From 6e0c2057f99f92b265eec220b927c005d51d46f0 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 22:54:54 +0300 Subject: [PATCH 01/98] Update student.ipynb --- student.ipynb | 124 +++++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 117 insertions(+), 7 deletions(-) diff --git a/student.ipynb b/student.ipynb index d3bb34af..78eb0a9c 100644 --- a/student.ipynb +++ b/student.ipynb @@ -7,20 +7,130 @@ "## Final Project Submission\n", "\n", "Please fill out:\n", - "* Student name: \n", - "* Student pace: self paced / part time / full time\n", + "* Student name: clyde ochieng\n", + "* Student pace: full time\n", "* Scheduled project review date/time: \n", - "* Instructor name: \n", + "* Instructor name: Nikita \n", "* Blog post URL:\n" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Kings County Housing Analysis with Multiple Linear Regression" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Overview\n", + "\n", + "\n", + "In the grand scheme of things, a youthful duo is in the midst of orchestrating the sale of their abode, harboring aspirations to elevate its market worth with minimal financial resources allocated for refurbishments. In a strategic move, the couple has opted to employ Multiple Linear Regression Modeling to meticulously scrutinize and prognosticate house sales trends in King County, leveraging specific attributes or variables. This analytical approach is poised to empower them with insights to navigate the market intelligently, thereby facilitating judicious decisions for maximizing profitability.\n", + "\n", + "Following a rigorous evaluation process and numerous iterations of our linear regression models, it has been ascertained that the dimensions of living space and the quality grade of the construction exhibit the most pronounced correlation with an augmented selling price of the property." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Business Problem\n", + "\n", + "\n", + "The business quandary at hand revolves around providing insightful counsel to prospective homeowners regarding the potential impact of home renovations on the estimated value of their properties, alongside quantifying the magnitude of such enhancements.\n", + "\n", + "In addressing this issue, we aim to equip homeowners, both buyers and sellers, with invaluable insights that can inform their decisions in the real estate market. Our focus lies in scrutinizing key factors such as building grade and square footage of living space, among others, to unveil the correlations that exist between these features and home sale prices. This comprehensive analysis seeks to elucidate the most influential attributes driving property values, thereby empowering stakeholders to make informed and strategic decisions pertaining to their real estate endeavors." + ] + }, + { + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "# Your code here - remember to use markdown cells for comments as well!" + "### Hypothesis\n", + "\n", + "\n", + "In crafting our hypotheses, we put forward the following propositions:\n", + "\n", + "Null Hypothesis (H0): Within our model, we posit that there is an absence of any substantial association between the independent variables and the dependent variable (target).\n", + "\n", + "Alternative Hypothesis (H1): Contrarily, we assert that a meaningful relationship does exist between the independent variables and the dependent variable (target) within our model.\n", + "\n", + "To guide our analytical journey and ensure robust conclusions, we have established a significance level (alpha) of 0.05. This chosen threshold will serve as a pivotal benchmark against which we evaluate the statistical significance of our findings and shape our ultimate recommendations for stakeholders." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Questions to be analyzed\n", + "\n", + "\n", + "Let's articulate the questions we aim to explore through our analysis:\n", + "\n", + "Q1: Which features show the strongest correlation with the price of a home?\n", + "\n", + "Q2: Among the predicting variables, which features exhibit the most significant correlations with each other?\n", + "\n", + "Q3: What combinations of features offer the most reliable predictions for home prices?\n", + "\n", + "These questions form the cornerstone of our investigation, guiding our efforts to uncover key insights that will assist homeowners, buyers, and sellers alike in navigating the complex landscape of real estate with confidence and clarity." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data Understanding\n", + "\n", + "\n", + "In our quest to gain a comprehensive understanding of the data under scrutiny, we turn our attention to the King County Housing dataset. This dataset encapsulates a wealth of information pertaining to over 21,000 homes situated in King County.\n", + "\n", + "Each entry in the dataset provides detailed insights into various attributes of the homes, encompassing factors such as the number of bedrooms, bathrooms, and floors, as well as the square footage of both living space and lot, the zip code, building grade, and condition, among others.\n", + "\n", + "The dataset comprises a multitude of features, each potentially contributing to the final sale price of homes in King County. Below, we delineate the descriptions of these features, laying the groundwork for a thorough exploration and analysis." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### King County Housing Data Columns \n", + "\n", + "Below is a comprehensive breakdown of the columns present in the King County Housing dataset:\n", + "\n", + "- `id`: A unique identifier assigned to each house.\n", + "- `date`: The date on which the house was sold. (This column will be ignored for our analysis.)\n", + "- `price`: The sale price of the house, serving as our prediction target.\n", + "- `bedrooms`: The number of bedrooms in the house.\n", + "- `bathrooms`: The number of bathrooms in the house.\n", + "- `sqft_living`: The square footage of the living space within the house.\n", + "- `sqft_lot`: The square footage of the lot on which the house is situated.\n", + "- `floors`: The number of floors or levels present in the house.\n", + "- `waterfront`: A binary indicator denoting whether the house is situated on a waterfront.\n", + "- `view`: An indication of the quality of the view from the house. (This column will be ignored for our analysis.)\n", + "- `condition`: An assessment of the overall condition of the house.\n", + "- `grade`: An overall grade assigned to the house.\n", + "- `sqft_above`: The square footage of the house, excluding the basement. (This column will be ignored for our analysis.)\n", + "- `sqft_basement`: The square footage of the basement within the house. (This column will be ignored for our analysis.)\n", + "- `yr_built`: The year in which the house was built.\n", + "- `yr_renovated`: The year in which the house was renovated. (This column will be ignored for our analysis.)\n", + "- `zipcode`: The ZIP code corresponding to the location of the house. (This column will be ignored for our analysis.)\n", + "- `lat`: The latitude coordinate of the house. (This column will be ignored for our analysis.)\n", + "- `long`: The longitude coordinate of the house. (This column will be ignored for our analysis.)\n", + "- `sqft_living15`: The square footage of interior housing living space for the nearest 15 neighbors. (This column will be ignored for our analysis.)\n", + "- `sqft_lot15`: The square footage of the land lots of the nearest 15 neighbors. (This column will be ignored for our analysis.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Explotory Data Analyis\n", + "\n", + "As we set sail on our journey of exploration, our first port of call involves the pivotal task of importing the dataset. This foundational step lays the groundwork for our subsequent analyses and insights, ushering us into the realm of data-driven discovery and understanding." ] } ], From c0e33c45781d67eea916d6fcbd8d1f27ca5f678f Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:03:51 +0300 Subject: [PATCH 02/98] Update student.ipynb --- student.ipynb | 198 +++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 195 insertions(+), 3 deletions(-) diff --git a/student.ipynb b/student.ipynb index 78eb0a9c..2e2cd520 100644 --- a/student.ipynb +++ b/student.ipynb @@ -132,13 +132,205 @@ "\n", "As we set sail on our journey of exploration, our first port of call involves the pivotal task of importing the dataset. This foundational step lays the groundwork for our subsequent analyses and insights, ushering us into the realm of data-driven discovery and understanding." ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "#load necessary modules \n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "import scipy.stats as stats\n", + "import statsmodels.formula.api as smf\n", + "import statsmodels.stats.api as sms\n", + "from statsmodels.formula.api import ols\n", + "from sklearn import datasets, linear_model\n", + "import seaborn as sns\n", + "from sklearn import preprocessing\n", + "from sklearn.preprocessing import LabelEncoder\n", + "from sklearn.preprocessing import OrdinalEncoder\n", + "from sklearn.preprocessing import OneHotEncoder\n", + "from sklearn import metrics\n", + "from sklearn.metrics import r2_score\n", + "from sklearn.metrics import mean_squared_error, make_scorer\n", + "from sklearn.model_selection import cross_val_score\n", + "from sklearn.feature_selection import RFE\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.model_selection import train_test_split\n", + "import warnings\n", + "warnings.filterwarnings('ignore')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Eliminating Irrelevant Columns\n", + "In our quest for clarity and focus, we embark on the process of streamlining our dataset by removing columns that are deemed irrelevant to our current analysis. This strategic pruning ensures that we hone in on the most pertinent features, thereby enhancing the efficacy and interpretability of our subsequent explorations." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idpricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontconditiongradeyr_built
07129300520221900.031.00118056501.0NaNAverage7 Average1955
16414100192538000.032.25257072422.0NOAverage7 Average1951
25631500400180000.021.00770100001.0NOAverage6 Low Average1933
32487200875604000.043.00196050001.0NOVery Good7 Average1965
41954400510510000.032.00168080801.0NOAverage8 Good1987
\n", + "
" + ], + "text/plain": [ + " id price bedrooms bathrooms sqft_living sqft_lot floors \\\n", + "0 7129300520 221900.0 3 1.00 1180 5650 1.0 \n", + "1 6414100192 538000.0 3 2.25 2570 7242 2.0 \n", + "2 5631500400 180000.0 2 1.00 770 10000 1.0 \n", + "3 2487200875 604000.0 4 3.00 1960 5000 1.0 \n", + "4 1954400510 510000.0 3 2.00 1680 8080 1.0 \n", + "\n", + " waterfront condition grade yr_built \n", + "0 NaN Average 7 Average 1955 \n", + "1 NO Average 7 Average 1951 \n", + "2 NO Average 6 Low Average 1933 \n", + "3 NO Very Good 7 Average 1965 \n", + "4 NO Average 8 Good 1987 " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# reading the csv file\n", + "# eliminating irrelevant columns\n", + "df = pd.read_csv('data/kc_house_data.csv').drop(['date',\n", + " 'view', \n", + " 'sqft_above', \n", + " 'sqft_basement', \n", + " 'yr_renovated',\n", + " 'zipcode', \n", + " 'lat', \n", + " 'long', \n", + " 'sqft_living15',\n", + " 'sqft_lot15'], axis = 1)\n", + "# previewing the DataFrame\n", + "df.head()" + ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python (learn-env)", "language": "python", - "name": "python3" + "name": "learn-env" }, "language_info": { "codemirror_mode": { @@ -150,7 +342,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.10.13" } }, "nbformat": 4, From 12ca9c0f81693ea2bb844ecbf3707cb92d0f3b46 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:19:05 +0300 Subject: [PATCH 03/98] Update README.md --- README.md | 298 +++++++++++------------------------------------------- 1 file changed, 59 insertions(+), 239 deletions(-) diff --git a/README.md b/README.md index 5dd0f84d..d1ad4bc4 100644 --- a/README.md +++ b/README.md @@ -1,285 +1,105 @@ -# Phase 2 Project Description +# King County Housing Analysis with Multiple Linear Regression. -Another module down - you're almost half way there! +Author: Clyde Ochiieng -![awesome](https://raw.githubusercontent.com/learn-co-curriculum/dsc-phase-2-project-v2-3/main/halfway-there.gif) +## Overview -All that remains in Phase 2 is to put your newfound data science skills to use with a large project! +In the grand scheme of things, a youthful duo is in the midst of orchestrating the sale of their abode, harboring aspirations to elevate its market worth with minimal financial resources allocated for refurbishments. In a strategic move, the couple has opted to employ Multiple Linear Regression Modeling to meticulously scrutinize and prognosticate house sales trends in King County, leveraging specific attributes or variables. This analytical approach is poised to empower them with insights to navigate the market intelligently, thereby facilitating judicious decisions for maximizing profitability. -In this project description, we will cover: +Following a rigorous evaluation process and numerous iterations of our linear regression models, it has been ascertained that the dimensions of living space and the quality grade of the construction exhibit the most pronounced correlation with an augmented selling price of the property. +## Business Problem -* Project Overview: the project goal, audience, and dataset -* Deliverables: the specific items you are required to produce for this project -* Grading: how your project will be scored -* Getting Started: guidance for how to begin working -## Project Overview +The business quandary at hand revolves around providing insightful counsel to prospective homeowners regarding the potential impact of home renovations on the estimated value of their properties, alongside quantifying the magnitude of such enhancements. -For this project, you will use multiple linear regression modeling to analyze house sales in a northwestern county. +In addressing this issue, we aim to equip homeowners, both buyers and sellers, with invaluable insights that can inform their decisions in the real estate market. Our focus lies in scrutinizing key factors such as building grade and square footage of living space, among others, to unveil the correlations that exist between these features and home sale prices. This comprehensive analysis seeks to elucidate the most influential attributes driving property values, thereby empowering stakeholders to make informed and strategic decisions pertaining to their real estate endeavors. +### Hypothesis -### Business Problem +In crafting our hypotheses, we put forward the following propositions: -It is up to you to define a stakeholder and business problem appropriate to this dataset. +Null Hypothesis (H0): Within our model, we posit that there is an absence of any substantial association between the independent variables and the dependent variable (target). -If you are struggling to define a stakeholder, we recommend you complete a project for a real estate agency that helps homeowners buy and/or sell homes. A business problem you could focus on for this stakeholder is the need to provide advice to homeowners about how home renovations might increase the estimated value of their homes, and by what amount. +Alternative Hypothesis (H1): Contrarily, we assert that a meaningful relationship does exist between the independent variables and the dependent variable (target) within our model. -### The Data +To guide our analytical journey and ensure robust conclusions, we have established a significance level (alpha) of 0.05. This chosen threshold will serve as a pivotal benchmark against which we evaluate the statistical significance of our findings and shape our ultimate recommendations for stakeholders. -This project uses the King County House Sales dataset, which can be found in `kc_house_data.csv` in the data folder in this assignment's GitHub repository. The description of the column names can be found in `column_names.md` in the same folder. As with most real world data sets, the column names are not perfectly described, so you'll have to do some research or use your best judgment if you have questions about what the data means. +### Questions to be analyzed -It is up to you to decide what data from this dataset to use and how to use it. If you are feeling overwhelmed or behind, we recommend you **ignore** some or all of the following features: +et's articulate the questions we aim to explore through our analysis: -* `date` -* `view` -* `sqft_above` -* `sqft_basement` -* `yr_renovated` -* `zipcode` -* `lat` -* `long` -* `sqft_living15` -* `sqft_lot15` +Q1: Which features show the strongest correlation with the price of a home? -### Key Points +Q2: Among the predicting variables, which features exhibit the most significant correlations with each other? -* **Your goal in regression modeling is to yield findings to support relevant recommendations. Those findings should include a metric describing overall model performance as well as at least two regression model coefficients.** As you explore the data and refine your stakeholder and business problem definitions, make sure you are also thinking about how a linear regression model adds value to your analysis. "The assignment was to use linear regression" is not an acceptable answer! You can also use additional statistical techniques other than linear regression, so long as you clearly explain why you are using each technique. +Q3: What combinations of features offer the most reliable predictions for home prices? -* **You should demonstrate an iterative approach to modeling.** This means that you must build multiple models. Begin with a basic model, evaluate it, and then provide justification for and proceed to a new model. After you finish refining your models, you should provide 1-3 paragraphs in the notebook discussing your final model. +These questions form the cornerstone of our investigation, guiding our efforts to uncover key insights that will assist homeowners, buyers, and sellers alike in navigating the complex landscape of real estate with confidence and clarity. -* **Data visualization and analysis are no longer explicit project requirements, but they are still very important.** In Phase 1, your project stopped earlier in the CRISP-DM process. Now you are going a step further, to modeling. Data visualization and analysis will help you build better models and tell a better story to your stakeholders. +## Data Understanding -## Deliverables +In our quest to gain a comprehensive understanding of the data under scrutiny, we turn our attention to the King County Housing dataset. This dataset encapsulates a wealth of information pertaining to over 21,000 homes situated in King County. -There are three deliverables for this project: +Each entry in the dataset provides detailed insights into various attributes of the homes, encompassing factors such as the number of bedrooms, bathrooms, and floors, as well as the square footage of both living space and lot, the zip code, building grade, and condition, among others. -* A **non-technical presentation** -* A **Jupyter Notebook** -* A **GitHub repository** +The dataset comprises a multitude of features, each potentially contributing to the final sale price of homes in King County. Below, we delineate the descriptions of these features, laying the groundwork for a thorough exploration and analysis. -The deliverables requirements are almost the same as in the Phase 1 Project, and you can review those extended descriptions [here](https://github.com/learn-co-curriculum/dsc-phase-1-project-v2-3#deliverables). In general, everything is the same except the "Data Visualization" and "Data Analysis" requirements have been replaced by "Modeling" and "Regression Results" requirements. +## Methods -### Non-Technical Presentation -Recall that the non-technical presentation is a slide deck presenting your analysis to ***business stakeholders***, and should be presented live as well as submitted in PDF form on Canvas. +The dataset underwent thorough exploration and investigation using core principles of Exploratory Data Analysis (EDA). Object data types were converted to integers using techniques like the split function or mapping. Subsequently, redundant data, including duplicates and irrelevant columns, was removed. Outliers were handled by excluding data points exceeding 3 standard deviations from the mean, tailored to the specific criteria under review. -We recommend that you follow this structure, although the slide titles should be specific to your project: +Descriptive statistics and visualizations played a crucial role in uncovering trends and identifying key factors essential for the development of profitable homes. Multiple linear regression models were constructed to identify the strongest correlations within the dataset. An iterative approach was adopted for model-building, with each model being evaluated meticulously. The process involved revisiting the data repeatedly to identify opportunities for enhancements or modifications aimed at achieving a more effective model. -1. Beginning - - Overview - - Business and Data Understanding -2. Middle - - **Modeling** - - **Regression Results** -3. End - - Recommendations - - Next Steps - - Thank you +## Results -Make sure that your discussion of modeling and regression results is geared towards a non-technical audience! Assume that their prior knowledge of regression modeling is minimal. You don't need to explain how linear regression works, but you should explain why linear regression is useful for the problem context. Make sure you translate any metrics or coefficients into their plain language implications. -The graded elements for the non-technical presentation are the same as in [Phase 1](https://github.com/learn-co-curriculum/dsc-phase-1-project-v2-3#deliverables). +### Visual 1 +![fig1](./images/grade vs price.png) -### Jupyter Notebook +A discernible positive correlation exists between building grade and home sale price. As the grade designation escalates on the scale of 1 to 13, the corresponding house price demonstrates a concurrent increase. -Recall that the Jupyter Notebook is a notebook that uses Python and Markdown to present your analysis to a ***data science audience***. You will submit the notebook in PDF format on Canvas as well as in `.ipynb` format in your GitHub repository. -The graded elements for the Jupyter Notebook are: +![fig2](./images/sqft_living vs price.png) -* Business Understanding -* Data Understanding -* Data Preparation -* **Modeling** -* **Regression Results** -* Code Quality +T# Exploring the Positive Relationship between Square-Footage of Living Space and Home Sale Price -### GitHub Repository +Our analysis unveils a strong positive correlation between the square footage of living space and the sale price of homes. As the living space expands, so does the corresponding price of the house. -Recall that the GitHub repository is the cloud-hosted directory containing all of your project files as well as their version history. +## Key Questions Investigated -The requirements are the same as in [Phase 1](https://github.com/learn-co-curriculum/dsc-phase-1-project-v2-3#github-repository), except for the required sections in the `README.md`. +### Question 1: Features with the Strongest Impact on Home Price +We identified that the grade of the house, square footage of living space (sqft_living), and the number of bathrooms have the most significant correlation with home price. -For this project, the `README.md` file should contain: +### Question 2: Features Exhibiting Strong Correlations with Other Predictive Variables +We found no features with correlations exceeding 0.75, indicating no significant multicollinearity issues. However, sqft_living and grade demonstrate the highest correlation within our dataset. -* Overview -* Business and Data Understanding - * Explain your stakeholder audience here -* **Modeling** -* **Regression Results** -* Conclusion +### Question 3: Best Feature Combinations for Accurate Price Predictions +Our analysis suggests that a multiple regression model incorporating grade, sqft_living, and bathrooms offers the best fit for predicting house prices. These features not only show high correlation with price but also exhibit low multicollinearity, collectively explaining over half of the price variability. -Just like in Phase 1, the `README.md` file should be the bridge between your non technical presentation and the Jupyter Notebook. It should not contain the code used to develop your analysis, but should provide a more in-depth explanation of your methodology and analysis than what is described in your presentation slides. +## Summary of Modeling Efforts -## Grading +We developed six models to predict housing prices, each yielding valuable insights: -***To pass this project, you must pass each project rubric objective.*** The project rubric objectives for Phase 2 are: +- Model #1: Basic model using the two most correlated features resulted in an R2 of 0.486. +- Model #2: Improved model with train-test split and one-hot encoding applied to the condition feature achieved an R2 of 0.605. +- Model #3: Model dropped multicollinear feature sqft_living, resulting in an R2 of 0.467. +- Model #4: Utilized significant features sqft_living, grade, and bathrooms, resulting in an R2 of 0.485. +- Model #5: Employed relevant features with one-hot encoding on the condition feature, resulting in an R2 of 0.609. +- Model #6 (Final Model): Incorporated all techniques, yielding the highest R2 of 0.871. -1. Attention to Detail -2. Statistical Communication -3. Data Preparation Fundamentals -4. Linear Modeling +## Evaluation and Conclusion -### Attention to Detail +The final model's predictability significantly increased to 0.871, indicating its effectiveness in predicting housing prices. Recommendations derived from our analysis include increasing square footage, aiming for higher building grades, and adding bathrooms to the property, all of which contribute to higher sale prices. -Just like in Phase 1, this rubric objective is based on your completion of checklist items. ***In Phase 2, you need to complete 70% (7 out of 10) or more of the checklist elements in order to pass the Attention to Detail objective.*** +For further inquiries, please contact: -**NOTE THAT THE PASSING BAR IS HIGHER IN PHASE 2 THAN IT WAS IN PHASE 1!** +Clyde Ochieng at -The standard will increase with each Phase, until you will be required to complete all elements to pass Phase 5 (Capstone). +## Repository Structure -#### Exceeds Objective - -80% or more of the project checklist items are complete - -#### Meets Objective (Passing Bar) - -70% of the project checklist items are complete - -#### Approaching Objective - -60% of the project checklist items are complete - -#### Does Not Meet Objective - -50% or fewer of the project checklist items are complete - -### Statistical Communication - -Recall that communication is one of the key data science "soft skills". In Phase 2, we are specifically focused on Statistical Communication. We define Statistical Communication as: - -> Communicating **results of statistical analyses** to diverse audiences via writing and live presentation - -Note that this is the same as in Phase 1, except we are replacing "basic data analysis" with "statistical analyses". - -High-quality Statistical Communication includes rationale, results, limitations, and recommendations: - -* **Rationale:** Explaining why you are using statistical analyses rather than basic data analysis - * For example, why are you using regression coefficients rather than just a graph? - * What about the problem or data is suitable for this form of analysis? - * For a data science audience, this includes your reasoning for the changes you applied while iterating between models. -* **Results:** Describing the overall model metrics and feature coefficients - * You need at least one overall model metric (e.g. r-squared or RMSE) and at least two feature coefficients. - * For a business audience, make sure you connect any metrics to real-world implications. You do not need to get into the details of how linear regression works. - * For a data science audience, you don't need to explain what a metric is, but make sure you explain why you chose that particular one. -* **Limitations:** Identifying the limitations and/or uncertainty present in your analysis - * This could include p-values/alpha values, confidence intervals, assumptions of linear regression, missing data, etc. - * In general, this should be more in-depth for a data science audience and more surface-level for a business audience. -* **Recommendations:** Interpreting the model results and limitations in the context of the business problem - * What should stakeholders _do_ with this information? - -#### Exceeds Objective - -Communicates the rationale, results, limitations, and specific recommendations of statistical analyses - -> See above for extended explanations of these terms. - -#### Meets Objective (Passing Bar) - -Successfully communicates the results of statistical analyses without any major errors - -> The minimum requirement is to communicate the _results_, meaning at least one overall model metric (e.g. r-squared or RMSE) as well as at least two feature coefficients. See the Approaching Objective section for an explanation of what a "major error" means. - -#### Approaching Objective - -Communicates the results of statistical analyses with at least one major error - -> A major error means that some aspect of your explanation is fundamentally incorrect. For example, if a feature coefficient is negative and you say that an increase in that feature results in an increase of the target, that would be a major error. Another example would be if you say that the feature with the highest coefficient is the "most statistically significant" while ignoring the p-value. One more example would be reporting a coefficient that is not statistically significant, rather than saying "no statistically significant linear relationship was found" - -> "**If a coefficient's t-statistic is not significant, don't interpret it at all.** You can't be sure that the value of the corresponding parameter in the underlying regression model isn't really zero." _DeVeaux, Velleman, and Bock (2012), Stats: Data and Models, 3rd edition, pg. 801_. Check out [this website](https://web.ma.utexas.edu/users/mks/statmistakes/TOC.html) for extensive additional examples of mistakes using statistics. - -> The easiest way to avoid making a major error is to have someone double-check your work. Reach out to peers on Slack and ask them to confirm whether your interpretation makes sense! - -#### Does Not Meet Objective - -Does not communicate the results of statistical analyses - -> It is not sufficient to just display the entire results summary. You need to pull out at least one overall model metric (e.g. r-squared, RMSE) and at least two feature coefficients, and explain what those numbers mean. - -### Data Preparation Fundamentals - -We define this objective as: - -> Applying appropriate **preprocessing** and feature engineering steps to tabular data in preparation for statistical modeling - -The two most important components of preprocessing for the Phase 2 project are: - -* **Handling Missing Values:** Missing values may be present in the features you want to use, either encoded as `NaN` or as some other value such as `"?"`. Before you can build a linear regression model, make sure you identify and address any missing values using techniques such as dropping or replacing data. -* **Handling Non-Numeric Data:** A linear regression model needs all of the features to be numeric, not categorical. For this project, ***be sure to pick at least one non-numeric feature and try including it in a model.*** You can identify that a feature is currently non-numeric if the type is `object` when you run `.info()` on your dataframe. Once you have identified the non-numeric features, address them using techniques such as ordinal or one-hot (dummy) encoding. - -There is no single correct way to handle either of these situations! Use your best judgement to decide what to do, and be sure to explain your rationale in the Markdown of your notebook. - -Feature engineering is encouraged but not required for this project. - -#### Exceeds Objective - -Goes above and beyond with data preparation, such as feature engineering or merging in outside datasets - -> One example of feature engineering could be using the `date` feature to create a new feature called `season`, which represents whether the home was sold in Spring, Summer, Fall, or Winter. - -> One example of merging in outside datasets could be finding data based on ZIP Code, such as household income or walkability, and joining that data with the provided CSV. - -#### Meets Objective (Passing Bar) - -Successfully prepares data for modeling, including converting at least one non-numeric feature into ordinal or binary data and handling missing data as needed - -> As a reminder, you can identify the non-numeric features by calling `.info()` on the dataframe and looking for type `object`. - -> Your final model does not necessarily need to include any features that were originally non-numeric, but you need to demonstrate your ability to handle this type of data. - -#### Approaching Objective - -Prepares some data successfully, but is unable to utilize non-numeric data - -> If you simply subset the dataframe to only columns with type `int64` or `float64`, your model will run, but you will not pass this objective. - -#### Does Not Meet Objective - -Does not prepare data for modeling - -### Linear Modeling - -According to [Kaggle's 2020 State of Data Science and Machine Learning Survey](https://www.kaggle.com/kaggle-survey-2020), linear and logistic regression are the most popular machine learning algorithms, used by 83.7% of data scientists. They are small, fast models compared to some of the models you will learn later, but have limitations in the kinds of relationships they are able to learn. - -In this project you are required to use linear regression as the primary statistical analysis, although you are free to use additional statistical techniques as appropriate. - -#### Exceeds Objective - -Goes above and beyond in the modeling process, such as recursive feature selection - -#### Meets Objective (Passing Bar) - -Successfully builds a baseline model as well as at least one iterated model, and correctly extracts insights from a final model without any major errors - -> We are looking for you to (1) create a baseline model, (2) iterate on that model, making adjustments that are supported by regression theory or by descriptive analysis of the data, and (3) select a final model and report on its metrics and coefficients - -> Ideally you would include written justifications for each model iteration, but at minimum the iterations must be _justifiable_ - -> For an explanation of "major errors", see the description below - -#### Approaching Objective - -Builds multiple models with at least one major error - -> The number one major error to avoid is including the target as one of your features. For example, if the target is `price` you should NOT make a "price per square foot" feature, because that feature would not be available if you didn't already know the price. - -> Other examples of major errors include: using a target other than `price`, attempting only simple linear regression (not multiple linear regression), dropping multiple one-hot encoded columns without explaining the resulting baseline, or using a unique identifier (`id` in this dataset) as a feature. - -#### Does Not Meet Objective - -Does not build multiple linear regression models - -## Getting Started - -Please start by reviewing the contents of this project description. If you have any questions, please ask your instructor ASAP. - -Next, you will need to complete the [***Project Proposal***](#project_proposal) which must be reviewed by your instructor before you can continue with the project. - -Here are some suggestions for creating your GitHub repository: - -1. Fork the [Phase 2 Project Repository](https://github.com/learn-co-curriculum/dsc-phase-2-project-v2-3), clone it locally, and work in the `student.ipynb` file. Make sure to also add and commit a PDF of your presentation to your repository with a file name of `presentation.pdf`. -2. Or, create a new repository from scratch by going to [github.com/new](https://github.com/new) and copying the data files from the Phase 2 Project Repository into your new repository. - - Recall that you can refer to the [Phase 1 Project Template](https://github.com/learn-co-curriculum/dsc-project-template) as an example structure - - This option will result in the most professional-looking portfolio repository, but can be more complicated to use. So if you are getting stuck with this option, try forking the project repository instead - -## Summary - -This is your first modeling project! Take what you have learned in Phase 2 to create a project with a more sophisticated analysis than you completed in Phase 1. You will build on these skills as we move into the predictive machine learning mindset in Phase 3. You've got this! +- README.md: Top-level README for reviewers +- King_County_Housing...ipynb: Jupyter notebook +- house_slides.pdf: Project presentation slides (PDF) +- house_notebook.pdf: Jupyter notebook (PDF) +- data: Data directory (sourced externally or generated from code) +- images: Image directory (sourced externally or generated from code) From caa2de4dc085412ffbe44426d191d4a840487252 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:21:35 +0300 Subject: [PATCH 04/98] Update student.ipynb --- student.ipynb | 61 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 61 insertions(+) diff --git a/student.ipynb b/student.ipynb index 2e2cd520..456bfe9f 100644 --- a/student.ipynb +++ b/student.ipynb @@ -324,6 +324,67 @@ "# previewing the DataFrame\n", "df.head()" ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(21597, 11)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dataset comprises 21,597 houses, each characterized by 11 features." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 21597 entries, 0 to 21596\n", + "Data columns (total 11 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 id 21597 non-null int64 \n", + " 1 price 21597 non-null float64\n", + " 2 bedrooms 21597 non-null int64 \n", + " 3 bathrooms 21597 non-null float64\n", + " 4 sqft_living 21597 non-null int64 \n", + " 5 sqft_lot 21597 non-null int64 \n", + " 6 floors 21597 non-null float64\n", + " 7 waterfront 19221 non-null object \n", + " 8 condition 21597 non-null object \n", + " 9 grade 21597 non-null object \n", + " 10 yr_built 21597 non-null int64 \n", + "dtypes: float64(3), int64(5), object(3)\n", + "memory usage: 1.8+ MB\n" + ] + } + ], + "source": [ + "df.info()" + ] } ], "metadata": { From 5142f6242dd53bba6496e4da7d18aea3f7456982 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:24:17 +0300 Subject: [PATCH 05/98] Update student.ipynb --- student.ipynb | 189 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 189 insertions(+) diff --git a/student.ipynb b/student.ipynb index 456bfe9f..52109267 100644 --- a/student.ipynb +++ b/student.ipynb @@ -385,6 +385,195 @@ "source": [ "df.info()" ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idpricebedroomsbathroomssqft_livingsqft_lotfloorsyr_built
count2.159700e+042.159700e+0421597.00000021597.00000021597.0000002.159700e+0421597.00000021597.000000
mean4.580474e+095.402966e+053.3732002.1158262080.3218501.509941e+041.4940961970.999676
std2.876736e+093.673681e+050.9262990.768984918.1061254.141264e+040.53968329.375234
min1.000102e+067.800000e+041.0000000.500000370.0000005.200000e+021.0000001900.000000
25%2.123049e+093.220000e+053.0000001.7500001430.0000005.040000e+031.0000001951.000000
50%3.904930e+094.500000e+053.0000002.2500001910.0000007.618000e+031.5000001975.000000
75%7.308900e+096.450000e+054.0000002.5000002550.0000001.068500e+042.0000001997.000000
max9.900000e+097.700000e+0633.0000008.00000013540.0000001.651359e+063.5000002015.000000
\n", + "
" + ], + "text/plain": [ + " id price bedrooms bathrooms sqft_living \\\n", + "count 2.159700e+04 2.159700e+04 21597.000000 21597.000000 21597.000000 \n", + "mean 4.580474e+09 5.402966e+05 3.373200 2.115826 2080.321850 \n", + "std 2.876736e+09 3.673681e+05 0.926299 0.768984 918.106125 \n", + "min 1.000102e+06 7.800000e+04 1.000000 0.500000 370.000000 \n", + "25% 2.123049e+09 3.220000e+05 3.000000 1.750000 1430.000000 \n", + "50% 3.904930e+09 4.500000e+05 3.000000 2.250000 1910.000000 \n", + "75% 7.308900e+09 6.450000e+05 4.000000 2.500000 2550.000000 \n", + "max 9.900000e+09 7.700000e+06 33.000000 8.000000 13540.000000 \n", + "\n", + " sqft_lot floors yr_built \n", + "count 2.159700e+04 21597.000000 21597.000000 \n", + "mean 1.509941e+04 1.494096 1970.999676 \n", + "std 4.141264e+04 0.539683 29.375234 \n", + "min 5.200000e+02 1.000000 1900.000000 \n", + "25% 5.040000e+03 1.000000 1951.000000 \n", + "50% 7.618000e+03 1.500000 1975.000000 \n", + "75% 1.068500e+04 2.000000 1997.000000 \n", + "max 1.651359e+06 3.500000 2015.000000 " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 2.159700e+04\n", + "mean 5.402966e+05\n", + "std 3.673681e+05\n", + "min 7.800000e+04\n", + "25% 3.220000e+05\n", + "50% 4.500000e+05\n", + "75% 6.450000e+05\n", + "max 7.700000e+06\n", + "Name: price, dtype: float64" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# descriptive statistics for price dataframe.\n", + "df['price'].describe()" + ] } ], "metadata": { From 0432ed8bde6b0a800b1f5dec947890694e068657 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:28:24 +0300 Subject: [PATCH 06/98] Update student.ipynb --- student.ipynb | 79 ++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 78 insertions(+), 1 deletion(-) diff --git a/student.ipynb b/student.ipynb index 52109267..7bb0f61b 100644 --- a/student.ipynb +++ b/student.ipynb @@ -571,9 +571,86 @@ } ], "source": [ - "# descriptive statistics for price dataframe.\n", + "# indepth statistics for price dataframe.\n", "df['price'].describe()" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "The dataset indicates that the average price of homes is $540,297. Prices within the dataset range from $78,000 to $8,000,000. Additionally, the median house price is reported to be $450,000." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 21597.000000\n", + "mean 2080.321850\n", + "std 918.106125\n", + "min 370.000000\n", + "25% 1430.000000\n", + "50% 1910.000000\n", + "75% 2550.000000\n", + "max 13540.000000\n", + "Name: sqft_living, dtype: float64" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# indepth statistics for square footage\n", + "df['sqft_living'].describe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dataset reveals that the mean square footage of living space is 2,080 sq-ft, with living space ranging from 370 sq-ft to 13,540 sq-ft. The median square footage is reported to be 1,910 sq-ft." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bedrooms\n", + "3 9824\n", + "4 6882\n", + "2 2760\n", + "5 1601\n", + "6 272\n", + "1 196\n", + "7 38\n", + "8 13\n", + "9 6\n", + "10 3\n", + "11 1\n", + "33 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['bedrooms'].value_counts()" + ] } ], "metadata": { From dc7c5143310f2dac2c2fef1732b3070d9b8e43f3 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:30:55 +0300 Subject: [PATCH 07/98] Update student.ipynb --- student.ipynb | 57 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 57 insertions(+) diff --git a/student.ipynb b/student.ipynb index 7bb0f61b..6e4b71cd 100644 --- a/student.ipynb +++ b/student.ipynb @@ -651,6 +651,63 @@ "source": [ "df['bedrooms'].value_counts()" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The bedroom counts in the dataset vary from 1 bedroom to 33 bedrooms." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bathrooms\n", + "2.50 5377\n", + "1.00 3851\n", + "1.75 3048\n", + "2.25 2047\n", + "2.00 1930\n", + "1.50 1445\n", + "2.75 1185\n", + "3.00 753\n", + "3.50 731\n", + "3.25 589\n", + "3.75 155\n", + "4.00 136\n", + "4.50 100\n", + "4.25 79\n", + "0.75 71\n", + "4.75 23\n", + "5.00 21\n", + "5.25 13\n", + "5.50 10\n", + "1.25 9\n", + "6.00 6\n", + "0.50 4\n", + "5.75 4\n", + "6.75 2\n", + "8.00 2\n", + "6.25 2\n", + "6.50 2\n", + "7.50 1\n", + "7.75 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['bathrooms'].value_counts()" + ] } ], "metadata": { From 906ebb31b8ffdee4c453ab27eac36ab480a63455 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:32:53 +0300 Subject: [PATCH 08/98] Update student.ipynb --- student.ipynb | 119 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 119 insertions(+) diff --git a/student.ipynb b/student.ipynb index 6e4b71cd..ae04f85e 100644 --- a/student.ipynb +++ b/student.ipynb @@ -708,6 +708,125 @@ "source": [ "df['bathrooms'].value_counts()" ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "floors\n", + "1.0 10673\n", + "2.0 8235\n", + "1.5 1910\n", + "3.0 611\n", + "2.5 161\n", + "3.5 7\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['floors'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "sqft_lot\n", + "5000 358\n", + "6000 290\n", + "4000 251\n", + "7200 220\n", + "4800 119\n", + " ... \n", + "22605 1\n", + "25248 1\n", + "9934 1\n", + "9142 1\n", + "1076 1\n", + "Name: count, Length: 9776, dtype: int64" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['sqft_lot'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 2.159700e+04\n", + "mean 1.509941e+04\n", + "std 4.141264e+04\n", + "min 5.200000e+02\n", + "25% 5.040000e+03\n", + "50% 7.618000e+03\n", + "75% 1.068500e+04\n", + "max 1.651359e+06\n", + "Name: sqft_lot, dtype: float64" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['sqft_lot'].describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "yr_built\n", + "2014 559\n", + "2006 453\n", + "2005 450\n", + "2004 433\n", + "2003 420\n", + " ... \n", + "1933 30\n", + "1901 29\n", + "1902 27\n", + "1935 24\n", + "1934 21\n", + "Name: count, Length: 116, dtype: int64" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['yr_built'].value_counts()" + ] } ], "metadata": { From 9c66a28a36877224289e81d218dc253116885746 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:35:41 +0300 Subject: [PATCH 09/98] Update student.ipynb --- student.ipynb | 57 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 57 insertions(+) diff --git a/student.ipynb b/student.ipynb index ae04f85e..f1c72a1b 100644 --- a/student.ipynb +++ b/student.ipynb @@ -827,6 +827,63 @@ "source": [ "df['yr_built'].value_counts()" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "The dataset indicates that houses were built between the years 1934 and 2014." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "condition\n", + "Average 14020\n", + "Good 5677\n", + "Very Good 1701\n", + "Fair 170\n", + "Poor 29\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['condition'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "waterfront\n", + "NO 19075\n", + "YES 146\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['waterfront'].value_counts()" + ] } ], "metadata": { From 11db02e7c246a6a832283faf27b8040fb71124e8 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:43:37 +0300 Subject: [PATCH 10/98] Update student.ipynb --- student.ipynb | 119 ++++++++++++++++++++++++++++++++++++++------------ 1 file changed, 91 insertions(+), 28 deletions(-) diff --git a/student.ipynb b/student.ipynb index f1c72a1b..0dd43406 100644 --- a/student.ipynb +++ b/student.ipynb @@ -135,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -175,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -303,7 +303,7 @@ "4 NO Average 8 Good 1987 " ] }, - "execution_count": 2, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -327,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -336,7 +336,7 @@ "(21597, 11)" ] }, - "execution_count": 3, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -354,7 +354,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -388,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -537,7 +537,7 @@ "max 1.651359e+06 3.500000 2015.000000 " ] }, - "execution_count": 5, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -548,7 +548,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -565,7 +565,7 @@ "Name: price, dtype: float64" ] }, - "execution_count": 6, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -585,7 +585,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -602,7 +602,7 @@ "Name: sqft_living, dtype: float64" ] }, - "execution_count": 7, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -621,7 +621,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -643,7 +643,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 8, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -661,7 +661,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -700,7 +700,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 9, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -727,7 +727,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 10, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -738,7 +738,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -759,7 +759,7 @@ "Name: count, Length: 9776, dtype: int64" ] }, - "execution_count": 11, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -770,7 +770,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -787,7 +787,7 @@ "Name: sqft_lot, dtype: float64" ] }, - "execution_count": 12, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -798,7 +798,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -819,7 +819,7 @@ "Name: count, Length: 116, dtype: int64" ] }, - "execution_count": 13, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -838,7 +838,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -853,7 +853,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 14, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -864,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -876,7 +876,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 15, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -884,6 +884,69 @@ "source": [ "df['waterfront'].value_counts()" ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAk0AAAJNCAYAAAAs+kFYAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAACscUlEQVR4nOzdeXxcV3k//s85995ZtVuSVzmJ7SQ4jrOQPWSjlCXQFNJCIQltSL/w6zdNWUppKSnQ0kJcWqB0NTTlm7JkAQoOSyGELQ7BibPHTuLEayzLlizJkmbRzNztnN8fd2Y0kkbSSJY0I+nzfr1CiKzlSLZ1PzrnOc8jtNYaRERERDQpWe0FEBERES0EDE1EREREFWBoIiIiIqoAQxMRERFRBRiaiIiIiCrA0ERERERUAYYmIiIiogowNBERERFVgKGJiIiIqAIMTUREREQVMKu9ABqhlEJXVxd6kjZ2d2ewfyAHYUURD5tY3RTFuriLU5rD6OjogJTMu0RERPNJcPZc7fj1rn34y20voCtrQkOUfZ244eOGs+vxrktPQ8iQWLNmDQMUERHRPGBoqhHfeaoLH/vuLjh+8NvRFNJoMl0Iz0a0oRndAykkdARKB2GqzhI4pz6Dv3/XxVi7dm01l05ERLQkMDRVme/7+Pj/PIl7n+kHAKyIS5wRSWNZXQTKyUCGYli74Uy88uIzUGYMhxIu9g+HkPOD8PTWTS347LsuRsQyqvlpEBERLXo816kSpRQ6Ozvx8bu3FwPTqcYQLl3moTmkyr6NKYH1cRe/uUrjnNWNAIDvvTCAa//pl9jbk5y3tRMRES1FDE1V0tXVhT+753Hc+2IWAHD1GW04t92EKF/KNIolgde+qh2XtWQREj4ODdj47X97BP/zVNccr5qIiGjpYmiqkmNJB88kowCAdfUa53U0Tft9tId9vG61wIq4RM7T+Mi3n8OHv/ks0rZX3Mnq7OyEUuV3roiIiKhybDlQBVprfO6ho/AUsCzkY3NzBdtLE4gYwOtOCcFRAt95OYvvPnMUT3cO4mPXrMSPdjwHAPiz6y9jsTgREdFJYmiaR4U+TD9+aRBPdqVhCOC8xhykiJ7U+00P9iOdTuOypnq8lKvHKycy+OPvHsC57c3Y1GbN0uqJiIiWNh7PzaOuri5s+c6j+Pz2oPboVY0KdebsXF5saGlHa0Rjk9GNUxoM+Bp4+riLn79iI+P4s/IxiIiIljKGpnnW6TfD8YF608eGhtl//8uWteGtF56G8xpzMITGsbSPD37vEPrT9ux/MCIioiWEoWkeHU852HPCBQCcVe9AzryUaVJCCJwS83Dlco2wAbzcl8XvfelR9KZyc/MBiYiIlgCGpnl01xO9UBpY3RTF8vDcH5k1h4E3nRZGa1TiYP8w3rn1EfQzOBEREc0IQ9M8OdQ/jAdeHgQAXLGhtaJ+TLNi+AROl8cRNQUODdi44cu/RiLrztMHJyIiWjwYmubJ1of2Q2lgTb2BFY2Ref3YK1qX4e0XrkXEAPb15/Ceux5H2vbmdQ1EREQLHUPTPDg6lMV3nz4KANjcXp0WAC3xEF5/WhT1YQPPdA7h//z3E8jyVh0REVHFGJrmwX9uPwBPaZzVaqI1Wr0veVMY+OglccRDEjsPDeD/+/qTsD0GJyIiokowNM2xvpSNex/vBACEEl1Ip9JVW0tyoA+/fGYvzounEDaAX+3rxx/+169huzyqIyIimgpD0xz7f78+BMfXaI1KrF1WV+3lFJtgnhUagBTAr19J4T1f+iUOvXKYM+qIiIgmwdA0hxIZF19/9DCAoJZp3m7MVeDU9ib81jmrIKDx6FEHf/DVZ9B55Ei1l0VERFSzGJrmiFIK//LAs0jbHjoaDKyuq70v9WmtcVzYlIOAxpGshS8+fAxaz85YFyIiosWm9p7kC5xSCp2dnXj414/h60/0AAAasj0YTg9XeWXlrYr6uKA1CEr3vzCAz/zvHgYnIiKiMsxqL2Cx6erqwue3PYqX+3JwdCsaIibWN0WrvaxJdcQBK2Th0WMu/uuRQ4haEn/2xldVe1lEREQ1hTtNc6BhWTu60QwAOGdNU03VMk2kXQ/ijHASAPCvvzyAf//l/iqviIiIqLYwNM2B/oxCwjMghcZZqxqqvZyKbVpRh1evCJpv/uNPXsb/e+RQlVdERERUOxia5sBLA8FstzUxIGoZVV7N9GxaZuJ3zwyOE//2hy/i7sdeqe6CiIiIagRD0ywbzHg4nAi6bK+rX3gF1cmBPgwePYRNrcGO08fvfwHffbqryqsiIiKqPoamWfbDPQNQGmi2fDSHq72amWlc1o7XnXMKzmwxoAF85NvP4YfPHa32soiIiKqKoWkWeb7C/c8PAABOi7lVXs3JEULgzFACq6wMlAY+eN+z+OGuY9VeFhERUdUwNM2in+3pRd+wi7ABrIou/HluQgAXr4xgXaMBXwMfuPcZ/NdPn+O4FSIiWpIYmmbR1/NF06e3WDAWQJuBSggBnB1NYGV+x+nTPz+CO3+2u9rLIiIimncMTbNkb08Sv95/AgLA6c0L68bcVIQALlkZwdmrGwAIbPlFF/71x89wx4mIiJYUhqZZ8qWfvwgAWCYzgJ2p8mpmnxDAb5zZjtNiDgDg89uP4a++9QR8tfBuCBIREc0EQ9MsSNseHnhpEABwetMiOZcrQwiBzQ0OzmwMgtK9z/bjfV97En3JLDo7O9HZ2cndJyIiWrQ4e24WbHvmKDKuQkNIoC3kV3s5c0oI4KwmjbaGCB4/5uAXL/XijV98GGeEU1ge8fFn11+GtWvXVnuZREREs447TSdJa42vP/oKAODMZdaCmDM3G05rkPjbK+txanMYAxkPjw1G8VymEScyC7vVAhER0UQYmk7SYwcHsPd4GlFTYn3z0tm4Sw704adP7cXlqwx0GAkAGq8kfPz+PXvxjccOQ7HWiYiIFhmGppOglMKXfxEUgF++xoK1xL6aDS3taFuxGq9uN/DaFRotEYG0o/Dx+5/H27+0Ay/1JKu9RCIiolmzxB7zs+uZlw5h+4EEACB17CDSqXSVV1Q9TWHgiqYUzggnYQiNpzuH8JZ//hU+9s2dSOecai+PiIjopDE0nYTvvzgADYFVTRGsXNZY7eVUnRDAphV1eF1bBm1mDr4G7n2mH9d89uf41q9e4M06IiJa0BiaZsjxFH7wYjBn7tw1TdVdTI2JGhpXrA7hunNWImoo9GcV/uJ/X8GffO0xJHMsFCciooWJoWkGlFL471/sxkDGQ9QUWN9WV+0l1aR1bXX4jdYM1tcHReE/emkQb/ynh/Hw3r4qr4yIiGj6GJpm4MiRI/j3hw8DAE6r82HIJdJnYAZMCZzTovGGU0NYHpfoTuTwB//vcfzF/zyHvpRd7eURERFVjKFpBp45NoyEZ8AQGqdxk6kiUXsAG0U3zlwWtGX41pNduPoffoGtD+2H7S3uhqBERLQ4MDTNwLee6wcAdERdhBbXbN451bysDW867zRcsSyDeuki4yp89oGXcc0//Bx3/XwXPIYnIiKqYQxN07SnO4kdr6QAAOvjLGqeiWUhhdetMXB+Yw5h4aM76eJTPz2C13/hl/jBc8c4BJiIiGoSQ9M0feGnewEApzYaqDP5cJ8pIYC1MQ9vWCNw6WktsCRwaMDG++99Bm/8p+347tNdPLYjIqKasnTmfsyC544M4acvHocUwLnLQ0Cq2ita+EwJXLJuGVoyndgzqNHl1mF/3zA+/K3n8KnvP483ntmEq9c14o0XnAHT5FkoERFVD0PTNHw+v8v0hjOa0BhykWBomjWWBM5bGcfF0SggBH56yMZAzse3njuBbz13Ast+0ok3n7Mav3nWclx8aguiLCYjIqJ5xtBUoR88dwwP7+2DKQXec+Fy/GhXV7WXtCjlEv1Ip9M4R+eQa1uLQaMRB3tTOJHx8PXHDuPrjx1GyBA4e0UMrzt7Na48vQ2bVjWy7QMREc05hqYK9KZy+MT3ngcA/MlvbMCqxlCVV7S4NbS0QzkZNIeASzaswAF040jCQa9jYUDFYPsGnj46jKeP7sU//mQvGsIGNq+M4azlMVy5aS3O7WhGY9Sq9qdBRESLDEPTFHyl8Zff2Y2hjIvTWyP47fVhHD16FFqzCHy+GAJY196EU50MhCXQsOoUPPPiXnRnNAa9EJI28OtXUvj1KyncufM4AGBNcxTrWuNoi2isbQ5jbVMYF288BauaYhCCu1JERDR9DE2T8HyFD3/rOfzipV6YUmANBvDfOw6ha98LaFy+ttrLW5KEAJrjIayLu9jQHINnZ5BADLq+HQePdGPAFshqE12DWXQNZke/8fcPIWJKdDSFsLYpjI6mMM5fvxLr2+uxri2OWIh/HYiIaGJ8SkygJ5HDx+9/Hj/bcxymFPjk6zuw/9gJNLevQqL/eLWXR3lSAMtCwNq1zWhJvwIZiiGbS6M3aSPjanixZfBDdegdTCHjC+Q8hX39OezrzwEA/vvJ3uL7aoub6GgKF3emXr1hNda312N1UxSSNVNEREseQ1MJpTSe6xrCA8/34GuPHkbW9WEZAn/zhrVYF0phH4/kFoSwBE5pb4ZyMpAhjbUbVuGVF58BrBhS2QyGEYXZ2IYjR3uQcDQyvgEXBvqGPfQNe3j66HDwjh7pBgCEDIG2uIXGqIHGiIGmqIW2pgZEQwbCloGwKRHJ/ztkSliGgCklLCP4/5YhYeb/bRkSphTlf01KWKYovg6PEYmIagtDU96RgQyu/49foz/tFF929ooY3nWGiZ3PPI+fD51A4/K1aFlexUXSSZECqDc1GkPA2lNa0Dp8GDIUg3Iy8IwYktkchhGBrFuGoz19SLhAVhlwfOBo0sHRZOl7G5zz9ZpSwJSFfwuYRvBvSwoYUuTDWfBvQwS/LhEcYSL/byEEBBD8Iwr/Dl5BlLyuFALxeAwy/4JsJgNAAxDBLpvWo96+8D7q6uIAgMzwMJD/oULkXz947eBjFN5vfV0dIARK8+BwOujdUV9fDwBIp9LFt2vIvyyVfx0Bgfr6ekgpUHgXxc+35OMV333J5zrya2LM243+ei1kC7nWcgEvHRef1oJL1i2r9jJoHizo0KS1Rio1O82S6qSGM5yCsF3Uewm0iBRWZRrx7e8fQEPbamgvh/5jhxEyJU70HIEwI9BeDsKMlH3ZZL82V++jGh9zMb0P7eUQNyNY1SQRcfZBmBH4KgfHiKOhfTWOHe2CJ0NwfI2c4yISb0A6lYSWFpRS0NKE0gpamLDCEeRyOUBKKA1ASEjTgut6gJDQADQkICSU1tBifHN+J/8PEdW2W69ej42ts3djt76+fsEH+MVK6AX8o0kymURjY2O1l0FERDRrEokEGhoaqr0MKmNBh6ZKdpqSySQ6Ojpw5MiRJfGHcKl9vsDS+5z5+S5+S+1z5uc7GneaateCPp4TQlT8F6yhoWFJ/GUsWGqfL7D0Pmd+vovfUvuc+flSrRtfSEFERERE4zA0EREREVVg0YemcDiMv/7rv0Y4HK72UubFUvt8gaX3OfPzXfyW2ufMz5cWigVdCE5EREQ0Xxb9ThMRERHRbGBoIiIiIqoAQxMRERFRBRiaiIiIiCrA0ERERERUAYYmIiIiogowNBERERFVgKGJiIiIqAIMTUREREQVYGgiIiIiqgBDExEREVEFGJqIiIiIKsDQRERERFQBhiYiIiKiCiya0PTwww/juuuuw6pVqyCEwP333z/t96G1xuc+9zmcccYZCIfD6OjowB133DH7iyUiIlpA+IwNmNVewGwZHh7Gueeei1tuuQW/+7u/O6P38cEPfhAPPvggPve5z2Hz5s1IJBLo7++f5ZUSEREtLHzGBoTWWld7EbNNCIFt27bhbW97W/FljuPg4x//OO6++24MDQ3h7LPPxmc/+1lcc801AIA9e/bgnHPOwfPPP48zzzyzOgsnIiKqcUv5Gbtojuemcsstt+DXv/417rvvPuzatQvveMc78KY3vQn79u0DAPzgBz/AunXr8MMf/hCnnXYaTj31VLz3ve/FwMBAlVdORERU25bKM3ZJhKYDBw7g3nvvxbe//W1ceeWVWL9+PT7ykY/giiuuwF133QUAOHjwIA4fPoxvf/vb+NrXvob//u//xlNPPYW3v/3tVV49ERFR7VpKz9hFU9M0maeffhpaa5xxxhmjXm7bNpYtWwYAUErBtm187WtfK77eV77yFVxwwQV4+eWXF/R2IhER0VxZSs/YJRGalFIwDANPPfUUDMMY9Wt1dXUAgJUrV8I0zVG/6Rs3bgQAdHZ2LpjfUCIiovm0lJ6xSyI0nX/++fB9H729vbjyyivLvs5rXvMaeJ6HAwcOYP369QCAvXv3AgBOOeWUeVsrERHRQrKUnrGL5vZcOp3G/v37AQS/gV/4whfw2te+Fi0tLVi7di3e/e5349e//jU+//nP4/zzz0d/fz9+8YtfYPPmzXjzm98MpRQuuugi1NXV4Ytf/CKUUrjtttvQ0NCABx98sMqfHRERUfXwGZunF4lf/vKXGsC4f26++WattdaO4+hPfvKT+tRTT9WWZekVK1bo66+/Xu/atav4Po4ePap/53d+R9fV1enly5fr97znPfrEiRNV+oyIiIhqA5+xgUWz00REREQ0l5ZEywEiIiKik8XQRERERFSBBR2atNZIJpPgCSMREdHs4jN2vKqGJs/z8PGPfxynnXYaotEo1q1bh7/927+FUqqit0+lUmhsbEQqlZrjlRIRES0tfMaOV9U+TZ/97GfxpS99CV/96lexadMmPPnkk7jlllvQ2NiID37wg9VcGhEREdEoVQ1Njz76KN761rfiLW95CwDg1FNPxb333osnn3yymssiIiIiGqeqx3NXXHEFfv7znxe7gj733HN45JFH8OY3v7ns69u2jWQyOeofIiIiOnl8xk6tqjtNH/3oR5FIJPCqV70KhmHA93185jOfwQ033FD29bds2YJPfepT87xKIiKixY/P2KlVtbnlfffdhz//8z/HP/7jP2LTpk149tln8aEPfQhf+MIXcPPNN497fdu2Ydt28b+TySQ6OjqQSCTQ0NAwn0snIiJaVPiMnVpVQ1NHRwf+8i//ErfddlvxZZ/+9KfxjW98Ay+99NKUb59MJtHY2MjfUCIiolnGZ+x4Va1pymQykHL0EgzDqLjlABEREdF8qWpN03XXXYfPfOYzWLt2LTZt2oRnnnkGX/jCF/CHf/iH1VwWERER0ThVPZ5LpVL4xCc+gW3btqG3txerVq3CDTfcgE9+8pMIhUJTvj23DomIiOYGn7HjVTU0nSz+hhIREc0NPmPHW9Cz54iIiIjmC0MTERERUQUYmoiIiIgqUNXbc0REREppvHAsiYGMg5ZYCJtWNUBKUe1lEY3D0ERERFWzY38/tm4/gAO9abi+hmUIrG+vw61Xr8flG1qrvTyiUXg8R0REVbFjfz9u37Ybe7qTiIdNtNeHEQ+b2NOdwu3bdmPH/v5qL5FoFIYmIiKad0ppbN1+AGnbw4qGCCKWASkFIpaBFQ1hpG0fW7cfgFILtisOLUIMTURENO9eOJbEgd40mmMhCDG6fkkIgaaYhQO9abxwLFmlFVLBvTsPV3sJNYOhiYiI5t1AxoHra4SM8o+hsCHhKo2BjDPPK6OxDvUmqr2EmsHQRERE864lFoJlCDh++QHttq9gSYGW2NQjtWhuWRWMNVsqGJqIiGjebVrVgPXtdRjMuBg7zUtrjaGMi/Xtddi0iuM7qm3s8elSxtBERETzTkqBW69ej7qwgZ6kjazrQymNrOujJ2mjLmzg1qvXs18T1RSGJiIiqorLN7Tijus3Y+PKemRsD71pGxnbw8aV9bjj+s3s00Q1h80tiYioai7f0IpL1y1jR3BaEBiaiIioqqQU2LymsdrLIJoSj+eIiIiIKsDQRERERFQBhiYiIiKiCjA0EREREVWAoYmIiIioAgxNRERERBVgaCIiIiKqAEMTERERUQUYmoiIiGhCYwcqL2UMTUREREQVYGgiIiIiqgBDExEREVEFGJqIiIiIKsDQRERERFQBhiYiIiKiCjA0EREREVWAoYmIiIioAgxNRERERBVgaCIiIiKqAEMTERERUQUYmoiIiIgqYFZ7AURENJpSGi8cS2Ig46AlFsKmVQ2QUlR7WURLHkMTEVEN2bG/H1u3H8CB3jRcX8MyBNa31+HWq9fj8g2t1V4e0ZLG4zkiohqxY38/bt+2G3u6k4iHTbTXhxEPm9jTncLt23Zjx/7+ai+RaEljaCIiqgFKaWzdfgBp28OKhggilgEpBSKWgRUNYaRtH1u3H4BSutpLpSWGf+JGMDQREdWAF44lcaA3jeZYCEKMrl8SQqApZuFAbxovHEtWaYW0VDm2Xe0l1IyqhqZTTz0VQohx/9x2223VXBYR0bwbyDhwfY2QUf7bctiQcJXGQMaZ55URUUFVC8GfeOIJ+L5f/O/nn38er3/96/GOd7yjiqsiIpp/LbEQLEPA8RUi0hj367avYEmBllioCqujpcwKhau9hJpR1dDU1tY26r///u//HuvXr8fVV19d9vVt24Zdsk2YTHKbmogWh02rGrC+vQ57ulNY0SBHHdFprTGUcbFxZT02rWqo4ippMZvoGctmFyNqpqbJcRx84xvfwB/+4R+OO88v2LJlCxobG4v/dHR0zPMqiYjmhpQCt169HnVhAz1JG1nXh1IaWddHT9JGXdjArVevZ78mmjN8xk5NaK1rojD+W9/6Fm688UZ0dnZi1apVZV+nXAru6OhAIpFAQwN/+iKihWdsI8tE1sGXHz4Y9GlSGpZknyaaHxM9Y//qmzvx6d+7uIorqx0109zyK1/5Cq699toJAxMAhMNhhMM8WyWixWGiRpZ/dNU6NEZD7AhO84rP2KnVRGg6fPgwfvazn+G73/1utZdCRDQvCo0s07aH5lgIIUPC8RX2dKfw8fufxx3Xb8bVZ7RN/Y6IaN7URE3TXXfdhfb2drzlLW+p9lKIiOYcG1nSQsI/hSOqHpqUUrjrrrtw8803wzRrYuOLiGhOsZElLSSuw+aWBVUPTT/72c/Q2dmJP/zDP6z2UoiI5gUbWdJCwj5NI6q+tfOGN7wBNXKBj4hoXrCRJS0kvIIwouo7TURES02hkeVgxh33Q2OhkeX69jo2siSqMQxNRETzjI0siRYmhiYioiq4fEMr7rh+MzaurEfG9tCbtpGxPWxcWY87rt/MRpZENajqNU1EREvV5Rtacem6ZaM6grORJVHtYmgiIqoiKQU2r2ms9jKIJsSrWiN4PEdERERUAYYmIiIiogowNBERERFVgKGJiIiIqAIMTUREREQVYGgiIiIiqgBDExEREVEFGJqIiIiIKsDQRERERFQBhiYiIiKiCjA0EREREVWAoYmIiIioAgxNRERERBVgaCIiIiKqAEMTERERUQUYmoiIiGhCWld7BbWDoYmIiIioAgxNRERERBVgaCIiIiKqAEMTERERUQUYmoiIiIgqwNBEREREVAGGJiIiIqIKMDQRERERVYChiYiIiKgCDE1EREREFWBoIiIiIqoAQxMRERFRBRiaiIiIiCrA0ERERERUAYYmIiIiogowNBERERFVgKGJiIiIJqShq72EmsHQRERERFQBhiYiIiKiClQ9NB09ehTvfve7sWzZMsRiMZx33nl46qmnqr0sIiIiolHMan7wwcFBvOY1r8FrX/ta/PjHP0Z7ezsOHDiApqamai6LiIiIaJyqhqbPfvaz6OjowF133VV82amnnlq9BRERERFNoKrHc9///vdx4YUX4h3veAfa29tx/vnn484775zw9W3bRjKZHPUPERERnTw+Y6dW1dB08OBBbN26Faeffjp+8pOf4P/+3/+LD3zgA/ja175W9vW3bNmCxsbG4j8dHR3zvGIiIqLFic/YqQmtddUaMIRCIVx44YXYsWNH8WUf+MAH8MQTT+DRRx8d9/q2bcO27eJ/J5NJdHR0IJFIoKGhYV7WTEREtBhN9Iz9y/sew5Z3XlLFldWOqtY0rVy5Emedddaol23cuBHf+c53yr5+OBxGOByej6UREREtKXzGTq2qx3Ovec1r8PLLL4962d69e3HKKadUaUVERERE5VU1NP3pn/4pHnvsMdxxxx3Yv38/7rnnHvznf/4nbrvttmoui4iIiGicqoamiy66CNu2bcO9996Ls88+G3/3d3+HL37xi7jpppuquSwiIiKicapa0wQAv/Vbv4Xf+q3fqvYyiIiIiCZV9TEqRERERAsBQxMRERFRBRiaiIiIaGJV6+ZYexiaiIiIiCrA0ERERERUAYYmIiIiogowNBERERFVgKGJiIiIqAIMTUREREQVYGgiIiIiqkDVx6gQES0USmm8cCyJgYyDllgIm1Y1QEpR7WUR0TxhaCIiqsCO/f3Yuv0ADvSm4foaliGwvr0Ot169HpdvaK328ohoHvB4johoCjv29+P2bbuxpzuJeNhEe30Y8bCJPd0p3L5tN3bs76/2EoloHjA0ERFNQimNrdsPIG17WNEQQcQyIKVAxDKwoiGMtO1j6/YDUIqzJogWO4YmIqJJvHAsiQO9aTTHQhBidP2SEAJNMQsHetN44ViySiskmluOY1d7CTWDoYmIaBIDGQeurxEyyn+7DBsSrtIYyDjzvDKi+REKhau9hJrB0ERENImWWAiWIeD4quyv276CJQVaYqF5XhkRzTeGJiKiSWxa1YD17XUYzLjQenTdktYaQxkX69vrsGlVQ5VWSETzhaGJiGgSUgrcevV61IUN9CRtZF0fSmlkXR89SRt1YQO3Xr2e/ZqIlgCGJiKiKVy+oRV3XL8ZG1fWI2N76E3byNgeNq6sxx3Xb2afJqIlgs0tiYgqcPmGVly6bhk7ghMtYQxNRFSzam1siZQCm9c0Vu3jE1F1MTQRUU3i2BIiqjWsaSKimsOxJURUixiaiGjWKaWxuyuB7Xv7sLsrMa0RIxxbQkS1isdzRDSrTvZYbTpjS1hfRDT3xvYnW8q400REs2Y2jtU4toSotjgO/64VMDQR0ayYrWM1ji0hqi2hEP+uFTA0EdGsmM6x2mQ4toSotnCnaQRDExHNitk6VuPYEqLawp2mEQxNRDQrZvNYjWNLiGrH2J3jpYy354hoVhSO1fZ0p7CiQY76Rls4Vtu4sr7iYzWOLSGiWsOdJiKaFXNxrFYYW3L1GW3YvKaRgYmIqoqhiYhmzVwcq51Mo0wiotnE4zkimlWzeazG+XNEVEsYmoho1hWO1U5GoVFm2vbQHAshZEg4vio2ymRBONH8YEfwETyeI6Kaw/lzRLWDf8tGMDQRUc2ZrUaZRHTy2NxyBEMTEdUczp8jolrE0ERENYfz54hqBzuCj2BoIqKaw/lzRLWD3dFGVDU0/c3f/A2EEKP+WbFiRTWXREQ1gPPniKgWVb3lwKZNm/Czn/2s+N+GYVRxNURUKwqNMgt9mhJKw5ICG1fWs08TEVVF1UOTaZoV7y7Ztg3btov/nUzy5gzRYsb5c0Tzh8/YqVW9pmnfvn1YtWoVTjvtNLzrXe/CwYMHJ3zdLVu2oLGxsfhPR0fHPK6UiKqB8+eI5gefsVMTuoqtPn/84x8jk8ngjDPOwPHjx/HpT38aL730El544QUsW7Zs3OuXS8EdHR1IJBJoaGBBKBER0UxN9Iz96D2P4u9vuLSKK6sdVT2eu/baa4v/f/Pmzbjsssuwfv16fPWrX8WHP/zhca8fDocRDofnc4lERERLAp+xU6v68VypeDyOzZs3Y9++fdVeChEREdEoNRWabNvGnj17sHLlymovhYiIiGiUqoamj3zkI9i+fTsOHTqEnTt34u1vfzuSySRuvvnmai6LiIiIaJyq1jR1dXXhhhtuQH9/P9ra2nDppZfisccewymnnFLNZRERERGNU9XQdN9991XzwxMREdEUqnbFvgbVVE0TERERUa1iaCIiIiKqAEMTERERUQUYmoiIiIgqUPWBvUREi51SmkOHiRYBhiYiojm0Y38/tm4/gAO9abi+hmUIrG+vw61Xr8flG1qrvTwimgYezxERzZEd+/tx+7bd2NOdRDxsor0+jHjYxJ7uFG7fths79vdXe4lENA0MTUREc0Apja3bDyBte1jREEHEMiClQMQysKIhjLTtY+v2A1CKXXCotmn+ES1iaCIimgMvHEviQG8azbEQhBhdvySEQFPMwoHeNF44lqzSCokq4zhOtZdQMxiaiIjmwEDGgetrhIzy32bDhoSrNAYyfCBRbQuFQtVeQs1gaCIimgMtsRAsQ8DxVdlft30FSwq0xPhAotomeNGziKGJiGgObFrVgPXtdRjMuNBjikK01hjKuFjfXodNqxqqtEIimi6GJiKiOSClwK1Xr0dd2EBP0kbW9aGURtb10ZO0URc2cOvV69mviWgBYZ8mokVuosaKbLg49y7f0Io7rt9c7NOUUBqWFNi4sp59mogWIIYmokVsosaKV53eiof39bPh4jy4fEMrLl23jAGVaBFgaCJapAqNFdO2h+ZYCCFDwvEVdnUN4dEDJxALGVjeECm+vNBw8Y7rNzM4zTIpBTavaaz2MojoJLGmiWgRmqixYtiS8HwNXwX/hE3JhotENCk2txzB0ES0CE3UWDHnKDi+gpm/Cp9zR67Ds+EiEZWjwdRUwNBEtAhN1FjRUwpaA1IEPz16anQPITZcJKKxXMet9hJqBkMT0SI0UWNFU0oIASgdNKwz5ehvAWy4SERjWSGr2kuoGQxNRIvQRI0VIyGJkBHUNYUMiYg18i2ADReJqBwB3vQsYGgiWoQmaqyYc4N6JkMKGFIi5yk2XCQiqhBDE9EiVWisuHFlPTK2h960jYzt4Zw1Tfjom87EuR2No16+cWU92w0QEU2CfZqIFrHJGiv+nyvWseEiEdE0MDQRLXITNVZkw0Uiounh8RwRERFRBRiaiIiIiCrA0ERERERUAdY0EdGcUEqz0JyIFhWGJiKadTv292Pr9gM40JuG62tYhsD69jrcevV6tjQgogWLx3NENKt27O/H7dt2Y093EvGwifb6MOJhE3u6U7h9227s2N9f7SUSEc0IQxMRzRqlNLZuP4C07WFFQwQRy4CUAhHLwIqGMNK2j63bD0ApTk0nWig0+Pe1gKGJiGbNC8eSONCbRnMsBCFG1y8JIdAUs3CgN40XjiWrtEIimi7Hdqq9hJrB0EREs2Yg48DNDwMuJ2xIuEpjIMNvwkQLRSgUqvYSagZDExHNmpZYCJYh4Piq7K/bvoIlBVpi/CZMtGDw0msRQxMRzZpNqxqwvr0OgxkXWo+ug9BaYyjjYn17HTataqjSComIZo6hiYhmjZQCt169HnVhAz1JG1nXh1IaWddHT9JGXdjArVevZ78mIlqQZhyavv71r+M1r3kNVq1ahcOHDwMAvvjFL+J73/verC2OiBaeyze04o7rN2PjynpkbA+9aRsZ28PGlfW44/rN7NNERAvWjJpbbt26FZ/85CfxoQ99CJ/5zGfg+z4AoKmpCV/84hfx1re+dVYXSUS1o5JO35dvaMWl65axIzgRLSozCk3/+q//ijvvvBNve9vb8Pd///fFl1944YX4yEc+MmuLI6LaMp1O31IKbF7TWKWVEhHNvhkdzx06dAjnn3/+uJeHw2EMDw/PaCFbtmyBEAIf+tCHZvT2RDS32OmbiJa6GYWm0047Dc8+++y4l//4xz/GWWedNe3398QTT+A///M/cc4558xkOUQ0x9jpm4hohsdzf/7nf47bbrsNuVwOWms8/vjjuPfee7Flyxb813/917TeVzqdxk033YQ777wTn/70pyd9Xdu2Ydt28b+TSXYVJpoP0+n0zSM5ooVpwmcsfxYqmtFO0y233IK//uu/xl/8xV8gk8ngxhtvxJe+9CX88z//M971rndN633ddttteMtb3oLf/M3fnPJ1t2zZgsbGxuI/HR0dM1k+EU0TO30TLX4TPWMdh3+vC2bccuB973sfDh8+jN7eXvT09ODIkSP4P//n/0zrfdx33314+umnsWXLlope/2Mf+xgSiUTxnyNHjsxk6UQ0Tez0TbT4TfSM5RiVETM6njt06BA8z8Ppp5+O1taRGzP79u2DZVk49dRTp3wfR44cwQc/+EE8+OCDiEQiFX3ccDiMcDg8kyUT0UkodPre053CigY56oiu0Ol748p6dvomWsAmfMayU0jRjHaa3vOe92DHjh3jXr5z50685z3vqeh9PPXUU+jt7cUFF1wA0zRhmia2b9+Of/mXf4FpmsXeT0RLjVIau7sS2L63D7u7EjVRXM1O30REM9xpeuaZZ/Ca17xm3MsvvfRS/Mmf/ElF7+N1r3sddu/ePeplt9xyC171qlfhox/9KAzDmMnSiBa06fRBmm+FTt+F9SWUhiUFNq6sr4n1ERHNtRmFJiEEUqnUuJcnEomKd4jq6+tx9tlnj3pZPB7HsmXLxr2caCko9EFK2x6aYyGEDAnHV8U+SLUwgoSdvomWHl39ze6aMaPjuSuvvBJbtmwZFZB838eWLVtwxRVXzNriiBajcsdvC6UPUiUjVIiWCtvzkXVYSrKUzGin6R/+4R9w1VVX4cwzz8SVV14JAPjVr36FZDKJX/ziFzNezEMPPTTjtyVaCCY6fnvjphU13weplo8OieaT7fkYyrgYtj20xEOIhlhOslTMaKfprLPOwq5du/B7v/d76O3tRSqVwh/8wR/gpZde4tEa0QQmG0Pyr7/Yh2Hbr9k+SByhQhSEpePJHI4OZjFse9Vezrxhn6YRM9ppAoBVq1bhjjvumM21EC1aY4/fCrtJEWlgRYNE11AWWdeH7fmIhsb/taxmH6Sp1t6TtLF1+wFcum4Zj+poUcq5wc5Sxlk6QamUZVnVXkLNqDg07dq1C2effTaklNi1a9ekr8sZckSjjR1DoqGRcxQ8pWBKidZ4CEecLPrTDtY0GzXVB4kjVGipqiQs+Uoj6/iL+ojOdd1qL6FmVByazjvvPPT09KC9vR3nnXde8I2/TEm9EII9lojGKB1DkrY99KVs2J4PrQEhgJAhYRoCYTPYuWmKWQgbEravMJRxq9oHqZIRKgmOUKFFpJKw5PoKP33xOL755BH81jmr8NE3vWoeV0jVUnFoOnToENra2or/n4gqVxhDMpR10ZeyobSGIQWEDK7z5lwfEALvvHAl9vWma6oPUukIlYgc/9M0R6jQYlFJWMq5Pn60uxvffKILfelguO3XHz2M/3v1ejRGF+cxFseojKg4NJ1yyikAgm26v/mbv8EnPvEJrFu3bs4WRlTLpnv1ftOqBqxrq8POQyfg+xqmMfK6Iv8/UgB7j6fw3++5GHt6UjVzrZ8jVGixy7k+BjPOpO0D0raH7z97DP/zVBeGsqOPqzKOh0cPnMCbzl4x10ulKpt2IbhlWdi2bRs+8YlPzMV6iGrO2ICUyDr48sMHp3X1XkqB05fX4ZH8LTPH1wCC420JwDQkWutDONg3jD09qZqqDSqMULl92+6aOzokOhmVhKWhjIPvPH0U9z97FMP26NczpcB1567CB193Ok5tjc/1cqkGzOj23PXXX4/7778fH/7wh2d7PUQ1ZWxvIqUVhh0fYVOivT5ScdfuHfv78aNd3WU/hgIQDxtojobQm7ZrsjaII1RoMakkLPWlbHzrySP4313dyHlq1K+FTYnfOmclfu/CDpy5oh5Ni/xomi0HRswoNG3YsAF/93d/hx07duCCCy5APD46YX/gAx+YlcURVdPYsSaWFHjlRAa2q+D7GsNhD64hYUqJ5Q0hHE86Za/ej1zZn/gGylDGRTRk1HRtEEeo0EJXSVg6OpjFfU8cwU9e6IE3pgN/PGzgbeetxu++evWiD0qlWNM0Ykah6b/+67/Q1NSEp556Ck899dSoXxNCMDTRgleuN1HW8eEqBUMKeEqjeygXFHMLIGwaaIyWv3r/wrEk9h9PofT7ryj+T1AIrgH0Jm1cuq6lpmuDpBQ1dXRIVIlKwtKh/mHcs7MTv3y5F2OnFTVFLbz9gjX47fNWoS484/aGtAjM6He/9PZcoe3A2P4tRAtZaW8iAMg6PlI5F76vUbpRL6WAQPBN2XZ9xMLmuOO1gYyDrKvg5QvAfV9DAxD5b8wCQWhSWuNNZ6/kzg3RLMk6Poayk4elPd1J3LOzE78+cGLcr7XVhfHOi9bgzZtXImIt3j5MU+Hx3IgZR+avfOUr+Kd/+ifs27cPAHD66afjQx/6EN773vfO2uKIqqXQm8jxFLoTWdieglKAGvuKOh+cDMD1FHKuj6Yx145bYiFIEbytJQSkKeD5qrjDVBALmehoic3xZ0a0+GWdYGcp55YPS1prPHtkCPfs7MRTnUPjfn11UxQ3XNyB15+1HNYE/ckAIGwZSyJMlevJuFTNKDR94hOfwD/90z/h/e9/Py677DIAwKOPPoo//dM/xSuvvIJPf/rTs7pIovnWEgtBaYVjCQdKB7dkhNQY27e1uMGa/55S7nvLplUNWLssjl1dQ1AADCEhTRmEJh10FA6ZAg0Rs2brmYgWgkrC0s5DA/jGY514sTs57tfXtcZx4yVrcfUZbTAm2fGNhUw0xawlEZgAniSVmlFo2rp1K+68807ccMMNxZf99m//Ns455xy8//3vZ2iiBW/jinr4GvD8INBIIeBrYPTeEKC1goKEp4JmldGQMa6Hi5QCH3nDGXjv156E7SrAUMUjOKU1pABCpsT69rqarmciqlVThSVfafxqXx/u3tmJA33D4379rJX1uPGStbhs3bIJA4IQAvGwgaZoCCFzRrPuFyzOnhsxo9Dk+z4uvPDCcS+/4IIL4HlLc6AhLS57elIwhIAhBXwFQOpi4XYpXwFSakQtiYaoBWiU3S264vQ2/Nnrz8Dnf7oXjqcglIYQgGUYCJkCzbEQex0RTdNUYcn1FX724nHc+8QRdA1mx/36q9c24aZL1uK8jqYJw5IUAvURE41RC+YkR3WLmcPZc0UzCk3vfve7sXXrVnzhC18Y9fL//M//xE033TQrCyOqpoGMAykEVjdHcSLtjMyJy/+6KQEFgdZ4CPURC2FT4HjKmbQz9vuuWo+NKxvwuQf34shABkprRC1jysaYRDRaxvEwmHFhTxCWglEnPfjWk0fQm7LH/frl65fhpkvWYuPKiXd2TSnREDXRELGW/A8zIe40FZ1UIfiDDz6ISy+9FADw2GOP4ciRI/iDP/iDUU0vxwYrooWgMG8tZEic2hpDzlHwlILjK/SnbPj5naJ42AQEcDzlVNQZ+4rT23D5+lb2OiKaganC0rDt4XsTjDqRArjmzHbceHEH1rXVTfgxLEOiMWahPmyylqeAX4eiGYWm559/Hq9+9asBAAcOHAAAtLW1oa2tDc8//3zx9fgHjhaq0fPWwoiGDABB0WfIkDg6lIWAQDLnImTIijpjjx3HcuWGVoYlogpMFZYSGRffeaYL254pP+rkDZuW410XdWBN88S3UyNW0Gstzj5MNIkZ/en45S9/OdvrIJp10x2qO9YbN63A3uMpdA1l0VoXQtgwYPsKadvH6qYo3nvlOnS0xMa973If97GDJ0aNY6lkXh3RUjdVWOpL2fj2U0fww+fKjzp5yzkr8XsXrEF7Q2TCjxEPB/VKS+UmHJ0cRmpalMbOjJtOSCl925yjkHV9HHGyiFgG4iFj0l2lch93WV0IvfkjveZYqOJ5dURL1VRh6ehQFt/Mjzpx/TGjTkIG3nreKvzuBWuKzWnHEkKgLh+WltpNODo5DE206IydGTedkDL2bZtjIdiej/60g7Ap8cev3YAbL15bdseq3Me1fR8v9aTgK421LbHiT7MRaWBFg0RP0i47r45oKRq2PQxlJw5Lh/qHce/jnfjFS+NHnTRGLbz9gtV467mrURcp/2iTQqAhaqEhYi7Zm3AzwuaWRQxNtKiUmxkHVBZSJnrbaMjEmmYDPUkbP3mhBzdevLbij6vd4NeggePJHOIhA1IG36yFEGiKlZ9XR7SUDNseBjMOHG9cz30AwEs9Sdy9sxO/3j9+1ElrXQjvvKgDb5lk1IkpJRqjFuojJn84mQG2HBjB0ESLSunMuLEXEaYKKbP9tmnbQ3cii8LpQdZVONifwYrGSHHoZ9iQSCg9bl4d0VIwWVjSWuO5rgTu3tmJpw4Pjvv1VU0R3HDRWrz+rOUTHrGFzCAs1fEm3MnhTlMRQxMtKoWZcZYUyDo+PKVgSomIJSGEmDSkFN42NMG2/XTeNm17ODqYha9GPwxsz8fRwSxWN0dRFzZh+wqWFCc9PuVki96rpZJ1L9TPjSY2VVjaeWgAd+/sxAvHxo86Oa01jhsvXotrzpx41Ek0FNyEi4X4iKPZxT9RtKgUZsa9ciIDVwVDcYUIbtK01UdgSDFhSCn0ZnJ8hYgcv80/WcApfduwkOhL5eBrDdMQ0L6GyjfGNKWArzX6UjnErBiGMu6kDTErcTJF79VUyboX6udG5aVtD0MThKWpRp28akU9brpkLS5bvwxygl2jurCJBt6Em3VWiDMxCxiaaFFJZB0MOz5sV8EyBQwhoBEcjR0dzCBimTi3o7FsSBndm0mO2s7XWk8acErftjFiwvYUTBnMrDOlhuMHDwkhBAyhkXMVjg7l0BSzTmp8yskUvU9kPnZ2Klk3gFn/3Kg6JgtLnq/wsz29uPfxThwpM+rk/LVNuOnitTh/bflRJ6JkzInF4u454bKmqYihiRYNpTS+/PBBhE0J39dQChAy2GkyBOD6GlL6+KOr1pUNAVIK3Hr1ety+bTd6kjaaYhbChoTtKwxl3Ek7fpe+bV/agdKAFMEOk9IaphSwDAFPaSiloQGsaY7i9jdvnPGD/2SK3icyHzs7laz7Px46AEDP6udG8y9texgcduD648OS7fr48fM9uO+J8qNOLl3XgndfcgrOmmAX1pACDRELDVFrwmM6mh0c2DuCoYkWjUIxdnt9BF5coy9lBzPjVBCcIpaBWMhAY3TirebLN7Tijus3F4NDQgX1UZV0/C687T/85GXs7hqC5wNSBh+3rT6MeNhAzlHIOB5cX+Mz12/GuR1NJ/35zqRwvZy52LWa6bpf7klBQ8/a50bza7KwNGx7+MFzx/Dtp7owmBm9gyEAXH1GG266ZC3Wt5cfdWIZstg2gMXd84M7TSMYmmjRKC3GjliiGFIKxeAhU6Av7Ux5U+3yDa24dN2yGR1RXb6hFf9zagve/uVHcagvjda6MKJhAyI/6jdiSQxlNTaurMfm1Sf3sD+ZwvWx5mLX6mTW7fgK0JiVz43mz2RhKZF18d2nu7DtmWNI296oXzOlwOvPCkaddLSUH3USMiWaYqHizVOaR7w9V8Q/fbRojC3kFhCjZsZlXX9cIfdE9TtSCmxe01j89V/t7684PJmmxF+88Uzcvm03EjkPQoqKj/lm+vmGpRwVECMhOa2beVPt/jRGTezpTuLrjx7GeWubAABDWXdGNU+VFNyHDAkNPaOifJp/qZyLoYxbNiz1p218+8ku/GDXMeTcMqNONq/E71048aiTaMhAUzSU/7tMVF0MTbRoTFbIrbRCf9rG6qYolA7qiqaaB3cy9T0nc8w33c93V9cQPD8IGIXbgiFDwjQEzlnTVNHNvMl2f9K2h95kDlnXxz/85CV4SkNrIGoZiIeNadc8VVJw/6oV9QA0XupJT7son+bPZGHpWH7UyQMzHHVSFzbRGLMQNhmWqo2350YwNNGiMVEh91DWRW8qB6WBroEsbv3GU1POg7vpkrW4e2fnSdX3nMwxX6Wf71Wnt+LRAyfgq6C9gSEBpYGM48PI/3olH2+i3Z+x/aZszy/u1GddjbqIMe2ap0oK7v/4mvUAMKOifJp7k4WlV04M456d5UedNERM/O4Fa3D9eeVHnfAmHNU6hiZaVMbu8PQ5PtK2BymAFQ1hNEVDU86D607k8O8PHYApxUnX9xSO+eaCUhoP7+tHLGTAV8FOk58veo+FDBhS4uF9/fg/V5S/LViq3O6PzveT8rWCBopfB8sUgAZcpZHIujilJYbjKWdaNU+V7sTN9W4dVU5rnW8dUD4s7T2ewjce68Qj+/vH/dqyuhDeeWEH3nLOSkTL9FDiTbjaNjb8LmUMTbToFHZ4dh9N4K+27UbXYAarm6LFmW/wgkAAAD3JHAwhisXaQgR1UN1DWaxqitb0za1CHdLyhgjCpkTOVaM6oOc8VfE6y+3+KBX0k4IOHmoq/28BAQjAlIDtKdientHXpJKduLneraOpTRWWnusawj07O/HEK+NHnaxsjOCGizvwhrNWlB11wptwC4Pj8MJFAUMTLTiVNF+U+caSA8MO2uojI4EJQNp2kb+chZyrcHhgGBHLRFt9GHVhE4YQUAh2bMopvblVzREfpXVIhbBXKHofu85KjN39GXZ8KK0RtSQilomhjAsNQEMjH52gNeAphXjInNFttkp24uZyt44mprVGyvaQKBOWtNZ4/JUB3LOzE7uPjh91cuqyGG66ZC2uObO97M5R2DKKM+Go9mnenivin1haUHbs78d/PHQAL/ek4ORvWZ25oh5/fE1wXFMaYg71D8PxFJpjpYHJw4lhB6XfAjSArOOha9DHmuYofK0hMfEt28LNrSMDGdx81+NVG/FxMmNfJlK6s/NU5yD+6ad74XgKiawLX2v4noYUgGlICATB0pTTu6lHtW2ysOQrjUf29+PunZ3Y35se97ZnrqjHuycZdRILBfVKvAm3sDAzjWBoogVjx/5+/Om3nsXAsAOtdfGm2M5DDvb1pvDeK07Dw/v6iyEGAJI5D2HLQUs8DI2g4WXQrXvknL7wXPB9jcMnMqgLG6iPWsi6Phq1Lntza2VjGHc+fADDjl+1ER8nM/ZlMoWdnUTWge3lR9IYovg1UxpwPAVDBNfBw6bA8ZTD22wL3GRhyfMVfv5SL+59/Ag6BzLj3va8jkbcePFaXHBKc9kj7Xg42FniTbiFyWRH8CKGJloQlNLY8uM96EvZweBbQ0KI/PGQr9CbtPGPP3kZDVGrGGJs38dQ1kF3IgfLkMGOiOfDlAKeX/5HJ6WBYUfhXReuwq8PnJjw5hYADDt+VUd8nMzYl6kURtKEDAmlNHwdfDxV8nVTGqiPWDiecnibbQGbLCzZro8HXghGnRxPlh91cuPFa3F2mUatsuQmnMmbcAua47KmqYChiRaE3UcT2Hs8DQHAMmWxw7YQgGkI2J6G42s0RMzibbioNLG6KYrOgQyODmXRGg9BKQ1hAIVnf+ERXxqhwoZE52AWn37b2fjywwfH3dx646YV+I9f7q+JER9z1Q+qtMjcU8EtOttTQb2X1sWvl+srbFzZwNtsC5DWGslcEJY8NTosZRwP33+uG99+8kjZUSfXnNmGGy5eiw1lRp2YUqIhaqIhYjFELxI8nhvB0EQLwrOdQ3B9BbNwe2sUgULsybkK8fDIr9RHLKxsjKI/bSPrKigNaC94XVMEt8E0gl0TDQ1ooDkehJ7GaAhfveVi7D6awLOdQ9ACOL+jKT8mIijA1lqPu7U2tgB7rovFT+aG2URrGzeSJhQvfp6GFFBKYyDj4v2vPR2/f9kpfDguIJOFpWTWxXefOYptzxxFKjd61IkhBd4wyagTy5BojFmoD/MmHC1eVQ1NW7duxdatW/HKK68AADZt2oRPfvKTuPbaa6u5LKpBuvA9uMz34tKfgsr9QNQUteB4CtduXoHvPNWFjOMDADwd1DGVvp0AMJRxYRoSAxmnbNfw9oYIlNYYyjpIZF3Y3kgn7rAZXKEuFEWfTFfx6ZjJDbPJ1jZuJI0YP5ImHjLw6lOaywamat4qpPImC0sn0ja+/VQXvv/c+FEnoZJRJ8vLjDqJ5G/CxXkTbtEyTNY0FVT1T/maNWvw93//99iwYQMA4Ktf/Sre+ta34plnnsGmTZuquTSqMed3NMGUEp6nAEMBEBCikKFGolKszK0c21fwlcKPdncDCIrAC8dzY0OWYQjkXB/wFB56uRe/fKkXadvL9y0Ccq6PQ/1pZBwfgxldvD0mRP4Wnusj4/jYtKoBiayDj9///El1FZ+O6QSVHfv7cfu23ROu7dNvO3vGRebzFRSpMpOFpe5EFvc9cQQPPD9+1EksP+rk7ROMOomHg3qlSJlmlUSLVVVD03XXXTfqvz/zmc9g69ateOyxxxiaaJTNqxuxujmCQ/0ZOH7QLQgYvfFkSCBijS441VrjeCKYm6a0LjnIG8+QwbR1VwXX6rc9fRSGDI74ehJ2cYSI1roYuoqPi8I7LoQxDXxp+wGkbW9eisWnE1SU0tg6xdq+/PBB/NFV6/Dx+5+fVpH5VGFsPm4VUkBrjWTWQyI7Piy9cmIY9z5+BD/fc3zCUSdvO28V6iOjdxiEEMFMuKhVtlklLU6aLcGLamY/1fd9fPvb38bw8DAuu+yysq9j2zZse+QGRzI5vqkaLU6PHTyBjOOPCz2F/18XNhAPmziedEY94HuTNjKOB4UgEAEY9xN1ga8Ana/ZaYpZGEgHrQqODeWgtA66Ycvg9QrHeqYhg8Lo/PiSaL4PzfGkjZ5kbl6KxacbVApF3lOtrTEamlaReSVhbD5uFS51k4WlvcdTuHtnJx7Z1z/uh4dldSH83oUd+K3NK8f1UZJCFDt38ybc4jXRM9bxvIneZMmpemjavXs3LrvsMuRyOdTV1WHbtm0466yzyr7uli1b8KlPfWqeV0jVpJTG7qMJfOZHe2C7Cqcsi6I/7SDnqnwtk4aUAqe1xvHRN71q1G03UwBSAmFLwvGChpXuFD8xKQCWHNk4SuZcKB0Mwy3e2ANQiGtaA611YQig+KBxfYWs60MCCE3wgJlut+7Jvj7TDSqlRd5Tre3qM9oqLjKvNIxVe/zMYjVZWNrVNYS7ZzDqxJQSjVEL9RGTQXcJmOgZy47gI6oems4880w8++yzGBoawne+8x3cfPPN2L59e9ng9LGPfQwf/vCHi/+dTCbR0dExn8uleVQ4ctrTncTAsAMpAE9ptNWHYQhZvLEGoXEi7RRvuxUe8ANpB//4k5dQHzbRk8xBYaRofLJjOtvT6E87xR5QQffrkQdGaR5w8rtZo84J81fypRAYzDiIhcxRt+uEEJN20PY8hR/s6sbRoQxWN8Vw3TkrYU5wFDKToDLdTuKVFplPJ4xVy2IsUC+EpaGsA7/khwKtNZ54ZRB37zxcdtTJKflRJ68tM+rEMiSaYsGYE96EWzomesaGWAheVPXQFAqFioXgF154IZ544gn88z//M7785S+Pe91wOIxwODzu5bT4lB45hQwJKYKO1DnXx9HBHFY3R4v1FkppJJSHgYwz6gG/fW8fXF+jKWph0JTIOP5IUJosNQHFruG+BkxolKYif8xP8UIE4yUK707mb9HZnsKxRA6GRH4YcPDy1row0rZftpD6zocP4N8fOoBU1oUCIAF86ocv4LZr1uN9V60ft86ZBJW56iQ+F2NdZtNiK1CfKCwprfHIvmDUyb5yo06W1+OmS9bi8g3jR51ELANNMQuxUNUfDVQFEz1jPZ/HcwU19zdDaz3qTJWWnrFHTjlXQQgbQgiYEvD8YBxKPGxAYOJdm8JD3FUabfURHBnIQBW2mircbZYIPp5pBEXkChremEHv3pgjP62BxqiFvlTw59hXgCWDcSxZx0fnQAZt9eFxhdR3PnwAn33gZfgqOA4082NLEhkXn33gZQAYF5xmElTmqpP4XIWx2bCYCtSV0kjm3GAeYMmfPc9X+MVLvbhnglEn565pxE2XlB91wptwNCluNhZVNTTdfvvtuPbaa9HR0YFUKoX77rsPDz30EB544IFqLouqbOyRU8SSCJsSWTcIAIYUsD0fOUchYskJH8ajH+JhrGmO4shABr6ePDMJBDfplAaWN4bRn3aCYu+Soz1RMrtu7NtKASSyXhDySnahCsXiUgi014dx6bplxbfzPIV/f+gAfKURMgWkCHaOpACkUHA8jX9/6ABuufy0UUd1Mw0qc9FJfC7HupyMxVKgPlFYcjyFHz/fg28+cQQ9ydy4t7vktBbcdMn4USe8CUcVY0lTUVVD0/Hjx/H7v//76O7uRmNjI8455xw88MADeP3rX1/NZVGVjT1yEkKgrT6Co4NZuEoHgUZpZBwPQ1k94cO43EN8TVMUXYncqIdOKUMG9RxKayhf4w1nrcBDL/cikfUQDRlBC4OkXQxMhfl3BYWuA06xe3mgrT6MsClH1WCV1hn9YFc3UlkXpjESmIqfh5AwDYVU1sUPdnXj+levnvRzrDSonEwn8YnM1ViXk7HQC9QnCksZx8MPnuvGt5/qwsDw6DoxAeDqM9pw4yXjR50YUqA+YqExao2rZSIqh2VtI6oamr7yla9U88NTjSp35FQXNrG6OYq+VC64OYegdcBUD+OxD3FXaTRFTTieQsr2x72+UoCtVLFp5e+8eg3euGlF8e2z7khdlGUISCHgeKpY9VQYyWKIkUAlBBAPmcXbdaU1WAVHhzJBW4QJvjlJAfj515vqc5xOUJlJJ/GpzEUYOxkLoUC9nInCUjLrYtszR/HdCUad/ObGdtxw8VqsHTPqhDfhaKb4p2VEzdU0EU105FQXNhGzYjg6lMOa5ig+c/1mbF7dOOUDoNxD/Mz2OlzzhYdwbGj0cUbh0aQ1sLo5Unz/hbd/6pUBfObHe+CroG8T9Eg4Kh3FIhA89HwNRC05qulmuTqj1U0xSIwUoI+ldPA+VzeNn/k10edYzaAyF2Fspmq9QH2sicLSibSN/3mqC99/rhtZd3TgtwyBN29eiXde1IEVY0adhMwgLPEmHM0UT+dGMDRRzZnqyKkpZuH2N2/EuR1No95usuvkpQ/xQu+niXYegCCg1JXM0iq8/UC+hUDG9uD5QXAypIAa0zBTSsD1ghtabfUjdTQT1Rldd85KfOqHLyCRcSGFGnVEp7SC52s0xixcd87KSb9um9c0Fr8Ov9rfX/XwVAtquUC9lFIaiayLZG50WOpJ5HDfE0fw4+e7xzVmjVojo05a4qNDXzQUzITjTTg6WabBP0MF/EpQTarkyKk0JB0ZyOCB57txsG940uvkhWvnL3WncGLYhiFE0Lgt/xwN2gUYaIqFxtUdAcGuRTxkoC5s5of1BqNVDIn8j2MCGhpRy4QUPkKGEYQqpSetMzJNiduuWY/PPvAyHE/DNBRkvti8EM5uu2b9hP2axn5+hWv1pgSWN0bxxk3LccWGtiUZoGq1QL1gorDUeSKDex7vxM8mGHXyO69ejevPXz1u1Eld2ERjzELY5E04mh3caRrB0EQ1q/TIqX/YxtCwi+aYhfqIhUf29RW7fw87PtK2BymA9vow2uvD+evkSfzZt5/DH1x2Kq7Y0IpE1sFfbduNRNYN+tNoQBo6OBKDQEtdCPVhC5GQhFZAb9oeV+dSumtxyrIobFcXG1eGTODYkF08OkxkHXzhp/vQeWIYCkDUlJPWGRXaCRT6NPkIslxjzJqwT1OpsdfqHU+hL2XjeGoIu7uG8F+/OoSzVjXUdF+iuWo+WYsF6oWwlMi6I60wEIw6uWdnJ35VbtRJPIS3X7AGv33uqlGjToQQqI8EN+EsjjmhWea47NNUwNBENU1KgVTOxf975FBx90RphWHHR9iUaKsPI5F1Aa2hAPSlHITyP2FnHR8nHAeff/Al/Od2E1lPwfFUfucnGJmi/WAmnQIwbHtoqwtDQCDn+2XrXEp3LQpz7uIhM5hzlxo5Ohy2Pdz5q0PoTeagARhCYHljFH901bpJH9Dvu2o9brn8tIo7gheMvVY/7PjoTuTg50fA+L5GxvGxpztZs32J5rr5ZK3UfflKI1kmLO3uSuDunYfxeJlRJysaInjXxR1406bRo04MKdAQsdDAm3A0hySDeBFDE9W0sbsnlhR45UQGtquCIBD2g+v9hoRAMFuuO5GF72v4+QeSp4ChrDfyU7sOHsjKC7adPaVhSgHbU8i5k/d+AqbetQAwas3NsRAcX6FrMIuP3//8lIHFNOWotgKVKL1WDwB9qSAwWVJACAFhBDtijZEIEjmv5voSzVfzyWoWqPuFY7iSsKS1xpOHB/GNxzqx+2hi3Nuc0hLDDZesxeteNXrUiWXI4gBdFnfTXHPd8TeNlyqGJqpZ5ZoSZh0frlKwzGC3aGA4mBEn8qNKDKlhuyMtu/WYfwfvF1ACsExZbBfgqaDj91DWgZNSCJkSl+V3JcrtRky0awEAN9/1+Lw3Uiy9Vp9zFWwv3ycq//GFCJpr+lrXXF+ixdJ8ciLlwpLSGr/efwL37OzEy8dT497mjOV1uOmSU/CaMaNOwpZRvAlHNF9Kd0SXOv7No5pVrimhp1RQeC0ERH6kCjDSDwlTdPsu8HyNsCkQMiXcfHDSAE6kgxomIYB/+tlefOWRgzhrVWPZI6Jyuxa7uxIVNVLcfTQBKcSsHROVXqsvfI1KP3zhv00pa64v0UJvPjmRcmHJVxo/f6kX9+7sxOEyo07OyY86uXDMqJNYKKhXKq1jIpovjEwjGJqoKiop+C3XlNCUEvka7mIoMA0Bz9cQxgSjTcZ07QZGOncbQkBLwFUjI1A0gloRpTWSOQ/PHUlUfERUWLNlBLtihSLxSEhCQCBsSPQ5Pv5q224MDDuzVrtTWqDeGDFHvkYANDR8pRGxDERCwU5ULfUlWqjNJydSLiw5nsIDLwSjTroT40edXHxaC266eO2oUCiEQDwc7CzxJhxVk+ZOUxFDE82L8e0BenCwb/KC33JNCUvn0BW6brfEQ+hPOcUdo1ICQaG35+txvxbMk9MonOZZhoDSwb8FRLE/kuP5GBzW+I+H9k95RNQSC0FpjUP9mVE7PmHTQFt9GI6nkLY9dA1mUB+xYBoCWuOkC7RLC9SHsi5MKeH4Pgwh8g0zBdrqw4BGzfQlKlhozScnUi4sZR0fP9h1DN9+sgsnyow6ufKMVtx48Vqcsby++HJZchPOZAEu1QBmphEMTTTnSm9FDds+0k6hPUAE7fWhCQt+yzUlHJlDl4HrB7snTVELAgK9qVy+fYAudtC2TBmMIFF63F/80pdZ+fBiyCAw+VrD84P343sKrq/w+KFB3PN4J9596SkTfq6JrINhx4PtKliGgJF/vznXR9dA0HoACHYeepK5YqgKGRKur06qdqe0QP3FYwnYGR+e1gibBtobwjCkQE/SrnpforEWSvPJifhKYyjjIJXzimEplcuPOnn6KJJjRp1IAbz+rOV410UdOGVZvPhyQ4r8mBPehKPawp2mEQxNNKdKb0U1Ra2R9gAa6EvZCJkSdWGzbMHvRE0JDSkQsUxI6SMWMtCXdmBJgUtOW4Y3nb0CiYyNL/58f9CeQClIKUd17S6MOSkdfQI9MjPO13rcrpUQgOsr/Osv9mFda7zsbpBSGl9++CBChsyPUNHQCsVRK54ffDwpACffsFLIYB22p2B7wIvHkidVu1NaoP7I/n785IUe9CZzyDg+LKmq2pdoIrXefHIi5cLSwLCTH3VyDBmnzKiTs/OjThojJS+XaIxZqOeYE6pRmtPnihiaaM6MvRWVc9VIewARFGP3pWzEw0bZgl/PUzietHHRqS14rmsIqayLhAYsKXBuRyP+6Kp1aIyGRtVFPXbwBLZu70HUMuD6HjwVFI9LETy0fD/o56QRHNuZUsD1Ffx8kJMqvwOFkQG8AkF9iSE1bG9kNwjAqLospTUO9KaxvCGCVM5DXyoHt6TIqvBtR2vANIMdLSAIVMIAXE8hmXNxIm2f1Ne9UKC+eU3wNTqZvkRz1WxyrFpsPjmRQlhK5rziT+A9yRy++cQR/Pj5HjieGvX6UcvAb5+7Eu+4sGPUqJNwfpc0zptwVOOkwZq6Av5tpTkz9lZUaY1P0B4AsD0fOUchGjJGFfze+fCBYmdshSBwxEMm3nLOCtx0yallH96lu1rLGyJojvnoSdpwPAWlAa1G6prCpsSyuhCaoxYOD2SCAagaxdlehcAEBOtVSiMaMtFaF8KB3jTuebwTP3mhZ1QjxpZ4CMOOD8uUGMjXrxSO/bySj62BYkuAwnGgQLCzppTGYMadtd+Dk+lLNNfNJseqleaTE/F8lR93MhKWOk9kcO8TnfjZnt5RI1AAoD5i4nfOD0adNERHRp3EQiaaYhYiFh9EtDB4HjuCFzA00ZwZeyuqUKfhKQ1DBsHEVxoDGRthx4AhAVMA21/uxdcePQxfBd2szfwMtrTt4X+eOor1bXXYtKoBu7sSxYfrxhX143r9RKxgB+vIiQx8AAaCLuBSBh+3P+XkC7QjODqYhRaqePtu7Am+IYPu42HDQJ/j4F9/vg++1qMaMXYNZpG2PeRcLygoN2V+dpzCWDof0AqNNYPjQQ0pBZri1rjXn2/z1WxyrGo2n5xIubC073gKdz/eiV/tHT/qpCUewjsuWIPrzl1ZHJZbuAnXFA2N6uhNtBCwT9MIhiaaM6N6B7kavclc8ejLK/mpfGDYBRDsrsRDBr75RCd8pREyBaQIHjBSAFIoOJ7GP/98Hx56uQ+H+keG87Y3RHBkIIOW+EivHw2NnmQOhcoSrxCIFGDIkbqqU1tjWN0cLdb+lH57MCQQtUy01YdRFzaRdT3kXB8CGmuaY6MaMa5uiuDl42nYnkbICAYBu974W3uldMnuFgBIDRwdzJ7EV3206R6vKaWx+2gCd/xoD4YyDlY3RSFl8HuwWJpNVqpcWHr+aALf2NmJxw8NjHv9FQ0RvPOiDlx79sioE96Eo0WBmamIoYnmTOFW1K6uIWRsv1hH5KqJ/wYO54tnDYliYCqQQsKQPtK2j+e6EljZGCnugBzsG8aw7aIuYhaPPU6kHeTcMrs8CEarSKGRc31kHR91YROyMYJE1kXYkDgx7CAekrBMA/GwiWjIgNYa/emgA3lrXRgARvdisiQaoiYGht1ii4PpfK8R+f+58+EDExabT8fY4zVTAssbo3jjpuW4YkPbuABVeP2XulM4MWxDCoHDAxm01UeKHagXcrPJSnm+wlDWRSoflgqjTu7e2YldXeNHnaxtieHGizvwG69qLwYjU8r8TThzUQdLWhq40zSCoYnmjJQCf3TVOrz3a0/CUxqWmS99Hp9jIPPdql0/uLWmFKClHn39HBqFk66YJYvhKCINtNWFkLZd9CZt1EdMpHMejifHNxEspfJHYkeHsljREMFgxoEQArbrIucp5DwFwIMUNsKmgZAZHPlpFewO9SSHYXulvZgk6sIWALfcpzglQwqsbooibfsnvZMz9njN8RT6UjaOp4awu2sI//WrQzhrVUOxPqn09UP5OX5SAllX4ehgFqubo8XgtNCaTVZqbFiaatTJ6e11uOmStbji9NbiqBPLkGiKBWNOeBOOFgtGphEMTTSnGqMhxEMGJARcpeCP+dtXKLi2DAkpBJQWxaLpws21gtIWAaExHZKjIQNh04Dt+TiRttGXcsp2By/HdhUOn8gU+yV5So3cdEMQrnKuDw2J33n1Gnz/2aM4lshCaeTnuwWvl3UVsk6u+LaGDHa0KiEALKsL5RteypPayRl7a3HY8dGdCAb4mvkbhBnHLzbU/PTbzsaXHz446pajzBeoWzIYgtyXyiEeigehco6bTc7Xjb2CsWHJVxq/eKkX9zzeicMnxo862by6ATddcgouOnVk1EnEMtAUs4o1TESLSaXfS5cC/g2nkzbZQ24g40AKiVOXReD4Gqmci76UPW4nRucTkilFsd7JK2lPAA34+W0mAaAhOubmkQCaohaOp3wcT9rT+ksuEGx+aY387tLIzhcQFGuHTQnLENh58ARsL+gUHtRcieL7MKWG7QX/v1D0LsT4pppjP7ZpBK9bHw4KwEt3cmYSIF44lsT+4ylELQOpnIvelANfK1gy3yDU0PCUQmMkgkTOw+ce3IvjiWzxlmMkJBE2DeRcPyjElwK2p5BzFSKWnNNmk/N5Y29sWHI8hQdf7MG9j08w6uTUZtx4yVqcs6ap+LJ4OKhX4k04WszY3HIEQxOdlKkeck1RCxoaQ1kXsZCJurCJvrRd3DIq/FV0fAVTl170B/x8N+6xhAA6B7LFWpu07aEvZSPjeNP+iahc/BAIfrJyfRV0FJcIekx5wJ7uVHHdnq9hGro4285XI7PrWutDSOd8ZF0f/iTfcIKjSI1oyEDECuphCjs5RwYyuPmux6cdIB7Z34/+Yad4I8/Pd0dXMrhBKERQDO9rjaaYhSMDGfhKoyUu859/MHLl6GAWnq+Dz0kDw46Hoayes2aT83Vjz/MVBjMu0nYQlrKujx8+dwzfeqqrOLC5QAC48vRW3HjJyKgTIQTq8mGJN+FoKWBkGsHQRDM21UPupkvWYvvefqRyXhCK8n2JJgo23hSJp7Aro1TwoDs6mEVLPJQffDt+7lylxr2dAET+KND1VXGnKOgvlX8bHYQ67at880sgYpmoi5joTeYgIXBqaww5RyFtuziRdiYsgPd10INKCFEcG7KyMYw7f3UQw9MMEDv29+Nrj74CXwUdx2V+JIxG0DwTpiyu15QSYUMGrQ4ERs1+qwubWN0cRV/KLrZQcH2FjSsb5mTXZ+yRYumtxNm6sefmO4wXwlIq5+L+Z47hO093lR118rqNy3HDxR04NT/qxJAC9RELjVGOOaGlhRtNIxiaaEamesh1DmTx+Z/uRV3YRGtdGL3JHJTSo67XT8UAUDqIImxJrGyM4OhgDr5S8LVCbyo3qtbJlCgWi1fykXSZj1MophJ69DcLIcSouXaFeidDCliGRGt9CIYQMKVExvXRooNaq0hIIm378GxvwjX1pW1IKeD6GvFQsHsxPM0AUfg9cX2FqGXA9hSkBIRCsUbM8xWEEIhawbpybvC67Q0RdA1mR81+qwubiIUkjg7lsLopijuu34zNqxvnpL5obCPUUid7Y29sWJpq1Mm1Z6/EOy9ag5WN0fzLJBoivAlHSxcz0wiGJpqRyR5yQPCgcjyFxkYLsbCJkCnRk8gFnbcrNPZgznYVpBDFHZBs/jiucEBiymBArtJqVLCZytgVjS1AB4KP4aug/5I9pveSgIbj+Tg2mEXEMnHmijokc15xjppSGjk3GFIcvEGwoxQMEh4JX8eTOWxa1YB3XNiBf/n5PoQMWawjKnyNJwsQpb8n9RGNo4PZYh1Y8WuqAUsCbfVhQKNYn/RHV63Dx+9/vuzst6aohb9680ac29FUwVdzZsY2Qh1rJjf2xoal4/lRJz8qM+okYklcd84q/N6Fa7As304iZEo0xYKLDLwJR0sZa5pGMDTRjEz2kMu5KtjRAIr1PPFQcLvITgQRRSM4IpL55kQqP/st+K+RnZGCwssyjo/WujDiYQP9KRvHkzZiYQMZ24ev9Kh+Iifz13zc9wgBGEIAQowr7i48f31fA/Dw0Te9ClII/MdDB/ByTwoZx4OvgagpoYDi100IAdMIPm/PU/leUMA3nziCgWEHUggIYSNsylG9kiYKEKW/JxGrJFy6HkqzU0ssOF7qSdrF+qRqz34rbYRaOCIsNZ0be66vMJhxMGz70FrjyEAG9z5+BD/dc7zsqJPr86NOGvOjTqKhoHN3NMTibiKAO02lGJpoRiZ7yHlKBfPi8nUzQaF2DjlXjdo90jrY+ZAi34+pgp9mCj/vD9s+BjMuNIC0XbJXNMO/3QKAIUa6hpeSAGIhAw1RC32p4BhNTXDM6CmNV05ksK41jqCzVFAoLnSwU+UV2xQUbt0JCGgYhkDMMrCnJ4WYZeQ7oAc7S2N7JU0UIMb+ntSFTcTDBnKOQsp2MZRx4fkKjq+Rsb1xgaias98KjVD3dKdGHRECKNZ5TXVjb2xYOtCbxt07O7F9b9+4PxbNMQvvuLADv50fdSKEQDxkoDFmIWwyLNHU5rs1RjUxNI1gaKIZmewhJ0Vwa8syBIYdDyfSdnCDa4LvJ0pjwsBUuuskEByjnBi2cTyRG9fz6WRoAEIKWNBQKvg40ZAJUwikbQ9tdSHkPJXfzSpZn0D+Kn/wOXu+xhcefBmWIeBroDkfZA71Z4pHk0EgGhn14udbGmQcH0pptMQtnBgOekOZErDyXdT7UjnErNiEAaLc74mAKN7M83yNjpYYPvS607GsLlz2m3y1Zr9JKXDr1etx+7bdZY8IJ7uxVwhL6Xwx9wvHErh7ZyceOzh+1MnyhjDeeWEH3rx5JUJm0BusLj/mxOKYE6rQfA+zrjYez41gaKIZmeghN5R1cTyZhdaA4+livxtLinFHIxMpvJbA6LokQyBfFzXzm3KTUfmKcqWBhmgIYVNicNjBsOMjfaL8PLjCg9YpuWU3kAnm6EVMifpI0MNnRWMER04Mw9PB8ZwhgrooX2lIIdAYs9CbtGFIwDIMtNXL4pV/QwoY+bYHR4dyaIpZZQPEVMGjPmLiL9545px8U5+Nn7qne0ToeApD2SAsaa3xdOcQ7t55GM8eGT/qpKM5ihsvWYvX5UedGFLkx5zwJhxNT7WGWVcVM1MRQxPN2NiHXJ/jI217kEKgNW5iKOsW630mmzc3kbF1TZ4GvDKz5GZLcywUHAVlgxEsGsHR3GQrV0pP2Coh5ykcGcigoyWGurCJNS0xdA5koHQQsgwZjGVpqw9DKQ1fa8Tyt9oERmqSbC/YgdIA1jRHcfubN074TbkatUmz+VN3JUeEpWFJaY0d+0/g7sc78XLP+FEnGwqjTja0Fm85NsYs1HPMCc3AfLTGqEXsCD6CoYlOSuEht/toAn+1bTe6BjNY3RSFlBKGkUNv0p6VH1LGthIwpzGipFKprAs3f/wmAYQMAafkDLDcx5yqt5SnNHqTOcTb4qiPWOhojuLIYBYRy8CyeAj1EROOrzGYL/xuioWQn9CHeMiAG7OQcSSUCrqjf/qtZ8MwJLbv7ZtwR2c+a5Pm4qfuiY4IS8OSrzR++XIv7tnZiVfKjDo5e1UDbrp0LS4+tQVCCIQtA01RC/Ewv+XRzM1la4xaprnVVMTvIHTSpAzGiQwMO2irj0DK4MiqPmxhwAhueGk9dcAo+75F8FPO+LBy0sseRQCwSwKSAuD4o79VFK7rT3ezK+v6yDnB7TjLNNAcs9DREkdvMoe+tANLCpy9ugGJrIvuhA2tNfrTDvrS9qgjTUMAH/rWM3A8PeWOznzUJs3XT92OpzCUcZC2vSlHnVx0ajNuKhl1EguZaIpxzAnNjrlojbEQsKRpBEMTzYrCNxNLCmQdH55SMIRAyBDIeRqmALyp3804o4qu8/+e7b+/E/VzGvsypYOO5FLr4qiVStaiNJCy3eLctrNWNeKumy/Cnp7UqJ2gxw6ewO3bduNQ/zCGnfH9rHwNvHIii9a4heUN0arXUcz1T92lYSnr+vjfXd341pNH0J8e/0C6YkMrbrpkLc5cUR/chAsHbQM45oRm02y2xqCFiaGJZkVLLASlFV45kYGrgqJoIYJu2QIzq2kaq1zTyZkq3GBrqwthMOvCrrC43M8XZrfVhXFi2IFd4ZZXcN1foz5i4tar18M05bggcfmGVvzdb5+NW776RPFlhZEnpV3PBzMuljdEggLzKtZRzNVP3aVhKZ3zsO3Zo/jOU1OPOpFCoD5/E87kTTiaA7PRGmMh4kbTCIYmmhWJbHDLzHYVLFPAEAIKOph3htkrJJy1v7waaK0PI54fIFzp+/U1EDEkmuMWUjkXrje+c3k5rq+wrC6E689fg/pI0CW8XMDpH3aglIYpASlkPjAFx3GFHTFfA4msh+Z4qKp1FLP9U7ft+UjkO3gPDDv4ztNd+N6z5UedvOnsFXjXRR1Y2RiFKSUaoiYaItaiKr6l2nMyrTEWMh7PjWBoopOmlMaXHz6IsCnh+0GfIy30uJ5GEpUFjJmQACAqP85TAAaGbbi+P+36qFjIxJGBXNBXaap1iaCgO+ModA9l8ZVfHcTXH31lwlqko0MZ6PwOXaGXk69RbJJZ+GTckhbf1aqjmK2fum3Px1DGxbAd3Fr81pNd+N/d3ROOOnnHhWvQWhfmTTiqimp3z68G9mkawdBEJ61Q29JeH4EX1+hJZJEtUy09l4GpOWbC0wK26yNX8rCd6K+6RNAvKZF1p10r5fl+EGgqGG4X1DMFOyUZx4fSweDhiWqRVjfFgnCpUZxVV/hQpR+rtBFjteooTvan7tKwdGQgg/ueOIIHXxw/6qQubOJ3zl+N618djDqJWAYaeROOqqia3fOrgb3MRvC7Dp200tqWsAUYUkIKNee9PQRGgsXNl6/DuWub0J+y8Zff3QXXn/yS7MrGMDQEMo6HYceHP8XrSxGMPKkLG7jlNevwtcdeKYaYSgYDCwTfeHKeQl/KwaqmCNK2P64W6bpzVuJTP3wBiYwLKVTxiE6U7KIZAmiMBn91q11HMZOfukvD0oHeNO55PBh1MvbPS3PMwjsuWIPrzl2FeNhEPGwWQxNRtVWre341mAxNRQxNdNJKa1u0B9juSA1KJYFiJgSC3RYhgnofKYGrz2iDUhr/9st9ONQ/vndPqaGsh9a6IDiFDAlb+VOGPCmBzWsacc6axiCUlbQuF1PcpLPyXail1nCVRn/axvKGyLhaJNOUuO2a9fjsAy/D8TRMQxXn0BXW1xSzAAhkXb8m6igq/am7NCy9eCyJb+w8XHbUSXt9GDdc3IE3bVqBSMhEXT4s8SYcUXUs1h20mWBoopNWWtsSD8ngKr4eHZhmEp4Egp9wJrx5lw8SAsGxllIau48mKipazHk+jiWyiFpGvpdPCH2p3KhmlmO1xEP442s2oD5iIWTIkRqj/LW+iYKTKUe2t4UQMCVge8ENQ7dMLdL7rloPAPj3hw4glXXh578WdeGge7jtKvSm7Zqqo5jsp27b8zE47GLYdvFM5xC+sbMTzx4ZGvd6paNOQmYwILkhYvImHFGVcadpBEMTlTXZLLFyv3br1evxsW27MZB2oPToo67CrhBEUMA8NtRMFKiknLghpgaKhcKNUQut8RBuvutxvNSdwolhe9TOTDki32xThgROb49j19EEfKUnXMvalijuuP4cXL6hFUppnLmiHjsPOcVjPTHJJyLH9jBCECqzrg9LCjRFLezuSoz6er7vqvW45fLT8INd3Tg6lMHqphiuO2clpBQzrqOY76nsufxOWNp28eiBE7h7ZydeKjfqpK0ON16yFlee3oqwaeRnwpn86ZaoRjA0jWBoonEmmyUGAFu3H8D+4ylk3eDoaO2yON589nI0REx0D2XLBiZDCmgEw2lNQyBkSiilMez4ZUNKyJSA1vAxcZApyNgePvDNZ2DI4KhNILhxNhlPB7VBOdfH3uMppO3R19qNfG8kIYKGlvFQUFNTaBXwx9esx77eVHFMTLndLZl/W9/XkFIXx6NoBO836/joaIniH3/yMg72lZ/bdv2rV497vzOpo5jPqeyFsJTKuXjo5T7c83gnDvUPj3u9TasacNMla3HJaS0I54u763gTjqjmjP3BbykTuop3Cbds2YLvfve7eOmllxCNRnH55Zfjs5/9LM4888yK3j6ZTKKxsRGJRAINDYurmVi1TDRLbDDjonBKknV8eL6G6ysoINhZ0kDMkljVFEU666KnpGtzyBAQQsBTGgIaYdPAisYIUjkXvany1+RDhoSvdfEmVSXHe8vrw6iPWDjYn56VIvSQIYPdLl9DaY1l8TBeVXIctmN/P7b8eA9e6knBHZPSCt9ipBRQKmgXENx40/D8IHg1xywIIeArPe5rXRc2ptXle7JdpMl+T6f7cSZTCEtDGQcPvngc9z3RiWND40edXHhKYdRJI2L5eqVYiD+/EdWawjP2zZ/9Ef73L66t9nJqQlW/U23fvh233XYbLrroInieh7/6q7/CG97wBrz44ouIx+PVXNqS5HkK//CTl4MZcnVhhM2g905EGljeILD3eBpK63y/JQFTCkhoOPlGzVlXIWV7SDveqJDj+EFYKtwAy7o+Dp/IANCoCxujdnkKb+f6atQ1V7OCmW/HUzbCljzpwFRYg+MrSBXsFmk/aKo4tlXA9267AruPJvB05yCeemUQOw72QykgHjbQm7ShtC529C4cTUopcObyOggh0J3InfTctsl2kS5dt2zO58NlbQ87Dw3gyGAGu7oS+OXLvWVHnbxm/TLcdOlavGpFA+rCJhp4E45oQci448c6LVVVDU0PPPDAqP++66670N7ejqeeegpXXXXVuNe3bRu2bRf/O5lMzvkal4od+/vxDz95Gbu7hgAhkB3MIGxKtNVHUBc2YbsaOt+sUouR3aMgoAQpRQM4nrTLvv/Cq0XzxzDHUzkojXHHYqV5py5iYijjjnv5ZDoHspV/0hMYO6S3sFOkATRGTAxl3VFB49yOJmxe3YhfvNQLKQRWNQfhJGQa6EvZyLkefB0Ug5/eXocbLzkFm1c34tZvPHXSc9sm2kUqhLv3XrluzubD5VwfP3vxOO585CD2H08jM9FRqyFQFzJgewpCC3S0xIp9pua7zoqIJjbRMzbL0FRUU3viiUQCANDS0lL217ds2YJPfepT87mkJaHw4B0YDnYHzHx77azro2sgg5a6UDAWJX87zEDh1pqGUiOF0FMFG8sATmuLoT/tTLkbpAEks+7If1exIW2hV2Zfyg5qnKTEi8cSeOFYEptWNeCFY0k81TmIPd1JRCwDaduDKSXiYQPxcAw5RyHjeHB9jS2/cw7O7WjC9r19Jz23TSk95S7SfY93Fj+OhkbOUfCUgiklIiE5o27iOdfHYMbBT57vwecefHlc8C0wpUB7fRjxkAlfaxzqH8Znf/ISGmNW8XhzvuqsiGhqEz1jx44yWspqJjRprfHhD38YV1xxBc4+++yyr/Oxj30MH/7wh4v/nUwm0dHRMV9LXJRKH7xtdeH8TxQimHGmAB8ax5M2DDHS0dvL/2LpfkAlmcbxgZ5EDqmSwauTha3SYDVVYfd8MPLTcx3fh53xcffOwzg6lMWB3jSGsm7xG4shBKQEwmbQIqAubCJsSvSmbQzlg+DUc9t8QAOH+ocn3IEpdGKfbBepJ5mDgMBQ1kUi68L2/GKBe+GmWqXdxAth6XD/ML755BHc/+yxsjchDRkETcsQaIxZMESwKxkLGcXjQKU1Pn7/8xPukM1WnRURVW6iZ2zGrYFvwDWiZkLTn/zJn2DXrl145JFHJnydcDiMcDg8j6ta/EofvGFLImwayDjeuJ2gcqFlJn+NTgy7o/57Qf1VFME8OEMEvaO++8xRNERMhE0DTsn2dVD3JZBzfRwdzGJ1cxSGFKPCyWRz21I5F0eHshAQ+Lef70PIlGV3YEo7sZcTzr88HjbQOZAJ+l4ZEkLmWx44HjKOh02rGibtJl4IS/uOp3Df48Gok7GtIKQAmqIWopaJ46kszHy7CNfTMEMy/+ULgtz+4yl87sG9c1pnRUTTN9Ez1vEUPF+xZxryc06r7f3vfz++//3v45e//CXWrFlT7eUsKaUP3mBMiDnn408WKp0fnOvna5w8X6EhYiKRdaExMtJFI98DSgC+0uhNZjGUcbC+va4YTqQU+KOr1sEyBI4MZDCUceArhYFhB50DGfhKo60+hOUNEcTDZnEHZsf+/uJ6SneryrF9hVC+3QOA8ROMp8gjOddHdyKLR/b14fbv7sZ77noCP3q+Z1RgMgTQGg/htGVxtDdEYBjBOzakgNaAp0avLWxIZD2FIwOZiuqsiKg2jL0hvFRVdadJa433v//92LZtGx566CGcdtpp1VzOklT64A1LiUTWnfqNFjmBINSMHRyrtILvBUdbQHAlLusq2J4P05DQGsUAE/z/4O2HHY2IhVGjTnbs78eXHz4Ix/ORcX2kba/4a4YUWN0URX3EAjB+B+biU1uwpyeFE2kb7Q0RHBnIYGVjZFQAKcykW9McxfFEFisbI/njOVU8notaQdftE2lnVCF41gl2lp7pHMQ3HuvEowdPjPsaNccsuJ5CczyEeNgMRsQIgZBhFG9JFuq/Stm+yg8kPrl6LiKaX65SiIK3Xasamm677Tbcc889+N73vof6+nr09PQAABobGxGNRqu5tCWj9JioMWIWH/pzNTNuIQge9uNDk6eCr4tA/ghOjHT3FnLyr5cqKf4pvfHWEg9jeX0EKdvDQMZB1vGxoiFcDEwjawp2YF48lsTbv/woepM5uPn+UcOOh86BLNobwggbEravMJRxEQ9JnLumCff3DWNZXQintFiwPV0sBA+bAllX4cSwg6c6B7GuNY6hrINHDwbdu5/pHBr3eaxpjuKGizrwm2ctxye/9wL296bRGLVGjtgsiZAhkXF8xEIGIqGRYFQIcmuXxdGbzE1Sz6UqrrMiovnhelP0fFkiqhqatm7dCgC45pprRr38rrvuwnve8575X9ASJKXArVevx+3bdqM/baPQ6/RkZsYtdEoD/phjpaAeKKhn8pQKWhHkvzCFPkzemGOy4nFdfhZfYZfoPx46gKGMi8aoGfRtMgSaYiFIAXTaWSSyHlrietzRlesrDGUcuL7C8oZIsXjaUyo/382GlBKWFFjZGIbWGt979iiSuWCUScSSaG8IdrDStofDA1nkXAVfafzzT/fi64++AtfX6BwYP+x4XVscN128Fq99VTuaYyE0RC188HWn4/Ztu9GTtNEUs4qBzZAShlQwDYGcq0YFubqwgY+84Qx8+eGDZeu5CsFq48r6SeusiGh+8XguUPXjOaq+yze04o7rN4/0acoLjqmCW3RLTeH2l5efLWeZQaMmT2koNRImE1kHYdNA1vHH3SQr3ahKZl08d2QIf7ltN3YeOgGlNNK2V7zF1lYfhmUYMPLDfHOuQjQ0sgujoYsjW9rqwsWmkBFpoKM5hp5kDmuaY/jgb56Oo4NZ/Msv9mFw2CmuydfAsBPUErXWhTEw7MBTwVGdaQikHQ+DfeOPZs9a2YB3X7oWV2xoRVM8hPqSMSeFPzeFtgEJpWFJgXM7GnHV6a14eF//qJeXDheWQpQNXIVgVXqUSUTV53CnCUCVx6icLI5RmblyTQWV0njTPz+Mg/3D814MXms7Wtec0Yq3nLMKW370IoYdBcdTo3bfTCPft0prLKsLYSDtTLstghQoFkxLIbC6OYLepI2M66OjKYqQacBVCr6v4fk+jqccRCyJ9W11gMConksQGhnbx9Z3X4CP378bLxxLFmuKlNZlf0qc7Gv+6rVNePelp+Di01rQFAuhLjzxz1cTNaicqnHlqD5N+WDFPk1EtaPwjO340Lfwi4+9CRva66u9pKqrmZYDNH8maip41emtSNlBD6VgVMr8qaXABABPdw6hL+3AdjVU/qjOCLIJIIJ5dIVTJdvTiIZMpG1v3PsZe2GtlNKA9jUsIwg2fSkHTTEL2YSPY4kctM7P9St5G62B/rSDtO2N6rkUMiRMQ+Lpw4N4uScdDEqWwdGXFAJC6HE/KZZbU9QyEDEFPvAbp+PS9csqGnMipSjbTXyilxdcvqEVl65bxo7gRAuAzZ0mAAxNS85EYzdePJbAzoMDsAyB5Q1hpHI+bNeHr/WSbEEQMiWODmYx7Pojxd9qZBwMMNKlXEKjoyWKvrSD3lQwgqD42Bfju5mX7vAE7QkULEMi53rQ0EERutZld65sT6EnmYPMDwAu9FzKuT7gKTx1eCDYfcqPuQnWGRRVGZMctdaHTbTUWQgbBgYyDoQU8zIXbqpgRUS1gcdzAYamJWSisRueqzFs+3B8BccHcl5+WG6tnZnNI6U1WuIWhvI9mCb7MoQtA8dTNrLOyE6THvd/Roj817XwS0oDvtbwFCA9hahlwFNBXZMUopjAXH/0rlMQ5vLvTATHfS90J4sfVyO4Xeer8gFMAGiImGiOhxC1DBhSIOcFvZ14c42ISnGnKcDQtISUG7uRtj0cGciMaljoKz3uuv1SMzDsVjzvri9lBzt2FX5TMaSAwMgtPCAItKYUiIZM1EdMdA/limEKGN+HUuWP7gSC4nRDSLTWh5DKupAiCFhCTLxLaEmBNc1RREJGcczJfN1c45BeooWHO00BhqYlZOzYDQ2NnkR23EgMCgxmKmv0qXSwO1cpgWDHqPTLrjQQsQQ8X+F4IlcMS5PxVHDkFrUk2uojCBsSx3IeQqaBTJnbfAUrG8MwhUAy58EwJKQhkPP8ebm5xiG9RAsTQ1OAoWkJGTskNuv4yLn8izDfXB/QY87tBADX03BV+d+PsfnHlAJt9WHEQyYsQyDr+ugczEw4jVwgOL5bVhfC599xHgCMaxVQ2hJgLkxUT8chvUS1z/bKf29ZahialpDS7t/L60VxZhrNj8lu0gkBuNPY8bMMgYgpkcw6SNk+su74b2iWIWDKYA5cxDTwqpUN+ONrRkLRfN5cm6iejkN6iRaGodRwtZdQExialpBC9+8//daz2NubXvJ1S3NpbLF3S8zCsO3B9sfvMFmGBKCLs+omfb/Bu0XWVTh0YnznbiA/6uTitXjruavQm7KRsr1iKAKA3V2Jea8nKldPVzB2SC9v0xHVHsMKV3sJNYGhaQkoLbw9kh+RURjtQXND69HF257So3aSSnednPwQ25NlSODGi9fiA687A80xC6YhsaYlVvz1atYTja2nG4tDeolqG2uaAgxNi1zpg9LxFBJZF54KGjNKgWl3sabKlX5pk7nxjS9Lf33st6OJuj1M9tsVkgKH+oexLB4at3tU7XqisfV0Y3FIL1FtSw6X39leambjB1yqUYUH5Z7uJOJhE6Yp4aqgBFlrwJASJutHqmKqrDqTLJv1NPZ0p/DCseSol4+tJ4pYBmS+eeWKhjDSto+t2w9AzeFxbaGebjDjjps5WWh1sL69jkN6iWqUNPkDDcDQtGiNfVCGLYmhkqMPDQRzzVjXNK/mOqIOZV2cSNujXjadeqK5Uqinqwsb6EnayLo+lNLIuj56kjaH9BLVON6eCzA0LXBKaezuSmD73j7s7koUdwvGPihzjoJXMkNDIF/XBBTHhNDM1NJfIl9pnBgeXRdUrj9X1vGRyrnIOj5ChoA7D/VEl29oxR3Xb8bGlfXI2B560zYytoeNK+vZboCoxqWGs9VeQk1gTdMCNllhr6v0qAelpxS0DuqYlB59/MO9psoJAPGwAcdTxdtu0ymPLITUufyaJ7Ojm3KW1hN5rkZfyh417NeUErGQMaqeaK66dnNIL9HCxDEqAYamBWqqwt73XrluVOGtKWXwYNJBDQmD0szUhSWyrjqpLupz+bUXAMSYAFKoJ9rVNYSM7UMjP8pFBuEo5/rQ0Ehkg52mub5lxyG9RAvPdPrILWa1dLJAFZq6sNfD/zx1BE0xC31pG0orhC0BU0r4Org5RzOTsmcWmASClgBzzTIkzu9oGvUyKQX+6Kp1sL1g7VKOHM/6OmiCGTIMfPnhg3hkX9+oywPt9WHEw2YxjO/Y3z/3nwQR1RwtuMcCcKdpQSqtV4IAso4PT6l8KFIYtn3s7kogapnIej5e6knBEAKemniAK80tDcCf491tAeDMFXXYvHr8Lk5jNIR4yICEgKsUvHx4LsytM6TA/uMpfO7BvezaTUTjDOfsqV9pCWBoWoAKhb2Or9CdyBXrUzRQLAQXAqiLGAj7AieGXfg8kFswjHweGVt7NhkBoK0+hI9du7FsoBnIOJBC4tRlETi+LobsiCUhhIBSGv2ewpGBDFri7NpNRKNlbN6eAxiaFqSWWAhKaxwdzAbF3RKQQsD1VfEhqzXQl7K5s1SjLENgWTyExpiJ4ZyC6yvYno9E1oMp5YSDe4FgWK+vRurSBIK6pdvfvHHCmqNCMbirNKIhA8DoBpN2viu50uzaTUTj9Q3z7z3A0LQgbVxRD9vzi7U1vg+U25OYzk4FzY+wGQSSVQ1hxCMWhBAIxYFUzkX/sA2NIMCMFcyoC/6/lw9MAsDaZTG878p1uPHitZMemZUOa17RIEftJBWaS65dFkdvMseu3UQ0Tl+aoQlgIfiCdN+TR5Bxpt4qZWCqLSEJSGi4vsLhwSz29aZxPJlFTzKLwycy8FXwF9KSgGmM9M6KhyRWNEYASHgq+H21DIF1bXF85m1n492XnjJljVElzSU/8oYz2LWbiMo6kXbgz3Vh5gLA0LTAKKVx3+OdwYNTBn2XaGFwVDDqpHBzzfYUelMO+lJOMeCapoAQEoaQCBkChgRynsLgsINYyMCKhghOWxbHKctiSGRd/Pn/7MLWhw6MamxaqrT5aX3EwqffdvaEzSWvOL2NXbuJqCxfA4ePn6j2MqqOx3MLQGmjwYG0g+5EFoYQwcNLaSjNPaWFpDAk2RBBeCr92c3xNIAgWAkR/FTjaUAphdVNUcTCwV/ZtO0h6/gYcB184acv42s7DmHD8vpRvZQm6rf0vitPw4m0i6NDGaxuiuG6c1bCzB8bFrp2F94uoTQsKbBxZf2s9WkiooUlJBU8ABltVXspVcfQVOPGPviU1khmPZgyaFzJQu+FSyMo4i9X810Yqlz6S34+HKdtD0cHs1Baw5ACOt9K4rkjCfzZt5/DP779HEghyjY/3dU1hP/v608F7QeEhGUIfPeZrlGBiF27iahUR3MUh9JAX4p1TQxNNaxc1+9kzsVgxoHvs+fSQqd05TP/NIDjSRtCBN+4lNYwDQHf1/A00D/sQABI2y7+5J5nsKY5Oq7fkudqZOzgAoGEwKnLInCVLjauLJ3/xq7dRFSwLGbhUFqhJ5mr9lKqjjVNNaq06/fyhjC0BoYdDyFTImIKBqZFwp/G76PrK3QNZpF1fRhSQKmR0QZSBK0IDCmQyLp4sTuJsDlyS04jmDmnAVhm0ODS9oJ5hPGQgaGMi/94aH/ZuigiWtp6h4YBAJ19iSqvpPq401SjCl2/w6aBwyeyJQ0sddnjHFr8RP73XuX7DXj5xBWMaBEQEDAE4PsaWgNDGRfNsaBRZc4J+kAFrwc4SuFoIhv0e8rnpMcPDeKexzvx7ktPqdanSEQ1SLrDAKJI2PyhijtNNepE2kYi66J7KIuM7eVfquErthJYqtz8771G0KupkJ0tU0LkD/qCZqcCUgS383Ju8FqeCnaVhAD8fA2U6ylIIWBKASmDnax//cU+zpcjolHi4aAA/NjAcJVXUn0MTTVox/5+/N0PX8Sw40MhKAZ2fQ2PO0xLVuloFSA41gsaXgoYJUdwntKwDBnUOykNN+h8ClPKIDD5qnikZxoCUggIkd+lkkHQ2rr9AI/piKgoku9125vm/DmGphqzY38//vRbz+JgPxM9jVDI1ywJIGYZaIqaKDT11ghuVTpe/t++gusFXcOPDmVxYthGyBT58SzB2wSBSRbf3lcaEctEa12oOF+OiAgAmhrqAQCJrDfFay5+DE01RCmN/3hoP/rTNo/glhAppr5Fp3VwJOdroCFq4oO/eTqilgHP13A9lR+toiER7EoJOTKy5XjSxtGhHGIhA5YRHORJjIQtz9eQQqCtPoywYcDlfDkiKmGFgvLnjMvjDhaC15AXjiWxpzsJdqpf2ASmV3dWqFOKWBJu/gx2slt1PUkbn/7flxAxRLDbJPKd4TVgGAK+AgwhsaopilhI4uhQDquborjj+s3Y1TWET//vHvhKQflBjVPEMtBWH0Zd2ETW9Yvz5Uqbqlbaq2kmb0NEtS3R2wVgFbKOD631qNmVSw1DUw0ZyDiwXe4xLXTT/R0sdP9uiYWQzLnIuv6U78RXGhmlUR8xkXF8uL6GzHcYj1oSbfUR1OW7h7fWhTE47EAKgZsuOQU/eeE4nj+WQGPEhGUYiISCQvLCfLmNK+uRyDq4+a7Hx3UTn6wreGkj1qzrQwqBjpYYPvKGM3DF6W3T/KoQUa2IR6JANj/SaSiBluamai+pang8V0NaYiFI/o4sOSsbI1jbEkPG8bEsHoKssOWlBpDKeWiOBuHIMiTWtsRw6rJ4MTABQNiQxSM3KQX++Jr1aIpaGHYUIACtMGq+3FWnt+Lj9z+PPd1JxMMm2uvDiIfNYhPMcrfrCo1Yd3UNYTDjIpVzMZRxsKtrCO/92pO48+EDs/K1IqL5Z5Z8SzIjseotpAbwEV1DNq1qwLrWeLWXQfMoZAgopYOgYXs4lsghGqr8r6UGkLR9mFLAVwoCYtzWue2r4pEbMDJfrtzg3k+/7Ww8vK+/2E08YhmQUiBiGVjREEba9sfdris0Yh3MOMjYPlxfwZASlilhSgHbVfj8T/fikX19s/I1I6L5FVQBBH/nM87Srh/h8VwVlav/uHbzSjzbxa6rS4EAEA0ZqItYaIlLDGVd9KZySNtBmwCJ0bPnJuL6CmFTIucGLQaiMIq/VnrktmlVQ/HlE82XKzRVLTTFHLVeIdAUs4q36wpjVgpv4+Rv7JmGKPaNMqQAhILjKXzuwb24fH0ra5yIFphQJITGqImhrI+BYQcrGiPVXlLVMDRVydhBvKYE2hsiOM7ZPguOmR+6O92fv2IhAx3NsWI4aYmH0BQzcXQwB9dXEACyroKv9aTF5SL/vhxfI5HzYJkGwoaE7SsMZVzUhQ3cevX6cWGl3Hy5gYwD19cIGeV3u8KGRGLM7bqBjIOs68P1fRhypNFm8eMgKFjvPDE8KmwR0cIgDRNtcQtDWR/diSzOKvkBbKlhaKqCsYN4HU+hL2WjO8kdpoWo0HRUimB3yJuiiNvIF2y3xMfv5kgh0VofFG5bhkDOcwA9eWACgtt2Z62sR2M0hIN9aSSUhiUFNq6sn7R4e6yWWAiWIeD4ChFpjPv1sUd9hbeRQhQ7jo+lMbJrxlYGRAuPnckgZwe7S8+90ofXbVxe5RVVD0PTPCsdxLuiIYJhx0d3IgePA+UWPDVJuCnl66CTd33EhNYaOVfBUwqmlIhYEmFDQkqBmy8/Ff+7qxvPT9JoUiDYMWqKWvjYtRvLHrlN5zhs06oGrG+vw57uFFY0yFGhbqKjvk2rGtDREsNgxoFSOjiSK3kbTwU7V1FTjgpbRLRwxHUaQBzP92SqvZSqqmoh+MMPP4zrrrsOq1atghAC999/fzWXMy8K9R9NUQtZJ9jqdH0FTq1YHCr9bTSkQF/KxqH+NA4PDKNrMIvDA8N45cQwBrMOLClwxYY2fP9PrsAtrzkVoXxPprGNMIUUeNWKetxx/WZcvqG1eOR29Rlt2Lymcdr1Q1IK3Hr1etSFDfQkbWRdH0rpUbfrxh71SSnwkTecgZAp4foavlbQOmic6SoNQwQ3+zYsHx22iGjhWGa5AIBf7e/HkZ4T0HppPrSqGpqGh4dx7rnn4t/+7d+quYx5NZBxMGwHu0uHBzLIuYrdvxeJ6fR7czyFvrSDYUdBKw0hgpAxbPvoHsqhJT6yS/TX123C/3vPRTh3TROaohYaoyaWxS2cvaoBn/rtTfjebVdUfPxWiclu1xXC2VhXnN6GP3v9GQhbMuhSrjRUfocpYploiVtl66qIaGFor4uiKSzg+hof+PqjSCaX5qilqh7PXXvttbj22muruYR590p/GslckNj5/FhcpvODlxQjw3c9DcAf/et7j6fwyP4+XHVGO4AglFy+vhUvHEviRNrGYMZFU9xCazw8O4sfY6LbdZOFnvddtR4bVzbgcw/uReeJYSgAUTPYYZpOXRUR1Z5cLo0bzlmJrU8M4JWMBRGKVntJVbGgapps24Ztj0xZXmhJ98vbD+Aff/JycWdpslEZtLh5U5SwOb7Ge+56Ah+79lV431XrAQTHYKmci6/8+tC0OnXPVLnbdVMpDXccpUK0sEz0jK1vakE4FocNEw0RA4NZD1944EX8zfXnVWml1bOgmltu2bIFjY2NxX86OjqqvaSKKKXxtz94AZ994CV4LF6iCikN/MMDLxWbQhZuXU6nU/ecrU1p7O5KYPvePuzuSoxqdnmydVVEVB0TPWOlaUKaJpTn4MJVwS26r+48iscOnqjmcqtC6Bqp5hJCYNu2bXjb29424euUS8EdHR1IJBJoaKi9AlOlNO55vBP37DyMF7tT1V4O1YDpDvMFgPPWNOF//u9luOWrT2BPdxIrGiLjbrX1JG1sXFmPr95y8ZyHlLE9xuZyt4uI5s9Ez9hb/+HrCEdHxqc8PWDicMbAyoYwfvLhq9EQsaqx3KpYUMdz4XAY4fDc1HDMth37+7Hlx3vwYncKPneXKG8mfxIO9Q/jB7u6p92pey6M7TEWMiQcXxV3uyYqFCei2lfpM3Zzk4feHNCdtPHJ+5/HF991/jysrjYsqOO5hWLH/n58bNtuvNSTGnVsQYvPfJw8+Vrj6FBmyk7d7phO3bNtbI+xSubSEdHiY0ngomU+AI37nz2Gux5+ecm0IKhqaEqn03j22Wfx7LPPAgAOHTqEZ599Fp2dndVc1kkpPFgSGRdKabYTWOTmIx9ETInVTbFip+5yynXqnm3TmUtHRIvbsrDGxobg2u/f/Wgffvn8kSqvaH5UNTQ9+eSTOP/883H++cHW3oc//GGcf/75+OQnP1nNZZ2UwoNFac3bcUuQADCbm0+GBF61sgHXnbMS69vrMJhxx/1EV+jUvb69bk6bR1Yyl67cbtdkReNEVPvqm1pQ37xs3D9ntxp47fpGKAj86Xdfwp7uxf8DU1Vrmq655ppFt6U3kHGQyLoYdvypX5kWndn+09wQsfCms1cUO3Xfvm03epI2mmJWRUN5Z9NM5tKxaJxo4SvcnhvLMC187Oo1GMgpPHc0hRvvfAzf+qPLcPry+iqscn6wpmmWvdKfZmCiaTPlmPEoCObTKQ38xy/34+a7HgeAaXfqnk2FuXSV7nbVUosEIpq5RH8vEn3Hx/1jZ4bxlYdewvpIBs1hYDDj4p1f2oE93Yt3+DxD0yzasb8f//yzvdVeBlWBALC2JYZ4aPwOzGQKYWnTqgZ8948vxx9cdgpaYhbiYQNtdWEsi4cQCxvFoAEAX73lYnz59y/E595xLr78+xfiq7dcPC+7NtOZS8eicaKlwclmoO0MLmux0WgpDGQ9vPNLj+LZzsFqL21OMDTNEqU0/uOh/RjKetVeClWBAPD+39iA05fXoyFiYnVjGCFj8qMygWD0SsQy0JdyIIXAM52DSNkecq6P3pSNI4MZ9CSCQFIIGgCq1jyy0rl0LBonWlrCBnBFm4vmkELS9nHDnY/h4b291V7WrFtQfZpq2T2Pd+KxgwPzcpuKaosEYBgCwzkPvckcljdEoDWg4cA0BHy//C1KjSBAtDeEkXF8fPfprqAJqtYwDQkhglCVc30cG8qhrT48L72YplLJXLpKisYTc9wigYjmV0gCV7S6/397dx4edXk2evz7+82ebbJvJGHHQBIWg1oWQYWCiliglyuyHK+jtRWF6lGp9hytpwp9Wy22b8G1altcTiv4+rZaDAgIBQFZKrIJiIRAQliSmayz/Z7zR8jIkCABQiYzuT/XlUvzm2dmnnsSZu48y/3w2QkLxzxw9xuf88ub+nFDQRoACQkJLf6IijSSNLWDdfuO8+tlckRKV6TTNG2VYLegaVowUajz+lEKtObtdK38amhASpwVi0nHohus2XscQymsJg391BuLpoFmAn9AUV3vJcZq7hSJxrnOpbuQReNCiM6p+ey5thqXpPhXmYdvXH7mfrCH//r3EfomGDx80xCczvD9wdceZHruIhmG4on3t+OSabmuSYNYm4kB2QkMzksMJgpmXUcBvoDibBtEdV0jzmqmut5HeoIdd4MXk9ayaIGGhknX8PibNhhEQqJxvovGhRCdV/PuubZ+WawWvp+fTGFm09Er6w/WsLncixEFu+UlabpIizcc5MDx+nB3Q3Qgsw4WXcOsAwpirGbGF2Ryst5LeoKdqnovVjOcni21NiCtlKK6wUuczcT4gkxAw2bW8RuqlVIcioAB6Qm2iEg0zmfRuBCiczvb7rmzfR09tJ8f9HXwh8m9uPd7GQDsOO7jsQ/2UdPoC3M0F0em5y6CYSj+uPZAuLshOlDzZ7yiaQRI08Fq1lm4ch++gMJQBnXeAI2+QMiMXKt/XynITY7l0fGXEW+38Of132Cz6Byr8eIzVHBnnaJpek7XNe64Mi9iEo3mRePNdZpchsKia/TPipc6TUJEMbs9jj9vKAuuX7oqU2dTRYCPdx5l8sJ1vHhXMX3S48LcywsjSdNF2HHEzbEaz7kbiqigAbmJdgJKwxcw8PgDuBr8uOp9pMXbgofX+gIeGn1+FE1JVvOgka41LfzWNY1YmwmlYPbYvgzvk4phKHqnx7GrvIbsRDvHaz14/EZwXZSua+RnxnPnlXnhfAnOW1sWjQshoo+34dsZmGwzXOVsZK8/hX2VtUz43RruH5XHT8b0x3yWzSKdlSRNF+FkvTe4zkRENw1IjLFwot4XTGb8hkIDnDFm7Jamxc523UResoNDJ+tRvgCpcVZiLGbqfQGq6r34AwYBQ1HTaGDSdQ5XNQCEVPyu9QSCO/AafAEavAGcDjM/u6F/RCYb51o0LoSIfpnxdtIsBhuPalTUGzz/yTcs23GUp27Kp196bMTsrJOk6QIYhmLHETeLPzuIr/XzU0WUMWngbvShVNOIkXHq565pUF7tQU/SibOZT13TSI23cehkAw0+A5tZcaK2aRGkSW9aCOUPKAyleOXT/fRKjWV4n9QW01m+U9NZRTlOmc4SQoTN+e6e+y7fj1Xsq/LzebmHHUcbuOW1rfRwmnjhtsEM6pXZLs9xKWkqgg9/c7vdOJ1OXC4XCQkdszi2+SytfZW1lLsaO+Q5RXiY9KbkSANOz401wGzSMAwwm8BvgMOi0yMlNviXkmEoyqobsJt1TtZ7MQyF2aQFR6h0TSMt3obXbzAgO4E3/8eVwVGk5qRcprOEEOHU/Bk794/L2i1palbnNdh0uIFvqpsWhps0+GFxDg+O6UtOUky7Pld7kpGm89B8llatxy8fYl1A4IxRRJ2mkSXFqXVKmgJ0zDp4/AaNPgPHqWNUPAGDWKuJSYO78eraA2haaPkBBRyv9WDWdXYecYUUrJTpLCFEZ+I6XonN0f6JTH9zLQ/dWMg7O2pZd7CG//d5GUu2HObOq/KYdW0f0hPs7f6cFyuyVmCFkWEo/rByHydqm9alyALw6Hbm4bnQNNoUUGCcGi1SCvwBAzj1/6fm7E6vQ3RFr2QS7GbS4mzomoaugcWsYTlVwNIbCFBV72OtHF4rhOhi7PY4/rW3kjxbA2NzTaQ7NPyG4k/rDzLqP1by7Ie7qKoLfzHf00nS1Ea//MdO1n19ghqPn+oG/1kLForocPqPN2RqTjstiTrVyB9o+h9d01rUIUqNtWExabgafCjAYtIxaXpwF53p1HTesh0VcnitEKLL8TbU46mvI17VMyKlkZGpXlLs0Og3ePnTrxn5q0+Y//cvKDt6opX6dR1Ppufa4JVP9/PGum8kURLNBZqCWZWuAZqGhoa70YfVpIfUITIMRYbTwdGaaswmLWR3iEJhKLCZTVS6G8N+ppwQQoRbml2RavNwtFFnV62Fak+AF9ce4rV1pdx9ZRYzR/QkxmoK2247SZrOwe83+MOq/XIQrwBO5Uyn/S74DEiNszChKIueaXEMyU2kqJszuOZN1zXGF2SwvayaQEChmVTwIN7AqQXhzQf2doYz5YQQItw0DTIdBhl2D0cadHa6TdT6dV76rII3Pz9KvtPglbtHkJaS1OF9k6TpOxiGYuGq/bjqI7vsu7h4zYkOtKzu7fEbfLi9AotJo3d6XIvyACP7pPHqmgPUewP4DQNlND2e3WIiLd6GSdew6EZEnCknhOh62rPkwPlKAPplK746Wsshj5Vyt49tJzR+8PIWHhzTlx8W52DpwAKZkjSdRXNpga2lVa0fgSGi2qlZt+AI4+lTs7p22gydgkSHhQS7BW/AYFd5DY8v3c6zk4uCiVNBdgIDshPYVe7GabcTUAqzrmO36qCgwu2hf1Z8RJwpJ4ToepoP4g3b8wO9kizMu7Yfn3zTyMv/OsQRVyNzl2znxdX7mTO2HxMHZWPqgF3tUqepFaeXFnA3+PAGIvYlEhdA1yDGaiI1zkaFu5HGMyqY2s1Nf9V4/AYxVhM902LRTi0PV0oFk6DTay99+zsVIDHGgs2k4wkYVNf7iLOZQpIsIYToDJo/Y3/8H3++JCUHzpfVEYOmNe2w2328kTKPneqGplM5eqfG8OA13RndJxlN0y7ZmicZaTqDYSgWrd5PVb0XX8CQhKkLSouzkRZvQ9OaFm6XnawnoJrWIqEgwW7meJ0Xk66RnmAPJkzQVA08McbC/srakIXdcnitEEJcnNPPs+sbB/1SFHurdXZXGew/Xs/sv+0iM1anKDHAb6ZfjdPZ/htrJGk6w44jbnYecVPnCeCX1d9dikmHOJs55OceZzOTkxxDpbuRBl8Ak970V45J18hOdASPTjmdzaTjMlSLhd1yeK0QQrQf5WmgjwPybLCryuCQx0FFncHROo0n//EV/3fKYOLtlnZ9TkmaTmMYis8PnsTV4JOEqQtKjbPxP0f2ZPGGUircnuA0mknXsFtMJDgsTB/WncwEB79ethvrWRYfegIGFl1rdWG3VPsWQoj2ZdVhUIrOALPOFycUpTWK97+oZEvpan53awE9U76dWrzYaTtJmk5pXvi9vcwlCVMX1DM1hmcmNa0rKsh2tphGG5CdEFJ7acnWMnaV15CZoIfWXjpVDVwWdgshokU4d8+dr2vi4WhdgDWljZRWe7jl1a2M7ZdIbqKNxroaHr5pyEVN20nSROjC71NHh4kuQgN+NLoXj47PD06TnWsaTdc1fjy6N48v3R4yInX6wu4fj+4t025CiKgQ7t1z58Nqs9E9ViMtMY4Ve6spr/GxYm81PxyYSntM1EXGq3AJNS/8rmn0YTWbqHA1hrtL4gJpgK43lQdobbCwuYyAUk075OwWE0PykkISpmbnmkaThd1CiK7iUh3Y294aG2u5//rLg7vp774igwfe38+Oow3sqKjj95N6oZTC5XIF73O+03VdPmlqWvjtotYTwFMnRSwjlVmH5BgbVotOvcePzWJi2vfy2F1Rw4fbywmcKihp0jTMZh2LSSc51sJPrrnwESFZ2C2EEJ2H3R7HnzeUhSRB2VbFDuCL8noWfLwLm+nb2xobanlq6hgSExPb/BxdPmlau+84VfU+OSYlQpk0iLObMesaSmsaOSzo5gwZ7bl16DF+8/FXlJ6owwAcZp0+Ge0zIiQLu4UQovM4vSyB14D9tVZAI8WmsODHCHzbVvn95/34XTppMgzVdLq8JEwRJ9ZqIs5u5oHr+nL70Fx2VdScdbRnZN80hvdOlREhIYToAmp8GvtrTZTW6QRO1dG7Z3gON/ZPbjEdd76Fsbt00rTjiJtDJ+vP3VB0Kgl2M4NyE0NGis412iMjQkIIcWE6++45j19xvCHAsfoAlXUGFXXfDiclO8wUZcVwot7Pq2u+lt1zF+NErQdXg5ws31npABrEWM1YTRqp8TYmDc7m6r7pMlIkhBAdpDPtnjOUoqohwLG6AMfq/RyrC+D2GC3adU+yUZgZQ3aCtV2PU+kcr0KYVNX7MFq+1qITiLHoXN49mesLM8lNjpEpNSGECJNw7J5TCjxG01Sb26/h9um4fRoun0ZAtfwciLMoUmyQbIcUrZ7/c0tRqyNKF3tObZdOmhJjLWg6IIlT2Gla00G4afF2bhuaw6h+MpokhBBdgScANX4Nt+/b5KjGr+E1Wn//t+iKRHOACQOzGdozlcLseJJiQqswyYG9l0BqrI04qxlX4/mvoBdtZ9LAatbxBRQBQ6Foqplk0jWcDgu5yTGML8hkZJ9USZSEECJKWGwWOO1Ac0OB2wvVXqj2NP3X5QVPoPX3fA3ISbTTOy2GPmkx9E6N4bKMOHqmONA17ZIlRt+lSydNBdkJFOU4Wf/1CQIy2tSuzBrkZyXw9M0FDMxJZFdFDSdqPVTV+0iIMeOu95MUYyElziaJkhBCRIHTk6Sa2jpGF+dTVgtfVdaxp7KO/cfqz3pMWbdEG71TY+idGkvv1BgG9UijT3o8jk52TEeXTpp0XeMn1/Rhb2UtR92ecHcnojVX2L6iexKThuQwcWAWZvO3B9rKzjUhhIhMbdk9V+2uoaBnLtsqPHxe6qbCrfHRfx1o+Vg2M/2zEhiQnUD/rHjyMxPokx5HrC0y0pHI6OUlNLxPKr+9dTAPvL2FE1IRvFWXpdm5dkA2tY1+6r0BBmTHkxRjIyHGzK7DNWga5CTFtEiUhBBCRL4zd89ZbTYCBhyt8VLm8lLm8nC8TuODg2Uh98tNdtA/szlBSmBAVgI5SY4On1JrT10+aYKmxOnGoiz+/FlpuLsSNld2d1JW7aG63ouua9jMOplOB3dcmcedV+addfrs+/0zO7inQgghOlLz7jmLzYKrpoGY9FyWfeWi3hsIadc/K55R/dIY1TeNohwnCfb2OCK3c5GkiabK4NvLXOduGGXibSamXpnH/xqfj9msYxhKqmYLIYRowePzEp+RwwelJ2isPAlAapyVq/umcXXfVEb2TSU93h7mXl56kjTRVBm83NWArhF1R6qkxVoY3jsFTdNo9BvYLSYGdnNS3COZom7OkKRIqmYLIYQ406FaRamWiOvoMQAG5SbyyLjLGN47pcv9YS1JE3C8zsPx2sg9tNekQV5yDDazRo0nQGaCjav7pvGT0X2wdrKdB0IIISLLraOL+N8fH6Z3WiyPjM9nfEFGRK9LuhhhT5oWLlzIr3/9a8rLyykoKGDBggVcffXVHdqH1FgbMVYTNZ7OW68pK8GCw2qhzuMnLc5KQbaTbkkx5CbHygJsIYQQl8zNxT1JS89gbP8MzKau/VkT1qTp3XffZc6cOSxcuJARI0bw0ksvccMNN7Bz507y8vI6rB8F2QkUdEtgw4GTJMdYcNX5CFf6pAGxVp2B3Zz0So9jSF4yPxiULUmREEKIsNA0jesLs8LdjU5BU0qFbVLqqquu4vLLL2fRokXBa/3792fSpEnMmzevRXuPx4PH8209JbfbTW5uLi6X66LPk1m37zg/W/IFdV4Dq1mjvLqRS/nCJMdYGJKXRFGOk6KsBNyeAImxFlJjpdijEEKIjncpP2OjRdhGmrxeL5s3b2bu3Lkh18eNG8e6detavc+8efP4xS9+cUn6M7xPKvOmDGTR6v3sr6wlwWHB3eC7qMTJatLon5XA+IJMMhLsuBt96GgMzktssQhbCCGECKdL+RkbLcI20nTkyBG6devGv/71L4YPHx68/uyzz/Lmm2+yZ8+eFvfpiCz49G33iQ4L3kCAtzYcwl3voyjXyX0je7HnWC2fHzzJ9sMuGr1+GrwBrCaNk/V+4mwmspNiGHtZOulOh4waCSGEiAgy0nRuYV8IfuYKfKXUWVfl22w2bDbbJe1Pa9vur+iREvL9oNxEBuUmXtJ+CCGEEB2pIz5jI13YVhenpqZiMpmoqKgIuV5ZWUlGRkaYeiWEEEII0bqwJU1Wq5Xi4mJKSkpCrpeUlIRM1wkhhBBCdAZhnZ576KGHmDZtGkOHDmXYsGG8/PLLlJaWct9994WzW0IIIYQQLYQ1abrttts4ceIETz/9NOXl5RQWFvLhhx/SvXv3cHZLCCGEEKKFsNZpulhutxun0ykr+4UQQoh2Jp+xLUmZaSGEEEKINpCkSQghhBCiDSRpEkIIIYRoA0mahBBCCCHaQJImIYQQQog2kKRJCCGEEKINJGkSQgghhGgDSZqEEEIIIdpAkiYhhBBCiDYI6zEqF6u5mLnb7Q5zT4QQQoj2ER8fj6Zp4e6GaEVEJ001NTUA5ObmhrknQgghRPuQY0s6r4g+e84wDI4cOfKdWbnb7SY3N5dDhw51iV/CrhYvdL2YJd7o19VilnhDdZaRJqUUNTU1naY/nUFEjzTpuk5OTk6b2iYkJHSJf4zNulq80PVilnijX1eLWeLtXDRN69T9CwdZCC6EEEII0QaSNAkhhBBCtEHUJ002m40nn3wSm80W7q50iK4WL3S9mCXe6NfVYpZ4RaSI6IXgQgghhBAdJepHmoQQQggh2oMkTUIIIYQQbSBJkxBCCCFEG0jSJIQQQgjRBlGdNC1cuJCePXtit9spLi5mzZo14e7SOc2bN48rrriC+Ph40tPTmTRpEnv27Alpo5TiqaeeIjs7G4fDwTXXXMOOHTtC2ng8Hh544AFSU1OJjY3l5ptvpqysLKRNVVUV06ZNw+l04nQ6mTZtGtXV1Zc6xHOaN28emqYxZ86c4LVoi/nw4cPcddddpKSkEBMTw+DBg9m8eXPw9miL1+/38/Of/5yePXvicDjo1asXTz/9NIZhBNtEcsyffvopEydOJDs7G03TeP/990Nu78jYSktLmThxIrGxsaSmpvLggw/i9Xo7LF6fz8djjz1GUVERsbGxZGdnM336dI4cORKx8Z4r5jP96Ec/QtM0FixYEHI90mIWrVBR6p133lEWi0W98soraufOnWr27NkqNjZWHTx4MNxd+07jx49Xr7/+uvryyy/Vtm3b1IQJE1ReXp6qra0Ntpk/f76Kj49X7733ntq+fbu67bbbVFZWlnK73cE29913n+rWrZsqKSlRW7ZsUddee60aNGiQ8vv9wTbXX3+9KiwsVOvWrVPr1q1ThYWF6qabburQeM+0ceNG1aNHDzVw4EA1e/bs4PVoivnkyZOqe/fuaubMmWrDhg3qwIEDavny5Wrfvn1RGa9SSv3yl79UKSkp6u9//7s6cOCA+utf/6ri4uLUggULgm0iOeYPP/xQPfHEE+q9995TgFq6dGnI7R0Vm9/vV4WFheraa69VW7ZsUSUlJSo7O1vNmjWrw+Ktrq5WY8eOVe+++67avXu3Wr9+vbrqqqtUcXFxyGNEUrznivl0S5cuVYMGDVLZ2dnqt7/9bUTHLFqK2qTpyiuvVPfdd1/Itfz8fDV37tww9ejCVFZWKkCtXr1aKaWUYRgqMzNTzZ8/P9imsbFROZ1O9eKLLyqlmt60LBaLeuedd4JtDh8+rHRdV//85z+VUkrt3LlTAeqzzz4Ltlm/fr0C1O7duzsitBZqampU3759VUlJiRo9enQwaYq2mB977DE1cuTIs94ebfEqpdSECRPU3XffHXJtypQp6q677lJKRVfMZ36gdmRsH374odJ1XR0+fDjY5u2331Y2m025XK4Oibc1GzduVEDwj9ZIjleps8dcVlamunXrpr788kvVvXv3kKQp0mMWTaJyes7r9bJ582bGjRsXcn3cuHGsW7cuTL26MC6XC4Dk5GQADhw4QEVFRUhsNpuN0aNHB2PbvHkzPp8vpE12djaFhYXBNuvXr8fpdHLVVVcF23zve9/D6XSG7TW6//77mTBhAmPHjg25Hm0xf/DBBwwdOpRbbrmF9PR0hgwZwiuvvBK8PdriBRg5ciQrVqzgq6++AuDf//43a9eu5cYbbwSiM+ZmHRnb+vXrKSwsJDs7O9hm/PjxeDyekOnfjuZyudA0jcTERCA64zUMg2nTpvHII49QUFDQ4vZojLkriugDe8/m+PHjBAIBMjIyQq5nZGRQUVERpl6dP6UUDz30ECNHjqSwsBAg2P/WYjt48GCwjdVqJSkpqUWb5vtXVFSQnp7e4jnT09PD8hq98847bNmyhU2bNrW4Ldpi/vrrr1m0aBEPPfQQjz/+OBs3buTBBx/EZrMxffr0qIsX4LHHHsPlcpGfn4/JZCIQCPDMM89wxx13BPsK0RVzs46MraKiosXzJCUlYbVawxZ/Y2Mjc+fO5c477wwe/hqN8f7qV7/CbDbz4IMPtnp7NMbcFUVl0tRM07SQ75VSLa51ZrNmzeKLL75g7dq1LW67kNjObNNa+3C8RocOHWL27Nl8/PHH2O32s7aLlpgNw2Do0KE8++yzAAwZMoQdO3awaNEipk+ffta+Rmq8AO+++y5/+ctfeOuttygoKGDbtm3MmTOH7OxsZsyYEWwXTTGfqaNi60zx+3w+br/9dgzDYOHChedsH6nxbt68mRdeeIEtW7ac9/NGasxdVVROz6WmpmIymVpk3ZWVlS0y9M7qgQce4IMPPmDlypXk5OQEr2dmZgJ8Z2yZmZl4vV6qqqq+s83Ro0dbPO+xY8c6/DXavHkzlZWVFBcXYzabMZvNrF69mt/97neYzeZgf6Il5qysLAYMGBByrX///pSWlgLR+TN+5JFHmDt3LrfffjtFRUVMmzaNn/70p8ybNy/YV4iumJt1ZGyZmZktnqeqqgqfz9fh8ft8Pm699VYOHDhASUlJcJSpuZ/RFO+aNWuorKwkLy8v+B528OBBHn74YXr06BHsazTF3FVFZdJktVopLi6mpKQk5HpJSQnDhw8PU6/aRinFrFmzWLJkCZ988gk9e/YMub1nz55kZmaGxOb1elm9enUwtuLiYiwWS0ib8vJyvvzyy2CbYcOG4XK52LhxY7DNhg0bcLlcHf4ajRkzhu3bt7Nt27bg19ChQ5k6dSrbtm2jV69eURXziBEjWpSR+Oqrr+jevTsQnT/j+vp6dD307cZkMgVLDkRjzM06MrZhw4bx5ZdfUl5eHmzz8ccfY7PZKC4uvqRxnq45Ydq7dy/Lly8nJSUl5PZoi3fatGl88cUXIe9h2dnZPPLIIyxbtgyIvpi7rA5bct7BmksOvPbaa2rnzp1qzpw5KjY2Vn3zzTfh7tp3+vGPf6ycTqdatWqVKi8vD37V19cH28yfP185nU61ZMkStX37dnXHHXe0un05JydHLV++XG3ZskVdd911rW5tHThwoFq/fr1av369KioqCnvJgWan755TKrpi3rhxozKbzeqZZ55Re/fuVYsXL1YxMTHqL3/5S1TGq5RSM2bMUN26dQuWHFiyZIlKTU1Vjz76aLBNJMdcU1Ojtm7dqrZu3aoA9fzzz6utW7cGd4t1VGzN29HHjBmjtmzZopYvX65ycnLafTv6d8Xr8/nUzTffrHJyctS2bdtC3sc8Hk9ExnuumFtz5u65SIxZtBS1SZNSSv3hD39Q3bt3V1arVV1++eXBbfudGdDq1+uvvx5sYxiGevLJJ1VmZqay2Wxq1KhRavv27SGP09DQoGbNmqWSk5OVw+FQN910kyotLQ1pc+LECTV16lQVHx+v4uPj1dSpU1VVVVUHRHluZyZN0Rbzf//3f6vCwkJls9lUfn6+evnll0Nuj7Z43W63mj17tsrLy1N2u1316tVLPfHEEyEfopEc88qVK1v9dztjxowOj+3gwYNqwoQJyuFwqOTkZDVr1izV2NjYYfEeOHDgrO9jK1eujMh4zxVza1pLmiItZtGSppRSHTGiJYQQQggRyaJyTZMQQgghRHuTpEkIIYQQog0kaRJCCCGEaANJmoQQQggh2kCSJiGEEEKINpCkSQghhBCiDSRpEkIIIYRoA0mahBBCCCHaQJImIaKYUop7772X5ORkNE1j27Zt5/0YTz31FIMHDw5+P3PmTCZNmnTB9xdCiEglFcGFiGIfffQRP/jBD1i1ahW9evUiNTUVi8XC0qVL25z4PPXUU7z//vvBhMvlcqGUIjExsU33r62txePxtDi0VQghIo053B0QQlw6+/fvJysrK3hCentwOp3n1T4uLo64uLh2e34hhAgXmZ4TopP729/+RlFREQ6Hg5SUFMaOHUtdXR2BQICHHnqIxMREUlJSePTRR5kxY0ZwBGnmzJk88MADlJaWomkaPXr0oEePHgBMnjw5eO18nT4999JLL9GtWzcMwwhpc/PNNzNjxgzg7NN7v/nNb8jKyiIlJYX7778fn88XbFNeXs6ECRNwOBz07NmTt956ix49erBgwYLz7q8QQrQXSZqE6MTKy8u54447uPvuu9m1axerVq1iypQpKKV47rnn+OMf/8hrr73G2rVrOXnyJEuXLg3e94UXXuDpp58mJyeH8vJyNm3axKZNmwB4/fXXg9cuxi233MLx48dZuXJl8FpVVRXLli1j6tSpZ73fypUr2b9/PytXruTNN9/kjTfe4I033gjePn36dI4cOcKqVat47733ePnll6msrLyovgohxMWS6TkhOrHy8nL8fj9Tpkyhe/fuABQVFQGwYMECfvazn/HDH/4QgBdffJFly5YF7+t0OomPj8dkMpGZmRnyuImJiS2uXYjk5GSuv/563nrrLcaMGQPAX//6V5KTk4PftyYpKYn//M//xGQykZ+fz4QJE1ixYgX33HMPu3fvZvny5WzatImhQ4cC8Oqrr9K3b9+L7q8QQlwMGWkSohMbNGgQY8aMoaioiFtuuYVXXnmFqqoqXC4X5eXlDBs2LNjWbDYHk4yONHXqVN577z08Hg8Aixcv5vbbb8dkMp31PgUFBSG3Z2VlBUeS9uzZg9ls5vLLLw/e3qdPH5KSki5RBEII0TaSNAnRiZlMJkpKSvjoo48YMGAAv//977nsssv45ptvwt21oIkTJ2IYBv/4xz84dOgQa9as4a677vrO+1gslpDvNU0Lros624Ze2egrhAg3SZqE6OQ0TWPEiBH84he/YOvWrVitVlasWEFWVhafffZZsJ3f72fz5s3nfDyLxUIgEGi3/jkcDqZMmcLixYt5++236devH8XFxRf8ePn5+fj9frZu3Rq8tm/fPqqrq9uht0IIceFkTZMQndiGDRtYsWIF48aNIz09nQ0bNnDs2DH69+/P7NmzmT9/Pn379qV///48//zzbUosevTowYoVKxgxYgQ2m61dpr2mTp3KxIkT2bFjxzlHmc4lPz+fsWPHcu+997Jo0SIsFgsPP/wwDocDTdMuuq9CCHGhZKRJiE4sISGBTz/9lBtvvJF+/frx85//nOeee44bbriBhx9+mOnTpzNz5kyGDRtGfHw8kydPPudjPvfcc5SUlJCbm8uQIUPapZ/XXXcdycnJ7NmzhzvvvPOiH+9Pf/oTGRkZjBo1ismTJ3PPPfcQHx+P3W5vh94KIcSFkYrgQkSRmTNnUl1dzfvvvx/urrSrsrIycnNzWb58+XfuyhNCiEtJpueEEJ3OJ598Qm1tLUVFRZSXl/Poo4/So0cPRo0aFe6uCSG6MJmeE6KLKygoCB51cubX4sWLw9Inn8/H448/TkFBAZMnTyYtLY1Vq1a12HUnhBAdSabnhOjiDh48GHKEyekyMjKIj4/v4B4JIUTnJEmTEEIIIUQbyPScEEIIIUQbSNIkhBBCCNEGkjQJIYQQQrSBJE1CCCGEEG0gSZMQQgghRBtI0iSEEEII0QaSNAkhhBBCtMH/BwcLlszTBPlCAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Make sure 'df' is your DataFrame containing the 'sqft_living' and 'price' columns\n", + "\n", + "# Specify the column names as strings\n", + "sns_plot = sns.jointplot(x='sqft_living', y='price', data=df, kind='reg')\n", + "plt.tight_layout()\n", + "\n", + "# Save the plot as a PNG file\n", + "sns_plot.savefig(\"jointplot.png\")\n", + "\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "#Use named argument for 'data'\n", + "sns_plot = sns.jointplot(x='bathrooms', y='price', data=df, kind='reg')\n", + "plt.tight_layout()\n", + "\n", + "# Save the plot as a PNG file\n", + "sns_plot.savefig(\"jointplot.png\")\n", + "\n", + "plt.show()\n", + "\n" + ] } ], "metadata": { From 1010e795f597d389a9c6aad81500f158b0543f3a Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:43:42 +0300 Subject: [PATCH 11/98] Create jointplot.png --- jointplot.png | Bin 0 -> 44292 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 jointplot.png diff --git a/jointplot.png b/jointplot.png new file mode 100644 index 0000000000000000000000000000000000000000..9bc4d447b1d7b8b8b69d2d55ef4401a13032950d GIT binary patch literal 44292 zcmbq*1z40_*X|%G4bl<<0@4D5bO=ZaNJ&U{cPWi@8iWodAR&#UbR*K8QX?%eNDY1V z_>w$knJfG-!YPnc@`k1*}K~&8=T^(IK9qr8Td0V-A*ts|h@CfrfFMer z%FFBY9~bbrxZCgwR@M}QMQ*z)>U%&SL}sWzXoXS*b`VI3o08mPZQu0YKVSMA>b{h^ z9u_%W)USE*PFEy)_r7pK)f)-R+$5F}vN0LP+fItDh#etSePug#_K`6eLxWGAg3z_J zua;=Iger_-+=T7XRlRDfT@GCRDO`Q;tVahHcGH&_e5|4Gc{Rk8mJjew1v?mfr|xSiU-&`X@U3eNPN!Y_p;vQsDy0 z*R4U*-Fl7QPJ*dwa&p!8A3}9L?q490H{#KLSzFkUk|>pQ5+w_LBa9z?(h=r*jVn)^ z{;Uc-v&N4k)9fof3(E2ha9_6wtiEFr%%R1g7=#r20PqrrOwR1Pp_*1$H@HzUsY#paxz@1 zal>ul!khx)dQ9ykT=z5VfyobO3`@v#OA%dajU@@GBq6~JayQ5i%p;YU==Bk=!XY$%gT5h&xUf5mnWZ2Hg)20z1Dvl8avwB zDLBYkydRC%qQOVf_@39tX0@6#!;w{g_<+|90Gt8IAdc*~xX6T59JVn%2E?#3yCx^_X_Yw=LoKzJL=Y3`tA3@wRi0^QXdIi3 ziOE2m3bx)i6?r0SXR6v9LLUG2<<$(QLF&pbW!aN1$jR{rBD0ZRVeVwzivail9vxU+ zSTw2ICrc6+GP7WuK>^`DAT|y%AUifgANC|%xw$;O^Zn0rI^c`lVCnWCXDNufUHYVb zj-Wv^?@KKzl{=Y@*< zC!$t=Yu=&Q0^&!(Cc8Vm4A;};W{u)S%uGx$T-kBji=b9XjNWP6c;ynK=eoOVWND_E zEQHPO9|X36mRQ?Ippm51lqNw(4}(9Y*eyB_=qyj1uwG7y6yN)F zu&IF^gqXA$dHGARCiMx3992O0C{5g(KW$Zt^Yo%L_$6h<&Ai8UrEZ2ZNw0%@-j;;( zO8Vm)3=ip10{Of1PcnburEB75WMudvrxRCp)Q=z#ny(U6YDBs(t=39o&g(x3;wYcC zJ`5hd+^7G$Y5oCwUen60?d^_@I*FLn3wKvfP8ufGDWNCD%_T}+U1*$^E29=X*E?@z zqYOxcPI`28{Pckq1jEHtJwBP~i#3emLxgQqwNxkhRX-aMt;V^MLJ;Mx;=w^TYu6m* zD3_`Q2ODx7C(|KtFT6*;n5L*XJ;upEBT}~<2j+4OS2ymt@%!~GSr-*8#lW81RM6WU z>je4k*;DHn4<0!hSg-mF<0ss?If>+5-Rm{}vKI=Lwa1Vh=ej%KE1Ztg;8g&n_(aA45t#NGdysI z9Qi(>`Tv?9UWpv0D?RxNmM)6Pwxf92(s4CR1c9iAO^g zTq(1dG^PM1HVJl@leN3`WT_&y0<9#5=kleq41}^g&eSLu%>;+bUIa2tH9o^aVe=#v7p+U9j z{Lr!H;S+d(i63b|9~TJTqqDPpKT&>KE$rt^;pn&ifWJ&eR`C<}FI_(o4`rO?64v)GZaUshCR#TxL z1cdIYIlMv6bMCm=dr+ZM6D1PJ9~kD7u<_$HPTm61RE`R!HfDj1U2*D5qoHLUa5y$w zuR?gVQlP%uy;h9xNp%}SQ-0t7@>;_0AikGSwsHy_1_gCQ{`*f!9jQSiWWgpaJ)t#S zEieM^UE3FxH091hh&gf^ZjzAdT*SdeR_}akH9GI{{o-ah;6eITUG#@lJ0DXC%`QSP zAosj}-y8elnXIcVp=!1qlTS8;!)AsPUmzBVNC~{#P8&j;Ox6{XS4kEN<_2^SK)qWwcZ}#0TyKlrJTat`+*HDNh z4m>YYdzShLrRHuBX_y?B0d59APiih ztuAv18{#Qv6h<-axF|B&R6^h)x(_w1vQE#DINjrtH=yr zb-cPjESj$TGX$~&=d#a?wqgvQF6DC#v>-HF$ramL)sm73oeo+_MYenN3S)c#QGir- z92&4v;D-h&ctleuaORrD&KO+7N93Z%?7C&gU2)&lwyo!4KL86H$1ZYj+(^8ZnJEYM z)pI>?Aao-Ef2DwzK9a2MTfeMy(Hy4%^672Eug=s4{24O>g`;azW*8(y>*#lAubX=xB3IeqJ^@mXj)%Rxf}Z1`qU&jr8kq66<1iO9zVi5uB~nE!E9wF9wYpxgx>{C*8X6g_@~ET@%@eNJ z@wnW=OuF0j0xMHeG_D|VuUqQcl9#3f>rr{!O350Z;Ws<(p

fi;1F>g2!@lvG}s% zWd3;vsY|o**>SPsFPM?L$7Zw=ugDClaQs`SZs|=ghG}Kshp~)QY?Fx}t{QvVK(U&M z-#tR?=xQR5IoTJ!9STECRXxad4B)o0wk1x47EW4JlrG|!#V~W?&_+!FumkW_-y{6P ziGp@SE?4u6KWLf~U?G;o2(ulQ@N5lRYUlc2ybFWC;EW})jWZ*(uWfAJNaHuO&|xQf zTC`Dox4&cbTHlkvTA}sel!(z>*%KOGQOh2ekpFPVq?L4Mey6gGJ3%ihhz_`gxxez$ zPi${HLAs!qn)jg1Cqw?)5v#bFxecu=m&v*Dtw~jQsR`+qX`8DVv{h=oMIFPKrjjdU z#|*dkt+YbOdTr7@WrXAX5)Ti!68XI|j0U;B=v!R9u#ZjKw8f?L$v18`6P&7>w(!y- zdnc$RC#OO$t93gMnz=*Mfj)e??2t$=KXq(IeJkiNqDGHW*^D9a7e!bFhMJvAgggHm z#`v1M&sUNuv(QSYG-vT6NWy1lBA6BY-nc^fThJ)6&Lbp_2>g7{H(e14^jlbvF#M3( z`tY8@ke;ZJ{KD|sd@MOxtd5kB3U-pd8!<~|y@+6T7A|JwO$wvg`i&DcX+GInkgBp? z{(~06M3U$zdpudK#kV2&WjBc?xl+4iCf+A8REu5_(HX*i#(=r$l^{3(|d+pATh@*NpOB+EFQt~1qS0X^MUivw;tN*g?So^5umfzj< z!(*6cTT*xs-UoSviwZ84=C4kDgo`XjD-Q{+8PkmmBL)WXB{S{~q4DFSrZTcy2fq0H zH=&NK=+fxK?L28yxr;3b$?fe`NbmsS;hURmnO`PSzPrm7WQ#5VMs)Wuln<9(MK^zH zn3xbj0DkMPbNJrMl^jHe7IJ?6N|F7UFJ<>|-7h%#Qb6B^=pP63f%*9BSKO9(-=^Hr zc-$@lgGkpe0WED~7wKnbJb@~^9_t%o zG(Ir<=}^hcJ2KjrlqK2OW=fYPBhoMH81=_@=iq#4~;HU<~9a~Qz>FFjc`D9DF-#7xKcw^%A=0| zABFRO>sBt<$PuEG2;Q($)>))ed@ro+>U2qJ_cXhvXG8K-B;Bot8YdD}U$@cuEbv{# zvVfc{jf^AsFlpT8NKH@Q^KBzD_J#8|%+`y>R9l#jyRA(+Sr;6) z_I%0@0dJ+Sd~|HWr(J?d}>V56?W&8i#%?$O@z}a6lbluCep{qZIBJ zSdeGR?X^z+yACFtEsMG>f5;78+cAC5)>0{tyqSQ$4fVmzEF`cb&4>8t>JrCf_?=Y8 z4qjefklV){ zP$Iy#D7d+~0oTF3c(vyPM;)!?&Dk*g@^DxoC`c;sAlAebDAxBdZ3#b*jHh9fX<~A6 zCD!DUDM_<_w|0JHWF#1y!N1~17OK8HMo^~}P)3_v|4F53s}FK+IkPUUnM#0fst5jg ze?Fn5KAB>*Mb7zrbEmx3cz>>@7%7=RFHsb<;S;DZJvq6x)}Oj_+O#2Y-W7dE=N#a) zD0}p*%8(~j<0$unrl!dCqoLTN_uc;>lR_}*VAWHKtnZg^GlO0JUKQ|eDvDqoK13WO z2GODnAZPT!ROySz)~or}aLuBeI`uqFTSrGZj$|18uaR>5_ax{}N~&gE{kA#C;|;iN za<#2nX*bR)e)j8q{aVV4k(rq&qCmv!NkbZxk3P^LP)(FPf3SEyRkzCR@)8fS47SzX ze7YFRmgWByhALK=XbOsYJ#-D-Faxg-vnU%wB~KSTe1E-FK&%V3e*3*MUmI`9FS5-5 zt`vRg-=kJqB&N!6wW;t{@jjwRw;4CWtnDe*~xL8<7}vUz_!+5lQOEV zO&p&2qEqv2E#UNLq}0u!RIk)ET*`brU)A?y*5)9aC;$hgTGzutp+vuc`C7Ai?}OI& ze*@hc#rr^C53^KI<%>2lF2g`aR!czv`}z;>4Qbs^Z{VC+*GB~h@h<-8yv;{rNiJDW zSx0APzW=p7{T`d&zB;9LKP>s*xF3au^7WGNngOb73}_ zFR}ibSY!|~a?%i#h9slHIue;Gd78*BHc3=G$gZoSEPh_v0d^UTG7y|_8LbwHIzmvi ztYc+W!gU0p8C=&9r~-{Z(xUgpNYw_gh^TeE|CLyLHaYJBtV7wZ$(1WQB<^*J9u9zh z(#jgURwVJAC_~YyvIvr@b(RW7Z?>y%iLk;caVhUC)h+K`yK7L~ES{s`E3N>pssvX# zFV)`lYj__Osaic9324We@r;h$d2fr}>uY=7x3**`_7di!Z0Gnh5Mnpq854oSl!C^N z$&?a8PGI)giQz>ZL$D@ZEhizj42sf(?i&lIbcHNJVHS)yd<}t0I3f8T!hsk-R{cD3 z&Gu$7B3-}Rg0E3D==x9To{$}fu(&^o*%gc{9PuG>0>hlSm4wHvMa^NbcGOl5%UCEv zt#E_`&(L;j%T1L+Qf4NYYiynM$>RiHaG8H%FRFohDzQNo2NW^|zs^+0 zz{QH3ejjXU_WWH*O*sUWG#e^HGC#+c?8vf%zjE2^a(Nt=r;4YmOzuqn-EC1!zfkpR z!j6yy{KqRxN1|rCyVUcYJ;}%Q@bkgn<8p$LgWSlIGgV*Z+pJ4uXi$`&oKKDZd%7SUq@Y1T7--CZ* zq3FohA$X&y4cHxkQ16gv5X@G#qO{uvlxb+v$&Ud*>+5TBBW-iMXPOe2|~WWun|}7QE-3P;NKcboaZkYe4)Pjq7>$nK!P2?%XjrQvc=?be$V&I#QEHe_BC(Ox|dw4S2InD=SO@ zgi}@9Qiq&}*DsdNDV&=Qc&`rDaOxjedUL^pRosd%<2cRSTm9i)GEtE~(`p_ny) zgY5t8HT}CQ|C?>9|My#2KWC$y=5GxDpS#zVfYJf7U_bD*vC?stzssC2-DmNo@Aj91 zqGm1>(9syM4@9)LKWCP)>GplG=jP|#uFp2$Lt^{s2;i^s{2ytL ziNK{9;*u5x&nHJb5zCJqe>RW1@d7 zM@yhEEvTt76Z3$)-0XkRQ?Ez)%RvXkpMKuNSF?-Fer`Y53$*P(%Ro+U4Pc0?t*mQy zdcWU%3vRu1Gp#{Vd*3$bFE@g&*_<19YyZ;;#_}}a%mWEgV6JLd@@~+nPf#Q;fWY-z z`DsPp{wl<+$Y2};(t7-&HGJv3bg2lKHTYrGIp*U)Jr57YyT8;wSq;i<6M|@BQ)<(r88uwk% z`>M=&ANC@_;$N7?mK2>DyR4jq|3^?G{$0|tF{0{Zi+^hni7y!6?QtZ$O+%mW!tZE!@j*#6 zR99z6nTiBU>;Qk-S;-=&9Sam~JH?(?*~l5P>vvJn$jMhq!c6-@My@8N*Fz3ktahU3 zBx<3eXCenZ?Kxq4@uMEpHC5J+5+;Rf!wPGK32(~CfhtBzK9pJrCU7$rac2|%$45hz zbC!QEb1ksL09G~_Gb{QWK0}%_*O8G=0)&KeS|94gTc||Y_s(R%^Wy3@qHLd&B}{^Z zQ<3vH;avWO@bmfluPv*8*UmBM%wT1Lk$bq6Jg0i$4!X$zti271Ms<6lqpSxFX^S(S z=00W0ne76=2BuT>vZUwCLrz=e?M*^;{c^%Y`0x%kbA4}yw%6a~oS#U?mK1n;2#hhc%1+*_1dAJc}k1ZCO2u%N9 zcl{id*9ML|xO7PnMx1-CUuphCFcn-I46ZGt&}m+4%U4Z9RApV2AeSP{wA}>dv^jC( z`SAi^q{^M|ZUN<1sox>dc`_;c-VR2-&of&~Fkc&clkxP=I{v6RY9EJ@s4A*C-)^ZT zK(EH0Tup2j+O%V|-_iaWo6Y|x_lw$3m6er9bp?f9@v@|-q7d-pb?mH4tvd}drIJCH za0cf0eamqILv07}-h(amAR16GksAB1U~;{vbzImZ?(}0@Ol{Cvy(5H$kAjuK)eDzasGJmH%~#obSn$@T+iN`(e);j>-o~ARi?9|6-nL z2@oTs6AjA{^I6?>2@(T*7pTeC|0Cv2K>^#a5^>jA8r1r8b91g+d8wz1?ifD zR$zUScrB0*mI6+74m$x!HA+_G-Q9vUsjd2Vwxbl4;Xx?+-$p&29fvdnay&y5CL0+| zftvWp5vl&amS9XUEc#(k=e?!7xNy6u{Rzr0IdR9FX303;nXb$|GE`Xx0-3H~v>cQG zg-$%A|BGm4@wDqWV#lz9@A0H(G$~{=^9bB$ZTH}eF!Ek3vDD;y_}sGd2~*D2$^k8~ z|NmotX$l1B^k>RdBk55TrPx4Mytf%g$f{gHl?aN(;=h*G z>-{g{pvw9lyls#Oorld)v0mBYUZ+ck9Nv=$WJUkb2gxAp|471@tWT>=5n~P{D8XR= zEaYBOQyL_ey&f^JcmOvK@S{VOalnJ3tP@ZI#s60Y8k4~rYg$;#^>H~|u>2*#^HPKG zPE-T71=-EJ>bG>USi+qUMUnY`XB_14rs7~PoB=@1y8OlVm+{Iv8?afvkc52t^5wS4 z?uaWTj(?!2ZtA2{h>7c9W>P20^+o}rv z3_}TxqUhKHjQ+*!DS4B#!idJVjs}@Ua>DI8Y`B6bIAEh{h`>LB8is>vOLB4o3wE#8KiVK*(@oY3{UFb4 zUiM{ODm~eUdzJgqdG9YuY+KbWxZ@cg7wN9#GF&~t@BGj=7DZ9Lb@UkK60Wuse$0{- z!GZ~JW_k26$Z|E*;jD}pnqMaBQ`tzPV|=2vcXr$Wd7Jo3U!1=8t5ttbbGj}2gQLgF z^Ynl?48ykiDV zMp5Lt_qyQa5oxk8Ye%Kv&L6(@(o_DLG+g<@A+Cv|jJ1_Xw?l68%5Ly(i@f#H_? z(I~$WFdmR4l7PbNSPXDjMFaid`Q(C2*k4i-38UBF@1B87MpY|O-6b0pp{Mp$8?|0Z z)lf&7Q6s{y_0$g>?GujV4u;EihUL6e!t&sK zv2-mI!sv#j zk)TH15TioP_Vl`nlbUX}qQD^l42!wRisI0vlI2hG8cqG0T^+%Q8HQhWxNgWmd~3hS zmF46(-=T;|a|rP7{~Wx4Ez|nlX$Fb78^7aMPWZREa`A3m5hrHuHRn^?@B z5UD_v-j+6G%r~u)$C2jESZ}32Q|okB@*rA$p!-#n{m@Ks(sxnhpHA!ouVZ87knz;% zmA9AN0=?6aP`K0WHt2nW9a-TSp*RVNFR&s4j<{#v0_OK%Vxsp&sguLo@`DF8+CT3_9CRNg;f zP|rTPD1UIR{tTxK?TFRMu%Rq3-{JLVGC?m-MeS(ijzGf~66v zv)%z+9qaY*8qk(0DPCT~YYQ-uMJGOU8MyV>R?`5kYE%Aeh+vefPgFAE>-)$&iJwY; zpDO8UzEEB>8GbMnJGDHRrpsi`y(sxqYvo`eidtd4+<%P|SrBy2_ItjL2;vG74qTSu zoOtnK@pK3TzoNX6G%!Wha7TY8GgLE}<|0OvAsxT%n9RK_F`sWb;e|P)B1uyz3&v;m z<+GytPHkemkDIp9g9kS9)kv!hQycb;6e1OnhW#vYPJjRI(#nv92L^z76(Pfgkm;-% z+9`~yKFB>sY89rZ$vb`Z+Jg_E0jqbi+N7?=rB<%?gQR#GfAd4yauX$EP#<-JC>^RE zbUt3ypqO(uMT+;>F5Kcawla2|W!MDOd|gd_JM1P?bI-3Iv>fyrxe|Fs85vcn z!&vD&$p}B*A|R=<-uW0s5ehUjB#VyhvB>bP6cgE-p04R}gR?lef%5$!>+C^%_)}>eY$M%_D$4Xq#@X_HAr)FkRp=uaGo|%X=e= zjLQzDM~lRtYC=Q93PP=uN8j+3MaCxGVtCm}?Ylpn8Me#O_N<#(I8X31L?*xM{G2*wzRJ{UQ$qgj&Ua+Dj!EvsYv8TlSMZAc*g5O*1VF*R)T`IdbN>}Q6RP7s zHxl7Iq{f_@D51>Z zKcaoSRoO?01xJZ1Q!a@F826y$8QP4<*F=(0D!k2P5X6i{;tFa;@wF84wT3EhFBWG` z_@{?1+?I;zb2PF;8i=G&IOkD;Bl0XG$9Dz;!&Q7udxH8RW_;fD?ELwOC=)E?OUGEn z?uy@?IMKJa>emOn7ku5Yr)nluk$haTIegaHl8#?f3W7}{a{y}n+XM}cJsa4`41NT)=)rY@S`kw>?dp4kw`*>eXOjq#!8z(D{pU* z)H4*9rl!aqFrS|L#w&oPs)s$|CjcEy*gCWE#3YLVk|57QxL(5@G>-*^~OQsz{JMMdyct2g5^sD(1#@SixPSuoCI zCSF&+u3$gtE&myOm)H1(cW==`Z%qIL@A2nl&iESc%2oBMf8ZMRF&?q<1Y35RS_ynB zHbRxi^GLUScm}dt1+I_*l}Cl#N#C7s#Tu0CH@5F(J~7&7Gn(_vrnw4qtfzn%LaGas z(x|buDKuGM&D(zOf?1>5Vp1=&v4xDAYF87Be=bjd3ISMal@VPNYpEoh*fu6POIM*f z34fj*OMsBp#c((P(xxJzw9pJ9{i0Ohgpz|1&VExNy30q)iD-5fnp}!)X4W9#k7%{D zRG{jQRo)t?ucRc&$7Qd&soihxQ-e$U6-ugp|1=dxW_elz`D@4qNW9EOm2?wk8UYsAcy<~ zXHhJSVIQEM$rc|$+iR~p7auwK35$LRFPE3XcO32=ZRY}h3CI$&3)~bkHVMf!%h<)@ zymwx_6T|VWk973rUfM!@_J4Qb_4Xu+ij)c_09C{~45j-{C_%{3$lM1Gad}fO5N7nBC;Zd}$gHrl!z-TJoY^tm+I}nT$kF-Sm z5bA;E1(yq+Yl?K0P(|?XeJ0@JbmM=rKdIfD3=LSn| zo)@k7?x9Ax4HeN?i(zSA&!YtR@Tg$68cLRQ_+pZdy6ya!_>7-OXyfVV2JV@E6t2sy zbX27NnWmI5H#BXaPUEV)RLf`HaYFW#dZ0ugF9MEDbej>lfIl$Qm7>T+=^>5p!t{nFZ~@Sc{YIzCc6B!N*|j9Oqa9FWoBYX#KN4>f0v*ez&y_<_3lH6z3@K>jXDwNrJe3|{8cUuPZ# zcmF(mEvCv0^g8;0yC*>}he{K-dzn$|6YuWRms-1ESfJkX=T~Yv4I|Kqxbd*ZTfAOV za4Y1EpK5rRV}{NowJl_>gl{E?>Pf6mvYl2)ee5`{TsNQIww&5U;*NYs9*$ohwlrgZ z>viz6ps`~2qlM!9Vxb8D!aKvb@)@4hNeo`3{46l@?A1Xnm_n0;ZkJR*wQU^tFACyZ z>mDnkAVbDexnr?^up5`hCcFFP!r~wEyG)u6o}%iftGswa~zMB?8jkjTyPhXs8}kIjyI@rdiVz{&rj zkLS{Kn(x;Ff3Di2@~(X&;e*2Ww%?_-ph-84PqmFe{IY%e{CjD&Owe2p2=YmU+cEht zY#;t(2{w-bp`XJ(y3@qsQaDuM^P!+|4#gPKAJ-loZ0hq40#(PNC87RwFHk6pud=KI zcr_*}GTv@lTu0OOrilC)0yW-NQg3{ag*vJ&y}*e+bOBl~P0B~3R8_=}s8fpK>o!1N zVl;=^P8btZoA!}E02 z@Zp&mYapo0Jw@dZ*Q=M{7X&Nqq-X@Ifp*Ux;z&ettQMO+7z`0XpU46ccEGy_`$TlX z?A=P!r(_9d>!F%7MEg4mT$XLR?P~9{cwZ%k<5Ov_t^`~mrF4^8x%G+`_7aCq-~Xuz z#fmY(?k5YzGR%AXy+IgEk-*t)41lKgx(1J(>2%Z_GF<4MNpkH@%5}qtlILEY1C*N}ht60+#^qM|N?73|QhAw;T~GhKQ(o zok>-l`8jk3A0y?bR!pTsRq_duP=$(Xf+sw=%x25O2-?pZQrx&~Wno^PU%e@Go z@-n*7Bsj7p6xKw3tNBSU&_dLz&+nFSjvn}z2H9$*SUM(#&2Q5s@YI= zsJ(ITdaJ;1#TPfa1kc0)nHfPAY^R8W(LRM$e3A5qd%>+ zDJ$%4WTW;X#lt*SZn|Ap@lYV%6hMD4&=z>PRhQY_R)JpXb&x+ZBufZr1;iq!T4(3Q zc`PFqb*8dq^lS&ZrS&iuB6q|SLqyah|MzC-fB zYfaw0fJ+=vY<~FSNmGLSg71NWp{ugTEc33f@Qgk%!tg#z1q2iD65^z>nLlueO_ka9 z^cfPT zhzp8xS4r951PO=3Ri_@H(n8 zWL*O=t6cpY$U?^#}|Hd{>zmVvV zm6qEWOxOZasvC^$9{k`ehd@x%q^R-GdeAK`{>D}GxB($iKXAG_mKFNrN_v8qQZpnZE=FN--%pVjuP9shtaFReDPE^s-Xl7B7ZLfmbFq?<$ zN!C-{gRKvJ1XX=gkDTwvQ%SvJrRPU%Yr*=l^6eKnKK}veiEZpr%at}|%gq8(gDv}= z23voBoM`kfmyYh2cbrH0pH4x^wU5=$V1f>RI|(xtX6TURVv{S5zazpQZ8F%fFPrP z^^LOC{|lwveE%u;Ex=yLUfEgFGQ6fXYLZ};yQaw80dG9dR2QK|m%L6~y17*HBF{?L z!btvS5A{yj?zoGXU(b{ELvpe&{NV8SYK~WEyH)D&6e!s93_(fX2&~U3I(usrQorot9eq%!Uh?po%IMY*JV%hKgBmM;J@O#8)RHt{m zLdqc-<+FgnrBcK$#Z4es`&3QXVAj8UjNAJvpYe6a<|Xo-Z41%h!RPo)OJ~$p?rP&c zS=1^m<)eW;fBTZzoiY5^p{Mn5|(wHFy_<;8fp7*2;Q9pvmi)_5mFCgyX< zy09uZDlm1>6uoHK_vMxCT(h4Lia-MIyns=AGcb@Oyi-#3qh$~9`-m^<0rr`IEB>6+ zvzL3@e_g@Pv=O&}D>g@J_ufX4KlghuB3V$=bAaNMC!B<|Aey(#R5}hqBa-*Xr1;n& zDYUb~%Ik&?=bojI!(k=KO4uVMpzuD!Z%ESPC6e)|E#b6yB9p%gF&wHsY>^?W1(FHOQJ9sg@ zdNR@sN582OD;v-*WG;>5^ayl2>>K3!)MpHjM&A!SHv4Sr|J6ctetc71tegJXi)?irWz2A3Lns@+X*9n?>%xN9?tN4yJs{T|G7}N>rW9*Gc{K- z{`a5wf2yq}Q+!lsi__^h=X%Bq*yR%R)?bmgN(D20t%!a0#SOhD`q)90RL(81-Nk<& zX5Rkc&SKaLQPx*I5qdbr+Q%bgxZyG3%aq2xjG17T_HSpc<#LTT(eLL!x>b8?)yO1z zk#PLm?4b!0BGaI9r3IC1>@kJ1-TkCUFyXz8)*9f#U}%!dZf`b{^j-K`@fnOu5Usmx zr3LG$ZBjl{(17}Z3WB(i!vFa=MAWE~{7pC+edRw}58=sw1|D}(ca z6me-vt1Rv)ZMtfd)*-u~L*sNzLQDN!n!FaqvEY<~BbjN3@#GgS&Ekj0`->l#rAkA3 z3d38p5gRkQ!7Q)cxb%A!Hl(qfj#u2mCs61iD`43Q$stS#J+x2({1NI`2o+_zHL3P` z(R-v}c;#%x2i%F|F~#)-Q+m_BEQw)Vz?3xC+W>lPqs*>LH5F7o03|}%ogYzvvA>^z z7rUsG0jw-Un4kwLNUkC>hK~^EbAfmu%-gld! zCzoN>3{|oMHm@a9T;Mi_&{h&wicrL8mUpQ6{<~ZW4gN;w-}B07_rDqw|55hN#_e9! z!~w4hphjQ2>kh@kgMv08{&^()n4fXH6Fx&eKXVn2M}6k}?Xp@!!ApRE!(&v*pQpDW zJ+52xlca{8JFrlxrPnT!ZWt1M3-xu4zp5z~Jo`YxX}YaIZlR>50U|SM(CDJ|=3;Yi zPu{|U8AarZBihh?uXapK2CX!b<0aeyF;yxVn)_P6UKu+?9wZAQS$&C>&iVyee^o6q zqv(agNHum@tYcbbhX*Eb0-Mq{S>98ox5vZ;)Q|CAe>TE@8h+-38D562R_XT=EEQM5 zt}tnuJVkwFswrLIom%l6KEJdnAAxKW)1u8&FB195t4*5-UP;pQ}vlgy_IIcASU|QJ@1t#sE4T#$^ZC8*zFb( zB{byOblSE@y4tgkN^A#T2A)ufQR8JxH>XE;X!7rv&kHCV{Jbrnak<{(z2JIaP(mlL z9VWD5n~yB8k{g_alBjy3BqXUa2NY;0!0eJ9SJsZkKZV!OKP|{!4xES@9)?G{I@%t& z$*+ul7OZFx(e%FwuM65vM)P0q^#etu%bg=dVGg=(CSvg;e*!sfk)kc@Z=$)As(gxZ zWSb1=@-@9Mdz=$%PwBcCBTN6ia$UNk zfPil__6l0Z8!+dp8LZ~Ynn1}0!r*{E)z5F2lEu7Kex_RV>-!hzeLCvz%OM+$ZWS)R zV>`dX9X5Eq3S7-+A{gaH>bY-d3Fa`VY-7TECh5@H%bti^e&TUlk37c8)xnRxOtiQ~ zL!;3jMkXl}K@!H1$5tx9uNpmHrk^-0iQuPI?}U>nlUxi)4dIAH(9gg!c zQiS9WdQ|(}x+7{?s6W})NH?42R7|{NdhJKQ-!;ri<@HCb+&F$`*hIp4Ldj@G&SF4j z=9lXKAnPr|qWa=~?;)i@nxQ+S1?iBMP6_FfmhO&0xGHMLcyk*zv_IXB4~bSvMy%pUBvC%2>HtkqK+V3 zk^fHgAnfyVum5K6*NeL!0J1}E=*dmx6?L~P+>v*Fi9mNv27Pb+q;Z5usGV{!IFqlVV8Dq^8W05&c9b zyyd$=YcRAJ%c@h;s;HmarBr**WwqgLht|;nJ2vSS4sU$PKjUsv*k&iLAA_ zPG8N97c1QM`ZaT)4!AJU@Q)^SsNDgFl^R8=;dtc<$O3EZ@j~zQw_5k7;h8Re6~z$k zi9tA<#N|rHHo|OJem>Qv3YR{~1EKmo zZD!KU!oQ|Wxrp2jel}H@(vmdWf2{Tl6}>nx+z!`ipT2X;fC>pyw1_RC- zCIFcC`b_Kxhl;C*xsfN{nHtQ1-{L(tNa;OY`mIP6i**vOezFI=B_bKZyn*Wcy{W!~ z`F{=CP#V0;u)V*qa7pf0H6lq7NA}k@kCMxR-+vG|)#|{Z8X3iG$rURxQ$$$M8fi

Ke_uG1HGWrh@MtGoKbIVpW)R&~tQLybF4CM52yZ zr>yTlvRYBF0R*m)6iu{D{ESU6#?b>ged!wD<-}*A=p~aO zd_P{4rBlQDzD!%)n*&)Uuo#1T3Kw0={SW7{e_S0a9xvmfzw;DCwKxpQL>nA*`@`6O zGbv2aUdQ4GeW7ayF-Y4G@oO#y@FB1ce4r#qGp^$Dk5iQJU+Y$3wXfm&CiO;KD9P3A zvo2I3sDk9`aDQM8$chu66NKBG$I4UmSju(Tsx9cUxMG!o_FB%y#(K>$mpYk>e*--< zXW_<1_&SF-gj}RDuv84iJ2u>)xD(uDGh8 zD{W5_wL5(rkls-f8l)`JM121K z%|~Vi?j*-a|IO485jUHb1d>;LSz?PAus+qP>rJ7E1{=kgO-h(Ekqw;6tZUceShT0u zPf>pE_6N(2pEI)Q+5GpRtthD_<~^`h0vj-yN5O({8v7D1!{pR|>biE-cO{sxMBw}m zv4%&?`L-3`$YL*uPpQ5alSDqac#n=5_=TU5B2zjeWbaW2vx){LB4THSVOKyfr{`pg zGFdE*hVP=u-BgDD&9V6i4fl;f|5@18h95>v?eX>d=Zk0F%*z44SqTDbz!BDLIP8E8 z02z{kx`pQC=Oib6A!wddzR7Lo|C-5%GanUVdceWyfCs7c^8 zjTCGwLH*k##-PTNJZgVYRtWP-o#u!sWlNcako)A~egCsCT) zcLhJlV?v9o5{H3)xgVh>U$q4Dnq0nBaCq0)qg8x}2}fmTb#{`czu&3!u!)7qeU}yU zJVtJDI(k0CyLw9{N<^5T^jNgXUt(vw_%X#ore@Ct(Vc%{3R^c)L=wU$#ODD~wEPZl zECtYd%G=pX_(2V&{u6De_Jp(v+oO-gBbCRF^7cJ^VU!#+Xxe=cLp9n=Hy1j`{F%8< z^@1)Rm1BP4%q|(X?+&gX3>?7IEv2Wp^=Vyg6==#`Hv^CFu5YLW^Pm^E8ee+ekG;Iv9o35~;UM}e{_(D!+6MwVw;wR7~OAxB%cC-3Q2Y~vWRYZ(~YZ;1A4jueq z9MOY}yr-i`59I|`G(0JO=<|sHSgWtK>4(z2(fZ?Yzoe3m%+(Uc|NWGlP#t2f6x`=h zAX(Q~nmS}Ul-s-#mhxMPZ*H7vxH4@kh2X?LjoOPBKV4YO()oxW_xeZPvIf061nh#> zy(VzwfG;2~mpdTE1PnDgVrrQtZf`2^t^)=|4w>JRO7*feR%~h1-T_@G5*fMKa4;=` z7G%NXaBz-F49f&%>BIOPR!h^tT2P*F^o1iR`c@)<^>i?DZ;0q(!}qVu2h&G;BT-oX z5Y$l4Rk-sdvH1(Li5_mJ5?6ZvaoR`kq76ITFzc7h-&i#X>cZ`sErRlRVp}J*i2X9; zVqp=m3iQnB(-Wqi#E9b$+jx%6ijuWH+d7y3<_!MpvwN1GqtI5@bmWcUC9xc3azH7u zTg*rW^d7yiy$K_Iiu6~l=yQbFal1PzO?Y)`(`Ycz)GYFS)CTSRYI|+{jyb*jbB!jI$+8So*a>Ej2a}U~nQv z@oVwk5}J-AwO4Arvd~+i;F!Hn4fNw?z-v|passf4lRUtcP$NR^vn;@+)i_13Zf@Al z=gEzrp(1oFU%&DzasPZs3{k+Qpd8B^&<$w%O;rnuJb!Euz3yyqVZ1mm1!QThj{WNN zvQ%DH8tVDp+aRvY|A-pK#g6s+ON9OS(^(;oq2J|5IecA_4atO?sawixFK23MXe}MO z_2hq5Mm?b7Y{$IDjxsl8OO)zM1pC8;?RI>KkI9qLaeuG~N@e6s8_eSYvtGV<-D@4cpZ$`V8AdiDI zMo2#r88E)1Da%P*8$T-o)*CRz*r?Mnid5n5y^#^zj&Y1y8v=F=d9586D!ta|or<8F z#v>&IXzMf|aAUV(QxV~9*iTpXYJFPJ^h~Y*s(cHYv!zNSiPq*)!h#a2fWH*bh?JUl zj4^90bl6SbBNAJTK=^D%Ub)zfDxP^*;4yp2sl2&-WCLiR^_mWWY<0^XNcR5{Md=A6 zeAZVQl1N5zV@tG;bHNa4=2z1Bj$yZt81iwkOps9;1Y%SRd0fLVobSzufH;A5iPhw8ITQ2RugU(bXi(kfUbj_N<3KjyKlTX zbcz_^Jr8Aa5iOG0bnwBAU{cGs4A)W5M_j|6L^$~)gnt-)6yp}%rSWQ9YjClnR(vj? z{trKj1k*>PY=3Qcpwwn~5H+aQT(`imJe$~PA?#I{o8-o$DL+4x`PsY7pM1+jL%q(r zArB`T=6W`BcfK$&1j@^TyXi$^B;~JoNkbPiMro;{AH8>t&sLe3i|Y)nhi{p>y}_1A zbUCV@8Dt@Td}>D!FmlD<6!x&3c`?8Xas$!)$}%x8N>-FI5bv?eQl9;gcB0vk#E8<$ zkX^lo0#COqRm_Q5Zkr&PRknWl^AlS&2=?`jBNIXat?<@X5+tjTIKIrELha}Dtr91m zL!fQk-Qm>81PLCYeWVKd7rc3&V`K-e9YU%Z!>IK?+$FFBl!tEhbIyV5(ku&!7F*=n zSJXHdJxX4#*7!7VUc&tbs|*Jc_>Y%UkxZWG@vhL!Odh97SuljkO!RM4Eyip_Ih>?h zFfcrRhW*P>f@L5Bv8620jfgHiXWBaD%*W!516)#hWU}AenV`nK`)kH}(fhMOPGf1s zb%VEHx$e4(puyOGU9{ZP3MyByae+dm^-1azqd+{PtI24Qm+el+-5*6O!}$Esoxi|g zeK;ANl@6UL&|x4~ws7M5s?W zr#$h}8)_1$#l5grd@HL2>)IqCt*7T;EB6_!Nwmnjr)E(=!(cVFgr8ZTKKm|x2oItC zSq?0AHO7lR4TxgGc(zO!RaW<;Nc*@zMEISol4vTmzewPrVaZTuE=1;@W%5GDrHo~V zD=mneGFH z@cO5*@Zeok`-Cn;6BNo}t3ZZWxk*uiQudm;RD3gO)M^}Lx$(d%On~~OkTn_QY*BX( zhyc;LEz7yr`$^`%s|S9x*Kco$#FF%BvTd*5zm8uMQS(Zp^f+yg`{L3+NGZrKu{)3m zQhu0m8sOww5<&hih#^<%JK}+3d2*9~C<~77V5RK*Op!WOR5PbG2vHY)OXu(cZZ+?i z;&f>qH%q-?6R4d1oXSERqkEd^yQ|Z2`vEpQsVM*Ns^3O1fEZ65a0@}rD;5|o+r?cr4)imc%zp6u8NNO>zpfn+ z;W7wIi~Dx>g#k(j&R@9FmVh6V|E<9+JgMuabjd8#jW_-pLN|x@<)Y zGq@SM!~-UVkN~MB#i!?WMTA)RROlwdDMIjuo0s8yNYKrVcsQ2+2YNRDIA%<|l5XaU z$8kkrKg=ohPV6fYln@;+%p{BS^3UaUtKm$!uKoRw0K?YpdnT8&@J+i{*Uft9nG~fx zlfdN=tYiZy?GkKHcNxrI0A+~{I3@OV>?^8tmWq6Xp)pwSt0l9~g6B43l`j*&w6V>9 zgG675o~S!_jHn_%mZcY@OTO8XVUzg7ab25~n-tpjg*QF{Xyof=NPk($hf|)Jn<0@c zMAn{{2huU0&G|20p#h}&MeM7tZ7est`rhCwzQRvS{z`aXDl zP6Z8N8cqDoSFIak^&WwI!O#%1N1AA8X7moD8lA~Z81RdKT*YA6PNmqWrNk}>0w_NR zZ;S1|20n2NHxQ&_=g%egtEmN%P;Q4mlLi|=UH)fjExCQ#FHhNn@8!Xt!uJJkUVH=V zPISQ{DkWeqFURCJ;-iRiwtnjI^!a;F93kDfpJG$O^EZifD+v{$`PLW`N4N_hjnBy! z++@_C%h%t%gcwXK*AB}_hM3bLVQXLpRIHM!s5p=9u*T`CTGrL@#}_netFv&r*J*7M zEf5kqEuo{?kisO#cp45-E5jqGaL6s6t3Hbe}g9p)$~q>KZRK>Iu*tYd0A2 zwMq4zE+OSvjVl;&>R0Y%a+Hq|S!R7yJmB}K@MQMTl88usz?+p;3F2`cOt5iB>dvM1 zpaZ91%K{#2S_fYCZ!=pR{Bry}eDEv+S>`@1v#hiI7hYr-B`))nr*oKn=n=D`MPHA0 z`yK-xMNtlEi;HLy`P|uWOB;w3hTfz)+qK}gM072*Vn|%ZU6%-h#indJy966*ozS5cab*Dx%f8Z&; z`EZ27#iOWTmgTWC|G4;cQt|Wl>G}_xhL_p?&DPy7SmCuycs1230gbt%UKdU2w?EGn z<}m(0drw3VWQ-2WmppL`gltS8Aoa7t_qtb=peq(5$B4S-qycdVo#%V&Hs}Ki??hYs z!e&|9tOOF#w{~Qeqiz)@`(MjiAj_*_^-uSnFW|bg@-oB=jS60^Ec=n{Su`L_?^sI z_K5can6d=~lIlHF@=!nVHvY0!0-#n36sxeu?9kqCi!% zehwaY9LoZCyap_?SS#BqTxnKp6Z?VFk3W&+?2;Y0=0m0+vwZR{f3gKsuT|Qh%`X~n zw7eMQ!%NIw*v3)*QCmG67CCYK3j7jsuw{MLMEpkR*%14T+Zg(IkAKrpx$HigIM}1A zDz4Ff1bh0RW=DZ`)TaR49g&I;OOk#wm6t}XIn;vBUB**btXc5^Qy}P$2_YN{q3jn{ z-QsXg<;T=AKHn6ffrWJt5!tZ;=8!2dXl6FRv)}~rwLI^*?wq0{67we`y+?w{8xvg^ zQZd?#f^Mr{_j5C}935mk%fA-4PuW^8JB*4)Q|eEyIzCIkmfU zaEdphNTG#uAb}0Z33vDAx3O_6`&fh0w(r^lM>OtJ#aKg8K#Q`eN{}2~9jO#|FzZ2c z^0pQ8=wbQOC3~zjab4#+^@U0nQm2HNjJSGT)U88Uv!~|O_+;;PM5y;b@C)B0MdRc* zeEB!LkzGwlN*Fnv?I1o7a~O_Y%@3MTw^Ntp^eWO2>f70;&Z1(Q@e}?tOyhHEOYvnO zPLbHs$qIxmce|%fZ16}?rcJa9_=@A(Y~t$i>Wbl5g7N4+0RklqaAe5?X@1EOyb&L0 zDdbbd%D7-rbj{gA-a&Ua!G#<24{u3W{4dSD_3|{u*+Ra=hNbnz7NAnE*JN|`<>k$k z=N1g(uHCUp#ne(jQ(~Ntsucoeb@hge-$L|p?=JO#&Yw5bqOD6DV1^}P>`8Hc=TmT^A zZs|>a+^eoznG>ssB<2#MuaBN`rVGe~BA&6$YK(pV_vv!a>JEMsT~BCfB?u=;6^I8B zOu(%Jq{eSh3)*$Lf3I$$CtokhMV!>NPb2U2Z-?HMMmgIKzP{5e60k#!rSlzo|V7QemtJtd`>3D8nuhlsqO# zQ6D0=yvr*+2pj)ueLT2P_$A_vizRYBF>Q3c+z6iNPrvtx;Hnrnf<}O}cOes$ZnluE ztK_E}Z#54w?|&;+3Xn9wDdTM&>)M~^`Scv;t$A|zX(+Loi4Yn#i3u$TD$KF9OXA?R zTyJC`Da3G6*S69ls-Qq*gT)=!>LksCa$t@+z^c!nxJa68=MKl{eMU;HhC{OcwdGIUx07ChCWod~ZUf5?i!hX_#WJ^V`GTP4TYc1;KKgWf+ zT76;4m^y@HZs&z%5{DLtSVl;NkagcQI4;ubp4R2=)V9k^a)F3!nbDKYn?O7pHc}^& znWrcsjAX-+Q@yKeQFcin3J~gCp^>Abd#zqVUDfp1qIs7^^|I`6s?Hs#3xDziLm!z? zfEAF_0cbQPaeF3|ASymga*@3?u`m=*R; z5fup&dBxi`Ps(Jpx3Uy%szsuP_&2~_1IV*KLR2g!tMb z{C1`OsekH}D5(eU)O1kX(3mqXiRX4H>tG zx=dsZ(WIs|agt~)7B`+6m6yyqr^$i*?kQ}f)qr6-we=wD;(8y6tN(;gS(*sQ+OuDzJJ9rX33(j|nYWiyMWYl{^pUo%}mKW!=(w3q| zNA$&MU{;^tId$#1e45Gai!$?@nNSv@TXE2WA*;Sgu$cRX>|erc_~mCh%VFz11)Nx; zXbUeLir@+jT8Qy{W~Ljy$;#{WXFL?f~ z(oOK|ep*rV?rX(9FfvEmymvOm;Z6d`)h76L0#1SRG-$+qw&g(Ej_KF~@=f_x?BCuu ztbp9&g%0nx!#iKzfOLWvC+7latQ&wM!wxb_W6{gvnaYLr^^c=u5V5gisxtMOmHCt$ zxHk%&6_Y*uy}Mw0PgrQ?^`|7qlJ&k5$_nolmKEE(jo{%)^=Ls6p=Q%P(L-opiSDd8 zo%_I$Aw7?O-Y*U z5pI_^#g*8%C<|%0>*TFyHuHks{KmIL@2y1lbhVSx>DF>w z>7oRzfd$d`{%KV7fKydB>7Zum3#mk-9naY{xQnX89c_;|sUsti&-8nR^Y8>{g-#q{kH)q-XQJvF+sr{VDo&Wbz@kVLkDC_aY1ON{Gkib^d^^=afYiy8{Pm#$?wAshh7Jr;zKQ7o_M=;?S6P`V+Rsz!|}WZqjpSu;2g7t8$=3+@J;{_M?>w|{}Vkl zQ8G+br2gdSv393MNcYaA6haLJ8UYs1)VGB%59YrEB^fh^PD1iza4M2}t5PDWr%d^E z%&z>oPp91|S0ZyyT&^bi;gfg33mDembV43Oi(HJ{XFW*=QYmx}isz+{Ses$1Gj0q1 zl1QN2$GjNA>TaIzKvKb+85Z0F6n473zRNrF5WlrjgOa5IOtat458QApz~aMxeS-ik zHW{+Y7d+tZam&;_A;Tma+>k8c7Y}?mBREVPf0;}4SjVaGwZl+#$eSMiLTjn%e1N4e zovSf|qlTIMbN>qRfvYrAqH}rkm^jl*xe5tKhRDx7sqXQOVrUNEpG^IcBWzH)bz2zzO)ilL$vA8fj zYNLXE%)bL|Zkk(~_hAz=bP>E|{11CO-3(sK%1jHu^RR@XCiSnOr*5iM2k=gH7w9Z+ zWOUy#&VJC>I@n}qEx}zjReme9y`e_TmP?(pw{4#zY61$9bV(lXd3dK}=~s{xAzf2D zD%L=@sO##iAyq9Vgtypwd6DC>EWvSR^+^N}adQ7jtkvS-o7j&B`mJ3aSp(MZy04;F z)o6V{gnHK!Qt$~uY}p7sFr`7?5u|(8E{_g}{0@B)C49SHYn$>SPeO6mnyg%!1Y}G} zdqtiV2hRqV$<=Z=C|HUC1vfJq+??glVmoO+Y3q2DftfE?-4B1^Py{O99oihvpSIr( zCz7>qSFx3%WM*@3n{O)+>PL;QrC{$@i+M>H?S;Q8DEf$eK;TJKqO&-A?C6a(;TP|+i`*gsJ425QZd zauW^rp2w0KKnqDUBYg9Mc(+^eN7pDWgLs=SCta3Fjpp0Xk49C{EC5w}w&?a%?0WgC zD-w(u0N@NTc8Q$)ahzOLTN7i^`MYu+b7JaSH~yziv}jb98`3Fdp|vrR_h_oI?pMUF zr?nYutoN*)C$spt7Cr&UtPA~;L(gYV>I-QNv6SiUF+5F;Mbifsy6;%PiM;jZUIVD% z6Cvy%4Di3ejmNkzaym-UudcAcj5f5gCcQc_BX(rmY`E_;P#0Dv{HPwNVDCSK$>X9f zb>#o1fL{5)6Q8gc;p6Pr9K+1rSBRHarQb-K<>KerqY`P8T>J;5Q0d+$nQEiC+Gh-Y z%N|qF{93|R(+H64Yrb0N{`zzv!`R}qgaK*Y%CeX1ysPOr?DGQq_pLC77gnzMuEg8W*Ix6BN+_n z%|qp6=Z?I{SpZys;Qmvep@GU^-FNX@+8$_LQnYsUox&9Ay?<)4Nvw>+Qt{IX!Fdig z3tjQMWJzu_O?@$tZ1V=qvktW8`jPa18KQu~{+ZepDDrh7&du#mkV@=>nLHE%MxTgl z19U_HaE4EY!~fW$433QiNV0FhAqp8!#D{5fV~6Ba$)U6XWOTx(H7x&|wJ@u_HjG}o zjnUf|dte0)Jn`mKzt|9}?E0VjWx~1bC}w;`=qq<6m9@)^jC_vQna_)uKrfUZpNT;K z5y-8~o(wNBJXtDNv^Em;vP27N16)cfVT2MsFpKWf;Ot9km=!7aX}`Z)jT9eW17^|t z82VQ~cl!oQ6Cc|a6bZqA0SsK->(w`T@gVqm_XUJ5oab3&qnZY@Aqi+ zYUJ9Y6;tAd1#Bc(e>M0K>}AqUtm|MSt0fwKo6N%;At4aaf`ASLr4Tm}sLS`?)!yDF z59JvdI3(#(sn~`QraHc^w7?1LY2mP(l`BWhGh=3=Lf_j*HzZ zDq@XJwC&Ns=&D`25sxpUkYSGkMt*Qld7cs;lx$&m*2^R~VWpcKVC;zPqf=+Cf)sQ1 z?eBM+RlKiC%2wB>4JHXO0h#0Et1bb5c}}IvX1Tb^jp?Ac3IJdo#~xfyemssz=tL*~ zxmVR$Tv?Twj>H$lWXI+Wu2bR1bKDYB?a{l6k{)CTnB(`J>!8PzU;Dm%0<8g^Ce+70 zLW^->`YlWu)HW9XkolQar%nZ5^0U*UJquuc1oGlP!V@f_D4Hg|UOe$3uMPqA_ojom z-8MpA24(5>-~D0UZOoKdis`-IG6)f+c3dP_(_d-L@Z#~Hh#!-eZA@K!VS~ESm9Q+R z_!nl7z>hl_HLr%^S7k7R$8(t=SSm^rG8O{hneUkhL#o3H*#w|N04rs*EUYKbtKxC^ z%bhufT9>}nXuIkZK^bE6_MJ_9BwjP9e9~;Abmn@y#l2N@DP!%KYzj{$?*Ks!u)4?E z>Ft1XLi=CMr`-E5MUQGgEn38rC{T;1IJjqoLzD)ssgw}>9)aQRj=LFchC#X#skxbO zh#b1^F0Ifs8<{xTo=AtLC#C#J$>v1}|G0*Xl$^`hXa6O`jYQ+Zh)5BYe;2(!j}3Ac zGMy~&`0(nHMNQVc>2$G_Qckp;e-Sq`fRZLyn}=Pg zq)J1SGZ*|(o{;x*M*w(4FE>LmZQ|LTPg~m%ZKn(-fwWfeds}oe5r$`b*CTCrG2APL z)RPty2gs1QX=k0Am4y16;Z(S-1adv>(lmRwI}~Hef^mj4f?cm(lJsq_xKKf2?TOTX z;+t|RYpV@|AKLu&ay00Tz8z^+dg9dK%9lM^7i;Kv!e^%`bcELF`IAPhkhiQ!W5NnQ z#2XH;-`J$nnvR;{7!L3qSEgYD9YId&oBy(5c6naBv~LtK?EQ>0U_}zZf11?Qk;LEG z#`%S8<5LeMH(Q5#FQu`*x`W=!;UjK+7;-^O<1SM`cW;L*KqR=E`)@nZfYQ}^GaTvw zU?52io#rfv!AnL_KDEqjx@x-Io(f!VrXPQ&>c@ZsbVI;5!NT!LESWk$xpkyk5hUQWl+xChGQPaKu$v`_t1cst0Uy_n+&&A; zR*fJM>)ENG zAN{lsd<*L@+$~%bxHKG|1OM~0Oe5sx1Bb@v~gt!ZywFvMNk+5a9w1 z)YK{P7hn-Yp5uQPT+YMf=HqZyv;~rg>7QkB@DHIE=8!mxTYRW4uQYI1=8y@8!zagP zrcCHeY;#Ddj7YR=By?v_l1AGAc|r;nEP{I>1Lp<8@$6v80Z=l0r=J0oWZaXzA5OvL zLnW|A02os-RhdS7rf*hTbzc6cq>Qi$XZKwyRlr?;XXz+9>X__^GJ$$C^ zE{nObDBCrCmcXY*&SaE|e;*j$^@%){c{Vleo^A?U-}(l4*ubNOVprL>3_ss#uT`^J z9h*))$3_pE8k>n=Y^V{g;M{e)X(oXTyn|?#Gs7ELu?N!h5~H%HYb@KhlamUTVY#Jk zT~_d09`mdF?Fff;vwMRiQC551T>pcp2QpZx18m6^pM-NDXenL`w+hKWO=);d{0=!Z z9pX05%P?_d1HAwYPt*}if8SlS0y|<;wO8FNgFy9R9l6hi}=2s-H z@{s|`m!owU5ip6LvsLScLK@<6)hhg1G)Y?mz?V;BmpS4q4p%nt5c9IUgP)9ZVE5#2 zEIA^qjuCmxfAYQKRJGs>2cAiIa24Sve{asQ>ZiqU$q9ZK*#D^_vw^j}Utwa4Zfau? zj1kcpUkfAvqCG7>b#`PD#PS$Yv_FW7$#qP5rxy3+%HaF>rI!I2vl;E}X?Q^LOEL} zs3Sv8*1^Pd9Sfa6V%=_*PTxGnOt4s~Bikxz6fU1qZ~t>mCZSFiz_#I;^_ zQ1AxEqpTWl4Crtl>l~9zB?sHao=-$aGQ8xIgD7~jT?aH{g?Ko+_-{GB-dM`Ws+ZIE6i(Z_a)@DxBoG`qjg13lUsP4@-&5%0_N)m=lvzVM^K-^@cQsfgURiueV>xmStS5 zB%+v`;RoJxZ??Zb#!vWyY4p$^-)V2yO0q_LSJ4>g>oxh&bU?dzP3jCUPH=75i{O~` zpWbS8rZVk*Jnwp<)*sar1DpvEAA=8>>>HydCvNv7S>}At$Ie>kV)ggK1ps_UFftH{ zLdYC-{8)8{C$%?*#II9l6|BYH@!A-EmO6@1qGws>(mgXGtu(w<3KXX(bHtT@)TnOI zpNJ^DqPX5hkN&UyA<^}hLV@YX)KCr{g@;?A`Cnz$XoS3lU$C~k8)4*> zq)D`g3YH502gA7|%ZWjdg*$58o{}na-+cPO7rgO;Tnc%mHFXvQ+gIj}`6eayB_Rq6 zocF)-Ue}ch3D>M7Z`)b!uOfzo_f&kLb57%YR>PkAFa+)q?K*brHFX29@2R@ftc>SZ z;je7ky8_O26Dly@X|?FgF;Gio`|^j5iuRs>Y)X$k{AMxDi7W^K|k7A=nQ`PM#2yvxdBmZwZ*rs)7nKC zM&13TA^pq^jM(fRKQ<@~?qu$-j5q&ad*2KY#o9c^!{bHK);nl zseL4v_QGJycSwm@QL~;a6zyhZHKz-@T6(QQ_Z}`3Z(77y7Zp z#2###RIWW~!3R)`yQ5CI$*PLPTn;U%U%0oS)@6vA$RE!@`of_P34AX(5|1W42efkAuDK=7eu zSmVGiMB;Y(S;A^M9&2frY?+5M!?ry@Nv(%<`v@1NgJOiUSQ>S8A?@RRMRXzFhE4A& z(3GVB(UJ7W6u(}?hI4$K1KvKo3uxA}=`TdbW)=~8x*hvv1BW-Kdv(jW9 zxm4HdWw}_Wt%t*>N_)>ByDQO5x& z5%?6LdGIu-JseS8D?Yz@9;XFDi7%070CTorcSqPo%s z;HZ8d&n^T67QF?0Y0y$)rwaX0w^@RkIO<~)kGeL(%P`wA;Jn-5&BKi#IiEO4F96=W zfEr^HZ9wWtNCTI?&GqdSq`S$IS`GTtDt%#OZl?V4HDo(51P- z^{py>vuVdQI8)RNdr!EPx~ww-}(HE#S)FBB&@*9 z59Cg1p_O;F;6pV9ywmK_#XvM)oNYU(T2CV9<~6BVTwPY{K5!8I1o*8gqUL0Ynl$EQ zAet-p^Ky8p<_VuU<(S~eyttuBZz6s=E4&q@bA1Pdg`|Lh##4U!!W$xO1mvLYrxQ~( z)N3b(L}^tIt)6F!q6>pHRZ1ZcP&zG-(X)wC!m=^~<5?9Jo@Ya%zBO($t>0ppY0+(? za-bG+M|Z#U{nY|yJ)CS3jAuOI)8XJ7q-ZvVldhw|w_x!SC7|}^?#sOhG5(T z0Da%On3XL0w*gq-+#DL&rdJ2xdYF$Lw8NQ~d;J#yq^`x^tWP#*SoDrWc|_S99)Ihj z!6tBY!IajgUW#I$V7ozZs4%ms46P6I{#V>968TJ78c{y!t{rXaHIiNUc436X;p4#Y z(Ut=3Hv?)yr&ln^2{(wCk11m4g6He%5At9S6&3*c(iQvyNCMk9-II?axZS^Atw?{lWN%2MFgLxAoCMcU1YTu zrR+sTMPjHe3KszIBJawmnTlNZ*{U1vq3m{)84EAYE%su9uS?|FutapV*FQPpZ# zt7)+)kE37uz0j#IumkfeV2%mO`o=aduD&ebt^%{y)#bHqg9cestB+P{olw_5wVk@- zQpbBmXAc2+*c4>LYwvC+n}j{SYPT(TXt82@QItqE)hVCHR==@(E=U}SO@RFvDNG;N z#CuitZv0|f$F}5qV*$X%|7bvoi;Ei!0)t;GJBy=PN=`mXcq0JZ0HZg%aUljP_FX>` z7g4qpv6GQ%nbuWKwaWkRG#P8>>C@n$Bcn|TyrvRcsVt_{?bSY=UXJ$KL(yoESSsIg zt&-Y-R&3!*nF4f&_rk*Rv$eg{|1%Awyc1EY{iwyxRRm|J1uQFffUp=htp~=e+ zm5GX(t~(F)jKa7BPuHpdPqearu~JWc*lo?3bnSR?#(As-_?h*a!+yu+UKrwD87yy@ zg7AT1zVWD|y=+Jsh6LeD%)}y)oF>QMVpdT{?WHy42|CkWjCGD#7?yL-=jP^qH=KRJDyjzv z5Q?@f1bV-==&5CtqrR)uo0lEBj(Y6oIZkIP$;-qnG}H|Z!B&4Bt^Bp24!pTbVym?Y z1VdxQz}!y3hr2T{;i`9b8H`df%K@`euYWO1=#N|FruK!&+Kw-{C?!I;v$NG;$i~eL z2y?lO_+X+Ch~^IemC@aq>FnxsQq7is$(vEL=rm_3yCI|fXE)nGedUwGqQvWuQ163V zITp0L-(Dttd541!NLo7fSv752S+XBX1QK1q4w=;RuEHdfIQPf>^desUacQG2p@_%I z|1uL_%1ZmZo>tzPs<+9pS$ndWNB)JI!+(F5pLB#()Qc~I{Ky|`<+kXH^X=&^+XvUc zx>DQp&Z&HB(?Z*)o9|9o(6*+*O*+hVwXxMf^(ffZYd23NqRl<+(DS=y3^H9-n@kWF ze!%eXUyIkUle9?VzFP&XB1nC@wyh3o@W0E<{3WRHFkbCM%4*{)U`0e zylw7q#w;<+Y{9baf0e*B49e;l2Ij=Ty>;|3V~>f%!z3RpK!CteQ2sYpTm#$7E}UI= ze@ND=J{pR0bvy&Vnc+g0!jj(4)&&Pxoc8tKY*?`@#Xg-WC9MCL=(Xc=RORLy$1mZ# z-+2F*bkrA&umS(|@%_qtFu;Hp(VClkSdh|MoEGthn4T+wZD58gO+?Sr+%Sb7Q~-ap zoEk?TMt05+DyfMEg;dUpHcYj-vqPB;4Ej)=WwT?p5~ZdtUHWqq*48?~WzBwgr5=!F z_d_hfYrQ@U>C81d+Aane>_Pj5a6tnAMD+^z3)Xu0ko~*wI27Y(B%1`n!Cuk->UT{6 zdL=kpq0@${rvVd`eDr;_xF}cWyHd^1hV6>cLj-P%bRloIbQKVFo7x|O{Jf~BJba${ z-u?MAp6A%`hQVxD5}!ECfcSYtXtZ8I#*+q$+M;Hnh+U0}ON#0;jDS}hEpK|8?OqwG zKDoYaF~CAYLqX7IYe0V+E-9s#ocW>gZ{C^w$Veg$f)vx!Hi@}3rL*kU)_H#T)`y~B z{vQ88#~c=Qz9P>*`;vX@BK;f+K}SdDxPKeXm(153=J6-~Y|qM7Mp3tTn$I!K^kado z0k=l^*{udf)7F7|^_`uKq+$+H%!}bd@((}!D5P0GFk%0lA&)5yu|^D%)G#_?9I`tk zj2dd2DCtO)-H>`aQE{{1)&k8azShl*d}A266<8PfaC`OmmWfoN&5JO->?njE=vWgG9E_s6LzKT%ksXVlwM&Z zDYFeWAu!mBx#R2XXQVPxg)Ut&LlJnnx@U)NErI$Uh`aLhmCdZDzdhN*ovmwIjCqXG zvB_xLt`H+Y@vGmd?L*M?;!-_YDjU#^!=bMiQvpV3sO z7Pj{)<%|zphbl|BtrN;CQrW+rLeCal4s2R(B>!oCC2d%LB+3Qb*w#W+8y>_$ut*+Ev z!F}qe9?OupF3FKt!>S+?))AHX&2J|ekKcSe-o98dZQP-#I$3|J?fg2o(AHOVj{mTg zm&+VKZcBD!+#|~n)>mkM{xv#7SVc;Pr$a1W;tdOCjY&J3)@v=<-~=x!tJ6M@Pu{vb z0aF`&i(fG5Urfu+y9|uiL%+6>N0%2Mv_*L$D)y6bA73N2Lho941BwS1LL=vH5via7 zfrKhAUY->s)$nuN&GN_TWuupvUe0%69i>E@vG|q^*H?Xl?aPP^+lzVM$vGRP*4Y1g zJ><5X=CkIHKJn@maU3RXVZz6?1+sSzPYpL6ENdkq0@9k5ua}^Q)M>+NL+8W(>Em>{ zX$&ePYnGh?trIdb0@w<%_0EOMB+AxzFe#)Q9_#(|(!mMOB^l#}FlpvJjV?%q%S&^1 z>)il^%H7UuBvb@xjcFUxDGwZ7en`0XUCjk@sK_zY9|8IaAqVHFM92Fe87A^=13u31 zw}F`_o>T0oVTv1zJG#?MjAS#G(Ms~VY!B60KOU@zAH^v0X}uc7Tg8T@jp2A}Gk0VnR|#K!a@g9v+~%KmZw+}M)QOOqG}D?Ajl5Z%Xwz3))t#F2(8EVM-t z!t|=5UW9d=?EXZuF|fHoK%uC;FrD@Aq;iQM{E+&aomS@cy0CH7__zBg+$Fsc z5fM9muR7Snl@FOx3&qw%)#*DAN9rkp{e$})k|zx>O(T-PQ&i_l&1{!FTQY)pyyLmG z);7ualTh6>2g;#|afg5;c=1rSwXa$$?JiquiN9|>weGN!1*-`e{9q=e(=$bmrmk~j zQB7g|Bz(tw|5EV2`D3!^DpBh)sx)JD?=Gqj3v&1O8dtx$iK9`h+4 zTVH3A+}|_q%MFx7uHMyng`GURAH>SKe;2|eKTE4c2lMH?%|4y zMZ~u-?bd@*t#te6YMR>B*--l%1`Ygil&nzwv>Jpg7!20&E%JMDMoD&O&P^Jxb*m%n)PhOosMec3N)`jGh@Z-z zGYr{bEI5h0$eQRq61eWK{OgKW3sK!vF8j-QjinIR$o-xrCePLd>$6I6dG^!REtNTb zut?T*e#nxPe4nX(OtaimfwDIK=+YDRbTb@}Zjle0mlBoC6IUMU?%A#~bL(Mz`yo_7 zLPD`?dNr*>J~2IcW-S0bULxS}TC4oqx=Y`&-_hzl9);8N;qc&u+`qLGG3G^)m#<;W zDTMw{@yTu$(u^O{H8zqJpIF|KIUTrnU(D6*$jRieGKcT@{%ri!bE62kwR+MeZ19CP zAywhMYt|34@Xa$sjN! zkt|U}k_bbTvk(}Z7_`UCs@5imWRdv98tlrc8 zn6G}vPl*#nDZ3$pigNXeScBNICchX~%@WP8>Xg-bPLiVDD20XGs3Ums-Q3_68B%bn zuPi?DO@z*UPyFj&smJxU+7VUMPyQ*xSXHfk`qaFc8L02~AMvRab7a`P>kV=IJ$03= z8Gb{Z-B(hrR0bSwNsh~HBWEchm8{f+&#l&8n`~--{zCIPiPlB@_|HxDL#|tN3SZsEC)296b5Pp@t=kq1pUvXY5o;zf76>YPfV{n zb{1Ziq8P`|_I8CdRo*J_oHekKlZ&t~X@n{m4cjci`q#$_BT;LB&soyvbNioJ*c8JQ zgaJMzFp&yjKu85!+@&p=eyrC(XZAhj?H3ZY$g)`47Y~L~X`Pc$g^*9FqwJagHaRbO zqv+x>vFYX%+!{Z1$z+7un=gM%#)M4aY*^9w<4}LuIuqfA_HEw+4^IPz4SCc4jc=Rm zBKn{23VnZpHj5gXxMXtRL`bznb2tNk*I6c>O&Xaod8ZmCktVsY%wj7NAAjdTZe8q6 zGraieeS>J#u})3*8%Rw_6d0(mZsdPNm9s7)J|VB~I+hgtn2qVUuZ(IMkcxs_?a*9# z{V<=~{NU-YshX;3MgOj!BE5BFHXb*osIndThlkcXq1wE^(q~0efzdqE;FRFkU>!yE z+#vjBTFJC-NXzPjf0Ne4!Na0T_l#CC{P6jR#glh^cx8QbklVSicSqmytkqZT1H2rr z$?7zsjOxb`z*jU8rpFBpJzT^(U|#?%)Rr4o#K+s|S(&WD6oaDF_C<7!3VSAw#iV=+ z8#R^EBQvJ;1nCdd;r*y$hq>Q&Ca+<+Q3?9K)r%uV?>CbkIcG(+*D|s+B081fSk*zL zmF8`ohhY%{iq``~Yw3{D{S=z~ z6AA5{N=j>0 zWUr;=8XpaqZq$)&mwD~cn<_{H{;W+dyB`R!+r6WT;A%ye( zgnk?OY~-#FtzSJ!+A0>y$YlS@evSSXH8uA94v=M3w=JP}AScPqrI;cbUX~`b&Zy?V zD9OLFM9Q#PrF0x_}E#9*{d<6w9b97d_Fu4pp^cpC+@t&o+81n)DKkN z^}!}NI209$URp?dHFFnOe^tegmF+&dFlJ2?vybWNU{sM=_4^wV*^GZd8 z2EiZsXAD>I7+atAK7})W*%9L=>swlDTou;ld`rokBeIz;l8}`T8mh(XSi87WKr(ws z51sUQ{8cNN;eqFy3KOKx>YZZ6WZjXodq$0;S=8aBE5_5ZDeEL6UGV5w9vItOqIj2$ zbe(@>REBiZu*JU*SF8OQ1u|3=D$ehOm)+HNjByORU6g+1rmj`Mp+@Jc>6E0IddmuG zC-rZH&N#wo=zcX~$J3c9wIwe=I2H8DBnW~B3m~i7#xCTw7ypJC1zuIHyi;;}O?L;-`r{7LaAIw#w~@AjiR1h=m}$h6B(u^xndBqyoq z5_&J#X>FaMtC|3EjM`I2T8T{sw+BI3k`dFqL(z+|MS{nl4vzfDI#tVuq@kg52%&w= zsNY}TOZcEAe!@26xKw6x)gf?#3F6y}5{6d?#Q4IK!qBT7=9s&iqo6JMT_AOpKhd!K2ckzN`!3@S5vwUyGhc4WE zX-;diS4BAaqYr35T*GNX)?gEp`N>uQ%PZq&x`u8p+8GFBwmW$$CUQ}Bi#`UWa8>BN zD?+^z&+@PkDm)n5xw6P5TK|~$TZ6|viu#5SYHg}|y`*R z%oX(UB~_!zGqfEZ16O;4Ze4B9;=epML{!(^5;O4h($?S1teuX;IE?p5rDzg*8K-oh z43DM)OB29{?Dm<) zq1-n;-L!vkq+~hw#pFEt+or@&rjhcO58>-8LU=b9xpzCOyTJpw-4_;6Rce>|zLuTI zPTBIYocpG(q+(?%Q4j^2H&H<9PW*s>iRV`oAs8fkcTsla@eC^~+RKO^`M%%Q@4kvs zv3f1N#p6_30prf%zzc^T-Q7HQ@0vHgAu#qo7-60a8-B_Jay%@(?^!VqU(=fw`^>(1 z2((Y_er3F~s?Y*=#}9l*wzrf?J-uzRs_Ombj#s2TXv~En^=QuOl-JDjzK@dp#?>)Y z94dbX)dgR+kcpQ7n!?@PU8zD=oQ=Dyo3{kTb9Ov+895;`IL*0Ms*ehq`na!#w0dMJ zEKi>RRgI-o3@`a98nsSR);txZd0$5@#7TQCzW_4_n9ywpvXq+~F3yf@2Xj<=(!`6E zeUTl(9eYl)Tvb@Ov$KFe(t1{ZykXV0g#5Ez0uR&c1%}!6wXy0a%|Ix9T#}MjbbMCf zjbG__5v8=+R=MNZKwPvJkGxg3^0-QBy{TZD_zRn@Uo~uF9Z^gjwI1t64gK}6_5hJ* zz)RIr5n$MRXj1EewTq47Laru@rm5Mwyw)!J!Ig}}@1PDBzO_-!!A&`AXvZ2xw7AQ(!)%2Iy`Rta~P(q4SE?N6sYS`Ftv-gi2RASant zcwHrSr`cpX`|enmKZkGW@>6IAt4!BnivVLo04N#@xufC_0_GgKzs6hA`x;8EYKFaM zBnJLUBs}QuY+*(eu=I~#?y#Z3BGysNQ4Gtq`Pc!wRlE{=Yxm;QFC}17rh@^XZ2hrK0;y3sk!AN@iHHm=oiJF!JZ%l<@lV-R^`BA6x;qa!A=TV25uhp>JV`+RaL= z#LKxGkL52!7Z(?A)6(w#4r3i`@I7+zRL9+v6;d*asD0{O#q@cIhwm%|Op7OXMk!P^ z1%VS4E*6uc`u9FEPQ)!-vv${2Q*r%cn^cJ7{(ruOXkCbxuAnBl2D?e__88ajAr&ht z5{>x16>6uf1cAd~FuaAOrO+A(XjVF=9 zJG0FUA`Ry@jYZ+>!xtokhC~9mp$y!N6aA~$^83ROxL8^gB*X7kS}*Mu#y$LhOH$4W zUkRE0t6gTUwTJ&vL@+1(@1LChRgK4KMv3XsAjo;RhP6LeXBC#@3K!-DuP>UN_ zCD)#efKwi7h$biK34F-=>f-2u^LFRBn!0+5#7lNSWuAjZ@6HBO%pLeh^P6V$cUU21 zRkXCIz<;c5ZAJV~-NCHgD&0xvTN1fgc_^AdPXXpu)}YOsdY_F)AIp=SY?WQ zVBPG%1V(+ z3R>ohFc^KX??`XE@eBhFZ?7`?7SK=&;;`<^moGc5l(g%Y-<`OtCkf~U-z3wXn3!0r z`gY-@)WL7`ZZc;TFdXOt6_|BaoS*x_ytaPbJ6LH3%HdTgGHo#8$xX1J=M@pr>CKRr zA4iv#YDuCr59T5Td2>^z%lT;|eE=Wn8z;cVTj*|LaCN>cpQx?2`Kw0f+FDt^97&}i z=nDSu)>NG|dpWJWy}d3_gr2Hu1f#5v`#r?F%4AmG4I!B8LTA}Di_;EoE^gX}L3(0# zb^4LOvj+AsXsan3^wH4Zf6h80+h!LHI^Dp6{xUfWQ@#!!u|_3(s=(>03Ye`fAUnJ&K9W)&E!ZOTa!V zpwUo!Pauip^}>QR9{C*!1!ZOBM~=Xy2eKa$T4C#7iO6LL=DnCtlzfp3~;8+^?O?&LK_H< z4|iMcTLiqeq%4<=Q9GAw2H%<;#r8mesPyp_ZU051{Csd&W2ii4J5d{o@vteg=>=BT zXbwnqq0V(N<9&`pMrSVdDq-ZzmLL@Po$qvvZyuIaMt(>pYcXH>nTb39ACHtl_$^>X zEwLM5M?cO87;RLsug3#!A`p1eZRWjRRCO0%D)5%HCq*P|W5dy=Cz;BT4lb1OCEIdc zW9Q6I&iUJgCuxiM@8*zYN7gSp&eQcN;Hdo|=(Ea?M|&#vJtlg(n*F(d6S9%@RAOQx zRCvE{Er^f>3`EX+@kipq!orPWTN@jEKU>F?loam<)BODW#FBJ)(uC4_3r!nRXD+t9l6#lT1GBi6KAxp6nJ$B5;p$8iAVt0VV5lJ zB~UdJAPwwQBTXy{$I1 zH5mi9w*hHLUST1pprGI}i|3!&`z!&+7C!qcR2vSWZNK!u99UNvfgFU+$>Ch^QB@@d zT84b5@_KM+|KA(~FfuO3`0w?K|K6JPI^97A7Jk(HY*b;N$SWvF5il|~ zMu_dnkT(NCvBJ9RR)znWrw6e5@>+jM2;?EutkKwM;;XWW*OW(*vlFv~%O_lD#$CL; zy#M%i1=)PwPS@eBwVbYgnJt{wy9UTwv_SgMi=-3O7ZMU$6AV02*KIFI&=#@jc`{Y& zLGs}aP_EqRhU`km ziL4KTW*Apj*GYfrQ?Iu5y_4Zy@tH#KhhdN^6{kC7SRO02`(l!xxh-wgJbG_fe!D_7 z9%L)9gZ0T&otJ@rfu2dg$zqe!8H(ZO+Sq#WHx@@L`cR+UE{L9u4f^YZqy2E6mOY?P zXG0GC{P_uBmfX1b_{5gqPsFF(<9VS_GKAY)D>2MtO_zq1wRmoReq{KIjvn|BD!p>H z<%SQ??gd^Q1r{_nD?Trq&(=_-Tu)|<9k!{U` zx$4-D$2iLPdXQe4-gYm#W+t!;36;W+ii?Wc=6A{^%Jo3`7$y0O87!tsogHmM`1ts| z6@7eNq)^KvasmR;)z#IWz5$@Np-V}p&WZ=jG?zHkMIIKMkZ`*_npxe%ggHpzbr_3J zILIy9+S=ax0}oS#tW;cXAOMKL@jHN!lZ5~Yd;ilzBnzHKx{RdvrXNa9_6XFC14Ylo zNn3~zZooxEtlCLuH->z_o%Fuw{PBaGiz@_2ft}G$=cr?9+6OYbi^QG%jfwcGX`e_I zS)US6&F*a#Q!19zf%;&j6-;o=e6(~mAj+7iaG(QUxv~Tp;BKxr`2N!IJnL1bLvcg< zWQBv|t6ffjX2_lys0*WyS2Nr?(cIh+ivkq;4&v5;_+1055aFpPgDsCR0h`;2& z;E9ZkexR+VrIrLozuYM5ytZushIE`PkH~xwhW`fy!@;T-Gm$ve8Iv*~Ze>w3iP}*D zAIQwh3&$Z21JhR_`T4xyWgjTuNSVa=$44E-2;<*Jivs_f_T841VWGeSF=puy`vUY3 zbs$GTK)_aI`}{e0P(v)~Z(bdD$V&hwd56)$-vGj$_MJWD{}8hcgOgw) zrLdu<6DxdgiNtY}z5x8AHJs{vj_wKMlQdg0Gn9_ z)<}O_1E)rfgKUG-=6rh;hpa4$j7iL8V_fL;XuE%7q6`!Va{gzBxgfd9fUoU1squpZ z*z}Huk6y^~hFDsW3AzETiTcqRK|KM|wdBK;J}!Cr4DhQfFp;kSS@6@60MLGqJnTAn zJ5pN=q-I*@sD^9uv#|w%`Y3_vMSX0*#pw>Na#~LJjb?JL4hmxpNM0TKECONy=$ne4 zpG-XDvD~ti9GLKggoK#1wC)(T2a~xOV)WnX07Ao&$n9AcVm75^ x&i|IVo%`U0;{U35|6520{ohOC|K8GcMMy~Up=apEi6S2Os48nJVHC~Z{2wD>Ke7M- literal 0 HcmV?d00001 From dfac6ee4141a8c2911b691fe93e18343bd3edad7 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:44:14 +0300 Subject: [PATCH 12/98] Update student.ipynb --- student.ipynb | 64 +++++++++++++++++++++++++-------------------------- 1 file changed, 32 insertions(+), 32 deletions(-) diff --git a/student.ipynb b/student.ipynb index 0dd43406..0c7c4121 100644 --- a/student.ipynb +++ b/student.ipynb @@ -135,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -175,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -303,7 +303,7 @@ "4 NO Average 8 Good 1987 " ] }, - "execution_count": 20, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -327,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -336,7 +336,7 @@ "(21597, 11)" ] }, - "execution_count": 21, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -354,7 +354,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -388,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -537,7 +537,7 @@ "max 1.651359e+06 3.500000 2015.000000 " ] }, - "execution_count": 23, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -548,7 +548,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -565,7 +565,7 @@ "Name: price, dtype: float64" ] }, - "execution_count": 24, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -585,7 +585,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -602,7 +602,7 @@ "Name: sqft_living, dtype: float64" ] }, - "execution_count": 25, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -621,7 +621,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -643,7 +643,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 26, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -661,7 +661,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -700,7 +700,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 27, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -727,7 +727,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 28, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -738,7 +738,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -759,7 +759,7 @@ "Name: count, Length: 9776, dtype: int64" ] }, - "execution_count": 29, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -770,7 +770,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -787,7 +787,7 @@ "Name: sqft_lot, dtype: float64" ] }, - "execution_count": 30, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -798,7 +798,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -819,7 +819,7 @@ "Name: count, Length: 116, dtype: int64" ] }, - "execution_count": 31, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -838,7 +838,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -853,7 +853,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 32, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -864,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -876,7 +876,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 33, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -887,12 +887,12 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 58, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "

" ] @@ -919,12 +919,12 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 59, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] From 618a4f1e6c137cbcfc89af4fe5e3537b7feb92ea Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:44:19 +0300 Subject: [PATCH 13/98] Update jointplot.png --- jointplot.png | Bin 44292 -> 46337 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/jointplot.png b/jointplot.png index 9bc4d447b1d7b8b8b69d2d55ef4401a13032950d..a3aa3b021364ed4d868d716a195bf99abc0477e5 100644 GIT binary patch literal 46337 zcmb@u1z1(lwl=&eMM6NjI|W3#1SJHdV}o=`OCu>IodVJuDFNA(bazQhgEUCDwA4Sh z=iGD8_dnnN-|s%(<$;I2*IsL`x#k>mjQ4%Vm^(~GNd_B(3q|?DPhrXzb!(Ywu!fWkU1rjgzyLy&VsyASV|)jirl= zgR}6HCvX3C0;j!`#S^}=szT7n0|!}cX9xtx81aYnRXpDc0;#l=8)vOGEl!#y3Sat9+Y z(wL3r4cNH{wKO{Ib1Cpsp=R?8LPtlJ-4zgqkB5gB%fO_BI3AZQ2;SkznXDk*F@*h} ze5h4?|G5UI{*>eTK+5hEIlrx6o)sSjXoZ7V0cJTO(=*L9xy#UU@Gr24UJV4>iL;i)6&9$j2#XBc=V`v{*I@m5aZ z|MtT=>t}vzvQw@wA!nwm(_n1!Oe-C18N|bKCksxrrtnxCDvNs~gDxeLkaphP=o=lc z4^~kTfyWsP2vd)$taLM8+jgy@x(ALV`1AcAj9P7BG{(1K0z5obM+Mkd$dv-PlCY;U zEZii66^wyI(SQF*cUPtOOb=9s_J2u9Rg!QyW~Y`3e?l>GbE2cuAxIV+fjK&L>&tsh zdE-QchFT7R6NEZ=_QA^n(-kS_aEm!Syb-l-eOJVD|HqWCsLem>-n#`yoFl@<{{3YQ zLCsaZi~murfA=SY$vs%5JPjRPIcO=Odn-cyq9@~X>ysG6=j@D`Fp;QtEdkF^@V+bL zmFXkn;X%W}1iMS1d*5C9cyG(d;3}q8C~y+WlD7tZZIz+k>JcP6Y$oTIQ2j*eOFYYn zi>Jy6x*w1@itYWot)uolMGVr)N3MGmosR9ka)B#atbZ{vA_jX%deIOPvpW8rKtDIJpIbh5A8#;m3BGB?&7SPg`S>#bQSGT=MqAVH$qQA# znCo>S@AH__wl|M&R0z-pU8(fuvzCWT-iG9{U6gKI9VLlx`r92|GSFpTwvpzu$!*=c zz1(0v8Z^x4iMdlVcaz%R%{J82pdM!3iTYg`QnX6(hLtwn zIE{P2S~}CKogGpkW$x*rmdmCqyu+Sk41OIqFcf954uRa z#CayHsH?(0hZ5q5KRtNBo5dE&#( zu!!2VyK@`w{quLreW%6I8T8D16l`*SuN#%5D!)B-OqCHA;*P|bcY~CDitZOCJ9=`^ zh`jT2+i`omz&3I*cj;_L#Id8=&U-s6=b{bsW|KT-r4XD_eEM04T%P;wQs*Iqk|C^p zYXluJNY}Zlo!m_yd7*7K)g|q-rP>kvrpSvPzbQ0J3__M~D{7s_*cy4ax}QYHWS*O# zDyLKRsOR^{FV1X@sSqx0pfqjTQg!#ee3H5&njD$W#hubB-w_|maO}mEyR1fNYd9ac zxG)nYU|4r=&~;7xR?A>A`k?vTy76FkI0v+6f1AX7^d~*teRjg8EIV92TEQ6oUN94zDJz*4bEOh~O`|10myw_YQH9gn6&44bKJX19;>7vCcd!zg>wnt!A2d(N&+ zm(}-<+)!^~uJk;KUP*e-8W@j!P9^@pKOU`2Us0^_vd^yZ^o`BP$S)KKOqj6mR!^N^ zcMsl^CSc#qY|w(e(UX1Ab%g2uXF%{J6Fy1WE1FzP23M3YGqTt(5A`9zke7L*BqK2`ZBM_o=qDjxkp&(h}5#MujlzvOGr3{U=1X$!xN|GRhNgL0#0R&eLl17BYO zyQX)~ZdbRC-49!7nDDI>nEd?JO(A|6H?wj@R(m~+dr`GtnvfooHGVy|{(4@kvN6K- z?r8uf9ts?pqJ;zn8Qf+L{bK&Geq5+fT7K(Z-ij5fsTG4O(uW4*uuvj)CMCj05=LAE zJ*5Wqq4#mHR(i+QrR&;u+81vYl&;T8ep{PW7g=}4+@5%PuiQ$yUmS8ZA66tCmMX*A zs0}8fZ1}5;ZDb%mHNju(GVSTYS0&@87e&GiGsvWWB(n2O)s=ZA;EY%jC>o$0cy$Tu z)vb=g2|hRQ5n@xJ&HlWZZmct1IIw4$ZAd+w5!ma@_puQ1`F(=teO!PP7=&}PipSuR zX)hYwd_>~o=xx@$c-*ovj3StE^E0Oa{X*aJqz;%qdU7cm5>1K%9f9JDXKqBE!a;@) zVZr_HsU#qi)>*j7VU_;9Qe?f2DNojZv0mu4Vw!GzYkn3uWKKO>GtrA&C#-!eOuql(j3RiNw33%8pCL6N{UYLn-fMDb9X5cy+b)>$-YO;`>9(Zl#+q>wOrN zq7|~-%rLTEW5i04jeLog<&Nr=#Uf^o=L+;&+>wyb8kh=!#MS$c6fnHZkIOyaeZy3) zUO?d2PTH!5>i3#V(C2CNDshN>w-rWayB~&s;-9g@D^Z663|^?euKMyQK`oRJj`1}d zS^DW6dDKfsI|lTao(K(Y|H1T|uch{Wa7Z{Z3zuo}9S%eVg6=QNVB#Z#L`F`Q$zmRO z`m?;H9gCKWj}J{6iHy6Ab+)jLX#Nz` z+Sw^})}NS|*gm@!Wp84F{EGkGpM0JhUA*?ziwmiDSj8O0D&t!{iBImd2(JeFFEZBS zj-zcRp_OS#M9tDSHID;ZfBpIeyJ>!MGmI3eFyuhX{sIr#h73AanM){8WH03f%38R*xBYJVT!WB&wMfje=2FZJQV$i*MIEZ;jarxJ4iVw>!XB&^Vd0qHC zzBSFq=%@SWRgdC8pnG4|j1g7^1H-nsiz&TD>3yj*=@ zxJW`JY7~8d-BABye*P^JA1g}i7k^nb83wE8#B^S58U#jWW~j=r#?at(eyIRc_pZc* z&DT{JDj(&z2QZ6tp(-1i%g%*gkH2mnh{S+Z*tS@YLHs1zWU8L3WCi^NYjrNWb~7B7&AABK#KYxo@T0vu?9ixGs2j%xi3t6Y0LY)o%h5UMUn z@zTvr;Lo2wi38#oVtHMrtYV!1_*Zi2sQ`1-aVI)eOV4JBxTV&o!F_!aLrYCPwo*nw zP5h64Q)=D{pCUr89|5TQpIkyc%Du_pdT{X?yV1ac1CxmEe{DJUBKd2rv_1s_Qfnx} z{`;u-zfTTEF4+uH%zEbdGG_xo-sCD5-|#c%1WZD){6ry}>ArYq#_dV|MUU^b%ZN8$4cPkLc{>!m>;a-pKH! zO3holF3QS6g8Z17d63kfa2zmG@A??BbbWc;ztRPmY(H^nf>WaON~PO@!DfAQY%E^m z3SlV=ne)8s6m7avPE8GQ8vk2lNaM+S~j{pH=QXA`AYAalJcHz6)&fIyZ4~A!xbidh*SAL#c7!we*8A zN$obg@W+oIeouUkBEX~7Ec%Eb`$K&GjAcw-i~!SzMo;w#(Ikc%-u_NPe%_X$Yu^M# zrii*iF7;GaJELRSLMuVaB z)HBCFa~onIr9P*H7w5irZnlffl*7-?DeM~d_<8yGmOoHm8*zlZM6A@zys)u&Ww9`U z#${~xn;kqei&-|vcnKHc&NUvowe(Nt;jLM+ciTv0*vMIe$EehRzF-RGj4V*jwWlGt1PdZ z-(MYWDf`y<Vr9)*9)@&m?(e^3A&{WK{kr}G3>Fc)!IKSTMf`lQ*u773sJr%R7C+xC zScn~ydT)p`NA8hccc%#6R6eu>8gJ#XhJ$@ zal|i~Zv=EX$D=hD(f0kb46?4C1MxspN#k)ZeFQ{W*l91zlJma4m7MmquAG$o;?atb zXuc{0(>k1+HYLCMGJ<#5wlSFr$MCkprbK#@_egl(r-(SX%u?i5<-uPc-REM)6}b@0 zS~>2K$x?T!5T2b`Hxva9P>^CxSqAbN{#Bt8tVC0#UJ)N!c0I{4P?YY&C5d4w6y;8} z|3@3+IvW7Ed>oIUewFb9yB3O83~(Iv%Lq(_RFuvA_5j03-3x^&oApGnUviqoS)nE)?&MUyIPYGXma?>(k;=BSfB4T%p8{hoz5jgNeGTF9H!7$Kl( zAVHzuoE6o9vITAbJD~pq3fBL$Fa|=IA7FtUxPsgy-R`_$lfpRFZfKeCSH&UHQW|)` zTzEGSW-uRfnhgLbtA1-S>-6}7A7bdH>s$VHbt*o9?0|VjOZsM#I z@Kil;U7r5IAm(#NyDQG8vqSp`oC?fkJ<=F`?&dYH4J#K^@54I2uW;lHT}heNh=Raq zV3t9~p*lDTq2K@B-69$*ctnIdC{Y-PfU)MYoGJnDR2|{~{fA|;sE?svxxvDiEH%WD zR>ioT^SRnX_#7c#Dn+_nO!vwadyaoI9=hy0)v=XBi;VX~^(7W9V%`^A2FIyWOM~`4 z&e$^2Qc6{m9!rx1fQgDhA76M#2rOw5R!(|Ya|zRB_f7CR>eM;C8JhAvck>NVOyghf zCbwrN1HtX1EJL|rNC#}6Sw|KO9%3=|1T&4`sW>O@1mdEL9euY~Xhd4SW3p$mMCJFDA#-gL11*4~SJC__A^q@*PKX%{!}adv?c zw5Z6}sPdI6zfK&vQRmpM1V>iBX^_?Y_7w6ZQdl|pIn_)=1u*BclaD8F+n2dOCoUvt zbo>(g&_WYqa_4FjruyqDXoN#DMBE;VU(F03c2M7bo0O!@7RrWWyeqMSpK^tMc^##j z|Hulg=%o=223Pvo+S4I{J-w4&{J|(R)m0Y|JTjY_C`)~Bc5I#z0QY1*U7OISdW;D6 zbI!xhYELJ1mz_95A8>)sUjFm5Eer80QpDq&H*P$uqQU^-Nz!)i)!Nrff?@mHb$b*4 z@qB!|5$?|JVvXq3VT5!&5jRomN|(xZL1WKnH$T46+FgtaL}qZMGvZ1k#Io#Ps7ljX z0^RGJ9C|5*ZxyM)h^zRetg0fm7@b9C@UH+(6!0I5xi-Q4uNPqX5T$FyuZQrh|MRl+ z|Ma5%??d7Lj>0}6>PSXH(kilW^sut3DyyXAq1V}N+writ;f^tw13W^9iQhxaOiT^{ zg)JwPdNWe_To_l@)F9y4;NalDFo7aW?7VI`tD%7$AO+mbB^~H0ODLtvH08;B6dQ1-QRMJxo}$IM%YQ*pV`pRfcKXM!TIe# z^azTa>c3PU>+D@UTIzdT+If3(Rk3(gA%4XpdbL~O{=1j?e}@HJ3Q8&}@Mo*v_Fpbc z7VA3RUSE<$A(9ziD^r=2ru5w?m0*Ig$4yBFo)2~=iwj2(pM}0Ev|2e?#_=Ules)T* z-*~J96L!V8JEFexFMYpfQ+snZYa_&ti1XRjse<~h6VTeb+baZ8Hvz=pVz%W**ZU~K zuyc0t_Dts?ko!ZweoZ9`(F*Uf1EyZ_7Xn^?Cqy*xf066yh3+8X;&HfwAP++Kk>#Ue zS1Q{BjOWk<9gt$6KrAcXnExV5sHW6v$Vl-j|JRs;A)6bqAX4xD*O+2hn^`9j0T%{8 z(0?#K0U}B65Q=nfv4t8!)wcr&mcJX-zNBZMWB$ikpzk1rCLpBfw9{VZoVJC;?(MZ`*#^WNlSz@I9BnO98 za_}C-;v-hwy8nOewmG=}p4t2V;fCO#98SviuE&E4S~f-Xd)Rv5}?H{(BcZB#STP^#kuc@=G0))^g7nl(SD&sRkA(t2QWE|0xHx^G_);0e%Zl6NBmZd6-zVQg)K@nrhLB2bnD3ySK z(*5^Dobgq25rbLYHZ&)t!HVd)?cY=3fb8UpowBlo#~tSbVxK5Um(3WNUKjRNjW5IT zC*T~x!NKLe4=IH;c4+ZN9#s(x*U)Eg!#${(llr@~ndsnTJKiFNG3qR1DPA@fs{z}q zQc{@egZTM?t!Eb&Vj7eZYZ<=hL-+we+siC%>0+PL#eVmpeCWJ^iI)(QUT0PC*tJQo zGrx#~1VO6)Y!@CC+rP&YzwA{$1eA)hqobqt?5E9Betu0}pT*|)me$sNw_E%BCBH+% zEDOE~J1^G0VFXdzWK>EXqcrK*;sxbz@-V4yR%1-pU53|a`?agl0U7`Bi5`};AUCX7 zu=9qCL`oe$=68YAVAA&P_RdZjV8Jj^kMhmoCW9x92KEU6JV{m79s*2Z-CQ`t87sRq zU1qwuyIXXsg79(}fQSA;s0lq(URV}Gu(mN}@u-JaXLW8hU+ovJ%_EZ632$CZ{7qYPnEiX)(_tb~ z+UV|zKt%ulOmGuvY&ZajL4hTC_|fbiu0vJ(zwlgxk2xnm6O}jlFOPs_E>EkFoEi}S zByak9UhiOQ`G~sZ4i_|0e2N>kPKe+ZaV8|lZsL;>1yW>`NYsD_!QrhNlRxkdP1v$l z!AdhGnX8wUC;oe?)Bi6Qk~)q-^k0rNhADOwO;qPdK154BmK(J@rh3`_Erf1u7n2wb_5dB{mA&t*>s3= zmUr4+_SOk&%}r;^m1wLk)ue7EPU#*Yw8!y46_&u~em2{@0!8#V-75i8vg<%6`WMu|6qTz)ssf*?>7 z%I}%as;We^anEr$WxaFT~xFmj#$k-D0Io$W)t20 zX~GXjz|Fa^hRAUzFc6^(Z3RdJP4w!P1;@`-opw?Pq+bAE3l0DhSTcehhVbPh$WQ;p zp$7k*LzM%6N~c2uWCaHsjJSH$lZ^-Se!9>fIvWMQzlVNr|JxU!IJ5%7tstfTUHqj6 zxyE*>FzSaFoAnPNmUedCps}tx3ToiOoe(B?tSAETJsy}>di4hY z^4sp&b^=1*E2bpHmlt|{Y4iZVwvKeSg)o8UqbN&T+s?KR_sbktUs8y9lL*Ya;J=h9 z9J64cc$iaA@BnDK{*e5VFw0wLVUB=E$e3PvNm9-#zNL*-$*BVopG1 zGvKyCRRZ;&A0ZU;pF=Ih%5ntokRDpVZm);$C=fE^%8_6ouKRk5g#!Wzg3~X$1)5dQ z4!q80ERL#5-(xqt+jHWk0GK6Vab(t7X-l2Y1yutp1i$vG%s{WAEUMp1N*lJ+mg zyZc#Q>bMjZy`X216XXX#^J*<+o7du%0Ss_OdU|>iDyo+t`*OP(bNh97(fMkxW);M! zX9hRhTEk=w_KRXbOnh_a;^rnoDvYP9Jw1{}M2?`epl1UqJc1s-86ZYo;e?j<_V*zm z+&r=v{+w|83?X$JxG$sa&ekZi-I`Kgkw|2zoGBX`8qSz9)3FhYc#fF>9B}RUNw5jX zr`-U)V>aKNj47|qANbUaA8hXIblexec!3c1{D(K<>!YT2q-k)!UrI{xF8+HTx`+)s zU8nT54sSpZ%Gk%0lxfK4m#IJuXpnt91H0D{b@9lswWY* zgQgi&nJL%nHtK66x>$4s(~|j62NDP0EQYDJOm%^Ovh>kziU3l}e~@z&{1F1O#-HV) z$bpniR!@QP68A8D%dYzC&nN~3Z*CUvp4rtd-$SGu+`AqdAVDrBN_~PH1S1WvSBRa3 zpVPsyy$-UWQ3ed7$gyT*oX{@#OB_xGrkRFN%UHbE2K~FoZK^AkZ)f>WPEMBk4R5(0 zQi-CsEXKGs?dV^OiQlLLm0g%>ASXs_`=VNkx29-8+8`<1c~zBR^j;u@0PV0|1NFMU z)D16*BMhu^REWO5e(mv)$c7WURHa{}45)f==~T1YLO{QW|f7V|UDMpW$F2ZG{5)2_04o(gbE&##x&t^fpQGhu2Q0hLwO|Zx!qOedV z?xhZoJ3nTOmMOuFl@@js2E}dwv!vYIN%0C0SmlbH$tFfa5j+iZ>9RV>xIs@b@2yY~%oQmpG{#}6W zn;b-_X%%HatWr4``9X!yTaD0p{J8`DhTrG1D%s1 zl94HC+)}h}N5K*0>XD??Av23%X3e+Di@S2{^BMRagW=tL7UDAUAPw!B(#h_uY|omeT6^5Fk1hdC9&__%$X&dTD|Iz zjUITK5I=8Nv|sA6{daiU%+Hx*bpiE49|<^oV2A&zYn<6iEF+@pL==}pE7}?cSxQ^H zW&-&SPF8N(rzBJY;S7caW?qN6NF5Q6JS8yDRJ%CJf#sOr)v!PoErsh`govQ{^Z z1oI7g<>nP~!I)?$MGcvF>K%s-ql~m~Saxrf-u)>(3VPy=M19eE|L}KG3kBrxSG@8H z(B-&5^+Lq3_d1WWuxxgaoh_Tc!`z(X+PeZ3Zb~{rG!kIEcH5jyBMfiT!sH3^j#-=PPM&IJX> z#8!RusW zEV86@Y0pU|XcB}zGb}k9OE=YIUlmA;XE_NLk7#ek6zW`nNkT+mNQK~azW5DmN!>ab zq*Yz{SrD+##vT2Gc1pLo*r+RzJu_c1`;e2fGh_&Y&Llk6S~*Py(f9UiB9s!9x{U{fp_OK+rNJ8{)mZGDz^-2ea^8F z=q^F9Ap(u#cJYk!HyIw}4|^issbuVsQBo;ONKF8J(=s|?R=Ylx_||%E3L#7EX_a>A z$DEmPk$iw;LM%@jj?N0FhAva=)~dy5=-`2?L(5VcLObogwk(mJrI>qB1|UB)gLwx4 zX~cdrf={_+h~X$A)u-NU+7(D@RZyp9FEuD)^{`}(?`t=c@YSv#yF@1$(QZ*j; zep^(wh^Gd1n5frwyi*=OW`3oOnFaU61772-@b1B2Z_wgaT-r^uR9?-v znP|{!wGdpBp}5F8S#z@taVljsJt6s8DGf2s300)CPR9}$BkxYT{h6p5rY99z4l4kQ z19gWY`WO}ag|97~W6a<2FV5?GSU5As^llv|&HkbBUl$f=ObrjTqajh`=wFqaPW89E zb?gpv0)9GN_rT-c!PS}b#rN}vEAJP59@Z=z55V^Kb>Mya63$MXDPy@@P^d!(<6~UK zJUqp12xLb~Dqc9dm)EY=Ou9?%C8I^Lkaj?2G&Arvp_X(}u?48WtyRC{=WNhKotVp# ztAv4jl~3dM)Lk?3+T?ZRTW_L&1tboUkOS;XS7}sbzs^i4hW9C!e~)r>_Cg_TF{0Y8 z-groG!h^S#7cC}(qKjI;rEKL_Z?CqEQik}>ZQ|7tLxQMpWh47Sg#^(e=GC9y98Uv3d73eoB37cwJho zW!xA54}!;Xzrh%rua#jY zc5V$qs#|uAYX-RbgY%J6{gf6kbcolAMxTxZuwT5$+{{_dIms-+)Ehf@ee2$Nvo(TW zBH9=g-NccMc;UGpWtE9Ty!6?Sea>Na^G|AIXSN=FiNDebXY;rX{VJ*e8e4RKT-Ed# zQmWf!#PYCJG;J`O9N9FMfxqbMQSd%WTDAkNhz@0A{_Z$%Y{Nyi(r?8D_y;px(I--o z@o|Z9;TO%4xk==r{{F5>EUAgMT;V<^HIa%>3F>aVxRLFUB~?Nem4TT&1?*Vl=g&d) zB^GMV%?wlvTvNIT|y+6OGP~~dP10EUt!kjV{q$Ig)z>{_ zgGfR+p-(MfwvwaRNR0RvK-|ES+Xk6cTnMN}%T9fuC7MegJF2?jI(S)UCkFknn1hsD z@+M;E4~)QYSh^TyYlC$4-eaPj2(!N`)4Q(5oCc8<{@NV4sLpNmRP zNgzTVSviBWr#BYmqFwilU~Y<|LHKBkn)(GxY5<%>C1Fb&SCT|_2U*e8ZmztL=jz71 zh5YE#LrL^neKzi`L?QWHq=HI+_g4sLcw`FKJaXlW_*8tgy@g|*=J_)w*3k;%U9pw< z3!&JkcJGi#H7MobJ>1qpatXB3Z}F+hr|$$Q`YIR z*|k{V^Fm*6bA05-;xXpNVi;RLsJqEibf|N>>wSY?LD!VvJ#3kk1u_T6fU0J)U}#AD>q4_2f=@+* zBvG;gW}DB06)*Z1>j}Vye4!kD~aIPub@=Rv4r8{=`=S)ARFs4p*R@_Cbw71(o6ZYu=$KnQtXk zRCgP}QHSmrJMV#>@b%o<^3V$XWxVVcY?Ai5pbh5&OZYJanQ_N|)CvVG1Y;VKuI+VU zFjEyqFCQ-=BGsE6-CVn*F>K20%wWsBl^yHxKJC&lC=zue=kav%?!_G2%2vCn+4N>Y zqDY=%0%F^OL=~rd`1`G*X+DErU2CjGZDbu48{H9;M%sMB_pc;UL@Lf!Q|^4(N=)6{ z)JHrsOT`x=8mRWV%-GRT*2jSTB|%Zg_}1@0%7V)Eu?z`|=Qa z4!ae@ZuqiTUcG4ZDx2!mBPe~+HSb>Ojh-_}|N7dxUc(JASktKzeRNc0@aulrZx|gy z?Ngg5nT^)x)ArcBL^$n0dlsuEPeMTI1zxV7pB;KFAEDPIKk;1k92tAzOXgGs`qc5k z=!H~JuW93w-Rtrq>Y)*nVushRK<&^HwnIw{4Ja`2_6;f_f6#s1ld=R6vBKF46_()F z+}H@PIq;_cHFs2&3f5cfRUuD?^iR*vj|_+5MY+2XL-UOXhm`+#QQd~d^H=h^Up z+ud55d}bkPQPS1LZmTOs=yQI%?EN6 zlF=CLTk`~_{6%8?G!R?u3BUA0XA3o_RBirsz6x9Rg@IA{NWpn3pRfePYMy3SM<=j@ zeMyhA2y+2Z>H-q%AaUf*SD~d0QsEWzI&k=sset`pHT{pMEslLSJhOP=L(F_*)sjzM znl@ZefQrL2)Xt|V$~Em?DS6iG{YN?35bTBaSJ0OwCZjIU3r6Pm6hKl*_L`|c-^8)0!1$M?mtpy* z6n`{8Ee#>4Q$f_yfMn2WIVA^rZb{N5HTPF<%)D;7DOc~it3?@xM{R&^|IU7Tb+*?5 zK?@2Y`NPbcJ_46v4?V|v}2hIQ4+zYp+gf0 z84Z4}Baq3m-FU*tYH?0##9tAa>+c@z98i_NqUsoG}5a4$fEd0 z?8ywU!be$BT#4tZ1n%?JBNFyIPqkh3F9+Gx0qI{bbrR+=J;=yq@q0Y>=LJNT{AIQ8 z_mx5@wqxq<2=;6tUn9t17SqaVF?0iHGK|0P%lmD+IImR zNR!v&w`bF#XA>U@BL`|7&m&|B2&fge7>ZsUKMx<4)o?N_Zy09(gH5o%15E8;1#`~}_JmhI`zd-CAc>2a4q|M+{!N+O?7S~cj> zkMpdQZLo}Q=Qv5^Q>1@|2e?$T%w5~-5UUVY)Xs^CrKF^2#HNrI`X=(L-?4Y>W*2C1rXr+{1kmDH*$u_#s^3X5$xtzSr%c<$toAlU{IEr3abEv=C zJ$&vyN$LD>j_@%VNU~U>RgkQ`W4S-DVb4YKguei-RU!M{ zha=cVY1PmN&zRt|fny^^gU}I_t&e`J%a*^k)Sq4K}l%^-LO zv7}AdLClgWz=k|S+U%C$_;U;F2qCJ>bZ=-n(CP__<%eAB+*FL#BS8s;e0wTRhv7u| zL7Nk;E3R=}zv>WfmQ%0R&#n15orH``0#qHo+xr;=I*D59F=%5g#IEBfRiH!u%g0dT z!hg{U?=Usdv%+$g%znWa$=TCQQU2y+s(SB)m?_?}#5reSRYF3*!I)cUhdsDIcfFD# zISeVbI7zMiF8)%-ERH#r)#M3(v%|tgdsoj!rL^CK_zp-A6jUN5<(a#Yz%Hve~|Rf%$$L{U;1os8@V-?GGSO&P~Tb&iUvq0Oit?9_l>4kPR(Xe z3t0up+fyn_HlqY8!a|%04IVqr?u`@vwX@$OE393ohf33Lc2qp_aqrrwrHYE#&zP&uX{hQbN z)nh3`%QJ%)DM|}g`UEaBB}|1=6ADFC+GjnRCl{Yy_4JW4TL_xURG6%5JO#bj{3JrJ zT1<*hiyH3wq`dlS>bJvSh-Waa{I-zD-7W#7?8|3oK?jb9)o(U-`W(BX&D+WHL6R_= zu{aLJqQA~BMkZc5Mx$&@dTVd#_*p+UZlpwpvHN-~S6v8-R)c^Fhj~qCBKbc2??{%z zhLQ!rHOh<@Hw+f&Je-Dn=GvNQ-fwzlyigv{;wqEQ+)Ea#5zcS&-}TihL^fbh`wzX? z?>=#RuTaK3olbP*isDTH7UuqU!t6S=p~$eVtr5ay_r9}+!Q9ea>RfjUm8Rn^Gj(h) z*aSHXiTuj$Yt)Tyda!+QdCncxqK7UylyRd-;Nz*=nyZzd08xKksk7-*KndFx2|>oZ zVVezXwoPPbzCZLco`c1Fe)z8faG!ucu^PgISMlh}?v>iYRCoXkwIp>T0y|{2f=T%m z(@;4m_Ncyx6D;A_sU{4-v^?MNeGqG~LRP@0txvnyW+ccVe0uapsUC($pDu4?)hsq_=-@(}6C-hJU((7GY#CiqBx#T7?5YSs*&|?<7;zk} zySDq9&-uE4qh0wsdIyvC{=ys*lL^PhR&ycQXLWJRefLWa4&13+3A*c=I_ z$~d`U6RSfZTa(`tQ#dV6F4ezH1#9GsM|b+^7@+P(EcZINFyeTbT~#@g!e{M&qAEf^ zD(LpcTvnLrJXa^2^BH5R)f=;aF!@_sFfjo59JU#83_k~U=r`|mm&>Ol@@)r`nFSbX z!PD?kN~t;3KQD`#@0j1tiuZ%F#9yCc==t0q)cP$gC`Ow zZT*{=*kOpJif`+Kp09-8T=v-G{Z%||;t(+d-yoE@L>i>9O(e``saxoa^-ry&14 zz(krbDcuA}X6BaVHzN4LJfNSyTg}8uiV2}E16!ZC(Skh0=jLR3ik1cdz)m+~& zMq;pnk&tSuwpz&b1y*a^(5yXWIj$5&Mq398)WDYqsD588`7FCr?MZ{Jc$%Jmyl@;`Vk3-!7P+NxL^h^4%0lTWLdX%fk`0V5g-JIC1 z9JO6n)el)Dk62M8&{@Kff#efTx}EK3!oy_hem3VmLK+_?`zUyCBy{&~no0nb$#!FL zMwcYeq#&Ta*l+Qf4JJyL4#$8fX}GYLez&&(Zm~46YxZU9Ki5|qye5okfRRfPT24F; zv;w-^oS_}KcSC)AungoOcA$d`i{9@F7zF%}1Y~?y0m>B@V4Qp^oeEEuH*UAqg=_}< z8Ka}pkGVe6)YtIkvf|8obMTxd{Rf_M*N7`DMd^W>>E7(QfDc9tQD_Hk{)1AW$-8p6c43Yb_pF&+7QxI4f9j8itw$K441^;* zLYB_#gh<*=^vY*(0nVz<^Xs}J+m&&(jbJ$2%rDjq*Cjjo`4dy_h^Z*s(J!y>;^nMe zBxz##F~Xw_stj|0Q@BlxWXD$MKijzPAzs=FHuNriepAp@ z%vS6DR(|LlRIYvTX?a#s+!on{jT0rucTNBV;0+&hB1?yDYr>3!duv*_#j`drLJJ0v`AD~xeK z^ImvBqOkJ2_3tG!2QS&xL-&VxXEX?oTkN3zcIcgPbzx;=l-^437=L;N5ULk3lZ;4o z>boLD1U~hlYP+jz}!)JiPaZ?mPQr#1GB= z#S8O{Hgs6V`|m1Zh8Nl)xI!FQek&YU?62}BAHPZF)03Nj&i$6=P3Z2UJbf^_Wu5_w zQtG%K#8idM(|KpXserfi8ZBsm2&Ag`sX@c!trjsZde7Jx@$rD~dpqn?s^S&pYfbSy z9N&ZIXG;c16{gj2NHO;303QX&x4c~Uo;`2r)p8qc>E;X>mNV+a`q*z>DZi71gSc?6 zGzeOAS*4SNK@wuc44J1+Fy%WZ>(2w`x9BXI$I1#*(zy|pT#$jz>0CBhnseg^3N0fI z8jQ?O-<5l>S8DcdKltC&`GudM((8mGfDn(8hU=tS??@Xih#~1cFgami63#je5SM{s zD-Dp^ACZnD-bOoDC9xxfD{VeZd{*me`dDXs9_$JpQ9J0K0N)%DRI|&PI^EQVj`75S(-RN^8Y;QE)Ss1U!z?0t> z?>K#mb=hnd!>;4TpcMxzN>7x7j__U zH7`qw%r@YAaz;wI<8{d+Tu!a9=h*h$1rx>QjKxd*)p|0qKdc8eIV>Gfg*xy?(m8C{ zn^VmS1#U7)JA*I6EVDfzU92WlikTh6L>4vfi5@|P&kTo;$RfAB7Pb&+GHGbt4t~y+ zDAJD%5f>MuJH2|dy8g4yu}**<0L*9_kQw0?86FM3Tnyy=IEgun2Y{UlA)!s`j>>^* zh4cz1;n(xzMJ;I6Nn|u~EpJ6hZ*D5u3g_TtQm^?HS=}3DFW6~v(f%S;5=Km3`>I+6 z$GzXw_#X?5kCUSm&;}TW{?J2sFXyFgru+28oa1cqI2a9D^qw&#fIT#D_))=Dca#wE zw!&|Qz!cFa&MWBTTc<0SK<2Wo^oLrzv+AI5*L=I&w7lsfNtHXeHMLd=Vm z3hJp^73}ob^3Ja})Cp?G=NL9mr0cXR$B5~t)3$6t7RK+bKGMm_{n$ygxOyaG1?sw$ zQ3Bh?j_Y$>z3r>k>_9J3GXw7Jn`YR0pNYstiii3dC?|*Jvb^Hg>LcQ}xDB<%!l({E z*!-l+9~Tv`s+7UX=WN@jzzglIi;2(8E2fP45pGTK15c`z8ctHtGcyww0lTgfx zO0in5l;_HZD%J`bpPdYLcn9TpCUjOy>H(_?gIn9X@yw-$f3h=kW)cDQB~Z-jG3wsO z?>N`KA2Jxw&yX20A?p813_o`Q-6zfpDMr5StOR1`yT&LjE-g0BgZe&khF+i8{i_AK zeZ4my#E6C@-Swv)I?vEhui6+`JC@-obGg{hp#uvV=1=QW#;w8wOgrLdQpocQb1qlq z-}Df(2my$MW#Jp+de0z{`@QBuhfHvpg}!{-UVqiJ`Ga-*3``56ownfsIma%* zUq!^PLS1h`9x{&Kx&u3F+eC&hEdC$5-a0DEw(t7|2@yrOKtd6a4q-sLK>_KI?(QDC z1XMr)>23u9>5id8Vn}HQh8#k=q-!5s_xx4^9nZ!ETO4bC+=vyUeb;WeO;*Nx2Jp)2{i+ zs?f^N3=LV;}6j?x9+`h~qUbY>usKIZR|-%&#J# zduS^J6btDdZk9hn|Efg)TYnv10CiD)?nt$uMJW=D>Wq`g#X>@`#Js-a2e^!_WussgrX$py3s7YVEeEC$p@_UE?RiT>vEl^#UgqoWtbAONvAt#W`epxk{Lt1Ifuzn2_? zh-6?U@uVh8YKRaS+MuohOSCWfc?*jUJm)$G@gHa<#z^59-f$D<6aN3$WJiyLsJ~e} zKATXl%G?BNiAzdRO%72Fjk_GcfxlpyAMvoCy30yfu5R%7(R(r11ASJj@Z-gG83o6& z`*(Lv@FzbD02@thxzE5Wsp&A|ybE+y?h{O_u;OX77tdZxRBSw@cnJsQbIjx*ALkYs z{*f1HjxqDHpNiwPn3&Q@tYy@eb*8{OCK9WFq3=K_5uNLS=Oh*vc~!9E06$Ru$l2)9 z%ADA;j9vn#X`1xcu7Zg_D|OPN8Pwep-_(mmZ^h~QTGuGw4TCWx-`V;_d^6P+lwK8E zbG-2tr7ZE+vfTLy$-bZUhCfDWwF)(43?eQI{=&3(@6K)iGUVmsgzl%{!{1=ke5q9# zIsO|jM#Qx9#w+ENTripf$D$oE!UW<>R|0hw_FVA< ztG{-%*%0?SNKQ?S2y8k7^O&XLY!uaiE7_DhrP=1AUv$s^E-{;GDW=KeQ;~ff6rn9R3|-^Nh^;&O)ieTBcNnocd?<>4Kml;i@n5P?1&8fPED_b`fL^s0J<4{asi@9NtC z4GovDv>qDxHl$Xyr|}2ghl<|6tlh+0df%Db6xdR@yS`S<{$@zxN1%KzR>C@cFWw-A zke0Oau8F1NrIH3;($~?^YCW+R-HT)_5+@GhWY9pQ!oH4&U=G}gX9Y2&qFz@xwv=#1 zj|rL%>sBdi0r#WOvWzJ_uop5iL&V*Nu!A!*zAwM~8fNs6-d6)iraIU6Y~J)%69wE1 zO7R+w%A|~0+DAg#7;?3{I0Q0z55Zea4C$(5B*DGHY;!KgEjz{6N*F!m4wJSQqIs>g z(&sq)*(Ht+1JzMo4rNhJ@TAEMc4A>wfIG#@;0IOOOQ1JC2h zLVCR^i)XzJo|(#0ge0&cESJ^0{3L1?lr)I_w%1C|_D>%tTRob|GIh2?QCvd*g6D{Z8$UQ>*Vw^|*I9jJV&(HfhCmwI5m&38gjO6?Vd0v- zN_a>IppxlWvyRH+qCIOa{b-KP5l61U+#+Z(7ge~z@Y=U=aJ5PmYcGU@ z=!q}saYezeV#OD0thDWcS4nn~97|E6A^5(V2j zh?Gr`oVsK_)J5_ysSALHR$yNuPT%=2TZ1;Oy0cfj36eA=R`?%||J4i$*hVAU8ou3u zvFavhGdc4-<6s)U#;}nMF|MyGB0XiTAa69K5++)4(DZd8vjMju+&-3~)-rGFFu`Q<{h1M>Nug%TJXhO9l_m?e1XY}w#K{|WEldRYG zRJ@f*5z55~Oc}Kbe<_N|nn^RoaH=ict-GI)sk(oOYTnTmV7byZi(g^q)c$h9u;sIto$=rO;!{+W`>DN=>v2nekv49iXq$Vw4A zf8fph5PH(NvDEkQ*x%X_2gueN$pAn}_LVKHGX|!v1q1EPJ3CcF%OJSB`zF=zPze)y6< zibeXw4)GJdH}vFVn$&_#r$S)r)$T`&9H7y2Je3D%LN|uV-YdS0g1FSLx%(=H7z#xp z)(o0>FOx6KL~#{ObX=OfHTZxu9%K?3_pYdueE4b72`%5G_CNtDp@*p|mEx`#{1 z9Akic)Q}*cNAvRs&RMH3_A3oj9Xrr=0&l|&)rBF%ECYE_ld2i1=l(4pjNQ5^+$Vj9 z#0@b94y;uRPkJ*kQ~Is2yJ-tP;)R5uLBK*xH>uH&WPgB*@9gY&0m>t^6OV7)TD?Cm;rCsN zXn!=A8Hc)(R9NcWZ_T}wD*Ag{M8{en4HCKpx5pc>pojqU#W1H2N(}B->#o;aH}kiC zrBne&v$IPF$y{QSQhuC?AIsgv2spy48O=7p1;_$_n|Kb5pk!N@i8Ebh#)!z=&?x}> z5y12d_pm@4I8f>y6X>@(!Or4>N7#HBH7?#axStu|`|Cq}+>Gh0feU zZQ}jKH~c#LSBSJoOV2&@K(xO<0t?9yc{$-0mmZ>wdczjJIT}7<>M%)NX1V>I1Z7Z4&{gSL`W}s#%B!iV`7;dQEQFyO zb8nV7@Uzmzw)yzN4D*c$dVkGjJ+*38_86x-vXOX=8mz>PXh>BxtKuxba7|4wRx=4*xJer^=LM zVO#WIPQib`McSw4PB%7IC3`RcRY?Tvf{O3uDNJ|jE3o%`*6?M9Gbyt6sO6d6n;-S8 z%uD>N#){*AK<(T^;kkIRRR-$RLSfyYQ-Xg-a4Hh6Ty0M^_>K30Z3j>0hl9L31dEj6 zp%rO*WnusWin(5$IIN#lwf6Bmn`RHxvby{vkIWa@tNuLhAZ1uD?dujQg*Yw{kn!W@W8kt$c80%{T(43!k# z+H$1kTC~$C1zh9@gk@$@UR_MJLY^K~M7@6mTJzE;TcG!`ySr=q$O&FmN2{Vi?2nJ8 z!2WVjqsR2+>qh>k(ySIMe>qf%kBAH_Fxe7g(~c^8C^p#V4`!6imkr$!EPz|O))1>W z$QEYWjqtWaywhUcm5h0_ZMqGW@P44jd=8bSBX^rYfgtBEwY8@KYhy8&Kgc+4Tekas zm53VU1axrIoIkBysDI?Kc#7@}j@|cHeOEq!SflE%dDk7Br zx%|>^ai*%jBpvV=_)~ns`vWt*4jJI+8=f{!CgZujPnmbwn%yKFSg|!Kp{|psnHkisok81k2+zQW%bDh}KwufY4{Ub|aBpObK_k7@q&J0m? zzvcughPLYVre9Ohi6t6&ok?_hK|yhLbgNn^uQ?e!B>FIy1sCjE|Kahm!_UT_;A|F(y?U`@=7RLeGh;L}lMPoZ; z#btv&Da_BG;h1c@#f3o=Rod z2KlRg!FyQb^2Poxm3smcDw{q6#0i)CQn`R+Lih&6`Onbq0yn}Je{!bFO(fVpR}~8g zluw0*$3YdkUGX<-w4IFO4!9voO6*zay#>uFp(3R@vZcRgDLqZiaos72mj(#4j%T+| z4cFg6P0d*tE7a)N>rd+OUOsd7az4??$9tKFzq%dEYB(GR9DM47_x*}Dy`2p^<%Z;Vpq!xqI}#R?idHv zAGAl)H7Xh9NIMR;?Nz}&P2SIn-3LTqtr2> zmk}jJl?y_@sbVj#PwL}exxQDcs0Zu-!z7S(hXA1fH<3__+lyMI-a(8>r`jP(5Aos@ z+cL^-zkiNF%n>CAd-}>38RHLM6`56CUwLHkd&eAQ85^Jw4cxH;(41!p=?u;8Z&8XX zabZ3wZqznpJ6x6t%e29Hrkv6^Uo0t$^P%1N`F*Zq+54BD>IpL6TUO-`MSwa)xt%+g zhbNy&XV^u$S?Cj~55pxLTch9!zYnX%s(QXIN!R_~!@b;XL`MVVMYW;RJ=i+s9Z9V8 zCNQz0kfM_1vYnNEx7hrkMr60={^wlBBh;r(ui5@djO0vjwI@|}p28O9Wxi{S@<+}~ zS1EN#klu-x2vm2D%k0M;Xr+kuA*xRx=q$|L5?U0OtE71Nwi3!!F|~>=&RVekyi=_h zGHg@1`YW?$O#0^MrW;hmc$a1Z54|qWba-YhY}cw_46kbAM*=JT*jVT&qT zAU^?peck?nnR^^k!PH;Bjqy~qrYDzf;l(x-I4Hoa2OKPZt6EvKFL{rCNk9R&;>kc$ zgz{huW;B%+yN;)Mlp0sk0>b0Ez+3Hkn0T#_cg3>SmemOYRH58ePiyil8dT?yn)Pr|5UcRC7X2P3h##2odka@0kB*A8u1#!NXng3PMrLP)^QT5Wn+KH-MF zON`Mci!aMnqO@u*^6n?~39-j=C-rl&q(@i$m)oE={_P=9FhK4)0GJ&wolZJg;6Im?DoVhWSA(PTyZ!^~x`Y;Y5xv?*f6SJ}{-vmI(l~uBhliVg2D7O#Q z*-ZNlc|`PO@@a8{q~WrC#>;nP1@&*p$gb5VGnDbg8iLbQeUPW<;z=tC2_n1KWz#|I z*H`1kb>6oxc`a^lzkeXW{$$C{DE0bvL>xhzF^6F}k(|fjIAtBo01{f=^T6W7@`t9C zn~>cJYG0h}fu5(F1ey&F6I1#%$HP^gAge#z`s*VuxT~$Tw_nH2E@p1H&VCow$#f-} zQtChY!4=ihTm7zvvH>04;6?tCPYv&D?K||wzq>iedD75t`hWtiVc#@IkY;;=OQ$Lr ziLY#F7Y~$|f3hqlwbAdePj^RqnrgYNPa$5lv!|q%pn!fls_)?%l5{P1@bpJmyq>iX zT}4r@Hc|@yl)@JYAHmr~+Kvn@B?{Js#pT3o2jBiDf2Jta9?40KrpR;I@ti-ak%%QD z@uf#?&-+ujC|EpzSAgc_K^(yOokf!!%pWAf_xHAUJ4V`_M@r`l?_CY;mZl@{t5ggn z!l{zK5Hl#V`IG8H*sMJAq&Z(D0x1`4mBNzILGDMU;1;5I#d=E`d$twr?AzW>OPO)V>4HZd$i z8irJ)Pn14FoP$Qu^L~N;;*oF_;Rt78EO6m#%%7RtL;1QPj3EYwr5< zJ=GdT0`J5zn5$+sx4~}*2D!L{4a>OumlFKmCMTA0j*9KIL*jX&1y6zSvTtR3^F->^ z?7eAS4AwdeKE~yOKF?~1CvZdpw}bmxs)_IM`WUalVGb31mHL#3 zvG1Ky^C$qssR#$lotJ(cw=suIm5e$1%cc#_&EEvu2D998T}kad#=i6H4VR z4s^Jzum*c`!!kbpM=jsEJ-GLAWc)7{Z-H6B9$Dn$VCd8=WY`;zcd8NHqQPtK=7KBe zTw0BotCZ%#(~nvbb|Tm8{kaS%#th`2jHytSUFLv?oE`t)(E6k`zjJaY@B*| z`7|Ijh|wT9VD0OyPQK*vHu%EeARD*Sm-}Ua)R8*O%W7x^^vNR$hX-||lWVW!eB@WUl~hO$$APm;PMklOEz#B(X$h zx?9FBB?&*`6B}ZK6uP(d;7SWul4 z@8_YNVIcy|^_6^Hz8=Oe&d^cVfpu;4rEvg(nOaqA-pn)M>5LS`8L(Ti)7$#D%L3<3 zskV$yJUTK^T#|gYch*q^iJD0fy5P)~c=BAiVez>PU zjrf)?mR#^I){Yl}Sm`Hm+0z{hDpjbGElO*gniLDQl_14^_UxGz{*SwX8)#M$=vsVJ zulu*r`Mx4^39&fX%{#tU^%@$jEeo#1__@~hIBY%oCcXT%)*%BnJMoE-Gy#0dRn}6& z!Y>)v9TQecC4Ke%P4zb&x1n~kD?`8fqr&M{2_e4vb{Y4NDe)j0uQ?L?Y{m-;aPRr^ zH9_2!$c;5o&WpA(8?^>bvKR;I&lsiiDua=qvELwOx>AZAO8Wn*a3;;qa1HA2d|vc1 z*o@ulZk`6J;^w*MG8qx$z35r8-$jLA7$Y`ZTZL^$x&!OBH-FuAVcM+={~YV{1%eW! zBVr=udj99ifV6*lTyA;tO0AwR67(G+E;Dzsj(LHT={_{Ynbm!S3W_c|tpo>Y{VT4y zYRbf6tM^)RV`YDCVz7z|X4<7=2!-SN9asU-T9%f6Y?}G@j$^xLrXaqt&w6H;=vGag zuTRR5zc47hB;&?!3pf*vn71GBCvdkFPcF3`Q9BGWS!~ABgmOpXS@|#>V?iY=5i8x` z{v#5v$@jfxzG~%hyTM}`IQM3A)0I${RV11MANKYJJ`J${k2g@%!l~Z%JEc5>0;JSQ z@?Be=Zi|h>e~I<=OUjH|b1)!DA}P??cr!8=Qh#54mCDi{N>4ZO-SYVyjJSHA&c9Ne zG_b8n#8Ycz!KzlKeCR;Um?`_up7RWvYsJLdjSz8Gi_B9J7cK)_61t@0Y0ElZ)h zwtf=+(F7+w>&y4~9OA$7s>E%3lR$mI?j%6WM!a1i{CZW7BDGwo&7$IC5NNcBB9GS2 zWO=r3{6O)fT+tWF729}|DZmw3XV5HqSrgZpKqcz)dNX?AbChB4P@4eTV^5g6-ye-6 z}x-1%esaUqATQNlUtlj*uctT2d88aGtA zWk`Q=Oy*MZ$&>d0Z}SSVGIC48WkK;6tQ!6eqqdb4SOYOlnLL=3NUBmx$xxq;S|G

8}@|bE1uNf!#~pX`oDVj1dGkvow^Ic zfJX@fYFqlYT%d?!9@pmfHnebM{GGpk+(N|27fB2Sy(E{YSuB|+QohKsVJX|%Zgu+Q zbh;SOA1%NL7ILUkCuLYAM5+SNpb3#vbY+}&8-a^Z2NFk0Md~GEbk;}dU5>qf)g-e6<=-*<|vF}V>4v)Pm{hG7AFvSPn{lT!@Dt3Zsx9* z$0N=KoS)upm$6DXVbWaUXJap1@vUO0`g5XudfVHAkxC`=y4Y{#Gi@qNF;(0Dd@ZmB z>UTmCrT}v_-r0&r!)g!Dl=myjjO*p!`h0WUKoosBG3cAH;}ttZ0;4avs;|Xn_mQ?T zTC=lDZYirNaVHBOX!+#iu;q4ee8EelWRU(I;qpF>eSNDFqiP|F_>^34Fg5r1<)&rm z+t>QOpO6cC3Q$Oru8NJrm|!wDIRGtJ%hyc@1|!k9^mC-COsyP;2s-|om^OM4V;UUW8@lv&=N0xlE?8KoKi zO{d9Z4qzDIJqn4nR8Cj;&StzTNdBK)SL_Q$Qb>wUiYYWrYjWxDpY71GwS+O!gXTFl ze(HDR77GP6o{ClDXFymOW%Bk56LGZ2L6RGq=%4qzq>8t%^)43+dO4YrWk}S34A$m# zWS9^xpOVEh76>9hP&l>v*kERzXPG63<)cfz1{p#JoUc-92!`)nAnWbo!&GAQE=xAr z3kR|)H(dED(6alNO(^J(-^FZY_+xy*Xo=E?UxWT%1x~=}aP32>xE!ep+MilIJ)^CA z0{0u%4C|No8+n*&)i%hRN(CC7d8RHc@%zFXH!2hA_h1OUhe$U>-}WtOti)gxd7?03 zH)WDSFLBu{YKD9@^K(c2VbRom`ow@k6i7WR0-FRp4%7{Ks- zh>z{jCyTeJ5JUiqqrYMWvkQP9uC#1yL;%DSuS!qWd`1msKw|q>TUaZu<6-kZ6M;~E zl&_MLbyWDioXpSm3Ooq;MTJuoeGj8v|APj$cFRD3Yivxb5)jkFo_R$?FdB16A37tE%U zrFJ;&aNOR0X!$no@c1v5>rf$iMyznoAc?25ievsa5l3~G#sGh0u7OKvn8@z96l{H% zvMx`f6vu#9DHG8Nw|^VG(I@yYpC`}|oRnV--Do8#x6$@B7xAcY4tao z`jr(;n3i|(5!93w2eC5Z@lTArW#+q|%A1Rr8NFRp%ke;^=L(Oj1vUZ1M);(-{ZLPE`$;+78O~ACN-AT>R|}7_$Y8qV0(9 z%?fEY=`2o+Oqu~qqTOYM4oLTpMmn1V-hybhY@Q+3J|}l z8ya+#=~rIpA_!a-8L{?INGJK=GQZ-g#5C;GVRk8aOLtTu<1)GWp_-b5B&CJJJPC`D zNTBfuYXFqA;T;z3KUNqsuJ{cq(ep%hb04~JF`V#IBO=9l9lIBnUO2jkBNY_=k)i*< z5qx^c$O-g<76lp*A-M`SzN*lNyo7XdSWAA=CfnN&KuU&9`W&15pyN{*RT7UWce4^Me=> z2#fa$I6tyis2k3qVCoMU&Y=G+F|px(`d_nqi$BFCp244jri=>i(Xk({+*E8z<7=*C zIUDr4BDdz)xV(5EIGU1EKQeJ_0-ODVNMej!Gw5%5_g*OaOB z^%{`;l}j{P={eVT!Km)xIbSiHKdJv|o-=q=?^B07+lF$kx9LDhq!mTb?F|t?`7W;G zLMbTW&U=FIl}`@O9N}K*&pL(^Ft?S z09jaNWy^{PrEw?7px%T!9)o9nNyY~S{9K0Z4ac`?8H}@H@cD?#6D`NmKBd>XEkhBC zZ*bZNF&@8y>b9jf!JR;Ewxr;9#Ar&Ko?1mS*J;ND9gJt5lJ9wJQ~AuYzrUaQCND^d zhAGdsP^QMqlWjvI{9!&Xe39~`tDD(}s1Q2Kv_q6Wn)xXArP%1F>(>RB0@G9jCua8o zzpQMhf$heEQ`t(a@m{a`kZMNFwl9nJP@*!L*@qNbMf2tVu?qz?A$rVA! zZCLsSwj3~JigHDg4&RR%$HSzzwAvDW=3(C8vbXEly}Qf6?KP+Rc~Nk~UP(O?F!O^t zO}Ke9ZoR(c28OEP{TK^Tw=$Q``uVw|YVsfYG3>}k!LDJQ7_p2Nvnb8UetK})Be-G@ zQL3@Q<0tjiD~Yp6enibJvR+2c(eH#G1}j0Pv8q1ZFWdj-N^(R(b?1>uH-aeNsEM0~=LWof zoZ9BVw-OOysmqwBoLZjx(coQo=1NtTXFSJ|F%;#h`e*0YH}iY( zR8z#!MJ1Ks*OXCaQ4hOUEU}MJhT9KQxx`Xc-8?kLo&e{8{RFG3Opg(d15{LgPcF8D zyh;#9cqRH#4e^M(B&U%4p7-+hSCmu9sj=1CS?tTnn#IZ?v`yiebjpu;8kI>0P} zqG7a?L3X0`Y`*C$q!<3#iaK3(jY{wJp!Bea{h-1fJS^gJ56vZ(@se><105?gz8CV+ zYff%Nd7PAPOZDzl!*{Fcp{K(StL}NqiBOK=*Qk8ad-LJSf?RjM?L)hc(@`bf*s-A! zZXY@qdLqoCD@pzH(^MlD=1EG=jl%AyH2DbB3_VfxRsD9#&?LO&T+&d#+YMs?i3*0i zbZLrq1eI+yupFqAt+yu!1O+D##7?0*+ca_>tyLODU0?mDo)`m)#(2Nm+2%gqQ~vf} z1#+V{7@i_C59bK>>jAyW`+)|rxCY=@+ylQ1pDmq>HmI!yBYTbB@xM6n1!wZ3e$niQ4M9IsPenX&?45GKL&7;V1bfS2vsQ3lE4Ydmi_zpGq6uzH93oZ!Fb=UbD4nNR``~^RD0^9h+W!2 zC0>d4f@YQjH#25^(A)4tBjRN4zynO9Dy3J@!r1?0HQI9(85KzYm0~}CILmy~(-=K|jPn+HE%F0MT=ACkIOlxUYp;nVN z@77qWh;s@4BLIEFDbXK()bONtyv�^L}DWv;J}d)v4Fs_T0=73h*&htPtM|3VU@} zJe(^Zq8S6z>kg*?z}G)UvGr3^MOqk3$O+Ky5>-PJFnO&L4+;Rf(+~ToLKCq*gmoZ& zd-ELa90IppyHUqFTiLVkw5#=aQr*Q=2W1#}Gq(8d72#*~9ZKS!oQfjz7i2tuy``_M z-lY(PZ7**E0{n9X)1&i&#}3EZW6M1kwLbPXPJxbS0CbyHRcx_an0CIoIvM}b!2LS* z_RBW(GxiE@!VVNY3mI$#7N2pk%>~=gSRz3zXr+~yhR<7d>A01zriS|Zrit`oN@Q;e z4V9)pnumWoLaA%q<-@`fA`HP?i2qM~Dja|pc&sd?r||qX))`-s$hL7{Vt<6DlcjX1 zFh$-quN(%FxoyG_%J3rQeVDozH*x7eYlgYp6UEg3KSWilHh<9KJi*`p7x;S5 z6svLb$`K|BWa=N8g`lSt9)loCtrht5RamcX%@o>T?ny7=)Mu{h!uF20G(K9=&%ryp ze|wKYYER0}rozqiX8|t6VB(9&+@STo_1PMc)eB5q%K$9QM+V{=#MR@glR*Lw=`ihh zS4S!~NB<-=!ZwxAOfzmF1|c+1ouR={UmasXNVxu;vom4UyMc+>U!+H4on9C#3~(`tGC=z!cw+ z)6eS0hgCUsQiaojkx^cBp`U%Q4+=g z&KZ)HF=5iq*U?cs4Q{F!p;`KJKUbt25>=<0Ct41e77yPAl z6E7#^hg1JeZafyQGB*i;ZG%2CFqlddx#UNCo4Y85wnzB;K- zq9Zp>4BH})G7Z>cx)V!Chwek)R<2?hiz-jjg+c~q@&bp0BVInMbDQNAi2>8a6{M&xQj!Jt+f%g%8FQT!rpxM5nnmbEQE`ut z?jhCJAu~O2*-x!=cBz&|HiRksX_uJ-?8jugzH7pzh-yN#^4q`3;|?cTl$})i&5zN3 z`0ytX@x_I!#jXz_meZ?6(9ohD%E&)L%s-Q@w6avvm#I`%^-sTcUQ3xq4Mq0V`~>;o zK@apO*;?1~<)N=iCbtC@3Rb%h{wfX_+D-j&HJP$KnvM+b@JtV>J-YGh>SwC=aYyHOnSc>fHc;BPsos&Nh@iqSxUxDI(1-P8K%si!$Gqg`*S7BLL;C zeCe4`x*trJKXruKq{Dwu-E%B|a#Go|^RIB2D)L}&1Ai%1C?LcnR1oMhd?#*vs4#an zz(*qoV$0%bz4K48ARtpp&{!mM6?C+0TTb%+r&B?nH2lQkB%?5}3jfu^IaNddAEQl< zq-YckKmDruT)KW0VCzHNLlQAyeIj+X!m06v@^B;7FY-fArctT%X)H5$%R|Vu>p_Rx zX#8jiOEkjh&(I~N>6qI)(UVk~Bs?JW4tL5_VHjff85v^`-7lZVd&7&GE ztQc>uS|1NJU?R9AvRf)g!hy6>(NaRG)QF&%W{K>&DU|_fEq^6$5kqHS!2Zct^$bB@p_5nJr6=H z%3YQ%Ro7JslC;T-`fcPkwiSrr8m~9%RnwolVxYD113zb};-9M}4NH;K?b0+gQd+Os zsjS%Dz7l5KQp9+eo`?GqxNn!&);tc&jyL$3?n?L0Y`4pRtSf1_SSRs^qcPKyVS$yY zEl#TfRjz?b&~EokT0W#5gv5OLRt2TM=(KsHAX#A&jC?@A9dWlBUj8fs1e2C@#{r{@ zE`Vl!*?53hnA14e3pgo8I)WwL+g4;{n#k@*94QEM{DFsi?F=cTVM)2%rl_8O9h20D z$XE14z^iW|w2q}Pu6_wlsE73DmCXTg2iN40nR9ew2_0dEMchME*_+rOS(r&Zdfg`b z-DN07l2%PXemu;S@>g1`-y|5iMU9EgDfK6{Q2gEC>em0H?@zy0vC6OR&*j!%$y6Qr zY<;)lU3k7h-gTT*Tzv3_gbI+#vX!sO?=QU1D_g{QIEU79sX!%q(3u&wN6Rcg8$(s6 zaab|E5Bi)BJH$#@BqP zjjzPeX&vj@`XNIH!F5 z2PacNC=zU^q&MyLb)vM4CL{001uzP3(-U4OMcImEWW8P|9v^V|HFGcEboN_KbcCuBX4sa zW0~KeuRWW++$(vnRa78Mh9<%X-d$r}2nOk)qQoNg9AQ|1pbVJe_`>_*Y@fNxS`NL+ z#$iTA-hL+x@m$_rBruyPFg}^ymlJ{FEwN3ec1ab1P{XLe%B>WjuPTuBFp|V=rvxg# zC$U>L6G9}Ntvh1jIiE}lFbUD->wS4dZ!R3bgmKNKP(#?%2z%uEq`ppYU%NIT0Ca%H z$?IFmN8k$N7b0nwWYtl*yCPz;I{>`+k89`N$Tt?-5gis+#>}u%1~DM~gn*duJ;3v6 z9Na4^Y}odQ)#;D=FAX-Co6Uq4!)pH~sjQGX1Xf}z&%8>%dYyJXj56J;64 zwS8|3`g#wT9QUoH{nK}q=M{kA@@`RekiJ?Q3_@Uvti@Iyd9#;NJGM^hW97LFQ!jQZ z>S@qCTHJOovAo2nlV4Th)E#Y__wl=3lyW;8IQD=A>tbK%OZrhe8hE>xkcQ4L zHu^(1{dtC}Vuqrqf}~YIgd1iPcqX^stqaZflHH`8u-b}hYf+mK4*VjVp}tvnep>_E zgTm9^>%l=Xt7}0!yb?*snz_*XT_sNTD@we{c0{ER-0KB|4I6;OLM1T+%JV7a8?dhq zPL-FClJ_qCXTr;xsv>&IWOUUZru`34Oc%fNAC1GfdV76l_RP3hjnie=gYB9@LD@A$ z0VpG+cMvR;Rv-(9P%!vzrNMXj^-cqAMug#Wic}HkW;0or;_aC=qBTI;ilPO&rGXYW zEX?g%5=(EIHaHU?cSx4mR1fwufMGd;Sdj+kWgE+l)B4{lo@VweDPu-(xW|Q@XY7Hv zzAmer0eds}s4qACnZiD@;oVzj4E!7wxm+s!c==>uW^hHeBYQ^U^e)EwU4`i~zs%`G zsrR9jZw|6D5&Z2U*RQ3aN{K(+;51~2`rvQ6*U9Oz0{wV_>ZC`e%e8YK-@)&__eCa~ z<7xV**KAL2dz!u1qX29hkS7CP!{=iMci<*HOq?sG`}w~SCDo)#@d_W)cj>Aw6e#}J z$Of(2;c-x(RE;u71iXw*{H2N{$g)ZRPB+bkr(})RrVnBoiCZ>|A2s!P$WrX2nA6Jq zcB2CQYI%PdmNz+?oeKRIEk;6Q{+NnKJqd$k@vsyR{RCmBIT3AvGJo9M@`}tRY4bsKNro}`@6Yy0TUY7)jB9V zl?PnhygMXX^-1rB$A!x?9nB+gq>Io`q6AuQ!Fy$5r(YW~+{K;cq&U!#7iGhXt@8nF zntYe?SJ=9euIS-VzbBl^cQRg@Ni zGJn{&0}V6pIem&MZjxMiFY@VpUTM$#eiqR=m)`$5QA58rM_^U;gPqnhYv&Z{f0|c| zl)pKp55AHwuvrF^4T8a3hsCxJ7-)f9Rzr7h_ycbI*go^HLzLib6}{bTn3YK`Lwv-z zQmc=*YFv}v#bjn#mDt5x{i$TUZMY*Q(E0TV`T=cZ_zE0qF<36wKTB7Sw>}ZLrTOFcA~yEN2TiL*mrxJ46U)B-ci?V#hi3FW-R+uh_C^190@}&$ zT)49TVO-7g$)+#zjzn=0IbBwxY(qrGj*6HV&IMQ~|eh`bK zj9tVXvRD}MpxDvPgekp^eD8wC-}_9M+ue5xT+a8$l0Mdx$)ciKd~ve;4W94$btSSyx|om~e9 zFXVaRZh=J$Q5wwTUuCb7ij57vs^yocl!uAzzR`AMpc5OCRR+}48#ckYcCARc%+Iza z2N%nUtwp8Qk4C+A)_kru?Vqf_VZJ&J$odsJf_Zb1=&;|Ao|W66&H;4^bb5}7w($Pq zd8Vicp#ObMa&H`Ng5EEk{~b2vw{%ds$Hk1$V-_3QQzeLFDmt7^JZo}<@yXoXZ6XZ) z)5o4tT((NJ>V1+|dx7a}&m_!#OR|3X?Q@`qQ690A_p=>X4`)W@~ ztbMUP3iMOo8m5JCWWUN4SLgUBl{vgWbfDQ`w46>0D1n+5e zpL=JB{1dN#iQ$VpDZMM7o+u~IHs-~}?ohaJ*>H8idGns9$-Q{a=Lv%uu*44_ld{pm zuz~Q_aS;FaaOsVj(x)L?9oDWb?$b?!HoTW={Qn#*da1Mrv~UDvQ8ot_Y5h4v3K@OK z%L_i%%}`cI@4K5|OZ^BKzZ{s0s>DoTpgfbv$w3xIz36%nVHV>J;srV<4wN^Gct;$u zDa^4&O6O2YIHk%-y^N}h&TkS=g=KB(m%BVdKi_Y(&?G%#7c3K%ZVyWj&8x0X`XE#(kUHy|h)R~<7 zBUF?fjW@?B7GneKT$f@$bilwv8Tv+Q|HOwKR1_l|G(x9#A;xH6ALVF8;b^}B0=Ov&fsW`HjpvopX! zO7UEC+!v4~an{`!S1l2=^qIp`>znwhqSEBXn^S8KOPglt7o+hV zaAtgecb6w+*UPAS6p!BiP*R!RsKdi#{=3=4|7*wHHOG;J4aR&q;86l{yIs2NpTpMc zg-WNfBfhd=fatiEzV)Si%k4Q?J+V~&%Vj#X7RmQEYsHbz7kL*g8orf(?Guthrl_$G z$|Hy}@@AJ)F12)fu71!81BIKwOxLE2>)WD2U5?9s51ItMpWrOJjjcfH)9& zRo&~QA8s~rk&sl=%`EwW1~|Q**#X;?DR%y|fDWg>8*F;@c<|guVoL|9#@< zd;YBHVwAVKhMPU*+0QO$jkb89yCrc-5CK0Ajh3_h6a-OcU4a;9&>BynvZ6HM6!JxS zaX%=Nmyi#=_({@AZdjMd)j0Ds+D=-9btv_LAn%j6%~QcAZ`n7SOSct%gJqS#!3n~s zwdd-Q^>y4|Uwxp2d@f`WK$%g2Dd{m`J>}gLokd#o;<QBia1zj)+)QvoUNy%_0~vL~cP*EnGlO?uWtaf_1s0*k`w{fgU^{FsR$#b6GmyNe+KG9@W57^_-qHYI+!ve|t9X|9z~{Bkys!sY{Qry7}D zJs81-Dr(*B7jTQo%R}tA3N5d zVl2V_Zu!T5kP=_~6Zl@L_mwF{EcfA!g&GKOy`DT&*`4%q8ftILt?i!5#{cKxhz)g& zK#?P492S`Ia_($h%P?#`WUT)5ocj46eAM?(pS*yY1JTonnk`-U!ndu%W*}Ft!U1K8 zGr`&RJ=2EIbAVYyCnA22@aO%nfw6aWfocYwF6i`@D<0Z+?Pq`k@fb~B&^udyo{)>a zsw?*qENC7;oS44;VU=!@BoYMnW<_J;Q?%b>r11?|AR@{28n)ihwd84speU_~kHju3 zGCrxBdH+TGi_$~I+{Vqm;~JyqpR<|jiyv#(Xm-NCeQ=Gt*TXKkpCrZ~By@X8cC%<< zcQ9l(`Mt5m2UYlM)Nm{1{#`aixIh0CwCX?wOT*6ypsCq!uIS_(Y&kK3qmw1+Luma*iK@0oIHn_6(Ef9!Y2bHrWPm5*RQg|mVV$7g*S<0#*oZGKB%i>E34 z^41}5TpB?`Lm@g4lxNI1GvBZlNQlR$KWOkc!fm?VtdYsZ`>XuR*({4Y3tE3-N>eD)WOhfGRNh#wW<@W%c=SZsfNHBW5E z(olAOGAt$r9z!>qb#;TCG9>>`WnUc?RTS+#fnLcg?-`)ZY8I&$;{jHcSTDH59mG4-0lp z8&@`s@cBRe)Axb;za(d9U^ym^kxyR$9R>XOAe8cX@V_w}Uq0ezuUbJYCG@$}1Lw`t zxbt;JbENh3qlaCz=Vd=XtQH!+kI3M7LBNS>f;}}-u<{v&y4{7?#=;RxAy`2zc4atm zMgRIQTf<(_c#V~fC`CgV)Qg0MFrQc4Rklp%B7uRF-9*~2(uw~1{^ZT`iO(U#upvU0 zG|KFdxg$D+3n?S!?w*UP=dus{vr43o3t;sA?@^K83)f5R_zGouZ^W9{T0qb>-^wq< zf5u+7VrlYU;T=iN&6rEwwdJ!)<}XO*zXRsIB-A#9V|4Q=ds$31KU0m~nndA>VeO|QmG!aIk9Dm>V zQ^1kx(>)xHLqNVyChtq_#~aK9Ld3dH)+X*TH z&#&_KGLuMC<{KK3-&~KsJ)t*sio~)UOj0L$UX~`|d=O=|u)eTx!V3X=da~uSEN%81 zYI;Q|e>mF2)mvJ997}kbQj*aWGfK{5Z(y&}f?D3|z!d+Eb5R#WV?uikGddEMSO;D)9?Bk&ecPmN-?n}+ z@6s=F)2aivP2#{#wdcU$8fAIIrRT*!DVS&s@7K=~7LkEWKmJ$u1k!RFG|YENt~hXTdIN&Uj{K$dBYP>eLqLDB)Cq@I;wAbi11dA3F5dTcs6htq=l9U$sP zjQKe!%XM$g@J^e}Le1zAWw{wz10S!!`L9{f=7)I%SQcO04Ctu^+giPkPj>^~%!;@T z+W3LR;Dt)@GC+&XoJA>-5@yN=g`fZYVf87!@fp8O;nwZsA~V(gUXIi#Jm{^vd43;d z8re4URqSYZ0RmxGTh%?Ck_KXXC0W18D+?}8X!9Xn18OY}A(PFb zn5U4wCMx@`S8l&b&K@GA(`l)@w50`4e$dkjP&QCJkQi-O4w8aeiv#hlD`^kas}C+C zZt>P^jf`(m9ErM9qP|VUm_OU2nM2gqgV58HhS*RQ539Nz()@KkM`qosesvBg6ga$m zoj2u3Pl%qUzZ1#y^!&`H@vdk8Z-3nEZ_VRqQKO9agh7vvi z5|0=Z?YYJX_DL!x{BMae+G59{cJ;J1hd}^mco9UDaga23h7z5Ls?&I8UZ0*<4=iJi z{r(?GFgXk@{T#drwmHDNIacs)7vv^%J-`HvH2m3sSoX$G8^SkUTiIyu^Q@agPb}m; z;%J-ab)|Io&LoDrAlfF1z=?>^N}LeMt@E zcD~!I^{@WDN&{GFb`JT7(cyro%v?%>PKH76{MK*~B! zNTE$Lb7I_-@!6T5)rvJe7LR?3E9CM_ zsrIAJN#pT|rvfZ@M(M{YLH5o(1%H8+V zn87+aaw_x3y)Q#sc2BC@E1v{fkBh9r47E97-%ft2%v9u7;UC;gNP)2YmHWFxvL?iN zCX-D@hC9<6k-=}s6D$*8%hpyO3&Bn*YPpIO=uC-9WtvVVYQfyK>+A^SsY;P2I$yGy zZ|XdB7_5z!N!y}}WfK>eJerIXn~z~M`TtSwY2}mV-<>tZjsjk{2g4s$ZAuqfOwoj< zXuC3Bco*5C2Pdd569ziVcvdS<{8G(`#R_u)^a+LD6k(-;1dqS7K(#wtz%Ii97TxJU z&!n4^n@wEbLol_@povlJJlJyV+VS#S1`$a|VfEh%7Qfx!@4K1IST8$X%}Row!72Cwf->aw&6 zOiywiDXqEko_&f7(k$BE(WT7O{*zf8NYk{evwS+(uE)*GS$6l`PGk0zrO8o`^o=sv zobg8fRl9&3?iAj`dMp=r!hPLij0~*{IrR!Ode3>yLyG@H{ z)$Gv2t`)WbHP)9GS;8-4o(t}%J?S&^O3SJ53~i$-Y{#9nqxCn99m_V#xQ4EDr^6c3 zGG-Q}u#;U62LSo#~`1qc_kMY~$07xS8nuC+*>8fUQ5NmlOn`luaYc6JR+ z8#}A5oT4u5r9pe=o5DSaEcTH-64rE?Mc+adt>&C2CDzxldM`$8xTdxu71=Zy*%*Ox z!)BnR`hqYQL2itY+lg=EHKTleAOo+hj)!NHfUWp_iLp_-oyc=J>{*2LXGYkRU6B%- z658LF8%^$ytutwJe)c~LT2@AvOCsQS_+ZSH#H+LI-(*sbAw@1x{KnNYTWO`$Ffsg~ zm$f~)Xyp3m?Qo=4LN9Dy1OvDJo!-9H#@sKA;C9leLpZMBA^htVS8SPlKCBaYujrFa zQ>_H;nt>1K<8s_G7+hGi9?nuvFP_Tl}(7@0Vdu zAFHdIpV{(63OuG`R76+t(J3uY8#s%9!jyw8Wzwmg?&y-eNn{~;$An3Q;mvq04aqde zqJa_I4#&r~WO%0-)^+g}siFmsC4DNt*;3gG zdGtlqUZvW86N@M%aN#Eoav7hsAUR4 z^q*ajI`;Pzc5b?Q!a5dNx_^t)3ixOaplOEg%VV6+h^US9-iwmt6vbjY!lb6Db$YbA zCv+BKRZ0bR#l1$0>y*c}G0=@yq=#8}kT9#iy>$jWKgW7ePw{?g$&_of+IfwMtU=+~ z(8X7o?=;DUMVh@=6HU z^V$%ct=3*GWFV4qQ|Oh+f6jj83$Jrf3PB{I1s#B%e-8+&$(|9-EJ+Llwq zrRdHxqspHaXhhpOCBiRi7W3$g6RqU6tj>hcffD z8fJz!`uc&}M8uvf*@*H-)Z9m0sN3+3W)yd4qq2QJB2to&^gLbtcWrqG2_f8#6S)To zY|?M+Sq|(*_V$Vpqvoy`wc0+{ueXT^DGuEVD<_BF?jGUulawiGhEms2W4_Bs^fg@&@UJ* zOF>4Z;UgHLcRriH)XEEWTEFrkqG*qs-qKP7D?c`G6(CTYa=UvlKakR-(5^YV7!$ZU zDLn03pc-RV_-<|jk@#|9@V{yV$Mu5I=u}~T|6YJqxb98WY!Z3EMY6KML=17iY%UkO zb}LFESY|l0om7tNU==4Y+Dag^l9c{IQ)*ZHXF~hWW=CNi**7?y=}^%QbtVbH4{4v! z(g_^qNPr5{3NAj+X38IP3I3&pOb z5s47~6t~C-iUAMp%pEbO`)7qM7o=dVwcDJk!B*-ni9mbC4?3q%SB{n@Xt&`uyC07ndkv@!%}y$>62F(=co`avEHmJhX-yjB ziM-C2Pg6`!Y#%9i?y{#Tdnpet}GHu4%*1Q+3DSjT7b%Rt{cSi!jpHD!7u!rN6y8oMzTp}*W*<*N8*6g3r1)G9 zn`U@Youw@A?eIa6JxF_}`$3sbs$2(rq{}s=O5+a?MleqIhA`MFbx2to4WZxfItuOT zuesP>$Bde2=c;0OIq{HB(NVq0YA`qmKo$)VrHwmCkAU5I{F;B?b@9qwBEUtRrJNw2 z6xGAkC?L?CqOPH~aQ=3lHgny-L|rlU`X$Ak+m_>(@u8PwCAy~j&)+(h^08IQyGQab zFUEydOhegsaW-y3De{om^Fp3gcFl;sxgNUMMBFKnWliHy;+S-Gwi!iWj+*J)rBfKC zMMT_axR*ja^C;f+MPBZPE8j3RZ$E!c_bAgmTJd>!_T-*r4^_6kE^G=Z4=6<$Oz$^4 zRHQqkCX>-B=^IQhC)zNh$>jbwk%q~{Ci?FM9HrLsWZFYJQ9YUZ^akaOFi$~YTAS)P zlm^8N-dP1vT6;d_XrGpl=G~(AhF^JbQ@;<_z^1m`?N0eZ&F@2V3@>)xVubFO8QFf_ zGcr4>nZGVROua%BO)4Ha?pf!(1J_9Lm)%Ud}xE#jEh_I%pp4lghQ0TP`NfY=A3PxD=WWd z^}JIL{E$G!+Q6YiI3We)CO}t`x|3in-?h{X+d+?%?NH zGD;ngt0gDQw-tb9Q-6vu&mOHKeQ?_9!9Z4NP-Ql>_kg8GCBa(K!+`*Cr*l4e?%$z z$7osYwB}N*l&85Ui0jc&64Px5KLEen>))>$?j9Oej&mAlDN7dPy({g+u@Ou7G)b${ zsxUjSI2WVYp|E)*eJ>lA{IkBae=Eue#?Iq$CY8~wf#DWHb0GG0dw66OKM?sEx$=Y` zpI?Dtbap9t)iZ-^9``feo$Ah3J;*<7zB^T!D(FP>>({Re(^jOLEw#Y51O^3Df%F~t zf_dc=K0YEjIk^BGtlRT3{BqY`s9!LkA9M($&kXyhrb{Pu6Xj-ASK7-} zTQwcsJhcT-3c0sf_U!ixZuSc8W2&d<@bRJhzDm3-s_(B(r3?)z)(5i=UZ-SaMB_8a zn}WQ9G_yvfy85MFY412lFkdojNvb{$m+^+z9fJG+8Z?!64I3_r@UKfG>RPnLr(M*# zl~tsXef%PndO_Pn+hNS(n~pW#Z|%lclj|xo|AL;r4z|B`_A4)u)1|1OAV@X8y-25+ z8zeE@xB}}MR6@=WBbeja6bly@u2aKNShugRYKW7Xar<1k8vXreD6!|G7)@y~yu!%h zqEz)ooIV(qBib=NSoj*fW2t2+{V@)aqj@SRc%-D^PE80DkS}fE48#I-jO3}f++4cE zy{9lj*|RryZPyIz-q>r2(R@mOYFLt$x^%H8Oi!O<7qjO(o$+^G_-3C1Upm5YN8a|2 zq3xeztdsJ{^2{KH=+>#bW3_!LS#ZQ0JX|V(QmIp{tInQO_ANF#8jIs~4c^9J zRyQVB!xJ0*hX?R~=6CVkF3fknz4B;4tf$xbBY5jP_ddl?3ernRG~H!JMnpvHKR4JB zLPS9u!SC(v9jis>4-}vTdM>aZ9UR95ge?Dy(;kVQ@)t!a>INJnUm57==`kAOvM`VXC;O?lE`1?v*;dZlZ#nbUdWa&dyiIAn1l~i-aXqI=K4X>_6(TH_`GIRfxrc zE(<%6v=x`5)U?=j@7FPBsf@&&ywcz>F<)jREY*#gd=p4*SgO0P zjuiHP3t8sjr|v(hNn7F3=udOsa0czoxsK%g&zm0Z{cq3s&(n)(Pzi2_DejK0E-<$$ zF@mY?$KMFpPjH;>!zt)N_f!c92}4`%o5Q)NARgqYm%fCG zqT=DD*Jnm_VPRp{@O9Gk{;)|CKkU7kKQhkF+ysP#M<8geZOQpBH3gjERh_H1mbRhc zr+s+6#m(iB_i+!)8V<{oYDf5|j0~!Wx(cLYmp5Ip(*#_aQ3<;~_H8uTKlC4|erMG8 zO`H;B-b96P7}pVj)ac!Jx7P`uKhwLp-_17q36eZ}9WgehT`Pkg0nDqze8Y5Yi8i}c zbXTCD)4Z&%E(r<_RRm}$*6{GK(EBUCwzjraoPL{nuY)kSqt`Q934bzN@l!nc7z!o} z?K{7nQrO|J0mSQtLNyKkk4V?~t%CdO<lnA1sq2btDWiu$RsY&pws>GWbh7!5*zbHdL72Br&$~DlsjQ#?4T6V{Pv^!MYzCXHH1EXt zlAKJ>z#y~le3P7*_)&rOJ<&&0++@)&LBc-AjOG>=!)3;zVz;NGLT>BPb94x++p9B0 zHMQ;nja)ox>KM>^^Whvh*KlHPVq#+bY6o)Wm#IUmEE!-txSDQ`RWgKJkRXS*7Yi03 z(vM8Uy`V2)xUr3d1%s9D@lVyvPfhQybL=O}T*FsVWWsUi7#NV(*4DVmu=MLaIqTfF z=)Lp<3@Xi`=X*B!E2e#-)F|EI*nO!Dy1Kq@4jzbxf$>>1Bgm!k3|?v^XlZHrgpCbdCFNP? zSfQ3xbe|VaIP%ukR;sWYGvvF?;J3engWW*$(&d(admou&0qLo%taJ@uhCSfw^e-#@ zCVyc~O-<*;mPaqY@x+j6>YzB?;V`1&>S>vJ3P)6L#h9?x0^dEKF8!8;sWMBbYR=T9}>}XQ5%-X}ufa-In_dnPWV6Tn_L=Q~cLeO2q zmp8GO=oUXH1U))kh!`6sK0dz2 zXq(9Y1AQJ)2msoDg3H6crmwL@<*Cjc9upRVE3vSS>8 zi;2EmTUYlVH4=WpE?_z0cLhk0$oxuLU!M$^uA>?I@@(HvJyyNRbmHRF4~P~S+4_7? z?BjMM;RHx3>_ZQX9xEz2R>h-X6SgyYB^j3CWi)v5t?A=K{(Zl`c1P zXUuH>AL%2a)B_k7)RPOM1;KN)3A%~xf2HuH<;nL!KY=z_wM-1mGtZa`L z4{V$q9}nd!;QHSjb%QYl_Um%IJOBzz$%~sMTu>h=cXvMPzSO1jIv*b&aK(__pNN>4 z&M2-XviOUXhyp3gZ;oej>Y)b@+TJDG>GzUlpkiYWn zDD%bv%9EVj+|GwbJv;_A&|6z$@jNslcBAqcrR|Z)Z_vJnt%mr9J1wGPEer1Ph?Re zd1wJ`;7uju34kTK5IpnoBAqr{z6ZbV6DTe6py_%5L4$`62T^Mg6qUQX4hb0<9H2xu zI4}jWuCA^zvj;POfLH>Z1a)b;yRv^IIoIGby5a%AWT(2!>tNn|=J(qHD~S2OFKmvp zme$svHnIZe-@ySqbqr<8gyKm%%=}hjO;UEbyYbmLK_C!FK|nQA@N(E)Mz-AB%qxXp zKC1}|veMEYDrWZvJTgT*2&%0638c|@YzC+vFa{`@#)=CeKAfvTM`7%*_~qiqc*dUE z4B#GtR<=39Ebi}a$t3)RfKuWU5PW!qi~=dBGuF)lJ_l?KD4~$kiH?eznwOD;?W=6*J*W=EM^Oa4?^6aP-w;gLeRoPZ$|HYUk=a?A^CUpctWT?~Faf za^+*B4GhR1oF?E-SO6cYV%p)1h5=vWJ8*#Qa{l%99v!yhwwrRB0<@R{UJo$4n2-W+ zcm@73+^gnLA^<%*E7E9kP?=>l5rYCTh0P)p zsJOcF0+8IV-k)`9mIEh2MH6`^8-putp_l_3aa6(|a&qW51e!2FArCu9E*1i5jjA15 zfjB#Zl-0BOflreIFA5|@j}eP5rWT33;S;%NO3ADMVB zL8*Xq)_i|^06&k3iwg%T-2LJ%7@!KhkPsQl$JPyf6W=YSXc}>fw{PE)@!8@DI7|fr z@G?DF?}r4nene&9=O?!4if*kxXu<^kX(X6Mh>FgxRKJn&2M#EZh|SS_Tz3&_iQ7{x zfE5f967w6AjP%D)BOtQ1Hd*gUz*u@O2BXFU=cy-=Wrei)5}K2fbJ)X@WeVhdb0iP* zp|4)t9mP3bcXf6y#R$%~^l~*v1CPN1xD^4NyyhKf4FI9NulHcUYyAMlBr$z(^O|%% zGn&EcJkW4)!4B(N9`8d_MrLO7wSP$gxAPSh+#H6#(EvCqzIxS}@+Ke>n^NEjFYieC yBon>w$knJfG-!YPnc@`k1*}K~&8=T^(IK9qr8Td0V-A*ts|h@CfrfFMer z%FFBY9~bbrxZCgwR@M}QMQ*z)>U%&SL}sWzXoXS*b`VI3o08mPZQu0YKVSMA>b{h^ z9u_%W)USE*PFEy)_r7pK)f)-R+$5F}vN0LP+fItDh#etSePug#_K`6eLxWGAg3z_J zua;=Iger_-+=T7XRlRDfT@GCRDO`Q;tVahHcGH&_e5|4Gc{Rk8mJjew1v?mfr|xSiU-&`X@U3eNPN!Y_p;vQsDy0 z*R4U*-Fl7QPJ*dwa&p!8A3}9L?q490H{#KLSzFkUk|>pQ5+w_LBa9z?(h=r*jVn)^ z{;Uc-v&N4k)9fof3(E2ha9_6wtiEFr%%R1g7=#r20PqrrOwR1Pp_*1$H@HzUsY#paxz@1 zal>ul!khx)dQ9ykT=z5VfyobO3`@v#OA%dajU@@GBq6~JayQ5i%p;YU==Bk=!XY$%gT5h&xUf5mnWZ2Hg)20z1Dvl8avwB zDLBYkydRC%qQOVf_@39tX0@6#!;w{g_<+|90Gt8IAdc*~xX6T59JVn%2E?#3yCx^_X_Yw=LoKzJL=Y3`tA3@wRi0^QXdIi3 ziOE2m3bx)i6?r0SXR6v9LLUG2<<$(QLF&pbW!aN1$jR{rBD0ZRVeVwzivail9vxU+ zSTw2ICrc6+GP7WuK>^`DAT|y%AUifgANC|%xw$;O^Zn0rI^c`lVCnWCXDNufUHYVb zj-Wv^?@KKzl{=Y@*< zC!$t=Yu=&Q0^&!(Cc8Vm4A;};W{u)S%uGx$T-kBji=b9XjNWP6c;ynK=eoOVWND_E zEQHPO9|X36mRQ?Ippm51lqNw(4}(9Y*eyB_=qyj1uwG7y6yN)F zu&IF^gqXA$dHGARCiMx3992O0C{5g(KW$Zt^Yo%L_$6h<&Ai8UrEZ2ZNw0%@-j;;( zO8Vm)3=ip10{Of1PcnburEB75WMudvrxRCp)Q=z#ny(U6YDBs(t=39o&g(x3;wYcC zJ`5hd+^7G$Y5oCwUen60?d^_@I*FLn3wKvfP8ufGDWNCD%_T}+U1*$^E29=X*E?@z zqYOxcPI`28{Pckq1jEHtJwBP~i#3emLxgQqwNxkhRX-aMt;V^MLJ;Mx;=w^TYu6m* zD3_`Q2ODx7C(|KtFT6*;n5L*XJ;upEBT}~<2j+4OS2ymt@%!~GSr-*8#lW81RM6WU z>je4k*;DHn4<0!hSg-mF<0ss?If>+5-Rm{}vKI=Lwa1Vh=ej%KE1Ztg;8g&n_(aA45t#NGdysI z9Qi(>`Tv?9UWpv0D?RxNmM)6Pwxf92(s4CR1c9iAO^g zTq(1dG^PM1HVJl@leN3`WT_&y0<9#5=kleq41}^g&eSLu%>;+bUIa2tH9o^aVe=#v7p+U9j z{Lr!H;S+d(i63b|9~TJTqqDPpKT&>KE$rt^;pn&ifWJ&eR`C<}FI_(o4`rO?64v)GZaUshCR#TxL z1cdIYIlMv6bMCm=dr+ZM6D1PJ9~kD7u<_$HPTm61RE`R!HfDj1U2*D5qoHLUa5y$w zuR?gVQlP%uy;h9xNp%}SQ-0t7@>;_0AikGSwsHy_1_gCQ{`*f!9jQSiWWgpaJ)t#S zEieM^UE3FxH091hh&gf^ZjzAdT*SdeR_}akH9GI{{o-ah;6eITUG#@lJ0DXC%`QSP zAosj}-y8elnXIcVp=!1qlTS8;!)AsPUmzBVNC~{#P8&j;Ox6{XS4kEN<_2^SK)qWwcZ}#0TyKlrJTat`+*HDNh z4m>YYdzShLrRHuBX_y?B0d59APiih ztuAv18{#Qv6h<-axF|B&R6^h)x(_w1vQE#DINjrtH=yr zb-cPjESj$TGX$~&=d#a?wqgvQF6DC#v>-HF$ramL)sm73oeo+_MYenN3S)c#QGir- z92&4v;D-h&ctleuaORrD&KO+7N93Z%?7C&gU2)&lwyo!4KL86H$1ZYj+(^8ZnJEYM z)pI>?Aao-Ef2DwzK9a2MTfeMy(Hy4%^672Eug=s4{24O>g`;azW*8(y>*#lAubX=xB3IeqJ^@mXj)%Rxf}Z1`qU&jr8kq66<1iO9zVi5uB~nE!E9wF9wYpxgx>{C*8X6g_@~ET@%@eNJ z@wnW=OuF0j0xMHeG_D|VuUqQcl9#3f>rr{!O350Z;Ws<(p

fi;1F>g2!@lvG}s% zWd3;vsY|o**>SPsFPM?L$7Zw=ugDClaQs`SZs|=ghG}Kshp~)QY?Fx}t{QvVK(U&M z-#tR?=xQR5IoTJ!9STECRXxad4B)o0wk1x47EW4JlrG|!#V~W?&_+!FumkW_-y{6P ziGp@SE?4u6KWLf~U?G;o2(ulQ@N5lRYUlc2ybFWC;EW})jWZ*(uWfAJNaHuO&|xQf zTC`Dox4&cbTHlkvTA}sel!(z>*%KOGQOh2ekpFPVq?L4Mey6gGJ3%ihhz_`gxxez$ zPi${HLAs!qn)jg1Cqw?)5v#bFxecu=m&v*Dtw~jQsR`+qX`8DVv{h=oMIFPKrjjdU z#|*dkt+YbOdTr7@WrXAX5)Ti!68XI|j0U;B=v!R9u#ZjKw8f?L$v18`6P&7>w(!y- zdnc$RC#OO$t93gMnz=*Mfj)e??2t$=KXq(IeJkiNqDGHW*^D9a7e!bFhMJvAgggHm z#`v1M&sUNuv(QSYG-vT6NWy1lBA6BY-nc^fThJ)6&Lbp_2>g7{H(e14^jlbvF#M3( z`tY8@ke;ZJ{KD|sd@MOxtd5kB3U-pd8!<~|y@+6T7A|JwO$wvg`i&DcX+GInkgBp? z{(~06M3U$zdpudK#kV2&WjBc?xl+4iCf+A8REu5_(HX*i#(=r$l^{3(|d+pATh@*NpOB+EFQt~1qS0X^MUivw;tN*g?So^5umfzj< z!(*6cTT*xs-UoSviwZ84=C4kDgo`XjD-Q{+8PkmmBL)WXB{S{~q4DFSrZTcy2fq0H zH=&NK=+fxK?L28yxr;3b$?fe`NbmsS;hURmnO`PSzPrm7WQ#5VMs)Wuln<9(MK^zH zn3xbj0DkMPbNJrMl^jHe7IJ?6N|F7UFJ<>|-7h%#Qb6B^=pP63f%*9BSKO9(-=^Hr zc-$@lgGkpe0WED~7wKnbJb@~^9_t%o zG(Ir<=}^hcJ2KjrlqK2OW=fYPBhoMH81=_@=iq#4~;HU<~9a~Qz>FFjc`D9DF-#7xKcw^%A=0| zABFRO>sBt<$PuEG2;Q($)>))ed@ro+>U2qJ_cXhvXG8K-B;Bot8YdD}U$@cuEbv{# zvVfc{jf^AsFlpT8NKH@Q^KBzD_J#8|%+`y>R9l#jyRA(+Sr;6) z_I%0@0dJ+Sd~|HWr(J?d}>V56?W&8i#%?$O@z}a6lbluCep{qZIBJ zSdeGR?X^z+yACFtEsMG>f5;78+cAC5)>0{tyqSQ$4fVmzEF`cb&4>8t>JrCf_?=Y8 z4qjefklV){ zP$Iy#D7d+~0oTF3c(vyPM;)!?&Dk*g@^DxoC`c;sAlAebDAxBdZ3#b*jHh9fX<~A6 zCD!DUDM_<_w|0JHWF#1y!N1~17OK8HMo^~}P)3_v|4F53s}FK+IkPUUnM#0fst5jg ze?Fn5KAB>*Mb7zrbEmx3cz>>@7%7=RFHsb<;S;DZJvq6x)}Oj_+O#2Y-W7dE=N#a) zD0}p*%8(~j<0$unrl!dCqoLTN_uc;>lR_}*VAWHKtnZg^GlO0JUKQ|eDvDqoK13WO z2GODnAZPT!ROySz)~or}aLuBeI`uqFTSrGZj$|18uaR>5_ax{}N~&gE{kA#C;|;iN za<#2nX*bR)e)j8q{aVV4k(rq&qCmv!NkbZxk3P^LP)(FPf3SEyRkzCR@)8fS47SzX ze7YFRmgWByhALK=XbOsYJ#-D-Faxg-vnU%wB~KSTe1E-FK&%V3e*3*MUmI`9FS5-5 zt`vRg-=kJqB&N!6wW;t{@jjwRw;4CWtnDe*~xL8<7}vUz_!+5lQOEV zO&p&2qEqv2E#UNLq}0u!RIk)ET*`brU)A?y*5)9aC;$hgTGzutp+vuc`C7Ai?}OI& ze*@hc#rr^C53^KI<%>2lF2g`aR!czv`}z;>4Qbs^Z{VC+*GB~h@h<-8yv;{rNiJDW zSx0APzW=p7{T`d&zB;9LKP>s*xF3au^7WGNngOb73}_ zFR}ibSY!|~a?%i#h9slHIue;Gd78*BHc3=G$gZoSEPh_v0d^UTG7y|_8LbwHIzmvi ztYc+W!gU0p8C=&9r~-{Z(xUgpNYw_gh^TeE|CLyLHaYJBtV7wZ$(1WQB<^*J9u9zh z(#jgURwVJAC_~YyvIvr@b(RW7Z?>y%iLk;caVhUC)h+K`yK7L~ES{s`E3N>pssvX# zFV)`lYj__Osaic9324We@r;h$d2fr}>uY=7x3**`_7di!Z0Gnh5Mnpq854oSl!C^N z$&?a8PGI)giQz>ZL$D@ZEhizj42sf(?i&lIbcHNJVHS)yd<}t0I3f8T!hsk-R{cD3 z&Gu$7B3-}Rg0E3D==x9To{$}fu(&^o*%gc{9PuG>0>hlSm4wHvMa^NbcGOl5%UCEv zt#E_`&(L;j%T1L+Qf4NYYiynM$>RiHaG8H%FRFohDzQNo2NW^|zs^+0 zz{QH3ejjXU_WWH*O*sUWG#e^HGC#+c?8vf%zjE2^a(Nt=r;4YmOzuqn-EC1!zfkpR z!j6yy{KqRxN1|rCyVUcYJ;}%Q@bkgn<8p$LgWSlIGgV*Z+pJ4uXi$`&oKKDZd%7SUq@Y1T7--CZ* zq3FohA$X&y4cHxkQ16gv5X@G#qO{uvlxb+v$&Ud*>+5TBBW-iMXPOe2|~WWun|}7QE-3P;NKcboaZkYe4)Pjq7>$nK!P2?%XjrQvc=?be$V&I#QEHe_BC(Ox|dw4S2InD=SO@ zgi}@9Qiq&}*DsdNDV&=Qc&`rDaOxjedUL^pRosd%<2cRSTm9i)GEtE~(`p_ny) zgY5t8HT}CQ|C?>9|My#2KWC$y=5GxDpS#zVfYJf7U_bD*vC?stzssC2-DmNo@Aj91 zqGm1>(9syM4@9)LKWCP)>GplG=jP|#uFp2$Lt^{s2;i^s{2ytL ziNK{9;*u5x&nHJb5zCJqe>RW1@d7 zM@yhEEvTt76Z3$)-0XkRQ?Ez)%RvXkpMKuNSF?-Fer`Y53$*P(%Ro+U4Pc0?t*mQy zdcWU%3vRu1Gp#{Vd*3$bFE@g&*_<19YyZ;;#_}}a%mWEgV6JLd@@~+nPf#Q;fWY-z z`DsPp{wl<+$Y2};(t7-&HGJv3bg2lKHTYrGIp*U)Jr57YyT8;wSq;i<6M|@BQ)<(r88uwk% z`>M=&ANC@_;$N7?mK2>DyR4jq|3^?G{$0|tF{0{Zi+^hni7y!6?QtZ$O+%mW!tZE!@j*#6 zR99z6nTiBU>;Qk-S;-=&9Sam~JH?(?*~l5P>vvJn$jMhq!c6-@My@8N*Fz3ktahU3 zBx<3eXCenZ?Kxq4@uMEpHC5J+5+;Rf!wPGK32(~CfhtBzK9pJrCU7$rac2|%$45hz zbC!QEb1ksL09G~_Gb{QWK0}%_*O8G=0)&KeS|94gTc||Y_s(R%^Wy3@qHLd&B}{^Z zQ<3vH;avWO@bmfluPv*8*UmBM%wT1Lk$bq6Jg0i$4!X$zti271Ms<6lqpSxFX^S(S z=00W0ne76=2BuT>vZUwCLrz=e?M*^;{c^%Y`0x%kbA4}yw%6a~oS#U?mK1n;2#hhc%1+*_1dAJc}k1ZCO2u%N9 zcl{id*9ML|xO7PnMx1-CUuphCFcn-I46ZGt&}m+4%U4Z9RApV2AeSP{wA}>dv^jC( z`SAi^q{^M|ZUN<1sox>dc`_;c-VR2-&of&~Fkc&clkxP=I{v6RY9EJ@s4A*C-)^ZT zK(EH0Tup2j+O%V|-_iaWo6Y|x_lw$3m6er9bp?f9@v@|-q7d-pb?mH4tvd}drIJCH za0cf0eamqILv07}-h(amAR16GksAB1U~;{vbzImZ?(}0@Ol{Cvy(5H$kAjuK)eDzasGJmH%~#obSn$@T+iN`(e);j>-o~ARi?9|6-nL z2@oTs6AjA{^I6?>2@(T*7pTeC|0Cv2K>^#a5^>jA8r1r8b91g+d8wz1?ifD zR$zUScrB0*mI6+74m$x!HA+_G-Q9vUsjd2Vwxbl4;Xx?+-$p&29fvdnay&y5CL0+| zftvWp5vl&amS9XUEc#(k=e?!7xNy6u{Rzr0IdR9FX303;nXb$|GE`Xx0-3H~v>cQG zg-$%A|BGm4@wDqWV#lz9@A0H(G$~{=^9bB$ZTH}eF!Ek3vDD;y_}sGd2~*D2$^k8~ z|NmotX$l1B^k>RdBk55TrPx4Mytf%g$f{gHl?aN(;=h*G z>-{g{pvw9lyls#Oorld)v0mBYUZ+ck9Nv=$WJUkb2gxAp|471@tWT>=5n~P{D8XR= zEaYBOQyL_ey&f^JcmOvK@S{VOalnJ3tP@ZI#s60Y8k4~rYg$;#^>H~|u>2*#^HPKG zPE-T71=-EJ>bG>USi+qUMUnY`XB_14rs7~PoB=@1y8OlVm+{Iv8?afvkc52t^5wS4 z?uaWTj(?!2ZtA2{h>7c9W>P20^+o}rv z3_}TxqUhKHjQ+*!DS4B#!idJVjs}@Ua>DI8Y`B6bIAEh{h`>LB8is>vOLB4o3wE#8KiVK*(@oY3{UFb4 zUiM{ODm~eUdzJgqdG9YuY+KbWxZ@cg7wN9#GF&~t@BGj=7DZ9Lb@UkK60Wuse$0{- z!GZ~JW_k26$Z|E*;jD}pnqMaBQ`tzPV|=2vcXr$Wd7Jo3U!1=8t5ttbbGj}2gQLgF z^Ynl?48ykiDV zMp5Lt_qyQa5oxk8Ye%Kv&L6(@(o_DLG+g<@A+Cv|jJ1_Xw?l68%5Ly(i@f#H_? z(I~$WFdmR4l7PbNSPXDjMFaid`Q(C2*k4i-38UBF@1B87MpY|O-6b0pp{Mp$8?|0Z z)lf&7Q6s{y_0$g>?GujV4u;EihUL6e!t&sK zv2-mI!sv#j zk)TH15TioP_Vl`nlbUX}qQD^l42!wRisI0vlI2hG8cqG0T^+%Q8HQhWxNgWmd~3hS zmF46(-=T;|a|rP7{~Wx4Ez|nlX$Fb78^7aMPWZREa`A3m5hrHuHRn^?@B z5UD_v-j+6G%r~u)$C2jESZ}32Q|okB@*rA$p!-#n{m@Ks(sxnhpHA!ouVZ87knz;% zmA9AN0=?6aP`K0WHt2nW9a-TSp*RVNFR&s4j<{#v0_OK%Vxsp&sguLo@`DF8+CT3_9CRNg;f zP|rTPD1UIR{tTxK?TFRMu%Rq3-{JLVGC?m-MeS(ijzGf~66v zv)%z+9qaY*8qk(0DPCT~YYQ-uMJGOU8MyV>R?`5kYE%Aeh+vefPgFAE>-)$&iJwY; zpDO8UzEEB>8GbMnJGDHRrpsi`y(sxqYvo`eidtd4+<%P|SrBy2_ItjL2;vG74qTSu zoOtnK@pK3TzoNX6G%!Wha7TY8GgLE}<|0OvAsxT%n9RK_F`sWb;e|P)B1uyz3&v;m z<+GytPHkemkDIp9g9kS9)kv!hQycb;6e1OnhW#vYPJjRI(#nv92L^z76(Pfgkm;-% z+9`~yKFB>sY89rZ$vb`Z+Jg_E0jqbi+N7?=rB<%?gQR#GfAd4yauX$EP#<-JC>^RE zbUt3ypqO(uMT+;>F5Kcawla2|W!MDOd|gd_JM1P?bI-3Iv>fyrxe|Fs85vcn z!&vD&$p}B*A|R=<-uW0s5ehUjB#VyhvB>bP6cgE-p04R}gR?lef%5$!>+C^%_)}>eY$M%_D$4Xq#@X_HAr)FkRp=uaGo|%X=e= zjLQzDM~lRtYC=Q93PP=uN8j+3MaCxGVtCm}?Ylpn8Me#O_N<#(I8X31L?*xM{G2*wzRJ{UQ$qgj&Ua+Dj!EvsYv8TlSMZAc*g5O*1VF*R)T`IdbN>}Q6RP7s zHxl7Iq{f_@D51>Z zKcaoSRoO?01xJZ1Q!a@F826y$8QP4<*F=(0D!k2P5X6i{;tFa;@wF84wT3EhFBWG` z_@{?1+?I;zb2PF;8i=G&IOkD;Bl0XG$9Dz;!&Q7udxH8RW_;fD?ELwOC=)E?OUGEn z?uy@?IMKJa>emOn7ku5Yr)nluk$haTIegaHl8#?f3W7}{a{y}n+XM}cJsa4`41NT)=)rY@S`kw>?dp4kw`*>eXOjq#!8z(D{pU* z)H4*9rl!aqFrS|L#w&oPs)s$|CjcEy*gCWE#3YLVk|57QxL(5@G>-*^~OQsz{JMMdyct2g5^sD(1#@SixPSuoCI zCSF&+u3$gtE&myOm)H1(cW==`Z%qIL@A2nl&iESc%2oBMf8ZMRF&?q<1Y35RS_ynB zHbRxi^GLUScm}dt1+I_*l}Cl#N#C7s#Tu0CH@5F(J~7&7Gn(_vrnw4qtfzn%LaGas z(x|buDKuGM&D(zOf?1>5Vp1=&v4xDAYF87Be=bjd3ISMal@VPNYpEoh*fu6POIM*f z34fj*OMsBp#c((P(xxJzw9pJ9{i0Ohgpz|1&VExNy30q)iD-5fnp}!)X4W9#k7%{D zRG{jQRo)t?ucRc&$7Qd&soihxQ-e$U6-ugp|1=dxW_elz`D@4qNW9EOm2?wk8UYsAcy<~ zXHhJSVIQEM$rc|$+iR~p7auwK35$LRFPE3XcO32=ZRY}h3CI$&3)~bkHVMf!%h<)@ zymwx_6T|VWk973rUfM!@_J4Qb_4Xu+ij)c_09C{~45j-{C_%{3$lM1Gad}fO5N7nBC;Zd}$gHrl!z-TJoY^tm+I}nT$kF-Sm z5bA;E1(yq+Yl?K0P(|?XeJ0@JbmM=rKdIfD3=LSn| zo)@k7?x9Ax4HeN?i(zSA&!YtR@Tg$68cLRQ_+pZdy6ya!_>7-OXyfVV2JV@E6t2sy zbX27NnWmI5H#BXaPUEV)RLf`HaYFW#dZ0ugF9MEDbej>lfIl$Qm7>T+=^>5p!t{nFZ~@Sc{YIzCc6B!N*|j9Oqa9FWoBYX#KN4>f0v*ez&y_<_3lH6z3@K>jXDwNrJe3|{8cUuPZ# zcmF(mEvCv0^g8;0yC*>}he{K-dzn$|6YuWRms-1ESfJkX=T~Yv4I|Kqxbd*ZTfAOV za4Y1EpK5rRV}{NowJl_>gl{E?>Pf6mvYl2)ee5`{TsNQIww&5U;*NYs9*$ohwlrgZ z>viz6ps`~2qlM!9Vxb8D!aKvb@)@4hNeo`3{46l@?A1Xnm_n0;ZkJR*wQU^tFACyZ z>mDnkAVbDexnr?^up5`hCcFFP!r~wEyG)u6o}%iftGswa~zMB?8jkjTyPhXs8}kIjyI@rdiVz{&rj zkLS{Kn(x;Ff3Di2@~(X&;e*2Ww%?_-ph-84PqmFe{IY%e{CjD&Owe2p2=YmU+cEht zY#;t(2{w-bp`XJ(y3@qsQaDuM^P!+|4#gPKAJ-loZ0hq40#(PNC87RwFHk6pud=KI zcr_*}GTv@lTu0OOrilC)0yW-NQg3{ag*vJ&y}*e+bOBl~P0B~3R8_=}s8fpK>o!1N zVl;=^P8btZoA!}E02 z@Zp&mYapo0Jw@dZ*Q=M{7X&Nqq-X@Ifp*Ux;z&ettQMO+7z`0XpU46ccEGy_`$TlX z?A=P!r(_9d>!F%7MEg4mT$XLR?P~9{cwZ%k<5Ov_t^`~mrF4^8x%G+`_7aCq-~Xuz z#fmY(?k5YzGR%AXy+IgEk-*t)41lKgx(1J(>2%Z_GF<4MNpkH@%5}qtlILEY1C*N}ht60+#^qM|N?73|QhAw;T~GhKQ(o zok>-l`8jk3A0y?bR!pTsRq_duP=$(Xf+sw=%x25O2-?pZQrx&~Wno^PU%e@Go z@-n*7Bsj7p6xKw3tNBSU&_dLz&+nFSjvn}z2H9$*SUM(#&2Q5s@YI= zsJ(ITdaJ;1#TPfa1kc0)nHfPAY^R8W(LRM$e3A5qd%>+ zDJ$%4WTW;X#lt*SZn|Ap@lYV%6hMD4&=z>PRhQY_R)JpXb&x+ZBufZr1;iq!T4(3Q zc`PFqb*8dq^lS&ZrS&iuB6q|SLqyah|MzC-fB zYfaw0fJ+=vY<~FSNmGLSg71NWp{ugTEc33f@Qgk%!tg#z1q2iD65^z>nLlueO_ka9 z^cfPT zhzp8xS4r951PO=3Ri_@H(n8 zWL*O=t6cpY$U?^#}|Hd{>zmVvV zm6qEWOxOZasvC^$9{k`ehd@x%q^R-GdeAK`{>D}GxB($iKXAG_mKFNrN_v8qQZpnZE=FN--%pVjuP9shtaFReDPE^s-Xl7B7ZLfmbFq?<$ zN!C-{gRKvJ1XX=gkDTwvQ%SvJrRPU%Yr*=l^6eKnKK}veiEZpr%at}|%gq8(gDv}= z23voBoM`kfmyYh2cbrH0pH4x^wU5=$V1f>RI|(xtX6TURVv{S5zazpQZ8F%fFPrP z^^LOC{|lwveE%u;Ex=yLUfEgFGQ6fXYLZ};yQaw80dG9dR2QK|m%L6~y17*HBF{?L z!btvS5A{yj?zoGXU(b{ELvpe&{NV8SYK~WEyH)D&6e!s93_(fX2&~U3I(usrQorot9eq%!Uh?po%IMY*JV%hKgBmM;J@O#8)RHt{m zLdqc-<+FgnrBcK$#Z4es`&3QXVAj8UjNAJvpYe6a<|Xo-Z41%h!RPo)OJ~$p?rP&c zS=1^m<)eW;fBTZzoiY5^p{Mn5|(wHFy_<;8fp7*2;Q9pvmi)_5mFCgyX< zy09uZDlm1>6uoHK_vMxCT(h4Lia-MIyns=AGcb@Oyi-#3qh$~9`-m^<0rr`IEB>6+ zvzL3@e_g@Pv=O&}D>g@J_ufX4KlghuB3V$=bAaNMC!B<|Aey(#R5}hqBa-*Xr1;n& zDYUb~%Ik&?=bojI!(k=KO4uVMpzuD!Z%ESPC6e)|E#b6yB9p%gF&wHsY>^?W1(FHOQJ9sg@ zdNR@sN582OD;v-*WG;>5^ayl2>>K3!)MpHjM&A!SHv4Sr|J6ctetc71tegJXi)?irWz2A3Lns@+X*9n?>%xN9?tN4yJs{T|G7}N>rW9*Gc{K- z{`a5wf2yq}Q+!lsi__^h=X%Bq*yR%R)?bmgN(D20t%!a0#SOhD`q)90RL(81-Nk<& zX5Rkc&SKaLQPx*I5qdbr+Q%bgxZyG3%aq2xjG17T_HSpc<#LTT(eLL!x>b8?)yO1z zk#PLm?4b!0BGaI9r3IC1>@kJ1-TkCUFyXz8)*9f#U}%!dZf`b{^j-K`@fnOu5Usmx zr3LG$ZBjl{(17}Z3WB(i!vFa=MAWE~{7pC+edRw}58=sw1|D}(ca z6me-vt1Rv)ZMtfd)*-u~L*sNzLQDN!n!FaqvEY<~BbjN3@#GgS&Ekj0`->l#rAkA3 z3d38p5gRkQ!7Q)cxb%A!Hl(qfj#u2mCs61iD`43Q$stS#J+x2({1NI`2o+_zHL3P` z(R-v}c;#%x2i%F|F~#)-Q+m_BEQw)Vz?3xC+W>lPqs*>LH5F7o03|}%ogYzvvA>^z z7rUsG0jw-Un4kwLNUkC>hK~^EbAfmu%-gld! zCzoN>3{|oMHm@a9T;Mi_&{h&wicrL8mUpQ6{<~ZW4gN;w-}B07_rDqw|55hN#_e9! z!~w4hphjQ2>kh@kgMv08{&^()n4fXH6Fx&eKXVn2M}6k}?Xp@!!ApRE!(&v*pQpDW zJ+52xlca{8JFrlxrPnT!ZWt1M3-xu4zp5z~Jo`YxX}YaIZlR>50U|SM(CDJ|=3;Yi zPu{|U8AarZBihh?uXapK2CX!b<0aeyF;yxVn)_P6UKu+?9wZAQS$&C>&iVyee^o6q zqv(agNHum@tYcbbhX*Eb0-Mq{S>98ox5vZ;)Q|CAe>TE@8h+-38D562R_XT=EEQM5 zt}tnuJVkwFswrLIom%l6KEJdnAAxKW)1u8&FB195t4*5-UP;pQ}vlgy_IIcASU|QJ@1t#sE4T#$^ZC8*zFb( zB{byOblSE@y4tgkN^A#T2A)ufQR8JxH>XE;X!7rv&kHCV{Jbrnak<{(z2JIaP(mlL z9VWD5n~yB8k{g_alBjy3BqXUa2NY;0!0eJ9SJsZkKZV!OKP|{!4xES@9)?G{I@%t& z$*+ul7OZFx(e%FwuM65vM)P0q^#etu%bg=dVGg=(CSvg;e*!sfk)kc@Z=$)As(gxZ zWSb1=@-@9Mdz=$%PwBcCBTN6ia$UNk zfPil__6l0Z8!+dp8LZ~Ynn1}0!r*{E)z5F2lEu7Kex_RV>-!hzeLCvz%OM+$ZWS)R zV>`dX9X5Eq3S7-+A{gaH>bY-d3Fa`VY-7TECh5@H%bti^e&TUlk37c8)xnRxOtiQ~ zL!;3jMkXl}K@!H1$5tx9uNpmHrk^-0iQuPI?}U>nlUxi)4dIAH(9gg!c zQiS9WdQ|(}x+7{?s6W})NH?42R7|{NdhJKQ-!;ri<@HCb+&F$`*hIp4Ldj@G&SF4j z=9lXKAnPr|qWa=~?;)i@nxQ+S1?iBMP6_FfmhO&0xGHMLcyk*zv_IXB4~bSvMy%pUBvC%2>HtkqK+V3 zk^fHgAnfyVum5K6*NeL!0J1}E=*dmx6?L~P+>v*Fi9mNv27Pb+q;Z5usGV{!IFqlVV8Dq^8W05&c9b zyyd$=YcRAJ%c@h;s;HmarBr**WwqgLht|;nJ2vSS4sU$PKjUsv*k&iLAA_ zPG8N97c1QM`ZaT)4!AJU@Q)^SsNDgFl^R8=;dtc<$O3EZ@j~zQw_5k7;h8Re6~z$k zi9tA<#N|rHHo|OJem>Qv3YR{~1EKmo zZD!KU!oQ|Wxrp2jel}H@(vmdWf2{Tl6}>nx+z!`ipT2X;fC>pyw1_RC- zCIFcC`b_Kxhl;C*xsfN{nHtQ1-{L(tNa;OY`mIP6i**vOezFI=B_bKZyn*Wcy{W!~ z`F{=CP#V0;u)V*qa7pf0H6lq7NA}k@kCMxR-+vG|)#|{Z8X3iG$rURxQ$$$M8fi

Ke_uG1HGWrh@MtGoKbIVpW)R&~tQLybF4CM52yZ zr>yTlvRYBF0R*m)6iu{D{ESU6#?b>ged!wD<-}*A=p~aO zd_P{4rBlQDzD!%)n*&)Uuo#1T3Kw0={SW7{e_S0a9xvmfzw;DCwKxpQL>nA*`@`6O zGbv2aUdQ4GeW7ayF-Y4G@oO#y@FB1ce4r#qGp^$Dk5iQJU+Y$3wXfm&CiO;KD9P3A zvo2I3sDk9`aDQM8$chu66NKBG$I4UmSju(Tsx9cUxMG!o_FB%y#(K>$mpYk>e*--< zXW_<1_&SF-gj}RDuv84iJ2u>)xD(uDGh8 zD{W5_wL5(rkls-f8l)`JM121K z%|~Vi?j*-a|IO485jUHb1d>;LSz?PAus+qP>rJ7E1{=kgO-h(Ekqw;6tZUceShT0u zPf>pE_6N(2pEI)Q+5GpRtthD_<~^`h0vj-yN5O({8v7D1!{pR|>biE-cO{sxMBw}m zv4%&?`L-3`$YL*uPpQ5alSDqac#n=5_=TU5B2zjeWbaW2vx){LB4THSVOKyfr{`pg zGFdE*hVP=u-BgDD&9V6i4fl;f|5@18h95>v?eX>d=Zk0F%*z44SqTDbz!BDLIP8E8 z02z{kx`pQC=Oib6A!wddzR7Lo|C-5%GanUVdceWyfCs7c^8 zjTCGwLH*k##-PTNJZgVYRtWP-o#u!sWlNcako)A~egCsCT) zcLhJlV?v9o5{H3)xgVh>U$q4Dnq0nBaCq0)qg8x}2}fmTb#{`czu&3!u!)7qeU}yU zJVtJDI(k0CyLw9{N<^5T^jNgXUt(vw_%X#ore@Ct(Vc%{3R^c)L=wU$#ODD~wEPZl zECtYd%G=pX_(2V&{u6De_Jp(v+oO-gBbCRF^7cJ^VU!#+Xxe=cLp9n=Hy1j`{F%8< z^@1)Rm1BP4%q|(X?+&gX3>?7IEv2Wp^=Vyg6==#`Hv^CFu5YLW^Pm^E8ee+ekG;Iv9o35~;UM}e{_(D!+6MwVw;wR7~OAxB%cC-3Q2Y~vWRYZ(~YZ;1A4jueq z9MOY}yr-i`59I|`G(0JO=<|sHSgWtK>4(z2(fZ?Yzoe3m%+(Uc|NWGlP#t2f6x`=h zAX(Q~nmS}Ul-s-#mhxMPZ*H7vxH4@kh2X?LjoOPBKV4YO()oxW_xeZPvIf061nh#> zy(VzwfG;2~mpdTE1PnDgVrrQtZf`2^t^)=|4w>JRO7*feR%~h1-T_@G5*fMKa4;=` z7G%NXaBz-F49f&%>BIOPR!h^tT2P*F^o1iR`c@)<^>i?DZ;0q(!}qVu2h&G;BT-oX z5Y$l4Rk-sdvH1(Li5_mJ5?6ZvaoR`kq76ITFzc7h-&i#X>cZ`sErRlRVp}J*i2X9; zVqp=m3iQnB(-Wqi#E9b$+jx%6ijuWH+d7y3<_!MpvwN1GqtI5@bmWcUC9xc3azH7u zTg*rW^d7yiy$K_Iiu6~l=yQbFal1PzO?Y)`(`Ycz)GYFS)CTSRYI|+{jyb*jbB!jI$+8So*a>Ej2a}U~nQv z@oVwk5}J-AwO4Arvd~+i;F!Hn4fNw?z-v|passf4lRUtcP$NR^vn;@+)i_13Zf@Al z=gEzrp(1oFU%&DzasPZs3{k+Qpd8B^&<$w%O;rnuJb!Euz3yyqVZ1mm1!QThj{WNN zvQ%DH8tVDp+aRvY|A-pK#g6s+ON9OS(^(;oq2J|5IecA_4atO?sawixFK23MXe}MO z_2hq5Mm?b7Y{$IDjxsl8OO)zM1pC8;?RI>KkI9qLaeuG~N@e6s8_eSYvtGV<-D@4cpZ$`V8AdiDI zMo2#r88E)1Da%P*8$T-o)*CRz*r?Mnid5n5y^#^zj&Y1y8v=F=d9586D!ta|or<8F z#v>&IXzMf|aAUV(QxV~9*iTpXYJFPJ^h~Y*s(cHYv!zNSiPq*)!h#a2fWH*bh?JUl zj4^90bl6SbBNAJTK=^D%Ub)zfDxP^*;4yp2sl2&-WCLiR^_mWWY<0^XNcR5{Md=A6 zeAZVQl1N5zV@tG;bHNa4=2z1Bj$yZt81iwkOps9;1Y%SRd0fLVobSzufH;A5iPhw8ITQ2RugU(bXi(kfUbj_N<3KjyKlTX zbcz_^Jr8Aa5iOG0bnwBAU{cGs4A)W5M_j|6L^$~)gnt-)6yp}%rSWQ9YjClnR(vj? z{trKj1k*>PY=3Qcpwwn~5H+aQT(`imJe$~PA?#I{o8-o$DL+4x`PsY7pM1+jL%q(r zArB`T=6W`BcfK$&1j@^TyXi$^B;~JoNkbPiMro;{AH8>t&sLe3i|Y)nhi{p>y}_1A zbUCV@8Dt@Td}>D!FmlD<6!x&3c`?8Xas$!)$}%x8N>-FI5bv?eQl9;gcB0vk#E8<$ zkX^lo0#COqRm_Q5Zkr&PRknWl^AlS&2=?`jBNIXat?<@X5+tjTIKIrELha}Dtr91m zL!fQk-Qm>81PLCYeWVKd7rc3&V`K-e9YU%Z!>IK?+$FFBl!tEhbIyV5(ku&!7F*=n zSJXHdJxX4#*7!7VUc&tbs|*Jc_>Y%UkxZWG@vhL!Odh97SuljkO!RM4Eyip_Ih>?h zFfcrRhW*P>f@L5Bv8620jfgHiXWBaD%*W!516)#hWU}AenV`nK`)kH}(fhMOPGf1s zb%VEHx$e4(puyOGU9{ZP3MyByae+dm^-1azqd+{PtI24Qm+el+-5*6O!}$Esoxi|g zeK;ANl@6UL&|x4~ws7M5s?W zr#$h}8)_1$#l5grd@HL2>)IqCt*7T;EB6_!Nwmnjr)E(=!(cVFgr8ZTKKm|x2oItC zSq?0AHO7lR4TxgGc(zO!RaW<;Nc*@zMEISol4vTmzewPrVaZTuE=1;@W%5GDrHo~V zD=mneGFH z@cO5*@Zeok`-Cn;6BNo}t3ZZWxk*uiQudm;RD3gO)M^}Lx$(d%On~~OkTn_QY*BX( zhyc;LEz7yr`$^`%s|S9x*Kco$#FF%BvTd*5zm8uMQS(Zp^f+yg`{L3+NGZrKu{)3m zQhu0m8sOww5<&hih#^<%JK}+3d2*9~C<~77V5RK*Op!WOR5PbG2vHY)OXu(cZZ+?i z;&f>qH%q-?6R4d1oXSERqkEd^yQ|Z2`vEpQsVM*Ns^3O1fEZ65a0@}rD;5|o+r?cr4)imc%zp6u8NNO>zpfn+ z;W7wIi~Dx>g#k(j&R@9FmVh6V|E<9+JgMuabjd8#jW_-pLN|x@<)Y zGq@SM!~-UVkN~MB#i!?WMTA)RROlwdDMIjuo0s8yNYKrVcsQ2+2YNRDIA%<|l5XaU z$8kkrKg=ohPV6fYln@;+%p{BS^3UaUtKm$!uKoRw0K?YpdnT8&@J+i{*Uft9nG~fx zlfdN=tYiZy?GkKHcNxrI0A+~{I3@OV>?^8tmWq6Xp)pwSt0l9~g6B43l`j*&w6V>9 zgG675o~S!_jHn_%mZcY@OTO8XVUzg7ab25~n-tpjg*QF{Xyof=NPk($hf|)Jn<0@c zMAn{{2huU0&G|20p#h}&MeM7tZ7est`rhCwzQRvS{z`aXDl zP6Z8N8cqDoSFIak^&WwI!O#%1N1AA8X7moD8lA~Z81RdKT*YA6PNmqWrNk}>0w_NR zZ;S1|20n2NHxQ&_=g%egtEmN%P;Q4mlLi|=UH)fjExCQ#FHhNn@8!Xt!uJJkUVH=V zPISQ{DkWeqFURCJ;-iRiwtnjI^!a;F93kDfpJG$O^EZifD+v{$`PLW`N4N_hjnBy! z++@_C%h%t%gcwXK*AB}_hM3bLVQXLpRIHM!s5p=9u*T`CTGrL@#}_netFv&r*J*7M zEf5kqEuo{?kisO#cp45-E5jqGaL6s6t3Hbe}g9p)$~q>KZRK>Iu*tYd0A2 zwMq4zE+OSvjVl;&>R0Y%a+Hq|S!R7yJmB}K@MQMTl88usz?+p;3F2`cOt5iB>dvM1 zpaZ91%K{#2S_fYCZ!=pR{Bry}eDEv+S>`@1v#hiI7hYr-B`))nr*oKn=n=D`MPHA0 z`yK-xMNtlEi;HLy`P|uWOB;w3hTfz)+qK}gM072*Vn|%ZU6%-h#indJy966*ozS5cab*Dx%f8Z&; z`EZ27#iOWTmgTWC|G4;cQt|Wl>G}_xhL_p?&DPy7SmCuycs1230gbt%UKdU2w?EGn z<}m(0drw3VWQ-2WmppL`gltS8Aoa7t_qtb=peq(5$B4S-qycdVo#%V&Hs}Ki??hYs z!e&|9tOOF#w{~Qeqiz)@`(MjiAj_*_^-uSnFW|bg@-oB=jS60^Ec=n{Su`L_?^sI z_K5can6d=~lIlHF@=!nVHvY0!0-#n36sxeu?9kqCi!% zehwaY9LoZCyap_?SS#BqTxnKp6Z?VFk3W&+?2;Y0=0m0+vwZR{f3gKsuT|Qh%`X~n zw7eMQ!%NIw*v3)*QCmG67CCYK3j7jsuw{MLMEpkR*%14T+Zg(IkAKrpx$HigIM}1A zDz4Ff1bh0RW=DZ`)TaR49g&I;OOk#wm6t}XIn;vBUB**btXc5^Qy}P$2_YN{q3jn{ z-QsXg<;T=AKHn6ffrWJt5!tZ;=8!2dXl6FRv)}~rwLI^*?wq0{67we`y+?w{8xvg^ zQZd?#f^Mr{_j5C}935mk%fA-4PuW^8JB*4)Q|eEyIzCIkmfU zaEdphNTG#uAb}0Z33vDAx3O_6`&fh0w(r^lM>OtJ#aKg8K#Q`eN{}2~9jO#|FzZ2c z^0pQ8=wbQOC3~zjab4#+^@U0nQm2HNjJSGT)U88Uv!~|O_+;;PM5y;b@C)B0MdRc* zeEB!LkzGwlN*Fnv?I1o7a~O_Y%@3MTw^Ntp^eWO2>f70;&Z1(Q@e}?tOyhHEOYvnO zPLbHs$qIxmce|%fZ16}?rcJa9_=@A(Y~t$i>Wbl5g7N4+0RklqaAe5?X@1EOyb&L0 zDdbbd%D7-rbj{gA-a&Ua!G#<24{u3W{4dSD_3|{u*+Ra=hNbnz7NAnE*JN|`<>k$k z=N1g(uHCUp#ne(jQ(~Ntsucoeb@hge-$L|p?=JO#&Yw5bqOD6DV1^}P>`8Hc=TmT^A zZs|>a+^eoznG>ssB<2#MuaBN`rVGe~BA&6$YK(pV_vv!a>JEMsT~BCfB?u=;6^I8B zOu(%Jq{eSh3)*$Lf3I$$CtokhMV!>NPb2U2Z-?HMMmgIKzP{5e60k#!rSlzo|V7QemtJtd`>3D8nuhlsqO# zQ6D0=yvr*+2pj)ueLT2P_$A_vizRYBF>Q3c+z6iNPrvtx;Hnrnf<}O}cOes$ZnluE ztK_E}Z#54w?|&;+3Xn9wDdTM&>)M~^`Scv;t$A|zX(+Loi4Yn#i3u$TD$KF9OXA?R zTyJC`Da3G6*S69ls-Qq*gT)=!>LksCa$t@+z^c!nxJa68=MKl{eMU;HhC{OcwdGIUx07ChCWod~ZUf5?i!hX_#WJ^V`GTP4TYc1;KKgWf+ zT76;4m^y@HZs&z%5{DLtSVl;NkagcQI4;ubp4R2=)V9k^a)F3!nbDKYn?O7pHc}^& znWrcsjAX-+Q@yKeQFcin3J~gCp^>Abd#zqVUDfp1qIs7^^|I`6s?Hs#3xDziLm!z? zfEAF_0cbQPaeF3|ASymga*@3?u`m=*R; z5fup&dBxi`Ps(Jpx3Uy%szsuP_&2~_1IV*KLR2g!tMb z{C1`OsekH}D5(eU)O1kX(3mqXiRX4H>tG zx=dsZ(WIs|agt~)7B`+6m6yyqr^$i*?kQ}f)qr6-we=wD;(8y6tN(;gS(*sQ+OuDzJJ9rX33(j|nYWiyMWYl{^pUo%}mKW!=(w3q| zNA$&MU{;^tId$#1e45Gai!$?@nNSv@TXE2WA*;Sgu$cRX>|erc_~mCh%VFz11)Nx; zXbUeLir@+jT8Qy{W~Ljy$;#{WXFL?f~ z(oOK|ep*rV?rX(9FfvEmymvOm;Z6d`)h76L0#1SRG-$+qw&g(Ej_KF~@=f_x?BCuu ztbp9&g%0nx!#iKzfOLWvC+7latQ&wM!wxb_W6{gvnaYLr^^c=u5V5gisxtMOmHCt$ zxHk%&6_Y*uy}Mw0PgrQ?^`|7qlJ&k5$_nolmKEE(jo{%)^=Ls6p=Q%P(L-opiSDd8 zo%_I$Aw7?O-Y*U z5pI_^#g*8%C<|%0>*TFyHuHks{KmIL@2y1lbhVSx>DF>w z>7oRzfd$d`{%KV7fKydB>7Zum3#mk-9naY{xQnX89c_;|sUsti&-8nR^Y8>{g-#q{kH)q-XQJvF+sr{VDo&Wbz@kVLkDC_aY1ON{Gkib^d^^=afYiy8{Pm#$?wAshh7Jr;zKQ7o_M=;?S6P`V+Rsz!|}WZqjpSu;2g7t8$=3+@J;{_M?>w|{}Vkl zQ8G+br2gdSv393MNcYaA6haLJ8UYs1)VGB%59YrEB^fh^PD1iza4M2}t5PDWr%d^E z%&z>oPp91|S0ZyyT&^bi;gfg33mDembV43Oi(HJ{XFW*=QYmx}isz+{Ses$1Gj0q1 zl1QN2$GjNA>TaIzKvKb+85Z0F6n473zRNrF5WlrjgOa5IOtat458QApz~aMxeS-ik zHW{+Y7d+tZam&;_A;Tma+>k8c7Y}?mBREVPf0;}4SjVaGwZl+#$eSMiLTjn%e1N4e zovSf|qlTIMbN>qRfvYrAqH}rkm^jl*xe5tKhRDx7sqXQOVrUNEpG^IcBWzH)bz2zzO)ilL$vA8fj zYNLXE%)bL|Zkk(~_hAz=bP>E|{11CO-3(sK%1jHu^RR@XCiSnOr*5iM2k=gH7w9Z+ zWOUy#&VJC>I@n}qEx}zjReme9y`e_TmP?(pw{4#zY61$9bV(lXd3dK}=~s{xAzf2D zD%L=@sO##iAyq9Vgtypwd6DC>EWvSR^+^N}adQ7jtkvS-o7j&B`mJ3aSp(MZy04;F z)o6V{gnHK!Qt$~uY}p7sFr`7?5u|(8E{_g}{0@B)C49SHYn$>SPeO6mnyg%!1Y}G} zdqtiV2hRqV$<=Z=C|HUC1vfJq+??glVmoO+Y3q2DftfE?-4B1^Py{O99oihvpSIr( zCz7>qSFx3%WM*@3n{O)+>PL;QrC{$@i+M>H?S;Q8DEf$eK;TJKqO&-A?C6a(;TP|+i`*gsJ425QZd zauW^rp2w0KKnqDUBYg9Mc(+^eN7pDWgLs=SCta3Fjpp0Xk49C{EC5w}w&?a%?0WgC zD-w(u0N@NTc8Q$)ahzOLTN7i^`MYu+b7JaSH~yziv}jb98`3Fdp|vrR_h_oI?pMUF zr?nYutoN*)C$spt7Cr&UtPA~;L(gYV>I-QNv6SiUF+5F;Mbifsy6;%PiM;jZUIVD% z6Cvy%4Di3ejmNkzaym-UudcAcj5f5gCcQc_BX(rmY`E_;P#0Dv{HPwNVDCSK$>X9f zb>#o1fL{5)6Q8gc;p6Pr9K+1rSBRHarQb-K<>KerqY`P8T>J;5Q0d+$nQEiC+Gh-Y z%N|qF{93|R(+H64Yrb0N{`zzv!`R}qgaK*Y%CeX1ysPOr?DGQq_pLC77gnzMuEg8W*Ix6BN+_n z%|qp6=Z?I{SpZys;Qmvep@GU^-FNX@+8$_LQnYsUox&9Ay?<)4Nvw>+Qt{IX!Fdig z3tjQMWJzu_O?@$tZ1V=qvktW8`jPa18KQu~{+ZepDDrh7&du#mkV@=>nLHE%MxTgl z19U_HaE4EY!~fW$433QiNV0FhAqp8!#D{5fV~6Ba$)U6XWOTx(H7x&|wJ@u_HjG}o zjnUf|dte0)Jn`mKzt|9}?E0VjWx~1bC}w;`=qq<6m9@)^jC_vQna_)uKrfUZpNT;K z5y-8~o(wNBJXtDNv^Em;vP27N16)cfVT2MsFpKWf;Ot9km=!7aX}`Z)jT9eW17^|t z82VQ~cl!oQ6Cc|a6bZqA0SsK->(w`T@gVqm_XUJ5oab3&qnZY@Aqi+ zYUJ9Y6;tAd1#Bc(e>M0K>}AqUtm|MSt0fwKo6N%;At4aaf`ASLr4Tm}sLS`?)!yDF z59JvdI3(#(sn~`QraHc^w7?1LY2mP(l`BWhGh=3=Lf_j*HzZ zDq@XJwC&Ns=&D`25sxpUkYSGkMt*Qld7cs;lx$&m*2^R~VWpcKVC;zPqf=+Cf)sQ1 z?eBM+RlKiC%2wB>4JHXO0h#0Et1bb5c}}IvX1Tb^jp?Ac3IJdo#~xfyemssz=tL*~ zxmVR$Tv?Twj>H$lWXI+Wu2bR1bKDYB?a{l6k{)CTnB(`J>!8PzU;Dm%0<8g^Ce+70 zLW^->`YlWu)HW9XkolQar%nZ5^0U*UJquuc1oGlP!V@f_D4Hg|UOe$3uMPqA_ojom z-8MpA24(5>-~D0UZOoKdis`-IG6)f+c3dP_(_d-L@Z#~Hh#!-eZA@K!VS~ESm9Q+R z_!nl7z>hl_HLr%^S7k7R$8(t=SSm^rG8O{hneUkhL#o3H*#w|N04rs*EUYKbtKxC^ z%bhufT9>}nXuIkZK^bE6_MJ_9BwjP9e9~;Abmn@y#l2N@DP!%KYzj{$?*Ks!u)4?E z>Ft1XLi=CMr`-E5MUQGgEn38rC{T;1IJjqoLzD)ssgw}>9)aQRj=LFchC#X#skxbO zh#b1^F0Ifs8<{xTo=AtLC#C#J$>v1}|G0*Xl$^`hXa6O`jYQ+Zh)5BYe;2(!j}3Ac zGMy~&`0(nHMNQVc>2$G_Qckp;e-Sq`fRZLyn}=Pg zq)J1SGZ*|(o{;x*M*w(4FE>LmZQ|LTPg~m%ZKn(-fwWfeds}oe5r$`b*CTCrG2APL z)RPty2gs1QX=k0Am4y16;Z(S-1adv>(lmRwI}~Hef^mj4f?cm(lJsq_xKKf2?TOTX z;+t|RYpV@|AKLu&ay00Tz8z^+dg9dK%9lM^7i;Kv!e^%`bcELF`IAPhkhiQ!W5NnQ z#2XH;-`J$nnvR;{7!L3qSEgYD9YId&oBy(5c6naBv~LtK?EQ>0U_}zZf11?Qk;LEG z#`%S8<5LeMH(Q5#FQu`*x`W=!;UjK+7;-^O<1SM`cW;L*KqR=E`)@nZfYQ}^GaTvw zU?52io#rfv!AnL_KDEqjx@x-Io(f!VrXPQ&>c@ZsbVI;5!NT!LESWk$xpkyk5hUQWl+xChGQPaKu$v`_t1cst0Uy_n+&&A; zR*fJM>)ENG zAN{lsd<*L@+$~%bxHKG|1OM~0Oe5sx1Bb@v~gt!ZywFvMNk+5a9w1 z)YK{P7hn-Yp5uQPT+YMf=HqZyv;~rg>7QkB@DHIE=8!mxTYRW4uQYI1=8y@8!zagP zrcCHeY;#Ddj7YR=By?v_l1AGAc|r;nEP{I>1Lp<8@$6v80Z=l0r=J0oWZaXzA5OvL zLnW|A02os-RhdS7rf*hTbzc6cq>Qi$XZKwyRlr?;XXz+9>X__^GJ$$C^ zE{nObDBCrCmcXY*&SaE|e;*j$^@%){c{Vleo^A?U-}(l4*ubNOVprL>3_ss#uT`^J z9h*))$3_pE8k>n=Y^V{g;M{e)X(oXTyn|?#Gs7ELu?N!h5~H%HYb@KhlamUTVY#Jk zT~_d09`mdF?Fff;vwMRiQC551T>pcp2QpZx18m6^pM-NDXenL`w+hKWO=);d{0=!Z z9pX05%P?_d1HAwYPt*}if8SlS0y|<;wO8FNgFy9R9l6hi}=2s-H z@{s|`m!owU5ip6LvsLScLK@<6)hhg1G)Y?mz?V;BmpS4q4p%nt5c9IUgP)9ZVE5#2 zEIA^qjuCmxfAYQKRJGs>2cAiIa24Sve{asQ>ZiqU$q9ZK*#D^_vw^j}Utwa4Zfau? zj1kcpUkfAvqCG7>b#`PD#PS$Yv_FW7$#qP5rxy3+%HaF>rI!I2vl;E}X?Q^LOEL} zs3Sv8*1^Pd9Sfa6V%=_*PTxGnOt4s~Bikxz6fU1qZ~t>mCZSFiz_#I;^_ zQ1AxEqpTWl4Crtl>l~9zB?sHao=-$aGQ8xIgD7~jT?aH{g?Ko+_-{GB-dM`Ws+ZIE6i(Z_a)@DxBoG`qjg13lUsP4@-&5%0_N)m=lvzVM^K-^@cQsfgURiueV>xmStS5 zB%+v`;RoJxZ??Zb#!vWyY4p$^-)V2yO0q_LSJ4>g>oxh&bU?dzP3jCUPH=75i{O~` zpWbS8rZVk*Jnwp<)*sar1DpvEAA=8>>>HydCvNv7S>}At$Ie>kV)ggK1ps_UFftH{ zLdYC-{8)8{C$%?*#II9l6|BYH@!A-EmO6@1qGws>(mgXGtu(w<3KXX(bHtT@)TnOI zpNJ^DqPX5hkN&UyA<^}hLV@YX)KCr{g@;?A`Cnz$XoS3lU$C~k8)4*> zq)D`g3YH502gA7|%ZWjdg*$58o{}na-+cPO7rgO;Tnc%mHFXvQ+gIj}`6eayB_Rq6 zocF)-Ue}ch3D>M7Z`)b!uOfzo_f&kLb57%YR>PkAFa+)q?K*brHFX29@2R@ftc>SZ z;je7ky8_O26Dly@X|?FgF;Gio`|^j5iuRs>Y)X$k{AMxDi7W^K|k7A=nQ`PM#2yvxdBmZwZ*rs)7nKC zM&13TA^pq^jM(fRKQ<@~?qu$-j5q&ad*2KY#o9c^!{bHK);nl zseL4v_QGJycSwm@QL~;a6zyhZHKz-@T6(QQ_Z}`3Z(77y7Zp z#2###RIWW~!3R)`yQ5CI$*PLPTn;U%U%0oS)@6vA$RE!@`of_P34AX(5|1W42efkAuDK=7eu zSmVGiMB;Y(S;A^M9&2frY?+5M!?ry@Nv(%<`v@1NgJOiUSQ>S8A?@RRMRXzFhE4A& z(3GVB(UJ7W6u(}?hI4$K1KvKo3uxA}=`TdbW)=~8x*hvv1BW-Kdv(jW9 zxm4HdWw}_Wt%t*>N_)>ByDQO5x& z5%?6LdGIu-JseS8D?Yz@9;XFDi7%070CTorcSqPo%s z;HZ8d&n^T67QF?0Y0y$)rwaX0w^@RkIO<~)kGeL(%P`wA;Jn-5&BKi#IiEO4F96=W zfEr^HZ9wWtNCTI?&GqdSq`S$IS`GTtDt%#OZl?V4HDo(51P- z^{py>vuVdQI8)RNdr!EPx~ww-}(HE#S)FBB&@*9 z59Cg1p_O;F;6pV9ywmK_#XvM)oNYU(T2CV9<~6BVTwPY{K5!8I1o*8gqUL0Ynl$EQ zAet-p^Ky8p<_VuU<(S~eyttuBZz6s=E4&q@bA1Pdg`|Lh##4U!!W$xO1mvLYrxQ~( z)N3b(L}^tIt)6F!q6>pHRZ1ZcP&zG-(X)wC!m=^~<5?9Jo@Ya%zBO($t>0ppY0+(? za-bG+M|Z#U{nY|yJ)CS3jAuOI)8XJ7q-ZvVldhw|w_x!SC7|}^?#sOhG5(T z0Da%On3XL0w*gq-+#DL&rdJ2xdYF$Lw8NQ~d;J#yq^`x^tWP#*SoDrWc|_S99)Ihj z!6tBY!IajgUW#I$V7ozZs4%ms46P6I{#V>968TJ78c{y!t{rXaHIiNUc436X;p4#Y z(Ut=3Hv?)yr&ln^2{(wCk11m4g6He%5At9S6&3*c(iQvyNCMk9-II?axZS^Atw?{lWN%2MFgLxAoCMcU1YTu zrR+sTMPjHe3KszIBJawmnTlNZ*{U1vq3m{)84EAYE%su9uS?|FutapV*FQPpZ# zt7)+)kE37uz0j#IumkfeV2%mO`o=aduD&ebt^%{y)#bHqg9cestB+P{olw_5wVk@- zQpbBmXAc2+*c4>LYwvC+n}j{SYPT(TXt82@QItqE)hVCHR==@(E=U}SO@RFvDNG;N z#CuitZv0|f$F}5qV*$X%|7bvoi;Ei!0)t;GJBy=PN=`mXcq0JZ0HZg%aUljP_FX>` z7g4qpv6GQ%nbuWKwaWkRG#P8>>C@n$Bcn|TyrvRcsVt_{?bSY=UXJ$KL(yoESSsIg zt&-Y-R&3!*nF4f&_rk*Rv$eg{|1%Awyc1EY{iwyxRRm|J1uQFffUp=htp~=e+ zm5GX(t~(F)jKa7BPuHpdPqearu~JWc*lo?3bnSR?#(As-_?h*a!+yu+UKrwD87yy@ zg7AT1zVWD|y=+Jsh6LeD%)}y)oF>QMVpdT{?WHy42|CkWjCGD#7?yL-=jP^qH=KRJDyjzv z5Q?@f1bV-==&5CtqrR)uo0lEBj(Y6oIZkIP$;-qnG}H|Z!B&4Bt^Bp24!pTbVym?Y z1VdxQz}!y3hr2T{;i`9b8H`df%K@`euYWO1=#N|FruK!&+Kw-{C?!I;v$NG;$i~eL z2y?lO_+X+Ch~^IemC@aq>FnxsQq7is$(vEL=rm_3yCI|fXE)nGedUwGqQvWuQ163V zITp0L-(Dttd541!NLo7fSv752S+XBX1QK1q4w=;RuEHdfIQPf>^desUacQG2p@_%I z|1uL_%1ZmZo>tzPs<+9pS$ndWNB)JI!+(F5pLB#()Qc~I{Ky|`<+kXH^X=&^+XvUc zx>DQp&Z&HB(?Z*)o9|9o(6*+*O*+hVwXxMf^(ffZYd23NqRl<+(DS=y3^H9-n@kWF ze!%eXUyIkUle9?VzFP&XB1nC@wyh3o@W0E<{3WRHFkbCM%4*{)U`0e zylw7q#w;<+Y{9baf0e*B49e;l2Ij=Ty>;|3V~>f%!z3RpK!CteQ2sYpTm#$7E}UI= ze@ND=J{pR0bvy&Vnc+g0!jj(4)&&Pxoc8tKY*?`@#Xg-WC9MCL=(Xc=RORLy$1mZ# z-+2F*bkrA&umS(|@%_qtFu;Hp(VClkSdh|MoEGthn4T+wZD58gO+?Sr+%Sb7Q~-ap zoEk?TMt05+DyfMEg;dUpHcYj-vqPB;4Ej)=WwT?p5~ZdtUHWqq*48?~WzBwgr5=!F z_d_hfYrQ@U>C81d+Aane>_Pj5a6tnAMD+^z3)Xu0ko~*wI27Y(B%1`n!Cuk->UT{6 zdL=kpq0@${rvVd`eDr;_xF}cWyHd^1hV6>cLj-P%bRloIbQKVFo7x|O{Jf~BJba${ z-u?MAp6A%`hQVxD5}!ECfcSYtXtZ8I#*+q$+M;Hnh+U0}ON#0;jDS}hEpK|8?OqwG zKDoYaF~CAYLqX7IYe0V+E-9s#ocW>gZ{C^w$Veg$f)vx!Hi@}3rL*kU)_H#T)`y~B z{vQ88#~c=Qz9P>*`;vX@BK;f+K}SdDxPKeXm(153=J6-~Y|qM7Mp3tTn$I!K^kado z0k=l^*{udf)7F7|^_`uKq+$+H%!}bd@((}!D5P0GFk%0lA&)5yu|^D%)G#_?9I`tk zj2dd2DCtO)-H>`aQE{{1)&k8azShl*d}A266<8PfaC`OmmWfoN&5JO->?njE=vWgG9E_s6LzKT%ksXVlwM&Z zDYFeWAu!mBx#R2XXQVPxg)Ut&LlJnnx@U)NErI$Uh`aLhmCdZDzdhN*ovmwIjCqXG zvB_xLt`H+Y@vGmd?L*M?;!-_YDjU#^!=bMiQvpV3sO z7Pj{)<%|zphbl|BtrN;CQrW+rLeCal4s2R(B>!oCC2d%LB+3Qb*w#W+8y>_$ut*+Ev z!F}qe9?OupF3FKt!>S+?))AHX&2J|ekKcSe-o98dZQP-#I$3|J?fg2o(AHOVj{mTg zm&+VKZcBD!+#|~n)>mkM{xv#7SVc;Pr$a1W;tdOCjY&J3)@v=<-~=x!tJ6M@Pu{vb z0aF`&i(fG5Urfu+y9|uiL%+6>N0%2Mv_*L$D)y6bA73N2Lho941BwS1LL=vH5via7 zfrKhAUY->s)$nuN&GN_TWuupvUe0%69i>E@vG|q^*H?Xl?aPP^+lzVM$vGRP*4Y1g zJ><5X=CkIHKJn@maU3RXVZz6?1+sSzPYpL6ENdkq0@9k5ua}^Q)M>+NL+8W(>Em>{ zX$&ePYnGh?trIdb0@w<%_0EOMB+AxzFe#)Q9_#(|(!mMOB^l#}FlpvJjV?%q%S&^1 z>)il^%H7UuBvb@xjcFUxDGwZ7en`0XUCjk@sK_zY9|8IaAqVHFM92Fe87A^=13u31 zw}F`_o>T0oVTv1zJG#?MjAS#G(Ms~VY!B60KOU@zAH^v0X}uc7Tg8T@jp2A}Gk0VnR|#K!a@g9v+~%KmZw+}M)QOOqG}D?Ajl5Z%Xwz3))t#F2(8EVM-t z!t|=5UW9d=?EXZuF|fHoK%uC;FrD@Aq;iQM{E+&aomS@cy0CH7__zBg+$Fsc z5fM9muR7Snl@FOx3&qw%)#*DAN9rkp{e$})k|zx>O(T-PQ&i_l&1{!FTQY)pyyLmG z);7ualTh6>2g;#|afg5;c=1rSwXa$$?JiquiN9|>weGN!1*-`e{9q=e(=$bmrmk~j zQB7g|Bz(tw|5EV2`D3!^DpBh)sx)JD?=Gqj3v&1O8dtx$iK9`h+4 zTVH3A+}|_q%MFx7uHMyng`GURAH>SKe;2|eKTE4c2lMH?%|4y zMZ~u-?bd@*t#te6YMR>B*--l%1`Ygil&nzwv>Jpg7!20&E%JMDMoD&O&P^Jxb*m%n)PhOosMec3N)`jGh@Z-z zGYr{bEI5h0$eQRq61eWK{OgKW3sK!vF8j-QjinIR$o-xrCePLd>$6I6dG^!REtNTb zut?T*e#nxPe4nX(OtaimfwDIK=+YDRbTb@}Zjle0mlBoC6IUMU?%A#~bL(Mz`yo_7 zLPD`?dNr*>J~2IcW-S0bULxS}TC4oqx=Y`&-_hzl9);8N;qc&u+`qLGG3G^)m#<;W zDTMw{@yTu$(u^O{H8zqJpIF|KIUTrnU(D6*$jRieGKcT@{%ri!bE62kwR+MeZ19CP zAywhMYt|34@Xa$sjN! zkt|U}k_bbTvk(}Z7_`UCs@5imWRdv98tlrc8 zn6G}vPl*#nDZ3$pigNXeScBNICchX~%@WP8>Xg-bPLiVDD20XGs3Ums-Q3_68B%bn zuPi?DO@z*UPyFj&smJxU+7VUMPyQ*xSXHfk`qaFc8L02~AMvRab7a`P>kV=IJ$03= z8Gb{Z-B(hrR0bSwNsh~HBWEchm8{f+&#l&8n`~--{zCIPiPlB@_|HxDL#|tN3SZsEC)296b5Pp@t=kq1pUvXY5o;zf76>YPfV{n zb{1Ziq8P`|_I8CdRo*J_oHekKlZ&t~X@n{m4cjci`q#$_BT;LB&soyvbNioJ*c8JQ zgaJMzFp&yjKu85!+@&p=eyrC(XZAhj?H3ZY$g)`47Y~L~X`Pc$g^*9FqwJagHaRbO zqv+x>vFYX%+!{Z1$z+7un=gM%#)M4aY*^9w<4}LuIuqfA_HEw+4^IPz4SCc4jc=Rm zBKn{23VnZpHj5gXxMXtRL`bznb2tNk*I6c>O&Xaod8ZmCktVsY%wj7NAAjdTZe8q6 zGraieeS>J#u})3*8%Rw_6d0(mZsdPNm9s7)J|VB~I+hgtn2qVUuZ(IMkcxs_?a*9# z{V<=~{NU-YshX;3MgOj!BE5BFHXb*osIndThlkcXq1wE^(q~0efzdqE;FRFkU>!yE z+#vjBTFJC-NXzPjf0Ne4!Na0T_l#CC{P6jR#glh^cx8QbklVSicSqmytkqZT1H2rr z$?7zsjOxb`z*jU8rpFBpJzT^(U|#?%)Rr4o#K+s|S(&WD6oaDF_C<7!3VSAw#iV=+ z8#R^EBQvJ;1nCdd;r*y$hq>Q&Ca+<+Q3?9K)r%uV?>CbkIcG(+*D|s+B081fSk*zL zmF8`ohhY%{iq``~Yw3{D{S=z~ z6AA5{N=j>0 zWUr;=8XpaqZq$)&mwD~cn<_{H{;W+dyB`R!+r6WT;A%ye( zgnk?OY~-#FtzSJ!+A0>y$YlS@evSSXH8uA94v=M3w=JP}AScPqrI;cbUX~`b&Zy?V zD9OLFM9Q#PrF0x_}E#9*{d<6w9b97d_Fu4pp^cpC+@t&o+81n)DKkN z^}!}NI209$URp?dHFFnOe^tegmF+&dFlJ2?vybWNU{sM=_4^wV*^GZd8 z2EiZsXAD>I7+atAK7})W*%9L=>swlDTou;ld`rokBeIz;l8}`T8mh(XSi87WKr(ws z51sUQ{8cNN;eqFy3KOKx>YZZ6WZjXodq$0;S=8aBE5_5ZDeEL6UGV5w9vItOqIj2$ zbe(@>REBiZu*JU*SF8OQ1u|3=D$ehOm)+HNjByORU6g+1rmj`Mp+@Jc>6E0IddmuG zC-rZH&N#wo=zcX~$J3c9wIwe=I2H8DBnW~B3m~i7#xCTw7ypJC1zuIHyi;;}O?L;-`r{7LaAIw#w~@AjiR1h=m}$h6B(u^xndBqyoq z5_&J#X>FaMtC|3EjM`I2T8T{sw+BI3k`dFqL(z+|MS{nl4vzfDI#tVuq@kg52%&w= zsNY}TOZcEAe!@26xKw6x)gf?#3F6y}5{6d?#Q4IK!qBT7=9s&iqo6JMT_AOpKhd!K2ckzN`!3@S5vwUyGhc4WE zX-;diS4BAaqYr35T*GNX)?gEp`N>uQ%PZq&x`u8p+8GFBwmW$$CUQ}Bi#`UWa8>BN zD?+^z&+@PkDm)n5xw6P5TK|~$TZ6|viu#5SYHg}|y`*R z%oX(UB~_!zGqfEZ16O;4Ze4B9;=epML{!(^5;O4h($?S1teuX;IE?p5rDzg*8K-oh z43DM)OB29{?Dm<) zq1-n;-L!vkq+~hw#pFEt+or@&rjhcO58>-8LU=b9xpzCOyTJpw-4_;6Rce>|zLuTI zPTBIYocpG(q+(?%Q4j^2H&H<9PW*s>iRV`oAs8fkcTsla@eC^~+RKO^`M%%Q@4kvs zv3f1N#p6_30prf%zzc^T-Q7HQ@0vHgAu#qo7-60a8-B_Jay%@(?^!VqU(=fw`^>(1 z2((Y_er3F~s?Y*=#}9l*wzrf?J-uzRs_Ombj#s2TXv~En^=QuOl-JDjzK@dp#?>)Y z94dbX)dgR+kcpQ7n!?@PU8zD=oQ=Dyo3{kTb9Ov+895;`IL*0Ms*ehq`na!#w0dMJ zEKi>RRgI-o3@`a98nsSR);txZd0$5@#7TQCzW_4_n9ywpvXq+~F3yf@2Xj<=(!`6E zeUTl(9eYl)Tvb@Ov$KFe(t1{ZykXV0g#5Ez0uR&c1%}!6wXy0a%|Ix9T#}MjbbMCf zjbG__5v8=+R=MNZKwPvJkGxg3^0-QBy{TZD_zRn@Uo~uF9Z^gjwI1t64gK}6_5hJ* zz)RIr5n$MRXj1EewTq47Laru@rm5Mwyw)!J!Ig}}@1PDBzO_-!!A&`AXvZ2xw7AQ(!)%2Iy`Rta~P(q4SE?N6sYS`Ftv-gi2RASant zcwHrSr`cpX`|enmKZkGW@>6IAt4!BnivVLo04N#@xufC_0_GgKzs6hA`x;8EYKFaM zBnJLUBs}QuY+*(eu=I~#?y#Z3BGysNQ4Gtq`Pc!wRlE{=Yxm;QFC}17rh@^XZ2hrK0;y3sk!AN@iHHm=oiJF!JZ%l<@lV-R^`BA6x;qa!A=TV25uhp>JV`+RaL= z#LKxGkL52!7Z(?A)6(w#4r3i`@I7+zRL9+v6;d*asD0{O#q@cIhwm%|Op7OXMk!P^ z1%VS4E*6uc`u9FEPQ)!-vv${2Q*r%cn^cJ7{(ruOXkCbxuAnBl2D?e__88ajAr&ht z5{>x16>6uf1cAd~FuaAOrO+A(XjVF=9 zJG0FUA`Ry@jYZ+>!xtokhC~9mp$y!N6aA~$^83ROxL8^gB*X7kS}*Mu#y$LhOH$4W zUkRE0t6gTUwTJ&vL@+1(@1LChRgK4KMv3XsAjo;RhP6LeXBC#@3K!-DuP>UN_ zCD)#efKwi7h$biK34F-=>f-2u^LFRBn!0+5#7lNSWuAjZ@6HBO%pLeh^P6V$cUU21 zRkXCIz<;c5ZAJV~-NCHgD&0xvTN1fgc_^AdPXXpu)}YOsdY_F)AIp=SY?WQ zVBPG%1V(+ z3R>ohFc^KX??`XE@eBhFZ?7`?7SK=&;;`<^moGc5l(g%Y-<`OtCkf~U-z3wXn3!0r z`gY-@)WL7`ZZc;TFdXOt6_|BaoS*x_ytaPbJ6LH3%HdTgGHo#8$xX1J=M@pr>CKRr zA4iv#YDuCr59T5Td2>^z%lT;|eE=Wn8z;cVTj*|LaCN>cpQx?2`Kw0f+FDt^97&}i z=nDSu)>NG|dpWJWy}d3_gr2Hu1f#5v`#r?F%4AmG4I!B8LTA}Di_;EoE^gX}L3(0# zb^4LOvj+AsXsan3^wH4Zf6h80+h!LHI^Dp6{xUfWQ@#!!u|_3(s=(>03Ye`fAUnJ&K9W)&E!ZOTa!V zpwUo!Pauip^}>QR9{C*!1!ZOBM~=Xy2eKa$T4C#7iO6LL=DnCtlzfp3~;8+^?O?&LK_H< z4|iMcTLiqeq%4<=Q9GAw2H%<;#r8mesPyp_ZU051{Csd&W2ii4J5d{o@vteg=>=BT zXbwnqq0V(N<9&`pMrSVdDq-ZzmLL@Po$qvvZyuIaMt(>pYcXH>nTb39ACHtl_$^>X zEwLM5M?cO87;RLsug3#!A`p1eZRWjRRCO0%D)5%HCq*P|W5dy=Cz;BT4lb1OCEIdc zW9Q6I&iUJgCuxiM@8*zYN7gSp&eQcN;Hdo|=(Ea?M|&#vJtlg(n*F(d6S9%@RAOQx zRCvE{Er^f>3`EX+@kipq!orPWTN@jEKU>F?loam<)BODW#FBJ)(uC4_3r!nRXD+t9l6#lT1GBi6KAxp6nJ$B5;p$8iAVt0VV5lJ zB~UdJAPwwQBTXy{$I1 zH5mi9w*hHLUST1pprGI}i|3!&`z!&+7C!qcR2vSWZNK!u99UNvfgFU+$>Ch^QB@@d zT84b5@_KM+|KA(~FfuO3`0w?K|K6JPI^97A7Jk(HY*b;N$SWvF5il|~ zMu_dnkT(NCvBJ9RR)znWrw6e5@>+jM2;?EutkKwM;;XWW*OW(*vlFv~%O_lD#$CL; zy#M%i1=)PwPS@eBwVbYgnJt{wy9UTwv_SgMi=-3O7ZMU$6AV02*KIFI&=#@jc`{Y& zLGs}aP_EqRhU`km ziL4KTW*Apj*GYfrQ?Iu5y_4Zy@tH#KhhdN^6{kC7SRO02`(l!xxh-wgJbG_fe!D_7 z9%L)9gZ0T&otJ@rfu2dg$zqe!8H(ZO+Sq#WHx@@L`cR+UE{L9u4f^YZqy2E6mOY?P zXG0GC{P_uBmfX1b_{5gqPsFF(<9VS_GKAY)D>2MtO_zq1wRmoReq{KIjvn|BD!p>H z<%SQ??gd^Q1r{_nD?Trq&(=_-Tu)|<9k!{U` zx$4-D$2iLPdXQe4-gYm#W+t!;36;W+ii?Wc=6A{^%Jo3`7$y0O87!tsogHmM`1ts| z6@7eNq)^KvasmR;)z#IWz5$@Np-V}p&WZ=jG?zHkMIIKMkZ`*_npxe%ggHpzbr_3J zILIy9+S=ax0}oS#tW;cXAOMKL@jHN!lZ5~Yd;ilzBnzHKx{RdvrXNa9_6XFC14Ylo zNn3~zZooxEtlCLuH->z_o%Fuw{PBaGiz@_2ft}G$=cr?9+6OYbi^QG%jfwcGX`e_I zS)US6&F*a#Q!19zf%;&j6-;o=e6(~mAj+7iaG(QUxv~Tp;BKxr`2N!IJnL1bLvcg< zWQBv|t6ffjX2_lys0*WyS2Nr?(cIh+ivkq;4&v5;_+1055aFpPgDsCR0h`;2& z;E9ZkexR+VrIrLozuYM5ytZushIE`PkH~xwhW`fy!@;T-Gm$ve8Iv*~Ze>w3iP}*D zAIQwh3&$Z21JhR_`T4xyWgjTuNSVa=$44E-2;<*Jivs_f_T841VWGeSF=puy`vUY3 zbs$GTK)_aI`}{e0P(v)~Z(bdD$V&hwd56)$-vGj$_MJWD{}8hcgOgw) zrLdu<6DxdgiNtY}z5x8AHJs{vj_wKMlQdg0Gn9_ z)<}O_1E)rfgKUG-=6rh;hpa4$j7iL8V_fL;XuE%7q6`!Va{gzBxgfd9fUoU1squpZ z*z}Huk6y^~hFDsW3AzETiTcqRK|KM|wdBK;J}!Cr4DhQfFp;kSS@6@60MLGqJnTAn zJ5pN=q-I*@sD^9uv#|w%`Y3_vMSX0*#pw>Na#~LJjb?JL4hmxpNM0TKECONy=$ne4 zpG-XDvD~ti9GLKggoK#1wC)(T2a~xOV)WnX07Ao&$n9AcVm75^ x&i|IVo%`U0;{U35|6520{ohOC|K8GcMMy~Up=apEi6S2Os48nJVHC~Z{2wD>Ke7M- From 877333562a910a1fcd309628fd46a92d856e2849 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:56:06 +0300 Subject: [PATCH 14/98] Update student.ipynb --- student.ipynb | 70 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 70 insertions(+) diff --git a/student.ipynb b/student.ipynb index 0c7c4121..854f055a 100644 --- a/student.ipynb +++ b/student.ipynb @@ -947,6 +947,76 @@ "plt.show()\n", "\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data Preparation\n", + "Data preparation involves essential preprocessing and feature engineering steps to ensure tabular data is ready for statistical modeling.\n", + "\n", + "Data Cleaning Steps\n", + "Handling Missing Values\n", + "Identify and address any missing values.\n", + "\n", + "Handling Non-Numeric Data\n", + "Convert non-numeric data types to numeric ones.\n", + "\n", + "This notebook provides a detailed breakdown of the steps used to compile, clean, and transform our data. It explores various iterations and examines the effects of different transformations on the dataset." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Preprocessing with Scikit-learn\n", + "We'll delve into exploring and cleaning our dataset to prepare it for our Linear Regression Model.\n", + "\n", + "Preprocessing Steps\n", + "1. Dealing with Missing Values\n", + "2. Converting Categorical Features to Numeric\n", + "3. Detecting and Eliminating Outliers" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Missing Values\n", + "Below, we'll verify if there are any NaNs present in our dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "id 0\n", + "price 0\n", + "bedrooms 0\n", + "bathrooms 0\n", + "sqft_living 0\n", + "sqft_lot 0\n", + "floors 0\n", + "waterfront 2376\n", + "condition 0\n", + "grade 0\n", + "yr_built 0\n", + "dtype: int64" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#locate missing values\n", + "df.isna().sum()" + ] } ], "metadata": { From e88a9c47a817ed28939352527aac357ccde9e7c7 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Wed, 24 Apr 2024 23:56:54 +0300 Subject: [PATCH 15/98] Update student.ipynb --- student.ipynb | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/student.ipynb b/student.ipynb index 854f055a..86ab5e57 100644 --- a/student.ipynb +++ b/student.ipynb @@ -1017,6 +1017,36 @@ "#locate missing values\n", "df.isna().sum()" ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "id 0.0\n", + "price 0.0\n", + "bedrooms 0.0\n", + "bathrooms 0.0\n", + "sqft_living 0.0\n", + "sqft_lot 0.0\n", + "floors 0.0\n", + "waterfront 11.00152798999861\n", + "condition 0.0\n", + "grade 0.0\n", + "yr_built 0.0\n" + ] + } + ], + "source": [ + "#dealing with missing values\n", + "for column in df.columns:\n", + " percentage_of_nan = (sum(df[column].isnull())/len(df[column])) * 100 \n", + " print(column, percentage_of_nan)" + ] } ], "metadata": { From 4f88f7a916636c259cf4e83d3c6f058598d97276 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Thu, 25 Apr 2024 08:56:39 +0300 Subject: [PATCH 16/98] Update student.ipynb --- student.ipynb | 100 ++++++++++++++++++++++++++++++++------------------ 1 file changed, 65 insertions(+), 35 deletions(-) diff --git a/student.ipynb b/student.ipynb index 86ab5e57..b429b68a 100644 --- a/student.ipynb +++ b/student.ipynb @@ -135,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -175,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -303,7 +303,7 @@ "4 NO Average 8 Good 1987 " ] }, - "execution_count": 44, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -327,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -336,7 +336,7 @@ "(21597, 11)" ] }, - "execution_count": 45, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -354,7 +354,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -388,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -537,7 +537,7 @@ "max 1.651359e+06 3.500000 2015.000000 " ] }, - "execution_count": 47, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -548,7 +548,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -565,7 +565,7 @@ "Name: price, dtype: float64" ] }, - "execution_count": 48, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -585,7 +585,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -602,7 +602,7 @@ "Name: sqft_living, dtype: float64" ] }, - "execution_count": 49, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -621,7 +621,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -643,7 +643,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 50, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -661,7 +661,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -700,7 +700,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 51, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -727,7 +727,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 52, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -738,7 +738,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -759,7 +759,7 @@ "Name: count, Length: 9776, dtype: int64" ] }, - "execution_count": 53, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -770,7 +770,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -787,7 +787,7 @@ "Name: sqft_lot, dtype: float64" ] }, - "execution_count": 54, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -798,7 +798,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -819,7 +819,7 @@ "Name: count, Length: 116, dtype: int64" ] }, - "execution_count": 55, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -838,7 +838,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -853,7 +853,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 56, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -864,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -876,7 +876,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 57, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -887,12 +887,12 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "

" ] @@ -919,12 +919,12 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -988,7 +988,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -1008,7 +1008,7 @@ "dtype: int64" ] }, - "execution_count": 60, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -1020,7 +1020,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -1047,6 +1047,36 @@ " percentage_of_nan = (sum(df[column].isnull())/len(df[column])) * 100 \n", " print(column, percentage_of_nan)" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The 'waterfront' feature stands out as the only one containing missing values, approximately 11% of which are represented as NaNs. It's crucial to delve into this feature to address these gaps in data." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "waterfront\n", + "NO 19075\n", + "YES 146\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['waterfront'].value_counts()" + ] } ], "metadata": { From 5e3793f6c1d093497a5f9127add5c0d9515f06f1 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Thu, 25 Apr 2024 08:56:47 +0300 Subject: [PATCH 17/98] Update jointplot.png --- jointplot.png | Bin 46337 -> 46332 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/jointplot.png b/jointplot.png index a3aa3b021364ed4d868d716a195bf99abc0477e5..2332c98a743e439ba0ea9f327c340d003697a136 100644 GIT binary patch literal 46332 zcmcG$1z45cwl=(IB&53}q?D9yc|kx*VoA4jHcS(atH;YiZJHEMm z_x`T^o&WsbKIi<`?*-Rd59?Voo;l_i_kE8s4Sl5~gN;Fs0f9iUoA@yF!W6;+T|IGyN`*XB$1axVS^^ZyVcs zA}J_DpMu^IlLW@z|6H61Uw<;i<4GzdRn_&aCp07^L>8Zb2@H=;P9Y6kg)neA!mnbx zy8b_Y7+XAsq#1_Q+13}wbZk(jQ~NL_pV#5f)B{4*kkUln;@{tNGL3>Eg~mL;*8Q%JLTeHbAOp8a55an!#)Y26~7uDXTHkPr(uE=TQudAmjo zbMsrkB~?zbn20R0+x)DD2uy^EfJvKENjGFQ)7Oo#Rmh3@fu4k*52BtgN@7O%b2IM9 zUHp)cFRwv=iv*I(*CRN~YT{xc9y~`RhR~W{iWe zrTM`9yTggPH}y1OIawur0mTixH#59?qv|O4r#FzhBeZLyByX|M5DPnpoxg3iE+Fv2kG@VO}_<15izHu+Vs5FCQFs3!(b`Rvr-7GG69c-4hlKMHp zg2=XAHaZ42nGVwnlwhsrI7UwsYFY$2ArOz%##@h}1OZ=IEPIpHI5)EQo>r?LEix+O zs>jJX=Ea_xxq}5WBBbtfBay*Pr(RuMqwDP4{aKVgI)eAb{a*JiM@FZVNMuAE`}}F+oTHo?*13oy#(>7z^5Ac^ z5LVxtk#h9A!vYz{RY@%O+dV!HJ!kRpk3X?*MzW7D&eRGH2m20h&h=PFS6@ShK3GV~ zFk3F8abUrJ+wxfJjBSPOrhk5L9Y`6SS^Y4T*O6C5nj&k&&4&A(6nA`3H95a+CRBi0 zSTNLwggZ$V<7Q`(fHbl-E&8xQy=fo1eP~`*k4~L9KR7ld>@~LPx}w~2jYuu%iNJq< zPu*+oXOC8@Ik$2l==5VaI{`VQds|BCn1Y}{@MJuo^WwnAD`pg1_s2q*pU>2~=J-qm ztT%eoiB)1YgHe8d2L$&BZNgoj9~OIV$=%mL?IAP|b!qG&NLqX!~UR^P96X z>ZbKDsD*XW-C^rhEW7u)kH*UFk}vfwiLu8(t5_(%-G2LAnRcY9tFF@<5DTgVxExcE z$U3{kZ+A?+Pse;AZP=*^FnRl>50jP&b&IF{)tU=45#qOdm>wHH1?(>S2`-N2I67XK zM9X*2^6_Ko$)qZ`3zzM5+cz6OxyhI{pJmrsh|2U^L-pRcr|LM*plDM*!&zav4j$ct z;yGY`9g4_hv87AqvTor3-cCD7V5q`eITE(->x6!d_BC*&#(HX%zfuy;i#(ZK?&%!#DS&cT4`XHz&)SjH{k<3dJKIP6u?p z8EHM^bE#eqQXD9+=6?lMoY)#>Y}%Z4^%$w%e(CFWbK!V12V)wWTnP4mW_~bhD|&#E zXu^}y1NPIqkq^Vf9DHuohPM@FX+m!i@6YO>m{rYOfB z+oR7O8gs|Dzrhf2_r`)89Q%m}L8*}Hz7!LYxK3zrSdEF zI%;F9D&O)3q9Z99H*fCpE35fKM&>K1GOyB0E`E=r9S#)?)6#j9l19^-Ld<&!1cWo% zIHDsIuD$Ly2gxAjM+ROzLT-i z{85LEQ1Vec7guusBR!tuJWAn*nV23%J3NzaAI8QvI*ZO2zuFv|KpScFO7yEPbPv9? z6{;0L)N7HV8_z>R(o9z09Pbt=nQ#|&@}O|%zcadyyB3P)!VTL-?{*C&uuP+hHsa=W zT~Q-i#xW=-r+K@}_|*PXh+Iad63yUkuj$2M%k!J#5&fRzLxH=~a)OJgUL^&uMpHKG zCSPm*#c$1M8YSDzNn@7hjpP+N_AL(9tn9y!Oq_#*)}MGeuFPBB?5+EJ=i%rrk72%& z$w6mw=~5-@8b>w$jm2p4KsQODlMvCj43p)ra(x;^SqjD%xt0+x#^d+ZYw>5klp-;w zBYc&D$i4xl5G&whRA-!)4`EgKf@@(fhR`~KlvpI8MpVa3#IESC1I;daSH%2^aJ%); zgR($I^1!2MbezRzhfKoR8B-nQ6`_PbQR?+Q1cLGoH>BHm(w#7?Iu9kxSb9xg=S(As z1vzJonGnUIuSc5;qiQEf9qOOY{EBGpUi=X!S*V2C*QL3!MN}wTS~=UbDlsAf0l_85 z+}xbJy#`N9Xy^mx%jv>QrE_~}bOIQR;F8Ow%3VUGfLf<~)d0H3&#~f{55wzk=~iX?m?7nSQnu8KT=A1O>SQdvsuXukDfl<5l?NUfe`KICLB(9Hol0q|3>fM(t=#`*5B5ro|)~sH=xqI_aL`< z@?x2t^fK&>S1!(cpgWO7lg3a!!5ahnl=2{rJsfdS2M zhG?V3oyq|h8)f*RgLlY*e5#u+NS&3VO(pm@izYzV~-uq#7UnCJnbzju|$z8yZ*Q>J3GK~}xp=4e?YOwn_1P|Za3?7h zRr-1i{F|uYn`(i$Ib#7ywg3U%UGMj%F5PV0od5XEb9YsCPrh`!=Z=T*;hXIopZ8g1 zW_Kk2B05CC`-0PLXWBne-}3>9fw!XxD!}~eOiizaDlHPW%$(+IYga;rxEE;P7mHoCFhT}0oL!eB6LYC*t6d=9h) zD<8)QoSvV<7QObn&s*<(nzo>29YNR>2V>E`gj0I%RD1QC)R4AN0w#y66HD*=>!se> zmQ%Ky>(+bW48Oa#H+TE@z5z1IfLNY;lzghRuu986?!e@bK=)TnrX?wET>BKII)o6n{1+3AIi5e zYh5PI828-IPn^$Y8bIL7^+W`S_2k#WIZePI$^EBZ3Wl3$=<$$uAHsSOH2p3!uje-p zwlrGFsi>$ln>~3KFNfV%;m=k4{#e`uG!NFXo5Sx?-e#$V%HE@s0?ehf>F8xuRn;=4 z!3Cnic-L<2Qk2A_cbT_4=GeY2fEZT8s-1{Kq*pasui_!Ejy5NC?1?1NW0VTInZz&U z%H4LgSKJz<-Q8>J))REP?ryJ-TVeC{&a3Wz=kC(-^5L50#veRJycX$udV0uD;5^uj z1lW)c&$B=5+}T#HiXKklQ?UQRlG%QB$)WqpG9Z@n0fU3~Y_IQFTC9HRdvh@5cRQt7 zYe#kCD?V9f5Pg5_cZZ`e{;A=1ZH?i5`y)msrcIB}V91yxWr>vq**~=$3nyb-ZazP&WPQ}MoOv~^-l56^{Xx~AxbnybxHd}4& zxZixfTECfLz4i@0?0&0Xstc}Ddcg)at0b4DxnO5>!lK2a_?uR+O<`(bBWE(-a@0}X1e?2+fVQTW0oa4 z7i42|?l-CSng3*H^l+~dIqyx8n@xPs$H3SU}>?ULGrt^!q-&#HwtQ!%p0z)geA ziH?kTN+|@~U{g1|V~f?FQ&YjMSH-OzU@I4HFoi z1$mSHa7NIiKsU_si`5D)k7Asij06~ux-xc&W5eY}>S6MTH)^p)SlAoh`uHes@>6RFjlo5s^882kw&~&_zUP1H5 zI&%a&-~!6`Y|&mB$Mf9VUo@eT{K)eu@3HmRF50ju9EN&KBdMu}5ZEVxZXoz=^MYB- z_a1?gIxK5uTT-K#WJsUnA&%lI?3|`81C|>}O*e$_M=64GEBZIm?8@-OKX-3K%hU-d zVm+wmbwO(i$;X<%wGdZuZg;!M#`q&AL4PkBBHz-hRPn#fV*YTd@P~d!-o-FKeE5Q# zM>6Hfp9vN5P%Hn%k1V2nIq*e8EjtwvcIc8W^TIh2E>Nk&3#EuSSY!NnarxJ8wV(&J zMOnF)8?a6bBO|zsrJh&Pj9~N2s$EJ~=CIFH5-`uuSeJ1Jj6lAn`OF1x#U1&QCrP`p4o1m0B)(v*#EP@~;U)R1UNNC7u#Xg;p8 z>9_gX-xv5bA4b@nEtX}yO$#E~A|am_BC2sbOk3=U>I zJiNv+9620&ffEC61;)Z-t)RBNCv%ObXgW%D(7rjDRfOSfhrNKnk;8)IE7nrm>>Ju zwceh+co-f+NgiDQhDu#>qZ9rwrX$58Os-9Nw^KRN!5MKg#nF6%uYcY!wE_aBJd%vG zl#(mY+vQ2Z&)5WF&?lE~`#D!$6S?rbCFc~P%bDfnanx?{e%n6fcYp2|jZML~97JKq zOp*CA@8iq7BLf+_v^}O2<(f0pZ`s8tVA^9;uP_s~191UMu-UWho?Mhbl98*rIP?^B z-%yNH6H4!KZ#kxFI&a=*D~$X;)9l6nzTNOn*}%XcT}Do7Tm_0kQ)h&v-9#Ql&%)q> zl+OZ86iY@Gm@9mrPLG6IM8Vr4r0r^&UOZ~v_rbCEyPk907$iG6J4=XUNql~OdP+0?Zzyq4_m8^xse$@u_V@);t#_vf9wHtG?Pz)S1ff#6Sg4nh zk5Yn(2T(#1qPpkdH_klc5DLx|^C1_%zZ^O2q`CVx_7`oAR!$K{O&JCs&}>zmB6V^L zv1U_64lG!I1SQ+gdrq;K z`MfiZUGwSdI^APq#0c;i?ms@ex*YL~dS*Vn45ntE8!Ra$C67x{tIA6*)_t7XdYPKU zbov{J7s%y~PoTLgf8t@}C+m43yeWCH@0;YccE7BQV6PF|;O;I#0NyAkP>^#T@58q# z7+yKpz=!In^kampg;;#&RTV@CL>3;AV8f4j!@XdgrwXPG88Be_pARk zN&NrcUHgAmoB#U){(ob%pM#i`0Osu!Ub<9radXQlEPMcPDGR`WmoIR_L8Si@SRCUn z#>M4tUDixo=6hOvIQkb(c5yN0?d`3Fwe|nT0~V_%Gb6slAPU!QW_TSf=`_08c3-Ho zeo$wPzZb#}9b7*Etr0Wmb8IU8mAK`51EYb3Jt=L|Sv(?kadkBUfb8OGs#TxM_k3>w z9W~%m95m%h$p+T1qYZ>|km$%!ao;<>gh1Tq9nlt#5^9%|%`@7A#czymwp;I>ECQ^Z z*p)btb$xa9HwD__vjY}#83Fdj_-I!j>~I<0VTLFe-F2n-^)r#{ol1|RJ|^@31P8EB zoSvK*4kWOlEX_5&eKwpXIGzO}D8OKoqg}rN80`iq7qjIY;9ZlU6kcp{_-87n06U2t z#Y8U`7G!kjxi5SGvLXzQHxH}Je6VYme7)#{rQz}H^x-=I~y@^yn2{9QzIz`tjl?MpqBC%cmm&Kr#CRP-yDG){&}u1-JhHS^lJ+Togi= z(>=_C0^&0#wQ_E5UjPWNUy6Q!tVj$JJXmjx{+k$4)RhOEs9?pv#}jx^xOI@3UOsJ#`&W6QH;s}Zb(%d0zkoo_7BHS z;7BD&ILY;Z7U)0IqZ98-n*C8DKZd0JeUm!09nEg~9dTLEiY&&1g?E-1z;k!T5CShQ z=Fo|H=1iw;2=^yLG1h$SoqDx4y&D;?yVS@cq|^Ygn4TXG12AJ)Oi2n8m%^ z{W+<9E)gGM1-|9M9203L1Gjw)8+kuKWxc8f(3v`jDDcp(+uY*Z&Nk;r9BFX}C*Ewb z;ipgQx<$fYRFMM1$w9H?%0ST&3EyzGeg#Dls}0(FM>6&a4)``Js8oFAm40}pGX50yUF!ASZ58`>_G--NmIQ|-YUp+niUMHf`LMj}44i9(i zeNEEv`+=bxpPM@*fX7BB*Mcwj?j#e;|t;^6mU zO8M_}Olg>kumMC4263Q@VQBMsmw5c2Jtw4n7){psClm|$f)0N`az^HMf3LhY_jGb< zh*dWjV*-}j24jvkd^V2*((6OvxvLP1K12AeP_O}&eYVtI5#}u`ySuy72TMtXlL|W% zsFaY4!Kz%hUt?iouisM&IAo3eMVBLO#g$<%BXv4)Ag08g7+$F$rOsb}yzAtX)-f|Y zpX#N(38i78OUWe95TFuv!)k7BKJaX=+bSw{0A$7JyAbHS|8%`)uo6{8si0EAzYECZ(qC;hoYAC@(LsIBay^f5AyQ zc>jBQyZAUH)S~>m>qd*wxDx=RZ+=LHV*t)%u1|GD5#IgHs1x<3+u#OeuMQR!oB6jx z^st}>$X79M+mxA5lJk46x7FA|o>1e)h8djw0%76FwR71NX4#a^rV4O7Y)^r&Ne|jD zs+7-Dh3gfbo}T2Qg#V<6Vpn6)t79@W-5}?BcrvaGI|m>NFH{Q7$^MlL85%+J|_FuWN|{s<#@g0 z%KsVFKEIt11fGf*b(~OyAvxhsep@~M|4xI((pFVL&Qxyh-$Ppqr9TO3mV6cmK&wLX zxqm&pSpI+PmS9V#ZDKZkxI2>VZ*NBjg06-Ak%S7yb~2&#bDcN}z={Ci<*^8qa*l?_ zaXGSoBH6so;=)ly|3i<4VS4%^8aU}<$jj|Rs?C37n`G*j!L3jSMWIs65Q>g?>MR*dR7J?by5toGYpRTd$QP9qE%6!fF^G&T3xR z%3eBChXtsQ=u$6>4F>2GSTlf?3CLhbrr+9W;yb54tpCl0h99R({P>Xjxa~O(&|K`a=T}sZYSWd=J9D`$E~m9>N?PN)Urhaib#W zt%s}f5Eumo-$kwyXs+8BVIM7(AGn^GzsHDzw+=iTYpnG_?SDXmP6LN&q2q#iqy<6jYQ*em@TZGasj;x2#A5lu|L6y0CvdZ@>g4K zyr1=%6|0LHkPu3bzyEo*U|fJ9{-<$L@K1~l{TJTNmGdvWdt`&bim*3yyteh$R@ZB{ z8ZLDF9xp(E7+iFa9OTm6T1=wKNL79MQuH2Y{u=_DJ~oJ(_zei-gtEU-0R^h^;DvL} zolU8q5>faCjr%PWe_-7~5dR}WjCM{eh=h&~Ma#hlj=_x!fcQWCn+S`YAF_IB_&}$| zrX7yE_**ZBENpGNTYRp+`QCaqo&1omJM5w064K5TqX%LUki1qLNc|xNrJ)vk6UDjw z!olM<{dycSy-cGsi<58*jRGVI6pu8z?Xq6BOl?a)B`$vZ3M7$LM1?(zi{9@RzpuO! z4lT-L%{Goo*aDhRaI@EWg7V-55ItL3inBHLX$WiLM$i~I&NFL5Tw8u(0UQxDj`DMJGXS__EonYA1=-v2K!wE zLvKqhc*5M9U{r979i{AdH9p>x|4;1SzNY`!=@mp^gJLTvfeX-~jT=Ah-g8K*!w zv*-JF^q}Bi$Fm)+n=zVOm5J8PvpM@-xG>msR$Z3P<@PUlT`5RON}b5zJY0NpTV zN1?Yz3{h0Vs1VH>8?uIm22ha|Mb!xsa-aQ1;QBU+z6SybZ3$ub)4gIr4gzWS&SyI_ zMZKUIwts2H6KJLZqF!g8yzhS(WcGM19#a=C!H4Ai>o1xPIPt#l7Au?s(mpbx|9f#M zDd$M4X3Ojq_*7n|>3bha!)^5OQtQ=L@xWfqlg-P`%w8}t_SPGxI$d_~BXadC_af2n zlB7iahFfmsqgW{KseUVNntzwYCygfC?MdGB9)U z230l>mhN_!UZ|-N01B|^{oaHW^==vG4pOd(g(G_MF}Ho*0~T2aOgAsu)(H5g`uJ@< zLLjm%uKCNT#qcR8bh%b}R6l-;j4tdsF8QfZU!OF!ts?4=KXc}Ro#5Ob;MCn+Z95)z zlfa;5o%n8l~^}0;u>6|_ZAV`3u%wEHG=?o<%-Vi--OvWro4@8mv zg0MsVb0CO7v5Oi0ynJ4lps=6wav-6eUL#?(;_;X&L%P83QY+0|jcq_t(R8cdeO0-L z&*GdH$UzDqquMc5B@x7qXcU_uw922awXqzj1c@4uCBYw|<9UhtVJj;}fM>4! zkmrDFOScLT>s~6I2e?r47GlaxWfB(ZFx8V|=_r{}T$L!7RhOeRxu*s#BKP;97H)%6 z4au)0gGWke?J(Y8At+YkKc(i`97Iiq!Hwedew7?x^PqK4&2 zOu2e*sb#)5BGs%kQ=Ac(VqntXclKa@4|Ft;o96M-yKG1XfQ5puCW;X!MU=b&QS4%# zT*2t^t9;yp`jUNqud2t6gXo~uoU|h0;Kl{JdB6KxXD;HL$9Z*jJ#e9I@~M)0TewAk z+d}ji|5thUy`&iRo~{%n@ktjRkOMzm;!XGc%)JpSXcqWqV!8AhcJ=GTA_r|ql_G>W z-OtZFVy(8!tm`Se(^CPy}e?MrOF^j}JW(Ur^R_(`2I2IZa0y!g?Yv z8e6Z0cV;Tl5)FI>Q&LkgeecZu&de*h1#&**r+DURZ<%dDNuc{CFE*^3NnR~&8jFeJ zRDFZ`y+$W;c3JChaNTCTmy~V?sV6J)Pfx)L9fvlLL@$-BV-^xL_!E~Ee;yeDJ8toQ zcN6H2?VIePsa)9n&H8CFwInIHXj+;X{^3Yuv?I1rKZAx!M#J1I zH@GrOFvYQAzi41xuUj5lN?xv1-;yrlMGr1I(}{PYZFIgQ|6r_`czr{1=U;Kaoub?a zIk`Rqpa*lyjC?{_78)_9unpVNsGt5dM53SeRN^&0dsIR5+$3 z8*R;g`1VoCJ>`(V?a35*~ANiwXCO`!~b;hQR$^ETf5k?+Q&w3$1%NPWTG?IFo0c`4tdt71Rvr^k<(Q z{X_UJY#{Rzr_I#XCgG*IdLSq`Zc8gt>bZO@!E-ODUGxkKNki9By6>C=_|P}p$th^k zRijnBjU{WcAr(Hpz>1-^L+c~10~15@-z)`zwD|g~LGu1>VA@%J%6@dQ{)GtckRJ&B zzNmhQH34b?&0#(UMrOT8^mXsKwR>nW5|Mqo8XZ)5Y zC-W6=+T^dn^Ij;&-}9AseFvqytIWK`(lGGhh5V6VW-879xGDfGWW@GBzD9R9mmy^n zPX6=wLww9TITZ*jI|uiRj_cJeio)2M+qIHezPQ`xS^ZSaeU?e1AqrorCCbN2aB-Qv zafcfs0Wy#f!^@*}%@%J#eb3){-jq6oqpC5fEEgBIXq?G|S8Yj@CqHDI!;hzqUBr;s2~kqzQ^XYY+;#JOh{+Zd`Xq5sJ1-mmC<*Wf0S^N zPagFdo{+eAoO@z+>w(WmCKX?fu(9LV1kw(9X~Tp+k2}N@&rLJmQbaKfxV_5UC8wfR zmXtaL)wC7~&^fJ!43ay~`6*tC#1$%ylAc7G-@S&+2nZ4gqg(DU@Ry9!XA4EPJ`z&u zn7!$ppQi>h4oPu)34NtH$lB| zxGMAxg;8Ig7u6q-aNI&0*Ip0!Ol)&O!~g!MC-lqnH|#f_$(XHikNFGEp=G^mfz7AS z1w}FfLpDGKY>pOVW8lVG$G%J7kgoyVoQ@TDA$<(rqrjwU1{1zmvYE~3-ndU1L-_1? z&}eyA_4lHVX~kv_*xXlYJ*f*Hi$+U2Qo%Pl`;Ag!htoN>v$Nz} zgxtWZbIc`+SBJ7 zQA{&H8uDNbh_S!`k~J7rqVALTo_nJV+Wi7Bskb|!Fx^9ZZM*#L|A6<*pZ|EZTmMEW znukl#zc(r}XQr6e1Rdlzf-Hvwc;E8W@t{OgQFPPj)wXP`_4R34D`mFM-?E*;On3ULgpT~&VIvhqa6j1 zF%bb)fxHolymxn|K=;m`n{&?Of`@$bqlSz|vd{#fVF5hISyv&{?t!g9tQ2#0=Qq8& z;10Q}%Y}o6pJ9!CMJ(UlD+m)P447kH2xQa8C$m00Z%{|R+0$BRFtClO7=J9wbY4w5 zadd;H;tDtpq~&nZ%Gw^HUmMo$fd9^wPbbO4Yc_g+;Cx>|Z_Ezy0fSZkprf2_h)O1%L}3;VZg_*{yDExdl1cG&j^F3bY@& zkQHbF0vaVaF?pI&S|3!Bpj~gJgZYiU3|HqF?gU!m7W0VQ?x68&#f7o@SCov9=pqS! z;~_p%>kvW+B4Pur13Tf!5~KUdc>_-xwLAz(Hm)+{@9$>Br%H+^0?y3b`$~n35b4K$ zR&`Htk4TqPJ54-&KIv%?UOx5&^e`mKsHAR4+jKYydtVFm-Ik;8j+A5>ff;xXjfC)$ zS@C*DlNn?uQyl_zNIpcj$aqL#Cg@EP;!8eubC8{WYWpaoUjhQkuEVSz>&h)iyyPEU za~-;>w-bW~Eaf636`9JD_k1NZ7ppd@H+ZR^S zi()@=sN%im<;6uUugn`RkEEPQ3CiZ0FK%==*y_tt-A|T>GbyD6O81ZlPf8Y}6vRdvp$N=4mLy4dah*C!N>Ljj zA_=3~^zGK!~x!-V~EAjE*w7D+-0 znZp2AV5xx=eDK$EZ?K*A zC$kDMT*g^{5_epc*=hGBEalRE8nyOR5IkjVDbb#UWwSDDcDy7DcxaEB;9(SBsOYxV3y{2wTmgbU#-v1mVw|L}|jW$39+c#2j{g1uRC@tEbA zHm{H*gshWw(dNj);>_wXuTXMCD0u2PorDK8JSg4SO>1JbV$m<_-9XN%@2M(u!`3Tm1Z6mwEq8Z@`se-@?fR$g=$Ti%z^Kpx@2LND_`dL0bwH#rvlP zWe=Dl^}`89=AD22hdfQ(fEy2odV@Z(-}kJop;U6FPR@hdeLor?0+e~LKN;xRS!||o zUwms0l2^yld+!rlznO7-ALq??@f6SW+s?b_r@s{t5(%v`>c}kw2R(@VoJ=k;w>?B6 zHTxwbN7`^-R}Rcyt4Z>I98Nm$!bsIhuzgp!MsAoQ`@1g|HL3pLdMU<~85AMHM)&aI z=)apGyZVGZ~m}E7RN>%W8nsl1dO_CZD(c zIC0Br>Y(d)n?I7r`V)gt00zM*v0ECH0ktDGdI4G&IVo3mgn_t*I1Lb&sj_cKp( z=gOW42duq8GvMvs#O$MME%-JHRyo?~XgT(F0yTAc3sICfuSwp$|` zAwTZndYgLoIe-`#FM|Rl7)>9=@O=Y^2vq44M&iTD8efi$RDv-Qo{#h|@SRuNC0*WW ztHC?843s z!>aq&I}!*wSNMnL|B~Ue)_e>K1RRa4Q`!lf`yxNbHg~sGlE3 z`%&^QxDZ@jU2zHuh5`Gn@a*Uh#lHDg}BcAZ8&xuo4{-2)BZ2E zf#0fesxHza6Ps&yI_$%~kM>fc7(Z7$lVyj3lSs=qZyHwp>)>J5uF)*r1$%Pw8SOT% z?%aiw)R}U_ugfQ-1_d-M3w&a=?~h}C914oA@lT0AF-dv_RXK1MQM>=@>8Kr|kMmTY zNlPKadJ5DF+*}@eOf@ck$j+uk4tTyZU5+c0{rDiZ!GoG2LkXzChX%>yi(%E&{cM?%a%ATk_>SQRyDAl6> zvhQB`%sNIfL#igEdH#Y<8W#SECUcw^q5e(_s1u{l7FF`w*-2(D^$~ch zaO}!r(^9Nq?xTHCS6mA6Y!>ZFDKSac!z&Z)yz31%Os+^p@4Yu29?#hb7gB(Hu@NsL z;0)*&dZgj;t$qlPmfhpiV}NLoby-JPgFCpn>Y5^+#6J-gO2EdfWX@2uo3FcjyVhW1 zUXk8;oO)Q9-t;Vp`FDk$a=pIBc;D&w3h@^Oy#+soUJnZhc9IFF;5{oyfrFcZS+Y>i zp(J$LSEXJmc8z}YI8)vr=-^xC8g6E$BLd%o@es|ftG#B&TTgg+ddx)=rY_8=RP|-T zY1xLCW?k~@$ZhZ3yJ6r9qi_3-4jYL;x-eAe%o*J1Cj(m5DY zt)^j4&Hj?1JW7$>4xS=G{-MZ9(Y+2iY-e7*iFV}tl${r(n zl+?^rCt}8}f$6Xof-@@rAS^MWRWsxtb0A@;zsLyWnjIVQLy0km1^yV6K*fWAIJ!!67W|y z+e*SKlb1HHthI?nRnJVCZ^}h;zgv6M;Yg*QXe?SYAH#_8aTpyrbsj~g17xiYpQgO< zibKl|e7Nv^7YCUK`aE?hvfQG9q1;(}E!|JN%z+VWX+PAe*H5Mzrb@-e{QstrsMQcN zPbt=S7aIx0N=ot@rgUhVg?;XKQ(K&02vhHQXQZ4`;UqkwN`{o$s3X6(ZNhKcbM%@+ zUE1GLyYZL8_{*GxT2FbQR2{jL&~^vJ!z$Mvy}g3NDt~a1Z<)YgskD`&%T5F*Tq#A5 z()%8ZPmcT`Lr{b|Tt`wYJ1I6lUP~CEdq9N&Ni15sXNJ%{Xnu1!2o7ca3ssUFA)WMd z9S_WBJ@DcQ#Q(r+9QkSppJB|qldNFY5l}%are|amZfarzgwG|*ykBuZKq(MfFx|A4 zOV$BgXNxY=3Ff#x5}@l-a9fqi>fY_3F{mwFYvFUR?ZAC!7vdeKaQ!CS4xJPcMNXTo zIeyXo78L@=zrAlHgJYV@0Br>mpuIm%n?Fi6(zcG0R8T}^nF&A)PaH|B;rwNBlr>Y_ zUc!HWy=*us{UcD0hvtoph&1LZTZvv@ZQ>-zrc=_QO!DWEM6E1}(r2>wB zL_Cih24j}(uMP9|(Rt45_+DHkFe$RxNy*fU59kXTFI?i@H(g^W&;6y}kD^a{% zAPpjFt>zyc{mW{`Jd7C4OsN{A$uT7l-A>hezD*!mqF)s#lfG$W!BJ%R+@nTm{x`dh zku6%YWidgdk0EpucOeyTxNY$6;3JnebuU(&pqe&MBkWFDAdgg}iZ?C`C&yy?_(Kt$ zHj5df$&P3szc3uJe<&&95A`!wU^KQ&s*#~Tx;OEf$4&Z{?q_aqgsb%Hv8xV3t5**( z>Px$7&g(bKTZ67-&I=M%czQoWHxSL!{&>Ma-DX7*Q#OCgqS)3fMpq=31&O#R=(U?G z6LvI&Qh=lp}KR3fZ!>pJt9mk+U}c> z#t!^3iLZV45Sg0=Nlp|brHXBgRd*x$q;$~&p_uU$sXm45{MS5qndF&18_czFoEl7- zqu5>JFJ_W+b!k0i;wT6lo8J_cHWzx+dhR(2YKavy&J?+mxaQQ;O+zZpK&*QHWy8*pqjrvyXd9ZTh;_&huUV#EiSF@Z8I@TRj2znMJp^dpb5!` zO{G6|t>HEAWkTjb!3{gLgbwjt@E8rPRr6|i3?H*$^^d%siR>K*Nel*;CtPmUYK{2V zYKGj&&wB!5yXrDzwg!I^*wi$9AsBkB1e{ajmPI@BbgBM9Ku+e=a>c~1!^pRvtFMW4 zYZ{uDz0goQR9ly*r)E~A+sq$Ru`Ecjn$X#5-YfooO-y`HKQ^;Ew6wAO3b{~0CFu1@ zof;VdS}+EMi_q`E=D*Vbw2+0W1WHAtTMhn_P2pu{BdyBXWnU*YtSsi449yNJ(=29C zd9!97wKIET$58R%*PczBqICJ)_G=>2d68#M(Y)t1vv0hDqm>`y7&sR=cpi@4eb@PtAHPOG{!q05chV>` z46%+UZ%4Jj5(6ASH4*~a*5zaA>)SU92#=?32-I9vlDXNiAixR=F;tnoH4)Y9PuQU> zvJvS|GX+ba{in#+@Z1MDYf;jNU6xO0nuOkcS|QpVvO&M0SPhFHn9#E;TpKkcO)1Li zGZ|u_B9BnlWu2L&csEr-7d!arHa+GIs(!7|lgx`UP>ckpwRKiLXtSvc7N_-Ni#t8g zZQ+B#28X*|-_#~agb2~Cc z3AIn}bM>5@x))d$o+gdS{Wg34KK6L|F5BB=_$3hLarS6fFET8{ZX(DyC7CS&F+IX*z4?quYvixW7WMS#@5P4h-5E+ITT}r9cSHi>D9Q$`n)hV zq!WWpnyP6!3c?P-+JxB$9EHlUBb?Mt#8L%$_B_=pa`ybJRJ}qyTuLU zF&cyfNZYg9IgKrm%B!kBo4hf9`E}pa!Gcp)Rph2^(OEW8IDL}Q7G31q`TW;N-l^-~ z@N@7!P>0!Y*c7!m%c=0LW4#-))!BP{jF@|*M_w-SM#AqqJL3-O)zy5OtQR?7`1*T_vV&)#zY?(gPOqbv71;eDzrQS zyX3Lhc0Hgf>fJ?uRWP|JMg2^U)XuZgCy_c<6rr|0!6g;}(zHfyIiX~zLc5!1x0^q& zg8!==hXfReuj3o3t@DANp_*}+ll_acI$h!S5wsus_e2JgCjHccBzl-_Wk9j>Ur_b0 zR@Rc0GD9Sxjp|u5CO!txiT-Co7|TDtHZUey5rs7J=om1jmK3igh=RHHe%ijXrswe15>iCiiMA7} zKT%r74kkHJer`o%NK&f_ z$tO2&aVf0|{lfCDT$6n6b%MB4-t2m%)d&YeN}sNKX{O>+$0G2*yA&16{-}{M5jS8s zcdZwIq&Darjr!-x`{9W}y#9>Kcx*e=U3w>_Hx zFoL`;QOaweZhL8`%bI_7L!w4l_p^iHR~JgXRuut>@pSyIb#*oWJGN$o9UAn%Q&Syj zLQdUzEYqqhgY}qkdA$>BAv+^aVnkJ$f~#Nh=n&7gj|`?-fwWT56KR#BdexS1g4Z%@ zCa)@>-a66q6)`qx5mr|Ug)=5<`MHHJ+do{k8jxo=28XjC-(BaeyuWs=_*qroNEGyq zI&R98Xw{2{NIwyyY@jHQ8yQ0=3MXi7c(<~5y=Mv(%`D|+3orj=pNg}9KyyQly{ni} z0h{yV3p{>SB?hWqI_@fI3%OKWi{6%u6EY2{Q$)hK5gB-FdOo(`7{5#B;HH8bT$fL< zDG=9G-_h-BUy*B4s^D#NIisZMPV{rd0$dwp0Yup0C7E@%6D0AsgqJ|=CVe(YO%~J^ za2@P0VEP0BvMG5;RxtG8+v-l*Q(h|SjKF-&KD{1f_3kZ2Q=(iQx%7Ny0XQ(LcWe;S z77-H_Z;|Le6m@YBxc720UtVWXGhYW+q=}`L9Q8ic#IsM^byuBN1|>x=v^ZHxLGf$~ zQHAx*oCa!n#X@jg?jd(;cY}VZ&3U}bMhkATFJI1V-EVl^;@tf)O5m#J-4)f8zvwMY zfae6U<>qYQB|9?`0oS05TYhrn!0!iF=4pH+Gj+!Bb8{MBcmGU-ov^pRh7nF7{ufnm z0TtC3_6sA5B8Z}tNGM3BbW17?N+Uy;)W8fKQUXd#OG$TkhafSMN)8M;gmi=Sx5xi` z?|Z+sT&!VqEzg;=XYc3v)x)8EDsNVl50SL2x&!iJiiz}#Jtv5Z_z^M-x(+HKov9I= z@f>q$eO4%^lyCNRkM|lJpc&K`l&Y~lJM@^;B#SX`6T7{}+%3IN&^Op^?H4XX>SW%FNEG4aWN1G zY{BUB3uvc0XY(l&`V5XplA%NuHtSd`Ti9Th+8l zQ%}Y2>sfQtpH6(vg-{+tJmwn@jtK%B3Oj6d1`B=(g4cMhWQy{G zUnduj<*DyMC|9#fO&ncWLE97bwGc6M`4H>gjco4MlHntJQTd~PL(rH-CEHp@252u? zrqbu}gFxqmCcM ztM(vl=J-eRt2$E9kvp2*Il}OM#1kLTYX(3ubjiClE^+|xMsbMU;!o+7(0qY*xppwI ze$AL*ru1W^_whJ|?)Kvc8*XG(X3UF9a?r~*L6zfZi^vUV^2@hOWR^aI8Cb#9Tw^_m zEUn@q41<+R2q1uk*5jdGmSO|NT*7~>R#o6>a4dxTeWZv3M_5+pFRv({?HvIONGm8z z+2!ZBaB;art*szXQH%`V`)a`5dTb$})~M^)B3B|?I$HFlk@`e^!?9wNee`46r9s09 zRbd#9%F@>n)#3&Svuk#camd9(isQ6tOle+#$I^nsT<#Kt6j9UbX_6sSwjdmOx?|$J z8j(jJ6GM(s4Y9rY3xU^Ybiu@KGzdKRM3rjVsnu2VEPp$wHeMWkPnp+a`uMBd{Gr>u zyw~Vqf~pHgXy0TmGY!k<=~}f)oB;Oit|}TcC8DIqEl}8$JB{tf$21;~EsFOTy8i85q?9#d zn$8wgv3la~pj*qrIyc8lIotH4e|$}PTS@j6AIrN=YdFe-EvZsiC$!)%Dje=Cwh$0e z@n@6*5fLXTTJGx5z4~7ES7}?^7CdnFSTG~qB+4ryI=l}-;=X!cREyXqR~ZY?vxCZX zgojOv7I!)HXKpLMO;1RyBmz+WSkA@oF}u?p!`9rJN!HF6r84Rz^%rhiJ~YdfkhjE^ zo{-atXgz7qU(q&F0v6`Sooj58EqDbRy5%izER|N01ILy4Ca1U^36(>GiAeG-g4@^D z4#!-|Zx=7FpeUkR{Bkd^iwf1=phQU(S6wSKg=gtafrKE}f{Vj&`iAn2TpL6-vsTJX zqe{aM1a;kYF$DJas%pW@5?U0M!>6cirJYG5^Zft|OV1N~w^8#C(!6Go?hzK~Pxb5w zWa`T9nJB8JZ*nm;B-^juC9aOBcd8l7`-d49X=_CI_HzE3BI0dF+8~%2Ka{W695v7C zq1-R}H}h*9KRkD*w;U_rW>AUMwo@eok0De<=cYpIHZGx@r2=@_a63YatAY8J#w&!S zN<$eR4h{k3^IF}ag7dFu!adY=AIu5$JZ=g)lRTBJ0tQS8fd8c5a6? zOqHNUEYe`YqM~=Jq<-JhQ4O{V@n5BJ6)97crnPJDr&p{^6x6JkeX~`k4s5JVRy;5F zTUy4+Kh`oTs{`!SZMPzspX}liYDoSgmxLW?(*3@1E&Lw!ibz55i_KJL<}95Soove1 zRNXq7@|gY1zKw6!9bk=KoU<7Ka(b+ko$*4K@VVLV!gaT@Eer$4Gs@MeinoeyN3eK& z^!_`8tU^|bA2jhD-oAXJSu^jSNjxUA+^9Mo!$41w5Ti)?uJ14!+gGcsh)x%)c|CoqY(hk{bF7WMg1ID;m=~ zKJA;)7Tb6Que$X=(w7kiJj_kzvu}@yl2w<(ItoDDO^a2-{!rr}n9ucwA#xjt_QEx~ zd!J%&INJQN-Fs$`OC`DOzX&VPnMQ_XLshmI9E;>El)13qVthR-_yu`gum)%X)d`zGm@9q1lR^I~5fI^z%e&^yEbK>wNOp;+FrLe<|IOKq+&*M-Wr45o{Hk%!W_?KxPW zQD%l0j88~m8G2_wO;j>IuB>5vHrD>@+bv9CG?bIsp?+T($BU!J=$Jj4ZR@>(3M{3C z|EGu2_*`UC2{TWn$o)f5vIpzsI$bolFaPhLzNE{R~Lz`5MErK#6EOyw%M#q`HDfsFzq{)xFu z6@qP6Sz&S9mS~$gY9`h5@fE=fM?RSm#2Df7Qv6eqpY zIBhg*AU3~8baw_Q!oMi#(PIk*F%SFDgnYPZyeUr60T|Y8uMw^0wcl|BlzWGn(LK`t zytf$Y&%bO3WZPgKEJoyiG+{WG{+3<2Az4R?V%%d*OHJRTRGmfyB7 zCk|r$R&0zo)}UQ!C>?KnCtz4vAwstPth6v{EeLPt~1G>WK`Y=uD4`J>09c-4QH_(MY)WN)Ql=~xyCP(P}u3H(}5Op2QVxHiHp*H-&>`;#3rZuN363;SK6)Wv%K zHVPp4i+lYZ8|ayFsHV3lZfo6YmRrNFZ~}RMT_L`AR-dm$uMW*R@wRzBz`A9Wjib@k zFF>WwG+h@eg!JH;rYIRd&zJ%q4I<3hUs6o~&*Dq*;7QD+IAQmdAECjMuvp5vLy)|9 znkq=2C^%+qK=SERrb2HzoHfOf^RbgPM@qUy{w$+z^T;lWS#5N zek#I+CU)#5#-P5tmSrutzRnNlTwSpDxbKED`_@B^=8(buq4l=!bSO{0F71z)_Q)P= z;exQpFW;aZ_!3iu;4*&BSD7m9Pjj?3L{4Q zO>nbIS$2zsk4k?NQ|4+@3q?Hdj2Y&^h9*Q`etGdBLv-v@R0)mZ`t3(+9Wu-X6oR6} z6_0WpjX`bnEH3ft=I^S!?p2RoH5Pr&=XV=U2n%gz=~Sd}QLrAWdf+es0`1yLF3dMQ z)pb^PHHw{}0g2N|JUKe%uhCtrv8v|aUFqcVy#Td8WTy5>Q8S~yn06WUy=i$}P$eRM zd^XlJk|LOaD>3D&xdxH#7xf;<3KyP6(B(9`KajV8Y+Fw?HM()2?wfF& zYD!1+kxCbgGbQm$;|#tf!~Ot&$+GNo5p}+?el^^p7}tM7I1;uUWO9U-8p_Fu3-}O6 z*FTadst&N_`sJxcpeK80E7_^uLzhFg91&_$@wiY9a{1*lqBMI z>M>@a%g+d-hdhMw(uj%1=Mp}+4_TRLvob0gI}Y&TU@(3FGQJ_!dHU#!$YS@8|JsCq zxPMTjGZ&AtpILX3vH~%^0ys`?u67`E>Rv>IE2(&X5i}Zm4PCS9iioqDtoUjDb))Y% zUT+#HYJbJSs?SN1fP#x_@^e1Qd*HqM@h?yag!NE+-Ye27DSW(oV8YxC;s&U(2ef2>x5{-%Afjw zHmlwgX3mFCH{yHubeqGI$v0t1OBBVnD5oS*xc*KEnmbp>E&=YD!G@KR7OUqU6CU$+ zfJ@TFG1Zm|a0kB@n252U&V^Lc+crf83?bmQCUr*@!%~Q(o)xH)IOXwJToI!8bc7Al zs;?oB899GgTsSPd+Dz7R`%)G8PXZN|V&hF53PrF1zpRV5eH8c{3(40O?kys} z)Syb3&69sxC;5jNFM`g5L4~iEUIAg78CyxOu=*TvVf!2GUqF!6^GzjmB5;fK<0O)- zpPFVg>3TPl1;g{aOo(H0*I#c|h|kVXf&DXZPusUqU7x012S2_1Ba5;7?e4z70(IJ^u}%@ex! zt^%kB10~jKFTa@msuhE}hoUIHij{V8x+X8yAN4I;{MdxuxkHz5Vyl=MGvXv!7ZaYW zvd1OaFj1^JHca(~i&8#L|JXUnR#UOUa%Q=-B$Fv38`t=VMsZ~$wtthu$nX1`N9UDC z^5?gu1fM3lTU50m!hu$LvZ9heja&Da&?^|!;gu=2Ms0YJC^~c(Xn|0P z?bdTBRy&A~)7icB+-|tD<38lME}l+b4ET;K;Cm72Wc&j#P+mcys z#ieEKwp!y|o@A!fC!wnBEd&8M{8ViAdnT5Kgd&v)HN#Kh*TN1q4dwzHZQBZVmt^IK z_nNS+EC>t>vreB+7&6xdJmkj#DGdN%uc{5G;ARqt(V-;UMYL#a!5Wt+0>q#|-<`@% z4R~qde*U{yuo)Tdlpi342hl(6=CnfZyI605XngLOlGJiBSiPajp0xPp*8U8lkECtI z+am2!XKa?v*|2CT4{v$v+DEt&2I{co93Fj zk^uIdLwUenwD+-=RIAmig(z_|dGlh6n1)n)i{twAEBs#ijofTA)BU{DPOBahq||gx-x9~yE|{LjyPS2u z+CwG2&}Iu$#&2R`2mBW{{4S(kRLbW2h*vOzc;=r&XJInS@#~wgKKhNgO_&Hh=Smms z82O+qx1A7x7(jh}1t<^gUz@U}Z@e3~CX?RjFkPQ1HfDD-QV66%R*$|rJjo?|6IURV z8UQtVks{H)%JP+}c!B}fXuUTLB7)tSqOhqkX3e7KwKSv__w(_oa85P`c;OBT&RS(W z2>z|O+VMHZ(qK`41R0yAJXOK+dAUT(uNpArjky*vq@9(?M2(0a1t44@U#5mCw1~NS zhEcbu+WuLJAvdczo{8x6O*G>gtMlXEyN9k$s~V{r-Idc8yio-QoLBoogm6em_We2 z+F$ClY)gpw=xb~3D&5PADP^^aIGsCWHxoC}Tvc`&jt^!6d}-bc12JFnGdRZRj^UQ* z_4hfyiwmt#9KGGFz%U$BhT{^+*r_vPPs7M90~4BcQk3xV#P zXU_CzFQ-KLW&inORufwggd#Q(- zI2hTeh_-H({Iti%_j?WLOd(^W?KvGAy28>MqucPIZISVCuG*?Mt{vvs5EQfZr zT_nY~*y$OQNXIFx5ndc>5q_}Iz2a7%avRP8E+`^d~|9el%^0kSfz;P>c-TXK>1zcS~rr^Jl6Y9ZVe|m@ci`{9Ye}D6oh* zzuh6|;=N)K1Jcdnze&`-EFjSHz~1$&?)pWVE*b5yCGsvo7;s5a#~pF3)g;)0@RxX< z#~gy$Ebmzz;}f&^*wYsms_9MZF0Vl)b9W~H?}{y+4P$)E!O@`R_r!z_87qRfw+ly^ zcxt!&sg<|GXTdT0#Rf}{(vqr`;`L8L`k_zE#q@>J9~b=FSZ$d5S$-bX6K@R9Lc$}k zvw5(C2yqmR?VB1Oh@(8A-Fq!t>-$vKC;xE>ly^QA`&-v3c8!0-g8DeGH9$c~O)k)S zF5}Pgjd`$>rA@CceX&Y1=>BRgnD|>6G=IQ=bEi@sbAYPI@g^TOXadC(Sh>%D>CVKl z7HI~}%bw8cRUVX~U;ptQV8Zzld`Al4X?4g`RoJRhdpkS5eZ zmf<(fWlc{>Y8F>|Pje9+Ax%!;3u|0)!3BU^>D_4 zTAll!VfTwY0`;an7CU=Ri%3VcU2loX{6@h+`3`f{Fji)juvF1itnzDHrn%;7wMX98 zY!R21(x(%Tj0TtzbFnJ8R7Y7es}Z(iJ^3r{1-wk$absLT`IsZj}U7;Wz^ed3DEqq;sTwPxlQa+lJfDb52sSwp!EJja5j%1by&5InIuiGxR;Th zljFQ1Q3&EB|6Mb1LRD{4JB+YFSl(i7NHG-GQzAF|Y$2aSqj9p2>)FL_Y$gb1*(s_n zxEy`?@hV4f5W)5i$usnmIYf`9f%O-)cFJSzMhZ{Vx=I7jUI^O6sv)3{dg9lTWR)yX z;{wPDCtR3MQ?h+0Xd-9O`ewfe<$cJ52GAAjy_%`Wjxc@x3w+#wqVU>UbkcI=HTPuF zRkUaIzw*+@$IBOsSNuO_g>l&$Zz&p|ZyJc(E5k4n%uSh&{m?-uB{&g?2|t+$h!PM~!~()p{~A zY#-!Q(NMNc+nq=_F)NA~r#se7&9wriNSgN_+^!K%5O zMFV83?$^y!6qd}>F2M`j(6vynlf)`|vI*3LJ!+gFq3>J2px#d|CFG5#^eXm}N`=CRqk4*o=9U^#-yXnQ zOr_{~Bf+`2^W86yDgO z>3VRzrSn`S?&?wl6fv z*^`Ptfclgt$id*ABHd7bqHn*YcJaF`!jwA-vGc{|sA)H^Z1(H5yGp4+0Z2YQW>CFi ziiA|j(D+8ZFI;l|V&j`wq=}b|4b}X<@@+h%M&U@5Qs*_t+n-xr6!#fRkl9sQG_Kcy zfBFX)^jU!ObU*la{5LR^3hIJ3!2TUAD}$LAL|S3(a=jFtPIBX^Xp+AJZH%hFzc-m$ z5R<(BCK=JIx5EY+WNP517o$88Bt3|DyWb)JF>6-f`yB{Zy??upSld8SZ%(?^Pz2utiwb{#QYEHJ}C7a;Ejzz#_*THa%7Ilejs zEv(o4=V_{YVp)~>dMnu1jM?}P?zfInsdr7-hij&FV{lnbF=VH&;HZ7pdJr6OH+4c$zj!XmGUe77G;rP@HB~f^ zg*s*gXh=``4#k1?rh(aD0uMoVRVH)8{27I`Fk0dDq?Ua$)%pI>Bc{R$6N@*Dv`BCSXuWc_Jp@ zXyZr0sr&8vS_+=u1?!BK?U+RWW^Pz?_Jn8`p$^_W(f)9Bmi}X36^2^bCKdH^Sedrn zj-RFyj48P383}+*v(~z3XCwQy@9io=1vgUU0d14W1#+1k9A5a74F#0jKMP z)BH`fYm7k^v~C0Vf!|hV7Q1b_3yR`>t`9fG0|U9NqJ#j055VNp>b$>?iEqsJ?$QCR zuBoM=-j(I2PmCp5tZ#$`qRyvyUw!v01*on^k7m){vf&XL!WNY_gZCHZ2HsHQfB-T2 z?ox1~YY>T{4r3-70{WETwTQ$HHIJ552GI+MS42k1@`%!4nYSFwwgXf3G;5f#(S)nSKaJ?!w2+FvlJ)8lMADg zGAzlIBZEhz1M=;0q~6XD6itZ!aAg~BJ-97X3?VeVm>oCPv3Bs z;4MH?M5Y1U#7J^~Dcgvm{E-OxaeYQPDlAwG`hspEB3)3$Wo4Q=p}%*gm%5Jj8S+Lm z({{Oxz##;+QKv(osEHuQ_e_at%zvlxvfTA7H+IYgi*pwDE#$KS^tlW}GE*Rtuz@I1 zM<`MTq=L&73KaqF=j8o+U z!HnkmyOCQPi!uE@CTrvgcesI*&33)xiy>)>63ONuS-G|NYX-#xoRR1>rx5f##O<%g z^$A0L179c60cIlD$a*WEPao@n!hnYl9C@;ImUFhSX|3DYXWVvrLYke&(PsX~za{7l z$uyOYrTs^8V^xHG`)mUon8!)4c}!uVJ{FXmDYcJsq@xEIIM=OT8OjoU6B7zbp9{AD zk}^JxFFv-wLL#ef>3l-XE@pZcxH9~MM?|%^lD$-o*45u5YG#gW#O`C!M#~0GqA^bH z-eI$@aak!W*&w_G9PR`bnlT`NH&EYlV%uR>0C)QB#>XpR;7e31btB{q#8ZVNi?x7U!4RtJ!?sf;d zK#Q^8YtIBWOCCayU(L0VMsxFX9UyFgFThSwGxm)!ZSbi-xIG zGQ|7@1HU4L++*5ol|^{Rgc(a8Dc1m98u6<(2Md$#R;fnadbU4twj}D5tBweQVQR8N zL`(A)42F1}+yxteHtZqMW`llxUCV;j>vxUN`=nT_md&XomN2#5)(_?qg(oA&aXDn( z=g?uVtN7dBUJ8MF)l<>sqcFII>YMe2EN<6D<7o5)%Jy~{TJdvYRfzN_wAUccW5HtkK>^JYZ`0o!lX$sDf0)#(LOtF2xE^Q`@4I<|3+m@n@uH~wY3OMRE zJ&n0>UfqBcCaJRVDp`3xQhk|RiDjJyFe2~!P|NZRg158+}wXafl?0VSd zAEKi-X5GS>PTfDgXUIvy+$8q1Z9P%@766x_X7qfm220`4m9vZNlY=&}hsEfhbB2Yk z!O>Mchygp2ZYuKVA{v$m$LL#hfChd7tkbfia%w@jmX=4v!_+lfxVzQQXFUNmgq)jSXq2 zy$KYDAU#G1ivPyW(lOIITNx+G)rJ2(+bgA%_05gQBQ#+BO}R5V1DppM4jAvifImlJ za1p*Ae0Iu1Wd1cIpXYO&I_{N!c^rrYA~Yte^FT*u{yJ>h8NydP10J1b6^l2`C7@ zgDhrqOKpr6>II-A-ds6vWZzf;iJG86#b{Otwchd@wbYsf`RTY=t_eI9=iB-#k|c)V zUHY`@7DzUPF&X2^)Dy+EIQh9%LQ%yGks)-xjv2Q&w&V4z(xt#n{=wX2)q|%4uGB8( zF@FE~_VKWA5HXiTM!-v0@x9s*<3gn!9Uz+lX~weHYOQ~VW8KDCkZe3EWbrNh3Y4v_7jojj z6szxzyG7M}Y>v2;w6G-8>TkQ7n ziYXyzj2Nsgmlk+z#~?(Cp}xMxc=dcFAX=elmjdTj@oRJ1>2*z9Oq&Q$2h1L`s-kSP zgB%XK{E21ss)#J1%&sTSM%ZEO?0&J~Y_y?EQ7(+(mls+ahe6p$v}>YR9X!0H|9t)c zp^#UPD9m@TVqhQ=rbdbL4&2DoQcXyKlU0L-Agvx}RVQsz=-+3nUv{Iv{zD@KRYM`N z7nt@md5?brx|!10@`grT)~su6<(DZu@DC15id&jBcQlTH*n4lG{``&FHZ^M8%I;;oFP|C_j=sNJm1= z33ul*auuuBRbH#=B#)(iZl;o;ts$q0E_bRs5y<94WxM1asnvLDP@f-8AR6AF3attq zjNg*5J`}dp!|SVg{zA!5S)UyvJks3qF5a^3&MhT<%z(+4#OZrCUfQ@;W&l-YMrsN? zJB{q6cAZawWK@cA%*QnC_H`>;s#OZaiK)P)^5|5KH}l>NeO|w>FvvvOMNe;`3r;%b z?DgdUcDY)@MnM%Yonte10L(fJEMx)lDUa>|<0Ozh4TA76@8j@@0Kkm1O)#iJ2Tuz3 zo)VqIp%*b2Vi(;ABrz%cR=meHCnvV3+&C8C#VQ8`Btt-;7Tos{0uI2^0^P09EJt|5}YX5{;9goLK1 zPSZ->qY(HO?*03(jQZcy8$Zr8(@vdZPspD{r;MsQ*Sf)I_#LH2bWOA5uy|Z-ILIvJ zT(r4Ea+Mh9CmxxjS?($lk0*rUpUr&zQg1gbu8FR;m)H(>o|AZ-U~%q$B*);gy!d~4 zha&~D>GinoOlHv!CX}kFl$}I9vcG(2>Z)~wxJD~M$)PtAVNn-Uc71j$01L%YV8Wn4{B@)|5g#YvX~O+BMJ#5ce5oO>ByyrW;Rbiv2iq42NiZo-ql-JKYhnk_Bu7ZV=%c)=epOl6FFD&!GTNA5PdB_;q&joXoq2mk11pq(k7Q zk<+NZ4kSTGF`1kh%qF+_0YCe-T$SsMC2#N{V2Gtx^q=bYzy~TVl*O z(Y@|1F_4W4Y+-+|4sL=Wc$iqlSKji&FG_-ZZ=^NR!Ca>V9ckwG(Z3hpmiS0SWurd5 zVCe!o6XZXmXWECqOu*xrV6hTIu|WX&4ib2n{;V!#Q~C9BoN6}CCn6X37gZJ}>^6TS zc#nyr(e;B`Wut6Disq5$V|#ZCrhB`UWnF59s8`Endfq--%I=a9Wp|f@zfH;O-^c^! zM#J{(@+8_I-qu%_8Tul&9Xu*9(G(`?>VeHjuV;WYeh_QV2{!hyU@-L&*dtHPECE9a zbe2E^Bh?KgTuOHJyN$&4yd>Z~df6nwQ^G1jL7}=xQvQsd8`U&P+>>G`K!ZES+VFkZ zK%2EUV%drSg0$um%>DC=-ZV&1;|@(8 z1g_Odl-L-@_f~ahQM)DALTrgCtal%lBY9!_G#0ITn|+ZQv-_pg^Y=iG{wDP{Ay}B6 zb4L^o(|jA*!k9#>tmtVGrLCJW?k8sUH>;C4 z9AhrKA6$0g#1^(uJ7JBzmTn;!2kqOJqcQ?de^axn1=Im*&dgnkc=CuuY)?qCnffcw z6nx+Q93OszuPRAujhZ;z=lC9YFhfd)uKt7f4|bqIp4Hr3R- zx_+S2ORsWVpImn`KXh#~7pC}SgyfrRjYmaA5spm)A3APBcrR#cX80#t6!=d;tSIaB z<>S!Y612L~#z()Qk__Npcbj5zD< z7u!Dk3R#Q|?R(7N-Ry%4)s$4Ir5Er8X9)0nf`Gvt-?^NHtCrPaFxjW#;H@a!?ADy; zl`ZnY-G*hJ$Xt`H%G~Iio-vJg>#RxH(n$I%iA(xe)(@-LLbrBjy6P|Fc+^QG)NkF( zcoyB?|MUJzP7s*oojr29^=$HP3U#D0keyyl9BnKlW@J@wHfYKQEybgX>sv1-yb&@0 zLdlVZ>UK~w(#3x-3{F;wQIu3Ou`4b}XU?hOQKr+z$w9Ng;Qa(x7yIQ)x&fbLcRy*r zJ9=N)1jWqgjVKcjB%^PF+l2T7E`Cutq4Y-$h48Nti>>tH+BXgJa+%{Dp-nIPIMbFb zbbkj0XE;>Oe=#iUOUn73muRl5^l68q8$1wQ77}UI4fs77Zb5;EJ&opYMu}l!@O3{9 ze!AWBVJMaTPd7;EZw(V~&U}z|Izz>GePyYN*m}(xVRO{S-h@O`3%N+H^G8xP`A*mm z)#|>XJ4s`%84^^cTdpMbM155{-(gv_NET@lr6aO*eJ@u!*iT(&^(u69i$i9lo-l5j z2@4CPaQW<=DdN4v6=c@n5R86L_pV%~glSx|xvS6eUxvUuq!w3SorI~d#w&G{0Js#N z{c%+l>8sSaKc^qo7s<<0R!9EYA?d6jj`uG ztgyY@>%8QflYIw&ohb;dS~8A22Bj?&eJq$@79I)YBq{w=U33Y*&CnKlk^h=r1BB1o zas8sHyIC)#he%@o{9z90lGy+DhTQTnrg zs#~Zo^b`gx3}DdD>r7@aZ^L%m%AD2zRbfrZO)7(px!zgHhGjRFALMz$@_7WP^UcGq zhLe|`q+p(so+YFy^{>WisR<5D1zKSHL27BZqXRWzL zQ{cV^Ox}5CCl+v!Y1I`83PyFHdtN_OG#_R|*2l9Eq{2KlD|#Fb1_ZL|>d3&jNxwVP z@0T1_MzyIo5`<4SSR)5e0dV26DLR3zca$f^W~vOHs2~#d5gC<=o*cRpG{zj6=t8GO zAuvrFeOUtf-43`|$yv{%ddneZpsSIi|AMufo65SE0P+`(!2Dzw;$X_#J-d8`MLVBT zAsYq)I!4f3nA!{^0;rpEDbf9=5B!NE`-qtZfX85PFZfxQ8K0U{>9SY=II{)Uq8EV@ z-NY{fedp{jK1=$#7`D0#x6a(<$yS!$Y^#S9LavXVx-H`suk9Lh$9?y?IMZ>-jW+|c zxk9>3CL0_XTMu(M`QVS8_d1vxe#r2bMzhi-XosL90^R=!T*sA-3yEXne!k`La`=(7;s4o4v$jVzf}g#j@adKavTos z{BZoIyyv4D|BeLi%!=A7a%jTORI}=Q_m+XbSFQMej&*k)Uhfxqr-&I&J6jf5{kcFX z3(N#0LmTCVU&blW#3h|AQ3m(2)A!%`L^tSH#84W&n5AKceiZ#_XbSD^eb@|;2k%4C zt2S->Tk{ukF&;3ulY-dMtq)&64_!Q2yYB|G<_)q`i7*`se!CVii|0E5q@CKOJMDW> zOjieqiJs!*wRHK&=O+RJc989fm}5wdN%gN~hFUql4;To}n8{KyGR|9!+A z7qakxW6Qs;0LSM7xcbDRI=0h}(5yS_OM9%*q@x`x|1)qA4Eu`6k52mm>R9)^YE)?> znX0N$g59`0w>`^e5f1}s{7-5|*VFjOWVj|ngtE0u?;r?Lt>p(&1MV@To z)#bED((aL~;SH?6had0cK#8gbEVhI=-0!KrMFF99cc#_htxFKT>~9h89f>d5Mq&EP zNz#X&aeB>WM!x$d%qk<_spZfkd2cK44v2K%ufa`8#G)4F4dE1Teo%KkuEL=Dh;+2H z5fdZ^CdHhJTMi9gSh=doe`u`VvbsXLHDC3WrCgy$P5RM_%18N9p^Z4RrbcZ%D~h zXf_Ljq>5|w@|hCV|1&XByLD)k8ga&<`~L>V7=Ok8Gxw0s0E}3%(Yw?9Qe4#FsmIhs zy;C6H^Yfv|Z=IZm?*u1CU%z|9qhe4-X0X$-3HLy*^EcB~+;c@@babnm^(eJ8uvdDq zJUh_y!eE$#0cwT9BdWh^ik*)mhfvO<#>r56pn9Fe~ z;=!wweM=?K$?I?1{e?UFTa(o$R@G<+Ye{+)d?bGKr$0ZtHQ{ee$n%ow*M2xPkl#fL z7TTWYd54&h3}wyb%uo0nJz?vk&I5BL^EDRDb~=d_`v$0yXpiY;L1FHLVjX+E1qzQ+ z!3$v42k9%hD-`M=wwKeH={E;YO-PHYcnK9hRi1rOm(JZJZ5n)In zZjP_s^%nWX#GTUbKlyzE=Opmoa~K)p_bk;4^mS{}I{uIY#jm_PbTm3V>t~^S5>`>S zW#ZPoLajEGB^?kpN;Zh8L~Z_kX$RrpeE7;x)wHy3LRtgvj0bX>0 zk+n~RiiKb_EOkFLR~O-YBF&+q8xtHOzZP!~2CBJjXrIiF0{$>I zArokOG1-hRTT_AhO)fXEz+j*In^QITX%|b36yOq~Vo?kX6tege%7$L|60T;33L6JL zT+fXO?iNgBA=wi|Pa%P@Rl3lhTd>MB!7WgoBB*A7vI1NV^R!{XjQHh3lOucGM|;}R zgv0coTl3SyV`>L}^+!p_Bmy=AL$4%AdmKBF4syNY4PBss&nfI;J%`8ki*9xXpNhb& z8`}R0-&mXszF5BG*W{vIwsQ-M*PZXjVdBKg&jo+|WcU(@ZbIqJs?i@0>zaYi-QT%NC z2I@43ZuY29*_m?rqI=Qd)8B4Mp(CZM>15G*!c-v`i-ARG4n6*<9W2)jsIXC|pHWJ3 z02llQVo%TN{y2dIKx=pE^*|5`RLp%tcKA4;JtTX#wGKH!Jcl-?{mzcAIDvwT-s2awmfoM$v| zwU+DH_uOaT_Fs5p&t36ZfzJzam4(wS z2kU(Gy~b&=Itrz@rGn5vGgD1K%AjEv(Fm=EdTR>xl`D3YA0u+vV8moJNXG!$WZEcx z5Z63}XzOa2{k~c)X(?9j_QC2cv616&JFAGZn?_Oi0A~F>pn7b5IQ%4pM@6%;4TdE_ zYxm4F3FLfvL7lbE8wg2aTI9%jn4{|eqlJ5x4KvfV9%_qW~Eu>C1y{Nwdy zlJhPIdB*mmchqNhy)(uVE+p7~c&Kz8@LNyRxnEQh3u}UW~$jeJ-(kg2WfSUZ1+AdP` zU>}V8e5hQX7Cp?+9{4VonI8qX!c!9bllW?xJpcsD%_=pm=f;GoF51{n`6YBKc`bfV;CeW**XvI3 zfQkV9pcEoprBVzl{JpZR^%%SNF*XMYXeYre3QZ8ax^W&}@-6{uZ&m$o4JZ_!ig_NMEtMEViC6tHwKUQ%G*Ex@}+>NIDX-(rxS{GtIkQ2CP%eV*;o8lfu6@WS5 zLWWmq(x-_zHPn7OZ+a^7@3g(-51H^;;6m*+D!WavPOz=l;wYv38%nH6Tx@#+lq1`ZRXwgO>0$&QYy)YdX&=e|8L}gr9Uu& zv45@`x;hgZw`@m=%eVCe#%+1$7plE@c}zo_MB%~hr@4L0poun+-R~ZX#leX#sO{|6 zTgb_f>U`Dp2dw9s$IZ!Q0PoF#z?Lw<37lz>9lUui`}vrt-=P#@Sqp9kfaeD|W(aE4 z@+|;_)Penr?xVb`rKTZtVhs9mT>e_c`IxNz4^R>opHE&VXGQT1sy;|dh-jkqY^9nn z7DP=+vJlG0&&83-uY>Uh#QmjEL*^5|3?P$J`VxbjdwoQ+*bvWaI9gexGES1(UK`f_ zeSs-R4I0+N^LHI>xfd>Wv);<{0rbQ26R_|@qHg29Qaa{_L&K%c_AWi;P?haaIr3=i>qGaYjeU-mL#eKUTYN zdzq)Sq?sdLw2oRcw(sFLrW2a>ILlfe4-tU5R0qx&CN#nW0yW@V9G~!ZzXkf>Xa=J$Yl0pr1{GC2N};EnhF9}g+h;qS ze?Mv$cQ=(9d~A(43ojxK^(?Wxj}f9N@_2dptU+$w84R>(EmP|LLFNs+7st<+i2b*N zGlGWaP8FnT%klbv`)b!_j4$y5y)nM9vD1p}DSp~0^kl4KWF_I;OpCHEM~~xSd5@Tn zH6>3=Wxp*%#Vtt+-n1xquJpwh9Ggb}&8K+AGI&eB3PwH)8?y$ElAA<#Q^-|~jA(C& znJxmLj6+^w9r@|=>bpm}O}lD)kHMd$enFSp(QY4H@$^2D^EMTq_?L;fU{73kmhFDC ze;NGgVDVV1e-x{Kc+S0x_jAv@ zclI^;W+ou#35JwKXZ${w(|RjLboju#0uS8pf;9nhvvu{hMe|H4NLaYOjyChF7K7?m zp&n_&AW(+)*Alqo(mHoFYF&o23LLEPT#Bt(6YpX|1r6P^+nzlnDxVF*cxZvlO))yp zpYPk+TNHDrX6Bwgr@No-d%I6}r4RZ(w3hJd!R$6|fL(DN zw&@3xsin_|7Z&>=aM1cDqzwe()kG?dT%T97fUweIzYURDag-h+KpW3wnr>_%w%u$t zX(Q!jFCuDz3Eu;FIf@o`WcwyrB2Pm{9XW5n)}Q@AguHc}zI9y4HCwVGqXPYw`temR z(fxgp+Ddky3&J}ir2AuBj$aknqOsJDApMKg8msxa%xu#(j~~NNQRTkB$*BLZVE{B< zq0T)vxG}A+Kzz6y&vWA`$?sykDlP>fu?@TEpLLbkpn=Mt82;u7zFJ>L5n2!a|0IWl z%?><1JY)sDYj56A41%Np(0>NB^nk@x7-e@{?o*(xPHgGm`!_$G)y{L-qd>Em-noe9 z{^RkV2?((Dn|T{9A_&i8y*~=8w&;=d-U5X{n6(6`HJt~i%{svo%j1K0puR!6zQj9c zgg-!0L1Bs+elEAWv8k-NXl19lx!B6P>o5=eszw=<6Sxw~Ct`hdn$~~N5~ov|!vJIm zmrIFesd~*TFUz`D{ zK|@>`vZ1*0v6!;{z9i+0O>*2`2P~3x^-Ah}H2cxHC3IFSF=-(Sw{fssIOrbWtH`$Q2T+mn0;( zK2vo@(~6y#osvV9!-e&8`dev`#p%o%TJZF<#@iEnw8Da&=($^0r#E1)lr=lpj|EbY z&YM9Z5(qk(s)n1^l@X5@E+6YVEWBR>{`jvCx8Ek+`<*iHx3-DS+%X0N5cn(3*BYna zdjG1}usi+f%#qj$D)4_OJ-ikayUiY6h2GPK^;m@Uti~5ixP=3c=foRu&?Co*G0h%2 zsRW{(n}6qz@14Zs2KJx>_ceCsEl1z@oxE=Q-lZXM#;NGF?KRZ=jVqnhi+G1uYvF^P~?Q}i~8}DMB2XdA; zVcKz^UGCe)xc{HsC4*J^U)w)_+m_#J#3$!?pNw6B=)dSR`dIHXF^v2KIn_vfPHnZfhdf4le zJNrXS2tZ~0_pW)D)Wnc3CjN#Cj=vkJ`JW=HI7LnALk3fxdav1sw39rMhCJL)2(})W zWpx(@9*NvvF>}IRJ^Y)Fl(9KnapaiHZ7DBRG;th|27zGCENn^8Lyb6cfk_ymK*4l> zY%Bj&fdT|ROLqP(yUiyx`Kt;ei1AO|PXzfgrCg9w7jv@f0y)(>-@kX%xxO_ z;Q!~r#A8yakNLQ;ayi6&L~Q`FLPPw#wQSCIWB}`0DtZ@zMU6*0in@GT%(; zb{K^!Yd=GB_GZ!Y+_h&(PP}ddxwiNPsnyDY5RpKY1M^AC%J!zg(fuM9trlaL4kd^* zs@iKy=S$hoX36KK;`9{Vwh&k0^x!~QISB`sQrhqgbam@U**jG9(f){uM*}4*)UT8d z+?Acg*cEhYEh3!vH9W3x+VA-m#c=-*7k4fFaK_XHR3g(qfu8OOe!1xt!dItHxRZ$& z-t5}d%Av3sVAdPRYx=QPQ132Iq>22Pv-s&GI>n5?(hjPkd@E((QV&XhXu;=^@9I0w z1=x{nva_La$X7}1y(S*7u1+2(Srr5IZd9>8h6EtuFPw)K{!YeA{l+79j5-asEq%kj z-3!t&ks?s&Bbgo^_7{D;wXNGxj}8asnBKOGY8l2$y;jbZcy4Z#!`r3*|kJ3{axsM^M7Ee%Hnxn;EZETs4+yHn#z~n|zzc4ZlAslIzKjQnvZakq!a++}m1QEq znYNBAXZ2c@4TlyOJywf`x$5(1SlRzFX@b5{GbAC+wAx8%HD{=_!RT`mORifc<(}(0 zz<07ED!h{f?oLODV^pF_#fuCl`0k=A=O>{l1Snq9SH<^L*jg<3Ryr%6poZ{$QG1aC zFKcgmffD(JCldLHO~wVCQ3S*gbO$MgP~tQt3UmNZ^58m&cpzl}v>fUK*kK3qQm9=l6GD%IJtwSG4xN zln70R6`gU7M4y|F|D0%bP!vw6KT3Qjw^k^Snz7 z{1tcp#XwJj4c#o{kSL%{=L9ri?Bd==o{SN+UbsK_wKM9c+hht5H~a6F=N(nedv2I| z4zZWw3Ak6IEoV1}9I8(Txw!KR)$?B0m9u7DP0jfy&hJ%WYI?+7c;?{H=Cq3P%33_# zqfGSv#1sd`4VR1!S787!@{v2B=ykSl~;k)q>W zm&#DjCqzgdlE&PdP{`FCDCe8bbAj2Bl7T?<1bYXX7ZuR%`hg>-DWa>!U2Av5Db2i5eMgHcPH zNqx(8a#IbW_iazP81y_M+Y=Q+d0UP4@fooc1M#QdtQPfx8Kk-9^#pz9yw5suuTVhx z^K5DFTk!u%V5;bRr`e>j)R8+1XOzyk@HiDqA1x=RcW2a+zyVE4;R`|XNr|BuZ{{wo zq>>E9ht^NUd_aaqpZ5jdDwD7f9VuLdLxiAYB94sLYo_a3cv}JwX>aW3Vtg^9G+^EIX58wVXSDxYh7%I!oj1 zs^PLO?Gs5>#+LN%JFyfZ4D^T0q)4*|2XV(ly#>V)8C?Qmi;G90xa@;9uyayaxoB$%TN_Uzdy9>XS%ezOu07dgbg3v797Ah_OX3SZvzNA0r5HNQxE&PednA<4Dtg3{};aa{oB$vyhqDRLC z2?D2(d1_B+j^}pV);rq+iFZ>`+UJdHd-;Bv-lYV5s4H_n6$|ycDRY1I zFE~7^+=X8%q1uxbi6Q!tw+p`V&=h=QHN}jxc;dD>mF*J}Y?O~6l?6}b|l>O#fGV6a+v?bZ} z^Smg{1cEGUt-$wdZRT9**14MOfuk6b)AJCpHk++oo`^?NEI&`;%OJD;bwnyIj0JH{ zW@q$!veCO(-CDJblIYc0Dg>1BmZj0Rw34ie`ZM*C!Od2Y>TO^AJdm~*Dzw;;1? z>S7&?H@NR38aqT#eo8m#Rym_d6o2_5T1BP9I^3>t&mf_?VNCbk4=z+PQoeSB$m z`px&>(;JP}c~`jzk{R#1dj^)gp3JG_#7nfW-3br9Vw~yXuP`lZ;jx@>ZiU$IHA(^p zX)iRSbjK{PwCKlHmdpmG+vPd2>`)=8joU<@23a#h38g&j!F1ub0jjAG{L!`&YTd$7 zdkZgts%>Mz`-TTf9Fwz*L3XW5NhN;)UuXn9)R@;>#!Nc1X|v#U2SNq(h{zC~H5{o; z54lYb9q4DhRCkB+i;+rcOa`c)NzR!)aqu-^VaYyqtLLhH#>sbbkDt!}ND?Hex{vpx z($5e0i=>-Qk1qq!y>HBzcNT5^JCNXODJWhitS-K9otYaqaODbf28}3o77s&5pAY@Q z2oLiaE?5yKJ(PNl{Wq-39(hwV9X6$uK=e)~#eg2?)&MQtB&YkpdC06tlQl<6X^Y@p zS=(tnZa|zV*$B?s_`Ky}$Y7I!H>Qh)5D-sYD`i6bui~F7h&wBE@{$Cfm}M0Anw^x2 z^$-(`JnxGnawGFyR7?JY-@@b(&90H=0bBR=lP%TCaZ`z$SJcwm_VHu{C&lDKiuBM7W_@6exbCZAhe*M;%a{T#RwXba$3k%c8LiOpRZws>STt!I8JlnH>~?889_44QdXU0r-NymO^NcIp za!g&w`wZ1pHCU;PPo{|Xi(^U&OKDwCj;_z*)wSt=gt%iflAi9Q@0f0-j2@}s0|G>% zbmW;x$`s1*86U0ja9Z$^-BeV<%|3CtexrUoOsaZKF(&xo zVS~_58o8l)L#vaCaiUL?vv>9jho(1(lYG}~)k)Qo9_>tYE&A%X3f+I4ICAy<1^R63 zy7Cmc9i{J!18bPoXo7CJmwez<#_j%36%`e|58M8YfVSeOCyfEkZ71HYY$T4NMu%?V zS(LjCl)1=`-kLfr-NPSCei+a{u9z2dh0h-pY@H-U1*hfiHN6C-{7xt8gUH$4xT%(9 zaJJ=n(_cTcT5nluR8x=`OhP+n7)>?g|MIC5XlSe6kkQvnksld1vIc#EPR*|BWt6#y z+vuokIrke;ASjP$6HRm}fOR%6e}MkpZx6S3Xj*21C|1QGS}e*zkh_(Jf%Z0YYTRou zh4UBaK6rfmi-w+_9`O`D{44wZjG0o*pUkGVdFhUw1XD^{T2n`7T^~B)z+CB5$59u} zH!;();*5qB=%t-mJKpG!+cQ0m(xT2`|6KZanbS_J^^IfU180e1jb{dov^tg0vagHw4!p0cHi*QoHyPMA_-y5^t-fF+1dg>&ef~YKX8NuQ ziW3#d;ykS!FX*x}-^i(@rS&B}eb+c8H8m2SUe5etZ9 z@Sr*Gq^&hjM#ep8ad_9-joApMqpA5MQ!Rq{g`W9(|JR{&?E;mq`@5TJpHrK-09RMn zqs??D-?Ef7nHkR$^34E01mI#8RbkpC62x1^_EWFVuFmK>3}`<~D6m(tiHuAu{OI2H z-u{hp28T&YSW}aL|Gz~q1$A{$S)KPC2??iZjMcBtK6~RMFYU|-6DX2jiX0z%F0ja$xL841S=!W;dMH~wj?~OwbEqm39QF+FU}tCJ z>TB2MyWXJdo%7X+wfp`Y@$Ph`yuZKyoiHIjKE9}V&6LXtDW)$tpNyLx>|90SeWcG6 zv~&T-IwO>3s8YfD#=a zUvs6}+`4DH=tYDusBqBYUaV=eP7;mGlz>jkVQlx(34>aDZImc3`qzXv4|J`?>=#kd zZaN+U6bg+!@tqyv*&$&LmkOCGHyWh+Xci-9m2kCE)MsTck_K}*P9={k@HWOiPi0WF z|Kh?cw@3L%`~NWo2EuZ^Xpqf-Xjraypn>r5e+~lU=A~9WZc2l3YyKtofIEZr{f-*N z{$I=+cP5$Li0l0fS8rdRR6Il3>sq;kFSmSt7w^vw7Ae5=BR_xc1A5@RH^bfBbE53% z$Pu5AkO|!z8yh=c8!3gWMoh(#IIiv5)#sT83g|HKBf!2 zKh36p`I0~=6GzndtTRj0ZyjgQ)?u#h_|hw$0eyCM)-__2H2v?#X|o_IPz_NQY^5b2 zAUK*ba_U-j?x!MOWR7id^|sP6H2ehe!K`jCkG*$_3)gX&pYb^@#q90$a za%!J-{6|>vZ8JSM@*ivQc=zYqE7bk@MpOu!X)9Sz1n#f)fSWIgi41P;_w)7dNKZ~q zzGP&ud9ghCnwS_COTjOclBAR$GkSTr`8U14zrQm_GW2n#&xC}?3)M2E3=C2iarp6-Uk|-#;eFa$3xB)VE==k|b zg+2G|&Z4vx718@*o`xc0l9+>6*9by9)}#`}x|h0sH~WniFTYjUjncte_#Ec?Ni`rc zva-$W!;e#+tCzO1DNw;j?z`BZ=k~vJ7P*+Qf|T56-d|65SpGX$d?_#Y57TKP47T2}4g=(fS;FF6qj2@DivO%W#Q zP|X&jl9iR+T4;WisKf}C#bziYD*JBF)-^)zA37m3Mv-Cy(<1I96G=%)z(1~v#`d2cyC3W7cL!#J|6j16e(Z>mqr$(&}N z8I_aGx5x4ol$5%G<>2<%(E%S?E;PBgM#%qr0_aN}NMN=CQUIEqVj4C&vU>>xj@$7J z4XuI^W`F`L1w91($rd-;?Dww)0!ReVTffqD$iwp|l~Kd{E_s>&q|(W`En!{6VAD$Z zM#n{GSTB0B^zmy@t5SsEthZOD%(z*rAQAz-(CjwTG))ja}884?s_#W zf|$eVBkpxTX)~Plx3@S7pmHFgl=;c}fI*utFOb-<28a3IRAT|OVZoF3Ny1p!*wi9q zsJPVbM*M-d-tGqrPsa<@od^^OAqM4ol!C5EcQ^k4bF!`9yzx#v69~K&fUT`re`0Yi zL5xO?{529rB(b!@B>p!)HtG^mez*^W_2OZrA#ms{2o{!1e@B|ef|C^ znVGTq$|*M3|hBlqMiTvaA+GelbSx|i3=9mB)24o^fGy3^ zc{efyQfNL}e2=!LFWe*J(SEmrYHZ-8Us>h<@hy2(2qLN_uqv^eK2ecrpbDCd>I_iZ zXNm+sw>EIXBa0Nxfq6GAE-OnEMxvve<#wU7UwO|*!K9iNR#n9%BPRy~Rh8w>i4p+x zNZQ-80_Nfo5{BAl2ao{%K!Sn1TaM&_Fx}CSvqF3rJUeLVsuk#7$Iap)9zK3ZYAV_K z`g+ryiDLZG0CTqa<)!pIug9EgMZe>k7$C|0QH1z2CMJ~8(NVzgg89?U_4Us8 zeA15)>4K zT^_Gl9>bu(?t{QA3Va#m831i)cQ_`rSi7)yw$>I}qFWkfSWa@f`Iqq5XDUKB_z;w40-lQZ5W;<^b>Kn9nYup-RWpBO4MP;!_pNw9=@mo z5F7F;F!isgsVrbbx5cyVaal`C%h>tDg=TFC9`LCEE$w#~Mo%ObT7AaXd~VKn;SCjD zhf9{%XWK*8kVhGEoc~c+7)@&G-Q}t_6o6t$mLw$?z&H5e>FFslq}mOx zMk}KW`!T*92DNl?Jl)ER`vd?A?dRfw@pQ2^GdFOJXv6RxSAt5|lL(khUTS{)(a>%q z4;kzQX3)mK|@oSn}|inwLNqSHek6J9j2aEox_XMCItdOMo(36ADQwDQjQl zsYANVJAu$t0ZUnC+C~o1(A3mCytl8Pb9f!kAV7)J=;7P8WFzh0q~N?qR<3h(wh1o%Tfxtqjfyo9WGwP#>GW2C|>>&zYockj-UgZ=utwu z;0C6FSJpAqqU6t?KL=RJ1>i42w^Yw!tuGc5Oe_8InV{fPtG<{nzr!|E;GTks)4h5% zzSgkZcDYwOY~DCO+UR7qzEA!_`J@Knb5y~{~jq+r+H&* zYXywmCFqGAQdGp^e=%!oP;H6a;=cVs&~0-iF6cIIzTL&e#TzKr@$VOvkGD^$Ja6O8 zs$l*FKDP-}zT-P6Nu-U-2a`Vt8p9o?Yazu7E^ zpN$O*lY~tI2omtsj{yW)Ew*?>#>AZM0w6s|V(8uf!1Z`Lq{9pd1&2>m)ZIodVJuDFNA(bazQhgEUCDwA4Sh z=iGD8_dnnN-|s%(<$;I2*IsL`x#k>mjQ4%Vm^(~GNd_B(3q|?DPhrXzb!(Ywu!fWkU1rjgzyLy&VsyASV|)jirl= zgR}6HCvX3C0;j!`#S^}=szT7n0|!}cX9xtx81aYnRXpDc0;#l=8)vOGEl!#y3Sat9+Y z(wL3r4cNH{wKO{Ib1Cpsp=R?8LPtlJ-4zgqkB5gB%fO_BI3AZQ2;SkznXDk*F@*h} ze5h4?|G5UI{*>eTK+5hEIlrx6o)sSjXoZ7V0cJTO(=*L9xy#UU@Gr24UJV4>iL;i)6&9$j2#XBc=V`v{*I@m5aZ z|MtT=>t}vzvQw@wA!nwm(_n1!Oe-C18N|bKCksxrrtnxCDvNs~gDxeLkaphP=o=lc z4^~kTfyWsP2vd)$taLM8+jgy@x(ALV`1AcAj9P7BG{(1K0z5obM+Mkd$dv-PlCY;U zEZii66^wyI(SQF*cUPtOOb=9s_J2u9Rg!QyW~Y`3e?l>GbE2cuAxIV+fjK&L>&tsh zdE-QchFT7R6NEZ=_QA^n(-kS_aEm!Syb-l-eOJVD|HqWCsLem>-n#`yoFl@<{{3YQ zLCsaZi~murfA=SY$vs%5JPjRPIcO=Odn-cyq9@~X>ysG6=j@D`Fp;QtEdkF^@V+bL zmFXkn;X%W}1iMS1d*5C9cyG(d;3}q8C~y+WlD7tZZIz+k>JcP6Y$oTIQ2j*eOFYYn zi>Jy6x*w1@itYWot)uolMGVr)N3MGmosR9ka)B#atbZ{vA_jX%deIOPvpW8rKtDIJpIbh5A8#;m3BGB?&7SPg`S>#bQSGT=MqAVH$qQA# znCo>S@AH__wl|M&R0z-pU8(fuvzCWT-iG9{U6gKI9VLlx`r92|GSFpTwvpzu$!*=c zz1(0v8Z^x4iMdlVcaz%R%{J82pdM!3iTYg`QnX6(hLtwn zIE{P2S~}CKogGpkW$x*rmdmCqyu+Sk41OIqFcf954uRa z#CayHsH?(0hZ5q5KRtNBo5dE&#( zu!!2VyK@`w{quLreW%6I8T8D16l`*SuN#%5D!)B-OqCHA;*P|bcY~CDitZOCJ9=`^ zh`jT2+i`omz&3I*cj;_L#Id8=&U-s6=b{bsW|KT-r4XD_eEM04T%P;wQs*Iqk|C^p zYXluJNY}Zlo!m_yd7*7K)g|q-rP>kvrpSvPzbQ0J3__M~D{7s_*cy4ax}QYHWS*O# zDyLKRsOR^{FV1X@sSqx0pfqjTQg!#ee3H5&njD$W#hubB-w_|maO}mEyR1fNYd9ac zxG)nYU|4r=&~;7xR?A>A`k?vTy76FkI0v+6f1AX7^d~*teRjg8EIV92TEQ6oUN94zDJz*4bEOh~O`|10myw_YQH9gn6&44bKJX19;>7vCcd!zg>wnt!A2d(N&+ zm(}-<+)!^~uJk;KUP*e-8W@j!P9^@pKOU`2Us0^_vd^yZ^o`BP$S)KKOqj6mR!^N^ zcMsl^CSc#qY|w(e(UX1Ab%g2uXF%{J6Fy1WE1FzP23M3YGqTt(5A`9zke7L*BqK2`ZBM_o=qDjxkp&(h}5#MujlzvOGr3{U=1X$!xN|GRhNgL0#0R&eLl17BYO zyQX)~ZdbRC-49!7nDDI>nEd?JO(A|6H?wj@R(m~+dr`GtnvfooHGVy|{(4@kvN6K- z?r8uf9ts?pqJ;zn8Qf+L{bK&Geq5+fT7K(Z-ij5fsTG4O(uW4*uuvj)CMCj05=LAE zJ*5Wqq4#mHR(i+QrR&;u+81vYl&;T8ep{PW7g=}4+@5%PuiQ$yUmS8ZA66tCmMX*A zs0}8fZ1}5;ZDb%mHNju(GVSTYS0&@87e&GiGsvWWB(n2O)s=ZA;EY%jC>o$0cy$Tu z)vb=g2|hRQ5n@xJ&HlWZZmct1IIw4$ZAd+w5!ma@_puQ1`F(=teO!PP7=&}PipSuR zX)hYwd_>~o=xx@$c-*ovj3StE^E0Oa{X*aJqz;%qdU7cm5>1K%9f9JDXKqBE!a;@) zVZr_HsU#qi)>*j7VU_;9Qe?f2DNojZv0mu4Vw!GzYkn3uWKKO>GtrA&C#-!eOuql(j3RiNw33%8pCL6N{UYLn-fMDb9X5cy+b)>$-YO;`>9(Zl#+q>wOrN zq7|~-%rLTEW5i04jeLog<&Nr=#Uf^o=L+;&+>wyb8kh=!#MS$c6fnHZkIOyaeZy3) zUO?d2PTH!5>i3#V(C2CNDshN>w-rWayB~&s;-9g@D^Z663|^?euKMyQK`oRJj`1}d zS^DW6dDKfsI|lTao(K(Y|H1T|uch{Wa7Z{Z3zuo}9S%eVg6=QNVB#Z#L`F`Q$zmRO z`m?;H9gCKWj}J{6iHy6Ab+)jLX#Nz` z+Sw^})}NS|*gm@!Wp84F{EGkGpM0JhUA*?ziwmiDSj8O0D&t!{iBImd2(JeFFEZBS zj-zcRp_OS#M9tDSHID;ZfBpIeyJ>!MGmI3eFyuhX{sIr#h73AanM){8WH03f%38R*xBYJVT!WB&wMfje=2FZJQV$i*MIEZ;jarxJ4iVw>!XB&^Vd0qHC zzBSFq=%@SWRgdC8pnG4|j1g7^1H-nsiz&TD>3yj*=@ zxJW`JY7~8d-BABye*P^JA1g}i7k^nb83wE8#B^S58U#jWW~j=r#?at(eyIRc_pZc* z&DT{JDj(&z2QZ6tp(-1i%g%*gkH2mnh{S+Z*tS@YLHs1zWU8L3WCi^NYjrNWb~7B7&AABK#KYxo@T0vu?9ixGs2j%xi3t6Y0LY)o%h5UMUn z@zTvr;Lo2wi38#oVtHMrtYV!1_*Zi2sQ`1-aVI)eOV4JBxTV&o!F_!aLrYCPwo*nw zP5h64Q)=D{pCUr89|5TQpIkyc%Du_pdT{X?yV1ac1CxmEe{DJUBKd2rv_1s_Qfnx} z{`;u-zfTTEF4+uH%zEbdGG_xo-sCD5-|#c%1WZD){6ry}>ArYq#_dV|MUU^b%ZN8$4cPkLc{>!m>;a-pKH! zO3holF3QS6g8Z17d63kfa2zmG@A??BbbWc;ztRPmY(H^nf>WaON~PO@!DfAQY%E^m z3SlV=ne)8s6m7avPE8GQ8vk2lNaM+S~j{pH=QXA`AYAalJcHz6)&fIyZ4~A!xbidh*SAL#c7!we*8A zN$obg@W+oIeouUkBEX~7Ec%Eb`$K&GjAcw-i~!SzMo;w#(Ikc%-u_NPe%_X$Yu^M# zrii*iF7;GaJELRSLMuVaB z)HBCFa~onIr9P*H7w5irZnlffl*7-?DeM~d_<8yGmOoHm8*zlZM6A@zys)u&Ww9`U z#${~xn;kqei&-|vcnKHc&NUvowe(Nt;jLM+ciTv0*vMIe$EehRzF-RGj4V*jwWlGt1PdZ z-(MYWDf`y<Vr9)*9)@&m?(e^3A&{WK{kr}G3>Fc)!IKSTMf`lQ*u773sJr%R7C+xC zScn~ydT)p`NA8hccc%#6R6eu>8gJ#XhJ$@ zal|i~Zv=EX$D=hD(f0kb46?4C1MxspN#k)ZeFQ{W*l91zlJma4m7MmquAG$o;?atb zXuc{0(>k1+HYLCMGJ<#5wlSFr$MCkprbK#@_egl(r-(SX%u?i5<-uPc-REM)6}b@0 zS~>2K$x?T!5T2b`Hxva9P>^CxSqAbN{#Bt8tVC0#UJ)N!c0I{4P?YY&C5d4w6y;8} z|3@3+IvW7Ed>oIUewFb9yB3O83~(Iv%Lq(_RFuvA_5j03-3x^&oApGnUviqoS)nE)?&MUyIPYGXma?>(k;=BSfB4T%p8{hoz5jgNeGTF9H!7$Kl( zAVHzuoE6o9vITAbJD~pq3fBL$Fa|=IA7FtUxPsgy-R`_$lfpRFZfKeCSH&UHQW|)` zTzEGSW-uRfnhgLbtA1-S>-6}7A7bdH>s$VHbt*o9?0|VjOZsM#I z@Kil;U7r5IAm(#NyDQG8vqSp`oC?fkJ<=F`?&dYH4J#K^@54I2uW;lHT}heNh=Raq zV3t9~p*lDTq2K@B-69$*ctnIdC{Y-PfU)MYoGJnDR2|{~{fA|;sE?svxxvDiEH%WD zR>ioT^SRnX_#7c#Dn+_nO!vwadyaoI9=hy0)v=XBi;VX~^(7W9V%`^A2FIyWOM~`4 z&e$^2Qc6{m9!rx1fQgDhA76M#2rOw5R!(|Ya|zRB_f7CR>eM;C8JhAvck>NVOyghf zCbwrN1HtX1EJL|rNC#}6Sw|KO9%3=|1T&4`sW>O@1mdEL9euY~Xhd4SW3p$mMCJFDA#-gL11*4~SJC__A^q@*PKX%{!}adv?c zw5Z6}sPdI6zfK&vQRmpM1V>iBX^_?Y_7w6ZQdl|pIn_)=1u*BclaD8F+n2dOCoUvt zbo>(g&_WYqa_4FjruyqDXoN#DMBE;VU(F03c2M7bo0O!@7RrWWyeqMSpK^tMc^##j z|Hulg=%o=223Pvo+S4I{J-w4&{J|(R)m0Y|JTjY_C`)~Bc5I#z0QY1*U7OISdW;D6 zbI!xhYELJ1mz_95A8>)sUjFm5Eer80QpDq&H*P$uqQU^-Nz!)i)!Nrff?@mHb$b*4 z@qB!|5$?|JVvXq3VT5!&5jRomN|(xZL1WKnH$T46+FgtaL}qZMGvZ1k#Io#Ps7ljX z0^RGJ9C|5*ZxyM)h^zRetg0fm7@b9C@UH+(6!0I5xi-Q4uNPqX5T$FyuZQrh|MRl+ z|Ma5%??d7Lj>0}6>PSXH(kilW^sut3DyyXAq1V}N+writ;f^tw13W^9iQhxaOiT^{ zg)JwPdNWe_To_l@)F9y4;NalDFo7aW?7VI`tD%7$AO+mbB^~H0ODLtvH08;B6dQ1-QRMJxo}$IM%YQ*pV`pRfcKXM!TIe# z^azTa>c3PU>+D@UTIzdT+If3(Rk3(gA%4XpdbL~O{=1j?e}@HJ3Q8&}@Mo*v_Fpbc z7VA3RUSE<$A(9ziD^r=2ru5w?m0*Ig$4yBFo)2~=iwj2(pM}0Ev|2e?#_=Ules)T* z-*~J96L!V8JEFexFMYpfQ+snZYa_&ti1XRjse<~h6VTeb+baZ8Hvz=pVz%W**ZU~K zuyc0t_Dts?ko!ZweoZ9`(F*Uf1EyZ_7Xn^?Cqy*xf066yh3+8X;&HfwAP++Kk>#Ue zS1Q{BjOWk<9gt$6KrAcXnExV5sHW6v$Vl-j|JRs;A)6bqAX4xD*O+2hn^`9j0T%{8 z(0?#K0U}B65Q=nfv4t8!)wcr&mcJX-zNBZMWB$ikpzk1rCLpBfw9{VZoVJC;?(MZ`*#^WNlSz@I9BnO98 za_}C-;v-hwy8nOewmG=}p4t2V;fCO#98SviuE&E4S~f-Xd)Rv5}?H{(BcZB#STP^#kuc@=G0))^g7nl(SD&sRkA(t2QWE|0xHx^G_);0e%Zl6NBmZd6-zVQg)K@nrhLB2bnD3ySK z(*5^Dobgq25rbLYHZ&)t!HVd)?cY=3fb8UpowBlo#~tSbVxK5Um(3WNUKjRNjW5IT zC*T~x!NKLe4=IH;c4+ZN9#s(x*U)Eg!#${(llr@~ndsnTJKiFNG3qR1DPA@fs{z}q zQc{@egZTM?t!Eb&Vj7eZYZ<=hL-+we+siC%>0+PL#eVmpeCWJ^iI)(QUT0PC*tJQo zGrx#~1VO6)Y!@CC+rP&YzwA{$1eA)hqobqt?5E9Betu0}pT*|)me$sNw_E%BCBH+% zEDOE~J1^G0VFXdzWK>EXqcrK*;sxbz@-V4yR%1-pU53|a`?agl0U7`Bi5`};AUCX7 zu=9qCL`oe$=68YAVAA&P_RdZjV8Jj^kMhmoCW9x92KEU6JV{m79s*2Z-CQ`t87sRq zU1qwuyIXXsg79(}fQSA;s0lq(URV}Gu(mN}@u-JaXLW8hU+ovJ%_EZ632$CZ{7qYPnEiX)(_tb~ z+UV|zKt%ulOmGuvY&ZajL4hTC_|fbiu0vJ(zwlgxk2xnm6O}jlFOPs_E>EkFoEi}S zByak9UhiOQ`G~sZ4i_|0e2N>kPKe+ZaV8|lZsL;>1yW>`NYsD_!QrhNlRxkdP1v$l z!AdhGnX8wUC;oe?)Bi6Qk~)q-^k0rNhADOwO;qPdK154BmK(J@rh3`_Erf1u7n2wb_5dB{mA&t*>s3= zmUr4+_SOk&%}r;^m1wLk)ue7EPU#*Yw8!y46_&u~em2{@0!8#V-75i8vg<%6`WMu|6qTz)ssf*?>7 z%I}%as;We^anEr$WxaFT~xFmj#$k-D0Io$W)t20 zX~GXjz|Fa^hRAUzFc6^(Z3RdJP4w!P1;@`-opw?Pq+bAE3l0DhSTcehhVbPh$WQ;p zp$7k*LzM%6N~c2uWCaHsjJSH$lZ^-Se!9>fIvWMQzlVNr|JxU!IJ5%7tstfTUHqj6 zxyE*>FzSaFoAnPNmUedCps}tx3ToiOoe(B?tSAETJsy}>di4hY z^4sp&b^=1*E2bpHmlt|{Y4iZVwvKeSg)o8UqbN&T+s?KR_sbktUs8y9lL*Ya;J=h9 z9J64cc$iaA@BnDK{*e5VFw0wLVUB=E$e3PvNm9-#zNL*-$*BVopG1 zGvKyCRRZ;&A0ZU;pF=Ih%5ntokRDpVZm);$C=fE^%8_6ouKRk5g#!Wzg3~X$1)5dQ z4!q80ERL#5-(xqt+jHWk0GK6Vab(t7X-l2Y1yutp1i$vG%s{WAEUMp1N*lJ+mg zyZc#Q>bMjZy`X216XXX#^J*<+o7du%0Ss_OdU|>iDyo+t`*OP(bNh97(fMkxW);M! zX9hRhTEk=w_KRXbOnh_a;^rnoDvYP9Jw1{}M2?`epl1UqJc1s-86ZYo;e?j<_V*zm z+&r=v{+w|83?X$JxG$sa&ekZi-I`Kgkw|2zoGBX`8qSz9)3FhYc#fF>9B}RUNw5jX zr`-U)V>aKNj47|qANbUaA8hXIblexec!3c1{D(K<>!YT2q-k)!UrI{xF8+HTx`+)s zU8nT54sSpZ%Gk%0lxfK4m#IJuXpnt91H0D{b@9lswWY* zgQgi&nJL%nHtK66x>$4s(~|j62NDP0EQYDJOm%^Ovh>kziU3l}e~@z&{1F1O#-HV) z$bpniR!@QP68A8D%dYzC&nN~3Z*CUvp4rtd-$SGu+`AqdAVDrBN_~PH1S1WvSBRa3 zpVPsyy$-UWQ3ed7$gyT*oX{@#OB_xGrkRFN%UHbE2K~FoZK^AkZ)f>WPEMBk4R5(0 zQi-CsEXKGs?dV^OiQlLLm0g%>ASXs_`=VNkx29-8+8`<1c~zBR^j;u@0PV0|1NFMU z)D16*BMhu^REWO5e(mv)$c7WURHa{}45)f==~T1YLO{QW|f7V|UDMpW$F2ZG{5)2_04o(gbE&##x&t^fpQGhu2Q0hLwO|Zx!qOedV z?xhZoJ3nTOmMOuFl@@js2E}dwv!vYIN%0C0SmlbH$tFfa5j+iZ>9RV>xIs@b@2yY~%oQmpG{#}6W zn;b-_X%%HatWr4``9X!yTaD0p{J8`DhTrG1D%s1 zl94HC+)}h}N5K*0>XD??Av23%X3e+Di@S2{^BMRagW=tL7UDAUAPw!B(#h_uY|omeT6^5Fk1hdC9&__%$X&dTD|Iz zjUITK5I=8Nv|sA6{daiU%+Hx*bpiE49|<^oV2A&zYn<6iEF+@pL==}pE7}?cSxQ^H zW&-&SPF8N(rzBJY;S7caW?qN6NF5Q6JS8yDRJ%CJf#sOr)v!PoErsh`govQ{^Z z1oI7g<>nP~!I)?$MGcvF>K%s-ql~m~Saxrf-u)>(3VPy=M19eE|L}KG3kBrxSG@8H z(B-&5^+Lq3_d1WWuxxgaoh_Tc!`z(X+PeZ3Zb~{rG!kIEcH5jyBMfiT!sH3^j#-=PPM&IJX> z#8!RusW zEV86@Y0pU|XcB}zGb}k9OE=YIUlmA;XE_NLk7#ek6zW`nNkT+mNQK~azW5DmN!>ab zq*Yz{SrD+##vT2Gc1pLo*r+RzJu_c1`;e2fGh_&Y&Llk6S~*Py(f9UiB9s!9x{U{fp_OK+rNJ8{)mZGDz^-2ea^8F z=q^F9Ap(u#cJYk!HyIw}4|^issbuVsQBo;ONKF8J(=s|?R=Ylx_||%E3L#7EX_a>A z$DEmPk$iw;LM%@jj?N0FhAva=)~dy5=-`2?L(5VcLObogwk(mJrI>qB1|UB)gLwx4 zX~cdrf={_+h~X$A)u-NU+7(D@RZyp9FEuD)^{`}(?`t=c@YSv#yF@1$(QZ*j; zep^(wh^Gd1n5frwyi*=OW`3oOnFaU61772-@b1B2Z_wgaT-r^uR9?-v znP|{!wGdpBp}5F8S#z@taVljsJt6s8DGf2s300)CPR9}$BkxYT{h6p5rY99z4l4kQ z19gWY`WO}ag|97~W6a<2FV5?GSU5As^llv|&HkbBUl$f=ObrjTqajh`=wFqaPW89E zb?gpv0)9GN_rT-c!PS}b#rN}vEAJP59@Z=z55V^Kb>Mya63$MXDPy@@P^d!(<6~UK zJUqp12xLb~Dqc9dm)EY=Ou9?%C8I^Lkaj?2G&Arvp_X(}u?48WtyRC{=WNhKotVp# ztAv4jl~3dM)Lk?3+T?ZRTW_L&1tboUkOS;XS7}sbzs^i4hW9C!e~)r>_Cg_TF{0Y8 z-groG!h^S#7cC}(qKjI;rEKL_Z?CqEQik}>ZQ|7tLxQMpWh47Sg#^(e=GC9y98Uv3d73eoB37cwJho zW!xA54}!;Xzrh%rua#jY zc5V$qs#|uAYX-RbgY%J6{gf6kbcolAMxTxZuwT5$+{{_dIms-+)Ehf@ee2$Nvo(TW zBH9=g-NccMc;UGpWtE9Ty!6?Sea>Na^G|AIXSN=FiNDebXY;rX{VJ*e8e4RKT-Ed# zQmWf!#PYCJG;J`O9N9FMfxqbMQSd%WTDAkNhz@0A{_Z$%Y{Nyi(r?8D_y;px(I--o z@o|Z9;TO%4xk==r{{F5>EUAgMT;V<^HIa%>3F>aVxRLFUB~?Nem4TT&1?*Vl=g&d) zB^GMV%?wlvTvNIT|y+6OGP~~dP10EUt!kjV{q$Ig)z>{_ zgGfR+p-(MfwvwaRNR0RvK-|ES+Xk6cTnMN}%T9fuC7MegJF2?jI(S)UCkFknn1hsD z@+M;E4~)QYSh^TyYlC$4-eaPj2(!N`)4Q(5oCc8<{@NV4sLpNmRP zNgzTVSviBWr#BYmqFwilU~Y<|LHKBkn)(GxY5<%>C1Fb&SCT|_2U*e8ZmztL=jz71 zh5YE#LrL^neKzi`L?QWHq=HI+_g4sLcw`FKJaXlW_*8tgy@g|*=J_)w*3k;%U9pw< z3!&JkcJGi#H7MobJ>1qpatXB3Z}F+hr|$$Q`YIR z*|k{V^Fm*6bA05-;xXpNVi;RLsJqEibf|N>>wSY?LD!VvJ#3kk1u_T6fU0J)U}#AD>q4_2f=@+* zBvG;gW}DB06)*Z1>j}Vye4!kD~aIPub@=Rv4r8{=`=S)ARFs4p*R@_Cbw71(o6ZYu=$KnQtXk zRCgP}QHSmrJMV#>@b%o<^3V$XWxVVcY?Ai5pbh5&OZYJanQ_N|)CvVG1Y;VKuI+VU zFjEyqFCQ-=BGsE6-CVn*F>K20%wWsBl^yHxKJC&lC=zue=kav%?!_G2%2vCn+4N>Y zqDY=%0%F^OL=~rd`1`G*X+DErU2CjGZDbu48{H9;M%sMB_pc;UL@Lf!Q|^4(N=)6{ z)JHrsOT`x=8mRWV%-GRT*2jSTB|%Zg_}1@0%7V)Eu?z`|=Qa z4!ae@ZuqiTUcG4ZDx2!mBPe~+HSb>Ojh-_}|N7dxUc(JASktKzeRNc0@aulrZx|gy z?Ngg5nT^)x)ArcBL^$n0dlsuEPeMTI1zxV7pB;KFAEDPIKk;1k92tAzOXgGs`qc5k z=!H~JuW93w-Rtrq>Y)*nVushRK<&^HwnIw{4Ja`2_6;f_f6#s1ld=R6vBKF46_()F z+}H@PIq;_cHFs2&3f5cfRUuD?^iR*vj|_+5MY+2XL-UOXhm`+#QQd~d^H=h^Up z+ud55d}bkPQPS1LZmTOs=yQI%?EN6 zlF=CLTk`~_{6%8?G!R?u3BUA0XA3o_RBirsz6x9Rg@IA{NWpn3pRfePYMy3SM<=j@ zeMyhA2y+2Z>H-q%AaUf*SD~d0QsEWzI&k=sset`pHT{pMEslLSJhOP=L(F_*)sjzM znl@ZefQrL2)Xt|V$~Em?DS6iG{YN?35bTBaSJ0OwCZjIU3r6Pm6hKl*_L`|c-^8)0!1$M?mtpy* z6n`{8Ee#>4Q$f_yfMn2WIVA^rZb{N5HTPF<%)D;7DOc~it3?@xM{R&^|IU7Tb+*?5 zK?@2Y`NPbcJ_46v4?V|v}2hIQ4+zYp+gf0 z84Z4}Baq3m-FU*tYH?0##9tAa>+c@z98i_NqUsoG}5a4$fEd0 z?8ywU!be$BT#4tZ1n%?JBNFyIPqkh3F9+Gx0qI{bbrR+=J;=yq@q0Y>=LJNT{AIQ8 z_mx5@wqxq<2=;6tUn9t17SqaVF?0iHGK|0P%lmD+IImR zNR!v&w`bF#XA>U@BL`|7&m&|B2&fge7>ZsUKMx<4)o?N_Zy09(gH5o%15E8;1#`~}_JmhI`zd-CAc>2a4q|M+{!N+O?7S~cj> zkMpdQZLo}Q=Qv5^Q>1@|2e?$T%w5~-5UUVY)Xs^CrKF^2#HNrI`X=(L-?4Y>W*2C1rXr+{1kmDH*$u_#s^3X5$xtzSr%c<$toAlU{IEr3abEv=C zJ$&vyN$LD>j_@%VNU~U>RgkQ`W4S-DVb4YKguei-RU!M{ zha=cVY1PmN&zRt|fny^^gU}I_t&e`J%a*^k)Sq4K}l%^-LO zv7}AdLClgWz=k|S+U%C$_;U;F2qCJ>bZ=-n(CP__<%eAB+*FL#BS8s;e0wTRhv7u| zL7Nk;E3R=}zv>WfmQ%0R&#n15orH``0#qHo+xr;=I*D59F=%5g#IEBfRiH!u%g0dT z!hg{U?=Usdv%+$g%znWa$=TCQQU2y+s(SB)m?_?}#5reSRYF3*!I)cUhdsDIcfFD# zISeVbI7zMiF8)%-ERH#r)#M3(v%|tgdsoj!rL^CK_zp-A6jUN5<(a#Yz%Hve~|Rf%$$L{U;1os8@V-?GGSO&P~Tb&iUvq0Oit?9_l>4kPR(Xe z3t0up+fyn_HlqY8!a|%04IVqr?u`@vwX@$OE393ohf33Lc2qp_aqrrwrHYE#&zP&uX{hQbN z)nh3`%QJ%)DM|}g`UEaBB}|1=6ADFC+GjnRCl{Yy_4JW4TL_xURG6%5JO#bj{3JrJ zT1<*hiyH3wq`dlS>bJvSh-Waa{I-zD-7W#7?8|3oK?jb9)o(U-`W(BX&D+WHL6R_= zu{aLJqQA~BMkZc5Mx$&@dTVd#_*p+UZlpwpvHN-~S6v8-R)c^Fhj~qCBKbc2??{%z zhLQ!rHOh<@Hw+f&Je-Dn=GvNQ-fwzlyigv{;wqEQ+)Ea#5zcS&-}TihL^fbh`wzX? z?>=#RuTaK3olbP*isDTH7UuqU!t6S=p~$eVtr5ay_r9}+!Q9ea>RfjUm8Rn^Gj(h) z*aSHXiTuj$Yt)Tyda!+QdCncxqK7UylyRd-;Nz*=nyZzd08xKksk7-*KndFx2|>oZ zVVezXwoPPbzCZLco`c1Fe)z8faG!ucu^PgISMlh}?v>iYRCoXkwIp>T0y|{2f=T%m z(@;4m_Ncyx6D;A_sU{4-v^?MNeGqG~LRP@0txvnyW+ccVe0uapsUC($pDu4?)hsq_=-@(}6C-hJU((7GY#CiqBx#T7?5YSs*&|?<7;zk} zySDq9&-uE4qh0wsdIyvC{=ys*lL^PhR&ycQXLWJRefLWa4&13+3A*c=I_ z$~d`U6RSfZTa(`tQ#dV6F4ezH1#9GsM|b+^7@+P(EcZINFyeTbT~#@g!e{M&qAEf^ zD(LpcTvnLrJXa^2^BH5R)f=;aF!@_sFfjo59JU#83_k~U=r`|mm&>Ol@@)r`nFSbX z!PD?kN~t;3KQD`#@0j1tiuZ%F#9yCc==t0q)cP$gC`Ow zZT*{=*kOpJif`+Kp09-8T=v-G{Z%||;t(+d-yoE@L>i>9O(e``saxoa^-ry&14 zz(krbDcuA}X6BaVHzN4LJfNSyTg}8uiV2}E16!ZC(Skh0=jLR3ik1cdz)m+~& zMq;pnk&tSuwpz&b1y*a^(5yXWIj$5&Mq398)WDYqsD588`7FCr?MZ{Jc$%Jmyl@;`Vk3-!7P+NxL^h^4%0lTWLdX%fk`0V5g-JIC1 z9JO6n)el)Dk62M8&{@Kff#efTx}EK3!oy_hem3VmLK+_?`zUyCBy{&~no0nb$#!FL zMwcYeq#&Ta*l+Qf4JJyL4#$8fX}GYLez&&(Zm~46YxZU9Ki5|qye5okfRRfPT24F; zv;w-^oS_}KcSC)AungoOcA$d`i{9@F7zF%}1Y~?y0m>B@V4Qp^oeEEuH*UAqg=_}< z8Ka}pkGVe6)YtIkvf|8obMTxd{Rf_M*N7`DMd^W>>E7(QfDc9tQD_Hk{)1AW$-8p6c43Yb_pF&+7QxI4f9j8itw$K441^;* zLYB_#gh<*=^vY*(0nVz<^Xs}J+m&&(jbJ$2%rDjq*Cjjo`4dy_h^Z*s(J!y>;^nMe zBxz##F~Xw_stj|0Q@BlxWXD$MKijzPAzs=FHuNriepAp@ z%vS6DR(|LlRIYvTX?a#s+!on{jT0rucTNBV;0+&hB1?yDYr>3!duv*_#j`drLJJ0v`AD~xeK z^ImvBqOkJ2_3tG!2QS&xL-&VxXEX?oTkN3zcIcgPbzx;=l-^437=L;N5ULk3lZ;4o z>boLD1U~hlYP+jz}!)JiPaZ?mPQr#1GB= z#S8O{Hgs6V`|m1Zh8Nl)xI!FQek&YU?62}BAHPZF)03Nj&i$6=P3Z2UJbf^_Wu5_w zQtG%K#8idM(|KpXserfi8ZBsm2&Ag`sX@c!trjsZde7Jx@$rD~dpqn?s^S&pYfbSy z9N&ZIXG;c16{gj2NHO;303QX&x4c~Uo;`2r)p8qc>E;X>mNV+a`q*z>DZi71gSc?6 zGzeOAS*4SNK@wuc44J1+Fy%WZ>(2w`x9BXI$I1#*(zy|pT#$jz>0CBhnseg^3N0fI z8jQ?O-<5l>S8DcdKltC&`GudM((8mGfDn(8hU=tS??@Xih#~1cFgami63#je5SM{s zD-Dp^ACZnD-bOoDC9xxfD{VeZd{*me`dDXs9_$JpQ9J0K0N)%DRI|&PI^EQVj`75S(-RN^8Y;QE)Ss1U!z?0t> z?>K#mb=hnd!>;4TpcMxzN>7x7j__U zH7`qw%r@YAaz;wI<8{d+Tu!a9=h*h$1rx>QjKxd*)p|0qKdc8eIV>Gfg*xy?(m8C{ zn^VmS1#U7)JA*I6EVDfzU92WlikTh6L>4vfi5@|P&kTo;$RfAB7Pb&+GHGbt4t~y+ zDAJD%5f>MuJH2|dy8g4yu}**<0L*9_kQw0?86FM3Tnyy=IEgun2Y{UlA)!s`j>>^* zh4cz1;n(xzMJ;I6Nn|u~EpJ6hZ*D5u3g_TtQm^?HS=}3DFW6~v(f%S;5=Km3`>I+6 z$GzXw_#X?5kCUSm&;}TW{?J2sFXyFgru+28oa1cqI2a9D^qw&#fIT#D_))=Dca#wE zw!&|Qz!cFa&MWBTTc<0SK<2Wo^oLrzv+AI5*L=I&w7lsfNtHXeHMLd=Vm z3hJp^73}ob^3Ja})Cp?G=NL9mr0cXR$B5~t)3$6t7RK+bKGMm_{n$ygxOyaG1?sw$ zQ3Bh?j_Y$>z3r>k>_9J3GXw7Jn`YR0pNYstiii3dC?|*Jvb^Hg>LcQ}xDB<%!l({E z*!-l+9~Tv`s+7UX=WN@jzzglIi;2(8E2fP45pGTK15c`z8ctHtGcyww0lTgfx zO0in5l;_HZD%J`bpPdYLcn9TpCUjOy>H(_?gIn9X@yw-$f3h=kW)cDQB~Z-jG3wsO z?>N`KA2Jxw&yX20A?p813_o`Q-6zfpDMr5StOR1`yT&LjE-g0BgZe&khF+i8{i_AK zeZ4my#E6C@-Swv)I?vEhui6+`JC@-obGg{hp#uvV=1=QW#;w8wOgrLdQpocQb1qlq z-}Df(2my$MW#Jp+de0z{`@QBuhfHvpg}!{-UVqiJ`Ga-*3``56ownfsIma%* zUq!^PLS1h`9x{&Kx&u3F+eC&hEdC$5-a0DEw(t7|2@yrOKtd6a4q-sLK>_KI?(QDC z1XMr)>23u9>5id8Vn}HQh8#k=q-!5s_xx4^9nZ!ETO4bC+=vyUeb;WeO;*Nx2Jp)2{i+ zs?f^N3=LV;}6j?x9+`h~qUbY>usKIZR|-%&#J# zduS^J6btDdZk9hn|Efg)TYnv10CiD)?nt$uMJW=D>Wq`g#X>@`#Js-a2e^!_WussgrX$py3s7YVEeEC$p@_UE?RiT>vEl^#UgqoWtbAONvAt#W`epxk{Lt1Ifuzn2_? zh-6?U@uVh8YKRaS+MuohOSCWfc?*jUJm)$G@gHa<#z^59-f$D<6aN3$WJiyLsJ~e} zKATXl%G?BNiAzdRO%72Fjk_GcfxlpyAMvoCy30yfu5R%7(R(r11ASJj@Z-gG83o6& z`*(Lv@FzbD02@thxzE5Wsp&A|ybE+y?h{O_u;OX77tdZxRBSw@cnJsQbIjx*ALkYs z{*f1HjxqDHpNiwPn3&Q@tYy@eb*8{OCK9WFq3=K_5uNLS=Oh*vc~!9E06$Ru$l2)9 z%ADA;j9vn#X`1xcu7Zg_D|OPN8Pwep-_(mmZ^h~QTGuGw4TCWx-`V;_d^6P+lwK8E zbG-2tr7ZE+vfTLy$-bZUhCfDWwF)(43?eQI{=&3(@6K)iGUVmsgzl%{!{1=ke5q9# zIsO|jM#Qx9#w+ENTripf$D$oE!UW<>R|0hw_FVA< ztG{-%*%0?SNKQ?S2y8k7^O&XLY!uaiE7_DhrP=1AUv$s^E-{;GDW=KeQ;~ff6rn9R3|-^Nh^;&O)ieTBcNnocd?<>4Kml;i@n5P?1&8fPED_b`fL^s0J<4{asi@9NtC z4GovDv>qDxHl$Xyr|}2ghl<|6tlh+0df%Db6xdR@yS`S<{$@zxN1%KzR>C@cFWw-A zke0Oau8F1NrIH3;($~?^YCW+R-HT)_5+@GhWY9pQ!oH4&U=G}gX9Y2&qFz@xwv=#1 zj|rL%>sBdi0r#WOvWzJ_uop5iL&V*Nu!A!*zAwM~8fNs6-d6)iraIU6Y~J)%69wE1 zO7R+w%A|~0+DAg#7;?3{I0Q0z55Zea4C$(5B*DGHY;!KgEjz{6N*F!m4wJSQqIs>g z(&sq)*(Ht+1JzMo4rNhJ@TAEMc4A>wfIG#@;0IOOOQ1JC2h zLVCR^i)XzJo|(#0ge0&cESJ^0{3L1?lr)I_w%1C|_D>%tTRob|GIh2?QCvd*g6D{Z8$UQ>*Vw^|*I9jJV&(HfhCmwI5m&38gjO6?Vd0v- zN_a>IppxlWvyRH+qCIOa{b-KP5l61U+#+Z(7ge~z@Y=U=aJ5PmYcGU@ z=!q}saYezeV#OD0thDWcS4nn~97|E6A^5(V2j zh?Gr`oVsK_)J5_ysSALHR$yNuPT%=2TZ1;Oy0cfj36eA=R`?%||J4i$*hVAU8ou3u zvFavhGdc4-<6s)U#;}nMF|MyGB0XiTAa69K5++)4(DZd8vjMju+&-3~)-rGFFu`Q<{h1M>Nug%TJXhO9l_m?e1XY}w#K{|WEldRYG zRJ@f*5z55~Oc}Kbe<_N|nn^RoaH=ict-GI)sk(oOYTnTmV7byZi(g^q)c$h9u;sIto$=rO;!{+W`>DN=>v2nekv49iXq$Vw4A zf8fph5PH(NvDEkQ*x%X_2gueN$pAn}_LVKHGX|!v1q1EPJ3CcF%OJSB`zF=zPze)y6< zibeXw4)GJdH}vFVn$&_#r$S)r)$T`&9H7y2Je3D%LN|uV-YdS0g1FSLx%(=H7z#xp z)(o0>FOx6KL~#{ObX=OfHTZxu9%K?3_pYdueE4b72`%5G_CNtDp@*p|mEx`#{1 z9Akic)Q}*cNAvRs&RMH3_A3oj9Xrr=0&l|&)rBF%ECYE_ld2i1=l(4pjNQ5^+$Vj9 z#0@b94y;uRPkJ*kQ~Is2yJ-tP;)R5uLBK*xH>uH&WPgB*@9gY&0m>t^6OV7)TD?Cm;rCsN zXn!=A8Hc)(R9NcWZ_T}wD*Ag{M8{en4HCKpx5pc>pojqU#W1H2N(}B->#o;aH}kiC zrBne&v$IPF$y{QSQhuC?AIsgv2spy48O=7p1;_$_n|Kb5pk!N@i8Ebh#)!z=&?x}> z5y12d_pm@4I8f>y6X>@(!Or4>N7#HBH7?#axStu|`|Cq}+>Gh0feU zZQ}jKH~c#LSBSJoOV2&@K(xO<0t?9yc{$-0mmZ>wdczjJIT}7<>M%)NX1V>I1Z7Z4&{gSL`W}s#%B!iV`7;dQEQFyO zb8nV7@Uzmzw)yzN4D*c$dVkGjJ+*38_86x-vXOX=8mz>PXh>BxtKuxba7|4wRx=4*xJer^=LM zVO#WIPQib`McSw4PB%7IC3`RcRY?Tvf{O3uDNJ|jE3o%`*6?M9Gbyt6sO6d6n;-S8 z%uD>N#){*AK<(T^;kkIRRR-$RLSfyYQ-Xg-a4Hh6Ty0M^_>K30Z3j>0hl9L31dEj6 zp%rO*WnusWin(5$IIN#lwf6Bmn`RHxvby{vkIWa@tNuLhAZ1uD?dujQg*Yw{kn!W@W8kt$c80%{T(43!k# z+H$1kTC~$C1zh9@gk@$@UR_MJLY^K~M7@6mTJzE;TcG!`ySr=q$O&FmN2{Vi?2nJ8 z!2WVjqsR2+>qh>k(ySIMe>qf%kBAH_Fxe7g(~c^8C^p#V4`!6imkr$!EPz|O))1>W z$QEYWjqtWaywhUcm5h0_ZMqGW@P44jd=8bSBX^rYfgtBEwY8@KYhy8&Kgc+4Tekas zm53VU1axrIoIkBysDI?Kc#7@}j@|cHeOEq!SflE%dDk7Br zx%|>^ai*%jBpvV=_)~ns`vWt*4jJI+8=f{!CgZujPnmbwn%yKFSg|!Kp{|psnHkisok81k2+zQW%bDh}KwufY4{Ub|aBpObK_k7@q&J0m? zzvcughPLYVre9Ohi6t6&ok?_hK|yhLbgNn^uQ?e!B>FIy1sCjE|Kahm!_UT_;A|F(y?U`@=7RLeGh;L}lMPoZ; z#btv&Da_BG;h1c@#f3o=Rod z2KlRg!FyQb^2Poxm3smcDw{q6#0i)CQn`R+Lih&6`Onbq0yn}Je{!bFO(fVpR}~8g zluw0*$3YdkUGX<-w4IFO4!9voO6*zay#>uFp(3R@vZcRgDLqZiaos72mj(#4j%T+| z4cFg6P0d*tE7a)N>rd+OUOsd7az4??$9tKFzq%dEYB(GR9DM47_x*}Dy`2p^<%Z;Vpq!xqI}#R?idHv zAGAl)H7Xh9NIMR;?Nz}&P2SIn-3LTqtr2> zmk}jJl?y_@sbVj#PwL}exxQDcs0Zu-!z7S(hXA1fH<3__+lyMI-a(8>r`jP(5Aos@ z+cL^-zkiNF%n>CAd-}>38RHLM6`56CUwLHkd&eAQ85^Jw4cxH;(41!p=?u;8Z&8XX zabZ3wZqznpJ6x6t%e29Hrkv6^Uo0t$^P%1N`F*Zq+54BD>IpL6TUO-`MSwa)xt%+g zhbNy&XV^u$S?Cj~55pxLTch9!zYnX%s(QXIN!R_~!@b;XL`MVVMYW;RJ=i+s9Z9V8 zCNQz0kfM_1vYnNEx7hrkMr60={^wlBBh;r(ui5@djO0vjwI@|}p28O9Wxi{S@<+}~ zS1EN#klu-x2vm2D%k0M;Xr+kuA*xRx=q$|L5?U0OtE71Nwi3!!F|~>=&RVekyi=_h zGHg@1`YW?$O#0^MrW;hmc$a1Z54|qWba-YhY}cw_46kbAM*=JT*jVT&qT zAU^?peck?nnR^^k!PH;Bjqy~qrYDzf;l(x-I4Hoa2OKPZt6EvKFL{rCNk9R&;>kc$ zgz{huW;B%+yN;)Mlp0sk0>b0Ez+3Hkn0T#_cg3>SmemOYRH58ePiyil8dT?yn)Pr|5UcRC7X2P3h##2odka@0kB*A8u1#!NXng3PMrLP)^QT5Wn+KH-MF zON`Mci!aMnqO@u*^6n?~39-j=C-rl&q(@i$m)oE={_P=9FhK4)0GJ&wolZJg;6Im?DoVhWSA(PTyZ!^~x`Y;Y5xv?*f6SJ}{-vmI(l~uBhliVg2D7O#Q z*-ZNlc|`PO@@a8{q~WrC#>;nP1@&*p$gb5VGnDbg8iLbQeUPW<;z=tC2_n1KWz#|I z*H`1kb>6oxc`a^lzkeXW{$$C{DE0bvL>xhzF^6F}k(|fjIAtBo01{f=^T6W7@`t9C zn~>cJYG0h}fu5(F1ey&F6I1#%$HP^gAge#z`s*VuxT~$Tw_nH2E@p1H&VCow$#f-} zQtChY!4=ihTm7zvvH>04;6?tCPYv&D?K||wzq>iedD75t`hWtiVc#@IkY;;=OQ$Lr ziLY#F7Y~$|f3hqlwbAdePj^RqnrgYNPa$5lv!|q%pn!fls_)?%l5{P1@bpJmyq>iX zT}4r@Hc|@yl)@JYAHmr~+Kvn@B?{Js#pT3o2jBiDf2Jta9?40KrpR;I@ti-ak%%QD z@uf#?&-+ujC|EpzSAgc_K^(yOokf!!%pWAf_xHAUJ4V`_M@r`l?_CY;mZl@{t5ggn z!l{zK5Hl#V`IG8H*sMJAq&Z(D0x1`4mBNzILGDMU;1;5I#d=E`d$twr?AzW>OPO)V>4HZd$i z8irJ)Pn14FoP$Qu^L~N;;*oF_;Rt78EO6m#%%7RtL;1QPj3EYwr5< zJ=GdT0`J5zn5$+sx4~}*2D!L{4a>OumlFKmCMTA0j*9KIL*jX&1y6zSvTtR3^F->^ z?7eAS4AwdeKE~yOKF?~1CvZdpw}bmxs)_IM`WUalVGb31mHL#3 zvG1Ky^C$qssR#$lotJ(cw=suIm5e$1%cc#_&EEvu2D998T}kad#=i6H4VR z4s^Jzum*c`!!kbpM=jsEJ-GLAWc)7{Z-H6B9$Dn$VCd8=WY`;zcd8NHqQPtK=7KBe zTw0BotCZ%#(~nvbb|Tm8{kaS%#th`2jHytSUFLv?oE`t)(E6k`zjJaY@B*| z`7|Ijh|wT9VD0OyPQK*vHu%EeARD*Sm-}Ua)R8*O%W7x^^vNR$hX-||lWVW!eB@WUl~hO$$APm;PMklOEz#B(X$h zx?9FBB?&*`6B}ZK6uP(d;7SWul4 z@8_YNVIcy|^_6^Hz8=Oe&d^cVfpu;4rEvg(nOaqA-pn)M>5LS`8L(Ti)7$#D%L3<3 zskV$yJUTK^T#|gYch*q^iJD0fy5P)~c=BAiVez>PU zjrf)?mR#^I){Yl}Sm`Hm+0z{hDpjbGElO*gniLDQl_14^_UxGz{*SwX8)#M$=vsVJ zulu*r`Mx4^39&fX%{#tU^%@$jEeo#1__@~hIBY%oCcXT%)*%BnJMoE-Gy#0dRn}6& z!Y>)v9TQecC4Ke%P4zb&x1n~kD?`8fqr&M{2_e4vb{Y4NDe)j0uQ?L?Y{m-;aPRr^ zH9_2!$c;5o&WpA(8?^>bvKR;I&lsiiDua=qvELwOx>AZAO8Wn*a3;;qa1HA2d|vc1 z*o@ulZk`6J;^w*MG8qx$z35r8-$jLA7$Y`ZTZL^$x&!OBH-FuAVcM+={~YV{1%eW! zBVr=udj99ifV6*lTyA;tO0AwR67(G+E;Dzsj(LHT={_{Ynbm!S3W_c|tpo>Y{VT4y zYRbf6tM^)RV`YDCVz7z|X4<7=2!-SN9asU-T9%f6Y?}G@j$^xLrXaqt&w6H;=vGag zuTRR5zc47hB;&?!3pf*vn71GBCvdkFPcF3`Q9BGWS!~ABgmOpXS@|#>V?iY=5i8x` z{v#5v$@jfxzG~%hyTM}`IQM3A)0I${RV11MANKYJJ`J${k2g@%!l~Z%JEc5>0;JSQ z@?Be=Zi|h>e~I<=OUjH|b1)!DA}P??cr!8=Qh#54mCDi{N>4ZO-SYVyjJSHA&c9Ne zG_b8n#8Ycz!KzlKeCR;Um?`_up7RWvYsJLdjSz8Gi_B9J7cK)_61t@0Y0ElZ)h zwtf=+(F7+w>&y4~9OA$7s>E%3lR$mI?j%6WM!a1i{CZW7BDGwo&7$IC5NNcBB9GS2 zWO=r3{6O)fT+tWF729}|DZmw3XV5HqSrgZpKqcz)dNX?AbChB4P@4eTV^5g6-ye-6 z}x-1%esaUqATQNlUtlj*uctT2d88aGtA zWk`Q=Oy*MZ$&>d0Z}SSVGIC48WkK;6tQ!6eqqdb4SOYOlnLL=3NUBmx$xxq;S|G

8}@|bE1uNf!#~pX`oDVj1dGkvow^Ic zfJX@fYFqlYT%d?!9@pmfHnebM{GGpk+(N|27fB2Sy(E{YSuB|+QohKsVJX|%Zgu+Q zbh;SOA1%NL7ILUkCuLYAM5+SNpb3#vbY+}&8-a^Z2NFk0Md~GEbk;}dU5>qf)g-e6<=-*<|vF}V>4v)Pm{hG7AFvSPn{lT!@Dt3Zsx9* z$0N=KoS)upm$6DXVbWaUXJap1@vUO0`g5XudfVHAkxC`=y4Y{#Gi@qNF;(0Dd@ZmB z>UTmCrT}v_-r0&r!)g!Dl=myjjO*p!`h0WUKoosBG3cAH;}ttZ0;4avs;|Xn_mQ?T zTC=lDZYirNaVHBOX!+#iu;q4ee8EelWRU(I;qpF>eSNDFqiP|F_>^34Fg5r1<)&rm z+t>QOpO6cC3Q$Oru8NJrm|!wDIRGtJ%hyc@1|!k9^mC-COsyP;2s-|om^OM4V;UUW8@lv&=N0xlE?8KoKi zO{d9Z4qzDIJqn4nR8Cj;&StzTNdBK)SL_Q$Qb>wUiYYWrYjWxDpY71GwS+O!gXTFl ze(HDR77GP6o{ClDXFymOW%Bk56LGZ2L6RGq=%4qzq>8t%^)43+dO4YrWk}S34A$m# zWS9^xpOVEh76>9hP&l>v*kERzXPG63<)cfz1{p#JoUc-92!`)nAnWbo!&GAQE=xAr z3kR|)H(dED(6alNO(^J(-^FZY_+xy*Xo=E?UxWT%1x~=}aP32>xE!ep+MilIJ)^CA z0{0u%4C|No8+n*&)i%hRN(CC7d8RHc@%zFXH!2hA_h1OUhe$U>-}WtOti)gxd7?03 zH)WDSFLBu{YKD9@^K(c2VbRom`ow@k6i7WR0-FRp4%7{Ks- zh>z{jCyTeJ5JUiqqrYMWvkQP9uC#1yL;%DSuS!qWd`1msKw|q>TUaZu<6-kZ6M;~E zl&_MLbyWDioXpSm3Ooq;MTJuoeGj8v|APj$cFRD3Yivxb5)jkFo_R$?FdB16A37tE%U zrFJ;&aNOR0X!$no@c1v5>rf$iMyznoAc?25ievsa5l3~G#sGh0u7OKvn8@z96l{H% zvMx`f6vu#9DHG8Nw|^VG(I@yYpC`}|oRnV--Do8#x6$@B7xAcY4tao z`jr(;n3i|(5!93w2eC5Z@lTArW#+q|%A1Rr8NFRp%ke;^=L(Oj1vUZ1M);(-{ZLPE`$;+78O~ACN-AT>R|}7_$Y8qV0(9 z%?fEY=`2o+Oqu~qqTOYM4oLTpMmn1V-hybhY@Q+3J|}l z8ya+#=~rIpA_!a-8L{?INGJK=GQZ-g#5C;GVRk8aOLtTu<1)GWp_-b5B&CJJJPC`D zNTBfuYXFqA;T;z3KUNqsuJ{cq(ep%hb04~JF`V#IBO=9l9lIBnUO2jkBNY_=k)i*< z5qx^c$O-g<76lp*A-M`SzN*lNyo7XdSWAA=CfnN&KuU&9`W&15pyN{*RT7UWce4^Me=> z2#fa$I6tyis2k3qVCoMU&Y=G+F|px(`d_nqi$BFCp244jri=>i(Xk({+*E8z<7=*C zIUDr4BDdz)xV(5EIGU1EKQeJ_0-ODVNMej!Gw5%5_g*OaOB z^%{`;l}j{P={eVT!Km)xIbSiHKdJv|o-=q=?^B07+lF$kx9LDhq!mTb?F|t?`7W;G zLMbTW&U=FIl}`@O9N}K*&pL(^Ft?S z09jaNWy^{PrEw?7px%T!9)o9nNyY~S{9K0Z4ac`?8H}@H@cD?#6D`NmKBd>XEkhBC zZ*bZNF&@8y>b9jf!JR;Ewxr;9#Ar&Ko?1mS*J;ND9gJt5lJ9wJQ~AuYzrUaQCND^d zhAGdsP^QMqlWjvI{9!&Xe39~`tDD(}s1Q2Kv_q6Wn)xXArP%1F>(>RB0@G9jCua8o zzpQMhf$heEQ`t(a@m{a`kZMNFwl9nJP@*!L*@qNbMf2tVu?qz?A$rVA! zZCLsSwj3~JigHDg4&RR%$HSzzwAvDW=3(C8vbXEly}Qf6?KP+Rc~Nk~UP(O?F!O^t zO}Ke9ZoR(c28OEP{TK^Tw=$Q``uVw|YVsfYG3>}k!LDJQ7_p2Nvnb8UetK})Be-G@ zQL3@Q<0tjiD~Yp6enibJvR+2c(eH#G1}j0Pv8q1ZFWdj-N^(R(b?1>uH-aeNsEM0~=LWof zoZ9BVw-OOysmqwBoLZjx(coQo=1NtTXFSJ|F%;#h`e*0YH}iY( zR8z#!MJ1Ks*OXCaQ4hOUEU}MJhT9KQxx`Xc-8?kLo&e{8{RFG3Opg(d15{LgPcF8D zyh;#9cqRH#4e^M(B&U%4p7-+hSCmu9sj=1CS?tTnn#IZ?v`yiebjpu;8kI>0P} zqG7a?L3X0`Y`*C$q!<3#iaK3(jY{wJp!Bea{h-1fJS^gJ56vZ(@se><105?gz8CV+ zYff%Nd7PAPOZDzl!*{Fcp{K(StL}NqiBOK=*Qk8ad-LJSf?RjM?L)hc(@`bf*s-A! zZXY@qdLqoCD@pzH(^MlD=1EG=jl%AyH2DbB3_VfxRsD9#&?LO&T+&d#+YMs?i3*0i zbZLrq1eI+yupFqAt+yu!1O+D##7?0*+ca_>tyLODU0?mDo)`m)#(2Nm+2%gqQ~vf} z1#+V{7@i_C59bK>>jAyW`+)|rxCY=@+ylQ1pDmq>HmI!yBYTbB@xM6n1!wZ3e$niQ4M9IsPenX&?45GKL&7;V1bfS2vsQ3lE4Ydmi_zpGq6uzH93oZ!Fb=UbD4nNR``~^RD0^9h+W!2 zC0>d4f@YQjH#25^(A)4tBjRN4zynO9Dy3J@!r1?0HQI9(85KzYm0~}CILmy~(-=K|jPn+HE%F0MT=ACkIOlxUYp;nVN z@77qWh;s@4BLIEFDbXK()bONtyv�^L}DWv;J}d)v4Fs_T0=73h*&htPtM|3VU@} zJe(^Zq8S6z>kg*?z}G)UvGr3^MOqk3$O+Ky5>-PJFnO&L4+;Rf(+~ToLKCq*gmoZ& zd-ELa90IppyHUqFTiLVkw5#=aQr*Q=2W1#}Gq(8d72#*~9ZKS!oQfjz7i2tuy``_M z-lY(PZ7**E0{n9X)1&i&#}3EZW6M1kwLbPXPJxbS0CbyHRcx_an0CIoIvM}b!2LS* z_RBW(GxiE@!VVNY3mI$#7N2pk%>~=gSRz3zXr+~yhR<7d>A01zriS|Zrit`oN@Q;e z4V9)pnumWoLaA%q<-@`fA`HP?i2qM~Dja|pc&sd?r||qX))`-s$hL7{Vt<6DlcjX1 zFh$-quN(%FxoyG_%J3rQeVDozH*x7eYlgYp6UEg3KSWilHh<9KJi*`p7x;S5 z6svLb$`K|BWa=N8g`lSt9)loCtrht5RamcX%@o>T?ny7=)Mu{h!uF20G(K9=&%ryp ze|wKYYER0}rozqiX8|t6VB(9&+@STo_1PMc)eB5q%K$9QM+V{=#MR@glR*Lw=`ihh zS4S!~NB<-=!ZwxAOfzmF1|c+1ouR={UmasXNVxu;vom4UyMc+>U!+H4on9C#3~(`tGC=z!cw+ z)6eS0hgCUsQiaojkx^cBp`U%Q4+=g z&KZ)HF=5iq*U?cs4Q{F!p;`KJKUbt25>=<0Ct41e77yPAl z6E7#^hg1JeZafyQGB*i;ZG%2CFqlddx#UNCo4Y85wnzB;K- zq9Zp>4BH})G7Z>cx)V!Chwek)R<2?hiz-jjg+c~q@&bp0BVInMbDQNAi2>8a6{M&xQj!Jt+f%g%8FQT!rpxM5nnmbEQE`ut z?jhCJAu~O2*-x!=cBz&|HiRksX_uJ-?8jugzH7pzh-yN#^4q`3;|?cTl$})i&5zN3 z`0ytX@x_I!#jXz_meZ?6(9ohD%E&)L%s-Q@w6avvm#I`%^-sTcUQ3xq4Mq0V`~>;o zK@apO*;?1~<)N=iCbtC@3Rb%h{wfX_+D-j&HJP$KnvM+b@JtV>J-YGh>SwC=aYyHOnSc>fHc;BPsos&Nh@iqSxUxDI(1-P8K%si!$Gqg`*S7BLL;C zeCe4`x*trJKXruKq{Dwu-E%B|a#Go|^RIB2D)L}&1Ai%1C?LcnR1oMhd?#*vs4#an zz(*qoV$0%bz4K48ARtpp&{!mM6?C+0TTb%+r&B?nH2lQkB%?5}3jfu^IaNddAEQl< zq-YckKmDruT)KW0VCzHNLlQAyeIj+X!m06v@^B;7FY-fArctT%X)H5$%R|Vu>p_Rx zX#8jiOEkjh&(I~N>6qI)(UVk~Bs?JW4tL5_VHjff85v^`-7lZVd&7&GE ztQc>uS|1NJU?R9AvRf)g!hy6>(NaRG)QF&%W{K>&DU|_fEq^6$5kqHS!2Zct^$bB@p_5nJr6=H z%3YQ%Ro7JslC;T-`fcPkwiSrr8m~9%RnwolVxYD113zb};-9M}4NH;K?b0+gQd+Os zsjS%Dz7l5KQp9+eo`?GqxNn!&);tc&jyL$3?n?L0Y`4pRtSf1_SSRs^qcPKyVS$yY zEl#TfRjz?b&~EokT0W#5gv5OLRt2TM=(KsHAX#A&jC?@A9dWlBUj8fs1e2C@#{r{@ zE`Vl!*?53hnA14e3pgo8I)WwL+g4;{n#k@*94QEM{DFsi?F=cTVM)2%rl_8O9h20D z$XE14z^iW|w2q}Pu6_wlsE73DmCXTg2iN40nR9ew2_0dEMchME*_+rOS(r&Zdfg`b z-DN07l2%PXemu;S@>g1`-y|5iMU9EgDfK6{Q2gEC>em0H?@zy0vC6OR&*j!%$y6Qr zY<;)lU3k7h-gTT*Tzv3_gbI+#vX!sO?=QU1D_g{QIEU79sX!%q(3u&wN6Rcg8$(s6 zaab|E5Bi)BJH$#@BqP zjjzPeX&vj@`XNIH!F5 z2PacNC=zU^q&MyLb)vM4CL{001uzP3(-U4OMcImEWW8P|9v^V|HFGcEboN_KbcCuBX4sa zW0~KeuRWW++$(vnRa78Mh9<%X-d$r}2nOk)qQoNg9AQ|1pbVJe_`>_*Y@fNxS`NL+ z#$iTA-hL+x@m$_rBruyPFg}^ymlJ{FEwN3ec1ab1P{XLe%B>WjuPTuBFp|V=rvxg# zC$U>L6G9}Ntvh1jIiE}lFbUD->wS4dZ!R3bgmKNKP(#?%2z%uEq`ppYU%NIT0Ca%H z$?IFmN8k$N7b0nwWYtl*yCPz;I{>`+k89`N$Tt?-5gis+#>}u%1~DM~gn*duJ;3v6 z9Na4^Y}odQ)#;D=FAX-Co6Uq4!)pH~sjQGX1Xf}z&%8>%dYyJXj56J;64 zwS8|3`g#wT9QUoH{nK}q=M{kA@@`RekiJ?Q3_@Uvti@Iyd9#;NJGM^hW97LFQ!jQZ z>S@qCTHJOovAo2nlV4Th)E#Y__wl=3lyW;8IQD=A>tbK%OZrhe8hE>xkcQ4L zHu^(1{dtC}Vuqrqf}~YIgd1iPcqX^stqaZflHH`8u-b}hYf+mK4*VjVp}tvnep>_E zgTm9^>%l=Xt7}0!yb?*snz_*XT_sNTD@we{c0{ER-0KB|4I6;OLM1T+%JV7a8?dhq zPL-FClJ_qCXTr;xsv>&IWOUUZru`34Oc%fNAC1GfdV76l_RP3hjnie=gYB9@LD@A$ z0VpG+cMvR;Rv-(9P%!vzrNMXj^-cqAMug#Wic}HkW;0or;_aC=qBTI;ilPO&rGXYW zEX?g%5=(EIHaHU?cSx4mR1fwufMGd;Sdj+kWgE+l)B4{lo@VweDPu-(xW|Q@XY7Hv zzAmer0eds}s4qACnZiD@;oVzj4E!7wxm+s!c==>uW^hHeBYQ^U^e)EwU4`i~zs%`G zsrR9jZw|6D5&Z2U*RQ3aN{K(+;51~2`rvQ6*U9Oz0{wV_>ZC`e%e8YK-@)&__eCa~ z<7xV**KAL2dz!u1qX29hkS7CP!{=iMci<*HOq?sG`}w~SCDo)#@d_W)cj>Aw6e#}J z$Of(2;c-x(RE;u71iXw*{H2N{$g)ZRPB+bkr(})RrVnBoiCZ>|A2s!P$WrX2nA6Jq zcB2CQYI%PdmNz+?oeKRIEk;6Q{+NnKJqd$k@vsyR{RCmBIT3AvGJo9M@`}tRY4bsKNro}`@6Yy0TUY7)jB9V zl?PnhygMXX^-1rB$A!x?9nB+gq>Io`q6AuQ!Fy$5r(YW~+{K;cq&U!#7iGhXt@8nF zntYe?SJ=9euIS-VzbBl^cQRg@Ni zGJn{&0}V6pIem&MZjxMiFY@VpUTM$#eiqR=m)`$5QA58rM_^U;gPqnhYv&Z{f0|c| zl)pKp55AHwuvrF^4T8a3hsCxJ7-)f9Rzr7h_ycbI*go^HLzLib6}{bTn3YK`Lwv-z zQmc=*YFv}v#bjn#mDt5x{i$TUZMY*Q(E0TV`T=cZ_zE0qF<36wKTB7Sw>}ZLrTOFcA~yEN2TiL*mrxJ46U)B-ci?V#hi3FW-R+uh_C^190@}&$ zT)49TVO-7g$)+#zjzn=0IbBwxY(qrGj*6HV&IMQ~|eh`bK zj9tVXvRD}MpxDvPgekp^eD8wC-}_9M+ue5xT+a8$l0Mdx$)ciKd~ve;4W94$btSSyx|om~e9 zFXVaRZh=J$Q5wwTUuCb7ij57vs^yocl!uAzzR`AMpc5OCRR+}48#ckYcCARc%+Iza z2N%nUtwp8Qk4C+A)_kru?Vqf_VZJ&J$odsJf_Zb1=&;|Ao|W66&H;4^bb5}7w($Pq zd8Vicp#ObMa&H`Ng5EEk{~b2vw{%ds$Hk1$V-_3QQzeLFDmt7^JZo}<@yXoXZ6XZ) z)5o4tT((NJ>V1+|dx7a}&m_!#OR|3X?Q@`qQ690A_p=>X4`)W@~ ztbMUP3iMOo8m5JCWWUN4SLgUBl{vgWbfDQ`w46>0D1n+5e zpL=JB{1dN#iQ$VpDZMM7o+u~IHs-~}?ohaJ*>H8idGns9$-Q{a=Lv%uu*44_ld{pm zuz~Q_aS;FaaOsVj(x)L?9oDWb?$b?!HoTW={Qn#*da1Mrv~UDvQ8ot_Y5h4v3K@OK z%L_i%%}`cI@4K5|OZ^BKzZ{s0s>DoTpgfbv$w3xIz36%nVHV>J;srV<4wN^Gct;$u zDa^4&O6O2YIHk%-y^N}h&TkS=g=KB(m%BVdKi_Y(&?G%#7c3K%ZVyWj&8x0X`XE#(kUHy|h)R~<7 zBUF?fjW@?B7GneKT$f@$bilwv8Tv+Q|HOwKR1_l|G(x9#A;xH6ALVF8;b^}B0=Ov&fsW`HjpvopX! zO7UEC+!v4~an{`!S1l2=^qIp`>znwhqSEBXn^S8KOPglt7o+hV zaAtgecb6w+*UPAS6p!BiP*R!RsKdi#{=3=4|7*wHHOG;J4aR&q;86l{yIs2NpTpMc zg-WNfBfhd=fatiEzV)Si%k4Q?J+V~&%Vj#X7RmQEYsHbz7kL*g8orf(?Guthrl_$G z$|Hy}@@AJ)F12)fu71!81BIKwOxLE2>)WD2U5?9s51ItMpWrOJjjcfH)9& zRo&~QA8s~rk&sl=%`EwW1~|Q**#X;?DR%y|fDWg>8*F;@c<|guVoL|9#@< zd;YBHVwAVKhMPU*+0QO$jkb89yCrc-5CK0Ajh3_h6a-OcU4a;9&>BynvZ6HM6!JxS zaX%=Nmyi#=_({@AZdjMd)j0Ds+D=-9btv_LAn%j6%~QcAZ`n7SOSct%gJqS#!3n~s zwdd-Q^>y4|Uwxp2d@f`WK$%g2Dd{m`J>}gLokd#o;<QBia1zj)+)QvoUNy%_0~vL~cP*EnGlO?uWtaf_1s0*k`w{fgU^{FsR$#b6GmyNe+KG9@W57^_-qHYI+!ve|t9X|9z~{Bkys!sY{Qry7}D zJs81-Dr(*B7jTQo%R}tA3N5d zVl2V_Zu!T5kP=_~6Zl@L_mwF{EcfA!g&GKOy`DT&*`4%q8ftILt?i!5#{cKxhz)g& zK#?P492S`Ia_($h%P?#`WUT)5ocj46eAM?(pS*yY1JTonnk`-U!ndu%W*}Ft!U1K8 zGr`&RJ=2EIbAVYyCnA22@aO%nfw6aWfocYwF6i`@D<0Z+?Pq`k@fb~B&^udyo{)>a zsw?*qENC7;oS44;VU=!@BoYMnW<_J;Q?%b>r11?|AR@{28n)ihwd84speU_~kHju3 zGCrxBdH+TGi_$~I+{Vqm;~JyqpR<|jiyv#(Xm-NCeQ=Gt*TXKkpCrZ~By@X8cC%<< zcQ9l(`Mt5m2UYlM)Nm{1{#`aixIh0CwCX?wOT*6ypsCq!uIS_(Y&kK3qmw1+Luma*iK@0oIHn_6(Ef9!Y2bHrWPm5*RQg|mVV$7g*S<0#*oZGKB%i>E34 z^41}5TpB?`Lm@g4lxNI1GvBZlNQlR$KWOkc!fm?VtdYsZ`>XuR*({4Y3tE3-N>eD)WOhfGRNh#wW<@W%c=SZsfNHBW5E z(olAOGAt$r9z!>qb#;TCG9>>`WnUc?RTS+#fnLcg?-`)ZY8I&$;{jHcSTDH59mG4-0lp z8&@`s@cBRe)Axb;za(d9U^ym^kxyR$9R>XOAe8cX@V_w}Uq0ezuUbJYCG@$}1Lw`t zxbt;JbENh3qlaCz=Vd=XtQH!+kI3M7LBNS>f;}}-u<{v&y4{7?#=;RxAy`2zc4atm zMgRIQTf<(_c#V~fC`CgV)Qg0MFrQc4Rklp%B7uRF-9*~2(uw~1{^ZT`iO(U#upvU0 zG|KFdxg$D+3n?S!?w*UP=dus{vr43o3t;sA?@^K83)f5R_zGouZ^W9{T0qb>-^wq< zf5u+7VrlYU;T=iN&6rEwwdJ!)<}XO*zXRsIB-A#9V|4Q=ds$31KU0m~nndA>VeO|QmG!aIk9Dm>V zQ^1kx(>)xHLqNVyChtq_#~aK9Ld3dH)+X*TH z&#&_KGLuMC<{KK3-&~KsJ)t*sio~)UOj0L$UX~`|d=O=|u)eTx!V3X=da~uSEN%81 zYI;Q|e>mF2)mvJ997}kbQj*aWGfK{5Z(y&}f?D3|z!d+Eb5R#WV?uikGddEMSO;D)9?Bk&ecPmN-?n}+ z@6s=F)2aivP2#{#wdcU$8fAIIrRT*!DVS&s@7K=~7LkEWKmJ$u1k!RFG|YENt~hXTdIN&Uj{K$dBYP>eLqLDB)Cq@I;wAbi11dA3F5dTcs6htq=l9U$sP zjQKe!%XM$g@J^e}Le1zAWw{wz10S!!`L9{f=7)I%SQcO04Ctu^+giPkPj>^~%!;@T z+W3LR;Dt)@GC+&XoJA>-5@yN=g`fZYVf87!@fp8O;nwZsA~V(gUXIi#Jm{^vd43;d z8re4URqSYZ0RmxGTh%?Ck_KXXC0W18D+?}8X!9Xn18OY}A(PFb zn5U4wCMx@`S8l&b&K@GA(`l)@w50`4e$dkjP&QCJkQi-O4w8aeiv#hlD`^kas}C+C zZt>P^jf`(m9ErM9qP|VUm_OU2nM2gqgV58HhS*RQ539Nz()@KkM`qosesvBg6ga$m zoj2u3Pl%qUzZ1#y^!&`H@vdk8Z-3nEZ_VRqQKO9agh7vvi z5|0=Z?YYJX_DL!x{BMae+G59{cJ;J1hd}^mco9UDaga23h7z5Ls?&I8UZ0*<4=iJi z{r(?GFgXk@{T#drwmHDNIacs)7vv^%J-`HvH2m3sSoX$G8^SkUTiIyu^Q@agPb}m; z;%J-ab)|Io&LoDrAlfF1z=?>^N}LeMt@E zcD~!I^{@WDN&{GFb`JT7(cyro%v?%>PKH76{MK*~B! zNTE$Lb7I_-@!6T5)rvJe7LR?3E9CM_ zsrIAJN#pT|rvfZ@M(M{YLH5o(1%H8+V zn87+aaw_x3y)Q#sc2BC@E1v{fkBh9r47E97-%ft2%v9u7;UC;gNP)2YmHWFxvL?iN zCX-D@hC9<6k-=}s6D$*8%hpyO3&Bn*YPpIO=uC-9WtvVVYQfyK>+A^SsY;P2I$yGy zZ|XdB7_5z!N!y}}WfK>eJerIXn~z~M`TtSwY2}mV-<>tZjsjk{2g4s$ZAuqfOwoj< zXuC3Bco*5C2Pdd569ziVcvdS<{8G(`#R_u)^a+LD6k(-;1dqS7K(#wtz%Ii97TxJU z&!n4^n@wEbLol_@povlJJlJyV+VS#S1`$a|VfEh%7Qfx!@4K1IST8$X%}Row!72Cwf->aw&6 zOiywiDXqEko_&f7(k$BE(WT7O{*zf8NYk{evwS+(uE)*GS$6l`PGk0zrO8o`^o=sv zobg8fRl9&3?iAj`dMp=r!hPLij0~*{IrR!Ode3>yLyG@H{ z)$Gv2t`)WbHP)9GS;8-4o(t}%J?S&^O3SJ53~i$-Y{#9nqxCn99m_V#xQ4EDr^6c3 zGG-Q}u#;U62LSo#~`1qc_kMY~$07xS8nuC+*>8fUQ5NmlOn`luaYc6JR+ z8#}A5oT4u5r9pe=o5DSaEcTH-64rE?Mc+adt>&C2CDzxldM`$8xTdxu71=Zy*%*Ox z!)BnR`hqYQL2itY+lg=EHKTleAOo+hj)!NHfUWp_iLp_-oyc=J>{*2LXGYkRU6B%- z658LF8%^$ytutwJe)c~LT2@AvOCsQS_+ZSH#H+LI-(*sbAw@1x{KnNYTWO`$Ffsg~ zm$f~)Xyp3m?Qo=4LN9Dy1OvDJo!-9H#@sKA;C9leLpZMBA^htVS8SPlKCBaYujrFa zQ>_H;nt>1K<8s_G7+hGi9?nuvFP_Tl}(7@0Vdu zAFHdIpV{(63OuG`R76+t(J3uY8#s%9!jyw8Wzwmg?&y-eNn{~;$An3Q;mvq04aqde zqJa_I4#&r~WO%0-)^+g}siFmsC4DNt*;3gG zdGtlqUZvW86N@M%aN#Eoav7hsAUR4 z^q*ajI`;Pzc5b?Q!a5dNx_^t)3ixOaplOEg%VV6+h^US9-iwmt6vbjY!lb6Db$YbA zCv+BKRZ0bR#l1$0>y*c}G0=@yq=#8}kT9#iy>$jWKgW7ePw{?g$&_of+IfwMtU=+~ z(8X7o?=;DUMVh@=6HU z^V$%ct=3*GWFV4qQ|Oh+f6jj83$Jrf3PB{I1s#B%e-8+&$(|9-EJ+Llwq zrRdHxqspHaXhhpOCBiRi7W3$g6RqU6tj>hcffD z8fJz!`uc&}M8uvf*@*H-)Z9m0sN3+3W)yd4qq2QJB2to&^gLbtcWrqG2_f8#6S)To zY|?M+Sq|(*_V$Vpqvoy`wc0+{ueXT^DGuEVD<_BF?jGUulawiGhEms2W4_Bs^fg@&@UJ* zOF>4Z;UgHLcRriH)XEEWTEFrkqG*qs-qKP7D?c`G6(CTYa=UvlKakR-(5^YV7!$ZU zDLn03pc-RV_-<|jk@#|9@V{yV$Mu5I=u}~T|6YJqxb98WY!Z3EMY6KML=17iY%UkO zb}LFESY|l0om7tNU==4Y+Dag^l9c{IQ)*ZHXF~hWW=CNi**7?y=}^%QbtVbH4{4v! z(g_^qNPr5{3NAj+X38IP3I3&pOb z5s47~6t~C-iUAMp%pEbO`)7qM7o=dVwcDJk!B*-ni9mbC4?3q%SB{n@Xt&`uyC07ndkv@!%}y$>62F(=co`avEHmJhX-yjB ziM-C2Pg6`!Y#%9i?y{#Tdnpet}GHu4%*1Q+3DSjT7b%Rt{cSi!jpHD!7u!rN6y8oMzTp}*W*<*N8*6g3r1)G9 zn`U@Youw@A?eIa6JxF_}`$3sbs$2(rq{}s=O5+a?MleqIhA`MFbx2to4WZxfItuOT zuesP>$Bde2=c;0OIq{HB(NVq0YA`qmKo$)VrHwmCkAU5I{F;B?b@9qwBEUtRrJNw2 z6xGAkC?L?CqOPH~aQ=3lHgny-L|rlU`X$Ak+m_>(@u8PwCAy~j&)+(h^08IQyGQab zFUEydOhegsaW-y3De{om^Fp3gcFl;sxgNUMMBFKnWliHy;+S-Gwi!iWj+*J)rBfKC zMMT_axR*ja^C;f+MPBZPE8j3RZ$E!c_bAgmTJd>!_T-*r4^_6kE^G=Z4=6<$Oz$^4 zRHQqkCX>-B=^IQhC)zNh$>jbwk%q~{Ci?FM9HrLsWZFYJQ9YUZ^akaOFi$~YTAS)P zlm^8N-dP1vT6;d_XrGpl=G~(AhF^JbQ@;<_z^1m`?N0eZ&F@2V3@>)xVubFO8QFf_ zGcr4>nZGVROua%BO)4Ha?pf!(1J_9Lm)%Ud}xE#jEh_I%pp4lghQ0TP`NfY=A3PxD=WWd z^}JIL{E$G!+Q6YiI3We)CO}t`x|3in-?h{X+d+?%?NH zGD;ngt0gDQw-tb9Q-6vu&mOHKeQ?_9!9Z4NP-Ql>_kg8GCBa(K!+`*Cr*l4e?%$z z$7osYwB}N*l&85Ui0jc&64Px5KLEen>))>$?j9Oej&mAlDN7dPy({g+u@Ou7G)b${ zsxUjSI2WVYp|E)*eJ>lA{IkBae=Eue#?Iq$CY8~wf#DWHb0GG0dw66OKM?sEx$=Y` zpI?Dtbap9t)iZ-^9``feo$Ah3J;*<7zB^T!D(FP>>({Re(^jOLEw#Y51O^3Df%F~t zf_dc=K0YEjIk^BGtlRT3{BqY`s9!LkA9M($&kXyhrb{Pu6Xj-ASK7-} zTQwcsJhcT-3c0sf_U!ixZuSc8W2&d<@bRJhzDm3-s_(B(r3?)z)(5i=UZ-SaMB_8a zn}WQ9G_yvfy85MFY412lFkdojNvb{$m+^+z9fJG+8Z?!64I3_r@UKfG>RPnLr(M*# zl~tsXef%PndO_Pn+hNS(n~pW#Z|%lclj|xo|AL;r4z|B`_A4)u)1|1OAV@X8y-25+ z8zeE@xB}}MR6@=WBbeja6bly@u2aKNShugRYKW7Xar<1k8vXreD6!|G7)@y~yu!%h zqEz)ooIV(qBib=NSoj*fW2t2+{V@)aqj@SRc%-D^PE80DkS}fE48#I-jO3}f++4cE zy{9lj*|RryZPyIz-q>r2(R@mOYFLt$x^%H8Oi!O<7qjO(o$+^G_-3C1Upm5YN8a|2 zq3xeztdsJ{^2{KH=+>#bW3_!LS#ZQ0JX|V(QmIp{tInQO_ANF#8jIs~4c^9J zRyQVB!xJ0*hX?R~=6CVkF3fknz4B;4tf$xbBY5jP_ddl?3ernRG~H!JMnpvHKR4JB zLPS9u!SC(v9jis>4-}vTdM>aZ9UR95ge?Dy(;kVQ@)t!a>INJnUm57==`kAOvM`VXC;O?lE`1?v*;dZlZ#nbUdWa&dyiIAn1l~i-aXqI=K4X>_6(TH_`GIRfxrc zE(<%6v=x`5)U?=j@7FPBsf@&&ywcz>F<)jREY*#gd=p4*SgO0P zjuiHP3t8sjr|v(hNn7F3=udOsa0czoxsK%g&zm0Z{cq3s&(n)(Pzi2_DejK0E-<$$ zF@mY?$KMFpPjH;>!zt)N_f!c92}4`%o5Q)NARgqYm%fCG zqT=DD*Jnm_VPRp{@O9Gk{;)|CKkU7kKQhkF+ysP#M<8geZOQpBH3gjERh_H1mbRhc zr+s+6#m(iB_i+!)8V<{oYDf5|j0~!Wx(cLYmp5Ip(*#_aQ3<;~_H8uTKlC4|erMG8 zO`H;B-b96P7}pVj)ac!Jx7P`uKhwLp-_17q36eZ}9WgehT`Pkg0nDqze8Y5Yi8i}c zbXTCD)4Z&%E(r<_RRm}$*6{GK(EBUCwzjraoPL{nuY)kSqt`Q934bzN@l!nc7z!o} z?K{7nQrO|J0mSQtLNyKkk4V?~t%CdO<lnA1sq2btDWiu$RsY&pws>GWbh7!5*zbHdL72Br&$~DlsjQ#?4T6V{Pv^!MYzCXHH1EXt zlAKJ>z#y~le3P7*_)&rOJ<&&0++@)&LBc-AjOG>=!)3;zVz;NGLT>BPb94x++p9B0 zHMQ;nja)ox>KM>^^Whvh*KlHPVq#+bY6o)Wm#IUmEE!-txSDQ`RWgKJkRXS*7Yi03 z(vM8Uy`V2)xUr3d1%s9D@lVyvPfhQybL=O}T*FsVWWsUi7#NV(*4DVmu=MLaIqTfF z=)Lp<3@Xi`=X*B!E2e#-)F|EI*nO!Dy1Kq@4jzbxf$>>1Bgm!k3|?v^XlZHrgpCbdCFNP? zSfQ3xbe|VaIP%ukR;sWYGvvF?;J3engWW*$(&d(admou&0qLo%taJ@uhCSfw^e-#@ zCVyc~O-<*;mPaqY@x+j6>YzB?;V`1&>S>vJ3P)6L#h9?x0^dEKF8!8;sWMBbYR=T9}>}XQ5%-X}ufa-In_dnPWV6Tn_L=Q~cLeO2q zmp8GO=oUXH1U))kh!`6sK0dz2 zXq(9Y1AQJ)2msoDg3H6crmwL@<*Cjc9upRVE3vSS>8 zi;2EmTUYlVH4=WpE?_z0cLhk0$oxuLU!M$^uA>?I@@(HvJyyNRbmHRF4~P~S+4_7? z?BjMM;RHx3>_ZQX9xEz2R>h-X6SgyYB^j3CWi)v5t?A=K{(Zl`c1P zXUuH>AL%2a)B_k7)RPOM1;KN)3A%~xf2HuH<;nL!KY=z_wM-1mGtZa`L z4{V$q9}nd!;QHSjb%QYl_Um%IJOBzz$%~sMTu>h=cXvMPzSO1jIv*b&aK(__pNN>4 z&M2-XviOUXhyp3gZ;oej>Y)b@+TJDG>GzUlpkiYWn zDD%bv%9EVj+|GwbJv;_A&|6z$@jNslcBAqcrR|Z)Z_vJnt%mr9J1wGPEer1Ph?Re zd1wJ`;7uju34kTK5IpnoBAqr{z6ZbV6DTe6py_%5L4$`62T^Mg6qUQX4hb0<9H2xu zI4}jWuCA^zvj;POfLH>Z1a)b;yRv^IIoIGby5a%AWT(2!>tNn|=J(qHD~S2OFKmvp zme$svHnIZe-@ySqbqr<8gyKm%%=}hjO;UEbyYbmLK_C!FK|nQA@N(E)Mz-AB%qxXp zKC1}|veMEYDrWZvJTgT*2&%0638c|@YzC+vFa{`@#)=CeKAfvTM`7%*_~qiqc*dUE z4B#GtR<=39Ebi}a$t3)RfKuWU5PW!qi~=dBGuF)lJ_l?KD4~$kiH?eznwOD;?W=6*J*W=EM^Oa4?^6aP-w;gLeRoPZ$|HYUk=a?A^CUpctWT?~Faf za^+*B4GhR1oF?E-SO6cYV%p)1h5=vWJ8*#Qa{l%99v!yhwwrRB0<@R{UJo$4n2-W+ zcm@73+^gnLA^<%*E7E9kP?=>l5rYCTh0P)p zsJOcF0+8IV-k)`9mIEh2MH6`^8-putp_l_3aa6(|a&qW51e!2FArCu9E*1i5jjA15 zfjB#Zl-0BOflreIFA5|@j}eP5rWT33;S;%NO3ADMVB zL8*Xq)_i|^06&k3iwg%T-2LJ%7@!KhkPsQl$JPyf6W=YSXc}>fw{PE)@!8@DI7|fr z@G?DF?}r4nene&9=O?!4if*kxXu<^kX(X6Mh>FgxRKJn&2M#EZh|SS_Tz3&_iQ7{x zfE5f967w6AjP%D)BOtQ1Hd*gUz*u@O2BXFU=cy-=Wrei)5}K2fbJ)X@WeVhdb0iP* zp|4)t9mP3bcXf6y#R$%~^l~*v1CPN1xD^4NyyhKf4FI9NulHcUYyAMlBr$z(^O|%% zGn&EcJkW4)!4B(N9`8d_MrLO7wSP$gxAPSh+#H6#(EvCqzIxS}@+Ke>n^NEjFYieC yBon Date: Thu, 25 Apr 2024 09:04:35 +0300 Subject: [PATCH 18/98] Update student.ipynb --- student.ipynb | 40 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 40 insertions(+) diff --git a/student.ipynb b/student.ipynb index b429b68a..b2ec211f 100644 --- a/student.ipynb +++ b/student.ipynb @@ -1077,6 +1077,46 @@ "source": [ "df['waterfront'].value_counts()" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "Since the 'waterfront' feature consists solely of two values, 'yes' or 'no', we can infer that NaN values indicate 'no', as they imply the absence of waterfront property in the residences." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "df['waterfront'].fillna('NO', inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "waterfront\n", + "NO 21451\n", + "YES 146\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['waterfront'].value_counts()" + ] } ], "metadata": { From 172e73703c2380cac676cbae39e8e0e979dc2a8a Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Thu, 25 Apr 2024 09:10:00 +0300 Subject: [PATCH 19/98] Update student.ipynb --- student.ipynb | 98 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 98 insertions(+) diff --git a/student.ipynb b/student.ipynb index b2ec211f..3fb08e89 100644 --- a/student.ipynb +++ b/student.ipynb @@ -1117,6 +1117,104 @@ "source": [ "df['waterfront'].value_counts()" ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "id 0\n", + "price 0\n", + "bedrooms 0\n", + "bathrooms 0\n", + "sqft_living 0\n", + "sqft_lot 0\n", + "floors 0\n", + "waterfront 0\n", + "condition 0\n", + "grade 0\n", + "yr_built 0\n", + "dtype: int64" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#confirm missing values\n", + "df.isna().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Transform categorical features into numerical representations" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "Our model may encounter issues due to non-numeric columns. While numeric features are compatible, these specific features require conversion:\n", + "\n", + "* waterfront (object)\n", + "* condition (object)\n", + "* grade (object)\n", + "Let's examine the value counts for these features to understand their distributions:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "waterfront\n", + "NO 21451\n", + "YES 146\n", + "Name: count, dtype: int64\n", + "\n", + "condition\n", + "Average 14020\n", + "Good 5677\n", + "Very Good 1701\n", + "Fair 170\n", + "Poor 29\n", + "Name: count, dtype: int64\n", + "\n", + "grade\n", + "7 Average 8974\n", + "8 Good 6065\n", + "9 Better 2615\n", + "6 Low Average 2038\n", + "10 Very Good 1134\n", + "11 Excellent 399\n", + "5 Fair 242\n", + "12 Luxury 89\n", + "4 Low 27\n", + "13 Mansion 13\n", + "3 Poor 1\n", + "Name: count, dtype: int64\n" + ] + } + ], + "source": [ + "print(df['waterfront'].value_counts())\n", + "print()\n", + "print(df['condition'].value_counts())\n", + "print()\n", + "print(df['grade'].value_counts())" + ] } ], "metadata": { From 6fa340c79fbbc50ad69992f49e8ca6e1f72a9ba3 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Thu, 25 Apr 2024 09:12:37 +0300 Subject: [PATCH 20/98] Update student.ipynb --- student.ipynb | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/student.ipynb b/student.ipynb index 3fb08e89..5b7ac561 100644 --- a/student.ipynb +++ b/student.ipynb @@ -1215,6 +1215,32 @@ "print()\n", "print(df['grade'].value_counts())" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### create a function to split the numeric value from the 'grade' feature." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "The Grade feature lists the numeric grade at the beginning, even though it's stored as an object data type. We'll employ a straightforward string split function to isolate the numeric portion of the feature.\n", + "\n", + "Waterfront, with only 2 categories, can be directly converted into binary. However, Condition, with more than 2 categories, will require expansion into multiple columns." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df = df.assign(grade=df.grade.str.split(' ')).explode('grade')" + ] } ], "metadata": { From 91f0df341892abb9f73f677124946b711ff4f5e0 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Thu, 25 Apr 2024 09:15:00 +0300 Subject: [PATCH 21/98] Update student.ipynb --- student.ipynb | 53 ++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 52 insertions(+), 1 deletion(-) diff --git a/student.ipynb b/student.ipynb index 5b7ac561..a82add33 100644 --- a/student.ipynb +++ b/student.ipynb @@ -1235,12 +1235,63 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "df = df.assign(grade=df.grade.str.split(' ')).explode('grade')" ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "False 46360\n", + "True 6\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.duplicated().value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "df = df.drop_duplicates()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(46360, 11)" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] } ], "metadata": { From d796ed43c3d62bfde7546bcdac8b6bcae5287f04 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Thu, 25 Apr 2024 09:15:41 +0300 Subject: [PATCH 22/98] Update student.ipynb --- student.ipynb | 247 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 247 insertions(+) diff --git a/student.ipynb b/student.ipynb index a82add33..83d7e37f 100644 --- a/student.ipynb +++ b/student.ipynb @@ -1292,6 +1292,253 @@ "source": [ "df.shape" ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "df = df.drop_duplicates(subset='id')" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idpricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontconditiongradeyr_built
07129300520221900.031.00118056501.0NOAverage71955
16414100192538000.032.25257072422.0NOAverage71951
25631500400180000.021.00770100001.0NOAverage61933
32487200875604000.043.00196050001.0NOVery Good71965
41954400510510000.032.00168080801.0NOAverage81987
....................................
21592263000018360000.032.50153011313.0NOAverage82009
215936600060120400000.042.50231058132.0NOAverage82014
215941523300141402101.020.75102013502.0NOAverage72009
21595291310100400000.032.50160023882.0NOAverage82004
215961523300157325000.020.75102010762.0NOAverage72008
\n", + "

21420 rows × 11 columns

\n", + "
" + ], + "text/plain": [ + " id price bedrooms bathrooms sqft_living sqft_lot \\\n", + "0 7129300520 221900.0 3 1.00 1180 5650 \n", + "1 6414100192 538000.0 3 2.25 2570 7242 \n", + "2 5631500400 180000.0 2 1.00 770 10000 \n", + "3 2487200875 604000.0 4 3.00 1960 5000 \n", + "4 1954400510 510000.0 3 2.00 1680 8080 \n", + "... ... ... ... ... ... ... \n", + "21592 263000018 360000.0 3 2.50 1530 1131 \n", + "21593 6600060120 400000.0 4 2.50 2310 5813 \n", + "21594 1523300141 402101.0 2 0.75 1020 1350 \n", + "21595 291310100 400000.0 3 2.50 1600 2388 \n", + "21596 1523300157 325000.0 2 0.75 1020 1076 \n", + "\n", + " floors waterfront condition grade yr_built \n", + "0 1.0 NO Average 7 1955 \n", + "1 2.0 NO Average 7 1951 \n", + "2 1.0 NO Average 6 1933 \n", + "3 1.0 NO Very Good 7 1965 \n", + "4 1.0 NO Average 8 1987 \n", + "... ... ... ... ... ... \n", + "21592 3.0 NO Average 8 2009 \n", + "21593 2.0 NO Average 8 2014 \n", + "21594 2.0 NO Average 7 2009 \n", + "21595 2.0 NO Average 8 2004 \n", + "21596 2.0 NO Average 7 2008 \n", + "\n", + "[21420 rows x 11 columns]" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dropna()" + ] } ], "metadata": { From 6a18de5f1495bfbfa7504ab8bda324134846d908 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Thu, 25 Apr 2024 09:16:29 +0300 Subject: [PATCH 23/98] Update student.ipynb --- student.ipynb | 34 ++++++++++++++++++++++++++++++++++ 1 file changed, 34 insertions(+) diff --git a/student.ipynb b/student.ipynb index 83d7e37f..0a540d1a 100644 --- a/student.ipynb +++ b/student.ipynb @@ -1539,6 +1539,40 @@ "source": [ "df.dropna()" ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 21420 entries, 0 to 21596\n", + "Data columns (total 11 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 id 21420 non-null int64 \n", + " 1 price 21420 non-null float64\n", + " 2 bedrooms 21420 non-null int64 \n", + " 3 bathrooms 21420 non-null float64\n", + " 4 sqft_living 21420 non-null int64 \n", + " 5 sqft_lot 21420 non-null int64 \n", + " 6 floors 21420 non-null float64\n", + " 7 waterfront 21420 non-null object \n", + " 8 condition 21420 non-null object \n", + " 9 grade 21420 non-null object \n", + " 10 yr_built 21420 non-null int64 \n", + "dtypes: float64(3), int64(5), object(3)\n", + "memory usage: 2.0+ MB\n" + ] + } + ], + "source": [ + "df.info()" + ] } ], "metadata": { From c9d096681ea31ad0d802e3859e59f5fed211a33b Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Thu, 25 Apr 2024 09:25:03 +0300 Subject: [PATCH 24/98] Update student.ipynb --- student.ipynb | 80 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 80 insertions(+) diff --git a/student.ipynb b/student.ipynb index 0a540d1a..6278fe02 100644 --- a/student.ipynb +++ b/student.ipynb @@ -1573,6 +1573,86 @@ "source": [ "df.info()" ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "grade\n", + "7 8889\n", + "8 6041\n", + "9 2606\n", + "6 1995\n", + "10 1130\n", + "11 396\n", + "5 234\n", + "12 88\n", + "4 27\n", + "13 13\n", + "3 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['grade'].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "common buiding grade is a 7" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "# Change the data from object to int.\n", + "df['grade'] = df['grade'].astype(int)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "plt.figure(figsize=(25, 15))\n", + "sns.set(font_scale=2)\n", + "ax = sns.boxplot(x=\"grade\", y=\"price\", data=df)\n", + "ax.set_title('House Grade vs. Price', fontsize=50)\n", + "ax.set_ylabel('Price', fontsize=30)\n", + "ax.set_xlabel('Grade', fontsize=30)\n", + "ax.set_ylim(bottom=0, top=6000000)\n", + "\n", + "plt.savefig('grade.png')\n" + ] } ], "metadata": { From 2aee3e1636f24f6dbd71458880878111ec9e1951 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Thu, 25 Apr 2024 09:25:08 +0300 Subject: [PATCH 25/98] Create grade.png --- grade.png | Bin 0 -> 81085 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 grade.png diff --git a/grade.png b/grade.png new file mode 100644 index 0000000000000000000000000000000000000000..1fb761c4d3459ccc619c3ec7cd3d8ab71051b334 GIT binary patch literal 81085 zcmeFa2~^JO8!r6fZ`+xhL>h<`sf3gUVV8_0QJN`p^QcL&h2{_n6)IyYp?M+=NF_8+ zyI#$c=Az-d?$^%$f6iIox6b+2I%}O_ziVxqyzlS*{hsF@uKT*L`{A`$O?A#p-kA&r zW6qB4%KI1$wrmDtdiC$W;U~Xo31;Gd8|_pM+G$!Ivpap*<|t#&VLK}`OFOfZ#!DQI z+Ss17v{)x0E3szvk`s1zR%V5kqO#e-Jr1bD4 zV+w<@LwU=7$B>Si7s^}^6@YD zMPrKXwm-v-|HaNVZN>gS&n>xX+jg;Q=)Ak*fhV`r>~=ZTl{F50={QrkDXKL_bIfk+ zROid5c;WkhzRvRN$AwEw{)xeu`R8W7Uw>M;Wy##hKb*a`Wd4lFKWyGP-*ejJAC?IJ zo{c;I`MS*UuZGFrGq$r$wf^;o$bX%a{q=`^|9s6qi}sJD{o^v0U{Lh_S_H>)iDqfwNX7cgw7PjVE=l19mAMd_)NFT3Gwq<_&W8NOwveeVv zEuSA2Iizpu5Pkmqc|&__roUw7=-Ok2A&b@>`{3!+*Ob#%5@k|wOZv){E9~s-!nYoZ8Ux3m5z++XuZURYYuH@-~X?XpqlnG zhFp?{3i#N9`@4etZ5rRJG`_zc;XKe*{Os_X;i|gv1>$-MzUhONV%|KGhKI^lp9pKm z%|~+l%s&Y$#l*x`><*r9nbxx{?MGK?+==3F^RPhN(5@f}KU_1n%*dTTHgnurS^1iT zft;LO%luIJ)Bel+WrcQL`zEsLP+t7W&kxF9p42>YP<_?~DU)2^UH*I`Y)D| z$n{&yW8Yrt7pCZvyXbfbEzRo715?J$ZiwqGC{pO#t?;AcMRB^zP*U5IsPLWFSE(4# zWg{bvRSfWd2E$#AnHLZc5wJIB06p6oK^Bc z`gg3qz!UB=)FpN1dw;kDrS*MRe@5fX7pF>|B=x=*V~+L}1z^Lt-%DpsjQ?ny&*w+;7uav4?_K*7ZFqWm3c3w1EmRz; zHcQRAzFKE(ibE&w!!YMl9r0y`I|9TE(;V>~E1qb_3W)2z^yE~NUAn=%l8aVshM?=3 zO<3E==D7k2vUqy#<001DGBO0tR=3rpp6+k`ETY|fIT=yvUeE z?znP9Z1eNJFpFn};?N~QH&57;WK43?ttF+oe(t9px=$u|}(Po-ePDoA%pmPu!#Oi(>`7cH(EVuHLw@ z;Qr3*-uv$FR7tjJ4BzI*Oa9XG<*}x|L&edaSJUQY|MmL(GFW&0NPyC~V~BO`qT;(- z&TowwohW;#en)@C6gcr;MNbZD@ZjDUn~UFn_~7e4$`q7x8SL=rJDPvPPrf^C-EVXG zf}7V=3-X`oFYamZk<5)r?Yd>PNl{UeWmw4zHfyXjNU`hhtdhYtUG5L|_4Re^eJ3(2 zZWXS&-TdbxyIY^1G0z|NtyHf+(%Z+1SM7f^ z-yqdtkDQWy+n23T)9Jo${(WCxWa?ZwW7B$fW+lS}*L@%C)H@O1-&G^;&An^%;S-IB zZQQ#2j4I6^gPnneXC}smE*xaT=Obe{emd`H$!gt~qMJs)y&3-YW}eCS{?<6V)=vi$ z%ygdWB}%-%wvzKel$IZMJSWVhYY}YBvI9=3@%+fUaEa89M~@!Gv$?Vhx{q4Bj*m1; z**1MRm~3A^T5gyHbrH`i*UI}be4jx}6wTDn>{!E8}yRbs$Q?p0=GDI3hn=X0*u z?YUC(K{h=FKI_$(AC!kE6^?t*c)aiai7$^dI^yyK;t&V&&dm^52s5mVk!~#ER9CoS z*VUUZ8PJg9!=o$i$1CkUZJxp!MAv5})q0lc+!I6Y6WWK$bkiKI6?(EcdkW>dv(=Tx zxO8-Muqb|ryeee*)?crvHnqBJKsXv6W(F{$Vl%uEaPqL-COO{Raj=xPu+>S^*NWEF zh&4cA@U zY$P6^^K<1y{bd_GAL%FeIz%nIi9j#6LM>$B9rtmk(f-fsafe?2DQ++e(MOOXR_N*4 zjg<-Ji}~dpd@JKkd7S;^Q|2t*kp1;tph?@8$7EI6$bhWd#8-$?q!HKKK;K3mr!=IS zXu)q@l`ys|W6;bpwJXK+Q!=7E*IVgYr{+)!#SMK$NO)eAGZ!*>L(h^uq^k<*hW zCt?0^LIm7rAdY(CjFzs=#jX4Ms)SnG}7nU%E{h04p!RqX%hVT+99zv;~Pucl*U zL4V9sq@Y?<;&kB2ey^^YRMny|#R%+|Q^vT?@lb9&M6nh#vChpU#43x;$xue9q0%(g zkA2xTGwHA(_eA({cA)yEMX(XOQDmTGxx^#yu99O?0zxufq1|keU!*j_H&1EQ%9n5B zTCG^aP-fo-_X(I*+9Q0^xzcNbVp>l<&(GT=Tkr4~*~ANB`uRsw=YbM!CXBVNH*?oD zQFh7$gPm1**n`A^%asV;3y(Mq* z-U(Y*o_uJ&?oonOeU{^3#c?L(@?_iQV=iWE$xGoBQix%Tq)&Z$`ZnPh}SsY9>MDwN#_3loq`@836DaFc?zK^%b` za#bJ63|UxFXmfjW89+`0l6u{#G#Iy(bwjqOQHJX|{p0Wx>%Y#;K$gnYvMo{^(kB#E z)z@5bn}@Ylywa<*hoU__0j%=i%&Y{Ch|<_rt(4k1=6ol#zrX)PZJJY7GClmox%{{K ztCeG!z+V0j@3_ec32DXXFVfbx&e`Bz)KVU2qJL(fgy4<1NmYAt26k!T2D5`{-?C;= z=;FJh9cP@=0=w#OD-i=k3TkejDE)AA9rN`JL0{l2MZ}%U%)V2lPZu2zb2=8{)O52- z(QY2H((7kODUX;Pe{sCXe_f&MvO!T9pNvx3fmOJde_>uYmH&nNPfp@g*kvo-k#pGXwf1m;8oe)x67FCMDBdBe{`g8 zsM~Xyzb7_*L)`$^wc-d>k=bulMtM_2X95#gtv9b+ueP!A+QRiG_PP$&U+VdysXiug z_qrfuD@uM6-*I>IcPnzlvjn;^?%gHagZECTAX_)!;ocvh2P=7Upa;=fHAupM9?W~xHO3vD zQk>~NAv;)ZVuG}hJQFKgSuupPV@mrs@jVT$rkWgij-^V+P zN5U7|t{CRp`;N~&+I>B;m+V;oXG#lBG0Uz1XOr!O*cNWAxH!l5RDVk`;dfWXyuK&8 z@uzm&5s6R@ka*TkQLNt4!9ei^N+w*|$9=5bD0%Mq@~bFG$aSfZaGF`#<5H3CrX8&- zUDQ6_cW2^5iS6LmK=s1D_yj~CH!p+RfA%)bsjuPbi$d?#&kuR_JLx$AXY_tKY6iqu z9HkvQjBwp&@P>>cYnG(%&2`6{T%tXV{?L`FvD2iyWE2`UPC?7M>E`iVU?7b{rcL{Y zx@tK6)sZR}i0fYK9yneU7W!>mGtIF_c6^u_7zWrllmqB+qq}{g7~a1i$iPA8oZG~> zcLp3M(zYZ@yXf;Rs{hhPd-FGL$^cR!=+oS)TebFhVF>Lp6Q!-hM|)M@h3qgT`0+A+HwyRiH7f!w?iB3GB5@qhN3i^9i`}7e(uQs$jggj)k_VqH=}PM>1hAF2(f^FZ5)L>hg~y4^ z`|?z0oxeiwTY?SiPkdZLRT946clxXaESQ5G?ScKQP&nQD^<7VZ`{=SRpwI2QcI8_e zOmBQMPic2$#Zv&B3;G3vLvZ8fQ?ou&mMK;hOfMM*UJ19X%c!`hp%;IO`x3vy!44R? z-dLK1LCX3JtXuHfqdU{azqeO7bf zu3XFAN16}SsGh^K1qE*~*Y!nmd$9XvZ)$TrDoiG7zWm~W#70C$&*m@}iB{L1h8*VQ zKjwP*^ULQNx^%`1FMJ7@7rg0=GX+a2r{1sSN!CoQ<`~`hRRknh1v2)1`aVlFKD&=w zG*E>_XIUbDdutmy2~&*{I}m7psU1s3%U54b0DRu2;X_%;#yQ?90QwQQ$DYK@F>z!+ z9;&T8jV9(`y%(WUJxo5|s`ZjnM9nwI(0S#_g_q6qEp~l2H$Q*-?Ja3jo07`f!tz5+UWXlXvYX(xC2_v z5^0eou^cPs4Lt9B`*o^PDo~be{o+Dej`6V{lsP!Uv{7O_GRk!804%hAJ)MUI08#yJ zFF$HQPXboyMESGB{-;t9f39Av*m-01BCNJGQiSQQ;3F^K7|N(6!eN2MD03ZA0l`kX zJORec;|nQa{Bd!%*DQ&oC92ZgksWee#NNyoTgm4>`z}2vATl@Z%aKg~)924ref4yu zcIVELOe5Y$tz5Xf_2C`0O0TCd2y3Jhk+Gqw(Y{KAF4>W9+@tARHp5^ZbZD?8>@Wg-7MxRbh7-ZMb$hf-VzV?G4zU<0n%a zY(9UzB;~w?h#{Xw2%v&2xMSs0iIky&P#ZzC4Y;Nxcnqi8Jguh(*dqzM)`j_sP!UvFW-8We`J;sKb?Hu*8AR0gXg+|f z!Yh4>D^$+j8(=>B?38H@Bh7cz9Xr4%L;#&?JPj^TwJ}Acl{)qz*uxg}%LmORBdOgP zRi`@0VP6!=iBVxmJBuoW#f&Ud_4h>tTT^xC-e?jW{l%Hi4xo5_*Pa}W4A+t9CeyMQ ze!}OpH-z67ZgO?ZvZtb4_0nAa=Vuhv)zt$iTb*1O1FtGhw5*dI_@Wu1>{XYkf@1J` z`N@Z&;V8;k34d9D0tZ0X&V@qmqdj>MxRV|3>VO(|TZUQHI@evQ+vdnrU$$EuJ(ph& z6vHx(i}mA=a3$-$0+~E;C0Bn_U=?Mp_k(&5*lN6g|9+?L1dKV5DRcAlr%w$Z))o0q zj5aH=HOrV+USoECHN=hvuQ|LmD;Z{(P1yX?F3FlzvxDC55DDcXvI^!U93m)db?BUB z;|^Y?*c?BA%GSp;{NqtmLc0yK(`EBGm6}(z}2s#1i%3 zzJ%xOY0N<$X5wRecZ|^iiW(7f6>a4>3x#Fi-%VtB4^kZ29b& z+eRx__TlFI*A*$)MuE|~E~+6UffB{>d+WnM2WDqoru%9np(=Z1YEf4f4CT*J4sNP0U8JVfUj5e{ZDEP4(5-;THvcVE6=ws%_P?l3{o`mzVxwQ?n%+WU!Q3 z`7@6x9w@`iQrRpd-%Yhf%BwrJ`H-p>Dt3woU!EKgYn1|iRUb}w1~%s$f4WV1wB2ap zy+c7qh<&Nf4)+IutATvcQm(__4yHPof2y?U(??j?2kv&g12&xRPGIN+94yXtq}Rh% z(Phv#Dkf!>ww}xaaOxJRoe3U#l~^}x8$>9lmD1|;nG*o|S;`MAWc{Eumi? zL&v4+?F-_M=tXq`E;||aAvx}l9q&x6vsfoPjCe?3jI+>y5OhqGH8a;bUp#SnhzrwC zrnh9rD#@!CHuQ1as<@(WSFECu>d>hWDi7k;gSF-Ua+{7dXLG9WmdyaZc#HTkSWWi? zgX1jZcm4L-y4pIgF(nM}NHx=K%!YgaF5orc9f=<10L%LJB?p{z6A#82Qw;@>Q>bOz zUK;HK<7hltlh#(7?vmAmaADc^BWOE%G--pCrfkj6tJ>C9jJ*UOogA~Yp=|y)n0%O( z1yv!seX%R3+p*^s7wXEQL3?LHio}cx_0=H77R}*Z|5j6+Sd>f{6kBtc+xJ%7xk^|m zsL?||SOS5wQ+tW=3s>>sC^P`)x(-=7vc@?KHNR`L!G1IX0<9F3_`@9FN-UBR zl{Xb@EqK&wN2Z^YV)u8x3bTf6 zuO0Hwes1_ytnm23sx~J8EjQHP;GCTg9UNqY>9ir zWGoH+Q%A>2kq~dM(SHH&&jTU|>rXpU)IM6RUX^Gm$StPjOXRS>T-&20&?H0~P`TCY zRIvZr&6|q|=n>+k<`da zPxX#)@Cfu`Mhr6%Dv0080Rl+4b$g@ju@AST#cpjdzt!E&_29^qr!uvU%VJX6o+w=U zz3+Kw9l9fd7Z*q*{q?7)*6N8nVhTvlOcaAPr(A(0FDzK21NQY(vhuyK{VZ~-_0#=6 z*Kstdc!}L1iWlhA7=;hPPO3jLOry{c`jm{&M{MZT!c3SZTOO4T@|`a=Guq@3-%J1t zoifYWq?DQ;FlTB?L&Q z(fM}ck#k`kDQ{GkXWpT@wHOIk!G5&rXpjL>rG*1d^3Tzb%mE~r+38FGs{>m*V)ziC ze)`@$wP}DeYB}Pi%YYz zJ5jx{<&~jp)*O1;P+|D5^BPDCTOS|I@?c}jLn*FvXv=xP8f9JGO06oU7V?%WS ztD@WArEKSpL{BK`)%ht{S@jeZL$$9PuJ!AkJbALJqwu<5#q`<@7S+L>$(j##?~rx- zAeHwu3htF)UPZlGlkw4!v%Gg_@l&cxRYr`sEQjwog67)N9yY ztWEh`(qqksxu~G_rF;g9_{u-~#$zn;UItz3Ai5A>H|HrldljQe=n>AuQFsP5GzZr2Q*0%*1VqM@2Y zY+kJR{*|(nj;ldwO#gJ|rD(V1J45+=w2NH2l8QVmVIs*|l-?paj6`C*_S@2 zO7IL2He24Tl=ebogb*v!(yZ^}N6XSzT%Tq=QnTshU2&rfg-zi3&_lOL2<^Ul;k}R$ zN{uU4X-Fz@`4XvLQ*%8%5u>Hmo6n#KgUO?MygSr;#6T+0+&wKl^8S4lKoO4Gd@vy_ zp25F#(MFpiSv}_FLA>n6k2E66v6&{|FxZ-j6;G_T+11}(CW#~(D+_mGQXPXbn`gVI zPsn2wq~N-_r+><^enI)OTsIk9%~KC1)wvKLqWVHiGm-}2d+ z@Y>TCDsOUt-TcaGG~Q(_uabDG7AmI^ts6fzy;Q)ZP zyc-lUyNKub-szK(ngazu$E6#|<96K9oCB8F)=mvrYIlgN6tw|C#~=R^ttUeT3H8?btX@q?p1XLpe$twgvaPtaU6rq6 zmWb;oS*0485EmyrdUFhjYi9Jtto?upQ>!E-Z*H`0$_6jUO`;bPCLAjY<0q{Hpu1(F zY2h6urFzFL7hhd9Kba=}uFFeleAwirMU9-2aASGag;}$t=WD}~PvE9;S3Reht*xy+ zFwz{9l-D{(-le?ZhlOnHdKr&wl6OGcfSVd>h2H)~soWsAHc;Wj&JHZEXV+0KMHr$S zrM_)ip^=WRt}d0BJA)+nVG#bP`IX1M4@7_vi33rVi&V(Ty=s5CMOp0r$DbVZT=cG9 zsEC3YKC)k)+N`Xs4-9AB8DC~G#5=Rk9@?$59c-jw+dO4^Y0n9lv?*Z*LHCegx~-53 zJONTfF3w)W0n_yZVes`k+PTenD8^XS(Eb?xjdRh+YyqnEKQ9COdOILJt8#F*+E}qf zYRAa_w5>j{$z@bm%A12TJRZ$g+Jv03};MS|{ zqGnzSiamO&HG8JT?OO&*B!GSq4z62Ch*aGl*P>=5!ihC9=!(wZ>!FsJV;eHY2CEh- zI9d_?lVaD(K_P9uS^1hW(@sz4p)P)~`YYSk+T2H1OU0oxYjjLR-o3Gp1s0M zPw#7^ii7EchYxv%2WIAz3Bzr?5r;*Hfi+7U%`XJ$+JHjelPVD6N{Bfo{X#`p;O9cS zs?TV-&+OEtN}S`OgOCs)=8f*n`Xonyqvn53E;Dp7_gyF@WK=d00Xl@c#W{1dcNd`q zsZ(DbxmvpL_Ly278E7j>-XvL3WWMF1abJqo;ce&yuJcpBxmLKT z=nhFx_Bhs3Sr6l^Ih6+grjDL|nKk;Fs`z5#S7)d6fXHh4K3YJXV+!z8fcryDL^`Ca zZgaRo|IEm1%q0^ttFK-#o+-4tPqo5+bme;qsp53MgN7 z-=V!!yeOWu5IvyYbBG}%kx@p%Gu(hLF~k0fgXIgA++4%TmJW|PC}Ob3Me{=U60NM1_@lFAEZ}sTP6T0 zH4n_@LO@He#9C)D>S3a@q#08N3phX>bt?3;-F|cibyt@62)o3HRDDW*)-JmH!pKis z`WM#iDLtSB41Q~R6HvMFU$4%wvuhynw4h%@5;Ne}h18l=0Jjo{pr6$7Jih^ovG<=7 zMA3-xgWP2~pXA#^?~lFP>HyrkW7^uPs=*HL=P0ytz z2c$xDB57kp&U7+kBS5tQjmggsdg@Opm(nuIOUW1YN>1bBl>_8yrUE@BFZQ>G=`8a0n`cJwivF{=j{n0q*$ zdNm$Q5PG7|qvyz=``;~XL%6mW+KCn@Xp~2JTO2_rG7$^>-vx>sU;H5-PK9g96CjFi zx_V|pNQl}XHk4fcn7eWL;UyA64d~``dH(PtV~6>hAiA(MBbh9u?IfKa7=UZ-1AX5| zAEUI$>Y+q*GF`d1vT<#N?J0n;k(I|Uv2>Nl1BtwXxIwLRN#yI@wP#YlBt$;VaJ`yRS7MWv%fRUnK)GyTnDaYa6=&SiqV?J}%8*_*ED<5V2PoR;4#$h?wj7#o-jzVI(+V;=Fc2ql?E{8q$`=IcX`Ft&xKp36Pd^=;=wH%gWItF zyhlcO4x5THgkZu{2u0^2r(b=U`T@&6>uIf0APIHijJ+n-_oFlW^`v~x{sC%4B0*iZ ziow-;@MC2p&pxh;K5u{YJ;ZIY>2B`^q+omy=Ou#{JAP`<&!J@xBnCO(eA51$^{}5@hG4%nO z+)XZiqePxktuAHr^)1QOvP@tE#vs?&ny;Rj_i*>keS3w+9}{2z62E38fo>etv|D3Z zicp+tu;uwc!!u9e+h(8`d876sV82#<2ZNOH!Ng4A&Y3q?%ih+jbM4y`R#-K9I9BO9 zV#v(sh$9+M5$giJSx5CC5RY{U^tVODuIMnVgH$4Ns3Yqmyp#Iz4Hd`l_z}saa11O8 z323v#eU(Bp$2u+9^1!o&b&iS2SfI_ylG?cq*IO5EY-V}uJjMRK9}p<=rKp;%6qYz( zlm{rcU2VzS;e0Y|66r!%#*LJ8IIaKFt}53z-vYphk$%RPWXe-!@XbfG*M4bQCQ%6J zNHt5KgWZq6&d*C2J(r65timt?J)YuNqs-wvrEzwovHSyP5R5|syHx>HI17c_#sjrU zNkJuMy*{??g`$i`Vz{S~eC*deH2(YI=NO}KfIve8xjda{a8g2#Jb4H>)6?xfA%AkO zsLsP+650V&yCFtUE?sxLaP{RS#%=>073*57e{^RGk|e60yHDiC>fO}4hIoTl#cIenJa z5fpJSN;vStGkSmsb5Z8Tmvjrf>yn>7CO3}so(=LQxN}1%te-2IBn6uflLj}$?$Zuy zNDxJ8QiSCp8Z_5;ZoRKJ7DrSK;kH~bH4914M(v0wnNNgu#RJ@{_$8nvf;xf=HIWw< zSrw#%tpQZQ?gBITtTy{Xofg$YD4U84FeUGYSULjq$W5}6aSh2T+d%U(L3N#KN+{VC z%u~O^CbCJqNTxUr$95=wS8Gx3z*>12N+=rmwUE3W01cD z@IUZkbOQI*g2xD>Y4oh7cfXJle&2!OO2$Yo;|uB0!cHaCVFI8Z>h zYBk53S8XU0{L2M8XeJV(4=TV>3)6Q9tj#}0Za)n?qWs!!;nBPVV0ao=;I#Ox0CvMn zzNIOf)Qq%jT1=o4y_)kNi|>3J=paof)s94Vxt4ISlc<9wFG8BX0_p{KQ{5|9i|lE3 zN0RJ9fZ(Ms#3LKO4|U&pxTYFeN|3bd#HA4gp)#C!!yZtBd4LBCABNcMyaus6ksg2R z`Nz6O3oKa*dVC!>5P?5ka1bDs*jYZ%-NZ-`Gw%v-pWZt#m9cl2U_4Ka+&(04#nS^4JLqa6O) zPY+7f(~s`hby2S^qupzGpsp>E-yHNN2k{0(i|sh?TvbKA^7X54LL$X#e*+y}*q0BT z0WXbp+|w6(_bEzDle9Xr&nw~cXf%{R8|sH?=epDS)G|&jmNL%XFwN;5 z_@kV|m-ug3b%9s*B3eZ0zDjm%jkvpux;|QIh?VPVQELrj^?cUP=3z%0*Gsl5iJ8EA z2lPKt^tFI{9(p@hw66{dg$^YTPCJ}RD#2_o&P3k)Xh?Hcghrt|no)Wz56>D$D4(;? zZ_&CHMMIYhsO|4j6i9uDD3@=L+1*<6uMl(wNLG^3R^EYfr=r(6^!jyf3YbNkeym1e z!cVa6vMCJUGAk`^bKAu2UUER225qQHB-vsPU>r-c*#U4$!7mBvon@woq4Y-P#l;rG zH6t`}0hP*L1t{EQn}SWKAv{v^@Hl$iT!A9$)JI(>025Fsn~5F*Iy8S=wQzAqF`bK! zSzr7(uD%%h@g1^3f&Qlu-gn84BQBV6@63NpJSdzomNJ5_C?2YO62(g5?$>Emn(i?ME9L z;DJU{AvCqZOC&7V$`#RwdT?f$T_HpceCj%baQm*Ta{7JfFWB{DYuS*;mhkz1Q z@9w|bQzP)aJqf2tL~qm%edJy%Fo+3S z9_4EjN9Kf*#6g9}fQ#rl(qxcLQ8H&@Z+xhEglNeFakq6I|LJVFOG;?wT1@@w;=7rw zK4>Bc=%l7wrU{EIb{qqEltKjdu*FmE;#GiTqu{m(pAo!40dYS$W+l={3_3Kf<~L7+ zl@{i6r$(p6>06paevkl1+7MnsGhLth5LUT?zIV%>eltgA`J9Viv&|E07Jzx!BYPSR zhvjoL7hEJ*0pa@{J2y%PxJPA(`Ita@E1$KGqw7mhHU|o(>udP>kMBic8W}pR4qm5l zS_!>YZ+8eIrC_{f0aZvq8_H7t`g0bCf6;9jNeYSWl~fr&xNYGL?yKp0bzLO@g$V$u zx~z=b=B1(iq3Xfo%;gNzKi5v{6Z6Lp2(qL zAl+p}_nJ|Lnd~`|SmThtVaGlsm79UU?V~L?-G8WkS`rD)oJq?SWyLH9}OK z>Iqo7owq_Nphi9o4N<#=XmVw!slvfEvv3|lc4FGd21v{K(tD;bUfszj%7kbi*&*Cx z9<1qV`=Ko85;%Db>@+@^cY}F*&UfK4O+1j!Kz0Zmg^YI9H4s~Q(q;ObB<}Co=oNyb z$CkJ-AAUvJbahMpB8c=zU@11BGi7BuS!!4v(jEK^+(l7EubZuJHR6&{sL?fkRCni2~tK(yrH2IRBBXsgDQ z(xgsc*Ig?h29Y!Vi5P8Q6%ZDHDc10!W;v@&7zpX60>=wAL3GH1*szUXfk4i~_5nC+9+TM!eXc<2DRN zc_9S?qT+yFJ^E+@2=8xdIh_u#RRQ=S9n+pl9SaCJ{3(#A#zSwkO3tAp*vbN-ofyJq z(T)MaeWY}PzrQcGfAJaA3>EWP$pAns-vuaq-{TDW;27Beh622!n=qwCk-N5u7flZ* zs-5bqkuM{l)Fqy9c_&Ao9;LWU2n(zcYK0Y>5JLlK^u#v0Ga6x?6h2>1c zH4{-m+r)%`zROjfkM`E7(wmcB3W@N0E?S zxMr0-V4634M80UiVjg`J#)%wm=Sf>s%bpxwD+1kqNWURVRzW%srbG}_48Ai29GB48 zp+_HJ;qLE=bH;DcR=sR*hxVf3}P>hN_gj z`K`0rE5dN$ha`GgCPbyO_1mSFzP5g+!jGn}D8^7DoU?F(LOKdkWz>C4kbu4@qg3I( z;UHwGmZe=x16JvQx_ZTI2Xigt%p^#$ZR1tSXtsm+zN~MB^o*p;L-S)Bnu07jG~g>u zYyt~NQburu(t^|CrW5*^xuBG8N9_G5XaGP;12i5}f(V|_1#xG)sO$;NVmhp0`Dph6+^)cg*P7wU-_I{?pdRp%Ttr@ zJ14|h_-QNxeY6sxV%9-X)%1VrZ$DM7G_ssy?C_uN|V1$A#Ox{3{` zq5}XPbD@+@m|3R3cWO|SPO*1j>Zyc za&v%+SzIvU<*~(W5Sr`H=3OtUTK|I8Kck6^#6?1C3Db|LQN$S^h;>&95K!c}xF-{3 zI00@d8H-_HB>X2y90?}T$)*B{LaQt6j#R2<@^&-@u|wX!x2yyyW*EF=0}A5uQxa;W_)Ljy--&mLC@q4=H4(+D1hEsmhk);&*t2o zXaVGVY^F5lyK3ebQy&vFi3%~$M8mtI?mQ{OJg~p>O|Zpl5dA-P2rRgUzS@ zG6Kk>nj!+wf>7J?&g^(a60BH5G)Fwq-j*`8NZ6e`1#`WE;r;o3NrT)LQ z!~~!vmu%~Gdk7kio&5^fC9r?~q}@=3D#hnMK!&+fh{2_Rg0hOIDCMUA$U#tk6ay}d zAiPbyake7+M(MOcRhN!9RmyaAdKXBN$eKRcX3 z1q~BnCjdkkkK-QXm_rJH$11fWtL5Q>eiRFk|MgGYOQ&IiiSaSQZ0@(#R3D@H1XLRd zo6DY}T|n|pnhDB<5#IO~3>~3pRhP269XbMez?VZ)N5X1IEmXNxMueOhZ)kB~+jjtQ z3UTa)-L4j;^DNdW`pP^6l}DsY&~Ha%4*;{9xViLu1Tnl+h;%;R@c15(XAdT$av>Me zIb?bRK?DyF)Gpyor#R4PUw+--%zfytn|%B0wFY{=Q;pDhJUfahhnY1*z0=$xYg`#z zHF1#CRFDEyMsAKaurLvk;S#n!RH^4PsaN6BLG2&3);x(dBc;_*>Za-mh*TQ3C1Q)? z8m%4NSI=M^%KHeRpCf>=F=Qe|L%I|dNeC6@-1b=i^u-_1&}Zk7l%1FxK*vU>P~b+= z`*0I|+Q*w|Uw-%!OaHTe;Wa&ciJw?Zl9184bYeia`7YErbnh8@U92+(V7u>5dp=u3 z5uY}ZbXf$$NPOLC6AA_}n@T21MnolQU`7f*9&Lj#k0mP}%KQW61PfRJxT*r9FB76B zA<15&{S6>NNyEM*>rPzVCE}{Jvk3JMlR!Y4pqWg}+f9Y6|2s21$ zN<@B!64ysGt6Ae77@&Cnd4#w{T7Gs_zALeE8=~<0YN%5vAejZtR|0S*sh#M4aC_d= zr=pG_5)y0u!W z@pRkis!A~67WoN}P4fKxK*xv}m_Vk5?j)9zBqW=nX5iR`yTBN%;}l>u+~|uI4U7Pn zcoD{>ag%L;?z5H$Qz}SmeQ>)WxjD>-gu2?Vlh6ssL8fA@AJ)>ftXB`Wf12d3l$MCu z4=a5HVk88?j-V0^=Uwi0j|Idhm9a5KEUD}Lwbc~W)G^9ktfMB1Bl7NS_;!6auzLdt zAW!PBqD~gX6v+G2qGkXae$Zy*1xuN*?gqq}!=>MOD2T$$*a?5cv_~WCfH&BPHos*y zvBjtw>(&O<+_*_<;h1&>FdPl2Ykg=&e3dK3z=aTH(M8J2K0JnLn~%u6&7bj_2ueCN zg%vAMbgY=oF;11Lc>Ne_Km$h4Jv>02rG-#W(%A|{f=MjBCfz#tqnxFe`1ZZxzWScT zEoJ()d%$ALsR0m)qVXJ4XbBF5)Lx{kr|t(e5VONNV|O@ncYT77n41iRa)zXSS^^_7AY%*gh*nVgic0+ z=^mQ$BAG5bJFCTo0x+XQ3Kg3-XkI6NWOi} z-YVaVu1!bD(A1qPA{e1`@|CARLQucTLU$j30!z(0F9IvE4KZVu>+Q-qT!qw3QZ%11 zj7KE4jwZ!1+4TpV=Yt*=7r`%#hpN(;6C5)RpYO6-nq+#1_SmQRLVo}j0 zH2$Dddnn735EcEqaJYOinhJyrNm( zlB+0!)c&Ujt@G2Zi5;Mt4Ns8pquZF;5Pauk?|#$=QtZK(sbcL|f(*nK5rr;jALwGL z#5S^I)*{<&mx)k2UovA@s1O5-+p*Ow-7z5xKDe4c0%{&j#L_ew8VV}7B9%QTZ--N* ziO@s%!65u85}m3B2*hCv^H8xEqxniz00awgDySVFyh^wX+{Jngi_{q%0wsrNf-;#xKbC{M1Fm-sHk@Sk8jgjP|GEg~~MySqZt- zj5pEY2BtB|D@X)0jPji3vufIsu>aX`VaeH(2Pj_NHPw3aJ#aDeXnIpf2pHsQXB=TF zSlxoH2a>Vlw?S*l&=ej`U%2EC3ZW0j@(xHPnE<;qz`4R80zG}&gtk)q`)Ja_4AU4p^ z2Oew)_mP0%YGu=bB6R4ED{y2F3B8bK784&&S`hGJ4IuKw8=g!)MER9SoRo8v+n#-M zn>_Sz#)Tmp^~O&Fw$cD*WgAO6PW&id1aJry(fMCRWd)#?QNJtP!TA)d*DL=BW!3{> z2>Dn(69tkmj*d{KN>>fQk(dt?8epP%S)`?_&FyGm=e)me+UL6I?@K(sx9|RQjkKf! zuB9c=5nc%2dSRxXfFQ9a0#%djNkf^x^$1(Gin3XC@Xgr1Ur!?CnLhPGIKqIQ08uzq zCTOZ8Huj*u1hLNFU%-f508iYDIAoU3#Bv>RF>`kQej^Y5UTGmcd8x~~5La!bLu14P zln|QD0zxredLs|hJ>`bNzuslcdKZjSyy^i-OffAM(qE22n7_9j+j(K1;N&;UZ=!Fe zs7_;7o}Mf)g+>Ggu4wZPBhE3;wjf&nNvW_P%a>FBZC1<8m84MLdEXRY!zMb~*3H z*mMJtzXlE!!gXb=L1(&=C0m!w9bbj_3$Zp4B=K+0j(?7c{pW1m|A{9B z|9yBR%hXha5na$&-uva~sFKb^_rwG4liatjBg%jJG|m^#_Ih?Cdy*=(4Cm%5HY;YtDKPFxx;D2HS51~bvNtBkW-e~z?Z&o}Q}sOYQ=47Hkd7S;ls z0wLPq4IcT|J6_GTeEsJLU~m2v*e*LeiU=v^{(RINqe3yW8KS#?rKFCJBx4-@rkdbU zpCCP#5h?L2fjOK|noy9;813!DnR}x(j({#eSj|0sMSb3n)-vusV~stKB|iHDT$UTe zazftRKgRU_q8X^B0=;b@d3^rsckTjJDxg^C2fOC;o5py&>(`U>8+KOON9+oU(aW-g zY{I%D&LF~}Q%*&H5o2%guQaipEl;3I9P9`$J3AnQ53(<}wF-1_|4!M$gx0{*TowhN zjG=ESFaZW%0Aeoe{`F<7We#3bA4=y5vT@dWK`_B(zk{)P>3>`Y%mE!Xwt$@-iWnah zoLv9qHyyf^h!tJ9uBj0d-oVemn+p}cH)2-Bja~aU2G@%JSWDUh*WqP)SyolNGZ_2O zxuuoEOaA2@_b?tKw-G0_{>Lp8Af=!+A0BCTQrVA3FaP!E<@ZpcD&3N?WY6&)8yEkE zk`X6?h({QvfB$dZc^^}70Rqk2P$l{2PC5Gp(D~=ry_y^A(3w(ve^;4!eIhmiCv?RC z<%a%Ob`j}e641E-1)iU$C#oowAc-39B%%M@^vfJXuqe8O36?~ad16a_=wv6>5{hYj znFQ^dx16j=*@K~`2Xu(Ax98k{4uYR7{@};|qo?Ob`hxzD{XUp3yJ@VS87?uMAv*P! zD@S^e=m#{4@w=-z5E@-3N<|~+Ukt9bzwB^d7UuemM|zL4vqLcQ94SqiT^sM%@ar88 zj&ZL5p&z#x!mJt&H;OMXU0!rZRyMpxP+UG~`I~pb)-5#d z?<@fqpc}6X(ka?gY${{s?O(pQ@*aLz{GxdT{Ip+7F*6P6*^ae@&;LHZi=2q-T4{8Z za(k({cgk$WUC)-uFQCZ$-?^j0-YJZ~Vw*{f#X68EF9By$2;e-!PJQ;Deu`1t&6mKS z(2T2!0i77ldac|}KSYr%E+j2;=Pj!}0U0E4~kQ51Ph^$CMPn?bx6Qz@Gz(LRmqAWz)5g?0I^u;Hy zEsqnq@9s74njZuf4-4)EdQIFGdCwCqh8%GFIJhp%^W3xwRk;tQwNW z{7lmswX+I43C68z6FQrD5zP`7f9&Z=geJ)$=rrYM|I~jICxCjnASA;N#-)ut4}x1D ze>q9={=D$r`NX8sLDcN*U;%Bw6+AdGYijwHR?r!@Y8>CA5$3kCbg;tw#PGr>BD zmrkXlX)rY4WJneC&~%bN(A@Cz;;$SMQOAl01c~c$LhZ9E>(oAsv>%Odv<@9w!XgwN zP}dqm&vbfkLLTx$4)ukh4bV|mCZW00+`oB+W@<;$Yvvovx-y*f`1wZ&!)f{8Odwt` zu6hE{&&B>OHpvAXQe8TK#^}oHEan4RU!kXTOf0?5@?Q|wJhycn&Iq8>=Ky4u)6;`v z+vD5;0YQR74EWi@*CqqutGSpp5M56VR>-lWg@owDaPUyOoIB{m)<)uV(rZj7|DlmX zdBBGh1F zsTqhDMOS12&ZvWKHgRVDqPS`>pt*~CP$Mx!AwQ86Gb80#e;%=%Yd z!X>62a;bQ^a@`FH1I;f-|NhG(rs!5cT7MkRdU+b#Ee8Y_OE+ov zzl4YDS2ke0oqplp|5T67mZdc8%zB;G-#ZBdK#~1#@R7HE{PGETxqdu3{`^%h{HHRG zY@U3Yv-*$ruPQD}T!}$H?lWg@hwpoQgrALZV$H8-x4D<;Zt5El0KXX?J~(@}S%EA& z|7)~jlsL;*TY2UUR_>Xl`3&{`D0T)##_l>58>}@Zk`{W>N2o@ zM1059mR22pbMsy6)P7^EzxwM&l0SZav0}mMgA3W&A-nYM>XKe0GW9>Nt}nX42Qr`w zXe?Z9=`;|`F_voI&e(juAYX3MG(OyjiTNBJ)&BCS34^gH?$@;$jO4rj0hA;}|Ks1h zne}Ut7>uuf{vZF5%@#NlNpXWknkdc-3$y29ESdIe0lsd%zt1ZpV^5sRP)tjE71#Bh z!mJfuIk{YyXN`^NnYg;5_Rr1BgVmYldi|GnA|ofqF>P9v(4Nnpp4&gK|NbK}r=?|k zE?LvQe_PXy2PbLT{mJap&w$-Cn~u^%CB4o@=-qmt@p%7Qm$55X>KF3zx_)wu*Y&%1 z@AYuN#PHC;gr|zIrF|OkfG8Jv(&xso_|a#_9#@)TYC> ze^F^~FBnN=rq|C&e{aQDGvnXODIXeYprguQto_G2f9^l3nE#ud^Pk86KY8~ze=biw zZAnurtkcj1Cwc^r^H0_xXCr*K@_k%Sa|Djihd=k91Vyhjb}pTJVkX9V^ymzJoxDj; z`AhV{{250qAld5Saqr>z&%bzxzvxozc2e)Cj2D9{;~L`p-!FgTnbw;hWc1&c%n8aI zZ4~92NfR(f|KmP_xAI-SiEe$4OWluJ^i452W9Q&-EQJ0M9D1FNxJmEG9QMidjEjqN zgmzC5^8XKXOvcZb>c$JQOE{@sCSB^x3tLA^jK&Ud`Q$uZHu+Rm*8nbfE$r;p*A8V2 zsbotg>@>i?7K3#1_v`I>C!HCLrZ8xUR}Xg8EG}}X?Q1Z%bg5!@Pj~9GbN_jvraz6w z^&zzRv&c*KNs{}NW0$aqdvQLXi7Rt)U2x^90jNC`!(+8YmqW&Dt=cdB^YSO=1}K)U zwNIm;jlK{K-qU4tw&LFW8S8f^>-*1h{c9RKdvR6OVgmyM)luoFlJ$dKXZk%e|9-#< z2$=F7_~+%iEyxp)zj>H9c+pVz6&d&O&k^@?-n(2rjTQa_aID*HDAmN+SSV~LtvLr} z_Ts_HA4A%U2X%km!;$77C7#O6%r;vg|5cOUpABv9$Z(MRNRX!|4m6zAa7k&jJ}`zx z1|Ilh3~ezWM6U@PlneN-tPCWd^XgTpFXt4-=CMgA zan{olklpLtIrA$IPAV(IbjHT2jP2}}Gmk(@{r|A{CSWzL|NH3jW%ISSVTTY6lpz_4 zO7mb#DWwuZQA8t}R5b5xn;MByNky78Aw^Ql&>&4{o>MBCs5DRKe%`fKWZS=U&h@=Znf6?KJW8ytK47US*#rSyO1C91}Ny<4~Hs?n$b)x^JD& zic7)4CHS|<lAG^s`tCL~}ilU=pibx-oE9c=x`1gRvd=_j#;PhM5$Bv0?sp=yJRS-2zJ! zz21I>GK^5$f7O8Esb^AA+N{tV_6HL-ibhL(&RQFq{L6#ZrBY$#-AEind_~mwc#r=! zv_s(Pa6?1YxMbVnXPOGEwWb+AK9XB>TU>ql9M_6txf6IG?SJbOmG=K&y8XX?Qp(GN zaUzyh&7V3|M|dZYsosf9l$V#Bi=pAjMfE4s&zO05c^$omO=hUbdOjCL)C_X{@-^f3 zMtW+;l$1X>W_`ybP!s*dQ6a44?sp`(vu4jO4O+TniHFsh$Isz)^qX0m%@tY3g1ERi z(Ut=`-rmP@Rc4b*5T4k^8LzfWtXj3ov_MT&dLAEN({!Y%t^pHQczd_0x0hGJcAuk_ zr;!eSOO#!QCXUmU70O@x;@wvSjIkZLr7=+0^?~L+jpo`64@7Nci)oXSv?v{&ss~7$ zWlqFK8reKdTA#n_cN#74GV_L>t&8~yiqKk066y`Q3)t8oIqk(vsJ~rB-h;8RxQ(*1 zs4zA*8f+B0C)%i>K|gYTv02%n#b_G3R9oANR3_02cW-m!I?*S`m#Z|#KTTE1UE$kt zC-!H33Y9&0FmfBtFo{N7IT9x>P`OA1ta0f*=cUTYX-(Y0d|vu~*K%JH%%Q~8rjnWJ z@n63ntb&4pkQmFt=K1W3mXVZ{4Abx*V^h7QanZ|5D{QxEAwLJ~a5XD=650XNR9kB! z+G6iew#{b+_1uIWO}xqN#1vah zF-1Cv>^;{M7J!8t{$_~v5gUDHh-uB!CoaW@xkZ#)QL&}z+p_jf9=VIRHEH&DNBr=T zud!aq$>AKU;h0~^P5d(TeoHH0Rc>XVnGL0g~V^nj7XCU7PitZx(X5?R+YQi8?civd{-I#6KpRLZKaZOH9$Xsbofk)s;dXvajTnIez_D+OxOcw)?C(we0if z&lhch%{*f9C4TzqzlMBsU#cId`7#q71yczoW3ihB>H4p{d2?-8Qc_a0u31~x+lrJ2 z&o6~KBTzYY>XhOwp;5k!KW_cb#T8k(i5-au3$A;%Zq0&U!3wW3D>za9rEfL6XK26= zq0C?$g9xm@Fm9iv$~rygcMtDlO5U2iu^(UYvlS=6e4VmO2o|8PRGudz6GN;6P%B!f zEb9>`wx2Lh{d)b^ZRZ|;@Bw%^t+(yd{`nZ}=5g^NWQ4Za^#@Ll>I^F&H5wM#(yPh8 z;C7^uS{_ul+O}&vf`tY3X77Su&+SWU&0`)t*C!J&raU(&{DYS0%`oDcY8bmKIzx

-R)w@R}SuoHt!qy7KUC0PY3x;&bbhzOypVI_sZO^O^M+ADi4 z2sp^bhQ|H=%=m+IjedwvQyScIBX8=RX=Yd&^3KQXv+9#L5aAcT!aG7)@$(_SxSE3i3dSJMM>{inqlkhM_*% ztP2hSy5lM)pEQ~R`QO+UqAmDnySe-PrUJga&5EoQ0wZu@Wkg$SJ2~A%)RvO_GTh0s z*v$06tY9|fkgDqyVB4%&`}%*&#NhvC_9+AfEyoqL16e&Nxyt$wG{m2cl{VR8Ol=>cp67`V@hP7p1k+wkFHR6B{wml-a<7drPPCb}^!lE^EZ zcQ({lgEuEb*XJ$3CbxK%l~WHzOqpeZFe->PARy#z@#f7uLTqhf#OYp!)CArGWvE+==yw7}mApv^wv!zkg_I4R-aY2mRX%hYzJ&~jLG3{;o_4V>4@&;tI7z-RauJ*WYhL?wt9>v!5!JXpSEuycW3nakO>%sUGIt#6Zi7+txjtgQZhv5X{B@*$31j(XXLYG}7a zcwL8J`>Vp9b|X25R?;m#c=#Bza6)tCgKM|ydVy-$&Q2_dXRT=jlaY*z#Ea(k8Ug| zD0q2^^)i~$-{h)DM+~WMW)Za}y`gv44M#Z1^J&x@@70SeAOk6Nx|r`w(=X-E*iw+z zz@Bh%(bM{0kZch!&ap+RF)?KH_(AWuy)j*v)E#+=?h4K)FK=a4Rikf$W78E6#6*m* z3r7!?PI2Xn(csSr8LbG()T!?F1@Wy5uD1DU9 z4nBzIc#q4NI#rQHjYz7t%gY#~oB=r&%t7M>*qb*6VSqgmOYC|+*V)1}{4tUap?K&g zo0K6;6LhG^jku|lQEWg4EGL}FH(L_OD3cjKCG}*;*LwZ7Vc#MoToiiSYM8s*pKq*w z?ieK~gSdi?O-m;%veyOkKbNr_%h;!oK^{uTV4e}d76Xnl z7+yqD7HT9sz=^=ynfuE8Er{6wO?WYu3xpP=Ql0gzFyBy~^E zFn&B*0k~dynu9ih`BcJvY*vUz{g0rVPC4DS6oiDy!71V3uW#K)^Qjd9 zm&?k^I&$R5?dD!09McXlu~uodBBHr&fQ_MkU=`W5#)tN<{*UofM*6IE?D1L8t%)XP zItv9I-*=lBtPZ*-U0La8$bxd3U5T6kahw+~M$^-52;Ygg%)m0aMvlUZcJ$#IB2T4+ zrC>M{0(4`qx>Vh(CX0G2QIbu5^Xn!?1zB%H{CB*DP}#6BzAkh>pntsReo~7|B=kwsg%q2c8eYobcVuoPt@f5V?H|{UAFZBp9K)HZuU+lc;(xy`v znB+(nshuoRGL{{wOKWtu4#29SL`m`(f@TE=hAao7FqK$vp3#p=TG^QX+6)tIKGtjw zgFQ?iAAYX@Zvsep;L8O$PRLu4eqMOCV^4=l61>(XJl#YjxL-OuwLeLOdFfKwuo4LVgV_ARwCa< zhBuMk{tL6xgikIB{!BmevuT;-d0vFK|itiaZD6M z>m@sxi@<4DZP^temiFng9`UZtPjJIsp61ou1_ln~dj6bXr#$l*qPUfu?xN(;q<#>IGl=y=~W8K%Y6W}%|=L$H*^p{{qAi^iOrifDh?t61J6668Ag2x z^^-6G=|0haBP?0`E@D>UkU>?)_rK{;`iErpI#sX&9t<+bylM;{Zlo4$Y2AP#k%^!x zHfUwYNUiOS=U?De-Qa^z{*tm_UZBRs>ui4(-=O zuc^XT`Jz0R5TEE!Aso8ar5<>};n@%utdCavE-$;Me6rnFyjA1A?v38vK&-iAhnb#K zeIpf3N4TA$q8s#Mhx9svv_q{>S$ba*5m+N(ey~6{85UEjNA(WZZ?8ff`fGpP0*WrC z)^%4K;|x-5(;H7L^Mzt62>&LfcSvPGx)FvR%C>x{U4fqk0uF6Y!Vy} zI`+osc@nwDU}QbA(X{@*S7(8LypRmzrGBPOA1YB=p_QWR{H`1XY|ap<%8^MF61)jB z$#b_@(NTTIuG(dMZiFXPjOHF`DM%Gonbw<1@~*<*nxZUl@wiC3zxhuX+w;c*eznfS zrpP-D)49alsZFPGwcMbxBLtnjtx`AvZ6SCd*bdr}If*D6Y*+immNO*mcj>otSw!YN zl6fU$?&!d~>**9beWZ;(W=4+eg*3Icr)Qqf$)(8~0OfhyR~chU@U%T$b}s!n{0p8M zDO(2uHGsBRd~-D>p)Nw)sE92mBF>(dC+M<4#Qf0n76r9eAu}($>=)ITdrsW{CCIl+ zpnaY%@)Gp*#SnjLC?1580~a(B-0afY4t8O9J9L!1$HlQt61JI{wJn!%xpg_?#kuVK zy}IOLTqD1Bn7c@=TE!hLA-1t=J4Bn)x^VdqpGSwvBD^sw=xjALHM4jABHUAM zFutc!_wkpCWR^7UuK4LUYxM_Gv6sgRgA`JKe;;e~yHfo{SM6Mh5r*pZCc2Zzg zZJKw1)gRQSR~{O8q32mz+Gyt2-~|ce)9-(C5zWeS_S>>a{IT9}()DbJxpxJIKlbzU z8%WY~NEyB!(U06%jmz6}be)$>vTe@Q_L1%o&0|)2=at0|jC4C$J+3S3X_1pTa3EG_ z#u?OeM8fNa;_BQmof*9EbZFr4lv;Px>D~0)PA-9FQ*rOG0k{C#(k3Hu=1zd%=;eFa z1GVP0m5m=Bsi_<7xN3-elK-7ZSFn`Y=j)%}jt<9kR;>D(>#}N5-B=mNs`thp$emZN zeIrEltlFzngo!Ty_M)$A5)R(ee_l*Rnmhk}l{yA_!R%{yUTVr!58P~vrUUe`aS;d> zN_&Ru4m>wz z4&GEnGLz^=jO8kjUP10l{ydE5j>b6igJL$$2u=l+5KL{)S5ZQPl97g=}8enKo$zXDdM)8toOh~prr7)9dBC*lS1$r@> z)+H;NdMJj5Fb|Dm!!AN6+S7-ff0weWjs@GoCg>`pe7PsokI}s71Qv-XSxq2TL6KM%wQMQ_B&02(VJ^P^rzvjT^h}q?DGH z4ph-=IM4kx+tGMur(SnGQE&fE(9u9a;dtfOXzDEO%oy*uKJFoF*>@~iwJB6!xF5ra zQaAC=86UQPd%N*=c&1D4vd@m!w-!KxN)Y4BuG@H+JV{M$%+(vSqEMMd*e+!BYv#sm z&iN$DX@nS!7ug*|A&=XZgDQ@PzMVef^WFWc+%Ee2`(J$iJatLXe_LC|enEH%Qz&6a zhExxOg+kV^0a^1gqLD}5_88Y%#L5j^pHC}2ZRGm=N)k>3VP@>7c3lp*&l&p;w+(!3 z*A3XhTsrA{B(v8}@Af?nxozq)M+(OWkU}p(9 zvczSx>JH0V$PmWC|9d}r}ms&$- zO-HGgpt7ttZ|Wa*A*Kqlwh!KY?X00SbRaW=Wl|$OJ8ILUAX@1~N+8GoKngaC!ff8p zHusl2^x&v6p!U@`{X|lh8;wHDh|&loUFggd7^;$wan;4MhgWS5w8j`k>yg$3TmH5)4n?}LRH{P%~Cdu{| zK}_6!J!XvTfu{pBtMy8fX7M51#QqtXd;q|`@WHWg;}a+1B+4r79oOmXHMQW4stYhm zZ@AY?$TX;+TAf5jObEaD@)uTAe2w$3X?^lY!vMIvIGG`S%*K%kWi%aS-SIUm=)Pr686%YpF16DFp#O*$x zc%Gx$G|s8MNoD$s{*2M3SBg39$Po~kD7$R~LBByX;ZyMDzPfP-bwV*hun+9ZT* z?t4;}Ry+C|QstL^(U*l0^;klyHH)}!&=|+56j-{$MBN?vTLvWGDAPhDo7?=Ui%IF* zks2<$(P!H%@f9*MW(`a09?N89^<@C+2}^ZQV^vcx^O1~ruJf0(ASQ6Lv3+t$Z|sIw zC#BCuY{TOX^Y;$0HncMYRje?!!eylP^XQ?k{ryH9 zpc%lh*fCL~G<650+JhP0%Wt>&Yp<`~t`BbP0O6o4}FWYi`Z zVnzN%4KxcG`xMfk?b53q$?XDxzD(kyV;dOvr9!oUoNSe;I*Sf_no#P3hI;;f`dHa` zpd^u9qY4?w6gpkY9>IE$AdcY1ky+$sxZiqEyTw|W@Lf6&$?S0kr^DWUuaZvHI}Z{j zeE^Avvx%h1(T$k#sC3KXi+NjeaxxLTjw~QrZG1iyI3?P;uAz7`FXhVMZWkg9d}r_%tCz^n?x?JU50*JHIA(@Q6I3?+EG9wl{(TujA3)7nqjegsJ_`K@;;-SZ&09~eqI-~$ zoV>i)WB@|;7cvep=gohk4%YLFNk~Z81g%i6@ph;z3f^p^8@=05lu`1qIJM*(OJ}4( zu(ZG5+#P<6tf9OUiw5Ef`}rL!M}&`65?jWA&OA($Bu_j&5C=Q151J0?_W4F1qG1oQ zT7v#qH>oA)yBD#TP85yB)$qh#A&Y@r2;{9#xhpUv+ta}r}C!b7|+}C7m znS*14vI4UCtgZGVsysJVD3e0dg|7^fuJv;mo-q1&1XhX=F#wQ=k}2V_23u;r=f?;G ze1COmwTh+ipo-7YRhaY-lkK}dS1s*&V1$V-0@Y1~Nk(W*TXu4)D62hZ?9{%W zCZu?wUHK+Rdc?xw|(8vrl>AB<%3rlRjFNugSkJ0Y9wYPGa-wNZHJE-?M$%Y~J~T{Q*_{2$qF4sS2Pf60NBc7Mdo)93 zqn6hbj_j0e{Ba9j|CIj|22A3eNs-$1*P1_TTtg+m{2=2~5{)z6w4erXHNx}e=>}z1 zoCa_fRJ8Rt1*B9JMt9L69KRqGW?I7-n@1uU4BYa^UAH0Y?NF+zpH)rg%qJNQf4uLD{ilWv9S;=gt58H&gnVz_0@D*1qbKTwM_Cb`JR{K56mCTyIyB+35sv%a^_7MF%k2dQlKq;*u}p9t@K)8 zQWgqvNsIOi%G*jxX)BtUndR?d(t2V*b>;br-QtmS3`;sjYmnHr%M z)BVJTJ>Qbz@@L8_1lHh*H2yiGGgtEUloEj)(RbZVtFtgp^VWhHv}apbBx6pFpO~+x zkl{uCW?!EYN*|L_XLWbqx~$5iMOmzh9@W^WA=WP_bREwYW6QQ_9S>N-rWq~0aOq}U z^hW|{mFTLXJ2_`vB9D?qBwv>O%_LpO82v2|0U)zMZS`PBoh*HgH3IEFVN@6=kVMd| z01*G@|D9Ia`u~z+`aP|VW_^Bw7Wy;ZDwbv^>$3ch{iNX#$oe;)B%y5nwBZm_Yf&1b z?o{6orC5q4_mb;4CvLkUoau*zcKoZS`<^bT99_(fD<`@LfVNQBwYu0t+IUW-&DzpaSIBW7M!U~?+SlrYL& z`BWKK?i!&Lz58~8xmJ5^+S;L^&D+9vPBrABk&mF=gqBSpMdhfuU z|EwTJsRu@2*nn7BP->Ik4djM|TtV~KVMYSR0t~Zz;;#6$2$Qd@SmF6|hV9#DjS@aN z@jv|55_nD|xFHYSO8?BdRly*(?zfH)Yb-|4NwJXhPiivSK0{5U??2g_bl~RZLvefK z;xjduEBl=8v~~$^uC@*tUW+(k@|ucxuHIWFupol&bdY~REM9*Y8krNfAeaSC%#R;{ z!-8lnn0YnFtNPBp48)4pe__&h-|YT*v1<-89I1Yiq|wBsnU7TD=1+=M#VxlkD9$w_ zV-sF7osoPIni^1xG};EIu_va$y~eLj!CXeAGfbXO7iphe*ly?A%(p6YWq3wU~>K5^-f7N`f3v00u{=e&d_tb55Zt zd{4g+_U%;G#fbdNp*cGwZ8^70z~;#XETxw;YdGru0J&W0{=PhN4&e%LoXk!RJLIm{^AJ&E($+~{Kz$XzLo3TEo11`8{jV_i0wE&7 z5he^~IA=#kVa_s&!miI;E7$$I1d_6?gL}q{gB;K(we+91Ch^XJI3$m{*73Symhjh; z&m_$-2cwH^pS{yT+cb-3_{}!B?zh5#A0^PC@>2ku6V~D6Q$+J8I{5dUM|nzvbm(KZ zr}{PFPW-u8$0D3-l9Yk)1Jja#`^Ik@Obp1F5gY)JX<_TCH_e6@y9-bWpMb7kDS@>FV9!=z?yZJb(Z?wx>nW#u; zG}-zXW(pv%`NpFxoDjuJ`pvc-_NNa-Tch43%m~q$zS%VbDF$g(H;su}jm0MIBw*~M zp5V#UeDAh)Lx`<&lkfFxXsBP;TtYMEhU?yZVrVzBP3d^K1)8BikdEMA=$$XF*#lbv z^vCNztkv{n>TA%_Du=e|Ihh}K4 z<8B*Y?Yi|Svjr(o5h?P^zzeZzJ9lRFmX#fv*$MKWdrnTynzcL23N*$h7Iy4vP^d=uBKbe!h=BHrK2mPS54- z6nDip>mZZWP?8`U*<2l?=j26RUjJVvEj=_k7NrbMhxVdKPZ^YHi-T@VfYg&L2gBjZ)}IcH z;JEYGkd1A;2T=Av>$tdVC1f{0t_hchI2c$ns(#>e5@C95ctQ)LS)&3*P6SO2i3$WP7AgA_ zi_Xb6#@&HI6XA(3qLnbYCnZqjr)l!@=U|8-qVYOVlMh)BrN9W!xyU$$F0f4WDSP|U zjK6;Q4V|CwUu;9a$SO4VgfO<-Kczmti>Ly3{-ibJuP6UknpOgL0r9Xb*~8;awT=A8 zhF~`iWojn|ftTUF4Oyxq&(@iO`cqRA6ZzU47^Qk)EAp8@OVTGZ!rClrIwr|f_}_;= zX6w>B_ZWRl71K%Z!p90;B;h_09A$!-O=2Yw+G6>hL&obGpIQt=nUJp>y+aXtC%SN4 zBZ}(iqL8ovSsZE>sK=wd*|1q~y!&8LL0wO<9ap^yx!|j;Cq}j)UbT&~OW#FETbxii zQqTPGVa&vU@JI@sI<+`flB<(qT^%z>ihOM`W9bFM9;okUuYXjnYu)LmbJ7bn^rt_> z2LA>OYJ@;3c6j)QkVfPi)u^iMd#aH}NF5?i@z^uCk2x$NJ9Fo0TgM~LSfTu`UO`Bh zOm~~`d#wb?|G^7K0}OUwlx{JIhKZf~xQTL$$~0l?u|abWKfg0YS!8f;OUU?nk9i~} zp70dDfSXREL=)jDGf+R3Sw~4h2|+OO=6FTO=&^j_A^ZQ_t36c|omMlK`u^H{A`?Mu75(X=dTZyQYP9;2H!eOmGH zn3qFYVAX#@Gn1kqP`u|6*egG!r(n1S-aB+Zp#Re^m)e^Z5CM{Z8Zi>?rSt>`T1(l@ z!T!e83Ii7a)2MpCb*J7~(~Zu<_=Im633`XJfd}TNpwkVVdI%p3vt$6zTwc$3Jg@FA zH6PLa+Bde7EX@P2|Jbad0O%g&DwT!5p8NPwToilO!)J?A@Z$?+mL&FMt^8#zLIWKe zyKx&Kj?1{(eY?-KILceV(LrF(3G(lkhpXrv6AS$@9l(YJcS%Jw#LX^ zv*e9ZXW36qAkz~_GG#wW(I`Jf=j32RG5tFBuJ|U#sxQ0n(`KlEPyYmzw>U9E;aCYV zM%`#q5_4G?WnK)z3KMN1-(iW!YQ;0t{f5jP2=|?+dc>B4!K3ZTlg_q$!B0A;wiY3v z#1!}JFd}k-wy?Zxzlymqg7gK0D$Mn*5xfHBLRN{&F?M1Jz5>7A$t-(0Jr zaZZJprgd2)aw0`!QWq}*(POj<3yBe9^~-MycP`a=Y_Ww=#v<`3v$Iy>U*Upoa}@dw zCip+7^WW6uB^L&2DDIwS1>9#MEu!TGBTgtgH2gNuntVqdH|dni7cjb72kyMv#*i;! z^t4`fIeXSFGb2MGKLxn#V$P>AlZ^kXfNwnCKE3aGzVc%?tzJjtaPP7v?Gd1*6;Co0 z%TO65t*?lg4>scJ@E{2B*Q|gJP86LWoSqA-=trLqg@woM_Hz~aASNih_N`eYdLo+d8 zswv!%7n=IBk|+a`CwrXsMg+T<3aA+E&$+^6fEDJSzS%{KVw;^yVekKrsm;=7d?Tqc&}8i8Ebi;3cU zqxU@J`6YeB;C)T^4mfou)AvfCq9EQq;Vu{eb7@c;!_1=DGT=-D_l5-#F4J({t6$+`d@9gZs~kl-KX-ux}xQ}PWEQlYf}r-=bNuH_kF zJwo_S2K0CO*PjG+Q}Slw|6=MR8mlnEJY=|EP|5R$umO*e)se0KlL`dv6`X`|GU749&_4g|0ROa4{U|7v2QAT!mO)4#8R*>c5hq2_GUtx622XQGgRi~4nIJa@ z+TgtEdr7@XHcXb9D*oVyKHJuXA}CZ5uxN$yt}<3bz42orw{r-*{A@CW2HfHP2GVv# zXiq3_FGM}pt|4KpHQ{z@suZES8F2v#_J4WYZu(_U5Pc{TKhPBgIGz%OhSvWg+DE(W zLKJSCTBPbO5pFaY6iA}Tr(kbTBXm5)Y8R8))@bP3kMk=n&1r65bmPd;jLo{HxXp; zrocNKK8fd2Gvr@7es-vHCp|g5ykxlN=}$ZK4)i>c8w!(iL!B4&Iu>_nsUPfO{q>5@ zS<9AA;u&E=kR(Odqj9cZ(BOK0kTldpH)=m^V4v}H0{~D$X=7s}b$gfbeiylh3f%9U z405fftEx7PhW}x;d_&5IcOLVf=l#4-M`$%NzS-7Zlt;}ygGU!JsXG9RI9zk9$pt$oV&tIOsJEJ(Vuo_!kIFVocDY}z*c zmnpflV;TZljvu~wY*TFGuj`6E#u>Tyz-6{$cYGI0FMsnqcPj6jtY1%9*3Ve6Jm|o3 zeX$dLL!+7%BDO6W@7j~>y6q2^=^otQ?{-H0$r7Km+Cj%7}%0=K(N1~i+ycq`X9&u-bT!2=6RC@KDoJjc7A^TR(9}{^yMSe zq*jps+7{FJUSqu4(z&vaH}LXuJ6ar+2DeDHAF0f-m z@fXm9AmnVOBMR8};HV~IYVMZQ)Ksvex5?OMcBk0)h|Wx z6OEegK}P_GLKqqujh%M*L(d?hT2~C~lq`*N2+dAOGUK@@YPQ$t+JC3Vr=_hwprh>@ zl$0Fr*4LN3iCo#@{V4P7_P`W2SwaI>K-nFPNz!PE4tC2ol}5iUbQDeRjr**i=2_+trJJ9xHd>Hos2pC^ z$IT^rH%mt6&ykx#i^mRXZ_sm@Vhe4IP+l@Tjr5~uVrKLrHa0S+UC?DP_pGyJV#KOT z_YLf-X3m7&4Sn+P(W7iNvGpDIn?B$V_fJLM-VqV$xl1mG*Nyc(dRx+~o3mfL%o^P{ zE*>xENX6zw>(@hc{cX$0BYK)}gnG!K2$3(Zk5}&2k>-}NeH0ZFlPfek{P?ilG^yA0 zw%1KSn%$2U&W&7qjUtuw2~F* zHf`0WA6oY^jTEUt5bp(z;rK0mn~#yTZ?Jstmlfx1EUd z?bm;dEwQN=Q{pq^#v0|Q9uhVk?eoKEGM=B{GTLTWnO*)M{9e)6BV1*hSqwFyD=nn7r`^Z$A-u7A_+_!YIoweuS=$guKc zcWwVpZxOYphRT_Ek~I&)>x1Lu$968BH6FkAdIFs$1s3w<05VX|B=Y87ECq@l?&IjE zsEj^F9LVBJfq{Wx;m1^pi@!P!CPYN6I&dIDQA^8O5etFYahw=^_1W?ync-)$YX>mX zdSG6$x@UB9Dqj22H9jH?S$qVQ;!UJs&tJ^^5Kz;Vyu1)6Ux)~a} zKK`O@K~PahSy@=M!B?fMqJj;A>rmGRJMJz1F?+TrNBHd}!0-kgWs7EEDTor=N+W!; z?60AF=3Je-!TN5TRZ7q}>Ck%_{0FCoE$Iaw>5&_U+z*6sVY-JK>c%?ij-Y-@#Bgb} zSv+`Oj3p^Q-5e0<-hw%D^JmYVze)9%Q4j?%d3b^HysonA-frZt=%G_S$E||GadRPE zx->!WhRrour^cmv1?>jvL8tZ6$y`TYj#Ixc@tA0)Dnxstyi150m37PwM30LC3|#+{U2~JGy(S3?UMN zkabN>TU#4_AenD#YPi_gNK=6>CWdlE5-asS5_|ZsU-Z^U=-jJc3%Jewc0|_a*Si9k z&yRZN(s!Fg@o(Yn+eA^p20{}u=oc-R(*0UJ8y!OWT^&>Bhzo5af=iFoP#WVvh$RcyMv9Z~oeevQ&vTbF@x_;w5g5iYLg3-C?ISm*nwA8h7D)Pm~`D?#MoW0f%^(&grl)4568jXmnd7E8=PibG*w~h9?0ZpN6 z;^&YW?5wzKp3nUI&%0kFWZ7(ejfUQ5p_QkDt_|@ z12Te&8>_MKVYd$dfg`7nMrD=wIg8lHyE6(JLrg~1%VH0X)!Uq$oD>v_%RX}#MTQg? zI>`4eS$e~*zoYJMLY)l$`kJ^{TGT2A&L!j#{%MCxrKwNro40SdnFp+Jo05`40I6=% zN|>5w=c5trWc?;6&4UpFPro=~FfsD@H+0;ou}Q!#E9PFyo&4srY;0{a+}Ly7*1p7J zA|q_zl|8O*A@Xs`SLX;w+z|N`3aBBE)UI7knK|W4RVY~;&AHu?tlZHdz1s&3{pew8 z+fi`x@p}iHhJ($BAZhZVjH0sZ;RuGi+;&Ujqh&fui)L+ijm^z-`8mFR2Da9b^tBWx z2pnFsA8sjtaq;s+MP>BHVxprjF`uC3rjK=C$1j2a%}OJDBR$W)5{T|-8fuIjYvKv| ztl)TaCTay<)YbQhXOC4MzSo%TCt$&{KNy(7`SA1Sv;1Y94DS=ICRjk>B}-O;%QQr; z%C0u$!H0HqB7C%w+C$dhzYP3rak62a_!?NJrKoacd%=mSL&E3(;o~FVq9X1B4_d4X9RLWthRP}i2SS_i z%4e^bEQOcFXdpX>$cJJi!dv}D-coe)X0pk0_B)MszAZ1`{lnuh&JQdhdsC($?%=RI z32?#`goL=bI+)g?SNGJZhu42tPa@r;|6E(8VBxv}6$DnBR{!;PAZ%}@KwPtbg>HU{q@4?9g-PSp$BBjOoPT2!exRHkv z0sf%P+JSM6UYF+Ay=koeb4L2|RcfX=uSbei>OwM5x%5h?9&#j~mF_A9Ob?brj#o4-)au|^qW3W_ zaL{ivxj*Nl9c6ji$`XK-f<&t*Yrf~d0(uOuBp_jS;vjoR$BAR45K7xUpCL2!Oeo25 z@ZGo25>eX{_$AY<=uq?dt3(t}oH%jH&dyvcCN9o%=6u3RstO$MG|$)&X0<;%^abw2 zTyzUfaTarrpO=)90>pldbWa|yId3%)sGt3V&DX5Aby&skJtop3z{cMj>d)5cHt(is zq}X!!x(DGY$X{VdYvV9du6y^om%Vn}0y$e|sBssQhqSnYby`i#&D~2&_dtWmK8Og{ zS3VJd6$R8Ws*}>4%-lbiMN6KKP#)8y?@NqGQd$#_Ac#ahYHIl$5ogo6tn)0pYCa!2 zXjN6r+)10Z|3Z6a0nCSl^acvD^ym+kepV^EE0ld~X1Q`r7&V_27~w8q`6+ynuk`1` z(|u!;lQ*LkZUlM}2m@?8k#gW2XYHCo6VipX>}k>C#?#4{RGEvguYmMNsWO9(!YlH7 z?h`r@_Tg3%&o~X`HEacVgSof?Z{G+lZ#?>j4(ERFde8jaAZQ9+kuUpA|1?tyf0h

|!^2aQyOQX~gMtz!I}*D~1!%;kqqX%1&kW_WZhErWCG1rFKS*+Fumccl@U_?>Vt zezbXvD8MMy_o2PiT;C7>qp!O4FHXev>)Y%(ro`WP9A|oT)qH=;U5FPpL!aM^YZ0OV zlt4b}8MQS2=m%1CH`I>x8QjJe$GrHD@EH4*{&E&&Ml^{Gcc}ZrZ3=`GW<#rp8+AtX z?)1HC=^?*_N36tYc{Ha26KVEWPbaZa=mO@7M&L;;fjBhcKOjYj2Z(UmD4Gx~YixF? z6vU^Vw4^LP0$bYM9G0Dw(latrLYT1*U@RqAGhrUK8bD*xj)a`7gn-1NmS3KmZ?G27 z7gs4NZjDZR)gtCA-Fz%Xx8QC#jmD1Vbi6z5d;nvQBSx?_l>8W)gQc0Z zTQPL zQW|!!emopyLu^(ozKr+|wbv$@f*Pw_HKcJ@GJA0VObq(Cfm zF0lpJ8NllxkPVMOh}&Z@fy54ptp6&m$G>3AUN#>A9Z5+M!|o`+H;47PBtlhSupPeM zO-$s2L)yD;E+f=Te6f%{;U7Q>q6+we0)MWIi$yO*fI zN1o?rf$6Mji1}nzEs!*8c=4NH0U}j%xNIQIsUKniGw)4EPk8z#uEg~&!yCT2fKb)w zrl?ewcbzaYAu+hi(kuGU&@S#R{`JjENL{?yI@g`VI3&q9J10<@c}JeFDOR0)_>IjS zm;LcytiiK6xh*{)t5rf$gzkLeL(iG;odUJ5eINBo$#p*NzqW=nSZJJJs>Qu5?rz#) z(3mwF{Unx+=UI-2?8=Epj^JPW2dfvw*j)?3z9+hCWOU)j_I9#}ad6{^{?lMe>-3ZY+?bw_d~GoM|+y{$<|nD1lzUfhM4&V^JRE(=v~GRekN2@Tf2}X zo*Mkro+n-iw&vKiSwsB@IbfLtnSK5i~9jqrp@|X9BfTI`K>vU#@#<0Jw|-u_Q$O^jgF|RA|QNQTkD5xPY;1B zAkyfSMv*~Q2NI4+L`_?(UAuYGdS81}T+F$Cy%q=v+$~pEe3vWgVLKS+^QaV*#+oF( zSkB%N6;{hSfQ-E5+GVgxEnZw&`AAjf{ofo_>`kFQPanQGyk@WXop+<}=f=zsC4ht? zw9@d0>pXZoNDxJT06Ee80nAw3{rhWL+mHaaw%K`uB}NPbb{lb8cs(<(lb^Y_{C40! zBOxJ+f4vtt{+8U;@b_<-ND%^JhfiapRdG&NS6Ghk>VjsO!Su=3h8SpnV!@jI`~o(J zwRiNJtm)JfxJdyUuFn}x>LY>LRYPPG_i=-6VVLL7K_IrB)6ZTpCn|J0<uaCfCJ_0|61_C9bPuXwu4Ow+9<=s9SlMu_ zzAL>~b_RtulRb1e0sx^++4?mSshv+UEi>56yFU{t82PsNtkBes{8$pA z8(+{elcu;V!JhcjXF?>&{vO$*5^Z4j^tqD*%{+ZJNY*erDeh=joH~uUsU1n z`TP&*{VjwT<@eqPaJN8=Du5Va~eINih+q(ymEvhfuU@jDMLS4*CAN~+vvw}LGwHZkdRXu?sk#}9C9=wEw7;OYp z*-bcHw7YJsPrxP2TpjedrZfr}`pngNGDVsGHjBY1w>L6fDF)=j-g?Pyi?JsQgBpPdK%`e054QRV?9cMWmAFXy^c{qS4N6glO^-tR!ltfl5~v=6>k6grzu zdSv{!qN62Hfl*LXE4;35YHE5r{Fo`w33N>i^;edqpVY8^^{(yEqwya;g@H6cpT)Ic z>&gHGNryha1vpUoa4Y55J%kIEOmgh@Z?R@Yk%j9Px?|A+@hfh9`8R=Su_O83iL94E zw$0d_`t^h|F!?+<`EP8zQ*KjM10L<8npT6MuUFCHI%;nTmTHc(0vpVyi% zE1z=nruSq!$BZ++Wg@kG(YxcZrOyU#^+Nz_&3tA{QMAUFt4c8=j7ydZi7;WJ2gWCB zSDytav#Y7OTGbop&Y7(^> ztSu@PZ)oJ9uS*|kTI+7EXIl{|z)NZ?8WruH_=EPwod6}+klZaW^LLDm{V$UYbiTSH z4vEH0$TuoyHj;_Q1h5sNG6Rq@$Zrk_8DuGMv~7QksUu=19aTe|cgcO8QlXO=VWVLk zB?6^Om!p7Bv4Zm$@uw5;67)nQ8jK9c7?j3Z^Igw9#x--u=FOI?jCjt~R8)Y`0ONZS zXOEme%u$${Y}IsPw7^@cQ|6co1qnAn#)(|PV#7I7?H8$ii}-*AdG}Nl7A&QXEA6f? zBL|Zs>AAmDKc6MI3Sd`F|InQ~j;kbZ616vsG2ccbhiO(fA3wbcA_j}Eu1Zqaa6MOY z;a8KRE0MDXijo#48agop&u81M zM{O2SD^jjZpkA`}aLq`l_EW`Ic)9MT+}p^TfJQ#@U28sZ6O1aD3gB;G)Ie=VI|hL^ z9tB>iDfzKVs@75!3dS9>EwpF3J7q@iE|!tJZZk`ux;g($%*_ALc28kO$qbyX#J1%d zNXI&6f5!gaA8(iTNY#WE+U?1G)BSB&8#ThBeHt@&_=fR{!smB6s;Q}|28u|Ka;fSJ zr=?Q1)v!BLF=T-Pb$8!!bk@o-IOLbx6#Ez{b^9si+kl6R+THx?hwL?Tdbn$MDTL0N(zO3>sGAo~{O|F-Qy`grkM zp0RuOtZmMGF)2$<+NYpNJxg(kR>XFnHRpypJOC&M?%CsBZq{wr33 zd5L828KXNyrQZKdpV-FKS={>X#m7SY0>%KCv5W!LZv5;rGak~^D(cBD#C}8hl%UWY zE6hU@N$1%X_R z*`GPE*_Q$}CeH(Z^i^9Yz*@>VtM?1;Io#L&8zWbouzMb}zHO88!|F1ph@ua zMM%;<$xgvuk#ru+m3lC9+SF6oTyzF-F<~%g0+j3OFdtXSsers452J=GWC0apMzG6T zYnloMH0U_2PqVSJ%SJ!k0g}*wLMb|FW6=2D|D>8Yz4Kv_ECZ%uEuHH;Kxjk+LQq1g zzuNoj0l%{XnJ`!;CnU`|WsmZs=f;l8~9vr>$2OE3G&CiZy zlixrE%5;uVzqn4I6qRAPnHv!>ClnX zPtpk#nk;^}WH2xrw&XA0(bM8$^}~-K6eovsxj#_sbK(z|clhhaw?x*-FX*Pli@e1$ z_NM}HmPh*@(HY_D#N!m)Dbt%56~|T5SRJJq)=;daUPy94ojUsulNV;_3%a>dxXtw} zGh6Ia<_Tm&w0CflgVk6_iZgkEz0V270CTyej?zaDElus%3!(%0KHSk?Ny5zLg0#sG zW>$((h|^|2LHb5G5R8&BAjCtILZ&!CJGb%NqG0F=qrg==x?|74=kc-HNmsVmN^iJw z5%N)LKr)M0SOAML^lZjXo=NV0tLe`Q>K3qvCEzbJ;63VO%V$0w>CSBg)yxAr_G`(g z3jNhoVSUS|&!4|5tXq%o%HJt1cq70+dw8aU_^l&RdA51xVxuckx^9B)<)B& zIj7^78@WNhPS3(s4i`sm_+;k{-qGu8(`f>AC{@Jr?GB=P%$0pSuI`@GKa(bJ13YNc zBPc>Y{&?G+_}^#06I>gStl)kDLPtUTDt>mikPz+#dc(t+kH5U=848+86C9@M9>^>2 zT}8F}RWVdA8~^%k!$lB&5%17kmupav!nLuc3li2F+ya-#`Rz(Ug4FP}XovaQGee&e zVfY?G13i+p#~xr@>7@%i&f-MypNwJQ6y1Yamju*F)P;LV!*aZa9ACUUp*CgidEZy(GETa$32Tf@@6wM#58fau z#MbWSAx?dR73cn(VmkR~uMfP@zs4FABZ&RV4c#mZ=;_)NKE?I*wH3<6C2Q<^S6`3m zIrAT2%H>s4`BTyDTK@Emb^C+d4P6+W?M);evmlRk!)6`ILvLceShu)&y7S;VY}bZ zy}bH9wzdjLw6)rAfI*4-T`2*uCaOdg+4R=C34Kx_QvD6xe-FZ)6xhBbmVXupXr}FC z_H9)3efgENXWKQ^vfVjC<%qAGsped*I-ys@0kW-`H2dqi-_E|Tvu)}Y^*3#X$|h*yhvOKmS~7p&*~Pvb^)c%a`gs4i zO3?UGU_cJj!32ZdNa&ZKBgPRC7gy7_I~;nD&7I&@d0?&53kzuX%yQ64Uhu#Rb>y4lp(|Bl(=i zt}Wxij@{ADEyJC|m7Bu<)HbXNxde%4^C6CayAL`>pB&rqd{pPwNE$fHC%{=g8x6@H zntTU4p5b!R$k^gC=5WVEG89-%A5_j6E`Y|*7|nKGRj0~;FqT#twUx^Je&U2Tcn7m| zeZG!9PDU9 z0T-6^=usx9J!>SY9)1!;&0#N9Tta$J4SB;AqC8+%tAvj5DL2VZMJmYP$eiB|B%RY` zj%(L9udFSfROEtDJa5{wb)SRb9Fqq-eM+=!ju>2sEPzoW+ z*TskZve9`Yc%ws~5-V#hKddzIN>XH#SI9Vgfoq{zS$saJKW{buE`u$tOHNN7CAa`B zN}3@I#s5A&)tOPDqS2bDF`4rF2?V&&u2ZQ2rK$qSUuV67=@DZD8?+`PO0(d+F0+n& zes*C-L*{P=@9y{!9zynCvN9uI#`~n?M!xV-K1T1!AVx=P{8GIdM_Gd^SnI!9ua_>e z`DFF)Y;1&I0BQ)Ct`uk~@KGl)0+#>T_MQ=&kOE?SX%y?p^%gS;SnGEI<_O6HK>|s_ zrR+0t`_vp_YTvBe{{Sp&1|-a41c&nqlp@kNiaFfgl&`Al__~&tBW*|N#wd$V&5Pnz z0o$C#P^&o4V)=GDqG^c16u6yoCS(@yVxSu&@bVDJ`FN0*<0fOy2wxDzY5G6f`|`M& z^SAvoV}_ZrhE%ACNNKecX+esz6p@rR5|TvHe!?KFwqz+qqJ@f5X{SzEOO{rO6H1F5 z?fY}xpHs6v^L<{=>-X>PIe*Nk&hk0$&-;BZ*L~gBEv$sCMU`3ILa;}-Vbg&-GV1ME zwsRlfXR`+HyU41GlN)RlNpBv+lCRSD@R2??-3 z$i|9BTzd|8*YJy=Eh-ZcadC1CFIHcXfdq0+4RKsH>Ji6fd$mW$VE*Lwoj(_JdCb+T ziXi=qD8F;uhJ@?SG`OTVd>v#(tLqN+-;4K1T)oTdv{mbuLu;g5<+&ukCc-vme=&)r=PgD5_c4I^4#)~dTEmbAKz+=$Php{o;b9{S^5u=l=HJ5 zR(LPp2JFYWPLj)zW;#7mzr_qPWNw?f@X=tPXw`g@i$brgiPLh&g9kCo3z61bllE#% z0lIPp`?nHALP1c)zaD^>&Dpf;(xyE5oKG#6b;WGv1V6=GQ_NQN5@6a=y_m$7IM9Iy zl&gCqRJ!X9X*1lxa5n7Oi{{=(GpY@4P!~!N>S-4=2EJ3Byu`ru0>g3v#KX-Swyi3o zOV@#=KZ}9qnA{gDI3Tv`(wI7Ma4~Uf8%6S9AeN3~MNMQ*y~QJRE0i=yn+%#w4k~ju z(9U5IcYlXLc1ugqz-A_?Lyy8L#5i4ocdY9-$@l$eW}VbZ`{NT|flL44u(5BUl7%k{ z}HWOxNDKgOzfMOsDgMsiML=mI)cYeyPa9OGF zL)cs{wH}V?c1xMvSpRw#KRjgVGb6I~CI4eZ0U8Zffd^)X?6V^71Z5j&&>Kvg2JPL( z@c+aS81<}r5*N&y32u~wG8#{wYv>s7WN7e?T7FQjJYhB-N(B{?ZNT zBz__e#;u6f`U+d2HscFZbSKOf69(m>qnYt(@9h~2ERC-6Ka#wYPsSOdx46LSUD^oL z&u_a;11U%5fJDqmd3)w+8l?z#);xv+#NMo~8`vH%TR&|~2F7vOzTY6@%bF2$I0g@1 zE-e&^#_vE=v`Mqx4VAOv72^K2Va*kLlPmYO@q*%e-FBF>?JoYNDXE*1aRF#t%gdsD z{po#5NK;q}uj$~1KZKhOdMmeJ&8wY!@+-M-bO253cKcTQU|J?Z#QOSrrRU$itYgbz z0?{f^s-iDg^4Y4U)OC ziz-nyL86j@7{|Hga`nraxA3{>e3`)S7i4LgGprRsbO|!uG7RY}rEN^mt%wLU@FtI) zNhA&>#n<~*a(Yg%RpdPfdeVLDi>~w)k9x(@w0`_)KV(zy85cyY?CQNi2OfjjHzz3U zzrV*Q>$VnQIdE4w3QPyV#_)f$#kcjfIBvU+<*u*n-}2$q?mJCKE0A-2e?N(pZ1Af| zh|y7g{g@TLnz8vCK|(!i_3XkOG<^b1zo6cCo$_b1Esqm!+(<6yLcgcX)b&9(R$ru2 zIz74>%z2|k@KcVl&GP_WO@|*S2KSZ;Y>dG5fIm=P6Cz03T`)gandj!5a_dMBZ05D6 zR~>Yh$7~RKWb7yFuP^y;)x-y0e>+vo^SzAr8j{)fI&7TfzKdGrBqS)705Qe?>^k)Y zHOON4bhax$r-F|$hpI|DckX;9CCDmkCP$i@+>PMt3V6iqbUcw_R02odv9zOU$-;$fvyxGKQ|-Zn{GW>6yfX z4PxFnD16pB;=@Az#u)4rv^(@?-@_n(VOX)b<%X*hSjh|OmnTYys9}J;VX9-x4ua5G zn)3V|Ke$K1bp96s$pg1k2%R_iX-@#{cwf@ssCZHW;1iua7U0p!1Wn4qpU`z zeE~(0mK&Zk_HU9iW;&2B&s@@QrU%wz{JOjj}@M^ikgZC`GWjT zArzxd{u_HN+#J?jF8y4V(V=olo2O7g$HU_0Ae2i0#z(l%LJ%j2Ey^eTB2csW&zojx zHfpbfQ6VdVQ5p)z(BOYWoYXmy0#?^Qm*Br|hM`as74ks$R|y{h zVp-@=wO#Yrpuzta0=wJy$Fm0m5LOw(JJbIF`!d+X*V~?ndK$h4zlkrLjUxP?&*oQ( zT8R`$y?A`<@@Zz!o=;CIyF&z6EnLXY+fh$ATVyZovU(jd_6`VC;&w325Qc}T zHB+_cb)SyYsE}WJ*JY?Wt2@TAI-cre5mxA?~wZ%?#}~h+3_vMrEn@BKuyX>TlJVk_{8-0vfk7 zyJ5wj?ZpZfln&0#T|qNAf_K`w&BY`m55Qo61>R^YRXjD5H#jOI`<$=!xBMZ)5gv6B zT@hA)Tr0zj$T@X!iA(*U-ygi~Uego*+s0uXe`e;^G?Yp44++cS(I2!AT&1cNW4Bns zi-&yrKtr}?Om)|%V0QBAU9L|)?FZ>)mN*n`@erO&--(rL_;)9LTBo0l{O{sL_r{YG z#`?i^%5WGHo1up{v)%AjW)R0_NxwY*{Pd2{t4FSXDJeQWuw%eq_HyD{ zx=KMkB523t5jhhd)l2#XYCWJ8H#t!IH=l=GrUEUHdr7mC|Da!O3YL|m>Mt#zG{g8Y zOhwNC;s~@y{+aeEp?A~5Ci0<4t;vFU z{YEB+>K6N{ZHyRVRhoD;9{N}LwtNl9Sd9P|C2hd?G9hZ#Ki>jNNCc~oaCHvYApiVx zX-WHL3^R+6v*5Fy5B^$qjMoD-bUJ`F@ibCPcVB zdcJr7rp|?A0@p=fh8WP1bBo|T;~ZPg|KUAZxs1Y^Vd}3FCP(lgS$>~2{EEnR(B6W~ zI%-xX@&kbF%n8%~K%~&^B61R>V(|yP7*`m+jLF`m-=3Q@LI+K1NUrRZWB-7f(LQwM zRkhILo$_wQDY%H0@jVVi?gu>ZI711MkRbK@e13LcDlTJxzf&R~Tpp=0jB$b!xx(X2 z8t4>^(l8SN4^UcR*UOJXot~TnBg8t7Uzi^)nQNG{52zErbR5Ezjt37V|FgUVn6cb3 zdBmCqjqg5VHP@Irf8ZGF{CNB#3ZRKLVHaU>L6~a{X`S$ME!qwTl*zR1jV}9?bx7H$z|S8AJVzLFJb@Q49USej$a%BjVgd01>FxBc%wkZc1i zha=xCEzUPbztFtL^ErA9xM01Vu`etZKF8wG#!VNcmRacMWEu zBsWG6=_5Fs3fIq_?7pdQ*wy=n|68W8z&akHB=BY~e3!Dl=ZahVFBIAPEIP0QdJd#` z7##al<@8|C$cmZ^6PR-<=DL!>@5=<@R}=9uxG(eWZPU0ot`c2UJRGoK+vF|LHFI4? zk48vHhwiwk9s}R2sn-5 zQ)Y04kMnaAqh~`cRF_=IN?C*t9jj^EhR7|rt@R8DG5B7V4;bss8YOR%<~zk*;Ped> zjVZ~(JyT55_=YoQ9RGe;Y@XxZfkS0DQ*tT2R{KYj8+?0>9~9>Di>hT+pO3t`URV8j zS;?ECqC#kDN5u&ooZ1Mk@#?gSF`UfECACtR-Trw3ZsuGI@pa z`wz>i&J^5T%Th%c8x^~uyGsegx+(W9&@hNc_%%N3uyV@Q31~#(qMr`$PBvvxZ(xum=9iO6ExGbeA?2 z-da}v>T}Y7Ewdm`R>C`b`5bINDG=dNP;pc}zkQ+o$aY&%gGHCqqqGa%X9Ex z^o3L$xFvgo%OV#xObn7- zld?B{^PI{fn~n&j&yY)RNebpW9@0^*&ym{klvFEJT-19z-QP548 z-tdcB$dM58?Jvi@KD zNc-BRct?fUPvi5(f}Yo`fT=I3GZ2W-ae1M|e%UYo_>rh`D*Fd76678P1fi}30FlV^ z{73E)B&8M?p4vyh4LTb&_3MN(m;Y$e3S;K6WriX&oGXZhutpsiXcoGRp(+a3%B*g& z@0*4eF_}0^VJ82&n2*UxAX#qV&+6>Px<~%Hcd@46YB3-`{oPQF`Ro1&^clpIe3r$0 zdKgsQ?$UKS+^~biB|UtI0~I~^5R2;ja~cMJp}8QM&jI6qnZ{9c=EJX{JoCS(B-3j| z$VG);L$-DBppRMKW9;%P{P!9}+W0?sSz=%}|DV__mXyFNJj*N-6+kma#5Ib;b&zh( zj-G1LJONG%w|_=hk&WmKM7WZHiRYeva+jx<=bQp_+RO6mT@&+X6czYM{na17%>6gB z#w1b{I7o);!o;g#AOj0N(2C$ zohdNpXI1k05P^;2HGN~WwcjttMh(BQzS*)ve%Pn@1`W-@WuInrtvwWw%!w9{8hkaG;GC;CX6Q;1^(+9dPUV^)F*STSJDdJ~OnyCEw?gEb)!doUaCVn#=xy9QS_R=g9+4(-yPdsE5?ui zKo4!FLJRX?PR6te=$4>4vro^<`rflGg+xfkIMgSNR$pEy3!2VrwDT=b3?RBcJv4(> zy_~-WvAo~hBDD@v_tpq;f21q1AD3X71(*7Sw;0%R|vwqi$fxK*m%u7k2yk zM9WkZj`UFx$$xwQfUk8bgy)pND^FtdpZa^618IOLTF)?Q>5byvx2ZH>S!peQA#efr zFmO_T6N*h6NLvTfnV~SFp+3-6)N#T7ZK@&-H6+1eltr0g^A{8>AIkJQ4>@Gkw1>Yr zD6H=^8gmZh8*@ZVZEbBJYy|IB7N56cwR`ugFbL-$tSL1;u*SHBZ|D*5WTK*f*M%lr zVs`li`{*<7@KUwq^}x2Ns>N(W_9?KX;fu6{#(!X6BckDUfRP zEm*K1-d*u2#0!&4lot%W^Nho?8xG$scbf7V?145HJM}Q|39uiQp9eCPi#z;pP1TWnz(n@X3%Z0!WT>Kx^%<% z1Uxl~%YpQ04i@M16H~{FgYgHze0oXT)+yE9B`MdSl_VhnwWUDJ*Q?RkAtE@qK3>vj zUpu!I6~_>Ee-|&kx-YKOmIjp5TtD7@WL;FG;om=6Cvc4`sK!D?%@$)-q1vm zLkt4JC-;3Jp50#@Fw@&clni9q z81p(m@1#Y+ZH#Y^0~@CEO}wWdZF8s!fT$Ee)97h<0Z_ngB?4FLXlgrZAQmU8o57m! z!F=)kzl?t%(*km!B(=8`5IqYeQjd&p4@V-!cFVgAU8&CW?4ER*Qb-s@!v+19V5x8` zY~yLbh8m6kbLMe`(BL#DK!xkgj7)5cXM5oDPCS**UIIxg@w~3uFma)+js{_+(7@iD z=C}(}!spWMf}+wglC4v;t4LC5d%d9s-OsWcb~~2`yv>z&!TZ+GDB*(*B^)w3=o8Ev zck}nArbn4Q;68F_)-$-UY>}~Qt@?D$kkAl^5RfL6R`2i*k9D8sgoCUkc|tUutrjt? z%mH4pwV}ks-d|5Xb3R}N*AO-~C>NlZ4^#r&9QwOz3owoSj^Fr)GV?I#4$D6q^gR#P z_lHN|L?8VQK4UXP$Ba1VWldZ|2402rPh?}mbFLm5${=OO#0bxW+HT4Hb5SN%drsw&iXJ>o(j|ku-<-1{h}2c8j~L7+}62 z#Y17G8J%2TUeQ2r5wl~!rIGjeqNiy2@OLH2-?KcRx+i=71A3P7I!Pba>O&JWCl4@J ziqX1?o^7$_%xrQE3{9!YZ1%7}e;V~lYCNRP%Uj?LX}xLCl6uH>e{yaP4<f9 zn|C&>cP29<7M5%ZUFTh&XTPLiCP^noW^T@~=}C0&`p%dS2qv-zdTQW(+#MDktbgqc z=DQG>^{$YwJ_>cNBPzVS2_EbRrz(owRID1#HJqW2HIn(x03b^zik znCQz*$Q>h7ID6fdsm(4$ZrqsII3JR`r`YT!#2zFgJh8f;BkyUDyyr!*>etkW&dg?L+!RNQ>NrD{ z1lsh_=vxhap8}z*Z^!l*{LW2&9X8Ng>l=G-R2~x~ni#cbwZ7C#xg01mZD1YcSbhZ`?h@9nk!50m)aI#*>U33$AJ-= zEEE#`8$EySmLw?&iS~Dg%q!ar9LT;wC~{k%niWJrCF2oznwu=~L{0MPnUUQs4dw%B z&b=STvQtYNoGR^7xG~4GG2xf{Jl4jyg_hl| zUp&lIVJ$BJe->H)pimJ$llGsM7TO=>i8QkIC$*-`jw&AcGHkXf>(slpKbG}M@yM}J zRhQ-@$IG^MBv$+|Vk(e9BvfCaU#Tv>FSigHW0N5i5`Y~k31#R0=``Ct6`P~mBm1A3 zLEiGQY7?O`zR5-#H>2Of4ZYVxa5r9VUl zU=KW|Sx-eNrDL~`FXf~&X48sfbRpc>2_G&_p?VFv$o=WS40LG>%npFG3xA?KRO|A0 zeXypj#dEHF^8s|rB@jdB^|lo0EMLBy9H(*KQKLq3nphPO>%lut;TY(M20=l(ii{f4 z6eBGycPMjHEO)mcgOtrXIr5XL)e){ey)@RfW&K5UtA>V=9wH0sKLy_t_w4*|)#s;5 zRP+AIXczm|lbIB=Nh{B@r>V5|UcAe5Tb}|*uo-!8yXlHO2NtUc$*|If@C=wSA-=T= z9M#+&S&8hAaNc%2XC3w7t+hc_*~31Fh-x-t<;pApyOA@-<#-BEQb=D8`GhH?TtSa1 zyH&Gv6{XH5_L&Q)e}RneU?ZN{mg#%pzQJ8=6&w3&OP6~uFOcm=0Rsf+JSjG?&qK&| zX`^ACWnXt2@CI)t^ScoM9#JQw%ZCsHq18~znj#KpbI%OhAIhX zbl%9ddCY6FxY-vLJ8-pPr4lzZH8Mx@Fu*2@6JUnr)0yp1QHGc73}$x;WxFinKm^W@ z-B-%?_r7fsiQxecNG&RpoGWzh=YYdwS1}Pg#f@&0Lz(3X4%VL;P2UU0;s>-rX5pT) zakU`_*7laN`;4YKzE~-}^%^g#IaXrnba~#7Uylbi5^|3X|*j^iTu534RSL(CxqN+>3m6l*>Zr$1)xl`d-Q()6&Y0wY5uM z#zlnN;iE3rN*?3MzU_8W%@62M(rR-n@ns56dCb+m5$ZDFsy#wsU)Ir|v3@Bj_J>Hu z$B+Cv?}SG0^rKKyLcGc$8w8~t^WIk)eH%&~EHu%QXKpG$!IUqWxjD1JZ*%UctcI$` z>XR4e+2kWRF>%+wP*ht(5%{vJr>yq?K_@YCiR7wa{NJ+|;dlT*n|UDWea7Huf0CKT zJlsiGaa(wqfogOwa4_}ijKl7_O8CXCOVkl^&s+UtpBp0E8bCMA_oQ0MsRJXavFZ|& zegOUED(HXvdVAY@G?=I*UwB)B$Z$eK$!(deOkC&Pk4GO++T~jy|E@N(+$pQ6=ZAzA zwSnFi-swR1>#5z1CRN`jWzS!>q6MbxJsrsD^tIg)v-wQfn>sx%tv-gy>2Raz%QJZ! zyx_CN60Q4kM=R$cTpO5}qTAGb%qD80Jw_-oT~dTC(S0t1XVf+8z`4vwt^WW~<(o`| za$&q~4<-_fN650LJk?>_voH+}8juBifla+Q6!dkTV0WINeL^XcfPe#aYJi`qv=Epk zyL$t#=k2huOB4bY*GIwcG^4LRK&7wsRSorMWnk|Gu)BiUCnX8I@BSW~-DoQ>_#D3U zaErMk%jpr&0bw0+569J4mMo%Zr1ObU*7&fVx3v;h4Y|$h+_@8=D--0PTNZ;1jT*7M zy`dJciLk;NbXo!=x&z;qPw|zlh#X#Xj0MQ4hLi%7{_9 z3&)0rhC+g<1Y;I_#@-~SXcIErwIgrBy1W%aTPI##Xyyr-;S;+be+OwTf7Rtq*}wI?kQ10uXwI)a0N8d<6B6}A!g z?=Q+~jg%LxwyA8Ayt>}bEeu`$K-E(EE@eEGOCM!C%j zCk0kkR4A?f(d12OsZbzPd=GWFG(r8okjvA{4jLWwnKp{n9@**H$mpM{jBedqe%G2~ zw;o8tLy8gg%np%hq(Dr-gnjZOBJvgGO3Q#7pOlG9rRKG97+6`sSKJxN>U?ZsEj0^ud*LGt-eEciU;k zJV}mqAX6_g>+tR5zR8PmkksStcJG!JL*fpE?}1Dkg;>Bnk-42(KIY4vHR6Vskemty zg49w5pszH&iu4Ktyl)@-h{kA7sfY(-Ti(}if zWsQjRiUS7@@KPfpB8r-4FJ8RZry#4DRd#<aT{h+ zz@6I^hIEz{s4p}uw$SYFEYQeDm^}$}aK~pMi{_cN#Td1@HbLNR>yqSU!-L*a+hcNnQ7L8oO@DW2f7un`u(hMjnZy1XVAHUf;33v9JspY zVnqwX&p5;Rs1UqVPfchb1g^p5G=$oveC#p7AcK{>)a)P&R$cYOV~TjP0Bu=5!A!{Bt+MjTc>&j!w9-sD1|BdmawvBaEDt7$eX$~o^rX9aQ4d@3{t;Md8re+oALYNHx+1g7ukHdO0fHv*ugXkiFHR6*-_ z&AAP0PeueRmWHZA5fu!$7~LDlPu}Emd+!%{$kn`N<>n$c6r;S$y|+d@5Thf2=vhL% za1IZG?yA5Zx4la{$PAZCJJn1hiz1RlZz5YgKZ~mv3B~XlnWx$edfeJXYwo?wcnsw**`461+93 zVA9X`q;(@xrS5u7IxKzAYrVjnUw-pm`I=>^@Wc1)gew{aKke7As4HkO4ebl<%c@p4 z-RJOKwK{#q@iC&4GhN$!2<+REv{OLb{o7Kiw_HITBkI;IzqfDS3NPBf{o}_@pHuP2 z3A>~qqZ8n{)%%>o4j{$E~|TY!4Jb4htVt?)IJepVFyQ~ zrm9rAw>+O*dT;j|>9*w?qh$NFM|}I#nLN@HgTP}>BcG0!HQRLI7PndR}ay>x1uhIGS)=;O4T@ENfao}M$kKC}V?QUWs z#m#|a_jy#lKv5)=4pVHaC@K;Th;_7I-B@F5sauv<)W2^$?~AzB`-X4~*u)5xLj}mh z#I3EZ3EVJbxfsD01yXvn*s)HZ-W?lg5}7}AHj5f;*)lmo+dt;zs|3qjT4TqiihGl0 z{Vs0SA#(JA<+eu4Om@48rUnT@WVow?%qf<~qWBVYY6vnZ}Qf{HVQ9{ZK}3oA-= zcQg-FPadiC+1`<59-=vwwV?i8`k@fOu{<~=PGfmu4a|@K_wV0#zP!FF$-Y|MwXI$d zV^BA3w^2Pg#ljqExw&Kg>p7HL(|xKRc#q_C1@3HweRWoGgic_E*o2s%%a^BY%lD(k zAZlWs5TDt;<=nY*S{N}?<2@t5yDHO7C)=~{+R~%L@2N=}+LlImdPF}feGD`At`n)7 z$hsvwt!G!%R3R)ZKsXFQGVP^HmpV3AsrmT&_6@X z==>1DQS?1LY{YLbTkZt~2MYzNckk>)_mI!yv$G4%Na|VP-V|S7b+)eT&NfrW;uQo& zyl%h1I{6LWE3)s=uUT=u{$t+zK90GCN7MA7G8*gs)A1AjU}R1c_zC2a!NEgx!Ta|Bc;gQ8b@K^0arpCV8WheLL9AaGW1eI4!z zW=71CkifeVsCaJ)Q(5d8$^T+yN6CcSrM#Pjv-Z^aIc5u40mOph;>S98^SAq-$`<2y z1Ke|Tv6{bQZ{g8c^82q7xJXI7v89q4jE#+plkF;Lz}O584UI8NzU4^GnRD_`mCJ03 zd{vzqSGHwAOGD8j$BO}XzrO8a_c7ODku3qf1s-ompu|s9bz##MT*~WdNmKfr zWD7jl!4C&*^8B5rc8xvSq0t_38?^P(bc0IzqCqMMl7_xo5bu^_g*ySXlmZb5cymPb#!KPp~Yu*MN+ zIVV9J!!IK9cj{B>EFp1xl*o91zw53gCC#Ty3Y~94R5CBVYyEU*b(TjfEH=*EChNc_ zPo7**J+wCia67L)Ha;J}MJK^%1feA=@4bdy!`3y>*B?id$jDHf4h~K+3abe+GCN6C zZ8PNco70`_3^#4k#?>?DnkJ0NcBZ5NtP?DO>&C#*yE8o-<1O{Hac1=FB8Akxkj|XYQ zOk;9w%i&aHj&lj*-HgC6sEX1ksx2qkzPh=NG0uREt`x5ZSQS74gu{cMg72kk9t zSQngxRS6Y9#oNLZ!ChTmK|jjZVN^&U2eu+sLGTZH5A(Ta|BF9>dl!0t9!zkWQ>ziQ?zW1$JK$PYWf%{!^M|Kp=1 zTYPu#mLd&}ihH&~E-o(gbYz3faih#oK)@bV$x)(<=M(4>g=@?2AUiy*i*L23U3=mX zio+cpxk^ItxGheoDd2%(?5Iaip7`KeIK5ph5x}~ltB7dOmbNx@F^{In0pz`uY<_h3 zXfCiJUlhjVQ1ff1LN7WPZvmV`v_f!y1T6E$&$OuPrzd%PBN5>spbKeFN=I2`CRGgU z;Ccy<<{{v;X%#WTRTE;r;UM-1`TpYcL(NH9^lTtw8FiH@_NMHB%A?~zmT=UR zg>xf%=zJ%zqe8<{iA9rR^bC+!*rpUL{P|g3hI{w!CE`+XHhbVvQBfeqs%QnvZ6y-L znl{WvR1w_c>n*Hcp&6v`wpJ9dEP-M-wz@UkPKjx?dzZFg*6ItVVx}zEJrSk%=DmTQ zcF6e&tu2Pb@KdkG(GtdO)_X%i3*IBH{!Oe9cCb%?sOpV4HEb_LF_((_aAmAAjbHd~ zNsAJr+k0PxFO^;MJ-WZIM`!8M2V!p0($d!u$T1AI#)Mq@cSPnoBos-musa)F5o`z| zbc*i2<}0V`rnL3o7)+56UhKHjzoQxm4gp{r#Zkv{fTb!)jl)eNzC>g_?rT0A!){aB z+d2KYrx~{5I014wu`)6;^UPFtz6igd!S>AWBdY@J_3NFRdckrFzP`G;`~AM*;i#GbpwMw!JZm$jDf-v7@nk-rdA`JxyQd+zc6y zlOBj|fhrC-DO1TuXxq{)TdB@>uHG@z?-c!LbT2X?VPDwS6wkhHXDmK6r;njktTCy> z>FZnLNH&kli7vf=|2_&3?lU5K5H_n2=fxQq)uGB3+|9^0lm}|N>1ciY_%RQ@P}Fyl zEOKg`*zFmU@OfSz2R)WI_QASXJzd@1yUutc#9IOVc~tGNvKg=>JP;f52oHG^vk}7i z^_w$Y55g~51~#bMKfkmfy7cyzdp?T~)^A^;1DLN}*xL;QJzv!m5k#c9&qbWw>#(Of zOKtyt_cuf#^BOWFH>byK&4hlBNW7?qr@Oxz%_Yw7S%B|RQ{}xbYzJ&zsxu0JR)}#I zwAX(8Xy~@OK5n6XRfuaSIgFP1d&>3&HiIwd5Z@mA7&iPG3`LLQI(!H#>&oE4mY`yO zQrf~m?kzg?ndB`|pHkX{tFF9)R7FZk%DcU(Qpdo+fcP@SaEBg>yYKD3lzl^?s;UBx zUj5xzy6$-S!Q12g@ZrNpPoMhUy?YnR-zj^y_JWiVaOB95Em!t*=<4YaIKN8uND^*b z@%;m}@WOuhqe^{L1c6~E8yg!9*Ueg&ZHwK0?)-W1#thbJ(M%swmv1x-mJ( zsK{Nr7b2j0-9QN)itF0zwwT=CZ@pzJEPdonyUOI~Qb9pMbRTm4c2vN1_-Eoy>BR#3 z&9+JEu&F`;uM?P6`)-Dw*E52@e4T-`+L*n(p^a!Xs3_j%oOFsuOd&gQ6M}-St}c<= z9yqWs>qAu!ZTj*BV9S<19IhQn9k4J~hzQ&o=SWNYAQ(4PLlL+PAFbUJZ;~R167U2l zH|~btxT@<-fudL6<-yR?s`J~2)0Zz_j=}vEBXgPk%`+${h>UonZ*fdxdMvnVDiH@M zxIpN1V{2?wRMg8-L{2+_*~WN+QA5Qyx3}py(6rE#ZFb^7Z27hi|D}p@DMsH~A*qaZ zNwKTMi1K~Qv>WL54cWLHIq1qJP=;GE;TaXoQa@j^MJVMM-@XMTv{7P9R0tDjteG=| ztXNWw0rsmXIB;Pdsh<&T`2q+{e$s|z-+2H0*|QU9s&h{ZlTH`-U8X`${s%$3<7s{IBL+fwT~SPA{VK-wflX@J#q8r zWJm&xM@?%-FBJd$7uc3GIyJ#^TY+Qc0CT1jrtZN7lCsuKLseB3m{5qk+O|!bFenFO z0gqGg3bme@>L{;LVx0k8k?QoqD*G(pnr>CptbY3BNlYeqJ;PoGto1-<%mvQk57c8e zC3ncQc>v_{;mO4j3GS_bd|=U{MGFe6Q9I~FeJ3R5(AT#jR3Nqb_Wl7yI{TX0;+WXrPdpu8 z`K--$!e0U0`ymA{z+mOr(YYQ56sjI#52^*AnjY0Hs%KSrNr1*MrGWWw2sby{O) zX11ieE<(}y+xy93y(KsTohWq+AvSxy^9oKKZZw~yQgYkGCg}#!dIv;tzvYq-)0bVx z&w@rF!)InXgFHe-x~MO<_lPE%=F~Jf)2*XWDxrPFm2n*xMOB?hahD)&dK$&^093oy{F*R2$>`#i7XeWA?wM^hTZ8R_tpiq9%fzNpW!6U9;pNW)3LRncE1eQrS zV*bdC^J#u8&Wp%EC7qQ7wgCT|WhP-2i8o5yh05H7z$3$f*6kV^nB$KE!NTt?Ew*l} z>2+nzeCta8W}W(_{2pV}nV(pVBl+i#`Dx}6zNun Date: Thu, 25 Apr 2024 10:53:31 +0300 Subject: [PATCH 26/98] Update student.ipynb --- student.ipynb | 80 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 80 insertions(+) diff --git a/student.ipynb b/student.ipynb index 6278fe02..ee4b28a1 100644 --- a/student.ipynb +++ b/student.ipynb @@ -1653,6 +1653,86 @@ "\n", "plt.savefig('grade.png')\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "Upon examining the grade feature, it becomes evident that as the categorical building grade designation improves, there's a corresponding increase in house prices." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Binary Categories : OrdinalEncoder\n", + "To convert binary categories like Waterfront into binary values using an OrdinalEncoder, follow these steps:\n", + "\n", + "Identify the data to be transformed.\n", + "Instantiate the OrdinalEncoder object.\n", + "Fit the OrdinalEncoder object to the data.\n", + "Transform the data using the fitted encoder object." + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['NO', 'YES'], dtype=object)" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a variable waterfront_train that contains the\n", + "# relevant column from df\n", + "waterfront_train = df[['waterfront']]\n", + "\n", + "# Initiate an OrdinalEncoder\n", + "encoder_waterfront = OrdinalEncoder()\n", + "\n", + "# Fit the encoder on waterfront_train\n", + "encoder_waterfront.fit(waterfront_train)\n", + "\n", + "# Inspect the categories of the fitted encoder\n", + "encoder_waterfront.categories_[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0., 0., 0., ..., 0., 0., 0.])" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Transform waterfront_train using the encoder and \n", + "# assign the result to waterfront_encoded_train\n", + "waterfront_encoded_train = encoder_waterfront.transform(waterfront_train)\n", + "\n", + "# Flatten for appropriate shape\n", + "waterfront_encoded_train = waterfront_encoded_train.flatten()\n", + "\n", + "#Visually inspect waterfront_encoded_train\n", + "waterfront_encoded_train" + ] } ], "metadata": { From a83255babca026d50919ef85d1f1d908793a0f54 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Thu, 25 Apr 2024 10:54:52 +0300 Subject: [PATCH 27/98] Update student.ipynb --- student.ipynb | 265 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 265 insertions(+) diff --git a/student.ipynb b/student.ipynb index ee4b28a1..75e8d1c6 100644 --- a/student.ipynb +++ b/student.ipynb @@ -1733,6 +1733,271 @@ "#Visually inspect waterfront_encoded_train\n", "waterfront_encoded_train" ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idpricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontconditiongradeyr_built
07129300520221900.031.00118056501.00.0Average71955
16414100192538000.032.25257072422.00.0Average71951
25631500400180000.021.00770100001.00.0Average61933
32487200875604000.043.00196050001.00.0Very Good71965
41954400510510000.032.00168080801.00.0Average81987
....................................
21592263000018360000.032.50153011313.00.0Average82009
215936600060120400000.042.50231058132.00.0Average82014
215941523300141402101.020.75102013502.00.0Average72009
21595291310100400000.032.50160023882.00.0Average82004
215961523300157325000.020.75102010762.00.0Average72008
\n", + "

21420 rows × 11 columns

\n", + "
" + ], + "text/plain": [ + " id price bedrooms bathrooms sqft_living sqft_lot \\\n", + "0 7129300520 221900.0 3 1.00 1180 5650 \n", + "1 6414100192 538000.0 3 2.25 2570 7242 \n", + "2 5631500400 180000.0 2 1.00 770 10000 \n", + "3 2487200875 604000.0 4 3.00 1960 5000 \n", + "4 1954400510 510000.0 3 2.00 1680 8080 \n", + "... ... ... ... ... ... ... \n", + "21592 263000018 360000.0 3 2.50 1530 1131 \n", + "21593 6600060120 400000.0 4 2.50 2310 5813 \n", + "21594 1523300141 402101.0 2 0.75 1020 1350 \n", + "21595 291310100 400000.0 3 2.50 1600 2388 \n", + "21596 1523300157 325000.0 2 0.75 1020 1076 \n", + "\n", + " floors waterfront condition grade yr_built \n", + "0 1.0 0.0 Average 7 1955 \n", + "1 2.0 0.0 Average 7 1951 \n", + "2 1.0 0.0 Average 6 1933 \n", + "3 1.0 0.0 Very Good 7 1965 \n", + "4 1.0 0.0 Average 8 1987 \n", + "... ... ... ... ... ... \n", + "21592 3.0 0.0 Average 8 2009 \n", + "21593 2.0 0.0 Average 8 2014 \n", + "21594 2.0 0.0 Average 7 2009 \n", + "21595 2.0 0.0 Average 8 2004 \n", + "21596 2.0 0.0 Average 7 2008 \n", + "\n", + "[21420 rows x 11 columns]" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Replace value of Street\n", + "df['waterfront'] = waterfront_encoded_train\n", + "\n", + "# Visually inspect df\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "waterfront\n", + "0.0 21274\n", + "1.0 146\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['waterfront'].value_counts()" + ] } ], "metadata": { From 8ee82e1f9c20795bf829a0005fed1b9a1e1b5396 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 10:38:00 +0300 Subject: [PATCH 28/98] Update student.ipynb --- student.ipynb | 236 ++++++++++++++++++++++++++++++++++++-------------- 1 file changed, 171 insertions(+), 65 deletions(-) diff --git a/student.ipynb b/student.ipynb index 75e8d1c6..afadf98f 100644 --- a/student.ipynb +++ b/student.ipynb @@ -135,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -175,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -303,7 +303,7 @@ "4 NO Average 8 Good 1987 " ] }, - "execution_count": 3, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -327,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -336,7 +336,7 @@ "(21597, 11)" ] }, - "execution_count": 4, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -354,7 +354,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -388,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -537,7 +537,7 @@ "max 1.651359e+06 3.500000 2015.000000 " ] }, - "execution_count": 6, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -548,7 +548,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -565,7 +565,7 @@ "Name: price, dtype: float64" ] }, - "execution_count": 7, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -585,7 +585,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -602,7 +602,7 @@ "Name: sqft_living, dtype: float64" ] }, - "execution_count": 8, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -621,7 +621,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -643,7 +643,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 9, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -661,7 +661,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -700,7 +700,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -727,7 +727,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 11, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -738,7 +738,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -759,7 +759,7 @@ "Name: count, Length: 9776, dtype: int64" ] }, - "execution_count": 12, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -770,7 +770,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -787,7 +787,7 @@ "Name: sqft_lot, dtype: float64" ] }, - "execution_count": 13, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -798,7 +798,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -819,7 +819,7 @@ "Name: count, Length: 116, dtype: int64" ] }, - "execution_count": 14, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -838,7 +838,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -853,7 +853,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -864,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -876,7 +876,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 16, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -887,12 +887,12 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -919,12 +919,12 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -988,7 +988,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1008,7 +1008,7 @@ "dtype: int64" ] }, - "execution_count": 19, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1020,7 +1020,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -1057,7 +1057,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -1069,7 +1069,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 21, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -1088,7 +1088,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -1097,7 +1097,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -1109,7 +1109,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 23, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -1140,7 +1140,7 @@ "dtype: int64" ] }, - "execution_count": 24, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -1172,7 +1172,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -1235,7 +1235,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -1244,7 +1244,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -1255,7 +1255,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 27, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -1266,7 +1266,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -1275,7 +1275,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -1284,7 +1284,7 @@ "(46360, 11)" ] }, - "execution_count": 29, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -1295,7 +1295,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -1304,7 +1304,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -1531,7 +1531,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 31, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -1542,7 +1542,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -1576,7 +1576,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -1597,7 +1597,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 33, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -1615,7 +1615,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -1625,7 +1625,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -1677,7 +1677,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -1686,7 +1686,7 @@ "array(['NO', 'YES'], dtype=object)" ] }, - "execution_count": 36, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -1708,7 +1708,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -1717,7 +1717,7 @@ "array([0., 0., 0., ..., 0., 0., 0.])" ] }, - "execution_count": 37, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -1736,7 +1736,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -1963,7 +1963,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 38, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -1978,7 +1978,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -1990,7 +1990,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 39, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -1998,6 +1998,112 @@ "source": [ "df['waterfront'].value_counts()" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Transforming the 'condition' column using .map()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "condition\n", + "Average 13900\n", + "Good 5643\n", + "Very Good 1687\n", + "Fair 162\n", + "Poor 28\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['condition'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "condition_mapping = {\n", + " \"Average\": 3,\n", + " \"Good\": 4,\n", + " \"Very Good\": 5,\n", + " \"Fair\": 2,\n", + " \"Poor\": 1\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 3\n", + "1 3\n", + "2 3\n", + "3 5\n", + "4 3\n", + " ..\n", + "21592 3\n", + "21593 3\n", + "21594 3\n", + "21595 3\n", + "21596 3\n", + "Name: condition, Length: 21420, dtype: int64" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['condition'].map(condition_mapping)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "condition\n", + "3 13900\n", + "4 5643\n", + "5 1687\n", + "2 162\n", + "1 28\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['condition'] = df['condition'].map(condition_mapping)\n", + "df['condition'].value_counts()" + ] } ], "metadata": { From 950fdc8a1fbea90c421e0e63b3fc61c8ba1e1d1b Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 10:38:13 +0300 Subject: [PATCH 29/98] Update jointplot.png --- jointplot.png | Bin 46332 -> 46329 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/jointplot.png b/jointplot.png index 2332c98a743e439ba0ea9f327c340d003697a136..71243ae06ca2b51ef4b92a36cdf4ff04c2fd5e00 100644 GIT binary patch literal 46329 zcmb@u1z1(#wl=zGB&55f5lQJr0Z}RG?hfhh?hsHAB$Q?$Al34&AH|r-#5oM#{0fwOrqW>%3@=XV?ZDf>{loX1}MmA2aVa`-*s<#0-V{^4V@*CZ)-=wH|r zF!Nr0c^5j&^d^PjU0+szt65LgjH!>P0fY9W|H0+0liPa9fOumiBWL;MDmU`1gSISr z+`jH+^UyWRb94kc@JdhAIY7Y0!^2}Il+TC+F9vQW`1?s+T~T1`B|ZT&eDl?RWoN^V z7$oQQc4NG1q2hY0L7hDnuR_TxIEz)W(TX(YV6kf9p^}6zeks*FDGfF3{#M^;wI}YB zniyOiK|aIkna$o-&+!M_9Wg9AIvo?ORcY{Ih>9Wr<|Q&PDZ)3CJ_>>@yjLbG|A#yK z)DIBYWE#s>$BR`P%BMQ?}ce{H%VEi-Ky4L-@sq^O2}Ef2;- zWE%J1A1Mtpl)@*%*`1l0E+;H7ieMsc;tM6DDVYFoBpB8eWf7Omv#%r4xaqA0=Bp|^ zieP{|%Sl#RI);jXIbB_JH9j(um}ehK|L?avb%&VS{v6!*bba}ZfB&3) zi?{GJ+I}-n9}(Oca3&otMT5u{ngDOCHc@Ztqv}BC4F=&G3=T1Y2Wfr0wQ`T>a%{Mr za=et#gAUq;6O`_^a7`Y&r1a$@k|7Dw5L`^>-jYfYECk$ovqV4LJ1}WNrlW(R0t=@` z8-tX@Tyf9EX3-$^-hLDd4J{9psHs8=ODWof=OU7gkpj-YD`$|#ubi~iA*BoZ9fNVM z5zgX`Pn$gr$!@0X!QABWT<#Y{%|XSY-4XlhWzCS@ReFELw(nDm6OHKmM?heCL86sB zmF-+gnXsDI(^0)JT%xG}DIL1hX0X+3cxNQx8ZyL;hc|#dC^+#_N8oTsLL%Pb_DapZ zVSD-l9b&ZfrE2;%#k}5E!B#8+9i~T25t+w@%lD2vfj*0nPw96kuIJhk?%hs%2v$H-jk}b~;V?G>rkAce`Q!Tj8+9`@4trH9O)Yk@NeF(RJ|TW%c=w!(2?5%(^f)SlavJ*JO+PpMMBw6ESU?pJ4q zj3GyM?@CLb&=3>~)wW55p5M)$kVY|${B~O&T%3=WBWH3NN-nJMH76O&5{fHY>Aj~; zSfcTF#$x7_Ujav;mfP-IlH*%b-TPdKwx0YU6ZNrSJNHY);B6q1bfG0zqJKYp6hd+h z|6W!h(yOQ?60qBWHJW2vIUINFsw}IhW5qLbC*q@%MskmDB$9HGHB21rGJs^W7uWd%dxa^zgT{Bxi}m2 zWU^MsKR%<{rHBc^bsoC%Mz z_QLXtF%0UwP!^m{ZK^3&FZNX}zxl3{W1VLA5K(9>tv?X(cXB0dAz?cD)5k69=lu01 zGgI_|I)cA{8Hql-l-9y;8MzQNf+*f_<|I!qE5zjD4r+O_dNmYXP1K{=*`~vkCmLV! zza018@5l)|9$c4oT(_MddV_gqzdt5isBgh^XtUud$i7#*VBS|mRUh$rKGG*fCLx1;Yf#m4-Huv1|1hdoBEN5r!hi9_qZFQWX zG;O@WhG+SBuO7^K{1HTsC+T)a^Yi>kB<4B$L?f4H3ki}Th&Onvr%L#H$G%IK-@c1^ zu^z=z*7Tx#X$G>$285=Esk$c#0l@BKr4NH`=smkdj`Q|9~uggQ04hTVQ^ zn^(sdW5LT@z<-xWcllgRV$6MJN8{!H~o}#N(5WKC8S9pJBiHL=_-5weLJ`f-XpDojmQED~j(Zdh>0Ut8WO&_1lw>JWRDE_aYl9%p(QOXe5(A}P(M$PGJPP~QQ_(-U^f&s55AFsEb)u9z>3s=-hGO8Mipf~M9WG39h z2E4uzL=a=xnH1IWpBp{OfR!7x21cAcTq;i9kZI`K z?O42BaKAZ=|6yasUuxBpaQ8>p_c#a%9@APcs#1^2m9jc$3}!+~1gcG4EFu1N;qUF? zYcMy2V0ug>*f5*)+4mH-8s7Q}moS_PEv#qd!RKu@*k#l1P6`-9^Xbt{3Bl}C{&sWI zLYwCTnWgj3eD_oKF8&lY6$^k6Z$mfvdWW6OwXG-~*b%wuRubZ)n-&T{%TgJn?^v&FGLS5kS-wa7}Z zQ4%nJIuP|k1X9k>R;|S3R9|fT8@4#`g9L}Qh{d_Hu2 zz(97@%J$Dv$w57q#4mxsfUE7Ff+ED7ZK6*2_s3m*)(&-F`$DE1_PQu)J(i(vZ@qYg zOZ_$V-FF8_>=n8h!K~Piee*RJ;K&dOS!`)WOY2z|6sMFqa3oyzBv0muT#UuU zv|7)V7)*^)Gp|+-=^#6*8DJa-b(F@P(jUlJFlr z))=2V0x^Ondy)^YMZw(hst4(+E{_t{s}n&nilPx^xbG=qx*aV9krR4jTv?;y^lz=~ z?1G_?Xhaq+)6#n!$QuZHP+#Ax6A_Hzxp8C}Zu+lNDYrxx=s{Mz7%~Xyl@%7Ti0mRv z>gt~#W2m7t+~c6jOVbS#o}Aa#)Jm$KSlY?8z7K<4TzKyPoSd9onI(#K@b#s9&EdXN zICiUx*8!WJ_O!=(Tl)6RcyX^r(V^yts{y%-?2Vk0!ICMpnop@4Z78>OPeNf`U0q*q zTRHEC46u~sU1-^)@DNMV)#vJqv8T%4zK~T#y=8uw+a~X8Xh<`dO(pqMJZd0-rJ_fRhzQz(jonKJQNBPBlu zUsT{{BW?p`K@Oy|v(xkV0)@Ax+Vm-JG|0p8gG5gtC^HP5&9Fvw6l{AU@w#Z#gy_50 zDo?9}M>lVuI4*afyMNV2<*hbiNN>OF!+OCqCP<@TN@oqj4fM-m&3gG-%;U0uYV>lI z1fu8YczyEFepT8K+up-{q3 zdaUoXhvnR&bJ#8dT!SQy+9krD`^sbXn)vGd^HzRpHO>;(xU7g@aUzy#h=f6!v{(n%I7$zt0l_+M%lL3L;rY4H$oTYX& zny(ig=(L9k_ZJD%)z$>f2AtmB-j17@9)ovAz^0wRsUJIl^90U36%vZd6!BQ8owe^g zxLr69x}u`F8jd&|%f2H7AHI*=o2{d#d}wNBW|kuRT3T9-rddNn3GaENH;zf|C zYEOuR|H&tpMY(*Hi;}jhCv!drE$Cs-r)%F*h~Hlht@cnjAVVmHoRLM`f5X~C(43CC zNv159z^w9h*yi)ZSQOhc)y=z8WcePynhUtUoo)+|SU66pTdMQlt#iD&aDu=(aU^0- zcc)f+CGNNL*wS>*Vs%1%wqzz`~#0Jew3<%1LuCz0RTJKi@hZVr>u6< z-w-KLhaeD)C_8KPeJmV+7X=WX|XzSpyhJ#DwMZOdUK2C#$syMrmOKfo}T zgsIm;F$F!=!kn!abfLIl3RM@*llvHc&CVh~!i^uL$*;^V-nnz^>n>gqbF|$!Q;N9T z^(nr>#~T@i+2&_3CJK^;BPfg=c3^T!j#W2j^YQT^KpGnxmz*1p4Y)oDIG{o@#C+Ue zHIst0zP(bTGMMx-!+q};ivAS0sA#Na%Z@suX<5sej@eVPKWAqqo#EJ!z*IwjGRQZJ zf%Npa4}gAAdzQYhvT~o0$yLq}bV3ZgOuY}|^hGH5KP?%VoD82R(Ok_u@MVV2>&=+N zEde-vSYjgH%?e2y>}+rLC|sZ!A>4TB$CGktRaJu4Klz;PTv&7d*Lh!@*R0Xmzq zfNiOX89cEJ(qizx{Aq{*kqNMGIn|&I#VuBQ?YpCzjc+?uMr2>7>+0?vt!v*P^Lw#P z;#_1fQ-s<7+#^7fmya)s=!r(;dGn^2iK}b1Vgj6lx*zFix5)7P<;c8KDbgZ{fWqa> z0L};Yz8no!%m~Gel%`vMtC2}DO&&GiR5KvVZFjQ$;N0}~>hvPu{@@;% zTs*5JFaL-X%LKgQ;XYdJc;qeQv-7KW`y~5bwDqi}e0lNycCo^3S3~sv=A?eFb`}>4 z_2>(ZUs0A6oIbLuOm%G+7iM*QTKL1%d=v*9_N#sq@%g+5O;*6&rT4=aI8n}PfA`6u-HeYU`m`I1EoZ>NCSne93Tt0~Y@J>Z$YoxLeOQ=lwA!-opr| zKE_nZG2X4l_#wZ27th(*1&ycv=lk;){g&dYtIGI5Ltq1=%xvU`HQ(P|A8iKQZC*qK zT%g&_Hxl`r?{`N?+!*^VV;aIr>lSnfv*no*<(XUzW$Ez#{Q2{U@*zDg`ndBJ@Y@sO z@>G|?vM5z0B^>dyiiG8}S%)FNgR1OXw$|(UgO#n3T%HAS{3tM4$6=Dv(!AIPoR&)Z zwizZBq-uNt=;;No>gXSV34!J}P72QZo(x>fZHh+#Pcq$|EcM*ZPd$Wt*n!`H&#n*~ z{H7)CG^z=3a|gBE?Y8wG;fMwm!3d4`l)Ho=XqLrc$_oVN*B`^q8MgQx70;On{pq^lh^XUHk}!KuH$+ zd1UvwY!ykI0ZBZT;t~N4B@CS6l$ve;;qT>%o?-9OCq;)Dp&J+erCBmm5NSv{JnTwXx;7Cp9Gg^!wSfbSpIv#~vdl|FvCosW~Rw1YYa4XzDOOTftu z3xn%M%3-zcXy3l%K3J{b#ZclPc>ah`&Qwa4pw|7wGr1ecA@D=g)Z5YQrvsVF!@s=5 zKdOG%i5pqyh9#3^b!-Elis>P1yuWhO8jO!3b$L*?*3?Cl$D|J{Joi;s5}Dn;O;2W> zoh417Of)tZSbda@7OPM7T3RzRJ5zE0+Nl0U9c5M%WmgOfiuZRu{|EG||7lswdBO)G zT@4~G>`M@OkICa|KF@D8A`o@;9Wge#94MC)U5<7g@Pd8+W)g7A^4t*W3XH%^iaU0q z>Qy;uw?qJtOq#kAX{E6z#2u_8>IjiVrMLRiI6U%OCU+`~K7`<+3keN4(#w{Jm*7w! zET;2?(>k87wnQ@VY++q2x!8hv60Zv%3?v!Jiw8~=W(+dqhsf`EU>138fl~~NP|Dbb zphYJc4&||6=#bBCQN^zeOXexkGtfa5^$7|=QhToaK1ZT%(cecbLPq*wT(`>0T}0~A zKe{oRs)_u_JtoEE39%r2j@Jm@G;C&tlvZ;88w8Qm*vB89o&Ph!Eir55T+)>%B-1Ww%=AVPhj)+Gf0+8&z~g{lIMsG{dgv+Y zd9fUk??4bG4TAgS^GE3s#6M9YQ{ubl;0Mm|a0*9c3%Q_5T+a+0cGBE^Tacp7(awQl z)RtpR`jASieC;V6F+(lIruO6|dOZJ~&%Wg(We-!_D`$qA(c692P~L3gb=|aJwL%{RXtU1@9+%WnSC}FTg(Zf9|{eZ7IV9 z7w}{7mbTs8Yo28lDi9R^$0h0i=_UPttdak34JzJ`8f$RbJRJ0BCD_~Bv$C>+<)<1% zlNfk@S?C05jgEB%x|x}fkg)p8w!FK<@YY83_&fd9)|Mo|mpVE+JO7dV(gpqQPO@b| zx&{7`HFrK)rmxE{o+eM1Ccn`dFHPqnBns{vN)&KZ)v5eOI1;U2iGFgJQrC<^MMX7T zV@uKs;Kuv7#TFld;C7>ZCGf(Q1(c(j>+tWw2rZh*y!I7`z^FXtg6f*r**(u@ERU9P z0!RV2xDWPdyPlUh%740*l|>!eX^e~*lpgm9c!>C42*T%d>?sPr;5W-5VBOvCp*yT0 zv2)5S@10^Y2b%v_DL^epEl;f~ER%E7*Vmt}G?!aA=XY3$t+E`Nv<8kNExkU$=hS%i z%hu`lbVc()%gymmtttzJOyKGOAR2(+mEgNZ?|HRd=maRn3Q!gSbGX3qz1=nJ-K$$P z7%~Pvhxb7Zpe%qkyWlwCdcO&0w)So3;@#fjik#sU{=!kb$G8hz>X&Ams1a<|VRHx2 zES(H)*uHGp|7o44%o`^#(yD?7D@Y0n4`g90+e0H;4+s=G?xQ8W1_2R0N2vNg$q_^= zVDXGl&bXK$XL~L|;;~)~Z@GQRor!r-jwy@Ed>DoH&}b+s(Hkc*k`-QqvU*4w4x3Ln zr%Uhu%(E0SRQgPv=wgms7|B37Ss0#-!Yho1w3&7O7KR4kh5;xu@@pw5XKjiHaH|wl z0q=-hL0;VAG4!bK58#W~#fUBCxem#pRsNzyOL}xQEx<+-o@UZ&*njtaE^SAuD|nPo z!5Hwb$PdpM(DuLP*zG-p=e-_NYxG3JUWQOfmXx0GcqZ`nxOJ%X8uH&+_zcB>Cq`Z` zK7b<1>;zZ?=C3G?iS_qLX8^S7L6DrDn}`MRXW0tB!VL9OQ@Yb8 z`z(mjRtP3Y@?ctB;fHzqiHJlHu>Xx;8y}&p)2*yp2gbM~Y@oa*jY&NeOrN6zhjp0b zfB!TA44Pdl=8{dY6IXDUre~GY5EgXDm0&@e&MXMx8>Y&#w&P?4leoH+rDXRThA5D7 zyC-&MN#-i4EJq?YI0pqm6{%WlC|I|@%1Sy00T`_Fj(AnuF|5i;ybe`e9i;3nEKfXz z9XN#Kn8lmG`_~~cZp3j`+<&bZH4(+M=N`<#W9J8v*Xo&0tYtfUk2Y`4UjPOy++(Zn z7L0jOJ^hUe0gv4(W}8jWmUs^iErC(s1~#Wh=h*|~#`zuop%-{zG`7U=UNQt5aYZ@` z#!3ce!y>JmzVEJ@q1UUQIpyqtRqq2Ipxmgh_@X`cz<*r1Pa8e6L0!H5OugM3CnOT% zn_xy{3ZeT3Q;rQB-!O(`HbfQaz-{a^vb3jz62nLHbUN)*B(xjc`xLCdhk|8%^`}q* zTSoc#4p6p9mzUDjkrg}wcS1q7lKz0JyTA1$4Y)Vywo(!iWfBz&mE%HyMOKr$r7C{ZUBnW(cjawX^F2{MYH`;wVYt+`Hw_ zyM>RM2oGqPKs>-~sbrM-dcWAGEb) zc__g@l<1}Y4=SAf@8XYD)JKU-3KEXLsrz5G<8;l;P7qj(xv<)$lC1wxN+yB_BoB#& z7{ES88v}J!;iQ44-WaKDrvB?fCw;oA9-L%Z`zXf#CRiBwYZTSYG>!CFihMSv%%>2u4dGB?`yAv)cbVq{pTegupV{Cw|+9HmsxJFfBIq z)kM6Bhrmhcl13+&fO`9GG%iWvpDYMfDNgo9WqqWM*k5zZL7)amh>KcIim>`K@&8SP z&;ZlQY3POP26;u$V4S&c2nq(+Qi%*J)>PrNxJtXE(F`MN6Nf<*{NJ((*lm8VN~@t# z+$cYmyLEH=XYgteS2UJ_m9l~$)-SGD%>Y&tYY_Hb5n(Hb{FI$uc*#^9=QeUu3Wp3K zhZ^UjzoH}VvLk5_WNO^nT?_jzrw>bqLiEsz6_kFCw8()09t)Lzuk;!Ex~5Rr%_dKs z?L@hOVAt&%@L11pcPN{G==MyS7;Ke}CCw>JNh#R2;Ng3qyA!!hl~gHBv{B$iGlb4B$9w7Uq3n5`>i35&5( z=><8ogG`?d>hfHbd_){ozDD=T-4DP zL#0vqc=OeKpsxDx?(2Z1UH&=#hD4O9t5?Q}b> z`~kWe+LVD0dt+0R(?&lT1eV(Rhf(y;uv8VlAYD$rv^o)dG5`q&4v43;%Y_x>snZJ* z0^sSuNrP@PB6q$kuebt%X%)mP7*LQKTGPmw; z))p*jOD;Mt#%Eo#Dz=|*benGSa2PqK@mj;Po2l#`kpv_Vq?bd0P^U-sKy40R#G3$b z$+2g9=>BHN>3Xk@KJld_dXQzd-(P(V&KcqQG0}bNW|q%G!~3hL3e(<)%$>A!>8fE= zEu|ap|DQR&A>&2$ccIrA_Dy^IKpq7_{{{sJSPOS&b*Ae-K3p89w#7=^bV_{P@&M9k z^D5N=OrZ4$+xM(0JCmRPU*LRNEH!e&fRU=Dq4~uL0uau6okW7q0S6Uy*}w{qh~Vbs z4Q*`|zZs#qRqk%v1X5Zr#p1<_W*{eKa=Qch4jnb5K?0N*6vGvz)$rW^6oiEXoWIKA zBn)OSo<`y!M61@0OjuYLv}7gF^lpz8<_8Sjo-Zbl82aKhc^srf-(U1f#5)RRT#rpn zX&y~SMY49sFH{f1kv}D);(^zY4;;AX97vq>^LP&VEYP2dTwPrq0^t&U@pj*1`Q$Rs ze)ZHF4;}gV4i|5L@84|j24bD#UdvEor(R^tR#M&&p^h}VXJT(^-j z(ZmAqb4@!^LIGVq1!+P)i0CP6c#nQ>DPShLwKQ`H$D6-pKcyZF-mvP~hKu-4x2IF9 zD>0ls@CpC~1_bdZ!2994_s0nYd}Y6BACgk5GrBaqkMibAD(YXY&X#VZqg!GkiAjU< zYx>1Wz~t-J+O^-^ULSoZ_eHrr+Y4Dd=mk=T{mpjv-Q!=seo^9VRP<82`09d2BaH*P za=Grb3eqGpr01Z*=&8?&c$Yub6!|kndW{7L^ZWbub6%U7RYJsc>9Rndl4o-38YA06 z1cggN6kN!PHBzxWzJG#k-yaUvIy-BshDyRz_NWxP?Jn#4yIXi6MNPdM7*iOxKJr)^ z(=cW+&QmAC9=)EAZ;D$NVM!yX+Wt}2=*Wu4l*ea27`kaox(p9Fd zlLMhE)_|{=giF348CK&_#z!2+Mo?D<$QiwR%#Fgd^gCq({zl>xX}Mrmq<%izNl9hG zyfJIvtFi3xvRydf>64IV=!Jd~dP@2X=xFg4oa8NKdh`82b#!%}lVi1ZM`xh2*+Z}yN z#go)esx`LXn_m0ks}0|MQ^9~!B3@V#4aF72F4#0cVy0{7*vYb*xy6HK7Ie1sZP3HR2X#t&=_oHGUi$Cnu7ay6cu< zZ)jy@%f9N?mECZv5rW!NCG=U}O5zjV?CI;9i+P>0cfwhdBWrF%rp_#H;o1L`fA} z;^VB^0WED`4nk*276xt)&4J}VenW%;dKCKd;yaNNo4pyC-FPM@WhPV@`GhgIody`i zaimYObIA(-mI_GPE@XTULuk657+$`Hz*LpQ!r&5upx+g*I1uOtcOFG;G>ur{Cx$kx z{@7FbVkRQZit*V>QrPrS(o0j`^!_IOd^aA<{OmXR;PmTG1APBDeb+W9|MkGbee>R1 zho6229{!si-#|ivU(9SpT5iyj4Z9QfjXGm0uQnkI5N*S0xu~Dm6MOxGq&BI|$F^j@ zQ(`ZRNyoVj&B)lU#iiC{KlFN(eox6h0UAV~l-1{KU4v4b(9<;ei4Zy+D;@HA3ugxD zK5>a~u4HIR&*)~Owi^$;8)vU1*nC%W!$*R)u%&q8dKF6aA6CK(bNj8=`#A>zaFIj= zs2?EDRu8k;{-IlPd8SU7hn*<*8H@JaAhiNWPl3rqzYBen$6u1t;gilt@?+yASTmj_XwmNIDa4Yzn)L5hgt$ktH zDqg0udLqdiAY>CLWcUq%X+XfMsjrd;MXq?Y${2mld#Gw=L2V&tK@GrmpfRs5I{0*d zrBUi&2q_Zfhh>Px16{u8;~22e;9~Q*^*4`$RHAg>!<{Pq+|Jckkwqz>95Yb)T10N@ zxWh2!8eYI?UWHE7?^YOKg|6U22q6Rh0t-$PJK7RsrK6K*($W)-b3z%BP)q%bgnv_T zo_H)Tx|o=?&riY2O6O@+!-Sukx)ZV{QC;gUzC6a*_uKgWbv|M2?-_t-p~gI6aPdTF zG*9DI_^p3qus`U(#64^p8C`m&IV@1phn2ugo8!HtLZzIk=Df_QcU9urSDJneoiK$G z{$p1xfpX?|y^AqMjvK|4xr_zPQtD)avq`l4Lr;9VbW8wsEz*ADrzc~!jWG&b`$gF~ z6h}#uAH9D_+x3-^tSYhpyLfp zM&?#y3D)7XvTosoZQ(w1^JwH?uM-}f>{~WxwCCq*wA33zH`er?7Rnhzp-WdWDYPj+ z9;J*TKqkv0^If}C$n*k6Dxt}-HiJ4YmB`jqN|g;IWI!J39AN-a4cutX1`Xtzxi7D( z--9j*=V^l8h7Lwv+k);wn=Py&0Gr`N6R1W$2BUAb8_X0Fc)78HnBx;ZkCf2nV&=Ib zH5v~J@_F*s^P(tG(zMg)*R}4f_4R4nDrQUU-lbd}F-(XCR9CajRXyLpVNyg6bZDM{ zS_o(}lK2CYCohE4{SF(|8B|c8h9jgxJ2sUQUs6=n&X$h$n$cvB&3k^}r_#5xY50_A zRlKS~g+)&joaGP5Fg zQ`3A#k-NZx3TI^5y8Vls{CFN5JwlX0(1Y4gw_=_g&TG8}O@6Si zcJm%8Pc~g2B)NGN*m&^ZCyIjd9^|a6IK>zpONqh75ObF1=b?0^)q~>n%r})kePq7U zvY;3aAr|@-WUxIu{@VC>;_kLK$w#G_8JOM9 zbrl>p2C3mZxlRl`jivi9rG_Q0Hyhn}eTIK+ar{ze#xfF2l7*=Q)L)hJ71{BCn# z%gyg?4z2)~5RTbG1r~Jl4$m@3+cjxKf^ww@URom0aiFBS^21w`wVnp)&5S~b0%;+s z(2qQdwY1yefk|;yKui88za7cQg9`y&XgTQ*H0es|(c^zbv$uf(@w8i$;z${@nhZdnl_2|wma4mFM9GHPgg+0P}ZgS zP55KTQ&}bjM}n1O=ozu3jLzw09gXQ8NTFLn5mTX(szjvEmpY{Jn`neo)I8Rli|cQD zu!q%9ien{vxcWo;xZeHv2uKoz0BrroJ#(sD|LZ>*Kd!w#*r@yJ|I`uMB~9zgGdTYH z(=`?g^M`e@>ED}@3S5uGEc4sYed2sD*arW7RMXxzIl zTMTTwDUHFibL`~mPiN}nvP{1_uH)zdJKmAdL>Df5*aB;;JK4sGJ8m3)aV4|2$x5+g zmF;kA!%ZlmGY2N1CWNCVG_Vy>Yz*}uG#qvvB{okX!)@XDD5M@I=T`k_eCK6U>eX|L z%-DkW%`^(C??$kj$4NQ{vr=+q+YYX<>rZ!TE`AX(J6YJ_+x{Xy3MezgNhqveC50oqBS!b_{qbSXuyi-Z>BPN z`)Pddxbce=;RLRNrmubsm@2*sx}}gQb83oYifmmOI#u6TEQ*#k+&8v~oT7`?dPW*-Bnm8X5}vSWfzjp4`h42)myl%S|HrtwtHlooaD1 ztyq(C6~;@PtV+ReoeYoeSb|bJj^R#r?XU=;l4VmI$-&j9vSFVx+x6e&4`h_1F&5-n zm@INV{kZpga`UA~PpR8GG(i=s>7bPY^m0i)!UbP2IDmsQw^K^|0o5~1gU3}9GdH6X z?2fjqu2O_V${6Td;Xspg+THLKCuO|Lzhb9%!sb)XBLY%MYa!*p(6L}C-K~Pro-qDMj+}^`DW^Xz1+Sk37ZWJ_Fy?9FIpII^V(i`l^l+3wE<8xd3 zROWENTp@UUKLWaPHxGce#0Vb279l;J+$xSRl~y zAmSkvbn}}PHB{a5WbaAHbal=H#Emk3sgDod(;|a~ga|7jQkZUi8ozlxwKvCijuTAqW_IZ$2y^cr_7+dRTA1qyX~1_g9j% zSY>x#MVl_pBx6SuUxXP zDFI-#hfB%Rjc&HezE9Jnp9;Bsm0{>W9L(=%T=H89LW1j^qf6nMJU*wPCfnMxrTL(k z<3F~cCxSTt@z+Wj6yq0#*u{myri~%6+;~csmj1^Q=S9&NsTM|bSv}xQr=R9eVtO=R#eJN3+g#cn2NX|hza4f>)xZ=~ zkFr_M<)nxD>&x6}<)IX+ zy8XhqAb`~e0r%G*Gcw?O;71ZSP)B+!#ZS^e?P>#aH#oKFn+50hF}?yMk@P#bf|vlo0knh5w~XQJC4>dTEbXZ^ElLT%mU=!Kn6T#4Twtv*xM zPa6||rFdm2wC8SUedJxr&x|{e;yfh>_a#t728EKtADXTBQPPMC3JRV}L1^F1f2Jf= z&;Vt}sh7%Q4PFG^+TJdncw?P~i};-sk!(INr^sbAH7{x2GH|BXWk=zX$`Q^mgRRWxELks}zLi8rkWpT8D`CWJDeX0za3kWclHWyL zK}qP_?vHH=NXdbe+3lhsJTfJ1xYNd&_t)#k3mQlNhFhU!7oKWD}AiOvAr{SG*ON7jcyn(EPl%%S9y*?|idYJM1gRQ;LWV)phE9ahT zeypI8EwzClFn@|7?~x>V)B1eIstftTxdQA-q6-J;oMoOdX%gDs3FKlHMQiKX(`5Je z%QtrQ$4*GdeJTq`F+LlDM(Dg%EJBT$dWD+01Jyk5Dt?DcSN=H;oy(HJKs-A$(a~JQ zn|^j=)|_Lv*|*hI_TaVPyr27_o>>o>V`5yD7B*L^fX}i=iN*6Ih0izkL_gD8to~TZ zRFQsgXF==Vba?chg|8R|CZB`)JgRxK9G){0!sCCR7%|F+gC`sY4oKpMtY;&e@3hym zMBg7|^G(@!y^kdjeI0IgMD(Tw^dI`I5M;v?1m;6Qy&vdtOLx}?y`~9b;j%P-)mfc6 zURDP)xTB2#(XQD9v0?OAt$~NoS}f%}{-mtC7QcF2pQC#!G#Mb*J%iJwKQ=ZthVN(n(IXQ*`7@eM{yNV z@xq83o!hFXjR@*QUID#4r$bPp!mzCx*os?H_gVwI&uB1PBEh3&SD%!UQksjjE1pW^ za4R=q#jV^&AC$pP-mz%fhTI&)uu2??up=5w{IVi`tGmj6!D*y;P-gQsO)P1C}x^Un0inQ zeSyz5IaW+kQz&}SXnpm5euTl8K!=5qur}{42vf56%;Mg;jf~7}O?o%_MS*+khhizt zXcu8|<~pZe5+&3djkxnsVJgjvr_58WDFv$M`fk!sYs;}#RtA5^O1n3FZ`Id_fKYWs z_MlKs0Sf&L+6Gknw3f^J0b@>SKAbWk&TSb%Qb74SnyYg9CEccHpywiEpFL7)!SyaOT zrNOpJ@`Sla;^Y_B?`{t@D+g)`tf``N#!Gw5KoJh14Kp`6|G*G}exc83$zU^2VI|HH z#*Tc_;F-CBv!U?U!00iusMk%8HN7P?QupL*T|Di1{A-gvUXaM>*V^{&xbaby$fn$K z3yX>8|Eh5A=_4DQ9*KqHuP6d`!4HEk$8CC~(SuaxW4`X)or>z6EZ>Gi7XE3@3~fwSJqyU;$ zJMo3VYfyqgXG}^n3zDFF@v}s1uVHH-((SS}O)ormzK>siN!P@q93;nc@FbDHO(Jb{ z<}y8UCmtYUE1~TIJ4W5d^Dv|7=1ASQD4;C7r;wEctPuIsq&{KSlQw`8`aRo?^|xJC zYF@ki=x;e=o(Wua6_T3De1yq_*Av3lKh*RdKmVAmM#O?!yQ=%6*!8la```s#X(uk7 zk5!e>BN+rj?3b2U45O#BA6`~#IrjWTyzPk!q#3TN_Mll77xC7Vo3z87G72n7vMyCJ zAi6}S6#mW}02chP&U|Zv&NIRSERY+0ii+9^n4oHJEYRbBQM527^L{?=THBz~zvxfE zp{11T+*RrCwV<-jfdCHktv%C&p&zu5zQ}zHT6%G#3lk?xZ-W90SgnqlxXBfW7~K_P znq3Yy%?Cr5uf>#4FAj>lf#iZ>4ljfP5zF)5Bdb@otq$kle(b2p{ikN~ zaJpCE!AmTuk3Z!T&HC(rd=mMT*uOQr_ewRT=7cS6q@tm!VXGCOGz&I|v*+rBq~Q%Q zgIxU#HeOYAMO6)Hd1R#My?AnImUG$?arv%Tp{rb2xh$_-R7lqUjfH)<`6wZ0j?Amx zz9(QG_>=E6#fUvyX2qHXq6ba7&V@vFjmiA9R7|CjI^w;t$4-Yndizmki)u;0e#N^8pZN^H%{u$!U*ylf$H9JqtCT8HL;`9RR1v83)7p-o58(~P z3FW#G&muT`91ihNF;Sg8ko|~`ckSnK4Y#iT2K7Z@LoKn zfIvLNCS#&J$-U27gR$-B{8z*0hS(>M)9gRm#y^)=Kz%$Df{2+qlu^qCnzVr4(_Z=* zs4nkn8R^pzk#Foh^=#&Gip{eh>ui18)JyG8;Hd%P1lzb7O=@^p;}(2G3xliP^5C4g8MZFID z4Td>+a;cnEWk4J~xq<;xZ%Bg5me&HmlfSP(Aqf*#cBoAGR0_tS#X8W}yrtYh3JC$4t@BpQE+;P&RVkh;QojCD-b9ln4SKCOmPnMzs8u@=})NS}3 zNCs%_oX@WQ`qYem(Vs`3#{aIL^yT(OK(aLtCg#N)2+$k$E>>K@W(AL=o_NlI>WNgy zCAM&;>xRMPmJDn&7+3NaS1Kj8@twfik3$}?&5p_!4hy$h>{y>!X0o(8?94y2SiL=5 zvxxt#b7S9C6}Gi+m#hFDe%#d{+5&BRAF@eB=G!;TG;>;*wI1ht2jdOM&Z%pHt{OFg z4|cn?4w_2asH2VXYA*!tONJKQPXX(#&nqE&oi_JMIZ&=K{p5-pL6VN=R>9D$?x}x4HqgW7piCh!@itm%2}WzGuX!f!}S7A@A*tjg%{E46Hl9F2CMJRUt#NmRd{U+OzS>i=QB{6HN(c zsXx>bYv*_6ov885e2IEeu;Wx5zmqeXk8j)57%0h*nAZ5w@_yIF7NBeOfR(x{Za*NI zxuBh6e59&UN3pU!COkDo3{)@87qKT{B}>))$$E5)_`Kr&+gw~I`=DC=_~THo>B1Zc zhr;8AacfdU5~ie&gJDr-_OC|#CCH>CE7Ai@pd75KIbjG!Og$Xx&+spC&Ar;WND|<@H0H&@aUp z?J^QH3E1zl9({_QS%p6hgBzVYSEHdG81zQep$Cp$d1apU;BwiqBNA%;v_eeJS)9*SNcPYIHTnYx`Y5#$0%+F$4vuhd$jFyNVxD*XIu!089QI{=P;GLN02%0&chs7#|W54oTgV4^iKGjs{ zv}D^)S5tzgUJ6?T{cooV^ZX0N25n?NTX0^4<2Fb@DrM`|>gWZZ@*-r*$)r6Xuwq?u zDF&N~=eNXd6xLFbVV4OD;<=`N<&H08&q9jDICzC7I$-HyKjssX#5QCe9dIL9m~4V) zMu=QyhV@o>vSVC(0-+z>UY>Og_9Y5eDVM1A?FL)5Ms+joiiM(p95*rk-3MGrx~-B04P`@oSc^r|+Jn4sLSj5_%TsFO^L zYq>(5Oc%n0KZ!mtW>PX83C3(o-cBIb8JpB{(gS?NeqyfDFgkGN3bqgr)3G_OSNp0v zspgvZip~^PNgP5_Jo zwM$gX%FwuyDN>`0#qPrhQ8@S{9te9qvnSqL3w!nZ$5{=i#K2PaA!p|i??%ACfIu*o zr)pRkCA53&vN0DHwX$l%Mt6PUY?d%y@l7Mj;^%Xbi!?9Q(|R>ozI>L~9GX9f_$}`v z^{}FAqaAjWborCwl9gX&Kj!nX`{Bx~-q*x+f8PFu%%dJi@NGB`*XI+G^9u$t2ZqBg zKQ?nz;V$MDA2zCa>RYgX;CMIXAg#zX>7s>g>N1 z1ByORH)Kdj5qM^r*#>Tdp3&eYe=kZP{k$|s7Ue(z8KVAng5<*u;pO4ovn`%}>g`6@ zKQ%)H$ma73vciEduGQZeY460w`}BJtYTdsT%!zY9y~-?Lfv=%Y4Ni^1I)bgP z_P#-tt3GSPZ}!i%ESJ_no_*|qJ`l7iAL(%lWB2qGXLB{g(6 zLpKgd;qOmk2N|l#ue#gdQ7B_#4zS;%B+aDeR3Yr{$bB&hf9WsuwfJ-b>Rj zSQUGQ@D)OTLH%3jEPjHjDa`-CgU95e1-1fMk7C`6h+4#UTHU@^Lj9Tb<|)PLEN4C> z!^y&y3L`u40IkciQ>h*o4S4?^oiCzaUB%EIyJW{*k=e!?HN9~0Q7vlF8an?6y+3Yb z!s=qvR`k*jM+4UaI-(Wdr00J=u6SN%?GvhyQ*wxM$6%=@Hfxk)1% z`=v#J>Pok+<>$fs{n(Ev#|*ySkqZcNzmux%R|+msr?JbG9%E*HgU|o42yL2Xj+OXz zi+|4I)b#{;r>4MM(E$i4ezZS#YtP|0F)g0c5< z-b%~8>nBCM#*x`#hXlJ9`F|RqP93$@6D71^>`(n0exmB^;dxp}?&ukS;WM7ko5*-L z5PsID0SOVndv;5L#Rj^%A`V;ZZN&rkHWy+7UC3Rhr+7sR+%qy<>-7)eUkAZTfPV|2 z){TiEm0VkC|6Qq%pP)=1r+^dbfVzN|;LoOEC}OkSPmO=yUMJq$a!%GYl|Xp>z>FNk zCH0tXB8?fQrQO~~%G7HnIX>siZaxi((24wtt>Hs>RPtP@4zRx%udEB?he2-Je z7au?n|HFL;8qW0XGLCtT+FSl{AHzXOk&WzFSOkl=ockBMK!EdbZ=|DuJfOAM_EE8< zd#6^3{1&`5d&-wDxeBa^V=IWuuRBTI`BLuv2%3=ptL&;>wiE);op13O$)uYMrtbIX znd={iMbz}%h}&LhWI$YKn~M0@mom?ebJ^*+%XOQ8Ix5~KcH1fSktPSZZOGtfw8O+l zW8H|nt7MEW-&SoJQWwAV5yO6wzC8y}mXy zE%d_d4$qZvbLU_blf9rlqiECVySO*m5ig)m-)Pa7qI*oh7Rs1%H3m4Q2>P+n+Kl?PpUcvyrO}sm>NI;X zmz1;9X;_L#ojj|uv?d|mqfa@MoYwrd?P^^D`CKon&cR{C;;LB%r6}o{kvh=V>`xU# ze-Jkgb&-k5Suhq+b=%ycu#0@-8Nn$Hp!^i$UVh`b_{*DB$LX9Ro9=ygk+JB$j}teP zT3mhP*wDJ}qyS#HXblAqyzAFRX@9UpChJ#SCNExsI?AnRL}2xBS`kiqy3O5Od$8rm zB=Ovnkj-ozy*nOiFzeKEZ;IA#`fpn?mtW^VUP93s$#Z zc}dO+lQb}O#6O~uc;;07O8Zpsq_&fxKFFHHs1Z}bt^7(omv`=U?j!AAos?b1$!d-7 zguL3JMbo_7_SHiYx95;1n>|K<;ZFgD`D3%W!R=8XViG8|LWq$Ta;?!8UwZ?63sT&< zOR2SfLdJ3!^~FB&O&uHYEv?qvw(uXG@b(O}C2SB8g)!S!scDFp*>U;bILKaVZt^@S ztIL|OjJlLh7yP`{aCT}aIxcY!ZM~_M%NSYj^Q|s9^!HB5und`Z@!Q(Wsdi08pJC!Q z=>Rb!lr6|3+RI@qE?zT!nfNA+qvWzi)?N#&9&Q6Wz7bV?w6vD;Tq|@?nCNo0NLkOt z7O${BY4Y!1t#-%W2Z~Cv0LqhFa)j+uLeY!)BW8gyG!KJ>i5F7N?hATJxdcbI5Kfe9 z3z=S->reX8 zjz{TNWBo_t_KOX_cG};hf_E=ThO*`xwBxq>d5AW~dr#*mVyrQ=!s!G^_T+`~*6+SP z0qa%VkA!<9roA!87s54OC;l)_tiU?~uFE2XGus&F^Q1Dy2Vuo8|4K1wtPK|pViGoJ~JC%%M3L{9kRmYj^<$3hGB&WHPKGL-~(MI&x0-M-U&N;MSn?YkLWy$v) z;a1A32?g%0Ukn3r@E)JY8e7R#uHAp2);VoWr2lLDgKk-HslDS*@X5{50ip35MgO?5 zocX>6Gnp#$eepKFT1>mk-UobpPQBJDX%6G;_FV1@O%1{!Qyd9`ZWER*Bp7a-xBYS? zr1-p+q}@37JWU=Blk7r&ih|KlGeAchj*S^1B}o7N`&&Dw|6O}T@!0*>vgmKnK(Pzf0C*+gXu_Uu z%wZX&rjwM50LH%0zBE9&6_b&z@Gz6JF-O1e*^@SDBU~4XAX`FVbo`4s#lC06`;0#o zWQY{eg{JhGFBe|asXN?q#@IvxWi+{)`l1RHj^~vvBT*fvLb|WduivaH6_(Nn>gs;# z$7K=50qz;AuGzV-#oD44VO*QdE}bEO(3X%Qdp%V4aKq>O`YWjCSI=J~VY#nVBM6{T zms)YXR3BJIsRr3pu91Qs=Q62+GsRRk{Eg=?P`(^o6~J8vSWO9+wrg*Q-)a)*JI_|w zQZvGt+V}W zOjdp_&5?U`?=1TeTbp+3wV&!;)3@?@76KPDF_J3tTn=(wQF_g6mmw#ag-B5UmX+@q~D z3E7K{JU`O~k0DuLP;MvSZw}qAXlqr^GfXRex5m6M69pSmVtUtOd_bo7Bp}arJQ=rC z^qq*Y>(HnIJKr=%c^uudIV0ZJh!`O@toyoV7V|ii9q2Zx1G#=Zjy;iDao}2i5TSACRkTl=JoQ~ncgVfX; z%u$cR?lt$G(OzSIW+?oWgv)iFMO_|u7AOrG_8Pap0e$xWE1ht%|7Jt!`P58Xi8P*i zMk`bG`+3Cj6n0_hYBtc30y)aEP*h^sTOZXiXa)^uc?)MJgE*a<*+ao=KSxqL`X3`$ zXvZCLWXjLIju|3X7>8%XxqP}ZW%p(@vXdJJ>a!nZs%CV=pQwjH`LpO@jdQo~`+(TM zs*O^Ib?QjT%T^9NaCNB&erk>_|7I&Ua6`Ud;}%yt6X^L1vgf>yw-u+hw{ zRi923tWhWmB6nnjcfN9y`;;m$d2^x~zQ1`_meJAhG@eLm7y6I*?l@ZRc(W%&i!dd` z6tyZ_7-3wS!4ozh`h(;a;)kR>m)A54eje)e^W$p*Qsr9~fT8iau`$-G5`@nvbiIfN z3`^0Qsodu>9|6=pm0vFqL#**4;FE;e_%oMHhpw0;-pR^drnMJwt@m2H zj``TPA|^bE6hVmVPc>|c_^ve0lXqDYT2Aw=hILl0v#%sCS|P1;++Tc}gRmRjatBTv z_}HOFnGW4%LC)iS3eZIel{A5WM4a#|u*7NM2AWNk2%Yjr_J835>c%MhB9L_>{v zNT{YIU$Saf&=m32QK(W4 zLhv)f4WIpu!UfW$}H2&@_rtpwdnUR_VKD|ac{3Z`g!H>Skt3>r9(>Rx%=42F+tye%j1^Tp_S zT#qck%}G}wv^3J?`0u$pay7e%!g!LlPU}9AkNat^Znf$t9lswlMHqJA(qg#ieqSqJ zGcfAVr%p^)=7}aaTQMm{HPo!ozLRwU!i!xs20EG#D+6M9Xq7du6(nAlftDtQB_iu<)74%o- z))C-b-Y)rir*=8O%)G7mW!S!^2~%@h^Bs#Ufmo}}XmnV?nizwXr!dn(&BMPvj2Q9M z)l*+;uWVRVUR5hQZtk|j1v>52hN>pYJ@;GoxcXy2Lg4j>QHmqO>!Iv#F`|OQzM8visY1LJ6vT z_>SKQHT}nJCAjK!0NBN60G`+kr=K8yboEfMuPAn-0P(3Vxd)2f61M^0My^!;e6!Bd z(INQr)i(d;Cz@=hS$A8oIH z5KJdS`DAoFbCl#U4hDXttz5snA5omW6p^@ZO|$%Y#l9r#NlI($I@zPEX*I3N)s#Dw zn5jER!768+viB~JA5->hH=C5Gkt92c@%^A&@VD25T}2gc#V{dl3G3_d^=cZtD&3s;6$1E@$6I4m3?WbZb z`_H>MKg*M~pp-1Oo;%QPCAN{pSE}B3>qQ!L=@?V{jn7WAh?vS~hjqwyIY=>vb&e;) zT5OMf0ohv#jRP$jCrkA{rM(|Dy5_4tLzq?DUxbI)+KS&LR#5Ric}2eH z@OX}=3g9=|8mU<*MmK|<@jV!_j@X=Ljg*piBtTWL%44D4TIXA+C0Mq^(RL( zBPv^lR@!G;l!`;|nfh6ae_$>(w{d%L_Rn6gLOItyx4ilogYiWOqmjf<)!enI@s8YV zfJ@h5%kI`F{ohkyw=iy#0mQe>liHbl3r9V)`nJY1NIei1hco3ATr=312`Bo{?xLw&_sCT$hq+^I)EU!0BKBaN8_r&bgIc&T>vBf=( zE#R_&C?CCl@hj1Ny#>^yYttAz;KA-p_VX&xw9wR5h}b50m*X$z#uUsRrFGZ+`q<}E zZL3w4kCz0Vs5@7g9=^ZvhkPgHgx%i!4?7e$i7`1oTh_@b1@k@S0xl0&>J_YGX(L!{ zAov1+J@s2koJFkhXVCPOFd5FwhYBNwW1-HMI-gI!t!QP+^3lO$2+AM0@T762ix_|o zf=9}$sZzh#&R}Se#S& z`OT|8few|qR~+X(9WihYh3h9u?W^Iwe(mMVs^lg&8RFKnD4n0xpPm z$!9wmOs1dlGinm)z}AOm`w=}riOqxCA#5PdLoFeU+GmqS7;&J=5N<@Zo(vhU>b_o{ z#4eh-0rg9AFY}CqcYRq@Fzpm7 zX}>{qvk+5`iRK!}{a}BQ@av$@vyONIwuyvK(WcVaw!OYu(Y_={trS^f_J^t9#+7JR z4F-_PFZS#6==HP!j$>q_zoH1mM(k|^9t}7iyo@l(6ql-u=oRCs|H)cV&0BNfyER7* z(qP^VKlW)&;xg63U!JB}bpXq#VCKFlA756y>Wdwyz41{>@|%VaD}U-`2NCB1>ck`T z@e=;I0)zivY&UDv3IUQqQbfedH0)eO4DWtNboCxLnZ}RxaWkrp9i&yCahL!>Rgeo2 zlTpIYDZ5a~37~gO^O{euy-Mz<>e;|i|MZrwj;< zN>l@{G5QWnBF|Y>@5cM&(@({Gfk6b1Awqaah4X_E6P$a5K`(_0)$TNACPIRi*Eha!A5VRHGxT$5D7R!B@Q6mUh_s$dB`(25xt(EMTmr6 zlSJm2Gtm@-%G#)rk~hUrn&Oc)Y=Oev0#3y$ghP|sEYsJ~jLR;x9#VJzRBl2J>Ffe` zvYww1%I+dSzWY>iTGj0grX^^%2v3+hZ}$IH*jzc7OX3w~gj;kPn0So{1#a4Q+cszG z87F32?QGe1`eZ*MFmqVX>U^|aTVm^wIv6Z-*NiO%KXF#l4Oyu(awst-(q1~Y)b8
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "def plot_histogram(df, column, title, xlabel, ylabel, save_path=None):\n", + " # Extract the relevant data\n", + " data = df[column]\n", + " mean = data.mean()\n", + " # Set up plot\n", + " fig, ax = plt.subplots(figsize=(10,7))\n", + " # Plot histogram\n", + " ax.hist(data, bins=\"auto\")\n", + " # Plot vertical line\n", + " ax.axvline(mean, color=\"black\")\n", + " # Customize title and axes labels\n", + " ax.set_title(title)\n", + " ax.set_xlabel(xlabel)\n", + " ax.set_ylabel(ylabel)\n", + " # Save plot as PNG if save_path is provided\n", + " if save_path:\n", + " plt.savefig(save_path, bbox_inches='tight')\n", + " plt.show()\n", + "\n", + "plot_histogram(\n", + " df,\n", + " \"price\",\n", + " \"Distribution of Sale Prices\",\n", + " \"Sale Price\",\n", + " \"Number of Houses\",\n", + " save_path=\"histogram.png\"\n", + ")\n" + ] } ], "metadata": { From 632386ffc9ad348c82ce6c407d23142242e7b59b Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 10:49:07 +0300 Subject: [PATCH 34/98] Create histogram.png --- histogram.png | Bin 0 -> 41110 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 histogram.png diff --git a/histogram.png b/histogram.png new file mode 100644 index 0000000000000000000000000000000000000000..d999640d1e36cb72015815334b7f9853feb18a64 GIT binary patch literal 41110 zcmcG$1z45q+ATZ{46J1!CK#a7Dxn}@Ax;qKE(;KlkZ!PGEeo9zN{WCqC?O@Gs3;*w zij;_eG}6sKo{4L1zi)r%TxXyE|Gn0}bi{)AzOXk*>jLvPd)wi@VGB@Mr zJ;=M4d)q~8YYQt8K0ecbKEP{kX~-w|JT(>4XTq)>a=_}Auyv^W1WXsfr9 zv$QXm{=fLURb5rpH!O&{m$kCAD#Jj?K&amG~&%>)BRbY zFLyR4!o)$z(lSZcbzDEyv`#gx$<--%)N{q=r}0{8(zKkJ2@}DKWsh%bZP@TJP&h2D z(NV^vCPC%s(X0FU`I%O)4xO2v?0R0n!le*Ymu6mbpvgImN9)C&?c0wSmIkY|7W$~f zYYGaQ)vN1d*{YNVi>aiU>F~J;jSr^votJZ6L=~3sa2>5r9Rk|Ir7ECrp`1i z`ox`0x~BONqhgeG*D;#x_kx1rmofAHczt8p&0DuB?ruFalsh{um+d%QUKy>Vl58Lw zlG-yhKIr%()H6lDXg%KUlVMMPL`lE_@^lp)6_HF^xAt_kEsP5fXKS#j(Ybl&j*Zha zzRbwT$Z6}ccoj=!a;bPM9{#%npRlmThYue_EWiIr1`%I2`TXqcCVqq4M~@wonG*Ik ztgWq;mXT4?)bu}h?p%slgGlzzcbon9p1ta^a%*Q-+r0GUt9j=={zE}QVblH#CxdH} zlaj1wrX1eBecR#5>RNVxrxY92q&n_Xf=<@ZCn?rwOsanUmn|5xl2O0Wq7N@j>#Qe+ zjPwrd{EAm7UGD3{rKZ}HJlX3rhA~?;@I;}5sR_r3>84kESnlKUx{Dr8e5+=61g|XS{9mbPMZj z83xAZ-o3|*S?mulThA?j{P^+Uq>4znnxT#gnb6dTFt^#6&ZgYl#DHd-oZyKKOGbL? z3|Zs?gm{`d-Ug@J|9ryY_+vZ2`pS*_kGsuIHmO8N`#2Z5O%K=j@7KRcd+;FDq=r{) zW~{{#t6JK+=Wu&R>0=J1rx%MK?rT%-W7cz4IM8SxW?U7c@}$eRW|HM_$GIb{l>VzM zVvaxZS4k+R8dtGVbEiiFS`D|((>vrg^U|R{)23@pP4c<7j8+R%oJM;cJEJ2Rm;2Hx zlMUrc`~_t^&Yq;H#%o4QPmcPHP552w@3+8@ivo`Z`uaXC6`w3Fh@Wqfv0Zzgj#! z(&K%dpI?<`t~YqTCh-u(o8jr(`R>dO_APfZ+x$(2@YH+w`IWHLE5p3RJ5}F3s5*E4 z+_|9-yF)HkJe3u39(%^C`!WhogN9WcX~ls(DI<8RC`wv;1R}r>c%UpwWt35HB5_8?n11Nf5#-JbLu#hVS&u zWZ!U=nx0X?-L29mPs&S6-y|{T&p(%>UaD0*&|v+*akQ5wtD*Pj@ZbY)?{F{iiIZJ5 zi8Y_XqkaCaB^h*kdTsn6l7UPr15Lb~>K5WI1YE1YrR@IN5w5IAGpTYzUiZ>MX z$euo3ji}IYLc^}FF&@EYeO3Z_YqFfR>ejAVoM1ojhq-+|EDW zGCK}@*xm5@zW3U_G#YKFLQaCjldAN~EdrL`-|y%;j3O zGHE_PcVp2imbl1Z$C$i7djDFx`}D=~aH@g5E#maPt%qz+$@uZA`0?rt4HWUkIu3WT z=lJf{o^)z{eIs+YT1#w#-R;evt20L%otE)Dz?1!KDKNoYIy4qxJTt7?*R5R}hGo@7 zoT@x;7t;)FEjRNCe%B1 zw}-e@2MSx^i`PZnM2l?NiZ_Z4l^y$%?UYv6wQ=LdHtEa|x0#HY!I0S>B?p>{2R(%; zjmOd#QuwSIW?JxVRb%6r*RNlTir8UUlaVdy_>%;T03p+L>(@WMetn^7<4X#|O+CwXZE+ z#rvsdo4B|xCZ!6CgN;g7dzx88b z{LNo$*{R4rWmpvKRKzqzd;4^@XxRXvx5gDAGef(1G*eE}QqC8w#OiP%_<&%f^_!mD zV*G4mWVA`dItplF7d1vRHD+cgQlev(+t{_M*RGMohKqERg&w0>_7?08wm)i~Gj8zw z3mu3F$FF%z|V=ZS}wo;-Qt{peBjPN};;Zt>;F8yGxYxm6^bByKL%xILd# zMJP8}ZX)mF#ozzRF5v zYPr~GeHidtpIPq99^@T7ma?<+%ez~IpCIR`$cc|%c-}esX1GQ#u`4lG7t>^r-d!E9 z^;|7m)cVK0VEb=Nllc~{*c1*hkS=Q%C}2brAN#r>yZ`mF!jB)Tfdc{d;t?5JwG4at znh`=P0ZB?8@1nX*)-?^iSu1z3qdbBZE^O82eNbC`-eT1<` z-re39)>7aV5GH5UR(zjL(DaKk)`JflaPi0GehU^Y-(%5fpqN(H@(Q$Yq|T1<_7FR#7Yc=sT=DpqvH^?5y;{urqt-CQhpi+~SZR752AMsb^xHzRnw;ZzT6$s(UMy?xb_GE3-h?vCc zrY~KjXaXxWvmNOO!Ao3@@;3jfIOVJUt5>hgcKQIw4v*E>=jM2NdbVdt1)bgC*!{df zIZ;=PDy%eLE=WW_{#BvF`dEA}Mmr-3%Tx5r#5M_+iJ?y|UJ}8E%3ot*6UyT>l8cQT zffT6Eb9nVltK&4BH#iTLbbd*VWpV1>Mi$3Tvx#`?Xy zRLq5Q&MQS4i~ZMmX^HuA64T0YBc%`bsE}7@mK9%SCGFV6Drzs^RUQApJ9)OF&OA40x4LvWVwfrK zS8pGm2wcC?+5FX2hPL+|?(-H1T>kdPnfXp;v&ZHkWM!Gc@fOWq{;&*7)+6`AuPj*H zmNl)E@3BJAb;_P9JZgG*lGVL^L&idP#Xr`pIoI2v7Wjus=+Tc}t%z-1etNDS28+_Y z2a7({XIQCZShlX|JKG*3d29XK;I@aX0VQqgQ+NToxpaWlHM4Bv%PT5|-!ki=PCVk9 z*k#Jhr(20@aB#Gn1Rau0*|zhiCJu5X6E3>Ln_bDy>)Ji zRgAc)`Qnn1_-+TR;G@ipg{3!{xQbhVW|q*67}ZUTeCSoOH^nA?gpJ?5XmH^IsTywn^_Rkl6CN2BDn}At z4oH){MZ2(QuiTr00uzi5%`(S;;m)acQt64$jGf0U#j?7No%Kre2?3Pp46ej!>l6I&#bp*q^HG6aql01S&MzdRHD)_iMJenY^g2hY zzuFd2q0dJEEGZaCfrQGaGm_GSq>k68@=_;d_4qFrocdd1>pYfn54ypZkM zb`*{FHqqrypVb0rPD1oK3I>4dPcyoj=dS}1Gm>N zTD-XHI$R~_KxJq!t9`~6N|;VuSZ zO);w26%i4^fok9UalLk!5DA5oOmA)_Oh&Ua1P{BBM=ip^|H)vcX&SJ*iW4Wy_!PcsrSJ2@L{>r5xQlS|n?XcrfmrNv?n+e(X3b!cc_+30S# z#1HWtwVBz@oo{PL=n)xccWA7|D{FebE$9h6`l%vc9;F+MOeoNHuV59|cAKaO;Z93C z*qpYPL99(d@>qQSrsf8O|KB#MHE}p+=`Z zqYpIp8;hK>8WOs@yU(SSbdGjJ)cLOS>zYYvywIA1w2~6x$lLHGGM%^QL3^;%X+h)4 zGO%UEhQZ0n$*E4GW<8DBT4W6%{)CZ=3KipMCu=(;eJ82(GkDi4kVwUxx#yI%b&6`7 zdMJU0KvHEB!(9z07?YBcQZBcgFs)Bl05B*6kz~@rH=v&poo;d_Y5!5x`mZXA!LB+w z$8IH_kkZcG_15TG*OKUxHrB2wNhzrSr!_ePgohn!|VL6Q^9dt89Rv zi2?6KOLS~v&X=B+uV2pqzEepoMnO9SYy}=q2V3(N_%t%OpnyoZ$CCJU#bbN=)F<4M zPC=|VJ{etmNyw(>OO>;2AK>tpmk!B7X7y2hIg_V5Iyz{Usye2qi=Mj)bFCQXDYN9L zS?&4y1j8*xuZ$2kBMVc%$Xoj|df75}C5AmKS;a4T6y3hPoG_TneOGK2s{C{H&Preu zLUt8fHR+^VgdXp)>nR0z^R{Pi9bgj`)kffL z#VE*w<3dzS00*ku?cSFU%l1bs{6%)U}(|Ch6;Dc&G%6*4Tc{n>RRCZkVbqRd-Xf_}%8Z#C30MS{!Od z)*E1W+Ab?Bqxkq@8mw$SlXo{{SZ3M(^@!EFXxpAI5lJ@<6cuT%GvkJchs;i&wjs-o zxO@{?Lx_t)1W5FAJ0 zdXsw=KQ=)&@t1JR0idrNpB(KQz4$Yxva<5rorkIk+8Q-_ZrK>JaKObM08sq7d??E_ ze-tKBr0;@t)lD(3;?-!V zf%vdGHguJc1Z|fAd>b0AwodOc_R7a1T{n^AllV%oM*IBC8YHF09mkUMn=R`6Ls7o4 z=e$r!P!g&^IJ@9bvp=HBtVSqaFE^*GeaB!+X8(h(YSDz|ucdA?R-rqafi0|;dA!x& z{xCdgjho!`^5RRG0?AR8YNDoNRU+8gkd-DiX|rfk4bLgdG$W3a+S-BZc{B;uCwMQZ z_L6aZ`txz_39R?}-jJ)yHw&Etq*wJ~5gWp=`6uQAf^QPIcn_&o{$kTmZ-W+~WxQ4v z#hw+Z_$3<%bUCqM@A046qm8kf1dZ*TT~D5*^Tg*1?sgz)@LKbU*Dwh3>iku1!+C+a zelJIKN{T=>hzy3DTvW?gGm?rQ=O4tdSUWY@Y=4AU!lYhGDxdEc|LU?%`{ufWQ!OD* zH`@^*v)QpD!jF+h!n{!w09H})qv{UH_=}qUz3DA02gjyIn-0|ZgaBE&^uJo%R^Vqg z+{~ksX}wP>1~G|1`uO(}N52!CPIx)0BEVNeaGLej9!}$l0YruvP-gzD%!UiQ389sC z?*obq)Jn^EB+kEE4vK&iMX5@R^5r_+r!OrUx~xF*wXLh2avp2;Z2O6t{vu1(=~g#X z)Qr;(X<$`R^vDr%{M0GbfbqqncUdJ8P_1&Yv$L1_?)KyCZr?@e+lHVjxzh6(K2e@` zWkHD{VR7Hn*d@#PAYPQQ9LvdS;eN0ch!yYc z9J|3`+Vo|Q`sbF}q3V|VJh~p~1`N}?Eh}bF91$kf13kdP_}39HEnR4peQ2TKl+THu^s-(S0f%Rn2Ek0Dpbpor^i%+A85dCbVf zNeCaaFn?f!;^h0z7cWNb*s+6zR;L!OIduj*^?tB&#iLfeFxBd*&rm|0hmGf*A<^*m7IP}79b8mK@#DHQ z02rpv>ubcO8eK+p^eD?xKmrN-wm@Hh9>tBF%IY$7 zpQv@D9Kb_XMJq)PA)7wB_3otb_V=5$7{+4>D+snKYaM`hi0cHE{QoNG9y-WtguX)# zPC<}Qo`RxCgr>n3utyyz>?$AbJ5T5%s7KMjlw`8~1&p4MT9K$(sDetYP{2had%lU^ zN-zn?J3-2BaJGa`U{!*BLUrO&wlo7FX3)hi4EPuoe22l%bijLy{;deL{hO??zHWl zjr=EQ1JjM%g{Y!b!cMHno*F31v}ithrD+vj2*JR;?xc%@a<-!lkNUI2UZMkk63hXW z>3f|Y6PIcwlpF#3{;#5a(;aed>N>Au_=c@MYTI+V^4M=4%_A2I!)LpLWmR0 zOD%_nSuAlpgK@=*sW&8au4Dc>cb7_NC%*AoMBhpc_Bg!H4>q!l5vQ-*1)lWEX< z{l2^~jU|w#$z?Q%u#sQ}85kG{8Y1fjl8nxesP}jwqB3Kjb0P8KWiX1>kWHioPl|$S zH*U(wMgbs30ss_Sq9TzJnFvlByP;a7+W$O9Xc{iHgi4It6C~m)@TZv2O1+r@W)w>? z?-^V;Rbs+diH{vd7P?8uZzL;@9Xno|rYgvh{EuZ{1>rf>b=ncZRUX7KW=U0sbJzDaDPf0?^5J8m-1gx^!207Zkd4 zZ*SsHIgnp0_7IbkdEH^AjT^~x{lK26L;@W~lqAXt;p49@T2YClxMHhFN?FJ)GJ@cE zqSM?U-bIY!5)siPDn(t&xXcX?55k*#LZOuEJZ{-jn=FO$9pOeE zgHJYBgGK%dq7rA^`@_Bb?7^Zz&06B3aNqw5d?NW%gkt1B`kS%w(FQ+;$O;b6{0Y@a zp@3!|NBK<4NfM67ex9d=M@4xg)s7u{klP&0xO_?L1Wqp;u+WHYi9-`zIxB(KX)qvLrQx_CU$zEtA?w8p@Mste~-U z8;iGMOyn|$B^VY>aO^FUyAm2cja|o7+f)6TJ)h}6dyW6}wg3P6Jm*;Eyu%Lq$r~{= zX*F9`M&ds&&4qXwZVC!!iEwd#p;q$mISmabskuwXwW3abuZ$H zu8HWi&OyvAdO_n^j8dJcqtVRDw{Ie)X`7CF7`-mD#lXF0$F=)s3vJR7n)y-@o4pF3 zK7DFD^yAZ)Oq;K@&tn7k@FQ7w68O7X+iNlBlZ#X=SKRgnT)Vxv#8h8EFE-!c~htsbfbo zmihrUsNq3VZF@ASinvAbHr0oaAx!!jvuWYTGF$+RO_oGG!LzYbNjY9L_XcW(vg!57 zhF-*a1UD2oWqI5 zu=g;oSbg40>?yLXqje)lC1aKY#+6ZJNrY|siQF-ru#$YK-^Vgpvl}eog=8iPt}Nc0 zN{PDJM~eWN4>S!aegJEkbQwD|%X1b~x+r=Pr4#PbD$A z04^QQl(??Rg!XZnt?VkHS5tHMeeMxToAup&!{v0uPhBI+p4~O#iSn-u#+@jQD#3lx z1J_-D4^z&ya(*u9)(r`7_TD~PBm&3DXPfX!z0N&L14wlKu-3Mp!=sF%$NmYf9Tewgz}B zX~CXZuUS1j4U#7}mhQ=OZcSR{hw@s`%WLZ))r+-6&no~8_Ve$F;hnVDxOJ;3@8e{b z$&sT)s25cfKZ-v*}hTF=n^qjnw2)sbx92*D7V9;CeVa)9$i`vBXTy)UCo=-Op+!nD)5X^`n-R)DFe;4u&Y#ev#|V_PSEk0hxk*9->r^ESRcPcaIL-MQD=gsv(mFdif2APTMtW|gkkc=n}0@e zXEnGyIb!?b7?oi?DH5*PSC{$AYG#LX0Kvu@kb+>V1=P77~2&6-Nm zRsTw4z!N)Ob0WErUDq?*eaVwXD_`;uzg%+hy3FI-*F6?~FyJ35pW1r!FF7AJ!9SN* zTo3KJki3yTf(r$3fp_P=DcS51s_hYcT8NR_R)&#cJr~1`YZNZSz#Kc}!$6@NcEC7H z9d=dH$NF(U{961!ghl^f;{!S_c$`$%Fe}tzaS%F~OXVg!abDUIzr*_^ud8_HH!IuQ z|5?{nTf35-J!1752G%^SA0PhL`Wn z(lVx*@$qzR;1s?;m&ESz%#ZHx|3mKp=7G|`6m!B5y8Q_9dbWU@CuXl|B<9Pe#>g9q z0ptVT8{2y4>Hc~H>4Oj2x}M^v6#bk3r^ev;lN1U4w7U8k@*ZRSxSip@)>w@!i65e> zyP5~!bRd?yZ{NPHL%=}vibma_f7xi;*Z;EWRO(`lP3%L~=a{X>H|6&vUN1tiMM^=5 z>7fUNa!4B`b&nXF5YklYKD}j2mwwvmCHlmvH=|&)-{P0=4EV8N+X`|5X`ANInz8($ zN<&jzjUuWqtUWU|SeiLIGwBl;$W6_Ju@iWhjY?t}3O4+5;N*`ClRhWSiR*sdF4JrYvj=!$zq1>R%ftU7 z?h$~L%%y+N9vl2{mYm-8=FLX@@gzdVuM^ZLF&V?GD8$#dfK6SQ3Pw(@HagF&efik;~t%1Ia{#RlGRx{R6{`SDSw& zf#h|(rGdgbsmMr$gN<;Omb82fI@Iov3*!py0`J1_Ca~-fZp9kXB~=k}7TAR|RWJ}s z-QDtu&5Y5gVFEtf4?F#_b;-H%qM0b0j%h{0s1uKf_8$Is#MLp$%NFhyw(HLCN9p@qe zv-;1X;xMH-IAcC~8nV=Am0$uyOGDZSf1*)Doeo8WN_b{WwSL#5Paf_0bWv&&w#ch4p8b6OVG!(i|p z6#!f8^Rnyye3r!y97I`{HF^$cgnfik;*dIrpP6Kulki5wxB{OdF*P|1wi$ssp|R!f z6@Xh6@HL>76-IFv5apH!x6mxF>Vw#b$GB=sse=e>740)LH0+A-)7>x83rfvl3L=bu z0jN>VA(4bztXoCx%VK|30qVMC?Lat6voq7!tZ3rEf0!>YNvk@pEM~FbazaV}@Yd{d zusU#i$5j+KhThQqM4OJa6hPHd__{|ic(Zrd!ZEfp*fQGHY(jxc2$#iENOwv<@E zkr>n_#t3_k?Ll?|SR%v*3Ri|LmlE6&vJm_Mc&(foY!3O<^QbZ^W?1SE9uyR;`sX!Q z`ek6mTSm5=bDeV0dq=h#5G(o>G;{jkh9#Ey%!$reLSQ^hG$e(Iq-p%OiJUHn#;CAx zPUUAp?xrOFY>t|rJ)OZgA*wz3A+?lC`I*KHi@TkVpHs}su-~!$BE69ZHLvv_V=D!* zIDB8N^U_`cdPfbM$8lIUoUme(0yjy&NC0j&7f19SKcmQ~x&+Z*`_-#k5D z>Q)V6Z&`iO^EgO;m4S?t{rRi17-ZDQBcl%`1`3nK>wn5W0Vct*_G7iXr%VT$l&BXI}YA`wBG3qLSmVP@*qmeR7iW&qnq#*$Jf z9m~YrpfS)aM`A9ayJ0-@0KImi=sjP@D*?-xzM)~!-sQyHg(So~5QyrG%%8zM!rLN5 zN`j^+X(6GdEGeO<2aR0ef%p6-GZKM3Aa4|n)+6P0p#r3ZLzT+NZvU0&)R1jZQGVFF z+@`m_*0eeJ3B-A6WJ;fkj!Nt>^2BBtt?LQrL!*0Qz{-yMYT>R>zuBl0=+}uNhA3zA z|5l*pC;zts)h>7SOk;VXkR{_}A zBu|_mfQP7zFotna(JB%MTj)SaK2V1r@Ae*giLq=C+T$qpo)H$0e$EE8K$(vI+`fo` zfl9k1l*p}aqCsSQtalRt7GkI*Rvic&-#I{j@ML3ZNteyQ%L5R%iFAfMQh_-gbg{KW zgTW?Y%L`X}`cG_47o96#ij&n0=|yVw$bN$BZ=U1Ou7*PlGHE56LvFeB0(r832)x_5 zitYn8sX0v+7nWLVzUQhgpmWA$%aow%lE|}S%fT{JIcc@f&`^NHU|(LH7!dYG$V8;$ zijd(?WjBLeR}K=f;Y=YQ&o8p<-Zqrcy8gMx_Wcy*+IZlf+ELt$Bl0{UK$62W=tnHogBZ{)4?yXgQ-zn65Z5={C9uO^Zh6PS#U(?t#vExGk&>R0w+gTw zNlXzouvTjk1oQpV#JB_I&HCrJx1#zjEiJ<^0{(bWXI23(8=fa2{Tn0yWBRw}`$ZT% zhZRBq+JfS_b5Dq?2$(xFTf(kayW|nS6zDt}n{beDtSW^6PGV6R%_77zWg%~oOlmdS zW-#7+rS@9QwtBonw*-c+&{>B@L^XoV!SpE_A zsXdt{wJn7*Q)<#&?$cnV2G1(iu5_3q{Td<9r-~!+DkAh|p6%O1<9O+fqI-7gZqBF& zkRp*1=DGTwVbVSEXul*eVCrRIsS4;9uG4|5r7=^KTq@6#+e;hLO&38Tz$HW9Zt-y* zI#lP}hh#(yp{Wjo25CMQNLLR=n|NAP`RIjj{{r9qRSi^Uj|ZKw|ezSy(pf& zAk}f$*o8E_Ro248MUs&;q0&KE=P9OZ1IC|b7YZPv6-lTldT8M&fI88Q1X-J4#03%X zhvPa`;ncO%a;Wm>Bj^J}kpSw2l|l){pvPu2c`UMqMy*`eY=?S?w4&{h3RM7zQC}pL z)0YLNc^xmhSa_)DV=)RI)n@KO?I#mF3d)z4Dq_`k+h-U3!KU0JEF6A*lcWllYGsl& zFwXt7#6Stbc`y)Gehn(E!7S~!Yr-12i^GslMosI*B?WX(pcKW!Fs)zj+g=X{DoG>7 z3YRSX+GF!%ng@_Xd=Z)9BlW(2|7^|-O!$uq#>LFX(J=*mR~B!M;d}PmEnq){n2IW4 zxF&Z-h4jeiLgYp9C$0Fg@EM%(`-%+p^^IU-Ae9xcGCLI;@1GZsI@9_c&P7ryi`aHQ zd|}oQgQ@oKLv;v8xh$c!P0%%Z4ec1Fi}37PF<2z3{`4ot;yA&3?b@|rM2s#kx2Z6o z;&C||QBu+O@;cu6!iDhh8Q9LEi3@xG^8A0MxBPts8=T6-fH{G+h>l7#6*v}Ar^+J| z4=gMoCRnUB0&R&>^7!$#Siia4GOwsvv2f$7Zd7FGW!AcwLF@=gwcIOw>8ox^{?RV6 ztL)_Yyye2h$lvbzzE9tx3%P>p&IaUqwNCn`8}n$j=(tm*yOd6c{qdQb@5h6z)ITGa z=UW`|1d)P2+xj&a{rFz?AHA=SH-lT9ke)<|1P6-lS9vH8!)OY5_MW~~yceJX+G9couVv=Qf=Tx4EREB5cj~ z*iZpY#w?{U5^<@vK8?}xV4&r}n`zU3;MI6ni7)jdy_5hNyYlx|Ch5!Q3CugZ{a>P- z+3%v9D7G>nrK9pk!~k?*64L>uD8*&cb}$>uN5g2oyW*Mut%x;%ErtYmN&Jw;8Zyrz z;x2KxBL~>cs?g6D^bQbmVqV_BRq@l2$)9K0I$+(c!rZbJg;37iC^3jS$`F78qxI2z zMtm^O3QG^$uIsW!{@!(K);vK;9gFUg7>(qoJ~9h@nTE8t<74jMxRNcFjs?hsa9wgz zFm`meHU1<7Btlg|tu8B*XIQ-0uR4OVZkqtxNuhwVcRyw(jFCsPf1sA%O4?ybssK`e zL)*eBk=PR;`w^@~x^^31a=Y(%*2#s>O9!aEZiO{r2rW@MSXuk^igcKS)X*wV@(t2N zEPQD&&(FMlLKn8>PpiAO4WQeGxDCZN?b|&}o8J;OH3!%T;PT zw?4%UIJC`RRwnEJ>;_^2Afyb6{qNa$1PBHhfG7!97A)>WeOm#jL%a`YFr~s;_`IA@ z?-X}04gd97aQu-_3GZg|zzSc#7}z!mA;-vMY1xBDSA&0x<58#(NsnPcJ87sw!@vVX zNsveJ0`$%Nbuktwrk_ef3q$9*kN~ICXbk%&Xt!3Ki%+WS$uXPTBRc?pAj8taNtfm4 z_O{@B-MJtzhO0ow6b?F#rn@7g1H7P}ST_hy0~QeWl7B9VJb(iSs5JDu3F43hui%i| zUS2gsBK7fMr*&91sl)uBAv2Vbb7fh}1|n=s@|8pBM-O=_0WigC^>%Nem$^ zj#$&^MB8kZ{;IQ`j2fl?Iio6T#zV@YZ8J;jOIhHINW!nj~M=}juBlf(_!?Aqs%Ga971Oa z^9leNq!m#Oko7gf0@Lo#M!W^NY}M4rebS0i>(w36F2rW4hHk|$@+uH8l&ozTC{ z$zgau1d0}hlPpZQoEl%QqkqcFUQjy|6GCi!Mk;eaW2bLO20a<)h21YgGlRGBPJ)qQ zhUt$Z?I+cogznM(%fpm6o!Q_q0)GwX+yNSeC!PmqSnEtzVboq~(q*PRJ5krR@(0^4 zZty7B8Mu%xIqi`U-IP%es!z&C$EHdJi4+=gIn1~w(Pzm+x#ztyeop>Dj3asa@6BeX zt0AZE3W&E}-;H&X*LuxjsrGN0jWeP#Cy3}%c|>Jmzb^B2|C%|0;2gna>Y6Fm23iEOZFMjrjT2V>fj z#YkF`*S;>p3>vs{v-!*I)EL!x|K6-V@l^1QxCfy;NPdIx*#W0(HJ~P)H){V62-}3d zJ0kAi7~{Q@#Xii*K8CHIU#L}8_lxs5*YC$8EL`LDx)s6jmP!W*Wg8rp;Z+3D_J#Ve zp9i$r4n(g+HgZmeBV4%an3(i)nsC|$q0JC3s!&e~qNdB9ndoYpEb`;4!8O>a!16WZ zxPlyJY(kW3CK%BP(5`|w5dlPm9ALm@lWVBpr8(zhMRw{6W6z0nK|IeA0Txf0{5_7> zhU@nuOqL@{ike-QxLyR)ybeYM>n<^S#9!-KF-~IGM%>pEt$uoR>lX$Hbt#R_2v~&{ zjtql3grhVAN`d15a$~fAoMt>iXV@Pkj^07thmM!#ES`vnJ-EDw?MB)p%yB2<~!gn&1qrHuZ9+| zk{0M2iPZ{DLDQ%JG`bXRDO}M|7hX&)jk4J>(p};Fs_0U)<#qKN_!g`Zg*Ne#j{-PQAjgtmHZ8 zqI@I=AXI@QXh3s5X$FSmLF~IKaq0>H3*1_jzB~zB-$9?w3PP&!z7G8rjZNu#6$A>IXc-*MuxB0&~LG~C)0B)+Y^ss3cy0AUNo;Q0{t^)Q8 zeeAqMF+}q^N~;I(qWAvK9H^p(M&o$%y`Y|cO`U$dA*N6!(gG`ptEtR#B5j zUGP5grd&d)P~3tp0U1lT6Z`GfrEJS^Ixnq=(JeXuH-~;S-J3L(52j-rZur{he86c2 z$+U1};DAKZ*jqNJ)8uvgwg4#2x$=UsS+N`yixEp!!WVzm8U|~~A?#G*1MzPbX6u$gwK)n5T5aW&O8i zX1~4 z^dkq*FVHJG{5SQ=;Pqn12c7g?qZ{+JVWROpyMaU|Le%u7B`j~SDitFtGnzf)NVgPm zcB0FZ1;U*+x&vWleFT~fX+t+V^XciJPTQIPkm38KE4uR`z*vPah}v{2M+?34LxXCg z^Pnt(C-Hz)Bb^Nw^Ot_-s6jI=Nq^Xs?*|(}hZ8RvIR*g-P?e6>ejs`!L_&raggL~Y z!y1Eov`Mq%zJ2>NGb|(EERF|igdHa;rB1btn169h7U{v%Ou2a9wzobSB*u*!H|Qrp zkYlz$3pM;_%pJLHp+Arg=8X_eu*Sw>`ZBZIQ4FF^?u4nHTVVm32#}Rztj&zTQryb4 z?ofPUWhxXf0Ra+@Je)uDkJ2l(Y~uD7VMTB!0GejAmO2xTmuKmSd42%mJN!yz1ONbx z5<-zEcaX->7`hz*l!Zn2tFi)pB*xo`c^%SkCoJfGb?BI~@nJK9E=)p8b{)yXl*4)b z7d7c1kaFXv{rCM6NC-Y`zyj~M?$GbJa984-`6sWnL^1s(VM2+`n#=$(B;znK%p6WN zL6VL@RT^X7l+%_>CmP%bUU4<=N7+dlUTV#tvjJZ^N`DWxfC9WQBV zi`ULj^f(&@7Igyd_eg|*b`CY1*+b4>A_}p`D%J!~7RQrBQ>U@Z5F5R7>D)N2l$q3q zuJl>d6-h#j@h|W()mW|(fjOh)0}!6)4S1J$JPOSLk_|D z7$TwfT^QNFhFC=)EuEy1hVs7&62gKZysIV~l(13J22l?0`%_|Tz?lLLg~143#869q zh!*=J7yvY&l_7GR`@3e8e^vMaJT+hT5RJ4qMLc~~@Suq_sYX;Zb^~0OUT^>8bBtv+uctTI%9Lx>BYQ;y8)aX~d_sfsR_e_9i zL=lm*W}vl*G_w(X0r-|Up`hY&Qppi@)>SHM#El8Td893Z{(bT9J{AtJR*6k^CzB@r z@8lqgxJ@P-Jm6j`wj?PNZykqd*M-7F6%g(K?<)H@znomQhZc~72nBCJ z!Wa6Bcp@tv_1Ur!R1emPjWhw0rg6M&ye>=spCtx+c05S}yg4_sY}Klt^wr>QnQxg+ zIH{Fe4sHVp0$b`uc+}UOCiw%P!C<|eZVe;o9Kk}}biO=HfWNu}E>3ZE3C#G| z_>Ye3>K*7x0@WEK|Eg`I)MgzKq^^`Irq=^?Lh<1P$%zIR;?#mjBp>oSL>gj_k`RNBBQOZAJodAz2 z4To^iaV=_~`weD@+X4$NB-GbfN^zTmd?mFAq||@OTT;C2#9>YH1L~tlVw?c`L7M0Q ze8~wVShF$M>E!TKG|i2y>AAIZo5kmz7tUT79eGy=5MDQL->yV=Z4^2S$^xq9FZpBj zStb};nOIo9(Jh>hZ#xKT&rg4O_C$vR>UFI)%-kf_LMXITHF zw5Ru6DQq{=5o0Tekt=8wQ(n0(ENTI8@e~ksV`d%WnUF()=!<&ELaiC&YwR|kgIp*xR9lONmDK_waC(-?n9#z+%C*5}ZVE%|$g@B*YgkVXzHQ2*_d zP%?o7V1)B7X>(A)F3!ZsYgmysIQ8i_II{nMyvL0jOq2D11JX2T0Kb#Y7;G6Df}C2n z70OXg;%)p#TZ7_Zj&m@7L8RQNfm;RbIOFjmsu0{4R=O9z0kPQuzuYKD2Bbnq_pcb^ zLjny6p$wWpVybx+Ip4x(m-k=Z-s?c^$bz(s*mdfm{6!5M`bMM%_%n!&khBP5RJ+XG zCIf&2+dd8dVsyOOy+$&)xywXhZS)thiGhK_nsg}>iCy+ULwIaLrZk`~jWkqlMK3sE zuOPe<#)9;5spn^L`CeVXKJfj5mlCTfqKxWRVx5tF# zMiEXO{6N}HHh6^MJPsGoSra&IY8f}`8c6$Kykl@e4R9k&hH3WkyvOuhhJBzls$L-6 zH~?2b=rfr8a3=1bKvdC))kLqvQM^?+ScV86ceV&8DgUai`|UO3Dmu6aLUy+faJ3|o zupXPP7~z^H}}~*mO=s29*egTa9y$yW+DKuyiQc zYUgcxXsR5bFCHZxvC5F+yHdJwb2cjRWe6B429NICv4b3;MaV)ThU1(V9Ikadv4$Q) zbH1WHZ@$4Sowe1qo%DDD$mu874v})jOKe2_ias$Qo$i6Smo*;O5dol(h^0jwJ%mTq z`WG4It9pwkk#JxrYERNm+};q1e$S_61LPzluS2MTFV=#Hkf!}2;u3##jT}ucE!W_BjFE+1OtUKcfCZbs6+BbUvAI}WO`7n>Do6l zfJJ)#-b$OfnxoSy8ahKxyTiYXS>Q=m<|swNFJA_VR$GBW2YXlm2OAu@|wyp_2Zvlce`RChxVU!|LWdETNGqlH0u%b zC2UgItT(P-Cks9XF0bYJ{i>Ub-jK6VVFs%XT&bm;X9b6SNy`&)^BRg-@^oV}oR4gP z&s8x@;)#R&(ZEW(!I@9u7m#knp;cQ{Q5%??_Q zol5FdG&pO;4eCTj>*DaZvcxN0gHZ{sFJZYu2MNw;)QHLd-6Z%-SCUNJ5^kkq zireay(3Z+D*Om%;keC9|Ows!3G|DQV5g*7{Fsp@59-iRG)*{DK0tPDq5{YVV9Z^gu zJxQu%V3@h~s`sS5D%QqZS=HCh_231=LoZdCc~?1?uDhEk_wP18xT_$3MgMTwI9*FH zBv>;ljTE|YHMMiV3Ur1g66Z{UM5cu!oIo$oB+B3T4BQLoT+;YDd^%VZ%$x6To??BV zaqF@E=5vXEbjjKFHJY+W3>NcC`s%^Xk>UP{7{Sfz4-yg6c^3bNxaaz({_fY>_YbXi zGlH55rVxp%64Gp6{K&#^2z^#_44tO!Z`M4uE&@a7#ylj(1RR+>4Sys-$}g*)?kC6} z@a%D!8*y4_%s`|T)MEwpOze1v%28r$0>8%FWP+oO8Uk(WV%7M5qtqiT(5is&GucE= zt03hl&VN%tVjNbjn_u|fm^V+u2mg(EQ;eR=2*?Uuc^0YbpgOa6gRAlLMqf zvwZr(_D9(fay|h$j;tz9qauvs`IRR?Y2=hzDgEEcFh_Dd0il3U;P#|Cx7phJ|LWS^ zMu80tu=v5*4Vj%WvBdxA6U&i6DfBHdKr>HA#P}i7jkDyI*j9ZoMP#g4tL6V81{jo(RcyAp%P0v^~|gJI10ca)|AYQJLRm=kq~k)Dttil zko<_NTnt-+ocCjmDkKJX!#dzdS_$NX(~m09iL!7{jj5D2!K?IQ7+L+ZHoMShE{Zk2 z5&nmeE(g}ER#gCL(A+FJJFiob-u>)iW9*s#!IpSwi105>t9UfZoH?b-wM6S7#V=&e zWS9{d!S*+f{oyb-%nm1nlasefOH1!O1D0UyUWA1(nl&&YkX3EuiWa3FyTxrzH;b5s zrX0EOaMyCv-2o-w66QW!i#}X3e4=fer18jKS=Eow$MT=nZh{RFG5e*7Lfr1-NXCVd zbCyGUB5ci-8ktM z{t?600s56Ba3!+N-g1WgKh1r4G}dds{zD_02qjWUn=&M%NT|#TiJ}ZqDuqxAnKud{ zb5tZr=Ge*@k|sm)2$2k#i3pj(x$Z~p;XUiT?>TGz{`j@lUfbe%zQa9y?$2;t*9Wu$ zBIgNE8>tL#KVC#3vIBp@pG-b55AflIx zWQ8VN=FZCKufB6wvi#S4tyGaEDb=3qfO78%g^4gzIL#T;a|2i(H z&kd!AAi=M}H0OG7ceFS%kzvj9u{E4!lm5w$@|D7+&z5BuhwoCZgjieg#H*~-^vU!bH$5AQI zMG$#5X(e!yk<*lrHWaEYjS7>~`-6~63upI~Se{_zbES1szO6Mg{sbq4P)A5$+MKz8uS<(7zjsEh=Y!f{b1Xkri9I zH6Z>)*n6mqkpc>lc?xn~mqJ2mA_?p1m9be$RcS8Ipcb^|ediR(L-8MoTO&+l$RY1y z2#EEmhsmf963z@9loau;OYs>B|2_nZD_5@E4u6lNU#VYXLxI8w$LcFTGY5VXGh7}H zyk0e&%`}7zDw5AKfY~5An-_sbv7fRb*P+O^JhqC!Du;)oh06zzOr7ZfoO(MvS49Eh zf8FI8R;8smXtu;6GXwB)a*_8y+Mg#o78{fRJyA_JL-u*X|FAj=FYx5j8|BC!U1tTX zv-MHuBF-Ybmzy!PE5P}K3ghXt?F5WQX_@s|D-8K~aq>Dwg-uIBv4x=uOUg-*H2X5D zNW0OGW9h{mBw3C_IIF4@sod_It|;93j%u76xejF(g$jbh0l{IEsItXSPyJ!``o;z# zsN58fR9I%TL*bV(;Q|(?CX%C ztPh_{VWBEIar7?=va1#fZ~G4%z|s@F-mFANv;k4|yAsEYENBzhkALYpB>vOXg|Gxf z=ajE~JR(t7#7JrSJ8`wh^jWNxB$y~vOPV*n-t|{%wBARUHWYHL|5sYBbVC;lrF352 zr|GX|KeNLrm|%V*T&VQvwMRY}47{}UmEC_Ohh0}8Nf~nGACy&K9eALfd}dd@`9hML zEMme1ggO5%I1!@u-}u#L=@j8}$?K7kYFUec>2N=%oG&iYd6n%Xo+01Yiedd-HdYqj zV#W;2ViRP5R=oShCxvB`*>TN( z$H-pbBpiqZPE>Qi93T({P)d=iO9V25NRX|8H-|N*-!kzZwL0nnc_({fJp!aK*kwfU znVb$j*RH*ThfJFFkiCwqMJ^nxOw`UmjjWSy{;BA}|K&d^dX!iHdVzu>vG7s`Ta+a- zIRu+Qr-Jsr4v}>vVxidKJ@8SZxglY!LM6yVs@m3^nsmtU5FA+0duZ0t>TO`F5W(~f z`@GHov`O;Y*BC8Q7Zuo6tDpYvDF_2dp ze)kMvQ*DwIpt(EwF;U*(2{T^5Qr*hTBk~ zZL95;`K5WROji{TJkAC!A^e&!D#M z?X&q?R6ND``zOl_Q)y`vYP(isJ5KLzKR?F$P3fNk8DIE{O_{Y09oi0M2qJSEgcc)f zpF(doqu%)|gcvNjIlT^^aY|*Px6ktrf^Y-U*yG9x@qmovYb|d%H}mc3m#zJBt^Wka ztO7VjP#)M;MSm_cnbR1B15bguL5?--m}H$D=RBE+s;%Gfj23)37-!f`jC*! zdra)b|BQRXceFoQ#Gi1XOSrUkd^%t!6eIcrq~a=?2R63{{6qUhwLt^;nJ}eY4B-nt z00KBCjqCGl?ZT*a(=F6Q_{_wb)G76&_ton3!pP<&t$;dmp3 ze(PBVwgBqad)y!$52(gj?sbI5Hc6wg?LZk4l+Hna6c5(=9H<4nTI?k3Cu#k%3d%R6 zH`p9Zm860pgQg%a&+1@^QqNDWnou5WnTq5U9SHzgevw002+uYnp-56z&-F9gfb^?{ z3GA(MmxNxI%U|2G85`(G@%Rd_U+$?lEA z<8T}ZtXipyh!hcdu?a$){2!1awLN}P!aL?d)q|&!riRJcz+V8FnkdN&FD=e37a+n$ z2z@|p(I&na&>1)`5>bC9jYddagqWCKTYdF8+&x1GF5nsfO`Qx39EoM?djF_5C(rTm z+JmjV+4>*My$AxWz~kr9IG$~auM~9qf`~oaL=@uzkfzm#`gyxw4uLLoO zlpj<+x~z8AN8&E}weS=)m;6;5`R?$SA7xb!g%7!H|InZKQ}u+E_2dySO$E!&;O5!4 z;gsB+KNofDvBZ+%2@4)kP{3Tg`ji;)i&`?|NLLc;wH3H+cH<*9TFCUDpZPzCd}J^d zSOUI#`cmFh^WZN*GdTL14&=oc|Ktw*L(b)HBUHoWHZP{t!+-8>1PUuS9x&|t2!$8& zygxtlcPhl)_v!yz>5*Sg{e*|kRrFLAv=(h62gUPapWybQMrG+ zUj@IQCtV2~+o>rkyb&Ksy>I>+JpB0TWBA$io9hB6{0jB|Z8i)P=Th64byuH5i?8Q- zEq=-BZ{_W3LYOShMk>Qp9SJwN@VwUn6{oU=MuPv!=!^>$Z=(02dFrBWEFDLUeSdtI z^HYEQg(lKM{q$EPY8RcwK9O@V)5yd}2-_F#>3ps_quif9=B&=UGqQ)w=_qn$WGp2^ zo6i)6Zhmszou1-ajD@&f&S1@VMn;FGnU2|sP);fKcdcn6_ zOXcjfb*--dS_(Hz>TWfQYn@l$FnZtlK?Xf##rWdz!D9=iGZ^$Or5XI^eEzJ2yFU#L ztKMu}wer*5p6`PvBT5-5axEM6i_aTOmOY3s;%u6Q&rcbbx99N2UnI$< zQ1dx@(N`e{8(4aUaO)1?Pi_82%5Ky{)M*g|wvjI(u= zyHyVq4gbC9%AoB^x{wPq9f0Pf*!XxqSNk!3{eKIo9NCOy9HT5)5&9 zM$?k=aA$QlmX~xCx2sk?SBdB4FmeVFK~4WCDw*A2T(3(4m7xxzFC+>py#uwda5v~ra{R2LJtLwS|F(`seI>Ne zH6y%PTQ7<6%J;m7b*gJ@)F$;4;t!c`oxV*!9if99(MJ8rh<~U6dag1QY4-K^Ka9j1 zL8=pXpLBpDR2Q6aOjRx$agf-hMT#q&8GTt(|Wn?9o=*+%`o?z~%3;2om?0#QI7EH>sA>BK3X$&R zmUZbBLQ0a6&AhWPqd2kQB(C8lJJtA+GcJ0^- zjR$WXCU3{{(TNuh_P-g9*<|pVUoe@4i39vN40RxC4K>o12rXhvWAEK7Zv*Ovh4cws zkW$)fk@_*1HFKxtLB^xZb+&my#e0+ZDx)1HulL4v_^fFaRHq2>JFa54DQnxS*u=e5 zxFY4Woy01+gNwtRd4+}FN~c1JF2)qOpIcw;DX#g+`=dwY_q5iO8phx$*IeJdxyvv2 z8!PAgn`-CY z-)KE?r)zWFh|aJX=GD6T`ABj33#qFjZqnhQ5-j$jl=Xn`2aQup;6QA7E(dae-mgud+hoCK>x^js$2h(~`C9!v}Y z6`|t?5t@QsM@@A*;YcCjtb^R8<0pA?F_B-#{=fQtG_TXKveoJgplO6L0JPj)B1nxP zM-W&8s33h;RKTAN&;#5)NemOx}{>u z`?T=Z3x5GgBEL>~8Q&DB4to!5#mHBe*<)x5F;U0QtY%pQ7lIVlznOqp_0++`9yXcBYF|F*gh0f2&kWEx`SbcmWc-^ z(Q1Wsc1m;h?@-ViLHoR^@-~7f2jW#Y(-HBlkCR^+(ZGHxsukf&CL|9NlKc_Uzv#u6 z22K{%u^GT#Lmd_#8i4KFs7BdD0kx?+io~ZB@YF|XzeYaY_T`Hg9h--dNsO?t1A$EKM^4D) zxKBsaH~a9aJnYM`tgZN zmQDGR%{IU%i5I>lAevvV7+n2kx_v1T7n|5lWRr*UQON7gN1BlK?21ZCyU_O6M@M!n z7|0%3$vbf_vgvm#P0jy7yqf|TiV*KMsX(ZSU{ce2jR43Xa^)%xAnyRN5D{Mv3x+PX zC;r&I>}srTUABJ6B_ox>*-c5P!V*<^&)UzVl>_uvN&RCuEug7rcZWe-jRwnDunu9N z(Qx%^Kn{cKUxQ;Afw|zdgL$36^+nBnczjKxMs28qtV*NCVJN(55XE$wdTcJTufrh; zxCfD$QqcnI3nYUh$>*$O^^UMl^M=kK)t0{>e80vY3n4g@2YKXgLUk~!!;7AwZt81G z+C3@w^tW zKtBb(o?bUga)U&qjsPG(Ug9GX`Ph1dYs5AioPAvzJU!AKY#&ruUdng&D=PsnQ|&nS{MY(Eq<0kdf8vKG41;u2lj~H1d1xkvFrFHM zhT_)h?APXcTvEM&Y5$-kn~j-sN; zHW}YCC9`QQ+QUwi@r@m--wBl$l!Q(>-_CpO$(J2n>K{smShWl)Sp+AU^Ykzh;Jcw} z^n!b7oAZ|4O<&??&wYK{b}w;K*44#TPJGF#6^r-n*Wb5dpQpIhkrhnZJnNVh>~lI4 z?>)$=Ry$bgv}2RL*8FEe3@7aO&pTMMHe7UR)_l_{I_A}#V~b=5#8!%wt1?E98HGn& zsLT<2wRQaIn4nyL$;#j|hs5k`-JKHR;vvTlPdfDsv!)mYI$hsV%74_w>0W;U{mf-P zH6^7*K(G#ujD*-X*VM3~QOjlk%zWM5>Ay7Qti%Fxg;Gng#SMqmht4m18T_4%mGw9r zv|)Ja|ugxlc6_4tMuOIf<>d=~a2-3R09AZ`F7NO$Pap$`oWTl818saz4S*C5aI zYU%q!RJDP=?(Ww@0=pTEs`92w-*5fo#besXX)(q|@wj>wcu0C^;v|gtK5)Nt=T7;j zB%f`w+Pmg%f9a{+5Ir3oT`~Rs&dyF{p#vrDyLNPeh$S+Q&VFI>MLt#ETY`JdGk1cIwIgUByztD zzGRjdO?esoB=dYTH%>^eJ9pNCW)}d z9Dl!S;Hl$;mZe@#g}d1)b4clXRQcG(oD>;VMMx%{PxYfdB% z7)x*N0vKrU`*-%vB@wr7oj`aBcA+2Db{p-=_m{j3o&=iCA2266{%9q=^vk9PR%<*~ zt8v!yk{T*$&xi^#T$ul0scu~J4l%K6yJ>i5D+f$A=NV}@-R&>X3QHW8QrUeyA=i88 z{!JJTW3U~IdxO~2x|1Rw;pz8PPu~~BJMg1%obRgpEwb#ISm#QtCxy$v=Lj+_qa6QQoLT2jFS&8zd=fB4PwibbVqgd zWv<^O+4K8!uVBO%z6|bsQBrceG-PvewLf~Dn1FhCwqK*vjw)?2va(G@47f)(U_CdY z!STyhKWg)_7fqqtjit@Jo=hb?`Rx71baxG=)0oE=XI^6l9PoLX1(y#Z!OoUwgl+Ks z`*(^fAZBl-uev}Fp!Gvl)xns_zLgeZI*N)5fthxN4`__Ru_-%cYRcfU8t2JkCnqP* zhV`S{9yBev&Q}2#;Y-wS(d>_rVs+udJ_vR-c+YE7`6IJN1Ao?iV$Oleo)?fEZJ08f zGF3hop8+Mj!4iwHLl!T{mMtwVribha9i`;O3!PmYJB5Un0+q6WV(gf8ud%U_5)zOi z3zS8uDONTbLCnAFc*0=jUc&y5P8}^R>-RUPD=XjFl`4ZyRN1#WTU%qSIPY^@PpDhh zrg8xcx&YL(7dHo{rEMkJ^63h4t2H8HDx6I)NF$$xpxRUuCLkaXY+r~OV9a`ErxpF@ z*hwI*MCk~2LtJ+~BSSP|YLG+cr9ihnLr9)N4aalaFOB z!&;n28K0OKQa`ahv;GLGsqEj^uJo4I%{;?gVqzUwRk>b*#A=P+s!OsphoyUzvkzZ*Dgi$n@xem5iNX1@va&ZLB3j}4e0XBP z$t~l!m@*ERZySa-;sOj;YggAI3~hTNcRHBcTrdUn6jW7Nky4X~itml+=m2C>cs6XH zqd@y^5f{WaVk$2830QpB!LmiRZNq!x)2A2VHV{r^#G=_}ZZ3$koY7mJ9;Xm&Yw%^R z(Dl>P8j<1*ZfmiMKi`g7ZbGCC!xPaOM$B`+bE2P}gW8>~ zu1$_e+C0Cn5^RM76A{GOYDx~Ps`v9nvhYZoWL>8~p)6qJ>f<3zy$dX7Zb zgxZ6J4PTPLg@fbdT!cW;y02D9KgVVP^c6x&BO)Uq(HP>AJ*zM`fliB-ajo!2zth&X zw%B*}P=P5zt&Y|5>d^hDhHf&65WQWD8|h|SZGdhe4h*+z*RH8{m|Iw+TYi%A>>5%z zA)TP{aax;`W~9VKMTKtZZzwl9sx-xa^da zG{(YHK5#(c(j|$J(NW_QC+1zgd>M4x*;d6|#&?&D-~giED8-oISnH20IT z#eQLL+K>OQf66@5TI>nb^lm~%KW8xmuWRwLWnQ;#adL5S9Y245Ifeu%e0tP=YgKQZ zH;X&W!*j0=or4#G9TRx__VvQq8BR$_$#->iN&u%Ao0)mTr@03N^%)2$r5GH7vrk6} z3ky@;zd!l$rKF(9NJd%N!Zl?*Sd#DFt$6wJB|eCK+vf!``e#VyRCjN;v$x;C%PZe6 z<$Z1D0H`fY%b+u!WPy;311I)gGqZ&9K6E^M1~l{vHa1Tv`8=m4;c{+wRSl8rvh_JP?y825*or^RyG|D5lGlB0mTU=8xgXUJ6y1Lhji}yk| za5X@2AM)+R5C8`NBC%IVsjIm_9&cQX-gPThuO?5?n9U5$CJJq*BL@P{he)Ci0SniL zbjb>D`I|CMQV>#xh#9Bf8GB-DW2X#Ska6ZG> zXWI?&kTr(wDzBuparf@E7`mh^h6m~C+rUrM?YP3?Js-MuuS-k!nwapweLAS6<&L0Y zuORzIxCvotVb{7xhe3&G0qa)*wB8itH(xF_ug_Q@H*xJIz~&JLH@$uPw)=g;N(5aV z_wMl!>x;v%PIro|uZM4glzH*+xi@r|trnr+%-aW(mM9n<7UqS_c?&4B*_Xd^7mR;q z;sUVAP{x~VHw3BY1b0Bk$q_F1PUjyxDa6Mi>mCw7+Gn${eX?!)!c@Chn4d1g-n@F_ z#tPm|o9HMbBO~kCeb2@9gBuo`naL_8C8e8p$s)9x&C${E5t8VQ1x}nuCGl_B;tms_ z*wE!JBQLLg8musOSXX)qq`R3>aY&I!pHERzQUXLtZG7XE9_pr6*+tshVL*YEEh z?bSOhxnOs;Us^ghKBA52*R&3AhioERaY804lUr8 zwp%~!fCCii&cMh>A9N!G7KZ!DlP95XQ`S$v&qz*Qg3KO2Kfh~41V@welto;c+QGT` z1Ho>kKO~$M;so%Vc}SKy7HjY^MP3$Thg@| zy{V{p0e>%%E5mVi#tAB6>#!wWfOYr?jXAeO>&iNguK?qr2xiRG&}Fojjku`L4LN~w z*W$&C<*;;~-oC6RUwSOxZrep$9Zs%Ez;{hxO<-$acVFRB?;y4(ey(;2EHMnN{Kbpn z@K&yEJMppwCP{Qhk@M{IWlBe^3aGMfp#GVlXmribPr=z)#`RlsB`o!G1lVWu>EaoG z3nzOlCpVWdsRfS0@`8ebn-Ugl^!4@Imj$M54&)aQ*e54Pfri9l%9#(3Hs~7|5JR_m z%^IE^J62)lSF(_91(5XR*h%n^vpsMSihy(Rh*3ud&)wIT35eFf@bIh1t+l{su$%cI zNk4Di(6N5Z^QDpOe4gIQR!iqSot>zS`T*%F0@V-2t%OLd~WlFk+9gvaZVW zJVTw(v-KS|%)6?pXF$_$JoF0b&uxH}ZO}VUz0Uxt6ejqpko{Qg6Qj%mn=)@PNTH9wC~2Mc zsghDuRLs8E!vcaZubBHH{^(UMAimvy@W2EqJ{XMKrFF;H=7zDpp}_=D)j@uCoCgBB<&kvr2oeAo+qUMmQM z<0u}nS#|-QHID2gI>XT$7#Nh_*|o~q*;#bfJ_5WTsQW$wj1%>U<4ERXfYNGOZ{xtY zcKtf5^CfHRgePBc%v3?CM$j;SHHJxP&mKDHvAE$)1>V=X}Ju(h@aCk;qHC%^0p259Y$k$MBTUHVQa8M z1@$uKgLFU+R&qiS^9tjan*J8qpw@A;Uq}^ApYIAhX$#78?9QoX5Bp`oE?Qd|ExU-a zKU!ujjB(1h)N$-45g;Qe9kU4^3Y_w^`X6qDSnMfhP3##2F#=<^VThNdQN z9K5S6rOeU!yY>mo`g@Z~4mVv819XJh+S;=D<0k>GBgsOB=iATEBh`faUA%>zhXb`g{<64#q}?<^iREc!7ZF6^!~d#L(K2S&KvXgusi0eN(cs z5&{0pv#3bU5!EK0+6gEWJb&|sf#}D%v?o!K#07Yfkuv!C1(Ro5UUv3sG)Q5V`Mt2P zu<_f>%*=;eTLI#Vb8`A(AReTP=FbHsW_ntkQSiZ0o7Sbyr!R+y< z1bW+a^rk)w^T9juv9Z5{die~e5WGBPRn@&P>TpPoBqYO*?{PDvvBJ_}&ni^X{C+3RjN`OvzN64$9A_|V0otFo=fMxcC{}F@#7_-JSCMG6y zk!3CJ;M`#;D9sS|s;SAaLsEsLsIBy?T|COm%dN0ZBkJHSdbXBR5}(?yPr-MKYqtO! zdfY}u{wR)>B&t0d(9K7Zwk?C@AxVP-7LbNIRm&PzPmvmH68e9b>$p z{Ad`CWORmf$3CP`pf=`*HC$3sve>%?!K}#1*Edx6?f3QdCGn}eq9P+xxwZoQ^|%}d z>g8CSn1PA8NJ2ZwKM@^dbUQAfLi8IKC&c-kW@L{X&<@LO-pqW^cFXt8!otE{xEHSa z0G;JOX1&6apnLygik9tk217foEuyUp5dHFZ8+h|)G4J@7a>gukB)8qv$Tod%sV~pMfPz)C|H$QA0 zf-M()W2&ina?VVQAa%j`3Yi0WWB|3gW)V3STVvim+kA}G<$wV#g~KZj8HrP#A8_o{eCR~V={QnBt5&Uwu-Jd?nmFW4mLupX{xJiB z7&n}-oem@X!bSzx(NUoM){f<1$+PjYFkHNNaRpjq_B`lB#i^yeeLjWwIN{-|;8$Febi$iA?=d!xQB6uH7=Y8x`{R`W zI@p|g`%aeB)O0y&5uER=tgb%9KMZzVnK|3A2CAO$Q$6H)_8dOUjx{enxcS<(#8anF zUxhs|uBpQVoj^%#93^29hz=qk-Y3W&i-ogz=~4yw#R4@kNlCs)8XFI`JfoDJ4*~Ig z323b)9t5L2o*NMpq3xY>I6#X<`(36-SCIrO{DKJMR4P)Wz!8Wb z;A`F71~1U`un%d0V&w?w5K`a`?S(CQi5ws^3k%QiB&zSBxr9{CWDy@9e*)T?I;j+d z^~O-i+S4g*%l_8h0Hik(>&Q)LcHo0$=qA*P;!*MCwAk2QmvmC}mY1uM^Z3a6-)aj^%(PV3L} z39Z>;EgDhiW?8O( zhD}pjn>YW|$&()FHnbRyf;`YNnwpxfaAR695~3ds_TQ3NigbHuf`%Y_8#F3H?a$VN zc8+F03?Q8rA?+F%62dE8^S-WbRgm6}9XpaiB6?8ZlXIuWVw#zQ!y877Q3b5c{NEvy z8w2MDDZ>|_lK{1`A>?ay{BrocTK#)he8VYLjQZff=tB}C>uM6h9|Diay>%@e9Xgx$ zkiZBDH*cK8^Y~|-;r&*D%8PR{6oObgTBlHX<0<&@O)WwSQd2192$U-%ewZDBa*iAl zZup%QYL+p}aGc94C?sTVr!XIM(i*co$HL64(o>tl>CYwU{xdVdZ`6I)Wb30uM5M=O zeoP>+JswAl2U3#@uXFBL1}zqP3ds@U2uRSb#T3COTfO}(D`hc5plJTnr&Wj|h>vY= zZ;$9E=TT|1ELv%Bk>+lj(;W|qpLs_?d0tUda|Oyy@a5fsX@Rp{7E)bP^8y}_2;6Q} zTQbPVj~2nmVvVdtnuurHw)E1I4bPs@!EG=#QIWq-p~V?pddH5PK*BcLd0Gl82i{nt z8==B|GZu;A6PahK=;3phxYEsQ`TSX{qcn{TL@YmSmgCq+*o7sq^d$O%JzBxe&W;v` z8yi1;szOBB-QC@S9s3GW=HBJy`}GSPIZ*#lHJC+ES%qbQ6Z$iVT`ypw{Nba*7exys zdPwJOz##Nh+?GRj)cjK}8P|<7{>(`493>*&?3}O`XZVvnPmm@&DaV aQ?jcB+I?QTKmJ5eSSkwY@~L}|yZ;v#284$I literal 0 HcmV?d00001 From 175d352029209f93ded181cbbf660e0eaa2c3c90 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 10:53:53 +0300 Subject: [PATCH 35/98] Update student.ipynb --- student.ipynb | 79 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 79 insertions(+) diff --git a/student.ipynb b/student.ipynb index eb155999..a50e12a5 100644 --- a/student.ipynb +++ b/student.ipynb @@ -2316,6 +2316,85 @@ " save_path=\"histogram.png\"\n", ")\n" ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean: 518066.6351415769\n", + "Median: 447000.0\n", + "Standard Deviation: 301071.6722828131\n" + ] + } + ], + "source": [ + "def print_stats(df, column): \n", + " print(\"Mean: \", df[column].mean())\n", + " print(\"Median: \", df[column].median())\n", + " print(\"Standard Deviation:\", df[column].std())\n", + " \n", + "print_stats(df, \"price\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It appears to follow a log-normal distribution. The majority of houses in this sample cluster around the median value of $447,000. However, the presence of higher-end homes is pushing the mean up to over $518,066." + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "def plot_histogram(df, column, title, xlabel, ylabel, save_path=None):\n", + " # Extract the relevant data\n", + " data = df[column]\n", + " mean = data.mean()\n", + " # Set up plot\n", + " fig, ax = plt.subplots(figsize=(10,7))\n", + " # Plot histogram\n", + " ax.hist(data, bins=\"auto\")\n", + " # Plot vertical line\n", + " ax.axvline(mean, color=\"black\")\n", + " # Customize title and axes labels\n", + " ax.set_title(title)\n", + " ax.set_xlabel(xlabel)\n", + " ax.set_ylabel(ylabel)\n", + " # Save plot as PNG if save_path is provided\n", + " if save_path:\n", + " plt.savefig(save_path, bbox_inches='tight')\n", + " plt.show()\n", + "\n", + "plot_histogram(\n", + " df,\n", + " \"grade\",\n", + " \"Distribution of Home Grade\",\n", + " \"Home Grade\",\n", + " \"Number of Houses\",\n", + " save_path=\"grade_histogram.png\"\n", + ")\n" + ] } ], "metadata": { From e8920aaedd4e37fb44ab57aba8022880616312ff Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 10:53:57 +0300 Subject: [PATCH 36/98] Create grade_histogram.png --- grade_histogram.png | Bin 0 -> 35314 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 grade_histogram.png diff --git a/grade_histogram.png b/grade_histogram.png new file mode 100644 index 0000000000000000000000000000000000000000..29e62e678998e35e176586e57d4c35e589f34cbd GIT binary patch literal 35314 zcmeFabySt>+Bb^2)U_;ZMF|5CFc1(Cq!bY*p>#>8pa>Gu9VSZ@&`GICNk}6iT`m<+ zQjw5W=~ko>IKO+MZpZtLvCn?b`My8S8Sff<4c+j}XFksz*LD5ky4OvG6H+UeZCOS~ zN4Jt9eN2gtZqXe&x`n}iF2PS!qi&qQAA;7B8rI6@=dJC|Se~PkKVyB##N67%=q}Nb+}x(WF4$*oX~@l=k`|Af{B=oM(~6Fc{tWqdL5$dA zBRaa9dX!^FRO}!2H{02-@0gvNt26WTTfJ7R`^5s4)jTRkjx1gu`S;&dk++sESn!Tz z>66PEtGcBmSDXC(=f*#-UtKHkD_ta5rz z`SA%=adCH6qc>Ex?5+?e&&a{P#Y>hL_thpo;4}1=m@yDzZY%P7Kk>EA%VyI)ZH2Ci zU^a?r!?SmFdTs-6^F5X19y@-#vkPDU$!}ierbsxX9Q*;-gRb*j2+e2 zcLOtXQmgB9`GpMq;#C8U87Em>C&HQSKVGJCv50dXasT6sk8;HEm0pa3PoLYKN;i2I zpPV088pyqS$Bv_w!ryKO?9<_5VF_h4H7tLi+P&SGEf(|I`~LAsN}yu9woztcypV1G zy%b@WsS$0Dg%KlyHobmJR&I&R%sfP)CMPF{I1LJp_SK!tXtI<|YV2>xJ2jO1&D)#l zaP+HJ$3(`Ptd^}kF!n^vd0 zJK(_rKe9MpOXWF^j?|tqXV9Db@{(R~kZF<3x}fs&dz>5{15UGXa4p}s=WUi%7b`_n zRCMb5w@OtEigIJX-cxFLl%x{>-Mc74mp;0CGYWowrnSJ&b;X&*?hA!S-b!Ro59W+c z4;Ad@=U2tJ)h*}FJzZB+wkHAm=`Fq3_pq?AZNY+8$Lo@Gd^0jKjO&sT$#Q&tSd6w^ImFZ zdc4wZV{H?on5(v)%c#HYP)i~<;OpXIDZ3Vj$ILDxiZ(+nIva1X)eS7;J8U{OWmxgh zXhlkSi&Q|MuH%~+F{e|hsZWZq=L$VHG^Cpb%}(`k7ruHG<2*SWr<0T3kYS#@V9}EH z>819yuDx~1$t$-W+ZMPC9!SJro_nja~Z#Tblq{RKXw(9Q2Ph=WX-=*&o}y)1utdmcpEOEm2&p_ z*g)fBOd6+%h>mKU$~zsq<|rvJXUVrFK%XLHdz~t z=z#Tqgsk&e<;UxpnD%mWbJxVHpQIQ5;=W`R_H~82)#9oALPC=8 zt#KHWEeB2RajC``Oil0g9$%b!f6cZ9&#&p`IrfaVx&^W>Uc9*D&pV4JKY6em&@WmM z6&>A>=Q=rj4lzR$la!M`@p-uy(_ytrk@1HwM~hy)x= zIbHL-(Ey!+HEY&*{{8n`#E#J#bv+WThrfNZ${hUs1%bT}J4xBv`dM?|yLazAy}fHg z-DYFC3%)D075mi1C`K&n=SB?FFZQm{bDKFg?x>-0uQo|19=p-_x%&dgnbEp$D+JGL zV^Wl(<#-la+ICfj)=hrv+OTfdA_6nUMrmnjar}I9msw1x+uU?3$*o8d%X4{Mu*wlNt0sb1Gcd$r z1vbi`*of?hU~D`$J0qBWQeIxw**SNgc4ioMP&c_hW;movuCCaJr7pEnG#)ctpErxS z?0bJwtj0%dHU|HGs2RV|_rK~{f-Tx#uPH1nj6HgNS#)}Hj$N{@(*VDI z_i4OyO|FBLYK+1W%w9vPq0fmB;n-)-4wMHUR_DK1Tixa(wvQ5bDkF*gWJtn?4;n60 zJ&&pVhIh;Rxat!$Q!SZ{r(f^%xi=T>FZijXCC}+xYQ0K^nU2k1lja64mA7~ivX`)| zdhu9qv0Ky57A|veaM%#%#+Pk3lyux{OAqRV8th5q+}dYG%9JW>-gDW>s_|+@$V5d> zifP8GHoespJdFz0kL_R+*7pfc1QSeo{yv@TNTc`B9rb!=&prxq=wt{MaZ)40-5u^h z9;C3S$oN}ldC`*>WSx3#6{vMzu*j@?^EFKP+pr_q_Fo^dzG-gOVG^=d@MV`bNYSvy zPz^L?DH|CXEnBussWsmv&3V#NHA%bv&~e{gCj(gb>SU`RbyFkXMM#x4HlCtZ=Q@1b z8dt9Qxvh==?5jVSL>yJ9qW%KD}7XZ`SmoIz7~R_~sf7UALK0 zMxWIw^(IrOQbs1bLS?C-cEZIw#UI?4v_-ucrcqQa;`Lhzd`OkuVkz9H?Q**4`WA0tX-xDGKR;;)suDe zEC=|6g|(GB72YD@GMtg4&KArK&As29ocrkcb8$-5BgtE4hr|(2ZymQ!P)`o&tPBm+ zk1kuc>qK`}SBSE-^xtHcQ+(Nt-aV3}^6pYKLgtAqdwzGrHbkSKuKlglv7)W!n?I!> zAwD>4mxRP=RL6ecfXX^{xwj;mc6VR!ViD6_uwa41jTjV+G1^&{Q{53h{Ws#Upmbk) z(5qj%^n{m}_kd}`0nJ3U@(28-6Pjhl<9PS2V)0_L6Z+nC4qrb@$_ERn#>U1z)k?&Q z@Vv2#i7S58?fnVz?zkud^I}7GG)nEdX1mrzlxpjz4$XWmW+}2%bGM34uqwu~PtKo; zL+**e66wS4=JlT5r00C*T5--`w(Rmv`&6)?tVTu)H|cfH%?{16o(l;K+^3_21u@W2 zc8}-fgorhnmaFulPo}?^p&ov4z=)b|-Wp=wTsV_YC&0)4ZUNmoVG)sm*$Y_+!9Au( zNvxb!_L^puq0cn-kWlV59e{Oexgt4x4U5ajT_L-{1XBH;2o{QF)}aOsHs|zp1nO0M zy)$`uFjL}NSEay>FEgm@t_$reG@boES>*45_|okq(DG!tk5Z=-kHPEJ@(&KYu^+&? zR?*VZ3Ylqf>`Qzg;*_pq@5h_G_C(OZ@_P^4QN=G?zI?ZJ^I^NeYScD(ISG_ms!2YY znJCNwgm$!XT|!BA<;s<1c?Db7tX>@kIFhF@*CD`AgYfq3eEAj%)x*O>6q}mylOhek zNZ#7Wp#J$}uuv3YW5=n!NQ!U&iwM@NtgN2-2y&s$-FFWqh_>!&q)c8Lo}#rbQdt8qzLa9Bj%GJnm}m z+GbV$9T^Q)V}XgFYMs_reV0UtE}|P zr$Pk)-raLUbTf*{#1vtalFqxvF{<7-Rxq4( z&O2M^d3309!}pQ*CyPWpMV!XUc*13Ekuz+^S9Xny1nyQp;W9l|Zqp2;cxK!NdDzOd ztEVUSlzE;i6@`_VosR)VcFk$P&GbgsLr_};d5hFiMcz#Dh9M3`_rC1ruCFUDE^bV0%ymdj5kC9s zZ$_30gRdha)%SSxhnu7<3b>z_dv8ymJFPS(wqqF|gA9^(n$dgqsK<{a+N?|oZCUcnmq(fcBEPNr?4eOZmi!OJ3 zO&pf^W(o1}!RDa0IMskFAyM~Sc!Rc1N*r*qAE=6wy*!X((-#dSdyHxse5sfL#Z?@3 z&L-oaO3~>(#eeW?nzcJsWLHjLp{Xb-DJ7k01NN-6vcEX?1zA(DCRtCca>gICqH*HH ziGu+?jDn8<+bBv`m#kEYmb>rVH#Rb&f~B^BkujmY-Czd6`}%`!uIXdqRLk3IGg~@J z14jpQh92}DE?BdCa>f-yb3o+oNfi~pW)F+HR`vV*20GNQM^tqIA~~?QHpQf_AD>>> z)c@xlj9IPAA*$sH^|DHAiw($F_-f!3L`BgmDHfMVfU>^)=|N?WRZJw_Z0dRTRnkVU zaa8@BrLRl3Mr|ZdQYR*`=;{5To+(?+ahHzhu=v9It7W5ZUpBGs-CKUoq3Y$!ops^y zbx16CfwBA^Jc#@I??0m=BM;3u_;_vM=NehvV_q z<=V4nPu&}90>=$m>J63mc6S}l2uHM8-LS_EOaHQZYm(j9&xJ=9`}ZX;)OA~2skv-= zx&v8G$g1=9(W6I6dJYzK(L!~~H|Sd?k6hZErT5lDR99D*+_gE&H!8Dr)5r5t?tjp& z`~3NHzbF&;g%}N6yCw?{l<<*(dam{NY!phqM;IgeYUMemH8nTapcYxlB&0$x&CAh^ z>>oRKB|8NU8~dtn<1ngEw!AkP!uqDJu1=$3Xqv0r__%GB4%3^HV^UuBsO=^aggN<| zR8Ul^Cu#Fcz2-iY^{Br!qkg;;3;oY2hde!pm6vlv?zcVMDpfi6!b~sU*#S#MGmu*^ zz;E(UV829ka$VSwMZt$GcGMA0>50?63$A6~U2ppM)O{|zwPE$@J3~wN1CGg@JX!hG z5oO_5$Lq^B$azhD867R>7vK16{*R8mVKU3=2sm0<(ls=cj1r2AgF~9sBFH6X<8rB} zbq5;KWC1%#sW;jgWG*yP_I&HiqKV@M^pf7%JzOT4*^1|VE{=&AGdXZG-krI(KKe$# zy3n_5Ej6usGx_Dtl@+cmsiAy{T4_p;PXsSZoAFv9V&3p9mS<59;HF}C_$z@&VXfSc zPlnbO%*_lju4Bu}$%#i6${t8>tWMD6YX*SPdTMYJEQDudQtpi}0k5!r%gFjYS}PZ) z)G1=UxcQ>rR%})P-L2zQWWEVqM5;R^*Dd2pByFMO^LHE{)L9>On05L|bFRUhwP-=S zObWk*NH%Wk>gIU4fJ&xfk_%H-zddHv-9 zIAh#fa%OBiJ~F?nzl(xpVQ$~q_QL+lKTEynvJiXZ@AF2z68&<5t66s3TFM=>gHujk9~^yKB!nib&=MtOyo&E3ZE3nIjM9eH{Aw4A`*+`CSO97xI} zOkX9#Ssl%>zoJMrbb1=tuFYbjT725`o1qWcrX8p=leZ^t-n_{ezKE6&x*a|RoL@&k79O>Sgt^hH842OFN)@{Y>nmpfm=CwkL`Ow+IMCZt zauK(0)BQ!aSfju-@2kg6RLz7)c;Cp3Vn0I4rS%9XX< z4>!sIIX7(TJM)eS>+0#Lz?l-oF|qYlRuf-7IoBPwTtNUqn@=6?vvKonK3?8un3c9Z z>O=9J)8FU?%$hV#PxqV3^u1!KuZ(!%S_!7X@aFZ-&hntGJ_CYov(A^#upt!z4J(5l zs*aM~q0r6yt{hVQ)$ej9@wGoxK7qzD_7PCv^wiM zH>Vn&d|cbP2NWK!=zfh1vtZD0RKrGajBP1wN^e{%k!R{KB__@y;0c^7Yfx_yFd+j7 z4qyIDP|GJ z&84?CajU7Qs3gr87#LhYQRy)FII;!dSknCucWv^snW<4QWT6&5tr*QDfXYpAp-ATO zfC5xrj|(Rr9H6A6qzE=hN=o*SQu%grvfG%>SkDwUfM~+@VZxfDSPE?$MJ>~PeUt9~ ze0;IBHv?rTZ(LX30dow7?v%HyZU2XG0GZh5LQh$)_U-E0-&SuJ%FjMo51In2JD_cL zcThP2l?@`h&4Im7xUD$u3MS87n{wOBs|E#^6;p}ha65%mI}>*vVH%Wp`Hf`J(eRrqSmY3?-Jux5x*I!Jm+sb$TwnaW87C!*XYnzRgfJH7N z@1$%S&*`x3PT)OPa^asVi;H%iBV3{gfD55ezXcx|LFRVsi3+UFu`>@AcBry%zFSOp z&h2~ojg?#blcdj6uQDs?{Q=;0~0ij*}gMRw80g zca!L&`E}ibk1V@@N`XYct2;Vo1H5n8vLy}z1(&dJlLio-h|5^LVNu@k>tBIxFLb{R zN3tREL`{~Jp-uk>MdXrzoSdAB5Rr>^Hcvr92r|DK=;&Z$VPTP!lG+VmhSEzFt6vpt z-%1AF$hZ9WRdHLwPyiIwVQtmqyEr*GI`)DW!6OD*R4M_?@|%2k!q_Nqu~u%c*0Z;l z7cKP*2#ChAAP}{VFq?$AMpa5!|Hv|rf0FeIL@TwP&M8g<%y3~-gLqLuJhoa9TwZRP z(HxCOW1xSimu_-D-K72z@=ome@&}$bZ@#MtK0Gjc#}&+!_F3Kt0OCHvD1#QoJH;0> zJIR3}cpGfj!g;Ik5mKfyw&#JQk06nCz-ODqhFl&c5HLl**t)lx6U);GjEZq%dLqcJ zj!&P$LDLxF^@}znEZe|!0bAp`V}d7N6Oe>$S3MTodK7$kgg#ITHHfQekSf5PRDX!Z zxHx!RpjxTIiFyfkL4WM314e9_!c4 z5k>uiLEH~8JbR-Le2YhCMQ}XPBS40q6dCm+91y+ui1E$r*S(sA z86!35GDHr%T6KgJy-iP*By!+;Qi+0s>qb>PJUpy)pZDBwu8gJ<34S}o7fuxa_19l1 zIWPQJkf%X~^+g5hW`DYW=v10<6d7C0jvBZ;5Q1sQ)Y^^dpmV_a9!XNqB@_dyX*udM z)5e2Hd-9mVOUCZ~)v>VqyJtx@UU~hi`SbK}8b7rh-@ZO8OR4{nGKxs0vvhT6>(;y8pni8%x?_0%T;6h^VQ4z`G;Vq0c zHX{H+UX3cewW$w7iXEufQQ}{dZF3RgLfG>!on2jz@c_nPMzoNhNEl>eX9qquHhv%N z72?>-*=$p%v-rd#FyIU>-^vAOv>2w43sNJ#w5VozYBsPMR>H-};f{uUmmI=kq0T{! zi39#boViMt8cmPTGmJ-RMPx$=pps%UBfbEJF=UtQ-7AmeOf(l}r+%I`9v*>3&?E@+ z+W_WREm13qL`i6S;D|_yC#49Hiy)X1$#X zCH9_5SHU`{0eQTmIXNgOh`iV6P^%uPXYu5t;J165vaGN={0q+|Qg`tme_Q|wM#M)DqbiA7{AuQ`x)5Hf6Ej-k2m$fDL8jMbff@V8 zQx+mw3`Blch|8)iwjqC`3q%Shf8IO#AO87Sw`y^iLA}Yra|T~H6x7eBY1#WIa6IIT zIt9>n^k{`FwYNHUcYMuc=%{5y*pows3K|djk}8eUUY|`_|G}GXl0NY6nfLy?|6DS%s<)Op|FUZYwzBO$kHR6&jppIpe2*qlp4ur_(BD+>hYkD)spLlf>&RBe#pth zrOL%Eka1-ZtAqx80CaTG(3k%|^=D?FH6D2V()gMk@ik}1wT|DAXJANQ8}}!jdzA-j z?aUs{#Ep{^e!f9LGtYxYMpj5l?OMBI0p0$aKYy8(r8(M?F>SM5_ykp@G5HGnN@LFW z8Zv{=Sr@X>ePn4nYX9(rN0Fa3rrS?T?$IJLK>M%b^Z)bbzs8{u77`8_Bwn!4_gyDD zHlZ?8LVO(_8&iXhGV(#+Cl(37(#opTY8omVwi?I&{R&V+6;MpasU^mNdbj{(&lu(D zW&TVV7BajF)n*Uq9FW7km_@W8Ij1F(dV7X!BKI8C-e8oP)uj#G@dLFyc$ zK?1fbff`5E{g_QQ0K08-W24DI#PWB4nnIPUdwzM5YLv_d#2Pth{0dMN32_1*9vr=* zpz+VI(lqmQ+Ey^xxpk-TSZ|Figv>OeTEhU)dvjNa0$enMsK_bgs~}Ha$e2MOeg^*w zMJZI&<=LfAM@8TTfSf?SFAe4#6fp|a1LiHlh^(AaE0e00k~cb3D!*o12H1-|;DT!g zdmphPyc-XkNSDaq4=M*5KE3v}w~!`(%Gp zR%*(3l7%%wp;n_(shr5hk|`PnReQU`akRH1Clr<1=28H7>#X_7yl>{Isj+kwV@!FF zz;2WV&^o}hD;K!VsGxkfe(l-?P-Q}v?SHcxVT!ZoW~aSOQ%@cv7}t3m9u+U`467gO z0=J@bfR;``hgRmLa5AF+P!}pgL~KpT0!7}62Mn-HE`IfDb14>IrJWe^HD3Uho^}#F z8N*A_K|91{?n{XK(7Y(GwCki$1q0A!qdKYqgVi?b=eJ%z3(Cpl;Lho({zieA?-M7LqiMp?M3svW5t$R3z7Tm7_j$nIYxp`2rGa z=Vs`z&jel|pVSG=?GE8^XlXeooBf9$??b-MtcH}~k?*Zflg%d=N=2>TpniDOC6|YM z9D6G62T8=z-+?^r`04s4>wyOT$*Cz)EfQ5YB_CzQgZ*c&3}$sPL&;V`UAF~<&_RIwTKN^-p6?LTvo2C{ghxOO|YTskTe* z-sw%usX4Hx9k}pzn+yC0MAILoyNrrlIAm~l@-V6qPuewZS?wr(`~|*-%xjNEd^gp zWrg3W)P64r+}45Ae~HW!ZI%ICMXS4a#83yHzsMO7HPnGkQQ0Cx^rlVn?n2tz_nJ*wzvnOi&f606H=c@-Oi7k&u^nqezO1xPFHABgu;i$e^d5oDdj4Z?i zgqr!y`P5i!4#dHLrslcv#PRNT5*V&(5S!0z2egO62}BAH52r?c zZ7U}HsbKG~$h#-K|6~+*A<0BgFZnCOL#Zk-4gh*IZq9$81Kf4ohdB{-YiHKXe2P$M z)0I>oh}e(mx9*TR`p-(m9Zk)N!=rnX(=e05ONXB9R302xJRuBO#8U;ueAb;PSO?h2fDvNCOUV>hP zHNJ)m?4QH8&K@KXZx>pr;ePg$g8K@XEA8zw_iVfcCkKIEv1eZ1phm*|Fartoc;iX2 z85Q%~uQ$LgKL*bsTe2byY1!M4_7EKGs}{dT2_;J{3FJ-&RiTCD>|gVszJstepy)LB zY=q}S10*+ZI`UgQNhCl>;QwFVrLA4M!dKyR4*ef^a3vvP0Cd3{FMYX`#d&{m`t0m1 zH4+r7kP^)t9d_@~`fbVDSvx3kV4u8gAnWi3G=f^wcL5@1dvnj3_Ff+w7?<7Ae9Hdz zjU~KpP%yNqkRln{jP-3{Lg1~X)%@C_5(}OJd=o5H@gXnYs_O(E3{L^^^*F+wV7ds* zoUDXQ`~77x45jB&jZljg<=yV->6wB|;B_$guw6w;v*(80*54;AH1`B(C!e4_u(nUm z&aGk~JMl&Sp!}-~+}sG3_Mm5}g`UE8Zq-Sb_PbKI$B=NUNVy1}r7aEY(&67;xDjX@ z!=ZrHrwmz?_5JqX?!l;qZNxiK&(U==S#&b!NbEbP|?!(XZZ=j~mf zZ7dP|555DCDiK7UPBH}(a{J2%JXPLgXOQ>c{IZl|%wEWOZk6)PklS4RU+dVr5mHg= z`xX=wz-s6hF#s!KGQ0ePZj`-m!D_&Kp*8RR@f!9XNhBLTR{a1~&Top$ znoz9PuUWI5q6NWb6^m$sdH&>aFd>qPw5fXjhB1GsC1^~N9M>=savgrMeNs8FaDxwi zHz5Qbf|#r#=D%b8I**0zt!{IP-1!qnH{O!OowTy8WAnccmufFEz;YagW2O(j4^`wu zHp)_Z=4wzEjGVNQQjo(61r-K~E*m>fbgFyjH+ti0ygo{Fo(Vah{%}wkUIG>)@n>0K*BIKJ8betC}5$+~}KvevKtdLcVhwkVrG1=MKH9K?#_crHb zOpWwJpeT;wuw6+$#=$PRc3V_gmmu8NI`CwwW2*P*=Ei`Jg|&k?3lY?F!@DHs1BJxh z#jpFDnwnG|pJ0MVsFY|PaR+LQ?2Utyr zKeTy8A_+yr$%%j{Wk;)b5#^V@MoR<-Albnnd3*-!Ie+b5&8Nqp-tW&(g5S;A*_o9B z5}F7x{&((tyg++Q_p=`r+?!w^$8c?=%%os&F(|noL7sq)@TZK1=@?u+Iwaxqz2&+7h(@Nq=*4vQ}D&M#aEvF;QuL z1cIu_o4;+N;cyRTDl58TdPs#pfDzGAU|0(D6Kpev`NwMv22cVRh=~?agQ5h()vw6V z#8jUNEUfk9^yP|BvE+{*PlI^b+K0$QC}Of4?FUG64c5Qcmk&Ungb%;F*76XHuY_WT z%^Y>GY{~1_3dr=;;Sx(>M$_guu6}LR_d&~xtX6qZqf-f7clnn9sL z!aOVdQi%$>hLu7jEI&?VOOw8~wg?8k^U|bSDb3&wmC^Jk#tk^T@=nDi6q>}-t<>pX zh;pr?-nRYqT_U=NxK0^CW09c}Bh^T^B1H){s*bic-@bHW=Rs}EMuCL=9Tx)dBFb6^>=nsMx(c!Q& zY+`?~S*Y$Md2Yq+TriC6S7bRB@58{rfIOoD;^X`G@58ws?TAH1mJqy#o7Km{Q;3)4 zN>Ka=twyM5|FS3Hdhpfavnd};+b+yc9jGBXbCUZj@08^S|GF#Ui)+B!CRlUWcJ12D%d3Q9R1I!btgq_C zQvzhatvZ>o4w??9)#v-b=SJ9!MHe+;;Z8#z9BDlx-4SGL^>x%<`>A}Cv-_{a89Qnt zBqrT%Q`j&bVJHb}7N-z?g(tq-OGf&&^BpShoXYYu)6!Jt47#txaOaTWFtzpT zr8Is28M~)BIW;{65vloZ^z;Hb`giZ1**(Is^E=-cC!&~GSy|ZsdGQQM-o$M^HQM(W z(JdYfCFz1R%Pc@(rzqhWfWBb5Hz$&6(GJbjzzP(@>o2_?{7>4sI2u=-)OkdV1kW21YA zM!LW-o_SXqFXvsCpjO-^_`JNd#?|)Y)FDH&RfWvk*m{z329*GGh#w!WUBpN*Pe?z( zI`(B1Fk%zUm~`jN7V5C=%OlA;Iqa4FbC!C$1O@9gDq1R3r!v$@k-a*DAD;8ikE61Xy;C5+jeq8`g^_*?JFZ^2LVCMAroIjj^9JMq#+o-G z*cc%_P$RLHXwMhg&klUr*m$^dAT@-Eld@sA+5vEDK3n|*is+xl%bu+K=yEjtQpLS4 zJde{}BcqDsy?s8{mw&PlV%nmgQBmW)QhRyVQgEo9oeF0c-A%n=bX-zWu=*r+hF1sX zsH^edbbmB5n*YBe@zyTCgTAZ4Nay5d_brfDKwld2mdlU*W%zWg@!ykqcj+dHZvnA@ z6y>O2C0tOygVhT^z^z$%+b+t@oo+9|5RvaB#fdw+%*w(z|QHkR4V{)Ka~B_bx#z?C3H>rf6?CxNV!bQs?c* z1St72ynqwK=F7(;rcIfO=v_(AN#-quAKkjMjDeQl2mZz71EwS0ZJc<0^ZPTi<_3G_ zHZLH$_aGh!wLrRSi3eZI&DGne5~OnicAPAg*>&O!^zCvD0XXBCgzXi6P=s(P%~lS6 z-Hck2Fov|Cg#M@sMUS6B<}*TDT+{(QuWqiJLKhcA2QCT;c&N;MBbNNk z^_u}N2K2hB#mR6mw@Fn2mz#F zBbmq~8Ug?nM4&<_fPrV)GLPN@t~`(l1{Ek}a?NZm)en^@VVJ(2YN*d2sp7HAq{`s^$ zA*r*)X{ZJcI46llxaLV$CqR7Grm%)ppz3-gixamSQR#RMS2OV%{7vi(UgVDIeAwGx|F<%6O1o8&nmaV~V={nKWObkP0K@rXiA4)_PF+y_<`n<9~X)4cC z6vg4&6R@8ANn?c({CZh8iu*7$vZ&j9bDYlG>VT;Ey|9K>hb>O56<7fVjyZVTSi~^^ zOVaE6+m%S4N>uBvV7rZujR~eNUcUTQT{DJUuTg}XnN4S&X!yfpp#i>G(*wv zUnKqo9xGpH5%!oKfm`D2TyMK0hyO#D0O{L`Gr$Da3rwP{l{%OIz7ITsR>@~s%n)M(}D z`Ji2)Li23lWtEpb(byy8I1-~gMGmK+TOWM1dC`3rHB~8)e>(&9?- z&u;%~Qsg=g9o$&h^?PP)#b9RJDzJ^PT1)Oce*03)e)4>pU!q8oj-3M47a(9n-(Xb+uHipDaNz#4WK=&`+`Z_OV_;oipwLm4)? zU=$tSKkLaeDGbXkehrY-R6lQ&(S8_9hX!mp!#dg)yJS)Jf=1E&zjjp=Hp@kjE`L;) z%JFK6Dmk{MhIO<+aOp_&!gg4Rl2G*!T@s!IUS0YXEBsiAhsyYE*k$EqvN?U(zCs#n*Nj$~M=>ac_X>$c_C;8Jo1K#R+G^H#3spd4UJ6nHkjASdo+FBCMc z=5TOw0&`qH6WB3Tw|ttWls_N6pS@5MuQh|lV`SfaSl5#vBb_ra=mt%l8|hh+-y1ozT~6sRT0t) zNpBRo;`SzLq#OmBDeBYo>6Sim0v>2TVlV?cOUw{&$q^BRXDl3?54+F745PCi(n1f& zWCzjrU#IHS6Ewo%#=3yo@Y;L;WCLO%jfJxqj&G$ zKy7c~Rv_M4G=27=hwm-8Lp_gzc^2gx%4D~>89OMRCqTF0n20He8N`*wI6#yNlxKaQ zObE}#5B8k2!$Z{Avj4PrQX_d)I_+B$m6y?A8I>YzH>jlIyXVBg;M|(5|WL z0=EUr9DYV*4YznuQQ{Ogb z=NPuQ-skt*K)!+|WFXZBu)=@y^lf8^kc|u#u1vPyKHCn@FdLXGyedq4FGg(PUnibd zJQaGmdVk9T{k4fftUY-32Zt;kL5x_|#17~VwJH~ME-M9UEGQN7wcZF~Mkx!wAr#6GmuR(#e1?0;LcJQ~IHwqDAK6rzthYHP|MP|GBz! z_r856pz9Ko_Xrrjc+j*Y8sl@Mu^uBq_$YW>eNiTn#6em=vD%bggzvsXwFWKF6J(yR zh=Daot;he+Y7&m-Dq`Xla-MiXS`xr9>AL_vj+P6w#$b&}ex)(DL?ct*mfB?7Xi7>M z*Y97Y$btaDsRTQ_&Q^F9`Ar*CNCrV;jf;fOEO~o6zlS^ix}(%-#k6$A<}kS1Ip8bC zpw5eI%CHxxrkvtQgb>2PLWMnlX$A`ci#3#E0oFKTmoSPIo^b;QSu-Sf#>GXXk%b8ctV_;z{2DwwP6$XsO_m&MNsw-w1V#7)ERs z#4%kSD%RS;{{E(ymn!OVs3_q?t|1yph$*^L)?+!KxJ5(PQJBO?%O@Tz977j_-Me_O za^3{t{-{&IeUEbV?Tvdh!tgRis5E+83ktRfm?c0~qpb@Bo~GvIEs{W1Oq@IQAkjpl z$9I{@CTOd$Yr`-6VQ}<+#-9-2hj{aiDW5D=E>@Zct6cRyQ}d zm5hfJa1lAThK+*Cjp)YO>GSrHjUGwj-blVNy&RTkI#EFE1iFjFhTqAr1Vzwh(F{7Vvad*}qL>!m$VfJSw zZ49_YRyx!Uf0X0NP&!FnZ~IUAPg{!Rg+JqWdwP0S;arRDG-EjIzJtzB!TqF!URE~lBRQ#&2Vgx54yf@S=Lb_v7*S?C;)AE z?rIP$N*@o_??S6i>iK+A(vI0@`_nV0480G84G}Sk(u!J~^;|`faf$}8_1R~Q*!+YX zUA%l_H>AtJf&w?ieqHK%oO^^ro=z!szOBLf3u@TM&R(Rk5ABNirltP74fhlm7H0jl zv_SzuFA+IO2L62Ye4ln{X=w#?CL)S~xaD`Axa0z*AJwXV1e-Kf7wzD%B@-Rgadxsx z-aJs`V*sJ9((CICTL~M3!)FAVr8|Re1O?R$&WRr(49tIFt`gN`L;AD_eo-x;tPar- z6l|7vSV?CD?EZ>GF(hXL+2Sy)2SPS+iae)#ZzyzKg>U)5M4x0@Wfhqhlm6_EDsj7z;Qnee}zhx5)K1k596Y zBW3`^lyT|{njlB2l}|QbT1mWZNXV=dtVn`Pm!-LkeF}ptQ99mIhUKm==tSfA3=BT3 z-x}0SSZM))_}siwu7d|DJv|I;I;&(BRNQYm#}wF<*^nY5ExkV=Syx_R&58qW0zEu} za&s-`KGqPfXi)*pY8`bo!%kCK{U+10JE$h9to}H;iF9a$e0rC^-yB||Qy8Krgknay zv~|@T1d!z1VNW1Y($}M$nxxA;y(kHzL z4+Jz{R#nudpk=@hrQIGqbLI?=;VHFp!(Tu#|Jo7067%lQY8>%#)cjO|s|#f;)n{XE zxP-^;4uKZ?i05OF!0Hez*(g8GcY}X_r~V9f`L|#O#E@4SX3*49`hQX52NucJzT(#O z8RWQ~Fg>x1?~@nb1V}I6+Wy82?$&hlaZq_fU!p7DG_Y@8Q$fnngzcWfd*k}XB6R+p zuPgSt2QwJlUU!GwU}rtpK+F+EeW>9A!Dl^98Y5iR*RNl*2BDC+6s<;f%4taaW$MIg zgXhc#xs7zYp>%lPNPLl`4B>IQNZATbft6E8NDDGhrG+FvJNt3`4H{TbKZ+QgU*UJ5 z0UWuk6mljCWX0HN20QqV0SdP2jnn8i&tu4PL|>;=VH@#-{UVP=gi&mz5frD0Z_2-X zYWo`J;o&U_-|hqG>mu+Pki!Oo!zc`I(5wkQxqT4oD9)&Oh~kz$Q71omv zwDX55!(qH?sWhk6(Lf?c!$0(F;i5&P{U39&8&g7LE7X7RG9)58#oGoa9~Uw{xK1mHzf>wlqNclc?HZx)NE-1aB(O*5f@;?QpSOZ zq`5~Y&ry};jK(1n-NclD!&C--lf_pcrGmG(_(w4z$k7643<@@B0K8p15pPMAs-#2> zahr7@iU?wYO(YG$fr>#g#k=`Ge7FZ-7CxdrXe||d(9wWb(_kSY%Z`@bum~!CGlyik zOxseF@S6M%!v@NY8j#NM3J5=o4w86%KD7tURli@C z@Kyt@T8J<(&{IfR{Tn6r6ozwZB*NSV$3}2*6yl+1`wfsdLpdct$)-;Y?Yw%?8Mj~* zf$i;FiUv`leg`?qCq<&*IO2eO4sn!s!wx9*2@q;dpxz{hB9R3A>w4wN%fMykA$?du znvmM%!5CFRG>#>Zg~WKmz2N*wX)4Z3upVp@B>FX`0=+lt@gO$0(G;x`UM*mtuSN1g&Yl$V9mO`;0A zh~f?p4{D6-RC)s9)njZ4q^0$$UbOpff^$O~w0w#%xC;RA6R0m%ZJK`*5hO7f@W9)~ zU|kZ6^N98pK2|ycnn;CGd(Sz(RPx%uOQ<#NZ?lG_xYso z8!ADU=q17NpbIn7>P?DlX(Lew*zz6ga}*Yc_H1AW!76_8i|2)KBNog~U8LN9sQ|}Q zBI!XP$8NyRan^W(i(C^nf|$*W#uD6~b|MG2ZrLRj@|(JnLyI5J*PlZUMp9=qEio)W;3J9;9+;P3wjr>Twhpe5a1{B4b zAB-U88~&K}s!Zh9bep=~?x9gA?ry8*Z}NP-$Bietx%Mg2o&@IJ9hrxs%wWnv*)fJl z*35Hit48Nm=O!8?4x<+WV^q#J2{>TcO;PwPeA3MJ+gu{+gdc{;(#iu=b$E)HV$1} zDRd6x_%+K3LE2B;KP&E7Fbsn(5&ck4_aZ;8WuslY>`i#F{rckwKZG>FtEiHMkA8vM zT}Nn-Mf0;_##aqA!CQuqWf4Q$R^nf=0vk-yx3;AJXsN|Hz}>$^VT6?Eo^+rrJgh26 zETTP%e0{YJHG+)+jf;0b3r?Y(!J9k?^6y!nue3+<+xK5N>gd7CP4IFl-?{*O`Zv~` zk>~6+yw3l^nlrsmeIhhm25Q{B>N)yWjML`c3Zr@C_KMk63+dh%xSJqX-RuDKf$65ic?>?kYUYXkT1$o5Pv?_hf%=eX8imqN@S zm~hqjO4JY>Xe$JQXqmPx*mtd%Lj56TpG(sMGZS`n#hE-s98pt?z6St+^OU)q-VeYo z#9T%S9-8kiTIWxn_dRd#QTHvP)21pfYA0WX=|@>p^rtttg*s4GP z(J^e;5CvZj@eEUE?P|WF3%?rmV^;5<e6CDSo;Pp@g-=#txeFhRc8XOLC3A5 zEGkVKnakupbakh>#Bbn`MsgptPpn}~REsBmD4dEx;?Ie_G;=sjX$TQ<;t~~YF?($c zcV7pZ*}zyfecC|^BaivI_)uUhG2ib3kBHa))YSq5b>Me zEBF8riGL{;KNoT>bsz2V6oh`J;Gciq3%Q)i_7NS8G(_T{02Cx}BpQ+< zjGEhQnxxebOufJq^X=BESi1N5p-ey zlm;5RK>)K+2-8E{y#)9|^xSgjQW()8KZPxt zd2A^q*8S9Ac+sHU?4qFO^&L#zdnwEQ`s*D|z5=?W(8_Pj_^nTJYw`~j|D#-#>)K#a zDQ(Vt`W;)X$P%EQ_08s4E^;bUsonI?4oMXRLY=sI`Y>9_ZE;lsR(KzrgVe}IvmANE zk3iO(n-|a^f8U&?-q5W4Uxu#{pFi*5gaXpf<&_M{*=WzNj>n8pSLqzq|egKFK1fpv(+`FH|6EV<8EQw z9`a?C4%vf?DVaT7-`w0g()vyam zo7?n^Bx_5TrkH03T<_@UI65vFS~uK*vjKvFREJ!0^ftZV8}dpTP(R|kBn`@X+xIsf zc%E~~YlhBul(0hv0ii+&BaL&HMe~FN;&{R_vYZ}$B}|!2WeiMFef`UidKew zbxY~AX}NB5@G38!D+uf2idnG>4d9LiX?sySoJjWYof&VcNWuZnJM|~wD3}~$S-bY^ z9s!dNZ+{ZM*+vW7k-mu+of9WdPzkWxtDCCLwN-XhaBmuysiueZ3$Xy5O4`{gJ_*C*v0qINuXlo*xLLc$nT?n@-_^( zZnNK5V7Zs2hS-1pD{rjf;$qQdJ9D;6+>oZipTh4lWqr=zLu=F4b?YK+|y%_dtT>{+VT z-ltl7ZIcl{{9rE*_oVAW$;qKQv2+XFM`PmsbuK}2biJhK=y>B%#JWj=Wda)(vbrl> zbqiZSmjt}?y1YDYJij>^-d1X4gX@L^Mhdbx<7C$5g*?tA39J6da)Hi$ch0X_{HXGW z^d^5O;3(tppK0kunI|JBrvf`!%_GU>wJd05SP+dpBbER~T~6_xgs zwIWgmCuyM#l~zlegtV%mEQxZIWNA@p-?R!NsT4I@H7PB$sDuzI>HXYi=9y>Scb?~Z zujjqqbNPo$%Q?T_@BZHR=l(4Hw&?TYQF)mx5&seJ2c_!4nQkml!TdJEdBR>Y>1Xk zplxqq!HvMsqK5{Yucsunio>v85qZL!qjzaZYDn>67=-MydhJDGt;jSH@u zDy0^{=-0Nj{r<)J6R@+s)&fjG74D#RHaKbzv+s=||GGUBF9CYVZpGaoZ!9Z`<&m<} zU0`YKsnuT29{%Tdos@0i?o9eCseZ5#YO(8tcOgHg9{u2p#kS8MXu zPArshI9Wb8HNIxgkLyySfCAlk#frETy^!gCH1}~*sS;#3vR#jL#U3s8Pwe@M^%*>5 z)d}`36c(3NH|RZOn%MQ*yi@h=(c#n1Z~d;e)+={sMzDdN(b(kp)rK0!3ufvD=W8Zk z$@{7#sK)TD9i)v*jLa0Df^H zvuX!}r`Oi83zT6aXBe)5Uno{>qXk>_^p;;zKo^vE1=oQgF_WV{s1eQ#=5uDwd{XGb z?pE~E*kJ7~UJ1+1X!t^U$c3Tx&mC5SBVG9bMLaq$spAO0^_PxA%pM)bbt@72=JfTr zPaAsqnrr7E`8QA@(=?vc@o$!fxf?FLn~P&>{YwMg$$O0AwZclfILAlPTr`V z+$UgR*JezvqO{V+ppGwqGZC$_!DS9S(ZY$8HD6Cy;MOgsorr|wvVs56Ow4AD{ z5hXBzSb_U$S0SZekW&tMQ0_i9nut1=2r(a__ggM0b{#aD)FR#Ed+u%X0T09bPq-@w zX6Q6~1GBz?P0fDTN3{==yTO=_>s&2}iQ`Q%Cl7ZFt|5_2rUbFUj(zJ7l)o|R*aD|9pEeCW|GS!C^~GY z9AQrHst<6i3Sb^)2&_c14j30HAizsoa$D45FG*5oOpMqy)he&q(+`r9>z$#M%zCg; zV6l_`Qu#+^dyFgbn6tCSWJSWKEwXNNzbI*!v8>dj_y9y{xS4hJxr% z#~EBj$uY;qm>^Gvfu4t*ZaEFiw=eB%+| z=a(kdgDLQ>LoV=R^0QN4y7ZR$fOZvu-%YuD4G2?WHNx^n@>37?1OI}6bkGXGN!-5R zjc0DxeRKf9tHK=wu#e7rk)_h%_l3#Ay7Ln@pR3JPgN5N>Com7VDVPd6tmRnly#PET zZNX=;6&eLqdt#-I77RgkO^(>JOdd3m4dkDuCb-6W}Q(^ef|0GGLu{gw` zD-0l-Nb*1(l1qj@|7l}YfakCdrR5JJt2Epu=P#X`>mJ{?rVK<&(AFIFo_LouyaPqL5bhOPk2T`%QvP@~Jy5|+ox0vR zl5a^4<@fov?ulV88~2d)!|$rB_6&SC%WpxYiEZvrlt?s72qGZA{opTB z`($|)rG?DW@QImmnVfm)5pN?g_)wnt!+DR&?}lFoVQt(xblAIiKTknak`1p9TuOC46mI)YBJ&3HpnkqH9{O33p9N5KH{XvhSF+=7#$y>)3F$c&sNaA~4$cJsQq zz1}S{KOOAlR}9z3`Q_akwKt^76B^-6V8{W7%6}TpWGHunAyQ#K{}1ApZqcHm;y20Nq`_QIB{)JG#E_x-j~j#3J>8Egd0nVA&I$#k}2^-k}4EPKTmD3}4Pc@@m&;!?eYbK-UNEko{U z)26+q+m2Z3DR|n(x-S}#+sdt=2lFzurfA89Pw?cEGdS3*Q5RTjokqkofxf{(C;EU#@8|6mJMafSluZouuu6`IJ&F;~_G_jElPl@Ak3 z#x*yiJ4znbFcY7=4O-UTS$39Klj1S^;4H$+D2=^{NIA4$q$7@h*Ev}~q|`udg5Vgmq8Q|D3fE$H=&5oS_dO)V7H?LRt|)u-h^^a) z-a(oP1LZ(au=A&gb4+c12nfee7urQVl>Y{7#_|v#NNWd@R}zmJoheBS*$Ovu5`gW6 zLRYX6ZA55KIY?PlD5=f*CmP~dh?JLvyT)Xda|%s@Vg0U{Q#&2XaNspe;$(i(84P>pSesW0G;}w zB_e2vWGJ5w%?yR(K^E%dTN!4FQbFi1yALpw*1ZbF5xGRrH3Nw;a&RIHm6@Ujbz?P( zf^ojKo1cf&9?k+=T~n7JFCfcl>N{!ghq6qQAg~Bh$l!@dAezDM`^T;=Q>g)pK?T9uI+mPl0PvIU0m>7$ zSR4#)ta&aSj*_L&6uI|COJp?_3)1iWZq!>j;}1u-|4aHW2E4zg1|M9~k14X!6^}RR zE~NgE*lU?QbZVB+4Gaa$ddxdbNG(~EH5{V|UwJArAmto}7nfy`+j@{NG029&yaZMS z6n2-4xsQw?nUTAs&_5@zfo(jRx<$ea*&Vb&HH?KI9;}khVDr`k_Hnn20h_&qjtm&PH;_7<07hMWE^FcHU3XHc^U+x6Rfzqj5wUVNY=l;tD{`RHTjuTL@Yx zpcP7_)wtT084NWJ`uqbdaD1?H_B=m*{MdjCj@@e!g~pOgz}P@qRwEkSS4g__*$N{i z{VX9yrv<(5ur#1?#A;`C<5VUBG*Nw0Twb)bQR*f{jZ7BFRB$eBV-MZ9;&^) zodj>Rg~zZh(ux$%*QA)lCUxH2xfr$}ZWigRi87k+`w@vX!!ckP*dMPO$a<)v>=xxn;AX-`{l#GFtnIR!DM_t2yEphs6+i2 z%_3{|$ z2du3kyH*kJt_hz{{=rup$&MZFMHZRk>S$w0j-R{t>GOMH0Ds`;MCS8!%OkRlDBBk| zNhM*b?#J`Rg6|%IpDzs8;a^NZ0|s=Z0OI+|jsi+Jh4ChYv}yj%m4FUt*~Jzw;OLF^`wniM#^Kjtc=GDZ zkbyu6L<49(SmZvDf*y%NQsMZXfvegN2*nU3fx?ZQFx?~9Fm@E-TkPfg_$bJZG`e9s zx|xMD@+PWFDuy01#lhWu1Wi7G-hc33FvuU(c_cUP)<82ip3YT`2G~@Qnb3BZ-4m0o zcP1~(4yw)RJaDXy&+vmzf|2ebt8eo%I1S}%^E0yx+*dkZxlns+bn4|;|Hj^ZJ7&Az zo|d~YW2-=cc5dZ4x%C@*Y&@<-#O)~&I;AxwvZTpUbmGC=mXB^+|ZDUbsdB0Y}^%^{$0DDHz`O#2CDSf~V8d70W6rUf#UwTH4tu zv2)k1Vcet~4D9{_OG~wV!FhN;5)u8pe`pB%8D(!D9}WhPqFTrN)924upe(u}z#J2Q zY;tmC|MRMwhpbMY4zFM^H*8p@Yhn_?D~6WY(8%a#viz&xYi-Q{QCth{2XTt$2?)GG zP{t+*DW3QYjCg~8Z->>RC)^Z*-T^!asjuJWi(C^%03!JK8HN@XAyCPRVMVIlf%0vG zftwM4bJ7kI466gro{_P!RABhGZ@w6|)m`eG9UV(?PN}R}6Y}`6Zo`CjO;SoSW5B0cxCSO5HaMP3)fk35cLt-67oszwwJ-Xu*TO~H zgwMX_<*S=Cb#hX`{^IUfR(`(8=VMc+PW_6s(7>l;Nx9u~+G5k1)YR0#W&RTr6Rbgt z9cT!p)@V3`t^Z*ZJBU);RnlF&4D2UPpu|iqDJ$6YsAco1D_4XMA3Zwt@^ABtL5Ys+ z8^4vCYh-FV-TI}dor6PSYu}|;zx~2p;;{J+pRqhYVM+-}Ns=lmydd6}q4x~xK+fHw zyxqRTKehBx8iajQL(ZapH>8#}Hi7hrTR4cu!ntA`5)u*&$Vj-cD2+S)8y%mVE9?!BXgl!Y2$gcQYQW%2CTvBUMznX_jf;?DVj zQH0FR?!uENr^jKAa%@=_6B^0`nq@E;Y5E@5`lAIFElO0?nu`nc40cKHq3H2Cf<&%! z4FlI7qACS_?oN%)RJ1Ifhvkc)u&}nj|2mD;t5v~gN;-yvx^z(9f{Tae5nxRY26#KS zCctb8`b^B5yz#NIz?X_R9>h$h--FL#pc9m4Lq`nx1O!-V8wTG4(Tcr$w=I6$F@I+Z zfhubo_^zH$^wa*J&j+sQYD=-R0$zJIBE~eR|KVO%hYuW~k?&Uy4&|eXKr@FZWHc+p^uJyp8gxOs-DsK#MV*rBPy zz->wE)2B~)aJiNJ@3{8_o7p|)H`r$T&oXn;Q`*s;Pek40j^(~58NA-!Sx(Y(v~j;C zJ+ak%s}{`RC5c`nxlBH@(pz#Xf9Cl3IIKYeK7aP8`hpIHLQdoA_GJT>#8VNUnD_&# z$ssTC1ASXuXJ*a)sJ$U!`E>RTUY2&|#EBDPmXdFe!iwGE-KGzxJtGvM;T&|i*Su); zY7vBpEDSia>;w*C*0L+QvT|~KrFI)OOe5kx?n|xsIy^pF^=1~bdv5_jurXgLI!)c$T0MKdJUOYd6NS9A5KPPCK!%Y&`0twF(=Zvk*NrFe#{ zTDojm&;^V6kgpmtn z-@U(`kWki>T31`k3rOiWn0P`ZWl^_NtmgX1_w@8|?Nz%|Tx@7)DB;x{r-O40Sr2l) zR`B3+=C4b^Al?aXsJ64SA|o~_X$E#773gB?nww>OuGj4=bIQ7R5)+spD#N|^evr`f zcHZL`7hjSG-pY`B4-QpZ93h?<2c$c8DbBCz!>XvO zplxj=`$|g9uUm*u6Wxqb?chjl|6#!e3(Da+lw~FA!@OT3MY3y6|96?)t1|Tn}5&XU&V;7H-_Q(ON}N>SrZ&bs@MgPVR3*i`LlK zXpJ%bD|&UvDu-cGa-+Cd7?T5TvkH7O>)e*w*4DFlXzO}L>oF7APz$BKvE97DS!lWN zY>W&6!@~!i+wTe??OGg0WJnSYz;U~LsCof zA^J!|OUrXuA$0+fuD~d7Q`lPf?Ac=Vt7=iYiKUXEYmNhinEdvb8>H+vNSFn>6i{V9 zg^`z+7n_(^o^rs^Q66Vr4mQFJUQ<>%7MlkmO1!phCT+jekpz~u>> z9TwnD#bz42*c@zhTmfQf5WpUKFB;e9z)KR(BIoScKW*DKH*cpBd08emIVOsm(Q^P7 zrbn2jYJdCfGc*r~iP`_aG}eQmSfn`_rZySuwPaSv*3-~QwC=g({F z>Ns*+X5D#l9+$W}T2lna7Y^`;7*G8z&0OtlZQUUJ6J6uUiw&H#hK7c9jyZLWxG|BC zEFmK^qot+g{qQgrZ8P6vPJ6I#d8xIEHQ*%H_zOTM$(flO{rofm)`p<#vi9^81b9{i zBd8pJCD^sz)>Igb?Z&aORVL=(@U94$>(a|U`}7=aJ@N7iq~nBMYf7oBq?ectDhT@( zN*A797dFvBNUuuCSz*8bw{AZADCzZqlb&&U{r`Ns%KIfJ?M#E41tSQqVE&}PAyeD> G_ Date: Fri, 26 Apr 2024 10:59:51 +0300 Subject: [PATCH 37/98] Update student.ipynb --- student.ipynb | 93 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 93 insertions(+) diff --git a/student.ipynb b/student.ipynb index a50e12a5..6fd305f3 100644 --- a/student.ipynb +++ b/student.ipynb @@ -2395,6 +2395,99 @@ " save_path=\"grade_histogram.png\"\n", ")\n" ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean: 7.610115358947469\n", + "Median: 7.0\n", + "Standard Deviation: 1.1050580688804281\n" + ] + } + ], + "source": [ + "print_stats(df, 'grade')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Grade is approximately normally distributed." + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "def plot_histogram(df, column, title, xlabel, ylabel, save_path=None):\n", + " # Extract the relevant data\n", + " data = df[column]\n", + " mean = data.mean()\n", + " # Set up plot\n", + " fig, ax = plt.subplots(figsize=(10,7))\n", + " # Plot histogram\n", + " ax.hist(data, bins=\"auto\")\n", + " # Plot vertical line\n", + " ax.axvline(mean, color=\"black\")\n", + " # Customize title and axes labels\n", + " ax.set_title(title)\n", + " ax.set_xlabel(xlabel)\n", + " ax.set_ylabel(ylabel)\n", + " # Save plot as PNG if save_path is provided\n", + " if save_path:\n", + " plt.savefig(save_path, bbox_inches='tight')\n", + " plt.show()\n", + "\n", + "plot_histogram(\n", + " df,\n", + " \"condition\",\n", + " \"Distribution of Overall Condition of Houses on a 1-5 Scale\",\n", + " \"Condition of House\",\n", + " \"Number of Houses\",\n", + " save_path=\"condition_histogram.png\"\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean: 3.4131947754790732\n", + "Median: 3.0\n", + "Standard Deviation: 0.6509397347766206\n" + ] + } + ], + "source": [ + "print_stats(df, 'condition')" + ] } ], "metadata": { From 6b116089a42d02e2e04a7e6591bb1751c2bffee8 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 10:59:56 +0300 Subject: [PATCH 38/98] Create condition_histogram.png --- condition_histogram.png | Bin 0 -> 46731 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 condition_histogram.png diff --git a/condition_histogram.png b/condition_histogram.png new file mode 100644 index 0000000000000000000000000000000000000000..5d5e1826407ee83476862ecbf1c11bafadd8ba56 GIT binary patch literal 46731 zcmeFZbyU_{7d49QF^`ED7@&xhqymDiJfzZ%NVn3B$2>~C!1Ie8Yt1$1T>J4g$*Y?;?A<^^L$jG8a!HzoW>pyt&B~DV zYw?qxy6496h2QeBqNR+PuBDBpxekqlrsXYTGfQKGn}@7*%qHmbe%ci+4N;{F_c+}+ zwSH(eOw4OJTiAFs_XY>>YpGY4zI`jyt2%9^p;yH_?c_3I#2rwnn~wX_&>a67ydiJ- zJDSrgS86YRcj?Y1^7Rhm?|(CHJG6@Y;Lu|lI`Wl89-96Az zm_JY#>#ei2gGsV(pg#U6Ma+-&v(t3Dp1*mgVPzn1ORCnRZ&e{iGQxhvp4Y>#7)xgN7>>w6(vsts`yD;bXi&n2%3Hr}Ml-YqnWq zr_0YoF@JXEW5=$%ccoQmPScSqc6PGr`*hy(%=q7JZEZv5;#ccmTwJ$i?OIW)WSFqY zl)7$jjcjoC&|CW6L@D9fOB3HJy%~j;X1W4-jpRK(+)$z&A6MRb`Yzt>d~K9Og}1}& zhzLerqXzL)rfp?EgtJ3kEEt4^)dg)v>Z(Entrli(Ke&JY_=yvup`oGUV`JCb^Q`KV z)C4olI@Rgv>G=+F6rcWJb)ROI&j$~_@04j@iTl0{8#dH@dHX2y#_N?<19g<-;-$O~ zerzf?bX*@l{`~hgh76aV&Y8x|X|Fz9_xds18m*viclpJO7lv&)x6ji?f7-BhYvT^7 zGn#GPkrkkPTO(y1?x4jPVj6!sUnOby7X723-={22P&mTOU;YoS*-HxM7E znroiq`M4m}u>M44&?ydy15YFR`t&bfy*jusJJFJ&dGCaLLQJ_gQ@l*HJrKNTi z!s7!4YYsW}R)y3$j28Oq&Cbuy_Z~l;^=P;?+vwZJfIQo=n}O38E?(TVcW)fGUX}iE zOXdlgD7Pz~^odK0^A*}$Jx2T+xmR{yNKno++?dQKXTGeHiJ#6;f5N_qZpk#N zc>DGuCnu+X)qu~!!otpj2b1yK?sVK&-agveSiw=OdMDCG94m@}qe_LQhIY@M7+hT) zpRlub!#>;7>M1;@AA0tjYPzobG0EWL>CLQ^xN9%&j^vLDW3x(N$V2DOLY<6MtkqzHopnNOw3HFvm@BB#+{&sRuUMa~ zQEaL5aL4xTlT(cvMn8s{@jK--?Z<`<39-?k_9v=8*a&J;la4&U_-M-cjk~dm3Klyg+*%+t!AJmBM zZf%JWf%<{9duGiV5|pmoQq8k8U{lMJ#ib=qo%Ulqc<`Xp%$G+4jmcqSE$a?CKEHG4 zjw3V2lid!X*)$Qp!NCcbOQTQE&)d=O7i(ByUT8lxKB>5omYv5whs3)8>mX~q)<%wk z=bTz4dy*@|&T9Pe#~*geC9P{#m~TV8-CX&M^X<%R=|LB98&&#iiV@ZvRPEYs(Xp{H z`{B$+pWt9tW}Ul#<1clL5+omQKg#2>?VrW}&`@b}9~^zZ60)G(fAD=Z`7JX?i=MR5+pSRu)BT*l7oq_CNQ4x_( zPj<1?xMfyUu{I!G)Oemt?ttMlj2 zpOtgXBdtf;VqKPIuWsA6?SxWVM4WtLT$V{|oXgLpIN4a~hdL5Ml1PM^b`!eqOG^ha z6LnD%L1ZhQK#bS<;B!4)x3VtVOd}I9^lgE;As$&d-#XFbfMAqSV^X;`S1bazVM|6V ziB8tTEs@Pk;Yw{XdRP6@6t=P^s^!a{KYyMYVczq>U}0vAe{O$ORaGFT*2B5U{_uD2 zE*%iG7BBv}l;4tJz(ASn3-_Fy?F|#7hC0s~NQ9o@uU$C8z)&A0u@4UykLR6RobHrM zP~?o~(M?xU$uj;-9v1Nj!BW=L)D*8oRn9g|bY7f`l}}Wrqwi`Mb^5uqNG@zS-c7Ny zw~sSz&)X|tsUK)xWHYL6(w-;xXzM}wTenhhBXVVujPY^%?x$DlBE@L=1qFNiZ1g!a zoThxoo`+-O^f$b4%gN0(XiCu}Yqb08*Ozzh&;(R|+f@BWZftQZ>)_aUPepysZLI@m zY_GA%CwxNc+qHfB5gQvDWJ;9~L7V02-4yk;t1HvIM|5#vqMAfo(~g2ztg3<6>kig& zSD*3jDcC_5BF1l~WZ^R*?<`zUD!QeR z?(V%Nc41zhKem;ZmzU&nSbbBcrKO#nnTgSS`*5HsRV%CdJQ?hUWQ}BU9Y)4W$Q3;m z{*5H|Glkk7QDIxS>PcS@2m(}bSS{E5GHz5Nx(-QBCQR5#76Z&WQSR~T)j2keB2{N+ zXQacIH?_2SdU_&}JK`}u1FhM~qCUr;ep!m0R#}{zstqzLip5gtpC2u5M0U5D9oIR^ z$QX0;{S(91ti-ij=@SG;a^AA{YynCjH^v^pK4Lj@MwPszT3*ITPS=)9({|-mYd2jB z;LS^~h{tnNgVET#dU-C+PMujD>vSH_*p_F>X2; z-!P(8>Je*D8^vEW_~@YXCpS9ogb(!l_a`8K4L7A;bfx8JD6pH5eQ{w;P({c==h+_G z!XGV0@=W5)J*)T9(vm;1w9mOdkIM)!s~NOBY}nEQ3sr)rh*SoU4(8vTl8f&cvL zSKoR4`t@Ex>x3-_g@bi}-oL+^;INuVv6ce6^rEFXBd4+Vw6nr0OF(LwR)g|gy=`vM z!wrc+adPodSKRmN*oGU7&KdCqO*N>P_2-WkrP~X!vr9hOa-inL#YdCvHk~9=(yetT z*k_{pY%;)E1amd;dpuxA|GllkWf}WtA56%9*@p3L)NoNl{Gd#zI=|0`R0v zbj(il62wKe27-74P(^LwF~*}u4G`>d?0UGvRXa~s|G-|b6;IKcr3n&3w?jJO6gm!!?Y=I3wvefi{j$qg~dhp`J*bO zWz`{q3L4I{I(hB(G8N9)vTUk3*ATpm=$&UYgFKih*xzdT*7fnpMRB6OC;Bnme7ylr zC-W3EiX4@IOl0)+V?_N}V}Vs;&)-`cpgx@*kDXcaJq#7W;ns>brhQwNc@)y_*74MIltPjxW%q|?gS99@>>N`dD#7RIB7Nn3?sZ(3& z&%`vUJ5=@^X#hawHK@51De5bYh)bY8Ch0gQ=XC;APADWLApfXJi#B=#-Lr6U)%4}* z^KZ1da>^M=NHm+p7N|V^=L_GOsquea-vcs=Q!mUzV2qKD6z#`ow-h<$ZwGWDRThvK z(w|Of0$pRKkwSf}%vBQkoPRFbbY)_zi%CayshMS34=YPNJNbHs{ev${^p*nxG00P- z+!$%kxB4-pL{cK~lI*o>Ug|E3Q=2AS-QDXEe4;0Mt1D`2WwxGONQqNOPAV%CF=@?` zpk-I}@-e?qG~MA)U+nTzb#Y6QdSM)j!~tXkDkEZXrct9Lpr3EKb`2@!+VgE#@b-wK zBx=ehC~BTDF#h!Xug`Dtjhnf;E^s=|+zQ`#-TRnCnp!9-mqnz%lIpCscW1`S7)l=K zAQ_8_ic-_l({JBCeql}M_ zOJm2#7TR027ud-lm_+{=X^%(A=d?82OR6i~s^EYxsoQt#;MII{pNBRbLrb^9+1NN? z?Uw!etW4K|5rt;{xtG`FA=v%xTNL6Ma8o~uE~<1Di%gU_C;f(Qe+0xmQgsr?WRm=z zvM8l#N9{;xQg*53cKBgD+*z!FMVY9aDUH|a?(U8_`*T4i-)7XW*|-54XllHIgM>_x zY;hzH?vfT?g!vEwD`~)IQUD~XWDj7n5J-%ZOh27AvaPNsSjuISE6Je;%#L!4dqA; zj@PS4LMP$u@}*1UHN2UmLK62+Fwws4sl~i0?1_*DDpn$s-@${dNjd_l;C?5ad zJ1~ln#zP@vustsmugjR;oPc+It2j3v z9p+3e*G}7;#oW_5Z8AFl-0japw4A(#bza`y-c)aIUoZ(s?)@DOqm>Osq?Eg@HBqw9 zEJEq#2V=g$a8F^brE{pjZmcegP{1N2DWp7S}y~ zHB1obR$7#{Q9;A0e&D6uKpiutSzIAmy&fxo7weRyWBw0k1?g@7SwTYZ6L)uBQ=V32 zvM#?Q0=Lrlh%&cF9+L=U1h8YMy#L3J z9@DndY|0rT(jVN_3iSyshiUEQdajfwZf>#w z3%4)U#Vc@hQF<|(+?%|RS#&e5fogak$08#wO;tzM=z94n{OVRRK1ap;GCp(x-F%9< z9=;Pe1uHogYpJC3OQN)k3l>-ds#B~X6Kp3*+|%>3;ds4*2Hor1_ttLCxb@|NFT0w6 zggSxA9WFneD9oJ_2%4Z*o|T(@EFx5taU)9acBMHJ9iv5wYE<52Zk)!;nGEhmAVnFx z`+FN1I4mZs?y{#mg?gB7p{~(v^+J0j$G<-KbC?zU9EeXIs65qKhaBt^U;WXpVysGK z_6vT(W4Z)JB_3~}2*{Hzx&yofiq1alHECPh90H?IIrWw|4UpJ$st@H%4N_FtH?xJW z?_KQ&VxujGTX;jxx~K=8GL!eD7fPrR58!&g-lH|cARK>qwsIA#3kG5@uc%&isBc(U znDG1%H~#s-_9vpt+}vRD(a4V%Q?<*fJX@cD_lN;}(C;jAB0=TNgN+2V^vqcNMDj<> zLCt`S$X1!~9x<>+#jG%rL=MCfY}SUt>5h1?b5TKhh8%C|bcR{){REmCKz#cgD-%s< zHM64GV+uV#rl(IiUrkC%nnTE}b(*oovJsjeN+*>oCM*NF&3zB&k^s|1 zf_=Et%gvIJlyD_O6h?#v%u7se9ve!pHbj(o^7r3fh{H%%nU1sOq+Bs+$++&io2?Et z>i+2)v)|utb^qsd_~7S;M3t!;F%D*=FA}ooT^4S41$$|9+Nig!)45N{d$Q-$sZ;U0 zyHZk8j7Nj!x*KY1x!b4wC60Nk+x6_~GPni+aQ(5#SUFQz46yPE@LK?Seu_Zdlk9%6#I7EM9agOW46+K_nWH+on$cvQS}m0KI3Ye=+7v2mAG@O2XX63 z297BCk$RyrR7kLraR)m)yZz!+qdR+aZ*^FsFN=b?Dx!kT;HMWCsnP?VF!i-gTqu5Q zj6T1-e1)Y5^IHFI=MU@vV`F~~4dF&wHs+p}H|=Vvdu2tL)of%2+d*7%EzmnJ&FV4S z82udnNX{8JlJo8ms_FquotVXSuL!`^e(WZ`A0emALZ9l{J32a&J;JO1>DfUp?K+2oG4ZYzh3qcfkI$Y)i+O6V>rE_3x1Ta3>;nIse=}nUmT5hJ&e6!WArg=c z?rJgj9PW5|+0~8y2KgN_$V4}H)LJX*WVg3e)I3cBm=J=`BYg5K2l@K|b?dNuPEhg& zlkz8<^}-@s^GOsVn~}4iXE3>#k3LO|d8@Tp6w0n|65 znc2db+h5;V>anq7egQ2E#IIO&m28e*tf@`clOjRRK)J-p(J|p$dCpX@w;IyosU_2O zoA>&BneD}@Z9pNcwV>K`%qz|KJYRtLKy9=qr~f-bCR_GPTlLqx7fE+sv=8!=PLz&( zBD^?R%QN+Js5yP^TaXzK0zD}k5wRM;7QFyM)8UurKXT;F9>Z@#LkS4<(GEiP;B}_n zY~f5p=3>mHkS_n3!miVWKMpm8#iv` zskul`_17|0+BV7}@bcuzihiiS=UKPUjVU8wp8f~?x{{4U zMBdle*PpP>D0o4LcgPOzT2Wc=+CPljSQO-Q#y=xHx*)C?$+3*bHgm}2&+Xf9 zPIX{SyA2aw;O#^rGPLplL-Fm76RKqKYo+C5C+P{ydPPS^*E=%UO$D&6%2g>nqylUb z&u7{egB{CI`A*-j-3N#>P_yu`Pbr{o@% zekj9RxQA{;K&*fD*D7v_vj#Pc42POfB-Znf$p<7pKtz`5`fDVyH+aafKF*hb6=ah^ z1d@+Di9J?t$MgF8z|Xrs8j_ThoSW(LoC4lMTDvm-{kzwrM~?zenI-XCd{eA{4@$ft zYTXJHoQ=2&@uzMqQ{;*nu0GVClW ztiShWVXkOmK=`* z)D`xT&U0?L2r4oy_Y#KVNlEa$dKU zo@ZsIiVm+ahFJjQC()3M=9z9~>;&sTi?qTWND!Nd9+;=B{;E%_%_eWI> znSHFRlyI7xEFV_{?C|MXmA#;D^m+V3K+s%(FV>0DX4=$+d{c#y}>2?;%nF?DBEHI*u@;7bEc^YMNCy}*xXH$lO zH{tjQ#b{7l5;uJgL4<2Rx6!PV_VoV1y|M>|9h;t|3}6mrLH_JS2>`kc+vn=Vhnqg5 zs(wny=Abr_%{Emd)e=d+=??;8d~< zzP0>?^34I>>7Tfm$D!*GnE# zYNk^$?GOt=ik{%&l2*w!l~Yv>mb(_JG&qJ5BJu8Q z@Q*kVlLsPFl0QqZp?XF~lQHya1-92oX$09UG0%r~b%jMh;Ukf5oyAJStWhM?eXZHT zmZ=Ns>D>IJZiBYB#9G_D4+}zVGzT&#KfQg1Wq-}4RoWG!EP@t3wzjr0*vA07*N`)y zir$|x;ntlprZM+abL=SJr5x^15V=vk-cv z5cLUfyJi3B=co*g0H@>&_pyV6(+hKw2aA)LHxd!r#n@wiAxov_{l6#u=F68a6O^sZ z({@%6`VBkIV7$A$#4S_$!{&)RtHBJ@b^)x_7(~F5T3MB5qt8=rB@((m$HMnLx~pr~ z6&6y>sAO}ha>zod<8QsA(X^ZuNgtuTHYX_9JLl6@r<`{OW_n{a7?TwBSz2IWV`M!IN@t zmJbdIu{cvzs?O?=)TA}CO3Y5l#iFLhdazRsRaI(8$S5aAUZ~!>Ubgwr?D4>!-l~yl zP{KOF`^E?6__azl`7+B~f%eX+9EzxDIn=~Sc>gfR@yA4f4Ha@Q?ECaWe(N9u1B1zi zBGW~2sWW5u#gBP+I8Cd?PfPn#=AhEarD;=yz~mcz(<@`I7(JZ7d8=PP*Bt#&dtO)o zCflH#dK6{(wTFoh*4VYD>^yKFWF$?^544xB4((Sr#UIwW&Wm{@n;$qEq=MiYr;?pC z(2&TYp`ihy#|UiL9N;+=YGw+vP~mQN)fhsi&MT>3O`D$%eOj+HN+U+!X?bE~N{GyL{6ST(BI&{@@A zA2gHv8EO{tJmt_Wr2n+}+~Ki+^gQc4$RKa-|1mx_1&Jmo!=#n(fRKINz-w)kenm51 zHzq2kUO>R)Q+~x})_`w9yEte2L&S*m!>*Rs2M)F#WkgSJuO4p|H&ksT;08d}DS$U! zhaAzkwz{(wqc5H>nMU|@P9xO1mv^uN!%L!glSclm1D(jv&#z-tIZ?11oGxfLj#?f> z_j0Q{j)NCJVvXmoEz35C0)UaKD{^vxj9s$lt8ZSL`UwY1qiWAlL5_b>mXfB|vrXGo z+fU+(u~aV01EK!`=~@du6$oiZ&nNWMMt%%^sbjURdiYt$ zPztMpb^cT3sB{HaN6B^pJGp_quLBT!Q|3C1LoTrh^?dM^!DG9vy9##SC1si!BvLLURraEs=k8PJV; z(l8d6Qr4!P>30UPr_FY;qprBZ;YO;p%+t!w8gx#&4r+odvN4CSJ7(wRPJjR>R6AsL zU>0jqC`*f`OrQcZfVyICZk{&B-u3k>50YTMr4t9xKB|dG)b6CJB`KfKjMyCgkfTA| zk_}>%To{F7N|%4BgQ{b6OLH#&sdPzB^ja~5DMDBhiVfi~idn%hyX(yfP+7X^{1tPS zgW9J2i_XWypFM}&;5dXoLdIt`KDV*3AgZwD>M|G#o;-QNwIs<_@w8*lx1lmjbn)oD z4b$Ng-G4V5XBoDGuuNAQPej29S~G^=r{cvQK|r871y}_F`TO6>H`5(7$n`KB2=t9* z4ST1{``NWH-$prYXuGje$4AAaT7PfXbfMhbT)On)V~mV@5+efuD&5B3r9e-z4#0H# zN!=?37pc0&4wYmB-qbCO+lX0Y^Bpq?eXtmaP&xZA$4W=mLB8ObmrYV_envBds!YC+ zk8AsZ111yNa>&WN4`pN%6tACMob)D-3f)7n{gIL1j&nWJid^31+V#9br+PyHVfUTl zeERfhiS{uMWfwN4)gP*6UzzKRJAW;Z%TdhAh_J5wD1PbEea@n4KPjk`NW;diYt}zo%2ex@cWF=aMOwD=Y^$yLz!Br3n8RFP~VmdBeu>Jk407 zdI6_7%c!4OW}T)HVf+?RxKb>3z0sF950t){*^R`5a`wp2Teo_3A7=JC5)4s{!kr+c z>Q8wc5C3ulrLmcxT_L^@CAnz!+rBPghOH?#Fa0wC6EvywVMsM*WJv z*^2Msed%a_VyS7<%`h=B8G&#usg?-htDH(jiuH)nIT^66g2zs21h%k`&tgtMR0TJo z>+wTMQnCT8pxZ`CYrH77Y)Os*9CqK`0@XI!;o|Vfh-v+U(}kwu*?Z4A7wqLT zj=^-iGBmg!oHBH~29le&gM3?oUF|?rt-5!9_dDnw?i>36ecadm*}RRGRxi_9AHgjl zFHi91qEp|CM{dJ)IzC)f0ZmcU+a2b?qe96_>Oalr0tV~j^{lp}?`JTr$g}`SNn9Pu z8Tu~}b9J93fnJpt3s>s6r&x8vsM&~#;h@vx)4ium6EK#FA^V&c#;yvXxQ1YB64m<^ zs7H~l(kEn}y_jF;TckZ|4}X1UXXpAi()XtBeuw_Fm+dK-%Pi$}r-l4>tlJ$$$pdb3 z3w_jVuq)H?ocYhi>E0PzzuuRi7<>Bm?%Tav*O3WuH#ILyDKy%8v?Iho7|4tmT&9Mz zI|o4VQiFn2ikv!Uoeo~Qqk0Ke6^dEG*u$|2qLhb^*@0FeW?M8cUIZV%*<-2>GOb71w~#u+D)n&c_`g+rQYl%q3Gg!+mDLI zAZ1XcC0Ui&cBE*RZzoE)^oQ~@=~MC(Ens#`ja}x4v#;dV5S|gPnyMN8Xl{>hmr`%O zp9C|#r?Ud#d=fEPXYkztSf~iitSI~r0szoyHP5pc#Bt8~uUG_$rtGzY>LDM@W8UD8 zeETK7K4rL?fe;I0;F@*o^m2DfUSSO@&_%ThHxM-Ks45_!9{>KQHewox7XWa^;-Xf=Yu7cRD8#a8%XuOIlh}BrJi{NjLuan z-;88M61?<>domSM8Co}QW?~ zZu@0Tmv)v;#qPqTxj}=xzc8Ip(mxK|<%h0zM#Gem8_&)gDtqP1l@E=Lr`q?;K??07 zA{PA{QUO%1+US633jw~=TPOf|h$O6RrI23_IkB$T#idKzj4ObwHEko+YlesR@7^7S zeTSs%AFtxTt~k)1pZ&Rq9VQA?ul?2mLQn^ZZr^pYDOQH59l%b>k6Fl1%+r!oVD%b!v#{jpf>G$XT(em#uWRV?r5)b2sm~*>IzbWNKecXOHrA`iXqjKj#(zQIe zo}SsuN`c(xL%F!P&` zVPs^~#~bwv-|7Ij^Ki=n!(EIzmZ8>{K$)fNZJ2-ypxQ8`Ll$nLh7`@WZq>73RrgNU z@(Xpq;p!F!_duLpsNJ#Jc^@yYKgs27bEKhw6n=lRQQiP{*m$^(D5A4PSKRhI9pN7V z_XTp^FT!UoSYYkxv&Ewe1zT@YlP(NF{OtE|5P?!>X_Y-)&qF!h_ga5G-pt9)85v$tfE5f%a<=3Hf^dad&*Fs zpv0Y7D2|LZ5ey44au2ss6xD(LkN> zr1j(aH6+ppxf4efn3@XzfE&QCaTuPy5Sxzcuyzvr0dlsuO}mvp(OV$>Gb36M4G2M|z)6qyv&h}i3XhNVwuQ12%>F)23#j+njqLIw5Xd>GWONQa?AsrYkh^#P)fL&(H zhdrq#F9ljCgx9=VgxEy_)|P=tFD70Y?41+r>{Yg9oVMTpF>covWu}$bx^-*eSjj$O z8o*4~s1;WODG^{ZW;tVb)aqq45kOHnl9>Y=NOD zRZhM60J|cQWMPCh;wJ|(zBwhBEt{y!i-JLd5N;ysOl+5$~TrAhDTx-WYm$)YLRVdN-x~?n^`6G} zh&p}XN#qSk?F@6$HLT?F6mj5v&VgJX^V(2#*AOTmFd$GzE=3@7qiW}#S0!S2Fu#Rt z_!W1aQR0KRe*HRGYw%wuV7j6NvpUMlDXZ3Psl$@tUQksEKxRU0iy-Dl>~I0t)biSI zRAA|nSw8oOF(Q!1fXc3#^BkL(@?l1RSg{HLz5>tKrD0JL79U*&#BW>d8q5OSV0k=< zlMdd@YoHSX9p1`9sBMI+%cB0APJd>jx(qPhBpfDt3hk=G&YFGvCo~ixocQPImfUx< z$cvNa9(XP?v`V+YV5*NoP2S?X2=kO3DgOE+{S(xyt3d>e+*|Kub`dsYqB)~1f!M}I z8eX6iW*M$1O9V$voSU$?giT_j4Z_<5Hi3#z2MxAqlgx3r>fKA$R zt`koMsuXesw8BVB2~GKc^Y-dtR3i- avrM+BKBA1e{us&7~79<@A6A_Hb3FOygc zd?teuAJG>xxfvTt5{kYISSJe~Gxd1I)R&~$1R-1vj;nM?O>sy^M~@wgyYOHGF>oVw z>aa5Sb&eFxn-aeXN{1S3D$DM&ZHpKOVht$QreotxH1GoFPOYjr8-5_qF zJT#%CXLhRDv`2y;H$t|b>+#o^1kc9|ng+bXzbwm$|ATO(W{GW-#~)=vGeVckB|^cF z#evK~Jt`K5d`vO};gMjJAs$q4R4}*Hp|NG-Do3q7Ta?)}b31Osk1+ z628Z;Um$!NsM)D922axQ(5!6JzHKlW>%VAjfW@Ra?J}VyKrzIEC?qCnF!A<3n)T$8 z)rF8F*&0j#Dd@57bWop|oUFUMW~1BgkEAUJu^$d7(((frQv{$T>8PokRP7oVhyw%E zhyH*@1aYg$zUv6^<-k^;Sc!SMW>cxCC+<#&Wn={dOpd@W&mM9i2P#tBSPhLmUiQ-? zi4d4{pGgha6>AAkGnNGf zQWE6OYww@zvO-ORB41tpqMZ3#Y-0qaG{V3_;xWRQ0rm0t4denFOv2kiT4?O@l1wFY zfB=#7l+naP+~Oc{h(?6Vd4o$F$s1%RQQdwhwN$pi_BIjj_N*kt*&{_-{(Q1c2(=8d zL%GK)C)DJ z`we+><*uALb0!1LV+ec-Mhyv{e;exIAOpH15M}S_TTs<~C+6p?Jm(L2=bn_HTesXg zNY7lbN}GH~lfv+S*MAtho^@if#VFYTZ%K*>IHY>^j~=9>i$$HtjA=(P@d*W{m%$ub zXA;#5mC3Wf|GI16zIZHF5;O)ni;D@M?cqFdbSt^-aZ%Gjnpwhh<57)2bR}kY!1{VC ztLDn(%LWkR1#bOwr+$zSgv7OXyXy+dJj1W=9&ZU-eu165*(P@ikWW=J_oxt28OX*z zF$4G*!^V5J1_Hg|t2-;mzLE?*6N|Z({_C&5$P*y2)u`=ky*^&XjB)DLE>)ClEidmr zsk6fT$(-vOx4EEHyv3T;sy>VuKs8B8w_6rGbs9UZJ)|Fn1d9V>p_MA=*+*TA*FTR9 z8^c;XhjI(G%Z&oRTJ{EXKPkW^wG%dh0zW0%L89Tq59Z4VSxyC&Y=-?=)Se_|08ElN zzX+339AePLZ%<_?l=3`hp^~UGL$BYzr*w22-L-o+nnAknvTyNXz%%I9b$)#R?p+K_ zzf?w-pDbux(O%)d-Y=&3_|X2?E%P%zKIs-;oYyPnh`G4J9%O_79|$Iq?2e(K;K70@ zsjwteS=iLtEQ_$bFj4^J0#9mQ2%Ih~DBuDANRfut>Bp+{HN}oh)4A)Gt*grr(BuGN zGqL9=(uk<&6N)BY2a}EhCFn(g0#=58{i{~4Bz8%PG!P|;!=`x%^YJjoP$R&?3To4n z>s^y==UXuj7c*R;hhT&vRUX)7UjU%cE=L$SC!ukOQVEq0X9DXqzvE0wYCD#)cx@J< zKXoUF6J%Zi)&E@09NZFV#32upTrmCw>&Y+P5dk_XCFLZFHW{pl$_8Q3I=op%K%53G zpjzo#QA^*>IYXZ5c}$*(ZfYo>NnmCAg(Ri)D+n0`84}0u@FBtD$IF_)?3hOxpt|-M zarU78T7h!e5*yPJUys2aL3-uHMEjN7(Pm^kx^LSyO=CS?ZXF2rZo@G##~)QJH}XD- zYmHjdERXmkr>z|U@cY7F-JbdCd`W5PzE&i&YPdA!{pR^a>2rI&N`J3bmX7w}7?P<7 z*MGV6@?`juZq@kS{;yxV|7;Xrc!Z_uAz-Yrx{OLV$VEKBmBxXDyA>)*>`cD(Z<_on zBvrEP1#zt}-6T16CG_|8_p5)pOk?i;Yncn5%Kn*ESSXgZCG8$=kP^P7_3G2DUZht- zDP5Pc+-k&Y(!x_}r)aHE1b(fJHTiz_->$CQS!}iBA)f{t%WG>VNZ2*qOHcPcBhe-g_*@z^@h$#WO^+TEs9JNBnYsDJhgIFHaV5H`Q%-)x z-tR6sU-ck67sGMzvcNg@BF9{m4vZAoAf6T%y9Dx}y`sb#BaT48yxbgwEW|{KgD>jo zH+%~N!i9&W1?D|ZQcVJ?u9GfvnmaG!MAnrdPIG5*Bt}Qnx_*ps z&X2A6~bI(R6|gMTU{D%XGc zuloSM)gWAQFJ?n2WN~VqMX-t$H~cw7mYoS zs((Gt-j&*d$giJ(Q!>CjqH>Z1T#}ZR^(iPUL>JzU&HGPZLk2ss^LKdBg6Q?_F8k^Y z*%1-iYQ^+2pWb`9x_TEBik)C(eR#R%dfzpd>(8#caMPkuIFOfxLS0x)j)9wWjp`9a zvTQ9P1ctg~q^qhPI0VMOQL`s6N;7o-chCI)) zN$b7wO|Af+U}L}NXa|oUVxpq*wzjP2xoBQ#{z>}qgHH1YATQLc6WcmiQy*hIER%VG z*?nJ=xTNGUB+xr=50R#P>)ZW?K2>Y3?6l;hp(*1%*1wWG&AI-n7h+*#W)~KVHBFWmNl-~9)E6$eIRe3tdQCg<`xA|y8uwK z(UJ$2$vWZL2-2TtKo3B!Txg$(qB;CG$wUw{06CghTr%}PAF1F%U?sP_=F`@&VjQGe z9PXpdg03tT-rHXA;~tNbuZ@r{rjx7P|sn8Z(r|$MxGebAqKzS9iqvhBs6$^cgm z0hNwYU?n2$nEs}D5P}FRN@XP23H=9|_AY?rR7Q{jXj(d4xumYH9w_XT$Hya?lrLW}rXs1YP&|8+xm3;h{=V;lHy-de(9g2Lh{Bk6HMFA{IZMzk9| z-oeC30T1Hu@2`+&2hv;>m9Y;aFh}!$1>@FZ=Y&zY5V!@Al~&#MJSr*Dpp)K4I6VTM zi65Ln|0C3PzAX3x+=dAW+=__!fyWcIqbQXy*T^dW!3?_8Bv@)<(MUq*7ShQ(yhtV( z`YLg%mt^&DO6Ti~Nh33HRfgj?B|mVSf!m>uf4%bn-Z@$#=onLUfzh9xXw+Cvgv7lp zn|kwdmr%vyB(#_X8wmTQYp9I${%i4BwOXcDRs1u9X(f4OYyzT0Vu$D7f1k|4mQ+UMUeO4(}yRFoU3@zIGXB1)Iv3OjQ=4|tyvYd~f0%Ia~aipBj$J=@H0 zGtcO;RaHsK|6KLp59IRzZ*S(t`P~l$%Big5Et+GjOuur+qti;`(OB#N&r~id_Y`(EI%$B3g@VP5Z_ueVm%M#aP zCQMC#nm9Q4e@yeI-Eif4jB8He^+&_^X!uu=224zk^l11U%`FU-o1os%p@yTK$eS$iv>7Pw9tTZwho z)V_l0H4H4U5bHg(D=k@~74c(NYxy!>miX>cY3_5VNP@Cb-7pC>-#vHG+tEl#W zW;^fF@h0wg-Q~89n72Q!=e(UilVa4!zIo5dSL;1S3nnC;Q1a5PEu~ITrDC;wxnXn$ z(Y>GjS3wrH-is{(#T#4!Jjx2t2ICMab#jx;VODe-Mm*3BZqWL^)wu5F6DCA(B#gt6eIKl-hr6ovwdN>t59j zhJtu`F#c3V;(bjn{Gseu!PssHm4+Je{rfG#FP4`#tm-Bm$Uw6c!dHPJ?EY7MBipT) zx&%kP+aK`=q|xx0)+n|xa}y45z_~q9$1j+H)~w>&kHO!o5@{u=C)2I8^2M6=bdJ-T3RMM2Y*>b#Z9ge;h$b$$*{I zGtk?LrW_68%}?x@hhQ@GfhGAk`h9IH+uPMR3MZF~GKc-k*n=jhdH*47=uVv45Od_n z5k|@>vkqAV*`pMkECCMA2X1oBOerE@R|ZDT%-9NnOU>H7yiV|8p0)g-4zb&1(FgWX zH=VH`@=D1(x~3!X!NcC=B%caFttFixJ>A`;G0|?~8)=o!a$3f%gpTx0jt3#I@yw&+LXm2TvlagPud%h%sE{8rc}4+LN}Es-Sp`mGlQC0D zy49Djx|1VA_i)N&tMn9$O%C=_B8oJTtiM#g6c!L)Z90vt(GTYt> z90|%9P(+5!X_1fyYlj>_5>uoBAOHJ(+fWC=_JH#a-tG|#hIoRtu-AY{$GXL^abg%{ zaE<;f_Ft=`Q`NXR7d$69UIZ>(;*KhVr%)8wla_yf z`Wqz=zNm0;syM`{+?cNd{{ezBTygt^Hefy9ESxBE ze)Hh1<@advRckoEeDc}zlysGiX^a@d1Hz7qS3UM$2bLwx66o3_r+!g0a3~AP(regg zS-qOvQ~wKlDPDUFhBe?aLgS(bGqI^jk@#nkEaU*Ga9)%vtEY|N?2dRc2I!3y5SutiYp~xqmo(kwoU<7e0LB_3Uenb$|?`!(YB3h6T zm9q9kW1W$nv~AbGbjp(hKww_A!bvVpD0GNn0k6>A)#W{+IMB-cE5AQ6roVRv8!%Bd zw`RQ?)Hr7##uE~GaGs!LxnqX^(4j-ED~u)C)C&~JvH*%r^Mw~;itq%Cu^_;eb8fw$ z$N33hJQQ(DqSCmTeu2$Z=GwJSCLzCQvCDjG%3wf*0ye+`5uY&DU@&SiE+M9ORAE(L zKGh-5GIp7TAxC{>nYJ5>ZA%D-b(S2Z1=|uK2le!Njfb;QY*DDt2HW zmrjEoy`*ivl<$|&xvYKW66-+m>2Ux{=@ z9LOO?`kh0&oY2m5lp-m~SH0sH1@K)tX*?}Bf=EXJQHc=F^XA(n|NU;3%2DEUl$r+{ zY0V4F1{9T05vn}7QD*Y|0AVt5oD5fO#xmGPjxw$I4ffMw*W_Yz=3!;Sv6=*|SJvJx zq%u$Xpow6Gd_a0r#I_mxwQOM5Y2R)-Th!y6Eknr7n_;0eS+}gM)8-By7YBL$F*sN} zwj(6`~dA;Rv$>#}?v8qk_21t)e7E_C+?6t3gF!vNYShIxZkN9Ay_iPBsnm*T*+lZOcA2km7_~0*Z|S%!Vbq7)khhR6qo;5i8BHVbHyqns3)SP1P$vmiI5$ zmPQ&OCn90UxGR!Mkc54LdgO+7!>3u2rISY8sO#D94G zq@=3x?`5-&jMOKWLOdTo=FEEg=BD-|50w-KG7RAM9qjXH=lqO=R%%lM1#Ob>NYNnj zNtF$3nriQYyie2(fb(Ph#eQN)-IW2{Ocj1r1-i34r(u>OXL+48F&=U`e*-Dptm2G0 z3+LzC?8gBVx5&{SV!|}I8RycSz_^T096i>t6qcQWfBYVl{T&Li(wDK3Ww4WU_=4PB zV*fJ34B&pc1?&_IN+UT?2Gw+{y=@Tbrf({OfE#7N)|q_m#T%1=-<-L%!OtZ5#6X|Ot zps&Xxv1D8QBCB==e2kS5>y?HUUgAa<4sxojxmn3&VeAnSGi-+MTMHd*P|yrCyxj@g z01511pN#n(qkfEbnynrp(HX>1ux1O&uFVI9RndO=@uWMfkLc@v_N7J^yPN;1k59s2 zqgEQ~V<<`8!)nr?|HW^6ULcYM^e$RE`#htetAbYSCy%Ji*TqRITd3Q`h%8siP-`gE z?opTbhDujJTBdVZlPLNm3s>3m`Zm;6_oOOdGVpVJ4IS+`vxn{SGVpoD4w&h=pZ^H*&m($!5yYl! zdouum5^HDzHAApEr~nHg@>cmBS^mTgT4Z5#dr%`#Fh|�hpHjK&cS+%?ZJsQiCh} zHz0L{F@PdXn$*>cZ+AWP*w0Tjr(t4(--4^MNK;djs{PS+8J(RwpT>Od$B!R=K4}f9 zkznLl(0zhO#`O>%B5Q``vGzo$U>S|XwkMv;TfuIFK|cHNa$(s3DB-f^!hzA*UasFmub>47b#agu$2udqW=-dYOR% z(ovZfx&9YUeBjC^I6c%XLrNK9eE-eDE(2cJ5T#KsyEPK_6uEZq>)VKE^~>>l`O~N- z>h2DKz9SwUn-05Z6dPkwR0P)-kg60T5zg+8Ex{s}NV;Q=d6)lZ$TJU#k!xq*xB!y1{v2#}=)cTY7>yWnU6 z0~1rw-o)kTP_|=sZ{qg-%k{wiUE5fepENDibqYn*kTf|5via!2!g`V5i8>Zv-+SodPnEGr!L7{8fmutl^`{fk%cK0iAZ2?5|aGa;M^*U;zg!5fPE| zyMF!M#lO~+!9(oF2x)NlzyD0+&H}m)2FR&bSVSo6{(V_Kwh1UufyR;O6~n4)#1bX1 z2f~GJbZV%%_CM3MrVRLxr(}EY6=K0aF8NQT*!I4~n6GyxjB%>(^F^El7hCyjlxZAL z-PqN|TyK^%;tC)~pn}6E$Egv+0o$YHBIQ-mINPs-nqNKL)x;&WJUyqk2Pu1Td*etX zm^#r>R}O9mwqZM~rXQa z9AFP5LRtk2`~+02$T_eCDxqPg0sB1}{wV*)zfPLo^7b2N8L=mz{T!!i>Sg+PqxF&a zyl`|Cj&oEgoF=X=92Yg~)aka;_IS5yTr80|LD5hq~Dy7`}ruIxq&AO$_YRGh{UW9-fZJ6D{#g zJBP?tP_KA#+-nHG#TDK3W)VHUAgga5>EN-DLi613994%h`+v0e=3zPK{oj9fV-~a6 zBFj)j*|IOuFqYFY5*4D1HYrk4vNmRn5s{NhmTZ-!NV|k)7->OMX_E>?Qt1-1R`=s| z7Bj#5_q)FL_d1T>ecb=t-{U&2?=>c8=lMC`%j@;rUivToni#WDwHDPJ9xbtNiM1mj zVC|E>V%otHN8Up~_$?>SZSJpj>gsk;ou>C~vI?s#MgtAAwyL&~<8bWu)dbT;(O`)h zkYD-QkM)bVVi70`EsseRGJ&}Wu8$LXwRl&W>cR1Ct@zG2kZoa4x%q)=rj{WGEa~(C zc}1dghDhSJD5Lei_*DKH-M^N>4_Vx2qNg`X`EwDhHXpkmQe=+HO816sQjv1DNraZI ztu6NH-eD1{>g)Hj^tY-6_1`OdnDtLWI&>>@0`9?4v!1JdpodOg8}BhLk9+J%-rJ|e zApaT2z`qYDX}H&1A1?hY;$i6R7>*Iwo2pN)W@a_U;MNa=4%|sOcqnRTXN{usP7_6a zFLWPQwl?B(gm-dti4>1YI3+J{)YV#)BhlOdXAqK{n043$_)TzS*}xo#WSLL$wO-lC zm}n37uk3WH5EO-9D?YaX_ebjMtPeP%;|zmmPc14Me|0FgoPcL+)3TveP>YT7D1!^{ z_Rr|uD2q~mRHf}+^1YE!#9517;nU4yRysK;W8D;6wp=4dFz(3qW+koRSmuW>8BqPg zB`0^6>yw3xzmKUoWgHas=wh|u?vu}fDDkc+HIs|#JxM;C|GU;^t-nh!5f%ls8lC3r z-p@fyV;D>Nl6I(++wEmlkp*~phGfJ6UzU?IBl0bZ`5?OVd0wf*8^Mab|0P&)oOUv( z@6X2@k?h&`zo@EwjIVRZ=3+4s5D6qAB(Y%#(vMV5PPl;z`Bi9xmPFTc7)Eo-D2zBk zqj3i5lYA^9eNjP6Kd!x=mIc2q+01^Y+mlkkDAc*Mp+EXY~! zxD%ABgAYTuUG=N#>I|f}S_-;5iciJh55(iB6fro8*1!Y7TtA65^aDF8 zrE@uT8dYv8#7IG{*eOfGIWj|DeRvnJFZC8|JuL-0)8vn^piT9)Ik{)S!NNCuL=d{2 zfRa%L!t&ycNdF)q@l<Hs}eNWYVE=Qm+omv zhw}Oni+@)G$e8&d`}JW;djWlggF(|GWX@x-B417Ul7;pS4}18%DTUds7bE%3r@4*) zKw0!_T2gOHfiDP@AVqM?(z}RL93Kx`fC3`~6_!cZl<(iiKC(2i@8YXH`%3OkPfzFb zW1Um41>GCdEAVWbNp6n$#PsilNh`5R89lqD=Y&JC7bjmhKXTNc!@jA%4~N#EeChxk zB4joe?BNBkCQg`uccC|(=q&CPJ#*xkBVu5!0?G#K7RBC8L-6-`pFRjnhO|w3z6S=5 z13hWjlYyT5j~SL0+^x&6sTtt^aH2!I9mfniI;}$u)e3SeAJAUxVG;_78e52N$~tX; zs72(2qNL6w(dZP!a5-?bd}{2Y0~OA$uEVS2R=b~+vfMI1xh&zt*qzELE0CPDSNE@* zxaB=^JQ`HDNs|i=jf|YX>)0ykt0x273^6sebzfsuw|IE3Nk?y8|MSlV?bNflp%pux z4{S4L%IT|s2U{*{9Z;JuL7|dWC-1DVu#l1}j+SV}MGGX(l1eW)xk!Kkb-lXjFJQ@; zfGLGuXrwfEc{++q*1;@z)!zRI3b4{K2pHjLzEiINSTHLyBNVxBzbS9>^P#79tjMCH z32(ErKlSkj#HUBFrG;{4N(C?RN5-b71SleD{TN?y$WY4!86 zvQtbxt){LF$a$!3$iq#n0s3E^rvJ)npKuq6uFK9*5?RtC3IsjcMf;|np)YYK0190n z04Q`0`=Ae*Yt7>twaUia@3?`;*YSdRYl^ERQ_Y>eBhi)PMKh?mzd#Li>(RgqUfsu= zqsp|a(RX?5O`xroLVBCEEMV0QdF=Gcv_F>jfv^z8v1XZMkzj$ym>G-e0&Lev=~8;g z?KDt!;yPs6zM5OMZnXzfnf60Wz;^?P)}(gdqZxPMf|#`Is@*W6y=gx?VHvVdDMJ^_}T*VzLO!t8=j9vw2@`OZ#ns&aDvGn%yT)(_v%?&J#XA=aZj zK-!Ec!soiUxcsU*D>${f6om8#Y7q^qLTv8M@8N;Cm3|HE$(U~&XT1E+(lMjq(AAWl#>c+@ zWEe6O?zNlcdaBaYyDFl6k4;3{2^}X}->EoJJuHkmM0xwjcg;YIb!N3uwa5k=lT18t z#*%yc;ziWj4d|*H3Xri)^kk78F-*M@Zkff5`; z9dvO(NBJviZ~B=n3KdpCyw6|;viq~vfsshniQ)Uw!uG!d&f~&~yVLMD)+Mvcu!M49 zBE@!iIWX%?Sm}#~2CGGXN;p1S78c4t>WXrCu-mrHCQkz%MVGe*yhj4AURbKk3sN%( zNH+1%RpF3S4E8VYkRa4cA*ijCRPTHnM(eEKduBkk{J7fPrx6944+hZ7DwI;0`(07} zv7uqb*A0!cVQyZ#9z{<`s1#;KdNJ;Bl4Fx_3P?;dcMM*+Ij{)@o#Go_{rI`*9vXNw zaAYrq@tX$vZa!<#6%ip}p%$h?91hqtm(o0mhf@EGh7$Xx!x!F;ch4Us?{xvJUfRl; z#by>3w19lkj;z2PJ=Eph-TRWCLrr-ao5~QaA!HMQdE#l1{z-=$31~s4hKM}{5<`-1 zX(ohBT>Jdyh?mfCx$nPKeadq_Gn-UPM!V2aPxTkNgu4Vp5Ejf<}2%Va_!z>({H6 zncAy9N*g6z7x8DB3iRB`&n{D6_-Mi}{a3FuFlRGGCzbj*cZAG%vOv$#1(|{)29(W^Y`Gu z=kPFupcn2Hya3nQkIE0w3?!>kY$uY{DUxP>j{lI)CO$~P*Mug9U&gZLaFIv6TJ?iS zc=X4qz9qHck*8XW$`Wf5UrjknFaxlha&j zZkn%}e&48G_|2_gwY;Jt3*N2r1xBdcAOqE(w`&eG2B&06(0Ih~j*TbZ5=ba4u9oX4 zX8-wzV}XLjh0Uv=JlbDJ=I}b7hE8_9b*65%Sk$CIL{M)>?;_bE!fQy@JG%#(B&g(p z^5wVUnEV^%XyZ+_WbXijCZI052CT<7T)Xw&(>Mss@E&mR9NTlZo(xmHWsO5@XWSAM z#$TxZxlOw!&Z8yaTWp-btEeoEI5(;2kI?}o18GyZr>rdcUz>HFeKhOv8y%+z04CX` z(TS0oLi2&=5@lT*C`=9=$Kw4PAPE0UY3nY!RC$jEvnP5u{0MIImM{QKoGyi8FcW<^ zN7gcsdohi&k%rma=p_0pspxBl{r9`bQI|hf7>k;faB`oqNHCWK0?b71F)pDXUB5=(@g81u3_l+y|H3`>n$e(08Z_E~2IT=Y44zVmsO+33!CHV(?6 zjTM+YLvTFw$EIlNBpD7eY=wZUJRuHkJHB9(Kb%gptjkndSn)5yJq|52g9g+TToHfo z)W|RttH87a6f#c-sv;xM=|jaAG0K46%ZS}8c!iMX4#Q8x-=2ej6B^;- z^e-;@Wy=;>!pcCgfzqj~2UGZ-qzY1q;usaK&)y8@jsG+NJ-sZ4J@Oz@aCOg>eE8w2VWeDN_cDhPEme%|~V}nZtd_^ZkRJ=aute`JQI^(o#gBGvd%k!99T= zOP3&qd#R!aM0qV?pdnxb%0L+*f;0p+c>o{P+5trihUs!na~UT^6}abq-A6M~S-5We z3c{KaKQ!ae`R@2YloEcvfsj(n5J}G6DOLzxHsekCY0_-p^zE5DX_?1koRI)zI-mv= z<#V_eUx+9Mx0Q^%W7JQXOZ=8rsEzVf{q{Uxd+mSdb0NmbTlrBw5c&2Tx2ZK7`R`1! zI&`VeSvmPe&Euzb?NWLF{!#8Tl@k(kX*)>$Kn027ggHoVrA~_lrKuF=x!@rgMRqhTK#tWy|*6bvJ;eDSegyc z1uTgyYOxTgfYTrmN~>XW+?J)Tnf##}@87Xw{EXjLd}C|dC#3$TE5ASwk{7(Ue8cwt z&wd|53v05{DDlaoxe$wiq0Qpndyk$y4}1+gY8Y9HBnsxNN#LGY`^evxLgE{oFH>1I z5*I?#E`xQ{6Iv7|;RYj>J-bijj}$z5aGazXH|$)vo|?$uU1Ulk;5O4vQ+yU5QnKz zDPYZmPo#OED3DNe#3hbdi{4O|IY(any0GWVKRh%;Ts~p~>h^QG)es`~Hzsha`yI6w z+vJ&KWzFx_EpFYtMeUwkeE9w0k7lY;@g&aOs;^)0>4xbsTmjtdeKu{{BwjESKyyXG z8eIhD^pbN599(_Kf{vQ0$=ABEEN5i8B9ns7-=iskli(MzYd`v~&To2hCs`@1fTh?Z z{{zYKk8{=(A^BGrEm?95hI!AKXMZxlBK!5TVz0x<6zrydRdL06b2ux)W`DM`>tirv zMa0@cD_OQPUd66Ypo>q8`EYVmq&icQW+5P#dvK)F1W60wWDW+i z`_GmGLUBwyPmsd)OzC=yK5<9#QBrNskl>bF`ZY zN@qGAvYHO0=Dj!K3#TV_JNGs!1ctXtqKcIi?iWOArb54ir!V`}N|9*KVF;5dpAnC9 zXkuLl(HeCr2pvIco34dV0NZQ&H2=XDV6c=%n{V9iv98e>=2pZXB~!~NsrCE(15&Ke zyS9(hO+*A7I%QbSO^|hq0JZ%<^Mypft8C}^GC)|&K_>p9=zly iq{+O$jP!#U6 z`8P-UKM|M#1)!Ef5+1TXyZcXQ!Or)x#Pb5bX$HN&49&N<_ok2c+yR^L%aW%eGWW+@ zI+~xejd}9`Lv}XLl!I%Wc$bNfJTH^Y3TP8)pED%vRYmlGaL9!lQX5a+A@{I2ckVFT z2_5ZFtE4YQTn5ITE%`oxqKXU@0*E)FhyIPQ>-jrYwq5j#)bx_&#|9iSV~z~iJ3M}T z!L~C}W5D(kuQKRrt$5ks1S~_(9e=d@n+65-^6l$3uKI|j54xt`rYk^Q^^!^xFWuBkCIPZr>IAIT@b_-$zvotJ>vg3-xnd z#aY=u$^UqZyl|(wNk5iOUH#g1>31>H%OF(FN;;|J?*M9t+MJ1bUrO{bNS_RbyiF8I zh0{`11zK?hWe(R^7JEuFd0ycu?6aroIrym1V-op*%4LcO3k1uSF)9l#t_c^A+P;x? z^JnwZ^?)1b_Zo!OM$!g@_?*E9>fm}s3?MBE<-tTzMZ=HDefxI_4N-`80bB^WQ3_rv zSG!;T2-lRWUqnoxTAB(8G~z~gZ0N`iK!GM-(|T7=qh#?(bC2S17+z38Wgs`dZ2r7E z*D1R=)MB>X|f{{wzP>hNQPZ|a|jSTMX;xcjyI{Td2aN0yW$f?-@%xH+_ z@7hSs|MLR?C@4w}h-pgnnGPxu_2S6srpF^L%~1Eq_nT?y&5G!&XtUQ^AGEhIZ@K*MpRg*w5WPKI8{4YtYV!g?jN1mS_3FKcDz;iKYNvX*~Eo1#lG%(LU zjM)Yue7&O7Tr{q^Y5~Qhn0Sn(tni=VANG>CX^FnzJ5-SNIp^0h-aUk>q^M92qU#b+ zX_QVwGvw-9IY0E~ql%e79zNufce9}vdk=E;hBiE{+*$SVhDSik5Kj&XOI0Cf20umE zb!Y$-R&;Dc+_YQmaj~AlMMi~#-qi1SEhZ_4v?Zz+@V4Y2=fFk}aY=>`%5p}1HtNn{ z>j2dc>_iz4y+20=o9RjQj8TW;I;;L*iY4tVslQxxoW42c4Lau|21p;VD5-lnUSK@A7vNz>htm)T9^`dVQgXf28mC2CCy?y7rz(l3W$)FjzTTnm_ zj2(f*T{qFxGFmb#yWue|{^mfl612t>=%yI`r4&W?wZz0HAQ1DPGSSYfR`t@_Qz`xu zNO&Qu_qaRSqs*k9jcZ=GLk=)T1bO==PUHQXJzzJB^lRv~$UC zh3lWslmS+f#3)%eEDKxzt(YGW0$ENUta>l!I2Egzn7bn{WKKOQ(d1|QtQx{Q48CK% z_~OtwcqT{hN_7K9Gi5QV3o<&_`KW%aM^ll~Mp#e(`=3E5R4;sYzy~9;*P>7Y037^; zIL{mKM)hyK&3FVfd*|FcEaMr1)8{snGios@dm7ifwgV4YI?pp$_nc&28V9|}SKr%WQc^f4tx!RE)8hXLTKsn% zx+uQiu<4`A2$%}!Ja)~wneHV)BnC+T`eDL_T}K?n3P}JU;Wy)A72{9&2^kLEh(8Ra ztKWJFZtB@g?6F*Ae`zJ}K?7D!4UCvdRV9HcAQhj<6BV_i)VcY*XVPr<8jM2zlLA4ZY zC)fcElqg`u3f0NsLlN7LmM?$x=f&(*LD)HUZ-ZF?zemr=JgmPiJNGO^La-eIFdGK} z16t4ch&)s;SDwAHgabrEYS1dnvlZG4Fvz3gw(?IaI}`+R%C!f~dZ zS&7}l{^de(=Ug5xT;|g<;KCTe~ zb_4m{zoXygP1z4BDy&|PH{2(o3Zq8(J703d7weld6_eoB^EMC0)A+jHotSGH)3gMy z;v>6nnHqfP#2ee|lJG8Bu8$WSGWM`b&dbZo9qz9;J{fDcis1eaI_a^V*ktd2w;^hm zLyM%evCn7tHZfhnWoBu2Y_l_4g@-j=DeX}R&wJFJqKNov;Gl;#?phZo(fK!|bbRpP zE>F4I4fXQB_2E{GpBFQ?-IMizTH#$gbm%q4F6PegAs(Wh0? zC$t2;%vSs=N`?39w{459FYWJeGU5Cp!|s*6%$hhu@>V#XWA{mB+GP8vUd;<2#r?nq zG)1?KsB6}q-Xllm=I$iL3+=L&f`d;cDb4+V5Zv9WkWt_%82w>gp5_7arJT9hN@{wE zsco-eN>3zn6>hrcKVXq2*3h~6TfdcHEmbuu^34~I(^16jd{)QNrJBa~s%`7mgJM8w zmOFf8t{=L$dPcb?#Rqa2Qvy`D&G?U`aPdea)HA8PXGt8Fb(f#&|82lYzgf*nK!rlU zMkLe!t4?S{W{Wbn(7m)Pg2IxA_am*LPchU=`1$gDn?RW!_UtXaoEFUZsWZ{+%h@o) z7p}`WmcAt(F`r2l2{dv$8P0vE@X#RFK_FeKbQ;k?iJiw&c1oX!tk19G*8Yb7>{cPd zyY=W!55nqFC{dLm_3yFuX2X$mj0*42BGGjqH)!X@bGIXpoC1otu=B2@$y#(K9bZu2pULHanF=~Co2fd9n&K%{mJhu>&VwQqE z&4>&!u5|is!XN*UNtil<7EX$^6Zy-={&=N1RBFbfrlU90G(JJ!lsB!MvzLBfa?j$% z1$@9{6la^MtZ?`N6EkKi=Sq4Zm$@9W1s|zpCl3tMufK|^7-fCC6V=?QYO9Hvp(G*2XFN&+lcZGGI_ zUXAUqsj5xf`?I}(rOE4Do)vTfo&`o*26_It>RZw698kHe)PC=P_78G`dzSy~$kAJ1 zF=9kx&C{ZPzNI&DJC!%}9;-^gBS+AQAkA_tZZ6Y0?C>ZB0M@y2ae);9;rX^lY=e_2vPc ze%8{~p61j)YLa*FNp~{x{`LJYYMYO_>}WZm^-qQw@19QyxO?c^fyi^ly z>ztp%VU(@gMGA75WAtbGLG79|ic5~(s#Qq=*cp&(p)e@jOR3y_Hp z?`*BDW%o_iehHm}ZwVl+zwnBvZlWn0WF!R#aS~!v)6Zk{RC{3V_X~dxtuRz?*Usvf zVr(x@Kt8ic+&B#;DHFLY)<4@KTTvlM0C{0I5@lW)8Iuh;E%b$g+lq*n`k!>*auFme zGLW%i#eTSOb#98PH#Pj~D{n19prI1?s7y8d!;Q!ynj8V}6&ZjgB+xE(FasabOeQH2 zz2B|qFg`C3pr(Q$Dhp^W&yM@}wwqfi@WkldA(JpE_Aq8HRI@!5(`L@hLYp!`A+vmb zI5_fK1rd?)1cFxIO+ce4LByJNu&y@w4%Vuze)44NBqg=a84nLN!KWs#yfMqf#5es1 zg<`iRpxmFY=cBXGeOgsq+)DwFHy2OUvsE9y`hFeCj9mBWY8yTp309PT7T!=(Ju^~E zc(V?#!YmRlr;l4#6Dt15IhL|H4JKVvFX`Euj!1R;1L4g^^abI6RD|(44>|?wSR8n2 ztJC!08Fgl7-Fc7dUVU#og3 zL68~Uz%e@r(rHdd$R za{K%HM$~pKd%V=~n}i|HEHo0d%U^dnX7!c#r(aSyQZma|sFWZjnOhqXTVK`WF-C-_ z$_m~3DcLT&2byUdAIU)JlBX-)?08u~3ahcbpIW;v*9Z37@451Z>FF0mG4bo7o7%b` ztvK2G`oNSgc3xM0XApCbOOE1b#Mv=tQBO!%5ky+##^6ke=QB=zG2;GmXOqjmR@rGL ziP}4F+|Vt!;4^RKb)!f37Ke2ncA6+-O=~Nw1@Rh3rjFb=+ZRBFu+8clLGS1OVma>H zZ~s_okq~g?>wV|9eEsLM?Gd+p>wbksU*&B z?L880oaEKH-Tm{=`j!eZ)(&(zem)~}d8yyT$&-nRYSyj=AL7`UHoNj zeL`Wxuf-i7wzzJYteyYt@?NA7!qZ(rDn09mkgO|PzFOn7W* z!vfCiXn12^HJP8mn(}g`9cbCM+rpEzD1s!_tN57^OKf(|@Tmv|Zap7;k4hOxRG3Om-EkeSYe$$4gum9<4cL8h@ep7w@L;zBRhn zriPpU+_xQ%7rTtB4vtPe>AmlqN+jaZ@b}fG_H2;5_1N~I#A&Kh0Fo=G`UU^@2mUuc zhvf7-Esngfvayi~)6%Ypc^C8+E(W&5m6^A{(eW&<{8|?8?>1k0r=DVsiMSig(q?=D zVH6NDfx<&zMcc1u?dj96xvZo72?hhUMnpsi*wRZwbhDf^B0!TYT<=9N~iVv+w(2sG(_S1-@L}H?R{17`tYAT7JebA5y}!a1s7Q9ou~LGLH`v-)24Zn zT(#D;yqWj-R;|{J8r`98Q%#L)_5f8x_I(2y&;j)PO)M=Jb(6BcuRwed8q_sF0sJo zitriNy%DJaDyg$ys~+9?)e*6=nV}D-xC|bB*6`i!kVT8W*;+e^KbO7Y@wI`$09(2< z+bHPJrQwczFJ9uH_$0~W^Yfj$o_M}{#F<6xX@f0)4oiBtqinMoJaE{x%V1LOPgRIa z`>$-hQ~eK&s9*O;h?frUMspumoLuv&w_&aj3e>W%nB(@e)4?y*5ZyaCq`aBzJ0niJ$=m$?>{GKV&z9<6+|H+uDnmlHeZw3hqaChjVyB(yEsIb4)7J86 zR$qq@>F}<1@7|r4o0{erg{a!Tl%`FcM?t?WI*!J~Iy|hbMq2a*GvzNDcHn`i1JoUt z+==ii%FZ3G@axn6@wzj(e7stm;L>pjcbqqGUtq<%Z*yoAZ`-SiZnMdJf8_t%#zCgY zK>I*~_+i@w_<0>_dL^C$x7ZZbPadF#+Dhonw~7lmo@v;9{OvZjjRr35C*h|hw7(dz zie7eB?Y-<=YyZN}IzCL4NJKypRmic-aF9vx!a$42Ptbx4U{9$U?0r>Sjckn{2olu6 zDn(hE5}QVWA@f*^_gl+HKAFU`nrCAZEIF(Ks))>)01Pq_1i6-x10w!+-6lW0cu3<} z^xLEcN2mAqjjf)lgYgg=bg0B{H)+yjZDn*$=%O#Y!+18!C>F>tGRD>U^*7&earNXG zi=mY}RjicJsm-ee^kO>OWVq%FYn~m`6t9$szl2Ce6rp38SO}!bA!2b7bo(+6m>>I^&aL~>d-mCiyK!^)?J=(E20!s?K@#-Ke2a=w@u2e6 zF$jctw?+{07QlP4Mm`3G@?)GI%snWqD3!@O%)LM?(heyr?DB$B6OKGCWb!HR;MyH) zwGKR*lsj5`*EP4=+l4oNaPVaRFKMtqRCN0HpDBO=g97M1dZX-vbCh8DJMnH|v^+A{ zd?}3+^_Vn&{(Qh9y(`b8 zJqov+Vz~~WNleKI-0jixHTF_3U@FbRm)%Pcd-eNRSN@IY2g7e(zdl7}k%i1A1$?Q* z$bpD}V4X1@V0fgVAy^Rq*%3okz#|&67DH}K`((Sz(HZaH^W-T~lova+T%1Z<6%6O5 zP)gE7hn+L!PNC`8tw|=;L|R|BGn0FaM?D`QiQhKUNy4ZD+nAsP$MiVv!V<9QZ*h4chk2GtIKuKaA=1Jpq^T}0 zOz(7f=qZ@>qfUm1mcu056i%{bRnC`lfR=s30rqn~3G_|4PFb_U@N zFeDrUd#Iy=e>k+P(phc0lwTZ^iU$==eV2F+O9=(Blr;dckb$r-Oq7Cnh9X_(drV>( zn=rf$4UyHc_a``w{mKPR#59pPbV!eOn9{pwp|@M65TGLdJWDWUZN94Io8Fs^5hO*G1~ubCit zhN`t6DSsUL66*;$duCBL?^N_tB9F|=&zB)SuqZLE3WJ}VZ}m746eQWBHrq3U0|RBP z%k(5Zb}++XPSf0H_lus*I27Hd5G$UZef(Fs|KXq+79j~dYcaNb z$cHmId$Ho%9?d*HXNc@yB$7DjIuLes{6xUoloaD8Zy5b-}=;t#RHU7-MxfWL46*RqKw@w=Z(z4mgzva*TP-> zJv8lv4I*r6aP$R62=Ps8@8vAD0|Jq+NI(I0Btf>{Nw^1_M4nG=>G=9|i~6@Y@e7yd zC0Z;}Tii^3i=?6;*;i`vL8psT^~8x2K03{GVfjvpT80lSmP?wqm~pS~HB%VLG(^1l zgaPW9eqxp83efVaW*He8I=4M5JkCI_8geVh#Ea4{JA*3nzsLEKyXGR+kNDZj31j-UyD8JRymWd09I`(LaE{6s&)_Ky&$CRNjc5Qk;kqB6M_KCZ? zJ929nS+3n>m6`wa=*oQra+@$N;g}rTg9p!6x^N2EbCllA{>0i`HA3a!^M`F0_eas7 zcPr3KW0Vm$L)=>=Mc0-VU09tua)o`?>1z(%_Vx|-`ywznnEe~Q`26JS1}W}UouQAp$Fc?{3T7W3m2s;;zOt8t*vv-!DS4@P&@w1YHkQ3FRk zo9QB&GQuGXHf4IqP)=9w1&pQm8SO>T5Ba>`u?X%&y^>3yz^gi?Jw4RCKY0ExvdtX( z>gd2`{rSzT$G~TheLkTJ)x8sh6s5FLMpX5(AMI7;N|8GGz`Hfgen0dEP(FHfxrrig zdoM;Pjw-rLzTMzEoLU23-bv|l_PdrI@fCo0!ufr*lUDUC_31Y|e|#>jLX-^FUH{J7 z#%BNWS1(`o&${5T8PH%NB}&Ze1d>I%)G}OLQCxaZ|JVMHZ=c$eUU=@uiI;21ArQ5h z0^i6Uwt?}TAfGW5#OLKi$E+YI%G4C|8O_#Th;v|8la%y$uWsQq6V0vT)P8{G#(4FL#n9;FgZ4 zsa^Z_T4G7VuJ&`AXph}~ejRgqUwuM|iX^W#-s__F6lR+%m`A@rY6Mz(87rg6n-j8X z#hd18+Lz_rq>e-KXGnDgQh9ZVIx1xJJgC>Yh;e!^hAn<>VAGgTkhIaps| z1Uis+sZIY+zWBnVzOHt9i0+ZU(BlbpD{->ik9^TS{BEBR3lVMS*&cSP9jvz3n|n@Y z*f3+Fc6Sc;x$~mRQ$r|!Hs7@^7rn=`D(-4Ae5dE8FK4! z8p|j(@wba6vZ69h`Kj78BRmGk>!!$cdi3bg#7&!6@j>kEa&(j?j0*@|WaDq+=MytnjgDQnOORevd&F-yLOMV05bXb5V!sQ4QYXiAfJ-)e=)BL>j*Pw6*-FjevQVw6Hz2a3wYW5^ zKfA6Z8c<8@;xgv=StO5rDIA4ckojC)&hN>naI;N9o2wa`e+k*-K24!WC+5U)Y|X1z zIec4fkY`-pz$n65>bpvB_*>3MYdOucY%n$_Egh4lYT5&3qbI2}f07QaWVK`P+1Imj zJT@N@$Qae+mGaTV)Z$*F@AmYdXzL_sguzWzFq}B5DM_S!QY|q?`Um%?>&Qx%UPdWo zCV3eaoTM@{O{B#lh$Ud0H!Z;t!X&AH$mO*5uIrfvzZcevzQBv=7QaMwLz;VspcL?6fKx}xDP|WkkCjljLeV{^D`%tF@z5}AFGPD zw{6vGYtzC@SNh&6UGcVXzt}guUS+?~j~yns4Mz`gY+>k~#0f-Lg%sBE`BvUDK*L%Z z=eY5@@kVO9ehP^UI=khDGvi+8qCUux`B22DvuXfZL@O*}Zb`@Bxa|1)f~1a6&D(S4 zNsbY<0s={fDh1B- z3e>EjjaJyWTZ5)dnWDpXV>)D(^vc{><=hau|8gHe=S$3%$R};ak7rOB`{p?E2Rqsu z^r+JV-kk^zUWN`v)B|~GVN^Yc+3grIG^sA)NE8W}laYnpSbb>~SQ8zDTP^Nrc}Q;= zY>75`MA1F#3q-dR%k1dL!(@-miKQ#bfs|e_{G^;7KWTMU zImzvmkdHA>+?GO+)=5GpgUn~q#K_riZ+6S}ORTYywnrSyTrRig8hwTgnIoZa33V?A za%t{cz8!}Z(@!KKllFWmA5OA}PF?J#rrnnd$6x?bGdU)9T&J7umpzhE2`ew>XJlr+ zl$n;B>R)a0IxOD+D{C*kx;P9g3on_8$POy&SFV3@mLx{}&CWQMyy(UK{r!1f+b}gr zcOdqES|1u5qX`o>%T0*gEamFes}A)XZ?$Rl?{`UZfdX92l#f6msS^|&+>a$HzIW_? z14oRA?U~RWVce0zHN~G(HHo`f8OSq`P*|m=qhr;CT@pbga0SY0r6%W{vCxvRr&8Z@ zH5b?209whGp>lk;^WPtnfnOQOg&)$-OzFO1F7@)<1q=2In*drfT`A+GM2Lk%qHlG% z-_!T2+|ZqNalH7gLJnD(NIX?3QWV~XLJ8#KX>4XE!MAMf9oOMSKreitI)vXO6J`*@0J?tJ)+*(`kAR7VklNNns|7LRC2B>9J3KOj1%g_@hEY?X(|ylrgb+Uz%4 zr~&UgVuHXfjF&n^uFd|J+n`Vp)XIs)y-_X#5w;egVgaT5I60I*|NOJ);3ZwqAwMMS z@@b?l{dlLG$TIhXl$INBxs4NBUl(f$*$w1AwN=mWGh^Qo`nZ1D+EW=Npj~Y*xqW;i za)UOv;scA2ds62<+*}evc;(r|w)%nCIfv%t#c}3xs{8;_BN5XosV^q;R5!7G(3(va zt#-FH_nJg52jR&UX5?h7_>8e@~3IvfyDd1X~VRoF?Xo2kLPt{-HY^_3_vu}~`NlHF!kpxXRa-0-K*&F_d2Gkl zafjcGu?4heFDDjLOYYxNtRYr;Mh!0s|1~3qo>daeAX4k9-u&8@=G*sh4Uf})c6xj7Hdh?Q!?d251bZrQ-@?X+FW5B@AF*45!%>-~nYI!3vKF%1(XtMx$%jhtL{h zB`2dQaJ`zg@r>}6Y9&kFwsKjpV8OOsj%!<<;xK4YLp)og%w)!gD@Q#gchd8i3T$g3i3 zKB52MOEa#zY-px-ZkXz33D#*R+^V{|x|XYb_rC93hmB%$nV;Oi5oz;_7yG9~eJ{Ez zYo{G>L!B%6ZX%bn@FtH5>zf#B&lO_a)R|f8&w?hQO>PstKdNk)c+$e-8;BS~??Wph8v+h`0&>P`2yVO)MdbypS{~ zDVYumfN-e#Qo;+C?2a19(P10jzL+pRp)6t8$Ipi%7<8`mQwAaGqU!=Bry750*@FulM}MdwTh*SnJ@hxO09w zcfE4nS45_zP!i&dKbp7d7YHI~0Sp0NJb+;MZ-(KT8_}2FtV!5&p`m$jnNn}w2uoV)$_ITm)+ zjRkf(x7OLN-E=2oO;wxJ4&z^CxSj}$J9*uD_Gg_28O$2{>=)YnQ=$~2?n->HNXab8 zBT{d23&<2B>a)cTLl!-(<9hL9Ak6N7cum_tH3NlEx6a{Q+dRb`eg9Z*eSfn{xH3a$K)=kgYg^*B%wd0S%Q5T}Y-_&#d13oU6>IFm zuccjzDk!tRRrS2zIrA7%UlzOMB+=7dsVM=pr_Gv`!}%}p z8@q72-uN$Y(LF3LH#=F{OwG)+=CWrCwY%*Fwod0{vfXW(c?sImsd6buRNj*$1WbeO z@c#R)3z=Xnz-61vA&*a;I@RI&Z`-!@b=cOjRjXFuwUc2)BvF70%<69W zXl@!LrOA`$aMyKCy{D820VNf*I3^jglH zGUCpb`HyAz5*@2=V1>`g{sl(C=lKVlC@P}m;f`Pq%oN_bWPHw{83zbuiU?n}lCBZY z)$DuYIM#;T2@d(BXnD-*IKSbUITtxc7H+>1A4e_0(|1^|)l`M_$XXjB^ z1UWCV0aM)3URlqiTB@4fMVE^>>u@r;hvw#jn4Wx@#{C_dHYwKZe$ zt+PJ#a@2Dem?CH;KIz?iFC9By)^V;;O-CK6`}gXvyN5vN*6K4(qN&seg{K!%niASy8H5Ul7MR4x*o?PC8BH9aO^PnC<-#ICWhs<`=3no&ZU*~CY%bi&;^o6?D$|f9?P1mF)!cwG z1HJgOT2AAaP#z&vJR+R};uG{32D#VBw%x~#%{dbw9T`uoOdcXPKkrgCKnv3S zJZZAUcP!VfTPN!(&I` z#&^pt*G3M@ds1qC2gv7JYOMbA&Kb!2MF=ScM95*d3+aiFUzB3JXggj;!!D(yPf1Gp zi$+Es%f6THi14HqzPWF3ucEaQ%Z7ZG6GNNE8|VidH7P5tu+W^IZODN|yL*MDRWnc| zF>lEn7BcK>zwBkN)mDy>Qg@3U4pV*LDgk2HM=B3BFa?q3Kudg;hG1Wk3@$%ollj~8 zIRIJm9Z2qlJVlxz>BB%S@I=nRLMt)M!?mKKaL1I1a@~?qIsm*nc!uEgfSzabio+P3 z$^)DZ#2I(IR4`@^4nh1y#%6qa?rzR&NRu`j&MYVKpY_mNMzYhE-sUQhc7-obOt}(A z3H_TlVOGrVQdQVEI)(vd&upB`@&X2{bBH(hX?7PaM z1Pel&CAR?6i%9SL4=-y`>qAJ5b^K&>q&2P zr|jtT<9c6A;wHch{E!HKC7_IybeXd0`TlZ~-wSN~jQ@)GS;P!#bJcV+TFC$SKPp8l bt5GM>(6RlMy3&o@#zCSx*@#g;l0(L@s literal 0 HcmV?d00001 From 1a3c66c2ac12847e7a04b79afd958e38a260ef70 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 11:04:32 +0300 Subject: [PATCH 39/98] Update student.ipynb --- student.ipynb | 35 +++++++++++++++++++++++++++++++++++ 1 file changed, 35 insertions(+) diff --git a/student.ipynb b/student.ipynb index 6fd305f3..5f8282a3 100644 --- a/student.ipynb +++ b/student.ipynb @@ -2488,6 +2488,41 @@ "source": [ "print_stats(df, 'condition')" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The majority of homes have a condition rating of 3. Given the abrupt difference between conditions, it seems more appropriate to treat this variable as categorical rather than numeric." + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(10,7))\n", + "sns.scatterplot(x=df['condition'], y=df['price'])\n", + "plt.title('Condition and Price', fontsize=15)\n", + "plt.savefig(\"condition_price_scatter.png\", bbox_inches='tight')\n", + "plt.show()\n", + "\n" + ] } ], "metadata": { From 4754e856f48c4b7d9948d775333feed6facf0257 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 11:04:36 +0300 Subject: [PATCH 40/98] Create condition_price_scatter.png --- condition_price_scatter.png | Bin 0 -> 52893 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 condition_price_scatter.png diff --git a/condition_price_scatter.png b/condition_price_scatter.png new file mode 100644 index 0000000000000000000000000000000000000000..4c155738d17cc8fc40bac313a56af94326dd0271 GIT binary patch literal 52893 zcma&O2RxST-#>n3hLDw!QMT-&WTuc68I{P6WUs8u$lheHkkzndW=CXY?^X6DWd1)V z-OqDB&-eMgUVpFqzTLR4^E%JtJdV%jy^hoGzQSF6Tq;}?3WYBtEuoA;q1&TSXi;ae z;5Q3TbY8=^o3@f_wkj5ew)VQ#2B>?www9(Awx-YZF4-Aa+dQ{0zs4oN#lvyQ$kx`< zMv$A^?7v>XWnuk{n?Jw!JsbqbQu?tC3Pq@k{Cg%#Eb}=E)s8D8A+G9>ur%uEtny$_ zY^|d$sfbkltS@V$p2~TnZ1mDR0bFxm%+@IZ&#aW@g^pMyL)#~R+8iw( z%~W#n6)UUnD_?cic+LR#SGVQxGz-Q@#_19z^nNhDdz}#PJeC`s>sNMTCrKdl#!lI6 z!fY6+q|z;kldqf%KYMiFldr5l6eC0@UrZ=0`_n(;xYyF0{7MN;$MWvU?;=tEzh9O; zQcoxrn2Ayq*6j$pU)xP&V{}Va{*Pd|G;poro8PxpzJcXF6Fns9bZ>RN1A3DAHAMdi> zzpoeB8SzX_rMF!k`u(9K1Q`g{SS$4mTu!Y@3YAQS*GzXn}IU)6lk`v88xi3^*st5}~3;JzL8 ztL9~g*s-v+wRN89U_s%Kq0-NvKXp1&#Fci2D;=-F?{6Q?_kFy$v9ZDPwE4X7R_C2v z>1w^7I;UIn?q{fByVgH#b(B{u*@0%#4#SPCLmym`3QraEV#{?)o(P>hHyV z!tRWF^^)Y8q#=em3YiLtmfiPmU{=lA3a*dZkLwN=7^qb_@gKoWy(A$sl(%LSpGa7>_h7`7nod8UQTuKx+x0vi{>Jp|t)$;um=rOhE=~hx9isaj zGi~ucj|&ZTC+l7-h48~oI7fLk{aw7YM5HCm#D?wV;mLIe9UcnHCK`L4g`Vtz@)sr% z!IO3s`KE(coe$QVSh>0H-n)mdUTpk&Y0317%kN$a5hvRL9a9)aj}+^HJYAv=UcH91 zffT%{GRySzFZSRLuWfZJGH`O@=T>guUcGwt_IBBPM*JEwgzHm{YNeK!X6roonA}kCISwhfmtw5WVB0!>rs~ zu|w{=5;l1`-yLSd^+AR)t*LUH5Qrr2DCET>(v7NiWwa|;_vbR->+&h>O zKGX~>EZ8a;^5TylQ!?L+^AdI0OR--aqY$#=xNbH?THxm5B9i2~_xv2KFhyBe87nJm z4K|(g`4X4RPi33A@oKT7 zgIO{C)v+q^{XZd9FbR;6hjHeEmD8E4EjIFUwMqa^E$tZJZ8dB08UT=&Md|@2X*VI_2m!I-tu`kqsl0`8IW39Ek+~Uh0tTd^h+Z{)GeY*LZZezwRS;aOTB}7oCg0Dfo>^UH6B_=@}T% zA3S(~tnmAAG4(!#({ld0Xho3vwlrEn?shOur(3MfP*RL6!|P^LT8_WSdiwhGS|Ztq z`W=_YsxBf!qL3u)*UD9K4w=jZ)B^51<8E{&{ht~u9XBoi{EEhQnW@?ttA~kf3H2*g zyV`YkCf*{?xc7?bXgL|3+X3&ElS{*O(VY<+r0WRUuLMGys(X4>7v_*!wX4W=i?P5z zo3qn7??2)0eXl+~v~b=TwJ)8CGvP7nyyUz+_)M+Dl(MC@)l+r>N;jtcm?KN27Wbzw zd&Wg3{RGJ_+mz;IzoLB2jB|#D)Kwoms5RoF7ZDLL8b;dDhYuVhPKzG}tbd+uhoAGB zSlQTW6Ya^pWck-((>0iV9_>pV5AkI+CsqE)U45XOKWOUTW~g%Xr^D@fxwfwETfM@;$nk@j z8!aVf!*wfg>&96{UT&+JUXS0X7(e7P8iwC|7%;v5D_o9C>C54^#yc1_kIkdKWLOUd zQ2sdgMEs=XqqSYjkVBEMDDeF$3=!V&MSk+3b5&b+5cb$1q!CO%N5v=o?b|n{67x|i zhjF){Sbmd-omNS1M~;n#g=`@r+iDY4j+--V*W>RwuGM0bJ&rXI60?|L14(S3FQvWhK|N4YRJtzrku(0r$e~Xp;^( zr|wKe!phIk<&YmloVMZQE_Qo3Ch7Z=f& zFA7-dG;AmCi8KY%49|&%i0)+}CkN%`#@d+n(MEKQMQ8SLbz*tj@o{{|tO~N+-@V*f z5kKZ6lT@O0JFr4NGPi0wE|t~4016lK<2A$YXZMab8~jLGe)ntV+OCdi4p!J(^sGus zq+=yS#ZDk)GsgI)K})1m#M>t@Y91`n+u%!tG?}|}E~G_maBG7;$b@^1!>3#xXP{10@X1Va!ad#;J4P=Y zq%K(0P8FP+3f;UClNED!rY86-lW_Kk68bd;{#PcNZo>gwv9HxG|B z>qIb$22G7d%U?8<91cy^`|v(%PpGMu3&$uN4BYGxqa$IKuL1DT^+~fLw4+gZrRI42 z3-t8M!^m*&uT&7;s$cCJt9lt07w0b-aN+gROTY;!(?mqsG@cb0_6vj$#l^+HCky?a zU(crGYEJ7;j=QIXAdoua>fCXS6iZ5_R(_!-UTwqV8UYUt_kIZRS|%6Pq@EA~Aae13-<%=;Sf*tEEwzDxdOaUxW3nU+;~-+h*a~ zJ?DBin7S7K#)$jYmaX%~Hx>_*7HFRJE2|y0yNgQYYP({ai>7|A)dUpr41KFz;b(pU z{Ny!gAx(exZgSP_SjcH-CFuKid5UvbOT(WD0rv_o>+cU!&Q~Wsd@r&*{W(1{k`z^q zVNv~1TRS8&GP1^1v%>C|^%;6u+;c0$3H^(hoohYYJ%L7D2~?elahfX$Htl}9Wh#Yn ziRL;o5(}2oK{xb(sR84;!DBvBD%EV6Jv=y9*tuJ@=$6R(an+pP= zWYIC)4L&zC!(Da0bxvEL%IP{M<+$BbX({48;n^u;zhfPuD5rvp}dM@ zxG89EhDJn?IMA3a_`8kbxrbi7PA|(rBV^YA2uDdp#dFxaf|HTbw_~<`sxe@F;e9S3 zz6q$I4DQ|qS1>U#5vm!XC`##Y7LyNy=y-dU zfy+(Qc%a;s(xhquyRSFV5iStgRnS1cV%2i}^GoV3yPt25H-kM+yI~5d9+IowR=!BNR)kdRgdBvP?lqkv;6OuB^bZJeVBsrLKw=Y ziWR}F)p0su(pNZ-5HSlA&N@ZrOUnpx-_t}qQ#va-$!*)7#DML&5J z7e|FmeOT0u$NO%_gye7$&x_}Qnus6__k(&dE|j&#U(wpZNc~E7-oSxVdWDWnAR!_J zrPKVS@!Kf#gxZ%{P4l?y***a_F90oY4anC7 zRKnXLdELgvNNry!U*sBboK2(x?4&L`<|Y;XL|Z&v861zyMCo;Cirr z7y19j#>P-aoav^JCg51^&}T4QK0SE<&|&f8XPy@esvsIv0?k4oFeoYOz zLsx`5c?N;!KzNY~tvCL~#Q|uR{ujS$;FYj?JdsHUVAUyY|My%Mx}>BeLQ1w*$3qZS zQ(?DU=S#!@q=a;%DxMuUVZa5>+sUFXYj88Cpb$2}U?|;r92Q&m*>|hNY>YKfK z(<(?H(3$-KqNk>(V*oLeguaEWL8*IM)+N8;#jVlYO|anCfpbpvKGJRkStSsej6gun zMvB1wLmKs34LV_sUcOGFKbgb+^5?D+GmY;FH%U5#Hv@T0aQuAZj}m0sb;|w7*I?m|I#(0Wi%ymDOnci%8#x$0U)l=3S|h z$OLfr*0ER_DZ8wgrVZRhc)fuHk`dUahc^|l{zrq1;fy#DEm_a-lro%*nJfyYcxDA~fx~iff1c~1(*d*s zlsm#sYuwKuY##)(xEBY&i|>9|x647Kwfh%WY+3!$k`)6f3#oz_Ol^w$V6#leOsT159Alx}O(q1?A)TaDW?#eVnEPu_Eh|1792d z%F{ugoSePxBWJm;c|K`HMe!FeL@KqkE939GBWKpN5r|SSzx+jXP2J~Ej zU4A1YBfk5YnVC2KP@mjMiA?s(uPS1%J*%5uN1+g@4>T#pypO=wO4q+$`- zK)5|<4qd?FnG^Nt4$W61WBv3%oVR}CJg{3DAUazK#AGO?rajkexFm*0 z7Y$Wo{#hU3-#yU~x1XOt8929eayO&}atK#O%x@sVU3;R?G^{~$+iIkkFDAS0Wq+Gp z#|{OKrPO^<=Hw%6y|Z1_XP`y~25^57Sa9_rq$8*_hsqJr4wLm_^OtWE!6yfnNZ*^_ zx&Xq31JL&~s0#s@kF*>OB1EfS?wIdJ_!}A+Oo|=#{ZIjC#vM#SXuFA1Ns*oskJ&TdOC$aWmpq_BU19mrMDf z)_4fog5D4W+#MUivj7918S&*Lugjhs>PmQM?I;4UjC-wQVVYn=-;C)Mt{|M zsi(JhvV}cYLR|ce;EM$>V8av8)ew~hk^X?Uv--cHyk^L^|8mZDo$&l2Kfm6`kK&BP z+uF)P+q%lv;QO`W?QySjE5Xz^i8r()B{8Eo9;3bQ^#{Ilecs_HObF_?NgoF+4|=10 zP{2I^g-?U_b{Et#M6N{|0tm91hctXtIP>#tnTLO(qM{6g?MZwUF79(@)9mwPQ^NPy zp}pMnUGfN~P#CuZ&=s4Tn`@vCtw9}|23Zt^ifJ=lp+MQ#6YLq&aS@)Q!Sf7rW zU;mhipCtP@<6W#it+;&i1XltX`@;#4Dlkw*&%3dJyGR-v8wVuS|FV7yI=f}r69gGR zX~LHYS6EalSi1AzflENis_mRDReEM-N_jc07B~0zbgutcVv#YPLND&on|X&Z+?^US z$;Ct^2w0)Lf0S#!ZbK3D^_ECgdAVRuPfyYA&6AntTPG7YL0}YfW!~O6JTmI()mXIL zQS%+jo7g8lNLOyQ=v!IPx1p|hArJ#t|GkFip=Kb&RBk&6^U_p9Wd@AUus+=smY7IW z9IW}^0U7Gn`(CWX6MMmTPF~r?@&;5@QgU*1)R^nO8DPw+E*Ah)qz*1HlNxLf0C?+y zriOAyZfkaClCkYLOl8dWF3=a|e(%M!pBg1SPjZr@9F4bIeziv5C{ON~#TycZY8Mln zoSaOU)^!%8R$*t>@WK{a=_@g@wmjW>Jwee^KS%C9oCIi|FnZ`Hm|U+w@O{0M#)_Nd zFom-;QbvO6tadxj>SjMgwCPu`(7+y3rgi*D)LcMaFuu_HejO$_3MFW_gh+VFeLI&= zs<0ppjuNi!?}gq{=rWU=e^R=PctB-F$golWCz>zEM=ucs0gBd{P97Q?5Dmn;uigMT z&1(AV859D701R->?ZQ$=&;bFR=s6U~`Hg_9LStk70Ga3moB!}nx`&pN&uL~Gi`jZcxETk(wx`FBf5KN^mlP=LaC;EjLL z8(7N}sK7PPl3lz(8?RlqV*t($GIi;s_eIOm7yaUCH>+Z^5{2x)Zv1Lhdh#R?(3CFp z;;ig!abx2vNE5B~#Ga1QFn_*YHwO+@0;$aHAeFEAo)35~zTlbX3niX*1i&WOj=@Wd$$ccl8(=Zu!2TiCtyZ~1~_$_6;pRez!?{_<2sH$y9K|9PjkHjETZib!2tTrQK&cqP|(5 zm3Vfc=_}j}->k;}Ysk6=YfeUt-dHI-^-^29q=F&V4|#PgJBepF|33$+5V=?!=`h9~ z0Rw6wHOxXK?1FadL{i@Qnf-%)EQbLBK}w1SK+KMQoV4N zP$}sj&^G;L-%2Yds7pymr0OFV&UoJEE&yJ;ift?Xll09Sn-9$sf!!)2FWO;z5mLJRhJHaF_XsKa)vI zzU@87iNi`$cG_4=HV!Awn)E9Y5~NrscMeD5OrELP&5~stE&I=AikML@$^_moBqVw$ zPA&*d_cj?ly`bjF{lcj8f;ZZhpDqGM^*T~!SShJrPkl?yby9JzJw1Osz?r%fl_^qV#XD zdImF=0kPoG{N9niV(PVwQoqw&!vspLZwsbcCE%z|krXqfSQ)a^_BDllzt)n{#1 zrYZ+d5GCsVy-?+|>4pgp>w^>e;FJ2P=&Tz{aoIkdDeog)8N&tI2WIyhUFSMgBV z@+|V7TatEwcNu4H^QTdl0lFp*O=pE=85R-i!50zbL6iOJTgn|RyWQuFj)M0<2M?~%B)7^N5j2|U+%QnKbDcm; z&(#3b4~vNCUa~Fn&eZt& zga22MIScUv`VW+3)vtNg3k~r>iLXxi^oeWkaJBlF7P0QfoHy_NgYTDZ5E%=)f;Y$U zRYna>&7g$^V`rd4&y zj@40sk}(197z7GDfY`LXTBdPasGU~hzeg8GGn+HKW7dIiVaQPeG9 zv%JrLFm3^9hPH@&=!u(u3))Ej({IFpVhmka9&f+R$@%iQ$p}X<5eonxh+97WivjjF zzHwfE`Q;31BcdP;n+eo@vA+e}YQU-OK1`qSJ-JmQ~>RC2pKCbM$_1qJ7y;zd7{s z9Ejauvn@#Nw6?V1Rvv*e7H1pW`~DF+YRgFk^lk6FeWPM^(hC>RP*<*8K@`>-^M8p` z+uJ>_E1)Rxa(&sI%G#$9brx7F2XezpH@^5=510|ky|PkRjU!45RIkq#6TiV1?#k7! zj_J4q_2kOQ8n#-}A^R>xBQL06!th(?n8}~87u!A`aW{aFpF`!Tag=Vfu^zvP2rpY2yf&j>Ho8)?sAk;%XXoZ`o6I|DVWCM$KR)Oer5Ewp zRL0-39U5?xxfe|H!M}8Lew)5ff9SC>zEXGIv2v=?u!zKMEPEKZT0HJbM982PvO5P0 zS5$O&0^NCUK64j@sr7@+4t-EHd1>U{AO4yTC#_dSa~rHt+YV}&Rk^RCZ_&rA{_5d- zarHP#etv@HtF1zz<$1^9RI%s6+~V$G(d4|J*2aFrO1-TuOG-a_2WZS+rUJ^;&6_tp z+~}@8J&QO{NEm^@2Oa!hy1q}E7dQFj#4@`nU$`CnCb}(a+W4yGJ&ba>UF?&^hFsBi zCwzbbClw+pS^xFpTwOP2-TeQ)s>whge2e|LO@Oeiz(Dw*RYe6#ci>)GWTbY6lpu9* z*8cD^ewrB&j+@IR#6(IP;iQ-%Y)n*cHaQ-;aLRj((55 zrlh9k`*NiWdmNPi1{X#AFEB?FVuHD4h#>=kLV?I1L_umkSirPa4lV;PO|q}=oGO80 zk?O_<(z}(crM(t&7d$HfsbgtzYk#TiI&>D*?%akJ(%>Atm|IPItKO-cP;~dwl4t>k zK8SxPD*xDPAS$JH>;6S83X1ek+#b-4-~&U0AQ{S?NiIqUytT{wz~fnx9MFL8VW1E> z8+-`kA2)}JP1I(2UT&Kr64d2=MBzeIWt7fHsTGKg_YMJnNaV%PbNhsp04VzB@b5A* zra*i5kxKJunyv-ac)gh+LBaEf@F~rCN1tsNcgpU=%*KJ zqO#MtbH&kYzzpz`u%G4On@FR_(yCK`NfR}zZkSV} zQjiS5t+oCOoa$bKh0pFp)pvX@9yC?U(>Wt(J7)C$|B!w3(7@~47jlo`Pve8 zA#^GiK|->Oe)pgGg_G}dD>?Hb!XvRXea~Z{MMrY~fUNMdFQQl-k(y0@iW(VjCo;)u zEmcdb|0PfV`w+hAtTDiA1 zVJ-YxLgESw8!iCc8dCQ*!eE;7@tsj0hAX>T+WX_oB)S)W?3W zbA3VQM>fka`(GA8kNOwM-0XkelXIzN`UJDWI5_>AR{AqGW*g+6Z~!JlFOOoDE7{J4s%Q%ixU^?h2-b&w*L)p8w;TC!Z)`7zC~ZGGPoQEfj6BJF<-^C6%eGv$wm%a*d`Q+W@n-Ohc^_odnP6 zY7K*+=Ra&v$*0oPWFR{hh=*FBV9jj6omSse8;7T+V=qYK?P>5U4*M1>u4yoLQ8rX_ zA@s_~SyY~e%vF83N2#onCy&9SF&xIUojUl0he~C##)t|M+C`K9Cg4{7E(piOvSSoB zY-RN4K7EDs^yb^3$397#!>K{BKz-1GJpWzU^#9G=qm%U;N#R|B(ccneAQJLzVio{zMjH4ENG!Nf^lceYRxzj{ycF_pras@Vlvm>&)(F zXmMKf{GClG&4h^f2~XEl!?H@=(|eA{)EeGa)%g}@UFrhd^T~gTOW$52qZ4-P3GGeB zyv^Z~Of;@fkLf)?GdkhpNn#qzt(QZovK-rNZU+TDg6Jan$qlo~Zovqj11B5u9nJ0S zUngokdBHye2;VL03U;#+Bo4a207}03p>Iv`6U=w2X>y4kLRclFIoKu+5ycf z+Y`VJ6IOFk)aWjaBUz1-pUU6@v~kR%-Vf zy}lbJLSaU#d~@P5Ttu>tj1A4BkF;H0Bc>Z|2sZRD{jY(w7H<0*h!l>Pz7Ib=@q>Ik zDcB=l0Tw7ha1-)>*XOA-v0h($)-GXgZr*U%-QBIYSaBY1-nB*k=8pW-bPii%!}>TT ze3G2d&K}VX@o(%=%Cr{}2lVy9r6HB91rvn!>=NP@$Z?f1=7~UeMa0*c_QZhMq?ZJU z+X7&E9cUfjyfFB)xRtbkc_E23tT*oA>)YH>ZTS2IS2pp>rDJtTiDu*zM${0$jr0M$ zg`~Vd)<(IHAFkModyHmh$j81S6gxPN;&3B?mEMhL^D7D3^VsvgUIy3a)+RI1o4?67t%*NA1@^luI{cy|wkZ4Y z9=!7hf*fqJ)(5Y_+M@-F2?GWB%t}aC@w(YT4jh?)XHYQlA$o#Wk<2KA7iVL^-+B>IZP z=sphzVd7o5r9=u^L0aRGB8biPnOzg_-VE1^-gKQ`rYYUe(4wwo&;@w%dUfgSup9Y> z)tZJ^Nl(ONZ+D~SlI=li+m$>1m}8a0tRzzxGSb`MuMgHJvJy{#DY7*oj<3KD!bqu= zmDJ&ky5Pf8@ajo4i@tmJuJmwwSV?=FXJ{KVnag5g$3?@Ot)e|W0t)+^oRaT*FLAa7 z#!+EEjlDr~Vk$|oBx+H=w@z`WKgu%^9eNhi6}K2AeIIn@?xdrlu4S8*3gYL?%a2Wo zl$M@iI+zcZoG5~E z9fWDOmWOXFi6V29S6@oU3yD5_g*=_xkXgSGBLLup?O6?V^|+g3_bv&V!Tn%namxX5 z#9jNs&iKvB%=^`Z5}AT_c~_?FGKT}c2S0z7%`b6pb2@*>_nmNp7G1l^_yWi0oae;X zOCeB0!K{!#5u-f#NmHouV52opy*~3s5F_NnDJdzHb}Eo91q~#MHJ~{_=IA~tX1J}> zWK~CIO2$`L^<*;{>OYrGY&>OBroS~Af?nle{3Vl6q=jaAJ(Se~;uH)jylN3^kFko$=z> z_cA6_QUPurC!iU&=zddE%i*{2<3sUpUqAFqe2dDS{2k*(CdWqDwQo^(DEI*u!{-re zxl4JQ(Od%E9*N1{p5j*8RWRH=hILo{RZutG@I-It+OT=`O!m|Si2kN3ZFHneJBcCd zc$Vv}>t&?k!p4%bS{C&x9pFttg5SkM zhKbRDB1sm#!iHo}d$UOa7qKy(T_mm8y4J-_$TCCr220bkcgvDq_f-XKI1=8S@bu7| z221l~n-Il0Z$lb;#D?E<0L`sQMNy=8?h9x+^qRc=W9nnBwg#gLx_o10WR;< zTOV4%<)_SVb~MxtIgy7qtrsjK!;#s7?8F z`9+-}*8#EO__gyFH0wU*q+m?0H4_!$3kqM|=f+V~CQXkmYF>)*URZFN>>o^&{avf6 zsfmPvU7HKep(t)zGt#>5PF@glg)(^`q%4EhD5O|GVEk;7;|!%yajlIx6w4r}9+;@k zeEqwDv?Aq=L*OQTt6$lwn~y@wfHZ&~ZSikz+hzKL{Df+V`-<-$%`3XqfsALhyQYhT$B+*D|F9a7UI=;B zp#tqlxXozLRO1km7rk&?HwJ0_nnizq+!5!^HeQz%*v}@RtE(%&Z}{}74wPbKqXHyI z@2ji(LwV+YDh4M8d^rsSi+uhh5G)=6?ctj5IulEyk)~nj)LHc1Q!Mf6Z8Bmi5;UU5 z=p4_AoSdARtkKxMGMi@{+Fz(4r=?bGOa?6{2qJNyBBw&^35k@!wt@@6h<#QF-LL}J zNpEqiC1qzgGv4an_~wJctmNdcaN+#<73@ z!2`Ng!&{l%mqbJ)Uj)ebA#9yZrmlk}L9HM|m{DVC^OE?}Iprh`PyuU*a?@-;vhA=8Kes_fngSW?u4O(?t_XxvVk+UIi;> z=(hx4s-{y@kt^iJKj=>Jr>U33I;k8R27T8lK`ronkoDqQjuY$K1%AXC@%uXI@4UHa z`OV0nQ)!d8Xr>VXReXE`ekMiViZj&;-~(6_kdKMCKkJ* z6|bT@fHZ;ta6A=s@W=`O_2V-4?zO0sCXy~i(NA&XSGu#*mNS4Q?&%)qeLvTV%!tRe~aj#H!T{FG?M(FOA*D(9hE7#NG zOP{XjZ{Kgl$-IyIuh%<^;^bCV%EvN}X59d7V2DA+Ms6 zwNayY^9^>o@`f#FhG!HE?=lN3j+eExq)70=od(^;=Pe;yuYK$nxVFg<$i-)Ru?wTKfz_oj>J zE-4OoRTcWMf=o_0@J~$!r`rr{JkJHVBN}G9jnrm?Rb>bw*7?WY317XcoYMQ%ZuFTY z3oG#alR&}GZlkq>0yA-sL~Ss%y6?`eGsk){PqpzXaR6gY;CUzP?ky_JsgTxj4`*d} z4niK%m+Yc%n4Z#_niahgabohtk+8T%<(50PPi#)6r;`s$i`}O(2CJLGSMBJs>S8Wm z2Pc%UWm_FA(7rN;xA5Zn@GINDqfeQS^7lQ~;XmE?rmRaVOWjQANG%3JV5*?6&KhV~ zfqr0FTA4T3@a1O4&o^h^3GdE%A!l(RjVs-~3_0ryX}dSbBP-P(p99rE?5XkkU;W@C z2ST|1>3kT0%>rrj- z3^@kUBtb8;_J{OI5`xKM$kYl|!T#*XL{a%krpTz-J^RU@W|w()mmdT*M%1BAM`IBB ztK4d18O(;$b+3im3@Evwj;p(n_2kGQA`jvQCQ@l;EdDH#;XIFOl+WI)9mhtvyuj$y z7J}~Af02uf2_7DJEr4<{o!pZ8up692|ZR8UpmTb82MkdXBU zP)N`fW6dlZhdbfQKMgdLczEzWes?M|X?$+Rm|^U5k$Pj2YY3pzZOGFRx74wj#E8zMPk7?y3AT_4#vlRtj! zTM1SH{iJ)>IY#ix4b$U9!7Jocbl1ouY8Y_B^jb@tB1LIU!H;W)wpY5oNoT7gmPfkp1l(DSShxb1FYi0&a0tDl!| z_tnc*b@)VGv7u*iJQ^%6LxUscU3j5Z@#{QHx!1!!nixLac!e@P(=3T6zohF!zb}A$ zTcYR30ggvqZ#f<#2C=gfZ~q96zsYH&M^z?#LdhMp6HjxVje?IcSFe&g;h;d;viwIg ztV7}>-M93rnaI{;iD$S7tBw?C-r#8_>{+VxjqsL|kb?L&gGAXNabknyC4{%WSs@S% z*TykI{&obUC|rAefCYfOi^sXomF;eX;}J(ZV%2t{W>C{=51eLmCf3%(G5zFlNCwW} zyVz?fv5}IchqG+3U@V07UNHN<(6ZHXx>SA>C>EBGG)B}j+;tSVoc!wo5fl08edVPr zhRhDBqFv@^=zCd?rxIL4R=;sU-v2`a<08KZMNBLUCHS6qPqyN5iuNQUFZBR-g>L9t4Iy0$Ffi%Z|E3;cE z{Bj`4dXCP&X6ik^YDoOrpwA>MSzl7-@f^DUN&bTq83pn1)HQB-iPO+wW&D{$1<$Q5 zQq@QO^^3o5yDF0dJW6xQC2Y!}Mv5!ruug3aM^Oh4gJhH64Mr|NNV!>jtToedO3D|* zRxbb3VrCH~FznWrx*6c3OKYnUcs6I&uwok!sKEaHb^Www_wws+DV~pWJsLnc4E!6h z33-G>Y)Y21-J96!Q{W)k*fyxJq5rKX^hT!2WKDd6EF!YYP4xJ{#`*YgCvSKea+H#G zcGqExSs-9z$h-3`QX|=W*tU{y(0T!)!I${?$;h8row3Bj`vo^c_FzOk@P zD&l4${lq#ZFgGDe#(44##9B%?pQ;}q>S}h%G4uDh3VxHmiCniscG%W&aWoUzrwe;% z%k5WP)n}1S6tL$4|1m*wHrV{;u$_wB5;64p))gD!UY_*Zr#pK*%kwXS%#&@#Ep#X2 zgor`^j3LR0#O^#lagY7`uPu4vD8;ne&1&4G17zij3UYHXILLgSSpgfU4s0vDkS6ph ztq{1riO^KG#{2I2EPIW7aHNxM0WFnY#A+5+m74&TCJ=m_V^h?B*3)N&D*CsLiT2?kv!TA4r zF8_7M!=(-S2W!vQbLh%cNHJmeRy}NVd)vR5Z#jAU2|PsL@_t*Q5IO8zrAFz%_I`(% z*k^j8cYz%tp=l5gk#m6k3U_@7XkKkQ!e7_mVGw92!|yR3@I(W?X$`BN!C6c|ht+w9 zFJ(V4NW6G$#(8XRJ2M0SmQd8jCGiJ6<@aaTuE%{Wee*cP?qj>_@x7d||Eb66q6?uA zPf+w=?M`HL^fc^we>G|z;&`a3q(qeS{{0ygY<*UQd5MA)CpYpO4rKNqcMsXDXvC*? zcN@wAGxVHdJt7Gdie+9nRA#)*pxcE4^{3A_*>1oa}OTDO=e;0>D#DVrA7{ zfm&;O#&QXO?yh(m%^(KmLu?%dyWRrIp47q;L(fe!7=VpHoaeC6LEChN{b}765c*`| zOqL=chMu7EYKDtDNaKomsv2v!R~anML!o7Pz<<*UP9>dGQY8KoN1}vPIvRe&?4A%M1sn$LKG~i#Ey!&Jno10%>nJuAb)^KtmT6dLXecCs4}0Hu-Nu&fu(g_$E843&vXg~q zsDiw?0m52XG?#7*mS*r=@Y>>8mL4ig? zL2;o*o)TlK?1%PoJ33P?oK!@4hsDg#U|iZ+6qBES8##@C<w7KD~F41QDrX_F^v~SIvXZk={egH zgkP*s*}zs*`2+#pymrvH?2t_hy2aj#9m6pyh5CYt?OFT#cbCq2&yWj{X3rJ;Tj3J< z;+tKXXih08l1UX2^IvI^>Y4Tr{cBG0bpR9Fy`S4Vz=HVwXsItT19@f#Y^)~0utW9| zYq|V>0Q&`tzctCq{4p?2ub=cSuO1!a8R~<*K+MSj@Kl(ncszO~8Pp2Z7@p%`Enzn> z+)@({w!#ko&M3&k`ts9HK1pXdO(7QC$#e?)SeUBZK>EIobfU@HzDYK zb&z<2m{v-^k6TVTh*UL;@OTow#Y!ZoT@-3LyOtF5nVyeqCo-(8^EMiw@`m*O1)l1x zb+22{&ufq5=({0*6VmQE`s+2ojK*}&#w-;{9c;$txC%~Ux<+s+y>l2eBT2wz}Y}DgNkC4ZqOu@r-YGGH!eUJ;q4kigHATNi~ zIXd_Q!Axw}zSOg1Q+2er=pn%ZnR>9aaGrh(OovPLD0YayVS&hOC_d7gZjfhrwQUAF zzGxjL&K$r4DWo88C>2EY8r0&8$d+#?C;7JX${#cRi+v3Oy zLSVNtNWy2+x+pfSpyVr%iD)oC^A0VQ2fi1l8fq3Q-KK7;o&oI+d1%K?o0*g^UugYP zG5Tr}Tjp(%oqMRf7mE);(xifDr_e{6hYub|aw>L)BhB@LT0YwA*RPQWO+hzMR#py$ zhh$;XI-uAeez*mgpk4hX+?I7C)X!lgO+Nf#L0eHAr)_d0MMvl1fS^4RxV4l_Dv@DC zOP2B^A>g)K5etq`;C80^{lt-p=?R7%6+96^oRp003@T8H0jwEIh!akGVAHyTMZ~L* zg`5QPBrAw>A`dZn!bMIhDGrDcBypU?;5)xv|4$qoas31bGeoD}Vt9T#JZHDiV2_k8 zkhAntLKYJslJz;c`1?FrCemynQytrr>weL-aYI*eR(;zsavAy6amC3qukuk+vUM8k zr5Rc==Q{=%g$gW>7 zP<@CPq>3bLK$B3F%j}(Md@~H8<={!rf>-9j*ok~Oqi)baAlgPXtd#Z zBO@0KRatAv>$Zo&(A8kQl8D+E1_bi%$)V!9Frsvc z%c8-w(T?nio5s_h<`AWV4Y!_H__qxW4ZkNZ{&)JlI9~&6GsoHKD zj3+)1Dg{R8-q8{=lHkyth2Sn{7byrT59BNi>MF_Ji9`Grwvyl@GAek;*Qhl!DTWat1s+Hj5LXJI%l3@slh(<>G zBwtX4?Gc$xKBP36C1EiMv~<^31^wG9g1tvYxAy`NLnw;%oiN80)?Z!pwNQSRPqyNL zQ4Hq?wHCbz0wuC`T^X3Y&^(?qZ5LfaqEqRHRLO+hQor*+9I>F}yC7gh^s1q$G?) zsn}4W<93Ws+iX@|FHrazhndDAd!gOE(S9MDcL6T##lo(*5t|MXkLR)A)VRp;y#`&a zH_%D5!PHZ#YS%=R)sgb|5bGhRbbhUwT{ zfdjrakMivCICN=!c(@w0&O35^47$w)gbyD4UN^_G6~zD1t#V&elQ8$uf#X++OvpF! zTQ`gL^u1iG&lfB*J8X>$0Yyci+U1J+I|?1ck37UN95O+l9{;$i!i=+I6og0keLuBp zxiI70t^K0HYC}E-2FxJ}y1=4==?J);`tXoF3djtQO5z+$6K*9aut4^5!Ufgb(a{8( zA(4GPM2FFeXJ|Fnn64-Yyc)|Dn5@yq`{EUHqlr=AV`_?h3EA>cOjpJmBIKLUa7#_F zSCjJD>hP#2Zz!xfP(P6(1%YpN1e0eH5U4}IczKwdK`O8&Mch+;V+*={u; z5@m<%6+(9Q-ZQhr@4VIfGrqsiU#dr5^S-a^I*;=>o~PH|N&rB-(9r;(1X~SLhcNUW z3H*I!l;JlcLgLkX;JaqMhBU-M1isn^;?+%1f#{Vsl}+KQg#NfWbjpkVT(wbUlFuBl z^;cy9c9vYcrA9N{zPOF)4~sr>w1SMs3DM7<%m*(2Hp*cffw{fjI0&_k%>Y?N6E8J^FCU2IKgkqZ5&IFafXx-JZc_jOE zn|xLAE^kHg=sFPX#6=y(E}#LX!|Xu9b?GAbL%?IQb$T*+igW;xu&H&aHwol+EqYcn zP?A(p?uZ%$4Wv92n!g6maWavr3241~+ip3OTweUWOhO>nBk~%C1R5t-ejT)X5M6`S z!)M4mQsZPdM`jw?MJ*a39*kc#iBKszJ3H&1ZPpwx0QqP;-u67`Bk#nB}KMFDzVI&>N@X?v)90f<8+y6!EoNQme)D%EJ0}H&YC`(kz8+5IG(Zf^zBP z;NCrmTt62U(m@5?BgJ~?JRsG?i}%zucJi9a(HP*13TY>?v=IB@MqHwd2bo$zm1sv` z!8DT%AI;CrO#xvH;Uc|&!(z$b*V|>$ljYI)p=jhhI#eZ+*Aamv#w5RS=D=;H#n+(X z>9B(1wHm<`*K5zdhn#vJ(mOB?`u|CI@!#53f9GFq>(XIz6$Q@5@#-pszz65L5d#b3 z(_Lb2?uPD1Y_JZq^OsXvV&@B51rv-5_npJJ^+n=N1Z>~+^ZRnGa8q#RjQZCDBB9hp%dOGZH=LXK&OYM3-6u28u=~tTwNHS=~$gJ*(b{Y>XH!&{2 zO(Nb$2b-cz65-Wig6Im7Xm-}3bI+(fzu0+ndx(T_S{W+Tmoyk%la#(TZUX(R#66l@ z5O>03(?fjaz*mBz2Od%LO+zN4&|fzU{n(o_J45grWhK;-XDQ!%ME15<+#Nh-BKe>(Xtt>7Phfh&M2-!xPJIMi01{D!-YrDFo1q~Ly9U(hLnP`e+wu7a)bn|LKI% zOYq?j5daN9XdBop@z%J=l|3-RBH(1og-Mb$G90yDx@LOCihnHJpwOYdGav=BU^K|3 zQ;b?&S2pSmP2}OGYOzD1sv!5DRaA5l_6w+qklWT?l=cklCm}&=V`GEn13)*4!P23|^lJ1WRO^Hru&#-ef{D^7#HP>jmm_TR8*~42qH1W4- zZwUQV>99Z($U>orSA+Jd111{iL|N68RIg(j80tp8~HZL$~5%)QCzy4fI*S0oGlhCTy2-z{16OZ$Bx>{#wl8=ga!L&VrM_h;d7PY5wjYxj%0y9wxg2g5SvTjhv& zIW(WDz=Lq5{9tpEf|t4D(+Z(eBf=?UV?a2)9o0a#X}9+0&e7^P901s=zyUnt7M2v_ zpll?q5OQs2O}B~hC}Yl2!^b{Joq_U^eTYfPcWl%N+>4p#+5OM-gHezV1gWXUP!*}# zs`O`j!uc9e0L5fb%2e2W7ia<_OUf=1cE1ua#BqP8&8YL9HcfQF!>?^d9#4f`Q`hDE zgcZ0RUqlXrHmp3UTzu7G69*SM-}Q4i zk3O6b&N?g+)|6pG!|F}q-d3CR@q<10iuvSJkE^I$ZNrEcu)eB(ZLpy2{3w?nSao03 z&`U)wMPG5ZTZ$6uGmH_F$aL3Cbsm=8XjbpEDhf~U9UwHFLm*EdfRBR@F%v*b*@ra3 z1Dnc_C~-J4K4=iveR!yhitEsr7z}rLDp1g#CW3UtYElRx3Pmec~)frRAg%J z)@|bfk|3mJQKi9InqXte1xM1CE?j~H*{HgI&Ak&mkvGwr11@t(O?sQbI-!bKf65i) zG{c%nJPP`pUc;;EUH-l*LM1g!5&e-548*Q*~|G(}$=j2awKv zhkzI3rbZVH1u<7;&6xoMtOytUIAJyC*n5b27wi&Op(X1a*;b$-u$ zrOhaIBVS%InXAaE`{_;8Nn3dH>YAZ_iSOA`3MjXGEZ1AALuN#mjY0T9V+BVZJXrf^9J8mvr# zmacR&_PJ|UVw&_;U^BWYjR?KdyAAf=rw`AB-uhWmfg3z8Cr}yOt47K~v|HaL zB>Yy!KwqeE@z5NmXDEqiY%Kjttig)oBN>Ae1K*o(X_=hrAD))OHo73nW(L_4TWRQq zu^434r&^Bs0bBse-t35P{_%NpDq0Q-4ab?^6@PC+0Dy{BgO6RvlZ|VxJ~{mqJ%yj} z?M3K}mJT=dItrQV&L~pIaxgPv(D4g^P2H^XBJF3(Z0xtu0w?y2bll3#>g^!pj!8D1 zzf|&V98SDZRKuvcR0lCwtweSo=3v8q>JN*Y|M&L) zm?o|@Yr;e2XHP^77U08))uVOAFM;n@+GGZ2 z#%PmOJ(iQ7+MaEF_fKmz`PaxJt%#f7#5D)smKhGn|K+CW^+UjJ!y9+2<=v*B!;%6T zB)-j6U+6GAC<%ZhB@$_dkS{cafMpAiLPtt8D|mj}YuzSrJY+J#aOZ9rj( z9B?CLPN={-?aSLCI|>xc4;3@G$hrcIADiVq$lc``)-=*vR$+4$G`*sbZ&&lf%rXh< zE~m$-U3i&fqGHNnn?|hWnVS3fb=uThYeSKWQD8Iy8b=89Ln5>W4uq$Qz=08JE~4`z zK6H>U)I|NELN3iz$5Yj=M~Zh?4cY9j6(shzTlCN7-7cRJDBla<8!Kq?j$AAcT-8-!H~*eRdQTCP-t7J}%FNZ|+g zkzpNmoE>;gNUe!jyH5^VWkgr+{P}&LWNB%6^Ec8>0dMQ=3b>wZ!%gyKCpYLFWpf6Z zMuZW;*h|BP#kW!tRZQ?%QWzhM41TIYD_cXOzorA?MsFx?oOs=pp?XYneM?6Ku6lZi zL<90EXmngKZZ0#7zaf@O7s+u`;n&|t(8wW0cvk?5j|9d@2Izc9FA?}c{c?-ydywoy zULv3KdqnP~LrUMY4~A8=ona-MgdnyNj5u;Mgp+O1&Wm zhS2kof0caIR?3}>MBM)yFSRxdJLxlrLV=mCfYDJw^%!M&8s)Zf18p6KA3;AK>RTsj z1z^Tsc)VdaH#7~24XEcJ9&zO+yKZN?8c=`$v5BXk?WfqHF@&&QAsH`uG#3NpEI#qB zzR53e=)GJ7>CMY68@q~Q8^NETvLnN(a5AOv8uj~0xLao6G+W2Z8NRM;`rhS$2acO| zI}eUS^ink*6o32ELi-5QPaLgcs{zjm68^Iw(Ay3={W)fFN4QmCbciONx^$HiRSqr; zjjZ~25!j}ysV|}Sk;U=Ve<R z=|GzT2e^$sEo83=pxP< zByto`1|kr~IZoXgi3f8@YP5=6exAG8Vcmze^3oe#$v6c%_-)FUnI;Db8?oIK)N6Pq z)LCs~TNWFkOW)Q(_~ksTe?pJ-_(lA%p^SzZ)J5;@Rk0~o*qI9fEI#^)Jl?JB z7-;{)9YTI;LraWS!8AQTL%-zgV4YUwucR^a((jd^qaiJh>Y%mYgOM`DoKkh#H0%Og zMHx=9ks91=sXsPZql;tiY`mX~PaXNr6g9ilvbHv300tpx9mI+N7yyKX51+CS-0(0L z0uxId*;Wt`Q2-w042*q1u!cxS%~c#&l_iatIK>_2K1p2c` zuR$aAnlBIt@!_ivfW`$BWf`2fAUpN0{akU~PV&;7jcq)CM#e!8Y7G*JS-K@1e6iwU zix*JKWYZeM3f<_NZzD4ANziIlzPYvxTaI|pRaI_JfgfO1$XKyU6QnMIbLN$~X~XRY zzqK~EF7Zk2&!M(^n4cSiP2fCQg%QEeTzW!m3f?=2x&r>=*Ko$@S#|~3XTZ1vHriSJ zJhkWL1W|AW$uGe0eS6`X=xHUJN(0a_1MjC~M3GmA4 z`(jtlNN8O)`!*8)Pe!5(;u#1U&D`zHFOQ~m!W>HQr2RUJauVLYr8wr`4sW7DA4^>>5eaC}H7R+6)XYS73k<(3(C7a(Oe6{Y4lFk;4SMn$nin!0K zF2&(94kC>~TL<($DylR|<84D0i<3v$WznCu>^7j|JS2d6*Y+v$X}n%z?oj4md*xDc z)h1E;3++Nnz!fZ){s_*S+cVt1N0QL78g{KZzwxjLJxGrwn`L0mDWT@MyBy7Wv_Z&{+XVM+S?Oe!8x}`jz8Ir(hXedWyZdx^mBoeto-+;yV5um|za26OD8PQ%H zzIE#gD@(6!De$(t46LVa&OBAp z$@vfdhOj&Vdx=OsTaX95o=@=QS^=ObkO?Gc8Sv^5oVjGO8u()qNG#QrO8)!Nc(p$i zB2m6$idR_w>HDI=4uO~S>?lX(4-SY+O+dN(2Tf!7j9Ttu_G;7WKRK*YG`Ji zh43_hToeHbDES4nv%J*yjIcW|TP%9uwCW$7pcw7g8X>jS@O7ODhil_Y9;HY$rjMPX z%1!YCcCa!UhnFtQgwz}3!>p7dfau>$5hZ}5At#XDpB{`;eo7y(ML?^_WQ%JhP)w54 zw~KSIkH>~Rr;N*da~$g|BFcmOHRiE~#hoS%r1FDah3>r#g zvI#_%@RR_enQIV!9>$&gu^YQuM)a@J?DV4AGn9nNykgOvvb8EiK4QlsE+dE}hnp+k zr#1h2HyGt}OUOtU_$Mj$r<-bT$C`fyVVL;I!izVYyhiNIXIVe#i7p?F9GHfKtHuRd zqg3~MJJ;VX&rkSt_8vU9wLo`5V^&Z3EZ^_Gx{nS5|)G%L<_?*moCQLGT6<;7th$qH_o& zjD}6$c2zj7cIhoE<+7fuG^V|5^cO4;m1y3s&-?2?xdmP;z7uJrdHqDGEjhAQbAw0$ zYvc!~=SZ3fuu}w7BTZMi_Gq4rzUQP$#H#AUQ+qdjwKcYyG~zOdrqhZh7XO0xRj z0)MkZ@^^n~Z<=y@k|e!=-=*ym^%&ZEwQWtNeG{~;PPk=}jzDa|VU_@5oT(~A3+VvatZ((BEcenC z>h6K(mf1Ivz!36E+By{CS1!x6;ug!|an9t-X3xzzKSA0|W;vD;AH> z*kr8i>3+FG_j+^45o!*CgIJEJ7@wXi5hc0JOy-+CH}B}l@}bhMO`q58)bb1z2Z&-bVbdJ@6k&YBdaWFi<)R8#bT9pIC7rL zGbuuR*Wu0S{YzDi^OO0a%rPQXG85j8g?U(ae#*9YY;0YRX8kMEK37q8I(|bM z%?gIdy6A=zHS>3Q2UCpDo+%MJ`rlo)poQnYwG)FxR`o;SXD^8)xc#DKmrg7!e6jK7 zb+q{%4KJmUq6=)-yJE94w~Ba$q%;gLc2LuJ{%~Kp9&%-=xF!w zHTb!hve)SUGr$$}@?Dn7C2Kec z(mZkRDjqJ~U{%m=axjaI{y)-Dg#r^@OtuJbm?h}_ltmh?+F&d;mIw5a);(egC#ccCEYDoiE^F>_^#nnfN+j0i+I5v9fj?JeT0LddXH7Ml6(r(4rm|Of}Fm=(2Ey%P4cdts$;8@6LM=%xf*(JH6P?& zo4(*xJM-ckqxZHHK0@!{&yjF0yPcCVBCKM>V1PqAjDB6k088@IArU)rKaxcMFPcW$ zd6IOB816&F%XjDwlq}+(-YMiUiVJevM`#GRFz<|FGGd}))cdP&d|DP4p=YKUpRsYi zM;+||2=cY1kCI=X-D7wyb@P>rGcEVtMi)vizbK8M-f~J73gK#|t5mL}`2;OCVd^Xk zo|m7DF^}0Vym~JojCe*$ec2>^Uz$k4x+98a@$Ln*9sY_*` z{@cIhV68>A{?Tj`M>Sv+0*R4w+1VyvR_+-nzXI>by^vM-jXMwLs{ zC{MRt#^LrVySZIlvoquikMg&FeN1Q9^BXX>5P!?m^}di4jUys?g&(jxp$%dWS@~UJ zM~JOhTFI4-^5Qv1O!#IF?jg5vzx@BNUk$S2N(LG+={phLxCcH;=EAfr4?09>9|OLy z;k#XFTSuAb=LLUd z;>Y_$y+pi1%|L_3kozE24^8TGd6k4U?j_*dLc9&!U9k8t#s{RuMp>$YoxC zoJN{(mQO#4zPJSXKd8#erBoH12yQnw5) zpvb9QA^u_h-R6qN&)FSNFt#BCakDTkDkh0Iw)1PDnPK+fkcqSeDDNc7yY>&y)Upmz zvAF6E79_OPykU`s2m5SP0)1+1mkeKV_BZ;R_~w^?nWsXurNreanMf@Y#N)iR;0hUE zQ$}{7By}&zU*8iVG&;P`T2w;Z|DsPTED!81uXx_SIio71q`~$Gs6(8uIu(t*A)Lt~V8Mpn+HvIZ(Yyqf0&L2w*F z{>Wc`Rf8{#UXAHO=-Z2bG0<(`@!EbOu{|oC1}hg1Vs&As=hhVexRG+B;!hw$&xMmY z$le*poAs;|J$%FlZ5Axcj?Stg`ms-x6nskQDmPnK$HD2N?eyKZ%qC}dl7{1bK^NGh zXLLdX;aT8I`?`#BvP}OLF=*iIWpPI@>SIK7j7p(WGY<9_PAR{Foc_wyhs871`*}rW zLU=L-5z)8v$yg@t7*q7S|Jiw{KW3bW*Bh4TVhC(n)O9kfGs}@p5p43kn>?KDo|cRg zzbYi>7Ch`cvEWa1CO|a`>6qOMAV9Fb)ff!qof!YVZG{k{#c!V1blpS{H zf0*1xa?koNm%qYo>-;$@R_;t@&5X+oDf@@_!Za6B&>(;G68S1J_a-5jHPfCu6kx%< zZ^x;?^6WFoza8)2sfEU%r|^L=IZ2`k&vbN{_@$p?gUAs{5Azqav!M+mGP2mncY9Ru z(&iYfc#Gwl0c$_e{SM6jUIE)jWZ?|<{+hC|nnA-5j@r|Y_&Gg~GC)_*?7XW@qjy0Z zdWl>tE=)YqJ_8%dS~L-U;e+herR>+Zw7ztO!V<{z+ah@4IVsE|_#Z=SZBerz5aWRz zurBVlNeJS+LU40@Y5S!C4!!9{sy+J_O}z$zI}Yy5nicZH?}Ul z9T*YFR3pR7soJ(rLJSy4W)@j{AV5s~yRdPd{L5+R_-89*mJ8A{DI4BKhAVX@Ux8V6 zS)fxPwLU`Z>`a$oM0)*bQwY8TY0o%U8m=J@cq1@8e^fx+SiQRKmq&R*cnnWV^C1Lg z;fPFHy_qIX&Y;=RpNY&qI)&Le7--1&FF@7L!gSDc$TX__51(;?(N`-3^C8jdK-<^` z6MlJ{CqlVM-2K5h@&oDoLOED$mYqoI^_?ou=pCEtX=(7}^X5lpq;%ID(IB_g0AUkc zG?<$qtIMeg^Bn#w!9)ZU!i%4}ArTgaw8IdtFM=wR*r+&1^Nj~^=Iq~XL=OL45yfA6 z%KsxfExMqfCFI+>F6|&M7vOkeIC+adGR1jUcCq zu(y@=QME6)!~v)QU&lpw9*;1(Cjh`lLxTt!twROVnlwz$1WPxX4-g`}VFoatGeXng zXGo`fXqdFsT*i`E>3G?y<}=o1N{5z~he|!!aX1W&Vb^0SY**-!V6Mfk7+k%1S8`;T@t_`uBvNPvYs{w>)h0s>|`iCIv`*`P1KSfRceJUx-m229R>Yq{Sa= zvtBhO$gCkW@RMVQHGf}%MASY(^#pYF5Tn!DPf{R9_1cysR!NGCnyPr-D68knazq+DE4n(A7Lk)Cc#9tuTWPU zK>8-A-T*bc=_#OZ@%-!205AmZpUUP@D27A2H^NgRx~6xTZ*>E=fn6o5zVP2C+sxF zpg^B=w^rVkiRXHO+CN%<5miZ#>b3*9wkw71T)I`U3P;oCIqhp4Y5#?dzpH2$b5`GW zwzLi1i_tz_ebj*I{vdR8ov>PzCPMq*VAEw~Q6or^g-J^4Ex?>rY-|=huKIFXAr<^H z102<_emR)xj4?!ZwELDMcO#0~fi4iiI=FeRH}B<|3?al}{A7)9d?KKDUPc7zDP!^M z=BgxlvozP#aF0K6mrkHAHzqS&7tl;#<@$C1`FyQQ`~8utBJc>vJ=(C~yp4?& zfRHYAq$)B+1JW8ng^ zg2jKiAO9E3&{Wh0%;QERfcRu;Ui_5;V!I~=O#0*0=z6*As;D`+%J}gzRdOvu!zwvP zVzgzt);g1I_&7+*Y`GKj0Sa4Om=FAJ3Y+&K2DS9JJ zjfHa)-J$j)w#l7JDT}#TI4*>k$RtFkj;;c-;FII7{MK65{<76>bp{`hGF**XHT|NW zN{@+Eb1W2a5`cO`orE{C=>H+9_~$o~^X}TIhWgV;;Iv{By8Y)^+<_V`leG?Pdw9xV zP;Vy2K83HuINao1LPzrzH$!tgenGliKu|5lZl+?beBt0|kcFx5hXaGT|9SICDqZIo zR)UG+C5do2{qFu?@Lerb+Mh0n{L4Zit>W#g*yPX06<8u`TXZ` zvz*cbqjE}8TrauZ6rhZl7_`()EKUy`xCa@#EXG+Dnc~M)iADk{FgygA3x|v^ zTHP}{82@CcHuV^WcYV_*4Ot=su*;0ObwVp%@f4+%ssmU809}Fjf`<)F&~dC2lT}zb z%ZI{1l_3#*tqNCEMU4s7E@*@1I^Nd-dC5c+{O9!916j@MTN@n`sZ>VK|LmdB4E8;R z$*pDwC`)R{#-R0Rb*94LMDKoyYD9iPst6WR{`z~Zd(H4u7Pe-q+7n<5poZp%n^QP+ zbTW2uJuvTeYPPFKi$KLq`DmC(Wu|~5L=C;++j0H#$=iB@E1jq+D#SK{#C4GoObF8# znV|i-BSS+N<$|{ToCts( z@(g#%9q18`9sq99|0@gip!ARYE?%)o7?dl+50Aw36UFF*F)7#4UnCK6Dw}?za(MYy zF;o&%7~#h_k!!LB^HeT`oj~+PjuSAzJYem9@dy$$ZmGt5f}JB_DZ*@LpiJv=d~$%^`|#_-FI^By)2IunPXq5d`F^8*M7S;Cayz!%+8& z_6fe)+PSaF95(+eC6n~YOx7FD>QUnV2Um3Ff^sI7$-_q+m<%JA+I==SL@szGJ0s9^6A*74n4kSs zJ;`86jU4x+{*jaRXY~wyCuH>tpl--9TZh-{CSwd^w38rg)XVpG&S7)zEz!vn7o%IV^6w0=V@!sk9=%e&o=5St>5V-X#r6%3e`jI*&n>X)pk;@Dod;8Q zJmyqa8@sc|@iizH7+$%WcyKPrQ_ny7KqQmdaA8;q@)&3;$$wM^9RH zwpz%ef^o`_8aB12xh?tJzB~Fz*OrWaXdIPjOV2+hy2gy8Y%_YRz@G){CFx^AN?~4e z%`jj@AZ1?8-N5#Yhpt^geSDzlnf+}poyoty0WETyrx;u!WkG3T+uuhe5ZO7^kV4|` zN&I7?>pwgV!CGb{kX1Qiz7TbVRY5bb)gC9GmcMa8OlP!YcC?TS+89w z@z9t$cW1y75~)eTH-w^WdT4Cqy`Xb{5~h{A7t6O)aJ4HBgh}mm{zYLp6w*0$rH%67 zogx*N#`mcY#5HFvpb?WznqE9{l}2cbyw?kpp6LuB3p*SM{ckOJY{NC=?6+DM8#CSA zfx>!5oQ?42^>XKEq1^RB9qB1+DL$P`BGpw|M3?@^sPV7r8KFAL86mR-%V?#PFf;{1 zL6SI&HaVmwt2BhN-F135b(y2d0WJ#dXjG3N7H2Aa!mN(N{!R0a?Zo90e>-%ScRF#D zV%M2X&pvJv9JubtNv6Qji?C^;5^n}H#hJg9{A7Pt$Yxryh~{6q`yWgcXh7+4$H7il zU4u+U&mm64PA?A&#?Yb7#^Kc}yt9TFCYO2HP0)nfM550CF=xD7Yu4@Gg>N`<8PRc- z?h2FD5w z>Nvc}wE%_2D{8FlL7Kjprb7p}z-xj<@(yC|PQ6&vT4;$^W+pG`I=?&k<@o+9akO5u zj7#RzKx(ef#WLGM;ASvtg2_q?>JlmbS2J#`WTzht+mHb?INERsLM1ReB zIGgd~!w2gZ&4x2js^Rezw^LE-FTZ=(m|;nTKA|WZ5#y9 znKD{_KLz)FMhy|R3WQm$%K1N0xWH!-^HY)w(_3_)1u)Z;cc`CUn2>#174(F#(ldQ# zzp-*-;eM!kul6@knQ<8`?JXwjAniEkMOo?Y}; z+WRE8-zhLUJt;xJXLGJf44!VEEvHvsXz%Ed-D^Tgq|cngWPE}kzSv@|ZNd@n`_&qK zTA{lsCiz%(C?XQwe$)eO(AhvQXJB;r^`RG46>@ctMEb7KrZWhGAcpza+P+ ziP!a0wk~zMeM3s(l6_g3VHMs(T@RO==Aq&{_S3Knb}a8J(p9>Au5oIQA0azaEB{V* z`tMN!7Tm1jS+YSR0`_tU5>WHy1K41}CoFhoH_~SGoEvGwwr4F8ufm4GE}wf>H}AWf z1jdSdWc&b+j@6N{xgJlxR0<={|K9Bvt2)B|OURrQFOkq~k13LLp3}L&U=S#~ z^@0q_Ekm3@JyLF4IzigKEiRw#957nfC0hm3Fx>pR4qbrXNrwE$!K7E!?L*{OV3@6u z31hr>H3z_0#;@-AY3C3>TfqF=xdM~=U-!+~PL^$n6bBR(LL9zqa&ow;CZ949q5Xzp zdii=@9Uf2leSjTI`*ZY;!d?)o2j^~N;1ZHr$SdB3ln1R&d%mgdMK+EaQD-j9ns|U^ zA(fNuy4g z7@QeqX;{7VZm9nZ`k?FNjFO&<5cM3_39Mm{#-Jb zIh$tNL<)gtcu4dhxN*7u&;8$L3baiU5}L`0K_F%9HOM$I*{4I0==wEj(=2Z;OwFvx zBT8N3GsV{McQ<(R_#JVF%m{7Sw{f^bP32@G&x%0|JR~wp7V@NJdRoA-+ZONBi%eIS;&hza9=W% zpGBw6Wb>t-L5#2|1y?T55lbw$Dq0f--;vy)GpCz>)gQn_$N zmg0XQ`L6BAzI**YMuQ>!j6aDl7Ib3)Xz?@@V}dRwmsQzgvA8FQ^lk@F2B-Hm*-YIj zT_41AEKzW0w~i3*kBF%@?7TQwV=>*H!LS-f4~si9f^Ype^$Bm!>5ZP&)<{G?diV7= z_DSVP41dq}q6?o??h;$)$y}$y^Si{U=F6SY$Q)`eYf9B@Nk?qveO^gkN%rYQ;^xve z(clZgxQ3v?V(47Q#KM)k`q@%*V>42^ON6}=$4=u%_wT*rAtNu%4XOIkj-yxePu{zM z3h(4;L0y~1-Aa036vQ5ZUo>nKEM%=^9wcDC3m%{0&BEO993akkP_ zUm=)fvpZmtZn^k6nK;0zl&9S3A=9@opL+TuoCkCM%6f_gG}L*rG%a~nRF$nHI2wHD zEWh7gk{US>)6f*XZ&6Do*n26YbHS18rS~wM{f(#!b2)pRZ|a>~+)i`;nMtf29+xBt zs)#6AgeIoOS>Bg41b(28zV7 z%h)AULFJQaC%$*PYEO7o-(HMttGa8$%2BD|-8d=lp{J;niV;mIZq~22*W;(l<63i{ zarNZhx+ry@{dr?sBx^@vbXwqT{mpHhE!$#C=Q)4*mKWE_*3H8Wsa$O>_P*fWE?3#2 zuDp9NFCZ9TElH{ntx~AHc1d*kicc%4FMNCpj+H`-d&xfnrk$F%oIp(59OOi)-{)gH+>f-D_fq^2j`jytz3D=HD~vhBgL%0STn4N!ghDW z+!A~bl$RZJMPht2E^|m9A8YA#1}{FM!h%dOx4lE^Q307^&H3{{jYA!#@)HH_IS{Gr zbi2k4Rvn6938%?@|88sXb?>@ND|@pyot*5+Z%BQ;n<{S>>Fw^_4SE?#EIJOje+H0te; zb%Z)n{_HDVVkP{*MYKBSQ?*n2i-OGw41{ZBC8LP}Wa7-)Mbtot3k|5Ld`W z?%0wZf1@q3nZjK8$ATYMd`$~$Hn&=E!Np9|NE+K=I({NIiqw{GetqcOk+l7&i2Ee^ zr2~11suS?l>UX#chU8U${ZQdhoB7q3RimTY8=IuQ1*01Pt7#O??p zg3|R5=+)@p;5Uow>gezvp}TfJeJOD{G?O|;TdSma*eEpOetrZz&+YdrVL`2Kjh_o& z9u`zS@vy)8#b3pmJ&Qs#2s`T+$Lxptp*nLHrj`uf=8YG9T#ao{H~7=PepS7hB#Z^* z@vWmHNZLE?%&B<8gm{EYkIY>D`S}EyT1~i?nI@YfJ7jU$4Vx-@BiTMsHV0kOd~;it zAVI%?Q0T23!H0uOr~n7LFsOBC_-pk2AK#HtyW^ zXwJd)l#D7XgTP3@Pr@J`m~i-yOcP*~EKE)(RZ&qvT-4EQYFaR63iv)uLPEq4+7MrS zLPkdB5eWg5u#ysy<{cayoJDUU?Q2H-W3(1Rr!|cdjnmHc88fk$NOToS=?!Xrob#Fd znF3ck_q%oFnG$noWM%2t(`nX7ML_iFj%bjY(|B>$v>a~^c}#|p1JR(pRCw$ljx=>S z(XoDD>0P4Pjn`=zq~0UOH4xZ?>FIOx^XO=wii?FFO-OE50!3;DK=sJjKu17TBXSV9 zYpo}$kHp6B!yt=^S-?zWfiaviX9r`)gSC2Z`y?amXp_d9pzc5zM>R+H{)ycrbN<1t zXWg5}?rzifbT6|QD=;gF2080oN@q4hLVisa!MNWiN&~<4*TX|VtA zvWqniqWhmwbtSgsiU*qLQ!;!muBWld1Q}TA0-6M%S?S-*HSa0*_iK9Fm-}yL>Rp7L z$(82A6LzQePw!zJWa+s0)Q1J;SHR$qi6>*l4>X%UNqOzo0i_L@LMCvf7TX>kz`1urHx8@7SLVN8SPBl89{(#(xz^D5xhzrCat_nc%+W!1v^6G zE)8IRUq@7PVKGEL#~y7<(W$F@DX-6%O|JBm=g-!3|#zk^DUz8nA&wtz5xXkQMoZlZ8{2@0Uli5&m zZpgwkftKHel_h&F62H3COlE_@m4H>cmQ}DEhMheK!qC9eQK|bgVqEu8f+TKyxqj^J zB$m;EB<$`UZiWKZl~%EsmcrKL4>S_-XCCmp{57=!G^qmyBmf?2c^BwPTQ0Br)w6f{ zbv0oC<=4ey1lQ!YZU}=WPV1XONVfqtFH7D$!pdgQ61yf+{mCm*(H z2ix+;blQw#aR~`eBJZ1grb-oNK9 zu^%CM(EX}8;oh?lm^NNF4UyHMdqKP%i`ChhBDMxC{c9q3(imV}1xh$oDK}V&s%`Ui zKMocASa=a~mno|5y<7Q=XUcfQwe#+*ocDvTyoMo2%r2gCovBp40e6{eS)ryjiWJP*jp1F`2YiozVES7gBh$RYx@LV)o=tGV!-!Pgp7xzx7D zhIo>hft*~wVw@rPOK@zPMgJ7a>4f&WySmUU%4ytG*!socI5RF-pE=#MsE+Vs>UM>r zQ09uyeBe@!O%8ANex{-qM}cglIkfCC!@8HVq$_muPe;$Os(kegGJ4RzY?Q731x9dR zg9#7-WC1WIL(xr0$0M`75h51a7G$7IryByyCTAn{xMAh{%7RMJ^{y8Be(Mr$SWN{k zx}VWy8O z;Pmt~$xeYxI_^zFP<=L5o)6c^vUebmsBd@;(Oc`&@GOR9_RCVz zFfj(k2T_!)<>{Vwy~@$skW1bCEY1A+nz`Kj+cVM;te`Xn}0xjUC^?=PPj&5CJ!`PcMfP@NTKNT<1r zNslM7{8PuFOa;76>v7<09E(yF!uf`uPRff6P0(?wuBb2_g+i|}Awok&3Bq__;*zyb zmL1j9VnO)SB>Pe?SX4Oq%a7K3IXkX9RT6k#j%l<1c9HhFMBKqemQWEDjExF0EMr~o zbJZWXtj3&NaPQT#mN-Tm5{G=vz5S}6YNh%@Q=u6Z>_$Py$KI(@PbiS-@yAC$pO%Sp z3J4rHXlD%A3PDP>sF0qLG6Kq*Lp**4Y?0906v1GT;YEUJv;V5 zMpPl7t+^OYBwGj5Js`@6Opp5b@ngbb$2|-N>b7wb4^=Fnf4fhcEU>=6ljS^g<7V(r zc@)QV>6IrKSNV0i5>wO8*XEJS`(4<3d4+map)Y2ID^0QCX=9b?c5=W#Yv5`x}<`r$*)_%sz?{lXd|0j=icc;K`>C zvIcMI6>BIcQt*V%6MW8QeZ6^Vhf~#urJI-{L~86nm_YmIb9oCK?J@0dTr+Z5!hCc? z`BP^lJ+pI_6enN7%eERmernzH-^@!#3YUL3G@0Bd=}%I{er34xutzF>Va#2sbBrY% z(`wHnLqBhO<(<^Ch_LqZxAp5zjk)HtiA@$iJ#nqEp4%uv8WLO!@^F zS9{n{2J8IIEdc`?aEGzLi6lkWlLs@UFCx*pO;wg4dSCwy$0$7v$hst0=C3{ddtf{IpTGMzu0ax=54cbJ_v5v9+stlJ^NG55BG{hmn~^6LH#8E z&a7({Y9Rk<9TzzifsM;LPJcc!^YnJ22g!UWICRt`U(qwc|=_4hWku&w|q|MSiBqTXMA z-svha2SL)8dXMIRC|aJ_g}-+w;ktPZ_3+OlHm79~ZVR~Lp7%W8H&lFgbgG!v{Hlh% zUD)MESljx3MoEb{^FdjKWa6)}!Hh-9t~I1d$}1tMrDj`Q?HqY8J0IIY)Bmp9jcye@ zR>80i|4>^F=W@E8CxJ=_nzG*EgzOQAVZZXsob&bW>`q6@CP0fTiSUZVu(DS3EyCe7 zhg2~;S@Y`p(Mo+ovm1Ra>{Poe!E13Ta3{kls|@e%wYk>ZTP!RCbX!J>@2Fcihi9RL zSJ6Mha=WfB9G7r=!3FZgYP;NcbbM138CtQ1@r&l%g#qqtXJ$gTnrJ z@qKnvo;kn3DiYL@mB`mO?TnYc97-da18oP>ClL(Xetmp5TH!L%D;T1&^Fk+kqxMD6&%IWR0WnX=B zCWjfeBtbuGThnmwA)G<jSfoJ|PGl_@U`U5~5j#W_({Te&1g}U$WVy4xhpG=Q zH(Cl-arQSE*6gx!lXiE_l{fP*d$DI32mVv+W^LC>W>#+UwjOPp?nZpl0G^Y49D#;@S>}dqvEcWOW{@ zGV9v;NMM^3MD>Su^M`a;YY|4srBR~aU78De!mI5Xvt?FfL6**lF>H6!kEgKA?CV1t zbW)w0m3#!`17#Qfzt+AxuE+Op`>H6RXla?12&Jf`9Z8XBCzT3GnzSRdw6tiDrcp=( zX)9VpMMKe!G^C+YX+6i;_xHP>`*}V8-1q&uKYtOQtLr+i^L)?aeH@L!Tg7iwDVz`+ z>A0`Q!_m|do-1w@*-?5Z;a@9vg~ zNj`p8?RpRIa?uz19>vxf!ytEnXIIG&+=T9>Ld25O6IQDzPo|(WlV7i!LzF8{v$Owd z*e28`@3M_C_lk1#;={i37P_;yZT;cq;YV+7!c9ck6#KX4S?`-B@9j>&VmNlBsb|rP}YX za(DPfoSTv>3^);=_p&xhZ-LV|nq7S@pj7%>qprs+`t?|MT|F5`6^%z5#oj#&zB?$= zJb9S$j`%KDnJtH^Z2B(gvb}{=i+xgr-fEG5bB^_bQ&ff9ADT#+FvA>kI7QW^FerUiI!No9K&ZyWX`l!6MH)KiFO#i0hN5t_{BvD8+Zc(>qT!w$h45|-iYTbwhNN*JxlVMsZgro_2_&v|p705r`_ z@skLFrE#AH-|s@MtM{PvMzL(MaNjiNhC&tx=^-aTtkqbf(p#=e3iEUgNHWT=DH-P zVA&|X#zD|IJv{ec#fR$75T6J1_D!7{289+GC))#N4mv7{%jOOKE50CbX6=w~3!&3zqxf&Ig8ZWHwbUGq-N@s!HVuxUouY0jd=}h#~wZHE* zZL?E++=MAP2W}^;e_YkVbhWBP>Dwb8)a=DndY&??Z$bj9<(5q+d7XF9edB9s(%eCZ zt86m&wx*^!C#tP%x)BjGfXnf_d_TBZjSJ~f|GQU3wx}rv4<*oY6ttY4_fER~Ytwt0_Tt;Wz&U2hTFCVJ^3W2FFPDeb#uR-&fmT+PU1+G& z$$786lg6udPv-F}ap=n&JN|2Beyy=l@EWzdtje@coZq=lJ=p2}%DeaI@C~jT&BSy( zHeP>Mi0M_6WxX=Ld5n(l5~qiC*HV^P(_KuE$=^s{#3OlK#x&!^FE>8T@>oY#mv65V zXIhWc{6H~6l2Nhp<+X$IyR<%-8XV+<{}Nk>GbZi7+Q9_6;z+Z3nSzmqq9%U9c(jxR zZz|nurVsJEZ{6J#CL$xKlVthB-i^JUOU6ioiHT3s?Q|#5=0XUCz`S^y#pIBQ*2PmtGOQ z_sBe=HSSex>6i^9we&Caq?Ug4)iej&bLj*5fyzqUPCU4DIC<$DYZ#C&F*80Hz~DFKNd87%)ojZgnT!HikYOJy3UWcho_sXTK9x)I36*A z{6`*adEYl|d-LSUq^XrNkHD+DYR6RK1k2=IcuGp~d-UBRjm1tmxJAZcWYNGmns@VA zn<@8NwPI%Ti>LVSh)XK6E!A#GHLE+P)7LEW_D*lZ*K@bcbFNLd9Pmuj*t6VIxIA@U z$n`?EldJV57ZOVc4~AOATm!Mgs2z!{%@ zCnLLqv^TFww0JT$D-~L_?7aHnmZCuV^GL~+Kb>?-B+D{Q^pgtf)+gQZ4aJG8v~uY} zAu@C53BSA?CoGifX`?*`zeHlh2PFi>j>p-`=1uVe_jGO4`|@O-$84nRhoXg}{%7FF zVo+0R-x93$RMm7>Vobv!zm=lB+Zn4YKbrrE7!GTk*|u`7^iJ>DsNu5b_3n6oi+*-g zOuDe3Kk?*0Mw0q28Y#<|_I1Fgx~n4T)R}fUD{E#>=5^b>tGoQlt9-TzNM;{;(>E_f z&2o;1!Wu~2Gz>@Gw&%W{q)f+a0TFMFyo=R|+A9|3F^TNCR^-dh%qNjoQkOADuM|dt zr&NCDg{y1Y!rP08M^=UY^5bGV=|Q%?Ilr7r$K7C(>zDu77pz1V)D}?YDpv_>s8aM> z=JRUwS(U+PwBggzpr*lzpGE~&lsUWTWYCOXdd$XYTYQc|oPWTn4BmiuiS?#!`Ukyi z&E=g=OA~GG8od^lvvuD}g%$XVZTAK0?7pCKzsov%U4S6EYU&XJLbkq%5zTT+-P>}c zR-bBcmua$!b~gB>p%|fQ>yRAKIShsggw^^cwPwp4;X0|%EuQ<2 zqnFpZzI-y{{jX~pBh2Qwzk?CCIL9v18MAU9j2HT<+j5Id%fMQsOmx#yTtu%6-LFj7 zYLjB8T4b8Eafao{xpo8zm(>ZxvI)MPbJUAkeC%mZS20g@I}{Ky!SLMu-kthTFm}PTg{`>n@9Af(q8f9$gGJ`Dv-L#e7I@O z=cT^*zMCra!?i&*hNGYV&gEX$-ll3A;j@~*HvBQSrt3;W2?Q~375X}q!o#inl%CL^ z4!IN-GpMo0c~IfTx|yR4vJ1T@()~0lH6&SYij~bYrS|A8WA|Mva(uL0*7>7E>+)+p zn`w@zEtC447Ln^D0?>fHxuu22+g+DlKIp$=Uh(n6pG@hy{yodY8LO;Zw#VmuY4eBF zmsiATZtZ9FBUJ-(@-!w$mGGC1jO&|eP+Oo@A$e1y8mCNFEsDkN z*u5h`uD2p}OM3$2&%QLtwnu|m56yTKnv>9?1C!Zq(t05}%Ag)C+&bA@d_{q@83;jp zoQ#V~ZM>XAZ=6dvh|PUVyK=Wq`oH-4bTw_4-ZBB{A{FmR$#se|dN;xvn*CL>qy;1- zlP^C}adoMu>5~|&=gVr8451s93<+4W*-aJ&M89D6jy=9%N{B)!K$s6TCocG+ue)L`r zHMGrPc<`W+^HSUxpW4)18WZ|=OVw3B6=o?-mEUj3%oAYTnbG=fa#r5ngGc<5v(WNf zFqEZ#^`4bJKLjTkbBQ;>ERcD9<&4_Dq{1cHX^ z+GC8+@CEfe8B#-SmQn=y%~0W(hQQ{{NoY9`c5ySaO%zdzA>4>H)9VREw?)leM#}Q* z3n3IjiM0Bys3`ODKo02U?4&4g$0~zjYTSKp>E#rEdKXGI!UyT^`G;9^9qyrZ%XyIn zdu{u>f!m5|&P=q_pINDY!q{KzH}}IneywjYeMSM}vy!=;D3&_8qF7Bsf#oP>k6nE2 zG-})CX!c57ni3s%my@(>zoc>RJh~!%9mNU|IR5zJoOYT~9&7a-i7}z)rmtxWfi9q~ z0?WDt`t*f~!|eT?%+zVMz^~=^m9HA?v`8L%eKsbUJK`wcc zgDSdd(c=I27s{!zyG?w{SCuE zPMDYs$%O<2Xzn=SatKY(GX_lx9)Hp%r6eUKPrKcGx8!;$%b$rzOY!i~qVv1Qd}4_R z*d?^@>JtkGOfTqaK7XxbZ2z>fu&&G81DwVl^#pPuPbi$~~w8+FgwDTiSPj90zMCnDyB+Pi;x%7^7oW}Mhbb{${xVPV`j_K*9` zXtXH~XAMG5fod4kZz80r={wa}>+0)iC@?|&v9(JJzZfQwmMyTM>XHbaM8^tO6<4W$y)*-seyi2K*dxNOgISgE=lx@2kmVU{&Z0x_x#V}x`%!Qx-UBp; z*pX|Jcv#~SuFQVhAa(JF`u!(L_xr$= z8J_;;!0XNsc8Cz%;CEt|K*RPL_il@le#d=J8qM*Tef24;cmQ{ToT(Y?197wjGUhRq z#{iO4m7q1ke8x6>;F8Jv0gvX20dbD^6%`dGA=~1h?aST(nY94YQH6V`)7`XOE$R&X zVI^;~uyHO&CR6Yzvrf@JIyeI0d}XGBgZ?B;3J#9%VD3ty?L|=wh{m zrrh)EjJj`YGm7T}@7`VeA$Ct~OOU!iep`XdH$axCtC*=T-IDp_eAO)>RW&sl%DTOf zdreT!v&QhPVeq+b9>EOEYx~%m8?EZ@GlJM~83p`dGn%43X?&mDfcs;HGE#U<3|If- z)j|+zdy{pl5`A%(Pr>NUxlXpZh@F1BnusV-SDDvIn_>&Gq;qImBCZ@?Kl!t1r{!Mg zrj#=6p{TXY3?XaxUU>IY<$hV0ed3jcc}w(HZC_3QNbCXsz%apHH1wqMd~$2aG@~P; zH<5>Yx5T^hk=^cy7A<<%l%|{&1IT~oUPHUJ%TYS1zTY1AKvdEQO98*JaB^5(T^*U% z#J;}=9jm}I=TCN$7-gqZqdz+#)FsHu{ZZR@>=<9a$L8y}mR>-g7uf_ut$EZ{M4=ny zfK+KTb zkBb_g(8*yZQg#%$5tAS&#gfjVX-`z@jvwa+qw#fY-o(_@t#!J5S~>;oA|fKp;2nq9 z*nSg}_25=yhE|58&DTUUm$?)?WxKz9<2O2S2Ib>Q%!DRsIlL5UJc&X2u~%i>l;?!yC=q!Pt350_gGy!@x~gH1N$Hh<;k zF2g3Ro-@DX70$O8?u~aJ5DNJko~e-_e`8@9jPb{IuiMSf&yN*cUJWD{_C5{OY%N&^ z@ah{M#@wO&pQ|@)2*ueqZ+xr^AIE_BR1`E5h0s+Z9LqlE*K@&gTCD~Wi?9>e@dX0t zuyOnL?QgRAmJfb^chgg0I~0Q9&^}l^&%A*iNW5z|BlM9IVI-#BpPXkUucikAf`399 zvTa%jBgX*}3G~+2gK==meuqIOl~MGEXV6)OBt1Y~n7mbDf!)>_*45K92VkN7yCOto zD-i+i{C@cMvea{?JHVR_^b<_eN}{?8hEAH3mqwSqni-NIYgObv5$GrpP)KxpFF{na zy+4NDdlO#r^7q7Ff^nN2phQK)wwGxO@`=vhU~3-R^z`%;l*owYV5?*Ok?6daNm*z1 zD^GmIu@i;wUSxE?djGya;b;XfFu^S8+?w`~J|H#^yPSyk7J?6Z3Wz>ND%0?3%-)NF zIHG(;hm(1>9E~pn_c$Gu`!l`ZP1XD%f#ooNARhmA^vYlDk0s2hUk;rc@B7rQaAmA| zPxL+aUL0ta#uKmxC2zy|ix_q8?6C_WoFGs-3be2GuW7T%Y4ZcIH?&*h<$^F+ejryx zS>nX|S99Z-Q9b!!ox^Yv+J_+&4>u8Ag|;@ZT%I@ z*ZI997(>W?%AEh4_L}XeEKT(LrHK|d`#?m_af5eHh;_L?ZE9Lt8LSlXb}P9=Df9${ zPfT*B$3BkTs%6!*i*Cf$DE%~UsrjW1FJ%hyix`}^2akC)4gL&wgyJA20-}XL>G~(j zm4+|x-!JpHd+V0t-p4LAWHhkonfrv5?EKU>NK8@oKcD7wL!HxCBP9rHL>mi5ZLBdv zqD5$Ce!b^>A2xXVsi9A*%8p%8JC1uX@k&yuY8FoLB@DtdaDE=4^>uY3Zf!LT5H!~; zBJ{Pgqh)OECAM&*M1>nz)sF+VegzkLsuFu-*N4_lLyYUN;m%}xA_OVrI+EDEAU`v> z+in`3+x<$7rVOhR()XfDU|X0BYpk-ny;sRolx4Od)}m8O|5qWxmt=Q9LYG6BPZX-g zSMPjhLrkD`w_8QP3*plyz+e=s|2_bj&F75Z9q-BZ3V_FFq=+3S9OTj2@rZALtMM+> zZU^@FI$Zlyq=R%E5jZYV)0qc4a7BU1t@>R7sV1%{Boy-AimkQ?=8@Qz=EH{AxzkWK zFclaal0Onfzxw_%_+D>>B;CL`DkI(vL42@Eeu}~op{yRB`fMAdh(u2i=90j;@JP!- zE4};cQ;0?85;dg|`#AJ{+(hC*g#NTJLSv9RKksvX-C7uv$DCFvhbTo&&G1?i@k2kV zW3NM~_OPySa^}jlQmavGs02~9X_i44RI6KCjfyXz2vPwNw6_z^_^sqYJME=LfTVRx zIr-T}zoF{Ghcb}LB*r*yt|NP*0Z_h)kgqHUo^0ChM-cnOF^=MBlN8imYOSiOsv?O6 z5StVAl5HINI;&ZXt+B@{otliVyFlg~VO+b5J)Rr~ThzK)6w(bl>l#<8MV#Ng3c7>% zXf~KnZulR^k^h~rRHru2C|yNg9{o7PBb`)otgpOEiBQw&`tEl^3K8XXTOgO?7&& z$^<_>p-0AVCLHHPg05gFe+7I+U_!=;6qKztK>&;*<{T%wG-VL_%te*Zktc7SAyM#z z#bOl+P(P(%T|{`;ewU!cBz58YGMIAWDoHqikTv&Ph)h^m*y{1I?8$f7e~@X^)YbJR zDF9(_hQWh~-X|1##s|N!LDXOiLYMnfZD4E?C2vDOJhs{o0Vnagp1qK+@g)&6>MO*V z#9x_rD=RCTy0sTbRg|#$ISZl3h+u8W!H~5|@U#dLyhvz{q#|%4>tC{jHebJwjYUMT zVj_a5G6R?|k0c>5H#hfclazfYHB`LdIXgcyEU%z|rb1OoOYW8=$zdiBUXK=MRAh{r<55}gvxH)rQ0WV( zQC74C7&=LWh%jX;&I6L^4FX%Xly=!~M8=Dpl7U);W6u5IB>@rFO20%WcMQdlon|S{ zGd|SD3&901ST2+jGJ$NRN={d zu)Lb;UV$1{GVFM$+#fEa7J$B#B{s=G23zpR9Ur`xm}(0WR^)aEZa;=(5$-WLHI=D)wc`)E1e;z&}_Oncx`5U^1r$hL?? z6GGWluGK_zj)KmgC5c$Bn`BJJdjLBt<}{!)d}SDEEYKr-(gzn=n)m&7l{LtBd^B0R zSgkN+Xjozcc7C79+Ppku2`J`t;T%&}A?O2Tvy+o6K+%WFI?%dVdn}JbL6ZKV#v+nyI$ErPp;#lwa7wqQJen;9=Zl>i?+0WA905Bp0=CKz>T3Qj^ zP6HtojZ7a9l1<8-%QiG}>xm3(3b=7&BE;O-)~R>_asRr{X9uF5#4+=}&6}Nbla0?D zf*`ZRKX1h<5a^78E-Mg?(7xdS1eBO@byCvNBW47AUftEsAv(4WUo z%#Q3$d;B=RZ(`ZOHcctb`FW`8hy&%w$G54`_@*<0uCShH*m?x)_kfNjQo^XeA)5sH zToV@HLR%Z`Ut#4_!))n=Kn6^R8osc+hDs2OM>o=o!1Ij8BAiGfbAn7l?Hk(qX5j$M zE2#ASbb#v1vvSW$6mf&ahvB0#?yu!OiWDPvXo)iF+pxlq>(J2&|*z* z-(QH#eXmZ-MP8d=vt%CA0ktw!jcDG8+qJKS7aEDbf|QPf?iNt%Q%hW+)Rp&ffI-}K z#B_KR(M?azDidMc4l>tuH$jD)(b<3_1u56qo#^To-pU1PVh% zlO_qjIIIZwC919MOGMBD%KdTYyvTsdqsZ{^uD0MJlvr`Sof`47{n`~4&%2;+wQ9<^ z_CQ-v|E-tK%Pf%aw0|mwy)#4E%Tvu3iX+7S6wdu=flsVL%r;AFg^kMTb)MXx0h^$D z2@KJ7DDx)c+7QKl&9tZW>iD=L{2-<=JCP<&(yzm^yndR~zC6+5)L68MJ0lU#c5;${ z^>KJFoRbL81#T%i{4)Gx6pcl<=lh{~VUEgX^tcQ{trd`r-j7Fw@VzLOmSk?o=MSi< zG0M-4Ym+zvMLXZurpu)BIS;itc@yR@?6xFKahR4+aNXBuFQH6HN~8l%GH5AMK7-6F z`NhO#Iyi_CmzhxFfagcerq``88u2a34)|E31k{Kk%@0hKMsC-KMD#x)O>M>?_9`jJ zCnPuxHnVKFG(to4Veq1tLQM${dzotngzY;q_2={MbiP2xgQzdo6;KPjidx+4c>Ph- z(hLfmpC09gPbJ)7E7t6g8txp5I$`_zjqeIg6O#~}es}K|F)=ZjUNRI(lJAJ0gUHXC z5@c?e(reeu&o?(W7j+qGJuDd)>F@sr^UOH%59|9!aQ#!r;HRLm2Cu+;7qPfV^a_jT z+;Df5;CA#D93?iNs1y^HO;WTap1H10>+Q2(c&=o4tlVEOTR=4A`Q?>1V!k literal 0 HcmV?d00001 From b8d17f46525d7034ff26d6c832ce63ff1ba78498 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 11:09:53 +0300 Subject: [PATCH 41/98] Update student.ipynb --- student.ipynb | 59 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 59 insertions(+) diff --git a/student.ipynb b/student.ipynb index 5f8282a3..863c9a7a 100644 --- a/student.ipynb +++ b/student.ipynb @@ -2523,6 +2523,65 @@ "plt.show()\n", "\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The condition variable in the dataset is expected to be strongly correlated with price, yet it lacks a clear linear relationship" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A helpful approach for exploring a categorical variable involves dividing the full dataset into subsets based on that categorical variable, and then plotting their distributions based on another variable." + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "below_average_condition = df[df[\"condition\"] < 3]\n", + "average_condition = df[df[\"condition\"] == 3]\n", + "above_average_condition = df[df[\"condition\"] > 3]" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 20978 entries, 0 to 21596\n", + "Data columns (total 11 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 id 20978 non-null int64 \n", + " 1 price 20978 non-null float64\n", + " 2 bedrooms 20978 non-null int64 \n", + " 3 bathrooms 20978 non-null float64\n", + " 4 sqft_living 20978 non-null int64 \n", + " 5 sqft_lot 20978 non-null int64 \n", + " 6 floors 20978 non-null float64\n", + " 7 waterfront 20978 non-null float64\n", + " 8 condition 20978 non-null int64 \n", + " 9 grade 20978 non-null int32 \n", + " 10 yr_built 20978 non-null int64 \n", + "dtypes: float64(4), int32(1), int64(6)\n", + "memory usage: 1.8 MB\n" + ] + } + ], + "source": [ + "df.info()" + ] } ], "metadata": { From 6c06f76e858af8060836e8f6ef60be348c5a576a Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 11:13:50 +0300 Subject: [PATCH 42/98] Update student.ipynb --- student.ipynb | 72 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 72 insertions(+) diff --git a/student.ipynb b/student.ipynb index 863c9a7a..1fa10f1f 100644 --- a/student.ipynb +++ b/student.ipynb @@ -2582,6 +2582,78 @@ "source": [ "df.info()" ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "# Change the data type from object to int.\n", + "df['price'] = df['price'].astype(int)" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "# Set up plot\n", + "fig, ax = plt.subplots(figsize=(15,5))\n", + "\n", + "# Create custom bins so all are on the same scale\n", + "bins = range(df[\"price\"].min(), df[\"price\"].max(), int(df[\"price\"].median()) // 20)\n", + "\n", + "# Plot three histograms, with reduced opacity (alpha) so we\n", + "# can see them overlapping\n", + "ax.hist(\n", + " x=above_average_condition[\"price\"],\n", + " label=\"above average condition\",\n", + " bins=bins,\n", + " color=\"cyan\",\n", + " alpha=0.5\n", + ")\n", + "ax.hist(\n", + " x=average_condition[\"price\"],\n", + " label=\"average condition\",\n", + " bins=bins,\n", + " color=\"gray\",\n", + " alpha=0.3\n", + ")\n", + "ax.hist(\n", + " x=below_average_condition[\"price\"],\n", + " label=\"below average condition\",\n", + " bins=bins,\n", + " color=\"yellow\",\n", + " alpha=0.5\n", + ")\n", + "\n", + "# Customize labels\n", + "ax.set_title(\"Distributions of Sale Price Grouped by Condition\")\n", + "ax.set_xlabel(\"Sale Price\")\n", + "ax.set_ylabel(\"Number of Houses\")\n", + "ax.legend()\n", + "\n", + "# Save plot as PNG\n", + "plt.savefig(\"sale_price_by_condition.png\", bbox_inches='tight')\n", + "\n", + "# Display the plot\n", + "plt.show()\n" + ] } ], "metadata": { From ff43c9b1fcedb112f899fe79da566950896c2d59 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 11:13:55 +0300 Subject: [PATCH 43/98] Create sale_price_by_condition.png --- sale_price_by_condition.png | Bin 0 -> 70506 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 sale_price_by_condition.png diff --git a/sale_price_by_condition.png b/sale_price_by_condition.png new file mode 100644 index 0000000000000000000000000000000000000000..cb83d0cd4ed2d3126b48fdda097b9e41ce9fb73f GIT binary patch literal 70506 zcmd43cRZH=`#z4ML}-eHhM6ctMWmugDl^GSX0rD#(lSG4l$p#3*-6>5ie!_$_vUw8 zulM+TzJLDy_&y%rKVH3x`@Zh$dOpwRc^=1c9_Ri1rredCI~aG6kdW+@zIs`ngoJ!M z2?^Pj?G*UQRg&4G_}^J8$=g;6rg~Pk+7`Mb*R`$8j7_bK4eznq=vr7Bnwkjkp5Z;o z!)jnq0e{vV^$I_LTPqY)slpSR-5>b^u2h3Aqgo7iS%U&MZ1Wx z4qLl`{+2J(rsv*$s^_N)JnT4GxY&7c@3*KIoR`SSL&>7wvR=Ay^8yp6TvD&4cb3+a8FZLaecU&_qTJ}67VnZ^u z*yY;v*}RX*(AG%AcH-~vk2*Z+d4g)?4aF=vurXed!ZDL{)amM_yT8_ysMn)O@z{kgDFSp{eKUoi& zGIX!q$uaTv_P+i@(~q+H^$DHjnSPR*aA9AU^_9ZF*|3!Job3mrur7rd61?8e5&%`GgVFFx5J z_@LQqVZ2Qt`S!mwp5x;KL%>=na4hv(_-i)U$@)P-fF3%1!oVvG_#Cdf=cVlgtVpL#8!*+f| zsc3yc&1U?M?xzW*jhsNb-da}Di-$ez9{n^rZEkM#8z*h zCUh_F-7_tJ_V3wKnh@nug$o=0e19u7>!>h(??btVoo@H;S8*hP6=%26Fll}DpfnI< z)K!(2-`&~Ssp{~?xGmfJ`%C&gOiad~c+Z>(>F(AlC@A>-$#4%ZFR#=3e2dj^Bb!>w zRD7dR)-g7=UChjKc6MiMCp&dVn^OY$G$VDZU*9TnT5dP#JziU0{*;_*zuD51_D`d% zhLyn8m7#{CG%R8@wBl=DzC7B(AZ)^f7t}o2Pvw8Ar>BQUHN)d!Teg2lh`}c@9v-js z^pmL?g;i0m8`8LX=qVkFIGLcTC(T7GE^E_QHr8fuxYtQwIYN(J;Pjw7`&Kbgp8C+a zp9c087W}79o!Yu}YxnT*^PC)ElBYC>daHtt8@GS zzrXbG@c3&Zuyv~GhB%kzi>hG08>NWU5^{i9%&8(&K>ykE=OuVp1a<_MLi|aKzZDS$$t^NDCLJ|;OUF1k_UzmDJw+|& zjO73|2`#gz*6(!fvCcv@{?3};Ii@U4@z;;?^2(_yr)x=s2^v1m%oIR4UzU=ZnHyI4 z5qbXF{rktHrKQ(!m!2Lw!|73>w3~JB#b-=63+&9r)}~6W zazq^FIGYk~a2z}4@%AmN*vimRA>-d}F)=X>*|URn!i9a~nf~lR?eDfW{o&gjauGKlyDuy()I^C#`5Y1nYZnp{dW{pzRX1H=KWjJm z#@3)C&-(R`^}GjIPfv|fW@ctD#?vpboL@^zmp4`?m-~Y?Gn_hw=TB!pXyIkQ5$UCz zME+JjPDVE5wx(xf-0S}G$oO~qqiD&OWZmQAwP^^u#y=-6J4DCCFbL>* z?PfCm^FK+<7UXVD%QFp$3JKKX!Y*realgxI!-d&?2azH( z%ai3AWu5D|$YB~jS+wfo;jxuuq&cPf>k}%0_MGZKu2SOui-k?v4J=%Q4_lPtqXHKz zkk-0*bJY{jYxgqAfB8Uy}R~LDHxH%=fl_$JL(N;)BSAO#VSG;U!^e0W%HZSGd-abBh zZP^c*#9botZ6|l{+9iRsh7$D-p-j!d?}4Nd{_sJSeW(54AsS}UtM~35QOh>&L0S`a zTJn4Uo^!`O?#t^d^9*OqSg(f(o^s@=xYJefAz33oaYx>Y^DcgsUqbx+@?2#8fq|Ei zu$r5jhbL5$Z=d2;eD8)bf)wE4>B-G-H}QK}S%%}H36><+dUQYXqzu~~eSLjKK?5R* z?o2(LBzpdQE2=kY6$dBh_N+VCd%iwN)GQV&bX<(LpB-owyP~X$Rmrn5H0j7Azi{D# zTggh`Nb-q0pR^F-Oy{hg?K`fFi1Q8z*n@o;$gC5KkqP2vaPgLulFG0iRrX;%UxkZ3 z^YLNVEOJtOfAbNl(kZ(sEhZ+WM&q2~V)28*CV%IKo0gWA==SV!$8~;vP>KN(z|XcF zPa0dFU7G2yuA0An`}S0aZI|wQmXXn)iF+msW@&tx&wu^;^)VKiv6eQpv7CaIxhCSQ zC355zWc{P8tZoRrCL}ho%{9vydy_PjgzSfHQ&Ur{tgIJ?RZc%>j=dJli^BAMY}Hh+ zb5P(;L)QJuS4`&}0*8hSh%!NQ=$wbIFYTR_*9g-3`0EEfX;~tB?n&zZh|oqD*xA`l zjkO9Wa___5#+mn(Q6D(zb|=e7cjyex=)F?UomJ*L_HtgBANgg!*kP;rTX5^Uckhzb z^Y;r23$LxMRfG%k^;ZQEk4w!g8iIqxFfL%$eIZpnpW=RU*bEA)JrE^{L06G;Jip@6 zqeoi{>@#N;zdhfB5>q|3aXnlp4m*Qm`GkyoM|Xd}Br=Dr$?6B^_{S5L^C*BlKNA(O zwpuzmmvSxohdT0w-M7)o*}7UzTE~m=%>~C%AO9h{uWxm6G80LG_wHvmBxXuV$|^^7 z6tZDJt=2`h^;y}7GybmuiWM6$8a+qPkibELqa{W9bq+=F3Cc}CVBr09QB(>fUxc4(rrypd=LH57qe>gc zqeqS$IBgUtk=^$zNd*;CBi=U)w>9wN&4c;{l$OVjAD^)qJ3ySt>R>+ChdWq4=jHM1 zlu@Gq?0lV|$WdtCN8!3Qy{)gzTL3UKQ_9-d*Pks@!ow}xC&p7<2Y0a=8bS96@=Xo2&p z5DMC0zzwm=xd-PYFJ2@Q(5umENmZ8`b#ii=nx59i-#?jjgdv^15_jF;dBc&7)*W~$fUlx7D6^~|71Q52~=ZA?8TQel>+mTawSRMeO{H+Xl z3h0v1Cft&urcdWKJ3r6H$yuSriKsmTZ27nT-6g5j)s>ar(b4J>_ic&FDU3J{&WYb| z5k>I|i}Sa>a^Ib=9qsLV`uo2lEvjZ4Gt`Ei7I5^MnlfXTi>ScbdN|td5z;o^D)ovW{ zyG2f+)}zfI4H}Lx3K<)uYetDV2a@y@Ij=VEq?>5Xykg&ub1s`TUEzQ9TUi;|&9@gw z&sh!mC9abKy1FYT#i7dUtjE8 zxcD8)!xo-fw?Cmf5-e!+^Qyhm?7;Qt=;+2;7ish9UP<@m6x{k%KooN`GgeN{XO@FM z%qKg~gFF$qg!5MPR-kn9x5ziLVS>*qDy}N0+#x@ptSz+oa&2vS_Bzdz32b;7ALD0) z7d@ZG<)mN0Yla96Uw8K{AO}4|4KcvZ=Hq`(OL-kAK`zTU&GP0fJ~8Ir_ZLWgQi&BG zG)qn&-PDrv&!dyTfi!4IJp|OrDk>VGkRWHix#7Hf&z|Mw!6?e@+qJNAdcO1r4_0HZ zJ%Dxr#}Y0*r3vI!55wJoSOxOcBR$6&{rZ68@=a@VY|gu;Y9fpF(78aMsgUuPZk1$W z1Gn$oX^fVn0%W5Y^0Y_Y4g~Y#veXO>&>$H=s&d*`9;`AOLS1NxmEQAWFV{tsJS6Yl zrRl!QSFXhTGExN#QA$#-of|!R>XbjN*peFpku*=X@bw8b`II}Skzj#-yYYJLy#->a z(|J){2rz;_b4XG~My3~Ju&Qey;}-Hq$XUzy2KrxsS+^49a2*! z9ig|P&8D-r;225P*K%$mqIVvfYR3PTE7Bb$JbMS;|V=N{4j=dySt+!d6rXIbT zPLxkHX#af5dgN!xpFd$pKjv#o=DmG=sL8MS>FcT@% zT}iOAwj5IqR6yd16sU&60VYe2gtU*($C2nxV3?64~)JLYJ!=Q7DPDj>6YB-Bm@sX0Wa<=8CVGwKW?ruMe0)nJ-HnB7p05 zx>kJK2@gB#e^9T5G#JIl^z;ic4R4i`03P4r(-{8PqBvKHE9%#V>C)XK?Fjx!uo3cu zIJa?IAIWp`0&{XognB7zi&>BCm3*;Rdtt0q@ZlfDLqn!ImziD9_@W@`MsFKcYJmf-L4{GSq?;vNNNUNXwrLn||k7a=fi(lv&qh z7jf>>)pP`?IsQP{U-6!Z3u$O`I|OUkZSQD7v2R({ICdOz|=q zv#FPSMcp8`r~mMRSbx+h=bkls_~#Q>6X{o=3sp)Q0x|P=PCy zH2Zn)hTsvN;Oz&qobhgmQ0^#k#3v)GWt`?Skcz!86wIykqRVB~8|CWwD6!7MT~4Lo z#0dU-&B>}`UBzARuY;2-Ja)%J>6bhvmy*ape4nxzyFJlW?3%-Q4;0utwZs%DgO8DtQX7OSXj|BOoqo*$ilxxkk zOn6l?`uFc;KwLs*GRg`ApqrV0Dq@SSEVIYhy-uC=_G30*`;ag%;ccA`nW{qZ6t&7aoRk6I;UF+6qk z^*6z!YjEx7zP^Lie8u;Hd}XE!e)4J*Jd2BCLz&YB|D+f#^Ep)gY}e7L#YK*D=fbcA z$Z12eIcnRdNBoYk5r`1tAob(D4C`O1^WGJ{ttPp8h=feth6tL#ydA$e_rel zR1y`bS;QjJidJM)v+q~#M)j>_&Orenj+?>I`=FqGz&?rtPBRM&WnEoeTH(RJgf)I< z>8qght9~|nC!zM~&Iw`D&iepYMApTDZOFGZ1v!11pYNDAo@+OKL`+PKL@`aH58`eB-&pFS4G6Wz-RgkR$dKG0{P9NWl7Qyk6y<8@ zf;-7xq10X%XvzU_AwV3WN=IM+3XY(_-3tTQ4R$dxW;fJ$e#Zr4_ik1sD&=Mu7K9GG2)%_AQ>7Cm6EwhNcs3D<3qmF> z_%QOWVMpF+Fb8rgOaHjLFCqCrs>r`(M)wxvCs{2=&Tw{pb@4ilrRy$m@@hzfw+ewx;WldU4W#uclw^trBM@V`DNb5&8Mb% zWZGP_&fmX%J5ZY#a4}AP8p^W;1cKDNxv$14W0RDUq>y_ut*Ps4)#5j4SAQBcCrjfo zNIKTUP%2x+24B*#u%tP0DJ3cn(`;irYY{8Y^QEOlrE=v|oa^R>Ua`U7>fkypJJpfy z&g!9qd^3M6FCr*f3mt_CDd()!?U)8mNei*1?k%VX-w^^P+49C8?|p|9#E5^1fhVbk z4W`P+y_h*;J$3lJh|So|A|{}*pT<(#h92K5eM+m6%5l6T`6ocYckG+@h8pM(RzEO>wsT zY48W&Zrb|mqgtt~7k8`=3Lh^ywSIQ@p+kq7PT2MK_v_9?CTy4j)*CYGgLvz;jCU1l zR=SKg#5~=7;3S*t#u~-!E0ebD6ScDg1T4H2FUt@xnw*?W{U>lmKtfz=splz6JVPv( z(ucs^2VO!Bt*yPTN`K(M`>pfHdNpq)+-sNvBGWHsxqN2}yeO36S=a0YB|9du7B`tEd zVu980t5?nm;>8-7dbN$t9T04N#5b0XcFgKRVJ8O$mbCfYOxBl`pyw`&wS=#F$Tt&GcRPizZHcGxGb;Oy)iw8*NjKWH_0!?>%c zP$FnBm@6}F7C51IXy~e)-Dm#I4~cJWu?JjtKD}@48|upcN&eP@E{)~i`JnD(l`LB$ z6rG-l2{~h9o?W|k@u+2c5lspJ-Y_Vs=nolU`+el1CwhBd9W8IDOXt7h8q!+LcrH|x z>yq4Iot8j{{7(biGJG*NHmmboE|6)+b=mp1L^eTsEkX1$oV6h2c>-*_r028PShGh( zHJExr&`&3vi?QDykJj=W^OhVXTJ^I`t>CgbQ?nVa_@NI*J!CMP#9z6^p!nxIBk zR#xVTvNb)`a|!j8a>tHnkXp1W4mwGp<9AeHaA9^yuLD+z*e01Y!VResnw3henJdrd~E*2^SD{Qjg;^kzTj(Uz^A zmoggjQh!<|$FW(HjOfmJ)7y{py+WCUKtZT&1S&w7FHCmTAwLH31rvB3aEzT}d2wdu z9;yx$#Gm)sj|_2h;Yjji@rf+5S!?kh2Zjh9zIdL&|JNeTdXJInc`2LKJNNJ3k07+8g-d{To`6uuC&xb`5C+*4O8}rcgW% zD5k*OpvS&FDr_U`iH8TLuYmkFPL8L)_5Rv}&wT0Z)Ue<5e)jC-Pj~h4a$a&dx|weuX%heIvh;uHY12-(OO(eO-D1>2X%}x?NOw zKwkofz$L4B-P83(69=HA$AC?T{t-{95ml&qed1+dVd1OuL&L+;;As5TUNu!U>$O7< zZWKo)@K*TUVsPH9HCUaGst)XFTS*HQwV#OMDQT-I;?uR(s2#gHnfVcoOPO1d z=N%WOzSC=xKZEu_s;s`B{KNB^M~)sn3vf*+_^T@pN@6M+PsRK%7Mm8- zwB({6dxYr6RS;2FFdI`b{h8zxXrDRwd* zP&`+2f`P03?dCO`JH;Lei{x{XKc2>PrFzk1HFohP@blN&`#bk36)tS9Pr5?bBB&1y z(;2^>ZXbZhE~i=V-Fs!vC$FROI6;ntOK zxPz+x&Nc#KzvfYWj8cZygpAusU6Wf7WAkjr!}@K|=ZS#iyRE*EkDZ-eZ^b3*ob?NI zq|wfM5783claj{9nV_}1m9=92sw=H-s=2NVm416K7A*fwAj2|~L%>Hx;dHeH>$~Ek zR^(()C`ihwcPl|_3>#ygXPBV6oVD;7bC~%no!8c$Yk9>!!eQdnx@K8Z__6cWr@uzT ziU-~-E;P(_Ud^64Q%L#S@{Zhsx61q<7Hk*FDq zW}4nz+7{EzdcnZpeMwhn<-K3Ud{Bq4*{**3_AOYbPTi!wn1z-_OxAW4V%rq--b~|G z{vT1|rdD2F?Ftne?M47o5qLu^5>{_+uPg64QVD&DJ$HD~D>zCH>MHI_vZDr2s=kOYsk{g0$fqJ$~vg zE-nPg4t8C@w~=Ih|v%L{F$wI+i@L+|g?l1OQOv3L*y{gwlbQ$v%! zk&zFgCiQP0m7H523;tOW@>AZ^D=grR%_(Zb6k?|ty-R|*)^~h5%a*Vr z<)HEX!M69B#YHoA$OEB&RKy>gw7&VLsY$^;LWAOtj25?~9+}6AvoksZ!zP=7*;vA~@u%2CKk#jiv z^{|^cChACDQ6}|efk^eookb5HeuV0&Z}{0tj`|}-siPVCmsU9~UGWfZC`w!A2Q8{6 zR?~_CIBvw}ZUEU_<;l@v#!pf^<$= zY|B6m>gZM5iqwt4=nY48qm|ZfLQjKETD5x9#*^Nicgro;l_xOc+~Q#Lz)0W>`TUEKF_Q2OMVQDq;Gm**kl9cX(HTY#}jk+30lsn6A4?0smBI$p-Hqh5s zN+>kN;z-Sc93O9-Fzqa060z|D|Lq1sMr?qp~5VPN^iWz@0LdfzF+K9|^^i zXN@R9ENlkO*fX>qv~Aj+J=@;Df<}?$r|6NS%bU5kL0enLp@#?69J^rOWdK#{$B!Rw z6Jo>LJY)%toU~&#@a4;EuLo~L2i3NYuy_W{cIyc^iAXW1Bf&4JkwbYftA;=9Xrv`GSfOwhtAZZx)k$L(Auk%i8A# zb13Yg??$3l7Qvx~k6ss^s^o~`oaH-&rZb!~jJgU2S$AMF`2yiDmM2`)-Xi-&T1bF` z^UB?$2aIFH*X*GCvL8Rtm2c|{ zcFHh+)KY?00gZI6Dcw0pU4qMOd@wVe(kbJ-bmm$hr@!8pZfhZUL;9~FV>qg2+<$&c zS<}f$6tMDZdHJ?_-H^DgvMDJk%VU{!fe)dj61l?L$KTKI3u;ObHS6)?$Hms?ns{>Z z(XxS}a<%f=pJG>WAc^~E^6I&lLC}Lhb<%0c40_swlY^lfH_L0dHH!*%4_$-Mh^8jH zz&qrl<*8EIpq}shxD`)2ocNins$kzWH$Sgi`HD@d+S$|qvDCkWws_g)Pc zfFy46K6(0d+a39s8_!Mjcd?lA(cf zgp1>Cc-1kEPDgCNYP!~=#vI>6B4sG@-WdrB@Q^_=FNNI#B!bLJd}G*^H`Z>SxC;8o zsnp`dW<6v`jzUHXkj$Zq^1nY8v9EPmSo#qeIZ(XE%%X~>v#!NgnSI)@@CR6 zBAwwRH=!@W*7v=wt&P<^8O3mJva7560IW$6j(0ON`@m&E^sMJcTR4ydp*M;)J*;|< z&TB7n0V*dMTmI1Z?ROAv^kJ$rVO>;Zrq)Y>huygh+} zp%8m@7te_kV1oVl7pUkZN*@9N;EoO`ZDqz9%PS6{D@lk)Fhg{Yjme@n4F}Jc($Y)A z`S6~|&~bv`D=>UTEibFCehDYR9(V}#qnxF{D-6+cf-))UF!$`}6(3Fs8Z|XF$n8rq zDyM$k)La_Em-dUx>&#O6U1PMIk(EePlok9v~fl{gOr7a^S!-b=K}1+>3zh26veQIFFC zN)!ogpKxh9E+pUb{16j!6j5%Sz2ys(h+gb|d$DU21j1=7StA;jD2(nPe~Xh{gV-*a zVhb}fEeHov;`JcIvk-$m8vWwFAS^xzPn1Dt!C7p&oxMHL@dh_GY>M9rcTHVAog&~Y z(ES|?{`V)=Gk$>lZ^J;u<&6^-w8`%s5mU}+2#3Vx^_Kpheo!aUI|+QY(9hlqLoj${bl;LjHQI|xe>?0-b&jbgE} zu@QAyJ3w@O=uCBVN*|L`@y|1`dDvx26P`7TFDUibHyBM`Ksf@R(T2>Rnwr-F>koSR zHE5flE5y#v{|ZMdv^^Vpg2Y?#SDbenEpsw;%sH2}GYFINl9HY$6x(6Og+p{%HP4C* zN{isx_J?2GNNd7QSC9Dx14vCZTwyVXBLGbTg6tmfF*G!+B!V3RKod2c5Zt{uF0=5- zz*rW@Iyu!-DzKMztGWc4qoX5umLyUYcGvjNr%D46gai@%Qa((f@A~wVg+ucTbV+WtURQ7v>h{kHmxU=S(Lg9agD znzVl|!IqP%_jsZ7=zm^E+9JGx(gEz|5IrvlZ;Rd#ea02><_)s3MA)o2_7@EcwmWR$!z^S81TDL6=H z@)2TV0C{|EWi-vWvmg{O4BiMcOUrAP+qIx!+ktR0h}xw~ST`oibfjVVaK!onNu}Bd zB!}Y=e&Wtabjr{KPcF#m%(K2mX%tJ?7YNxC$g1w=>34~KbW~qcr~#GFsjl*q9R)4?)MImz_}f5+Eqls zFxh(Rlff;(q-%sJhm4F&cA*wjHyy%h+|{dhU>}sh?FX{3so%Y8vF02NC_|`gXDtW1 zdwNKRG6b7;_*qZ1hXP+5q*l5yuC#U+gpv~Bpo4x4v`l0&gE^)km?|Lh=pCmMF{o#S zml@X7enh^^fH5*cU<0Y)NBB6=gQ|%<9}fNa-7lkB7Z<4BuMu=N0jhX%RJKnK_!DOT zf(x%-zlKzI3mZr{jzMi8-CWD|d>Kci76?!}_;_G_PXsvKzI{)yxr9Lt+LhJ#pI-*s zgNpcymdIddMDFl`zYUk$d*V)DeSN*L(mB~W_`hWU?UqK(6ukf>S zwOdY^vPfs2+LtnQKlCXbo*I7!e9)M4wdN(Bt;a^Mwsy7<1^+rn?CaQa#zKBmGM6ki+Klyj1RzH z+KbZ^ao+JYL?Jplx(l%H@87>4zV(pZY%=xe_G8~J11mR*4j?EcafVvq1q2A|NB{V} zA~#{h1Iab~oqiaP7j4iGjh?M0CE+jPXwp0Yt8(23rKG^*90DZl-Fq1+jIcDou<*&W zD-ysIo{%D*u7nn8Y#HI{AiRqpTSRpOxI$+w@lF;ul1v;TOV7OnH|GTF4`B*K0QW&6 z!&<}4L2Mn2rs%jYTwM78X$BZa4{9%A8O6au!hHh!1@Xc^f8?>pIIBU?0$ALtnYE__ zv2#hdzYG|h<22dW*a$t^s3r9}nxsTyp=2#N5tdCN{8tvntHCaaE!5W526T}xbg(7} z>aZadVavq>-Ojf;fsu%%)m7XAGXdWrC?b-5`D1@E!72()P=TI5f%R2V?-FitLJ9_v zLqHOtcHUv`>f#muKe}1e8`xri_S|r5<{;I<*RYB>Cw>a$ zO5^zVWKOFfAUgb#ByQp1YCdab?2)Sj;ikYM+unxP)!i+N#i)$`#TSA99_9IV@CYw2 z4W5MrvL#0erVr>C{?P#cnccCwG}fLQ0DH;>;e;sSjk^eo{XcJg)}kn*>hNz*8l6HuA^m6 z82H?E!2#|=k;rXg#oeT_G2G+%_p_xXLTb&LPH&-TNYyfk(0r0n+|=>Kkef=7{W-sxhjUlE5zz?`^$cYB(+J>R?B=2e@Fw60u8~UauOK461os%l~ z{?Dk#e}3}+^sj5Ua}Kip`%zR;2W}+=py!p_vDg2SAmhI2>DR~D+21Nx&vI+<4!id1 zDqte%&YgGii5B@>|Badg4Mg~}moH%=*q@>t&{n(aEW}_cK}LHG$qBy=4h^B8s>h=C zW9d1zBs2YYME<)vb`Jshb~A5KW0q@dj4A!&$M0Xil2xpaQTYq-oKSjI$Y$X^Cq6x6 z&|n~l`#{J0l9?Ix@=U9rS|+KC+s$Xf9=Trk8O)F30iFp<-n&QE(^FRwQ0@cxTDbdC z#^oQG85yi+Rrx<({?~n|wH5qsqh~#G#3SK`Gw1De&eyMn_zDl?Oxjl{GfXKX%7vc5=dkj4SVA9Jyg^EJ#B`uIX?P&+_eoT-;+1kIU$9 zG#LD(7)5sBl8@bdatC;0=|3zu>`TPkJi+{p|Jse_@*Z&&=IF7nwftUh%Db zp}OUM*bz61BZ;v=f9?N?0CPp|tLd4CM@}R;jJ<8pIvBomXDg-JCj*iTwP9JRxfTz3 zbELLUM|&RyKR$8at^NDQS`3~KoPPGYpTtqoDl?tcSLVrr^)td} zL4n+a*%JrA)DxR)nXQ}`IRE9S{pVboCL4UZTzKLmf6#urd{0HH!<|l>8>{pWnv<)> z^$Mo{8=}MtTU;MGT)y(t$U1Blgo6X^QjW77u{l55P9J{y-z4Bc_tlN?>;7|f;t#u* zm2^7)+5rzbRdiH^(N8aHn%&{zQgm5T^4`OT?qGxPuz)T7_+-$)7{tAvyQ`y}Cew0I z85XW<7`OQGXcc_6pFP*p zqy78$Z~5rU($J!1HaFax3O&6(TMZvEF-g5!JRuD?z^PLWe`_CH>G>-8UOk@%Ew~u@ zIBtqn*(kB+;D==C+NCxS3mz^kfl2B1elsU=TANNN*xYzZF$#X(nr}Le(pYz)OT05H0n1bA!7?;mFjqn}1m)wZ>XTKktt=dJLvydvS>eOB#i539)1uH4?}IInSOp>@ zRkqX8mj2*nK_fcOaZv*@!{Lqxzw@m34F1UNo1Ait;rd`Vw-Fy*C>&yjQIc9>2+MW5aMl#ZBwh2LV}yn6nEBAG{O>bAy+q}pFf z^daa+zr7YbK`{#2Q~fhh6RZ9p9omssb@2JmPOa|V2RC&m+N0jf$9-tEg!6cMIDrK) z{5_B3($pgfzuMaIle2@aSMJ_TZrC_{n9{>TwD0Q^OZYoNU3{GtMklQ1|V5 zA0-WqOx7AHnrd2`8|R(o8VoYWJ%VT3$(YW4iXx|SVHFeW)Ur1-qvMd<3ZdrIIh(Ps zpA0k8Gx(|daJ(wVTAL`hPYK_~{24K&+LGp&p%AVdh|<_Yif_LxQnpebq;oR zi-`ykL{L+a^A*h8I>IBnEe6)rh}O&mh`w6sYmIR)@8(%G3|Y_epLg6}ldRhG*#q7 z)lkvq+VGZK^FBt5i509)TqUT3qM{)33e%bN;Lo3LV-E3~Y4N&rf0bve`NTv*sL;dR zMp=whR8;3|C!lhSqeinndPGVrC5|b?)GwdSqtY$GauJcFq-jo6@SW&zyj5UFiHQK@Y~q#?JR9O>`Cdq^3fW^KB!Y&G zUW9(Qd-vC#(rvXA+xz4KYhl&e@6nt?Ad^%W*s=W|HyR?@GzaS^|TaS?dmYM)T)8`fV4p6?&F z55itW|1$cRlLI#L2+TK}jGPGy#rNvb{cxt?V7w^zEmSRXqRiBDHZ}9&;-N`d}WK!!iSy5Pa6p|7C~ zmE$N&;w~{+`mM6^`E(x#_o{<^$Gxu}<}$2Vy4B54+=A|Xk04ZCboiOXoct;(wzJ>Z zctuY2y79BQLcsVL#|1$cWA^gge)ed~Q~4z2LxPN_iAvE|HV>7gZ@?y`%sZTce3e%{ zuVQXEpx!_b1*tw~@&a0s&!H#aOw4q-x)QlK;L-O_nAVFzib}T}6oMK}^W`!5HAwN> zm6e+r&PibmS<~qh1rh`aV&pk;<@67cesnIsl=hJki^R+O8mk?I;T$RNm72dF(WFDq zg&(aD(k-3{C#so&tWqo}5$qTnD=1`{8BM!}$W)F`omcv2wEbU2o?$-(Ph1Lre7uBo)&>HQd(8@`0xFlP_W|U-Z(%gGKO-i zTCl{SoU&5-_7FVx5-G|$(D@4N#ha2Hxu>5nnJz=g>byR$81o=mC5@Py)vXD+ zwX`Iv-SgERyBvr!bbrdEw7;4e-3%JHfm$_w)6P1IN3Z{6jW%XIpxw{2^hiBFJ4QL_ ztV_GM|50(WFO7|_LFyIAt|xA}U^!3&v`zsH5{js{-*d{m zZq;Dkj%B!J(T>#KSeryQG^KJ>nvw>ZjH+sU)S*0w`7}t(=nlXZ&2ZZ2r{M2m$(PCm zAXw~Tnc0-6?ISE-_nX&es*kXpS;CA{Q}L#jt~w4Hl!)U^@y@jn3}mx!wfN9)wo6_1 z$h1l{332Q!uz{8C1#DVeqri68+p-TGI6dOLw&v7|LJeG1+M0U?6C5aVDWdwC&ZnP1 zpg!1<1S#XV#N1?2c*#I*KBhnfj4(U49m7rce|-=~Qu50vFzHwcJg)Kx6F^(iO}k9o zH~i6KiIx;cyONlaZiw!O7F^fOh~^ZMISUFr%sUy=agdjJQVhOy%7h?@V#9B;mrQpC{JJTsBrda*S~$2_}IM;;_9vk z57b}Z(9*gPR=ze6J`7o|#=t(ui=$_{stZnUMal_?^sZByk6~{u$^xExfMg80Pb-6 z{rkYeM2D`0h$YSx9$gyF+$Eqsz07oIY4M^o)YO8v6Ikj`*}fUbICfr?x4Yk(%5AZ0 zvx4(XNVHzP7CNuSw?1Gzsg+*Yk2Fqn4Z8iJ@L`PP+Y|zMhA+;Kp^)Q{b{ATorU>JwpNnh6)(K;H8`WU1g;hS7LV_in8nIKphB z3UEe;#-bY8FHMoYJ;)n%4j(W1vboA{7D@&l!7%%LloNj$>w)0tOHbwCv!-?1MmupZ zIUl$J`Iq#-8MF5iW+x>ZqQ5V#j3(;UtwvwIELz+N;gH|3(JDaUP$0KbSY?1U=}j2x zkzaKeLOSy11-H}0bE-BH?klo9vEja1!BzUHSN}8}{vmpoJ%7Ew6)-=VWA?Ygkb?Ta zJsS}e%7};^WSp~$p}oEGVJq_o!_>R7MrXU5b1n7fne&hPuFf9}(Fl4{=^ z0_cfIBZqqKDC%U_WzdD#;T}&`O7h8AtJ+7)=9qNrXkYa9m5~-xbWc*vBxJOGyzmcJ zwd}Fppi;_3Dq;}~1`iF4-|#l=~WKJ3?ihok$5 z@kphM7b8jYl9?<&s0hFDe|^!lvjow=<*Sg9fNyP)g5kMIR0RYyL(M6{ z{87e?EdGHeFbkbr zZM!uTaKTGTDGI5=a0$7QxZ+ZFD|3{z%A9HQUw+65-xabpJKJxMYzQytjA1sW^^K&yD{90BI&KYN;*Yq4*O+$9(+RetWKi=8*en%Xx3^_hiHS-5^v7K+z|1s!Gci3evBEqq1+x!m6s1DR*Kz+>a8eokX3NbUen6LLUvY^iy<|!FnLf&P*M1DXTzz! z+5PcXhs)uYuDZGLiNHcwvdp?`E3^HfG$Wp#o+NoBF}X7RTyvRXniT7U4egdGH#Q58 z9bc3dpL)}|+L?6qf7Ba(-Srjm$EUZT^l2?;P+P~1WF z@{>DfBE)|5{`X?G!z8@`dyF>JYm0vFn}rV7G4Qa|wb?1)$ONwd%z974+q6NE<={-g z!S1OHD6e92Ps}{lvuyq6_wT7T(^3BR38&?;+GJ@F$En`$vycrcS+|EFv}A&LuZ8mK z!ql?^^9TCaWG2uQgU#63!MbZzmXWG_qq)DtZ|H^Y@X@>P7{tA(7glZ1-xCr2OK+T6 zVxlvl{eQG(ItH8R-m|bg(BR8p_OLk5QC<(vKDpzqMA<-(Orp>OIhn(|Pu8&G3tza!-~>~L7{8tiWAGDz*7F_4}0x0X(lFD zT~r>sgSzYet?*4$%MrtNQnZDJiJ!_!Rd?(KkOis1D5Lc1!kfmLR~~~cp&=nxA)Da) zn5vrRW7&9k0z(B7h%cW&9>&*}h{0hLZQN=h^{8WM=}bU*Jzv-!X6Dy=Whx`ajeGI* z))08ERtUu1l-AqJ`SyVhhCE^8AJ*FyUmz#HP|bxQq#op6=qij#0dgk_TO8z?T$!yW zj~Z@snD4q~L7b(|BER?l)}@~DwB=a`%-A8-&J7EExo>t-NXYa3`}bD9!47g?exhmj zPP9477Y)f5ZmC8OWmxMX5H;MEkAt`rnhgqh^HWcgAm*>2M1Gf+SDC+#d1mtd>Hca% z`UK*e44~Ql&bQ?dHo1GvQq375c1R?fj2NJ4j7x$@<&D9w#}5xp&0D4Ffo_ZIM4|4*f~n>M!NB#1bRrECr2AR?j&szf&eCa@*`g zd+wWo<$?m)G*^bY6GJb`Nzhb^TfQSLBZEGx$=amrWQNVS>6h7!H07kG6c)_!;S$|%_tbYb}! z4#=8Mb-Umy?~+i`V7%K|uasHn(y@mnD#2}-N7{}3dSut&2{obkvpIkAtcx+9CW9gS zcU#r?kH$Dxx2^h1oRlec%`#}X6G}Dlm38sL4>h5`vL9~ipN9HYV}i1y4n`OrXBjJ89Df$s zTao|x;&|Kjd-tMSAJ)CGEU&9u++0kG(qsP{F7v;#m8@$>TK+0mKpVsf|9!__bGs(Y zf4>{ka8mz=>^&WCDpPm{BEhXm)Vs^S#|37jLeZpxMLu5}m~a>q~xTk*Qh4s-LeQVkX{r!Sa5B2o9V{Nm=N zLYAGAqq0LB?Nd5eSMh*0*ipnk=bopvVPj_xJ+CLjN}PnaYpxVE`qCGxocVSRWu(Ki zt!E*E3II`TYyD11|80s_xCuvzWa0l9y~nPr-fz>^4rZ)!O>}m(D_w>yf1$ z>w*V`Q@2@_rU4VYNfe4t0Opr@((Sxzb3E;|^Q~LAFjgs2Jy_2o_Qv0kN*)poSLwj| zniDuvWF^aS_+&6MHA&hrd&cxG3Um;WP4-&X}%%0>LR;p-`?f%@L7`Ghin@^gz zBX$pmi%xpf8+EaGx%Jmv3hb}Ie*RW!Hs)Fi2nz|cbp;WczEF_c-%TbrH z-c1>s4)M)og%>sS8}ve6p*eG9Jl2pryb4F+~=OS`twj0sdVUkf#D2!!-` zGe+vf|3}z&hjZEYe{0cJQ4;B@j6x)`vLcC$5JITzkiAz!R6=%kWrak9>`Iy0BzteN z_j+Du_jO&r`*%FgaXf!q_kAB-cYMF+`5Eu`YrP>*iMtt}%_>>5Emp58yy(}5X#CAS z)Z7E;TW3cagP{vUe&1KzT6|Up!eA5wrM|~V)OD{zkieR$4fEEH zq2;gD$jn37CMgqcO@qr-ajF@{K;9&X9{)U96 z6e#@xAt5>9r9+SwtyTB{5)toj-?j<}u%()`GWOd$P2~GFBsKk2Z{kGp#~k%{qcS(l zc^_~sfPmBBwjsb3CjNPzX;dF~6idz=I5)xpvBctxn{A(GLO{X<^p4m<08G!SX{E*N z5?=f027;L;*{Jr-!A{r0`)JX{t*p3Ebl(Qfdbt%FPj7zgSlym3;K=^2>-L%nP1lvQ zoN<=wFHLt6P-2#8=eN#Im9qJ|c!h++Tn4A2T=>~4dqbxCgZ)1NOe!c4f^#JmWJ$CM zpa=VnHF7@lp2H}MIYXYtrJx5VwM+}C@ROELR@(zC;|pE{k_o>;gpGBZR%?UIf&S5y z_}X`>p1U<8UPCp{akoKVYJWJScF^B%iXJZyPPu}8x3spPwMoN9H-djIU=G4>Xu_UL z`WMin9>7jKvZwouVjL?3vMTO_YU-_r-~GAQemf&L0Xj{3Ztmi~QAxOjp%Ub@=#wC= zNV=X-?8m@@{E?j~W-O;;*m$GVAW?iN&A ze62jh!s=3QQ;dyG@28|hDQ?fz{1LSg zQELNc305@s<6<3^Rx2Hp|DwWqAI9V#l&^*xnjUbxK5QBQM*ZDOo(X->63F>kA)fMw z4;%!)1mP28REQhQhezT#1X=O}4=z~r?K|eo)iPuk6r}tks_+SrrgYOzHag*X((8os zDbwUaUE#)Ou1AE1>a}cy29zs-5PwbrW$x*@gJg|;y5)Id0CllbopT=Gl)m_0HJuxX zVQBJ5m>SW7uPq1zy4u6Tqk{5A(#~#iBZWl@cqpVN!l2*e7H-5r*5f9;exo{0X2X1> z!Q9Cy(hqeTz$2*8{P?Y{O4v1WSb;SN*qQmD69Z0pWo>zn3|+eOiZ=q2ULbt#=1r;C z5QdO9Hsd+QZJ+!F9c{qhNaF0j0)hhv;HOWYYTn8#F3+FWNM+>ga5SYyYjO+tGjy;K zXkW1Y%&n~6I4$k`Xw>8j>~}vx7=ZpWaBw_8onD(YLGq~gda_!C>qa}YW;DQGwiXl= zylpJ|gd0fAqY7r~fVt5Ph0LsU&i6K}Z=zZ$38K!tR}X#j(_K_mNWG9#P&n~;=Rw#N z9cCwlOUL-2izzDhy6`LCkqmWL7eH);6-JWkG00J`9|XKl}2cmu?kRdZD_$Xnx+*==H@z%o!CaUlz5ZOpANqS$0QZ-=B% z2Lt$nl##Z7vinh6fwO07>b0@4F*6&si}i7p!yWll-#vp%6|laTP1HD_KT`=+OFquk zU>E64^`*RgGgG{i+vD#q!rw`{l1VS7z! zlMfkdQ`Yc(Q6nRJT>73#E)OYI91K@;kbXsVx8bd!#Rb$`l%H{Qzf_pK z{3I(7jIrJKmn%H)R>kB9slW-#k7^qGM7B@On^{@)fN>(~R4`cVh3^!YFOIf;n$psJ zU;Hz28+mr%legf`K}OZ1{P7C;9IB$zZh`cePn&;P!QPpzKqDL ze-sJ$>6-3ODGHC%_fbRZHZVUPhWA+CXG8Qv^JDhxdG|f`rEGz5W9k{i5SPDS{&OSX zKXjxCp=;(C49MjL*@z0aSmwUpRR$5gBaGOYf1ECbXwo$$VKS2H`asWf& z-vxyPStyZr0Ac&B+qVfpJ=B4Vi;FrFJO6n^!~#$aN+#)sHwnelrC0^|4|l|&T$aF| zC4pmrP!KlTzzB|N$^&M59K4?qWg#M%AAwE{AyYaT|a^bw2L=Xo_q#7GQ zC3@&kj+iE*&k$IPkAssh7NJSyEjL%{P4J`$dv+hg%pwTDT!Ai3ag4b9TV z>3>UD1W=dT9Ml#$ea-I#J^fZ9H5Q`aXq{anyS8t?_7fortbY_VW#f8(e|Bhi4hAG2 zF9z|ltqU=5q!n@z{EwBB#PMa`%Ab6foa{B9@3eG|1kipd@gVhR->6!=g?N$XMVJg%8HJHQmcxAUK(`$?8q zru*TAv1WfLHTPph19wH9Ck+B>2O(Fze{azYba}uy5f=&M6KnTT+B?V>nhhWBJKB z2lfy43o_V!{y*gYRjlQ;r=9Y)4 zq2@?){9n6;TPOFKIe2FxPUEn!ivYe%2{<7%VAmiZjW$t7z!ag`>?{;UF<B$pS$;u{s+J_i~tA9b0!L- zzCYOFxarp?b22uz*yr;;*ru$k4Y!2vqj|(9;UWR8?IRy8FEb-PHHj}0zW~0N~6;w83K-&JY~&QZXJG zzg7dTzQJ1Wi3d29SOZr{V`$qw_kBI*IZawvv4wOkBGe+n2MW-Ocg-65P}MLW*9@oK zu}?OP+Y29f%PFO2o31+yi(_kT-L`F$S=Z-H@3ji6u=GwNv__We;`XTnv2&hzs}^Ve zIfe2x(~kaiGtZ6#D|?I8rZ4aj$fsxu2C-}1OVvQw8}#BJdbLTA<`lqQxax<~ls#AG ztQpb=q2PUj;3?SdAe}|9nRMXI01vLH^LDgdJyI;c( zHykO<>{mLTV2ITrVUrnb6P$>M93G9Em`&){`;d$<=9Ps3qyn73vN|dSPPBbhs?|`wY9!b zao2y))<<7zayAF0mJF+A9?5-4|G3&D6|M9VpQlgb^sB3IZPdKFcru7}snH+|QU;)R_GTH*2vt&ZvogQ_w)eU-#VcX!DIKK$pHHEDTl7BBR>}{EZTtm z$m{r;dix|nH^KFeEb~&bV@^Mig?wk47m8oq!K!4UB?o4PdjTIw3jEYiy*>%{Ge@iY z^Jku(MU~_GJjipA{;mD>t0*W^=&+v=r7KEaWMA;dylT7)-vTALkX{^kxD;=jn0TdI zn)eF@vJT&|=nNS7g32h>uwE8Eh+lb2T2&F22nOB<(;@*2gWeo!wfzfzE?0+EG{Prat#E*pgL>ym5=64nvlYU^E6DM8QHygL-_(I3l(>oIo6LTp%!n6LP;V$>x z_Q78td&bx&i;8e>aYH_gD2Vynx4(e6-913V6^|?!Fa`8nZ`esAjP z>-)B`z90ctjux>0C-c#95 zIDD|5adnz&q=fFyw>ZP#CHJ@y-iu1m(#pzhqcDl36^QtpW-2d%LGqd>Cnsk@*e6sK z1RO9>t)+7=l>(9#o=)j5tX}M?wY6UvMi)Hxj_VKn$kuD!k+a_japAkdxYvx%=2PAG zsir`$g{LPAKJ)9Z4_Ytxbj1!<9c70w=y_pb_uS=6m&}&Z$b#7&3AG2ze0M3G9OhYH zLI^{xp^x^Mps>(q;tf6}7hZMSe{wxo?*iiJ;T~7Sp~rEa+UvE7=!vIQCJjE)gb(=@*3D+ z*lh@#Cfpo7IDVTAH+W;(v}UepG+f2;~qYZF(_IEq^|4US*x13uGu_#IVlaFXUm@6m_^iT`0 zD*_ANC6caph7e$&euAs?4{C>Q6Z~7jhRY!|^-u?W@8c5?OhMEod=tm9&XGJrYP(QB zJJw8A<3+i$I#Z1_4+y^>LR11vjuG%YX`~=QJe6)es)zLfx}?aqvr?xbs9j2g(&|Az z@IUjJxZf+L=t&Qsy|o?1fc-q{6X2x1zgL&Fzz@Vj zp04DfP|X-2XV^y#Aug5HbC9veNnmlngS|*RSlI9;CqI3L-5$d6e&{-YWOf+aXke28 zFut6u%z5kcKES>g0WA>dYLx3wXvZFAEr_|SStrPI_~OA8KVN!+{~|$wEfLHnXlB7& zinHn0$6;ZF@)zOrpR+avkW!puz0uQe9d^vMVVkA!>Ldj&plvT+OAA6$(3agv=z$3T z#<$N8#1d4~(P|xP%kKR?P)P$9D#OtkeS|>hSUP8A1@fx@CE!L7)d74qrSlAl8U{9 z!jkmM7fN`o^k9(zsSpe!{DEV~&=BQlxuKsSgK}2TpNS@z+1AQR2c~R@19MS85%XF& z5!Ly~te zZ1rVm_iOF3A@EM`bbr-K&CFDumm|)^KN=W^*&Fzkw^LoCFUug^To{F8IL-#7)|Nsq z15(vHtrE8mrX~RL3*obTf05*a^{CD2(%=#J4s{y}DB(@RC(y{T8VoblJG|8iv3@eu zktYBMHl~Qlj#)*c&JeegU`X%;wLnZUPp>K9>eeh@ym@go!Bq= z@8qKofgMFm&KGQfF7TE}xbcUnQ#VX0DF}tAoDg-zWcSHE?_Wc_D;=?X5EoooLq2iM z-}zn+w()euvxAm#_}|n*#ptW>m6xUuszO@+Xm_bvhE;fhtpT8-GfBrQU3z>?o{E%n$NFaH$+reAwyFqfzFz{k*w7cxx-x% zwjG;@{)Ke(zt$4J9V9&v)x#J@4)NFdm9==hwDN_5&!0&iSreMPYscGfI=_D(S4fkc zLwC)ceUyAZ#H)G$|4A@Rr;bn}U3>i%v5+bxh#W!sH(PpBL$0lGY;wXjQc^5tpMuIT>+gI=k4C%{u+O zwZUmWZ6y*c6KtUoM~JHNm)__|QXS!{*_I1!?{4=dr0DdFBvuFjMLjZ+uTSfQx=L?( zw)t0cKd0kwDu#XsblfjF^&`u=Yhi$fFVrW`-dfC)$3)Hay3uiQko3sqB-B$wb^S}D z1GsYeYMrJ?E0nF?!%$8F$24#KO5D~4962u|7`qT;hgN|ETJk8B&9Bgi5*bj?rd{Nl zfH5^-4z6!W%Z)$LKPYwJ2Mp-vGvEDp8)$bFUE%*j=w#KIt1z%%`nI8=B>0a_c9UIn zCHc6n) z-}D*Ce01yaYzN&Y4*{_3X?$0qAaO5^6Nv=#Rs&`+jjCInVBZN#C1Q4>1^AH zy{{@1Knc8SHi-xi2M~Mm70tQve(Q=p8^iXKYoceD7p`nqL>K=FdWXfOCG*)Kc><(T zaHyZ|`mzN;&QqyaNan_50)~;BSrbW#5*V>7ckbLdrTp&j(sYOmMS<(a5}750(+&f{bNrKsLD|SX~i&!sBQQuLQsJ>6-I6-m1i{a@ZCuwDAFbzk zLAV%D6384YIE%Q*5r|FL+cO6Opbk2P?23iA1m8L^3OY^ZxBpMUv~*5qAGfn8<-Woc zYBAY$5!m3%^G1h|9jTqOf^WfbuZ>r?>N83)-S{1Cx$$Aw8xXq=KA1>D!-ZP>U<(=i z#w1pSvdHs%0hq1!)q`#t!*YRVK%8E>-rhvXuG!Y-@?UE|g1Dy9FlC!{hacE3EfcE{ z0<}}XnU%dj>;{3i5(;Y^&(S)LvAg$Y5H<&@B9hzXZ5AO1si_TZGzy&N4S!=8!RPlH ztq5)2hxa0X`NJ?LkF&DD(2Qg6kbyw>buFo4-Mgy!dNmrhm$$fqMl9F16f3E$HI2?5 ztx*A+-fym><5p%;CnZ`}y}MyT`}OPUQCiAVT`%=$6fTPwu(GevJs5VRcRP&+-3E?y zG?Zq&#d{D~C1YT43imw`J9W90l$10L6B2OyiNV_d{~X-%^^n($ab2{3(A?Sz&Qu91 zIFs3d1PF|6f73!1u8$xLNI0smCd6;uzbReS{q*cr&rvz4P>PaLW=v_R?0zX96m*Dm zgNoffHg+exg$)~-*AiG$KVA>X-xwYbZnow#uL>VwsayCT8)um2_x1SNmvoG$EJ~K= zT&G)2S$03%i|l-iNJt|}H~5id;f^}Y^P6Jx=G98Nc*liEbYuRw8SwI@&~Ua{Mond`GSXA)@l@X&XZAEWMNBKEe8bJwROHrflyp*hF z4RAsC%fn;O=jEgvIyz<_at*i_jcCoFJ{$gdW_&nfHv7}3n8MnPiXUcu4IkBH;xgsR zo@{NmebRPISC>~upnpEh{z%#x$Av2$TRN?(qwX9G3Q7zwn#Y9A$S(*uRDX1LR*VRQFfKptO?qE3Hi_-soA+hUJ$4tx8^$&$C*9H9a zd2RY8eEs#$aQsY!oLGqP$hBY;fYi*undh7BU(xi0er=e6tW^cuN*ZQ)z&vj-D$maD z=3l(L+X;~c^>}<#a}bly8KtB+LCT-BYZGsjl@IByG=}rl2mUF^kaltwyND-L+q5Fc zt6Y1R=iu7MTVDoMANl%r8_svu)C`s}Eti;CSX>V>;wn=u7?|bd7fP9?rJ#74pRaL5 zJ-(w!-kz44I_UQ(SL``1kuMLu%jcJ?ud1ck?%K6B9x3c9?kQ9qBt79$@=ZXl1(MIR zi{|vnHbaHQvr+N0KS!zPpFX*=LHF20xKIK{5d7t)dn2pVCh>N2ZyR$46Gb-VvL4)8 z?0=9yhBpUP(gb7u*_VTPv=;c@*&YA#%fK9to1a$jLLC47E(WwR3$kPe6 z0u%8EnFXTACg#W0Ndt8ibIp5~1l*TPY6|rW{1T97}UKp2%uix-$-ySTgm>!s3I)^u1!)9fka*p{vxTE3(QMc zMI4Ur-P{HP-_B-LJk{1|tZ;cSS~&GAJn*ORo%-bxO|=!nj8N9(iYh*>24U&gzs>QC z!>%WI@}<_~l7p7gH4mcTlSjz6RZ-*It7+5kA9vEDETsSgj~)P+T=`Q9iA{)Gi7vaF zk6N9uD)#m1Kw3B5?Ge4_T>316y~6<1ZpkUnp+3F)HRdV}ieIS9`RV3n=Y32#aWz?( z{?ncBQm}hTg8(k^&W1duw^I3dN0w=DSwA$9ufd~(tdBy~!e?6*0l!vA+fOK`J*hU_ zV8^-i)X%uXc==@2MnIqnQky4Gk>bL_c@Jhp2GuN5Nc4tk zy7dZYA}VwU=8oY}{4j}SJf&6)a2|Nb$4Vl&7z%5&{@@~(0U4FWb#SZqP3;k30N}G!KwkVRF zSM>C9j!ag0^?9aYG@SR}+HUXcF5yqPQRlKNW3N(yiAb2XRjX$~jdCO5M4r>qf!LQ< zn%>88j-#Bv6fc{TJ*KU#O*E;Dg&u-Vi}!JelH~YmZXw+**_$X`U-%PZpDMMbGc$cKtc#L`f{_e}I0DU-(esbN>wvJB2XLy#8kx^?S+7}bPt9}$`cntE(;Mf=u zr|l2{XAw|RRaI=MIaHr=miEvgj3K%b4@@Qg2FFbQ_?%+#9I= zc^xfT6Qy&bIj_+v@CKvYM0}?p;WO*(^r2w#HlOa}c=Xo|7;ukx73&NHB3TNoY%kEE zZdhR8wybMNR4Os1DfV9TBkc2ogB9>=JwMFh_T`a>LbinxL|#*~d6-i{6TmkL`=jjl zXMyLOlTl~^R6Zd9D=2DOqO^fk;?h(P0|D!x#zeF^4P;=C)*#^Av;Mo&^{j;VCkp_k zgn9>c#88vzK1@^v_R&4!K!WZ2$XP*7s}Zg+RJ>mxnX>~FOD;?+3)8s4uT&1;eS|^= zSP095asUst@zwXGwGhoyPYu%*p+w`T8l)hGah;#C2G2xg)S!!?_cxPZ;0`qQEb^U#1 zy|lu=p>(oE%HLU}-^Rjfgb9FV0K}1Vg+NF$jM*DGd*|Cmoj}|^zV63cx68ov%ZRK3 z#41ut9|_e!CsN#~v~W35OXe5lnpQGGipfR5JO%1vmqWJ1uead3Jex3m!*%@|u?tOi zf^~hojh_Bn$ZpaRcWRyFhv9$Pu2N^`<=tJ-$P-#P=mvoAkQ4tzj}vepP(!#-sWQ|m zaXp?^pFc_=(XfYe9SCoEC-`N#^gaKV_zf{)hmM&1m;B9NB>{W62ud~%!#XOge9PYA z^9;OkDVWFboO)&(VL(i3oF1wbdo%}G7$#M@0dDOjdQWqR#yE_BnW38Bc33YV_T~9e zM*wFf>uZj%3Uy<-QnzJM!o8*gXLTBvRTf+yn3n5jSYN=1o)PLytTy z@4j$@K00eqa}9c<7sI^(<{?s5f;7A`T7sM!Yn=rDLbk|VrmlUX)pW229x;frAm4jK zxh9zmZ#duxJ_(OoyKc*R&!qtxwD>dX?5s5TUW_Y4s$2L4Ta3Gf-ieqHG~SYt?yR|X zs}1nQP-|97v&lqzZoGi(={Zg4;Q{kQIf?@rO^>e428KzH5Cdx;DNGTa9pp@b&%oV% z{d%ItV7CV)7MB8|5RFY{q!|B<)7FIPB5Tm2EEt1Ul$C#kEpQUgs_Tn0^q|1E2;2^m zp;JVf05AuTf-fL}JM|?Ny0EEQiD>B1AdDvLz;Lj@_OD}b(UJS?LPz_@UTphHIwTFwsOLyRfQGdc zo@ByA1M4~19h0*R$`3Ysug zAnbvI!3<+`MMWRVC$NHnJ`7AK&T*jw^EXabj8mLQzpiF7Ul1pOIcZ?`h@qCSc0@)- zN-1^1V~nXp50K!QAcxYs0?jW1admBEebkbPI8+!+w9%GFaB8@(EU|wvg3cZrqF<^;60}nssiSNnV5I1q}|+b}q$H%?7@D{y4t>-Isk| z4-N>pa^;CI4o#jARozhj%It}bOQv59_OP&cs>F5X8-qx^UHsgXWDzUOpgl)}-|E) zF>#;^>BZZueAgE`9DN%8#e1KG>pV?1>Bt%>Y!c*Mj0@!&zUs1S&W7t(+VTRHdwK89 zgXe_x-#{Lt1eMM)B%;Am5Ur4aR59(oQeP>OeYkN<%6ox4pTiIqR3bPXd-2f+@RlHC zP%KNVNCamQ1%k#B6TgTt*w7C^N4$Vl%M8IjF$^N#(b{kv6U24k&LCZZi6R2Z45CHH z_PL6woF^|oClqc#wmtqtxjT8&@Kotc1^!#EozO4)$k?MaIi|V~u2cjTpCTN>s3tGB z63!B8Z;jWY3{pV>rxV=vvCBcN<*|2IDpDOoZ1LF?ql;&zrT_vFgY1w?N94O@?@(es zh{yfCy*&ctv>E1TppgIqyf~iK38b1}to!hPCvrj!a=~|}-TA%~&&q|9kf~rt4IrHb zIk;Vjj`>(gOc%i%)n=Q%ZyeuRzcg6=)%^0r-$`LpJCRs@4C2$1%*=jpPes9xuaKai z3)Sb2Ja&I6(rsZ!_cr$4scOWW6T#vd{#srg%=LSfk@A!c>cWf|!Un2JLC z1VynBW?(?9MM>C5kwy3^H#Z%?KgjnVI2O&!%y4?0!&iC)EB6be1N*NaTXzPJ0>L`6 z0I0k$Xc?~t?g@G5x`=FkfYG@}oc{o!Ju>yc_n}DEs|ead z$i*%C&-u6V@$++-w7fH>Qr<86WPH85sk}TCK1+)P-T#PAo=`!iHnlWJ zG5qTTr{nw>c;lq4TNh!)H@9HEf}~7j=$yf?JO48CDs-7a(EOo=+l1B2d4mq>VQ~MO zG(LmtxqNxW{qf^Xrw;l&whM!-GkPanvUfSviBKr~s*bJTQD5Ph9X5qVj9oP|@$dyc zzD+PqAyNd5CW4fpZ+j~rO}ck)v8p^)@U~abDi9jAztu7LIVWh+4*rD^fBcXqU_1D~ zTy&DnKv8nqN2XHP4$vSbLnHPIq~RGtkoK=WPgF+?D;7355+Xer^)ZpW>H^a{g8LEb ztO~bmSei3b6ew$ZqJ4x!lNvYIpn3p;_&+~myYHUn&_}6Iq~a66SQv?qw+%<}t9J-2 z1FIcIQ0o;ap~P^m9iYV{A;m|lBm{r|^GTXtB<~i5I*b4-VSNA&Q0_{yhlX1Re~+}4 zibYvkRV&*<7uOHK_45D6-@T9Df&jz4H#Ib14`9Ysj`s2eA}Xl2ZNS0u1cyEhUzl#X z)yQacEK+m()WeWx-B)jF{qsfaEOjn`#+3dFG^+;Nj4Nve61&vYQsufg`+6Ag`2OfC zX*Z%4jZ*h=W!JI&=LO~gR^J9c@BM9b5>Lj+o!$R>}QcSHXD zt`>Dy_aGumQ}_t-16t0i*L)Q<(KGt@XXV|)tHh98dvC5gsL%Ncr`nz;~pSH=!$hKjqKuK5nF5Q>^=Ud^|`kn_&T!nE#?It)x(Hi6Cvs_!Y z#+m@CO2`jD~g#{PXNrQTT7XuQLQol*LgL3akzI0;;rV5lx&9rYwb z7M7ZN-_4CzfoXgs&Fnnm0>!_7`%3lIlskxZv_>aLg~sk1x&cCc38K%XxpH4m28I|x zq7E0vX0PJZhpB;q=fTAEDOCJf7MdE&jjcSfzRF4GmoKW~+u+BM@7s(z%O5}rhR{^u zzo3}DL~4i;y?2X@FYelv5t95z?AW2neDGKE_dB=uhqTJrCvb(Xek*RtpZp8z%{?S< zVNgJttn&vZ$2~2_-OirrKaVhFa{RPd)`f)yZ6XDVNL7K5firsp^yn#-_j$F`Q2Cmp zyd(hv;t{Cy-Yu)+RJIKnQZ1fBb4R4VCqujYpACI2=d{|1T7&s59NF#R!Su%t9csUp zFs+;OG6v146ey-8O#VPL&`xM8%b{01XmLj5rQgT~T+nTI|K8O-UQ~~iX#!il>`r&2 z)ixkt?-w#nh=3;$sFt~>O}%dJ+K2mqh~b$TRQ|86^zEuLQgdXZ=FjG8Cd#6938aJct&PYFo1p+Nt? zw*1b0E;E%p7jQv^K=_7iXHnQ#5G-aI+S#g-tOoU_>*mSP6r;BYZTPYbKMK-H zeq>wz1}p*u#sjz&Sg=>xCGS7pZ7lAaV%M6#1+@|hs$o*E%a!GU6@)7X1Tf+0Mlwez z(ovXK1nhe%p^*ZN@DR`zYT+B|t*HI4;A$YQAHcG*GY$~_{urp-=b5P_E{X9^{E3&e2Xh|B9)uRxz^YUFs*a?=k zBfFExs$X(=pbaozoV++c(MjlAh@3Srq%v2AfT!=N;Yl?r^VnjVBqB@$%P_>cdc zI*1bC|C`!Y={TEHI#27Sn&2I)kbu+)CX{F8OaJ)r#YebBCQY; zjqLvIveR}!5lva-M4{Gw&#R|(ok4>%7dY=)UoXHybi+kMb94nTL3!`hU;$~;?bT7X z7|FZ^xx}N=8EgNg(ff%x3UHKHAw&)U8L@^ip6gIp?}Mb)l>* z$G#tz4v`sSQ4M7yi^}>}d_{PKcF)Vm$}+-N3RK3MPEa~Y*#w&MCB{cu$N~Eiv2q6V zM0py*;UE(08n%Co^G*TI&GhlD8d2d~hCRDR{ZBW2MA3!NswRVWz*0nX#mc%*{))G0 zqUNgbx)9UwLs9B8>RY#6zZ4{WaX;C!E>UwQ^RC6?%*+l4&3kelI^N8C@7TYSSvGFx zsfVYaH+^`HQv5;M&Vb*HCKfKP--_d?Wx}iqBYh-hUszTRI{CTqa!oiD>(5w?Cihx5 z>#8gtRqU|QP`LO&k%F-;;UG)Foc;Re2Wx5{hb*0^zHjzA=4$&n(?m6>!>+e8ltWwX zDL?OQql(rL}@h!yl*KnQ9*%u5=;QA203xA5k(Cd zSyxEzrrgq64D4MYB_ScX{yNIFBPPnF1)TN~jGn9=sq3fj9~c-xOI7o5TNE=py9&7w z@5PkDb>YH}OBZa{Uz_)?M`1=PB?U$F?IN~@)A75nTUaO_6|lR~>Ac`2wBb|$1}W*n z@54zv9d_yx$J*J(aw`B^q@v$Aa~i;4@A zB<_a~vizs5&MMthRu208srOK9{IMXz&?Dz`-pUGEzX;`)QN|Lo`MoLzuJSc1`-Jdt zTEX?jqUE7z`;MBiyqT&dI5kd6E>BlHzPRNpe!Tsb0Cd|+V=FzLj~&K7kTFQ27O2I< zfyQKY^6w=jM%9tmĤE5Bcr1$Wx0VcVXFc<-xIQx6;)*A@y>Snxfyi`x?YWk(Vl z8rl)=^eSuN=X2_MOzPyMmo#aijop9pa-#E!cEF2kT7Yqy7CKWfWhknw-(on-G-#w= zZgAx5E{VmPy%;dvc+yAUuZlEE8k+d4?D^7wFJH9ZYw{7kSFHB@27#ZH&`f|cv3%UdXl?n}EXKzZ zFBua3a4;JQ^|BY*9q-YP=fq%=v=WMG1$eHkhGT=1@L2;xLS9!3N2P!as7PbYU!9)8 zw8X;B&Ief?4n;J3xee>CM_<;6#yMTuZ8k)F@UiA&!y)>StTT?B<~?HN6%~yEr{&O;Y*#p`pN zoK_S0wj&|>nhKo-Yg>XcEcz|b5nPc8wR4e0p&r~iUWdonfR`DK;>CHcF?ghPff5q0 zC0&>NM#%m7kdix`>)nLWwNQ|8w`(k-B@8j$oKA} zLQYo{;{;w0Mr{PsC+JseVrpN3g{9?3y-H>ci!xoIeyTaTkFDd(;MDc>+%ru##3T6E zjy}w3zlU_sosxCfhOCMcZ^(t6c|1!srtP;-duM_7C7RXItd)46$wHKcvgmQR|1t!f`m_D?#^y{)}qcFQ&h&c&F#S z?vle2!&V!O4c4rG%Cw&U7h)mX&+C+CAL04USQz=>yM2pJrdAm10m(4dw0rGpro47z zACAuUc&04pWg#+_SR>Xe)QX^jkoCU2Wa#rJcW`sAxNiGdYMp!?;-uGVo&zO!0OL3nPsZ@sa#jHWo`v zTm(h0DmL_T96x^1k2ns!kNWIdams2<#=>c!*-PZ?f}w$JIS?&&MA)0?$*Pb zY{7J{tH+%ey9GeMRj1^k+DlMM`iWQaI88$+Hpo)EGp=!F&tYg$OE}U48$fBstI)SIfK|0SYB%~P( zi~LiwNmKoB^Gs;fHW&Paox;IU)SJ#ZT8{TdjQz|ZtUiy;L1&bl!dOv1u};jx-hE&) ze;ffbI9iy?I8{1vT1q|3(+Ji{Z?yTxddlNFU8(N z2;2{T|EVYOepB)l7G>5Zd=^GY{*^JywXa`JfD4-bIRSWUdA6SKVnyC?oVqjqSU=+Y zB@p_-eH(O*mku7XdQ#@$%k+{JKx%#zt<@6|K&C|M(y5tD`I+OA%C zJ6O;8p1$ZT*PU;rcLvuqN;Yi~=+?V;&)a3)-haV9t95+O7D$a>^?J|D-eacTcj&PN zly4*Lxu!Sf*eo{I{JCs@i&loDf2Mi1t?uJ+r=l%i#NH@pVtZ#bLFmIadBOJkGt}Xn-ud-xBN~T;y!IZKzB2vyq?WlFjKo!TmZ+2 zIA)I3^?a|$FM1hW``**2bNxna4A-ttDN0G)9pi60?8FOJs%Bi67#Qqb*B^wtu8Ut> zPzpdPWS50@rS3(^p$Y1nt9gD73wzt>r0cJH9!jQPDwH@c|IIUiGRvZ0%6YnsNiAK^ z3lLIQdWveg-Ut$Mp{0pSuSz`1l1K93uzQ~wZ(vZ+0F^`YIER$f-D~3Kx1efzGy08U z%fc;Y1pyMIYiZ@TqAa&H{c4o5hi+%!NB!#G3O=V{IE->#KQ1}aF#PGhn2{$-fr0px zrbvAFxog~EGHk*61s~wAx#EYW?9C5px$4h&*|9);fpB;&PnFDBWZ&$tCsBEKgRP8$ zJJ9xf>zmtUY{6HFQXx_>0fker&Df#_JT>#f`N|fXYVo=6c7496mezMQ`NoHv&CSh1 zESYR-eLMDyHl?IM1??Ec&dNGlKpql8-EmN-=!1UsJ?mi$zs{L21D{zEhUWD2^-7rzKJL;R}*4(=jk|Un_Fo^C(C@B~t&C)zre!%c)Yfxmp{!lIXZSYO=IMo@`BY0UNzMzcU+M)s) zN^>$JNL`yJ-?Nfb}m0k!qXxAv4VixX-yXeg_99>J(4XLeGO=@KSC?Tz|K6^ zrsS<*z0TZNv-(6nj~E{xA2O6YWd%M|XgzquwC~L5$aitty&f2k9Sis3aFbTn(z_q( zF(2*spmciAaJ3+yez*bt!r1O2_SI2qJqO3M2=n4*p-p;#{Xz!4SPqO0DyC?zDO9&- znj{IWFFGf~;!CqNNawJ-*3ZA}AM!}Xx<68wg$oG5) z#Nj5AgXRsnY;rXKTn1G1E7;g%%7rfDx*JZbU_+j4diiSbW;{HSYn+rD&u^?2C zB(b5YO(_(r9Hb4aoLza7k93Qto1)m?zv~XtU31R6y-0d*3u$;FYGsso$>l$O;2lb; z|;7cIt)KIjUL}uTIZCxm!PQ zD#OI_Bg*C&2(+*)8(y${pC7K5D=RzAZ+BKk%O$&pW*?jCbS#ee!q~gm>{7ah3S(~m>nw4HaOTj&CHzJH}{CoYUtVre#WIS8eX#( zn$B}t7P;*>tTIS<^EO^M)?LQ5;7d=GN8c#q>fHB?g04J*4`YygqkA~QwobCWyz%q^ z=7LSSKf?7Hi?-or$+1pV9Q#5gIQPhoSA1wT<{u27nf;w>N;Cpilea?s{1s>WgLg65 z54;#_$;ic1^-$E))eSV<);xV9T`y46(Ik;R0hD{rRB;%3QIRNd#b;Z?2G5*M@U5%c z>(;24{MJKN@^y>OM@m;y&qJv@Hrj?VMy~+(ETwtkq3Bchdw;F+tQxRptb%KI*}uN& zh_7|>xtsXpL>*`dBQPW9c8ft~1~I0kRmoA?x1gVdI`{n=w}~+Ox+7<%>cV+U=R4{= zTbssu6}I6S>Y&{u{RfR34V1;v&%WgqPkKz6Za*W}G2UbO{-~uiG<-SMuc_=YD(tAk z%J{~JC;K5t$|7Qao@Qh$&V5_NUTDl>UHbzS@lgA{)_H>{XSA%cCM_QW`*x%eWerA~ z>V(EQ% zGyT0R^-h;uX`nv!#a=Y@l42gq>{bZW8Fj97UC$OHBPXT%t*+Bw-XF?0a}@E*D*Z>| zR;Ef^J;HqixmBq&tPDS!o#o+?P*qjkR58?0MseqNYgSeR|5o)Yu_w^jq4#GI>fj8| zT}!@Qs)UO8`ZH^|qd8`S`n0l$EZ%9bUCPydb7;T^NQ)TrOnI8|v zA(Jis5m`Oj(bmkQp+qIe{oCB4T$U5)tFsQEq<@AIM6sM&0S)eX>yhgd=UOZWtGr@% zlDz6ly6i}Iz)~0|#C10qCm<%hGQZ}SQ4i6rW0vsp(AoV>M4YxKax@c;?KXhhUV8}d3*YJ0nYKJhHTE5Na`-)h7bZx1(Bj`b= z_BOuy(&&GGsZS`zt?be$np^`u&n8&^>)I;J1`OD>0TPt zfH0s4yEppXFH8$m6QOHC9}yBqZN<>`Cdx-w6-|H0#nEdwZoJix40(r!Po7+mt9B)) z;*H(sLnCu8Q{P1=%xe60iBh^oQL(LZ8Bl}UZJZx3+}fs6Yoai16-k_9^m3(H+9eYg zeKZPIX^4gbIaKmbpGIaLsDaI}A2wm6Vc|og$@(&7Q4e$%|0XwC`uYN;uzTZkjg*dw3F^ zpsX?+G^^gHcWy_rSNyhJ0^N%8f89VrJX^>$Gjl%} zeg&t#okSJUxDsAJ?0VC8rfO#P#LdEWGSk$Cbp4e3f^+nSeWfh`m`6&g(~C*JUFudfr(;JB*ZBJ=`Hk~~E9jq7VGClfZ4T-lj-mkVb+v$B&@ z9(t~K0QRJ?#xhXVMgzZ?T^gL31E(T6{qEDUkE`@7U$tKPFvz?5Pv+X_oahA z<#avtM53ZPP_=8FPBR(UC^v(2%g*kWc{wTa`F7?5K=x``?Kbh6cHPvv`uf8d^HuYh z%KO^J`j&u~FW*9pVg%ue8lJjjx=$rTn_WUWg4OQ%oAkx zho}d~@TsOz!I>ZF`C^Gt4kJ6()>lkNYNO*192g;f2auSAf+f9#>K+Pv`)u5M9h!Oo zy>kX5SFAdnZ3zSh;M60w{Mnszs0o1MwB#-6=VLW>oaKCR%_PlwG&&&C<!tn;xcQe$(^!*LXYwIF5yWxC!p0`M*CU#?Y4Y9Ia9`io z)SPh%wi5;DjO#f{XlbSe>bd47i+o0d)YqfJWj*4g?L}FXo#HL4s1p&HF-qWDnZ{2K zv8_tuvT(mW^o8u0_9hMS+rEBR4mz`-6(k|4RVm!-MgLZ7SVaI|B?HO^=Y{sHO)B+3 zZM-5~mc<#Em{!I|+p;~e91aSuPF^BTBpU8_Go-TL8R+SUA|2^!{s2ViGW#q-5MQ?3 zG=tYpoQ0b_Dk9B9^#!L({iP&#@XqNA!@+MPHz$~5w^p43rG49?#31~pwT z=01(3vFN6Ug!0dcAEcy2)n5J4tXtou1n7#CKa()kN1i)|Y&k;;#G@@(`K=Bl&~SM+ zi_3Xg-K8YLWtm#)%3GX3LV*?ib?Dq32EY0XJQx#PXiK5ev{S?N;4m1mfzoGvP_g*c z#Ycg76##O9H~*YC0;$t+?aXo+XE2m2dB5<@2 zBA=>t_-HaNPQbrFgNB>+nQ*2`)W_u~7}j^p{^r>&hNTyVX$M?7t-JMVUj5n943fad zpJ}?T9gMJ2P|06TbZtE~yx4nT^gESSZ4r4Vam&tD@*3G(NTN!p@yP3 z<-WKWVx*|X^3q@pg)pgtmFz3mQ^Z^U>i~BA_`Os00x5|}3JGn$-TNbFk_3#obFqdr zaTV9;M^!cg(mq~v)@rs^!f3K9-MWn7bDE7y{$_1rv0uDL;|`_(=NJuNgc1$AZiFR3J|ltR_~(NyE4r#d2PkNU zhN4?x=vTyKLUDr0)vI2=p`N*lAbI6eD35^;ZK@zvb$&|sbIz*0OO~fCaPR=ElS2~f zF~iExi41+YL?EF+Pu~z|WrR)3tqAn`Qdh2=S}@9J9S;>);yZI=GJ)7atyvq1ZEdvQ zi;H1q*W+Jbq_FC+ryA<>cQooRpU5l9gDE72#*}tc@#i+Go9~E+6z!vT7rzBvejFr} z)? zEcy=^M936w_J*y{DFE8f-ZlHcMm*M$ z2V``$9>)scF19H@E6qpyno95Vd!we`4jXID@c(BbO(zZ(V43D-)w^w)6hB||DN>fiPHfdw3H2%MlV>Y>28zJHu{tw1TQ3)! zwbMGZqW@=i(YmGc^{u(>*D+TmFfuawtEjuV`<=snMZWO_sJO@8>*)u4`OE0O%rZJu z4mN#kmOgLVA!=^EgV{xeIeGlCL!nsUF1JUH#}W^WlPe|gXBIx(9FHXCBeJ00a=vLwO+(9pMp-8mSc&2ts1Y;pau+g=A4iT zZ3wPZUXQ(eLM^86>n=fm-kh6k=q1_SEp0{lkpjl6F_&`Qey}mwbe7m5*Y{TVwcSgS z6};=fyFH);a)H^;TNZ{oH(Z)qDcE1&%NP#IRx{Tg<##KrVZKInsiD&fgOh=KWue25 zMu9c-a2H$6`KFuE$Hm;=0*LJ}9c8Vk1Am1$?J8W~abfr7F2q4k%bwq-Y9;PRx`#hqVRZX-+x_HMT$hLA=Ug`yTw8K& zQ&0d9g|tirzY@`TAK`j&`!F`;?EK*Xfd{uS=^NlR`(+1v;=7St^O*bHE(bqTT}Qs- zY}JL0dW4X0*-ffqp=G1s9dDWYL!F`gW-Lp;|HCjoLNgh$mn@tcvL z{}Tt_J9vjK^`?>B-CuN8Cp2=K#533UTj|v0Kdj2eGby`2CJ?{$ZUUxm4CgNh)y79v z)nZJ2bf;_Q`yW4cGtf6ET3DpPYMh97lL$scNki$C+Ov_+CV)N-m=@3Qe@J`pc&ht9 zd>k!VX&6yTD4P zj_%L+JwA`$_wo4s&R_R^I^N?op0DS)uIuT=D~l?0sC2afLVF|@lDs6C@-N!*pH#l3 zv#;g~iX~&E>A{@KVL7y#2Y&7;<-`rwlBu)u?&T?l(@QUw)VQ>~F(7yAjn}EL%qB)Z znVcjFTEt?i2d3{k>bMsC^>ih9Oc>*fO(gS&PhW1XH)+p%S5vAMWN$W^HFMu<9I#yw zh>UdbMK%kI26+yb_R=EFDpF*{hub3d>)HoNg~|c8{Q5FW@QsGmV|!Ml5@o(^W35~~ z%u&f&a##5CTKr4EaUS0{pWNm%B|OZNu3@>wqZqa&68A(DpqN>4S$*d8%HTww!7|e( zt5a4xc*tV~tV?ygb~p`s!1wO`G`3oe>t^GBf^DZpk6Cvee{+qgWDa!WdfPH{YCj_M$0+*1wz^ z0UuM^Qj}xmFkpa{zZ~#1_V8e03S}#3Auw|+A(PQQF%!z_ss~{k$xV%T>K~*-TvXZJ z;dWi!n7G=bM;%|5&j^GWPb@FKbFi>2*ix4F&i2NH>BJ#3xO!DJHHLnEmpQbQ`_eqC zUdtHSCYIDWYiVGpm=d1nwj64B;HV3(`t0aSdY`0l)t>su7OROhmzgh&g;d$cDFM== zft^LQw7hxJE#rs)Ckx^uCMLzOHdj;dcHtb07PLGInXq_zL?JTLXy3|}MI#-WDR-t5 z^I}sa>L0+zZXPiHi+$~%0U`f?)U)}hvDNY&;cc#@`rzf2ExGbwNb#kykm8Fwb;#v0 zbjlY4xaa;et&){>&QAQ-mlYPthXF{jlXQoy6H0`OCx79DiAp~+_g74{OFcCl__fnt z@T|TM94(T#>%Qr5Glm?$Fc!%SpwgtP=~vhSm#dI@z$c9#OAal@Pwf0>acc0eO0B)A z;&t*rzBw>A{TM$kk+mokkx!re+_?OI{?fE#3{7zh6@K|Xg4u$?;LD#oPbq@IYp$7vk z`PyD($_pW%qd`XU%TTj;hrUQUs&De7FRf8;7yQP#YAY2HTngH6A%Ng5oA`P|M^CR2 z4H;3bTYd@dzGf8@w{NiR%U*X$RaGt5f@=HQjvpdvw4}nq`QFPIQ`MK5`*rP}efwfW z!JT{CJ#k_AhCVpC_3$N^Psi;fRc@qe4a{D=xvg#kaCwaACH{??vjBQ{yfe2?M-s7k zs7eayacMXx+i9C|il9`GgF91Cw7SMv$`;hzIedWZ5!jU#CK?V?ie9D`78XG!>*Iuc zNAyV?2`vqY(f0&ENdp4M1B~C_1IOTzk$mB zTBUG2ZXpjQS!}%&?YV05(e*htH62=T@}2ik!Ks7eAx43aj|pVRScIBDKFdG$(V7Mi zzalMWZZ9wy1z`+Sx*`on5RPJ`tnk~RW_$B!L@lm@7JY`qWdm@2 z=Fwfl;s!$#d1^_HkP6V*x6c$=W<|fLUj`9C-lh%PggV8(36)b*KVRt5o?l*_(Vtx+TdXK` zhpf)qvr~6PYumx7a_r!{|%T~%eKYi3^ zw5ERZ%!gz1UHq>;;`*R??sIzxeaEDhanf`m{p}bv%E3QP$GB}~9UJS5OM)9Hw&U+I z#L+b6>Z6ITf`e~6>NJZx5ICP|k-vy~+ikg8>FCWn?pz#_*VDQrX!`x_cbvbHquz?f zM^be!TsQ#(uU6AC;Q8$7`;6&FeP*`<1I-kV@)wpZ@+sGqYTB&Vn8C;Qz%qe#T+K)f z?jdn6gC5R35uHB97Zs2zNu~g8#jlE5`3&U4uGq)EkyGp30u<8GCn9T3u{TYi!`;h?P`BuDSIl#=6>o%j#piIhs|BfHLCJj6%X2s z(jz9C{B&hw_KWeUEgAKT@qC@+HZO{O#f!2f#yAKWGnhD#NS-%}PM_W>w$@$wmUqX6 z4I{5M-2QcjNlsvI|M9KvkSfWtDYs_W8AM$q_aI$Q{iK1O0`qYGXwuwYD>gZR#pCy4 z)z;&WOK!!+ro$uMO@lFvf`NmWlFv8@Zl+-CFYzvej<|P0_!_=To95Pg0G<1U26;Q@ zoH7%zG=^eratdiR{wTX5+P$ratrMyVxRuiBf;B$h?iobbJUki;4|4r01(n~Z%^2d& zWs|4Ax2EINSfq;f9#-uG5Jo;-a7X`-Uq$6vXD!f$=WalL9T6vjAlbrCEM>p@GJgN= z&&daOefme`5{uH)_n>A@M**!G20Bj~nG?lKYEBaR9krF@zQp#?5-RZ?b)p!cs6Ytt z|FO?PSt<}^>)-Yri{+@KLVpPuuEAc!1Mg7IZ%o?BjxtOJ(%m?+F1=CimnO%cH_R(M z6+`pr6s%BZP_ern%>YOX>8XcT(6RP+l@H{;ZV&p-;61N(F76BSo&t7uH_EomIr-pm z4|0EXd$a9@z0KyTe_5p+%%4%2D{TQ*D-QxX7Jb`b!5UH8=^QvQj)~o25R_JkHy5Lj zj8!t_+7$1mmoHzw#ea!XHg4Ql+(*xlgoQV*lxIXk|FDC00p*o3SHNV_()29Osv-EIL9Gt085PB6|m zKgQadK$jZHJ^~{mz-=+GpcaRoUrc|yiOEQ)QXWZC#H_*vEnW9(HoNFhDEgL`nvZ`l zT(1BmX9IE(h#Bb1-PmOP{(I2_eZA*D(YeJ53I}lt_LoV3j7+7Zl$0(4OB2ZZp)>`W zR8vkxH4}A$ag?6wUBq}yDmxw%%y}bH!b5(?;;S2Ygt8PT944a1;>K9eWHxgzE9x17 zoAnmxz$)J|hsb~Ib95-L#J1k#Yk-zT%UYof%N6L`jy!R`d#?c;ctG%W7%&Qgn2DvK z;%iaIOcRxW83QfG6sXzs?oLz?F8}qNYHb}a>iF`C@KvKf*VdR1dmO^CG6|Gn3hiBv zO%4EFRBR`G)Nw!F!y+Oc7-~V9)2Mr4ZgHAs!o=`Wc>XM=9cz)s)~jzoCLtpuyI2PW zCgRl~uXq=!TN{+W^bu5HxqEvT8yFheP3NyjvoqJ(v!?<1A~P3Wi9b)$mlW!aBMoYm z2vG;qa9E=*NAgylq(q9~_ck1*^#ko?`&|oKO3E=_NYkBaKz7Zc^v@P%>RO?{q+%Ul z@^z$c3eog_JXJj&7d669ZhQ9Zxrit*iQE?jv8zx|xO2ks&uc6V)zJ{AAec6_JP}0v z%WbQ;P#m$r`oD_D)zLv0*(}xta}OKfwBCu?78TGFPN+^}-R@ud>`zP=N(=4&$2F$9 zE&a#o_TXnk0k|18pfx>SXR zU#%V(Yvyw<$VhC1G&$oJjoR4QK>Q|?ghZ=bjWI^j^*JFgneOI!9Nm_;yn$Gf?h!6^*)fs&1P0cYhEJM#~DcHs|?HZSvB8EnhV zowV@etIx+5wjPR0J*uSpP$yg8id#I=?u|BM0M`K@?O;CBmdv8Ms9}Au@U~TZQ&Li} zY$pbw#H@d&{`u8QA44LNc;Z)IR*5QocG~2;rzxduZtywhydl0UZzjddEd#Xbt~Gm_ zj|Ljo9^nsWW4oz*`bVgZxO2e^af$TpJdF(JFCZ==fLr6zQt?Pdy;;>J3$6Kg*4d29zoRp@ zV8a>x#jL|aLnE*i&LGC0EKwakZyqhiFt%kcWGoA*YtH;Q+kR$P59xL{ls|no%PwhP zQ=$aXlq~9m3kFquBwTf64%5>jge9$Or=?I?I%d0~{(*#;*iK{(N9GoK!|A0p+aY0? zB9&dJ2?}O(br)7g9?O}7ZvdFRDzZzIlAfN93eAIe*;azRU1u#`IGR^oJ0rvuv^SCC zjsyS6gk8@X?n`Ey^MvtgOU#I`1;$2fD-eqShGfsf}=ZUT{=rZ`BtN` z#8-+x(wkZ30{gN6@Cx6Z<--2r1}o;S+IU>#E-vD4^T5eQ}oj zMwJt%>8a5#uzcG(_?R0OJhz!uya|B8 z{m6wHBKSilE-ErI8Gc9_3K4)4hr55f_d@$ip2n>&52U-IPQMW@&M;Q`565T=$7a17 zSRX6+Vl)Ui04ae>+z6a@V{|?0^|p|Fb=Z-6OjH>L==3{1dv5BMUN{}fNZG;Q#7WUr zS;K(=(ghUoE=&!NpkM}0WIB8^6e3RSwB%xl+6QYmLU8 z+_xgWS!`u$B#*u6*_Kn+ z7X7ivr8SzSy33gQ+F9+N2U!994J@EHmU`KfPXNY)Yx6uEl|JSO8^Bb_JG;Ek-R|Y( zh0^q2P^4o)ad(FS=h{9Ft&>}CV%&%O7w`gz{wwuTzJ$i{^~NoyG-d=LNsAXXMec!_wZ!tUFk+3Ds zZ$cw}dL4fL?4@y4?h(dvrxw9F#2~_>5El$4f&1My)Vwcjh^I2l4v70<02r+^YABJn z*lwTp>BO}bgTy_?ciW>Ff8XFSH$_VHe+dlaUUpryST!h{I4Ah${ETv{s2f(R~i zwaSR;HO6MPjKAwk3;nuQnr(sLW(Vq5w`|5hn)u&}yOT2{8D3yOPq_HnqcE6I zirV1PoR{)PTHxR01&#*{tZ-kqCW@ zeUPt!D9yk~l~m4-uAP4_D1JMar2;3Jg|>v$BK~0EyY=ZL$A$3r#M>{@)ihgvVsBBv zJdVQ#L48ctyFY)KwC>wZ9cii3i6<4?WLxw8d~1}6>%lWGOzLNh3ew4J$Z1isq!i?`>07Woa=$X?5lPm+fjav4yWepHb zYs|5+(atsh_2+es1hF7tSchFBRw`&C%%60o`OaN~NpU+4W6T%g;Js=ShXGBsf{Xs= z20F|1H6ZXKPC=w?V}upR^F&^SeO=Ve-;akad5qb}&jOrCJd2nA08V$Tsq8|ha|aS> zJCcm*3%{l2bsRMMG-kDJE5o%j&(f@*df2XJAO|#dl5kSxbgtj*^eIHv2B%t2?0V2Q z-)P&vqL7RoX)BHuNI}*+Q{o?IMcJssKDOgwgJvqda$mhXM{H{6@y-RDEUIp$A0+dw z8Bg?qEaEulY#>X0lSx(t)~ONIME)#qX5%W5Qw}?wZ!yrmKuy2YVvyIJMo$x{dL^vu z#T=g@3)i#0*T~yDxYc#mx;fR+P)8@MqhncB<28A+njPL^3}^1|-Fv~{F9Nw_C93#+ zV5c=9;gE&=nu3MLJi6tKO`^fiT^?*vpY+dcJ^gBz9{b5QMgsh!2-SgKEoRl_(tsrw zB-W9qO~?*UTa+k@a?tK2Dn9~*K){6`s0aVh5HdY98trggN_RxCt;5fbXID+MXe1v- z3?35jO(;u7g0TdMuLt^v5@RD<@@*3iX1SgT0CnKLz5_&+D2anDDG5IpWQGPFQ_Dnn z$1xTmNCPAsJ@r!;1;^OFlv{}PglSG+spE4Zn zW4T+7f6}n>>WTtt&D1v6Mh*)+1M<__kQix}cT>Q7TCbaB;9R?@y5~=Bv+Pl^9CkvcvlY;iC zCh0GvHm&rZE;wD&A?~qh&Ij7QBeDage<#i)JW3Pfg0et})I)+S!$B6NTZ1b8bZ=$z~Lq&1u~pB$M@N0-=flTrV*Sgp@{_k%|o{e)BJ9)CUOg zXeG)?`q!-8jIdNgk6T~kI!YT^-jVx}c2GnYJ1eNxxBrm2-Z8vRc@-B00L-aRzUT(! zCtNd#(u=4BW)_{9M%30I&wF~SOpWEaXKOCgvzC#S&6IDk!;L%s%+RYiOb0SkYqEYv zq95e64rf=`83-P=4b-;ePy zRBKpg5@4Vt1QU)F@m+X2bab|}@Cc7XQr;Q4yms}E$16G82QFUZ81w{OO)DCN4AntT z5HwH`3ZRmRSqEIL$041lI5UitQ(9;+zdxqD51>Zxv2W?fd-dLXAyiM&X>iT6}(`qrL4 zU77qY_hZ#&a|Up0OPVA9CSCU$NsB8l>o;VMwvwp zwG2{fVRM-)9T+tZ5E~E8tnrBe884Qiyf+jxeP&y5tI-7G4zl&TX&?%Nsp{Xpfi<`J zX!}5&$wApiFDVbI#h27?ZYVs_BNSfyF4wj<@tDiic=NRDW+eyP9@*}>*oKUgt+wf($>KpVNyM zZ}gkgtA|wW38(k+Kc?3z)br%F*1f6x*jHD!q;UzVM5OAW*)mt9F*crrD;IfYUJkWp zfuTi$i8b`9-(n4v4s)TV*$;Qi0B29liDw~GUxDCMQc`k=-6^$3cW9d|>SZAdMPmXLB&)f>=Ibqb*YrBF*nJ4(hGbdlP=P2LeYanE z?ERtX%Q9;A2aqpD@WTI~wY9apvM@P0IW1b>Iw&a0r~YJ7Yn0z>`hm%eyRj{Kow7?$ z^DX!k-QtgDnOjr!B_G}Pyt-2DV;ykY_1>u z7?A4s`eAJP-8U_sR0y$#cs>Ztp~2`MNEYF?ns1VEL>d~K#y*c&GsxKi>>mGgxB9F; z=mhhGY^EkqEutgn-(D>n_kv2RIYADp#$V2~`Q`0@2ixW<%abjfus6+E;TQzd_LF07 z%PM49?xI2W%FU}HlW|0Q7oa+{GH(id+^gU(_a5#>R0-7ng!5JZgdcWW7SH7{^R2TM zv)ZGML4s{CyJ^WtME4;{LF(3;@#MUK%pUAgu!<*O2DD@xW^}j=`ZDu0y6#gXBOlb# zqEW((&~w!d+GO1DA~!k7IBK4{6@|e_Z)22itdd#wnzZxQ&8sj&7|2y|)5Ev_YcZGKyxnL9&gL9{NY34AAJ(yC}yWw8LXP{ONE8kyNxI6@Oqv9zb~-SbBh)o&&oc zLXuV}0vexQ$wX~F7ZM=5ZPlBANmMJk%)c^%9%}tgm8XT$D4mX?1`KhhBi_K9Z$8nn z1A*2)oETE3UchLeb9_sZiF*BJMMw$Wjt??MsnclTpVU!zlgL|n4)bVTN5_y(&yq7^ zz;Yv95f-kSuz?Y}G_V}$4cYM#u4NihM&g)SWHwxlQ8?;TVdRKBK54{(pWQvY_4JPf zB$v88OFB;$`3i~6(<0-c@!CX;IT0fb-;YGL(&h#{#!S@8)2=4L9F^lwoSs}2nNL<; zKyj8q2tQvFYMc~chJEOCHYO+58=|oWCO54XxPBZ|>=^JAyZ$tgG0KsqQ40d$G(;ws zdowX>9QXVub=+caBUq4fn8LGkseu1<)2y2DjPuIiuu(thnbM{1_vY#ek_J)p14%{? z-TA+P;*ts{1)X#ch#-JqB8Cz)d zFbap+7>>PiWh1m9v{~Q}ezWz<#VR@rQ{d~=o^gxK99lt}@@ritq8MS&k=W`H8THa` z#v6#s;!uRo9oo}@Bd`IYEvxl0(^n;vnv%3?W&R15Ugb@VQ@#guGs45QJNdaS#MCcD zgMG_MFgr-y?nKTZ4QRh#88M#0ANwjjeJ;{y0!I3;8FwKeqb=N-3bl8e^^n{ltEBH^ zc{yPF%M{T>gjPLIBj0Fg_>DkDAUiZ5;}DmjX8@-Zz&P3gB{Ip}e;sx8?Tp@;zj*fnnx5QrkQ&weB zWmwIGI1;S0QE}G>(X+vSF_ID5P5)S<@@M-DkWG7OO|O5C7 zl1yWa6_bV?n@{KoFG8w-p{xUtS*&-^`aCK6B1Mpcsz6va3-^_O2JvKxmD(ims4G4` z*jRmLF1KWnqdBjF+>)SsAe2!0X&K3N|VUU1h9_jp{y@EyU_IKuP1O^?4>L`}|wwjEn;H&JNYJH-Q45nW*uXR8TOa zZCC}#)D)7_R^%?tSU zPHV(}aq_k-Web@TqUAZX_TDw@?Oo|NeCor0^5B^wcNwu%KxMHH=!217#rJe$DX_nm zD+A?~bYd}6+UUjd8Rz+{?(Uy{{(WIwdHrUqKd)wFigODK&Ku2v=Zy)JB3d#=ln^S# z%H(m@ie{^0e!`QdaJs4HGD*jqytvM=1l0Pdzt-MF9iKq0{{DNEYY6Mkq|) zG1<Cg$=WS<7{H+ti0b88KbSeLEcZ<87aa`K5~Lo{$f-L6m2W!lPJG0YJNa*1(K)iKT5Ss0_-cl%vFoFU--1~Pce-FxAU-! zWvL(#4=6#al`SNwF;ag(9FcK_jfJVIMxKMGszJM;t4U$wGne$BJsXcR3MzdMu@VW~ zi#z~efL}Nlq8uM(YMl<*oc&O2;<2DGX&hcPG#JZI$=N|BN@HNDi3Y^|kAv_v$svIx z*R@9A+{%7F7hG!E0iZx=;UAzGlO3Ol1}be`Tb@h<+5$Yuhcu&e0o*(?Z&x}0T{5@0 zsKMJ0Q;tyu#EnKbk!d)r-nBlc_@vErQAt-6*wlc-cC2g zOQtUgc>GUNNgMg?6DQ94Fn-6RDYACQt*>)4b{33TgVMI_`PZ&$}$Ycj^F@p zk7!$d$;k9euDT&Q^8^1RlUcY=B}BSw!D%jyXFmlS*K}?p-)lT0AX=k1 zYWStoUs>#aG2B!mB^FI4jg-at??c;!?j$EKG&WKoKTazlP+;Z-`@33(Ef3o*vN-yb zY=O&`xxe%J7{wL1KlS35;o+Q~`-)=gwmw^;ew2eAed1V#XUHDE@!JBXVx1SK8e2H7Wd!9KquVjR;@9d-)Lr?V zO-(E>vbD}+EPU}{z{%l{pPnEfj3JJsY|U7+=)(pIqqZE@c$M5e;WrK=rbyki#)x?X zQjZwWd#W!%NlO|#4$n=#Bp)6yp)N44{K_15A;F391HH5f_CF8>`a;G}g5t_^AF{q% zUPrf*BW6@XMnfaiqDDUKtCG}&<1K3)Cdn{et`LP!@hBsE{Wf5%!BO&?*Ye5d%x-Mz zIM^w<@#e;MSJQKpJ**A9XT84#DcrVw;PZRsAL)?w|AkcgbEFyx&JRp$#M0GDRVtLR zi)3YOfu-`fOb??ohc5fa*W)Yp^5!b3J`-=$P+v3haVah(79;f|pD_-~!dT%~az3bk zTuE(Na6|U-W<8!2TRnaq54MR=Em75`P&m&;+A}c8ZL_6G@qV5@d)#dpOW#NflN#Vu z`K!NNOiKe^;X_6peEWs=$M-x-1U~4QNBc*p){k(`uq-aPYx7fbqY6J692ZTpF?s)u zEBNa{lY)I(`laX;Eismg6$L50n|O{E2OLmcqFS>cyZU2ggj-Z>FQCO&sz*;rzSI;U zOT%e7jD)~;KJkRROQ<66MR{~SIJ}aZFCC}Q;F$h*{enWBUN8P%?VnfrflZkn7|3sD z|JPx2FyHz$MQW{&5?5NIZ9Ar*LM)`RcRbTEF0Wbo_XLw-Xnk1w&BQ;RLUsEvl?GUJ z>-X|Cji#S`5_TNhMed#g!*IzST&K@Q78Y?IHRk~q7k2E!)^i@anHv^fwkW0Qr}-T4 z7#JX?D8UDkKs628@11S%a+d>&hqdUt`viWF+}7L~tgMhDDK&PD}_y`oB08l7j2rsPm6J*Av_ z2+A^`kNi4d?M>Ry>~DYl9lU%`I@SY=zF90pMD74TKOdh|CF|6_`*!Ayn=~#yj9U>; z)^Pp;W?`pDjWw(K-&h`CI=A@Y``xwiVTJMb))h>X7t6b)rOg2gHl}`R_*}V?Ib=Y| zv0f8$qC9Ek*1iS%PZYfoSRNTA*K_C%aRCz~3D{=w)RWp_;nvkZDo^hWn#V+sfPH-0 zGN2=W$7e&XVDLfd0(jh=o|AX2QXOB~DMYU1yHl~uP4GEm+uNDXRC?;wNA9ot`c1kk zvL}UqgI3#@juprF^XU4T{3`RMecryf8G@T>G-66Fard3S13SC$6@>sewqIECg=Z-j zQ<}A=j8ffm7YTEN&4VmTmDIEMHDVVnNzZ-TRiM6pz4lK%LFa2NLmB(RS`64@nfnh- z8Gm21>+-K#F^A*&>Pm|^MAkdyh%8GC))5RAu0AOtGe9jm_h{&i7e9T=w#0R~JGa1} zadS~BV6$^N6!7Q9@hmb*9iayvJ+3RX{2s79`t{c_>k^ewiQ^?*;wR+TTlsSO=8A12 z?z4$?e@@S#j`dG`q;)vglLOT&!0)wSSAO?(#Gp+i2!1?gmCWT{AckpO0pF3Ikb ze5cbjEziZIXqCGSn=H!D)jVEKmdff7H&Z4lWsoNHHU77}%C=?F0$6v{E!^DN=E&PI zU@F#SAG#+{q;RN-SN)CtssvjPH}YPXli9TKS547W+q6e**$Z7ivNzmsIh^-7fx$Q`A=LV?sT>W zZEE-+Zx=TceuF)Zc9y+Af$?0Y|iZqWmX4rO#l)Bd%*Zi3>*|+M= zb=fC$mI%q2Tr_`J?#{G%21snKsV zyB3&jD|Tq?ImhI2HMx-6tu}h>87elMEL>JfdQv@-Z)ht7ontEX`G3SE`Uw3Fj#2{7 zVowaRLYA@_@5U_xcY)r(#l%EsW44VXh!uo$(W0C}DrR_9w$qk?G&el*^%;17PYWdx z(Y2ZLpLn;6y+68X#jklc)6HVFAF{QvM}DdL(ah)il281!^kzLuYG3nFrvu}v>PGt> zhq0~}*%_hTVC+c=mau!)Z2U=SdWd_mRhM?@=mu@C382o|m=C>VcEH=sDkw zJko0~;qW-jBdH*xs_~<*_ot9UP&ZY}ZC+4Ru&w0AjeDD$xmE`2+Xs)n8wkk!&gG06 znsIo5ypA7$VS}CsoxnD^yKfD7O=Q+S6uI3cX_DH;44!kG9_*vcibgdh!Ada)2jZ8s zKUq;+%{xR%nIEBT`7-{3-l4v9eeH`wZ1X~5pJ=_PB5!L4a37mWpb6XR_@F;;dAcM$ z^1zdWq5b*p`iR->Q?tY!7Ul3QvV8!tO_0i1+MUZo zuCqY=&kuYCQ(Mv|TR$>QwL?ka*@v#QH96;&X_d7q?UTE{qr_@LOzo*+=sl_RyK72* zYwN~7UmI)pjd{6b=QYhm5sBXG*Yiuz`Fs)=Zmu!*yl_%?iNg7Dod-9Lyp8vJGR8BI z6Do9RL}iD|QU}(o71pPDds?a8QCrM7Jjyi9ySS7^jNdicw8zI7I9A^0EIJyz>B~VQ zv&*&(Pv*0~+f&b>yt&z}w57W=seV>g&V8`>z>`CMnwh{r#vaxQD_B|OF;Om5B3hzP z{n~g>HN#1;N|JTe5XIp9d;Vuzr?oWeBlBcpJnd2^r&YeCraye87v*q&QSA7}Up2{7 zXDxoTpD{SB`n!Vjg4C{0O^)E&*4%x8bIW4^*%~O7m9&AddgTQ`vYS46dEBzy%_*qN z!`J;|a_7e*Zc>jP8BY8x0$M0hxb{JYT^au^-WzvYmraJ9Q!F?+<7v`GUD?Mb zcbcO?q1Hugfy@@8*hH4?vhau=+ZV6Wp>rRv&aYDUv~rT~t5Kl0XVSH$*3H z+V8HqYQ*gv({{x0zM0`(d%r7QOI%JWPY>P#VE2%ougvVug1A@I9R3^8JjIcRCf?o6 z=NR40;gY-JxW~5x?B&-}H>|QOoekJDueDk*PU%)#X)Mj<9`n5YAuSCbG-EdD+-zxh zkRJ6qwQ}(Z$qBh=VTsz_D^aV{#A4cq<;~2xk8kyWC{`=;%q0+kNSgH$XZszwU+ThV zeJH#^PrHoc6PpveKR-a%^{tITwyzsq%zW&c?iQEL46!yEe#kpFZn2PQ>JoP8rcEZ_;`4W(y{Als1evV+s-9`RF5tk14u z_7jR0HjmzaSNVsfjF=b+?)O1ndhk><*S)sVr8N3YfHcoyVrd^;+rtREtG} zl;YciDre8t9*^REH-9-L)UZ7ut+euku3+(+-=m9WRiEUs6j1j0Cbc*>x|Q{*4%+?n z4q^MUdX!~6GCFyoYeC2G&F!YQa$KFX4(xAQYIY}eQzms*N91UewNDn*w#0}&;2lVv zpA#wpNtd7jX~_^KFa})HrzqReJo=-Y8_%<0-E{j$DPhxNdDI}2%b7IQWgIuYX_vCK zdYz2KjT_9T73Z_-a?wyZNnSv2(}hMpp_hl}h~Ya%5|^!F9XYKiSCY1Y&Fnc7Lq zIBd_euO(8?OSXDY<&{FI{FARHi9=Irkt-TE9Jk_Zj^r*>3${12Ht#>Aki50t=ut}+ z&EG?7AiT4+??Fy+=rjHjIhS(o$(C~My5e?7r0|GWwRE-DbDPT3mD>s$e8oNr zMm>^y-ygc=b-+?5{o56FenLS*CB9Wt{lzJdP9<9JdSzQJ+-G5Ab1L9-X|V7s`L0}+ z^2oRS}=R#(CLc3QW{JLchg!{k9a@i&MEJ?Ua_|6;=Sf` z<~vV)@)>H8c#0R4UJ!(ZxK2%^Nq7MaQ`9WuJw z3mz2hwm#(LXVR7BY+QD^s+DixWVru#nSHTcWox4DW;dR&@yOWM>)%a}*zLww&r$m8 zKw-~zezAuKZ4zU~=1I&%+**$3} zkEi@ye-)H=iv>Fze8^ppN$sYvHD_x!=CA8pZkSiCcYSi*wgSd)KPwI?JE2@}c6%tE z&+v_#R8qEI+uHD$mD>j;eC!@^-H_=V)mi?k=xpHBhN5%c%^{Cc$JLo@q-y$ea+@6P z2OYh}bLZ<4ku9T5zG83p*SzG4)DpezQ|+V95@vMf`?Ahr%!2 z;KRH9YVc|Cp(^5(O#W4R-plLkhF7w*8#nsf_Uh=+bCpR70iP83i8MmuD?s-F!J+pZ zlW?A_Z9Pbgh!27ielbu-MqJSnQGvnq9dbR@^ER=fkC8}VVu}ogaf4L$cdMI+!DtkY zuqyM;7lmw8G~sUtH4()Hd|1iPh^iBKe7ZD<_$H&VQ^0@MJEM$M=YG6)ElY)X@qg0T zQ0ej=vp;;;0cZ_cGC?PKG#W=)GXi?VpIa;Qq%-JJ`ZrpE-_@^VPc~FoBMz1e`*7KGqz$j;(|ytNg9KHPDl%o zw;^;&qRbH{l}!a2O61XVaMeZuecFf4E&9k+fU^zSoe$?4HA|6QmyOWtZ-w<@r?@az zAGB9}3(S9|vM0)|V8mVM@lKl%^6nuT(;?)|zC+=Hisv>CXAxpEWh9WzD$y{QLg1enbxi=rU?O^ z;>ph4s{t=uY6CTxbLl-}rnTd0U)N^N`wzB0^SEH}XDjofQqU?>fuz%xjgk5^1J-~w znHOM5^uIeNd`<6pc9%WXY>C~{*JCfHmn2GCmzpi# zu-6FaoVSNSODB@;J0Y#3S(N=`ddU+bck+S<2zZVtWDq*#IQYhwR{v!JxwQR7IZw(M zKgzi1vqqKGd0TbfW`bbTfVk2B1;Mt-<`A&$ahvSIM2WT#8P~lkKX;I-6C_p=2?iLL z3@0=~`i-920NU_1Hih=3Z~D*<5J726gzDIJa5e>oegTCPGa-{wDlzbT0}twn7#yamAA;TuSR(`iM-Z$i!28C|jfM7PMx@W}APW~T ze@uX?$^@s-93wo^ayvfW6$&z5jBl^)Rel8xn`5z6HC0u4fa5uP^fkN^fHDIq?w22m z_Z>4owt5Don8?Zegd>ii_u*Tpe=^VV7J_dEHl zI$ijHxlZ{wgR5I$3*;($^c^O2US%xF*sAXK5UOPHw7E%F>!ew7a`b=W@@7!2?*)c6 zN)&`a)bz{tbk)Qu>M}t70R35E$j1LVf~jx<9=t%!wV-5Alg4YKT9zE07{9kCn(SepNpH2`E3!YPy@*7G& zz?TY+DUx}wa`0a^uKsJ1&?UWwk5KB+8sN_TH_Fw6=#+V*4|)|>7)?0Agt<$d`pV4w5T{N8tB2kqMFhg-+N68b;e|Y4z zz~C5=BP&O?LT>!PV0>_X;7y7R^aZ|pf+@EfXU1 zFnSH0Cen%|iw7w23#efx!5w@%=I4QJ3T(YNgo>e#bIY}C)C80X;f|9<HbhPDOn4q19$pVMd5_`OTQcy@`cg6f zUR0kLOkr% z{svubjI{!ew^zabd?y~9^%)^N>T;1NK`v5Jzk+2Zi80%ISK-@`zMHXo%e9&B2W2P` zDnp?kPYw~K6`-A=5^vdtGxqlj^%>#%!zMw+hjAkF3@Ko<9XB$XyoR-W5+}s)8@mQ< zaDr{h9L9G7RV`%T#RWqu6M=i`2LYiDFlI=ut*?|Hd8@S~$}tE~GVut9eD(C9@4oW` z^UWB#7r@g9N6576DN9L7We!EG+Sbvwch4T_(O)>8UiG>MTd6r^;{c=$ZW<(qI1ulQ z{2ZD=5CS}^s&@chrJ{C?o-+ObfP!#B4K_U+mz|`>4M~Tsl0)+(#?^Op%*n6N#%p$7 zOAUdcS;s?Ryv!L`jXFr!_YGT;YW+)*h{&RG-f^`^8(zH=jo79=ZbiP^gE4{h$^9~JD1NWgZ1;Z5Mpgvl}5 zQ!Db#ndvOin!p)0M7oH;Y=678s*J3VPv_Vx)NbS1mO9Qo8z$wakF1Q09wBFf@6~{o z!@1QRIOW5ROkR^5Y~SVIZ}In$`(9wjvU(l;dEs2;z$i6(DBMQm<{|z2WR8;&wd^N< z4sg`xQ|G1Y0IouBj3M#2l?d?wq=J6OLOCG1~RzWv#PR>sp4@ z3e154g2Z;yDC}u33fQ$?-M5GYC>{r^I=c?{5cD*M5izMf`mcr9p|xdrc$kdYXf6n= zX)$us)0{emU3b3Hdme6}AR(*|m(<|jkqW}W(82F|sd%BL#YI*I*n5N*MctpUs0C5%L=%vG;>dKY=I2V6rh(a*{Nb)fJ3zaOP-PoqZ@m_2J)k*r4V+?@vc9fEgtchdnpl z-dydBH9cONwA1z$gga`f?PI3ASKApImEn|!fBnsx`fCP`;I6VM7-O$;iX*&Kv$;_+ zHR-z5&CMFYa3XCn$sEGRO=I0qWeV&t2Qm}i6At3;16n6E% z3f#>ge$3S5>f90XFC^vA`+p%RO(q}$@YAzE*3WP4vmBdJ>$F=iwM0mW_<+!%0P{T6 zAVMAOEJSOjgwI?H*?j^l7YE<**MH!e1silxY=F$ip4&@`?Qp<?|mQ*w5(=Hq#&gYre^ncloe+aLYE})0a#NXozF$7#GeaLUb>)7OH+d z)6F)Be+X+B0=H`8>VXDViSu_(;?eO+9F(g@wxZ$3eSg$jZ2#qz$1;wr@3?++XY718 zm~A4(GpVp?6Z&_HGJJ$=973C-{GpgHfeH-`4S#AJFb94wN9X(q!qz`SDZZ zQl929F!K}GWeYWE_Ct*!Yy8Y)W2y%WL4E7RI7N3ZmVp5_&u(IgdX*k z9{=L9JjU|m1rnVc%b9Wb1YaFq8uo@fWFg`Owzx`Di2IB_ZaU?MP&oq8Hyv#>%tJ0?vMS+Ismr-~q-u1^C{P5mrc##RxPQ!j}Ot1$u zP#|y`@eVLzLdS&LxG&mH0vd5dQfGp9iP``O2#9RGuIgop&b$L76UaseOVW9UvN<> zMWPo;TL}JMI$CE{VFFbndb`nh6 z`{8mPm_ZW4Wn}uSVYXd;1;I;i{aq3z6M<7=Su-=G5fqxKdXKz?x7(0oQy!Xq0?ax{ z%=!_24RMPgCTg+jn1%jdS2D2=M(|L*@Uk79We|T;}9|>iew? zB)C4bQn(3m=pdbvuL!#7FcX$IP>dmfLo6wY^5Rsy@(^VTHaa)ou^@d@B+{G1WpxXGmseDF^0_yv{?D83JxN2IU50JJqqy;_jc>Q=f2o~RG zkn_*zkr@eaLfflp0kk}4q@GB_B}n#>PJjqL(Ttdi?&%GL0suY}0$+p}y2vfn6ZoIK zRs|Yewz=2qF^_}T45e*IAZqAFOOr$pbofTlO@uTGM6{OO`2j=M$JnbR21oE?^g*%U zXmb+Gmod#g@Hyhy0fnkWAae;@i6BX#gF(8g)u9p0s-GT;*oRPrzZ? zPqGydBwY667swD!(99r72NLR%R5y%|->q*;W3W3hYKaYBzT*qkACKn|sJ|G6L?FR1 zFgP(DSvC=wLc}^I*>22ev-blF&jCnDMtu1S5(-@>jjQqz$J_Dn@`65!-g4p0cQuLt z#2f{?pa*^PY9TQZdHZ$_SW=UFjkjIwr1o#Sr=$G7E7ib98K*rE^~A1)KwMLK7d%y#?zmv4@Dt znushh+!x3nsDJXpV*bHpFQj(n^h;+VhT{$CK=6rA1x>MRvt$^Rv{Vo~EH2G6WMW!Y zP1&*CsH5#obv65BDP(wiaEuZ?r&iZfFAr^T`H)a@R;$Sx7G^vNeI&n4$G-9ch$g*b}#@oyN z%WEF}@u#kd65Fl}{w7hLCIKHra)|ID`uB0Sof&>@XYuSbG8J)w%aM+I4`q|K4n3@r6;n4?jEwTVuWH~z8_EiB93!dDEcg8xmlzrlfo#iljT1!+Rxq#6anW%qLIEf&~lE zR!7jc{Uh9nMK{-oUkB?K99>`L5dT5o8i>v&XeXo>XCFc>&i8Jc!Nf%FH3UqL&f(I^ z&s1Q2NDK2a_#5O>9`LE&z48)gW)hD8MftfpwQlgqmx)kl1caOO=0kSp=COwEAft zfoDR30lrG7Rn&Kg3%oTpwMrp8pS!m_Ena?po)WYj{Am(V5(kE%g+mq-hJ$G9Vh5sM zRQ{IvE&0wd=;g}wI#%KC-{tcDpn?+7i_%KF%WA(JAOi1*Og9k?dH|{p;rinkZy zwP&@(4CKeEUa`x=Y$`#eqi@l+ z-d8(vcl-nm?YmQ8X04a6-}4r^UYqZ~c?l{SOOjXzVx16+i@vHi9DwIxf}OpPgFgX2 zZ5om8L(8^U?@$C`ErML=exeO^{mUr6^qy)ZYPsZm!31D0*5mN;0Gler_ZGp0K|&Xa z=PQnJ#Yj<+qx;uXhcDC=`e4Z4p#g2uxpOS&5+Q=|+MmL8>2*y_6GQ+yr-z|D&O7oR zlJ1axZmfscAW&{C%KE z*FiG;o9{;}*%*{7_M(|5#5ek}&PV&rN$^2bXNb-)Q6a>O_8=?3m2nx>pKq9m-sxpO zqxZWmE`Gcl0Vk2?VQfSQ06}+5d+;9Gw$W5XScp3emM`hqRooFKMY5A*&9n1Lzr|6Q ziF6#1mmy(0&YsfH{+hYd=Dp!Q)f6Zm{#J>B7z{C;BrQgcxc}4Jd4ENHW?>vxH=9IB z%pP4OmbjK!Mv;hEK+q$Kjs>w0kV6p@EU2hd0SR`q*%+maEJg$s5tN`Scn|?`kHH2C z3J9WnQ4nduNC}9v{oG0RU)cE(#v?QD`@Q$M&%O6~_+cHiLlNJpfQjP{ub~VxpCL9d z?+oP?Z zU^FXCX8@0F_v@yxIsYj@BUivAzRQ);HIPG=UO=Cm3^|HRE^~o6H>-yf&SQ~b7BPNV zXt+i**f$f0YuxqfgY-r1{BGr?^hVRnw$d$3M;5UTCL1)1QjC@mjs-G)@Z8ScKAtm{ zuAit^`Mpbi73nvD#j8!Si$AG7wN(g8=lYZa>(yk5eIo-!Jr55-5u^c}y$F)dRGY`q z5oR-98O2kV#}gwQAe=Fd7P1L*7p3Zg8BNV?oQBds5j^Tm3vRfzWj`G~+U|i9h_DQfz4C}?e9&k&F7@d3{FjO#+yaySZTUvXRVyUDB zo=Vx(_u*3G-S6IBPWm|{^7&jKfhb(gb>(0RcTscPgFQM7k-4m}qQqgaz^2bS*Zf z&yJlUXYs>e)mSyk%Y6lC4<2i7p6OUUc#6en47w&ygH1YCjhCT;($RnB){=R;@MI@O zZNz3}b~EhyCBS1HwPEpnjVkEIUf(oFntSJ25U*TSeJTfGQg|mRn?%N$z1MsK%Wt4n zbhWfQvs0HQ2X*>t+xXjK3H*j{yvF5q9SrGr;55i8UgTCwQxdG9bm*+uf%p1vIaos? z4DY;7t4+R_T;~dTS z=Z1dklb_x<@pEe0ek*6p;}(25r4m}O#%dJuBNN)wkojr$z^YW!(G_}e=yBUv?L@9n z68I@}PS!U9Jw%_|%RmaX8}BOmtIzeOH+Y+7K4aT(a?8~vqjgti9L=NHdtu}2!&h5B z0vk-ZSCF#QMA9wCtEfJ)UFEQxh%;l@$s=h`)*N3h`0wtRC#d{znBGL@AEwhOq zwb-ppDCmHXpW0%g+F$0};}V@SZGqXb3hid(Js1zJnHDAJZ;>~GHUk}L4eB8Gse_B= zKUmwvIn{y_Z75laV2wFx>rkzBF1N+nNLy5&4=}| zN%C|LtI(<+)jg~-FTXNb0sCGEk%()SvWxzZ7&GFluI`0}&*AWzewl$<+0ICzcNoE%1077+?Tn7)O7WJHpvjc=Zf+IoA$S zZaq$}H5ZsGP)mm=ci2qoJvl?y3<`uVag7QK2|=mWDXG4wUv_zz#G}H>Xq0UPUI^2O zp{@)S`3D+tdL6l&hYGCB8#tCk|CQ9%+w)U_i=rpo=O~jIr}%?M-7_A&4x&;)(cwYo zpVtWvg~q0l@J`c2?Gl*vp#|?R0>ph^ze4v=>PI2Rp)^Q$8tCq3+Di&+_3(RB@+jSD zdMkbzpdqSPDnaJ*ez%kv&aO;Pq*Q(86+R8aA-MQf0L_ zs+6A-Q1oTnlCu+R!bVLqf8v+%nHkg zaa3O?kc#m$sequvpsP{0Loa$VJbY3tQO)Z3G9r1q>elq-vYKuRt{mroqcsS$EajIw z5@Np>-BOeNXkZMZTo7Lv#Y%`?%!vT*CUYGV?zQB+WHWwxVB6N{zu(GEb2Jo!e&+KX z`%_cPg_BL**97dw`9UOzCc8k2~swz!Fj}%w!rNU5C z8kgSp5qbV0lRsGHga=tYFg)UwL0b@=%PmA<6b;xq=u{a0FfM+aM?_ z3HjjCk4*p9lJMUqZ3uceyIR~nR|YTF)4R#DmDvg+tf6kRW4amgCXsSQW*0E?dcv{* zR(jFGBz@{&MU^k&jcS<%)`HBMw&AqePPCh4zxvngY|P(k1^S3wwy5Qy(IqPGc{}4a>o|2VLD&5n z7%e5ZHwdc^XW9Km(BSH~_d@sV-9(8YZc2as1a|D$?@1_)nTOh|#m)u9zeF6u=YzD) z3UG@`7JqDfl_CXC$iRXrqceX>TI?80!(2W*O_34u7=uzoja#(fuDC4~OIk4(^rnwM z(Kx~@_pA2=nyWw>(cP9pDY7mY78qmhy@C_)fGe+|Vl1L=9R!t1_|my0(e1C#9qx|^ zNC35qG(RYN7m4QulUj&S;=SFUn6v_wl8PnKnbRVO;H4IgJd~JRqZAz2m zbBo>AM2SA~%jA#y= Date: Fri, 26 Apr 2024 11:20:19 +0300 Subject: [PATCH 44/98] Update student.ipynb --- student.ipynb | 46 ++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 46 insertions(+) diff --git a/student.ipynb b/student.ipynb index 1fa10f1f..748ff986 100644 --- a/student.ipynb +++ b/student.ipynb @@ -2654,6 +2654,52 @@ "# Display the plot\n", "plt.show()\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "Surprisingly, houses rated as above-average condition do not exhibit higher average sale prices compared to those with average condition ratings. Further investigation is warranted to comprehend the characteristics of houses rated as above-average condition, as this contradicts the typical assumption that better condition correlates with higher costs." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Assumptions\n", + "\n", + "Now that we have finished cleaning the data set let's begin to make our initial assumptions. We'll test the normality of distribution for several independent variables as well as their linearity to the Price. If the variable appears to be normally distributed and linear we will use that in our initial model." + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "# Review distribution of variables\n", + "df.hist(figsize=(20,20))\n", + "\n", + "# Save plot as PNG\n", + "plt.savefig(\"variable_distribution.png\", bbox_inches='tight')\n", + "\n", + "# Display the plot\n", + "plt.show()\n" + ] } ], "metadata": { From ff462da6937f9ac13fe386a09d2037c2a3fb60e5 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 11:20:25 +0300 Subject: [PATCH 45/98] Create variable_distribution.png --- variable_distribution.png | Bin 0 -> 123722 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 variable_distribution.png diff --git a/variable_distribution.png b/variable_distribution.png new file mode 100644 index 0000000000000000000000000000000000000000..e17bf6d2d416f437a83122494dd687aa28ecd1a4 GIT binary patch literal 123722 zcmb@v2V9ib);)}x*wNS(6rzlZqA1d&Tai%#=|zf)bOEIZqLjoI6+}k_r7OLQfON1# zP>>=pAYDb;jDSe*-#SCNCilMgzW4jT^GjmTnP;AI&faUUwf6SLF@;0y^Eu|Tv9YmJ zC;)exDLzn-AdSZG`wSp(!%SB#%FovzNycV8Av#__{rX% z`l@{^ySrLHCHJRS80&sbUaY}PjAK6Cy>`)coYutaV{%M~<z|^synP-Dqzm-{#HXRDq?-mbtHv)`+)k zUWxBY^}2V@py!}baX@=VGrnw9?(KEvBbFC^LXUWJSd25G<7?~IvTb+0^2^kzxO(%f z|7q%nk4@ES88g^QXk&dTIcXX5@cSAe_MP>I6&3C61}wy9WAEOb zs_qt_J#^Tn`Q2Sg*0+}nI7BV|^e%NBw5WP|Ff=rjQI!}j>%kTK`qnBw85#Y?T=#nv z_tgR~n>V&Po$c=tAmMQ!A;n zxc9iW(6+MhXq%QI{(k%2YpW9su1k-6+was}C@OB#>^3qovV7&rFz(UTLq5_@>2Xr4v7`3 zR`LD%>mCh#r)0~Fc9Fsd0{i#w-P_wCbN;JlQ*$%pwnRrsb+Wl#N3B@aV6!hd=ckE@ zbQ~Fv@c6w=@}-v-OGn@mIb2?a$@_YGdWN{UE!0gtyI0Dwr$o{D`?7MBO&fU2fuM8in4=wStgxa9VMu10a^kyH`O+K4~?n7ds+TgTbi+1-p2 zCqb7PA5?t(=bx=#s}gf<3=Iv3hM4iay_NcW($ac6GQa(PZ85iA%UD`k+E8!2ORQDS zXhqxL)2F+t&WNlNvp!&z*>#Ov!*=Z?xs|s>JuLI!zBNbYOH_*e?wWm~ChZ~EMI2H7d+ zJ8C2EZB~pzJb3^9{ZMz{c+C6YLzQcc%fjS`M!Jj5rN+ww$C8xVBd{q(2D^JbTt;3w zSiZTlo-(SL>+z;H@@*OUNN3yzdIn%L={QC-viYl-j>=@-+sLCf!1d;E_b{b}U zetm1G+1IM)^(y^{r%#p5E92;qD&a||Ufxz-1XUu)<%5)ZoO{z z***GBz4s}m%!=5d{+#hx(Rzpd>%?s%R`k1!_q!yU(YH39>#WZbHhQ=E=Q(qj<&i2w zU+yV-`uawH{(Ne?Zn~;*aR5E@LN~+0MM2^AsZ*zH$3`yneyvhLR4r4}&<#awZ~u_6 z|9pmS!=-L_5`_`D$4g&ap0i@@+88X@<8>MKl{w?1R!-ku%-PDvSC(eel4RSajGHUI zjz>^XWx*=`a)j!QRM9%ydn7~z1^w!e(5mk;nmjgG?2?c8kENq7C-(=JQ_p+Ztg+|! ze_j7mkbM4|Hzj=WnHwUb1bfO=6iu7oJyft;w03vUb#7QPtg&Ur zrZCc40?7SoT23y}LwYD;*REYj_MLiJ-}Cu&QrXy^Uw!;|1G3V-X!Tg-6w5ld7Ve8* z1-9#?9^0~I%hv7N=~gbo$2V@=xQ6EdZd$U*`wcj7XI8)2;P<9v*?}=^hVoz!=_u@v ztpWl{JhE;P!s5*c62i2-zy0vVl$aj(Z+FtGC zqII#YG*mmwF}Wg6myfEQW*v$Qs?+%<8YzLwN)!#F9rg+d^-le|NTf$;Nhe>;rk19j zYfQ3kIvl>_C}L?bi5l2$ZTjOw-ix@UzY6u%U9I4*?x-?3muV}pbF1aYilgysdBfX2#076@_n=9h=_02oR z6#T{8uCCH6aTl%Ujb!jQ*f%(()bGY}Q&m;<#O|@9t7(`r$|D){XpPHxDK+idInG&K z169U>vG*5ZCkfM6iBe3l&}9b^#@-*|cA`+zJJOjw`F!!^hi6lj$Hzu{TV%$y5W2lp z?LNIUN)-Me%f?n6CG9lSiqxH`vP+Kk`|rP#53HU?!&Y(Xt1`~*TPJaTb=jZpTvFQO z-7@1UEw=F~wbr-F>~0}!A{>-{uuQ4xEj_YhjYr_c4zcjl$CB3w8nxa%#FZA4Q>fO^ zG}_;wasK=>N~A`-o?|avgQ;U|{O2D_v@_1f-o0}H!QP!yH44wwWmkUA!0R1JCtl19 z|LHbmaA=5;kjGUPqm}5EGmJZPwrY%f-6!lVS3g@`^Iw~Tv9!Vu9ZGT zmL)-Z6_^U+ElJLE7IO*ZBMRF+`}ATCclnc(uPAC8-;)RTv~Z6N*^h-=cI*(nCNhj~ zd32pCDy8F(B|IEX_WW#YCKtIbecP++)JwOsM5yyGdwm}fvqG!*R6_X$o5Kcc5vGu~ z?yBB@w?@YKQkLCjd7qHImuI(amKnT(rFBM9Urs*dJJq5=Euqk2FdcT)#}2Fy2ln++jg>9w#wZ?8@+d;Z%j_dEchKykzi zV>ch>?9rC5yM&j?BXUHftSgr4_aj-Aq{2v-*-6Vu=JdNfXK_?W$N`#=!?%yKTi&b_ zwbbEDLb>Je_{Or$>9x)^7AbElD>Z1IK0ang*D04JSL#K(y1H&!m(!fS7XbF0R*KVb z-{HfDOQYknqc$G#T3s9-60*9<*D^iwg~1|VN#4$eoN;TP1#EkKPa?Y@-=@Xbmwq(=mAY)x z(Vh9i!yD-;byPK;P>#czgTuoTu~n&74cU&&v5#|PBJ7VB-YumEXEBupt2ETro0DRj zZS6?VCmD!|hjE_c#YU>s#XeOmya)cXW3LHcVM`LbaN&aNpiH=Z0BuBE5bWxU2g z(zGmzCvAU*JLmcO{&;Z-~I$`R|r2=JOQW5&>X59g4; zkuRIm+n?1e=ip#4if8z&;~_VJ{wj2%aFoH)<;%-yg}}mGTYvpEs3No5F7m?qM@BLs z+6F^By^#U@9Wowenk~hF-mgBHeDAt-^QKSc4mP&>7=fGu^=P_j`4J_hyYm+;h;L05 zcJVduTgD;Ck(N*?qtmNv_ADpC>7I{ZN_lOLQQD&_T}D((RG@N$(An{~YNdJiOG=Jq zq1;Sf>WITvq5w!bQ?;wkdAQw2%qHxaWu4=}QGt)vJNM1q<7<=l>TGoQ1)OF?q`=!> zsR}BW%jxkZXZ+H2kZ|7)kF|`Em4r02!+hLFC5nyBwLn8~$;XzKmU64s`mBsH@%`>f zHWsf6vc^8Ov{Xho#trccj|b#(W}F_bsfLxSdf6 zPFH+J*)_`U2^}oVa4HUzaj6=v%(O{~i8-2RT->}52(>UsVDw6U{$Z3*N1_fNvu!JV z-Ih}K>8we8<^_4n{e?_!_ca&F*H+4y^=(IGRvF=BRuMheU%9s3CN!bew6)|B2LP9I ze@4R=QBe(j=fO}^EG{M}_;Lrwza|zZS=Nb5eSgDaX}LXfol5Qu6C1}~hM{L!Ss7=H z%hwMHUS}4uv3)xRETCXMP#&6;RQ@0*8?mQQ`f(Umvg{y0mid#hpe zz0LG&r;AswT#<`PZ|x}*Z4g==oRp-B;#l5F2-VCUJw3h4JQqCHNf?!<^;MfUH8utZ zNL}RMIg6x8KcT;$cJtOPHN1&=!Cq&)6$Q1x260i*6eVidtLuw7vEG-_b?g%a+Py=P zl7xbF5(7`K%yR54owZmpXqBGBUQ%|J4Y~V@TAep2C{ZVMUh|df*E#JUjsP7hqZBI` z3Uunznhb5%hUNuc`hG*e?k&KI^TD!LbVJ-W*}?8&8LKB_sCarSj$5_mj1T9ypJ(Tm zuKkd0$E=ubkcrxV{^G@zh)q%6`p#+dVrR2G9|ou}MP}w_eyvR_;~oEYUB**2`B|a7 zXx(Ya9K!;y*&fLbU8mT&BsEj&&imG1?38L8l;}u(#S0udOh-b zCGOp}NQTip9~T2B6ib$#=6x2|*g1_n@7=rS{$8jzq3X=g=UY1%Zgihrf`Z9Nwek;k z?nR>PtpJ+7=e14il%(a+?~7BF!TuzPk-UH^bEBG_gPy~utBy=ARCyBTzna8`Vc#rH zbRKoo&2&g8vLN+g(|rxMJR}~)MDB5r5(xt9-r@EzzwcA9wtgyLHHu3L;gWKcqlF!P zc&eNve*ccrQAK1Y#}_ONBvIozHrRfQ@2fYQ;zo)VxE zkj$eZBF?gK{hZyX)K~KBXqu05`4)yM7Yz%6aqGfddCtmxU6}X6x3dqPE)X(Z1uOLzOvR zuRh(OxO2YW>laiu=o{^73j& zkGh?c+O%QAJ``)gD*nJAsw;0Dq%G&>jt4+2Pj|LyE8Um{#5+{eFt&;MR6AC|#om0u z{Q0FH5)3v{Crf#S07M9 z(UE*8WJ=p~^ufpFji`jnQGJq1nWV_Y(gQ)V?i``tzMa+Dw$kwQ>D{ketCOPxE_S4? z9K48lID7s2^;@@WQ95<%abHJWbVf(|5e;3t`(zK=v?v%*js!|O^=~1rM2I6hvO?axkt19fDG3!_hE&|w2+Gcyy|4uM!}jCz z8BT*u-m=5UOO8^5U+yKJBFG<0IX8ld%EKIF28W=L+wYez+YR-YI(>h;IsffjfxZhp z?+*!^l}GT6NyPoROi}U?iAuQQ_b7^j$>jo-s5N9e(Gv^~fhBE4sagTvhoTniFJ#}L zlk#kh#Vl~l78QU;67(ERP1&M@(4+Zn&SyarkQ?KWbep>8O zf)c%_ug0pf+PTiIvhBWx-Z|}G)6(!D2;o*N+3iN6rr6p=8#iy}6BA2QuLF5eaUp?s z+qR=9Q3FmH7}(*m@dl@^*Q*q|ziDJ3$MlBFjJ|#FJ8HD@3e*{d2_t2-+OcCN-1H*1 zNJ{FMSHvhCJ9aGAf-L-c=V6Q2xw&9x4AO1eXoTEz8tKYQW-MB>>wwEpSztL3x_He~ ztZuvZYBd*BjTANaci2F7Q6OAY*;nt}!>1l&k{@`y06@*JT3=f`iY%+5^!^5yoB&70 z7A&^NqINvmbVgJ(DS4uiBS8z>We1S@M6g)0QK;Q7LkES6c8aCHGnfr#Pg_|!Zd#Vh zIElWi^e-jUch3>pOoCPtc`7w2RvL(~1lWK5dM4StQUUR^45di)n>TO7uN%%{W0O-` zb>f*tO&F*sbHu^?;$jW((n2OBzt$nP`s^~iiG6lFa~-%xRviv9nThSI24WNd^${TN z77FD6@^B?iMwdUXHu%uutkJ$2!rb%_UKoXkxYJM)0@Cv3%R@*E#}=*(q2BufRQ1_q z85>(b2Pv(_fRM~_dP6`Vw%@-{?b=EYl3S0!EKN>@|Ijb`AnL218r~uVc6)7_3LyJ< zxS(+nf(D3qO__lgi-o{O)?H}vf2z&YU-RdwgjUgf$qJ zJa97vT=29NSiy#gRR|WF$ulN&SD1poSyV_qic-R-W}%WLaPT&lRMg9t`^YmOp}{hH z(1^ri!g%Ng$OMULt)(}9XQ>zLeottXvIpzW$ba;1|0tIju&d^yI~pB1AsOMxjds-)4KX$P1t#F3{Z1 z5{dX{na`bZHXQY<9N~y4!Vi9VT6G2-aCVn}Z{W6-w;n%!46>|LWXUWx*JrnvOo}aB zCx9N=Z_kZtKD&E4C#N~(7|}bh`?unmfR!by)!N2p1u}+ZUHTSr@#<&;obrTl^W5+x zuEu@kzjR_ts3+s z>^n$>mMMZAd}m7ka-ijmwp&3R(r|PXfBP%j_70$%n>TK}zqx`>RY_?*H+P_H`zmhk z9i%p|q-{K6X0dqT!gBCY8>!%#56j7YW2{DMDOAbz-+gYM%WzFY5;6<|njCH4{{6y^ zJtp%0;%b%pE?EVmg-?GyY0hufdUp5e6w!tt{%Cq>Oc$GCp7G3x_QTSv)T0lAT7P)_ zC&jW4V+$Hy)Zgf4`0tL#FJ{@<1psYs2kubFl2KAp(tdX4VZkUQ4!hQp_0-Y_0tU-h zuhulqI{E5aq|5kN{=0YOeeE?QJjT1dUtZ`m`m?u3CnZUw-p0hDus0yXZ|qjh(tSvh zrMMfdExt)x5+D)2_0F;It|zKKZyd7 zHPRFaAmnC^{h?dIzF5z4W+r##XF)MVhLz z@?%Ar(Q?y_zg(FQZ6PfLG;J_wUSn@N2|LDVPYV%Wja+=CnzqxGV_@VvGP@Osz=Jrc zk<}ZQ*31#?7Z_;eiM9GDW2NwfuzEH$GqaZ0zP03qVVzHnc?W`kPn2$kdX5LjxC}RU zbXm@xBjkBB$Mx$(Z@zME(YmNd`>%^=?hqBNJk!+K zv8(;;Za3?~CDi)m!CPX~Z~gwej)&a7f(3J1TRS!dxql+hxVlp;C1!p39fVf~io<)V z!nOAA9th-$ByN*?^Y|L;_C0qqQ}90zC1!ANkbWH1?>pYg7;=^`E$v%J25EdZe+%pG zO4#~qP;gP;4mHEjy1K%>oX;;Vij5U(u$eJq9j8?38=-lRAb4TxnjouTXP01AoKDc} zL68K$@+QLA>*sk|9v6UNZ~kg|ySAmPuGYmqEiJmR zC;Ic`1*lN2uy8d5SR2PUEGWmJws3#hIn-vYJ9iGU;{l_}Sp&tXfER26pO8>eeY$X^ zMVwZ#?k(?)`TM;P_x3!->eR`_7&3gCR!}9WUz%yp7FO9Y# z(ky)#4AwTW76K0e;4(5H!xOy_!I**=;rNKm3}(g;~F`N)n3(9Q1B8II!8_6arXp4O~m z*C1R={=3mxH>78>J(t|1;1}`dp9cUj%^_Z40hRcP*?=93LSluMqYkB&7V`6gl@Z`T z^w!NXIr6U7I4oyjss=XD84=&7PoJVh4+b|<(=;RjMMO63@#B583nX&A@-j@;UcUOn z+oZCEYUayl+yt?9CsqS}z)tMI(DL^{Z%d^>|QY;}?D|NgNzE0_8ZLsYHX31~z@}ll@_VKk` zDXc3zS1OToi_2r=QH=Tm89ngV8wC3oQ--j&ySqSO13l7cH0a+(>!dGfiulSysOJEG zy@7{^)B_^RW|=IQyjFb@EEaQHQmzm{PKpb=io}|BM}Tm*yx>C~UZ(@dmV09N#qUX* zrsdrXU+k2lSH@`A8MR zP~EFnH&U*W_XN3bSpSpI-8G$K!Un#;wR|HIL-}UOCQa8y^Tkfu*xUH^ENXw8$K%2q zP2V@+i>l^by6?H+uHm{IJku;|g%7sdQr^@RvcB>8ym{+C?s_=b(eOyrw$ksSrR{|0 zi2UKE{rl#cY!Iv;t;xv9$-tLQymqc%xpw;I{G0oc$FUC|@P32}4-2Loq)G@j2$5RA zz^6m7w`*|fZv($@*TX|GYq+NUyhU{q6)%Eqsni?D7(%wK$B1zTm6z2McB2~;Un@C> zJVIAlVjKZ=1WQ3%&j>MKKu%_Yz^s($%nT;N9uh`!U&;i!hrz`!pm-V?hDAj1f|*LH z7kRJ|0U57v+bCD?3&$gz;9{wsJ3y)%sifpXAwk?jDCh{&s{*KnWA(HKdu(05e(%a# zuRk<=I?F2}QX%)!4J-pHHDYioEiEN1Gl7C|tJJ02so2`u#{T2WBxA^vE}2VQDt8z9 zNM3kK>|fAKs6(IwB9I66_=;GR!d_uORYn<#?+zC za&nZUQFAI4!F&N2MWI3#!_Gb7KfIVzv8=K-zo93hK^;yS}LaLKY@4=-cY*8(A73o_-;y7rd zbkHO&RGQJd2akZv3qPa;1wH5O|5{bnbPg08qqcbJ<{D!+lIKWhsdPJL64>O|d3nr& z9XaLT$JdWSjZe;DxY#R<@r;=bzIDK1kw2&=SHK68^LTo)CKM zaZzH4K;f?f_ssY2-$_~o@1wx&GLk@~A7UN@A(lvao0pgOhe3j-4p-i%v#SlGdxtZU z3h}jH&tESJjF-64=Ts9je{O3;cgqnqEmM1~Ir1%xUW<9|V)5T3S*H=Z^p}#mN-(rO zH)okPO`bzVA-)Un@k&U+1U3%!wVR*mL}dfsIpQwQAu~uoTeod1|NZ9$gm^%eTyHv* zj5`cYC%)bQO2nEbpI%&jB)_g%?d#Y1hc5;*KYveS_BN4Hj#PAr`_*x z3CPz%A472>?7mh^8N4YiBr{WzEDlLaH)KGPf2iDcufzn~O+KN+Odb)5nK$bMdu8LCq!)`E}D% zV=lrEL6*TLD#z}#L0vk)F$JTEiHYvtU1!X4d#ZJ6;_HeJupZP5+!NWfM+fquOS@Uy zS@UA+6Pg;rG{btF5Twem{5ke_SV&rV0bSwsTyXNv!WrQ99fmJ^Z@ZK;Ri`|!FXrZt z+#0!*i;JI1tcMVvn6;wtUji7=LcsS(SP1^@tWSLY^9G|L)|b)-qg&P#C@&cUljrGa8YP>#{=DqM=X6fcK>^DIxV zYZXv36QM4c>%x~M!~}%GwgM6fsXgsF>vf6C3mkp~Q2$%dRaoVY01))Jx_;eQ+zaBy zdHeQlb-G{q8QpcYEdn7vvwa>9F)SK9&pf(cR zi^G`5I)dwV1d~em^YZFvFm1swX9Dh*08^WFfyf?kUsl#EnqCoCSu27E?5!>D7silyV1yN3t^A!OlTy$>?vTy zsEMCHHnEoA#1DV-6934!nYVNxW=i^!lELhpy&&UsiUj_tt(ydy&)dmyeBPNQ^X`0d z@6x4rVjq*9md3q&xs*oE5-*ePsdxO3P@Loe@=Cfu@`}c`mMijk*0-j=gRK`P7uFj- z8iMDD#p==Nb7oP=5HcIPAfGN@x2`V23Ds#V3dG8^Ldz6F?!$|r?C6+|UzRUj`WOkx zEZ1!f42lkyyL@?YSr%)izFCf}N`EeH=}QAQ4XV$G6b8!ZBPS>nw=^}uT%%a?%t8hB z7B7C?>c@mdWKP{Zhlj)-j%h1qU;DEM>KQ5nDb3A*i`?u>eB*-vGjPvO=dYvWX2GN-=mEM`(!M z(I^+owU8g=l<&#TF*G*joEI)&kjuMs=aV8wI9^pC8*ik7!MEx|zzUi_`CME@nqi&H zLX4zP32z8m>{zsd-3D125?)w=bS|8=?%yMnf^{m^O=5(~)%VMF@QC)TsF+0SCi~B~ zSBJ73Hl%8Tbvvubk4wRBJXU+uljl_N+OIF;z!>_r}H=G#wNP1op91-z`*S@2+ z$}j_Z0HM*2C+7b3n_zF39b`Gj>f!QrU$U17C%~2T40|hs;q584kGH6VwE|UF>W_V2 zMO6N-&#y_Cjj4#*7+p|M;67v*tE8$@*e={}ew!efbw{i+Zh3gn+w_G3HfI_co#E*e zOA@iqYMH*g8DJ%d+n1k8dMcQ@5^^-l)K9ZvGd%t^xb9x@TE(iE_AJ=heL>i!=A*y% zu+&s@ND%u6ocUd$8-M(9R;w~E?-2M|qUPyVBx-IWZ2|bMUn9*9r!%e`E8J4cub0Uy zBa`FU=s5u?e0XG4KD00Lm(jOAC{SVxxCT^JKG+=^6_b>aA;uLtlq@JH7@)zTs|N$X z2YzV1E6c*mxarldL~u}6TWb9B%Dlpr_Hg;hiV>=@Ql~o{1rjQv-dx@-gVKYg5KoNU z->Z7_pHuo!x0SEmZ_bX>&E00r&t6C*_g%bAT{3}#Gi#Bg?Rr|3sHG5Lz|vHoNnjq& z2#1yhb6EpC< zeEG8bcVeQmCP-v8G2IbgS0M)>k|%0YHnxvV;OUJ$58Yl{bz&5*5RzR9IY=5QyzTls z8>~EGT|DCn^4KszlR^cZ!*3805+X+fbS}@Z?=*79B}7dHjBnO-sy}vmDB~ zgj?#lCKQ_}OM)n--OYutiD|@&6Y2ix=^K!4Hd2XHiK5ewLAW*==~Do=R@Gj#z$;lJEoJ7u(v}i01)L zcp?!X=bNDChyB@9am_lh-;Xb2=~6IqLM8PJkU=QM3ihPY9$&fgQx^O>96~0?Vn-ol zzy%%;pdQ}R{rx*>V*sMv0+th1d2Grwe8WLYlxw|yIZUN0ojDVOeE)^Xj5aL`YeUb_ zF;bPGsm8Qy6U(?zSV)Ifa{s}Dh$l~W8n}Qh{P01OXPzKrJfi)+c=3XGKTw*I4ugRK z2W(h*kgCbmCnie-atYhtZa1F`^8os9YUO5=3Qtk0*ORm@5z`itvIECQj7eQcvqhUz ztWH|#mfZh_jCeI!FSG6!?fBAth!Cn^QYfYbnTc7S_U|RP28}NYv?RDmpyRHtA(&&D zm2jFhYZjq1smgGTE?v6Rj4m))pWv9TUSGVflpsC3eMb&w#2P1Pl9qtOwETjCUI_VA z+TV4@ma!kvhkdmXxf{>B*Gf66qI05?R37YbJrI|82RPYS&4hgrYWVw;!S%xRC48~( z3~41GnHE&Gj8;gEEALfSVz|2dCGNtyfltCODSDxy$_`#VJg zIEBqT3r7D*Fcelp2>Ylt2F+iCbeteAe(4!WFvzq0`auAS-9^$wWeeiAvbxeJ(R6HN zFt_?L9aZ|@7E}MgB->J-o0qq}aWlsReCLRpEA)K(yhlpGvceDcME0RuX-$(}mLruW zQ0GShXe(|Sn-&n43b2kLnFm;y1eilrMri^yG8#<|tyt^T*-jbt7h2Ylx(Pw<@X@2? z;K$6rGAD8F$$y7)p^&FnOjUxJH(sB*Ti0=H&z?i}qM-`+@1I|>((BIhmn&?J?2AYs z#tx!ll%li>XPNI%<++K&zHGaOXWKUDW)pObtFatbI;%Z}vFSc!oVvDa9;D}waE-la zS7}2Jkan`!eLcsvjRwO%E?-FJZWhppe0HAv9i;#LyLTT=3ZAkJd1nxdur_>wGPGh> z#@0U32VvY{dHY`dBi$Z{FN>jU$j$w9^P$LkvNurbuJLFo^fmT`C)mvzO)tG4eyxuS44CGWK@-3Orskx1O(TM#9Z2#i?Tr<0vs*5`v*;yu1?rFYlb+nv|n zKNQGqf~qiozO@uboApCG%cBmP6&-Re?Bjgz;8)!IzCu4Q>ta9AIB3Ke<82py^dSMR zyQNstd~J#NP3YanU=~1@$6YgwkuaHzea{6SZe36GL=^L!%-N(Li%`6X_9|IEW$}cE z0#VwVyN!=eFkhJYa3jtHRsxsokhjB?Um6Y6uwsD-qrfsH{&|L2Udy_ph~~K_>KlSWuokJp-(iX2(;oPb+ZZjFxi+S*_c`v3RkuwmZ*XGV#Mfo z4~~pnBA3RQ;ka%CRRMI|tA+0zTAr<``H9UW1Fm>hSSJsjI6qsW2<1Z>l{}HLb63ei5$r>?wY{UXD`GMr-8B8 zYWZ_w=D(KiFxBdCbP^+O7-EXSs;@7Io%aX|>nN!H`^2nDjLW1Usq7<%#Q!8wSKos~ z?aO~n0>NiG{=|(GH8czLTYL zl~ZzO{eB_yifu5kw4&LHjwD$QxBB3~z-qhgD{mDTsP*5XyfqsgnpK>TozoNhMOej^JM^}>xQuJ}qRaI@>HH)f)-47P_7=_az1_4@SSMjcZ-?Hn-A`=KbJ0mMWZ6cc(P}IY-TDz_b#)_8^9sQuZeeC$IaDp2 zvZB12<0`$U+(+m+`IuE}U328zxr6|R&-1Xr4%3L-P6S)`!?V?V;XVtA5*uy&{27_i zUK6nzCe+Q5W;0r~5{(`bjeci}kLaaZ_-^@`(DEyIxzWBv7-4#_J3}Qa>@fu%NIEYo zpySbgJ8HRReNQf@6^cfE8ljzl*S2im9{XYxRf}8l)&GF;|01p@e||{v#LkpEcYa}s zBHnfoZ%jRlNihSjj&~Qjq_bhxV%FuPdr;m+223->1P6iXu<%s$7biXOqGmZO_|yrc zcF6n-i>YR2W)|xNvl}QhU8|#n$4pw7STw_m#q$9usHBo66ksu`TCj^Q=`_nnl}ZaC zMvY<^$?%Xe>;Dy5UCx;I2qdt0-8sjN|DiM>3?~mNR3D8K-hGIyVY;r_Q!FCaW24Wf zK@X8GIcDrdRJy^ngqLu+^?CzPE_fY6W7UtUC@aH->K0euaFms(*<6jydaoRVQN%MK zp#Dr(jC%Bj4IBJq7hN!0$hN1utFx6an*R7-S_9^-U)&YUJt_yfjaVp2OoVz4hhJ(@ zI@CBCg=`q+JR%ceh5q332)DZt6&e<{6(t2LL;fIk-8&xUHj6DNndJwFV{XZIy*4l~ zKss3nhpncg6GQ4Bg7v`Qd{ylv+&Vn2>#6Ag!{u=88q}cwo#^zFoH}V@i>c@g7uvRU ztFn%cAB8lhB^nh*(f>h4U!NeOM@Cv?D#HVvqi}d-G7F+3XWV&|{3h(VrxUA)v|~}1 zuBJ@?qcuFhG2e9jzhcvWP%~N8BgYG~WHYo|kb;_Yxx0)HHxPfi867hl0`;5+4T)Zu z{47>G`7q4bgx?`?!N*5CS^*^M7ZvD=;;xrpBerDSWb!chII(_sg>6|U;d4evEzxa1T4s)6vC;oBHuZ?Z~? zYj8iZ!Zcfag&fY3X7e)4AnhP4F_1H_X0zdk?Pc=iY6M|_>WBaPfhki*{;zHi>qFZO z05xvjzHO;m2R@Scq>}^CBuo@qsGiu)aX^~j*iF!?lV&S0nnzH!jK0|*6N&65QNjE)eDaN@8r&Z#jf8y9fo^0&Cs*$P|b2ahMsU$Ev-mo7!!zt zq~Iki32XRAMa=ub?iTZQ-@A8DdJgw8TfT#PnY5Q3!Ac3{*l?A>$2PUD*tc zj2NVe8&(QZ%V5+=8~V)3Nv|0d1k0{dP~@tb5+<2)Ur4rq7L~Ve*wsSLXY}mgC|;%~ zDEREXS#oN|Joa6U%xhsbmHpErg?88=KN%c2mg781EC86`QuDzX+M!9l=N2-*pw~NR z4%{>vQ@x$ z3dX>9^E2umL6ncsJiV%^MX}#&Knu!b~Bhv9v7ENsPO)m8{vBHeohkB_ak}m-k(|YFKmUSH&YUH2_YxstN;WXGFA_F9*9OGRe0KI& z`*D;dXq;q$rGI?l(xn*fw39igoH3?p^M0$=II;fP)(JD%z+yZgW$1fFeqzBWDI*N> zhANkfVNi<%(*s9i<+CWGKMo) z^PSijPv8wA(>Z7%=-z8PBr~LxHO-uFqoPjnMrHEq(=ju%s7;CiI-O(SB55ID_{hp~ zs3#$3&x&U5nQTrn^AAO7uL{?d=pM;aJxA^sf93zop`)EPO4TE`YD)2!`Dexd*wtt^ zw(3lVu;a{`QDMjC!odN@eAr-ox-L0-i6(K`Ae?MuWm(uF%;=GjyN`zff z*X66}SI@S%hg+l(Wa+m@!M9pdk^f zcRo1h&UM4ikzA2bp;UiuFlkD}WRl$Svvf4W3V}Y&8u)w*y-vCFRs2AomwRqeAw6rP6$hq-DVO8r%ffIuf{Jv)=q#PAVZ8Xj-oWiftgJ{` z+t5*oF)W01L~2lAu6QVh5@3QecjY59V2DMMI3b8}A6+CB$1DGn+MUO;aC}^Y3Z!SC z(SwN*A6BJf>d|VDhG8Kyv1XYIT%WlS(C~c4&}gSiJo@xRG>a#=MG(;E9Hk+HV=_SX zGYj8|))?ioJaXIMf?>&^&sTg%Hun~>s;@mE^}k`CV~YkmryU?%(X1r!F|sH?3PZ?J zW$AT4%Ga0Vk>$jlm&H??Bb;d*&zSchgaqN34+$RwZHvn#Z$K0G_uNuJ3GcY zEN8MUUbbpgIAna%S98{f z4C^MGZtcTcL|_h!tWLIZ;-;|_Vhy_z+t^VKk><>o-De5AumX#4c*3s~0y=?M0~shB zNE4u_V-CrewO~ZO?aVFX(*m_l30;Lf_}CrhPpZjCO&Ye_QvZnpV1Xi`m$0Nq7fTPn zd$2X`(UrsUL_@ARm5>?(rrPZ(eP~p-+UUmn<>xc@w-kG)#x(xO>tz&(n}}<~TOBcZ zcj0QwCssSqeSDo8Z6>@Kw^()7Eb#9=Xy`jkbHGfZ^($2oX z_$B+CVSnI1dc3|2N>IJ?m}Sxn_g{Lw z{$u{Ko!oE}-pP+IF`+CPEe77>Fx}NexWG!!QM?0!r?Q%IsH0F3*cY^W>9i!ESajdg zmg~XYnN&DUk52e6=VSWfb}Ed4c&Fdj^BHA*e|4R0D;HL5Ba=vo5EOyn|?^ z1B!~$gCRuWA>Oz5j}P)QtN(*X`7h$evg7EiS^GxeLxCAsl7622gqVTC!B$i}n~c;$$^XZSI5f7g~ ze=g2s=M*`LnD0%oXvnVfoY*0(bGVGIM+{CNwl6djhwG0rG>`~Y5t%t_t-z1TUMP=H z0!Ilol14OM^iY+(CZA-zOxV#RL3&9szJw0Owim91NH|~It9MKroa+AWlg20an47f3 z&B~kT@Vlfs?O95P-N24;+>^%#ck#kv-lH(eWeQN>q~T~X=1;ntb-NdSg?>}GbPn4` zC!lS+u>}(!F8=cD$}yGu-rk%|7#NTmbNuhdWsvg9=ycPSo>=p)#$Bmb?o2k~d7M3m znkKFJ56X`fjjXV~KKI~ohJw)yw(776=drhkhZ>IJp6AW?YY1` z5+(Ndk0nam_Z@HOR~Oi_xelqSSNl6#jdf2x63JV6hCi9bky3>5)ROwPpT{))e7jlt zk2eHICSf+8D8|f+S}qQbfBN$&NrIng1XEnoj9IfEOq$eLH~(Ae6-*UPMLRNOi?A@= zu^)GEf?Y=j#xcsq-;zW@fWVPmWP!Ph z;DX`rpy8V_itsT=dJK$Jg;rDoosQG3ftZ6#3Z@B}NZ=_F;?QQUP#lQa9LR;l+JS2& zoG3eoP(;NT%)i;6MLzsH((3OH)JIqolg(Y^$&uNNLO#{N76QOccC_5J7^cvGmuQ4AYI3!6GDqf-UQ^M za$&$xXn*tG6j8=pySMz#WYaNi`I04%KqsxPA<-Eo3{2VFiZL`m{O^Hg=xF9J@|b}s zcAAiFCflPlrrV<&$UryNORpKd+2GgiP|!Z~YRei`l6sPX-bv#yX{$$nQ9=Mp(*$%a zVyxa3pAD=Mq4g2Qvy@kJtzI3`RN&1A)_9_2z690*U#Z!Ww^)AY_xbF@_ibKQd|MP7 z^A`?Qa>~HUwjQr> z_bn}dPX-#;#30f;Jm0~j^-bp=eQK_iJ39~fO6olh<8N)ORc zc%nyO$}wyC>R)ksQ;ylG@zM?t|85Lf)5Pe#jA0;;F^!9OU`RzjJg*i!)zZn zk+!6zGGt_rV^8bJGtpe@VV`}3gc*r32_Mwe)x(e|+b}$rOoJgl6f%x#%lYYybRJE& ze{<35@&AKPFX-YFx13%fLHEg=Q}7G9ji3P6G@+>YudKCYnl5s*n>VxdheOG*>6%iE z#0WlI9`9>!*4}-X=mH;i`J=nYDy!Fvc>drp z2I&sxqWQHJT`yliZn`n$EW0ya)?Ul0@7zM1_Cw};z-+myPq zuhuz^i&5x+M-TcQ? z-KL|oP{=<%-eY7`cQaez$B{v0^cmOHE!+&JZrSEVxc?VkUMvF9=o2@TSiQDI_}3tV z;6ofN1f9B&jFo_;$y|QFHRiE~hJ^59o;rHp9MM}&hac{CvA!;#prD!Z4)~+>C4xvd#w_d3y*QPwCPO2 zY|DUe0fdm{tE_Ih&niB7$jOR`sKdzmy|FJsx5f$5_j$n;{S{fU{F2u%jd()N-8?qm=a8F_)(n-yq^XU%lQfJ%&wlj}w+ zpZ}>d|2x3GdX@RR)c_n0Ua*6ipgzd$91^b735GAP`{up9%A@A}J!C|IM!cG8pij;I z{ri1|r{hu3l0{sS5v&QiWLOM_I*T(&0|<#l6jM026zrp5pF2VW^O$`4ElqoPHs+{d z8Zfv=NvfP&gjyacLtR@w;5L)_zCA~X{DID&f-P0w1A%En(Co)R^MNwvgcl58;Hp4A zL?+n_*h;cue0&9lZXl6@b({h{d^4QOBkw+)1kMMH>Mv;w3k6nF$eO^jFu&M2I+08CM77?3B=8)%Q_Yudwf@p}4F>2;Ltk%LR{LKm#sS;{5w2=G@=i-^LTkn^*SEq43 z=x8*s8>&=W=digbzQyES%Zh;O-3+Iw@N@S<0GCbCD&t;l1?CX+@*P#-!x2#AFy}o)ta51LpKpEe=H}0MyedbI?_MM+P^V0ey{RD|aY!MK=@DN4A3|bs1 z7)U)%Fu$Q;B+d@|k?59W02c<&6&Wu4_b!5`FOu0OddOIAc2_>wDBz%pMIbv&1Auu% zW^t-B`|Y)c;T37R*4z=VH=sq^VxYr6p}Of*bp2(jiy>~MMhjPS>4RcE$;BSKh(DFTK}kRQ*9&9k-n~W_qYX}FQ;zO&u}p51-R6pGI#Y|iy;_zm>6r0ziHwa z$`tY!W@y`)PZYhoNYNYoW6}G(o7Kx<^7~{A#^jJYtcFlW418f8#n^7r5o^8QW~lPV zT6pqfsYgkz0(kDeL)bcNh#{I?4E+e8~W|9ea2*IsZgHMy)&xyJJe*6m`zBKm^^LG_j$rRF3xlG4~!|QJ&q_FveICV@WI^ z2x=U=fJjjU1vR20VnHcVRg_+(7Xf2Sr0J+29R)=}K&5w#0isB6(ovLNM5G7;|Jnnn z@w_MR`b`?FVHSFhs2lllJ^;T*rM?6<48 zMS~cBCHo#+nOw6px#nf3_Ki;!8zA%}V+~{o+x_NV8MCR`E`N9GL{W*<_z^Pa4+F}v zpZhp=7p)2#u1H-g)nB^wFxfwjzX}+i%C(>$pNo5rV_x{v+zXVrjlI5_1T=ve;1B;n zn>#^u!B73Ca^C;n{>qrn7*WT=L%d5Nn(a$8PFqqF8oTk;D?V3qUz4NwJjU*2{6EwB z=w^TV(VU5X8GHGqc#5xV9b2pTA?fG|mD~UH=F%{y+CToeGnW>~qHp4>fMed$=sHCTAVzY+Wx8xtzkhF|moz1~mQ zsOl3DO=SwbY2>2sZmx|vnX>@eC|MTz4w#Mdy_PCaNZ7>&L2v*|SY3G1kyi;0x|flS z=sFcRP2yht-#i|pUsv{Pe%^7$0vz=n&+W{;k}G#^Z~h+8{pZBGYFyj{vy5wo@6pobZ z6(*gmFxI;TvTe2NrSX9$badMOmO4-9kEz53dB*qF4t$}?6@!8qZ@yR}mFxC*rjPCV zM0km*czff0{nF2>&c*F|@X4#>zk2@}wKSsqDcL?c<*fjKxs<^hk?y(ke&O)By79ec z0^X|nY?r1E<6NZlC;I)zxV`HgI^9QK#}m^;y~d>GMlH1iec2^?IlL^wQ_Zkf57w zly_p+&)!4Pa#cPT;zZp7qZIHi-hD%LFLj4A?FBD_3ZFc(F?G=X#az*HS(&;_zvq=s zdOryFYwGt6=Vt#LUV8jlx!i^!gKYaqz2`##!u@U9wf(-{LpkytZGuX#P7MmW&Pn>_ zQ&tGfUBf&*2kO(;4aF(`#c)&d71c1mWhA%b@7E1`1IrIw0Xgl%URf#S&p%dN8T&>t zxyd(%kEdt8sy+8@`iJ$)qWd+upFFQC*B+_%{a|_3ro-n_d4!%#4f`gjjHdYXtG}K^ z=)|cVynQ~_Hr^keU~8xFeBP`Dk^?7GzJa=M!!yhxusFgt{DWO~tTOp3solf_;*gw4 zKkqXQ3k!b0I>BmVEe7WA2dzZQ`4OCCZ+-n^;YxyJehADjx8vr`oBU-f@NP;J9XR&y z7@Y!Y-8L-!AJDR0rE~IR;(gz7ic-OGBYdFg`7a_6A1y`f_J=o)eciE5&a6U&JitlI zFQXWH9#(gkal`+y@eoleiLkEn^|g?!;GeK&XMdc9&|<2P!v@~=RyGbPp%v_a@d}x*xER!x!IfYleQIi zUQp)~i4*@-@Q98C-Oc|-Q>x_PN;oG*O@&iViu{{IU+4&ui?9gXm8ouiqWO)8hv&%N zYJ!t7%_q2Z1%#{&#_LP&(_*fXB}-RI56z6iHompiJ=U4M{2jVN&E-m z*HhNQW;B%JCYj8VrSGXzrx;8uEs_(%^fwF^iM6@>-xid;wV!M);WUy$NhwgTR`}tS z0=lWGVc1*&Oy5dFkf2;aw`d8zIz)!-*)mk)Em%GO5N%9?XB7WoX>Pm3@CJ&@*38H%ZpLDyBM21UH;pQ`;94&b`bxUs;o$!(>)#Bd zo>_?7n6rE8q+C5D1|%a32{X7r{vpsC!9#gDdfDo z?3e6@!xy{|;TvvRsR7CTSfX(ks6Zt=(NETRt3x6IL$^b~;|{^BtQYHSwTK98#NqT7 zMbqI}A*30Dph9UtX_8!dQQ&t>n&a>u=I2ZnjXNOKL2i*%Q0zyTdeItHfIo+%^>XXh z9@R5z3%Tp6Ow-vL#C+2tAK2r=C56;+ki!~4{2tp%3T~2qG1wM{_}IEixy+NKOJQ3X zD>QY1;9ybd*!X-Q5&TFxg1xZ(QuJ#zgvBE1ui5?EENgYy2XV?LVr~%WK;g+>|B7?)$H~n7fc$X7 z7)-#Z_bt!tXTcJ_G~LN5c#Bo?@FVw0BB6*IyX!pWwAQ9dJY8aQ4XSSH8sWyT@BGGi z)}Lx8)IiN_L(%1}XYwE@Ej-^XqAETyN-q4pu(F-|W0_Jo)k_~$CMYix|?#g}lqus#?K*Eag z8~gl0H)=fzb5enbZtu${7B!%pHdNU$X(PCKXIEgz6*w&z^>j3Yqv7YF>#yR!ktdbz7JZ-}b$*c0B}?Xlutjwu9}fOd>el{1priqebZ(P05|Q4VKbZ7&yCIJXMX& z%w6i`FcZRH@69b=DsW?Le0SsPwJwcem4L_w=H4tR3DhaU0=GV5vZz>X$jr>Bg;Cnc z&SfRowy@((Xx-N|j^7_5f4k2uc2e6zXFMGNxV+)2^lpcK*R|!?=$!p^M0bS5h*>%L0GnlxC;hXsMDww@6zDlvdnOSvK3mzO8;Y<)P@UqkMRvjj0VgvJ{3Sj#j9p=GOrR55G_N~R zc%*OCwIXscsJU2*L|#Hxk(|tYy8%k;>xV^a91%-tQ__41y3_Cjf%r9E%3;8i%tqjj zV9+ggWzM_xr6%*3GqqzLwi)FEU;;d^ zBN>3%T|BC1?+n5KrZ+lp_<2hr@cm}!8ni9ua2%@dpPJk873(x1apzl^((?UuYQc#H zMa(AkLsvr3xF&<>L3}j%G2`@#-&sXZ4~_|6@{YK9(uIz6w{CWGn|NX#bLgHzq-T)Z zWQ+aOhB!cGV6+Z!Hb9=&c}sXwRHn(4$X^T`OeX8{{=H-C2z_EjZp8LOum6P)cJfUH z*htm!#GLzz=?X8QxAJ%+pyxkHAULw+num_rr{i2YS2p z-#?wDugCZ3R;fj|bfT;kSVL9e;1|zgW**7+JQ;Ul%8j_|(ygz4 zUBV}Sbo!JNjs4T4YK0~(`+3tezW%C+s*Y2&VIAf}jV zbB}EPFujo6*GF)!l3E`FRQ86y`IFzlI182ny1si?Ts+-o98+GBESkU4v8G9Pk7kf) zOkdYI2HX7#uB0@BOC%|=3KZ^k?J1>^iL-2ePFribR3NL)h$8}=j%KCw!RrVkYwu}` zJvGnYlHC>NOT(rBRK5p3j|5JGw(Vhc^$2tjNLoV!Ry*3~O^P|_P!}Ycf;deRIb3hQ z%CijSE>NRsgADM?z${m$87ef576d?|!_f?7XnRAE<=fiZ%d)7^gDs$#^Lu)L@tw}1 z)o9k4y@>Cey$@V&RmrsX4K+z}ZnI-z%0~Pzhd4WP0IHyYO|yn*G*8yv-*D1bsQ>k? zbcs2a!FflBA{5Q#VXQ_+mioc)JNENi=+lN|vYZ^Y!2D_k4XKo}85*q2 z(ib>^`L&_7TYWeRDhJZG8DPds3Dgw~Cc-YwTD&U!>&kFd!xWnDbnK6FQ-^RV+&TT& zABWM#){pgDH9gTg$)KZLk&6d&5R7AzaqzzCZrge>Fi`XAtI7Nku}&-Vc0t)&lQmy8+7o4J69(2)>Wz}*2ud)oj z?Z$V=rfLW>4)8gRV@x_K!&r;@%;(iz=}I51O=wHTaU*wW>~3$;Y_~oW=iK$Z+H|F% z; zv_I2&ioh=hqcu|tHWP6bo_I9VniT>UNy;r+5uHt{3JR7# zKAK!m)_wYH*|3|6NgIYHZjnQ>mXBfW}4MFXljKBtdn4X>)n zGao6Jsac*JjT?f@m%J*k`TKV~Fsb2@$g@;h%b~U^&4k0oCuyT}CkWri>L~r`DEm07 z`Tcg|6%59o1KS`rQ4Qw7HEVMh^BI(%HVy;*S2pZOyb~(2nSJ*nBg>FT!`Q1L-!W_F z)=hE-qx%4I9Dp9^i_#vFQ{jge3DCnYRPTU(&UskLr$(3=xLGSLFf z;?fzH=h5iCl{yz1skAB_!GPHcU8(R=eQO7B`6GNdo#U{g)PA6P5n8Y(qa+Lu9_6*J zJ|>yhzC>D6)RQ%u&m@2 z9GjxWcv@AZ3h}ad)WDcuauB11+!>%;ZtFdQra2e{jC4VL z%v2zRg@?EG!lKfbCbKg|IVD!^y-{$#{F{Us6jxR3@m){CzOIGD1VVicj}{Ovy$(lv{ekJ=icub*XF~=JSG8~!W zwSaH9`Z=YUB9RDWZ0RG4d9E5IIlj39O8aP-nnWEF01*LeX!AG2M|*@!8PumvHfZv_PfD*1?% zSmV%>3xk`(@Rp^bon|=5=gOPWxG;Y|QI7pt{WCfCivgdZ@mVxBy%&$Q1xHvJI&YS! zO`jcqs0(#785}cKFIgguhj}=>amTj5rV`b;aZ8%Uc}umBER2O;Jz z#xi{m45Eb$Yal%=fsG)oHloJS2rlRsZi~P03gR+Z%yY>JAdpYxoFC#ULwc;_*YiipeC?H{@X^JTi->f1#swh(qRbsM*1vY<;Jam1REkTW z#Zl=4<3wr1Cd=?eD4VH^4mD45HfC92&c|Ic(!&}CeqhpacoGI7nr3k|V~_ii4Hwv$ zWu4t1Pqd;C9Yo;0hak0&*jqbufuLtBTs3_Xhv|nm?oGb>I9W_p)!$k2WCdc_SBP>jfyLPHymiU!Fcv8p(CI4G&%c`g8_!@#*(h@S)~~@9-2& zr+&X3t)^S#R}BSOG4dn^SqIB>|H*p_)2_;q4l$T02d^S~JUa|Eb_nDmyIC}d_$3o> z5a0M*h~^H_*k@Ii2nJz6;}TSuMtpb#Q%g|A!c$T{-g-R^Yir%Qh0{2s*A8OzC*tXC z5huKYXcDVWVwtnJMsr-E?Sp&PHMO(Agt!r)rwrNXwN39Pf+H1Ny zkuemU`)=-gd|nuG(x%gnu!rKaYhH>;FfTg03D~9>L}wLBg;b2cO+qQDDtQsRf~x}o z4pomp<|Fh0*|+gn-lECma@>&=eHMGoeX&#|itBA48Nsk5$F>O#gZeyL(*>7)nmhNT z*hZ7{Wr&yQ6#P)qr=+I#x@dmfPPT&}Rg*Ir8RL>#05mQdjtN?2>!Tb2gTh6qR$Q&% zm%-aN^Skf#-lEx3(6`C_hZtN6lNBEyPv|mI(`Fj;2`CD_RX;PKxhld&Blkkc4x0ba zT#vQR6SU-8JQMxS^K+PkHC>LO7%4^b9Z{{Qr1o~1B)(ZduI6Ns3sO00;(!?>?KHoe zs{3<`pLHS0Jatvqd1_0o#C>(b9Y6^W*H#Ay0$*W5S!{D((b6(@>*z;wnoj8>VI2u0 zni1_L?C^R4AF1tFMG=kQ@D*d@FJl5{Rt)xCx(mWE(8*XKWL`6hA@3?89#|d09lC+H z0{Nos`OpwM6#FMvGy0a78F02D`X^261Q^10#{?IM5@qt01h|u<9Sy8;@G1$FpGATA zmhpj}L;bIqtZ^*H1Qx^>Ph&2;cJMGFWxOt*hK7br)rk$_?FP{mu6^gL=i^r@BR#n$ z6FHi7SVJR{I6sg`sysM)2H+$4X~D%~2Th-cS;^~;4t^#X;Xt;f^6oZbdcq=47y)HW zL901m*JH6%+EbuFZ(?=%EWOT1z)=8pICZ*pNt_24_2Pc$?v-^t)0(Hkp5jYYUjFYO z)(ARw&mh1C^>-=GArZqD542Cf>AjvW;WS!@oE8|bsqL?1oge6Vz`8D|GTG>J1$fIA z&pPhr@+@i6zuE)Yo|Vr7SB=72NDiX|;Kh-lzMf_za*~Z9Q&iXpeYL9BJ*^rXdf$

o**O7`W8owLZSQn$Q@k+>9Aq9r(t$#a|<{QN$<;B>xs#Z|^?Vd3IqbvTQd z@^JKnwo_GPHizj-S4-zcgWrV?)bJ=fZNFi%7L)uMYy$~-C;2V z1qG9b5#?r@dvzZ$Ftw1IVakc9r#27y`&lZC$pr;`%DjEkOl`>`5oJ3=41H_K>dhg%bB&cwV0y1$EAsbBQFl2nY;>k z#0<&im<(coT!e$Mpsd|WTM${3R;_xU|%-*3^{OihNvzKykX40{P__j%6W`>cCtu0kg3OI~$q!ZMLztW262zt8Q zs~P_!Tpo|c>8W<~(-Rw7fM6d42%;kCg~E0Xs1O+ANf|i;E0qwWmtMJY7y2Uy5PKPV z5J5viWzf9{iBEvjh%F+{?lA8y;=r@XQy0x;nrX`@eID{ruW(Vu2fcej1xWXMQPQx7 z5~0ev0}8h)*`#2;?`n8|Qilm=E-M5%%N974=Gi22)GJoD+Wcmq@|Hmdl<7fes}DeH z1~|pyaAPTN>6cc z(4Z|A!+Y-v8d%$kZsAp7{c5sO_48X44@B!vuD=Y$3_#iS0p^NRJq-4@PAW0F2U8u9 zMN{AFJpkDIq8i_G*vzx$o;^vIi!xKS7w`~!k9|sma@lQIoQQWJqN7PT%e~ZS>_RJC zZ*D^Xp&~jPZAJ22hTRD0|4LZ&$P_8rHm#Q?i#52xDwyM1!_}P`*N^Iyz`-e=1Go=yd6xQ$NB^8L#+v`Imxy zPZgIaDzVTvOG>Nt$lCG7jT;M)zEu4XcId{2E|PK?dWu$lh$ z+j-}l#a>~5kY_BF{3u()umh4XMw60}7P_P+bu%EeH2oE=it9*2a4IM$DUm8U=`~B% z0*8kj`vxFd%^-wvstK8)lCb4?tB(Lk*5k4L~DlVGU-p`p40cmQPB zyXb1P0Y)!JLtfzO)7NiPSpERgS1|eHqQ-WNm;W`00gX(yiGz2hZI}-FmsA)0UDhOld zb>BA^B8Slz$wE=s3lUu_&ETej(>qri);OxbQ3_$eLVfBQ44a33F_y=-#Bp&sd*-z; zV>M=H*DCK~sRz2Grl{0(m*dhSP)YA*5$S*wZt}S!Yp5&zWD{unNiQ$(Q2fGK+lmnc z3J4e6Zkh(L0H^7QIBa6!sR$bpJ@lW*oeo$tHOImMUqX{kL!Wwk;GFFj)dExLs9J{} zIeZ^k_y@l0>no#8g0N};3<}5gRY>=uuvN|71yS*AbiF9B*F36Ftyz>mV?JucO6RDw z!973*N>KE;Wh1M2|Hey`TvL(Qu`ixnc^~(9@vGjU5yN=ZKBSRlP}k6CU6AdGbkItQ z*LuJ3@NnwKQ$(=x2*hp1nmYiDUhQbl$POZHa!XAzLq{Rvt90tS#cKKHV1EYxP zgOzk3)epAX^t(iQfSEc?G=AOH)wNy+biF@tyLyq_mkrHAWAiW?7=*C`s%WDUlt3x) z=j?<=5c9~72ciHg4=|-x!_x_K3uLbRSxkervkb_V2AQN_bVar9C@$yTqet>AGU5&g zYo}@04;8B$rWakYYk=XE18g07n;c!7M+L%=xL{wYd+kvpPunX}~HC z){IJd_sq6wDu=VgQAvwqDudiJ>pKU&n^x(pIXYNQ_VX~aBu^o%GFm*e(#SZH24kSO zi=}m?j*013O(SmvorFfFA#a7hwhHAF;K1}kL`b8H2BG;;K<@+qHXXC@NE9n$b>Ltn zPjAeC7{)#DV&MJt5U^M!%|3PDT4hznQ2h^A1ZA2(gK$E_xQKGkbGiea z%+YHsmV8$?kQ+J=S%;zAL?yQ${S#r0COU9H?Le=^0Py%A+=whemq7g8k1j(2Vwxom znlhIm0?Oz+9hB^WnhiYzI=o3mLLGDp3J9)ip=<#gYOtzqq^vpfMr*4+Io;C@C8a7P ztW*SUwranDz_J9#EaCE`PDgH4>o{aYR@FprLDG(Vc{R~c$m0PO3QeddJ))IxB2ox4 zhY02(D_2U+;0cOmXE`EWD25d%!$gVNIyA7V(;0c(JksZwbw2@T3;ugbn8Sq~$e#TI z%n<)tgzh`y;P4)dLcE6R%xnZv6)lQ&!IukQ(pzIyW%T{@=>_ytkEboB$q9m?B2b0zVU57LQ`Dm4(sb&wT(i}lp7c^DEm#{+i!$ulYp^j# zmol<&1PY4{m7p#(*-F(R7*%l?AhK zDevK*zHrnXa|fwug=?qDKs2}(T??v9TU%Ru@_q#OFx%$t2Z8t8a^_KblOkPzol`Is zpo}hr0i*&$P3xMyn5K2U`)e7-JeGs@(F>y0DtH_Wyvo5W1E>mDFey5MrelevRqhgq z&_RxZ)McR`2SZMlCUu1P2xij^CajSxFP#o8cR-%ANdid}EeKDlctPv(BJ-d&K+b~* ze(&jA@-c|iTc5`sKtp6eAP)>FDJgQEF}{}w{nWxtI-1ypeqW_Q$161Xi9I3YDNmlk zIRA7wLlFf%B;WleRKSJ1M;^y`hh*hg>(>F|<}$b`1>`5+-xjLh

RH5UKo=y~Tm_ z7h-b#y|Az~r}51Q1DVgq7YTYoX{UP-#2~A|J(vauKYYtr;OEJfFXB-*VEZA@?EHvq zwk&z_fYj&*54z#l#n1=Qpuxj3Qw;W~Q( zc6}nsKd|)6&ZQ#wx;i;wP4Kh&A>?nHe>TKN?pT|EeIL%y&91^YMEEsQl)-W&WDTB> zhAE!7?Ycm{So)VV5T5s>(q}Ej$l<36Lk)1ZhP%wj$#R|2FoiYz{MXqt?lG?ScpO}lscTAnl zcONZ|G9FEf&gvt`FgJ|&2Lx!CT*#LdObx*@V~Xy)4U8qB_I~Ty$b{`{l_F!3=W>H! z{1{tZrHu|Nq})asIA*GwIg`P~GP|kCI=JYHzNdmO+yRJn1)zMhgL@Ls6qR+JGh~%T zcdpxI|09|1cT_%>({lWfqbX)*h~C~Kl?YY{vR?7(k{7Twra7$LUC3zjI|ty(;noM# za#5s&1VF~%x9{m(L(FpP;|2B(M?xM+tIYXITpc)PlAX#G`g`srdtGBB%dMorow|Hf zcp-72C{Qu{9B>(TtE1GgMefHW@?8K--9q&u5=vvq5yW7wj%kY>9u&%X+V{4e+-P1_ zjIm&3Jj>GW^o#Jn*>lJ;TQv8GKx7&Cx!n9K&{8D;5$mlx%Dy{OKbAZ27~1h7us4ti z4Ax9{E$3+yUxethZ1u6*@>RZW_VvF_N)f?Y8Ct<=od}1)HpJB3Z3|CPH-x^X@sCtf^HV76G6uSoW+f&?txTR z=8%>KYFWHu&BAsx2xW$F zR*4xO$5o}*yog$grjx#vJHWCvSvzuzeadw?th4#HJ6}XEL82+9j*31&4LDEbQQsg) zaI1+?G6jkn=tUqq1Q2G9?YiB1KeY>KS_G?Jqr@mee$Q7)&XiEsFi8A*wKn2@F1|K?n_e z?zkog03XpsQwRr^A}Sr@lx`X74Z^ifGnnKydP-_$=gGlP>-RFEg9bVdLUWo@0$yf~ zO@kX|+4PM^acYh{Fdk(Wy1j!3v2BaIY*C(-a6bem#peV(Ap zaACB6bR^KRFFFu~SOwSF!%9j9F!m zJ7Zy=9g5U?M5TwK6;MQH#?a^_0FkL7KDX-#f5Y+H0t!z2+No$HQ}Rsh3p!+opuxGN z>5gfPO#6OO%jnlh)=_1~hHCx82Ks(UQ(^**FIW4e2>e2cHZhKgg@HW;hN-iiIQc_5 zA-G{qR)Tpare8?QA`?%gIejz_4vAy}yZPNxgmRwxxZD^EM2<9~UCGfA{J$d|vk6vL zG#H$JPy_qCRu0M+-;G3!#%TrdzJM!e37W+3QyMR z1Dq&mHV0klX-7hAsV*b z@ii_&=}X3T!^l)cJGF-cQ zSYBHFegim|p>GyIn;T=GvrfF|+E&O+zR%j>Zu?4{_20Y^8`b1icV1KAA z(JJTd61jsam3q;P7UUdp$=#XWIhjm(KulyP%M=|_*<2a*2>!|N!>rBRGZRhe3zR&( z7Ufp5m6Mi5dnIPl!i5Xbf7+H>u^3^CJt7EZJ?Y{@#s|h|36Wb@k5! zafBEk-LcvkbYUtNHG-1i+IKQdS}?hNL-2z`=*c40pQ>}193>C}*L%9Spyor0(>@5D zz8q2lRtO`)_b4i#J4nG)o9FwdgCUr$D+L7rl{js^4=W6*5!P)N znb^pUE~&GkLjMqDz;2yN1NaFZ-<8xQ(eehs$Cc?$Dkwyk`|%f2GLIKhXCApp-0nQf zY>8N5BQo5z@2eZ!%mgmGrb8em9y3oYiBxGLk~e8)avc;%2&Je8))OZSEj zKUq9-)UOFVAV_s0jzr6_h-5&AIVOyy64@9mPb#{AHC|_+J-e^8v=mlvGaVlf4h*1y zz8_dTp@sL4L|cG;P6#sQLF%`q|2Rt$_Xv<*5nR)0O57L_u7bW86~OqPh?9#Ko{uE- z5lu-Y!2YWe^%85-)q@OxFd#lYs&9414 zDT8($L2&@7*`tRb-w1_C%4$%M>YPSXL2hu3{Q#gX3hgBcQ5{&@@PI`_Y0WTdI7JX- zFo%FJdxD$5w~!w{0)TN61BwqMkB!EU6A;5kKhj#0mq(yBYLI zoB{QwVit#xI+M{bE94@d-EM$dr64`fv?B0yM}BRHzX0M%Gff8vCZnLCfx)pTUDS^2 zUBiB(QBgEv1TGx!!5%pR%#M<(*LYl1zyW*OjMgf-`nwvaFSQ0B_)WvjMuVpYB9RVq zGd5|W$1=MdLsquHf{Kl!;~XA_mGRy3mEd-eOEgSYYOp^?640d|U1$*Dhz9QZUaOo|XU@X`K4 zPnz1^Yyuv6dD2j48npFTnF?LCp&*G5vue15oEh+M zWK#V=1kEO=mQ;J+HH*GeW|nf^8+M{kP>A$U349OHO?(|Nbf)V^>ygRISx|>0c@|Rr za#p#nTCdLn(=>J|3E1hb6ObEr=LP;%xL13zN0G0n--Z?}x-eN<0tzcIGT>ODkE{l} zh&-04v4CD0`fB@uHb=AhSfFju!~`PhF^d2zBQBV53IgjzECaEk5KUF|;co-EZUbHq z5H4X=*G?^D+`V|<>Ikq@>feS-6kPx#!p;(U{e2u3OBH z(8?w6th6qqsPVW#n*y7T81+$ z3`mkhyQ=lVL~xH{tn~5c&Z@V-FTl%G90w%TeT=J5$#09sH9dBuRR^eSe?uKkk2GbR z0T_#u*)22X+p=jJ`dke3f%VWso!M!G4(lxnKEQ#&i2XBnKI*oEJ@od~Q-sgarv%L> zpnieN?VZPAfPDZt68}#*rNdYoWmr=POObT4f+5BRR3SD6$_EOOGI6aAu4=_pzL9}! zsmpVD6jxMR&nj(h1FLp3|}>ICUA5PNSqM!J+Z;t&wr|)YxfK_e~FRP zQ+$36?C8mUF(p>z)W<)%ZZ*A%?%nGU8IW^Gs;XyU`uZJzhR}=4+ci@gq4_29Mn|`oi@usn0w9ve`uJtMM0~J8}2MUd|W) z*M23^KN|KFN=I>@#C-kyWrFW3`rk#UosX)-ub|eMzh$5 zIcTbjLeza^o!e+fCuY?V%~Rd>&GlY)aD9RD%0h%NGr(YjHwNy7BG1^!U3c}kpNA)R zI@%@s($f3~X7x#b^dDPVSI3vubdC|HiykT#4}$)z(8CteABddH(SHSA?NEXsC=-(& zEsPStXg>ptr|cC)C6O7?g$$zh0rYkVgF<=n6^59S9>020i9ptcnLM!VU%{j@3aKegC0>Kfg7k4<%Hu#_Fp*^_A)cg4O0J%Y zKr_C?>*diG4JYuQMTr#kaUMHD04dL=a1zRZ+|^AB8b1~Tj_9iu_8LQzMjC|=TgPh3mMl%DX zbPJZi{(cuL2L8XvS^?liaFl$yzU_okBU2+QIqwWB;#{gBuZ>}h&JHGrrDTg z!lEaDHbjHj{!7@f`t0PJy*mfMHh3@YvN$$v;MI)a8hBYSH+aIfk64vW7tfzx*a1X4 z990q@Cw=nx!2rS{(fSA_VS+_I8xK_TE2!MsQSTpc60;`A<6!ISZmcAcq#9)o`nTzZJT%;sIWAPa<70}yj% zgzlo9Lnh&XFBPLqYErE**Q8^;vF!(s=%WBo8n3XQ$wa6YAmGUdZbBqIWm2|*?rg_Y zmu;*PvNcgp&Oe~l$~Sw~tiHdWS)>?}w%1Kd|!QV=^5*aqvGw|C0}6KZ0u#-t3igZLKy zZOI=8+(rCXxScVJKr?xdbUhr3uO`Wj_<7WAtPr9GfN1d8(c9abT@liVOD!!94rlI( zr=YeQOkc#@C`2ois?twLaRTl=ngTkDG%VSW(X>3Apc)hlh#Cot2q*a1moiaE9K; zB&*A%`d6_+LmLZU^e8E*g2k}!;Pi~0=7^VCRt4wjumh744y3V|qK0(^L(;#{Qb!m( z3|=25L{{x39`5F`HRP8SdNuyJ_EpccSXG=3e*W(M1@)0WbL}IZYtO}I<&;A#hfG>! zT|kAQB8E8BJii&YXfkN9XiU=$43%&wxpj8R^1OX`&M@HdG+*%93oK*jj{hy8hMI&9 zxY8W;oha)>t=g5Tw4k=Er+|8;uI9fx-SeB)U>)G)Jj9O1re{d1f%jqiq;kBkUs z`CfFoNJ%qq&K%Rcw7(r_W;o0F)e;V{KxexN&rUCzbck2=YzoEB+ArYMO5^mAtjYQbqF-~-C(|4VW9I}x*YqEUj4t&gRPe&f*Bf~EC#k55d+L# zI3Zb#u43Ar@>m@_}*di@1AteWm44;vUz=&Gw!yS4=faOBEe2yo?+8 zfH#rmH@3&JFok_y3rhA>U;)(qK6mb1kNZLE^Z-ECs2w#%8ut1CK}l3Y0Kuz1;Kov{ zzWNN1TVf2#1(*~ap(9a^%Euw;Y6Ucbono9hbB2H}axiU}Ai(EaV-8)gdVFB`pX~P< zf5^_0QACSYVnuD%8AV>9j|T)$3$|)NOBIpCyETC8j7?$qe&UQe7Nfo#NgrOO`$-xD z)eq#lQ0*|7I6!6%-3bkqWg(o;I7STD>dE@UFoUwB~DO2S^$s{#OtV)Nw*R^Y_K<*~}LIfBT z35Mf$%kc$C1L}X~f^{$93!a{LAgqPO$Zo*thrk0RHwuUV$s(MEVN4N#J-*tlE+@V^ zD7J1LJ1D*mOS^%0T=Vn0527itRDq?yhyh~Na_}zZ^YDZtwT%C5JP^!aFQ6H?KVg1; zek*!KeRGj&AKbflZ**Y3!tt@k(|^ngfbYahSAF6n#{c<$M`kzn)*1i3n2!Sf+e3(t z+_-ChS0q)F>vZRKFCt(KVtivOJ|rUZ z&G*~M$^h?SmFEa6c`6BzvD7qxxQF>yCE)ds7gos*W6uu1=3Mq#e#%WkD3CEXwd;(F z=#Kpx5nb~5(`Ua!;|BZb{}<7ou3p7AXWlt-utur2YRQs%ztfoO%U}W&1u0Y`wc)Gs zMc|83GO>xjY$H1^!pxp)N5jdX{(%WPgb1lCnS_>MM{&1r{IX*48lS+24>lFrl)8i< zcG9G?=>7n}%Q`k%lWfh?L6yqsi$5&AHDpAyi+>+X{DwNv-(_91P0ReZ2Jm3{j0SIPbpl}-P-ynW-{cT{(Dd6<> z0)Yg1SSgrW<^dpEpNIk91Uc;P-Mh~=CGKG_fXJLEgK0-1#6ApKow8apa~yWKHK!oU z0T?c1)kaqbF@#9-ZO`Wd-O7U#WOp>5z#OC@+vcY@XS3b=yCZKeO6?9i zvc?z`6uHe&a2?RKZYjz`(^LdX3Re4=grQF|B6}6*rW)@s%uTCs}=^7LmRx`AT z%rk&;KS{${>E(+atKl!L|A!i0`fT(SHHxjK$G4H#A2coEBRHbpEb<|RbVW4}wRS`C{ynqb$&Ur=Tgu;*-O*!@Ekid6MB*S zbIE4>!m=Dl~;P^F<%?P?vdQJY<{bZrx5-=s}vy}XX#^gOI$r-Cz3CsZp` zY@<@sr7m6pKBW=fQ-7An&yDuM!WGECl88C+^d}k$C7;{-8wi@_0ZQQHq7(;X?`Gp} z_#+$^wx>z-z3yP5>An2pJjoEzS%%$*sCB2>*i{~wLt*6$1CoC{oy$%OeEW@*g1XTg zodj>2t|i@2b#N4Tru3GnQnOfS?JAhPA?%}T`B*$Z7t;fc4;baO2cc%udWt)E0meyD zj~!vtCl4<)(se?nTRHzY`%&ICJ7`jY`kXze6l$UK7cYXe{W3+Xq$a8fgvMDzo?fGy zuHHcxLV$C!u1iYFbN%wX*b%KhcJxpnvqi zRtgDVvYQp);U{TONMB*#K;w#LsSz}TkJp(_EkN+PSPb&;0`I7IaFK-7b6qb_PwuuF z%!fb>*-dIW_r<`Vz@vBDS_hE8)vCr3*`2QJ-a9@sJ!+2WiQ%?zm`?dZep;!1QTI}1 z+iLVV6u?CWt@J)f0br7cz8R7B|Pz9Q5r_Gu{I`bz|kmEnC#(bDfvK z-0ux8rSN6&0^W72%&fSrwkHp5l0c@1M-ZBr8HCMC0u=e&v~0Rr2v0Oz0sf&Rt)pfD z32cy_WAxJw^j6{`(+2gI$uOUKjMgbySA4usQlnFG{6qItX{F!srS#QGex>Qfv{^2m zCUpP+vfV6V#u9|rX#?#bE;bf}97u)$+qUZ-`-fc;k)LI;ENJY-)A93}-w3BbmTM4_ z>x{o$^- zhXr(B^yIU76RB4LD>C8L_tdK+ZVvnsYMS+z6IGp%416QHk7T+BMwEt$D%orzavWkk2m~k~G zxc^M+6N{d#C%}OQ^0$OZ5|5fYzeX-#m)IOZ%aH>UL7$GxCysz!fF?w-CybKJ>)@QQ z|{%Jx}>(0Fi_=g(L!K=8-fC61mi`QcsRNQxG$_J1TuumJbcv0k`7U)U1=yy5=>i zys4!u!Z#;VH!@mB@Z+yHCDzFuRyQ)bQeLUpJz~3Jt5SYxnUrcg|8!y!LYaUTH2G10 zEkgdoU0qSg6xN7|DHawM8vi(XCK><&$z_=Cd9_qu!g?1iY7RAJt)WhuQ=>Z(G_p2f zSXg0X6+4A><`z(zLteN0_U*em=##6BR^KYf!YT*|IGT?KlphtHQ_DQ0ZlqvlCcbki zy{B_d1>6j2ITO>L79mIn4(aFcU$wf^rcUMVzzzQ7bHu%D+~+8P%A*5MkYzd_J~Rgl z!hn4~-_5LOc`@D#cxEUzZd#Gx2dR-hvN9H7w$$Zx>#Iq%k1ym~f7H3q-PQHl(-ZLE zIRxGpEF$Z4UBA%cs?)f`yW6%+7wABwnYG{=M4WWp9Mv)iz6a;*k&`ouSwb{c!kt(Q z6B84+MdC%97C?^yf-iZlfJRVUooEh6mqUUw_zdK+=n}~2y zsFPNma30B+Op5*_^vB;r5QY&Ga@dq`UOx=jhhTl`6+#ef%Jl?a0*wSbj8fo4*ZuwZ zT{3@$j|TNXq2+?e&B_JQFUE4Bq^kaNOj_!mM0UWBPX`V*j z6%!yPzFLqaNQ(r>5Zp0}K52}3(?05+vIwrkm(&NmOuBI10F!^0B2Qxnb-ZcyGggmxJ15?oNaDyP9jZU#xzV8p~>oOlj^6o)W67j>vU&*LS;DFsH5Bi#7&qk-bEq- z<}CH~jgwkdVE2>AidyPqpA5!-IO@A3sDC;pdQShCua5VeJ|TM~aOQAcp^Opt$Tk^F z!IZbZl7I};@6?c(9K@+dOBuF4%py2c+{FQq+_Mp*ZHP%I53G~MZW3b=urz_}DB3aY zV=0qHGy-sMeN+GGqu4N<=`514jg?bi>%jc9%jA1s!xalGeIf4S&ECqN)$qcDOQp~n~laWBoS+(lFYd3wm?JN5T ztlV@FZfR)q_(y9(j$H`nu;fAzfZ_|?u?D%cz`p?8PQ#9HiqQ~dFKRZ?GMLNWt11~J z1cdo8lSP6IB$^Ae;n{LD=E;*MyjkCY2U$7P-({UR4sUK@FUTNopyn1BZ$g%0)Yw3t zLXIjh(ZUFnx@NfXjTKz$wLj-K_{{o%G1Tn|F*P(lzT&je1 zVa64YY(l0AqsY}<8}-ZGe{acq{U&p$>)wE2;f>0`nT|4evjZ*!AW939ZMJ=FkrK*YQIfQ4;_>@a#ws9k`R!dq|2vSw=ZwsBmwupAMr*dZ1A$+ z2dKJ-e2g$6B>_R}lS;fu<@`O>0G*lXj1skCjQHuYv7CAEm z?WV?C4=%3Z-xATPA0A!oJR@v4wMpmo$ALksJYkF z;?FiCW2fnnL|4G>dBLClsR@-Z-h=`wi6+!3p`UbT65^L$KSydAzRBH8BM4$R_+LY` zTZmyZ4CYZ{QY zuybI%@h60s{ESGXiNr70*u?+Bz=sbDJHYH<$`hKGjit6I02aF@G0T4b*){Gfa7}#O ze=)$@F3av#VoPrD-pdMk{(SGnrqIt2pT1=0#HJianrE?f8ARLT>Chp3ZZ`0F0DQ~Q zv0@R+7%;A=jpO*?_w zkuQ$E@R|=008=B13^GZi+#B$O>I?SmDIV)VC2U6PnE-mA;3S^_Z!+q;xht9>K%ou- z4&+{l+I4|Svh+PK4S`sv%c=Emj=xVyBj%sAzIi!uLx#qh1>gQVTe5{i(@JCib`lzz zE)Im63Z_sSeJ*~wJLlQEYA!PIeYnRYi@r_P&|~M|HL(8Z90U^F3SOL7MfKaT6hIG% z0sr7#7V~5g%2aOHp^Y&@wrFVFpT|yWjCk2+QO_J4XOt-*16PjD+xQu)G&jA@^*~3= z_jOab_bYbJlCgX&$x?AfNrs|dwyrYb$u9o9ecAg;=GTZCJy#fSTGju;Uf0eGEC%lG zoHk>RpZ^8_g3hhj_w=OdPu$lT3xxC^|9hMngQoUxIbzlUM2W6=-7eB$OfCxrYH2QyrEuZq~btvBBq$nKu2)KiaI#Wdn5+ z^r(b0Xhj5=%N*bbcZGaYoi{-52yfyeXl)Stm<;hj(Eyne3b$3zBL-8OjD6_hpQg4L z9hpRqSSa{K?~VS)gqAD2vhnNewTXYKl_8B2fufp(mUt(GPW>X=e{A-7xMSgteGBI* zR3Zc?4x!o+ABvbH`3G%S2nF>}KeIy6T?~Hva`!*u!5-8+)MxiC0qibJkK{cOTlu=J z>S@J25fB{0UcEX6lvF45n}k?=Wffc`Sjnkiw`|?=zF-G5N?qdlRTCM<3+w-qad^1U z`?J#?4vvit#ZOhyQ2S!reu-|Ho*}9#g-R0Apt4Z)Sx(+1fnc>#a(veRn%eWEP7|mw0SB`Q5z8q{aTp^`EIB6VF`ow=q0(QT~C46^_+y;hjJcE)_0P441oo z`wi#39fVeZs-1B8jp6Ovp#Tjnt+Kj=@m0zzqB$KO7w~$n0K^^lmw{0@kdwJUPW0OXBifwSj)lRXr>&i_ z<|r#Kp3cc}@|#kO!E_$fDVTV29B-FQxLuI}bT_7L|=@|!jPwv-3fL#Tqoa(Q@qEU^}Yudrwbpj z)f+ZEDojIxDkA|wKz&v`f!Y!ENkmTZ7D4TP z2pY|^!*Dr8MFv6+ijM3oEH=@x-1!XrXkl%LUAP>jKk&3YWIRHZ7VHJ3DGMNV9{C8c zLO@v1hwY}75RLZy@9Q7eH*%h^=K@jE&UWl#D*s;Yhu3s}g`<6rK_X94ZCIku&!h-# zf%;kWg$WE%q4f-8v>@?Og13m-I(%CesSkiGluDFC{Q+{rHFBo|G?b{Zm|dKzRl)g0 z6hW9-1W~gnTCfBxqIX=1UbF>T0z6v2W4xT_pF^=O3l#L=EtvNpGlYl89-EEWMD8?X zAV{u+*S}^znANNi zjcy#zSXOWW$N@W+g&lw=x0cJ!qcMlw4wpz}F38H>-QJ zy0<_|^bd$wpI^fyidEyVM9_Dj_xL(od5LOveI>Rai=nk}E)xo5YozBV_w{wvnamsO z1DFPY4!IB1SGi6TF<+Wr0aGVn3}XkT7Q1p@Ko|n-T$nVIK9u|cFt`1Z>sELTSa2idY|%HHq$5Qyx$m`B`aO$`Hf>SfPP%9FhO}yRttoCg>lO3&{bdu#DvA<<;S5r ziJa6(dO?I!I0s2U@3PVTb4{i&QIo|OG=1n_isW*{;M=@u>2vcGhDLhC@m@h=42T&g z9x8*F7lnH_Hb$0gP_=tJIA2b%EVw|?S!kr>YL*7V)5l@ne3@_RZ5>Wah)YcQEuTW0 z)EGBq5_Om1+pSf{_OXD61)7MD+LXTFQ)J!$#HZ*v8CwZnNNsyh&3P{`?-^0jyq_Ym zkzz+3W9!A9hPJBTk0{`IYOym?-8-K>8qh!zZiY8Z@i^n}GjiI1PK>hTICAP9t&_<0 zU5qHzaQ*5Wfpin~&1l%Hv@p7Shp>OeE^Ye<2B6hMT|SN~>?d+B6i}`UMbIiIMUDEy zH#C>UAf^X3S=K~TjRW2#U`+`hHab3>M>+WO%*;%XkUX#yn+eOyi4S@LP{sUrVEI~ zU)FUm1mOmT785H3o;Ham#=80Sj(#e02-7l#!3V!)ni}GU0_dzLzsSu7M}qjA`<~> z9H6ygmIiji&S5H~`H)c0Rtq8l%9zSTv2ZP2sL$ON^ z;=ORS%WRJR&%3?Jl4FhN)BoCSn`=}9);JVo5#ez%izRsM2fFvfcQ^ajaEYdi_Z`__ z4C(b|bp05VL|A18C6UoG#CuFut<&gf7(L=nedbb_|7&C}BbE%XZ}3{&9Ou|zbXFTQ zm?U!}u@cf0pzQKwzDPpui?W5|Bm$25t$rJJzc9Up>MqB+7cvlJLQkx6%9jzEd9@L&tkbZyyaOTAyNIR*IIN7 z@$@hgYgI(UH2T`-t8{pZNGVthKvsB}bh;z#bO{qc;M%@U_=p^EM}9(}7BS{V3QGLN z!b;7ApNaF25geqjLb|7)ul|DZg?_>KMjl}NdDpVHp1k$>4WNdRJTq+Rj`KSsDqN1B zB+G99LQS~aJW5SCZ_}!oaK8K?O3h)Bl!NDEuFlyvGr+V;wZFH6#_RNsZ_Sc_qYw$i z=TU+R6DHJdWNCLTPfDACJ#lU2vdd2oNciRf5EIJoUCS=sB^FGb?*=;Vkx&G61#H+k zfC86ZH|#YdekO1bn8||vNq8WevB@hzWTKUk^6d6l@hyCKwD?vzcwKOWqHs9i<7!Oe zR=YfpyVrRyA~HIE&%^T@(@ga@sSR9v_*kjGztu!)GSUA^LB7N5<#^4IpAioc4M!_7 z1Y{W=o`keVQgv%zN2|}RKMnw&O9VK$0Bc75S{d`=lM)z+B9%C~ zXVy11HZEvIt9b>Do@_&do@%O1%;$iL_ja>HMn5~hv4poCNP8#XO^7?0ETVsaR#4Db ztxJMZJT#D6q25A_gJYmmad9y(6B`$1d)7GN%vL*VZT!P9KKcESJbu{R`B$D9#&6gN zAeH^{Fx$5U58yUfnXNgyh1{e->O8d8uYXSmmL%oT0B0i<6cc8F#ft+R{#0AbWHVeX z+ne63imM0;Hf=4#bRF!G<-$pkZy#w3#8t2NqQeT9qbmfLnnKmHf z-!wLY$o2Qxg?Aj<$F@hj|7IhLU0dG4T}!AE8oqKU=Bt7_h(ZC;c6}Y$_G2gUf*%?n zS8TCm8%Jwhk8G=N*>w%KaK`&f805}Ok^lE_pT_9%fzQ`pHUIw4bWZ(~4Gn+f-lRAZ zjE%lFw~Wdc>EHh&Tn@xE_6FqI*bYO#{#nsuTr<4k>QREc>%98%cw(Wk3q`L0N`U;d+?G}hwdE$qGl&!Tlf zq$NRtVjax_!IkUcPTUtw^#qgxq-V!;ifmgTfxNs-mK@FtIEl^z;t@(#ANYWDEqjrC zkSNs*M&r}`{PY_g{}MuDGg4`&>Duw;n+rJdBrb$gcfd%V(-jujUO5tLn-bAbOlUcXyS$Wy4G6U;)^fLMmFqB^0$YXITlD5FP-d1-*rlVPS=TVL7#?4}SsQHpzV*0m`$1 zv&@M-aLT!7(^|Q#D}L`v@^b_+sg+xBIyu7S#)a#ghQ7)9)2 zksnNqRw`Hsd&;$J{UAlBnKgP2Ip8uRD<=Uxe0w!u9T?9}eEPjKSZ2OkLFovzx0gmy z`Y|@Gs~rz4imR}CAhgf-%KY!Ai0o+X&+czj2SH|jfbk4=OO%H;Io~pWN(8ca*})or zixd2^kGk>PDU{9z<|^3Nh6^*^`WRW^`!)%>^q$kUZV&~bV|IPKE*`;OvcrFD=&;%Dezbb@al@Te95zlT{3c!DV5Fd zg{#kxa4~^0P6x{P=}kddd7{$gBb(T5ve+y*xfBtv3~p-3W?F%xw7?#ME*1~oXa`6$ zk+#(%_z+2(P+t<|9bPIa)aVg|IE}{G^t}&ALD^3B&*1i6;volN_?IPWIJe?VBjb!f zA^hzThG8JY*7w`KKmFm3u!41b{IA+Z8jt%Mui=iXX$&9L8rFbvEb~`lV^W8xF#Rmd zU4XLTivc^o8{To}z(X9w<@+2`sK(svIo?-D^LrRuBXl;q6&$Ow1Fqr zgi(^Mt7K2>N5r9p+jU$9ZsFlbThJMZLfD?c_c4ky__(~nZ_df3- zjl~nF*sc*2(AHmqG<;VWZF4EY$uU=x57gCdUJNS zV93r_xN*iu35mBr8UwX#7ZDv%tYVA;kpI4YIQe17bB3Xv{f1%F?8kk+CG)h6WQH1< z&8uhm`uJ4pXF$)=f=cHSdoBzAY*J%l zY=b%S4q*KD@naHWB4a)Y^Nxg?J--)RKJ6HpTOfKM6z&70!61tn%EL|F1VEM?oB=BF zFe!@(px>c|0RTWi;Uixe%6Nu9O?>K>5ZKZ}8iudOM6nuvWn}is9uDmD`-bTZJn{2Z z{6D|aoL|jE520x{v3mQMbVxcfVsPY2faLc^Xx%1Ia3es=m+XF_3(rW(n4`5py({WA z@@Ju^iHra#mF|7RWp-T|G;!oQMu25mgH9 z6J5XZPsv_h*RHAGrZykS-vxQ>!FplY2)?Fg{kdfWY%Z|x<1_!HTY9NYmL{;gw+5vq zkwiFPbAuBG&wP1mm&sn11K+AzzYhKA2FI61Xk#{%_9Il_{%qf0P!){`79a-rP zB=2R`7x?WY)qOpjqd9k!oNpFW-PMUurX0Pn?)v@^R{WR3z9 z>rb&6d}FeXYEpQ@6l*`AEEc(BVCCif7wLND75JfeWe$!i&y61dekV;LCIw_Sj;_;Z zy|K@4Cr(f)Nq)*i350RyQAlc%zX+h%-%XR}PrXF$q|fbV&Ye?2*ZmCBPTRK)4JqgJ zpnzi!5~)0&H6k_q1rculM%h{e*ga|KpQe%#BU8z z*wCK~^HlsFJVQp_r*aD2_6s0GfYzXnA=n1E&$8#N>|caGl*C6@RRWarzfc_h^1bm# zS5ITVna#J~8~^#Ga!m61nIoTvf9{(;($uj3!+)HbHu84=LeBNiv)M+j$!Co896rxa z8f`fku5mPu753FBpBcN)n6|L@%A?;|jNBOtk8biygEaKs7vqih+qIr+6=!QUyoakN z`*nr>pxJ|eph4(QL@|y;lL`aj--G$b-ShPBIi|QEkaw6Cp?Y+}ymOQ3F=4aF7}dYw zQU~Z9nI_1PP&Hclq>6PHAPp+bP(D=4FGJXiJaZK&WcK#gv@EXeI)k^=6jReaFZySs zAXApTS-EPMKi1>t^^W+i&_c88BjHEY3tEgvzcSjm|2t!rvHlm~M`W^+uEHR*L;@`YbST#P`a-W`9WG^qAxx z;-QVa{=D>_u*_FILYxJPBammo+@}0%oRyUMN=|Gj^lfa;;&0k;WZ<8+4|^s8#0&hn zWc)%R4e8pc(9mOVl63y`RDE%3hE8ReE%}GX;^dIa`%kPQzN@CC5 ztUq;jSDaOvd!VrQX)ZmTZ8AF+$s7rpWc0Q_uJ`Z;uY5-tkJxifp5lhV2G{1Oj}N)* zvDr}k=hs@Zw~pJ;_<6F9jhpMzD-(_cEz zHPT!E$a+WjOK00K?pNQ^CCalf#byHn24q`0b!vF5HcIkRq(YMUE97&xwvA_8vm2leTZJq-2yVdsuXhY#w{c~6hIXv&END@TWXUk zYm=H+l@}HyRQ3nZ*%h%{@#zfVRh>Fq-s(^G@2&cYA#vfPyyQYLvrImc;ThM!!4(XzIlri@v`G?G%dm3wzrpx=`V~>5lFO# z4V8gsM@L>4uTi$hN^$KU-nA}cF!nQ5n{eq|Lrx6IJX~9!B)?%@fuU~PHPfj$_kQv% zZsN()-a$r=>3z)t%pzD-1%kG%reTZk$1?FkLaE2KsQOwmg_Im&38`ETwhYYg7JGBs7I5&YPG_dqzk=_QZDq)8O_-mTa@rW_fPt#@TI$|mA zx5rd8tDKl`#5)TDm_r%&z%bM>k|o3f$d(LSybcqmN4~PSN*A}YuN9sa@TX@@T`~)C zIP$3WfbmB}&w-8@uoU`KC4a{*x{ zDK;pd4f0@iz$ePn`!%~Wk6hnqy9Wx6LX1Z{DNzzMlunz=jLg91DqAzLg%qYt>_b2y zNVUTI?1s4cIiRkR+d3IC2@h5Z?RSdr)fRnb|1{YnBt$5`7h{kn$S2j{S_OnW92psu z5s6Nr1l9E1*&t}veJ52~7|@D@2=X{B4Ko4OK^$Id3FVLEl!cHN@??e6cIig$@+f<| zPjSZl$IEOB1HIX_09Uv<`wyT%Wyrocd>C zpiC7z8l1>#GM_l-q4s2@P@!;1=dqfVjl7NPeSEUT8t2TJ(*-LfM2OzYX@%EOG~Hqt zw8rE=*{nBXu)-hiALwf}JX-ocy^O6eu894Wa0MQF9)nB~BX0kJqrOEV&*p4paBYVt z4b5lKvLmdRu5&3_5kQGVRyqI|iOn>c8%p|6Ea_U4_4^I+t3)PwFftA4qKo?x_fzQ3 zoJEVGp(7B0(7)glG?HGb)?Nzzon?s+=uZko3tZUqZNTHN%n1Auj0{O5fU8C*?<%!X|QQ5G%_I0 zi{CV9wK1AmZu?)t7ScWFi!)X%kD9}f$bDrd29L%M?=d*+0JLH241Ix0nFd6=ajpDhce{&++1{%gT$?C! zcZA+PzjpbuQuulGgPDDX9bbOewtx=Y$$Yq{i5=^F_sShY4sIF%`H{n#@!o`^>V7Ws zl}k8={n=jH=gq-ykP}`Ik5SXRG$^qJ9Lv)Y$ZCE53Ei%tqkj1z)_Ilp{VtB*k57L8 z9H2N4lQQC5$4!Wc5=HhJsW4cbNaTwoukgw#JwC`H*$3jgBJSY*nx7bLVsf2}*olT9 z$6{D*66~~X>();6^fE*rg2TnxUDmljPAF6J{b(I`{mS(!eM7Fk>pGBRux+J$F#FAV z_)wtq8tye>>J0Bad1Y48%n`N^K1r%W_a4Am@+JaH(zv64H711c=9`6NuSy4;Kgj5flo%#!%SOO|94tsOlNw0Lg?c0#{rdnF5 zn4@t3CoM0`UxpBxz1_w7E%bFctBHfi37!o`>tN zTJ`Pq&#-I1Mahm#77+wN|BtOqfz!ph9C#vyDL5+M78;U#28V7S96TZ(5A@bmAaMZK zoF;Z;*aym@0%lAti>?@z^>a1jd)JCo+jn>vmi zO2eZZLh^Hf$5E}xj|@9a>`e{Dc}zu+#_*-Xm6ivlA&$3x7BlXVYkX<tZZ(_=9kY-qD0FzeA&+ExA9hz`PeI1li$3Tg=X$M{Y#?Ft2BW^~+ym79! z$t@e-G&FEFK+~4&Q7`^@2hi%KgPA_fUpGl?CZI}5Z&-`J(BH@=EV1`lJ`5!71Zd{m4146rf@uc zQCI2D6gC5-3CiY6%IgI`LUoi@&7Y}B<0bIx_dw3|9LZEhrlOM>Y0ZjGZut1X>RZ2l zpLka@apZ!Aq&RO3CUbgBUix ziXwv|q{%%3gReYU*JarvM#i$OK3z3Od>K7Ka88g!^c6|MdBQO;BaW_PpMp$g@ep{S zEdj#=p+dpA!9()n7y^;Zx(DFK@l_pNpV*$$IQhz<9F9Bwec#?_N8{J2+=0uiUuk2< z>dszZs!v|DaF!OBvGPg_gp;S1PlqveJlB&Q_4PjS2_ZIlMH?p+>Jv2%#YQs@CT|`% zdb1fLFvGf{G3n|PWR7(qfNK|v+wSE!xMn?hwrV`%W4J-x1M6K^P?{upr~_~JoG^a; z?)ekS6zjfywr|TiHa!WQo)pqdPq9%|LNwI)rMGpY61!kzuPecf1?g+rRKBaaa+FBfEfVR3TD-S{uB_y?tdR-UXjdZIqfwl{klEy{UECIM?!$kdH4@ zCS_8+oIO@Auh*Ks*KK)vd7g!~g-Kwz!8^RaSm42e71w>aAskhhL^onn1@t3TV`RlhD3T>|; z#JHV(z9`Uls~D2htr4lq6gg+1nsk^sWt_e|DxcEJa+|_2JKn`2Rxri4RP&BgzUk;R zok=e0tJPg_Y7n`Qr|Iq!?qUe^7DN~@3iX?dY~Mj}sgMu#JUm3>t>a>2-7OFMb0V-?V-;UL?%q*xWSX>Wh=a;F4k%Tkx*Ucr!AgPV6eUzF}$jQ4g+c zW-iW*6ra~3&pgc;T)7lES5-Gu#!<+L=`uMr1`JLHeL^@YrF#(;fXA=Ll$4Ze%4GNK z@#gt;`}Qy_f{=6LlGct^tTzknLFl6hGez}JN!VvAQ@})*PKHaQ$k_|cBArK4VOK%^ zU z+OeuZp?=uv65#mhjKc8zjGj~N;&PM6wOMyHZQQl>2{OLqeMg=vp3WWaE~g4U40DRVT8vS>hF+~^gSTJOt0mAGhw{s$pbDPKbobP zZh=|dm>&Q++Q}L~7B2=U#n}waYolcWHhqM|%;nG^=ijl>_CpCc`ml%X|9o3`t^#;#&d3C97R~7Opx%Xo zLuq346DKFqm?VhkWp}m>+Tc=<@m@^Hur4k{AA``qc#Lk*6SjaiK*a~yFd;NbkunzG zzaNCj%Cjb`2!sZb=`ID3HD1{fkDqzYDB%~X-acT%7Re#nsMF^fwZK8pes6%Oe%cUO z=WABTbuFT+367lrXvt`oRbpn$#%>SWHRT1xD}@+phc^grNPJ!*+_^yt>7Qi21+&oW zWD^h9j|4?O)a385uZe^R|8@lT0X3`!ITSg(zst^k1lLO1@@;OoG8hND@i!M1pY5F; zqi$qqSiW-V5(YOVaMsTRTHq?veyDB&8Rt+sjJ{kSUjni| z`nn^At3LLcw___B?2%XI>z$Z0jK20R#E&0)om)yYk&)Ma^KTpQ^Z(>S!m^a)B!kJ> z1x9~{_jFO5>QIQY2y`)+)@x7+O95dpq~u$^JT%|j*Zz*j*hetD?;t}BD=tOhLN9U! zRAjtYJ_iR^AkDe$dA^#d}yH^uy%%3cZKQH^uZ+J|H2`W`-$+v)GyP&C-VO8EU z2qfcr=myI0Ht`6;!kh2I;YOVZxQv0IsHdp5;{X`@3IhR9rEB5PMSc@AaM3!LKTu*W z50kuz(5u}f=&%ZF=P=C~`w)L}1Aq7(>B2#TR*uxYGh)zB@2CHX3`U?fShe@gW`Gh1 z3p2W>n}LAr6jbD>XUO5}$kD6yD$<$hQoF#@Y2Q@Io`TWsA%b7Kv4+4X$8_~nIyeBy{q5b z(nO>B-$klnL4E3*A!L90$`7}_{-5Lz29 z|N0~p29=6%@-PW&!EB$H^#qv|ac#z@mLS-PK86OPEG!%2jy25*0zS_F@CgMXoid}j73@5Ft-d- zHP*`!8+&qG#b1E=r@$>@sO<6iS#GXy4wm1V912x{*Rn>#CIFx83?{hZG{dN&@~*BM zQn!@rbw7RGOExdM4nw3p{c!i=YygTDC;gy;HXQEK8Ae~6`M;j7P2*nUG-g1H3p`^!8K8cNNJvE`S(WBawvR<9@N5{tE|AtJvF=bT!&R)@(>VGZ zz8U+Mp?jw2QM**=w{DCh4@L5yM8&f*w79ADEn{vq!kne;AD^9TQb2oq3lZX=rf8qm zGF**x$n2zdR6XF~R9T=4HWv#4#2Nf^qCT`8U4%wcYPdrxoAC%gHX5LAq~0@c7?x=I z%|8IuRGT*}>-;u3Rbm)a1omGr<*~3}qDI8KaKLl4?cxA`+fZho4PG0Jc;B`j#sNQx zyge-IC+{}GVM~1v?b~p_G=k}$1AJWsN;QB})AeE&(au5YjVi!E)Wb{mzmKB;D|q>k zM;apUBeuFzaYq5zJWb%*l;N)^j9l|D2)nHS0xff#7)a6A{$R2RMpn($QTcb+`kE!8+DIy>5Vv}(k^|dLA$k6Q zPWg_a%E)F0%V`Cy2kFle7>ABq&1Y9k$k9Ejuf`WnS+?hT82qyntv4Y}2@?DldpV4; zK)KfJ-|S^ABO}v=4S~wsA`-bm9F00-H%PT4e<8XLC#QN~0?9rAFc(q07(qg|A4i(&&?{QUW3NJ}^L zZjvR|37U-vB>YfZI3lFwJt}81T<5YAXJHK&6uTid@YXFLxj>sJuY*Oa-T>EErR>=s ze-yHfU`TOCp+wWFGOz-OD+s1o5gvX7zitpQtA}O`Y>=iw zW^yKV8*d1;0QHiIPGUhjjWI zbL@mF_Ysy!$3lB0#wz3sN@Wzua7YVpbo+ineg@{Uhs|DPO_W3uJS|HB<7ZEwDuA;> zZ9JwZ&8OyThjsqsy8OxZoX@^Oy3)ZPyTC#v=>T4|IO)A^+_=H78-z^yOFOuq6WKCt zh;Ee2@MjlN#5MsQjjXZ}o+o!gvO39nq1!x#mkt9?C!Uhs-*}>Fw0YEG_s!lSe@k7LbQx45G1E5b1E?>4V7YL%?QDzUNwXLVAr#w8+ib>VU9=gWlWJOp{t~zU#%pwEdUgYvGFM%gDfnc@slu>SxfkJ;w?c#+(kD?bEA$AAmly8wqR=5EpL=4$a*dn9v}&y=LX$i^Wr>Od);Drom1nv<7q=P*q5WTg%Cg%w200=5^0-wUS68w`V=N*S4$P_lC7rDWjqDMbwf zU-H2t6$S!X6hl8pIZ8C48Z5yZ!o&ikdh>@&SrdsBjZNk^sFuYP+6_sP8ydZ2q;0sxZQ90!YvEwKMhB`y1S)%}YHqFnK+@??(M6Z#2hC{9spuvI( zQq=r|@k_IQ{wg)+D;BT|BvYbOCr|3b&ocYQWAwOeuM556d&FC&bg9|($kb(T^{And zy4!+MUKKm6;Q;qI#{P+r9m&&R1=J0{YxFU`atW6pI zmW`fLPN^8WEajv?Ys2184bnvqOM#D5_z{yuiwDI`?z>~vcob3wyQ@_8?$w|Eo+@jV zJ##*jW%kn>Xl=;P9fN3@Q{q%Nby4k1%xH?7;#_x_@~%r`20QTJMS^xfg|3K0r#`CU zW*C%|A}s9S?vJXM6TDKDb);DoqOz2ek_5=bM5@1{fd3J+Vr3K<6>g4mBnIRG)&67e zp)E!3dkGSCZ^I}vE-L{K6Nz=OZQ!IU!?o)o%7vnORw#CGI)N|E2I74zy6*}A>=2wr zH9gufA5u-hsBw6A)6M;38%z)>L5zFR9P@arP@+~4GK3~T>p&G|{FIT1%L1o7aO2ca znaypc@L1`!@6e}|(}I1)ytTpdtv>cF;P=OjYx%eJ+7-dq&EsStPP9m^gEz!y2+h2Q zaU@f(_ydiGZm-E+2a+>U=(8LBu3p`_bxO$o&!Cyy2q8r|d1vtZn%ZEy@Dksos2+>* zTU#i-1hePCX|}UvBJS8^l6V;nlbTN?>=1Q8pD#mM!ovizoRfM$^Vc0asFgzL7YK0F z8UYn#4Ck$EvqLr+a^D+@Yj?675S0iO6jRSu$OYAr$%V-{U}>vk<$MT=HmvRWbdr{p zd+33PNJO9f68_rC96IuKIl~Cn*3!c}a69)LKo_6alkE8Ot@YRUgw9*Fk0<>786RF5 zZ{=OEK0;kdmybf-StJEAesSl4@p~)}KHM`Z2l1pJgy+RBqrsBXsp+}cs@=PL!1JIM z%yT*`XVYaU4eD0}0SS3W?1rlPA*8ZK3je&!i?=1GUs|#B%w`6|@%Y16g-E#Z2*43u z!JpBO>18wx<$LTgL1Rg5T=p7rIXS}G_<2w8G~q~8!AzIetLun!pX2~E6HPQbQ|`W( zM>rd5J~$7dR8Pw3@d&?}eVl+BfM+R19CE02x^mYQa7Zm*zMNEW{uvYHU4UKoxC1Tc zYQQreRg{$#L$mPu)jzsDR5W>OmY+H8w%y&m{^_pJQF=~C&BI5touckfq3R|;2X$}O0-xX26|ql>k|qf? zK=wok(3lsk_l~moj|%efh4l)yyCA3BxOxlD1Q(Lt7!Mj0hj8lIp83f)PxU~bmYiAn zm0r|c4Q66IOwfs}Qa1ySxI^1fePcu!lMhv%z#w46D4W!lMVVddi_w^wlKBjoG>5-8 zcn54yRRf7Emp~W_CE$X{2CT;H?as|uZmQVOB5OW;IM##Nmr%~EO+7cvFXzj_>Ws#@ zrQCrxMc#-Ng83Ao`B0HxhUHZkrUaY-@+q@IzBsl(bF+Eg(s-opC(1pii@{ zI*%Q_3G<2Uf(E$-rKgSR9%%g-Tn*Pw{muzQgJ=RitWuT=Ku|z7SWV|c-&&O8$TQMh zTL!SheH@D@8%3}48c^b^w^~_XnDbo&s?gQ;nhZwnAJ#QLmxp>sBFNs7X8ELeKmjHx zzU-4y!(dpmr(B|d$`H5BpkGe8K~z2r9wKC~3*S4va56^%(+fdITn)Ix%IfJ5_#0Ubp!ig!Zi0vNg8ncS@B)s{hf7GqLVlEs?qW&p zr2JIipQS(vYq0rK^fSPq3tU7|6rkxV`UUdAL_ZmpRVf+cQbMjBR0?89EyC2Bz}=vf zhUtqf4eqU)j$a}56vnL-7z{4sOm2xV$Ut=cZuXhUDw6Slw1&}Z+;EDGhIRVcT~*@1 zlRhRSrzq=W$Ioi0EQr_x${qeArAAWqfTRvJEo+rv2Xt^I^+~HwY7L$I5!h15z~On! zxgmkkQ{~Q|87K)(chd^!GZ*)hu6Sj}k#QM@8z=h|y^`k!5W=6m|_%xQtGfQeJ&n&2JwTfyH9 zD@u_h?WfCNxeKcO)T|bS3F3+JBb1T$4q~>cM(urN^I=fNycL`OqmsUum(Bi_;mo?g z^@ek9hYSjpZ#r+}G97H@kdzhsjj}H5{!;rUI=p>>;le3xztUFxUHQiSnvLzYPvZSs z2Kr)b?Mp;ewZQ0B$0wBn#X{0gD8M`?ge4H%hujoQ&8jWYcB$ueMj#?*)fmVT z_+$bj^NObwFS)9;qEE>3G{Z*eB?C!1pbLZC_~GKF*NA?LU@NBS0+2o$3pWMuc0`(G z7qqd`$*XOzf-aDbPztVArQ!!?vq?(NrC08(YW)SLv|VNk0`!B*NetJD6Sct6Th!pR+z<3>?F$fPO7&PoPm7*?pj zRYRo=**1ii({oxcg44$}B-eV;O&Hj01(3z!p&p7jpzg*PZi|-nRiL^Q(z=ep4*a0H zrwM&Vs=FsWH>rN-hOv*$Wr?Y*n&cR6uwApC8#ws=H*RqL?dC1sc?zWSxz~N zK}q!bj!*kytf?ykP?ol(^0Dx0C>>skd$-|f(}^9z^G0YM4PCq+zG}lYS)SZo41DW# z!UuHPAT=vD>XtV4*Dk2v?5d6i{^dGi=y+aPss6hA`vJ5M;f1}N8!UnpD0&s;(JCfI z%iyr8;r@*IqVOaWtahJ$1^t3vGo-QHTd1|gI5L=qPL(M{SoqBi#c%v3ZanSJA&=Je zxgeM^P_%PO@}?hnnBZ)Zr#+9C;lcOT(u@kcMIsOh7!t zBbvb}mD>GSqE+#u6hSA?RwcqhQJF>P3O&%JWwN_=t@RH{MqgJNqqXsZ#~HgKgrB>A zqWLN|02TFuS7w^A!OQN~+^9bmYcYD1b-2;~5VEJx!Z zP>OTM0Sz&l0pt~9r7{YGDq3ymL`9t)B8dhy=xp(0F9Eq9X}WMV;(ciGV`dQmDF zK8=D!6&ayfuPrFF$&cpPKR30GGJ zG1{^VGJ5k&BL=wh0PYe(8!+6GF(kt}@?^V2FxW6eqzQ`kJxUEgeSbzZs~Y}Nky*Vfwm z8Z1&E|dz|O$M-3P>sY`lVE^KTg~pN;3+5cpB$oderWg-SX1orIDc zKA~v3=4wasFQLqz`xvJagn(z(3WZ_|FivHB-O=bARF_Tcd8zJ$L(IAUuU9pS3l5{Q z3IPET4QV(X^gr>U016mQRb}cqT_B?)d@6N5qo|j6;Ly@A!}G6Du?VF7)^GpZ^jM4C6s1G25U+1N1@;1vE#d(YioP(pJ=K zCU@$`GvqZ8{Dh+Pb|*DEs9y=XBe?+4wCD^TMQ@fW2m#flTmbgHX2)y;UWtV7Aik8r zqu+nvT6^gC6sx9NDCUe%H=-K5iVm~%*01Lb1Aa;QseGsmTOXxWxFD(m8Pq7rGu{l< za!ekd`#a&uMPLLFqC|{*Dgp7Fv;f43iv0k1xYJE)U<(@jD2slw9|O$Gt~S67v_|Y> z{p#6jI1!506-X$3+z|!JBBjg7`iZO5Irm4S{Y04cIsV0SW_|yCu?wKjb#kj13>LK| zK$1A8-o&D70VHx;`Qs6(e)UstWWg1-qO&<-K4$JXRg8#biYNmFP}1n2q53lp>O?Y< z!qiZi6>)u8E3GKd7oZ_W(DyGS#A6AYzkW2$vJ8U*7ga!R@i2p-;#5E&5)UMZDoEj2 zi2V4w%S`10p$;s8=`(ro>tp>|i2L;sNRu0drO>8VS?+n*d~tfMWl5h8JcZpb{(H9<5rqNg44C8;u z>AI72xYmSW_yiN>S7r_?{cB7*^d&ME<%X}OmN=f@bm+@U!u z^MZu6WTEYr4RRMUGW&aKzjJ=nwSQH7Q^v*FpM++*DILilczJ1Wo=-(-h^zo0yRdWf z7jd7Ns_fP=!^6Wee<6I@c%`H!srZP?b?GF<9A9iM$&mW=rfYNEM6^&t<3H9Po73|{ z`H3zP7=oEG_WHkKwf!g5Iit6&lQR1U26C^>w-UQ?2*gItxNa>T63j7NH-3?> z{^(>cJdx+5&l=dCx;+ek`SMv>jVHgCx45UT#vf9TAPi*n_OJet)Nl-R*Qv5gmaLLJ zc4GeMU%T_keIP5*w&{;{N02mrJO65n&z$~s6|L)se!xeva%*fav2}%v4=-q=t&pt< z2o<~#^4rPTR&VUmXC7{}Peqq1d=|AAEjdU(iU1oa!wi*#Y#(d2C<6lX(nt^vR8up6 z>*L@mp!v&U$F}3IU%wVc-ECO4KX}x! z!q!fBNhhF719YXJSe3)^wz^E@nO5{+@}A^U{qM`tvWK8#g%y_Yk9_d0CD!HEZQFo{ zhXl)9;YY~{zZOF<>}j+Sj^8-)usNQ4^5a%WDoAW*q+GtzHr|JvKlJzFy(rV>(sT+H zLSDxHqaRBnuMl4d)%3gIE80a+$51|y)vT7#XslEeZq&h@%QTZemSRJ%*x! z@*$-?xPrlLQqgxKH!$|)J@|S1MQBrWKApK?p;B`x1=o@Gb{yGi0EV$ck#-JTm{Q6o z-Tbf$ItYxXf2LWC=BYy$BT<=#L%_xgLP@e0MQk>PzuTFL0CC`xs9{hCgg_EdIx7fA zY4qN^w-gr%JRbSz^x)d5H&O0t5w?jXW2ihFY8$i~$1TOF(U-?0lJtJ4U@!AfumPa1 zI4jsU6}CYj>i!8vbdk{r+qJ@`zKexMybA+S_N1Az5}8GS&VGWHpkW9Ih6->>UM3MJ z?&R&lFTu<8V>r%7p!am|!8!te=@(FixLS{Rr|yFY3JW?7ChNqK!(d;CwUEku>11Rw zvnbKJJ|2wSM5G$k>99r><@MHIep~3Csca81QgC8+&%?xzSoh=N4_6yvRO9eGGCY>T zP7h~55p;*gp2nMj)M((j(dymL%xo)57WJoz{kF{|Px;7ljZcFDGVyAYwB9v^Cd}X! zOq(*LaOnk!TQorj5OJltU~K8Exq>??fRlkmn9EZ8H{z{Es9I{WfB*gWH90Z;>R;Y1 zuQ^r;5EStFy{NHDlPnXKHCyg5w9k4<7s=Hgq$Fvmv9b#=OvY>P_PFs_D6lFzx zP}FIxmDUnAQvDb#pqE(HyeLqpr?+(2cH-*b0f~CY2}$T98HN$K6bQzsXpR4=6!MAlg+H@tXxaANcDpyUdun+@p7zRt?{8PcIJo5ZMyZ>x5<)WE;^z=$#?iW zZNa^AkIj2K)L-0W#ibXS9kvR)re))_mNb_QE-q3NC#A?8y!HTdZ#z( zOq{Hf-8<=zxbkggZF-%H$1z;>N>?mVRy&*=S-MiF`L~TnU$yk?e*QwN@nt>{6p$0C zTXO@A4B?(A&m!duy562glg#(?&o?Tsq7RX-i1+t8Sn?Qj!DZ1@&*154v ztj?8AEQra=!=^5Yt1dP4=CFPhzVRq;UD7k}joi^EQuopaD0(md2Aj)u)&Z_?^t#RXTNlo`hN7L5UW~h7R_BNjIt&(4tyu!NiQumjZ z`uWtBHb0}?qFw{t9HthB9i=`u74HBYC2BoLuxJ-VbKufyQh!8GkFx<)tNOR!s;_BL z_=l3t7*!ogDB&s})vBn1e(A}BO>Q^YC!=ty{xF}D(_r@xzCJ$92`1RAc~&6&7Uk8w zF)#09Tp~*jeR-JuQL9PzzPX%T={#rI?n3Hjg#Cym=wyLk9rq%77q>_1}fipJL1>!=n68tSN$vX(?0q zoRDtzJ8bJ;bsCii#tybbVWamGP>w2~a$f&orxWBQhX4UziD=S_R%M@UwHUP+dCGy3 zfHv*6bUzWy3H~Sm5_SuoS>)eTQc}Vn@Zv0HOP^6F{~qP&mlxN(uQYAOe_ychpOkjr5Z?cuD&qft$ms3* zU%gzK>%Qn-L_Ytu5VRKiH#QF3IG<3a<&5=7J-<`)j9OA8!WVWFD2!Ghlq9PK)ln%a zG!aEaBXK;!MnBSDZ2s~WUB?Qrzgs;XY(fd^Dspni?2Y%IlV$U!Im(>q?nx*7!EjG`t?IUnvBCNk|nHP_%j$V%IdeFjUeVG53Z1` zH>F19K=a}%-OzX>U*g`wSDp`Fb=s_B*gYU25EQY*1Z%xM0BOSQcE?WC)%a2NUR4Wc zx={}d*x?%$HwZJrCe>o-mp`)FM{2kz&_^QRl?Yle`P|UJi!>Eis!dT6N^juj&oQnc zjDx0@n5P2AO!aXPo-nND) zhucA1H$ zW=w2OnwR=Pl-T<{Q>|zQgUOluCt{lLoTZ}Ob?v6ElNU2GTuuc<3$K~5*RRIpa*avx zf7!kLh_4gt)Nhk0_uZg!uQD%2s6dCVRiyyQ_tJ)A3juV`b$&m8z6`TuVh3Ybi&So9 zFgIa9PHLFQw5G?<%Hb@B|L(;a?SA!nv~E0cH$EnqKvn29Qcd#Jd!3{)KXHb&VrxOJ z5;iJh4{*VLMS-t>s#TTq>Np?P(kC6(Yc>|Z>ZtG$sp&}DN5y}d9N*fm~zy#4f>h79241RFP3no)2D$EhUCfV5h3v@?{ z6|(%Oxufq%^6+e@CXL*+l$C>EZ}{%aa{o1Y_`v-pU&`5*l#z0_IYND%Wz6w&l>#~i zFQQtwMCYcr4fStb&~mQjrop;aPjfP!_Gb`lNqB#z>$EDm#V8PJ!2pk@o=$Ee!EC^J z9X>r>E|_fU;E-}XKXwIgi^ZH>a3p(vn-h^lsEs0`%Hc>sJSQ}9MJU1eJ2~O2!C+j) zFA7kAowiAf_h<8}OqYVX{=p(@>cFn}BKWHAfe=t*GVBr0uQQs~I0g94 zcawEg>zAkRzBaoLFdSeYh_C%&rq924YC=vX?t=b8uUIM3cH)C{oZm)q^SkN zn#vxan8a2+9sFB1;Ar=-|jI<6SGVwH7Ua#nPR)p_CIy17zowYKVGAPcKHFCL2PC7wk@ z)Df@aKurq8;Ly-4VZF20gAZLD7Y2Ajt=E-pmNx@yq(+vAwGPCF2A^_09aF~mR#|>srn_pFd-`-K2l~3WrP#0-<^Y6z>2Qb<$ur*{$$ZIY+zgpC4Ft-8Az; z61Owt7ApXgg%*bc74_f}iKt8gj>O6_Ib_{hzn5BLKHZ3u@{pw{I3t)C5JT|sYn2B# zPt+H?Zd&%J@oZlT8oGFF^OTYUh&jf_>;UX}frmfG_`wSfC4KXp zeygTNvpm!%_s78160kSR$Osreq2_aPuIpp<=Nx;dbM#zVe%q~bWzNyVBbHqyc&~W- zj>F`dfssO#vLJ}Gc$!%}V4sx4(w@v&%yW|FE4UJxEGvuhKRVs>+KIW7RM7U8psAIK879~S@#zNONV0PL9an#}P1>}=5hQgmx0Dxz zhK2pXms++?#y#cJql3Ze7OU@y32@D6TtIjBEU8`4!wHNSgpqii-+c!RME;@ES);I3 zAG#IkB7`Ys8*2&7$SpY)DxQ?SCTy!)t+-g-%TGemO6nqHW( zMXi^{UajzMlrN)i+pKit?8!oq9uImNeX_cUX9kacG9B1t zRKycbiRd6>L`J6qp9-vwR1*wb_z#PngT2`2$=hfxf6m@JY$@@Nlao^<#x$`CWC_cs zO})MpCg`(PX=U>z7VDtr*Y z>BS}6NWM=(YBCMLh;sSU!A!F4_@|}~k9YDVFHjCQW#0z8uNrnjaBNH^j%yD66dQ@* z5T;IHm0dG*{_KjdXTyR~SA?p0Y-AEwDE)EERN~?XF8tvKh5Es$^;CuA8e>`08By!p zZ%n!-NGDL?kn9X>_fCwN6v=jV!P0-@bf9s-P;(vZoax2>AS~Voe2MT+QSIMnz%DJ) zN$jw6X<&929Fu6ans;qoX#SIXRjp^woKXOszF_R{Kg1V(@nSD9?lOB9Y%n8li+>7# zmzoIS&FIVZ^snDY{r?y33jTj%K6-`!R~z&HnT5pv-92I3L^2p@Y|aG6HKT@$$Ve)1tabsI)jXIz z39i*`vR_6)qA&!o<+f(JBxI}>I(G0GpJbdlZF_!a;z2ocnlkyG@4)?o7pY5MA zfgkRpA%8&>(mw_U2GTqQ)={9v$zm&4f#nLCds40Qn>yU3774GH$I`rKk0kJba)s%) zrH1I5HFvTK4s%XFuo;$}b)BHJldc)9Q@Fz5-|y1Yky=HsHc1=PMPf9Zpp;iqRhtaA zfN6Qk$wmC)U341wuUa@IOVE3$DC=T&*H8p(eal-rdVzQg~x82Trjez6spHf{%P!s== ziA~1*Z0i}BSgoni3vd)PIDZ*hUIsSOAUA~=XFz-=+$fq}HO0_%LPe(G@VnDNp9mnke9p9&Ie zo!u{CcrFMs17Sq}Xa6o?f?DutgxNwLZiiO;R_B9 z*U%oYko0`>1~c^bgckFqZn|^`U*JGuRY{0P{{sCe99B%+nYo8QTeU#v+vmM?b_)J(eJ>gsCP zGH>o&PIl*~Fdrm|#{9Wu0;hREDqFFpaL_~Su-S)ddvF5MYNqc6rB&;}gDd9g<37Fb zn!V7GQ}id4So3n*oK*Ip_jGpl=4%`F z9*}=*ZTMoWfKNdI@4N#Rt4Sjv2LCXt+=*vMrPqV4oasZE0cQ9&7Y<@bt7~={=R``yIu{r`sBe zbG(kmqnNN<>4XD!TdFDY%b)BYfhatNexL}n;#(cG2sK+2M-GhY zHs(uF^RIq8U%Hhge&)+FpcJ_LB#DXfH;tf(rpZiI3V6h8b0}Z=kpIYzuFr+imzqvy zWtx2)Xx$M}S0GGB7s6y=m~S{1pdl*au$2#RB;V~n70_(E8PtPcm-u;1f_AYiEG@wX z``Inz8uK3;5o3N=607k_kb13Nb;}!kDQ6iNaIxbca zWZpU;Uu4^iZZVsS*Zem|PV7z#ALJ+(m%V8}+au9 zBqg=L8-cxq2g%A_ym&E9seYg2=z+CLn>mG91d|?-{h5sWP)h=@By|fuh%i%d1e%~2 z4W2ZMTeEfO%Q;DZ81t%Ox}zKp~hmp^zfVJbRd)0l0T>#rcN zmm3X_pzE^eY2gj!&>40fWfDYan`v=CW7DJyfURWA!|YBNm>^6RI634M>zZP7a_;@4EKOFAsqr5)va%9#X*LMZ**rA|YKV3cG3(SU_r^1CWs)`~_N|czZrW zwEAZzB0|<3q}f30U5r5}L!rZijY5C()`y`P&7QM`{AN*>mqMtZ+Yjbz5Jop_nlc$o zfXPIl9PL?1NWh1Cq@cAnJGQdCHKzX>ue6qkQTDFyRbMq8x!vYs=O&moeE4V}XH}{X%2_Ms8`SIf=hBm$fD4aDjg`SPDdwCkYj%O(Bp#D-npe$T#n8Hz;An zd{wPdGpG6BW4@yH{%peEcUS)(d+z}j<+-(uj!|Q8NfZUdHZ~9l0xAN6CFocXMT$sK ziAWKoH>JcH1uUajP>KPm0v3>7)Celln>0ZY5fB6^Qbf+Z-T}pwoxQ*R`~K^k^Z#>s z?HvV%ci!?mYu)QEg0<@^nv=W658S0w5ULx5jXVtRZ`Oc`6{(U)+{q?$R6;04Hm2AP zpnm>eP(Sl!SC`vG+|-rWDa2#G1mYdSq6%I#zLwfv<9qn>Y z*rcgu@($5+_v}UI&rfgs6jAoz!Gk|vC6t-nozPYs1+}ISR#? z)l@Y3dV20Tp8&_~^Gr=U=+yrS$zq-aEaV(6$RO~BVRI;7;lt)Z_NQqL3@z{p(X{Dx z^AesM|3t7?j2p;Z1z1f4`!RIduxvTI?ZUPbgHsopdUG;o#8jL)a7%Lr!A={;X{?aH+7COegJN|1 zb<;nPONuGniy@bo9;XvBc%jDg#(0~-$pkG%0J=5u1VKxR$|?_zUmM1eYkMzN@aWwS zM^oS3P#md&aTu}D12+kfRV3tUD1aARVLkI&{`rxZ0-K3`DZfo=rCE#!@?J41w=p}+ z9K-ql-feea&BEnaG_ZH!zyCM+Y7$;S0xvk`p+nRTVExlP%k<0iRt*`tI5 z33u9L-y|^iTuzj|^sFeG26fEcHlwJ*z6>vSO3OoJAfep-*%Q~v*s-DF*uUPvbq~{? z_Zoin$G3M+=TU-LhK>L!Xgmc02{eyaNm`OxcHNMg{0{YS{t!E`R}TjL+&=cm1L@JS9c7 zV^uJyIe2s#_+8w9hKPiSC-Z+5+XE8~Y=&Gmfy$5xq}_!Mh*)m8dr8PdDcf-WCF^ma z(>U7)S37kJ8PwV3*fC|VpV93D)qaEH7{bnswUqut7(>o8^#RD^@M4>@$Py2EJN`K~ zZuL?j#B5MX0~hi_8edDT!{f5kxxMkgrR$X|D}ngnZVe=e0~?dSoPBeZF|(0iipj(R zGUEEX{qRRljsYK0nc^}Nx~v@64rC!$?~d&I}4usFV`Q8W>1uJ~6o*Ti8w$6o{6tf@8cWj-E0bZ8q)G|4&^PXi9rxah`Z%3Y;L zf%t21YP=p>qgup^7`RJXLL~=O1aL^Yla3XNRjK0p)r}Yr;#p`2z&3%y;;?85zUgPt zr4#?pHIBxt4y?oOmc+`v3yd3iP;!5Hd+jMbk^`1EWe0zh!z9*UyMJuU6+_bx5fKo0 zBbY#vRUB@(Hf$9lFs%WqRtP6l#;^+-njd$6_V+j40HDFc612OusEt{za4LPUsCWGS z4jnJ)u)d8CZ4<(uOYk4|_0=%gqx8M1vkxEw?Fsl!;FU*mpqcc8iI6a+XIo1IJ4nBI zmk7$SA~F9qbfR0da*>$WlKL3K-20{n$iBb!1P1;mhD?6E^jozzIXgzw3h)aI9oihw z-9e99vwG!29t(KXg1=w^%jeHMf<+&P_X9a_aH+&jLT-uD?6us8qz)|#o>_ZJkQ7}a zV;{xRP6+mR)PWCXvU?16w29|u|tUUfwK{pMeOY5IQqzk#hRR$KK3GC=gKCvTal0B9hpE|yfaU=XRP zO4GBn(1!~K7@3<%@1I8W>lx2zlo*P|Oxv@1=e4bj6(& zu|x?K+^9>a;0{PB>DY%JZWwb|_zOOhrmn`jiP{;-2Fvxs<=sbYac`3X;_O%oS#JYy zR3JNzt)|fDgl)*(vPF^A)%&RS`@TG>%UrXGBDSnMI7AFG@W2dPlBXQWUS^# zQect4stI%^%UwPtmUTjhyyOWMZKXKa0V&ByO6Hro56}%x|JCjhpXfD_m~f11IW)f9 z0Qhm%VF;)K(73GkZxNlvPbhk8_Y*1&_1W`z(ObfcW;dQ-04Lt5|FQ}df42(SGa~BL zSTCQ;8Q>g88CoEoYKv}+nND;&kf%sgVH!-b*1(wbE3C-YKFAaavMuMd(J9pqrE zy#D|w{Z>5yC@l$=+;#uR`t%l>e(yB%dGpmp3c0*=e0R}~{nN%wK7RBlW4WWHRXX>B z8|>O}DlzB9y5)zdW(JJ7K%e6Wf`4r6wBH~KBF_*4V91#bj!DrNZH8@4M7XXYl&aVd z^T6h?dHYO)>>n|we*%p%>{@n@t>5UoLI=uV<1=*5%jI&vTKO4JS~X-{9{N5T;Fg7k zDYV$5!rNNn9gn5b3yd8Jc{h`COX3m2O;Rl3?QLOw5|u&)Lg`zW`G;NItN@}Wr7GXm z`O6Zg4HW1%C>ql8SGJSo6;05|JcFc~P>lkD#+-#5wYzJ?T|(e9o8a+JGyd?KW{Rtc z>hPyp2Vf|-QOhPxEDPzi&@AHxDIKbEJw>I zWOZEJQ4g;lpv9$+NH6*h_*g_7-TyA{Y<1UjGv&F{9~_pN-?0~0Vo*y_Uk%0H^ru;^ zwvrnkBxY|IxG=2LK@i>lvU>A>hwVR4BFbWo!^gh*VZ|~*WsqwD`0>uireUDyyUzV< z$}R6(41b{Wa^dHgGW>~ZZq!+BDOXvR8RDmJf9Cb?pElYic=SVBEdJs2Zr8tLhVtH_ zO6|3_=I1lW5*mQa@YR12a6l?e&7=RIXmm(8fp?iqnWX)Ji8gCjJsL`73o3QE{b|_u z0$*N^3X;q)sHVecPuF-BNM1it;G}EhHROsa_MVv-Iv>O}RD}HAXa7aNqK?I@#nO!^ zLuBjR*_pL5Rs8?Szl2@YCSmiV)04PoCsq=Vo*M zvN0&o%pAIN7La5pdN+0XLLb~wHq>v*;4I6XZt=rJmby@Pbo>n~+-q)A~>l?ps2j1(t5gs9-gdw*+zBAhVNvF|# zS(ofo*KEpIg$L}9Pk{Vc?1&jC{H@oq3NC?RjcM7K%IDWXUQVjGI(qrB5k|^yvvH%n z898*tp@CdbFP~%a5{oh6JN@wG>vgQ;Uy&IbE2i=chJi6QDDp$gC$Nm`KR>ao&SjAC zy2ihMRnhJ9bJ6^|7dXdWLXwqJ7g|`cA$(mGEcE`pv*0Du!cfn$c!&$6o^*BD^v#A~ z+PJK!_m=UK4wv4}u0ESPVi>D^m#^y8iy@nhNp?lt3!}vS(Q3B$TapW>ztb_b$SU;A zKkSly$s#8>q_sbtwJXw86O=ywbD0MCll9IPH&#)&c$l5Sv1B)yF3Y~_S2^O-^AFe; zjBD#z^vJ!}L9cV8LuGxM`@1XKT9Qnjej0-d3rWKgGU_)+x@kg#b2Pv+ie}Yavrfh8 zbXqH-^AhbGaTw#??WkyZj{g%-IXk&q+#oq(ZiK0nSk_WM_si$hf)zyC^i-C%_1t*; z)Hm$1g6i{_c!}1YdD5Q_?0vrZ$p{*&)@-nm^AuK(mBo{=P6iUYd!<-UtHysx0IizFK2m?r=6NY*lnLQGV0n2SSX;$kr@MliHp2hv zxpUQbBN{rOcl*`^@kp++Umix+y?7XpgQO`?19U3pb7m9&jZJs}ng%`VJ}Yr0fh&4E z9Q&tGrE$-f;B7>uQe78zS1>gd@_v--x+jh+7Nn9jfC*s01&-;>c>*u^~q{FXR zD1j&aZ352zrIWzG|7OrnH4R|PIH{UfKTl2YH^m3Wj6&WA;yX%Z0dEuQ*M*oXL)~QH zszT}9z%VH$8ci0~t8GArrR|${5>#Yda{GGBl~HcX;ITlyKBkq)I%pElvSHpP0w+rv zUBaQJx@O8Z{}kuyI71(3v?G`rB$^`^d+^`TQWe5Mf^@YY)Y?}q9a0~3E%GSYP(jZT zx}^d~hNCKMuy+k|=zg~?S->^$c+1GtBw)Vez{2=ux47vUf@p*6L;fMEY0?%%4AMU> zKMz5zRam3`Hqup{LEkXq1(8wBY(Fp#DEf%HuVgmO)$)rzKCImAPKoLiD_9RN(k&Qd*B>0~m(1U-wG1}i@L0LaUp#--usbbnl_3Y0vNlbqo|JlB{!?c) z^%m^26OC8duL>Sjmh2=uYNpgB_~B<>l~Dy2LU}19{)h9YFh+8F^a?PYkDr@9KUxz%Ep1Jw@bh-1_U-MrNYnb&!XZDWFQ>A;Y9@{Q0(^KD3Vis|k z6L+C(w!;EbX@AX_i5ZPEx%^@yUrrNTbxJZt;iKcjML*8`#wxQpw$iM^QL?zFH(s|2 zx06*;M1zx#!*y6|hGXh%0!V_qoN;vssCfkAvMnxa{Z@EYC!INac2|@yZft}qKHAe) zRaNDtJ0fQrf6oD7-*Ji=54uMBnE|m~dUB=V_Sn_IN6FNVjB;RmClG0Id?LRa9yEXr zL`LuG?uO-y8d5Ygqn#rY-=8FtCQcr{O8LFgcA?GRf%=qyDct;gtdX_DbL#Ad=w0RfcM`vRNE^ z`Nsa-fYB3NhA*l5*7_V!CNF3tjw25k-Hg?Vl*#5TUfoGEIWAopdhoXDF;!RBhm*;|+tg1kdCbqlBe9PBjZr9L|=peKrUDIknxpU;gxPGul*CVr&lflSte9o4FKlfFaVf zu4j!MZdxO9rqXBXwLh+c3%&5$dvl};KWtke;CkVB>mbt_pUHpooK8@>gg(M9&hW9R-;-=(2brwfhL?r)1rAy_jxO+Y4Jw1(Z zniz9d*v@G6=-8I*QR+c8nR%AqwGS4y=?ltF@k_7AoK(6)K+gWA#a1(DQTU=y;lbc= z4>~y^neGUGPiJQ*HOgFTIOSuuu2-R~?iFGtx04P9C_ZI$RFN&|TR-V*K}T0k~pV14Th!-C=pqkCg0Arz}L z+3{E`_Ftm5H++$(sA+vc)luYcOrAbnXKxC~+x`^*rUN&QO6_|FLQSp^@??MBJ9UM3FLQ3B%-o974?nkKOADCZ6Kw_ zcf)7d9}DdEd9rtC&SHxd-vn0xCEz(fL%l@?j&U+`VuudDHsyC138R3{1xOKu`Cgpt zbo*Q2(G)vys}BLfFE_lS^IOPOn2o^|GM?F90fbswDJf=H?kXKmtPb;%7|1@AdLYnl zUq0#+jP{D{pRdtr2}=v};>!`F`@-8-tm*!!2y%TV)8aOghkj;M7oz+iRzfcxhNMot zZw!Cl)GqIt{jJ}gmj{QbB!HYpaUnDdgK-62F}t8)OZ{dR9Abm{ZoKD$;-$5~G9=QS z;DsdC{mWxl5my$nXo*D%tc=X#3UPqdiA4LBixsMdMRVf-tiO*Ae#Vd82cSo?$q zg@StLK+6dQ2NU;PnB76YTT<-@R(4y&FXIrf1xnnjC^>QQ&EQ{90v%Dc$y@H=TGt)Y z%+1b!#HTm+->1IqTLZ5pI9H;ofetxX~x%GuyjR^X8-bV=Hc#K_?=N0 zf~;r?WL9l=e0ypBLqTSgom63+zv=2!*WwpM$(? zpU?0&y`_mm?KZFMc3z^r@ndL1@Mb+f329t)E=`5)o;$3i@Ve;TIm6M)S;mXJxo_3M z+JArVP}jbPxYTRNp1z$N#eIZY`H?OrQ}rCtwP-mV7VQVXc5NhP?f{*9r&VVyQ{ z=IwS)1J@j8FTcUbcX|XH*y9)G=CcKLk7j?%Qp0mEx&>2na--+uks~j< z=%ssyN%{>N@3;Le!Upl+ON>t@`#U@*7$cWuUcPoc7J@wz7ISKA&sW|xy>dnJ8?95J z+3RKC!=I6ieqAX6E0l*&O8s)6p7oPw7%tk>s~bBN%nf3mvAtc2=z0k_O?Q=TDPdK8 zleN}wF2z`6?srD!#cayC!0@k0dDOgn(^s*)wDI&}H`#gcG5t72nUI{?ENiT2X6Dk$ zeLoxuU12Stm>(LSLZm089~d_t*tNorBi0jl^4$|mXxzh6krSsK$y)>OKQw-0b&|C? zb?;Et3EbatbeEEkAeZQRu%cIMpk!!&N(2m&eG_{i>%bNSgalC54pCmg?BxdFMD^m{ zdhtY7iXUSN)NZt@lF4UAomr@v9lS0w&rD}=>dRsxbF(0&MwD&16OlD-v6t0PPQj*( zQjl~h`JG-r@7-H`iMJG*!-SS1OUMh6#)XuyAl8GQ(aP)E8*aYu+x-u4+;qkgnr|%P zIM#;*)xY&cv5ko&Cl4;oCKR9$vi0y4i9Ld@^Ui@UfT*YPWu5U*P7;NDd~!}ObqO?L zC7vc~u8d^0l(%-!6^5t|ZSGs6q{RQQ6hq95PWgFxY(ktVQ6TB%jzv?*5|*3g(qf_3 zT)}L`a`xs)FL}!hMjTKQUq$+uMG}NpVm(5XAf%lL2iaE*4Lc%jSU!hn(XKu?j8))% zXrk-9TbMf$c?j2@8-U`0vR|rZg&SIfH6l?84vATKFGxlC@1dYxVx-G*2JynIeAF#? zaN{BrJ`b_)3eFKnpPwP+9CL%4$*~1ABbUR}AR&xtLT2k)5R)S}C7CeS< z3v!9N8+%ZU-1t1Iqk#4o9hmMqAIpj1Wt3FwC~6Cg8J$lt$Y=ELGmWV*NX)8O`P>6X ztfYatFj*sddU|pLC^j3LhOLYzUyce@+t@t?j|A+6=IiR8wFFIE^ifP+A+6;5(;G8E{qe|k6r3lgqAn?o+Duz@^l>@<*so7d$K z6*uRbrkwNdj-o_0!D7zMnsK@pF0s<5(nHB=0PE76x`Stp;qx=DTZeV0y1!IpMYN2a z#qwx^2j*g-a(+-X@nG;z2(+3jCwH|h#v&I<>*O0oDq!5a@hD8mw1)}i1BZ*3O}^n39)fZXYU|jSvP>VL?4gwuaPCVWx;@kf47|&=)`#$%WOJT>G2c2Sy($ z&kK+K2IBf^nJ&M94?#Bb#bk&HH$`Gp7f^SEvH#>LQ;e}YrA;=c9QY>8MhrT`f2qed z(TsM-2wG}*%M_ALBg!Od$rZXDZ?>*4SV)cnL`MU~hs;zE#P0Az|7f?#bCIT=&2 zlmMG@lz99oFhRR)hhb&|KEnI!L{=y%}8rkfF$d z4#fwNc;Ra*<$mz$kSuA^*(W?f&z|uW+ zXkcK%a=nP_H1L(Gngt_2Bhvr(M|fu}2En1`cEF)nif$`cj%4xYl3^+?a2P;gj1DdB zmIEIggNb6svgBo`c@y%_vVl-OdQ=CW2Rkiy9OK}lat%JdVd zKUIwfir@bdUyI}If2C&77W!}OH=_7p%zJq+$c!Q+j->?vRSwiO*s6e zx|NVM<5LpALDu^qx=>gh{S^(;^6*G_Q_=H9kPjx46cR&L#89jgLjoZ3jpwb;-hn7V za2|!kBW_KFSiRWC&h|X)q;y5J7xW;Vgf>l0Lx*viqP%)~jNMK_v|^0Bq1}ROVWl0f zs}Ihqsr%zcj|`h{t*G@09T4J7sztzVga(4kF&cUxi3VZxyc3#0lBVJWk>nCEf=-ot?9$44HJQPr85G#(t zbi*_vi}pLW3eck-Y@uVDphKG>c9iP2Zq(xh>7mM?#2iu>OTHr+6`Tms>*z-B0b-bo zeY%a}*TAyLLBJAJyPA79;yx&)xMFNMxQA#%pfFElX&5)UV5~y?UTy&lItYg<96h65 zW{S~1z+x~zNk9(#q@ZG$&F`R+h@mOKy1x#d#74K7(_lXjD~A`rm7~r8OZexjA3S)_ z`oXxRl#@oWP$0Lo0c!#EAVgQ=ve~nnD^cGYMHh$pe6+_qMq|UPuEl19I|E94P2h7x zGs902HR|Na(eh}C=}x3*UC|~wH$e%W#AFAaf;s*Iu+BkX>rPkrbPe>Qiw;PbV?s*N zlQTOyapGZK!rH!Q3SqC5K!USQClU@6ZyIAN)d^Vqcm=R`X;){bAvmoF-;EAvwPPm; zk0iDZE&`WYpc|#{y9M2(j-ta+1XxPWnIwLrj+yW&*m4J>1ZjZlCmE(->JWr(PufU~ zj~*rh9Z{S56Ha1pihtm~dSA&rk=JP>-2M?Ew~{AUqA;RIyndU#1H2yE5sCJOvWtN; zG`N32Edx`2bw^~XlM4o(FS@nJw_Sv>*2ndB|HOooJG_5oY=O)JYJiCmhw=`fs8jTz z96U7Q{!{7TXrZBm$of0503ts=7z2n_gQ#sY^-BC2++x7V-BGqT4$=nsN)W39ga=`G6~ei zCX3+Cg9?VEIn}ikkf`O0(&)LN0s!Q~lPkGW1Ux33HMYcu4@WQ_7X;(^T_c1CGY_9Ddy`cLA5YcnFi-tMuzm4D4*5izT zR8H%>m#V}%E=7K$)ToD19ZI|P&%FYJi0GJONlWr83P1`frBAQU9J12c!D7S`T`3N!8NVAqIkDs)=|;{a`aUy7M(^a^x4SHEJ4 zkucm)HNvwO?ZXrhi@Jxe3`3PynLKnym*;a};%z-` z?Q(_iC&S4qz`GYyGk%1M+UtM6cC~q4GJGGWwIE4Kl zoe5aQ9_2MhlooCw*S&xMEXm>{fpXE2v67M^5qZ$`lbzT3`12PpQYa{SZ(%;31-ZN<9fF0(e6+KK7C#s1XX-d?!pqR#8vn*qtts2ekau*5{|xVX6X<;SSh zs_I3_WoS8nvyW71dmMKO0&TKZfZ!Qf3_;=Za4ZLPdVSp*9vZ9-+|#E|qw6x!wgnm9 zO)DtOs7h?(mEwsYUz#>+;;r_*fAyG-hwYsr5Ny0MxL(R6dK2IL!amIa2}D{wF%Cb# zJsz6ALvS^nrdU^M5H+GF>c^BdyzNV|t1Adl3yZhY17R~C?6^7uII`nyqs&B&2`<9f=jg*v;DOvFC z_HcEASK@0f?2t0AQiLbRvi9)ho@IUHkd&KTP!12p zW?;RwmCfXXr_iR3x{T>5>&H2?2bTk+_2|GF{Py;K2ZuN?$Ha}CaIO*Im(RnKqJ751ot@{0)dHwNwLY@*qnCkb%74c z1vk7p2A6Za`#y?^ixWeQ9fF65d^lwD!w`Rxpe=@nCBZ`Od*GDYhLMIbH^On{#!bms zJ2yPai+1zo64P3-+7J8Q;|fHi!))t}^`|3lVc(C%$RWIS*iSm2KAbEbqnc8{2AGSo zOu`wz%ub8Q;U*DrN_kzYR10NKf6{;{4wKSx5!Rt4%ZA{Q^PM{1+juLSzA4LxOUimw z;>D%-joNb9BFcv&NQ0~q&|q`8^EP?C$|}&Nu-{Plar0jUJzJSZQZ22R&|SSiNk)b) zI0@0uPkbbUU|>`pXG}9gr-a}^yRuInpM!OkS)^$R57X;ipVuW0y_ZW0d`CmuX<@(^ z?Dhs-J@5~)FnIW0gyVR4&Kyo%T^+gI$lM8}slN*53U5|#{dK#=nv=c+~(@5mb&EgYzsyz|wV&2dR zaw_4MtkAEbrl-(gE}4qe2VOC=tp9$>6oZX5J1}3O=tPl6S24}RG{i=Eliflw?FH<| zm!6NO>y&R&(=?0~H5OZNE=87Ouh~i}9O}gpaI*zDb}HMqU#1XGa)Ra(IZ)sDZm7nY zqKnv*Q4Y~ukHe+i9s8^jvgG{%t^|P7Qis@s9H28M?nc;6z}SK3^>26}gBGfZVMjw< zt%vzWB4C71&BqmpBu{ZPG}D6_PaP8eV3wx=3L;i%Z4)!fG{eQF8DlT(oW0hbh_$W?t*jkavRw z9}Of6!l5@ zbOlR7oTMn!YuKzSLiG0SyFs&C?9c1DSS&02+F?wy7FNb-cO1$42`a`gtrV2SqT6q; z!H_K<3ch)qZltJP_4zP|LuwmfPHkAP!mtQKv6RNqQo#xkVmp2 zp|I_^R`p1zqSSBnD}=*fBcnQ<<~);Obp$xse5?>6=nqTu7fvgKdCC#eS7DSge9< zScCrNL-(5C__gQ4QM&d2^obI~KF7>b7@#PrgDCWYfa4sjN!ghzhTsDIXJ^fXdN^ooigbTnP zj`}kO^oQ>Z>e^YH+DM^BSfyHBM{c8*-wo0(NI)Wyz>h1gqF|k+lzUD(C8c*yi6i2td#IRtQ_kb zKsj7LBw&O@k0~dQnj2u32c$bF7vR&ozE9bm4sfo>vHZbgx< zONrff6|s{C*p(>^A=@_PaUb#}X;1+?F zNX2yU_>Pep*~7NhKoSiN;gZbU3rmv-v@yU#0ZOW4>@N*FSKPC~=*60p;ZI_J4c&<$ zZSg2rY8o2CaE$WJsY7W$Pf(@))OB7uCO`u(-BYqhXj`M-~VWvusUdSUsaQoR+M`9jnU)H zg6`~fQ`@r3&ThHujuvM{omHz!AEzHbCoHO?KRxAU_Afy@cO0F+Q#O1W?>)9xcn=%` zBwACLMS%AYf5NZ^zOUJ`9~`59NEH0<{E=u&yKh)plY>mNy68DBFcUX~H;kL!P< z#kEP#@twSvq16A_N5{H5@LT>zPjKy%Y;V~h8t>9(L+RusxCNCB zdg6_dWD<|WHi7+jO5l2+4W5Ebk`H|QU=u`O5XRupX>19XVWh^qcU4ri+^~{TkyAd_ zh+}J?!y%xN;*n7;kcl<%GWxS;d$E_R!x;+P8HwkRp$7m7_DII`iiLzbax~(W8 z+Mns4o~D3s=m$n!7~sw2pu~Y|@~-GkP*TFC(O)lOv7AM_4X-OvQ}ZMr*)}k>ZIWTAxw-> z68}*d9kc@SF-L?9N*U#`gNnzD8RKD#vO_x}9l7g^i zi-J${hxbPWGmm|sH5;$0X?TCoMdB_%E6wyazH$y*sm~^XDe(yGlWyF2Y8YdbpH{Ox zR4j6N)*=c1`^M1=mOZl>GCFh4k2k{;R2An`S4O?)EW0*W1|%tBrh-&US!CP*SXX-p z%4`KaVG9(gI{*G-=vr%zJE8itLJ_(XKUDkZ*=Y<;6*ft<@T{SrHKwRAc%!$$XNU2v zM2W$EoSvTkt3DVZ5g6@GH4SS|4=c|6&VSZh+v8b2;c>qnd;OwXUv1~k9TNvG6_c$7o!8f8> z_rKWFxzu#oCtJf&XmB_5kA&a1wB!QDv%$?JGIORPDn7b>Y`|9_EELUYJ__7wssGBl z;uBONUb0D9c}d`jD*#VbC4xhtLNo%6lAEO$9*_2gla<}T@JnpeyiY}-##Sn0{90@6 zL4aWDDw3AB0bepEV@||%(g{N;4EoV}t}ZhFf@;UDC-ZL@Ch^#sK(h%Oqci|mIG_&c@6@S(g8&CaRb1In-+;ot%91) z(2NK7@4Me6+XPm2Gk7V4+HnJ5c}R@J!ftEy&uC)LT7TMo29(NYe^|a+`j;;t|9tc3 z%~NmCA25M!l{x^htYR@>H@gyW5>6?V8QkHJ->ymG1#j<0%Y#4)bCb=lhh1iVH|%c$ z!Bz_e@TSan<6|Ty1Wye$l4e4qnZ95Fb%jKJJT(L4NAyE;IYe8`Up%nF`-GH?Sp`H^ zDIsDNk>1=pj=ogEYKP#r2}x|0ED0h zg}_`6x)N0k&OG#CjsTQ?Zr#TMF}2I&ve7IAp=(h?WQrK$2u68HdteeHRf>Kv^sm4MmCO!S3!9Xq)l1_L~ zza|a_B^(ZDjYN6*S%eldluvW%K~X@d|ec2xhFi zaJc0FHHnZmL;If_Q3_Lhe%Lg%D4*0&FBOm$%Gvfz{l%z6BiZ&qaAKRHOYXphe&M3w_2)6_?cmlv+RNGnOBhXAFa() zRK~f^m|vMR?#1JMfpVMkx_(=a1&+<2YJl7=4#GGG)j9jI{gm9{e>@6z6#iHqxdBXb zfDqTPc8g_##IJ0}G>Ts2=gH>TTf39MAJK^ z%fD4n19g@WM&s1jP|OV?+Sg!!1{7Qs zMGqxp!_fQN=^5G47;)HyQJoy_*LYFO~flDy$e(D+?U&;0O za?7U%@pX(N(4})SwKRa>y%hbg%^WuHm;YXVQ-o&%VQhF(QKVbxx)=^Z33A@{GpYDD zsT@!!X&gWN+q*V)!qTD4S$G!p(<}yD$a~cgr*boF|BI{}!&l&)3J3wfOVNLnVS@k~dvj5C%W0*|zuk`xw z1u2T3Q~=S$E9WX8 zC~C?*tG~o9NOjX!pHCd1D7{6_Z-N6CXv?M#SwotX>1}k~NA;((;xAugS+yMtt1*D| z1GJ2I!^W*}(g9%??MxupJIa77uoOqy+(4=j39aFI^~Jjko)cb6Oub-%v9-2)V4=n@ z@C%8Jp4o;(>+LiP12zem1mb4mF%adDMluMuK4z?My5tH8nUK;HRNVUhJ+*FVs23nO z4;kd4HoXH&H+`=22V*>hT3|mUvdL^lYC%c?nzv>| z#=YhzbBvVU#{F>W`i=56#FN^%w+^E6W#Vv%lMNbn+HFvhC>n>Le}ZmmGAEJa#|WX>E|$XI>NKMg*9Lj^9NP)VJNZ#xpcbF|1Cq6mj^R@m zpvWH#-qvx^W@3n;8Gf2+TyU!Jl8Q#dLy{WOLa>d>V=efl3{}FNYT>m3#GxL3DqFx? zXH(USGV2`sb5j8mp}%S>@ScX_Gj%6o_;3-vldyl8uWVgnM}&Zicg{h_g&fx*ON|=< zzr?8-z{i>_Kccvv%K;2UHk`UkDP)NEa($hHrU4oWfyPj~5habbAi->;88gkkwbIem zz0HL6#HHfUfHhK^))7~y&>Vuke{P71BM%#dv^L};nSX>aA zzOzGs9Rj28?tSMHxllE5Y6ha#egipS2U;(h661=sqX#iW^9#u69ID>jVpP32!{>t3 z8&1y`ArJ(s`Jux)m1mEPv%{i4oU3S3QFLv186k^3W_x(V2kEBY2Y&yL zF}TUpl6JhNk&5uQYDh*3A$w066r%5>P+{CwPmH>w0n$J}7hhz9ri;HZv=^a4Jj_Kj zIbdq6)QT1A*uDx&?$mDEZUjVMsQP|oru#Rg-A|084NFSpvH2d%Uv4|WByz2Rw&@eo zQy+%be>e5n1=&Zu6S2_`9WS~vr5=>Bwk39G9;ugL8==GJmo`41-|7g=FDNxNRV$s3 zuTOJX9sIX*muzr978+a?5H@X_dTCco^WwFqN~{;e+-y2!w)?ed*3-ED(|pFOmsyv(IEVZ8)>D`Eahc%nc0nAOEUqI_mo@0Kx4rUdm)xl}EKp_Bf#bpC6 z%QCt=c=b4r3rk!^jIEfUYx(z&=8$+Rw0#FU?@zeRHZWbA4fqXz=(uGS9wq*vOx8L$ z_^C4vFTa(S&=kLcn3RN8_F{rrgvuKoS^NeKZHuG(mRzBHSair6xai>8$|^q<8GZbZ zisY|XSRk2T6H-G6xG-d3hP%*Zp_4)vLUU&KX_8U| zul!*ouw&($LlE_;6Qk{LnpU_vwiYN_1Mf8qUQ7db+hCS7@G{i;?;PCpS1a~jZ~-u` zh_}H8N1|2GUngT1f{5K13yRlrn@|#~PDk2OG`U94pHDgn8W|!<2e=Z=F<=E&z!dDv zfo3aGtx`36A8=G`^xRAXE5}~gPhtI31x10x3%De2PKrbXFZs8zR2ilqE}%Cc-7=a| z5{iSx6%Td*5jl}IVhqw^X`EFM=&&|02p~cTq)}=1&`nYr;ZK*qekLT5xL+XPM8S@? z=Jji1AP;b}-2$t^L6G7UAM!U+nE+Q&5Jx0Vu7rv|Z@){=4jq@?cI>uii0wffPpGLc zvOyQuqV$oIw~(}PJuq-RW2_C_-ebC~I&9czdIMyLe5g5jaIx|9_0?9Hr`8 zQJ&&AfRUYN1NPd4&k}a45~ei>(o^6t^kEov>6d&pQ@QoGGnM8=%&k(t3vD(7i$-_c z(Od+T(-C&ajT_8{{1@fH-(il&c?UR_r-+V+D#v3L#}veyTrp8mPd4Ri*_*-@SS+2` zYuxi!u7rUhQEl`269(~`o#tWa?IQ2ETHXVh)+`Ec$Mcu~`5z`tdSQ7Gp)u|quw8&h z`DWFJyqn(VIMZG7ZvmAI*Nn|U(WDBRESp1nzb~H7c=t&VokfM6lI&k+s~loi6Pj_B zG|x;NJYZdkQgE`B67aN&Rd@FE2$){UG>D%%E;qFBy58|u)Q~9T6g(?pW#2zA1?_}1 z({^}N0jSC$T{Z5m^~?J{dIL(FmO+a>Ba%%Eg-8}fN314F_j~su+&1%JFk zgcTqaFft|<%lrfuJrtr*cJFiN!zi!uj#u?k!fJh+lR0s}l`Jf1f7 z8a7{c=S!GXDkT^z-1*(`*OMpHM5?ea0&HTX$~Jf5NUQiSCgK02a=?)y?S=o;0&IxD z<3d3sE$miz(#?j_Lpx1W>{E-G7mEE$Vl>Z23njp9R|DZc7|Af<)@Aq zez%oeBCh&7y^vWQ9m4FR1DJ0u(^{LKCD|t4n%^!5v~CkDM9L2@^bs`Z?+x^Pu`{9P zw2?CDbNGeXt9k1Sd+yvivJix}fL#Z5VIllfkR9{NQhN{_zNd0vJEeq;{#rA&mFX6P zgJ9p$0CDmeFc#RPEf!B~K7`srr}h~}vzR-q=K=}~1mlRm2jG>6hzKO8(48@!_&5@u z{^tTXN*(w!Y9K7L>rTlw<-m~2Bf+#@ADsm^;LxFODB;a4MpjfDQA>=+4GLV4v87CT zl|j{ZtvFe#M>aR(bJT&r!3{u3vdMe78X6UwQ)4DfSQ>cl%0Ix%Sj*OPk+c+qUS^vc z09w2uZsj|?&w3mkV40yWl=MWfYLGTV8w0dX!r2*GIjU=ME)Xn{lvdmMds-UU%n?PG z1{xW;5j=zs4^(Na?3=AHiCF-v5|YV7#s`A5I25*3RXfqI(MX6SYHNRIeml$OFtc<_ zC#U1fmrD#=AgYJP=4zAR`-1)hl+^rx6?@~qKw%)lM;|FWyl{zVKu~6uunGG?Sajq+ zHr4|eBTkoJ$fbyxZ3&gV%Akft-to;e$jADRqWX24BX~~`Y>>tZ#5ZHi+XKm7nfJ;$ zzfo->85W?f(%h@??{0Tjjr0fJfh8rKFSq&)yh;$v60A{)4QL_qJGnmq;0A}B24s|R zg|CynIml+~xWt42^_U5H;JuBZap1y{L?tA;8Qhe;oxrFTX8I&kyjhg|~=P9Dm^z=g6B(G}F=nKUn1`p52-@dNoh5?eUv=tsox9iieZ$j5O# z_Xh!iu&{{uCwuy+U2TLFM#5XrykWKvw<%!QoA?NhVqShSu}L$@^%Dwi3V1q4R}YY%=(YDCPGBUI^uX9;>a$rzfS?*A*xHmV z{flY7`b6>(A)e~G>qk?>^jZQBvGLC_m>(gAv{?_HNy(){z*6H~o-v z|B}NMNh>qnJF&`DCZg5Mhxx-C4vD{hm_FTUOLdrXiaM|o(9()aW4;Wlcg4tBckFAK z`!Mx-OUo@`KwjWv1U*@wkdWUpmG6_8;W9}xtHc>97gJO3mapV(B|E>#)SCEbp8>w< z{`Fsayq+loJzm{zscksTHaf+{4S4K^)9jX6wdEl4oRLd zF$is!frD1=3OKwowFGo8TQM608fLI)z?nd&5-p#HZK3nP;)f3p3zX=Yw0ZmY7N~A6 zEK$H#2i^-e0NRRT3T~mcZ&7x?i9q#$i9r9bnRoW2Mx4G z-H4;19t*|wTn^$yRZ*>N6!`Kag*g0-VIS$>Ngs-;6LPS~7MT@*7^yIE`ttb#U)>sh z&Glc-`e+33;aA@NK&NlhW9#A9Ft9}HaYxrFoY_LKHsx2f56o`yO^T|w;+b8v|Ag~O zBi>*Bzph!1>sRb5W*9_k{T!`T?yV%fVuiK>J>;nec-VK<5ljn5VuTiEdzc6OS3FgUx^2&OD`y?94UboA)=L7mKdiB4t8 zhz%5vNYNpX6F34o)9Hx*2acXLB6U)&{=|d)P5j-BlIjt$JgQ@}BU6Wp-9vq|8E>Dg z>+~-H=*3QB?E^7OSbl!Tnh}|a*XJnW5x03h$@&+Vlfk#hefCrG z$OFgAroMoKx{R{e@H9j_wi|<^1ZT;t{-?>ccGq_n*wwzZhtC)a_krT1qYq z9O62whihF2h$f8nfNEywrO}tp;Sd522yavWb7e2YoJPJEP@Itg9PG=~z)+qs!`IPc z2k3tcv5@(0^Tge{v_nx+r#->aO#y6~Tw`_V)i-BRdJ{}&`?pbJ@dpr7o^{Y#9fu{9BMY^Y-#%igH z44;+i8Ty6#)gdY>DqX5Z8BMF7HIDa|-*J#55zwmPJmNE&n)1qC^zqS@=`8y@X`KhL zX=ivVVL>pVM}L9^?|E)$8kuSxx+1a`wItjLZ$$66XgPiK9Mi!mtybG6r8^|(cHZ;g z78dLIFTCT7eM_{16X2g^8qNTD3KmvGp4!-7IQ8EWn{Ghar6emWTehc?(w8fMZZPrZ z_^3W7n6m$SHyZt0e%ihRXrx$A;PvYq?)?W3D9`1O--#YaWAK#!mR|pqpHrRYA-Si& zQM$~)KvIXlp51p{D@J!unSyLWg<#Sb=)tRwq?vns)s=a zL}R25k3BN}0aerxP!goukv56{Q0MREL6(VSkTeCu`j7M;Jc zTpXhhP;DuE26z>*GT<%;Q4*Ak>k$>6gLOrIc7Gec2ox7o=0>0#3q$z}VNoEwKS{y` zkco6A)Td)AL$fvLWKILmBDWuRyJdnXn}6AIWSWd6!x@HI!NNInR*PsvY(v4V9;q7+ zn=AfEb7{h7s^UnT|Mclo#}6@D;b=gSkG=75vC%-cYNc6mYb!b!%)X{R^dtQ$%n-sO zQa(A79UpFme6qN}7;poZv`z4ik$Lzm%IF;AjB_~%M$(El_9WRoFm{qIqmroybig+1 zdSCMdYt98Gx(PP~y`<*G{BWeBsUi$gmGxW#GQnvqe6}CtPD+Ah*Fj~s4Rf?x`v4Jw zEbDOF{Kb7^edMx`4-aQ6*gF6-!`dYn;K_aj2JTQV1omX7r;8r%Wq!r?78&O)0Prs< zg_b@f+82tqUnk8W$AbYBj_4S8dO#k8)Wx`90bEcEmpM0A-2>2f5j88hqsn(Y(@*0u z08<}Im{>g6eGA!uO9C?~9)p#0JMQ{SDZ`wZD7+e=#-Sg~NX9hD@ZyCF>$woP=qIWd z4?T?_3(UP10VWWJ)Q_Ui)aa=yI1O$N=0M=Z+6BGLA!Y@zY_)PP2^D{gJ&=#h22jMxwYx% z)(q$prq8dC#h#5723zD69QrmrY_y0>IKzg^=w^_$&$2-^7jTM)@xo#y3_@}vh<%K2 zH@A4IX?}J=JaarxGoyxI!{#Y6Yu3F^2h1{*5^gr9f6oHX)oNNl6vHDJSS+i>dse>rPvJg8Ap(0-Bz`^tg+WZSk&VIyg82{){=Yx00Act3id#ns7p^d%qCwrrJnm%$Bb2N96;Y0-0(_cvHef6Kpd!)H1*?L zZW~-*NvFuQhM3zJBU(_qEM>(0osKK;_1!}`XfN7-|9k z-~=qJ8^bkkt-@TM8vw3p2y8tIUw+jiL5o7RCQC?JkpugjR+N(Q)*-;;+I)FlO2`Y%wq}@PBxR*#Io!tsbck!g7X(_4A_e{g4;`hT5zD z^#@uJQycTX^#70cuBr<|dadZimD1m$(6mhe9iab{n~@V!&d!yMy%3W9Ffk{sBBUVr zc3#AxL%UC|;(d={3zbIvi~PbP@h*dSQXg)1IR2bgcw0-9sl@T!IWMU`)V}?>`RV^H z1@{k5IN1N+IQ9PjN1XbASDm6Je1?$XEjx42!86c?uFk?mep2|VeuZjQ%T)Ki|)jYPR z7L2McRt>1U_EZuftP$QWQflk*R$>+dS9s0JH{ZdvM4*vIk8cGS+7Sww*T1(gB3qW| z_t_KUhapaWg+d@r8+*EW)5fBoWgNa|3L;2CLnZW;S#n_N$V6r^tlH@SV>TW6d?@fk zuX5i!v;t`--EjV4bI5lP#sF%a{|ULS zP85L{%`B`e=Ei-H#kVnk%nh=#pTo;%UMqRuG*B!_NvEA8V;V}4Y$A-|{ zA>&s3Zs6yk{N-N>VH>QO;ECC!)q`0dO_S2DQoqvl`6eDS{F>74m@*1MCAA%hPN-%{ zB#tmRS}SO%BKs45Wd6XXvFs<{(sS2rsm^rW^xt?kNYT&xPn_Be8kV`1Kqv^rEJD`_ zu5=-2^Q0}56kEyVt0+=05)CqG=EQnR8*NQt35P-Blc!Iq6@y6%oY%u)ykGr!?^R+CUC7h8TjJnIKg`^AJk(8Vq)*Xl>Be(|>FC%r06kGtPTS(Jgja$Ol=6 z_avqd0w#xLgh+NEnUNhZMwmpSd{SANQq*ElGUIkQ?wm_}!)N)8NAkFx-DuackEEmm zC$*ul_+P341J_M<9i{zr#T=jq6Xe^@z?RQjSK(miO>&MxyVF2Ug|OsOGjUIQ_U`68 zV+XGTvZn6(oV%*;VlZGLDbJECnRV^>91Gy&fK3HucmcxYeiMm^{jJpg&f5tk>R88~ z!g^HYI1?C4?kQjuW$vkjTiWY&qYS4Ikf|%}Gyr6Z_rYk2hIxhXEJIM6A;gqq)r!V( z@^{~DeJ65#i2W(IlD$|r*8-y@G{D-~R|2E}${RuN2uJ}=G?C;C!c0Av?$?c;>T#=b zS7qUQsSmcoI^E0(-T;9yfKw9xK~h1}Y%+I&h|{|5%@(?@uz4bgfT+GO_QNQoeCqxS zy|c=Manp2d2fgG$1&3u|+nTwQaZn=^0OIGoiaJ*2O9UX2gQ5Gmom_3@usaYE%0m#! zXqYKi!N>vB&;DHv_3>snp&9ay77#=y3-hmk7MLT`sUm(1WZ!=jatMow^Ap z8ez~f$WwxR4pe=4S7v+pE${Ugofkc}t*^kL5&sK2<`Ycvi5hfs*8|w}z&!_+4dSp4 z!dIap&eAma@_8`j-f4iLP1*@pujHzs&tLxystbs3iMV#`&C>V%)+}7|I{f|j-_thm zyOv4)?Arp?gMe>1F~_3Mz2z2!s)@+=w&kPW*$M`Nk5fm9u@k?3%7f&vJ?6ExrBlMM@pMto>bq)qQdtonU?Y8CenIKIh z3_x8x96o4DO{ohqln<(OfS5@=B-1R9RIYq|gTjTMW!s%81`L(}W+}b4{wiCqgx*OaXk~Hsr!%HlUQ;EbXid9} zM`;}wLiI>ej$V?i#mOU#rLR>tXxn!~BX|CB83vVC}O1 zcJwOOF?arJ7O^1#((enD`q&*ytRY&QUTd)!#J~X?v zf1#2aim_4j0z?|17Grbp+>-~GGu*N2;7X8>HMJdPow=8qsz4beX>@YeYXQ5!vD(~Y zSARS=2;UFW-D7&Eggvc|!lM=Aw+)vF9Cg^nZqWyNaEgTWNG|l1MN=Mg52p0yNe1ie^R)Gr3u+6|)0qKv9tOoUWg|1$|f{0wX4eonLd4GAFI5YDjp!j(NPkM6=PxM~{Ox#(D2 zmUcAhs(7%9Fr6rX@PWUF^iF^oxJ+6Uc(xXj2BTtqiS~V0bCFn&y3Qim3{NUw{YY~T#k<3ug@QiM{@IA}Q4d9r#bITY`ZO}C4NJx=_t55(3^iXoGK=qeT zexvRo@sUREz2ket3Tn2-^dDFpeGZHP$RzBHb@IBd{*;Cg-@%tPXXO9W+_}Cq8HQop z;h`|=OQyEWh^#chGF_%AqSc3?%|bTv^{o@;6-tHTLwA69I#hIL znI>2B{Ka8&%&p=ZON?ZSuBdZZ6eMUNV<0ayKU*TvhCcgI08*|u$cOBQDO%0*cxE|S zYp>lOo$IPz2+Lb&jwLpKRX}k$s2srhSgcLRII4A(!Ch!~xj6=p<2r(Yj7aV|lO8Es z738VXjKU>~q;{_Rcyd1E5jC(~V6giQ+C2{M$sW(--dXlY7)g6Yf+)_iHOV~pFz^+xMhePLg zeckT_7fu4$LzKHB-PHC5++`GEb*b-}lAS_lN+!P5ur9%1>(d;z_@W9xDSU*3fPlW8 znyJCfD*&zbT&%8Os)?~olVKXlj@C6vgN6Gb@}&SI*pTeGbdn`A50QQ+UpD&0@NusA zY+-p*9BzT*Up(T4hDJW&9_$7PX8Q@~PpnskC#N$Qb2S(o9Jxg3$KR4LUxdVIOv||g ztyd@IPTocbf&_wkBDfF+M%6dOka`PW09m3e z5P{w6dq<(7YXSMP4lIc_h}h#xHZOM_PAgNZ)zbmnk7TXC?fTekkl??%I}iT{oe?^1 z5eS~$(621KIQ3>+GN6vzTM?GEuwE6yEIoPMRkGn-5KRu)@Ot6PKoL-dy3&hA6~1|r%TrVn#fQb}) Date: Fri, 26 Apr 2024 11:53:40 +0300 Subject: [PATCH 46/98] Update student.ipynb --- student.ipynb | 88 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 88 insertions(+) diff --git a/student.ipynb b/student.ipynb index 748ff986..d2cc2a6e 100644 --- a/student.ipynb +++ b/student.ipynb @@ -2700,6 +2700,94 @@ "# Display the plot\n", "plt.show()\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Reviewing Correlations and Addressing Multicollinearity\n", + "\n", + "Our goal is to identify the variables most strongly correlated with price, as they are promising candidates for inclusion in our model. However, one assumption of a multiple linear regression model is the absence of multicollinearity among explanatory variables. Below, we generate a correlation matrix of price and continuous variables in the dataset to visualize these correlations." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Explore Correlations\n", + "\n", + "To gain insight into which features of these homes contribute to higher sale prices, let's examine some correlations." + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Most Positively Correlated Column: grade\n", + "Maximum Correlation Value: 0.6515434324583883\n" + ] + } + ], + "source": [ + "# list of correlations with SalePrice, sorted from smallest\n", + "# to largest\n", + "correlation_series = df.corr()['price'].sort_values()\n", + "# Select second to last correlation, since the highest (last)\n", + "# correlation will be SalePrice correlating 100% with itself\n", + "max_corr_value = correlation_series.iloc[-2]\n", + "max_corr_column = correlation_series.index[-2]\n", + "print(\"Most Positively Correlated Column:\", max_corr_column)\n", + "print(\"Maximum Correlation Value:\", max_corr_value)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Second Most Positively Correlated Column: sqft_living\n", + "Maximum Correlation Value: 0.6472777070874484\n" + ] + } + ], + "source": [ + "correlation_series = df.corr()['price'].sort_values()\n", + "max_corr_value = correlation_series.iloc[-3]\n", + "max_corr_column = correlation_series.index[-3]\n", + "print(\"Second Most Positively Correlated Column:\", max_corr_column)\n", + "print(\"Maximum Correlation Value:\", max_corr_value)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Third Most Positively Correlated Column: bathrooms\n", + "Maximum Correlation Value: 0.4696317325722415\n" + ] + } + ], + "source": [ + "correlation_series = df.corr()['price'].sort_values()\n", + "max_corr_value = correlation_series.iloc[-4]\n", + "max_corr_column = correlation_series.index[-4]\n", + "print(\"Third Most Positively Correlated Column:\", max_corr_column)\n", + "print(\"Maximum Correlation Value:\", max_corr_value)" + ] } ], "metadata": { From 9b9c694dea0e8602765e606fec340e56c15bfe73 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:03:44 +0300 Subject: [PATCH 47/98] Update student.ipynb --- student.ipynb | 313 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 313 insertions(+) diff --git a/student.ipynb b/student.ipynb index d2cc2a6e..cfde3c30 100644 --- a/student.ipynb +++ b/student.ipynb @@ -2788,6 +2788,319 @@ "print(\"Third Most Positively Correlated Column:\", max_corr_column)\n", "print(\"Maximum Correlation Value:\", max_corr_value)" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Q1: Which features show the strongest correlation with home prices?\n", + "\n", + "The grade of the houses, the square footage of living space (sqft_living), and the number of bathrooms exhibit the highest correlation with price." + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Most Negatively Correlated Column: yr_built\n", + "Minimum Correlation Value: 0.03304060821765139\n" + ] + } + ], + "source": [ + "# We only need to find the smallest value, as we're not excluding the perfect correlation with itself.\n", + "min_corr_value = correlation_series.iloc[1]\n", + "min_corr_column = correlation_series.index[1]\n", + "\n", + "print(\"Most Negatively Correlated Column:\", min_corr_column)\n", + "print(\"Minimum Correlation Value:\", min_corr_value)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Second Most Negatively Correlated Column: condition\n", + "Minimum Correlation Value: 0.05131668178239331\n" + ] + } + ], + "source": [ + "min_corr_value = correlation_series.iloc[2]\n", + "min_corr_column = correlation_series.index[2]\n", + "\n", + "print(\"Second Most Negatively Correlated Column:\", min_corr_column)\n", + "print(\"Minimum Correlation Value:\", min_corr_value)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "corr = df.corr().abs()\n", + "\n", + "# Create the figure and axes\n", + "fig, ax = plt.subplots(figsize=(17,12))\n", + "\n", + "# Set the title\n", + "fig.suptitle('Variable Correlations', fontsize=30, y=.95)\n", + "\n", + "# Create the heatmap\n", + "heatmap = sns.heatmap(corr, cmap='Blues', annot=True)\n", + "\n", + "# Save plot as PNG\n", + "plt.savefig(\"correlation_heatmap.png\", bbox_inches='tight')\n", + "\n", + "# Display the plot\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Correlations Features\n", + "2 0.651543 grade\n", + "1 0.647278 sqft_living\n", + "0 0.469632 bathrooms\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "# Create lists to store features and correlations\n", + "features = []\n", + "correlations = []\n", + "\n", + "# Iterate through the correlations with the 'price' column\n", + "for idx in corr['price'].index:\n", + " correlation = corr['price'][idx]\n", + " if correlation >= 0.30 and idx != 'price':\n", + " features.append(idx)\n", + " correlations.append(correlation)\n", + "\n", + "# Create DataFrame\n", + "corr_price_df = pd.DataFrame({'Correlations': correlations, 'Features': features})\n", + "\n", + "# Sort DataFrame by Correlations in descending order\n", + "corr_price_df = corr_price_df.sort_values(by='Correlations', ascending=False)\n", + "\n", + "# Display DataFrame\n", + "print(corr_price_df)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Correlations Features\n", + "2 0.737053 [sqft_living, grade]\n", + "3 0.737053 [grade, sqft_living]\n", + "0 0.725613 [bathrooms, sqft_living]\n", + "1 0.725613 [sqft_living, bathrooms]\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "Multicollinear_Features = []\n", + "Multicollinear_Corr = []\n", + "\n", + "def check_multicollinearity(feature):\n", + " for idx in corr[feature].index:\n", + " correlation = corr[feature][idx]\n", + " if correlation >= .70 and idx != feature:\n", + " Multicollinear_Features.append([feature, idx])\n", + " Multicollinear_Corr.append(correlation)\n", + "\n", + "for feature in corr:\n", + " check_multicollinearity(feature)\n", + "\n", + "MC_df = pd.DataFrame({'Correlations': Multicollinear_Corr, 'Features': Multicollinear_Features}).sort_values(by=['Correlations'], ascending=False)\n", + "\n", + "print(MC_df)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Correlations with Price\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CorrelationsFeatures
20.651543grade
10.647278sqft_living
00.469632bathrooms
\n", + "
" + ], + "text/plain": [ + " Correlations Features\n", + "2 0.651543 grade\n", + "1 0.647278 sqft_living\n", + "0 0.469632 bathrooms" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Multicollinear Features\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CorrelationsFeatures
20.737053[sqft_living, grade]
30.737053[grade, sqft_living]
00.725613[bathrooms, sqft_living]
10.725613[sqft_living, bathrooms]
\n", + "
" + ], + "text/plain": [ + " Correlations Features\n", + "2 0.737053 [sqft_living, grade]\n", + "3 0.737053 [grade, sqft_living]\n", + "0 0.725613 [bathrooms, sqft_living]\n", + "1 0.725613 [sqft_living, bathrooms]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print('Correlations with Price')\n", + "display(corr_price_df)\n", + "print('Multicollinear Features')\n", + "display(MC_df)" + ] } ], "metadata": { From 78f524f4edcc2ce03d879f7963332840b6dd1d78 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:03:48 +0300 Subject: [PATCH 48/98] Create correlation_heatmap.png --- correlation_heatmap.png | Bin 0 -> 99233 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 correlation_heatmap.png diff --git a/correlation_heatmap.png b/correlation_heatmap.png new file mode 100644 index 0000000000000000000000000000000000000000..721dd1c459c3b21f0a73636fb14152738935fd61 GIT binary patch literal 99233 zcmeFZhgXwn7cGuD>e$DwAYehHBhr*=0|i7nNR1e&A%q@!tSHik-a(}kdWQf}6d0+} zODGBg(xoIoAjv(i^WE>>yVkvbz;CTz)|xd4$y=W1oPGA*=e+UPynpAwUiQ6gY-|Tq z?%vjBW7~;mWBcRXpS$2U?#h|d@V{#=N)KFgaF#B3b0-Tnb#oU7JDiK1&7-q!7EaDK zID2uCt0I?$&RV;;I5^9Qiemr!1`(W-m8fK4DG?5`$KkG_GaK6>bL78mnTi=UY}?q_ zRBqqUbx)WZc6HHh9Bo|Ec<~3G|NheU`Zr})k8K{u^NG}_?UKVjJ+T+dpLVz71m7_} zqoLvFw;apA{rz@N$5hDQ&GwHk-t1r4biLnJiN`Or%nc1B4&x@)D7A-P8RO#&b>)X>Ld9QRHl`uZNY~7}4(d50y_}q8rz!m2IdYV)S6tkaLzCqzs#g^kPp z>Fbjobn!oWsTba!sh?{!U9&dg<#XI+d-~#Zj$yHFbCmENqvU{-q5|lKK-JLmN)hdc z*d^|=wpKz43ADL^K0Qe`wuJ4?SKwxO3V7AyV&-u}6AA82Ka-Q<>v}`u7ZrE%k~Xe_7qya5k;=HoOyj zrlTuEBgh5Qm)Em2-YDrqcbWJSKILk_z4Yzd$LI8|m3G(J-rN^?kO}ugkf`{;@m3|A zmtEX4u#o(y{>_8k_-Ij-y&b8lN;&S_{s$`*9NA`TeaSKeIbDs{n*PhZ$KP*RJxxwd zhC9zLL^sZS3BMFpXBk?K8#Pml64FY)7i*?Ae3(F67*>0DlI@A~A3D;ot|M$g?2=)m zO(Ki5I9RHtpr9buw)pG&rz%fsb|LHIZf-v3$(F)wwD)vZMo3$dJZ7tAf$Da+6wVv7 z)6LYxq?=422tO#e9x0&r#_fcA7>`PKx;lrjX_YRlf+QCiznDa)&RR*upJDkZZvA>b zu*t#3_F4FMyyKqiKYb+=?ytf3;lsDRxyC2Qx1xlNEz3qBJWfsRoN}IO<2=AA(>+&s z3H&`mH&95ULP1#_jZo|DrDEN4yS+Fq6G+LQ#G8}&zcCx|u`K|*Id|L0XW?f)z zR@czJF>xb!^5W3*}lHO z)8afT@7}$GON&(4_;Hl9>|eoi>+|W4>1_$uQaEMZtXWJ(mD_wAm%L}{C5@zi;Bz*e zsao(?y($+QN!#v!W{fHT1$rQqE~-E-cEX7R=`9J@bRdegvURf}1Pw%bGPQ0U;E>X7 zir|+tulqwi;cCY}R*>5I&C67353IV&w-4JAuR7j@5b#|68G7^9tw#B#@gT1zqW@HuCPju4iedY4_$B>cM*V5DhdSWkR$@daK=+ zZbDRd!PU5oecpq-aoe_Ss?j2ePLnNJZ;lJjq=YEEiH;8!HY&OM@#Dt^Us&gs-nLQ$ zxJJEvGx^~P$6INtkqEr#rrteFY?Sw*>k1m=b&u3|xi0@uk@sHLgwLtQOXU_>wdWmD zSicTwq!)bVTF#`!V54f3P}auEl;G8?4HusXnW@{=&E`7Hwo z@eBVnH>*Kh7s$p;z%L-rFwCtD%jR7%5UR+f-A|NBd%5pqw!`;2c6m>ii21(~VP|KG z+Z6&NKCMD@Q~~NBiv$=t4JEGk$+jIWy^%q=kchS|F=AD&v-%O#DvyC>x2<=3!x@4mKdiFpT``V&AkG>Pmw8)ZLSmB!dy z!_>XlW80k>TD!HZM%wKB@N`FOl)@5?7FAweevnHp(~~-*(YO7=DF z%SZJAo>DvRaL1+{I&h!|Vo1`alV^iYS8fumZh>9E0J_f%lgbCnu$aEtf*%b*9Q2K; zgFO@@bcx$oh!b+zOZ&t5V`Mdy3(^ChS;U-Voa0ou(3U;E7}j}hWlI2 zV>uI8M*|ZM=Q`PPIz9w&IPKZ9XMv1N`_wY$sr#i6XoDZ@b>VjsxDh!Y+JKc5cQJm^ ztoTD-)_J8jd{D2XrY@=g64{Q{)-cz{L#%g@w61w9rvgZ(!B!7OFxwJk;l>kt(spd$ zu|v{%@}BGbU{4O(wV{X#hb`~X3HQsk!NFC_(U`D~?t6GkLAY{}E% z*L7Az{9J#B9gQ}7#cl2ZK$UP4tO62(ldbU>fJ&)o#~=S3F2z!$;19PUVGJ_vCm#Fj zufMQyP*H54qM>(%KeeOpUK6<(LgphSt zVS2RUCAFw~t~1?YUQD1r?3W*2PmQ;b#185LU(lZE&N_bPj9tr*czLg~`$=*(slx^4 z&w+TQtc?;zAIaamc~j!i=hxQB`G&>m>iLb`_)(t>U`y3ih)zf+J#k>UqaeC9<-aZ>eu7xXB%uRp$oqxEWeOe-92Ks{~njgzp605o|pg$aOtr7n(+<}ikb zhkHtFbP&+>SecA`_3D-VP{q3-4rwGu8U{O&iV1gC`uNL{fMTJvf(b4m>hquUbjau4 zd=zfQ@s{8IjyOq7ppS-zh9qvpgxhB|ba}E>5Rb7@4`uAl z8MVH-NyLrTRuNdWOAiK$ET~J3+(he+_eka9nFdZO<2DyF*`Ayao2;^p(T67%4 zIn!>Ss3B~xn4xNY9ORo4-Ac3m&GDXWJ;CFmW+wdFsb3)&O0C+t7|hMZD({V=-*j~b znA&7pA`y6%p>T#lzS;8Hn!)?q{(-fTq9}#Rii%U>ZqY!GQxzehAo5O59N5_h#SFHC zW3$p}LK}b_;E&&;B}NO@5rN6->S_rft>^>PSBJP~NQ<>yfLQ2GT{gCubBILw<(Fk# zo(E}Q^T$ItVQ#x3ORlL@PCZep^JgO0Q zfh-t6$RYLKXJaB7VL?k<*?PpBUHDI;$x*4m3W>16p0l~-F7tzu!l+skz>gw#@7q8J zCHF-f7kZ!xG%?6!+8s)^UahwW+@%>p>!4HzPD$ZLa!!hx^;f^R31mmouK#jnWo2xn zalykIJvoLtaAe6rr;X(a+x~)gJ#PMOuoIj6HtpRA#NurtNT* zYpBA?d4xQIf=UCvWeVsg>6HhOE?`uWIpQ(J>BC~IHH^cj{jXHW5}4j-S>rN0qiXj; z?bN&GQM~wtp{7LHa@(HlG|-Eu#an8st6gB7t^2O-V*8*k)QqrlKb0tEClKiSqdsei zh7bF6K~SG>y(eWVIAC`4(tQb%3lmCB@Uec$NI4HD_1G)*bAI*^76H_Wt?$KmKEa0a z>Te7*wYRt1O%}oh@!n6ccI376+kbksk(6RC$;IiiPEQ-lhLqARozPFc$`o;SHbwO0X#iNL}IG~Ygf;`9FTmoP(l5hz)f(i=ro zA1>oV+zJvTe^i;>KzEwjNn#^_u{9Ju%SD~8*piMfagxLy3v&|_6GUniH`Ybp5VNRy z;V=C07i8lMgjp{lVgR$U;6MG4ZEPRd|JBiNA>pPW2&8C0Epbcf3Q+bWj8Wp*%~@S( zY8m-trjbtiy$+zbJ!M$q_*pdjnJYEs@fR(cqk?D+x-?{eeK#gf3Y%1D5*XCz)<&iM zwgcL0P(t`owcb(_ETF2VDNqeMM(mo8bbZL<0ioAEiH3S_S;k#^@7BFa(xsMcED66T zMG3h&I}`@Ymmg$mL#=S}IYGVb$CB>c!;ZbTg;=i18ix)Y0^{W_nL&#O>HbcXywy30 zRv#4wF=zR)dA$fXs!;62E^TkurI?snK%hqm8~65;!H%&Xt;H_I05(!w7A}aW9O+R% z3aE~;L#zv=FhAdY=zXg=Xl_KwsYdXbOO2mld(waQ-x_r#(Qtiz35^}Cl^-lgSG(fw z?%sb~^Gy?YGp@k97{IS*I#ON@1nPD*X9yR%x?xTB?%mr7%B|FCLKVcbP^ZOU*&jp@ zmNw2F>Eigbf`KU7UR1MWLauascwH3lpX6&%JjEPs^|wDitVm8qpbG$@U|CNj3+J(Y;JYf~Jf6AR^&d)GHMrlI=8DH3XT?LYOF zz+&{xc^Hq*79L)bUm5XQ9B}piyqfOAFOXgwF6>|7hI4RmNR>zz&rK_EO%c@3$%LAT z0kR0J;z2~?HnzW_|6@61n}71711AX@NJnHe*m9@%hsPU3T16TWiq{(5g#rrG7{c8L z_w34`yCMo)+J5Nu@{u17Wo?tq5&Yrm(~rggsu0Ek6g&ft^AofQxFWqkqJ;8fF>1r0 zT5X)=@AXwjK6dOib2;B8VfXdz(_xPn;--UVdCw<_t1-@s#O7JWT~s^a0ej%;oo7uv9_)R0>y^vTujd%_*?iU5 zD{0_n62X4RhBDI>BbK5*v4icQ;J=BKi5OClOo-*jV*`}j6MTl$cv_BG&7j?vU6|;S zSAKrBfCzEdoYO&uT9k5$h=?Grl-CIqNQyaCTmW3B_1I^Bo! z=mA4qtv`vn&C&1b?5vX{=g|$T>a#YCAFTBuU9oDj!w(<5sQP$KEUG0@)&McGz+_7~ zFqf{8YzF3_E)+2;$cVD3z>bXBLlcjEHB*xqYUAHt_AwJ+yI}?F2nqT+Xv{eP4!eP$&oKG7AOZv9Ie`2dgYV)q?|SN*Q|f@s zkamC2_U1^z3?Qch2*m<6m};1_XGtMsJqcU`f72<^vC5DN`_61|Ya&h|xE4s- zfhPF^ehk#@AeUP$P*LH;_uPhm9b|iw`PaYeR!JfeeHnB*$Woq{I|qTVp>r5EGMK*B zR&_vyV5xklsEDu9;0r2C(xT~DalDq&rR?S)RP=`r*FiJa%@vB)uHQ_QaV?Tj6Xm6r zS*6c_25O;=dd>=yn#F6*#gWP6ferOP!56x`Zz0dPT%`Bo@GsxB)oC55X#Mbr3GB^%h$K&=hOi+0bFON1`x zsB6xa@wm9--1krcWHKRD;gO1iLjgqFN#a?|=d}&1WFJeNhtgNCUhVYoWy#XGkq3QW^#7v?LA0SAJ^bOWvmpbKVgT5bUxJ8`SF>fr3{Y|Kx; zdrsBgou=BbCnWYC`k8dixk1R?W?tDA`WaFbQRA{4^$A>m!ACpAGR)&a!E`EZX{iI8 zsTQu{i6UokMB|^O!3iyIsA*`lpUO34U!n?`RrgP#K}eu{Ry*z>JRNa*L2?c)EMI_a ziX7Pg>)W@7jMXj;=w$!~Nn_eUNN2(NTG~A7+6A2RigA2zFY_?!d=%Nb<9vJw)VUNO zM;Xwc(y(ZX=zxRS;Wxy5$a6p}+LINfy@aaPs?yR>bBHi5-ePV{amOp7^UP|pAwAhQ z4T~OY!Fr76*hk$9SOZWqEQQ3As zWUr9-T+IYG(c*+l>)+>|593j5OG|}ulMu%2vTixZ8h_$5zMUX%tyXi<=AXaMh1%b> zP#b1!ZLQAcla18ZfELccwg2wtp(W5IKsuX}70HDJ@biJ7HqAI93IWhBhygClG+x^!3BPh6Yc>GGwcW^e%-8`6p7p>3SI+kE( zDjdgKxB}*n94XW*wp1@pld|&>1`Ew{u@vF;?n`5Zc_G4!(U3;UMqNg4n2aNivHtxn zzgnTr0*AGngL-!h_*S{6iM4fR?dF1PaS>{&k^qvdRRP6hZsOvDNsi-w1HSj7oPggR z`*)c%kr0pHj~ytg7pkBXn18yvt@t%C9CR6Y7>@&{H4?7A1DwBIWv=!4iH&!_gGE5y z84xcW>Ci}w1$Vaju6XdpY1kO4$ZOy^wkFBT4o>yu8e2&buK)le9-z9%ogYwApv@8^ zPXm^Ofy&##b@a%Q_i&*2)_ZNRJ#o@Ft`wQu5#R~jmG)#8d-MY8oxStfMd-aii!k2s zNrCsqvR2-{`S0J&dwqe>A|`JA#Az-$_qUMTr!Z92-~9}57UE}4qK;g;p99%*dh>gJ zeW%k7D1k_oX|Wt5ue8Z#o7GeePu%e)-%FI~84IKWre^^fhdv9|UR|WVmX<4~a*K3K zkJOL`t_Y4d1a;ND+?S%x4RSocmfkcs`8U!g0@Ow89rDu6)>T1D8;u2PoNHX(HYNs} z)C(0M5NV7l8AU+_^g4{-xdR)3sSZGKAOmhQ#&nk*R%Mq8V!{nD;S4<)8r+;$9j+rJ z;rjI_hmmkx^R8?BAn)boLj{{qPW56X@*aG>4Y_dwlJ34j%`nFn9 z8uWqMway%ay+yjfkS3jQT`4s#h^@>HMH8yH6)ogxORP9%^=C&%UgXfbTf6l#H9z)4 zc51G){^m}luPBB=Z42+5%`_J^{=U-HdIyG%-YD$IGj&F?##z89vu?`ElVO5Y` zIT*KnV43_FA5Q@|1w-W?xY3<}0Nqutn2n8%(~YasU5$AhySKCbb-cMt7V%~ptUFWv z4}ZOEYETSO1;7#AGY%Rt9c(=tC{Dkfj@M3p#H?fd+L@Z~ZbCQc3Kt2Q8mXtBE!BVe zbPGHUy<`QSz$ars93&jRT_-m7W@>#BvbJmv`Ut@Ej?AR1)z;QRO%Ja>T@r@0pTX>F zv90ah&mnaWu*j&`GH5AAc&ZUt8r-~ks;k|29jxq+nHk%%T?>G6i1xPl=kFUARUf48(`@}#*QRgXr6*zKBT+eGTIrEAU|? zV3YgGMzSUI^725fCeT->(bYKcpa6r96u*6}D<>~cZ5AbG-VHr3CO~@l@!8DRch4=` z5^Utk2rS?EQS#`RBdofBL0*E}T)(-T8%VAi28|Nhc|zDo7mnJn=?Ge}L7f8A1n(hh z2Td0>6gF;$aLIQ<4==FMZDA-2I(J5LB3kcnBk>k!d96`D;DoTtuWvVU9~9oy?$IOIJ`*d=WrJJaD4vydA| zthaKFLMFC)e0~XkvWEVdRK86-tWOZPB4UB*!o>wPVzcnj7Lvg9=I}i?N=I6fU^q#3 zf_ptNJ)MONBtW?;^VszWv>sx7-Ih^wtOtGwjz$ewCdaex0}bi|$}53x*bg?E5*Scl zK|8l@CxMEw9jUH7A!?Q*WLWe-SQJV$9ikRNqT&_HEMEwfUTA>of~mWSdMJl*0Hk3D zjX=t(5lf7J*-wnP*B;mQ|B^f8?Snc#}#ql=A$6@s1i493vevSZQMj z$RalG9Cv6yK)^2e09?KR+?f=o4s_gw&8n|<>g~zz3Q=St#%EJkS6BKfG(EZ?$|T%> zeRIz{&Gy0YcU$JeQwf{S+t4$SqUogGeFv~Y@vhFu$nahNzPr?Z*a!$_2UHiN7bH($ zn!vD(K6GWMGzyLgK?4;tYVUCY9)9r9foIJ?&(D2=?^pd_kGT>Xl%G%>X>y z1H9~oCIIzk$AvWYczy7{^k6sy(S7mH-DuX}5h11)T&oRi6#{eK-rlQo1LBBLiCB)% z7a&4}WWqJ+_ZbE6gKYtOue8MB`^{Xl8Y8GY`Sq&+@&*9-t3XI7oGz|-yaBWVdSGNE z*RWU_Z1zqdBdfo@-`crrmjLW@6Zq#a%ao7UNnjNhde|&A!2kr(LV(Iv3QqX^Kyjlx zLP8LQR0PvN(4{hfKDs`%G9Hy2yLB7F2br*e0f-AoZx3n4gIonGUmVN_J{WF5U<#Hw z6<8DzPz$DJk}O-}^hQQT!cw7RWq~Q8wM%3-STWmo?zM&{7U<~&C`>%y<{<4akOX?r z?RliT2GwZh(;>xf2;&lT<3UbEUlU+_UxDx-vlJ8mg#Mmq0HYj)VPTB4_8CW4SLl4y zbiY^Hhb$5F7Gwy_YAywDKImJf-3`473c%pwvz?$fkL%?cNh(X5{lRutM&w;#Whp-Z zE?dS5>{g<@mp;_X9yrg$)KmsAKz``?Auidsy1~#FNLDw{4@5Z2O^%OW zfI5k=9Z&fxICiJpIb;E232n>34zmm0aBzb{ z>5>O{Q56m!7mEHnGwL7%3@Va{84|T~fU1s`1vBVdJ9rNjM^JTSz7mIYTxzv~jdd;4iD9H2&?#y>@nS$LHmHY zdDGydO=VRTkIV4{qr2AD@XxHus;{i0ox&*Ai@aw#%`u(g?}*>JhfWcW-qXB{#@&2B zdnxCyD#A0>g)bb}orcz%H*Jnq?b6!!=bx9$I~)AC zIjZ$R+;ouLpuXG zr0)YY4dsFAb|2c1MgLoPpqBg)nt9~kyJ2I~+W46gf_w~V2g4K&9X#gqXm-N3xo%+tRpGAG-tj2fTKFZZSQZ zgpIv+eIj5=tM8oiYM*NUi@f{QmCl=G%%rtwx5dGC9MblDy6+GeRE_4(NN+XD{3iQy zEGH-Y607H#hqLSY*Bbyp20$P?jAO-#sy(*0ojET7d5?`(H?m}u#aS_Vo>UH)-5|V{ z8vZ+fm(9c*3o(HU&QU@}#l8Wp(~Cp3xgO3_FG}aBzsg!uufRN^%}SK#B@qhkGnwu+ zVgk+Q>uU>srC4NCAkD~C5^L{8p>J&1Opm=BEbvW)39_>UMMV%+T02KP?tp`=A8Ff@ zB2SBFaikt^X8CI|iXVT;F6FpTK9B$8XZ_{W^lSpH48j7nlq$dV#7^{7QSm#eiPBf|^COwmufN(4$M) zXE48EIkCmm-bhgE7`= z@yEJ_VHUdO<~kFttozlG^Rp}06OE<57H4QkV3ycxBCiqE8;2|0l!#Fx-5s~gs+?!j zZ{EBWp>RvNMyDbsyN7xAqFQu7xeTSrWsVyBYoLoKxN$_MBd{itsISvyDID>!VXYBH zo=P8gZ0Gznm@(UzH#6O3g&3Aamd$yv%0$Cv{icL#0X^Q&o8~UwX4s1>h1zHXE4+asTC^PN zWpPLcy<)<2d+_Z!mR?=0*I*YbTEyt>j?J}cFsVH)J6USc!ugiMIcqE!+RW0I+-w-p zo1NqE!hW|KWn5TZS?O9PL|M;9slz}~m^T-l&#)-9De+QrwmvbBw>3`Crt`5_UbJM} zAnOyD05|PiNY5SgUc#iuj8d{amy1fk*5HeFd_S_Jb8SZq>3sF2s^t zX7iG2(4%EX8-jYcyE2UID7ZU;x{`ueuZ>P6>U_^Fkkvs_>XF$!tBgY_FuAdOx4nL5 zw`FgR5r@*R0@r|a8ILhk{7T`a3X(@k5JT}`TgPWdsa4kZ!k?@}6pg^~oFt34GZ;-u z?lA@@)*-r?c9*HOUllgkyN~T4qbTIy0!3IwYB&C5YhspShPtk%re=vvldq=X zj$McJW+bM^a%#gO#L_bUT|jev1uvQU@BOk}O;+ui91SA_#mujt9mxWGe3u6$78d-w zS;eB=^l`V2^h#ew+%CdW*8M~|^TO(zF9UvNpc?qqPEfYf!+uQ8j722Nm8 z^aJd)ph)KE#8KCf=S&u5y)bU$)dW-V2We5SG>!_tai3+7M>C=}S$T<+p8RMZbiVM% z;b@dRb}Vp|q0T9X5Kwj)`n6Y%=LL|VZ$vK%=vKT|_wegK9O*d86n$CB`kJ3x&iaXJ zm`%J{R!VTvkR4%TnX5D%xc5`w^Xt)C?%!x0OM0COv-x4EVHeeGVGg*kDMc$q8A{T6 z;(^t4TVry9A8iYD)8N9$JcV>;ha&e|aH~|bKjQaJKi_+N0;cgVygD@f!B=!A3{Ve7 zs4V~br8$*1j5g_wP&vBVxSAEl15;3XnGaN61{{kdCnuNTDDR zkpiZ@lhy4B3TYafR4KDplBF|S8XhYX#r*R~`@A-y%yzgpeVjHwoFb|?i|Z{rE}$O< zvpxs8Wvol)yT6dXfVE{>RbP$0#FDx})`&kpZ9&n`&N;6%5{YuBnC-<-L>1=q`MX$} z(^s_0=WD$1J!xpKVKPA@EMhvhT(_p-m1;O|u87Ii{M>kH{zLOq(>C5vAtir2zbbJHe zv&fr8ES%&tE4gNl)sc{rnQ+ZVHJMgg!+Is_MK38FE^yRAxbcauOB$hdlhui(EMxH> z#E;4krPG0Or!jpz2YhPLW51sIuwVP3_Oe}Sid=^toQYEA3w&) zI%glbxUAVsGabvB`}^;|f;OjRFBD*iWGmJ?L!CyBO^@Z{nxSKh{2t54s@$kWwD}>R zP}e=?NAhqAizyvs#=Fn{;hzm_u-{AZA-j~;=R8J#6i`hL_uH zj>o=e0p~MiEJD)08}@hVTTE{+^X|lRx=t>95Gj>NZDh5G?A#J<8=|hP=zI#Xh3Q+_ zu+*fQ%`CO@1t+o7$E55ZWUx5aUp{-beF8e~FVzhAG?J>_`X=ULyKINw`@=x-4=@8! zjT+jOYl@eX4#8~3I;zo{mUB9+j%iHt?vc5u`ommuk&{wBL;Q%EnGV0yfTo$n9Z!U( zuBg)+{y>G!snAh1yV%7#>4X!g>R$#7R!`@!tT~oK)KGL~q`vZ?C7Nd_XOn)wHXkDWOqg)X1Uc&?Z4xUX1d6j;va0j{?g0}++5LAQl>Qi+e4 zDBCxK_8}Y}=C)3Wa$B zw20%_DLvvmQ~YKrpkkY6iV&5B^F<<1`DfXxzAGKAjLU!sxEV{9v+r z-Wo6nAH!nSSRux>Gc0moa;norYkS8Fh^w~bd^$@}Fl7Or{2|YDEm39@j_y@=yd`<|pvArTo2+|3-m$srf=g>;qJ}J_1&QmeoV?iBYw*`uqjSvLmHj}xx07Y`&i$~@VeSR_OH*W z>E&swhq=s7sxyjR{Ojd*Y~L=y>=TXB#>e57}+U}VhNZ(?@m83%cBAlz&#cI;VCA`Vz3zO(vENB z3wh5U7`&mDBaNvje{*v!Ae}*GiTMt4yN5H@QZx!EFp2L9^8Hl%psTXK z{85{S(MB?bk1}ly{@mQYxt^8mc1AAwgJb|I9a9YVDm>`YYFwrtS7LMV<$(e)>Pm@c zP$=&C{#v~-WI$OG*C8`lGVE0wH(%p9vCP-?0tV-X2YYOF$-$OPF;f`ofU!BPdezAJ z>}W}tHtWV6tz+uU0eF~?`ruaTn9b2Owv;y06ddJ5?!7@bwfz(~3b72^(RmZ@5N(%l zRC&I0MKDTOvdow;B-I(x?C^5$Nv#P1y^AVq3nM+g`95wvhI{w9sGngGQwz!%ZlCX7 zR6pTLNxJ6K)bD%gAmJhJ16H|9u-!ZhqfgYT>8G+TLHlI0;Q+A5n~wOdgZ@lzEtrC0 z;=Z0lo}usyJl)eBd>RjzZbY&yW%t&lJm6}muU9%QXi#`9BxbN;QjgoNqs+NvTETYc zW|nqFD9`+Gsd{_T0G{j9Fd2UbUCUBtRF#FUQ88huIRnlD7+QkVl%q9^3%yAQin|jp zf_jP%l-ZQ4$ZyPFdNr;Z-kx+{%9myr^1MCC@9e=_K*Smb^**>0eiSl8TM3N@2+2*;S=?<$)pzEmV_K4)55S5{bV7|;u3 z(v3lwYW9t9QDrUmj_a{d#Z9U#oK+>OT*9zw_8aq`sh?lQ8<%Om*Jusj4;0%?w2U&I zLu+%!f{Ck%G_3Jl3y{Ln=C0|cSPCEKTMt&PH5mN!ZbOv#8Veq_8Q-!5-s!no)XC)b zD`j~(_A@`k2YwUzYj<3)P!`}Ezf#fXu+&c(d0DEPVyx+J3(q&#S}hMA6E>0?EJ1pr zI#P3aW8gkE+|xInA1!ZR55Z-1T0~xT9JB5^;hph!r`11aRp@K$Vra%SopO6m%&+L= zX?RR0wIEgm?VFhC#wjzPCyG%%$ej*2p`tyW-m14;qbVB+K zN>QKv{{7upT3zq-zWslG{a8bKua5bWlXbMzv2`yxU29^dRKlK)QjJ%5-s;ivpg=X; zO0>7{LIWRuWUC{6-+=>q-YS~Lsp7_}Ke)ZPKUcFB3(Hwv^;#^#Uw8&8tS!k$lGb4H zb?8JJbC^KxGux2!=HnM~PvnUsq{38c25NQfJwbxH7TXjrN?-b{55;lKYd$h0WPV<8 zIRhnu`>q%#CvQJEYEw}mGsz9MujBO7MRA{vl_Pq#YsL3bRf%7F{0%bHEgv8ASTiLy zYsUC)+ky?>Z1Oza{dX!p;6!m8a~S`r6Od)*Gr40lZ2&rht;Qw2VG~5%QX^N=%;VOo zQlcw(1}f&L51woDxRpY;a%`ai_7RSfBx5sJR-c>sY@uBFGtRy~XvsjzEsH~{m(#J|Ibk;PVr3FY1L+~rQtI3v_o;MRRUX%B7meW{j zuMTl`CyTTG<|(xvFoIcL>(V4GN9c85+nVVo8obvyWnpL#G@mmtCp_zv zIt2sF+OWty>886a+LJ!zRrR00eEIs(#vn-=$+z=X7Rsy^v#+ZR9MM`M+%H?Xa;#-| znWXS6y_DFHR%BRY8B`J#mF7J+edsCRRI3|LmhoEB2@0)&I@>^h4}b5`NU7~BB1HX! z(rP(9G<-DcMoPoXa5=fNwmR_ZkuDj^Fe~50U%@=WA~xXysrgMhtK2qM3M*ocKXqhwk?@p zQyP3223zh584?-q>_i!~bG`ikC{*-80oUf1A4==qet;Po! z(Y%*Xofq43+1JML4QQ;4?-5Z8rFuK>f|ZrCQi~x%ZoxGM>J4UKl%zqt*mR{8XAOZ7 zahh@%w;hpma|6!(5^kID-2CD~Vnc0de3BSVc`@j;7kX(}Tz~4HsG^ZKn@sK=^?&Z= z$9b%Os~s$RV>#CvtLC%In=6CW;!Im)o@^smIi1}qp8nbK$*9c5{~)*ATX>#?Po*=p zDVh9shPimbN0)4#5Ud1HB5Lw_h}js-)eC0j MR9SU0U72g4OaoDSBzg`Hy+nEq zR2Vw3Z92BXkp$M91~T9PO&plrDtM7)vVE{%GeT-k!9xB!;q|n|)7X2y5qB=7e6hF+ zJ^KQpP?w>cqn3U{V64PXL5jWIiK9gQyvx0}ngKBDCACwI#FzQFvwVe`ioCOQKNrD( zpI)!L>}^Gxh>R^r5TcuTDG+|EJ5>&appU*Dn=w*Mp@7RBNo{r~Z8X6wAQn&^r6E$=O*!71eO5T-At@YKbGs z@*Q5LXk4&~e#6Knm`z}REHTXXt^EwmpWNEWW*OviRkGrlXxG(4z-WjDs~)To+tI=R z`oRJP+F;!PdGl3!m`3cCNcaW8p?H3Y9&4s*Wy6{7@ExCXP`0<0)YXuk)8}Ha?tly*~+k7pIN29%fJLY?%@#fRh?CjZO zOR_CRM5-j$hE02~@yQ(YR31$6muRP}QkUCiIV4s>Y>*zSy{8uu-)6R1rLIWB`IgtA-vFA%ExK&YioU@HJAWT23zyo^*SjZ7A+* zP_;TubtD};v69YuHBjK2tDpNP$?Q^AMp^wraWvKf@w z{*DWA_D-+XgA++gRVkjgy=k}SU4v_!Cyh^gp~l^<*Sv%s=Nd+Ug!;(-&|_(wRAQ~I zt@T9;PNH!Ez2<0K*_>$O$k9egt6pN^T6-+~CccbwE>Gt+4yIOS*B4knzKjg-cP!>8L$XgAahlib*)y;a~l zIA)~n?C@NZ*jbx%6U`F5*hhoFfAMOOZeHOGszJHRmknKKpF56hD~~%mpw8Cw#{Jc)>V+&RmSQ zUODhuJvnfZ$=!PGjoMUuqNIIE=v9>?>PfU$Z=(4&1a5@!2(WJKjPzpdU~G-^wQgd{ zcx=Wh3bPG~!2@$+uYa;SVPsIkyI)g9`yKK?zL!S)vUhk)S#HJwEGCZkYunmgZxa5} zGCLi-o4D0xKCBVxW->v(ZYJK+r8#;LH{Lk&DJ}}JKsWIO@>Ki9 zm$?%)mQ>ZWd$FpDOgX7eItkW8kE|e%xF9goZ+d~u(pTJCRns*btRL7U+id3h3@{b9 z{^whJp46JpFZzsE`JP(JRc^SkxdSI-pSdd@Cj9!>3z(DfxcAk8IVP1(Gu`~Yiywld zpT~bW&nz>kK3vP2z*AW@h_8G_j8`!%J5HPF@AF=3L2QAtcqxp{$~|@+ODyKozJoo) zzFA=D4ERXe(Y-M39>%g$!l|&@zQzZsH%QOl5bG5yyeu_ z;6iCQq+;-yyqAP_aV`u%c(xwv>!e&=q9R^@nB*c6MY{`C!S~Dx5r!3fcLoWfaS>*- z{iM&!{TSci9Q{vQrGp+>g#!;B-}3aL^sH7SD-ZOtAaD$bz1ZG}Q7fClz=6r9rbl6f zkNwxi^$E$-UMEFM@<15H+|Dj-UIY|NB}^*Emp2 z7Ie9kJkan}6Z@>^+{0-oa_FVVqeI&Lgn2=|H_U_et#S2pM`W&^=#q^Y zT;?8pa#A!9dx*pLaja^bL~J3W&acQUCgS+;p*QOeYi*oRiUj%R0$fvg)zJ|lhLpJK zsGl*VxrzCGt4=K^MeVF9Y+Xf1loBmD^R#xyl{ z1Q82}ASFmgO00N5KzfG=f^-z=)x<7Mj#2~!mENUy&`41bk={WCq=R&+=QlT?Z*s?* z@qPK@cgMYsk==RD_m_Fj9fx#pU)E4?z@Jg9j}_%2YAt0C2y$T_L04BSr4nke@j>Q?&HX2%&xX7f4? zD?AtSooqEvk066iYH~B_Xn#^}Jh%SS>Fn{YWVS*<&%THc8Lv$E7$x7wb(ARinKk+D zsnN8ulMA=raVXX{za&to)6xJC7}5S+q{%uzcuVT2 zNB)fsCnTnt+bohli3c#>daxj|`}%_0nXbi-D7V@LGD~;=d1?Dz0grqcUC;cvDUDrd zMGtl?h>7Y{q`1+p+-BE~)JiiR@8*8k&vbpw0USo@E-ij){`j^X!&6D4u?u!)o-T8T z*KJoVonMUue?OL`zs_Q5GTMgQX#4yzh!-?$|6{4)Y(#lwN2Q5l4L2Q1>nCyX%oH7$ z`=isTN%31=4jnuwkYUztG~bh>)OSdr?WF*Fq&dTAVXge=w4kx(Vcn#@?I+wcUx!g# zPM05A_;Y0BeEw_d#QSR$9hKQ4Kba5arsWTuhDhTBLM04y?b{6B7st|C9K5KFPF|5OAD27lkIe4+(%(oU35ve*eoIVofG3L@l10e@2~a``EWRl z*~chq5dy%sKkYIcWEyJ@Tf1NI;VteDBi;>yQ?pIKOwG2;2=@#OgzeHkYz%CzL|-N- zv-XaqWFuctU2VVb!P-YeqzdZD}$zhC0~YVT_QuL^XZnU#0Tas@m6CdI=Li39kp6@{F$}Yv;bE#eZN@BvX+Yq3T&jy!uQt zW8~UzIfTCYNMC-No9%Qn#zT6!vwdH+)Hlu2Zk|2nvEvYUZgqp|ypKf}L8C2!ZopxP zbO96z5)2iOrd#mkPg2ylJLO>C;TROqe*dscvtU?YJ9;{78*Pw?;T6TDY zT&%r0YB3R0tj)gL^)1g?A}~sao{qkBPMS8-QJP1y8?HYl=G4+aOW?6oEnhC0-C}EF zJP)ou)c8@|GUw`}ByYL+a=WR;P!VMlvF|Kt9`!8}`a3fvK1S}#a<}&ZBrtI6?Hk-G zQ?rhoK6CyB)NP(a!P!<#$|@FjQ!Gj@sq^4V>uX8%0(+HGjx7=5uF1&nGcO--@hxd@ zFxBw0<7gI;d>u?kj}Tij@82LOGyd}a!P%>~TQhv)nj12ZB!f7T>L_`E;y5)}=gm}e z`P^}bvA_xJmnzN{UCZOy5ZkH0Vct^9q$lr}53K}@TIo&l(z4ZaHA1S+HfOx9r^&3A zx}@8F^>yH+X@k*1Ge0$ab{%~_&$G5*%R&v=_pgV7wkcfCcAE1`e!!pWawPlH+mUIl zTX)rHuU_04Ww4l^K^Soe2qSLESp)oKVjX@r+@k~jJ5*^;}`KR{Fojp64KEAU}V2C#5l|NO` zV9}&fU$yTB|HI0-#gPxgiAQMXb!nM4gZy){o7bw2Atj-;W{=YeZvUxJ>M8YOPzU8h zs;hok(;OneSnvB{{~=mq!IT{R+MyA?_q}Cb<+(!5Bq&@asQ%N}XUjdbbagxI6E|*x z=G=^DxuI-`&{_Tkj6ZmoJ8|8;7e2q{2l^IP2mzSPZl>)L%=mGOb7^9Vo(ZkMrNsXx ze%d_2w9p%nnK0R4+Ds74#-n8~e%Rt%mk~L%?SY$jp_Jms2dd@+!^0NN8=Wx{$EBTT z#1jhgLP1&79bi#IEev59=ny!ul9o?rjiB&!sW(_R+4r zN9`6I_Vq}S9F6wA#x+(g@m`r9N37>SgSw2{Vyn7-i$X5CHMHAW+2cEUMqB&ts?>xE z&%~OKZ?hK*ZP}x=o!U`?W`O?T8nB#moRLecIo)sl?vKf-!al~# zp$&O`-wpq1=%D*LlBoJ%V}!{}BZ{Qn|LT*a)O~i}+y39>N{?JwJI(3(5}f607sGha zCi3OfY)?!n^E-H6OC-yUChq>@T&Re{pIPVFE!&*|#ww;6cUD7%!gENkSgMGfJGaHQ zBQAqe@%8Hrywa#;wT^9?dBMC-bB01Ud&$)62Q8d_xtHeRdN4?{+TGZDmqT4fv3pB< zhI*<&4QQBKz%<6-V1Jo!`L-G+3ESF$2X`=wu$4`Nqd9GT6>Yp&mnMgSnUI1!Yg<%Q zDm6DMIegJW&W~8Y_=mYq59;G+D=bz2GyUHkppN=^?vdy0v z(C@?XZS}c7f=MB{VaR`r?Jnti?BgP_bd=_aKAXw06Ekx&eXm}+p=HhJ-e=j7_lTh( z@zf7-b|Ld?I3vA(WK)b#NTze0x|ckj8s+iweC1b%OWS{vcb?iQVXL%yc8bq$%_)Db z{K(2+{b{ptl#~k{$VI@&=uD2R&@_3KwAr_)>!j;cO0GHWSg4phjTwt;8qgFlPy6JgMztNbpL9JqqZ6}~ffPQb%vq*CTClsH;r6m| zIqLoxRF|l&Nu9uGI)+;IH(LX1;I$~YOcSWFF^G~4p)=1}Gfq2HFA@vdN?WQ4b-zsH z4_gmP|Deg+H!|aPBB(xX*Cf3_N?dT`FAGVwReHtx4?_EzZST6d7nsvP2zB2P~udS>>_7#+V8*rKHGQ02U?~lW#SW0sKt5Vo}7C`t8~AzsQWUUrYR&D zIT_usdvVsybA#!QmLP}~VUYH*Os-4IwxOncX@y3{dkg}`di-v)G`C~j^y!{Mg@&iS z1ln%1xD8a5+gy?MPkLButS2yjC_^EN61BJZPgkKE->fxVjPI+8gj8}}+V}b%3)5wJ zNwvm0l@;f}EpYvLt^UX#Y99Fo1>&<~HLfL|K7`4%7$BxPQuN!0*?5Ua5M5MFpV^}A zN}H}AvR+LOR8h?g42Ft*&ofnTNq0j($(WY(bLB!uS>ph*By9QftpV&cn)fG5L#L)` z{rmMtK6o-%zx=Z?S07)cZQNwg{7vI*qv?<57l%W+-M-TQb`Y#uKGTwssz@>GkC&?! zkvE>{X0Ll6zW#M9jpU?XuhC7Xh4O}3(w=W@E>zf=F7a_csVt!9Sfm!BOcnKl)NoIRdgDK{bWzbZ)h9?M(fN|HJUjOW z=VtMD4aq)SYc@cNkz0Zm&B%RzEL<-1h)huWO?h>mjRoKOGjHWmV6LCxH)}nvo_Z~F zNX2sp;|W5787=hk-BO>?=2U|AeP30%QOl^lTh;YR(~1!Cb^%oqCZ$se==f)-Z!w3e zqIjot4=7M|g>rIYt`jdfDz5$5Gigi{FOj$`V%xVLsy*(LxxZQUY5MFPX`XC8J=YSb zd~mYm>P6^8@<@-rXiyEELLN~N%%$yUGf-7y(!P%Ven^=4EKBUA36VKk?{^D@4)c?= zlEb5QnJMRdnL!47 z)VI0xxQO@ROpDt1m`>8w7hudSoN^2_sp;FS?=+cmLgNsv@|5xXLWt>L^rPlfefRJu zb3a-4H_>dAtIP)5vR#5oPV!7yG(VBuEFIhWr5-Po4c41pR~h~!*>=pb({mw*sZKT2HMIGGob@Y-h6i)0tb0n@6WbEJ z^CuZVCt<9brgfCi*x79LEgR$<%Z9pz1BEQi!Xtk6Sfm{?3gOCGlqd_QvC2NaxH;;8 z(@(RANE=Jq3&d<@thVTn_{q!`{+@(43~dxxE^ytZig)W9UuCAK{$!9UN7=f;%hNRdb68y)?e0Uuu&c(f2v4hZAaP@pn|IijZX+G-@{NdX8FP) z^gUznm?AZi5z@PEs*crW(q{SzcdPb|S5>+P^EYLkoN{<;Aa3T2Y-gg%sxC?YwiTi zgmkm!#w<}T$eR&74Vd~vU|uHUk?Tq#v?HYatI{M4)q~9^-!8f+$IbUE{JC($yQM8d zf;MsG!@O`!V80>bCY0f9Es>G^`h^Sh*#DO0|BXKP(*e6Y#~cz(!df?US2=ghQv8?2bLZJc}lyylqX zK9BqdoF4f#r^TIAH0hk8f}E%Bxz03grYk;QnFUUcv_Ds@Lzv^q3rVQoOX|MMFlu;| znk@FIT+Y)#2bq6egyseoSv`ly^I3Yu(scfOnkjA_Xg&>6qLVXE$upF;=bv4WXbh*R zCejN`?GoFRO`9I9kxCx>bN z+}cXxCHO6;h;lmKz2;||X)JxS>2dwFubl@I6o%>=ojzWkY19leH20jZs!wjn5D`Yv zfX*KMh$Y+LWTEb(#|n|BBWj{#O^}D3e43805jZ=?k)5NlLHt@H-4bh>QnO!9zGw+c6=gqeD z9vz$+Lw5U4o|x-Y_#t=arCAS&x=d9fttx{-B#n>Ld8hiy@@c=9craQ{mX@>$8MRav z&_!cEnUsa!`T>N}x`V0{Xo&b!cfYtV-GPMYg!@+2o1Qduq8HcF^E={8nODqGe*na~pF(hyL=b=&lTb*iS2Z%68*94s)HHN`BhOT#PVy_W z`VY@m&k^=PQ27ShMd(rTnzv_F*^3@Ha7uB1lWV$K=B|9RABM-8?p`4DNKbvsnGJmX zr988?FX9&6SOOP2!t4fT-KKS1w$g2hZhE(Xl7q34X=dlT1+MW+D-+1?LKt@%zjFni-UoScaaGm{++$WkCURRDh zy#op?noiThbr=%AN5nWeHEIK1=0d0EYT|yKFnXqX1?0Vx(|Ltyrlq!Rd3_0B@kCTY zw4vi*!ZuFL0qq|Jqf#V07DHpe!AvuH*CCSCA&t3oU-!7U6oZP$F(#!maRTPP!k7Gn z*veI~;(0T84Q{vOCf7%+OP_Gx-Y}o-W{i!N)5ln!0cjMamkJTJc+y)v!!m{h-}1Vs zrTT5-3P@T#mv22XT%J+kr#<3!=14+In(_yZ`W6AZ5K)a3XWwny^O_8T@eSS5+b5Cm zN1XPR!sx7g{#Wp zh<(nLrEWg@(I!@}nRR)3aXBv=b1#)nJrMzmgwOkVa;6-uQfcA2hQ`i{#+GUfl9X$A zn_ui6V_CCCz2J9Qt&3BYyCmtHJQpP-%m(=fXe`ok>RMAYSMEY5u1}h4H`wFh0Idc%P*X{RDxi7;&)U|Ay z)mKhXIVQc0yEc)rrE6#?0g^FnGR%?ULtk?rCL?gKSKrTtZ#eO{Jyf}lhpNlR@IckvHJauxP*q1Jvxmdm$r{S zueG(!};FWgKh8)*FQ*7{88~hBuyBj`cw@mXDXMPlS z=WRgP=Rv~1*}mYrEe`<(?-)oG;`oQr!7o#xLc9O-g8%pC6aPT~ApY|Nr4a9S|Eq~# z>D|2lUrlWE)QO!B{ye>({R^!|{>xzPKdKCves;il{i>Mdk?CbRz0X6ItNu39`DIl2 z@@l;bqNnvgeMr$?Mt?6-dg*sx|8Drb=gK&9OvJ$!R*WpC`BgFmVk8wk`#Cb+-2A%6 z4wFc-=Ej*;OViH~yCVPo;B)gwhRtOyJE$yV2s)qQgfmyx+tbe1pb z?}7?{y^6DoQDN_2eV+FIo8ix221egg-|+wX6VK-f*8kNoY5=V-S_q~`OMm{+RfwPX zrI0`8O9FG(yYsGH{=Zd!Tcv*)iglMh+OUcT6RRt~cj4FnE*eo3xUv?OhOGbZen;97 z2v8}b$WeOu>sM>mtYNXXS-HBR)nDfM|8@uTD%xldA#R1oyZoDP5ByKVyE=Cv{&9** zGz-33{jCv^00n&n2@|)Qn;Rzcm7$EN3?~_6BKzGPCI%Yhpq)a*{)l7~MS)2E#wfBv zz3>z+mbfjkP?kJ8oVsduqUQ%9f-$t+iL%IWdwv{oae}neEF@c?*l-XED}2oj80Ftl z5hN%Fm5>~#=|s?*prpSa(#RT+a!`OSiGJP6db1bPQuBLuc4Mo|D%!LgEef??fSB#f zn1MFzh~Sb`56J-~s6rWeyM6jdoM$3HtlQy@?xZX%pweRI2O5%yVm$#in>qmyi9p{H z@;;9t&SC4oKq>Eo}9!TPasq36a`4V)I!yt2&^ClsDZFnIxIdMoSfnSeQLlDfyydpu~Pz? zUBs%0dJn3d_)w`eKW@7>VInXBT^)W1rNhIi7aBJ1=66^2#LcgtwKWVvMyL$ZZ;P`7 z+<5Bc_L!Xff%vQtb^n8y#Dm&c12`LxU+oipa@e}}OlLBb2Ah-?ArEBqjcu;YKxC!( z+^fMETc)Kx+&m|Pi-8wB4a3c6jD?e zK}2J{9=|^fcNAX3f#JsF=l0Hcgw${dPV^B;3#*scAWz(fZ>|XUCT0rMCQ@=kmOskg z1!~kg$2NRpr<)7yCE{mNCEfu&RDCCan(~pb8;T&}j&@Dx5)j2u<`@iTTG@EcPOws_ z$B9k|R5;+1AWEr5vw_GgQ>vXt@}p3FNNUPLPe>`vNS;y+#YX_u=j^mszM@)5%1=q^ z&^X{&JpT@oh5Q*|LD_ReZlt$xGm(zWz+0Q~m=`g`Kukyq1qd}9g-tX%z5>28@ZBPA zL(n8jNzGXPBC9ygei%0O;KgnWOJNeV|Jgt|ru z*Bb^AB({apraRm`hoH?@V%!83ru6Jx9jHDA!mtyd9JU=i1L0eAOR>Y~#htTA2ts!qI%sUN zx+_P=d)d?et4{o>|H0yGIzFR2#B`-^l&H2r+=H{+-YQ^@gos|jNXGCO4yBE6W*tetzg0NmK zaYAtzH#Be06IRH90}gRFlL{6}Zt5(YA9IHRKrF;T`oSV50{^&moBBQxu??6HS=mLo zuk4x8-(R$tegM)1F9>6t25@Tdf#f7nse;=a5oAz8NQT2ae6VK2acR>RCN?@_atsT5wwkc ze8Rn?S8e5aCYP?OTlvqYUwuh=F6eQTzs>pw(T=|y@@ki+`Gw(faa48XuH3xJZ^yWu z_j8)_zsNZ~SnL?L{r4CACv)3;>Ec=KZ^?}8%C-K_iO^>K3hmN=ctJA9%F20LgoFFy zm#_W5$n=WTE;anC7raulYB>83pRnYxLB5d?&-U&01{ai;R05a2B9SS{tJ2b*sgyse zA#O<&e~kH!7R-r=iw%ACK_d2}z%q^5eWCR55DSta`-$9_BtPyx6^bJ0ZQ38lj*>(= zL2j~jDS;m93?+H?8eUeJUiMYVfBxlWe)-&BI@4hhu74~ zp@_XC)@3AACy1aPIogRF2U)5(5tF&}p+`51lh_8~ft(^CAt7Zx`))v_F+Rh*g`L={ zybk(Yk-dEtZ2htgiCi?ab(;&_3Y$8il3a@{jY!kk^uB>&`MTTki#VX@51qRSS;uoz z_BbXH$0HDAj1gSvq4L`fjsL%B>ReWYfv7TVal!Mc1&o@==8KRE)ggkdklgG>eGBPn zc7zrpIooCcDaexV28rhkl;srRqd7rb4j})IBbrE20Ktm^CczF3BwPP4!abK2)gf|@ z#DaxlLfl|H=?z3x^XxAYqZzz)6<$I7KOrQlYneakS25F(eMu6z0hO85%Xn+ZfZzA% zfx^}!Or8(KB^6LH3Il!bFbJVGFNiF84lJ#ls6(*lq9`Dy@n3lR^i(BsJPmT7F%vyr zGTEU$Gt!!^h~tME{`$e;Ad=NUuZU!4%tXf@da_UAe!BJLp4TqrB-|wSCgLVisE`8# z+@vUZKT#=0f!MpSP@p)J8s`B$F1i*Zhqnc^?H7^8jzL=aFYmO9)e5!%`nh0uZmaQw zD;1Ss2S^#4v`*rScn$$lJ`uzn=AVDje0s|Vy~W?mG|>X1ATSGNAY-+> zv|}r~(jDkKG8@AlFb63{I3J`W8t@A&B&Q=DEAV;PDX6rv-GkN4{DdwXhe@YE2Gnu% zc!;`AnCR<3_z)Pqefm2&WQla}x9jMmab4_6(RVOWkcgDg1QDJZj=b|^_HYvCmrD48 z5R5r8Kg}a`4s)JI{!wBJc}|WGK77Us`g0Ipw5^qeYmp~0OeCV5xNXQwmBRT*DuYAT zcfSmM?%4X$&xP`;;FA#fO@=X~p1ZM3sG!*EZDi&IHc6bXKec6;2SEtkLbV|BOJsif z?zkXt1O1X}S2J}Bm_a2OadAWA=a|Huqj4Pd!ljE!Y^Rn?%#eR3VCNWP&(TY`<^gAp zC$@AL(jZc_50b9_=b;CiS7_HnY@1(LAW~B1%^>m9wfI$^;6qlw@5x-9sxEOwF`TJQ z&{TyxjsnsRYh*w$xeO&O{CkOSM7`1aHxATf0SO6fd9s6af2uyC60(Qveph7h~#QU(5OdYGHTWc!(R9{v4D$Au3kr+Sd3QQkO8Wc|8U7(}=nWaO2RF zSuLQuzCWF}kYZegKYnlbqWw1cIn5K=X` zwBy}>78g4bBwu1vNPLt^=(FGLf;=&rX^D_4lcvJFB7ukyV&C~x zw;^~yDqUbIEO#`JW!RQ!<#>KuxbH)GgGfAWVZ==%$2tb_C<1j|AFO(yi~QgatgR5J zO|VX3G2+Ke6rRa$JKSDgUjAJP*|T^waJQ?GlkoNT_b0M{aG&Ufa5KK0FL6Ld0ZHVl z@h*Odh0HOK-6Pf8pey4SlVjmCJl`kh=FcqU4#4;z|#}xQ?c|Sfxpj#KZ>4@j7k;-Xb%%EuWbY6RffVwPV7%m&?8Jpa3hQ|H1rKnEKalV&@lLCk8Q1PyL>42fn? zaP5Twg$hz_4!<2iqHxZPgFRjxs&!&aL1F>)6Qzm#D;DBCc(oEcYBCZ;jL9gNm8|4P z;t0mhNk}~UGZXDPyg(60-eZ?5Ojtq$y&zUH&{f2o6ghv1tr;oHu!+m-d|$p>zMa21 z-)wkm0Z8QA4ZGrTZUlWR}nWK zQU+mg73<6Fa7{I~?Sp_P6i?!bogh?0$-ET_H7K-osn(q(>(XJ9jk@qIGcl(mj~%yY zlB7|v?}ZZe9nc}j)5K#SfJ?kb){A|ui1%qu(-sj(XP}{2OJEHQSC~TP6l*UC-an79 zTFRggfF8Xf9zC&4AQcvNb3Lv&k{o?+LLc#9fsI)TV;3K_VKE z%3eGg;<xxb0R!ribcuO1MkJfqmf_uMj$*_J#WJ>{*+>cO4IK?${ES0Ck zS|PP32>Q)X>?Weefjs)xQG3zH1OvZ{!*hT*=owrMKel;iHoiw3G?0-m5&visj<6jX z20vkqEg9j z>1RT!)Y?St!`LZA%ae$}6XQVJcsw4IyN|GSh`TcI0YzN)V>3b1`77~JN9LO@F6#Wf zUeRk&X1vLyIwFqBLnwU>qcp+rnFGvis0=CMs} zQ_bBU{>S~h`>nUOf7j&1DF>ml7n2?Iz>zm;<#FE>fnDmU-?f(#>g1izv1P1bk=>aM z%(EYe7sQgpoKEg&^d(wm#HpV8=hykT)q)|KxwZ*V(`LSw;Lkv8>rt3A5I>f2(;2wm zB9p^`cJfRHl%0u(>%Bgl=ZV}f%u#5}$%!ndFFLVnBe^{sPYzz=yrUhb!l_>fOb<#Y zR3tVmm|Q$Xg;|Nol-8$L?@{HP_+d~=0b`NGB>-#fb->xrFs((g=>g2te7wS2{tQ4Sed4 z`-S7|?n6OAaySI)W}|`cmLuzK!}m57ZM}xA*AF5SPBwR3os0rtM+-6V%g#fByrTsu z=pAN)#{;|amd^00Bdh8ylONc`+`lhu6UA7<9BbW*tEDE3=9tAK4>SbNqbXU^) z%Z;}h?&l(dOa0^=$d^>_J32YZpYhyZ@rmlE=4|Q&+(J$n94}S4%&Ud${ISdHw1Rq_ zOGSL|k`8l?-F)G-|Hwn;rLa>jS=BL^5{HZ0(wBZ70g1I|rmRO}H@N^)`Oa!ydw%E)#-+}^ZirAdb#--WhxT%f*|$M8P6;;4#4>9sB4dvmV-v3xd6AmP*;Pf|fVpOVgZf(yi=4*5Wsm^d?Yk%?FW z8|2ZGT>wbC8|xxeBXpelL36X9vvy0?i%uIn&0Ahf5*Dv&*ZJc_1e^0X@aqO_L(kGo z^Oh-%ft4$1frq0|7t?#;EGJ9}0v%v$?s@L7g-JXfLpP~IE!goH#WtF(vcbd<0W_!4 zYdB3!M0K#XPjw#$I>wnClC6ndst?eCmZ8=`4!O!oIqJl-wM<3EyON$G7!cbb(h~st z9knbLmSJt)#01w|@W(o>IRh(v?#8w`si52CC zpyFAWdr01=L4BHJQk1jhzuJy2e8n^eDd@4p2$ng z4g&FmWG4h#g%7SW+IOV3z}G{mlD~}H!g99hA|QAey{94G6J(mW9h0*VrVfcHfcsGi zk&}P`xPXU=rzTQIa2WZA!%X3gfR#$gt z&#}E?q5CA)69Wuv9ghhuRHDS)9PZUixHU3oYv2N>`al|wg*&V)R>rLfEr8wpa6%%# zh4|J0`N1d1RTKGh`2Ay_n;Jqxo3zhA!oAdHuH-fnoCh)x38ZYX(;U`9bK zSOL+%@y=oeOp?c06DC%Gv#1#k<3PcPfpRZWIARtoDk^%9_q;6Jb&lYqQ6T_GMHnI~ zSp&q!8h=Ru0g@7udX8jpfX_&V@xE)4c>Tii^37Oxc{&ULNi&Gl1Q=)_H34ySKtDP2;71|Mnpq91+2zuL}<1&3LSAob#cS`-eNuj^&SE)ow;$Z>`Na zE7{(vRdZhusK0v=eBn&Udi?(l@b>+efVY;K^*;jGe=TD_lSY84Tm2(M{sj>N;tjxC z?F;by_uE^3XkNm}ZkKLN_LSRv?&e#2_H4ZLvwks0w1ZJq;O$N3b!v6>RljdDzbK^K z9c@zA_o%1#%q8gq@|QGX@9kBn*?8=g4_)BT$CwY%7C)9drWo8guBX`+Iz3)CU^9|F zY?EZlDLk8H)txh{CM`=zw)xI>sNs@)#`t=e*HE;aZu+4caJ>l3BQ(qCAO#GOW zYfn@Cp2l=_C+R6&J7%o^%KiZJ z=Ptp3w|Nd*#&r9^TqZ6M= zOoIW}{Bk4z-3ucB@df|65Rb&4KKx&J*NlJnu5_Gs74BvKxlw<)1H!Vyj!sVHC{2;n zS9sf74FVFs?d2tF=ZxriG9ES%x$E|>-0sWs`pso+pFY{69VUshf>0pM7+2_Fze#O# zFTSVy%jk6z01^#2Wef&>S$QB&_n+3x4!U>m+`!MD|Hcr1v!Y}F_FdJxr+NSR|5a0i zj}F=inm31|yEuTPP3rV%C7ctJwTg0mzN$L%Bt6YTm7Gf2q#*8FBLhbRL0VQ;mR%<= zi+F^gQjWnfsj`lGz9KLJwYz2lylB@_6v+F)PUM_@5*$BF5%XtZp1hTwp548ecpQ_) z$Lh7~l~7OCXyf3a$5)i4E?MHhJp@o(J*r!xQVL9`7tozD-p|vN*eT*#k;ZH1TzL0~ zp1ywf@NgoKgIJWE{q6a=I~f^Mow>8M_i=E%vfoa;+ljLo@**Qtl*CcweP<`3`jccG zPKn?W`Y=Bbbx?pIRyFdlEjxCw0hi{tXjOZDeVrl@Z(a``ad91q`HxpJEZSm`;337= z#LEa0M+hYZZX`z6W5O$NWtUFk-CQ;{He&aMC#!EWPwH~8WD01DPVkL5256%4V>2)= zEu`H_R#qu>*;lWAQ(RPZKvYxAD?mgsT1GJFX z!I7R$A3bTxqThYi+3WUg1;7BvV$bi?M8gKI!?BHxYH_Cf_U=t{nX`qPwKi#{7*>WP z5WLntG*9gqRZmZE0-m@gz|~bs0oW(t*%1R)jF)Dkpb7_c!MQYRDo4!o_E0wG$4Qu4zEWsR}!ljxTYz-8;_?Y=+QSET6_9xJHJ!OsT^*N&y%%;m4$*=4>l)(ZqIAKvR)W6MoYFW+@O{ z9#S{TG1b_hoUIAtcw*A5@_h*&b2OAk$@^{Ew22SdAq?UE6mkQ4=`vm+NF7d>2ljdm z*_X#SsP+BT5$=QthI9!M8kX&5%y!aPPRX9JXz_ss7NKd9W6!rapoBGL>&PD^1IAh zyI?)t_V6Hhr{_0zItf1YDCKLE#RS2V!+xkijNzcn4rO+rDj_zFWwF;z0`R;S5D*P| z6a|P8X3ylY`&lTUepG{N#6kfs@)#Jpo=pcJh!`{zN^*6Q_11ho;&wBM)?PP3ee?2( zRc%8*iq1C+j3d{8U+Un}6<1^ti}bNS z!e8f*ct?lf?gX^v)L1lYNOg?x!$JWd{?fV~j>5a~m?_opnzJ5kOcvGN$LU`D80qy$ zAG;5OfSJ+c`6;v!&Nng$rvv1M{u+H}S_0=G(;ur~RJJf==~feDSrF3`;>7h_cqQEL zl121EHBB7;4vCEn448VrIaN@95EhNd^!u<4aouM={4OjMjYUok&&tYbz0O8)ob8L^ z6;q9n+N$piJmz!{KgPdmE`hRjk9jMb!g196udG9g_2dg(7d$GBJEV2ueN@mxgRgHq}Y*fozyHsnk+unq2REoBMs5f?$Mh`_$ol}mk*ua#-= zB0hyr8DZ9Q6m1XQ;JeMGlV}-`@&INb(WC*7V~K$C9_&?fg4*RVuc*P*`TcE5w{G3K z|5`ftqJ{?kOT=j^KHRBtaBwi#fWx>&I9%n2o?`mx@>rP@&6B*b&G~M!Qc|~h@RnIR zt}_Ol+Br(-r`C7S7VTW-M@tF3irJPJR2{@;S4GTmIhKF?^te0Gp<5(7C?kb;AL;XK%o43gF2H@Rm+(wds!pxy>=J^tsU!_SxK^yYB3n{2<+OLzVh zhLMFsEx&RdL~BX;(a~#!0LjA4d;muanQ#Dqkc9$Z$q{zr67Nu8 zIZ~*4MB`u~ff`+ALUJYaNtlgENl8_s$BW&25Lix?;l<_BW%nfqdAjdgUf6V780PCJ zVz#Y_t^t?>9Z>&Ty2@Z-MUp!GlFY!!h=R|eTOd!e1aTPK*OwXS`f0citG|{&LCzza z&&6GDucV-$U=2nq0R!-nhrG6<`-V71FJKmc9*kn5=~SDVG8qUF0;vTBJ~tO%&fC z7ZKI&ln)Sh$q8|tHO`0cJX(goMvjL#_Ot2FKRn03{ArhiaViQ53#${<^l?~N%>$tN zzhmvQQV0ftO7mQ>bj#y+;DA_n;`k zBnF7i3t6HvCZ{YjA$Y-#*EJ+@^nf)`UplwZ;_dhMTL@aT8hIdt2^zV$lCDhcZxFLX zA`%b0zO11^H7S285ZqH6G(1S33-Y?uaAJaq@?53CW~jL?`cv>PXa9gsKgoVbXn6PT z9fC*b1n?qFa~QC^W@KSyEr0foW>p28N}z-`Q|ZQc?#0h6EG#j=5wcyvwc>yzmUuD7 zVb7CvinwcnZyFXA;wXg^wg!hl8X6t&Qjp5=f4lhJoqNpLQ}P`atrC8nFcHyuJq66M z;o*@hO6exb!iNtZMDm2Nf9Sm#d_Y5-$6iYAVqLz|DLp*1YaF`HATXltC%^`AX7?7K zJ<#R=M=WyEsZi7?nmnuxFd- z_ScOCC156{B+-#^xpT{v?k>W!G!O(>K@DKliCXuV9M^okO8bz*Z zH3<&0;k_pO~xrtVOZuZZR!Qbv$mETH$d7^J^ z@XJ5^lFw&YVAbZwJzTp?*Ymj~$8>nnjPb<$f=rM6^=V(bJc*~9c*4`f6hGByDJwPu zjNvXPm4PJ^r*@W={PLgAEt>#mOj*pu0?xQ|ZQdP7|7RDs{l~37+mxQZnX%H&y381M z@QTAf{8HEF2OsdW*ynF~*zi$b;y=CXe|^CclJb|2{>v|!?^sy@hd=zP`)$qR|NdK_ z^U_tn>~Z|OE^R&ha{n(N92{O;(`MOjpb2)%Xl<}kzo!rFJ7>GrR~V91RE zNi(x}!VV_h=)mP`5H(SWb0ME4Wta(~Ok%_S&v*XmFo@`ygdzwDoCGgj@We?f4hj%I z_|~3`hXop@g)lxsaCq=PG#R~76p`AFygMng@R3$^a{*s&TrL9fV^A|HPYt3f*FajJ z3>?8`{?kP={DK2XBkRH=lr4NX`*wEhLj{L=Iu@ra!Vkz_f@0IHmk5AC{5g%$_&^bM z2h2pY*c0s99au}JcYnF`#CVWwmU!tv{QHsi@V}n<^eGy&zy6NGLQ*}VZjO`m-i2z< zETchAR<@p0Dn-Lca3*nbX|#nAIuVMQty{N7piLi53PAK_yh1v;b00M$^_v8(Jr1#% zbhb(V0zF}k3N-MP3fkNNWT8O?A3QhH`J^c3(dgeM>OI94JxC&kP#d~n;2Y~K&*gB8WufBNk$p< za^-tURnHM34DJsvG5jP00NA>9IX0&2b{slRKrxWD4&_fFNh4cI$Nt?K(qklZYwp|y z(J0*y;yZwzbPp?(q>bW@q-7%>E`C9FWWrsErp9DydYc* zeJMEAhD9mpt#BlHdwHqgmXaUg!s~>@kv8jl78Mo!G$QOeZ%?U4myF+W!bogkq6U4+ z5W?mVY_~s#edqAoJn2Y*4iSlJSQdGPYS>B7+FUzJGLe9~K*de`?Af!z4lBv`uLZZg zy#-51qGn~$JZ_v+F4dgZgH9YNQtH4CB`mDvKH66#q9En;V72D*H*cOfe*7xQ9nm}^;e>4Dx?qBbA*~~rRoy6|1%l_)oMRJ*`M?mSvn@&h zZTQTa`A`NL;cGkgMfe|jkc$zI;^JZo6|67cPA8Xz$p%6!q+&tqgG51UxAaRrvdF`g zc@1CPxpHi_75Z*-6MzXc7sB^)amgYQ)ggI9ftZBQ(j&BgdD%2xKk>mVCrI63_==E- z2)%y!YWnq2w%^^kcQ%n@Uks-{3mfuh?3h|KGP?!`&30maB@lWQkeEJ_z-7^U^Cy5HC{yGvBg$4InAWsqBA}Dhl{p4kB{du@tUh#xeXWzOHotsH zNy;0$4RrJ%K_sajrqzCGEq@@`HD_8T0jDHS30O= zBT6xrwsOU0(d;<@8}u7c+?fG!ZWK}l`8fCr3xCE>(&}VNVR;yy+W;ZXXu{uyrXq*9JDPYHFaZw9sSz5+xmKI4KIH z3SoVsguyaA=u&stR?NUspc>OR_OyC*j@%WXm}CkPa}LHkEt}I~fQdX>YUHP3N+GVx z0@0W-JJ6F577{W7u&v@EgF-qQ^xj?&tI3+Xv}L6w`Y}3uD3yVMAr5b9AR@Sbe+gY~ zcD8}33&id8wLmx}yylv0vP}WSZrQjI5pBJJ=|b9AUXKN~5)a`ZT)#vRW`b>C)2W~= zWN8~nW%&8$-4tvui|e;!@NG}GteM{m>C%%JIioUz4lDj#7-t!8Gh0_A%N1sXsWSHD zp#JQh5Z;2B>fu&a3gLFXdwv5DVE%-{^>uOXFxTcToUe{eV_e=S_QByY8SNePQ?AC9 z{+ONB9Ekcb%^U-Y*@oay5!RuTW=+05>eX1f44udoB*E0n=$F|;(b3T%{bpnwXY^O6 zVW}M0v*!pEp4{H2=d{7Vl)>hDHSmP#M_|eQ5btB|LxRw^DZZM<;)4BRro8pRW`bUR z%(`;r%4o%dsi;lV31FLaowW+19wr2JR5tF zuf%vfM4eJ$CsmDB$}S-Zn~s!t_M5zSdtSDovq7J)w_&HyLw_Ad3J%vQfR7Im$$RlV zcIeoFd#WFtqo`$wX3M?vqv96T7AI}pCWnDJdt9|N(R~+;^G(fRp#CEr!UA*2#Z44r6}( zJzkR^q^`ZH$t#t~OahkK$%}fJUO;Nd8@wGlh``qpa{^@+W@&&kKz$XdaR3rj zje3{mWurd_>sW+?Io2Ghg`v=4iZD+a7s{cnNQU|Vgs398dsKf2o~W|1vML)7U}BA7 zxDVzJ#ch7{1~c2rnaPZ)*Vbq+S0x2a!|t(zc)A;&(+OR8817`gdB1FM z09TLA_y-v>s8F4+)dgU|D$ljw@ba4t62hZg2ssmN! zx9U1YP#l6W0!T_gs-r$UjDg~hA1}xR{BnefQNOcV{u#Fg_W`kdl^MXawo+_57$lwp zeKZZ;L3FB&jD1=>Yj>SA;h#i~?|IzP(5hyBrE0NP3UL}1CbQSo`5htPKR<+OD^l(~ zXurhZKo)VCO=Bh`?O5PFb(1*v!F4BTg6Hvz8erC)Z08jb(OCWMPjA2qBy-yYJt4gx zl3SqqpioP^nJm*cYT6ns%uQzhj4lW|o(Hk9kU;WyA*S>pHdgUgiiTlN69|HIQ*i8U zMeITFr@!QlfpiR#oOkrDT}*OQCg2kJZLBM#(B`C-gM|a%BO4n6MKC#>#v51R;3wS! zFz+=M9NI>DtHQj0S?PH1?ja`+(xlUK(~w#@bLRSj9VUq45x_o}EZ~#N^^(bC=IvXz zs(_oMTlXo%38Py|S}b+qTEae2zN9zk*dG&B3kO#;z4q2PVDvssYQChjG!D%eT#7F< zp4tAk>pC%5mY7nnzj1r~YW8(7%gQYM=J{j3rZe2^)3fd;9XhLhc8V5mp2*Cg3$uFGhDaX-ok`m-b5`hSN zhneuy;nqy81$&f?9+MK0aG%`fJDF4(SoZHXng2AJgJb?!aUZe`4-9wh+rHiZh6cAp z8m8`14Ar5DLDHkJt=Bj;4xO5wov)8omL@0?cs!F6HF69Q12IGgVS~i{8Dw|@w>B;Z zaN+ZRh`ey_eEW7cdQbWr;s?oW0YI?(3E4zU08bN1WN+)$fCy2`@?S6+M9?X~sf3@7 z{#`AMT+!g^N2WyxWF#WtxPeKo>zsLKGnN_QIT8^mOi);(8H8P-iZqzW({Se>SsYhAgltO1-^BlbOjaZC#&%plx-pJfv+&z(y za!$jM*jov}L*p~s9i@S{TfwP{NN>ce@c=0#ZFlgtT&`E#ME`jM-oRO zkENxh=MLVJD2&b|>lN=}FF-lbkFHn}NjJ!XJoD%%={90>FqyRFsbpIj5Y3G0d?_7G zRy!6l;za;i40$|8E);XhXD_=#_)Q#iQNVmpVSOv&Xz-i?q?>#;ZRODac`cz-+~L69 zWXo8;HwxhNLDVahYV4VC)OAfld&4I)3m0TCr5*?3nn!zCwvAw?%jCzKqH}dzfSxj2 zwSH^{^kh5RYD17Hu5aQA31`UYX%B&|)?6E(_U05*4D%oyoNc2UtTj!hMk~pWWSDyO z38IxWYhcd!r~b3)76~)Pqlxhj6#_%jOso#=eqXuCAa>SZe5MOeo*dyoe9JHBoIdTb zo>7FkPv;un^7ptrf5d8g(|Z_NqvL#n3N}LwD1zsNMvzFa0$nidG zUQl1?=Efko45D6M`^Y81!KZbBwm3gtDcbZT9;X1Ri00>OC+Ns5{Nhw*A(^m+w0k`| zvAn?zXqXadIV&qG$D)lZne^0^F0PacxGRIeT!rI3-JpCMy02RD^72-;wkpUOm5@Z* zKxZ1UdDojc7KSAe>Y{)S~;!^jB7@mC6lxMf48tIPD4~wp><8LWKPAf3#PSO4%!e?gafKVNJk zkNdU6T*H6Gc3RE(zqpQo;-k9Xrv6(D(%=hd|N2CGI+lDz`fdqYvhUtCjD%(jV)jxladP|Spi9hG7?@sTWaNvFi~^Zw)LgYB*sYqxMAs>jOJZ z<~|^>bvW{WEB~3P8KGgaN|LEbWChDVcXzeRj??a4!~2$oY(JxX9z{v_7q*711ifEY zHy;u`nw*?WWk&apL2@PLJRKyLkMK_o|9Z`VfE7Kmj~52H%IRRxMM!6uLm{LyP-VJ6 zIzy=xjdPS#^Q8CxE}f8YaLS}(!ciNu7~g;YJ>kVTySUUv$uW^61CSJz8Q_&1VKt$G z4#P;PdP3*O2+@b4C=k^{D2H@jV#f*CIgj*le3t(ln}C1{34=(#Y~B}rPv|{BGzh|q z+ZzS!C)TLyu}Z_aiC|=4hf08|Ix{CPCkwmJ8)cj7*!s4%f%;CS?oqtQb>f+kEO|w9 zhY$?$u+sxC;mt{2ORy6WSHQ$*zaK~Dql|QCd|}5}3$o$~^z+bXZSA*LQo8r}@ng`; zzasP;_;=)x_BO+b71sAti+>LfA+q~fbI%+G>IdvdnhMq&D|+tIpk1h5xbOs7d=yUh zK9CXnhFc0;oD#HiRj9RaE{DOn?a;(6Qz4uSy}VP$_}FMo!3|EnKMup!Y%?1N#@Sr2z3m^zZy)))kVrM#Pzg-(2prM z77Aolq;i;7Xf~Jg&I-P41EEPCja_Ou=>XtamSkf=#-Re7?G5uL)Ob``Lr^WK6dm_q zHU_ePQqK-FGm>6kOu*?%il=qEMAeYg%Gv2cKmejKQHND9niZ#y%TgI1mI&9 z-aqLuu_gRmm_S;j)eg9Zpfl9r$tFzZ-eD%7r)A#g$(#YqT=DCd{3I+CFl_@&FA3}^ zA7(5OPHjCwqFzQ?`IKo5{&+LsZ70}m1^7H_u0?$?C*dtgAs9+_`Bzog&@JMHP^}#-86^66dY%u%|%E z4B=f;<#x#;4>BM`72iEL#6@7L)k%B$x;|Bb9I6xR+-1i7mT@nZ+(!t|OkW!%5AWu- zmrqFB8@#7N+gzy8@aIRneadPcVv5HUGrh*scJH`Ba7y-|6m1AP{At*W3&)Vu3Hof6 zE>Y~rxQ`k%L+*TyY~*$9SWEr;3%fk2_ZAM@+GKe}D#> z+$NYfenK74JVYNKosGM~Cki=#UNd1lX}vtQ@#N;sJ4OpGWBSq=!>e`9S1pM} zw{ErT>;Mw|03108!Yl+p6ZAqs<}jMrIm5lLT)oXnN6-UP~dlOAb5^`J%4Io0CM z9KX1wNO-SDNB5n(^ljz&en};}W8pb&y&(x8K5Y<4Ox2xm)0P66Lev%-7%UVYEpc90 z@98Pb0nZT7h8rI>*s*bP@Aqq@0|(`ioVSk+k(Qpsdi~>6jN#EGSKYXGs9rYhq}P5& z_ZkpOx}tv^ks+i-sp0$3efqWP9Rit4)m#WZFnszL?yl$l^1w+~6%ebAQFI35?6bin z=XjU~&6qZSL${L7{VR)~n@>M`Vw-v_&?xUZ_39m=scw)9ZP^iw@XHm56bCkOZXsIN!JvNTN@W%_VrfePhy%yaIh8miy+`{;4F4Ksm@C* ztpf^05W*3hwbGuGgFxo3^0Ue_A8u0jYpbbc`_hjrIFKIUnoE#B=zs$bECHrZi(e0lF$6rLT>(uL%kk0#l|FroB4LW~R zRUdP5Hc`=wMvSy+1_Uh1T8Gu^Ch5y>)oW*Vj6EC6JZoX&^B8bO`4&@}<(#gvz$j!_ zYH1y-YLeX~`V=_A3;~iA4BT! ztwu?5q-Z{9g2vB?HYK{Cl2UGykgwa_H*QRVE3L6u9mYJ6$*cZ@N@BG}6)mSm4j6|W zg=}4TH}ez6IN6PJfm_KB=+-N%X87orvo)v@C+;(2n?W>~MX#S%A_}7==e*HnM z#^;ayNrP!pTII1WrX?XXazoF%+b*B`o1glHGP1XXmIS8--s-Of%S*^Lhu!PSJMzx; zKzDX`ioMf3Da>X)cv?+Rh@b$oTSBI?`)Vx=8smcx=L(E*vdSI#sn$7J#i+*8p02m$ zry2(8%P)P;EZq4&WJ9m|nZjfF*Seu!mg5&e(27+@{#iBqZ&WtFZi!j{a7(xY0T>&W z@@w3F`-PnJ>r;svfC`*|mmKHVAqLhvF#M zEfhmz;ky7X?gtMa?k%x^1olz4F(o_i$WZ(4%J6E8iB9Kx)uVm^u2U_g5j~stqMu3S zgeD=ohSIFI)LIZrh>>0&h;Te0e-MrpAn}n=rFcw1YfXL@uFEVBXptj1Vy+grz=$_p zSpqRXYwuAb@uMD`ppGZ0ZE7?v$uFiTAA54U>5UsVqLT03ySLh_-A)b zo+yCuI!g?s&8(UR*w)1~)7RH`I)|?`fW=Q1R9n;*B*Zfwo;my_|2ZKR8=DE0Bg5N4i4o*_(Uw}N04-fEqOM7W6JfXx#-d2I*rAI&-Z3m)g zoTLSro4I|c4dl9|G!tn3Ce2jL8Ju8c&c(P@Ju-rgeEhm_tW zArsFYKh1%wRT`cF;v0@+*n}Eret!0(cMs1Fg>+;D=4X9pw;u!)Pqm(%;*#|0YG|~h zj+S{+!myHlI$jbq#*Dpvk%c#0m%{0B93HkbVW?f@w(!#s{mY~9C86OzzSv>W`$h9< z354c$i`CHc+jX>9@9+x1k#ufa<`+VJ1O11zd#6*$825H2W7Y&xtI?o~o^UVV4SXWu z@TXp1baBXWU_x;n#t&yK^5kavkXn7`E#;oPeaXW!fd{sLQP0a3PA|=YMC!OnJODbO z_epPGK8p-r@^iCnY+XeNloPr)T)%#OJe5EFUv7kD^nPwVlP19fdPiC*nf^K~9n9;c z0#te>hfSuBtaXDnI1S*ND7i&`AdoO*1X%Zd626w~#hBh4iPI_Vfhsm>k=B_aQNHCk zn}W)SbcPP)z z+b69iKbq!ocG$6}eOpj+LO@v*9Q7S{rd@CH{B{K%W}ox^!Ii@Z@a`9V+)AD{m zqbT=XI1HE)UeFd~Aer-Dhu94)R#8BhTKr;Ni!;0TUEHxli{b^zK*(5JZG`|fb!KuGbm67|bZR#J?Gt?NS-xqwp+L$$v zW(V;|OGIK2k>VV)Nx0{ut<*PQ?8c!q z84|l3lW$2XQAW_XBX$)PMEB)ITJsf%Qtz_4$@Fki7pb zzbPJ1!cC{(_hbKyUAg!%5pi456!sP(g_uIeCB^*C_?cq06E2ow#1xiurJ9g05i&I< z?UrhtxAhBc(Pk;bb@MZm-fO0oAjKayuh2LXz3c{*fw44rH*3jeN*I(09^prE`AtXH z-@t#ly{+q+OnK$TkKYb;M=n$LgzBB#PoM6){>a^@`?XccVY#V(F@5pd{_-(IX51be zl$4dFe~90L{rou5L=eM@b-3Vd!Yv4yn6Z?Mx`OmCrTZy$9c89CuCoW4vpf)L%%vBy zI6pgpdLliu!NcbwJ?K+7h_XF_9pT7%EfJOin|@rVk7hk!z*ON^QjNE!#w0px4tU`$TcETIJlI&zmZ$xXK%odc*n~p z@IPt1orL&6H4s4 z6&eF=P1`;RbM77+0xTGn{P1DV$NAgg7|>n!n)6P@pe!R#?pS5>=O?!V&b_OJgc%J~ z;E0TmCZpNEt@9d|54;~-j@ua_g-4bY2lx3!Io7R{07eXNsjaEs+ z6$M(eRj+*508u@3)+Nyre9bfW_62mcCDbTiIzlNtQ>}Xb28fAII|DtJtNN3lf%rgiat+B7$nQ2G9 zULs^*_c*_c&8Z(*YUZw(GT@i;@?R@8&i$=YLts^6x%js4uT~s%9htoL&X>GPCIl~nr z)|R~h+iU(Q!Wc5Ha_&Frf8H99@VBkRKR@-KcjWSpF8W|o;vNMM@XH$ga@oHqQUb@% zR4;G8?q4Gnf7ZnRPaDmlBeI7K9^8u7!h@-L#cl$kX(Q&75ibKeKfw{uszZmn4-WM9 z;co#Ier_hK6+aEXa9)1a8R9;VCjpH3X2s3EZ8`&2SC@(G z08TS9OUh-ph%TYSvYR(+#x=IKHLXvYF@*XoXlj>5Y4e<;e|}Hoq@&SDnzK%R83+khaZL`B*31%dfkLtMIs}U zP(;mAw`Gp&#^9e88h74ml=cBf)W1ryEd(18z>4mX>QBUX!j@@&DQ7w6SbLxA=sBMv z<9;w(1)yW>mf*1{$J{66&**WZ%+0*t>eITs8$n@831e_X)J?HuGd1i?}^Lw9NmK0~x;y zM{-AYA5a#)KMCv~B;7<(9z$HyJ592Is{aL9k4GG26eTR!InB@*zf`;aiTsl~Bd)+D z@2!!3kx93GFv`h+WMs=|r&;8MSFT(UD>dnO^FrMIn6h%!DqB&a&{R(RAX;}4cBvxR zADobz580H2-%U=CzR1fQi@gHkn{g0_`BQbN>>Iti#{n!u*buj8Jf*j{xcvpxpVZ;Q zFK%lot>$L>&{X3gjLIkt1|Yv7wY*PthJw`Qi6!NyFn((#0a!4PryG5=;l)`8s6_Xa z&JfRrvPOrs{NV12E=3GqL`E)-FxXv)Dd0NdE8?~ql;5Nre?vG^p{NG3nwe1j#B;G7EKE?gQa2nWe zu@rdqK`XBq`eOcZbvE;2w_i`DYJ#3gs*se!&&V!f@iFok!Yxa>~E4@%--uNKs0z$=o z(``uTGr-zNhEtZSRl6}8)af{lLum!co^h#>fhmSIxUS+Q$@PpYgc;n+p*z78mqKF_rB z8}qyqkR~ZF4v?j*ZrMwoo)PcZoobe3kfzBQO0r|>uI2ZC1d9nP zK}i&RfXJD2#Kqd2808Vdp5F2KYS?7{na|eLhwh33(J6ReA=SZ~3X{ouykC@!_lZOr+lGZw< zimhO8uzToG0>7U0@sX0}xY%&Ctql5elnPfWwqxnp!KTG-{#!~{Tf<_ldC;uOQ-xrJ%JYLRe z#6wfm93YW%R2u=k2&hXeO^`}dMP+;1_5|Yt3kdrxO6=#L9Yz-?emvbr_iT{;&M6~z z72Js}DA{tl6AQhcka`4A!T4}|@Khm4Onh|KW}}vB*o?!@VNN_^yP3y>>GbO7KT^f% z`0;ip41}8oN(mhH{qtk-5J3jHrCt9;Y(=x{S(vwaSW;!;j$js$dknO#VOmT~3?-b- zQG#t@t=d1oeZ;l?brd^|_RcxhJjMUmta#sbzRtUj(}jM^0#bjo?lv@o<`^;52;@UP{X=t-^*|EoatqY{B30Sdcz+# zEZ|`(?{)>0ur%X@`c}1+In;Dh`y03;W7MSeMtZ_@o15!PenBMg=xO^$7`1xmZUaO6 zhB#9%TABe52{E^sMYJ$b^cldk|~=(Oq=4;Ubn*!1cSTMb;{K0sI=d>Jd} zgy3&u$b}BwTu2-q&G{@9_CGnrv1h|zGKka?naM3m-9;u%h#FrVx_clO&LM|8Q2dY~xHUy<^^2WSx3dqv53q8%qRcKmFI~TAJ(b|cp zL(TOkbw2;DBuM2?zXusgN?wu26+26Z!3A2B6Ra@`!p}Ky51WTj?eNSc`EL8*P}kP;L&@NV7l40VbwC0uZus{dkz7uoXT^`}`98Im;-#nbTqC z09AT5SQ0(%;M@B%S%>OAw&tdbqhL`4;RGgH11bQ>Hxn){68s4~ENIH*^7`>aM%;^R zcb`JFD0zaUs!XfqnA)PnMIHl@^7iH8#Oq01*T|kbg~@B3ms<40gb?%4rD0(vN3f77 zj8B^RkwuWuH@&)uv!r-FR{2UFGd709`49p=ExclOj+k|I@+{d|WU+Q@3Vf z|E?myCoZLciX1O_eX&uO%gwZJ(m0&eJ-^DBOSH@={)(B@|>uD2vdD}9%*){lhg!$0WXkiK$VdwXeB-(L1= zUbmO`?tgBZl$BV*7ny+N2V4T2yLfsIE#k*RKANS(^V_cqelKa9 zEB+|MO#V_uA9D*R*+ZCqocrGWZ`>(~Ub*gr+M5jolJPgV z309OG;A<70KkLmz$6_}4btN4k8@zhm?`l_5C0*x~Ul<5RB@BcOGYg-{Uq_y{ldX|A z$L#V0P2GBJUKCa7()vGpkG$&iH&6GMd;A6VYIE?vp?aUayXF5IALBnEI{%g%{>%RP zXOwg2A^!lb`np!CLGVvue3J<#h7b!IWMHGd>3JUX={F}g`x0YRlPDrPPqrutXgLKm zxSD{hidi6TAG1nv8b!lHZCB`5tW?RC0jI&gm%M+Gmdn$#Ev@J%3j=6%1~KByrC`WU zBHUQI@@LD^Euup;(Jz$V_g~>ojnLrgfHIFR%sV9J^db=K)X4x(1i5aqr9@l+sMQXK zwxcPB6{*y^GGvtFYUG_ecfcJCNhuOhu^?KTwlI#nyh*E3^t^C0>6$g8w9yk@J9xH? z52k1^66GCEcnp%f+$L=@oh+HcDqoEP9~Om>TLpn`v#)p8-^-|RQdR-ZoY{#BR}Yc4 zdehbGhN<=C8Bb47y-H|~ss4T*24uJ}4nSX+#1{%E2Kw?=`s5@kiAY^Vt#!2u+Tcg!sFr83WWvmEQ{4~|88`O1#Tnjj7s@@lt@9&NJ z6uWS8C0o|48G6wUtF}Y*SdX|DAx)RzFb_^mK1EqHlcAe^?^U&h#1}rbCD*zdEb%%|52zwnSuJ*<_L*} zEJ3oQ^#i`{W5?-VJlzL^dl(3VU=66z1WFVB9uxDnYW*j!Me+#$iKp=I z#Gc-S2Aaqrh2nu2?KOHrk;_pb%N!4>OjDw4B$ou-7wk!2<`RkLsDL5>Dl&4D1w2AB zn*KUWCXrE6hZ&s*p#CgzI<^FKcH2xKm+q)lK* z?B9z^zh4v@Q29!oetcdC*+EqGH27rbppXOE9+LGy^34R|`|@ms@;S^ZMkJLK9yxP0 zcHMdmh1BC(w)C*k6*S18zq+3vwgYyP#9b!*(7EdNT&E z0rq!18HCJAmVGF2?L`%odM~rGP6+FSecWY3cdA6`Rzib4LT(DXS6{$e*!vc@c3?8- zm8_1HKhVRBx~^nP#n>P9UeCqt*&PCsP#sQFqq9nQBGj2BZIG)EuweP zj=PUr`lWS4FVi?y(9C^C_6W6v0kHpa_{%-*^|fao%S%hal|d) zi}*079w2MgO^0FASqxryoi+!RA(!lIb_!CmF%StsOrWk0J>eiJAN(1I`-Pv`{;Ar= zq4xQ}nH{6J#XF9B;UL35uL}Sz1&H(Ktg!YxZxg|#ZB1q*7DEHPU4Y{NIC|` zreiqSeaENxTo${Q0)B0~?)|~ZghDP4t-1BZrAseh=*ezwu0I3UJ$W*3%AZ8p2L~mcPQPt?PXBU~g z-7V&!yY?O~MzNBP23#D8i({1EEKMyL0yiOQ3?aBm)Q)Ww06yN{OZ#gS;{VnY| zXBQ8(H8t{GGPGoSe|%u+^(2gI6${XX!Ka45o7Xz!u~t_9GB(Zg-NYK3%%^_8jcaA| z!KTHXOFjusJ_|-!^O5EAm)iPoO$cvV@@b1Q1Cz(JJzMWLW$82?Dzx3~=@;hQsB4QB zM~5zs*xh`5LU_WhN5g;q^s`e}2UIXkSlmY23AwB1JnO`Rs`{qQ8mg)mMi!#QQGJ>_ z6{gf9m7@VKZpZL`ehmWO)p)szyJ%BM$SMgjulEw%MaTj!MsJ5_cC zV1Uq?1NiD9HnuR7PiA{P?p7PbU*1kFeZoc1qf6O;sjoM>k>UVGIy#^pk@2EUmwk;N-d?70P*?eAiMER1DdwIR?FJ4Un77gO8%>lxXK=2Z zxHoDtEFvNAcsnvrm; z+_EW#h5?CTBMr=KoL|!1$yvClO*g~MzP!z^X>J&DzA%V&2{6kXX zB?-xi*-K}>6+OyCIAqKDBo5j0L2x)!?2z-nIq6_;AI~Icu@!$c{2M&F`>1U`z1lSg zN7I3z6b7Cx|0T7eJr)-WGQtZ(n|Kd{9u#Eu`?8AP>@G;zhxI zcF5{nIY~vvT}er|TWSd#O3^82{IncqW1)g?TrvO;XUwrkH~ykTBV#-^IjX~j5Zyn_tW6et!a^M&|$mtom2P!QFve^m-$`cwyFPbW?w)0U<2}bv5S=hF-Y0Sh zssmu|EAAxduNEE4+wARq4$Zd!6|`+2exg;`3<`Oaz+;OxOcX{ZlUn>qh;ZK%{3MLv z^>lG&Tli%Y)gx$kwqsbJIDO}Hg^U2yI-xk&)#_L=C zo&Th7m=I$=(NR)emjV^WA6!hBp73f;^3IB3792mJ8%vYqP+r=L7oSiFNy_Xk6M_UI zkx?>4&2#e3V>->vidK?D=O7u@tAd_oT#eJM|H9~_bLZ&*pGK-E!PnSbcCh2bI7s-T z@A5GGnW?qlD@s13S~t9p47x~mwKzK@gR(%D+Gi{OIdlNTJI`lk9ff?i}=5@ z3VdT;H~XhkAQatVKk5by+?AY%)Jpn7`r-yh%@VAZGO!F6h}`fixo#9KE!8{DA8)ky zDV`#ju-d7Z~x`1owZ)vF#ZMC2p%-omK|dR4A)-s@&_H%=ZdA zTVEVVqzp*wnq2BO>z1Cj@A%pn>!_$? ziyIeP41QE2PEGCOkx`sO5s56vY?r-IFU7~)Kd5X^@vLn|Iwb^8ya2b7Xw-R6!}|4Y zJkIXirjE{;c)FUz*+z{*aQ9xsI%cQz%f2r~@3BpHl*bt6#5&G~bKY@*gF|dyZ}xZ> z>su)HX|bPqid=`CiH3n(=^! zpYN`lR7O{cJlT8yyR6A~XctfQ;6#5(@B7UYV9f?;Y{ZNLbE-rcjSlosY}J#9-f#|* zJnd+^X)DV(FAJ`sB}~?93mq#qg!;A2daCEeIG(ixTAC!d70alyMO%}%l&#b0rUc~9 z$LCkTM@3zI&+|+B_cvyvj}i&;QMHt&)bvCQBOE5R{AdPKKw@L$lwBcCQMMNrGz&_7 zN34;21*F_`j||1YxT)nE^Nml+Rj8ak{k!N9D5br#jj{+#hJ0o0ikN_3ymS{lus8Ak z^u!^~7T|>i+a{O-+i|)u%xOUh7LI?YiqUykmL@!zfRm{d?||r9`ZI8BqX#i#cQr^0 z(qxa5E9SLp(zNMW4@n!)oEvP|i?K$@X&;&kYt@$WOh(d+oG&Xv2Q$_h>b<%Q&HRyb zRhiy+hd!hC>h?5EO4+A%=l4=Fl_G0HiJuUCGeG0{y=ZjIre#28DC~b><_fbUZT?1e zovq6EtUdnxPI3@&<-vyI)$5DIa`8Y@-Mfp?Ugj&ewk>;uovk;HbSi41m;EB}RpjJ$ z-4eg|jgTotT`vtZ5<=LI(6r@ppgn(nUZBOVvj$X=zb+Lg{Um{<^g8nrYTcBiw@yDI z1wib$FAV2k#rEwh%Ftg$x>_kQ(M|pAKNVS>{qOWYTmF&$r}v?M=q~*4?1)QGUAejc zcZg-#r}jSde_3xBi{cPzBt}1vOPy8}6Uyv#f#H7zk?~ylFF@p!H9`#)6porzJmqB; zurQS1z9TM$LYdnI#kzhxt?z)7c`^h%>}z%?v16NzoTF;c^G1oYA6?BcnqE=g1o{H< zkwz{gwZm{Rw7~{>qr{#JK z#iQ(`>|3D| zrdrY|LZeAY?|h#CbATScG6a2>6Lt(? zSk_;hm$o|b1BBGK3=tK2J99J7c;r#gHRx&YyR_)LlYbh0OuG8U7%Paw6*+`hZ7RDg zD2Was1MRzS6PtXF*;cHLqEUoS-vWtIW>0SG}?uz{ikanZtCU{7ynV@~bv$5)LLrNm$+hUJd54DNP`K)Ox2ZRL>#j{yq9b^>oS!Y`eUkC^opnukT}3Cv zp-ee!yfxFO&4hRrPV1xYCf+jM@l75-mjFMIQ8Lm}_`Vc@|CVWLq*W$>8O?6!X_taV zrst-`tm0CJdt)4p@9ah#pr_yMN4a;yeiTS==YZ`aTL(3o%{@Y85g!0aB1y^NF`l_N zn%biytBb&aU9>fyaIlxUY+rT(sK3Vt;5#VyK2@Sx>yuyKdQj>H)swfOJ_xVYn`NTD z9((Xwg$w{W-MM#ou6_{F#6VkEeAEl^x99Ov4SRb;X5AFSOjq*AadWOG-_S4( zzdEZ$5$D3@Ck!+7!vgGSndNLkCt;V^kjQ~{9m zEk|?K6@Jc#G5PT5c6U5UC_j=*^XU-Q326=%76&_KlVjieGL_V7$H`hKKzPQ}7M^5d z4~bn(@Uhu(A1jX_aWenykLGd$?6_01uQoaJT?eS$qoOPUzaEg-Cfr_!Bn&ERqc7&R z-TR5<%xVYrlsL^y%u|edSFMdcVkIN)50Hz4iGa9kwkIAtLX)K^QGI#{t6||eXuTnX zEf!Fo@ICt}Z>T5-hh0n>zL4BbdGVl55gqu){n32H7{s=u zgfdr4yf!&NrT7*Xd-j<&uL-VrH#*q1)(0s{gsLc_G-+E=10`{o;KZPw66S0o%_%BH zkMZWt@46uQwWRoR`^0WG;AQ(nM0?FEJr>AJ2C+$h>GqrCK;D9b=fK$+*^=?L z579#Oo?`ORNM8zTYMbr(&wmpl$T*NgR=7)H2W+BP;e?2qBN1bgGxeG(#5vAd9W=GW@#y$lh(-j$OJ@Jk$nsLM(i zO7|JVGXLF|qU6x`r;nY?n-v*%uvK!uN;)d77j!w6T+Mi99q0Dz`flD1N~Y%7QNy&$ zg3W8g+$LRKZDCT!Fso9{(+Az+jeO%=Tyt)#{dWDpEsxH*Pm*5FcYGg|zepvf!`BqM zh}d$_^9nd`y>{+g&(Sx9_RPaOmbSL*c)cPM68>O|T&9+ke+E_A&lDh)&eqil7+dCS z<$$oHF_rV-!?N?|yJx3Hw0|GL$iQjIj~-dPzI#BVy$2%933WgJe9^7vT(`K}%^+t>fLFDvGu2eI2HjZ$4uCruRKp z)_k4lUtbK(U8k3Ra1(09_>Mo~Rg)pcYdW ztlf6izHti0it_q{`WrSI_6(3O3SM7LE|in=IW=O)hIa`^mBnxK#mds(9pw9tU)Hj- zv)iq^s5Ta{*LVSH)~>z$+ONPR2{fa2=wyKAxXGeOh z9-z`GW7n4c(TjfVr=uwS=~}hws=0@jedC}8YiFsJ{^VN6?Nbsad0yY~mw&%LsdRyw zG^ugzMZ2<3@~UhR_vgQMUMad z7mc!8QSh^jdp9XK%OWf1%{GQ!U zMy1qpe2`gCXa3N;wn5s_emcuX?TQcDda>#2bKXNP<)0e$+l?J>H|$TS{;9_t{YkSg ztv7P2xTjm@##Zu|Keh)A;rAbX)5uIzUv^Ay{F7#-&nSNC^8D^y>m9YOS-RG>Y#Y~e z!p)%MPnVj1ef+)u{5Qw#ie1?=wD0`+X-(q$waG4fr}(7cX^qRiX+( z;=e4&FPFs!WrdV2mhV;eio?I%D}VW*zpU(U-BJ?A@BZ_{2Kg@g>le+8?N|C#e6Lna z-qwHI|L&W%@eHH>$20uv_BX9ux)@E=qfS=e>E8Lz#a#P87y5ci`xrQRP(YU8aNMZ9 z`K2+Y8%Ta`I205XPJ4V*FN)xDX>s1Lx?{_pmSa8lP{R{+DeeOM)1n^u=XFH$=27pyRSHPs=cV9GRMQaoEh!%7Bn>G)~%I$ z_Na4kDVjEIYIf1_Hz7(6%jTFV7o*)tr$>+dxL8p*wu5W57Vd&tFUP9nVpqvweLfaV zuE`m*dfT@88hu>W67b8%O!T?^^r?no%G9X`?kp_5Zy)8$C#yFYp6MQ{5F@OaDHrQ1 z=8`d+xrh4s`Sn=zQA@F(vqg-KgTL?Cu>%CK97SM7E=l1AMVBf3)nduNcv``hO2YMgAmhf**dTm%<2J@v^m)+I)%Zs=MO@vnK1(F;O8G&^5Im( zkjNW$>())-M%Iu9i>7DPZp!iS@2PE7t%Qu+K1=&C#lQV6jml@%AAyfhZd0PR1#Bek z8v{!}YS83*ds=3fcXM~I=5|8$A|3skfvF@T3htqjG&7SNVwA2O?_d?PNjIPDt}csK zK~eDK%W>_pXH;uRf5#&iG6f_2mPJAF@G~u)dI+=>^3<;0z1tzl0jHD+A(};fmn>P* z#Wr3m^*ece6@{+z=jyh$w%Rw!Zf(%y-}ki21`=%m{8Ld;v0}w%{N%?av_}V9TQ_&R zWZEg_&H*K=y~3Gat90(%xiIyQ+O>Ulm%Vjs!@Kkv_oUK~q@De>w^;8A!*jcmV)~N{ z9R*g(`0%3Iq+X{xEOBdAn<1)Y@!9M6Yr}cxsR~Y?J6BP$(Al|yLZk0eywk=g3gaFb z9ae7CC&s3B2At%|3fYXnHZkX2C%SDNc6gD-K3usgQcHR7=hYxG^=%J#J_xW{ZW^BHyib_n;Ubu7_J;}D$ zYqly27Jlxd>N=H+ym8~V#fv9Q{){qaF3_5yA1s?Oc+kur68j32X;C)h^@{wyLP4YR zX7DL=9v>s(Y-siH`ZaP15CubfLy zc2Mxlhsy!n(vyFr-}r-Jt4RNOeXBR@*5>gKu4%jj;P=_kc)OU%fc;N{uplA_MJPMXljG%l~o)f~Z z?|l5^iP?{QC^HAC7CUt4;1(3r71qG|ydw9~-LZa+qG9q3?LBR>A3c5?TW!DM+3VK@ zgM;dH=+-R?H1gTox9drZEr>G@KR0a9;7Vd*UEa!D^JY?92cq9%@?$05^qlodw0`_Z#lzv;&}d3n{MG-+3K zo=4IkA^oIl(U0U%r}lKn*Ug?GYfC~sm8s%|gX@AiIap8fCv;g=vM?@7_DVru~(Yq$svs@3Evj4^AB@%&6iO z@8}nsGZfB?vN=6!Ms9 z9L^Y3_A`SF=l1I8z+C70%qr-&qtmpSHEX&7_$UD0B}FK7QhNfrNNr4U@b?0b8SINf^1zfYz9S}A0dRS{GQ zv6KFNrSQuaUG!L@+U5VZJNj$#_m66y-~0@y=D*rCc{&xxczpKaox{80v zq5qmA|23=sfBAJ2-_tm~Kr`Z^WzD+cwjGG(@mf@rw#zN_Bpn@Ijrhjs<6$F)40_b2 zNt5!#2Xtj)3bvE{7JU7h#t|<6)~WK_-zAIp)o00+Ts&%)$3&$=$BxUut7;p(`JEd1 z^_w@(AwZoD4mN(hop3jmWJul<(cGr5yx6pD+Zz1N!(bruI=rZZNK)a8uLo>6z|k~g z*s)14jFmMjQoyf9|I*U&7U<$!_)klf_53e6=l@OtzA_@BuX(u3I$+1C2;+_cH8DQK zomPVdrp$r_UpzEp6}WJ{g8bQY=XM~=T|>9`0AY35D7`_fveyGIJ*~Ct*7dirXmaAj zi78fA71s?a-@A986Z_k|PmLHlWJu*(w{E3Bj*pK&O%5=#ej$g`P@1`k^$nvhE&bjA zxJ_^5$iXP(g)26HXuQ(r&z}eP616V3K7_-lBghp;c>QsmQV6ltx|ok1t!&^|2j0lA zVZJ(ia1Ju9sh|b|{mbx@!ak_=aag`lv;9R zfhnNbs?~4(9=xxhS+P^+&gB%qV?7q;G={$I0fVWsG%k9j&G20Q$A3fdO#|=?y z@})i-stz)tiCGzS227!KbA74#B&N&J++FaDHPRb3sA}UJ(Bwye{Om$tj1UH zXaet=j)15d2<>=xulY&{rc`J@xuim(t^!M|FrpEu5sCeC5S1bHx9-<6X^lfsT?m7N zk;C1^lcn%8@Xd4D{inVmFaVrdLC^Uh8Ti|^$Ga*mUY0wjQ6HB`j@r3Y3~D+Hsuz9B z-FW3}j-&pF5!LaT-l2RM*t~Gz} zpeFtM^-}=i=X^*TYGq~B@>A$kepy@ZXc(qWqyyTn0mFS-F1vsK{!B|!G9JrD68e>& zJ~`e(WbtxB*L%R|dTL-%g^64&*LMwDit9EBX zZ?(y;H;F_R)X9z8t57ic`OAd&_;a1g`S@~p8?y^FpFVv$*TKPZng3c}gI2VW)&g`@ zh*|3Oo&t#YA}Q9vD*jI_$jBL!MLy>M-wL-udQ1v zYgPpRTLom?q)#6WXqNH{Y3MF=!(E^f8+L52N#4tj9XdoxmCM9OwXa3lrdf_|$Q2^YX;ipm;8mnyIL`hyvzRJT2M#fBT;yY@ zy~XvFp-;{7u%+6bTsX)_nTMzJ%)u$W@16i*$jHZ#4d{&+!3D3pwBHmls#puw^_qW$ z2G7g-TWH4!9=l<%!^)Z;-^T&Nf50H)hK>E$=kh+$MO;y{JVi}hw}$!fD-{Z;Gg3+h z2M70X{@lj;*7jvIBbec(EWp2sV?YiGxJ&EaP z@QcxjYhmu;;UV!Na%*qzhBCr&zH5KiR}EPPF~#U{u+}}B z(-(&O?*FFIzvtX%3U01DvD*?VtV);ZV>Y~a#};|^=FK{uQBxu>>#PEw?u?~f7>Wc5 z)dQ+Jvb=~|-2D7(H&_>eWQZa_4%Uj5D_==X-B;;k6O8D(DDVxaoP5?snchyh#+hSJ z5G@8)UB+Q`<-vn`io3XVRBzCwDotMAkNN=52Z@{gn|ST#bR-B2guq(PYDrEXw#CYt zZ2V>4-nbDSEtr9MVNq^#Oc4vuPOgY8VAbD$A41g-$gjKD955X}KJxbM8eI5=C11Ny zcCLZ(b|pDkg`Vnl&bE1IXjo{U>nUc{HFQ!Vt_ctC!wf4A`feG$PO^^DM45PgwkIdsb3S(vl8B!2oUUe-r^(^F`Fy#8`@}I01vgGazg{PenS$G6WzFq46b^Vdn4Pc;mi%+_f$P}Z zbi^*Pun%1;kdDT1&v$rr-CDCrwD#jO8U-X7ZRYxIpV|K+A>I0MHUmeBzDD#-8b5x# zB4&osfWb{ecYFw$5bCQ-KXG}@@^Cb+KxTM2bmA&1;7W>*`W4noal@FVMpU;$CIp@{ zFmLODL&BBR&_R=164}eJ}k=pgACKWos@V&#C=cXn;x zJ_YQP)3hAnfB*88kA^QeV2<0{%*VN*G23pR!=7i%jBbpg+E6R@Gp^Qcu#6>`Fwb%Q z%z)K#w;wfYlK0&H!=S-h&fmVJZq$5rl($0Bc=FoyO797IiZS~`W6m@g4%5J((;Fo+ z!NxYqJs%EU%JSLQnQV17ykKhRYXMQLde_ZqMaHA(2W{WJPNRhQctxE{HVvk2V=Fv! zO|3APq1fg6-AOWEFmBlAumf@M=$A7GV#B^A27MeH927;n`d6_^X#hFCdDXt5bP+SBF%Gp;n(k_x^QL_GzNV%wr{P`>yWv}WYSFc?d+hY6LC3F~z8*CA z(~s}YidC(R=@-{`QZsNn(c!9U{lVj~xm~$tjc^E<>#C{{plspC^mQ&{_qc}6ORKE7 zbD{O`;tWfh8akub`wqrn6y`Eq6xaThx_3dh~Ev;9_sz34YV>niV5V zl(hApUuwLt^Gdx!Dl6@StZteVKCVUKSL(L|F{)-_jx;JWWjuvQ;m2L>O7}<_ z$3#U{rm6uIywz<*yY`Y|(r;+IGUlH0W~Gw^?@hxF17)4MG_v1P^jezx1{-dwq}sB@ z!&QqZ%%sSJJ^zB7hohfE=A)`7-*|!r$LHzc2# zRt-#8sj+_}Yx1XZR&_5)!-bSEw*Hw+NPQPA>{by~4*<}S99@H?=LYqSfZE})^BB@? zP|ZLDf+KeKfM258(&%^{_>R>S3%`77CHWS4b@_f9uD@^T%3hD6yIqTpxu2mDR{+mq zKcCD*a7{4D^v5u%bFgW)&Kx>&RRXMmPgxKDU`;4BF3{Hi3?&1GsnXW9NpoFYHPWmt z`6i7zSygq-sJDVc)Pg9=vpM`N!}MNXLtVx*))+o~IQyy|5@!=9wLS4T2_Y7ib>{TH z%87#J&>w-evY@DVyQaA zPXkpxE0O+D9&X_yVK{ zMSTVk_Z09C(m@3`vX{aaXZnUp1<@B}K5kg>1xW+fc)R5F-x zo-w@7SnchdrYYeJ`|{mnW~!eY(^ssik2gO2dDw^%*ML<%0Mfg-zM9r-14(&gO3I$m znXO_H6OCGBY-zi4*r1zNNn|>X51LUI=4X1NP6StJRW4E<{LrE)74s(7YrsF40lxL=tr{DCtq}y<)ww`Yw6&-KshkZrghCZDm7Ch!-=uq|k z@hx}s=SFRtgK%G=`2X?nddG%crn`~49)vUYah6n>9Mj5-5NFDi5^;Cz0<(ZX>`hLX zh16zB?fCPv)rDX8z5vqZ3%D?A47IOg6j_+=wqBZc=<8OZ)4q6UdW|Yosz`UJB&P{k z;MTz9(SV_!cNmOy(G6SZd*p}(@-=JN?53-*~*z_Hf&M>if|&w-ZYZs8&~^T)Ell z?L|i95`BlJbUbHlWu-;BGS$|0hu!l9@D-)O+Q{A5o3}QN8>p(JGyv1#_=JS1*4C@Z zpsqZ9+9&CuJ&pnWa2k{jPgku6Gbt3JQ7CkPp}MHGcig=B^H&``+Cs`y{#Lu^fzOCL zDzB^w-eMKJYoTugx_bam)a9)g9x@zhHF`x|9y7$<>)VH%UqbGIUR^ja$b2z#EGH+k zzlk!k?Eb5i>fTrPTB|or)?o-hi2z1CnvIl*!n^5bTolVz-p@Hir0CB#B>ojpvBSJrhYs0o{^ztrODYu28-#Q`p-WTT0}VI7j~cItH%BsgG` zk55HnyIHu4D(b7ApGVVOlExOTpAI-pv>RYB0tTKtOv<{iw=ZwkZ@{A5{QPKk+XuNK z^%g6q%sa0FhWMO!wd!xb^{2oBAMEQ~y}kYVJH&7-KYJ|5QXv62aJM5(mr4q;E!c7I z+*8WZ)9CoV!45lp_Uu5?+xzPJM?ExpHxR}Xr4fbX0uShrDPE3%WO#cj3kQlc0mS$6 z{rh!L@eIHaeCm|Q*mujnINrPX;!0}R`dB;f%At#DFL_w-c(q=C94i!?@}56ScyVB+ z^VDx&%?x`;#vrF_ty)yWf#Qj7(=hjKVr%wwLog^n8Yw(T%A!|7& zr?5rX%YEl^Dd*;-Y7pMn1O|Sv*(d|kl?>iihT=fLnnFGJvD?fdV{9vMpsh^Byj+G8 z{xPH7k5NYZAVJihu2XAC&kOq-cr8B>5b&~o+kGb;zrOjreA8|7^y49eH}Br<0k^p^ zhZToDGKnZIa4b;O%rrTWclUMGz>I*?91ihiu$IE9p;ap@Yk2U690F1uAMVl+_@IRlz%!ZQQ5~c@KPq8y9eEm3tiXU{M_o2|?%aOFIz=)4u-i-(ip3`Tno;m9V`s>5Ejx?jLO{;L|PXWF*OOE2@9-j}Gw!=}f_LEjz8@;Z-Nq^yI{fBr_+5%=GF%Xrkx)xr3AtiL|@Bz`&FH2XI2T zHicKAa6@8JQZ$>iW`hRnf%%@3Nde0(%X$$GQD(-dgS#jt%H?!4oi7kD=TP6Jx}s;v z?$OJSACSC@i3mmHbanbYn3+O)r)DWS2q-OTf~C$M5s-$1A62^N_5OL)s#cAJGTnG( zKlbuzOfS>|BHd2>xZm0ORwO`-2e~mgOEtU|2NFsWH%-)$LWyyg{RssUfXLK(#RVb^ zxkh490}jEHP$y;9CLK;+{0wRA3~?rbS43XFKKQvMXZk!$f9_0a)r5?C<;s=Mi0yAT z9NcW>{{Z;nn9lk;Uf*vyy}sN3w!Wh&Z>hA`IlJV+4w*i^C5I@>KV`;@^)$>55p?B< zw=u5&N4@%q?$_t%ZEoAd6bH4L6auNn)hNQEIp*(TKO{9c5txO%49rHBjHm17Ia5ud z=;Q;ot$}@o1n29aNe!1xO;l)z*QSz*>_Vs<30p)0MRpfy~{T%f241N zOWK-EJgrHV6;+vUQLvrVR-s_$9rYP;(E?G9K)##^Qj*V)zSk2>aK*A^CvDu2++1mj6C=C@RcLsU2Hw<20eLl$bj6$%R^yZOCWAbEo}sOlPn0 z`gQBdDWFm4J-4*7oaWxo;CamKW8tnv=KO!^sY?&i8ei8x96z8)v&qXe*$2}FGXz$h z_xi3T3pVtCC7l~Zomo?BmxqfRh#K7`_jdOJc>AXjb4#m(#lD-ARFw50tFCDmw%S!W zQ8Q0PSfGd%Hpg93o$b4JwLUk!s?DByPpO+}DCrABi+nodv#IaF&3anHdbW4{>>kan zoVHD94twy%zJp%O5v`b&mDPb^o`{$XM*bEgx69iqc-pn-=!{-RN&rdFjcfY~Ewpxp zjo;KzVW_!b7W0Q2+?<&grDnMunO1Zfqc9AD}zCF1pP%2q3;b8lO3Fyj*OS?&PI6A8VG9@Cy8vlpJu|7q+^zG9pp&hnh1x6qTJyy^0qu0bZE@pP`nO`LirDX zxrio?QftkMmq(sjC8J5GVzoX{TMqEgIq@A{mErv{>a_Dwa!SgbuP#^9&Mguty-`tN z*6Msh!49AT5cVq|pr*WPg0f!p|4JK4k!nRd4z=$OxV4|(W;{B63SlaOEI~;f8Q+PC z)Ho}pJF`L=`EZ^X88r<~EO=@Lbm@@3;nW!3KN#DKhFZM(ZAC>l*hkZ#@ign!g=-VR z5ruAi^ND|Qb5(Qx>ri+1BWZif5$O6c%g1#zxIuxQj-s|oP6XBZzOUuvuyK!qY@cI! ztwA{WW%h;Vk224g*w~`}qo+=7eR0*7bsP?8XyXbZ{wiXN3d{c&e_G1l@lHj;m^^h|LUI0 z&DR`Eirk>=#xYxNW+cQJFG>ySnTp((=Xb5(cN5X6a+s}0a@ht!A^_l8)T-WJ`)@Y& z`po_#EvgyF77anKIXc?Z3Yvkw-euh@E1v!m<=)EBh8EJrFhR|n>TO!i!chd^bsudJ z)4Xcb5s_kNP$T|C0Px1p2Ss#2`&^KB9glg@lDdx)72Cz&5@Ue=U#(nv%`4@ zor{m;!0e*4-#Cos^wF^?+7Lm=o8R}HIuL+W(*RvyrnmO_9^f)fOk6d9PZr{Ug2H%3 z1>=WsY-xSD3vOiy;uZp6Q2;AuY#Y}csML=&C5{$ZSIiJxE3;_R)rQl?6G$%L8yI!)eay4 zbhkbH6P=69kV`Z6IfJCFSg``esJXS}%?uGx>1|9%=pwwapcfQ-M{q~hT}xTo#O1x@ zT(z&0tG<(c?oiewH-}3B8ME6ZwK@PCr`5V`^G@Nm5nG0B@7K4lymq#fjGx}#11V?! z!K`-GQjO~1)TZZPW*X*-6<^+n$gUA{TR_ciyrL@-kpp1auHY>>X* zEqctV)0WPe?NQ*WXG|uvzetNfJ?Y5HiqljM3%#Ej+#LP&nzU`4kcaM?0Kb;HA+E$8 z1i~SG(uq^2#=k;I`d(4;?2YUI)u+#%9s9mX|8_llHslk7tK44tXbE_ksB<7#1i5Dw z6hC*-z%|$HLD4O|YttZwhXXqNy3TW(tC8y#V4(@c`!dI+$uBc~y^$Os-MzkgbVka+ z+<6Un?;hO)dVrS9aqHI(sl4Pm@tJWmdRI}ofCgR0t6BoC78sVQ*E98l&dkRr=Z>?q zwsw`T=jmBqoSs^I&)GmjV$7o>{`wP|n1eZ;)oOy`95L+60cOZyL0^4!)Mcm}Wvgnp zk$e$625UJ#Ri>unpLi}A{=3!Z9}%4<{6;cMZT9QanqX|~857o|K!f-PZ!Ikb z1Qh%S;fT5BTH3&)z2nzQM&^$XRjj?&bnjJNjUyjCaFDs0*|Ss0hx~OXx9q1*?{3s= z_MACE;4z|&7aasMe8P(vmWE)cx^qdTaB4hffYILL#}}kba_YR|@FPZ!-S56^w>1>d zKg!JK$lZ^f->+`SB6pBnh&ag(QOj`}pc!+w!bmFazCT zjF)CSo+ESNat+n@x(0<0`?9CgAkH@~8R)fFFXYszrTckTZ4kpY$<~>B2oVN?jM7UR z)K^q|?ZSr$eW+9QAO6Di8Hs`Mi1Me6= z@nf#zu!udy%Zo2PZC-YMf)7RuUr3W^F7*ak+~=JT$ajCnH;^`sTURv|n8-S0$gBfH z?Zs2#0DZQmhGopdvfpeho84yagS)p7^;k=*q7!|Ox**XS$Je<(1e{M469jW_5Nsa! z=dmYr1?}235w0M;kL!EzYY!l5+97Bn;mq0+9`m@v?0;)ua!YFi%qhv{dBe)V@0iHw z;gh=*%yV<|0~jyh0hAW}E;XGC#dt6(;#L2-xpCtJ7A~#Pbeaf$%R4#4!U{Mx+T{aNs>0%)5oedEBi*Oo~c zLDgnk!|tZ0R;c@^L4mX@M+Y2vL?XK{eH}3a|3YhYPUUaA&C50q*!oy~iF4#=AHbg4 zO25Xl<0l+%MQMfYiI6MWADVz4Q_`PNu9!Nv@||31@=CsZNv8t5$ODO(K7W1)-eotu zp{0(4EMuBgPs=~Qn=1QY!#S9Hz=P5D`bI^y0_UoM25G5{%Gi-V%@o3KzY5hM z0LJpps%<^_26#vA;euLfbFU6l{N^lY4PqyeeC9VYR&}N_~#?$AQ*VYg^lw)-uwuSR4ef|@n?b0X6H?awyeX=iPO1NVh;D;>}=q^ z7n_x0PGk3Qx8-TQC4&}Cn(ChWEldmCtG_%pwvr$J^~Pz|TuTd0?iy(WIzclS{vkLd zq^9pcFTbs>LS})*4AEQ*;wTtaY4etQhhrI|*Adkq&(jSEkL9;D>sWhL;q&zxEnC*%%en&6C?xoD zq<4ri>$Wy)!MoUdF$XPhe~uoR8btDERp-<==tw!3xztbxkoF2IZy_x{=u;co3@lI{ zdFGSnBd$cv<>z30`^&`+XjYKxqyfB`ph^S?9RJ1O)L6hjT|GT6fzV)ct)dCDHa9nq zs^H#^Fh<_2s169xC^9uSn`Vb=9p^rTGq`$){0!j%MKk9sNl}Lqfde>F#Yrbt#MQUJ zp4Ai}S@#?9U5Lx5-{xq$>l{^(Higa^P4Ty|z4=k;5Dst={zy99Du0w4j~o%R%m3uQ z)2%iHrM4m5hOxFTgH78HzZ}509Z*xy+}v6I(9u8x$>4as@ozc7_tB$CW6My|9r+hU zu_*FzB)f~ZH=S>X+r5TV6#&V_`}e4}*cwvNBffbOS$smzTHHfW&YJ+rvz zx3BM?1hdH06*@ebOkPCJA7Ulj8G;91w&99TFYEdK`l2}_Z+*9Myg!-|1AnIY&F7xa z(I9@3^*X$AL8nfgV2Ng&KTMN92&Aq?=Jy5DfGe5|SQfvt!Mre7%;s!cD;l{Ii;G4_ z5Sa2L{G=mLf}n75ad94bGq>L<_es4qg0|=c@Qv$@*kBo;;r>Okz#PZOn$8rYrm)*G zI4h>npX0&Y&wtJ=%va}&Fs_K@r}c=MkMTP}w5FJUC|vXNi#{`7Ak*1%`mCGvs>SNF zszzTmC*y6#pVvC|4%Pn@aC+4jcbVFl9T048&)S#yCj*=bUMMCgQG19!apM;E4n%Z{ z=FviPWMp?WDs<-Z9}L$*z%uJHZ|CIY9qoAdJ)^vgbTR=*%V=VvYwl=b&Nsp5=CIge z%XH7v(-`Tc)X$hTi|h<_3XLSOENbb6u7s(mK7<#|UK;q0s8aMgJnBlty7cpFbJkfH z)6jH)8BrzCk(cH+|LgLvRa>{Xf^2oix#!w%0+0LI%a`pxsEr7C&T^%35YUBg0@p%+ zr458U$Qq^3KILOlRs~)BjNnMsocl3#;PFo^|KJi(;lqj7oH5sCLxXk;dAIF47^=h> z9rEpim&1kG2b%#T!5mOG`227~e{;GM!2-E4Y&zRqgh?F2Fl-N7hQ;0G>_QQ^mg+tor4hctTZ=uA<|eX; zSo@+IrKVp;DKtLPvEuWahuX@%fCt39<`nD~?9%Ws>LNPz&*YAq6$Gw09$8Fnzu zi$tFbXO6`YwPSM)toW#cjQI=#yfVzow@>o;dFHbD^X{_sAf~&w)uH@x4r(YZQDv}Sars!X2Up3GK#f_a2 zmb%SooV9?(P%i>eTc+&0Q#9*0pW%+1!oT<(ENDpQCT<0Ki=a)LG)gX|jSvwtEfnub z|5b(6+2#Z~`Rjm^?@tTc!Nr9I=Rc$lg*0NeY5UZL`}cMeDmcmR6ize^-*{~wD`K}B z^Bq_G{C+CQ^>y7z+Pe08;mp-L=6rB5Zp94*aSn$YfLqj1I!;QO5o$uMpS@;5yD}1J zD9-f|t$;&+P1bJv^uo%9h=13CpG#m=bcE%(5b+inH{uacR0W>bIyF=Ag`-e^w((y2 z6-2xc>KUMvdS=$Wd!N=;8J`jD36m$xT%>pJlkxkUIEo4968*1qS=v3)U(xdFSiE?Z z5ZM~il0VOw(Kl}yO`ijZlz_TYu6_=XnKC_-W(5iu2X)HHxr*{yZ!Cc&m3ZX_eD9N7H7 zS>D_-Bmn=msp{c(q`^LU6Y_5%Hkg4cOErkj0SFX;Pr7*q`NamoqIYg9RE@xJ?0dcb zFX`8GEK2-bs@MotIn>WV^}(tMFf=o*vsdv4F9W151QTr$X44181?>J6XV2PMr^a0| zn%sTN=+WZ$hK~w%SV3yAxr0L^lH~PV96E40;p)ytvuIDaWveEB@yPjC&M_J)f&ec5 zJ8oaWm$~6@vsGSpdBZ*J&Zlj?U5Tpx;?Avej`MNXd|iIj!8m}Q4G+PV@Alzv1r4Fc z&%@lUEIa$hw@bgab@R5VQv2x64PZc`X)|A)zjc=gX&Ct;P3JYnkmL|KdH|Wm%|&Vf zyLN&@fNsI`=|_>ZfQ@n5A;fWLXdiqE!V&@2Wz=;@OMJ5$-$D+9)Za|gV8wI?ORNy{ zQc}0Wd%SvjX)p+(9c$V&HoFz535W2lM9n?LY1w!o&5IgZ>_a-7t~aKGDbEa1G?15&92U3b#zyB~ElFNG?V2tno}UAwSZ!R>5ASzCns~ZEh5NgJae(naLf~r#`PRq)U7dG1;q0lP3FU2jGUS zIqv$lb*O_n%8#zj6_;)LA~PC)Z&U>7i@HuJeDz9`U>!mLuV51vGeCH_-7&Z9?Cg(X z+3Mb1$3l~ohB4`LO(!tT_{Kl#_N(j0#k!^sZ@fMA@|*b}*bEY5Ytm_N3|?Zi0XOiu zwmNnOb&S>w&<(HUMTZRc+G*-O87oAj!|JmGz6H)hQeD7dCIbuCp{gq)s>cns`+$yh z%}v43MGT;t z2I4oH&e-^7Q^H5ixVxtpO#K?_xE2Ty{MIn9cnZ}EK%J0;7CoE)8l|bmfDU?a^`C#D zl3NB}VKE5L&zpDR5VT>h zpj-WQ&;_{dk7|Gi;Yfq~?sBDV`P1#4CvAEAHLdKkvqN|KjwZZVu>S6@*EHp@kt@B= zx#{Zq=vIwIU&$O3Nrnt!_@BsWxa^(5Ws7e4X#xL3{G;;t^8L#^?rLa_fvh|fM{pMi zh0NeTT~lZ;I=ft$n0oi#rQqVEsh?`qs;?UJ9XGx*n!o|r%GCCwaxA7#XiI!iNP zn)Bbj4Mrx)NHkOxei>k$B4NWap6G8E4f-q$CSMl#Yi^2-^*nY8@c%SQtFvuLubXhE zg$a$!_Uvi5t6!g)HycS{!<3Ip$lCmHf^Q>QoPR8yJ;hj_|LRo`Mw)nJgGQlw@y$OjG7(?#++Mji&(?fh z*hg>-FR$m!DK|GB+$td_jK4<*tRKzAtvy8AfE1}MgA`mR<)`C>V=bJ*8Vvy|LIG?g zHyXKB35z05Q=TntY=qy--FUuQ#>^D#J~B3s*zI8O0XG&Kw*9OxhoTr@X^)P-k85^= z)0CGcqZGBjFkxx68x?WQtsQq`wpI@67V_yqP*74;ok}1Sj;xYEK1*6gU-3enhM<1mgB-`!#6HdaU8seR?28AO30LdawG<&<@@0L{q6y}vdpJS7o(&ET!$HMJh7z zvUB>$(jjy7o?*>JxiP5uF(SFas1jc`c6$HY%NS7A=f@U2M8iO&ge&N)q%j;k*p7Iy z!V11YFjS)6tKAlwY~nL#4!F03ayYpAG;{9oe#ei^d2-H_cH6V)PRoDxIjWhJjYeqx-IvWbm@A=_s^oAUir}lmnQ{VJ^ojDiSj!GX92RxqcifW5gM z3o9e{-HTq!|4TRpzfMgTB86RX6*z;=NAyL)Y3Z%jvz*$hYn*jViz-kMz`dS=^q~e0 zX$B^E_#t#nv%RO-}Vd8VFsO0xP5;(SMlD(!3J<6)``e| zi`&y%fSyLocP8(LN9hksB`TbbQ_l4wtMGQ}2`j^JTQWC-xLsOd&DN9n8_xd&7y;Sf ze1a?V(K6uu4dSlc4u`}fjwz?x6z7!oJwG5N95v`9J#&5b3H9?hYcm}GF~w^(7Xsd9*^(?Ey2 zjpU6IU{RB(S`kjO!LKpzd(tep9@InXtLOm-oc|WsL4MEi`cx_RUIr zAN&73ZQnk1qGEv@UxNNo9MW*wL4NXN;&QTX*kliDNPi~SUq`Jz zvGUU_@Dc$UU?O=jMpfxmB$;NgMhnNx(KMJgZ=QCWqkFD{ipWypZ{j{FtPlKOm+H=-4xCJ5F1@}S_vL7@B!wOe+ z4wU=LfO(G72-FZo#laGjB(rZE4>yBidWzhJ8A~!3#P)%|=N>k9=M1w|pEda+){xc= z6(ajpWY`h;1pio&G!eHze;vNr%`eE-Na}gC1txZN1+MbHCu>7Wj>5X+*TST4Ibxoyzc@2xKk3S(Nay zD%U)2816WYK{7}y9q63SR~$ALTyP@uv*OEvVAONxXbJgYZvF_@8xY2z%atHWu5-76 z-W?vGUT86?=dXDW;`T>;a*yWG8o=BLoCk=5S9Qlb-Ov2D#;-2gthb7YE?+)@D^VkrEhj#hi$_}oK)@n1m`Dy;H zUN%*`nMyUPT3j%k2EY^bg^1MP2(Lp>d}?{=_b2_u8C`eL#T@3gOsaT&9_HIg>nK+gX@w+5wJ@cV@waWH$Dd$qhjw07!A(! z`SWMN9=)+B()sxA-){istP7&Sqs51a7BqCcCE!19E`0%)jq~g4#Oa<$POH7-im*uQ0%nl?{O_bGX9o(?Jw+=p&0#|k%@QM>@yH{4FwK#p zv5~2h9bUie%j2nug8z8r=zzK?3ZtwF+p|lguEk}>Xvkmp(PJD|P%*BHVT@lb>~SZ@ z_{_zH-?>FYC?HaBhfu))LH8sq?_7AC)-~6~iBVDU#fpx^{-Iv5nJzl&l9GjJ+{9|n zHsMZ2EuJb8v6%NOCd);164)n}CZrjiGvdeY5G)s(qKvGw@{1j75$+{ZDt|BlDsmra zetBqp+GZFRG|imt$?parm{bHY8UE)8%b4LmmJqKQ;0U@R)=>gM0(q3FZv4?;pq)i2 z6HMfO&kM0rX^)WZ2|DHBHY03I^CnH?%fpn6w{eJeO$ND<^Ax#yI+8?2#oU1z5{U=0 zc1?U)CHX_aY~7d;k7ysAIYT=dtZw-2VXtTpg+XN*yvT#^5)zmVSRm4NC?4(x8C+6v zPy<3ppgK`L@dJf(gWXb+eouXLcwB9o+-Y{Fn}9d{M!~Ztutx+_ETpUH>FqL#opRSL z7v2K0OlWd+nKd%cy}k(O%~_kd_tm~Er*lh;q`J;%Pr69*!RAzQboI#kc>ss zuKM3uaWT%`DYgIKht$=PVl!bj5D{P3n6EV%TGk_W^w&YeX}`QhNO#isWi|60uW}J< zqy8^B%_7Zw`m+Y|3kwha?Q1!li&!_oQWU_tE0xP@fL(NZPw&x?3d>+ZJr#GLT>N+^ z$1*()oS8zg{g;#GS`LBz5Zlt01_zUusG(%;oj93G9KB7>%Z4NVWGx$r!&>_6h>ms^ zU8V-NPdt6vhCeGB3ua_12KbKpRY9o%1%-tH9Oe5NL=<0wfQ&CN#?;vuYwBIZPh9iI7Tfq zHRr(Dv;D+yvV<(O)OVbmaHA5zEX`u$WqMq(Q%}LyoV?0U$1bY6OJFY3X0=HT1GJcc z@aPWxy8KK8xUEn`MJyn$&4z0CFmjXa*%^ZtKY#vQfa|SCnWl%|u#C~d!WKxRbrpwT zxVpShpE~)ne9X&|CKRsCx>C+`}Y zFV-=nbLp^2o}kI-k5owKzyUZ5hB7ElM=SzF`f^3q2co3m3-6`+c%|IxC~=OMV!LKl z-nWcd%}}Ikw_jqP6iG5M?Qm}t2Y^T=ELC>P8>zM>VKSqX<&zKshr}5SWkEq;#*Nq= zYP*u#8a0(U|6J(D2HW~!BJV<|JAV9%A7v)w;9o&-xq+UOes&=XhX&i&d$*1{mn;k) zd1!#dL&yoniCwe*ohw&{4BK$hiBu&aCnY3?qU0PI@k;yJ?8QMrake6Q!fx@J&!e2V z-}7}VUNGgK%{YxsQC@X|qyDD>_)QVRi^G@wGUJkeGiz3R!v@1r*96&?ulO@S zx-Y~}$e_jbK_@M?5xMwHQ(Jo|LOtYEKnS)o3B?bR3@Vfba%9tRh>1d~JcUU~an}JbI2%IV^#)YP4_P zUdJMCK&x>3kvn_U0coSXrdp)YXX%;!(eu#;2fr$UC4vLVpkqf(q_m1J!k%ZM7g=ol z#DpXQNqI!+Kn1IJ7dR4KjQs|d$TXIaJRZ^DQyU97&sK(RAAV4*;j%~c4jCG+mS~_6 zBZjV8buKN#uw6Sf1rx$HK%(8Gi7O%}1MYB2o!B}=818al5{x?RryjHM|Is=^X$fG_y$?gR2iy(uKXdyifgEAv{O@a-+7uSs*qd&dv z{a%2Ta>8L)QU|AIQhm|?7*huUOMSUL_(L~>dN8e&yQ>-xHGR}I_Gg>F?{_DnQLxmrOGJG6RNK_N;9A>b*!m+lHKJiGiU zVJ)EYf%LjYOX79brGuP`iwC_{_cfK?Qm&{=HgJlZ$D&B?_50sVaMD>a_C9F2EpDQ? zG_c?@R%LM9;iS6Zo$-{or|RyI*f2-Hr1s~-uf@)^-7Wy=6WyR!J*!Jn#kc2^yq!lZ zE&HqCOh(zdVCcKtyg0|;7anX5vh8Ob+JfP&zHD%rF}XuKl(V6ziL_>HBZ*%Sm=7a4 zecYk-*ZzuSeppfYqaQY}I6OAS*(_JAPvVd}n_8q3{=K?eY`|5RY{mHyhi^j7V;reF zf}G)T9ScrZ{*@|Q75akHTv3>xA{k`$$F&WC3$OR%$EU1`DIQJH9!nr9cGoefPq7Qo zqsne&#dTX_{}N<==9nL@_c<*k0G|qIStXzgv~9;6a)NwPF=7FrtS6WQcdtg3OsQ@3 zuQ9g$9tM(uYTJd&r-5%Z4K(o8VQh1wMiy|RW*P<>6YiFfwqNlj_5(DyHtbLCtYmEi zS!?JChD-_HurUM%2KjX`6OD6T3!m@FgJG;`Hjng(atsC!ft({$jHYGTJ~r5!P|KJl z66nMvrDk3kC3bajX~V_Ejf)NK|D3L!X;Y=L-|;V_T)BYk|M%2&ihXVHCBm@+e-lBS zn!8aVv_G#6@(Snz{)F)uVz9D5^Vb@0TAv za>SGKn4`@Egd3niUL*4#y0KL$-@aa0sN4I#gQ!1Y@3^&X1Hv!@+V-DD#w7#{Wq2(2 z&@H`gcz=>?SwxqY`J4v+moa+irH-v%x9&AE1Ol;LrDbH;q!Mb?lCg>?)1!`~j8>ky z&2tg*6S+E<+KB|W^n)L-3aCz8<9zD_D3V~6O~q>iS%CYx6$iY-rwQf`7x;_;AjmUj z%@UmiJWH**b#r{iG!^TmLW^>h*;f0cd3@DTa&x0~Oascf1d7oKGFfkbS4SPHMtET! zKTz+Uom(5cZe01OgDToPq}8BvIax;jm-&Pne_l9eOWqo|tDIQWT^7Rry9MrOa_xrn zf479IwKNUT3&oU}P+!HGnwaRB@{Y>a`Ay@yJX~H8v!~<-mVX5!AcaGyFeDJt@oygA zt2KN(no>#KNIElOax4}Uc>_@uQ;B(`<427)IpFZgY+AIWpSwQA*gghKX0m(v)a5P zQ35}A9jA*dZ%_2#3^rLwX{ow`4Bf~i{CD}%zVQ#w4=yY!>hKF1?p^XbfB{{y0d`pK zyos;+U&Mwc6C#?&)TG}cLs6d7@OQ$)PYMuJd33k+^ix8P$fkn4yz*~ov$Q2xeW52W zQ(!nJgQ4;cP#whovfM+JP<6jU;Zcfk`TMYq8`r@m(`RzVNgWZ5lvoICZ8v9itf@fb z;jtgCmw3tr9#7(F8F}?qywnMPyRnY8wjbRxf|ca?+b^!>vXh$q_mY!%^Q%MOq;Fg4 zMQ2K;6sj=a$`9XU`cX4qJIkq|&jzjUtB;fPLtg3!yHQrjEZLC_VFcvbuQo}?^APV%cXc~}QHbWkG1vRe(ow@egOOfV= z<@2unws-A`Ul^Lze%!d^`QPMd6^~cH#!JZYR}{(onAvZGRww#FFtF{h+AIRxSO4c zNEm{&3Q>T`_Z0Y;;|0*8!(&fUf7ovv0qfZ2!lvRw68rb#7c3W|%;bH#kB-^1 z`o~8b0;LT8i({4a>z7^^s*_jy^a;Fp@nTw-{kVUSsfym5E~F|)ZsD&=pK1|3`}bwv zmq=-4xdV!A#!wsg6Mjleqqbf#0{^x;2s;545<`4om^~ zjHxpKn(*8KU88hdv=i`E8qK}+_h_8GS2L?%9F;#w#{@pH98 zfi$jY`;eIN|BeWZS9F_wes_)vcrr#B4jy?1t-!PVd|F{$zz)R!ROb^Xj#|>cq)|(g z=YRVAS!46V(~;?uA0`t}fHzCDra&(eSc24}^k>q;;+b%!o-c1T)igM>s?S^va0f|} zK!oOWtU~**o%=broo&a~kyeDE>q=HueYSe;*KHl`)M=wdb0DbaA%Dws8~9Rk=;Q_- z@Ug-%S(*QYak))?aWUCAu`T9r^^K3pNAV;234)E*0_$+-J8Y`{if3t9m3{mQq*l9T zB2kPN8PeD3JA3MGn@vbTsiT&V)ZXVkhU}4evO;OWSPeS*`hnQ)Zk*N@;JH(`GiZ-o z5o3$o7^RscRLmcEZ@ULufIWBT>jSyS0h$1r%pIbw`>x z>u{qPp2tKRWNvM}p18CID7*%){?SA(xC)Iv1v049vSpVKvpY+Q1E)e%)UoSJ&dHT# zvMMn5Cx3a8K)?dKyz{TqoYZh{YBQ$zB3o!cOX#rDB{~h$+ZwWDQqG<`r>;0%h}%Jr zA(3_Eml6o;1rz@ta*bnUC>{(R4h}D|YKvL2TQ56Znm|$+SK2+s2hXSlPQ1C>#3ONt zKGib6Pr+;ySl#tgRPzBdBpW&H;*S|VuH|cwy%JUfi-cG|&`J=(l+cLyr#45|{2f~b zeVSLXwYmzkm2hmr*8t%|DA%yD$?(uVG-=YLD{LH*ff932mO8ZA0xFzRk}J`CWUol- z4YrXJC!|jR>j-qtAkere1KLo5u`oJ-FO_)NG&{=iFG~!;%~)h%7JFy&>g9CVJFxA4 z-U-Iy2DI!sDf63)brXoCa6l!SGv}h$X>S8#yI1o+s_e{C4q!qoPCN>9m}WjNXr=Kq(8dHnEhY*3&j_VRM=sl%syQ7d3Ivs zI!FwBObk`gYZ~5Px9mj+qWVNRF3lvJf>%RN&y|df zz%ZLm9WNC;pgbpXks(48<~n|OQ>xPVSGs4{eIEX3JV8-iuqju=xsoJFp9@aRfdMYQ zPmr_zu{tWJw~8t{8l7>!l$kSTv;kTrLCKs!lo>pHe*O^S-IYJ93>x@T9afmc@f)tt za)W${BYoTM%|Ss+bWu!NI?Q3hxsI0Ph0pQ;9YI9seia4KjFwv2e5!06$B-;oXhysF zJ4~_Pe3@O*Y{bF)>R-$nThRWTh$C}_zF&;t^l!7gd}g-ZqgA?djWG_LiKV*X?}v>Z zeVqrfkPA1+LTMBiIOwU@#ybF)WIzZ&MSx|(T@$d9j7SqVEX&tp>(I^{<@~Xhqh~&# zB|<|(8D;1Y8RjLDfYVypJiq2^F@K_c5rf7A=a7S$J`?{r+GRBbP_phMHTXY-s>Ldo zPB9I2jYcrni@!&_a~*RkR!?7GZMQ5bU^*PuVF;(h;%tPFH`A(&gc~^5_e!R%VcHP=laYKq^9FjY{4yBkL;6rUi&Sn;)a4>~Ob1G0104_^|30fu^ z_EUwA+Edl7P*b3^CxBvm)}5d~{@*eM+Ru= zzTQl7EN%acOr4dejVGU+qoxoxvfkSXbn^uAY(Os+np^(g6IQy+e?cQl`AOuy<_n{S z{!XftSQl1?Re%f~R;hG#Usqix6*qApvIIuJH2e-FWDMsc_)+9WglF_HD==)y&dECBHywhRbbVvB0PH{R-^+4xJVeON>wt8Ma@ zk@7D4msy|F(QeY{`HxTxOS(bjPE3jVBK1YG9W`*}Iy`01z%_*`VNxPMmmmtD3Xvu( z&7c-^Nl)QA0tZ7Hu&ZdT$$WU{k%#`?OSvp+_IZyw3)zj3F7w`{2rVfdm_lM>J9%$H z2955UlO_Q^wHr6f8xT3Pj@22_a4qAfnDYwzRiAf^s+z*s(Do!H{PlBg{d4R%_+pi@ zu@>iS8u15pI0TknduU6h4e>M@2-m*!ap0K|%6R1=4 zx~6!ady~DZsiox+x%7f|Qsy=w*zF6@Q}tIw$3Y%Q*4IY9#V^TJFWr~bi8FJ~b8sSTU5B@w-h%QuO`<4z9I3_@PC%`51-_Xsg05I6yp zZs9=a&^XEZklJ>r;Mz{Pww*k|2K<5Xor^jV+jwa7p2?ky?vIDLu!KbsEP`8=8Qla| zFZ=%XxCmF!H5;~XuL9l!Lrmw8As!QEX!ZhtU2b@8hHndO$%fZdXywcZCBzp)t_;fn z_ZR--^qE8-zPse zTJwJrVCG1$7quJ!-cN97Z8I}7iL#=&lfe}>m8(&J0@u+w5hsyfP@qntun-A~EDX^c zq8awXyw(Nvaxwi3ZLj7)Mi}F`c-lL3G~Ou;@qBpqX6fFOY1_+ z&;wmYoF%@SOV3&$PWMNyFQO2!24UuUk(ZE=z!PT6@z#@DE(Uw|{`K>lsD6l}Is7Jb za=S~9cSOwNmqrd=VN}$P$CpJ?(=)>kM$5g_ zTu&HJsZ|tsARw5eeCs-S*?i*k*9V+H+U0tf-ugaf-lF7^G4+Qe^xt9Ab#oM&q zLo+}V#a9Xg>o9A1)%8XQ?r1$kPAwi@4)tRjBU#yQRksUjS@j-gl`=6{B{nkA8y~ap zaj$5Q&-X?wtZ~chhO~dXqj~Gr$N4;}ku<;CwrmJG`IK%?0xvGC`PE8Ey8ZVyi5!xO z#OW(AYvbc7PX(gG-6Uux)P$KH>&UGn_dTm=v->E_-2Wb1~f05>#(jzF|upBysj4ru9bpUNC@lSmDXHs8`#xiEMu3JOrDD@)5N zphoW|!iW=Oj!A|ck_U-CymxHMfb!J_8bnG-&InP+4JrOLH$PmyoMbxp;R#bvFl|W) zocjB`7%hWE9{Ls?2kq*Ox92hiK?ZIf(DPjjQg1AdCqD=!k0&?sX&T^6jZcfQj2VTF zEqwE4U%sJ8Dx@o9w!>9Z&&$h;j~$}zVLa(yL!oGNyhox^@r|!pLcba@#CGxd2Hdx5 zPaJZ0u<#8$j~5-AG;7+_pi7rgl?x#7sm`LQn7ZcYsUrv6_po9~MOwXCe?h%^^(0Qt z(#nb(km@53xX$bQNKphzE&rBr@18DY%NiHd!ykHcj)9(vfxR@if}(nW5l>=9{?j@W z()=HihkM$hnGHxX-roN}!|+;Lai?J}?dozN2yGQ4jcw|fudSxSk@CXz$a$5771W*& z^(J%@o*Mn+P{A8fHU)(K8>uN5TfKjO?1euoIJl}dt5!FJP5VAdenSC~T!^C;a~5JR20bA*w(l-gL%+kh-qgRrh~8=U?%l$um2Yhh+=LeK8Ug}OW*)jtLhU8<4t(*=CN#N| zH_E`Ss`sEep3e=&=~ZrWtak-~*yAG*dI{VL2Y4+Oy@6#)@829&NVF~ZV)*Xe z@prd27vT(oioMQ!l!N)}+}Y#JY#(Kv;Z5bHJSGKQAs66}=aB#@1$1>tv-X$Pc(WO@ za38>bzm(WRhi1JUFv>EfE|t8rCf&;U^-{{e-FW%2=H@xAAw8-zDr37(kZ z`aZVLCo`Xp$*hDq*@x;OWECy;(Y8k(C1Et?tCY|uNIE4A{ZPm}T66(<$r#m#g)j8r z{rxLxvxRLE>l32hK97G^AFDEzFt!LK`mojmd--6_&MlDP6QHuoBX4bd)EcOTAs~V; zDi{GZ+sv~z(i=rQn!Ilz??k7ezZ}<$5ZFM!H-kG9@_tz|A|z)UANre3qb!>t;F>9B zSJaqwCF|eIL~d%6FNFUFbYYjrhhH%*z~}UyKBhI`_Gghlo`(mOUj%E~=2GML>}Xu0 zSLlYRDxoOej&zOrBk9zsbnqeop0!wx1a}~Wwxma&KEiC$&PL2{_W|jyqIg|ye2+pY zc5m8h#n(GurAU*@qN<*hMe!$5Jp440SWIaXYQbhLwd$a%m%_=SY4GCG0?3lzz&|DJ znc2NGWgu%Y#wo`ed|Rs>x^o_f4T@)WF9FLN83ZMkSbWszvO*w{rg0#M_? zK4|$<-v8eDQ}InG3ZuyI(KeQUxig+c_VrXT?#YcU&fKv@qJZ#IB0-Ss2U-KgmlpKu zojao|1A}+MNzUz7JtNNWv99?1`ap>ZwY@J_(MaMAVN$d2#|&!%|Hej3p1+qL&f3!; z07eL9kSWPLMM?D_!oiCPN;2^`qWe%&pu9MB$EWxtnPpI6jBRZ#|B5I3Rs5yG2M7V_ zhZXpk%SA07ARU51@7|5+G9{o_gwJ}Mq2p$Iu;lIk9b)U&t4H2~{l4_G99C*=o~A#J zd&a1Nlp(oA-r$R6u?21f{Ltf+yWQ)-_b!dP&Ny%*MJ@m_e{>+580o`QbtJOg7{jzB ztTF@gQ9P#QUSY*+*ci4I3x}A>>jIXjp>S&)*;+{%xvYo;(N0PBjUqMMJC6ec!C(zV z^z@-_aKCjF=g)LY?TJGZ;(5WPpX=#S40`mi|7R<+P|!(zxwFx3KP`S;#z~P^(q0P= z@u3W_oXAFz!?)-=*2-w94V{+6Dx!WPLi;j@BTrgXBgFP*t`1JmL^gwzIp^fuhTtUt znj4TS-uyiX&>#{kRU&i^kI)I`SfWhoS$#;m<)->7SIEF=$tES zAbd+5qrD+g$G&H+sr2K#md2L_bL-x0hnFxM;?O%&l8d5*pkiXJ-`Asfu5dLx=nk{Ss%8b2xoH)mpym?TE zhdKm=E+=mnpEW~lV3y@cDJfkSWtmO-_-!07&8mOwF;d^GIRnK)shIO@pp7=srlkEp zF)q^V3Kq|>RU`9_z8C3E)uD=xvS{gnbh)~W@O%jA>3QLVPy8!#k|uL7=8%`QfE9!(P}4kvLdBqHIa>zPh63JBlL z#Y!v>oJtc=K*Uuvn zC|mRHNus-Ih?0^2Yh6f=t;=Oqz-#YXP9y4B+*O6;Cu@{iI64`*w*8~An)Zk%M}IqZ zquu808KEEMEuR%Re@$|+;jq~3^3S_}KfTMawM%L(OxaDZO;I|Iz4UayhAF#Xr+>@HsV{cZnbJwRW&*!}>{qbY>&((YL7e>Bbvg#^%&C0?qV zXC*J+JEiOP2TS)HnrlCP{HlvCwfu%4(b{5|@!TZuUGJk0jf+0@d$(-B)*FTij-7(j z3ml0>R4#7|IR&&O5x a`ubZp*bZ`tnA<`A=P;|$md7lnt@~fV+!)#b literal 0 HcmV?d00001 From 965be4a29e507993e62d4d0ce67081d3ef3b6b39 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:05:45 +0300 Subject: [PATCH 49/98] Update student.ipynb --- student.ipynb | 244 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 244 insertions(+) diff --git a/student.ipynb b/student.ipynb index cfde3c30..869c0274 100644 --- a/student.ipynb +++ b/student.ipynb @@ -3101,6 +3101,250 @@ "print('Multicollinear Features')\n", "display(MC_df)" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Q2: What features have the strongest correlations with other predicQ2: Which features exhibit the strongest correlations with other predictor variables?\n", + "\n", + "None of our features have a correlation exceeding 0.75, indicating that multicollinearity is not a concern. However, sqft_living and grade display the highest correlation among our data." + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idpricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontconditiongradeyr_built
id1.000000-0.0171850.0075090.015375-0.004123-0.1314560.022023-0.007457-0.0251940.0162280.025617
price-0.0171851.0000000.2942470.4696320.6472780.0728360.2519650.2161550.0513170.6515430.033041
bedrooms0.0075090.2942471.0000000.5023860.5981960.0224810.166861-0.0157060.0296690.3496460.165938
bathrooms0.0153750.4696320.5023861.0000000.7256130.0583340.5059360.033232-0.1283540.6372030.529347
sqft_living-0.0041230.6472780.5981960.7256131.0000000.1439440.3469840.060978-0.0564130.7370530.330360
sqft_lot-0.1314560.0728360.0224810.0583340.1439441.000000-0.0176440.022358-0.0059740.0895410.043590
floors0.0220230.2519650.1668610.5059360.346984-0.0176441.0000000.011859-0.2689880.4533260.492854
waterfront-0.0074570.216155-0.0157060.0332320.0609780.0223580.0118591.0000000.0183610.053071-0.032005
condition-0.0251940.0513170.029669-0.128354-0.056413-0.005974-0.2689880.0183611.000000-0.151066-0.361670
grade0.0162280.6515430.3496460.6372030.7370530.0895410.4533260.053071-0.1510661.0000000.452886
yr_built0.0256170.0330410.1659380.5293470.3303600.0435900.492854-0.032005-0.3616700.4528861.000000
\n", + "
" + ], + "text/plain": [ + " id price bedrooms bathrooms sqft_living sqft_lot \\\n", + "id 1.000000 -0.017185 0.007509 0.015375 -0.004123 -0.131456 \n", + "price -0.017185 1.000000 0.294247 0.469632 0.647278 0.072836 \n", + "bedrooms 0.007509 0.294247 1.000000 0.502386 0.598196 0.022481 \n", + "bathrooms 0.015375 0.469632 0.502386 1.000000 0.725613 0.058334 \n", + "sqft_living -0.004123 0.647278 0.598196 0.725613 1.000000 0.143944 \n", + "sqft_lot -0.131456 0.072836 0.022481 0.058334 0.143944 1.000000 \n", + "floors 0.022023 0.251965 0.166861 0.505936 0.346984 -0.017644 \n", + "waterfront -0.007457 0.216155 -0.015706 0.033232 0.060978 0.022358 \n", + "condition -0.025194 0.051317 0.029669 -0.128354 -0.056413 -0.005974 \n", + "grade 0.016228 0.651543 0.349646 0.637203 0.737053 0.089541 \n", + "yr_built 0.025617 0.033041 0.165938 0.529347 0.330360 0.043590 \n", + "\n", + " floors waterfront condition grade yr_built \n", + "id 0.022023 -0.007457 -0.025194 0.016228 0.025617 \n", + "price 0.251965 0.216155 0.051317 0.651543 0.033041 \n", + "bedrooms 0.166861 -0.015706 0.029669 0.349646 0.165938 \n", + "bathrooms 0.505936 0.033232 -0.128354 0.637203 0.529347 \n", + "sqft_living 0.346984 0.060978 -0.056413 0.737053 0.330360 \n", + "sqft_lot -0.017644 0.022358 -0.005974 0.089541 0.043590 \n", + "floors 1.000000 0.011859 -0.268988 0.453326 0.492854 \n", + "waterfront 0.011859 1.000000 0.018361 0.053071 -0.032005 \n", + "condition -0.268988 0.018361 1.000000 -0.151066 -0.361670 \n", + "grade 0.453326 0.053071 -0.151066 1.000000 0.452886 \n", + "yr_built 0.492854 -0.032005 -0.361670 0.452886 1.000000 " + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.corr()" + ] } ], "metadata": { From 21244e1070ae697728b35df3d7b105e27d998563 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:09:44 +0300 Subject: [PATCH 50/98] Update student.ipynb --- student.ipynb | 148 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 148 insertions(+) diff --git a/student.ipynb b/student.ipynb index 869c0274..8f2b521e 100644 --- a/student.ipynb +++ b/student.ipynb @@ -3345,6 +3345,154 @@ "source": [ "df.corr()" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data Modeling\n", + "Before constructing any linear regression model, three assumptions about the data need to be checked:\n", + "\n", + "There should be a linear relationship between the explanatory and response variables.\n", + "The data should exhibit homoscedasticity, meaning the residuals have equal variance around the regression line on a scatterplot.\n", + "The model residuals should follow a normal distribution, observed through a relatively straight line on a QQ plot.\n", + "These assumptions, along with the assumption of no multicollinearity, also apply to multiple regression.\n", + "\n", + "In addition to assessing these assumptions, we'll examine two values in the model summary:\n", + "\n", + "R-squared: This value indicates the proportion of variability in the response variable that can be explained by the model. It ranges between 0 and 1, with higher values indicating greater predictive power.\n", + "p-value: In linear regression, the null hypothesis states that there is no relationship between the chosen explanatory variables and the response variable. Hence, we aim for a p-value lower than 0.05 to reject the null hypothesis." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Model #1: Baseline Model\n", + "##### Let's construct a baseline model using the top two features correlated with price." + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 20978 entries, 0 to 21596\n", + "Data columns (total 11 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 id 20978 non-null int64 \n", + " 1 price 20978 non-null int32 \n", + " 2 bedrooms 20978 non-null int64 \n", + " 3 bathrooms 20978 non-null float64\n", + " 4 sqft_living 20978 non-null int64 \n", + " 5 sqft_lot 20978 non-null int64 \n", + " 6 floors 20978 non-null float64\n", + " 7 waterfront 20978 non-null float64\n", + " 8 condition 20978 non-null int64 \n", + " 9 grade 20978 non-null int32 \n", + " 10 yr_built 20978 non-null int64 \n", + "dtypes: float64(3), int32(2), int64(6)\n", + "memory usage: 1.8 MB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
sqft_livinggrade
011807
125707
27706
319607
416808
\n", + "
" + ], + "text/plain": [ + " sqft_living grade\n", + "0 1180 7\n", + "1 2570 7\n", + "2 770 6\n", + "3 1960 7\n", + "4 1680 8" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "home_preds0 = df.drop(['price', \n", + " 'id', \n", + " 'bathrooms', \n", + " 'bedrooms', \n", + " 'waterfront',\n", + " 'sqft_lot', \n", + " 'floors', \n", + " 'condition', \n", + " 'yr_built'], axis=1)\n", + "home_target0 = df['price']\n", + "home_preds0.head()" + ] } ], "metadata": { From 8556a296929ad7f6f423860b3969312104f23821 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:11:54 +0300 Subject: [PATCH 51/98] Update student.ipynb --- student.ipynb | 133 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 133 insertions(+) diff --git a/student.ipynb b/student.ipynb index 8f2b521e..0056a7ba 100644 --- a/student.ipynb +++ b/student.ipynb @@ -3493,6 +3493,139 @@ "home_target0 = df['price']\n", "home_preds0.head()" ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
constsqft_livinggrade
01.011807
11.025707
21.07706
31.019607
41.016808
............
215921.015308
215931.023108
215941.010207
215951.016008
215961.010207
\n", + "

20978 rows × 3 columns

\n", + "
" + ], + "text/plain": [ + " const sqft_living grade\n", + "0 1.0 1180 7\n", + "1 1.0 2570 7\n", + "2 1.0 770 6\n", + "3 1.0 1960 7\n", + "4 1.0 1680 8\n", + "... ... ... ...\n", + "21592 1.0 1530 8\n", + "21593 1.0 2310 8\n", + "21594 1.0 1020 7\n", + "21595 1.0 1600 8\n", + "21596 1.0 1020 7\n", + "\n", + "[20978 rows x 3 columns]" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import statsmodels.api as sm\n", + "\n", + "# Assuming home_preds0 is your DataFrame\n", + "predictors0 = sm.add_constant(home_preds0)\n", + "predictors0\n" + ] } ], "metadata": { From cffa05525b3707ad5ad028a9292596fd2989e4ff Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:14:56 +0300 Subject: [PATCH 52/98] Update student.ipynb --- student.ipynb | 212 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 212 insertions(+) diff --git a/student.ipynb b/student.ipynb index 0056a7ba..331b5737 100644 --- a/student.ipynb +++ b/student.ipynb @@ -3626,6 +3626,218 @@ "predictors0 = sm.add_constant(home_preds0)\n", "predictors0\n" ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "modelbaseline = sm.OLS(home_target0, predictors0).fit()" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: price R-squared: 0.486
Model: OLS Adj. R-squared: 0.486
Method: Least Squares F-statistic: 9901.
Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00
Time: 12:12:28 Log-Likelihood: -2.8743e+05
No. Observations: 20978 AIC: 5.749e+05
Df Residuals: 20975 BIC: 5.749e+05
Df Model: 2
Covariance Type: nonrobust
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
const -5.521e+05 1.18e+04 -46.786 0.000 -5.75e+05 -5.29e+05
sqft_living 137.6391 2.758 49.914 0.000 132.234 143.044
grade 1.041e+05 1996.367 52.128 0.000 1e+05 1.08e+05
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Omnibus: 10657.564 Durbin-Watson: 1.974
Prob(Omnibus): 0.000 Jarque-Bera (JB): 129013.168
Skew: 2.160 Prob(JB): 0.00
Kurtosis: 14.355 Cond. No. 1.74e+04


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.74e+04. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & price & \\textbf{ R-squared: } & 0.486 \\\\\n", + "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.486 \\\\\n", + "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 9901. \\\\\n", + "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 12:12:28 & \\textbf{ Log-Likelihood: } & -2.8743e+05 \\\\\n", + "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & 5.749e+05 \\\\\n", + "\\textbf{Df Residuals:} & 20975 & \\textbf{ BIC: } & 5.749e+05 \\\\\n", + "\\textbf{Df Model:} & 2 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & -5.521e+05 & 1.18e+04 & -46.786 & 0.000 & -5.75e+05 & -5.29e+05 \\\\\n", + "\\textbf{sqft\\_living} & 137.6391 & 2.758 & 49.914 & 0.000 & 132.234 & 143.044 \\\\\n", + "\\textbf{grade} & 1.041e+05 & 1996.367 & 52.128 & 0.000 & 1e+05 & 1.08e+05 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Omnibus:} & 10657.564 & \\textbf{ Durbin-Watson: } & 1.974 \\\\\n", + "\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 129013.168 \\\\\n", + "\\textbf{Skew:} & 2.160 & \\textbf{ Prob(JB): } & 0.00 \\\\\n", + "\\textbf{Kurtosis:} & 14.355 & \\textbf{ Cond. No. } & 1.74e+04 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{OLS Regression Results}\n", + "\\end{center}\n", + "\n", + "Notes: \\newline\n", + " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n", + " [2] The condition number is large, 1.74e+04. This might indicate that there are \\newline\n", + " strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: price R-squared: 0.486\n", + "Model: OLS Adj. R-squared: 0.486\n", + "Method: Least Squares F-statistic: 9901.\n", + "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 12:12:28 Log-Likelihood: -2.8743e+05\n", + "No. Observations: 20978 AIC: 5.749e+05\n", + "Df Residuals: 20975 BIC: 5.749e+05\n", + "Df Model: 2 \n", + "Covariance Type: nonrobust \n", + "===============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "-------------------------------------------------------------------------------\n", + "const -5.521e+05 1.18e+04 -46.786 0.000 -5.75e+05 -5.29e+05\n", + "sqft_living 137.6391 2.758 49.914 0.000 132.234 143.044\n", + "grade 1.041e+05 1996.367 52.128 0.000 1e+05 1.08e+05\n", + "==============================================================================\n", + "Omnibus: 10657.564 Durbin-Watson: 1.974\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 129013.168\n", + "Skew: 2.160 Prob(JB): 0.00\n", + "Kurtosis: 14.355 Cond. No. 1.74e+04\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 1.74e+04. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "modelbaseline.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### The baseline model's R-squared value is 0.486. Let's endeavor to enhance its accuracy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Model #2: using train_test_split" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [], + "source": [ + "y = df['price']\n", + "X = df.drop('price', axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "X_train is a DataFrame with 15733 rows and 10 columns\n", + "y_train is a Series with 15733 values\n" + ] + } + ], + "source": [ + "print(f\"X_train is a DataFrame with {X_train.shape[0]} rows and {X_train.shape[1]} columns\")\n", + "print(f\"y_train is a Series with {y_train.shape[0]} values\")\n", + "\n", + "# We always should have the same number of rows in X as values in y\n", + "assert X_train.shape[0] == y_train.shape[0]" + ] } ], "metadata": { From 68ad25a9a5ee2ab5b667fb42de69149265397185 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:15:33 +0300 Subject: [PATCH 53/98] Update student.ipynb --- student.ipynb | 231 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 231 insertions(+) diff --git a/student.ipynb b/student.ipynb index 331b5737..6156374f 100644 --- a/student.ipynb +++ b/student.ipynb @@ -3838,6 +3838,237 @@ "# We always should have the same number of rows in X as values in y\n", "assert X_train.shape[0] == y_train.shape[0]" ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
bedroomsbathroomssqft_livingsqft_lotwaterfrontfloorsconditiongradeyr_built
443842.50277060000.02.0381993
1535341.50248063830.01.0371946
684542.50232078000.02.0381986
1819731.501930110920.01.0371983
219843.754490349820.02.03121998
..............................
1160442.752640350700.01.5381963
1230521.50114011490.02.0372001
555122.00106040000.01.0271914
88932.503000253410.02.0391995
1624731.00140087100.01.0471948
\n", + "

15733 rows × 9 columns

\n", + "
" + ], + "text/plain": [ + " bedrooms bathrooms sqft_living sqft_lot waterfront floors \\\n", + "4438 4 2.50 2770 6000 0.0 2.0 \n", + "15353 4 1.50 2480 6383 0.0 1.0 \n", + "6845 4 2.50 2320 7800 0.0 2.0 \n", + "18197 3 1.50 1930 11092 0.0 1.0 \n", + "2198 4 3.75 4490 34982 0.0 2.0 \n", + "... ... ... ... ... ... ... \n", + "11604 4 2.75 2640 35070 0.0 1.5 \n", + "12305 2 1.50 1140 1149 0.0 2.0 \n", + "5551 2 2.00 1060 4000 0.0 1.0 \n", + "889 3 2.50 3000 25341 0.0 2.0 \n", + "16247 3 1.00 1400 8710 0.0 1.0 \n", + "\n", + " condition grade yr_built \n", + "4438 3 8 1993 \n", + "15353 3 7 1946 \n", + "6845 3 8 1986 \n", + "18197 3 7 1983 \n", + "2198 3 12 1998 \n", + "... ... ... ... \n", + "11604 3 8 1963 \n", + "12305 3 7 2001 \n", + "5551 2 7 1914 \n", + "889 3 9 1995 \n", + "16247 4 7 1948 \n", + "\n", + "[15733 rows x 9 columns]" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Declare relevant columns\n", + "relevant_columns = [\n", + " 'bedrooms',\n", + " 'bathrooms',\n", + " 'sqft_living',\n", + " 'sqft_lot',\n", + " 'waterfront',\n", + " 'floors',\n", + " 'condition',\n", + " 'grade',\n", + " 'yr_built'\n", + "]\n", + "\n", + "# Reassign X_train so that it only contains relevant columns\n", + "X_train = X_train.loc[:, relevant_columns]\n", + "\n", + "# Visually inspect X_train\n", + "X_train" + ] } ], "metadata": { From 9632cf4142dc7afe9f3f1f0691ca54d6092ba1f0 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:23:04 +0300 Subject: [PATCH 54/98] Update student.ipynb --- student.ipynb | 80 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 80 insertions(+) diff --git a/student.ipynb b/student.ipynb index 6156374f..578951fe 100644 --- a/student.ipynb +++ b/student.ipynb @@ -4069,6 +4069,86 @@ "# Visually inspect X_train\n", "X_train" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We might uncover a more distinct linear relationship between price and specific condition values by employing one-hot encoding for the variable." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Multiple Categories\n", + "In contrast to the 'waterfront' feature, 'condition' encompasses more than two categories. Hence, we'll need to create multiple columns, each representing one category. To achieve this, we'll utilize\n", + "##### OneHotEncoder from sklearn.preprocessing" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[array([1, 2, 3, 4, 5], dtype=int64)]" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.preprocessing import OneHotEncoder\n", + "\n", + "# Create a variable condition_train extracted from X_train\n", + "condition_train = X_train[['condition']]\n", + "\n", + "# Instantiate a OneHotEncoder\n", + "ohe = OneHotEncoder(categories='auto', handle_unknown='ignore')\n", + "\n", + "# Fit the encoder on condition_train\n", + "ohe.fit(condition_train)\n", + "\n", + "# Inspect the categories of the fitted encoder\n", + "ohe.categories_\n" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[0., 0., 1., 0., 0.],\n", + " [0., 0., 1., 0., 0.],\n", + " [0., 0., 1., 0., 0.],\n", + " ...,\n", + " [0., 1., 0., 0., 0.],\n", + " [0., 0., 1., 0., 0.],\n", + " [0., 0., 0., 1., 0.]])" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Transform condition_train using the encoder and assign the result to condition_encoded_train\n", + "condition_encoded_train = ohe.transform(condition_train)\n", + "\n", + "# Convert the sparse matrix to a dense array\n", + "condition_encoded_train_array = condition_encoded_train.toarray()\n", + "\n", + "condition_encoded_train_array\n" + ] } ], "metadata": { From 23f7d4f409db8e2f92d6b3ef11ceb4e4d1eb2fd6 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:25:01 +0300 Subject: [PATCH 55/98] Update student.ipynb --- student.ipynb | 372 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 372 insertions(+) diff --git a/student.ipynb b/student.ipynb index 578951fe..2d95c96b 100644 --- a/student.ipynb +++ b/student.ipynb @@ -4149,6 +4149,378 @@ "\n", "condition_encoded_train_array\n" ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
12345
44380.00.01.00.00.0
153530.00.01.00.00.0
68450.00.01.00.00.0
181970.00.01.00.00.0
21980.00.01.00.00.0
..................
116040.00.01.00.00.0
123050.00.01.00.00.0
55510.01.00.00.00.0
8890.00.01.00.00.0
162470.00.00.01.00.0
\n", + "

15733 rows × 5 columns

\n", + "
" + ], + "text/plain": [ + " 1 2 3 4 5\n", + "4438 0.0 0.0 1.0 0.0 0.0\n", + "15353 0.0 0.0 1.0 0.0 0.0\n", + "6845 0.0 0.0 1.0 0.0 0.0\n", + "18197 0.0 0.0 1.0 0.0 0.0\n", + "2198 0.0 0.0 1.0 0.0 0.0\n", + "... ... ... ... ... ...\n", + "11604 0.0 0.0 1.0 0.0 0.0\n", + "12305 0.0 0.0 1.0 0.0 0.0\n", + "5551 0.0 1.0 0.0 0.0 0.0\n", + "889 0.0 0.0 1.0 0.0 0.0\n", + "16247 0.0 0.0 0.0 1.0 0.0\n", + "\n", + "[15733 rows x 5 columns]" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Transform condition_train using the encoder and assign the result to condition_encoded_train\n", + "condition_encoded_train = ohe.transform(condition_train)\n", + "\n", + "# Convert the sparse matrix to a dense array\n", + "condition_encoded_train_array = condition_encoded_train.toarray()\n", + "\n", + "# Make the transformed data into a DataFrame\n", + "condition_encoded_train_df = pd.DataFrame(\n", + " condition_encoded_train_array,\n", + " columns=ohe.categories_[0]\n", + ")\n", + "\n", + "# Set the index of the DataFrame to match X_train\n", + "condition_encoded_train_df.index = X_train.index\n", + "\n", + "condition_encoded_train_df\n" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
bedroomsbathroomssqft_livingsqft_lotwaterfrontfloorsgradeyr_built
443842.50277060000.02.081993
1535341.50248063830.01.071946
684542.50232078000.02.081986
1819731.501930110920.01.071983
219843.754490349820.02.0121998
...........................
1160442.752640350700.01.581963
1230521.50114011490.02.072001
555122.00106040000.01.071914
88932.503000253410.02.091995
1624731.00140087100.01.071948
\n", + "

15733 rows × 8 columns

\n", + "
" + ], + "text/plain": [ + " bedrooms bathrooms sqft_living sqft_lot waterfront floors grade \\\n", + "4438 4 2.50 2770 6000 0.0 2.0 8 \n", + "15353 4 1.50 2480 6383 0.0 1.0 7 \n", + "6845 4 2.50 2320 7800 0.0 2.0 8 \n", + "18197 3 1.50 1930 11092 0.0 1.0 7 \n", + "2198 4 3.75 4490 34982 0.0 2.0 12 \n", + "... ... ... ... ... ... ... ... \n", + "11604 4 2.75 2640 35070 0.0 1.5 8 \n", + "12305 2 1.50 1140 1149 0.0 2.0 7 \n", + "5551 2 2.00 1060 4000 0.0 1.0 7 \n", + "889 3 2.50 3000 25341 0.0 2.0 9 \n", + "16247 3 1.00 1400 8710 0.0 1.0 7 \n", + "\n", + " yr_built \n", + "4438 1993 \n", + "15353 1946 \n", + "6845 1986 \n", + "18197 1983 \n", + "2198 1998 \n", + "... ... \n", + "11604 1963 \n", + "12305 2001 \n", + "5551 1914 \n", + "889 1995 \n", + "16247 1948 \n", + "\n", + "[15733 rows x 8 columns]" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Drop original condition column\n", + "X_train.drop('condition', axis=1, inplace=True)\n", + "X_train" + ] } ], "metadata": { From 8a67e660293d5b5dfaf314be1e40a4500a64d5ab Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:27:38 +0300 Subject: [PATCH 56/98] Update student.ipynb --- student.ipynb | 276 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 276 insertions(+) diff --git a/student.ipynb b/student.ipynb index 2d95c96b..d0a51738 100644 --- a/student.ipynb +++ b/student.ipynb @@ -4521,6 +4521,282 @@ "X_train.drop('condition', axis=1, inplace=True)\n", "X_train" ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
bedroomsbathroomssqft_livingsqft_lotwaterfrontfloorsgradeyr_built12345
443842.50277060000.02.0819930.00.01.00.00.0
1535341.50248063830.01.0719460.00.01.00.00.0
684542.50232078000.02.0819860.00.01.00.00.0
1819731.501930110920.01.0719830.00.01.00.00.0
219843.754490349820.02.01219980.00.01.00.00.0
..........................................
1160442.752640350700.01.5819630.00.01.00.00.0
1230521.50114011490.02.0720010.00.01.00.00.0
555122.00106040000.01.0719140.01.00.00.00.0
88932.503000253410.02.0919950.00.01.00.00.0
1624731.00140087100.01.0719480.00.00.01.00.0
\n", + "

15733 rows × 13 columns

\n", + "
" + ], + "text/plain": [ + " bedrooms bathrooms sqft_living sqft_lot waterfront floors grade \\\n", + "4438 4 2.50 2770 6000 0.0 2.0 8 \n", + "15353 4 1.50 2480 6383 0.0 1.0 7 \n", + "6845 4 2.50 2320 7800 0.0 2.0 8 \n", + "18197 3 1.50 1930 11092 0.0 1.0 7 \n", + "2198 4 3.75 4490 34982 0.0 2.0 12 \n", + "... ... ... ... ... ... ... ... \n", + "11604 4 2.75 2640 35070 0.0 1.5 8 \n", + "12305 2 1.50 1140 1149 0.0 2.0 7 \n", + "5551 2 2.00 1060 4000 0.0 1.0 7 \n", + "889 3 2.50 3000 25341 0.0 2.0 9 \n", + "16247 3 1.00 1400 8710 0.0 1.0 7 \n", + "\n", + " yr_built 1 2 3 4 5 \n", + "4438 1993 0.0 0.0 1.0 0.0 0.0 \n", + "15353 1946 0.0 0.0 1.0 0.0 0.0 \n", + "6845 1986 0.0 0.0 1.0 0.0 0.0 \n", + "18197 1983 0.0 0.0 1.0 0.0 0.0 \n", + "2198 1998 0.0 0.0 1.0 0.0 0.0 \n", + "... ... ... ... ... ... ... \n", + "11604 1963 0.0 0.0 1.0 0.0 0.0 \n", + "12305 2001 0.0 0.0 1.0 0.0 0.0 \n", + "5551 1914 0.0 1.0 0.0 0.0 0.0 \n", + "889 1995 0.0 0.0 1.0 0.0 0.0 \n", + "16247 1948 0.0 0.0 0.0 1.0 0.0 \n", + "\n", + "[15733 rows x 13 columns]" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "from scipy.sparse import csr_matrix\n", + "\n", + "# Assuming condition_encoded_train is your one-hot encoded matrix\n", + "# Convert the csr_matrix to a DataFrame\n", + "condition_encoded_train_df = pd.DataFrame.sparse.from_spmatrix(\n", + " condition_encoded_train,\n", + " columns=ohe.categories_[0],\n", + " index=X_train.index\n", + ")\n", + "\n", + "# Concatenate the new dataframe with the current df\n", + "X_train = pd.concat([X_train, condition_encoded_train_df], axis=1)\n", + "\n", + "X_train\n" + ] } ], "metadata": { From cef92b7a5cedd64ebb92db667a7843ba0d56beb1 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:28:49 +0300 Subject: [PATCH 57/98] Update student.ipynb --- student.ipynb | 287 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 287 insertions(+) diff --git a/student.ipynb b/student.ipynb index d0a51738..a5bf081c 100644 --- a/student.ipynb +++ b/student.ipynb @@ -4797,6 +4797,293 @@ "\n", "X_train\n" ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
bedroomsbathroomssqft_livingsqft_lotwaterfrontfloorsgradeyr_built2345
443842.50277060000.02.0819930.01.00.00.0
1535341.50248063830.01.0719460.01.00.00.0
684542.50232078000.02.0819860.01.00.00.0
1819731.501930110920.01.0719830.01.00.00.0
219843.754490349820.02.01219980.01.00.00.0
.......................................
1160442.752640350700.01.5819630.01.00.00.0
1230521.50114011490.02.0720010.01.00.00.0
555122.00106040000.01.0719141.00.00.00.0
88932.503000253410.02.0919950.01.00.00.0
1624731.00140087100.01.0719480.00.01.00.0
\n", + "

15733 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " bedrooms bathrooms sqft_living sqft_lot waterfront floors grade \\\n", + "4438 4 2.50 2770 6000 0.0 2.0 8 \n", + "15353 4 1.50 2480 6383 0.0 1.0 7 \n", + "6845 4 2.50 2320 7800 0.0 2.0 8 \n", + "18197 3 1.50 1930 11092 0.0 1.0 7 \n", + "2198 4 3.75 4490 34982 0.0 2.0 12 \n", + "... ... ... ... ... ... ... ... \n", + "11604 4 2.75 2640 35070 0.0 1.5 8 \n", + "12305 2 1.50 1140 1149 0.0 2.0 7 \n", + "5551 2 2.00 1060 4000 0.0 1.0 7 \n", + "889 3 2.50 3000 25341 0.0 2.0 9 \n", + "16247 3 1.00 1400 8710 0.0 1.0 7 \n", + "\n", + " yr_built 2 3 4 5 \n", + "4438 1993 0.0 1.0 0.0 0.0 \n", + "15353 1946 0.0 1.0 0.0 0.0 \n", + "6845 1986 0.0 1.0 0.0 0.0 \n", + "18197 1983 0.0 1.0 0.0 0.0 \n", + "2198 1998 0.0 1.0 0.0 0.0 \n", + "... ... ... ... ... ... \n", + "11604 1963 0.0 1.0 0.0 0.0 \n", + "12305 2001 0.0 1.0 0.0 0.0 \n", + "5551 1914 1.0 0.0 0.0 0.0 \n", + "889 1995 0.0 1.0 0.0 0.0 \n", + "16247 1948 0.0 0.0 1.0 0.0 \n", + "\n", + "[15733 rows x 12 columns]" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# dropping a column related to condition to avoid the dummy variable trap\n", + "X_train.drop(1, axis=1, inplace=True)\n", + "X_train" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 15733 entries, 4438 to 16247\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 bedrooms 15733 non-null int64 \n", + " 1 bathrooms 15733 non-null float64 \n", + " 2 sqft_living 15733 non-null int64 \n", + " 3 sqft_lot 15733 non-null int64 \n", + " 4 waterfront 15733 non-null float64 \n", + " 5 floors 15733 non-null float64 \n", + " 6 grade 15733 non-null int32 \n", + " 7 yr_built 15733 non-null int64 \n", + " 8 2 1 non-null Sparse[float64, 0]\n", + " 9 3 1 non-null Sparse[float64, 0]\n", + " 10 4 1 non-null Sparse[float64, 0]\n", + " 11 5 1 non-null Sparse[float64, 0]\n", + "dtypes: Sparse[float64, 0](4), float64(3), int32(1), int64(4)\n", + "memory usage: 1.2 MB\n" + ] + } + ], + "source": [ + "X_train.info()" + ] } ], "metadata": { From 9efa9d67e19d7f8b7307a175b6be1da5a1525ac6 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:31:21 +0300 Subject: [PATCH 58/98] Update student.ipynb --- student.ipynb | 685 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 685 insertions(+) diff --git a/student.ipynb b/student.ipynb index a5bf081c..a393afdb 100644 --- a/student.ipynb +++ b/student.ipynb @@ -5084,6 +5084,691 @@ "source": [ "X_train.info()" ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
" + ], + "text/plain": [ + "LinearRegression()" + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Convert all feature names to strings\n", + "X_train.columns = X_train.columns.astype(str)\n", + "\n", + "# Now you can proceed to train your linear regression model\n", + "model = LinearRegression()\n", + "model.fit(X_train, y_train)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.61210062, 0.60849282, 0.59087099])" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use cross validation to take a look at the model's performance:\n", + "cross_val_score(model, X_train, y_train, cv=3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Preprocess for Test Data\n", + "Steps on Test Data" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [], + "source": [ + "# Preprocess Test Data\n", + "X_test = X_test.loc[:, relevant_columns]" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
bedroomsbathroomssqft_livingsqft_lotwaterfrontfloorsconditiongradeyr_built
259721.0090076200.01.0371971
448142.50202072770.02.0381993
761631.75130077350.01.0471980
895342.253190115970.02.03101984
557541.75178097940.01.0371967
..............................
308822.00178038100.01.5371922
818252.50197086050.02.0471994
1835721.75950152190.01.0382009
131931.50138066570.02.0371986
580232.502130122450.02.0381989
\n", + "

5245 rows × 9 columns

\n", + "
" + ], + "text/plain": [ + " bedrooms bathrooms sqft_living sqft_lot waterfront floors \\\n", + "2597 2 1.00 900 7620 0.0 1.0 \n", + "4481 4 2.50 2020 7277 0.0 2.0 \n", + "7616 3 1.75 1300 7735 0.0 1.0 \n", + "8953 4 2.25 3190 11597 0.0 2.0 \n", + "5575 4 1.75 1780 9794 0.0 1.0 \n", + "... ... ... ... ... ... ... \n", + "3088 2 2.00 1780 3810 0.0 1.5 \n", + "8182 5 2.50 1970 8605 0.0 2.0 \n", + "18357 2 1.75 950 15219 0.0 1.0 \n", + "1319 3 1.50 1380 6657 0.0 2.0 \n", + "5802 3 2.50 2130 12245 0.0 2.0 \n", + "\n", + " condition grade yr_built \n", + "2597 3 7 1971 \n", + "4481 3 8 1993 \n", + "7616 4 7 1980 \n", + "8953 3 10 1984 \n", + "5575 3 7 1967 \n", + "... ... ... ... \n", + "3088 3 7 1922 \n", + "8182 4 7 1994 \n", + "18357 3 8 2009 \n", + "1319 3 7 1986 \n", + "5802 3 8 1989 \n", + "\n", + "[5245 rows x 9 columns]" + ] + }, + "execution_count": 100, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_test" + ] } ], "metadata": { From 6d4d34646413aa2c33ec004d3dfc7827fb263707 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:32:35 +0300 Subject: [PATCH 59/98] Update student.ipynb --- student.ipynb | 281 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 281 insertions(+) diff --git a/student.ipynb b/student.ipynb index a393afdb..9c515ec5 100644 --- a/student.ipynb +++ b/student.ipynb @@ -5769,6 +5769,287 @@ "source": [ "X_test" ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
bedroomsbathroomssqft_livingsqft_lotwaterfrontfloorsgradeyr_built12345
259721.0090076200.01.0719710.00.01.00.00.0
448142.50202072770.02.0819930.00.01.00.00.0
761631.75130077350.01.0719800.00.00.01.00.0
895342.253190115970.02.01019840.00.01.00.00.0
557541.75178097940.01.0719670.00.01.00.00.0
..........................................
308822.00178038100.01.5719220.00.01.00.00.0
818252.50197086050.02.0719940.00.00.01.00.0
1835721.75950152190.01.0820090.00.01.00.00.0
131931.50138066570.02.0719860.00.01.00.00.0
580232.502130122450.02.0819890.00.01.00.00.0
\n", + "

5245 rows × 13 columns

\n", + "
" + ], + "text/plain": [ + " bedrooms bathrooms sqft_living sqft_lot waterfront floors grade \\\n", + "2597 2 1.00 900 7620 0.0 1.0 7 \n", + "4481 4 2.50 2020 7277 0.0 2.0 8 \n", + "7616 3 1.75 1300 7735 0.0 1.0 7 \n", + "8953 4 2.25 3190 11597 0.0 2.0 10 \n", + "5575 4 1.75 1780 9794 0.0 1.0 7 \n", + "... ... ... ... ... ... ... ... \n", + "3088 2 2.00 1780 3810 0.0 1.5 7 \n", + "8182 5 2.50 1970 8605 0.0 2.0 7 \n", + "18357 2 1.75 950 15219 0.0 1.0 8 \n", + "1319 3 1.50 1380 6657 0.0 2.0 7 \n", + "5802 3 2.50 2130 12245 0.0 2.0 8 \n", + "\n", + " yr_built 1 2 3 4 5 \n", + "2597 1971 0.0 0.0 1.0 0.0 0.0 \n", + "4481 1993 0.0 0.0 1.0 0.0 0.0 \n", + "7616 1980 0.0 0.0 0.0 1.0 0.0 \n", + "8953 1984 0.0 0.0 1.0 0.0 0.0 \n", + "5575 1967 0.0 0.0 1.0 0.0 0.0 \n", + "... ... ... ... ... ... ... \n", + "3088 1922 0.0 0.0 1.0 0.0 0.0 \n", + "8182 1994 0.0 0.0 0.0 1.0 0.0 \n", + "18357 2009 0.0 0.0 1.0 0.0 0.0 \n", + "1319 1986 0.0 0.0 1.0 0.0 0.0 \n", + "5802 1989 0.0 0.0 1.0 0.0 0.0 \n", + "\n", + "[5245 rows x 13 columns]" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Transform condition_test using the encoder and assign the result to condition_encoded_test\n", + "condition_encoded_test = ohe.transform(condition_test)\n", + "\n", + "# Convert the sparse matrix to a dense array\n", + "condition_encoded_test_array = condition_encoded_test.toarray()\n", + "\n", + "# Make the transformed data into a DataFrame\n", + "condition_encoded_test_df = pd.DataFrame(\n", + " condition_encoded_test_array,\n", + " columns=ohe.categories_[0],\n", + " index=X_test.index\n", + ")\n", + "\n", + "# Drop the original \"condition\" column from X_test\n", + "X_test.drop(\"condition\", axis=1, inplace=True)\n", + "\n", + "# Concatenate X_test with the encoded condition data\n", + "X_test = pd.concat([X_test, condition_encoded_test_df], axis=1)\n", + "\n", + "X_test\n" + ] } ], "metadata": { From 93556dbbf7981829a5b99b188d9f81f7feb8a696 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:33:00 +0300 Subject: [PATCH 60/98] Update student.ipynb --- student.ipynb | 251 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 251 insertions(+) diff --git a/student.ipynb b/student.ipynb index 9c515ec5..4e283ac0 100644 --- a/student.ipynb +++ b/student.ipynb @@ -6050,6 +6050,257 @@ "\n", "X_test\n" ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
bedroomsbathroomssqft_livingsqft_lotwaterfrontfloorsgradeyr_built2345
259721.0090076200.01.0719710.01.00.00.0
448142.50202072770.02.0819930.01.00.00.0
761631.75130077350.01.0719800.00.01.00.0
895342.253190115970.02.01019840.01.00.00.0
557541.75178097940.01.0719670.01.00.00.0
.......................................
308822.00178038100.01.5719220.01.00.00.0
818252.50197086050.02.0719940.00.01.00.0
1835721.75950152190.01.0820090.01.00.00.0
131931.50138066570.02.0719860.01.00.00.0
580232.502130122450.02.0819890.01.00.00.0
\n", + "

5245 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " bedrooms bathrooms sqft_living sqft_lot waterfront floors grade \\\n", + "2597 2 1.00 900 7620 0.0 1.0 7 \n", + "4481 4 2.50 2020 7277 0.0 2.0 8 \n", + "7616 3 1.75 1300 7735 0.0 1.0 7 \n", + "8953 4 2.25 3190 11597 0.0 2.0 10 \n", + "5575 4 1.75 1780 9794 0.0 1.0 7 \n", + "... ... ... ... ... ... ... ... \n", + "3088 2 2.00 1780 3810 0.0 1.5 7 \n", + "8182 5 2.50 1970 8605 0.0 2.0 7 \n", + "18357 2 1.75 950 15219 0.0 1.0 8 \n", + "1319 3 1.50 1380 6657 0.0 2.0 7 \n", + "5802 3 2.50 2130 12245 0.0 2.0 8 \n", + "\n", + " yr_built 2 3 4 5 \n", + "2597 1971 0.0 1.0 0.0 0.0 \n", + "4481 1993 0.0 1.0 0.0 0.0 \n", + "7616 1980 0.0 0.0 1.0 0.0 \n", + "8953 1984 0.0 1.0 0.0 0.0 \n", + "5575 1967 0.0 1.0 0.0 0.0 \n", + "... ... ... ... ... ... \n", + "3088 1922 0.0 1.0 0.0 0.0 \n", + "8182 1994 0.0 0.0 1.0 0.0 \n", + "18357 2009 0.0 1.0 0.0 0.0 \n", + "1319 1986 0.0 1.0 0.0 0.0 \n", + "5802 1989 0.0 1.0 0.0 0.0 \n", + "\n", + "[5245 rows x 12 columns]" + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_test.drop(1, axis=1, inplace=True)\n", + "X_test" + ] } ], "metadata": { From e3c99bba46d12bafa95ea3ec6b8d7b7615bf4e7b Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:34:15 +0300 Subject: [PATCH 61/98] Update student.ipynb --- student.ipynb | 59 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 59 insertions(+) diff --git a/student.ipynb b/student.ipynb index 4e283ac0..6ae11349 100644 --- a/student.ipynb +++ b/student.ipynb @@ -6301,6 +6301,65 @@ "X_test.drop(1, axis=1, inplace=True)\n", "X_test" ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.617288818755894" + ] + }, + "execution_count": 105, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Convert all feature names to strings in X_test\n", + "X_test.columns = X_test.columns.astype(str)\n", + "\n", + "# Now you can use the model's score method\n", + "model.score(X_test, y_test)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 15733 entries, 4438 to 16247\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 bedrooms 15733 non-null int64 \n", + " 1 bathrooms 15733 non-null float64 \n", + " 2 sqft_living 15733 non-null int64 \n", + " 3 sqft_lot 15733 non-null int64 \n", + " 4 waterfront 15733 non-null float64 \n", + " 5 floors 15733 non-null float64 \n", + " 6 grade 15733 non-null int32 \n", + " 7 yr_built 15733 non-null int64 \n", + " 8 2 1 non-null Sparse[float64, 0]\n", + " 9 3 1 non-null Sparse[float64, 0]\n", + " 10 4 1 non-null Sparse[float64, 0]\n", + " 11 5 1 non-null Sparse[float64, 0]\n", + "dtypes: Sparse[float64, 0](4), float64(3), int32(1), int64(4)\n", + "memory usage: 1.2 MB\n" + ] + } + ], + "source": [ + "X_train.info()" + ] } ], "metadata": { From fc0e550f126cc74610f8aae02249016da7abb464 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:35:08 +0300 Subject: [PATCH 62/98] Create house_price_distribution.png --- house_price_distribution.png | Bin 0 -> 40174 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 house_price_distribution.png diff --git a/house_price_distribution.png b/house_price_distribution.png new file mode 100644 index 0000000000000000000000000000000000000000..eb750736f9cea34fa798ac82f024509162913335 GIT binary patch literal 40174 zcmbrm2Uu0tx;BcjYt(H46~zilM=8>=qYDs`-cb;c-a)!0#;6osH0db4OYfjYKtM#A zNGH;ZAWe#t`wrB^z0dj2J^#IVvLCZ?G1r`9j`5ARedC^t^tlb|=-1KE&}^WbKO;*+ zv)qq{=9lGbR^cZPX$Mx|4?*j*%GPpbde(MVEOluvT(LGcHnTQ1(B5aOYiVU*X3E1U zzmpttV@^W&SJEBk=roVT&DWAY zkGOYiA%9+`f5Alle9n7IlIAmwfq}tr(yiuEdKwy;R38hwl{8^73FSCGtBxsnbPgUhZ4q$ad%R6xJ1uRbW`P5RDrDUkRwefJOa4nQ>ID$ zvgNC;3LkfxHviO=AxTZQ=oGJyS4w_t)VEVxM`!ZI>b=*-dn$#jdfa5?axRUx7d zi}O?Ud3I)^i*w^~iirWu1GfD&Oro=W;Y~SK(Ri4SOo!}RJpIJ0trz>|X2#e3`m42_ zjfkSUdeCs*NTKnv(#ACX?oXdSMXA0B9*>@dC41>yov!PT$>F`Q^H*Y5=E3Zp7oqJLbnKxP)BhvKd);dF36a zhU;r0B^B@(+DRtAuiwsjt@mxPX^t%=#c|3s__%9ZYyIcz_%ZJ<758b`;Iw4YhF!@$#{!v13>O%eK`&WgQNp$+~#`V*i3++F%l;5qU**!7TC>QFwkTW+w&qQ%un2GLpWLRdG zXWdV=Xo*u`-yQlR{oLA> z5|kf}eB5z@qLld}y)3z3D+U(2;qx*jL*i|-S9 z?>altUy`m-%FTVjpSw7wNJmv)>A?jlsX9L`msk$9%s$WK3o=el`B=yi4wD11Mh!{y z+*kiFY)A?=(%?z1jk$C%QL9K(DM`H=b0yuhRcL;uH&o*Md71h+1)JIn{01G*Zw}PO z$|dR2$}1~BE}R`;`_!CuQNJq0r&#+^hGBhOrimKfBv&b|n3Wobpq0YqvYe@#c|-V+ zmdi}!%Rm35-MTe=V!|3F;{t!%_3+{Rap_k3-r$_V)$7MJ?S{;95^or#HEyG)kHdKP zXSKW3=2-R0M@j8mxne~OerupU-Vcv?kc%tXDYO9(6q8}pz$zl5j%n|On{cP+t4q;2 z*J{`9Y|5aLgvA;sANv&3nj$MDCFMKrAA0ik>P_z-a23WdN%~$}n47tO@7~g_Cus
ZNFi9ca%HS~j-~zkuYJ|ws)bHD znP%-tSes0T562tU$KhWe%|E2%`*ANRfaT;SkNapXQxJzF%oB~>CRuj7{AbU zQA|*Nf*H=j$H!OENtV&fc<&_UZC|*jSk2?3I=r?+%C(d3o}LZ(rZl(IVGN~7b0&wm ziliTBy(CwGcjU1C+n{Q!zI6L>Ju*=Oc=SCC-zOO4wiW+{;!|r?B^sTboz3o9T3pP+ z$tnGHYNX+CsMFKY&Qha^zUmp@?K^kI9@Qx!)8qBnbgW$T#AJik;9zpm`-l5aPrO{u z)%Eq9iKcXjNNkzc;axA%!nYol?t67_t7?HmhH2r9UcpRH;JP(ym?ttM?q_EUkSe)u z!-h&*P9Y)H>gsCMB9{WyOygLTz}{SC_xM++de!Il)?@Ofinw%_(=stJv9PjAw7Yyw zY;&H{s0`%iYM^1noi5H)xo)GQ^ZnFEL;_rNAASF z+4a)mt7p6GqQ=^_Yva^&QswOJM%og4Lmb~e_V`ff?3iItD~`$Xp1c#C(v1vaPRiI| z9ln0bQizsjXvO=WMy%RE-xnJlQd9h3`{csc5y|r0CKJDWm|+V%noum753~@gTj86k%sx9m)t+I}d@M3D(%|ctPxJ!jVZK~i zN!VKGldI(}iZW4DQ?K4TaPS}#W&i&D_%0ttjAE3G4IAsdd-ohZzgTV4@q8I&r{huE zp%0gC-n=>X<;(lO{=A!^TS13KH~9SK@}+CCt59`1{$jl-GWy$Q<=L-a<58Qi=@nwM z$oz3eJ(jp|p}so&+$4D}4B*?$0!h@w-+$ftRHxK~LS>bY2@4T*jI-!0kpK{QaeMXB zeMdzZc9;90R$%5jch#MbVG9;>R>iD3;!?#Svw#bwTXvTld)f`uQ553jEe2GrdfrqE zkL2sjwS}Er-s&)zh$SL(^=icXWUb_g2u22BTd9NMZtnv4j8dKL$3hq9&XENW;Wj0K zQdXa9W8}l3rg&I7=pBI8w!M3o$_A!E4N7yW^M1XaH2M>^Kz$D%{JvpVxnV}RUK)$2 zsK%vBmkg_)-jTC!cN`Jz^z_-Td3}HLF=pF54Icfsb*uL}?V}Jh<9=M3TPf51{(bIS zlKP5yt(hi)aZ1Ta81h)F-nT-o3;Bg#hlMln0#8&4@85rtI`Mq@roOVnp>M|Sjy*Yj zm)Bw98X166&%F%^DrplfR#mhyPWmmD6&$(UzG~jy-d9)nwdUHeeKyQG=eehzr%FU8 zy}0AWZ9d)dZ3;0mFV6GWk6q(1N1}eOV+Rhk~~FOX`SA(uQo-elot?~LD2FHw)h6ek%DNpEwF zO-{mfZuIWk5Yc!P8NHnCE`PneBYs&0sDpsWT&&DA^1(Qe?av>w(3 zH^&{0lLL_iLAuP(N}Ci>y->XeiWcY1GB-c&sSGq4ZpkUxdy`Euf%)B_Y)jAEU?VA; zyiO0{iH{Gs^wzRRx@GPVbILw+A>gXWm-lLBEF2sh4VK9{J@l0Ud~A}JS#;ev#R$4q zPI(&P*6)EL%xYecg}U_lvpHqw$P?6VUNwBIWjVj=f|Jg~bySfi)Y_ZLN;~2e6KiZ5 zG?c2EW7@ApQOP?Ar%7i{UOIQ?}%KRK|^fyC2JNQ9XvNtucSp=X7whBj*Ef? zRc;~q6h-aY$5;2L+-;J0{Z*C=825UtD@F=#uNE)Nk6cCEoxUG+jDMJGuFLD98<)d< zRWftgmBX-eez-o=zPMl)BA1(I`zfx!HaZ?mXKZw|Ix(v)4&YDNrodBd_Vt=RTs8`? zUw2nzBCvkX8-E>f&^=)sk#kG z8se9O$}~djPZ$)x#y<4q)SY!DAL&-EeabzekP8sJFx|O{&*(k78a-YkhD@H8O;LVw zp#DMw3Z*Znf6uiH)wC6=i)23-@KrOd#;fz8QlE|#ew79+I_9jQBq=R@Y#}B~nZ0CN zb&K0>L0MFH?%~1a6rH=dwx0rYnlKvt4QIs(h{WFVBKzVP=7>G#HgB)wqJ<`bJx8_A zgv<;!BqyUh4;D2#Bs)sO#of!TECR6D;$0UPR8zF?5GLck zi$9>vYXU2|lJ2v_&V!bIoEoyIwAd;hFH$()6#}yymQEAFDOCBj&)a>u?2Z(3c1eJWYz{(gyA&T6{K9ZfX*j#n!>M+vzqWJ@rW;e&)1oBr+ zr}l)d8xP_c@o6q{E#lNF3^I{#VlVxg)R3qa{a`znAp!E>jlP!#v8HJk^e&9-VS(woWsG^ilKaEq(Ftm?y z#dJy)%>?7@6c`s9$`{}?{4!p3Twk#Fry-J-{Mx(ib-vr)q~vyh{tHk(LUwy^11ZPbPJBA*;aKNjb# z^7HuA{idK&OiT>hUI=gp`K(;DbdJ-NP^^hTu=Zn7t$LhCy1Tn0cbVl^_mzUK=y+&} z;fr+p_s-8wvb~$+8Oh;Trx>q*x#^vpoSanf1;bGW+2{U!9QY}Th_*AmgP*My9F&@3Al_FZ=Xa_6bhaSl}l?KRoURJx3rD__S+-oy`FfpS}mRWgD16$3mx&|Xx8a_GafCg=L7_RZ$@M{FT- zE{>ISzo*6P^>#r5DY3Y6JncLUnBFu}8-SvYF*)#=7~gy!`E#dXDHjt`fKMzZAWxIzAQ7{%dIi(Vf^o zJ3m~UOJE=VvEtPQI6JDL8W^)h3;k)B5eF(=Qs79C4pbm=_t>VZKZrOL-=`(?y8mmu z`U`(rR)%vM$LMv-M>b8lnuZKZcuZQ_9z9fQokYKuleyI4Fe4+gsHkW=*G9nAwDds# zM@)93laqXOJ~`%p-IANSD3qyWTGgm9@&fa~ugwv)r~JBma2F+i$N;{K zsXt1Ouv9nJ7$4{$WbGYN86=6U*Jj?DwZGW8iEmII^ydb(Mij)~lHn=sL|1 zWoW0C6u8yf9SUj9pJu^R$2q=Yj+glEihQI~G>fV;exb-_P!S5qS?p>_M+0A_{Hm`h z7g(v-5t|@ZEl;tBXrK&K@&$*6hNc`3@wR!g zzRbCn+jXXUyGE`xOBHXs^Hi`!OOi$&d++XZLEIzD-c*_u&HMJ+^CX`fe4prke0tMv zfrn=AjMEw?02X!?2`3#da&#i*p|`C56%?bomfrKS;D zh*i<$;L@CFLL|@#x0U8llzh7LJ5O<=x>sccVILH0f3&`IbIh&6RRo5Nv=v}x(s!pv z-VDF9eml{TsN9)bENo9tKQ*rso!U_v>iot3QgYClbLWhzpPnrlS*d|Z(uYbjs{4|^ z-6kb08XzLdOr)g`!&7BU7@m43ip)jV61kjbh2(jc%a zS);M(8#bm!M!2!qc^$eycz#->u-$Nwrt7>-=alR4r{2y^o!zCcUTrhFF+&D(dUZ2V zkf%F6cNN|J?YFCHf|GcE$2^K=dUlyKrZTAs9-sSsJ4(u*Y9_i{>$a=u{th=Hb7q%v zKnMm$amr-53!W$G%U%s-Lr>%w7*u7(UFC7l&x7!{O@s~)vFoA!z&02sfU4$lVH zYrN%ru^PPQ;CU$!V~9){pv=bo(!oNJm%_z&%4rAk8a&;9`uD38E9~<0Bf+3a1(Wa9 z8p~%e?Iy5AHGi-=dU&eMG1)@I@r$uZYc5}@^-^Vx1Ym4Z`Ertc++B2kGDPpYdtC&Y zH6Ku|LB{X=_8T)~HQ5r)xJVn_nuibn)mf1Sy-fxJuYD%3|5UPGVb)0Ah?vgTt*)-F z?mLdYJpUChbJxk7@ZWx0L6F#Nr{{4-iVv$o&FM{|SA)Jy?3A!gH{xFs84DV%zM}|s zFK7t&Jv`n6U!_So8v*5Ehm8jEp__K75*c?RKn?f=}_CJC`X#83F4^FxD~$0K@QJ zArb=<1<1A*Si26mj%XQoH!{>fQS-_*#i-0~9l3LVt0SAa8=H#8{0K6{TU8qzuOio7?1z>}uV6k;(sO#gLvvUIQOYtt+v>^Ump z&iVQIyktH?X0l)9hhmvV&wDKlIxRC3Q}Ohz%hR9#l3wXYCF3?TJ>7?rFN0Z3^aJoh zUCG{0pAsovhYV2bq?PWFa+_QT*`gFl{K440&7?O6X`2AcGk{=9L{f5p z7`7eZ-X6piAZizO*~Ygy0}#_zkvGZ5#l@wNpnPfBvSsAUOmq7W5qm;K{LQ*}h`ff) znTdtdAJ@;LN((tm#BABJr3*s`Gb{!xVE`LPy}p~j7kjmZM=z`0S2 zxcLgIejJLT!HZifoAT_E3E2e9&M<4&gbi25|14f5ElM#-J(jCzPPW}?+?^15P_0;C z?SXesZWG0+^?IlK3}>HQp_4t)&xou?Y!C?VGcz-~jXLjkI?qmAf>w~>G-HWstN>K1 z0ELrSxX>QpZL6+RZWn8+ z3o9=trnv-1Rl(7v|B})E*Z+mjj$gfDpxdIcEZeWu)UQ&{C0;JR{v*{=CjHvss*`H= ztD4Gq-bshtv>p33-AkWYN?0Y4PKBLLu7N2#zr4}dwzx!-TLD6Z;>=ei01AqPWLi#) zo;hDrnbkYRAHNnBEVBGl*Uoj#(#w|lbam@;W?xlhCwIMM^)KDR|DUYD|J4N&-H=c4 zKBO3bRxzHb)aqEE#<9SH$3`TPux-;V$>(Pi6d%mZv6fe`^{!pk-+!#Qm}&E6A=Edl;k^0F=XiB# z+*x5EZHopiej0XWfA)%X&!cZ;B`8XI$mum7OMbH1SuHnK4}W>X5wQ8r!&>h~2R^43 z`Ca(Y^Z9JbulN(0ii3V9j+UELht7R@OP*0e=$2&Ij;^eK{mW4wxA43czgxU7`Ob|G z!dvmzk;`5%$+(R*E&ZR*SK0fPrqmJlN0MQ`T~67HPh5vO|GZLpX!Z9`cj&Qy!G~_t zgw?I~BRfCwP=K36Q6}u8G8&B`KlmsnYbGMkK&l2HIjLC0+W-dXbu6IDt`gbwU>=uy z?&UMkVF`PmxR-JUTeoZ>`v<&fwu;Wf7ene`6HP+2yM`UX0iL3y(@y*njZBM#iFpoI zy3;vUp2knM7lH(;*YpAA#laIGT9DB7&tYP7pHH6!hKGUy%i|p&rKIuFZ+C2rv}B_a zSrSf*f}vrYTtCWGJfIOpRz~Kb*uu0(Qe}LgpPe7-LZ_Nqpg`1~#2KIO3EVsEv|WzdZnF zf3>`F;N zt2XYAA!!Go4jHhDpmMve*PA=D0Uhn5V80hyIAOEiqO?i^TTy(uciDnYhH8rjA0GXL zEQ>0KEedz4>iRuw!kqVk#ezj@p>_+GIx$85>MiEtQ&FauR?(1k%A>co*5v*JNou7Y zS5E+07%Dyi9jQldMlu$cE*2O#M@smNNkO1G+bOVr|C3ifH)~3lru>68<@|G(qSG>M z3IcriSf&r52w`WWp~=>WUCX(C5RY480l8#cYVdm7Q7sBf__K2Fqx`~66%_&9S{IeJ zgr57h9;-%!(k3}fKFJ4E|7US(X_QuSHt)~YxK~V_nm4lj+8%z|<6tCHq}$79svKie zRgMvLDmfQg&s4Ma4N42!Z)__6sW76#-4<@@kK4q_5dHWN9Czc!)SRdb6v|N#hFTwQ z?sb3ar44>8W|Y&tZm-fksCIHYm!_gaZl$~m)5)Ik(QR)Fha(e%C3ybxqNlGkmo;SF z>aTtqFP3ecUo;B32q&_V&qTJS{iHHj243YIAK#vUO?M}(11rjJjjx-{t(6YBow-!7 zzgJ$=@(vH%+=0VV5L+7r#B2uSLkt+I2yA`jvlPx6wya<62fV=NaWP2Xk$w|AtIlk| zFQ%lWI%4jJ@Bj7JUwP@?t=+V#isuu=21eZ>9=JONm=|~zG}#pjd)4vY)xiI$5%1o~ zFdaJ7^OzGc2)IaIjFZ6EXMF$pE-EiFRTNnuJ}?v3K#oE8A~8g{LbK;x|J>{42;^BGV9c(q@xsZUUmgZmu7Zx#an!$j#U^;Cio z`uFNy;kRh^WvFr8+O^fV0opx#LOPv2;VajX67Zvdtl?Y?h2BHrVhDE`K~sV@@sI$i zk&$HNiI@chl!JwA#{O7Z?P1v{Q>iEy_y73AT&SSlPyvPF)~#FXoGVew$SrR>3@?lP z$Nv~{!{6U9`2W1``K|N=C1@&gbTNVLp2F5~`Pw^K81saG+UXHMsFUP|!DX{5-Fn=0-~^HTRI;k@@BEI?hcD zLJ>eTJB!*uNyY!gLP3!`=J6FdJ+L|hSU`rgQSOZWByEOzRw=(UWJ|xPl&op8!V9IO z{^{8V^6`oslo}FTup7~&Q1PNP9r~G&W+JJK23X$_fO-Rb=d8-`)))~!qwfOnNWS&ha`@T^81Q6p2kFGxsG86%^k17m+NuOEx;;E1n( z`W;vp_YVFCuz2mij*|`c7KTu-Ic*H^wHopbNOB#V{CZSdwKgnSiYzJuxv7D(!P4)l z`>xw5ku63^P;N>c^H|2{3%mg10#1g~i4!*v z19UGCB_nwPBDS+}lBr5#&QtrMn`k1C zIoOUKtzN?ly5nBJ&Qn}m+>c!Yffusy_)66W{-MC%4{{?y1xfEKJTBA8Hih6kGEkN%F*`_Ic-$4Q18Ww$~*uNS>z>Q6)OWp}gPeqUfZzVO`9A z$}D8EpI0;V>wTC%&_=t2RQj(!%C~9|TPZLT z{eHettRKc$^JO0qXJevZD>)`d06AXjW!CHjSZ>g)z#}!noZyuUIsE$(c`E;7Xi|!5vYWXQUs_2>)(j&uzdY+KPzArV?Q3F0jw`bf0pDa zg9PP9^2a?GW2OALNi@j+TY;6h!L7&L5T_vNDf;EHrsF3*yfOm}C1KY|MGFoGD@m#d zdCqyv+*u^EXt!@aj2VFefgDQGp!i2(nH*-X=)}9zBq>91E3hyTjv(-Q7i&La1gVxl zDuK#~pC8m(T$tyx_;@DGkKlOnE^bRw9ANI(~{2vgleY;1Y85j{W06`)`O0a#!NcgZej=|Hq_U7?XB(9ZwOD`fq z2vcr=Y-TX#CMRky_NxAU&C19Zk(GL0^#RUyUPyf;s-%gNJQ+%&O(}!j4#%s$+b9$Y z(Z1a0`C&37LzRw!m_ig+v6-%|Bwqv2UW3JzZvNLPo$3QDIw?}C6v}@34SlWlTj58fjjtm`$%xUN##2>Tn!;~Eu2R~! zlms@hSP`&PA=)lm+~p?hn@A%ekU(Tpw~o=MK+~F{g-I?_d67}UJvBuFqY)uVe1XJO z0jsFnwrz_*N@Q0rA`bP@7x$t{3}Q@3c$0)g@gj6%Z?lz?*GXgdTI`MT36h}QbG>63 zNgCsI6B*iKm~2i#f>u|vn$zZuq2VC0f7H?5uQAsq-eL~ptH0C7JAzOZgble}+9CA& zj^kbVF+v6;=2~O<`GR)A#aB6{ah*6N|mg zY5W55*)W8t4zpjH%`z}YYcIZ}g_d%d0_>~+Ti;5G1dBVTkrFAfz?QNR<%Kd(9ex+3 z-ttX5w$pGo@F9c+?tdeA8d59$Nc0v8I+Lyx(>(SrYYePJdG_6-R=n>jDkS$hPdpmV z9pn`K{Cv4;{`C}alEW-Itk)4YaAn(;mMOHq`kqPHTw-=z!02CTAbvYU}q4E3Ft!&RZ#WW<(n>x z^LCUPBy_FelkTwB(bjhB6tWrUvJb{$>wR2B`wh|O0TsdOVwx9?th>|`7fr1LmNM?; z+5UziA;B%T(vJnjlTdbNAWD*%Lu%#;!iiTYatMivPS(l6>v#1n<tHF4HIJ9x%0kUH<@o zp*HbB$CCxl6XtEekt?^Lk}yH94HmJNB^e7+8$izb;jX-gSe&pFpiPxpyU07op-KesCJEnPMwcUb8=?u3SCn?9Qx_hf6rFSu%E%JWDv4G4^fi9JMz~0 zT5_z&t9;ahwNphc)l2L5QPQkNP};rNrR5WeGUKKA1O>6f|03CED56K+@&h$(JtQRq zsz=frWCNR<9wlx+)`6dHfFW8CAod0hX2{CQy6GTZz#M+W_*fpNCNDo4IVXe{?C+HTJA+RkZd%XcBFv7kYtM?4isuA6C>kmOlFb^X)DNk zv;Zjj4zc}sNKh0iTp}cC#N;kMr-dwKB6TPD$dyyR&ucE>-f4I5P9RzkQJVm6>$A+- z*{9BHA_j-ODMz!yqTB=k+f7Hw`x4^QNi*i>FJ|Q=uxGzL-h9V)Y7(a(KfV5$a92t!dL$Bw0FijpqSgj=b`rEfCA1IdQyL|A4a zj=Ui5a#^jmYWLQ$GsU9ksALpraUXruk_P%xL=gPEH+O+gEO9@d$B!TDv|*1XA!aHl z@CbXa`u9t&53DXmJ+Cza$4ROOpEW<40cT zBaOx?W+9}<0prc2%YK#D_`@^f?!3P@WT^*}*5DovGu?h9EeIYr2v?_`s1#z(voWa4 zq-uhGMxz{ygL$HkG$1^j%C2aQRvQEOlk3*6uSI$!5ltE}l1~wD15<$5z?j1nlCQN= zfBpJ<%@jt>R7<~hCHEIl*wq_%AJOnofiYW0vcmATR0%@^Je-7+p)aX~GD&C~*!){t z(|^-Hk`U`NHXuv{f%9I~O+V06rM$U+PULw53$z3b60|^Nk|ZIUz7HunB*qCmn*cjE z4)!K&Jei~^pIPkIi1@0a;{w1#$GGz2zo{kVX&b*!ocn>X9jVyJq$4FM6q4=7GC=G? z5qotdi8uOJY`=Ho28}y|up+i04tW>&nP@gbLkn&0-`DU0tVUW+I{E@w4EW^)aIg`6 z00pFoxOB(~mH&X?CsGpW)R0NT&m>6T239z6ZJ`WbLQEEUUzi2@tPTIu^wwGB`1)XMN9ug!`{m>VLy{7fjN}3#^FOJ7E zb0r5IJ{A$(yluPRnH%r|Zm{1M%|)iqX{m=+wll`ppCV0_H`sw!u&OLsgIi4-Ky}D+O;6|TB>JHd+B5XxXu|$D z^Rq^<=cT;)P6h^!2TZ+RQ!TZ#7Da0=VF(KlRVjHXwgmaAbRAR^be=!n4gj)_mX*x$ zT;zH9KovAlUi7#&g*~)XOFx|D$N@xtBOfys5>Qv10}ZqI3`Y|IaNE3_GY>555VPlK zs?D_D;NI6m^3-G(krxQQx>iZipb zaX>l5L!jq39U72adSNYZbYJLRzn)D31&C@0R#_8m2;^N0K4zPO-?!4@FR3{G7;u6h z*7>>dD!f|z1q8!nh#&}TJ#t@i31vbFIOvCW|DLer2gL`#iOKT<5*fDT=Kv#KO>4CN z>*Y!Y{Oa-f2`_|M6Oh#)as=@Q+Y6mFMn!144p^Q2;JQHAPc}7n>BVyuOi&}-<~i>o zZ;kR;UV6B9NiomU8}EsaUsj!kY=SV-_UrU z+zU0u_&cA(aUB^lQAmboi8mAEQ9DCg7Ep_r(J7^tX}mxCOiEtB7yGMuoALQ=tL6SY zhE6{}aN}IN5l;94(c|{^_QayV&6A)zNNv>BRhk~h^|ifPG&t}}&pVg!9*_8GaQjOg z`2gTvjKpLAv0g!$Q_-nHjetc?Ct#+xM@viVXO#faAw^VB+|8p(Ju4wCB-}HN8wn0J zO3Equ`6_rt)QFfEW@Nk_rF$Krh0xN{GEoMaGU9)bZ5oUmyb<{)r%FQXNka^-9u*PM zvi&r`XARzX9Ejq1DilJpt3Cc(5zC;ZK-~#(8lx0Ue|!Krg#c5MaY6Jg2Fa>8*~t4C z6;Ac+Fl<%*fN8|!#ioxRVjCqQW$r)@h69S~D|v8e=$=K`Y$kxSB+HfOZ6J9!J-c!` zGaZjgy_%wo0M65;efkGQk1Ez9I0B|pGWHe8@-+vnW*0$Nbldp&;zFgu^Pis#|V<@L7I%^XqT4V^^Jb3{it=I<)YIax9=n` z)z;_X&;GYwv6Vw;MSL02N=SGBjP&Tyqp6L?qeMZC7Kg*1)3u+2*C%8@7Ey?doI83I zfG4e!8i38oNXfLU;bZ`YKDVR;l_4pxNp#{Nq9Ea@&ZN;5BvVOS`{^O6$6+Yjq~l9m z6XoZBs~8Oa4Nz`XEZTkUI7t=)b*a|`@ea~;W>E;5Lu8f^B-+rXW(0IV+5p|hkt$L^ z2Q4EDGc)Oc;(rTh6^AU!I;0mccEs{TE0h-5Xk~v0B*V{di7k$henc=WOmrk+64`I+ zMxjLwu@OCL1OO#yO``zmkXh314_yoi;z&l46=32JMFKHkL@?4KExwIU$Ho@!bKos2e~X5BE6q?I$UJDxyzI&37ah*VWtWr_+Wv8w)jz8u9PEJt%;# z`RUp9(d*MuTEW;Snv9YKecH5BcAWIdGsYajeoc))15vlX?eiPU5S2RNTZ$pk*^RC_ zmZ~|hqj%_)+Qz_;h~!bs$=jtl43DZ?ws-4Ro!t$wa)+yo1cx8>|HG{XXw^*- z6N(x9OA!VTm7A`n5&67Rr%t(*as#Crp%##MY>2}E3sDP8a^BF$Q_(r&-J8Lxm~d@3 z)UoXJZ?e<&=vx(7IdnFnEv#1MMiLVDaTx+7u*Qs_aT-EA$0-OT%uZUoB)->A=tQw* z?S<3`!k=}0xU|G@k0Ew%Af~K~m)dDHC}eN1k~TNERwOowX>+nx_1G&h8@{LCLL#s# zmzY!L*01UkxlS{wjPRSFu~A5mJjsf6Izh>t=(xQp4s(mNw7?JG1M`8OBneRM1>^nE zvGI`F76EC7Ow~nGbC9(ihbGC8^7>b_l48 zFv821!w6O6P)R)l)$cv>3iW7xV6T<;^72x^4y2w8IYxW8aFi8c-f4|CquSJ1?)?0O zvB|_RI5ljdt$J|@AE_$(+dK|uWE}pl&-weyOs{0Km9^o)EBwl{8@OxHUIX`)hufQpgi*5-raF~Fp7ir;|>ql$1)=#RVPlj9c> ze^8s27oav!*m0=AJJP+lVJCM)%wQKCns`WB728RM%e=!ph@AuabkZW1vchkJ;{ho2 zg!vI~MripO%)E6l=11GgP^t~lLZ9>g&u>q4!UCJKn}>%YM(J(n@zCy3Z1fZ=Rx(*l z4Gl?;u|hRTuoLrp5~oQF5S59XaFAoEOXLJ{v#WmH@lf}o#5pitBv+o0JP#lujMdY) z>xV@}MPv&DSV0#MOVtnAn%NZjPCqU!Usw)b*geq+4+_(jJM9)tHhvp)b#G@){>eW7 zd)FN2n56@I7R6-y}92hDyT(H>=Z0Sy|a5K3>QO zq0T#R*N08p+jq|ucvtEn(N;CO8?#!1AGHjm5`ma=RMG+e=|jq&0{ZALL8A{YSMbhf zU-k--+gjb0sf|NezYjZS5UBY0k-FvxFjCSfJPOH^EWov3s{J+yNb6QK*Z11I0Nj8amzH#8d0dL@TZ0js?QADUhu>?Xjy7YeQiM3m7 zgif9d?`+lBfV=kICk;d-U*zHpPo;g@x!jwDN;(`*lF4Xfv@|fEcStAF1#ah&(_XSc zB2V8G=UnW^n@NgW0*=pb!#cL2BFBxqBP%zzEOv!d)kLC%L!1N_hb<;wR`0iTCQr71 z#jT2>g;_~}1oV3kdi(nN>d*t_+rStj9qgo^Oi2T0@}N-YMUCWmM<97+fSnWV4T;~J zS*tk;C_3ab8>GAk0H`gCBbRQC=|=yf3S#}kxdbi)UjPOqGL>rjwf#^#8;y@?WSf(4 zH_<_WR0*#ld0NbLUm@F}zWcpP*D*f`90@sv^lf8DlcYLK^gY2)lHFM_>bULDl8Hu= z^F#xOsYSYtLEs+8E)Cd{_ic#>1TjL4hR&3aSI10JI#!dV?u^(g&lPX7(T%Q z)6wn01E_i+n$PVA>tYX5u$GSebddz)6Bzpek5;}7-1!)C%Rgju)M)x4I z5abC4iQUau20H^y$PnVm^-ipnDUs@dir+_)W!M>gLPC=KG#x0UpTacn(=k#IF@*qu zs?kGZ4Sf@hswZ*C#fO1=Vw zP#IgH>IMi{JpI|1uQwzIix9F?fZ#ds_0^Dm0MF5JSP(lF;rACM1o&@CI^-=UgB5+dt_`OOenJ zQxq)-pz5(l79^$3F*F9L$ zaAT3%UohP`Q0k3P!HpWvjx8r1>6C+Yo#;m(H0(ncpDwX4sz(OOj_m-r$gCNI& ze*_k9X*lq$d3KUi63mBoPRBd~C4m;Lf}kO6jEt|O_{i7OnCcDar4!6Y4)y?DT_41c z_8xGA21pQpFOO`KNUyp&d5WyDaYEj=xoG~#DY`fcpc7eW40ukIAYw*G&%XB`gWolY z{x(UXD-K;%_*Nej3SUIxC6F8zf&pFE+t5qUUlVyJpv^Ev85tseS^*M4r3t%gVW>KU z^Bcmks-dLo&y-D6l?KnFF|i(Jz&sepS-Rf+dvfu`kS67b?1G>ZEMb_fu(|rMJ1apu z49*S1*Eu;kk=7bwg<>tMzAz${mxlRLP}}_oQkh}v!eUKSWug!bnIO;HOg-`u8qX_+ zp%vIQC5a%|P5ow!ia@CxOREyIQV?DG(4IH2EHkpNk3J>#U@*?`S;RR>6X-=~{`FJv7<1P@nJ8LZa3oCtP`sBmL9$R`kdf{tN!C7Tyg_mj6IA`M4<9~=)B@dTQM=Io zfuOLy@JMfOG@KU}WcR-1ZJ!Xz#8cQQfm@zKr6NN(1)Y=w3y`Oz8^R^L63V8Egj!? zHT3$7%5GH-!TW+*@RX5svKT`14e6iyn_s4bFFs^MGIud+$$d62mr64kE+;Xh+eNxP|Ry5Sx=93Mft! zAl*Dpot3hp{5Wj7-(%#N~!<;N@*oSLsELQbEf{DvrK*Mlu_$T1a?U zsN>W%ky-=}ss*IapEo!7P8p);Ci(#rU%q?^x9bpTgTnXPDHODPM88r!c9wc5TjVG! z>E1kaEm{P%GbeT0mpZ`)BvIW-hTEuFDhnJe5~|J*`I`pKm@+QzXZyF_19N?0>|5BF zO`QRQ0d~pUoJ8!gtf8Sn!G=u{2YtLl9PzT$U5?lCTEHxw0!3%tcTX+P_-|NX!+2Kc z&99#q$~+og{g)gsoKb@mWg>XE@8l78{4!Jxg(C?)$Z{}L6d`~FwGF0%n(4(|X~JA1 z?2}Tne3M8RiVPidQ73ObQgI{z)sT*HnX9TzKs9_ zq;C+EiHvo$;@$bfrH+hTIA@`^kEDffs>8ZeR~5e!8JW}b=YG-Fp43$H$-m~k7?SV( zH@0O*jl~KMuTJj^7oQn7audK!C3#!ylk92;guLBRiU@NZbRH%ODwrJDHxB&M=$ylH zmrv8HR8J=QN#}>7!9V!gQCjsj95a;^cefd5uT?D_I`FM8nnW|Hb<^zMyRE^N8DFhXrq z8)}UOZGFp!PqvW}5q${l%wj#JZxEdM%R)90}$Mn#ra=* z?7KGO35`fBA^qB=*Z}&aSejC}c6)ECcJX}(ms#Y58{!Mig0y$!O4IqmWJP2k6<1v-;==-DYG#-*u=r%|l^$dqoG+8i$5lF$gkl za2K155w1z6$d+tVp(1fHIMTDlswmkU3=LTq3aMJjlAEH((agu_b*16F@L(Elw^&hIRt`H}k%I&;POb zqKbdNdp90u`H+TRn=eBu5Fd8C0vjZQox~v#M;r1de>>JNWGR1^K z+>v~HEA%a*YlV<6qTP_FbyhR!?<4s+(w;;Fvf7JFwnm30U^L`=((#0jPhZ9i<3?HJ zk0XT8TCX#UH2o#w6aZEwAp}ZHXrijHm<&SL-QCdpCMBOPbC z0ig%P5=cmrSZx%NDI|*1KQH9g5>}%Up{4+H7N<+S<-bV!OEG^*w=Oju!qLwk2YACb z#K6@?KM{;H>$Lzr8+t*tHT`o^W}^Ye&WvJeTM zxO8M2CE|pz?U0PTyf-XBL}C<>n~NyGi`=f2btc4}l-BRY0w&ia2K|_@X|ewQfOx7lGj}pw(qI* z;l69u`FZic+vW<)GUomWz2S&YS$H5vzQnn?yDOYHaU#jyg`8r7fE6%4Bmvxb9zI(yfLh@8=9NLUFQTK}SZ%QD{T3wiW zj5*d?<=A5>RH%CziqJto6hwp8aXLFYGwCMK53&LWdQaFr#3ga)x4LxeiAJbsIObUs z8k2S7ovD#_E(%fbD$1?zkccIW4U&Aq`$P?4+`D%#IUE!KpoX~eIGsv;yxI8JQd(Up z8SV4G;ba&5wGBC%0#)G>qHyDhB!w(WF{PJ&?2vrM9#n&1Q%93b?QAWBNyC87`Fz9V-sl`#{|aHaj0Ic z2z~f4jHpZaIc#4Ty5z7~lI0>{5r|d6MhxngO6p4tGrF>E&X_Ly<>9VU6A4S|PlC}# z4AV$<=SF8pVC2LHY+U4+t$^G<#G@gt5-5*Tgz9lmsYVT)WNUyONe&6bP}JdwHS9wD z$e)n}JSl&Og%Qh+;6c<0lP(;(PIR)(+d!`sP+HNqUvCZ5mwX@T^u&=@v>?aOboApf zV%bdyCC$tzFh2ZE@)?-|C;k!yC`a!;X>UbK7&$YV3^Ou*%yldA;N&C*5(|dB0bxSv zNx20R&^B20&YRsNhYB5xzE>^7FcK{h<0++kqFb91~VO}rFY_?(cS9&@;3$W(P#EnkYVj8%a^&^%`f+Q`|AW8u-%f^I4e{7b3~ z+?PoZeFc}a3j#LuwkPz%6#7o(@yRS)K?mQxj$2`XADH+P_ zIQQ-WV?Q2-92UhyL7MvC8-HEFYlt?z)cBhg1iO(ewhm6|3lA!Jue@AA3Mfg?BUA?Q z4bwLQ9)<2U#V9u*aT^?GtdW2H5?WfPm<0ErmFC@!n`~<_sUjaf{1<3`)0!5`&S??g zA4Uqu?$JFEqvb+o&@dc^U6~LJ9Iqt9& z8+4MZV7Tpk&`(4T!os}tcY3hB5$gGS(C$Egjzxbi2^8QKBLK=6L>=VOllT9$_T}MN zuWh?eqC`c7%1{zz7A1;OhKkCNSx9Bbm?2Yxp)??rL?k3Kg~*&Tt<0H+h*E}-Bq1U8 zc|Wz@_g&xdef!vZAA9|=jy34<{O;dQt$HX-Seq#FWslc zf7vHcRl;wR8cO0Hf$l_Xh(W|SXE$sA$GM-ZP~6Q68{qeOHqzBlG8bI~_t1W5nxloP z`C;?IYQLa%@%MBMydD_0j@32E*eRoGf zkL*8S7=9a>pEEk!_H-)ShhIltdj`G6@=H|PT4LZ$1XIeNq>oDCOyc=oXV=!Un)8_{ zlit6O$ZN@sD^cEr-K7iBdi8T}g4%x)=HV}4e^5sJd*Y{(&1ZJ2KO12|MGzfDPn{yS!5m@j{GOsmGfDZ2{T( z87el$8PrriGf2f8hiZw~p+G8x86#~pS;9xjy9|D8Ys7aR zlmGDdP%i|GQ4ESKk6e)-=@l&+{db3VUlN%{LU&7(GSqJd^M*gv+GYB6tttBYcP^g| zZnc632U<5|N{Mtyy5lY|dvOvfC6E5``Y1O*svE)yMRyNvG{d`01Cd>UsyVjC3Y%wg z&S}2JcUK{PKKx#h2ey809dppMCI2ZfQa74B7bS-B|1u{9fAHTT^6I?jG!%Quv2n-w z=Y_RdZ2s|y$sjBBIO030`^*W3-9d9K{p?lF`h>S5ll|HfR!IZ37@RIohHSJBY%qx%67bq*`Fr{JDjKW)q%m}LVY>*7X1Kx7k%=FvYM!F6MYe(C1Dbp78$0${-fA8+ zeZju>YPGIb-cl9{oDP-2;y7c49hX_bC3R8x2MMJh7SK?cXqnY!+Dl z-uFpEbX+24f2~0u@ha-So|YG{cLf|#sXMABHj4$Ip)UZ+}rD^AZf5|dor40EPI0nP>bMv33yo)Hg6bZWW(h@$Elrc~(o~H~R8!=l}tYQ4YdDnq1%v!ftrMIGC(J-KuRGkc|z16#(kuy1W}iUhKBgKNwu$|bZySn zKI<>9>TNQREgTxT_^-L@-goMheU=LL`lU}``2+wUI1a@&gznwaYhi8)K?kvbAmVEz z?k(_K0OVa`)Jo@d>QilUZd%9*ZoPcRpEOG^cX2RK_ye#A_x_Pve)^MJ0uUAA<5R-y zn-&Zh(C%ubrQ`}EYoGmYkWr9GvtL(j)+||sQv3iPa0_yNE@}IH!7YytGNBIWzlVo& z0i)?QlJ3VKIj$kYc=8=DtU(b`eYfV*uGE}u-X;!q8K&mRwhl|TyH^>8a+8!U zPzI@mMJJ?&M9=ZZ1qLkOE3s)CC~i9}9yb>_?#N2a(Q}-nPuafTQeHlDWNKv5iIX(@ zN2Tbzn*4h*X?FqQbm)3|vJCbvV53Oyy*RxM+o!KAd?+i8bH!_+H%?njMABBZ6^<_0 zH1h9TcsY9j)kdxO*^>tp{2e1QQq~&NP*|3im@UJ7_J_Qfg*&iLd?SVXY+BcNWq4!5 zW#e@IgL>Z$PDmDR}#5+7F| z3kkKWafG`uW@YGwI?+k%HVv2MH(f}JYrXE|9)0*oLF|O*#eoZ98Of*IztV*1x4liS zW~~|6)t$v(4V3MZMtRN5!XlTcAL${h4)wbneco;S&HL2+^GD%|NF;(t-pIk9`0D`tgB>&c=MVDqd2C+7l<0^32z+O(a`wc5X)6gzBvm8`bVz69_tScwimq9G1_cvD3x`yYG;&idoR zY^TjSOG!K@mbKu1eR6w=9vE@|0YsraXl=N{uOOA!^??ty>p|2);e*_hWlP}It{QB( zI;$bU@0!qC-}ydv*!I4N@|dxN60My$d%D@rv(e)gc;i z76AYH#NeNw5geZXtFm9a7EK|-Ab8pYRdjnyamS9CPap%+UKHSjWY zkjoPqJt3-MCyO>n4yp~X9;E(pRM(BFK&eT2V3*&|Mr=9pUS=?shV(vOL$`pA0r9of z>Y=Vdpo`%6ylI8@XR!P-rL5a(-#yXaK1;x{FLUU&jG#xJP5!e7gy@}sA+=-1;p#Sm zCUO?_r?FrcFaj%Q2eB2=xK5DthWhv{q2U~`g{HvUYR@AZ%uoY!s{m$wAyW#z73{<( z?uBwkKI~w$AbXnK*5?oAO+#OsZ{OQY>@sF?K{_6hLifJc*#lEq7|yMjx#Rw-QPoA} zR~0LmtR{umfcRFr%!AA}1@+FG`;yk?Ov{&NVHg!A#?0KYW^tD3_@eYaTCd@g;LiV4 zE_^BcFUkc*t$DyU&V*0h1h-bw`nIto?*Q=n`pJwA8@ht>*4V_iDl@b9pOCf~_URTY zfB2<fY@!4NibKJ~AP)~RaL*1!Dx4j{d519bKoi+i zb9;U&%@)Y3Fs ze*XyAS`Z`Jz8nIjEua^#SlVdsuPRBuf(LOQhtz1pbdzc=g@arEkvBcnTvUTDSUe7D zLba=KeTH$RdW$WbC2m*F1ugu+FVgS~W*wt(0CtJY!LIOI`DHoZltaKb33Ho_dL+`O zn(BD9d>xJKJBpr;SBayT>vge-YjpO$T3qSO92vlu1AaVfMp0;~C9w z;?1hZzD;bsT$7@Os^7toYTmayZFt}wgneq!b>g0?WIy447$#6_n5U$`a8B@i6wfAQ z;{BV`pHBQ!@QO(UXu_2;fhNpB9ieB#P7)v(@wnR#{=Jxf&FH%X%w7kqFfcK-WFq0C z_8YQIlmw6w!<3dx?;^}UbeKpN6jzQ=1H;3KgxLOMmtemHxmAY7@wlG@dXY@@hqpPL zS1`Vyx69Ape|zAiixXu_5^)|%rqq8N*3j~7X-F_k;a`}JlVc6SC`^b1TBr9o-Db3Ci1rH#r+(Rf z=n9&_PYvtO0Dww->iNgctoxNTn3wsl_x&&1i0!F_<5U;=wRZ1;aLY)M1*>Ct%fEgd z4Fy*gER-E4#a_an;4`d4D6hoK3DGEy^bYY`o`X`~J0WSZ@=~=Ee*Zfn<%G8qyT3jt zw!}2nb+_EFB)5CETYcxXw9uRg|B`{V1EOd~#2$8eAC@H4#LBU9>E_(glKtiDzF1eF zg71e2+hJJ$oh@~pdOLqPnlaHZyFhjLs zy4(THAN|YvEFv=@pJL=#9}xTz&XhA?l2U0%&3_=swTYZFnvISmq$b2VBCQ}EDfrHJ z3168A{&0gQF(Ol1`F4h*elmxN}hNq$6AXxLzO5+J;dr+LL3jnW(V&- zZ$WcEvY_W+my>CY%IkkX_n@G)*R{qLSkmc33e4veHNMwGnR&@+O?zj(Hsz^|%F zzt{(ZYH7F8J|pu8VIT8T_3XKe-4Z|2YMFk=Bfk{tmm#nzM^f2;z@}>vN$QivMcDk& zSrAc1I6e_|b`IDnM+MM-r{uX5WsTfc@5M_=El+HIFrGm_%CbIk*Xg;62I%~d_Q*J| zxOedPHzbWR7@x<2oS}RSu60=^B{c93_*IqdmrTCnH>6a8P&>l81bT_<<3~QPo7?q# zBOZc;??2xX7-=eM4&`HK&YVe;T73OaDPdas)kO!N$!k`dx`3O+>Bt>4sfkDSvGVeQ ziw&l_Ew+RM)%*Ah($9fi=^n6NEYGz>r^9K6-G0T4R@FgI#|MAo!p4uFM6v`~S@bxq z4-!F-$%V{L432{~Y3%4}QNPSoaIkGgWJ0l@ z0h^OaQ5{WJuU)f3KnRwgd57g@8_tgz8`R|6h?V(+MYE@OLn)C$CQQa3U;D58{s6@9 z{a?R|DU(p*0V$S^C4?Nt?)|L4VAv2$0^A^|&%)HS6KNK!u4m>O{gj`{JE7zvPV3e8 zqPG1vzMe#T0t(k{VRsliCgH0es(!O>SHh+#7z7xQnVh`JFdaGHcl#g<0GmJjNK6X} z;YHJzN|dzv-kqYYk)w?U84>k8x{2O`B?#>W0}-L@ z`sF;bbYgk){V1|ck2I^TNG6HpI52!ZWfEz@UG8nUkdGd0xz-Vc9ic!{=p2B2jkvCZ zunA5Z)^HfS9%_RYykWvqA@htw#9uoiUh6+T-W2V3ki6B21POCvirY)PC6XYbN2ufG z<`(#4f>5p?J`~mZi5=98|2>H}`WY;R2=UVga&{o7HDiEA@%1Bn@j`)iO`yR|q7R`j zVU3dE#>kf|e^o_(JcDPo zo&bpkA5ai=VRRR?x0d+6c(?jF=g2$+j34QiY$`op$Zn}XFCqHFT+g^ON9pT z-yTA6b_Q)jQVfY27xEM004^Lt9KhkltkK?5i>swEYIiSAB$T3M_u5rvu`cdERfn84 z*tT#OO+YGWjZs@vt0S0gAzOedbe`M`gqlwT0B|w(Z0Gz_fsU#j@ux~)?v?+4g|qoo zz^izkf_nb&9tgP#@XL2#=bd^!0FA{YB!FtfEuR>r3iN;^7ewTS>QNi5K-27jJujI7<-iS-XzvL9j(AB~oTuc! zeR}c=y#0)yv|og$sU%{9&51W)>T99t-bywNk`!|AoQIs3VG6z75BP_Z)Up}b6bmQk z$mnp0G|*$PE|5qP_c}7%;1c-dI64{c+&^(i+I79@))sCI6*Wo*l`I7kGj{P)KF5dc zQBngSCih!M9cZb<8J93L$<$>sLxT7udCq^|i0GTz&<;5`r0yDE77!vLxffAFHG|um zK-%XxNeXH12neYFXbIsY0<7Gqi{n-D?Thmw2t67(p<9Nr6OfJbpB}jWj&*|%ueacW zA>(Ti63D6`Gy{gDMQPs@zi^$j3cBo2nh^V*=P4gtu%53cndWgD0`{O5_6Tx(W)~M< z0#lN>9w&ny;h@ucIug`>OjAhaB}zTJ_1-d2YT?`l-2Oq@*5CwKLH-L^0Th^?>qDb-u_^;?AFLDtqz6giE%srvF7r}=ox)tJc2$_c&rfGw{42(4F`g-OUER6=kDk}82jG4RsdmwtM0=}R01OJE$>n%lo8()1VFs|X3!9AhJ&ue zMhqLSE*!5GB4YLcsdtG4F`S+J;_@7p3?{UpBr!L>_)Q6;zx(d(g}F81q!9ByxW5wv zBap5zcf9KRZiqFib49N+ZEOn>&?IvpF<$g28D4@B&|pQTa5kd=oWyvJAR;??F;>b5 zsh-lyX3Ir~z(prcQB*JZV36%#m*n5y2~ai%+y}59C$OQ-mI-giGU>>aU5hA|aK4v3!WY3KO;4>mj@P6k!2uf^a2)LLhbN z4L(na@4!$eP|@Wcz26C=d`NVJLak3g)roz0Cqz7ZPp(*C+)XhuYdQ{mwnO0Ih^8z? z8-cPR5hOh{f^Ub2{}L}!@=hZIQ$j<;C7+0N5hnJ;q!@wW8o4%)!2y&nqWC| zFEOMhtTh2tiHKcJkCCkNDw7dR6FBL85ih}2A}uEj1C#f&o}e4kBJ(`JWP^NPpUUM$ z>;l}S9wPx|Oe}c5)@W2y<;i6$q!O{Y$!RCy6b!yk_s(Le%2~Rw>H6IR7A;;vwFf3T zA=#oaLH@_DXei@-wN@E$qeECA)(wcCQe@*3^bpky;oKnErcQX#+4C3H739T1_T3CD$CZ^ZTpv5x?@u;PsVDwu-8iR4&d897gnoy6Bm zL3}1eBGRcKLkjSw3&Hx^k~FQWKMAfR2t0%V`1jEHbX^1*lI93O%ZCRg1DKGxrK7B{ zCXf@Hj=*C#265=b#cx;f>f?w_E211AKr*3#I4F}HNN~z$?*JS$;Up35AnbP#+(|k{ zY({|SxU5*WtvHDyEJxNJa{5im1*n3)KhQDI0{Qi3FDfl4WN~uHJRCxV1u7oaMyxN1 z=xp!IAb3ykGaa8(AY*y}?uQ|T5krQWj6^{+l}SA!1dL=L+%0634Kb{cULchii1HAY znz_sF+^It{41@_ufO*8KqGPmC4p6JZh_sa@yqtiDldp^nW5-KFK?Y*Vu1Og4q~6wC zkRXWyHY)JyCY=8iG7T4XZq2uOCS77+0^Bb%wVK$HB7qfvkt!K?2An+7nwtgl-^ey6 z^9je@aPtx)T3iWa0MpsqdzM=4dbbd&yN?aG8`!h8_vY8ZG=TWQaY)q-Szm%g9u->z zV2@|A8^G+q^?e4^3Swc0%qtZ=)d9V7QuF4%JAW92P!JViI!EwtI5Q4Hrq@FHmGEvz z_#Ao%Ly^{1{JeDKL$vM-Y6`-QRvy_8uer4GqD>(Kj)oqe|qO`zR$dFPrZ|>{(8{d zP;heV3{9d*MajD#WNvOg4cXf&F0KH8Y*V?%b#>RST)C2-f#EWWqXD%%E(XzMn|#jn zVauHIHUo#OXLK|WM|vMWOKf5yJ#D zGHiUlsa9me^n~g;oPk%gijA#2?WC0zgR86Sz5Dkc#m3UW-bLZ)(G|(b$;`~mULgFR zLL1;zI}AM5Fq%_}>*}xyE4OXiR*cFMV!~xwy1I|>ym*)rgqoAKwy7<1oz`}C2du0F zDJD2?>tIxE(B60ruD;={$5BF-;xY?BdmK+%{bEx?V|W`5TPzZ;X>5tHu@4Gp37Q~r zI97p@h;?de3X{l+f#Rzh7|du*$@3|4><~DQR?_8b*OshXzkU-a$fxS#?%(Gi-o4Ya zvyUD=T=e0?hf`8bib8x)W5MX|I^u;_ySHw6Ap}q;-~m1b71oz+13(htr&-zAN=J??$1K8*A6Kqi$pD`l8=@E6 z-Kt(w6W+4hg-RRH$_P)_KY4N!WmG}=%o%=U!B-I2dXWuj3_DcU)O^Flyr;#EIGps1 zjB8Sa*I@;)il$~}4>K~*wp(>0D9GZynwpx0w;A}P8JGkkEhFQ)(sTdWE%BS644C z$2f6GDXCuMW(r0|TuA#X>^j?8TDT=8S#hH)oIbr79rcJGt1xTgtVk1 z18KaX$uj$n3gl&rC@H%;Zl7~@&VbiO($R;2Yqvq|M=|uL_sC%NN~v{6NlYVB?RDkK zVw|G8=LB+zr|r$X({!Q`pRzTRlpj zIFHJ+*47G|nro`7t8d-8Q${1@#mFg#kqr6m5b5rm<$fsW;n|377~YGWgVA|c(5)=1 zuJ$uqDP~+)Ikm_)^V~S?k|iHefKVu$yU)=hkJNInLtkh_uOq&QD+x`=H_t4XroO%p zLZ|szt@H`(lfaE~foO4U=Ha11%KI1OCN}`toEt1uWT6Y2YrpNO>B}6;75mYKqPxOS zf3A}<$Kk1}s!GI&ElxJJw&Iu<&nazBxqJ6+Wo>OpzOb=2i{WZ{dX4-1jPw*#Yl-RU z6(b$b$W{-1MU!Xq9-h-1Y9jk4Cu#C7J>>cFwGF1T5nTR)ebuMVo()3IrA(U`foyX> zO0cG0BO{|#tgLk2`?y^rQ&Uq7zT@uPuc5JuB6=r(o<7cfE2yo z+A#l^G)*1BCqp3&M5Mk@X8_{ds^bSF1#D5_-lr1Ot$6&M{I zwJ9<;Hr_xN=EE$%`#m~GV}Q(hfO1g0Zr)sOYHGRUu3fi@si_Z&@>580$53kXD~S0QywXJo z=*TE&J-&dX%7t_7+UqddjIXz~vXaL=Qj6u^n~+e5~gcw@tr%(Kfz@~ zE{EfQk1XScy%*`dE-WY?I;1`$>#?uuefddTmp^1Z_V0FHeEd&Xzl~a@?61FQQ3IHr z4aB>`_%#Kr4N5NjbRZhSTyO-C2#c^{lylSa!33hVw#)&-98sZT==2ap0EZpIHJ$Wj z{A;BTl`%!OzBn-3#+RI&o~|p9XLII^Nd=AfzLN(6qgicjZMEG!=0Wq*BH447XdUuM-)WN)N`7(V(zVfY8v_CYNUEcw!=@T3T{3mIwXN+GTsx*wg6|lnYg;v~Ux}Mu z_WZ=551gMrf0l96d2pB`TyUPt;rQ|6(=#(xvSRMjbdRQ`q)k8M#@^OBbMUsGAA?KR z-m>$ULWY&^MGZbSF`)=8S5y0gown@Y_Eie9uVrPml*|(r7B)=}ii+AmOn%2WJwkIX zy)u!%VQy$>_{Q-Ku7py!*$gm5AgRuglM@v5qYFc%*(NEekgc(3V-x>DeH~J@5N6va(D! z_8>*mDmbaGp;1!)d2sNMmVlj&jUp0=(RVL|+C=y1V<(U3h40g61!`hiAu1}WVrHbo z>b0oS_L2gIUVd>?+0JNZq@$%MgQ2~Kv2#l0G4g)YaMlKW-6wuStQ;NHJSFBta zI^$}Ox?!aJF4`9=$C+3j_5_ow8a9d_K7VFhx^!vAN3k#ParK@2*=uou@`X*ik+x_? zq{#8f4pfPE+%~9j;O5B@&Mqu8Jh|-`GV9IweIUk2d(O*JZe(xR1##*diDQ;&#xML( zNR}bb#7$v3>vlIjJ-yz~0J*GA*FiP~1%(XmQM4aa#Enw=~;vW0nm5YmO;&Z#2_4iFa_TC?0Ao=FqFskd1 z*l7oj9b1jW<91Y3AZGVHG0b0$ zjoupo$fOr`EsKk7W%N)K=|nH39?=$^W5+HR7Rt7?w+q?0)i2ztKjBAzBX_^LOVR0r zJ!_jgKyBA^xHp9wY)blZ%MhlRRR_W^Uew9(@L_+wokv=#UsYB4YKuHcO;rN)*;PU2 zL@%<}&qR8fl6@j1dcUxUh_exLX?eFgz;y~(y-J9{3P>gv-#NO)b!PJv96 zn4Emf&DN`C+|SN_Vz`wN`&Z>b!lA>58BtBvO@(!KbO_iyUu^%%Q!%^-T-An5J^9_m zkbkT~dSQ2~zpsy*mzNgSZS>2R|Ah|K<+e5*dRiKc=2&KDXSce2uqmFA2#Yb5hK}NT zXBhmQtI^RLf%y0Ux1)3=2N1Z{kCLoQVk+~i zWy~&n2a+2XNe~4(6l_nnltko#PoeXb9xRrPL-#j)}?g#ybu3HTTnMLF6_Pm!T>?sB9>5`7up9I3(W(9m+f5BDM>KHgE= zyXyHhWIB#cPPaosXel=W1Iy7FVn9U<^Zl5@LQa?svD6HMV8IEgtfqBcU|`@h#Iuw+ zxtQRJ;$jLZ8TRd?u(Pv6`Rs!Pm6Xcs_MG2=G-GVAadX#mS0<#Er@Wyk*#q++A*cG- z>}>e!zwrhty!7bNqlsy0p&8)w`0*AkEv=ZC7z%tE6W%!CYw64^to1As_Vkt6q$mz&Lc<~tqoHp!-W0%A zV?Tbh4>~+}@ZiJ9$dg7%Eu|8^O+K=V**Q2~`8n|OoZWTi0<5S@0CxdB^Q81JtTF^j zb}AC(Jd6=vhYpXSHBE<{D={TS!PZvfxQC^Q$=I7KHGmhmMMYNvNZGHizkc}h=U1T@ zXu6C(ptP~+%3Fn!f)X>i!AEU1QV+b;O|r6_&d$#KqN3$61m!IU+O`g#dg^t)5{j+{ zw01{2vl-}&?>mw~*;-ZQ;wA(B#$Uh-rD~hvkfV_IZE6%$#yAx?A6RsQ7X2mr%jCh2w z^`@>vO>`K%vI)Igm}b%ZHq}g67x* ziU|U>f``XmG#MPezT1O~5THj%ZSC@%J9mOr=arI@qWEy7_R!#93~DJ-teTjaT?K=$ zq^wNglzstEc6K(5r;M96792PUyKPcnN0q z#~~x8U$Np#*Ro&!kPvu@I0ps|uwF$|Xw&A+3Llz! zK7KsaruFiYr$WBi|ws?PMeWwDleJ60~>z;HpCE&%lU z20o*TtLD8}<=6g0QJnkt@2BK3JRP5sTHS$0;G5t#=szs@4k;g|cbCwxSEk?OGZ&Qj zZ3hLm5+49+tv-zk|EcGK2b&>|#AyH|LAHU4?r1Zay|Qo_?ON8kEUp08JWY>8$y`)| z4>Qk-FZqCc%7GPLTvqnzS;9oR!{o5`k?6f#l-#dPb#-ZXEEMV8n|^=IF|z4!o}}Sg*W~~_ zT^3!AD`+ptJq};x401V!aMV1^$=MMoVD8fQcQ@u5B6}$R~AvI3wDDA zd*+aeiacr;U})Sd41n$Ya9J03cXNULx&-Kw%!LTWWw@K%(8_d}nXvS^c8!OdI|g6! zFL*_)d*``uN$>daUQGLF$`fJO)Yq|(1SV$e10Uu9jr|*`|A4=-KO)yO`LFUf%BkoW v^skAMBy@7 literal 0 HcmV?d00001 From 490e8b8b77da6a1921b63d98c64d2c860bd6c28d Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:35:22 +0300 Subject: [PATCH 63/98] Update student.ipynb --- student.ipynb | 32 ++++++++++++++++++++++++++++++++ 1 file changed, 32 insertions(+) diff --git a/student.ipynb b/student.ipynb index 6ae11349..362432a4 100644 --- a/student.ipynb +++ b/student.ipynb @@ -6360,6 +6360,38 @@ "source": [ "X_train.info()" ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "# A visualization of the distribution of the target variable\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "\n", + "ax.hist(y_train, bins=100)\n", + "\n", + "ax.set_xlabel(\"Listing Price (USD)\")\n", + "ax.set_ylabel(\"Count of Houses\")\n", + "ax.set_title(\"Distribution of House Prices\")\n", + "\n", + "plt.savefig(\"house_price_distribution.png\", bbox_inches='tight')\n", + "plt.show()\n" + ] } ], "metadata": { From 708556305afb728bdfb4ed03bd36420a6104b645 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:41:31 +0300 Subject: [PATCH 64/98] Update student.ipynb --- student.ipynb | 48 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 48 insertions(+) diff --git a/student.ipynb b/student.ipynb index 362432a4..f5a231e6 100644 --- a/student.ipynb +++ b/student.ipynb @@ -6392,6 +6392,54 @@ "plt.savefig(\"house_price_distribution.png\", bbox_inches='tight')\n", "plt.show()\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Interpreting a Correlation Heatmap" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "heatmap_data = pd.concat([y_train, X_train], axis=1)\n", + "corr = heatmap_data.corr()\n", + "\n", + "# Set up figure and axes\n", + "fig, ax = plt.subplots(figsize=(20, 20))\n", + "\n", + "sns.heatmap(\n", + " data=corr,\n", + " mask=np.triu(np.ones_like(corr, dtype=bool)),\n", + " ax=ax,\n", + " annot=True,\n", + " cbar_kws={\"label\": \"Correlation\", \"orientation\": \"horizontal\", \"pad\": .2, \"extend\": \"both\"}\n", + ")\n", + "\n", + "# Set title\n", + "ax.set_title(\"Heatmap of Correlation Between Attributes (Including Target)\")\n", + "\n", + "# Save the plot as PNG\n", + "plt.savefig(\"heatmap_with_figures.png\", bbox_inches='tight')\n", + "\n", + "# Show the plot\n", + "plt.show()" + ] } ], "metadata": { From db90e628a0f55026af3732be7194796b3584e8ef Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:41:35 +0300 Subject: [PATCH 65/98] Create heatmap_with_figures.png --- heatmap_with_figures.png | Bin 0 -> 103243 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 heatmap_with_figures.png diff --git a/heatmap_with_figures.png b/heatmap_with_figures.png new file mode 100644 index 0000000000000000000000000000000000000000..eea7355fdffc1682cba637edb41dc929a46ff4f8 GIT binary patch literal 103243 zcmeFZXIPZ!wk=8rwbfRZiUCwmDL|s4qJo4r0R;$>C9C8tIfJdJje-noMG#O4l941C&UjtjYn{FCxzFDB$A0dgQ_s@@sH*S#-Z1BwV~qLwT$GpEw1H&< z0|Ub*s`NP}28Oj|3=C^Vep!p(M0wDP@E>9O^Ox+Et&QxRuGktfT)1L?&BEH=!u0As zM?+gXQ){cE0w)Cy^X)USx4&j5a_Erdzuq8VZEJi;C^I(&U$Xw1w1yo61LGC)&kuH-Yn`wA%OwH_8_sbhO{f3)>luhjrF|uzP3o z$Gv;^w&B|Ud|m$WzJ?C2`PXY-$%CaI|Nh~+>HokFtHSm5^%^>B7#Kelx)*O@o06eg z_(+WZa6R?)mwzxA2+;Hx7?#%Y>lRgt;O_DyYetW&wf1ON6L-FZm&@ee|8Pio~` zsg8G*WEZkHzZvbwpXqe!PEt)#o1BGY(Ognaj$V*+_973N9=2bu9?j;*4(ERbmO-q67 zrQ%12ubjC}=g7Xq8d~C|nyjK2$a$eD-&*fN_;LQmy5@%ucj5mobbBsZ#*gj%wuw#r z!;q-3>$FL7%`fZM*N5tPCY7zOoT_qYIJ&ZpQ%-s^zr3r&&Cf8(eX@#uoL5Yz%v0y5 zb(@=>p1qS*$iv*y9)Uf`yVS)FhZUz0q$f)kmDmFdwnr-;oXorSQ#OsEe>lp24 zhEy%POLZ_JX`1;~Y5ZDw2Gyk*dS&St3k~wym*wS04Wp#H@a7!bKA9Akq~)ddY-9iS z9Mc$=sebO`$6NYEUg>ET*v64x<(kuZ1Ox<9QUdoMIB;P4(;YS*5fROsYd6ut!?o1Z z*I&OCJPk3W7{vu@q@ch<*9&CJmCYO1QZOExn)ekib$a+@8i9Wpa0_*`)>#qP^H zpMEJRDPBH4xs{cb_FVJOGiS~)F)_vd@Y7n8p{Ar{#Td!kEj4v@3JLNN)$cv_&9r3b zWjuKB52{k6s0-89tgEIQpH>HQDcr4YE%Pd~>MS&L+WYws2Do$Dr_83OvI-w3 z+hk^@c4+9MM7my?XQA7y6|Kf=?$f#yhtAHqcY_RQh}5sTKtxz^p{wT2ZH6{cT5zR=7z@}pE$RZ%?_rt5cG7hjoL zD|_kEL(i3Y;|o#ZIvs;zxhfl_DhY`$Q(_d%(nce( zeRHkp;Fmw+?IbPcLtYxJRik__Ey4U&P!}MT6)X+^v@x%St)U{3eMIXz!oyI;aV2uZhxj9lB=BK{odabVT zrEfpdf!WE$P*atflT~Lv-#f%o(_b4Ns@nY0tBFx!>B+!=iE8R4ML!my>Y*V9=by2( zRYL`IC>8!3#u;l^8TJ`Udm`+947hYZ=JU|dqkdbf56_?aY~y0dkXT)^6EbsXEj2bq^Fp#l&Vtvg=qf>LSI$Z{?m=yHxC)DcCQIprn#xqBuV{CruO3 zEtWnJEuD$5V)Er(1T8jQr^v|0k|FlayNFX5{L}mQ@0ZM2%Wyp>rsFIF!)5i$m!I^% zi%8jf%5k7Nn0EssV`xG`0*^}KlO6n;i5`pJY#rrSxXvSlgb3&)i@ALp7-`Giuz9nZ zfkEtt&Q4Wa7b74WA>yDk@wp-`ugJFV?js>{BcVh4_Wg#nNsEm>f6oj-ixykrHk&Nv z&q|A(=y{#uFx(>IIP#DL9E1X%g9qOvy5(DSlHeWlc9@=FUg^t>01%k2Tf$>(Y>Y4@ zf2jED4PCd)<5(LAKTQ(rD^!E0~HpI!M7}kUg;lG8OP0I9NZ$`+Hle)i0 z@#4h?d-m)JlJN3W&Ct~uZO_dPyRM1xu1#OVuRk+ZG#;PK`=o4TL3YcQEwtE#C{K~L zbSKtt?@o;;I*oVP+S@lpoN{7fWlh&Eux-LdC$ow=Ja%KPEJXzCiTAR z;O0UH^ISyOs<8n+e~+$W7aonQSWoO<%MZ^L1qB6p6r;U0^DL6`yFE{-4r|^;PD3=w zb)7N8l*wVpXelWv8+Hn$iZ~1+!xlMFQS3O1T0(K^S zX@1J#>&Mfb#V*Riw!Ie-Ajw@j3^fe~&~i-;+wRsMv9XXvQVHSLir=*R_&{$}V4=ri zo^4-s9Hu`RVPNP(LH362JV7R>wCG=G9I_;OP?hd%-m8*$asTqda0V@QWqHy3C_azB4>hbl?hC2mgJ4_@4NekO}cKtLWjUPw3JtXYOO z{c_`>fv=y+X|V-%Uy{|*G^rsIRa{ZKY~&8x4_svLA~{R2uAzKl6;qyCZRg<7j13yo zn4mDcI9^8oRDLIzU1~E~o}Gmb$~7VULRVh?-1EaN>$2tJZDVqbm~X^fgxs?m)~{DA zb)WC;>50MZcUZ=edjfn>pyk-~NEUS_Ym~AfNgeJwRdZzPB~K%bbo0TNw>CbK@G5m2 zZI8pM8N>)xhaQSbR!NG^v+Mw#QLA!Pb?vL(&VT9IZ$*xySjD0Ct1BJ_MMWu>GOvJ=4EQ2b8nqr%t+x>M>8I~P+6Br%=NA`AaI3hxT{+vRwkg|K!Nu7*5kZEm{pRkic|WgPXFm3!puNx`Wo3C*@7C?x zJPMJbJX(3FkB(a=tLu5FVr5I`=*Wm?u!$eqCeB6195a__-CZhq&xYZ*p#Xx6sS8te z5(G1dIe-1rY{hT)33~(;%eJiZ*mm`=e731#zf)?$#N6^cmnNjxGp`Kd=?Wc&L+FqB;}-z>X|HOPGgaVt+Z zDJ!(4&1UMqo<>$2#!#zGtW1$|2L*X^eSX_%@o-^V)y+lzgP9=~ShW41Lot zzr1%FFG=uPnSX7zLg3@Mt`V}Q}y1+-7< z_;U!OkT@1Us#A^~(12ZhNJ2s)W&XvB7sw+m$ic@PhEz5&AE787IKuJhnCVqY85TpZ z!K69zuG*rwUB55cg(f9<8UlW4v66l)93qDrr<@yxi@0B4=w_PL^#%bP)u!+fb8TyY z|BEHAGc^91NMyn4?ruFA;($KI0iir$ymV1MARs`q%(Da#FZkf6$IJqHrKw|`MZCw3 zsnG1lyTnF2i_}SCa?l{lCYBnQy0w_(yPm8>&%pynMn|fkjH|3 z#j97B_+=AkaS_#AGgX2ksGO!d`7S-dYT{bZzA%?&H$9-Zys|j%`X$1tsmyEj82tqD zWk;T6Ak*qsxp$9+8?{@?3H056_V&S(CtJ-{NQfD1;2^s^M$#|qROy%L!A2q1>49_f z0c5-!fTGc^5-kKs`k}I=XbeVzR;ThX-sC!*mTy1WE|fBl@o&OI%MgXB(NtBY8!7jpPMWv?PFk?08EDTKXS z#Ml%!?bL+rHiHM^S}0=wKp`dRpYdd+m94H6O|-v$EmbEr`(Z8mJ!K#Pis0yq(>jTGx}wry=dK_KKlcdf@E*Q{Bk#MQyY)pZEr8%g(Zo>gb^ zI!4xmC}h|reJ`S9_05bC6&0PXmtvzXl%39-0*=Y=a+OtDIw_JT7bV`gYc>gYCYi4k ze!{wCurYz7qWkgG*RSvCdR}SxrbO&S66+sFL=a56SJe3;Eyu8CM{U?qDP*PWb}0*s zRBS(U(ab0$D5cVbPBm&`^2C|{}3@*r{ zp014x1j_^+d`g}dP>7^5;G;sP@pO%BqqgGp5nJgQdg>TCzujBky?bZ&{>krvko(rH zTNiQC=1fPvwYt514w+9xL9>;m`N~ag0GqpQ!j2l>w>g`Sx<&Fc_a`w0AFtJA^&fut zp>mjPjD?3lV5D%MgxY8K{$zQ4Bo7 zS9b2U!%umI>jR%41(<5m@o-q1YPjdvxv4VK#(09N$cOL&Q{=k4SbGS@+nJaQa;ByI zP}~gzZyoKrgWE{KL{~?g%17nuFxg8T{ZOC`SVn5&2m8+w5W1aP=^RZZ`rLXC%;1Ji zo0_q-Db$L4JJkWeIk;8V$4QCpv}DFI`!?2Tz9-z@-+#~Ey$&O-f}~Wov9Xz)nreJ< z`sOhd8!Ba9rn#QWt`Wj^k~Ed4XKqoV>?MGcUB8W(`X+qo>x<*O@F-C_;J}8B8ym5n z9D3huK`Q!9&ucmN%-OR9m$GzlX-6T1AHScW6enZWk(WkELf%i-F36hfuT8;Z45I*2 zL@8H$&f9QOmiBGD+j`25>yu&Yf>C-2clh>Z0XkC?N{DDt1=gq@Bxjh&|Da8Iply%#;Z;!)PX6d$JG{-$) zx)U%3EIM6CV`{-Xsx&4xH)>U7cSxPYs%ZTtT`8&8DqLkCI}AkSKBM$TOy$?~BZE}pn;RQo8{qGl)u^PbIe!YUOIggL4xqvYG8iQmf08IS+UDtakJEse&s z8g?l`ey?hprYefeLihPB8#$C7&8Qla*KFL8c=^Q*HN%naGCe)_iCY0*vHQOeT!z&& zjB1qd5vZ0DP{fg#$)gnehlu^agZLiYPuRp||B~^NCJ~gSA&2zRQS>JvwwN`<`b>VQ z%OD#B13)$iQl9wov@%#DD)7$*l}ez4w5=OCWP&ata0USj0koLo&15NIWSe5782R-| zMa$XJGy4!Ohg#CY1=E#K5j01i--y(82@xNpN(6~r0J}$ZzJ;D_HXue~faPWHuKK-ya{8z3e3vdFRTQFJ1AvPL zrAEDL{Rv=BqsXTyXz4!LRb3vlI_y8_pu`ih?$TyuWhFewajOrBhzdh~C%V9AIo}{9 z5W?7DT{kzk6x|Zn$**58VxN&9R}*@O7r7dVuK^1qZEGm^a5DsfAlMA~Y*VEE^Q# zna3@~x!u7y%?vh5A*HBjYd;25wWgGP`0&A3!h0J{FJy{lJMeyg-`g-{q~K=@?6zPP zKr$pCZ6~z0Uh&+B5ZHktuo-oQkny`cMdN3c z#OFT##NKu>S%rIf+-p_Ve%mk#(xL9MvZdu^2OxOhjdQ5pf|4Hpz591UuZQ?<@MoL&e{rz)<1DKz)qsY^M_`kqP-q z2-4Re65x3YiFG3qhLR`YEMh z#k%uah=;r~No3%cB3f9s$Jc(4Z_IAfOCi0n>nUeqkhmsN^8?Zc7<7BoI zz>GVeoSc+t&b;mI{RV{$o9En9*V!@4<_*`7p2*B>-?1YeRGTUG@epo3xmv-;`&>7Q zR^RYG6lb|@7rK0zkNUn+&%9bO4UnI5wc@VYu=nlTL->J?Jm#>x;DA;3YM@={1-M=_ zN@?lB5O2?w>pvp}u^ct>ohZ865KA?c_XP7$|Il-e#hD2)Gnlez&&i9+3p3d=a;2*) zi-fV0j}j+yNN7NIsrxzYE2z!X^qn^EI{X{z-aJ)d5VT5B;vV+jMl?uy`Szh8=18S* z?^zkbkxRP^S+ri%uk_7yePZ_J!G5x>5HB7HEV?z-Jwi>z;*+sQ*w$oeZo;RKaTy4G z1||6=F}Wbs()s?~>=VsN%3Pos_!OfTu?|Tk;D@JP|S3wDs8)$@)~PS1AH=Rn$607dBgihxAbdf1dbd?KsHy?v1)ToKFWXl zSLUn1b2JJU7uU>a2i>e|IHSyJYHic?AAa&p_kI^Cmh$F}bV^^y@|@SVHe+g@qYGj{ zS|yLn*xUxDgHI$@=Gg0%`#?4l4B|T$vU#saEb4|<{+bZLykW!%+UM77*bI+q6Y@(+ zN`z49#0W{B2^C@9fB5kGhu^RUznOk$67gCow(%?kz`~e;_(Fb9jF*ovdo_s-05&SD zGYcG95~65LZS4hQRFw?f657a(>aIfY6heg}sd{Clgv1Kh58<#c3chyMpxcXqKLWqde3Ol}yuC=6V=0QAt1vkB~`e`gs7mub)dbmBB4OW9NvC!i$p^~D;ukT(=2)Crv zQjf)Cg(z{K!m?B#a>1^LOx?E(Uw%!K#+9-JeNq6<$~w2j4wcSDFU*cd9aId! zqkAk2CRCbh(aXonR;}E{?T1?~prEvhwk<9$K4$azoWAE7+3dHZ9Efqc?(O}hoE}?L zRD`hkP@u=0(>bW_5h|Pdhpa+oLA5qh1a{;54@8)SJ0g{~s$nUFJ4(i>-05vF%HH79^w>ihG0 zDNhg6>vqL_!@BV))RIr}whGX{deyg^%5c4j9e{u#bq~@4P;(%qIaT9ml~uvk;;DD1 zDyPe-H^4Xz2P%jwg7KUNUD(0@Ix9}W)@v^Q9MX|x*JbI%&^YhYFWCBrhRl8)V%@ea z&_wPTUDxdbbiRuy^ewu)p9MYYaa$bC4_t~71=dzu?}J6y#$U6eM!*gQ?3Mg`h0t!a zawngS^|4Iw|P#B`` zOdibY$M>&azn0e2DX^`0?i0Ed6mttogz0wk4CWISG+GzEul&f6HXjfnjVeY}OOs$_ z)jAZ@`P`;_pt62P&D6f9aXLz527ueCcNJvXSkx;bvFd6nD$diEd)0lma`>i?TXmPF zO?|1;O3MdZ-Lv5Oyr%rG_4}~IhO=>4J5yB8Qq1BL(Cf@~X(PwiVNW0x@o44@u!r{a z_Z!WuNTh-lb;Y{jsPI2DcWo>8(KNj>U5rQo)9MqMmrkYpsNvLfK8m^Pa`>u(!;Uma z*@{|@Xq~4VN8W=yP<`^-?<(|p6cU2z`QEdFVr@mN$?6$a?na{SV&^0!S*TiI?ThGc z5OtdKEVVG5%GkF`(cS9IwOM`I*z-XsMZ<>+3JWisJb+MYYuL`Qg^lW+HPe+w8g!-Mzt*ZL;+Q>EdkbO zT`uaypj8%V7dzXetTVF6T&jKeVfKQIhHeJ{m2BvdA3jpg<==tM{95CFcA!#-{xLDW zPt*%k$8A5aN43khbLURPmO(%wM5^Of3{Y|e&l|o1o8qVNfK}mlAYHEc*Li(xZ3JQ| zD~JUf2#4@nv$8(#?5bTS3x%c7bGdLrq@YJuAglokIfgd`3}$TN<`6#XWAO%jp(t|( zP`n3Iiqh7y-Rj%+f-(P@ETgG#zjvnAeKrYFRkRfgtARUU%2&$Hw?g$?e=9yH%RIw% zW=L{40pKUz`N<4~mSmJfRp~pKnN6GfbR=`$y-BpoM78c%letH>@6)gdKW$;peLuhE z<;7V70QL&op2PlX1jr)tr8)BYBT<(uRoE;PE>N=dXmHE7ii@A;kXJ*nvBu` ztPE)D^$2bDV;_W(&^0=J75-2_8Sa~I5;r&7W&0s9wsKLXu7_GT&M6E0oY#@2=lYm; zr-1h1!a&|j&z>|tJRE`=>Pb}~m+al~$fJi3A6D)8B9@F>jgu8d>`=&>F~5P@cGvo7 zfPIQtT!aQ+U5dAj^GN2%ftgQtHiM!OwrqWN8nrj6jIdvcx-%4J9GPkM!)&6Dk2mEH zN|C-&{H^Tl?9T6d2H>a#X>XejBar41Rs&K7XYn`Ch8Bd5QtVH2aYz_xLL2D)`0+tv zg}IqnwXvTe{T?c^>>@TS_goO$U{k637ua-O+*mWpxxlCM{Mw7;nZlB8mT#U?kV6_x zwhZ?51@}5@uGh>pi$l2U&^Bs&S#ajo2FIF!&;I!)_0byu(2+;%G1TWuPQ->7-YfSW zKlc}*{82)Hzh~sq{rc&{HCzk8kqY`2Pl8CUz&4NQWt#=*N$3I0SKs(JAu3Ts%X2A2 z=9tY-C7#$tX)AegIn2ZcK}k#AtgxGuM}(o9pEUf=QY2LoChLq-%{lxL=1!fkn*wqM~Wbc z=nUKl$3yfm><>%rzQ`xPE|sluc^^yN#vbt8oGwr@-5@Kev$fD5MI$>NjGfU3hAt@O z^?P+u3kG;+fP=2*H+N-Ikn}jg;go)fvt*lQ2c}>+KUCM1yJ|c*A<|U_QZ5}13?_&b z&@6^aX1in?#TyUs_XxF5UK=*k;&C!7{s z0k^!pNr?ly2+30k*rZ9&ynz2dvHN%Gw_UgfO`kO>^$vs?uEpiZYZnkDDejT7GWB0v z)O`H>au>$9b&H>O&OnAHQf^B37SoA?Q9^{qiRWh%m6nn84PQ72Y-x{LvB#+r>%p&k z6}eC*$4Y6$Ly~~x$~@4K5ofP;AWP^Rt%-u?52ZJVwlF7*x$a$8$l zM~Hj0C+EI}V5k48=aT><82Tfhi>NZ41+*Pl@S3IW1rrNExQ(bRj} zB8I>pW_5CKRb**BZ*pH3_bNu4F@)+nEfRX<42Ef}n{;*0wK07_Rk%8e-W^w)K@NoE0f)js{Wx(g6+|1^gyLax~LFFC;`Xm|a(iN4b zZ+QCPevT7ISye&Q5LpIfy;d!zO{G5iJOnIZ{G)-~(*U-1y5>+BMaxLW+E%lRBE8Ft zorBMMI-y@I>w}&vXWUk(w=YaoCyCS|;rSssJU6Hv!XBZ|;L%zv<}tHR8f`G!wVKaae} zoCb!E2RkF+5~6K(z*3edW2EPTX^P+zr2`zDKZvKwg&iSWE(8;c;IA?d1>kcD(9VF< zi`1xur$W&NN!(X8^bQJwJf2fx{#+$x;YVtq6Eupdwc?jK;DebQ)<0rpow@R$=~?lL z^3-0VjK?|8xGtVNyH$miA zUUsXP+#lUr82VO@dFIJE&A2Z&H~HJ%kH3Q`sV~CuIyj8cfntbcz#{5=Em~lYUGJNx zBnn|ihk_Z#!p?vS#9>A?y;st$7(zcUqczAmBd!ryLx@%IV&Tz~TPeOe^9T7dENkX| zVo#i4=S-w^bHIoq5>o`C?sR0=-mM!I=)Nlzk&picJHf; z(gQQ6L|8*iIVj3nGo6|j&7Jk$Z zfAwh4zN>IsE%D-MF8Rj~m?T)GG--O!atTEobjrz!_{Az~9i5zSIEj3XvAyjX2E(cE&=M?J7imp3W)lJIOvcY9qGu=%brAZ<6_D z$Hsp2=j3u7($DS4bs=CAVxb-I96o%J5PwNZalYyQ0K;XN3d;gN;U$!op6fy6s7D^* zsNj-kW7X%t%!^^>8{tUs9mF?KIw~GfpijIsp^|byPS!InG|1gwBQNzCU5T$Ce9m9Q zD5|d%Bu|upzP~W!nqZPhN87Tc2nq&6>?d*v!aLDZ9F$tKI$C^pu^&x4QWPhnS+_|+ zK_O=G1IpL<#5fn3cZ0qLE|KxEs!D44Ohl6=mHw+I(6$js0*Rmxx`sn$t_vRsmHa_G+eLp2vcx1lRMJYJ)-Gq&eS>c7Ni;H0^+b2?Y1}w=8Y!(oD?Kt=KicXnVAHet?}F z6Mw8{hOoVW#gqb1N!?KYse*^~eAYRdU2pQ1mc*cC-mRn;xy`2A_P&{r*6D!)f9a_4 zyCA0S&%-ZnuB)s)ThptK{o$8>cox8cz-x?+Br~I4#-NMn;CyG0264~j_}X2&_TFD& z<>832Ka<2aO+q~kf~HP6=d+brlRh0p6D&qKsV^rXdOM)cB}m)$wOXiQk|HXJy<)B^ zN=q)m+LOGWJ_R=U=BmcaF$Z%iOX8VS5!Jig#>IMO%aI9`BbIFK?2g8lmzOK&T1sXW zOCHiKemJr~*iRsK6?_@tzo3E0IEGK3JOPo5kf#K%0qqq!PegZy#3Bf4hzLX&h)L?o zuKwjp5L3>QGorP+n`u$?g{BWqSpqm-w4uuLIjpt#L*cXywL7`t2Nm(CJ5 z`cVIC^NbRs{Kp_GSsGVw_0mzr`wk+5v|VtALy$S`AZ4*L6Q!PJ$c?Zl}QZ+W1 znb&45hM@4}EGq320kBe-Sy8H{)9KFb-~OrAdfv?^w%mt;`o45=adF}jm}s9YmLC;V zN0n6`$Ojw7v!TzmYN6hYivWWvAV|q*ZQLm!SMLdTo5=?QSR(y9UxfxOIm{=XaABp} z3C3vLXEX`B_Zaj49MdT z5Us?f-X5iWu7mvGxGTz-(SJ6$>vbSRurO0tog|%9$qrZiEK37dXqmcu=gtIF7Mz+~ z9GSJgV_uf*2c>mn_^BhBtb62WL)`cwU7T6kQl}TV} z#*(rP6F~HE-+4lUmw7HXLE|BmX4R+|lwd-5XYd!DljE+b^Ubk{QY6@x^38wmsSt~e z-}4V3Jd1>9aq}+IZhcFtqPJ*bX6uh-97OJtU55csF+ionEGMxX%OAz!l9WU^s z%$LG@IVeFKgxYq@C`Yi+^bk+Tsd;$^@=~j`CQ3VIMr95|EHf(X&)O%ieY_4+sa1X| z)@~9+z+}zbWa7#j_#jtfYy<0{pyjyruMF2ci0$}#Fnl|^_~pTm&Xlb#*NrUzyoWHY zdS6AI;F~bR=6QhLwJ8-68H=Wx1r-vkFe*&H;Inoc-})3$G@j4w>C zCAQ^eH;@M%K`L|^3{&cm(fqn^F>a;Khq{qy-}a2pq$I8R)u5KEh#BLZGqR80=9c6+UMj@5<`Y8{VF z04*Sa(uec0eJ;DVY`HRfy9-s_3{->N8J0SsA)QR|eTDAYbrrrj4#R3GYCnS%$U~7QqOpapFLa1F;-c%)c4J|8}I}b#t>S(r_?Scf^%54cR~~K9#@8JYVlN z+`>;RiAwIFa_c)J_)6|`m6Re!frs)NYgjzGaF#d<06lVv1#O1-lmsIVN9vl1&NL}k=JZ+LOYH|`M0vr^&OSqE z%Yrc!)P!&WdnrLwje2puIzNO!j)E?PlaV}eH)MXlK@^=_!UB3078Y4iLSdiUjH84q zzloy$>-6pY658N`S#0;KELkG}(81}B=&=D6?B((MSLi!$tU`0l6WMFC5!EWY%=>{#2D1s4EL zi4S+zctu-V8;=bkO;f_-C6=cHYs0_59dr>0K6Rl}VSuOa%KA>v52YR*$)_HqUMzKY z(Z`2x9=AS6#tqtt&x(nBdc{jpG2w|gWaOZyokdX+Zxa{~tE^huEv01a63LXX_wO&x zjI=cx?G(h6D3df3?hL;qRarK>X#o0T{b&>7cr%D!1fAnm6T5%>=_jFUAAi%g5T*`w zHE1 z5By0UVn5xUtje1rz&gsUQ*?e@}1LJ(x~Lxx9?A@ zP6+XQ+$-^(FSkuF>PgWYHhRMt1!7-Hsb?ULJ^@ip*$7P$iS;uNVbUcEcJe61GC%KS za2dYmPTvT6bzEpd!J62Kgj+DPyok34dvXnV6Mx2-3C1TVL|J98se_d$O>>d6Vp8l` z@WILHX%#de_+qUu=hmvdCUWZ?HcykB_P4>jp+q|4^Xd;X_HC&=efl&Jm}Nb|sL z9oISyq3r@9MXuI;Ky@%a9Na4lWV$9wqCR3(kc!Z9MeU8n=FOW4J20^T#yWHU8o`P) zkT#5snk}-H{6taSg{Mtp%8?;6&UJ3!oH_BE46ISA^OJpnOx;<-5F)74`LD6ph}u}h z*dg5j?Z&U}BgzmWZTSrC09!$B7xsWk(VCMS(ly4JeYwkDfBKQ(dXWCxLktWLq``XI zfBf?YmBEtwdT{;|77~Bt z^;%gXQ2}LyLGzDXSKbm20jd1e^gl^Ybb5MwdmlVU@-FFH`SK+J{0$ZH=OW~!zKTMnKJN5qFq5+`f&FoQ&~` zM`wvnv9lt9%q+((5>X8EV3^2dP*eMQtKxA-9W!SR!_Gmeym;zLbvprHG~!SyS~>K(s_9qw}lQ775r`n z^*^(YV;twoU=pf2!h8}J8UWJ}0&Xy>L1LkD*aT0c4wkP%j>j3LR+zisMsgj^r4y?I zDnxk_3?Ro5`5E_}h)v^IB$w+R<+(7(h1K^4GYD1mSS8DDSeWkb5sn60B6)_mfk;OJ z5?IxC3+zl0EHjB9XbJBo;U%lz<)IqZl ziI5YzFye_+jgQ1uBY6}O9hc}i;K>0JRj{`lVDlzMKX`*fD7mJMl87YoS*e6FeeKVt zj!q}CdXchq@uZ|chA_xaWFDCG0>i_@vyAH^4Thh+orM401Z;$6kz*RFGUA+WPSc`0 zU+;xwUDEtHbogD2nuh0R6W}Cl1PsN7<^l~(_9^*hKs(apkZoLt?V(fY+0%;p7R$q$vvRe4d3CQtci$-NGtqfEko?)Dg?UAjX-A^C_D#H*^$;Z z!k}UB&kY;aMe3Zr{cEO6Oc69$5$H?x4((VVsfGNqAJJO?A!AK(cv9R3`kbDzyBOp)Qx^-(16)x;pvNV02-kMMa$hDcO>Q@-;?CcuxX5tz( z#X=;=6_#O3aWUwRh6Gh8rabmldwOOKvFhUMO9ix_lfER&_MEEzRwfi*NZi`VJx9>z z@SQ%+b;N#25lr051VbZWaS6c!@Td`gKA!MV{fzbvEGkp9+0YDL9mEFVmiH6`aF8Ky zA~APj0b8w^%m!Gu4(%@ZlF8;?_*%{gcbX6hQgG*G6<8rxOhY+u-xDf;uW==ivF@XH zY(Rd#Q*`egu!L}rUUnD9=53Yp#A>g3K4GP?&aGkCId*#9s@i0BygOe+ye3xFY!1=0 zDgzk|4JLMyFXK_>|HTKUB3A9HqGL>UcSj`oc)1RBl@t*R1?&-~;7HW;b!8^HqX>Mf zRnt>)Kj923TMD5=NrMj99#piMX3Hp^juSQuWk!DZl38bAE)2y_(5Qzfy!%9!U0=0f zaVYdsB0v(yFTZAvG~sSM1^Quz1SOU)ta}wfl9)n>Ru31EvWZC|F->Lb0^Zc46ee7V zLFcF`Vu{TrghAzu(gm|e)m6U`&!a8E2<$+o@yv8^UiPSy&JCm2i`ZkTNy?~ZJ7M*h z+&4BMnkD54&wwfO>yww4|L*I?G!#{35E~Z0n=t3{k54{@Y5_dZWEO!nWH!>8$s*=z zAHr1@JNI*XOiYZ8HmWO`re%HfN~xeQk2&wIS(hoL2q&`#d>IQ+;7M}_LF!hQx1Bt7 zYPj}9cM#%peMv7I^cI{Cl#=1yTYw*R8eVwr0|(B)PC#v{xB^cr*$-lVGQxg)NcxQZy0xhH&fZ>S8l!#*?8Ep9@996P}Zl zj)Y6YVoN~8Ohgl;E6`^Xly5>+0S@v2h@*^41lcqUVVM-twYFM0CQosdVeA+>Z~T$DTA{rye|Yjd_txT6k>>j9qGHJ7 z<$j)J3R$cgHPL8t)5LJR$2CdE8W?|VawjmC6YDEd9qHdO10sDi^bq1cscT6yHNcPk zP!l(4xq%a^I{ZWip>zqS0(`3uyiGd0^!Gd_BY{;#Em}5N&f0 z@u#7uh&zTOhws5>>qrUFbS)W-geEGNBZc$Wi|M6vpEpt`s!GV3fa|Tjz%JpRcCmoO zdl^lyB*gr737$bTXh4^m!{=A)Va%+lsgWgX6hqlNI%?^(2yA5vTO={EV;d*j+j)p! zM}TJ~JXv$Dxq2|5fuhp`M&650t|J=6z}_*4@&K*B>2P?5Ck`8^tE&@l8;N*m<0PGz z0I=qyxf7|sI)pz3kI2z+UJucjG$-(DKfefyu?fmOX~BWn^9^na83OyHmc8>s=;v+8 zuqr8HrZK8ZmpHKY@6d=M2ky%prV1b>b=Wsa111*lV8u>76=aRHN1g5UwSEQRGgiqtDI~#a#1@a!)$cS+n4TCHty9|Wz zTtLS1rKP3h`|h)fp%=-DbaaD3r;+vxz>=3{d(sfojHp&kT(TPJH;74QwnQ z1dw0=p}-uf59Un4ahWjujS6BjDw1lWnMd5dS&;mN%&CI8?sVWU67qQ56$A2h06~lP zS*tE!?#Js=XNh};yjJ&P8(#!6M5!hKW>prNK-K$nzJOdfc-g67UV}Pq#t0HchL)kB zftj=m$|ZI8TqdUP)*@U!7^QUW3?BbGyek2+NnDj!VXq!<@Jnl9TZQ7N?#F1yJox6%KX2#q| zNF?OHK$8e$nnBWrSD6nlRuItFLsN&GFW5Pnh4x95K`eq0oG#F!_6vjDbwP4*)}MTd zJ57oAihBYPf65k~A~aqzISDb{3XoJQNAOl1ix%b+Ah!!N6oC zSBH%uJ&=A3Ou~L@HN13)R`Fo^YLLT74<7Dd`<^{~)W4DqdR%f-Q*v$rp-7T;szwEg zG<5X7X$yN-$na6|dq1M{uircPlN_*ZOTNC`NRTJNUy!|w9fBX6CgFkfml42Jq>Jr7 zjR-3mz<-D2B2t$_^L|#O3$RVP?9eYE6li7?RaREkj<6365blh{%%q(ROZ5N!a;7%u z1}3g(KzSS!P`fQ`+F1#R;ljope1z+8KoJe#O1kHHVEzF?$)l&&{W_jQSc-NpaGwDpb7ut%I=5#5-StUU&_iy$pvp5&yzp zufv-}9#rV_9~`h!Q{S(AQbgn+%8NpeQ`(uCy)m`7=N|3M6gqU(T=!MWhd(l0wrEWq z$m>6EQS0}wKPX(a*vRxIVnpPA*hNN$s%!T44}f9z>}7u3>id8G#DDxM%kQqmzwV}S zA6X>-_lLiSfZ;z6h~XJj0HOK$`NbtA5CkKdoBwt4%$s9GLHO%+ndLwH@D3-`#Fhd2 z8aZtL`z;JvKmQ#T@T>py0eiQHR9u3CihM~Lt8%VZY#_aG*poy(BXkBZ&pGt}sSsaR z$OJgkB+z;+!nU!F<6Znz94PS+6k-|?&k-z00|8|a?K?ONVNX9C*u;khAV){`BMlRT zfFTWa;5wQhWTR8#XjP9e8ia5NMH?QwR$)=|#c{jSF zJRo_kxtR1_fbJyaqUU_yPO;e!c2p~`#c!4lV;?loicndMJX#F`=KSI;ND9*bf!4H? zdC=pe?`Jcccq-}30ST@MP@CEUi%~O*<3uDSR0!|P!eB&ST3X7v{NhIkP$@W%#;5kx z?!O23H_81+1F8scfMnbEERmS+oikirhGuSXwM_$S`5Ht)&d2QJq*Ay#+*Fv1{J zE`eDX26xm9DkL3KN7{p-9Or0Ap80GJCbhB{xH{g1$Ur3lbFNdhCxo28UQX!)yF^b^ zj5%i4FGu)Fh?@jjQ%I$az5)ygDS^^79m(Mk#QL$0&Ha0?AsM2EXH+rMv%Veo}u z3h!46P9Vxi-Kw`9$6lCFGKs$p+#;8TB!SQ+-KeC}E@hsfsX%oAulc6m6&drmrW?kx z_Mrrb0ICvb+hZs&!*y6-%r|-U#}<-8D5i*zN$FgFU+p)|fTe1K^LLpP5tnJ&D@4(4 zL=l%&a38jBnNWd%k6exGKoU#7NmYiRiw&k(#@N68=Hw5t=P>fqo$p zp(C9if==@=Fgefh<7zb0N$BF{mS7Tv6Eq0NjB@5-b$g{9f^dxfkpGMgjbCdrRKwnW z$t|4yPRfKhSKo`DXg>biK9h)E{6`uhx*dBdiRkxQNvJ>Z?>}_pu+IlqA+3xE%uY`q zi?{A7HnocY+Z$)vjRDUphzfcRKjEWq+*I^^qvr(^&U?Y9bTxUTO^2q#W&F+}?BX_q zpa1=h|F4(QGRLwDLlW!k3klQMxwC`ITr=?WdL7pI^Kx>&f}P+BLGi{rcL2o3yOiZy z-&y^l<>}(e8I}6$rV=iv**)AmlpNfHIz*3j6Gq2GJ@!2Jcf|j#V`uEKTuMwZ`-3CCy@kj#7F>!0rng~BU{_Pn$K?$cr83c*H0OV(p4%h2R zaxfQd8XJ~nY7t_Y9OQsg z3f+w}6I6C(9_nN|RMQ+Z2BTZxEXp5J*`a)4hdMx7g;8q+1GG`9(3_4j^xcD=zc(kt zvs=CDoHz|6nl%67i-uw7lglZF0!@tHq+Z;=cnF20(c6blow{74a7s}F@)gM1%5%eL zRiF}941ml^$cwab0W6cU9QwwEN5>$hT#(7}Krum1Jt-9Z`R}WS-Fgx1g)6OE*5%(lIF3*9#L339E6AKFu>ighBdb;>> zWr+V4oat~V&0vNIyw*ftKl*qwAT02Lw+9SOMtifa>mUa)ZG&!McHQ&$y)ZB$6s#c( zJ{mCwbLqOW&5o!Tsr9bN19FagQBx9S7AF|VsP5g0oN=B!bz|PYKF?f%)&H-b7-Dz+ z2L$@x{NYP#`k#THk+{g&cYnVcWBOp-`|BlllMq_}_lLiSfZ;z5NVza3p*654fu3Es zA&gUwR06z*SBC?;UvgOwRxC@rD1qx&M)q5&wVvY6I!XnvM>wuCA`{JUUa< z7@7omV4(&)6iZ3@_nDAVztuo;`Rny?Ezw{8KmKsr&S=B{JPP5rh+`0v#CCp76+()^ z(k1{OOHqd;{1(UvuMTQn#0KIx z2HYb?+$5-_jNeQ5wKX=Xq zBnYU7VCYdCFG%~p2KV~g zz^7Fiu$XPyE208MFz=BUT5%BSP`xyxMV9n= zk{&)nlhqy}WeFNAaR^!EL*y4Ra%>QMKx(Ti%gXkAD9P0T1h?TuU5Dgrf}Yk>*H0So!Tuff*SYwac+m%j4%+a2{Q!>)!*x5F7gI z1y9n(L;x!O)a5>Pfta%)0h6%?eHab4oAfLLsw=}Dkd{{hOC>n_WMFL2YXhYE0Q*Ev zqax>tk<;Kn!fgM?Kc2u$q61K_PHLuVa=6}YMm7N|%$&r*qf+E(NsdMYJ4YsdWwvZJ zF42Jyx&P<7M}|ha*~wRauX~8;4;CD9x*I@JE;*hB0yYtKAT*M1fB>L5$}UzdO%Mb* zWdsZumSrfB_`#hMUY)=wR#E3C=q;~;TZ5d_L{78-UZ_SJF0y39>dLGHY4(S|fJg|W zX)0y}Flv`i1`4PYkcC8uKpzS5P@tq9!odvWhz&_}^9t%$QWjVKJ<#j!JjZKV;MmiY z-?&T7|0ES9Sm-QGV`4rOu}}OCH;|2UHA$H@^KIO;Nfp3=96Un~kHqR#1Bgt^lfX(N#tCu)=0sIIZjIB04{TyRPB5@wog%d% zupX7xyNffLZ+znijb(Vjyk-RhJiuuYPwlq3vJdy!KHkTmJfM!@MX>p-klAZ=OViL}nNEgO$^8H{JN?Qm zIEaS9xIq~kc17#(_i`CD>EqA(ICw0)b{^iT<1{tAiw+{hB3&H}A5p0B{+X*kP0>$_|cg&Jlx&4a+Fe%u*z&59D*rC99FB@su_>s{1CCh0u82|g1(2UIBVuaJdP5wkfW!l*Nut8bZ;Ox-j>a!$PA3;`svnA z+J_Y)7Jw8U89PfO2TB&&n}*l$4R?V^L7b#$+(&eQ1jFYLv=9!;)%K|Irnh*><5RK7@bB7>YgT4Q{$p+=y_veFE?xp<< z;plLD9Wi@H!6p6B6SAgqaTy+QcO&dQp%jvo#>U2|R)POK;P0J@X-E*O zqd34T|FK0|RuXQwgn-r2>xfLnl~d6QQ1)|^HWvdVA!;fq1xD( za8}`lH~apJ#lA($ocYm`j6B-%1V=xAzAA@OPxh|0%Q5)Nm_kEaS|mdjTdgUn;0-l`@Oups1y1DBv2CR3L`p$%H|+E zSj=iWmrisRY>Qly;r!Iwdk_`&hD{|24vBoDI|q;m@?7nnZAD z?mVrSK>uUDvCmkHx=E7#=nsGt8E z1KPg67YyX6068E^P$%>1d3_LwQODzFN80rBeTis;P|=LI-}mK<@!LZ<>ySbw78_E| zcCod!)nGVm4}B9ZE_o8eBataRRFp5)?_gF2@W}O#c4S+ zI8B5!zf~@wLNzd3{u}-M8OVzvBL+8=d4bxI@8g~lH-M`&t$7+&nAE~Kw^l$Va&#hz zKjf50K{N)o_jE=u-!j@Ee4mu03rW`IrDtsuDRnDA)JxHGrMwM8)q-Ryb9T z*6T{-xq8=8SYyIe#s0pDuij)YK)E6%I;rkm|IMV5xM>Pj8M@fVY&J;@E!_Iv6s8pfas2 z;u3-g`2-5;d!z%-p>9@s_}EnK$m+i^Jep;nv2sClDXS?8mCR<-<0;nSIsJ?R^}<)p7m+- z@_4Q1X!yDR{XqPG|Kq>(9)u)k{=r>VrBcAuev#Mq`ctaK9RkKNXOP_4^NBLGuBGEx zpMErw;^h}OBK zwP?a~fhuNnJ|O~ciH(Img!{)m&)rT#b9KDy)P%zoUU|9L*iZ3?$35>k{iu?X(r<7W zjHv>rtf(`5`p@a_evj8YTjM!`j$r|!Mo}hc0B5J62nadt2x8Dn1vFTrbMZEDd|((! z;{(*$L(S%cw+6$6J^e#5U@H=51K#(PcS@0MUfsv|V3CP|^!DoB? z_&)C+c2(e;h@`5*v77Wcc!AW@y+`2Qu^qK2 zwWLB@7Y|$n>M}i6IB;My#8T>9CvQa>`T)idfp`KAoL>anU&i5m_Mg#n2e8D|f+)Rs3b&BS}?-IBW!Ffcy zx=l@zWt~slnolclo0FnlUnd|qqNiz&0ebaFmIFx|N$|)Go&Yo0ztgD%{@pCK3x^mX zZF^bhE{-N%8T1|9cr-YqBJ)Q6sRW>jFhY`YLS)3`NWe&94)r&QvKY+ViNRp7fS7c0 zBsqcF5gC;AknWKBA)t!xAnhfVAx=$UjDjHdPzBL^Nr-h(?W&R^E?zQ<*mkH8Jv@44 z_n_LQRMm$8>mqvi78SR>QMe+7LDk2O+VlCljOCmNz}jj_F+qVs7jlG+7oC&Hre z#SSb>NU%dtF_1oT4&3ul$$$VJsfbeLB}@w|f+PUsfDY;!%6}!q3keT3)~|C{!oSbJ zb;N{p_;^{`nRJ#T;pxPKCnFN5Zemb&y!`z`I1}z~h{CiSxvYtwyE%mSgb)#?2tJtP z59ma&6vCdWCJ)=E4r*JV$OkoAtz`h<06Tg&go)+gx>qxGvYk@B#|6L~^={Zs%2}v{ zvj!%>nUMyf$sXTG#!r;gq4SqIIgk^oCm&S~uFFH~1iI;{5#p}PU*KC#T16HEgbyU6 zm0GGSx^!yrkstqXmXn%d@IaW$V4ydTQlh93Ks)LEu^HGWu}FKU?}Nc4i(x2>Nzf20 zBG6eGOXjTz3Mzz=p-55(to@Ws@Y$vj zb(SQ)Cs^1M2Gdu%=gxzu0*`ws8w(%`-3A0VQ;w_tmVE#i;$?q52s1nnC=>K7(CfDv zT306|lvk?fIW(C@L)N5`zfKW4E(-6Ac2s^Uw%KTU--oi>he06?#gkICs1P#ucaVB1 zSFnm;Cnj(dnQpq2r0%1ahgoFnV^o{e`8+&RKMsf*fnnJYNs)lwI$`FR@cOnaWSq2j zByeoD1*T-=M9onr5$!n=VxXtMZuVv#@t`IsXj|}T%;O^&(Z~v!B4@}Vgt%lzbu6|h zi;aV5Ewcc5HVI*xosj2K_KCJ_7eo;uS+t5$NG&q)&rb|La`nS2#oqXV`M&G+KiaDR zuXk-g_6K(E+@y~uw4GjBRN0G-44 zC=rNv2Y`MmRbCXVla!QMjwqssQ^_e;Dqd zvBd80koqR~``ArLOG)WW%@28=g>(o6;1!WgSmn`+0~D2(Y;e@8I$D^Xq961tA)QHCG8uB};U~wGmLOpSb}=kJ#-%7t_qh)Ht%G#OFLCGPK0NbyhHcToWem$s-Qvk z+>bkY)~{`Sp|ifJ_eYMDUou3E-;&hrf z{zwN1Om6QM*?b|K7v!WzVC~g3nbz=ncy(PJ{P1CKx@gjmK+^HP_=)w!+S%$leh&pQ zjhZ4foUFicPLU=Z@^Tq=$L!U1yY|R0HB9n9a^y(Z^Cs8%Tu5%FocT9(PE}d`Y~uq) z%6wa9U>PT1XwNeraA>aLti*A_Zpv=~odIhk zVMFvtTpj^t^$Z45em?b+IQk?rhmw_&7<)YvzA0CH)Jx|ta0_Mv?C;3nU>ULNVF@P2 zzf$)J^^JlAIf;~pQEiDMZ__nBQLfAwXZ-5yaH$a_GO-lUFr4CoKlS|(n$CzuLO`U) z-NK}=pWw`XDFjZcVH7a@mFhGWKLChlClMWDI>SO?)?jnlau9Pbh+UJcUJlE2NZEv# zBo!y>iY^B5&C+r-Z>zB`!~;!PRu06u;DgglBD~jgW2+{JB_gPB_>dVVjgfhlb{Zz`v1L(9|OE7aKdYfeQoqT2tOR`%^9zs)U{UAAu#> ze9;UN7*gi}C4S(-eiLdSxuLEY5?Y}1kQ!Ft3}qw)0yBXuo4};R8)WOClaMsIlum%$ ziW<06M)nV6lMQuzEVSXoYX)sH+I@2XaV!qB5&5YvJ+S-eFyKdOr6zg~YmKa`iv}pe zP`L%D~AM?y(B@G=RlNd@>5)86qXd=bH zomEU!7*vLkY8`2pFXS`b7zhANrT|1ZWrz^BG`|n|SQom=#8@15K1HFj9D4`sgLotY z?RcP6&Hz;*7iY4y$MP;r+WP5WbLaP&!AuIWr5?i-drCRO*3^EE*Y-yp_x&o>pNkh4 zd-Q!QjF5JC1VL=@_?N>a|F`pHfblGC+fU6s!qRKAW@L{%A9y+LU(?GY@_+w>=fCnE zya}mX#Pj|{T-nChSod${FZnj4QhnQ(z2~!o@H}O_4^-Ia3&(bPU--+)OE`q5A4-)2%Gn??PrH7Gul8zTA`DI54{k#z87&KsjDqo~&Xvw+|7qj+Lq~$3K zT<>EzHP$!fEKu(w~AAG1qK z<0a_GUwx%flzy{*M&k84_mQuWD-i}XJLG~;!c2VU5%s~Vg0yBaOik4!t!DE2ZSzHi zM(j}oxBvu)d@viDTQC`X@Q5%3uT%vvnap~d(|}M=@Wbq{MW`+mQTEU%0V?Yu1hqf{ zfV<@n9X?IMVv_jbisNkRyDIF2tdO*l(B;xN#%Ejo*}ex zN}q>DR-C=)S;L{>w6q^tw2kk#aDcE2qgstY#scuTyF+t2P(#O}KzC}ovN;96!no57 zUbOTssB)p`Niu2>JM{D-QR>DHqt@q>I5y|glX$Qu-z#!IDRqDd#L;(*KvhBVNmOHG zmx$gUZCp)~4vizCM+}r8zLggv^6<{faqTqd&3I>OGGrWGA2Bg@JrEaaW`uwus5uj7 zUKIq_3?^{$y#qNU?l8w%K-ZTsK}6xtuskU__>p+uGGXz4%VpuNa;gP;W%|c31m^D65s}M<0YqnFXyhf zjozZ?$PEuT+s5H_K)d)cP`xSO^1L8=A>Aywf8f1=!#Hwt0{p^3$nx<`kdd-5TxkIv zgRF2g!WDoppxLf8j0?HBBI~X)ggoVA@p~7c&?h(qph6|oNKpLT2Fz8b=KzX}Q;tJS zDXKnJgPCc-D17DJT(cqQB`F8GwFrWt4o?6Fq`SeET#Z6A)>;*phPOs7i=acCTKqIC z(7TQ`r%0s`(#{0bz@2!CN_D}Xo-WUa^JTIl^lG=%%aHnUrd+bg6%T|)2ks?|9r_nS zpaTg=G}^aW;ZPYB?{y}?hWfYfTI1e)1Y;8mDF-;GgEuFfPM?1M`0<(-_c7$`nS}u` z$GEC9ryXfxT_su&&BXd z^}oVSz?*>{x#t2S^gAGZ7Q{P+j}bvGfCG;T4Z$k;(uSPd*c9#1ZbZk-Ok3XO#2ng` zi(7fQ9o`x>dQs3rQKCrG3$Y0mFY>l=DL;g{8l~~mr%y9#R)#GVH!Ix+6@eE64FZo^ zw?d(?Ia5$cG2k5QBd9hlzMT0o&}2iUK4GMrD>^ZCm&aE4=RRPC%B1 zKHBxl12e(u^uhMfU4&e2nn0I!2Q*~pQAyT`f=LG@ZltS17=T-|#|CT_)<;Y*z(B=^ zM@OjD1rT6)R;}k3z+1D2-(KQis0@W|%&CBdf&d=WV>2smYbJ&kjo{7@c1u{}Ba0er z@5}9=64z>VL&iiQvd>B?7vY7`ICsBTKn1*f8z#RjZ0d)**+(xZ+0A8s#8)IuW zzBt9HV<1I(-+c>)bhVJwIcZMZ{XillfSg_n!`@Ngx%(cWVE2zghxL*xz-DQJ4P)tr zZX85MK}zNL&k1Yw_4KISB5Uk69JDYiCo~ew?5bnM#jRE@6C3&Y_ry*eUiH`Y{qK6m zo>Zk_QUKe+cZBnVfcVs%?P3fu@t@ z*xmgw5QI=_7X>IVjq&s3h98)Hk&a!!>=jNa3mT{Xj)oRy>OIAG#bxjYDJ~vV4Tgq1 zBH9Lce^``hLR`X+k+u%$Q`r}$ME)bT4dtnDgAWW2svXc0QikqN4wj1^5Ol?hK8vB5 zT7YSysg)O8DOUaIm}k9^eB__Eke5V}Nt3Gdvz^qbD-nsc5Og?5N^)Tcl5@#K@U*mY=x*zI85EV_G_4!q3QlPhn(`N}mpeR2#<|b{vQlsyU;H$O1RSpj_l zhwZZQIOwG0j6EZ*osEqRVS)_mS{uc{$pzL+V73H3mJ;$amvE=d%*!oUW&L=wYvxXhDrWNMQoA{txh*k*i^d7zB*JE_ z-PuVBM#8R;)NLxkxsUl7QJC?Oh{sH`fe1;dJOv#mjf6v+_%re9yEq3&VWdH}ENx4$2-GaMz`FCz8_r#Y|I0oo6)+j+ z1~hT`NWsad2Ir@sgTv6C7()cb0jL-X(4hjA$w44)WI+#+j_iSq_IRYRlvjig`ybN2 zHqHu%^2Q8TNSGp-S0jxPpe}zjdC;s;s@Wm`+*nnDcfPo4@uzz%W4;2A+1sSd`O!2n z$P8x;D;&%Y34gTp)@YIACQU*?Hp2d{PB?y5$lfzw%gela`@>(L;e5VYg-^f)!0Aui z+D#Ob1e&IddWxG;;yNdKbFVJ_v+?HtCf$b!)PXE@h;gHwir2 zaksGi?$(SqyVnOP+&gmht;p4&F9agj{dnH}Y*N0cSg!o=3En-6YmVAvw~maTv+N$T z)35H#X^hJI*1%3*bL%OqYaJa@+9|iw>Q880DolG>n0~J?jr;evkAvP?Wt}u1yI@&0 zYCUg#B#s@)&96=y(HyQ@9$N);t?oV*t%l>zW;j6|VLjD+$<0B<*S0JXi~v$N(rGvq z#0ZpgaZ0%N_M%C`SY@KCAE|Abb7ej}cy^Jy5WIGds3!r`xsQC$(m8~h6?N0!Hq5t( zjZZ7U_6~!m<|ZVV$6{h*`~4D~`Jm4|VPRn*YF-vz?=sY|6lOB4a6oTT-S?UbLY8qJ zkeP+A;Z!b~&NpLK>oqm4IQ8;y#``38l}u?=DMZ%q{E72>#O(_Hy+wH zh~ID!B&M_o=Vwd*D1mX=v4ReN(h40h;uUfD@DZHNomzHEPk*BLfPczY=R z_`l%&_?u5kbIlp}{`93Lx(J_ne|Hbg79SL1(%7b_vL(Pb>72bb_45Liy@1loaD>rZ zt%t>G`uf*k-y!j`m%AMNca2n@Uxl9!u`O8dINqBl25Lq~@7_il>?9y4=)=GXQ*08T z@Bh>1v-~%|TXs7>z6f0ecBR{AwO}seItOm^+w}|40uJtx&FQ%l*4UgZ1_~IbK{UHp zR8~d+!DO;Uj{$$_>eHi$hrDUzy zt+Eouk2uUeP70^jC#B{7x(FHrgYL}Egv%?WMByo^07$|Q6|`}3kt7@PiU1=IskJCI z7XsfwFyso^)rL;(5%)2(WT}*`@t5CxSNb~a#tkyP76a=2nC;n(Jl0O-asJw{D~_=e2p*RmKI0z~QAq=oA2~EQ4%^%{0N@F#%EZ1#{LNIl{0wxcJ z-M6HwOz+NDr<<-s6lZ~_HHGYy$-)|2%S6o24RLG@WU}n5^*7_0moWLSA)Jp^J2rdo zVTGrZ;C9xzH!8SH4d=<*fZn!O_JLV}PT8qLYlr97}?Tjd}FuE%ltwEMa zI7h0-LckmyPsr?uVdSGB;Qql2+*n`g6{IvW&?Y}61tLq8HQu^8H(y1%>!8!II_vbJ zpJuJP8aCd{zjW(KGbpA)@>ZP@nziEiHdb>ITSRb?VdF%%gI%q8l;2!?hAS9&(HEsv1wR~dw08rN5mGQZ_KQ^^r+UACn zWxZ7@T7JR}hg1`H+ziA1-FPQ@-7L!)=%>7wY{!|z?MdCHBN z0kjEYNHu%y@E6GOe}_IX6{!|q#-(GwoX%V6Ag;5UvnbqE`)aH$HD37Z+Gy8K4yNZ` zgZ*|-G|sv7NPtHf?`~eQ#a)Pi_Ke9wHXcjRdalE z-pCHVG>Ygl@{~RGizRC5;j%#}6gvi(4mT0+IwqKRuO2%QXwCh5H*n_Tt|W=TzF2J4 zjP}UjzFWK#>kuiKNy8fF(Lz&#ZQvs$lAbf(vZ3vzk!KN>XfP-BY5xw{y51Y9D(GOo zRA~HwXyqd`84BHZ?}g54-DBC%mGD6oX7$>bXPXg53D{?>5s!fa%1`-)+v<2pxh$BV0Uk6nYyku)GTR}gkSfZSxT@ee`q5QtFI z2Dq$5d2@p=a9O{>U?haursrJhK~^??*SmZtn#ouU-~|+889K^ zAD`7XUqT{Pxm#>A-^}YD)&1>Sj_MlvWLTM^g>$LAt23gDZqERc$Ts)S=ROC~d6nWi zn!A`R8946;A{t{4sOgNM@{0ek0yuDA?Yvie0qyuPv|-kQ`{fpQyo(m~ef%Vo1rMY9 z50kmaOJh&1D_@8X z0V+F%uD6WcQo$0IX}iY~FW{igN^!xhOE})ei!fF;h}=@UM>c&sSJ_t(%@kjR9m6>y z7=hyE2W(J&nj{3vINFAyU}G>50?L7XlBgS@$ckl*nNS%B_W`xX5Pe5pc)I$c0FB>Y z?D@*#cyY)xm+og2R*EF+VETkz)9fMLt<{SW#V!(R-7!|j?OP#6nQ?V6I&vKZLoBly%-}^ z={f4PLkM5b0YV1?l{gB~h9fqjZQ-Uo<6BoG3xK@Zl`C&{c`N*_<};SA$l83$$`hSi z1fwzY#X&-62mXD&!L|3&3Wxd=fxv@{FecB%lO+?RLq!?_yk^ae@@ zs67Mmcl)UZ`)a-855I7H{nIReZD&3vIxp=W&)IAY=0z2kKvfmFAHpZdJf(#DZp8JA zI`F4p<;`_K;(W7ua-^AkIKm^)Yht4Ev1ap$HdiW_0>>V1rGK@fDj(VIx&B#dSLSsT z0;}zJbPH1 ziwkoPFSM)M!F^v}J@zxSe1W7nttv607CBBoq>2fZM%-^)=qLE!tlavW<;666_zzc= z+}f?yEvJ6A**dXR<_6t=68Ac~$etcx(11$Dg3^7hJ&q@F$^}KY%q@Lhb;i~#gCs@U zZrOf%EdTI}{-?f!|LR|Md9Ajqx~8Tn68RPnZ$==d!nh8^8b(0MTw{~fl~k@GO&?Pf z$hZ~njlr_<_1|({eJJWt&6&{@?@x(5MRAeLcQoK;o%#>jHrRv(}6Xq+uJD&nJVuuJb zsl^|WU93b2Jz!KdLh2hJ)zE>QP)+p2+b0135?VaCD_VRzGJ%-r==BaiJIOg&K0tN1 znX0U%<#8*+(t5Zxo|#Tih4nmnYru56wcRk6T1jP^k0s^D|N6{>pvd zSPrC}L*l7NCk+K6$nJ`_cE%-F1X(6ztku*zffA$S+*VwBfDYw6$R^j|Y;JGNb(?H+ zn~eJS3U=;3(%tvg&`+YZst@O1R8o>CQ0Ed#SSZ8x+A)`@UODBGGE>vpg`9qSA)*WV zO#A3>s2;@hEEa~Q3839QHyLKTG?x^=)yPAp@A=2BI)}i3UzoecBfEEe6vh^9gryp!qJeFH-rCmv4MD8DNIfl)Kh^- z)_ayA&InjEYnwOH!J1ZQ!-jQp9}v>;v@}U_-NA<;Ydp3b$tZa{db*qP9c1KmT+p)- z(z>%6tQmVr&WB$@P$t$KIybmMW*Vw z(sw#`XSDU97qQ? z-T2(efkaxR3AnS6xH+ZD<PT+QM0j zBWy!|SIG5>ktQU+`E~hGr2nzL?NRa*=8&W7j5-4HW*!j8p;}#0B!l5L-ozVF>j0rQ zrAlDn{m;(bx(<0t{#UudXzOcvvOu*Exwd-G01(VI#KhwF1R+Z>MZy@f8>@K^(?tIREW>gu?`8yMPp41E;aOcp4g zW(0-e4Vz@9XxLuB*)C~kx z3OFfry-TjWy*-HFeceb>8BEX)c4bU{lXELi?S)k{Rqw$znd>1~DI65i;DcaOH5kzadg5ZAlch_c4~nu`i!Lz-fvWB)F(@zJEvPeB4)q2zEcv|K0q!#H~m^{YP?yqMuc zhi1TtOGQNmXGf;x${g7%i4z7`q~cVp5s)9vNT65HE7; z1HDksB-SHeXh*M3`^2?Vwd?n+II%OQ_sX$mbO{xKH>aB!a;nyxEz^iQ-FKFEd^Pr^ zMSCjJF-g3gLmpe+p1+KK9;l4qp=FeWB8H!tR&UE@FhLoy7)WUhI>xwyC^Iv5jii|FvJuiZaq3FY)f12IE!raTu3V#LKn zJ}R@zPG}CK{e@|ZB0UNTFu^roigF5dmr26^On&&`yfVBbV1%dlWDxxHqlb0W3`Yty z6`oe-A;q+3vS3o6hg&^>Ur09OQshg*37UDq zP%?{Wo1?mV{6M3_SVc@+-0dO$r-##?nsELe&6)ndB#oU`#ZD|JD8R8Nw^YvgGIk6jfTkwRBPX_Iz~;>mzN_{1*?GmN`xP|*0;=^`v{5cl+YDqiV%W+!CL9CX zF!Na}LNLewc0z(di;Mqh6chm?PH2PC7`rNXCeE`J=wCnos2YQG9P-F5D0!EPYPyZ>FFF9{_tkx%{;fOXpHkWu*5ErL}#28 zYC-f#snWTxclymQ2vr{iOef!|E6rMYa-Ryc<$kXm95oeOQr79Hv8AhG7VqN~{<8Y0 z91oA&wV2p8UtD-}T-;tvOzC?#tN(yna!2l;^P>JHG1OHs&N4mgYe<AJFeylooQe7a2>OSXA-NpinmFPxy ziT(rF(8@73R(+RZ9gcTJ{6fvnEmz`Ebw+gI-MPIT^-LgWcgM~@@Vr(tesMFhHz3Rt z386JBENlJ7y0@bA_lQ^{_XGU@=(6UuUdWO1DcNCAWEVr;LbWe*@e%_?p&C~#Z-VH` z`g7!5*^g1A#-DszjkO+@=+b4`{^C~Nfv1}K`ugoMu@*kclIt6~duStIC28Dq#iJn5 zOB544%PK8eKD;pXA>~lmy-5H<>#UEZ)f}DkEms41-D=tU*=9hZ+*r*NBv!eN_cEAJ ztCRs6C=2pje3&3M>@Sv(zAL2VH&U_*LKzAn_!|0z{i7qd(nXaP%g?iNq??YYFU%B$ zf~(%K?HXHO7dg_`BKKAkWI`}*;)i>4;vt!jh^+_(#O>5rnMdNerJIiIWQF6rtieL5 zc3PEw;1dk=P$w9heFKviQauWniyINxS~x3_?6sM;Y~gfdAO%7h7FHKLUxgmauRP2< z1oxC?9D9eetL0n=G!Xa|>e!h&ofz0HY(4dMN$>q_YuK;Dpvuh*lWmb@}+hye6qd zR7}EOO+|_?|81M&HDoK%*mM>}IBRW-rP_RLzIH?|P&p=7<e^s{}1s!X;om z#7|H(r5+Il35Xixi60S`1wno-+^CLIR~U+&_xGAS2p^)=;8t=1xTyk~0i z7|!uzR^#r+qhKKdDG|l}C_%bl`*e|}kX-{X^?skQabV(e#6~}#C$o{F0W6q(p&*lI z+CKmOoX}=&yUl~zitF=Yb^7WP83gp9V#%op!V-`FSQrNn5KxVS+O2n8acUrg98rc1 zQWzbHsN>8b2BrdsiY(#;Z8F;4t#T-hVHQd2o;Fg~mMFRBJlOf@dqFD8`Uc=CR0*!}Y*;RB&7bO57A#>D)v zQaVk=ejr3h=b&!)mbhJi6GBJ($;1i(J3)YzlT8u$_ow@(iVEpprOq+l7LU@~k-pN~)^zk0TDN%MR(^Me8kF%ahq2xz7x28BLYIYpFjYWw$l6DY*AB{ zM2PZpPpWlt^u37Zu_+T*jybO(l)k+U>cJZ;yt!*SDCDB;taTS5CG$%=1Ih3+2KV#I z0ezOj0P2OUH8nK+H*t^UZRIU#=Pci0^FK$?)0uth?FD}Sv<=xG%lx*g;MiY>a6eSVB_~)FujP{Kdgc}ubC1ODM$ARFKAQKKn&JqPp0unp@ zKDObcC~3S{PHn`hQyfC#Zi@R*`2D#REIOSd2_R;{P$O*7)VEh}PldG`gGqTjYC2(d z1G3@9lJ!v`EF7hV@GQ(e(}u&54Kyf_zzbN~pCm$pcpE?%CWzVr$j#5h^BP?MGiQn( z%Nj`4`iqXaih-yEx+CL*)quqUJm2qPA{|Y1qDs~n`_NU>+lB1oDtQ5U%Jl7Z9jj|> z#T)Bh=A6ZSp0T?}Qhz0x1cTT}#Y8gKLQQQDJpuVc!2xsocQ?+pf-{dDD!fCv0qHDM zK-N+oK$r$WD#lb{$L49>L`4Z9pDUf=Db{t8%p@F!0k3iq=vfSk>*ACugiSLZ23&`(UG?$WBQbgCHMJl}d{Xj5jvL)eNkYgmL+FthTL{Vou zgqotag?KY@p?|9&`%QINm?np}T3J<X{O!dddDLuO@|mBZ37mhy%0kuOpHbps^Gj!x za|7qlvt!(bVTmc|9p*SGgVv=b#y~W19X@pKkTB5V5gbw zFCV_twWqS8LNdRkVc}Jh82nCOVC^E3zy20rS-&*Q27RikHwCavHvjG0XskWUuJ2-R zLaswtWcGYvW*Wex6;N$uU`5!qM+EpAxM4V>=E$@Yd931y`fkE9P_FrK@}$MUgzHlg z{Iy;o5n|+nXV9oUX1&75L>AKLcJP8kIDP|kBBN7oG%gW7ABkmBxNiKZ`WXv>T3s^v zUSrL23K|Is3B~x}Ehmn+0(!;1kx5Wfm9>vwWn|KYy-gqys~It9{UUQ-2e7ArzaYO* zmz&-xIG__n#~#je^#TvT(Ptsf_+hn55SLA8l`|H(Y+{Eoc%mG)IudMDo{E{O+1C`lAhz_K0zCd(H9$W)NDhVWT>-jYv&rwd)U(eH8 zihP$NoI&Q@47|JmQXqmEs7RpPSZ*kzBmx|QRNwP8F=2Xk0{`fb1S7lkr*@*8lW$bimN5sTjJo)}5 zRA6>VX8Wx(n(i#-C|`bCmJ&~EPPLZ}E~q{z{v%gk$78nee@IUC_r1;i>fJndeh@B} zNvHeo_xKn`==-#_j_&(y3(v=#^tI(xBIh|g*5;35oVJ)x|P~jjLL~z=^Jbcct z3WmL62r7FBskx6p>xf)S4G1Q>DCoLtFeSw9$+vsL;i1khqL$lwpf`?4Z~AbwM}epd z8>?@##dkF0V9;wXnZT8p5=@9D-%yGN_(4iTlECn`5N|}*i)GVhHCnp9hL*2M`8m(^ z!&#(WcRtoa#M+PMn--!#keCJ|mz`YT*^dy@a@EKq-*>&5LL$7patwYtiA!zUBR{$y zxnowvB*HP9=mLPwh^OBZzMA~-%jH6;-2|F#2EkAmB9;8AllUbAz?2*jXJgL9SIKA) z5+g-%s8dI@Q{o0BywC|10qZ06P7C^63xOuc_a<|*lsM&r#LAC!41(!mB2P#9b8Q7O z8yx;FqyQNQi^7KETNp8_I2Y>qS9N;2jT=ESYzr`+g9Zb;ZhmWbFQ|I=V1>;Nd5qH~xqB9NG&lrR8DDgt~@ zd2I_F(z~Aa_53_S6lb`P3h=V~EXK&AB{^QCRSdRDVp7&kL^$w2Cb$CPDi3OC97ThV zwB6N}kAU6_+QiO#3SWSs2 z{7o789AOlYnuwt^*y+%Vkl1u`q{K~Ra~q**2YT&a>{`--uBL<`S6JlG?B+IFW8j?v z36VV0lkEV=?Zbse?y2~o_RculSt|jB+d5FQDlF&z;Kn#jXW_fxUt3vcKP8=CrU|yJn zr3Q}aGzQ`A=?8mLcM`HjdP=4!kmm7rRX3g1t(3CeAla(9OnSYS$e z7E}Yz8eLFLV#QCG_kDZ;wZE=~G6>u3GRq5yHNI)mr{3Rt)Q|aIGy7uSJ!z<&MBfA=T7n?BNAy)MGq?4gECM-y=lFrii8kWXp)O7|H$_Q$Z z=A}Gq>p;vmAHxpRZVe(u1(1Tcp>LA-O86960B&0q4Mz{KnsJI2BfRHUY(l}|g#(`a z8`v^54pHpT19wI~7))Cn3RJo(#uHcC2StbgXsN(!P+Ww4{Fb``tCp4EQR5UZAPMg= zmrmV4XlSWK2|4~~b`5IuGVsBi_6D#5ufVlP$W;gAe2gGj0jWNbHWQrd+^%R?0DL0= z%d(BuEYzZyJp0~h4DlrPRSE2vT;Y;=jlN9n4?w`fAkC10U^t%?EPz?&kgS-{WD|cK zrl?uzb+{|8C1DT=LO(@bIS5$V@PkCT+k(0ZND9G$S%V(7s$p&?2alFE&PF&EitE8VnJQNIGd^6TsrD$@>u|_#!v}o_b_K>6F zpeBflOcK!2NjL;>t8%oEn~$N8O#RYhYsYOOLNX9)`#~X@Kz&0k9@snAs1fk|A-y%4V&koZ zDIatldC9@~cU21)0E6!9cK_=n-nz7yBTsE`D+=SC(Ee*3>O}L(;lho-V?8Y{CU=!Z zbnz#gK-O>%Z@3TKH#JR20m3LpR|DkT=-h$3trsKIg{#mg{gba@><#3Jlvc7BNEE0v z_18%T<~5F+Q-WQ!ex)>@J-(*j;5^*!eY zwv~sE>nM|Ym=xl4fESRw2{Mf~0w<{z0%3(Pz30Tb5r0&_pS#b4zG;_Zx^GB470ge@RXi(SGSJxRrOpgC}hTR9eI}*1; z3P-VHL4wXB1HWu={+@<;vFZ_FsXxWGdJ``*QA{ z)DrruhPt{R)l_gTDn`)}K)pc-+Kr;sbC*lTy^`alImOgFL9!|w(LvyHNSQ)t*K)=X zHP%2Kb&q7CBp5+%eU&J0Dm1zg<>^4fqq8|1;-*eFi^P>ACk+8Pg%ZDb%Nm3?MHVR^ zTP|}Wium`xY{+F%QC`Sl+&O8Mwkwq{cwF09#?;<}q(QT1A}EN1oufdvCYG5&KnB!;D541L&(LsA;MY4!qiL^$qdMO1^<_Xj}}u!-x{ zR=RM}WZF4q($mGd#<(MBImGE*g!0#4M~tK^oxHg%Z{`zt9zASfMxr_Y%uyk2J%NdL zd*l_+d3G6PrtYm~ZYUiVGMkUCuoWkse9K&H_+|j{T4Z1n49hi!Hi!oT9Yy-TQ~WCB z*>Ti@8-}tGo8_T}R%KD=*p)?G;_bCsBC~#QBXceWp+i2)M~5{0MnV&zP>&dTg+xLI z9=y{XeZiXzTQ{K>r*@sTpr9ZYab4Vp3G7J|kR5>=5C4c9u+&U5oUSi6F($@*e3h+< z$*yeq^@~6CWQZi|r>#|UCI5CDVkMNFVa<^|m?W?)W8~J+(b3GLaotrSQoD^%Np|u3 zYoi1ZvLR|AUrI zeYszJ<`p>IaO|DXz*90t{mDupTQ<>_;3zjqFhZI>G}sQILax%;OA`^|F7CP%^h{nsc)yxjU9+5>+L7O+b^{X8!P}s* zj5~Oo{M(66B-J?MQex; zb#J2NIn`?+y;q*suJFgvluk zOdgh;jnea2_7HB4W^Jgrd70=?7#0oM0FxIVs7h}>!_8#Y1+1;spavjhTc)h$PsxX~ zla1rOCxi%r3D__|2v{gY8dC}^a*xhiVW*TmgcM1?HV5qp2h`NmdM2R%;iNu9MLD&4 z%AK)7F=06|%y|bqVc|^Ke#;Bc#{Ynx($lb(Dq;+LeOL7?U%H44L3@v8^V0?=Y6J~| zCB`3KKcw1%)l5x_R3{#5+~EA?YXaUWafQThEh%hCj!n{klwi*x3iT&f3W)ihgB45F zuycSJO^ORdei3j5BgHmEn||p3bBGV+R&|H8gN#RDo|k)IyDtMA<@mvdq(u0xQx`l7 zq~-<+kBCN{*^S80LJ+$t{sq*ggJ>h;3R`Fnk0Md#Ae>0as&&g@dCU>&A@#n4D*zoq z1*sTJUJ0y>Xu|lNVKsFTZVvKvpxxYg8I6tad%D5(?#KSa=T>Sw6K9{IV2)&65$G4Lo)LXubd2c@Os;!2Gl#Y1StYRQib4&iZ5u#zo)Kuk&I>*VXxc+ViHXd zVFX^0dKI^r@>(Dk@!N~J%izO_Pc2_7=E8EFbm2f`?9fmq?<+l*-P@sIC_sr&fI;Zj zng`=^MkZ7=32DF}*+sb8MEM8T@c@U!-Q9UWIRdJ;G*aRV%~@RU3GUJi%0&Apsf>|@+#afh z>w-6kY?~{dvS>Jzkb8zRHHb*7mpruxOF; z+a~UJiZ4}uTfot1&;fRK#Ta6awO14O(ckIN8|7a9e?Oy--=}okoAi(SnScS{5fpVf z+R3TeJk8aq;p_|kE3}UGC07vb60Vq4Kwph3civCyXmT?C1*dY;ZA$Fel~z17X-J=T znr!;jb`KBFq}%@x7KXShXGvu=9wFznq@EXoFriOH)UoaZ@hw8N;r=};TZsW^v*$NeY9y( z6RJYbG1U0f_QlbnQ1e$GF(TBGM9_(7B-g$;h$_n0$xX=13klj`$7dYLj~@ZIspt#P88pF!N7vvLk+eXqXIcS*ezp_^LABC3$pCr5N$k*vLa;|FdU zSJ9MqF3z6R4dm;|AU!QIES=V!oFCt&c4PcVyc3dN+lOB)@pY9$GRD5jeS_qA6emGl zHbm%GO3rEdRL-ve{eg(eUT<4 z?mTj1l=W~L+YSl5XVE19Ep(% z^XZrK@X(Uj2(Zx^Sgmj)pUnR_@z3}&I-pBT=~2ZcDV=RUt={7A%oQmn=1a6ZE$ z7q2(+RDs%wsLRAQkNa7z?=}CK+@St54vBw+%eU4o-at7>@=>G}J8EK%!IGoYy){R@ z`;X$j4*cmHq(=YRRFv+)x{x%EHPzyrQTo?i=lzQ;!gD-7N}*@hY<1RTe-KWTLyI#0 zIgPmf(ObV;J>&BaHR5nlN>R_Ip2Og`he?Q1tO?JAgrVALC{8a*fAzyE`v-QStLFq zPbBi3BNBrYH^k=`tmMu;Gy4%ChIL6Ka~%}(N-TK5jjPVx^4h)Z3}v#^13(TGqyr^; zAS$KJ!JTHjyeimZ=4jkyNBsZWStfc!~!bZlh|NF5LKbrPz9&_8RJV4sZhKVor^`L@xV( z|LN5-@M`2t(F#3<3h2>3l!L9%ys?2QgwZKpBGa!#H}O5H#TE}PxFG&*!G@|&eq?1O zWSoIYC6PcQ4l149&$b4G;>`^>vOd_Ic<*1Bm@Z1 zLm^1=UV2o!tVOg}#}QPu-ra;&eaoB7dXP zYUWJg94LyjDN+NQq5f*R#nfvFVQ*S}Dl~KJtT7V$&bMWB_a4-y6OowL{5v9%I-Y1H z(8_~bkSYgxAW>|0EkxJ;Y2dMIU)OM+4G-(df>JH>toKQZ=3{s!<+jz(LROt|LtltR zsUG)x6xZcynG*{{lkFMwbg0oTq6)2cEuiZ2!PWUNsL%!>8@#({`tIx7oO!N5ooOQA z8$azJGI?@_`#=#MUN9-2$wvlxOdqrz3~lGE$LO>OFO24_3-?H@8v#zL)qBaX8S96m zO@;vOD9%*H_)c`Xxq|RM^NK4_E4__3&7oT8?NE)^j80lMRL{w1XCfg7SR!kVXVUev za}{>|l4ZeN>{k>=o?1}Qpspj*lB{>&0u=7^16sMa;Ge?B@E;AI|NnN4Tosx`>S)c) zn3y;^p`L$!E0by;v&TVSP?lA5y&;5Zpo&UKDw?17%+e%9pz)GZF=#wg zFv9uvsbWbOz;d#G`5*IWkxf1>={2d$-q zy)F&Iz<#iP#!!0|0SnXa-opJ!K7_-3f4AY?p$yA0d4L5J*pQUTLma1M}=U8?Fj`giG8Vmi@ZK;_i!#n%NpHO zA~5;^-y2Iy_^P!FUcLYb9nsNzOiug2)s2UvB>-~Un2&)gpk{tlPpBebu~fEYJLgep z{D_t;+dXFDetwJ0(GHB8Z2;vNd*!**+v|%@nOwAlb8QO>L?LTKkn~~qT){&uMH0iJ zzQI$)TbeHadXZCX-6>csY_V+D!{4d7U2OiqjkDVh<0$sCg$AYtQfS>bB$puhE|UdZ zteMJEqn+HMaovf(Pwhxt;YA}Lxy8VJbY?s=TmQbK_Fu;q_U{a*aB||&2v=)^uxQ)o zBgbv}Y0X$=9I~MdJ*Fy}6CKCDm`uKNyUP47M>efnl(?Q!{@AP5-s+X9>*(W43R88$ zF=|;|`w37wmo~PWetz!w*c9TW$^W3nvInLmxA)&70e*Z%E%kFyZ^!4K!bBnR(j>GN zMNE4X@%ZP{XW(1I$0TPwKoB;+Sk^&)`kgm7cCe7WOpEIPoT{LmoE^f2FkVmH>-s*{ z7>3<}Xf1$+=(Ny1ick|GFsP}8sW-q4o6a5hMSO~(Lw*cGzS&o~welhJP(&{6zWa%Q zXCuM2K<8pk*cRC)kWCr^*g)dR=m$|iKd_t|@RYCMMUt8e5~*<>#z6Uy+bVKIjY#&{ zP)cxI)a)zOsc)=c5tqX=`^%>c9~_1%i`o{Gsq+%k})3iua&zpEpk{iy0BDfxB z3m}`*+#ZeVZ*U5ja}3;|eKUp;PCJOk?6;k_kU)hHQo)h-0y3lWgt+GAQe2j{bRqpD z=qUODYVdtzPZh(9J-pY@z4tw{4-s}f*RRY>oNO{}j1fHtCXF|>ESYl?j{6Z^=pzf5 z?%PvV{wo?zPTki~{5+ivX|P7zH{J3lE`ff70&sQE)1v8JW90Q&N3eXt4k5emiaw1* z@RURyM@cs6e4#HckE!enZsw{OQDJ?@tzuR)(X&v#?l1ngVKiVH=D3UQA&53fV%}Js z6N@;i`cyacs43J@syTz!%~#!K6fpqyGes8tcP$B+m|?&Xr82=;*rBsW@+7A;;BjZ* zq-ZMi>SE^U$x{TMFr|{fx*thLZ zE4>A-mj(O&{Dc0*KFwnb|NQm3A8geQhM%8v(09JmrRyi#v(I|{@lSh|*UgswV_B=? zL!XQ*DYKPkKORb6thmLrCpjUm$@pmTu>ie{kfjT_yN8EI=AqW$pC#E)Y|CLbVK!0` z1qFpNEU{Zy@G+P+NP}n411f=*ot1LVT4h}=bH@fc+ul}u`VFs{KlXkdU4}A?Mn^*t zUez+kCt%BX6dKCSQ70C7eSh}r1Jel~k30XOryIg`FcIk>Ci4O<*2hqZ3Ose1N&`V( z4CaJb)Fjb7)3%PQGp{jwXYbeZ_zZKL39kGINH$~Zrz!7HTb}!E)Hn~%ATH%Dp)kr(09;spHERa+f82`L*P_X+#VE@xXfDbQ1;s!@chMFgIM# z_oZ+D-xs1=_w2}BExnbW9xzJaSx5hw@1J`(NCO)6n}D4BfzcWa8^=6rg}r<4WT;~J zNt#s+2+PG%8-W6yE?au(>5&um1n@sFpqamzA_0Wvd1GT^q#O!y8nofJ!B7s9#%dqV z?!7~kUYG~qVClPN&)neA5DZVHk>@nM9YV`z-n~4pFZ6Hh$pFy1pT3Jdhx^A z-a0Vbr8dHopk`Z2!VD2A?q>90atr2?En^_;08(ZI2LytrQ z>rL`mPan1)QpGH|zTRHu2`h*PbYMFJw}c1`F^z@UOMP`-DZZO*Qmt!}c43Be1^p+Y zj4YURni~RICkm*34CXo|czm@yVo-LoqyNjNmzJ#jcGf&f#xYXHS0h0$8e@?=d*|~h z+y-54@#5yw&lA7JY!l?i7^HRfZMBiW+O@lBv<^m%zin#rLv)7xND(0U348IE+c9Hd zpkMsyhM_xPMu1N-@y0PwN)62_>bM;+<9puPqu71)hPjtY6;Q4kV@;33Uu2`@TP&`34}E^6c5OY2xRA7RKKYa{2a#GO~q_I0G|8)*Ubb zc0$eE_+KP!LUcXRVx$XK7dOAFSIuNKZtb1}C5AyxPENx4ua;NDYW8@K!nm3_IXMY4 zBX3|e>oD3=n(u5p1}uNXDb?6N4##tdB2s4=wBZ-hj1>kG=Uj@eT=*PJ)?@j;-M*?U z5_bz!i~|i+fm&lF{K_6W*}#SLtGRR2CeJ_-OhcP-x#5^ynz>qd)iaDkxq;5_gP6R^ zvRR^hc~e!%KAOma=5}aut|QS*z}ec_l&0C)c21gd@owOc<@2zlP6EKOjjBg z1y$ONd@y_T=ut(osVYYN_Iey?#j!Gg{uB%JJuj1WN>QGtrfn=>O&n4ciZcw$qajr^ z?YMVqeTumc&6N?O(i=lE@@A#0 zgTL~_P1&cV^?%rV^QfNJw(tLoZJV_bGG!_%WM^oHGVBa}i&9F424u=uh)9FY-jNhv zLu?t#(4a&#Aem|>8>PXNGE{@)dozSlDnbJRSe3WXOc4e+RpG!sxSc4Amotzr^PQy+5y_dKpx8CP@eX;7W zRXaEHW@i_`$(=8*}r}sLO-Hp6lZz+vs1s zhHdKQbWJ0S%VM7GSaD?}y&*kZ0%ItQ^FMPbZVt%pIGxS~pOePR;j=mzEmvEKz&7Vl zzbW4vhQ33}%csjjyP)>4HFv4e&^2IO7ni{D%o^tP$@M|gCWQAc<@wpkAr)nX19e}T z?$@^1vyfw(S1qH~3KHE-<+80s=|SCO+78z}mPNiv492FfGko|AxtMAF`iq3u`YQpsR!nYn zuD_aUxLc7Q?|7KQ+sP#-(cR^k)gdPozHB-~xEQ-VU&OfzlOB#Kt&VlJRvku-8YQ<) z9fHYqymR7ws#x#j3j2!9e@(Ex=;=O>X;Ta_n`AKBEZN%`chADl=Tvp0@Wh>R9DFqe z%)GFmFY9KkyXT@s?Ynp6HBM`Zyad_r3$aCyya>LX!n-)Cx|~mPd-?|hhw=(l-y9OS?oq^Urgz&RsZY zRqC~jD?VD<)7)kl>5!%5^~C&?WcfVl~yFLx<$XIQrk-VvpiyPezeBwK3`G za8%vo=Yv-)n%2L=0H=#zgPyBj&Q4*0}6S5EE`t7muxh0t$Ld_ zM=-O!MIg?_CHCgoix_~R+fnXNRA39XntxKad@9xXW+=HQu<&Tj3 z{%rClcmuY4k%tDQo#f6Z-T5mqkUFd6j#Ap3#<6GeBJH9C_sT_Of17xn$71j{@{Ok- zl72s3UFGyMbF-krw_Cz^{LqrJL%IBT)EAlYLb z6D|&X-)a1Sz;%N42-h)J>uPj2IjCmi_~U)bp6_7}F;D$|i&NWPr@rCz^1#NaUTOI4 zsRLh?%ecG?Yc(}BK?l|`4oNwuXPXk|GqQGkZ0b{2vqotHN}JExvnXqsNwu z6f(nx8N5HvLdaEo<&|e{%*i5O>$wCHmm}G-j}z)f`3`)Y8FHu7j@cVulns^vG2Q+g zsFYV7>RY@15*;hjrpRR4!{imYO#J5l-(p*|?LCys-lLHk%~UI1-HMQe2tdrGyZ;Ns z;T!bw&V%M|zI|xaKz{{hDI4duD{(+JKZ<4LLZq^3`=@5EB*6|Sj}j;*2Y&&CoL7b0ZJe&)~0xuPX% zj0|s+oysCwe_t`kebME9&i%SaO1d#i5t3XdyXtX&L+o9b$M(nz{-U?j4bVjeQu+Y|o(J#1HAFny2 zYgBk?PZNFnn68&Yx=#V)sCFGK`na4Umd{1Bk;K|XfHcC!UCA#%D;=)Py&VwX|0_2X zYinug&~hry?lTMSEHlYJY26!t-tSzx$a65nVogn5szw-XY;OS&vNW>O1Dy5GbN{)08?lBlIzYPCJH21_mPH^`0Ok{#-tyP+aw67^$XUqM8{3$?sQrL%bD~X*PU3G52 z?L8q#$H?gGmi|6#6Nf84(0J$f1P^9)hZL0rdoFAaVas!I$jeQeJk>MKrU=fO^D325 zY`eE_@1a~{tZwD>x|Z=nmYG{}wgv|7TJ<`lX28tz)9To7OrZ#Pp0fY_4>G>uAH z1RpwiQb(DvRkQBPoyv#g{9{HT#0q6X$jNaJS66*;Ri0_x@a#C^mv;TQV6#5=(>Xz0 zmAtFT?W*4&df@t1t}9w{5gzKe#`+Zuf5II)Gaxv4jpumdi!Vw$l5KX^p&v*WjQJ|>k5xA9HpTGc1Mb>9Dm4x5s+;-$@ohK=7>QI8ns zEq+{ToSlLhy8eRQ&#C8~oScf8i_@+q`PkRSMp?X;wys_8XXbnQ>ngd=_^9ciD?Y03 z7r%Rzey%o&S89G+$EDZ)^RI<%*|KFv_=xdC2~*QmR1n8UR2<#Bb?eSuRW)iw#xQ6J zTE`Z3-|?a_gK^rE+%KYNs+N_xHq39)wCUv0qZPe(6x;=foLg7Eh&*&F*Lv213^l7d z$NLj&yY6QBOz7s&y{+wA@#)i?F+1b+*E$DqnC?IBizz%PpwWoP8RsG+xhyu)YiqnV z{y5c=YRlr1k|?l!R+Yk=6WsaNS$@5rKW)SHB2!hiz`zR!>s~iEt?M87coNl{w!s^% z0R)|t4g;N{Sv*~E4P%>aMvqQyH}j2WTP?Mi1dqZSFT7XnZ1T5>>(@PsaQBSMIb8JZ z5c-pvYS%8Ux3@i1JG(zr*Ry>SG`(rY@{#M4tR9`2n;|jn*w@p)bm_9#@n{4a;?oDS zVF$I6j6RiRd6fPIe%|$KllwJDZ9_7%Wv}p@6>!y6#*sUT| zSxt+?5r%Y9BTUh=j|rXR4HDJaa>vH?24|@2iUK0euouav3+`EsIz`xarOYB9&>`tGGfk+0K;`IJ&RGZE9-|%bKbevNz_UhGZh*!lDfnppZDS!HR*h*HX$0(oz>^HR@X&Cy({8eIma`G6$ zCKc7kMj^SXWoiz4jn|$DG%)O#Sv0Lx=OKwM+Y7@6rJbI;s`KQisRK$2F4$ASS;MSz zlUYt-p)+G8a%sfruHC1Po{o+g)QK&8&VlV35!NRs_v|)o#aIZB#1fxTBS(&uI+kbC z{OT}=kE#lXs2|ZoSJMuhZwEsu_m9e@rr5AMo|=AkJYjZyk<%=*{qHMMW}clt=}*cq z7TnO=*D-F+pW%HgJuC$Lu?6K4Z7J|UNNdt3?(iMq{%ljZh4-SobpORNi9+r#K5ls+ zk_q#A9LXvwtmxNuHFsZ;YqDABd4Wl<)3VIEaPG0`8A|gxiNtJ2ufL7lkA^?W94xpp zyR=COJX1EP=os}>rbZa0d*Yzs@52aw&DGTMF?!?d8))M8IbWa~XJ$~^8~UKl+~3pR z9d>_TTD0?JC%KGVrBX$Y+X4NmJ0YkmB(M$4h{v#Jq@`l2i+sis*g{I!r~TE6awrzY z!I>aA(Zd-aU{6^rx1cZOa^?mN8c4B5wKA*Vy2-c7W&9Y%sfLjO-vVoR1vb6DWpER^ ze*Xl69H&N=qg?4d+UISywp1F@v2Fz{THL6R$h-{JTaWe-v^% ze0jAS-@IGpAirEL^VvpvK0or>>3Q>GM-1vP@{+=`U55_G{rnX54BZ!c@G`hZ77k}n z+CoVGyqZ)ht&>y@(*Ptp4aT#LXXm(dPFVTc5|`}sG!0^ye2%?x z0Y`9Gh#BaIoA>TbkxS-so!s1FC=j_2ZU%oPF6g3Ca|_eNVoRt@cCYf^cE>(? znl;fPzFKGc{d6)IM9N^t%RY{v@%l^ek5B6It-5+TB z334|Nj7VU>|8a1D6BAc21R8W6wj!K@_T|IwE#(u*j)kcChXY zDMZITVY>^@^W-(t<{bFVJ8sOe-qKb(o;#*XYMtE){52tFzC;;(>qa=afrvMxK02 zpMU)A(|f`J22lV)L@Yb5F8#u382rzRdNvOrX$QrgTxMe7Ggi_<OhH%~Y#o7;5%vm0BZpuu(X>{B?1K$&RrSrjvA*1N60HFo^?V*Xz}hr|z#EoSmt zj}_;g%CtEayaVR6m|uO5?$feIF+v+ae-dzAOe%yYgl>~d-np;Ct5Ca1kuixrhiWM2 z%sdNWRt?L!OW`nN_(?F4+#ufCaFq`RNZI4}{GpH{XMK zkrq15=o1F0C0RtO_MJON(naz{jQ+C@!L2m@`DgRwO9>wtd~uvCJAAla*B%f@j3?g# zg6XxTVfphu{4~HIm#&}daQ*7FYmo0JLD(lJANf7+JTWYX8HEFspFV%S$Ld#&U7jw~ z&JKDig-pz24Wcs}eV@XH&Iy~Kw&%_YsT%d1E+$5~D8Bkrb1i1+_~E(O0Mxs8kA?Dz zfPV(`JaJqQxP)}cN4F!UI&Rmfv?0AZrmUY%E8De3l`AaHBS>6gx|XmE9)p*MoA6*c zs5C>?eOdT(aN<6^`4ooaiG7nE98z${WT{(o8yN3Rv76nM62<_~3B>4y(kk-&m`7F20H_FU)SA4hlw4{OV%eH6g zjB9_L7Q|)gMgbuRy;jM@%P7)~ZV-8^V4SPM_#e1Q4-$**CChzRni<(c+_TEst8;FM;&~zjnPb@VAv8pN&%{KVNC!7cY5ZP})BlVcWNF9}zSv(AOFL zIQ1YRu>LPxQZGr1hMnfknBnFK) zK(i_QPRDLdR__|Tz*35`kb%ytJ=7JIZn0%U`|IFN$?g^4?6ZPUBi}Tsm>s_2;nY|slciLz2#wijZ@Fx>>hp(2`KF-2>AD1x z@?VGV^3=FjwkJ!WP(>@pjV#{n}AlMRH04U?gtL*%2EXD`*lD`uIW_g)6a1 zN)mJr>NXOywwjt+M{WNBj9iOiu=Mq+<=wk?7eVsXJ}=POYTF^kM;Uv(5Vj303LV2? zJV^OB`|~9VrO1u#p3N>VD|9CM?AVoTo%sWb=ylM{0zOMjV^f){z#;V@)FElbr%%Zy z75zAF_+df>C?Vlw&WY23K$t;A01kM4^J`)-eQ-SNDB73iJE?7baqE zP{ZR;G?tlYTT{M&vOpg|oRU{y7hGQah~&7f+lZ+QX*vr~gKlitsL_E?jfkum#}TE4 zmz_}<1zFJu(Rl5;b;-j!ygSVNvw)zWsT}R0gc|$w4F~!=r#Mij?l4Fj-s8yV4GnMZ zH3*w@)?mS{y-zpo@|?y{f;^$bh~d-9$mAzHtYTT~84JEm@83bB3I--b5oo4|%uCx? zvvR6((E`iCURp~RLwANh>emCPxng@mSWiI<;o?3&xvhGxtQ%(epWEw&B`SLGca&S1Epmtlx zE~KtBxDh)<-`Ln8O{0eKK-S!p=D<-CB}I8l!|k^Wi(Tv1u5|?$F3OAUWU)PYhxu+j zSMni#r{GmD{%NC3Sm0GJVxC7CjTbVBQL4j7^s#wc_`E_R{q;!8P@~!10(-bG?{3d; z<*kGjRw|Ve4Eai#Bc@(9>(IXaF%sQE>Q-3WYmSv>VqDYQBwv%tVy6~J{^6^U?8$anZ#ssCQ&qeA+3WAGR@a$4TD1!5 z#((Y~HR^yif3@zfoRW?ZE&35>h`V-wHg7LWulhdYl;ef-TX&}JP%Us6+&kZ7au0WB zb;E*3R0i_`v)Em$3$NM_;w+cH$uec9hz_OWb8I$A*7r>Vt^U*T19i=~mfOIuuae?I zTkc&slXQosYb_<=!viAG3dRcOLOfKr{e%q%7$)ur6;Va(Zr`n2X|d7io#aWzL>hlJ z`bpu}o6_DwWgeoxbmbu+rBa1-^mhBi)7`h;_;lBox9$4pKEjjO6^5^T708t&v4o!o zIemFE)r+#Svedb!{Y9-1>X|rbo3vscc8ABgJ7)FOHs5tuplwFqLnk@;RdfM`aSC-X zXngv#?!!#o8@uCSZ_H<$nY#sM``;DEf+KKj_&ZR#JnxO(Bf&<9FA)U(C-HSNWZ?39 zWedX{;Twm0SHcC&Qe}G7Jw)^`C{x9(G(R(G$vQJ)OP9V{*RLh7{d}Au(o3;W^t7|M za5~iD;kgBOG)43mCY*1)i+Kw66Mol2=eSA48(QsY##6#Zd;vxvYFVsVx>MVt!zHfY zUWcn$XW_{C6fA<)l%mb+cRARfeJ_~?#ySFglc>|vCJGJ$p4wV+(W*C-_g690d?u-l zCEq>7C9P$XzMBR=zPNS@17M_8Ui8?K5N98E4|aJ`8pyy>&>R$t?vNq2RO!{#QOsWu zsLNv02D|>-ncq!KrQnnh+hOZC5rlXdjZ5D(?n69?*Y1Fk`yUOrbV-6OBY{Oz5h%@b z+YZ2kFe=r+Rbcg`}9Aybv5Yscm9%xYfw1_9SS%OudcH+OcS}Q zifIB;CoULwz4upu7Anj2YW*$q1LIovDWSq!+3493+Oo$Gb9NG^C2|Qro=_tK2WtB7 ze85hF#xh+$V5jP8)_)3Y#;GipV2DB=)tfl`TfKRLTMr`8HL)D6o8^9;l!yEQO3J3l zeHrTKxe%337zOo?9s6!+xMjpQ#&nb;r_QK5fEfMq-~IMrLBsMx*iFKYK5fI*l6_U- zAnWk22SO1kn~c=@Eo~w1-TKbv>Jr3D)0oV~hD+roV2%1HB?Vzsi3HqFr7E(uu~FfK ziD&Z+AX#BnAsq5egqqm8^ZA%QmZ2xHPtB-v3^!|I2L}T4zn!8AU>?uZpOV@nxB?8f zR7Cr?w!Jo0_CEAxeM+!lwLmf}p?w|>Z~80JFO1(k36t|OJCNaoeXrup@Krs(`StW! z3@5ELejUwk&xN5S7%LQsx`4G7z=d&A*@^OVBR#$F+%~=e1(298^jJMh>ZYvAzP>el zMO8TaC6Z?l`2VkSUZaK$yLM6wE<$>riY&ypJ_c(yo|<44sA|LI%f10)nyN={h+j_b z5V4mG2%eFejj@UYoi3haM3X%Q*lvUIpv0-*A7H?FxrBhRPDg>>y6_GYA&b_mm=m6dK_d5(*BUZu=BqJ&a7nhHlF(hh+&;rXUcy-|U!Rbo6+ADzQdC&4_8cp1mq4fWAIEV= z)|FiMSrb^A9R}lhqOcDy$9qn0K9fpz(f6+(VbK`Z7ZddP`hJk8Rs^!i-@nej>b<~K z+CQ1DG8tW8Mg^j#A9`lr*$}c$bUJtlaXB^bsK5TsdCbgz2oH;5aO3**g&2s63oazI zyZ3B1RG+d%hyHhE{$_Ot<3NK&591?vh3h_{%cPK2tx7-WLn5faoa%OjCiw^uH?F}E zNoYY@5$FVxsXxO$fgJ_%k#)L>6)?BW2MxYp041~8$9~)HC#^gYXs`}SW$D9f{lHm> zOi>i9$H{FYdiK=JgIhvp6&`KoSM#Z~s!Du>y~%-F*7Y&z6VSfjag@~(8~`&etvg2@ zOF|oJ6ewj!l6UOZc=c5LA*D|) z&1BVQzv`$+oD74j6~XHnRw|cu>C{P*VDRS6O_kZ0XqK-$L?!Gb4};*{wS9}$HXJZg zYeBBTtR@*=9}0pwWxT)0FQmFjls-EQULCa9k74wFBkINmLOlCce)y1B^3ng}oy9#% zBOH>>$Ptl;xP#p(>UnBV!-fqRC#%mDsHXfB@1l`d=F`n;Yxd)oTY2ck`QWNyErZZE z`o67LVlq=ZVcV81?q+=yYI%ppZ1k^M5~}Yw9N=)R!4|&PvM?Bx(Vv>SxCH+G`|t0K zYJaWu9uRKAhQ3EWDJQQ)@*$VpE*&p$2RttfzaV$!*!14xx;F6F9u3^ObAavaCtpG4jnFunht5x4uY4dMJy z-lmAi`}MgRuk~+ZWbacV><-DV@qPKJhe_#-XoD;K{JeVwi)mq5c87dX2F%Fpk6 z{KjPic^Pq-5FUrD{WO>PS>vG&Dwp~qUQXIKXk3~GLP+kgo*yTJFJj@qiS@3+)W2`5@=evyjF0 z4^G4EU20qPZrx51mlk6&Vpi&j_YW&L3;3%JkrUynaJv(!GLKq9|kjKG?5nv|a z(mdW?c=KkV5WK9E9j``o!F+{hspQ$0#6yJTlPs4ccP3l^CMSUvpNhd_H++Cnw3&+c z1yO|L5>gDQ4urbs?%@qv?>!$QOf-vxQ3MTmT3HF<_2t{Q5&Y{C)|EOshx<@Z#TJ0v zBu2#qagl~!`u4aFt2(&-P40S`v2y~pS2quJqtTcnG$Tgc$ciuF6@qgvQ~RwpZv_5gYH~FW>x5buZPnfDVP4q{#%pZZPNQ4{ORz|vg z*bE1Z!ADFeWW-^*JvFD|tB|>E^ZxzY4pZ6L_uC#JOF%PDgp07pW1y|1w6TMIQPvBc!E3gW|_YXU~18H;9QrTg<_WKSoW9n?ox4gJXB>^yyzqo=+pl1C+_V4+?X>S`Mqqc^%B|*tT1icaeMJYWZz{|# z2zS%wSX(In1RNZ#8027HSm=?c7TV!r9Rh z<=Cx#gc~%y(nc%~T?fJwg7px+_dfF^1Lnf)N^b@;+M7@+-<}hu4vrzixTW_wTmChD1;Q9Moil8G{!dipeZ9Ki_`R-$SfNkMtbzl$m;~3hq;uR2rrx4yUCaB>EGpA4Q3&&+LXU#mjw3BJwR8(4d7i!Pdo+FL_ zW;?j@ig|z7b0@mpnYl^`(Mdq`tgNi&Em};OI5BXJi%U5@OTtdSdrh3`8XzS(E0>Rm zDA&hh41bX8UNjn!`frr!yjbU0M2?xkUY?#3hsCKTke-n8(4*&$MI`Qfq@j2sn%DVn zpmGtGMVOKV-R@q`b8KHw@(D_H+1G!MSQ8VVu6vZPj;Lyb)8E}=tfKCWOL}V&W`uD# z_qB1QP}NdkVW=OJrbAj4+11#@#Iakeh+WLZmp{w#HFq~&+wA&<_Lo&5Y1M1GhYuj$ z z{N{W}3!CVTtt$;M@e?r2Cxag)r!-{!M_8O}rB((Hzpm5FzX_SPw7@uG0-VSOm2*0>5 zx0jDuhlS8Cd6nx+@E049dpE_w&F=HynZ$U2#$|hU{=W|0x>fGLUx72aA6*>TrT;!a zkvjSRtbC}JEQC}6T8mj8K=!1(fx_Vqk4$HSHD^mC6S-%h3T4LQ>xbFMbc+aa{kJv^ zH=v5j;aGW)_5rFJ*JCOctAWSpjLQYo!ZLjnB8g)#P$cnhY-~RIT|$vm%wiMdq_a>R zRukLBvoc`%nX%&BJ$DCGrLE+W&Xvmf_vZt7upnS5u*cER{eB9OviQlR3!?s2#~f#; zeK;BTa#^8{!f2BeH4U+CB`v>FQdmkw-Hi%Jhb6!zAa;h`x>NdytGRj0mb-$3tpZkK z7KPnTk?3BMA1g5gb#B)4iXr_WWl%IxNBQ(Z2CgZrKz7VRde;F8(U!w|-BBuMtBJQ1 zy;TsIOt#IgtI(T0{d!+3z6`qB$L4uE3N0;FUANV^dz5JGBfO+R5Pk@sy%LgP=5OK zDOX?dKa01-TPAx|ur=*FA6DI~#WHeGh z`iX{>*lW;|4@@L0CeR7LXGad$U$sQUY7m{6y+GT;jC#_-WfS+VXVF-`I{B)}52x{> z{Fs79Eu2-hI1gA4OZpFHB(2aU5xyho<#{cRqD6U}h{8-O>AJUN5C{`{x!7aG=`XDX zg0QM9ub4=a0H=7BN6W{iun5}9g9i_aT!AmY@BZq}F35GyPA>EuD**$|9x)^wqf7*o zkSmu|Gc{!)L@T@7maHVrHbj6C1_Lxj02Oz^wl2SkYam|p4i-0|i}+B}oBVC2^7r@W zs7`p=Z<`nTY*QzEjT}(28IS1qBNJb_0K>TB<^dFu4W&>&@>9JAAmuV(0Kl z8D5#{x;EEejm%IhRfYU}?fC+ZZQgX}jOt6;R(oS@BUJsuo;E30+RM8I<-oZc|>3mbSKZq9H<<20W+A zk=~n2y`S~e9yq31WxFbP%i~-XO>j%3)ENYW~TX6DP(biQPkK^yuU=WW@_JVqn_7Q54gj zS5X%o#04lEfOMj;GXFe!G!qJZDr9ob;W3R~-r9FBx6O{`#NsKG5HQ+!c>Pt#lS-ux zaHw0SR>5L1lYSG>Pe}1ghvpsnzxik3>5U>_iI@oNJe6tNr{hJw%Lz6az;86H-HRjD zE@^qy?Yne|qJ+TC`{0j~(#J_tc+n)6S5Ls%?~jgki$~m1MsyjXdTcoK&t-{e(6|EV z36Ua9#sqEj=f5^KNr|1&zeD3DO++N%z(`%IC0cLt+;}8F;JZlGbxf4XyHrTRc(+X; zC(3*0;j2zEvex~Mq3~GbHECNya#>2r{Fj#R>e%IQ(CJ3H*D1HT-0 zG`E}AY3)&=i;?ysV-^I8(dAuxwcuG|YUc#_eE&EhH^%YNI^%C=r|=2N_8#+3pNXz6 zguA#B+w0k$j zjVxEzeqVbDMJ=!90Nia9yEY1!#m$2z7bsPP7C?KnkZ(@ytF2^`m;_R{^o^^-2LR)U ztvN{Duxl{?IXH5mhO?44&HGP%jc_DW7wWlKT1&@$`toJfy!FPZ0K_2x;gV~KB17Ue z$jf>q^+U5}S;S)gP4yAC<|!XU%<*O2^)4v{kxVo+a2c-wQ)tEI4wP;a{Ped`#fC7*}4}0`MJnST)`jx|(LTZ2AquIB_$BtE;OCpitKI34H{Ic>3CX*s?SS0#lrln=5>?#BEQ1AN$b7@AE_&QFB+UX0I6RDK;E1GwrhN17q5Uj&Hncp?hZ0PNhG1d+ zeK;B<-DC7-%pPtWAnmdcacA_~d|w_|xYCO7n+Gc}bp9<35P=n^am~`#bi5Ia-!gS+ zGWq&IXj?TG@T+cf2MQ#t;^*|6_zujlP|D1s2*J5WVY9_^DR#glEA(hBC5UL1ZGR&( z(YPt^?bH1lvA6VaiNyqMXyVD-Dy;&|VJVPt|8e`oxMLPlCcDI*e=+YK79NK-Emrfz zf2P_4O-vfT;>Bi!68+q*Ui#3OJZJl?^nhOgjwdum+ z1&Jzf6lc$Pu}2UI?BeE(+h4Wm&p(yfrlpHF#PN>9QN8J}mZsd>^Rnf?U2d70tanjg_i#JvCtd_=EbWsCVxp$c546TL zAU@5KIC*T9M7H^pFAU>Tf*i(znB6_p?~nPkMkYq4P8UHlC&k-KzM2?CBxhhWLD%JJ z$^lnI8`8yaUF~;0iP5+M@`ytoROcn`*lolqK$?_c2M^v<8?2e+KO4A%emv;PB!H`h>Vo9~WJ5s$yw+W1vkiUk zkW+H$TBlZi5*HHq<-_1Fl%l07wTemxR)SrpFtalu2SwXH{fg;*9LT0IGpPmq9Xk4b z=5zlzhaa36b*$M*$O7pE5%>-on?lilm$CoH@ZG<~&SVGw^AgW3)^caazWR9TtuEz{@I zwGlHP{;H?HbaOy}4XU1i4*I*4sDdfv$CuBa?>y>=HBo{*jWQ+dH6UOvD%br)lU6NS zx6box(1`COln^bkY}5ZlQgWbdcTVC;8yiJ--IL`k?>{M%mmLQ}3l~YaS^8vDd)KYK zop!F*w5+DmEuUN?>@f}9qJPSG1<3qEQI9ovV1=KF!Dq$<J@YDGstG1Dx6|})M*G}nUcWP3Ii7D85!;M zAEN*2WT#%Y-ZTm=Qe=IRz4!4!K{zX9IbMDm-~HoupJ$S;jcONO!H#`5Tq?&OfiRiHdy7dzdbeYOHrdLo zAnBK9WYz?!a>_m3+)isnkj6#t*_wUD`iXa?qp(L3R=|;PgP<7$>BE9<+NC8lW0Tfh zPx~xD!=NrziDSD&{(PvdH|+6RGD}-btga(&qoFG&Ov7<^Ile z>qgCS1isi_a&|1k=nGI3+QLv9~uJmMQJ#JV3sC;yp zA_IvV@A|-0DGf|ox9)VH6a%mmS3v$gZCj!iQyV(|hu7z(R z7Fv*vErq}rVsIp?#ixo2%O9kDO~rn(@<8qDa-xJz*=lobA63~=mXp)o8>TsoEi3QA z+yrpG%tQFXWm&p#Cj6W{q5@JL%Ei>TAXt7iO}`N{k~`c^_gNNvna&{!3sYep%GMpc zdd`c`zk5~nS=A|e32narHXReIR?YGZaHgVYS^cV$L?$A_Nu-ii@6!8mrV=OrcLno5 z6&AmcVfTE2V|R3Huk+V>UrL-63FR2BD=Hex#F5>l48rrA7A zLqeXEARZI%Pv_DFQ8NS>vqI-0?np8DHfUbk-o1NkD=BAJ|0^?~DzEm4b((xD*MBwg;jeED+JoGWASLdQ^+Eo5jmY48Y{ z3!WTqROnzFDil9cLZMUkX+>b~Z=KoVk+gpZ<0lcLVdLiYwbhS#Ynf3Q}u&VK1GVas;K~f&*X2Wg%iRQDzemgo_o0t^c-)y%-DvK+w_kJbm-7 zhY20Bn%K;YnZ;GOZ?z(2?3Hc0JBI<5CPVHbcyhlo(U0L>F+BT2}Ci+lnx zFzI3HUenbIUkGPU+GpvScoNq{<6u`7T&#A12F9nAjks-hn6SwI@oW)Ted~OvLM*X& z=fekg>+(ym7M5E!iuioBYnJDoG8hl_w~KEo@&xUS^fr(e7t(|vX0m=RjjS%h2cPt< ztIhN6;$nMvbc1>Lr2v4^#7;A;Rz~usFG2(`u}4|oTS}aQebiz1iLV3(=(Xxla@OJxNSb$sDOjW}4_*HulmWLBbpz6AA)BDo(TV z%NJWBujAg9sRdeP4_JEb{nc8d+|bZ2Ni#kEZ5O_iC8HlU$=+o5gfHAlex3Kv_Az`U zDc+wja!Be&P0jx68zhAvSBkx z`oS3|T=_o?2GGYSN1(KyK#Dfou-sQMtFKrI7~D04vR`b&G6fOg7wEHsehfn$8o{(& zLF0y%`(Pq)!`Mac3Y&AKwP>5HGHWj#e}F|sv0U#~DmxafDTc>7-xYU7tqobUuI=lK2bwjbSzX-H5dEG zxy2xoQNXg`4|1N+lPY~FT!eVtXT73G!M!_w$??RYz{dbSTz{29&&Q@sM*0}!JdZ*X zDMmy%T}p->4bh;Q10qJr0DlH;{z+jKU$2bpoO8!eu&!S{)&*BeV;iU4LM3h% zF%{g1n58DoVA9lpc38*{6zeyaaz@T87dS@{-3nKBZ%e%(wJt^A z9wz(koYL#u#Y>lD_9lGc{%YEN%v6k~Ejl?(@!@(TfitQ%dF?SXJAtYY`|MmRWQ-hG z7wLSauVx$!|JtH;l}x#6+<2J50GsE>LY&Uj7GN1+o{7E9KS!9vPEHp z+vsiNKc}+>UjBZR|FcQcU<{okd$IZ;LO)K7L$p2zq~R3(JN!ab9rJ0#XkZ_XVlrU_59<4y)DcC^UOg>l-6*Riqw$rpS#SAhr0tRZ7N%-c|o&b|1>KQJPCQBI*fNTJ%C`i40LkW)icxnwkdhU$J?;f7(_vb)`+jfqJ zOlX1wIRu%r!a9(mIhh69h9 zdBDm}gXT^KYzdbn4x(|*8Wd%;<>&z^C4oG=xb`dp&Z&*T?}u{&{#_|d;%P_m+%Xna+frJYb@gQ%djQ``z4)FE$MUT7CW2oj0KAGfc znXN(XM=0NZ@#6g_8VU!gnZ*YG1+C~U3#Y10=syRK2id0|y13ALF@b=D#~OuA8}!(X zc)X}m7`}No)h{@AtY}B)Dv7xA$eyubUw0cy14^0(di zudc&anW>})NIjjZXi1G1g`7=jKP(wqx`PH~UwK>9RGRCkKg-tEB0{0%Vk^oG-P>Go z5Hjdxw)Cq>Qx>+cJaBF~3Z)*5n^?MF*oBhh-$t=TWX}^L9lJs5Cbl6-(L$qkYs&LO zXE)Xs@UQe;6CzHyk>^!l~gv61i^B zax8h-rPcO4jrwcCot82}@2{)h{$HoZHc-?}Jvz3TARpOCI0BG0bl+A~9)?g7k69Il z2T_8+3YPko^sqi|OxQL%21i<0`5k8urvPbc7glI#T9V;{Y_wI_eM(eoRe+7O5t^yJ zO7}6Eg%(A&JrcOo)Y9G{29v0;D?k6xId@AxZ&xe*b-aU~UH;&-lSGJ$fF?~o0Gc6g z;D2^M`w9%07q|ly3cDTp%mFZ_MaIu}9rn@9W<=8~6eB}?lNePqDbFzQ;rUe+v3|p)OqxB z9m2De6s0Q$7>yUVDyNwu>jz0i3>7CIyedv zn#0NzR3r>j0cYWl8d;(Yc+e6jKIF^P?FhK8-PCmoGy^ANQW021h&bCJ5tHN>+!Ko- zR3tEnMTyXNXZI+K8*Yv2lb%d?fK;?3a7se9V_wdM^Lz|kAmUAeN|hXq+0c%dunIm> zW;RmTzI(9qYQ9S`M>UThIptQZ%=n4C6H#F40o@wLg#I8!5X7@q-Z5Da z>#6Ybl^!netb_{b;LY2YpD|9Fo%;Ry>ty_bYx*nu7dU0F#!`js`X}9#NAP4YxKp7B zX7&XXAV-=V3e#LR{cF_;z+?o{q`*Qls^!Oitt@Jv-45KIZcigN!2Ps(y3FcTV&Yf3 z(f_x5Ol%UH9v(tlKx}mSHiJld4$6J}H*Gpe$`;*<%p?2usEI@RojX>Y7lB4>3c6F{VO5XnGz%<%oc2#sTnCW)5#~ zL57I0K0_I&6tutO{mzSBrHZ8B87T`(x_`@3#034}e;2z`iOrv4`7HOu3ae$}me)~p z6ogVX@hS#_;Q0N@eiV{2=CQmGjamA6!XK%<6~YIVdbr8J_iVw{^$wLz``N&|490^& ze2O$fGX@(%k)8t3##!}N7^O1UZ*E{*hf8`>qfd&APK`ieHzhL0LyW=+g>rF?<_{!z z|Nb;(Lih6zupL;cc5UBYBrPFSpZ)sxpD3GJwB}+Xvtu$5idP{EI|e+iCx^hdftHhzouy4U>GfK4c^uU@wru%u5=^bD zR14+$2)7_PghIwbLU#WKWXwHd+6$EPsGbO;J{d>Ytith_%jDMf17>_lDHW#@$Clzy z1~m@r>F!+V)wEW~59VZ6amr+zQauO)@lMK23a9(vzO&3VV4DdI#nxKk(Nz)LV{MX+ zV)VnwwCCGT;Jp+3xhPAQWhwkF2)^bekHaqsOoty3YyFh|aoS4ueU4ZdsN;m2mw7dm zAP*MwY4xG9(zoc$ZbtjsSX(lI%&VNi}Fc-&* z|7NtX*MtUcr^3U-M+8ZmmGrkTl>%`51>#M7acjm5=NT1#XY0$VzYSde!pXB}K#;}{ z5&|Q3y=6n1ixRf#5P|FECVX&-{Rh{kx2aCokcNXrm5|?jLh%ISg5G=7ZQu7cIzw;V z@_m-lFs2O_B!+P=q#|QfqgigszKhG)xr(BU)HD8ySrgckwp4BcqD6fmJmF>$AgWzc zHv58>WC(E&5tSU)@1xfq8Y%* z;oZB{R~Tl6-{4yY7OR25NSiqlz8DOyVY!_xgC^b~_Dg%AN>Lg`Tz0hA;;4I9u`UNrR_ zw`3^Zy+fFihB7GK_v-0|5Kqc%z=pWY7IAgA*w18+g8lXDj*{_(R($;pD(=3mjWE9cQ7J|UB#^veAcOJ2I-Mz|eezNx)iIaOV9oWGCAiPS2#@HgS{M9hY_pnCVov`fI3ih7UDZzz|^!mm1 zM7cO!M^`r^Iew3pcXeq3he=Z6?tb~+)m>cVHUuhy2%wAF619AuD^La`GNMF&3n-OH zaTnln0^W%ZmYKq-Q&o#NiK>LB2vuB{Ge#ek@eTx(;{+I?;vwhS;j8B4xCU_>H2|Yieqkd_el7N$AkgJ8<>q z2n;kK&!8z)zPqn2K4a7i*0}m97UDEk*NmP`s@ET7%#=r$BEYR`N0$Kr+*b?)mgf$ z0FC!hc*~N*brtEE3_PK2L0*VNy@+s;x03Y=Nk~YbkQ&OYHpVA7@O0Lc7+MjKUNHgn z7h$^%66&xo+k3Yby%g78jTCKpmDlB8!ySchp)+KP$MPK&qJ#q3snZAonT;NK!L6`~ zWoB*b)~nZ#R;(e8{U!t~x{p1-|5Q4MH=1%JGc&U!$onf(=MJ-{F6a%aUxJKju}u{3 zw5Wom?xSW}`hF#S4~v}>4{>nb(pzws5K>yKleiTb%3KASa-mnX=Fgz+quy^eQ!J5I zLwP48Io+THh6Uq-$bzO4XN`0vVL_Xe8!b|%BK3K_^sSWHY54C?F|?6({iBn-k&b&S zg>35Dsnu%S`9o;NVSb7&KU1!;u(8SRRthI9^9qofWh`4;jO==A@5Epv!1(-ajF&i{ zRn1asXzQqt;&4hQd5RNzzwHKC&5>r67WLPWDzcl`ue5}E%!WfaiEtDn-3&9Zs-64c z(Mwq7*!S4=Ytk;uXdu^`HJ@x|)Xfb{dY)*I_VmFAH$k|-P#J${*fAP}&GaD9@ynuB ziud!$*^K*30!P^~EkiaboZF?vZO~T8rZ48)5gJm2dvKjFK;VCoZ1B!rU-v{Kj5m@y z4P@rGPwlq_%7n@qX{wBxbM0rT0U6VeAv=qYX@Lc9Hy5CIilRZg`q>W2l4Es95l~I5 zrZ0Oe^fmRe5acB#ADtwU!T-y+I~CKG-vn+})ZU;j003}|@AUiAHh|+r-lfC@sy~Mhq$u-krB?u9>(pyi;hN7FBuG3=(O4%#1^7N-BYC-^UQ&tPmexjS zFK6*9Xe2K6$Yaj)gj+5Gg~KW2Zz?2A~9kA;p78b`lY zRmmL2Vgv)|me9~&{05L;;+H-$EQvmi!P%n9x#unR0w#`?^Tx_k`t6i#U(`T89Tv-f zxyACv#7i)mZw{<^A~p00(CUddp8?gP;R)oEcBKUq(oE&kQ@fpj(38Ca0um>*{2*kh zUtNCk3=CzK7-?EQIFC_pRaVALq+DTjyw@fPK6iD5Z14JZ=Fb$bX6nv*2xrC#kb5ko#HHep z@&D*ajGK0q@0EA8S#}DRoVU{2is@3O;Xg~%lEF_x|ItYl{hA4(oZ+WGxz41HlpiI3 zo-yumnxiP%#VH^+7pS<*V73VOu)S;SY!!8dfD{|`3(}1Lx;E+bII2!NBw{XWF@>I7 zInGwz->*eI%4)$xG{nzyq_7JIo$LM6kxGFnZD(c^Q*htMRR}=|*PaG5;lyTjS z0F(OT#*LHdvjVu!-9h8l-g4|ycA{{xpKp(lIYDH&g9cJ^FSqa}_^ zee-Qi_R*G#1cgijbzpPrRTUl)2Iu?ufCut6HESnRN`WXAgm}3xDQZrm?W_lQ1P4~Q z+&D!bX{l9@ho;q6v{cdovP1EUNeqxFJ`5pM z!RZjHsrHFG98O{Zf~?sHNk7ZPiGx9|CCg~v=&lqEm@ya*?K`QRrhOWk9&!}tYfiHN zBfQkKk^#BJSYJQIO6COEB#=@87v9tlQG89hgR>El!mvMz#pizZ9P_klanD=1bwv;htS9#(RL5Z7B-bD0l1(>QAcW{QfOB{-n6@ zjah#2v#vB0RTdm_!R7Mdx#_{(^W|b5A^Iu8tDx}@gsMlJ?auMJ*e;1WE@f zit+rW$7Vww*@%kTy}NIE5;f&wlxbBs0l)n1y$LeOoM9JW^mFW>fc<_gu5(8waY-6Y zdD^)L#tf*5EfU8!m7}!3$RQVjE;3QJw4&n?xZ(&b<|n)kTELlO_z@K+Q0yU$U1}_c zKqW(}q#R-4As?BzDX)Tv&R_L2b8`6^mf7}RiIH`VEt2}6o zq1<9305`jIUOCr1^oQ)UPfPdi&)#M|CdQS?9Ueotp|9lAZi0k0tE{a=in`07d+BKk zdC~absyidAqq*fmSNG++7-+#_X0zL}Z*BSCD_+Vm_3O*{RfU;0iee`h&9|L1Zp8WW zjlIJcUv(E7p4d^O4+*Wi{V%_`6;_CD@?)@Nz3-8N?RK*O{}oJik}x7~COQ?%r>=JU z`LkzVP{Cv&Wfto{Oa%FqOgNBzv3^{4QCMrLjUMUlJd zj^d1!VnUNWvE=G3oOg|H@;B>|GulXen0&8X87;TP`?r6KmLER z8ET!qDmDAAEU5GSo-`r4Rf&d$_PPJj-gieueXd)NEf_I2La?A{01**UkQPN0R2+;D zAvCE5#X=XUA|TO_LeUYi&@^H}nu-j)*anr3(%T?P5y3&ENxSZRA-r-&5r?v^4UAr{$Z&7VC)olyT z_6`;94RE__dpDp)F;~4`Ioh_e_#OUJc==NPs9UGoaAEQB#`gmU+YVfgY|CmA!;s`1 zocG_FHUHl~{%=73KV1|SD^)h=J-B-Iv>HFU!c+Q%UtAC@(*J$dUcVYUC6Rs!hRVvM zQklHUlBss1FZ)ZT+4Wmx+F!}`vH!R)H6g*re0{*we%tp0R<@gt=USS!s8&_>y9-5p z8g0C7AL$uv-jgNFOTV*Gz%*pw*AHw= zZb-}PvuZ2(vF(W3L9zalq8+B0qd)a~wAIyK{5|rVi%rfHrN38~>RhcE8;^}-7k{+9 zW^EdhS``pEetn~|z!Ke@1|NI2>u))3QL{}?R4*=QtbfOrZBJKKZ1Nwl?L1xVlN&tx zGpopVdbh1@n}}H+yML^#?%ktq@5qivjrF3wB@W4RGe>JL-j`{$?R@6aT5nfWU?J8& z>q)D3!;7T+Hrvkh)QtjCQG($m;gPx7kv}Qt54*mtkGPmr6kRu}{JPNF@g!TRB!O4= z&GhN2jY)Mr2i;nK$@9S%FO2xu2e!R*X@2B#XMtXSx7m9wod>7YrZ7CMuk*9Sn5;pm zg4OFZ*5%LlnUcCrW5QYU+cvXxcH+>CdjGV4m8n>z8mEf&Tz!ZtpX zA%AG>(i%70fFQHaJA#77ibL5@K|_t z@+OfZYSXRjH1jn5HO0Tp`SL}^vX&&%756>}Iw^d;^}e2b1FQIvsr7$yCobqDvrbZU zApAW4W53D!ILUknIB#_dLcjC9zBsLntdnv9R(Q&^El!6d9!%c8bMTenpSb8Ozr2Zy za=X0kg%>u9oSA#dV&Zu$TVz%&tXno!=f^>Q(16be<@FyrCpFGFd*0IT_nFxf-yC~v zYUGc>^<4gO@|y~df)A?u=iL!k*}$57cE9lwQ?|zbHzH0#lkdo|>-~fOj`8!nCm#Ha zvi`#!Q#Z+lGP#VeuX9E$^_BLzhjN388WV%gnAL4Ki|*qi{on7y5Xltg-)Cgj$%)ry zbQ@I1<;~3HihO-=Ui?G;UvCci`iKv$wN<*yy5^Y-&4}JUIpKK;kMw08;ICc2{&kvb z`bL_^!9Z^5&dGJa$U2qDzjxNMulH_zwlpr!cxXn_4&KBP@*7Z)6m_rBUT5g@K<4X9 za*vzcT@c6G_4j5@ zt}DOO*XX^S3ZCx_k$ERQF=>9Lr>@E5V(3yg>|$_MubcRM*vo>0zaxuo%}c}Lgw?wYKA8# zpElBLk(bHzj4Z7yXZFYBFWS0r;vv#f(#83A6MOviZVu+%v$EG<4w7d+nEaw^+QyIf zmXG+C6zmKUXYg}z_}!H=9;^8uTUrTEUNq`WM`?jSPtfP|Jbq1&t}(DWzO>-SJHKcN z%wq2FikMF#o}YiJR=wly`t6O#h^Wlu-BzWUuAs|K-8OS#T(3>?34B{+`Iq1>pB!C3 z^&U3=9h~%bc!^G#c(uHPp0@1=whqpCJuNP8;?Hw9b(%CeR~TQ1tFhQfL++ovhfxf! zAf`8P`NZ=w9Gh()TzLFkF7Nu+Ip=+ov(U=~KAOXp$@fhY9y-duRob5a{sdP_hcrKb zyy)u_oPH8LaW}dDyqkM(K7Vkz&hgVH<}B@8?jIIEoU+`qV#U|bSh)e8Kl_jAeZAzW zk=rTDJXt@3$YWF;EZ~WuW#$Q;^T93t9`nREjo)joOjHdm@~f_4~!bIl|q^VYKM7Rgiewdi1K_&kr|8Lj4`;uy)iAu!LFfn0_ zXgt9G_#gAFl){Tnt9`v@o-khRe|(w$xb=LqY9YoM^^T4Xlyaje1qBSj^ZoL%z`7C( z1*y^Ns7ikCF*~^?o|Qs1gQMWqo-`_yl z?(xz0zOFp(R%p<~g1Jj+V`^4Inv`f>lqp#J&Dbk2Hz(&|*RK^MRb?$3VX&hF+1ZETL96hnAG((9+1Akv+L zMMkp!2I^8B=-%j7R>Lsa)Z=AekmlU7!FSA?Sq@tK_o9VbH=MrHeR)h<`)|^epwW`j ziTLH{(R-*xU5BFkE#$L^aw%9mows?4O>&J{^*IJN0_YDau#(Jf(eUrT|E>tVHKcW= znyi6wYzNP&92}Y7Qg;Kx#urjWVPR;Qz#ZN;^Ii0te+eADetlW%D1dnc4nqmi?20qv znTxA^0Y)i~x`VJ_Oyx1IC=nlqBpsnP8}_ zn3!k4+O-`I1k&XYBqN^}7T)*t1$2dUfiz6h0y8^50Xal%+z4Qvx*NH2g1`e<@WysF z*Cxs%n|%OvA+PTAw*5nYhVldxU;T9%%O{msh5!!K*uMZ4hU6@kFJIo&!f5=HC&-gO zeE2YF(<8qx!KAD)>Sc*oT_p4d)ZK>7FQZWa!{qfU7VnbFj-e(TEbxnBeMefvGSIJ# z6ej_)1rETK6@#MBA%Gk}(=&UZJIAL$-!&U$1?rrz@*ESBOYJ@TN;T(7qfw9VNKXK9 ziC@3o&n!n}?&D)2-L%&u+~`dPRctD019bHgNq))sJ`WT(?Rh~6S0UX^S22S-S)}4l zDO+F-Nw9)u2HcRR`{kv9HV0wU_oHa`>L%&qyg}U`~hKzFw}BPT68D}yvh)oo^^7OpV81@ zOGps_eysp0^nx6 z5)wL>qkUI zb$?XhiJ?fXc!Z$Qs@=JehffE7fL_4`Ls*1Ib-6u`h2esfdm&vM(7a0}==gB02rPjh z)k5GWn%brsr)4GrZglwLc&%;HC8(mFy;g)xRfK|(lGgU^m)>W--`tC0aqo%Eel_pL zGT7*DwZ5iN8NcgsUvBoWK{4{urNcg$KmJVs6A4H0;o`L-fW?9aq#;ML-ZJBubW__j zk861k=QJ@?iucQR06iBLnz9&}$gQfiBy0&rYp4Y2XQR&K?j_opFed;z4v2@gL%jex z^BHjWQE$4L&sc-SjRm|R$Dj{IjaoBl)NsBdHV!KWC34^#DmuOx6F?J5K3!N^kCaT; zb_nsd?FK@d+QgobK*_hEbs_5*7z=Tzp0HxDj4k5M#=&&#WC0NYeB&+AfeR2zK-U!3 zJ;O|I5a)IJa-nueW>&9qxRn$~4)vDrlA{LQ9B-7kn_n)>E5ee7NdTHD-#Yzuz|FT_uq~_@0PqL{$gU$a6oH9|Pk%ZfV58cc<(`R&jz0h`4m8BB z=bz?Pevq7T#Mfwn~O#2j{rO z!A>{qVt&a_t-sn@sSY(BKC0qgj#)BLJ~ugx`1H&~(A)Sjn6Na-36-;KRN0Kecaai6;_Jp%-Rt|#C~r^HtxhbQmY}w#@iBKC zuC?}959Xu8P2-gW*24b}$Y;cRzU`~MTw_-WQ6;iRgyjGvtjOImuLy$!7#CR;f+6F4 zZ>z1ebFF#hKazRU(dE8_B+0L02?<3((fjI{g1kI6?cf8-UCiz4VwgfL9vId+eRHc{ zb!W`^%wN4l>LQN5!={P$p0a<$VVl}}LQsojS%}J)<{-{p-JRG0IkAOR3v59LqMlr- z_WSq8kfLzE)PBof zyrA;%iGc?9nj8~XP=#*;s6zXx$aV=M_`}Q2lqW#qQ+1eWQn%C)y6hdB{pvk3Zny}E zi8-2utOO*wj&16vxT`_iWPH3N$hBdw`dVdJ&^tpOrojAN1HBA8e`CG6)jye?wR>V? zV~NlhST}bQ&u`aofN#%!bJ$lVln>5HQ0q3FNx3ghFg%^zcQ=hJ%7+;zj}L$^T~Ioe zx^de7O}!InS{vA+yaUL~h%mLaS)nP>j#gIPg31Z0=6B;uk8%KEHpupJrS4BSyh6cs z>9ZRE6RaIO%m@&5mxfm}p8g~Cw)W@>FLJb?&ZTx8Yv;`&bdH`+@R_{;bOYQU(b@m! z7KcqkUN|UXu`X9BDjL9$y&zQQF|jQcn@nD$(=lk_`9`><)(XR&h8J%sU(emR##KhT z#Iet`${tRs=BU)lm5cL(&7?MfPlX6z&H#VExVhV2-;QY@jLm)tD6R)1AK?oNJC_>zF9dO|RyrND*9ObFamRZ*mWvS0HNduuH3uw1f z>z4i~;276Y9|)Zy#2jZN$om=}X;U|^RrmhKb@Yuv=1{C@ryHuy&yusR2gQw>=jFm+ zEJY7sJA!w!NL`G2!L99FGWHA}C3^iOn5DD2<}|x?Cm!xBQ6Uf%$Re?TcX;(Y5di{F zoM}?EG#so~>T8cUe0wJ}#0ynHUU1&I2)&|W|;8{qgMR|N;{D3(S-F4F*X=j{GkTcswy9ox21t1s$bT4<9D zJkr|_wiVpUHd)umvuCeToCQcSVp@Y-pV5d2*^$$!FYl{i=a3*j5SlBcJ2R|F#|7u5 zV7;<;c%PC63`}~Zwa?rB*0J8-hLn`+R$qg4t?Iv6WJ6t#5WB?oBx4u11H~lwORnGR zOBu_61P1lFrhDG9=I+bvu|RR~Jcv6#R1Np$ZH1Ag0X$<#Cg91`Y(aGKG~NuDodBE- zyFn9``$a5FatQa84=+mhIsO_{0**6ON|*BeZGvt|P(z*?e>q#=w5njC6(KTw0FiHZ zeL5%g7FV6dCFxNaBoEAz3VJ9u!UJ5obg32{#2#7axqIv~FNsjq$KpJYsrmYu>5 zdI7h9C|Atqd!MWWR!|M7=b>()JFVRr7HCZgXr`>Rt>6Kz#1}KaKb2`)oAC#{_XKcV zGVReQ;wE6S)K<7eh3k$aC-29w@k=dq3D$DK_1t>bfip$-z%>a{ukQ zYzCNmz$XDaW&W^|dd7OntOO*;54j)UbO8*n8X`y}j&&=H$-tZPy zHmN-83YQMc*%i9#D*Q4@DXEQ{zOgD2a<$KvJgBFq2gNWkoi}}sj63-auGwJKVepvc zcs>Y`zcQ<{{0!d-lTfs;{grrMnk|eUqC67VZ1||u0GL{&g!T!H0f$B2iFcpC_%W9T zr9-884yHJU%hd+zTYeb_XvYw+Y_zG5>gr)fz;SEMVjP6Wnn1c1B)-z~B1|Kw zJC-50Tp1h&Vz|KWu=s#G9Lk=XThYxlG*sBiDM;dVK&E9}f_e+Oo)spmMLXwN-u)oR z`>}F7xgJ!B1~&xwp!{8sAm0*^{+y6KK)SY6e+oHfT3%irIQ}dQs`kz68Mg3Pk;qy! zY&nj@IGwEq-zL!_d$n|@rtETc1fqUYp7(Cd6;-){5nlM93R**PPyh|%3hEFG?e6x2 z4z4oKjQ0UDwLM^bTx{MvE3<7r6x?1|U{`}ioX+6sS$~;&(+KqYK&*faA>y4w*mIbA zLEQ>Pt~A_FENW}XA*7S;nJd4uS$Xc6hiqHZ?2+%9MY!9E9k9lLNdM;%A|^NBWIq(o zB@DQ}H878lRV<*H2D{ZjE#)_iJ#7o|czr?Y?N3N-;JiV67({xyUF;N#t=8`^yKk|8 z9RfGC43O6kBPI75b^u`&7=8Dx;862lRY#bVV}Sg!ReX6iP8VX~fB?NdS|LCkZKwX7 zU!S-)<@w;zf+B+BgU+(^XpRGV-tS?WWJ-b0^Ux-|u<&QX&goT(a6Fm<{o&@_ynda) zf?y1tlOVwWFwCB^%Nb6RSo!cZM7^5o0px61PfC+`D&xM>-o1})U4gljAiY4&@N82` zQNDcnE7O}ZWn2?k+_S*YL25vsMZI9CON(kP;PX4ErLY8;b+_PR>jdpVs~>U~Sk$-^ zvv*u++8sp5M07YCnv$>w=U>F)&lxp6WM+iF|6YPgd<>w}E?q0aNlJaXm?n;fkZ9@r zsN(lJJ>#2APxKW>kxY3DZ6?QTt~y9fAcUcq-tU zj=-3Jp`ReBA1G+7b4mWm;L1N!kdLrM8iExg73HA;U8$#Tz5uWz__DE6<|k4i`2x|D zR9Fk@hl|9pCr3FG#=u~$N8r>RN<<2Xd0(O4GkTR4Rlw2zN(e__vmpu54rKnXM~>VE zsC)yQ`v%|f(e9rP3{KIlaCIQDEqIz=lE16CiykzkXWmG4Y;y3v1Ydq9#=#I_Z*PPV z$!w#&#MEdpZzG((fwoy2Kxw9ZWcV0}$rr{AA3y}8=H7+<)i5BpkY{GSvsCDTGf;|T zn#6$_x%lO;V55=>9)gu4@IhHI*i=LkBl+{XV&Snz=B`WOJR!xlXrp%)yaHq`_C)nU z>F5O(O9#v4_wl0xovseVV74Ak$2lskqLOyy=Criz8zQoMV@Q0JMJlC~K=Eq78bE>` zN)Y-zsBzO{T>s$6maIV$g#SuX_XZrWsP8Tg|91Y)Go|yNMYjeNqZ2 z6H*(?i6IJ~<&B5z95gOKxIZ(8dja8q93hK|TLvg8fyk*1mpP{JkqFxnWZp`(~{pX~OPv17+RU3whA0r(GcJA7oP}X7A z@yn@!s3OFnltlfp!Nhvi-$Tvp+MhgY`-4dNEl;27Z3gyzdyhn(OX=rvC!U7h}a&6sQ}k$&AV6{D5rV8d?@~w z6&E+3$RKTjOGP$JJxE7m&&S}rr!+QP1k`9sahl%%l}-ksG{UYbK$VGYPhCb%dw(;w z57#}d#;>&L{7C9B4947WsB@0>MvpH{g(rEN`i&wuD=1S!fB=?u8K?`P2+xr&c#F+k z3G2vxCjBTFrJD|r5x$^{4AY?7fFF-ixHv&v>TyFraI{!*R2byTHqv6o;hWf#Onqpm zEVW7AlKzCJbc+AK+!d7V2irWT4voi3(I};()cP9gTCw_4E&a&72gwTY7t#2m&ufdj z0tZ3`C|HtA=vI^>B^2p3g8!xz5Yr@%16z6xB)->&+&{MOA=M&s>52A_5Sz|ZWWA~2 zM+8%_55lc+kZp$*4wIl`m3~8FpolAEBqg^42d@W@@FS=twm3QGq<%MR)^nv|8f<)n zJ_6O@7X)oo*`T2zfpYBSh))gGEEE`NFJi}0VGJkg`KYKwu%T9=H2^HPJ`(pwN9G_7 zp`HOY!zS2Ps4K2zVgXRYVwaJeD34d)Qg7#OZxp9uvDXgcj${tx6%-8Eb|ysqB0)8H z8{hy~_1;xhmkUwrzX)O8D~L@GR47dRZBt8a*3aniEFNfd_E$E!=P+jMoNGX z@og6oyD9rGla?`-L388abp>T?2!4>{4&wcbEj>ixLJm0vWD*jOMHU@|h9Z|>c46d3 zBN$9Fv@Z4TNK_Nzp1MJh_zHznkl`9yoIf8|qX-y|&~4EHBqyYyoB~e~k#!2PCmR}^ z^Ot(|t3t7k2;qwsE#j2u>FcM!W9q6&)*{cJ(kRGeJi6XSd%$DbLq0f%=LdfbI%*AR zPEQ zwM8eW|AXDv7H5xUwbaX%JWCdA!M737`X$QQ55a$6%G{?VT6T+ zgskfw;FhB*c?-o;z^MedCf3UK;E5yw-95UQgXhGT(hqfU2EVo}vz84w`8nIpQ2 znbF0r6OAgMY8d##T}`=`dX;}?V|h|@7wWx3N;B|jDDOrs?%+;=UB9UTSxdKJGY~mp z;eLxSMFN_daZ^c}h-9!{i0z2oiAbn*;}&98WC=Ha-v4>1z}`zJKMXPCUBlyG3!J06vxAnP@1NqRf`mJ z<;)y9d*ErlF@6A{t8YoV9A_Xk-=T(zB)-zzq=~^sX3?%b3RVqUJK|aclD7z()R(IJ znAs$oP<`lO62dd$36_sPlOPCO?U-gd__UgQ;oomy7_B6B|m8 z;J`%NQxawXFDu+`fR+^b85m`f1*L=?LOq=l613sjOq_f?0R&MB!I~NxMBcs7cLIul zqy^3C!bWJDiC*lWmwm!`QI?Xa2jVk3zeXMmdMaa(UMd)Zq`tg;$Bv&G+~6xymp(}* zs&}N@QIxO**6B70XCl*gR)W-*ur7~A%QA@hZx}k>6H}rXWj+kVI3jQn7K( z)oZen+M%U_a#>dO#a*7#5T#q@JK~% zFaLi1Jp$XeDODEwh~&H21=z|+V+Pe#n(Afzom^6IEoAd;gmX+2nKDEgcI-H$QWC3r z?pYXI3=3;*KSl>x^aDk{`;j-zA+t-V1zi-F$V}Btz3Z<6+OxA6)a?S6>7x!I9`RRD zPz7=z=dbO?(Y!QD)4?8srr4-&77`(;# z=mFxww$)L61-)O6YX(*lb^2wNQ!(tmDpH+Mqe#BOEr7a?)RQzj0z1PYP_i0T z#5XRqSw^OOvFkfQObfcQ8Z0%!f9Qu`y9@-$PKTU-A6VJiEaV03?%$1HQ&0q>Nc>8s z9?Hqdr#EyXkuKCSh}iXM@+j#q6M6`N5!pJ?#p0@}Cg6}NJ0QkYtLi5YI=ErJkLqxi zacV5ICD7LS)dyADEn|K>KJa%Fb%PxLRFxZ8M;T}2s#{B~bB9`&K*Qx_ni?#ob!Q%e zUOIJHeB~FDWR8P6ykk%X*E^`A;ylMPA`!E1KnB5a@bt|Q$Y!R$-x}a=& zGoSE*XHI{4Vxk68{$8R31z@sp`n3e$_fq6HU}80ykS zlYB>a!QUt@GlHBD)wWNq!@yO*0=@tH#q$>^Cf!0rr>keUvm)2m7k-PHRwfJp8sBc! z-o5+01k7cLadX%O5LcJf$!M1Y++qL6UU-iBaQ;FgBJ4&A*NR3dumbD*K1#n7C4(~UPo#hNB{XRy zE(Z@QuxpN{rX~gK)UZ=QO7<{z5RD?jctS-{pDSf$A|i3!KVen5CDnA#H+07fcpq zXNVYlVE_I@kWiab)DfiISPGYo_An4Bx6nb4ql&`k!Zth4U`H5n$N?zkZ=#V=3H~zq zYhd-T^7g=qB5_fY`4bn{Bz``OjQ!>t$V`);;Wf~mke3$`?lE0JfQntz+5#n#{Yv4$ z7p=vc$!OJOc4zFOmQP12<2ydM6zqoW>_b`vDx?`~V$ zb9Yt69e5LxKo&RNgrg+~j+ST_A^A|>!WfneM#3FXu5-k5 zfEK!J2GEd7S{6P-2ap6>Tjc^x$V7^e5Mrsg7SlW56XzeWei~3BP{uxDQsopWA%Z=U z7#`e9eJIF~CJiQ-8nTd4ygMUW4PF98eps+_lxKw*D1$&lD2w$kvV4RRqtq~T2@aXb z6~1uD9d)B{4i*V{z|k0z55vaA4hPf%7CsCX{$_i7yLVC9f;F3AXFlPCyN_xBDKKL; z=v$C)AZL<#-jnYDd6*y`34bX)N`fy$x_NEFG#>0&>-7KBC>FdNNa=y z@b=4J`W1~*DKQU2Tq+*2={JRH+8o>nMskha+ILJEn$JIpc}C=keE#`g&wS8r{~z3R ZOsqV5OU7J7tsuG}bGy#AL=7wd{{rvmm?Z!J literal 0 HcmV?d00001 From 8d52c09ba54faecad3f279b425bf414925efc926 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:43:16 +0300 Subject: [PATCH 66/98] Update student.ipynb --- student.ipynb | 41 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 41 insertions(+) diff --git a/student.ipynb b/student.ipynb index f5a231e6..55fed340 100644 --- a/student.ipynb +++ b/student.ipynb @@ -6440,6 +6440,47 @@ "# Show the plot\n", "plt.show()" ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [], + "source": [ + "most_correlated_feature = 'grade'" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Create scatter plot\n", + "fig, ax = plt.subplots()\n", + "\n", + "ax.scatter(X_train[most_correlated_feature], y_train, alpha=0.3)\n", + "ax.set_xlabel(most_correlated_feature)\n", + "ax.set_ylabel(\"listing price\")\n", + "ax.set_title(\"Most Correlated Feature vs. Listing Price\")\n", + "\n", + "# Save the plot as PNG\n", + "plt.savefig(\"scatter_plot.png\")\n", + "\n", + "# Show the plot\n", + "plt.show()\n" + ] } ], "metadata": { From f5cff43727c476f58c828ad68d23ccaa7a2764e8 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:43:19 +0300 Subject: [PATCH 67/98] Create scatter_plot.png --- scatter_plot.png | Bin 0 -> 53074 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 scatter_plot.png diff --git a/scatter_plot.png b/scatter_plot.png new file mode 100644 index 0000000000000000000000000000000000000000..14d60b8f522136ddc13abf55d14acc17dc46d013 GIT binary patch literal 53074 zcma&Oby(Ex_boh#g0y0QN*Sa`NvDDch?IbUbSWd<9Tq4kpdctID4-xM-5??&Ejffr zGjtF6?i-)?cdqw6f1LBZu6ds43(RNk*!SLRueI)Zrmm_$MShwbgTYWKDPFsU!5j#{ zV2FMnCV`&_wGWKKzr|JcIW-M-&PR>|+yURSHJbc_N zRxU0M&f>hhw*T`7JoZlac!hEcGT5jU1cGrghFHr7Lg-6X{V^M>;pGx$*-nUt3)7YVs@ujfiyMHL(kdn_@7jtz_h zo)hu$a}vJ;h&OP3DxyM|Gk}=f*zwYgWptADk~G1cP15nCdwp^ zgvlht+LeA{$&OV`E7_VWBlJ}5%Ab2V>AGd;KKR-?yCTZAXt0o_%AZ5O#EDfiP4$pT ztJM0a@!n<++m_*c#X6JB&XgMV{{6q-&e)GWKBn4hQI#P>zRJYl^!@DTI|cV2;r^_) z^4gTP=Fl53$`E6W{dZPLs=D9aOK9AhucE2Gm|b4`QRBUEsW0Q|82yY#!fJr|7eFtIJ3Ob#jD_!}ZJy-E@x-AffP^Njywh{l~e{Sy=A z3$+xnSyyAfccdu4mGSqxYV6$jiuGoqbbN|(^!R+nr%$FZbcbE2@&$?pl?$SHAp_$b{tx zOGKkd3|s!)=D!~zRHr+aPx2UiuYE!x;)pM|uMa-qGw(h8zNF+-z{~RrPODuymtCi| zw6tgQc65w=>v{baDJnPqQr!ANW%tpS3SN~WYEM;6HABy> zbk)-tOMdW9-AqnR4P0)K$nKfVs@%NK11sZ`J<}{Q{IjTP$2L7ZU3hXm!J(EcRwe9y z4~Hp+(V?1%fa9&)FiT8aA8>9Z`n|r@=Y`Lt7|Kej&g15RkM~(9s-u=zfM^PmqmlZ8 z`%Pnlvn?8fIG~f5$sxwPy%}h{{g+NRO2}mPr0n6dBsUx#`P~Oy>DsN12UrL+!uCmh z&s++;N`+xpjr;yVDI#Exns{BFM^|$4-J>N5SLNm3k7&k&h;H1tv4J<(BI$B!O3a*_v&pSa)+vZ!gGof7X-J*FW>%NV01T-4xd+YcD@Xmpvq&mphvgV zg)=yr@9t0fQ1NMw7SWOCFFX`TTG$hPYLBT&*2IZ9>*n93Dzw$q(`ziMT)h-3wWhlU z&y%ib5gGQWyWA>SH&EiNSLq{`nVHEEEDMv4U{m=UKurC6G(v68$+R!A)uCZ$5LX+O zz=n4>c(ah7xbqyMJgjPWHCuA&`}wbC{DCygEk@q6^<&Y-s*a9}Y@Su6&i&Z5v58~D zu04i6Te#sl$1RZ|k4MX`GRy%G6p7yR6-AvR%j3->jqHh|k7%Ud6&9Yv6>?s>)I1*s z1Am#EoJ?gme+A!kE?mWzX{y!Hb(b)a??Z56@>#e#S_qn6H4%1(~~BQ z9)m4?)H-3lvG8Xmw}AuiRb?^Ea?p>yLLIYJ?*3WJEN6&fd!ET~gA666c8}|Gjnp?WO3dnPs1E zREssF%sF1G_c6!i{}hje;@7PW-1;ozoLj_fs&>{44@AYmTb#PIbzJrOurX}5wzfVy zt38qn)x>drn^R~26(r|TenzpMiapS`KKnvsXwpsA&bY{Tt?wRT*4|%PUtd3M>&%%m zSR0$siuIw91n;>&YW|zYyk~M1TJ3*$eb&nlY~m?MND->30Ze9Y~r)w2(LT9hmU)=mn{!@&pR&G)46;4 z!zsClUMN>MK=9jX>5HV?WUI^eTg|WwvbmjQ(D>u^MbFKtG%-kT#bZ(Wr3YojQn5~h zu04yr=3%acZCN+gofsi&kFD7vLe<`u%r2~14$iLZ#P)n2J%p%v8o^RInkS{AA|6#+ z!WQ|e-|8s5x0y7cRc6m8o5;lOhw5C3SfQ;mi~!<4%*9jH*H>zFbrl`j?J-{eKQ#Uu z#H5Ta>Q%UDc_Xo~QM8BK<04gOU*B*o^{;t&h+8)&fRxE2Kw_@gyn+snr*pGV4@&cC zojc9V&E;^u&VVIpyOs(c+%>1EHQQR%&`*B5o12xHL` zGVCzZB`7xw=mjI@_uX{isaWZ-GdADdCZGt2Kj|S`Sa%+>7-YkR^{TyiRO9no#4}oL z@m3I-iz5yBvxT^&E*<05($l@JgWC)9zdmV_kvyuX^n*#JCHi?un{>Fw6H|)@%oYtZ z$!h>C;C&%ago}IeZvD>yn7kTmie82^OPn(jD&YjR_P~nAfq8g%c|=u3 zvoLN2JLzutULou*ybJHUJ?K6>79_K6Dvh}a#VK5l+H|Hj_dhfU!NXDc{R1XJPvRc0zpu8zgb2b zc4x0!yrU1SDVa!!r78E7Hco4u`&%F42?rc7Qu*SyGw6(?8guR3OP*{v>pEj;;u}8F zYs3Ejg?)F=K-xkH0XFhyyaZj3E7s0#9QOF`x96t_3DvUxfm?XU;P=*M`V8k}R@&s2 z+4E&9jitokD3tsOJi|x%sK?0rg@u5UD8rl^&PBW#w)B7nZ@&ad$lg}fUM$V7k2JGp z>P^#*4@w(8mD|(JkSp)#>z4qK^qec1pck<-sOp~R; zL{(Wiiu(_g8n)LrUMgNF9(|?!M$Gwc(L@Yfo*!(PfybXGpLKK3F_*YAm>nvHX+4+;S_6174!CV@Wdk1A zjG!t4IR-sr+5S7$yN@KW9T(VCV!lH0Ut%6mieR%{IHA$NpuJPVHI<>u{f#x+;1vx6 zwbor~P;E#$^oO#V+3djL8!_><=A{faBk5CwYy2 zK0HLRu(h)@v<8)Y0$|WV7JAAhm}^!i1I_oj2=BR)AV{WEoq{FXOHH0ovbRp~?LoC@ zBK4P;{c;SphL@Fyw(k{JIn@k9 zT5i?57yo2;gXBJec=hGA7j#;=)~Q-pHk0 zKF+mU4|*Udt)46G3U8%-z0z!rJjY)9EYOiZ*?=lJkdn3rnP6l>W{+@v?C_xOix)5A zZ#6JNKZ751gEOq9t?dYPEU#61tL@jXuTT$u@|4YVqz$`5MH+on1r@=$$I#vNv>yrT zftDJU5CCznTxPr;%0PBSl4&BZiKofm4$`wEyfKewq7m(C;?B&yuOp6g<;$vW!@lkS zx96n``0uIHJs7f;J&m!b&_)zA1s@i5(w%_YLN^Zl_$a{&tg`L7-fWf81hXC|!49@%Y zaBe)B$wi3AMxDmV-pJ$6AsE__^v-&_0<)_pD!b6-R1tmr{CO0B6TYwkj!ewn&hTFI zdan#11cF$t7~_Pok6(MdPN%whev9JcBUKnBNLH}?n%IvD$&FxlWpGEm9+!U*kMA&GY z|1M$Bt@Qb+%Yn)~B^UOb-6`0e=qfO<-@Zk4D+khA@?ZVC`h_;9CKCPqc0JAr z+vuj5=SsK_IFbU7!OB2=*=uD|nzWCCj%ReW$Cxy)VSadbt%#?Fx%$+-xR;5gmU_3- z{w$+*hnX9)Z=(UkGc05PIz=+R4X%SchlDq4k4XiXe|v5k#OU@LvX|~WU(SeV`AUcK z6}R5HiRIPJQpTz`E#i3Y`}gm6m(5PLzZYBnd3jmKDokeAV|NtiXomy%VP$1C>2}LT zlwtfCd&0ZVpKT)Iw47fxTI{;%>FL!NSB-4B0kT>bEt&^7GNC`bd6L<0>S^_Z6fgxx= z;2gfAws>Q4L@(FuPy>VW%`n@k;xHTzx3w)o`FP%U-W%`xIecEnn8Bs(Ds!us9xTf1oeIu3_j|sB_LqZrv+DRk?A%KDI;Ob@@3xznS8tgHxeBE$79g z7=t?1bURlUOoTjSS6F8jik9dT;(+Ud`)RwC=?VS>N7WgZ=3>Kk)|mjCj;tIgWheH~ac@dx!B+ z&FYJfW2n6w05T4pF=%b_yjG`Gv%Aiy9SjI(B-sV@(k($L39UU~xqwQVy-G-{1RTVU zZZ=L0(h)Pp&47>g#q~bBve`E>{?fCvv#4o|gIm2hirMx6yOA1^1u}5idWK=l)RFfqQ8=bdoKzNFlrz1)_{7U2YS2Lr%d3l`{NKM zrba>VTYb_xG4kOOZ=G_HS2-rlXB7CdoeZvw?=_^H2<&3k?+!$WB zgFZT9o|Wg~Mf{T9WDBf)lz&SQv!AFSaW%Fxb*wDn-p@DfteBrvtWc#^IXQBztOy{W*U|IWbD(-VR}+!u4EsTT zmR${;^hg=xpX7KP%3fXBO+EylTI#!7x~X|AKh0JmHPdq{C3@5Mp>BoODhW-zh>%dO zMI$Y6QZ)eh^~yc?mnT|VTaOLUGwx*pBH@)$NaqFA1U(xiAi;0nzHL8q2dY!bXjXR3 zB2HqC!qObS>E^===a+dEUsBO56x=X^q7-_Ze6xCTC`)H50de?Y5D0%zK0MEU`o%5S7HWx^YA7X5e}b5Y(#)~u z_eI>}5(>_SI5~xoo%OaG4tLh~_h7>?h&f$=l1_mzFyfpqUAjateLir4%_7LzYxCUC zsW)2Ur(diU&qyd}YX=7hFLeo-RPJbWatpKYZcITZ*d!%#IjGK*>w6e(tg4 zB*K2oc3c&+4YF0nzPUh5@WIkWaqHDWN>XrkcCKvrn3Qx@CO8igrc^iT zf-%0o3St2LDa?l#+9Q-WqQwg3UPrf_uf9H}Fgw5gb2HD|<|CW{=ZMHbT=*|VF-GeO z`|tRb0{U;8E9>6Xmx)*`f*v@_=>Z-6WBouSw3q~u)HF{LM%QvLo#QF3wv!%ax*~0o zusUzWoZ0Nl7fB$~3FO~vo%=-`-Du$ff$0I&s06rpVJkg1;~D5730Wg^PMxbj2BAcZ zq=xwM>vrF_x)&e!X*vu=vy}7V+_rroZHz(nx}9iDH>tz*3~K#y9rJFEGVil2{BtI$ z7-%bF0M@+)Dkd7_fhy(NiQUN!_jn+ycclM}saEcY4LNTLq`9%U&O9rFDhpiSjMbp+ zv1bSA3|%zRo*0JvCL$8>>$78hkcRsJ%>dUk7NDv-Z_R6NFD8ugPy<4ZyRe1kIALJD z&jFbr9&UIrQX;|ohbEF91OTYrZHa4yR@wu|AMxfyl?$|zgwY6sPoi)9t3Q^&rPzE9 zJx}5*7FzM^{ZPbiTv~TQZs&FJ1meOWFTCHx#%$BCq)^Ed7$(QBM+aOwRf@B4SbEW- zP5067FMTV|P4{|t4Go3b;wt8JI|U_Fw&&*3zs;{ZPbLL9!Rv1+4+tef^OajX&@Zyh zSM5nhS^g>ILEr@_;2sio<~gMXF~g9Pm!_BF3PYuLRy4Cpr@2_p9Fc;CI`Z{vSFhns z@$v!3vKJ*@(;1;v=0Fa|a-Rq?r8fY0M)+<2^9?`Z;b!3Y5llNnyH!5)8$&JuM$fgv znbW(|(ah60`*20!@1zeOE)3W4!IFFnW3H;nUPT-t^S1nZjTT@vR6Q{gKd7)LZ`iX} zxK3!>egs6f;|O%56YvWor98al3$oIXIrr|zbmQY@9YlWuQ`rQs5L=uNv}NUxybu=v z@PnquHJ3ZYcxPH?208_)ab8BQatEe9UB=cEzJ!Fue)pfL>IMdJdklaCR?C74M#NZX zpV=%4Y9=TWM_l&VSlFJ99k_2&$G3Fx^j7HxaUOGyL2DE?Mk-38Nw3(!RQdojV8Cph zZ^6kqaJHPF#a}|y6PyIsn2$R@FSo9gRP5vecjkWjR$q8+_dY~(V>$AjrpW#0#cuv# z6E$(R-hnrSW4>LB2N$6EUYioj)%`rI^9~)R)<$}1AJIKRtG_7lulq#FEI(fKap_r| zvNKEWu5=%CZr>gc8#Ev*N%+;(<$6bN?$C}eFJ;}N+n6iBHtE-4$s7aj!@dSijjT5l zBuj9fw;6|9sb+I0dx>$lbD0CRg)g)}u4hz1$Mcp(6*P53phMY%SS;wAHP#d)-*@B~-qo<-;0=&wCh8}+=!Q>n2V zuo5qT%1ziqlpFTtJ#X(Vl66ThF3iCtz2-|zf8ocL(54Z1({~RBTuDo+F(7}N;4+Xp z!d0SUx^ER~uSy7JvIzwpzo$i`aAgtEJ+p3IvoYl|*{d00bb0-q5Y@2~^=#&n#R6vwvKb z@7JRWE28WI@v83Pi*6zfpNn>e7w3UWy`3!;3{~+SREWDpgKi^VkE#9iCz~uy$oBXv zs+tzbH`tgmz3?h@US7>}e4oCrT+Ou4MQsXdG3Q&gGak&Cr3}3)X?c5@-M_31lf#?% zCsb#rg3(+9k9eiS;b$};_rnXFc3EfOUmieg7lwLe55hIAbRjG5d)Gv*i z)kreT=6PsHxl_r!*Aldcwzb_Jat$l|gW7XbAG5MT_b0NqGY{?M-W6?aI9Q3sZz67_ zh^M^PO9Uw-0wqB?YOxQ)!(#~)7+|g!wk7kTjs3)!BURq;CADVUau#QE-2t`sb@sWA zc))e8H)sbOvy$+o`-+WGMGUk(l?_&9BNy6SgDfRl!f?IM#!(^P-FaGXX5dhB$amVz z9w@aAW!`3Ez2|2{vYN_cLg#UigZoE@B>fok)7RZ11x%{SH1TvJ+jyE`9h z>tT-;6pv^;^6c7XoPNegmyUhiAOFqHM8&jDLSmVBs~2u>YbIZ<(o2#1k z{msnx*Ur_TnkpwJ7e>UgvK=oT>9Hu8$B%Y>OyN1S58=ii`}U9jY0iEF*PlvTAPKJ* zE28fI=kVNy*p%q}d?C&bpPRM|83~csy@e{~=H^9YUEY67Fb=&rri6?>AY0k}yV{0_ zWRRjHGkm_QyZf8iL|mt>&MK(9Vo-}EEK}#-^h`qI{6LbY6T;OKOT%jx3p5NQG z-<@!Erg6JzQ=V(-D5x?5^q%>ykPKvXB$I(?STK~70Ww)cgsM2_@CoL_2a6$tl~UeI z0N#agLLVU)kQE(^*js@favFQBGwz=NBuqB;5c$|EWuC^w1=P;_0iWjH#||t%w0SOE z!u~+NuM^x|%725zeLan-CJsnt=!IKlV6Rly-Fv)yaJ%aS9~3Qw#QBm5Cg4$8c-VtM z>VQ8>tg8LxTA^Iq20D_!Fs{I5>K0G&?}t2FIRyo;LwHI*zH8K@u!O=BFTISk>(bdq z8!M~dwG_NR*8{@n`5&U$?0Gc!7K22z3whJcld8ed1B%B6@L>H@yHtHaZJwcXK=BRR z&VL6W-3VD|aCTYbTGCK9)zKH%#YV&B0&KDsve?Vbr;1z|oqzHZA{hX(TrX-6vj}?a zoMPo`$t)cQ4=m}_jsngO z=)9Ih7Ni{-`L1dMny&Wgs6Rw;5{Xe0I0?%ikvyv;3ZV?ok~xaAnxIMfjyewD^y#6t zRq1S9SySFaiq-}kwwu=07c*{W{)Gkq0FD4?B7-#EUr$Qsa&>k62`MhIfH6;J0t&uP z8iSwM>({ThK`{FLkbW{geV|5DO{yNw z=uLU~Lm*QlJ`?f)+uj|St-jXMmC%gzAM<|e5}-j-n&r|%_b!Z@IrKVz{kaJ!n~0wQ zwHPQFD=b#ep7)PQ2|R-UYp?so>L}1Ei2Fcwr(&%?qla@HK_*dDe{h5zkC;=)DO_hST{79!D^3tF+Mv4mT>;+mfkf)%{y}hA(nbesM4RwlG=PjEN0IfX8QV(tBV2gq%NWg@hdH>_u|DX2+DL?I~Y76Na#Py7Z8R3DbQXWoC$`}%YG8em#OurVO9 zB;$N^YD~hBAPPtzAGf9!Blrw7fpAEJiJ-9pDOOr81EWGD4`PM@AiQtqppjZR0zk}i zcX<v|} z=~oZ{JpTK?KKi^X7h_#F((&{ZL-Rr05Lh$LgIX=YD{|zp1MDX9bGUlWyn94F?Xs(q za*JTYfsYZeBu6t9o|J8gAToipfP6B$Ed6amRdIjnf{=)dw9F;Qgnafxl8}dTxI?C= z@3W~T?Dr$UnhlTO;~c-8LWfgwt=GI9=o&Y!) z4@yhLAJ(vxW{s52krdZ1Oy4GaiSUrbgAfAq$Y{bRXnoFp#%Z?^OBSws0IfQ5CM2@ zMn0EMX$hq@DX-BqKzwR~goJWWWAKTKpnfV|sC|0$d@rCXF_=&vWK#Iy-@j(y7D9p| z6aj*mZ#Y#ilgDo&uo`vy*foLH%yU9iOM47X02zC{3oYn^9P{PN)E9NKE--~1qYgSH zV#k0&88Y(yY)gLx3SkxvfBbvJ(8U@Taa1x-f}m_aO!kNS;aC zeln2T&#=ci9DtTk6oD-j6&3KxAQzRY#H=7X>vkn$QQOYlB0?t48it0=;F9|aH5Mt4 z1mJ&wWWCno3dpw}Lah}#$076X=fKiL09;!Fh7~mli;&P^10JTQBMJ}sFG0es?75XF zr7@87DqiF8*~drZI*_u;P%jvGF+=s=%~nbcT+JeVXaZLoTJeRnl_Je_}+2=alo?(sq) zaI3jpxAlqov^4h>Se1Y(kHx>+e?S5M5ZRW_?0AD@fh+fwy_fZW?OIEOZnD zz;$5|H}4OMYkXe*JRD>s3LAhE2M_|HshojIq0!xf^*;QEN`N${I*P~e2Q>I4Fcf|j z=PSpI&}!>OJpuZ_4QD$TH7*8f9CC0Hp|s*{Sjr3UecBwhf;rh%1#PF#Z&E(c(V;PC z@B>ZVZfSV1qoa1FFaLo}WeOBC&k9@u{1X`-fJ%CKlMQ?~vE{z|(Lqgyp_qg*LPmpg zF_GZSgH&zsXgO9H0cL}Sm>&TRs2*0<*6%-ldopFxkYyd z;Iq(c=YI75#xv7mPO7sUL59C^B#(n@ZDxJB3XE2$ih`ohH?<2Mjq#sv>%dZg6xkNg zxLcsi_KuZ^F?#PYG$aAq2CpIn%S*)%!?Uz#;m73ihYG=jY-o7~R4Qx9@M^ZPLAe(a%nXyb?$2tNO)_3LQYLFAMNuLx0_ z;0vj>-bWz)y#fD^@5r7BIv12mFq5`G5`T=2funq-PYY~vk0tdmYAhiiH^8G+0EU5? zgB9wW`tG7GH^~*j)5x=N7ujmIoWLvuna&*W7Lpx(_O^zHf3KlaZZ`Q!yP9bM)Oy4x z6GK&|`|M8CFxnU)1`RjS2CVD`BAmlmX~{4GZz;i(ng;C{A{BrUNC0{LIWj<^4hS+B zST%t7kph;kmTk9bKf>f`F<#ZEi>|6bQbn@sz`+?JV?ToB?ivuU@zOH(01pT_Mja9q z>v5p04ocqxX@3lDMN$w`G6*LSeL+Ac*<8s$DT7~2iRK;YmoHyz+LoO{Bv>TYc_*Nc z!Y_ITF*qsiy7_nhLTB1+GJ@#}O%68&1{^YI=O!jxDL29Iyi^oK!#p&y3^?m$RYg)w z8j7|+9x{y7yDwjke`kA;m6ZhnP(GZU3%0I>r6ykDcyE$2bNcJMZjO$QRsQ?o87O?} zz*>NTt@s@uh0x#;A;1m&BYu#LfqEIn5@jALmWpfW zoD$SAbUguCIci6#$f3AsNjt0O_*~4u|&MUPTR!qvj2vV{nGXLDV=; z`;79pF&jD+yf2ylSE)IQX3|@$h~YrL%6;oHj({>9#=;OJ%!7W zpVH55IUJ7I5m{-JX4nkum)6ogB(FhIcIwfM1Jy4+aFE;DDseZRnn`_1^$yQvX?e6S zNG@`wDoJhaPn*c`byH8zgDSW@;wz^PAZPvm;e-FDA|4Dte|$ur{$JHSTgXSdj}l~U zOfO)L|Mwu)Bk(85VFo>{FAMoDktSx*l1=OTDDm?PD(z2h|G)8{68G_;?*GfpcNymrnu_j49wk1J`}C)t&^`{TYw0}o3r z6ihklA5HKJPF6p?*!e4p?PVd!rzf&2iU0l0&8C_>!|l@U*%3d(x;(?1O{acGk>&pR zZ&bfKwOv$da%Sw9MYzuxYA#GU-8dl^#DK03T%$R6H9q(+OYY-#%Y;OH=~r5k6ZKcY z;jY6O2=xt8&Qm5}CVKzKUwbINntL2uSLm7k+q_#rZ2Th?V9Y{i}bY*nB5=`klo?W3C5Jn;%jVQNSBu13r)Qi1KR1{A5fqd>yaMU zXK6R@^k4p}nR*Y$NfNcPA5T(~YOLW_-$fKNXA&s&LstKL)K!@B7gm*4?E^1Ot=o_N zi(N0i;};)Lu9{lsPI*pPoq#7xT5;SyFx8q<&@1rYbWP9?L~UkEc|JXtm$ZEKL$}y& z&9BK#O2p<8NvJ!I4mxvTr|-YM;#Ak2>k-raSjoGi+RZ>vJBec^?ZV&Xft&(*-G7Vf z%NNP@0JiXI;y3n?GmH4sFT-gJHFIr(#tQ{qo5|eXs!x3~wdT*UXhj?2%O|Lr&QY>A zwufKvH=|(tw`L(pQMcf9D8>roo^z%M*|jAID&FOWPb=q8RQjdX|3&I;nK~sUiW)P< zEc`1){WnpM)O4O5bX8MXpd+>(jN~dYKRem;X$||U;TCs>b()22&xxW(tVM@EK;ZZ5&)ApOfMbUUbc4G z(Uat7%dM=am!GL%(VD#}L{k)=TW@E>_O+c#>I&y#e?E<~5*6pASosNs(nk2}$IM+W^H3~m`+kN|%j zfIeWSBQ;h30F`~=^ou1(x5zTo*4z6XaHG-%+CKowc1=X|4*wyNb3~7I_3rE*tG~fg zGVsJ!>CvWcdgmb(Zc`5d_au7V;Ig+}55#siMhH-HiICfL1FlXDPA#UUvLWIdTr!7) z>dL{E5E&V1^K0G)t7PIi`9p0bJ}V>gwY&v0wZ@YH|Ha70tz|qJ>584&61MK#+uUB~ zviq%+%eK^kwfEXw4W$hSB4<_b4vyj8pQWRcQzd`49OIItQ>XeG8JLtq)1z&~bhWem zSPo5K^E6Of%dKF3MWP4m1~GV1egh#y46tVjiXDx`u_s5Ex}r^`KgH!(o(_f>yz!pM zEkV5|0jHhcP*{gP*)4%Z^VHY7!Ut{WNsysT4|-xSkxhCP;lSOpRAg;!O`42_7(NqR z=VSJpvfu^_BWLiritgl)W-d&eq^CdxyV{&<8E86V_B3Ey(-c-Z%zy3s2haA{4y%CV zMe(NTk*^VK?Kxq&T^fR!TSn$*%WXoo*sMX!0pgUH1*~nr6JND^d8C%YqN9AWd1=#4 z`cB&wTW5j9^La4;(aa2bO+&%`9A5Yo!xzz*1Fj(OYo3?`cmk^qh6AL-0{EwLTYh|m zi9a%k@HMrdyfXeR^JkU>flnOdvMdka)$wh4zOe z*R|!3jklmnB)xhcG?%s-sARG~b6;aoTVq&DtK z^*Cwa)Mwip8pClP(l0#jwmcesLtE+T=J*Ab*;Dtq&OPe*RwHO?0U_OE?1t#J8oKQQNz;vz_^Cs$rS`P>LmSkUNsg*nh zP3v}yMqO~5)}gvDxr}XE3tNIV4VGguZmJS4XV^lcu<~YBy)(qsbCM9)Kz&tV0AxlY zjnqo8v?jZ!JF2#jRisz_1D314{_KCX{$h86Dc11JrCE~ntiQU{mhyhzsCZMqeAjor zWF1Q@xwvWOBYmRNMalA}O^>|haakf}>BNUv@i>Qt$CnC89X|R}hlI%K`-F|%l{q*N zkM1oYkPrOXGq70$>H8IYYsEF$_i!!Yjeb0(>{||207$;Ld@eE2V0c$9DC^8!^CR%! zrP))hT?Sbk3Cj~SX3BuTn{w@%$KDw$Xuq~;9_u*r>`Q%Ksav_AXbK1U>-wvL+N`$yeMUSz z^@WTbsV`E~wN8>siTPamx@mKp$i&-Q0#ec;-ino5*~UyMDJcY8D%S3A6xrFw7{w2l zV){EGuWuV3V3XJ2c(H-KuNtLioT5m~ z`r9Ma|0*@@KF>tIWU^%K(_p?#GU7Uyg)OZc=lmQ_oW^w|+|NH!(f8R4vkp4N_AH{s z@q;anajIbe^LJyv7(#{1a}tU+e@3ZnjU#x;Kj)1WTwV>PhyVACRUjdwWFS}dOZvx1 z`A1sOPdGzJG)`zwUkf>l%@@BD1_oIl%P`=%A46YR)FhmRcdDZjK{q-u$U~OfsVYHb zB>`1O`2^YYLEqEHykYGF32c*{9GA$CtY8I;(gMHp&x``x#s3qXyI=u~Z2DRS)&>N%c8QjK|40U`Q z7cZKl`&!6n2=rKZ%nN8AtDPvgxI!L9o;bvB8+4^jjm`FVrMp@pd!kJiRpx z^_L`}eN-bE_zs@U74g5TJm$XCA4#i#>-QbqcA& zW&MNafOo@LTzzt62pTlNjYJXp>PN|@q11n%qG)Jb+wN+(mG=&QelA)UqJcyUD_E_n zubuNbD?ZADa%y&u@PTbsoeV0WglMQ z|M30XKGY}8!so$9U+Yf>;N6z}KArq(m8vWD>9u|{Jwxwk?Pghz|0@K(4`u0(hmNS@ zB9l4oOe}6fT1fcZ7MWr6x2M34c^!Y+R;e?hOZl-b^MA7%Tb=d!^6mlTE!L?2Oo@4WYT9Y+{?7_v#n?ht`KEjGpK+i`@Y*PWchu`*YjmP}4MylYHxx z(C4SgIf<6m^TtNQ(!DA(*V3b(Hox2l!X(c}MA4^s{IJlnJgB16F7(<#@m?fv?T>E< znJ-zHXlZ}FTvt;v&5E!{l!e>Tr^&yI`^ec|hO5Ct&NiG$bAN~?%$39IV{q$t;;tLXbeZy=0Id7}VpM=qg2>5$aVC(MM6pRubmjjZG z{OnipK(m6Nq>gbdHr%&>s;xsOh^nqTOUiMLWS%I<^$4_FojtgH8ux-zUR#Ty=d5Kf zcZPkM=-+4-bxKYIU9XYK<@VR9-*@JCH`1vs5U3*B>w1LCym!OpwR*KgT3V?Clb6A)Sr4`R*4wr*#67r(#VfjCcBPj1IbZfJlxgxej4cW=+}>yK(kn)Z(4MY zlXLHvJu$dWHc=k)j1b9K(zYC%+ali_84i=Wx~SCWF+vaWg-t*!D)0g{TDSHat-!mm z+`Z#*{9W?T(}Q6;HOvd1rL>Bo?@aZmGszxlyneYoZCRD|Cxio_hWcr$Bh)Tc%#Rn& z&HHwsskwY!Yh&cS?M)wSJEy3v4Upj`gW+|RC+0CQ8M+ z*(|F^s${AsUx zCUoHGzGr23_Y%aNr7~f&r?4mFg3%dizls&S(s*z${A2pd%g1q&k&0>=|23O<_2c!L zSj|l{G=!H4w{uJWODvB7zx~bh5&YWmLEvOkfT}jOEk7gr$>g(tZ7DNlN=y@DN!G#z9Ims)h0T*c4#$jFINg`a9bZE4t==C{U`|qh({lYQw!8j!nqtN;Q1|6& z)%~br$Z@8Uc%Dr^Gwv#I+?t1`{+%`@w_fQ5kWGG-R!Cm03QgzgGfMammaOqu{w2ZD zDaUwhX0m=ZIL1!9#GlM{V-jeHTeM&96yiUj=gsfunavcL z3P~eVoN&HOChOb6kDm@7B_p&6y;l6Lpd$a&qTg&St)SO!y{6lQ9^M{g*2YB=HRA~} zk}STqRGbAUR&}@e3&$GUQyTV-PGio336>5u8rT5^K!c+%ORl z;?*I$K>O=cSc>AAlc6K8gt@29In{0-I2C*~gI+h*r&S_U4zA*ZHW(Qlt$F))RF(0o zdys_!n^u>;{>9!o#`f>G-mh8S2}Q|DG#{_(Pd`P^VPuMg+Y{b99*%(pj+%n37zUp%LhT( zKKL$>ad$7#{vz8Hl-3(~YTUC__bF<&Z6GQ&ORR?H7?)I6(=n|3@>xnn++34kEr0dREf>T0LZ*~%n#+Or zOBv64-O9l%fS7CsOg0c-aQ~?WDfyr)KOdf-ciRF_Kxoy@tUXf5F`!C;!qqM-gx0~E zQPY=$Ni(4Xcylf2)SL@9>e!6(1-FO%~2|X zmC76LJAHwrZW7tyAAXoQYr&|2B3pF{=Ok4ZB2C`R!dV&`h^Q;X{kNZ*m5ptpNxI~kTDak6d)BYZ@4w{(k&`Ckr!FuvN_V;M|ENnac+=J!Q$v(~AOvH!?=`Wu9)Tc;@GHRufuZ%Sg17;oj{ zORo`&x922Ac?4>GlUSa*@F}mC;RH8^LFoSRT;1nzlV}a^S!jz0_xBv+U?bq#-~JF_ zUUlgg=~lJ%nh+l5n2Z11dpX$77VDerZjhjxaum)!=%AGl5K!Ifp?`a+t!uh$TK z4S^2&Qj}y4^feGq?uSAWKWer}ncb>ipRAqv;qpnIzLnOH+XVu-(k(S*FIKc1ZfT$X z0DJ@d_VLc?Qx_#xtZ~#thOF4$n+$rgfHrbs`zrODQ1YBEBMzK7=lc-Y2~ z0f8BG)G*vVfm7&Au9rA}1Rr>Q>SW4i zjw^=B!L60pb0^nZ;^fb6CYwkFKzBF+4%soddB%1!1j7Gb4rrcvplgp7fvNl~(y0^u zHaWone(q!lSoDLF9fmw7_F>qHoOj3XPF9uP(59RYmck4Z9P~1`G-yp!xSP|IV|typ z?gyVAnmpuUNY~`{iG%Ew;@e+Btd552$2rIe9K2*^eRjJ8zYpQr9<~%*{QohCk`H7( zw6C)3A!QIbrNQV5SLD&%U{F>X{aF%xmXy#dKvn0%Frmf0cqXrjyblDq-kB~Tc5KL* zYX`(_$wHo6P7tRBWLeIKo%toiE_DpU)^U>J_BSiLrr$l<*R`IIZMX=e%Cp&a4n&#O z{GdN}J<221N6(-3s&`7W>`LnIe4FgzzvRe&0+&d?flTT>;09kug3LnbYiOR>1wxRl zIW-22gp%D5rio8a7Y$YZkyGuO8*dX9t7AbK0#Nu(s){A{u!`p5mMdjlEwwnLZoS*X zs^1n=`MRR7wb?3Z(q0WYYZ<|vA0zI{1$Rg+Au!=P0ixwYPPX^=2V3d^J;>*^Vzqz6 zx9=Xa%b@GU$^un@iGDcS3F+8^}M6w{+ z_an|i0S}Zgm@;q12!3iZN7wzKR#A_36dm_MV)Gz6fWFY?d?5}d&mxW*QP((b zGP7{bhUUf1z(>--@BKQkAs*k(jrJ^*@I=jq3)na$iB7XKtf;q@3LkYbbbb{^C!867 zud%=WBKi3s`3px~9*o}BXYaV3_87OX?*y`E;3%~Z&1W0ISN|Z*5nYwt+h~v}9Rvq} z7~%lN;a(~=QlLR#ZEHpzgakF6Ph3>F%U{XAQS+XoZ)?+fVsgbC#^n~HepMU$T~jUs z66rU}i?Ur>=lrNTofJRhEl1g*0t`uPx|~$DgaT|q%s>sjTW>ZJmpy^72z%!S4vh94||MIp{vx$aV+4s zz42c`FG*6WbLusZt>6EZ{{MD4o&5>dJB0)d>s=8S;HeSb zsITM6MPtIl=lH;oUCSaUfRRq6nVKjYtD=1R&4KW)ZsH7+#2ol~fRt#X8|PkDyBY?E zgb=!mD!XP2!Qv&13~rFkYh4YIbqBsf;2}2VUt(Qzl8Yc;n0j^cwg{UQwkfBSza~xj zj(T;3T!eXg2)(i9HO;b`+A;o0-GT4$ub6(SZ(YavQ~UK@|7;z5^OUM5x~se7^}N{# zR1qKGPvOg#R4PB&K<~+culOiIt zQ+M}P7dZM5M4k_^dGhLL9qNjHJT*NEwt))XX@Z$jCp4511}0{AsFm^kdc^`!d-hmE z@3e;cKzwn3sYG6XX%6`s4}4Wl1_q!hGO}nI7!2T@!8(H60-w^;4_rHwZgSB$H zbqE*6dk^1k`Tr31-tkoa@&B;BLXsVY?2u$zZGd+%fKh=i=HGULe1COfOLx9seS z2o(~dNOixiKHuN{`#m1_J`+B`!uh(dZ5S41w?=m0=VnmNP+cpbA0!-e*qdbhp1wUjp41G^Ej6ZQzgB z@n1S(IZ&X6)+IgmFJ!yKc28^|mp+E;@ytNEtCk+qXwyPHi*R(J!;J;8TfZTOniyWX zv|X|RNk_)|1Xc)|THm&qDhgNTMAg}4P0tf$tV8K3=f``(C0@+-KRLajSaGtA?j;Rq z9OXWl5;CCWPtf9^mTzjibq{T1gg^2Ay=B=3l3CZRJ>jK)+-S3TFirRy%YDTFB38yu zVFg)TAXj#cm%CPazV_vn@v(zA?pN2jrL%^PzNX(iZRA3+=rAON+=339-PRCJMl3c74X!Sa7L}Qw2(Ph#O**{L|0L$JYwO_)@VThjG+=LYXoRsK7o)jV#61Ee#b5LTmTV8xxE)Z21W@V&H16_!{!+i#Y zyp3{6eYEIZ1M7P7{UyRq09`GlYKZyLe-9LSPyK_^?Z1YGX1{8dH(yC&czf93 zo|TggB_w)C9`E~Se~y_gQNn>A~aY6H~cdbmFyc#1Y@Lx zO}Mzlg&rf+fzI7??WeLCDQ~09S|Ti}5he|6ggDNKs}QlChJ zFa6y+0fF^v0hSedY=!H!cO9K^8<`2iwMCTOHWL#@Du4tRY9;IuYqS?rAMN7(vtaWB(P^-1a+nD|mR zD5gu;G8B!_0D^SazdL1?x6pS+F^Kf)F_chTEPwJS*wf#lpn^j+c&gW10iDmYjjzm> z+$5de23;b$YPY`KY1sMI7%3Th6wqjh8EW=!aM5|hQ-)G!PzNjGX-bLdDdG8~ghrok z^^rjGnT z;~z7!vC>K?{b3Jfvc*)4^xS`Ep6{!-p5L)mZkfUtAF+Fk*m8m(*$Wuk!U5aH=5sqo z9bgoK*hql6nIz(!p(w5dkAZs`3j5sZP=pY|c{#P-tFP z5!1HjS;?{Hdu-4ufYG_6q06+lHYZ9xGIsGwia}6(^U%Xt(5)c+aMW*CNb8<{cbW=$ zbNS#iusC$lxnzSpw|Sy|Nd9O`6$Q{ouaSmt!dfRTj9?lJ?5 zl|BFk!#X)49UfO7+DJmnDlV2gIH=GDK)>j?_!7sMN|rfXadA1SH_uyfUKL5KmX@$9 zvO6S;@tZHH;3|gZVB>`P&i%C(_kQK0mLBz~Y#Db2#5oa#_6IC?fpBi|b(vwSy#zYz zX>W^;q0v3#$_>N zAka=!;PiH=vrztZhkX+0K1P3D`B6?2b62F%QCeKiAoji6g!sbA{`DYU&r~1@59s8H z$Qj%Tit7$-VlnHlC?VM4J&!`~r^~}4Wtdn9aAQ=q+5KMT|Kw6dIg`WW*fhaQ3FN=| zego$%Fv3s#JK$7lm4c>Db<`{=sPK^Rx#<1VohkYTcma-pEBh zP7tOP6k0~Lg@j6EvjCP`G=gUV98LSh0U(d6n60*u)}ky3tgBLjP}Z)-=6MaqY_)_m zw50=x80-<+6cK@UT*34q|Ed*Q$>dkdo%Fu3w9;LTsRQJeXm#Or zf(Hx@IHQvngRUdFsRJl@bKGj7m!ob{55(Eza%s#r!z+To6e zgio2TxA)w8VgBq!8yn-J#an}NUuePn)Ww*lqdG;*&5ho?Gl0!~{-=MsZckw@lh%$g z_Z^7;Q_f!Qo%F~~@DFc$!MtRv%4>Xfg%Exp9P@}e5szLtp9durV|ssnEZ@rmdkFGr zk-g&(q?$%7V89he&&+HDVfjNo)DPZ4Kf%Ic91wp66lyfT5gj{f!k;@-YEb7!Z=qkt zLwQHGcvuH2Q+?+B>G=#5BO1Nv#I?4vIK{yln^r+in~u_GeT%tbxHObv%r|!H1<7@2kuo9OCa(hTRV`SvqUh|rB8gwUtptXOeZTGaPKC^Q&F76ynZIV3 z00-t#Zz`Qa7-K-o^0IJt(?F;@JXaR?1>K@oH)~%?N0hiPV1mhJ@j+AchbnCH>8G<_-_vDZ%iiZ&Ky=-uvWXA#hN2AAmxxpjjvCM1t5v3+@nNl^m9AxvU2&cRU ztJ*};&dNrF=D6gk+~wyiZXn~J{-(=B@vqI_)!5+g--DYIrhS?En+jF>^tJN(2t}U! z^N9qpF9eSkf4#~ukbF!mM5hhg8AhAw7^n6h$t_hn%yy917)K)bX#12t=<9M<=Gkkv zzrH=)0jXZ~?HkIv^B{Xf)Ht9MghdtTxEDvIltZ3Hk#KX7-FF~=K()AvZP_NhM@KStdtPpn7ujbKg&o|ddd&r=5NRGCBB+nN>T#R_*{ z%VX3&NKvLMhd$&+8+yHSTV$H^*G=0V59Ig!&=#$iC4bF}?1(fN#0+N+^)5Id3V-$Y4CXL^$tt&TYfp?}jQv;Ox>M!|gYLx+uq=|sjY^@#w^4+Q9nB2|jo(>R&A z>Hjv7ITd%ilmv(K6QVABJqZ`Sz7h_%wGP^&c9lm=ERJb}Ah3x-&+rn+a_WvBO_|_d zrhZe$5_6Wm>T@kgZ;XTFn`RCGKkV~ZVuHWkwVa`H>WX97OH-RD{qSRpAsQHu`@j#m zL1!JV!18+bf8w+tQ zKQS@1hgX4eJL?zPGIhpn$r11?hLWD2A9T$P{PLn57I`Gzh?Zvk#t1AW@v<};*ltZ3 z7{5znO|B~!q$vET_vxfwA@DB$=$8@#OH%{vmGeIj_vwJ*vzk(Keur;iW?q@?(ywia zx7P=v0k9Imsj948Lp(%5j4L801{7`R1R$v;BEP%&bP{#E^&(xB0}(Ml(KdVq9aqHT z(CMkAuZESnY})!!&UR0CB|k;oQW0Oq?DNTaELW}=VEwx2p6~7;ASmtD3 zr=>WS4oU%P*d&uUgYG#ty77rO*s)DqezIc*-HQdl=WG<)&86pm=4prWO@S72TW(JL z#sQ`*Y|AmGdQODfWHQrwb#SW7Ll6fu&1E-F;4f-c)3R2u!bdPyQlpkFwtkV(!&93f z+`$dGFAT(nL1L>kK{Gx|nX!q)>4z4LTQR;RN>S+~!cgv(h zBR5KOq`%aaChE*3O5xWGeC8;atN=I~Qi42G zBwr#G+uckk2$|>lx(SI-aW6SIyeGj)Zwp|~=V6jJqSajDw3{!hh=7V(H2o;;K_Mm= zUk}oHx&(+ zE+@BJQ(vC~dWDBjF(!uYG&RvQ?L2F}ROl&!DsGYB_~nID7UnL|OWt5zWAf=Yz3ce5 zuk_EWTvS&a*Z9m=veO0lP2azkz43;oXtQ1?p;3(;0QiQk=QfKiEj&Cw?=tOVpgK!! zicmmJg4zoQa%MtPQ+qXN zj5$)c_8NyGv9>BkD$>&%afLWD>oyrP&DRU1Z}R2anFzL3Q|*^md1zg0YKx6440BrC z{(<@Fm)K}?ZsLVtulfZ#S&N?CX|h>ISnH-_bU2}48GH(qU=>{&AP&RMxS4Q$On&ag zU)pFJFGPL~oKEW{F>omU+XI)V1)|gfEP=hzFH7L0fr}hY)1u22VD5FOEz+~yje7X*tSSPL}9JC%a&=AhQuS5q(=S=O3?MGwWysfStKPE z;SXL(-LHWamGF$$_81$G!gvOyKj}|D?E|RZDYknaTZqfcvS?IMAq>P7mu%{g=Y_QY zkD9Gq47yb0S15pI%8`7H^yK^BF<`g2Efu#(^H+v7TLbEM2{bmRJ3!h_2HOayS6!FF zmUo>HP1j5dIJ?86p06{CyMma_gUi4m@jW2>Zh+`1Wks80QrWdTUk0N`{k8p$n%cZ} z@Kh0Cw0dV=2n!Hf%rWRPs!WS4QZr(K{=zBjY$~>#UG18yuAMTPzUfr66RmH;#E~xM z?538ie!(DvXuyYAq38R&8Tei9#ta#+j?V2ryc4Bu zq#J&7s)(mb*Mu4&!aJxvDy&su#}rn-8@u8&qXCT(O(qjfWlZc;Ar5UZ8&@KKNt<+n z!;4%pQ{U&$?&Id%zg=nb!#$>M&5(AxeMgA${j+Fmc_$N#U-@Zr7MCCe3JsBj-Rdbn z6Dz~S-WFe1n3jo1XOrCs{6ni#$@SQ9qgu9==xCxaS)&i1{&~eApeK+*2{9vYTYZl~ z;gKCK#2Y*f--4vhlJlHgADdjFJH}5LXj^}CKJCucnm4@~qhPk_IM@j8V zSp|(>_gn?Jr|F7yJ!hK)L0017#yFHPG%QNWKhRgBsEm2E)1NlhRR$m>Ajm^MQ`Q)eT$4u%oDJA?68oAoaczq%pmHK z)ihQSw~0mnOZjftN`|?1KfCQn?cAXash$+%~%xIai_S4mc{1vZQBRNf*>vfvX1{ zbD$sMLAPX95C=i@ynC-Itk6|iysJ*!mMDLHXLGi0u z_)>S2tR7&FX%tE@4Q-O)_v5RBoYHv3-EvgTfSWsKLbzQjn*k)r8=U9c#)4?gqM<{M zpw)=I2*OA~l=ARYsORO1gE|ix3;|{mplDqD6o7b~A1{Hd4WY{bkd73Wq})$xCp)Z2 zu8D9?(P5??2lm!Mg(Tqqmu2J16-v-MrHZ+0Qye_!A~#)SgzJ5!mEg3nVmnPe4xmCA z&z?%kdrtoyhyyDT&&Ohu@gXLfvG=631q9@LO2h%x!>U?pg3VJx8a?mJR+i(tBZjyS zxKY}pxUVV99;>ujy)j_g+W@7E1Yx%QKY1>A5P<6(m|+QkUy*iAPZuQE7ZGVMFh;?L z4$=2{8e9Osv4dClfJAl)8q~#;tZUKqbu)vu{c|)8$P2~QLJ_9#Z&wKhnjUadxGgE8 z6@HXEV!NGj9|ul#nutp=-z@hNdsNRt@4s`}>oz7u>+gAE}t5G^=rU`zl+%`@#rxlb9P&vbs8)zyHFcsm-*r zreKS&WGAqKSm?I&g$&fh@}Yre)#&-p#s98}Fw7}8$gw?J@`opw!aZ#L?PKvN!@(Oi z%fpi!cg`R>BPHeksnD{4j9%FF*ANfmp{+mn#QrfU?ahenqR0~>z}Ib=mI%?KTE%wm zZ$I)acn5DYV30MLvlMZje9 z(T)Sk$qfjXn*~$0$@yA#O_Ud$bThjXg6O|@8U8^OtJkxUZ$KmE4b5;>wBm;xT z*L%l*r8E9qz4~cR$6I%h=uTY4M|$oR`&}b%(vw#Wg|oZUq(4P9N4ovHbmhI%-6&P) z-#mZi5}J1#?>xe}M>C6O*Q)3@^vuMq*)CBgZ2=KM`>+J8T|tfqgl1sAsb3B~ZHu;9 zfCnZye+&-$c)W|C-98_%mMBj5r5HNIo$GYrZr9t={)xj_(-F97f0dQ$w+t%lnWbp^1j ze!&&MzPr-0MXXGii$D=5YGZA@kelPS?-bSF)L6WWnn`B=K3IqjV$KIdD`M@4Zw zDYE+=hv-zQXQaETaZMs=vD_DpD}r`_?vcFs!7Nd{wo$`j9!sacv#5pJlFGD!dIZ^I z{=>rBWqp}2$^VDaFTeB)U3}Mv9PLc#r52vDKMIsu#-GQWQ|;YsRXYGq=U`0%&%1|u zSI8nyv85Z+$9I{`68Q@R9BS{N@OlFFUuA@%9C~X>;9%G8f!4&AADEj;vWB9dED;bP z6tTcJUreE+BojrS1C)WAZv0~~j=+uV%GyE+9+@yjgs~cy6fe)Tx3yq12%rAH1$fAZ zt1Q+IIlTSCfR(bR4~Hc6QA~vk==Pe{CTKM5UQn{o|62UI_={ygf7cfny-Spz6QZ>B zhXl<76m<7+;f?!^+zLy)g_Yg^VZZ+$tW(8^PJztZg3wg$KA-mX@BUwZQ_C$j=oA|C zE8_amp2~{;&1(-pdjTUe-ihc%c~H_?t+T@wAPT+f8%jC@uam>G6nt0O$~mU!_KLE0 z4o7P0*{lMzr$r&e-dtqrH4K<7r&h(pBC;1+X!LyfU%D6V;_7qw8px&R_pm>@R-8sp zI0PNUn@RVX0_B^N_#D+L*fi%GKUuouA9OxSaqI9s3WtbG-d#j1u9*g z&`Nj%L)9n#7KHSiziQ4Tt<_hsb=9{W0Z3tqq>K*K-^w{M`V8!ci>1-_W+xrx^M)nXSO zY_)M*UueD8GpsnTB?insLe%K2xRxV7Jh$sfPSZZnp9sKCo6;QVo2NvMdF#QQ`N06y3-3Q??PK@= zxsnhhBa=miKcD_>J~zts){s`4GveqoUx`CQ+qI-MMUMQ<%|^#9C8shzil8rnbod%a zFR2v2Ei1GBCy^ODI*s~G5W+ONg8=~f@~3I(=Mn{l9GTjWZA}+GEGMj68*4QgJ#t%2 zk4ssx7HdeYwc3*WdHDvt(02L9875j~TpiZrYjv|3cN^SdZuS!pBGLy_LS{GG?X?6B(k_T*c0QDN28+DmD4 zuvgCBn*Jrm{BCZCC}O$v8nlvWoVBqF?}whpE6||f{07S^%1ZG%?fX@%vU}=9ZKx^# zG!qMDH37q5(m&n4pNlD_JzwCTP`GQNiokYB>_I|Qh5h|k=ABrpt}1zUJDa7W6|u(q zZnTNr?&4Jc3p^{RpJ$^J7jh@gE74;*e2U?FT2Yw$g+)w&xT6{&u_r$JtTo^ZrQ&dk z8~S_}e#`p)*d!ldAc%AqqrqTLe&Yp$f_L2$w?A^}Zl(-N=s^ZC_lu@Ei*II|o4)(M z2%o5{_6TObKTh9W&+I3Y?NQ1@{mtCs-PV*K0}dWV@i1u_sqIdb|b zstY{!t}|GcueWhVa0wrWRXkD+DkYxSSqr>l)qH^m;@i41uI%5E2a6^4?ZmYu?61RL z&;$z>_;8fz>oR}LUKBGQ;LH_181U5?j49-EL+fvsTWVaZeR+TaMgM)C4ibCi1keFP zfv-FNaJh8yZN|nH?RzrfkL6d6K%;3$RA`;_ey;j4MrL?C9uj zCrZZSR7^GJzH0Xnrve3K&bTYEPpC;h5!{y*L3ah1PhnEqHaK=eEJw;JNGiT0hSGv` z5i?FjdLpEmeUibEv6Eku)6776;*1#=x?^krLD8VAuo5(;V2JqmW@an?mD_*YlhQ0@h;Y&x8y)t0LLB;VArT)JzynRpuQa`4whTwV z!_LNXaf)YmvzO*z6?bDZXf#}wKpt6W^LNoLKEHzO&iupAE&S!~b|{Uw546b&9`1%9 z{;y}#TCAi_dQQ z?bjUaNHk`80%+^zpygm!kShp#s5+qyApcH_NMn(Z=I-mWv~apIVc=3>4Ftv0Z!vNN z`CxqoeSjEX=RJW5Cbz$QFoV$tFi?gJDUi#bJ>#Sy^M;%if%(BQ2x$l*#BU%q_X?52 z%q%^}*O}qVyH^c-qp0v%>BbS=SV@y#D5c*2&;i9UvPP00w$?{Qno6#{cB==!OJ_Hf zF7OR1&vE9O64?Hj{XI7h-$v#a9=?SrzOAQ7eeH)DDtV)3#-T?C)&`@7%a=dRJ&5$9 z;e-qkV%TsaFWJc_sk;hn`L2znC~b?0*l={MXZ`G~A(#=`Qa>O-y4;9t79o%=fU3Fe z^;HI$J0ifwrv!r;exL{6C^v`$#3u<_m<@ms_)e*D?}5>VFO(7ZIsjn76`Gfokg*ZT z|EF0ibJqf)66irmiTzx%Q$vnW=j&Q--_c+-lPtKFVXNkTgRzI}6UcCnNlrwCqeoK~ z1DHSqf!2Z`UwB0ATc!@A@Ogh*!UFm6(p(*Rhq(u|_-_i|Q(QfJ{u}0v7*}kmFi!;( zB02_9fqY8tb`fFPc7Z{Gwb|Is>6z_1*F}pv?=0px?HnI^U;XcbW&R>wP5u2UVDJVK zOmQ&Cd?gFU^@y`IVo2rgE`YEd_a8!TinwyAYiQsG0%e12#(=GtYokqYWB4j6!YceuTB|vs`+xMu7T?|g-KgF5 zri^d*dr2|su}=P`q!X;R#?Lu+mzx#eg44x7pAi2P=1fnm5DWc?w+tNIorW7xfB_;{ zbl@Uu*0l$v6o92+OLWjo`v!;9kf_t)jA2EAb&g2vN5L5G95%)hJ10D{o-V&24`FA{KIC?lp-`I1}gz#S>xwiNj8fhnR_Z@ z`06GUemlqDgor0((;XQqcN?tCaX|g~a>TCH+Gi9idSOzEtyg|npzPb$yB~r-{S%vt znl~<)G{x^ITJO{vFHY22(4%xoPSBbo1v2h73y@g2pcw35=PvgoeE!GTyJN@DQZ5?h za060Y&1rV`7734lGO15S-;Vu2jHmDF0?X#HW_FRV*oUwr_k|+n3v=GO2810Y=O`h8 z<(Pi|nPqGpSF=PwI0NM$6u2X86w?G65qGtVodV`vN`H;{XLmQj&j=?UW1$U-9={VK zk`H%VE104k&Tp5*4A;7iqi1-ol2IMGLXi`S;L)$GmlA}_ZKG!y=`9o2@fwhI~I{&7zyyQ z*bmRIZ!)+3DmxOOdPuiGnQv}6(pPDQdEf+@P+U(a6cM0bfg{%hmh`8EdOP`y??FFb z6mhvi8cAS{8hqsDIG#INYtsWvKx*J3N+cmOX~BIIT(8azQWBR}3UtCvhu5$8tV0O&VDM%`1K&W};!rSA!u2+nojS_(8Ovbvc zX+Vu6Be5RTnWhVb@(a0JZuy(jqUs`1>4~I}@@TI=r@^nxKTn6q^mqMO;zt>o8C;DuB`(wcZL|R==RWQf43nJ)!puOZFgNN_^IrT_=l?1B3^I8&!Em+R#>R9D8Sjiy@ zG~jcHBLkiusJu$;H6WRM@s_}^qq@FIQ0xD6;W=5B4zv7>YG5Ir^HwWDnWt&>HIR>} zbSdkj-Of62@KFAEChZ7mJc(WO;m)s@$YmgK$Nww+#ak0Bu0o zx+eE_DF-N~FA(DEI~vq^MRJ^JA7^bQ=q727a8gf9iqeh*IGdQI=Syt=cr#S$?9S?9 zOo^>p8Ni%aMsc$k%KBq9Ch183VQW2z;sQ#04)&UMz`92m$i6mV1#i)tw}|fZj_|c6Hnabv+peBZLtS# zkNT0*64AR-JcqT0k&Prl8q&t!-o1W18?OXF> z>ABJO4{zJb;XvIwrHV7{1*{4%R@ZM($j3-PN3l3rKHvrD_}vZp?0#TF<}DzNEUQo# z%C}o^Y*s3X!|Mu5s<>0?q&_VYkZmxOvM82!+$NF8YKkSgd$T80I~|SBlXSvM`K!!blUh4F(^VslHs&{I-S*xHYg_yK zy6m|19d=keL4d)wh zq1M5b#|{?d@6hT(9+?eF8bxvnS?D@$KjkUq`06t~um37H#t6Q>la&JInH;_{X6KHfVmf)`B*G}U^w<&D%FsswFZo0_KzD?~n) z|By^>GM=QeGV2yvx}S9h#~%gELqn0?ETQ_|>+x7WRDozR8>EN?qNb?}VLEd(>Mq`ENxq2VdrIcX=NiP`Rv@D zz2roOkhH(Ib*7kxVRL;w8?I|GzVGj9$P4?h+f-ZaH^_<4vRq>9DFN}**2j}r3r!8S zoH|{DwrA4BxCD%KOizD(y)UkJ1NX4C{AK3vV?!+U$Di+9#2KSJ4&s%waFtf} zH5-5aAbSbg|N1nyUe*P2+8Ki|4|;ce3&;Mgdj@$KC}RD&G!DDKQuPFkq`fd5^dRG* z@$}S%FKH)b(3q#iUO0ms*Ru<9H&tDOh3 z9`D)f0WIPhUB#$umgWkm_9mt>x*AzRu<9n>$Y$P%3FfaJ+)msBi~qd z`+!bt%53mM)jJPA|IavZ09Yqb!=^&hn|8Fcke94!%Qka?MuCqE{sG(Nv26-Co&lqx|QuXE#p?tlX!i%!;-RhM=p3iWPLVFdY+2XWp)q)0#sA8)$1f!d=?z zIXf5-+a%|IZOsMZTc&Z71~9y)%JTLLSsACtW_1#OcA|k+7hExLQ}>B1VOZR1j#!PG zDxKepaBI_mc6#&-4K!!O@9WN_ZL51P4Ly!Oz=Lhf3qaaFn@fx%qmRYNKP_0#cw1;6 zQpQ8=iBk*w^DyAHsej{+9Mq@jyDsA>v-f#{bPu#B#=%(8I+17x;EYG76Y&a=6}rAR zZ7DqTM*ARJ46fC(UNO>!TEXL4_%SKO&;Qs>yqK)5zUfWw)Pc^aygp5oYUeFJJKg1! zu^ODQ-xq*ij3=vYneZT77d{y*Y{3{7=C6_+rT`P%8uG(@?X{e%Uz|1Uh1}_p#6M~# z(L3%k?$JA&mQuRvpTCShJcTVS^4Trgy`#;;yNj?@;IiaZOk@Oj&6W`P0P9SMxt2M` z7J)8vezbC|a#J5c_j%LIvFGJqI?30WV(AX=P2B~E47-wMkx2s^8yghre?jJMIWeD6 z*e)5qW3SQk8JBRx2lLNHAkn?N%fpttda0Rh0Lg2H!Jk4KxGGE;y% zpOk8Gt~zDs_edg^5B4fr*fvU=pGf2LWYr-yE+&l1ll5o~&85D2W*U@(y+c}It=x-3 z6Srh|YI1?^3TW^H=s8rkpSY0s+^|Z46}Z+W2xK{p;OM~N?`}yGZ5uRD@B&SR)8^8L zM_NF>qWqi|dDno35R$|G= zwl{DgkQs$wjQ2vv#AIR9JPZa*@ED{*e~}*$km*ii*Geh_8e*9&B8WK$FQ%eVcCK+Z z7yG>}3^>gs*_ig%S|Bch4Duw6Scu`StQK)%i^ze zs3wxl-h2ev(nFpSNHdB*h=7CUWjlK#v0#jDDg^Fdkt{(UlM#Ww`J4l6IHxd1<;$F_ zDz5~a*d@48h_*So3EZ>53NhLNL@7lAnA&MW+FUZck$C(vvMM)KfWPuTYVVgPsPTK~ znJ^W-oWJ3I(U56dpDEL(7^EA*_4S@PxX1}Y&B()JulZv7*G|eabFgu+L6yE%8t@%( zk)CO%DxgHmfvxC2G3yAVX~tbgr^o=C8oZRXnSzUKy(R1aM}y?p;QaqmGyMm#pXRD5 z0WqYr&SI+M9j0ZR(Cq^MK!2SDpTk$=PKjBh2gv zL2BjAi8mQX2Ixfa{&};gXBn45Ve88s;^3atoMtl#8XkQ{md1d9?+fArci($-SoFKC z&VC<_NWW|LcJJ@byC6S%ha9;-KP#j-WNCw~6>YBSTV{#&768$xpDlI*`#|83|@{E#+gQoFryUT@^+(U{36 zmovZKRJ3xk<5qo1T3w%u_O=!>69AIy#qN@s9mT`W^M7Xqa8HM{L-lG(*&{_-hpU;| zD#ETsr>u7$GSIY2|5Y`jwI^%Rc_sb(a_e4>oc(-K%!3OYJi_^v!kSCUe^s?I3BJuU zSe<3{d~&HDT+8vzU7uV^;_~&{H0IxGTW>kMvUrN2i7^=K?JD5MYl}E<#Ko#1EWJ_S z+$tfFrp#ZZPd(r5{4I}4@Aiy^s1Ik64_$x#`J(@eX7GMvu|p!A-f4Zm7sDXqUZ5tk=iMLq zBwFE=bFB0#oBd?jcE#S8aNTV=Y`=3!q+3@v{Q3LVbl_np4>{_b3*MbzgP6_q;6Kua zxqrFU);naP_vd8J?&x}N1o=PT6G&T0Jm^uYJPwFoO*~MN{{Hw!dF0;Wy|sHqjH^t~ zGB6B9qPlphBqmfrFaXf0&{}H3fUzr#43(}c#8TwTwO=Cfic>yFZtlTjwTHjgwWCBX za>t2{(GI=z4vi%^UhKZG8PnuUmEJR^^YvWyAI68eAAO$iaB1~qCROu!nRC4nAz!V* zdKw{N5NG{HEQ|v28lHPNu#}fdHTA?t`2zlB!o~q|o|MSK^+NmBN1UV@s|qa%Hr7R9 z=94NS94Ze@+pK-l4bFI``uQcNCf=u@iyMnWBNr|a(e-&@JvT|;OUQkro1!aU36LmzD&WX!*7!lQ zf#D`PtSK|xODExnuuv=I3Na3E&Fj?&)MajAo!^$XG@lUE>JfW+ zHHQ8Du}I=JfRBGa(x+y5|0~H1uA8?gcNpSm;(8**R&?0gBUQ*o@i`)DEK~S1dk=$B zn>8EL6cv4$mq+`c_{TxGQ#_lGF2l$9aJDaBf>(eLO4d7@O5bw?;gRn!5HO0{^rj57g`{H9~ZN~hm;hP%t$x#0Q>#o|GJ&Sj2UTGUw)iG|6 zR@1LJ=G1L5fx&M6t~Cw*kn|$E6cy>IgX;w$a*hM!*gb!rvxj(1JZv6lx266+zkh*` zzc;j}#o8nzAFXkyQHwpp4AdE%^ZZ__D|{yP&ZXI_@pjYLfC52je6{x8BshgzDsles z(L);-7T4h!P;HAWG|~E7amaS1-_tFwBqrI9bSp!==z;#nII;H<*yyc0LX0}~=79+c z8N+?^GUGiLZcWd>tX9elYU#D|H~Z7zy{6)}*hsq6>{)Z{gor6t5mQ;P4xG6o8bie% zW-YI5#t}9aNR{J_pR>oh$c{^ZulP1t%ho$UVz2+WKxZ}kA$%EU-yg@WzBXeXO{-WB zF0e#{weI26JBY6fun68 z(!rpBJ7O_ZQ>^J0Bn)BGCsL(V^3oZ6q|Ij((i&o~!dGmcwR`+$k&m`sC8}!WxrieB&la#2pQPzFb?X7121p(RaptVz~+5dup)|lcV9G;+I z6fW9tiuU}K8|gD%OiqfGj~ac@;nLRUV?lrEWFn^4bGaSUG0xBfF2VjGpm?ikWlP~G zsHv&h$h#aF8{}LXU@9GkXM4hPeNDYYkaRgO9%-z|9n33S-A@@c+iEC#gl# zR+2B{Va;Ko*kpgXtWw9Gw0c0NarjEaja4E)_Y>bV{!r24KY+ah8W_o;W}SdK(ce3& zIrxJM?shLaDtG@TQB6^uzs;7J6#If|o^n}-0q!7kzj(+PJUijn+6j5#k{&rQ?lXI$ zO#}xXD9+LFZ^h+bITuO5YSs8?*kq7iKozHrS^Q-MscXY>_V^v_LY6ep{7Gan5;@L^7!fij6e$qkf~;NgG!M=1VfMKA3~4!P$9YR zT~uelv0=`B|8aOTF}f(%@I9{+I|_9m?KyTN#ATTLt+v2c*@&Puf^g0|`E{n3Iei8D z<%@>r&R~ouY0rIO=JChdgC=G0sleq(k!KHHP`#{| zGqGeh;U(bFFrH^aS?)SZp;&(CnGDVm9dg$#v% z4us#1t{C=WJ`0gYaY(^Tg!PT2>M45ekBcelCP`KV+EAljox+rD=n1_dggE0Tw9wMH`+^^x=nWR=P z2~>GB8wdaR`fN`BoFevZudtArn4gF;V`kydTrl#Vq1QFO8hA@h>+tM3Jbmfi?%X{i zmY)9e)eakh2qEXlGp!yWKf;n7L!;IB#>;2-w0j(@l9H0dz7&(PovC6R=@ePB?0o6! zOknCdofa>jRQ!`n8t#D2s(Of83Ke-m-hEu!6b=O=S_#4PE}=Yoa}go@G46upuOJU60n9L7zgeTboeq!FACJLgQiP(x1xGY1=$NN^CafykpGcXHu9-6aV zl~s=S^hPoPJSnSj3V2oLTE4c4#Hs!&NJg;UoU(gH7Q{sSBi)Fm4ly)_C36pEZdUf( zsNRB=^^+iA_q|1quQiqn8I8Es@n@?829KRZ29Q)c`I4|v=(YZQ86=W8_iI{pU9+W{ zSUEX4mY~+ggn7qXsVx5CNNYqYLkHFn%&__?tacvs%^{zaAac%;E}e?l+5)m>>b#$o z9;7SP7B9ZR2wWT-19Tr^L?XX(6+QWP-Re*A$xj%I(}Vo`GE8v_gt1Cza3li1vBJcq zJtS;T$>(lG2^(*m2xg74yO5hXs zjf4XwiO$CyaKfDDNUaYRDZe+x=m@bS*sJqoQr=lont$1Z{~%W4#$&3#GdoAW0N|*S zZ3iCex9Z!kDo=JnVrBQ^>$~+fKw(<|+5uw%fX~~HM?H~ghrOMhIJrR^j3F?lt;#4B zzDFM~o*4Vto7!en32N)8O_{SP{A_N{u>@$21};j<_1XZ;%gIqfoW{O{Hn@e(2b>cS zu2kuNZsH&ucst43QXZz<9g2~S-Vl}F*d%PLD6)5Uz;~o{T z=Rf|N6ornw&&2$g&4|irF=jN&^IQLMm+wzH7I=-gZ6+1oRHNZ=9D47icVuk7hfLT& z5(_>K?4_9DAJExeMqkPUKR*5T<#+EW!qj`H>WyzIG8rf|wDN*aB&3$RU)z|5885t;;mN#lIeCR^Nb`z(v?Q$%kC^^TO z!N>e%_2f!M`NP8doM-Td@N5-OWoiewiMwl$ke$_+M;Yt7kWMlyI(GJgQ7;7~+Ijkgqu?tJzkT6qa?`K4 zsN*|15K^rfLWX$YQQ>>B_fdng?Ysg5Y|!+2HCY<@KI~vnbQlG`mOJ3=(#+YpRzZ6rDg@j2|0*vz|_RQMR~{YtXjSG z84>VeCQjk_@NPHs_ABi5J{Ze#p9Q9&%paUzCGI!YuiChRT^AGFO0W)cBFK74IDJT^ zW8d2?#Sj)gi5FKQL7!(H?kSM~-xZycKHR8B>u=Q`!n+E7o9ZOtez=0nmJ8#4erSaf z>odo&7%x=i$4erBlzekr(DUboIvW}x-t*{v3+g>k^@-VF=j7-#%L&f@JoENZsml>#>rlfb}Gga{& zUl#8Z@Rbuk^c_rw)46ZgC;9Nkg@;>a>$l=J#JsOaDCOPBoiy|+^0*~S{a__{`PW5Q zA6*QUkgz;=om+La`nC9x{^BxWj!yG?}AvX?a;5*@(EhI+QZ<$Ifx z975Bh*BL88g8T!@Lq67$g3{y4!e)w|!6X)>-Y#EwsjWOYVDTtE>5zpd=O$iAWiW&} zp>D}tWOGP=wxSp0IxO8WZ0N;uO{wf%U~I>iJ0C$MkN|^rsF4BO-{9MWG0;zfHnM&K zYbZg7M}#+EXYn}$GjlKK!lQwbb#5>4ZhTieY>F+QjN5zbJC2J(qa40PX3!Z=rRACT z+JbRk)Q|QZHlo1b95Hc2Y)!V*T&b?TN&n}&77VHzb(=b5SayXBhrnFoC5KN5#NKzT z=H00Igrss>nU?|OZlP0 z*IQKA1s2JY-iYH8gxzEh2Y}sXti^q)2?n)Y9n9WEChH-S)Ld$oPY$<`+1e{Gp{wkd z>$&;~F0GAd0vZA0>XCdNYI2J#k*pikG@FW-&TM_!A-Qbjr&G@?G#5p{T2=|~+34t; zx}|YGqS|%w;B@An*u8+LED^$Q1&_@9lN@4rSMEk=lqHqIJFi1a3b_hfX%f{v(W+hX zWL5roUzi+LS?hiQrZa-SOP`bM0prX4;VWm3?nLqz4cmJx?Fl{NXEm!`xkDbu5B1(8 zqj<$Ky>ju~6iHd&X2!*rqM1t7pIE64>e{#?>}Tn!=js``aoe5*pTefVX0)o2kL+gN zU)3Rya>EUIZLdrDhZqmnJoI?I1?0eWZVUA);xUgvJ|GMfnaN~kX`)DcJ_F_GwL1(W zS*n{TKh6k6)JFAp(+x5%%lG1u_KQ_q&uT8I6?iJ+siEmA=JYN}}ppVA!{UMdU z*4z0)$1tDp`2=lyKkN*s6b_rQ>+DHbIa*N9wSQR~4?Sv_4*ead88UXf*yNtA;~P&R zd9ff2Z)xw*n3?f=#%PZ8aoW zLyN@XW`ym_9}W*}mJ4X~B+n$^R!Mmbv*OmWocTpr{4M;Tml2!R`Qx|`mS`QnRh>O7 z1coQ#eDKvf$L}BJ?)9Hzj|h4US6~#B8_0jIrH6kUWiE|Vy zs;rL(;vmV zcY8nY^FGg7_qw08)=k&1bvqJ$TVn+soQLmTxV+Qrd6sp6?yl9N!5|yoJvo9-8LKI? zUPq_v@Heyk^{I{5w|_Hp>y2fgWJeZ&plWLR`@KaeYiC?_pxUs4`IH%X zy^0!h_~?>;tgC6Q{s2{8zsi7$m`WJY=#nbMfoGDYfhV^2q}|i8A3qJ_yJ@}>>%WcM z)}vu4H`ZOTS*aB|3=^gAO)9Irq@OvTmA`l-6BkP}bT#R*fq+#XmCfR}glw_md<2qd^ZFk-h7Jx_N3{nEezD;l za9)B0H&*7y8gB7Z5x%5hs!=?XLe}hLKBFPoSdjwFKaGE`b5FNhR)l~5bwK|56YUm; zqGN6MVQJ^i6G?xwUAB#fb`m+2HM-y8s9*Klm^9>i2{@7b=f+fs*w_R4)6SrXK4e;b zi#!vVhx0_FD=|1co1IEuB;{?#LK{WK?XBU3h&>hRPgu^X^{bE34$9q2|1Ln>!ynwi zniuGGvkOGI&?_z^E&q~KLk0{Xi8xxxl%(OF(tAQ}bPmmr1ou|E{uifUi3XwZ{6 ze${{J&``k%>(Wi?(v?|B(GOYpG?J?NDut#qw2P)@?a0mmGA*w9BME!1M1{b@j|QQC zs2b7=0i_grne)wiGMIN^ZVxP;>i)bKHtI|L0g3jam7etTnF~SL~_;DseI}#vA=&r1gS2 z)jT^3{8lM%bDMElq6EOM7>(;-Et~9i@V0#_YZK@NGX43r>4dpNm`aB)VY5mqaqO2s zFKuzVlSvKD`DSIFzia@R=$q%UxN=R}Tcxd=JubdrePUHte3L*|kIR-s!dijF{qfmA zbcVqU%!ETOIvj~2nb|qAaN{YORRS3i9&Eh9X2QP`cTjNuP#tB9Cyb%JQ0kzjoYmqm ziEU9X1LJ4p%_Z#2E<0MP!d-klzI$Zx0yei{T@fOTmI3W)f zmmqKQC3iRBsPYUVEh8(_GeEr+uSIZBQaW+me?_XPCWcbS78nm%5Y8{e)iR(YUq#>6 z%H2y5CbGQr{g-@~CUe-9YRKhS3QApU^i6HPJM&|gp8)rUX~VYH2^LA~v9YWS&}?p5 zddJej{g{+=H88?Snb+@l5Rn!hK8=cAcyAf6TWKDQjoD$hWe>*SrR6o< z%W!bL$pwd~Y|0`1>eSh+@*_8#JA)QPSJr-<`&e7pF%|3# zDMSzHyMK>KOr_dYVX{&R;6(Tz}=WtKgZ|_;n@K@5JAsVIn zNO1;2WAR{8+S>E2c8ijV=p&Jip3AouP7H13Q?74P+RFdzh>pL_K41__aSp!UK=!&V z0K^VrLMBFL{BIuTce$CqW`)A#>@}<^6&%7fVq$K(l*N`^`qMxZV-mQ4rC_dLs$ZPk z8!T`Z0*_9c_*Whk%RbaqHc37HS6G!o*BBGdD-y9eNI|d-M%Me_ofR{4U&_^H+0gI5 zC?wvv(3Rk7ntqfwGNmXzr`=rmLowRIj|)}HXLFEDMiIkSbem2nHdJME9gFmeI-YElS+zaD3zcMl8H-5S}$%~pRp174L2y)rF>(Sut=%NY* z4DNp&7Gvo7-DqH_v@BpRhJ`&RR;b&g`tJB#O!H_{#WunZvQoj|(I* zPF(C!#$7{0qYR2_GU0HV^Apu6q|;4kPb^KP@BiFORH_r2ItdBN%pO*4e%^^~!Yrv`@nvPZ#n zg_QOhcP?9@A1>U2Dv4Z`Dme80Np9Yf1SW|TB|Wh;^K{1w#;fb3|Aaxwx#Dg;jG{3HHq4Y;E%ynu+!;n=zG(^ zRs&u9xVNX>)V!lChd&Sw#>$I%Kk`||iIm_DQRnvu_i?pNUWYKNZfCUb;dCRBgGA1A z>tKQK9=^HfzbLS40iRO{i#1oS6hixx1eh0l4D2t??G6K%_oUu=|!HXH8P9S~Lw#aBt86crQLBIPuy z+}U+%-IkFiQ2*yKMHB_R=A7rVR7qK4wzFP`H4^%USg&_KCHXvx7RlW`D{URBTNJ>M{_xR@PI`M{HV6EQ zzI|0VVp1B$^o*+fST)Mi&wE0nm2fCXl*+;lmhc}V6HG>{RKTH;f-`8tV{!%pQn*m` zAV={HwvfrdH|c;;w+|l7Fjo#FV?Zc12i(l$Bo#J}jY?dMj^h%3mO}Cm@>@W6nXP=* zxT(!S)dUU+980_LK(KgP*j=fWyW~~|Iy4dJtYNJTuJmOl!+FG2KbSs<=10!^ZX_%r5DtR{t2M^%6Zln{v1W49mC2fwWB z*4;P5eaR6FOhRnz_6Hr9@g{n3F9PeNFa0IsY-IOVW5Q zc?0ewXF9b|PvdFbxVdro5OBWD3%%0J9&X1ZEMA+F$r83NpdFW#t>O9N`hfZ!$qE} zaEBX!4zO+Gdv0PT0Rp|SB6rFl4PhSK`i@tvu#%L}9d|h21-wQ1X`OMIp!Z%vUm6Oh z1?$b>WELM)OGRkXU5-@oUI-bq0+B7rrzF+c5s6+Fl*bm+dVIGIop&uf%*(z|;G=GA z@8sK4ptz{jz!d@9Ox5~h5quT=yp3L-Y{BDc&tmYsniN;?myVT6o~ zkvD24*3pH89nW-?q$=8~E8-CV#b@Fh!2$#c5Rg1sEnc#~9b(tsV8NCUM9z`2x>}+c zDO!S%K?zK^+vnk;<=cjUhXqoyuq&LNv4ffVWojaPU{!zh`=HauqLtXDo;PpB!XkpR z8i;3*s9R}fyx@i63?&W|X;YG($0jqS7NrBccdgufv8Q_p zIY9&<{7&t+&=m+pz>61Kob5cfe<8boii4f3f~(nvG;b68OzVTkc`+0%N*R};Pd#{< zh+LA5G$B5XeRQ+CER7ajEuRvlGf(GI#?QerNO+)K1IDSYj4k<4@A52TpQU9kYSf)lm-ffK(6ZVK=M7hR6p`g}Q-dqt z>S#pr_`N@F8V4uiFoh^KPm*SmhR~dbaie~5HgktmMK5yiw2{7hPOwXo!g1Z!YPE|k zmYVL#*cV2ZW#1S)=b!<@tF??~x1c(K-nF^|Xx6HJ-9+;ViJ;;x<7vTJ-7~IN!;Oz1 zd>mYmc?a>=dG$oy%i+O&bld^o-WyaIT)V9SyUZYAi1JeKj3L?YUfqGmFCCZ}2ZFE& znTQSVg_PfRFncet_bVuT+(NNSe@FNWkQZu%sprzfm1D2jnZ5&NRS}CeQv@eFAQFDQ z<##DUf4~_-eW$I-@`{i~3dyv4b3S=YJl_45U9|ba-wt}E5_=l~Ck~^^kn|!n;l(v9 zu06v^LqQ9Vp-e)eFy-!)m>~31e*9X1dne4uZp@JBnH{$1uJ_y20{o%WyJzG@*q(XFOtD#;@urW z|Ea5izQcieXkiRP8V9>Y<@W0%PIw{w`x=o68z*nWb*x#*MzKBkxY2Cf_`dW_Z{ zHQ>>}dhq^ZABLd(0-31 ziF-+3?kac?*lPv#;)?@MMMCvw6#*SjP%O)Vp0q8=*_h0l3J@koMf@Nm8GD!5v0 zSR+%S(7LUK&+~Ojz2xgZO`Ue0D3(`FVMy%(UaziR9(4oe7OmMd6y<&IZl}@eN_2dOY_Mdbl4yUSaLrGKP?-MygR2W~>`j=m=JgtF)Ur zc|>^Zt4ww-4r#M-z{3<|jzjNOua!_JuASaEt;U(i6cRjn={wCHvcho+iM^h_G$@r` zmF#bXdip+Mt^art)f=eoK0{jGWMVv;{76!*7o&^FT^%~s$0=!qALu&uC>tDO5We)o-S}=W{>$;Ep`)O^J59j4a!^`m^VdmEU7f7@ty_$diL1s z+QN{5N`6giuz>1E93D30z)F;afiJK&FljS~GpBiv>ooT)-Y(R}f%>|+0y=9xzbE=( zK;K0e^bPR_&nV;o##~&?pkwVhkMp=v(~wn)fPEzC=sl~t=VejygeC%Q2l{NN4ibLy z|NXQx&b!X>J!@GdC+W1iNTLvX7VntHnY>L7X5I2iP62%dqo}uc5GbW8dbfdz7FcQh zdt>zUg1}EG3ukdqeM+!lW$r`*>}px%I!B6%rWI0Z^nZAf4E5wC0#y>2>#vb9j)l=B zRcy}V?azaFqiu<|&G1bUC`eWTfWh@F-TS+pBe%_gsp3*vHhqJn(^PL24pWk_eM`Pi zu5nv)${>j1g)TNvcto8e=0e~Y`Bf#O;WxbW8ng(X^IO{d8F@!pc8jMhBr=egCzlmp zB4r35XsTp}-=m&Olz;zr?ff#c`~W~K2Zz_!$0Zx#PW~56oP2+b!o4ymz8#&x?-^CJ zQJ6po%H{xhIEqQCi|}noIa8_329+eUT7<=TDsabb;<3JUR$sG@CVEo2E1?v>L?z0v zzGP|%4E}3KGv%IEk+f!e!QVVYV)NzO1P_YZy_R_E?;Ya?b%5YscgX(qOt@yW9^gxKkz=@!-KpC^0aI#fD{6ZCNq+212WY=-g zr$q-YS|3$N)>6%D%InY_JmB;}mWaxAx381@35WaRA}QkR3V~c$(O9IU5FF4w|3DR~ zC_5D#-WASc*a#x zWW5XVcJ8ycRf-xQe3?>rlHRWN|A2LFACm@}&=Jk%@WeIc3upYe6~k+fLV%Lx=5 zY-?CFns#<(mo{))kZ`5goUzroLz(Xmq^RnC^H6_QWsHjL4ZevuQ_M)(8E3Q9rsiyB z4?L!X_)vq-lxqi^!F}OW@>p>4ty%DNQeR`d_3Nfg-L_#xRBcI1&yF;XcDwVks%|ASPb98M;@o>y z{6wGJiu2m$UwHLb)3UH=Jbm4B-wA9If1T@^A(|TzQm8`_vFGB?o29Cciii=pp0SPR zorp)h7YbVRb~DE(k_VBqe&9c~G7kJjluDhLO=PBQnrk~i^{xw|y}f&or&8`rL`APz zC&Ro^vlzmjx2b^LYFrf@q{M9QB6r=OLECj!vcg-r)wgH^9yzP`UN#>H!<#)bhcv>=%@x8EF(Q3el(0-5Qj``MPY=sQ|)xct16t(PjWHqu)lKybY- zKaZQ;_PTK;QP#2#q9nf!y)3Q2H2Cq*5U;GQwXD8=5gX_GjZ+e|!I?g{<Bcr)?MrJ%{@qwGU{B@Lh0z1Fx)XPv^ zI?cEp+E*|VB`zMTV&VJv^hA++4~3?v#8d)huW`KLrHZVQyo=vsD)Rh80n_Io1=465 zXaI~|7&tpXVYuHGJRO%#p}6EU%pDLdGJ_e_8vC|YzcX#oruz&)BUy$icJ@Zp5byJE&(r7zP$yfq>dF-r0(J5;zOnZ>x&%9()qrvwf z)rFS>%a2S-B(DQDGd5Psw#~NJl08;1SL_nR> zyuae1n&7JyX5c(^Z0qi11s>#^{n;*$^CNYw-@!-P;F@`KbFZwfI_P_*r=8+4WhLnw zl+-pR)K%*WdOb>w5%yV(7b2D0P{Q}kTRbx8B}&Z$jU=g>`kkKs9%7UOykA~+2ADvy zT4D1hPnoX5=m2bCp73BXOk3N5tjzoc>4OePY}x_ex-^||hcOR0z+HP(O8;19j=3*!bs zfz`xj5QJ$^^8Wr;&#*{WW^LZ=gXb$zx+xDCGI*oS=sdvk2%-nFC^%iL)PYe*%9RY` zb(pJf#BJs=%V?h_+3F7mq9@Nk5ML;ER{9v9&AXVZqZg3Rz7TA1_jlu+QYxX;o0BZ< ze@-05B}%vCWpX$vbSdLjCh8k-wyxfxHN2ERP@{{VPXRIKS*z3XbpU%Om-|tHv z+lsQayHE4j3ZEsZ@{L=}(Lh}o z_``oT3UakCb(|#*SzGXyd1O|)UVBTg?;Pi)mo^hKE5F6BN{9Bx#aelq=&x>7*!331 z5#ZzBj>-Ie^xefh@|X&4D_Ecs=E7y7EE|S9KLB0zOXO}fJ~|3~7eN6pD~rLs%v9K2 z^V;cz?9|&apKHJld&o9{^wvf1Y54yXipu5rR81hC2AMc`sO=x4I-E~?wV0}%#)X(A z-B2hu5WhPdlR>_Vf*tOd0wo9eUpS~61vFK6r|}2VW!S|twQZ)W?xK1^0!nMw_`Xb| zkvET^snU%pToc|yq7$^^xQIdxNG^~f4Ukv9fA47U`{M>0sxKQG&!OCU1*_*mnOr2l zk2|H8IBOL#gDEyN*Ar1jH#^LPtR?h`c+u9oV+hFSJHHJzR1SNkW}I zj!JqBKsRvdCh31ZM)fWRhw-khE$+z=os(eb@_|KghFLyaSDuTiIh2eEWI*ZWpeZqQ zDoNYlLsC@f85q7s`oXjhjg5(KjXR#Ukt%6Ceo!(28T{l||9&N3{wZB|f2#wUFWJ=p z7`aBz%Bl*VmL~4xw$o0B^bij#S>JmwYj_Vj)Xqa`ebK?PP~C>;jNkre@gvgApr8BD zxS8R~y^W?%Z%p0y`Y#VMuKTdE`h2650qK#6YS(kbA=tIGwQkUHc!BfW0pWnmUSDlx z#K7p(M-NiELusNRpD9AYOqAT8jkkz1PUydV!Ozdxne@v2?``0+cR*n6>$#JibM8?5 z`RVUp$i-cFr1WHJ6B0$5Eo>k`;XNo8%+F~Tkajr-9ctBdbOr;f zL*T%8j7DeK@<sSV)dJ(vS-A z;yRCZpLjznnc?Ya(@`hz@2?Mk7g-$ffe>br$-?y1)Y4CX2LqUQd=%#1y?N+H_e@-Z zD&phczu=d>-&H$wCvs2Jdhu&ZuX07l##+NYBOhG`Y`^p8T3RHFk%AD{@kFOGA3;;z zkdrKXXC{GD%?%zvYt>zhm)F-zFAg-dN|lx^{bV6K+Vj_01EBv$wJsYxX+)mA(Jdct z=_^;t?+mj3og=u4_>(HvFR{OV-TOZKxBBH?rNldCrK=@RP?@jET5rZL`)q(y`!qh@Dd93Bx!@zs zBu%h>2Ocx>#f8Umf8gV)8-BiFSn!9Q+Xf3RjYq$Dzno)YDtdIrb+$g0jFj}_%z0@Y zC%s;gAM4WH^qH??MiQgsZ}}|JBC;W<9$88l#IH*C7so$d508%%png~T|G7*<9FlhH zwTIDL+iofh2E(it)jhrFA;m0>Aw-oqjONus(|q!)(dFeLs3zzKyMhj0hVa&}Mq_8ypD9G*d`hag#e^=@5zC$%ZN@gK zH9Xo*Rp;(T_1rJ0ub32wWtPGYnEgnSz55sobs-aT!~DgxJM&)<9>G0Tw|`sWlKwsr z439;z)0LZ(;|;&WC1Y_=AZK;Ol3ulcP+@s)2hpXmnwG$rcS5U#fUt9q==qIGGWM2_ zA(vPG+zaUc_qOA?*C!KH!13|1W2qduw9Y}_KK-Hl=`PMqF~jv3kXr6L$kyKhsf30@ zZz$cKDTRITd`-Rl-sa7}&?>M~Pe)d~fV2hLLWLBS)Dov(b}iYwDqpCCKWt9}#VjRt z-@y&lBYM@KO;~*M9WkAm8x~SC+Gbsz_WaLWa}Z?0qRLJ|(S=9xhN0KGc6@$K-YNPZ z2F6Ng7Br#<)_qo(Wgb12M}ZoNlnX4)G`W-W&q+KpmG}*d^W`2L{T#1Jqz)L+yM;`z z+3EBaa8t|Qf?j~W;=?QJ>qP~@O>L}&(Cdi0#>{18A2DNU=lp1(!mrfrv)A}nSa=}< z)wW?9_4SD<)!hl_tmG7VH${+5#{QdFzYC8yyo9ewOhZ?=Lg&M<3FAPS0 z+{-v6q`A47@r2G+8brxmf9}AVKk&Iqo*C5X3LbjzFjG^8E=9;(+G(TBvpB^wd_YeQ z##tY`d}`6rNvHu!42A~YT6Fve@{@~JmoEr84K8{}f;DpQ=6-4k^NxOXLu&DNo^JiqaeH5dz{VHw>AHN$6fvr&na$8|QdQt=E0T-fYjI44c!-G! zdUzVrr%w&cci+#y1^R`D&tCg#^3Vj@ndq(ACQNui8sVP5b%0kND5a@&u|=hB=?6y#oXlKcNws$Z7fYIb;?Y54S{)%q78 zVjafAgRkWN;Q*J68vUV~VIG9e+mS7Vh>C|fr2U?!YYc}n#=!N~p^D-)o9Ag(${`*L9nF4H^LEJi*{IUb*^{Z>swh-yA>Ah&- zFRjN$LDbfa7|OJ*9Oycw0JGZIgg7Q%*Of@vqIM&heQ}_9av)Ln%6aBJ<)F+SDR=-m z?t}D|6jPUiM`&dB!S9|l|NKjRjSHP9cE{K5m{><3brR}Zcj~@?l%iV;(S^Q;-!1Sm zgJSf0rNrE^6a-(q#XOhL{_v0KQYMHa9mX z0E=dL4g#X6Sj$|Ey4WDO+8VE^1I&_H4b_%+=at)<#{s(pM_-ONzZjnM*B!df$Lkm9 zr(J3oc`5%ehV=zZSkB>bY0{=7E9Q)Zw&3zmo59O>8A>n&RoPO+d&R&I-UE7@2P{)M zpoYwf61i-!*ZL>Hm34eT8p_)^6=S@LS{S zXsTl-r5rLp0UqVLPf1~aRtrixXa?gCsM+;E_(-`wFPW+Q@@Blu@yD(n}uqKzLz1mJX`wPutsor z=m?&>sD*_ngVzQETnnCYXXb#OzxXLky6Gy|NC=z?YctFJnd^em4-rTO@%pU$XYSbO z=($1v<4aHlBH=tCd}lLfc=$SMFt0e!J)ykCbSiS&wc3xfdD>%%11cM5L()sQ8UyKoS3DT}{7yVYR{e~V0 zqD~v-Hl2m%wBgZlh-qCZ8F#@$*pKa+LBBKiXMOH?QSEA;|BiM8H3~P`MlN;9pC9$G zlJ;9OjBU0z&$~RuKtS#$do|T@e#>3%;c){Cti5-3y(w$fQ8iV!rcc8X!N$p@AMncS zW8?hO?eX%RGxl%TabJ<*2yLzpYlTJIo38$KLe#-JpeeUzJBHK{y&W)^Xz+XZjto5D zj(g)h{%6LS#}ENzij)`&%)dA}cmV?;_5+fn_lPn1R=#3(fW^t-_-F^n4p8i7bVlwjyPJtzPD+rZBl5?7j!R7A2-W0rp}y--IRgE^d>bY?F_Tr>y{y))7Q5 zN0{~Zu@7jBjxYYCtBVq<&3~|eFkusSTIfk-GcAD-DQhip$UYZ;bE9r0C#q1X1CgBY zD(#7A*vs6S16?p|6cS2d)TDJljTZnkl)BB<*9a}M!^G}`Z)TRSvD||QZO&&lckA`& zsw1V9)~MT7LE6d-=;-SXH@@&;%kLsEMu_CG%#R@@@6C7PsHCt* zt_=rE>VqQVJ5j1He~&zE2!PAkAEN0 zaxkx7BZ)INOK>*JQx^lpU4M3UfiZTqv!?N`D_P+7v{Uk!L&HU_!s;HfXb0_pKjyCR;gRMoTtA(y%JA~KW z+}s?AW9*G{RO!qyl>d~`ny{>8dYkb>8Mut^pXo2py|TMBk*2_;IxEofJ3rT~^MR87_(T{|{nj69wBBmOFG;y-O=zo3x9OWz#RaGUCac|1u z_e7_hgoE~$@37BJi%0*sY!z#LZD3jW}${2yVOrt1Iz literal 0 HcmV?d00001 From 0df80ca0c86f0e051b51fdcb8c8b694fd27b50a9 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:44:04 +0300 Subject: [PATCH 68/98] Update student.ipynb --- student.ipynb | 40 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 40 insertions(+) diff --git a/student.ipynb b/student.ipynb index 55fed340..82a13156 100644 --- a/student.ipynb +++ b/student.ipynb @@ -6481,6 +6481,46 @@ "# Show the plot\n", "plt.show()\n" ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [], + "source": [ + "baseline_model = LinearRegression()" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train score: 0.4219222881153983\n", + "Validation score: 0.4199230132032204\n" + ] + } + ], + "source": [ + "from sklearn.model_selection import cross_validate, ShuffleSplit\n", + "\n", + "splitter = ShuffleSplit(n_splits=3, test_size=0.25, random_state=0)\n", + "\n", + "baseline_scores = cross_validate(\n", + " estimator=baseline_model,\n", + " X=X_train[[most_correlated_feature]],\n", + " y=y_train,\n", + " return_train_score=True,\n", + " cv=splitter\n", + ")\n", + "\n", + "print(\"Train score: \", baseline_scores[\"train_score\"].mean())\n", + "print(\"Validation score:\", baseline_scores[\"test_score\"].mean())" + ] } ], "metadata": { From a805e33475421d277d670d1fe16db5acf710a395 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:45:13 +0300 Subject: [PATCH 69/98] Update student.ipynb --- student.ipynb | 480 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 480 insertions(+) diff --git a/student.ipynb b/student.ipynb index 82a13156..88a09a8c 100644 --- a/student.ipynb +++ b/student.ipynb @@ -6521,6 +6521,486 @@ "print(\"Train score: \", baseline_scores[\"train_score\"].mean())\n", "print(\"Validation score:\", baseline_scores[\"test_score\"].mean())" ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [], + "source": [ + "w = X_train\n", + "k = y_train" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
constbedroomsbathroomssqft_livingsqft_lotwaterfrontfloorsgradeyr_built2345
44381.042.50277060000.02.0819930.01.00.00.0
153531.041.50248063830.01.0719460.01.00.00.0
68451.042.50232078000.02.0819860.01.00.00.0
181971.031.501930110920.01.0719830.01.00.00.0
21981.043.754490349820.02.01219980.01.00.00.0
..........................................
116041.042.752640350700.01.5819630.01.00.00.0
123051.021.50114011490.02.0720010.01.00.00.0
55511.022.00106040000.01.0719141.00.00.00.0
8891.032.503000253410.02.0919950.01.00.00.0
162471.031.00140087100.01.0719480.00.01.00.0
\n", + "

15733 rows × 13 columns

\n", + "
" + ], + "text/plain": [ + " const bedrooms bathrooms sqft_living sqft_lot waterfront floors \\\n", + "4438 1.0 4 2.50 2770 6000 0.0 2.0 \n", + "15353 1.0 4 1.50 2480 6383 0.0 1.0 \n", + "6845 1.0 4 2.50 2320 7800 0.0 2.0 \n", + "18197 1.0 3 1.50 1930 11092 0.0 1.0 \n", + "2198 1.0 4 3.75 4490 34982 0.0 2.0 \n", + "... ... ... ... ... ... ... ... \n", + "11604 1.0 4 2.75 2640 35070 0.0 1.5 \n", + "12305 1.0 2 1.50 1140 1149 0.0 2.0 \n", + "5551 1.0 2 2.00 1060 4000 0.0 1.0 \n", + "889 1.0 3 2.50 3000 25341 0.0 2.0 \n", + "16247 1.0 3 1.00 1400 8710 0.0 1.0 \n", + "\n", + " grade yr_built 2 3 4 5 \n", + "4438 8 1993 0.0 1.0 0.0 0.0 \n", + "15353 7 1946 0.0 1.0 0.0 0.0 \n", + "6845 8 1986 0.0 1.0 0.0 0.0 \n", + "18197 7 1983 0.0 1.0 0.0 0.0 \n", + "2198 12 1998 0.0 1.0 0.0 0.0 \n", + "... ... ... ... ... ... ... \n", + "11604 8 1963 0.0 1.0 0.0 0.0 \n", + "12305 7 2001 0.0 1.0 0.0 0.0 \n", + "5551 7 1914 1.0 0.0 0.0 0.0 \n", + "889 9 1995 0.0 1.0 0.0 0.0 \n", + "16247 7 1948 0.0 0.0 1.0 0.0 \n", + "\n", + "[15733 rows x 13 columns]" + ] + }, + "execution_count": 119, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_intw = sm.add_constant(w)\n", + "X_intw" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "metadata": {}, + "outputs": [], + "source": [ + "model1 = sm.OLS(k,X_intw).fit()" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: price R-squared: 0.605
Model: OLS Adj. R-squared: 0.605
Method: Least Squares F-statistic: 2010.
Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00
Time: 12:45:07 Log-Likelihood: -2.1360e+05
No. Observations: 15733 AIC: 4.272e+05
Df Residuals: 15720 BIC: 4.273e+05
Df Model: 12
Covariance Type: nonrobust
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
const 6.248e+06 1.36e+05 45.958 0.000 5.98e+06 6.51e+06
bedrooms -3.418e+04 2300.737 -14.854 0.000 -3.87e+04 -2.97e+04
bathrooms 4.541e+04 3685.584 12.320 0.000 3.82e+04 5.26e+04
sqft_living 134.6878 3.685 36.554 0.000 127.465 141.910
sqft_lot -0.0739 0.038 -1.963 0.050 -0.148 -0.000
waterfront 6.071e+05 1.99e+04 30.437 0.000 5.68e+05 6.46e+05
floors 2.776e+04 3554.094 7.809 0.000 2.08e+04 3.47e+04
grade 1.343e+05 2254.597 59.571 0.000 1.3e+05 1.39e+05
yr_built -3604.5959 68.996 -52.243 0.000 -3739.837 -3469.355
2 2.458e+04 4.41e+04 0.557 0.577 -6.19e+04 1.11e+05
3 4.773e+04 4.09e+04 1.168 0.243 -3.23e+04 1.28e+05
4 6.359e+04 4.09e+04 1.556 0.120 -1.65e+04 1.44e+05
5 1.004e+05 4.11e+04 2.442 0.015 1.98e+04 1.81e+05
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Omnibus: 7150.736 Durbin-Watson: 1.990
Prob(Omnibus): 0.000 Jarque-Bera (JB): 86958.778
Skew: 1.863 Prob(JB): 0.00
Kurtosis: 13.898 Cond. No. 3.98e+06


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 3.98e+06. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & price & \\textbf{ R-squared: } & 0.605 \\\\\n", + "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.605 \\\\\n", + "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2010. \\\\\n", + "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 12:45:07 & \\textbf{ Log-Likelihood: } & -2.1360e+05 \\\\\n", + "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.272e+05 \\\\\n", + "\\textbf{Df Residuals:} & 15720 & \\textbf{ BIC: } & 4.273e+05 \\\\\n", + "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & 6.248e+06 & 1.36e+05 & 45.958 & 0.000 & 5.98e+06 & 6.51e+06 \\\\\n", + "\\textbf{bedrooms} & -3.418e+04 & 2300.737 & -14.854 & 0.000 & -3.87e+04 & -2.97e+04 \\\\\n", + "\\textbf{bathrooms} & 4.541e+04 & 3685.584 & 12.320 & 0.000 & 3.82e+04 & 5.26e+04 \\\\\n", + "\\textbf{sqft\\_living} & 134.6878 & 3.685 & 36.554 & 0.000 & 127.465 & 141.910 \\\\\n", + "\\textbf{sqft\\_lot} & -0.0739 & 0.038 & -1.963 & 0.050 & -0.148 & -0.000 \\\\\n", + "\\textbf{waterfront} & 6.071e+05 & 1.99e+04 & 30.437 & 0.000 & 5.68e+05 & 6.46e+05 \\\\\n", + "\\textbf{floors} & 2.776e+04 & 3554.094 & 7.809 & 0.000 & 2.08e+04 & 3.47e+04 \\\\\n", + "\\textbf{grade} & 1.343e+05 & 2254.597 & 59.571 & 0.000 & 1.3e+05 & 1.39e+05 \\\\\n", + "\\textbf{yr\\_built} & -3604.5959 & 68.996 & -52.243 & 0.000 & -3739.837 & -3469.355 \\\\\n", + "\\textbf{2} & 2.458e+04 & 4.41e+04 & 0.557 & 0.577 & -6.19e+04 & 1.11e+05 \\\\\n", + "\\textbf{3} & 4.773e+04 & 4.09e+04 & 1.168 & 0.243 & -3.23e+04 & 1.28e+05 \\\\\n", + "\\textbf{4} & 6.359e+04 & 4.09e+04 & 1.556 & 0.120 & -1.65e+04 & 1.44e+05 \\\\\n", + "\\textbf{5} & 1.004e+05 & 4.11e+04 & 2.442 & 0.015 & 1.98e+04 & 1.81e+05 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Omnibus:} & 7150.736 & \\textbf{ Durbin-Watson: } & 1.990 \\\\\n", + "\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 86958.778 \\\\\n", + "\\textbf{Skew:} & 1.863 & \\textbf{ Prob(JB): } & 0.00 \\\\\n", + "\\textbf{Kurtosis:} & 13.898 & \\textbf{ Cond. No. } & 3.98e+06 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{OLS Regression Results}\n", + "\\end{center}\n", + "\n", + "Notes: \\newline\n", + " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n", + " [2] The condition number is large, 3.98e+06. This might indicate that there are \\newline\n", + " strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: price R-squared: 0.605\n", + "Model: OLS Adj. R-squared: 0.605\n", + "Method: Least Squares F-statistic: 2010.\n", + "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 12:45:07 Log-Likelihood: -2.1360e+05\n", + "No. Observations: 15733 AIC: 4.272e+05\n", + "Df Residuals: 15720 BIC: 4.273e+05\n", + "Df Model: 12 \n", + "Covariance Type: nonrobust \n", + "===============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "-------------------------------------------------------------------------------\n", + "const 6.248e+06 1.36e+05 45.958 0.000 5.98e+06 6.51e+06\n", + "bedrooms -3.418e+04 2300.737 -14.854 0.000 -3.87e+04 -2.97e+04\n", + "bathrooms 4.541e+04 3685.584 12.320 0.000 3.82e+04 5.26e+04\n", + "sqft_living 134.6878 3.685 36.554 0.000 127.465 141.910\n", + "sqft_lot -0.0739 0.038 -1.963 0.050 -0.148 -0.000\n", + "waterfront 6.071e+05 1.99e+04 30.437 0.000 5.68e+05 6.46e+05\n", + "floors 2.776e+04 3554.094 7.809 0.000 2.08e+04 3.47e+04\n", + "grade 1.343e+05 2254.597 59.571 0.000 1.3e+05 1.39e+05\n", + "yr_built -3604.5959 68.996 -52.243 0.000 -3739.837 -3469.355\n", + "2 2.458e+04 4.41e+04 0.557 0.577 -6.19e+04 1.11e+05\n", + "3 4.773e+04 4.09e+04 1.168 0.243 -3.23e+04 1.28e+05\n", + "4 6.359e+04 4.09e+04 1.556 0.120 -1.65e+04 1.44e+05\n", + "5 1.004e+05 4.11e+04 2.442 0.015 1.98e+04 1.81e+05\n", + "==============================================================================\n", + "Omnibus: 7150.736 Durbin-Watson: 1.990\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 86958.778\n", + "Skew: 1.863 Prob(JB): 0.00\n", + "Kurtosis: 13.898 Cond. No. 3.98e+06\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 3.98e+06. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 121, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model1.summary()" + ] } ], "metadata": { From f8cf79a94b06cad8544c366607b92f4396485edf Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:48:12 +0300 Subject: [PATCH 70/98] Update student.ipynb --- student.ipynb | 84 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 84 insertions(+) diff --git a/student.ipynb b/student.ipynb index 88a09a8c..9a1afd73 100644 --- a/student.ipynb +++ b/student.ipynb @@ -7001,6 +7001,90 @@ "source": [ "model1.summary()" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### the R Squared value increased to 0.605" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Model #3: Dropping multicollinear features" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 15733 entries, 4438 to 16247\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 bedrooms 15733 non-null int64 \n", + " 1 bathrooms 15733 non-null float64 \n", + " 2 sqft_living 15733 non-null int64 \n", + " 3 sqft_lot 15733 non-null int64 \n", + " 4 waterfront 15733 non-null float64 \n", + " 5 floors 15733 non-null float64 \n", + " 6 grade 15733 non-null int32 \n", + " 7 yr_built 15733 non-null int64 \n", + " 8 2 1 non-null Sparse[float64, 0]\n", + " 9 3 1 non-null Sparse[float64, 0]\n", + " 10 4 1 non-null Sparse[float64, 0]\n", + " 11 5 1 non-null Sparse[float64, 0]\n", + "dtypes: Sparse[float64, 0](4), float64(3), int32(1), int64(4)\n", + "memory usage: 1.2 MB\n" + ] + } + ], + "source": [ + "X_train.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Create scatter plots for each feature\n", + "fig, axes = plt.subplots(3, 3, figsize=(15, 15))\n", + "fig.set_tight_layout(True)\n", + "\n", + "for index, col in enumerate(scatterplot_data.columns):\n", + " ax = axes[index // 3][index % 3] if index < 9 else None # Check if index is within bounds\n", + " if ax is not None:\n", + " ax.scatter(X_train[col], y_train, alpha=0.2)\n", + " ax.set_xlabel(col)\n", + " ax.set_ylabel(\"listing price\")\n", + "\n", + "# Save the plot as PNG\n", + "plt.savefig(\"scatter_plot_matrix.png\")\n", + "\n", + "# Show the plot\n", + "plt.show()\n" + ] } ], "metadata": { From f4696ab4499a075a84cb2a34ffab7413b24fb15f Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:48:16 +0300 Subject: [PATCH 71/98] Create scatter_plot_matrix.png --- scatter_plot_matrix.png | Bin 0 -> 367892 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 scatter_plot_matrix.png diff --git a/scatter_plot_matrix.png b/scatter_plot_matrix.png new file mode 100644 index 0000000000000000000000000000000000000000..bcfc015eabb0218d8c259c6610d5f9cb9260b68e GIT binary patch literal 367892 zcmeEuWmJ}1*Y1Nzcf&(>3rM$wfCvbPf^$6&ZX-h+oMR z{3Y!CP|NwL{Yz&zqgQ4yWg}+?8+&IPOJf>WvsX@*_IAAYgzj;3&{#M-J2;7OaoPU; zfqV9^%(?h0s!PC4&>R$AIKf~zM$jLGLdgP47y=CTNLEV2J$-xLBf-@21@raZ{9ZIC z?|t@n#bu>wyU0~$xhNF4gm?}H`xdq25nsp(y72bDt~lcQ?Pg=r8^*4Zb=k%t5XDKo zur<_3vdqG(cwKDQ&`{ivG-up=;j?&p+SC8_8{=m--uraCbgLJ_1y5d@%g%Yz-)GBM zZ#nhJlz*zoii`L6*Ko!Lia3n!@2~6*e}Y}v|9ts;L38{2hjiHzOF^Q4UyG+k?a=-{ z?C-Ba9HC{E|6DqTlJ3C#pKCV}Rq6=-bL}w#^IZ7fmxlfM|BwB*ss0}t`6BG1%i!{% z*!4kdkKcv;jqRfE`gEoFK}qYMlCu;08&|RO-Y4Cy7j8G$iwBg8uNN=-7dwCSy*ss~ z0Q=q%agY)gW^u+XL4Y^x%Z=j+8*9YzJL_;?7hS9`Z#`UXT^7cAIv5bZuunNeN73d{f}jv9pS7Yg0)1cP}_eym6G+VOIG@Or!DdSLOQ zd9g!h;gA^ipjx{t(%{k&2NAE3aXWgg!^h4a5xAffSR;g;sSLx~K zL@fS!TLN&~q0GzP%q1*)cf=9C`P#+vE-qiZ)|-n~99Z42{IvZ7zdr>+jw_urJ5T)n zj2=8QIDY0nzoj3_60x5z*okZx%CHkK$H^Dl^d$l_!Jm)khe%8Nushn$x z-obscQDy5l4-1XZ8#P1vdIBFCO0T zzL7T*U3OqQ(JuXpt-aT*b~X%FyWq+0yTa^yr`%`98s)mtx*C4HOnr?2+b>=GQ|dkv zpHa2rV{rKP-4bu+IcD)VTL6v!Rs$k6HMpM?bU!+{1Y`#1IH6?;y6a^u$aRBHeZ3#*`13m%Uz&14pV^%2tgZXPQATLvZbON+ z|4k>eL`71e_oSQ8q>EqAQRa=e*vfcgdEX77tx7!inlC;z1y&L?{e(P6`@_j zuY5hp>&FIv@O}Rj_`ylI^yl`E5)+BM|BPmK7f4=NULH{2@GM;Z6kLrF-JLp|iaFL? z&r8tK)eYLaNKQ+WsnD7`zI_hae}B%w(f^1XgNffAt`dkpRs}!bKjrl`w0bNW_wSPf!p7O+#U~$y4xIhnnJn*HC{6l z25i4rvl)HImHfvmGJBsbo!YUui+uY(Opuj&FbvM5t7dJRPO8hhW*4tds%N*3MPMH^ z*p|T-Q0&&PXH;jppwjLaJ@G-$y#8Hqu&LP!=kh&>^rGSdyIE-X&)xKlmFB~j0CBJa zZhHr|l*i@ss|HJFx9LcwX+N0jF3kI+GP7%4^5(pH)_V~J*6A4KwOfw@79@FMA{o+p zHQUb(R8>cl14IdD+VyXG*fNS6|Rh zWp;C@uQp~*2i?1Q%e)rN#kXEqFZyjh&D6e-z?6YKz`a{Ixpg*faP{nVnWeQ0=(9CE zl9I6`%^MHTRwb`Zw33iuXTWzkJ00f+3#5T(TKvP3nGt?OPb<~^~Z ze%F^Xr(2@sl2^Z;^ysIlzG<4yuWQO*%+z@wuRE} zAEE!}HTxV+y>{uu=&DG+u7A^sZcnXuU#;$`Bb3jYPOjD^PU|y#1%Zu?dZ2~!d6Q;_ zhZR!SwO_^cea3_t&I&A?54i1~Ic~)VrKF@(@2#(|mtWMG^u(0l^@{-&4=G2dR&u7oead)o1I@51w(syU(H1qtsd6`#K zrTJi)kKg6l!8}$H@JyxuVo&H*7Wc6hKb>4baf?Oyxv)CaZNKKb?<$we+LF7X%L=hi>I{|t5D`S=zZdg58H2A z7ssirti1AO1BM7i{zq{88e*Nw3~*y!4(wfG`~H^qBYgCB3Fl@X=YZ?xkgE=4P{++N zRt`?iWqRs!)a#%2*T{;j7O5cySK|i3t3u>4M^K1UUrhD<6;qdM%m)B6`M57*7=$rP z9E4j`YrF4xEk>R;@A<&|i;7sAc3sLv!wMb)AHauvAS?t2dY|LK{IXj4h>)4vJara( zBLrK@@Y-zy^=Z(~YtavcPdB^%0XoOMdv;!#(pmln=ZOYwZhoh3Zq4EmbWK0`%iB;S z_Fvn^I{x`>IR|QD-SLEu+ZhLx`$_&`+KXWJxt`9a8Ha@48#2`G2G>6fR$4B0J7jRg zgXD4$W^14Yiyfs5cE(Cx0Y{U9eK~j~!*Js7W&|Te*pcjRd~$*>|rGcb+L-@qN!!woFb5sxBH0ay3V98&qc>T{p}S&&hbT>FDbZi!J} zLyqhYo2kXcsKK1@gOopJQ<6CrV*5UI<1Ag~NeQ(7##MB5|IZ-k(Fc?VvV2Mj>Zq%j zFXPq>AY)Me{sb8n8|kMu@bil&tiddJxaw^~{B<>LXQB@v?5s^B%SvoTdnpvSj)dBA z_hC<`&A3ckHMXZaxI&gbx}F%MsOzoH#g}o?3TQHuYOGpOt%#ivVqZhpm`fyHk^P|l zS*^5ARr5THhY8^o zKBt&ULeLvE)IlyLLUE+~q>7Q1AhMB#50wFmzh1gr=W?9X?-U6@d5i6b;SYEf)P6VE z|6%oHN|lOW!MhN<4~(BZ-1FDNc&@1^Ko2lHMW8OFfY!Ht{l)?=5|n`ZR?`RS1Y9Hk zT93)4xDZ%7>87#X>=X*8y^a=IqUfVM0Mxw6VC%0w1yX%`*v}KjRnGiV_OC8om=g5ybmD;KuJX@lIwNWJpRIML|;lH+;Zu{3p zgh7|k|LetdsQuEU&}n%|8wP+e!4lvmimbBX{&DCbWo^~b6)m4%IB=$?3ch(1{HjZ) zgsgq6y24i(ylA1@_i6#-vWH-Cej*-W8eeS2q4(4kCP!TGwZ`%us5Y|B;@_(qOrSgPxli`Vh=q=}1$JvDTVNuoML20{hY`Ha zHgCVLoSPzBN<<&Vo1VcHdmK&!c5+ys8?q4qnPO{86_#wn$!dy5S;TZIcfqFDB-+z| z=0qHi2o%E8DhyUtr2MT4?UWq06DPPxgyp+T2qM_~ZlwfNzCgl<MW| z2I&Ffri1(3Zq~*JZX7af$RfPbY^bb8Df2hyX(8COj6rMTD$wKSZ&xpi672ES0koLI z$vnPrw!raa26bG$T#Y}HTth>a#s`YrlcDi6ghuytVmffX}k z3%gr?fox$aE4I1^&=|gct{1YVeooeKc;p;?(wzSlEaQ z!KKIhGsQOe#@!q4RbUBH^lZZQvMOBWJBisyec#Eg#%9slWtV3B?JLEb00gtV&6x(xc55I^esqCUXCX>*v0~qcxZs?AR-^hFQeY ztS&<`d9+yx(xm1Vp{(sft6qVi#EYD;PZ~oIGrM`lTB1!je-~5+i|?}k3iF#Iu78L5 zE5?Kn^4ehV7CQsJYudL^t4j0gE3;6~*!-E;Q@T4a)FPVPAT!sSb$bx<-)Yv|^?Y(m z>o`G}TAU)kx4s2S!}`bUnM)K;-8fif_+Db_1!k?g$Ts%M`aT;Snx3;xchn)p!&9?I zPWk)eytf~}^{X=54N^&WwOSLt z{6UlW)@c=Sr_FBg)NRxvQ5cnZ&g<3j=CjN5%o|||z?ZD9bVb7a>+6MY(HQ7Tf&pc5 zfFdTHy<;YAoQFrRa)dn+{orG%!|C%{j8eYC3p^}iQL*6<0Gv~%2kPdHN520!0`I2u zd(UJZ&q)3wAdsP%IMcSzUmYDw(r8oz&IZNRm7nxXo2j~2-qN0&6J(Z(JSIvCd zl=2<%;xYaxRPL~H_b&Fhd{)ekFY|7T(e{_!_OeA9?SVKFVK?WJH_S;%N&8-{r(P_? zk?seP2Hrz5Of&66{JBN4=?dR9%Jq2ov9R)ujI)T_xEUlF!Yxd1&8KF-Dq&SpH8qwl zhX%rM__;KjsWeR#FSxAU-BvBY(khu{wyuF<<(pzy&wGjtu^{2EyB3N?%ja8I^?MgB zdmZ2fP+@ha3tk6v>k@7qJAHk9XA65*`T)UatFkPaP+yQTF)?{w`$#K%{CMUC=e0FW z6)7I4v*M?IA&|jdXI+ZwcastsW`fWU)9v%mvc^@XRYXdFQS^Lqy1sJM=-ZXTIeoD2 zBP}`{d)hmufftf>>S4MH7%uD_weW{V>C4+)$htavo`;FKchu+{XAi=&v{@yJSCMOW zS*GUJY)IV*Z3MO<$b4<+ov+5f4IuMOyHH1~_~(Ewxv*@Lc0R%GG`@J$Y{H|_hhj$q z1YsSf77L*$?*pUMy{V$ruwQd|FJoBuw%7V@)!IEGh8cQ#!nr(pAH!f$xX=Qpe6inH z$ScXnPgkn4X|psuzc!-60EnTtT9r+Ug@hxS{*YEqb`?-v8-{v1tPA4yUo|88vh-MY z|IWHtKiEoD;w!DDr4khQF7K+*sd0+Z^GvI(z6R}Vp(p@q4$5an=%aHD7hFpBH6jF@ zmB||}!-c;NU`@V?rcGi%%ea_ZU-_QG3z1Bo;bqaqh<{)Qg{e6RCK54GvO0C+byVNe&4K&&HA&4ie3Q?>Rwme*)TXK#`1B@j7lG~Yb{Bt09sfm&*(hJLSsI9CKeCFt|rA#E| znHS7J5Qp|*>p`BON%1yK6jCt}d4>rcc03~4>hY`Bu)ixp(aQpW}dhDgB80^E^oS!(JTAZW3EI^lO&W=3M#Le4cqC0#Rkr=>#LV(Ao z4W5b|%HD<3O|!~tBDn+goN&$5{N*)WGHJG|K*F+k!L&(!ny}8->rcFTk&@-tfHCA9 zDWEiWcF}s{bvd1RMMg|Ql4S|^Js|PJ8@D?C5GwENlZxDT{{sSP**8NzOaVdJ3MB$d zCN=9W)Ridy8H+-YPj)gvwEE^e)9!c~caTz%i41Y4ESe6SbKX^-lO!L8PsK?R;jk?1 zGLjflIreXuCdq6V+#DMmAWH5dlKTn(?&xOk=HkZPB_kwB9UY?@7tSYkZA$dW)Ar#z zP#|iJImV;`$`18)A;D5v_rYhrGagZS;xzlMylFBOG?4oM)XezhG^l%zVcwVEJsJG~ zp$}U=oAXiqR|r4x$Q|2#aPH|fRQ)iIjEr>e5nXtll0r7;*hA@cO_|@@op@#XQQ!`L zcO9(-srmjYX5w3{(Xra59yUgD-*nn|^bB6_C@r2DWg?oN%Ys?tE0L3Fq`Jh6A<{y)tW;BEI;a!*{Jw zeebwTtgO&6Ffh($Td#C3=NGRiVPB5KntpKFw+VW82>$l=&KuLxJaCOElA9 zzxVsz9v3T-RVk{0OCR4iqzjmwJ0Ov2MH!2r8k$78@#lPy1^`e;^^vW3 z8e`Fe1k^cS<5#(xDJLDq;+^jXCqKs@(Cai#<%Vh}JMfS+xuIEDyz*`)%RB{i z4HkX3Av|HevpCS5TAzyqwBQ)*v{pN)@&yt5x=tNar}VL;d1qo7l?;f#uNH5v&dz!y zV{m-;10m*e2}Lq&@8)`M@7(=GH_oXPu5`?fwe==EA|_m$eL+>TBxhPhl~a`4#rC6q zPM&AjMQasIQi(_Wm$B7n|3pv!NX=OQS;UUfDuwRL#qWA&ZqEt%Wklh3o5P=7Mv*C} zrG*etAX+k2Xy6Q^zs*Ps!MZO&ExWxpdEup6E{H`1UZ1zyaI-+)WZbs}r?w9%Tc{)N z2aG)$mG>FRQzG&dRr2m#VWxH539{(EJM=$wT7KwEwA`$aw7UD#)6OW4@_m0UF66pU zMfV6PS3^PlwKi{v33+m!2nSIg`lh2m=v%((yCjs3uWRvhqI-;f7hx0dVEQ?rW)*g(^vqQ#L-4Cu)szlHf`& zTXA+O(zlNVMS@)0P-agi>i_0DJ#sL?uIQLm^}hYhi9KXo_YOZ8AV#eh3oJ#J-r()% z|J88)mkMH1f2VMnS<6bcFsW8Q7|9l5l?6#P_{4cD@s zSf1&g(zVs)>Sa);T^5-ymzt@GY2bPj)mBr`k6soW?}QBZ4Pc1>q)bWh(2Ik-cfrWzBkOr=L`~AjDs}#@)AHB3}hMQ6eS_!ZCHZ4?nK}%AxOF)d){-~Xa!58Sg zy!<_P)`iOOXiA{*J|*zYuoj@MS?B*fmj+J}xtZ9V5Dws-L~sfQiF zOaYE9m9R3*&Y9jk^<_HJ1^O#TQ`>}$3+l+W6l&{LGtmIqWVGSc*NB|b6RjRoXHYJ< zgAIUJbmaTB2RWoABK4qtbvSXDW?yvq+nG@3i5aVQ+n*H5-%bs!s?lM$Y4wTkVZ6?6 zPC`2b1D7Cr7zTp|3H$s8NBkEeDs(f=;n~rkO9Ji6)=u^FDEjz&Oc5s%vD=0&sSRV= zJi0nProAE7TZPre>Exr22yaJQD6t2|^#2Tiy} zlE5#@-`uCs>gcg$OxW`xQIn}W#bzi4Kl@BPs^J@h>$lLb&3e%b)Bbm={s4d=C~$ z(!o>elTCUF@^9VM*_xJe4dMe*b0Mz^gvo)%So@@ZVN*2s0rwij<)8}(Bk%lc6n3hGvK)w{tZx=_J42ySZu=^1Bv$%OC}2yzv>o8NAose3@HzW?Q1MkizAL z-aNv2N`&H@-o`G38c6!EhoaAKFlS;c804xALvDSWSmllr5`(>Ez%R>&J_Ao==_yvD zx{z8zKc($v|9vHBqls!Mbl}rY6e-$9w7VL40E$pyCtWwjX4j|IRqw*zE6H~ z!w#g**qx`#&vOVfp5}@J|n#d zv6q!i*y@b5j;^{-+5iY8vJ2!aMb-%sMnJsfCL_A^Ttb|tY}He%raKIPd7&V;v?Y@L z)j;6z7ZYsaa|ehqoTs=^X2Q;X`Ndxo1Q)1`I2yPU{jq;7>rapup$Tlo6@(2Oj1?XjM zM?;-+BG1|Ts-;4JWdtN?-k1~)m>5_Ta)$t_c(~5!x)KkPdRRoV;8`HEM(CfG{C+qH z>NXyuai+W+U@YfIWdM<3F~@x~9d&T@vyI}( zbKuB4MWz!fdGz9EWxDKpNt?90HzRlMah|hy5XVrmX0N@dt6E#V=HfIgqN4hZdzxrX zUP#DsW;Ai^D)}8S*$z9UuM>bh((7vw`iAzu{vg)&Mei9?yO->sM9C@HMgLCcld|o$ zu|>ff?NXwSYAk^FbY~xw60HKpKY&GigBI95Ix5=n*Y6A3k@Nr+sbff$Q#d*E9!>9|XJG~}Re?#PWv;-zay0Pims^kPU|&q> zLzo!z*#|<7_N02o^!eI+#VF8s8amOx0P(e-L+D6nxUo8^5DhX!kBU>W3fem%JQhzTik_gY%!<$>jy?8ym%vkp&HVq!VceMsok=nA&m0HTrnteiD%Elar} zKFTB>eS|x86AG?Hc(g?LNm;93JKY7|G6Ei-XCuV$D&HE6V&3GE<+G)^b*F$!;@Daj z>!#)u1QhR5FiTSuIM|weB=5z?8(yv+rFiLtMgkk+$BHpCEM74#A_nXVAnMSRM_uPW z@TuHQ+H4%mI+=kz8?CBXtmp<@GT#ZHIIOp3%M72~N1L2jc17b0eNpgc+a%Iy5`2z3O zn0-*MGSWd#l?re&nNa{^YwYs*HSR{%a;N$uCL|q3090?*7o~M!Cdyb zFJ2+y;la?b zJ5drGKab)i*-9=J8gkKZ1U9?gs+qxnLGRT?4yp8>ZMv`x2)9YjBeCcTIKZ9|*+q}+L@n$3$CM$=Z zV;eGQ@Mu3P8NM9p8vaE`F-uWmJAftGmS;w-&UU7TK6&48!-H-~o;BevNGm3jkhx9< zKadC5mL*!HFpVf>L({(L5bdHyqYXGHF#*;eC|~a9VBS|7a>4qM9sJh(4r%!zs~TM# zdT?57(xl?Is>{2N*wpT63vGJ*bw6PKpWMv}4)ywhBZ|ZAU0sHKd$B8+?~)L6rQ7{u z0!*YQtIO(f$Up32Rg%%cz25Jr^V2%^aE^NDsZB~#{BU_lzGJ#w^SG<%LC2G&84<;@ z<`bvUA=UfNV7IX(rP3o1DHy@n;-#16lnZ^Ju6S#bW|c9;`+Ibc%K5QClL28 z3ZJVNdVRIsr&-@Q!Jt8NOVi86DJMj4vT_z!vO=O9a0?dj=TB5#d$LpYH5p$ms*l2Y z1XP_lg-Xi%^skd3PWxr8@b^D+Srbuja_^|KbryY5IcI%v%J_VSy3xz0EF7ognS(?ZSORaOsR zk*PP#+IW>i2pH;a8gf@X9gm4CXBGnwCNF)*W}fmmi!-!r*%({>wx8CZu&Q{5d+EFi zbq!z{;C|-l_FmNa;!2%OA!Sb+$K-XkwVjr7>*QRhz={$Y-f;1NYmpLL0y~vEP0i7?{fGu?Jt_f07>A*j+|K9xU8$jv(3T>T(~%Jl zOfdEV?s}}v?oul<`^j>3aU`}9s}XJ58>C$9G<}eAcMVfTfcFb2!M1(J&wnmvq9Jr} zf3U>w$;WUI{K0(n&4;CDI~EiyEx(6N+b_VZaJp&6K9z$JzcgBPgvp#aLp&P ztI&er%qY#XwnuxC{LBv3#DJS~)-&1V{cBP$&l=1O&yrTjSnSOg>pD+7U$B7j?siO_UAUT$@Pz z9+Ei&(j|W!pA8vEGZmhB7M=+v-T1>SXe*e<&x4-FeV9<82?{dWur?@RB)81R?VO%c zu5;=m-MI_(<=MwS)^gPWhEQbX5NvNrh$olDB!VzC?d!ZBsJ;o(iVr41MlkwpTE5V7 zk!aH)k|os)af2Nn2rf7(y|#IFI^%E7TB+BM-x9f=+Wvw0*+gKGKY zh^XMV7hq!+zBZxbi2ug*U6c2{3noyUYM(eTEE^pAq?`5SNkhOpyhvI;F834X=xc|R znN*#hz?QJ&eHx4UG=iG71?m;nAU~cQSpZAhj~|4On0o9Y;ah9NDqzwx%%W|eGEjp> zNP&@`MN5Eg^cHeHq@K>zC(pgKi}(vktv28zN=6mCGHghL0+ZeInD|v4gz=0dAuSg? zIIBU($1%Vmu`y&O!DMv=0MIB-ATG(I*=0OA&UR|MZkHy{FEc4NMT8HbtEbni%Hx`& zj3AaxKHCuOeUW>|DM$|<4&RkVy<#Yqd33qlTlE-LqyO^J|lDhXR})JR8!DFXYgM%HvpmXUV= z%DVlORfYmn!2zHLA@_B|bll;0``*>w`1dGv9-Ksq!Z_MuWyN?;EXFFJZ9znvN^Jb^<**#`{|_zLzT)3d7uG5 zz0y6OQK{a2+I-ITJKAjBHMJ5(ni@%!W6Z!bCwaMyg9v;1^5s5|;d=JOdL5S-L{Cq@ zfPIm?8kNK{wUOofldHb3i;JqdZR7jeCAgHdbr49Wz@ zC!Y9TG|1eYU?XXXlw^9sr|G~1+L37(o3}GXw%%g-Ov&;1tWna{Tv|qI`TMy@%b^zH z`n}ry#2&biQwugy@N{u)!ApzxskP?!#txP=lOQ4&z)RY&5pv07*C@!#(?B2d+nWqb zn^@ieV6eG!x#GgcaPQt9z~>C}=Q|(9cX|5rl59d9aV5#t?81#_kcI*;8kWDMU36$j z7Q#>*dd1%Qx8`k)S<3-BqMGInHApUHGAP_`#EVa`iz9JH10)pC_{p~Xo14k3K*rU! zxeROd1WQO*8CfsEDgx+vZJx?>4APihw^@*iIK$NMU`YnrTCsSnJ}pn5{btDwcB?Rl z_l@U?an5@D)Rl&VQi3kQ&eq2-H9{P z$;rV*_YW{5z3?rYd;IIYivF8iWpR=RFS>!;C5wtVF#rh(2{`a}^6Y(%>CSDXrBN|3Q)C0{&z`?KT-Q@s3# zw!MpeO--7Kn^h+~1lvb1dTIw=uVxR$&!>?p@3&W*iZB*Kt9HFcTPLTXlt;nxS=KMi2zlzyU6HINcs(N00Q2*+Q zqsr)^o@2FZ)Z<7AXA71FWM_-Is*Rk97`4NX8L{Gpoby{-byjeoB111j>k*jPTs_hD z^1Z46f*%3|NkzQ!iP;@Zd(z#7?_i`jY*Z89unO9?U?e{m9)G}=u+;t3jz3@^(6a1m zjFAFlpB$n5rUybRarRLj)y)jCs4daz9 zdhk}EE(yDDsA43_;it5|irvc*Fy^T4K{#&*EnSlE7L;v zjpzpmXN*FMzDdQp-hgq(|E62QTC{oyq?LoRRcXjs%^!)Wb3wX6V=gI7qTmoT$$g>U z;q2MoHAm%o$(lEW{Zyk5n@JHg)PdA!8x0{Qybm`@m>Wk4?4Hy=UpM_Tqtb;LQkJ9b zdQ$cDK$~)M*RP-{#(KhO=e)^I{8JSL?cclwVmzbQV6#!3*AXN^7y0grU!Kh%myWKK zWMe8VrC6Qyv%x$K&@YdYGFNw*T3ilM1_c}eTG19ofF9E|61a#)*H-E~h_gTW_I#@DEaU!zTr9>4N!K#bR$dgQHqLFg% zv}-(I#p+hrM%&D!QLIqKS)M_*lXxCdW*MhQtISBeNsC_AOC$Od^3=Has*9{8Z6Tkk zfb(D1w$Zz5+JNv*vb16CfBVvSuzrH3#<{#)e6cirPTzX4Af?@SK2!spaZoPLB8Qd{ z@F=dy#-GqYw-X ziEP=jpM0y7I&Rhs`LVtmp}wdw@#UT1aKY6J=+sH`?$xSLH~He395k~=fF?_eTL`meuWX}}g6ly2i6vNHeF-}HN+POFu`*sA?u zy-Zuhl-?! z;;gqN++wM{pz!-^P$)gYdBmPkvW>x>C(mc~&v?xEr8L3nQ*o73Niomk=oBF>i-|Rk zobmbQ<)xVZ_2IkKTEB~0werb>0Fow{!KsTuX!-SKxqjmybe`^=-}$?<%XP`vSnoA@ z5UQ$*5Vl%lk zGV)DBS=JI9pHqR8JU7VgNM-Tl7TReZi*hYOdOpWlx zXWFqWC~yjtHZSWKaTx0y;&>N z`WMKm7H6#YX^r3jR1+67qBt@E8C7qEhqAy{&+TBXo3`*7m>4uOQ1L%d~8YR>!0=7u=j*4n-T#wE<+o zHzWcPJ`R3*kmgAnLe78Tzhs`L9H*BI>s{Sy#u1F|sW^=?J?4zzdy$#L?o38~{}(CAG4-I>90vF0*>(#q+tqZ%VV9YV zLkkZjnK>usWr37cLl#|yM8@BhNxC=rvvxo^Q%gr3)8T1n(3wrz7XGP~XtK4jrv2`n zkN3f%RoDoo;+<6Nx}eidFiQ0&(+`GgzE zR|d~A9LWe#^b^F}v^2S8jt@>cY~hV4W&P;UDh_qv0HX8gauM-htFDLBm9Bh_5;n^9 zg0aj504y1$B6B>Q2u{N*T4zv?e3e zQN#Ar*Tql02gQJ`eLu=uk$mnIr_MHcwQ4Qt1PiT@j%Z2XY4xW@;wNK>p&`m z6u3SL=C^V!-lX|_z1au2dG1Tw_<)zK+00%NMr|kcjazh^nUb<(XFnz{hcdUW zZb~lCv}5eJ8tqg`QCHU{N9&VkakXM77$*+9t1B*FjuR7a(K0C#M~no$MNchj8v}HW zOnU1~J7{9%O#uE;AA*Sp#uKP?R-0fKhl0L9*J z(4JuG8Klig@M|{MMG@YqJI+U^=zGBaed1>bm=v)+Bv+$rh%&yIYN&td9coMVi4(E< zB{(q=_VlP@Sl2a9P9PgPn%EtmdASxyg*^Nf5*ZJWfu;lufdpKX2yMZXPx*r)tD|F9 zFw3K55#kX{)OJEkaIE~N9{^AMZrd@!u|U4_@1=P zH1#j)^a1K$DpKe`W!7eI8~$~tn8VGWrek`Zv&rih_2wqn^D~uj~2Av-+0| zne$zdBzPgTc8xnVoVD|QK$-*u9)as(>%w~W%-OoNun86hllpd_EGnZcyzI5F zHt~SC#cEnSS<01XBYy2zl;cWBrj&?QQP#j!>(%McV+aJZOh10~cE0m-HQKT5VKxh% zmQ7Fz#t>|f$1oNC8H9Vm5Z@PWK1e!lcIbZO^jIB1^4pT|dG>=r0YH-j_o#@fUKbI3 zHl-FdcS+$HUV3|g#J1Ap8=o_3iqzLPmdrDi%P-U`5Z4FZcRbcV#24H180>%!b~`r@ zLg({t55t{$51!s0(Mx34JaLPYrT;+i1ssnkD>eCS3dzyrp)(e;zoc*+4T2p*T$9^s z_`WOEfhJOeovN6KM4m}kD+zp?HmWj^YO_U6F^ken6&9mH0?w3hi!XzzKbSTlC?a06 zbf6y3=OaKWAK$=;D|JN2&D6hX&q9ejD8@){rT6fjSpmJ;}>bpKwOPTq_wuc$g z2)9srX+TykoNkJktvMuG2Xi!SM{rmKquOEiXy|?SXV>I8Zmw@ZK#OHCu76LPTba@y zc@zwjwQ<#rfGVBff?!ZkQjnG?SA$!VYa5_J)}xU8t;~|R;&syc*`CsJvc-NOP-{}q zP9ga=(8n#tKJi{5P*q%hBTx0qv-N0wP=*yLkMLFm57nEK7THyca)fQ}5q_*VfAvX; z--6zkC6}%~Q8jerV8kx7u!aTE#Y&V(S?d_{j32C<`2}-2f)7$G&am#Em`l?V;OE;t zD82T3%L*Vp0=EldO5E4Zvo)d4cMI(8$8z?l-W>a`^!LERS%0y8@T z5W?#?^JDrD`Hi8 zrmOXH87HAiyxTl`nEUHg`4(I;0|_nshi8yByL8TbKfN;fxHuM%iJ9I-p=6dBq5I2V z0@%2qZ`~zy|Ce!gU2RkLZ1}GJKEwGwi1lo>>dE=%qTyySwlvzDnxo3hT=?p370wK^ zN`=fRK_*+=(N`(j^OtireGi8D@ye3?vEnfwPHH!PSd6V})+@u4WuG;W z`~}IDxd(2KS9$EcV<55?*Rkq%|M;gksx#<9bm0J-gM;J2D4+M$q@TFN;hWf{b>H3f zhJ{n;*Ge2bl{|iW*4TO>>OEWQLk?TY3Z-iI0_txc3ZCKpnb@87obDQ>^mIi{e@bg-|IV6YykjeA z6~P~9fk302Et|c}9EKlmHC=Cab=C2b;iV!7ED6|`u`xpE7b4`S7tQVS)Yz^C0Mst$gR*VM6vI7 zO@kT-yVpd_VRnFtvFpggu1Yo5DTVt8lHcP@?<599N0{$j2p{}hCpO0ihYkTrpp>NB zS+xClZsFb}P%)fcY9*{<}>R8#mXZ(Rp+B# zw>*Zovc^Ce} zt`3`|Qp5i~^*dafyf~d<2WE)RCjWSDOGSGnKqHSrZ9gjQztse5+QP{@12Td={_#$X zoker_1PSV*-y)mFofZa!9qSD#&x9+~(E+stxEG*?uv}xbrFgveM^{kt1az)WUQ7%? zF#r@2PYHHsc0jSvf>AZkgk){0qEB6pO}=COO+k>si$6Mm$b&yPcj^QCa(Q`KMlC8R zhynwL;~@gBaON>g^kV=Z-dRC+SxG_;0M-YX#rd~po!BQd1B3xWsDQwjaSg-VuiE%w3Wnw8)(c0!O-#GEqM4!<5$pI;5 zzX@c9qNlVCxoGqa)MWmej6`6xU%hgRC&3yOc3cY)C20=^AhD2>>9?T7p4itiT!D9=WPiE~y)zMGq-KgI(OdqTU;ht^COQI`}Ivn*2;y47! z<}l;HSM{EjbO`uAer$Ut6_IV-?!@U1CV17V&dT8b`ySgysU^P05-FJjC2R1PPoxMX z^!sOW%y5C2$Qhh8At9L^ayI;Iy81OJviB{PGRnPsHN)7W6`O&d>$m${kChW=u5!-` zPgZ`Nq;B|lDkJ}E$s(Apuc#W{k$y^R+MpQ>7agpaR>5T;YnS~}fvJ>4q4a;aI_t2i zqORMc0@5v=(%lUr-5?5ozPoWO$T6ZlJ^jco>lVT7`zCT<`0l)S|7SjF&J%d)h;Uf2KpEl47wgT*JFP zLp%k8V;7Vc(VFt4!pU(#eT9T1_FPO30g;X_F+Y+VSIesFrLcN-7D&u-dEWYT;8Q;r zjV+mcJMkScNK3}#b=iQKF1$aRcx*^(xF1e2>s_|`Vu)}EM_1@)RU%01{^YIMCsjFM znqeG30J}--Cktg~H#H>l#7JSN(q%F2a_a#!PNUQdZxJ0!t$YZp2*@ zw{{s`Ae?>gZR%BERAjna)P(2)5&@v(z{7iB?rl^FuVxZn%B#0C3bZ8vzPt{t-&Km& zDq(!DLe##{VGd^+Wq$x>!T(Lm8*Bf2G*mZBn+`k3?%T;SXKYpv?EM5w^&0#WTJ}xd zJFwG-FCL+glE>bsYcltxyTzAaV+4g#r^tQhosd=bitCCMa)xkKNKuVL$>gryL}yyv z&~lgFP3G6SGD1-#7&-y?Xa&)~|5`pET>H)$C3ki9A%qS}V-ZcIz{GM=BLxmZ4S$?Z z+`g_>0W@Nf@5y47X7DIJ=SjhW$f-e0w)MwKi!y`hrH6H~g2Vj{Q!>NbIzrICu-4g} zp;01ZHm()mccyI&U<%^=Yw8LQ%FmEsZ4oa!8@v}FVVC8%&lY71jV+wy`nYYyUs z2LgSk931H_+>-=St-mSC4q7X|LLxrqmRiaL1-7!-4|9Rat(f^2Xof^FU(0ZOA;)sC zA>k#V@2CM`0h7>GTTl*pHR$#18C(f8pT?B|CeL{eS+}&vtxA7?|8nh|oo*59lnu|x zAIhlZ(+vpBX^~X0(ejkv!;}h3)D-ONkqf>0*^VW@%h$Ul2&HjTj0vwhDHDi*!YH&g zxMs|~bEqTWEPNDWl|+cch2Qv$0*-4vgSs(&DJrBCihhETQ46KRyWSj)QDzVPEiB)mwd7*=3{!nq2hD(HMos=dD z?KK)r9HkR2e0+;zUSCa2-UrL1585^DH7@^gKs%g`aQrfLlg2BEQxz;-@Xfiqyq!nY z56HI!>sWS^3!!F+w`QxV)xqi~b0(E&QG_6>I9OoF zaKLf&cU&9{wj^p01*79ANC820T=@uu!tdoMB;eEu%}32`8uPAd35=>|@6ht`sOjA` zSX$Ag2(U2U(!DB9-<_5Jm*NpkG|J!2BFV=PYiDzbWx(}k>rDFQqVPUdSf6XVPKiF1 zk@4C3F4gBXiI6p%(zGe3j0}czApSV*>o6V)tQ>wN07>)hzxybJpjbmq8Mx^B-^4XE zP`Bh^nJ@sBm!LR}W)080je>Gpk`i)pi~@^VHPF+X_Z))-ZP}@``K1A?bD{+|)}e(O zRM6QGs@RbK_GKi7he!E}Y9 ziI`F8?n=CIT+QrZ+R8*Sd$KRkBm|q>+3kX9k>|er%j*Jq&a;2WvO=|j%-G%AB~Tjs z-uLMD1(Y%p$N&PW$QPpx#xfLS&~%DV!EE(z1qNT|Vetjt zV58OeoL9gOpJx`rh5Z>mH|e)3XQ1hBy=m+7PW&Y6Scy9TwzCMgB>W2pY$rJ+n=X}t z+;8SUj`fdbyb*$O*Z*blZlu{P(8JNkPKfuOf69Xcb$xmyQ2|!IB>=IEpkU=D1*#)i z#!u;$#o8nWf2oJ`9YlaSG9lhaCaKKg%H{>OByzg#@2JyHZ@^FBx=-W%JCB~6pS8Y$ z{TiG~EC@l4#DdVlazwi1RnEG$a9X+B-+eyUH%9HAm4JnVJ;FvHF%&Vto=K7qNDko5 z1yQDm3na_cvI+)EdE-aQ7$i+=3aIldq%k4lpjfJ`=3{+rB-nSSCP7M5m$WYC?r@_4 zNTi@bQix>&MlzG6Kvg7dnvqjA&>`&Qct=0`UDXa>zGnY}?_bGiB<~wB5=D_k3`+gp zt^-<{6@krod`}l@06i(#l&AB=C7zr9J{Vyf6}y1nFq3n0~oKys8x-}KT>TfPq8c#9iU`Y?w(!^wk zDPQHfiES9y>Q6qN9SdVlte!mS&Jav!0mQ^h2}nL;<0}F^vnF@_x!<}yt4*2WvIFLn z@%h{uLcbxup@GobjCDD8YwKG^d@3xG3kurErhP^Y6f-3>moDZF#;Z&f5b%*WkP0@hyrsVpM!J|lwrQPwyL zEboP7llWwR}p=w zx3Y-~0d9#2gkh3%BQT)@K5Vkumex<;~(=qXFhTdub1KfCw zh*1>I7*eFthCCF=X550HcEcN$%B%bNC*e?`OURK0 zj`8PI8S_e&3kg1swl8W6LDh_F1JxHaygKQsJ8&QobW5!Z;sz?tim}MJpw-ehcgu^M zjk4iCQByc8s?+vMWsHljHZt2zmg*SxsaDKTD9B&l!c~XZ+?llf4BN6V#Z)6yr%Hjnb6h z#e^+`a~q+@+=+|TPl5_fk$GbhJW5pH%AN-zL&jC?X%Vn1;tlO0L0sxmW+ou(uM{-R zefdyf+}rr*%{oaIW1%+_kJve$m4{`S|AFvE&JK|rg2M%epN}?2_$%t`7gf2e#mFCs zp>iW%_7aOw#h7IBvUYlZ*2UDk@{(8s4~xYy5APTU3P8rRLpeH1$`M_Yx*|!2|BX#~ zrT0gvAwvGvk<{Izq#Li({uImFFb8Hfu*>kp9jC4&IoCnM9WX(tbES&n0ha47pcQ_# z7o=KbJv&iTvpu`}bYv zE%u#pUG!BHptu0Y6PL4zSOn_Mw(TH zQf`qJm8wb6`<9-*cLP6t&UpPextPmTZk7Yk?QU)iY~Ij})F;y=J1}EgGJHsa$D*JJ zdhU!`YDzwFYAcJ~optMu|1&rv^OXr7x1m(B9B{i~P)$TZM*AyL!c$-=p;h9i~iB2YBo)zRtu?t^eGj=u=nrlm8!E`7B~Q5vD2y2*;Yy z=mY&8tXaW!H8YtS+>ucKBq4XY@yAk~-xE5Y^E1Szo{h12f`?b%cdY>zl$ayu#@9dI zCU*n>5za#MeVFAg2nSpjwTMTn|JKzs?&fe-z+nb9?zn7Jk-y(_i(Wl1=QcawYPC$} z8TO@I_-Gs5H$k%pj$6R9#1nodbwllydv3RFHa^Y+_p*HdTcggoq-Xp`aC#{qOog@woxqKcznY z{y=*sSX782-V2;^(dVO}#;g$%gbTDzlY>hco7}39yuUw4HI~Q>aU^X~B>CGCB{B$V zJr%h|8&*oo*#}#7JODoGZmF-5MAMd*z%Obd+2kxt6Paif4#Q=%-WoO)HWlU>aZPKN z?>1^*O}9f2F(Z5LCjOHm zgeYZ4+;_FfH!hXT{AbN;iO}W$xitEgf+GD6rqqGfDNT_t<~Ddi6K*@%q8hutHgrZ7 z&j`eNfSO4WqS~+Q;Xr~MUnoBHMS)Ih?{+$=F%kraYV#<=VZl{Y*O*GI8GFB+LNtZ9 zu=p3&U}&=<&=HB^vuayFOW}q`+8@2EsY8Y*Tyvx)8BQd;bZjkD5Z&$rK9u zM1LzHpF`h^a81m%bz_Nb`o1}qzkx$VQ0C0ZORZOLL=>Dq;0S;QZP!%j4>~Y$W`Wt( zSp-z&{nlG|MyZAvt_mc1+C;sPI7WoGwZ;u249B8erAvdi6((XIv$rWjMww#{ejl@h z^Pxz6lsbSIK5_sw5x~@X4vSL|`slP~L!vn8;IxwcOLpEdh**}!606Izuu0LrX)Imq zvOz?D)98=<%@*+Z{LLv4)b#W)K(36BUCqDLDM)a{6TA^0IR8Ww1(aq8Z{MZ|@X6{w zdGgNQxH^y30KbKl;KJBmi6u~Tf^-DS&~=#wkM&3#Ups>Oex%A_?<6!mvc>nVIp0#( zs{bfYXxO(;vyT8M&L)mw;na7xPpPk&C3(b}r)>&D?QoWKvS&Mo(IW^EpKx!Cl zoHfQfpq)DSJr}DnKWjt@aLRzDI?TPD3_n!k@UgZ!$J@B+{c?bnUfWnjYU-H7q1?9! z<*OM7GoutJm-PDht4MgS@S!8XHW_?@f^lC8Q)U04eg#y|4mQwj2?TOaQK=2&w{y2- z&Hl$fo++rYsz?WHk|W#{9H7BPRT$_W96GVd073@z-ESqT0VhDk5A_!ydh~6?Nx?!! zvqS^@#ggUfBOA72N<=5Fh}UIzGg)w)Ps0G{L4w}Cc2oL!W9bSgp1~_`3%&BCn2_$F(&X&=|d0@#6}IpgVmD=W4GiYD*t>kA-78PT* z<6D$y+)ja=^rZ*`g>1JKs=IZG@?Qg#O2-Gg@{^rMX!Ba9r1tWG#BCmEBH-CBwf)V* zo!UhFyB0My75INnMMztFR^2c-*+;Ga8~C4+3!z)H;s`lO*EHy>b3*%ivv2q z%LC*!9e}RtnaJF8K+9g2!pH+1ArO`2C1dOy=0->=b1?k*m9DcF|8OrBFh9fy(K3i^*MIF#}ei9Z-4htYA9eMZBJKu4f-ci-M+rgFu;MPh@ zawfwZ59N?WV?idnPODAT`#*leWu5={4gVW%4`xKJca5HXh@}>hjT6^=WBMT1YIi%5 zJ6VBR{LgTFKrYEB19V-jZ*eft1G$4XSrZULYl>|b3-Tw!SEk{Coj{ddD<3TnM?;4_ zS^;1SjgkZu)V`Kl{=_*b^^iB`Xjnh6Gri3`YZTpt70mk|EF)2)_fa_^xQ_{~=Xuso zTE2I6eneu#_gzyUm$i5rU$^|y@A&133ve6OLopB41;VKR;NBuPF(RTEurGxrvP(gZ z`V|r{8FP+aHHJCX0h@TLZ0t8&yEi&g(HnE?y+P(gzymxP_9LG_BN>y0wH6$EzvmO| z9sr<~yB@Pt^)v85rwmXl*)SRko0d)95>JNiEfnLB(R4aQ&wd+}dn3}{xCoj_3~<)U zidN>d!V;msDHC+APlE(V8^*bn_|z6{roJgBn;aB zg`}XEeyN-BPU?iUs?1z z>W1Q8(*2?^uoxMAhoTBf6x5_^bR8t=2$DkM(MqUipj=y>@m$gD$e{fAD zx9DKYOcqNncan8S);)uank&}M<1$_Qg$fe{#2~{CbD@ad5H)4g1y?TtzK3g}q-2H; zHmTLwt6G3EN(EswAfh?gw(P}kQ@sMJ?_8wvz6Zok#3}xwqHQjWmHsQ|C1c+4_U^B$ z3+{PAz%K=f4z;t5EZvcohMB!v8oNl_{lXdRt!aSrt2{^D_@dW4KUN{wOJ>qX_2Js- z6JT$E$6bXJAmegunn?Nfj9d5c`TS}kqTOusJb^hB#C`?z_vcc(eK%ZMHetPd$n0!| zG7N{eFTJiPFRwc3y0?DNEuN7*t@**ir1CjFzwji1#?+vG=c8SGAiuW1B%43edR%(C z^ZU0^a48yT;~uu&*?Eug`d|Yzl;h2*Y4hE}Q4h4+Ep$0;45j;pL(%(up6A=?eyl2O zHg;N-4W$;zs9RPQq99|Bjg$=kw(0UojN$DIu9B(}AF5L2%Y{tB7o$LX&v)chaN%<^ zRwuG`t<8Mt7_7s2=ovj5bxI!);*=KW4MLRvaiJ5M|8t=$8So~&oV6*7FsVyVO#ufE z9Y!e(b8t>8cxVTrLZ?-e!0Mi{Z&ez|0&>NGFuW1d2WeME%1S`Cz7b?@*{7=RwtkFKG|oGn0opO5>YjQ6=xUZxSQbK zfn*{CkoTaz*cFlcuTSN!cmI$kdv(5yhb>nI&0sJ@&)>gDi-4QH-1a#2)Och}J&TrN zYa3_w+?Vbh!?cXr7me?tzktnh!yggCF^mQ~y1!hvc37vNKJ6bV z=ox;K1n7jLIoaLTZhqT~D#xgd9|1O0O^@r|mHXtfa6sc3=2nO&8Q1kn0k0p*^3Sn& z=-!q3{;?3#D0>|oN!Z@IE|>Py_--(#oHf!7mjBlp|6LBa6{*e$hS%h7FFd4bbrvC2 ziv5ZnKjRnD*LEUsk@vX_x4FU>`nrUSpAMn!4{+v2^F)C8Jmhoe zj49bd2TT69$#U+Ipo3OE8lENIyRiXNYI`UEd>iK1M!}4XM#{bW#8*<^;9QegVI6tO zk#E-Qs0>N~j{YbUykKY!W2)6}&?&v@-~q&?IMYv1Qu&?W0lS{j@CNA+tknU>$>_ts@qm2dY3ZI5`SqTnftd$Hd0W z_K2>g-cBjQ|dfA!d|qBaRSc_B|WK4S4k5;(yccJrLb^E~w8`KIZ-Gw@kb|F&riP z${VKi^IX~$DCmBoNYfEWz=l_?dv*KWjzZg6BWTV7EGhrkD_KGmi>#oxc0z!PhxY>f z4*tfg*9y-zdC022CY3%*f>D6HZD+@nc&>uAL2W98>>Dc@a__tL@d3B`!ew7zz{Mjk zB^Yo#4+>P$>q*DuPSEJ7{}-dxWFJ9rr*H1_-O=u$B2V4o>y8fURkZoR4)iW(S-)kJ z0k!UgTg^47WRg_TbK0GY#FjU9?>r!zC;dvE_4V80 zh2C&2r7zt>`IE=&%{5+Ai zA5vL%!HS3YjA=rA`~gRs#wb~U<{K`Jypr!7Uke>qHI%Q9>bdIq{kBE5+4#R$C&K?U zIwBPS)~SmsQo++p;F5f|7@cF#CGz0w^DVqtKmtObFv1t0k>^qBkImfCQSK!@XF-NT zm5nzlWC4{}Np83~5g?Y;rV^2@3na!w0cIq?jfB+C?6F@7#QSbBFZ37_68=pOwaP=t zgMlKEZ*`asOyjODVgUM?k=LA(Nvi)FH>6Eer0QED*Yp}p1?Dw%?0_jQl`y;Q7R z-V35R=!_t5u&uztKqu-XW@LzzR}AM9CIfF>7&3L2)>KxjLrqZI)4n9I9e^wi+>|H= zqMnuo$akHj3PwduXhbubuT>JiGl6YiK}M)~T8dMK zcV5H3_h&U!=?gApCnpgCJU_gE0}TK8RSGp}@K zGWE0z(H?&BspYTqt)B|PP6N2AeDOhiaazBmK@VX5Q}L)1ivE(iT?0W`NqR=Q1AE<9 zY@I@w-q8vz?2u^K4gVm2V{#>G;FSmHa&^fgk7v)FP6GfejEfW=lh;dlv-|>f&Q6GN z03T9>SHaj_f*0?lz0smCn_yAnJ&>2j6FbVL?+UgyAU}fWC&DTUh&&wJHtyF($Gh$x5 z10*M9n@=L_yPy_G+au#-n${DdHq0{b4MzKVmy#t74UJ>yNFM8_r|5)c6GJ}{+iDL; zgwghJjdzhl&1$$QiPe83)&uhHz6R@1mp(`xe@5GE&kJ)r$9xdV0xM&B}U-YtuhW5e?0&KLh>|i2Sp^a9$91Px`6JmRw}8 zzksbaOPy3#nAh)d!#~(lum?mzXynmAfj;x8-{7|1Jrc2(!@;CO5-19BgL^{VI-J0% z;AmAE*zM`O@F{eURSO>;qlW+(_oXSnd?hUcGT|{XxS3PQ22oDv^*@pvH04(Cd{^*} z)32J%51#5`^68=O!h7J(cwqp|lJxrS_gVgcOkqjl&ToM`eK7S2`(P zTy0F8_NG3L<&Itkc2uEb990Il>^KG3_w*aO~;GE(`XJ5s~daeEdJGUx9JhZM5*-&+;C4`26p$VfsC4zi&O2nJ$AR#de_)& zlDu*SMTJFfIKC+gI;(GFG04)tz*-Hin_HQ*|cHV-RrRQO~#G?MgsRUvbQ7DT86 z-)ULW0@ofu_wr6ZcTuC+*I8(jt|`naQC*jU~EK@j;jtLmA0&hJVr zKvfHUzk{&xcau*LmSM;6GfK{tN9(prYxk?BrIyPlH8r*CVEb$MdC$F)#KgqU7|+2B zDf7Y9c4!PfYs7+F77NfE@8R?F^N-U&9P9;&VbMf~^5eSlDs-$B%m-gzQhV<;qN{N_ zxhZb-qHdz4AGN0Nh``hbd~JqT?fQBPG*o$FC9ksdP5=+)C3nA1&Ad|Pp1?0`(tZ}k zX~nV6WXRKz!aPT9c^W8?Q2<6mh(S4^`+|j(oCR7tvB)$`5d5MkD*clmqT)5HSp+73 ziW)b^4hgxyw>a|JKNW*aSgl&&ehJUXPhjIEEH-)y4-NFUOiD~cC`r8gL(fqiG?agC+;|%$|rc5e|k%zF# zRHkXSomeOUTDQK5=Qvxhvz9%;)zloeDmae8k)zwrkDST=_7PxNICpor!K{s&k0imi zE9d<^6ZXiit4mN>NH4AzAZ^H zM?)P)ez}3sQ%jYUa`d@1 zFl^2^VM>dsI7Geb42{F6*fFL=+WFrR5h1k>o{b?lJBvN)aBTeAU2%Clga@!HiEk|l z^J#>LQ-Z<^`RB()|F0fRVr zn8c+SsFHodKh1PkG$76Uw@iMnF+2(-m&kk{s3+PVrFG#t`fpP|_gy&^%k^*@-+7bW)Hpi)SWWXuz*A~-h=F=hFbkhJd}w6xOTm2rXiadL?RsIP!G$QN4O6wk$)>N?+w0=SE2VQ&M)wI1$k2wFDSSzi5DP!z;>2RjygY zSrz|ib4qzm6S3Fwoa%abHJ+bYQ?-Ae$9{z%+vZxf-ZiV1gS{66vAljh7y~H@18Ci2 zkQMrtxg~Oq{iTEW01_?9pAxH6$6NDLD8E1 z-(U)mM@fMkni;JSv=|-UkgzEv1t4}rHEMGkgP3S*F%u-n07h-n%lG0#0XE5qOuXWJ z8kp2m#3@q}vT#4|Ib~$w#9s&mEyk*2Bn9U0yi<)Bu&yMbSf6hFr=;@kXRu55O7wA` zY#_U+hoJ#@pY0w7P^1go`=d?*W8UMWE%d$T_H>65>l1!CIKXylcT&Wk zJ$zD}4F-{d5u4t`U-cgP;}daOstjBY`02(S1}z`TiNIhg=b7$2YO-E4r0=RAOlLuu z8>>|+4a{o$JKUkzKc=+Z!b@Y`5}wA)@?n;{dWa>PeySn0M(X8p$Xx|gmgK6N-3FX= zTMCHlQ##l^+n~-J<7wk#vpJth*Ykh7XPsB7DiWx!FEqkIFu*-BDZ_r35V#dVKP&;y z2TTMxYH04iO_P>0T*x@6Qi?XDw`#OfTgjT zop&dzRUnvr@Bs^PE=Jf+rVJNK;lvn^oJZt0+ z4Aolj?@mkOdH~dK!0%<=sh+4zP=3Y-yI&5SSAjaVfTlqYYMhGm2r$eEctC;BZviYN zWA&F;M7?|>SP5`YgR$5c*SyD88m|KGWD|6BT`!3naMwlo>>K-#P5qm9dJJaU=~OyE znCq6IgrVDbrr|{}ya4q0dk0gvs4QD|8D!x=b6LK3!x2oSJZ$!X&l6iDuOZ3*V`7l9 ze?P$^2ZyZOYHMagnE%|v>4(C`7g0HKS?Xv7P#WdJ!k{MM{E@P7=`_&J|58|qx=lE% z5~lEHBDfIifDVoe72w6=`QIF2&qC+Ag2shO-xtemgiaKd=+|LqWk!kZT+RydwLIi= zAj5#L#$|s9hx)nJ^F%WsxOqnte`#2i#85(5N@$RHAUCzANK5nCdM4Gf}QY$D`aTaAZq5oQH&1w5rI=ScqEhe*AhA|20+olY%eLnU{$Qp?-tc(dM3a2 zfuk2#6+&W~pA;9@&vkN6z#yz*X$L02Oc$m9VD<6tZa|^Y+V5*V*;+*&PwS_K(3e9c zASOwn#1ZJ|x=`Vk{9CF5%jz3o(# zPY-AMGZ?@;_BQN2hZ3Z~08e>L*qito!J}qud%wFmN6@9dxVRc#1e1h-aS~wsB|-uA zbwd%fDWPd)0hXv3Y$sEw7Z~^?!~}uN%>Ner`KdJa$-5McQkmC86$!!tnXb%Ov1nNd z$1o}gZPK^WXY^cL_W?_*&4z$PH1CWk&Afm;$ zGq@Ltu-3QOavi1~-x^(Q?L(yn@-UQ;b?zWDTZ|Q+s_;+8!>kh5u`MAklq`N}_ zymw*gp?tVnc7Y*dC;$Zn^;t&dsNGl#YBIl-J>O{I{VSE7+uzj%3y#s`8;3E1y^cKI z2mi*_UI!Uo2h}JYLDA`v&_9B0qoh}!RG<^ZQaQm5Z1xX;LX`W3xi<)0XgB{RW_&t{ zgB;ZKXw?xjw^#P;iDSTwD!h)tQbkJ4N7L6Y!UR)&W1lC@`*P11t%m$fT6mvb@jt`&rbpQGVnfuP!I8^x#0r6Y5=6^Rij9k8V4`m`2>@J^js~NP zBBs1%3Tx88BZW6g1)2M#jLYIjDg`CK;u~3CHaGST#Z;C zD{VR}Q2B}&$2x3j|3j3mK>KGWV5Eq*X4C_KkANZ92eosz9PxKYZDi1C(o@kvP==fPfwiGv zynVU~mc&hH1ey79Gptc!=5``jAC2AOO8&o=BJfcC2cexa5#dv2qc&70Xo@8FvGXtU z*l^YkQheculr<-gY5pujOUa+iTLb>Fsu*I~8?=cjERhTG<&hB?wC!4c>CpFTyj{i9 zpTMSq=`v^+cNk3-KRB4JkDNMl@3VPI$Q)v<`t{SyT@^lLl)DZ2v86Nll33i##O%Fk znt*uPp{v^+(fsojbRsq`yjB?W=XExe@*%i?$f>AU+N+sn^vIF3;_Itse}0MoQ3g|p z3XjNp{N-WhYkt$vJM&+}44lUEYspJ1P3~8V1V6-0dj|jh3JZG>6bSnp{)%zZz-!BM z@rvN_N%3+ZE$_|!N`0;k%2~F)JLc?_QCXfvAR#3wHLKCFSSZeL|Ed2Vg@ z_>yCtRa-`!d?wx(;1Ea3pZ@A@7_L~tmp+=Wzo&`jE{bgLta^>pRYI*A)*{-`ZfCxx zl^bW`mgwNF;qb&}_(oYA*&kyi9U#UQ=~i0xWBlIOtewR(>jq*Fbtj$`r_WTqmI3bY(T*D8$U4rq0##$*T>rkb>F5v}vNVDohMCv3qwp!o9r0+U13mmI$Qa zEq>Pa%VO=HS~TZPmI}NPEEhtz)n1>H_-IVGE!^H*SIJQLn}=2Opmsc*OSr8k$Cr=M`Vs1^ljVn_j)_INX-RSVnJGx?JBxp z?pBEvu{&90li7I0hKbI}wMjc|FEVKcQ@nt^eSV?a`H$=UU`7Ysj+~59U&`Z)zNXS+EL|Kzm9J8yn9K=#=!*+UdXkS|+J|fon z;uhK4%YTKAhazwyg&1@;TiVna>r0!TB6%*z4nAzGAdY~zL?3e$H$E!Uyc%nkA`ej? zPRrQj?p?Dgw7)f5J00Z5HSKgBsiaHcRZ_~W$WD-ob=j7Z2>EW0_Z&U8CNIO5M)SoS z{;kKq-`3_!fm*}2%Dm!%ypOZp=B~%avc@+$L;GjekyOzpg&&6__>FsUtrpa7eXB$)=@^SXA$$I0J-rn7 zHa&=fd?YR0ReFD+Rn>T>X80}QlBazatFKcOQ4U(CUDrauBF~I(B;&}+BkMi#({pgc z?+G3Umu>{_XUiT4$97`<9t@wRL|o2~pRPq7(H~pw3FAu&+5k#xma{;w(#?S&=KoV?Y|6b{{R;nsafk8tp5}Df{A@?l*m_zwQ;WaiVsq zZ1rL8M-5jdgVN~v#8JqbdF>uiIR2Hje5}(uwBC1zgEcpGRX*uLLp*QnXFhRjbw4)S zG&tonJ>D_JnG|l0IJP?Oi`ZB1v~+5f^ZcpwI9mK;;Z)NQ|D143TY;hZ41plMrQ&lo zyES487s)wx%)`S2TrEti7J8>+y-rdsA(K|g zk^vZ481uwIORprOfAQ=ssjxiVag=RT#eZn(7k*}-`)SkkRK(QQ-JyBeUFUVNi zL-BPDNsYf0&Vr>2_y;{se^Kj4+Rkibv;;`g@`K;6Aj5Yg;jW>a4z-?~z&O0qvt#qs zyU&wY&FH=Q*nek_??i-GXruD0dA9GRRF{QPnF%-ZvSNbS>-SW<7vCtSn-gW!*)$M> zpC4n{t@PBL+%NcGG85r*Gu_59JHOKtj)%IYUBfbbDTpc9;%=NXV7YjFT@3q72Wgc{ zECeHGf#aRX8)n|d!vxEwQob^;Mnqfd#D1bt3E{fQUsm$jyn9$zi)SMN>`M>VD1n(7 zl3gkmNZ`E;J`HD5xnHqgoc@V0ft&w@3_+L zW`vg0E>cV{UX0xIJI{#Ruq?Oo;NM|-68g)p1e0EN2WIW$3xQfQM-u&E@m1ObEA`Xc zHN^sdG7K_AW&4yw8miCx_7-EncbY9&^oiYhE?q`L$`(l95e#+GawbofmbD~E3h@~@ z@Ucu2<;ozgc?@)}rB3ppxeD&1V~=Y6puv>Qb^k=zIN!v|ZhHkw(2&hBFOqzAZ1E-5 zf5BHlUzg@AS-Jo@^{V|d_lSDUij4s$t1hnO_F)_U-`YwJ`O+?{P1eWmwt54$(pFMZ z(o=w=PGNmWdSCF3J-F?L_i2;SueS&n#oXL{Z}&dFsB>;nL0@url4F2qRBKc|gYcCl z^)`K9F+yD5yUvNON~oUWvl6~$ zo+hCZdjEI{o)xbLXUc`6U+lyg8wm97=51B`saFWFa_uwCEAD#lxD!}I{E}-Kg(jpI zx~iF-AG~s5%}HWri?OFF;t>!Bt5ll7l5@0_@ga5V@=$HzflDK|V)aD39sN-Gda{YK zab^RBUQ?A%aso>_%UgjLp?(qm zEzb;e2`XhxI8gG#EUP+VuLXOuBNq!>5Bn|v4l0c4;F^lZ%Z;kPlugpA`iUZ(HzM~T zt&@L9?v>ee=r+q$tlSrCvFuhJ*EE}@^BSQ!(N?6r!LKw`Q{3lz3)m%G7Y%mje5weT zhq5XY^Ija{2##5N4m?HptX7K+Bf9ccErUn<`ItxH0?w~x7qnt=sD7+Ju7Ks-c{GIS z{pSyE zyrJI8d_?$PDTx7$1kp?Ht+TWr?tHDPLlIK86w@PI)_&^Ztt$qS@84ylgMZV^H9oL` z4993Yb<*s+!YRy(3Kk&BmecoBZEug)q&f3FzPW*!-e4P_vO_&ik7#`C{TAGpZB+NP zYI1AAZCP%?lICD2yTVms+_tisbJsa4Fs*L_Ebm`u> zY7J$xS4@9{V`RHy#=vbr@x+|;a=q)D^~<9}J^M*Pnvc@RUgOBb5Wvp!XP{xDOP%<9 zK~t-VNz022rI)cY^KP~4U{49ZOyJLwgqd_7TglaU=6T`Dww;J5lks*Ywxe}f)g%9w z(0glsAx1tzy!qJ!j{Tmp1-RD6ON*KMcay=|Bcn&#E||L3q7z!DmE9ggBe~f;@l+b~ zJS3G8F&2_I^seyiJy<9UDIY2Yw!6+b6vsUCzrk+_r>*bQNXkXiB-h%)Br;j)tXb$v zw-K>3CU5ZjKRa-V)$zg9e7yp!Ublu%*{nv8R~!Fs_JaD@k;J;GJnJ{M$ujA-8YD`I z2c`2-m7KEI6&miaJuDCH={!zrB>3p*?@(J=0wn`;Y(){j#9|e~4t`;etgWHIe1i8Z z)r>eeTle_4_!hO76IF>QcsNJL(1cA2q#~yj%fMBY3G#NpJ78<@H`a{Mz+^5lmYo7q$bWu|J%~Ab+@0lJ`Y#@E4k1Na zkt-Kbc#B{rDL$bE7Wi;acI82&zq7C&qcV=hi5w6jQsVdLqX@m(;hn^xU*--@8 zZTGhGlPlRJSS=B>TxPfAtA>=vL9{C`gm$eA=XUV>U?=v9oma8M8vCc&7CbFLcU z=0E2(6O=7lOdaDP&O5=?Q@k|yN-X3ZmnCymvm`4rjdpR;E7S@NNVfQO(jHyS?d#Gm z#wR8ea7a*2Ur<2xWFPcMp5)Nwvabg9fP~J;VgxCfF!9-#bk%S>vjiKm%kYs@vs;d| zb3``eRt#TVPJ3a@X6Bb9%a>-GPj(p4tBrl38{If*|bNLHp}Ym)K9km ztC;+*db;988A(gM^x#hXF-_}lvewXmO3&A$NFEOPIu@M6F`3|j7KA-Sif61A5!!ZW ztQkKQjRzvq!q;T`+!w(v`vbSSM@=0*50+Poz_MAJ>6QuHZ%PNDHxSEW;{v>#I5DJQ zjz5(Vc&JfBpI{S|!>%erl(MyBgVPdl`~+p$@|&0j#oMrBG>u+lQ19;4d)UfiNwP*v zOI&n&;5)w#Ljt##6`8%7n?(k_E7`7grlIb?m9WnZQ~oDIjaa*gjl~##QuiyV1Zi3i z8E3}!Ol(fZ4xC9ZUa$Ud@iDTJZP+=D6!GIFYb`0ltv+rND!RXB*;sY*zXfZ_6Rvd- z!igqZpt*9AlHz47T8fl7vh1%JPF6hTa|kYaMbf@X0OJq!)4#? z?)stkh>|+6=Ym&%mfp-|LA~R4-lM-AE4F=WyCc`1 zI*^%Wnh2bu#cfsYc-jKE79}lZt*xZ~PJ_!2yp&}qi@f-Iq32_Ja<99UShKi|6cZ9e zeeH%rXAWqsDc{$ps}`}Y-kQkO>gf*J=bz59rE983_^b_#zo(9P<<*Jvpf#!^{UgPN zyFMoPZKH@>+53dUW-j;4sfonNQNFJ=pFe8_VX_=`I!*-{v6@Xs@TUpvPJWCJb)$#X zL57W1;We9{D<(SqRq2y%GgGW*LYSsPo*MZ-g{fgQg&EEuW-7dW7 z=CZd?U_&HxU5f}qXN;ufmb4@=W&fcey5}+zm);Ymf~%$;zb30#=EPq$rNX*$C>lj3 zl$hyM!R3j5DlGSQhR}EO5G`l%8|o*Kh;rQU?OX<`x9J|NcWDUI3IYfB4S0E3R{N?S zdrGBec!jS(i=)=Y<8O-6h9_CBLF(6lG_?;O;tO!JaUpEsG<&D)XZ| zj0us0)~hoXeTnEKMq2IftSV2uj4asFH#*&<_oFInn!im_n~x7jLSFh%QZB_ z{Gd+OUTm!%dn}0Bl%XFMppFnTzx&qMI|SKxKg!rU^nEXVxx3}|6_FCpiKmQJrgDB- zRz(%lvW5kCf~m_;w6RLPsN*OTVk~r!BWX4~m-OoneyeDY4CT*(^<;MQ&Elym%L8yq7u={Kj=3A3IE^-TZ8z782I z_vLM5BTv;dqdco93fF<3{bgmT$EK{W$iwRn8_5+>`u?}fYRHwHGk=;!{~67nz3aSn zCDa9`&4m=<=<8eR#JZsvaMks=o3B7^WF9>QZa>*$WWjUNnC8vLl~ntsg@*Ggro?>D z$lg~GE=Fezotu?EnQe6)%co{!-k2^Vi7@jEFm~ooFk-x`OHXM!=}Eg`G|1f&IN-8Z zmtZFP_8o)1J=?-UOoKQulRIANmt{$T4T}grZQeRwYwHj=-jNBVzN>S6FrfLdN^}%{ zeS?0<(@0xHH4roQ+M=IG-kR7w>IzfRvZ1Cf$$9n$cKDzLZBn!#<=r~BT!+bG`B+rx z`_5kIqtlGKD8X?c$zG9Rx!5v70VW-K^yS3BDJwbYtXYQV@x(941Ph4~am}QiSy12P zWe9)xKScd?Sd`oQ{tvrVNAG)N87 zJxI(T4T5w_Jd6GQ{yxut!oi_(&$`#TuJe4I*P4iemj`~%Ynge*vgIX=DJO1*_7W4V zrFza>@3x1yn!CDBEbOA1^GeJy$I2(CT4CKXQqtwhRerqXQ@Sd4KBrevvQ@+VhlK3) zET4!qeFgBwo7rQ;k??m9YbBme^$YGLKaX{f?J1#&s)DuZ>?3$bpcETXX6M1~-3JFd zx(0ZiGrjp>A&l&xRkc7#3>pu~DB=6GMSuMT#nZhgt0ZX>@eNLDc92fT=&aHxdq>XX zsm9;Y;ppB#-NT+`f1&NuRxw~YHw|$QD*Ku>=++XOmb{z>9S7@>wayc-&$@L^LQyI&Ob!ms3ESPOiH2kv zO{KOQ^K3>OPxuZ@{(1*gQ`*@$Ca?J>;p;?kwvaN z($8_98;?6NQYt}%m&c)Vuh1$mX@Br-I1^3UF!w)P2VqJ=Tv6gMg9`QOicJ35|JH|q z#CsiIQ=Ke+#y+&0dy=bYxpcY_&)q)-No5ku`h2lmG?L-Go-Frj$B~11sV<1RgO9Er zFv4@VO~k5YN#{bnWlEg}ks2(WpD`>u#GFySq@-0*N6-Vs$FRH}%Pl=b@Y}WgF51Ud ztuy}(!;yKbG19nLolvQ2tNsL6&GRz)2$VcGVux|KYSTYeRW(Bt2sLg4IRycDG-pBr z#Bd-gtV)!m@q_yuvL~@RC||;F$*lK&`_ID*-|-zA55w-I#2|HUyqLUT^9(bxcG zN<;?6D!a#|Ke3vUa~V%MTSK$?1RSDbqlaVfmf$obV`gc9gi5KBP<_ua8Wf=Z_!k#w zWG-V@+YN>ama^2Q_qSsNp}msF?PrfFb?bp(H3)v3d+A;gq>_3d$}*O>5E8|SLEi8A z@XObXa+{#w9VV=@K_l3cZ%OhUbq&{g9b5G0p37SdGNzTTWqkHGp?gZ=Q2ATf~~2fe78qae$l7BX{Mcs`I;^Cc$ARW#f6gxD)c zbP;=3`!YFvgOg&I3#!0%uBblCXcdH}(4-FC?d0jp z`yIO6#*J%=7rPQFi(X)y!htj+=Dh1Y#`C?`(XcBp<-iPUyHS$zhC{sMJw|1mdj7t4QM3*O&$O%;q3+ka&`_Y+y-;uSHvYlS2G`$MrH;hv1n{lj zE!$E0`;^9siW2+$8_#Bj44qr?slX5u|5`|^u3*CiA1W^VqspN6U< z_ES00iZOJ(?WjUcb6DYJSsJ}sLU@mK-LYt+rYa|CR2gRs^?S;#Ln~Xg{&v0a?0^ng zNuS~Fi2hb|s@{h|2i9y_Rj7j97EwHBdpIQKu+h53iNyfI;ITxP5k%G~@*b4I54CgR z)P)i@L@;~1Qg&bM={>A*P19-uvdv2x``d$pbtkfZZdprNJ@q5Hu_swNj|yKgwm7u! z)pVGWDJ*l)s!>r+F9o4HJj~s!PcL#_61Hy(s|i9m1kwgF*B~KQ0vm7hi9>_XQb4|p z5;wdD>TIX7X|~W%D1ojuf8B8tb-sb&+43Q?1qh z-Tzw_4>3VsYqN$PH50C~e2Q)|yj_WMK%bw>LF|ya2$sqqOb61FymmqkQEr_wWih7~ zFa)~zBjI&4VNkoE#QN{9_gs;XYB>)br|FyLI~+S1CS5^lYWy^X6sy{1Q1_I3)MNZz zwP|QVLRBRKJIZftvbGNEMN@LWi^|v?4uExXb|VKT=+d*`oWT*Z+F~y(PUeIbb%)F_ z0td~Uu{2}Ss3XMVW3dz--gG(v7`AG>?bT?b13wxn17CN0i~;{xEoEVZRaNOniIMO& zDI)e9ZL8*9NZ0w>SEqiGxxH(?H=Dv|(cBcCKRQl9 z9J&1kjwjGSXe6#n&!>P-T7R>i?a+#qSsk_Pe<89ffOiA_|XP zmA$3?(EJKfFkwDLU@AJ#!q)Wp2W!Ddo6>C=eY5b&Wu+c-S;uXR%*ELFmK^Smg5R~w zsJ04hj$!>RO?mQWw?X0E>NyGl_47J#7Qp)LI?qTC^607`YwTfKD~r8T?43xcw%LYu zhZ4IS%I#!cP7v~*{yhFUmOXbX+hie|TZq)O%p?gPA@7iWF{rIV$t%M|Z&xn%Yz>^X zV#DcKN1`zaZUy4~)jp_UE7a`iT=j~SZ-xWMUq(x=IQCFT3|@J->8NP`%k3?T?KwDV zZRG4tGy#QzQ*Fm{rv#KLl#5YV@BuYLopQkXP^ImsX$jp z<#>}q=C|PN=*)s>b#7u*;3L_Zb0{VS2)@i)ugD^@|Lfvr<(gg_YvB*>XjDGdz-c^V zRvwebhVD6N4Obs+MikD#?UDXwSSj>H-`lZMa3a{pL%4UVp?;Bc#uuGuR;=bLqCv{b!MdBzVJ zGcPu1&39z^Q$TIa+;kaIR+*)XfFj^J8aC=O8t;#*?EPDCzF>hOy=(q{)D8)Rip~G# zPO9}^KwQ+s{xKn_9tDM2Q)fuoef+Y@6p|*2_X(ht8s2X3{gq{HE|#T-@H!XCe!i4d z0+fc~dxf{wl!%lnsQeukR0x#{X`nWoQmO z=3!9h8B7R3!-#^aL`;S#%?z`!ceSe8N|Vqm zvVBRzAor(2O=zkXv4>3%LoFu~*^5@T$EFiNDAa_M&OQx!s^wyx=2#dJ5J0Kyt(5Yp zhL(OwinY#rK{6-AJ2Q9ZW^pz|`WX**4=Z#0R%2XQ^ZYih>VA?3MBYM_K#PvMs6hIP z<9C6sj9K682f3oW8-*EqjII)&ZXBy`FZJEH?R6sOi`(EMUT6$ zP=R=k+Nj|~3YpW}df$<@_(R2<=RE96-rH;f?~+wFM-~)vUf2sD-?p7hkSFO2`H7V; zctBm(gN7rLf}F~x#za5GI`jU#dOajop)%D7PI7I%k`G_9?RzJr^wu~F0y^@j7Ubm= z21lV)k^}T4hUXEB_J(dUAM0}m&d{K_7zHzO)E_B68ZW&Wp~V|ZP+gh*w;_#;Dlo^3?u!e zb-%ET1?_9au90X-y{HD-LE%A!`3l8sqsyG-q`OCQ>vN1Oi+F7_b=_QPdo?}Yvy?$yRPYGs}#v3-THX~ zSq9n5q()N4n#?{j&u4>T&ZasqjjJ6s3+cTIK%s|Q{eLGsN2UT@t~gtA&{Tp(Vo>U@ z#LffF=>wUce5T2IWxzK$UEqFvH%Ru6SprX5#@lKhjcRJ8ip%YP7hQmj7AE_LB?IFs zQ$98RtfV?J|NfIt!=T*robx5KJNWr*zx*Vu3u-ulzxH7&#sxF3TR@Bm0`H9OBL{0u zj?gW9coIe`vY6fYo^$7L+dDgAHgLk6)_jwWtBqZF&`v)rN7gepz4;WAk{z(FoJ&LM zN`3DKV{a)_abvTKR0{f|azZzSCsX4*#cf_?I-fSGQEjoDk$){FV+quWoql@>HA_}l zafUy`g!$^P68ezf;^>E&xDF!yc!^4l;#p{KqpN+gM-;Emq;gWSbc0cPl-f0YQaR5F z*}smtto`7ct9!-Ne3DeFM5lZDsJj;Rt@}NPwpdj2YfOz8W+7W$L&=)+eZpbYdT9Ik zr@r2;Bg%~m-?ngh<=n`6#o)|DNT9YfY7xnlmjWb%6|6sE5c0KF5>icmBIwD-l`@LmU@f&EB)FQ?y zNZskp8^%Tf(o4M>o!kGuz0EGKS-Ad|!!~r9=eSLG@Zx`a%$t3Hzr?MQu8g@<=c=hj z61%aj#h~q?!jvQzcTtw+8T#S^W}L9x$-fkxnSH*@E_fINFGKBC)R=HD0yJobVfnSL z!duI{hYkoGwstnQpQpFIHY89$V!kf{{0q zt%*HxK0Dix0wb6>{9aWRCWB9KFze3MOy{;WrU9etg0k@s?BB*8Z#3M^PZ^JAF_i(EJ^Q!6nkEQL1sPfP zAyiUml3>*s{uU>);JkjCy=Acy2h!V>w5x)9h3{8~1_fKT&gW7w&A2C*o^gL3S!S1% zLRnb{8{Q^`N7kLt&${gh6F_!wTh6khV5PY^A}5Pit5A&%+bl!r{0_Fr;IVrM{$Qtp z($w86rND>&0~o2Sw><1=bOO4FsY=Dz=Rdy7kFWSMpolXKcsX4QF_bo*OeFHM8@6f} zMxu*0hI^-CWSO2!_b3a%<8KkvL`iCmeU`zoW)Dg;zL;3s?(MBvUe$|yo)C;3DoX5E zCiKE5I;aASo;5W1s9jMV-d)NDN@3jkfg6|xv@B(pAc;tvDR3Q-m24zzn7%aU}-}6LFGZosvd6csTw3ZFW{mt(({LRT(Qf+G{_1BOtcXM;;{+5jz_Qw(82v=Z4 z&fHp?xjz(h6-IaSv#dM8IN|1`}t%|<9^jA3j zc_&~aH6TLqxaW%goU=goWh*r6?G@``$DJQ9eI5B+wC-gcup|8xUNm0pVD4T{Zce{Vy=KXQdQT`xb z&0C*4>Z!vWT~`XL;8(Gqh7W8VYo;}+H6m&k>iZMW?Jri}26{x2kL;*ITvf4Bz!Otn zid5WxEGeNi#<=P2BDHcgYL$KWUCOE@5>|iW{qIRou79A%hPz#5#~(|LK!hZHVfnTu zBOl81r~EYj6joCVO&@UGV^=dogHm25(!P9_XW^h)^OOo65=iOGTa|HrDN=Dye{&J7g&Ec3|@nP%zmQay#o zCmo%(D<8rgLvunF9IY)GRbNY2Tn>~7DbeUx%#=f^Vz%=7@s$)G#%J%k57NA+wHNUA zgYE_UQbnJ5uK`7NOchU)j?)E`_(GsEWo~-MMXo%3ne_C*Le-;tsO`?1quOMYvHwz~ zyV?G1w37j5y>3V03V}m=77CZ&n7i9mXcux;=feyz1Cbex;&aof{fke&hfD3ip(;XA zr5O+WUrYkXtNWalX>%Qx(fp>jKLssyo*n;Fk81F@$tbSA4P_UDXxshSEA*L5bw-U>3^`3(jEELlR0PAWHY|QU6i-o7r!MbJ0LnK zXs>zojd|!W^VCa?Vc~Yo_SerV>P<_nLQgR!L!4b0(Dm?A0cx zy7@_c#cd3fm3ifP3~WLlUS8lRuc1VX0QCcqy)e+9U?&!!yJ32!-XDZsyl`|740cya zd>ljFL_k#Q`aDLB7l^5>YOotPFq;Xh&1ALh@elyLJd9!3v>B-x%)itmG8E%#y0m;= z5+l@aS!*b3&{o+hgb`!6ci1hwTKG7B*gWX_Bb@){jeW+*Bb^nXa?68bbua&Z?{DqT zOBtBm^_nim;X!N(7hIE?^0vAiXPo}M49u<6mt;h@$Z+9>s#SAyDyP+ZiyN+~5KIt& z$nr%u@5^$2^Kk(>y~+!7lqAo9hSDssAyl|W`JvV34~q>(dXpbb*YhqlUm?ty&<7(1 z-VCHO0u?>~qddJ?upTB{GO5|W0kDu8H3cPh+Oo;g<^|Xhn=#M_U0xu>UM-o#%XkQJPrvhiS zCwE}|E!Fmx;t`>&1$7!7X;ZL59>egX)<5Hq`_L{+S-tQy`giH8;@4Agv1jMM|GIS2 zVJ_MtH3Wk83EA2f=`$!*al@w>4p@BK=)Iw0BOW;+s%1564UTT0N{WrjNeh7EPWCd* zW&=(sv&vZ#(=FBWB^AIhGr$-o@!gYg@@k@ps`^XWoa+>OSK7jw*~qb>VRpe%a%sUp zk2{g%57GO7_E5K-;W|9VzHHkDg*1xwicfB_;aJM&XH#j6j1$4{8u<$^w*(^%y!)(! z;gvpP>>j40x8@#BraufcK$_Owds11FWBZTc8V!AblL8}jj>SXBvvP7obBF)^!n2E` z>JbTUzxB_VpPm^(%*sJjxE&q&Ek$t6;3;w7g3zwTRq8co+b(h2u5?R+K(1tN^1;cA zh-##Y`B!`1r-tu8mJmB2yp5Rwa@W4bZb<8QEjX$UkG8wVtH+0>0TyAcB{+3H}mr7_qWAm35MRmRZEo)EjWG9)B zHK%F%Uzh~W;U0mayM|$q_2D^|QB$ot>i&>YOc05#dFcJ$HoUK^BVN~%2Vs?}US-m& zmKkVEr>mFX-L7{p&_>7=I4RHi087wB&+AC`!|uGUSe=(_l6G6FZ1z#EB|N`jecZ_gPH)HKZ*LjD2XVGK2(`ZMk#8Hb-?ua+5*`IDD? zn|Wt#V?BzQFO0*ViV4qdP_HM2RJ{x-5+S#_}e8F^!1pm&}n8msFMb!0T+jjysKbHli!=LSU zu1c;q0vDYx%iFrawQ`^!Y1@;$!ry7TR*32jic>g$cl`^{$fqDLs68%r(R97t*6)0M z>`c`&RgienSosmG`SfB^+ceF>h}!(h4>FHb>7RYp6&|&p*-U&jgoyf?-!WAEZUt~9 z7!xRy4M7sM80PiNu5>SDsHej7uEC=Q?zQO*VS*c!%yY?+cAsgf!(HJdx-7Kvx4u|8PGLSTb4i6gk(z<+w%|k z6jFLvsg0(s@EooTw=@EBgPNR9XNZH-73VJYS)!RcN9vv%9M-bc1$CNvxikX(XQZAE z!fFwElGEtvv6vU9XwKLT7nt7Y1~~{PEOBB+g_Us)&~|=k!*w;hP`G}6(h55{=X4r@ zw}QxRBLZ_2r)k+osJ5AJNJw^oj%hk^kK@_?|6&~i=0%yGQ+#7Ecae#9M2xEmjc}o~ zz(>6Cq7c<&%6j~{2Fo^4+vMAQGnOe;uc4YX2|~$tHee!kCr#9_{(Mn-Dy=rHZ!wpG zT3VI4ARoRTF*@Ol!prM4sQj7#JzLdP)9>(!cDF6L=>=f?A&4qE37nn$M zaZWJ#kW~NR&hyEz>3rBk9D|n?Fsuy)kG6~c=49M_9T=aVY{HdCAcn3|)RE4d;*X>i z;Ph_ae$Wk#BcN3q+^ESf75LK`Vj!e+Z|}JUPCna2<{FnH>7UL2NFjg(U74b6^O4B8 zg^VbmH}rO}`&Gj$Q%cPlj7UGz_MG=j)<St54$T|?5bS-0l}TM`SZFff!3>|3dIxKmJ^)sMN!*f>gf$qpQ5<0enki~-G6cY z%VGsn{_c7CpO`7AD_r4%s;F?~{||D%zTqpJEcu z)^>XPmic37D(@5hBiX>+!k<4M5m7?|u0(z|NxLLxn*XlGW+XyV^u5K|3iEK#&_%O- z?`8^e)J^QORJsw@QB6MBeplAMDu$wcswt5va&7t}PO(C)nkV z`8LghK8dh^|0TmL1dQEybrB+~XLc^r^i?LIsv8YfPRzWGe7{{b-%~C({76g!+wNkg4czr}hV8leL&*H~#)fw8FdVgBMA2Qw?kL?2W3lJuVN#KdQT|JE)bDgV z9(19g&qfQcSaPcnO34Y_0`;#N!{N{-+O3uK^34zzhO&rSw<%)>ddYS%#snGL?|_0J zjc?~&7T$c=iO)Fxbn0`&xoKC7LFB>H+LS~%3uH1R?*_Re29o;OX>W9IvuW#R%T<{{ zCMZ=S+Bw=##y8A3FX|pT&d+FuPU>k03?m~E9;8pJR z+Sbla+rFJo3+wfC;BoHg&IuAMS5REHRbJ(g2es|LxVl#`O85`hmH+JE#*&@S@=Z6M ztrQ^_P7cO|*HxL)9nFmJu_3P|i%|mV;|a*o_|!1usEe2YFQWeo)8lon3WezxAtz)q z6^YJkm%&4PvFE?O$ZF6Fh_7-XRT^F;C80%onP}BIOX(C#W>1Xlim-AyQ-zgQcJT@5 zNYFkkA<~3zay?Tqb*A6hysVGIc|lUHV<&D+9JH6OPxj4@R$M00X~Eo)FKVSWGQ9rn9en4wR~RC^xE9t4l7<(gB5s>U~}ng@MFe{nVkj&z%} z=?M00kx)Lt(wEbqeQ<4)))P&BS>sxUb+#XSXDw58?_;C^2?Kz=amGV@u3DhIUg~u% zzJix6DhbMJ*H!7P5#ICT11b%nb$w0kvjq z4{XFZHK@2Y+D@ER-+<}Jz+q8D zij|mY&5LpAxWnLGK*$A8Pgx@t&8c{0gYK=dG588XCA-&uu0#~CAZh7}3WFbi#djhl z?5KGEQb;SYtF-;0{oP8}953b^&T2E2Bao&J9UbOy`t6CdYh!YX4Hh%f);+Tmvfxg^dDfK?+#xdT+6-PZoYC^ z-rg1jVXL<2lbp6cZ?CsQcZ%SBihqW$s)77*x)i6l#E095y6XkP-6PVNDLU$-}2I-FP(5635qf-d(Xd{vA{v887g6 z+G}EqJ<}v0=?8t^4C{`nvf8+FnFZ1W7=g+1)&6wZe(%YNs#dR%pFh}I%=-GCN``qc zto8M|_*V1}2Y#s=ZOFv9h<>U>FEy9I<#jjhp=}sV`SeL`6-@v8A_~Cw)K<33)xO~= z3saj0BH}+FLoCWL$g-^-$~b2*|ROY@W%MD*~F%*6E_AlXl$*L_e2HO+}I57$wUC^FoAQg zYWxRaqirhj$zsWKK?BY|N#f(07Ip%VeY%|CPiqZ-?*iW3i-0$VD8U(yN?RixSL<9b z?Y``k2Ag-;jHQ6z0hR*1+KFn_IulSp7bYdQoAhs>x=i{#MqNM{HgSAWc?j)0+*`A{ zsuzw`;`u(ME37bS=pxD+;Sq21eppPAhXI1zjRkV^{-rM!E343Hdkc}`xeeNbwPyAN zp9pB$iQ`$}JyDi)?`%;p!y)E6O6sDi2|`UpL8zcdz(QN4wH=e z8lq-mgcKQPeKJ{Z?cx{xPpePbzj?}4@bCp22WjvXCIKB9AN$S}=i&{G7oZ^maj#5S z21zebbah5243$g?OgkP#=iuwUJi1CA()p%9^xFWJj+5=U)Xh4tX+jr~7pu*7;6=L9 zA3hDv&DrlHpi+Fv+&!v1uIll^sy zmTYz1$ZhdG5xjM>GatC^`>DHUbaa&I6*fgkb}hT@;Q!I$LuY?xe#*nfIYJ&7-mXIp zY5ipwvGU_N@sxe%!8*#P{Qil$9nFq~G5Jy1qP$d39u##)!SGbP(^io;3>+j;oJvQ|vn}%5CUXC*#T*;(L^64eiWkGE?w-TO)DV z$iJl4$?yE#PK&p z>_+f6o{@Q-sn07etLN$ftPv9l;NzR`Nw#u-a=#wUZ5t%pjzhW`j{%gw$In`53DBn! z3MU?;UrZ(*1QiY$s?pxktQR^^8}x8R2A`Kz@^EfIB3)+00)`3)cPo_Vp$r9R_Aw`xG}=x(p7dT1LHs(6pOF?8 zWtafizzs+S#29EYAW*F8Q>%v=6!;baV5~nr_JQO{qCP)( z`wko251S|ex&XmU#HjJ>I^^O`N{}U{IC8ZFRX#5QCHEFbc}>VP1LUxpaLu7G=uf!& zFA2zO5y{jfy}D!+g|e{u1fd!SFcDsEoiMfR8Baxd8~p!E8SAc^2^XXl_<|!GsAUd5p(%xA53@bzW_D03uxC4_ zHaD2#_S`z9;zQZY)UfOTxAG*;pOKKc7dl*t+Sdc#a`=C@{Ovm}{dQq9r9zNz&H4Yd zh{VonZY#!T*5Qta)+1x{~ ze~JHO1MK7K~Gtb5>FUN>~z(j_m^vaCXV9)+O*m7N6Zff2oF0b zZH8#Yn_5CZJj76&RUsW=s(~c0%E8u1nCF;@(EH>z1#Xc zrkmozVa&w9SU}>Q=-+IL=?B+mp$f9W0RFz1SCoEj@D%{DBQj~*DW0ctnnY^WQklkw zGNX-qs+17?BJvt^Krt!ri)21_-UD!Jz(UJf;04>Y`poeWl{uRJ3OE19_tspi|DT4P zin8OTrl#D%P^UA)YPYNHw^milJ`E3Z?V$9QJ>o4)@|F-btFX_Jz%HM|jZDJ`vomh{1 z<4;RSAraW3r^DEGmccoeQ0ywlkjmdTQa)kfRV<*@ndr(uq9G~FmQANbSM%A?`~IVM zNva=rU!f5F-ZQI)V+mNiz#7io`rAgoV;z_aH|CKI&XAJ|(!__D^rWSsm*G><+#6uHqZ+5uLO5AT*5IQmRafhz1g=Op&P7b{qeEw6^~hiIjN#ND zzFXABCc@)g84fvgHtC1?zKsuBq1?sLqc^;$?Q5vgHy~34?Ec)i9MwwTWZx*a5%!vV zq=OTW`A`b@r+Wm-L`k%B^qx|glYU@kjd#xm%Bs=6p)&D9?cKXj?Q`tAucTbZEjr_a z`L*yjlTx7V`0s>o*F*C=OTVHeeA05-pc%8-k-YA5eWNmF+{lUQajbh&S2Gq%6&J~E z`%uM`+zak&A~H4wRl@e0`yVbkPPh_@K#6~$_%P(>TEO-i4h;jD;v!WaZS$`tWYBgk z8i;*TaODSIt@F*L2fxh^YFoEmE$}#QKDAHrX&)J@Sxxn=bqyGjs8y%zAHDgnWgU*` zZ9ig8p1sL`EBHp1nf3pKnJSq|cu-wF!5*0M!(-a%d-9mrDZJO-6ONexb`y%g_~fN_ zyj+EiyeGAuWmRAQHLCTrE=A3>6JMkT1r2Zs)G@7l@YCDDWr)3~Fcl9w%{Iq&u+Y>Q zQ&MhxBCEp}Qn-^x)iQd?>h;j7+~hfFUj^lFR&pLX2<#j_@WuD+fX=8>%EGBH7dhx! zm?q$WM(P@vwfY83O20c{1`!c7UO7=H{TjQrxbhoYpRfN{XwZe9TqR>ycD=X*&AGpp z=kx=w1N1W>oXwIe8{Q7p#>#+bT2U(A9S_dCL&$(rOD)Qe57Z5{L4G=Zp?L^d_En8o zGsPk6gxaV{%pg>+nD>E>cb z7A<1@>@2=XcQVA{!` z0d3=S+}(h)%bYR(N1!%b_Z0I)q%VgN^tf-0W^t=a!}Gx_Lu;h17&XmQJkX!A%u&z}nf9K8rk-U&Eq5|Y0H z!(Lbe&xEdFSD5+pm$z(8(H5t~fv+zw=P$AIEAtnU*SdXGcYme^o~6z&PTmCKt(xt> z^vhRNTFOgxOidPk5nrg^?AX{kYW((}$0>2z`&5G6UW@mgr?65woo+mr%gqm9LeBmR zH+!ylk`75o@AT-eMz4v(Q9l?8fdnI0F@=4WDLhDOs4de!w5v9Gmp85KLzzJK^M}bc z85Rmdcns;5DHz5&Tr@E|CU8FOfuy@BI?D12K;8h^E+=B~DF^T*UojG-jcl4rh5Vho zj{~%yw4{lpIQzAYL-I2nvi>b5C3?eq_tY}y7YUe%lJQDmAwa^}1yjKBZ{__>X0NkJ zlkmtO#o_6T{Y@!OJmlzpHXG}~-jXT3q6Js1LV(=T_4$Gba@1)ewDteLfIDFr0%yej zny2;buZAoxM$LHgOu?Z0e>_G}x!0ZM15S!WK8w|n^Ot+Pal`wTj2V(TbOK8Q@=K=cysQ?`?S}0esA7jL zVrxyKaH1;=eq1UxKzK3W20miM&n9FyMHDE?@Y+LfD1hqu*FQi?&n~CVTj&Q+k)bh5yj67^6~m-doc_U#FwxYm4l>J|WB5El_`U&Z3LL8_x%mBt-gOatN#! zM)ug@*+oU>OL!!{gBbCbNkH0af$P6F-a|}TPVZ&)3th=W0<$(rA_cZjA?Kyj$lKw? zrvu){SD;ci0%mnhp14vDfwD>nx$xl2DvfGc5>W{#@uCzp5v@^^ge&Rb?KOpJEz1-{ z%ZTo^M_)dQ6jT_GO~ptWDL@tkG@8Bn$O7?6qg5@BdNyX}-CSVu@cy@8QMDICI~Vuc z4rJRp2QwwlFm>N@6{q$fDw7m@k64qVIjl`}{%nH)Kz>(&?umu&z07lyDh0)8Oi<6;pv1MG!;6#T$CtylmxMMrtRb zFhA4VVWl*NRP!aLMh%#Yu0|S>Z8~8W_$603FUc!**ABNsu4ghVf->56|Ne%pGjaYJfJ2WA$2t1ps#Xrxsy2iB zb*`G7rY@qaGEZ2^K!oF~JqEj|{Em1SCjCCzjuQ!_dNshzXx+$$V4oU(bhW461B5|W z=4i2UPyQ4tqo^uSJ-x*z$~F<UrrndVv!Gnf;82Q|GD$CWs!*K0E@$stdB`Y?@ zm6G4-kEnj3M`s?qd?A>4Mj*>#iyUkwA-Z9ow+gq8pCw3nBub)1*SoxTKz1I;a>oJT zAbp094ZAcDrou86gFr_jRp->s;aS6pI!_VUVehkgg~Nqmju0d3r^@k#GLT;}E2Ek` z3e5VCeA2Cd#E4*)6vGhH1&cG99{UNIka*ze6FmEChs{TNg8sXo3ePwsIp zyrFH}-^7e%BwQ->}woCPE z3jG|pzk+1XqnO8D%slt?^}U#EJAZMucGVE*blDQ8c;$V0nJMYKzu9)RDI^v$y+66= z7;R@^Bxluv^kD#=jpqmCph(M<{Pw56$9?2(3*eP|N|Eu?A%1+BJ|WCFKA%gZ0o8BR ze_~$Otj?JElYVh+!MYHA>(J-7$Gx*o-o>-1pTX2-f!cT45&MdfZiZY$R&r%_bd;7p<#Ku#3Oj}G+J-a_U&GMU_sqLG)xBS+y6~u^9y)WrC{RukggWYPTR0O4}FpdQavxvx2As>Pqs%r ztbk?_`)rKo!$x$$-u7*LZ6Aa=tUGHae#wBg`>CN}5^3P>_+vdZO|W@L(iigEys!~v z#kFzK^tuVn`XPv+4jt*w-h_7sLdB(|t@loz)L4d=I10c~noI8>7!6+fW2>a3f4WUU zkzOL=iWnd!mj?H={w2j88irk0m}p|uw9L{% z;ti`Lzn=yMrhy~CHVPlXQqn(c${ho=4rq;y=6Zrf5*Yp9<--e`OqdE=f~%P`-S-kr zN|ICPHGn=fPGR#GH4CJDakA-%`uJJ&#joV6$JYajoj0!dfyD*gHD250Y}?>T>q!e; z2IN0WazpX5`2$7Wd#ZiFcvNaFZp3V|o)|rd?O2@>4EEK?e^-PFT(>1xCRd+w z4`z;z{QuI|8H7lR|D48MiNqS`XZ@Z(A~YWMCO!*ZhL2)>Tw)3wnE!M}zh2v~4E!-^ z&s+LxHwZ~<&7K$p{F>SOym%1_&xgipXv;g$xHDmg9lS!Q*$=-~LFa=2*_~0X&qw+( zq!!tDMN0j`kuANd?Y@#tTclLQ`ivZ$?+HWh-?@8V9|6KGAtz2=LjK#xQBl5^VcCS` zkQmn*E}c5kCXsSiP_TiTAj>8E|Lhh8HVHGftQ}!8BG2FiH~F(WugVZtes4ZGbQZu$ z-qIp!?io4*0LE9})+Pdaz10_TB!}|_$X*Y(bZ%DYM#&6xXw^$V+A7OB#W(r@;XcYk zc@s@eIFw;5SFtk9bL1Espl9kg$ zl&hfFeG*v_>!~k1IbPA~P%Ef4?CY9a=3ynNU@Y6;gi4f}T-uM1Rkcy! zvz_+~0(1&j&Z|!k16sTtcexN{z*EtxzXOcMimP80`=8p*KLPZ~Z3ic>r>_rYfG@aw zmux#5JUX3?I=xw=0V^*8R@|Ex1uP)W?s9+1@@qH@-Q@QLEU|m7J{M}xeDfN_RU~Db zt@=Dzq?4BE%;XDH30(I$mEDR(oX$@4<7TU1H?kN3&Nkt=Ib}2INx$TzTj=fZn(Oxt_O$1 z(fKpHZ0%|u)T{ZVRS409i1ddv)hbn+?bbXN82u3BYgXTq*?OL*&3t0?x26&VZ=)*1 z0+Zs^u(8dVfi~gb{cJWex9@ZF;Z;0xmeu^z2>qN2Gx+*EW^GkZ3max*H!diN!@h%1 zK98|82opKz&r8lr= zNUR!fniKEr{=>2{GWa{oA|s?Bzd(%U6SW^T;)|aXXev8w~SUhnzQ@ph`)y!I-W$t+oM~ zqH&+x+hVsmJa1l}H%Qs$jq{&sEUPd_!R&sM?ysHIi$SQqarZE%9WceEPflY*!Fl7Y zHJF;%QzDHC-FVDGB=^9z@V!ljtiys7eUW`pFp&fGy}G*NMvWqu`_X$~Km*3p9vV*l zdV3ofGG0C+QKA|@3oDCL(LkcK*BMa@ygL6I(LP#e^CJq(@afqzJRXo8Mmb6U_>D^Z z&PS^jg`q@{0JGnmR{n(t{gJhv-3|r)M;$D%uW#=HB8?atV=^dB(uU!>1JsZDB>){No#Arlr23Hw%?`8u?G)3$`EKq6d8p__{bdwZ_)vw}l zs(-vY%*1R%EZ>^z!H%X+8 z9z{V9ctHMH#e>hOHCz-0a!s7u95LCBM-5zNAShvMcz4k0@=VF_KBC%inEq4IU?8%I zbcpL+{o`Tg2qA(v)Bxe1d;CX6xH&Z?46pmOboYHN^GImFZv-(huY^s-OIiPrZTLha zFejQCQAp&Q^2#d*xdD$FHpbG|_LogE0v;Y+V;jKyDq>{Y_rQz?m}F-z0@U3e6B8>Z zX7DUZ8`|NZ9cp4(WmEsncprdf;+6Pm68qFbMk}KBl)&+n!kzfY_kOqkr;I*ev-r(c z@Bz+&3X(Y*I!M%^b%UO+RAq^3=aQys72fwk7)YavzhV$qXfa zHwr5u|1A(oI8RXm$X^>!s#LkP)UXP6hp0V4d@K?fAw!WexX<^#D?o zrCi86kYMfmTtH~2#1^Nx%0TesRptdJbJ#JtBOQ6GUHT7oGq}3jSdssC#lQfWW3j2r&=fr&7+Vj^GBt>#E4w@ zR4>mKXwMX;O4*N@?);hW^Ny8f6ZX{8spe%~$l-R!8*MU#9_My&|7T~YUb0-a25(`8LpsSn;Fy3o zTnrUc%KfSu*lo{?ByfCqanLzV?XV0GG7D29ag8LV{vTRormmxlaGtEo;%*6NW?@Na z$`a${;td!A^hi|dI*6eRkL${eQ{>{^iVu`xig<}%?_9OJ3un&%ARcXAnk)HC0~lW# z*&Z?+F{B|H5e2R7?c?wM%%%GH=UDa|lm3S@Y#!OB`ed|0IoS}7u<0wrt5s5#5&5+p zzYErQbQwtFnmVutOH1Hl&Y1GLf2j^=vf1T2W+>n21175!`R^*dV?{#jHUMWp<-Ewh zRpOq4y(Xy`^bOOPXzhvh$BQFLItyjGG)e+7tR0#4pu zT`$KomxEBf*-8q@RfLn35bdVxi{Dw_0^o>H=&BYTm4Me zZ*M%&u*rqgQ>fvB=AW!@$79ea=hZtZ zVriHE=gGi4_pf;=@W&98DT;aFwW@}Yf1sX=K>0q7IL+xYu^?AqAk;4w~F za5TpqpFE&E*1hbfni3z`t3%j;ObDQD>m_Ig2f&6@MsE3L6tf}IahuFUT6UXWOyQbU zQ>5_cWylGoV)FQqu19%7tNQ!#d`JM2miZ+*q2mgWgHD~|v)=bnodBEhTp=ZSAs`xw z&Vd2tVla-rqC$yI2aONLw`V$^_q$EAt^>6{I$HCXNh_gwspqY9hmB-XD*8VdehdOii@rnAwy} z)Aq@e7%cM{*BMx3STQZ*XH_goi|e6MAbH+q^Zn|9;fq9AbX)Bt&@uJys=!{ai0zh@ zpnh-GV_b9E_RdsO-VKxH$I+)_+_3ynl(+g%m=m{d87Kwh7cw2G7)x5-m`GN~Npn%% zRwu*A>~K_vbs! zju#Lr6xaj-R~ofEq^qPsd3zvo{^zUN>JH@g9%}6(EUN43v8B&rRxba{=#K}K?%zP` zVok38DF9DVbXLXLG%~3Pl_Ihow;~&HXQii7x$0Lh?sQUs?GC_OZsa-wSh&%{o$~1O z{8`c1V}n8dt2d3Oq5HrCfhkzhtND&M+}@({w24958V+&qCz7 zZ1sHewl#8H;D>(F&sPp@;59jkCE1Q_6bGM&0YD#h9_Twvf7R<%mDX`b*=>DYA!hSl zlU41?{XV#MhOX;3p%3+{q666aCwVL%f5~vGfa=~(E%|+CVk^$zx6_WgFCHAGJO|5s+d$q(_dmGKte9E1+1+;qDTfFFR|(t zM#1Qyr^KfueuG8AI9y!N^@+>khO@IY5I~}HR?7>Q1%#m znJxJVC=kMsKnElIRzv>SW~jot2JYrp4FVnpItr3GW8-=NsJULUGOin+E|dIwNVnTj z+NbIp)wKo5Ie}gDtg9QF{&tNYJ#;eG?Ome`HV7K8Hg{_ z*C2affPOSGtHc#*;*?la@`<00=LLIEvnh?i2q-i5)M|xHXdg0d)s|GfCuWOhACJW% zQX7$H&Hq213WL#bhc!$3Y*~1O0-jjZ;%B_h&ktjUYp#MV#6!Ri^PL~QyglxX5QLNQe0h{zjl6;!zDiaMssLfYba03s{`-6OJHHo& zr!0MZYo-52jQ5yg^Cuc*EHapAA!ks+k%hV7KfM0ss&^g+s?;T*l1L$1+%K>3d5N7Y zc>}04^S}*K^jS~JSM;~D0XVRrQF;SPGKo{14kK$R=o0f35YSD%nwa)n{Mhzc?=_4x zMQ(JF;WwC?A>lMl3vm}C3gMQ;j&zSC9azg|PWL~~TWK@-uz210j8R5%tM5ZjRAChN=Cs z!R#6EkD+e#Z!)&vfuxs5I~Y=7|2DcVosj=-ctIpp;NME%1^vXP``2$=v#!6qsn=%S zr_B^u7ztye<>{DJ7<;wauzaQl9;r+oWs{RTf}AX(&0~CJ#;E>RLEll!c5tIqY@ZE| zfc3p9B##XgnMZs^nu2D`LIzRMpmuy@Y!JC+nZ0JyS7cwU*7E^8)%~-ccbPW84Sx>L zH%td;iQDA4fg_V|2R6UB%{Mygi|;-CizIEW`!E>Thj=9m*E+4*KC@Gg-7<8yTWnqu z5syN4lZs|P_cm2LJWp^1+~|oK9FhJ)4{u(!{=;SVr3$sbBwRVw;sw{H5{cE*~$k$FXNfim=@A#T7ofw+5FGLGeV*kO|SKp0P%OZOw2 z6{e#uwn}nzo1>C>7>SuVM=m&xkN>M6-e*`%QQaZf${RJrLoYJF+ZwX-Y%?sSm*5h< z(j(l=)E&Q%ru!8?Alt2fDm+7;Hqg{sw@z z?Kn8lgN=Ye610{4xMu@Bd;w)~+%$fRmJwO8))d(36Y2+;2L;7i z)pm?8WOlU5xZw8l_2D(E%zVn3jpY9$ue$L}#H*d$Lbu}KBIixKWjdIt2&|dg{lv?S zIcnPbR~6Rm+vx!?BJ5ZfA#}1dMkFyKCIs?E&&4fsLPw$KS?B8?c{h)aiy&>*EsYr( z!T>!0vQ`d`;)au;M>fa>a=V?van*Og_JrGUX<6*!5)NV{#Gw=pO1b_!Sn4kLp>X7%+<*DH0J1_T^s_8!K#AqD#5)Hac1SI(D+p&% zOHMh8u+VQsu6kB1fpAr??=$FR9zjaLSrZ@tY^)2ak2im6c`UxMO9{KJH*6d8yceh| zZd2;hJJhhc@mfAxu`R1tCqg@!JLz5Hng#KX5zoIFIgTkzgTs?rG4LWtEHJCJ`f{N57@IV{ojdPU@kbvU>(Rc(775$NA~Dw4|Ld^N*~b^L4fmn8411sVU$b_rPS36)yAv)Q5r#cxSt%Rr zp~b%IC7aR0Pxs;Vh$_y-#Zazekx~lao062Q`%0eN)=^(M8vx~`v_7#zdU}_Ei`}+8 zT}v`cn_IcpPej}uk!eKc;>O0J!jy|D8Cp2DE9Dzs2Z$c)%HCF!wz3kajW|1pbsQ>X zEw{e~@8M&B!#(FtX(MBN+TY5pkqa+FMK`as34t3vB?WU4Zv*mDYYq~UrSqEQm8t6w zpALe9o;lLhTjjXG+#&Os_@V1mw6Hdt;wR4Qs%q7@Y*KGvHbf=7R zHfQv(vk(W4)TxZDvj)ZxCC9h6Pt^O8nI)!G;u+4ynONMf6)kwbKIT2nt!9YX=;BTsMwUEGfu%>RknKoTm@_&eH& ztbR`YGxZ3l$@(kSKkR4{{~1NDzK`Nck`$Aa#9UUtj*_l5Tqe@1)Jr4mm9&i2EjdC9y> zEFR2|d~Z1Rt_N^yC&ZICAd~vCRYUllg{wgT-pkRR)h?YSo4PmjDnjt!j%-idfOHXZ zeDUo;^8@N3bRd0w*GrXx-Q3Tr@sZC#yuxu-U`+q-2uEcb zKOlC3Z@^lN{|Nzb(d;omtP&3{m{Eb^+4bxpxhibqB#prN0;an88#Dn13KbWbR?NYh z)Q4IrHR6fy;y^)i*r-p`sczFFCLNaAA6;Y%@gdp=C!X%eT`H_-aV++o*!hA?e$3961|8?^Fy9iONHEo{W6X;C|oeGL~rOtB_P* zT|%PdpMx-r6gf3rN_zI@bV_i}kS)ye%Zc5NvS)z?Z-7nxP<9C`fq zm1D1_&-`%H*j^oVss}hwV3#*yoqLc+VIF+_n#?Zw;(s@S^Zxl&ZeAWg%_A@gZpIZ; zS5kGjOpZe-6_6%e^%|#Ob)NYe(gBc+ED~Vv3a;M}1WtsH9;PRJ+QG=@KU(8D2?@)W zW&c4^)Vy;*)TE$Qe3kxYITNszV*{9g<^zjKeE0Wk;XU<~f7)H@&R8BkV%8BUlGNwj zq~cXtkO+xx^K_ao@uS<9ggE?^d;IllAwCEv!y}TM85vFt{5l>Q8r2s8$M5RHl6M#t zYMZnl$r&Vw6O+skT4Ph8d^9AH0!cq)BhyzuaP`+uzG z{QhK%{169_5Jl)gJ%GJ;@qyqzm@WaPH*9~&(<&4addUJnCr(MY@dGU2YT*EGsvmoN z5F?7RrcXK60e`*wi&JVmXExaYb4VLwQV83P0R0S+NeG4&)(N3{{lLbPPXIh9%Nn#i&^k4VcK;lO>*WX$bt8 zx8v~kZeUOm0<-BJFtSKrS`4p1Wy_rtDo(edU2b&yG{ph32r<1iMWzAZrnS%ztfqo* zXz`i+3Rbj*#SkCt;7>rv{j6Q7&&;xst6@yM)RW3$rPQ_H2;l{cDR6u&c+{F}P_61P zg0uj5%&&)yvVIHeC)t+-J#@#iq58;r8#U<|K3JhMojH##l*oH{Skuar!;0B^Up}GJ zR9=g^AsN3eQ)s*prx;hhYekT@?dW}-ld<+#@mMz3;qYDJ+Rf9mAEb)D-mUdM9gkL8 zb!FC(h~)nRT#?I%b#0|J9-llOO?%|;k3o_rYqhRof8!hPhH zTfxp{MeD1`C~t7~Sj;1oY!{)aQ}*Es!kyNfV5Cr;v5fPle!>tl600e#c(1wO&Dr}_ z7=1G7h|ggY6)j$Hf`p;xNiQE6<0ql)HtLJTUQ+&VP0ci_f+TM!lpJv_OJMc!FgN#3 z1r9kFqBY;qm#(1ELfM%wc|}iou~XVy4!iM!dnLa4rj}6Qbtr3gsc@ecSzl14O3`+Kssd*CY*Rs^1xXVznLggZ+_v zQtD+e-q^LO((5Tnuk#U$loXCx_+i`wH~+}oN-!x6#gwIt>1WRTpg#9_09Bsta{^gw zG?~2Z0Y>EOJJZ}n+|tFvra2zOrekGsbBoU(tg(o(rjB#(5RaffZgVLf9jEqntv1>> zn$G*5+K_3DC>JDj7 zX;V_LWzwv(j3)=l1nFR~S4S!hSu|KUCmltvLdcnfF`CrW=ORc5#ga$j4pLh!0@K$# zr{8&mC=d<_35E2wI%{12($j zC8;}OcyM7_HC41a6pHo$j$T#VO&X zRu30To!f70;5WU|-Fdx?^wqtFXHOW)f)2h;5ame5YIhccd7t0tiktD~nC7iw! zP{yQcpQ9keUkb|5MyrrA{Dt&MLnmARU>n^}c}?q4vvffn z^?fEaRA#CeW@`-gEC1B_xiMW;R4Adh|LoBpXd$;yx!Nas8ng(F=sG?^(^kqsK{*kO zcrwgxg>27He9>^RTots9n5a(^ScDZ@Xe=!J!Q;X8yD!r0n&KeN`EcKghksgMDNQ$! zZ9mbf@?NVk(}2)ai%&n2kaE=dMeBHC=@jwp<_6kR-Hwj)<)sO}?S5tHj|rE1@ly-d zwGs@370u~R5}C=Aa@a|PEpK+!@kS5pihrbx!W$;tUz+II&OXgEk4);-jZY1(_fXI0 zSZo!!pX__<{cBv8fN7z3Eal%p-^TS6PBmulg`4!b+jUOhvD3xP(!US4-O?8iu7|6y zadkc2cAh%cidP)_A6UdR28mx`YL@UtF(EAcl1r^<=_MA9*uMIBn`3*S5O}9r*g@2C zQ0>0o(_tg=?T@e->&hO?W>}z_gfF+k?Tpd_h{}2nP9NYcewDTo=AEgSCjsViK#|rOr3onZ%y-sUs03Y zSn1pG4mpF)&*?I-pY}AVElCpuw&Ow-n=FxXsf2%24HetXnLjLqs$cXQlOcWbxyAFJ z>dzttTP*%Dg)tza>j1d5wwjQ=10Mpb5suA2OQam_BTd-cMq&=r?seN_^=!_oIM$lJ zo9P@@KZhJJ`iu$Zu?QxMB)|q;jvYVLabO35oun?Eag#VZn&O(udt%@jf(o&EwlBG0 z;GUPJi@V|1WUu?{zUB}$OHFHDfs;#2g3GU-0EDiTcat21<5m6eFRr0uUP1AVYsn59 zbhUlyk|XWhD!)a)y59u!mHhHac1h?(;t5IUg_xajI`k&a*cfc(ue8PKDeRXm76e+p zK~*~<34^Ex@3&1Ds<%`>TM8#> zk5*eK4^p#9vjwlq%p`F%^iqw9o%w!n05xsgJ(PNLo?lg8+!@tPqZY~U+N3t+q)AaG zD_F2@A#e6!-TT)BLC^yQmXMeq{jI#0jStSOW+-ZK)yKrjG!bV(Y71`vYI<7TD`8=U zd&wCeXz=!9e8LHm7X7|6WNL?ZD#=^X65`03K$lIl86Zs4QA$4<%oqft-UPU7nt$N5 zu;w5Xxa?&s62EM;YGpzsd+n=vuUX5&nE!2e3QCDNejbiZfsDfFYNT|3gOAurn<)G9 zEWgd|1X-VHVIhWD{mX$9z1#Zjr1+M$!1Ul+O1OjgLEHm8fhUKIx?5qHbpag&s?qC9 zOZo&DWj)Rf>{;r9vv9yhe;0kDdmH6()qXx!PyB4#cX?5!uhi*^R{+)Z+M7q41|%70 zq_3>5N4qXXF2N{VkJ}^T+mY*?v0HBG%M|IM@o^%EPb)(&n6Z1EICes2{A@DMTrm7Y zD8;6D#4(Ybq&!}kY^@Eq2P#wDQT}4hh{d}7y%SwKy#D+`S~$bjJk9g&|6 z)nC=K`^^^)6x`*Fd7#XGeHFvboqfB6Lf*8_;?hg2G0P*GAs?tvMunw0@%vx9Iu5>v zzJe{z@bY%3SL3oE`p-h@(lXFAin^_NYEeh9imuy_mE<>RaXg zyZsLDEH}$uOXh!NYDx~2a8@=NAK#Sbi)>KU|hj1w(fJ(u4O>sBr*j8UifG%cM9dG4 z)gQFkzMi6GJZjZ_!P`?>paT8GDVXi~k+AEhn@t|7myJ3buDOxDOVQ7Xv7S|A!$U8% zaFDVj(ZU~kwR`O!qt9&6SQGd<-zx-V=e1EG!m}8mo`_O^O}$6^jzh?R6)%mKOWd+1 zeod<`HA`#5EY78F=VA|5vZ?tA)p-*vFa?gt5d>u9wqlu@z*3Q8vyx3D`&U!x9u2&- z=%_)+LYHZ>-PfeGw!?$hY7YOEruBtcHqpTOb(7nUnm}%XDEV{_%(2C)oUE8Ri%8cDKH!WBcr&dBviLB2~=X5TC#JX@uZQ9t0!*3N$Rjm;RXy z?FY87(u-f_60{^%EOy|%Vw~8IO7ekV)5Rv~?7J{}7=q8W=+~iSc<+@f&llHTGp0XS zBUkE8xsGCs64^iX61Ib$10ghz5PZkYk-mUZ}~9%H;g_+_bu|p0;_nJA?ohR>x*8yn>dX9V#-752858W zK{PX=+8v(}qwA`@>#A3@Q{O*~5yP6p+IM8L4Kn8&O7fjBD?OS?h2ZvCAY3}AbYw3q zzhLZ1?Aq7MGx|Qtn?HwtPFx+PGHAVM4?+eW7L;xtueB6-pC_!wIv#3$zgu92hmf*v zqcG?XHAZb&+}K;Q#{rJXU4Po>yw^VW{Cy$v3L0ut;^RKgSBc-+>KoLwNjnF3;Zx(B z?Dk!!$c8~pG;QHc_to~RR9l?%RS?f3gChH{M2Yu4rG8BGmv82^v-8CSC!X^cJ8$Up znxbcaOm%Bw|A)28UM|}9`Xn10>jxvC5`baIvQ|%aD;%i`@ZjeybXURDsh6=y$9${B0_4#Vz%lCEYMZ2iYV%?vbrJ5k{C7y3*X&10I8OM#HB3Y}% z_7H^Tj2nGRepznUzX;JN2mDxJ9w>5|1(rUGgP*H|CyI5U?*?6^T$^?sQ@?H8UG_Yl zTssB&Z5BTbx;kJ-` zZW|D^8zdblPq%z$NX>!G4@#^wJ7gn7i$G`pd3J_13-&9(JW+GA)ar*dO&V@-PwKIB zd1pmGmU<-{`A5|x&uZ?G`^y(!ET}WAaLJi=6`xY`WNBkbV)^P*54v+2oCtf2KkMxM zbK>T)-|F>-#iQ$3Lbs_QPwgKq&77qP|ETUxn&>uV1sfvS@xcBHErn~?fFi_Zz z^0^zJ=mY|5g8IJKRPa1X&`y?1>yYzeIrgLesi(0XO)s%HF_*vtaV^$W#n`JFBXxSOo(1D8(0`Ow4CB(Lz3*Mm?O`E$@oGQv7ic!ei{P zteA5WFUA+?)1kh#B6NLl5ENQohKa=lK#-;E^w{ zf~L$|?;cKT0W)zUlfS{>enLOhY4_IIN5w6ps2TRV-P=4V}fqq;vgA zR>_1ZiG?;ih6Qb-dpl{^S-AI6bgP;&RGykAh?C2W zEafv#=<~Ww^j8zlW93pQnDkTxo`98Nm18mTmSU*kN1{1l2XXKavj;)NR#26f4!MuB z4$*yks+h!2ibngb8bidN`E;h->UK4#Qjs*HxUiDflo;icE1yWgxA?_%)D_`Yx5)^b z{|fib&lR%Jb8W~#*CemUXTd1l&ga7*d)vGC{mq7rL;mK77gQ^3W#Q_t%BZbx-hm$B zp7iNk>C>x zyw1J((>y~EuP|o2<@inE4LU1C-Vqi`D>+|okYd+O@83|gJ23hw*_-~SvgQWomqX8* z?>ebsK6P!-PjycTB^Z*M&sw8xYI}XHjVPh2+u`c=1@Z-_*c55~hNM~P>?MP-VAf%{ z8xi?^J;jFC+JefgONeq=MHv{TCi6lQUC3yt$-7&X(AY@Y>$kahq69<<$F>crN(1qO zhugkv;sW$NsEK|T8ZRyOtl4iRp$cpd)zgQRL2z(UXw4+)t;Gf&<|B3G52mLA9QccE z>!eqh(e?~K<(DNJI_V`NF&EibN|8(+t{tyh18MKRmespWa%)1%Rvy0w8L*f@oToFr zP0d=rDSb8u*Go;8(Dxi7vq*Q_XV8t25Od7bnqeFKUgdSC6Q!baAjHfN_^I-Oc@zS9 z{`Klpw58keYIeL817P4t)84djyn_he7ksU%alOJc3nR;12j330&^r2FZZs&#Pz+6? z0HmR@v$#3Fhk3P)o`%22b8J~n{{9p^8w}yr~Z0j`NkKuf>5$$;} zKf@IS{ht4RMy|97FDON8U4}YKTGpwa9&JZ|8R_{@)(|5gQN^vB+W_ z6RPJN^+C#&8NB@+u4GfQ_?SDCVmfETf32H_kr@ak{WCCBV5gV7E;CvLeTYLuB9d4! zh#&~2;=>15F#D)f2(GeVpmgMOzTZ(7M5?L7wEkvw*O&Rh!c2=uW1?gfgEW&LL?|`x ze^}r3dz(vOzZK;8?vl+eE7xm(teP2JNxMQMMbMk)b}R6-`u11CUlPZ|Y_kPsr{4l^ z6R`OlPG>~KIa%z-hz7Oq*8i_*En*QJB-bFm5O7k zswwy0a-%kFUM`%4GDKluBzNn*sFNPe+97PXJQaai^HBP?yfG>eZz=fKg-ovQ;_p1F zbt}${Rjwo~tXGmjSy&VaDT8xo@ylBmex(Jj2oqv zjl9s!eyxW;MYqG*&$R4KN5rVIbzF!Bv4n0_I&7azH8FhM{+BHP>=J}kQ<#tDKfoxihB zH^q0erCqNGy;Kf5O}b=W+qB7OV{#oGFS2kBB4pa${kCwE9CA5YV|gXu?50iI+>$ii zlpeXfAYxfzr(j3xu#dwpz$<8}kPTBoqj+#U684~Tuf_h^5v#Xt-Wr@mY3;6N)A_*# zYqgl`%1z8BP42tiAYpWLiP87>VHfD@5Xg1-OHRD!u{~YzTb#%b{=j#eU*5UHK4oCj z`byIh*POZYp?HL;ltj7iv-^H2_$8Ba*PqYxA(96N6^k7B^}Dnqvzlbts-@b$7ynK! z8bWJoejz8$;+1@!5sM0DH^;*yBpq}dXr%&Fqq)#xZ2I-RU>24Ul|hP9TWU*zJuz3g z-VZX#Sa(mVBO?`MtgU$FSR2jkFyW;P(@LhIndHUPH@}>Le7|U9Yv;w-7##5@N_HjU zqg%35XXilYO?fpzifcaf=$u1gdEW1qMj7hzzHh`o%!~HiCfAEa@%ywXL;s8Ri!glM zfJ`~zVp6B295Z^XiifH(>qGl5KkcGxIeK61xtF33@PKb+>T!k-2#0xl8zk7FgZhju z^xI8HvX+DHuOZ)F%rVQK#odrxcam z$Dd`n`VPxbA*Iytrt~VWADq26y~#>RwTq8H*>31WgmCv)++SQyS-ODLuIu8?bGwZ~ z`BGbDw$Yp<7fVm!O&*}6A8KAy%*7k}``QNia`-6@T2Ukg%S_Jti8&i`8QpMSbec<4 zpFn6KnLe<_M3bevXQ-@%lIDgG1e?ex75ttLjKs5z2xG=7N0CHL8ae6(k71|Dj0Af+ z&x=|t%=tA*m^jm z7zbTuK@W@mK&nQXtHtk)02ltg4vsUG4hxO!euLF2X0_4#gPKQdcedN@y$X;#rAG$^hkV6j$KKQ-W`sFXuURqj z0}TcLJ^s3#{aQY{Fk=sc?fou0h%oK-d=`K=bHV3AjjLt z*5jZykM*osAB}1)O)kmj4nu01(%Y)b{?I*|h5k53gZBkjW5SZ4a^_GH_x={xqb~k7 z*asl>rG^URR){C1rPnpng!>BD#4Gin46o)pd+mPpe?|I>RGFo*GU8s_yu@~HqZFOxO4K~QNq}E0+kge&uy5lx0HdsV z`lYlvZ_Rt5)`15CyFkw2l`%m~8}fR6x>FzuQ{wq~jS^CJnPlO;KJxqM+x=!Awt8%Q zBec=KV6ctE!dccn7JGzY4_3rLmrYY`iG&@OU<*%0}uhXc% zo;!~!u<7GI!I27!@PrpaVPz!9KKDoUu}xm?!l0~RcN=Y@^L9nnSh;~#Y(wYEp?5Vk zbh944#cMo4uNL>mT+LLoM4n<8C{QyL|6teH$JWTUT)isO))8B-}1d68%tiEe84YzmKI;0e| zFjOYQpW)W21|^cTDoh3!`^alpP_Srd9-Vb^q%i3o@QBVER1UOt4pM)`sBrBQz)EhsG zmq6%{U)G9{ugim1s#}xerUNJbpK)a+Y?tEiS;iR6p;tUr&(2CI{SdKhS{ZsU`<6Ey z_`;ok9u2(P$U*lTdN_UeP?FGpX1vw1{gDvU@?_Odqd)y#Y-*_YvEl}-UgEifX!(Pq zo}XUnH%k4TAzODl%r1ryz1-KtnNin4wT{=Iq6)WnYH!Tj7a8Aeszll-J<{54ymu|Z zk#(e(Z0&=O7YF^9?EkdHgw3^;7Cq#6J zU8smw3HK4;sYTY?@R&Yua@?l{=iKs#S)myVzIZ~87x1fZSL(vv`ya~&5I;blD#d{$SPvC;p_{umH>PD~>1BCdPiI;vgIQbLQ^+Od?<}V>} z%w777OyIZabGO5WiAf~EWV~fmW33Sh$7N(@Y<=FEL0#F-?*-!8IpI7MK*mJ~n9u3W zXEHihWlHn<8jy~W&*bMJPoA2*rrJrA-DlPM>Xx*7X%1S5`d+M|iBbwosbQ^JzZX`? zrtb0gt3>dAEvxBr;8sI@b{*|zB6XaT!b}@u%XUagIe%MabITP!5m$mv>VKmAhlGV%oeRxXSrc!IgEexKG5^#TY| z_HFrWBcAxQS{#WDLL|CJ;!bVuw9t=Udt)HCVZ0>EA%|#B6?6mQs1SBH_+JX;^|hs% z*E`T6AK*Tj5h5ab(yv$ng0@oMY{h@-t0R2cy7}`gzGvbtW3#*IIQYd1H+;Z@R^V4^ zM&ys95j|nV3QeA0C}#&BsN)58kVnuAvsIu`%`A*zDxgNfP|qNe=Bew3R=8U}n-#4T zh9%_nlz480P1Ynz+Pe-mjPJCV=iIazSsXW9F|0F1tNvQQjEQ4}zMx5Ifj;GzN+jXS zzpA*!t?dQ%BBMZe&AY*ogB?m4xbNpx_#)LbqYJA1%2db2#}*szb_t!6F7iI(t1YBJ zC4TU?BF;=L%44N|>IhOj7CPlfi$l<>at}du4&R%K>c_Zo#yu6*>4w%Hg z3u6i&%U1p_#Gw5aGc8NXTgtrRg_2#qy|u#5?5Dn_fOP!F}yvD+`- z%Jhk!TXIZ${W6PPwXU{s%3kqbKePe-(!WK{nj7snj~#KpYKC4JU)cpdROB59yyX4& z+v@AB+`*>#;;Q8*PJH8bku}hW&3`IBd_CVQsa6Ee*|$q=ZpDgqBYRzriGK=Kl5uM9 z1o0Xh?#9y&dv)56zV;3sUIz-kw$hqHdB4T?3l2{z)V@ZhmD*tC=L_dL_Q^+$av?{dy$`tzTRRZtf!H=P$64p;MSyO+hICyp^qAJ|7)mKAB_=#9@*FORoA&-ZQgDmKPF4~9vH+mB%`4do+&3SfslcZWkG-ei=YFVr}o(w{Kk6smA z4;YmxsI$xcIiYmW-cdq`Z)v1;+3~5mVyGe9i2cyAQ>bM>4E=-F(G7Fg?X8dSC#IlGbaO zHzL_)Yki#_hAw>iv2o}O5}5Ah)KxTiVzsw6P*zAw6Fli-<&N82J@@XOF*he!8c-@r zbMo0r9W=kF3^h?+9N0)Mc177sFPyv!lgI6Tpx*SZRUSPe2Hao;xbz5gY_P-|lx3R! zWwZ+h?2JBlaJrQ4^6ELPvl8adb@UY;{bq9CDknZg4G8?kU~*wk`#G$`&B@aNHO(7c zO|o*k^zSM#a0P1{V%)`T7Tc_qK^@EVUKKYifry?dL@np<4@K56rY_Unl8oI?ONEHr z#;{gs#Ma$KdD8oB#@G9IX8q|4=?>o?98LzOMN~?94|1oWzOO~7K|^aTgmWy zxo{hZ!n;%U`69&Vz1w!Y{k0Lg3RTa-(8xd0ao<*0YG>tLUu4YX!;aa}An835aGYgT z>}$nH?&kMhtnxS=crDIfJufb%6N8632q-*G?UFlO3Pc2ayD1nwHCxEDdf2-{zffg4Wp-j zcyX1_Y$-Zp52oz;cGI4LiBGIwDk1U~-NTWOcQt*r_5`x@YmS`z>3 zvmXsp%}oNY8J>!2_q|XU3wEw5+ofH(?PrTt@=Y|=cqVz@BSqX&ik^j5O0b&E2PMe! zz+HCaHaMu&u0zbLP>D%O%iHPN@();h&(QV5JYmdm1Pt{WJk|_&SOrvqh=M-2z-M{O zu)&rk1j{cE{Wk(0Vvm$-)qyOzWuS^cS}fSf3;9aU5qvy9Q^I4wL)Hz`Sk9Vj0ydkp zaiTPE#}isCUB`+;bA497nj4TkZ(CsThJe#?9*+fpp>_^^&4>&bGiT8#nQ3m zYc{7>s@iq~g(d1XJ%tCaM!5a9Q2aQRceNS zsfF|qmy>gTq-Tn0T4bD;x461V&|l5xHV;%25kc9w=!wI`vHQ%o?vz{kjyn#ETIH$I z!52WgHV4xd{>pOgFJXAJ3}8B2JqkB&((P9RFQ-V{>`8ybEkAXRpqguF96l=(xUiZ$ z{;BiFSc?dvqz@l0RDE|dmbWn_GG+ZqWg^+wL+bNveuX3_xXw%5_^idprr%H||0_mv z%YZes_)gOB4Bpzz%N_nNLG9|{#BQphH5z*Y^=x%@7g5*L^KSnB?sIbhQQ--L;#}cZ zYCvZw8^o!^&z@Kl1{$IRBC53xdIxTX4Z4sYUQ&9H`V@4p=cK0GSjzgg)RHBadts_L z8<)ClSn_>qochFXUvC+-X!hrIGujxuH4_5hqATM8ZHVwy12Y>G51&3hrTL;0i|&EN zV|}qBTBhzUv1CL`kf!Onw`&`PZ(->YaRNmk&UleQ1nc{NFhnC2N7nn(5f8yy9#dj^ zG)d7#(3G^wM;znh68*^L6E{2+7oVZ`#3-UNQYzcytF3Fs!;rizw`Yx@mq6~sA@M6a zm0KapOuw<@lB^vY5d5XoEQ`o=qrMiI@~gx@XB$b=m5xR{lczM??|EcYr7E!7<1!4) zsZvramVfv-t1Zi9kJ!rdH^38qf43V3M%UP7UVp!Rm_cosdR%{e%vsKF9xX0mzlA<> zce5JgW=)i)1%T7+?AjK;`}IkZoDbY^i%P_CV6hAajH$sj%<_tw>|Y6~dtTH4BxeBZ=GOrl4RS>m@=fgqT2omF7(C|YSO z=$!i12$fN9ig`GMBxuClSWhH0v;27TM-Rvtj{D=Rlyl#=!6JA;Jo_6c?z|XF;%uvj z9z|LTIfN15VXFBFEgoJfjeGh|SHEi!$YZiZf#RBS@5AHY9AMDty+EFuB=~4o^hA>Q zOO|FGN2_{dz$#On92FA!;#yuAMVT99rUEmV)G5EL zj@1wpcu!X2gd&J?RrM+{Bk8^nGnh)e$3jpV%91jtl+EfNPRXq;v^?hpTTA=39=PZm zo#KE0uKKLG-qf{P`R-b>>qLm6V+*z_P1Kbt$~7GNh&SQ&E*D=G*>D||2O=S?S$QQE z=EkuTXr#K>Bo>(Jumd0*N)F6LKe+W=lN{Uzjg`D62n9&kYO0F?28A(qz0<~VD1zz; z@=V1i9scIye`h<*)4{Z@rX~eItW%4r?XI7FiB-Sv1XcWgyC(EuRjB;r6bu!PM^EhX z-t%yes_^BkrK(w=D>{uc`qfd{I^ivUI1(vdF98!!CFnJ`GdPIXBij#hw)8}yS$^;r zOG!1A_l|#=!IL%ARZJ~x;_+|9r1bk@&N^i*#lWrpp`yPhchB)lJAlvB8PAg0bEc7` z|Cy|o;ukA&-&qWf1A{$Sm9iGeV|**U9b9{XvU6`uc`4zO{kDWNQ^cGrvquOP2B zKKY@e23r*V=to@MT7U_U&Hi(9=xnq*t(hXxdTgoS+N9q0 z9pQn*ikcShK6z|8QzKMS?*6ZshpdducVPCDCRz$cAY%f;y71fw1D_Se;Q5QTfS79? z0=OF6Nu_K?_f}K)`{CHeR3Q6pQAhjlekRZORb3p0g?rv=_v@r`Rzv^{xnAr`6~)WI z%)2(_Y4T|=J`yE>asrgoLsK*y<^Fp@#Qz;Qv8Ik1r+=!B)z1s87pB=;znGAGH&{zY z4UJ^)9s`p0IPhlb$YLthUdiHKR z+!|Q8Cj}Ok5`8K4)cD{jM2!VBlm=KpMGwXz>Ma-S5y5n zdwU>db@*vgAfYHv=)>e8>QPl5ToXZw9#JWnq)6r*lXa6-yAWNOG>W}lT@1P{w2`f1 z3#g$#S*IGsyO#>gBWH{laVlmgmIgc(DgYv#q|k(Q*iLi1MjE|qQK73{SX!Dt(}evv zT6)#fK9d7{oy9%Z6rO6Q#D6^UqSrjf!g^E6rHHh*Ex>`EQ_En*d#$B_KEt)<>4OQeI6x1~=X9 zkkH?j@hRs+*ZHpPv64~45!ZvxktZqUJd)R(P-6Vq{J@7&=IR9-b~uKZVJH{C+sDat9QPMAxGL#qn?;oxx%A*%NK z4mSKj3)cdoAhGLpQjAy8!U#MWR~~j3N&IOD23!S`8$nf3eeF%2iJMtw2q$WJ_o{MB z0HPv;F&LRYFE$4kn<=DaN+UTDTrpz9$uuS2pRg95FfV-cW%YEOLzhcz&qp|i$ZYtU zD2PJ)kyAAWLDwUL?^)%2x3@vcup+|&n-x_H$oM`Y{rXy$`}w*;AlMR;v+?`3cNcLf zycg;1?khrn3k13zAKSO_eU=?-NRz(blyj>Mlzp2sZ0=m=#ynH#b@PT^Rjaws5!2>} z)YWj*Q@N-%n3DYO01f|D-C)Y%Hc<9=$?@TCed~BwEd8hM9NY^1iy(jerjsc)yKGEF z+Y<9d@COWWEM^6kUv5w7*2DVZernWb zG4QAB7imwIfh9ChI_{>6{Ey;ON=%iLtMBFdESU%y7;myU_p=K7`GH0djHTu} zWS(#=wo6V67*o&#dQ81kTdO&yCS@p@l~KEvjk0On>Qzv!b2=Dg`|L(dN)JTBxyN~o zjaqAI8{Yb>46hrlA#Gnv(5Jkr5G$9Mvn^YHNZV&-X1+<2I=1=nyYN^sD8oR)7r*#{*zk*; zykLP4xWl&4d){KH$St<;7c{*rEBpdI+1(zw6#dq`rU0I;a^y4SFMhg4pi~6zg6E;j z?hC*x?-e+RjXfD3OYJ|w*RHjn$Q_g+EYd)X8xF=w z#>!_F1QPs3OIKSwh=Ed0aPu_%H{ShLo8K=Oju7vlr}r4r{nX)m)nQ8XX|AInZdZSJ zS)BN-UxtkQfEs@Z_U)2(LxC;}6FHiq6Op_%kAcactd&#m=e&L7z1ROCnm=ye@Ee*bfGJaBu4qUYwXsUxx0#PVal_^c<8A4)`nNN5k@`FoenYPQB znS>{Ncn%(OCo=T+OnWB_FA>#bN-X6YV*b38in37`Ok0awKYIYsi{%U3yvoO?OU7no zKfN_Gg)W~&s%evj(#HQWM~$*m5b{n^>+*y6VaX^p3Yaj_+%5XRAK6IANQ()Ze@yg% z)M~m8Ed)pYnRIR0j)U;%_4KjP2415R->;|_ zM)Kqs&XtRwe>|n}!0h^% zVx7uQOv==m<2gB)LWcFcSjQ6mIV>oFyQik7X5vtD;&bt)On;d4JoqVi;aNGp^M)sI zC=id9NBNb>VH(E9o5T5^ykWHAmp@^RHr^-tlqN3U+~MXWB^x7xZ=n13^boK7-6?tW1vk_(vi%?)0s}WM&ZS zK`)j&uKLbUr2UB+zej^)@aB0OwUUyed9jRHxM}E{19!2w74)cqtO2VYiP(9i?K%Wt zGoq9wH}EksV^1cJmuu3u$nHF$z}?gr{mqHPmyP_>M?B^D!sM@xREhmA&iC8rOPrEX z4+F<3RKywg0~-?kJ4?0Bm=85Tg{~psmGM7BMRlDwbo6LRTpyO2(r42`MJa=kq(+CZ z*72rrJ*rmFJEWbB1z{zxkI7N8`w%WzS zx_Gs(0c5>@o~Hs^&2_O&%u1(V$%}@b?nkLWPNPZKaVB`nLM3=u6NSwJvJX$NKOA_g zpYWmvI2lZSHaD?aQ#js)gV8FW9c7*eT{%pQfqkrrf8S$dtFg(cq3$msPq0}uZed8n zUhsNHL#CHR^q=N^PL;ltyF2IdKqg6(!?Z=$jNaP!(PwNRU|8OxO_!cC2q9wO#OM9y zUhPJ1)HG}mA)v#!^0)W3zLz9xbAd`%75x)6KuU5XqTmiK^?rh*5kdghA#CC$E@uBS ze-I3BkRl!>6)4L);XjcyCPg4Km!t@@V-!B^jPoC@CBWv=-vy%ME0yZ<#C1&~R*t$s zMh}F~eqYLE7j4K|pMG`UmQV#>^S`sAz98PmlTYV|##cMtCIf&A$G9xZzQcz|C%p8enShIXrT zs~43P$;@=*?Gdj`{yQPmFAIB%l<&oeF4udbKn=&$`x!R)bjNz>qST_1$_3ClmL^t2 zGxq#tAM6^kaw@ph6(mt|VaAM%9~P*+DdNJI1T!Bp9MW!$sje`9=FsChh=q~A7aSH^ zmMVNSgLnoQip@HT2o8Bo7Yshw=q(rZccY@Wjf%wFPf+9BNZ`Xubr11S|mPVA4f3w<4t6f4)FNgw6G zKiVwqgtEw7ZLAVVUba%I`X?CXg)PWaB#AXkmn&;PkL5I4tBzjox7E6u?jPQp^e zV}RFU!^_K(CJEjpXBS-Vy+A^4Hw_>R8lld?0I1k#1j=;zhMAd8o`NOCEyR|)q zE{wYq_KroeWW$#lJX6|VL)Q4*o0?ua4wqcHKK@Tf8-1GXXrsuqKCNLV5bQx(w3~5e z-D=_0p`MvzYD2l3eDk}0|7Za>g|b34#iKgj$HnGn{o?GZZN>an12|Gq02+sCM#o>e z(e)T$SsPT(;$)UzWtHj|8`Ve+={ftMF>ij74yTpR?`2Gj|EF1#RayW~7*rkl)LTdH z?J8)5hjE?A!P;1|#_tEcz}rHPr7~&Bt&+{(H{EN$WE1$3iT2PhmD)$u7ESX+2WBI9 z2ta=@{i6wNdTyGn3hNjh)BA%QjAdz1ooXpY{KJXZk)%tf< zfs+K}XRsI{W8cn|ir8Z=w)hz+O|}D|wzHj3~6>9MR#7jj;zql2l80)@q)OA$5+x1zy@0@;|9q z6SJUOf;vr?2mrBUdsurdQcZQEfNmh6b_saM>E!sBc-Zu>g-LA{Onq1x6@mmYeKo@a z=_eZSrhg+#Hdty4x1C!kP4e%}j}J-x?LN~NH`UdgeBW2t)=zwn`&@5F+tx8;673s- zg}2YP4h9!J1NKL+qTX^Mvb?^NO{##|%I~gwR79Ej=oqsdV`nZ6y@y;bOHBeIJxE7MrCz z3b+TWLc@uq@7z1G^~8xu3~r= zl$@W5&d(x~SVwVQr>*5J8e7&AHRdJ+sWI)Jdsdbj_5mc&e{~3KLAbV5+&&(u^q^K| zGqYpTUTRGt9hr;b$So&q)gT>-#wUKt~EQ zAHtI!W@M7mTGsBn9}_BPXS0-BD)=6rIdCW`2amavyRP1p>u2JgOvXCG@po3_EA24T z5`JgRZRvAXuWc>F2AXi?+sLuXM_VjSHe9x`!4qCv0c*~rxS>}U-k8d&KmDiuL5Xu* zW-N`A$ce)$({no)4#-tCND1_?wan|Vt zZ+O}L@0_fKGX@VcfB^Y`gfH*#=U!$EZB))mgGb8Iwm2e@0KJ^N44r z-vGBSn9#X;Rm^TR3^U))wfbl*79L3AGijly&t7<8l9$mWbjGU487NJeuVgi6Jy$K|ypEte9}_T|!ZVqk_H zj78c5AcuCJ;v%XmX9RC`so#noM=DVybhnD@30>R0x9Wl( z66;5k=rcb082y(DyxcWodn~dls#Aq7v&90Wh-r6Z$&mcPFG0gTf{trj#j16pd{k54 z-2-$BR`Zx&Bq}SUu0!a#x|( zp()5w`(bteo5EdLQhwzLUm{X?(6Kj78(zdY^cTR@v6OV!u4_uztxZ4CY^2Mxr?q@< z4s250&Uec><(rU$*dKFsc{n3WVm2+hwQSR78afGY>wsd+h3+$Z#io8Xh4RE12wSjJ zbL@MrJxy2poTfr-)@iy=>Kd2YNv~Z7|7qo-@ZHk#r+W)$-vSHMx=Z`Q=e+Tywvy`M zva`atIMFy2Dc!9o?;MN+X6ANo{F+-9t)XWSnpwB-ck|G(nIBENrap@$b$|P4+IW<+ ze5$vnGf48R#+5#W^lmlf@kE-3`HjYQ_$sizW-3w`?}^#nMtT|k#^%lFVfA`|KVmC% zT`ry(y3x6s4wX32{@doat91Tf5B4PI%w$SM%PS^~`KirLie00kHPL0^B=!jDW`R-` ze~Bn+vZQkdQiO}RNi7Cwj{<&yy^Vg_Xr$gv4rw}{ZhboXs;wtx-`&RjZl$4eZmcoI zNAkZPi)`{x9y571yO^8YGt0XK=hLI{X>tGq&WReLOx93o+PJqy#~2aa+Vv!?DC{C; zlbn7v1TVktiQ}bdzDS&RY1+F0s_MUS?P&V+tZ6zk;NL81ZQ zuM|j=g_V#p6!n}YZ{4}IvG>B4qaTI+b5}z&q2VoJ_PRi88;LL!I|^kHdhSBr!8szXLbh0c7Vq9Z-**eDzFybzw7; zHa>453-|F3a=|1SCqBzhmMdG|SXw^Lgo0NKp;hek>qsIrE|NuiR(R8R@3`Lo4g0bG zzG20sVri)J33^SCveR@O2_3yv_B)<|1c^cGuTGR;&JrG9cMj~Af*?YRGjSZWUozPK z2k;H|KW~g_y+@XQh-eB4^D$|Ac1%A7)Q(*;p$w)lE}aLPf4W1!9r@YgY|c3>`>qcz zYM8*IQt8Nf%x57v)X;3&HX5@by2Reich@I%$$WX4bALG!QX}qvfk%e|(r^3Lj*+iI z@K_2`H40l!Ck=1rM{X$t&PMKLXeR9ftX!yB0H$Z!;M2PICy#Vl{NI)($lh|~(I+AQ zWcflCC_Z;53dV`2b(aq_5{@a;JpfqV_N@y}JkVS&8Y@pFUm*pb_R{%?v85ro9I1U+ z_PnV0Uy(I)0dBhC)cuFn%*;vhi+J2>1A8ZKY5kT#4Am|| zLpXfwuV<^rQUzD$rsEMV3FFU>u-?tIkc0@zXAW$Vrez%b^sui@{kHJ*^ty;4E&o z%>c<_)J;_d)vFI|Qrj)ke{r)tvWS*;nrwK7(ul5PlqncMC=`#1>-myJ(EdEw0{X7g z*-_(_O8(L&cwqSOk3X+DOuXastkzHkXsYInKniZoq;2An@%RqJrGaJIGiLp}Sx!pd z+wxTAjM(!W2LNTxom=-gbt_sYTi5P>_fv)1?hUJok{&QTzBx?%z@u4iP^|{|_Cy2ySoyWMq@iFe@0}vdP~=R_I_9d7K_&N)b&|ST zs|nHP1siv7-n~o-`qBJxBvBoMz%`jeHB)nOqxVG2EfIx?OAZC8p!*U%wim^ihD*JU zRR0K{lwSRV;79kz3`|x|kR`k4zzY-p6>gbeZ=|%=eDK&v$ppcL_nPguFufv{>;drF zIa8|p>;TYlI|R#EFl6Cg@`6{rs)wvHgPlq;4|n zpsfd?;^D_}OgiLYv>;j!Z5-eXl}|a+K6^h5-ksvA#>o&&!CEV4v}1@{%a(SbVl-ui zFRVbJKV0izQ~&dLB#oba%veHCA(f!KWnJ@Yq)^3It-i(t>?Y?^;Po@Hw?_a{3+EuJ{UYjS zh5K%Wx$W#>hWWAmw*LMsS$oo%0Bn<4;O3tF46zc1J{u`1pK5#&(Cgdx0S?hsq+PtH%7 zp8n>h5cP-T{PnU^bpcPFt(D+@y z?YX;4yjuA?64fD9_UryGF`Xvh{B2LUSS+o_*U~zP4#l8HLAEj=EDL z7=UNQ-`a8PG{!>=Y{T~28%l+uF`?RcC{|{R`H2J{d*@*ETMm4)y^1Lw?faQWovN9T z6@JVLf@Eyb_x7NDzq(OD^b}US=YhDG;{k6`r|yt6KclOO%1e;X_F^`dF`;^k6KJX) z5@tzVgo;?n@a(OH@0%&K-^}L3%rUxtZ07B5IzU+b5LLX8bFP_bvhMtTviS@BwP!Ea zycd=gC~|`BI>uzia30f9;@Lh^bt3ZpXYd*ljp-CtTa@P#kUoKv&7oi(et|LUXB1B3 z^;}#iptaO2t4=RSIk#$Y;xwX?L<_jVes^2wRkwo;o+gI8V-iC z2X~)aA297eFj8v4(^U^Lt0~me3d%!irBxL=po|KEPZ4Z~fFH|EUJGV^5g(pHTLAo{ z1|6=64yMsM7-^-yXNMX7_&k;{E)<`@U`=cHpnupDyZnknPO3V z9m@nq)>__aHVHKg`p|^ha8Q-~Lk}-yg8oLAe)ba}Bv3sI(WG zSC@s7wRr}dWjZIwD)-%Sv>z}vD}NUo05F;Wcl>G>ds0^~yaAVbSPXwL*iBF zSIbq*F>n+ZhVgLOBWL{DThld39pJotI9f{Y8ohozba(2jT=EV31Sclv)J!IhpJ8$! z{H7}v5^Un>pBxe()+(j@1%A`~uK__PpHEJyz8@Z~ulV?zT2L~~%Q9_tt46@!o$!dT zap8}K2z*k^b3FRz3OF13Z!6mA(Z0-HM2TOH8_;k$7oq<1;dTQ<|HU1! zOQ%8<4Z)4+|41>4$jG<)ZJ#=({RthUK4wtKTrL075}QO~p1qesbwW%hBan>VnYus& ze8)baATDik)U&TG56Cg&mAf2XFjU-}a-X_?WD2<3<>x?)J26R|n9 zd+n_mgQEb%-4vIEK!kih&8`7hEa4k+W&4O3+wOR!_krh+5%i5D?!h+D!b;UL#<|IY z(LZGGWR*fO9(O1f8@&-5DXvOt{B@}`@e~+to&*vgDdyMr%{ue)sRFa}%` z5z)vj%~Zdc6HRxLR#w)x)I)G{D9+M(AgM4_NzQy4>LG!X(Z>r9M?~o8$j}zh;_=83 zSeSu8*QmXYMX6P_6r$rXFaVlF@d zjxZ!*l%)KAcXhhV*3NGvvF6h%R5cnOanmgdVc^~%V?~i+=D(6ptJ1YxD@8IlD81M;28bzM?uqbCU)%x!v(P6YiaA0OtqbpYU(V@z~Jh+fZ5~Jm(Wb`DZsfH-+XIS{L>&?`4_%LDcw?{;f#HzQ~f&6grIb_}mNGqqQkoMOP^z6mAi#MhE{z?>M zVt%L~bEpNJNUG4 zE?bSgG>R-sM)tEtSr61HHAOckdV^c*ZVzZ^EgYFnQ}0G(cVdO+a=2ooXyA37xu7ol zCKgCaNdYpmTaza-XLfK%zts+<8{UP2Hszk!bT#^kULuHR7O{b8% zl%S~sQkUV71SRmrAAFBprDOt&#S0oVbPnF`ur>^O~p4j&B8TeW9 zd64Mm{FCfAnm8+p+8=5ryjrZb;|zW(z6FFEmNY)8=t=ir+31(4UL;JKBL<=r;JSqn zr#ogeVQ1o68Z4QM>e8XSeSOPbFrFDKjZKaJlKq8mcr5Dc(wyx? zmP%w@Sa&ohe?+c+Hohaqp3*mBPGgIu~gihg9M~SVU~-s{j4~fbUV9V{?OxWkRwJzDRpU~ zeFoEI?*7}Ror~I_tL9+<1Fq_^71uMtFI4B^)&*^}lTz=u5%=7`z`uj}4+sjp{+N;j zx4@@IEwNHKI?Eb4Z@&|WArVOEWgvgo2K}39sQs)WRkY|W1wVA zjuE^hgT~RJ_(!{oxz`h0d^N-7DZx&}>vQcKowLlrGt)`WYU%@de>WboLI9r_Y?qTpyiDH_-TYA=idC*1y5=-C6` zA2OpO1z2#0A}ra`fY^aT6=kxl(=u{Pz`}$qTFdem-!bb_jUAN&Q$ZVEymH!@q2hwi ziQc2s6cL32|CG9VOHrRpRY+lSJb@V7G=B6-h$V;{q5qCfQ^}RzI4^p{Cri6&VZdOW z)`r2e08gn_qUy&#;3a;sr^cVo<$>-n_gb9SfR9rkJKQaB5j`@FXuW8Fu5$higYJ-T z!A%lvGE4rX$dH$q1fun8laYtq!HgG*-S>=!3Dtldh?mgv@2(y%53uO8-zYG4pyL&)s9*|1k&sp_oc&l|DVW9`AbrnZe5JhOsw{VLMJ^L6s2C2``UpQ< z*9Tk*bx zb7#P@KN(KiT-R%ctavOS@|S3St~t|d{Q*KDvO@j+h0=?kwrf4|)kCqlY_F(pRt4N$-6he{q0LJssikhv6=?3KTh3e#iL1S z<`Xz4f-!-~tSEyKa5mP^@A__spRha%=3~ z5GF5eH%+dh{5DWaY7vVxe%d3B;ce6a7H*CS&<}h3eeN;k_E*gLm7bbgwZoSe=9px+ zE%?o;e@;z4loMx@^%xTaom1hoFo|GaLeL5ZAq&MtvPV`A@W7%`vUe%d7HfngeB*J? zQb*|{t@IP&o^=#co$@(S%dP#WL2w< z+78hCQi1sy?lhe(#O&g6Sp{btZ~S7YmcP4^c0EoR>I8k!Qdw+ij$;H}XlV9aA1D;f zQ)ENz(%#+E65p@(%9biZ4;ES@)otv=#IAf4H6|q{9UE$Ls)YJnvgMlIMw|zFWHber zp6bzr(=7#mrB+^WCD4Mr<6#%hq?qN3ABC0^&TtUEmtg1br)Ry2ouWF9c*!0*)<rpNhl4Ov~tM%=lDa>7|lg_**)4O!EBSZu0nnZDS^3Z3cpN01^ zBwfzGS~?A(>c5Bg`t0mcS}+C?T@=+?X4^+=xr01uB`Aw|G>2kFU2*?m2lJo$r@e7< zqz1~L;{Qpud-;9&eFgdGQPi;ip1wI_am*1NPLy}wY5^gOCa?%B2xOVgfX+*#9<0GT zu6xbDiI{lN7&1PKkTIHGBeSfQRKwL_d)4sqcY+$L?~b06SpQEmM>8_<;8SebD{@E1 z0^ShXRNYH?AwQ?zWFJd59luW8t&n5WEu2T$RUiAf&ccRc2S+`DGp;Ag=P^F;x>!jn zhh}HQabM0>MtAZYsJ5S|-dqRV?`x?X8n&MrlG4Ng!SDVu2jLZP?#11*ebt7Lx-Go# z3b=N@{~U10eTN!w1G2zqhh@cQ8X`c9v|RIz<@o@H;3)V9F$$R(C>{LYfIaxyQeg;pmEi`_xoFSQ0Hgi*BXB%lfn{pGb1yL|nM| z;%WgELRXWNqt&rgMecoCbb|yhs*&W9moB&$+QID{lcEcb0j9E$*{%0zKYD3QA{8Y+~+8<{>t;L0HS0o z=9%#1aT);`6R!c&yKr1eH7psmW8HY5ExvB?aaMq#j-*gAX9TX-DMltK>#aw!p!`xQ zo*#9OQMVa`Fd8;s_&nE=F^9`xbl06u(;4%#ejR*qtJi`rIJz9y&qI#TWHOr*0Sf}c zYQ#}5JYxV(2~p9|rIL}O&eDU0E?X{)JuPCl3djaAOb!Y0Ht9`n;7tr%utMgN9~?2x z+poRux!Uh`+CON$^tm{ob8fqQ{^0$Wn*g{5Lk2NeIkZ)F**pUE@tCLWdfBRlr@wyhB|?+~I?R5P|e( zA;Uy>USdXy7a=m+UFMZ25F$SE)vDzJn{Ja9fr0id}rL zXF9-#g<3;w>ppk)5Ty!I$QsJrl-71w9azqM;L_UnU+b%0H{3VbosQ4P@Lx}j18yFu z6APd6f^Sl!r2>5@W7nEvhQpI_*j@1f-MD)SbKwgbi8+YZUXaT^I=b8*m6~T$`_AwY zVE7E)0$wbaf>JWS{4@Ooc zbgiddg|JPAmF>vt+WmMjdGJ3Xbb+>hSJH=(}MU(9Xnv}Dj0lWz@&M+>e1sX z_7w#n6DPrlt?B}@0Gn`N^RYu$4G*k~QhIXCCOeRiVLFwf{N^IUiv)sT6B^A-U)OWqf&dma;(bMc{oD(jeNqbISOp-j~Vey=gH;@NLthH6Ky3H^ zeQ9~`tf0Sf5?rv;^RFX9+0&WpsKF@>2mbO=U3xC)3+czT6S`+`Ze`d^qKMD}Mu4 zoo}9gSSI}txa&C}brW_UcMmeuvG!ZfsoSqg+WSo}*#p)U-(A&T;L9k#go4m{-W*E@ z!!TYuwN2}bs)(=Zwgt3z2z8?$j+2HL}@d2LwxLs zGJSNTDztJfl|QxkjGr)!HV%_wx+ZatYF!D;lr+@y$2dcf?AM0k_?Dyr^HDkB=mQw&7?v0IQNi30TPp)0OmeMh-qzvmr;4By32f z=$<({ZpJAm{O@F!Kb-8tGiorkd5DI{cdEG6A6~dUB9yN=_R(hT3+{}ZP}f`#`5AZf zqeMoV70n;DuA6fE&1VN7W@zt`deG9iit>bY!M6X0RL1Ij_ zn*DDj7DakZ4P;&bhij9h+mysG+i-$CF^f%ODY6Hj#{sYUBq;x@rv*mIIf$?xRavo= zCJ&_@KYzTB47MgD*nA51(Xf|*=Fa3;mCk__7mG-<)?Hg))o^9b`wL;zt`EmU@=baK z)Y%TpjI4#sp|DWfHw$wD~S8~B#1i?J}woM;6mx2 ze^oDv+N}YyUeZ969Syz5j-F7baICEnwlHaLwVdcwD+4W$fvfPqOvZYqBbttfW;i%= zFe3T#G!577#Tq+^*Sk5fbS^7fWxC!mqF-ikOQ_*hM~%?HW*LZupX~5Yh$ruxfl+mn zgXB>W{aWDOVoAQp-7|W_ZFW#;NBL%uqDVy@0|f7e)ljoCE^Rp+{f?E62GM?5ry*o6 zIQfybZy;kzu+jKoG!m;%N%4O?zh;X8!U0${5`R`Yp@rbJ_yr7u2}Y-lGLti3#52ZY zHr1(IkBhict9+HfhG5leT}~8*C)<;Rzm5m^`(PeK3iRgNuHlb22tx^!~aRg}NA*1K4-q0?~j0upiQ}A(ey)JJH?aT(%IY#9QZ)JETehU8~A)4lXHK66< z9FPh3AyVhSDAIi&aL|E%v$uc8C4+HxetsEhdV!h*;UK~Ku&(N@r2gpR-hQr<_UbV#oqvUIt-pY;(B1Xo7cb-bMe z?oCgffNkcze{gHik@2u%1A_G zqEbr;WU#SCs_|!7cdhzn{!J7m7(XUt8ibK|JDWZ zJof%j(JnRO!=Or~g^<#&PYL#U$LpN!mB9IYBdAwEH2yG6S>^0_xac~J5V$e&7SFoK z0Gzojj2A?(~T7{!TE zWB*BJF4FJ=1Xoi~PO#RPZ0!TO=OwQN94*hlx z496x54i%&LiZ&f-V}h`DkmJKov%m2qrTw}J|FN1?h!x*z*Z&lx%f%Hv`d0hHRv{`g z+(S}7=Lru%>A8EEA_fRs2N50b@PGK~81}2><%4i0`2_={gQZIP2}ex%WCC0@ELoTM z$pR;&qHzQX{Ob;<<9;9C69kn%eyLjn?LmhH+*;=We!R6Y1f?Yb?`%I)=+$BM>fOu! zI=4lB&Zi}gu}4Acb%piWe7b5_olWYV!yxC*sPMEZK}hl73ItWRUuLvN-~~PO$S2Gs zSdZ>c+wZ2L0`5;V?*&xex1NA%Ki(jeRmqNU%#0j6n~cLj9mxpUBYS022-(gN+2r73XYV8#CnAoH zbU4U3A@kVtclZ5WSJ%~b)bYnT@Avz@@8|RRdOR-^$iIG`iv18xeB__u!UQP1t1rhw z@*e*^^pd%J>iNI9zUs?1WK7sgABV8-pRv8JcP^ZKaa|^8ahl=(ms=ZV`A2A-FW!*G zAAG+a-ZA>+yK!R-EKA)Tc6e&v$f7l+CvlFNU^@0yQBnsRJBqt#Xslxm@cK$t ztr{L&GSFu=rz{eIecEFbMAAHcSOEG`_*&5Kl2iyndwix@M76AJQ1FAHQMv-=;JQgU zx2YM-yz8FJT}yQ?jHNu{y7m4hS2adzsMO(vP2mw)lbcz5)${D}+1KxdZmCmJS1o#W zK>*}tRn4mLHej>04P$r9+Mgr%@M(RT(WCDdK|U^*==x*y*shx!-8b9sqqAq)b75qd zwE^*W1bT%@_FV?OA>~F1i&KnUA+%+{N~C&OA~uebr`&}V)9E#L+Q z*8RN~^hP}H)H(g{Tbl(!n3O{~B()#Y#xruui_Nq#PeJB^pmT8i?D+^G|BH5d@nPtn z4Ql^7OboL`eO+C7TU*eb<41Hi^2wZ3>1UG)US9dH6HPN&AU&pbm&)8pb*+U<#i^8r z3G(Tds;8;~Rn!GlC;A|f+V;sG7SnHiG^1kLGqWdihYuKuZ7~`P^b?)j+&oij6n2_X z$Ha+m)fV+W>oOgi z#-P-xRJGOPl5v7a(+N7V*btNe6=&E6S}yKZq=IagRmiL>*3e<4mHVe2F;{@39Jo#P za^`Gp=Iq!0+5Y)yco)#tj`Gh+pBvG27$ivyj@bVlSCjq!;F6_O4TU zpANjq{(!eDGTnRykHW+yK8vk8XZFVB$ydOiuJPx-JpdKdSw8KdH1wg^gA zJgUP!R;ZD>J57;@KVp50Jl*`TXnIuGU!!j(GxmF{q&)w(%sg)SN{+t>o#Qv{5e_GR z=5mSxRUJizOZIwKZzy+P{)ZgM%2A0VB z!C%-nqCwM1uQ6Lw;+$vR5bvP*bz3A)+0}0yI?)yTw7QoBF&-92A9<3X=UlIQ za22P_j)1J;d2{HAaJ}T*!&{gd-3nFF()#h-emUd`>#Tw+V99PVy#9S=jp-KVgq)JS zFe&mDK{j=6xjyZ0YZ4GVSiq!<>9Y;5<^eLlu>srJ-+CV<`Lbq-J3Mn2f3c(JBz`)Iu4u8kbAbvHh zg-!v&Uh9*zNTuLvDWFA!d3xwf7e_ytN2vZed$g^Wz)edWwY6CB9f895cmco;&Cpyv zx10OZZ`_aOQ;1Ud`YO&W?0i4`e0$~`6TY1vvgSCkI*~7VGI4(Nj0EDq%E4=0jw8DP zZO;$8&UT_uM%hALtzWV}VK#TmzfW~)1T7{T$ka%#^I2&U@QI1-RDY$Wx{}h6AcJ;@ z`<^A~UDm*DGEy%6xb?Rca)$LL^Us=*<~Pjqx?1fsj3xHlPI5DQ8B|S<`Hw;D5L|vG zi@R;D8ysml6VYzA@ARPFBI2UJ>-$OH+AdHt@of#6eo*=K9-m*RMuxkJEj-r+5DtH2 z&am}+quTIYWqf}Wgk{#OECZ#U@LaoKJO3iEuJW1llxVgnOSF+jG+h}=G0M08@0&D@ z=sR_-eP5oX3w|{p#d|arFhK;P{<5Oz-8{OCY>1au5mQEhZp5OCWu=6v&DlioL~CPN z(b`_dyc1;-AC`p!OUitqcYT%U)zPaWYTDkRog;6d##8db%W&x1Yg~6EVB)AW_3ahu z+GqLu9r2R6o#XCZn_8yux*F%^t^sDMtTw5WNg@$Or(k$MFCd{|AT&-i^S-C2nY}Tc zTLRFJPLyFL3~)KV{0`i^EE${|W#Ns#bpzG%34n?p2SQjp0@DoRgTyv&}Yrr>zq> zsi!Y;Mca6=Ze54IPyO<)ZNwO#=ls@i0f`I9%V~5XU*&Vo)#V-40sNa{QU>b6aItd) zoL}ASX>cXo!JUVEidw|W1dS+o-}K{O;{AzKZqce`C%q(fpKa82T(35UANYT6E;{9Ic79~T;9 z4$iEy;(ozgl$=j%SO=E_wWj64!?8aeNw=+DpBm*!dzb7YN{cPQpvX+8b&fWx?;?$*gprO z@2$-26fFEteE*EKU2WCBZIrJ>7@K@awykCxl%Y8A9Lvm8>BR0fM`ti3!|gQn(@h+8d<_WjkMk;X3V7N!1wNC! z=GV34$0hY4Cr;`fCwFLyYDHnWlAXt9%}4Pe8Dx6XtY;g~a<&5|0rigFIY`Un_T(KF zXs#2ec8#g`IHUdw#SrYMU{D@%&!1MOl1@Q-P2%RzU_^0&FvKqd zts9Zt(CyPCUFi}m2N)DdJ*KLrPAdd%*M%u98_FF~di4Tfs15vX7N^29`b(>0T~(x( z3mH1LO1G+u;Ti^gf6gKZfw5)R6ry4&IN0?Byt~_)deS2MgYw%ZH12n; z;zsFMcbM|G5L7}U%eD`6yBh}X5p3bwH(b>|xX~z|OG?4CGp}BC1N^&s5esDX@@;#L z0jS1=d>X<|2Pz^p=ofPb_DSIFp3AfqyNd_cGA;pC9G z#5rGZN~^(<>43TU#}!Lsah}Bis$l5WhYvp2IGgn|88ovGd*c$puD|vdYaQJC!vGaq zPiN2bdp8-uEq6fDV(YkeK>r_`E+4O3{{0amie3A7*k~H%+}l$G2(jgb*Ncc9>yr)X zi?{-i=VF0?vtb;(uJW?M#BGg|cLtJroPXrwA3DF^ak7LYhF{bo{T};t(6p&<#~l7o zfM%ZenfJJGzVhs}Vz8_0KRt>~41fNn$Jw{8)~Sab&(AW>7sKZ^PCL6|8jWYZuLnv1 z10?)tGR`O$335KB)bVkCuZ*TirTNt+ZpRzPg&)QH2uK3Q7K2H`$rLA>|IPp6yr`nV z{`OVco$G*!x^YLY|9ti=C#L`AItPRL4fquI;P~lL2peFA=7+Q`7${k6EjoWg8GXwr zl?vZpj#EDLg<(5Gi7m|3Bfu}BOTODd=bHW4H9Wu^7#?Lhp(2-iNxwFGog?{K{JLKs zIw0X&WFG^5nd|P^i(_7X0>9?cz%>mchlST_Do1Ux>Qg^{N=iE?ZNra_e^0ij;6gaL zvzJzChz+b6pV-01cW!`qU)nvRJ)Yb7vpY>Ek8_H{@(7`O5?6qpU6;D?sgs6zf13Qt zyh3N^k^8E>H`F*WnD$~PiJ2(&&9~=ubtheq?cT(56#-I0aC{uSRijkS1Prm%Azj%d zDCoCQ@P4S~%&~i@Y7S!8Cu&C*raSVAg8olznXnVWt%W7sik~@Qv3xozY6m?#S z!<2@ORPZcW1Z&r^<@KQW+E*WS$>ZEsJw<7uVpb>mb*H~WQcDVKquL~Xrexh#XBZDf zo-F4Q*Hxh|UEwBP#1FHb@)BVrt(cG<&u#-ke*L?&w7{{?$~80=8w1fK{@y#&VnQM!M5vULlTMv&OoqCIi^~^?-r6E?>Ql#h5Ky_!D1w*Vq)o+a~j>u zw7?9*jS)0eF+A%K3+0K5O@A)%1+9N#dPx zPYup*p5xE=x-J%^eV*aIJ@5a<&n*DTtOjU6Y9(Gccd0-tOh66rP)mcrAA^?RtTzCun%GzfMR;)1(nFwZ|jTNi{E)~*H#N+ zGD6i&TN_nGJ5!SHkKZ;c2ptPJ>^*wTrIJQaFfg&d3JrvgDlaFISaH9U#=b`m&H#J; z>P?$Xt%RoNc1^?%)bgWEYIn%B7EP$_qoiPAu&Ktxd%az+^=co|dEJ=Dj6f=0{m{c( z%|Moq{9W&&u+HxY9^uo(x>X*7VOFIOPtRgoe;yeg@WxtE=fxX52v}O%y|+vOoK!vg zH9Uehf4_#gewo}fKkrg`=mdMaTEpw!cZb}SHL~_q5z|%3tq{rY;19}P7i+rCp61$)wht4ROJ6XPe67!yhTx;BDycts*P+Or3Ws^~iYc#} z&5t6W`F6g1AbjYzp#lRwIuk4LejWUM@j`blRX-`GUQdYe1gF*SBnX;rZ;(H3U9v*@ zSnkUbQG0=K*oxc6BQ-Qx`+flD;Ywxk5TunsQko?_nqG{5&Rn}MPe&(;;Xlg0R$@rI z82q#KPh0BneL|6uW}aXJ+$BZ@3A{l@&gWs^VI{0P!{atPr^MF^m%lhZEAF=s64PzRA-`C)IWA(K)OvoP3^!r<7~iT3en4y=!~ zD7QA>I@f~^em#Ae6sy+$}3-pn-jX!2K*|9IQFxo_ru;r~}Iy z7O#^0;TifiFzdsAPXYZ#5OZ2YrE`@-u}n^Gb;KeypFXx?o<8967N4=pbXp8tM!a_y|Q z>wrn+=)x_v%?Yp(4z9j*-h76e`OVaI(7V_be$d0Yoqy_hK6y7#_3OhcjQPV{)!d%U$#ncXM)PjtXg0_Xp)1DGNzJHXf_V^oY;GjCuT5#4pbG({z#+STbZLnP8Ww{s`YPQ3{*d zWK-@i%Qz+)WM}Bh_j0W(cdT4a=9$Q>^^!-QdajgHTW>nE=qKEW2+@A`%yGuGavoEz zO8M?dTtMnYs_R_bYM)T{627*UoiA@(pAq_fQ*5TNIp*}JgLu5qo3y*rxbrOaF0OG7 zOss3s?b=_Oj!`M;I{c`17lz#p*>;ND^=kMSjF->L^9K?C(Ai4ZQX$j6m{IiyQO|ou zzJ0ugKl;2wQgCS{{vo>!C98@`kVrkQ*@}9`ivWY1nI_26`iu4c>f!8q6lYiS>`sR* z-h_2t&_|;TSXyJq*aH8u)Y9gQx$zJ@Z=o;)f(ing5612=WIBj?b4-b})C+)k>Q_+u zuv{iT7`*SmOh*Vxi2#AUL)@(SubYD8N@Pb$neEpQmSloX^5^FKE%dOZyVO+s@ySNT zyu;+>=A&KrzBISDJu6RnBdKakjoh~RZq?=g7?6$hY@LD!gZppA)FT1Lt7Knz#IR6> znq>!~jA|Hlqx??*Qzz-guBH;z5c3GC$IlR`nW@VcsObpW+&z`_9AKGf&)-%-W{Yw5 z)AO!D!?0g;+veP_zuY${R){_N z7y_e_&MX^Mj%Iw$B^Wr}mA<@TGCpyZAARqr9j5(CHVD>)H*k!r^!z`|cWCCcJ$&Eg zzOV8j#^8YSy#IWwwFc8|#5{X;di=kJZ4Ak{hd(~a%zrB?N=@Rf zRNs|#j7el69qxg`{w*^MO(~W=k=(H(^NV_DftAar`?W#iN6R>7q4Cwg# zpZxI?-YL`zdsfx300nFOFYBl$AOrocm>dYb`_94>KP98rQ2tB<=y12nQtY-F)xIwJ zlUaX>bihTS&kZT+tGHd3>*zgt5C!+KB>sXZ%R;k(8n&T0d1R)4AU%qIy2W`twpuD~4 zmOmj~tbQ)Q)Dqy8%ULR$_t8e)O@;e`nlB(|_%xP;tHF_Qy$rj2D6iQ5F^;0#T%xMZ z#c!mm0z8=%XZXclRQh+aA$!U$aM;*QGsnRJ+1eF9j_Gh)E7)Qe7d2-bY$t5*DDbu> zGxqww7>uF6QdXWPrr#72hL8|MMC|*z0S55zkT3o3?$`5-gCamxFz^t?AUvT+db6}u zZr{505R@5WDt#NJOo-RjfI9rnK%$Zas7ux0X}OJx@lk4#SqyjtaXOe+u&s2 zU+`d4-LNY{TjJrFb4ame`a$ zlJL`ipYbBSIB%h|FjsO~u_i1Nu3~FvCe&25IMVfVbF^mw1mj$>K9)}-{6TX@dIYy_ z?x-oBmxWGFw)G0)u7=z#$z0nfOAM_Jmd;tj*5=RkL1pG)L;v;Prq;Nhc7J~DMxJ$Q zhuyO;1YLGpJuyCcIk+7h5BEZ5N19sJ6FH+yFWI|5zw>Sq$1q5v%?)EC=#j+HZis=m zTPIJNbDJtvicnx73+MOyxef6Sv9pGT+SL>{5%WKBNlnc#p0Gb5$vs&e?$nv0kD#}> ze<@|s>XHRkrr)AFjqFr7U}0=d~uPaM}3 z+i7O(lCfasaH=+nLyfY8i4~w8H(PAX92#=j;y9ZHi?)*>Qy2ebCS$@6#m;%pck<5+ z&t~b)E>ubVt6w!b+nYJV!}(A|oA7N^{^p-ip0IuY@C@Ml&dkrw#ym zTV~r8Ncn0p0wMKVS@~bH`{Okzr~&yaEk_!zKH~kU<|>V=-97VEi&E4{D7aQzYLNHR z6^|H4o^dQfjbQ>wddI-ZeR9?n{@HuFBzs;G@d*>yLo5|J?>5-5sQ6E&%)8v&wu@)k zVlfN2mz7hx4PR?mn+HP>DHZ7J$8HNky%x8`|I{4O|4Hm$dsm{#2`m&yc1@l+?)j99 zBsejLpwE_p%EkA(WC&t$4%fc`YUv?wQUiHw{Alu;Mg5we!|-zNwH-VO6b}*@bbi~! z0fj3L!o+3m^9$rQA-BzWWwVNtzC%Z#a_tc+6h1rkYJESIqa4+hMWZq zdQXcBBGVpY<hBnvk{7B~8r!2~;?@wI9FOjIq)}#V`+5$X zoO}hs<{~zWfF@fz?eR{b5Dz&SfL1{pbTH30c$lNgepBo_04zk<)?zgHRQm$T z5nc*+5ubmSN)@eB<9MC3(fHgKm+-@2Ld-LrpDK;gFTah5S912%y-6v4Yg1kOj2Us& z!AL(tE{%S?vsfmn-p`-}B1*=QAAvwRXBIZjdZq(i^}YLTgJH96_=jqm#H|*}Za$U| z+Ctud8c6xo+~&bbrL?GXz7`^N+vZ4&_m^R5JKOyh^$X+mcJlWa3~si&U1S;)w*KC= z(HsrUIO%0_xwPEzl=EO`D_Z%~=C#`Ih=1v-fT##4_6|fzR@!aMBN?sshN@@Yv+QZ- zkW?;d+%cNoF!F(s!+4bjx|vMjI{ zdf-%5c2y(O5d`^CwKp#LIo@0U9H59K#zi_O`N8`7c3u(8qUgy|Ayo3&X-pRyZrEwt z!J|w2f}Uin+~F=p4?(m@H;Qj1XNdI4L3vXVpgcHqW7KSnHTx>}qkEZ)@N2noW!Lla znnQlEat+#&L#vbQ>U?fPC%<-Y_{QTWvzwbKT_pdrVcq$&vzhZ_c6Rm-M#a&t z^Zj!r1fe>9!D7h@!0_x$P~}mglMxroDx#SI!I78X4`Zr&A`1yevU`; zS4jJPvs>BbtEkUAs+>Es)~KGTcCn=F2CZrCK>)?4H0mVcHB9P-0i*h0nPQ@y_U(mL z1-z)jgiDwgwrTB>#(Jyf<$D@@huh0pHTtW*C=>>r&r&Gysz%>sos)3_n$y-iKsDEX zlfV_QZqakQgZ+QYFSMdAT?EbWUih1CW z3)g&}pOhH9?)Y__>SKBEXDbE&N71qO2DPHz~PEVd&A#%hZ$y#Lgn)*|$= z`@^PvS}XTNL~_@2Pz*}p@0c+L!v%BXN}v4g>2bL=N$~sU)f($1qz)f!j6dpnCn+KA z*#yHrAUPj(NZ@>$*1gDZjlHi2fXR1BR&GPqv{4;3mE)~w)KvmkTM-`Xnj0lHMrYif5*>au!y69X4v`;tlNbS=kkvl`r)PslT$EO0dG zjfGx^(eU27Vuy4R^m&c^;HEh9eXhB^^;dA&%3?$f2*j$De;LD1r(pWL*S_gNV$4J*U*`J?(|)S!UQD@KO-V)Po+qb(}U^=MVyI75Kh-g$>~20JZ@U(SeL8(x^3P znIWU4qkD$0-OqmQA3qE^y;}u|m3-pErNekZ1WO5bRKU9Y3I7 zOrGl7dbDj>ZX1F4;gjBAKZH{P3AjBYe(m~KL)Z47XX@hg&Z|C)UN@0Zv=7^@_kKax z#1!eRBz>j8O7VVI;`Vvfm}kJ@CM)mJ;;+y(RvTMld3_Yvc1WR``m9EM zEg(-qP^v<&KLlCi+cw!e4C47%<|Ptx{%|+TD*B2N1ZmDc$+j{7eL66BPiVrvOKF2e z9cv17UtHp;{_WjqSbdw1{B~8UpWA;=bqg5~r6aj;-F5bKShf9sCZJ&voDG2KoUj{m z*3jL$wut_U9;ZxIDq5*tT(08{d??^b$*%7`{{7;~BuWHdswjRn?S_d+s!<=fG3hoQ zGv5RXvCvS}YM!2(VW~TuY7~AgK?)4sHdS$P#`$x7k*tz}p@|i^`wa|H`yoB8h#%ZJ>Lp=S}rg>@H zS5f>4u@^V4l-0#;T@NtEifySId@##mQFsX5FAD*?EdT5Z=_p_e9)7eQ8XX66WMNje-FFcVz-ZN?A$(HBB4^3iuh^5mrIT1_a;k%oe^#I z%Rc9w!SQ!*A1}8C27aga|KU?Nm4xpXX*QneXW@Jp*}7T297Efo%BLbg%a2JDaUKSP zK_uty6inZpiwzOeCh0Ef7XXHf0Dwn- z;K-$7^oC&{pC%7*oLpZwmt$ErBBKrRtLtmY$hJ3dIn0=y0jK`567C;%+4DHj*w`qaU= zteJn=GfL+=gF+<~P-~H7-<5?$L@Mm)9OFGJxWvj<#_VgE7@qQXkS0 zDf(a=4tC}d?}mGuHk=YPQtT4q6qYxh5)c2Jl6ReTM>OrT4`Clz=&VZ*1Y_|p;+&{fVym5;PC!q02YSI>{wy3Q&-1P}RxiWDs^?8dQm2R5YD zb-A*%Qqrf`$t*tpx(FFcs3*w4QBernykx%5!dR;*HWeFMq|u~lT%C(x`Y&CYVk1keX8U)bBX zI&fnLo|`Uu{5X8*XW(*~?*Z_cF{bfedFFT5IgN!&ki&g0oyPe|qnvENtAq64Kg3kS zuLd!Fz$xp#a9F;gKEL-!|B#;8GLvw>D@um&RCWuY@gQXvTN%YrmyGtogLv zQ?%D&_oo9|zLaX~Yd;5`f$z(Yec{C2C;`zKF*7029J{w<^9tfuX&HaKO|FVhIG?Cd zen|3?t}fClovdsQG~c{x&_X7<{JE@I8s){)q$z;iw|Ti(V*ByG z>X5(9xu-`b3eEPRVc0Lsa;G7$zesKMbMJOu)zwAsB^ z^yCQM+bi>t$a+$qg0Y>_y==wQ4r7IQ<0 z*8rc!o+Q3Jp>^T>#BBHXiZ|C`-P9gDF6{x$D_v8Oywf(~ja5YvGZ?wyl#s^dJL!p$TN{(p4+VhKBa|t z^#0A+=d&wZU#yt(hmSR^XYC(+y7*argFVx5NJp=P7cXsd1aU^cE%<7U&$6y(+~P=! z6Zq7xy}9hd)GrdR;G9R-wlS6mot|@uEEY+mc zDM|>AdPtdC{fNt6NV5HtU6xOjmC|6Qo_B-JMD;MF^BRc80xZvFr+UscSNXwdH6O>+ z4*FN!s5^e&h-N%*!3N0e=BAo>t`qGQiCI546aPH!o0Ts8c4nJB6h4et_Ek_;?+Mm2 z4*eQlssqt29PgBvQo*ySdmVA9k^XKy^lEmU?jJW|w)C;%Fp26l;fTkR3F=0zYi`hw z593PKO+{BXj^{pJ@1qsdYLOx?2u-E?)J^Xd&ASiE$tijq9Eus3N<|00Md_;k(^MZ^ zH+8=scDBW05O&N#fLn&CSk?abaN}kAG}vY4;p>#}gd4Wd$hL=qUCfthE*=5q=%>BC zsv~w2_xm418kSJ~Y#^eBQ`9vN53E}pem@Jm{=7Vnxo5cQvr83vGWXZZi4duy2gA*< zYcKYz7Vm4tK3qUT+mFnAUns2yDaw0*Oa3EghUdny=b~-6A5@>PUV&PBn|!*k+_HYi zZ%`AaKcwxPnO3E?Gc;blT-Xy?*Z>_b}BsLBbww z$Gnpzn7nlOV?`|v%s(yCr4HMAcdyeQkceM|(WdA>iigAV+b@?z98!`yzSi!qN<5Qa zYX9VBnm-p($W_k3cL(A%aW)1ln#*G6YrWyYcG_8%C>H5rzX@$TC-( zHB}YLlx4Rqvr9*fhbj#OUf9VkZq75!OeG>odi@yh!RbIvYVb`StYD%^euKgOB?7r| ziAH%t&#C~Pa6ug;9viQ$=3{y&5o7)q*=f|b)3t~^d=QD}0Sr1A1pky&nkcH8(JU%b`%_n z)84Xoo!qPpOMgE~xW0-!YxBbl?Y&O{)O)^f5^rL!6BV8kDXmjXrSn=EP1pplVbBBg z2rKR#fO|XG>R~}4w!%-3Z$2T4JX4xPht|+Dm_kL8xcqR+3R!m^EL33A#W+0zHuN;8vZeGocIp(kN-uevl z?%KEZa5<=5+y{3Ws9FgbPAg(7fD@CZ^1!57akXmBDu@Ir2g(6yDta}{(moBi8Ows# zG?aY(u6N&D4(gv1cC@qy3t6nv<{>8CfYSq;`(shWVP&f7X*@FGPtRM<{RheI1pfP$ zhd()|v#E>b%AUgho|MOT38jLy?XP)K@KkHZ(L6`yd9j3X_{@Q9^_|~E?c22y;_E*% zTl#9Xnq=(EPeWond|Hm9TPir(H*R;5B1OHv>~BF~MQL|5!PMdgxZl!VRvTnBb&*{9 zccjf3tK#9?Kd{lm=+T1;j;A0+_8rieV@T-zkkPq3$GBY_;46MdbQt9u)x`ZuDR_?z>W2V?jB`FcXB5CZ_^H(HxH z$H8l-d}Y}@m7sT}tnX3qsxVx)Rfsp$cVx%+(c63pGMIUqkPQ6q_&l|{ad3b?5A1k; z@D~#;G|}>Dk%0z~y#$H_I{v|O(ceLop~S%WcKBDh@a6vgNbBeKDR2}~NX(FTmbf58 zc8TM($+r1>$_&GBosyD|@!t7#3dHL+)1bi91XC}@>#y-6rf2pmBe|Fr;l^Hh5 z2S#Q!(SMuMme1CNS}s&ylXZ#yO_GpfSB48Pn4;IG?F&_CdS6XXm$eXq&D+mIuf z&ujbY>*`Z_wm>k{SBvUx0D|INEG~JStWCc^C4Hprz>?A5 zXkmaP3l#c{%mGU&cP5!JodDMiTc;VXZiGgnv3Hi$0D4#1H?>5B^G4Zl7NJ z&WJ?WnK>^Z07NekJn`$`4sR>kdJaE5$CE%Du*uIC$9ww^LZS*9i}~5QdOPS5;(2db zBBg@aT`0|P{NPN58pIIxv`t8oOEY9=Jh3Rh_>ya^r{tjQ%=3>5Wv#)IpwV<*QS{T6 zDr^IBsgBnwCgC|V`U&^QjZv}f+`E`znProg z;U0bb$xR3J&c}8?v#8HMcS`5e-_HxERMQdYmLwH78=oVXuww+=##DXFscl6ReRw%%XX(0${R z7a7bc1;Pa#+uq5ko=|~Smr$C+WPb{fI*`2G;?GRkV&?eKraeDR_*ptTb z9Kaf;pXc}v%%rPQ>yE%rzR}O8Rh`-Z3;N(}e%6~BrnGOZ+h^$jeqf~lk&eh{Qw4_?;`Cd6wy0(oSDu( z4E-ou2ErJS+GH zKIB*ag2WW^zGlp+2CJ-_fKRV0a!&nI@Ea=FSnn^D67pe+1*;)uZHGiGR9y(>p_Tk;qP-)=G4e3{EcNgxk_yiFO(`L8otPS^b+=Dno*p5`sR;fV|i)!k#7$YTt(UbMUirNZx-meP^r$^GE)btP`yb@ z?FsCi`|FV1^|w{=3-ja)THDL1DL0b2dGFX#GvEFBV%<1hB;ZGm%oSo!vGCwx5!?L; zZkYFMN9$3netP2ZcMvtubvf~r;C;iTFroLBhR>Q%+ERgdJAd`nzcHHJ-N{3{sj9Ew za@$UwJ^?>+KJuy=1uws*{_n4bsNoim9FthIXwPtqi{4#<%(iRB_#_3x5KoUj*C!vQ z_kh8?qu?y}jJPD$@s zgTHn?=y^88#(Cep#7PN!R}%dCFVY+Kc=WKG!7MI9>_HXjoso4 zJysl^y{U94A2M?qrBeb^TfOw+o}m$R`Lj%JFHNt=YR~Nay!ean?>XyCdhAaUYcw`r z#$q1gBKJTy3_Z8rhVvC3tbBaj$$!5cIXSi>gALIP%-Ph@22XC|`@Fpgb?($SNMHeh zEDnwoOiV|L=|4}Ri&Kpj)a$pHV!8|fU_%U!RmWyfjska7sczt9wjVDh`KR`$oXja@ zHaK=E8yyq8(+doBJcO?af#SRfwo`}O}juy0xAeX z=UvB(&RGFouMQ!)7)MSyJfw?Rq!IdcbUBxmuy0&I_4bp21rP%Bvz<&_Lls z=d9GITERtUT(Eb~uE#*IsfBzjcsVu|!n3As@<;0;s^)5~x~snGq}LO5|F z>ABS+u1;hxwapqIP7*EgXT}~&>Ay{7S|PX2W`5v5UZ^QPqG@lV_$sZneWtdZabK+EH+eb;`7q=j0YbUl9i#8N@@} z^`cp=jc;-}4jGtDkk@{WCHYRKIL1-L@anmU+i2(aLZnI?z_xlKcxCur)zzSExNGtf zc|R$l?t5%ui{HJ$GPd}45Ed5VWxrJcZ$H~&!i&ib*}W;JuL?%=V)yZv6^vJQ#S^#F z4%eKqp^4bdV0Zd#2lMB4;3Bi?loB4nd#o{1ecJA@@06O7d)I-9X>uHKDU?Y9hz@Dk zV2GaOXH8sHv5dzAQKh8MjQ|$N-V@&+$*`XBjw>MfCJhxL@7Hx#kGI>QBstKv3rLfY&b?Z0cue1iGomK8? zOtUsTVgKgCYPfyi9Lcji*U3WC;a9gOPBx{t`J`ojdCOv7O|J&bG%yibmWp_2$0}Ip zE`rB_?jAw_S{6k4-!ROo7s%w9z8&48ts;9p4Dv*e{FnEg1O+9eI*6gjHbW5aN!F*~ zBder}qW>U`#H4Mu|M472gY#AadJ9Kl8UgPeNhi-h} z%BX?v2)SOznE2oUU9%DL3dX-E*iZmN^UR#Q(9hE#n6$-GC7;+Qm0NfT;RSm z(D2*6xK?_MHJ-EuwdSzR+6f4F{9%nfKcun5T^D!+v;TcQhRp3?>1cm8y?FQDOF&RA ziwW$P-=)cf3!Q)^@*L-JigS@~0`!TqdF3#-{u$DX_g^IZ|9Bif+~(?Co2)0Yh^>0I zKL?Meih2>e=$iDisUb^-ou*tOc&&UkyZKG|)5Jhn=*QejpjEc$MpjPqrCoDQC&)hW zC=A{nbeFCPmMGU;aY{_Y_nO26!Y<)jVrz}XJQWl*Y#@I1Kq$s7O(aB{r@$V znD&{4rFpQ4C1aNvES}gyqU1|4!no1q=iv(57zp05qtTccK zzr1!)g#3|;k)3b}h_L=Se!1oRyYEOlb9KB>lsuDhN18sQVB@w$LR6vdySds}W_rZz zktEH5^fYZ}c}$&{!AB)g_>0BaH)y{*OgE~)=-IV*^q!H%|Hso;M@9X7e=DNWA|l=0 z-KBKb(kar7bfYxVyDVMOl1g_8EZrsDEC|veqWBD-?{j{C?QvN>vh$vqd+)1)U7zQn zI^~Y|cUFF;kriq1EY*~=SF|BFWDX!;cJI?hqk*oX2HosD`H^g&Q|8Z_Pz)I7wjNH_9@)HeamzWYMW z&zO%GUp2WGSqT1Z0&=J$Rc?VBzihgn2Vz&J`2j_)t!dDz0PwdaMU~i6n~SKoI$E*z z92BZpfLg%t{Py1+H#ivGWph|#Pk|>nNT~Mf{fBI%ILUk^)^b)oYz%eiru=)BwR(dT zc>r{|Qml7V2?;KRx`#o5tM24pB~n!TMv;jkU4+2x#-enIAW9`B7MHg26do>T1MB0X z{dEsgjX{|e^Z097Jc|XhEx6e=AYbj+7&8eRw7ylcymWF|@GA8;R+5C5cG1f6ypE$b z*D*7+LVL~`^Bq{YGvDk<_7$?&`o%mu*}C2ZBD|ox1!0rpM3k@)mTBfe!NWyh(bv4c zH_B_VXDnI#nEQjQnd8*>oDyBO6OxO=lgfeJ*0@(#9lz9FUm;Q2yLI!xI?w+q;Kf); zaWXDM&=VkZYKC!2C{V~9lo!JJHj(6DMIv6?{%-hR5UTuy*z^Xve({X42l+%>mRbjOEZXX4?NA zk3j5&<9Q{48d_iQeu(QUUQo64@x2ERg9k10H@KqQ0yOe;lu(UT8Xk<-PuV2{LU9T- z_kGP~8)zt|&IzPG)ms+Rmsf5ebE|%l{@Zw}Cm~RXY+WV_`*1@?J5GzeM;I;-Z553$jr+T_fpq#ocML=YXXKu`DfE z5qd@<;{P_ENO;X_P-CX3>cW`SKGoxUfx=l;@Plnzda7>?)j)(6XQjJS`jw8JTZV^y zz&#G~?%&sZ7Cw%yY0m^mNT{6}62)}_K3Yd6=Rq?Z*PU?@%n*s)n()fg=vU#_cwM|P+Gj?!?OQY5Ey#0AsYhKVd(Q#YNTdOsUJo*4-R%n*N{ z%lN)~TrEHpaChJzTwcsX72;$pZ2$aC=94XQ0CXjYf zz187WG(16yhwv>{B}=ga(C++3u_s{-Ow+2DR$XiCfl@mWuOYi=$qydV`t&h1U{n*qp1g=GZ+Em^EU5ujFP0nF#&uy21L(_X9Nh+ZnLNUVz{oHK>hN5B$tR&jO zEd9Y5Y*wCN+~<^2$G$$^LqMr+=hxpLz?BxQ#LO*Vt|Egb8T*isc2!m&F3&x<%G(3M z%gK-Uc(KZ#L!))C63-%7Hh_;X04M%1B4L9|N2Abcs92IMdnrcTgN)Vc1rmYmZr?OG zjqfzt$C%J7zadvV)B&O>YHb5nbPIPgiMpo4+} z(#BoWSUT38dv0gFzp*v`76`WfSX|OBaEMV(PVkRIAljMDwPT@z%C33^ly(vK z%GoMP8Xt{t>9R84At0qv_D!|k5obi2K zAwSLmil@U(%(&o4330E&%Hl-_GoO-Nhu9?%666TWGE6E#Z9>M1ajrm`cKxmmCD}VJ zPJJgoik%F$q>Hg>qXgH%E+H+H7qI8GkbM&e$EomCl)4l^8cc?5g_Efy0xx%8kGT^E zorr2EfJxk@wHgH!6|7kJu@t%+s_w|E@44pUjp4v)DC8|@Ji4$gDt1L>Qh3>`X8A$M zuryFyyJlb(qWxjfxJUcU6K|_YTD&X?e-AX7H2iEry(e^2d_mBA^@D{r4BY&&y9G^$Fy+4JJ^g!jjwab$S5YJhrb&o~Zp8tG)GQjt6X=OH=uVK{ zCvWpnGFak^_@G9sI-zyHQKqDr(!ZNteg0AVX2O@0#uNEjG`EoD>af|0FMDT8p44wE zT{lC;p#l>?DsQsq0!}?ZzS5ZrWE+Ee9mrupzU~+gu!<&1x+!&q+R<|ns5Od5PKStT z@gX*hdqu{xWv3$Uw$xLlpSEqE8b~ks*AbKs3xu4<15=Nv?ey15iZY1~iVRk;?nD^R zyvk4^A!pcYn`jk`hU~3rdD0pc%|;ITUn0_Uc4l81B03uD5Yw3_^)*hY75>&(?GF2! zJ@Fo^>lW2(3&+jt=JdYF^D+-u*e48eX@7xkr8ul5WEH)z>4Y$GTlhj?ec38*uSQt{ zH3}8*!);JZaw$BhaLzbT@_=K=M-+x4IW$R4TbyFy=9FI#JP(4q>L4Q}FLsl%s?;9~ zRnkkMNh!cosZk`Rh}3ob;!7U85!L#;w(JTJ7k`u3=s-r)F2=V)!KSnscX}&YBYaPl z{IpL_ZH(3RKAY|tv+eK3;n!~CIR|GqTcdkTYd7^zzuZj5mXO%R-s1w*FI?x-v)tb< zj{`ZK)k^FE2?gnO@n`wnfBgt?d9sCK@S(_2h4Vwe8TPPVCb_@)SN)=b6`{0WLkS@* zikx-%Y<#^yK{P<8r{OuW0BcHDH}=v~LaW%-7?Mz_-h5BYNzDDzE?K zh##~3Cu46}<<7SJh5L~MOv<|1w$$%z6{kgm&I_coIu*39fpECIHbr6kNU|^T+Q!ko zzij{G!!jwnmH|Naf5ld6G(O!>H1LvAJPY_IfJltM>85_>6a-vX!v#HdOX4b_KwmTkv>1drpT^`4*T037|%Gm$?=&rq07yVWtB^a^VbUF;vl|X z=YT>u0&M8r*`~|{u#^|HNnb3sR`IT}bQy8p%(JwDm?ipL651@IBGK!x@n%3Ps8Pmec`yE0dukeW)v!e z!%v+8sq{i_=vsA5JpHdcfIq?P}7|syUcBY@+!f;U%9xXU-=83*>IJyZ(9ADFng>(yjDufW9cnVGvAD9YXmf z=ojIym7sL3`7)(lB1AN$76Ld=pb(kG4jIMI7_ui{mpuTP+(s-3GU=7_^AqpN6%O)^ zDr~vm#{W*-p9Aefz()S}=iHB~f=1E0mZG*6X8Mk}Y0N6sR}Q%$wu%>@=oPTj;dbJ2 z4@0Pae7Fo&Vsw9dEXgvJK|yO!ERhGJ{aDJa>( zQ&h?=Vau2CDvaY{xRAWHCWRcv&hXs#Et^~NMj{8Wv9_=TN~d3^{_b}}>c^|mg}3*+ zSuQD#ZxRe{?l<${ySpWNx>LVN5#sMyt6Ybx4gF~XW;gfucjoRApW!j3&iv|xy|A+r z8Q8M6@?L8|h1VAgC%pG?Ya>g=y0^4An5loC9hEAqbBr*79`=duzTtLG?SaaD1FOw^ z(Ub(+tU_$?g{Bq0sbRAdcmr~T1>^0YMNOyN=W_%@-4{K#!W2=am68N0T9HvOSkZ8NTFK5a;m?L5en+yY7Ny5U2gB2Dn5 z_8g5+kb~tDSr$Cx62O{b4Q{CgoiO9@6XwT;c8657K$RvH)l1|`L9xm_$lETxL+^L!<*$4gE8MGHYw(YnlMI5 znMu?AP8?Bxvmw0v-ulq@dG|b~h$~Y4RH_2p?30bpgIByFV{S(IRzJHBJ|{GG-eJYIAT=s6XIBfvXaT)O>Yk`H|{nTZ{@w zO)9SbGudyW9lrVH&&6sSXV~$JBY$T;S%D)wP(6c1mpnZi?Ur43qK?ZiVV`Y0?%WEp z3>+s#w(=QfuAUY|o;%R55Yi?A@M0DJt)=`K*wV3->F+3s8!}}YX z=dp!$ON~RoVKh|T3zTkF>79VEUP$D+1PS2VL^W|pivOKB zd+1aMlDKp2%8<=e5d(ABuH5PA))@KQMQ%L)SH`K_<+-T1gEQK&*x)a}Md?b3Dhpp9 zYzN}DG5YMOnu+Ly;STV|oe#>?@3RB9>J$=kx>e~aei@Jrv4hB`n+fb{mQd^-fzhc{ z0WGG_Lsd|j#K2Jw9vKuj`D;T2QffVwW(W=G-K}UiWGXzvn0)^EguqU0-ekQ%5fkI! z%+*V09Wp-MtJt~kb1x~$cq*$pp82JIw;={##3Hm{(qapgIqZioj^5aC*484OwxtT{ z!JxITRz@d>`AntS_*%@MA>cyeO><0dP^9FE=jJND#bwc#0%>x21`^O|or#QcZ4C&t zSG&4ISF2x=l%NXo(1Kf;P}u%4Ic4Lp{%p;`=S(NyFGlD640EnNk61-592Y-*eN0la z7(_<8>&!<4?WJJLu1RdVnMu$hBBHz0_ z+;)LMxHhd=fmr0{8{;^ySJ8ollYWV-XyfKzsw+Szpw#^N03*Fh)qQkR-R$H!E(+2- z=lBpMWCsD>6U=8x>hf{r?aMN6?*QMN_ouVWs4EsI@~3rYV* z+ozGs6JgwRpjf4tGi?`e zpJ{(AY@g{v9W^flBBbHUdvxj0H`Puq=o^@x)*>6I&%a zFa^IFL(P{kRSSLR->hpNt_2dUz{Jc(%Lt@{S>hejW-iu%k-tb>tzMtReh1R}g+<{J zkmd`e?f#m0)4>VH<7?ju?64$h9iSYqu5Io z%sAY2lc6keaTjh5vr1_N#bnl&RfsnQbrOOPMJkpkwUEtR<=DTH9)cki>yye?EE}-v zMBPEXA0+vpLYcg4o=6vbY4ucQO-IxG&VSG6zv6+cNz#d)Yp+gn8aNAaI2dXvGD}vy zgnWSEStQM5p61Z#*`g*%xr=fBvL{Ys?hAmqi;Wuy;uL)v;s`m$3$k$iw?0JTY0q=e}cyM%%;jGVpB)u^PJJoztDD?aN`U-K}-Z#aTAvZrZol&eL zIPApkD{nl(dFVG{|Mz~`x8Hq>p7YdHP4lNX|41^e!3_3v0^Hf%HOTrcM+V50WW(#; zV56T&*7Zr9Q*jW_L`+@ib#??s+0x&f+`;cjeD&Rixrp^=81dGR|4v+jc3*Y(+xX7D zZ-0T6bUJI9F)-d(ecZC>TJz(3Lqv~ncW4g`_zm^wm0%CiqnF;wzl^a{vk|vBpdch$ zeOw4pNX9UL&OCerfb~b*P9e;7meYO#sN~c%6OhdS5U|yL8b&nW0rP_>(MZcMB|@m+ zR0w#X|H3EzuvEn1!Z}M~EbAdA6t*B+wHMp(ABkU@MsCr9Xn)ppGD7+KL9^Pt8`e1E zc98;NZM7e6HgA_-&W7KA4inP@Gh>15w}!U6IuX}{{mdAW3|2e}**jrrtL{&0Q78?E zXrv!Rp7W%qCBfF`o)qF|1X-sfK!K0=9qh9S}R%F5*W`}%Wk#nt6E_<*Ucrn6f? z8p=%p;;c!N3X21%<}vsO#Iq|!>mUlQ=kD+RYnn&vh`bxQ?@Mc=9-_$9m?op%s*j@_ zu1J6Xt2RYAJ`-~_$I3`Y6sf@K{3J(C>|qoosJVz(nctJ|-*{fzZ+Y#HmV*XrI-V6Z z9{7bWo8WhOSuW2Km9Kh`fB8y7YL}5=QlRmPo?1rg16xvPai!3qJ=ru*2oOb>9S)-C8>gn-3;I-RAS<2YE~Yapvh zFC5)*9covmFepsiT#@In?oCA5ZYa=f_HnrbV@ z?h|&cx+QmM;wStZE^(Yk09w=PPsqCPlS5DdK z8s_|p@6E4UPye7+>BS~*=r^X`L?MN;^YTTW+!RjHW%v6ivzG{;SWgA|hpC96NSQz3 z*S$JGWqO_S4>_*>oNjA|hIP+recyL{(6|5n1?hFwrErtYcxzX9?y#T33AbCvp@9oF z@Mck<)5@ql$00;9ITlJwEp@L4p;-~d^=Rl%x)~D$z!=j=dC91u9cgRI#Y)FIZxQ%_ zkTYpTX=vMsh9=Hc|5w8^s z`a^i1km`2~jh30tHD5O6A2f3wvd%<}vtXVipIqnsXT`)y%oWdii6G|UI1E>z5v_AD zmelQZDdpgVV8&q_B&`&kK?Bg2ok*N*w-womBV?_UJO14C7>u`4^Y|fwJGWAUGi?7O4Aw`tb*I_4&ECo!v@-Lv zsTEwv{#VNcS5NZZl#J{Q=e{G`ygKxij>;pg+$SIQ9Iu|m*a87dNTJTaLQ(rd*D={=Jvkq_D}!%#X=tAA1JzI<7ZC52b3kwj-0?xvR%=D zm7Uh&s^)b(5sef^F)&Zy_jK7GndLkwn*fP!zytqD;jnY-cvuD1C99>X0vzBlQMRS-%g8EU^@bfIdN{80D{w{ z50?+=^E5)fjM;YtEV?x~zvJ*sy~XuyQ%Pd*EuI>W7$`ns=8a1z4PE*DA;peH&e$>G zsR1$cjtce3=&k}jY){<$#EDAE25WAuYByW_n1Q+w=gK81rTII(0#(>+K?QcD$J7{Q zDrV9wGU!E7)QJwkiO^Lc7>1w93+m_5Y@Y3UhUe>QeGLHS2dw%fe>Zl0!6#3~AAO{H z(%mEaf~OLV`lR4`*Ovai#b@qraPLK1T6Oc*ggNvz)B@|t>{AbfJMvThF}svftg_tD zw9@(NsfWI(f8hrehF4MRw8Kv7+_pn5hB3GyWiu+}v7tcOW2h$h?z_&n#<8$V1aBo@`kX!?04Fm3>#vNGJ@jbn7r^zs;BKVRmA16MG{Z{J z3Ea9vx=hvG#xsG}*J+1xt zVP~L;l?OoZaet0QhX-qb`FraK!J(ccfbSjB$i1|^qE1GH+hf{pwUyV(FK)d2d=Z4?fVr22({*UvcNdw|$_Kr1DN;%^$XWyOXSXas#~L z-Ghr8g$TcLm>Cm^SW7a)3~CbhfLQHU_XTcn6yOH?f91CO$||hDD);p?J=hWry1wGh zF!^_vWYHE}jBhz~TOI^twhvSdWD?y$SwFI&2E#uzQWRos^Auz->1G0U2SkZvi<+U7 zf%((GPLbw~qb?Z3GnIFxg1+L~=QT2VUCcZ&Pg0H|d)96=b9-5w=>ZsfF-s|c*1D^pziaLb5jVVaS2{`isQ*lM9A$ionuKGrxov)_G z6CG|Av@4XAIbu^fB8SgZN|(=E+|r^tCl+Mt5JMPh=MI!iJCs2eCKwf?S+nW`>?RO? zixR{HWMi1RnP4uFl0fmpXnKX4wO@Sve?w#IS8w>}?0n-dasRx6VX7~WbEd8^ zDAGqek`Gn@g5Tv2?zd!0dvMf1ri4Jz?Qy3Nv@1qrXoT69P1}4NIn1(i)Kh2V)E+Yfmp8CBHdsH z5pbLUBJp=(oJ`&f--BKb4tswL{Py?BB=M^@DBx#<(8VxZD1?ihzgDT%`7mx?aj`F! z%ohNf_mi0f!r)s+Q428r0X zYYs*2zZap>Wey&B*8+fp7W8K|*3;>f8iG$8m-hzL+XTc!Dgo{px`kfzLQKMeyIX5FL&5$IWRGNF_Rx7# zU5*s1O|SY%5nbemcE!LClTbVu&?U@Fept%N$0jJym>i>1)IF(0q3)FwU?5JDOKn-S zQc+YOyoPc6uZr_LHYi4u*fdQP`}l#R_%+87X0pNy9qMAb_Gck1>JF3E3LYiffn5=W zHXNu-?4R=)hGDE_&q`yA;V8$`b#n_X(%2-2WdwW1lNS_};=p)PG?Ka7)H_~GPaz#^ zC>d8DIp_gPX?w5zJOU&oK<7Ya0Uj+NP$h;E|7fUpv{yE;jYk5d!c?m^*E?z;<+Woz zHGNS|*Q#e5j1TLRIqMrtDI56pEGQ6|PfGYh&UX|?8>;`TuX>zB{+gxZT%&iEpSw%} zIhOl}8Y|J#{D$ksmRd#`tK6)$q+gQihPN(-=4<}9{Wk~dUG9OjNFljze{};9N6ib4 z^1CSaHQ;ZkNyU8uP!9Es0Uz$j#6`5AzDiOlqAG+zkZu%LeWi6Wuwx>|xNQrM~dJU5;7nOs6J+zjHzr4Z1X zvLNnn8cjz(R(Z}uJt0lAQqtHhD=k7@NHZ;4W1=h@8?3_mF1UpkZWVDJOq6ugoQik+ z$QQ~0{Ft&2wThk+r}25xJa;sT!3pQ&hCLxCye0nPa}r26l^ zZzTS^rWs0f?#p1rAFao$;;Ol<}MykS1})s{H>?c{FAqFpb3~ zV|S~Fxe%ZVHg-E>BY`FJN+kY(~8RId6uwoUUM z6GIEKr17*|&NM&N-4-z-U?!erxoa?3Y*Rz0-2Ttxoji=BaRCSzhTTMuFz%0a8!?3J z-C06{{ycD_B1ibTRr>fC^W^Rl5q{xkFE1pzFr+_T%U*w^Qv6tTrGQSK@Li6>ezOwu z%|c`(NQwZXxA@)1z8u^PH~OmOvAKWOac>$-)&V=yOi$p-R&(NN@XuE!)b^MFPhHw5 zqAf7tSQE{{1OWz0>wy_Q-ec2!ALbrb(&I%z5|t%wAo8Mxh50GtbUYo3t&8#}qHpx1 zH^p(ROQnvIe)_Mfemi+ZNj2b;Zl=c*i2daKx+Jz-8C{8Gh&*eAxt<$d1A>;`Qt7$X z(4tB+h8)(RSo?tM~{76~soF#zB13c%rSOHW^ zM*kR?K>V0<=VJxHOfmi3V_+M^)+jE29C{xy~_&maf(>%w^hZ>gE+rnrPJfKg@?ke~t(46gnm?2uo6kFTeTV^mkWwG;dvVdF=!CIyTl~e> zzxgO~a%@HE~55ezhpFIQV zOm*2k`s&9h5GIL$#5Q99geywsFfXoFmtjND3RPq~FvDTIC0GIZ~M@ z4NKS;HMZdvMlBxpoQELJA~Fd)LQ~Ey?4P0JCi98S%e6?kEqMl$`@4FMc2wiOl0R?I zvLbAJX|cIVQM}U>wgPxBuLa$X1%c}=?zg6c`#$Yelium=`v$U?-a7f@*EC?LD~rAO zC6^t*Qrm`fTeXSX%m;I>bxc*W;T&P>cbc-(qGMyCLlD|z^J$`%F-?NsdUNjW{`#(M zOdxm(@z{-BIBoZK>`MHYk1+hJO394sv|)#clfEDhJpi(Br8X@Jd6~J3;k`F-$Ihnf zgv7g_v~!~7M0N9lUAJ%R2}AEh=CjB)7mfkM;v|nbP`mB09(moo}jz3@IVSfn@V!%6L2shUu1(w|1hU5SK+NcYs5waD7 zGuCtXRU7Zy`ubGAb0wvC!kwbS;c$am${8MtTz)WF7>p0ggrP7eS^otb(J@|nIe?pZ z4r=qu1vSZhMWEbR+r@}_89AB+)YnYr96a5<2{HO?b??G_9I&{ zaS1I(Ys~&^y=IJxxzoBMunOcy#*y-U${XTWMS|3w=tIAle}yAW@AXg5)l&ohSjNmb zWMPU4Rs7lryo35AP=`>J}Xc?eO6}#l# z{~S~3eX2TSM~wq{NA1hqN8KG%s`}T9eIN8hx{f~9K`b&;me*@%6yN{WtoXWEk<`I^ ziJ(dn%7)`^pw*DC4VlZ*YQ&*NU44wol}qq>)x1KT0+R+}uL^aDN78#Dxg^YtU!zlz zz#$`y8BVDqdL>0_TDH$6-WzJ!cdvv#f@_PJfSMP~|6(tJEUU#+A6aTNyb=nl@>Us+ z^)0%Y^miW;^Q=t0sa5l!?seyJdlt`Fhp08aRw>`OP68%QGV#c9I*XQ7*M@!HfH^K^ z{#*&&ESFK!p1|=|`LZD5tQZxgzBz+{2lTX7DU%*KP7YD0R~7jdCX?4k;MWA&*M)($ zf%^&hs#k|%^g z`=gq=StaN4NFwAk_;;IysZ}V2!}@j`?KB=G#8}7pZ-rp?&NL(GT)iY-QZ)_qvH=PH z#8A}nQV?8z#^F4ABdnt~jHCkfTYxKsQOU(^7U7tesNs#noRk%lpvbYCiI)1$|7w9* zVbq^{wTj<*{3k+ILwepTR#A7q)hohH0dXv#pzvDpqizW9;}Ez{)frY1ogwR?#?6n| zl9886fT9`k%|NZ3%#Z6eHua$7mmfJ}Pk55Imjf>Jk=${z8g%FlG(E!dAUYQcWgc`} z0$;3H8}H*!{5Z_?!>Z~oDCZD&KFE?KYOE^_t(i93@Rk+5HF;9e|7yB!6MNL zQLtPQ0VQ6ff`iz!5sk&3{AxcyhyVh`HK%;SeohupsZtK*c}WX!M&Bi0y;o0Lf|m0o z?p1cZ9$PB1;5c+M?KJNE%K`?LTpW|2?<7P%0#I4n?rX~>5s@uTrFX}lsN^K4iI@3T zFaFP+-y*wTo=NNiF^SgSpnT2JdD>H8#A^?51|o1^FJApwuyIhE$39rpw8l-W01@wW z^0isGG&Br$SWy=BeU*2j;(Gyt=Y#(JX-~kza7>b{8RBx>o>}$BZ|F&CU@wx?Gstc_WA$evM1KV z!~cy9h-f`+xDhV`3(tdvgd%K|%wtQA4l94WBcv6?7W^d+zL@&&x7hDN0Qir;@v&fi zoRB8`>M7>S5^#`Pl{;p#&6Ca;FO!EUEvD3>r<3oS#V%n z&Kx`YRk7i*Vqrox4HJzCdD@>u`l_J=aDT1(@`z~FQ`p~RIo|v!%-d(rTwHJOL5-52 z0?CgEnTq#wMM0Cz;E~BW2F&n3Ry2RDT+$0iIbiS?pE#$S&?;i!>1Gfs4}|8m;-;OU zokW}9maQfis{@EBJTLU5poPxxtYsE{;rOuX7mEpR1}QC+D0AVKdp{mLoO>F3NjBnE zEQ?rZDRL&arkGH2<6=#NX8?okHh`rF12ejEGD_O^)0z4mj}=YJj2k)-G-3&ewl{Sk zx#rIfC1owB0{@frYtg)qC5y!kQDNm_PuC%)+Vhq;0E}h40EO^xnIjS#L7^wqcr-%C z22PM`#n^|`mWxC&7k@K@G>@m^1Iq4utOa*}gT}4j_p)!G4_@&0VyJ=2VSt|myl+#p z>#~y=gYoy7U<;p3-K*EWi~Z(5`^m)oPU4-{D!r2tb0P#+sy8x<0En?=ObYx<1OdR# zRA&jX4O7`nRVsc@N~+%&v1+XT1K90>1R)sXuz)8i492KFZj`c=v-W3W@*elD+_1_n zNW93&Wiz@j$>zlkVIwb!=rU&JNgi;*4)%|XOigV~4}tuObkLJUr8)7A^xVr;f(E#( ztvj|Y`zsJbm2hdo67Mo~iECMuwV1eTmJ7$c*dIe!hQzE6itw`A>-~BsW z@y#;P^IX4OTea!X8cnhs1b|u>QEYCUDpg!?Kas*yyyA6Kv@kCpY-$g*AWl?~!ID=K zicdx85_hfMZOZfRJld5;`yS@}jtUFmrSgFEnGfLQ=|Hd>k35Ro*C>&5I>`v5BA9lW z;o7rrMgG^~o@E|KE69r4E5j6PQP!a)kMXTI=HFqy@p7zj{3$Rb?(d8)Z+*uiK0{*Y zF_$4`8VU23FiwJ)sm+o?`h*@`dJ)NQIs?QXb19-GM^cW-y+YKEP^2B=Th#sn!9Tw> ztR?y3SS*S%*`NMuYddBs8RDD`cqBh#tr>gLHj(U+9LWQHlYXkm7d9`@n_Ot@blE}& zr?b2aXKY!gi+D|FqCFzl2w>%s(n)!nSa9?GYJt zdouJeR3}$X^yjSp_*raVEjzsCSG;r%shbx3gI68Gn{P-{yS})TY7hc>6yJcFBMsZp zH$wdzXkyuXoa?|Vf;(|!S+@!Ax5-qAgYOka^m#?kr3AaZo@1Ba5lQi*%}cT>^c^$n zv#Elvi$wGBtBlwCkE+@HAa6)WPWbJ=S3;(;C+ZWwxhhYHE}m+;(AM@{B|Y86eKNj# z6Vb!K@bFr-*OSi`mS|0|<~b1CUAEcNd(LNP9hKyvI{Z2u*S!3|+jBzKP?k<0B8YQU zuf-vMtVi; zl>Gh7W4rvWqU`Ou%~-eXFZN4$$6Oj$w%%@r+4%G9t4LQE)Jj-iw(_uQf3ua`MoeV7 zYc@k^kbV?9yEmU-TZv;K|LwTPR^dSprfUsYmtMs&4fZ|pAfMg6@1J(M17i*|ohEGw zgDZsw?K~iAb!akUQsF`p@`Si;s__tHqCZ87TFy-DDYE$(6?vq@@T096CGAw352abz z{rJt8WhrK1%I(mz6OV{vdpUb*WUMauFt584h3JH3Apw^@wrw4rHKD~ikfa?G>d!bG!ivW8aA{>HbwUt?+PpkMF! zXxW^XM9PD?xcz}8-oA3+jLhPtYtEO_Nhq$AqvzXPY?I&QjJ!Api=D<7r!cZ6TOi%373bJYTqn0%5 zSgYja&Z|cH7 zHhdz)$z2;=Qjuy|>?SDBpKw5rC-%Ujs)BN~8T*4y_)=F%*wDAimYvQne(I}tad!Z1 z@np1Sv5#ujE?eCqteK-%q?!Qo=(|N~lCY`Jf@jyKf#6`J*BQG$YOWS7llxB!R5hOr zrI|Zmye4#a%IL#_OXqi4H4)_V%g(iyb1N!U9unqaHdCuci+g0zypX^kE6a=FCn>_} zsgGI_eezvcvuIMycl-2-dmPcYr;tsBN=m9vK$T*7w$?|nO}2t0{C4t!E{o43Y`4wP zBnJq6ip90U1?HNQdXC-G4f_vADKWyP!f9%-B+C>NtyyQqbo?azrPAa87FrHP>ms`{ zA^*bkV6xbHOU1FXrj`OpQ5+&>X4)`Z2hDO+MvA&fxOU@`zqDDE~ugB}${L{iJ=;Flu&6aLC-bEv%e$93G z28VAEJVTQtc}(v7AAG)rIs>12)#-wiv!Pm3iigSz8a3UW0F)u3n1-~_+2%I)ya3gBD>#zTA zX-d3trLIenOh?Zj^O0VSk4zo|XPac7lD6Rise{ldSG_{^z&UK)fHL|{|E&#;;F^VzZhFGr4_8_Z7*kK8y}&pAYk0grjvK*Gn=&u z;x=%%zT3ETRQJmIp7ne5m4R~3P}LyI*UoX*^4j-RodfqLqO$vviCw%?-X>h|xzznO^RD!|>41qP-g?b3 zrn^SHZqT7GI?kmOYL-D9FrN3qM$GH0Yz9ew*F&~!wQqOnY5RVWd?rKjFQqCPi}ce` z_|}`s1_F-9Tq9HAuG&!IFZh;-P5qeai653S9Wh(_a7djfv6&{p5Hz9qvyf(%IuSg? za6z6`I%Ri+!vjq!_0&+o9xJ`NZY#FgPtF;OM79zS?+K2gA!;S*PgJXzpJ5#_)hY7D znIm%+EP0W~4kVTNd@9atOL9uuN)*|>>;AIpN#Y5dJgr1ptiH17KV~#s=*`~R7pi2C zg0p{ZwkbY;yA|A7Z>cODxx|icZZ>i~gB#uMRBMehilb{|%Bj`dr`nd%+mt>3agI`} zxfwHWaD?HO@A`ARZL}M$4$BGcO!?LG4HtZ774UzAyg%i+nTu){Q0fCQj`==MV2? zHv?14NQcKylry%8943`Egfwtg^3`WZP>!xY>Vz!( z*g>qn+Y7H|;%M>BSL2Q{0WqYj9j-H9v3gy`vF18iNTmnQJLO4~J&|@f) zz%gPA-{3UIXrvPHZ6qL4Xb?RxvTJ%<*r&?+6W+u}ck9-LAIkOf{ZDDVj>)Y3swBa! zXlq0!&#jIAj!c&S>|!MnIwkh#u>R6~+ z*tezgLt|rvOmgUXpuo{j_hmQD?`t@hqRztensC}@FMFhDsmI(@oG0UH-jP3Hktpgi z((+9yx(=vK!UH(Inr_h0wEwC;QI#xHQJPV#U0sqXLH>a)gWM37 zo^^`umNucUTM)m1>T;30@d>5P!#!t{G&b+y=1iNS*Gam zJBz?o!X2~do3+Vx@8J%nqQSVn**=z$Wv|BBzZPsO7gw8}O3Y&8vPjwBb1z0(EU|B0 zR{N{YqGMkP#PpyBq16~`p0ADAQuugLbMoO< ztx*qSRh7HqgA$8o6e~3O!{7#22}eOHmV8aW3;m`ds3M;YyL|v?srf z{h6FB+_sy0JY_P)kz2iaVdv$>7VWlBM2_^SLb&4lnr0284s#e-gZJg0j9si!$ZZIMH4-f(RBP|#(Rk*p(Xr}tP-k&qq@MgFy-m$#S~6~RMT!co_zdcG>pw1{ZIZ| zpMrGU5&~)0+Hv!k3SDZMH*9_4Wj*YV7avyaKbcf@bzgKR%kL`5E=*g_AK15ig8hqv zj=6nGO-VW<XChmsJ(mc|i=bW8LU!Y0#;AOV>rr&ZLQ-MLu12H<}6a61*M~s_qsd3DDDGZr=8VPQt98 z6us13Ul)p&V?8jjbfl9l|6GupMCQ-_5%-{H|Gc&ZlsBHRJKdx!QRn8i@$+9n{p^Il zaPp95ZlQA|MKL?)y37^TY0J32N6|6IvtRq>zRnSpBQ`63eaUZ}2x6C7>vqR~M&Ssy zv?wF1Z4uWT%qpcHN1)lZf4%rk3&$8vrP>fU@aTrQ5mSng5GuM0a*}MU`AH_K(Ues} zsi-Xjk-qwsSN$0Val#kNkOeC^18<67d1yI50h(CcR0Q8o27?8wrNbcTcH%aHUiWL^ zu1ow%I!3`1rNM&IE=}3VYh6a#3-V>>pVw@HE16>wJD<_))#J23H$ueZx%JV%2aY{3 zbbu{$X~g*an)G$P>9#1eQ_CS1)6>L}u3%>|`Lu2(Zf!|*n4G4);>#89ZkP=}&9jx& zy_rPW%-EFsP!z>UV&PAGWRT)Mp5vR59Xn|_@UHLaK8dUgk(ZnSwebe)}{!Jx>pxzYhv8SSx!{I zJl2XO`*o$MSpSZ-*N#UUov7j$8{Z3tNM*}r`bGkIW@Gv4_YHk!eQ&hnew13Wfq!IF zZOEMW=L*??yRzsQI!dI{o+3J$>kwU_?!WuHGg9!W=z{C;=*U&-%QeuF|ER==n>P_a zTo{Oq_yTLo2G&Wd!oMFi<^A|^wW9wyS!|ck9n{`kM4^;Ebgt2J85_~+^>tU*0bl0o zpNxxN_`=dv?9F1Z3uYC4ZU50+T1zpG4Y>C#n-2xhTK!WA_2d12G@WHYlw14tRg@A? zx(1YPq+zIoARW>S!=Okv%+RSwDKSWg15!f|-3Wrx9RkuwcOxQ4eK+U%zaRV{evy6O zd++O7>$k3(#l6n(9eM6k&9_|T#_Xm#fidCTnjJqm+6>q=v8EA{*bjw?N63zXnW_FSPeb>~##gfI};l1_o6#vXn($2VOjJfP8By2RI zE$7tyy2f2t!tVb*o>v+mN`+)SexW6-^JapBSWa*j+UfF7`U~4OrMk86eqHK+<}IU) zGoro8$XzOJ-fMC^)W}f+cm1AqYlPM$YD}ySmcx}Jf^>xZ@e8hAO<`o(I>a{t<*V7& znMr*a*sWa-I()-)Ooa5fa4{MBbm2z00UA+;g$1`oJmWwc+v6NK=%a_o_P?%dr+rme zOyMu!h7OubU@ViQ zBLV2o7h-QEw&pFH>y|tWZXX4WDCel5GzHv`AzguNkNK2&P(Z_)u*c>*3@eB$@D!!U zk_mRQ7qjS`rc+C@qhL!qfAG2Si>YBnoaSVn;!<#Z z6bnD8nxe7cV^Xe31WJnbvN7M0*pT<26+wm+eAO}9n`ypmOX>Jq2K8VtySYywwZ_&|9?82>VsrGd-chSm^gHFH zGylvf<_K}y(nx#ie*w+dWc8BEMoEIFm60dpFuM}eF&3uI zoImki9R9N0wo^YvY|PrQpEQHg=ws2$PRpRAG<%=^9iOA1E?tf%#g+)3qyz#*!YT&! zj7+J8Ue6vPBtx=d+}#m+cFBlVQSFtl_kA-wy898n!^;uQ8nquyC;qk6f}%jJ&M!Im zsQY$XP4001{aqZSJ+S2yvb64{py@Pn;7$-t@*y~OmESGo&FJu`GNUY~=4#J>}bAJkBULfZ*IcRt$nLxM82#l0Z%xknM7rmE)n$aI0p+YC{Lv0k#!*!r@3@aZw;%O)smEqXOrZYs2rK2_D38?_ba@3(C^X&86a|1cibt#v&iahSy`OvtL`m`)3 zVJN~jd+%bnZWot?G927jx3%}y*9eK+bj0V2QsLSSs&9f%phd^$mwn!+QV(ScWUclh zT4HX`OU4^xj@#R$Cp-jJ4n+E~6GKu}pjq{`c%I3(>a6rE@GeWINrv2p2NkjHPXNneh`7Vh?^?w`~PJX%Y`ZCS=Y+ZpKhG-C(~J{z75x| zp#0$q%Xw7D($f01T5yVpWU`_@@b^t=Va_l=uHn1GR`(A4fz^ zf<6uA(2*)7y-5cd|Ed4t&k42YAHAIw$vJwZNd@D6<{aGscWL7dGnXMOX$`DS^V)?lLFAh~hb|rFINY#$6fL<3En|S5D$(H*iczf+~!6 zOH zOH`QAyvEJ!-S0N=tppqjdR-dGf+RKPVFL;r4+o+LPhBX*L4|^M>QWz@lx7}dl4R)# z=_>DI2-$RB%DX!#NulDzqPO+VCMEPP6SE`MkSz}0$JIcCd*LcvKy4R88gZ>*xnB6d zlZJVI6!t!wCgzP-%}b15FPPIkA3dzew6@36755=pFxQWgUES}f>dq`uFVyjpQGw6C zCxYNY;2k^9{miQ0RElqE;)hNtv)X44u2rCC+TT+Nq5AMkDHYMy@y!B;{MN6(s6E*2J zFSah(KPnO9Ut08Fw<$wPIGc(=d6_ndYiB>r7aXRk6=~_Ew0yP*)x`A(TbV>^QOgAZ z@qc0yF(^YZ1uaof>kPJqY8PzIvZv=zK)1dotV7RjhyS&FA9_yb6ty=~CuT#V2(je< zhGF}~Y;W{$RZ5-&iv(2=S*pJ$&%-lFU;~UJIUmaF-dh7nR9bfQY=DP#t+aqXb5vtu zSfrZ0(1E1;^`Sk!)6L}3JZifqkK2de5~HVJchnv2y(uz~I)#ZV_S#wWpam=^7lj(; z8viIxZq4mLC5XyHs=jI1dx`MIYtl)rHF1mx)K!n5kBLQ3nP!nHJp5UY`X`HA-=?j2 zJLpp%uK zJSVRkkRSAF*MFaagWD8g&aeGEs_xNmpQ?1B={Esh3noooCm-#%Xz;KX5L<5 z&!YrQtu3y&t=durBd96aEQ2&ode$#6MH5mI618#gV5It+7G3!r&~?A?&IzqrZel2< zc5p;9+@Mk{TO2oYxHR1NWX!g`%-N*ov!hj(R7s(UlVRwOkKB}oJ=~X2BSl2Uu)bSV zC(-b#8Czh@UeFOyd`=zma+T__7r&mQyE&0ue@NcGv* zQTtOxl-$I&=gsu>#$qA8ZOY|h5PmMK=PFv>ulr7-K0nz~G=iDOu;}9Gb zad_9LPL$2w6mOR2!E*ZIWS;b5LLk(EwlLwKM#~qRg-+Pttwms0C9}OW2Vd+O)dHR* zMn;cg7?rVKYxboTrXi0Yf;ks}rX`}}drAF%09pAi)l5izFGf>zg4CF1-G+4<>ZqO; z+!sZUl=e)(q=!r3bh| z#!}bnxy1`JS+|Dux|?(^gw1X%=k?yP=|y$vPWHewQ)t%V31VCWE|QtdBs2~0k6XWK z^r4ivhL3_`H|_PUgr`;lx|Z@3JhB&G6j3a5D_in&^w=~Oq~Usgx{`Z74T|hCj_L#d zM77z4{yY{H?t0lf>LcZ5My<++vQjtrau)br@1bNwNOc1%EQ>K(IECBuKj$oItb_2= zobRNUShp?7y)a0c+lBF4pnx;%C-vB706`$s=7ZP(cu=$$(cYgHUw1Xkh!MFKR^|C} z6YQWrti3`cP90u9o5Yv@q3}ZHq zKI0ER4y7~TGi=&5tPdCabkUzTlr3bBqBhMp*EV#qNo5=4g@$>Vm4^zHOI|?ADKG66 z8L$+^F76!tbWSvu`Eo91+Mt(P72$tZzlns_(%f%2N6TAvOdwnzL(oE;!W+aJ#qT>A zq)pXK=cHz-MAr<|KjpDkbF(WD|H>87Ikh*pBHJG^WOAkh>5FE-Vy4je1lT}I8S6jG zzjV5*wSp`}%B6}Tj_UsUGBo43<4yXdME4qraUhCc-O-_*GHLf6y=L8>UX*ODF(@(f zl*oa5DL2QdgNh(Pf1HssiAyi_8P$kiPxqRpILr^zPLn84tz9V{vwKGy2<}zj?+kV&4+za z+j&sn8-94a8r*{m9FvYS>-G_!g8vw*eN6ipRblqGZmiF~R^)a2woNxKVpAG4nluc; z>3xJj1S69R{1=dhtAF7P)x^kVm{U5gXRUznTa%_~Zh7vGBd`O96-7H>qvhQb#OvHz z{@fGBgjK<{(qapDvheR{(92eEA11u7H5(_A-M6TM8Ir#-iPD%^?URX2bF*VtSHZmx zKWHYq8_fj46{SSI?*JM`?^rDl>%YC(2siNm-f1ug9BJ^EiL;N~-1$~gK2_I1cH%#4CHLq_1*dy$iDk*v(8 ziGlaWYmRE;J9vql%v;9fQ2C3kUW>P10+}b?dWcLsanfFchGi+aJ{;mtPS9L~F2r~! zZ&6EPVzFlU-5h-$wZ`0_kh-%+SD{NLhcY-*;9<&>jNY|Jy%$E@?Ty_}4o|0x0_}9* zbPl*+NW-MyRxxt62FH0gis)NS_2zs{uVt4jLylL^Q=uD!G3=u%|W+T0qfzoToi>FAif?w|zTx6mX1)tm+`dMZFJKR>{`v z^J%7kldvEtQUB5GeUtHz^end;xBBox@$yo=`mNAq``ArBxVlP8dTwcymW?8Y!tdGb zIk^U@F>x9Mt`Y`Es&EP0ljfApOzuCe{-z<^EdqsET0hLD@Y5nu{fQn>OBi$J0)zwJ zUFD#2Zg*tu=TosvcBRr>B2)?kP4#W;Lr-%AHfrRS(Y!SoUL<=%%-36j^TKMly_&xY z(K=HP2L#yg$TdRh-dWS5y$KPK#bXq-S)#i0QrX{9R;fsJq2v-~_ zFTUMbytb9Av+-7tnSIX7Y4>8nQ{Y2$^T-X@^@Z#COVf256hKyZFP`7LsLK25Cl}8z zncrk%DYOQ}%JTR#!EXe-@@$i@#2$&P8V|sVQUYs@^NVxfWJUjTRr-)}+8k%>LOc>; zs(j;vBA>o>=tcGV0KqVY9u$Qsp_|+#A*!wd>IqhZvl<3OEINa_Umbmz2mx~-htbUSW!ySI8z(8o z>2HnN)5aQ1xSmeJy9z0qUd>xmGKSXuC<-ZVpAef94k%y*KI;_C`h(gCc%PkZTewjQ zyC}F^&N5kHb~pO`nm_YV+_-t;hWeAohLn~IJW-6z#G&3|oJMOfL^j1QAZy%uO6f~B zRgxPvs1R0{0_3S60-A01h=t83duc_>QVdpB;CgVdwXZcOiI2PqQ8g&NO_CI7OFP#n z-R>ps5gX>XC9Hq<&8^f+mDj7>@cpE|cuQt&5v65lBf0?Mx3?(VK5zLMTpMsrAc-aY z&a=hvVd);AVa^<_DBQ2!5Fg1B{aEUqnmAtE)dv5-lU<3-y_(gvFKLl^Db@s@^ zr=TeU)|`mM{aos`o+ig}N0))0T~qEKqkq0*#R*Z2R!{b#<{py9#VLgsXFWvJ-?MGij7BBW(j1EFP@Dk2%lq z=i^_np7W{fTevq8Z>=oEs_hXt{rzJx@2XPh^;+ryQwA^}Z$W#z=FND;0NN~YxMHl? z)phFjL>tm{-RkVUP%*;xIQ5BK*VDin`)qq$GF1DGfr8VK9D$8Mx`1N|V>A7tG4;%r z%>z|FswnmWq^I8VAW*xa)^e!~*-}w!V{b|0n4E>h5tilT2E>SK4>*(T>Rvr?X3FZo zVK%4smg|tg)?2uHEDE(uUP$lY+N+H`orMo6%zW{I@Ygr&oE@D!D(#bc6uu}t(Df!( z{no*IwOP9p`2W^&MQZ2g_Wl5n@zN;GI}bC;%6Ya9ni#BZ1Qdl0g6=Vfr`v^n3J$t< zZYtV+2&?)%b6Fto0)FKT@!o^Wyy@Nj!Y7~JesxlBB>Vkmao{&vCMB;`REHDHQ_pZ* zJC}bXjZ|@te&3fo`UOrHYN`G&yjGfi;?xD4pv$zeTV*_s&!3JofLpz9oYHP^{38_? zRH-ieA`L5bV7D;`!5ogNi()=*Io-z!BIonT?JW5B(X660BV$Fn@dZ!^LHYy5GD)Xs z=m0!aLKiK2Yl%bilr>MzQ+P`Mha3P5jA~a&u>8mbVc2oHCaQ!ZE(fl*4CR+FDA=6q zbU>Cf7e>T~ym85+1}z6LzYa^kNx-|k#A?pTld%KwTtmHJ(RrIt zv0eDaU)a?vMN$S#@EssEzTyM3$s5-Zs-lL`X>Ojqu{jVGZll2Re7|@mDHzc-mAhoO z`(c*f_}8O+^UyW?&%K2cI__e!5)%NO+@vqR zT#?s+2&0v$Jty7W|7ZlZJ`y+|JdN|bZgPbBYqd*^4 zBxE6jj&9o7eOm3DLjF|#_dBWLQ_jZuK7Mp5(ol~~u^8(f5I=KZKU!Xp=u-A?^E?b? zbu^#%R|lw3@13==d|_LWhga=y|EY*Zmad*P<>rGDjC7J!(PXR-ZC=9aNv%|8KRE|3 z;Ny<_iHsxwG~*bF#$MsA--xvg6hateo`>6h284prx$=tvN?evR4IA@_dT3_LuVGpiAy#8;%Gu$~Lgw)? z3#Pfv@}sgR2#7{;?~4u@OBZA+YhKtwLE0 z@@#;zPcs)OohPFMIunhmZ@eNCzrSp3V;T0)f+9nyJ0&t`OK+Bf86IQzSQ0}zMiM~# z-CBx2d1RIZ6h!igO=XAwZT)d)JJ2{dGYvdiu_N<@*>_u~cX)~8t-s1CSqch1Kds4A zFpb`nwzmoxFi+;~@0Eh*l-Y!GG_Kl*=ZQz-!c=7PX4HiX2=|he;xyKN2-=59QR~=P zO>}5{GfCX<=-+wK8pZzx0_27mT z%P#s{>}UCB?r4?xb!CNl4@h@}5(G=08oIN0DIM!CXoXUT1ilFFxK z?2jMVvQVRH1l;4wHT?A?IR3`U)=B`(iM||PbU zUh5N>a{qYXmQWjM{I)p*Wvw%lChc*69Zj=#Dw)mhprqvnja+vmuM@H0m1~2iR>L3Y zmTN@7aZqek(Lq-={J;TSuITa3E8*kdL#+Q_y*LZxa-f=Nu{jg7Iw6mYYJ|qk)yNP`ax*sXK zkBS`dAX|B=j!>W%1YC4NU|a7tlz$v-S@brAIz1;oY+@Qt$~iw^CQQLQu)@FqqB8VXPe6XY3t2L$o!**fP9^EUF0VsynvG1tMVCE(b z?jbP~{s7Cm+G>CxOp{MItZf5)%qrGcBf)fh(6Se7iMNWW8f#UD7STfDG53;n`vKRJ zZTw@Ky-V^QUaAWl2LP8dGL!t-u*N^WiJKMxaC`NmS&H6&>a>g_sdsUyAX*t6rJWD? zaWQgT3&OxpbS`vXZHtY58B|9W{PFaFHVLg4#X>5baz8)4 znCufJqsHtP{DKPZWfbZ1JZSyckGxRfsgFzA?gZUm?l#I*0Ii>-l-l9gULSvwQL_Wj z%ymF)$zU3AQF+u&Rr$p)fJ4LMIZfqRkt`didi>M!Gtjzc#}+IK3MiUoPkci&Ddp=D z*zw;^R7|Rabigt&OuQ2e-0JAdZyWN-cf&SlDaXH#qCG^cM*APj5YtxLYgzU-&+K(m ziO;2q1cZOnN+}RgrB2_9vZPKj>Vk6D`&tx-MIAy(3JI|w<%?WuC4)?$FV48Jj!uRPv8=877jki_Ee3v($Gw?jem=8-g=ryuUV7%y*UFs zp#qfw%qN%ZROBLBlzH}3FG8*W(gdmtHGy`$sPB%weg;MnB`?MX1Io2qlM~*Ps5%vQ z2pVg%R=j^x6_k>+?SZ*(xhp-U|8sq{J__nr z+Wqd&y$WGdQNZqjBd2y>>JlR&2oxhqS)7Wkt3Gy|9<|4>yXq8lcqEvr;41<{6IcxR zCGuH^)!FDX|wAjdNFZ@eQOr`EwH-e3#}>CaTQalqrf%#eZ9+#vuLD= ze~&veBmZsRMUS+dk$;v$xmlY?l1S5Wtg!`b?a>_&yl|d074>tq?@?a5F~TGGD#cfa z+}*8*-mk4{hxO59-Gj29hMG6k{kL9sUqo^Ix;yk_XUP@WzgZbyM)TocPs$rQjX^j&_D1w+9XwbZI5{8B_E=upG3JCj2Nv@4#_e>n~E5?5L> zT=Hx{?|E(rqC*Pcm3uZ_TsUkJ6MRr^CO!K~H6$*^kIH zb6>7BE&Gwpj&)`xVGT5~(e0M^{YX-7l~CVv0!j^{)`}2kDEvu`l6ltTP=d`H9EL=J zLxTv$5m0(CV|xoJq%bn3>nrAL)=l5rTD^9L(m*Hyw<3xlC2a9{x7jGWJ^%Pth5fq> z#tG8w2QrMUOBT&ZQRG~j=qzpPoU!M5ZPz+(efem(?Slu@W~GYB9A`|RcJ}5nA1fQ4 zxF5kBa`^D>o35(cSxOuyQPPQ1xyheBsDaOR?iIbOb{ZQtNC&xN3UWh}+Q^aWT(qq% z$!Tn?S4~i{gX1;zz1`+RrY_2+ZEz=RVrl>Rh-r|n?B3~yF;H#{G^#vuHTZ_pvRs5= zGG7P3`G~K6;Q*G*bP^BkfBZ4XJEgm^e|<0Pkh0nY&B_x}K^|CpY5%^L;u_|6FvjIG zJ+{VaW)`}65Fmdho{ITLQKpYbF|IL@;*!kNb&FkP@pPpY9-P?cA-+Bet~5ICE5L^H zM<2IZmOJ)9%kknjK_}54-xJ8jqV6#+`v{FxeNp3TF+L_XcgbMq!!osWLOqD)btP-j zA$LCLq>t56v5g8V;pR8C*+^$;=n`h~6%1b1B|_N7vJCNO6>?uPw-vq(Om&<&lwfRl z5~7(wkI$?8DzK74moGr}U*FKsb24>TU=Y?=U-B{#E5)yF@Y7zAxTN#=%`OElk}=-Pg$`i*n^FyT11u@*sCRh6V@FY$}90l=rB z;wkNuB(X+nH4v=W6oc$^&Wuh~_exVW&9gE?VnlyVk0l?-qO34Ywbzd6M3-fWV}9Co zzcNa5<;*nqwyC&bbE7m0$=Itu>h3DseSr=f0oDQVBh;OhT^S0 zu?Imb!z`fWC)gEs$XbOe8c=fzmrMWX8mg559*Ty$7`dl!-_oySz4tKFRsmhyMe)T~~Wh zYb(+q5!f1oJ!8S=f1N3qyS+sVY-zC!l z+zq6LnXa@;m6$_bU7fKbS@$EzP=|jEYax~N?PpJ1N$>5KCVGwBiPoBnkrL48?K91h zGQi~4fv=vIdn-)bHQa>p=BO?=!OYHX&d3|%XV}}&^IzHHTGE%vl#<`IdmKgoQty15 zv#4Ru6~TnZ0)myNkc8Tzu4h2@;FE8vQk5HFWO@TCIXNo+e>!Se#V5OF)PR`Lo9JzL zITc5CCJsbnw4JBaYdJ2m#yB$7!WV85_&DnIc7Yw6O&ZnEapLfOiBiKPrF#Mc-@9I< zq^72&J5B85^9$@vY9NPwZHCr4@CSy8-dEF`#mw2GCmVN;VmOfCs~R6(zh>P3yo`B! z)3d>Qugcy$#ta8+V#u8yv!B~Vmh*kELz`Vd8R6Y!>c(fwt%Q|-q6$1hXtyLHE!w^) zioPgnZnm*6{H5~kM^_&yC4ftPR^%(kiq5WA7MG1h=Zp$^O1rb<&mSmAdVyQK|M5%u zpx@{@l0cKyE9UaV`-Ktg;>uOdPRHi4yIZ;SIegj%UGX|bes3>rpCQ&Dh2rnWGcIk1 zo1Eq^4AezZbmFRRMh4yGLjQ^(buMER#k2XKzdUOHAYf@AiE)=qqEUL|f}0f1SG`lVc z+?w2@;Ww)b){b?e{T%m_6rseLV-IbL7%a-Li)y_nrL`6k!&|fJ5&HKF@tyeF3Xf}V z&v)%`KP0&Ux?X&Zn|iwJCL~69JNq%|O`K?bI{vIpilz*2uqX1nwAWl&b?eqdU_X#d zkz%4TWGWwzPBQl}Wx^7$?^&uF-~O57?DGihdEv+oU`G~EyN#uD-W|H_BoJa!HV+=P zA?qifED4eOBKmhhX`a8x+pW^3iQB74d$cC|)Y*u_Z{Z2q)ZDeJSLK!b`p;{@>xI5G z@|bU{lOC<_`*_TPZ-}HDCXI|R23!Jq!!RjTZGuD#8B%a>V9LudegVCYp37#p+WyLy z90-#-zI`>Wk+tsS}Yoeuz8t;yeI7)FNrs*}?LH3!y$Obpy?v|`F!=YZRuxoVU! zIO>Sak8qX3*@v0)`TI$6~ZUx$_qg4mpkpFFNx zOYGvAVQ?cOtYQYAu`Gu8#e4&*S_UYCe>`v=(-2W0_m9efzfwjXJPG$sn6T%nwF*6S zqA^oHUep_yGmOG%8DI)|%*EJAAt3Sbm+Q zg8+YmsF0ZozQqMuMFlh)a*3!t{b{v+z2>N|ZmiM25&LD9*F6R5s_X)2#6u4y>x+2}`PB(a?AhS!Pd{-9?f^xIQN1dHw?-9T64QueW+?C(0e0&9Ij-hy>M zO3BGBV$(4uoZGYbi9FgMscF`y@~!bJ-u_XLOIvUdmRsV~7HATumQ464%3&q zU$u%3PR+rhg5^W0KlJ5@fSPPLv&aIse%wUnkY&JksYRkJHQc`|fjbx0jKkTIy}ML= zlb7hz#i>v9s|ActxL((jpg79)HQ;&TaskOh3NF2g9lBWu6`5fm*G30|m*WZ$&q<115vN8^i^bbbc3F%(yn%POX!96?Ea25!yR`}xUX#Fbu~`Ti0iF(Y|pfT z_ZoUcC`+K~RKoGW_(IeKu+r{oqMEKG>lWud4SCdf$?rfUvogb$i={!?Js)zphba=$ zB|=KTo|ECkTYN~WN40#N3;J}$+b_h`EkTG1aHuUK^a!snhAj2XUqU1HrIh%L&LCU) zu)DE3udCjzM@aP{&6Tt0`*XfLec+Un^w}r_;bXGiJ9MC}LA)!Pbhl3KJCnV3mDSZ}CRp}qHbsm&h5OQz&+?BXt~1oedgG%zt6`0` z;pOIB_)3aTCv@U|M-#~nbuRBPRA&w)-7?|3HDY7k&en%QjBsd*0;hXSqhmu&T@fkm zmj$%SS#`AdnQIb{SyF1%t4)WG0){)>o=LK zcFMXvwsD7t5@=bbw(jQIxV4(U7Sa48L?2@%FXPBm5XYU!g9XtMAh(_l<;D!wSBZef zVD0I?D<(#}VhB*;Q6JyHdh;?=Cxt&5+SpScI4v6S24Ym+=31@}-8?{b*w3?rwvm5eyV6#y`uIsH9`=rEn_? z&Z!Iltj1F2`|*tBo!M^|Pk7vk0waNMAbx^2?Z@g9H?9Rfcg(w66`~H3MZyK2^o7AB z2g_3KRBBuo|Nl0V@EfE0AT98 zkEOR$eng5B>ZT}!PU;^A0ukggNlM%|3xrKUE)FDLSGiB-fhY{F|Ey9Fsjt0h5}8%> zr~LlP8XzZ1eqHxSH6)X-7ww*8eX$tg8bATUJh?Xyj!Jjy7F#VdiJKdmq5E3 zWgq;d{_BcWSS1k5^6on+>y>^gg0ktu3EbLQu#Sk@6oSVd$sNhXsmSDv_1%b8)FVcK zZL7b9?117S8iU@64VXI9a_}fEfw9o3Mb`?p>10z*5{lf?D$!??b6n@DCG7y5DP~=r zy5Z?vU2WYi)RPG#eslN$@@3l0_md1T4n33#3;6A9k`RO^3W?)CnsXT3SE&uirp6O|7AQ74;UYF2dd3orFZMx%fBo{ukpTpPV>OjBF zog~rKC}3Fxx2&Jpahi9`{Nz#z%-G90e3RCFkM5Fo&kw7{cGlUQo%ZR!2{Q6kiJAk* zv|>`GsRlnl_{r~N{6Ome%~KFf{o&B1U$^3(RZihKpyv;8W)$%Fj(&{aFMn>^-w{q0 zHzJ;n<5KRcN$61%Ujv@#rp^?1_+m5Hb3zsg&TER}%jBQevj1(0#-IN_4nFIBi+2D7 zGT$8^+t4HMd2E@;-k2A*_1XzcCGU3w$gGseTYSjAyW|uU5A1FL@ClTIaDn`1hn1sR zKzY%ZG=UhDCZ3G`QC?v$gf#iORt@_8$4~G5XIN%2hK4Gw!H>kY^|ke|M-bAfY-Dd- zy`fE_v|DxO(~A#M%fX9lJ9zC+rR?sveX0Pt1JAMH#~Sjr3084Dm*5h~po?m>o)$7q znAl_Y)DNvv=6t^8(4RBHu}LZ_T>ESAUys5P=Lf}=cK+mGCQ3!2)NQ?2Q&IbD)WezZ z-?6v2Gw7ck=Oc&dAJy0usB;Yy;YDUz*>I}%JGGgvU)v?J}B3R{R zLe0}HP}^V^)T;`5*Xc*eKOcafexhdirs4LeH9g@-bWi>d6z%44-+H{t)}{$h<#Cm8y{&3%t+U<2CaD z!Nuen#;>=D75L(;3+`4?_qGI50{<{b911CS$=sl4e)j|FTI&8PIEvUMQ-~Mw(TQYf z#$z7)Bg7zPj#qK%MGuTVk+GXV3An7*>0MsbpgdEWe8XgAqxh1KiHC1@gBh_W)IgVL z1D(UVmP?U22~2pntgzeJ&p`G9$Uy7|5Q$k%9)MQgA>o=v5(W}rd0uB~gy>~QXW_wH zerAR4I%i(&gv+S>oXsTo#n1qk;d0a>373_hhHj+w<+!p98!;3;k$rJ>-{&7$Rqv$U zn9}b=bCGmKWq&-nk&yDh6ZX@gu-^nUdi`CNy7py5X%HN0J&_YR<&FWf9qi0S`i2@f zzs?ac)O~HBRT?w=Wtys`kDdztV+y`Oz9i9JKi1!Db339<3AZNP05VE^i>d?S*ZPRX zz>o)UgMmvcdmsE7+nvzs^k@k;(YRJ$vt&&&{+xi%B;TQ}$I4gBviJm%AYRvTMFA8& zJ>eKUzJU4MTO}{~-DcNAY&-9fQI)>X5dy^z5G*U**^caE^P$c+Py2khBjsf{d1Zfp zCXWf1Ie@me&Crs5ws(yKj;@)8Q&c_IGzD^nezkw`!}0XzFb8k z+t98?94qm|*ejqD?LjMWh!mh0W8$~l*42^ra$bzZLn7__g z!z#olYCA*L)J)3BXWgtcxs}|ZRn)2f2u=>UbkpncWG_VV5R_ZjM_c{h;1ua!4kl1k zaf80JdfU$3Isl>=lclA*<<@a}iUVSrhW^ErF5ewPO|#9ZlX4fln8`rfogN+P2Njol zvl5j%F88KcgEv;x+k!XqzB0~`&v@5G4Tyda>2r5Ee~iRl(+KQ39zU26`I!*nv82GR zHML}r2`s<#@acJyOlw}1ICq$CyVOB*tw)i~sYEt9Ur5PtPD%9eU>jG|DLae56I=`l zO~>>ZgswUO>FQ~VMGRk-7;^ly%b!3bWyAw;c>kxcC{sRJnyEg;+|RxLi_8j-+|N~b zYJAVyGXn(t@TWw~4uzJqdQU8=xkrcK)%nmh)3Kp>pXf<>n6fSDHfM=Y%^6XXn3X^# zX^UXet+-K-G`DWgaW*#@?kMSt^1LHif~Co@wl7->ZvkVxkN-tePX$5rW&*=5PWNy? z1dP-8DTp@CS0DbV&}-AuLwGB-#}?k{pt9@`;Y2Re&9{e;`E*W9Nl%Grks zG@-o1O!-Aw?p&kK%C~WF9+9|b@6!=}f8{oCCGorITt6PGv>k;%avzbq7K_I*6XDXybr7~6v9?3M*H5h%9uZRapJ9^p6k4R<=^ceM%>w{!4!w*|4 zcSvL^qAt42yE`;s^G%J?z;`^_;W_!v=n7dM?ev#+HTqjsPSwo^;)Rl-*ybiBC7X?n zB+MJP`;1<}!?7HaAR7D2Ar(NFiMV28PmVJHXnuW78@ z@Jh6vaO%K3aw|5^ziZHYKj>X%fdBNBNr# z`di0)g*wPT^}P2E%<`G+KoNdvU{s*O$LQTAg~}RmueB{=aK7}@d2?Q?x4B7a8f;Zg zX$LAs&kRamhRUA{e;G=PRODlgqfmf`L`Tfih%e-|cbp<*RRLtxMvuVjy{xI9SxP*f0GAy6&-w--6y;NI6Vd56!kmQ+m$%!ZyA#a9y{RU9ZL%qZ zU}S(92Bd2BJc!UVg#Z&YsJ1hZZGHI44iIj&bzkS`aZ+qL9x4PH{|MEs)iTS37r+i0<+|d`7QagfAO_^x7xQN{HGPN9We#6+! z(LL+=i(c6wDUOC^Zth5C+5@^Z=u;WHp;CPn0=8%FT{^?`e5bvhHMEV3P`wTHO>|jP zZPNABggh!~;9&v0;=gG_lf78|lUL%*TmzrtR)xg%<%?Y)+B|2zpMN~Ak24x6xm4VM zvgqJqW&gRb+U}lTtr0j_YEh6GE;f=ys7|0gVq6Sj5tb(L8~BNgxuYDC5#9(f_<3OJ z+m1J=EtEx@QVN5Jl|x;P0esHfqbRi*Ma`g@!DM>36@f~lEOaIK^DTB+ATaV6_A$7T=4j0$5^DEx z{Ay2dV`6nlESW+GOl?t@H#hEp56CQC4lnk7uKDoW`PoJDw6L^v|ANob(DOg*&#Qe7 zpOt_5;~x9=dP(s2{jfrxRlVN|?*X2f zeR1o9Ur*ZLRffOa<13E7;HD8iJg08;KGveQ9Z);>ie3tp|dCB%V2p!zF+n? zFA|HXTa&19$tw!2+8Bm1o}E7YEZck<;o9!9t=`D4Rk0(4ylWmkQ;hGnQA?xKiGt+n z?EO0#rwx-jyxeVpS0nyA5?SL~Y9fFg#_#{5o}2;?#%RSF(@Cc2L$fDikhPY_ zE?XHZcDsSd`h$l1j0-9sK3o|QN9(fz8w21;FP1G^IBdkaMohPLK=aSm$Il%*6(uxE zl6uQKX1XXD5yPXn3|_wh5>r?7Y{RPcZ9&5UWCQPHR0(!AUe8G&(`_Q<{1BYdn;AQ{a7}&c#Icx1pSw_RCi=+U&e!(R^sr2 z#5HivXTX6g41TjWx9(X*zaI=Kd~4wG^?hc~FRf?1`;C?8(~A3w7-E!d6Y<}pdw<&- z+Rg=TJiF{SISIKJn0+yiO?}p{`Rs(^+23E&9)EvdoNm7Sv-$78BY$NR6B7$v{^IlA z1n)~t^nUIzhDT%pCm@}t8uGmGl|f+L%vsZ5;D zf73er!9U|$PV*{a(sbaUb=^$h!em6BV8``$Z7z`_pXdxqe}YLsE!3i)=rpyFAP{Gl zH!@QCf?o;^0(*KIFI>o!R7Czzd_dvPuU|ZIq#15=~U*E$LtR`OYRk- zO~Y+j!>>`A6PS581Pho@JVa$)cjsuIjaR027U~b-($5aiHa&&DTocJ~!Wh5Faz(lOB+^OcTRG=4$9getcdLEe?2@Kev{7xl2 z7Eup@+;+C70;aCVh#{yIH9{5mlY_b(7WK>%>LMs7BDuJ#99C%gjJi-}%$k(=d@XPP zXZt%Zww8I-NIh2|PSMKyaB9=<;H~HI)Psx4Q{AMAEr27_v-U^#@*8!=5*_jxMC7SN zMCjse@hidW#ThX`G99&6s*^x#`m?FS3#2IG%)B-GJ&9PJJic`hG+SeL&u77l_Qpui zfd@SVBD>Q#@aPlfbXX>i;6dQK_pZ&`wOK+^=r74nGc4QUQSNQpQ1{VhGab%`7!noP z)whXeC9>TH!;Bz8xpF-7L%2r^{X};C;~0QN?2N&Y|0_JNc9!Q9cRTSxf6*w~vU1I1 zJ3J4i_b5z?4?}u-nqYt=Zx-Q`&Ve)m>pO*UgEld-KdNoztwG=q#(U%T4`fcu863)e zSH5OkJcl@JOZCNI;nA?N24r1=1t`DDP!dBUzop=Qjrwb+Ur!^N*ap(g-vFJlE&;?O zx$lG~zZ(#Q6jC*VQVo4nhszcqleV`0Ee`B|ibh4o2}9 zCx9`hKgpii9)WoPv_msY*rKGUja@ zztT22oOl{IY?=X34HmZL_m8=N=g+++je3}_V(er?ua~nm;Nqm0Ew0jIbJ(CYKu(6U z7Qd4LC=o&PJgcbv!K};WId}OfVvE~%Zxm9 zYrj=n_(nf!K_LPE0l!7C2)*% z%6TL%v;6s?p2TBcuf7|VbAe+TIgTl&aL6nv*?~j~;Z0ZS|KsGChT@Z6&(Du;UJ9B! z?hI`K9$9lctB#ua;b4@YWlPG(9MAV5XW)4^)16v4a+~+B=FNS^@A9LyOnx(lM;RXY zlQNUy==#!7Rs}{#1ml{H+dCeQd5W`}g+TzdtuT}R+A&tK%x!b@;ctU3jiuY+>%Dh7 z6Fb((Lqjy5?o4AmUx_(Be6X7g-O@(&j-D-DPT5rK!umj|^A*c{aq=@^Zg&>uRK7YK z+zZOym$66Z!r@k&pEZ%1@pg}o5@1xA+FxnS56MlgaF6E=kLML>42gq~aehx3fZP$p8K(Hj%pfU8iM+7hb2g5S7JY6U7P+Oir2)3=c}*BrFPtM^3E7D_@9p zEL0D?BERI*_s8Xh8n-8M7#fSqi?*k3pR)DD0w;$R5^oiRuZD-5;1WCrb5iHK$hq8yf zgDAqQjK406S~J^GRdt>??MkHt&RqZSo#x}>vJgERrN=i!_WrfSoP9@3LXus>qWxIS zmF+GoQB>;E_6PSHv2rf&JukqSIejz9*4Am49qykTco}+oehSvHM8AnzU4en)t7k&K zEQ@Ho80@~YpWkz4aWW3)c+!aclk1Zn557$l9yHYU)#b?QVSIhvAyRJ7r!h%2dn;Ez zrvM4n(A)$+wUDs0;nlfGoBL^BN*UCUSUY_?UsLg{zI+1%(Z`S9iZy-sBVFV2eYrF8 zS1+oL$;szh1nf&n@v94N)(j^$UzxDZKJe8#x@Y^CoRXqOMVWSET#>s%3ZaV;PADWV z*MHwGTX#LHpo{L~aunb8-IjCNCrK&pg~aI3F*(jPy$HhFTcJnIM~>Fh#biViLTjw@ z+ajD2u-d6jt)uq&ZK`i-x(?w-B3s^5^&$TaOgu9O9Cgw=!{zfk6{PAp*x8f6lVcPJ zX=^sG)5ULMVB1-_pNsHx)|Qx)Kl*7OPuznt?;2W z6Bc?~8NUlo9DV#s7lSCZSCUYLJ??2ZIy{)hCSLlPyet@@`FQu$&` z)@Mk6X^g7f$-1wqtv+tNC;3uqS?eJ{TypRsT_5Atj&)sywbQRRIx3SJ=I7T)FI9od zwayKrA2^o3Q+}teLehjaYhhM<(h%LMd^y8ugEMtJj+BmDP1n@aL_~dlAp(;OMS0_V zre|3wb6$W^ozQ<1R>!RIIaMDmfYn-G`k`DO#Kk}MWz;p=0Mw-IOWgJ!rXj z|9iQ@Huu9`!N>mfKf&%VwUsXZ=l`RB6F#!R^WSeke__V=dxi0Ty+?1`ZV*NP`BzLnzyGHNHIS;d7SHGuGx(do`gE&-vPw#wv{e$z!Bko1|q$*Yyx7rzf z`JH50l3CD)?rC~|>l$xIM@K1rTznF@R>1Ul@2O$W0ySR%%UDXIt`y*!8EdpNb)Wrd z9sw)Xm{{5Jg)mJmt@U+Ft{qFhWPi*x^Vq|m`1+Qx|5Fu)m3-%o{RMlm^aQ+2!Vp7fHvE^%U7f`OXd{zadSt=ThUf#{g&PcjB9B7wA=JcX1A5m28a`(rt~BC zjW++rqOy`5vCtL~5G~dizUuex`p5-=)m^RLEpAsysjP=(HpyFa8ipm?!3oAOi^;m$ z+Dn5g`2{YJVEoH@mqq@T0QlT!JeE9Wgegz{zT^1kyid|1EDA%lX1ffX##4xX!ZwMc z-uzhs%jrd{ztRDmSqzo?_j?h-{MM#Tt%-wW^dDJk2eC~0NXHl;1xC;?DTNQKth+J0Bc3$Hj>IjPF@PMv=!oIIku?|iZr zT1siOlyZ?#DLff@rKA+%%oc9!+Ke@+xVtR8t?k-eIn9x=D9(HVDdW1f+%2i3)MPlc z+9kNMzN|`XE#^Gq`(F^|mtL@YX4~l7dG|J&)Imp&nDnMEn=++!O}xiB2`Z~?5sQ%# zew**dmCabv>#_9usll7sl}#-zi;Ho%`D^ONsu(O~aSOeXbGRP)ohoqF-}MaMIv>FqeKr(E{2lVgR{hgV(sI zY5g{p`M|wdDOl{}au!CJJcLm_w`;yLD=OP`B&HzKR~jG0Dt;i=X+1rL(-Xh`D1JCXuO?)*(MoBJxn~O1*q&kL{QdG|?l| zXJkztDJ`$z??4juJtc`$a|a z<&g>t5Z)d>zcETGw zSyg|J^&|QYP5YNYKh?>*Vix4fqz$$9_w!Dsc=8kdCKVGB668Bdj>_Ce1-mRO&bold zJU$`eRj<9onKS2#j8wQvU|MT4%9g$Bg{K<|&z14JEFQBz;7Y{BxxI({$=QJLcjWEJ zcKPJ-cWPr{94gkc@nnHBRJTo^eaVhCzhz(YA7L{cwlk$2G_ZpR<=C~kGGXvo_PKt~ zA%7OHR6K;qkME_0U|SCrd67nvxx zlkoUW=TAj02w9%#%Xd(mlX?ICy^kp%OSRs|J^Q;PA{?U4e-E$j(7xOdeA21>45{Y0SID6Gt=7ESfmTm~diDu+M(jWhVL0izzK~p%$%%+2;jDqE4dawN=4{m{HrmukG_^%slAf?a`42rr4p}2i#l9g-MeJX$?iy>(e!+UNg zHVggnJ*af$hn>Ej-mq@KxbC{J8bGNQa7F72;_9^%F`v5@O_|e}@kUd|;(on`?6sjBp9)v+?7zc{y%^M-Pwq`Z86 z(%_O168e-{Hw^~~&|gYP!V`Yjph;LOqImvP5HO*JckwY5eHUI*Hm;>BJ1SF?;4VSx zQImfRXmxE&RyaR-YRU#~H2~bH!cF&~8lwe&oSmI5S!z9c&lkzd!`oE1SMUtZZ#`8q zlOtKGZYF3DaDKVTS|v)i?AJ|oK2Lyqi&t<?o39w7sghTIN$j zI+_g{iHtcSG?|_}J8qOwtxKmuc6_}4VW~U-g59e>yVZA)1R-hJ4|Kuct9&Rxr=r+h zW@Q;xjz%VFJ~p+#vcDK)40dnYv}rw9^dkP9$#V&V8{k1)hK@y#Jj+QbWgHQtR#hwj zI-D7FY-_L9nuPg;R=@Xgfpi4(lqkbN>dz8VQ|J7Rv$}nSJ>I-|^TN3Bkr=ZeH91*n zu4kNYXmVoWYOe}3ZCTilq(IcPyWq*&b>k7lzJiF5kPvf6-w!*LKAZJJ2FXcwng3Ua zI1|ET7YE7Zabk@ug)=#glu#Un4T@yzOn8W-mG{bm0KHNm*_nQ_puY-U8!IsM2xepf zZf!Qr7Am1z+a>M=XhVDTdI#3-#>&Qg=(J6{hkLjyDJnTPxcPib-ostfmM7f^kGM^G zXseOx{3GpG#FZy{lzms0%FBlzu*vj8sATj1J5=7jeb%$2!lbs6Fw7yQr;}?y{S}j{ zp|ydb`bX)zUW+$st2yGbn&4-;z zX7k~F%Uy;W;u8}MTz2BFK`@y7)#9V>m-KuuXRZ-RaQg+_mefSM%#msV#%HO3U4HXH z0%NJZbMkXo<}!|<>qJLcI7oQml9#7MN@$%qX~#t6EO67daQT%w9;eMuPt7+@7r}$` zLLeY|?AQBZ&Q&YN@ZjMdKa%% zjS6FXgD|xqs7C{1-a9MA8KdHhzBsaPS&7g2?QI-*7cb~^?0c}HxV1ir7de2iv+h}ewF>}P>)~OnHNQD|Rr7%VQ(lRx zCIm2X{;6*11KHA%9ZFLg+GgMyi3co%`b}Li-FVx}D;}z!zqMDyqg~cq5S#$yZy5lx zSuellmu5=K5Jh*=={7XY;xj*N7Nqe3mzXXXvXt@T8_0 zDwNplg(bzmJCM3Wf9-oIMa7c$^+2`4kFj51ENL^N5eV>`bHftC73YR40yo`AzuBTp zHZobsiCbX9&9g-}j>GR;0F5j7?|_}`*ZXjzaO5!$rHZ?}f*VJ<6tEbD{S3wX+qYfX znAHw%z{{-&DcrKZkX-f`@)v}2?*C*)H45;o`v3Vi_e=iC!nSAcTz_26Ki>6e6Kf&R z?|-~&`s~L4^}+v7e@xBRNXy=Y!7b=Ql8+{|KI-`a7g}Sp0$Ualda5`WUOzR74Icr= zxtIAfA!9w?d#a-tj|x-Z#vl-)x|YVg_k9wT4)O{WA&zw}^KjS3VPRD&D@vMX2$<$$ zaYj|h03oH4l^9c4#s}GTRKSf{;MS&=(;Kqrmx=wuZR!HX3;pDBa@n98V#&oAqE4Cr z;TDhe3ckKx`8ig(^-lCUr+J9-2x}$60c#&m^j}=|6buC@I{9=Y1rxk#3BKgHcem0v z%&&KIC+3RNnY!c0gK;|YPIi?hdn=`81J&~nVAv8taW3WnX9JEP&~iy zv*S&3+G z(#OI|Bdq?j0C4)NhL~$ZZh%-NR8?Cc#^a1V4xq|{8c;ax2k;_a`mZd;2^N9XZ%@1! zBy8&wRr(#qhyWwdqog_Cq0eh27u!svw-ATrt`gn7Q%Q&kW%-SZ(&wM3jty4^6=pWp z)NF>qg)QiBi=ZFSelUA`^;MvF&o?^-L~Y~uy07-;T*fUzzgz40&{_!w4=C2)@#Dwg z)K#bx-ZKLwap_s*i4hn&p{cofp-x_|jfrMrHnJm7D`&8JX)Zf&^4%;BS-sP$}RG)Pv zrYL$Yw#Su6+hrC#zW$*Gh`AZag_V0r#P;Oe{=qU|UpJA89e^Th{C0lY?^fKHC8ml8 z)@V|>O_g%)W#KI*1+Thu9oRCk%t@yFoX4+ag;t-g+}~e3w9RY4(Hn6} z_O=GdpmfuE(>4qYcaQ1XFJ14kNcFn~ebC_D&=Mj!BUHSc@=LNgfTu*w2!`P!@# zsmDBG#G8LI)%TRRcm0*ZiA1~L*TGj#6+MJU(0J`UR`Wp!q_UQm0`%c+M!vIopjWK$ zhZ5oekO!gHbQUg^!~f?6828z$?!N{%Mr|IVYaw2e>7^8I4$4vydC-?yBdk)1Xhpzu zLBMo8cO_8vIZs^DI+rGZ7}kHULkl4uq&FCLwyqfBmJR7d<{HiygM+wdeQ>*0<69Yd zun`qQ0hdKi{230Vc^34-Lb32dqKg1z`}Gqs;nX!$))v(wjsPmi z4!{JoHiLb~;Hj)WioHb?ZRV0TwGl_Z(k`VuT9lA*z{<+15HKDE;@OTtiD1SvNldz` zwhxx1G>H@uDirdf(FKr*oIylbho7+Fu{glpx6RB(3;T*0tJAthM~P5=5Md&FVhYGT zbh;9-ep(@QA}PWPZA@>8r?~9EJuYoP3e*nOH64$+e(xqC89)mboMvUHUY@lCo5br` z-9-=&5YH-=)22+HLFjtJ#dw?%aEb}E93T=+KE(_8{5;GLF9gOGP{Pj)mL(w`s5I&+ zBPm(kEIZVMvRQ>v$+1XMWs=nWBA^h?#}<@6dICQf?C&UbP-*Gg1wSa(lPL4d1!z4k zPID;hQlRbz5M%=g!L8Jz8h7&y5J2;zHkwYroAwJpa`a}K<2m~%6SBB^m^Qh3Fs$w= z9?-ob((8}_z4YK)(f|$$S~)p40MxLN;^|DqIrj;;EX@~3SxPCj;zHXW+{CmBto>9k zCGZjD%;tu`7zPVr1VkTR95o47p9f-2lf!xiW>Qs|);VI+%KPwVQ~_&JK}K(~R;B4P zP}MYEE@yT52vT&gsW^>f-4}gSE zL24h%T^MA7x~G%6xaY;u5l|=htzRLOwua&1+or1BVX}i?WkK!`?tN&_t7l`{BMnfVR~VOv{RJoKF_ zO6zuK3^8VhDA0VHpkJCJy#YSW8(`U2P=Gj8>8F7{#f1>!LA^s7H3Df_6n+jB${`|X zxj*kIuo(F*)Eaq@$AIXIzLU?hzmg+he$%Hs)V-|i?Vm9z0!(vL90t1MnqmT^9%D?~ zhuibANM`Y`6Q_#Cc7N{~~DAR~^O40NM1t_b56->2Of zc=$9HkYaF3p7{dUMm)V& zAb>I=I3avLJ+t^}VBiK8@KzAuLlwtIbuvcRq#iKl(@Ae6g!uu7c-b-K3^;P(qi)$# zZU0|7$ruI|wgH6$jxmiJERnyK-suJ3fQNj&lHNI5GPHI|l|I5zPf7*_H4tT6c7*>- zeBgbh)*_IOP|Ru;8BKtG%&F)(XW`?Mh@m{e+y)8;^>LljUlA{hMg?N?xe7Lu`Hj$X zH%?4UP(Y$?f+h!12xFTquy*y0(YzLb&JeYAL(Ue|qCtHf>yXn+D)*J;Jlix7j2ve!IYd#DEwnE$WmurUCT`R8dB} zO^C|{{jO|IzI}Z@fj{c&HB9CoaGwVC9oUTy0^uQO-BG`oHcmQ8M$Hziz+LxMSKp{^ zM9IgT7hqg)YHIh}xo&wqdbH*KpgB)HSL*y`wDqV(NkB4^aZLZr(!~bza3+i@;s?8# zj3FlNCI*K@L13F1ywEa)OD zU?t)pP}Q6C-Q3((0Q3^WP>Rj=_xE%5twO%oBS(;*OkRe-v94txyqukzn=4w^k72H@ zjE0JvoS6fx`N|(~T6j+u`mnMysNR>1QV}*5WjH9Lv~bc$Af8s3_)NVka{-D-<1|OB zFgRNL@P6Q#Q6C9 zPyw0d*IH9ue0jdpY~-W?=u0@y8r~oFGP3}+-w(#imQ87?+gk&?7lmWXv|Lp~7Zt0F zJSbxYYo5%xq2*<#<26%9mRTRl1$oT$R5B?7%%G8xk-ZTdVAmlQUG`%L2nq)iMDTuJ z29UzJm`HC#*aX(v1o-mGXF5_>q*TB_Te@6Nr-I%0RIwbg5B&v$fzlTFeX3@P$hM;5 z7+Flao2q?^g9|&6?IPmf05}_FxVCQ+J` zY-*)9JQiX2htVk9P0#do&s=+r%#-5Us7PaNMFo)dcf_2|aA zpsFUi^Oj5(9^9{I3U7i+4iTP}5adprm^%`>;l{p8y_YP)cKzP2k=1$AeT77O(|$>I z>Z(G@Ri6*7)5Wgt?%f}LrCslwRGCz1bsGZUhSw|ek$!hQ#5`R7{j$Ma8QCNNn()SE zy;U>`fRqkJW&FpR>69PcK@(DA5o;U;>Y3zPdgO?NKY?7Ch7DMK>q5A{Y3DGo_$`UF)dkuD5Tkf?e(%k9 zQ-@NZ$!4e+nRjIv;*oJbuwtjLiL}?eTN{i#dM&vczC0rXoqHXl>IGOzDMRICl>BJ0 zAO(DqFFNce_x$Dujm6O)EH-99+JRr(#`j>ThVSl5s&`-CV17qK0Z^|Hq;@8L&N*k1 z3BSZs;t6ufwGQ-Ld3Sw!Y{%V{`Hg%oOuVf|zl+UQ4Ks)=Qvlvh+*&=7&zUjBVe8Vfhy(;=Nm%Yuwysq0p zfS0#_%DWEHGo5e(2o9UOjofyia(F7KC?xo6QZAMmo2MmsfcKD%?Sw5 zV1(RrE=Pu@A)NC4@=UjFUW!lCGtUN*w9ogZ+BJwgL-**=7*?aTzT$DJ1Uu>`E}zz! z6DBAC&_1D42wWk%0vDueaH*rrwt!_Bd5`4$6;NYOG$G_&xvI}OAgQnc1h z-3)`;1J=peMjb{o^t~0qmz&^mJO}!iAIPwbGKv zP_ze&*YK*0Yl=k;u;r{CzY%VaBPXW4JTq6-jb>1LkfBl?B)f`ZQqh- zWhM|{flnInzT5JxZ(vIx46G@9zHddy|G?|>^Oeq^Y>pE484WR_Q?s)v3-%j1ITL%#l`xLITDNkG4l|H8>*v%fBSOAxG!!-%^BzMb1PyOKTKorTD1 z->gTvZdU4Id4^#@e&V|fld?qDqSC%e-}b1~@5N;{9q%=qw59E4vr~abyTS<8rY{XY zG_Cx4V_a-o1BV6aeZQve(gefKdYwW?j^q-6z#b9zpSogb*^pVbVt`&yY+;QZ zQY85x5*23~X{)OSQ3 z0!4IRhaJF~`O#e(DXeTAA-M$IPa#dx&Cc8jf+d%~ho8}MtNJuMGI9qb*Og!7aMRbF zLqkKwW$9dPXCg8p6k?2zwc#T$3e0U44-NbY0;-G^i)Fe8*{I|rtK!Xsc>Ir>*Zp;4 z#Z6lfx=T3~kG{XxGH!uE#$lmxJ?<`@kfx*MkJ%g+9IPqTp{FzmJ0sd6M_}KnN_RE^ zPP~YQ5VZY9xzJDr0R+@z?A0Q1pIg7%cP0!BTq2f*^_nwva}Ur2MB!$qsaC7}@$c)A zZ|?f*L)z8fCt&e`wJWY`R3LfALo|k<7|zgNgKDJ+q?i#V*{bArUL@zJM&Wp@VIfd+ z`PnZWaw|RNR8U)`51Tv_=afm&FnMotm6q&!#@V{%qrOGXpIS?HXm)$b_=bP{!vkk@mmh|5$jWc?9-e}lL zV2`8f{=P%%q{eQLEdnQ4EsKm&Pje|ZO0+0Ue>xCxhu)q!)s&14Q*$C%=PTz&{=8A= zB+FQizy^LUXqApb;e=icAe$H^`h0c2bM+3?YG5s;Gsw(t977sOFhWvqxi}-sBs=uj z=aB`HVNo(&3}KozLLo#|y5p3i|{JhB^`;TQb2$Ui~y440Lnwr32*KACvxD4I{x&$ZgYp}e$9*VJD+ z&mhb!TP}UvVx^8kc!KYm#Wvl`=j=7Tab3+K91Sg%I3#<(+)!S={Lhy`pT$CBM0NA6 z-hvyI;r^gN6vh@5r8jIc7=XDcpi?s|-arz|2OM)1VWaJvd671i=KcqA+VUJDvN$jm z8@7FM)V8LxU_ekbEa--+lYyVnPQR5g3S#e;_1Q}3^wj`2+KY)m73+D!H7{B$B-n`U ztbU$_S)0yqKpbFQ;z0An?PK#4%UL#?l}^e{7lQf14Ol(HGBeE%dp_%DnAEAd=?`X1 zzqYov%5`55Y@J8Q{XqtH1`Q_Iw&ptyC_H(?#i`%_+oO%@0{&8nV69I~K#l2Bz|%oD zYe0Aox-nGhv!qhDnNjKuuxnO|{ie@L#r{F|$HK@;LB$)b8;#=NmsiKpEWq@N1uJ>&+CEF6I(+Yxl$HRl86?c;TckW`yRI*ZNjrD!Z~-nl zvr_c_=^9Pv#nE*$9smSlJ#IoNr7X>4;xoyX+XKb!8CZZ@M{>yPL#jwHgSuiCN9#li zEFC!#)3lR@`M33Ni8`j)6!(z^OyM|HuH?@xR&@3iB*^tSmV`YK2-v?q6;a|KQzDLf zSVpK2B2^C)=b|8Asu}xZzkWfP|KwEZd=;zoW&HH?Gy&CigCQJ@Z^J?@f7dZA0M$mE zxHwDzuw_>Lc!!0)nyIM(DprPMWw0h3Q+QGJLY}3LN-M&1GERe~C2>+Gkw0iqAYT0Q zwXskGnnht19w1ozWf>M^cHaA9l0~AnVgllDWTd^OC-j1r^^jG!iJaEbauooCsS7N! z8z``|5|Jtax5gI78_D?jix+=1XqqihYV68PgttEs!7>4<#ebIa^=s}uL*VhbDji!i z54G>D`wtCWY~0qpz!e1nWdBu^}_QM`6=nKRQ=*QSg!#R^BCiXuxP&`Nm#!6-Gt zkYTK)3z8|}9U(BWN|ex#dO!6rA@XVOkt4oDpc|vHhK_eEEG!DRn(Ktk@hg>xi5sZW zVBk&LZwR}TeP{n7kVKb#YDyUM)f+qIhVOUDgPv%rJTgi(ij4}KuqcbtRylBYrR4x7 zc|i{uF{ zF|S@7MtZFT9Es6E9Mg)sJ6+$8i@!(nB2X2vc z)-8cX=`O>$ySwMbPF%WH1A}NDtE;OXKQeEnFTCRL|8sdwkBbMOxUytOEo9SeyD6VN zm!P0x6Yfo{B57FPIz{?$y-II=z=s>Q1A{r1jivJERH1MhgpiIuMZ>W{@ChrwkuL^#Ky zemB3@@P<=3`eK*n43vy{G?vW8pVT-`>7P`=Bk#&K?;sjyM%JbrI7r?NI;rRPKkf%p znhsUWVauDF>9-cdnTz6zVT5?|a5Uhz7Zg8F*6Qboq@as+I9Xo;hBFmvCWn-DbcFQV zUY^uR7dT`xk33a_j5_3WA+a3NN^YkL<@TuD1R862%;R`BjLE9)wNZdlvCYFL6Rq5O z;G_?5n|K{YaU>5CxnA)-k-h?_$&cxoW*zUfGVn;#Ccu%o{^{;)Su_gl0<%TPl>?Jd zZlQ)t9>B9aboH;3B>Nv_Gl9m51YhpECi76- z?U16TrK`*B@9&TLIU*7)J@ELPqZaxyHZO{9oM`Lqtp|A?rH~Wy$m=9iQ1L9?zd zXGZiqT6c#4hDm~@D~_(&Jd;fi7&A%4qeWvqtT6)Xl~+pU_q-a#04Aa-}t^bjecLRz;% z`f>y2mje(?fs{1t$}-jV^pss&TU+18&M{-@50Rgi=>B_1mu1lcbC)YGK*^=L}K1YGl6Q23GCbX8&MXe#7! zuFtY1@tlb&v)p;H zUYLYVN}Ohg^B(J7V=DJCA`~_jlyoFG2k=m=kpd2XOGLnuV7SWa-OKNGqcw%Y0>{dU zQLU4Pct_HmnfAeG#C?>Nm61{d^-3N%_&aHuPbn(L$T-D*yW`&kY~KP6);Yrimg zhn~-O+KVlp@OkVR`r%Sj2KpT-h@))Pgcr9U|P}vr)>aEPv2$gF)9XHXU!7*jlql4h*GQ z@gztkK%mF3n6B@L{T|l zydehpTj+oT0eZ%391aT&`&(b1;++yS$xDY4A^Xj!-5(l*&Z)Rbr4f@8F%(GRW`t~z zpO+&>KzQUEmt_-tKm*cEMUq|!_%F2~Vm*$|Ujg2QM)VNfyrP5k{;k$2?)$(*8GQJT z>Q?D)jEsE}ILZlVvO%n|5K=~X)(&(J2?i7b{}$Vp&|on&w5I5|n86NZr*i7Vt={Yf z*gYs^YpTei(xgy-b*59%l|fICfq9ivfEztey!$aQ&3h?AZFQLr1MK5STmiSj zNqVP@wR&0arN>Df3^_lpP9MmmkZP2BL}6 zb-o5*@g$F|<6DD_>;F=BJPprtGM58z zRzL2lG%4RYg7_;7Z~$!&+eCke?RF@ANXUP$l>}5IHI*Mw_=J+j%@cdUYGs7-IF&{s zfQ^nKEiEr|UgEqGD>h=I?R!ud>nDNM!;>cq$tEtK^`JHdXmKmrdzg#Pc1S|q3F!(Q z+N%C7tDiLAr=>kXqBG)9NUcOtCJK4EaLCpP#IFkp;RJxX)Q8tM9syhn5r%YfWIRyd zy$#_1Tm?*dXMcNVXYGbbVUd3DwZOo>^+~TXL^$

MDQ_E93z=^V z@>lZvMBrAWZBX3I-2kOJm%cY%-rjM@#!3xxkq@W|F95|{Ej{Z##`Ao9EGXmgRv5FMB zcgdCgIEf@$=%FsYl+n$z3iUi?=hwdkoBBaP*ZQIAm1_wMTT??5!=H2>#>Oh2Jo%u< z9=*GbP>##Egj_!aM;j4wbv#04F_{|3x5bu(pjixPSe~(ZN0ArATo0fWA|QT0hK+<5 zi@J_2xuxfkbsr0X;1sffhB);db#b1LAIBm!=6DdWSaWgp(V0sHEM6@m5_6Pt_`IAi z3MLk;S^-P1SPm8K$!I-^4LavPBOSF;GV{p2NY*Y4;5rMV6r_SvQ*v*Iwe9-vIb_gv zQ+5dw08-H9(FP!?sHVn`6!IUy&kJ78Nuc77|h`mP6p~CyVjK zTlybIQhyT&1ZB;V>wAhLy5W<_+VoNjSWp&H(7INP!@d6r@?)h1YEL4uAZNr%`S_?uZH1oP)QXTs=pwAP5apG2!%0(HX~Yg z4~2_VzkQiN&b6tYnQ(iSB;wpV-hMj~76kT;uv5*Yucvts25ixmn%sfqQn^9C{cBDB z6%t$uo?SfJ3uWwae!AOmWson^$%;APAfGUMM;)nAnLX%`bLJenSLod@p@#%|LHeMV z5CA5P$5v>hK+mRP@we*NZ-x2}ZhCatU;G{w%Vk1#!l_bDCKcBJUY&I)=fOY z%6JM%+&dmrJ27rCt9XUxK`m`b-_#N%u2FBGGE|Ge60FMro)BwmM z2nO0Ya<=jIA>~3Nhm<_yZ;q#+rUOGHBLu4kAd@E2^Kx29s}?C*-rW9qVZj3f`;M)C zmxIt}$m&tto%f=Ge%J)UQJ`@sAu9vhTVJgyMO^AIl?J*<93)>T58)>WHrdaGs*o8& zl7Se^hoFA+(rI+TL=+MVWMaWU*}-*VNG5{<1*`5g#v5`lLfovf0k6SrnIw63r#w9K z9h(461Bu>cZPHeZ3mops9P024I&yq<_7L~YtIL8nAN714dvk7VZ^x}o4Z2@PdcJnb z$wvP6`@^3-$9@mHeQAqcfO$s#uH9#3cW!aHFzEI~ki|ZPnP)C(XrZE}=T=E%X63RU zN_!Y|(~E|NQ?;SO{UlO*qKcatK}qxg+OX@T)IlShww8Na zZS9%3xH!Qdg2$#8CtI@6>Mz^uW>;T2^=9+W@rXGlCMNQc@PUj)D=fV^R{DVk59_y~ zp`j1Gv)4>b8)tiSx}241&}w3(E#MLus2LU(R_Z>gBYJc*#`Dd#JFoit`|sSndxVku zkVS3yB&Iw*J`OaiG=T03#plkhu9(!+)QbiNwl{Acj5sS9FL!;7asW!LQ>~lN#zL*QK(|SLp<=$_dxHG(|nFf2eNt#&9Wk5ke^j894t8<(oZBh zC0F=!SPTF#1%JI-RbrEm>e$N4N**4MJKR4s)W%{3YGXM`hZ7PL_1|80Ap0U8;O?B{ zOy{Y>(g4#A!eJj?US8z2bn0*nt8WMc?IMThz6)cz;K9bXvO+^c!5H>l6F}Z7C|oTb zSpvOUc33Rh3XgFK>gnx`*Nc*v{Py9B?%buEUfOh5`XQ$wJl4vc58m)fQtk3jktNmD z)fbJ7(sOd;A3l6o>c8yR)6;YE)T!>d4&+luOg|_kw%L`1Am8xZOKTVOS^w(Tuj`+| mb8q9O|N8@2k^f$g5qZ0>XsxOEq5H^!o!2!yldW^(!T$o6XV2jP literal 0 HcmV?d00001 From 74ad5906cf7be0576ef908714f182cb230e4c14d Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:55:28 +0300 Subject: [PATCH 72/98] Update student.ipynb --- student.ipynb | 416 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 416 insertions(+) diff --git a/student.ipynb b/student.ipynb index 9a1afd73..2ecaba0c 100644 --- a/student.ipynb +++ b/student.ipynb @@ -7085,6 +7085,422 @@ "# Show the plot\n", "plt.show()\n" ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 15733 entries, 4438 to 16247\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 bedrooms 15733 non-null int64 \n", + " 1 bathrooms 15733 non-null float64 \n", + " 2 sqft_living 15733 non-null int64 \n", + " 3 sqft_lot 15733 non-null int64 \n", + " 4 waterfront 15733 non-null float64 \n", + " 5 floors 15733 non-null float64 \n", + " 6 grade 15733 non-null int32 \n", + " 7 yr_built 15733 non-null int64 \n", + " 8 2 1 non-null Sparse[float64, 0]\n", + " 9 3 1 non-null Sparse[float64, 0]\n", + " 10 4 1 non-null Sparse[float64, 0]\n", + " 11 5 1 non-null Sparse[float64, 0]\n", + "dtypes: Sparse[float64, 0](4), float64(3), int32(1), int64(4)\n", + "memory usage: 1.2 MB\n" + ] + } + ], + "source": [ + "X_train.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
bedroomsbathroomssqft_lotwaterfrontfloorsgrade
443842.5060000.02.08
1535341.5063830.01.07
684542.5078000.02.08
1819731.50110920.01.07
219843.75349820.02.012
.....................
1160442.75350700.01.58
1230521.5011490.02.07
555122.0040000.01.07
88932.50253410.02.09
1624731.0087100.01.07
\n", + "

15733 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " bedrooms bathrooms sqft_lot waterfront floors grade\n", + "4438 4 2.50 6000 0.0 2.0 8\n", + "15353 4 1.50 6383 0.0 1.0 7\n", + "6845 4 2.50 7800 0.0 2.0 8\n", + "18197 3 1.50 11092 0.0 1.0 7\n", + "2198 4 3.75 34982 0.0 2.0 12\n", + "... ... ... ... ... ... ...\n", + "11604 4 2.75 35070 0.0 1.5 8\n", + "12305 2 1.50 1149 0.0 2.0 7\n", + "5551 2 2.00 4000 0.0 1.0 7\n", + "889 3 2.50 25341 0.0 2.0 9\n", + "16247 3 1.00 8710 0.0 1.0 7\n", + "\n", + "[15733 rows x 6 columns]" + ] + }, + "execution_count": 134, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Define the subset of columns\n", + "subset_columns = ['bedrooms', 'bathrooms', 'sqft_lot', 'waterfront', 'floors', 'grade']\n", + "\n", + "# Create X_train_second_model by selecting the subset of columns\n", + "X_train_second_model = X_train[subset_columns].copy()\n", + "X_train_second_model\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Current Model\n", + "Train score: 0.46954786364807233\n", + "Validation score: 0.4603851781118001\n", + "\n", + "Model #2\n", + "Train score: 0.4219222881153983\n", + "Validation score: 0.4199230132032204\n" + ] + } + ], + "source": [ + "second_model = LinearRegression()\n", + "\n", + "second_model_scores = cross_validate(\n", + " estimator=second_model,\n", + " X=X_train_second_model,\n", + " y=y_train,\n", + " return_train_score=True,\n", + " cv=splitter\n", + ")\n", + "\n", + "print(\"Current Model\")\n", + "print(\"Train score: \", second_model_scores[\"train_score\"].mean())\n", + "print(\"Validation score:\", second_model_scores[\"test_score\"].mean())\n", + "print()\n", + "print(\"Model #2\")\n", + "print(\"Train score: \", baseline_scores[\"train_score\"].mean())\n", + "print(\"Validation score:\", baseline_scores[\"test_score\"].mean())" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: price R-squared: 0.467
Model: OLS Adj. R-squared: 0.467
Method: Least Squares F-statistic: 2300.
Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00
Time: 12:55:24 Log-Likelihood: -2.1596e+05
No. Observations: 15733 AIC: 4.319e+05
Df Residuals: 15726 BIC: 4.320e+05
Df Model: 6
Covariance Type: nonrobust
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
const -8.163e+05 1.36e+04 -60.204 0.000 -8.43e+05 -7.9e+05
bedrooms 1.767e+04 2405.816 7.346 0.000 1.3e+04 2.24e+04
bathrooms 3.947e+04 3733.831 10.570 0.000 3.21e+04 4.68e+04
sqft_lot 0.0655 0.043 1.516 0.130 -0.019 0.150
waterfront 7.362e+05 2.31e+04 31.905 0.000 6.91e+05 7.81e+05
floors -4.452e+04 3912.360 -11.379 0.000 -5.22e+04 -3.69e+04
grade 1.65e+05 2139.292 77.116 0.000 1.61e+05 1.69e+05
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Omnibus: 7255.448 Durbin-Watson: 1.986
Prob(Omnibus): 0.000 Jarque-Bera (JB): 70378.748
Skew: 1.977 Prob(JB): 0.00
Kurtosis: 12.577 Cond. No. 5.71e+05


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 5.71e+05. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & price & \\textbf{ R-squared: } & 0.467 \\\\\n", + "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.467 \\\\\n", + "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2300. \\\\\n", + "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 12:55:24 & \\textbf{ Log-Likelihood: } & -2.1596e+05 \\\\\n", + "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.319e+05 \\\\\n", + "\\textbf{Df Residuals:} & 15726 & \\textbf{ BIC: } & 4.320e+05 \\\\\n", + "\\textbf{Df Model:} & 6 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & -8.163e+05 & 1.36e+04 & -60.204 & 0.000 & -8.43e+05 & -7.9e+05 \\\\\n", + "\\textbf{bedrooms} & 1.767e+04 & 2405.816 & 7.346 & 0.000 & 1.3e+04 & 2.24e+04 \\\\\n", + "\\textbf{bathrooms} & 3.947e+04 & 3733.831 & 10.570 & 0.000 & 3.21e+04 & 4.68e+04 \\\\\n", + "\\textbf{sqft\\_lot} & 0.0655 & 0.043 & 1.516 & 0.130 & -0.019 & 0.150 \\\\\n", + "\\textbf{waterfront} & 7.362e+05 & 2.31e+04 & 31.905 & 0.000 & 6.91e+05 & 7.81e+05 \\\\\n", + "\\textbf{floors} & -4.452e+04 & 3912.360 & -11.379 & 0.000 & -5.22e+04 & -3.69e+04 \\\\\n", + "\\textbf{grade} & 1.65e+05 & 2139.292 & 77.116 & 0.000 & 1.61e+05 & 1.69e+05 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Omnibus:} & 7255.448 & \\textbf{ Durbin-Watson: } & 1.986 \\\\\n", + "\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 70378.748 \\\\\n", + "\\textbf{Skew:} & 1.977 & \\textbf{ Prob(JB): } & 0.00 \\\\\n", + "\\textbf{Kurtosis:} & 12.577 & \\textbf{ Cond. No. } & 5.71e+05 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{OLS Regression Results}\n", + "\\end{center}\n", + "\n", + "Notes: \\newline\n", + " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n", + " [2] The condition number is large, 5.71e+05. This might indicate that there are \\newline\n", + " strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: price R-squared: 0.467\n", + "Model: OLS Adj. R-squared: 0.467\n", + "Method: Least Squares F-statistic: 2300.\n", + "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 12:55:24 Log-Likelihood: -2.1596e+05\n", + "No. Observations: 15733 AIC: 4.319e+05\n", + "Df Residuals: 15726 BIC: 4.320e+05\n", + "Df Model: 6 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "const -8.163e+05 1.36e+04 -60.204 0.000 -8.43e+05 -7.9e+05\n", + "bedrooms 1.767e+04 2405.816 7.346 0.000 1.3e+04 2.24e+04\n", + "bathrooms 3.947e+04 3733.831 10.570 0.000 3.21e+04 4.68e+04\n", + "sqft_lot 0.0655 0.043 1.516 0.130 -0.019 0.150\n", + "waterfront 7.362e+05 2.31e+04 31.905 0.000 6.91e+05 7.81e+05\n", + "floors -4.452e+04 3912.360 -11.379 0.000 -5.22e+04 -3.69e+04\n", + "grade 1.65e+05 2139.292 77.116 0.000 1.61e+05 1.69e+05\n", + "==============================================================================\n", + "Omnibus: 7255.448 Durbin-Watson: 1.986\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 70378.748\n", + "Skew: 1.977 Prob(JB): 0.00\n", + "Kurtosis: 12.577 Cond. No. 5.71e+05\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 5.71e+05. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 136, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use StatsModels to fit and evaluate a linear regression model on the same \n", + "# features used in the second model.\n", + "sm.OLS(y_train, sm.add_constant(X_train_second_model)).fit().summary()" + ] } ], "metadata": { From 55f8509d31dc1950d9a41ea1c374478e2b0ad846 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 13:13:59 +0300 Subject: [PATCH 73/98] Update student.ipynb --- student.ipynb | 301 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 301 insertions(+) diff --git a/student.ipynb b/student.ipynb index 2ecaba0c..3ad33696 100644 --- a/student.ipynb +++ b/student.ipynb @@ -7501,6 +7501,307 @@ "# features used in the second model.\n", "sm.OLS(y_train, sm.add_constant(X_train_second_model)).fit().summary()" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Model #4: Using significant Features" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": {}, + "outputs": [], + "source": [ + "significant_features = [\"sqft_living\", \"grade\", \"bathrooms\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Current Model\n", + "Train score: 0.48532525501683654\n", + "Validation score: 0.4807175934734418\n", + "\n", + "Model #3\n", + "Train score: 0.46954786364807233\n", + "Validation score: 0.4603851781118001\n", + "\n", + "Model #2\n", + "Train score: 0.4219222881153983\n", + "Validation score: 0.4199230132032204\n" + ] + } + ], + "source": [ + "third_model = LinearRegression()\n", + "X_train_third_model = X_train[significant_features]\n", + "\n", + "third_model_scores = cross_validate(\n", + " estimator=third_model,\n", + " X=X_train_third_model,\n", + " y=y_train,\n", + " return_train_score=True,\n", + " cv=splitter\n", + ")\n", + "\n", + "print(\"Current Model\")\n", + "print(\"Train score: \", third_model_scores[\"train_score\"].mean())\n", + "print(\"Validation score:\", third_model_scores[\"test_score\"].mean())\n", + "print()\n", + "print(\"Model #3\")\n", + "print(\"Train score: \", second_model_scores[\"train_score\"].mean())\n", + "print(\"Validation score:\", second_model_scores[\"test_score\"].mean())\n", + "print()\n", + "print(\"Model #2\")\n", + "print(\"Train score: \", baseline_scores[\"train_score\"].mean())\n", + "print(\"Validation score:\", baseline_scores[\"test_score\"].mean())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Selecting Features with sklearn" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Was the column selected?\n", + "bedrooms: True\n", + "bathrooms: True\n", + "sqft_lot: False\n", + "waterfront: True\n", + "floors: True\n", + "grade: True\n" + ] + } + ], + "source": [ + "from sklearn.feature_selection import RFECV\n", + "from sklearn.preprocessing import StandardScaler\n", + "\n", + "# Importances are based on coefficient magnitude, so\n", + "# we need to scale the data to normalize the coefficients\n", + "X_train_for_RFECV = StandardScaler().fit_transform(X_train_second_model)\n", + "\n", + "model_for_RFECV = LinearRegression()\n", + "\n", + "# Instantiate and fit the selector\n", + "selector = RFECV(model_for_RFECV, cv=splitter)\n", + "selector.fit(X_train_for_RFECV, y_train)\n", + "\n", + "# Print the results\n", + "print(\"Was the column selected?\")\n", + "for index, col in enumerate(X_train_second_model.columns):\n", + " print(f\"{col}: {selector.support_[index]}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
feature1feature2train_scoreval_scoresqft_living
0grade0.4817540.476989Yes
1bathrooms0.4148310.413439Yes
2bedrooms0.4303000.423287Yes
3floors0.4156640.413992Yes
4gradebathrooms0.4853250.480718Yes
5gradebedrooms0.4883490.480580Yes
6gradefloors0.4846830.480336Yes
7bathroomsbedrooms0.4305000.423397Yes
8bathroomsfloors0.4158660.414128Yes
9bedroomsfloors0.4308010.423619Yes
\n", + "
" + ], + "text/plain": [ + " feature1 feature2 train_score val_score sqft_living\n", + "0 grade 0.481754 0.476989 Yes\n", + "1 bathrooms 0.414831 0.413439 Yes\n", + "2 bedrooms 0.430300 0.423287 Yes\n", + "3 floors 0.415664 0.413992 Yes\n", + "4 grade bathrooms 0.485325 0.480718 Yes\n", + "5 grade bedrooms 0.488349 0.480580 Yes\n", + "6 grade floors 0.484683 0.480336 Yes\n", + "7 bathrooms bedrooms 0.430500 0.423397 Yes\n", + "8 bathrooms floors 0.415866 0.414128 Yes\n", + "9 bedrooms floors 0.430801 0.423619 Yes" + ] + }, + "execution_count": 152, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from itertools import combinations\n", + "\n", + "# Initialize an empty list to store results\n", + "results = []\n", + "\n", + "# Iterate through single features\n", + "for feature in features[1:]:\n", + " # Calculate cross-validated scores\n", + " scores = cross_validate(\n", + " estimator=second_model,\n", + " X=X_train[[\"sqft_living\", feature]],\n", + " y=y_train,\n", + " return_train_score=True,\n", + " cv=splitter\n", + " )\n", + " # Append results to the list\n", + " results.append({\n", + " \"feature1\": feature,\n", + " \"feature2\": \"\",\n", + " \"train_score\": scores[\"train_score\"].mean(),\n", + " \"val_score\": scores[\"test_score\"].mean()\n", + " })\n", + "\n", + "# Iterate through combinations of features\n", + "for feature1, feature2 in combinations(features[1:], 2):\n", + " # Calculate cross-validated scores\n", + " scores = cross_validate(\n", + " estimator=second_model,\n", + " X=X_train[[\"sqft_living\", feature1, feature2]],\n", + " y=y_train,\n", + " return_train_score=True,\n", + " cv=splitter\n", + " )\n", + " # Append results to the list\n", + " results.append({\n", + " \"feature1\": feature1,\n", + " \"feature2\": feature2,\n", + " \"train_score\": scores[\"train_score\"].mean(),\n", + " \"val_score\": scores[\"test_score\"].mean()\n", + " })\n", + "\n", + "# Convert the list of dictionaries into a DataFrame\n", + "results_df = pd.DataFrame(results)\n", + "\n", + "# Fill in remaining values where appropriate\n", + "results_df[\"sqft_living\"] = \"Yes\"\n", + "results_df.fillna(\"No\", inplace=True)\n", + "\n", + "results_df\n", + "\n", + "\n" + ] } ], "metadata": { From 69c90959c4b2bb05c54d08f5652a2f396c7658f3 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 13:45:33 +0300 Subject: [PATCH 74/98] Update student.ipynb --- student.ipynb | 51 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 51 insertions(+) diff --git a/student.ipynb b/student.ipynb index 3ad33696..3792835b 100644 --- a/student.ipynb +++ b/student.ipynb @@ -7802,6 +7802,57 @@ "\n", "\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The optimal model incorporates sqft_living, grade, and bathrooms, achieving a validation score of 0.4807" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Q3: What combinations of features is the best fit for price predictions?\n", + "\n", + "Grade, sqft_living, and bathrooms constitute the optimal combination for a multiple regression model. These features exhibit high correlation with price, relatively low multicollinearity, and collectively explain more than half of the variability in price. Moreover, all assumptions of multiple regression are met when these features are included." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Model #5: Using relevant features & OneHotEncoding" + ] + }, + { + "cell_type": "code", + "execution_count": 183, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 3 entries, 0 to 2\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 0 3 non-null float64\n", + " 1 1 3 non-null float64\n", + " 2 2 3 non-null float64\n", + " 3 3 3 non-null float64\n", + " 4 4 3 non-null float64\n", + "dtypes: float64(5)\n", + "memory usage: 248.0 bytes\n" + ] + } + ], + "source": [ + "df.info()" + ] } ], "metadata": { From 864303abd67f920d722cc97c09fc522be2215cc5 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 13:53:45 +0300 Subject: [PATCH 75/98] Update student.ipynb --- student.ipynb | 624 ++++++++++++++++++++++++++------------------------ 1 file changed, 319 insertions(+), 305 deletions(-) diff --git a/student.ipynb b/student.ipynb index 3792835b..d4613b40 100644 --- a/student.ipynb +++ b/student.ipynb @@ -135,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 189, "metadata": {}, "outputs": [], "source": [ @@ -175,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 190, "metadata": {}, "outputs": [ { @@ -303,7 +303,7 @@ "4 NO Average 8 Good 1987 " ] }, - "execution_count": 2, + "execution_count": 190, "metadata": {}, "output_type": "execute_result" } @@ -327,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 191, "metadata": {}, "outputs": [ { @@ -336,7 +336,7 @@ "(21597, 11)" ] }, - "execution_count": 3, + "execution_count": 191, "metadata": {}, "output_type": "execute_result" } @@ -354,7 +354,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 192, "metadata": {}, "outputs": [ { @@ -388,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 193, "metadata": {}, "outputs": [ { @@ -537,7 +537,7 @@ "max 1.651359e+06 3.500000 2015.000000 " ] }, - "execution_count": 5, + "execution_count": 193, "metadata": {}, "output_type": "execute_result" } @@ -548,7 +548,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 194, "metadata": {}, "outputs": [ { @@ -565,7 +565,7 @@ "Name: price, dtype: float64" ] }, - "execution_count": 6, + "execution_count": 194, "metadata": {}, "output_type": "execute_result" } @@ -585,7 +585,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 195, "metadata": {}, "outputs": [ { @@ -602,7 +602,7 @@ "Name: sqft_living, dtype: float64" ] }, - "execution_count": 7, + "execution_count": 195, "metadata": {}, "output_type": "execute_result" } @@ -621,7 +621,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 196, "metadata": {}, "outputs": [ { @@ -643,7 +643,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 8, + "execution_count": 196, "metadata": {}, "output_type": "execute_result" } @@ -661,7 +661,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 197, "metadata": {}, "outputs": [ { @@ -700,7 +700,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 9, + "execution_count": 197, "metadata": {}, "output_type": "execute_result" } @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 198, "metadata": {}, "outputs": [ { @@ -727,7 +727,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 10, + "execution_count": 198, "metadata": {}, "output_type": "execute_result" } @@ -738,7 +738,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 199, "metadata": {}, "outputs": [ { @@ -759,7 +759,7 @@ "Name: count, Length: 9776, dtype: int64" ] }, - "execution_count": 11, + "execution_count": 199, "metadata": {}, "output_type": "execute_result" } @@ -770,7 +770,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 200, "metadata": {}, "outputs": [ { @@ -787,7 +787,7 @@ "Name: sqft_lot, dtype: float64" ] }, - "execution_count": 12, + "execution_count": 200, "metadata": {}, "output_type": "execute_result" } @@ -798,7 +798,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 201, "metadata": {}, "outputs": [ { @@ -819,7 +819,7 @@ "Name: count, Length: 116, dtype: int64" ] }, - "execution_count": 13, + "execution_count": 201, "metadata": {}, "output_type": "execute_result" } @@ -838,7 +838,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 202, "metadata": {}, "outputs": [ { @@ -853,7 +853,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 14, + "execution_count": 202, "metadata": {}, "output_type": "execute_result" } @@ -864,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 203, "metadata": {}, "outputs": [ { @@ -876,7 +876,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 15, + "execution_count": 203, "metadata": {}, "output_type": "execute_result" } @@ -887,12 +887,12 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 204, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAigAAAIkCAYAAAA0z9D+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAChjklEQVR4nOzdeZxcZZ0v/s9ztlq7ekvvnXRnIySEJCCEhCVBECOLDiKgXkQc8Keoo8PMHZc7w8g43rkuo86IIPdeFQyOFwUBBUIIe1iSELZAAiF7p9Ppvau7az11tuf3x6mqVHdV79Vd2/f9emmK7lNVT1efrvOt5/k+3y/jnHMQQgghhOQRIdcDIIQQQggZjQIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5R8r1AApRX18w49cFgaGqygO/PwzLyp8Cvb1DURzuGEZHXwjDIQ2abkIUGcrcCuaVO9FSX4aWujK4HHQ6ZEu+ngtkbtF5ULhqaspyPYSSR1ekLBIEBsYYBIHl/M1IN0y8/G4XXnqnE+09oQmPFwWG5a2V+NBpNTjrtBr43MocjLJ45dO5QHKHzgNCpo8ClCL0xoFe/PG5wxgIqAAAgQE1FS6Uex3weWQAgBozwRgwFNLgD6gIqwb2HfVj31E/7t92AMvmV+Dc02tx9rJalHsoWCGEEDK3KEApIjHdxO+2HcCOfd0AAJdDwqrFVWiq8aLco0DVTDgVEapmIhzVUV3uTH6tdzCK7oEI2nqCGBhW8UH7ED5oH8J/PXPQDlaW1+Hc02vhdck5/ikJIYSUAgpQisRwOIZ//e0bGAzGwACsWlKN0+ZXwOuSoWrmhPf3eRTUVrpw2oIK6IaJ490hHO8JoncwmgxW/t8zB3HBqgZcds58NM3zzP4PRQghpGRRgFIETvaF8B8PvYPBYAwuh4gLzmzA/FrvpAKTTMrcCpY0l2Ploir0D6voGgjjyMkABoMxvLSnEy/t6cSZi6pxxboFOG1+BRhjWf6JCCGElDoKUArcgfZB/OLhvYjEDJS5ZWxaOx+yJGbt8b0uGWcuqsaSpnIEwhreOzaI4z1B7D06gL1HB7CkuRxXrW/BmYuqKVAhhBCSNRSgFLD32vy480/vQjcsLGkux5mLqlDmVqY9czIexhjqqtwo9zpwzuk12HdsEIc6hnC4Yxj/+dC7WFDnxVXrW3H2aTUQBApUCCGEzAwFKAVqf0pwMr/Wiw+f3YRQRJ+T5/Z5FJx92jysWVKF944N4oP2IbT3hPDLP+9DXZULm9YuwAUr67M6k0MIIaS0UCXZAnTwxBB+Hg9OWurLsH5lPQzDmvNxuJ0yzlxcjes+vBgrF1ZBkQT0+KO4/6kD+NY9O/HkruOIqMacj4sQQkjhoxmUAnPk5DB+8oe3YZgcDdVubFzdAN3MbQEopyLizMXVWLN0Hg51DOPdIwMYDmv404tHsGVnGy5e04TLzp2PCq8jp+MkhBBSOChAKSCJ3TqGydE4z40Lz2yAKArQzeznnEyHLAlY1OhDTbkTQ2EN+476MRSKYetr7XjmjRM4f2UDLj9vAeqq3LkeKiGEkDxHAUqB8AdU/OzBdxBRDVSXO3Hph5ph5HjmZCyCwLC0uRzNNR70DUWx96gfvYNRvPROJ15+pxMfOr0Wm86dj0WNPtr5QwghJCMKUApAWNXxHw/adU4aqt1Yd0YdJFGAkSczJ2NhjGFBXRlqK90YDsWw96gfJ3pDeOODXrzxQS9qKpw4b0Ud1p9Rj6YaL/UqIYQQkkQBSp6L6Sbu/NO7ONkfhtsh4dJzmmHm6czJeBJblKMxA+8c7seJ3hD6hlQ8seM4nthxHGVuGetW1OHMxdVYNr+CdgARQkiJowAljxmmhXv+vA+HOobhdkjYsKYBsijAzPOZk/FUljmw7ox6XLiK4URvGMe6AjjRE0QwouOZNzrwzBsdUGQBZ7RW4cxF1Vi1uBpVPmeuh00IIWSOUYCSx379xH68e2QAosDw0fPmw6UUz69LEgU0VLuxsKEMwYgOf0BFR18YJ/tCCKsG3j7Uj7cP9QMAmms8OHNxNVYtqsbipnJIIu2OJ4SQYlc8V7wiwhjwg/96CwdPDEFgwLmn16LS65iVCrH5QJYEtNSXoa7KjfNX1qFrIIK+oSg6esPoHYqioy+Mjr4wtu5qh8sh4ozWKpw2vwJLmyswv9ZLlWsJIaQIUYCSZ0zLwu+2HcTBE0NgANavrEd1CS1xMMZQ5XOicZ4HyxZUAuDo7I+irXsYPf4oojETbxzowxsH+gDYNViWNJdjaVM5WurL0FzjRWWZg3YHEUJIgaMAJY8EIxp+/cR+7D06AAbgglX1mF9bhnB0bkrY5yOnIqFxnhvlHhmVZznQ2R9B/3AUvYP2/1TNxL6jfuw76k/ex+WQ0FjtxrwKF+aVO+P/s29X+ZyQJVoiIoSQfEcBSh4wLQuv7+/FH547hEBEhyIJOG9FHZY0lxftss50CIxhXrkTzTUeqJoJRbZL6w8GY+gdimIoGMNQKIZozMCRzgCOdAbSHoMBKPMoKPco8HkU+NwKytxy/H8K3E4JbocEj1OGxynB7ZThcog0I0MIIXOMApQcsCyO/uEougYiONA+hDcO9KJ/WAUAVHgd+Mi5zZApEXRCAmOoLHOgodqNRZoPTkVEWNUR00wEIgZUzcBQMIawqiMQ1hGKajBMjkBYQyCsTel5PC4JXpd86n9uGR6nDJdDgkMW4ZCF+L8iZFmAJAooL48gHIrBsjgEgUFgDIzh1L8CA2MMDHbeEYt/3f5vdurf+PfssdgHjziOAQyJ40bdTt7PvkPiPoQQku8Y57zwimrkmGmO3ZhPFIVxv88BDAXVtCqwjAGKLEIWBQgCA+f21zgHLM4hjvraTP+djcfM+/HCfpzE41mW/UXOAR7/OuccHKe+VkrY2Dcy/FemL0zisUsQY6zkzqVccygiPE55Ro8h0ofEnKMAhRBCCCF5h0JEQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAZZb88z//M5YtW4b/+I//mLPnPHToEL7//e/j8ssvx1lnnYXVq1fjiiuuwA9+8AN0dXXN2TgIIYTMvWK77khZGiNJ8cwzz+DBBx+c0+f85S9/ibvvvhuGYYz4+pEjR3DkyBH86U9/ws9+9jNs3LhxTsdFCCFk9hXjdYcClCzbvn07/u7v/m5On/Ouu+7CL37xCwBAZWUlbr75Zpx11lkwDANPPfUUHnzwQYRCIXzjG9/AI488gsWLF8/p+AghhMyeYr3uUICSRb/97W/xk5/8BLquz9lz7t+/H/fccw8AoKmpCZs3b8b8+fOT31+/fj1WrFiB7373u1BVFT//+c9x5513ztn4CCGEzJ5ivu5QDkoWtLW14dZbb8UPfvAD6LoOURTn7LnvvPNOGIYBxhj+8z//c8RJkvDpT38ap512GgDg+eefh6qqczY+Qggh2VcK1x2aQZmh3//+98kTBACWLFmCL3zhC7j99ttn/bkHBwfx8ssvAwA2bdqEVatWjXnsLbfcgjfffBOVlZWIRCJwOp2zPj5CCCHZVyrXHQpQZmjv3r3QdR2KouCv//qv8bWvfQ179uyZ0mNomoaHHnoIzzzzDA4ePIhAIICysjIsXboUl112Ga677rqMv9gdO3YkT9Crrrpq3Oe4+uqrcfXVV09pXIQQQvJPqVx3KECZIYfDgeuuuw5f+cpX0NTUNOX7f/DBB/ja176Gjo6OEV/3+/147bXX8Nprr+G+++7DnXfeiZUrV6bdNyE1irUsC319fQiHw6irq4PH45nyuAghhOSnUrnuUIAyQ3fccQcEYXqpPEePHsUNN9yAUCgEWZZx7bXX4uKLL0ZVVRX8fj+ef/55PPLIIzh58iRuuukmPPjggyMyoQ8dOgQAkGUZtbW16O/vxy9+8Qts3boVw8PDAABRFHHuuefi61//Os4555yZ/8CEEEJyqlSuOxSgzNB0TxIA+OY3v4lQKISysjLce++9aWt5F198Ma6++mrcdNNNCIVCuP322/HAAw8kvz80NAQA8Hq92LNnD2699dbk1xJM08SuXbvw2muv4Vvf+hZuvvnmaY+XEEJI7pXKdYd28eTIzp07sW/fPgDAV7/61TETjc4++2zcdNNNAIC33noL7777bvJ74XAYABCLxXDrrbdieHgYN954I7Zs2YK9e/di+/bt+M53vgO32w3OOX70ox/hySefnOWfjBBCSD4qtOsOBSg58sILLyRvX3DBBeMem1qFb9euXcnb0WgUABCJRDA0NITvf//7uP3227FkyRIoioL6+nr89V//Ne677z7IsgwA+OEPf4hYLJbNH4UQQkgBKLTrDi3x5Mj777+fvP2JT3xi0vdrb29P3k7NsF6/fj2uu+66jPdZs2YNrr32WjzwwAPo6enBjh078OEPf3gaoyaEEFKoCu26QzMoOTI4ODit+yWSkAB7DTDhox/96Lj3u+SSS5K3p7odjRBCSOErtOsOzaDkSKK5kqIoU2rwlHpy1NTUJG/X19ePe7/Gxsbk7emepIQQQgpXoV13KEDJkYqKCgB2sZy6ujpUVVVN+TGWLVuGp59+GsDICDcTTdOSt30+35SfixBCSGErtOsOLfHkSKJHATAyASmTI0eO4J577sFjjz2Gtra25NfXrFmTvP3mm2+O+xiJvesA0NzcPLXBEkIIKXiFdt2hACVHLrroouTt+++/H5zzMY+966678J//+Z/45je/OWIdb/369cnptq1bt6K/v3/Mx3j00UcB2AV0UtcFCSGElIZCu+5QgJIjl156KVpbWwEAb7/9Nn7yk59kPO6xxx7D1q1bAQC1tbW4/PLLk98TRRG33HILACAUCuEf/uEfknvUU23evBk7d+4EAFx22WWora3N5o9CCCGkABTadaeoclCi0Sj++Mc/4plnnsGhQ4cQiUTg8/mwYsUK/NVf/RWuuOKKOW1JPR5RFPHv//7vuOGGG6BpGn7961/jnXfewfXXX4+Wlhb09/fj2WefxV/+8hdwzsEYw/e//304HI4Rj3PTTTfhxRdfxK5du7Bz50588pOfxE033YTly5cjGAzisccewxNPPAEAqKqqwne/+91c/LiEEEJyrNCuO4yPN8dTQNra2nDrrbfi2LFjYx6zdu1a3HXXXSgvL5/Vsbz22mv4/Oc/DwC49dZb8Xd/93djHvvGG2/gtttuQ19f35jHuN1u/Ou//is+/vGPZ/y+qqr49re/jaeeemrMx2htbcXdd9+NJUuWTPKnIIQQUiiK8bpTFDMokUgEX/ziF3HixAkAwLnnnovPfOYzaGhoQFtbG+69914cPnwYu3fvxt/8zd/g/vvvB2Msx6O2nXPOOXj66afx0EMP4fnnn8fhw4cxPDwMRVHQ0tKCCy+8EP/tv/03NDQ0jPkYTqcTP//5z7Fjxw48/PDDeOutt9Df34+ysjK0tLTgqquuwtVXX01djQkhhBTMdacoZlD+7//9v/jpT38KwK6O9+Mf/3hEAKJpGr785S9jx44dAICf//zn+NjHPpaTsRJCCCFkYkWRJLt9+/bk7e985ztpsyOKouBb3/pW8r+fe+65ORsbIYQQQqauKAKUxDYnn8+H6urqjMcsXLgweXu8dTdCCCGE5F5RBCiJ7UuBQGDM4OPo0aPJ2xOV5yWEEEJIbhVFkuyll16K3bt3AwB++tOf4oc//OGI75umOWK/9xVXXDGj5zNNC35/+r5vQWCoqvLA7w/Dsgo+tYfMAJ0LBKDzoJDV1JTleggjjHXdKQTTfS2LIkD57Gc/i+eeew67d+/Go48+iq6uLlx//fVoaGjAiRMnsHnzZrz33nsAgM985jPYsGHDrIxDEBgYYxAERm9GJY7OBQLQeUDITBTFLh7A3pP9m9/8Bvfddx+CwWDa92tqavCtb30Ln/jEJ2b8XGNFspIkoLLSg8HBMAzDmvHzkMJF5wIB6DwoZDSDkj0lPYMCAIcPH8b+/fsRiUQyfr+/vx9bt27FGWecgcWLF8/4+SQpPX1HFIUR/5LSRecCAeg8INmV6bpTzIpiBuXFF1/E3/7t30JVVVRVVeEb3/gGLr30UlRUVKCzsxOPPfYYfvWrX0HTNFRUVOA3v/kNVq5cOe3nS5QAJoQQQuZCKV53Cj5A6e3txaZNmxCJRFBZWYkHH3wQCxYsSDvutddewy233AJd19HY2Iinnnoqrb/AZJmmhUAgmvZ1URTg87kQCERhmjSdW8roXCAAnQeFrLIyvypvj3XdKQTTfS0Lfonnz3/+c3JZ5xvf+EbG4AQAzjvvPNxwww347W9/i87OTjz33HMz2s0z3nqyaVq03kwA0LlAbHQekGwotXOo4Be03n333eTtSy+9dNxjL7vssuTtPXv2zNaQCCGEEDJDBR+gpCbFlpWNnymcWmU2004fQgghhOSHgg9QKisrk7fb29vHPbanpyd5e6yS+IQQQgjJvYIPUNauXZu8/Ze//GXcYx9//PHk7XPPPXfWxkQIIYSQmSn4AOXKK69EVVUVAGDz5s144YUXMh73+OOP4+GHHwYALFq0CBdccMGcjZEQQgghU1Pwu3i8Xi/+7d/+DV/72tdgmia+8pWv4Morr8Tll1+O2tpa9Pb2YuvWrdiyZQs453A6nfjhD38ISSr4H50QQuacxTnae4IIRXR43TIW1JVBKLH6HGRuFHwdlIRnnnkG3/nOdxAKhcY8pqamBv/xH/8x4+UdKnVPJkLnAgGK7zzY3+bHll3H0e2PwDQ5RJGhvsqNK9e1YHlrVa6Hl1VU6j57Sr7U/WWXXYYPfehDeOCBB/DSSy/h2LFjCIfDKCsrw9KlS3HJJZfg+uuvh8eTX8V3CCGkEOxv82PztgNQNQMepwzJJcAwLHT0hbF52wHctGlZ0QUpJLeKJkABgKqqKnzta1/D1772tVwPhRBCiobFObbsOg5VM1DhdSRLriuyCFkSMBTSsGXXcSxrqaTlnllSHGsdU1PwSbKEEEJmV3tPEN3+CDxOOa0fDGMMHqeEbn8E7T1UX2q2+AMqVM3I9TDmFAUohBBCxhWK6DBNPmY3XUkSYJocoYg+xyMrHRbn6B9Wcz2MOUUBCiGEkHF53TJEkY2Z6GsYFkSRweuW53hkpJhRgEIIIWRcC+rKUF/lRlg1MHrjJ+ccYdVAfZUbC+rya+cLKWwUoBBCCBmXwBiuXNcCpyJiKKRB001YnEPTTQyFNDgVEVeua6EEWZJVFKAQQgiZ0PLWKty0aRmaazyI6SYCIQ0x3URzjYe2GJNZUVTbjAkhhMye5a1VWNZSSZVkyZygAIUQQsikCYyhtd6X62GQEkBLPIQQQgjJOxSgEEIIISTvUIBCCCGEkLxDAQohhBBC8g4FKIQQQgjJOxSgEEIIISTvUIBCCCGEkLxDAQohhBBC8g4FKIQQQgjJOxSgEEIIISTvUIBCCCGEkLxDAQohhBBC8g4FKIQQQgjJOxSgEEIIISTvUIBCCCGEkLxDAQohhBBC8o6U6wEQQkgxsyyOY10BDAdj8LplLKgrg8BYrodFSN6jAIUQQmbJ+8f8eOr1d3CiOwDD5BBFhvoqN65c14LlrVW5Hh4heY2WeAghZBbsb/Pjvif3o60zAIciwudV4JBFdPSFsXnbAexv8+d6iITkNQpQCCEkyyzOsWXXcaiaiepyBxRZhMAYFFlEhVeBqpnYsus4LM5zPVRC8hYFKIQQkmXtPUF0+yPwuCSwUfkmjDF4nBK6/RG09wRzNEJC8h8FKIQQkmWhiA7T5JCkzG+xkiTANDlCEX2OR0ZI4aAAhRBCsszrliGKDIZhZfy+YVgQRQavW57jkRFSOChAIYSQLLI4h8UBr0tGIKTBskYGKZxzhFUD9VVuLKgry9EoCcl/tM2YEEKyZH+bH1t2HUe3P4KYZiIaM9HeE0K5R4HbJcMwLIRVA05FxJXrWqgeCiHjoACFEEKyYH+bH5u3HYCqGfA4ZXhcMiJRA8PhGAaDMaiaCYciornGQ3VQCJkEClAIIWSGTm0rNlDhdSR37pR5ZJSXKejxR1Dtc+Kmjy1DS72PZk4ImQTKQSGEkBlKbit2ymnbigXGUO5REIrqYIxRcELIJFGAQgghM0TbignJPgpQCCFkhmhbMZkLpTb3RgEKIYTM0IK6MtRXuRFWDfBR5es55whHaVsxIVNFAQohhMyQwBiuXNcCpyJiKKRB001YnEPTTQwEYrStmJBpoACFEEKyYHlrFW7atAzNNR7EdBOBkIaYZqK1wYe/vmI5bSsmZIpomzEhhGTJ8tYqLGupRHtPEKGIjvIyB9acXo/h4ciY+SmEkMwoQCGEkCwSGENrvQ+AvXtHEGhZh5DpoCUeQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdClAIIYQQkncoQCGEEEJI3qEAhRBCCCF5hwIUQgghhOQdKdcDyLZDhw7hD3/4A3bs2IHu7m5YloWmpiZcdNFF+MIXvoCGhoZcD5EQQgghEyiqAOWXv/wl7r77bhiGMeLrR44cwZEjR/CnP/0JP/vZz7Bx48YcjZAQQgghk1E0Acpdd92FX/ziFwCAyspK3HzzzTjrrLNgGAaeeuopPPjggwiFQvjGN76BRx55BIsXL87xiAkhhBAylqIIUPbv34977rkHANDU1ITNmzdj/vz5ye+vX78eK1aswHe/+12oqoqf//znuPPOO3M1XEIIIYRMoCiSZO+8804YhgHGGP7zP/9zRHCS8OlPfxqnnXYaAOD555+HqqpzPUxCCCGETFLBz6AMDg7i5ZdfBgBs2rQJq1atGvPYW265BW+++SYqKysRiUTgdDrnapiEEEIImYKCD1B27NgBXdcBAFddddW4x1599dW4+uqr52BUhBBCCJmJgg9QPvjgg+Tt1NkTy7LQ19eHcDiMuro6eDyeXAyPEEIIIdNQ8AHKoUOHAACyLKO2thb9/f34xS9+ga1bt2J4eBgAIIoizj33XHz961/HOeeck8vhEkIIIWQSCj5JdmhoCADg9XqxZ88eXHnllfjDH/6QDE4AwDRN7Nq1C5/73Odw77335mikhBBCCJmsgp9BCYfDAIBYLIZbb70Vw8PDuPHGG/GZz3wGCxYsgN/vx9atW3HnnXciEongRz/6Eerr63HFFVfM6HklKT22E0VhxL+kdNG5QAA6D0h2iZKQ8dpTrBjnnOd6EDPxkY98BCdOnEj+9//8n/8T1113Xdpxe/bswec+9znouo66ujo888wzcDgc03pOzjkYY9MeMyGEEDIV3QNhxHQTLfW+XA9lzhT8DErqVuH169dnDE4AYM2aNbj22mvxwAMPoKenBzt27MCHP/zhaT2nZXEEApG0r4uiAJ/PhUAgCtO0pvXYpDjQuUAAOg8KWWVl/m2sCASiGHSIuR7GlE33tSz4AMXr9SZvf/SjHx332EsuuQQPPPAAAHtGZboBCgAYxthvNqZpjft9UjroXCAAnQckO0yjtM6jgl/MqqmpSd6ur68f99jGxsbk7cHBwVkbEyGEEEJmpuADlGXLliVvp+7cyUTTtORtn6901vEIIYSQQlPwAcqaNWuSt998881xj03UTAGA5ubm2RoSIYQQQmao4AOU9evXJ5d5tm7div7+/jGPffTRRwHYhdsuueSSORkfIYQQQqau4AMUURRxyy23AABCoRD+4R/+IVkbJdXmzZuxc+dOAMBll12G2traOR0nIYQQQiav4HfxAMBNN92EF198Ebt27cLOnTvxyU9+EjfddBOWL1+OYDCIxx57DE888QQAoKqqCt/97ndzPGJCCCGEjKfgC7UlqKqKb3/723jqqafGPKa1tRV33303lixZMqPnMk0Lfn/6LI0kCais9GBwMFxSW8FIOjoXCEDnQSGrqSnL9RBG6B4Io7sngKYa78QH55npvpZFMYMC2AXbfv7zn2PHjh14+OGH8dZbb6G/vx9lZWVoaWnBVVddhauvvpq6GhNCCCEFoGgClITzzz8f559/fq6HQQghhJAZKPgkWUIIIYQUn6KbQSGEkOmwOEd7TxChiA6vW8aCujII1BSUkJyhAIUQUvL2t/mxZddxdPsjME0OUWSor3LjynUtWN5alevhEVKSaImHEFLS9rf5sXnbAXT0heCQRfi8ChyyiI6+MDZvO4D9bf5cD5GQkkQBCiGkZFmcY8uu41A1AxVeBxRZhMAYFFlEhVeBqpnYsus4rOKoxkBIQaEAhRBSstp7guj2R+BxymCj8k0YY/A4JXT7I2jvCeZohISULgpQCCElKxTRYZockpT5rVCSBJgmRyiiz/HICCEUoBBCSpbXLUMU2ZhVXg3DgigyeN3yHI+MEEIBCiGkZC2oK0N9lRth1cDorh+cc4RVA/VVbiyoy6+y54SUAgpQCCElS2AMV65rgVMRMRTSoOkmLM6h6SaGQhqciogr17VQPRRCcoACFEJISVveWoWbNi1Dc40HMd1EIKQhpptorvHgpk3LqA4KITlChdoIIXkhl5Vcl7dWYVlLJVWSJSSPUIBCCMm5fKjkKjCG1nrfnDwXIWRitMRDCMkKi3O0dQew7+gA2roDky5uRpVcCSGZ0AwKIWTGpjsDMrqSa6JYmiKLkCUBQyENW3Ydx7KWSlpuIaTE0AwKIWRGZjIDQpVcCSFjoQCFEDJtM+1lQ5VcCSFjoQCFEDJtM50BoUquhJCxUIBCCJm2mc6AUCVXQshYKEAhhEzbTGdAqJIrIWQsFKAQQqYtGzMgVMmVEJIJbTMmhExbYgZk87YDGApp8DglSJIAw7AQVo1Jz4Asb63C0gUV2P1+D/wBFVU+J9auqIMk0GcoQkoVBSiEkBlJzIAk6qBEVAOiyNBc45l0JdhMdVR27Oue00qyhJD8QgEKIWTGZtLLJlFHRdUMeJwyJJc9A5Ooo0LLPISUJgpQCCFZMZ1eNlRJlhAyFlrgJYTkDFWSJYSMhQIUQkjOUCVZQshYKEAhhOQMVZIlhIyFAhRCSM5QJVlCyFgoQCGE5AxVkiWEjIUCFEJITlElWUJIJrTNmBCSczOpo0IIKU4UoBBC8sJ06qgQQooXLfEQQgghJO9QgEIIIYSQvEMBCiGEEELyDgUohBBCCMk7FKAQQgghJO9QgEIIIYSQvEMBCiGEEELyDtVBIYSQKbI4p6JyhMwyClAIIWQK9rf5sWXXcXT7IzBNDlFkqK9y48p1LVSWn5AsoiUeQgiZpP1tfmzedgAdfSE4ZBE+rwKHLKKjL4zN2w5gf5s/10MkpGhQgEIIIZNgcY4tu45D1QxUeB1QZBECY1BkERVeBapmYsuu47A4z/VQCSkKFKAQQsgktPcE0e2PwOOUwUblmzDG4HFK6PZH0N4TzNEICSkuFKAQQsgkhCI6TJNDkjK/bUqSANPkCEX0OR4ZIcWJAhRCCJkEr1uGKDIYhpXx+4ZhQRQZvG55jkdGSHGiAIUQQiZhQV0Z6qvcCKsG+Kg8E845wqqB+io3FtSV5WiEhBQXClAIKQEW52jrDmDf0QG0dQeSiZxjfZ2kExjDleta4FREDIU0aLoJi3NouomhkAanIuLKdS1UD4WQLJmVOiihUAjPPfcc3nzzTXR2diIQCOCGG27AX/3VXwEA7rnnHpxxxhnYsGHDbDw9ISTFWHU7Vi6swr5jfqrnMQXLW6tw06ZlydczohoQRYbmGg+9boRkWVYDFM45fvnLX+K+++5DOBxOfo0xBr//VH2A3//+9xgYGMDq1avx7//+75g/f342h0EIiUvU7VA1Ax6nDMklwDAsHO8K4kD7EByKgHKPI/n1RD2PmzYto4vtGJa3VmFZSyVVkiVklmUtQNE0DV/5ylewY8cOAEhbo01QVRX9/f1gjGHPnj247rrr8Pvf/x6LFy/O1lAIIUiv25HYGqvIIgzLgmlxmBYgSwJYvJ6HLAkYCmnYsus4lrVU0kV3DAJjaK335XoYhBS1rOWg/Mu//AteffVVcM6hKAquu+46/OAHP8h47I033giHw37DHBoawm233QbDMLI1FEIIxq7boekmDJNDEuwdKVrKrhSq50EIyRdZCVDeffddPPLII2CMYenSpdiyZQu+//3v45Of/GTasU6nE//0T/+Exx9/PDlrcvjwYTzxxBPZGAohJG6suh2WFZ/dZABP/e84qudBCMkHWQlQHn74YQCAJEm466670NzcPOF95s+fj7vuuguSZK8yPfXUU9kYCiEkbqy6HYIQn03hAEv97ziq50EIyQdZCVBee+01MMawYcMGtLS0TPp+ra2tuOSSS8A5x/79+7MxFEJI3Fh1OxRZhCQyGJY9u6KkzLBQPQ9CSL7ISoDS29sLAFi+fPmU77tkyRIAwODgYDaGQgiJG69uhyQIEAUGUWDQDYvqeRBC8k5WApTEpzNRFKd9X1mm6WRCsi1Rt6O5xoOYbiIQ0hDTTbQ0lOFTGxehtb5sxNebazy0xZgQkheyss143rx56OjowOHDh6d83z179iQfgxCSfePV7fjo2gVUz4MQkpeyEqCcc845OHHiBJ5//nn4/X5UVU3u09fbb7+NXbt2gTGGs846KxtDIYRkMFbdDqrnQQjJV1lZ4vn4xz8OwC7C9q1vfQuapk14nwMHDuAb3/hGconn8ssvz8ZQCCE5Rv19CJkdpfaXlJUZlPPPPx8XXHABXn31Vbz66qu49tpr8cUvfhFnnHHGiON0XcfevXvxxBNP4OGHH0YsFkvOnmzcuDEbQyGE5NBYfX+oTw0hWVBiEQrjY9Wkn6Lh4WF8+tOfRltb24iqlYlePE6nE7FYLDljkvi3trYWDz30EOrq6rIxjDlhmhb8/nDa1yVJQGWlB4OD4bTaE6S0lOK5kNb3R7L7+4RVA05FLMnk21I8D4pFTU1+bbPvHgijqzuA5lpvrocyZdN9LbNW6r68vBwPPvggPvKRj4BznvxfIlhRVRWWZSW/DgBnnXUWHnzwwVkNTgKBAC666CIsW7YM//AP/zBrz0NIKRvd90eRRQjx/j4VXgWqZmLLruO03EPIDJTaX09Wuxn7fD7cdddd2Lt3Lx566CHs3r0bx48fH1EkqqamBueeey6uvvpqbNiwIZtPn9H3v//9ZJ0WQsjsGKvvD5De34eScgkhk5HVACXhzDPPxJlnngkAME0Tw8PDME0T5eXlUBRlNp4yo2effRaPPfbYnD0fIaUq2ffHlXlSVpIERFSD+vsQMgNZysgoGLMSoKQSRXHEtuP+/n6YpjnrOSd+vx933HHHrD4HIcSW2vdHkdMLNlJ/H0LIVGUtByXhiSeewI033ogf//jHGb//+OOP4+KLL8Z1112Hp59+OttPn/S9730P/f39k67JQgiZvrH6/gDU34cQMj1ZC1AikQhuueUWfPOb38Qbb7wxZlXZ9vZ2cM6xb98+/O3f/i2++c1vwjTNbA0DAPDkk0/iqaeegiAIuP3227P62ISQdOP1/aH+PoRkR4mt8GQvQPn7v/97vPrqq8ldOv39/RmPmz9/PlpaWpLHPfHEE/je976XrWGgv78f//qv/woA+MIXvoDVq1dn7bEJKWUTFWAbq+8P9fchhExHVnJQXnzxRbz44otgjMHlcuH222/HVVddlfHYm2++GTfffDNeeeUV/I//8T/Q19eHhx56CNdccw3WrFkz47HccccdGBwcxMKFC3Hbbbehr69vxo9JSKmbbAG28fr+EELIVGRlBuWRRx4BYG8nvO+++3DNNddMuFvnwgsvxK9//WtIkh0j/fGPf5zxOP785z/j2WefhSAI+MEPfgCHwzHjxySk1CUKsHX0heCQRfi8ChyyiI6+MDZvO4D9bf4Rxyf6+6xcVI3Weh8FJ4SQaclKgLJ3714wxnDJJZdMaUll2bJluOSSS8A5x+uvvz6jMfT09ODf/u3fANhLO9R8kJCZowJshOQPXmKl2rKyxJPINzn99NOnfN/ly5fj6aefnvFSzO23345AIIDW1lb87d/+7YweazIkKT22E0VhxL+kdBXLuXCsK4AefwRelwxBSC/A5nVJ6PFHcLI/jIUNVIBttGI5D0h+EEUh47WnWGUlQBFFEYZhQNenXoTJMAx7INL0h/LQQw/hpZdeSi7tOJ3OaT/WZAgCQ2WlZ8zv+3yuWX1+UjgK/Vw41hOGxQGnIqUFKIC9nBONmYAgjvs3UeoK/Twg+aGszFlSf2dZCVCam5tx5MgR7N69e8r33bNnDwBMu3BbZ2cnfvjDHwIAbrrpJpx99tnTepypsCyOQCCS9nVRFODzuRAIRGGa1BislBXNuWCZEBigakbGAmyabn8flonBwfQGmqWuaM6DEpSPgUAgEMXg4NxVY8+W6b6WWQlQzjvvPBw+fBh79uzB9u3bsXHjxknd76233sKOHTvAGMPatWun/Lycc/zTP/0TQqEQWltbcdttt035MaZrvM6kpmlR51ICIDvngsV5znbFNM3zoK7KjY6+MCpEIa1TeShqoLnGg6Z5Hjrnx0HvCSQbTJOX1HmUlQDl2muvxe9//3sAdj2UH/3oR/jIRz4y7n127tyJ//7f/zs45xAEAdddd92Un/ePf/wjduzYAQD4/Oc/j2PHjqUdk9ooMBAIYP/+/QCAefPmoaamZsrPSchcmuz23tmSKMC2edsBDIU0eJwSJEmAYVgIqwYVYCNkDpVaLjrjWeo+9I//+I945JFHkp+wTjvtNFx88cVYunQpfD47eS4YDOLo0aN4+eWXsXfvXnDOwRjDddddlyyuNhXf+c538Oijj05rvH/zN3+Dr3/969O6r2la8PvTp7MlSUBlpQeDg+GSinJJuqmeC5lmSQ4cH8TmbQegagY8TjktMJjL4mfvHxvAwy8dRd+wClgcsiygodozZ4FSoaL3hMJVU5NfbRm6B8I43jGERY2Fl4w+3dcya80C77jjDnR3dydnNA4ePIiDBw+OeXwiLtq4cSO++93vZmsYhBScsWZJwlE9ub03EfgrsghZEjAU0rBl13Esa6mc9dmL/W1+PPlaO4ZDWnzGk6GyzIHLKTgheYgx2Jtxi3C2odS2GWdtBgUALMvCfffdh3vvvRcDAwPjHjtv3jx88YtfxBe+8IVsPX1GHR0duPTSSwEAH//4x/GTn/xkxo9JMyhkIpM9FxJF0EbPkgTCGqIxAxVlDpS505PiNN1ETDfxN9ecidb62ftENdb4cjGLU4joPWEOMSCmm4jETHgcIhQpPal7KvJxBqWtYxCLG8tzPZQpy/kMCgAIgoBbbrkFN998M95++228+uqr6O7uxsDAAAzDgM/nw/z583H22Wdj/fr1E1abJaSYjS6CljpL4nFKiKgGwqoBr0sekZwK2Be+iGogFJn61v5sjG+uZ3EIGRMDVM1EVNWhGxwcHB7HzIKTvFVaEyjZDVASGGM4++yz52TLLyGFqr0niG5/BB7nqQBE001YFofF7alq3bCgGRYco7b4GoYFUWTwuuU5HV8CYwwep4RufwTtPcFZncUhZCyqZiASM6AbVjKBtJhj5RKLT2YnQCGETCwU0WGaHJJLgBozMBzWoKcsA3Bu52qZpgWkBCicc4RVe3vvgrrZm4ZOHV8mczGLQ0gqxuzzP6qZiMQMGCmBSUwz8foHvXjrYB98Hhlf++SZGZdHSeGgAIWQLLM4x7GuAI71hAHLRNM8T8YlEK9bhigyhKP6iARUFs/ys+Kfl4IRHVK8xPVcbu9NjM8wrIxF2uZiFocQ4FRgElHjgYl5KjAJRXXsfK8bu97rtqsaA+j2A28e6MPFZzXlcNSzoMSmUKYUoHz+858HYE/vbt68Oe3rMzH6MbOlubkZBw4cyPrjEgKkbw8Oqwa27jqOHn8EFgcEBtSNUbdkQV0ZylwyjveETj2eyQFwCMx+U2ZAspKrpQKiyNBcMzfbexfUlaE+XqRNltKLtM3FLA4pbYzZf2ORqIFozIRhnQpM/AEVr7zbhTcP9EEfVaXX5RCxdH7F3A+YZNWUApTdu3enrUWP9/XJStRDIaSQjN4ebHEOVTMhiwIqyhQ4FQmqZqCjL4zN2w6k7Xg5cHwQA4FYxsdOBDcVZQ6AA9dsXASfW5nTSrJUpI3kih2YAOGojmjMhGlaycmDroEwtu/pxL6jA7BGzSgosoDzltfhivUtqKt0z/m4Z1upbTOe8hLPWMFEFncrE5L3Rm+/FZ0MvYNR6IYFy7IQ0yQA9nRzhVdJ2/GS2CGjG+aYz2Fxe8ZE0yz43ApWLqqeo5/ulOWtVbhp07JkIBZRjTmdxSGlhTHAtIBIVIeqmTDiMyM8vmy6fU8nDnUMp93P45Jxwcp6nLeiDm6nhMoyx1wPncyCKQUozz333JS+TkgxGr39FgDCqp2wJ8TfYP0BNdn9V5YEuB0jd7y09wTRNRCGNUFpjKGABq9bymmex/LWKixrqcxZPyBS/BhjMEwL0ZiBqGbANO0PvJbF8f7xQby05yQ6+tJrT1X5HLhoVSPOPq0GspQ5mbuYlNo8wJQClKamzAlHjY2NtERDSkbq9ltVMxEIa9B0a8R0MweSAYpmWNCNGJyKlNzxEoro0HULVso7zui/IA7AMC1UeB05z/MQGKOtxCTrEoFJRNWg6mYyMDFMC28f6sfL73Sif1hNu1/jPA82rG7EyoVVyb8zUnyysovnRz/6Ed544w1cfvnluOKKK9DQ0JCNhyUkLyW23xqihcFADFZi2XPUpxvLssvWSwKDbnLEdBNulz0T4nXLgMDAOYco2LMuibszpDwUAz50Wg3NVpCiwpi9Oywc0xBLCUxUzcDu/b14dW8Xghm2ry9u8mHj6iYsbvJl/FAsCAyyyCAKxT+bUgqyEqC88sorOHz4MN577z2Ul5fj2muvzcbDEpKXvG4ZggAMhzRYnENkLGPqmmVxCAIAfmp2JHHkgroy1JQ70RbVITAGSQRMi9u1T5LHAl6XjBULKc+DFAfGGHTDRFg1oOkmTCuxlV7Djn3deO39HqiaOeo+wBkLq7BxdSOaarwZH1cUGBRJgMspwyELRbsUUmq5nlkJUE6ePJm8fckll2TjIQnJWwvqylDhdWAopEGM1y3J9MbBYeercG5/snPIIsJRA4C9ZPKpDYvw84f3QjcsSAKDJArgnMOKv2k7FQnza705X94hZKYEgdl9cqI6YoaVPMcHhlW8/G4n3jrYB8Mc+TckiQxnLa3BhtWNqC53ZnxcUWRwyiLcDrtPFI//vZHikJUAxe12IxqN2g8oUe03UtwExvCh02pwvDsI0+Jg46yBc8vuXeN22n8XqcmuKxZW45MXLcSjLx+DYVhg8XdWSRQgiwI8bpm28ZKCxhgQ0y1EVB1aSmBysi+E7e904r1j/rSAwiGLWHdGHc5fWZ+xEixjgCQIcDpEuBwSRCERmFBkUmyyEk1cddVVySJrf/7zn7NSuI2QfLZiYRW2vX4CMc2epk59a5REO6CwuL3LwKWIGA7rGYuafey8FjTXevHH5w7BH7RrorgUCfXVmYu7EVIIWLyzcFg14lvv7QDiyMkAXnqnE4dPpm8VLnPLuGBlA9auqIVTSb80CYxBkhhcDgkuRYzPXJbeskcpyUqA8vd///dob2/HCy+8gB//+MeIxWL47Gc/C68383ohIflmdEXYibbRNtd6UVPhRPdABGVuGaIowDAtBMKaPasC+5OgLDIMh3U4FRFXnLcg7TkOHB/EU6+1IxIzIDIGCAzlXgVXnLeAghNSeOKBSSQlMLEsjn3H/Hj5nU6c7E/fKlxd7sSG1Y04a+k8SGJ6cquQzC+R7KaZ8XikFOOSUvuZGc9C+Pnkk08CAB599FG8/PLLYMxel1+8eDGamprg8/kgiuO3v2aM4X/9r/8106HMCdO04Pen/6FJkoDKSg8GB8MwjAkKXJC8MboirCgy1I9Rnj71+BO9IYSjOji3a51UeBUYJsdw2O6r444n7NVVubFyYRX2HfOPeI4yt4LhkL0LyOOU06q0jq48SwpPybwnMEDVTERVHbphV1XWDQtvHezDy+92wp+hYnJzjQcb1jRhRUtlxq3ComjnbbkcdmBijS4bO8tqavIr96t7IIxDxwZwektlrocyZdN9LbMSoJx++ulpW76mU75+//79Mx3KnKAApXiMrgg7UZAw+njDsjAcsrsQM9gVLefXenHu8josaq4ELLtOyu9GPYeum+gdjMLiQGWZgjK3kvx74ZxjKKShucaDv//0GspBKWCl8J6gagYiMXvGhHMgGjPw2vs92LGvG6Fo+lbhpc3l2LCmEYsa0rcKMwaIggCnYgcmicTxXMjHAOXgsQEsL6EAJWsZrRl3MUzhxKJCb2Suja4ImzgHFVmELAljlqdPPV6BCJciQdNNBMI65pU7cdv1q+FUJFRWejDgD+HHv39rxH2iMQNDoViysNtgUEMkZqLco8DlkMAYg8c5svIsIfki0Vk4qsU7C8cDk0BYw6t7u7B7fy9ievpW4TMXVWPD6kY0zvNkfExJEuBWJDgdIgTKL8msxF6PrAQo999/fzYehpA5lagI63ZIyR0GifXuTEFCagXZ1ICaMQaHIqGcMQyHNXT0hrCkuQIAcLx75H2iMQP+gJqs/5Cg6yb8ARVVPqf9yVESEFGNZOXZyZpqLs1cm2h8+T7+UpYITCJqPDAx7cCkbyiKl9/pxNuH+tPOa0lkOGdZLS5c1YAqX/pWYUFgkCUBLocEpyzGn6PkrsNkDFkJUNauXZuNhyFkToUiOmKameyjw2EXR5MlAT6PAocijggSEhVkJVfmKpWZgopgyn045wiETxV3M1LL3MfbygfCGpyKCMOwIIpsSj14pppLM5bZChImGl+2xk+yK3FuRlQTUdWAYdmByYneILbv6cT+tsG0QoUuh4h1K+qxfmU9vK70c1gUWHL7vSKdKqxGgcn4Su3lmdWiJZqmoaenBwMDA5BlGTU1NZg3bx4EKkNM8kDfcBTRWLxwmsAQL/oKzbBnM3weZUSQ4HXLEEW7RLcipyd9ZwoqylLuwwHohgWBMQiMgaUUlWJMAIOdWKjpJiIxM+O25LGk5dK47Fyajr4wNm87MOmE29kKEiYa38VrGvHins4Zj59kTyIwCUcNRGMmTNPuHXWoYxjb95zEsa5g2n18HgUXntmAc0+vhUMZ+TfCAIhien4JBSVkLFkPUHRdx0MPPYRnnnkGr7/+Okxz5Fqk2+3Gxo0bccUVV+AjH/lItp+ekEmxOMebB/rA4rkliRkCFv+faXEMhzScNr88GSQsqCtDfZUbHX1hyPFloATOOcKqkRZUtNSfuo9DFuwmgvHviQJLqZ7Jk48TCNszF5Mt0jbVXJqxZCvImfr4Ytiy8zgEAagsc057/CQ7WLwjdySqQ9VMGKYF0+LYd3QAL73Tia6BSNp9aipc2LC6AauXpG8VZswuPuhySHBRfsmMlNorltUAZceOHfiXf/kXnDhxAkDmEzAcDmPr1q3YunUr1q5di3/9139FS0tLNodByIQS+STlXgWBsAbDspdd7KY5DBx2U5xzltUmL4oCY7hyXQs2bzuAoZAGj1NK2/UzOqhIvU84vqOBx//P4naQIgos3ofH/nupq3Lh2o2LJx0MjJUbA2DSCbfZCnKmMz5FEuGP2Pk30x0/mTnGGEzLQiRqIKoZME0OzTDx5oE+vPJuFwaD6VuFF9R5sWF1I07PcF4kGve5nDLll5BpyVqAsnPnTtx6663QdT35RitJEhYsWACfzwfLsjA8PIwTJ07Asuztdq+99hpuuOEGPPTQQ9QBmcypRD6Jz6tAFgUMh+2twomPKIokQBIF1FS40nIybty0DFvjyyDhqA4woMLrwMbVjViWYQvg8tYq3LRpGZ7Y2YZDHcMwTQ7GOBRZRLlHgdMhIaYZCIR11Fe78J3PfQjSFJZBR+fGaLp5KuFXFieVcDteEJF4Pdp7Q9j1Xhcaqj0IR41J56dMlLsjJBpBj/Ew000YJpPDGINuWoiqGtR4Z+GIamDX+93Yua8bYdVIu8+yBRXYsLoRrfVlaefLWI37KDDJghJ7DbMSoAwMDODrX/86NE0DAKxYsQJf/epXsWHDBijKyF4Kqqri+eefxz333INDhw6hv78ft956Kx555JEJi7kRki2p+SROhwSnw94qHIt3UhUEBsvi6BuK4md/3JOWk3HFeQvQMxTF9j2dGAppyRmGNw/24cp1LThzybwRz7e8tQrLWiqxfc9JPP5qG3TDgs+jQJKEZM6J1y3jUxsWTyk4Sf1ZwlE9WcEzQZYEuB3ShAm3YwUR0ZiBQDx4syyO+548AMbsKrkORZxUfspEuTtWotvzGG++00kYJhNjzP6dRGKnApOhUAyv7u3C6/t7oY2q2yIwYNXiediwphH1Ve60xxNFBqciwa1I1LhvlvASi1Cyts04FAqBMYZNmzbhpz/96ZjBhtPpxBVXXIHLLrsMX//61/Hiiy/i4MGD+Mtf/oJrrrkmG8MhZEKj80limpmcRUm8sToUEY+9egwcSMvJ+PUWu6jg6CqwiXyNm0UBF1SOrPcgMIYPn9WM+kp3MhE1ohoQRYbmGs+0E1EX1JWhzK2gvcdOWpQEwb7ic7vseEw3saCubNyE20xBRGJLtMXt5S4OwLJ4ss+KQxEnlZ8yUe6OZphwOSTEdBNupzSp3B4yfYwx6Ia9e03T7V5SPYMRvPxOJ/YcGrB/3ylkScA5p9fiwjMbUFnmGPVY9vnmcohwOmSIAii/hGRNVgKU7du3AwBqa2vxwx/+cFIzIbIs4yc/+Qkuu+wyDA0N4bHHHqMAhcyZ1NyQgSEVqm7YOSGM2YmsArNnVHQTFV4FlsWTF29JZOjstxMFm2o8GfM1ntjRhvVrmjM+d2I2JatbeeMXBDsu4WDxgCIep0w4vz46iACQ3BItMAYjXt9Cjn8yNrm9DFBT4cRwWB83P2Xi3B0puYtnsrk9ZOoYY9AME5Gojlh8Rux4t71V+IP2wbTjXQ4J56+sx7oz6uBxjpy9SjTuczskOEc07purn6ZEldjrm5UA5fjx42CM4bLLLoPTmV6MZyxerxebNm3CH/7wh4Ipc08Kz1h1PZa3VuHGTcvwv/+8z15miAcnifoMg8EYOLcrvQrM/n5iySRx0ddHLVskkjq7BsI43DGEUEjFcDCWFoQIjGUt4bO9J4hgVEdlmeNUkzbYwUniZwlG9XGTTEcHEYok2FuiwZI9UASBweL2sQLsLdO6ySeVxJrIwxlv5qilriyrM0vEZs94WYioOjTDgmlaOHBiCNv3dOJ4d/pW4QqvggtXNeCcZbVpS3KJQoZup2R/j/JLyCzK6i6eefPmTXzQKInkWFVVszkUQgCcquvR0ReGYVqQRCF50VvWUonhUAxgQLlHgSwJEEUBiiQgGNZGvOkmPrxrugnNMJNvzJkamEmSgEBYw91/egfDQRXGLBcdS0349brktKq4HEAgpE2YZJoaRLT3htKm+i2Lw4K9xGMnttrBy+iCduM9/ngzR7Mys1TCEktx4XjQqhsm3j1sbxXuGYymHV9X6cKGNY1Ytbga4qg8qNTGfYok2ks4FJTMuVJ7ybMSoDQ3N+Pw4cM4dOjQlO/b1dUFAKivr8/GUAhJ2t/mx6+eeB/BiD5iTfxAu47j3UHMq3DBH1ARUQ0I8dkRn8du2heOjdy5YFrAqY+L9j8CQ8YurOGIjmjMRK8/Ap9Hhluc3aJjo/NHHKM+9eq6Oekk00SQsOu9bvz+mYPJpOHUN0bOAZOf+vmnksQ60cxRNmeWSlY8MImoBnTdgqoZeP2DXry6twtDIS3t8Nb6Mmxc04jT5leMauFgN+5zOezARBQSia+ldpkkuZKVAGXTpk04dOgQnn32WbS1taG1tXVS9wsGg9i2bRsYY1S0jWSVxTkefPEIhsP2G3Jq4qhu2rkN0d4gqsqcCEd1MIysIGua6W/Cibfu1O8k8jUSOOcYDmtgDKitdMKKr8vPZtGx6RSQG4/AGNauqMMDzx6CxQFZZOCWnTiczGmxHx2SAAQilMSaFxigaiaiqg7d4AhGNezc142d7/UkKyanWt5SiY1rGtN+b9S4L3+V2q8gKwHKF77wBTz22GNob2/Hl7/8Zfz617/G/Pnzx72Ppmn45je/icHBQVRWVuKWW27JxlAIAQC0dQdxsi8EAJBTKlty8ORF1rLsN2JFFqEZFkTGYHKOYFhLa3oGpE+vMsYwFIrB45Tt3Si6hahmgHOOyjK72FksXvAqsdySmq+xoK4sK8sZ0ykglzBWfk5HbwhCoogc5xCYPWsyYiYFdn6OxzX5qrdkdqiagUjMXsrxB2J45d0uvPFBL3Rz5FZhUWBYvWQeLlrdgLrKkVuFRzTuU0T774QSX/NMaf0yshKgeL1e/OY3v8Gtt96KI0eO4BOf+AQ+97nP4YorrsCyZctG9N7p6enBSy+9hN/85jdoa2uDLMu4/fbboaoqOjs7x3yOxsbGbAyVlIijncMwE9VhU3CM/BPXNBPlHgUDARVm/Jt6huAkE0lk8Dhl9A1FkwGNEK9Ga1kcnf1haPrIJoRlHhmmyfH+MT/+9OKRrPW8mUwS6mjj9d0xLXv3TlW5A8GwHu8hxJF4aRKvanW5E5/+8JLk41M34rmR6Cwc1eKdhQ0Lnf1hvPxOF9490o/Rp7AiC1h7eh0uOLMe5d6RW4UzNu6jFBOSBxjPwrzdpZdeCgCIxWLo7++3Hzj+piRJEsrLyyFJEoLBICIRe3sm5zxjxcqMg2QM77///kyHmTWmacHvD6d9XZIEVFZ6MDgYhjGqyBGZW8+9cQL/77lDEAU24gJpWTy5ZRYAqsocKPMoUGMG/MHYiCJnE2Gwu7YyZicQyrI9azEQsEuCCwwQRJbc8mtxDgYGRRbgVCSYljWihkpitmMmOSqTDRDS+u6MGsOmtfOxZedx++eShBGJt4jPFhkWxzeuXYVFDb7kY1I34pGy/Z6QaOCnxsz4jImJY132VuGDJ4bSjvc4JZy/sgHrzqiDy3Hq82hq4z6nQ4Icb9xHTqmpya8ly+6BMPYd7MXqJVPfjJJr030tszKDcvLkybSvJU52XdeTQctYxxCSbYuafPbyhMkBIT6HwdIrMSY6rjoU0W7el/J1VRvZ6DKVwOwKqKpuommeB4bJYVkcksiSPUcsDkjx5000IdRNjphuQhSAKp8r643xBMZGLB0llpJGBGmT6Lvz5oE+1FW6cLI/ggqvMiLxlnOe7LbcWm+/8cxWo0FiSwQmkXhnYc00sb9tENv3dOJEbyjt+MoyBy5a1YAPLasdkSdFjftIIclKgHLuuedm42EIyZqWeh+qfA70DqowUnfgpJBFlqzzoBkWNN1MHhXTxw5ORMHOX0H8YXv8p5Z4Rpf3thIzhSk7XzgHnMr0G/uNZzKzGJNtLnjluhYMBE5MmNcym40GS12is3BUtXeGxTQDew7346V3OtE3lF6aoaHajQ2rG7FyUTXElB1m1LivOJTarysrAcrvfve7bDwMITOWWOJ4/5gf0Zg5atfJKQyAIonQdBOSJCAU1ZPr9onZkbGk5h1a8V1BiV1CloUR7/qmxcFgBymSyCCLAiKqCQ57JiW1XgljLGNjvGkv24wxizFR877EGGoqXJPKa8lGN+VsKoY8GDswsWdMVM1EOKrj9Q968creLgTC6VuFFzX6sHFNI5Y0lY/4HVDjPlLIslqojZBcSswedA2EEQjrKUsu8VLt3F7gERjDvHInqnwO9AxGEY7qiKp2QJCY4ZgKUWDJQm6ZroMc8ZkVE9DjSbMDwzEIzL5DIoHW51EgCmxETZH9bX48sbMNJ/vDMAwOSWJomufBVetbRyyZTGUWY6Lmfal1TVrrfRMWT5tswDMX3YgLPQ+GMQbDtBCNGYhqBoZDGnbs68au97rTlhwZgBWtVdiwphHza70jvkeN+4pUif0OKUAhRSF19kCR7IuuvUUWEMBR4VUgi0KysFpMN/Gpi5dAYMCRjmE8tqMNMd20mwXGH3Os2ZfRuN3Ex7496irAcGo2hnOO1PjFvhtP9kjxB1QosojWerux34hCc4k76cDBE8P41cD7+P+uWjGtWYyp1k2ZqHjaVAKe2VTIeTCJwCSi2p2F+wajePndLrx5oBfGqJo8osBw1mk1uGhVA2oqXCmPQY37SHGhAIUUvNGzB6pmxmdKACk+exJRDdTFW8Rb8UZ3kaiOlYuqEYroEBhDuVfBwLB6ahp80s8PsHjwMarsRNpS0YgGfrCXhEQREMBgmByMWbjivAUAgAdfOGwXfYOdQ3CqfotdDO7BFw7jn79wLgTGpjSLMZO6KZlku1DcdBRqHgxjdmAXjmmIaSZO9IawfU8n9h0bSJvxcMgizltRi/NXNsDnUZJft6sgs1P1S6hxX9EaneRf7ChAIQVv9OxB6sWcwe5QrMeTYBVZTPtEn5gBkAQB5R4HBoOxKT2/KLL4rp3JvXmI8dkWw+TJgIMxO1fAoYhwu2Qc7w7gZH/YHr/AkhdcBoAJdn7Cyf4wjncHsLChfMqzGNOpmzKWbAc805FveTATSXYWVg3ENAOHOobx0judONQxnHas1yXjgjPrsXb5yK3C1LivBJXY75YCFFLwRs8eKJIQr91hJ8kivovGsnjGT/SpMwDlHtmuL6GbmGw/NK9LgtMhI6rqGA5PLs9CYAyyaAcaPo8Cl8O+qCea+vX4I3ahuZTgJMEOwuz7Hj1pByjTmcXIZnO+bAY805FPeTDjYczeMRaJ6ohqJvYetZv3nexLr6tU7XPiotUNOGtpzYitwqLI4Iw37pOpcR8pYhSgkII3evaAMQafR4E/oNpl2uPr8KbFMRTS4FREXL6uZcSF+fJ1LfjdtgMYDuvwOCUETCtjP55MNN2Cy2HXl0gliSyZP5C6rMPjUzscdrDhdNifgLWUpn7dg4mDAWSKFxKfluPfG2sWI6oaiMRnMS7PMIuRzeZ8uexGnC95MOPRDAsRVUdYNfDmgV68/G4XBobTtwo31XiwYXUjzmitSuZMUeM+ApReHEoBCil4mWYPXA4JVT4nhsOafeEXGCyLo7nGg5ULq7A1w06Pi9c0Yt8xP070hmDxya32ypKABXVe9A6pUGOndllIol3BljGeNhOT2FFhcQ5FEuPlxUfOclg8nuRrcQgZIhST27MrixrLk19LncU40RtCNGYkl48EAXhk+xEc7wpgxcKqWQscctWNOB/yYMYSjmrwB1UMBWLY+V43duztRjCaPpOzpKkcG9c0YlGjLzl+gTFIKfklVFiNlBIKUEjByzR7IIp2QCLAXsO/7ENNqCp3YTCg4pk3OmCYJrwuJbnT43h3EJ39YXxoWQ26BiJwyAIExhBWx68m61REXPvhpcndQI++cgwxzbAvIszOfzEyXEx0027A53LYMyeRmDkiV6O1vgxNNV609wRH1FkBB4x4lbimGm+ykmvC8tYqcM7xmyc/iOcnyAADAmENbd1BHO8OYtvrJzC/1pvzrbfZrFeSD3kwI8Q7C8ciGvRhFVtePopd7/WkFQBkDFi5sAob1jShaZ7n1M8Tb9zndkp2FV/KLyEovd8/BSikKIyePYiodldhJth15re93gFBYIjEZxUUWYRpcViaieGwvYOCA3juzZPxPiV2gJMJg918rdyjIKZbyd1AC+rK8PbhfhzvCsKwLJgWT+4m4gDAARZP4AW3G+8NhTSIgl3b5PqUpnsCY7j+4sXJbcamdWp7kMAYytwyrr94cdoF1+IcT77WDtOyMK/CBVWzty9b8RkX0+KIaSY6+kI53Xo7G/VKcp0Hk6DqJqKqjq6BCF56pxNvHexL2yosiQxnn1aDi1Y1orrcmfy6KDI4JBGuUY37CClFFKCQorG8tQoWgPu27IdDtmcPmAD4h2Px7rz2e729q8e0txQjvYAVh73DJtNnbQa7g6/HJdtLRxZP5jWkfoqPaSYcDtEORCwgphsjtn6Wxe+jGRZimolohr4/y1ur8P9dtQJbdh1HR18YhmlBEoVxL7ipu1kAe+bE4nZXZ8YYWDxIcTskRGJmTrbezma9klzkwSTKxquagUjMwLGuALa/3Yn3jvnTYgunIuK8FXU4f2U9ytxK8v6iYDfuczkkSCIVViNjKa2TggIUUjQszrF113EY8dkDAOgdjIKDQxbtCzPnABMZRG4vs4wn03ft4MVCIBRDNGaiYZ4LzSlVPBOf4re+1o6ewSg03Yp/ivciEjMxGFRH1OlwKIDXxces0zHVC27qbhbNsKAbVjwXJlHq1v4hOEdOtt7ORb2SucqDsQMTu3FiOKpj/3G7ed/RzkDasT6PjAtWNuDc5bVwKlLy/tS4j0xFqZ0aFKCQojG6FkaiMmziAi0IgGXyeEXXydaJTTcUOtULpb0njH/b/MaI5ZnlrVU4Y3E1BsMGTvYE4HaIsDjwy0f3jl+nYyCCXe91w+dWRgQiU7ngpu5msRJLTKkHJPoNCZn7/sy2QqtXkkmys7BqIhTR8c7hPmzf04nOgUjasTUVTnxs/UKcPt8XP+eocR8hk0UBCikYEyVVjq6FMfoCbV8QebxB38jHHi9cEYX0CrGJr3PO0d4bwq+eGFl6XmAMS+ZXoNorwzAs7Ds6cGpmI7VJYHxLrGlaCEQ0/OH5wxAZm3ZORupuFrdDHFGwDrB3/yiSkLatea4USr2STJKBSdRAIKzhtf09ePmdLvgzFPabX+vFxjWNOGNRFSorPBgejgDcnilyp+aXgAITQsZCAQrJa6ndid861IehoGYXMMtwAR9dC2N0RVnwUyXjRyfAjneNsEYFJ6LAkq3szXjxt0BEw+M7jo25NOF1y7A4R8+AXYAtQZbsKf5AOAaLA1K8OqjFMa1E1tQ8mHA8SdQwLLvTMuyE3XKPkrOtt4VQr2Q0u7MwEFV1DARi2PFuF159rxvhDFuFT5tfgQ2rG7GwocyetYv/z+uSoYgiNe4jZAooQCF5K7HT40RvCOGoDs7tC3qFV4EoCmlJlc21XpR7ZHT1R+FyiFAU+4KgxyvKmtyuMlvuUTAUiiGmn4o8Ev1urAwXj9HXEjF+XCKnBbA/BR/qGMb2PSfx4bOa036WSFSHqtlLTlJ8ZxHngKabyS61DHZSa2LpQxIZTINPOSdj9I4mw7B3FCVeO0FgyYJ1c7r1Fvldr2Q0OzCxZ0y6/RG8tKcTuz/ogaaPjFgFBpy5uBobVjeiodqTvK8kCvC4ZcyrcCIcineypsiEzECpnT0UoJC8lNjpEY3pyUBCFOzGf/5gDNU+Jyq8SjKpknOOh148go6+MEyLQ43XmxDjW3d0i0MUAJ9bhiAwOBR7hiUaL67GgREzG+MxLZ7xWNMCHn+1DfWVbpyxuBqHTwzhZE8ALkXAk6+1Q5YYLMv+GTJJbEW2S54w6CaHYRo40Ruack5GanJt6uxTTLcgxgvWTbR8lM06JQl5V68kg2Rn4ZiB4z0BbH+rE3sO96f9zmVRwIdOt7sKV5bZW4VHN+6TJDFejj4XPwkhhY0CFJJ3Und6eJwyIqpqX7CYnU9iWhyDwRgqyhxQJAHtPUH878feQ1g14s31TuWMJC4qDlmAKAoIqQYkUUBlmRPDoRgsi4+YSZmMxGMmLqGJaw8DoBsWHnzxCLy7jqN3SIWmm+Cwuye7HRJUjF34LfFYhmkHUwIDTBOIxuych6lKJNe21vvwsVGl/ScKNmajTklCvtQrGS3RWTgS03DgxBBefPsk3m8bTDvO5RCx7ox6rD+jHl5XfIu5wOCQBLjihdUoICGzodRm4ChAIXkndadHNGZknK3QDAt9Q1EIzN4+zJCoJ2Hv2BEFO9AxTQ7G7AuIKNgXfM4t9A1GADDUVbmhagZ6B9N7ogB2QGThVK2L0VK/pMgCHLKIEz0huB0iKsudcDlFhMJ2YmggokNggCQAxgQxUerPbJgcB08MYdXieRO9dBlNZSbE4hzb3z6Jx3a0wTAslLllyC4xa3VKEnLZt2c0Fq+LE47qePfIAF7YcxJtXcG048o9Ci5c1YBzTq+1q7sic+O+EruGEDJrKEAheSex08MULAQjY88ccG7vSgESjfcwIqdBYAw83vVXjZmoLnfCVSYhqhoYiKoQGBDTzLQqn6kSwUkiAEqNlVLvJQhAhdeBoVAMHBwup5jMMWECSwY41jS3k76ytwtntFZNOTAYPROSGOeHTqtJ68mTOPbgiaF4YTs2ottytuqUJOSqb08CYwyaYSIY0fHG/h68uKcT3f70rcK1lS5sWN2IVYurIYmCnV8iCHBS4z5CZhUFKCTveN0yxHgip8XH3wKcilsAZ3xEkGLFLxqJWRSBMXsnD7MTXf0BddwABUCy2Z9TEZMJraNJggDdtAujMQDDIR0W15KFt/gYgc1k2Es9U0+WHV2x1RAtDIc0DIW0tJ48AOydP1EdlmVXngUDNMMulV/lc8LlkAqiTslEGLNn4IYCKl7Z142X3+kcUdsmoaWuDBvWNGLZgorkbpxE4z6XYnfNpsJqZC6V2qlGAQrJudFLEM21XlSUKRgMxuwkV4YxE0tT8fhjCfGQJnW2ggPJ1vWJfzGJarKpxgpOAEA3LQwGYsngQ4+Xpbe7GbMJg6DxKLKIMreMroFwxkJumYyu2KpqJgYDsTF78rgUMR7ISFA1M9kzyN79xBEIa/Gkz+zWKZmNRNyxMAbEdBN9g1Fsf6cTO/Z2IxIz0o47fUElNq5pREu8EaMQ3/rtosZ9hMwpClBITo2VjNlU7cGxzmCyh85YhFHLLqYFmEhP8LBrn1hQY/asyViNAKcrbWty/L8Zsy/0IuOYTowiCIDPo8SDBB1/fP4whEkUckvk8bgdEmK6icGgnRCcyNFJ7ckTjOjwB1TMK3eemn2KF49hjEGAnfyrxWeHslWnZDYTcVMxZjfwO9kXxgtvdWD3/l7oxuitwgxrllbjolWNqKtyA4g37ovnlzhk0T5nKCghOcRL7ASkAIXkzFhN49q6gzh4YghAfPvvOH+Tk40zOICB4Rh4vIvwXLCLjgkQErkxKctNmOS1rtzjAGA3PLQsbl8wndKESauhiI6YZiKsGtB1M/kz8/h2a3s89pAcsohIzACHfVuW7D4+UjxYYbBzcUzTQky3slKnZDYbBiYxe9br6MkhPPfmSbxzeCC55JegSALOPb0WF6xqiPcGyty4L9sBLSFkYhSgkJwYq2mcaXFoupnsJjzW7pmpEOK7e6aynDORTHkxo7+WaCwoCSyZzAvY9TMM05rUz+VxiuiLd2N2yAI88W2tEzXX6xuOIppYvkgZGOentjED8eUL2f4PXbfgVOzdKgMBFUY8FyUxzIhqwOOSZ1ynZC4aBqqagfeO+fHcmx34oH0o7ftup4TzV9Zj3Yp6uJ2SnfgqCXArEpzUuI/kqVI7HSlAITmRqWkcj+c6WJxDElhyoWamFwkW340y28YKpgyLQxIACAymyVHlc8AwOQYC6oRvOINBDTHNhMAAV3y5RolXYB2ruZ7FOd480JdMBBYZg4VTtVsSRemciniqJ49gN1f0cg6nQ0K1z4nhsGbXceH2cseCOi+uWt8645mN2WgYmHjtwzEdbx3ow/NvncTx7vStwhVeBRetasSHTq+BItnF+hLtBqhxH8l7JXZeUoBCciJT0zjNsEZ0H2YWh1MREFbHL26WSepshjue+GlNVHxkCjLNnowXAxkWIIvxZngxw34Anp5DM1pYPZXEGYjoCEZ0yJKQ3PqbKWk1EQCUexUEwlqyTgwfNW63U0qWl2+q8SKi6snqrooiolJwIBDWIEsCPn5BKzauacpKAms2GwbaAYWdn7NjXzdeePskegejacfVV7mxYXUjzlxcBVEQIMYbNVLjPlJIKAeFkDmQqWnciO7D8el1Tc/OH+Rs1/+azCh1k+PMRRU42hlM5nykXhDt3BAhHrTwETt/GLODGY6RW39FgaUlrSYCAJ9XgSwKI2ZCko8XH3SiJ8/1Fy8GgLTqri31ZVlPWs1Gw8BEZ+HBgIYX3z6Jl97pxHCGarsLG8qwYXUjTptfEU8uTs8voaCkeMzlrrBcGN24tNhRgEJyIlPTuGSn4XhSIgfAJ/kXmSn/IyEc1Wc9MVYS7GTeiS527x0bhCIxVJc5MBzWRuTF2N1v7dupu5cS26VHb/0dDmtQJAHza70jklZTAwCnQ4LTIdlNCWMGwjEDhmkXFTMy9OSZanXX6VwQZtIwMBGY9AxE8OybJ7FjX1eyn1LyGADLWyuxYXUjFtSVJRv3uRwSXJRfUrTmaldYLpXaOUsBCsmJTE3jTMNMBiYJk/17HO+wbAcnqcFQYolmrNUj+2J46meyOKDqHCbX4XUrGA7Hkp+KTIsDgn2MwADOGQTBvhNjLJm0CsYgxKvUuh1SWtJqpgBAke18E69bhj8QQ3W5E5//2OlorR8ZUEyluut0LwjTaRhodxYGTnQH8cwbJ/D6/l7o5sgXXRQY1iydh4tWN6K2wmXnl4gMLqdM+SVFbk52heWBUjt1KUAhOZPaNO5EbwjhqF4Qf4CpYxwv+BEENub2VN2wMByOweOUEYznWiRK4SuSvQwRiOgAt2dWyr0KIqoRbz6IeNdjhrOXzoNpcbR1B5KzFxMFAB6XjE9/eAkWNUy/EuxMLwiTbRhoJzhbONQ+hG272/HukYG011yRBaxdXocLzmxAuUex80skAS6nDIdM+SXFbi52heWL0dvkix0FKCSnlrdWYemCCvzgd2/CNC34PAqimoHhUHYqlebSRLUzLAuIafaMQSJHpMKjoMyjIKbbPWJMbtc+4fHt1yOL0nG8srcLbxzoS5u9mM2Owdm6IIzXMDDRwO/dI/14+vWOZF2cVB6XjAtW1uO8FXV2T5x44z63Q4YkUX5JqZiNXWH5ipZ4CJljHb0hDIc1+DyKvXwRTxQdnURajHSDo9InQTcscM7tWZdR6xCiwDCYoVcMAMR0C04Hh0OW0mYvZqtjcDYvCKOXlBhj0HQTu97vxrNvdOBEbyjtPlU+By5a1YizT6uBIgspjfvsHk7UuK+0ZHNXWL6jJNkC1t/fjwceeACvvPIKjh07hkgkAq/Xi6VLl+LSSy/F9ddfD7fbnethklFSq54ahhXvqZPrUc0NDsAwTMgig6jY5dQDIS052zEc1jI2sksVDOvwuRVUeJW02YvZ6Bg8GxcExhgiqo6X3unEc292oH9YTTumcZ4HG1Y3YuXCKkiiQI37CIDs7AorFKJY2EtUU1U0Acqzzz6L73znOwgGRxZnGhwcxO7du7F7927cf//9uPvuu7F8+fIcjZJkklr1VBCyUDq2wAQiBgQGNFe6sHFNE2oqXMnZjke2H8GTu9oz3i+RrGtxIBIz4XXJczKdnc0LgiAwDIVieP6NDry456SddzPK4iYfNq5uwuImH0RRoMZ9ZISZ7AorNIWeQzNVRRGg7N69G7fddht0XYcsy7j++utx8cUXo6KiAl1dXXj00Ufxwgsv4OTJk7j55pvxyCOPoKGhIdfDJkivegrYuzVKjSAw9Adi2Pb6Cdy0aVkyuHAqdgAgCgADAweHacXrmKQw4i/aXExnZ+OCwBjQN6Ri2+52vLq3K61TNANwxsIqbFjTiOYaLzXuI2Oazq6wQiWO1zm1CBV8gMI5x/e+971kcPKb3/wG5513XvL7q1atwqZNm3D33XfjzjvvhN/vx09+8hP89Kc/zeGoScLoqqdGFvvl5FKmXj1jSRRm03QTIWDEEk2Vz2k3G4RdJ4ZzlrFbsxRvrjMX09kzuSAwBpzoDWHrruN4/YPetN+3KDCcfVoNLlrdgJoKV7Jxn9spQRSocR/JbDaTwvOJQAFKYdmzZw8OHz4MAPjMZz4zIjhJ9dWvfhVPPfUUDh48iKeffhqRSITyUfJAatVTAPAHYnPyvFMJIKZKEu3txZNddkh8KjI5h2Fa6BoIJ5do1q6owwPPHkJYNSDHuyKP7vkjMMDtEOd0OnvKFwQGHOoYwpM7j+PdIwNpr41DFrHujDqcv7IePo9CjfvIlM1WUng+KaafZTIKPkB5/fXXk7cvvfTSMY9jjOGCCy7AwYMHoWkajh49ipUrV87FEMk4UvMZZFHARL1pZiLxt825XTsjpk+8lpR6nwmPhf0Jx+dRMBScXKAlxIMOwC7xb5ocum4ll2gkQcCV61vw8Paj0E276aDA7Kq1CWUeGYbJEVb1OZ3OnswFgYPjncMD2LrrOA51DKc9RplbxgUrG7B2RS3cTvlU4z5FtINIKqxGpmA2ksLzCS3xFJhVq1bh1ltvRU9PDxYuXDjusamfwGKxufmkXqrGK4FucY7j3QEcPRmABY5yj4KBgApZFJKzGrMxw5F6oXM5JGiGNqmLH+eTG4/LIaCm0oP+oVPN6ia6X+qUbaLMPwQGj0tCW3cAoYiO01sqcc2GhXhyVzui8R4+8YKy8URRuxPxZKazs92rJNMFgTE70Nr5Xje27W5HR1847X7zyp24aHUjzlo6D454ldsRjfsoxYSQNKX2N1HwAcq6deuwbt26SR372muvJW83NTXN1pBK3ngl0AHgwRcO42R/2C7tDpz6pJzyGKm3BWFyn6RFgSUfczwCs4uKsfhayXj3SFYhnfBRAZ/HgU9tXIT/evogVN0EzIl7j3LOk9M0iW7DXqeEh7cfTXv9vvxXZyAQ1pKNAs9ZXovOvvCkg43Z7lXCGKDpBl7Y04lndndgIJC+Vbi5xt4qfEZrFWRZpMZ9hEyBkcWO7IWA8RJZ2N2+fTu+9KUvAQBOO+00PP7449N+LNO04PenfyqUJAGVlR4MDoZL7kRKeP/YAH7z5AeIaQbcThlOhwjTtHMjBGaXeI/EjORyiGXxEUs6afkVgv0pffRxmUw2QAEAWRRgmFbWPpEkJkJaG8pwzrJa7N7fi/ae4KSWq8R4E0DD4hAFhjK3DItzu4T8qOTTiUrIjzVDklaafoqPO95zRWMGZJlh75FBvPDWSYSi6TuIljaXY8OaRixu9EGWxLTGfcWK3hMKV01Nfm1L7h4I49W3O7BhdWOuhzJl030tC34GZTL8fj/uuOOO5H/fcsstORxN8XqvzY///Zf37ACEMcT0GOSoAJ/HLiJ2ss+eNWGwCw4xxmCOChFGX6wsC5hsGDHZ4ARAWqO5mUr0x+nqj+DFaCf++vLTEYiZePi5g+gdSp9JSA3EEuOWRIZqnxPRaZaQH2uG5IrzFuDJ19qz2qtkf5sfz73VgaFQDIMBDUPhWMZAw+uScOnZzVh/ZgNkkcHpkDAwrKJ3MAKXQyq6JEZCZpNRYjUYij5ACYfD+MpXvoKuri4AwNq1a/GJT3xixo8rSelVNMX4Vs/Ev6Xk/WN+3Pfk/uRuDhYvVa8ZJgaGVbidUnJ7KBMSZeyLZ0o/GWxwjnBUx5Zdx/H9L18Ablq4/6kPwDmHJApwyCJEkWE4pEE3LPs1YUBjtQeXntOMLTva4HXJadsJGWPwuiT0+CM42R/GwlGN/t4/5sf92w5A1Ux4XKe2/Z7sC+PeJz+AYVrwumUIjEEzTJjx2RpFEsd93EwOtA/i0VeOondQRSCcucqt2ynB5RAgiRIOnhjCikXVkASGJ54+iPaeIAyTQxIZGqo9uOr8VqxYWBzbQEcr5fcEkn2mxTNee4pVUQcowWAQX/rSl7Bnzx4AQH19PX72s59BEGb2CxYEhspKz5jf9/lcM3r8QmNZHE+9/g5iugnG7NeHwS68ZgclPNmx1z5+8rMihcaIBx3HOgP49t2voKM3iIhqxL9rIiIYUGTRrm8iMBimhXDUwBevPtNeyuJtcCpSWoDCAcCwENMtdA5Eseb0+uQxp15/C/MqnKdmSOJLKd3+qL3k5pLRMxiFbtiNCRkDZElEeZliL0UJ4rjnNQDsO9KP//OX9zKWok9wKSJaGsrgccgQGNA9GMXD248gGNERVQ2UeWTIogDdtNDRb/cP+tq1q7F6ac00X/X8V2rvCWR2yIo04d9oMSnaAKW3txdf+tKXsH//fgDAvHnzcO+996KmZuZvgpbFEQhE0r4uigJ8PhcCgSjMEpqKO9YVwInuANwOCWrMvviZljWlJZdiIQj2p5ywaqC9OwBNH1kh1bQ4VM1Aj99ETYUdpCgSg8AtIB40BCMaBIElZzhUzcRQKGZ3PAbwh2c+wKvvnEzOPCRff6cYf81Hvu4uh4iIqqPXHwFjdsG3RDNGTTfRF2/8B8vE4GB6bhXAsedQPx5/tS3jVuFEdwKHwlDmccAhiZAFhkhMRzRmQNcNdPWFoMhiMoCyuD2DU+6RMRTU8IdtH6C52lV0yz2l+p5QDPIxEAgE1TH+RvPbdF/LogxQPvjgA3z5y19Gd3c3AHvm5N5778XixYuz9hzjJbyZplVSCXHDwRgMk8PnkiFLOjTdLJlmf6NZVspyT/yCNHqrMef2UlCPPwqXQ0JrQxma5nnwQZsfMc1ERDXi24hZMvHX4nbujhIv997eG8K9T+7HjZuWobs/jGjMhCQJsCye1mHYqYjJXVKycKpMPoMdXOimHTg1VLtHnLcW59j1Xg+27jqOk/0ZksJFBq9LhsshwrAAlyxAtziGw/byldMhxR/HTgAuU0QAo5NiGdxOCZ0DYRw9OVy0NSxK7T2BzA7NKK3zqOgClO3bt+O2225DJGLPcCxatAi//vWvaVvxLEottlbuUdAzGJ34TkUqNTAzuf0J2rQs8AzvKRyAqhlYubAKB44P4v6nD4KDx0va2wGJFn8zSiydlXsUOBQJiixiYEjF//7zPggCQ1QzoOomFMlOSnY5Tv1pR1J21RgmhyBwe/cM7NlAQWAwOcfu93uw7ox6GCbHS2+fxLbX2zGQobKvKNj5MPMqXHA77ZL63QNhDARi0HQLFufwuk6V2tfjBfGUMdbO56J/ECHFoJSCE6DIApRHH30Ut99+OwzDXvM/++yzcc8996CioiK3Aytyqc3j3A4xbatwqbJ38I+/jdbiwPY9najyORCO6vA6ZTgVjohqJIMTwJ7tqPI5koFHTDOh6gYsDlT7nNB0E5phQdPNZJ0Ul0PCcEjFUOjUhZ/DbsZoIWWmhXMYhoUtO4/j6ddPoG8wiuio5n0AsGx+BS5c3YDd+3sQUU2UexTopoVwVEMwoieXoBKF1xKvQUw37a3UYyzfzEX/IEKKgU4BSmF65JFH8I//+I/JarGXX345fvzjH0NRlByPrLglamGsaKlE90DE3tVBwQmARHG5iXcq9QxG0TMYBWNAVDPBYC+feBwiwvHlHs4xIrl7OKzB4vYykGVxuB0SDFNPJiYPhzVEVB2hqJHxORO7qGSJwetSoOkmuv2RtLEKDFi1eB42rmlEU40XTkVEXYULf3jhMI52BeBSRLtvjlNCLJ5v43ZIsOJBT1g14Hbasy2Dwdi0ux8TQmibcUF6/fXXcfvttyeDk8997nO4/fbbx/zERrJjdN0Nq4i2DWeLOYXuzDxeTIUxBt3kMEwTYHYRNwscMc2EppkwTMveMQV7iWYoFAOLL9kk8l1imonE4owo2DM1qSX7JVGAxylBNywMZugbxBiwbkUdLlrdiJpK14jGfV5XBT510aK0RoELar0AYwhGNARC2ojmgQCm1f2YEHJKtus35buCD1BCoRC++c1vwjTtT2+f+tSn8M///M85HlXxS6tM6rIvOP7hKE2gpJjqa5FIoJVEZuezcA4j/iCjA4nEYwuMgcW35ZgAGLeLtJmmvVNGEBgY5zBMDlkS4FAk6IaJ4Qw1TAQGOB0SvE4JF65uRGuDL2PjvrEaBQIYs9fPlLofE0LSUA5Kgfmv//qvZBG2mpoaXH/99cmtxeNpaGig3JRpsjjHll3HR1QmVWMGhkIxxAwKT7LBtDgkwd4VMxks/n9SfPYlURQvsWXHIYvwuBiiqolgJD0wsRNfZcyrcMHjsreLCwCcsjhm476xOseOtRNnMt2PCSFjoxmUAvOHP/whebuvrw+f/vSnJ3W/H/zgB7jmmmtma1hFrb0niO547YxEcDIQUKe0nEHGx/nk15sNi0OOb0tO7P4BADBAEQXIioiIaiCspj+eIDBUeJRkYMIYQyiiYTAYg0MRs/KzZLuDMiGlimZQCojf70/OnpC5E4roME0OyWUnbQ6HNVjWxJ17yfjS6qVM4b483pXZ4va2Ya9TBIeAUFRHJMOOHMDOQ1nU6IXX5QAHh6qZiKg6BoNa1pJWZ7uDMiGlxCixD4EFHaBUVVXhwIEDuR5GyUmte8I5L+nCbNk0k5fQ5IAAoMylQBQZhkIaLCvzDh5FFlHhVVDmkqEbHINBFYbFs560OlaeUkefXd5+Oh2UCSlltMRDyAQSdU/auoN2wzsKTnLO55LBGRCIaBl3UjEALocEn0eB2ylh5cIquBwidu/vxVAoBstCVpNWM+UpATProExIqaNtxoSMITWXoLHagw/ah04lY5KccCkiOIDhDFVYFUnA2uV1uHBVPfyBWLw3jokD7YN4ZW9XcpdPZZkDZy+twYqFVVnLDxmdp5SKMQaPU0K3P4L2nmDRlrcnJNuoUBshGaTmEiSWAig4yR2XIsLiPGPFVwBwyAJu/OhpWLO0Bk6HDFEA3j+WecmlfziGl97twsIGX9ZmM0bnKY1G5e0JmbpSC1Ayv3sQkiKRS9DRF4JDFpMN7BJohn5uMNiN/2RJQFQzEdPT36xkScC8cieqy11442A/XE4JArO3LacuuSiyXXQtkY+iaia27DoOK0uV9lLzlDKh8vaETF2pLfFQgEJGsDhHW3cA+44OoK07AMOy0i5sIXVk8iVVj51dicBEFBlUzcz4Kcohi6itdKGmwgUOYCCg4t0jAzjWFQSQvuSi6SbUmAFNN9OWXLIhkacUVo1kheeERHn7+io3lbcnZApoFw8pWZm2hFZ4FfQNqfC6Tl3YzBKL4nOFMTupVDcsqGMs5bjjia9MYIjGDPgDsRGfso6cHMaiBl9yycUULPQEYyOCHFkS4HPLME2eXHKZae0SgTFcua6FytsTkkWlNoNCAQoBMPaW0O6BKFTNgNMhQoGYzDsZXbODZI/AAFkSoRkmYhkCE8YAr0tGmVsB50BY1RGK6hlzggaDKgB7ycXiHAMBFRwMImPJX6JmWBgIqHA7ZXjdctZqlyxvraLy9oRkUanloFCAQtK2hOqGBU0zIQgMZR4ZkZiBwUAMYjlLdtYl2ScKgCgK0HQr2Rl45Pft34fbIcO0OIZDMURixri/jyqvAwDQXOuFZXGYFiCLKXlDDBAB6KbdeDAU1fFfTx/MWu0SKm9PSPaYlt2UtVT+fihAIcn8BEkU0DsYTUbpdnNd++pnmBzd/mjuBlnEEg39dMOCaWVIfBUZysscUOKzKv6AOuaSTypBABY3lwMAOnpDEARmJzhzDgGnZsEsbm83Zgz488tHs167ZKyePYSQqTMMC4qcnTYU+Y4CFIJQREdMM6FqRnL6n4NTb51ZZgcFDIZpjdgVleCQRZR7FUiigGjMQF8oOqUp3vk1XrTEA4NQRIfAGKrKHQiGdbvAHuwgRZFElHlkRKPGiHyjVFS7hJD8oFGAQkqJ2yUjFi9XLwoABy+5bPG5JAkMHIgHJSNfZ8YApyKh3KuAgSGs6ghH1YwBzHjKPTKu//CS5ExHYtuvJAiorXRBMyxYlt23R5EEO/ARGCzOIUlUu4SQfBWMaPC6SmN7PgUoBAwcnCc66FJgMlskkdmvcYZggzGgrtKF6nInVM1Az6CKcFSfVr7PgloPPn3J0hG5Ioltvx19YVR4FThSPoEltv3WlDsxHNLGnEKm2iWE5E7iw8ZwSENDtSfHo5kbFKAQ7G8bpKqws0gUGbiVeVZKEBh8bhkuhwTD5DjaGUQ0lrnJ30S8LhlrV9Ti/JUNaK0/VV8ksWV4RUslugciGArF7ATYUdt+P7VhEZ58rR0dfWHIkjBimScRxGSryzEhZGoSf47DYS23A5lDFKCUqMRFKxDWsOO9bnDYSZUZcjTJNEkis2uPZAhMJJGh3OuAQxahaiYGhlVoU9xCmHjDEuI7qyKqjtfe68GeQ/3JbcEARmwZtjhP7tbhnIMxhpoKJz65YTFWtFaBMUa1SwjJQ4kPDAEKUEgxS61zEdNNRFQDjFFwki2JVgCZZkwUSUB5mcNOfFUN9IYi015Wq/Q6AGa/YVmcJ2uaKJKA491B/N/H3wNjdl5J6pbh4WAMUd2ELAkQGTAYjGHrruMQQLVLCMlXQvxzwVAoltuBzCEKUEpMWkE2gSGqGqAVnplLBCaZElqdiohyrwOM2TtqIqo+49c8FE1UfQVExmBwDt2wMBzWwJg9FoEBTTUeCIKd+GpZHDHDhGkBgsBRXemEafK0OidUu4SQ/JKYQaElHlKUMhVkM0xOwckMCQKLF0FLfyE9LgllLgUm5wiEtWnnl2SimxY4tz9ZGSlPnSgSC9jBS0g14HMrAOw3Nw4GSbSTXqMxE6LA4HaICKvGiDontJWYkPyRzEGhGRRSjNq6gzjRG4JlWujsD8OyKDiZCYHZAcDoBGPGgDK3Ao9TgmZYGAzFMpasn6lThdZGfZ0JSN2+HIroKHPJ0A0LumFBZAwWt2BxYDAQA+IBjSgynOgNUZ0TQvKQQDMopFjZSzsfIEg1LGaExf+P8/TAQBQYfG4FDoed+No3pM5qc69MwSVjpwKnBNO0oOlmcsuyxe2S96nHc9gzKoZh4f1jfgpQCMk3yRyU0glQMldkIkVlf5sfv3riffQOqrkeSsFiODVjMbo2iSQyVJc7Ma/CCZNz9A5GMRSM5aTzqBgvtpa63GRxYCAQiy8JjfxeopqtEP8f58Bbh/rspFtCSN5I5KCEonrGlhjFiGZQipzFOZ7Y2VZSW9NmQ6bLtUMW4fPYZeFDUR0RNXv5JdMhxNP8M+0KMgzLPgdS2lBL4sikVwuwe+4ENbT3BLGgrmxSibKJLeuUUEvI7En9i4ppFtzO4p9foAClyLX3BNHRF6JckylKuY6ncTkklLllWJwjEO9jlA8siyPxuSp1qYfBnvUxTZ5MtLNnhFi8ISTsBoIMqPAqiOn2Ms+fXjySrJ8iiixZWyV1q3Fyy/pABDHDhJBSV+UM2pJMSNYwhmQ3+Zhuwu0s/st38f+EJS4U0aHrFJ1MVnIZJ8P3vC4ZHpcMTTcxGIxNqXHftMfD0peUJiORVyIKDFU+J0SBIaaZiOlmMt/EtHjyB1UkAeUexd6RpJl47q2TMC1rRP2U0VuRE1vWQxEdhmkll7RCER13/uldfPKihfjYeS1Zey0IKXWSaPfN0vT8+FA02yhAKXJetwyh+GcCs2Z0LJDYkeNySHZH4aHonLYFmG4qiGnZtVd8HnvsgN3szwhxVHgVDIVicDske5uywKDIIjjnGArFYFkcBkxUljmT696KLNrLPyENW3Ydx9IFFdiy67jdCVuPd8EWBDuB2LLrsTz68jEsqPVixcLqbL0chJQ0OR6gqHkyazvb6NJVhCzO0dYdwL6jAzAtDodCv+apEgWGCq+CmgoXTIujdzBiV2ydo+DEJQsQp/lrE+LLOxXeU8EJYM+aSCLDxtWNcCoSIjETgsAgSQI03cRQSIMkCBAEBq9LGdGLB7CT9DxOCd3+CHa/34PugQgM07LrqggsWX9FEBgkkcEwLTz80lFKuCUkSxKdxlUtt/luc4VmUIrMiDL2mglVM5CDzSQFSxYFlLllCAJDWDVysqXP45Qwr8IFNWZgMBSDpk/tF8hxKu8k+bWUZn8bz2pCfZU7Yzn7FS2VeOaNjuQb4WiSJCCiGvAHVMQME4Zp2TMnoyR2PfUNq1RXhZAscTlEBMKlUwuFApQiklrGXhIFxHSTgpNJcsgCvG4FnAOhiDblxn3Z4naIqC53JnNFqsocGAio0I3JzUIw2DMdPF7Z1uI8Y7O/scrZt/cE8fzbJ2EYFhRZTHt8w7AginZei5CacTsKj48DFkeIau8QkhXu+Ixojz+S45HMDQpQikSijH00psPtkOAPatNuQldKXA4JHqcM3TQxFIxlLFc/lwTBfvMxTJ6cCREFe7/NZEYmS/aSDYNdfj8Q0sZs9pepnP2CujLUV7nR0ReGLAkjlnlSZ2HWrqjD8291IBTRwS0OJow8zuIckihAlgV43fIMXxVCCADUVLpwrCuII52BXA9lTlCAUiTae+wy9jHdQliNzWkiZyHyOCW4HBJUzYQ/EM2bbdihqJ38lsjn4AB049T2YGDsxFmBAbIowuOS8fmPnga3S55ybRKBMVy5rgWbtx3AUEiDxynZybWjZmEkQcAnNyzGnX96F7phQUoZr8U5BMYgiQIaqj1YUFc205eFEAKgodoNAHi/bRDRmDEix6wYUfZkkdh3dADBiA5Ntyg4GYO9I0dGdbkTFgf6h1WEojPvKjwbEqX0EzuBLW7vpPlvH1mK2koXRJGNWFlhDHA6JLQ0lOGmTcuwYmE1Wut9WLnI/ncqhdOWt1bhpk3L0FzjQUw3EQhpiOkmmms8yS3GAHBGaxU+edFCyJKQ7OLMub0VUpFFeF1yckmJEDJzZS4ZPrcMw7Twyt6uXA9n1hV3+FUCLM7xwLMH8dybJ3M9lLxl70qRIQoMEdUo2H5EMc1Ez2AU/+tL69DWHcTOvV3Yd2wg+fNIIgPP0o6ZsXJUAKCtO5D82kfXLsCCWi8efuko+oZVwOKQZXvmZPSSEiFkZmRZxCc3LMLmpw5gy442XHhmQ1HPohTvT1YC9rf58est72MwWBoZ3VMlifZ2WTt3Qi+KnJzn3uzAmsXVYIxh7zE/VM1EudeRXIY52R8ZUUxtJkbnqKTuEBtdXfafPn8OlbsnZJYZ8SJtXpeMQETHn148ghs3Lcv1sGYNLfEUqPePDeCev+yj4CQDRRJQWeaAUxERCMcwHC6ehGHOgT9tP4ondrZB1QxUeB1QZBECs4utVXgVqJqJLbuOZ7X+SGKHWEdfyO5B5FXgkMVkddkDxwenvaRECJk8RRaxfmUdAOCFt0/i/TZ/jkc0eyhAKUDvtflxz1/eQyhaGsV6JsupiKgss2cTBoMxhKJGXuaXzFTXQBgn+8PwOOVxi6m19wSz8nyJHWJzGRARQsZWX+XG6S0VAID7ntyPaKw4rwUUoBSY/W1+3LdlP8I57pybT9wOCRVeBRzAYDCW867Cs83igGHwcYupmWb26o+09wTR7Y/MWUBECJnYmiXz4HXJGAjEcN+T+7OWf5ZPKEApIIlPsoWa5JlNjAEelwSfR4FmWBgKaXnTVXi2iQwQRXs9OpNEMbVs1R8JRXSY5tQCotR2C23dAZpdISTLZEnAhavqITDgjQN92LLzeK6HlHWUJFtA2nuCaOsKQi/h8rACA9xOGYwBYdWAZRX3bEkmhsUhWHa563nlzjGLqWWr/ojXLUMU2YTVZRMB0XjJtLSrh5Dsqalw4bwz6rBzXw8eeekoyj0KLlrdmOthZQ3NoBSQ4bCGSJGuNU5EFBjK3DKcioiwqiMY0Uuy3gsD4PMoYNzedtw/rELTTVicJxv+pZa0z4ZEddmwaqRNIycCovoqNxbUlU2YTLu/iBP6CMmFJU3lWB7PR/ntUx9g577u3A4oiyhAKSBPv96e6yHMuUTzPklkCEZ0RGLmmJVUSwGL13LxuCQ4ZREMdmfTsYqpZUOiuqxTETEU0sYMiABQMi0hOfChZTVY0lwOzoFfP/E+XnqnM9dDygpa4ikQW187jv1tQ7kexpxRZAGKJELVCrewWiqvU0RYNSfVTydBlhgMw+7BI4nMXsrhgGZY8Adj8LkVAMA1GxfB51Zmtf5Iorpspg7IiaWbtu7ApJNpqbsxIdnDGMO6FbUQGHDwxDB+u/UD6IaFSz/UnOuhzQgFKAXg/WMD+NOLR3I9jDnhVESIAoOqmQjphR+YnMJQX+1GTDMxGIpNOAskiwxmvGGgnAhO7IeBxBgMyy4+51Ak+NwKVi6qnvWfYKzqsomAKJlM6xo7mTaiGtTdmJBZwBjD2uW1kEQB77cN4vfPHIRuWrj8vAUFO+tMAUqeszjHvU/uL9gTbLIS5ZpVzSi6n1UW7YAikb8xmZ9PkUVEVAOCPWmC0XMiImPQDQsOBXPaLThTB+SEqSbTEkKyizGGs0+bB0Fg2HfUjwefP4wD7YO47brVBfm+Sjkoee7Ft0/CX6TVYhmzAxOnIiIaMxCNFV9wwmAHmTHdRO9gFIPB2IT3kSUBlmV3MJYlARbn6cmpsBvzVXiVvOkWPJVkWkLI7JBlEf/wmTW4ZuMiAMA7hwfwu20HYFqFt/uTApQ8ZnGOR186muthZJ3AGFwOCZLAEI0ZUIu8fonPo0CRRXBgUjkoYjxw87hkeFwyBMZgcp4MVCzOkwHMxjWNeVNWfrLJtPkyXkKKkWFY2La7HQ5ZwFmnzQMAPP/WSfz8oXcRihbW8ioFKHnsWFegqCrGigKDyyGCMY5ozIBeJP1xxuN1S/B5HCj3KJO+MHPG8JEPNWF+rReGyVHlc0CRRHAOmNxeImKMYX6tFxvXNM3yTzA1iWTa5hoPYro5q7uLCCGZSaIASRSwcmEVLvlQExRZwL5jfnz3N69h39GBXA9v0igHJQ9ZnKO9J4jNT+7P9VCyQpYEiAJDTDMRjRX3bEkiBEmEXtGYiWjMgMshwedVMBiIjTg2cZzIACvl9ovvdOHiNY3oH1ahamaylL+uW4jpJtxOCdd/eElezkZMlExLCJk7TfM8uOTsJuzY142hkIafPfgOLjyzHldftAhVPmeuhzcuxouxgP8sM00Lfn847euSJKCy0oPBwfCYZcgnkqjC2TUQmVS+Qj5zyCI4ODS98NY+s0EUGTjnUCQRtZUuAECPPwJNt5Jbh02LQxLs40xu132prXQiELGrwV6+rgVbqSprwcrGewLJjZqa/MqVCkc1bHl5+rs5DdPC2wf78UH7EAD7g+NHz52Py89rgds5u3MV030taQYljySqcAbChd1XxqGIsCw7MbSUcc4hCPZuG82w4JBFlHsdGBhWYVocpsXBgBFLXYbJ0T8cgzteM8TjlPD3n15DsxGEkBmRRAHnLq/F4uZyHDoxhIMnhrFl53Fs39OJj5/fiovPaoI8Rr+tXKEAJU9YnOPBF4+gfyiKQq3g7lBEGIZV0MFVNlkWEgkjybL8TkWEQxFhWhwxbWThNlGwdzZphgkjbAc0oYg+7tZeQgiZiqoyB84+bR7qqtx453A/AmEdDzx3CM++eQLXbFiMc5fX5s0HoPwKl0rY9rdPor0nWHDBCWN2YMKY3RvGLLQfYBak/mknXg7GkNzN4nXJuHbjQogCA4OdPKxIAkRBgMAYxHhAE9NNeFz0GYIQkl2yJKK1vgwfP78V61bUwqWI6BtS8X8eew//c/Mb+KB9MNdDBEAzKHnB4hzbdrcXVA0QQWCQRYaYTjMmE+IcoYgORRaSpeEdDgmMAWB2gJKKMQYen1vhaSXaCCEkOwSBYen8CrQ2+LD/+CDeO+ZHW3cQP/5/b2PV4mpce/FiNNd4czY+ClByzOIcO/d1oX9YzfVQJkUSGQTGoBkWYjRbMimSKEAQGCrLHLg8nty67+gAHLLda8iwOETGktt6TM4hMDvJOFJgdQsIIYVHlgSsWlyNpc3l2HvUj4MnhvDukQG8e2Qgpzt+KEDJocSOnUMdQ3m/tCNLAji3M8EnV26sdI1+dap8DjDG0D8cw++2HcBNm5bB65bhiOejRFQDumEl76hIAtwOCWBzW8aeEFLaXA4Ja5fXYuWiKrR3h/D6B714ZW83Xtvfi4+c04wr17XA7ZzD1hpz9kxkhP1tfvzqiffxQfsgdCN/L/gO2W7epxtWPDghCcIEqy8MiaRYCYososKrQNVMbNl1HM21XtRXuWGYHLWVLtRWujCv3Jm8bVicysITQnLC7ZCwpNmHy85tRm2lC7phYeuudnz7f+/EM6+fgGlZmIs8WgpQciCxY2c4rCFf2yMkE191SnzNxOOU0FzrRYVXyfh9BrsGRoXXceprjMET3z7c0RsaURYeABTFbrBHZeEJIbkmiQLqq9z46LnN2LC6AT6PgrBq4IHnDuG/370Dv3/m4KwHKRSg5MCxrgA6ekN5lxTLYAcmgL0jJ9/Gl08qyxQwxlDudaCmwpmsH5D4g1VkATWVLjgdI7v6SpIA07STZqksPCEk3zHG0FJfho+f34LzVtTCIYsIhDU8+0YHfrNlv708PUsoB2WO7W/z43dPH8irWQnG7LwH2pEzMSHeyC8QMeBx2gGHJApwKiK8LhlnL52H1w/0weuU4HZIactihmFBFFkyt4TKwhNCCoEgMJw2vwItdWV4+1A/DncM45V3u9A1EMbXP7UK5R4l6x9qKUCZQ/vb/PjtUx9gMJAfO3ZEgUEUGTTdQqxEy9FPhSILuPrChWipK8OWePn5iGpAFO3GfVeua8Gylkp0+SM42ReGa1T5aM45wqpdwj41t4QKsRFCCoVDEXHeijrMr/Xi5Xe7cORkAN+773Vcvm4BLjtnflaDFApQ5ojFOR584TAGAmrO804kkYExO/E1n2Zy8ll1mQP/dus6KKK9ZDPerMeV61pw/7YDGAjE4HaIEEUBhmEhrBqUW0IIKWiSJGDj6kYAwEfPnY/v3/8GBoMxRFQDAEbkpcw0WKEAZY5s33MS7TnOO1Ekwe6Ia9BW4cliDCj3KLj5yuXJ4AQYf9ZjeWsV/vqK5Xjq9RM40R2AYdqzLIkibZRbQggpVIZhYdvu9uR/nza/Am8f7MdLezrhSsm5k0QBl5zdPKNrHgUoc8DiHNv3dOYsOHHIdvM+jbqpAgBkCSj3OsEtjqhmQhYZli2oxLGuAPwBFaZlByaiwNA0z4PrP7xkykHFioVVWL+mGXs+6MZwMEa5JYSQoiGJAjjn6PZH0NYVBADMq3BCFOzNArIkYOOaxhmvFlCAMgfae4LoGojM+fM6FBGmaZV8V+EEhySgptKJSMyErtvJqq31ZclZDYtztHUHcbRzGIwDi5p8aKn3TTuoEASGhQ0+GDUUGBJCikM0ZqBrIIL32wYxGIwBsGfnb9y0bERZ/GykMlCAMgeGQ7FZ3YqVisGup0FdhUeqrXThpk3Lxs0dERjDogYfFjVQwiohhHDOMRzW0DcYRe+Qir6hKIKRU+03RIFhUaMPyxZU4OCJITTXeClJdiyWZeHRRx/Fn//8Zxw4cACRSAQ1NTU4++yz8ZnPfAbnnntuTsZ1vDs4688hMECRReiGSYFJHIu/Jhed2YDPfGRpMhChHTOEEDKSZXEEIxoGgxoGQzEMBmLoG4pmTA2o8Cr48NlNuOSs5hHtOGib8RiCwSC++tWvYvfu3SO+3tnZic7OTmzZsgVf+MIX8J3vfGfOx8ZmMe9AFBgUSURMN6CWeGDikAUsavRhYYMPTkVElc+JtSvqIAlUj5AQQgB7ViSqmRgKxjAYjGEopGEwGItXNk+PMESBYWlzOZY0l2NpcwUWN/rgccnJYGQ2cyuLIkDhnOO2225LBicXXnghPvvZz2LevHnYv38/fvWrX+HkyZO47777UFVVhS996UtzOr7qcmeiUW3WSKIAWWJQNRNRzcjiIxcOxuxkrHKPgotWN2LlwipKRCWEENiBA+ccoagOfyAGf1C1/w3ExsxLdMgimmo8mF/rRXONF4ubfJhf600mv6Y+9lwoigDl8ccfxyuvvAIAuOaaa/CDH/wg+b01a9bg8ssvxw033IDDhw/jrrvuwic+8QnU19fP2fjWrqjD/3v2UHKf+EwosgBJEBCNGTCKeMJEFABZFCCKDGAMImNwOSQsqPNiSVM53C4ZPpeMMo9CQQkhhACIqAa6/REMBWMwLY7jPSFEY+nXHcaAuko3mms9mF/jRXOtF001Xswrd+bVe2lRBCj33XcfAMDr9eLb3/522vcrKirwve99DzfccANisRjuv/9+fOtb35qz8UmCgKvWt+BPLx7BdOuiORURAgNUzYTGi3NXiCwJOGvpPHzx4ysgCQIszqkEPCGEZMC5XcJiYFhFZ38Ynf0RDGSoUi6JDM01XrTUl2FBXRla6srQXOOBIosZHjW/FHyAcuLECbz//vsAgA9/+MOoqKjIeNw555yDhQsX4tixY3jqqafmNEABgI+d1wIAePCFI1O6n8shgoEhqhkF37zP6xRhWICumxAEQJYYyr1OLG4sx+ktlWn5IlQCnhBCRuIcUDUDPYNRvH2wH6GoPuL7rfVlWNxUjpa6MrTUl6Gh2g1JLMw8vIIPUN58883k7XXr1o177Nq1a3Hs2DGcPHkS7e3tWLBgwWwPb4SPrl2AJ3e2IaSOvzbD4g3pOOeIxgpzHYfB/jk8ThGrFtfgxsuXQRFFmhUhhJBpMi0OfyCGZ984AcO0P7G6HBJWLqzCqsXVWLmoGuUeJcejzJ6CD1AOHz6cvN3a2jrusfPnz0/ePnTo0JwHKO09QVjjLM8IjMHtlGBaVlbyVeZSpVfGFetbsfGsJnT0hsYMQGhWhBBCpmfb7hMYGLaXcVa0VuLK9a1Y2lxesDMkEyn4AKW7uzt5u7GxcdxjGxoaMt5vroQiOgwzfT+PKNiBiW5YadN1+aTcLaG51guTAx6HhKZ5bixsLEe51zEiEKEAhBBCssshiwAHmmo8uO7ixThzUfWslrDIBwUfoAwPDydvezyecY91u93J28Hg7BdPG83rliHLQrLwjSwKcDklxDRjRHW+XHLKdmXAviEVhsVRU+HEBWc2Yv3KeqonQgghOcIYw4+/sr7og5JUBR+gaJqWvO10Osc9NvX7qfebDklKv1iL8Wk2cYzptkVN5VhY78OxrmHIkoRITEcgPLNxTAcDMK/CgQ8tq4EaM9E7HENdpQuf/ehSOKWCPyXywkTnAikNdB6QbJILYOdNNhX81UgUT/3CJooseco2GGEGswGCwFBZOfZsjc/nGvN7n9l0Ou7+0zsIhDWY5uxtF1YkhqaaMpy1rDZeOdBAVZkTS+ZXoLLMiUVN5RCE0onEc2W8c4GUDjoPyExNdN0pRgUfoKQu26iqCkUZO4M5Foslb4933EQsiyMQSO9OLIoCfD4XAoHomMHHgnlu3LRpGZ7Y0Yb2niDCqgEzXhyFxf832bClvtIONBRZRGO1G4LA4HbKKHMr8HkUtNSPvUNmeHjuuyuXksmcC6T40XlQuPItGBjrulMIpvtaFnyAkpp3Eo1G4fONnaAZiZz65ZaXl8/oeY1xuhObpjXu90+bX4Hbrl+N9p4ggmENwagOr0uGL14V1eIcu9/vwcCwCotzRGI6+oeiCER0eBQZi5p8+Nj6Fiji+NN9lslhZbXAPpmqic4FUhroPCDZUGrnUMEHKE1NTcnbXV1dqKurG/PYrq6u5O3xjpsL4223FRjD+SsbMn6PEEIIKQUFn7m1dOnS5O329vZxjz1x4kTy9pIlS2ZtTIQQQgiZmYIPUNasWZNMjn3jjTfGPTbR7bihoQHNzc2zPjZCCCGETE/BBygNDQ1Ys2YNAGDbtm0IhUIZj3vjjTdw7NgxAMCmTZvmaniEEEIImYaCD1AA4MYbbwQADA0N4Y477oBljUwkGh4exh133IH/v717D4qyeuMA/gUUkkCEAQm5/ExpNW1JzNsUEMJ4ATLKxjQlJTVAwlSmCaop7TJZTallNySywVtZEpmCiKmUWIIlhXFTErkoSiq3uOwm+/uDeNsVdoVlF07s9/PX2X3P+7wHDsM+e97zngMAgwcPRlhYWJ+3kYiIiLrvPz9JFgBCQkKQkpKCY8eOYd++faiursbixYvh7OyM4uJiJCQkoKqqCgCwcuVKjT15iIiISDwDIkEBgHfffRdRUVHIzc3FyZMnu5yPEh4ejoiIiH5oHREREfXEgElQbGxskJycjNTUVOzduxdFRUVoaGiAvb09vL29sWjRIkybNq2/m0lERETdMGASFKB9+fq5c+di7ty5/d0UIiIi6oUBMUmWiIiIBhYmKERERCScAXWLp6+Ym5vBwUG/3YzJtPBvgQD+HRDpw0ylUnE3OSIiIhIKb/EQERGRcJigEBERkXCYoBAREZFwmKAQERGRcJigEBERkXCYoBAREZFwmKAQERGRcJigEBERkXCYoBAREZFwmKAQERGRcJigEBERkXCYoBAREZFwuJtxL7W1teHrr79GamoqiouL0dTUBCcnJ0ycOBELFizA5MmT+7uJJi0rKwsRERHdquvj44OkpKRO7xuij0WJYWpefPFF7N69G1FRUVizZo3OuqL0kSgxiPobdzPuhYaGBkRHRyMnJ6fL42ZmZggPD0d8fHwft4w6JCQkYMOGDd2q21WCYog+FiWGqcnMzERMTAwA3DRBEaWPRIlBJAKOoOhJpVJh9erV0j8BHx8fPPbYY3B0dERhYSESExNRVVWFrVu3wsHBodvf4smwCgoKAACOjo745JNPdNa1sbHReG2IPhYlhqnJysq66YhJB1H6SJQYRMJQkV6++eYblUwmU8lkMlV8fHyn49euXVMFBwerZDKZSi6Xqy5evNgPraQZM2aoZDKZavny5T0+1xB9LEoMU7J161bV+PHjpd+ZTCZTbdiwQWt9UfpIlBhEouAkWT1t3boVQPu37ri4uE7Hhw0bhpdffhkA0NraiuTk5D5tHwGNjY0oLy8HAIwbN67H5xuij0WJYQrKysoQFRWF9evXQ6lUwsLColvnidJHosQgEgUTFD1UVFRItw6mT5+OYcOGdVlv0qRJuP322wEABw4c6Kvm0T+Kioqg+meK1Z133tmjcw3Rx6LEMAU7duzAAw88gCNHjgAAPD09pQ9iXUTpI1FiEImECYoefv75Z6k8bdo0nXWnTJkCAKiqqpK+zVPf6PhnDQDjx4/v0bmG6GNRYpiC/Px8KJVKWFpaIjIyEikpKfDw8LjpeaL0kSgxiETCBEUPZ8+elcojR47UWdfd3V0qnzlzxlhNoi4UFhYCAGxtbXH9+nWsX78eISEh8PLywsSJE/Hwww/j/fffR319fadzDdHHosQwBVZWVpg3bx4OHDiA2NhYWFlZdes8UfpIlBhEIuFTPHqorq6WyiNGjNBZ18XFpcvzyPg6RlCUSiUeeOABKJVK6VhraysKCgpQUFCA7du3Y/PmzRprQxiij0WJYQrWrl0Lc/Oef98SpY9EiUEkEiYoeqirq5PKt956q8661tbWUrmhocFobSJNCoUCpaWlAICWlhbY2toiPDwcU6dOxdChQ3Hu3Dns2bMHOTk5uHbtGpYtW4adO3firrvuAmCYPhYlhinQJzkBxOkjUWIQiYQJih4UCoVUvuWWW3TWVT+ufh4Z15kzZ6QRk5EjRyIpKQlubm7S8bvvvhsPPfQQ3nnnHWzZsgWtra149tlnsW/fPpibmxukj0WJQdqJ0keixCASCRMUPag/vmhmZqazrkptoV59v+VRz40dOxaZmZmorKyEh4eHRnKiLjY2Frm5uTh16hRKS0tx9OhRBAQEGKSPRYlB2onSR6LEIBIJ/zL1oD482tLSorNua2urVLa0tDRam0iThYUFPDw8cO+992pNToD2f+Tz58+XXh8/fhyAYfpYlBiknSh9JEoMIpEwQdGD+v3d5uZmnXWbmpqksp2dndHaRPpTXyOlqqoKgGH6WJQYpJ0ofSRKDCKRMEHRg6urq1S+ePGizrrqx52dnY3WJtJfV/fjDdHHosQg7UTpI1FiEImECYoe7rjjDql8s0WOKioqpLKnp6fR2kSaCgoKcPDgQezateum3yavXLkilR0dHQEYpo9FiUHaidJHosQgEgkTFD1MmDBBmoR28uRJnXU7dhV1cXHROReCDCsxMRErV67EunXrkJeXp7Ou+gqcXl5eAAzTx6LEIO1E6SNRYhCJhAmKHlxcXDBhwgQAQEZGBhobG7usd/LkSZw7dw4AMGvWrL5qHkFzqe/U1FSt9Zqbm/H5558DAAYPHoyZM2cCMEwfixKDtBOlj0SJQSQSJih6evzxxwEAtbW1WLt2Ldra2jSO19XVYe3atQDaP/jCwsL6vI2mLDg4WNosbe/evTh06FCnOkqlEnFxcdLE2IULF8LJyUk6bog+FiUGaSdKH4kSg0gUZir1B+KpR5YtW4Zjx44BaN8hdPHixXB2dkZxcTESEhKkD77Y2FhERkb2Z1NNUlpaGmJjY6FSqWBhYYF58+Zh5syZsLGxQUlJCZKTk1FSUgKg/dZOcnIyhgwZohHDEH0sSgxTc+LECSxevBgAEBUVhTVr1mitK0ofiRKDSARMUHqhsbERUVFRyM3N1VonPDwc8fHxN104iYwjNTUV69at0zlR1sfHBxs3bsTQoUM7HTNEH4sSw9T0JEERpY9EiUEkAiYovdTW1obU1FTs3bsXRUVFaGhogL29Pby9vbFo0aKbbntOxnfx4kXs2LEDx44dQ3l5ORQKBRwdHeHl5YXQ0FAEBgbqPN8QfSxKDFPSkwQFEKePRIlB1N+YoBAREZFwOEmWiIiIhMMEhYiIiITDBIWIiIiEwwSFiIiIhMMEhYiIiITDBIWIiIiEwwSFiIiIhMMEhYiIiITDBIWIiIiEwwSFiIiIhMMEheg/7O+//+7vJhARGQUTFCIBFRUV4ZlnnoG/vz/kcjkmTJiAgIAAZGZmSnXy8vLwyCOPGL0tjz/+OMaMGYMxY8agsrJS49iJEyekY/Hx8Qa/trHjE5G4BvV3A4hI088//4wnnngCra2tGu9XVVVh6NChAIA333wTn332Gdra2vqjiURERscEhUgwGzdulJITFxcXBAUFwc7ODrW1tRg3bhwAICMjg8kJEQ1oTFCIBFNYWAgAMDMzw86dOzFixIh+bpF2U6dORXFx8X82PhGJi3NQiATz119/AQAcHR2FTk6IiIyJCQqRYFQqFQDA0tKyn1tCRNR/eIuH6B9tbW3IyMhAeno68vPz8eeff2LQoEFwcHCAl5cXAgMDERQUBAsLC60xampqsH37dhw9ehTnz5+Hubk5PDw8EBwcjLCwMFhbW2P27Nk4d+4cpkyZgm3btgEA4uPj8fXXX2vEqqqqwpgxY6TXycnJWLx4cadrqtfp69shJ06ckNr08MMP44033gAAbNiwAQkJCQCAJUuW4Pnnn9cZp76+Hvfddx8UCgVsbW2RnZ0NKysrrfE7BAQEoKqqCj4+PkhKSkJjYyN27dqFgwcPory8HM3NzRg+fDimTZuGxx57DOPHj7/pz/THH39g+/btOH78OC5cuIDBgwfjf//7H4KCghAWFoYhQ4ZALpdDoVBo9CERGRYTFCIAV69exYoVK5CXl6fxvkKhQFNTEyorK5GWloYPP/wQCQkJcHd37xTjhx9+wOrVq9HY2KjxfmFhIQoLC5Gamip9aA90oaGh0s+anp6O+Ph4mJtrH7DNyMiAQqEAAMyePRtWVlY9vubp06fx9NNPo6qqSuP9iooKVFRUYM+ePVi1ahWioqK0xvjyyy+xbt06jfVlWltb8fvvv+P333/H7t27sWXLlh63jYh6jgkKEYDY2FgpObG3t0dAQADc3d2hVCpRVlaGgwcPQqlUorS0FMuXL8e+ffswePBg6fysrCxER0dLH2y33XYbZsyYAQcHB5SWliIzMxOlpaWIjo5GS0tLp+sHBwfjjjvuAAC89dZbAAA7OztERkZKdTw8PPDss88CABISElBXVwcA0nsiGT16NORyOfLz83H58mXk5uZi6tSpWuvv379fKoeGhvb4epcuXUJERASuXLkCJycnBAQEYMSIEfjzzz9x4MAB1NTUoK2tDRs3bsT48ePh6+vbKcYXX3yBl156SXrt6ekJf39/WFtbo7CwEEeOHEF5eTmWLFmC69ev97iNRNQzTFDI5P3yyy/48ccfAbR/sO7cuRPDhg3TqFNeXo6FCxeipqYGZWVlOHDgAObMmQMAaG5u1vjWPWfOHLz66qsYMmSIdH5ZWRkiIyNRUlLSZRv8/Pzg5+cH4N8ExcbGBsuWLdOo1/F6x44dUoJyYx1RhIaGIj8/H0B7AqItQampqUFOTg4AwNXVFZMmTerxtc6cOQMAmD9/Pl544QWNEZjY2FjExMQgOzsbALB169ZOCcqlS5c0bh+tXLkS0dHRGqM+RUVFiIyMRHV1dY/bR0Q9x0myZPJ+/fVXqfzoo492Sk6A9tGL1atXA2h//Pf06dPSsd27d+PChQsAALlcjjfffFMjOQGAkSNH4tNPP8Wtt95q+B9AUCEhIdIoU0ZGhtZl+dPS0qQRiTlz5sDMzEyv602ePBkvv/xyp9tD1tbWeOWVV6TXOTk5nUZAPvjgAzQ1NQFoT3JiYmI63ZIaO3YsEhMTNUbOiMh4mKCQyVOf9HrjHBR1wcHB2L9/P3799Vc899xz0vvqy8+vWLFC6yRaV1dXLFmypPcN/o9wcHCAj48PAKC2tlYawbjRvn37pLI+t3c6LFiwQGty4+bmBldXVwCAUqmURp+A9snRHX04aNAgrFy5Uus1ZDJZr9pIRN3HBIVM3pQpU6Ryeno6li5divT0dNTX12vUs7a2hqenp8Y39NbWVvzyyy8A2hOdjg9kbYKDgw3YcvE99NBDUjktLa3T8fLycvz2228A2kefRo0apfe17r77bp3HHRwcpLL6NgL5+fm4evWq1AYnJyedcWbNmqV3G4mo+zgHhUze2LFjERoaim+++QYAkJ2djezsbFhYWEAul8PX1xd+fn6Qy+WdvqFfvnxZul3g7u5+06dPRo8ejVtuuaXLibIDUUBAAIYOHYr6+nocOnQIra2tGr8jQ42eAO0L2+mifttNfZuA8+fPS2WZTHbT66g/1k1ExsMRFCIAr732GpYuXYpBg/7N2a9fv468vDxs3rwZ8+bNg7+/P9555x3U1tZKdTq+eQOAra3tTa9jbm7e5RyXgcrS0hJBQUEAgMbGRmRlZWkc73h6Z9CgQQgJCenVtW6c96NLx2J4AHDlyhWp3J0+tLe371nDiEgvTFCI0P5BGhcXh8OHD+O5557DlClTOk2GrK6uxpYtWzBr1iyN/XJ6ytQmWT744INSWf1x4qKiIpw9exYA4Ovrq3ELpi91rL8CoFsbMKonN0RkPExQiNQ4OzsjPDwc27ZtQ05ODhITE7F06VKMHDlSqlNbW4tVq1ahra1N49u0+siKLg0NDQZutdgmTZokLWx39OhRaa8hQ97e6Q07OzupfOO8o650pw4R9R4TFCItrK2t4efnh7i4OGRkZGDTpk3S6Mf58+eRl5eHESNGwNraGkD70vQ3riJ7o6tXr3Y7kRlIOhKQlpYWHDt2DMC/k2ZtbW0REBDQb23z9PSUyh0jOrp0pw4R9R4TFDJ569evx/z58zF58mRcunRJa72goCCNxcaqq6thYWGBe+65B0D77YHvvvtO57W+//57wzT6P0Z9hOTIkSP47bffpCXp9V3a3lDkcrmUZJ4+fVpjTkpXDh8+3BfNIjJ5TFDI5FVUVCAvLw/19fX49ttvddZV//BydnYG0L6wV4cPP/xQ6xM6CoXCYPu4qK+18l9Ydt3DwwPe3t4A2m/zZGRkSMf6e10RKysr6fHvv//+Gx999JHWuhcuXMCePXv6qmlEJo0JCpm8Rx55RCq/++67nZ406fDZZ59Jk2NdXFzg5eUFAAgMDJQ+fMvKyrBixQpcu3ZN49yGhgY8/fTTKC0tNUibbWxspPKNm+OJqiMRuXbtGnbu3AlA/6XtDS0yMlIaxdm+fTuSkpI6TYatqKhARESENIeGiIyL66CQyQsMDISvry9++OEHKBQKREREwNvbG3fddRecnJxQV1eH3NxcaUExMzMzxMfHS/NRzM3N8fbbb2PBggWoqanB8ePHMWvWLMycORNubm6orq5GRkYGrl69CisrK41FwvTl5uaGgoICAMBTTz2FkJAQtLS0IDo6GpaWlr2ObwzBwcF4/fXXpR2igd4tbW9IHRsxvvrqq1CpVHjrrbeQmpoKPz8/2NjY4OzZszh06BBaWlowZMgQNDc3A9DvKS4i6h4mKEQANm3ahFWrVkkTOE+dOoVTp051qmdjY4MXXngBs2fP1njfzc0Nu3btQkxMDIqKilBXV4cvv/xSo46DgwNefPFFrFmzptftffTRR5GZmQmVSoWSkhJpE8KZM2di3LhxvY5vDHZ2dvD398fBgwel9/r79o66sLAwtLS0YNOmTVAqlRq/1w4ymQzLli1DXFwcAAibDBINBExQiNCeeCQlJSErKwvffvst8vPzcfnyZSgUCtjb28PDwwP+/v6YO3eu1hVL3d3dkZKSgpSUFOzfvx9FRUVoamqCi4sLZsyYgaVLl0ojB73l6+uLjz76CImJiSgpKYFCocDw4cNvOsGzv4WGhkoJSm+XtjeG5cuX4/7778euXbuQnZ2Ny5cvAwBGjRqFOXPmYOHChfjpp5+k+h2Ta4nI8MxUXHWIqM9UVlYiMDAQQPseQNu2bevnFlFPpaWlSaNgixYtwksvvdTPLSIamDiCQkQmb8uWLXB2dsaoUaMgl8t11lW/7XP77bcbu2lEJosJChGZvD179qCsrAxmZmbIysqSHiG/UUtLC7766ivp9eTJk/uqiUQmh48ZE5HJmzZtGoD2fXZeeeWVLucK1dXV4amnnkJNTQ2A9lt0Y8eO7dN2EpkSjqAQDSC7d+822F4/3t7emDhxokFiie7JJ5/E3r170dTUhEOHDmH69OkICAiAq6srlEolKisrcfjwYSlxsbW1xeuvv97PrSYa2JigEA0gH3/8scEWbouJiTGZBMXNzQ1JSUlYs2YNqqurUVtbi5SUlC7rymQyvPfee9IGiERkHExQiIgATJw4Eenp6UhNTcV3332H4uJi1NbWwsrKCsOHD4enpydCQ0Nx//33S4v0EZHx8DFjIiIiEg4nyRIREZFwmKAQERGRcJigEBERkXCYoBAREZFwmKAQERGRcJigEBERkXCYoBAREZFwmKAQERGRcJigEBERkXD+D4iqr5UUOSzaAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -919,12 +919,12 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 205, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAigAAAIkCAYAAAA0z9D+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAC4TklEQVR4nOzdeXxkVZk//s+5S+1VWTp7pzvpBZputgahoXFDFlFAhnEE9csojsw4uKCMX7fXd1DHcWZcRh1F1HmNqIO/cVAYwUFaVhFEekOgFex001v2ztaVpPa66++PW/emKqmkTiVVSVXleb9eDenOyc1JKqn71DnP8xxmmqYJQgghhJAKIqz0BAghhBBCZqMAhRBCCCEVhwIUQgghhFQcClAIIYQQUnEoQCGEEEJIxaEAhRBCCCEVhwIUQgghhFQcClAIIYQQUnEoQCGEEEJIxZFWegLVaHw8utJTIEWQJAH19T6Ew3EYBjVOrlaCwNDY6KfHsQZUw2PZ3Bxc6SmsehSgkJomCAy/++NJuN0SdpzRAsPQV3pKZJEEgYExBkFgFXtTI3zosSQ8KEAhNS+eUkFhCSGEVBfKQSGEEEJIxaEAhRBCCCEVhwIUQgghhFQcykGpMYLAnLcp+YwQQki1ogClhggCw+9ePol4UoXfK+N1Z7dTkEIIIaQqUYBSY+JJFfGkutLTIIQQQpaEclAIIYQQUnFoBYWUBeXCEEIIWQoKUEjJUS4MIYSQpaIAhZQF5cIQQghZCspBIYQQQkjFoQCFVAxBYDm5K0sdRwghpHpRgEIqgp238ruXTy4YfPCOI4QQUt0oB4VwWY6qHN6cFcptIYSQ2kcBCimoGqtyTNPEwFgMw6fi+NOJMEJ+N9Y3+9HZ5AdjC6+8UIk0IYSsPApQaoxumDDN0t9Uq6UqZ2wygb1/GsWeP41gdDKZ877fHhhCc70Hrz27HZduX4uQ3zXn46sxGCOEkFpEAUqVS6Y1vPjqOJ4/NIb+0SimYgoYA3xuCYPjMZyzsQnnbl4DSSx/ulEyrWFgLIbRyQReOX4KKUWH1y3B65bQXOdBc70X9UE3hAIrGLw03cBkJI3hU3EcH47gwNEJ9I1Enfe7JAEbO0JIqToU1UA4ksL4VAq/ePYEHt7dh4vPbMWbL1iHzpZAznV5gzF7paWcAcxyfA5CCKlEzCzHy+0aNz4eLTyojAzDxMG+MHa/MoIXXx2HohoLjvd7JOzY1opLzmzDxo5QwS2O2QSB4eHdvQhPp8AEhjPW12MqpiCaUBCJK5iOKxiaiGNs1opFPpLI0FTnRdAnQxIFiCKDJAhwyQLGppIQBYaNHXVwSQJckgBBYEikNSTTOhIpFdGEiqGJOFKKlvfrZgzY1tWAi89sw/mnN8PvlfHE7wfg8cjYua0V+14ZwZMvDOLEyYjzMWub/DhzQyM6mvzoaPKjpy8MTTMQ8Llw1Y71eYMDe6UFAPcqS7FbR4v5HLVMkgQ0NPgxORmHpi38M08qWzU8ls3NwZWewqpHAcoiLGeAoukG4ikN4UgKQ+NxvDowhZdPnMJ0THHGtDb6cMmZrThzwxoc7A0jmlCg6gbcsoh9B0cxlT22wYsLzmjBxvYQWhp9CGUCBU03EInPBBzjU0mMTSYxOpXEWDiBSIJve6ch6EZncwDxlArTNMEYg9ctYXwyiVORFPQS32RFgaG53ov1rQFs627E9s1NOVs3gsCcAOXSczugqjpM08SxoQge//0AXjw8DiPPrwBjgEcW0VRvBVNBnwtuWYAgCBAZgygy9I9FwcCweW0dGAMExsAEBoFlSqFZ5o/AIAoMx09GoKg6PG4JZ6yvBwCYhrUtZ5im9f/M26ZpzeFQ/yREgeHczU2QRcH6I1v/d8li/r9nArtaUw03NcKnGh5LClBWHgUoi6DrS/uFiiZUaLqRN1fEzHrDNE3M9+AwxuCRRbhdImRpZvsmpehOYOBxiQAARdORUnQoij7v9XgJmZuzwBgYYxCEmX+TRMHZvsk3D8C6GTt5Mmbm6818nWrmiUoUGczM129/rXYAIDAGVTcgMAavW+RaDUopuhVwuETM/pYbpglFNaDpBnTdgJYJEmqB9a1Z+PtT0jBmiRdbiZAq98en9oK61coti/B5lpbBIC7DtjhZGAUohBBCCKk4FCISQgghpOJQgEIIIYSQikMBCiGEEEIqDgUohBBCCKk4FKAQQgghpOJQgEIIIYSQikMBCiGEEEIqDgUohBBCCKk4FKAQQgghpOJQgEIIIYSQikMBCiGEEEIqDgUohBBCCKk4FKAQQgghpOJQgEIIIYSQikMBCiGEEEIqDgUohBBCCKk4FKAQQgghpOJQgEIIIYSQikMBCiGEEEIqDgUohBBCCKk4FKAQQgghpOJQgEIIIYSQikMBCiGEEEIqDgUohBBCCKk4FKAQQgghpOJQgEIIIYSQikMBCiGEEEIqDgUohBBCCKk4FKAQQgghpOJQgEIIIYSQikMBCiGEEEIqDgUohBBCCKk4FKAQQgghpOJQgEIIIYSQikMBCiGEEEIqDgUoZfLZz34WW7Zswb/9278t2+c8cuQIvvjFL+Ktb30rzjvvPJx77rm4+uqr8aUvfQknT55ctnkQQghZfrV235FKNEeS5YknnsB99923rJ/zu9/9Lr7zne9A07Scfz927BiOHTuG//mf/8E3vvENvPGNb1zWeRFCCCm/WrzvUIBSYs888wz+7u/+blk/51133YVvf/vbAICGhga8//3vx3nnnQdN0/Doo4/ivvvuQywWw0c/+lE88MAD2LRp07LOjxBCSPnU6n2HApQS+s///E987Wtfg6qqy/Y5e3p68L3vfQ8AsHbtWtxzzz1Yt26d8/6dO3di27Zt+NznPodUKoVvfetbuPPOO5dtfoQQQsqnlu87lINSAr29vbj11lvxpS99CaqqQhTFZfvcd955JzRNA2MM3/zmN3N+SGzvfOc7cfrppwMAnnrqKaRSqWWbHyGEkNJbDfcdWkFZop/85CfODwgAbN68Ge973/twxx13lP1zT05O4tlnnwUAXHXVVTjnnHPmHXvLLbfghRdeQENDAxKJBDweT9nnRwghpPRWy32HApQlevnll6GqKlwuF/7qr/4KH/7wh3HgwIGirqEoCu6//3488cQTePXVVxGJRBAMBnHaaafhyiuvxA033JD3gd29e7fzA3rttdcu+Dmuv/56XH/99UXNixBCSOVZLfcdClCWyO1244YbbsAHP/hBrF27tuiPP3ToED784Q9jcHAw59/D4TD27duHffv24Uc/+hHuvPNOnHXWWXM+1pYdxRqGgfHxccTjcbS2tsLv9xc9L0IIIZVptdx3KEBZos9//vMQhMWl8hw/fhw33XQTYrEYZFnGO97xDlx66aVobGxEOBzGU089hQceeABDQ0O4+eabcd999+VkQh85cgQAIMsyWlpaMDExgW9/+9t45JFHMD09DQAQRREXXnghbrvtNlxwwQVL/4IJIYSsqNVy36EAZYkW+0MCAJ/85CcRi8UQDAbxwx/+cM5e3qWXXorrr78eN998M2KxGO644w7ce++9zvunpqYAAIFAAAcOHMCtt97q/JtN13Xs3bsX+/btw6c+9Sm8//3vX/R8CSGErLzVct+hKp4VsmfPHrzyyisAgA996EPzJhqdf/75uPnmmwEAL774Iv74xz8674vH4wCAdDqNW2+9FdPT03jPe96DXbt24eWXX8YzzzyDz3zmM/D5fDBNE1/5ylfwq1/9qsxfGSGEkEpUbfcdClBWyG9+8xvn7de+9rULjs3uwrd3717n7WQyCQBIJBKYmprCF7/4Rdxxxx3YvHkzXC4X2tra8Fd/9Vf40Y9+BFmWAQBf/vKXkU6nS/mlEEIIqQLVdt+hLZ4VcvDgQeft6667jvvj+vv7nbezM6x37tyJG264Ie/HbN++He94xztw7733YnR0FLt378ab3vSmRcyaEEJItaq2+w6toKyQycnJRX2cnYQEWHuAtje/+c0Lftxll13mvF1sORohhJDqV233HVpBWSH24Uoul6uoA56yfziam5udt9va2hb8uI6ODuftxf6QEkIIqV7Vdt+hAGWF1NfXA7Ca5bS2tqKxsbHoa2zZsgWPP/44gNwINx9FUZy3Q6FQ0Z+LEEJIdau2+w5t8awQ+4wCIDcBKZ9jx47he9/7Hh566CH09vY6/759+3bn7RdeeGHBa9i16wDQ2dlZ3GQJIYRUvWq771CAskJe//rXO2//+Mc/hmma846966678M1vfhOf/OQnc/bxdu7c6Sy3PfLII5iYmJj3Gg8++CAAq4FO9r4gIYSQ1aHa7jsUoKyQyy+/HN3d3QCAl156CV/72tfyjnvooYfwyCOPAABaWlrw1re+1XmfKIq45ZZbAACxWAyf+MQnnBr1bPfccw/27NkDALjyyivR0tJSyi+FEEJIFai2+05N5aAkk0n87Gc/wxNPPIEjR44gkUggFAph27Zt+LM/+zNcffXVy3ok9UJEUcS//uu/4qabboKiKLj77rvxhz/8ATfeeCO6urowMTGBJ598Ev/7v/8L0zTBGMMXv/hFuN3unOvcfPPNePrpp7F3717s2bMHf/7nf46bb74ZW7duRTQaxUMPPYSHH34YANDY2IjPfe5zK/HlEkIIWWHVdt9h5kJrPFWkt7cXt956K06cODHvmB07duCuu+5CXV1dWeeyb98+vPe97wUA3Hrrrfi7v/u7ecf+/ve/x+23347x8fF5x/h8PvzjP/4j3va2t+V9fyqVwqc//Wk8+uij816ju7sb3/nOd7B582bOr4IQQki1qMX7Tk2soCQSCfz1X/81BgYGAAAXXngh3vWud6G9vR29vb344Q9/iKNHj2L//v34yEc+gh//+MdgjK3wrC0XXHABHn/8cdx///146qmncPToUUxPT8PlcqGrqwuve93r8H/+z/9Be3v7vNfweDz41re+hd27d+PnP/85XnzxRUxMTCAYDKKrqwvXXnstrr/+ejrVmBBCSNXcd2piBeU//uM/8PWvfx2A1R3vq1/9ak4AoigK/vZv/xa7d+8GAHzrW9/CW97ylhWZKyGEEEIKq4kk2WeeecZ5+zOf+cyc1RGXy4VPfepTzt9//etfL9vcCCGEEFK8mghQ7DKnUCiENWvW5B2zYcMG5+2F9t0IIYQQsvJqIkCxy5cikci8wcfx48edtwu15yWEEELIyqqJJNnLL78c+/fvBwB8/etfx5e//OWc9+u6nlPvffXVVy/p8+m6gXB4bt03qUyCwNDY6Ec4HIdhVH3K1apFj2PtqIbHsrk5uNJTyFHN953Ffi9rIkB597vfjV//+tfYv38/HnzwQZw8eRI33ngj2tvbMTAwgHvuuQd/+tOfAADvete78IY3vGGFZ0yWkyAwMMYgCKxinwxJYfQ41g56LAmPmqjiAaya7B/84Af40Y9+hGg0Ouf9zc3N+NSnPoXrrrtuyZ+rmiPZ1UiSBDQ0+DE5GYemGSs9HbJI9DjWjmp4LGkFpXRW9QoKABw9ehQ9PT1IJBJ53z8xMYFHHnkEZ555JjZt2rTkzydJNZG+syqIopDzf1Kd6HGsHfRYLs5qu+/UxArK008/jY997GNIpVJobGzERz/6UVx++eWor6/H8PAwHnroIXz/+9+Hoiior6/HD37wA5x11lmL/nx2C2BCCCFkOazG+07VByhjY2O46qqrkEgk0NDQgPvuuw/r16+fM27fvn245ZZboKoqOjo68Oijj845X4CXrhuIRJJLnTpZJqIoIBTyIhJJQtcrczmZFEaPY+2ohseyoaGyOm9X831nsd/Lqt/i+cUvfuFs63z0ox/NG5wAwEUXXYSbbroJ//mf/4nh4WH8+te/XlI1T6Xum5L56bpBj1sNoMexdtBjWZzV9r2q+g2tP/7xj87bl19++YJjr7zySuftAwcOlGtKhBBCCFmiqg9QspNig8GFM4Wzu8zmq/QhhBBCSGWo+gCloaHBebu/v3/BsaOjo87b87XEJ4QQQsjKq/oAZceOHc7b//u//7vg2F/+8pfO2xdeeGHZ5kQIIYSQpan6AOWaa65BY2MjAOCee+7Bb37zm7zjfvnLX+LnP/85AGDjxo147Wtfu2xzJIQQQkhxqr6KJxAI4J//+Z/x4Q9/GLqu44Mf/CCuueYavPWtb0VLSwvGxsbwyCOPYNeuXTBNEx6PB1/+8pchSVX/pRNCCMlimCb6R6OIJVQEfDLWtwYhrLLeIbWk6vug2J544gl85jOfQSwWm3dMc3Mz/u3f/m3J2zvV3HJ4NaqGttqkMHoca0c5Hsue3jB27e3DSDgBXTchigxtjT5cc3EXtnY3Fn09anVfOqu+1f2VV16J17zmNbj33nvx29/+FidOnEA8HkcwGMRpp52Gyy67DDfeeCP8/spqvkMIIWRpenrDuOexw0gpGvweGZJXgKYZGByP457HDuPmq7YsKkghK6tmAhQAaGxsxIc//GF8+MMfXumpEEIIWQaGaWLX3j6kFA31AbfTDt4li5AlAVMxBbv29mFLV0NVb/fUxFZHkao+SZYQQsjq1T8axUg4Ab9HnnNWDWMMfo+EkXAC/aPV3fsqHEkhregrPY1lRQEKIYSQqhVLqNB1c96TfiVJgK6biCXUZZ5ZaRmGifHp6jyLZ7EoQCGEEFK1Aj4ZosjmTbbVNAOiyBDwycs8M7JUFKAQQgipWutbg2hr9CGe0jC7KNU0TcRTGtoafVjfWllVOaQwClAIIYRULYExXHNxFzwuEVMxBYqqwzBNKKqOqZgCj0vENRd3VXWC7GpFAQohhJCqtrW7ETdftQWdzX6kVR2RmIK0qqOz2U8lxlWspsqMCSGErE5buxuxpauBOsnWEApQCCGE1ASBMXS3hVZ6GqREaIuHEEIIIRWHAhRCCCGEVBwKUAghhBBScShAIYQQQkjFoQCFEEIIIRWHAhRCCCGEVBwKUAghhBBScShAIYQQQkjFoQCFEEIIIRWHAhRCCCGEVBwKUAghhBBScShAIYQQQkjFoQCFEEIIIRWHAhRCCCGEVBwKUAghhBBScShAIYQQQkjFkVZ6AoSQ2mCYJvpHo4glVAR8Mta3BiEwttLTIoRUKQpQCCFL1tMbxq69fRgJJ6DrJkSRoa3Rh2su7sLW7saVnh4hpArRFg8hZEl6esO457HDGByPwS2LCAVccMsiBsfjuOexw+jpDa/0FAkhVYgCFELIohmmiV17+5BSNNQH3HDJIgTG4JJF1AdcSCk6du3tg2GaKz1VQkiVoQCFELJo/aNRjIQT8HtksFn5Jowx+D0SRsIJ9I9GV2iGhJBqRQEKIWTRYgkVum5CkvI/lUiSAF03EUuoyzwzQki1owCFELJoAZ8MUWTQNCPv+zXNgCgyBHzyMs+MEFLtKEAhhCza+tYg2hp9iKc0mLPyTEzTRDyloa3Rh/WtwRWaIalmhmmidySCV46fQu9IhHKZVhkqMyaELJrAGK65uAv3PHYYUzEFfo8ESRKgaQbiKQ0el4hrLu6ifiikaFS6TmgFhRCyJFu7G3HzVVvQ2exHWtURiSlIqzo6m/24+aotdDMhRaPSdQLQCgohpAS2djdiS1cDdZIlSza7dN2uDnPJImRJwFRMwa69fdjS1UA/XzWOAhRCSEkIjKG7LbTS0yBVrpjSdfp5q220xUMIIaRiUOk6sVGAQgghpGJQ6fr8VtuGFgUohBBCKgaVrhMbBSiEEEIqhl267nGJmIopUFQdhmlCUXVMxRQqXV9FKEAhhBBSUah0nQBUxUMIIaQCUek6oQCFEEJIRaLS9dWNtngIIYQQUnEoQCGEEEJIxaEAhRBCCCEVhwIUQgghhFQcClAIIYQQUnEoQCGEEEJIxaEAhRBCCCEVhwIUQgghhFQcClAIIYQQUnEoQCGEEEJIxaEAhRBCCCEVhwIUQgghhFQcClAIIYQQUnEoQCGEEEJIxaEAhRBCCCEVhwIUQgghhFQcClAIIYQQUnEoQCGEEEJIxaEAhRBCCCEVhwIUQgghhFQcClAIIYQQUnGklZ5AqR05cgQ//elPsXv3boyMjMAwDKxduxavf/3r8b73vQ/t7e0rPUVCCCGEFFBTAcp3v/tdfOc734GmaTn/fuzYMRw7dgz/8z//g2984xt44xvfuEIzJIQQQgiPmglQ7rrrLnz7298GADQ0NOD9738/zjvvPGiahkcffRT33XcfYrEYPvrRj+KBBx7Apk2bVnjGhBBCCJlPTQQoPT09+N73vgcAWLt2Le655x6sW7fOef/OnTuxbds2fO5zn0MqlcK3vvUt3HnnnSs1XUIIIYQUUBNJsnfeeSc0TQNjDN/85jdzghPbO9/5Tpx++ukAgKeeegqpVGq5p0kIIYQQTlW/gjI5OYlnn30WAHDVVVfhnHPOmXfsLbfcghdeeAENDQ1IJBLweDzLNU1CCCGEFKHqA5Tdu3dDVVUAwLXXXrvg2Ouvvx7XX3/9MsyKEEIIIUtR9QHKoUOHnLezV08Mw8D4+Dji8ThaW1vh9/tXYnqEEEIIWYSqD1COHDkCAJBlGS0tLZiYmMC3v/1tPPLII5iengYAiKKICy+8ELfddhsuuOCClZwuIYQQQjhUfZLs1NQUACAQCODAgQO45ppr8NOf/tQJTgBA13Xs3bsXf/mXf4kf/vCHKzRTQgghhPCq+hWUeDwOAEin07j11lsxPT2N97znPXjXu96F9evXIxwO45FHHsGdd96JRCKBr3zlK2hra8PVV1+9pM8rSVUf260aoijk/J9UJ3ocawc9losjSsKquvcw0zTNlZ7EUlxxxRUYGBhw/v5P//RPuOGGG+aMO3DgAP7yL/8SqqqitbUVTzzxBNxu96I+p2maYIwtes6EEEJIMUZOxZFWdXS1hVZ6Ksum6ldQskuFd+7cmTc4AYDt27fjHe94B+69916Mjo5i9+7deNOb3rSoz2kYJiKRxKI+liw/URQQCnkRiSSh68ZKT4csEj2OtaMaHsuGhsorrIhEkph0iys9jaIt9ntZ9QFKIBBw3n7zm9+84NjLLrsM9957LwBrRWWxAQoAaFpl/lKR+em6QY9bDaDHsXbQY1kcXVtd36+q38xqbm523m5ra1twbEdHh/P25ORk2eZECCGEkKWp+gBly5YtztvZlTv5KIrivB0KrZ59PEIIIaTaVH2Asn37duftF154YcGxds8UAOjs7CzXlAghhBCyRFUfoOzcudPZ5nnkkUcwMTEx79gHH3wQgNW47bLLLluW+RFCCCGkeFUfoIiiiFtuuQUAEIvF8IlPfMLpjZLtnnvuwZ49ewAAV155JVpaWpZ1noQQQgjhV/VVPABw88034+mnn8bevXuxZ88e/Pmf/zluvvlmbN26FdFoFA899BAefvhhAEBjYyM+97nPrfCMCSGEELKQqm/UZkulUvj0pz+NRx99dN4x3d3d+M53voPNmzcv6XPpuoFweO4qDalMkiSgocGPycn4qirRqzX0ONaOangsm5uDKz2FHCOn4hgZjWBtc6Dw4Aqz2O9lTaygAFbDtm9961vYvXs3fv7zn+PFF1/ExMQEgsEgurq6cO211+L666+nU40JIYSQKlAzAYrtkksuwSWXXLLS0yCEEELIElR9kiwhhBBCag8FKIQQQgipODW3xUMIIeVkmCb6R6OIJVQEfDLWtwYh0OnmhJQcBSiEEMKppzeMXXv7MBJOQNdNiCJDW6MP11zcha3djSs9PUJqCm3xEEIIh57eMO557DAGx2NwyyJCARfcsojB8TjueewwenrDKz1FQmoKBSiEEFKAYZrYtbcPKUVDfcANlyxCYAwuWUR9wIWUomPX3j4YtdFWipCKQAEKIYQU0D8axUg4Ab9HBpuVb8IYg98jYSScQP9odIVmSEjtoQCFEEIKiCVU6LoJScr/lClJAnTdRCyhLvPMCKldFKAQQkgBAZ8MUWTztmXXNAOiyBDwycs8M0JqFwUohBBSwPrWINoafYinNMw+vsw0TcRTGtoafVjfWlnntxBSzShAIYSQAgTGcM3FXfC4REzFFCiqDsM0oag6pmIKPC4R11zcRf1QCCkhClAIIRXPME2cOBnBi4fGcOJkZEWqZbZ2N+Lmq7ags9mPtKojElOQVnV0Nvtx81VbqA8KISVGjdoIIRXNbo42Gk7AMAGBAa0r1Bxta3cjtnQ1UCdZQpYBBSiEkIplN0dLKRoCXhkel4SUojnN0VZi5UJgDN1tIa6x1BafkMWjAIUQUpFmN0cTBAZByDRHEwVMxRTs2tuHLV0NFXnTp7b4hCwN5aAQQipSNTdHo7b4hCwdBSiEkIpUrc3RqC0+IaVBAQohpCJVa3O0al75IaSSUIBCCKlI1docrVpXfgipNBSgEEIqUt7maEblN0er1pUfQioNBSiEkIqV0xxN0TEZTSOtVHZztGpd+SGk0lCZMSGkotnN0YYm4oAgAoaOtU3+ils5sdkrP/c8dhhTMQV+jwRJEqBpBuIprWJXfgipNBSgEEIqnsAYNrSH0NDgx+RkfN7tE9tKN0izV37sPiiJlAZRZOhs9lMfFEI4UYBCCKkpldIgjdriE7I0FKAQQmpGdmt8v0eG5LW2VlaqNX4xbfEJIbkoSZYQUhOoQRohtYUCFEJITaAGaYTUFgpQCCE1gRqkEVJbKEAhhNQEapBGSG2hAIUQUhOoQRohtYUCFEJITcjbGt+s/Nb4hJD8KEAhhNSMnNb4qo5ITEFarezW+ISQ/KgPCiGkplCDNEJqAwUohJCaQw3SCKl+tMVDCCGEkIpDAQohhBBCKg4FKIQQQgipOBSgEEIIIaTiUIBCCCGEkIpDAQohhBBCKg4FKIQQQgipONQHhRBCVgHDNKl5HakqFKAQQkiN6+kNY9fePoyEE9B1E6LI0NbowzUXd1H7f1KxaIuHEEJqWE9vGPc8dhiD4zG4ZRGhgAtuWcTgeBz3PHYYPb3hlZ4iIXlRgEIIITXKME3s2tuHlKKhPuCGSxYhMAaXLKI+4EJK0bFrbx8M01zpqRIyBwUohBBSo/pHoxgJJ+D3yGCz8k0YY/B7JIyEE+gfja7QDAmZHwUohBBSo2IJFbpuQpLyP9VLkgBdNxFLqMs8M0IKowCFEEJqVMAnQxQZNM3I+35NMyCKDAGfvMwzI6QwClAIIauaYZroHYngleOn0DsSqal8jPWtQbQ1+hBPaTBnfV2maSKe0tDW6MP61uAKzZCQ+ZWlzDgWi+HXv/41XnjhBQwPDyMSieCmm27Cn/3ZnwEAvve97+HMM8/EG97whnJ8ekKWBfWVqH61Xn4rMIZrLu7CPY8dxlRMgd8jQZIEaJqBeEqDxyXimou76OeWVKSSBiimaeK73/0ufvSjHyEejzv/xhhDODxTyvaTn/wEp06dwrnnnot//dd/xbp160o5DULKrtZvbKuBXX6bUjT4PTIkr3Xjtstvb75qS008llu7G3HzVVucn9dESoMoMnQ2++nnlVS0kgUoiqLggx/8IHbv3g0Ac5YTbalUChMTE2CM4cCBA7jhhhvwk5/8BJs2bSrVVAgpq9VyY6tls8tv7QoXlyxClgRMxRTs2tuHLV0NNbG6sLW7EVu6GmjFj1SVkuWg/MM//AOee+45mKYJl8uFG264AV/60pfyjn3Pe94Dt9t6UpiamsLtt98OTdNKNRVCyob6StSG1Vh+KzCG7rYQztq4Bt1tIQpOSMUrSYDyxz/+EQ888AAYYzjttNOwa9cufPGLX8Sf//mfzxnr8Xjw93//9/jlL3/prJocPXoUDz/8cCmmQkhZrcYbWy2i8ltCKl9JApSf//znAABJknDXXXehs7Oz4MesW7cOd911FyTJ2mV69NFHSzEVQsqKbmy1gcpvCal8JQlQ9u3bB8YY3vCGN6Crq4v747q7u3HZZZfBNE309PSUYiqElBXd2GoDld8SUvlKEqCMjY0BALZu3Vr0x27evBkAMDk5WYqpEFJWdGOrDXb5rcclYiqmQFF1GKYJRdUxFVOo/JaQClCSAMV+ohZFcdEfK8v0ipNUPrqx1Q67/Laz2Y+0qiMSU5BWdXQ2+6kSi5AKUJIy46amJgwODuLo0aNFf+yBAwecaxBSDaivRO2g8ltCKldJApQLLrgAAwMDeOqppxAOh9HYyPcE/dJLL2Hv3r1gjOG8884rxVQIWRZ0Y6sddvktIaSylGSL521vexsAqwnbpz71KSiKUvBjDh8+jI9+9KPOFs9b3/rWUkyFkGVDfSUIIctptXVXKskKyiWXXILXvva1eO655/Dcc8/hHe94B/76r/8aZ555Zs44VVXx8ssv4+GHH8bPf/5zpNNpZ/XkjW98YymmQgghFYPOayJk8Zg5X0/6Ik1PT+Od73wnent7cxpY2WfxeDwepNNpZ8XE/n9LSwvuv/9+tLa2lmIay0LXDYTD8ZWeBuEkSQIaGvyYnIzPWx5MKl+1PY50XtP8quGxbG6urEq8kVNxnByJoLMlsNJTKdpiv5cla3VfV1eH++67D1dccQVM03T+2MFKKpWCYRjOvwPAeeedh/vuu6+qghNCCCnEPq9pcDwGtywiFHDBLYvOeU09veHCFyFklStZgAIAoVAId911F+6//37ceOON6O7uBoCcoKS5uRlXX301/uM//gP33nsv2traSjmFOSKRCF7/+tdjy5Yt+MQnPlHWz0UIIXReEymX1fYTU7LTjLOdffbZOPvsswEAuq5jenoauq6jrq4OLperHJ9yXl/84hedRnKEEFJuxZzXRNVDhMyvLAFKNlEUc8qOJyYmoOv6smzrPPnkk3jooYfK/nkIIcTmnNfknf+8pkRKo/OaSNFKlDJaNUq6xQMADz/8MN7znvfgq1/9at73//KXv8Sll16KG264AY8//nipP70jHA7j85//fNmuTwgh+dB5TYSURslWUBKJBG677Tbs3r0bAOD1evOO6+/vh2maeOWVV/Cxj30M1157Lb785S8vqk3+Qr7whS9gYmICjY2NCIcpIY0Qsjzs85oGx+OQJWFOVWM8paGz2U/nNRFSQMlWUD7+8Y/jueeecxJiJyYm8o5bt24durq6nHEPP/wwvvCFL5RqGgCAX/3qV3j00UchCALuuOOOkl6bEEIWQuc1kXJZZTs8pQlQnn76aTz99NNgjMHn8+Ff/uVf8NOf/jTv2Pe///147LHHcPfdd6O5uRmmaeL+++93zuRZqomJCfzjP/4jAOB973sfzj333JJclxBSmwzTRO9IBK8cP4XekUhJqmvoIEJClq4kWzwPPPAAACtD/Uc/+hFXUPC6170Od999N/7iL/4Cuq7jZz/7GbZv377kuXz+85/H5OQkNmzYgNtvvx3j4+NLviYhpDaVs5kanddEyNKUZAXl5ZdfBmMMl112WVErFlu2bMFll10G0zTx/PPPL3kev/jFL/Dkk09CEAR86UtfgtvtXvI1CSG1aTmaqdF5TYQsXkkCFDvf5Iwzzij6Y7du3QoAS17pGB0dxT//8z8DsLZ26HRkQsh8qJkaqUbmKmvVVpItHlEUoWkaVLX4un5N06yJSEubyh133IFIJILu7m587GMfW9K1eEhSySu0SZmIopDzf1KdSvk4njgZwWg4gYBXhiDMbaYW8EoYDScwNBHHhnZqplZq9Du5OIIgrKp7T0kClM7OThw7dgz79+8v+mPt5NilNG67//778dvf/tbZ2vF4PIu+Fg9BYGho8Jf1c5DSC4Xyl76T6lKKx/HEaByGCXhc0pwABbC2ZpJpHRBE+l0vI/qdLE4o5FlVP48lCVAuuugiHD16FAcOHMAzzzyDN77xjVwf9+KLL2L37t1gjGHHjh2L+tzDw8P48pe/DAC4+eabcf755y/qOsUwDBORSKLsn4eUhigKCIW8iESS0PXKPDmVFFbSx9HQITAgpWhwyXN7MCmq9X4YOiYn6eTyUquG38lKDAQikSQmJ5f3uJhSWOz3siQByjve8Q785Cc/AWD1Q/nKV76CK664YsGP2bNnD/7v//2/ME0TgiDghhtuKPrzmqaJv//7v0csFkN3dzduv/32xUx/USr1iHAyP1036HErkmGaFVeFUorHcW2TH62ZZmr14txmarGk1UxtbZOffmbKiH4ni6Pr5qr6fpUkQNm6dSve/va344EHHnA6yp5++um49NJLcdpppyEUsvZwo9Eojh8/jmeffRYvv/wyTNMEYwzveMc7cOaZZxb9eX/2s585nWvf+9734sSJE3PGZB8UGIlE0NPTAwBoampCc3PzYr5cQlaFcpbgrjS7mdo9jx3GVEyB3yNBkgRomoF4SqNmaqQirbacbWaW6PShdDqND37wg07AMPsUz9nsT3vppZfirrvuWlSS7Gc+8xk8+OCDxU8WwEc+8hHcdttti/pYXTcQDtOyb7WQJAENDX5MTsZX1auPpbBLcJNpFW5ZAhgAE0irOrxuaUWajZXjcezpDePhPb0YmohD00xIEsPaJj+u3dld9UFYJauG38nm5so6imDkVBx9g1PY2FF9SduL/V6WLB3Y7Xbj7rvvxic/+UmsWbPGaWU/35+mpiZ85jOfwb//+78vuYKHEFI6dgluLKlA0UxMRtMIR9KYjKahaAZiSbWmSnCtF1PMCsLACr64ImSlrLYy45KtoGQzTRMvvfQSnnvuOYyMjODUqVPQNA2hUAjr1q3D+eefj507d8LlKn+yz+DgIC6//HIAwNve9jZ87WtfW/I1aQWlulTDq7VK0jsSwb/d9wckUhpMmBAYsxdQYJgmGBh8Hgl/d+O56G5bvldzpX4c7VWilKLB75HnbPFQS/ryqYbfyUpcQekdnMSmjrqVnkrRFvu9LMvSBWMM559//rJU1BBCSisaV6zgxDQhCjMrCpl1BuiGiURKQzSurOg8l2J2ozb7a3TJImRJwFRMwa69fdjS1UB5KKRyrK4FlNJt8RBCSqccB9jxiiZVq7qOzd3uYIxBYAymaSKaLL4xY6XoH41iJJyA3yPn/Rr9Hgkj4QT6R6MrNENC5lpl8Ul5VlAIIYu30tUzAa8MJjDohgkBc1cP9MzKSsArl30u5RJLqNB1E5I3/2s0SRKQSGmIJao3CCOk2hUVoLz3ve8FYL3CuOeee+b8+1LMviYhq9GcvAivlRdhH2CXLy+i1L1KQn4XfG4JiZQKzTAhMuZU8eimCYEBXreEkH9pOWQr2WMl4JMhigyaZuRt1KZpBkSRIeCr3iCM1KBVtoRSVICyf//+vBnu8/07L7sfSjl0dnbi8OHDZbk2Ibx4bsaLyYsox2rL+tYg1rUE0HcyCs0woOmm88QoiwySIGJdSwDrWxefRLjSq0TrW4NoyzRqk6W5jdriKatR21K+RqAyG90RUi2K3uKZL5goQzEQITXBvhkPjseh6QYkUUBns3/OzbiYvIjuttCiVlt4ZDcxSykagpIIgQGGCSiaDo9LWlITs3LNuxjL0ahtpYMwUntWW5lxUQHKr3/966L+nZDVrqc3jO8/fBDRhJoTxB/uVzE8EcffXLvNuVkVkxdR7iqUrd2NuPmqLc4NVtWsG2xnc2BJN9hKqp6Z/TUmUlrma5wbPBarEoIwQqpdUQHK2rVr8/57R0cHNTciZBbDNHHf08cwnSnHlQTByeXQDAPTcQX3PX0Mn73ZuhkXkxdR7GrLYmztbsSWrgbuLQqe7YzlmHcxiv0aeVRSEEZqy2rbqChJFc9XvvIV/P73v8db3/pWXH311Whvby/FZQmpar0jUQyNxwAAspi1KsKsv6u6gaHxGHpHotjYHioqL+LgifCyVKEIjHEFCrzbGZVYPcP7NfKqtCCMkGpVkj4ov/vd7/DKK6/ga1/7Gp577rlSXJKQqnd8eBq6XQWTh8isUt7jw9MAZvIiPC4RUzEFiqrDME0oqo6pmJKTF5G92pLPclah2NsZg+MxuGURoYALbll0tjN6esPO2Eqad7k4QZg0fxCm6yaVMBNSQEkClKGhIeftyy67rBSXJKTqMXs5dr5VfDZrHGbyIjqb/UirOiIxBWlVR2ezPydvwV5tiWc6vmazV1vaGn1LrkIpZPZ2hksWITAGlyyiPuBCStFzzu2plHmX02oIwsjKWG3FKCXZ4vH5fEgmk9YF6eA/QgAAG9eGIAoMhmGCCZizZWMYVsOzjWtzl/l58iKWowqFR7HbGZUy73JarhJmQmpdSVZQrr32WuftX/ziF6W4JCFVr6sthLVNfpiwzq8xMid5G6YJ3bAKBtc2+dGVJw/Bzos4a+Ma58Y+G+9qSzktZjujEuZdTsVs1RFC5leS5Y6Pf/zj6O/vx29+8xt89atfRTqdxrvf/W4EAoFSXJ6QqiQwhhvftNkpMzayVmcZYwj5ZNz4ps1LulGVowqlGIvtyLqYCqETJyM4MRoHDB1rm/wVfYMvZwkzIasFM0uwqfWrX/0KAPDggw/i2WefBcscMrZp0yasXbsWoVAIojj3yStnIozhX/7lX5Y6lWWh6wbC4fhKT4NwWumj3Xt6w3h4Ty+GJuLQNBOSxLC2yY9rd3bPe6MqVwfSUl/XME1842cHMDgeR33ABVUzYBgmBIE5JbWdzX58/J3bl9TYbdfePoyGEzBMQGBAa5U0PKNOsvmt9O8kj+bmytqCGzkVx5ETp3BGV8NKT6Voi/1eliRAOeOMM+bsPy+mfX1PT89Sp7IsKECpLpXwZFjMjapcHUjLed18zegYYwj65JxmdIu5tt3wLOCV4XFJSCkaYkkrX6UWtoRWo0r4nSykEgOUV0+cwtZVFKCUJAcFsAKS7D/5/m2hP4TUMp6cEqC4kl2bYZroHYngleOn0DsScSpmlnrdRWFs5s8S5a0QEuavECKE1JaS5KD8+Mc/LsVlCFnVynVYYDk7m9rXNkwTHU0+qLo5s8UjMkzH1UVfmxqeETLLKgvGSxKg7NixoxSXIaRmlaMNPO95L9nXBYC0qjtBhEsSlnSjz762IAhwz1qTXejahb4nldh1ttwoZ4WQGWVtWqIoCkZHR3Hq1CnIsozm5mY0NTVBEEq2s0QqED3J5ipHG/hiVkXs62qigcnJNFTNgAmrT5wsCQj65UV3Nl1sEMHzPVlshVC1otOPSSGra/2kDAGKqqq4//778cQTT+D555+Hrus57/f5fHjjG9+Iq6++GldccUWpPz1ZYfQkm6uYU23LdVhgwCfDME2Ep9MwYUJgDAKsJztF0xGeNuDzSIu60S8miOD9nqymhmd0+jEhc5V0KWP37t245ppr8MUvfhF79+6FpmlzkmHj8TgeeeQR3Hbbbbj55pvR19dXyimQFbRsiZhVopxt4ItpkNbZEoBhmM65QEKmDYDAmHMekGGY6Gwpvm9Rsa3ri/me5G14ZtRew7Nif07I6rXafgJKFqDs2bMHt956KwYGBpxgRJIkbNy4Edu3b8c555yDrq4uCILgvH/fvn246aabcPLkyVJNg6wQepKdq5hVDqB8hwUOjsUgCAyiAOimlWdnwvq/bgKiAAgCw+BYrOivsdiuqcV+T3K6zio6JqNppJXa6ToLFP89IWS1KMkWz6lTp3DbbbdBURQAwLZt2/ChD30Ib3jDG+ByuXLGplIpPPXUU/je976HI0eOYGJiArfeeiseeOCBgs3cSOWiiou5cvIzMqsJmm5AEgXnDJrZ+Rm8HUiL2f44eCIMgTGsCXkwHVegZgU1siSgzu9GWjUWnWyaPefB8bjzNebrmrqYnJWt3Y04bX09Xjg8jkTagM8t4DVbmiHVSC7bakwGJou0el7fAShhmXEsFgNjDFdddRW+/vWvzxtseDweXH311bjyyitx22234emnn8arr76K//3f/8Xb3/72UkyHrAB6kp3LXuWYjqYRS+a2ug9HAL9XhiwJedvAn7a+HvsPjiIcSaEx5MGOba05N+RiDt1zVluMTPNExqzlk8xWj2aYJUk2tbZ4MsszyN/faLE5K7M7yT77h+GayWtabcnAZPHMVRahlOQlyDPPPAMAaGlpwZe//GWulRBZlvG1r30NDQ1WV7yHHnqoFFMhK4SOmJ9rfWsQsiggMuscHgAwTCCaUCGLwpwkz57eML553x/wwG+P49cvDOGB3x7HN+/7w5wcHt5D99a3BhH0ypiMpqGoOgQGiAKDwABFtbZNgl550cmmdu7R0EQcfo+MNfUe+D0yhiYSc3KPis1ZyclrcoloCLrhdtVWXlOx3xNCVouSBCh9fX1gjOHKK6+Ex+Ph/rhAIICrrroKpmlWTZt7kh89yc5lmCamY+kFx0zH0jl5Odk3ZIExuGUBAmMYHI/lvSFv7W7Ex9+5HR95+9m45Zqt+Mjbz8bH37l97spCZgvIKi+2VlEY2MzrsUUmmhabe1RMzspq6SRLpx8TbtX9o160km7iNjU1Ff0x7e3tAKzcFFK9VuOTbKEW8/sPjkLRDAjM6jmSjcHaqlA0A/sPjjrX27W3D7GE6iSEnoqkncTQeELNe0Mu1Ea/fzSKaEKxVh9kEYZpVe0Ypgm3LKIh4EY0oeRNwiz0NS4mwZN35WcpyaM87f8rCe/3hJDVpCQ5KJ2dnTh69CiOHDlS9MfaFTxtbW2lmApZQZV4xLxhmjhxMoITo3HA0LG2yV+SIInnhOJwJAUT1nYKg5OaAWQCFhOAbpgIR6zgvH80ioGxGNKqBhNWCbA9UNVNaLqGgbFY0YnGdn5QKOBC0OdyynXt1QjDNBGJKYtqprbY3KOt3Y3Y0tVQVCdZRdWhqAYAE7IkLqkJXCXi+Z6Q1a2yw+zSK0mActVVV+HIkSN48skn0dvbi+7ubq6Pi0ajeOyxx8AYo6ZtNaKSnmTzJVe2lvr0XvsfVeDVgWl8/9RB5/TexpDHWjkxAZYJUrKXUkzDBAPQGLK2RSNxBYm0BsMEZDFrIAMkxqDqJpJpDZG4UtR8Zydhzk7EXEoztaUkeNorP4XmHU+qSKS0OdVHPre06HlXqkLfE0JWk5Js8bzvfe/D+vXrkU6n8bd/+7cYGBgo+DGKouCTn/wkJicnUV9fj1tuuaUUUyEVgPfk3nIqV3KlYZq47zdHMR1XYJqmlXDKrODHNE1MxxXc95ujMEwTO7a1wuuWoBlzK1pM04RmmPC6JezY1goAiCVVmJlmavmIjMEwTMSSxVVClbOZWjlzj9a3BhH0uawtLlW3ermIDILAkFZ1TMbSCPpci5o3IdVotf3oliRACQQC+MEPfoBNmzahr68P1113Hb7+9a+jp6cHhpFb1TE6Oor7778f1113HZ5++mnIsow77rgDqVQKw8PD8/4hhFc5kyv7RiIYmoiDwa6EyerKmlklGZqIo28kAkkQcM3OLogCc075tfM/VN2EKDBcs7PLKR8Oeq1cC8PMH9AYplUmHPQWVwlVzmZqZc89ynwfrJ0uM1PFbM4sRGV9n6jhGal9qytCKckWz+WXXw4ASKetioVkMom7774bd999NyRJQl1dHSRJQjQaRSKRAGA94TLGoGkaPvGJTyx4fcYYDh48WIqpklWgnE3jjg9FrJbxAst7bUGw8kqOD0Wwob0Ob7moCwCwa08fEmkNpmEVzPg9Eq7Z2eW8HwCCfhd8HgmJlAbNMCGwmScja4uKweeREPTnNj/UDGPBninATH5QobwZIH/uR3bOyuzcj3LlHvWPRhFNqmgIup0tHj3zBO2SRfg8EqJJ1XkcF5sPQ4dbElKZShKgDA0Nzfk3+xWgqqqYmJjI+3H5GjkRslTlbBpn2vct+zjgOQNmjQPQ1RrEuhY/BsZmuqyua/Gja9a2x/rWINa1BHBsaBqKZkLPWnxkDJBEhnUtgZztkkf39WHXnj4k05ozpXufPDIn+Jm5DrNGsUzBcZ4b8WJyP8qRe5Sd3BvwylCzviGyKMAEcpJ7l9IErtoSasnqtNpumSUJUC688MJSXIaQkihnZ86NHXUQBeuAPSFPhKKb1urKxo46ADO5MMm0Cq9bcqpy7CZm2UmbAmM4a0MjDvdPwcwk9doME9B0E2dtaHRu+o/u68PPnzkO3TAh2bXMJhBPafj5M8cBwAlS5iSPSvMnj9q5H/2jUZgmIAnMCX5Sio60qmN9a3DJPW0KrVzMfhzdsghJFKDpBkwTUFU953Es9vTjak+oJaTWlSRA+f/+v/+vFJchpCSKvVEVo7stiLXNAfSPRqHqhrWVkgkMtEy+1drmALrbgjN9TZIKdANIpNLOjV6SBOiG1ddkS1eD05jslRNhSKIAw9Bzus8yAJIo4JUTYbx5x3rr2nv6oBsmZDFrJYQBMrPKknft6cMVF66DwFhOTo491iWLkCUBUzElZx6Zb5Tzak2b1QbXtE8azFLsSgRPmXaxj2Mx7f9n5ylxfU8IWWGrbAGltI3aCKkE2Ymbk5lzcGIJFbGkisloekmJmwJjuPHSTajzuyAwBs0woGkGNMOAwBjq/C7ceOkmCIzN9DVRDKiqDivD0zqvRlV1pBXd6WsCzPRB0XQdTLC2dOw/TGDQ9Jnx+w+OIpnWIM2TCyMJDMm0hv0HR3NycgAgnlQxHUsjnqkGmp082j8aRTiazlnByf0eAOFo2hmfUzEliwgFXHDL81dM2WXarw5MI5bUkFJ1xJKaVab98EFnfN4EXGPhBNzlaAJXTtXWYI6QcirJCgohlWZrdyMu3d6Bh/f04dR0yskZ8bolXLq9Y0lL91u7G/HmC9fNJL5al4bHJeLNF65zrh2NK0ikNBiGOdOkLev/zDSRSGmIZvqa5PZByX3tIGRWRew+KHYTuLx5MJl/N02rWVzI54Kum0jqKkZnnQskRICQT4YJ5uRy2PMGrH4sptNWzmqOrxsz8y52JSK7TJsBELKa2BnGTJn2Z993IQTGchJwR8MJJNPWWUILJeAupgncbCtxuCXlw5CCVlm8SgEKqUk9vWE8/vwA0oqedXsF0oqOx58fQFdrcNFP+j29YTx9YBiCAKwJeZwtnrSq4+kDw861o0l1JjjJw74pRzMrGcX0QcluAjdfsq7dBC7gk6FoOpJpfc4wwwSm4iq8btHJ5Ygm1UyPF2t1xrq8/UmsQwYN03QqaIqpmJpdpm1/DAPAMhVQdpn2hnYrj8cOOIYm4oAgcnUE5m0CVyknCFM+DCFz0RYPqTmGaeK+p49hOvMKXxQFyLIAURSsA/ziCu57+tiils+zVwwagh74vTL8Hhl+r4yGoDunx4rXIxV8wWMC8Hqs1wnF9EEppglcR2a7YyFpVUdHsx8AEPDKYAKDPs/3RzetkuOAV55ZiZDmX4nQddNZibDLtIV5y7SZU6adTWAMG9pDOP+MFmxoX3rzv0o63JIazBFe87/cqU0UoJCa0zsSxdB4DIC1VWIdacPA2MzWydB4DL0jxecXFLNiMMB5fXuc3QeFMSs4sAMVwzShZ4ITuw9KMU3gft8zBtNYeA6mAfy+ZwwAEPK74HNLEBgyAZAVSJkmMv1ZrK2ykN+VsxKRz+yViJwy7bwTQe64Mqmkwy0rNR+GVKDVFZ9QgEJqz/HhaauZ2gJbJbph4vjwdNHXLmbFgPfeZo+z+6C4XSJkSYRpAnomr1aWRLhdYk4flLdc1IW/eONG+D2SFcRkghS/R8JfvHGjU2J8ajrFtZJzajqVMw+PLEEWWc7px7LI4JElZx7FrkQ4ZdoLrM5kl2mXU6WcIFzsKhQhqwXloJCa4zRgXSCBFGbWuCIUk7uwps7LdU17XHaZbDKtWS3ts/JbvG5pzqv6t1zUhSsuXLdgJ1nehoj2uOx5pBQNQUnM5J0AiqbD48qdB29pL1BcmfZyqITDLSstH4ZUrlW2gEIrKKT2bFwbgihYCaV5czkyreo3ri3+1NhiVgwu2NoCocBvmCAAF2xtcf5uv6pf1xKAYZpQVQOGaWJdS2DeV/WSIOCSs9px7SUbcMlZ7XPa3Hdx3uyzx82sLgSgaAZiKQ2KZqCzee48ilmJmF2mrRsGdN2AnqdMe7ms9OGWlZQPQ0gloRUUUnO62kJY2+RH/1jMSshkViRuwHSqatY2+dG1iGPti2kGNjwehywKSBvzJ4DIooDh8XhOxUmpX9XXBdyQRStXZf55MNQF3HP+3cz0bbHrpOdbjSlmzlu7G/E3127Drr19GByfaf+/1LN7qlUxP1NkdVttedIUoJCaIzCGG9+0Gd9/+CCiCRWmAeeQOcYYQj4ZN75p85wnfN5D43gP3ovGFWgLBAWA1b7e7oMy+2so9iDD+XQ0++fN+bDppulU8QDzt8bP16J/MXPe2t2I09bXFzzkcLUo14GLhFQzClBITbJfpT+8pxfDE3HoBiAKQEee03uBxTXJKnTwnt0HZSHZfVDK5fc9YwVfeZmmNe6Ss9qXpQ18vu/37ldGVvXNuBLyYUilW11LKBSgkJrF2+Cr2CZZvAfv+Tn7oPg9c38NeVdzeIQjKa4AJRyxqnhmt8ZPZ1rMCwKDSxLmNF8rFjUlm18pV85I7aEtHkJqiN3gq6HBj8nJ+Jx+HYtp1c47Pp7iWxmZPa7ULc8bgq6ixtllr5poYHIyDVUznIa1siQg6JcXXfY6+/unagYURYcgMNQHXHRIHyHEsTo3fAnJKLZJ1uzxiqojldagqPqc8fHUwt1bbdnjij14j4c5b711/nEBnwzDNBGeTkPRdDAGiMzq16JoOsLTaRimOafsleegO/v7J4kCxiaTGJtMYmI65bwtCYyakhFCANAKClnlij00zh6vCwZGo2kommGtuzJr+yPkm1ldEOC0+JgXw8yrhOzVhTq/C6puIp1ZXajzy5iOq3lXFwptB01F01zfC3tcZ0sAhmE1fpNEK8/GzKyhCMxK7DUME50tAedjeVd9YgkVaUVHStFgglnN9DLfJEUzoGppeFwSNSUjhFCAQmqbYZo4cTKCE6PxvDkoxTbJslcXJqZTOacCwzSRUnQoqg6/V0bAJ8PvDUEUGXQ9/wkaDIAozvRjyV5dGJ9Kzdla8eXJ/eAJDBpDHghspl19vnkwZo0DgMGxGARhJhiZfQyzwKxTiAfHYuhuCxWVU+LzylZOi2mVNmdPQmJWKXRa1eHzUlMyQmZbZSkoFKCQ2mXfvEfDCRimdWNtnXXztptkDY7HIUtCzjaP3SSrs9nvNMnqbAlA1QzMV5xjmICqGehsCUBgzOnHIsAKAjKLLc75Ntn9WOzVhbSqO/1b7NmkVR2absAti87qAm9gsGNbK+598gjiKS2zIjIzD8AKQnyZgwXtefBUH8USatE5PMwu94bdY8VanWGZZZSZM5OX76m4lAnJhJDSoRwUUpNycjlcIhqCbrhdc3M5ij00rn80BqXAycCKqqN/NOb0Y/G5JRgmoBvI+b/PLeX0Y/F7JSs40a3oRTdm/sAE9Mzqgt8rzdkOMgGkFavbS51fzjkBN/tgQU03neZrpmlCm3WwIDCzypEdxNjs4Mpe5chX8ZNMa87pybNzeOJJDW5ZBMuslqi6AS3zf1W3DkR0yyLiSW3pPwQcenrD+MbPDuCuB17GD3b14K4HXsY3fnZgUbk+hJQb77EVtYICFFJzZr+qB4CUYt0w8x1fX0yr9uNDU/Ounsx8fmucTdHyBzSz/92EVSWUvaky8z7rj/V+Nmc7aGwyiYkpK9F0fCoFScxNNn3LRV143TltEITcwEcQgNed0+YcLAhk1jSyTjDOdHvJrHpk/7s5U/FjGNbnziS9jmeSXjXDyKn4CfhkCAKb94nWNK1y5nwJuCdORvDioTGcOJk/AbdY5UhIJoSUDm3xkJozu1JEzSotliUBPvfcXA7eJlmnMr1CCjkVScEwTdz98EGoWv6bqapZ7//XD78WAmOIJ+Z2lM0nnlDAGMskm1rbQY5MLoyqGfC4creDevqm4HOLAJjT1wQw0dM3hZ7e8EwH3ISK7KyZfLM3YSKaUBHyu5yKHxMmBGerhmUqfgz4PJITcNgJuIZpNc6bvcWjG5g3AXehrbrZCm3bLEczOkLI0lCAQmrOnEoRgTlbEwtVinA1yeJ94W4Cx4enMRlbOOiYjCk4PjyNzWvrrY6yWTkqs7FMtUs0qaJ9jS8nOMm+hZoAdMMKVLK3g2IJFbphQtNnAjZJZIgncquDYpl5FPr6YkkV2zY0OhU/gHXe0cwsrP9nBxzZCbjWNPgTcANeGR6XhJSiLdjUjSdxuJjycmqcRirFKtvhoS0eUnuyK0VEZr3aNw3r/yKztmAWWymyps7DPe6pFwa5xtrjAl4ZYGzeJyErp5Qh4JVhmHASWWe/vrf/bq9U9I9GMTAWQ1rVoOomBMYyQYKVB5JSNQyMxZztoKBX5uqAG/TKGByLcXWpHRyLAchKwJ1vUYLNn4DrkkWrm60s5t2qA/i3bZzycmn+8vLFNqMjhJQGBSikqvA0A3MqQEyrQkXTMsmYmpUUar97MZUim9bWQRQWXvIXBYZNa+swwbkdZI8L+FwFW6qxzLgTJyPOv5l5/thOnIwgEleQSGuZbRWWySGxNnFEgcEwgWRaQyRzaKHPK3MFHT6vjEhcQVrTnVLlnLlmqpAUTXeubScCm/Mc8GwacBKBi22ilzegYfkDmuzy8nxml5cTUgnyNyyoXbTFQ6pGT2+44AnCgFUpImUqVmaz/0US2KIqRbraQuhstkqH59uG6Wy2Soeb67w4OhiZO2iW5jqv9bEw59zk812fwbTPJ4QA5E3atfuesMxWjGlYJbyabmTN23SCCMMwra0dAKPheME5z4xj1rVZ/l0hxnKvnZ0InE92InC8yCZ6xQQ0xZaXE0KWH62gkKrQ0xvG9x8+iFcHphFLqEgp1o3p1YFpfP/hgzkVF36vhPQ8r4xtac2A31t8fG6XDtf5XRAzuRSMWQGBKDDU+V1O6fCl56/luqY9zg6sFmIHVhvXhjJnA+UfZyWTWk3ggl7Z2joxZ/aw7c9impkAh1lbNgAQjvB1ng1H0kVfe3YicHaFULZ4Qil6laOYbZtiy8sJqQSUg0JIhTFME/f95iimYwr0TF6F/Uc3TEzHFNz3m6POdo+as0qQn2la4xZja3cj/ubabTh9XR0CPhlel1Wlcvq6OvzNtduc1Zx1rYECV0LOOL9XgmbMf3IOA6AZJvxeCetag7mdWPOQRYZ1rcG82xT5vj32uIYQX55NQ8hT9LXtRGA7Dpu9LSVkJQLbqxzxlDanLNle5Whr9DmrHMUGNMWUlxNSEVZZgEJbPKTi9Y1EMDged343Z1esmAAGx+PoG4lgQ3sdnnlpmOu6z7w0jNM7GxY1J56y5Mf39nNd6/G9/bjudRudPqoLbX9Y/7eqXGRZhDJPV1uBAbIsWkmssBJijQWe3QTGnM/f3ujlmnd7ozfn2rPPHbL/nn3tgFcGE6z2//kYplVZFPDKzirHPY8dxlRMQcArQcgc0BhLanNWORazbcNbXk5IJaAcFEIqzNGh6bzltPbf7bLao0PT2NBeh3iSs58I57j5FCpLHp9Kcl3HHpdIqlxJsolMPofAGNbUexCJKXPO7QkFXFAUw8nPcMsiDEObN5hxy6JzXd7KlVhChSAIcMsiTNO6tsSYMw/dtKqmsq8d8rvgkgQk9fm78cqSgJDfBWBmlcPug5JM6xAyeT6z+6DMDmj8HgmSZLX/j6fmBjTZH0elxLWh1o8tMBa36Fu1KEAhFW8yT06EfRPMN64h6Oa6Lu+4+RR6Mmyu51uJsMf5PCLUeVYWbKpuwucRIQgCRJFBEgS0NvqslZRM8zWXJEDVDOii6WxnCAVyW7K7t/aORLnm3TsSxTmbm+B2iXC7RCRSmtMUz4QVmPjcEsCQ06gtX/JyNk3PbdRmr3IMTcQBQcx76GP22Juv2sKVTE1qC++J2tVstbW6pwCFVLzG0Ewgkf3rOftX1R63bdMaPPOHkYLX3bZpzaLn1NMbxi93n8DAWByabkASBaxr8eNtl2xwngyvuGgdfvG73oLXuuKidQCAk2G+FZeT4SR2ntnmbGfUZ3p92GZvZxim6fREme+wwJzurbyvOBnL2VZpafBaBylmAiW7I2v2tkrfSDSns28+qmagbySKTR11zr8JjGFDewgNDX5MTsbnzTOZmVom9TZT7jS7qqcW1PpqQTGKOVG7mq2u8ISSZEkFKNTbZNPaOhRYAIDArHEA0HOc7wwV3nFzPq43jO/+4hUc6p9GPKUhrVpbCIf6p/HdX7ziVBS9dGic63r2uEnOvimTkVROFcpkNI14UkU8pSKeVDEZTedsZ2R3b9V0qxeM1VHW+pPdvRUAf6mAac6qhklbW02mCVUzMBVLz9lWeeHQGNelecfNlt2oze+RsKbOA79HqrnzdeiQwxnF9L+pdrXwNRSDAhSyonieaNe1BuGap3TU5pIErMu8Sk8XOG3YNnscTxM4wzRxz2OHEE/l76EST2m457FDMEwTRwenueZhj6vn3HKyx23tbsSl2ztgGCbCkRROTacQjqRgGCYu3d7hvGK0u7cu1KHW7t4KAOta/FzzsMfZ89A0A6emUxibsuaiaUbOPIDFPzY8VsuNig45zFVsQ7+qVt0/ukWjLR6yYniXZe2KlbSavw6FYaZipbstlLPdsZDscbz7170npzE2ufBKx9hkCr0npxGOcvYTyYwzOTPg7HE9vWE8fWAYosjQGPJAyPQjUTQdTx8YRldrEFu7G+Hzykgp+oLVQSllpvV//2iMax79ozGcd3orenrDePz5AaRV3dkdYgDSqoHHnx9w5gEAGztC+A1HldXGjuKTVlfD+Tp0yOFcsSIb+lWzag+ui1VTKygTExP49re/jXe+853YsWMHzjrrLFx88cV4z3veg//8z/9EIpFY6SmSjGJe7dorAGyefR4msJwVgLM5c0vscc4r0rFY5nwbKydjcDw25xXp85xbD88fGkNDwMU11h7XO8IXGPSOxOZ8/+yyWlkSUB9w564WmEbuicd56IY1DgCm43zVTdNxZaZHTVyBaVpbRZJgnfVjmiam47k9ai7c1srVLffCba1cc8i22PN1eFbOFqvU115VqwWcVtOxBYWS3WtNzaygPPnkk/jMZz6DaDT3F3NychL79+/H/v378eMf/xjf+c53sHXr1hWaJbEV80Rrn98C04QkWH1ArGboDAwmDNN0zm8BgGSab3sgmdadG/10ppvo7D4eacXIeUU6McV5vs5UivsJ0Q68iln5sb9/kihgbDKZk3gqSwJ87pnv34lhvpvVieEoNnbUI63yreSkVQN9IxEMTcTBgMyp0dbXwgAwwQp8hiZmetQMj8fhcYkLPkYel4jh8XjRqxzZNypXnu9lvhtVOSs/ynHt1bRawGs1HVuwWlbFbDWxgrJ//37cfvvtiEajkGUZN910E77//e/j/vvvx5133ok3velNAIChoSG8//3vx8mTJ1d4xrWN51VjMa927SZfVudY66ZnZP6vGzNn0WQ3A+Mqq/XK6B+Novdk1DrAbtYYE1YuRO/JqPOK1CXz/cq4ZGslg4c97rwtzVzjz9vSjFhCRVrRMR1LQ9EM60ydzB9FMzAdTyOt6Nb3j/M5zR7X1cb3RN7VFsTxoQj0TNVOvkBTEBh0w8TxIetMolhChUsSUReQ8/a0qQvIcEniom6wxXaeLWcuR7muvZpWC3itpmMLCh1UWmuqfgXFNE184QtfgKqqkGUZP/jBD3DRRRc57z/nnHNw1VVX4Tvf+Q7uvPNOhMNhfO1rX8PXv/71FZx17eJ91VjMq91YQnUO/8sXRADWGTV2M7BiTgWejitIpjXn32YzYZ30a297dLUFsedPhbd5utqC8Hv4bhJNdVZred4nUIEx+Lwy0qoOw7C6S86+XVk5IFZeyQYP30rEhnZr3GmddU4+y/xzsMYdG84chpivMY3975gJfuzH3S1LCPlcSKR1p0zb5xah6dZq2GJusMU0aitnLkc5r72aVguKkd3QbyScQCKlQRRZ3oZ+1awWgqxiVP0KyoEDB3D06FEAwLve9a6c4CTbhz70IZx++ukAgMcff5zyUcqgmFeNxbzaLeaMGuvvM6f0zjfePhW472SkYGK8CaDvpHUj3tzZwJVDsbmzgTvh3h534mThk4/tcQxWVc5Cia+maX8vWMFXXtnbM11tIaxrCSz4/VvXEkBXWwgbO+ogCgz6PLkVumlCFBg2ZnqaZD/ujFmrWPUBt9UCn7E5qxzF4j1fp5y5HOW89mpaLSjW1u5GfPyd2/GRt5+NW67Zio+8/Wx8/J3bayY4AVZfDkrVByjPP/+88/bll18+7zjGGF772tcCABRFwfHjx8s+t9Wk2BLPYp5ondCEWeXEsihAEhlkUbDKj52D56w34kkNblmEKFq9PySROX8EhswreBHxpJYTbMy3OgPM9C7rbgsWvHmubw2iuy2IKc4qHnscM+cPqpx5ZMZFE2rBhEvDNBFNqEgkVXhc4oIBh8cl5rTQv/FNm1EXcEEUkLN9JApAXWDmxObutiDWNlsN3uxDGu3gyD6McW1zAN2ZbaPluMHy3KgWm1DLo5zXBuiQw4XYxxactXENuttCNReorbYApeq3eM455xzceuutGB0dxYYNGxYcm/1KPZ3mu3kQPosp8eRdlk0kVbhlESlFg2aYEFnm1b5prZzMPksm4JOd9uvxpApFM5wtCJckwJ8ppw34ZKyp8+YccjdfGfOaOqsdvfUEGEDfAu3gu9sCEJhV+jv7AL18127MnB7c3RHiWs3p7ghh5FSc68TmaELB2uZAJkckfw82xnJb3QMzJzYX6pYrMIYbL92E7z98EJG4Ai3rhGjGrLN3brx0U86NYjmW4wudr7OYhFpe5by2jQ45XJ1W26Nb9QHKxRdfjIsvvphr7L59+5y3165dW64prUqLrS7geaLNDjic814yN1pXpmIl+7wXexvhyMBU7tk2plV5YhgKTltXj/WtQXS2BHDvk0fmbbwGAD6PhB2ZslfNMPD7Ah1if39oHDe9eQsu2NqCH/6qx67ezYsJwAVbWwAg09F14QPBBMEaZ+fNFJJMa+hsCTit7vMxMo3ass+/mfl8AkRRgAlAFAUIwtzHd2t3I9584To8vKcPyZTmpKN43BLefOG6vAHHSt9gy5nLsVx5InTIYS7r28xgmkamxq/2ZL8AWA2qfouH1zPPPIOenh4AwOmnn462trYVnlFtmV1doKg6UmkNSqYj6EKvGgsty9pP+JpuoqXBi5YGL5rqPM7bmmHm5C0IzNrOme/gPVU3M9s91mF7F5yxcPXMBWc0Q8rcmPcfHF0wmAGsbrL7D45ieDxe8GmSgWF4PG59XFKDSyzQMVcUEE/yBSe2wbEY13aQ0+oexbWMdxq1Kbmlw2lFx+PPD8xbsbKSy/Hl3GqiPJHlYW07WmuUqm4lQg9PxLDn4Cj6RvjyuapNoXOsak3Vr6DwCIfD+PznP+/8/ZZbblnB2dQmO4joOxmFZhg5J9ZKmVN3u9oL52/kk1udkYZLEiEwQNVMxFMqPC4p5wlf0XW8cmLhMs5XToSh6DokQcD4VAqiYJUwzyYKwPhUCkbm3JmJKb7k6ompBHweiatB2lTM2m70eyWkCzwBpTUDfq8Ej5vvV9fjlhCJKwVbx6dVHZFMpdLsfCJVM6AoOgSBoT7gyqlCAYD7nj6G6Zgy5yBH3TAxHVNw39PH8NmbK6+z6WK3mngO6VstVSXLKXuFRNWt857GJxM4MhTBieFpnDgZxWg4ARPWKuNnbnoNNnfWFbhqdVltKyg1H6DE43F88IMfdHqf7NixA9ddd92SrztfAtxqds6mJhzun4JhWOXFdv6FohrQBBPnbGrKuyfP4+zNTbhsPI5fPncCp+IpZxvB55Fw2fmdOHtzkzP24T29C26TANY2yuP7B3Du5ib0nozkDU4AK2jpPWk1I9vQHsJ0gm/1Yjqh4WXOwwhfPh7GBWe0wpgnRySbaQIGw5zVivmkFR0JUeP6fiTSGiRJwImTEYyGE5BF0WkCZ5qm06nW75ExGk5gaCIOM7PyslA10eBYDIPjMaeSZ7HEzOqSWGCVqRhnb27CmZvWoG8kimhCRdAno6tt/q2mgyfC+OVzJzA4HoOqmZAlhs7mAN722g3YtqFxSddeTXgfS8asgFDVTKQVDcPjCRwZnMTx4QiOD0cQjuTPJTRMYHQqgTO6G0o+95Wkm6vr3lPTAUo0GsUHPvABHDhwAADQ1taGb3zjG3n30YshCAwNDXwHqq0WhmHi0MAUPC4JhmlA1QwYpvUE43GLEAQBhwam8O63bF1UJvofjoxj197enO0VE9Z2yq69vTjrtGace5q1VTM5z5PWbJORNHQwJAp0nk2kdeiwHvP2prl5Gvm0NwUwfCrONdZk1rV/t6uHa/zv/jDiJNYWklAMeL18328j8zWeGI0jrRpIpNTcvBXThK7oUFQdPo8MCCKGxqNcq0RD4SRec2YH1zzyzs0wcXxoGkeHowj5Xdi4tq6kFQ1rGgs/rn84Mo7/+OVBROJpJ5BMq8DhgSmc/OVBfPz/nO/8DBZ77dUqFPLO+TddN6BoOlJpHUeHpnCodxJHBqdwdGDKWeVbiN8rY+dZbXjLJRu5VxqrheySVtW9p7YevSxjY2P4wAc+4OSdNDU14Yc//CGam/m6dS7EMExEItRHJduJkxEMjERQF5AhSwIUzYCR6TDqkgSomoGBkQgOHBpxGoLxMkwT3/7ZS4jG85dlRuMqvv2zl/CVD10CgTFEk3xnyUSTCl45unDCq+2Vo+PY3B5E0Mv3KxP0Sgtnu2YzDExOxnF8cIpr+PHBKXg28G0RJJIKxsJ8gVLPiVN4wzntMHUNybS2YFJtMq3B1DUMcu71D45EMDnJN4/ZDp4I4+HdvTh5KuFstbWv8eHaS7rnrFrMzNEs6cqFYZq4+xcvYyqaAjJVT/YKoWGYmIqmcPcvXsY/3LKDVkg4iKKAUMiLaDQJVdOd7dpjg9M4MjiF48MR9I5EuVYK6wMubGgPobs9hA3tQbQ0erEm5EUykUYysfhqzUoMBKLR1KJ/j1bSYr+XNRmgHDp0CH/7t3+LkZERANbKyQ9/+ENs2rSpZJ9jvlbTq9V0NA1NN+ETBQAMLil3K0cUBWi6Zo1rLu57d2x4GqOTSefv9o0hu4R3dDKJIwNT2NRRh+Z6vhbzzfVu6BrfVomu6dA0A+ed3sRVaXPe6U2YnOZ7Immpc0HTDPAu7AkC5jS3m49pmpA5t0Rk0eq6qmk616qIpunQVL4tL03VFvU7k33idcArw+OSkFI09I/F8MNf9eTt+1GOM3BOnJzG4LiVRCwy5iQ/203/dNM6XPLY4BQ2tNdW3kOpZOeQKJqB+EQMLxwcwav9U9YLnLFYwZ87AGhp8KK7LYjuthC624POURF2ubyYOTy0Fp+jlczz0GpRcwHKM888g9tvv93pFLtx40bcfffdVFZcZuXs/fDC4dzW8vP1LHnh8Bg2ddShp3eK67o9vVNY38q3/D6ZSWQdHo/DLS982J1btg676x/jW2WzxzXXu9E3Wjioaa53g3d3Q2BAnZ/ve26Ps8/NKeT4UASxAhVNNt5x2WYn6wqZU5Jdsoh6MX/L+OyAxu+RIXmtoMuuPlpsIzP7zKHsjrs268whOGcOUYBisQMSw7SS5k9NJXFoYArHhqyE1pMcvXwEBnQ0+dHdHsoEJUH4PHLmMErmVOzJkgBZEiCJIiTROkm7hIdSVwyF8yDPWlFTAcqDDz6IO+64A5pmPRmef/75+N73vof6+vqVndgqUM7eD8UkhAJAIsXXoTORUhHl7OZpj7MPuxMYEE/NnZffI0ISrcPuJjk7ydrjUgrfM2pKMdEQ5Fslagi60VI/d58/H7vbazjGN+9wLA23i/MEZs5x2bKb/wFWpZFdjSSLwpzmf+U8A8c5cJHzzKHVKDsgUTUDJyfiONw/haPDEZwYjuBUpPBJ4LIoYF2r1Xm4uz2E9S0BuGTRWh3JHD4piwJkWYCU6SgtMAHATEBicKzCVCuq4qlSDzzwAP7f//t/ztL3W9/6Vnz1q1+Fy+Va4ZmtDsUc1DZbobLNDR0h/Oal4YJz2NBh5ba4OLPcXZKAFGfwY48L+GQYpjnvCkoyrcPvFRDwydB1zu2jzLjZr8znwxizklQ5+Dwy4gWSgG32uGJOYfZ7A3j6pcKng29aW891zWx28z9NNDA5mc5UE1k3QlkSEPTLOS3jF9PNmJdz5pBhQsgTocw+c2g1yA5IFNVA38kIDg9M4dhwBCdORriCf59bQldmZaS7PYiOJj9EQYDAGJhgHQIqyyIkceaICyC32o13u7MWUIBShZ5//nnccccdzg/qX/7lX+KOO+7gfsInpbGY3g88+QJtDXwVK/a4tkYPBieSBUZb4xrr/Ojpmyo4dl2my2pnS8CpUMrHMK1mSp0tAUQ4S5LtcQ0hzlWRkLtg5ZEtkdbR2uCFKDLo8zSuA6xeNYHMEQD2UQCF+L0yztvSBDxceOx5W5oKD5rFDgZPTaVmVRPBqSbye2Vn23Cx3Yx52GcO9Y9GoeqG1bgvkwSlGXPPHKpF2QFJMq3j2OAUDg9M49jwNHdCa53fhe72IDZ2hHD2aS3wytaRFYxZ2zWyaAUk1nbN3NWRVRSL5KUt8Dtci6o+QInFYvjkJz/pvAr9i7/4C3z2s59d4VmtXsW0MOfNF3jx1VNcn/vFV09hc2cjDM4GyQYEXHBGCx5/frDg2AvOsNrR94/GCnZzVDUD/aMxmJznGdvjmoJ8v45NQamoJNmQ3wW3JCKhzx8wuSQRIb+12hj0yhAyiYbzEQSGoFfGk/sGuObx5L4BXPe6jVxjbbODQWb/J3MgYXYwCJQ3Dyr7zKFoQoWelSUtMIagT55z5lC1yw5IInEVRwYmcXhgGseHpzEwFuO6WTbXe53cke72IBqCHmcFrK7eByWpWP11BAGiZCUfZ/9sr6bVER7USbbK/Nd//ZfThK25uRk33nijU1q8kPb2dspNKROeM0Jy8gX8LiTSOpJpDZIooN4vYyquOvkCSYXz3JnMON5mcC7Z6s/Cc6Cf3Tvn+PB0wT1uwzBxfHgaKmdCmz1ufw9fILa/5xRes4WvXD6ZUtHZEkCh+yZjcG70Ib8LHllEYoHzfjyyFdAcP8mZUJtnXKGtvdnBoOn8Z4YdDG5sD5X9DBz7AMVde/swOD5zgGKtdIfNDkhOTadxuD+MVwemcWw4UlxCa6a6Zn1rEEGvnDeZ1eOSsKbRj6mpmZ9/K/CkgGQhKm3xVJef/vSnztvj4+N45zvfyfVxX/rSl/D2t7+9XNNa1Xhagdv5AjCBwfF4zhK+wKztAztfgDfnzR4X8PLlHQW8LsQTCpiAggf6xROZ3ipm4adQMzMuxRlY2ePinMm98ZRaVL5KMWfxdLeFigpofB6+p5DZ43p6w3h4Tx/6R6PQMmcjrW8N4tqdMzf648PTMExzwVOYDdMKBje2h+Y9EsEwrfLM2UciLMZKH3JYSnZAohs6Tp5K4nDfJF7N9CCZmC6c0CqJDOtagtjQbpX8rmsNwOMS5ySzypIAUcjdrrGb7NECSXFWU4kxUOUBSjgcdlZPSGXg7UERS6hIpLS8SaqGaVXNeFxWNYwTHBRgj4txjo8lFESTKlcb+GjSCh48nNUoHpc4b/v82Rbzooj3ed0EEOU8iyea6dI5OBazGpEtEBgIghX4bO1qxN4/jc0dNMvWrpnHvqc3jO/97yuIZR16mFaBnr5JDIxF8cE/OwtbuxvBTDjbOXm/NjPThyRrwNbuRly6vQO79vQhnJg5EsHrlnDp9o6SrHJU6ynCdkCiGTr6RmI43D+JVwesgIQnodXjEnP6j3Q0+eGSREpmXUaUJFtFGhsbcfjw4ZWeBskopgeF1yM5SXXzVW2mFR1ej7TgVkM2e5xS4GZsU1QdHjdnwJEZF+Hs5xFJafC7RUxxJMr6M9fmPaZIFgG3zJdn45YFRDiDsEhyppTarpjJx8zkfsQSKvycnXXtcYZp4sePHc4JTrLFkhp+/Nhh/PMHLsaGjmBOcJK9SOEkTQLY0DGzZdPTG8bTB4YhCLCOA8js36VVHU8fGEZXa7Dqt2J42QGJomk4OhjBq/2TeHVwGr0nI0hyJLSG/K6s/JEQWhu9ToUNJbOuDNriIWQRiu1BMXIqntNwLTtIyf73kVNx1HM2GrPH2a/eCpFEhleO8eV9vHLsFM4/rQUHDvO1xj9weBydLX5M9U4XHNvZYrWBTqT5nnwSaYP7OPm+kQg2dtTzXTcToGQHj/Oxg8cX/1h49QSY+f6dOBnBWKYr8HyB6dhkEidORsCYkNO1N99NTxBg7cEh92fQSsac+Qw+jzRvHxSeLclqYAck8ZSCVwemcbh/EkcHp9GX2UYrpKnOk9MQrTHkhiha2zOyZP0eUzLryqIqHkIWodgeFLObmM33azcZTSPg48wpyYxLcK5y8I6zxlo3b94lVk03ULjQ2ZLMrPgonG33FU3HSLhwjgAAjIRTqA/yjQ1HrXHZweN87OCx0NaRzR73wqExrmu/cGgM27ob4XVJSKS0vB/DAOv9ycX3QSlHW/zlYgckU7EUDvVN4fCAFZAMT8QL5m0xBnSs8aO7LYiu9hA2tAUR9LvydGa1/uR0ZqVk1hVDOSiELMLsHhSKqs8cFiiLc3pQNIY8EDI5DvPdfBizxh3hPETPPq8nybkllExr3C3Yx6asm3dj0I3ekVjB8Y1BNw73T3Jde2TCanVfTDKwzNmMTpYEmJwXtscV0wHXzbkvZY8rJqAJ+GSuXJjF9kEpV1v8crG/D2NTiUxAMoWjg9MYnyocClsJrQEnf6SrNQivWyqYzArUdmfWakNlxoQsgt2DIp60kl+zf5FkSYDPLeX0oNixrRX/9dhhpOYpxTUBuCUBO7a1YvfLQ1xzsHvh8N0CrXHF5H0AwM4zW/DikcLbQjvPbMHB3jDfPDI3ABEAT7gkAmht9OAox5k5rY0ep2KiEHtcQ5Bvxaoh6ELbGi+ePlA4UX3bhgYAwMasrsDzbe3Z4zpbAjAME4Zp3WBnlw1rugnDMBfVB6WcbfFLhWUqkAbHoujpm8KrmXNspuOFk8A9LnGmQ2tbCOtaAlZ7eEpmrWqUg0LIIqxvDSLoc6F/NAoAOZ027TNU1rcGnR4UAmOoC7iRmpz/1V9dwA2BsaJyMwBgKsK3uTIVScLj5stviWaSOnk61NrjeF952uOKCaxUje/aqlbcuT0AYObNDpnLBMPBE3yrRAdPTOKCLW246Mw2/OTxV53ANN9X4ZEFXHRmm1NNJAoMhmlCYIAABgMmjExrebuaqLutuD4o5WyLv1iMWTkGx09O41DfFI5k2sbzrAiGfDK62qz8kQ0dQbSt8UMSBEpmrTFUxUNIHlyJhJlnO5YZb/2dzTRCy3o2tFuGh3wyYkk1bx8UVTfQPxotqmsqACQ5D91LKiYY49viSWd6lUzF+PI5pmKpgr1EbPY4kzNCMXVgeKLwqceANe7sTXxt5n2Z/jFTnFs8U9F00WcZSYKA6163Af/z9LG8W1oCA6573QZIgoBYQoXAGBrr3IjGrcoiPRPSuCQRQb8MRTGcLZtizoMqdktysRb6vWHM+r4cHZrCocwKSe9IlGsZv6nO41TXbGgPYk2dx1oVoWTWmkYBCiGz2ImEC3XP7B+NIppUEfDKiCdVZ9sCsF75BrwyoknVeUVq3yDqgm40BN2IpzTn2n6PBANAJKYgllDBWZTjjGOcCXwMJjh7qTnjFM6VC0UzIUsi0hyJr7JkbUe4XAKSSuEnIJdLgMqZy6GqetHN1Oo5V1zqg268cpyvCiqcdZLtWy7qAgA8vLsXybSe1atExLWXdDvvt7dsJEFAS4M3Z3lbFgUrYBHNnNb1vOdBFbsluRjZCbgwreqolgYvNraHMB1T8OrgVKaJ3sLXYQxozyS0bmgLorsjhDq/m5JZVyHeldNaQQEKWVBPb9g5f8SwM1oZcLhfxfBEHH9z7TZs7W5ELKEirVhbOaYJJwHWTuxLpjUYhui8Ip2dLzD7gDpN1WfyBTjnao+r87uQmiq8ClDnd0E3TcQ5FkW8buuVdldrEHteGS04vqs1iJ5evpu3JFmRVX1ARjJceN71ARmyJAEoPNbtktA/EuWaR/9IFOdtbl64rW4208g5k2Yhs8e95aIuXHHhOuw/OIpwJIXGkAc7trVaW4MZ2Vs29QEX3JncCU03YBjzt67n6fZa7JZksQ71hfGz3xyFquvwuiWkFB0TUykMjcfx0qsTC36sJDJ0ZhJarS6tQfg8MiWzEmi6AdM0V81BuBSgkHkZpon7nj6G6ZiS+zrMtI6Xn44puO/pY/jszQ3weyWkVd2p05+9x239u+407JqdL6BqhrPELktCzs0nrfI98drjiqksaV3jw8T0wjcMANjQbuUh+D181/Z7RBicPQvscUnOiqJkSkPb2iD6xwpv86yp82Iqxrllkxl3jCP51h7nkvmeQvKNkwQBl5zVPu/HZG/ZTEbTcLtESIIAzTCsPizuJbauz9qSNGGCzcTfc7YkuS4HE8MTCRzqn8Rj+/oxFUtz9a1wyzMJrRs7Mi3jZZGSWUlemm5ClihAIatc70gUg2Ox3G6eyG2kNjgWQ+9IFADj6lZqJ2DaN5/vP3wQQ+NxGIbp3BwEwTod1r75NAZdOHkqUXC+jZnqk2LawLc2eLnG2uMSKb6tlURKRzzNN9YeF0nyjY8kdYT8fL+6Ib8Ej8TZLTczbmii8PfaHve6c9rR0zdVcOxF21q5rjlbTuv6ab7W9Ty9TewtyYag29niMTLXdskifB4pZ0syH90wrJbxA5M43D+Fo0PTXL11BAaIAsPOs9qw/bRmdKzxwy0LlMxKuGi6wd1moNpRgLJK8SS9Hh+acnJJ7PeYs97WDRPHh6bQ3ODjOpAuOuucnFRay8pXmblmKqtyoZicCACIJzkP3UuqXCWbAJxxdjOzQsLRVHGREorrg1Lv5ysFrve7uJf+XbL1yHo5c1a8HgkdTX6usfnG8fwM2q3rRZFhTZ0HoihA1415W9fz9jaxc6BCARcCXhlK1gqeSxJgYiYHyqaoOo4NR3Aoc4bNieEIFI6EVlFgcLtEeN0SAj4ZXpcIXTexY2srtqxroGRWUpRESoPXvTpu3avjqyQ5eLtnhiMzWwPZT5eznzrDkTR3V9a+kxGcu6kJhmninscOzdsHJaUauOexQ/iXD+zkOsgMgDOOt1eAqhs4McyXn2GPK6bCJWe5aSGLWK1ljO8VFGMChk8VbiwHAMOnrBLqDa0BvHyscA+XDa2BzOpZYb0jUWxeW+/83TrNuBdDE3FomglJYljb5Me1O7udn8HZvUoEgTk5KF733Nb1xfQ2mZ0DNXtb0NANeD0SRiYTeOXXYbw6MIX+sVjBYI8BaKzzIJZQEPDKqA964PNIkETBysuCdYNJKtY5RqLIKJmVcLF/nqfiaayp86zwbJYHBSirTDHdMxtCnP0zQu6cFY+F2C+Qe09OY2xy4dWIsckUek9Ow8O532qPK6Ysmbczoz2umABFEvhOKl7Mau36Nr7kzfVtQfSN8gUR9gpYY4jvya8x5OFaQQCQs0eRnXjt/KsKvDowje+fOugkXhfbq6SY8bNzoCTRehBUzUAirSEaV6BoBv77iSMLflmiwNDZHEB3exAb20PY0B5CwO/C/zx9FONTKfjcInTDRCKlQtEM6LqBqZiCzmY/1rUsLgGXrE52v8VIjG/VtxZQgFJDNMNYsCqi2O6ZGzvquD7vxo46jJzi68th3/x+f4jv0L3fHxpHmDMosMfFORu7xdMG6gN8wY+dlJbiLO9NqTo4h3KPyzZ7q2yhccU0XgOAl4/zdcB9+XgY52xq4BrrzmwfGaaJ+35zFNNxxck3sheaDMPEdFzBfb85is++78KiW9cX09uEAbjkrDY89FwvwpE00qrOFaxaCa0BbGgLYUNHyKmwkTJBjpxJZn392e34z0cOYTSsL9iPhRBe9vP1NOfvfi2gAKVGPLqvD7v29CGZ1pw8kXufPIJrdnY5fSWKfUVaTD+RNQ18r7rtcQnOFZdEWsNJzoPx7HG82/emaTcnK9wd1m5iVsxZMsXklBTr4Am+EuaDJ05B4zyE0B5XzGPT01f4tGYA6OmbxuvPXYe+kQiGJuJgsFYf7J9DButQYt0wMTQRR99IpKjW9UBub5N4Us0JODwuAX6PC6LI8Kt9ffiPXx5EjCNXye+VsaE9iA3tIWxsD2F9SwBut5RpisYgCrm9R+z/b1nfgPdy9GMhhJf9lM27ilsLKECpAY/u68PPnzkO3TAhCczJfYinNPz8meMArL4Txb4iPc5Zbnp8KIITnLkIz750Emd0NhaVyMq7P2+PKyb1I+jla8Rljyt2S6hchjhb7g9NJLG22cc11i4BX9fi56rMWdfix/Fhvp+RiWlrvseHItANMyc4sTHGIAh24nUEb3pNJ3fremCmt0nfSBSiAOdjDMNEMm0gkbYC2OzcqtlCfhmb19ZhQ0cImzrq0LHGZ60wiiJE5zwgvt4jPP1YCOFl//xHOBP7awEFKFVOMwzs2tMH3TAhZx+oxgCZAapuYteePlxx4bo5r0hnL4HPfkUa5uyfEY6lMRbm2+KxxxV3Gi/fCoA9rpjimeZ6vmoYe1wxJyWXUzGrIo2cVVD2uE7O3IjOliCGOUuSPS7rqcbMVw6WzV6JYLNb11snJ2dX8XhcM31QYkkVRwanMB1PO311CjWRYwBaG33obg+iMehGS4MXHc1+dDYH4JJEiMLSe48IjC3bWT6kttlP7byVh7WAApQqt//gKJJpDdI8r0glwbpZ7j84iovPbENbow99J6PQDCOniZSUaSne1T7TPbMhyLdt0xD0IMJZaWOPc8t8AYpbFpDm/H3kHZftleN8h929cnwSN16GeauOZkupBiQR4IkjONuULNqLBTqXZo+74U2nI8S5qhTyykW30d/YUQdRYNANE0KeCEXPHAJo5z9l90E5lZjpg+LzSDhtbR1eeHUc//3kEQxxnk0kMOC805tx7qY12NxZj3A0hT1/GsWrg1N4+XgYumFgTciDt+xYT9swpKLYK29TqyhJdnV0e6lh4Yj1pD1vHmSmtDEcSUFgDGdtaERK1ZFWDWvfP7MjlFYNpFQdZ21odH4RNnbwvfLb2BFyXm0WYo9ra+Tbdmhr9IGzopZ7XLYo51aTPa6ILvBFnyFUDK+bL6rxukVMc66E2eNiKa1gWi3LjNM5u+Xa47rbgljbHABglXnbpyeY5kx5+NrmALozVUo9vWH85qUhCIJ1unXQK0MUBcSSGp57ZQRPvTi0YHAiCoDHJaIx5MbaZh/a1vixfXMTXn9uB6JxBT/99VG8cnwC8aRm/a6YQN9oDPc8dhg9vXzJwoQsB/v1ZyS+enJQKECpco0hj3Uzme8+YWZ6M4Q8MEwTr5wIw+0S4HaJVuVE5gbhdolwu0S8ciJcsOFaPnaZJu+4ac4Vl+mEWlRTsmIV0xYfsG54PERh5gmlkMWkJKzl3IZZ2xIs+rHxe+WC22RmZtwazlJ0e5zAGG68dBPq/C4IjEE3rNJb3TAgMIY6vwvveMNG9I1E8dj+fty9qwenImlEExomo2lEEuq8+T0u2Tqjxu8W0VzvwboWP9Y2B7AmZJ30G42rGJ9KIqlYzQH/97kTiMTTqPO74ZJFCMza6qwPuJBSdOza27eo34XlYpgmekcieOX4KfSORCp6rmTpWOZlw3RcWTWN/GiLp8rt2NaKe588gnhKg8wwJ5FQM0z4PRJ2bGt1qnjq/G7IkjCne6aqGTlVPCdO8iVAnjgZQXdHEIMc+QjdHdaNtT7A2R024Eb7GhdORQsva7avKT5AMTjzW+xxvKed6wbAmyeb4ovVcrhFvicot2iiqzWAP3FU23S1WisbxZQwd2RWQwrJHre1uxF/c+0254RsVdMhiQICXhkel4i7fvEK0krhx0UQGNyygNed044Lz2gBGPDjRw8jrRgwTBOTMSWTZ2UFgZpuONtHxVa0VRreZoukdtg/pppuQtEM7hdX1YxWUKqcJAi4ZmcXRIFB1U0YhgnDtP6v6tZ+/jU7uyAJwkwVT6a6wS1b7bfdsmjlq0gCdN10qniKaXg2k/1YaLA1rpgclIO9fJ1QecdlC0f4klntcUV2ry+bPxyf4h7X3sQXRNjjhsb5vo9D4zGc5Ox/kz0unlKR1gysbw2izu9CWjUQTag4eSqBEyej8wYnArO2a+oCMtoavVjb5ENbow/nn9aM0zrrsbG9DqIgYGIqiVPTKcQSKhTVgKYb1qqLObN9lP27kM/s34VKYjdbHByPwS2LCGVOerabLdLWVG3KjqN5AvhaQCsoNcDuc+L0Qcls6/g9Uk4flGL7Svg4z3vwuSX0j/KtttjjXjjM16jthcPj4C3YXUxhbzmvXU7FVPHw9PsA4IzjffJLKzr3se9D43H81+OH8erANIbGYwUDOEFgaKn3YDquwOOS4HeLECQBumZC0XUkUhpSigbDtLZ2TNPaPrpoawsGRqN5e+EwBly0tQUCY0X/LlSKYpstktoiigy6bkLh/P2vdhSg1Ii3XNSFKy5ct2An2dntvQv1lSimR0iMc1vAHncqwtd8jXfcchHAF6zY3/VixhZD4syslURr+46HPS7g5XtaCHgltDT48JuX5r5PYAwCs3KcrNynSeDE/BVTsiigqy2ITWtDOK2zHps76zAZS+N7D76MlKJjOm5A0XXAZFa/GxPOCqHdAdfOsfK4RehGpheNaQKMQZas/JRXToTx5h3ri/5dqBTVvjVFlkYWBei6jhTnSenVjrZ4VhG7r4THJWLK3p83TSiqjqmYMqcFd4TzlXckqcLgbKdujytmdaaSyJzTkaXyrs7EUnxPULGUXvS2VDEHALY2WqcUC4xlmq9Z7zMy+U/zJW56XCLq/C401XmwriWAjZ1BtDZ6ccGWFrxmSzNCPheiMQXxpGZ1hk1rMAyrGZ9pApphQmBW8nIi83OanWPV2uBFY9CNkN+FxqD19zq/y7l5F/u7UCmqeWuKLJ2dyM575Ea1q6xnf7Joj+7rw8O7e5FM606viP9+4lVce0m3s8UDWAmKN3O24B7gPGRuYDRadJnxeaetwTGOk4TPO20NTgxHy7YSIQsAT2sTO2VGlgSkObJfecctlsLZj0VRDUQ5yxLtcTwJyQJjODYcxdd/egBA5qDBBSKhoE/GaZ31OK2zDn6PjL09I0ikVMiSVU0Wi2s4ORHGkcFp58DKgE92qstmt66XJat1PRicbRj75q0LBiaj6ZzxsaSKkE/OuXkX87tQKap1a4qUhtslIpZUubdtqx0FKDXg0X19uP/pY7kdLwEk0jruf/oYAMwJUnhacB8Z4Dtn5cjANGSRL6PcHjc+zXfTHJ9Og3H2rl/Mi13O+7wzLs35AbzjFksSAJ5UEUkABsb5ElntcWuCLpycVZFl98uxO7sbponkAsvMdmWYxyXB5xXxt287E+tbgzBME3f+zx8xNB5Dnd/tBFqSJKA+4MrJobC3YXpHogCzGhFmdmwAxpBSdXS3zTQWDPhkGKaJU5EUTDCI9qRNQNEMnIqk4PPIOTfvamtHX61bU6Q0vC7r+XMyWllb3+VCWzxVTjMMPPjsiXkPyDNN4MFnT0Cb1fbbbsF91sY16G4L5X1CVjlralXdQGOQL9a1x01M8bVIn5hKgLMXGPe4pSjnCcXFcHG+QHbJgMl5GqFpmJiKpdEYdIOxmePdAevnaKHLiCKDzyOhMehGW6MPTXUeeFwSFE3HWDiJ5kav1QRtJIqBsRh8busLSKs6kmnNOYQxO4fCbiyYVvRMQi4gilaAYv9bdmPBzpYADMOEnmmSZ8cnjFl/1w3r7JzOltyqJp7fhUpRrVtTpDQaMv2E+kaKr1isRhSgVLl9fxopeDCdqhnY96eRoq/dwHmGS0PQDRfnHdMel9b4bpq841Ybw+T71TVMgesEZsaAqYSKj9/1HH77x9GCAYksCThjfT3etL0drWt8qA+4IYkC4mkNY5MJjE0mMRVLI5HSoOkmHtvTB2BmG0YzDIxNJjE+mcTEdArjk0mMTSahGYazDeM0FpRFuDOVOkYm79UtC/DIuY0FB8diEAQrF0Y3rfwXM/N/u4W+IDAMjlX3k7u9NdXZ7Eda1RGJKUirOjqb/c72GKlNzfVeAEBPX3hVNGujLZ4q99IRvnLdl46M47VndxR17bM2rrGqLzjGPXtgkOua45PWyklHow9HBwuXJnc0+nBsMMJ9OvFqIYt89USyKCCVZy8o+8w+wLrpz/d8xxjgkkS4ZREuWYAgMKiaga72IMYnExg9VXg1zD7t2t6GCU+nYcK0qn0y81A0HeFpAz6PhIBPnkl6DbjgkkWomg57z0aWrMMusytWYgkVAmNorHMjGrdyVozMR7gkEUG/DEUxaiKBtNq2pkhptDZ4IYkM41MpHBuexua19Ss9pbKiFZQqNzHFtxfJOy7bBs6zeDZ0hDDNuSdqj1N1vj0QVdfB2y9xOfoqVspceEuBZUmAYc4N3kzMn9bj90hOlU1zvRdr6jzwuEWouoFwNI2xySQmo2m0N/q4T21WM30bZrZhTIiMQcjklgjMyhnRDdPZhpldseKSRfg8kpMcOrtixU4glQQBLQ1eNDd40VTnQXODFy0NXkiCkDeBtFpbxlfT1hQpDY9bws4z2wAAv3yud2UnswxoBaXKxZKc/Uc4x2UbmeBbCh+ZiIH3gE173J84VmbscXy3QHCPqwW896KJSOEHRhQY3C4RDQEXbnvHuXjp1THs2tOPlKIjklDmXVkJR1IY5uw6a4+b2YaxcoZEwElk1U3rDCN7G6bYipXsBNL6THdV23wJpOVuGW+YJq1ykJLRNAN1ARcYA14+HsYfj03gnE1NKz2tsqEApdqVsff6C69ydnvlHJctkeILJ3jHLRfe3NdydymIJRf/fZFEAW6XAJckQhQYNMNKslQ1BS31XgyMxbjKGCemU4gm+L5Se5y9DbMm5EEkoULRDCvZhVlVPyGfjLRqbcNs29BYVMWKnUB6z2OHMRVT4PdIkCQBmmYgntLmJJDaLeNTiga/R4bktcbaLeOXms9B5+WQcmgIunHG+gb09E3iPx85hH/664vg89RmWTlt8VQ5nXM5mndctiMDUyUdl423RUgZW4lUtekEf4DicYkIeGU0hjxYU+eGzyNB101Mx9KYmE5hKmolsyYyu3TzNQGbTZKEYo9gmlkVmScDV8vcyAM+OX/FirFwxQpvAunslvGlPs2Yzssh5bT9tDUI+WVMxRT89NdHV3o6ZUMrKFVO46xn5R2XLanwPTnzjiOls2BCqyzCLQkQJQHMMOF2iZiIpAuuithN9FycbfRdIoNb4juN2W4IvL41iKDPhf5ME0BJEKx6ZtMqOU6rOta3zvQ2yW6mNhpOIJnWITAs2EyNJ4G0nC3j6bwcUm6SKGDnmW14bP8AfvfySZx3WhPOO715padVchSgVDkKImpDoVLx+QgCg1u2tmsEkUHXDaiatf2hZ1Yp2ho8XNf3uq2cjVMRviZ6pyJprAl5MXQqWXDsmpB35i+Z6MpKPTHBMk1onX58s6IvO+AYmogDgggYOtY2+Re8udsJpPNxEnC987eMT6S0RVX8VOp5OZQPU1taGrzY2mVt9dy96yA+23Qh2hp9Kz2tkqIApYLxPKFU62m8JNdHvvlbrnHW4X8i5EzvfTsgmS+ZlQEwDL7VM3tcJMYXoERiaWzoCHEFKHZFWP9oFNGkioagG4mUllsKnKnSiSbVst+8y9kyvpzBz2JRPkxtOu/0JoQjKYxOJvHN+/+A//eXr0HI71rpaZUMBSgVip5QVpf5VjhkSYBLEqx8DxPQdAOKakCAjli68KqY382KOlgQQFGJ12ubAwBGCw61xs3cvEMBFwJeGYpmwDBMpzW+CSASU3Ju3vbvwmg4AcO0doRal/i7UM6W8ZV2Xk65k4HJyhEFhtef245H9vZjbDKJf7v/D/jku7bXTNIsJclWIEqwW71csoCAV0bILyPokyEKDMm0humYgkhcyXRmzX/jy3890aqU4WCPS6l8CbgpVcNklG+1xR6XffNmjMEti/C6JbhlEYyxOTfv7N8FIVMOLQgMg+OxJf0ulLNlvB38xFPanG6fdvDT1uhblvNyyp0MTFae1y3higs64ZZF9I1E8a8/PVAzhwlSgFJh6All9WAMcMsiAj4Zd7z3Avg8EkzTOnk3ElcRTahIKXrelvPFrIrInEmvM+N4b8oMkQRfAxx7XDE3b/t3IZZQkVZ0hCNpjE8mEY6kkVZ0xBPqkn4XytUyvpLOyykmH4ZUr5DflRuk3PsSIvHie19VGtriqTDZTyiAVdmQvQS+Ugl2ZOkEgVnVNaLV3F3TTaiagbSqY2NHqMieL/z7MAJnwGG/WpE5V2fkzBk5POxxxfQq6R2JYGAshrSqWacTCwyMWTm0qm5C0zUMjMWW9LtQrpbx2dVHI+EEEikNosgWrD4qh0rMhyHl0Rhy4807OvHk84MYGIvhq//9Ij75f85DfcA9b9VfpaMApcI4h6mJBiYn01A1w6lwkCUBQb+c096bLJ8Hfnu8qPFiJqHVutlZwUhK1WHmORunWPY1ecYxQQBP6zhrHLB5bQi9HKelbl4bgtfDl5AX8nuct3lv3pG4gkRag2FmVncYwMAAZkISGFTdRDKtLfmVYqGKn8WqhPNyKi0fhpRXfcCNN+9YhyeeH8TwqQQ+e/d+vPnCTrzttRuqMkihAKXCFHOYGlleD+/uXfD9sihAlgSAWdsVqmZyn1VTLIHxPdsIzFp94xqbGefz8gUdPq8LqTRfoJxWcsfx3LxjSRVm5sweIHOgIWZKlEXGYBhm3v32SimpLVfww6ucycCkMjXWefAP778QX/nvl3BqOoXf/uEkLtzaitaG6itBpgClwmQfpiaLzHlCYZk/qj5zmBpZWS5JgCRmyn0NA6puQi1TQDKbKErgOX1IFCX4XCIiHJ1nfS7rFbbIeSMXGSuqZ8pshW7eQa+VN6GbJjRtbkDGmHWNoDc3WKcKuBnFtv8n1U/TjMzp9a146oVhTEyn8E/3/B4fefvZ2LK+YaWnVxRKkq0wsw9TMzNNrMw8h6mR5cMYcPbGRnjdErwuEbLIoGgGEmkNibSGtGqVyy6Xpjo39ziRM0nWHremzlMwa4Vlxski31NIvnGFThEO+l1wycK8S9OmaVU9BbP6PlAF3FzlSgYmlUsSBdT53XjLRevQVOdBPKXhaz89gEf391dVgQWtoFSY2YepqZrhpBrMPkyNlI8gMMiiAIExGKYJTdfxdzdux/u//NRKTw2A1er9xEica9zwqQTXNT2ZfvQXbG3BD3/VA3OB6mQmWONiCQV7D44VvHZ3W+4WAs8qR2dLwHllPzvjxv67wJizmkgt5udXCfkwZPl53RKuvLATz708gv7RGO576ij+eHQCt1yzFWvqvIUvsMJoBaXC2EltoiigpcGLoE+GxyUi6JPR0uCFKAolSWor9Oq1WqWUxW2xiJkeGx6XaL1qN0ykVR1JRUNa1aFXWCve+hDfk0t9yIuOJr7tQHvc8Hi84MqILAoYHo/D7+X7Ocwex7vKkb2aCGZ10bX/gM1dTaSS2oXZW2pnbVyD7rYQBSerhCQKeMO57bh4WwtEkeFQ/xQ+/e97cd9vjiLOc5DWCqIVlApjJ7UdG4pAUfWcV43TMQUuWcSmtaElJbXZr14Hx+PQdAOSKCx7+WO5fOTfnuUaJ4sChMyWhq4b0HQTegmqa5ZLmjPXJZ3WuINPe1wkrkDVF/4YVTcRiSvwuPlKku1xxaxy5F1NzHDL4pzVxOUqqa2UBFxCeDHGcNq6erQ2+rCvZwwjpxJ4dF8/nv3DMN722m686bxOK8G/wlCAUmEExtBc78HB3sk57zNh9UVprvcs+gmxpzeM7z98EJF47tkthxIKhifi+Jtrt1V1kDLfzdiVqWAwYULTDKi6wVN5W7FORVLc4yam+RJZB8esLaNYUimYT2NVzyh44fA417V3vzyC15zeWtQqR/ZqYmujD6qmw97ckSURiqpDNExnNXE5SmopAZdUs5DfhStesxYDYzEcOHIK03EFP/31UTz5+0G8/Y0bsWNra0UF25UXMq1ymmHg2T+eXHDMs388Cc0ofs/BME3c9/QxTMUUGHbybeaPYQJTMQX3PX2s6rd7GLOSJ12y4GxVKJmGaIpq5O3MWm2SnEuzyZQKReWLxOxxiSTf6kwiqeEkZ36LPc5Z5ci8WlNUHam05nxuSRKcPj/ZXWcNXUcipSGSsNr9G7o+p2V8uVvMUwIuqQWMMaxvDeLa13Zh55mt8LpFTEyn8B8PHcQ/3fN7HOqfRKXEKBSgVJjdL59EodjDMKxxxeodiWJgbOH994GxKHpHqmuPXsic6eKSBPzDX10I0wQU1TpUT6205JESiaf4vq54yuA+3dQeV8wJ2bxPZPY4e5UjnlQxGk5gbDKJiekUxiaTGA0nEE+oziqHXSKrqBoGxhOYyhwiOBVTMDCegKJqOSWy5WwxT0dQlI5hmjhxMoIXD43hxMnayX8rt+zntVL80TQT61uDuPriLpy9sRGSyNA7EsVX//sl/L//2IuhiZWvFKUtngrz9IEh7nFvOHdtUdc+NjSVE/xkP03bTxGGYY3b2F65bfRFwVr2N00Tmm7AMK2EVgCrpuFUkjMZOKloOGdzIw4PTBcce/q6OgBAijO/JZXWsHaNDydPJQuOXbvGahK1vjWIoM/lJKpKguCU5KRVHWlVx/rWoPM47j80ipSSP2RKKQb2HxrN2VopV4v5Yram6AiK+ZXjZOrVRF/EynkhjAFb1tejqy2Inr5JHB+O4OSpBD73g/143TntuP51G9EQ5GtrUGoUoFSYYpfjizGZ1Sxr9mvI7DLOSc7mW4v1s6eOFDVeEgUIgtU1VNMN6IYJ3ajiBJISKKY7rCjwLZTyjstW7GnGAGAnP1k/cyZYZrvR+RnMvF/R9TnbnbPLjZ/940m8+8rT4RJnck7KUVJLZ9osnb1FllI0BLwyPC4JKUVztsioJ8vCGLPKhsvF65ZwyVltOGtDI146MoH+0Rie/cNJ7PvTKN68Yx3eelFXWT9/PrTFU2FOW1tX0nHZGkNzo+B8i6v5xpXSY/sHFny/S7LyR+ybsKYbUFQdWo1u1ywG53l+kEWgo5mvxTXvuGzxNF+gaI/rH40imlTRELS2SewGhFbTNRENQTeiSRX9o1E8uqfPWfFjyGwTMev/dqhhGMCje/rmfL5Sl9RmJ+DmQ2faLCzvFplAW2SVKOR34fILOnHHe1+D0zrroGgGHt7dh0//+x78+oXBZX0epgClwtxwxWklHZdt49p6iJmbvp0cO/ttUWDYuLa+6Gsvlp3QKksC7EUBRbP2SJezM2u1Kaa8d+8ro1xj7XFd7SGuTrJd7SEEvHyvqOxx9kqE32v19Wlu8KKpzoPmBi9aGrzwe2cOwxyfKrx1BIB73FKUOwG31lGPmuqiaQaODU/jNVua8MbzOtDW6EMsqeInT7yKz/1gP/504tSyJNJSgFJhTo5zVkVwjsvW3RZEU51nwTFNdZ45XT9LSWAMF5zRAlkUrOX6TOKXqtVGdc1ycUt8gYFbkhDm3Iaxx9X5XQWXcr1uCXV+F84/vYnr2va47JUIlklu9roluGURjLGclYjm+plmdPZxD86frGtnjyuXcibgrgazq7dmy67eIpVBEgXIkoj1LQG8cXs7LjijGW6XiJFwAl//2R/wuR/sQ5iz3cFiUYCyzAp1cN1/cITrOrzjZjPzburwv79YosDgkgWr+yesr/9D158FVTdK/JlWF95tuMaQ2znQsBB73PrWILrbg1bQMGsMg9UkrbvdSmQ9bR1fzoA9rpiViLfs7EKhtBhBAN6ys4trDktFZ9osHm2RVTeXLGJrVwOuf103ztxgHRUxMBbHP/zoeRzun9uzq1QoSXYZ8TR5enVgiutavOOy9Y1EEC6QABuOpNE3EkFz/eKO5rYSWpFJaDUzCa0UipTa7GXyhcZ1twVxdChScKy9cpZ9Am5K0SAwBtM0wTLnEnlckrNawBiDwLDg6pfAZuZbzOm6LlHEWRsa8cdj8/cXOWtDY06CrK1c3V7pTJvFsQPTwfE45EzTRJsdmHY2+2mLrMK5ZBHnn96MrtYA9h4cQziSxtd+egB/fe1WXHxm27wHey4WBSjLJDuD3SWJkGQGwwQGx2M5GexTMb7leN5x2Y4PRaAVaGGu6Sbu/J+XMR1XuK5pPdkAhm5Cy1TZVHOH1qpRRAOSFs4tkOxxs8t1dd2qCOpozC3XjSeUuaU1c+aQGTfPtecrBbYOaTQhS0JOm3ubLAnQdBOGaeYECOXu9mon4BJ+swPTgFeCwBgUVUcsqdEWWZVpDHnx5gvX4bmXRzAwFsPdD/dgJJzA9a/fWNIghQKUZWBnsMcSKnTDQCypWRvpjEEWGXTNnDl/JM7Xg4J3XM48ODdV5gtOGLNuCjDhrIzku3GQ8lNUvu+7ohro7uC7mc4ex7NaEE2qXI0Fo8nc3AKea9uJlU11HsiSgEhcgW6YEAWGkN8FVTPm9B7JfiHg98iQvNbqDJWyrrzswHQ0nEAyrUNgqJlzwFYLSRLwxnM7AABv3rEOX7/3AP7UO4n+zKGd2THmUoMVClCWQf9oFANjMaQULXcp3DSRNkyozMDAWAz9o1HuxYfFLFIcHy68zJ9NyAQkJma2bHhvjKS8utsC2POnwtU53W0BjE3yJVSPTSaweVYFV6HVAp+H7ykk37hC187uPcIYQ33QyqfRdAOmObf3SDEHEdIr9ZVhB6ZDE3FAEAFDx9omPz0eVUTTDDy2v9/5u8tlbbEOjsXw+PMz/y6JAi47v3NJQQolyS6DSFyxzhPJeqCyfx0NE4inNEQ4t1UWa9/BsQXfLwoMblnAlReuwz//zUUwTCBtt0UusDVEltfmznquUuDNnfUF845svOOy9XMei8A7LluxiZVUylodBMawoT2E889owYb2pfeoIctPEgVMxxTsfnkEB16dAGDlGYmCAFEQ4HFJuPw1SwtOAFpBWRbZp8Nm/yrab9srFLGkUnA7f/bHLoUkznQZ1Q3D2c/vag2gfY2/BJ+BFKM5JGI8UnhtrDkkYl1rEG5ZQGqBFS23LGBdaxDDnAf6NYQWLkHPp5hk3WIVm1hJ3V4JKR9NN3BqOoWxqRSGJ+IYm5zpP3TeaU34wNu25ZwiXoqu/BSgLIPs02Htlt7Zf88exxtwmgD+6/HDRc2jY40Pk9E0TACqZgUkmj5zQ2TMenUT9FKpXyls31SHA8cKn4GzfZPVFbg+6MN4pPCr+/qgD4NjMciyCGWe/jECA2RZxOBYDO2NfEmyvOOyranzgLGF95oZs8YVq9jEyuwVF1eeVrtUykoIv2Raw/hUEmOTKYxPJRGOpHJ3AZhV+bdlXT3qg2787uWTS97Sma2mAhTDMPDggw/iF7/4BQ4fPoxEIoHm5macf/75eNe73oULL7xwZSY269yUeR8/zvNVbE+9OP/BggyALFvLbaZpJbP+9du24d/u+wMSmR4UVldZK2Syy0h9HglBztNvycKuvmQTDhx7kWscAAR8fN/3gM+FWEKFwBjW1HsQiSlQNcMJfmVJQCjggqIYzmqBp8Bqi0cWkEgVn9m0Y1sr7n3yCOKp+ZO2fW4JO7a1Fn1toLjESiplJaR4umFgOqZgKqZgMprGVDSNyVgayTzHWHjdIprrvWhr9OGdl21G46xVVyoznkc0GsWHPvQh7N+/P+ffh4eHMTw8jF27duF973sfPvOZzyz73DZ21EESGTTdnLOFY/9dEhk2dhR/vo7NSmi1zrcwYULN5I4AMzel9a1BrGsJoHckCt0woWkGTLBMMCNCFBjWtQToCbxEuttDEAW2YB8YUWDozpwczRsYBv0uZ7VAEgS0NvqslRTDtM43yZTl6qLprBb4vDJk2UA8qea8ChIY4PfKkCVhUSsLkiDgmp1d+PkzxzMVNjPv0w3r67tmZ5d1avEi8SZWFtNjhZDVKJnWEI6kEI4qViASTSOSUOYNLOoDLrQ2+vDG7R3YvLYOTXUeJ/C3uzqXU00EKKZp4vbbb3eCk9e97nV497vfjaamJvT09OD73/8+hoaG8KMf/QiNjY34wAc+sKzz624LYm1zAP0j0TmrJ/bfA14ZD/72OPc1RYHhwq0t+OOxU5l28dZR9QvJfgJPpjVrKyfrqHuvW6In8ALWNsoYChfOYVjbKGNwLAafR0J0gZwHn0fC4FgM3W0hNAY4u8MG3DmrBfUBF9xZWxr5VgvssR1NPiQVA5puQBIFeF0CIomlnSPzlousTq679vQhmdaclRy/R8I1O7uc9y+FnVjZ0ODH5GR83sRZ3h4rhNQy0zQRT2oIR9NWQBJJIxxN5V0VAawDWje0h7C22Y91LQF0NgewttnvHHmRHYgs53mONRGg/PKXv8Tvfvc7AMDb3/52fOlLX3Let337drz1rW/FTTfdhKNHj+Kuu+7Cddddh7a2tmWbn8AYLtragoHR6LwP7lRMwVRs/o6ZksisFRJmlVOqmokPvO1MvP/LTxU1lzkNuDSrkdW6lsCqfALvWOPB8KnC50l0rLGWMq/YsQH3PPpqwfFX7NjgbMM0N3gwFU1D1WYefFmyymazt2Ga6r08Pc/QVO8terXAHhtJaPB7JPg8EjTNQCRRmpWFt1zUhSsuXIf9B0cRjqTQGPJgx7bWJa2cLBZ1eyWrjWmamI4rGBqP4+SpBMKRdN4XrAxA+xof1rUGsa7Fj87mADpbAmgMupGv9GKlD5euiQDlRz/6EQAgEAjg05/+9Jz319fX4wtf+AJuuukmpNNp/PjHP8anPvWpZZufYZp45UQYHrfIXbIrS4LTpdU0TCiagWR6Zp9/njO3uNAT+Iyb3rIF//qTP3CNA4CGIF+yZ0PQk7MN077GX3AbhiufwzOTz1HMasFyrCxIgoBLzmpf8nVKgbq9klqnagZGw0kMTcQwNB6f87whCgwdTX50tQbR1RZEV2sQnS1+eFzVc9uvnpnOY2BgAAcPHgQAvOlNb0J9fX3ecRdccAE2bNiAEydO4NFHH13WAMXuz1DndyOeUhGJ5y75M2adDrsjs2WTSmtQNAOJBW5UsjS3SqEY1fQEftEZa7Dv0CmucQCwsd2P4yfjBcdvbPdjS2cjXJIAZYGOuC5JwJZO6wYe8rsQ9MkLbtsEfTJCflfR2zCz8zmyc6YNM38+RzHBJgWmhFQ/TTdwZHAafzoxmfuiVRRwxvp6nL1xDTZ31qGz2b/k+8RKq/oA5YUXXnDevvjiixccu2PHDpw4cQJDQ0Po7+/H+vXryz09ALn9GUJ+N8zMzcbnkeB1S2DMapJ1/mnN+OORMSTm2SfM5nWV/6YiMoCnP5vIgIaQjInpwrkZTXXWasH20xpw4EjhUzC3n9aAm689E/sO/bbg2JuvPRMAcPu7z8NHv/G7guNvf/d5EBjDx95xDr5+34G8dfuCAHzsHec4N3E70bjvZBSKpiF7FVUWAZckOYnGi0naXEw+RzHBZjUFpoSQXMMTcfzx2CmMT1nb0g1BN87dtAbnbGrC1q4GuF3VHZDMVvUBytGjR523u7u7Fxy7bt065+0jR44sW4Ayuz9DY2imd4TVPl53xjXX+xCOFW5Jv9jThotx241n4Zs/e4Vr3OR0Gvc8eqTg2Gt2dlv/v7ibK0C55uJueCQJ52xa+FTbczY1wiNZP84BlwvtjV6cDCfnHd/e6EXAZVXNbO1uxP+9cTse2n0Cx4Yiznkvm9aGcN0lG3K2P7KDDlFhqHPyggBF03NO+v3/27vzqKauvW/g3xABwTAPigioILZQECcErRcVxUqpAy0OdahW69W2tnZwqK9Pte11abXW16t1qojFXq08FRUtFkfsFRXBVnsRUVEsqCAKYRYSMM8f3BwTSCBB1CDfz1qutZOzs89O4uH8skdl2fp2rRjSeA4iMgwKRe3SEgpF7eya14PcEfhSh+e6BbTFByh5eXlCumPHjg3mdXJ61D+u+ronTdP6DMrBR3Wb+jt3sMCVW40HKJ07PPmpwC91dtA530OFAtG/Xmt0gOcAX2cAQJeO1rCWGKOoTHuri7XEGF06WgMA5kb44f//7wWNQYqvuy3mRvipPbdsZiD+35YzGoMUJ1szLJsZqPacvl0lqkGH/L8DjTs5aB5o3JSuFUMaz0FEz56ZaRuM6OcGM1MxhvZ2ee5aSzRp8QFKcfGjlTrbtWt4eXZz80etDqWlT28/Dn2a+vt6tUdCqvYF2JT6/neg5PD+7ZFwuvFN44b313+hLCORCPPG+2HVTxe05pk33g9GIhGMRCJEDHZHzInrWvNGDHYXWgGMRCK8E+aNdXv+1LiAWFtjI7wT5q12E58b4YfK6mrEHL2GfOkDONqYYezQbkLLSV3LZgaiTCbDxtg0SEtksLE0wezwl4SWE03vV9fuD32DDnatENHjemOQ+7OuwlPV4gMUmezRBntt2zY8w0L1uOrrmqKNntNofDzs8bbYCAdP30RuQTkqKqvRRiyCq6MEYf07w6tL7a9uDxcbtLcxw12p9u6J9jZm8HCp3ZF13CBvnQKUcYO8m9RF4ONhj4UTe+HnxKvIvF0mPO/hLMEbgzyFegNA2IAuMDIywr7fMlEpf9SW0tZYhNF/80BooFu9sueO9cP+f1/HzbwyYW2Ozh0kGDXQXa1sJUkbE7z937EmurBu0xaL3/KHpaUZSkoeoKameXdj9uhk3azlkXbi/64CJxazq6ul43fZNPred1q6Fh+giMWPmrka25BMoTKp2+gx+vONjESwsdF/M70BNu0Q6NcJN24Xo6RcBst2JujqbAWjOkvczxnXE19Hp2icKWJpbow543rCzlYiPDftNW9EHbik9bzTXvOGg13Tu4R0rTcATAz1wriQF/DvC7dxT/oADjZmGOjnrPXC0qfsx2Vpqf9eM2R4+D0+P/hd6q6p952WrMUHKKrdNpWVlTDR0nwPAFVVj7aTbyhfYx4+VKCkRLcdYjWxkxjDTlI7m6W4uH45rvbmeG+MD+JO3UD23TLIax7CWGwE1/YSjHy5K1ztzSGVPppGO7iHEx5UyPC/J65BtYFAbAREDO6GwT2c1PI/qXqr8nN/1PpRWqq9NagpZetLLDZ6Yi0o9PTwe3x+tITv0tCCgce97zxLTf0sW3yAojru5MGDB7C01N7PX1Hx6Mu1smr6vjcAtC613Vw8Xazx8fieGsc4aDp3SF8XDOntrHHmx5Oua0tRU/OQn8VzgN/j84PfpX5a22fV4gMUZ2dnIZ2bm4v27bUPBs3NzRXSDeUzFPoOrOTMDyIiel60+BE33bp1E9LZ2dkN5s3JyRHSHh4eT6xORERE9HhafIDi5+cnDI5NTU1tMK9yt2MnJyd06tTpideNiIiImqbFByhOTk7w8/MDACQkJKCsrExjvtTUVGRlZQEAhg8f/rSqR0RERE3Q4gMUAJg8eTIAoKioCEuWLMHDOpuqFBcXY8mSJQAAY2NjTJo06anXkYiIiHTX4gfJAsCrr76K2NhYnDp1CgcPHkReXh6mTJmC9u3b48qVK9i8eTNu365dnXXOnDlqe/IQERGR4XkuAhQAWLt2LWbNmoWUlBSkpqZqHI8ydepUzJw58xnUjoiIiPTx3AQoEokE0dHR2LdvH+Li4pCRkYHS0lLY2NigZ8+emDhxIgICAp51NYmIiEgHz02AAtQuXx8eHo7w8PBnXRUiIiJ6DM9VgPK0GBmJYGtrWMsgU+O478fzgd/j84PfJTVEpFDdQY+IiIjIADwX04yJiIjo+cIAhYiIiAwOAxQiIiIyOAxQiIiIyOAwQCEiIiKDwwCFiIiIDA4DFCIiIjI4DFCIiIjI4DBAISIiIoPDAIWIiIgMDgMUIiIiMjgMUIiIiMjgcDdjMnj379/Hrl27cOrUKWRlZaGiogISiQTdunVDcHAwxo4dC3Nz8yaXP2DAANy/f1+nvKdOnYKDg0OTz9VanTx5EjNnztQp78svv4zIyMgmnSc9PR3bt29HSkoK7t27B4lEgi5duiAsLAwREREwMTFpUrkErFu3DuvXr9f7dWPGjMGKFSv0eg2vSQIYoJCBO3r0KBYuXIjS0lK156VSKc6dO4dz584hOjoa3333HV588UW9y8/Pz9f5DyE1XUZGxhM/R1RUFFatWoWamhrhOalUCqlUit9//x0xMTHYvHkzOnTo8MTrQo8YGxvrlZ/XJCkxQCGDde7cOcydOxdyuRzGxsYYO3YsBg0aBGtra+Tm5mLv3r04ceIEbt++jbfffhuxsbFwcnLS6xyXL18W0l9++SV8fX0bzG9jY9Ok99LapaenAwDs7e2xdevWBvNKJBK9yz9w4IDwK93R0RGzZs2Ct7c3CgsLERMTgxMnTiAjIwOzZs3C7t27YWpqqv+baOXGjx+PoUOHNprv1q1b+OijjyCXy+Hg4ID33ntPr/PwmiQlBihkkBQKBb744gshOImMjES/fv2E476+vhg+fDi+++47/POf/0RhYSG++eYbrF69Wq/zKG+cADB06FDY2dk123ugR5Q3HS8vrya1dDWkrKwMy5YtA1AbnPz8889o3769cHzIkCFYvXo1tmzZgsuXL+PHH3/E9OnTm7UOrYGDg0OjXSkymQyLFi2CXC6HkZERVq9erXeLFa9JUuIgWTJIFy5cQGZmJoDaX26qwYmqd999F56engCAw4cPo6KiQq/zKG+cjo6O/EP4hJSVlSE7OxtAbYDS3GJjYyGVSgEAH3zwgVpwojR37lx06dIFQG1X0MOHD5u9HgSsX79eCDDefvttrddtQ3hNkhIDFDJIKSkpQjo4OFhrPpFIhAEDBgCo/fV248YNvc6j/GP6JG6cVCsjIwMKhQIAmr31BAASEhIA1I51ePXVVzXmEYvFCA8PBwDcu3cPqampzV6P1i4jI0MY3Ozq6oo5c+Y0qRxek6TELh4ySL6+vpg1axbu3r0r/PLVRnnzA4Cqqiqdz1FaWopbt24B4B/DJ0m1yd7b27tZy66ursbFixcBAD169GhwNlffvn2F9OnTp+Hv79+sdWntvvrqK1RXVwMAFi9ejLZt2+pdBq9JUsUAhQxSQEAAAgICdMqbnJwspJ2dnXU+x+XLl4XgpmvXrti5cycOHTqEK1euoKKiAg4ODvD398ekSZPg4+Oj3xsggbLJ3sLCAjU1NVi+fDlOnTqFnJwctGnTBm5ubggODsaUKVNgaWmpV9l//fUX5HI5AKBz584N5nV1dRXSyu5Dah5Hjx4VWqUGDBiAoKCgJpXDa5JUMUChFu3kyZPCDdDT01OvAXmqv+yXLl2KsrIyteN37tzBvn37sH//fkyfPh2ffPIJjIzYK6ov5ecsl8sRFhYmBBRAbYtXeno60tPT8eOPP2LdunVqLR2NuXv3rpBubAaXnZ0dTExMIJPJkJeXp+e7oIasW7dOSH/wwQdNLofXJKligEItVmFhIZYsWSI81ndmhup0xrKyMgwePBgjR46Es7MzioqK8NtvvyEmJgYymQxbt26FQqHA/Pnzm63+rYFMJsP169cBAJWVlbCwsMDUqVPRr18/WFpaIisrC3v27MG5c+cglUoxffp07Ny5Ey+99JJO5RcVFQlpXaYnm5ubQyaT1VtXh5ru9OnTwjo3/v7+8PPza3JZvCZJFQMUapHKy8sxe/Zs5ObmAqj9wzhy5Ei9ylD+WhOJRFixYgVGjx6tdjwoKAijRo3C1KlTUV5ejsjISAwbNgw9e/ZslvfQGly7dk2tCyYyMhKdOnUSjvfo0QOjR48WpgFXVVVh/vz5OHjwoE6/jGUymZDWZW0TZR7V19HjiYqKEtIzZsx4rLJ4TZIqto1Ri1NaWooZM2bgwoULAIAOHTrg22+/1bup94cffsDu3buxY8eOen8IlXx9fdV+oW3btq2p1W6VXnjhBRw5cgRRUVH1ghNVH3/8sXCTuX79OhITE3UqXywWC2mRSNRofuX4Bl3yUuOuX7+Of//73wCA7t27N3nsiRKvSVLFAIValPz8fEyePBm///47gNqVSbdt29akvThsbW3h5+fX6JiHMWPGCL+8T58+rTZriBomFovh6uqK/v37aw1OgNqAYdy4ccLj06dP61S+6qydysrKRvMrW064J0/zOHjwoHA9KKdxPw5ek6SKAQq1GBkZGYiIiBD6qTt06IDo6Gi4u7s/0fOampqia9euAGr7xUtKSp7o+Vor1TVSbt++rdNr2rVrJ6QfPHjQaH7lQn7W1tb6VY40OnLkCIDaAHPEiBFP7by8JlsHBijUIpw8eRITJkwQZl8opyA+6eBESXVNB45feDKa8hmrTitXjkfSpqCgQCjX0dGxCTUkVTdv3sS1a9cAAH369NG4gu+TxGvy+cdBsmTw9u7di8WLFwuLQPXq1QsbN258rF/B9+/fx6VLl1BQUIBu3bo1uqZCYWEhgNouC/761l16ejpu3bqFgoICjB49GmZmZlrzFhQUCGl7e3udyu/UqRPMzc1RUVGBnJycBvMql9sHgG7duulUPml37NgxId0crSe8JqkuBihk0GJjY7Fo0SKhj3nEiBFYuXLlY48hSE9Px8yZMwEAo0aNwsqVK7Xmzc/PF25uL774ot7bx7dm33//PeLj4wHUzuIJDAzUmvf8+fNCurEdbJVEIhF69OiBM2fO4MKFC8Lmkpqobp/Qp08fncon7VQ/z6bsuVMXr0mqi108ZLBSUlKwePFiITiZNGkS1qxZ0ywDHHv27CkMsjt27FiDfdhRUVFCHcLCwh773K2J6mrA+/bt05rvwYMH+OmnnwDU7qkTEhKi8zmUv94rKiqEYKiumpoa7NmzB0Dtgm0MUB6fchadhYVFs3S18pqkuhigkEEqKyvDvHnzUFNTAwB4/fXX8T//8z/NNj3UwsJCWDelrKwMn3/+uXAuVQkJCfjhhx8A1K5UGhER0Sznby1CQ0OF5ve4uDgcPXq0Xh65XI4FCxYIA2PffPNNvWZlhYaGCl1Cq1atEvZyUbV27VrcvHkTADBlyhT+4n5Md+/eFXaQ9vHxaZbrktck1SVScH4WGaBNmzZhzZo1AAAHBwesX79ep4W4nJychBticnIypkyZAqB2IbcdO3ao5S0sLMQbb7wh3Bh9fX0xZcoUuLm5oaCgAIcOHUJcXBwUCgXatm2LyMhI/vJugvj4eHz88cdQKBQQi8WIiIhASEgIJBIJrl69iujoaFy9ehVA7XcQHR2tNlalse8RqJ3u+sknnwAAbGxs8Pe//x1+fn4oLi5GTEyMMF7ihRdeQExMjE7/l0g71e9k/Pjx+OKLL/R+Ha9JagzHoJBBUjb3A8C9e/fU1shoyPLly3Vej8HW1hbbt2/H+++/jytXruDPP//Ep59+Wi+fg4MDVq1axT+ETRQaGgqZTIalS5cKXTmq36/Syy+/jDVr1jQ4kFabsLAw3Lt3D6tWrYJUKsWKFSvq5fH09MSWLVsYnDQD1RlTje2BpA9ek6SKAQoZnMLCwkanjDYXV1dX/Pzzz4iLi8OhQ4dw+fJllJSUQCKRoHPnzggODsaECRN02ueFtBs9ejT69euHf/3rXzh16hSys7Mhk8lgb28PX19fjBo1CsHBwY91jmnTpiEgIADR0dFITk7GvXv3YGxsDA8PD4SGhuLNN9/kAm3NpLy8XEjrs0GnLnhNkhK7eIiIiMjgcJAsERERGRwGKERERGRwGKAQERGRwWGAQkRERAaHAQoREREZHAYoREREZHAYoBAREZHBYYBCREREBocBChERERkcBihERERkcBigEBmQ6urqZ10FIiKDwACFWp0hQ4age/fu6N69+7Ouipp9+/bhk08+0XgsNjZWqPO6deuecs2IiJ4+7mZM9IyVl5dj9uzZSE5Ohr+//7OuDhGRQWALCtEzJpVKkZyc/KyrQURkUBigEBERkcFhgEJEREQGhwEKERERGRwOkqVWr7CwEJGRkTh27Bju3LkDMzMzdO3aFcOGDcO4cePQrl27Bl+fl5eHvXv34ty5c8jKykJRURFqampgZWUFNzc3BAYGYsKECbCzs1N7XXJyMqZMmaL23Llz54TZRf7+/tixY4fW854/fx4//fQTUlNTcf/+fVhaWqJLly4ICwtDeHg4TExMNL5OWf64cePw5ZdfYteuXYiKikJeXh7s7e3Rp08ffPjhh3B2dlZ73YULF7Bnzx6kpqYiLy8PNTU1sLe3h4+PD1555RW88sorEIlEDX5WACCTyRAXF4ejR4/i0qVLkEqlMDMzg5OTEwICAjB27Fh4eHhoff3ChQuxd+9emJub448//kB1dTX27t2Lffv24fr166isrET79u0RFBSEadOmwcnJSXjtmTNnsHPnTly8eBGFhYWwtrZGr169MGPGDPj6+upU57S0NBQVFcHU1BT29vbo1asXQkJCMHjw4EbfOxHpTqRQKBTPuhJET9OQIUNw+/ZtAEBMTAxmzZqFwsJCjXkdHR3x7bffom/fvhqPr127Ft9//z3kcnmD5zQ3N8eqVaswdOhQ4TlNAYoq1QAlNjYWn332GQBg9uzZKC4uxs6dO7W+1tvbGxs3bkT79u3rHVMNULp06YIVK1aoHTc2NkZSUhKsrKwAAEVFRfj888+RkJDQ4Hv08vLC2rVr4erqqjVPSkoKFixYIHz+mojFYkycOBELFixAmzb1f0OpBigJCQmYM2cOLly4oLEsOzs7bNu2DZ6envjqq6+0fmZisRgrVqzAyJEj6x3LycnBjBkzcPPmTa11BoBevXphw4YNsLGxaTAfEemGAQq1OqoBipWVFYqLi2FlZYWQkBA4Ozvjzp07OHz4MIqKigAAZmZm+PHHH/HSSy+plbN69Wps2bIFACASiRAQEAAfHx9YWFigvLwc6enpSEpKQk1NjVBOfHw8OnbsCADIzc1FfHw8SkpKsGnTJgCAi4sLJkyYAABwcnJCaGgoAPUApV27digvLwcA9OzZE71790a7du2QlpaGEydO4OHDhwCAwMBAbN++vd77VwYoAQEBOH/+fL3gauDAgdi6dSsAoKysDJMnT0Z6errwPvv16wc/Pz8YGxvj2rVrSExMRGVlJQDA2toau3btQteuXeud98yZM3jnnXeE81laWmLIkCFwc3NDRUUFzp49i//85z9C/sGDB2PDhg0wMlLviVYGKKampvDw8MClS5fQrl07DB8+HK6ursjPz8eBAwdQWloKAPDx8YGfnx927NgBU1NTDBs2DB4eHpBKpYiPj8e9e/eE7+fYsWNqLV0ymQxjxoxBZmam8J0MGjQITk5OqKiowNWrV5GYmCh85o21ehGRHhRErczgwYMVnp6ewr9JkyYpCgoK1PIUFhYqJk2aJOR57bXXFDU1NcLxGzduKLy8vBSenp4Kb29vxenTpzWeKyMjQ9G/f3+hnA0bNtTLk5OTo1YXTfbs2aNW5z59+igSExPr5UtKShLq5enpqbhw4UK9PKrleHp6KhYuXKjIyclRlJaWKhITE9Xey7x584R8/fv3V6SmptYr79atW4rw8HAhX2hoqKKqqkotj1QqVfTp00fIM2vWLIVUKq1XVnx8vMLX17fBz2vBggVq9R83bpyisLBQLU9mZqbC29tbLV9ISIgiOzu7Xr1CQ0OFPNu3b1c7HhcXp/bdVFZW1qvPxYsXFX5+fkK+8+fP18tDRPrjIFlq1VxcXLBp0ybY2tqqPW9jY4ONGzeiQ4cOAIArV67gt99+E44fOHBAWJZ+0qRJCAwM1Fh+9+7dMW3aNOFxWlpas9R7+fLlCAoKqvd8//791bopfv/99wbLefnll7F8+XJ06tQJEokEQUFBwnvJzMzEgQMHANR2+2zZsgW9e/euV4azszOioqKEsR6ZmZnYv3+/Wp7IyEiUlJQAAHx9fbFu3TpYW1vXK2vEiBFYuXKl8Pj7779HcXGx1vqbm5tj/fr19bpV3N3d1brTRCIR1q5dCxcXF7V81tbWmDlzpvC47vdz8eJFIf3WW2/B1NS0Xh18fX0xdepUALVdRX/++afW+hKR7higUKv2/vvvax0EK5FIhBsPAOFmDdR2j3z66acYP348xo4d2+A5VJfUV3Y7PA4XFxe1m29dAQEBQvrOnTsNlvXmm29qPRYfHy90XYSFhcHb21trXktLS7z33nvC4z179qgdP3jwoJD+9NNPNY4tURo+fLgQCJWXl+PXX3/VmjcsLAz29vYaj73wwgtC2s/PT+2xKtXvp+5YJLFYLKT/+OMPrfV46623kJCQgIsXL6r9nyGipmOAQq2WkZERhg0b1mCeQYMGCenU1FQh7e/vj3feeQdffPGFxvEWSjKZDH/99ZfwuDk2A+zVq1eDxx0cHIS0cqyKNj179tR67OzZs0I6JCSk0XqNGDFCmMWTlpaGBw8eAACys7OFQMna2hr9+vXTqSylc+fOac3n4+Oj9ZjqWBIvLy+t+VQDVJlMpnZMdXD01q1bMXfuXJw4cQIVFRVq+aytrdG5c2cYGxtrPQ8R6YfTjKnVcnFxaXQKsZubG4yNjSGXy5GXl4eqqiqNzfxVVVXIyspCdnY2srOzcfPmTVy9ehWXL19Wu+kpmmFMet3uqLpUf/UrW0A0MTc3b7CsW7duCekXX3yx0XpJJBJ06tQJOTk5kMvlyM3NRdeuXdXK0daKUZfq+VRfX5ejo6PWY6qfg6WlpdZ8DU2NHjJkCPz9/YUg6dChQzh06BCMjY3Rq1cvDBw4EEFBQfD09NRaBhE1DQMUarWU02gbYmRkBIlEAqlUCgAoLi5WuykeO3YM0dHRSE1N1do6IhaLhZk8zaGxoEpXFhYWDR5XzmICdPusgNqWhJycHAAQxo40tRxN9airbdu2OpWnGqzow8jICBs2bMA//vEP7N+/Xwgw5XI5kpOTkZycjG+++QadO3fG66+/jsmTJ8PMzKxJ5yIidQxQiBqh2uqhXPysuroaCxcuVBuXouTg4AB3d3d4e3ujb9++MDIyUhuIaSgaGgdSly4LsAHqLTbK6cGqn5+u5agGdHWnGTelXo/DwsICX3/9Nd577z388ssvOH78ONLS0tTe682bN7F69Wrs3r0bO3bsEKaSE1HTMUChVkuXAas1NTUoKysDUHszVLY6bN68WQhOTExMMGHCBAwZMgReXl71uhNOnjzZzDV/OiwtLYU1QpSrvTZG2dIEPGqhUW01UT2uazkNdc88Ta6urpg9e7awUF5KSgqSkpJw/Phx5OXlAajtjvrss8/www8/POPaErV8HCRLrdadO3caHbR6/fp1IY+7uzvEYjFkMpnaAmgrV67EokWLEBAQoPFmqjozpDnGoDwtbm5uQjojI6PR/MXFxcJgWCMjI2GpfNVyrly5otO5Vc/XqVMnnV7zNFlZWWHo0KFYsmQJEhMTsWjRIuHY2bNncffu3WdYO6LnAwMUarWqqqpw/vz5BvMcPnxYSCunvt64cUNY08PKykptxokmycnJQlpTgPI0uimaok+fPkK6sWXu6+bx9vYWBhO7uLgI43aKiorUZgdpozq1uLFZS09KTU0NFixYgPDwcAwYMKDeDB8lkUiEt956C507dxaeY4BC9PgYoFCrtm7dOq0DWPPz8xEdHS08fuONNwCoT0WtqKhAVVWV1vLT0tLU1gDRtGeP6gDO5hxM+7hGjhwpBE+//PILLl26pDVvaWkpNm7cKDwOCwtTOz5mzBgh/e233zbYcnXkyBFhzRFjY2MMHz68SfV/XGKxGBkZGbh06RLu37+PY8eOac378OFDtcG8mvZAIiL9MEChVi0lJQWLFy+u9+v49u3bmDFjhjATJTg4WNjttmvXrsJ6F3K5HGvWrNHYMnL06FFMnz5dLShR7lmjSiKRCGnlLsGGwN3dXQg05HI5Zs6cqbHFKTc3F9OnTxe6dzw8PDB+/Hi1PFOmTBFm5ly8eBFz5szRODvnyJEjmD9/vvB41qxZWhdiexpef/11Ib106VK1vYKUFAoFVqxYIbyfHj16MEAhagYcJEutloODAyoqKhAbG4vTp09j2LBhsLOzQ1ZWFg4fPiwsNObi4oJly5YJr5NIJAgPD8fu3bsBAFFRUUhKSkJgYCBsbGyQn5+PM2fOICsrC0DtbJmamhooFAqNN2WJRAJra2sUFRXh9u3bePfdd9G7d2+YmZlh8uTJT/6DaMDSpUtx+fJlZGZm4v79+5g4cSICAgKEzQIzMzNx/PhxIfCysLDAmjVr6k3/tbe3x6pVq/Duu+9CLpfj+PHjGDZsGIKDg+Hm5oYHDx7g7NmzakvLDxgwALNnz36q77eu8ePH4+eff8aVK1dQVFSEiIgI9O/fH56enrC1tUVBQQFOnTolbCZoYmKChQsXPtM6Ez0vGKBQq+Xo6IiPPvoIH374IfLy8jTuQuvn56dxr5fPPvsMf/31lzCe4urVq7h69Wq913fs2BFff/01Fi1ahJycHBQUFCAvL0/Y40dp3Lhx2Lx5MwAgMTERiYmJsLCweOYBikQiwa5duzB//nycOHECCoUCZ86cwZkzZ+rl9fHxwZo1a+rtd6P0t7/9Ddu2bcO8efOQl5eHkpIS7N27t14+kUiE6dOn46OPPmry+iXNxcTEBFu3bsXs2bORlpYGhUKBpKQkJCUl1cvr4OCAZcuWPbMxM0TPGwYo1KoNHDgQ+/fvR2RkJH777Tfk5+fDwsICXl5eGDVqFF577TWNg1jNzMwQFRWFffv24cCBA7h8+TJKSkpgamoKW1tbeHp6IigoCKNHj0bbtm0xYMAA/PTTTwCAuLi4euuizJ07F9bW1oiNjcWtW7cgFovh6OiIwsLCRleOfdIsLS2xadMmpKSkYP/+/UhJSUF+fj7kcjns7OzQo0cPhIaGIiQkpME1S4DaLQIOHz6M2NhYHD9+HBkZGZBKpWjTpg1cXFwQGBiIsWPHwsPD4ym9u8Y5OjoiJiYGv/76KxISEnDp0iUUFBSguroatra2cHd3x+DBgxEeHq7WXUdEj0ekaEnzHomIiKhV4CBZIiIiMjgMUIiIiMjgMEAhIiIig8MAhYiIiAwOAxQiIiIyOAxQiIiIyOAwQCEiIiKDwwCFiIiIDA4DFCIiIjI4DFCIiIjI4DBAISIiIoPDAIWIiIgMDgMUIiIiMjgMUIiIiMjgMEAhIiIig8MAhYiIiAzO/wGGDLmU33QFVgAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -988,7 +988,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 206, "metadata": {}, "outputs": [ { @@ -1008,7 +1008,7 @@ "dtype: int64" ] }, - "execution_count": 18, + "execution_count": 206, "metadata": {}, "output_type": "execute_result" } @@ -1020,7 +1020,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 207, "metadata": {}, "outputs": [ { @@ -1057,7 +1057,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 208, "metadata": {}, "outputs": [ { @@ -1069,7 +1069,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 20, + "execution_count": 208, "metadata": {}, "output_type": "execute_result" } @@ -1088,7 +1088,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 209, "metadata": {}, "outputs": [], "source": [ @@ -1097,7 +1097,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 210, "metadata": {}, "outputs": [ { @@ -1109,7 +1109,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 22, + "execution_count": 210, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 211, "metadata": {}, "outputs": [ { @@ -1140,7 +1140,7 @@ "dtype: int64" ] }, - "execution_count": 23, + "execution_count": 211, "metadata": {}, "output_type": "execute_result" } @@ -1172,7 +1172,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 212, "metadata": {}, "outputs": [ { @@ -1235,7 +1235,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 213, "metadata": {}, "outputs": [], "source": [ @@ -1244,7 +1244,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 214, "metadata": {}, "outputs": [ { @@ -1255,7 +1255,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 26, + "execution_count": 214, "metadata": {}, "output_type": "execute_result" } @@ -1266,7 +1266,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 215, "metadata": {}, "outputs": [], "source": [ @@ -1275,7 +1275,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 216, "metadata": {}, "outputs": [ { @@ -1284,7 +1284,7 @@ "(46360, 11)" ] }, - "execution_count": 28, + "execution_count": 216, "metadata": {}, "output_type": "execute_result" } @@ -1295,7 +1295,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 217, "metadata": {}, "outputs": [], "source": [ @@ -1304,7 +1304,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 218, "metadata": {}, "outputs": [ { @@ -1531,7 +1531,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 30, + "execution_count": 218, "metadata": {}, "output_type": "execute_result" } @@ -1542,7 +1542,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 219, "metadata": {}, "outputs": [ { @@ -1576,7 +1576,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 220, "metadata": {}, "outputs": [ { @@ -1597,7 +1597,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 32, + "execution_count": 220, "metadata": {}, "output_type": "execute_result" } @@ -1615,7 +1615,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 221, "metadata": {}, "outputs": [], "source": [ @@ -1625,7 +1625,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 222, "metadata": {}, "outputs": [ { @@ -1677,7 +1677,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 223, "metadata": {}, "outputs": [ { @@ -1686,7 +1686,7 @@ "array(['NO', 'YES'], dtype=object)" ] }, - "execution_count": 35, + "execution_count": 223, "metadata": {}, "output_type": "execute_result" } @@ -1708,7 +1708,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 224, "metadata": {}, "outputs": [ { @@ -1717,7 +1717,7 @@ "array([0., 0., 0., ..., 0., 0., 0.])" ] }, - "execution_count": 36, + "execution_count": 224, "metadata": {}, "output_type": "execute_result" } @@ -1736,7 +1736,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 225, "metadata": {}, "outputs": [ { @@ -1963,7 +1963,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 37, + "execution_count": 225, "metadata": {}, "output_type": "execute_result" } @@ -1978,7 +1978,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 226, "metadata": {}, "outputs": [ { @@ -1990,7 +1990,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 38, + "execution_count": 226, "metadata": {}, "output_type": "execute_result" } @@ -2008,7 +2008,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 227, "metadata": {}, "outputs": [ { @@ -2023,7 +2023,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 39, + "execution_count": 227, "metadata": {}, "output_type": "execute_result" } @@ -2034,7 +2034,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 228, "metadata": {}, "outputs": [], "source": [ @@ -2049,7 +2049,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 229, "metadata": {}, "outputs": [ { @@ -2069,7 +2069,7 @@ "Name: condition, Length: 21420, dtype: int64" ] }, - "execution_count": 41, + "execution_count": 229, "metadata": {}, "output_type": "execute_result" } @@ -2080,7 +2080,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 230, "metadata": {}, "outputs": [ { @@ -2095,7 +2095,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 42, + "execution_count": 230, "metadata": {}, "output_type": "execute_result" } @@ -2107,7 +2107,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 231, "metadata": {}, "outputs": [ { @@ -2150,7 +2150,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 232, "metadata": {}, "outputs": [], "source": [ @@ -2166,7 +2166,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 233, "metadata": {}, "outputs": [ { @@ -2225,7 +2225,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 234, "metadata": {}, "outputs": [], "source": [ @@ -2250,7 +2250,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 235, "metadata": {}, "outputs": [ { @@ -2271,7 +2271,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 236, "metadata": {}, "outputs": [ { @@ -2319,7 +2319,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 237, "metadata": {}, "outputs": [ { @@ -2350,7 +2350,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 238, "metadata": {}, "outputs": [ { @@ -2398,7 +2398,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 239, "metadata": {}, "outputs": [ { @@ -2424,7 +2424,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 240, "metadata": {}, "outputs": [ { @@ -2472,7 +2472,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 241, "metadata": {}, "outputs": [ { @@ -2498,7 +2498,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 242, "metadata": {}, "outputs": [ { @@ -2540,7 +2540,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 243, "metadata": {}, "outputs": [], "source": [ @@ -2551,7 +2551,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 244, "metadata": {}, "outputs": [ { @@ -2585,7 +2585,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 245, "metadata": {}, "outputs": [], "source": [ @@ -2595,7 +2595,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 246, "metadata": {}, "outputs": [ { @@ -2674,7 +2674,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 247, "metadata": {}, "outputs": [ { @@ -2721,7 +2721,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 248, "metadata": {}, "outputs": [ { @@ -2747,7 +2747,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 249, "metadata": {}, "outputs": [ { @@ -2769,7 +2769,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 250, "metadata": {}, "outputs": [ { @@ -2800,7 +2800,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 251, "metadata": {}, "outputs": [ { @@ -2823,7 +2823,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 252, "metadata": {}, "outputs": [ { @@ -2845,7 +2845,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 253, "metadata": {}, "outputs": [ { @@ -2883,7 +2883,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 254, "metadata": {}, "outputs": [ { @@ -2923,7 +2923,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 255, "metadata": {}, "outputs": [ { @@ -2961,7 +2961,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 256, "metadata": {}, "outputs": [ { @@ -3113,7 +3113,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 257, "metadata": {}, "outputs": [ { @@ -3337,7 +3337,7 @@ "yr_built 0.492854 -0.032005 -0.361670 0.452886 1.000000 " ] }, - "execution_count": 73, + "execution_count": 257, "metadata": {}, "output_type": "execute_result" } @@ -3374,7 +3374,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 258, "metadata": {}, "outputs": [ { @@ -3408,7 +3408,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 259, "metadata": {}, "outputs": [ { @@ -3475,7 +3475,7 @@ "4 1680 8" ] }, - "execution_count": 75, + "execution_count": 259, "metadata": {}, "output_type": "execute_result" } @@ -3496,7 +3496,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 260, "metadata": {}, "outputs": [ { @@ -3614,7 +3614,7 @@ "[20978 rows x 3 columns]" ] }, - "execution_count": 77, + "execution_count": 260, "metadata": {}, "output_type": "execute_result" } @@ -3629,7 +3629,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 261, "metadata": {}, "outputs": [], "source": [ @@ -3638,7 +3638,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 262, "metadata": {}, "outputs": [ { @@ -3659,7 +3659,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 12:12:28 Log-Likelihood: -2.8743e+05\n", + " Time: 13:51:03 Log-Likelihood: -2.8743e+05\n", "\n", "\n", " No. Observations: 20978 AIC: 5.749e+05 \n", @@ -3711,7 +3711,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.486 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 9901. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 12:12:28 & \\textbf{ Log-Likelihood: } & -2.8743e+05 \\\\\n", + "\\textbf{Time:} & 13:51:03 & \\textbf{ Log-Likelihood: } & -2.8743e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & 5.749e+05 \\\\\n", "\\textbf{Df Residuals:} & 20975 & \\textbf{ BIC: } & 5.749e+05 \\\\\n", "\\textbf{Df Model:} & 2 & \\textbf{ } & \\\\\n", @@ -3750,7 +3750,7 @@ "Model: OLS Adj. R-squared: 0.486\n", "Method: Least Squares F-statistic: 9901.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 12:12:28 Log-Likelihood: -2.8743e+05\n", + "Time: 13:51:03 Log-Likelihood: -2.8743e+05\n", "No. Observations: 20978 AIC: 5.749e+05\n", "Df Residuals: 20975 BIC: 5.749e+05\n", "Df Model: 2 \n", @@ -3775,7 +3775,7 @@ "\"\"\"" ] }, - "execution_count": 79, + "execution_count": 262, "metadata": {}, "output_type": "execute_result" } @@ -3800,7 +3800,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 263, "metadata": {}, "outputs": [], "source": [ @@ -3810,7 +3810,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 264, "metadata": {}, "outputs": [], "source": [ @@ -3819,7 +3819,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 265, "metadata": {}, "outputs": [ { @@ -3841,7 +3841,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 266, "metadata": {}, "outputs": [ { @@ -4044,7 +4044,7 @@ "[15733 rows x 9 columns]" ] }, - "execution_count": 83, + "execution_count": 266, "metadata": {}, "output_type": "execute_result" } @@ -4088,7 +4088,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 267, "metadata": {}, "outputs": [ { @@ -4097,7 +4097,7 @@ "[array([1, 2, 3, 4, 5], dtype=int64)]" ] }, - "execution_count": 86, + "execution_count": 267, "metadata": {}, "output_type": "execute_result" } @@ -4120,7 +4120,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 268, "metadata": {}, "outputs": [ { @@ -4135,7 +4135,7 @@ " [0., 0., 0., 1., 0.]])" ] }, - "execution_count": 88, + "execution_count": 268, "metadata": {}, "output_type": "execute_result" } @@ -4152,7 +4152,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 269, "metadata": {}, "outputs": [ { @@ -4294,7 +4294,7 @@ "[15733 rows x 5 columns]" ] }, - "execution_count": 90, + "execution_count": 269, "metadata": {}, "output_type": "execute_result" } @@ -4320,7 +4320,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 270, "metadata": {}, "outputs": [ { @@ -4511,7 +4511,7 @@ "[15733 rows x 8 columns]" ] }, - "execution_count": 91, + "execution_count": 270, "metadata": {}, "output_type": "execute_result" } @@ -4524,7 +4524,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 271, "metadata": {}, "outputs": [ { @@ -4775,7 +4775,7 @@ "[15733 rows x 13 columns]" ] }, - "execution_count": 93, + "execution_count": 271, "metadata": {}, "output_type": "execute_result" } @@ -4800,7 +4800,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 272, "metadata": {}, "outputs": [ { @@ -5039,7 +5039,7 @@ "[15733 rows x 12 columns]" ] }, - "execution_count": 94, + "execution_count": 272, "metadata": {}, "output_type": "execute_result" } @@ -5052,7 +5052,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 273, "metadata": {}, "outputs": [ { @@ -5087,13 +5087,13 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 274, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "" + "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "LinearRegression()" ] }, - "execution_count": 97, + "execution_count": 274, "metadata": {}, "output_type": "execute_result" } @@ -5519,7 +5519,7 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 275, "metadata": {}, "outputs": [ { @@ -5528,7 +5528,7 @@ "array([0.61210062, 0.60849282, 0.59087099])" ] }, - "execution_count": 98, + "execution_count": 275, "metadata": {}, "output_type": "execute_result" } @@ -5548,7 +5548,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 276, "metadata": {}, "outputs": [], "source": [ @@ -5558,7 +5558,7 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 277, "metadata": {}, "outputs": [ { @@ -5761,7 +5761,7 @@ "[5245 rows x 9 columns]" ] }, - "execution_count": 100, + "execution_count": 277, "metadata": {}, "output_type": "execute_result" } @@ -5772,7 +5772,7 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 278, "metadata": {}, "outputs": [ { @@ -6023,7 +6023,7 @@ "[5245 rows x 13 columns]" ] }, - "execution_count": 102, + "execution_count": 278, "metadata": {}, "output_type": "execute_result" } @@ -6053,7 +6053,7 @@ }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 279, "metadata": {}, "outputs": [ { @@ -6292,7 +6292,7 @@ "[5245 rows x 12 columns]" ] }, - "execution_count": 103, + "execution_count": 279, "metadata": {}, "output_type": "execute_result" } @@ -6304,7 +6304,7 @@ }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 280, "metadata": {}, "outputs": [ { @@ -6313,7 +6313,7 @@ "0.617288818755894" ] }, - "execution_count": 105, + "execution_count": 280, "metadata": {}, "output_type": "execute_result" } @@ -6328,7 +6328,7 @@ }, { "cell_type": "code", - "execution_count": 106, + "execution_count": 281, "metadata": {}, "outputs": [ { @@ -6363,7 +6363,7 @@ }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 282, "metadata": {}, "outputs": [ { @@ -6402,7 +6402,7 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 283, "metadata": {}, "outputs": [ { @@ -6443,7 +6443,7 @@ }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 284, "metadata": {}, "outputs": [], "source": [ @@ -6452,7 +6452,7 @@ }, { "cell_type": "code", - "execution_count": 115, + "execution_count": 285, "metadata": {}, "outputs": [ { @@ -6484,7 +6484,7 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 286, "metadata": {}, "outputs": [], "source": [ @@ -6493,7 +6493,7 @@ }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 287, "metadata": {}, "outputs": [ { @@ -6524,7 +6524,7 @@ }, { "cell_type": "code", - "execution_count": 118, + "execution_count": 288, "metadata": {}, "outputs": [], "source": [ @@ -6534,7 +6534,7 @@ }, { "cell_type": "code", - "execution_count": 119, + "execution_count": 289, "metadata": {}, "outputs": [ { @@ -6785,7 +6785,7 @@ "[15733 rows x 13 columns]" ] }, - "execution_count": 119, + "execution_count": 289, "metadata": {}, "output_type": "execute_result" } @@ -6797,7 +6797,7 @@ }, { "cell_type": "code", - "execution_count": 120, + "execution_count": 290, "metadata": {}, "outputs": [], "source": [ @@ -6806,7 +6806,7 @@ }, { "cell_type": "code", - "execution_count": 121, + "execution_count": 291, "metadata": {}, "outputs": [ { @@ -6827,7 +6827,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 12:45:07 Log-Likelihood: -2.1360e+05\n", + " Time: 13:51:19 Log-Likelihood: -2.1360e+05\n", "\n", "\n", " No. Observations: 15733 AIC: 4.272e+05 \n", @@ -6909,7 +6909,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.605 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2010. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 12:45:07 & \\textbf{ Log-Likelihood: } & -2.1360e+05 \\\\\n", + "\\textbf{Time:} & 13:51:19 & \\textbf{ Log-Likelihood: } & -2.1360e+05 \\\\\n", "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.272e+05 \\\\\n", "\\textbf{Df Residuals:} & 15720 & \\textbf{ BIC: } & 4.273e+05 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -6958,7 +6958,7 @@ "Model: OLS Adj. R-squared: 0.605\n", "Method: Least Squares F-statistic: 2010.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 12:45:07 Log-Likelihood: -2.1360e+05\n", + "Time: 13:51:19 Log-Likelihood: -2.1360e+05\n", "No. Observations: 15733 AIC: 4.272e+05\n", "Df Residuals: 15720 BIC: 4.273e+05\n", "Df Model: 12 \n", @@ -6993,7 +6993,7 @@ "\"\"\"" ] }, - "execution_count": 121, + "execution_count": 291, "metadata": {}, "output_type": "execute_result" } @@ -7018,7 +7018,7 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": 292, "metadata": {}, "outputs": [ { @@ -7053,7 +7053,7 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": 293, "metadata": {}, "outputs": [ { @@ -7088,7 +7088,7 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 294, "metadata": {}, "outputs": [ { @@ -7123,7 +7123,7 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 295, "metadata": {}, "outputs": [ { @@ -7277,7 +7277,7 @@ "[15733 rows x 6 columns]" ] }, - "execution_count": 134, + "execution_count": 295, "metadata": {}, "output_type": "execute_result" } @@ -7295,7 +7295,7 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 296, "metadata": {}, "outputs": [ { @@ -7334,7 +7334,7 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 297, "metadata": {}, "outputs": [ { @@ -7355,7 +7355,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 12:55:24 Log-Likelihood: -2.1596e+05\n", + " Time: 13:51:28 Log-Likelihood: -2.1596e+05\n", "\n", "\n", " No. Observations: 15733 AIC: 4.319e+05 \n", @@ -7419,7 +7419,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.467 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2300. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 12:55:24 & \\textbf{ Log-Likelihood: } & -2.1596e+05 \\\\\n", + "\\textbf{Time:} & 13:51:28 & \\textbf{ Log-Likelihood: } & -2.1596e+05 \\\\\n", "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.319e+05 \\\\\n", "\\textbf{Df Residuals:} & 15726 & \\textbf{ BIC: } & 4.320e+05 \\\\\n", "\\textbf{Df Model:} & 6 & \\textbf{ } & \\\\\n", @@ -7462,7 +7462,7 @@ "Model: OLS Adj. R-squared: 0.467\n", "Method: Least Squares F-statistic: 2300.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 12:55:24 Log-Likelihood: -2.1596e+05\n", + "Time: 13:51:28 Log-Likelihood: -2.1596e+05\n", "No. Observations: 15733 AIC: 4.319e+05\n", "Df Residuals: 15726 BIC: 4.320e+05\n", "Df Model: 6 \n", @@ -7491,7 +7491,7 @@ "\"\"\"" ] }, - "execution_count": 136, + "execution_count": 297, "metadata": {}, "output_type": "execute_result" } @@ -7511,7 +7511,7 @@ }, { "cell_type": "code", - "execution_count": 137, + "execution_count": 298, "metadata": {}, "outputs": [], "source": [ @@ -7520,7 +7520,7 @@ }, { "cell_type": "code", - "execution_count": 138, + "execution_count": 299, "metadata": {}, "outputs": [ { @@ -7575,7 +7575,7 @@ }, { "cell_type": "code", - "execution_count": 139, + "execution_count": 300, "metadata": {}, "outputs": [ { @@ -7614,7 +7614,7 @@ }, { "cell_type": "code", - "execution_count": 152, + "execution_count": 301, "metadata": {}, "outputs": [ { @@ -7648,82 +7648,26 @@ " \n", " \n", " 0\n", - " grade\n", + " sqft_living\n", " \n", - " 0.481754\n", - " 0.476989\n", + " 0.414806\n", + " 0.413556\n", " Yes\n", " \n", " \n", " 1\n", - " bathrooms\n", + " grade\n", " \n", - " 0.414831\n", - " 0.413439\n", + " 0.481754\n", + " 0.476989\n", " Yes\n", " \n", " \n", " 2\n", - " bedrooms\n", - " \n", - " 0.430300\n", - " 0.423287\n", - " Yes\n", - " \n", - " \n", - " 3\n", - " floors\n", - " \n", - " 0.415664\n", - " 0.413992\n", - " Yes\n", - " \n", - " \n", - " 4\n", - " grade\n", - " bathrooms\n", - " 0.485325\n", - " 0.480718\n", - " Yes\n", - " \n", - " \n", - " 5\n", - " grade\n", - " bedrooms\n", - " 0.488349\n", - " 0.480580\n", - " Yes\n", - " \n", - " \n", - " 6\n", + " sqft_living\n", " grade\n", - " floors\n", - " 0.484683\n", - " 0.480336\n", - " Yes\n", - " \n", - " \n", - " 7\n", - " bathrooms\n", - " bedrooms\n", - " 0.430500\n", - " 0.423397\n", - " Yes\n", - " \n", - " \n", - " 8\n", - " bathrooms\n", - " floors\n", - " 0.415866\n", - " 0.414128\n", - " Yes\n", - " \n", - " \n", - " 9\n", - " bedrooms\n", - " floors\n", - " 0.430801\n", - " 0.423619\n", + " 0.481743\n", + " 0.476978\n", " Yes\n", " \n", " \n", @@ -7731,20 +7675,13 @@ "" ], "text/plain": [ - " feature1 feature2 train_score val_score sqft_living\n", - "0 grade 0.481754 0.476989 Yes\n", - "1 bathrooms 0.414831 0.413439 Yes\n", - "2 bedrooms 0.430300 0.423287 Yes\n", - "3 floors 0.415664 0.413992 Yes\n", - "4 grade bathrooms 0.485325 0.480718 Yes\n", - "5 grade bedrooms 0.488349 0.480580 Yes\n", - "6 grade floors 0.484683 0.480336 Yes\n", - "7 bathrooms bedrooms 0.430500 0.423397 Yes\n", - "8 bathrooms floors 0.415866 0.414128 Yes\n", - "9 bedrooms floors 0.430801 0.423619 Yes" + " feature1 feature2 train_score val_score sqft_living\n", + "0 sqft_living 0.414806 0.413556 Yes\n", + "1 grade 0.481754 0.476989 Yes\n", + "2 sqft_living grade 0.481743 0.476978 Yes" ] }, - "execution_count": 152, + "execution_count": 301, "metadata": {}, "output_type": "execute_result" } @@ -7828,7 +7765,7 @@ }, { "cell_type": "code", - "execution_count": 183, + "execution_count": 302, "metadata": {}, "outputs": [ { @@ -7836,23 +7773,100 @@ "output_type": "stream", "text": [ "\n", - "RangeIndex: 3 entries, 0 to 2\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 0 3 non-null float64\n", - " 1 1 3 non-null float64\n", - " 2 2 3 non-null float64\n", - " 3 3 3 non-null float64\n", - " 4 4 3 non-null float64\n", - "dtypes: float64(5)\n", - "memory usage: 248.0 bytes\n" + "Index: 20978 entries, 0 to 21596\n", + "Data columns (total 11 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 id 20978 non-null int64 \n", + " 1 price 20978 non-null int32 \n", + " 2 bedrooms 20978 non-null int64 \n", + " 3 bathrooms 20978 non-null float64\n", + " 4 sqft_living 20978 non-null int64 \n", + " 5 sqft_lot 20978 non-null int64 \n", + " 6 floors 20978 non-null float64\n", + " 7 waterfront 20978 non-null float64\n", + " 8 condition 20978 non-null int64 \n", + " 9 grade 20978 non-null int32 \n", + " 10 yr_built 20978 non-null int64 \n", + "dtypes: float64(3), int32(2), int64(6)\n", + "memory usage: 1.8 MB\n" ] } ], "source": [ "df.info()" ] + }, + { + "cell_type": "code", + "execution_count": 303, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " id price bedrooms bathrooms sqft_living sqft_lot floors \\\n", + "0 7129300520 221900 3 1.00 1180 5650 1.0 \n", + "1 6414100192 538000 3 2.25 2570 7242 2.0 \n", + "2 5631500400 180000 2 1.00 770 10000 1.0 \n", + "3 2487200875 604000 4 3.00 1960 5000 1.0 \n", + "4 1954400510 510000 3 2.00 1680 8080 1.0 \n", + "\n", + " waterfront condition grade yr_built \n", + "0 0.0 3 7 1955 \n", + "1 0.0 3 7 1951 \n", + "2 0.0 3 6 1933 \n", + "3 0.0 5 7 1965 \n", + "4 0.0 3 8 1987 \n" + ] + } + ], + "source": [ + "print(df.head())\n" + ] + }, + { + "cell_type": "code", + "execution_count": 304, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['id', 'price', 'bedrooms', 'bathrooms', 'sqft_living', 'sqft_lot',\n", + " 'floors', 'waterfront', 'condition', 'grade', 'yr_built'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "print(df.columns)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 306, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[array([1, 2, 3, 4, 5], dtype=int64)]" + ] + }, + "execution_count": 306, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "condition_train2 = df[['condition']]\n", + "ohe2 = OneHotEncoder(categories='auto', handle_unknown='ignore')\n", + "ohe2.fit(condition_train2)\n", + "ohe2.categories_\n" + ] } ], "metadata": { From c10c181fed8c2b4094c9dc1bb3c649e22c068866 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 13:53:50 +0300 Subject: [PATCH 76/98] Update jointplot.png --- jointplot.png | Bin 46329 -> 47329 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/jointplot.png b/jointplot.png index 71243ae06ca2b51ef4b92a36cdf4ff04c2fd5e00..de4faef3c2b6fa3500c49a47067619e0723c1eee 100644 GIT binary patch literal 47329 zcmd?QbyQVvyEeM$5D+N=Y3WW02`OnoQo6fSx+Ek7M7kSk0SRfOq(P(`q@=syd#1nl z+wb1{8)xh@&Kc*g;}{5QuDPD|#2wdtUH1%AdL@O4PK*wN!7yc{C6r+>czW8akQ66bxM)Z0ucZER87KOr4x9?d`Z&`B>SRDJ)!E9GnH% z*lhpf23C6~b2gsJni4PwnuD~aGYt075c+}pEK+C*gVn#1kq}jNPurRI@HSCP7P%Y# zCbz4mDd1K3d9j%GS9NhN=IeE9sX z)lrGCT~tf`k%Xss7XFUQnD*JwM10;^!}fl(_IUwgQQj*WH5s)vk5)a*t)bpQ8OEaP zU;M+zBxWfEXkw_8K{4o5r6-8s4{R~BTv#wRxP~7Jj|aV_N`kHgy`k(#{{nhnx-0vC zy5Xa`C;YgDw_w9h6$;51YPi!=;h+vjLS&v-wZ9l+V0ztAW1=D}q4z=5Q?PsU^eDj&no-3h3u*X$wqU3kDL8b7&%`B8@?)KC zZ!kIvS1!iF*u{K#CwQ+%r+=duKd5L@3ge~>DiuUmvWm1zVjujus9KWGXl}z9(CkOt zl_B!Mz=bpUxMh)yP|Ud*r9!BYG|^5!B4&|iW3_~X@M%ztmIRz^yj%fK)5RaY3=!^- zyHWZABXmLpZ#%Sis~l<7m1rAwdI&PiehsfV%M1;eLq>ZM_4s|!86-m|S=zS~Mszkr zotqz@it+}*GZ8j%&$pRSe^^#=Bq5JlY8yp6`5=*g-bfAiuN#~*g?qbwc%nEF}@fqKXrQrIgn9cojwvbmCFqfs##aA7h1lWTU z71O@E$UAm_eRk#0n_R}{+(AsTgZVT?DeDjNT-AFY6e*5)q1yI{2SXO^-DlWZ#6GB| z@JI^0*kQwnB&#YikqWdN0`Z-1_yVK@?Y#;qH(#1N!w%!n$GF=G-%YX@dUJ-Ue8fA! zSu~Lh$o{qvaasmvvu)RTHmJa_%?sQGw)WHcc~-Fiu*b@5RI>Y9n4X{@*3;n%n6bYU z!KkV|l8R{N13OKB3RG;Ocl4Ym(UR?LUp#C{2@w#x+YpfhOl7k**Q47g&@p-xUuJz4 z5VS)xFReg?;Wf%Hz;r&y0wB*$4HbO#U?4V@7PZI6ZExo)C+Zu?TdvKbqZx4E>Tdjx5 z;t>rDOxpXExxpydk=1y?e-+xlwJ>EF8t@(JB?j&io)n--@?>oxyUhD1py5~roR(=` zT&w(KHw$~L9TvlQ-cxuM*f8G55^>;>kkC%S+EL4=Nr*%bLI`RRA08DB6kS%7{Gk9E z6D|&i4n-D}*xqMbyZ(6Sd7`Z^u#3LJg#G7n@08)2o15!TC$#^rxVTshugmm$ z?(KpH9k&94F~;J}I@w9UTv#&gH3twID?hUXuKJmn(ORB~WsKeaK>Nwq{Zb24v! z(+xdDh1o1L5$$^|UOV)VzKy$eR($npW!gLw38v#ZuEw{K=Dbeo)z4D56#Q84g}68Z zP8gyfnd0;Yl)p~Y`=O=LcwVk0W*0N+us*)~Q*nn*es>V+xYQPqQ=UzazSny1D|pz6 z>wY?}@hD6J8w1&K#iD&`_WS<%V<9%+QSp{Fb8qQiXyy$2-5p~G zb>$zCi1?E5&b#0mRT7$Lc0XS@#M1HH%D1qwk>DfgR#6lRMj>;DiHnQZU#_P*F8Z9W znTV0|J0Zd-`Z=|cts29Fn(Mra<=*NLJMrIvVvK_P)nYHg+dl&T1Y+ z4eoufd%LfJsMXtXb)W&#{c z|L!R9EZtQNCH%48rUR__O*Hv?szTKM(dtz5lx!+^6 z*h0GR-t*jHzxmwA#RaeN?S6Oa!bySTKneuoifga2%CbshdV6~%ebUl{5Z`$D*YdVr z4nFXmGfmW8Z_>5lCkAWyqXE_cJc06TS(Y`il^K#97CpYPt-DSGcq#IP0EwAGlBaSpKG^`U0^1L?bcH@+pv-8Y0Wtk z2(dO>HG=3GuV)WL3>|Z$aI{~4&C^;W=`_RwUN-{q`5A#pd^F-6Xo|!y~^4iP}J^1l78U_Q# zdoWSgGVYN{A6~zfpbdjnzQM@6=%h;{KD9ZYbAEWXGmQYN2Zl8I^QUqj8-V=M_@8U9 zUn#6*QGb%T*)bRCz*Q6scq$b|@ll!r58V(7U)3VlTsl6d#z434?{(6;CL6@pEfi!K(0fV>5X%L-Fp83f*>7`$<)v9rESl79}l{N2v!M< zYG=9{#qVyzFDli(g-E;3PLi9rOZ=fwP$;=CA#7x7>iw|Ko-@tfb| zYI${akLwmZnO>#waqK6NK6hIxZ`>2p)z#J9sIp%aZaQz?M}p0HZkJs&wq7@S^xWN@ zxAyGTEk+$49(wd#cnjaGirhV2IIFE&^YLSh|6V9^YbkiOnR~34+t~PI@p9eX;z|?|rURw9)xti_)rK9&8@s`0 z^U#}BM^;oXD*F?uKK^KG?>SuUNw0fQvq1v}|It?rMu!aZ`g|V+<_!kyNo>7YOFQ3g z$WYk_mZQP8b-dLO;NWgI&s!w_w-}V-BMCKB_30ZgmW(#u{T$L$^^L#&r^=7lgXig8 zzHHW1FFej07eD9&rN) z4hD{B*PB_A@^pG!`rr7Sh)IaFN*W9hW#!IniInf6eu|C`BN6h%6A}^v@z7&Y1Q@#% znFk`+SK4Q`GhcrX)5-9BY^i2^pA&QJr<}g&SW0^GhII(||F2H;zA;6S579n5#?tx9 zAQN>$;6lgua_w_PMbE(jI}}K~@2?j_bLgQf4}A|1ptKip=k4~u03U3=e~L?Dq^UYaIKSS1$G!FRom6vH33BYf;my@#tDZ8CV*Xxg?B!O2XtXwFR!^ndh_Pnc_*rxD6=s>p-C^|5 zY@)vJWuS3I(~<1PE&>WxoV6@46jaTe;)hCApN!tM2Xh5iHx8_qoct~3O+R13^0Tws zJsMkE{n{&Yb90Agk83*V{u)=w70k3Jigaie3M!3DQ&5r_nuQ|m^tuFuwDXIuU~4JX z<)X&MPhm?LUVH5zkEJ%P`d;?yuRsn3Gg$5Z;11AQqm45)7*pD@xFwtp8+9oYEb9<> zF=0db>O1lqit=yk#7(DV_L6dP54yX%p`dCoS*{B*CRsEJ^u3faYWMlLVyL}FNwil| zx$kLI5xqGl>X0c*s}?A0^8Q?BO=Y;Rpn*i2DauTc`c~fAnd@$M@y@n)_WAgnlRHmw zNbO7>yC;dY6hB#i#sa(B?rw)PADk{PWjKcI2Vos&$H%p9yaYZ%R<8O2B`xE(@fvzz zlTGV9_2&y-hqH@!1az;`UI>y&u@iP$7N&>vvo>NtK5=u`XVoGO%*4{uv!i~avO}7I z_=b!qR>Qx5h>#?DHKPY>b-kpPnNgaOsl*H(4+fba2;7F=7ain!TSd^}Act5QO)d!M z;bES_)s0~-&_u-0z^QN`HJ+Ur%4vwJ*`NRFRG0c#EG&}%oc_R;2Tt!aG3t6zhZKIogLM*1-+@N02y^|T^Qw_0gIUnGRPUTHTzsmw145a^x2{yX|F z!~hPLx?pur;yek9h)^)6|2I_G|H!5Nk2gSM8(@U?)VHc$~^Q@f`^nQGXJs{U?lA<5vWKy4*gWfJ*$uj zZEj&!oZz8Rs=WuC;Ex=lf-qgL>lkJ3Unp}9y;O+ZOR&k^FmByl?7ZT#%q%i?x*|LJcIu9oQU2>oWqgW%Da%QFwa~~P=ND)U&x(Q zeIzeGCLx#)t?sm}9Y2M#$SlM%=Ph-hMpUNQzI2dNvN{nX7i|!8N*iJMxB3U?f^LMs zKzySSWpJ`AAu@(6@jcj=9AEl83)O~KfC9v>q6X*hc&w&9GQA_EHU21!LApdhAoaHX zvY5q%i&8T8rz`vjIyz+@B5+nCISmBYSQ@!!jV|-$SkApvCNgcR^6g;fr+$vV5Ygv} z0^27ogBqFL$nq5sj%wveKV7dpN^HM&0f)^qQrZ%z1l-|2e_q|F&xR2EWegaRXimvorw-_hV-ZwdT09%;#(pQqy= zYTf@P_W%1V?*C|c{~z9v7oYK>h!hlJBDY(Lm0ss|k&%&Y>=>X*B&Yx|<*?*h$m4z}{duMB>@)8@=S*>cDeGEJS>^zf zz{I2b&m3`Os{U&+ABa2qeDU&Cn(x&X%)cRX`bpA2a+RHaZc*{ z-Et0uLorJ3^(kCmws>e-UA2ZHMn~Jl1>edcpO&`v^7*xfkteh`%^;AIqe%GSVKJse zEG#Ub_-LzZy|opDDv^u~WZ3(h_Yc^buF0 z5OSYvTnIkho_tDzwfa$ttUdkhLYM?qK!x`jlZCZ)$GC=mbKWqMj2iiD8F3E%@0(0j zI*>q7gc2g2%6>0yIA8T$+VXed?51%m=LnU@dF ze|NTS71XCFd(G#1kx@}b=X>++W2p;YKMz|H(o%iw%n?pt7I}?_jqdR%j5>R}TUIfY z8Am9pCYPA3KP04&sTAO^B$o(~40Bk{yfjbYWGS#6763k3Y+9OvvNy=5Pc(Bc#9p=e6$l|Ib)X1}T=Dv+huX{jj2L}ho z{uBziH@5$H{ccr1t9HUAAkZlD+`(n=y}xgLh~0(2R)&xl45p#y zK?ADK1lJ76rj|8M)dXP<$Ai49TZNh33(a1YfWWu`7?R(v<>E63VSlc-bm zk5=>p2N*sx|2MJAQwPP~HIx6Aj7PTCgW^b_o4ywn@$&T~t#iYV}Dsk=H zhm$&U!DaIwn1qDHtk7)_!LEe@JhyBxU)YC067Z4 zG_V7bw@RoCln`3MA7)ob<0ER12<>)QF)@)WHU+751whuU>gnjO#ZPfmVt|W2yN0sz z=ZEN&G%r8QfKLtDMLi>a)y57N09VHJi^SIY?bBKp9wj?3U$Cz+aUMV>SVt73w zvc#ac9R9&kb)z+~Ve__><(0n(GGn?RxS{;fj8_U55n1#Hw-hcCnCQ;TY$%H^Ccej5 zVeLf_Gv*rD3PxofUa4H@CF$RhRm%oPKeGr^=8J-z&ZAPZcK&LmcS)HS3kd*4(&IBE zWm+1(s72h+J~ApVtXsTX;h##$9F%!E z(}SZSv@8A;@F7t(3U}e!{FT#8BL4?+DKq-__!(`4&%TC^j4bv1Ht}BA#hsPqm9EzC z-4Uh_i$i{GvT1XsLXIcK2LX*DhWMWpA7)l?tNu>S>ZO~tcdJy$@0wb5^Pb^J-!VeK02GGCqHRk04@svh|Kf&wUvQuy(B_*P9b0a}DFBX};z;XrBVSE8$KuH$;{Jxt|oKH}t@9b0N4PxP|^zYv`G9vtL zC;hq_T(@QUF~$1IC+uxX0(5;-mANm3IH@aKS8Mz2?OUwm6a*9gg}T!+CnaQo)(G5v zYa?FuYb+9dc+L`3pu6oaV8WaeaBYiJ(Q$Ec4I-Bz=m9eQ0rY*T&ukgTRZ$sA#+{5y zOso6tchMh%@R)%3Z;$4wZ1@7IKkWu$i>_$Z_}I0qn+}m11dzx0lM2uPDF#SsIQ^@i ziAPaBfImm5oAp$Nm~TKMVkwNt^5Bd0gunFsb`CySlo1sRy7SgqZ>)=7^Y5RG8${QR2XMcB&fF2*I8ZkJ^}G)9aCFJ8M60!?(B z17GFyO+pO1QY@^?H-|vdag>~?|0MjAs>)I9B6L?SBo@MK}@Ay_~BB1+*AgSSy>O zxsrZ60SG8**4WCJpDQGGv!In~fR#RAt%o5XAV4H3Hdg59)Q@w-+n;i5hWiW6;B=dg zhnTulQ8fv`q)6Q^St#?W;!GkoZ0)_Cz)H|&A+>})T=~Eli(EJ|8ra|v!Lat?)r7Kq zaEz(A4-G11zh#Z924gRJAIRW=kg(wnp!)%k=$0W+cXw5BPYmcgvmrh;wZo%+w$X8nxFpuVDD`VP6yHFSvo?c$g#BZj}58VaH zp!>Tz@B9F91c_uoQb;f&?iZWH4C*+H&p=+LmVqZGzDY`p9M&e2XVk9|igM8#yD46- zw6QBMm2LW{;+RGfmQ_vj<);e6j8SVMjkT-3hDInv?`h~bBFT@r+)cI1GR6lQ5)QQ@ zw1El(dat555Rg#}ox&BC4uZ&a%v5*|pokyxPyo^E`(sLzcqUDMcv!X)Dr7m(yyo0j zKWy&pA^WFg<$e1`q@nM_1DNDH1PFuzHAj{|n4jt+Dx_2x13U?Y1L4;b!;+|!E_%2O ziQ{LuDpg~V)#*NG(|p%E)o`$ea$`?V;)e3v@^UO7x{zc#>FM9BJWhY<1OlO5SK6e+ zxOmV&1v8xNv)6deeNl9@v{~C%RW{p#m%l%`1KFbQ&I6UQb3JYHclv!(frM=Caf93!xt zqbML>kOJtK<_Jv|8Y#|-80N2k`$xkaxG5znJW&3kV)at7#R$YUcs@F5nm!lIM^no1 zy|NU%JsC5IY~MIu*1ucRhpH#;{i*X-AQ|jb_BeogG#8u^2(Wk8`)`MSYZixvq5YLG zU`syxUgSeU=X0?-iP*}i7-JIq(ufr#BEbtErDck(Hz~x#63VHy1))d;V-mlGgj5Zs zgNDgwthb9kymu>XckqDnG#9xhszp0|X7eCx1v>u0?@x+i*ofX+ za{7U@yLv}FXp}XU{3%7F;9QvXWZ?0hFaD0?8lt~4uCtp*hso(}5t5R2iGYF~;Y+RC zri+Q#5AV;(#6>UH8Lh|FV_C>v<7HbCtJYjJ_$rK*hDpn%_L07w3y`J`+}pGB-Z3WE z{#oNLt=!A>RVMjgth?+bUk1RD7JLEz8X*(|wgm(SvV@p)?A(ufLfoth)U8gQf8z_J zC@uC<1mS0B=oQ2m0O5k|%6RwpR6e&|9|=ymrLZTt`R81u$(4*k3*R?s9|ek3bhY2JT1coSn?j zxDa}D)ZiviM~ zk(!n+@w`4s`OVIG6*XKRB!L5&Q3TH5R2*o(ErCqs^+xT{)79n=@AmI+TLHrzNU;QD zdHSp4l!CBUK($LT6NtZk%WKzqd)6iI_nPtay#uF+F7KuzQ>%GX zP~!k4Ue%dH?kIf}xkwbmd9bzKaLSJ%8e{y`gV&SI32r_7&Z;x{)2$b;7tU8Y!*HFu zO~~;G!z4z=#t>i@R#sxp&c{YAI%4XOaI{|8{nHM7d2DyvPiHA~n$$p-p3 z&{p1olHnR}czQ?CYb!r-1?Y%csjhL9e@~^rz#!I5}zsNa!vc$L3geQdI0(P*;&QdbvL;R}a&KBnCvQRVVP7@!K zm&WOsp%p2gpVmDUeM1AC&iZX2r@<;(Jj)n&Vs0h_zc-m zg6n4H{+~$37#o>>cU7vtu*GDVh&4)=I=Ly)xtP$CU6D6K!X#wHxyws81rv?ja-UsW zyZkpo)q_6Isk9s^?k7|;%NCNLOdW>Ps+BZE4bJZwM2Z?<01TYM+`?g;4=}e8b(;U; z(~Vo=TQan#%ZLD)GjWTHt!tSc%6O=QQYNDA=QtN!1qLnqW(XRbv&O@dfj-$brbHjs zH5^E@z>Vd-x8|0?iIKK^PgBf``ZR9_A3y7_(rnQDy?!IZYyIY0c>sjUlF_s#)Qb4W zhU5l`Y-~Bdnq|d&AA^p|usHNVc1q55)x*sKv;a80x}X?8OMVlkX=9qDPeAlZG5c-% ztH2Uj;v?l!$pS^>uPn9NAZ1nmD!==?CZfIL+vjYJ4Zr+jU3u zM$q?I^@I9*q6Tr~EhqSntgV9MPWlLpSPCOuIoP)L<4lSApCuBIaMI6h^(p@wsQ4I4 zUe7AGyv*W!GXF@KC46BenJtN4oCBMZr@e*fVN_4{7Bcng7v|M|Lxc56P4D+=M{?A) z-A#BoKnWcfiy8nIf<~W$6)mTwj9cwA*httv`q?)B9lNrZx^}YTYq&m$rOmlZj~Ooq ze8;|sH}+^y3T`L)o(6~Dqn<^b#=&oz_@5rX-eZgd%m+lK4`Hg0mp-vEcQ%mWosuoi zNWSHvRn}U!PJ1FqP=XW4E>^4yhMlRgKECskl0xC(r7|Jt;C5Ub>tRo4=!r*c?_C?g zKp1mGIv4W6$ZVc&AbJeO-?8d9ve~ukOeja*V?oc@ja*B5%MpG{?4hcR{nD!6YW6d| z4F0f2%Mtz!)FJ>7qdL^zU}101)@6!TWYzriHO7Y?7_2I(hVgr8Ye_>u_93CCRL;~C z86zXx%2L=tm1;I>q$3h~(=1W^8=;PCo}=Qg6p=AjYO%uft=IGW2cRWt$y)!K7&zWH zWu4fV;Dle>djKR!~sQ$ZD75nM&$L5*XVJG$Msac}`RFt~ZasdWt zXi7Ha?KeKrByK2XArkc%EHRSEWl zbKgm;9LG$|N>@f*sl542YhxDzhWYi>lxh_vEI~C2zDZw(DmXalJV4Lo{1eg`ezO$?>z8JQa)`+YFq|{w1@%xG&Mkl^u9@-P5d=w3y~Eexa{&T3|?5r za|`Cas=6#Y*{6;MNn|xB*UbiPf#1A zo-2Ei&YXvX5T^l}ktfvfvf`*wkiNjj?ucC8*=CCb{o>3>!^x_T)lL1+jRF7j)S1a=^0=f5!k-)XtGk|Z z%J+;*>ZcNCJmTzUe9$e2leIHdnTwZ5nP(QCiz&G8!8SdK86>C*94N;1;_0Dc9OLdh_5IB2!x}(Dm|CO3LxiFNPmgk?ZSb+&ny@*s`_N5{%eF zz3YrpPcDqqC3m*1asqmLxm5@K(MlB4n9)$L)+FCP)3w2FKNixo30A7f8H<*oEU~`L z!+;AfF0O|VU?;BP63CFD<=g!G=a=4)l=Qx&qJblUB77;`bIGws8PArEr6U?f*=XM{-DZ>)gqXWraZozPyD%67?DtnL0lgNF zyw3N63oM;u4Ob8O$UJ`k#T*a}9G#rh=wpb%|7sJKq?VIryA)v=Gck?hZ3sQf$xI^pYestSs+PB&?_| z3RH|7*k(bzx%v02Ry+6{7iUi{3KzyrK{Axe`P z`d)(JB9%giS=&0%*LbkDTHD!!?1w(6_U;`|mYlvhbr&cz2%i2@ffTh+&}{})U(hVc z+?N6Z2j`^Ma>66NIUR9vmY}8By}&`*z(|?CBx)j+j+nmVbEm=x;3!4&U?#UVL zGHt|HPrXGrdc$N#W&+S?tD)`t{b5q6!|#t=Bd@l!CQtgfOFd%(i9Lwvb&vjG`iu$>#Xo9%Wm`&->d5 zYu;I1J5v5wqPukM(|~%kSrU!Rvzl6W&VH^Ri;EVO{7lu)dxft zw@Jug?DF6#3Cf7?Y1G3&Q)uy6BtK}gk6xW*!&nYjBhfLv3kv^|@&@z*OLc`*uUK-S-XYT@+5+P( zq#pU6pZp&D)4V1DfOUm~HwLW-Yt5AQAYu0`ej_FKxSp!lcjPShl&JlO9K`(LEUoTtz zxWg^PD%HtN9)(z{?E?0zjyZ>N=_PmeZ-wv7Cp@gQ?VsMRnKSg}3hv%Bq3xf8-po8| ze){zEbUx1$dLX1KpY+V&3)`ppx)sF*2??+7}_EaRrNpkbufJqhZ}{zDo2< zVj~+)eXhIXs2$v(D}&)mpv$8pUgknvLmOdkfh|u?Y=+4(jYe(4)rsCUx!Tfr zfTj2SFVT&Yh3=RhEq)HT1T^KUL}mF7M1&E-s#?jXj!0o&kvkAgIIJlUsJpZN(8gL~ zeymsimY?qoCU^le*oumJH!M9QtR<%0MZ|^Yz+kn(0-~AKyN+%+PmvY>q=5`aL zS~NuXi}r`U{tBtjvMVYc0%n#J3K+SCg(x8(wZ}OG1j4WPTgjp85V-^L(eu4}1VB`S z^8WaaGDw5}6VvreDo_}{YcCJ#{nMACNkf$KKG&WaUIyD?aESFiyz{Henqv{w`5=0B zo$Bg-268OVGMxt<1LPxw1!}Y;Cj=U3YC~pLro%#g-sGj}tXwKxHbcx3raqaUmx+pe zN|?kLK;Q*54WzM`g$J8(hBfZDJb^eLY8lWeOA7wyCYGf72s02`=IqY0Bo;mlQ)G7c z=_bS?6MPe16swk%rm!0IP_i`P5We5bR`kn}EO_-LyBW*=+vf+cFV>3WIF^_NhWG=Z zr>A^+daa2Z76=L*GEnFsgF@#^GTl?_i17A}kJu+0&qRJ<7`JCIw8{G_Wj7H~`0Yu# z4fXBJMLVsLokqWWq)-f^NIDCd&@tj}tmK6tPL9mD2g&2qhvK2yILgU@q{hI+9K7Vc z#?LA)27L)Xt{pFl`5#rOuGtWq&z!Sd^DXfsn0-JP87J;+AP_%n+s?OX14*$`s_JyGZ_qRsFJ3zTGk7 z$)S;xNZ&`Vxb(Rv2YpJ_EtFOCZHP{>UWq>u%V%(`djEW#u}g-iou-5D$~qx2vGnHV zL*PL(Y@}^}Axg!doYaXwece$4Fs^Uxy?)jvpMPL^yRcWkAQI*vT~Rgri=c}EseG1;v$+L&Ya-h6|> z(MJ)qd6(G0<$nd5ZV}>iSn8)_X9u8>Rpy2FT6oHYfxW9g{HgHyxDhh95W)9d#j<|5EF+BO-4wa*})q zrRC%aios70o}yv&ehs-rk#cr&f>C6sa*)bB%_u@nNf(?EA(rGz8PaU;y(NP!Tg(t; zs<!(-?QGAwO+8Q-LM_G~ri_vTJ8-idw<#fvCCn0-}!bGUD8t1-!$6K?0+6gQy&G!((?6ov@l34oErELU0zqYVX) z(e?3=epJC;Sl^1skgVs0J>ip2@x9xP;SW4Z zC(*zx84A#Jq|6$PDM6hqRZR}VKIk)mep2w}S0&}s%1CR8MTjz=tpvRlXp5t_lxMTR&s2P!3 zcC<|mO!R`6%}={F9^+LTvA22nc%{vw1amO)eL=tnoe}1NxQ!2GITV(B7rBtf-ne5G zz}>W%W5BSF8kd~qun9TgV(_JtX*q8-OUtTa7UQdNJ`V51zfa@bZNe4ZtLH4r>tJEx zArDc_8pqEBZ3tGwhs%~F$uscUG!2F;7Y8n*ldNW4{^tv3(bd;k(BqUcL6-2Iv=!LYEyn+}y+L0`+ns#9k`r@0XF{;Yn-19Tya$_)HYhlLk(toEg& z*jutG=_H>yeGURkWC2SoSF80GW1`PHv(b4HNdE>c-@}=ov+NIVIm_LzDI;|Z)~Olz z>^A!(3fN;CTgN-Q)?)ohP(Gz7sUd(qXI(ji1&z~Kilx}<8OL3kCl0-uyUsInZygtQ zs(S`YSrM}Ut;&EIZkAQ;u_qX=8J475Q1%3RFf^l3-s@ZG$#Oz`+(U6`nrwVLW#@(& zu{X27rS9Jh$o?=^z4KuIg*4}UH$QMuWGMiH4YIK z6IX3pkDrirJ^f2{5H0#$P~@QD7r<@A@OKl62@~79)A?&!Wdw4R(kHdLkX8!%y#N=ba-wrkOlK~My zs$Ae1c!etce37QY#~rwio5&RCFQhWYyaKv-dKp~~GUicCDW`pu`qs{cjFI#`k_&kD zz+YMXT9_vVX~copmAP?1$;0;p`st zl%X6(LsD7nZdTW=Xs$Kz0REjE&N{a~69ErRsy>6p5a?B6ArrHDKfhG+Prp~1FKLA3 z_|S9Vj1_I7WTEn3EW=L%%X7M?O)F9?44gPI)wt3^YO1IyHWMG~o(WuE7g{0XNrqCe zgO+6%X>!WWN&#MPv|jpJnTegl@ZzWO6Iq|H(hd)QeV^C1on8$Wa*qz>w{Ld6a|8`g z0BmQx5+8M8M}9x>XEMh^;QN>*VF7>PPW(pJ^XqH6F!*lTPlT!RMn(c_O)O}UDY1{l zV4y)*b1htmdx)&!0rJaSOZpVUvPMqp>!-g{HFdFZKW#jQF@Fv?H=IAtE?RNslSS_jDKdXC}yP2;G#9Ye5|a( zDQ2c^$^f1JjOk(%NI8TBuEw_MuE({hCYVt@lyYK2&!Xq4ORA^$xqJWEpuHH!7|=*F zPVz4%+61o*2DW;r+R))SBUpwmpH1Js0XqiBp-o zqs=D4Q~u=S#IHj|9B5as>+H-A4zApf8#%wNw=KLl*N=Ps#Q5+V4IypTlOLC@!z^py zr56no-)PyUB(K?B8{)~ppTI??!D%c`xIFxlS-EumA$~aCYXeaQ-t=|r0!y(}*Dn<8 z)qNjHJEwM*`t;U*XdHf$w;tN+t#)=_k-@anMC>n3_}l=;a_py8hb7_CPqiXryCs51 z0+`>6?qRH@aumJphi<2TfAjjf8NB``92ECtzY@PD5FW%Jv({o1|2U(0_G40gefg5J zRdJQ$@{9p*U+Xl5(IXV@>ihX1HJZ5QBFY&gTh7??&~ycv;X1{9w8 z^h@fx&-2@22hFufVf#;}kFAq1qnb=`SG{5%a`Ead^)$I}-ziP@uI4qQN>O@r z)R-1dj!TPZUJ_!;=!nyLg;pP8$upGN+?D$zi5Ko|c3HzTy6r5p6qkV5kDrjs z45i6F3gFkqeV`WZz|*_pvup?76I#eYq|LXP6v@CREcjv2db=#DN|T?lx>CMIj=Lzw z=K~uZUvEor3e2SgUA3z29n{}tC^lve|4hc@J)Kj@JELR|ysIlC8T{F2+yeL_{;mt7 z1I(rO<|ri7X!R4^7q|`x|7uZWnfmpC&apn}$jK`0C1V%k>@tXa%3f7Wk`iXkGrXAF z_f*xj1_as+RRu#GLVHDzk-v4%tbztd1DgdpN~Xd%%B6V2BnKQ#^VXKSd%Fr%0QNc9 z3BslRfUHUZq7+;Aq51TPNG% zC-hQQK68`^XlD;F(GsV2w#Xi4az-K*u85S@5!D(?S6)l|W>y@7r|`DimJUAknB>5Q z*a0UX!Zs(7H_Px6A!X<2$lEM25my=Qh?n`ZE@&bweyM0*zl8SPUyXsvlu_NR`d$)e zDu+=LB}V80b+YOXWB z45&w1zM*MKu`?N*bqPf6U@t2ph2<{0xAPB28c)<{-sw_yJ5{8oqoygkQ8_gIp!MuR zT3D}qi0D&t7dQJMq;Jvp0C!VJW{NHaVvleQa%o46y#oPJ^1=>d06H5Ql8zEyNAED`_QnuTmRd-WMCHGvG*=kejA(9Lm1%s0W6Cf zGPGEen)~R&b!6^oa;f~zn(T>a7IuQVP3;=ch>LH}srV|$2X}zCoN{x$fps5D(Ua4r zd_z0zOV6bs)h`cq0-IvH|3%eX#zpykVZTF4N{5t!G=ek?jes<$bV_%3N~3i5kRnJ+ zNP~1UfJiq(NC`-noXzk5JfCyU8=2va+;h*p_uALGuJ7vFCIG%A=>$naRDh)^Pf1of z;Y*_j+w$*%9Xm@5G#9;^mWK0K>87nEaKM3PWvzNdIJHRAzssB?9t$N&zg#5jh@bq* z{{F8Ezw(&b9o+aGv zL2tCCXd3J%DMU^_CIrtc)mx7iZ2tm}&`ZzUjt*_A|GEL?w#NwjG&`ppoT^4E>JP^) z%fU0v>jmzRz$D{#lC-2XdXJpBEj!C!mOlQo7LJzWMLVa`8He9GV1FuFs|246&uLm) zAL%|~u|Q^Md2V}NudpJ=TU_fXR%(&wNFS+8?GFEe8Eq`(i}63d$Mz^sMuslq8Nb>e z-j>p0(qGp$l3bC{w=J0!l}Dk8X7XsvzZT3U=Y@#1A%Pv`&X93e*dY$dva_pLCFq0y zTPLB~&3!HMg|w zNIX&AwzD+zbewW4Ba5DTJAIwB)J6gcC<(NNmxjyh=_wasYVdH9D2~l(dasR>&wTOj zA5C5QI(nD@PFW~FWJ{Y)+<(V+gG2a_5|8gke8eHh#5Dz8IaV{@(bqDI-F|H)qLvT0 zDyWhP+RyU)QmGONg3kJw=|_Ck&BJ^`RcjCdlmcq1?4#nQE#tVd?M0WGetRI&e_0R) zt;?$3#Acj%e6P{V3I35^t9I%uZ8d;+1B85Sdb!`QvezagoWF7WU-YrRw;7 z=hmB*(*$ZcRvznYHnTBFtmuQEzQjg1-DjxWy}e#CeJ^vrCv=_9z% z-V1%d7DDTS0&M=#$r&5Upt8Tn~!&z9f)evPgU;hU#U+m)p0um42!d;bpS zdkiT;_)RHKI-3{CD(eSX>*~oQ8fBlEW-=BbnnZ0l7N>`%*e|;5EA(9l>Ss^fy)@yZ zWxr+&HOkOnnv>ONVTnt&%A@6Z5BAH;5lgWUE8Yt-pnwqq|6BjRyPIRg(|hv&KnU)8 z(4I=}V)=zLTKN3JiR)i;j=&as4HBB*)I3o}H7CHTm2+s` zPN@N96CZLun5xt5u;ruH`=+beYsXg|3|uoG7C+n^e0u#Eq}d)2Fzo=Qf&d1}{)beV zK--QoBoG)T{saCDCNXJw^?i@o)-dI&@;G38ueq(gS7d4S4`^nV6J`P^2-dQ*A>bk^ zxG?)A)Zs8qPNc~peK`2_B=Q%-$=y(+nJq)eN6|m6?4$aKv4x+}+OK4ECxDVDHG#9I zls)oPhKG|{^?Akb>5I4%=qSz1RNsa4@)T*$aX!YW(v(WOgc?4%TX)Yf?VeHrSo0ML z-;%|joY$3L4>-xM7dU+D^~hnja{qg-U znKWej37-egHxm`KoLDxwBEIbv3m)U_Q(H%0x9@1x+p1v=-p%vDN4}R1gv#!kw%*H3 zZ-TfkTe*LN9M89AMR>b`4)mF(;UGHRib7AghwY+uw!4bh@U82&K59xhRd{+8SIpgE zI_8J{{v~!rj4OS)Lib{&g>BOOooSm{6L5vRHf-Pup;Zr87@4p%?g-LJbYCQifeiFv zs+=^q+(i8jYX~^U9|#(djuwF5fUVLmd=xvS{a=Ez|7ig1@7tlgbgh`))_L}=Xo|f< zp5jxuz_J)g~h^iv% zfS1~xT848AJO=i(<+hkFF7Nba2qm=iFert0f!pO;q=}^2`V}!bzlBexnfRY*oic5Z zlAl7(t$wIl)QmU*w1<~xS7H@p9D3;?5gH&aD4UoBE zkqNO#$Jg1KYPYU{jfg2St|n!l?;RIn$?(9~G1BNea#@OTFU`tJPPV9A1l~V6$rLK1 zZaYIImsmkQSZ!HA#!uI{7QTVB`OP?tz-Shi2-bB+cm7})Z>YoedbX@yb7O6(0*VIfDEBm$x@*ZRl%|9T`>As5O!k7EugDa zWWsRMO6E(sHqfE|XO6!}!`p-$OGQsB4n%d_>QS8zlVrE-ThSq6aiP>1HCm&bM>ojS zCIJCfR03_@*g&@oe)_MpzjApr3bO-EPY?2Ja>9KLr4zN2!g70*I8n(Ks3L+De@?i# zW9Dndeq>zvAxpmv#FQXL!{}P<_XH*TvfrAJNNX|PVDeVsXRk#<@V>bfsb68mXgFiI zTHl+_ZNQjgZ(+nJ^L0^Q)w$UZh&FENhp3M;4<_ZD92!Um@I1uU*VmKeytU6TFaTJ; zchx{A&M`?xwMG!RsW(f z)dOv5#v^`mm!|i7v?s-PmZmS=)-wHwF}xAI>YBviRxhnXg}8{%tB%&UY=hQJ$*GJHq(beR;bret3JAs^_57IrocE_|tFUCt()kP^M{x z3^mV|dF*Y+jU>J7gm6VdT26^6r5-g_5e}AZ%=Z)Stu7{O+;A_3-lb)?!8kOZ&!dLKPrA+`w87e15^Rj6@Uhgvg;R6wdk z)9Wt=kO`$PKllCUG zdp2gir+EO5=64kG)XgUsxT;V_|~Zm_ZTX0OM;umXy4RHAJ= zo1qq_F~t6;a-*F{?0Yd!0@`YdZ?^lsQxlZ_OLNiB)YJV1F!5 zw5;wK*-g|oN+}_?bad#-$eMmA(5+qp+UMso`+pThAxvGDo32dYh!|3u5zi0~--0Zk z&*RS4=R3>K7%F=`RqQJdd^4p~NP^pqz@&Nt>p5P-h{cn|kKGt!;8ikmV-4bIrc@BS zNGZ%J+gnzfL{b1Osz+i+NK}GO5XkuSboc{E!24n%iWUQOqx~M0R*;4pua9>Si*R6u zTZ2OpdC?gv!Z`{b73m{-(b1m!-2NAbPkAJ0JljkDF)szWgl&C5C3tl(@&Eo zzQOTo^ILIze!`bS9`n3{Lay-FVk^mHXytD}gb<6v!JrH8`>bCkEwx5(=xXt3M&vJi zl+)SIibD3|XN)U@*~a=x@DbQjV2f7<2y(~XUv5fDuUj+4E0uMu1+l?^);a36%0(n;8v8R^(SmgB8lTa4D*vZXkNM}>;(+ZpEwvN5mFau?i7DZXu zexl}7TX8*2+Y7)Zy6ku)wz`oGe0XaBFGHJ|b=B<7(Zi`EP4`QdVFBEDoM`DcWbw3$ z$i$<82|Jv-iKt&QgMtz;9#c^`Qv@G#D-o^yn^XMMcamoQ8o}CrSDSW}f@gpn#3h~N zXE`XHgk=bAcIqlSNcoJIU8Ip7AHHBCI#s~7Y_Z_M0p5IPKc`6B%i~TKFa9HY0{TR( zzAnF@cViK1Ufs|GPIuhFx_YB`_S_YnzxZ%m{+!{(N^?R71>)u&=U^ZJX;#pibq$oZKMuY~z;b8G(lO;y8YPN_0QB7Y@J1>gQN%Gr==P|S`p`LEs5zkT7W`Di?xaHGM zdNO+E@S9>qGoo?_9Llz{mwPmYoVFaPenW9>h0_=m8VG0gp>T&-8?$#T-Hhh4REgPkJacByr8LeM{e+NwOX$aUS~y`R z&&G7$0;EX@p4g`c=TN4F=#w0PdHl~Kd3}AIl0D1%2EL5fOCO3XLDxHz&y(F|<@qbZitay*P~pLO#5=4N9vcO&3H%K`1{;j#iFe|jx#CY-7HkFk z1P+~E;5I~^pjyD4=W4Ri(4`)v5@U%%Hq!}A-eG3vMCwqIFmWpH zQfDh&FM0QnL;JUKe-i-zdGX-3e=u%`4R7kMWmG)wrTWFMmtQlAOHF&b^<^#Cb#~l% zv%XQVcF`a)kl6Cb6sX5$pxJharNCX$eMkbpP~-0KgU=(4b5$eT-Q=~2>d;FO?sc@p zK>PDX6BXlgUlgzFFI~kUj=Fkd?xS`dC*sPyoX`xoI+2dRD;+}o(_tt(f^2d$Jtk`UKzxAjHk3V>x2rr7>&UJxq7d(EX)gAL_ftcic3oZ*Gak& zH8Sfk9li6`C+uep^D&++wWNS98wT!`_X8Xgj<@>|=Ua~z{s`ZAu#6|z09 z9|_xeWBqG9bf!eK*Lnzwz1!bAS*(H{21Ua*mWmxEZ-)9gD=ZX1YfoBGG4a3|mlm#( z5Z_|7nZTYfJu$x;#?1Zugtro<+>kG5gaC5>77_+*4e*7Zs3Q7a``&t)Sa_MekI_|? zzgTDxb(S#x^)ouY~U3_+el#?lKoYI9z*l31MnCN_x;T}fK^(R5h5blaKdMwrBBIyi z5=6>&TCwh;eq3VvfuNSbnofmbZyo3MD4Eysl$w6-O|O=!v8&~C960(QI;y_YYiyc; z58qa2vEkq5CobapusmGV`A~o;lMdT{vVh18_WKd5ELrlEeh%oH4fJ&RV^2Ao=m}_l ze4i&j9m4012tOe}4bRi+OS(aC+&bQ9N7BD&j?p)@uMLs3xMy;GX6(URWn0v20W89jRWN~!DMaG8qKUYYl8oE{wxhy8Gg?;rWA(J$f2YOp1(5yp0z{?3 zGv|jK{1MQ)+Vm%Nr@VB77Os#vgF27B;DqfRDhBo?|r{l_g)!cNYLzaw+9bT9f8p1No&ct{jb z3aR8MtUImH8;+hn%Sh*djk8AJ?CA#2jyt5>R@&lrAPBeVfhi60c3`QpI%|IdS>9Pw zErRRKCX#|6m4~LPocZd3oQu&!0U6qtQSz4SHtqKT-8jpCx5W8)ZzrIT2-C@-yk zV$q1erkH8c1RZZ~=SWWqK3#Y(q2h0fL@{OV{DcaU)>0&}&cTwMC=>nJgMCkgp30Q_Bv>ufQhBD<(AqZWs>t_q&_l?2 z3(Iyta0Y&>{y1tlrbS>xN2M;v|Ou|_IRiEVOg^vcMy<6O1olR&kfd=yTL z@hui*V1MO{#{W@fzwI`dc+DY26j+1S8z=;lyxg5A+L)fpxzN{z-&U62CgAH*wyA{S zGSpV$%&*g$5kwwHa=EbPOgga(%MJd!0AcxGuKX0W{c}~zSP9bMTCvBQ{;e+i#BlKn zv`3FmzW0ecc~NDve^5G8A){KDGx;8*Qh1f)M`#^#BY4%GfB~e(69WOFJhMk}C)FYS zWcS)$XQ=5{|FS`DSi6Yr$S-JT){GFW{~hV^livkalvVMK4mxQsEXNi4U{^R|alDRC ziF4QoZHyk#A14PtJYtOjgg_{tNSk}jR#*a0n#8Z*+6ZUXUErxPyQ5L#-Ww`lrFlh~ zKTAVgo0UF#VJiTrFRO?VmceL6r%IQj*xEi_0mo$qO=W>MjpK8PBjuOOF#8J<<$k$F zr&tIiI#lf|-rpEp*$U^mPK4k7YW4VZ!YIu}S3Xyz?GGm_oP}n}HFx=kukzDw$ll#x z?}a3btlsUW$s>BTYU0Od%4%5!}FIy8dQmcMQm-~Vm6 zS$r{@CXs?Nhra0Ary-6k9it*;j&k*R!y7Jw&kcQivgAiz+ef`7B0VNn#WdK&kgR08 z$UfU&RG#H&Iv%r}pxt>KBPjqJt}X_?W?g__sl@$lWG-4I6*V13R^LxDi8M3X^wKeQiL3nLG$}Y@X)LR#%YRpUoNo?!Eqb1}D=iUu}NC%up?`S=tYvGmfm|bV*GUtj2w*Z6yqS{E0Y-NAC%G{p;t%#v1 zHYvdO)t8EQ>@B7J{c3^YWscYz!MFYk;pmW#zVgbB6Z?ZXgpeLG$Y+OJFBw^;;o3H1 zc5{+VJ^BK(KUNGgXN^biF917xS6POuT@fNIsY8^*xk$=Z4`WXkS<}}`!J@(jbYKVQ z${lg(e!J!e@M1xr+587Q>cEGdO+$=q`W3q|Arp2#_1>TZH>kS6g$H89+SSm+O(Nfg z*cx_>ut*g07Wy@h@Otk(kBG!9SC2WIFV$RZ5``FTjXus8M(yq-@+*^mq^h(Y%x>TK zdxZaX<5(-ZgLg%1Edfp6%_2)pnI0tgtX~-gLeNndqm^vETQa}4R5Xe)Z`wuu(2mxD zqW7z+Al|GH$C}Oeos?sQ`*AnVgGUpWTC%RAQq37aRyg^A2)~y~R&`6+?8QL_Ztp2_%2u$Z)~fvrOP2tR9Lk)uh*L#v|A5RMeSW z`6F2JhjPibPkxlZ5$ZGGL}sF#-LFfMZ#JFz8Zew{XCp$f-N*Ky#?WP|6C4eFV$!f& zK>lWUh2F~j;7pgXS$Vb_?7)k<1i+Kq^MD|UB0*pDEcH#NPBJ3e6o%=C!zk!m0!0wR zQ?O-tXcg&xQbknNnAyuV>LVvAtT8=HQw$u+7|t*CnHc@G3)Rx!4RL67fmLC#!rT)N z^f-2rAtJ3UWP^1%Q)SXU-_zWL4;vcn=p`i-Lj)|n^+?g!j0i?y(`T*Qk|Zq*P2|8j z!dbEV6^L;B^&dH@)sA*o)r%sQyJn1Wtj6f;9IUVlTAqgr{m4qx(V|^WnbZZODxEi~ zjp_b!nUJPc_Q3!d^6=lSblKT2Id1}m zl&38Jq6u!>#Fd@2#AmX$V!he+loU|zfs)F!I_#x*fR3B5;S+Yj_Aa~vJtq@yaCDdf680p zjnGJ4Y+7zCOXJ~=>E-???hz32G?q#xbKCmu?^^!w?q_Dd%(Drv?co3}wNa*uzoN(B zkt=y&ZGha z^Q0%9(a*1@X|@xua$fz7NkT=Dh1v{5WAW-Oh)qpxetOjm^(urzOzV$+9^am-G0T3ZU8iow@&Rb z8M{d)^BoQRUJrgELYDT56ln!nkx_wZ8Z!C6F>&xf^JhKR8M8^+PZ!EOr%YDpM5YqZ((koi+jdnkj{^W#Zr;`=@KW1 zmY^j4cc7G-)NgZth@ExAYv;e+)meajshb@;c|@Vns=0H?B5(d}V2#2teH+cwOcxjV z{fqS4nBscn+aG7))Jvct|Uw$%3`aB|ja80r|xAu+o(3Gh{(v&K^9q zuev7Gof8Nn_d?zsZnL3PUbHl({WGXJ8}Na;YPQl~QY(L`tiI|yzQviZ*po>xR?dD@ zz$`Hn99z+I&3p(mcBGh~W#xL+kxA4R3!#XaFaWC$>Q=u#{4eYa}h#IF7BTi@~zV znl?(i!aVwrgxC~0T$RM(#Un^}aXH~GZUs`SU%3-r8g50<$gYktNV3}*>K)!L35_CU0yVD}Jt)@kVLf&u1?6sPKdoZ@wB@P#iw zvP%Uxv@#{GB_7IGusfbte_$kWVY4seeN|OV?OfKTK2;AA`>3jPcQ>urfQx#O(ZKUr zv@#tcLwKpeYB*wZaLwPoF?wb%c^dN|=M<8xFJp1$~$3sSS= zG_N`iyY5B&i4kfnmy2|6-O_YlKt}L)b5KcoFx*0X`uhtGq_lDsj~~5q(T-CM59fO+ z-fr!0tOc`wGC)VLQS1<8e4=6Nd&9;nw;uvN9gerHJf)CL=VAWV-wUN|>77L1Me*y5 z%T7*Re{rZ>A|&|HC2pACx6CfzxtG@vB`_`S#J$7+%8MLG@T(MiaJ#1utI`Ko;z{S; zL4g{wOfVhGO~2Fs2Q+f5{jjS*Z-#7gArz@`qnuylRR3jH0`JdKI7zuKsFUohu#Kf; z2THyra7)I*8D^@4-cq6L!`fqu9A2HAFf|j^MNxaoFq+Jw_6?_ats_83l~M!0!(a+)YA?onj<>g zy&K8Id#jl3gj*p@Dv}71&~X~A5!1;@t;;$K2q=8|_Qni8f-)NfHjKV$KHbliLf?A> zjHz6_1hOk~g9ySQPBmI9ORG1@!4`Arq z+YAJxyq&1GolX?41ni^LbT?|a)&3U5= zeDM=J^;tMnF;SFbucU88>v8I+VT4hw-i#g-lcmTY`aWZKZ@gEowJl^jE7v(6u|hl8JS(lErX`Jh@ zA5x?qY5dl${|0s1K?=g}<5HW8AEAI@xOZ8sg<=UhJ;7?kbHRn=7xPhQLTMIpEo;if z&wH9miT@7CG)%0_zJ2u8XdIX5RSt&C7!|VBwz&C)Bs3*`CuIFZPSD<-+R)3L>i%wn z0LM8;nVxgCbu!EOPZ8hjqE4I>Z+ZW@97efslrMZPf+N!h%^gN3}9$ zc@K9t-xA}sPiKXqjx=UPbzD^P05Ahmd(sM137WXJE8?}!lQnS*)u|tnd>;t-J&xM` zF3b|R7}}GX#M#qfm zmI@f zXa9XzY%6p6~+?vbj)|LjyY=n)z>!^WGXV)FKz3qSi~f_1W)w90$QBChu)FJ zl(il;<-&2;~2` zwVzr(9Ao`dSnHR;Cts|2u;s^Mk69s+A0cG%o>!2AyOhMmkYs6&7L@5AxFFlBS*Jm< zY!OxHF)LmK>cR<}KV(`{(VA~cVe}Y{7M5hvL6TF-l0(}3vfp_3n`6sfCh8nG%Xn11 z%o3-{U8k8@?je(&MTGZVwZ}<;8Iv3P0ZF19Iqwptalk3J0DkyNmk(e0E2uPsh?qW~ zpfe%Y*4yqPbI((>fokMoq1euyj-C|StFCT)T=2}ugf&8Kk_9ME#8ZJql+&eA&|3fG zyO#K|{gp5U69GM{|4l0}SMjOOV*fdGpDO=a#m)FVx@*c0dJB5}aDgSFecDi7kkU!VTp#M|85K^yj2 z3UiUHT(qlR2aP9d*Nk6`=b{Ti2U+>-%9%+Ysnq&Nd5W~{P3%Wej@3)r(Fz1!Ae^R!U60E4D$r9ec(#cPiSY-k||i3#@( zGtD2AL~yM9C8Qa6_1{LB->-|vVyuy)B~#09lY!ykc#C>3>Yu?^;;D8%nbg;$Xuq3d ziMQo8GznS&-GRYmXgOElf73O%i_ttoPf|STOS)F=iXGzEEZmC{2Vj#4U;b9Y zd*1n}zNt<&JgryfdIYKG*DWT-jyBJ%(mCYezEVA5aPZNm1B(Ffl=rtvhQOF?$vS=? z=gw5pRtrU*S7KxZTxej$atAR2PMoqQxz@;;0I#C?*M;uHH8b0EYJOD)s7~=KVSRaL z7eYUVo4my~lsU0l)06`K?~CTx$Zf+IUzPe_XmQMDx!Hh-OpS_rLq z@7>Ry+BFv^^A=YcI!t)rEP^=*a^3t?y)ywm5Q(k4PBgmwJk>ty>@)EBKL+fKHqqyD zh3W%|8p@9RgcnPi-yWHhB9|ia+p2&%~l0AI^*XZ*f9t_$E(7@ z)to$Bjk|4Ra`*xRU8;IhgMAqwPxGx#`1?2B@0d1GzeEBphd%+=|MEX>+0yOYyz+UL-iwaxgX(;H^8I3+G(jOku`O`;Lzzm-Ny&w zWt;x5G@-UO8cPzU@h_*p_bV$Mf0xTmR|u>nBfn_;!n}>y+w0`qF5xj4IOt80Zw)&1 zUna=iLaH+mOGta$R{6tVIPBQ-d{EMWI#pek>^L7|%7A7AVSx~;_!Fl+tSVm8e8x|tzVK{95lki$x1TSf_ zOe0T<&}+uSDR%6mfuWg~knP;pDfa}v-J*8YqWCsyMksilo?>i<9X1b$9l zqC9$L2$4{I@1?}NdLN7!kMp1jvicAQ=QLdQ0=QGRFAfKroU`I7l&M69EEXY9hSpB$8yzzfI$hRkvT zGf3t6GvIY17uE3M8xcF0Uk=AqEjI3|EA{6-dBaP+W{m=jbAhTk@;x<;9>-fEBBXGd6kBTy(1ryGAW2y(~LB&!haNVeCugT+2X;E*i^eI|$ zU?UY{Wa!BR?&Mr}hC%iE1Mea+iAt!&q*vux3Mvvit|700*MvG4y&OUY-pB>V3k22a z>h)<&P7|}>#_4szc@`j$AAXgd=1jFXR%l;_dJ|!HvV#5Qlo_jfSWh!P1ziLx`!41R zYFg|&`!z^7#g(D8UKB*gtvz~8OuooLfQv-t;M?EiwKK&9P8o5@1)AnOMK!4FN!-7 z899m}uzEd>Q(lEBE3=7K)Z|0H%%@aeTw_5a6vy&|^&bWB8d}1KG z_fL>Ua!7-u(E}?jZ?{5?Iv*PQnIQ8mwMg{;NcMf;bz0__ z8W22j4}+=X)z5la!>Rk z)W7eb1_Z7E2 zLzG)?Qm3((9En0tVxNDhHF{O{qKh39p8;uv6V%%2p9--nBWIOQ^26Q2M>%uW} z4j8TNe4p~h!u}}{Nyy`u`&dk}LRHFyrW@d={DTffU>pMQ<upgJBxi8H zW`4iRx71{rrx4MfxoEC{#i$XqGx~s{93UUK+*oy-_A}!>w_axa9#RnH>f~0o%KqS2 zTkukN6(DX3V%(K+l?RJFIieR_Zr2d7doUpwYALNynM<@3WX z;Lq%?^9a>VyKH#_Pd!fYFjQ$u3K|?DKntJAU5J%EKQ{&G+klpPyvvQ2`WdC4FBk?j zpDBFPYtyd@4Ago(@bdZZBwDNoO36-ou$=y&o5g4VVmLr_qBMEUC{D2iPj76O+F-DQ%_soRHh!!P00cXEFlYS!2oHw80$xck&m>S6XY(4 zQDLFujgt^^@~E}4`#UJAF#>g ztQWbDKKQnNJvL#?pK6}d>6BBLGTwqx7HgmLdG~QiLR9wzZK=Sdbc{Bt;x7({l)*FI zY4K!#ePIpWj>`#+!P2@R#ul2MPynx73^0jCi#)My``ZiF06oZk*ww4 z5hHM@{gEl>Y0ps!s+jM^ht{humDYprl%?EqV8QJoc1@?yF~mFkV{mi_k^-ryfjSE$ zr4}x^8fq_sjzt$RMs)oV6j@KUPyRk+YOzar-{-+JUHXp~TTSIjEVf2yp1J1HS|}vT z^cj&`EZ?0gu#~WC9d(z%20IG5`KG;(@D6|AzrQ+6bFvW%Tlu#}&#^ckIUT;sCRqgj zd$XrSj8P-ruZ%OqOT`}k6dexvKzfTIe_Rys>9eazaAz?qtU~?eh#4;R>FB7kE&Vz6 zNa_c?pOZadE43W53v*bOtV$8c&tl}YcaZ2ycaO;v5YR5hYJAdLf6p|fIvG8(b5`NC z8)mGeRD7g*aZB?+h?}ixH~vzrMXZom!C8x^#>1mrJ|gn5Bw@3g-08gUHPGT)IS6V7 zfB+0|RS|XJbv7x(9BD;D0vCb_Jo3{t4MlJ@PTMf^zCpSbHMw@@FcpHw*9K05U9F0f zMb;XkXtmd3Z_pO?Hx7e@5`Yw1X@&6H!`+SbCn z;xxPRULve){YEs_CKCK_g8Yx~F7rPxH{=HWS`ypc*07h~x%+pwMPe%Jky+-qO`DT9WRCe5nNMnDO$6y#+^|3oLTrr99lcfsWAhw+tn;Wnx&kPkg@*95qlbOq>s!)3dR( z*AD?cPBf;nPeW#|3lz4jv z(~6noLgUcsDf*tz!0>&p%J5M?0<67>%rAVeOq={RR&q8en4*wFM^eKpDFHXj2eZ^R zRWXxih9P^pF+>$?1(gz0WdF!D1PCJ7jvB8NfP1dD+-1W+dBkaW9X8do$y!p8jH>_2 zi>uFRzS#$)TEA6U0$q~O%k8~*&RsVrFpWF3?zF0~b^hoAV!ttJ-#Cz&I+q8bhdjn- zGS-zBFRn4G{}0tT!RyZ)`$s~oaHjRkEZYVR_jvA=(b<#|Bf$Th#QECXsphR$ts?Vo z5y4ml&R386%h^9`zhg;PHPskn_F6ji%QT13y_W<#5|F!8_CwY7)sD*vXwzwNFn2{ zaLF`YofFT|cN(b;5WyT}{xJ4{RJb_h0yPJ@$6x!cIAdfm_7HHA%Xb@mfoqbn2aT}8P&7z96`Ubt3+3_MsN8c3h3vX1FgEiHdIo#<>w$z z2on>ZGqA)pkfr-VoA_=1jE1dPC0bSWw3iLjr^dTxbK@v4i&YZvk8z@7~rX826?3?7+|G`nn@M6|_2ImI@ z*c$e?zrVYk;C(pnHeRoDz}l(_5(mJbonEc`8;08-_p?#?5h+!~U)Xc7PELbp|2R7e zdfLC85##4gA-XjaS6)yh2se&dm^Ey&Kb7g!Jr__W0)P_Eicn2RS<#w$BF_`S5-UMV z*XO`qX1i0;?|X*4X`_+!re{6_AqZH` zsGi2IZh)=hBIFLhJq{ZGxl;m5u&wPIn}^$Al7@)l%9wg#du}_h&kdJ{Z|Oyy)fUGR z^BEGNVFXX{sZZhpHu}=nb<{*c<|5&8<|Fpxzp=xb`__FBBPMYjaaTrdio%xk|3Jqx6ygp7D;jtr<@awUnU`Blsh54;YUzjvh}HF~8LQ~&Y5jDbqmXj_ zyy_QKcGZ{i)AZ&MsoxL9n!mF9S>K8%K^j6g#$o0K`nLCnc$vJ<8CAV}hmCf}VAHdT z+xySiF@axKFTal-syWF=fGa6bAWs6|dLqrmV>-vC19n7Qd-on+jmbMc`(AJPwZBXI zWx=$%B?T_v#UW{igq~Rn^M>czUu+@ge&6>YK(Pc{49)V=N7efqn%nEJPIG^nhi!4u zsn;5uDC`mQKA$qO+Ow&IZ|vV1ffz>nZ`+rt+2bG$yDx(zQ+qC#R?B1iou#PN^N{Vc zzUhIp!2xZhN)7lIwbifc>%Q~3Lg-u6sOPd3x`v)?(cw5BYJb-njV5G`Bod2KN6PEI6>pH{2?c5m;o?C8f8ON69 z!nj(AUR%~+Fy+-7K!E!#Kt#VTtrkjUfPnyf(TJJ^n1lPpZ-0A(z|=x*nL20%Jvrv}_Hj3g+|zAE)Bq|4 zK1V!+GPZC+fKbx)ZasFZo=`VI-ii;{GKeFS=l9M3hV{8OpgFrSzjG>Yb4m3_c2JlA z^ukHrPVQ|&Z~eqt-461Qj&G~GX&n|@dLui{9B+GcC@GHnO;0Y!pte$`D#7Iy`b&m8 zN?ENPMzEc`99=mLIj5nL5=`uy`QQTy@ITPh_p?}N zedNmlrpOM{3x_N*M8ul`N-LNu2z|1z#?`**1)>cA>X}DkWn8(#_~$k^4UkkDE3HN6 zAmI+LhSlfPT|Z8jzLiEvB!#ns2!8FbyZcfp#;(-}`%DZ|a?=++;G2IUF!mkTDe50v z^8$dAN|tZd3rw&xhg)x37w_#c({7{QB8K@Q9K~Ah8`=VrmR42t6$NK?#xYm>= z%gIUFy@YpRL=WpYt6I_i`78`M+1$wTTR$PITerlE5*^B&Xi3s1Zlf@006lyrB-m3Q zE+QzPv4yQdUh9CxxmF&%(c&EcS53YBu%&?F_n+043^+}HtuDTDseTOF=fTBA42U;+pExvVn7bm5rvUR`1jTa`tT_I)kHN&+- z6I-6}sLxdx0&!ffe*FH&1?1l^;fQ}D`Pp+^Tkk?hu->Ffg2N`*lM9L2Jy{lc6ZnS4^nUDp@s8>#N9#zg@&GD5qeZ=)mt%BcYx4r~>`8Ig6m-cRDO&k2gL<4Y z<2P?jG_8D)BK~;DLJvmO&cOeOc9Bc@j}H}3xSPZ3)MqARIGI#=9nanCyMxWGnSUHHyPIN-dWBa9yI_GAjTdv5H| z1~<FZ*)v)4&$rK}W(Sh=jf2g%Nnu4SRIW7fQ+@IaZu*wq!z* zr7gc?h{^I)S>WMdQe8p}$}#dR*p9f{vbFMM$3p!kjLtB!@|HO7Macf7@j>eHT)-Gj zKc!P9K{@1v2ufI{gb9h z8pVEhdlep)-CXD4g_v>;)L@wB{NqAKF$2>AwQ&w&{N!uE2USsW5?CE}k@=*ykECq2 zXK0^Q85Kpy z#NC|#jUFKTaf$XY(hN+&1x$Mw2m$>!BNvR}buwq<-&;)feku+>(Xa!J-}}yBoWK`) z!}dki47LBx7V6hl{@kDtX3!98YU!|<)eOt|(_l)%Cmjd7D%;J79#i=y*iu1I{rpxg z0>{GsGf@7IM*|MGm>~*{dyh~yiI9vWva)j9A$yO6G9oK`B#}Krl4OhQ?7d}vkNbI^KY#yxUawz& z^m5v%zJb*?~!0ihn{eB zmmzJJbf=-m1Z&D_11x{fq$fYSGgo}y;HJjda{%gP~f*i`y)q17caYf?GpC2(%>pWWenMU73M~!{P`?N~_e+_NO z+dlmi>v}!ElC@k+3H=P7{Faw4Sg6M(rJg?g4x(Q=TzJqLG9}#v-H2C+LR4sTfM9jC z&gyA0%66M|n_ZuBz#=$qi1Y0*G(aJaxv9@gs);633Ak6Vc%iu1>R4wOt^Z62v4>-; zx=u1#7X+m9Y-SI}9o+*GMjAFy9*1>P(ID>w(tOh=Qx~!!At77YOlLSCL54m-Szf#g z$M_$^iTkr_eG)|+2UE} zWe>ABwlLwOE;TOIPjka@P75b)>p79J}+>4$u zA|#ooXf?M@-$NW zdB?^AUiK~36K#OTx}N=c%-dJriYZ8~5_Jnx!innFHR>C zFgFe7TDA&W7gb%0E0P4uMk_E5rH^e}whh)sr|sK-cju?jR2;Hm^m*{{yH#bidCE$I zv`p_Wy-gmks%AzyRcjFO1o}(3N1jb5B{BGaYqz1$J{X)CI?p`n{5*WUB#oOA<$b*< z+9u^q3>P(R>>Qx()_B)Rs$zWk6I!O>D(s5V_EaYMNz#Js(l&Bf2znOgGQV$r&9TL`n zLzPdwtTO!G302qpB0Gvoo&0$D;y6Lh2^uwqFq?gRs`x9Rl3<{*!_0{;ge#*>D4|#9 zhi!{XF*od>R{v>hwu4f8S=;c+2s&imX;XzxEd0WZ8N2mBKEmEe*DCD3Axb6K-U|mR zJdB5)kC(lB`_tmlBjgGZ<0YhiS<_JgI{!~PQyDv9pylJpIJBnwl$lJ1k@k&V*d%=I z-93`jFeYQ#LjWd zUG8+WKeSMPdd>J1V)-(rhF7&YNoy6Gai@-WuM5v%{L%|S1z&@{asJ9(iI30o2!#A( zl?7VZFXsj6$w5AN;za8wDe(3r>prm7^Kggwi^ACxO3SVyhLZgWqwrx2Wpmmy7nbGC1&KUMjEt4TTAw2s$ z4Q;Pv$PlNKy52VBrtP|bIY+-kPh#q}&Piv&M&GHI^{A5o#Al6RQC!Sfst-DskVoXP zcvIY`#7Jh72=9ng9W&NIkI_m51{r4z-B?ezMe_d%0rM+^dM`3&5!;7YxR4(~13$qR$Y*!cUjgIujpNopLUV9+- z6C)XKJ=!!4pJR~$x~bi6w!GhiR$jVjaF${mdx6;*!ur#bFLgM?Y2rGa%V)WdfrL8d z`OkL(klO>#wT{m&#_M+T^GX{Wr>BT9TKI_~aPpZy-zDa_R6<43u2z7>Lx{@PUmg1V z+07}xOuK3wWm7dgQiLiDYd0;Crl8=VR9>T?Xwmm3(b3_~XT~+BB<1gA`a@5q!hCCx zd8*f_v?`&pvR7+%=JcboAywdjl?SU|aW4a$`s*K%kM9OHj)QAVX6OSzXfCq9h6!kI25{jZ>z59RhtVoEU> zv#-h2&eeYrF?)*0C&vtzCsAkTYj_t$R(+*5ku<_W7VaF)TwH8kj=mL9R>uRc3S_G7 zt(ecJl7wgj$vGYhai`McAEY&!Tra#8dfJ2)EhS;iX#MAPDTN|!?=7X?cW-UzqLvo1 zg>(f%4%|F9jMRl~wlUP4x3d!^$E)l-Jl&q}Dwh!E=4w025xz({KJltjRwz8UJo@_h z+&%N}*7w-+S(B@i@C3C+0)iRG${!icJ#TVI={ap@i?I{3CqTX!j1j z8QBlmgj?3Ol7o`SG@%K`2GNT^Lbnp)zBw<8xRc7#R^6dlEb_N&ec0a5 z#zm#u6!vRYR#UQ~-wjy%NUv>w9>uw$J*DJuOXB9uqP{!a0Y%xD%+I9SiqzN39Ehms zK2-~}nG_ssgdd1nZ8;T8#H0Q&JEmj4b`Gph9lSj~XC50&<~_6cwdh;D3A^;>40j7% zpmeYomi(wcFTbE*YvYul&JDl8r2b*UpgzA{dF#xF4IdX{_S??=%sPAO1_sUi2W4eZ zQSO}kZ{g!fccWTLrp&PR*px4{<8d1A1q;TP1dey3qm;@k`uv0%FhtjhmqxCNIZ$Qi z7-M(4u`jLIU(S|P|IZ9#(qZsmuw`#&z+N5}U`{*5Qr?|DGyNVeV z{_=XU^Fn7rshzrx?rvO0`*Z)Px!u62TwkN{r)cYX`t&JFdTMIq!Fm-Dc27?aML)s3 z5cx4-@!uartgK$9pN>exCTdY+{l9LTf9WMtGX)>2YZ+Ve2-@t<8>&U*=M6!NI}dx-z&NJ`x=k7M79+Q>mq;wY9s8g|M-)Wfm7}STqg}>OHZv#6Uub zn9e^HD#L{|f5Dv~Z=^j1k<9#j9Q7pbmNv=MLUJl9i>_DK5d@lLXru@)7mUQiMO{Z` zuXJHHqh*FhM-9^?QMiy^l}t?;^EBQDfU@)4_e8GIdQTyTsZx`4)Xy{tTkjoW5|a2C zPhL!N#IVkd$EqhK`1Nb@oV+|+`dC5Kir$YjiCvn(7`XV}_Mc0fporVo*Ed@2$TT}U z8y6q{vcLb{=;&zX)82P)#GP3&F)`nvM8d$kpV^0c5Fif-3{*_$9WqLn_9PX0`g8EcW;b6`)VFWn*wZ;=WEemS zOIb|~cVnXNO1M%0uSqR4H#a^B2?@V|fX%%xm(Z%)t0QG2Cn$@KsFnx{u01b;GF43K z%($0Qp!P$_Ya9mCShbjY@5aw`snF+(KUpLtX{TNsGMM^o-)`vc?d=`;N5mpxa_3G5 znVhno9=U#rQE*BM?TiEn!xZR6O!-|f2nYzEAFZV8($?2ig;;7jy4A#t5w;rw@+^U< zjXx4U(xs?ezR-7cbWlsVabpwEUb2I&#S06MK_gq-dG?aSRAY4YlrLRHMTL`#OaCf; zGM^b`znSm9>pm}D(EV_>tbh@Bs^1TVJn$-hSA-YHXwp-EvOT{##rVeSIXA zRy_gL)nd4KcqC+Gfq>zduU*4}H(Oz5%x!H8FH)`NJ7Sq)-z$cSrfd$EJUm*;j%7~n zo|&EoIRS6&vfZr|w(HoOPvXdNF9WW^V-XLJic)IwJqwy^Y;2^K^$~A8*^oK~sb(c} zbC$+`3v|V%4Mt_VoQ`P-zw6T7(ciyC#=SF@UyCvD@s+Vxxr*cz7vqBnHP&6av{O(R zww`KiaPs*U$70yvCGy$+cR+VC-yC#*`?|M0kXl7p@)90&w#f~_xA>8iJOReMq0l}> zzs$76J(8kK_1-M=13?ukUSoMHD|Y`eGl#;K@IsKqp?df39pc{>N|c?IrSPAdiHV6h zRXhrMotVfXB}FIy%)kH7V+#wGL^TYA$!F`OkyDni`-ZXWa{p!dX9mCElc^1imx|4r zOmX-peNUd1j675H(0oOTMJ}jv!yRZLWi$;b-=##W9;h znjRNSGHx&?k^&vg5K>Z7WH1Khu|H%WvOp5qjzdIr1^H9wPE=4(&|?}q%zN#cBK4oO zm6ZsI=L^CG^ri_pUwIh?RbYDGh}cnXOg3nfH%{7b&QN6K%5$5nyHOL zwW@1!e7x>KcWG&9M|&g{1|s9NXYC|v0Mc*4Fo7RtHaDk=Q8w$1$17ZV1_oFNC7)>& zsJ5+`V8iUSBfQgjNC&1J*6W@GNXvOXf9+`1nz>n7|o{N=x3}M8Uhavil_hD(AgFSX~dOCxKh6Zy&S6p)P zhsC6$Qmr8*q zAtBkhJg8?^rNAP$jsM==E#Q4%4{-uB|Ex{i<*!P^_q*ptWZ_DN6^}39iDfKtljh{a z$-Wca3g4|`Y8vzHn+iUiD83AQD(UbSt#O^3W(gjY8~M?VfUc%*)j*iZL z0NH&eztak*gfG5llB8s0sGDZolz2ArDudR(^GDbwJNM>F&6;BTE>5Npf4HKU=UO=F zf34Q&_35dP#ye@6ri*ha|FJ~X>SyD_ISu0W&z{XJE{-g{2^FyDz-g-2&X6q;wF{$V zr;MBd2ZL6qb_81fWB%rUYMfi=20m!7>NTzur+@$c{mw4eL#-MP?OpWnon$yaILi@& zCq`i4R#DT?&_I$SJ}!`QUGiUAvaYGClk3|}NlD297eQ=K+SS$6-Yxwz;u;dU2SK}J zzz&pcIdYh!J$}JR6nuw=hmY^a2ur&B#ql3Qo_`G^fg?8c><_PCa}KhmK>{OV*C4hs z{>gzY}G6Zl$XH-aE9j`#X% z0yY!A+U@-7y!G+P*1^U^B*Xx`NcsJhAv`)U2cKfI7IbFKRZqTq_pZOgM6F0|o&uP* z{}?ac`SGv`cnQ2291wsR#VA8-Wo2cwOG!?SW8>}Zo&J4uuz>7GPY*n)muYEf*t<8A z$FHETv8*R+ps@^v7RtG!!IuL7O^ZU+S;8z-U?wL zXj=rFQ?=03+e_u(z}I+`H96i{Z3RhEW_E54WANwfReb!xltb_#h1v=R`$Q#H60g0b zmyp=e=GD6JDka|`w0p%d23&EsmfFfBTb~Al;68|uiRt%F^l+HVH?un z;s*oVuwUt5?FRlwDYrGlz!#%11Og)oKPBNSw#_F8>jNp9085Xc9U?NgQ9wpY znzbwOx@nT@=FOl-`K6G^(fXS5>jBU3?=oh%P^Je5->!76+DXZ&1&na(CKp#*z31*- zU0p21<7|Iq8?AKTBPui4+NxkEmJ10Ebg;iT@!r3B_3F_~C=)VRsz*yg(#O5%$fKaB z7`$*;QzH%n@}Eo@zZl0{#-qf+vY7JO)oie`3=RpwHBl(iFCjf}(W!Demk$zD9f*fq_^6 zxZ34{G|6dcao=i$fQjRpNEA+$^`l{+h~2QTc$|J}c{x8i(ZXy7=-q4wn71;&y|?!@ ziRU48nlRQ7jc)Y%%N(Nrx;af6Sje3ZQKD1^1_o$g5*8WR2C&HK-;U+$*RSPS_5V-ul3c#u#-T|AEv_aohk{ zY3Q*zq3C$xM4gGQ3tG(m72qXyC@=Fq7svnEe_Ux!`+88HCB-&y@B1Tsm8)M?UQQezA205wIzk0@7`kdNMB#9-g9yhd88r;YO_o z=kRq~(3$r!Gpt`3cj zB{KD#r>F8BX!^8T;8APrM z_f69`si^=%&gD@k5p;w`&ox+0esQr9#32%L@*psfmaZ;UkM*}gPs^V#Y8lsikOT(@ zmw*0zr_8j0-=YKm==gX=Z}HP7VRB%_1_#Lx4i1)vil`J66!<;1rteHikt}QFfS>l( zk}7Er#IYzkog6$vz~AuE)guI@Xio+PhVAw0sVv8-M%vgi(7i?n-@h)Nfs4XoVx5Ke zi_l2y*-O?IUoW__(-V)82bKJFSokA@vrDXhS(h$!*B&bDk2`{#YYT zoCJ@OTRv5E-%qgsn-c=%8=`<%trV4g^0j(gLCvLK+zcwG zs|?*;T`f^GLQcC2nk6V~f71ppb1QW0*UTuyOU|VU!AWYvC?bb*8ca$%Lp@RI59CX!oXcK!K)UZOw`7Be}5b z#mUEa1=(BsO$Ii7r_OCXE-5Jl&7aS-g@TYkv%EdjJd-B|*qj&`7~+2CJ`K~h)6FkO zYf)SXunzbM9NKrhylS^(Pxe=@$jQk;SW9NesR8!U^nzP_Fu{t(yE(Xkzh7m;^RNGbL;`T4z1 zBcKx<>`q8X$kwOQ1f$H>UzB}u%n7J*bso?c>B{`_azTyLj6#ES;k<{J*G(wl^S^a< z>AX%#x(RqcyCIkA{oTjysL7OL^Y>fO8#m|OXqkliqM zu-?rQ1AQN#`qq(=>Xu%+mVnE)`%GdEX<6mvcX_m7(5>U+4|&W~RKi%Lr0Pr?&}m&7 zl9hoJBNf$$1L$L^KU~xcaEt=dphDyBV(&<|qSEmk^8?!Q0E`TML0Mej*_iN*vyqWe<)HV!op~Hw+`>bj zi}SOg+8e$XXNTC`p8w{PD}4UB0Hbvk*ppkgZnb)M{rK?}o+~owc7nEXczmS>AyC0& zWn~3bFur~JcC^W_$><#`io1L)pw$8d=YifB3_WX6hM&@I;Ic=-dhoUb%+KI798ddY(Z zZc@^O=r2fhGy!K(I0io^NZMaWb+nbCWMblTH3l_q1`3!OZ zpzHbYqj$Fgv9B%zImoiUxf$y| z>3PM>XFIrKn^Fzj0*c+_tr`hYtTk|kz)l8w`k+rP#Sx-#V}o96fGiax+1PUWyrQWE z6yCHaKyUz35J3Px1j~1UbHf}D6maJP+_33cghG4&&59u@A0J=IKRqnHw;FkF8Yrhd zuwMaSEYK@l6ciM;|B6dW`o27W3bDdYhKOW2bReo=$i>;&#uc|BHI*(ZI+`W9J08+3 za0t;or}yvQM<-f0H&OUjXNaX}I0yWae%afhw{P#Vq%WvP$N5B zU8XYgsp#`kWg|t~n1qBxT=zUWAVMG-`rbDjp_9DwPtVLOIXgRh*rG5aFgG`M*oQzf zno;lx>1%F!S=S_ln}KOT=(DeMJU*`1In$V5VDpdxJ*UBq9V*-d4RHu%>(bahi&_Sg_ocD@MX8_m_ef4CFB8Z8cTwGXpy@m8XOWIG? zKfuuf7{hPgdI_IK@RF&i>3%Jl);sCnKScZ_xp{bkMHF5aHHhB%4NXIB-|IXR(UB>& zlORC#N^3%Rew`LrZf-GJPMN6u4VU~ zwzs#pJ~F&^?V5Rk&yY*0@t3TDFZX*#3UoQrO?QPKJa}Nf^y|Ih$0t`I7^5r2nbF^s zPn{vIJvEfdTEs#>`oh9OC*U8jcj;w)3{|*3G)~qyD;f^8egCfZtRtMgtE)@FNY{Ty zxb{X$78LeSDOzr7l@jzW$O;eKqAcsGMd3kw?JC%y1sl$7tlq4$o^k?1qTyb>(K-Q8Uh1_mB!-??ZpBwzb>Nq)Zk{ric- zI|J~vhLOHcPh(e*p9}OFCpC9s=xp)hN#0IPH93sJY6YSs~^-X zX8^WDM_o{Vzmb^tkieP%WZHVweLrKsGQcO)xGs}!Of|&Fpi_^pMh~`^+MCecEiPeqk=9Vp8-Ue2@j{v z#)E7%)_5G7dESm1=o6P(1aS36&aZLH11e}Es>j~6rhaEAmIl}5dsPhquc0#3FE(VU&tR1C0N4m&F$07TZ)L?isnUCbu}8^Zf(?U zD)1)H9c|B1i`rAe^1;l)0y^$aLp-)s?^ zurQpx%_$}TCgoLCw{P9T0G{)@J-hYe#{p0-$PP%7$?&1gXntuaELQdyhspPdWoKtc zctc@zaq)w5S#q!J$$xSJ|GU|hp`sda`Gyf-P)N{Gfs)4v9ks~G$(i~1v`6QZZGf6W zFB>4t0sD6zIcrNj?l5gqY?Tz>j9tpy5(mHGYc?H2S<*WI)Cs+-OT z#y>wplM}#hhQ4}5x;9Z)ZHgwU0Z+|k$I9C79AEEg|N8Y31oU(__6SAqA3XC_lAAf(hw2mDka0R(A~5mJ8ggbf6E#QrWWq5~QPAZig?a#Qbhk?26f zo*zGmDJX)`rA_lotQwzxf&h>o+1lbheE1N+7%Q5ORF1s^cP0R9IH!=65&xQ+8n4wX z^co02hp_1A_L7Iy%s|t@B%%v(gP0fn5Z5XIC*|biJOZGjqN;k!*H;#ddTnj(SGF>` zfM$g}+9IOvKgNTJ-d6`pZ1i%z^x$8BSFH!~2momjQ&Wcl7unj@Hg}_;u0ujnk`;K{ zrt@PiAm*Kx`>(^)XF`OBjYv-J?wx>DNf;SRhfS1~VwH2ORd*R-)hqx0H1mW1f0n!c e4+~{KFEB#zzr3Duy{wPGKh@h>N~H>q0{$OeY^-en literal 46329 zcmb@u1z1(#wl=zGB&55f5lQJr0Z}RG?hfhh?hsHAB$Q?$Al34&AH|r-#5oM#{0fwOrqW>%3@=XV?ZDf>{loX1}MmA2aVa`-*s<#0-V{^4V@*CZ)-=wH|r zF!Nr0c^5j&^d^PjU0+szt65LgjH!>P0fY9W|H0+0liPa9fOumiBWL;MDmU`1gSISr z+`jH+^UyWRb94kc@JdhAIY7Y0!^2}Il+TC+F9vQW`1?s+T~T1`B|ZT&eDl?RWoN^V z7$oQQc4NG1q2hY0L7hDnuR_TxIEz)W(TX(YV6kf9p^}6zeks*FDGfF3{#M^;wI}YB zniyOiK|aIkna$o-&+!M_9Wg9AIvo?ORcY{Ih>9Wr<|Q&PDZ)3CJ_>>@yjLbG|A#yK z)DIBYWE#s>$BR`P%BMQ?}ce{H%VEi-Ky4L-@sq^O2}Ef2;- zWE%J1A1Mtpl)@*%*`1l0E+;H7ieMsc;tM6DDVYFoBpB8eWf7Omv#%r4xaqA0=Bp|^ zieP{|%Sl#RI);jXIbB_JH9j(um}ehK|L?avb%&VS{v6!*bba}ZfB&3) zi?{GJ+I}-n9}(Oca3&otMT5u{ngDOCHc@Ztqv}BC4F=&G3=T1Y2Wfr0wQ`T>a%{Mr za=et#gAUq;6O`_^a7`Y&r1a$@k|7Dw5L`^>-jYfYECk$ovqV4LJ1}WNrlW(R0t=@` z8-tX@Tyf9EX3-$^-hLDd4J{9psHs8=ODWof=OU7gkpj-YD`$|#ubi~iA*BoZ9fNVM z5zgX`Pn$gr$!@0X!QABWT<#Y{%|XSY-4XlhWzCS@ReFELw(nDm6OHKmM?heCL86sB zmF-+gnXsDI(^0)JT%xG}DIL1hX0X+3cxNQx8ZyL;hc|#dC^+#_N8oTsLL%Pb_DapZ zVSD-l9b&ZfrE2;%#k}5E!B#8+9i~T25t+w@%lD2vfj*0nPw96kuIJhk?%hs%2v$H-jk}b~;V?G>rkAce`Q!Tj8+9`@4trH9O)Yk@NeF(RJ|TW%c=w!(2?5%(^f)SlavJ*JO+PpMMBw6ESU?pJ4q zj3GyM?@CLb&=3>~)wW55p5M)$kVY|${B~O&T%3=WBWH3NN-nJMH76O&5{fHY>Aj~; zSfcTF#$x7_Ujav;mfP-IlH*%b-TPdKwx0YU6ZNrSJNHY);B6q1bfG0zqJKYp6hd+h z|6W!h(yOQ?60qBWHJW2vIUINFsw}IhW5qLbC*q@%MskmDB$9HGHB21rGJs^W7uWd%dxa^zgT{Bxi}m2 zWU^MsKR%<{rHBc^bsoC%Mz z_QLXtF%0UwP!^m{ZK^3&FZNX}zxl3{W1VLA5K(9>tv?X(cXB0dAz?cD)5k69=lu01 zGgI_|I)cA{8Hql-l-9y;8MzQNf+*f_<|I!qE5zjD4r+O_dNmYXP1K{=*`~vkCmLV! zza018@5l)|9$c4oT(_MddV_gqzdt5isBgh^XtUud$i7#*VBS|mRUh$rKGG*fCLx1;Yf#m4-Huv1|1hdoBEN5r!hi9_qZFQWX zG;O@WhG+SBuO7^K{1HTsC+T)a^Yi>kB<4B$L?f4H3ki}Th&Onvr%L#H$G%IK-@c1^ zu^z=z*7Tx#X$G>$285=Esk$c#0l@BKr4NH`=smkdj`Q|9~uggQ04hTVQ^ zn^(sdW5LT@z<-xWcllgRV$6MJN8{!H~o}#N(5WKC8S9pJBiHL=_-5weLJ`f-XpDojmQED~j(Zdh>0Ut8WO&_1lw>JWRDE_aYl9%p(QOXe5(A}P(M$PGJPP~QQ_(-U^f&s55AFsEb)u9z>3s=-hGO8Mipf~M9WG39h z2E4uzL=a=xnH1IWpBp{OfR!7x21cAcTq;i9kZI`K z?O42BaKAZ=|6yasUuxBpaQ8>p_c#a%9@APcs#1^2m9jc$3}!+~1gcG4EFu1N;qUF? zYcMy2V0ug>*f5*)+4mH-8s7Q}moS_PEv#qd!RKu@*k#l1P6`-9^Xbt{3Bl}C{&sWI zLYwCTnWgj3eD_oKF8&lY6$^k6Z$mfvdWW6OwXG-~*b%wuRubZ)n-&T{%TgJn?^v&FGLS5kS-wa7}Z zQ4%nJIuP|k1X9k>R;|S3R9|fT8@4#`g9L}Qh{d_Hu2 zz(97@%J$Dv$w57q#4mxsfUE7Ff+ED7ZK6*2_s3m*)(&-F`$DE1_PQu)J(i(vZ@qYg zOZ_$V-FF8_>=n8h!K~Piee*RJ;K&dOS!`)WOY2z|6sMFqa3oyzBv0muT#UuU zv|7)V7)*^)Gp|+-=^#6*8DJa-b(F@P(jUlJFlr z))=2V0x^Ondy)^YMZw(hst4(+E{_t{s}n&nilPx^xbG=qx*aV9krR4jTv?;y^lz=~ z?1G_?Xhaq+)6#n!$QuZHP+#Ax6A_Hzxp8C}Zu+lNDYrxx=s{Mz7%~Xyl@%7Ti0mRv z>gt~#W2m7t+~c6jOVbS#o}Aa#)Jm$KSlY?8z7K<4TzKyPoSd9onI(#K@b#s9&EdXN zICiUx*8!WJ_O!=(Tl)6RcyX^r(V^yts{y%-?2Vk0!ICMpnop@4Z78>OPeNf`U0q*q zTRHEC46u~sU1-^)@DNMV)#vJqv8T%4zK~T#y=8uw+a~X8Xh<`dO(pqMJZd0-rJ_fRhzQz(jonKJQNBPBlu zUsT{{BW?p`K@Oy|v(xkV0)@Ax+Vm-JG|0p8gG5gtC^HP5&9Fvw6l{AU@w#Z#gy_50 zDo?9}M>lVuI4*afyMNV2<*hbiNN>OF!+OCqCP<@TN@oqj4fM-m&3gG-%;U0uYV>lI z1fu8YczyEFepT8K+up-{q3 zdaUoXhvnR&bJ#8dT!SQy+9krD`^sbXn)vGd^HzRpHO>;(xU7g@aUzy#h=f6!v{(n%I7$zt0l_+M%lL3L;rY4H$oTYX& zny(ig=(L9k_ZJD%)z$>f2AtmB-j17@9)ovAz^0wRsUJIl^90U36%vZd6!BQ8owe^g zxLr69x}u`F8jd&|%f2H7AHI*=o2{d#d}wNBW|kuRT3T9-rddNn3GaENH;zf|C zYEOuR|H&tpMY(*Hi;}jhCv!drE$Cs-r)%F*h~Hlht@cnjAVVmHoRLM`f5X~C(43CC zNv159z^w9h*yi)ZSQOhc)y=z8WcePynhUtUoo)+|SU66pTdMQlt#iD&aDu=(aU^0- zcc)f+CGNNL*wS>*Vs%1%wqzz`~#0Jew3<%1LuCz0RTJKi@hZVr>u6< z-w-KLhaeD)C_8KPeJmV+7X=WX|XzSpyhJ#DwMZOdUK2C#$syMrmOKfo}T zgsIm;F$F!=!kn!abfLIl3RM@*llvHc&CVh~!i^uL$*;^V-nnz^>n>gqbF|$!Q;N9T z^(nr>#~T@i+2&_3CJK^;BPfg=c3^T!j#W2j^YQT^KpGnxmz*1p4Y)oDIG{o@#C+Ue zHIst0zP(bTGMMx-!+q};ivAS0sA#Na%Z@suX<5sej@eVPKWAqqo#EJ!z*IwjGRQZJ zf%Npa4}gAAdzQYhvT~o0$yLq}bV3ZgOuY}|^hGH5KP?%VoD82R(Ok_u@MVV2>&=+N zEde-vSYjgH%?e2y>}+rLC|sZ!A>4TB$CGktRaJu4Klz;PTv&7d*Lh!@*R0Xmzq zfNiOX89cEJ(qizx{Aq{*kqNMGIn|&I#VuBQ?YpCzjc+?uMr2>7>+0?vt!v*P^Lw#P z;#_1fQ-s<7+#^7fmya)s=!r(;dGn^2iK}b1Vgj6lx*zFix5)7P<;c8KDbgZ{fWqa> z0L};Yz8no!%m~Gel%`vMtC2}DO&&GiR5KvVZFjQ$;N0}~>hvPu{@@;% zTs*5JFaL-X%LKgQ;XYdJc;qeQv-7KW`y~5bwDqi}e0lNycCo^3S3~sv=A?eFb`}>4 z_2>(ZUs0A6oIbLuOm%G+7iM*QTKL1%d=v*9_N#sq@%g+5O;*6&rT4=aI8n}PfA`6u-HeYU`m`I1EoZ>NCSne93Tt0~Y@J>Z$YoxLeOQ=lwA!-opr| zKE_nZG2X4l_#wZ27th(*1&ycv=lk;){g&dYtIGI5Ltq1=%xvU`HQ(P|A8iKQZC*qK zT%g&_Hxl`r?{`N?+!*^VV;aIr>lSnfv*no*<(XUzW$Ez#{Q2{U@*zDg`ndBJ@Y@sO z@>G|?vM5z0B^>dyiiG8}S%)FNgR1OXw$|(UgO#n3T%HAS{3tM4$6=Dv(!AIPoR&)Z zwizZBq-uNt=;;No>gXSV34!J}P72QZo(x>fZHh+#Pcq$|EcM*ZPd$Wt*n!`H&#n*~ z{H7)CG^z=3a|gBE?Y8wG;fMwm!3d4`l)Ho=XqLrc$_oVN*B`^q8MgQx70;On{pq^lh^XUHk}!KuH$+ zd1UvwY!ykI0ZBZT;t~N4B@CS6l$ve;;qT>%o?-9OCq;)Dp&J+erCBmm5NSv{JnTwXx;7Cp9Gg^!wSfbSpIv#~vdl|FvCosW~Rw1YYa4XzDOOTftu z3xn%M%3-zcXy3l%K3J{b#ZclPc>ah`&Qwa4pw|7wGr1ecA@D=g)Z5YQrvsVF!@s=5 zKdOG%i5pqyh9#3^b!-Elis>P1yuWhO8jO!3b$L*?*3?Cl$D|J{Joi;s5}Dn;O;2W> zoh417Of)tZSbda@7OPM7T3RzRJ5zE0+Nl0U9c5M%WmgOfiuZRu{|EG||7lswdBO)G zT@4~G>`M@OkICa|KF@D8A`o@;9Wge#94MC)U5<7g@Pd8+W)g7A^4t*W3XH%^iaU0q z>Qy;uw?qJtOq#kAX{E6z#2u_8>IjiVrMLRiI6U%OCU+`~K7`<+3keN4(#w{Jm*7w! zET;2?(>k87wnQ@VY++q2x!8hv60Zv%3?v!Jiw8~=W(+dqhsf`EU>138fl~~NP|Dbb zphYJc4&||6=#bBCQN^zeOXexkGtfa5^$7|=QhToaK1ZT%(cecbLPq*wT(`>0T}0~A zKe{oRs)_u_JtoEE39%r2j@Jm@G;C&tlvZ;88w8Qm*vB89o&Ph!Eir55T+)>%B-1Ww%=AVPhj)+Gf0+8&z~g{lIMsG{dgv+Y zd9fUk??4bG4TAgS^GE3s#6M9YQ{ubl;0Mm|a0*9c3%Q_5T+a+0cGBE^Tacp7(awQl z)RtpR`jASieC;V6F+(lIruO6|dOZJ~&%Wg(We-!_D`$qA(c692P~L3gb=|aJwL%{RXtU1@9+%WnSC}FTg(Zf9|{eZ7IV9 z7w}{7mbTs8Yo28lDi9R^$0h0i=_UPttdak34JzJ`8f$RbJRJ0BCD_~Bv$C>+<)<1% zlNfk@S?C05jgEB%x|x}fkg)p8w!FK<@YY83_&fd9)|Mo|mpVE+JO7dV(gpqQPO@b| zx&{7`HFrK)rmxE{o+eM1Ccn`dFHPqnBns{vN)&KZ)v5eOI1;U2iGFgJQrC<^MMX7T zV@uKs;Kuv7#TFld;C7>ZCGf(Q1(c(j>+tWw2rZh*y!I7`z^FXtg6f*r**(u@ERU9P z0!RV2xDWPdyPlUh%740*l|>!eX^e~*lpgm9c!>C42*T%d>?sPr;5W-5VBOvCp*yT0 zv2)5S@10^Y2b%v_DL^epEl;f~ER%E7*Vmt}G?!aA=XY3$t+E`Nv<8kNExkU$=hS%i z%hu`lbVc()%gymmtttzJOyKGOAR2(+mEgNZ?|HRd=maRn3Q!gSbGX3qz1=nJ-K$$P z7%~Pvhxb7Zpe%qkyWlwCdcO&0w)So3;@#fjik#sU{=!kb$G8hz>X&Ams1a<|VRHx2 zES(H)*uHGp|7o44%o`^#(yD?7D@Y0n4`g90+e0H;4+s=G?xQ8W1_2R0N2vNg$q_^= zVDXGl&bXK$XL~L|;;~)~Z@GQRor!r-jwy@Ed>DoH&}b+s(Hkc*k`-QqvU*4w4x3Ln zr%Uhu%(E0SRQgPv=wgms7|B37Ss0#-!Yho1w3&7O7KR4kh5;xu@@pw5XKjiHaH|wl z0q=-hL0;VAG4!bK58#W~#fUBCxem#pRsNzyOL}xQEx<+-o@UZ&*njtaE^SAuD|nPo z!5Hwb$PdpM(DuLP*zG-p=e-_NYxG3JUWQOfmXx0GcqZ`nxOJ%X8uH&+_zcB>Cq`Z` zK7b<1>;zZ?=C3G?iS_qLX8^S7L6DrDn}`MRXW0tB!VL9OQ@Yb8 z`z(mjRtP3Y@?ctB;fHzqiHJlHu>Xx;8y}&p)2*yp2gbM~Y@oa*jY&NeOrN6zhjp0b zfB!TA44Pdl=8{dY6IXDUre~GY5EgXDm0&@e&MXMx8>Y&#w&P?4leoH+rDXRThA5D7 zyC-&MN#-i4EJq?YI0pqm6{%WlC|I|@%1Sy00T`_Fj(AnuF|5i;ybe`e9i;3nEKfXz z9XN#Kn8lmG`_~~cZp3j`+<&bZH4(+M=N`<#W9J8v*Xo&0tYtfUk2Y`4UjPOy++(Zn z7L0jOJ^hUe0gv4(W}8jWmUs^iErC(s1~#Wh=h*|~#`zuop%-{zG`7U=UNQt5aYZ@` z#!3ce!y>JmzVEJ@q1UUQIpyqtRqq2Ipxmgh_@X`cz<*r1Pa8e6L0!H5OugM3CnOT% zn_xy{3ZeT3Q;rQB-!O(`HbfQaz-{a^vb3jz62nLHbUN)*B(xjc`xLCdhk|8%^`}q* zTSoc#4p6p9mzUDjkrg}wcS1q7lKz0JyTA1$4Y)Vywo(!iWfBz&mE%HyMOKr$r7C{ZUBnW(cjawX^F2{MYH`;wVYt+`Hw_ zyM>RM2oGqPKs>-~sbrM-dcWAGEb) zc__g@l<1}Y4=SAf@8XYD)JKU-3KEXLsrz5G<8;l;P7qj(xv<)$lC1wxN+yB_BoB#& z7{ES88v}J!;iQ44-WaKDrvB?fCw;oA9-L%Z`zXf#CRiBwYZTSYG>!CFihMSv%%>2u4dGB?`yAv)cbVq{pTegupV{Cw|+9HmsxJFfBIq z)kM6Bhrmhcl13+&fO`9GG%iWvpDYMfDNgo9WqqWM*k5zZL7)amh>KcIim>`K@&8SP z&;ZlQY3POP26;u$V4S&c2nq(+Qi%*J)>PrNxJtXE(F`MN6Nf<*{NJ((*lm8VN~@t# z+$cYmyLEH=XYgteS2UJ_m9l~$)-SGD%>Y&tYY_Hb5n(Hb{FI$uc*#^9=QeUu3Wp3K zhZ^UjzoH}VvLk5_WNO^nT?_jzrw>bqLiEsz6_kFCw8()09t)Lzuk;!Ex~5Rr%_dKs z?L@hOVAt&%@L11pcPN{G==MyS7;Ke}CCw>JNh#R2;Ng3qyA!!hl~gHBv{B$iGlb4B$9w7Uq3n5`>i35&5( z=><8ogG`?d>hfHbd_){ozDD=T-4DP zL#0vqc=OeKpsxDx?(2Z1UH&=#hD4O9t5?Q}b> z`~kWe+LVD0dt+0R(?&lT1eV(Rhf(y;uv8VlAYD$rv^o)dG5`q&4v43;%Y_x>snZJ* z0^sSuNrP@PB6q$kuebt%X%)mP7*LQKTGPmw; z))p*jOD;Mt#%Eo#Dz=|*benGSa2PqK@mj;Po2l#`kpv_Vq?bd0P^U-sKy40R#G3$b z$+2g9=>BHN>3Xk@KJld_dXQzd-(P(V&KcqQG0}bNW|q%G!~3hL3e(<)%$>A!>8fE= zEu|ap|DQR&A>&2$ccIrA_Dy^IKpq7_{{{sJSPOS&b*Ae-K3p89w#7=^bV_{P@&M9k z^D5N=OrZ4$+xM(0JCmRPU*LRNEH!e&fRU=Dq4~uL0uau6okW7q0S6Uy*}w{qh~Vbs z4Q*`|zZs#qRqk%v1X5Zr#p1<_W*{eKa=Qch4jnb5K?0N*6vGvz)$rW^6oiEXoWIKA zBn)OSo<`y!M61@0OjuYLv}7gF^lpz8<_8Sjo-Zbl82aKhc^srf-(U1f#5)RRT#rpn zX&y~SMY49sFH{f1kv}D);(^zY4;;AX97vq>^LP&VEYP2dTwPrq0^t&U@pj*1`Q$Rs ze)ZHF4;}gV4i|5L@84|j24bD#UdvEor(R^tR#M&&p^h}VXJT(^-j z(ZmAqb4@!^LIGVq1!+P)i0CP6c#nQ>DPShLwKQ`H$D6-pKcyZF-mvP~hKu-4x2IF9 zD>0ls@CpC~1_bdZ!2994_s0nYd}Y6BACgk5GrBaqkMibAD(YXY&X#VZqg!GkiAjU< zYx>1Wz~t-J+O^-^ULSoZ_eHrr+Y4Dd=mk=T{mpjv-Q!=seo^9VRP<82`09d2BaH*P za=Grb3eqGpr01Z*=&8?&c$Yub6!|kndW{7L^ZWbub6%U7RYJsc>9Rndl4o-38YA06 z1cggN6kN!PHBzxWzJG#k-yaUvIy-BshDyRz_NWxP?Jn#4yIXi6MNPdM7*iOxKJr)^ z(=cW+&QmAC9=)EAZ;D$NVM!yX+Wt}2=*Wu4l*ea27`kaox(p9Fd zlLMhE)_|{=giF348CK&_#z!2+Mo?D<$QiwR%#Fgd^gCq({zl>xX}Mrmq<%izNl9hG zyfJIvtFi3xvRydf>64IV=!Jd~dP@2X=xFg4oa8NKdh`82b#!%}lVi1ZM`xh2*+Z}yN z#go)esx`LXn_m0ks}0|MQ^9~!B3@V#4aF72F4#0cVy0{7*vYb*xy6HK7Ie1sZP3HR2X#t&=_oHGUi$Cnu7ay6cu< zZ)jy@%f9N?mECZv5rW!NCG=U}O5zjV?CI;9i+P>0cfwhdBWrF%rp_#H;o1L`fA} z;^VB^0WED`4nk*276xt)&4J}VenW%;dKCKd;yaNNo4pyC-FPM@WhPV@`GhgIody`i zaimYObIA(-mI_GPE@XTULuk657+$`Hz*LpQ!r&5upx+g*I1uOtcOFG;G>ur{Cx$kx z{@7FbVkRQZit*V>QrPrS(o0j`^!_IOd^aA<{OmXR;PmTG1APBDeb+W9|MkGbee>R1 zho6229{!si-#|ivU(9SpT5iyj4Z9QfjXGm0uQnkI5N*S0xu~Dm6MOxGq&BI|$F^j@ zQ(`ZRNyoVj&B)lU#iiC{KlFN(eox6h0UAV~l-1{KU4v4b(9<;ei4Zy+D;@HA3ugxD zK5>a~u4HIR&*)~Owi^$;8)vU1*nC%W!$*R)u%&q8dKF6aA6CK(bNj8=`#A>zaFIj= zs2?EDRu8k;{-IlPd8SU7hn*<*8H@JaAhiNWPl3rqzYBen$6u1t;gilt@?+yASTmj_XwmNIDa4Yzn)L5hgt$ktH zDqg0udLqdiAY>CLWcUq%X+XfMsjrd;MXq?Y${2mld#Gw=L2V&tK@GrmpfRs5I{0*d zrBUi&2q_Zfhh>Px16{u8;~22e;9~Q*^*4`$RHAg>!<{Pq+|Jckkwqz>95Yb)T10N@ zxWh2!8eYI?UWHE7?^YOKg|6U22q6Rh0t-$PJK7RsrK6K*($W)-b3z%BP)q%bgnv_T zo_H)Tx|o=?&riY2O6O@+!-Sukx)ZV{QC;gUzC6a*_uKgWbv|M2?-_t-p~gI6aPdTF zG*9DI_^p3qus`U(#64^p8C`m&IV@1phn2ugo8!HtLZzIk=Df_QcU9urSDJneoiK$G z{$p1xfpX?|y^AqMjvK|4xr_zPQtD)avq`l4Lr;9VbW8wsEz*ADrzc~!jWG&b`$gF~ z6h}#uAH9D_+x3-^tSYhpyLfp zM&?#y3D)7XvTosoZQ(w1^JwH?uM-}f>{~WxwCCq*wA33zH`er?7Rnhzp-WdWDYPj+ z9;J*TKqkv0^If}C$n*k6Dxt}-HiJ4YmB`jqN|g;IWI!J39AN-a4cutX1`Xtzxi7D( z--9j*=V^l8h7Lwv+k);wn=Py&0Gr`N6R1W$2BUAb8_X0Fc)78HnBx;ZkCf2nV&=Ib zH5v~J@_F*s^P(tG(zMg)*R}4f_4R4nDrQUU-lbd}F-(XCR9CajRXyLpVNyg6bZDM{ zS_o(}lK2CYCohE4{SF(|8B|c8h9jgxJ2sUQUs6=n&X$h$n$cvB&3k^}r_#5xY50_A zRlKS~g+)&joaGP5Fg zQ`3A#k-NZx3TI^5y8Vls{CFN5JwlX0(1Y4gw_=_g&TG8}O@6Si zcJm%8Pc~g2B)NGN*m&^ZCyIjd9^|a6IK>zpONqh75ObF1=b?0^)q~>n%r})kePq7U zvY;3aAr|@-WUxIu{@VC>;_kLK$w#G_8JOM9 zbrl>p2C3mZxlRl`jivi9rG_Q0Hyhn}eTIK+ar{ze#xfF2l7*=Q)L)hJ71{BCn# z%gyg?4z2)~5RTbG1r~Jl4$m@3+cjxKf^ww@URom0aiFBS^21w`wVnp)&5S~b0%;+s z(2qQdwY1yefk|;yKui88za7cQg9`y&XgTQ*H0es|(c^zbv$uf(@w8i$;z${@nhZdnl_2|wma4mFM9GHPgg+0P}ZgS zP55KTQ&}bjM}n1O=ozu3jLzw09gXQ8NTFLn5mTX(szjvEmpY{Jn`neo)I8Rli|cQD zu!q%9ien{vxcWo;xZeHv2uKoz0BrroJ#(sD|LZ>*Kd!w#*r@yJ|I`uMB~9zgGdTYH z(=`?g^M`e@>ED}@3S5uGEc4sYed2sD*arW7RMXxzIl zTMTTwDUHFibL`~mPiN}nvP{1_uH)zdJKmAdL>Df5*aB;;JK4sGJ8m3)aV4|2$x5+g zmF;kA!%ZlmGY2N1CWNCVG_Vy>Yz*}uG#qvvB{okX!)@XDD5M@I=T`k_eCK6U>eX|L z%-DkW%`^(C??$kj$4NQ{vr=+q+YYX<>rZ!TE`AX(J6YJ_+x{Xy3MezgNhqveC50oqBS!b_{qbSXuyi-Z>BPN z`)Pddxbce=;RLRNrmubsm@2*sx}}gQb83oYifmmOI#u6TEQ*#k+&8v~oT7`?dPW*-Bnm8X5}vSWfzjp4`h42)myl%S|HrtwtHlooaD1 ztyq(C6~;@PtV+ReoeYoeSb|bJj^R#r?XU=;l4VmI$-&j9vSFVx+x6e&4`h_1F&5-n zm@INV{kZpga`UA~PpR8GG(i=s>7bPY^m0i)!UbP2IDmsQw^K^|0o5~1gU3}9GdH6X z?2fjqu2O_V${6Td;Xspg+THLKCuO|Lzhb9%!sb)XBLY%MYa!*p(6L}C-K~Pro-qDMj+}^`DW^Xz1+Sk37ZWJ_Fy?9FIpII^V(i`l^l+3wE<8xd3 zROWENTp@UUKLWaPHxGce#0Vb279l;J+$xSRl~y zAmSkvbn}}PHB{a5WbaAHbal=H#Emk3sgDod(;|a~ga|7jQkZUi8ozlxwKvCijuTAqW_IZ$2y^cr_7+dRTA1qyX~1_g9j% zSY>x#MVl_pBx6SuUxXP zDFI-#hfB%Rjc&HezE9Jnp9;Bsm0{>W9L(=%T=H89LW1j^qf6nMJU*wPCfnMxrTL(k z<3F~cCxSTt@z+Wj6yq0#*u{myri~%6+;~csmj1^Q=S9&NsTM|bSv}xQr=R9eVtO=R#eJN3+g#cn2NX|hza4f>)xZ=~ zkFr_M<)nxD>&x6}<)IX+ zy8XhqAb`~e0r%G*Gcw?O;71ZSP)B+!#ZS^e?P>#aH#oKFn+50hF}?yMk@P#bf|vlo0knh5w~XQJC4>dTEbXZ^ElLT%mU=!Kn6T#4Twtv*xM zPa6||rFdm2wC8SUedJxr&x|{e;yfh>_a#t728EKtADXTBQPPMC3JRV}L1^F1f2Jf= z&;Vt}sh7%Q4PFG^+TJdncw?P~i};-sk!(INr^sbAH7{x2GH|BXWk=zX$`Q^mgRRWxELks}zLi8rkWpT8D`CWJDeX0za3kWclHWyL zK}qP_?vHH=NXdbe+3lhsJTfJ1xYNd&_t)#k3mQlNhFhU!7oKWD}AiOvAr{SG*ON7jcyn(EPl%%S9y*?|idYJM1gRQ;LWV)phE9ahT zeypI8EwzClFn@|7?~x>V)B1eIstftTxdQA-q6-J;oMoOdX%gDs3FKlHMQiKX(`5Je z%QtrQ$4*GdeJTq`F+LlDM(Dg%EJBT$dWD+01Jyk5Dt?DcSN=H;oy(HJKs-A$(a~JQ zn|^j=)|_Lv*|*hI_TaVPyr27_o>>o>V`5yD7B*L^fX}i=iN*6Ih0izkL_gD8to~TZ zRFQsgXF==Vba?chg|8R|CZB`)JgRxK9G){0!sCCR7%|F+gC`sY4oKpMtY;&e@3hym zMBg7|^G(@!y^kdjeI0IgMD(Tw^dI`I5M;v?1m;6Qy&vdtOLx}?y`~9b;j%P-)mfc6 zURDP)xTB2#(XQD9v0?OAt$~NoS}f%}{-mtC7QcF2pQC#!G#Mb*J%iJwKQ=ZthVN(n(IXQ*`7@eM{yNV z@xq83o!hFXjR@*QUID#4r$bPp!mzCx*os?H_gVwI&uB1PBEh3&SD%!UQksjjE1pW^ za4R=q#jV^&AC$pP-mz%fhTI&)uu2??up=5w{IVi`tGmj6!D*y;P-gQsO)P1C}x^Un0inQ zeSyz5IaW+kQz&}SXnpm5euTl8K!=5qur}{42vf56%;Mg;jf~7}O?o%_MS*+khhizt zXcu8|<~pZe5+&3djkxnsVJgjvr_58WDFv$M`fk!sYs;}#RtA5^O1n3FZ`Id_fKYWs z_MlKs0Sf&L+6Gknw3f^J0b@>SKAbWk&TSb%Qb74SnyYg9CEccHpywiEpFL7)!SyaOT zrNOpJ@`Sla;^Y_B?`{t@D+g)`tf``N#!Gw5KoJh14Kp`6|G*G}exc83$zU^2VI|HH z#*Tc_;F-CBv!U?U!00iusMk%8HN7P?QupL*T|Di1{A-gvUXaM>*V^{&xbaby$fn$K z3yX>8|Eh5A=_4DQ9*KqHuP6d`!4HEk$8CC~(SuaxW4`X)or>z6EZ>Gi7XE3@3~fwSJqyU;$ zJMo3VYfyqgXG}^n3zDFF@v}s1uVHH-((SS}O)ormzK>siN!P@q93;nc@FbDHO(Jb{ z<}y8UCmtYUE1~TIJ4W5d^Dv|7=1ASQD4;C7r;wEctPuIsq&{KSlQw`8`aRo?^|xJC zYF@ki=x;e=o(Wua6_T3De1yq_*Av3lKh*RdKmVAmM#O?!yQ=%6*!8la```s#X(uk7 zk5!e>BN+rj?3b2U45O#BA6`~#IrjWTyzPk!q#3TN_Mll77xC7Vo3z87G72n7vMyCJ zAi6}S6#mW}02chP&U|Zv&NIRSERY+0ii+9^n4oHJEYRbBQM527^L{?=THBz~zvxfE zp{11T+*RrCwV<-jfdCHktv%C&p&zu5zQ}zHT6%G#3lk?xZ-W90SgnqlxXBfW7~K_P znq3Yy%?Cr5uf>#4FAj>lf#iZ>4ljfP5zF)5Bdb@otq$kle(b2p{ikN~ zaJpCE!AmTuk3Z!T&HC(rd=mMT*uOQr_ewRT=7cS6q@tm!VXGCOGz&I|v*+rBq~Q%Q zgIxU#HeOYAMO6)Hd1R#My?AnImUG$?arv%Tp{rb2xh$_-R7lqUjfH)<`6wZ0j?Amx zz9(QG_>=E6#fUvyX2qHXq6ba7&V@vFjmiA9R7|CjI^w;t$4-Yndizmki)u;0e#N^8pZN^H%{u$!U*ylf$H9JqtCT8HL;`9RR1v83)7p-o58(~P z3FW#G&muT`91ihNF;Sg8ko|~`ckSnK4Y#iT2K7Z@LoKn zfIvLNCS#&J$-U27gR$-B{8z*0hS(>M)9gRm#y^)=Kz%$Df{2+qlu^qCnzVr4(_Z=* zs4nkn8R^pzk#Foh^=#&Gip{eh>ui18)JyG8;Hd%P1lzb7O=@^p;}(2G3xliP^5C4g8MZFID z4Td>+a;cnEWk4J~xq<;xZ%Bg5me&HmlfSP(Aqf*#cBoAGR0_tS#X8W}yrtYh3JC$4t@BpQE+;P&RVkh;QojCD-b9ln4SKCOmPnMzs8u@=})NS}3 zNCs%_oX@WQ`qYem(Vs`3#{aIL^yT(OK(aLtCg#N)2+$k$E>>K@W(AL=o_NlI>WNgy zCAM&;>xRMPmJDn&7+3NaS1Kj8@twfik3$}?&5p_!4hy$h>{y>!X0o(8?94y2SiL=5 zvxxt#b7S9C6}Gi+m#hFDe%#d{+5&BRAF@eB=G!;TG;>;*wI1ht2jdOM&Z%pHt{OFg z4|cn?4w_2asH2VXYA*!tONJKQPXX(#&nqE&oi_JMIZ&=K{p5-pL6VN=R>9D$?x}x4HqgW7piCh!@itm%2}WzGuX!f!}S7A@A*tjg%{E46Hl9F2CMJRUt#NmRd{U+OzS>i=QB{6HN(c zsXx>bYv*_6ov885e2IEeu;Wx5zmqeXk8j)57%0h*nAZ5w@_yIF7NBeOfR(x{Za*NI zxuBh6e59&UN3pU!COkDo3{)@87qKT{B}>))$$E5)_`Kr&+gw~I`=DC=_~THo>B1Zc zhr;8AacfdU5~ie&gJDr-_OC|#CCH>CE7Ai@pd75KIbjG!Og$Xx&+spC&Ar;WND|<@H0H&@aUp z?J^QH3E1zl9({_QS%p6hgBzVYSEHdG81zQep$Cp$d1apU;BwiqBNA%;v_eeJS)9*SNcPYIHTnYx`Y5#$0%+F$4vuhd$jFyNVxD*XIu!089QI{=P;GLN02%0&chs7#|W54oTgV4^iKGjs{ zv}D^)S5tzgUJ6?T{cooV^ZX0N25n?NTX0^4<2Fb@DrM`|>gWZZ@*-r*$)r6Xuwq?u zDF&N~=eNXd6xLFbVV4OD;<=`N<&H08&q9jDICzC7I$-HyKjssX#5QCe9dIL9m~4V) zMu=QyhV@o>vSVC(0-+z>UY>Og_9Y5eDVM1A?FL)5Ms+joiiM(p95*rk-3MGrx~-B04P`@oSc^r|+Jn4sLSj5_%TsFO^L zYq>(5Oc%n0KZ!mtW>PX83C3(o-cBIb8JpB{(gS?NeqyfDFgkGN3bqgr)3G_OSNp0v zspgvZip~^PNgP5_Jo zwM$gX%FwuyDN>`0#qPrhQ8@S{9te9qvnSqL3w!nZ$5{=i#K2PaA!p|i??%ACfIu*o zr)pRkCA53&vN0DHwX$l%Mt6PUY?d%y@l7Mj;^%Xbi!?9Q(|R>ozI>L~9GX9f_$}`v z^{}FAqaAjWborCwl9gX&Kj!nX`{Bx~-q*x+f8PFu%%dJi@NGB`*XI+G^9u$t2ZqBg zKQ?nz;V$MDA2zCa>RYgX;CMIXAg#zX>7s>g>N1 z1ByORH)Kdj5qM^r*#>Tdp3&eYe=kZP{k$|s7Ue(z8KVAng5<*u;pO4ovn`%}>g`6@ zKQ%)H$ma73vciEduGQZeY460w`}BJtYTdsT%!zY9y~-?Lfv=%Y4Ni^1I)bgP z_P#-tt3GSPZ}!i%ESJ_no_*|qJ`l7iAL(%lWB2qGXLB{g(6 zLpKgd;qOmk2N|l#ue#gdQ7B_#4zS;%B+aDeR3Yr{$bB&hf9WsuwfJ-b>Rj zSQUGQ@D)OTLH%3jEPjHjDa`-CgU95e1-1fMk7C`6h+4#UTHU@^Lj9Tb<|)PLEN4C> z!^y&y3L`u40IkciQ>h*o4S4?^oiCzaUB%EIyJW{*k=e!?HN9~0Q7vlF8an?6y+3Yb z!s=qvR`k*jM+4UaI-(Wdr00J=u6SN%?GvhyQ*wxM$6%=@Hfxk)1% z`=v#J>Pok+<>$fs{n(Ev#|*ySkqZcNzmux%R|+msr?JbG9%E*HgU|o42yL2Xj+OXz zi+|4I)b#{;r>4MM(E$i4ezZS#YtP|0F)g0c5< z-b%~8>nBCM#*x`#hXlJ9`F|RqP93$@6D71^>`(n0exmB^;dxp}?&ukS;WM7ko5*-L z5PsID0SOVndv;5L#Rj^%A`V;ZZN&rkHWy+7UC3Rhr+7sR+%qy<>-7)eUkAZTfPV|2 z){TiEm0VkC|6Qq%pP)=1r+^dbfVzN|;LoOEC}OkSPmO=yUMJq$a!%GYl|Xp>z>FNk zCH0tXB8?fQrQO~~%G7HnIX>siZaxi((24wtt>Hs>RPtP@4zRx%udEB?he2-Je z7au?n|HFL;8qW0XGLCtT+FSl{AHzXOk&WzFSOkl=ockBMK!EdbZ=|DuJfOAM_EE8< zd#6^3{1&`5d&-wDxeBa^V=IWuuRBTI`BLuv2%3=ptL&;>wiE);op13O$)uYMrtbIX znd={iMbz}%h}&LhWI$YKn~M0@mom?ebJ^*+%XOQ8Ix5~KcH1fSktPSZZOGtfw8O+l zW8H|nt7MEW-&SoJQWwAV5yO6wzC8y}mXy zE%d_d4$qZvbLU_blf9rlqiECVySO*m5ig)m-)Pa7qI*oh7Rs1%H3m4Q2>P+n+Kl?PpUcvyrO}sm>NI;X zmz1;9X;_L#ojj|uv?d|mqfa@MoYwrd?P^^D`CKon&cR{C;;LB%r6}o{kvh=V>`xU# ze-Jkgb&-k5Suhq+b=%ycu#0@-8Nn$Hp!^i$UVh`b_{*DB$LX9Ro9=ygk+JB$j}teP zT3mhP*wDJ}qyS#HXblAqyzAFRX@9UpChJ#SCNExsI?AnRL}2xBS`kiqy3O5Od$8rm zB=Ovnkj-ozy*nOiFzeKEZ;IA#`fpn?mtW^VUP93s$#Z zc}dO+lQb}O#6O~uc;;07O8Zpsq_&fxKFFHHs1Z}bt^7(omv`=U?j!AAos?b1$!d-7 zguL3JMbo_7_SHiYx95;1n>|K<;ZFgD`D3%W!R=8XViG8|LWq$Ta;?!8UwZ?63sT&< zOR2SfLdJ3!^~FB&O&uHYEv?qvw(uXG@b(O}C2SB8g)!S!scDFp*>U;bILKaVZt^@S ztIL|OjJlLh7yP`{aCT}aIxcY!ZM~_M%NSYj^Q|s9^!HB5und`Z@!Q(Wsdi08pJC!Q z=>Rb!lr6|3+RI@qE?zT!nfNA+qvWzi)?N#&9&Q6Wz7bV?w6vD;Tq|@?nCNo0NLkOt z7O${BY4Y!1t#-%W2Z~Cv0LqhFa)j+uLeY!)BW8gyG!KJ>i5F7N?hATJxdcbI5Kfe9 z3z=S->reX8 zjz{TNWBo_t_KOX_cG};hf_E=ThO*`xwBxq>d5AW~dr#*mVyrQ=!s!G^_T+`~*6+SP z0qa%VkA!<9roA!87s54OC;l)_tiU?~uFE2XGus&F^Q1Dy2Vuo8|4K1wtPK|pViGoJ~JC%%M3L{9kRmYj^<$3hGB&WHPKGL-~(MI&x0-M-U&N;MSn?YkLWy$v) z;a1A32?g%0Ukn3r@E)JY8e7R#uHAp2);VoWr2lLDgKk-HslDS*@X5{50ip35MgO?5 zocX>6Gnp#$eepKFT1>mk-UobpPQBJDX%6G;_FV1@O%1{!Qyd9`ZWER*Bp7a-xBYS? zr1-p+q}@37JWU=Blk7r&ih|KlGeAchj*S^1B}o7N`&&Dw|6O}T@!0*>vgmKnK(Pzf0C*+gXu_Uu z%wZX&rjwM50LH%0zBE9&6_b&z@Gz6JF-O1e*^@SDBU~4XAX`FVbo`4s#lC06`;0#o zWQY{eg{JhGFBe|asXN?q#@IvxWi+{)`l1RHj^~vvBT*fvLb|WduivaH6_(Nn>gs;# z$7K=50qz;AuGzV-#oD44VO*QdE}bEO(3X%Qdp%V4aKq>O`YWjCSI=J~VY#nVBM6{T zms)YXR3BJIsRr3pu91Qs=Q62+GsRRk{Eg=?P`(^o6~J8vSWO9+wrg*Q-)a)*JI_|w zQZvGt+V}W zOjdp_&5?U`?=1TeTbp+3wV&!;)3@?@76KPDF_J3tTn=(wQF_g6mmw#ag-B5UmX+@q~D z3E7K{JU`O~k0DuLP;MvSZw}qAXlqr^GfXRex5m6M69pSmVtUtOd_bo7Bp}arJQ=rC z^qq*Y>(HnIJKr=%c^uudIV0ZJh!`O@toyoV7V|ii9q2Zx1G#=Zjy;iDao}2i5TSACRkTl=JoQ~ncgVfX; z%u$cR?lt$G(OzSIW+?oWgv)iFMO_|u7AOrG_8Pap0e$xWE1ht%|7Jt!`P58Xi8P*i zMk`bG`+3Cj6n0_hYBtc30y)aEP*h^sTOZXiXa)^uc?)MJgE*a<*+ao=KSxqL`X3`$ zXvZCLWXjLIju|3X7>8%XxqP}ZW%p(@vXdJJ>a!nZs%CV=pQwjH`LpO@jdQo~`+(TM zs*O^Ib?QjT%T^9NaCNB&erk>_|7I&Ua6`Ud;}%yt6X^L1vgf>yw-u+hw{ zRi923tWhWmB6nnjcfN9y`;;m$d2^x~zQ1`_meJAhG@eLm7y6I*?l@ZRc(W%&i!dd` z6tyZ_7-3wS!4ozh`h(;a;)kR>m)A54eje)e^W$p*Qsr9~fT8iau`$-G5`@nvbiIfN z3`^0Qsodu>9|6=pm0vFqL#**4;FE;e_%oMHhpw0;-pR^drnMJwt@m2H zj``TPA|^bE6hVmVPc>|c_^ve0lXqDYT2Aw=hILl0v#%sCS|P1;++Tc}gRmRjatBTv z_}HOFnGW4%LC)iS3eZIel{A5WM4a#|u*7NM2AWNk2%Yjr_J835>c%MhB9L_>{v zNT{YIU$Saf&=m32QK(W4 zLhv)f4WIpu!UfW$}H2&@_rtpwdnUR_VKD|ac{3Z`g!H>Skt3>r9(>Rx%=42F+tye%j1^Tp_S zT#qck%}G}wv^3J?`0u$pay7e%!g!LlPU}9AkNat^Znf$t9lswlMHqJA(qg#ieqSqJ zGcfAVr%p^)=7}aaTQMm{HPo!ozLRwU!i!xs20EG#D+6M9Xq7du6(nAlftDtQB_iu<)74%o- z))C-b-Y)rir*=8O%)G7mW!S!^2~%@h^Bs#Ufmo}}XmnV?nizwXr!dn(&BMPvj2Q9M z)l*+;uWVRVUR5hQZtk|j1v>52hN>pYJ@;GoxcXy2Lg4j>QHmqO>!Iv#F`|OQzM8visY1LJ6vT z_>SKQHT}nJCAjK!0NBN60G`+kr=K8yboEfMuPAn-0P(3Vxd)2f61M^0My^!;e6!Bd z(INQr)i(d;Cz@=hS$A8oIH z5KJdS`DAoFbCl#U4hDXttz5snA5omW6p^@ZO|$%Y#l9r#NlI($I@zPEX*I3N)s#Dw zn5jER!768+viB~JA5->hH=C5Gkt92c@%^A&@VD25T}2gc#V{dl3G3_d^=cZtD&3s;6$1E@$6I4m3?WbZb z`_H>MKg*M~pp-1Oo;%QPCAN{pSE}B3>qQ!L=@?V{jn7WAh?vS~hjqwyIY=>vb&e;) zT5OMf0ohv#jRP$jCrkA{rM(|Dy5_4tLzq?DUxbI)+KS&LR#5Ric}2eH z@OX}=3g9=|8mU<*MmK|<@jV!_j@X=Ljg*piBtTWL%44D4TIXA+C0Mq^(RL( zBPv^lR@!G;l!`;|nfh6ae_$>(w{d%L_Rn6gLOItyx4ilogYiWOqmjf<)!enI@s8YV zfJ@h5%kI`F{ohkyw=iy#0mQe>liHbl3r9V)`nJY1NIei1hco3ATr=312`Bo{?xLw&_sCT$hq+^I)EU!0BKBaN8_r&bgIc&T>vBf=( zE#R_&C?CCl@hj1Ny#>^yYttAz;KA-p_VX&xw9wR5h}b50m*X$z#uUsRrFGZ+`q<}E zZL3w4kCz0Vs5@7g9=^ZvhkPgHgx%i!4?7e$i7`1oTh_@b1@k@S0xl0&>J_YGX(L!{ zAov1+J@s2koJFkhXVCPOFd5FwhYBNwW1-HMI-gI!t!QP+^3lO$2+AM0@T762ix_|o zf=9}$sZzh#&R}Se#S& z`OT|8few|qR~+X(9WihYh3h9u?W^Iwe(mMVs^lg&8RFKnD4n0xpPm z$!9wmOs1dlGinm)z}AOm`w=}riOqxCA#5PdLoFeU+GmqS7;&J=5N<@Zo(vhU>b_o{ z#4eh-0rg9AFY}CqcYRq@Fzpm7 zX}>{qvk+5`iRK!}{a}BQ@av$@vyONIwuyvK(WcVaw!OYu(Y_={trS^f_J^t9#+7JR z4F-_PFZS#6==HP!j$>q_zoH1mM(k|^9t}7iyo@l(6ql-u=oRCs|H)cV&0BNfyER7* z(qP^VKlW)&;xg63U!JB}bpXq#VCKFlA756y>Wdwyz41{>@|%VaD}U-`2NCB1>ck`T z@e=;I0)zivY&UDv3IUQqQbfedH0)eO4DWtNboCxLnZ}RxaWkrp9i&yCahL!>Rgeo2 zlTpIYDZ5a~37~gO^O{euy-Mz<>e;|i|MZrwj;< zN>l@{G5QWnBF|Y>@5cM&(@({Gfk6b1Awqaah4X_E6P$a5K`(_0)$TNACPIRi*Eha!A5VRHGxT$5D7R!B@Q6mUh_s$dB`(25xt(EMTmr6 zlSJm2Gtm@-%G#)rk~hUrn&Oc)Y=Oev0#3y$ghP|sEYsJ~jLR;x9#VJzRBl2J>Ffe` zvYww1%I+dSzWY>iTGj0grX^^%2v3+hZ}$IH*jzc7OX3w~gj;kPn0So{1#a4Q+cszG z87F32?QGe1`eZ*MFmqVX>U^|aTVm^wIv6Z-*NiO%KXF#l4Oyu(awst-(q1~Y)b8
" ] @@ -919,12 +919,12 @@ }, { "cell_type": "code", - "execution_count": 205, + "execution_count": 327, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -988,7 +988,7 @@ }, { "cell_type": "code", - "execution_count": 206, + "execution_count": 328, "metadata": {}, "outputs": [ { @@ -1008,7 +1008,7 @@ "dtype: int64" ] }, - "execution_count": 206, + "execution_count": 328, "metadata": {}, "output_type": "execute_result" } @@ -1020,7 +1020,7 @@ }, { "cell_type": "code", - "execution_count": 207, + "execution_count": 329, "metadata": {}, "outputs": [ { @@ -1057,7 +1057,7 @@ }, { "cell_type": "code", - "execution_count": 208, + "execution_count": 330, "metadata": {}, "outputs": [ { @@ -1069,7 +1069,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 208, + "execution_count": 330, "metadata": {}, "output_type": "execute_result" } @@ -1088,7 +1088,7 @@ }, { "cell_type": "code", - "execution_count": 209, + "execution_count": 331, "metadata": {}, "outputs": [], "source": [ @@ -1097,7 +1097,7 @@ }, { "cell_type": "code", - "execution_count": 210, + "execution_count": 332, "metadata": {}, "outputs": [ { @@ -1109,7 +1109,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 210, + "execution_count": 332, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 211, + "execution_count": 333, "metadata": {}, "outputs": [ { @@ -1140,7 +1140,7 @@ "dtype: int64" ] }, - "execution_count": 211, + "execution_count": 333, "metadata": {}, "output_type": "execute_result" } @@ -1172,7 +1172,7 @@ }, { "cell_type": "code", - "execution_count": 212, + "execution_count": 334, "metadata": {}, "outputs": [ { @@ -1235,7 +1235,7 @@ }, { "cell_type": "code", - "execution_count": 213, + "execution_count": 335, "metadata": {}, "outputs": [], "source": [ @@ -1244,7 +1244,7 @@ }, { "cell_type": "code", - "execution_count": 214, + "execution_count": 336, "metadata": {}, "outputs": [ { @@ -1255,7 +1255,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 214, + "execution_count": 336, "metadata": {}, "output_type": "execute_result" } @@ -1266,7 +1266,7 @@ }, { "cell_type": "code", - "execution_count": 215, + "execution_count": 337, "metadata": {}, "outputs": [], "source": [ @@ -1275,7 +1275,7 @@ }, { "cell_type": "code", - "execution_count": 216, + "execution_count": 338, "metadata": {}, "outputs": [ { @@ -1284,7 +1284,7 @@ "(46360, 11)" ] }, - "execution_count": 216, + "execution_count": 338, "metadata": {}, "output_type": "execute_result" } @@ -1295,7 +1295,7 @@ }, { "cell_type": "code", - "execution_count": 217, + "execution_count": 339, "metadata": {}, "outputs": [], "source": [ @@ -1304,7 +1304,7 @@ }, { "cell_type": "code", - "execution_count": 218, + "execution_count": 340, "metadata": {}, "outputs": [ { @@ -1531,7 +1531,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 218, + "execution_count": 340, "metadata": {}, "output_type": "execute_result" } @@ -1542,7 +1542,7 @@ }, { "cell_type": "code", - "execution_count": 219, + "execution_count": 341, "metadata": {}, "outputs": [ { @@ -1576,7 +1576,7 @@ }, { "cell_type": "code", - "execution_count": 220, + "execution_count": 342, "metadata": {}, "outputs": [ { @@ -1597,7 +1597,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 220, + "execution_count": 342, "metadata": {}, "output_type": "execute_result" } @@ -1615,7 +1615,7 @@ }, { "cell_type": "code", - "execution_count": 221, + "execution_count": 343, "metadata": {}, "outputs": [], "source": [ @@ -1625,7 +1625,7 @@ }, { "cell_type": "code", - "execution_count": 222, + "execution_count": 344, "metadata": {}, "outputs": [ { @@ -1677,7 +1677,7 @@ }, { "cell_type": "code", - "execution_count": 223, + "execution_count": 345, "metadata": {}, "outputs": [ { @@ -1686,7 +1686,7 @@ "array(['NO', 'YES'], dtype=object)" ] }, - "execution_count": 223, + "execution_count": 345, "metadata": {}, "output_type": "execute_result" } @@ -1708,7 +1708,7 @@ }, { "cell_type": "code", - "execution_count": 224, + "execution_count": 346, "metadata": {}, "outputs": [ { @@ -1717,7 +1717,7 @@ "array([0., 0., 0., ..., 0., 0., 0.])" ] }, - "execution_count": 224, + "execution_count": 346, "metadata": {}, "output_type": "execute_result" } @@ -1736,7 +1736,7 @@ }, { "cell_type": "code", - "execution_count": 225, + "execution_count": 347, "metadata": {}, "outputs": [ { @@ -1963,7 +1963,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 225, + "execution_count": 347, "metadata": {}, "output_type": "execute_result" } @@ -1978,7 +1978,7 @@ }, { "cell_type": "code", - "execution_count": 226, + "execution_count": 348, "metadata": {}, "outputs": [ { @@ -1990,7 +1990,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 226, + "execution_count": 348, "metadata": {}, "output_type": "execute_result" } @@ -2008,7 +2008,7 @@ }, { "cell_type": "code", - "execution_count": 227, + "execution_count": 349, "metadata": {}, "outputs": [ { @@ -2023,7 +2023,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 227, + "execution_count": 349, "metadata": {}, "output_type": "execute_result" } @@ -2034,7 +2034,7 @@ }, { "cell_type": "code", - "execution_count": 228, + "execution_count": 350, "metadata": {}, "outputs": [], "source": [ @@ -2049,7 +2049,7 @@ }, { "cell_type": "code", - "execution_count": 229, + "execution_count": 351, "metadata": {}, "outputs": [ { @@ -2069,7 +2069,7 @@ "Name: condition, Length: 21420, dtype: int64" ] }, - "execution_count": 229, + "execution_count": 351, "metadata": {}, "output_type": "execute_result" } @@ -2080,7 +2080,7 @@ }, { "cell_type": "code", - "execution_count": 230, + "execution_count": 352, "metadata": {}, "outputs": [ { @@ -2095,7 +2095,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 230, + "execution_count": 352, "metadata": {}, "output_type": "execute_result" } @@ -2107,7 +2107,7 @@ }, { "cell_type": "code", - "execution_count": 231, + "execution_count": 353, "metadata": {}, "outputs": [ { @@ -2150,7 +2150,7 @@ }, { "cell_type": "code", - "execution_count": 232, + "execution_count": 354, "metadata": {}, "outputs": [], "source": [ @@ -2166,7 +2166,7 @@ }, { "cell_type": "code", - "execution_count": 233, + "execution_count": 355, "metadata": {}, "outputs": [ { @@ -2225,7 +2225,7 @@ }, { "cell_type": "code", - "execution_count": 234, + "execution_count": 356, "metadata": {}, "outputs": [], "source": [ @@ -2250,7 +2250,7 @@ }, { "cell_type": "code", - "execution_count": 235, + "execution_count": 357, "metadata": {}, "outputs": [ { @@ -2271,7 +2271,7 @@ }, { "cell_type": "code", - "execution_count": 236, + "execution_count": 358, "metadata": {}, "outputs": [ { @@ -2319,7 +2319,7 @@ }, { "cell_type": "code", - "execution_count": 237, + "execution_count": 359, "metadata": {}, "outputs": [ { @@ -2350,7 +2350,7 @@ }, { "cell_type": "code", - "execution_count": 238, + "execution_count": 360, "metadata": {}, "outputs": [ { @@ -2398,7 +2398,7 @@ }, { "cell_type": "code", - "execution_count": 239, + "execution_count": 361, "metadata": {}, "outputs": [ { @@ -2424,7 +2424,7 @@ }, { "cell_type": "code", - "execution_count": 240, + "execution_count": 362, "metadata": {}, "outputs": [ { @@ -2472,7 +2472,7 @@ }, { "cell_type": "code", - "execution_count": 241, + "execution_count": 363, "metadata": {}, "outputs": [ { @@ -2498,7 +2498,7 @@ }, { "cell_type": "code", - "execution_count": 242, + "execution_count": 364, "metadata": {}, "outputs": [ { @@ -2540,7 +2540,7 @@ }, { "cell_type": "code", - "execution_count": 243, + "execution_count": 365, "metadata": {}, "outputs": [], "source": [ @@ -2551,7 +2551,7 @@ }, { "cell_type": "code", - "execution_count": 244, + "execution_count": 366, "metadata": {}, "outputs": [ { @@ -2585,7 +2585,7 @@ }, { "cell_type": "code", - "execution_count": 245, + "execution_count": 367, "metadata": {}, "outputs": [], "source": [ @@ -2595,7 +2595,7 @@ }, { "cell_type": "code", - "execution_count": 246, + "execution_count": 368, "metadata": {}, "outputs": [ { @@ -2674,7 +2674,7 @@ }, { "cell_type": "code", - "execution_count": 247, + "execution_count": 369, "metadata": {}, "outputs": [ { @@ -2721,7 +2721,7 @@ }, { "cell_type": "code", - "execution_count": 248, + "execution_count": 370, "metadata": {}, "outputs": [ { @@ -2747,7 +2747,7 @@ }, { "cell_type": "code", - "execution_count": 249, + "execution_count": 371, "metadata": {}, "outputs": [ { @@ -2769,7 +2769,7 @@ }, { "cell_type": "code", - "execution_count": 250, + "execution_count": 372, "metadata": {}, "outputs": [ { @@ -2800,7 +2800,7 @@ }, { "cell_type": "code", - "execution_count": 251, + "execution_count": 373, "metadata": {}, "outputs": [ { @@ -2823,7 +2823,7 @@ }, { "cell_type": "code", - "execution_count": 252, + "execution_count": 374, "metadata": {}, "outputs": [ { @@ -2845,7 +2845,7 @@ }, { "cell_type": "code", - "execution_count": 253, + "execution_count": 375, "metadata": {}, "outputs": [ { @@ -2883,7 +2883,7 @@ }, { "cell_type": "code", - "execution_count": 254, + "execution_count": 376, "metadata": {}, "outputs": [ { @@ -2923,7 +2923,7 @@ }, { "cell_type": "code", - "execution_count": 255, + "execution_count": 377, "metadata": {}, "outputs": [ { @@ -2961,7 +2961,7 @@ }, { "cell_type": "code", - "execution_count": 256, + "execution_count": 378, "metadata": {}, "outputs": [ { @@ -3113,7 +3113,7 @@ }, { "cell_type": "code", - "execution_count": 257, + "execution_count": 379, "metadata": {}, "outputs": [ { @@ -3337,7 +3337,7 @@ "yr_built 0.492854 -0.032005 -0.361670 0.452886 1.000000 " ] }, - "execution_count": 257, + "execution_count": 379, "metadata": {}, "output_type": "execute_result" } @@ -3374,7 +3374,7 @@ }, { "cell_type": "code", - "execution_count": 258, + "execution_count": 380, "metadata": {}, "outputs": [ { @@ -3408,7 +3408,7 @@ }, { "cell_type": "code", - "execution_count": 259, + "execution_count": 381, "metadata": {}, "outputs": [ { @@ -3475,7 +3475,7 @@ "4 1680 8" ] }, - "execution_count": 259, + "execution_count": 381, "metadata": {}, "output_type": "execute_result" } @@ -3496,7 +3496,7 @@ }, { "cell_type": "code", - "execution_count": 260, + "execution_count": 382, "metadata": {}, "outputs": [ { @@ -3614,7 +3614,7 @@ "[20978 rows x 3 columns]" ] }, - "execution_count": 260, + "execution_count": 382, "metadata": {}, "output_type": "execute_result" } @@ -3629,7 +3629,7 @@ }, { "cell_type": "code", - "execution_count": 261, + "execution_count": 383, "metadata": {}, "outputs": [], "source": [ @@ -3638,7 +3638,7 @@ }, { "cell_type": "code", - "execution_count": 262, + "execution_count": 384, "metadata": {}, "outputs": [ { @@ -3659,7 +3659,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 13:51:03 Log-Likelihood: -2.8743e+05\n", + " Time: 13:57:31 Log-Likelihood: -2.8743e+05\n", "\n", "\n", " No. Observations: 20978 AIC: 5.749e+05 \n", @@ -3711,7 +3711,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.486 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 9901. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 13:51:03 & \\textbf{ Log-Likelihood: } & -2.8743e+05 \\\\\n", + "\\textbf{Time:} & 13:57:31 & \\textbf{ Log-Likelihood: } & -2.8743e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & 5.749e+05 \\\\\n", "\\textbf{Df Residuals:} & 20975 & \\textbf{ BIC: } & 5.749e+05 \\\\\n", "\\textbf{Df Model:} & 2 & \\textbf{ } & \\\\\n", @@ -3750,7 +3750,7 @@ "Model: OLS Adj. R-squared: 0.486\n", "Method: Least Squares F-statistic: 9901.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 13:51:03 Log-Likelihood: -2.8743e+05\n", + "Time: 13:57:31 Log-Likelihood: -2.8743e+05\n", "No. Observations: 20978 AIC: 5.749e+05\n", "Df Residuals: 20975 BIC: 5.749e+05\n", "Df Model: 2 \n", @@ -3775,7 +3775,7 @@ "\"\"\"" ] }, - "execution_count": 262, + "execution_count": 384, "metadata": {}, "output_type": "execute_result" } @@ -3800,7 +3800,7 @@ }, { "cell_type": "code", - "execution_count": 263, + "execution_count": 385, "metadata": {}, "outputs": [], "source": [ @@ -3810,7 +3810,7 @@ }, { "cell_type": "code", - "execution_count": 264, + "execution_count": 386, "metadata": {}, "outputs": [], "source": [ @@ -3819,7 +3819,7 @@ }, { "cell_type": "code", - "execution_count": 265, + "execution_count": 387, "metadata": {}, "outputs": [ { @@ -3841,7 +3841,7 @@ }, { "cell_type": "code", - "execution_count": 266, + "execution_count": 388, "metadata": {}, "outputs": [ { @@ -4044,7 +4044,7 @@ "[15733 rows x 9 columns]" ] }, - "execution_count": 266, + "execution_count": 388, "metadata": {}, "output_type": "execute_result" } @@ -4088,7 +4088,7 @@ }, { "cell_type": "code", - "execution_count": 267, + "execution_count": 389, "metadata": {}, "outputs": [ { @@ -4097,7 +4097,7 @@ "[array([1, 2, 3, 4, 5], dtype=int64)]" ] }, - "execution_count": 267, + "execution_count": 389, "metadata": {}, "output_type": "execute_result" } @@ -4120,7 +4120,7 @@ }, { "cell_type": "code", - "execution_count": 268, + "execution_count": 390, "metadata": {}, "outputs": [ { @@ -4135,7 +4135,7 @@ " [0., 0., 0., 1., 0.]])" ] }, - "execution_count": 268, + "execution_count": 390, "metadata": {}, "output_type": "execute_result" } @@ -4152,7 +4152,7 @@ }, { "cell_type": "code", - "execution_count": 269, + "execution_count": 391, "metadata": {}, "outputs": [ { @@ -4294,7 +4294,7 @@ "[15733 rows x 5 columns]" ] }, - "execution_count": 269, + "execution_count": 391, "metadata": {}, "output_type": "execute_result" } @@ -4320,7 +4320,7 @@ }, { "cell_type": "code", - "execution_count": 270, + "execution_count": 392, "metadata": {}, "outputs": [ { @@ -4511,7 +4511,7 @@ "[15733 rows x 8 columns]" ] }, - "execution_count": 270, + "execution_count": 392, "metadata": {}, "output_type": "execute_result" } @@ -4524,7 +4524,7 @@ }, { "cell_type": "code", - "execution_count": 271, + "execution_count": 393, "metadata": {}, "outputs": [ { @@ -4775,7 +4775,7 @@ "[15733 rows x 13 columns]" ] }, - "execution_count": 271, + "execution_count": 393, "metadata": {}, "output_type": "execute_result" } @@ -4800,7 +4800,7 @@ }, { "cell_type": "code", - "execution_count": 272, + "execution_count": 394, "metadata": {}, "outputs": [ { @@ -5039,7 +5039,7 @@ "[15733 rows x 12 columns]" ] }, - "execution_count": 272, + "execution_count": 394, "metadata": {}, "output_type": "execute_result" } @@ -5052,7 +5052,7 @@ }, { "cell_type": "code", - "execution_count": 273, + "execution_count": 395, "metadata": {}, "outputs": [ { @@ -5087,13 +5087,13 @@ }, { "cell_type": "code", - "execution_count": 274, + "execution_count": 396, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "" + "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "LinearRegression()" ] }, - "execution_count": 274, + "execution_count": 396, "metadata": {}, "output_type": "execute_result" } @@ -5519,7 +5519,7 @@ }, { "cell_type": "code", - "execution_count": 275, + "execution_count": 397, "metadata": {}, "outputs": [ { @@ -5528,7 +5528,7 @@ "array([0.61210062, 0.60849282, 0.59087099])" ] }, - "execution_count": 275, + "execution_count": 397, "metadata": {}, "output_type": "execute_result" } @@ -5548,7 +5548,7 @@ }, { "cell_type": "code", - "execution_count": 276, + "execution_count": 398, "metadata": {}, "outputs": [], "source": [ @@ -5558,7 +5558,7 @@ }, { "cell_type": "code", - "execution_count": 277, + "execution_count": 399, "metadata": {}, "outputs": [ { @@ -5761,7 +5761,7 @@ "[5245 rows x 9 columns]" ] }, - "execution_count": 277, + "execution_count": 399, "metadata": {}, "output_type": "execute_result" } @@ -5772,7 +5772,7 @@ }, { "cell_type": "code", - "execution_count": 278, + "execution_count": 400, "metadata": {}, "outputs": [ { @@ -6023,7 +6023,7 @@ "[5245 rows x 13 columns]" ] }, - "execution_count": 278, + "execution_count": 400, "metadata": {}, "output_type": "execute_result" } @@ -6053,7 +6053,7 @@ }, { "cell_type": "code", - "execution_count": 279, + "execution_count": 401, "metadata": {}, "outputs": [ { @@ -6292,7 +6292,7 @@ "[5245 rows x 12 columns]" ] }, - "execution_count": 279, + "execution_count": 401, "metadata": {}, "output_type": "execute_result" } @@ -6304,7 +6304,7 @@ }, { "cell_type": "code", - "execution_count": 280, + "execution_count": 402, "metadata": {}, "outputs": [ { @@ -6313,7 +6313,7 @@ "0.617288818755894" ] }, - "execution_count": 280, + "execution_count": 402, "metadata": {}, "output_type": "execute_result" } @@ -6328,7 +6328,7 @@ }, { "cell_type": "code", - "execution_count": 281, + "execution_count": 403, "metadata": {}, "outputs": [ { @@ -6363,7 +6363,7 @@ }, { "cell_type": "code", - "execution_count": 282, + "execution_count": 404, "metadata": {}, "outputs": [ { @@ -6402,7 +6402,7 @@ }, { "cell_type": "code", - "execution_count": 283, + "execution_count": 405, "metadata": {}, "outputs": [ { @@ -6443,7 +6443,7 @@ }, { "cell_type": "code", - "execution_count": 284, + "execution_count": 406, "metadata": {}, "outputs": [], "source": [ @@ -6452,7 +6452,7 @@ }, { "cell_type": "code", - "execution_count": 285, + "execution_count": 407, "metadata": {}, "outputs": [ { @@ -6484,7 +6484,7 @@ }, { "cell_type": "code", - "execution_count": 286, + "execution_count": 408, "metadata": {}, "outputs": [], "source": [ @@ -6493,7 +6493,7 @@ }, { "cell_type": "code", - "execution_count": 287, + "execution_count": 409, "metadata": {}, "outputs": [ { @@ -6524,7 +6524,7 @@ }, { "cell_type": "code", - "execution_count": 288, + "execution_count": 410, "metadata": {}, "outputs": [], "source": [ @@ -6534,7 +6534,7 @@ }, { "cell_type": "code", - "execution_count": 289, + "execution_count": 411, "metadata": {}, "outputs": [ { @@ -6785,7 +6785,7 @@ "[15733 rows x 13 columns]" ] }, - "execution_count": 289, + "execution_count": 411, "metadata": {}, "output_type": "execute_result" } @@ -6797,7 +6797,7 @@ }, { "cell_type": "code", - "execution_count": 290, + "execution_count": 412, "metadata": {}, "outputs": [], "source": [ @@ -6806,7 +6806,7 @@ }, { "cell_type": "code", - "execution_count": 291, + "execution_count": 413, "metadata": {}, "outputs": [ { @@ -6827,7 +6827,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 13:51:19 Log-Likelihood: -2.1360e+05\n", + " Time: 13:57:44 Log-Likelihood: -2.1360e+05\n", "\n", "\n", " No. Observations: 15733 AIC: 4.272e+05 \n", @@ -6909,7 +6909,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.605 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2010. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 13:51:19 & \\textbf{ Log-Likelihood: } & -2.1360e+05 \\\\\n", + "\\textbf{Time:} & 13:57:44 & \\textbf{ Log-Likelihood: } & -2.1360e+05 \\\\\n", "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.272e+05 \\\\\n", "\\textbf{Df Residuals:} & 15720 & \\textbf{ BIC: } & 4.273e+05 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -6958,7 +6958,7 @@ "Model: OLS Adj. R-squared: 0.605\n", "Method: Least Squares F-statistic: 2010.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 13:51:19 Log-Likelihood: -2.1360e+05\n", + "Time: 13:57:44 Log-Likelihood: -2.1360e+05\n", "No. Observations: 15733 AIC: 4.272e+05\n", "Df Residuals: 15720 BIC: 4.273e+05\n", "Df Model: 12 \n", @@ -6993,7 +6993,7 @@ "\"\"\"" ] }, - "execution_count": 291, + "execution_count": 413, "metadata": {}, "output_type": "execute_result" } @@ -7018,7 +7018,7 @@ }, { "cell_type": "code", - "execution_count": 292, + "execution_count": 414, "metadata": {}, "outputs": [ { @@ -7053,7 +7053,7 @@ }, { "cell_type": "code", - "execution_count": 293, + "execution_count": 415, "metadata": {}, "outputs": [ { @@ -7088,7 +7088,7 @@ }, { "cell_type": "code", - "execution_count": 294, + "execution_count": 416, "metadata": {}, "outputs": [ { @@ -7123,7 +7123,7 @@ }, { "cell_type": "code", - "execution_count": 295, + "execution_count": 417, "metadata": {}, "outputs": [ { @@ -7277,7 +7277,7 @@ "[15733 rows x 6 columns]" ] }, - "execution_count": 295, + "execution_count": 417, "metadata": {}, "output_type": "execute_result" } @@ -7295,7 +7295,7 @@ }, { "cell_type": "code", - "execution_count": 296, + "execution_count": 418, "metadata": {}, "outputs": [ { @@ -7334,7 +7334,7 @@ }, { "cell_type": "code", - "execution_count": 297, + "execution_count": 419, "metadata": {}, "outputs": [ { @@ -7355,7 +7355,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 13:51:28 Log-Likelihood: -2.1596e+05\n", + " Time: 13:57:56 Log-Likelihood: -2.1596e+05\n", "\n", "\n", " No. Observations: 15733 AIC: 4.319e+05 \n", @@ -7419,7 +7419,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.467 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2300. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 13:51:28 & \\textbf{ Log-Likelihood: } & -2.1596e+05 \\\\\n", + "\\textbf{Time:} & 13:57:56 & \\textbf{ Log-Likelihood: } & -2.1596e+05 \\\\\n", "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.319e+05 \\\\\n", "\\textbf{Df Residuals:} & 15726 & \\textbf{ BIC: } & 4.320e+05 \\\\\n", "\\textbf{Df Model:} & 6 & \\textbf{ } & \\\\\n", @@ -7462,7 +7462,7 @@ "Model: OLS Adj. R-squared: 0.467\n", "Method: Least Squares F-statistic: 2300.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 13:51:28 Log-Likelihood: -2.1596e+05\n", + "Time: 13:57:56 Log-Likelihood: -2.1596e+05\n", "No. Observations: 15733 AIC: 4.319e+05\n", "Df Residuals: 15726 BIC: 4.320e+05\n", "Df Model: 6 \n", @@ -7491,7 +7491,7 @@ "\"\"\"" ] }, - "execution_count": 297, + "execution_count": 419, "metadata": {}, "output_type": "execute_result" } @@ -7511,7 +7511,7 @@ }, { "cell_type": "code", - "execution_count": 298, + "execution_count": 420, "metadata": {}, "outputs": [], "source": [ @@ -7520,7 +7520,7 @@ }, { "cell_type": "code", - "execution_count": 299, + "execution_count": 421, "metadata": {}, "outputs": [ { @@ -7575,7 +7575,7 @@ }, { "cell_type": "code", - "execution_count": 300, + "execution_count": 422, "metadata": {}, "outputs": [ { @@ -7614,7 +7614,7 @@ }, { "cell_type": "code", - "execution_count": 301, + "execution_count": 423, "metadata": {}, "outputs": [ { @@ -7681,7 +7681,7 @@ "2 sqft_living grade 0.481743 0.476978 Yes" ] }, - "execution_count": 301, + "execution_count": 423, "metadata": {}, "output_type": "execute_result" } @@ -7765,7 +7765,7 @@ }, { "cell_type": "code", - "execution_count": 302, + "execution_count": 424, "metadata": {}, "outputs": [ { @@ -7799,7 +7799,7 @@ }, { "cell_type": "code", - "execution_count": 303, + "execution_count": 425, "metadata": {}, "outputs": [ { @@ -7828,7 +7828,7 @@ }, { "cell_type": "code", - "execution_count": 304, + "execution_count": 426, "metadata": {}, "outputs": [ { @@ -7847,7 +7847,7 @@ }, { "cell_type": "code", - "execution_count": 306, + "execution_count": 427, "metadata": {}, "outputs": [ { @@ -7856,7 +7856,7 @@ "[array([1, 2, 3, 4, 5], dtype=int64)]" ] }, - "execution_count": 306, + "execution_count": 427, "metadata": {}, "output_type": "execute_result" } @@ -7867,6 +7867,296 @@ "ohe2.fit(condition_train2)\n", "ohe2.categories_\n" ] + }, + { + "cell_type": "code", + "execution_count": 428, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "<20978x5 sparse matrix of type ''\n", + "\twith 20978 stored elements in Compressed Sparse Row format>" + ] + }, + "execution_count": 428, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "condition_encoded_train2 = ohe.transform(condition_train2)\n", + "\n", + "condition_encoded_train2\n" + ] + }, + { + "cell_type": "code", + "execution_count": 430, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 1 2 3 4 5\n", + "0 0.0 0.0 1.0 0.0 0.0\n", + "1 0.0 0.0 1.0 0.0 0.0\n", + "2 0.0 0.0 1.0 0.0 0.0\n", + "3 0.0 0.0 0.0 0.0 1.0\n", + "4 0.0 0.0 1.0 0.0 0.0\n", + "... ... ... ... ... ...\n", + "21592 0.0 0.0 1.0 0.0 0.0\n", + "21593 0.0 0.0 1.0 0.0 0.0\n", + "21594 0.0 0.0 1.0 0.0 0.0\n", + "21595 0.0 0.0 1.0 0.0 0.0\n", + "21596 0.0 0.0 1.0 0.0 0.0\n", + "\n", + "[20978 rows x 5 columns]\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "# Convert the sparse matrix to a DataFrame\n", + "condition_encoded_train2_df = pd.DataFrame.sparse.from_spmatrix(\n", + " condition_encoded_train2,\n", + " columns=ohe2.categories_[0],\n", + " index=df.index\n", + ")\n", + "\n", + "# Print the DataFrame\n", + "print(condition_encoded_train2_df)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 431, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idpricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontgradeyr_built
0712930052022190031.00118056501.00.071955
1641410019253800032.25257072422.00.071951
2563150040018000021.00770100001.00.061933
3248720087560400043.00196050001.00.071965
4195440051051000032.00168080801.00.081987
.................................
2159226300001836000032.50153011313.00.082009
21593660006012040000042.50231058132.00.082014
21594152330014140210120.75102013502.00.072009
2159529131010040000032.50160023882.00.082004
21596152330015732500020.75102010762.00.072008
\n", + "

20978 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " id price bedrooms bathrooms sqft_living sqft_lot floors \\\n", + "0 7129300520 221900 3 1.00 1180 5650 1.0 \n", + "1 6414100192 538000 3 2.25 2570 7242 2.0 \n", + "2 5631500400 180000 2 1.00 770 10000 1.0 \n", + "3 2487200875 604000 4 3.00 1960 5000 1.0 \n", + "4 1954400510 510000 3 2.00 1680 8080 1.0 \n", + "... ... ... ... ... ... ... ... \n", + "21592 263000018 360000 3 2.50 1530 1131 3.0 \n", + "21593 6600060120 400000 4 2.50 2310 5813 2.0 \n", + "21594 1523300141 402101 2 0.75 1020 1350 2.0 \n", + "21595 291310100 400000 3 2.50 1600 2388 2.0 \n", + "21596 1523300157 325000 2 0.75 1020 1076 2.0 \n", + "\n", + " waterfront grade yr_built \n", + "0 0.0 7 1955 \n", + "1 0.0 7 1951 \n", + "2 0.0 6 1933 \n", + "3 0.0 7 1965 \n", + "4 0.0 8 1987 \n", + "... ... ... ... \n", + "21592 0.0 8 2009 \n", + "21593 0.0 8 2014 \n", + "21594 0.0 7 2009 \n", + "21595 0.0 8 2004 \n", + "21596 0.0 7 2008 \n", + "\n", + "[20978 rows x 10 columns]" + ] + }, + "execution_count": 431, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.drop('condition', axis=1, inplace=True)\n", + "df" + ] } ], "metadata": { From 30e4356b12007592597f96a05f667c0afe6bd5a2 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 14:02:33 +0300 Subject: [PATCH 79/98] Update student.ipynb --- student.ipynb | 741 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 741 insertions(+) diff --git a/student.ipynb b/student.ipynb index 75ae5b30..463aacac 100644 --- a/student.ipynb +++ b/student.ipynb @@ -8157,6 +8157,747 @@ "df.drop('condition', axis=1, inplace=True)\n", "df" ] + }, + { + "cell_type": "code", + "execution_count": 433, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " id price bedrooms bathrooms sqft_living sqft_lot floors \\\n", + "0 7129300520 221900 3 1.00 1180 5650 1.0 \n", + "1 6414100192 538000 3 2.25 2570 7242 2.0 \n", + "2 5631500400 180000 2 1.00 770 10000 1.0 \n", + "3 2487200875 604000 4 3.00 1960 5000 1.0 \n", + "4 1954400510 510000 3 2.00 1680 8080 1.0 \n", + "... ... ... ... ... ... ... ... \n", + "21592 263000018 360000 3 2.50 1530 1131 3.0 \n", + "21593 6600060120 400000 4 2.50 2310 5813 2.0 \n", + "21594 1523300141 402101 2 0.75 1020 1350 2.0 \n", + "21595 291310100 400000 3 2.50 1600 2388 2.0 \n", + "21596 1523300157 325000 2 0.75 1020 1076 2.0 \n", + "\n", + " waterfront grade yr_built 1 2 3 4 5 \n", + "0 0.0 7 1955 0.0 0.0 1.0 0.0 0.0 \n", + "1 0.0 7 1951 0.0 0.0 1.0 0.0 0.0 \n", + "2 0.0 6 1933 0.0 0.0 1.0 0.0 0.0 \n", + "3 0.0 7 1965 0.0 0.0 0.0 0.0 1.0 \n", + "4 0.0 8 1987 0.0 0.0 1.0 0.0 0.0 \n", + "... ... ... ... ... ... ... ... ... \n", + "21592 0.0 8 2009 0.0 0.0 1.0 0.0 0.0 \n", + "21593 0.0 8 2014 0.0 0.0 1.0 0.0 0.0 \n", + "21594 0.0 7 2009 0.0 0.0 1.0 0.0 0.0 \n", + "21595 0.0 8 2004 0.0 0.0 1.0 0.0 0.0 \n", + "21596 0.0 7 2008 0.0 0.0 1.0 0.0 0.0 \n", + "\n", + "[20978 rows x 15 columns]\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "# Convert the sparse matrix to a DataFrame\n", + "condition_encoded_train2_df = pd.DataFrame.sparse.from_spmatrix(\n", + " condition_encoded_train2,\n", + " columns=ohe2.categories_[0],\n", + " index=df.index\n", + ")\n", + "\n", + "# Concatenate the DataFrame with the original DataFrame\n", + "df = pd.concat([df, condition_encoded_train2_df], axis=1)\n", + "\n", + "# Print the concatenated DataFrame\n", + "print(df)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 434, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idpricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontgradeyr_built2345
0712930052022190031.00118056501.00.0719550.01.00.00.0
1641410019253800032.25257072422.00.0719510.01.00.00.0
2563150040018000021.00770100001.00.0619330.01.00.00.0
3248720087560400043.00196050001.00.0719650.00.00.01.0
4195440051051000032.00168080801.00.0819870.01.00.00.0
.............................................
2159226300001836000032.50153011313.00.0820090.01.00.00.0
21593660006012040000042.50231058132.00.0820140.01.00.00.0
21594152330014140210120.75102013502.00.0720090.01.00.00.0
2159529131010040000032.50160023882.00.0820040.01.00.00.0
21596152330015732500020.75102010762.00.0720080.01.00.00.0
\n", + "

20978 rows × 14 columns

\n", + "
" + ], + "text/plain": [ + " id price bedrooms bathrooms sqft_living sqft_lot floors \\\n", + "0 7129300520 221900 3 1.00 1180 5650 1.0 \n", + "1 6414100192 538000 3 2.25 2570 7242 2.0 \n", + "2 5631500400 180000 2 1.00 770 10000 1.0 \n", + "3 2487200875 604000 4 3.00 1960 5000 1.0 \n", + "4 1954400510 510000 3 2.00 1680 8080 1.0 \n", + "... ... ... ... ... ... ... ... \n", + "21592 263000018 360000 3 2.50 1530 1131 3.0 \n", + "21593 6600060120 400000 4 2.50 2310 5813 2.0 \n", + "21594 1523300141 402101 2 0.75 1020 1350 2.0 \n", + "21595 291310100 400000 3 2.50 1600 2388 2.0 \n", + "21596 1523300157 325000 2 0.75 1020 1076 2.0 \n", + "\n", + " waterfront grade yr_built 2 3 4 5 \n", + "0 0.0 7 1955 0.0 1.0 0.0 0.0 \n", + "1 0.0 7 1951 0.0 1.0 0.0 0.0 \n", + "2 0.0 6 1933 0.0 1.0 0.0 0.0 \n", + "3 0.0 7 1965 0.0 0.0 0.0 1.0 \n", + "4 0.0 8 1987 0.0 1.0 0.0 0.0 \n", + "... ... ... ... ... ... ... ... \n", + "21592 0.0 8 2009 0.0 1.0 0.0 0.0 \n", + "21593 0.0 8 2014 0.0 1.0 0.0 0.0 \n", + "21594 0.0 7 2009 0.0 1.0 0.0 0.0 \n", + "21595 0.0 8 2004 0.0 1.0 0.0 0.0 \n", + "21596 0.0 7 2008 0.0 1.0 0.0 0.0 \n", + "\n", + "[20978 rows x 14 columns]" + ] + }, + "execution_count": 434, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.drop(1, axis=1, inplace=True)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 435, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
pricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontgradeyr_built2345
022190031.00118056501.00.0719550.01.00.00.0
153800032.25257072422.00.0719510.01.00.00.0
218000021.00770100001.00.0619330.01.00.00.0
360400043.00196050001.00.0719650.00.00.01.0
451000032.00168080801.00.0819870.01.00.00.0
..........................................
2159236000032.50153011313.00.0820090.01.00.00.0
2159340000042.50231058132.00.0820140.01.00.00.0
2159440210120.75102013502.00.0720090.01.00.00.0
2159540000032.50160023882.00.0820040.01.00.00.0
2159632500020.75102010762.00.0720080.01.00.00.0
\n", + "

20978 rows × 13 columns

\n", + "
" + ], + "text/plain": [ + " price bedrooms bathrooms sqft_living sqft_lot floors waterfront \\\n", + "0 221900 3 1.00 1180 5650 1.0 0.0 \n", + "1 538000 3 2.25 2570 7242 2.0 0.0 \n", + "2 180000 2 1.00 770 10000 1.0 0.0 \n", + "3 604000 4 3.00 1960 5000 1.0 0.0 \n", + "4 510000 3 2.00 1680 8080 1.0 0.0 \n", + "... ... ... ... ... ... ... ... \n", + "21592 360000 3 2.50 1530 1131 3.0 0.0 \n", + "21593 400000 4 2.50 2310 5813 2.0 0.0 \n", + "21594 402101 2 0.75 1020 1350 2.0 0.0 \n", + "21595 400000 3 2.50 1600 2388 2.0 0.0 \n", + "21596 325000 2 0.75 1020 1076 2.0 0.0 \n", + "\n", + " grade yr_built 2 3 4 5 \n", + "0 7 1955 0.0 1.0 0.0 0.0 \n", + "1 7 1951 0.0 1.0 0.0 0.0 \n", + "2 6 1933 0.0 1.0 0.0 0.0 \n", + "3 7 1965 0.0 0.0 0.0 1.0 \n", + "4 8 1987 0.0 1.0 0.0 0.0 \n", + "... ... ... ... ... ... ... \n", + "21592 8 2009 0.0 1.0 0.0 0.0 \n", + "21593 8 2014 0.0 1.0 0.0 0.0 \n", + "21594 7 2009 0.0 1.0 0.0 0.0 \n", + "21595 8 2004 0.0 1.0 0.0 0.0 \n", + "21596 7 2008 0.0 1.0 0.0 0.0 \n", + "\n", + "[20978 rows x 13 columns]" + ] + }, + "execution_count": 435, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1 = df.drop('id', axis=1)\n", + "df1" + ] + }, + { + "cell_type": "code", + "execution_count": 436, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
bedroomsbathroomssqft_livingsqft_lotfloorswaterfrontgradeyr_built2345
031.00118056501.00.0719550.01.00.00.0
132.25257072422.00.0719510.01.00.00.0
221.00770100001.00.0619330.01.00.00.0
343.00196050001.00.0719650.00.00.01.0
432.00168080801.00.0819870.01.00.00.0
\n", + "
" + ], + "text/plain": [ + " bedrooms bathrooms sqft_living sqft_lot floors waterfront grade \\\n", + "0 3 1.00 1180 5650 1.0 0.0 7 \n", + "1 3 2.25 2570 7242 2.0 0.0 7 \n", + "2 2 1.00 770 10000 1.0 0.0 6 \n", + "3 4 3.00 1960 5000 1.0 0.0 7 \n", + "4 3 2.00 1680 8080 1.0 0.0 8 \n", + "\n", + " yr_built 2 3 4 5 \n", + "0 1955 0.0 1.0 0.0 0.0 \n", + "1 1951 0.0 1.0 0.0 0.0 \n", + "2 1933 0.0 1.0 0.0 0.0 \n", + "3 1965 0.0 0.0 0.0 1.0 \n", + "4 1987 0.0 1.0 0.0 0.0 " + ] + }, + "execution_count": 436, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "home_preds = df1.drop(['price'], axis=1)\n", + "home_target = df1['price']\n", + "home_preds.head()" + ] } ], "metadata": { From 21d12e59dca2323bc5b3613106715ee7a4c512c5 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 14:06:31 +0300 Subject: [PATCH 80/98] Update student.ipynb --- student.ipynb | 577 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 577 insertions(+) diff --git a/student.ipynb b/student.ipynb index 463aacac..1f03682e 100644 --- a/student.ipynb +++ b/student.ipynb @@ -8898,6 +8898,583 @@ "home_target = df1['price']\n", "home_preds.head()" ] + }, + { + "cell_type": "code", + "execution_count": 437, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
constbedroomsbathroomssqft_livingsqft_lotfloorswaterfrontgradeyr_built2345
01.031.00118056501.00.0719550.01.00.00.0
11.032.25257072422.00.0719510.01.00.00.0
21.021.00770100001.00.0619330.01.00.00.0
31.043.00196050001.00.0719650.00.00.01.0
41.032.00168080801.00.0819870.01.00.00.0
..........................................
215921.032.50153011313.00.0820090.01.00.00.0
215931.042.50231058132.00.0820140.01.00.00.0
215941.020.75102013502.00.0720090.01.00.00.0
215951.032.50160023882.00.0820040.01.00.00.0
215961.020.75102010762.00.0720080.01.00.00.0
\n", + "

20978 rows × 13 columns

\n", + "
" + ], + "text/plain": [ + " const bedrooms bathrooms sqft_living sqft_lot floors waterfront \\\n", + "0 1.0 3 1.00 1180 5650 1.0 0.0 \n", + "1 1.0 3 2.25 2570 7242 2.0 0.0 \n", + "2 1.0 2 1.00 770 10000 1.0 0.0 \n", + "3 1.0 4 3.00 1960 5000 1.0 0.0 \n", + "4 1.0 3 2.00 1680 8080 1.0 0.0 \n", + "... ... ... ... ... ... ... ... \n", + "21592 1.0 3 2.50 1530 1131 3.0 0.0 \n", + "21593 1.0 4 2.50 2310 5813 2.0 0.0 \n", + "21594 1.0 2 0.75 1020 1350 2.0 0.0 \n", + "21595 1.0 3 2.50 1600 2388 2.0 0.0 \n", + "21596 1.0 2 0.75 1020 1076 2.0 0.0 \n", + "\n", + " grade yr_built 2 3 4 5 \n", + "0 7 1955 0.0 1.0 0.0 0.0 \n", + "1 7 1951 0.0 1.0 0.0 0.0 \n", + "2 6 1933 0.0 1.0 0.0 0.0 \n", + "3 7 1965 0.0 0.0 0.0 1.0 \n", + "4 8 1987 0.0 1.0 0.0 0.0 \n", + "... ... ... ... ... ... ... \n", + "21592 8 2009 0.0 1.0 0.0 0.0 \n", + "21593 8 2014 0.0 1.0 0.0 0.0 \n", + "21594 7 2009 0.0 1.0 0.0 0.0 \n", + "21595 8 2004 0.0 1.0 0.0 0.0 \n", + "21596 7 2008 0.0 1.0 0.0 0.0 \n", + "\n", + "[20978 rows x 13 columns]" + ] + }, + "execution_count": 437, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use sm.add_constant() to add constant term/y-intercept\n", + "predictors = sm.add_constant(home_preds)\n", + "predictors" + ] + }, + { + "cell_type": "code", + "execution_count": 438, + "metadata": {}, + "outputs": [], + "source": [ + "model_last = sm.OLS(home_target, predictors).fit()" + ] + }, + { + "cell_type": "code", + "execution_count": 439, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: price R-squared: 0.608
Model: OLS Adj. R-squared: 0.608
Method: Least Squares F-statistic: 2714.
Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00
Time: 14:03:26 Log-Likelihood: -2.8457e+05
No. Observations: 20978 AIC: 5.692e+05
Df Residuals: 20965 BIC: 5.693e+05
Df Model: 12
Covariance Type: nonrobust
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
const 6.271e+06 1.17e+05 53.444 0.000 6.04e+06 6.5e+06
bedrooms -3.297e+04 1964.610 -16.782 0.000 -3.68e+04 -2.91e+04
bathrooms 4.428e+04 3155.827 14.032 0.000 3.81e+04 5.05e+04
sqft_living 136.4605 3.161 43.168 0.000 130.264 142.657
sqft_lot -0.1020 0.033 -3.078 0.002 -0.167 -0.037
floors 2.771e+04 3048.120 9.091 0.000 2.17e+04 3.37e+04
waterfront 6.05e+05 1.74e+04 34.702 0.000 5.71e+05 6.39e+05
grade 1.324e+05 1916.038 69.122 0.000 1.29e+05 1.36e+05
yr_built -3585.1348 59.361 -60.396 0.000 -3701.486 -3468.783
2 -2.727e+04 3.86e+04 -0.706 0.480 -1.03e+05 4.84e+04
3 -3446.1909 3.58e+04 -0.096 0.923 -7.36e+04 6.67e+04
4 1.041e+04 3.58e+04 0.291 0.771 -5.97e+04 8.05e+04
5 4.853e+04 3.6e+04 1.349 0.177 -2.2e+04 1.19e+05
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Omnibus: 9066.183 Durbin-Watson: 1.975
Prob(Omnibus): 0.000 Jarque-Bera (JB): 102134.623
Skew: 1.772 Prob(JB): 0.00
Kurtosis: 13.212 Cond. No. 3.93e+06


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 3.93e+06. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & price & \\textbf{ R-squared: } & 0.608 \\\\\n", + "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.608 \\\\\n", + "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2714. \\\\\n", + "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 14:03:26 & \\textbf{ Log-Likelihood: } & -2.8457e+05 \\\\\n", + "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & 5.692e+05 \\\\\n", + "\\textbf{Df Residuals:} & 20965 & \\textbf{ BIC: } & 5.693e+05 \\\\\n", + "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & 6.271e+06 & 1.17e+05 & 53.444 & 0.000 & 6.04e+06 & 6.5e+06 \\\\\n", + "\\textbf{bedrooms} & -3.297e+04 & 1964.610 & -16.782 & 0.000 & -3.68e+04 & -2.91e+04 \\\\\n", + "\\textbf{bathrooms} & 4.428e+04 & 3155.827 & 14.032 & 0.000 & 3.81e+04 & 5.05e+04 \\\\\n", + "\\textbf{sqft\\_living} & 136.4605 & 3.161 & 43.168 & 0.000 & 130.264 & 142.657 \\\\\n", + "\\textbf{sqft\\_lot} & -0.1020 & 0.033 & -3.078 & 0.002 & -0.167 & -0.037 \\\\\n", + "\\textbf{floors} & 2.771e+04 & 3048.120 & 9.091 & 0.000 & 2.17e+04 & 3.37e+04 \\\\\n", + "\\textbf{waterfront} & 6.05e+05 & 1.74e+04 & 34.702 & 0.000 & 5.71e+05 & 6.39e+05 \\\\\n", + "\\textbf{grade} & 1.324e+05 & 1916.038 & 69.122 & 0.000 & 1.29e+05 & 1.36e+05 \\\\\n", + "\\textbf{yr\\_built} & -3585.1348 & 59.361 & -60.396 & 0.000 & -3701.486 & -3468.783 \\\\\n", + "\\textbf{2} & -2.727e+04 & 3.86e+04 & -0.706 & 0.480 & -1.03e+05 & 4.84e+04 \\\\\n", + "\\textbf{3} & -3446.1909 & 3.58e+04 & -0.096 & 0.923 & -7.36e+04 & 6.67e+04 \\\\\n", + "\\textbf{4} & 1.041e+04 & 3.58e+04 & 0.291 & 0.771 & -5.97e+04 & 8.05e+04 \\\\\n", + "\\textbf{5} & 4.853e+04 & 3.6e+04 & 1.349 & 0.177 & -2.2e+04 & 1.19e+05 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Omnibus:} & 9066.183 & \\textbf{ Durbin-Watson: } & 1.975 \\\\\n", + "\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 102134.623 \\\\\n", + "\\textbf{Skew:} & 1.772 & \\textbf{ Prob(JB): } & 0.00 \\\\\n", + "\\textbf{Kurtosis:} & 13.212 & \\textbf{ Cond. No. } & 3.93e+06 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{OLS Regression Results}\n", + "\\end{center}\n", + "\n", + "Notes: \\newline\n", + " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n", + " [2] The condition number is large, 3.93e+06. This might indicate that there are \\newline\n", + " strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: price R-squared: 0.608\n", + "Model: OLS Adj. R-squared: 0.608\n", + "Method: Least Squares F-statistic: 2714.\n", + "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 14:03:26 Log-Likelihood: -2.8457e+05\n", + "No. Observations: 20978 AIC: 5.692e+05\n", + "Df Residuals: 20965 BIC: 5.693e+05\n", + "Df Model: 12 \n", + "Covariance Type: nonrobust \n", + "===============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "-------------------------------------------------------------------------------\n", + "const 6.271e+06 1.17e+05 53.444 0.000 6.04e+06 6.5e+06\n", + "bedrooms -3.297e+04 1964.610 -16.782 0.000 -3.68e+04 -2.91e+04\n", + "bathrooms 4.428e+04 3155.827 14.032 0.000 3.81e+04 5.05e+04\n", + "sqft_living 136.4605 3.161 43.168 0.000 130.264 142.657\n", + "sqft_lot -0.1020 0.033 -3.078 0.002 -0.167 -0.037\n", + "floors 2.771e+04 3048.120 9.091 0.000 2.17e+04 3.37e+04\n", + "waterfront 6.05e+05 1.74e+04 34.702 0.000 5.71e+05 6.39e+05\n", + "grade 1.324e+05 1916.038 69.122 0.000 1.29e+05 1.36e+05\n", + "yr_built -3585.1348 59.361 -60.396 0.000 -3701.486 -3468.783\n", + "2 -2.727e+04 3.86e+04 -0.706 0.480 -1.03e+05 4.84e+04\n", + "3 -3446.1909 3.58e+04 -0.096 0.923 -7.36e+04 6.67e+04\n", + "4 1.041e+04 3.58e+04 0.291 0.771 -5.97e+04 8.05e+04\n", + "5 4.853e+04 3.6e+04 1.349 0.177 -2.2e+04 1.19e+05\n", + "==============================================================================\n", + "Omnibus: 9066.183 Durbin-Watson: 1.975\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 102134.623\n", + "Skew: 1.772 Prob(JB): 0.00\n", + "Kurtosis: 13.212 Cond. No. 3.93e+06\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 3.93e+06. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 439, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_last.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 440, + "metadata": {}, + "outputs": [], + "source": [ + "X3_train, X3_test, y3_train, y3_test = train_test_split(home_preds, home_target, random_state=42)" + ] + }, + { + "cell_type": "code", + "execution_count": 441, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "X3_train is a DataFrame with 15733 rows and 12 columns\n", + "y3_train is a Series with 15733 values\n" + ] + } + ], + "source": [ + "print(f\"X3_train is a DataFrame with {X3_train.shape[0]} rows and {X3_train.shape[1]} columns\")\n", + "print(f\"y3_train is a Series with {y3_train.shape[0]} values\")\n", + "\n", + "# We always should have the same number of rows in X as values in y\n", + "assert X3_train.shape[0] == y3_train.shape[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 442, + "metadata": {}, + "outputs": [], + "source": [ + "X3_train_final = X3_train\n", + "X3_test_final = X3_test" + ] + }, + { + "cell_type": "code", + "execution_count": 445, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.6172888187558685" + ] + }, + "execution_count": 445, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.linear_model import LinearRegression\n", + "\n", + "# Convert all column names to strings\n", + "X3_test_final.columns = X3_test_final.columns.astype(str)\n", + "\n", + "\n", + "# Create and fit the LinearRegression model\n", + "final_model1 = LinearRegression()\n", + "final_model1.fit(X3_train_final, y3_train)\n", + "\n", + "# Evaluate the model\n", + "final_model1.score(X3_test_final, y3_test)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 446, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "bedrooms -34176.178912\n", + "bathrooms 45405.475771\n", + "sqft_living 134.687758\n", + "sqft_lot -0.073950\n", + "floors 27755.688990\n", + "waterfront 607066.744164\n", + "grade 134307.611086\n", + "yr_built -3604.595878\n", + "2 24583.808899\n", + "3 47732.087851\n", + "4 63586.399956\n", + "5 100360.721272\n", + "Name: Coefficients, dtype: float64\n", + "\n", + "Intercept: 6248401.994385188\n" + ] + } + ], + "source": [ + "print(pd.Series(final_model1.coef_, index=X3_train_final.columns, name=\"Coefficients\"))\n", + "print()\n", + "print(\"Intercept:\", final_model1.intercept_)" + ] } ], "metadata": { From 8f9c2d43b9ee9d0c855bfbe75f13e18a9aaf7aae Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 14:14:58 +0300 Subject: [PATCH 81/98] Update student.ipynb --- student.ipynb | 1459 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 1459 insertions(+) diff --git a/student.ipynb b/student.ipynb index 1f03682e..8ded9006 100644 --- a/student.ipynb +++ b/student.ipynb @@ -9475,6 +9475,1465 @@ "print()\n", "print(\"Intercept:\", final_model1.intercept_)" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Model #6: Final Model\n", + "\n", + "Utilizing pertinent features, excluding multicollinear features, applying log transformation, and employing OneHotEncoding." + ] + }, + { + "cell_type": "code", + "execution_count": 447, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 20978 entries, 0 to 21596\n", + "Data columns (total 14 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 id 20978 non-null int64 \n", + " 1 price 20978 non-null int32 \n", + " 2 bedrooms 20978 non-null int64 \n", + " 3 bathrooms 20978 non-null float64 \n", + " 4 sqft_living 20978 non-null int64 \n", + " 5 sqft_lot 20978 non-null int64 \n", + " 6 floors 20978 non-null float64 \n", + " 7 waterfront 20978 non-null float64 \n", + " 8 grade 20978 non-null int32 \n", + " 9 yr_built 20978 non-null int64 \n", + " 10 2 1 non-null Sparse[float64, 0]\n", + " 11 3 1 non-null Sparse[float64, 0]\n", + " 12 4 1 non-null Sparse[float64, 0]\n", + " 13 5 1 non-null Sparse[float64, 0]\n", + "dtypes: Sparse[float64, 0](4), float64(3), int32(2), int64(5)\n", + "memory usage: 1.8 MB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 448, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
pricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontgradeyr_built2345
022190031.00118056501.00.0719550.01.00.00.0
153800032.25257072422.00.0719510.01.00.00.0
218000021.00770100001.00.0619330.01.00.00.0
360400043.00196050001.00.0719650.00.00.01.0
451000032.00168080801.00.0819870.01.00.00.0
\n", + "
" + ], + "text/plain": [ + " price bedrooms bathrooms sqft_living sqft_lot floors waterfront \\\n", + "0 221900 3 1.00 1180 5650 1.0 0.0 \n", + "1 538000 3 2.25 2570 7242 2.0 0.0 \n", + "2 180000 2 1.00 770 10000 1.0 0.0 \n", + "3 604000 4 3.00 1960 5000 1.0 0.0 \n", + "4 510000 3 2.00 1680 8080 1.0 0.0 \n", + "\n", + " grade yr_built 2 3 4 5 \n", + "0 7 1955 0.0 1.0 0.0 0.0 \n", + "1 7 1951 0.0 1.0 0.0 0.0 \n", + "2 6 1933 0.0 1.0 0.0 0.0 \n", + "3 7 1965 0.0 0.0 0.0 1.0 \n", + "4 8 1987 0.0 1.0 0.0 0.0 " + ] + }, + "execution_count": 448, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = df.drop('id', axis=1)\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 449, + "metadata": {}, + "outputs": [], + "source": [ + "continuous = ['sqft_living', 'sqft_lot', 'price']\n", + "categoricals = ['bedrooms', 'bathrooms', 'floors', 'waterfront', 'grade',2,3,4,5]" + ] + }, + { + "cell_type": "code", + "execution_count": 450, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
sqft_livingsqft_lotprice
011805650221900
125707242538000
277010000180000
319605000604000
416808080510000
............
2159215301131360000
2159323105813400000
2159410201350402101
2159516002388400000
2159610201076325000
\n", + "

20978 rows × 3 columns

\n", + "
" + ], + "text/plain": [ + " sqft_living sqft_lot price\n", + "0 1180 5650 221900\n", + "1 2570 7242 538000\n", + "2 770 10000 180000\n", + "3 1960 5000 604000\n", + "4 1680 8080 510000\n", + "... ... ... ...\n", + "21592 1530 1131 360000\n", + "21593 2310 5813 400000\n", + "21594 1020 1350 402101\n", + "21595 1600 2388 400000\n", + "21596 1020 1076 325000\n", + "\n", + "[20978 rows x 3 columns]" + ] + }, + "execution_count": 450, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[continuous]" + ] + }, + { + "cell_type": "code", + "execution_count": 451, + "metadata": {}, + "outputs": [], + "source": [ + "# Log transform and normalize\n", + "home_cont2 = df[continuous]\n", + "\n", + "# log features\n", + "log_names2 = [f'{column}_log' for column in home_cont2.columns]\n", + "\n", + "home_log2 = np.log(home_cont2)\n", + "home_log2.columns = log_names2\n", + "\n", + "# normalize (subract mean and divide by std)\n", + "\n", + "def normalize(feature):\n", + " return (feature - feature.mean()) / feature.std()\n", + "\n", + "home_log_norm2 = home_log2.apply(normalize)" + ] + }, + { + "cell_type": "code", + "execution_count": 452, + "metadata": {}, + "outputs": [], + "source": [ + "#remove multicollinear feature\n", + "home_ohe2 = df.drop('sqft_living', axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 453, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
sqft_living_logsqft_lot_logprice_logpricebedroomsbathroomssqft_lotfloorswaterfrontgradeyr_built2345
0-1.136064-0.372410-1.43005122190031.0056501.00.0719550.01.00.00.0
10.789421-0.0941050.33761953800032.2572422.00.0719510.01.00.00.0
2-2.1920230.267662-1.84774218000021.00100001.00.0619330.01.00.00.0
30.119151-0.5094290.56858060400043.0050001.00.0719650.00.00.01.0
4-0.2621670.0286500.23094051000032.0080801.00.0819870.01.00.00.0
\n", + "
" + ], + "text/plain": [ + " sqft_living_log sqft_lot_log price_log price bedrooms bathrooms \\\n", + "0 -1.136064 -0.372410 -1.430051 221900 3 1.00 \n", + "1 0.789421 -0.094105 0.337619 538000 3 2.25 \n", + "2 -2.192023 0.267662 -1.847742 180000 2 1.00 \n", + "3 0.119151 -0.509429 0.568580 604000 4 3.00 \n", + "4 -0.262167 0.028650 0.230940 510000 3 2.00 \n", + "\n", + " sqft_lot floors waterfront grade yr_built 2 3 4 5 \n", + "0 5650 1.0 0.0 7 1955 0.0 1.0 0.0 0.0 \n", + "1 7242 2.0 0.0 7 1951 0.0 1.0 0.0 0.0 \n", + "2 10000 1.0 0.0 6 1933 0.0 1.0 0.0 0.0 \n", + "3 5000 1.0 0.0 7 1965 0.0 0.0 0.0 1.0 \n", + "4 8080 1.0 0.0 8 1987 0.0 1.0 0.0 0.0 " + ] + }, + "execution_count": 453, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "preprocessed2 = pd.concat([home_log_norm2, home_ohe2], axis=1)\n", + "preprocessed2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 454, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
sqft_living_logsqft_lot_logprice_logbedroomsbathroomssqft_lotfloorswaterfrontgradeyr_built2345
0-1.136064-0.372410-1.43005131.0056501.00.0719550.01.00.00.0
10.789421-0.0941050.33761932.2572422.00.0719510.01.00.00.0
2-2.1920230.267662-1.84774221.00100001.00.0619330.01.00.00.0
30.119151-0.5094290.56858043.0050001.00.0719650.00.00.01.0
4-0.2621670.0286500.23094032.0080801.00.0819870.01.00.00.0
\n", + "
" + ], + "text/plain": [ + " sqft_living_log sqft_lot_log price_log bedrooms bathrooms sqft_lot \\\n", + "0 -1.136064 -0.372410 -1.430051 3 1.00 5650 \n", + "1 0.789421 -0.094105 0.337619 3 2.25 7242 \n", + "2 -2.192023 0.267662 -1.847742 2 1.00 10000 \n", + "3 0.119151 -0.509429 0.568580 4 3.00 5000 \n", + "4 -0.262167 0.028650 0.230940 3 2.00 8080 \n", + "\n", + " floors waterfront grade yr_built 2 3 4 5 \n", + "0 1.0 0.0 7 1955 0.0 1.0 0.0 0.0 \n", + "1 2.0 0.0 7 1951 0.0 1.0 0.0 0.0 \n", + "2 1.0 0.0 6 1933 0.0 1.0 0.0 0.0 \n", + "3 1.0 0.0 7 1965 0.0 0.0 0.0 1.0 \n", + "4 1.0 0.0 8 1987 0.0 1.0 0.0 0.0 " + ] + }, + "execution_count": 454, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X2 = preprocessed2.drop('price', axis=1)\n", + "X2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 455, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
sqft_living_logsqft_lot_logprice_logbedroomsbathroomsfloorswaterfrontgradeyr_built2345
0-1.136064-0.372410-1.43005131.001.00.0719550.01.00.00.0
10.789421-0.0941050.33761932.252.00.0719510.01.00.00.0
2-2.1920230.267662-1.84774221.001.00.0619330.01.00.00.0
30.119151-0.5094290.56858043.001.00.0719650.00.00.01.0
4-0.2621670.0286500.23094032.001.00.0819870.01.00.00.0
\n", + "
" + ], + "text/plain": [ + " sqft_living_log sqft_lot_log price_log bedrooms bathrooms floors \\\n", + "0 -1.136064 -0.372410 -1.430051 3 1.00 1.0 \n", + "1 0.789421 -0.094105 0.337619 3 2.25 2.0 \n", + "2 -2.192023 0.267662 -1.847742 2 1.00 1.0 \n", + "3 0.119151 -0.509429 0.568580 4 3.00 1.0 \n", + "4 -0.262167 0.028650 0.230940 3 2.00 1.0 \n", + "\n", + " waterfront grade yr_built 2 3 4 5 \n", + "0 0.0 7 1955 0.0 1.0 0.0 0.0 \n", + "1 0.0 7 1951 0.0 1.0 0.0 0.0 \n", + "2 0.0 6 1933 0.0 1.0 0.0 0.0 \n", + "3 0.0 7 1965 0.0 0.0 0.0 1.0 \n", + "4 0.0 8 1987 0.0 1.0 0.0 0.0 " + ] + }, + "execution_count": 455, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X2 = X2.drop('sqft_lot', axis=1)\n", + "X2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 456, + "metadata": {}, + "outputs": [], + "source": [ + "y2 = preprocessed2['price_log']" + ] + }, + { + "cell_type": "code", + "execution_count": 457, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: price_log R-squared: 1.000
Model: OLS Adj. R-squared: 1.000
Method: Least Squares F-statistic: 1.306e+30
Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00
Time: 14:09:35 Log-Likelihood: 6.2012e+05
No. Observations: 20978 AIC: -1.240e+06
Df Residuals: 20964 BIC: -1.240e+06
Df Model: 13
Covariance Type: nonrobust
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
const 1.243e-14 2.32e-14 0.537 0.591 -3.3e-14 5.78e-14
sqft_living_log 3.4e-16 5.22e-16 0.651 0.515 -6.83e-16 1.36e-15
sqft_lot_log -3.973e-16 2.86e-16 -1.389 0.165 -9.58e-16 1.63e-16
price_log 1.0000 3.9e-16 2.56e+15 0.000 1.000 1.000
bedrooms 2.108e-16 3.78e-16 0.557 0.577 -5.31e-16 9.52e-16
bathrooms 1.787e-16 6.04e-16 0.296 0.767 -1.01e-15 1.36e-15
floors -8.327e-17 6.05e-16 -0.138 0.891 -1.27e-15 1.1e-15
waterfront 2.567e-16 3.28e-15 0.078 0.938 -6.18e-15 6.69e-15
grade -3.478e-16 3.91e-16 -0.890 0.373 -1.11e-15 4.18e-16
yr_built 1.117e-17 1.2e-17 0.930 0.352 -1.24e-17 3.47e-17
2 1.776e-15 7.2e-15 0.247 0.805 -1.23e-14 1.59e-14
3 2.665e-15 6.67e-15 0.399 0.690 -1.04e-14 1.57e-14
4 1.693e-15 6.67e-15 0.254 0.800 -1.14e-14 1.48e-14
5 2.137e-15 6.71e-15 0.318 0.750 -1.1e-14 1.53e-14
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Omnibus: 339.596 Durbin-Watson: 0.001
Prob(Omnibus): 0.000 Jarque-Bera (JB): 280.667
Skew: 0.215 Prob(JB): 1.13e-61
Kurtosis: 2.631 Cond. No. 1.91e+05


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.91e+05. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & price\\_log & \\textbf{ R-squared: } & 1.000 \\\\\n", + "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 1.000 \\\\\n", + "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1.306e+30 \\\\\n", + "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 14:09:35 & \\textbf{ Log-Likelihood: } & 6.2012e+05 \\\\\n", + "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & -1.240e+06 \\\\\n", + "\\textbf{Df Residuals:} & 20964 & \\textbf{ BIC: } & -1.240e+06 \\\\\n", + "\\textbf{Df Model:} & 13 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & 1.243e-14 & 2.32e-14 & 0.537 & 0.591 & -3.3e-14 & 5.78e-14 \\\\\n", + "\\textbf{sqft\\_living\\_log} & 3.4e-16 & 5.22e-16 & 0.651 & 0.515 & -6.83e-16 & 1.36e-15 \\\\\n", + "\\textbf{sqft\\_lot\\_log} & -3.973e-16 & 2.86e-16 & -1.389 & 0.165 & -9.58e-16 & 1.63e-16 \\\\\n", + "\\textbf{price\\_log} & 1.0000 & 3.9e-16 & 2.56e+15 & 0.000 & 1.000 & 1.000 \\\\\n", + "\\textbf{bedrooms} & 2.108e-16 & 3.78e-16 & 0.557 & 0.577 & -5.31e-16 & 9.52e-16 \\\\\n", + "\\textbf{bathrooms} & 1.787e-16 & 6.04e-16 & 0.296 & 0.767 & -1.01e-15 & 1.36e-15 \\\\\n", + "\\textbf{floors} & -8.327e-17 & 6.05e-16 & -0.138 & 0.891 & -1.27e-15 & 1.1e-15 \\\\\n", + "\\textbf{waterfront} & 2.567e-16 & 3.28e-15 & 0.078 & 0.938 & -6.18e-15 & 6.69e-15 \\\\\n", + "\\textbf{grade} & -3.478e-16 & 3.91e-16 & -0.890 & 0.373 & -1.11e-15 & 4.18e-16 \\\\\n", + "\\textbf{yr\\_built} & 1.117e-17 & 1.2e-17 & 0.930 & 0.352 & -1.24e-17 & 3.47e-17 \\\\\n", + "\\textbf{2} & 1.776e-15 & 7.2e-15 & 0.247 & 0.805 & -1.23e-14 & 1.59e-14 \\\\\n", + "\\textbf{3} & 2.665e-15 & 6.67e-15 & 0.399 & 0.690 & -1.04e-14 & 1.57e-14 \\\\\n", + "\\textbf{4} & 1.693e-15 & 6.67e-15 & 0.254 & 0.800 & -1.14e-14 & 1.48e-14 \\\\\n", + "\\textbf{5} & 2.137e-15 & 6.71e-15 & 0.318 & 0.750 & -1.1e-14 & 1.53e-14 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Omnibus:} & 339.596 & \\textbf{ Durbin-Watson: } & 0.001 \\\\\n", + "\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 280.667 \\\\\n", + "\\textbf{Skew:} & 0.215 & \\textbf{ Prob(JB): } & 1.13e-61 \\\\\n", + "\\textbf{Kurtosis:} & 2.631 & \\textbf{ Cond. No. } & 1.91e+05 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{OLS Regression Results}\n", + "\\end{center}\n", + "\n", + "Notes: \\newline\n", + " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n", + " [2] The condition number is large, 1.91e+05. This might indicate that there are \\newline\n", + " strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: price_log R-squared: 1.000\n", + "Model: OLS Adj. R-squared: 1.000\n", + "Method: Least Squares F-statistic: 1.306e+30\n", + "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 14:09:35 Log-Likelihood: 6.2012e+05\n", + "No. Observations: 20978 AIC: -1.240e+06\n", + "Df Residuals: 20964 BIC: -1.240e+06\n", + "Df Model: 13 \n", + "Covariance Type: nonrobust \n", + "===================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "-----------------------------------------------------------------------------------\n", + "const 1.243e-14 2.32e-14 0.537 0.591 -3.3e-14 5.78e-14\n", + "sqft_living_log 3.4e-16 5.22e-16 0.651 0.515 -6.83e-16 1.36e-15\n", + "sqft_lot_log -3.973e-16 2.86e-16 -1.389 0.165 -9.58e-16 1.63e-16\n", + "price_log 1.0000 3.9e-16 2.56e+15 0.000 1.000 1.000\n", + "bedrooms 2.108e-16 3.78e-16 0.557 0.577 -5.31e-16 9.52e-16\n", + "bathrooms 1.787e-16 6.04e-16 0.296 0.767 -1.01e-15 1.36e-15\n", + "floors -8.327e-17 6.05e-16 -0.138 0.891 -1.27e-15 1.1e-15\n", + "waterfront 2.567e-16 3.28e-15 0.078 0.938 -6.18e-15 6.69e-15\n", + "grade -3.478e-16 3.91e-16 -0.890 0.373 -1.11e-15 4.18e-16\n", + "yr_built 1.117e-17 1.2e-17 0.930 0.352 -1.24e-17 3.47e-17\n", + "2 1.776e-15 7.2e-15 0.247 0.805 -1.23e-14 1.59e-14\n", + "3 2.665e-15 6.67e-15 0.399 0.690 -1.04e-14 1.57e-14\n", + "4 1.693e-15 6.67e-15 0.254 0.800 -1.14e-14 1.48e-14\n", + "5 2.137e-15 6.71e-15 0.318 0.750 -1.1e-14 1.53e-14\n", + "==============================================================================\n", + "Omnibus: 339.596 Durbin-Watson: 0.001\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 280.667\n", + "Skew: 0.215 Prob(JB): 1.13e-61\n", + "Kurtosis: 2.631 Cond. No. 1.91e+05\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 1.91e+05. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 457, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_int2 = sm.add_constant(X2)\n", + "model6 = sm.OLS(y2,X_int2).fit()\n", + "model6.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### R-squared: The R-squared value of 0.613 suggests that the model can explain approximately 61% of the variability in price around its mean.\n", + "##### The features exhibit high p-values. Let's consider removing 'condition_2'." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Model #7: Final Model Fixing." + ] + }, + { + "cell_type": "code", + "execution_count": 458, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
sqft_living_logsqft_lot_logprice_logbedroomsbathroomsfloorswaterfrontgradeyr_built345
0-1.136064-0.372410-1.43005131.001.00.0719551.00.00.0
10.789421-0.0941050.33761932.252.00.0719511.00.00.0
2-2.1920230.267662-1.84774221.001.00.0619331.00.00.0
30.119151-0.5094290.56858043.001.00.0719650.00.01.0
4-0.2621670.0286500.23094032.001.00.0819871.00.00.0
\n", + "
" + ], + "text/plain": [ + " sqft_living_log sqft_lot_log price_log bedrooms bathrooms floors \\\n", + "0 -1.136064 -0.372410 -1.430051 3 1.00 1.0 \n", + "1 0.789421 -0.094105 0.337619 3 2.25 2.0 \n", + "2 -2.192023 0.267662 -1.847742 2 1.00 1.0 \n", + "3 0.119151 -0.509429 0.568580 4 3.00 1.0 \n", + "4 -0.262167 0.028650 0.230940 3 2.00 1.0 \n", + "\n", + " waterfront grade yr_built 3 4 5 \n", + "0 0.0 7 1955 1.0 0.0 0.0 \n", + "1 0.0 7 1951 1.0 0.0 0.0 \n", + "2 0.0 6 1933 1.0 0.0 0.0 \n", + "3 0.0 7 1965 0.0 0.0 1.0 \n", + "4 0.0 8 1987 1.0 0.0 0.0 " + ] + }, + "execution_count": 458, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X2 = X2.drop(2, axis=1)\n", + "X2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 459, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: price_log R-squared: 1.000
Model: OLS Adj. R-squared: 1.000
Method: Least Squares F-statistic: 1.115e+30
Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00
Time: 14:11:32 Log-Likelihood: 6.1762e+05
No. Observations: 20978 AIC: -1.235e+06
Df Residuals: 20965 BIC: -1.235e+06
Df Model: 12
Covariance Type: nonrobust
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
const 1.332e-14 2.53e-14 0.527 0.598 -3.63e-14 6.29e-14
sqft_living_log -8.847e-17 5.88e-16 -0.150 0.880 -1.24e-15 1.06e-15
sqft_lot_log -2.949e-17 3.22e-16 -0.092 0.927 -6.61e-16 6.02e-16
price_log 1.0000 4.39e-16 2.28e+15 0.000 1.000 1.000
bedrooms -8.934e-17 4.26e-16 -0.210 0.834 -9.25e-16 7.46e-16
bathrooms 4.979e-16 6.81e-16 0.731 0.465 -8.37e-16 1.83e-15
floors 1.041e-16 6.82e-16 0.153 0.879 -1.23e-15 1.44e-15
waterfront 2.637e-16 3.7e-15 0.071 0.943 -6.99e-15 7.52e-15
grade -6.592e-17 4.4e-16 -0.150 0.881 -9.29e-16 7.97e-16
yr_built 1.334e-17 1.35e-17 0.986 0.324 -1.32e-17 3.98e-17
3 -6.661e-16 2.95e-15 -0.226 0.821 -6.44e-15 5.11e-15
4 1.7e-16 2.96e-15 0.057 0.954 -5.63e-15 5.97e-15
5 -2.359e-16 3.08e-15 -0.077 0.939 -6.27e-15 5.8e-15
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Omnibus: 332.220 Durbin-Watson: 0.001
Prob(Omnibus): 0.000 Jarque-Bera (JB): 348.034
Skew: 0.315 Prob(JB): 2.66e-76
Kurtosis: 2.994 Cond. No. 1.82e+05


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.82e+05. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & price\\_log & \\textbf{ R-squared: } & 1.000 \\\\\n", + "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 1.000 \\\\\n", + "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1.115e+30 \\\\\n", + "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 14:11:32 & \\textbf{ Log-Likelihood: } & 6.1762e+05 \\\\\n", + "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & -1.235e+06 \\\\\n", + "\\textbf{Df Residuals:} & 20965 & \\textbf{ BIC: } & -1.235e+06 \\\\\n", + "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & 1.332e-14 & 2.53e-14 & 0.527 & 0.598 & -3.63e-14 & 6.29e-14 \\\\\n", + "\\textbf{sqft\\_living\\_log} & -8.847e-17 & 5.88e-16 & -0.150 & 0.880 & -1.24e-15 & 1.06e-15 \\\\\n", + "\\textbf{sqft\\_lot\\_log} & -2.949e-17 & 3.22e-16 & -0.092 & 0.927 & -6.61e-16 & 6.02e-16 \\\\\n", + "\\textbf{price\\_log} & 1.0000 & 4.39e-16 & 2.28e+15 & 0.000 & 1.000 & 1.000 \\\\\n", + "\\textbf{bedrooms} & -8.934e-17 & 4.26e-16 & -0.210 & 0.834 & -9.25e-16 & 7.46e-16 \\\\\n", + "\\textbf{bathrooms} & 4.979e-16 & 6.81e-16 & 0.731 & 0.465 & -8.37e-16 & 1.83e-15 \\\\\n", + "\\textbf{floors} & 1.041e-16 & 6.82e-16 & 0.153 & 0.879 & -1.23e-15 & 1.44e-15 \\\\\n", + "\\textbf{waterfront} & 2.637e-16 & 3.7e-15 & 0.071 & 0.943 & -6.99e-15 & 7.52e-15 \\\\\n", + "\\textbf{grade} & -6.592e-17 & 4.4e-16 & -0.150 & 0.881 & -9.29e-16 & 7.97e-16 \\\\\n", + "\\textbf{yr\\_built} & 1.334e-17 & 1.35e-17 & 0.986 & 0.324 & -1.32e-17 & 3.98e-17 \\\\\n", + "\\textbf{3} & -6.661e-16 & 2.95e-15 & -0.226 & 0.821 & -6.44e-15 & 5.11e-15 \\\\\n", + "\\textbf{4} & 1.7e-16 & 2.96e-15 & 0.057 & 0.954 & -5.63e-15 & 5.97e-15 \\\\\n", + "\\textbf{5} & -2.359e-16 & 3.08e-15 & -0.077 & 0.939 & -6.27e-15 & 5.8e-15 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Omnibus:} & 332.220 & \\textbf{ Durbin-Watson: } & 0.001 \\\\\n", + "\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 348.034 \\\\\n", + "\\textbf{Skew:} & 0.315 & \\textbf{ Prob(JB): } & 2.66e-76 \\\\\n", + "\\textbf{Kurtosis:} & 2.994 & \\textbf{ Cond. No. } & 1.82e+05 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{OLS Regression Results}\n", + "\\end{center}\n", + "\n", + "Notes: \\newline\n", + " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n", + " [2] The condition number is large, 1.82e+05. This might indicate that there are \\newline\n", + " strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: price_log R-squared: 1.000\n", + "Model: OLS Adj. R-squared: 1.000\n", + "Method: Least Squares F-statistic: 1.115e+30\n", + "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 14:11:32 Log-Likelihood: 6.1762e+05\n", + "No. Observations: 20978 AIC: -1.235e+06\n", + "Df Residuals: 20965 BIC: -1.235e+06\n", + "Df Model: 12 \n", + "Covariance Type: nonrobust \n", + "===================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "-----------------------------------------------------------------------------------\n", + "const 1.332e-14 2.53e-14 0.527 0.598 -3.63e-14 6.29e-14\n", + "sqft_living_log -8.847e-17 5.88e-16 -0.150 0.880 -1.24e-15 1.06e-15\n", + "sqft_lot_log -2.949e-17 3.22e-16 -0.092 0.927 -6.61e-16 6.02e-16\n", + "price_log 1.0000 4.39e-16 2.28e+15 0.000 1.000 1.000\n", + "bedrooms -8.934e-17 4.26e-16 -0.210 0.834 -9.25e-16 7.46e-16\n", + "bathrooms 4.979e-16 6.81e-16 0.731 0.465 -8.37e-16 1.83e-15\n", + "floors 1.041e-16 6.82e-16 0.153 0.879 -1.23e-15 1.44e-15\n", + "waterfront 2.637e-16 3.7e-15 0.071 0.943 -6.99e-15 7.52e-15\n", + "grade -6.592e-17 4.4e-16 -0.150 0.881 -9.29e-16 7.97e-16\n", + "yr_built 1.334e-17 1.35e-17 0.986 0.324 -1.32e-17 3.98e-17\n", + "3 -6.661e-16 2.95e-15 -0.226 0.821 -6.44e-15 5.11e-15\n", + "4 1.7e-16 2.96e-15 0.057 0.954 -5.63e-15 5.97e-15\n", + "5 -2.359e-16 3.08e-15 -0.077 0.939 -6.27e-15 5.8e-15\n", + "==============================================================================\n", + "Omnibus: 332.220 Durbin-Watson: 0.001\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 348.034\n", + "Skew: 0.315 Prob(JB): 2.66e-76\n", + "Kurtosis: 2.994 Cond. No. 1.82e+05\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 1.82e+05. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 459, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_int2 = sm.add_constant(X2)\n", + "model7 = sm.OLS(y2,X_int2).fit()\n", + "model7.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### R-squared: With an R-squared value of 0.613, the model can explain approximately 61% of the variability in price around its mean.\n", + "\n", + "##### p-value: All p-values are less than 0.5, allowing us to reject the null hypothesis." + ] + }, + { + "cell_type": "code", + "execution_count": 460, + "metadata": {}, + "outputs": [], + "source": [ + "X2_train, X2_test, y2_train, y2_test = train_test_split(X2, y2, random_state=42)" + ] + }, + { + "cell_type": "code", + "execution_count": 461, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "X2_train is a DataFrame with 15733 rows and 12 columns\n", + "y2_train is a Series with 15733 values\n" + ] + } + ], + "source": [ + "print(f\"X2_train is a DataFrame with {X2_train.shape[0]} rows and {X2_train.shape[1]} columns\")\n", + "print(f\"y2_train is a Series with {y2_train.shape[0]} values\")\n", + "\n", + "# Always should have the same number of rows in X as values in y\n", + "assert X2_train.shape[0] == y2_train.shape[0]" + ] } ], "metadata": { From 1e75e4065d1e702f151d8f6e3fa2e3f9c7103272 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 14:27:59 +0300 Subject: [PATCH 82/98] Update jointplot.png --- jointplot.png | Bin 47349 -> 47380 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/jointplot.png b/jointplot.png index 580fc7611e6372cd64b1d729ed56bda9dd91fc85..8d74cedc2a6eb91bc09fdeb076d2279dae032692 100644 GIT binary patch literal 47380 zcmd?RbyQSs`!+lvEeKK~D4~>;q<~Tq(kTqx-HjkADc#*IE!`z04I7LAMc8wTHp5b)kOm~P;RA0O1zu7`gvU2kE??yIwsA@nYD%Tpa{5{0y&C0~y>C>OKDUajjMISn9J!iTg zLA87*mt#oqHmA`PNv&Omv)S;#LQ~wVtnv1?&e6IsN@814Ay!c-?R;lEVn1azB`2yu zHuaciSU1l!iQE@Q5Uqgxn}nU(_9+4(C(gWdR}A&Byn6h?E@jMCjq*0E30NyXqcg)9v`2W3vlqn4Gy-)rhO|E zMZhR9^=>=7;!pLOVbr}cWn{*5&&?Mm6vrVV(#Ju9mveG_3m}#J=7Wf@aJ>A206z|_ z%Q5rG|7kr>Vu+uk4Y(vn4MXdt$B;AoOwN3LyN36fM(LuNRqKP%8{`+@+6r-zX*sCV z6d%eK((__L7cWkW`p=7n%ZaJVF=0~pM&xF|{9>N0eFH{NrNj6yFaPKFi*?~3#YHz( z{IrG6`Usge=h>tSeXHkXr*}K*0T(#)c&MEmTKw9VzNJCc%vnNUad-TT2=Bsjx*m3E z%#bc-H`XwIGVJH8AN1WT$x@{~m}?IE?#GJZ34ZU(hUIo|`lF9A+(=ie720)E<4s;| z$nRbrqrIbv=03QZyQN^Ca6O!6o3Y*EHh=iLaox?014SR~VKA*gfn9Hv|0C_EJ;$g$ zBmBf&ic$#rUc-#KHaz~7uU;+f4w{n(uE}yr!+5;FUKD7lsfvNXfKokvWU?{6^PO$mL3g1 z=@DwYvKiefaUQ$e8JWWUUe9FBY*bbi!{((LHvATiBKC9QnsdG83UCrX)YwSf1g?=s z-TTV#4ws8oE0!v0WHV)VDiTnNHU12I^yCD*}EBj6#VcO5Vu(#LOVs+a4*qB`&U zaCtmib{m+c=9gI*`5Z>g|2pY`}|^?mMKD8bDzTQuTecdQO0OW z1S~8MDVgp})BAS=(S2~Na6@~0o80`b+wxu&X#I~fOd38pO9*jAeH(FpQuaVEmu z<>~trmXc6D4Y!Z$osjmOIA*@Y&R#K$kAc<| zS#2X42VH-D!D<{ims19%xz#zn+fra_KPum36uy=k>m1EQBfaW?Y4NZ>cs^VP)Atf3 z996VNe*ZT8zLlyMIU3GmA6nLvaFO=5uP&BPiS8kFw;`c?GL*0J=jwMKdi8EwjS(Bw-eZ9{ z&nG68#E^rNBGU$E>_}eu1yL)SG(>VLcMg2)V3!^^Uu5oHj1;NUd}d&3bVZ%JDWkJ! z8wi7mj72Iq&<61xoI0Z?CResWiNiP1Gg`QPs->3`yRG5z8y8li^_@YtRI~L!3H-+c z0~6MsB~CDMW)vk(@V_$kRW&S$7Yzh9b;1L;aU^-@A{-f8C=PR8ap<^apH53uFRtGI zU^WVTq#hVScixkK=G`#f#~6I*5*OD_&eT!ErAmZM`!|=LIFqh#(;Z z3@DY-J@}6UGN6q5|K|e?e#pBO3$7gI zBbm^!$7;Fgdb!*gh}ZuL8`!MB?AQJqg}`;O3ZC1GmC1VhjS7#U1GkMg7iYDtSkhy5 zw>O)k*<2q_Xm8Iw?;dI2{h6@srHW_RX#zVDqs=(~fmYx}d49SF@!cWz-PhvuFTxt36fzvxWRnZq z{Bhd(V%VE~+N+JUl$1`kVV--iy6wUun_sHNgKy4$satp5f7#^a?~g)>i|)*mRxun7 z>grZW+!b(C$&=sxFNKtp>NJ?H2N$lf_%7P9_3mzOL^Oru@n=6QxI14T^&ElCdWIWF zPK3D}^IoPsR#_{M#JY*);9jHaxzz^hNyAR5`l0=-O$S!pl0QjM(jyQJeU)naZ}2l1 zB4_rxLpkR^pSRxKs5ClRj*@vEF1~d;^dak9T+|tA4d~G2IiIz6-ml*{>>#_v`7rN7 zGsLwL!cAu0AEt-Z(ROjcwS2^-rmntpeifYd_taJYIQ8fT-#Ithw`B#Fu%~bQldW4G zm#bh_FsxWwyOJ<9pD3`udiCtdgOy&I^iF73Gcze>?fMykGa1WJpDc9*AiydZvU78h z@$m32e$}@41(10Vjg5`LVDk93?Z}T7!E%^~`0uWBJ=;N8!+)C9AIN!C2nXL#Ab82T zE#rOe(nCY>0S5D6Hhy{VL-J)87U!&&x>Y?gSjUH1Th#sLbFGb=_wV1syadR-Zm!N( zYG$nLZwK>sUZ3sH1p~)Nb2NY6@?rFt$`_~NH@x3HpwJoqJ&o7(u#dhB2ID*Y zgguaK;xO;Bu@t9ng#c^1SPs4zOTS%hdPy375B6h=-Kuf#m6WXPisr$`M^1awe(~BK zk7fC9*!ga@WIHyF+u5bvF8j5+%RFy(SUnA)3?*MZ2LeQuqV;CaI<;2&YI=f+>s90Z zh52UJ)Y|A?N*H;hn2wnlhW5p`M>aiAKj<8<58Bjgn3$V)EC4rI4B)?}Fi=H-xot^m z3%*WeT8oGB9EReIdq53X{HJ@UDYa#-w;%VzcMc9d%nuEHoiEo%wQ4%*ZX&ZE;@((< zwg|FLNLZNO`Tm^q3dusjhAnDuUwQ1Lu0G>UHZeN7)YLplrT|tp zUNjB)VsXTuKObT6%9LNf;J`Ns-9s7GYZl9UNbg0EEUjnL1|2)m;?w=He+ZUg1ucUy zjX*D59=1wNzGi>2DerdPxX|T;&G&hJUTb4vn0w>N#@-_>XWe%5$?6^0$kdeTtN}Ve zqRnQFkfR7{fvoh#`tG8K-`_OpIIMZ6wDB<1+U;KYMJJ8j*^$%k>duguw?ZA&vlXShmQ<0 z0_QEbqUF3~D?w%DN7U5Rhn;w`i}9`3R8nI|`k0W*EIKvXm)iF;)-D$0r+ouXRc<^? zdcCH7OJ!BRMrbkDKrm{8kIi>MPWo|^0w$oZ|D5k?YPhsBUJ_t)KPBKriT6v66eEG1 zXPss&xje2fn)GX|7s49%8}2(gIvS?-+Yj>wd}zG_W|^^S#DbDM^T8zl^%8d7&DjhK zA0OWVQTlLz=k11PxBC3=xTXWyT!o9D`Fwt&q%H>Y<_;e|tjsLjzItUnKX9o8S%t9L zd7&VXAV&Dvr`DU9)~>cT7;Mq|K2zJ9`J)F_wYAx`wU78gtlO-9f4DnSi%s@tB;XKO znkb~4Agy}s`gpiUKb+V9YQGU%mhX}>>Eev*3D28HEoaqb z2wxjk+}G%}d(j2(McNncZWi=G{J^}dJ&u!|kCPXgp4o#uA}FTI5lMMRSIcbHe1`=0s5kNB3DV-L*<`|akk z`t>9#cRo!{oCm`tSJbhfzau8OK?_)64k?taSF7H%Eq*$FsPc*vRrwY}O z_%5ivA0;nbqginTUXYpZ3 zuN^KDD4a;2ly;*jUWAbLOur4MT9U_8;_*_7zPUN@B!j%-Vd%S!rq=rU$56hty*ZtD zd1i66;4%>5i?Y%^%lYFxoB8Mem-iT@Uw#} z8sO|8>{ftXd-9}{1zx$hJ#P(X8{*O*O&_*GkOJ6)Az&PM zgItj?|o-`F#2Ibb+*RXtVbX$80|#WFPfct&_q3G^q zw^u!pRbKuO_SY+FTW>7qZCn40mmMCb-#vkSwOx7F1foT=hWjr>=Tg${!b3wkEW7(t zcCm=ckES_s1Po3#q2HY@ni&*O~1m+t6Mil^GIK{jUa zH_h^74^j~nX`|71H^=!#xARm%vakg^Xz!?ptS6uU#F?iQB*#5`Y!FW!hFUe@=KUz;7(j~sQ)Kj@E6WW&#ME4S6> zv|ZL>od?aed|VHjAA$UKU~_$8+qq&3azlz;--|j>0d2;lIol7)ir3!&W5ngpERjpX-CR-jX{m^xl z+jtywXXj!>=rkkzYIDtH-y-pU1hxDaQ-R|{9Z!K;xi5w$=LYYVaum{LL!gSF=6Ygm zoNfY9dg)N5Ghy&whDnKjF`6RCV%|VqnvFaN6Cu56fbF@Y2-HJG6jrxze6D#%w)_IC zGFU-+OqeG(vt%^jv?Nw3RtO^-VyeW(afu-FwXfi^5WEL%DCU@N)^#VnwfCC*LUQX>^$t4kQ4N+ODc@e5l?){3Y4~ z>n{%`CXGWR^g-PuH~+1KZ;dku$NyJM*}tXI{_O#PYZE{#!1|xu5K*6=mr+nGHVas! z!hp9~cXxUwAkqf0!AcPS@ieh}-B}is#h#VM*49J8LLAE@;4eA<^q2M{qS=bia&5@9 z40<*^VUP=@%^yn0M&c;=L6jgvl5WyubuIP_5h3?Btat`N9ZV)wVfQw_m@LSNiSp`y zyr=S2dxy&7E$`^O< z11Zr#0F?VSfDQLmeDn7VgonL2A}G>qzgx7&Fh4&NYNL61JOGee81R+vStZt3Sz!O2 zC49K)hdbG&JKqz7t5aDZ*2sJuWoDE>{ZaIp^V+2NNtiHgylHGEt3LP;ddSjraD&Zo zb^vf{;I0vr2uVidX+Hpw0NG_bKrrZC?v5`UT!3T+*#BCMYUI>Gj~u0^kqO>ah1r!; z;p(N+f}D5?>~xwmuo7?)5<2D|o`cwsqfxCesFa-8+hzuqi9-S`6=ZovO{|k+r4`70 zF}`g?4Ksp(Z&X+ddZC%0UOW9xod*Og9ZGB|9?4&Z0Qz&-y4uo29wHEO^yIc)m;dw6 z$=n^%_|F9ih$7><3Do#XJ&ID9KTef=|3(ghpTq>ZfYRTy;efOKbsj}ZI!*04lioei=Y)1ri)eEH-)N_@B8tx3@I6zwv1$WY z@hfKK-^!=}RYuTWZ|v=k<8?4I^YMi_^MrwR=i=rzHh~nnI6|oOb_9Ul!9ew$q~v`F zz?WFN--l{nUVc6TEQ@v-g1w-{(@pWby`<;Xgw|^F=odpz`RO#CL2Gzy!}&lM+`w^xJe%PBD5u?Q+nDX=O?fTnS6-x(Ea$4_~7G2<6+o` zrh7XRWujb9x;wD>L*5)T;ROmKYTy2jAN}>qA8I_r)0LwN`D)ZTgyp|q@)yXQaQ%Al zk>QbOjIWa80iO&BE@hUtcp(@zCRmXQF&9i zRBmDNrRiIc7-gV%ZQYMC+G)MkcqOt7Bt(RbJV43Bj`$U>NJx?a^U70N ze@T#-UP^LOHx2`82`X<~*J$EYgrkYI7=DGu&POg z*m5-%Q_D@Mn)T7)S+qklnIqd%J)kQVER-Hcr3Duec6o~V8c&O3o_{u;A9exMhP9c^I!zhIGxkGV6^=p^I80c+v!r$&0|sc03()cHpSDoqbfmDlwK(-dKw9Y@%r{R~8e`x7etCymJ8O5p z#%eCeggpqA%nb*d_XG!)0e~A6LCVhEe-|Y-&S_SetMI~Y`+fSi=ixl82MPQ8R&G}_ z3*GC3$?+%k4s!xrJRf5H6{*E>M@ANVRt?;gVmHT$fyqSwB`^twMMm3(guMG&!!74* zLY}dij)YPooZ`c8>73W9+v=A|Z zFNv@&r=zY%E8r-tEmJ7y4A2Yt#DNfnMp6AQWh^CWW*PXA9jg=`z(k$6bclS9chr4w zHXZB*C7^v5yaRe3)Q1c@mhH9GuX$e8v-yPGpa6iBPY(lMDL^+#PVwn`7GzM) zfCaKVXnkXFK=q3VGESflOaHvs<)aTomx^cOtp9tIR<~Bj_!HGH0yq1eCHRyPrzi;) zjZT7Bo7XP_v#^?f;Wh?}elK7vv95~b>|A^-gfh%I|^q1{TiGJ6|-R3 z@5@kyEfA|r&PGS{AvZ|M4nzbC1vt1PuGBxMY3seZn_!$jQ1K`T3X+nu<)Nq0o{EVS z{#rNrNthn-1G2P2WMMV88b{eRj)FK;?-g^*EW_X>^!&bx#E=~cURc|+Xa7#lR@&*q zrik_byS6^lu)NKLki1AZT_d+zbt(9;=@$S%6-Ia0O@O*3fP)~^GfnN;RgyBf8=DSc zG5`TuMZE!FV!wA3126y2^ULaBl1vMkm>lZcvGN_91zP5kosw6>oy5~dOFERWDt|1OQ=c_T;5!gHbDYU=d##0)(^A-MreD@5IMx2=hQ%c^xqC%wG6d}dziZkih2A!?469c zo02GH9(f7e>F=vx3vm?Qe|bwxQT++B#b73isjnjcGzcW%H2)98=WQPll0{y+Nk5yy z6bb&iZujYlKNJw}zM*e6pvxPWn4drh@XHNR_y-JfmQ~iX(%I`1Qp zFPRI4;(KV={8{c>{KudvJ2{r1Q|m><7m+`N8gu{(QM|bO18WrN`~XA7-2D|4_*v(b z&*N;<(xc>miRdI1&B^Jx&j6WMEsGXP^xDbYZl&L% z5A$6yNR9dSuYH5GiI*Nn!7e>5JDLaHGnTwBq@<;n&StCw@=SA+FenU#+^Nhu%ou=y zKu3sXY@y);k_j?R&T=fJz$HMgzE=mWWFah2dp=oh{^+l|_44lb%Z-pzXP%25&uh_Z zpd8u3r6Eo*fb`=R{Pz?&#qgET5<>Y)MvB-nN`yW@YuUrRD8=glM+_0khx)%t)B_;8 zGs<9(mG}4e=eY@BDI%OT(*kR?zKShTNVK39KOxe0?jV`>DlKIKRQvvZw_&^{${73T z*x37^0vrXngMJZ~qKBl|8ojs|>#J8Nu*n8T^HH)!mt!MX+v=*pi#$Ow)zQ$BSCebC z|4YB|TV0S&KpYYODo_o-OT@F7VT@iz;c~MZ{$}_0%#acPkHRo9skdt5qf@*25)9C> zeIdz7Nz7bap8;uxe^Y*Se(<66tr$l}3vRVfpEY`c1{Jy-5LDbSF){x_VXi0d^q()_ zok+fH_HA}O_h#`2v~DdhkAdn)Xo(Y86wr|rq8QU^o7Na%#ncuMdzVQo(H_q2u!+O> zJ2IS0okv;Q-4R^J_lnFGT;GVbs_6#$SOerWP{F&+wXf88u68S(&!&uzYHFLYJg;g! zgU4j~d5u#F3!MRhc{Cz~y|lr9$Ngigs`8^9kPu_^=m7p<*=(W~Bn(eHKFxXg*tAL*aVjE~vG^KUR z7zue>*X2I3igd^w%qgCzUcfAm-h9|EE?flJ5~Fa5EIQg=YZGH*oZ(*Lu+bf)y*-X;R6`3yKl|s^T7aFD#+-D ziBWn_wBDXhRv6yryFChzKZWFv)Cu7}!|I#Pm|gZ23*$5w>LH$EDG28$q^0?n?tCdK z^66ir>&Z`<0Pc>QANd3{yy`3)9P+0)6vyNqLp)RaJX#nm%WJm0j#W0g_|1!4~?=qg0%@@^ZI^h-qF11Q*Mbmzk&EXo2}gV zo~KmJuKkX*%Vbh6GhIe$9aMCk!V`n zPPom_Bcl{2M&A1RGH8m|IPbUKdBEWQe}E~3N;4KA)nUKo%IbPt`-Z?lvuD`jj4cJo zZ<1;Kka7xIPrVL*tbYn7Evx3Zf@bfzlM6;&q!y_Nub@ zok05x`??w%HaaSQz0-P24>LCpkP)T!9SBG&h%_@Ot$2p<80c6h4!p}BAas!m~D3xY#0A*~GU~)_#Ee7`;&3Hjf_{tI9!w`QwG-pG!Z?i^b z2xY#bHi!UDS(xM-ndQD~jShZ}_N}ntJcd$WYj?L3Fb3t;3oTjvzhuHRC01&nK!KRn zl#-|6J(Zj0M>t4;n)X!XM}5&ON9(!urhqBe`AK+qw{C)057i*L99TMa;xB}^ISZ$( zSqr_(zJh5=r^hN$u(faZUv@@57ln!x&&|nL-D;F%9p8S}Bkj)pxyE*)juKobc>SAsqpU z(Z#5ZGaUuRof~EcDVZO=Yq@Z&*63IwG(hr8$uJ$*vgCdRN{TpQOl|X?B~&31+qMIK zuf6nqtgK<%@=~Fq`;E=|^W+`qz zTr%)zuo_u`Q+BY^mty4Nhp&LSC^fdhpW9vagFp4eixQ{73pWEX4{u}$MJEQ8PH*VM zy(%1c;7z9`)?GkyKX8cQ1%7V}#V{BgcuQ-rxAZPs{>d9B%we8mOvt|y^3c19{x;k| zRC)R5_;%Nr-~ROkM7?w$t@Lb!^zzX%;|4+!3~c1*Pv7z%aTcwBZN=3BCT>N{S1=nL3*tILOCT1q%r5kPpCoZ z3|`pon?e_d0sKv0!p9x&Eip4*!SDZPui5-Z1)~v(GZDTNN9BdU{Hdz2V2nzQ1BViSxJq_-t;n5V$cj&DrO%)UWc;TlB!Mif1uopbf$7rUb{@CQ2$*h6h7 zLwik#gN(@I6wM2fCO)!s6_aBYF9y>K!u!nV*_fs2d;2w$~e6XkZCe$Jb;SA z0rDQmS}B02nglYuM(J;wE6fKEmcir)DhyOs>vm<3YC-VA1DMea=SpD!U@lX4$SZ2nW7AlA%$jLSMf7cARX=?$2Zrr6RnbZ0~6Pj5M;&=MLy zW*Ecah+6f#_Ala91pP{rBbqL?vwTGS$CjDT+W$H$*FSD`|FW|vb zy8dePr7n9mEh#NwZn*ldT9ooqDz6qic@uvGY0gxdcdB6g@!^gdqRK+U1?9I`Eh@DI zVqx_>`DBJc%b$d@s-e?yzc~O zt-8BbMI37V2&<>RJ#P$Dl^Df|5k|vgmJ%3saMt({m6Q-`KHsGh_Rf<2sc+5&vwe0K!oUIRJOFW z`dVl-r}HNHo@7HiT;X(Jw~Qt72dnnV>|(h}EROF(g}opQIl#CkpD(<5{rXG&LyAhG zyuei1r(F(tPn2UOV7*x3oz2-RaDkO3{9L(&&){LstOjW9f;uzt+2qn7>r7S zn0F2et#nLy{O2QSU)2Nz^#ya;@H8GD=rMGVSnRx4AKXwRIw7o9P!RE235z10a*_d?RwixSDqh zQAKhXiOs1?Q6gv|?Nq^EuK}>&u6` z8>bayf~SVQ_`1ZuXHj?bjkt_8s9(`1yCV8?b#(-WH3+pY`;-Bfd^Gf-1@DtU27WwE z4jmAA@;I%W`a(jB$5p$D1o<9wHrpOYSt)|Gz3A3^Q^AxcxOowX78c(94{k+dVXlL@8*=`NQRdk>eQIj)gR7()2$$!Su#km=2yqYfxqEs=*P-v4+YI6#qH!gu2;z7msx#_ z&DLHsd`(G}-ZLl33k;(sQ=CfyknVBb%63+nG}bU$qG2rZ3g`jBD34Z9KaN6W-zZAj zc~kuE4x)hCcq;ifDs;()QDbd&9Hctql3pf1G0Nj3XJ=<~ zx%{RC>IFc{Nl8iMXjC(*&j>!J8Q8~WW4W;uJv(#c7;RfMATBg&^Bt#=i9W5#!Y!3jQz=C8hrua|A;?LKCMc=T~lg8lV@fTTe2#=^{{$ z`7;(x@J_a(K8Sm~Mk4?j#f=qnOxXD~79KTHH+kE~iudeKmrU>Rg;#wcxzY1Rn?L9^ zGjo2IPlm^;EFRAaNeJd;&4kco)YlIOS|&-aXdb^J4PRLbAnS%?7HBGQb7zNs4gWia zT8;1ko&3&VO zTFy^naH?j>k3e-_?re9;2bzewckiAI^D}YWS5~v10pv$DPIV+~XlNiu^FF?XCPz3I z+}LDNxa12>BM1a#E9?m>`w(IdzP7cOgHf8d_^`RE-@8&OcN5YA_^`J+L{EYVZa4^M zII1TP#APN_MS1`nsZw~OY5ZxqmBzQ25I}csuqk|C)CSCr!v2oIe!_NxSp#}v(XQUE zJ5S*SG|76g|DiP)s89NUg0G!(A^{!Ct@q%p*jiRlaJ}7cHr68aBr5@2?!x?3Il~BPZyiVoWn;QYh5HRUfq$5NLH1Z5asf>Hi(6fd;AuNi3XsNHy#S zIqER7nDcrAJW9&VICCH|_q#+kLB z?fb%lNjW!t<(po<!IhhUg7Ov6BlNyu3F+p5jIW?2XWe;13S*WcPm-eu{+2>H46;&7`EhvN-G`pT zdMak zFks=izH~FHM|enPU}wr~ww^uQ?st;LGh%P6I?d|X3B}!WFr1i0i6Eh^O-7^-84V1} z)bTUnpe+^_m3o^dDUGeCt%?Gl0)6V1%Exw=v2q6)EtxYcRUJ^_yxNFRdh}hazXQ7e zsJu4a2fO)HYWCwE+-ZI5-GySoZezV8yfe3eE79Xp2n3W3U&3qnKy|+uTv1?bC&F?DxPc zuP0^zaa-=YP3fB!l9Spw;w(7mD#Y~jT`L&tF%c|>lNmhpH&xmr%0sVZ$f8($$DX+= z{f*&-gNeF5`oo&>i{5OWy*qmJ1L*2=D7k4lZPDbqTtAeU7zFLI9dlg7+eW9%d453%?5rx`D0v8 zkw#TyJo5_*46lNcsQ_JrYWXrPV!WiHWA_K(`|QS*l$Q>dI-HjSX+~ydf7raHxPT`JkB+i9YTDpEX#aD%6A21Am@7ReA|j%_UUcRxq4y&(JW( zIzh+*oNdxQ8$>w9p81%%$qId@wi*$pCr)6Lm#D_~OrIGOuiU^kR&LEA4?Z-T4Ml-F zlXz&hE`Ok+m)@#sN}k1E^AnpI|L_HwXG-dD0*|cbraWheMN& zn_F9-bXVbyV03vIP=9}42kJfs7(53<_yTmX-wqECn>>O1J+#`_5{c$dy{z+ccM)N`(_;a`YCfha$ZX(NE%Of!+y|&$84JkiqJn_2XOlv+ zSnvHlouzl^LWy)!KZwoIq4L!jgE^W^k=7dJd-_#mY9;HN^K6ZJQJ|6tN7I2UVjL_w z%=5O<;2~eQuZe;qX;0UB$H-EguVNnHw1tF(zO%atX(W?y{)hufVz{(zJ*t~tgBqSytQ^~f`9rpUOw_{sc1dZURw7H|9 zzUWi0M2!RkHNOc)ZY6Ffyvp4i=}#;v<(Ury{^aWzMSZmNM>lB*WP8Q_n)609ZKq>6 zoeyP>nPRGXfEq{E^x|@?2iAtJuud5+aZD3FT~7wgl|W67K7j6_5ENEb2xbm#dU-7| zN;C#Mp3GICiQ|KtmZb3Hlz2C68O}~t%w)e%<@|yKiM!j@yE6QEiX6(IW_g0_M#j(8 zg9t#4%G~y^j*UXctdeROpI(PG%y_f8OGjZi+!M?BF%+r=2KD^MCk!N&eZ~@YV^?&+ zt#utE_6@_VuqfI^@Vv?N>f_F|>z@n~Y7qWZz6h+9eNi9wwmJwN75lWQ$jF58{-O$w zph9@hLS;;vXdQEGCY?NvGEpT!m)kLH0!WMjTSO^ z!Xc0OrSJiL$Jpz#cS?>q1an*Fhyy2YM;)F@eXViW<(JYKIY~T%%5vf_^1R&c@g3Wk z@UvWsq%HHP8C0tCYM%&Ig7T}3N$JJk>+J@&bL=HXwiN02fnZ-yM3m~t6oG>P+8yeI z=ziT{lCOWt6J*r6i?~~?1_l}@V?Xb*TA~PiH`6mFVl$jhcNs>;A?g=zdx}L9A*F7N z&KTp>m_Th)S<<-_7lSQ?p=NkQ2X1Gj1`6uY`!-jl&%1N<>msz&r#x84RPygD#PkhLY2 zcgo#?iI)&mbl4z56aPF(k&RcYc>M9s?=zb62anmM#tJfCR1sR3 zXn#Czm3TcHMLh6O>$r8cKpNcVn>6+Yw`;^1)2muZ@2P1=+vLEnUhuT}dDq4x{7OCM zHWzo-lsQyC7J9C)_Xs-JGmX9R8nGoLN05eu=ExRJxVv7b{|_nPqD?$@yvN zR1LbzlZOtY6HG>3Ugz^h;gwez(A|{czNUyDsmtJT!gZQ@GGsBF+LL~*4F=DzNqaH$ zSl7ooEm=)Tky#t)crFXF=GS+qkxxW!k-)iE@(Qh5hhjiC)7NcpQ9#$z~{KOMu7H^gc_~wQe8czb*5~4 zq8bT|I4h2WApw;M+=O$bW=gcWix4M`4@W2(Ztt#AUY%>Ea9-`&vK8G&piTOuBH@$u zc+(>7O}HNXnNhsyjz5AXXU4{hF)b!~_c}wWwGJ@sVS?=UGo`c!=hv&tQGUWoT-HQ_ zKoaKE!X${%U|d$Y(o6b;72ZP;jQFGb8lAj?RtMa2_uf`vTlv%xfzx2LPbtxp6w?vm zJjIif&0T%>_0}a^KPd6|*Z#ZfIma1j_!_0hc>3<;>28{t(!emj>Kt4>jU5E%I@({Z zqx+onwU>#YpJ^MnK^TjFglxC8^(@Z@diwbY*SybpmM!u$;#&lr>ayCajDcI?Al~mb zd`|~&UF`WR8cbg+@w8o+935A0Y7eB;I&m(?oSq_Mb89g6IW9h<7!Lt=-be2$Z-M;P zbtwF#0pT;^NaV(emX57-1;*1R?*ZsjnN6!WMi27XvKW=;+l2U5z;5LA$HR5Ff3_@T|7b{P+{nC9xoS0d&z~y0od1 zqp?K7WAC=bC|~Zui69Z_-gV`^ST+S$Fv=Q1tjBp__Ky*leC-}Rwd&)r@caw-JEL%V z$NppgjG`~LPE$qH#0e=0p-j%^#Cve;R`D ztnyDaZBp2w1F^s9&bgajFGYe~fHJOf`GSe3URyj~AGw6bT% z`_m{y)T`{24ou&oT^hk3A#pMCt#>gW(^0rOW)2;A7bc4t!yj#5v*xXs&5!#D&b)m; z%06-ajdWrP*GpF=bb)fTuabq$oEEVX*A=Tn*jTddQe|E#9o&JSHX5nGo}dF~YaZYf zAI1El2Fi)BbT1kO$UxIz78;tWx-j9fejrgUU9mgv7r3Q3Q~*ZEa`2x96?PoNK0NF_ zbQJ>A)|$hf-YECTgV=6VDwH2}=PTIPz};Nz_?;1bx+72#lTDS=tw}=w-qNvQKzW;h z{?3T3gMoPme;JSjV76IgE#{)BB6dtqEq8D#IwC;{BNgs=(eyJWBw`A#iUIAv(-h|c z(Bk|}=Ty{<=bHAYRee@$zehz>4(fCEZd;tak*)w5xE#m5V}cDL>I^d!@C=6tWE!-u z-d+QG!S*fEPW*(fjua)^GIxZouS}H!@<@Q>UD?n^LS(V;I1d9t`fSTb>TqM@E`r=^uehI#K}^6dVLb?Ptzsd;@U?`FSzMG()s`=L89P1 ze2BE@Xk5*WdLJ>7BeWPVgl$fXwTN`;&T2^Un#ljOo=v=LB{4^NklBvT1I#;mx2?Np zaYz@XaBCy(1O2th*#@&mc2%~G5zdVpg-($x1Xb#RQhfPJiC{xX!h&s?#8FguZ?Iqu>PsxaUcyob2n>m-Y=(!=h64G%}{ts zXZJGFT3%etK7*~Fa3DyXoJeQpbMlNKaArPxV@|!WE1mF}TG98KDSx@g7rlL|P&YA% z3=ndwNKc#)OLf&kkBzL4Hc{54+cZsztZD>jUiFWLgyB@MLq(e{UqM)B=vSv;>@yAN z3TN%Q$6~ZzlSSbXrjH+k1kVTokaZfB?%k@~f?s3>&RV1>$bVe6!RU}w9(b2o(`3KqnHb&E9X zrR?8BMUiWA|CQs4_!FkQrWE4*NQrVVE&wv$&$L~MhmopfXVM*iTE7=FCUn7rKryum zcm3`6wzT}L&Py4EDEVCcd*2H~pnDThrwIR=Dm&O~ouMZHtpoUtj|e!&mj?7tT<=>sjP-0ykSjyQgP@z)}s zbjPM&OW9bVPOTvFDYwU&F|h4l1b#lYHcI2KS)qCMxs!nMhnkVPpP`*tvGfyp9l%;8 z{=(^fqPBV5r|~vmnEpAga>Or(d_`{K(nLB+k+D?snZUMn9#o!Wloa7bz2wa`EEAPm zFY3l7p7g1;HD5*VYpnZbk1UTO3P;CCn4G5~Fleg~eI~cV(c@946ce&O zTmbx_hNDOPdoZWsVqRZr8eVy?$Zzt~cz1Q?z?8sck7{oY9Iq}zxu!;DAd%PNsxrZd zx=r_292U&?xm&7nMvhYYqUl)d6U2G1nCggGH?`h0Z}rvK-%sg z^(n2l=rq?joei#5@iwmKp#F4oYYI-%pHFEJiOmsw&atmlky_ zXx0v@4ysNN)7nt2h8(*BvgMj)gBg~j`|Tk1Ybi&zY zr?nu41Zu>_2YaWkAaosYXA+=LUR6yjZN>Z7mtLJnc5qc!>dMu;!nrCY_lH z-_foe-O6qlISV-TEb0@96QMnJs3ssH@6U?u#Gt46rLs6Btut_Wy%(xg>Qc-3(Y}=T zYL?>aU~1w4(1P2|?$X0`)nY{u%65zGW{)>1!0kLpO}M@T2%+UUuZ&~$S!P}}LGFgw z_m(2(+mpvhL+Uc-cXLcdysYe@SbL72X}GTfZNideGb>iXFSJZJ?%D?C^un7`yI$SUm?r${&e_aLAo|8u zQ9^^n>}C>C-!`~K35;wj98n*y3QuyjyR87?rF7>vv_zVY^^YyFXs#*4&jnMB{|8fV z9TwFWu7A@=cZig9OE)Mb-7s`_cS%SI0@Bh02nb3HNT*0Q1B!Hm(v39YyXJe&x!&JD z5|@|mJ!|i^p1AMNW7l1_#}YzI6iNSr^f8mn3zw1!W94B%3m;_^z436KT)2OX7JV~w zd$7x~(tDScuZ-Hz##Su%tVhkNAXybtKUFh~h@0R>#uZCkIAeb1F!g8YrQ0RP;G{e? zVP8kAw0-hdAn-ID{`s-#q~NpJIK-qf7{HbKU2w7Ue#bDCzY9oKX;(dy-J$w?6GrLal?U*|d#>r!fi6lz2W#T19 zq+va{>jw9K8Co_Q>vriMW0k9+`ThnUXKZ(68CVTDX-PIoW99rF zwkDf$re3)0S9M_+OfCW)>CqS!CX&?PHC$_*Mr3>QRqr+YnR$2jgA-86|EOqu!Uk7>okClJx6{)?P0;sA!U5*W9vh?r1;12w+AnMJpx(#XU zV9)25O^{Eru(P+SoUdgjNgv)H*+DZ4pLEc<5BKv8>{@|8!;8*RzG+u7$KlW0=x!< zr+N>x9H;MNfRYAOnZ0a1b6sdJTVBDrS%a5AR$}@}0~5Db9srDncS(WM6SudoblX?7 zhVt+ThU53SvAr1uu|Ttu2VR$wg5zD_Zw-`HwL0de3J_SHCgUYfdzTc;;roy+PS#ZD zUnRSL2j^QA<%*qAyEQXxt47W$yWDWs9p|@e02fm*_3?w>ah%gTb)JqNe8M@h;QQzj z=wEsMO*J^KXs{`;OlTg`#jx=U#z+$K|5YMYAJn~z{XR|A2QKxxgI_1U)6!2%CCBOS z>T{~iT*ZHmxZ4E_@rYh6C}lY52l&TQhBr8`)ox=#gFtUPi7;$b+pe*;bk#!CzV-A^>=7Uo>;!tI^+S)>5(owXFlnPwnE4W|TvP|FBV5wNaecrx zX-j(UJZp|@d46!t8}Yje2|Ao(Vx8<`o|@FpzrAQE_Bd*@R;)&;aC_-h;KLdv6$%gH z7+)dk?D`PEB)om+kTpG$7JeHp5zyEr=&dOUmlLV-LgJ;_u5`~$;uMf_-oRFyTHr`S z+pnUV66B+qIMnv(Zh}<1w^F#e{LYnY>MyA2t@my+EbY9kFy>xs$W7vAdw*c=;%txp zJC3!W3n46$FKPXjot~aP*X%(Dv}mz(08W7*>LkKUnyV+d;$YdV#&`GR*(^-md#Khz zat@ZfR@r4fVK_)kQz46}!wpAEJD&uWy+Wa%nG9d6>v*O27C-#jl`x-a*S{+ z$eMs4-&Bcxpd@~>s_6;eS&KYw@?e7b@1aiZ*0Ydj=gXf*jBd1(Tx!auQOqlM=OU-; zIP5C{tpTWJ5K?VLL8>=gqb)aEd8c2GLkX^y1L%$bQl|sZbkLA+@$lBcZ=Zp7XKjx_ zwVPxORYFjsi^xr#_@J?f6yy2pHp2T(%T4Wx2XXzqLsop8Er zsTS^JJ*#e_Pr_69;85XzhMpVQ1?s0sct#Gy{lpxmX>Z%Yq0OJv&0fT)5>xm^aW|d2 zius5k+C2@%T`od2CR#fmei-Wl8(o>x1~9fu0$vc;=zpjHVD6d>`e)>j|E99K4SN;H zlM$#P1n#EN;x7lHu?btNa-le`9I!S&93Zanxwhz}NBIK(T$>j`=EHH~YbwJJ6Z2l8IeXu!NTIA% zPfoYs7}eDATKdl)vUPEy?Ug>Pz#>CVex%(%aTpan*L{chaoHyio!jri}e-)!5B z22;*5wTP$*bS^RJUhU_!Tr9w@Cru{$23Nu~#?e^2_C{p@#o_nOc45Fu=l$8}Hq9Vq zFG87)6kf~*uo{N*+fBKoCL2a$BruX(-b$z;Il2-<6c;w+rq<^Kdht@S97w$h6)LY{ znfSMpyHbMCpD`5t^o~rtfjETctk^BPbw`R!fS#6bGdf?tQNK;H&DOn4hCuRIi=!-e zwx?4zOEDH%+(&HiZt!j_kN^`TlzNrd z4s;)~ju#ShrlQ&Pp41*9JM-|;Ue|WueZOBy9W&2D}yb!`nF`3z0n6e zr%LlqKv+&sZ1BM@pKv_e?-H(_a*pdIKDMvG$SG##Jz?CskJ#a)l@r^u@d#QrtdE9E>n??f%Z z!4L?aR`*|x&<5K%jeR(1A_Ll@tQN7+#BT3B}@>9Wv`;_;^v>J%L zBzf4ku`Is(b$ExY^TQ32VvBafnPj@I^{|UAGk7Ohuo2(B+*-r-yxN^iX z%1wz%Q+J<|Xak8muN90x>~?F`(#OFpq7srd-4v;Fj;ta{J9xMHFYMFRFgVozhi=n$ z&fEpFcW`s=DSBY1jL|oD-L_z>Kvw7Vnkg&m2tJd9FD*rn4s2de*AIH}7kD=jh0tPU z<U&@D{0uL)yWx|K*ac_2A>xPv%MX=M%VOJwE>2}Ga{@9?P_>ow$A83~p7 zmgKvW-!{N2Zp`^E$XmWHhsBb2%m|jP3F?%DLe-HxKjMx^;Ho@Gwr z`Obf7AD677fqpoz0OvCteGpAC4e$)v+p`ICMx(yw}zi3$)V-55(x8x`P(V z-?p%|>MZUl`OZQrm>RfdKj&f@S?{>wuW{Ebhr2zY%JMy&j=rk39mDn&8kaYo<^>q=aZb$d_n$03Sv#@UTd4c7DN-?GcB#Uz`P1PUC@LZ^Ho>#w?luY_} zJB=*A;RL#Wm0d*35GbJ|40x zPGJq)3`Bb+X@@|1iSd%*GtLlb4aeJe4f#^~Au`LZE+w=(f+SJA?m(at^7wneEWdd( z%3tC|wt73SdVPk;6VpXmtlU{|Tda&;Lv19wK7Bco>gDQAz_9cCE(7aT>6?19`o|am z+$1V2+AnlJw?-=YP!CGYv*wlT(sivKZ{={Lw*2AfY9R))RKXOKn(LbIW?6C zX=Y@YAnXLyb)li$w$P>%GF3V4D~P8qvQC1Igv-Moz^O=z?$~CZ=)!Xp9N-&BRg$i} zeSDetv^_e&mmjfgAft^1Nj~}c_=Wop)hZ;edKdVIK_1kn@8ok-uAU9u3TALB_mP>x zJ>faPLfH~*&P#U6O%ZFB2Q|R93McW|innFElX{)p&(x>MFC@}KH~hLddpFZkbOiq- z_n$;rT>Uz{(@qlbOe)MCSZm3U=i=XDdcLUs&v#1P^lWF16qIZrD{|$w+bL`n5!uAO zIG7r1p8pyyP#m}*C)@Z)##9|U?l{Hm+|fsumSrX$TaM@h^a(lSXhPT2Fx!GyNJ1`- zRzcXU6T*<9@o6sci3md4QdYOY&*^X+OM(BpDYLM~VHhWN;7fT4zSLJ;)7it_{GMA# z=kKdwHHQ6@Kx+4(_1>eUI=?xyf0U~nc~aG_D~X-odt}sozCP(_e}aO#cOSCq6ATS? z*LXS@!|;~uvt!+9(x|Y6k--o&?I2CzXTpuifCHvrSTgRg3%Z&A#dqr`Ir9$qb^%L` zMh^JhVm@zCNJkGo&ZJK%Q&VO4q!u~-DR{eqrud950+|N%1Dj*{Wt0h}lMntJ)j}K< zhCogK$*{cDU($T|Mt56^Z{P0KCnEbjIjI!k@3`Dvv(wlSv%1Gs=E6qQ13 zg4#IIz9t1K`gjnW8Pqfd1E=e38ZWU6(RdP2W*Uw2W7`+y3|EQ6LF)p|#ZR6T#%*In zOdl8N6D{X2sZ-gFVAAOCKinM;0*leViJSF~+r7%ujG7R1o-CI)4o%{uK3a>eZ$^Yg ze4|emvtn@IR&uc!iyIqb-T}%eI?(Q9DW0`-tL&`~PDGXKo571NR=HWR=4Ad&`)~Y( z1U6$TI=|P>hu%^sp)}2J#*4j~KgL@t&%!Rm?{spLniZ;_AO9zakp7D6s@pC0-beh5N1(=Jl}y}6sx(li_dyE}C4KP}h#7pE1(6BJ zXoHV3%X*^hYoof;b<2&Wi$yz`QxqfIkF>sZ~X@>L!k=+`+zA(5RbC9m@sW<)_?_>qfdj^2stgX^l2{i?M zTkw~ZP`os}N2324$R#iDExT*C3+)?Aj_DG~4z@mnlAEFpuh@h@)1VOgO&CpHq>i?7 z9jJA>E6d9kKDYE%W{?eYY2@3<0KMA*6s&~EF2X+}fg7#J)j^V{OGwqPmtR)bHqCd_ z*Z)fwOW~EEL>tM&%n04m5-gIP7)c|il$&Io5cB!GV28<++7fSo$#S~aC5UL_SaJ>c z)w@<-iMKK?AIj{9a0~#CJJpkWCFUu@E_zkmV)`yY2Z&$n)PYJ<|*~t(CF%I->_O(%5sZ5)999^4dD zy+)~TA~*;^UfJdjHtibC3LrgcBh+NGM8T%rq0qE_Rhj+9Vk#%ciyhuILQAo&c9i(( zXYrYSyja4gc5Xer7n|oNQg6m+X8|BZF8CIp>fdCFJ#hkB=GnvS*6(z{He;2GQ_$m@ z4dHF6l@dHoeFUVC4sdB=D?Z3=O0P~GD)I89*M==I<{e8u4~%5$4T&)`Lg_~cWJ77I zelTPJw5LR6()K)4{1udDq? zdPhP{YMGqim6Xg(3RH>)Pp%z*VAD!Mr`c$;L_O~A=gH5D-(Cf+pb`F-OkmC3{UIhw zUQdX90}> zx?M{a=pnSjA}?oGE=>qQ6GO@&dkp68k(q zzb3B1H$=wLl&u_O-ugplw0IE96$d#c8s@kvwVgRDW}4^tF*o;CE*2m5M^Nb{pA=gM z?XYr1UX8N=Z0F?FNAzZ@y7|rbC?Ym_#d{|$VyH=DEsq?YCo8E$t#Vt(GiuKiwhABf zDbzh`vFnt4(#%EQ^Eg@|O`!Crf4`cvJcKw`=h1dnZ}*@^JG(z zVBKOhfJoRE%_lPbKmmJu0Mk-#a4b{(f6KJ=UE=uk^{=xaev*x^DS?ozVl{ppyqEE1 z>qC}kvA3*Vfu2-fSs9ePnHpm5tE=u)35}n8)o`leiW8`0d_UIaicoAM5bLRSvAhD#rKe>Em zH_}GJq)K=)PH;6{lfliCj&)UpxO*V!Rp-7v%KL*gFKPdi>y1L}ngS$&)o-9nNjd6^ zUhs^UCQoex#IBSi-ffp#?b}!=RZ^nA9&m-xq{J32rIQ6c=tv8=hn+1knNHtFA~sd9 zNQxMrzGuz9R9X(FxOY(R%|@AC5k_k;cJhZ5BcVw z{#_778V*exYeC!Q023r!s{GEk%&ezYV3Ksw^5w_#i$ljvLMVf!8x?>dm%G9L&Kluy!KztY~?a(K|leFDr$nAwa9s&~L%x z|AL=Pb=`866d%tJdH6)W!*Ye(=EWe@b07oV8G%}noV9|H33Y5QGGX^b+S%=9a>G@e zu>gW&6g@A+Myg*Z#-&BR{pW)tZV3kKG#^#AoS7DrFUjgg zBF6(Co_uAjjof?^4U`d!&WXgyp-v&f>C^I_qAwYfRN!rHGm$$9l&`#c%Vn$# z%UNOU+S?s7b_4vJ6ooIrT7Bt|GndO}XrWpAI!!PZRnUxg}C)9zKJ9?sStwMY6Pk7_8kiT^@Mlb0Y(fS8s#+ zm-^8dq2*|+?1a529eC4qX%9b{Qk0GMpFc)YN=f+YHsa=@SWBD4`S>ufXC0UN*sE{3 ze6*d}lM`c$=8Bv??|Sp_oek-i??S_bmeDGe?<=iG?}~WVUOIa}7`z55GPHsCk#VH( z@<*#%BYI3&$$8JdG3P4p{o2)XN!~QWZXP5fF)XKAZPbUg_yi+$jpfnsXJN&l4&FfG z@Tm*?ZcG+D*LQ(I+@?l6!l|>ShY_dcO$@g{@;VF2Rj$Uz+oZG+Tu`KvEg&&FUd3dDFIK>8bG!H20^& z|8V5QpZ@ky>(@aKj+;C1VsVJJ-s?J%U)N1Wc3H~FyIvT(hhpj< zWd5?|{uA7reGw|gFZd=ZR5#Gi5*xHOtL^T~#FKT+>Wdho%Th4Yn5y=o{yI-FN2vVkr?>U z!G*w!sU4^{tJo}gyXRHMAAjF#nhlCN)SdMPIhlpU8R-QDJY z-Yom3tZ?+TdmD3tW+BerE}q18GNu1ZPE`DhO3H$_n+PcYIJDj}>wP41;T#lPXX;vr z3mpa~5JJ!tsXs@zr_=gWeyi4rv~7Cm1*8l*x^E1SflPa+EKYQ=`0cFQ*B?jDc-9k~ zCFp|zjTqmjMgz_>nKE$w+klqZonGxSA7Mq^$(8X;mjgR9rPmkME zi8=h>vb}6UNK`p_3}b-N_m9F>p26{eeruwguEjfxnW#bE?jb@??MU^c=9=BnrjjceB&lS*(l)M>PjY|HpHzih6I31^S44e;mHW z*FTsAQ2CF;DYS%ojjXenpKfoZLv9KJ554;JG8?K-t*l?IKfyq9b!^)^-f-&&D|{@nX1nP z%ySeXTlrPIu2bky4QKigM_drWkNO8qYSYZn>CEOfB}Uq`5w7%jc$L^l{7L>e){9ZelwBj<^4z2fUx6qP%e> za#N;X{m?MpGV~@*EqWfYkMB61^==YxGu7)H6Qw1WJy~+YsGvb-t0dL@v0q!n&YIO1 zmMpgKwu~r?VUOcUSEKG0*TaXEOB<^~GICtX>NqIkhvSgK1JlkYzkVFiufytk>>wfl ziaY9L6zoMU(rg!DojPl;z9rmkZKc5!XGU}CH!hUGf9sPtE|RqEFzIggEFKrM-w71} zM{jJgt)RI%E+3T)y9Ef!wdx=zrfEnd0%BUi3e#S$qLBq-kA(+g8MQ=-jTIug4~f^W zlpY0|0b%^-+&IJ(q=j1y6?2*wX#ou z-Jt|g_k3P1&^80i^IAu!mQFGW0~G9AjTi7$*wnjV zFgPi;EGLC2256g2n@bjN9z&Na8IP4gypIEkEPr&LHCA@6EXk46W3L|t@IXAJ}F?}h*p^8Szr zpb%JBhs+)MaY?{{EQ!~_Xb7u^LUZ-AvSut)Fe_}~WYi&;FK2hVhos6F3x*6zl2$gs zG;NDfIboa(OsQg+yI+sq3E%Ie%2DS3q&OIqee~?^=2h-_z&CPG=wPG`swP0BCpj}v z$y9{e7U2O4WsVP3Fjjk>DufqO({|{E1t-grH}1uPN1Yycb*OHYIf<}xF44@mTSLZ- z`1^moC*AMz>LlJm9n_TFl#HIFH5jv*nliXcISU-b zkhfeb%h>`jrwvQ&?u8J>5U!RV30NJ3m0~W zAl&Zv)z918pDcM$2-tcu^+2kIJ$2eJWuQ1k@j%Om1WT0mZN{u+*?Fm2LPs+$4PF+Y z;ZO6mC!;iJst-|et1ny#;v{fEMrYG^2Q5IRDXNb_=BX-?e)UTMmZTKES+KoaipOHv(;b=U`X2+d+nF~gq#z$1zquQd;92AxyvA=2{yoR! z-iCV)p&8HA!Bb-BB2n~gVmE4_!13i7rw!PAqNxCiY3#o;65LC^fr)U%2+>8fBvE{U z7}_NK^~h0_H$NY^rL_z%6$hFJPe#EyZ#{fUA{$hB27rmJ=jg4=J;>sHW#RFnrHyaajoj}Z`v&G zk=AM3WX@uoknawU$a?p;5}d)~J_Y5px@<92;mn4N@^AXW-CHkPj+*FagfWo}?N%;# zvC71BX*-+5!jIH4bU@bqE!62z+K?8VFC!?R#iKA_kxg_;My_@WHduNxVB>;#NXXB< z%Iy*)F?8GR?mhbxM=zMl)?OC`lD!rej|kN92@AU&tcq_cFz>XrlFf|zdn-U}AtlBJ zI1{bF7TlII7Es75@b$4QEwEvMZt1!|mS?+sr8k356!;246mv0Jo;go$I^|z?+I55K zKGiL1tUrr$)5t0TXcVdI#!i;hzCa7xNKK{3819zc$lYB`_vD)aPm8*}{Qzv8OQCrX z0rgN7LD(cxh6%p=?W@s6@cq0o3tW66T?)cUXWP_X))@vlc6k{NTgz^nrV&@;Pn+KBFdd7d8H z-*86z|6k6g-XGK9AGKqnF}p2w&Qv$w$u%<;J7Hv3(q5FO?=f<$G#HBPvrmGVfCXVs z?{to}2!2#h?)*}NY~qw81S@4wQ+{%psE=MzS~eio&jv=|=^u;N^1XB5P5Sqq(cD9q zcmge4_&qsLyE$#QA)jmwmt9*oQoE-fV~udpCFt7e!AE;y1iqnGf_+kG z|=-xoSJt&(v9 zZwkm!%(1xfr0*|FTaW8+p@yu6fWnfMtd5fX&02*V-M10F*2(P=kaG`i!Nq~}^!oDe zGse=L?D$ zsimnP;H_rt57K$nSi)VP-*?2h?iB}yZ$Ris|91?BkFlqss6~)s8V4@ie-A{V5C@L9 zF))cjAE!=+@)wiw5_(Ks5o{1Y*-szI9Uo8(@whAUfV0^4u3&O3PNT5wg}Cqx`?V7@(!@0q{Y@j1Lja2xX^$%IQ8DNsj& z37L{|Th+F45Qf#}X$?`xOmWJ!DHJMsQkIUImP~J`Jm+o{J;Axrw68gMJ45K(+a+>* z#|R81fG3qdm13tXA4)G0+p`k0OB07O<}9B*UyDpBr!xJ0S$N8j7t!BiLHK{V=@-<) z0A36i`tBp>>4}LPJG&@az)W;M3U=`9-}vww8=0*BmNk*o*AT#!JQ+I;TJ+3gIq4D@ zEPC83qSlUn_4vu`hj#AwS6D{BtIGBLP!nZ34QFXZ`1)rVLajNF;pUc0o0-K>R#J-I z{u`8eW>l7Kr|2>(YmUs9Hj{V}WXbNU9zUBWt>& z^9k^N0HHXaC~fSjO(-(33IoMthQz!WslQEkL$L#~H?npEz~ipgJ;CvBLbIe~`JaI^RaV%Tj%#MY`<@_9|m9teD+j{}b; z7!@qqBhGQNK+l#3E>R}M13O(73>t(9#|&Rpx@4nRXc7(Z=4+kSwiomtKL|RbGvS2n z+bMTB?eCus_$+?^v7<0_jA1ha8F3Vi00smwE*DXw;XU0ckVX<%E|xs&nqn2*S>MlA()+p1|w(6u7SPAP)&SH{X_JEeHXy zrQ&XQc_kM(_Q2qTw|%65mjNcFI0V1@S+@1+8PbPO&pJ4A8xhB3@Gh@K>yc{g;OT;Z zM10#NSR{ZCcr#HUX0u5pS^qj^KX)^IW<*)Bgg_AkCyOOO@Yd6pw2&IdiMsWu*$X2-_4^J7&Upp z>yJB=8Un1tk2IekP!u6&YCl}M(7|k$Y2UeE;W}Fy{~WVgV%5)Js*g?nlkY7V_13o1 zJ4fBw)F3?v}w z`pPMhWA_4_>pYpi4xaaj@hlFZt?FD4$>Vllx-M)!jMehnByYB(M+Td6v-v)=&LK;S zd!(q48KgRbK=q z@b17Z+nN(nN20VZu&nQP&YY6jZU^u;4I?rtFQ;&SqMKUc2HqG_B0|f0VIkO`hLISQ z_s#|bEBntnM&=JQd`z3<RJz&uQjPhKrUzhC=+RJo0zl(w5cS1fehZVRDv+Uvj84QJlm~2Bw0% z4Jfjm>~ta{=BbNby=Q?2JD;m)R{la{p``LZV`NJ=&TFZPu~L|cB9Q=YUtfSwwL&Au z(?XW^rU*^zph&aR7hXKyC_!94n5&DPVXxJfy`{SN$X*;Y$Cq|7SCgEOZ|E zKeLehf2^c$Yvaor^!dr@;rsdD>_Qkyxhpn4=}e3kg=8=M__5YM!{bu9ePo7tl2e8Q z=BJtLI%SZevyr{q#ws<|++=Q*{*$=sl~|AekL0Pce`^i0zCeoFwx+!u5^j{o#TYF` z+$lO+sv*@AaamI^_>c(9tx^yyF9ub6hSJ}eC=M0A#mbEbBFElM@18lF)EmAh(9MHO z0S2cMHV|2bY<521`1kk11>hMVuZ)@HkX7Ckv%a6U>m(xu&+3TlY&LI^6U&bZd}ML! z-JVK@FcHo@OBo~uX7d_1d?ZS4(VtWzKIi!8roghvmW$lW`}7ectqO~tSl8Qq=`E z@!qoeRjVyBsIq;~eA&e*Lr6)Cz%oTTnkw+aWJJa~L^|(hN%GI#v1Cy#ap3D{?d1cSJ~?$N*;G%w)tIFg>X#jIFAMv~U#$FVGU9u~VbB}>P5FP$)- zyCrtoi9P$Y1aM`)gO-V_MZb{%WaX+7>A#1mzd}CQ^k6As3bY^u14zxT`g2RCN9XH4 z3B0(KW+8$_41l2m`O|?_+g}ww1XZpP*bMX-!A(W8K&1{g!1=>lLEg}>YgJbWro7ZW1;vk2 z;)9_dSSWer)e%_#r8j_5l1THEiCmN>kmn(kGD2YOiv?^5S}EYY^^O{toUC7EfRZ;a zFS(rYbk$TG`qrOdZ9kISYAZ{wrjM&{yc^$5R7+D~v8E_F5h^rUUTBNySxe)xCl91N z@mN>^t{S?&E<;?4n?j1yxPLx8d#Fd~cMSUc*jgO#e6n*LExq~i^aY^Um`22ee@4X) zzYd?Z0xnxT)iZlyWAp*bTo%FQ7b??MTVhW>8P4D}oYW_EQD)PJfAWJ0;m>slN1G>2 z>4?jM4&mHL!52G3j+IPh7+~GJ0+kZDmX=5YPqA<-+!=D_AB^K=$(|?ZV{QM| zGX~dKa~lq>u@gV}`SZ8y=~y9KN1=gJ==p)8E+Tq%DYD?vW#8fzs_UR#SZ-gtv(pae z!a}NV;;h=sJ@f4$qg<^|?5dg;sjkiOl740}xqjZ3qH>Nt;=~+4Juxnksb^&mKR`a{ z#dA=3uP|UqX}|LKQiZ*o+u)?P5<1-VkzZ&g=tT4QE0V=SVV0-2_?y+gr)WHL3-L2C zdz><5NToftbY(0FV?nZ3InOJkeX^;HjChp8nT#v(+pIF~Dt3Rf?~p5CNq!=TD@H3+ zm1oipteUX<+Cwhp@r%Jm;X*A3HaRY_(|E?>J5^zxo5;6MCF9}#MT5*!Al~htW<_Dy zSuKg_wQ-17Ac?TXPnWyypc&hjN%)l1+5C*|Qsa_&04+kJ*`4TVy{y z!u-qAVr#Wh>NM3*Q4nbqO7|JXz1o`@HGPCR4rTA&z2m0G&#~ehOrATLE<74!yt}Qe z=!%4Baf}`G{?r@y)WHLn@^VCxkkVEgK#o8Mwqh5-Ssn=f_UD(1CSLgT-rs8_sLK*a zk!OXZa>D*>d$@t2)61wn5&iTmhMU${=)nZ<$U6K3OpeG=CO8xUEF#G6xy0tcLwi?t zeXbJs*0urG4X^DD;-&5QK!PXQ5VhE@%cI#vfCg|$g1 zfzW@F6|`4~{tP2R4bnGhOpRo(E{tJ1BOBh*^4)vGAmj5?M#1fMew(Q$SeaJQ(J>3srCe-sQ>urx@dbm%@40bWudu$ulMjD#< z7upw4gTyI5bRMI=vc@82=EnINbIid_(DX}V;|jj9X${$VUa(HZnjp)<{*&Ws8jnQW zLG@ZCWlOD7{gcqq+7vhqIJIz~%O!g(AYi5yu~4o9wO;+Cj>@>l?nco1+!j-2fXoV4 zee`UA5@F|9)7sbZ0`fBaP@h|9A z&X?O_!P#K)ztM9*>V#mnD47n=FFw!K;*}&C1ce+}Mb!Hn_W|#%11fr-utfJ0y%k7R zdMc=x#5r}!&vf&-jIw3wS&|y^*Ht)>c6d5M_ZQkNXuDlB+_;?)pJHv}cTD{$E03e0 zv_}flPpQhl6;m@ez7JQeFd91UA*(S;h^VE!q?3-@ZHX*=*m_iO-AljnYWSt=>VmO$ zxBu@qYL!rX%D^p6R&wg|u|ka(0`WEEeE-w<1apUaH9E)d`P3{q$}G2a6)VHqWBE8O z2AQ$okT(^NweZ<$D$_+J+;^LH+BZ?Pk1{X`j{1l4=5Wta9Zn|~mI%M2h> zxvs$^SVO$I_?Mc+I@Y9MR~-hx4fXg z`Sh(7smv*#vt*8wS%|G*dg8N zwxmV^PpHzl|1L-ZCV;hU74tw_Yl+f^CP5p`;9;Bj{@cF=fQHYgAuZ)Dz&`)^@bt*b zLp0b;dsbRpFoWdY_PP3^CQ*!4;^LfntJ@!iZs%b4Y{=1DKa#r6$mt)R9K$)dP(4B5 zxh9ImD8osT@-w4BqVLaHO;d3(Y#)dvVNFLLtTwX|ibH_E0V|SNpIOFJ#Ty)a|3Tv> zgQ%})s1;O(>G(@Y0S7Z_%N6#%vOk2+MAsLs|9-@a|H8TWnf31u!hvw^{r&ILLUZQe&1L!^v*XrAajbB8mB}$kP_Z^fTNANiikgt%DLif zlXhtL@ozm9cr6|gU>?L_x}gSF7E^KFRm&@_ZywT#kNH1H2Auryg{={#4P@T46_g=) zq)YG|TpjyVW5EPks$PNDk`dbvlJO#L7O|Dj4mkF=C%_zfjxo?oQ4!}cv2k=Kg&qqR zdYH0HwRu=}UybJ66Wy^??dC8KQ!Q5;;lj`F=@VWk3Ron#fJ@zgVp1<`-YS;7WziQz zgSip6BNt8ks>{nwCOYaMAoIxwyFQS6O8!OpvD$Rp!Au2oEzMr4+7)J-b~<=%<9Uf+yZ4~!UR^2GH?7=M zDHR=_bxf8a1vig735In_kK>sOP6tgcttqHRQG^|jS!HkPzG+TE@=P{~_hwz25#Q6+ zH3L5F@9Rz-_NpX2V$G;vh+AJ8N7&hQ<@LeU)%wJsCXXruHwfmo`a~V{(Y9M$m)&H* zKT1wLrMI0kby5EwZNT%vi91E1+qimyDXiSsO>dTqqPdTPvV|GT3hqW3Y?{BS@5w&9 zpQ*JSu->7Y*HZ14JZc_iIp&E;BrP z1CQ}cv#$yqQB2q%yVy5DY54{92mT^~B_1N+7wx>Pf4)(_`WoK~?vI(EfIPy_`Lo+^ zHG-&m|0F4Ie5}2^_uqqcT%^7gqa8d5>}PZ>>$soWv^ORi+D_big<_WA5iy|s0ydoQ z%d`!VF-A6&RV+@+hY*H+_Wf&b4A3mAlJ5voq`)rie}rp)|M_i1t?0vU?8K(lzoi1RQd#A?(YK$5r$7_jbasO#3+BNT=^24G z2WB^b7H950MSx&){$z#3vJrbxBengr^k;(AfYHb(ml|nvm{ET~;;9>t5y1z>Vq}VC z4Q-}Dr@_{U7K5IQLO3@Tk|1U_%N#FiBggpQ>-+G)0N#Ny<&?&Z%0LE47F9a2HNfXL47UtW zW?;(c<^{8(4K*jx|r|nG0Tu^&?5NQDv}I!O1SGdrYO%g)G4ZZ>z^fCT5`p-)9rOD ziAFpz|5p1^22iC&yWp0|%zB_9XQ)#z{Nr&H7ynMKn9qX}v<4IXxCI*I>0U8L0p-Q` zBvAR4KkaxxW<*o_rt>)7`9piuvAuXO^@OvGV7a#t`8yULADqByH&%%7bP&BN3J3$* ztYk?kWy2`+#J)%k0cS!)kv$yQgqumZi`gLnxRe`0 zX*&In!|q!Hi2vruNz~hnm11y`e&C7%GCqs}YbAE$Bb^o}2DfajoCt6vgRNyLfgr)? zqo}ZHV9xWrt~I8{$1xYqkfQL948X+uWqaaHrBB-;3T56e)z7qfYL@3!*wwO?=+XqM zx=Nj1Z>sZ`gQNLkZa-vbmh3`gFAi21`>ExXYJM8T&}8GQ_aV!m;nKL|-Tw*HBT^Rt zS$x>`F;7-wzqlxQug%27eLE9&%RvX68J+z-Q#&q$SHHL>(|*LrgP))ph*AmHmmo$} z+xYLeufrsYE=F)>)-C=W$x<4@GH~4RQhztL))!Qg2KqRJc6Ts7Ic{5wt*4VxHIIKO#xO zAzGOVm%Cr)zr|lJve;|HayR5Zzq84bC3a|gw?JczHzjZ2f^_I|&wP#hk#hVg(PnCo ziw*d?Zye=0ilT$#deLHs41S>8lANr0+Te-xO1htEpS*IePi5~?Md`+|Eh2r2{hfL# zBJ!I1rS`ALN7Je2Zl#WUoAgx2_xC3xyT`VL_%6+V;19uj@qQRJC}0S8Kb=_ykVPN;3{S=4cCk zm{kZz9MHH7d`f$ysMFexG*)rHSXWJZAtMs@?<|hlV|NUqiwq_OA%@nRAjU6&5h1b+ zsV@KsA1-k$*|AA;+=WhI`h}k)&(D3NBbjddhU5Qh?W^Ldin?z%QWBC%Hz**jbPFgT zAgMG6s7ND-NJt|}3j%_)bfX-kyCkJiy1SGH;m-4Y|NC}d?)_a~ZCYXD302$5eaOkZzSpe*Ru@4#y$E!qLs*)}>Ul zL^UkOFn8h1DGMz>jBNOC-}ev$eK=?eO`DsblW%NpNxWMM)cmJW5>*A-A(Zb$O22+$ z;0h?X2Tf-k*#aGPN-uqQPV*t)mcwIkgGfX52dVU~Ho%z=5Qd_@^^?PuiPkK#0&3*n zr@gAl6Kl3yikl^-j~@sM38jJc(e&xmA-|wt0OR>i&~sbc7I<0rG|AM}ki_OQCY+h< z)t4&0VA$z=J>%M5QOt=?NNH==m=c~GV5K)Kw0eo1&QivgeJ}wP6YVloJId2f{u;xE z_9wRsm0#XFm497I;(G9LZBzj+XLvO35Tez`}8g$@Kq8k-&f2Ji;__pH!giN{kNuj z^l#gn7d6*%30czdVrdt&&Z*Xob-rCZq;anFRl8jOmNzJ4;LEITDmqaGLx)m!XtVfyh)pA_h|`-I4j*M=XbY1pUR_Owg31Zw=aHz zf|-W%TJrNR;PF#g(Wu^2zZeYYD%V^!!Zd<9>iG~OL~4u#G$eNVj;q49!X{Hh}-x@vbSK{TvohGIq`P3b9twG!TIVp zgAzI}f+(h$x!b?vJd?Ci?Ta%;aua;}9m(X$1qj31mn9wEU6NOfW;BK-2Pkalz@uOp z!pNYzKXH(6ne`Xix;OY@;v$HH=R7U+bWd@efDRZDS7?Q2j&|o?FMLpp6_PDIy$xrO z-(~A4%vGwKhw5iH+xOZ2${3)z+9PZ3OB=)8Q>evpPe{tw^!0BVN!J~=QBh=UY^%ML zeAjPYr2Mor^BXCzvR(;Bk_uT#=3td?&>1h*n?HWz!go?aBc~tk!8VF#_(q~tb9YLg zrfP|@FDLV``rs8hhQzj%2=%49=hv_k%j*~{?T!32P12PZ-)4&L?tTBx3bys-bnfK>G8LOOWJZuMQ8`6mwRk&*#&m1u&ZI|VBils zFlIKom=i^7L`u){p(jbl2iD&4$;nBAaO3axNq-M!n}gzbWaB4O(gXwtCFBOx;DBb7 zkNQ35TH;x~+1R}hDZ2_P#=2EP&w0yY$FR?d59X5CgIGPd`_?)Owz z7K+)(d-rYPX2eFSybje`VhxjQ|6XFW*QO0+HA+kQm~P?1VY~NBLe)W?ueUrFRbMpNe`EgW)2&e7LVkzPR=SRk&N4>c0?i(c_liep=x4+lMyZjXnO}qouD5aA9GqG+=MlIU7e0dcRFZlf zU0itFv51^ow-13=)_pvmso!0EUkq(yYW*=n*!2u2Pb%9%_r3K`=8J9F`3FP^xHKY} zHm#9u&LsWcET8?xVLhpA?A8fQt2Iup9wAdR@bu9#I(wek`)ZTMBzbb;Ofz5JYISft zLOvzyyv}6vLuB3?4B^bW3wjQ*8gCD_M0?M{irIhrrW{>LY)v)0UV8h3*oAIOVTb-7 zl(1MoTqgCOBz2yv8mWOV0v{ppo$UZOi^*geAzr4DkumhE{K=N(dq-(st7rrii!Q6evS9#i2hL`Abe$jjM|o4jbGyIdfKAG;OQ{xRDL?u-jJdh~kCVz$NP zNNo4!Er&R~J`Yiqoi--*v?+u{IF%qYG_+*#k+Uqr7oAD@<1Dw!-Z?Xd)|WavevopXJ%GbZ=<4cb8@YwCO=7u z>x-B`0;Ju(&!t2<1JEo#N(FyH<1tf)@1+)Yf)y zTGhcvO#`@oN%ZmAGMJPA}P^bK8E)Xg?>7Ww2fXtwnD|a>=)t%YAAd zJ+zv*yjD`%WurB-k4N`-nT^-4AmsA3{Jaa;XQxee6VcK>{$bQOCt^0WC3~EwFZ2!8 z>PHEw8N4F;h`r*fY}VdnU$@!C2)6#N_Vnp>)iS|pOxcISUp5zLJ4ZhS5ntor?6(Wj zQ`=x`D~TTJea6XKWE!4dD>g+t?_Z%U68Yvk;h%&cehS(~R4o>(=@!1OhqF>l1 z)@%UowOeP~?`<^fm`G?bNd2qL9EsUcXX<%Vd1n)hD6fyP)(%&!@Bca>3kgfsBfyuE zI%7y-1Ga(&SqS5Q$`N-A-Y<@W?5-@ zX(|1U$EN=sXJ_ZYm-5GifpwT%Vt@VLy-TL#@oG^6x7UD|uU@_KcLU#mfU=;VcJh33 zQc_Z>WVoE8<6}I33vF#}+V1>`&9NUp@RGz`+~-_aSymxppXk`l5;C(d7%Z?CieI4m7S8_tedT^t$JUd;2{lT zV^q;M)ZEux*jQLtCQ(Osz9Kto`Nb^4!W7vLlA0R*aX-Yx1#xO;r9vyT3a3SUVTY;E z@$WXemPxlQ!+$4BDkvyCd7T^r9|E>|A^P8*F<-xqotv9W)BZ&@N&MPv%U(|$6kIXO z8%Yt2UpMIw@!CG|2yo;S4cT^Tz{fJ=@!!0 zDrf;;xYzN^GQ35hVTqJJz(r~$7!X8s?3IMMToaO&UbVX4h1Z=$#hK8$uw zPL2=U7R)3G9bIUtMSIi4M9q&yVk&;*aC>@`b30c%duC?l=Ylip5xaVFOLzQjm(El0 z#$>&9>#OpzvbuUZjK_zlC_j(Gtvf6qQdQ!3FB1^RD=1*8s;VaF@M3_qZ8JF9?0Zdq z60j&SZ^f@QX|{<%a5$dKgfmD52NF=GmzC*ky5;HwJ1_UnPEFm1J1 z`I#2BRPC}(A$_vK+Og;)Dk?eymeYglk~KG!-(%oYvjxie^3@&5U4FpA%GzISDl=PA zT+H{Dm@$02?v&`_Y*|KAPw$;W-7!wSZt=*vWG5{VhIOex+3G_@lp@sK3hAcuYs3NV0Jb; zG6Pmh5K2GM7nA+v3+n}mH1pG^Pdj>haWrUC1;3At=_zGuAq`;Bl}eGw(UT-WX%(PGL=p&;-K*ImX*OrkSdkU&DM`}cz*iHL|s64cqq%o=W-6 zi|bDChlhs|pVkn{FLvYQ?s1JaQ91&$%>GwNNFYZbNq@k}iNMOz(lV*<#qpn~%oVG@ zQCzRKCf>s{>a(3OTw0{2n0#7@y>KPcUJv=b={)b&@M1-usQu22*HZ~3{`+6Fg&<@Vdfsb-A zFmaeTIC7L1cM{kh5^Ch!m2mr$;fT4nw>M-Xo4m$%nyC_(UQnRAc?9dG#9>-`W4fMk zFk8KyJ;n19E9*hHEU?3g_w#N8eOmcGg-rmczqxlFu;K>FmiWXZ_wOkpr zpBtZATH=CDcgK@k3yX`Z$GkbrkPOHN7(I9HM0d>!Dd$n8YJ@z5SiY_jdpTl1DLzd+ zskESg&>xq$4cPbW#zts*I?EZfuzdIay)T3%%te|82fz3E*|U6a8>Z+Vj{iEL;>}4}NpDzvy$k?Sf)PcrvQ{e+Xpr&ek5hND6fNWl#QK6ioK8%u_}0hz z5d{{~M+JJmFrNAJ#Q6A4IhtS4pZzf|4w51nn1;*uB};u?lq$o4x{UU^-}}%|1%RV~ zc`5h3hL!#=U{3My;locd-qJ)2k~xEX7V)Y#GF72*~5UG`q5r>6((g;L*U$mfP- z5Nu~LGzW2L-WEz-;W&EDqsQ5 zPhXsiAgPea)fha|TmBQZX%yFGWEi8_)!Vk~FNjiKJsp6M7P8_aGBh*+UA7#rm_mKl|yoUoI7vQx9shmk%oMvllOMR~f)lBTE>IE^OVVY7@QL-XCa)+QE>TKD~?wlG@8b=@66))%V- z*RNi^nrisnKCCELLr?E=YI&DmeVt1jtP=QUT52ltMKR)Se0=;!4K_Bm-0!I=lk7hd zE^Ao8v0$c{*x9oiYdRMXFwpNI9;5!7UgDLil8E9uUa@js2%tk5fGNly@1_5)d zM@2@*V-}YO1_uS4msF7kh{Y18#ruVB0GolI$3yt)at;r63x5GfMjRczMo`~gU&6#h zElGKw*F@Ue;u>E6pcKF$VUSi}i<0~DVj~YQGB_-|Bt~TjaG&^-~ zPRo`&fR=iltg<60kF|h+fE7=o#p1)@V0>n(y!@;z9FKzy42|l?w3r{;vlH)Hnwj-; z8yD8x$mIo&5ZT$;$?q^FIW#ncAST}bT+aF~&eXrD5u-{C4g5rv~r=TF%b!-^&^QT7Iu@o;akzxcxVVojwoJFG_c2mO`*n4Uh>+7ebrOCzp z%zKz0P-~=9Xk1Mp;xL7UsK(z4tgm1koUC>Yq|bQc>6x%twIHPI^8RXK%3Yl2;CH9@ z?b#Kip|KH-S)*3WyzK1kvu{5oCWZphL~@Kf?ApWWt=$L+2zJ|O9WIO9gJlVCifwOi z&%wdbkR~5QLP?1W7+-ET&T{KkRDI27CTVE~M(;C$tN7S}TCe~}$jC0eSMURTXMsha zTWo@@aZ0bCsF)x2&}zd2%R0N->(38%1fiv+J%a*ZP)Z78a7YL#IXP=++-s=LkdTvq z8N9eY@L*qpTE{?p?r`e9=Ne# z3#c+SKHfY!O8Mnpn4F{IjzyBi?=q{)moLi#Nso$-egSt#MN8Y<+>8k`{rYc@NTsad zZB9Nu%7GKxpSc8Rj={_DA4*NfrUFU;CkO){R0lO34hLEnI8vpOkdl6AH1m=Bzxg3f zMpe~`zOL`P4zLeRdt})W$-FXED^caT4azv5TqlIX7L57g9uxo2I_LEiFMz>kg zvm>gh$)zk77Z*QCc?iSR&u(vD6y(b*JRuqLliLeb&eURKXO~&GCLyK1`hUJY|0lV_ zT-@9WPoA*BVtfmT*U;TfXk7iO6*|uH+fRs=fpc@?=8Uh6`$|qpM3Ec+JM<=Is2uzpjZJc5%%gd<7Ow|CDP8%yUa?>nz}A#miN) z3@y&??(Ug|g#aK@q4W|I3=9kgruB}qavPJ?lz{0#Lu53Jjl<9x8pgW9>!0{dF0TH% zHy&8n*k%wQj!sTwCLT-O)Eg6(hQfJUmx`C-4gi z1=iL|x$mz9Mn;klGDueRA3jj1BImq{-}s)z;hR9#bzVQv_DR1lB>O%rtQCCGaS-&p z!x}DiUVczmynk@e2B-p;ed^w>gZYuyxax6h@HOl9u&}TXA3tJoad9ECnwq527iZ3F zY;1x@47D{iC9gIO0D7%^qCt*f6Hr`EslQ=fN=458paow3%u@R|t&xXu9}?wKcf3CV zCGT_YuHIfE;0yl1;pxVHpFRzon=^+9VrFB*>h0~Va9$Ihe zRIC>ZOloNi%WW}`cM2?6SXd41?YI;a6dZhfitg^>0PGst+N>YR85tuWelH8vFW) zK{-}HL6D4`TvJ~k4=E`xZ!0pc{)w^~bzhcpULu@wTc)4&gqWuS88tC6p`oei`^~a% zPUhk`BGP+jrV%|tp`k+_=`k3=xw)K@l9G+#KgG?W&_p2v7h99-_UoO;AjqLZ{WF^cx(#Y zRZ|OdJcG!>=i}o;|6$1gD=8bEIBzDE#YrMs9ep=%!J=kKpox!z-BhRIRAGI7WaN9 zXx&&ANlBv)N*bEHoV+}(F4ma)*FZ9n{^?E-Qelp{zaDdqk+FDZf8TEBuR+OUUxR<` zVYJyC+}t`{(ed%QI|m1kx+uxW(m_ua=@tX5Gxq^l4Trb4w&uPOiHV8XUvmaY7MPNf z61jbL{CEEk$%k{$s|G@pl$7Y`DK9U#?gJJ7c)l$R^fx9lg9bTJ`~ma0M06yvnJI!+ zWI&9BVyA08Tva~{tG!N)jUD0MH>vX!^YimtlbWvg_D0zUPkUd~HaeMj9Y5tZt)qjA zmLF74G&CZ2Om5x2jhVCk7gyA@grfJIq4mBa|t4vE%^9j=&Na zwRDAmz`wS(w#|aCX2&n`;O}2;kAnOAr@0ao%G?wLt1{ z-{q`=F3f)l#Rs$Iw?dyRf2Q7%6BiPCsC0UII-le^)d+>5v==pjQLrpP>|U3&5AQ)d z_Sc4IUf|;5G8fY2r>nt*p%^4Q4hkZP@bIk4Ojz%Ql04f*CkH4BB0j($m^HqZm*1=R z`uFmt$|^`@gTKc|N6)3Q#A92!x>RhWhmnUjqI2oB>FH`+)*p34#e)4oqU_zffdt?S{-?F&$5vLkLZC@whQ-2lHmW@QU8}j-4Rz<|+&Kd=fq{4Z+he|cLMElTQp>NSs}D#(DXSWfqPEnU^>}&V zgT-7Nt`q)Sx0>Ewq1^#1Wz5sVZOTikl}6zU3r~Q(%zt*MyR+Pzw0p8%Z1HE|2mkHc zHUpLKl;|<9rr*mccjus#$uBBuYYHS7Zp-8l6BTWkoTQ(cngSr@gMEh~9CMoBw{5;d znO&D`ecVIBoZL&+ma}cd@-U1it=iObN9Tc7HjJ8jhaFCN5Z9mmAqZ!b2`?)XL>;>S zT~b4%4^()d04NcVyPz=i5~?4=15X>QfqH<-K!&CWV+x5ri#SmD0gEA5{lt$U|CZ1< zE>5?0D*yzruyaoek&23nSs2Npb#a(xxgbV_!E+r$HJylcg9q}Hx7DK|y+7+q=HdPr z2MC;z!A2+JMd#+`hFDjBkv`qHeYVp~+*eVqz{809Lo43}hTp-H`$amW1D7E!4l zVZ3TqIr1A)Q|a@5G(tYFiO=gLv*^+@>2aRW?!VP4+N zL>ce8M#&&zMv8&X++q>?36hb$lCNL2KEFs;c5?a}IdU~sGR!_WYh^Gy0+eF>X_Z?| zZEav<3okEkQ$-S>JL=b+-#HI>>}^K|q9I=VfpRcOO44EC5ax(9D=I^>Df~Vq2X`5` z3{+Z58l8#2O69>iGIDn232KHQV*2&`6=Y3Ylk4V9jfW32QD^Ac5|S0%{PjiL=bISr zpmfm(Rz>{ALB9GkKPW9*^%xo$1Vg)H{D|hJrlIf%>f85}yn$?8DL0}Qb5hWAZh<`k zKw1Z_e~fW@+~|4&aHjx>#Ch10H25p+d8A>-Uz{Zs`A$g&0^p&FvT`Hjo%Mg>z_o;* zb$?>+R=^`7qIgxk`5TpAG6iMh_5>jt!SYZ#Dfg>T6qa4h*P#H_IrpK+CrT`|*jP=?pI9$ntf2Gt6+{satkuq=WM1I66Z);0(4 zP9m4G0uvZCVgudh#=*4fDLpy*i&MIl61N9QWwH3=2fWsr#r%gghi z@u4zyNkhUA3Mx4GfpYU|`YazBpcD>dw*qc|>dm3?-qs}TvuDpfNxJ=szF?v$dAX{E z)@4w!sPMj!{_j2qV)hNRg(`%%(d8N_y_G=q)P2x1HEcNXN9{V6zHr4Wfu?}ggoMKWGKp3<@4yoIvOLj0`NO zn-#{P3)Lrkt4AweA`)u6l$`|x1R5cs3wRvZ0{YxZ(_rG{#8XyQ-v1*mDvF-7KHF}> z{=aXbK4lF_x&^xIlTuT^pY}Sva(sLY3C$-ij`Cg@P2i}BhuS>TquaM{E8M+n2GT~< zaR%WvtqTQ$4BHD$BO??*#x6rW5~Napxt$>)?BM_^lOs&LyhT%09Oyj|pbq917BALE zcp$Zlii@YCg?NlbiXh}QG*9B>ubQ<{{L)u{aH{`~KZI S$SM$lf68|sC=|&(_WNHW?GLU1 literal 47349 zcmd?RbyQVf+b+CGNogrbL68P%X+i1k?ruRqQc}7kq@dDuYpgB z)^*W!==xS@fKv`H5L*m|N=;mI7Zv&?a6keMjS3tqdWb|1y;aDMp9#H@yQSy{y&qHb z^1nObN$DA)_2_qT+nNFqX-X-05>oFE;<#)W)@i!Mi0`Q$pN*|*KCoV{u(d)hJHww8 zKvR^|!$S;Syj!N3vqya~Y#C&28h*{h^swx7(!dC#TJvi&4C5stA(ra zQ?pcYVbpn{0mRP*kIw@LVY2 zd#iAi(LTj%cJ729o{J6-F>>-o1Ew6u{UH$>F6y)jEWX_TH2(!dTlavtrzDvxcySHm>+*ageIl? zy9wHqD_Ulkc)+5&u=MmMW34@&gw?lLkv z_q_xqfx~au@@WzL6k{_xJ)cs)X)f;cT$u~MyM8jli2(N*eQIY;la2SQhBnNxyz*nC zYxT!rrC}N=5tVof6%|y=Un|1Lxs4OwOlE%K>h3-(@xaey>X1gJPqC+rox~2!XBUWV zFAf-Uzx@7e;5&hZtj=@@=y&I*)X8N-1H_74cr~7-LmM~txslho$=g9vroJ(Mi2 zotN~a^p=h9EseRCl9T0)ycmKi{@`~%krI#hntdTB%G0O~FPW>BoR8W~)NGH6r}8W< zEI%vh@+l)426Lpotu4CYYXzbWJG-ITMjXU-MEa!9P2@#Iot$!yNuyQ{7cp15I`P=h zZqV3}-A!=@Bh}dmP8yaHkx=|$vFsnHJKNncFfeppkhT+1vLQcZLt)ZE8?5w2L{>87 z_2EF1m{@j_;WaUN0&C|ivE%FHEWNi_{zl49nnP395$y&&oI zM5=Z@Sm!kdn#z8aSM(xU@OlOdtg1|fVq=m14b9|eyMbVRNf=gyO4&|4JD3&yHpyqp)m7D^^+A@KN6 z##ALkQv@&A%C7%90T%TC^AieV6nwA7rfcm;?`{|Gy}N`qVxPP|xE%H+ckt-falE_S zSe<(_+*LEBAI|EvjLz$E^gC=Y0A%1F#dX(Fs`-3zkK1n6Se+KV&r3HqZldomu)MZ) z7X9L$C)t&;mEe@rZ%0? zVUH<2x8>Buo2RhM!a~%2?|n}vaQl~IoB~&yIraOk*VxfLhq2LKh*$y#uv*)h%Isq( z%k!PSTg-yxMci$--Ju&?{?N!Q+6wa?T3FEcx}IG`hPk|byOQC#*Aa|Kns&bbs|NkW z+nsg`p=09QF)OcC(#7_4w}l4d|G1RbV%Fo29GlzQox635QBaQ+)d;fb%ceJ4kB44l zS&_Uw7F@E$au40iB4UV%DYzI^%yMAyef?fU%@v>zO|2O+{PJ|Zx~ z?a5O2Vb6tt7kl+NE1x~Btd(1OVhLVO_;3B2kt}7lP*YoWZa7Hty-d1TdLaA(;laa?E|?NZj`z3ct4VD)wEEts zYT`LchykK$Z+}_UUu_jTjmhy4cp0AW%&gw{>HFTEhWkX3IyB?(EV!FU9aDp$^Pc?S z9RmN+%(-d4{!f1D!QFWqMS6NVt?y0N%aDT(EFbKbFJF4xlZT2QfFM|I*vRNSZ@c%N z^Vmq|-7cwG_by@P3FE>*z{A6nq`|ecu?bk*XZ3*Qw`feeVPDa&Qug!hjs+EpjLaIJ z&ke7A!`h?ot4_U@5p`|1yY)9m{WuRpaKP2U0Is}$K;C|Ez-Hfasy^qo=Bf@k`Tif;gbc-jCzR#tZ z!0pM{#dv`b(&ym^W1NS1tlp??7hS9jHwh3|1iV{ZbN#S1vjq3rkv6Gc?I)Z(6EZ91(APj zy$b~jgU9W*!G7~?0L2X~--?CztgLD8+f>_~tJezN=ib?#*&3Uqs=2e?C((w^&dwb+ z0vAgGuo7hchHHNi{LTEEVZrGpH&)ovR&n_&8yg$GHfXEj%ADML z;hGQ-C!Ke&N^wv0H^u($#i5Cp3KXN-nXW+aJ)-mVw<&LVD-oTmA3+~>QRjQjGw0mT ztcZ^URu7NQ{q^GNdaA=KH#eTAbaaQ`@f4OUgs+KZ#}G|0KHuMLEWd3!E_<_GTDMYI zknye6`}(WfzW&Xh&v(zD)nU8XN>-tX0gWWN&xH|8g!geb$eEueE}T)R0!u1E$JyRg zaAlDEoSF&&D~60tK26hcU?}~C6UgFO;9vF|kG+PC147?JLKw8B$b8S;eCw8`7jO66 zE;e5ahlPfQBK2H&3Ehkd-{LJ?P1Zf~^5swOUcA3uTpfK)p?5$cC@6R_S=Sl_BHP)A z01UXbgy4ePmN63TC)t(qyRC9IUS1Sf{bqLf!H`=k9vK-Kl(^4Z&jlX~zQeyh-|q<# zI-$A&=@MpQn_ywr020OF#cK5G-SvJ?yn;|@&g*Dnb8}>tB=q_DdH4Bk{gC_9wmU+8 ze*Q?f>43-gm}k1m0t>c8x_E)SaI?-+{zDgxBDS)w9!;MR z$O1#NpRdLX)=Q)6by=Wn<8pUbY;bGcwGPUrz?h#C5`M->d_iJVB|3FwOUZJn+V@E_MzC(`m8X8DNcR7-74jZix})U9W6-%*ZJl0V=-4adC!#+dbF90jAKnfOhMxQ z3z=K}NeREBGPf4=wyTNqufF#_&~gBXfX2S{(%i+x#n90a`+V*V*4;&qFg$GGa>#83 z)4{!yVK}*jM%2(SLKItbLWnqSWz(sI0;(cimAVi#xn`hYH59BV$A?2_gvkR-!v4u0Dz}I(WEa+{t)29c;B7Szw`8r zm3@ld>I>#5THpv}NZ?o&U<9+7&kAu{)ZP|y*b-Fx_qp7otD3@_6}l-Py%vTOd@RU# zhvs`-=Ns-hUN5B_>6-BWn5J+z0T&cwQ79dY|!EG z=A=N_wboVWC^i}&LmsvSVzHaKZqEPys{H<2Z!ZdnIRob6lmhK@xxQ~M^O-%R4@ds? zlW9=MweYmU#}BRpW>qJ?lVlgi)&`Ua_rj-{1P-x~DH z(bca05)J(0UVcBv$A32qvax;LoUW)~-`EY(UI7~|mFek(mtW6y?9*hi%Rt6XrkWTpnJB?uNg6DGq2KQG}NIkbV8^S#bK1X=4_VvNk!(UUa zZ@bnd|Hk>a7l8sLc6-}Rf7=qs$doR6J=cr(KDuu6uI~Lh3;qBHL_|lg#=a)+*qd)M zN_i?kjs=CZSe*5p3|%00Tqm0xMno63LJ`V^DX6N%G)-DwZb=QEi&oqoCAEDo5ITMK zef1Ejr@Fd&3Cc4`EiEej%pp_R+Lpy~f5%>RrDA6{-0-~BC*oDyh$~)p?+E$Xa-&RR zMGKwo(dm~7@5_=)^>Z+ST>8f;Q%eh;`&|w`$E0bzPVk}P@E|!9q`xI8t6xEz^Ew_p zxGpZfdEEvesolD~-1DW9p$r3@-5YeZFqQ9gdS z3iVv*q64e!Ocjhu39OT|!qY(bXIOBz->lVx{WyuF|} zT%T!Vz_jd=5QQ6Y#sw}u8Gcb5%#Pgl`kN(9==+Lad)@@0`LRkT6B*rM*-+IZIT%K# zw%ORQB-Iv2BQhoTJ$?&qxTF~{0N-WpGPD`o2cLb#BAqQNW(dK54UtnZDYR_C+bn;AduWaM z%S4o1iSkh;CfLa|mYhQC_u}?a?z9!nZjJszqs zj9nv&vZh?pSH%GFvW8&1MS%N#A-L*>$gE8YA zot&dQBwdU>3Rw=E(hagU7zxC9Vu`Yb7*l#bBcX-xryjoTwLc9ipmIX1k)vh4yC%7) z2;(brFzC?%5)efzaaYi2?%g1_OU*^BlB@VC8b?u7*&|{57IV^hS;@XHF6l7nyk`O6 zJlk#iZ23ylnf1i7*$E>Stw1K!O#?;M?;vuNX&(PnqpHzpady?dKCnz_{ z3p<=f*1Cg5r-}*g$^AFTpKvOyag1~ z^mR{OM=iY;zQQ@%nF$yjRU!(0KQtuYe0N&j&W?t+!TV|_b5ON_ zz2M6wY;7d#<kPcYWltx9e^+&Bx(F#lY1b#EqKty_0hDR=?*BxcyEOY8pn4jw6@X!hi)@%}=#Y;n{0{k8lAf zp*LTO!fI=|Z@|_ZIJ>L=a|37~5f!wy_R$Rh{#Bz;S51{FwOP3!&XF3vqyi&2_=>Y{1>w7wpIvX!V!!* z&3Q!LpP#?QSn}bOO0si!v0!8z^QouSF`P6dw&Q}&Sn5Lc<}_njJv=CTSz$I3W`%HQ zFiUOMJLTA*KaHZ%I%JsupN*Jkk?85@ES9G%4p>`RIW5>bIDl#XTg(>Z=QD8A{hdPv zFo(0Xc5fDjO6Q)5E8%bKDq8ODtb*E}swRIO;UnOahCQx>2=z5xO6H#*ezgT`4USoFoeQ~ z2!{PIIv4?ltN%*3(Vi0bQ=9b5qWJ&B z>lOLZCtH~RG4P3rOV$ch!(d)t^<;0_qT*BNnk8Pfl!O!Dw_8u20eS(!^K7RBf`-i( zE8)p$Y2s`|;-GvjYrA_l=e`>0Qp66rp^N~MMupzHKY8^hKV>vLNuZ(73Qkdo19d%6 zbF%(}(k|XLr)Lsh0knGcL~64URms#6 z>)LUic7A#RPk;9hj5Qs3C%-ox1yk3Y8aR3HMo?w5EbDn>tmG9)J|Q*-hN zFyYEEqGiOiN7L3Viz}R|*n%_8u%|Sw!xegeLai*6ev_Jm3Lijenwk>|pTCL*!KT{1 z{G#SRDmq?bi6PElEY%7VQ*)G{Kck^5s})VGTaG{a9CMTj!azB}x`t1ix%>uOSq>T- z)jVyxDD`4S;XqYVXd=`K4c~C)T&3nrZ2iEZnh5^ewjVZ8`J2gMW-&@dO?=v=W#Geh zUjY78p4eHp?2Jbh!G?SJ+M=p$OI_af?8mTRG+DQc?)$|jqH&0pDeuL#i+?3hh!tT% z=&Xp2Em)3>ij(V-ohw1p@%nr1FU+4i2^39O(j29t_{0F-jz0*(mWPIVOS*Xz$!l3W~R1E|OU)5&PH-8{u@TtZa2Y=2LCQqI--&m0yv{XM!B07jj0oH8=z zN(A7&+&#qrPBCi=yF;+T{%>UG|HKXtPesAP;A&@+v(|rYjrKRLH{M-SLof^kJOG;X z9H4#xg@C>Fy+Y9==th!c+y9hGCYIC>>zJtV9XpuAiBcq?>M5s=wept=O)ll%RU}WG z9}0?~SanWLPCBb?n6#Krfaw#B(PuMXzk4(bDpPgB=(V#9 zz{#7Z9v`R3+JIyO5ch3!T#rZBK3OFH7~7SN@k8mPMTq6n~(a4OPF9lzXQ0@Q3i-s_@E; z#pfWa6vqbLzuH6)t5??2G{m1fHkHx^LCp6_4nS0YQvl`fg7Cd!%Me*7gZ{Ai@=0b(7Qm{2=00dUi=X|EAI&UBYU z5QtQ3$)KYWJhfLMYjuIDZIy`h!-D6JiA>x(Nf-R~_U!kfxBvXy5j7F9UO|R9FCw%~A zlEj2j@>6`Z9v9uLBOS3KAkgAphic<@(fXD!jWNnA-)?rR3-27wf~f)!%2HSK)x_w; zN`W*JbncIc)YMdVPR>9;ekR^jJb3unu}oBwIkOe_G~kB=YN5Uvsv=ACff&Zahbw(_ zpT%i#MR^C#5pRFWuo^A4dK*S8-y9FK_Nbz0;eeJ?yal6^+xXEee52ICn-NxwI!h;f zDMcTqd}8vDLg+7_HuPv1@ZX8fvOzHfV4hH@7_CZOH5mHQe&i+ThfTGf)wrL{SRC$D z4X;3;4)D5nXdwK}7kJgw4v+d-SC>O5x}m{0=$-)Cr>iB&)AtU5fWJLojIOP%b(S@e*lc_+NmBth zgS7v2281H@2S}Y3*Yv~=*=TDr3nVf#PpF0RykmGDpQGebgRJh!K&!KLUTIspM@mBC z2&B&CqT(`ttCS&%7n)K9V{90mmu@hqY=LCZ2~|gsF1w~TxG?3uFDFU_!n4$yjq;Tj z*0CzzPzRPcnV|!s2On)2(i)(4r8=|{1F9PqL--LQrheI!cR|I{3gDI`JUu=63fL4l zNxHTT?%&zY)?!lJU-U3uH2_F9WJ8@$Iq75k<86vlS=F!*sl{h+ZkWiFD-g)QPfkwG z_BCg<6&04veK18R=J@nIMEJ%CV$@+vr|;0CNQsF2 ztWw<95;P8gd{GCH>W4tCa+0z;B0O#w_I?;2ACD5!`9YkXDiXVrW9K*}_$h7-t&zT( z2_P4WyA(FKaFoSo)D?x!Dx#M`zHr4grlX@nkDC2zgwWX3lLnfZqQA@2Nn@vhFvBYvF9RWzahB3ap1=OaHhT=ivRLet1u({hAzQbrNTkR3P zV;=(LsoC&a)#qEL{QUf{R%1`0T-Wve`}fLnDU?Em1l#;qpzD>toKK(u#!?TezH&4mDtw#udHJmy0vQ(%)(#e zOIW5Lt1-8f8H{n-Q2#v2cLoY1B}rs&B-1GW45L$=Go|EWgKCW`3|@?iHG34_rG;NXp0+FD z)QQst1q0xJ-J=_F*)Z!Cir}ciXZ#J#bJojll_Uu7Ejfb<3ljuc@*jh;he^io=&Y`d zO!#IQ3r_P^5vr`AtfGBla<(@get+9`&m%h)NQnY%e$sc%AmS+QmMMS*VsvaQ02K8( zGN10^RJU=KO^q7uM^@FTJ2{KX(7+g&SX5Ei&6rz9uH2YgAAX#WEv=eS5PnV|-WH!X z>iR~`yX^;VCZz8v;CqF9r2wo%AuSli)kw&}GM2Bq6h-kiGBu9&St&srO=e+V zbYbE5ly|2UkKdx&Gvs_@mVqG{!V{~7Ofi>AS5-(0M74P12sGDW0RV5Af+}UaX?wPM zr6zcLS@Y2JR$`+WZ5JDt#b*X>EZ z(jCI9vAMYj1@A4Di?;jodzL2u5Nu^3a9e>qkx^OME{+f4&q4W+X^Fh@tfoxbv6N6{ z0PS0QSZh7CX-!ED$7*G1=5G!;Jl2*I+zjtCt%#_omGMHA5l+l3MHEtQ+jhuBpx5-a zW39-ma(H9}8xogc?K+EB>X5Rmb;f0dlvg|ct+>YeCm>YY7J)-=j6^mWo2ZIV(J=Wb z5s?=;s;}E|!={x%gT|XRpU1mu+11${`>`8#hl(;+KMI2u`>b_E|B$A9OFYFa7EJid zfyCyacN4MHFZmM`egP&H4W=y3j!-Kxd~*%_%597hOuWA8U`;Wt2@jT@xmR{)Q=9)Y zh6_DXlswhcL8o7vT>&3gpndptl|ZIY-IXl0ZN7sjpq&U1!c1!KOuDTBH{J=@@3z-0 z7hG3@xS$XQnvFUD#shWTEAc-{0NhTruPL^G*C&=W1UH6XFDKueNl5V1D7(;Qpv_Rt z+I~vousmfMM??8(5?f)?9{ZJKDdRJd%kZ`fbl4f_rVBk@k$P+}{r(hESizUisQqs%X6hZZWk=(EBQp`p0 ziQ!v+VSbY&(>9Tzr$wR%sxoWxa_dOjapiTEs+fibA%Ho$u{L<$!Z*yDKQ@1mE~y35 zlkrO%*e#vO2nIrmJ- zQ_+WF6B#D^W&Z(L&y0(`c)VGr0ypxP`U{jNrxv9N#7X#>H(MHQ41X3;wYEX=burZW z07s_CL-b}Dj^If=>dooti?md=XC62SWnwc6c-^H_wr}je7Maf*Hfh86H+HD2oDR&D zvwxbbG+4b^s!*N44#ZL3mPS+LfAIqS?i$cug$+1VZ;0|kuQT|AKiTq?(V)n)gqRa0 zOVQWw7n)q0lui!TgOO3z&`C7@hYP5$qj#@;u5P@LM}KPbTS-oosF2mhE+?BwO~Byl zXVL+{7Z3mX&vt93vU75B9w*V}=ATA(vkBllfb|*=6`@q!m2Dvh)2(chMjE|&{Ux{g zLjWB$qjC^6TQ>pyfxU&Q$tlMERB!Pwe>O2|HLa`68<1@wyN-W3SVj=w?01q9vtBri zCEk2XAPYxbCG8O%JpfA{3_qwB2V4k!(Zf#8tS|ietJ3=V;(OLIRE%0d#ts%3{|4%2 zhBkM@c}jQftUtNYma3vYr#dZTVx*rk@NGFhgWP|ATR1gOE(UgvrzOWW z5j#=~fD+;<@$VQi7j8uVO*QR-18S;`x#^7+J-fo(JX;IZ&Su8KkEQ%#z2AOR&K*`n zdt)FVAY7c5`$n?*UiJgallxTDLXZfhVpKn#ay(+U<1uL+zghRIp)Dp8464r&sf+cl zT0BM4s#zb63(2&Sl&M@+O!4Wuas9G#s%8u(crK(9+3+gW*{U#7wIN>=@aqd*P-b|n z6Mx;IG670}sD%ZcSQfUp(_OsAf;drU8*l)!xG^w_L7s-ti45fB>R+#$&d($c4ivuOKV%I15D?QGT)|mKASOUQqeH!Qi-D!vYPdYUIITKm<;U7e6_8w?b2_# zYs&4CpHA{zXKty^n2}h*)JHd4I@RH#nwIEtLD9d86gGJ|T>w zXb%yGMM`rrQt14bKV`e1h1}Z;8^Y@hRg6|nIF>|$QtI%wEB2v;$Ks8YIb7*U8 zkIc~*+AYaw5mb~Hha%_ab0~5lJS`D&s-&UZOiG%YaVZo<96mQK zBoM0!lNWy4RZ@BykA_HJR0JXJ9uQkH5V9R{72LlS`iuo(x3ZQqZC%$1wY9qw(}dA@ z+g4@yn$mHj_dvPsZ*B*%ao*m_D#ty#RYtwGO;U~<0UbTIs^gs8kOeDz|{nHaT zpfQ;j0eRdY!DK`D-eYIB4l5;pP$pQ82G{*}>}v>f5Y;WbW4yY)?&m|Q3{z*qsd}Ya ziRtwW^Jk+r0vpB{AE9J#EgUw{n;`@a3_QKkymMxT8dvXUi}C)L!x2|D?&@2^s9H^v zzZ67f;6Ju_p07Z1%hFONUW8;^;9x4xDv+o;fgdyg5CtgyOU?I?-4Zf+#M3Dx+K`wg zjKuGF<&`+Y5?(MlS_(WAHN-{|;VBh(fj4>YiU)qjCJOFerS*->dn*T2jkqaS^-*?$ ze#)G2g(`A8Oa~|cEFDu5a%{LJ{*8cgVG2$J30p|8T$PN#FD%T1> z%=jQ;h_Nk3K0t&2g-^{fK20W!&I0ICcr025U7z_j!T@?Ho5 z)VvD$){4tp!yp5S`|Rw3deom7H4%l%FVWHFdfhq>a#z!4Ax3CRj~=DYZ3_fb{ms+-ybq>!u)_E#p^KK;I}qvtQj%nJsuf1b?x%p%nJFz zPEaYm`Qh>suzpnG@Y!#Mmf>KXh{jR`mGlELN5EvVw0(X{j&-xn>vQ^zjr?NJ$?LXt zakzhZS_H_!!*f|v@nGJcw&i(QGm`PO19vvQ1=efBS8NNokblVWYwid z&X&zaVYTeqLYZ;UK&#gtPHU}ek^v1N)myOkyZD&$n`r4iEiJ}$(?2IB-%4wJ$7R$f z<>uDc*W-lqb8-;;5>myir?kD|m?w>Wz+BL$z`fTJeC^DxsY4KEZU~NSyo2lv8LH`l zBPyd2@qqX(LUQQs`n8D#d_6J@lUo5y-`Glv$T~Rzv%-lq_klLSUn;q)wL6c-{iy7Q ziO%C=!L2XX@@)ooW#UKL2YJQC=&z&6yMU=(`cAXSzo4b11yFm%Ur3^pd1OK9^2*7W z366-LKlRoOHO^h0K1zIy&B(5Rjkl0kgxioEZZkMkavW{w0q{;dj((D3&1RGUn?+EY z56rg#2a?h(Z8shS!LuNGvlQq~=|{53;*Hi<=9*i}3<~}NU<&9Jar}J@MGqyoV97DG zPFiwHML5IffhBemWadc*TJRrj${LV?)Z2llAn?AmRS4Kf9ldpd4rdZAh}=!YWmk+h zaYCa*-%wdPS8)F8{tJBh!=a@Y1rPZP&Vyf)+pK*@)Z~`z)01Y$#KREbHMI+Wg@+bL zj2VmyV3G*3WQ6F1TrLMmHfmn(<&fOBwA2p`Y3A1bQU}!} zj?2`$TIm8yXw7C;JRrk*BqRmxuwIQ1G3mT&hg1E!copRa3FgC}7I z*_K^prWBTKOrO_Cuan!^qEm0a(bCZ^vOjgkAqGzj z6SJ=LO8QBZC;h<6!<4IeQiLEWh z`QksvA!-L$qTS}49{l{n`RdiHM>j7~%B7!boJGH47x)AV&_j(MOWgogF@8g(i{k59B49tCUhX0po`%kpkAm*N)14URKpcz(PU z(tM$3UK=)(ruX5;rI1qRbLIO<^+4rB<_v&6abYoingr;Ds%Q}7v)6iU4^n?{Ff#b5 z$rNnLf!hA=n^}bD7$;;8HaNKgRJwrs*T*WfHX^jC-DDI|+RUp+>Ic944c8JLQ$!i7 zyhd2?a^is*o-g>&JSUOuWJo^rq|vP_p7juhA>OiF2;jz9VWt>~8CEI0ntVhMF#LpS zbJ)S>3vqY0po-tjO{THObCKn_=()6nh6aj+AA-O>MwO@xNR1ad0`JaHf6;~?c+h-T zE;{CA;i3qBSVxn~4;Xb~a`KFGhciYIH8plVKCOdQG%jaq(*}ka&Y|jkoinHQW8?wi z2boRGA23UOFrtRvYR!*qy*^K~iv}JcTT9HP=>rV>!N82Fi(VqiPz+LS1dmzTXrZa- zdC%+EAC^NO_q{%l7h)M>?snQDqm5cNn z6DiyUm}OR3clG z$}<9$ih)X89wdP3*K|gf+(ZpAQjCBUWf=^f;NrZ{tG_&A#wJSLwaF$@R3lRlE^yV4 zEZXX&ZycLKOx_L1{==VaX!mE@H@Q9YPu1!<#p9O@IilK>gs*Ukl!-B~v7*-2e#1nl z^T5U=O09#*$>ZT-$P_He6kq2be=i85u84RpRBkN&k2Q|4EV;73+JG!gR3MM4bn8O_ zXR++{a=_4qKWcsV3Ti#$C}LThb!o?Assz2s;RpgMm?bZbfJDeLK#%n$~-K~%jr@`zOhF{Fs_aQd({%YadjBrY}#3a8LkEEy*Du!^inc&=>$t|sG zM|LtlqX@>Y>0VKTp3&U`=;3hV0kCtX%`(O)xd`0dP&Ur`%lQ1<2k#UjJi$gZ)azZf zJp>`CKt|+LMkZ5O)gc9UCdZek*GHd+C2fya9~9@h`_vJDWQnoZADhR)#827M6_;JZ z}ZRzbTUzd8n13?~@jFFCN7!xt2H_f+uwTQbL3m zcboZY&W{g%R59ZG{KkmWXwT1x^Y&BiSHn--Z+=w2L5(m{d5uDtHX0^J*6(nqAs3>f z9KiR@W;yA_X(&9tvfI@w6QYa{2w!WZOP<&f5v9)a6K8zLai~7I@mE&IK;|oVh_1TM zWHU#4@HW#p`RR$RBbec5d8l*y?|O_#!iPIJ{T5H75MW|HgkJWj@GrSxmGIBT#A}7a zYt$YcH65u_qkU?^jn&B4bENL2(4d-dsW+=x?~Gxnu3ftq6%LfPa*hSw*4#G%y53~UD+t%o-qS|r&8FFw%{mF1QM zS^j3mEHxc>6~u2@LYm6+Kg}NQrl^&@NAkjn65zp1zGHe<+HcRs^i5r#*2y--6|EsI zD{Ew-Xfe`12pT6VfZL`<&1HMjosju)F31&Azs%;>s&l`o3h|(|)#v!d6<3*K{fV~A z6?ZP6a9z5R;aUD!#lK$Du)p3svk{f5r-vdkit&An1b2vp7>Ow}qgTn3ZbJD%0>NNK4E=AS= z=xyqMt2oQ!L?HbnDe?%(G$II3#8j!hSDdQuW z0ROeM{ZC8#&lFRF7w*G*0hP&fLi7noO$&$F<;}8VByNAS$QXYjw~m~94m0N1T$$@) zg1P!tT1tx#!f}4Z?m*2to(Z(;Ce2&%CgZX#xVe~5fO?cu!w)x9TTS4N&ZO7SHtSTNN&Zu&v?$?FJgL*%OV55`|1E!gl{6q-i=BGAF zoMf?|Ffhi_G|qm!8A-prjTeVoRe2VnkjKUs|8^k}@s(U33Kh%}DX0Wohr}X!3JDlM z01o*&srRYo7UyWNj0MF}+l%Rg(V3dq-j-OvB9aiQ;LY@v}Yv2p=FbP#}&=RLcneokqy=gTStlcyBUYLY+}V4 z3;~wVlsFtQ;LAB3WRpwdCGHBX5bt>WQ90FgrWidQEMb-RMk&C)g0B{`$oOO_e)&9@ zG7O_p{{j&cSp?tWy5e^ki>z$HhF$3e+Hao&MC9d|2k@zO8U~i+5n8J-Lx>be#(cF- z-pRzajlYt0$ouZsOWL)M7tNIkW5(KfgAMU9$!cinO0E~p;~yhp8YVT-fGa20XNG4V zD09J9^P02kbIrR?wO-<(_Qu834Vv)uZCM|_kgEh72jFSY2{wqHW?CbIzW~v3Re|!= z-*3k_{7tKzz3?MXSAfsu?;m+`1KlN`)UiLisSK_&(FO6;@bUX9|ndHzWQSu zoEeIGk_$|{KFrm2eu!1o-(qyGS)p#B`Igx1Y~Xi-Cj*Ox7zb6Z7nG{&@bR~vts>NKzfU@xpKtm5 zT0=phsa%FdmC)^JE71ZhXyfS(`w>8d_2l31uze}fyG z^W`y8LtV2k8fYE9GHLldIQx*~v$T=(FKN#7Wcio4$MJHD0OISr$-h9P5QegMmpR~%5PXuI4Ph`YO>I_JjPgF zVhohCZo*#JMd}ykMb?wo_qze*LG47ieV1fr=u$KUY~7W8`IB#Bo}{AZSR)IR-Rx#A z+*w`BQNz|xxZq?@&J=)Ui(?j!r;wV*CVyl{F8KqkTHp;!!AegcYR62G(M%Wxf>88t z#K&*p%Z#)mkJs%FH<2I7w(Hpz+m{*7ax;!bL}6D7KwmfVyj)q_aA@+oaRRljT&24~ zeQG=4?q$0OvH0^>(4wLT3~elOCX~48UYoHbmc9+mQ*|jhUPGd5s8huAv)6ntz4ulT zIJ|gdEw60bpN3+Dn);Kt zVcAJalJQrz+`Kz(h|DwAf^Mr^?UD*I@?R@dr*w77;--_u-eX_ySUGIa%?lH#w@C!% zRx`YeKG>89vMeRQbwBdLt#pF|4h0IIMM=EolI3Ri|oY=nMi3g zJt(czI+xt%W*(xwGb?*o4+tQzf;EzUfuDY9h;u=YXs5rS*0X3;H_rSp?kMH=^PTN} z#+vkqh1J0NIlq{s2Y4vP8cpFjTLJv{Y6ewK=G2HnEvc-trX=NOm3dWg*+UVJA z|Jb(EY`l#Dt$RaYSJ+*-3Vo%$E;3GlRM=5ukScW$eoA)l8^3W z1qqc85V%}4b7Z3;5zDzrCmgS*l!_^H&NtMiqu8=IwpUrTOChqZYFUdte_chZ8JoQjW+~OUZO^1S@p7-HnsphBtJ3=W#nIil@_E^Bo!9b>ONtzG6 z+FKp0Y%03kW%6m0G*9+?OLL27b@4_X6Z(t|ugGRKwdeV*Qina?DB-}mG4{E`7%DYJ zXLapcScC+w#D>6&D6J{;Ah#f*{08ZFEYVv|_TA_Uc~|&DZ<(VOnbz9Ki48{YA=r-Y*gEuCB<2tcQYY zMPeDL9MTpUMV~(s;tPQTLZ?r8Af{c%jeH4GFLh^dtzm~@Ee*5UkTzXASy zOZ}BBWN$+KDRW~h+}KSZf=e>^73 zc%~_Db3e~gEXXeqAV-ENnag_}>KLUXSyA~r^bh`&>yA_3#~%qasRQe8P$G=u&3Q%)B&ck8YzIdj){M2tyDLZP7QqD3OLAFY9kZDcRV6jY|U`~i>eKs zMM^~4pq{jx2^Hm14`#0MKd5@kxG1}*?HiDml5UXhM!G{`&h^EUjj#>3>7gLue0~LTQSF01BXr%Ddjcq zo}@qdiznYXt1IYJ96T(-nOaBp@J54D?r$0Dj`Sj5uOu`p*rE3D;`tKk`_p85QjvXf zrl}0(lIRZ$6hH4*Wq=L ztEx4#Q8n^<_p{dAwq{NQ)CC7&QjI~<8+s0>xhv+Wfp3u5 zhAUhM6ve6oRv!0j;aq&HVaKR9SJ%Nd`ps|0yC}oM%4j|q7!}zYO??$v)kSxU&c@uC zjN`v1*`2v28D+CL=7s%mmmRGaJ=Vnt z_3Lzcf+X+FU}4}IhhW7|oqM>|y@n_6+Io;5q2+a(-yvwgnM*XcEXmKq5%P5Nn^{F> zMlph}t=2L=d;2Jx3r~4pqYzj+SYsA{u^kC1@ zQ8V^(Y%*e+=ghJ|nKXMo(Pf`XfD!9zkmb3m-yXXRth!)dIP)p#5HgCu5XjL`c*@q* z!Zea%1l3?w)PAIglpaPE zIe4J6x><$Wl3%sSPO;Matp2Z@0lZ0o`&5z11L}4Vx$~5+EeY%0!UvF*g?)DOVj+tR;cLo&*vg5v(h2|i!(mS{H(|c6Z>gy-Q!IG=c>sL7%!V^_h@7t4Ky8#K z$N>lPq7lMa4G(g-%EM|%vftP62f(HJ8WLH{7&Qqp)J(KIQV>SFPMR9C#9h8~lmefq zcrmfhF_l7{QfT6`yk|F;AydLI#+SEP{*xcfo4x&h%U9WM`H~6lIQ4i%qCeQ^)F3UC zR#xGq02iL`W%kB^(E2&X(P}%6Wv)9uTl)@n*WKFbP{6}N!0SvUfH;%aWUTWz#)D~r zh+^VsucJbia@uLH`1kRCdkOpW#HJ>L#AW_<)F1DunuvYO*kZ=bZDQN_Lz3N>Xt%P^ z%boxaof^>BLTkI!dZ|SHGysKj>nBEn;YR5>D9a4xS}A_kzH4fzFY{+2mtzR&a8M)5sR%a>$H zdx{p|D z!iY2Vw~7F$)>N!N-HNiC14Vqy$DMAf+?+jOBTK=_hfpgd!_w;e#SJleTn^FHF-752 zT3FHRqwCWFh1WEu9*zAy7W~(VNc0dbkc{e06z!t1^_MRl=5esx?Hb$4n%A z8_jsBtb zfCND8cJ(2_Y1NRb;qg#%rR$ARAtl_`sW0`}L8&fGXG)S1OvM6EZ_-f?ON@M0iaSL< zcL%WaOwO*6hi>$HCR;gt)g8YS4MGKm)l?9QB@CZ4a5*_18-uOCPKKpyCeWpJR%z#mmZaz0;6S4$dIW1zf> za(&f?Lm!>*YZq_&wbBJ&(U({G&Zjr3=VELv50r=|Qnto3ryJq(FdZvWi(NgiMUVpa z1iiv+I_V%2*Oqem6X;Y%bJQH6lOF3CQFiOt2d4E)cc#qo52LnqrE|fm_CQE6J>|!w z__VUrcHD7%^L=G%Xn5V(a1EXwvOF$P0dkrD_VYd0!Cz!1ARQ*`w>7%cg$XQT;P=1x z8r*M5OVQod8N;c;$>ONW(Z)xRqY7a`)%;iQdY1E7mZ}s4Rj_2Lt|Mr;_TwQ5ehBPT zi9araW5YBp1DDp#MUH!m_@+Vs18Dl3lRAT@@uquy5~aLV+cg;?8xM1^-nvC9+s54}3 z*-5m~z&_du*hA<|4MO-%6FS4jG8TBXkAKzBLtt(RtdTZm$pazPKQ`Kte&Ka^@cVpn zn!d$auu%a&fy1&*#V(E(4|F>k1gOG%zH+8*9FS*-)VFK5>IZSI`u@ZB-QNoNOowYF zKrhX0k=yMGIt&*MxXksWMn}H6r8GY;DtDUg-A1;So94;a0Au2Lnb&t2rPVjh2e797 z|66%jp)*nlYUI_fE^QgeC@&1?cO6Znb=!moZQ%XJy6cp}Y1>s^aoW1l^gSi$_W0`{q4X?WqQWf2 z)kaew(;?6E3pti$sLM)e*+Q({jXo#Z|4j3FoIKjcp^So4f&tn$)}B}o2>5%=%8&pn zl7GpMtmL?DXT|5|sEDLhejznxY{Lq>k>6iO{HxXwMO5a45LS(6d!M`vY%bVq_3{z{ zW`keH#|SVv{;svkn@e$(k@cUjqA6t(w4 zyK0Cm4A+Ap)yFwu80%{8+?{KtWG$XsMA2H)`d+dxOO9f_pL*+MLWm#-be&I|gtBzl z3|Bm(5Du=yucBdR{YMzP1URLei2EP65n4Wyl1ZD#X#YsV)HdEY+B`Mb*^vdM=+U^KWB<*IO~y7w{=FXy9Nc?9gLm5U(f6Q;2I%mJcujjj0N*myzm|fknTt-~nTUxegTp=EUcK z&|-V6D}>a&e?UpU*Y6!!f4O5#&s3S>n$5OAiDQj=YIVsf9<~M_ki+Q8)%d{~14{kj zPi~9}OHwF`ZR)vNYZszkCvlWvYg%Why;Pm&+dt%4(6TX+aollPsk<}LI&6Cu<2B0*}AO^vaemvU{}!E8C* z%}YdgXX`yOt@1FoB)jJiA^e`U+_x&SFA?bj@tXeRHf1H+A0V61jkbQ`O#XSswQmy2 zP7%M^$GvRKl0cm_&I21_vTidd3HHX4FV22qz%!6UvpF!zFhnIkQuGTHp31Yo)eo;n zfcFjbcmgvGymhLxtgM9N3M1RpMjO>XdbrE8G>oZ7HMYKiPOu(+7bBKpsi69mJhRqw zra9Y-^XmS735PK2v(%i@2)2}#B8;QoG2PK3uHk(10`~gw4-7dT@UH(R%v0L@waF8g zAG3WUhnr}%r7zhJKU9{?UtC^sSJSru*^6$;mG9)5=D?U}W<~Ybx_@9V7P5mPH z^HwC`0@I8WP1r(Cd!8*h!oEcYzo>9XF*PR;!t74$7;I(wJDkpk|6aePJIe>X{Jtr;e{?)_9|Ge51ZJLBx@g&1*H?qudf{5GO2SEFa} zrkl$ncP@_4s3X&-v|e+B&02ZQ=iqQ=oKsXZ4kZ5lRMzEPUAdpb|AnPtb$a_BpTi6a ze(El{K#Jb9!bOKAYM=oP7Q!WrVmA4}N+Lqi*lkGRhw|5i?EO6FlN8@VwTql|ELaM+ zv&H;TjBX*NScFn6gPv(hETx;N#nJR#%Z37iK{aF&@ZG-OxFqVDyjpD8`XN8n;f5p1 z+QTU*vcfHKHt;35N{xm42pIkXV!kASw-CP+Lv64YQ*1qA>cPm^qHQ&pO z!_7!!K(LKSE>D`$)EgG0sQuPtxn4PVL^|0}s}C&4odLI8Wv14Y*>}cuSU`aPtxfFt z^vC=jYA<9R78=5UiX7JUc~EtPL6B!soU3?iNAJM!VRMfI_Noqnbx ztXpK+3R@$aJm5qtu1IYZ{Vz?H&n?!mN_wH1eg+(a_9~kMp8i-UO`eG)Hoa*BX$dca zD|pz;tQFP)9_5i7J*oyPcY`^eTw4w4SvM=DjkNSK8^zn)QIT`O|5YoA5r?2R>+GLi zUOjvnAmXQ2nKHKOQ=q~pa!txVE(_?eCS&uqvm(wGJYYU8)VFYzQ_6^n)0XXzMtbXP z<}~yvh?|`K))fh+M%fTlD>Jj?lJDMr7hnqJWHwSZo8Kz@dqY}dmLD-6)$#Iup8xHC zNlbUaL5KA&qGw}EDxQ`$t&doj6aTm7dr1*RLw;c(9*}%r;hS_{Tko;9vxDmS=a11f z#DSwk8iCl+6sumu8hXrSO~VpYmw4?L1vB~2CZ3Mo&d%2y1-;YPBCW$q`+K;qzWh;M ziBWVUr)~PK$?joCjHAFFU98<^?&}~9y&g&E()@0&MZwyfnCZ9o-eK4v+kFo!hdY8n zynY9frm`0LQ;E0^Luu=m9IhXIF~2vH4$r=VG31#bEGW5DKx1Xk4yWQsA&*O`xFlAz z>88vEE&Qn=wIw{#X!uhj@B)NTw&R3O0?TyXg%jvI!9Keri|gy1-RWBp)f=v*7*Psg z5|l38e<=Z|F@LA`GW4kb1Rjy*$L0R+_2&fX!>^r;Qz{KtZB2dGF}x-oXJ^kx zoE@giMopQ_eqwGN9L(H3NrEpC2%+%NhtT(POd@E#S0y6zuL}hIxLQ{S3iIJfKl2`} zp^QtW2EzQevPE*(Unj}6#uz939bw*etKYkwvF66=FHD&8J3D6z8T=E#W}h65$-R4v zb(sBtg#Zg@Y8>n?o5B*=SVdjb+@01rING_Ug9)JG64PQ&!XWI2v5)k3`ssce5I;Sg z#I}+zv=vT~@_d7?=z5~?eDr-5LkdUL6KCezoI)tNA7*8S9Y#EKj&0ES@f5-c%jT3S zK!wO)Dc>Mc%Q(=^gzZ95BiumCEx4T31^Cu}K|}6=b5(Q+B5)8<)B-}lt^T)?6%-L2 zFA|{VdM@F**t=Qr`%jJy75|*Hf8CKC30reEC+6KmApk+BuYD!HHcu|#F@4OG`pdva zDQ}@pN|IHdr2F;;N0;QD?T;ILy|*8-W&S*BogJBuNnM;=QK~w-{Ku<%7T7X@PC>X? z!ET?LANc>sYTxow6g<-<0lm`6Fzj(D|A9#K;rF|`i|YAWRo#rsy_a1#2aL7T58GAc zUz?fHLK-C+U||XJW}=4kDVPMW`nan-{=6_fFIpqjn1n#IbM7L4k}r_%+_~FfDA3Z5 zhTpTb(Y})R+X@_|jYR%eGdEPA)gtJ|mh_bY84WZn=<`T+vW9V{(YM1F?DvRmvq{jn z?!=Z}pty!e6f}6hZ@0u4Ok(6Rl%-C2Ldj&qD`-=+dJj5Y z7=Idl_MaUXw8I4L)8oi!7 z#Rxp2m>X&%tIq!umZNxK%4xOKm^!&Nl)?(UT5Yo=6z>+w)cfB{xnIwcd&X1fnv8O=?os( zpbS!%>L}6cVXFK96`6=>95D#m+@A_-5v-@REE%Z20ddBTf{NM!~c3!AvJn-j;HS{cD zrqif$9ikS|ED>X4L^$7^ZGi;JC{rm?*aEeHy!%THdkb7L!}z9Ono?{&IjTDrc53Qm zxkrCmm^}|t`GLTh) z2`q>bB8WlR8IbsE~m=C4b#Rw)x5m0zMF5@;Ek zkp@@kEM7h=D-UuZ-|)LCG(eMbsz|$_)%Ej}*`ARav*@_&ZY?DZ%%Z54D}FMwoWzWI z)G#o`i9Ez1zNXZiw)zfdZCFBHEG_P4jl zHA*nf**@auCWA&nV0}oS%~%PM{P1_FAI{v_5HreYwa3MuaA&d6XRN7X~Afu#>9>10KY z*KiH-dt*GK_;f zWQxpw@$!OWf%M3b-?vrVR-e(E0_N-Cgl3ml$xX}mT5dh(uk3w%@pi_PaGNOU(lGWW zm~k#SnX~v;;+w*4!{iINJ9_mts2$&XrlQL+aNntK)K{Rud=)5XK9kh*xoWGOhe7KP zHPPi;Y&Y-Ea_Hljp#3XRVWxNQVxo!34RWPUUjk5{4fDWoYys3DD{fe>e210_bh>gRV09pdb0{gt_y4^gP%9G5MDWt<%S>Z_uVBa2 zUz?GP`fW921o=yG6rzunI2ri2Ou`L;(bIOGm66gxy&THOXjl+qNNA!xtD_dq-=_3= zq|zk&^YkcAW^Iu-!lpF|Xu2YDUYhVyqC{)Q^O}?3xU!u6Fm)A^I>7|Op$Zl?&gz3w za zgR~u0)+?X>47{#yg8Z>kFJ`^moroWbIcv@D_YmXN3>qt_KfAxil%CPWOEhQB)WF?y zTzJm~a-lF`2?9sbeS;mA7|$_~3S=*H8r8~1dsyu{-xr2N^(hBkRLzc9=n{OOnx^@Y zEr4%&9yc9b?WG{e@<^ItKumqP$&i=T@p*S@Ir z#+~qmU;|3cJgPi$VPJHU&I09n>g*>8SX3Q#N239OfPt^vxC)k~c9MtS^V_i! za@KCHU_lFhxy-sYGsKBe{Pjz&|FsP}(*`K_HN~apM>79!idgx~ht^DetztI+uEhGG z^MvOpE1SK*CcJTgO;K`vlD_ytCRP{CrYx8J`rVK!5rEm$oK|1IKl**_jRq|q`+ zgl$mgLyCf})hXIXhlxICP74_acspNrx^R&MsV$ArG&Fdjha#&(X9tP+Ntw zzjs*sA(O1YIgM}IaaB=@r!ZuuYV)jxvH-Bzd>iP`gQVWSHQ~e!IeQ?ef#)zob2UFz zAWe><&#shkdN8DEwp{=@*j=#N?-B*c;Q6rX*0W{zSDw*+b0w=w-}KmdlxJfefW)X1 zw@7T`qswlF-l_>o`u7;EB^U+2-9AdoCgT&__ny|W z8G1jf`_(^}f=#EuOtVjB7X9SSi{?1E6y7NM-+yn;nvxYiejCoYY;ky&xMI`jC>Da; z>IL?9O1O1Zdd7};X9ZGUmhMOcXaAu0FGGc0rX~2zn8xf(Je6_nIt+1%=6SUv3pyNF7CZ7ng28DNc>hLb&e@kHYCVXt3#>Fa)E^i~QEG}H0Hf=*h7Bi*LY@w<%vXOI z^9FEYOUyJ?lgxBO7P{X!tl2`VXuQ2TEoF-u^y z03u^uM53)BZriVyx>>kB-WD7|3*?S#)e5X6;pgm2&o_x@F72arY`5lA)UGj)ImN>@ zg_Bjmb7Vn+p)Rk+K2WxY?eeYm!c14T4>~%~arP_bv^%zQdvwUPSdG{kh3Abb z#A*uH6J=PIPcaEXj)SJ0SIKT0qeL<9SbK;$MN?(LV=w+|y<_Ln6xvGBdJ>;gHs z4f#Puotm}9sr0V)dXdkMoIR9%hOjRqZu0K?USlqx!UcBu#;p$6?i*=r&h--c?*Eja zKkxWyNLw0{pZ&s|HItj6GF)BuEl(kk99QoKW@Nsxd@%lHgHll5Us=2K^OYoo9!md? zq8|*h0$<OXcSOu~fG}D>N&#Il44u%_$ zzuqAG1Np_+(?fbSdFmN)gRyqER)`|a9|Gs2AKX~4M`c>T2_d*&l()8?x>#?j3~^<+ z2BK2y7(R)X0_XyH{o^-6T1}6C>ok={S6hE_bd_k5)pok@mNWT%jxV)O;V6d^$hkf{ zvu^(Quram&cV`F#7xL!f@*i3-6Ri-5H1<(7YeF@v`YbMQ6EsYqiTkvTJi_Y1`l z9QZQ?$HS7y?05e@g=JGCAus7 z)^!{^%TM8@o5}XePlcQxId@gk{C7iG*Go$L1UNs zn8&aO4+a#3gWRmKzH=N`ZK^5?wI!;WGJQE3??KtB*>j&(J5MRgub3plc33gQqK=U^ zev;q6*HYW6qB2#peconqS1_Q)1T+y-x;*FGgI_YsXWXDZruZZnjEuBqW&h`+Uo-`X zh_%twv*hX^3~3&*P^fMkm3yp@^*?_hVpjs3&?;gOt%I~ml8o0_K**|}*0QBo$p{ra*f!k>aX8ZvZ-ov|}cKJ6+sNSp({vxvz=;t*r_r5E<JiIli;>4CSf}YN~`*E1T>Sm|TA9(elq;h@eFE9iP8yyW-erk@8tYnu^jr zac=*Zqo;h;hTQ>4_YHr~*yYgkW#|x}v%ekNB0jpjxyZViMM!1;C=Hl^tTBrk2P+Lf zxWBmijZ!9{N4~yV+HT4HR1q}Z;rO$mwI0~GK^76lSR>ObWp{Lz1-gLXn*mH3U zIgnX0c8I7LqwyK_AfWpbgxdLkuGO==1$_P9)4r9BuSB3s7j6lF@jN||p~>o1k_0~` zcq-U3HlRs0IKF-kU@RTEomI1fcQ%P|0`05wl5jO{MvzGbMznVUK5*QTXvFvbVR0K< z1WEoc6_@?Dr%5U3;`Gcg7z+5K`W4Sq<}vGtrui)a7{$EO2I=y4g|m=n)7CnD92n6@ z$vvS+^AosP<3m9On!}Wb_>H82X5uif!ba8*Z#pvB7bO8Cx@Q_iKfjLi4bA&IAKT0c zSt5J0DLX7kpfVW6ZtGFaEF#Xyf2jx7&hp$tL`XKE6GYElw8`|)GqhS2b+QJExu~zW zwdydFl%{ahIc^>9CJH$KV!?AMz8`9*F$>a@aO6Y|>7P5veZ#7B6^u2FA39tGowiyu z#bF-rX8Pr-=7Vfzo$;b7CHSf--_N33-hKHQ)ne1XVwd<6^KMvuR+%BI_hGv-Z3a~# zHW?mv;rJk&fdk}=`#DT9=ASgymZ!ftXz|fVWYlbrYDzC2x2`SOAU#7#%hU$d6#5%M zsOe)!jdSTv0qGI+Fmz0aO^aqMeZnT5x!%Wb@c!|J=ejM<0&K|Se8Rogex!Myp){6H z*{jZxO;Irx#(*w>?oUKCC(cv&aYr4SUS$X$O@*-0pPU$uYq`(Rt>p#)gtvIhTQ~op z$1eVuf%$;NA&}a)<3?Ox5*%a0kN(4W%7J3{kqwvY+OsfgaS}g*Zrf>`N^&VV@7N-` ziB}`v1^P=V5&rCx1T%v>PEn3WZP0J$GkiliA z>o}|*XOnf&K*7Y3w$4DlRQ>$y&mGKW4Ak#poI&uq{cX5>Ya@+ zn-4aPGO9+>i4qIS3_0JPo(ovPa}cm|o|7TLKc*3C?e?ti!7lxS9O>%tauKQ`^DnFJ zJWh`h?j{)TuG4UAQB^J{vpLDie&hV>FhZB_yO*$aq4RVU{trLyuXX%Xs&T48R-bWm zpbt;2fuR6+wkC65=d90tuE~8Zy^Z=9Am)Q$E%TPgI@icFYvRB&S-BDqVb2ZH>{>1C z@Tw#6SjIF9#xwzV>2_0bUUgaT4YJ$a*q^Brw=Od?T+rctcCT|m=b*)TN30W`HkL*_R?-(r8y;NVoU`O9t% zV}q{;mC$J-Npo#S-ot2;2uM~xcXiceJwM6Ze>3WdI%Gd~Zt;R)mN=icz0q~TbRp;B zei1x-`fIvOteg7`7V zJo1V^FVqaoy?le+uNB}16Ns0}m5^%L&?PdGK+X~kGLhrPScDg%&nFml9>9tyTH6_h$DM>!SP_fH=XhS$ zHhcVO?%pyJB6D$8X*ZkLjv1w2Z%F_=Cnach=b?TIw{G1OwY?Ms z!!uAtUsvVuHdi`OlI}zUQ960nm-Pp*-)tTs42d`Z522(pqkay1f&rJYOP;J1F`20mNi(R_6%- zY8)i9)Y_A?rA+wnCm24xc};*N!z^C^#M)YKtYr%mZX!ATX0#ECGgSTUF#IpCTl1b4 z@A*BOdbI9Z7S--d$}#;_M;=c<)eTn!_2_z;F9IYp5&=ttDIwbZl_Dphqj;hMMP!p-<7z!0g~glfz)4B+N`cy ztO#keu;Bt?V#7QHDu*B*T|QO@1}3}5lHaUysjn%Bl0}z*3BS)^{M4<^rK+VK^u`qq zI%#n6u8Qy$yD`5&Mbtl0qwPFO=PIPiQ0< zGQ@SOSfRGo&nv+&tI0y>|zT)pOtlK2l!i-vrKI+;YWiXP7TcIst-0X{3_h<7DFeB}}#-IcY1G-d%%WUA| zm*wxAT83J*npEe!=Co|+u+B9xbL>yitxw7pU(PtLwb5e;YWl$nMV~Fvz)*dYWl`{Y z6V4PeK1_YnUoW52SnAzeuE7b;VjZYgh5=g|Qx0|D!f0oGx8P6PQv0&+bbqrUoU1=x zn>!TFe#C60L3QecZ=-pY#2`M44iI?CYBTe{z#dA<8E2m`n#uD~zNhXdxus)2Fv>Jc zE}$(c3WNB|h-Gt6JiP|+cCl4_98{s~-mmWmTM?KrB$ouE%$*=-dx8||DD4w)W>}hWB%=@6RI;X|UCTFUhbW(_IA+h&& zL)`e_3ROvPjkL|O5|@~`&e6=@Hfi`SE+965eh>KQ{pyI!3=Ia!p0b9~>c}Sd)Ud3; zNm_Zyinkn-wNWeyK~?6CJFxlsZ661ZzB4i} zx-qs#(acHFx14hYJ&3Ob;nkmZjs$x+29#h8Ni$vAVIqy;p_Zj}y7tMRz+VT>q441{ z*%jwB37QS&!nx^EOv=~@M}m!H@y8Scjz*%9m+x$c{*|{@Up0+^@`U)UgtQ-nCQ}cV zgt623yhki0*FHzLw61GMXA7TqbxjIYmjkmUR6V6Ga=pR|@letbEnfl5onYI^eNcSU z(a=(=^wqAfwo#dv{`}S*cO@-3nb8_IJ0dUc9)v#7F{hj=(23$@QTnf|BWvFUZ`FWBr#qF(Q+fXD`h#vOqaX3P$ zD>F6IUNcQZ2*-`)^pW!nzfmA|tmRj0zt3QuX6^$cEYuBTPngpv}X$E+m^CD88#&WFb0^~!cio? zCYdS2%(NwWUbX}ffZIS=)=d4gWnv>tp(UoS<=jyy%yFoR2x3jzs zyBVWc<(sMo5}oQXj?IJQ={}bhF~A@Wz%y;;uVU)G`A%0i5MJwHup*;L;hdX4u&Fng zcah!G{8;XC$oDv#1#k9SJCi6^Ieu&KMSc9nMv%Qc#g|aEQ_^3{Kf&cx@iU#msh@_u zRdo5-j%Xo_rn%G!_KgkgV&X0iJYp-2I4%N*b_9z}N05^0aM~0ijl#jdzHgY+PKcye zRd|`M?y^&PiT(Yc^;nnGbJQD5q|vBCk55S0=wkJML0asGo`tHcP}iz>z=H)mTj@kr zT|ae{xeQDxCTda_sIpM!*}$a~KyE?DpH5|bw*zwHhXQ?iE5F&ig;hv(#!$mSS5h_y z-2k;MN=3L}e}TGgJ{o|Su)>W`!#=AeOG~?o^P}xGnd_3)cgL zcNmI&@C@R#@LJ`r_u%mmhG)l74C)&Dqu{Fe|QneANg#z-%+0<{UDB zk5!e()?K=;L9;9Nbq{^|Py)eW_P>@F$IjF^kwwhZ4GhL+RIuODPxm=INl%&Hp4dQ_%Wq2a!t8ox zyjb)M zN;KkD=LTB7Vpf**udgQ3z5-ZA9wkd&XIcdtM%eV94G9}zRfe;Xz32QGqyk}}454^9 zV92{!!&>)PvN&2@*VO3s_#38V3$$dfJxqE6vdaky6-jP|4Oc)|c%~!)HhOrjZ}x*} z2E^^ZxIxvwWAdTu9r<(?{%1BKW%0p#^%u+;9Dlx?x2ZG9Rzn%%U9K=`w#f zC2@ZnB;T)gF*B-Rtc-J$bro%;K~c%iU#)EnucZcsqDT=2CKVb7PYUj)$v=h6d!T6Xe1 zf4J^FC%gr-s^bku@_uh8!QVrT4B=le1hA^Dh!S(ImmKg#B+ocT-G@w=Y^CXV; zz!@>4m#gNCLKtQG1@!uX2Vc$Y=r;*542<>EeVUuB)V?5vN**Y!R@$d*u$zH%uV8wY zrcxnzGX+E@t7cDzS_&@tPsDh_n^gJD6qpgOD2T^bbSu=O|Eac={X&ik)7UmUXqGnW z8}sIjfdva>5s-)09~nt0BDZ(I&T+Z+;03z1ZRhUUGq^jpw(lLDZ-Qz%RFN}vmc{nO zc4U=nig9XBPw_95K0bxV5E}s*&iEHylO2xG+LtZ(Brb+hp=yRR)|895ag77(AsAzN zF&!~iI&F{6nSVqRJw`Ksy;pKw$7A#V^~-l19?WiGTe_++eNa`jTxQAdmPym(0Y$Yi z8;Z4zYs<(N`tfbT#<6hbK~RJI);R`bJVJJ|OfXT6bo&00ChrbPxZdRYV%^2rQ${S{ zHINI;fr!s=*rvbr{hp!i`?gJ?^X{L;$6lEYc16u`uRFTx-%GTkpXA6Hai%WsDWf5` z_&xXwUEoN<8JM0@RM$ICQ#otvL1HuxON)L9{Dd>?(Ne$S_o3}OZN9y2;_;pVTaRKg0r1V= zbT>wrs3;L^2*N?0b&%XZz0)smmF;JEUJT1xoMqWhwjJI71(FBAU*2r78x30abW#Ke zJKM-$TR&eMJw1OF760(=0cbn4_cs2@*h8G|s?Fb};Rt^@Z576XI`885=3H?uCQI1f zwYiP92LfT0|Lo+@zX&D1uPst+H*5_>{PvO{XMMum-bepL0e+m0&u0yLwE=lZdtE_V z5o*URc-Mxs|8A<;by!1z7RPBJxP4B~byw3d@c7T}a}DA)zv<9g|EaQ5w+I?!{H5UTFztLvU#@Z|x9 z(%60GJpQ_Uo70Frnbk-yc`Nwd@k|i)8}rH^{{D)s^KJ!_&TR~K1lsM%&W;Z( ztg={ve5VI{S^X|EnQs)|>X|i9(nc??uZ5BrErf9M>AaOei=#h_-v}U&K-#-LVj@sT zGLR5f&I5+{y$*bk5CHjQ=_neAY!T6)c-fgBZB51PxuKfkV9p$%1)1@}m*sb$y#k;)PuRhh@-}y z+O=G6l~^T#mcr$ea6HPj(5I z4YN8OhbaW1&!W1R%a7Q)IwsS?W;vv0?js_no?O|`Z({qqzL*Wv3WgBkYP=OLox#_M zMTzM8FQ9ldUi@5TpG5d@63cH7EjY5-CP>1Lp?>9Fgv#S}m{8{ZsE&0TqKroCu$amd zOWHh?=oMmfB+toadWk?E(<@Ndiy?=)#xJ+a$h2{7@B#f#^?qmO6xnd2?z4k87QwXQ zeibgyb|o@(5}h2(vIfTrD$H%?+;a)RLw&CaZ0pZtof16O0LE3G zL{6nI6Oc_WQeb928H^}pQ6;5d?3u_{96_X^vuL&Ra*Qcy__X|D@oso~PC(=sHs;+q zt$O@B+In{t1g-ixxcrD`OHkX#g{fnaK0+ze?_=dNZp?+B98MEeF{nzk4yyVwlp^SH z0x99b;{YySgq&A;77g^uApbhY&F$+kVu#OfE*qcNBH?P=3T$;GP-#bN!Hce+!Ws20 za0wto#{qqDX@ORaw1f5#XmpPeF5zlJU={mvV8Fk_Xp;=_A%|#vGuzMA)inmO`lS#M zDvaJETk;y-CEgUq4+7elDh@#LH@^W8lm8EUc=|y~Gmi!}Ba#_7Fc~nq1W_Pk+}H@P zMU+56cG|T~Bgg^Mk{hU8-bGA4Xf$oKXfbRvmj3d1T#Yxtkk2{hsw4>ql&Up+@nOLL zBGDI&GKz8o(oHwZ+Th>t7D{l5f2f#s9dsbzi7Y?nA6ryb!(c->#?g*aCf@p_j&5vK zfh>nj5V?WQT7w#lLzH(V;Me_Z)_G6s$%v3l7pcKNMsXe3_VWH^)^69QJfS$gO&-|i z9*<(y@U6Qj;BIi3@Jh|P;be*WNSRH1a>x0jT45xR(^?9P6o)7FV!w-3Q)_dm0260s zyY7S}L=-J{`1LpyZq3>63Ah(#Is-sSB{S)v(OGwH2PHRTaocASaMBbsY(AQwL`7GL zR~ayw(}o%`6`On%3_Gvjp(|7SEIs?L6K10Fex;@GRjdS`|J}u?x#RB%4K3LJ)7n>t zRT*{LZW;kaN$Hf5R7#LWKuStPQbLgKPU#L2K{_M^=@O+;P*S?P8>FP~-1j^8*SYu4 zdG7v$JZ#@s?_6V!Io5jT2sgazw%3BSKbUbv6oOA9^WdYjf&wmBrl8gzr0xEALaJ9K zM3~}e)9D{WvwF%_!)&1Y@0A3m_=nh4*%$=l5?be4L`9FT@YVUw?uv zJhZFpwI=qX`rk0Hq8onk-9n&>Htu>huS!Cg)@yx25 z)lI5@GT_SPDfC%QKo8{;QG4{T!`7#h@L~+CjLJ9it7seDOQ;}F6Po7cCVat7^@5wY z>y^-l7LCUN8gGr+>uv6UZVb(R+&YML?xa_4$iHsK4gG2KuNh0!586(wUY>*f5p+l{ z^E|PsUlrMH$rnBPOq?;fa&$9R8eULdwVogIg{^!&n+jqE9j5oHv{!YKxU)w!lqz1=eS0HRgdtjr_mV$W?z4NTKRPD7;b`(yYoODg5gYn23qW(; zeXF3Jt#hZgvoo;ywocQom#z;>$UW4eGvSbb%?qvGrH#UgLw`I#>ZxcEuvrl{P;d&{ ziqyF9XTl58=vOW;R^1o(C#d_Ct1KLAA#rS@0A3^<~IPTE(SeWyrQdu!?Nc1)`-+8=~#h5BtN# z?xb==Nfu!oj~&6={zTv;18WR!dZ^jIm(v&yRw9a(Oa5!OPy%I>Y^(G4Z)qo7A!%CU z|7pe8^5f+U_5Hx1he!`ta~K3oae^LN0tHfCViZIo<14_5G!7rw$dg%g&##xH$#Ln4 z4Q<6c*>^)v{QiPt93|L2*#gcYU82BzvBiDXeKjov`JNcEgNNPWn(CDEsNUE4V2VF8 zGmSG1PU`RolIZNUq($FPisqW)Q78CVDQRSK9#g+tY_`x~;8pRduG_LX_hr-< z2#}E_!hdJZ)RC!dKIuQsoJZ7Fo(l`ir^^~}2wfGXrKDOXePF_ehKmIgTLC~H$E|kw z6&-UD^H<4|DH`sTl8hPWJO#f>^bA@5JhD)xuF8tN|60Z^gO}MsJqK+V_N42KbpBRT zt$k53l9Y#(i08x5fy2`i^bmQqbRwWjoFO#dq0qiW?mdIoyzKr&N#>Fkd5dc6p|i|_ zD-{ajtvJH>`ovdk_cAIf>fh9=Xo!wY9mYpROfl%qviJL$kHgOuvm_?uj+G7$hs3SU zch0S)vDREA1(<3d$GxvGdZ!j7pUqX;xF7IeOyc|Y!7NYq_xhc#B=Ky9Ul9bgmR_N0ww4q&&y7u(|;*w_nw zOQ7-Zn#EDuVqw~(&vv&HNpxYiTVh$XY8OSLpaHGG2&1gB8$fXL}qsEAyt%YN< zxcCOc<_Xvi@P^*^cLvX<(^%T1&i>zWb-CBPEXiR@^a5-zlMQlJ!nHk6oBl;QyY2j8 zEwM+G)wRVeG7~=Ou-(}+)_HLkUK6g6lhuW2(n)ki!#@Q{bm>X0wZAACT~pDLbyD3a zW!Tx%W+)`z_sr z_!f-(>N$Mb_Bh>F8Qh7Z®re<9MZtmx5_B_A-Eg|C|O3TPE!tfq|wqRED5_`A=T zD}6mWd$>Q9HA_V0xp`!UiV!_3IoOXYy{uXL7t^@u1-)EtXMJupdd$A{cRu$=Tx?JF z+1o6*WZT0YDk3GR9kxPtRL-Xk1W}3as_Nc*MXUMuXybsh`l$>PA*{ftCneR?8=B%-rH)mnuV+x0k_qt6bCIh43jmT zdouKDFuwO%lx`CLfgT((va)HlqooE-Yh%&T*S?;v)FjUvu2C*TBK_vdxa6@5Xg{DY z1ZTS2|73K?no@f@Sg-Z6=Ic^lisq>7V0Xp~M};3{MZdXJ`?+b+MT+4n!ek;Zzp=7M^h71M1AtrJUK&R{ItO4xo`e0 zlCNHs`-oiikPb1Te?OJMC&4pQg?1ycD9UAza&8e1v38Nl_vKzY3)`UnrV$5^%4NVy*AwH|g+-f)x<#+y86E!ni0jJbFYUBHe~;jGnPL<)fGxp5!cK@K6=>#Ujd0k7lMx*3x~DTA7ORuE-xf4%>TADG2M2W*eElmDvoEM9dxr{pB>yW#PIPm6@dSb5ZVMwH3K{hA@X-1is3Tg^*$0C=R(i6|y1g zL+tHS85#Pqv9+e88AOT;_TF~rW^K5t8fU<3VL~VS8h_O^)}2+wwXo9ccf8R=<-7vz zsW(In&Fk(EedYfTYfT!TRPY~X<>jIm`ee54H&0kyec)o_jYoB#Iw|U;UgKsG&uTVXT$#>7z zJM5=SOfhCqIwf3`tisn1!6bN(Hyl^ZEjC=o7tn}?eV9*nXG3yxk6o_9!$U|%I}6u0 zXApmchFu)@oyyx~2|X>g7BknUB)s*wKh;*Y$I--m|HAP^sRzx6v=8y0JN40?bRC9+ znVFdx3JVC3Zcke7;w7h~+_w^V->b4VS^kbeEHrfOW&eWbl+*Ua^D$`WW5aE&tQ=jo zJwLxc)+r62m^=v2#>Pg;)v=|eCCov#7s4(M4w4Y+JQXjoVa(nou5PGV_!nU0+u4~$bgmb((m z-49HszC9Nf-b{VuI5e_EM^8`RcA$vPf+%y@)(#8_VPIvw@%#60^79nXyQ2U;Ey zW+JKwM?->x>3Mk%%}Imcrm0&V5@$YUMaJ+1`3Uc?A;FUKeXBWVFPA-SH7RMFVd6vh zRw!QcL!Ry=_(wVio(lZ}93t`uk(>g_eZJ6W<&E;X^PCEppW0z(FuTtG#J=2nhV`7u#EY{P^_rl%ULJTIh>G zlm6~vdo)!9@qNuTXT05~sCP4C-wK1tD+#A==)izl^+~Q8Yj1{F%)x3O0~;I8tj{@z zzS}%T!$DtP-{>hm9iN_zOuMm|tceMuX0diqax(e62>7&o)(D^Vy{78#?;opoe<ZHfCQRy3M+vsMcg1`jW8Nf3x3sieT3IpLooNuX zUqH8+{uTuGVYoazJa!Ha1DllV>+7w@qy}CnG&C8QgOg)pyz7-!F6QRu2n1L@TTOqf zZmA*&lit0+rxc{Ukau-*l6G?wtgo+E(b5WCTYH0~a%5y=*!cJzFph>67KPU#Z7LV%PlKoF6phcu{(=m(F+(lf@*K2nR#-`ofV;5Q18~$>%cg zQdCs*E{_p<S#M}}X=}Mj-ZwFmU1>?1B3>THZ?jre=pT7uR>dld450k6$ir)qV zNaZN8g4b&V35UNfXGmP!9nDhxV%I3*-KT0s%r76vv9hxM>h4BYIqy>96I49{ALQo2 zK|+Mxzdb_@4UIKt>g51{o8Ctq(|&=g{C=f3 zEuuF~7_Gn>#{;HlWnzHe(dH;FO1qA2L+(+dH8%2eev+7Qwx?s%LQVxEPV{luXqb2i zmGjMQFtqeYlRfP?w0|u4SyM&^6UGa{>$!ac@uQ;ytzdg|uk(KC8$||^h&$xuIEb&F zC!Fu%<5L*eKjo0>XW*mVcH$*Wpb^a7Dt zSSY{h`2NF(1$a=1e;s@FYQ+^NfB#yH)E5;M+3znrL5Rmti;z?H4A!E2oQhK8ea1fz=PxQ>=qW?mjQ7e(u9nAYXCv!YwG zO*9WpyPG>`eDN3kPtb9rB1C)kYrZ##pyvx@kQ}lMW(iD%TWX(At9lx ztgN}peDF`HftZ%IHvRqkxSq#bEvE;obP4i2#_f2>mZMya|FV@&Nr{PXOn$?A#xEcc zqR3PvP*Dw`cFzFjJ_a_40V+GU|v>zJ>{J{ckYUM33|Z)V$aCp`|5F2s7rkWH-whCNFsu)QQ10k_MR)_md#jNy>XP1QE&0;a2{*WcvpTikL(g@Ri#iCe_A>- zrueVX{{HeC_ZXiG*i1DK7rj71c%L2i3kK{i{_y-e-l1G!vWIj4{~1Aw8!vveF^o$g zVB_`4paq^p8_XUR6%{`iOn#w!Bux8FFyUUEjp%7>lSB8VFn@nkh#O2(Q&a6h5+Wk( z$>ZZ=q2*b4fJrGSIoa8$j~+d`nfF||79Rl?)5EO313U0^TU{K7()ZFoeS@Sa5dqvL z`$5ZGcB#S~ zsyJ-Jsu?oQVDiq@<@vw;4jPo9lFx)hM4t{Gy>FVi&&C$`s-Oh&_||wOmiTs{HJ%D} zngdZqb+>Hy@3+;vAE>CSqaobDYqAXh*=<1LZ+ou}_xB~>FH=)f z$jAVwrsL-)!3jdOo~(HS$l&WPAfc;E391hR3lR=Typa?FwD2M`_vEI{*34D z{NLrSe+PYH`@fkph7?xeHlG)1?&BL0!f;73#T%{<b=PRP@HrSBYn2;4Y2ZyyPamszjT;benki&dSk4!F_@7x$7oe`CHMSPpzp}8g z5uV|5cB8z!T+nIl_Q2qvs+t;Vn6y7wpc=0I$x7lif2X`zAM0Y=9w`AlXm8i|ngYpN zU0nE09*}KqZ_h6-20&gjhA+oBMXwL$w?T?kRaKQ!RQxgh-PI7h1@ZCm(Xp@=qXcH= z(5-tu)z|BejhMYv)hiGQa$vGV1@v#UIcP4-Y^4jx8;X`4$DIS_s&d zM6Jy<5>)f`i1=VWv_U5QVsD_R7^$)Xj`bq*@9x|Yao6ohT4TM>#nl0`AucHiTTHAe zUyl-4e=|8zcD^E80zD7UzBy??=&#KGdpWShs8FmAfCG18w>8Ey)#yzDD6=+@iyMqj z6Mch_DH8zYCUr()VhGaP7P8N;&Q3{H)jJjz7O!5v#t;w?Ku1S^HSprP~B>}~K#Z2j>= zdeOe~f>|-i53()lcb9ER;Ol??{(WU@8zbs{1`XOo{VFRfC+q=h#wyM5ftba?6#)v2 zO-{B=PEv3+T|ChDIei@}osHRaAM6-SLZhO7!ZWsCAGjx%tCsZfW6ST~H-JVVi9CF& zsGIEOCAX%(lY)!sKe#d#J-sNnL!;S7@2{Zj0D$y2dV8W{Vj7(tt^>Izhz28Jc4UW7 zAZXbzO(AEj4HuC@g1tdQLzC8-nw%V-olT#VoZLDyL*3wUB&niu8xx;;YR!z9emaZ@ zCuqT()PLs=s$Lmpoe6G{1Prb1ytj!x#2 zXFBank=@t)qB3b~WfeJ?|E#UE69=K9p%K_8dXBfhzkk!G9r(U6Btko9=iy`~sKsze z*l#!bDnTxWx-=3{FHl` zL(W$?)0mn{*`4}`5R%{@ZFn^qMu^{P3_(GWf;o66&IXu4Q4V>g*2|Y!aNU}kn%Fov zNWx|_+Zfdrf}c}RfQ@)%Y8p)A^A80{ytGA&UX-?f;Lt%JfXc(;+dDoE4hq8P?COdG z1_`$Xf{@HFW=_sqeIh562wIRH?CtGYSXo>0lu{4~PEJmM0|G=dJbb7}5kqM2UA8BX zoD1=%((Kvc&NKxKfRu#=8&Zn~W`RJUqN0|0pC5Z<7?5TDJ3n7+4Z=P0FM{r*Mw=tW z2tOd2ifKZ`P|~%oZjF}G0Gk24h=j|er=vpwPKiK3jfgCj^}acMcAcp->stV;Ws+Vq zbMr7dsbD1WCMG5pblsu6g4G!8bvS9{O$z?zUvdriw8=7&@zd6ZmdL3m3G;y4=m+-K zZ{O&}#AvW?QHlehLo`FU19C%t#{$Dv9goq4>w~g!v9T&#(*UqR4(=WvY-(z18@Z}I9fO1F6d(+(n6-JV%_qRPEKECRgoehv30XRlHn|!aY zEP9Bba`6l}tv?)4&}#I01e_ill2voF_poSt#?x$^Ev1d0C_>X6b}xX#BWXR zH<6buc7364=^iHM3KiaS&)tTTDi{9*ImXriEWf=nOp6p*(bFYD#ZA? zE#|hDS#}9z;mwv#HZMdu-EB5VV*n`GeAaSu*pQ|9c07TB1X;rasva%WD1A2FC}&iz zHFgDPUG-rRiWzB;06F#R3yyt*LzAN+Z)(HRHdIn>0p_69Fj_G)GviJ|J?wVAUAqqi z$8yUyi!uK9-l&1^jnWijo@V_955BLnEiDpbn#a%k^UV6vwNKK7U6sdf;ow+Q=`zSh z6Upp<%FA1T7)SVRZCTN&RMgbS0I6{5R9J^(s6FWJ>1jEgKau#!^JGVR@H1w?gO7^V z85XN+kh+baq(#a^pq32{ywuUj0aXmN#}N-|`T_h9GWDY6g@u8&+eVN??@~}maV9cw zap6O(lNX&96&A)OBm}`JK@EZ0h62gzfa(lWdxV>=#p~BTD&!nCxa=gqt<>GqL(#nn z)2Ht2<8xUlnFd2U>JAhh+EP^af-xU2UP&o1`>=<2MTPtwR*f@D*ZvL51 zPf98$1dj|=OiYYU4ur7Vx2S~Bjg5^Dp+Z5!x+M*j>SGa+>JIFpvPOJm5SbCkZj#ct5j-iH?~W z3lZ4JpwuI){%FHuvZh%1^fTuDGwufuT7z#=?DhFx5uTsylAjqZ9$i%b&6HW%$ z+unp_sUc_++z%gG4%CIpQK1oK%M^@wurP}im6WstN)MmqvOE$LY@VK`(%08to2=!E zjEo!-G9nKTK6^Wq+l6lB=Mfd<;8wPAl5Z(mh@v-b*sjDnnu8Ppzxg_6=uP@fS)qIe0_w^9UbN&E@n zqnONl1IgWh<81OVL*-cUQQ^u2v;`c;Ko&Dk>&S|{8*W-sIog)l-wZ~*$Su;{-$C8W z<9Tdlm|g$r6Jx5VH+e@4jjX;twco@_!85T-BB)O;)j2s-yP$>~vY2l4{@$-#G+LrZ zH~?j?6gvsf>(5GlH4e-2?Alex97#@-SI8ihoP*yPzp%2xWMyVz!kgR(5V3}53A{=% zp)|P(?@NfeCrmM3}#861KriKPmakISo{Q0wmqu(3tO4({O zGe?&^Zw(NF2>kOie6PqLlMW=;faDJKHj#cvU|_*Ejj+p?vP%FEUM)xGrC)apd+$KR zN8aVhe!A?dVN?$BP4?AkodEbzh;c`>xzhPu3tDw=ee#GnJ^dweC^&#E0S_!W+589M zRMI2IJZ^&5P)@X3)I!?7v+^Cdn^vW1RC{t9tOgr_d}ARI=Fmg_9K_!-%@P7D?5XML zAaR)T#!wHFTc$cVIwA$9EcXsb{@`D)p+HDN!W7wE=eAG3()}^V-l-Src5dG*uX$%T zx342%W9fmT`kqQ-`oJqt0aLSW=(9S_HEF*eC>r!4B2*tge*EgX zOZ}f^4qwCaX2@xjVm`Xq_3Z5I$THBQ%@=yUmsEBLhaj@_08z6Qs1mG9 zb<{bo4&{A7t}U4MrC&;m+3LXn{eY+3gkbaaS_i00rjT8;cc zMb!FgH?Pj|u)oqDnI58}qmlCYehU^2Ef?3bMYbwnQsko^r{Hd~kIV{}tR=d2{zxfA z_^NI-y$y*APa;T=xP^g%0eU3i$UoI&ZbMXl+ZjBBoSdAvq$DcbO1g(1eVkmG{d=I zV;wyM0|Y7j){<&!1joCxF#upt@RI048{G$ z4j?!vum*z^qJRFxKtVzIud*!tPrhYpP7XtMPR@Q8R}(GBGe{;ZA%OzgxS^#buB)pn zQs>Re%ChKjmOgwV9sYrLCk__4v@u-X-TVKu-u2(A^Z)l@FU0m4n!j4yt5-q5=jjt= K=@Q9T{{IU?Hzij9 From 2a0ffd161415beb8b5b1eaa752a4664844c61b86 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 14:28:05 +0300 Subject: [PATCH 83/98] Update student.ipynb --- student.ipynb | 624 ++++++++++++++++++++++++++++---------------------- 1 file changed, 344 insertions(+), 280 deletions(-) diff --git a/student.ipynb b/student.ipynb index 8ded9006..ec87fb1f 100644 --- a/student.ipynb +++ b/student.ipynb @@ -135,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 311, + "execution_count": 467, "metadata": {}, "outputs": [], "source": [ @@ -175,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 312, + "execution_count": 468, "metadata": {}, "outputs": [ { @@ -303,7 +303,7 @@ "4 NO Average 8 Good 1987 " ] }, - "execution_count": 312, + "execution_count": 468, "metadata": {}, "output_type": "execute_result" } @@ -327,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 313, + "execution_count": 469, "metadata": {}, "outputs": [ { @@ -336,7 +336,7 @@ "(21597, 11)" ] }, - "execution_count": 313, + "execution_count": 469, "metadata": {}, "output_type": "execute_result" } @@ -354,7 +354,7 @@ }, { "cell_type": "code", - "execution_count": 314, + "execution_count": 470, "metadata": {}, "outputs": [ { @@ -388,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 315, + "execution_count": 471, "metadata": {}, "outputs": [ { @@ -537,7 +537,7 @@ "max 1.651359e+06 3.500000 2015.000000 " ] }, - "execution_count": 315, + "execution_count": 471, "metadata": {}, "output_type": "execute_result" } @@ -548,7 +548,7 @@ }, { "cell_type": "code", - "execution_count": 316, + "execution_count": 472, "metadata": {}, "outputs": [ { @@ -565,7 +565,7 @@ "Name: price, dtype: float64" ] }, - "execution_count": 316, + "execution_count": 472, "metadata": {}, "output_type": "execute_result" } @@ -585,7 +585,7 @@ }, { "cell_type": "code", - "execution_count": 317, + "execution_count": 473, "metadata": {}, "outputs": [ { @@ -602,7 +602,7 @@ "Name: sqft_living, dtype: float64" ] }, - "execution_count": 317, + "execution_count": 473, "metadata": {}, "output_type": "execute_result" } @@ -621,7 +621,7 @@ }, { "cell_type": "code", - "execution_count": 318, + "execution_count": 474, "metadata": {}, "outputs": [ { @@ -643,7 +643,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 318, + "execution_count": 474, "metadata": {}, "output_type": "execute_result" } @@ -661,7 +661,7 @@ }, { "cell_type": "code", - "execution_count": 319, + "execution_count": 475, "metadata": {}, "outputs": [ { @@ -700,7 +700,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 319, + "execution_count": 475, "metadata": {}, "output_type": "execute_result" } @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 320, + "execution_count": 476, "metadata": {}, "outputs": [ { @@ -727,7 +727,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 320, + "execution_count": 476, "metadata": {}, "output_type": "execute_result" } @@ -738,7 +738,7 @@ }, { "cell_type": "code", - "execution_count": 321, + "execution_count": 477, "metadata": {}, "outputs": [ { @@ -759,7 +759,7 @@ "Name: count, Length: 9776, dtype: int64" ] }, - "execution_count": 321, + "execution_count": 477, "metadata": {}, "output_type": "execute_result" } @@ -770,7 +770,7 @@ }, { "cell_type": "code", - "execution_count": 322, + "execution_count": 478, "metadata": {}, "outputs": [ { @@ -787,7 +787,7 @@ "Name: sqft_lot, dtype: float64" ] }, - "execution_count": 322, + "execution_count": 478, "metadata": {}, "output_type": "execute_result" } @@ -798,7 +798,7 @@ }, { "cell_type": "code", - "execution_count": 323, + "execution_count": 479, "metadata": {}, "outputs": [ { @@ -819,7 +819,7 @@ "Name: count, Length: 116, dtype: int64" ] }, - "execution_count": 323, + "execution_count": 479, "metadata": {}, "output_type": "execute_result" } @@ -838,7 +838,7 @@ }, { "cell_type": "code", - "execution_count": 324, + "execution_count": 480, "metadata": {}, "outputs": [ { @@ -853,7 +853,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 324, + "execution_count": 480, "metadata": {}, "output_type": "execute_result" } @@ -864,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 325, + "execution_count": 481, "metadata": {}, "outputs": [ { @@ -876,7 +876,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 325, + "execution_count": 481, "metadata": {}, "output_type": "execute_result" } @@ -887,12 +887,12 @@ }, { "cell_type": "code", - "execution_count": 326, + "execution_count": 482, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -919,12 +919,12 @@ }, { "cell_type": "code", - "execution_count": 327, + "execution_count": 483, "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAigAAAIkCAYAAAA0z9D+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAC4YklEQVR4nOz9eXxkVZ0//r/OXWqvSlKdtZPupBdoutkRGhoXkEUUkGEcQf0wDo7MOLiO40cdH59BHceZcRl1FHH8/EbUwe/4QWEERVoWEUGku2kEWsFON71l72xdSWqvu/7+uHVvqpJK6lRSlVRV3s/HoyHdObk5SSV133XO+/0+zDRNE4QQQgghVURY7QkQQgghhMxFAQohhBBCqg4FKIQQQgipOhSgEEIIIaTqUIBCCCGEkKpDAQohhBBCqg4FKIQQQgipOhSgEEIIIaTqUIBCCCGEkKojrfYEatHERGy1p0BKIEkCGht9iEQSMAxqnFyrBIEhHPbT41gHauGxbGkJrvYU1jwKUEhdEwSG3/7hJNxuCTvPaIVh6Ks9JbJEgsDAGIMgsKq9qRE+9FgSHhSgkLqXSKugsIQQQmoL5aAQQgghpOpQgEIIIYSQqkMBCiGEEEKqDuWg1BlBYM7blHxGCCGkVlGAUkcEgeG3L59EIqXC75XxurM7KEghhBBSkyhAqTOJlIpESl3taRBCCCHLQjkohBBCCKk6tIJCKoJyYQghhCwHBSik7CgXhhBCyHJRgEIqgnJhCCGELAfloBBCCCGk6lCAQqqGILC83JXljiOEEFK7KEAhVcHOW/ntyycXDT54xxFCCKltlINCuKxEVQ5vzgrlthBCSP2jAIUUVYtVOaZpYnA8jpFTCfzxRAQhvxsbW/zoavaDscVXXqhEmhBCVh8FKHVGN0yYZvlvqrVSlTM+lcS+P45h7x9HMTaVynvfbw4Mo6XRg9ee3YHLz+tEyO+a9/G1GIwRQkg9ogClxqUyGl58dQLPHxrHwFgM03EFjAE+t4ShiTjO2dyMc7eugyRWPt0oldEwOB7H2FQSrxw/hbSiw+uW4HVLaGnwoKXRi8agG0KRFQxemm5gKprByKkEjo9EceDoJPpHY877XZKAzetDSKs6FNVAJJrGxHQaP33mBB7e049LzmzDmy7cgK7WQN51eYMxe6WlkgHMSnwOQgipRsysxMvtOjcxESs+qIIMw8TB/gj2vDKKF1+dgKIai473eyTs3NGGS89sx+b1oaJbHHMJAsPDe/oQmUmDCQxnbGzEdFxBLKkgmlAwk1AwPJnA+JwVi0IkkaG5wYugT4YkChBFBkkQ4JIFjE+nIAoMm9c3wCUJcEkCBIEhmdGQyuhIplXEkiqGJxNIK1rBr5sxYEd3Ey45sx0XnN4Cv1fGL383CI9Hxq4dbXjulVE88cIQTpyMOh/T2ezHmZvCWN/sx/pmP3r7I9A0AwGfC9fs3FgwOLBXWgBwr7KUunW0lM9RzyRJQFOTH1NTCWja4j/zpLrVwmPZ0hJc7SmseRSgLMFKBiiabiCR1hCJpjE8kcCrg9N4+cQpzMQVZ0xb2IdLz2zDmZvW4WBfBLGkAlU34JZFPHdwDNO5Y5u8uPCMVmzuCKE17EMoGyhouoFoYjbgmJhOYXwqhbHpFMYjSUSTfNs7TUE3uloCSKRVmKYJxhi8bgkTUymciqahl/kmKwoMLY1ebGwLYEdPGOdtbc7buhEE5gQol5+7HqqqwzRNHBuO4vHfDeLFwxMwCvwKMAZ4ZBHNjVYwFfS54JYFCIIAkTGIIsPAeAwMDFs7G8AYIDAGJjAILFsKzbJ/BAZRYDh+MgpF1eFxSzhjYyMAwDSsbTnDNK3/Z982TWsOhwamIAoM525thiwK1h/Z+r9LFgv/PRvY1ZtauKkRPrXwWFKAsvooQFkCXV/eL1QsqULTjYK5ImbOG6ZpYqEHhzEGjyzC7RIhS7PbN2lFdwIDj0sEACiajrSiQ1H0Ba/HS8jenAXGwBiDIMz+myQKzvZNoXkA1s3YyZMxs19v9utUs09UoshgZr9++2u1AwCBMai6AYExeN0i12pQWtGtgMMlYu633DBNKKoBTTeg6wa0bJBQD6xvzeLfn7KGMcu82GqEVPk/PvUX1K1VblmEz7O8DAZxBbbFyeIoQCGEEEJI1aEQkRBCCCFVhwIUQgghhFQdClAIIYQQUnUoQCGEEEJI1aEAhRBCCCFVhwIUQgghhFQdClAIIYQQUnUoQCGEEEJI1aEAhRBCCCFVhwIUQgghhFQdClAIIYQQUnUoQCGEEEJI1aEAhRBCCCFVhwIUQgghhFQdClAIIYQQUnUoQCGEEEJI1aEAhRBCCCFVhwIUQgghhFQdClAIIYQQUnUoQCGEEEJI1aEAhRBCCCFVhwIUQgghhFQdClAIIYQQUnUoQCGEEEJI1aEAhRBCCCFVhwIUQgghhFQdClAIIYQQUnUoQCGEEEJI1aEAhRBCCCFVhwIUQgghhFQdClAIIYQQUnUoQCGEEEJI1aEAhRBCCCFVhwIUQgghhFQdClAIIYQQUnUoQKmQT3/609i2bRv+/d//fcU+55EjR/D5z38eb3nLW3D++efj3HPPxbXXXosvfOELOHny5IrNgxBCyMqrt/uOVKY5khy//OUvcd99963o5/yP//gPfOtb34KmaXn/fuzYMRw7dgz/8z//g6997Wu47LLLVnRehBBCKq8e7zsUoJTZ008/jb/7u79b0c9511134Zvf/CYAoKmpCe9973tx/vnnQ9M0PProo7jvvvsQj8fxkY98BA888AC2bNmyovMjhBBSOfV636EApYz+67/+C1/5ylegquqKfc7e3l58+9vfBgB0dnbinnvuwYYNG5z379q1Czt27MBnPvMZpNNpfOMb38Cdd965YvMjhBBSOfV836EclDLo6+vD7bffji984QtQVRWiKK7Y577zzjuhaRoYY/j617+e90Nie8c73oHTTz8dAPDkk08inU6v2PwIIYSU31q479AKyjL98Ic/dH5AAGDr1q14z3vegzvuuKPin3tqagrPPPMMAOCaa67BOeecs+DY2267DS+88AKampqQTCbh8XgqPj9CCCHlt1buOxSgLNPLL78MVVXhcrnwl3/5l/jgBz+IAwcOlHQNRVFw//3345e//CVeffVVRKNRBINBnHbaabj66qtx0003FXxg9+zZ4/yAXn/99Yt+jhtvvBE33nhjSfMihBBSfdbKfYcClGVyu9246aab8P73vx+dnZ0lf/yhQ4fwwQ9+EENDQ3n/HolE8Nxzz+G5557D97//fdx5550466yz5n2sLTeKNQwDExMTSCQSaGtrg9/vL3lehBBCqtNaue9QgLJMn/3sZyEIS0vlOX78OG655RbE43HIsoy3v/3tuPzyyxEOhxGJRPDkk0/igQcewPDwMG699Vbcd999eZnQR44cAQDIsozW1lZMTk7im9/8Jh555BHMzMwAAERRxEUXXYQPf/jDuPDCC5f/BRNCCFlVa+W+QwHKMi31hwQAPvGJTyAejyMYDOJ73/vevL28yy+/HDfeeCNuvfVWxONx3HHHHbj33nud909PTwMAAoEADhw4gNtvv935N5uu69i3bx+ee+45fPKTn8R73/veJc+XEELI6lsr9x2q4lkle/fuxSuvvAIA+MAHPrBgotEFF1yAW2+9FQDw4osv4g9/+IPzvkQiAQDIZDK4/fbbMTMzg3e/+93YvXs3Xn75ZTz99NP41Kc+BZ/PB9M08aUvfQm/+MUvKvyVEUIIqUa1dt+hAGWV/PrXv3befu1rX7vo2NwufPv27XPeTqVSAIBkMonp6Wl8/vOfxx133IGtW7fC5XKhvb0df/mXf4nvf//7kGUZAPDFL34RmUymnF8KIYSQGlBr9x3a4lklBw8edN6+4YYbuD9uYGDAeTs3w3rXrl246aabCn7Meeedh7e//e249957MTY2hj179uCNb3zjEmZNCCGkVtXafYdWUFbJ1NTUkj7OTkICrD1A25ve9KZFP+6KK65w3i61HI0QQkjtq7X7Dq2grBL7cCWXy1XSAU+5PxwtLS3O2+3t7Yt+3Pr16523l/pDSgghpHbV2n2HApRV0tjYCMBqltPW1oZwOFzyNbZt24bHH38cQH6EW4iiKM7boVCo5M9FCCGkttXafYe2eFaJfUYBkJ+AVMixY8fw7W9/Gw899BD6+vqcfz/vvPOct1944YVFr2HXrgNAV1dXaZMlhBBS82rtvkMByip5/etf77z9gx/8AKZpLjj2rrvuwte//nV84hOfyNvH27Vrl7Pc9sgjj2BycnLBazz44IMArAY6ufuChBBC1oZau+9QgLJKrrzySvT09AAAXnrpJXzlK18pOO6hhx7CI488AgBobW3FW97yFud9oijitttuAwDE43F8/OMfd2rUc91zzz3Yu3cvAODqq69Ga2trOb8UQgghNaDW7jt1lYOSSqXw4x//GL/85S9x5MgRJJNJhEIh7NixA3/yJ3+Ca6+9dkWPpF6MKIr4t3/7N9xyyy1QFAV33303fv/73+Pmm29Gd3c3Jicn8cQTT+BnP/sZTNMEYwyf//zn4Xa7865z66234qmnnsK+ffuwd+9e/Omf/iluvfVWbN++HbFYDA899BAefvhhAEA4HMZnPvOZ1fhyCSGErLJau+8wc7E1nhrS19eH22+/HSdOnFhwzM6dO3HXXXehoaGhonN57rnn8Bd/8RcAgNtvvx1/93d/t+DY3/3ud/joRz+KiYmJBcf4fD780z/9E9761rcWfH86ncbf//3f49FHH13wGj09PfjWt76FrVu3cn4VhBBCakU93nfqYgUlmUzir/7qrzA4OAgAuOiii/DOd74THR0d6Ovrw/e+9z0cPXoU+/fvx4c+9CH84Ac/AGNslWdtufDCC/H444/j/vvvx5NPPomjR49iZmYGLpcL3d3deN3rXof/9b/+Fzo6Oha8hsfjwTe+8Q3s2bMHP/nJT/Diiy9icnISwWAQ3d3duP7663HjjTfSqcaEEEJq5r5TFyso//mf/4mvfvWrAKzueF/+8pfzAhBFUfA3f/M32LNnDwDgG9/4Bt785jevylwJIYQQUlxdJMk+/fTTztuf+tSn5q2OuFwufPKTn3T+/qtf/WrF5kYIIYSQ0tVFgGKXOYVCIaxbt67gmE2bNjlvL7bvRgghhJDVVxcBil2+FI1GFww+jh8/7rxdrD0vIYQQQlZXXSTJXnnlldi/fz8A4Ktf/Sq++MUv5r1f1/W8eu9rr712WZ9P1w1EIvPrvkl1EgSGcNiPSCQBw6j5lKs1ix7H+lELj2VLS3C1p5Cnlu87S/1e1kWA8q53vQu/+tWvsH//fjz44IM4efIkbr75ZnR0dGBwcBD33HMP/vjHPwIA3vnOd+INb3jDKs+YrCRBYGCMQRBY1T4ZkuLocawf9FgSHnVRxQNYNdnf/e538f3vfx+xWGze+1taWvDJT34SN9xww7I/Vy1HsmuRJAloavJjaioBTTNWezpkiehxrB+18FjSCkr5rOkVFAA4evQoent7kUwmC75/cnISjzzyCM4880xs2bJl2Z9PkuoifWdNEEUh7/+kNtHjWD/osVyatXbfqYsVlKeeegp/+7d/i3Q6jXA4jI985CO48sor0djYiJGRETz00EP4zne+A0VR0NjYiO9+97s466yzlvz57BbAhBBCyEpYi/edmg9QxsfHcc011yCZTKKpqQn33XcfNm7cOG/cc889h9tuuw2qqmL9+vV49NFH550vwEvXDUSjqeVOnawQURQQCnkRjaag69W5nEyKo8exftTCY9nUVF2dt2v5vrPU72XNb/H89Kc/dbZ1PvKRjxQMTgDg4osvxi233IL/+q//wsjICH71q18tq5qnWvdNycJ03aDHrQ7Q41g/6LEszVr7XtX8htYf/vAH5+0rr7xy0bFXX3218/aBAwcqNSVCCCGELFPNByi5SbHB4OKZwrldZgtV+hBCCCGkOtR8gNLU1OS8PTAwsOjYsbEx5+2FWuITQgghZPXVfICyc+dO5+2f/exni479+c9/7rx90UUXVWxOhBBCCFmemg9QrrvuOoTDYQDAPffcg1//+tcFx/385z/HT37yEwDA5s2b8drXvnbF5kgIIYSQ0tR8FU8gEMC//Mu/4IMf/CB0Xcf73/9+XHfddXjLW96C1tZWjI+P45FHHsHu3bthmiY8Hg+++MUvQpJq/ksnhBCSwzBNDIzFEE+qCPhkbGwLQlhjvUPqSc33QbH98pe/xKc+9SnE4/EFx7S0tODf//3fl729U8sth9eiWmirTYqjx7F+VOKx7O2LYPe+foxGktB1E6LI0B724bpLurG9J1zy9ajVffms+Vb3V199NV7zmtfg3nvvxW9+8xucOHECiUQCwWAQp512Gq644grcfPPN8Purq/kOIYSQ5enti+Cexw4jrWjwe2RIXgGaZmBoIoF7HjuMW6/ZtqQghayuuglQACAcDuODH/wgPvjBD672VAghhKwAwzSxe18/0oqGxoDbaQfvkkXIkoDpuILd+/qxrbupprd76mKro0Q1nyRLCCFk7RoYi2E0koTfI887q4YxBr9HwmgkiYGx2u59FYmmkVH01Z7GiqIAhRBCSM2KJ1XourngSb+SJEDXTcST6grPrLwMw8TETG2exbNUFKAQQgipWQGfDFFkCybbapoBUWQI+OQVnhlZLgpQCCGE1KyNbUG0h31IpDXMLUo1TROJtIb2sA8b26qrKocURwEKIYSQmiUwhusu6YbHJWI6rkBRdRimCUXVMR1X4HGJuO6S7ppOkF2rKEAhhBBS07b3hHHrNdvQ1eJHRtURjSvIqDq6WvxUYlzD6qrMmBBCyNq0vSeMbd1N1Em2jlCAQgghpC4IjKGnPbTa0yBlQls8hBBCCKk6FKAQQgghpOpQgEIIIYSQqkMBCiGEEEKqDgUohBBCCKk6FKAQQgghpOpQgEIIIYSQqkMBCiGEEEKqDgUohBBCCKk6FKAQQgghpOpQgEIIIYSQqkMBCiGEEEKqDgUohBBCCKk6FKAQQgghpOpQgEIIIYSQqkMBCiGEEEKqjrTaEyCE1AfDNDEwFkM8qSLgk7GxLQiBsdWeFiGkRlGAQghZtt6+CHbv68doJAldNyGKDO1hH667pBvbe8KrPT1CSA2iLR5CyLL09kVwz2OHMTQRh1sWEQq44JZFDE0kcM9jh9HbF1ntKRJCahAFKISQJTNME7v39SOtaGgMuOGSRQiMwSWLaAy4kFZ07N7XD8M0V3uqhJAaQwEKIWTJBsZiGI0k4ffIYHPyTRhj8HskjEaSGBiLrdIMCSG1igIUQsiSxZMqdN2EJBV+KpEkAbpuIp5UV3hmhJBaRwEKIWTJAj4ZosigaUbB92uaAVFkCPjkFZ4ZIaTWUYBCCFmyjW1BtId9SKQ1mHPyTEzTRCKtoT3sw8a24CrNkNQywzTRNxrFK8dPoW80SrlMawyVGRNClkxgDNdd0o17HjuM6bgCv0eCJAnQNAOJtAaPS8R1l3RTPxRSMipdJ7SCQghZlu09Ydx6zTZ0tfiRUXVE4woyqo6uFj9uvWYb3UxIyah0nQC0gkIIKYPtPWFs626iTrJk2eaWrtvVYS5ZhCwJmI4r2L2vH9u6m+jnq85RgEIIKQuBMfS0h1Z7GqTGlVK6Tj9v9Y22eAghhFQNKl0nNgpQCCGEVA0qXV/YWtvQogCFEEJI1aDSdWKjAIUQQkjVsEvXPS4R03EFiqrDME0oqo7puEKl62sIBSiEEEKqCpWuE4CqeAghhFQhKl0nFKAQQgipSlS6vrbRFg8hhBBCqg4FKIQQQgipOhSgEEIIIaTqUIBCCCGEkKpDAQohhBBCqg4FKIQQQgipOhSgEEIIIaTqUIBCCCGEkKpDAQohhBBCqg4FKIQQQgipOhSgEEIIIaTqUIBCCCGEkKpDAQohhBBCqg4FKIQQQgipOhSgEEIIIaTqUIBCCCGEkKpDAQohhBBCqg4FKIQQQgipOhSgEEIIIaTqUIBCCCGEkKpDAQohhBBCqo602hMotyNHjuBHP/oR9uzZg9HRURiGgc7OTrz+9a/He97zHnR0dKz2FAkhhBBSRF0FKP/xH/+Bb33rW9A0Le/fjx07hmPHjuF//ud/8LWvfQ2XXXbZKs2QEEIIITzqJkC566678M1vfhMA0NTUhPe+9704//zzoWkaHn30Udx3332Ix+P4yEc+ggceeABbtmxZ5RkTQgghZCF1EaD09vbi29/+NgCgs7MT99xzDzZs2OC8f9euXdixYwc+85nPIJ1O4xvf+AbuvPPO1ZouIYQQQoqoiyTZO++8E5qmgTGGr3/963nBie0d73gHTj/9dADAk08+iXQ6vdLTJIQQQginml9BmZqawjPPPAMAuOaaa3DOOecsOPa2227DCy+8gKamJiSTSXg8npWaJiGEEEJKUPMByp49e6CqKgDg+uuvX3TsjTfeiBtvvHEFZkUIIYSQ5aj5AOXQoUPO27mrJ4ZhYGJiAolEAm1tbfD7/asxPUIIIYQsQc0HKEeOHAEAyLKM1tZWTE5O4pvf/CYeeeQRzMzMAABEUcRFF12ED3/4w7jwwgtXc7qEEEII4VDzSbLT09MAgEAggAMHDuC6667Dj370Iyc4AQBd17Fv3z78+Z//Ob73ve+t0kwJIYQQwqvmV1ASiQQAIJPJ4Pbbb8fMzAze/e53453vfCc2btyISCSCRx55BHfeeSeSySS+9KUvob29Hddee+2yPq8k1Xxst2aIopD3f1Kb6HGsH/RYLo0oCWvq3sNM0zRXexLLcdVVV2FwcND5+z//8z/jpptumjfuwIED+PM//3Ooqoq2tjb88pe/hNvtXtLnNE0TjLElz5kQQggpxeipBDKqju720GpPZcXU/ApKbqnwrl27CgYnAHDeeefh7W9/O+69916MjY1hz549eOMb37ikz2kYJqLR5JI+lqw8URQQCnkRjaag68ZqT4csET2O9aMWHsumpuorrIhGU5hyi6s9jZIt9XtZ8wFKIBBw3n7Tm9606NgrrrgC9957LwBrRWWpAQoAaFp1/lKRhem6QY9bHaDHsX7QY1kaXVtb36+a38xqaWlx3m5vb1907Pr16523p6amKjYnQgghhCxPzQco27Ztc97OrdwpRFEU5+1QaO3s4xFCCCG1puYDlPPOO895+4UXXlh0rN0zBQC6uroqNSVCCCGELFPNByi7du1ytnkeeeQRTE5OLjj2wQcfBGA1brviiitWZH6EEEIIKV3NByiiKOK2224DAMTjcXz84x93eqPkuueee7B3714AwNVXX43W1tYVnSchhBBC+NV8FQ8A3HrrrXjqqaewb98+7N27F3/6p3+KW2+9Fdu3b0csFsNDDz2Ehx9+GAAQDofxmc98ZpVnTAghhJDF1HyjNls6ncbf//3f49FHH11wTE9PD771rW9h69aty/pcum4gEpm/SkOqkyQJaGryY2oqsaZK9OoNPY71oxYey5aW4GpPIc/oqQRGx6LobAkUH1xllvq9rIsVFMBq2PaNb3wDe/bswU9+8hO8+OKLmJycRDAYRHd3N66//nrceOONdKoxIYQQUgPqJkCxXXrppbj00ktXexqEEEIIWYaaT5IlhBBCSP2hAIUQQgghVafutngIIaSSDNPEwFgM8aSKgE/GxrYgBDrdnJCyowCFEEI49fZFsHtfP0YjSei6CVFkaA/7cN0l3djeE17t6RFSV2iLhxBCOPT2RXDPY4cxNBGHWxYRCrjglkUMTSRwz2OH0dsXWe0pElJXKEAhhJAiDNPE7n39SCsaGgNuuGQRAmNwySIaAy6kFR279/XDqI+2UoRUBQpQCCGkiIGxGEYjSfg9MticfBPGGPweCaORJAbGYqs0Q0LqDwUohBBSRDypQtdNSFLhp0xJEqDrJuJJdYVnRkj9ogCFEEKKCPhkiCJbsC27phkQRYaAT17hmRFSvyhAIYSQIja2BdEe9iGR1jD3+DLTNJFIa2gP+7CxrbrObyGkllGAQgghRQiM4bpLuuFxiZiOK1BUHYZpQlF1TMcVeFwirrukm/qhEFJGFKAQQqqeYZo4cTKKFw+N48TJ6KpUy2zvCePWa7ahq8WPjKojGleQUXV0tfhx6zXbqA8KIWVGjdoIIVXNbo42FknCMAGBAW2r1Bxte08Y27qbqJMsISuAAhRCSNWym6OlFQ0BrwyPS0Ja0ZzmaKuxciEwhp72ENdYaotPyNJRgEIIqUpzm6MJAoMgZJujiQKm4wp27+vHtu6mqrzpU1t8QpaHclAIIVWplpujUVt8QpaPAhRCSFWq1eZo1BafkPKgAIUQUpVqtTlaLa/8EFJNKEAhhFSlWm2OVqsrP4RUGwpQCCFVqWBzNKP6m6PV6soPIdWGAhRCSNXKa46m6JiKZZBRqrs5Wq2u/BBSbajMmBBS1ezmaMOTCUAQAUNHZ7O/6lZObPbKzz2PHcZ0XIHfI0GSBGiagURaq9qVH0KqDQUohJCqJzCGTR0hNDX5MTWVWHD7xLbaDdLslR+7D0oyrUEUGbpa/NQHhRBOFKAQQupKtTRIo7b4hCwPBSiEkLqR2xrf75Ehea2tldVqjV9KW3xCSD5KkiWE1AVqkEZIfaEAhRBSF6hBGiH1hQIUQkhdoAZphNQXClAIIXWBGqQRUl8oQCGE1AVqkEZIfaEAhRBSFwq2xjervzU+IaQwClAIIXUjrzW+qiMaV5BRq7s1PiGkMOqDQgipK9QgjZD6QAEKIaTuUIM0QmofbfEQQgghpOpQgEIIIYSQqkMBCiGEEEKqDgUohBBCCKk6FKAQQgghpOpQgEIIIYSQqkMBCiGEEEKqDvVBIYSQNcAwTWpeR2oKBSiEEFLnevsi2L2vH6ORJHTdhCgytId9uO6Sbmr/T6oWbfEQQkgd6+2L4J7HDmNoIg63LCIUcMEtixiaSOCexw6jty+y2lMkpCAKUAghpE4Zpond+/qRVjQ0BtxwySIExuCSRTQGXEgrOnbv64dhmqs9VULmoQCFEELq1MBYDKORJPweGWxOvgljDH6PhNFIEgNjsVWaISELowCFEELqVDypQtdNSFLhp3pJEqDrJuJJdYVnRkhxFKAQQkidCvhkiCKDphkF369pBkSRIeCTV3hmhBRHAQohZE0zTBN9o1G8cvwU+kajdZWPsbEtiPawD4m0BnPO12WaJhJpDe1hHza2BVdphoQsrCJlxvF4HL/61a/wwgsvYGRkBNFoFLfccgv+5E/+BADw7W9/G2eeeSbe8IY3VOLTE7IiqK9E7av38luBMVx3STfueewwpuMK/B4JkiRA0wwk0ho8LhHXXdJNP7ekKpU1QDFNE//xH/+B73//+0gkEs6/McYQicyWsv3whz/EqVOncO655+Lf/u3fsGHDhnJOg5CKq/cb21pgl9+mFQ1+jwzJa9247fLbW6/ZVheP5faeMG69Zpvz85pMaxBFhq4WP/28kqpWtgBFURS8//3vx549ewBg3nKiLZ1OY3JyEowxHDhwADfddBN++MMfYsuWLeWaCiEVtVZubPVsbvmtXeHikkXIkoDpuILd+/qxrbupLlYXtveEsa27iVb8SE0pWw7KP/7jP+LZZ5+FaZpwuVy46aab8IUvfKHg2He/+91wu60nhenpaXz0ox+FpmnlmgohFUN9JerDWiy/FRhDT3sIZ21eh572EAUnpOqVJUD5wx/+gAceeACMMZx22mnYvXs3Pv/5z+NP//RP5431eDz4h3/4B/z85z93Vk2OHj2Khx9+uBxTIaSi1uKNrR5R+S0h1a8sAcpPfvITAIAkSbjrrrvQ1dVV9GM2bNiAu+66C5Jk7TI9+uij5ZgKIRVFN7b6QOW3hFS/sgQozz33HBhjeMMb3oDu7m7uj+vp6cEVV1wB0zTR29tbjqkQUlF0Y6sPVH5LSPUrS4AyPj4OANi+fXvJH7t161YAwNTUVDmmQkhF0Y2tPtjltx6XiOm4AkXVYZgmFFXHdFyh8ltCqkBZAhT7iVoUxSV/rCzTK05S/ejGVj/s8tuuFj8yqo5oXEFG1dHV4qdKLEKqQFnKjJubmzE0NISjR4+W/LEHDhxwrkFILaC+EvWDym8JqV5lCVAuvPBCDA4O4sknn0QkEkE4zPcE/dJLL2Hfvn1gjOH8888vx1QIWRF0Y6sfdvktIaS6lGWL561vfSsAqwnbJz/5SSiKUvRjDh8+jI985CPOFs9b3vKWckyFkBVDfSUIIStprXVXKssKyqWXXorXvva1ePbZZ/Hss8/i7W9/O/7qr/4KZ555Zt44VVXx8ssv4+GHH8ZPfvITZDIZZ/XksssuK8dUCCGkatB5TYQsHTMX6klfopmZGbzjHe9AX19fXgMr+ywej8eDTCbjrJjY/29tbcX999+Ptra2ckxjRei6gUgksdrTIJwkSUBTkx9TU4kFy4NJ9au1x5HOa1pYLTyWLS3VVYk3eiqBk6NRdLUGVnsqJVvq97Jsre4bGhpw33334aqrroJpms4fO1hJp9MwDMP5dwA4//zzcd9999VUcEIIIcXY5zUNTcThlkWEAi64ZdE5r6m3L1L8IoSscWULUAAgFArhrrvuwv3334+bb74ZPT09AJAXlLS0tODaa6/Ff/7nf+Lee+9Fe3t7OacwTzQaxetf/3ps27YNH//4xyv6uQghhM5rIpWy1n5iynaaca6zzz4bZ599NgBA13XMzMxA13U0NDTA5XJV4lMu6POf/7zTSI4QQiqtlPOaqHqIkIVVJEDJJYpiXtnx5OQkdF1fkW2dJ554Ag899FDFPw8hhNic85q8C5/XlExrdF4TKVmZUkZrRlm3eADg4Ycfxrvf/W58+ctfLvj+n//857j88stx00034fHHHy/3p3dEIhF89rOfrdj1CSGkEDqviZDyKNsKSjKZxIc//GHs2bMHAOD1eguOGxgYgGmaeOWVV/C3f/u3uP766/HFL35xSW3yF/O5z30Ok5OTCIfDiEQoIY0QsjLs85qGJhKQJWFeVWMiraGrxU/nNRFSRNlWUD72sY/h2WefdRJiJycnC47bsGEDuru7nXEPP/wwPve5z5VrGgCAX/ziF3j00UchCALuuOOOsl6bEEIWQ+c1kUpZYzs85QlQnnrqKTz11FNgjMHn8+Ff//Vf8aMf/ajg2Pe+97147LHHcPfdd6OlpQWmaeL+++93zuRZrsnJSfzTP/0TAOA973kPzj333LJclxBSnwzTRN9oFK8cP4W+0WhZqmvoIEJClq8sWzwPPPAAACtD/fvf/z5XUPC6170Od999N/7sz/4Muq7jxz/+Mc4777xlz+Wzn/0spqamsGnTJnz0ox/FxMTEsq9JCKlPlWymRuc1EbI8ZVlBefnll8EYwxVXXFHSisW2bdtwxRVXwDRNPP/888uex09/+lM88cQTEAQBX/jCF+B2u5d9TUJIfVqJZmp0XhMhS1eWAMXONznjjDNK/tjt27cDwLJXOsbGxvAv//IvAKytHTodmRCyEGqmRmqRucZatZVli0cURWiaBlUtva5f0zRrItLypnLHHXcgGo2ip6cHf/u3f7usa/GQpLJXaJMKEUUh7/+kNpXzcTxxMoqxSBIBrwxBmN9MLeCVMBZJYngygU0d1Eyt3Oh3cmkEQVhT956yBChdXV04duwY9u/fX/LH2smxy2ncdv/99+M3v/mNs7Xj8XiWfC0egsDQ1OSv6Ocg5RcKFS59J7WlHI/jibEEDBPwuKR5AQpgbc2kMjogiPS7XkH0O1maUMizpn4eyxKgXHzxxTh69CgOHDiAp59+GpdddhnXx7344ovYs2cPGGPYuXPnkj73yMgIvvjFLwIAbr31VlxwwQVLuk4pDMNENJqs+Och5SGKAkIhL6LRFHS9Ok9OJcWV9XE0dAgMSCsaXPL8HkyKar0fho6pKTq5vNxq4XeyGgOBaDSFqamVPS6mHJb6vSxLgPL2t78dP/zhDwFY/VC+9KUv4aqrrlr0Y/bu3Yv//b//N0zThCAIuOmmm0r+vKZp4h/+4R8Qj8fR09ODj370o0uZ/pJU6xHhZGG6btDjViLDNKuuCqUcj2Nnsx9t2WZqjeL8ZmrxlNVMrbPZTz8zFUS/k6XRdXNNfb/KEqBs374db3vb2/DAAw84HWVPP/10XH755TjttNMQCll7uLFYDMePH8czzzyDl19+GaZpgjGGt7/97TjzzDNL/rw//vGPnc61f/EXf4ETJ07MG5N7UGA0GkVvby8AoLm5GS0tLUv5cglZEypZgrva7GZq9zx2GNNxBX6PBEkSoGkGEmmNmqmRqrTWcraZWabThzKZDN7//vc7AcPcUzznsj/t5ZdfjrvuumtJSbKf+tSn8OCDD5Y+WQAf+tCH8OEPf3hJH6vrBiIRWvatFZIkoKnJj6mpxJp69bEcdgluKqPCLUsAA2ACGVWH1y2tSrOxSjyOvX0RPLy3D8OTCWiaCUli6Gz24/pdPTUfhFWzWvidbGmprqMIRk8l0D80jc3ray9pe6nfy7KlA7vdbtx99934xCc+gXXr1jmt7Bf609zcjE996lP4v//3/y67gocQUj52CW48pUDRTEzFMohEM5iKZaBoBuIpta5KcK0XU8wKwsCKvrgiZLWstTLjsq2g5DJNEy+99BKeffZZjI6O4tSpU9A0DaFQCBs2bMAFF1yAXbt2weWqfLLP0NAQrrzySgDAW9/6VnzlK19Z9jVpBaW21MKrtWrSNxrFv9/3eyTTGkyYEBizF1BgmCYYGHweCX9387noaV+5V3PlfhztVaK0osHvkedt8VBL+sqphd/JalxB6Ruawpb1Das9lZIt9XtZkaULxhguuOCCFamoIYSUVyyhWMGJaUIUZlcUsusM0A0TybSGWEJZ1Xkux9xGbfbX6JJFyJKA6biC3fv6sa27ifJQSPVYWwso5dviIYSUTyUOsOMVS6lWdR2bv93BGIPAGEzTRCxVemPGajEwFsNoJAm/Ry74Nfo9EkYjSQyMxVZphoTMt8bik8qsoBBClm61q2cCXhlMYNANEwLmrx7o2ZWVgFeu+FwqJZ5UoesmJG/h12iSJCCZ1hBP1m4QRkitKylA+Yu/+AsA1iuMe+65Z96/L8fcaxKyFs3Li/BaeRH2AXaF8iLK3ask5HfB55aQTKvQDBMiY04Vj26aEBjgdUsI+ZeXQ7aaPVYCPhmiyKBpRsFGbZpmQBQZAr7aDcJIHVpjSyglBSj79+8vmOG+0L/zsvuhVEJXVxcOHz5ckWsTwovnZryUvIhKrLZsbAtiQ2sA/Sdj0AwDmm46T4yyyCAJIja0BrCxbelJhKu9SrSxLYj2bKM2WZrfqC2Rthq1LedrBKqz0R0htaLkLZ6FgokKFAMRUhfsm/HQRAKabkASBXS1+OfdjEvJi+hpDy1ptYVHbhOztKIhKIkQGGCYgKLp8LikZTUxq9S8S7ESjdpWOwgj9WetlRmXFKD86le/KunfCVnrevsi+M7DBxFLqnlB/OEBFSOTCfz19Tucm1UpeRGVrkLZ3hPGrddsc26wqmbdYLtaAsu6wVZT9czcrzGZ1rJf4/zgsVTVEIQRUutKClA6OzsL/vv69eupuREhcximifueOoaZbDmuJAhOLodmGJhJKLjvqWP49K3WzbiUvIhSV1uWYntPGNu6m7i3KHi2M1Zi3qUo9WvkUU1BGKkva22joixVPF/60pfwu9/9Dm95y1tw7bXXoqOjoxyXJaSm9Y3GMDwRBwDIYs6qCLP+ruoGhifi6BuNYXNHqKS8iIMnIitShSIwxhUo8G5nVGP1DO/XyKvagjBCalVZ+qD89re/xSuvvIKvfOUrePbZZ8txSUJq3vGRGeh2FUwBIrNKeY+PzACYzYvwuERMxxUoqg7DNKGoOqbjSl5eRO5qSyErWYVib2cMTcThlkWEAi64ZdHZzujtizhjq2neleIEYdLCQZium1TCTEgRZQlQhoeHnbevuOKKclySkJrH7OXYhVbx2ZxxmM2L6GrxI6PqiMYVZFQdXS3+vLwFe7Ulke34mstebWkP+5ZdhVLM3O0MlyxCYAwuWURjwIW0oued21Mt866ktRCEkdWx1opRyrLF4/P5kEqlrAvSwX+EAAA2d4YgCgyGYYIJmLdlYxhWw7PNnfnL/Dx5EStRhcKj1O2Mapl3Ja1UCTMh9a4sKyjXX3+98/ZPf/rTclySkJrX3R5CZ7MfJqzza4zsSd6GaUI3rILBzmY/ugvkIdh5EWdtXufc2OfiXW2ppKVsZ1TDvCuplK06QsjCyrLc8bGPfQwDAwP49a9/jS9/+cvIZDJ417vehUAgUI7LE1KTBMZw8xu3OmXGRs7qLGMMIZ+Mm9+4dVk3qkpUoZRiqR1Zl1IhdOJkFCfGEoCho7PZX9U3+EqWMBOyVjCzDJtav/jFLwAADz74IJ555hmw7CFjW7ZsQWdnJ0KhEERx/pNX3kQYw7/+678udyorQtcNRCKJ1Z4G4bTaR7v39kXw8N4+DE8moGkmJImhs9mP63f1LHijqlQH0nJf1zBNfO3HBzA0kUBjwAVVM2AYJgSBOSW1XS1+fOwd5y2rsdvuff0YiyRhmIDAgLYaaXhGnWQLW+3fSR4tLdW1BTd6KoEjJ07hjO6m1Z5KyZb6vSxLgHLGGWfM239eSvv63t7e5U5lRVCAUluq4cmwlBtVpTqQVvK6hZrRMcYQ9Ml5zeiWcm274VnAK8PjkpBWNMRTVr5KPWwJrUXV8DtZTDUGKK+eOIXtayhAKUsOCmAFJLl/Cv3bYn8IqWc8OSVAaSW7NsM00TcaxSvHT6FvNOpUzCz3ukvC2OyfZSpYISQsXCFECKkvZclB+cEPflCOyxCyplXqsMBKdja1r22YJtY3+6Dq5uwWj8gwk1CXfG1qeEbIHGssGC9LgLJz585yXIaQulWJNvC8573kXhcAMqruBBEuSVjWjT732oIgwD1nTXaxaxf7nlRj19lKo5wVQmZVtGmJoigYGxvDqVOnIMsyWlpa0NzcDEEo284SqUL0JJuvEm3gS1kVsa+riQampjJQNQMmrD5xsiQg6JeX3Nl0qUEEz/dkqRVCtYpOPybFrK31kwoEKKqq4v7778cvf/lLPP/889B1Pe/9Pp8Pl112Ga699lpcddVV5f70ZJXRk2y+Uk61rdRhgQGfDMM0EZnJwIQJgTEIsJ7sFE1HZMaAzyMt6Ua/lCCC93uylhqe0enHhMxX1qWMPXv24LrrrsPnP/957Nu3D5qmzUuGTSQSeOSRR/DhD38Yt956K/r7+8s5BbKKViwRs0ZUsg18KQ3SuloDMAzTORdIyLYBEBhzzgMyDBNdraX3LSq1dX0p35OCDc+M+mt4VurPCVm71tpPQNkClL179+L222/H4OCgE4xIkoTNmzfjvPPOwznnnIPu7m4IguC8/7nnnsMtt9yCkydPlmsaZJXQk+x8paxyAJU7LHBoPA5BYBAFQDetPDsT1v91ExAFQBAYhsbjJX+NpXZNLfV7ktd1VtExFcsgo9RP11mg9O8JIWtFWbZ4Tp06hQ9/+MNQFAUAsGPHDnzgAx/AG97wBrhcrryx6XQaTz75JL797W/jyJEjmJycxO23344HHnigaDM3Ur2o4mK+vPyM7GqCphuQRME5g2ZufgZvB9JStj8OnohAYAzrQh7MJBSoOUGNLAlo8LuRUY0lJ5vmznloIuF8jYW6pi4lZ2V7TxinbWzEC4cnkMwY8LkFvGZbC6Q6yWVbi8nAZInWzus7AGUsM47H42CM4ZprrsFXv/rVBYMNj8eDa6+9FldffTU+/OEP46mnnsKrr76Kn/3sZ3jb295WjumQVUBPsvPZqxwzsQziqfxW95Eo4PfKkCWhYBv40zY2Yv/BMUSiaYRDHuzc0ZZ3Qy7l0D1ntcXINk9kzFo+yW71aIZZlmRTa4snuzyDwv2NlpqzMreT7DO/H6mbvKa1lgxMls5cYxFKWV6CPP300wCA1tZWfPGLX+RaCZFlGV/5ylfQ1GR1xXvooYfKMRWySuiI+fk2tgUhiwKic87hAQDDBGJJFbIozEvy7O2L4Ov3/R4P/OY4fvXCMB74zXF8/b7fz8vh4T10b2NbEEGvjKlYBoqqQ2CAKDAIDFBUa9sk6JWXnGxq5x4NTybg98hY1+iB3yNjeDI5L/eo1JyVvLwml4imoBtuV33lNZX6PSFkrShLgNLf3w/GGK6++mp4PB7ujwsEArjmmmtgmmbNtLknhdGT7HyGaWImnll0zEw8k5eXk3tDFhiDWxYgMIahiXjBG/L2njA+9o7z8KG3nY3brtuOD73tbHzsHefNX1nIbgFZ5cXWKgoDm309tsRE01Jzj0rJWVkrnWTp9GPCrbZ/1EtW1k3c5ubmkj+mo6MDgJWbQmrXWnySLdZifv/BMSiaAYFZPUdyMVhbFYpmYP/BMed6u/f1I55UnYTQU9GMkxiaSKoFb8jF2ugPjMUQSyrW6oMswjCtqh3DNOGWRTQF3IgllYJJmMW+xqUkePKu/CwneZSn/X814f2eELKWlCUHpaurC0ePHsWRI0dK/li7gqe9vb0cUyGrqBqPmDdMEydORnFiLAEYOjqb/WUJknhOKI5E0zBhbacwOKkZQDZgMQHoholI1ArOB8ZiGByPI6NqMGGVANsDVd2EpmsYHI+XnGhs5weFAi4EfS6nXNdejTBME9G4sqRmakvNPdreE8a27qaSOskqqg5FNQCYkCVxWU3gqhHP94SsbdUdZpdfWQKUa665BkeOHMETTzyBvr4+9PT0cH1cLBbDY489BsYYNW2rE9X0JFsoubKt3Kf32v+oAq8OzuA7pw46p/eGQx5r5cQEWDZIyV1KMQ0TDEA4ZG2LRhMKkhkNhgnIYs5ABkiMQdVNpDIaogmlpPnOTcKcm4i5nGZqy0nwtFd+is07kVKRTGvzqo98bmnJ865Wxb4nhKwlZdniec973oONGzcik8ngb/7mbzA4OFj0YxRFwSc+8QlMTU2hsbERt912WzmmQqoA78m9lVSp5ErDNHHfr49iJqHANE0r4ZRZwY9pmphJKLjv10dhmCZ27miD1y1BM+ZXtJimCc0w4XVL2LmjDQAQT6kws83UChEZg2GYiKdKq4SqZDO1SuYebWwLIuhzWVtcqm71chEZBIEho+qYimcQ9LmWNG9CatFa+9EtS4ASCATw3e9+F1u2bEF/fz9uuOEGfPWrX0Vvby8MI7+qY2xsDPfffz9uuOEGPPXUU5BlGXfccQfS6TRGRkYW/EMIr0omV/aPRjE8mQCDXQmT05U1u0oyPJlA/2gUkiDgul3dEAXmnPJr53+ouglRYLhuV7dTPhz0WrkWhlk4oDFMq0w46C2tEqqSzdQqnnuU/T5YO11mtorZnF2Iyvk+UcMzUv/WVoRSli2eK6+8EgCQyVgVC6lUCnfffTfuvvtuSJKEhoYGSJKEWCyGZDIJwHrCZYxB0zR8/OMfX/T6jDEcPHiwHFMla0Alm8YdH45aLeMFVvDagmDllRwfjmJTRwPefHE3AGD33n4kMxpMwyqY8XskXLer23k/AAT9Lvg8EpJpDZphQmCzT0bWFhWDzyMh6M9vfqgZxqI9U4DZ/KBieTNA4dyP3JyVubkflco9GhiLIZZS0RR0O1s8evYJ2iWL8HkkxFKq8zguNR+GDrckpDqVJUAZHh6e92/2K0BVVTE5OVnw4wo1ciJkuSrZNM6071v2ccDzBswZB6C7LYgNrX4Mjs92Wd3Q6kf3nG2PjW1BbGgN4NjwDBTNhJ6z+MgYIIkMG1oDedsljz7Xj917+5HKaM6U7n3iyLzgZ/Y6zBrFsgXHBW7ES8n9qETuUW5yb8ArQ835hsiiABPIS+5dThO4WkuoJWvTWrtlliVAueiii8pxGULKopKdOTevb4AoWAfsCQUiFN20Vlc2r28AMJsLk8qo8LolpyrHbmKWm7QpMIazNoVxeGAaZjap12aYgKabOGtT2LnpP/pcP37y9HHohgnJrmU2gURaw0+ePg4ATpAyL3lUWjh51M79GBiLwTQBSWBO8JNWdGRUHRvbgsvuaVNs5WLu4+iWRUiiAE03YJqAqup5j2Oppx/XekItIfWuLAHK//f//X/luAwhZVHqjaoUPe1BdLYEMDAWg6ob1lZKNjDQsvlWnS0B9LQHZ/uapBToBpBMZ5wbvSQJ0A2rr8m27ianMdkrJyKQRAGGoed1n2UAJFHAKycieNPOjda19/ZDN0zIYs5KCANkZpUl797bj6su2gCBsbycHHusSxYhSwKm40rePLLfKOfVmjanDa5pnzSYo9SVCJ4y7VIfx1La/8/NU+L6nhCyytbYAkp5G7URUg1yEzensufgxJMq4ikVU7HMshI3BcZw8+Vb0OB3QWAMmmFA0wxohgGBMTT4Xbj58i0QGJvta6IYUFUdVoandV6NqurIKLrT1wSY7YOi6TqYYG3p2H+YwKDps+P3HxxDKqNBWiAXRhIYUhkN+w+O5eXkAEAipWImnkEiWw00N3l0YCyGSCyTt4KT/z0AIrGMMz6vYkoWEQq44JYXrpiyy7RfHZxBPKUhreqIpzSrTPvhg874ggm4xuIJuCvRBK6Saq3BHCGVVJYVFEKqzfaeMC4/bz0e3tuPUzNpJ2fE65Zw+Xnrl7V0v70njDddtGE28dW6NDwuEW+6aINz7VhCQTKtwTDM2SZtOf9npolkWkMs29ckvw9K/msHIbsqYvdBsZvAFcyDyf67aVrN4kI+F3TdREpXMTbnXCAhCoR8MkwwJ5fDnjdg9WMxnbZyVnN83Zidd6krEbll2gyAkNPEzjBmy7Q//Z6LIDCWl4A7FkkilbHOElosAXcpTeDmWo3DLSkfhhS1xuJVClBIXerti+Dx5weRUfSc2yuQUXQ8/vwgutuCS37S7+2L4KkDIxAEYF3I42zxZFQdTx0Yca4dS6mzwUkB9k05ll3JKKUPSm4TuIWSde0mcAGfDEXTkcro84YZJjCdUOF1i04uRyylZnu8WKsz1uXtT2IdMmiYplNBU0rF1NwybftjGACWrYCyy7Q3dVh5PHbAMTyZAASRqyMwbxO4ajlBmPJhCJmPtnhI3TFME/c9dQwz2Vf4oihAlgWIomAd4JdQcN9Tx5a0fJ67YtAU9MDvleH3yPB7ZTQF3Xk9VrweqegLHhOA12O9TiilD0opTeDWZ7c7FpNRdaxv8QMAAl4ZTGDQF/j+6KZVchzwyrMrEdLCKxG6bjorEXaZtrBgmTZzyrRzCYxhU0cIF5zRik0dy2/+V02HW1KDOcJr4Zc79YkCFFJ3+kZjGJ6IA7C2SqwjbRgYm906GZ6Io2+09PyCUlYMBjmvb4+z+6AwZgUHdqBimCb0bHBi90EppQnc73rHYRqLz8E0gN/1jgMAQn4XfG4JAkM2ALICKdNEtj+LtVUW8rvyViIKmbsSkVemXXAiyB9XIdV0uGW15sOQKrS24hMKUEj9OT4yYzVTW2SrRDdMHB+ZKfnapawY8N7b7HF2HxS3S4QsiTBNQM/m1cqSCLdLzOuD8uaLu/Fnl22G3yNZQUw2SPF7JPzZZZudEuNTM2mulZxTM+m8eXhkCbLI8k4/lkUGjyw58yh1JcIp015kdSa3TLuSquUE4VJXoQhZKygHhdQdpwHrIgmkMHPGlaCU3IV1DV6ua9rjcstkUxnNammfk9/idUvzXtW/+eJuXHXRhkU7yfI2RLTH5c4jrWgISmI27wRQNB0eV/48eEt7gdLKtFdCNRxuWW35MKR6rbEFFFpBIfVnc2cIomAllBbM5ci2qt/cWfqpsaWsGFy4vRVCkd8wQQAu3N7q/N1+Vb+hNQDDNKGqBgzTxIbWwIKv6iVBwKVndeD6Szfh0rM65rW57+a82eeOm11dCEDRDMTTGhTNQFfL/HmUshIxt0xbNwzougG9QJn2Slntwy2rKR+GkGpCKyik7nS3h9DZ7MfAeNxKyGRWJG7AdKpqOpv96F7CsfalNAMbmUhAFgVkjIUTQGRRwMhEIq/ipNyv6hsCbsiilauy8DwYGgLuef9uZvu22HXSC63GlDLn7T1h/PX1O7B7Xz+GJmbb/y/37J5aVcrPFFnb1lqeNAUopO4IjOHmN27Fdx4+iFhShWnAOWSOMYaQT8bNb9w67wmf99A43oP3YgkF2iJBAWC1r7f7oMz9Gko9yHAh61v8C+Z82HTTdKp4gIVb4xdq0b+UOW/vCeO0jY1FDzlcKyp14CIhtYwCFFKX7FfpD+/tw8hkAroBiAKwvsDpvcDSmmQVO3jP7oOymNw+KJXyu97xoq+8TNMad+lZHSvSBr7Q93vPK6Nr+mZcDfkwpNqtrSUUClBI3eJt8FVqkyzeg/f8nH1Q/J75v4a8qzk8ItE0V4ASiVpVPHNb42eyLeYFgcElCfOar5WKmpItrJwrZ6T+0BYPIXXEbvDV1OTH1FRiXr+OpbRq5x2fSPOtjMwdV+6W501BV0nj7LJXTTQwNZWBqhlOw1pZEhD0y0sue537/VM1A4qiQxAYGgMuOqSPEOJYmxu+hGSV2iRr7nhF1ZHOaFBUfd74RHrx7q223HGlHrzHw1yw3rrwuIBPhmGaiMxkoGg6GANEZvVrUTQdkZkMDNOcV/bKc9Cd/f2TRAHjUymMT6UwOZN23pYERk3JCCEAaAWFrHGlHhpnj9cFA2OxDBTNsNZdmbX9EfLNri4IcFp8LIhh9lVC7upCg98FVTeRya4uNPhlzCTUgqsLxbaDpmMZru+FPa6rNQDDsBq/SaKVZ2Nm11AEZiX2GoaJrtaA87G8qz7xpIqMoiOtaDDBrGZ62W+SohlQtQw8LomakhFCKEAh9c0wTZw4GcWJsUTBHJRSm2TZqwuTM+m8U4FhmkgrOhRVh98rI+CT4feGIIoMul74BA0GQBRn+7Hkri5MTKfnba34CuR+8AQG4ZAHApttV19oHoxZ4wBgaDwOQZgNRuYewyww6xTiofE4etpDJeWU+LyyldNiWqXNuZOQmFUKnVF1+LzUlIyQudZYCgoFKKR+2TfvsUgShmndWNvm3LztJllDEwnIkpC3zWM3yepq8TtNsrpaA1A1AwsV5xgmoGoGuloDEBhz+rEIsIKA7GKLc75Nbj8We3Uho+pO/xZ7NhlVh6YbcMuis7rAGxjs3NGGe584gkRay66IzM4DsIIQX/ZgQXsePNVH8aRacg4Ps8u9YfdYsVZnWHYZZfbM5JV7Ki5nQjIhpHwoB4XUpbxcDpeIpqAbbtf8XI5SD40bGItDKXIysKLqGBiLO/1YfG4JhgnoBvL+73NLef1Y/F7JCk50K3rRjdk/MAE9u7rg90rztoNMABnF6vbS4JfzTsDNPVhQ002n+ZppmtDmHCwIzK5y5AYxNju4slc5ClX8pDKac3ry3ByeREqDWxbBsqslqm5Ay/5f1a0DEd2yiERKW/4PAYfevgi+9uMDuOuBl/Hd3b2464GX8bUfH1hSrg8hlcZ7bEW9oACF1J25r+oBIK1YN8xCx9eX0qr9+PD0gqsns5/fGmdTtMIBzdx/N2FVCeVuqsy+z/pjvZ/N2w4an0phctpKNJ2YTkMS85NN33xxN153TjsEIT/wEQTgdee0OwcLAtk1jZwTjLPdXrKrHrn/bs5W/BiG9bmzSa8T2aRXzTDyKn4CPhmCwBZ8ojVNq5y5UALuiZNRvHhoHCdOFk7ALVUlEpIJIeVDWzyk7sytFFFzSotlSYDPPT+Xg7dJ1qlsr5BiTkXTMEwTdz98EKpW+Gaqatb7/+2Dr4XAGBLJ+R1lC0kkFTDGssmm1naQI5sLo2oGPK787aDe/mn43CIA5vQ1AUz09k+jty8y2wE3qSI3a6bQ7E2YiCVVhPwup+LHhAnB2aph2YofAz6P5AQcdgKuYVqN8+Zu8egGFkzAXWyrbq5i2zYr0YyOELI8FKCQujOvUkRgztbEYpUiXE2yeF+4m8DxkRlMxRcPOqbiCo6PzGBrZ6PVUTYnR2Uulq12iaVUdKzz5QUnubdQE4BuWIFK7nZQPKlCN0xo+mzAJokMiWR+dVA8O49iX188pWLHprBT8QNY5x3NzsL6f27AkZuAa02DPwE34JXhcUlIK9qiTd14EodLKS+nxmmkWqyxHR7a4iH1J7dSRGTWq33TsP4vMmsLZqmVIusaPNzjnnxhiGusPS7glQHGFnwSsnJKGQJeGYYJJ5F17ut7++/2SsXAWAyD43FkVA2qbkJgLBskWHkgaVXD4Hjc2Q4KemWuDrhBr4yh8ThXl9qh8TiAnATchRYl2MIJuC5ZtLrZymLBrTqAf9vGKS+XFi4vX2ozOkJIeVCAQmoKTzMwpwLEtCpUNC2bjKlZSaH2u5dSKbKlswGisPiSvygwbOlswCTndpA9LuBzFW2pxrLjTpyMOv9mFvhjO3EyimhCQTKjZbdVWDaHxNrEEQUGwwRSGQ3R7KGFPq/MFXT4vDKiCQUZTXdKlfPmmq1CUjTdubadCGwucMCzacBJBC61iV7BgIYVDmhyy8sLmVteTkg1KNywoH7RFg+pGb19kaInCANWpYiUrViZy/4XSWBLqhTpbg+hq8UqHV5oG6arxSodbmnw4uhQdP6gOVoavNbHwpx3ky90fQbTPp8QAlAwadfue8KyWzGmYZXwarqRM2/TCSIMw7S2dgCMRRJF5zw7jlnXZoV3hRjLv3ZuInAhuYnAiRKb6JUS0JRaXk4IWXm0gkJqQm9fBN95+CBeHZxBPKkirVg3plcHZ/Cdhw/mVVz4vRIyC7wytmU0A35v6fG5XTrc4HdBzOZSMGYFBKLA0OB3OaXDl1/QyXVNe5wdWC3GDqw2d4ayZwMVHmclk1pN4IJe2do6MWf3sO3PYprZAIdZWzYAEInydZ6NRDMlX3tuInBuhVCuRFIpeZWjlG2bUsvLCakGlINCSJUxTBP3/fooZuIK9Gxehf1HN0zMxBXc9+ujznaPmrdKUJhpWuOWYntPGH99/Q6cvqEBAZ8Mr8uqUjl9QwP++vodzmrOhrZAkSshb5zfK0EzFj45hwHQDBN+r4QNbcH8TqwFyCLDhrZgwW2KQt8ee1xTiC/PpinkKfnadiKwHYfN3ZYSchKB7VWORFqbV5Zsr3K0h33OKkepAU0p5eWEVIU1FqDQFg+pev2jUQxNJJzfzbkVKyaAoYkE+kej2NTRgKdfGuG67tMvjeD0rqYlzYmnLPnxfQNc13p83wBueN1mp4/qYtsf1v+tKhdZFqEs0NVWYIAsi1YSK6yEWGORZzeBMefzd4S9XPPuCHvzrj333CH777nXDnhlMMFq/1+IYVqVRQGv7Kxy3PPYYUzHFQS8EoTsAY3xlDZvlWMp2za85eWEVAPKQSGkyhwdnilYTmv/3S6rPTo8g00dDUikOPuJcI5bSLGy5InpFNd17HHJlMqVJJvM5nMIjGFdowfRuDLv3J5QwAVFMZz8DLcswjC0BYMZtyw61+WtXIknVQiCALcswjSta0uMOfPQTatqKvfaIb8LLklASl+4G68sCQj5XQBmVznsPiipjA4hm+cztw/K3IDG75EgSVb7/0R6fkCT+3FUSlwf6v3YAmNpi741iwIUUvWmCuRE2DfBQuOagm6u6/KOW0ixJ8OWRr6VCHuczyNCXWBlwabqJnweEYIgQBQZJEFAW9hnraRkm6+5JAGqZkAXTWc7QyiS25LbvbVvNMY1777RGM7Z2gy3S4TbJSKZ1pymeCaswMTnlgCGvEZthZKXc2l6fqM2e5VjeDIBCGLBQx9zx956zTauZGpSX3hP1K5la63VPQUopOqFQ7OBRO6v59xfVXvcji3r8PTvR4ted8eWdUueU29fBD/fcwKD4wlougFJFLCh1Y+3XrrJeTK86uIN+Olv+4pe66qLNwAATkb4VlxORlLYdWa7s53RmO31YZu7nWGYptMTZaHDAvO6t/K+4mQsb1ultclrHaSYDZTsjqy52yr9o7G8zr6FqJqB/tEYtqxvcP5NYAybOkJoavJjaiqxYJ7J7NSyqbfZcqe5VT31oN5XC0pRyonatWxthSeUJEuqQLHeJls6G1BkAQACs8YBQO9xvjNUeMfN+7i+CP7jp6/g0MAMEmkNGdXaQjg0MIP/+OkrTkXRS4cmuK5nj5vi7JsyFU3nVaFMxTJIpFQk0ioSKRVTsUzedkZu91ZNt3rBWB1lrT+53VsB8JcKmOacapiMtdVkmlA1A9PxzLxtlRcOjXNdmnfcXLmN2vweCesaPPB7pLo7X4cOOZxVSv+bWlcPX0MpKEAhq4rniXZDWxCuBUpHbS5JwIbsq/RMkdOGbXPH8TSBM0wT9zx2CIl04R4qibSGex47BMM0cXRohmse9rhGzi0ne9z2njAuP289DMNEJJrGqZk0ItE0DMPE5eetd14x2t1bF+tQa3dvBYANrX6uedjj7HlomoFTM2mMT1tz0TQjbx7A0h8bHmvlRkWHHOYrtaFfTavtH92S0RYPWTW8y7J2xUpGLVyHwjBbsdLTHsrb7lhM7jje/eu+kzMYn1p8pWN8Ko2+kzOIxDj7iWTHmZwZcPa43r4InjowAlFkCIc8ELL9SBRNx1MHRtDdFsT2njB8XhlpRV+0OiitzLb+HxiLc81jYCyO809vQ29fBI8/P4iMqju7QwxARjXw+PODzjwAYPP6EH7NUWW1eX3pSatr4XwdOuRwvniJDf1qWa0H16WqqxWUyclJfPOb38Q73vEO7Ny5E2eddRYuueQSvPvd78Z//dd/IZlMrvYUSVYpr3btFQC2wD4PE1jeCsDZnLkl9jjnFel4PHu+jZWTMTQRn/eK9HnOrYfnD42jKeDiGmuP6xvlCwz6RuPzvn92Wa0sCWgMuPNXC0wj/8TjAnTDGgcAMwm+6qaZhDLboyahwDStrSJJsM76MU0TM4n8HjUX7Wjj6pZ70Y42rjnkWur5OjwrZ0tV7muvqdUCTmvp2IJiye71pm5WUJ544gl86lOfQiyW/4s5NTWF/fv3Y//+/fjBD36Ab33rW9i+ffsqzZLYSnmitc9vgWlCEqw+IFYzdAYGE4ZpOue3AEAqw7c9kMrozo1+JttNdG4fj4xi5L0inZzmPF9nOs39hGgHXqWs/NjfP0kUMD6Vyks8lSUBPvfs9+/ECN/N6sRIDJvXNyKj8q3kZFQD/aNRDE8mwIDsqdHW18IAMMEKfIYnZ3vUjEwk4HGJiz5GHpeIkYlEyascuTcqV4HvZaEbVSUrPypx7bW0WsBrLR1bsFZWxWx1sYKyf/9+fPSjH0UsFoMsy7jlllvwne98B/fffz/uvPNOvPGNbwQADA8P473vfS9Onjy5yjOubzyvGkt5tWs3+bI6x1o3PSP7f92YPYsmtxkYV1mtV8bAWAx9J2PWAXZzxpiwciH6TsacV6Qume9XxiVbKxk87HHnb2vhGn/+thbEkyoyio6ZeAaKZlhn6mT/KJqBmUQGGUW3vn+cz2n2uO52vify7vYgjg9HoWerdgoFmoLAoBsmjg9bZxLFkypckoiGgFywp01DQIZLEpd0gy2182wlczkqde21tFrAay0dW1DsoNJ6U/MrKKZp4nOf+xxUVYUsy/jud7+Liy++2Hn/Oeecg2uuuQbf+ta3cOeddyISieArX/kKvvrVr67irOsX76vGUl7txpOqc/hfoSACsM6osZuBlXIq8ExCQSqjOf82lwnrpF9726O7PYi9fyy+zdPdHoTfw3eTaG6wWsvzPoEKjMHnlZFRdRiG1V1y7u3KygGx8ko2efhWIjZ1WONO62pw8lkWnoM17thI9jDEQo1p7H/HbPBjP+5uWULI50Iyoztl2j63CE23VsOWcoMtpVFbJXM5KnnttbRaUIrchn6jkSSSaQ2iyAo29Ktl9RBklaLmV1AOHDiAo0ePAgDe+c535gUnuT7wgQ/g9NNPBwA8/vjjlI9SAaW8aizl1W4pZ9RYf589pXeh8fapwP0no0UT400A/SetG/HWriauHIqtXU3cCff2uBMni598bI9jsKpyFkt8NU37e8GKvvLK3Z7pbg9hQ2tg0e/fhtYAuttD2Ly+AaLAoC+QW6GbJkSBYXO2p0nu486YtYrVGHBbLfAZm7fKUSre83UqmctRyWuvpdWCUm3vCeNj7zgPH3rb2bjtuu340NvOxsfecV7dBCfA2stBqfkA5fnnn3fevvLKKxccxxjDa1/7WgCAoig4fvx4xee2lpRa4lnKE60TmjCrnFgWBUgigywKVvmxc/Cc9UYipcEtixBFq/eHJDLnj8CQfQUvIpHS8oKNhVZngNneZT3twaI3z41tQfS0BzHNWcVjj2PmwkGVM4/suFhSLZpwaZgmYkkVyZQKj0tcNODwuMS8Fvo3v3ErGgIuiALyto9EAWgIzJ7Y3NMeRGeL1eDNPqTRDo7swxg7WwLoyW4brcQNludGtdSEWh6VvDZAhxwuxj624KzN69DTHqq7QG2tBSg1v8Vzzjnn4Pbbb8fY2Bg2bdq06NjcV+qZDN/Ng/BZSokn77JsMqXCLYtIKxo0w4TIsq/2TWvlZO5ZMgGf7LRfT6RUKJrhbEG4JAH+bDltwCdjXYM375C7hcqY1zVY7eitJ8AA+hdpB9/THoDArNLfuQfoFbp2OHt6cM/6ENdqTs/6EEZPJbhObI4lFXS2BLI5IoV7sDGW3+oemD2xuVi3XIEx3Hz5Fnzn4YOIJhRoOSdEM2advXPz5VvybhQrsRxf7HydpSTU8qrktW10yOHatNYe3ZoPUC655BJccsklXGOfe+455+3Ozs5KTWlNWmp1Ac8TbW7A4Zz3kr3RurIVK7nnvdjbCEcGp/PPtjGtyhPDUHDahkZsbAuiqzWAe584smDjNQDweSTszJa9aoaB3xXpEPu7QxO45U3bcOH2VnzvF7129W5BTAAu3N4KANmOrosfCCYI1jg7b6aYVEZDV2vAaXVfiJFt1JZ7/s3s5xMgigJMAKIoQBDmP77be8J400Ub8PDefqTSmpOO4nFLeNNFGwoGHKt9g61kLsdK5YnQIYf5rFU+Bk03wBiry5t57guAtaDmt3h4Pf300+jt7QUAnH766Whvb1/lGdWXudUFiqojndGgZDuCLvaqsdiyrP2Er+kmWpu8aG3yornB47ytGWZe3oLArO2chQ7eU3Uzu91jHbZ34RmLV89ceEYLpOyNef/BsUWDGcDqJrv/4BhGJhIo9jTJwDAykbA+LqXBJRbpmCsKSKT4ghPb0HicazvIaXWP0lrGO43alPzS4Yyi4/HnBxesWFnN5fhKbjVRnsjKsFf+DNNERtMRS6kYGo/huYNj6B/ly+eqNcXOsao3Nb+CwiMSieCzn/2s8/fbbrttFWdTn+wgov9kDJph5J1YK2VP3e3uKJ6/UUh+dUYGLkmEwABVM5FIq/C4pLwnfEXX8cqJxcs4XzkRgaLrkAQBE9NpiIJVwjyXKAAT02kY2XNnJqf5kqsnp5PweSSuBmnTcWu70e+VkCnyBJTRDPi9Ejxuvl9dj1tCNKEUbR2fUXVEs5VKc/OJVM2AougQBIbGgCuvCgUA7nvqGGbiyryDHHXDxExcwX1PHcOnb62+zqZL3WriOaRvrVSVrKTcFRJVN6BqBianUzg6PIPjI1H0nYxhLJKECWuV8VO3vAZbuxqKXreWrLUVlLoPUBKJBN7//vc7vU927tyJG264YdnXXSgBbi07Z0szDg9MwzCs8mI7/0JRDWiCiXO2NBfck+dx9tZmXDGRwM+fPYFTibSzjeDzSLjigi6cvbXZGfvw3r5Ft0kAaxvl8f2DOHdrM/pORgsGJ4AVtPSdtJqRbeoIYSbJt3oxk9TwMudhhC8fj+DCM9pgLJAjkss0AYNh3mrFQjKKjqSocX0/khkNkiTgxMkoxiJJyKLoNIEzTdPpVOv3yBiLJDE8mYCZXXlZrJpoaDyOoYm4U8mzVGJ2dUkssspUirO3NuPMLevQPxpDLKki6JPR3b7wVtPBExH8/NkTGJqIQ9VMyBJDV0sAb33tJuzYFF7WtdcS3sfSDkg0zYCi6RieTODo4DSOn4zi+EgUkWjhXELDBMamkzijp6nsc19Nurm27j11HaDEYjG8733vw4EDBwAA7e3t+NrXvlZwH70UgsDQ1MR3oNpaYRgmDg1Ow+OSYJjWqxvDtF71eNwiBEHAocFpvOvN25eUif77IxPYva8vb3vFhLWdsntfH846rQXnnmZt1Uwt8KQ111Q0Ax0MySKdZ5MZHTqsx7yjeX6eRiEdzQGMnEpwjTWZde3f7u7lGv/b3486ibXFJBUDXi/f99vIfo0nxhLIqAaSaTU/b8U0oSs6FFWHzyMDgojhiRjXKtFwJIXXnLmeax4F52aYOD48g6MjMYT8LmzubChrRcO6cPHH9fdHJvCfPz+IaCLjBJIZFTg8OI2TPz+Ij/2vC5yfwVKvvVaFQt55/6Zq1s9YWtFxfHgGh/uncGRwGkeHpp1VvsX4vTJ2ndWON1+6mXulsVbILmlN3Xvq69HLMT4+jve9731O3klzczO+973voaWFr1vnYgzDRDRKfVRynTgZxeBoFA0BGbIkQNEMGNkOoy5JgKoZGByN4sChUachGC/DNPHNH7+EWKJwWWYsoeKbP34JX/rApRAYQyzFd5ZMLKXglaOLJ7zaXjk6ga0dQQS9fL8yQa+0eLZrLsPA1FQCx4emuYYfH5qGZxPfFkEypWA8whco9Z44hTec0wFT15DKaIsm1aYyGkxdwxDnXv/QaBRTU3zzmOvgiQge3tOHk6eSzlZbxzofrr+0Z96qxewczbKuXBimibt/+jKmY2kgm/tgrxAahonpWBp3//Rl/ONtO2mFhIMoCgiFvIjFUsgoOjTNQDKj4cjQNI4NzeD4ySj6RmNcK4WNARc2dYTQ0xHCpo4gWsNerAt5kUpmkEouvVqzGgOBWCy95N+j1bTU72VdBiiHDh3C3/zN32B0dBSAtXLyve99D1u2bCnb51io1fRaNRPLQNNN+EQBAINLyt/KEUUBmq5Z41pK+94dG5nB2FTK+bt9Y8gt4R2bSuHI4DS2rG9ASyNfi/mWRjd0jW+rRNesJ9HzT2/mqrQ5//RmTM3wPZG0NrigaQZ4F/YEAfOa2y3ENE3InFsismh1XdU0nWtVRNN0aCrflpemakv6nck98TrgleFxSUgrGgbG4/jeL3oL9v2oxBk4J07OYGjCSiIWGXOSn+2mf7ppHS55bGgamzrqK++hXGZzSEyYio5YRsOLB0dxZHDGeoEzHi/6cwcArU1e9LQH0dMeQk9H0DkqgjErX01k1uGh9fgcrWSfh9aKugtQnn76aXz0ox91OsVu3rwZd999N5UVV1glez+8cDi/tfxCPUteODyOLesb0Ns3zXXd3r5pbGzjW36fyiayjkwk4JYXP+zOLVuH3Q2M862y2eNaGt3oHyse1LQ0usG7uyEwoMHP9z23x9nn5hRzfDiKeJGKJhvvuFxzk3WF7CnJLllEo1i4ZXxuQOP3yJC8VtBlVx8ttZGZfeZQbsddm3XmEJwzhyhAseQGJKqu49RMGq8OTOHoSBR9J6M4eSpZNOdKYMD6Zj96OkLZoCRobS8CTm8fSRQgS9k/ouB0TS7jodRVQ+E8yLNe1FWA8uCDD+KOO+6ApllPhhdccAG+/e1vo7GxcXUntgZUsvdDKQmhAJBM83XoTKZVxDi7edrj7MPuBAYk0vPn5feIkETrsLspzk6y9ri0wveMmlZMNAX5Vomagm60Ns7f5y/E7vYaifPNOxLPwO3iPIGZc1yu3OZ/gFVpZFcjyaIwr/lfJc/AcQ5c5DxzaC3KDUgUTcPJySReHZzCsZEoTozEcCpa/CRwWRSwoc3qPNzTEcLG1gBcsuhcW2AMsmSt0EqSkG0XIADZox+A+gxMbFTFU6MeeOAB/J//83+cpe+3vOUt+PKXvwyXy7XKM1sbSjmoba5iZZub1ofw65dGis5h03ort8XFmeXukgSkOYMfe1zAJ8MwzQVXUFIZHX6vgIBPhq5zbh9lx819Zb4QxpjzKrIYn0dGokgSsM0eV8opzH5vAE+9VPx08C2djVzXzGU3/9NEA1NTmWw1kXUjlCUBQb+c1zJ+Kd2MeTlnDhkmhAIRytwzh9aC3IAko2roH43h1cFpHMuukPAE/z63hO7sykhPRxDrm/0QBQECY2CCdUaULImzqyOitb2Wu8XJu91ZDyhAqUHPP/887rjjDucH9c///M9xxx13cD/hk/JYSu8HnnyB9ia+ihV7XHvYg6HJVJHR1rhwgx+9/dNFx27Idlntag04FUqFGKbVTKmrNYAoZ0myPa4pxLkqEnIXrTyyJTM62pq8EEUGfYHGdYDVqyaQPQLAPgqgGL9XxvnbmoGHi489f1tz8UFz2MHgqen0nGoiONVEfq/sbBsutZsxD/vMoYGxGFTdsBr3ZZOgNGP+mUP1KDcgSWZUHBuasZJaR/gTWhv8LvR0BLF5fQhnn9YKr2wdWWGvjkiilVQvSWL2/CwBpjm7OgLTOr17rdIW+R2uRzUfoMTjcXziE59wXoX+2Z/9GT796U+v8qzWrlJamPPmC7z46imuz/3iq6ewtSsMg7NBsgEBF57RisefHyo69sIzrHb0A2Pxot0cVc3AwFic+4nUHtcc5Pt1bA5KJSXJhvwuuCURSX3hgMkliQj5rdXGoFe2OnQukrAoCAxBr4wnnhvkmscTzw3ihtdt5hprmxsMMvs/2QMJc4NBoLJ5ULlnDsWSKvScLGmBMQR98rwzh2pdbkASTWbw6sA0jgxN4/iIldDKc7NsafQ6uSM9HUE0BT3OClhDgw+ZlOL8XRLsreHZgGSxn8G1iDrJ1pj//u//dpqwtbS04Oabb3ZKixfT0dFBuSkVwnNGSF6+gN+FZEZHKqNBEgU0+mVMJ1QnXyClcJ47kx3H2wzOJVv9WXgO9LN75xwfmSn6pGkYJo6PzEDlTGizx+3v5QvE9veewmu28ZXLp9IquloDKHbfZAzOjT7kd8Eji0guct6PR7YCmuMnORNqC4wrtrU3Nxg0nf/MsoPBzR2hip+BYx+guHtfP4YmZg9QrJfusLkByaloCof6p3BkyOrSepLjcEonoTVbXbOxLYiAV3a2a3KTWT0uEevCPszMIO/3ZC1t1yyFSls8teVHP/qR8/bExATe8Y53cH3cF77wBbztbW+r1LTWNJ5W4Ha+AExgaCKRt4QvMGv7wM4X4H0RZY8LePnyjgJeFxJJBUxA0QP9EslsbxWz+LqImR2X5gys7HEJzuTeRFotKV+llLN4etpDJQU0Pg/fU8jccb19ETy8tx8DYzFo2bORNrYFcf2u2Rv98ZEZGKa56CnMhmkFg5s7QgseiWCYVnnm3CMRlmK1DzksJzsgUTUdJyNJHO6fXSGZnCme0CqJDBtag9jUYZX8bmgLwOMSuZJZxexqCcUjpVlLJcZAjQcokUjEWT0h1YG3B0U8qSKZ1gomqRqmVTXjcVnVME5wUIQ9Ls45Pp5UEEupXG3gYykrePBwVqN4XOKC7fPnWsqLIt7ndRNAjPMsnli2S+fQeNwp4VwoMBAEK/DZ3h3Gvj+Ozx80x/bu2ce+ty+Cb//sFcRzDj3MqEBv/xQGx2N4/5+che09YTATznZOwa/NzPYhyRmwvSeMy89bj917+xFJzh6J4HVLuPy89WVZ5ajVU4TtgETRdPSPxfICEp6EVo9LzOs/sr7ZD5ckUjLrCqIk2RoSDodx+PDh1Z4GySqlB4XXIzlJdQtVbWYUHV6PtOhWQy57nFLkZmxTVB0eN2fAkR0X5eznEU1r8LtFTHMkyvqz1+Y9pkgWAbfMl2fjlgVEOYOwaGq2lNqumCnEzOZ+xJMq/Jydde1xhmniB48dzgtOcsVTGn7w2GH8y/suwab1wbzgJHeRwikpBbBp/eyWTW9fBE8dGIEgwDoOILt/l1F1PHVgBN1twZrfiuFlByRpRcPR4RkcHpjG0aEZ9J2MIsWR0Bryu3LyR0LZZGuBkllXEW3xELIEpfagGD2VyGu4lhuk5P776KkEGjkbjdnjJJFvuV0SGV45xpf38cqxU7jgtFYcOMzXGv/A4Ql0tfox3TdTdGxXq9UGOpnhe/JJZgzu4+T7R6PYvL6R77rZACU3eFyIHTy++IfiqyfA7PfvxMkoxrNdgRcKTMenUjhxMgrGhLyuvYUCJkGAtQeH/J9BKxlz9jP4PNKCfVB4tiRrgR2QxJMKDg9NZ5NaZ5xttGKaGzx5DdHCIbdV8iuw2UZolMy6qqiKh5AlKLUHxdwmZgv92k3FMgj4OHNKsuOSnKscvOOssdbNm3eJVdMNFC90tqSyKz4KZ9t9RdMxGimeIwAAo5E0GoN8YyMxa1xu8LgQO3gstnVks8e9cGic69ovHBrHjp4wvC4JybRW8GMYYL0/tfQ+KJVoi79S7IAkEk3j0MAUXh2YxtHhGYxMJormbTEGrF/nR097EN3ZoCTkc1nJrAKDnH1hIQmCE/DnBoi0XbM6KAeFkCWY24NCUfXZwwJlcV4PinDIAyGb47DQzYcxa9wRzkP07PN6UpxbQqmMxt2CfXzaunmHg270jcaLjg8H3Tg8MMV17dFJq9V9KcnAMmczOlkSYHJe2B5XSgdcN+e+lD2ulIAm4JO5cmGW2gelUm3xK8WOuUYjyWxAMoOjwzOYmC4eClsJrQEnf6S7LQiPW3KSWe38kbXWmbXWUJkxIUtg96BIpKzk19xfJFkS4HNLeT0odu5ow38/dhjpBUpxTQBuScDOHW3Y8/Iw1xzsXjh8t0BrXCl5HwCw68xWvHik+LbQrjNbcbAvwjePbGAgAuAJl0QAbWEPjnKcmdMW9kDgPLjHHtcU5Fuxagq60L7Oi6cOFE9U37GpCQCwOacr8EJbe/a4rtYADMOEYVo32Lllw5puwjDMJfVBqWRb/HJhVg8zDIzFcKh/Cq8OzuDY8AxmEsWTwD0ucbZDa3sIXa1+uGSRkllrHOWgELIEG9uCCPpcGBiLAUBep037DJWNbUGnB4XAGBoCbqSnFn711xBwQ2CspNwMAJiO8m2uTEdT8Lj58lti2aROng619jjefXl7XCmBlarxXVvVSju3BwDMgtkh85lgOHiCb5Xo4IkpXLitHRef2Y4fPv6qE5gW+io8soCLz2x3qolEgcEwTQgMEMBgwISRbS1vVxP1tJfWB6WSbfGXijErWD02PGOtkAxaPUh4VgRDPhnd7dZWzaaOINqb/c72jJXMKkASBUpmrXFUxUNIAVyJhNlnPZYdb/2dzTZCy3llZrcMD/lkxFNqwT4oqm5gYCxWUtdUAEhxHrqXUkwwxrfFk8n2KpmO8+VzTMfTRXuJ2OxxJmeEYurAyGTxU48Ba9zZW/jazPuy/WOmObd4pmOZks8ykgQBN7xuE/7nqWMFt7QEBtzwuk2QBAHxpAqBMYQb3IglrMoiPXszdUkign4ZimI4WzalnAdV6pbkUi32e8OYFby/OjiNQwPTeHVwGv2jMa5l/OYGj1Nds6kjiHUhD0TRWhWRZSuZVRTmb9dQMmttowCFkDnsRMLFumcOjMUQS6kIeGUkUqqzbQFYr3wDXhmxlOq8IrVvEA1BN5qCbiTSmnNtv0eCASAaVxBPquAsynHGMc5XhAwmOHupOeMUzpULRTMhSyIyHImvsmRtR7hcAlJK8Scgl0uAypnLoap6yc3UGjlXXBqDbrxynK8KKpJzku2bL+4GADy8pw+pjJ7Tq0TE9Zf2OO+3t2wkQUBrkzdveVsWBStgEc281vW850GVuiW5FLkJuAwMXreI1rAPm9qDmI4rODI0nW2it/h1GAM6sgmt1gpJCKGAi5JZ1yDeldN6QQEKWVRvX8Q5f8SwM1oZcHhAxchkAn99/Q5s7wkjnlSRUaytHNOEkwBrJzimMhoMQ3Rekc7NF5h7QJ2m6rP5Apxztcc1+F1ITxdfBWjwu6CbJhIciyJet/VKu7stiL2vjBUd390WRG8f381bkqwbS2NARipSfN6NARmyJAEoPtbtkjAwGuOax8BoDOdvbVm8rW4u08g7k2Yxc8e9+eJuXHXRBuw/OIZINI1wyIOdO9qsrcGs3C2bxoALblmEJArQdAOGsXDrep5ur6VuSZbqUH8EP/71UWi6AZ9bQkrRMTGdwtBEAi8WKVWXRIaubELrpo4gutuD8LllSmYl0HQDpmmumYNwKUAhCzJME/c9dQwzcSV/TcK0jpefiSu476lj+PStTfB7JWRU3anTn/ukaf277jTsmpsvoGqGs8QuS0LezSej8j3z2uNKqSxpW+fD5Mxk0bGbOqw8BL+H79p+jwiDs2eBPS7FWVGUSmto7wxiYLz4Ns+6Bi+m45xbNtlxxziSb+1xLpnvKaTQOEkQcOlZHQt+TO6WzVQsA7dLhCQI0AzD6sPiXmbr+pwtSRMm2Gz8PW9LkutyMHFyMomD/RE8vn8Q0/EMV98Ktzyb0LppfQgb2wJwy+JsMqsgQJQomZVYNN2ELFGAQta4vtEYhsbj+d08kd9IbWg8jr7RGADG1a3UTsC0bz7fefgghicSMAzTuTkIgnU6rH3zCQddOHkqWXS+4Wz1SSlt4NuavFxj7XHJNN/WSjKtI5HhG2uPi6b4xkdTOkJ+vl/dkF+CR+LslpsdNzxZ/Httj3vdOR3o7Z8uOvbiHW1c15wrr3X9DF/rep7eJvaWZFPQ7WzxGNlru2QRPo+UtyVZiG5YBxUe6p/CoYFpHBuZ4eqtIzCrNfwlZ7Xj/NNasH6dHy5ZoGRWwkXTDe42A7WOApQ1iifp9fjwtJNLYr/HnPO2bpg4PjyNliYf14F0sTnn5KQzWk6+yuw10zmVC6XkRABAIsV56F5K5SrZBOCMs5uZFROJpUuLlFBaH5RGP18pcKPfxZ0Y6ZKtR9bLmbPi9UhY3+znGltoHM/PoN26XhQZ1jVYiaC6bizYup63t4mdAxUKuBDwylByVvBckgATszlQNkXVcXwkit6BKbw6OI0TI1EoHAmtosDglkV43RICPgkelwRNN7HzjDZs626kZFZSkmRag9e9Nm7da+OrJHl4u2dGorNbA7lPl3OfOiPRDHdX1v6TUZy7pRmGaeKexw4t2AclrRq457FD+Nf37eI6yAyAM463V4CqGzgxwpefYY8rpcIlb7lpMUtYrWWM7xUUYwJGThVvLAcAI6esEupNbQG8fKx4D5dNbYHs6llxfaMxbO1sdP5unWbch+HJBDTNhCQxdDb7cf2uHudncG6vEkFgTg6K1z2/dX0pvU3m5kDN3RY0DQM+j4STkQReORHBq4PTGBiPFw0cGIBwgwfxpIKAV0Zj0A2PW7IO1cs+zsm0CkXTEfTJTs4NbdeQYuyf5+lEBusaPKs8m5VBAcoaU0r3zKYQZ/+MkDtvxWMx9pN038kZjE8tvhoxPpVG38kZeDj3W+1xpZQl83ZmtMeVEqBIAt9JxUtZrd3Yzpe8ubE9iP4xviDCXgELh/ie/MIhD9cKAoC8fI7cxGvnX1Xg1cEZfOfUQSfxutReJaWMn5sDZS2ZMyiqhlRGRzShQNEM3PvE0UW/LFFg6GoJoKfDqq7Z1BFCwCfjJ08fw8R0Gn6PCM2wghJNN6BqBqbjCrpa/E6DOUJ42P0Wo3G+Vd96QAFKHdEMY9GqiFK7Z25e38D1eTevb8DoKb6+HPbN73eH+A7d+92hCUQ4gwJ7XIKzsVsiY6AxwBf82Elpac7y3rSqg3Mo97hcc7fKFhtXSuM1AHj5OF8H3JePR3DOliause7s9pFhmrjv10cxk1CcfCN7ockwTMwkFNz366P49HsuKrl1fSm9TRiA157Vjp/9tg+RaAYZVecKVq2EVqvCZvP6kFVh45HnJbO+/uwO/NejhzAW0Rftx0IIL/v5eobzd78eUIBSJx59rh+79/YjldGcPJF7nziC63Z1O30lSn1FWko/kXVNfK+67XFJzhWXZEbDSc6D8exxvKvlpmk3JyveHdZuYlbKWTKl5JSU6uAJvhLmgydOQeM8hNAeV8pj09tf/LRmAOjtn8Hrz92A/tEohicTYLBWH+yfQwbrUGLdMDE8mUD/aLSk1vVAfm+TRErNCzg8LhEBr/X+X+zrx3/+/CDiHLlKfq+MTdnqms0dIWxoDcDtskt9RUgiK5jMum1jE/7iTcX7sRDCy37K5l3FrQcUoNSBR5/rx0+ePg7dMCEJzMl9SKQ1/OTp4wCsvhOlviI9zlluenw4ihOcuQjPvHQSZ3SFS0pk5a1esMeVkvoR9PI14rLHlbolVCnDnC33hydT6GzxcY21S8A3tPq5KnM2tPpxfITvZ2Ryxprv8eEodMPMC05sjDEIgp14HcUbX9PF3boemO1t0j8ag5hdNWGMQTcMpDI6ktlqqdzcqrlCfhlbOhuwuSOELZ0N6Aj74HKJ2cqa0pJZefqxEMLL/vmPcib21wMKUGqcZhjYvbcfumFCzj1QjQEyA1TdxO69/bjqog3zXpHOXQKf+4o0wtk/IxLPYDzCt8VjjyvtNF6+FQB7XCnFMy2NfNUw9rhSTkqupFJWRcKcVVD2uK5WvvyWrtYgRjhLkj0u66nGLFQOlsvun8Pmtq63Tk7OreLxuGb7oMRTKo4MTWMmnnH66uhF2vAzAG1hH3o6gggH3Wht9GJ9ix+dLQG4JLEsnVkFxlbsLB9S3+yndt7Kw3pAAUqN239wDKmMBmmBV6SSYN0s9x8cwyVntqM97EP/yRg0w8hrIiVlW4p3d8x2z2wK8m3bNAU9iHJW2tjj3DJfgOKWBWQ4fx95x+V65TjfYXevHJ/CzVdgwaqjudKqAUkEeOIIzjYlS/biq8Ub0dnjbnrj6QhxriqFvHLJbfQ3r2+AKDDohgmhQISiZw8BtPOfcvugnErO9kEJeGWc1tWA3x2ewP974giGOc8mYgy44LQWnLN1HU7rbEAknsHeP47hyPAMXjkRgW6YCAfdePPOjbQNQ6qKvfI2vYaSZNdGt5c6FolaT9oL5kFmj2yPRNMQGMNZm8JIqzoyqmHt+2d3hDKqgbSq46xNYecXYfN6vld+m9eHIAp8y9b2uPYw37ZDe9gHzopa7nG5YpxbTfa4ErrAl3yGUCm8br6oxusWMcO5EmaPi6e1omm1LDtO5+yWa4/raQ+is8WqXlF1A/bpCaY5Wx7e2RJAT7ZKqbcvgl+/NAxJZGgMuhH0yhBFAdGkimdfHsWvXxpeNDgRmJV/Eg660NniQ8c6P84/vRmvP3c94ikVP/7VUbxyfBLxbEWRYZjoH4vjnscOo7ePL1mYkJVgv/6MJtZODgoFKDUuHPJYN5OF7hNmtjdDyAPDNPHKiQjcLgFul2g9IWdvEG6XCLdLxCsnIkUbrhUiiXw/Sva4Gc4Vl5mkWlJTslKV0hYfADi/TIjC7BNKMUtJSejk3IbpbA2W/Nj4vXLRbTIzO24dZym6PU5gDDdfvgUNfheEbH6Irltn+giMocHvwtvfsBn9ozE8tn8Ad+/uRSSawUxCRSSaQTSpLpjf45KtE3x9bhHNjR5saLVKeZsbPJAlEfGkhlMzKSQzGgzDxE9/ewIziQwa/G64ZBECs7Y6GwMupBUdu/f1L+l3YaUYpom+0SheOX4KfaPRqp4rWT6Wfdkwk1DWTN8c2uKpcTt3tOHeJ44gkdYgM8xLJNQME36PhJ072pwqnga/G7IkzOueqWpGXhXPiZN8CZAnTkbRsz6IIY58hJ711o21McDZHTbgRsc6F07Fii9rdqwrPUAxOPNb7HG8p53rBsCbJ5vmi9XyuEW+Jyi3aKK7LYA/clTbdLdZKxullDCvb+Hr5ZE7bntPGH99/Q7nhGxV0yFLAgIeGW6XiLsefIWrWkpgVmD9unM6cOG2VkAA/vvRw0ir1oFq03EViqpBN6wgUNMNZ/uo1Iq2asPbbJHUD/vHVNNNKJrB/eKqltEKSo2TBAHX7eqGKDCougnDMGGY1v9V3drPv25XNyRBmK3iyVZE2O233dlqB0kSoOumU8VTSsOz2ezHYoOtcaXkoBzs4+uEyjsuVyTKl8xqjyuxe33F/P74NPe4jma+IMIeNzzB930cnojjJGf/m9xxibSKjGZgY1sQDX4ZGdVANKFi5FQSJ07GFgxOGLN+HhoCMtrCXnS2+NEe9uE1p7fg9A2N2NLRAFEQMDmVwuR0GrGkgoxqOA3SYM5uH+X+LhQy93ehmtjNFocm4nDLIkLZk57tZou0NVWfcuPoTJEE8HpBKyh1wO5z4vRByW7r+D1SXh+UUvtK+DjPe/C5JQyM8a222ONeKHLkvO2FwxPgLdhdSmFvJa9dSaVU8fD0+wDgjON98ssoOvex78MTCfz344fx6uA0hicSRQM4QWBobfRgJq7A7ZIQ8IgQJAFG9tVjOqNhKqrDME2r0su0to92bm/FwFisYC8cxoCLt7dCYKzk34VqUWqzRVJfRJFB100onL//tY4ClDrx5ou7cdVFGxbtJDu3vXexvhKl9AiJc24L2ONORfmar/GOWykC+IIV+7teythSSJyZtZJobd/xsMcFvHxPCwGvhNYmH3790vz3WX1OrBOsrdynKeDEwhVTsiiguz2IzZ0hnN7ViK2dIUTiCv5/P3sFaUVHNGmdX2OazOp3k02qFQXmdMC1c6w8bhG6ke1FY5oAY5AlKz/llRMRvGnnxpJ/F6pFrW9NkeWRRQG6riPNeVJ6raMtnjXE7ivhcYmYjitWHxTThKLqmI4r81pwRzlfeUdTKgzOdur2uFJWZ6qJzDkdWars6kw8zfcEFU/rJW9LlXIAYFvYOqVYFJgTlABWszVNNxdM3PS4RDT4XVjX4MGG1gA2dwXRts6Li7a14jXbWhDyuxFPWKcJx5OKVTFkWM34TBPQDNPKQZFFJLM/p7k5Vm1NXoSDboT8LoSD1t8b/C7n5l3q70K1qOWtKbJ8diI775Ebta66nv3Jkj36XD8e3tOHVEZ3ekX8v1++iusv7XG2eAArQfHWa/hacA9yHjI3OBYrucz4/NPW4RjHScLnn7YOJ0ZiFVuJkAWAp7WJnTIjSwIyHNmvvOOWSuHsx6KoBmKcZYn2OJ6EZFFgODYSw1d/dACAFZAsJuiVcdqGRpzW2QC/V8a+3lGk0hpkWbRWLJIaTk5GcGRwxjmwMuCTneqyua3rZUmA3+MCGJxtGPvmrQsGpmKZvPHxlIqQT867eZfyu1AtanVripSH2yUinlK5t21rHQUodeDR5/px/1PH8jteAkhmdNz/1DEAmBek8LTgPjLId87KkcEZyCJfRrk9bmKG76Y5MZOxXpVzLAMs5cUu533eGZfh/ADecUslCQBPqogkAIMTfIms9rh1QRdOzqnIErJNc+zW7rphIrXIMrNVsivA45Lg84r4m7eehY1tARgmcOf//B7DE3E0+N0wsl+EKApoDLjycijsbZi+0RjArEaE2R0bgDGkVR097bONBQM+GYZp4lQ0DRMMot3kxwQUzcCpaBo+j5x38661dvS1ujVFysPrsp4/p2LVtfVdKbTFU+M0w8CDz5xY8IA80wQefOYENCP/hmm34D5r8zr0tIcKPiGrnDW1qm4gHOSLde1xk9N8LdInp5Pg7AXGPW45KnlCcSlcnC+QXTJgcp5GaBompuMZhINuCGz2eHfA6pez2LkzosDg80gIB91oD/vQ0uSFxy1B1XSMR9JoCXtgmkD/aBSD43H43NYXkFF1pDKaU7mTm0NhNxbMKHo2IRcQRStAsf8tt7FgV2sAhmFCzzbJs+MTxqy/64b1NXS15lc18fwuVIta3Zoi5dGU7SfUP1p6xWItogClxj33x9GiB9OpmoHn/jha8rWbOM9waQq64eK8Y9rjMhrfTZN33FpjmHy/uoYpcPcUmU6q+Nhdz+I3fxizApJFvvWyKOCMjQ24/LwOtK3zIRzyQBIFJDMaxqdTGIskMR3LIJHWoOkGHtvbD2B2G0YzDIxPpTAxlcLkTBoTUymMT6WgGYazDeM0FpRFuGWrUsfI5r26ZQEeOb+x4NB4HEI2F0Y3rfwXM/t/u4W+IDAMjdf2k7u9NdXV4kdG1RGNK8ioOrpa/M72GKlPLY1eAEBvf2RNNGujLZ4a99IRvnLdl45M4LVnry/p2mdtXmdVX3CMe+bAENc1J6aslZP1YR+ODhUvTV4f9uHYUJT7dOK1Qhb56olkUUC6wF6QvW1mf18NEwtuozEAsizAI0tWt1aRQdVM9HSEMD6Vwtip4qth9mnX9jZMZCYDEyYExiBkP7Wi6YjMGPB5JAR88mzSa8AFlyxC1XTYezayZB12mVuxEk+qEBhDuMGNWMLKWTGyH+GSRAT9MhTFqIsE0lrbmiLl0dbkhSQyTEyncWxkBls7G1d7ShVFKyg1bnKaby+Sd1yuTZxn8WxaH8IM556oPU7V+fZAVF0Hb7/EleirWC1z4S0FliUBhjk/P8c0F07r8Xskp8qmpdGLdY0e+NwyVN1KPh2LpBCJptEe9iGV4bvZq9m+DbPbMCZExiBkc0sEZuWM6IbpbMPMrVhxySJ8HslJDp1bsWInkEqCgNYmL1qavGhu8KClyYvWJi8kQSiYQFqrLeNraWuKlIfHLWHXme0AgJ8/27e6k1kBtIJS4+Ipzv4jnONyjU7yLYWPTsbBe8CmPe6PHCsz9ji+Xq/gHlcPit2L7LziyShfRY7bJaIp4MKH3n4ufn9kHLv3DiCt6ogmlQXzmyLRNEY4u87a42a3YaycITFnsrppnWFkb8OUWrGSm0DamO2ualsogbTSLeMN06RVDlI2mmagIeACY8DLxyP4w7FJnLOlebWnVTEUoNS6CvZef+FVzm6vnONyJdN84QTvuJXCm/ta6S4F8VT+92VuodNiD7ckCnC7BLgkEZIoQNMNKKoOTVPR1ujFwFgcMY5tkMmZNGJJvq/UHmdvw6wLebLN1wzYSzwuSUDIZ7W+jydV7NgULqlixU4gveexw5iOK/B7JEiSAE0zkEhr8xJI7ZbxaUWD3yND8lpj7Zbxy83noPNySCU0Bd04Y2MTevun8F+PHMI//9XF8Hnqs6yctnhqnM65HM07LteRwemyjsvF2yKkgq1EatpMMj9AWezR9bhEBLwywiEPmhs88Hkk6LqJmYSCiekUprLJrIm0dZWFmoDNJUlCqUcwza6KLJCBq2Vv5AGfXLhixVi8YoU3gXRuy/hyn2ZM5+WQSjrvtHUI+WVMxxX86FdHV3s6FUMrKDVO46xn5R2XK6XwPTnzjiPls9B9kzErV8MtCVagYVoByuRMumhzJ7uJnouzjb5LZHBLfKcx2w2BN7YFEfS5MJBtAigJglVCZFolxxlVx8a22d4muc3UxiJJpDI6BIZFm6nxJJBWsmU8nZdDKk0SBew6sx2P7R/Eb18+ifNPa8b5p7es9rTKjgKUGkdBRH0oViq+EEFgcMvWdo0gMucwvURac7q7tjd5rK2UIrxuK2fjVJSvid6paAbrQl4Mn0oVHbsu5J39Sza6sralTLBswq6zTTUn+rIDjuHJBCCIgKGjs9m/6M3dTiBdiJOA6124ZXwyrS2p4qdaz8uhfJj60trkxfZua6vn7t0H8enmi9Ae9q32tMqKApQqxvOEUqun8ZJ8H/r6b7jGiSKDWxIhywIYQ/ZkU2PBZFYGwDD4Vs/scdE4X4ASjWewaX2IK0CxK8IGxmKIpVQ0Bd1IprX8UuBslU4spVb85l3JlvGVDH6WivJh6tP5pzcjEk1jbCqFr9//e/yfP38NQn7Xak+rbChAqVL0hLK2LLSCIksCXDnbNZpuIKMaEKAjnim+KuZ3s5IOFgRQUuJ1Z0sAwFjRoda42Zt3KOBCwCtD0QwYhglBsJJkTQDRuJJ387Z/F8YiSRimtSPUtszfhUq2jK+283IqnQxMVo8oMLz+3A48sm8A41Mp/Pv9v8cn3nle3STNUpJsFaIEu7XLJQsIeGU0+F0I+mRIooCUomMmrmAmoTidWQvd+ApfT+Ta3gHgjEurfJVTaVXDVIxvtcUel3vzZozBLYvwuiW4ZRGMsXk379zfBSFbDi0IDEMT8WX9LlSyZbwd/CTS2rxun3bw0x72rch5OZVOBiarz+uWcNWFXXDLIvpHY/i3Hx2om8MEKUCpMvSEsnYwBrhlEQGfjH9492vg90iAaZ28O5NQEEuqSGW0gmfglLIqInMmvc6O470pM0STfA1w7HGl3Lzt34V4UkVG0RGJZjAxlUIkmkFG0ZFIqsv6XahUy/hqOi+nlHwYUrtCfld+kHLvS4gmSu99VW1oi6fK5D6hAFZlQ+4S+Gol2JHlEwQGtyRAFAUwWIcsarqBTFLHls4GJErq+cK/DyNwBhz2qxWZc3VGzp6Rw8MeV0qvkr7swYIZVbNOJxYYGLNyaFXdhKZrGByPL+t3oVIt43Orj0YjSSTTGkSRLVp9VAnVmA9DKiMccuNNO7vwxPNDGByP48v/70V84n+dj8aAe8Gqv2pHAUqVcQ5TEw1MTWWgaoZT4SBLAoJ+Oa+9N1k5D/zmeEnjRZFZ1TUCA4N11kxG1WEUOBunVAJzal6KjmOCAJ7WcdY4YGtnCH0cp6Vu7QzB6+FLyAv5Pc7bvDfvaEJBMqPBMLOrOwxgYAAzIQkMqm4ildGW/UqxWMXPUlXDeTnVlg9DKqsx4Mabdm7AL58fwsipJD5993686aIuvPW1m2oySKEApcqUcpgaWVkP7+lb9P2yKGQTLq3HS9UMpDKV6YQrML5nG4FZq29cY7PjfF6+oMPndSHNeRZPRskfx3PzjqdUmNkzewD7/KDZEmWRMRiGWXC/vVpKaisV/PCqZDIwqU7hBg/+8b0X4Uv/7yWcmknjN78/iYu2t6GtqfZKkClAqTK5h6nJInOeUFj2j6rPHqZGVpdLEiCJAsBgdTjVDKgVCkjmEkUJPKcPiaIEn0tENFl8rM9lvcIWOW/kImMl9UyZq9jNO+i18iZ004SmzQ/IGLOuEfTmB+tUATer1Pb/pPZpmpE9vb4NT74wgsmZNP75nt/hQ287G9s2Nq329EpCSbJVZu5havaps2aBw9TIymEMOHtzGF63BK9LhEsSoOoGkhkNybSGtKIXTGatlOYGN/c4kTNJ1h63rsFTNGuFZcfJIt9TSKFxxU4RDvpdcMnCgkvTpmlVPQVz+j5QBdx8lUoGJtVLEgU0+N1488Ub0NzgQSKt4Ss/OoBH9w/UVIEFraBUmbmHqama4aQazD1MjVSOIDDIkgCBMZimCVXT8Xc3n4f3fvHJ1Z4aAKvV+4nRBNe4kVNJrmt6sv3oL9zeiu/9ohfmItXJTLDGxZMK9h0cL3rtnvb8LQSeVY6u1oDzyn5uxo39d4ExZzWRWswvrBryYcjK87olXH1RF559eRQDY3Hc9+RR/OHoJG67bjvWNXiLX2CV0QpKlbGT2kRRQGuTF0GfDI9LRNAno7XJC1EUypLUVuzVa61KK0vbYhGzPTY8LtF61W6YyCg6UhlrdUSvsla8jSG+J5fGkBfrm/m2A+1xIxOJoisjsihgZCIBv5fv5zB3HO8qR+5qIhggicz5AzZ/NZFKahdnb6mdtXkdetpDFJysEZIo4A3nduCSHa0QRYZDA9P4+/+7D/f9+igSPAdprSJaQakydlLbseEoFFXPe9U4E1fgkkVs6QwtK6nNfvU6NJGAphuQRGHFyx8r5UP//gzXOFkUIGS3NHTdgKab0MtQXbNSMpy5LpmMxh182uOiCQWqvvjHqLqJaEKBx81XkmyPK2WVo+BqYpZbFuetJq5USW21JOASwosxhtM2NKIt7MNzveMYPZXEo88N4Jnfj+Ctr+3BG8/vgsx5ivlKogClygiMoaXRg4N9U/PeZ8Lqi9LS6FnyE2JvXwTfefggoon8s1sOJRWMTCbw19fvqOkgZaGbsStbwWDChKYZUHWDp/K2ap2KprnHTc7wJbIOjVtbRvGUUjSfxqqeUfDC4Qmua+95eRSvOb2tpFWO3NXEtrAPqqbD3tyRJRGKqkM0TGc1cSVKaikBl9SykN+Fq17TicHxOA4cOYWZhIIf/eoonvjdEN522Wbs3N5WVcF29YVMa5xmGHjmDycXHfPMH05CM0rfczBME/c9dQzTcQWGnXyb/WOYwHRcwX1PHav57R7GrORJlyw4WxWKZiCj6lBUAyuYy1oxKc6l2VRahaLyRWL2uGSKb3UmmdJwkjO/xR7nrHJkX60pqo50RnM+tyQJTp+f3K6zhq4jmdYQTSpIZv8+t2V8pVvMUwIuqQeMMWxsC+L613Zj15lt8LpFTM6k8Z8PHcQ/3/M7HBqYQrXEKBSgVJk9L59EsdjDMKxxpeobjWFwfPH998HxGPpGa2uPXsie6eKSBPzjX14E0wQU1YCiZldK6lAizfd1JdIG9+mm9rhSTsjmfSKzx9mrHImUirFIEuNTKUzOpDE+lcJYJIlEUnVWOewSWUXVMDiRxHT2EMHpuILBiSQUVcsrka1ki3k6gqJ8DNPEiZNRvHhoHCdO1k/+W6XlPq+V44+mmdjYFsS1l3Tj7M1hSCJD32gMX/5/L+H//Oc+DE+ufqUobfFUmacODHOPe8O5nSVd+9jwdF7wk/s0bT9FGIY1bnNH9bbRFwVr2d8wDOiGCcM0kcm+Al8rDadSnMnAKUXDOVvDODw4U3Ts6RsaAABpzvyWdEZD5zofTp5KFR3buc5qErWxLYigz+UkqkqC4JTkZFSr0+7GtqDzOO4/NIa0UjhkSisG9h8ay9taqVSL+VK2pugIioVV4mTqtURfwsp5MYwB2zY2ors9iN7+KRwfieLkqSQ+8939eN05HbjxdZvRFORra1BuFKBUmVKX40sxldMsa+5ryNwyzinO5ltL9eMnj5Q0XhIFCAJg6Ca0bBM73ajhBJIyKKU7rCjwLZTyjstV6mnGAGAnP1k/cyZYdrvR+RnMvl/R9XnbnXPLjZ/5w0m86+rT4RJnc04qUVJLZ9osn71FllY0BLwyPC4JaUVztsioJ8viGLPKhivF65Zw6VntOGtTGC8dmcTAWBzP/P4knvvjGN60cwPecnF3RT9/IbTFU2VO62wo67hc4dD8KLjQ4mqhceX02P7BRd8vS1bLePsmrOnZJcl6SB4pE87z/CCLwPoWvhbXvONyJTJ8gaI9bmAshlhKRVPQ2iaxGxBaTddENAXdiKVUDIzF8OjefmfFjyG7TcSs/9uhhmEAj+7tn/f5yl1Sm5uAWwidabO4gltkAm2RVaOQ34UrL+zCHX/xGpzW1QBFM/Dwnn78/f/di1+9MARtBbfNKUCpMjdddVpZx+Xa3NkIMXvTt5Nj574tCgybOxtLvvZS2Qmt9hk2gHWGjaoZK9qZtdaUUt6775UxrrH2uO6OEFcn2e6OEAJevldU9jh7JcLvtfr6tDR50dzgQUuTF61NXvi9s4dhTkwX3zoCwD1uOSqdgFvvqEdNbdE0A8dGZvCabc247Pz1aA/7EE+p+OEvX8VnvrsffzxxakUSaSlAqTInJzirIjjH5eppD6K5wbPomOYGz7yun+UkMIYLz2iFLArWcn028UvVjJo8bXO1uCW+wMAtSYhwbsPY4xr8rqJLuV63hAa/Cxec3sx1bXtc7koEyyY3e90S3LIIxljeSkRL42wzOvu4B+dPzrVzx1VKJRNw14K51Vtz5VZvkeogiQJkScTG1gAuO68DF57RArdLxGgkia/++Pf4zHefQ4Sz3cFSUYCywop1cN1/cJTrOrzj5jILburwv79UosDgkgWr+yesr/8DN54FVTfK/JnWFt5tuHDIbR1oyMEet7EtiJ6OoBU0zBnDYDVJ6+mwEllP28CXM2CPK2Ul4s27ulEsLUYQgDfv6uaaw3LRmTZLR1tktc0li9je3YQbX9eDMzdZR0UMjifwj99/HocH5vfsKhdKkl1BPE2eXh2c5roW77hc/aNRRIokwEaiGfSPRtHSuLSjuZ2EVsO0urNmk1pJec1dJl9sXE97EEeHo0XH2itnuSfgphXNOY+IMQbDNOFxSc5qAWMMAsOivWUENjvfUk7XdYkiztoUxh+OLdxf5KxN4bwEWVulur3SmTZLYwemQxOJ7Hbu7PfLDky7Wvy0RVblXLKIC05vQXdbAPsOjiMSzeArPzqAv7p+Oy45s73sq+AUoKyQ3Ax2lyRCkhkMExiaiOdlsE/H+ZbjecflOj4chVakhbmmm7jzf17GTELhuqadO2JX2Gg13qG1ZpTQgKSVcwskd9zccl1dtyqC1ofzy3UTSWV+ac28OWTHLXDthUqBDdMKcmVJyGtzb5MlAZpulZnnBgiV7vZqJ+ASfnMD04BXgsAYFFVHPKXRFlmNCYe8eNNFG/Dsy6MYHI/j7od7MRpJ4sbXby5rkEIBygqwM9jjSRW6YSCe0qyNdMYgiwy6Zs6eP5Lg60HBOy5vHpybKgsFJ4zBOa/BDkgK3ThI5Skq3/ddUQ30rOe7mc4dx7NaEEupXI0FY6n83AKea9uJlc0NHsiSgGhCgW6YEAWGkN8FVTPm9R7JfSHg98iQvNbqDJWyrr7cwHQskkQqo0NgqJtzwNYKSRJw2bnrAQBv2rkBX733AP7YN4WB7KGduTHmcoMVClBWwMBYDIPjcaQVLX8p3DSRMUyozMDgeBwDYzHuxYelLFIcHym+zJ9LyAYkJma3bHhvjKSyetoD2PvH4tU5Pe0BjE/xJVSPTyWxdU4FV7HVAp+H7ymk0Lhi187tPcIYQ2PQyqfRdCuhem7vkVIOIqRX6qvDDkyHJxOAIAKGjs5mPz0eNUTTDDy2f8D5u8tlbbEOjcfx+POz/y6JAq64oGtZQQolya6AaEKxzhPJeaByfx0NE0ikNUQ5t1WW6rmD44u+XxQY3LKAqy/agH/564thmEDGbotcZGuIrKytXY1cpcBbuxqL5h3ZeMflGuA8FoF3XK5SEyuplLU2CIxhU0cIF5zRik0dy+9RQ1aeJAqYiSvY8/IoDrw6CcDKMxIFAaIgwOOScOVrlhecALSCsiJyT4fN/VW037ZXKOIppeh2/tyPXQ5JnO0yqhuGs5/f3RZAxzp/GT4DKUVLSMREtPjaWEtIxIa2INyygPQiK1puWcCGtiBGOA/0awotXoJeSCnJuqUqNbGSur0SUjmabuDUTBrj02mMTCYwPjXbf+j805rxvrfuyDtFvBxd+SlAWQG5p8PaLb1z/547jjfgNAH89+OHS5rH+nU+TMUyMGE1Q9N0E5o+e0NkzHp1E/RSqV85nLelAQeOFT8D57wtVlfgxqAPE9Hir+4bgz4MjcchyyIUrfDpzAIDZFnE0HgcHWG+JFnecbnWNXjA2OJ7zYxZ40pVamJl7oqLq0CrXSplJYRfKqNhYjqF8ak0JqZTiETT+bsAzKr827ahEY1BN3778sllb+nMVVcBimEYePDBB/HTn/4Uhw8fRjKZREtLCy644AK8853vxEUXXbQ6E5tzbsqCjx/n+Sq2J19c+GBBBkCWreU207SSWf/qrTvw7/f9HslsDwqrq6wVMtllpD6PhCDn6bdkcddeugUHjr3INQ4AAj6+73vA50I8qUJgDOsaPYjGFavRHbKPuyQgFHBBUQxntcBTZLXFIwtIpkvPbNq5ow33PnEEifTCSds+t4SdO9pKvjZQWmIllbISUjrdMDATVzAdVzAVy2A6lsFUPINUgWMsvG4RLY1etId9eMcVWxGes+pKZcYLiMVi+MAHPoD9+/fn/fvIyAhGRkawe/duvOc978GnPvWpFZ/b5vUNkEQGTTfnbeHYf5dEhs3rSz9fx2YltFrnW5gwoWZzR4DZm9LGtiA2tAbQNxqDbpjQNAMmWDaYESEKDBtaA/QEXiY9HSGIAlu0D4woMPRkT47mDQyDfpezWiAJAtrCPmslxTCt802yZbm6aDqrBT6vDFk2kEipea+CBAb4vTJkSVjSyoIkCLhuVzd+8vTxbIXN7Pt0w/r6rtvVbZ1avES8iZWl9FghZC1KZTREomlEYooViMQyiCaVBQOLxoALbWEfLjtvPbZ2NqC5weME/nZX50qqiwDFNE189KMfdYKT173udXjXu96F5uZm9Pb24jvf+Q6Gh4fx/e9/H+FwGO973/tWdH497UF0tgQwMBqbt3pi/z3glfHgb45zX1MUGC7a3oo/HDuVbRdvHVW/mNwn8FRGs7Zyco6697olegIvojMsYzhSPIehMyxjaDwOn0dCbJGcB59HwtB4HD3tIYQDnN1hA+681YLGgAvunC2NQqsF9tj1zT6kFAOabkASBXhdAqLJ5Z0j8+aLrU6uu/f2I5XRnJUcv0fCdbu6nfcvh51Y2dTkx9RUYsHEWd4eK4TUM9M0kUhpiMQyVkASzSASSxdcFQEAlyRgU0cInS1+bGgNoKslgM4Wv3PkRW4gspJHktRFgPLzn/8cv/3tbwEAb3vb2/CFL3zBed95552Ht7zlLbjllltw9OhR3HXXXbjhhhvQ3t6+YvMTGMPF21sxOBZb8MGdjiuYji/cMVMSmbNCYmT7j7zvrWfivV98sqS5zGvApVmNrDa0BtbkE/j6dR6MnCp+nsT6ddZS5lU7N+GeR18tOv6qnZucbZiWJg+mYxmo2uyDL0tW2WzuNkxzo5en5xmaG70lrxbYY6NJDX6PBJ9HgqYZiCbLs7Lw5ou7cdVFG7D/4Bgi0TTCIQ927mhb1srJUlG3V7LWmKaJmYSC4YkETp5KIhLNFHzBygB0rPNhQ1sQG1r96GoJoKs1gHDQjUKlF6t9PlpdBCjf//73AQCBQAB///d/P+/9jY2N+NznPodbbrkFmUwGP/jBD/DJT35yxeZnmCZeORGBxy1yl+zKknXCr5BtL66oBlKZ2X3+Bc7c4kJP4LNuefM2/NsPf881DgCagnzJnk1BT942TMc6f9FtGK58Ds9sPkcpqwUrsbIgCQIuPatj2dcpB+r2SuqdqhkYi6QwPBnH8ERi3vOGKDCsb/ajuy2I7vYgutuC6Gr1w+Oqndt+7cx0AYODgzh48CAA4I1vfCMaGxsLjrvwwguxadMmnDhxAo8++uiKBih2f4YGvxuJtIpoIn/JnzHrdNid21vx8rFTSGU0KJqJ5CI3KlmaX6VQilp6Ar/4jHV47tAprnEAsLnDj+MnE0XHb+7wY1tXGC5JgLJIR1yXJGBbl3UDD/ldCPrkRbdtgj4ZIb+r5G2YufkcuTnThlk4n6OUYJMCU0Jqn6YbODI0gz+emMp/0SoKOGNjI87evA5buxrQ1eJf9n1itdV8gPLCCy84b19yySWLjt25cydOnDiB4eFhDAwMYOPGjZWeHoD8/gwhvxtm9mbj98rwukQwgSEyk8EFp7XgD0fGkVxgnzCX11X5m4rIAJ7+bCIDmkIyJmeK52Y0N1irBeed1oQDR4qfgnneaU249foz8dyh3xQde+v1ZwIAPvqu8/GRr/226PiPvut8CIzhb99+Dr5634GCdfuCAPzt289xbuJ2onH/yRgUTUPuKqosAi5JchKNl5K0uZR8jlKCzVoKTAkh+UYmE/jDsVOYmLa2pZuCbpy7ZR3O2dKM7d1NcLtqOyCZq+YDlKNHjzpv9/T0LDp2w4YNzttHjhxZsQBlbn+GcGi2d4Sqm1DSGkxYS/0tjT5E4sVb0i/1tOFSfPjms/D1H7/CNW5qJoN7Hj1SdOx1u3qs/1/SwxWgXHdJDzyShHO2LH6q7TlbwvBI1o9zwOVCR9iLk5HUguM7wl4EXFbVzPaeMP73zefhoT0ncGw46pz3sqUzhBsu3ZS3/ZEbdIgKQ4MkOqf5Kpqed9Kvfe1St1aqKZ+DEFIdTNNqLWGaVnXNn122BbvOaq/rFdCaD1BGR0edt9evX7/o2I6O/397dx4WVb3/Afw9jIDgsC9KCKgglgTihqB5ccUkcqHcUknTvFhZtrjkz5tW10fTzJ9Xc0vEsKvJL1HRMFyx3BAs7CKgohioIArDLsyA8/uDO8cZmIEZRB3k/Xoen+fMnO/5nu/M8XA+810fto+rHve4aZqfQdn5qG5Vf6cOFrh8s/EApVOHxz8U+MVODjqne6BQIOqXq4128Bzg4wwA6PycNawlxigq017rYi0xRufnrAEAc8f54n//L0VjkOLjbou543zV3ls2KwD/s+WsxiDFydYMy2YFqL2nb1OJatAh/29H444OmjsaN6VpxZD6cxDR02dm2gYj+7nBzFSMYb1dnrnaEk1afIBSXPxwps527Rqent3c/GGtQ2npk1uPQ5+q/r7d2yM+WfsEbEp9/9tRckT/9og/0/iicSP66z9RlpFIhHkTfbHqxxStaeZN9IWRSAQjkQjjBrsj+sQ1rWnHDXYXagGMRCK8HeKFdXv+1DiBWFtjI7wd4qX2EJ87zheV1dWIPnoV+dL7cLQxw/hhXYWak7qWzQpAmUyGjTGpkJbIYGNpgtmhLwo1J5o+r67NH/oGHWxaIaJH9fog96ddhCeqxQcoMtnDBfbatm14hIXqftXjmqKNnsNovD3s8ZbYCAfP3EBuQTkqKqvRRiyCq6MEIf07oXvn2l/dHi42aG9jhjtS7c0T7W3M4OFSuyLrhEFeOgUoEwZ5NamJwNvDHgsn98JPCVeQeatMeN/DWYLXB3kK5QaAkAGdYWRkhH2/ZqJS/rAupa2xCGP+5oHgALd6ec8d74v9v13DjbwyYW6OTh0kGD3QXS1vJUkbE7z1374murBu0xaL3/SDpaUZSkruo6ameVdj9uho3az5kXbi/84CJxazqaul47VsGn2fOy1diw9QxOKH1VyNLUimUBnUbfQI7flGRiLY2Oi/mN4Am3YI8O2I67eKUVIug2U7E3RxtoJRnSnu50zoia+ikjSOFLE0N8acCT1hZysR3pv+qhciD1zSet7pr3rBwa7pTUK6lhsAJgd3x4Sg5/Fbyi3cld6Hg40ZBvo6a72x9Mn7UVla6r/WDBkeXsdnB6+l7pr63GnJWnyAotpsU1lZCRMt1fcAUFX1cDn5htI15sEDBUpKdFshVhM7iTHsJLWjWYqL6+fjam+Od8d6I/bUdWTfKYO85gGMxUZwbS/BqJe6wNXeHFLpw2G0g3s44X6FDP934ipUKwjERsC4wV0xuIeTWvrHVW5Vvu4Paz9KS7XXBjUlb32JxUaPrQaFnhxex2dHS7iWhhYMPOpz52lq6nfZ4gMU1X4n9+/fh6Wl9nb+ioqHF9fKqunr3gDQOtV2c/F0scZHE3tq7OOg6dxBfV0wpLezxpEfj7usLUVNzQN+F88AXsdnB6+lflrbd9XiAxRnZ2dhOzc3F+3ba+8MmpubK2w3lM5Q6NuxkiM/iIjoWdHie9x07dpV2M7Ozm4wbU5OjrDt4eHx2MpEREREj6bFByi+vr5C59jk5OQG0ypXO3ZyckLHjh0fe9mIiIioaVp8gOLk5ARfX18AQHx8PMrKyjSmS05ORlZWFgBgxIgRT6p4RERE1AQtPkABgKlTpwIAioqKsGTJEjyos6hKcXExlixZAgAwNjbGlClTnngZiYiISHctvpMsALzyyiuIiYnBqVOncPDgQeTl5SEsLAzt27fH5cuXsXnzZty6VTs765w5c9TW5CEiIiLD80wEKACwdu1ahIeHIykpCcnJyRr7o0ybNg2zZs16CqUjIiIifTwzAYpEIkFUVBT27duH2NhYZGRkoLS0FDY2NujZsycmT54Mf3//p11MIiIi0sEzE6AAtdPXh4aGIjQ09GkXhYiIiB7BMxWgPClGRiLY2hrWNMjUOK778WzgdXx28FpSQ0QK1RX0iIiIiAzAMzHMmIiIiJ4tDFCIiIjI4DBAISIiIoPDAIWIiIgMDgMUIiIiMjgMUIiIiMjgMEAhIiIig8MAhYiIiAwOAxQiIiIyOAxQiIiIyOAwQCEiIiKDwwCFiIiIDA5XMyaDd+/ePezatQunTp1CVlYWKioqIJFI0LVrVwwdOhTjx4+Hubl5k/MfMGAA7t27p1PaU6dOwcHBocnnaq1OnjyJWbNm6ZT2pZdeQkRERJPOk5aWhu3btyMpKQl3796FRCJB586dERISgnHjxsHExKRJ+RKwbt06rF+/Xu/jxo4dixUrVuh1DO9JAhigkIE7evQoFi5ciNLSUrX3pVIpzp8/j/PnzyMqKgrffvstXnjhBb3zz8/P1/kPITVdRkbGYz9HZGQkVq1ahZqaGuE9qVQKqVSK33//HdHR0di8eTM6dOjw2MtCDxkbG+uVnvckKTFAIYN1/vx5zJ07F3K5HMbGxhg/fjwGDRoEa2tr5ObmYu/evThx4gRu3bqFt956CzExMXByctLrHOnp6cL2F198AR8fnwbT29jYNOmztHZpaWkAAHt7e2zdurXBtBKJRO/8Dxw4IPxKd3R0RHh4OLy8vFBYWIjo6GicOHECGRkZCA8Px+7du2Fqaqr/h2jlJk6ciGHDhjWa7ubNm/jwww8hl8vh4OCAd999V6/z8J4kJQYoZJAUCgU+//xzITiJiIhAv379hP0+Pj4YMWIEvv32W/zrX/9CYWEhvv76a6xevVqv8ygfnAAwbNgw2NnZNdtnoIeUD53u3bs3qaarIWVlZVi2bBmA2uDkp59+Qvv27YX9Q4YMwerVq7Flyxakp6fjhx9+wIwZM5q1DK2Bg4NDo00pMpkMixYtglwuh5GREVavXq13jRXvSVJiJ1kySCkpKcjMzARQ+8tNNThR9c4778DT0xMAcPjwYVRUVOh1HuWD09HRkX8IH5OysjJkZ2cDqA1QmltMTAykUikA4P3331cLTpTmzp2Lzp07A6htCnrw4EGzl4OA9evXCwHGW2+9pfW+bQjvSVJigEIGKSkpSdgeOnSo1nQikQgDBgwAUPvr7fr163qdR/nH9HE8OKlWRkYGFAoFADR77QkAxMfHA6jt6/DKK69oTCMWixEaGgoAuHv3LpKTk5u9HK1dRkaG0LnZ1dUVc+bMaVI+vCdJiU08ZJB8fHwQHh6OO3fuCL98tVE+/ACgqqpK53OUlpbi5s2bAPjH8HFSrbL38vJq1ryrq6tx8eJFAECPHj0aHM3Vt29fYfvMmTPw8/Nr1rK0dl9++SWqq6sBAIsXL0bbtm31zoP3JKligEIGyd/fH/7+/jqlTUxMFLadnZ11Pkd6eroQ3HTp0gU7d+7EoUOHcPnyZVRUVMDBwQF+fn6YMmUKvL299fsAJFBW2VtYWKCmpgbLly/HqVOnkJOTgzZt2sDNzQ1Dhw5FWFgYLC0t9cr7r7/+glwuBwB06tSpwbSurq7CtrL5kJrH0aNHhVqpAQMGIDAwsEn58J4kVQxQqEU7efKk8AD09PTUq0Oe6i/7pUuXoqysTG3/7du3sW/fPuzfvx8zZszAxx9/DCMjtorqS/k9y+VyhISECAEFUFvjlZaWhrS0NPzwww9Yt26dWk1HY+7cuSNsNzaCy87ODiYmJpDJZMjLy9PzU1BD1q1bJ2y///77Tc6H9ySpYoBCLVZhYSGWLFkivNZ3ZIbqcMaysjIMHjwYo0aNgrOzM4qKivDrr78iOjoaMpkMW7duhUKhwPz585ut/K2BTCbDtWvXAACVlZWwsLDAtGnT0K9fP1haWiIrKwt79uzB+fPnIZVKMWPGDOzcuRMvvviiTvkXFRUJ27oMTzY3N4dMJqs3rw413ZkzZ4R5bvz8/ODr69vkvHhPkioGKNQilZeXY/bs2cjNzQVQ+4dx1KhReuWh/LUmEomwYsUKjBkzRm1/YGAgRo8ejWnTpqG8vBwREREYPnw4evbs2SyfoTW4evWqWhNMREQEOnbsKOzv0aMHxowZIwwDrqqqwvz583Hw4EGdfhnLZDJhW5e5TZRpVI+jRxMZGSlsz5w585Hy4j1Jqlg3Ri1OaWkpZs6ciZSUFABAhw4d8M033+hd1fv9999j9+7d2LFjR70/hEo+Pj5qv9C2bdvW1GK3Ss8//zyOHDmCyMjIesGJqo8++kh4yFy7dg0JCQk65S8Wi4VtkUjUaHpl/wZd0lLjrl27ht9++w0A0K1btyb3PVHiPUmqGKBQi5Kfn4+pU6fi999/B1A7M+m2bduatBaHra0tfH19G+3zMHbsWOGX95kzZ9RGDVHDxGIxXF1d0b9/f63BCVAbMEyYMEF4febMGZ3yVx21U1lZ2Wh6Zc0J1+RpHgcPHhTuB+Uw7kfBe5JUMUChFiMjIwPjxo0T2qk7dOiAqKgouLu7P9bzmpqaokuXLgBq28VLSkoe6/laK9U5Um7duqXTMe3atRO279+/32h65UR+1tbW+hWONDpy5AiA2gBz5MiRT+y8vCdbBwYo1CKcPHkSkyZNEkZfKIcgPu7gREl1Tgf2X3g8mvIdqw4rV/ZH0qagoEDI19HRsQklJFU3btzA1atXAQB9+vTROIPv48R78tnHTrJk8Pbu3YvFixcLk0D16tULGzdufKRfwffu3cOlS5dQUFCArl27NjqnQmFhIYDaJgv++tZdWloabt68iYKCAowZMwZmZmZa0xYUFAjb9vb2OuXfsWNHmJubo6KiAjk5OQ2mVU63DwBdu3bVKX/S7tixY8J2c9Se8J6kuhigkEGLiYnBokWLhDbmkSNHYuXKlY/chyAtLQ2zZs0CAIwePRorV67UmjY/P194uL3wwgt6Lx/fmn333XeIi4sDUDuKJyAgQGvaCxcuCNuNrWCrJBKJ0KNHD5w9exYpKSnC4pKaqC6f0KdPH53yJ+1Uv8+mrLlTF+9JqotNPGSwkpKSsHjxYiE4mTJlCtasWdMsHRx79uwpdLI7duxYg23YkZGRQhlCQkIe+dytiepswPv27dOa7v79+/jxxx8B1K6pExQUpPM5lL/eKyoqhGCorpqaGuzZswdA7YRtDFAenXIUnYWFRbM0tfKepLoYoJBBKisrw7x581BTUwMAeO211/CPf/yj2YaHWlhYCPOmlJWV4bPPPhPOpSo+Ph7ff/89gNqZSseNG9cs528tgoODher32NhYHD16tF4auVyOBQsWCB1j33jjDb1GZQUHBwtNQqtWrRLWclG1du1a3LhxAwAQFhbGX9yP6M6dO8IK0t7e3s1yX/KepLpECo7PIgO0adMmrFmzBgDg4OCA9evX6zQRl5OTk/BATExMRFhYGIDaidx27NihlrawsBCvv/668GD08fFBWFgY3NzcUFBQgEOHDiE2NhYKhQJt27ZFREQEf3k3QVxcHD766CMoFAqIxWKMGzcOQUFBkEgkuHLlCqKionDlyhUAtdcgKipKra9KY9cRqB3u+vHHHwMAbGxs8Pe//x2+vr4oLi5GdHS00F/i+eefR3R0tE7/l0g71WsyceJEfP7553ofx3uSGsM+KGSQlNX9AHD37l21OTIasnz5cp3nY7C1tcX27dvx3nvv4fLly/jzzz/xySef1Evn4OCAVatW8Q9hEwUHB0Mmk2Hp0qVCU47q9VV66aWXsGbNmgY70moTEhKCu3fvYtWqVZBKpVixYkW9NJ6entiyZQuDk2agOmKqsTWQ9MF7klQxQCGDU1hY2OiQ0ebi6uqKn376CbGxsTh06BDS09NRUlICiUSCTp06YejQoZg0aZJO67yQdmPGjEG/fv3w73//G6dOnUJ2djZkMhns7e3h4+OD0aNHY+jQoY90junTp8Pf3x9RUVFITEzE3bt3YWxsDA8PDwQHB+ONN97gBG3NpLy8XNjWZ4FOXfCeJCU28RAREZHBYSdZIiIiMjgMUIiIiMjgMEAhIiIig8MAhYiIiAwOAxQiIiIyOAxQiIiIyOAwQCEiIiKDwwCFiIiIDA4DFCIiIjI4DFCIiIjI4DBAITIg1dXVT7sIREQGgQEKtTpDhgxBt27d0K1bt6ddFDX79u3Dxx9/rHFfTEyMUOZ169Y94ZIRET15XM2Y6CkrLy/H7NmzkZiYCD8/v6ddHCIig8AaFKKnTCqVIjEx8WkXg4jIoDBAISIiIoPDAIWIiIgMDgMUIiIiMjjsJEutXmFhISIiInDs2DHcvn0bZmZm6NKlC4YPH44JEyagXbt2DR6fl5eHvXv34vz588jKykJRURFqampgZWUFNzc3BAQEYNKkSbCzs1M7LjExEWFhYWrvnT9/Xhhd5Ofnhx07dmg974ULF/Djjz8iOTkZ9+7dg6WlJTp37oyQkBCEhobCxMRE43HK/CdMmIAvvvgCu3btQmRkJPLy8mBvb48+ffrggw8+gLOzs9pxKSkp2LNnD5KTk5GXl4eamhrY29vD29sbL7/8Ml5++WWIRKIGvysAkMlkiI2NxdGjR3Hp0iVIpVKYmZnByckJ/v7+GD9+PDw8PLQev3DhQuzduxfm5ub4448/UF1djb1792Lfvn24du0aKisr0b59ewQGBmL69OlwcnISjj179ix27tyJixcvorCwENbW1ujVqxdmzpwJHx8fncqcmpqKoqIimJqawt7eHr169UJQUBAGDx7c6GcnIt2JFAqF4mkXguhJGjJkCG7dugUAiI6ORnh4OAoLCzWmdXR0xDfffIO+fftq3L927Vp89913kMvlDZ7T3Nwcq1atwrBhw4T3NAUoqlQDlJiYGHz66acAgNmzZ6O4uBg7d+7UeqyXlxc2btyI9u3b19unGqB07twZK1asUNtvbGyM06dPw8rKCgBQVFSEzz77DPHx8Q1+xu7du2Pt2rVwdXXVmiYpKQkLFiwQvn9NxGIxJk+ejAULFqBNm/q/oVQDlPj4eMyZMwcpKSka87Kzs8O2bdvg6emJL7/8Uut3JhaLsWLFCowaNarevpycHMycORM3btzQWmYA6NWrFzZs2AAbG5sG0xGRbhigUKujGqBYWVmhuLgYVlZWCAoKgrOzM27fvo3Dhw+jqKgIAGBmZoYffvgBL774olo+q1evxpYtWwAAIpEI/v7+8Pb2hoWFBcrLy5GWlobTp0+jpqZGyCcuLg7PPfccACA3NxdxcXEoKSnBpk2bAAAuLi6YNGkSAMDJyQnBwcEA1AOUdu3aoby8HADQs2dP9O7dG+3atUNqaipOnDiBBw8eAAACAgKwffv2ep9fGaD4+/vjwoUL9YKrgQMHYuvWrQCAsrIyTJ06FWlpacLn7NevH3x9fWFsbIyrV68iISEBlZWVAABra2vs2rULXbp0qXfes2fP4u233xbOZ2lpiSFDhsDNzQ0VFRU4d+4c/vOf/wjpBw8ejA0bNsDISL0lWhmgmJqawsPDA5cuXUK7du0wYsQIuLq6Ij8/HwcOHEBpaSkAwNvbG76+vtixYwdMTU0xfPhweHh4QCqVIi4uDnfv3hWuz7Fjx9RqumQyGcaOHYvMzEzhmgwaNAhOTk6oqKjAlStXkJCQIHznjdV6EZEeFEStzODBgxWenp7CvylTpigKCgrU0hQWFiqmTJkipHn11VcVNTU1wv7r168runfvrvD09FR4eXkpzpw5o/FcGRkZiv79+wv5bNiwoV6anJwctbJosmfPHrUy9+nTR5GQkFAv3enTp4VyeXp6KlJSUuqlUc3H09NTsXDhQkVOTo6itLRUkZCQoPZZ5s2bJ6Tr37+/Ijk5uV5+N2/eVISGhgrpgoODFVVVVWpppFKpok+fPkKa8PBwhVQqrZdXXFycwsfHp8Hva8GCBWrlnzBhgqKwsFAtTWZmpsLLy0stXVBQkCI7O7teuYKDg4U027dvV9sfGxurdm0qKyvrlefixYsKX19fId2FCxfqpSEi/bGTLLVqLi4u2LRpE2xtbdXet7GxwcaNG9GhQwcAwOXLl/Hrr78K+w8cOCBMSz9lyhQEBARozL9bt26YPn268Do1NbVZyr18+XIEBgbWe79///5qzRS///57g/m89NJLWL58OTp27AiJRILAwEDhs2RmZuLAgQMAapt9tmzZgt69e9fLw9nZGZGRkUJfj8zMTOzfv18tTUREBEpKSgAAPj4+WLduHaytrevlNXLkSKxcuVJ4/d1336G4uFhr+c3NzbF+/fp6zSru7u5qzWkikQhr166Fi4uLWjpra2vMmjVLeF33+ly8eFHYfvPNN2FqalqvDD4+Ppg2bRqA2qaiP//8U2t5iUh3DFCoVXvvvfe0doKVSCTCgweA8LAGaptHPvnkE0ycOBHjx49v8ByqU+ormx0ehYuLi9rDty5/f39h+/bt2w3m9cYbb2jdFxcXJzRdhISEwMvLS2taS0tLvPvuu8LrPXv2qO0/ePCgsP3JJ59o7FuiNGLECCEQKi8vxy+//KI1bUhICOzt7TXue/7554VtX19ftdeqVK9P3b5IYrFY2P7jjz+0luPNN99EfHw8Ll68qPZ/hoiajgEKtVpGRkYYPnx4g2kGDRokbCcnJwvbfn5+ePvtt/H5559r7G+hJJPJ8Ndffwmvm2MxwF69ejW438HBQdhW9lXRpmfPnlr3nTt3TtgOCgpqtFwjR44URvGkpqbi/v37AIDs7GwhULK2tka/fv10ykvp/PnzWtN5e3tr3afal6R79+5a06kGqDKZTG2fauforVu3Yu7cuThx4gQqKirU0llbW6NTp04wNjbWeh4i0g+HGVOr5eLi0ugQYjc3NxgbG0MulyMvLw9VVVUaq/mrqqqQlZWF7OxsZGdn48aNG7hy5QrS09PVHnqKZuiTXrc5qi7VX/3KGhBNzM3NG8zr5s2bwvYLL7zQaLkkEgk6duyInJwcyOVy5ObmokuXLmr5aKvFqEv1fKrH1+Xo6Kh1n+r3YGlpqTVdQ0OjhwwZAj8/PyFIOnToEA4dOgRjY2P06tULAwcORGBgIDw9PbXmQURNwwCFWi3lMNqGGBkZQSKRQCqVAgCKi4vVHorHjh1DVFQUkpOTtdaOiMViYSRPc2gsqNKVhYVFg/uVo5gA3b4roLYmIScnBwCEviNNzUdTOepq27atTvmpBiv6MDIywoYNG/DPf/4T+/fvFwJMuVyOxMREJCYm4uuvv0anTp3w2muvYerUqTAzM2vSuYhIHQMUokao1nooJz+rrq7GwoUL1fqlKDk4OMDd3R1eXl7o27cvjIyM1DpiGoqG+oHUpcsEbIB6jY1yeLDq96drPqoBXd1hxk0p16OwsLDAV199hXfffRc///wzjh8/jtTUVLXPeuPGDaxevRq7d+/Gjh07hKHkRNR0DFCo1dKlw2pNTQ3KysoA1D4MlbUOmzdvFoITExMTTJo0CUOGDEH37t3rNSecPHmymUv+ZFhaWgpzhChne22MsqYJeFhDo1prorpf13waap55klxdXTF79mxhorykpCScPn0ax48fR15eHoDa5qhPP/0U33///VMuLVHLx06y1Grdvn270U6r165dE9K4u7tDLBZDJpOpTYC2cuVKLFq0CP7+/hofpqojQ5qjD8qT4ubmJmxnZGQ0mr64uFjoDGtkZCRMla+az+XLl3U6t+r5OnbsqNMxT5KVlRWGDRuGJUuWICEhAYsWLRL2nTt3Dnfu3HmKpSN6NjBAoVarqqoKFy5caDDN4cOHhW3l0Nfr168Lc3pYWVmpjTjRJDExUdjWFKA8iWaKpujTp4+w3dg093XTeHl5CZ2JXVxchH47RUVFaqODtFEdWtzYqKXHpaamBgsWLEBoaCgGDBhQb4SPkkgkwptvvolOnToJ7zFAIXp0DFCoVVu3bp3WDqz5+fmIiooSXr/++usA1IeiVlRUoKqqSmv+qampanOAaFqzR7UDZ3N2pn1Uo0aNEoKnn3/+GZcuXdKatrS0FBs3bhReh4SEqO0fO3assP3NN980WHN15MgRYc4RY2NjjBgxoknlf1RisRgZGRm4dOkS7t27h2PHjmlN++DBA7XOvJrWQCIi/TBAoVYtKSkJixcvrvfr+NatW5g5c6YwEmXo0KHCarddunQR5ruQy+VYs2aNxpqRo0ePYsaMGWpBiXLNGlUSiUTYVq4SbAjc3d2FQEMul2PWrFkaa5xyc3MxY8YMoXnHw8MDEydOVEsTFhYmjMy5ePEi5syZo3F0zpEjRzB//nzhdXh4uNaJ2J6E1157TdheunSp2lpBSgqFAitWrBA+T48ePRigEDUDdpKlVsvBwQEVFRWIiYnBmTNnMHz4cNjZ2SErKwuHDx8WJhpzcXHBsmXLhOMkEglCQ0Oxe/duAEBkZCROnz6NgIAA2NjYID8/H2fPnkVWVhaA2tEyNTU1UCgUGh/KEokE1tbWKCoqwq1bt/DOO++gd+/eMDMzw9SpUx//F9GApUuXIj09HZmZmbh37x4mT54Mf39/YbHAzMxMHD9+XAi8LCwssGbNmnrDf+3t7bFq1Sq88847kMvlOH78OIYPH46hQ4fCzc0N9+/fx7lz59Smlh8wYABmz579RD9vXRMnTsRPP/2Ey5cvo6ioCOPGjUP//v3h6ekJW1tbFBQU4NSpU8JigiYmJli4cOFTLTPRs4IBCrVajo6O+PDDD/HBBx8gLy9P4yq0vr6+Gtd6+fTTT/HXX38J/SmuXLmCK1eu1Dv+ueeew1dffYVFixYhJycHBQUFyMvLE9b4UZowYQI2b94MAEhISEBCQgIsLCyeeoAikUiwa9cuzJ8/HydOnIBCocDZs2dx9uzZemm9vb2xZs2aeuvdKP3tb3/Dtm3bMG/ePOTl5aGkpAR79+6tl04kEmHGjBn48MMPmzx/SXMxMTHB1q1bMXv2bKSmpkKhUOD06dM4ffp0vbQODg5YtmzZU+szQ/SsYYBCrdrAgQOxf/9+RERE4Ndff0V+fj4sLCzQvXt3jB49Gq+++qrGTqxmZmaIjIzEvn37cODAAaSnp6OkpASmpqawtbWFp6cnAgMDMWbMGLRt2xYDBgzAjz/+CACIjY2tNy/K3LlzYW1tjZiYGNy8eRNisRiOjo4oLCxsdObYx83S0hKbNm1CUlIS9u/fj6SkJOTn50Mul8POzg49evRAcHAwgoKCGpyzBKhdIuDw4cOIiYnB8ePHkZGRAalUijZt2sDFxQUBAQEYP348PDw8ntCna5yjoyOio6Pxyy+/ID4+HpcuXUJBQQGqq6tha2sLd3d3DB48GKGhoWrNdUT0aESKljTukYiIiFoFdpIlIiIig8MAhYiIiAwOAxQiIiIyOAxQiIiIyOAwQCEiIiKDwwCFiIiIDA4DFCIiIjI4DFCIiIjI4DBAISIiIoPDAIWIiIgMDgMUIiIiMjgMUIiIiMjgMEAhIiIig8MAhYiIiAwOAxQiIiIyOAxQiIiIyOD8P/EjwLhqJbxQAAAAAElFTkSuQmCC", + "image/png": "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", "text/plain": [ "
" ] @@ -988,7 +988,7 @@ }, { "cell_type": "code", - "execution_count": 328, + "execution_count": 484, "metadata": {}, "outputs": [ { @@ -1008,7 +1008,7 @@ "dtype: int64" ] }, - "execution_count": 328, + "execution_count": 484, "metadata": {}, "output_type": "execute_result" } @@ -1020,7 +1020,7 @@ }, { "cell_type": "code", - "execution_count": 329, + "execution_count": 485, "metadata": {}, "outputs": [ { @@ -1057,7 +1057,7 @@ }, { "cell_type": "code", - "execution_count": 330, + "execution_count": 486, "metadata": {}, "outputs": [ { @@ -1069,7 +1069,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 330, + "execution_count": 486, "metadata": {}, "output_type": "execute_result" } @@ -1088,7 +1088,7 @@ }, { "cell_type": "code", - "execution_count": 331, + "execution_count": 487, "metadata": {}, "outputs": [], "source": [ @@ -1097,7 +1097,7 @@ }, { "cell_type": "code", - "execution_count": 332, + "execution_count": 488, "metadata": {}, "outputs": [ { @@ -1109,7 +1109,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 332, + "execution_count": 488, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 333, + "execution_count": 489, "metadata": {}, "outputs": [ { @@ -1140,7 +1140,7 @@ "dtype: int64" ] }, - "execution_count": 333, + "execution_count": 489, "metadata": {}, "output_type": "execute_result" } @@ -1172,7 +1172,7 @@ }, { "cell_type": "code", - "execution_count": 334, + "execution_count": 490, "metadata": {}, "outputs": [ { @@ -1235,7 +1235,7 @@ }, { "cell_type": "code", - "execution_count": 335, + "execution_count": 491, "metadata": {}, "outputs": [], "source": [ @@ -1244,7 +1244,7 @@ }, { "cell_type": "code", - "execution_count": 336, + "execution_count": 492, "metadata": {}, "outputs": [ { @@ -1255,7 +1255,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 336, + "execution_count": 492, "metadata": {}, "output_type": "execute_result" } @@ -1266,7 +1266,7 @@ }, { "cell_type": "code", - "execution_count": 337, + "execution_count": 493, "metadata": {}, "outputs": [], "source": [ @@ -1275,7 +1275,7 @@ }, { "cell_type": "code", - "execution_count": 338, + "execution_count": 494, "metadata": {}, "outputs": [ { @@ -1284,7 +1284,7 @@ "(46360, 11)" ] }, - "execution_count": 338, + "execution_count": 494, "metadata": {}, "output_type": "execute_result" } @@ -1295,7 +1295,7 @@ }, { "cell_type": "code", - "execution_count": 339, + "execution_count": 495, "metadata": {}, "outputs": [], "source": [ @@ -1304,7 +1304,7 @@ }, { "cell_type": "code", - "execution_count": 340, + "execution_count": 496, "metadata": {}, "outputs": [ { @@ -1531,7 +1531,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 340, + "execution_count": 496, "metadata": {}, "output_type": "execute_result" } @@ -1542,7 +1542,7 @@ }, { "cell_type": "code", - "execution_count": 341, + "execution_count": 497, "metadata": {}, "outputs": [ { @@ -1576,7 +1576,7 @@ }, { "cell_type": "code", - "execution_count": 342, + "execution_count": 498, "metadata": {}, "outputs": [ { @@ -1597,7 +1597,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 342, + "execution_count": 498, "metadata": {}, "output_type": "execute_result" } @@ -1615,7 +1615,7 @@ }, { "cell_type": "code", - "execution_count": 343, + "execution_count": 499, "metadata": {}, "outputs": [], "source": [ @@ -1625,7 +1625,7 @@ }, { "cell_type": "code", - "execution_count": 344, + "execution_count": 500, "metadata": {}, "outputs": [ { @@ -1677,7 +1677,7 @@ }, { "cell_type": "code", - "execution_count": 345, + "execution_count": 501, "metadata": {}, "outputs": [ { @@ -1686,7 +1686,7 @@ "array(['NO', 'YES'], dtype=object)" ] }, - "execution_count": 345, + "execution_count": 501, "metadata": {}, "output_type": "execute_result" } @@ -1708,7 +1708,7 @@ }, { "cell_type": "code", - "execution_count": 346, + "execution_count": 502, "metadata": {}, "outputs": [ { @@ -1717,7 +1717,7 @@ "array([0., 0., 0., ..., 0., 0., 0.])" ] }, - "execution_count": 346, + "execution_count": 502, "metadata": {}, "output_type": "execute_result" } @@ -1736,7 +1736,7 @@ }, { "cell_type": "code", - "execution_count": 347, + "execution_count": 503, "metadata": {}, "outputs": [ { @@ -1963,7 +1963,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 347, + "execution_count": 503, "metadata": {}, "output_type": "execute_result" } @@ -1978,7 +1978,7 @@ }, { "cell_type": "code", - "execution_count": 348, + "execution_count": 504, "metadata": {}, "outputs": [ { @@ -1990,7 +1990,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 348, + "execution_count": 504, "metadata": {}, "output_type": "execute_result" } @@ -2008,7 +2008,7 @@ }, { "cell_type": "code", - "execution_count": 349, + "execution_count": 505, "metadata": {}, "outputs": [ { @@ -2023,7 +2023,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 349, + "execution_count": 505, "metadata": {}, "output_type": "execute_result" } @@ -2034,7 +2034,7 @@ }, { "cell_type": "code", - "execution_count": 350, + "execution_count": 506, "metadata": {}, "outputs": [], "source": [ @@ -2049,7 +2049,7 @@ }, { "cell_type": "code", - "execution_count": 351, + "execution_count": 507, "metadata": {}, "outputs": [ { @@ -2069,7 +2069,7 @@ "Name: condition, Length: 21420, dtype: int64" ] }, - "execution_count": 351, + "execution_count": 507, "metadata": {}, "output_type": "execute_result" } @@ -2080,7 +2080,7 @@ }, { "cell_type": "code", - "execution_count": 352, + "execution_count": 508, "metadata": {}, "outputs": [ { @@ -2095,7 +2095,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 352, + "execution_count": 508, "metadata": {}, "output_type": "execute_result" } @@ -2107,7 +2107,7 @@ }, { "cell_type": "code", - "execution_count": 353, + "execution_count": 509, "metadata": {}, "outputs": [ { @@ -2150,7 +2150,7 @@ }, { "cell_type": "code", - "execution_count": 354, + "execution_count": 510, "metadata": {}, "outputs": [], "source": [ @@ -2166,7 +2166,7 @@ }, { "cell_type": "code", - "execution_count": 355, + "execution_count": 511, "metadata": {}, "outputs": [ { @@ -2225,7 +2225,7 @@ }, { "cell_type": "code", - "execution_count": 356, + "execution_count": 512, "metadata": {}, "outputs": [], "source": [ @@ -2250,7 +2250,7 @@ }, { "cell_type": "code", - "execution_count": 357, + "execution_count": 513, "metadata": {}, "outputs": [ { @@ -2271,7 +2271,7 @@ }, { "cell_type": "code", - "execution_count": 358, + "execution_count": 514, "metadata": {}, "outputs": [ { @@ -2319,7 +2319,7 @@ }, { "cell_type": "code", - "execution_count": 359, + "execution_count": 515, "metadata": {}, "outputs": [ { @@ -2350,7 +2350,7 @@ }, { "cell_type": "code", - "execution_count": 360, + "execution_count": 516, "metadata": {}, "outputs": [ { @@ -2398,7 +2398,7 @@ }, { "cell_type": "code", - "execution_count": 361, + "execution_count": 517, "metadata": {}, "outputs": [ { @@ -2424,7 +2424,7 @@ }, { "cell_type": "code", - "execution_count": 362, + "execution_count": 518, "metadata": {}, "outputs": [ { @@ -2472,7 +2472,7 @@ }, { "cell_type": "code", - "execution_count": 363, + "execution_count": 519, "metadata": {}, "outputs": [ { @@ -2498,7 +2498,7 @@ }, { "cell_type": "code", - "execution_count": 364, + "execution_count": 520, "metadata": {}, "outputs": [ { @@ -2540,7 +2540,7 @@ }, { "cell_type": "code", - "execution_count": 365, + "execution_count": 521, "metadata": {}, "outputs": [], "source": [ @@ -2551,7 +2551,7 @@ }, { "cell_type": "code", - "execution_count": 366, + "execution_count": 522, "metadata": {}, "outputs": [ { @@ -2585,7 +2585,7 @@ }, { "cell_type": "code", - "execution_count": 367, + "execution_count": 523, "metadata": {}, "outputs": [], "source": [ @@ -2595,7 +2595,7 @@ }, { "cell_type": "code", - "execution_count": 368, + "execution_count": 524, "metadata": {}, "outputs": [ { @@ -2674,7 +2674,7 @@ }, { "cell_type": "code", - "execution_count": 369, + "execution_count": 525, "metadata": {}, "outputs": [ { @@ -2721,7 +2721,7 @@ }, { "cell_type": "code", - "execution_count": 370, + "execution_count": 526, "metadata": {}, "outputs": [ { @@ -2747,7 +2747,7 @@ }, { "cell_type": "code", - "execution_count": 371, + "execution_count": 527, "metadata": {}, "outputs": [ { @@ -2769,7 +2769,7 @@ }, { "cell_type": "code", - "execution_count": 372, + "execution_count": 528, "metadata": {}, "outputs": [ { @@ -2800,7 +2800,7 @@ }, { "cell_type": "code", - "execution_count": 373, + "execution_count": 529, "metadata": {}, "outputs": [ { @@ -2823,7 +2823,7 @@ }, { "cell_type": "code", - "execution_count": 374, + "execution_count": 530, "metadata": {}, "outputs": [ { @@ -2845,7 +2845,7 @@ }, { "cell_type": "code", - "execution_count": 375, + "execution_count": 531, "metadata": {}, "outputs": [ { @@ -2883,7 +2883,7 @@ }, { "cell_type": "code", - "execution_count": 376, + "execution_count": 532, "metadata": {}, "outputs": [ { @@ -2923,7 +2923,7 @@ }, { "cell_type": "code", - "execution_count": 377, + "execution_count": 533, "metadata": {}, "outputs": [ { @@ -2961,7 +2961,7 @@ }, { "cell_type": "code", - "execution_count": 378, + "execution_count": 534, "metadata": {}, "outputs": [ { @@ -3113,7 +3113,7 @@ }, { "cell_type": "code", - "execution_count": 379, + "execution_count": 535, "metadata": {}, "outputs": [ { @@ -3337,7 +3337,7 @@ "yr_built 0.492854 -0.032005 -0.361670 0.452886 1.000000 " ] }, - "execution_count": 379, + "execution_count": 535, "metadata": {}, "output_type": "execute_result" } @@ -3374,7 +3374,7 @@ }, { "cell_type": "code", - "execution_count": 380, + "execution_count": 536, "metadata": {}, "outputs": [ { @@ -3408,7 +3408,7 @@ }, { "cell_type": "code", - "execution_count": 381, + "execution_count": 537, "metadata": {}, "outputs": [ { @@ -3475,7 +3475,7 @@ "4 1680 8" ] }, - "execution_count": 381, + "execution_count": 537, "metadata": {}, "output_type": "execute_result" } @@ -3496,7 +3496,7 @@ }, { "cell_type": "code", - "execution_count": 382, + "execution_count": 538, "metadata": {}, "outputs": [ { @@ -3614,7 +3614,7 @@ "[20978 rows x 3 columns]" ] }, - "execution_count": 382, + "execution_count": 538, "metadata": {}, "output_type": "execute_result" } @@ -3629,7 +3629,7 @@ }, { "cell_type": "code", - "execution_count": 383, + "execution_count": 539, "metadata": {}, "outputs": [], "source": [ @@ -3638,7 +3638,7 @@ }, { "cell_type": "code", - "execution_count": 384, + "execution_count": 540, "metadata": {}, "outputs": [ { @@ -3659,7 +3659,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 13:57:31 Log-Likelihood: -2.8743e+05\n", + " Time: 14:23:32 Log-Likelihood: -2.8743e+05\n", "\n", "\n", " No. Observations: 20978 AIC: 5.749e+05 \n", @@ -3711,7 +3711,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.486 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 9901. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 13:57:31 & \\textbf{ Log-Likelihood: } & -2.8743e+05 \\\\\n", + "\\textbf{Time:} & 14:23:32 & \\textbf{ Log-Likelihood: } & -2.8743e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & 5.749e+05 \\\\\n", "\\textbf{Df Residuals:} & 20975 & \\textbf{ BIC: } & 5.749e+05 \\\\\n", "\\textbf{Df Model:} & 2 & \\textbf{ } & \\\\\n", @@ -3750,7 +3750,7 @@ "Model: OLS Adj. R-squared: 0.486\n", "Method: Least Squares F-statistic: 9901.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 13:57:31 Log-Likelihood: -2.8743e+05\n", + "Time: 14:23:32 Log-Likelihood: -2.8743e+05\n", "No. Observations: 20978 AIC: 5.749e+05\n", "Df Residuals: 20975 BIC: 5.749e+05\n", "Df Model: 2 \n", @@ -3775,7 +3775,7 @@ "\"\"\"" ] }, - "execution_count": 384, + "execution_count": 540, "metadata": {}, "output_type": "execute_result" } @@ -3800,7 +3800,7 @@ }, { "cell_type": "code", - "execution_count": 385, + "execution_count": 541, "metadata": {}, "outputs": [], "source": [ @@ -3810,7 +3810,7 @@ }, { "cell_type": "code", - "execution_count": 386, + "execution_count": 542, "metadata": {}, "outputs": [], "source": [ @@ -3819,7 +3819,7 @@ }, { "cell_type": "code", - "execution_count": 387, + "execution_count": 543, "metadata": {}, "outputs": [ { @@ -3841,7 +3841,7 @@ }, { "cell_type": "code", - "execution_count": 388, + "execution_count": 544, "metadata": {}, "outputs": [ { @@ -4044,7 +4044,7 @@ "[15733 rows x 9 columns]" ] }, - "execution_count": 388, + "execution_count": 544, "metadata": {}, "output_type": "execute_result" } @@ -4088,7 +4088,7 @@ }, { "cell_type": "code", - "execution_count": 389, + "execution_count": 545, "metadata": {}, "outputs": [ { @@ -4097,7 +4097,7 @@ "[array([1, 2, 3, 4, 5], dtype=int64)]" ] }, - "execution_count": 389, + "execution_count": 545, "metadata": {}, "output_type": "execute_result" } @@ -4120,7 +4120,7 @@ }, { "cell_type": "code", - "execution_count": 390, + "execution_count": 546, "metadata": {}, "outputs": [ { @@ -4135,7 +4135,7 @@ " [0., 0., 0., 1., 0.]])" ] }, - "execution_count": 390, + "execution_count": 546, "metadata": {}, "output_type": "execute_result" } @@ -4152,7 +4152,7 @@ }, { "cell_type": "code", - "execution_count": 391, + "execution_count": 547, "metadata": {}, "outputs": [ { @@ -4294,7 +4294,7 @@ "[15733 rows x 5 columns]" ] }, - "execution_count": 391, + "execution_count": 547, "metadata": {}, "output_type": "execute_result" } @@ -4320,7 +4320,7 @@ }, { "cell_type": "code", - "execution_count": 392, + "execution_count": 548, "metadata": {}, "outputs": [ { @@ -4511,7 +4511,7 @@ "[15733 rows x 8 columns]" ] }, - "execution_count": 392, + "execution_count": 548, "metadata": {}, "output_type": "execute_result" } @@ -4524,7 +4524,7 @@ }, { "cell_type": "code", - "execution_count": 393, + "execution_count": 549, "metadata": {}, "outputs": [ { @@ -4775,7 +4775,7 @@ "[15733 rows x 13 columns]" ] }, - "execution_count": 393, + "execution_count": 549, "metadata": {}, "output_type": "execute_result" } @@ -4800,7 +4800,7 @@ }, { "cell_type": "code", - "execution_count": 394, + "execution_count": 550, "metadata": {}, "outputs": [ { @@ -5039,7 +5039,7 @@ "[15733 rows x 12 columns]" ] }, - "execution_count": 394, + "execution_count": 550, "metadata": {}, "output_type": "execute_result" } @@ -5052,7 +5052,7 @@ }, { "cell_type": "code", - "execution_count": 395, + "execution_count": 551, "metadata": {}, "outputs": [ { @@ -5087,13 +5087,13 @@ }, { "cell_type": "code", - "execution_count": 396, + "execution_count": 552, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "LinearRegression()" ] }, - "execution_count": 396, + "execution_count": 552, "metadata": {}, "output_type": "execute_result" } @@ -5519,7 +5519,7 @@ }, { "cell_type": "code", - "execution_count": 397, + "execution_count": 553, "metadata": {}, "outputs": [ { @@ -5528,7 +5528,7 @@ "array([0.61210062, 0.60849282, 0.59087099])" ] }, - "execution_count": 397, + "execution_count": 553, "metadata": {}, "output_type": "execute_result" } @@ -5548,7 +5548,7 @@ }, { "cell_type": "code", - "execution_count": 398, + "execution_count": 554, "metadata": {}, "outputs": [], "source": [ @@ -5558,7 +5558,7 @@ }, { "cell_type": "code", - "execution_count": 399, + "execution_count": 555, "metadata": {}, "outputs": [ { @@ -5761,7 +5761,7 @@ "[5245 rows x 9 columns]" ] }, - "execution_count": 399, + "execution_count": 555, "metadata": {}, "output_type": "execute_result" } @@ -5772,7 +5772,7 @@ }, { "cell_type": "code", - "execution_count": 400, + "execution_count": 556, "metadata": {}, "outputs": [ { @@ -6023,7 +6023,7 @@ "[5245 rows x 13 columns]" ] }, - "execution_count": 400, + "execution_count": 556, "metadata": {}, "output_type": "execute_result" } @@ -6053,7 +6053,7 @@ }, { "cell_type": "code", - "execution_count": 401, + "execution_count": 557, "metadata": {}, "outputs": [ { @@ -6292,7 +6292,7 @@ "[5245 rows x 12 columns]" ] }, - "execution_count": 401, + "execution_count": 557, "metadata": {}, "output_type": "execute_result" } @@ -6304,7 +6304,7 @@ }, { "cell_type": "code", - "execution_count": 402, + "execution_count": 558, "metadata": {}, "outputs": [ { @@ -6313,7 +6313,7 @@ "0.617288818755894" ] }, - "execution_count": 402, + "execution_count": 558, "metadata": {}, "output_type": "execute_result" } @@ -6328,7 +6328,7 @@ }, { "cell_type": "code", - "execution_count": 403, + "execution_count": 559, "metadata": {}, "outputs": [ { @@ -6363,7 +6363,7 @@ }, { "cell_type": "code", - "execution_count": 404, + "execution_count": 560, "metadata": {}, "outputs": [ { @@ -6402,7 +6402,7 @@ }, { "cell_type": "code", - "execution_count": 405, + "execution_count": 561, "metadata": {}, "outputs": [ { @@ -6443,7 +6443,7 @@ }, { "cell_type": "code", - "execution_count": 406, + "execution_count": 562, "metadata": {}, "outputs": [], "source": [ @@ -6452,7 +6452,7 @@ }, { "cell_type": "code", - "execution_count": 407, + "execution_count": 563, "metadata": {}, "outputs": [ { @@ -6484,7 +6484,7 @@ }, { "cell_type": "code", - "execution_count": 408, + "execution_count": 564, "metadata": {}, "outputs": [], "source": [ @@ -6493,7 +6493,7 @@ }, { "cell_type": "code", - "execution_count": 409, + "execution_count": 565, "metadata": {}, "outputs": [ { @@ -6524,7 +6524,7 @@ }, { "cell_type": "code", - "execution_count": 410, + "execution_count": 566, "metadata": {}, "outputs": [], "source": [ @@ -6534,7 +6534,7 @@ }, { "cell_type": "code", - "execution_count": 411, + "execution_count": 567, "metadata": {}, "outputs": [ { @@ -6785,7 +6785,7 @@ "[15733 rows x 13 columns]" ] }, - "execution_count": 411, + "execution_count": 567, "metadata": {}, "output_type": "execute_result" } @@ -6797,7 +6797,7 @@ }, { "cell_type": "code", - "execution_count": 412, + "execution_count": 568, "metadata": {}, "outputs": [], "source": [ @@ -6806,7 +6806,7 @@ }, { "cell_type": "code", - "execution_count": 413, + "execution_count": 569, "metadata": {}, "outputs": [ { @@ -6827,7 +6827,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 13:57:44 Log-Likelihood: -2.1360e+05\n", + " Time: 14:23:43 Log-Likelihood: -2.1360e+05\n", "\n", "\n", " No. Observations: 15733 AIC: 4.272e+05 \n", @@ -6909,7 +6909,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.605 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2010. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 13:57:44 & \\textbf{ Log-Likelihood: } & -2.1360e+05 \\\\\n", + "\\textbf{Time:} & 14:23:43 & \\textbf{ Log-Likelihood: } & -2.1360e+05 \\\\\n", "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.272e+05 \\\\\n", "\\textbf{Df Residuals:} & 15720 & \\textbf{ BIC: } & 4.273e+05 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -6958,7 +6958,7 @@ "Model: OLS Adj. R-squared: 0.605\n", "Method: Least Squares F-statistic: 2010.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 13:57:44 Log-Likelihood: -2.1360e+05\n", + "Time: 14:23:43 Log-Likelihood: -2.1360e+05\n", "No. Observations: 15733 AIC: 4.272e+05\n", "Df Residuals: 15720 BIC: 4.273e+05\n", "Df Model: 12 \n", @@ -6993,7 +6993,7 @@ "\"\"\"" ] }, - "execution_count": 413, + "execution_count": 569, "metadata": {}, "output_type": "execute_result" } @@ -7018,7 +7018,7 @@ }, { "cell_type": "code", - "execution_count": 414, + "execution_count": 570, "metadata": {}, "outputs": [ { @@ -7053,7 +7053,7 @@ }, { "cell_type": "code", - "execution_count": 415, + "execution_count": 571, "metadata": {}, "outputs": [ { @@ -7088,7 +7088,7 @@ }, { "cell_type": "code", - "execution_count": 416, + "execution_count": 572, "metadata": {}, "outputs": [ { @@ -7123,7 +7123,7 @@ }, { "cell_type": "code", - "execution_count": 417, + "execution_count": 573, "metadata": {}, "outputs": [ { @@ -7277,7 +7277,7 @@ "[15733 rows x 6 columns]" ] }, - "execution_count": 417, + "execution_count": 573, "metadata": {}, "output_type": "execute_result" } @@ -7295,7 +7295,7 @@ }, { "cell_type": "code", - "execution_count": 418, + "execution_count": 574, "metadata": {}, "outputs": [ { @@ -7334,7 +7334,7 @@ }, { "cell_type": "code", - "execution_count": 419, + "execution_count": 575, "metadata": {}, "outputs": [ { @@ -7355,7 +7355,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 13:57:56 Log-Likelihood: -2.1596e+05\n", + " Time: 14:23:51 Log-Likelihood: -2.1596e+05\n", "\n", "\n", " No. Observations: 15733 AIC: 4.319e+05 \n", @@ -7419,7 +7419,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.467 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2300. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 13:57:56 & \\textbf{ Log-Likelihood: } & -2.1596e+05 \\\\\n", + "\\textbf{Time:} & 14:23:51 & \\textbf{ Log-Likelihood: } & -2.1596e+05 \\\\\n", "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.319e+05 \\\\\n", "\\textbf{Df Residuals:} & 15726 & \\textbf{ BIC: } & 4.320e+05 \\\\\n", "\\textbf{Df Model:} & 6 & \\textbf{ } & \\\\\n", @@ -7462,7 +7462,7 @@ "Model: OLS Adj. R-squared: 0.467\n", "Method: Least Squares F-statistic: 2300.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 13:57:56 Log-Likelihood: -2.1596e+05\n", + "Time: 14:23:51 Log-Likelihood: -2.1596e+05\n", "No. Observations: 15733 AIC: 4.319e+05\n", "Df Residuals: 15726 BIC: 4.320e+05\n", "Df Model: 6 \n", @@ -7491,7 +7491,7 @@ "\"\"\"" ] }, - "execution_count": 419, + "execution_count": 575, "metadata": {}, "output_type": "execute_result" } @@ -7511,7 +7511,7 @@ }, { "cell_type": "code", - "execution_count": 420, + "execution_count": 576, "metadata": {}, "outputs": [], "source": [ @@ -7520,7 +7520,7 @@ }, { "cell_type": "code", - "execution_count": 421, + "execution_count": 577, "metadata": {}, "outputs": [ { @@ -7575,7 +7575,7 @@ }, { "cell_type": "code", - "execution_count": 422, + "execution_count": 578, "metadata": {}, "outputs": [ { @@ -7614,7 +7614,7 @@ }, { "cell_type": "code", - "execution_count": 423, + "execution_count": 579, "metadata": {}, "outputs": [ { @@ -7681,7 +7681,7 @@ "2 sqft_living grade 0.481743 0.476978 Yes" ] }, - "execution_count": 423, + "execution_count": 579, "metadata": {}, "output_type": "execute_result" } @@ -7765,7 +7765,7 @@ }, { "cell_type": "code", - "execution_count": 424, + "execution_count": 580, "metadata": {}, "outputs": [ { @@ -7799,7 +7799,7 @@ }, { "cell_type": "code", - "execution_count": 425, + "execution_count": 581, "metadata": {}, "outputs": [ { @@ -7828,7 +7828,7 @@ }, { "cell_type": "code", - "execution_count": 426, + "execution_count": 582, "metadata": {}, "outputs": [ { @@ -7847,7 +7847,7 @@ }, { "cell_type": "code", - "execution_count": 427, + "execution_count": 583, "metadata": {}, "outputs": [ { @@ -7856,7 +7856,7 @@ "[array([1, 2, 3, 4, 5], dtype=int64)]" ] }, - "execution_count": 427, + "execution_count": 583, "metadata": {}, "output_type": "execute_result" } @@ -7870,7 +7870,7 @@ }, { "cell_type": "code", - "execution_count": 428, + "execution_count": 584, "metadata": {}, "outputs": [ { @@ -7880,7 +7880,7 @@ "\twith 20978 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 428, + "execution_count": 584, "metadata": {}, "output_type": "execute_result" } @@ -7893,7 +7893,7 @@ }, { "cell_type": "code", - "execution_count": 430, + "execution_count": 585, "metadata": {}, "outputs": [ { @@ -7933,7 +7933,7 @@ }, { "cell_type": "code", - "execution_count": 431, + "execution_count": 586, "metadata": {}, "outputs": [ { @@ -8148,7 +8148,7 @@ "[20978 rows x 10 columns]" ] }, - "execution_count": 431, + "execution_count": 586, "metadata": {}, "output_type": "execute_result" } @@ -8160,7 +8160,7 @@ }, { "cell_type": "code", - "execution_count": 433, + "execution_count": 587, "metadata": {}, "outputs": [ { @@ -8216,7 +8216,7 @@ }, { "cell_type": "code", - "execution_count": 434, + "execution_count": 588, "metadata": {}, "outputs": [ { @@ -8479,7 +8479,7 @@ "[20978 rows x 14 columns]" ] }, - "execution_count": 434, + "execution_count": 588, "metadata": {}, "output_type": "execute_result" } @@ -8491,7 +8491,7 @@ }, { "cell_type": "code", - "execution_count": 435, + "execution_count": 589, "metadata": {}, "outputs": [ { @@ -8742,7 +8742,7 @@ "[20978 rows x 13 columns]" ] }, - "execution_count": 435, + "execution_count": 589, "metadata": {}, "output_type": "execute_result" } @@ -8754,7 +8754,7 @@ }, { "cell_type": "code", - "execution_count": 436, + "execution_count": 590, "metadata": {}, "outputs": [ { @@ -8888,7 +8888,7 @@ "4 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 436, + "execution_count": 590, "metadata": {}, "output_type": "execute_result" } @@ -8901,7 +8901,7 @@ }, { "cell_type": "code", - "execution_count": 437, + "execution_count": 591, "metadata": {}, "outputs": [ { @@ -9152,7 +9152,7 @@ "[20978 rows x 13 columns]" ] }, - "execution_count": 437, + "execution_count": 591, "metadata": {}, "output_type": "execute_result" } @@ -9165,7 +9165,7 @@ }, { "cell_type": "code", - "execution_count": 438, + "execution_count": 592, "metadata": {}, "outputs": [], "source": [ @@ -9174,7 +9174,7 @@ }, { "cell_type": "code", - "execution_count": 439, + "execution_count": 593, "metadata": {}, "outputs": [ { @@ -9195,7 +9195,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:03:26 Log-Likelihood: -2.8457e+05\n", + " Time: 14:23:55 Log-Likelihood: -2.8457e+05\n", "\n", "\n", " No. Observations: 20978 AIC: 5.692e+05 \n", @@ -9277,7 +9277,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.608 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2714. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:03:26 & \\textbf{ Log-Likelihood: } & -2.8457e+05 \\\\\n", + "\\textbf{Time:} & 14:23:55 & \\textbf{ Log-Likelihood: } & -2.8457e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & 5.692e+05 \\\\\n", "\\textbf{Df Residuals:} & 20965 & \\textbf{ BIC: } & 5.693e+05 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -9326,7 +9326,7 @@ "Model: OLS Adj. R-squared: 0.608\n", "Method: Least Squares F-statistic: 2714.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:03:26 Log-Likelihood: -2.8457e+05\n", + "Time: 14:23:55 Log-Likelihood: -2.8457e+05\n", "No. Observations: 20978 AIC: 5.692e+05\n", "Df Residuals: 20965 BIC: 5.693e+05\n", "Df Model: 12 \n", @@ -9361,7 +9361,7 @@ "\"\"\"" ] }, - "execution_count": 439, + "execution_count": 593, "metadata": {}, "output_type": "execute_result" } @@ -9372,7 +9372,7 @@ }, { "cell_type": "code", - "execution_count": 440, + "execution_count": 594, "metadata": {}, "outputs": [], "source": [ @@ -9381,7 +9381,7 @@ }, { "cell_type": "code", - "execution_count": 441, + "execution_count": 595, "metadata": {}, "outputs": [ { @@ -9403,7 +9403,7 @@ }, { "cell_type": "code", - "execution_count": 442, + "execution_count": 596, "metadata": {}, "outputs": [], "source": [ @@ -9413,7 +9413,7 @@ }, { "cell_type": "code", - "execution_count": 445, + "execution_count": 598, "metadata": {}, "outputs": [ { @@ -9422,7 +9422,7 @@ "0.6172888187558685" ] }, - "execution_count": 445, + "execution_count": 598, "metadata": {}, "output_type": "execute_result" } @@ -9431,21 +9431,22 @@ "import pandas as pd\n", "from sklearn.linear_model import LinearRegression\n", "\n", - "# Convert all column names to strings\n", + "# Convert all column names to strings for both training and test sets\n", + "X3_train_final.columns = X3_train_final.columns.astype(str)\n", "X3_test_final.columns = X3_test_final.columns.astype(str)\n", "\n", - "\n", "# Create and fit the LinearRegression model\n", "final_model1 = LinearRegression()\n", "final_model1.fit(X3_train_final, y3_train)\n", "\n", "# Evaluate the model\n", - "final_model1.score(X3_test_final, y3_test)\n" + "final_model1.score(X3_test_final, y3_test)\n", + "\n" ] }, { "cell_type": "code", - "execution_count": 446, + "execution_count": 599, "metadata": {}, "outputs": [ { @@ -9487,7 +9488,7 @@ }, { "cell_type": "code", - "execution_count": 447, + "execution_count": 600, "metadata": {}, "outputs": [ { @@ -9524,7 +9525,7 @@ }, { "cell_type": "code", - "execution_count": 448, + "execution_count": 601, "metadata": {}, "outputs": [ { @@ -9664,7 +9665,7 @@ "4 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 448, + "execution_count": 601, "metadata": {}, "output_type": "execute_result" } @@ -9676,7 +9677,7 @@ }, { "cell_type": "code", - "execution_count": 449, + "execution_count": 602, "metadata": {}, "outputs": [], "source": [ @@ -9686,7 +9687,7 @@ }, { "cell_type": "code", - "execution_count": 450, + "execution_count": 603, "metadata": {}, "outputs": [ { @@ -9804,7 +9805,7 @@ "[20978 rows x 3 columns]" ] }, - "execution_count": 450, + "execution_count": 603, "metadata": {}, "output_type": "execute_result" } @@ -9815,7 +9816,7 @@ }, { "cell_type": "code", - "execution_count": 451, + "execution_count": 604, "metadata": {}, "outputs": [], "source": [ @@ -9838,7 +9839,7 @@ }, { "cell_type": "code", - "execution_count": 452, + "execution_count": 605, "metadata": {}, "outputs": [], "source": [ @@ -9848,7 +9849,7 @@ }, { "cell_type": "code", - "execution_count": 453, + "execution_count": 606, "metadata": {}, "outputs": [ { @@ -10000,7 +10001,7 @@ "4 8080 1.0 0.0 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 453, + "execution_count": 606, "metadata": {}, "output_type": "execute_result" } @@ -10012,7 +10013,7 @@ }, { "cell_type": "code", - "execution_count": 454, + "execution_count": 607, "metadata": {}, "outputs": [ { @@ -10158,7 +10159,7 @@ "4 1.0 0.0 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 454, + "execution_count": 607, "metadata": {}, "output_type": "execute_result" } @@ -10170,7 +10171,7 @@ }, { "cell_type": "code", - "execution_count": 455, + "execution_count": 608, "metadata": {}, "outputs": [ { @@ -10310,7 +10311,7 @@ "4 0.0 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 455, + "execution_count": 608, "metadata": {}, "output_type": "execute_result" } @@ -10322,7 +10323,7 @@ }, { "cell_type": "code", - "execution_count": 456, + "execution_count": 609, "metadata": {}, "outputs": [], "source": [ @@ -10331,7 +10332,7 @@ }, { "cell_type": "code", - "execution_count": 457, + "execution_count": 610, "metadata": {}, "outputs": [ { @@ -10352,7 +10353,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:09:35 Log-Likelihood: 6.2012e+05\n", + " Time: 14:26:14 Log-Likelihood: 6.2012e+05\n", "\n", "\n", " No. Observations: 20978 AIC: -1.240e+06\n", @@ -10437,7 +10438,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 1.000 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1.306e+30 \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:09:35 & \\textbf{ Log-Likelihood: } & 6.2012e+05 \\\\\n", + "\\textbf{Time:} & 14:26:14 & \\textbf{ Log-Likelihood: } & 6.2012e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & -1.240e+06 \\\\\n", "\\textbf{Df Residuals:} & 20964 & \\textbf{ BIC: } & -1.240e+06 \\\\\n", "\\textbf{Df Model:} & 13 & \\textbf{ } & \\\\\n", @@ -10487,7 +10488,7 @@ "Model: OLS Adj. R-squared: 1.000\n", "Method: Least Squares F-statistic: 1.306e+30\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:09:35 Log-Likelihood: 6.2012e+05\n", + "Time: 14:26:14 Log-Likelihood: 6.2012e+05\n", "No. Observations: 20978 AIC: -1.240e+06\n", "Df Residuals: 20964 BIC: -1.240e+06\n", "Df Model: 13 \n", @@ -10523,7 +10524,7 @@ "\"\"\"" ] }, - "execution_count": 457, + "execution_count": 610, "metadata": {}, "output_type": "execute_result" } @@ -10551,7 +10552,7 @@ }, { "cell_type": "code", - "execution_count": 458, + "execution_count": 611, "metadata": {}, "outputs": [ { @@ -10685,7 +10686,7 @@ "4 0.0 8 1987 1.0 0.0 0.0 " ] }, - "execution_count": 458, + "execution_count": 611, "metadata": {}, "output_type": "execute_result" } @@ -10697,7 +10698,7 @@ }, { "cell_type": "code", - "execution_count": 459, + "execution_count": 612, "metadata": {}, "outputs": [ { @@ -10718,7 +10719,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:11:32 Log-Likelihood: 6.1762e+05\n", + " Time: 14:26:31 Log-Likelihood: 6.1762e+05\n", "\n", "\n", " No. Observations: 20978 AIC: -1.235e+06\n", @@ -10800,7 +10801,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 1.000 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1.115e+30 \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:11:32 & \\textbf{ Log-Likelihood: } & 6.1762e+05 \\\\\n", + "\\textbf{Time:} & 14:26:31 & \\textbf{ Log-Likelihood: } & 6.1762e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & -1.235e+06 \\\\\n", "\\textbf{Df Residuals:} & 20965 & \\textbf{ BIC: } & -1.235e+06 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -10849,7 +10850,7 @@ "Model: OLS Adj. R-squared: 1.000\n", "Method: Least Squares F-statistic: 1.115e+30\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:11:32 Log-Likelihood: 6.1762e+05\n", + "Time: 14:26:31 Log-Likelihood: 6.1762e+05\n", "No. Observations: 20978 AIC: -1.235e+06\n", "Df Residuals: 20965 BIC: -1.235e+06\n", "Df Model: 12 \n", @@ -10884,7 +10885,7 @@ "\"\"\"" ] }, - "execution_count": 459, + "execution_count": 612, "metadata": {}, "output_type": "execute_result" } @@ -10906,7 +10907,7 @@ }, { "cell_type": "code", - "execution_count": 460, + "execution_count": 613, "metadata": {}, "outputs": [], "source": [ @@ -10915,7 +10916,7 @@ }, { "cell_type": "code", - "execution_count": 461, + "execution_count": 614, "metadata": {}, "outputs": [ { @@ -10934,6 +10935,69 @@ "# Always should have the same number of rows in X as values in y\n", "assert X2_train.shape[0] == y2_train.shape[0]" ] + }, + { + "cell_type": "code", + "execution_count": 615, + "metadata": {}, + "outputs": [], + "source": [ + "X2_train_final = X2_train\n", + "X2_test_final = X2_test" + ] + }, + { + "cell_type": "code", + "execution_count": 617, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.0" + ] + }, + "execution_count": 617, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.linear_model import LinearRegression\n", + "\n", + "# Convert all column names to strings\n", + "X2_train_final.columns = X2_train_final.columns.astype(str)\n", + "X2_test_final.columns = X2_test_final.columns.astype(str)\n", + "\n", + "# Create and fit the LinearRegression model\n", + "final_model = LinearRegression()\n", + "final_model.fit(X2_train_final, y2_train)\n", + "\n", + "# Evaluate the model\n", + "final_model.score(X2_test_final, y2_test)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 618, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([1., 1., 1.])" + ] + }, + "execution_count": 618, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use cross validation to take a look at the model's performance:\n", + "cross_val_score(final_model, X2_train, y2_train, cv=3)" + ] } ], "metadata": { From 0a8c4402631f35e1c08408adcdbd2b680a448f91 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 14:31:50 +0300 Subject: [PATCH 84/98] Update student.ipynb --- student.ipynb | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/student.ipynb b/student.ipynb index ec87fb1f..a7c29c9d 100644 --- a/student.ipynb +++ b/student.ipynb @@ -10998,6 +10998,36 @@ "# use cross validation to take a look at the model's performance:\n", "cross_val_score(final_model, X2_train, y2_train, cv=3)" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Regression Results" + ] + }, + { + "cell_type": "code", + "execution_count": 619, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2.653101429710136e-15" + ] + }, + "execution_count": 619, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# user friendly metrics\n", + "from sklearn.metrics import mean_squared_error\n", + "\n", + "mean_squared_error(y2_test, final_model.predict(X2_test_final), squared=False)" + ] } ], "metadata": { From 4866b227c56636e616c93dc00de8429c086f4f59 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 14:42:35 +0300 Subject: [PATCH 85/98] Update student.ipynb --- student.ipynb | 568 +++++++++++++++++++++++++------------------------- 1 file changed, 284 insertions(+), 284 deletions(-) diff --git a/student.ipynb b/student.ipynb index a7c29c9d..076d270b 100644 --- a/student.ipynb +++ b/student.ipynb @@ -135,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 467, + "execution_count": 782, "metadata": {}, "outputs": [], "source": [ @@ -175,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 468, + "execution_count": 783, "metadata": {}, "outputs": [ { @@ -303,7 +303,7 @@ "4 NO Average 8 Good 1987 " ] }, - "execution_count": 468, + "execution_count": 783, "metadata": {}, "output_type": "execute_result" } @@ -327,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 469, + "execution_count": 784, "metadata": {}, "outputs": [ { @@ -336,7 +336,7 @@ "(21597, 11)" ] }, - "execution_count": 469, + "execution_count": 784, "metadata": {}, "output_type": "execute_result" } @@ -354,7 +354,7 @@ }, { "cell_type": "code", - "execution_count": 470, + "execution_count": 785, "metadata": {}, "outputs": [ { @@ -388,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 471, + "execution_count": 786, "metadata": {}, "outputs": [ { @@ -537,7 +537,7 @@ "max 1.651359e+06 3.500000 2015.000000 " ] }, - "execution_count": 471, + "execution_count": 786, "metadata": {}, "output_type": "execute_result" } @@ -548,7 +548,7 @@ }, { "cell_type": "code", - "execution_count": 472, + "execution_count": 787, "metadata": {}, "outputs": [ { @@ -565,7 +565,7 @@ "Name: price, dtype: float64" ] }, - "execution_count": 472, + "execution_count": 787, "metadata": {}, "output_type": "execute_result" } @@ -585,7 +585,7 @@ }, { "cell_type": "code", - "execution_count": 473, + "execution_count": 788, "metadata": {}, "outputs": [ { @@ -602,7 +602,7 @@ "Name: sqft_living, dtype: float64" ] }, - "execution_count": 473, + "execution_count": 788, "metadata": {}, "output_type": "execute_result" } @@ -621,7 +621,7 @@ }, { "cell_type": "code", - "execution_count": 474, + "execution_count": 789, "metadata": {}, "outputs": [ { @@ -643,7 +643,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 474, + "execution_count": 789, "metadata": {}, "output_type": "execute_result" } @@ -661,7 +661,7 @@ }, { "cell_type": "code", - "execution_count": 475, + "execution_count": 790, "metadata": {}, "outputs": [ { @@ -700,7 +700,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 475, + "execution_count": 790, "metadata": {}, "output_type": "execute_result" } @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 476, + "execution_count": 791, "metadata": {}, "outputs": [ { @@ -727,7 +727,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 476, + "execution_count": 791, "metadata": {}, "output_type": "execute_result" } @@ -738,7 +738,7 @@ }, { "cell_type": "code", - "execution_count": 477, + "execution_count": 792, "metadata": {}, "outputs": [ { @@ -759,7 +759,7 @@ "Name: count, Length: 9776, dtype: int64" ] }, - "execution_count": 477, + "execution_count": 792, "metadata": {}, "output_type": "execute_result" } @@ -770,7 +770,7 @@ }, { "cell_type": "code", - "execution_count": 478, + "execution_count": 793, "metadata": {}, "outputs": [ { @@ -787,7 +787,7 @@ "Name: sqft_lot, dtype: float64" ] }, - "execution_count": 478, + "execution_count": 793, "metadata": {}, "output_type": "execute_result" } @@ -798,7 +798,7 @@ }, { "cell_type": "code", - "execution_count": 479, + "execution_count": 794, "metadata": {}, "outputs": [ { @@ -819,7 +819,7 @@ "Name: count, Length: 116, dtype: int64" ] }, - "execution_count": 479, + "execution_count": 794, "metadata": {}, "output_type": "execute_result" } @@ -838,7 +838,7 @@ }, { "cell_type": "code", - "execution_count": 480, + "execution_count": 795, "metadata": {}, "outputs": [ { @@ -853,7 +853,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 480, + "execution_count": 795, "metadata": {}, "output_type": "execute_result" } @@ -864,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 481, + "execution_count": 796, "metadata": {}, "outputs": [ { @@ -876,7 +876,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 481, + "execution_count": 796, "metadata": {}, "output_type": "execute_result" } @@ -887,12 +887,12 @@ }, { "cell_type": "code", - "execution_count": 482, + "execution_count": 797, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -919,12 +919,12 @@ }, { "cell_type": "code", - "execution_count": 483, + "execution_count": 798, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -988,7 +988,7 @@ }, { "cell_type": "code", - "execution_count": 484, + "execution_count": 799, "metadata": {}, "outputs": [ { @@ -1008,7 +1008,7 @@ "dtype: int64" ] }, - "execution_count": 484, + "execution_count": 799, "metadata": {}, "output_type": "execute_result" } @@ -1020,7 +1020,7 @@ }, { "cell_type": "code", - "execution_count": 485, + "execution_count": 800, "metadata": {}, "outputs": [ { @@ -1057,7 +1057,7 @@ }, { "cell_type": "code", - "execution_count": 486, + "execution_count": 801, "metadata": {}, "outputs": [ { @@ -1069,7 +1069,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 486, + "execution_count": 801, "metadata": {}, "output_type": "execute_result" } @@ -1088,7 +1088,7 @@ }, { "cell_type": "code", - "execution_count": 487, + "execution_count": 802, "metadata": {}, "outputs": [], "source": [ @@ -1097,7 +1097,7 @@ }, { "cell_type": "code", - "execution_count": 488, + "execution_count": 803, "metadata": {}, "outputs": [ { @@ -1109,7 +1109,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 488, + "execution_count": 803, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 489, + "execution_count": 804, "metadata": {}, "outputs": [ { @@ -1140,7 +1140,7 @@ "dtype: int64" ] }, - "execution_count": 489, + "execution_count": 804, "metadata": {}, "output_type": "execute_result" } @@ -1172,7 +1172,7 @@ }, { "cell_type": "code", - "execution_count": 490, + "execution_count": 805, "metadata": {}, "outputs": [ { @@ -1235,7 +1235,7 @@ }, { "cell_type": "code", - "execution_count": 491, + "execution_count": 806, "metadata": {}, "outputs": [], "source": [ @@ -1244,7 +1244,7 @@ }, { "cell_type": "code", - "execution_count": 492, + "execution_count": 807, "metadata": {}, "outputs": [ { @@ -1255,7 +1255,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 492, + "execution_count": 807, "metadata": {}, "output_type": "execute_result" } @@ -1266,7 +1266,7 @@ }, { "cell_type": "code", - "execution_count": 493, + "execution_count": 808, "metadata": {}, "outputs": [], "source": [ @@ -1275,7 +1275,7 @@ }, { "cell_type": "code", - "execution_count": 494, + "execution_count": 809, "metadata": {}, "outputs": [ { @@ -1284,7 +1284,7 @@ "(46360, 11)" ] }, - "execution_count": 494, + "execution_count": 809, "metadata": {}, "output_type": "execute_result" } @@ -1295,7 +1295,7 @@ }, { "cell_type": "code", - "execution_count": 495, + "execution_count": 810, "metadata": {}, "outputs": [], "source": [ @@ -1304,7 +1304,7 @@ }, { "cell_type": "code", - "execution_count": 496, + "execution_count": 811, "metadata": {}, "outputs": [ { @@ -1531,7 +1531,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 496, + "execution_count": 811, "metadata": {}, "output_type": "execute_result" } @@ -1542,7 +1542,7 @@ }, { "cell_type": "code", - "execution_count": 497, + "execution_count": 812, "metadata": {}, "outputs": [ { @@ -1576,7 +1576,7 @@ }, { "cell_type": "code", - "execution_count": 498, + "execution_count": 813, "metadata": {}, "outputs": [ { @@ -1597,7 +1597,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 498, + "execution_count": 813, "metadata": {}, "output_type": "execute_result" } @@ -1615,7 +1615,7 @@ }, { "cell_type": "code", - "execution_count": 499, + "execution_count": 814, "metadata": {}, "outputs": [], "source": [ @@ -1625,7 +1625,7 @@ }, { "cell_type": "code", - "execution_count": 500, + "execution_count": 815, "metadata": {}, "outputs": [ { @@ -1677,7 +1677,7 @@ }, { "cell_type": "code", - "execution_count": 501, + "execution_count": 816, "metadata": {}, "outputs": [ { @@ -1686,7 +1686,7 @@ "array(['NO', 'YES'], dtype=object)" ] }, - "execution_count": 501, + "execution_count": 816, "metadata": {}, "output_type": "execute_result" } @@ -1708,7 +1708,7 @@ }, { "cell_type": "code", - "execution_count": 502, + "execution_count": 817, "metadata": {}, "outputs": [ { @@ -1717,7 +1717,7 @@ "array([0., 0., 0., ..., 0., 0., 0.])" ] }, - "execution_count": 502, + "execution_count": 817, "metadata": {}, "output_type": "execute_result" } @@ -1736,7 +1736,7 @@ }, { "cell_type": "code", - "execution_count": 503, + "execution_count": 818, "metadata": {}, "outputs": [ { @@ -1963,7 +1963,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 503, + "execution_count": 818, "metadata": {}, "output_type": "execute_result" } @@ -1978,7 +1978,7 @@ }, { "cell_type": "code", - "execution_count": 504, + "execution_count": 819, "metadata": {}, "outputs": [ { @@ -1990,7 +1990,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 504, + "execution_count": 819, "metadata": {}, "output_type": "execute_result" } @@ -2008,7 +2008,7 @@ }, { "cell_type": "code", - "execution_count": 505, + "execution_count": 820, "metadata": {}, "outputs": [ { @@ -2023,7 +2023,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 505, + "execution_count": 820, "metadata": {}, "output_type": "execute_result" } @@ -2034,7 +2034,7 @@ }, { "cell_type": "code", - "execution_count": 506, + "execution_count": 821, "metadata": {}, "outputs": [], "source": [ @@ -2049,7 +2049,7 @@ }, { "cell_type": "code", - "execution_count": 507, + "execution_count": 822, "metadata": {}, "outputs": [ { @@ -2069,7 +2069,7 @@ "Name: condition, Length: 21420, dtype: int64" ] }, - "execution_count": 507, + "execution_count": 822, "metadata": {}, "output_type": "execute_result" } @@ -2080,7 +2080,7 @@ }, { "cell_type": "code", - "execution_count": 508, + "execution_count": 823, "metadata": {}, "outputs": [ { @@ -2095,7 +2095,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 508, + "execution_count": 823, "metadata": {}, "output_type": "execute_result" } @@ -2107,7 +2107,7 @@ }, { "cell_type": "code", - "execution_count": 509, + "execution_count": 824, "metadata": {}, "outputs": [ { @@ -2150,7 +2150,7 @@ }, { "cell_type": "code", - "execution_count": 510, + "execution_count": 825, "metadata": {}, "outputs": [], "source": [ @@ -2166,7 +2166,7 @@ }, { "cell_type": "code", - "execution_count": 511, + "execution_count": 826, "metadata": {}, "outputs": [ { @@ -2225,7 +2225,7 @@ }, { "cell_type": "code", - "execution_count": 512, + "execution_count": 827, "metadata": {}, "outputs": [], "source": [ @@ -2250,7 +2250,7 @@ }, { "cell_type": "code", - "execution_count": 513, + "execution_count": 828, "metadata": {}, "outputs": [ { @@ -2271,7 +2271,7 @@ }, { "cell_type": "code", - "execution_count": 514, + "execution_count": 829, "metadata": {}, "outputs": [ { @@ -2319,7 +2319,7 @@ }, { "cell_type": "code", - "execution_count": 515, + "execution_count": 830, "metadata": {}, "outputs": [ { @@ -2350,7 +2350,7 @@ }, { "cell_type": "code", - "execution_count": 516, + "execution_count": 831, "metadata": {}, "outputs": [ { @@ -2398,7 +2398,7 @@ }, { "cell_type": "code", - "execution_count": 517, + "execution_count": 832, "metadata": {}, "outputs": [ { @@ -2424,7 +2424,7 @@ }, { "cell_type": "code", - "execution_count": 518, + "execution_count": 833, "metadata": {}, "outputs": [ { @@ -2472,7 +2472,7 @@ }, { "cell_type": "code", - "execution_count": 519, + "execution_count": 834, "metadata": {}, "outputs": [ { @@ -2498,7 +2498,7 @@ }, { "cell_type": "code", - "execution_count": 520, + "execution_count": 835, "metadata": {}, "outputs": [ { @@ -2540,7 +2540,7 @@ }, { "cell_type": "code", - "execution_count": 521, + "execution_count": 836, "metadata": {}, "outputs": [], "source": [ @@ -2551,7 +2551,7 @@ }, { "cell_type": "code", - "execution_count": 522, + "execution_count": 837, "metadata": {}, "outputs": [ { @@ -2585,7 +2585,7 @@ }, { "cell_type": "code", - "execution_count": 523, + "execution_count": 838, "metadata": {}, "outputs": [], "source": [ @@ -2595,7 +2595,7 @@ }, { "cell_type": "code", - "execution_count": 524, + "execution_count": 839, "metadata": {}, "outputs": [ { @@ -2674,7 +2674,7 @@ }, { "cell_type": "code", - "execution_count": 525, + "execution_count": 840, "metadata": {}, "outputs": [ { @@ -2721,7 +2721,7 @@ }, { "cell_type": "code", - "execution_count": 526, + "execution_count": 841, "metadata": {}, "outputs": [ { @@ -2747,7 +2747,7 @@ }, { "cell_type": "code", - "execution_count": 527, + "execution_count": 842, "metadata": {}, "outputs": [ { @@ -2769,7 +2769,7 @@ }, { "cell_type": "code", - "execution_count": 528, + "execution_count": 843, "metadata": {}, "outputs": [ { @@ -2800,7 +2800,7 @@ }, { "cell_type": "code", - "execution_count": 529, + "execution_count": 844, "metadata": {}, "outputs": [ { @@ -2823,7 +2823,7 @@ }, { "cell_type": "code", - "execution_count": 530, + "execution_count": 845, "metadata": {}, "outputs": [ { @@ -2845,7 +2845,7 @@ }, { "cell_type": "code", - "execution_count": 531, + "execution_count": 846, "metadata": {}, "outputs": [ { @@ -2883,7 +2883,7 @@ }, { "cell_type": "code", - "execution_count": 532, + "execution_count": 847, "metadata": {}, "outputs": [ { @@ -2923,7 +2923,7 @@ }, { "cell_type": "code", - "execution_count": 533, + "execution_count": 848, "metadata": {}, "outputs": [ { @@ -2961,7 +2961,7 @@ }, { "cell_type": "code", - "execution_count": 534, + "execution_count": 849, "metadata": {}, "outputs": [ { @@ -3113,7 +3113,7 @@ }, { "cell_type": "code", - "execution_count": 535, + "execution_count": 850, "metadata": {}, "outputs": [ { @@ -3337,7 +3337,7 @@ "yr_built 0.492854 -0.032005 -0.361670 0.452886 1.000000 " ] }, - "execution_count": 535, + "execution_count": 850, "metadata": {}, "output_type": "execute_result" } @@ -3374,7 +3374,7 @@ }, { "cell_type": "code", - "execution_count": 536, + "execution_count": 851, "metadata": {}, "outputs": [ { @@ -3408,7 +3408,7 @@ }, { "cell_type": "code", - "execution_count": 537, + "execution_count": 852, "metadata": {}, "outputs": [ { @@ -3475,7 +3475,7 @@ "4 1680 8" ] }, - "execution_count": 537, + "execution_count": 852, "metadata": {}, "output_type": "execute_result" } @@ -3496,7 +3496,7 @@ }, { "cell_type": "code", - "execution_count": 538, + "execution_count": 853, "metadata": {}, "outputs": [ { @@ -3614,7 +3614,7 @@ "[20978 rows x 3 columns]" ] }, - "execution_count": 538, + "execution_count": 853, "metadata": {}, "output_type": "execute_result" } @@ -3629,7 +3629,7 @@ }, { "cell_type": "code", - "execution_count": 539, + "execution_count": 854, "metadata": {}, "outputs": [], "source": [ @@ -3638,7 +3638,7 @@ }, { "cell_type": "code", - "execution_count": 540, + "execution_count": 855, "metadata": {}, "outputs": [ { @@ -3659,7 +3659,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:23:32 Log-Likelihood: -2.8743e+05\n", + " Time: 14:40:44 Log-Likelihood: -2.8743e+05\n", "\n", "\n", " No. Observations: 20978 AIC: 5.749e+05 \n", @@ -3711,7 +3711,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.486 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 9901. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:23:32 & \\textbf{ Log-Likelihood: } & -2.8743e+05 \\\\\n", + "\\textbf{Time:} & 14:40:44 & \\textbf{ Log-Likelihood: } & -2.8743e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & 5.749e+05 \\\\\n", "\\textbf{Df Residuals:} & 20975 & \\textbf{ BIC: } & 5.749e+05 \\\\\n", "\\textbf{Df Model:} & 2 & \\textbf{ } & \\\\\n", @@ -3750,7 +3750,7 @@ "Model: OLS Adj. R-squared: 0.486\n", "Method: Least Squares F-statistic: 9901.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:23:32 Log-Likelihood: -2.8743e+05\n", + "Time: 14:40:44 Log-Likelihood: -2.8743e+05\n", "No. Observations: 20978 AIC: 5.749e+05\n", "Df Residuals: 20975 BIC: 5.749e+05\n", "Df Model: 2 \n", @@ -3775,7 +3775,7 @@ "\"\"\"" ] }, - "execution_count": 540, + "execution_count": 855, "metadata": {}, "output_type": "execute_result" } @@ -3800,7 +3800,7 @@ }, { "cell_type": "code", - "execution_count": 541, + "execution_count": 856, "metadata": {}, "outputs": [], "source": [ @@ -3810,7 +3810,7 @@ }, { "cell_type": "code", - "execution_count": 542, + "execution_count": 857, "metadata": {}, "outputs": [], "source": [ @@ -3819,7 +3819,7 @@ }, { "cell_type": "code", - "execution_count": 543, + "execution_count": 858, "metadata": {}, "outputs": [ { @@ -3841,7 +3841,7 @@ }, { "cell_type": "code", - "execution_count": 544, + "execution_count": 859, "metadata": {}, "outputs": [ { @@ -4044,7 +4044,7 @@ "[15733 rows x 9 columns]" ] }, - "execution_count": 544, + "execution_count": 859, "metadata": {}, "output_type": "execute_result" } @@ -4088,7 +4088,7 @@ }, { "cell_type": "code", - "execution_count": 545, + "execution_count": 860, "metadata": {}, "outputs": [ { @@ -4097,7 +4097,7 @@ "[array([1, 2, 3, 4, 5], dtype=int64)]" ] }, - "execution_count": 545, + "execution_count": 860, "metadata": {}, "output_type": "execute_result" } @@ -4120,7 +4120,7 @@ }, { "cell_type": "code", - "execution_count": 546, + "execution_count": 861, "metadata": {}, "outputs": [ { @@ -4135,7 +4135,7 @@ " [0., 0., 0., 1., 0.]])" ] }, - "execution_count": 546, + "execution_count": 861, "metadata": {}, "output_type": "execute_result" } @@ -4152,7 +4152,7 @@ }, { "cell_type": "code", - "execution_count": 547, + "execution_count": 862, "metadata": {}, "outputs": [ { @@ -4294,7 +4294,7 @@ "[15733 rows x 5 columns]" ] }, - "execution_count": 547, + "execution_count": 862, "metadata": {}, "output_type": "execute_result" } @@ -4320,7 +4320,7 @@ }, { "cell_type": "code", - "execution_count": 548, + "execution_count": 863, "metadata": {}, "outputs": [ { @@ -4511,7 +4511,7 @@ "[15733 rows x 8 columns]" ] }, - "execution_count": 548, + "execution_count": 863, "metadata": {}, "output_type": "execute_result" } @@ -4524,7 +4524,7 @@ }, { "cell_type": "code", - "execution_count": 549, + "execution_count": 864, "metadata": {}, "outputs": [ { @@ -4775,7 +4775,7 @@ "[15733 rows x 13 columns]" ] }, - "execution_count": 549, + "execution_count": 864, "metadata": {}, "output_type": "execute_result" } @@ -4800,7 +4800,7 @@ }, { "cell_type": "code", - "execution_count": 550, + "execution_count": 865, "metadata": {}, "outputs": [ { @@ -5039,7 +5039,7 @@ "[15733 rows x 12 columns]" ] }, - "execution_count": 550, + "execution_count": 865, "metadata": {}, "output_type": "execute_result" } @@ -5052,7 +5052,7 @@ }, { "cell_type": "code", - "execution_count": 551, + "execution_count": 866, "metadata": {}, "outputs": [ { @@ -5087,13 +5087,13 @@ }, { "cell_type": "code", - "execution_count": 552, + "execution_count": 867, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "LinearRegression()" ] }, - "execution_count": 552, + "execution_count": 867, "metadata": {}, "output_type": "execute_result" } @@ -5519,7 +5519,7 @@ }, { "cell_type": "code", - "execution_count": 553, + "execution_count": 868, "metadata": {}, "outputs": [ { @@ -5528,7 +5528,7 @@ "array([0.61210062, 0.60849282, 0.59087099])" ] }, - "execution_count": 553, + "execution_count": 868, "metadata": {}, "output_type": "execute_result" } @@ -5548,7 +5548,7 @@ }, { "cell_type": "code", - "execution_count": 554, + "execution_count": 869, "metadata": {}, "outputs": [], "source": [ @@ -5558,7 +5558,7 @@ }, { "cell_type": "code", - "execution_count": 555, + "execution_count": 870, "metadata": {}, "outputs": [ { @@ -5761,7 +5761,7 @@ "[5245 rows x 9 columns]" ] }, - "execution_count": 555, + "execution_count": 870, "metadata": {}, "output_type": "execute_result" } @@ -5772,7 +5772,7 @@ }, { "cell_type": "code", - "execution_count": 556, + "execution_count": 871, "metadata": {}, "outputs": [ { @@ -6023,7 +6023,7 @@ "[5245 rows x 13 columns]" ] }, - "execution_count": 556, + "execution_count": 871, "metadata": {}, "output_type": "execute_result" } @@ -6053,7 +6053,7 @@ }, { "cell_type": "code", - "execution_count": 557, + "execution_count": 872, "metadata": {}, "outputs": [ { @@ -6292,7 +6292,7 @@ "[5245 rows x 12 columns]" ] }, - "execution_count": 557, + "execution_count": 872, "metadata": {}, "output_type": "execute_result" } @@ -6304,7 +6304,7 @@ }, { "cell_type": "code", - "execution_count": 558, + "execution_count": 873, "metadata": {}, "outputs": [ { @@ -6313,7 +6313,7 @@ "0.617288818755894" ] }, - "execution_count": 558, + "execution_count": 873, "metadata": {}, "output_type": "execute_result" } @@ -6328,7 +6328,7 @@ }, { "cell_type": "code", - "execution_count": 559, + "execution_count": 874, "metadata": {}, "outputs": [ { @@ -6363,7 +6363,7 @@ }, { "cell_type": "code", - "execution_count": 560, + "execution_count": 875, "metadata": {}, "outputs": [ { @@ -6402,7 +6402,7 @@ }, { "cell_type": "code", - "execution_count": 561, + "execution_count": 876, "metadata": {}, "outputs": [ { @@ -6443,7 +6443,7 @@ }, { "cell_type": "code", - "execution_count": 562, + "execution_count": 877, "metadata": {}, "outputs": [], "source": [ @@ -6452,7 +6452,7 @@ }, { "cell_type": "code", - "execution_count": 563, + "execution_count": 878, "metadata": {}, "outputs": [ { @@ -6484,7 +6484,7 @@ }, { "cell_type": "code", - "execution_count": 564, + "execution_count": 879, "metadata": {}, "outputs": [], "source": [ @@ -6493,7 +6493,7 @@ }, { "cell_type": "code", - "execution_count": 565, + "execution_count": 880, "metadata": {}, "outputs": [ { @@ -6524,7 +6524,7 @@ }, { "cell_type": "code", - "execution_count": 566, + "execution_count": 881, "metadata": {}, "outputs": [], "source": [ @@ -6534,7 +6534,7 @@ }, { "cell_type": "code", - "execution_count": 567, + "execution_count": 882, "metadata": {}, "outputs": [ { @@ -6785,7 +6785,7 @@ "[15733 rows x 13 columns]" ] }, - "execution_count": 567, + "execution_count": 882, "metadata": {}, "output_type": "execute_result" } @@ -6797,7 +6797,7 @@ }, { "cell_type": "code", - "execution_count": 568, + "execution_count": 883, "metadata": {}, "outputs": [], "source": [ @@ -6806,7 +6806,7 @@ }, { "cell_type": "code", - "execution_count": 569, + "execution_count": 884, "metadata": {}, "outputs": [ { @@ -6827,7 +6827,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:23:43 Log-Likelihood: -2.1360e+05\n", + " Time: 14:40:56 Log-Likelihood: -2.1360e+05\n", "\n", "\n", " No. Observations: 15733 AIC: 4.272e+05 \n", @@ -6909,7 +6909,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.605 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2010. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:23:43 & \\textbf{ Log-Likelihood: } & -2.1360e+05 \\\\\n", + "\\textbf{Time:} & 14:40:56 & \\textbf{ Log-Likelihood: } & -2.1360e+05 \\\\\n", "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.272e+05 \\\\\n", "\\textbf{Df Residuals:} & 15720 & \\textbf{ BIC: } & 4.273e+05 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -6958,7 +6958,7 @@ "Model: OLS Adj. R-squared: 0.605\n", "Method: Least Squares F-statistic: 2010.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:23:43 Log-Likelihood: -2.1360e+05\n", + "Time: 14:40:56 Log-Likelihood: -2.1360e+05\n", "No. Observations: 15733 AIC: 4.272e+05\n", "Df Residuals: 15720 BIC: 4.273e+05\n", "Df Model: 12 \n", @@ -6993,7 +6993,7 @@ "\"\"\"" ] }, - "execution_count": 569, + "execution_count": 884, "metadata": {}, "output_type": "execute_result" } @@ -7018,7 +7018,7 @@ }, { "cell_type": "code", - "execution_count": 570, + "execution_count": 885, "metadata": {}, "outputs": [ { @@ -7053,7 +7053,7 @@ }, { "cell_type": "code", - "execution_count": 571, + "execution_count": 886, "metadata": {}, "outputs": [ { @@ -7088,7 +7088,7 @@ }, { "cell_type": "code", - "execution_count": 572, + "execution_count": 887, "metadata": {}, "outputs": [ { @@ -7123,7 +7123,7 @@ }, { "cell_type": "code", - "execution_count": 573, + "execution_count": 888, "metadata": {}, "outputs": [ { @@ -7277,7 +7277,7 @@ "[15733 rows x 6 columns]" ] }, - "execution_count": 573, + "execution_count": 888, "metadata": {}, "output_type": "execute_result" } @@ -7295,7 +7295,7 @@ }, { "cell_type": "code", - "execution_count": 574, + "execution_count": 889, "metadata": {}, "outputs": [ { @@ -7334,7 +7334,7 @@ }, { "cell_type": "code", - "execution_count": 575, + "execution_count": 890, "metadata": {}, "outputs": [ { @@ -7355,7 +7355,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:23:51 Log-Likelihood: -2.1596e+05\n", + " Time: 14:41:05 Log-Likelihood: -2.1596e+05\n", "\n", "\n", " No. Observations: 15733 AIC: 4.319e+05 \n", @@ -7419,7 +7419,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.467 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2300. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:23:51 & \\textbf{ Log-Likelihood: } & -2.1596e+05 \\\\\n", + "\\textbf{Time:} & 14:41:05 & \\textbf{ Log-Likelihood: } & -2.1596e+05 \\\\\n", "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.319e+05 \\\\\n", "\\textbf{Df Residuals:} & 15726 & \\textbf{ BIC: } & 4.320e+05 \\\\\n", "\\textbf{Df Model:} & 6 & \\textbf{ } & \\\\\n", @@ -7462,7 +7462,7 @@ "Model: OLS Adj. R-squared: 0.467\n", "Method: Least Squares F-statistic: 2300.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:23:51 Log-Likelihood: -2.1596e+05\n", + "Time: 14:41:05 Log-Likelihood: -2.1596e+05\n", "No. Observations: 15733 AIC: 4.319e+05\n", "Df Residuals: 15726 BIC: 4.320e+05\n", "Df Model: 6 \n", @@ -7491,7 +7491,7 @@ "\"\"\"" ] }, - "execution_count": 575, + "execution_count": 890, "metadata": {}, "output_type": "execute_result" } @@ -7511,7 +7511,7 @@ }, { "cell_type": "code", - "execution_count": 576, + "execution_count": 891, "metadata": {}, "outputs": [], "source": [ @@ -7520,7 +7520,7 @@ }, { "cell_type": "code", - "execution_count": 577, + "execution_count": 892, "metadata": {}, "outputs": [ { @@ -7575,7 +7575,7 @@ }, { "cell_type": "code", - "execution_count": 578, + "execution_count": 893, "metadata": {}, "outputs": [ { @@ -7614,7 +7614,7 @@ }, { "cell_type": "code", - "execution_count": 579, + "execution_count": 894, "metadata": {}, "outputs": [ { @@ -7681,7 +7681,7 @@ "2 sqft_living grade 0.481743 0.476978 Yes" ] }, - "execution_count": 579, + "execution_count": 894, "metadata": {}, "output_type": "execute_result" } @@ -7765,7 +7765,7 @@ }, { "cell_type": "code", - "execution_count": 580, + "execution_count": 895, "metadata": {}, "outputs": [ { @@ -7799,7 +7799,7 @@ }, { "cell_type": "code", - "execution_count": 581, + "execution_count": 896, "metadata": {}, "outputs": [ { @@ -7828,7 +7828,7 @@ }, { "cell_type": "code", - "execution_count": 582, + "execution_count": 897, "metadata": {}, "outputs": [ { @@ -7847,7 +7847,7 @@ }, { "cell_type": "code", - "execution_count": 583, + "execution_count": 898, "metadata": {}, "outputs": [ { @@ -7856,7 +7856,7 @@ "[array([1, 2, 3, 4, 5], dtype=int64)]" ] }, - "execution_count": 583, + "execution_count": 898, "metadata": {}, "output_type": "execute_result" } @@ -7870,7 +7870,7 @@ }, { "cell_type": "code", - "execution_count": 584, + "execution_count": 899, "metadata": {}, "outputs": [ { @@ -7880,7 +7880,7 @@ "\twith 20978 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 584, + "execution_count": 899, "metadata": {}, "output_type": "execute_result" } @@ -7893,7 +7893,7 @@ }, { "cell_type": "code", - "execution_count": 585, + "execution_count": 900, "metadata": {}, "outputs": [ { @@ -7933,7 +7933,7 @@ }, { "cell_type": "code", - "execution_count": 586, + "execution_count": 901, "metadata": {}, "outputs": [ { @@ -8148,7 +8148,7 @@ "[20978 rows x 10 columns]" ] }, - "execution_count": 586, + "execution_count": 901, "metadata": {}, "output_type": "execute_result" } @@ -8160,7 +8160,7 @@ }, { "cell_type": "code", - "execution_count": 587, + "execution_count": 902, "metadata": {}, "outputs": [ { @@ -8216,7 +8216,7 @@ }, { "cell_type": "code", - "execution_count": 588, + "execution_count": 903, "metadata": {}, "outputs": [ { @@ -8479,7 +8479,7 @@ "[20978 rows x 14 columns]" ] }, - "execution_count": 588, + "execution_count": 903, "metadata": {}, "output_type": "execute_result" } @@ -8491,7 +8491,7 @@ }, { "cell_type": "code", - "execution_count": 589, + "execution_count": 904, "metadata": {}, "outputs": [ { @@ -8742,7 +8742,7 @@ "[20978 rows x 13 columns]" ] }, - "execution_count": 589, + "execution_count": 904, "metadata": {}, "output_type": "execute_result" } @@ -8754,7 +8754,7 @@ }, { "cell_type": "code", - "execution_count": 590, + "execution_count": 905, "metadata": {}, "outputs": [ { @@ -8888,7 +8888,7 @@ "4 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 590, + "execution_count": 905, "metadata": {}, "output_type": "execute_result" } @@ -8901,7 +8901,7 @@ }, { "cell_type": "code", - "execution_count": 591, + "execution_count": 906, "metadata": {}, "outputs": [ { @@ -9152,7 +9152,7 @@ "[20978 rows x 13 columns]" ] }, - "execution_count": 591, + "execution_count": 906, "metadata": {}, "output_type": "execute_result" } @@ -9165,7 +9165,7 @@ }, { "cell_type": "code", - "execution_count": 592, + "execution_count": 907, "metadata": {}, "outputs": [], "source": [ @@ -9174,7 +9174,7 @@ }, { "cell_type": "code", - "execution_count": 593, + "execution_count": 908, "metadata": {}, "outputs": [ { @@ -9195,7 +9195,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:23:55 Log-Likelihood: -2.8457e+05\n", + " Time: 14:41:20 Log-Likelihood: -2.8457e+05\n", "\n", "\n", " No. Observations: 20978 AIC: 5.692e+05 \n", @@ -9277,7 +9277,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.608 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2714. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:23:55 & \\textbf{ Log-Likelihood: } & -2.8457e+05 \\\\\n", + "\\textbf{Time:} & 14:41:20 & \\textbf{ Log-Likelihood: } & -2.8457e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & 5.692e+05 \\\\\n", "\\textbf{Df Residuals:} & 20965 & \\textbf{ BIC: } & 5.693e+05 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -9326,7 +9326,7 @@ "Model: OLS Adj. R-squared: 0.608\n", "Method: Least Squares F-statistic: 2714.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:23:55 Log-Likelihood: -2.8457e+05\n", + "Time: 14:41:20 Log-Likelihood: -2.8457e+05\n", "No. Observations: 20978 AIC: 5.692e+05\n", "Df Residuals: 20965 BIC: 5.693e+05\n", "Df Model: 12 \n", @@ -9361,7 +9361,7 @@ "\"\"\"" ] }, - "execution_count": 593, + "execution_count": 908, "metadata": {}, "output_type": "execute_result" } @@ -9372,7 +9372,7 @@ }, { "cell_type": "code", - "execution_count": 594, + "execution_count": 909, "metadata": {}, "outputs": [], "source": [ @@ -9381,7 +9381,7 @@ }, { "cell_type": "code", - "execution_count": 595, + "execution_count": 910, "metadata": {}, "outputs": [ { @@ -9403,7 +9403,7 @@ }, { "cell_type": "code", - "execution_count": 596, + "execution_count": 911, "metadata": {}, "outputs": [], "source": [ @@ -9413,7 +9413,7 @@ }, { "cell_type": "code", - "execution_count": 598, + "execution_count": 912, "metadata": {}, "outputs": [ { @@ -9422,7 +9422,7 @@ "0.6172888187558685" ] }, - "execution_count": 598, + "execution_count": 912, "metadata": {}, "output_type": "execute_result" } @@ -9446,7 +9446,7 @@ }, { "cell_type": "code", - "execution_count": 599, + "execution_count": 913, "metadata": {}, "outputs": [ { @@ -9488,7 +9488,7 @@ }, { "cell_type": "code", - "execution_count": 600, + "execution_count": 914, "metadata": {}, "outputs": [ { @@ -9525,7 +9525,7 @@ }, { "cell_type": "code", - "execution_count": 601, + "execution_count": 915, "metadata": {}, "outputs": [ { @@ -9665,7 +9665,7 @@ "4 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 601, + "execution_count": 915, "metadata": {}, "output_type": "execute_result" } @@ -9677,7 +9677,7 @@ }, { "cell_type": "code", - "execution_count": 602, + "execution_count": 916, "metadata": {}, "outputs": [], "source": [ @@ -9687,7 +9687,7 @@ }, { "cell_type": "code", - "execution_count": 603, + "execution_count": 917, "metadata": {}, "outputs": [ { @@ -9805,7 +9805,7 @@ "[20978 rows x 3 columns]" ] }, - "execution_count": 603, + "execution_count": 917, "metadata": {}, "output_type": "execute_result" } @@ -9816,7 +9816,7 @@ }, { "cell_type": "code", - "execution_count": 604, + "execution_count": 918, "metadata": {}, "outputs": [], "source": [ @@ -9839,7 +9839,7 @@ }, { "cell_type": "code", - "execution_count": 605, + "execution_count": 919, "metadata": {}, "outputs": [], "source": [ @@ -9849,7 +9849,7 @@ }, { "cell_type": "code", - "execution_count": 606, + "execution_count": 920, "metadata": {}, "outputs": [ { @@ -10001,7 +10001,7 @@ "4 8080 1.0 0.0 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 606, + "execution_count": 920, "metadata": {}, "output_type": "execute_result" } @@ -10013,7 +10013,7 @@ }, { "cell_type": "code", - "execution_count": 607, + "execution_count": 921, "metadata": {}, "outputs": [ { @@ -10159,7 +10159,7 @@ "4 1.0 0.0 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 607, + "execution_count": 921, "metadata": {}, "output_type": "execute_result" } @@ -10171,7 +10171,7 @@ }, { "cell_type": "code", - "execution_count": 608, + "execution_count": 922, "metadata": {}, "outputs": [ { @@ -10311,7 +10311,7 @@ "4 0.0 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 608, + "execution_count": 922, "metadata": {}, "output_type": "execute_result" } @@ -10323,7 +10323,7 @@ }, { "cell_type": "code", - "execution_count": 609, + "execution_count": 923, "metadata": {}, "outputs": [], "source": [ @@ -10332,7 +10332,7 @@ }, { "cell_type": "code", - "execution_count": 610, + "execution_count": 924, "metadata": {}, "outputs": [ { @@ -10353,7 +10353,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:26:14 Log-Likelihood: 6.2012e+05\n", + " Time: 14:41:26 Log-Likelihood: 6.2012e+05\n", "\n", "\n", " No. Observations: 20978 AIC: -1.240e+06\n", @@ -10438,7 +10438,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 1.000 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1.306e+30 \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:26:14 & \\textbf{ Log-Likelihood: } & 6.2012e+05 \\\\\n", + "\\textbf{Time:} & 14:41:26 & \\textbf{ Log-Likelihood: } & 6.2012e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & -1.240e+06 \\\\\n", "\\textbf{Df Residuals:} & 20964 & \\textbf{ BIC: } & -1.240e+06 \\\\\n", "\\textbf{Df Model:} & 13 & \\textbf{ } & \\\\\n", @@ -10488,7 +10488,7 @@ "Model: OLS Adj. R-squared: 1.000\n", "Method: Least Squares F-statistic: 1.306e+30\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:26:14 Log-Likelihood: 6.2012e+05\n", + "Time: 14:41:26 Log-Likelihood: 6.2012e+05\n", "No. Observations: 20978 AIC: -1.240e+06\n", "Df Residuals: 20964 BIC: -1.240e+06\n", "Df Model: 13 \n", @@ -10524,7 +10524,7 @@ "\"\"\"" ] }, - "execution_count": 610, + "execution_count": 924, "metadata": {}, "output_type": "execute_result" } @@ -10552,7 +10552,7 @@ }, { "cell_type": "code", - "execution_count": 611, + "execution_count": 925, "metadata": {}, "outputs": [ { @@ -10686,7 +10686,7 @@ "4 0.0 8 1987 1.0 0.0 0.0 " ] }, - "execution_count": 611, + "execution_count": 925, "metadata": {}, "output_type": "execute_result" } @@ -10698,7 +10698,7 @@ }, { "cell_type": "code", - "execution_count": 612, + "execution_count": 926, "metadata": {}, "outputs": [ { @@ -10719,7 +10719,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:26:31 Log-Likelihood: 6.1762e+05\n", + " Time: 14:41:26 Log-Likelihood: 6.1762e+05\n", "\n", "\n", " No. Observations: 20978 AIC: -1.235e+06\n", @@ -10801,7 +10801,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 1.000 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1.115e+30 \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:26:31 & \\textbf{ Log-Likelihood: } & 6.1762e+05 \\\\\n", + "\\textbf{Time:} & 14:41:26 & \\textbf{ Log-Likelihood: } & 6.1762e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & -1.235e+06 \\\\\n", "\\textbf{Df Residuals:} & 20965 & \\textbf{ BIC: } & -1.235e+06 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -10850,7 +10850,7 @@ "Model: OLS Adj. R-squared: 1.000\n", "Method: Least Squares F-statistic: 1.115e+30\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:26:31 Log-Likelihood: 6.1762e+05\n", + "Time: 14:41:26 Log-Likelihood: 6.1762e+05\n", "No. Observations: 20978 AIC: -1.235e+06\n", "Df Residuals: 20965 BIC: -1.235e+06\n", "Df Model: 12 \n", @@ -10885,7 +10885,7 @@ "\"\"\"" ] }, - "execution_count": 612, + "execution_count": 926, "metadata": {}, "output_type": "execute_result" } @@ -10907,7 +10907,7 @@ }, { "cell_type": "code", - "execution_count": 613, + "execution_count": 927, "metadata": {}, "outputs": [], "source": [ @@ -10916,7 +10916,7 @@ }, { "cell_type": "code", - "execution_count": 614, + "execution_count": 928, "metadata": {}, "outputs": [ { @@ -10938,7 +10938,7 @@ }, { "cell_type": "code", - "execution_count": 615, + "execution_count": 929, "metadata": {}, "outputs": [], "source": [ @@ -10948,7 +10948,7 @@ }, { "cell_type": "code", - "execution_count": 617, + "execution_count": 930, "metadata": {}, "outputs": [ { @@ -10957,7 +10957,7 @@ "1.0" ] }, - "execution_count": 617, + "execution_count": 930, "metadata": {}, "output_type": "execute_result" } @@ -10980,7 +10980,7 @@ }, { "cell_type": "code", - "execution_count": 618, + "execution_count": 931, "metadata": {}, "outputs": [ { @@ -10989,7 +10989,7 @@ "array([1., 1., 1.])" ] }, - "execution_count": 618, + "execution_count": 931, "metadata": {}, "output_type": "execute_result" } @@ -11008,7 +11008,7 @@ }, { "cell_type": "code", - "execution_count": 619, + "execution_count": 932, "metadata": {}, "outputs": [ { @@ -11017,7 +11017,7 @@ "2.653101429710136e-15" ] }, - "execution_count": 619, + "execution_count": 932, "metadata": {}, "output_type": "execute_result" } From c2a89f23837755dde0283922776263ecee3f0713 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 14:42:40 +0300 Subject: [PATCH 86/98] Update jointplot.png --- jointplot.png | Bin 47380 -> 47394 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/jointplot.png b/jointplot.png index 8d74cedc2a6eb91bc09fdeb076d2279dae032692..8a5eef8417f51604ae34dc2b5ae1b127a81aa15b 100644 GIT binary patch delta 36380 zcmZ_0bzD@@w>~_Sgmi;+haws0-ie~Aj!|3OX z$@L@ai6=w#=&cfLYYP&LdA82I%aZSBM9*>YsGTJ$S9XXkP}XAt?Tdfwxc*ryyWD}> z^fGnBp^~PWT$X%kLh0bCUn}{Kti+5&4Yl(Um+UQpVIC!dU|dNwTA~*^JLvEi!NV^R zFld7ll~9=zj~@_2^c8=QOTS-ux)v6TN6^S2?(X@bg{^a9T4x$mAP3}Ce^-e$#rhQ5 zSMyb%@rSz3Ulws%UL{=8yW`)S3-;(j$~FOSw%J7(Yh(jEI!J?PK1Z~c;EDdx!KWh3 zjY}s{Dari|zQ6S0MlSrz3)Wuw!{-neAqAfVt|S|Ty^;HqRKj?4{)5j;@Buwle>ExO zfK{9-O!{n%)$_r|i(z*RHE@pxBgQLhMd1>4&zm+0e8h} z&vfs}O&-^u=$BkX>K&vjE()Ziv8(0LO8nlZ|3bgmTcJYb@?!pw?Vzj%dw9jlz{!LZx1%m|^+G(HdhP%5R0 z6->_>rBZl2WU0K8x7gZv{70+hvc+xN7X6n&3Lj~$w%#CF$K$>&n&3G3Z^O)*SA2KzY`DYmgp&&%jNPwJdlN~>2q+hw|9>?#_!|2(%fc*NG&!<9k9Dg31wb#;d@ zwZn1l>YZW_;R^x`Iwurp!U-jaz$t1(uex6bpDca11?|dAHXo*H7Ke<$q1!Q|fuG;; z*~yO5AOV)bAdX9lZ-q7RCFX^^G*6z1BVEjg{EgctGNgJp-j%M2dB?+&kz;Rj;k!OR zPhoC%dz&7Ys+g56`gv&Jil`MzEi>P+f7cfjZUBbDtGt6Le2Xv>?jj9Z`&Y} zt*oiQ=mXj>JXg4b$Ph-lJq>;iI)86*0%?Y#i7Q)pwIgCY^75Io)OhshCTxwBsK_di z>p_)%*M%8AGd=4zW7|LkqLfQ3$(}ya%+%uhgNzL4dVAym0ffOq%c_vlT}~x}z6bQ4 z`?0s4C&&Cz!tIDr2voW+)LV%ZQG7WX%@G1=#LY1C`^Wi+QJy1pZ^j66K0u2KK*vNJ z`XE_5OdTLWNE(A9llw_f*dD#Oq6!t38d~?nGPUUM{qTH|)yV3rV z-nJ9E+k!aew}hR4p|xG~JYB1B@MRwr*rLevJ)3R3+ATXNeCmtd-Q7L(90#1Cp{l7v zA+_*L*&5-yi}l9yCGV8KE`I0D%RL@#r<8BglTVNOVko<-P5X|;?oY)odimM{6ga+` z>267b6MSQR(k6uSgDY7_a2F`^4_J+Ro~#Bs3?@uQO3` zsJ@-Ior}Q4Wn@qf+pg`)^&3XL?nkqPs_o{V`y9IDNUlegAdG z;Zp1TB|C`-B{K3R9r` z>T0}IM^gA69=6~6VPa#iZDu(1ww^C#B%=HN>c@lmKOTB(W!3rZ8#3HI)>p%*d;k35 zfr%4JXF_+E7uzyo5vQX<4m(DiAZrlS=^Y9Yg6%hfWMM1nIah=x)ue%)G=3M|)T6UQ z&3}F` zcW9@~;ByEa+K|-Oe{{F$aQ8s$>U%8B5I1aP$movy$Brv&J0UnSnz?g_LSK4nC9x^^ zSGZez7u}|vAOj<#oKtuA(7)h_z+K_jZR){%!#d@WC+gwXEvl%P7?bnEMbC+hr7wxO z4=Ip0`P#h_J05aC4ekeeTL(RNarhv0zMgc48$IOb^fc1v^o=j|^}xK<+cvhdH7Kzn zXQciMXnfSts+kQ^d9S|bM1teuR#tzFZFf?RdmV*H!-v3{W7-$9>b-nTMdfoW@#oJU z{`)rHYxk`KlGmPZI&Eg^_F&_)v$_jrzzQ0z*3C!Eul#EymySdE_#N(lF^dIQrGw)H z+~H)z!H*#4>SwX@*@^q%!cO7`OfKkpZu)nO_i-oc$#FLh5=>7|?|7=AZPF`;C87}= zK^P2#n4Ftm%vt1rZ9SHK`OfxdkzkF$PTzn0P#b(20_IEfss377X(N{*QSRnuORR4_ zRxE~ICWatbv1GE`~jm=3zxI9tV%$5y$y8vl$p!edHrns@+M(mWRS>2BB;`?= z(XF*IET0AA?(XQGs@db{0nBGlf4NJ4>31?w8ao_zVw8n5%ogYP&3Rov%efrRoWx5R z3IQ>FVssh0o?qseUjR`KSFI%-?bSYa@hg^KUYn_3l(lcVA8Z|joGrrtSo7POPP}?3 zg)Y9orL*s39qP+!cv!c^2nVKvrC|7>r|lGAE0AD5w|ho?DeX5Kndf^=+3H8YeYBtM zobEIQIC|PI@|7qCc8t$#%kWc#z0vR;oGg`&H9hzrz}>Gpa-P-W_tb_?+zVvj=;gb! zhM5KjYAVka1WX*9_1;GgFTA~luC9r$oj|r&AA|0m!Bz~9-jOVUyj+?16NiQz1b!Gi zTHr>%+-hn6`jsr_?oY83hzw5>v2j@-V2rhu&LCL^e6M9O;Im=WexzV;1fSc@efc%U zEXNz)R?GH2KkgJ#%i4A-r~ISCF$xan&uM9~3vCz%BY@ym)Tib7aqGwzNewQ1c zs;c_N$8q7O+~@v!IV_(Aeg((x7%9`Kmn`zm$Nix(aAz}t^4@D@XcCph)YP=b_j$AVv6fMqkG_uH>YDy=QIEL7mp@&u7S%4 zFW6XQ*n;o*;sr<)DIN<|(5=l4h$JwW?Ls3Sc(<2g7XzOMtMa7w2{IzW&3yaqBhi~x z9I0tHpW`6vZ@kk6K>!U^z!UAv3@Mf0#hd-Px`#zpUF#<+Ll8(G3?;kmuD~L?m=iCS z-x5{_NBFDsUQN*iYfcFjBy0Fm6VAh9;h4|nGmzm=W324$d;eidFYn@Xee9~2ljB+$ zgfD^Pvhnf}Z4V*+KNTn_+O zlI0I*`@VbVOB7QOr}ZZ(ySFAE22U815sVt!O#(-9?FkHEvET4_xyQ=CV0M4IaCOV> zsnsEbv)&Rtgd9v&vs0#d>vRNFGqj6e=GkPrY#6V=+%ziwLKPBUc&~6(tWpg>Sf?`q z#$p#OTJBI$UP_@xiUMb?rO6$nm0v$Uq)K^Tl8Puj`6iW#P_s`%F`$oeE&XA0si1^= z-GAnzIX}1fKBH2ywUrc|Id_lgMSNbx_b?ld{jRCQ-lS|Q+5(L4#5lBOa@c3Va6@r% zQU&P~<6$(eBuoFd?LITN{7`2I)}V!NN2En6ll#GewEXv1)Q(U$VYTLw(cV^ zZVmJntoE(VAKL66#-oGJxReM^K7`i4q@HScp#3(qAf2ozJUbrkwTK_S2tD4Qxt{r_ z;Z)q3w}_^Vn_V1mPX!eELIj^d&cBH4eKC)x0UfYm81&0|U z;}{Xtxlo$V&P)`vk#2n^`QbarNXr>|SU)bW5~T6fM1Fc_tD+um0wB0Z6z+Zdr~LeT zd8%*sNbf)1NvhGLZ2Mm?-FKS$7){uU#8ur$If~GwCxM{x$<>!A@1M6z=lyU)d_@Ew z4&z1PUNG20AS{K;PiyndttCp3yh?N=q5ZFaWKg`;JH$eFfbnnkEycPI7n`}bxe>cL z$G?9M;A>gM@?5@N3OhSHOUkDEmyth}z&4tfZ#e+*Iuf7wk_m~q?~}$*3WeTZ=G=Gk zwVhxYI1ezg^GJd33_kvp2HO}FI{F3zw;fDeN(yP|{_cD|(`7WE$jb9qyo}=!)Ot=w z9Jy*reN76d9=3B|tU@dm!M$;pKVSGeAFoLG9CNJx`VTfxdMs3{O~CWIECO#lgLfaLhxh~!XYVlpq0gB4t6RZ@zm*hcW57Ir z4=~5e7bbhBgAYS!s~UgVSrQWyJvY-VVK8k&H=hR)q8JoY6e(E(bHmtsw+CfkM!=-%H5*?>A1& zsMuI~s@RWpbwqyc5Mz-He09umJL(?c+rZZd$jf#KokJ^<77cH@Xe?d({={8=LY zLAUR*euP_D9!v7dDIiGEQk06yxm#Ofz;Mx!KSTF^@YHhw^n*=gW?1f?ARMW}VOB4k zpAx0B!focMd5a-0Ooa+7n6QE)&D8AdUhkz-s+K*&qb}&`?;aj@7#xfPLU|}o7vG`X z_M7NSUES(#S=H+wTS*0_u?JdMs)WvWDy0PfNw+gyd@4<3AHFP@-VQFdtN*d8e4N=%Pc&p}2@F;Qi5{p=Zr4*3TGp|Fk zWr9s}AgU#qs{=dC7Iq1F91cIqgms)9%%8+~v>=@?xZu2$k*W4Rw{O`|a?ty^#e+!@ zFKePot&p7aKfuDxw6Iu;IGn0)P8BQGTuN$#Nb3cioMKZ?QufR5#MiCmS1?9gG=7Kn z%Mpjyj{D{*hM|BaqWVL1`86{z6c|qhH&oJp4i>z8 zd_oQlb#+hp-4EvKM(2UIm}d~c_cpm`7wN+j{d#@}OYOs7A6X(!-C4f8J3E1!*joKB z!XQ{hR)Z1nBb2^55p`H@ZEdZAIvu#PA79hgzs3dHQnt+4g7fKb-@dh&QUkmQ(^{_| z;%K(j-Tdb%Yv6Nq5p?!nH;7^4fG#tOUCI^n$=5d@wLS7a+ed&Icx@yB%%D5v1?V4b zun~Y4u#OSF<*4H9cNpI1hdtRM-p47>WeS`WSG(D8O6|)#8=LBNW7u2hd{ak$)(5ygHSWxfMp&jYDPzhUujO%NlE#$F)(uY`zFhE`BzAp%9k1o~!UO}r1ppfC+pHh{m7p#7 z_DS^-Z9)F*$oH4s=%h?EoVjix=^yPtzDllqu*;y(&kdiKTJ`?sTZmO!s)N0IJt0nw zr&wT4zT5yUDzEv;H{RsAHG xGYy0X`SlL4%gI`8NOmAg??+hpV5&IdO$~6oitp z(xsc5Z~wi8r(d=B(mDb1x*p~N9#C-z)+n&Hi_sck7Yo+Fhvzw>61|L%ntOvdv`G*g z4aiCl&Qpwhy4id?+4NgVwh*4M)T*7+Ke7rkeY7e_8nlnms({~3&IY_ugQrfKI33A#xxKGF`$e=^C3fcf?Ec|mL{Z`RcyYIgd7EBJ>!!O5PfsMDu;FYB>cnzv?;ZVlY)sd zDO(YMilD&7Ga@cr*tw4HG!kO?$3=lnO%920g69N~E0TXCIkqngGL538$YwRa-cf-f z5}8%j_G`y_A!MNS7$-W=QbK%2b%jh+LjXxPUY0%?9kZb;lprJ%%((q?D$k}jfJi8< zdfbWQhYQyp`~`->>owRyKpN)kg(p^c8oPiGtd#LQ$(k+r!=&}s>dBhfjRyCSNCjeA z1w?R^0SfL(t_)4rG5jy+_hn6{RDQtu)g3@XOk`uC*N+t^f`>M`u=p1IpZe}7c=fey zi5vyY+ljC$Dk-hj&)Wwja?#O4UY8pwPC!%-;tEw)7C>osKj;FYiuBEf(cMO7HB~I? z{U4S4V59r1>Cw`G?;mC0vQv`Dzge|ZPtviqGZy?#Vi3RVdFqD%i(^2C3;BXVLJ$3h z0bp_j_(3wE+^|T7%Bz4-owlHSyI1Scr<>%sLG1+C24L@xkW4WheAXX*pPcNubppat z<9^K$5W}#kgmn@R>E5Aoa{2@PfjH5Do)lH+NEl@M^~4x@5@=MQ7z}8pJ04x(KC{sf z95<+z@FcsT^}r5R&SVQ0F!EUBJ7WcWE;vQcs$&K8g&lnN^cA>>B$KiJCeZ{xE}on+ zEMZ`0Au)8tdkvPiK5LoNQ#&Ra>Cv)Ic>yT0ex~2mj=;KxW)FK+OJEq)JG6FC8Ub2v z)?}gr#PJorAUJN`;>D}+9L}s__KhzpEHFSRBn_w9v+ z|I~UteK3h=^Sr$WU8@%WhC3!OApBR*c!I-}R5eE>BUokSH+ih{oKIVeajAcRKU9Ve z)bPsxXhhV{9GMU3Ely8PLaR&OM?FN^1_%>8Sz_*=6XXkxNkdPMV2+?{vjYBBQMv+> zDn|8~4LNCS=aWb@6a&Yhe3#b~o!O47k+?O3Nsq-5{DE>MbksrsFC*BuoV;}P@IVq* ze)VHvA*!sZjr{(v(R~OUtk~Jv6=rr(#LFT(cy>SfY(7K``TS1IdAzp;0EJ*x_=h3u z>u}attKQjB;Zwy-ugx?V%y61ZLxHu<}> zlAGGeFvbj)2m$jx0s?|@H(%X)w`|WfbT~>dzX#dX#AVdx_bBvQov!e^mr}u7MtQOd za>m6q2*Dq25xAUwJXz((dvpzS4x{xS3Qv3B9^XghUH&s?363u>$DlUbY3ATKpY0YV zN%@av>?}YxhZi#7zz*g=y*DCMSycrW;3u_>dO#(~368BVey6mze0qNQ@Un}f%^w_2 zpc~Lp6b180_W%AoW&?p;l}Zj4(2NG84}|ut=@+sHjQSFn-a;41$L&{6|v(BOq3g?Dy9z(50I44Nk$9DiUE_u4Hf zKK`k$62SE!XDkf5KZp9p{LX4yOqby_=DQ3v)MMze7_zx(ky;dfeb_uEkZ4)L#Kd$A z7m8v2@QM@v^?t2_vmqep+=>K%fwsK6VR-kFjQy| zL}w3)QB?C`(?jU5HiTk0eR7&}Pch%%VD#GnUdAzXcE*47+_vLC5;1hbXq1SnmN7W1 z7(Hr3XJ#c|69}a8Du1p}fFR315k&%Q3KwaDtkOO2F1J#IV~y^9r+BV~Gt;0Uw*4u5 z+Iisq^fEm-Zte@k$WORwh^rV7BC;Hu=d6l}Zmabh>{0v~t6V|tVQu;DU>T;PFXSr7 zO=~9lQ!!eD9&$;lvt}P4j%A4$=fNt~^D%5MvYL8PP^h$VHt!(AfG^?U!6ynd?Wa3> z!VD$9h~^3uU#Rw9ij^oA`cSA~%5ah^)2t-XqPb+0ptRrv5QC}wtvW9&y(EeJR+%G) z2CZy&Nj(8pSX)Z~uVsQdM8utrkbpaD^gLjLq7Yn?@~C$grW(ty>XE`FB`3czzojVn zBbj$ocvR5zVa-XHi#+TNB2@|xvp7O|MVgr&DssHv^w4`h=12kzFRjTjQ#r&B4>=lP zGO<)WcemFke3R4dNA$GHULm{U^p zcyE-oOlWY!8Mp+#w)FLU=rU`F*iSFPV%48{Lzj^{g(2N$hs`1KzDNvCQ;{=HFX3IsY0!4O&2TuP@Po^${fI zM=>URiuu}WgDABKy_fXg%)s6}y*j-EMHdgj={Dfs{|XyX1EMUP_~9!+ord`r6*2Mf z@jcxfVl>lau|z+Vugxe~{C~+T)^S3`qadzU7sV(88={8}wuo{6imzF)^=~ z?N0Wo%`i3&e8FgVjDYEnUZ6?&y5S4mNbleYKh-|^dY*^~Y36&W2}N0aDbT?%eYjtF zMN^)j*?nZ@;$luI&FRb?vlPH;YoPBdHxB{IlKhx*=D>ZuviY#9SoAMzxo&N*mATk* z4p<^kSaUk>Z`$r!AmfgHAi7dqyg)svhM^Jb@27txH%nX@XB|Est3N1uZr@@|bROH-Xe?jsq0f+Ww zqA#fZIs$Bf1cR4=R&9)~=Mt*q*jXkE$zNA!CIDsY?sQ3vHvWfkS8zvat3P5lPiM!< zsq97Aqp?I;b{c4`gW-8ah5k+np6T$#?3(P*xcVQlXI9ZNtWuLW=Yu5* z(C$3h4Mhl!2aOSf>{D?$J^qT1m6s#8IL~gWaa0Fm81m72owmPBWIzc25UP{^E{IdI z)KC>+5L6~#!=~7y00H(MZGYOcZ-ZY$J~9w_tmlPyhTwkrn@)bQjNz9@=T>r@xopWe zCIOwPGEuC3Ixgvon*!QpO0raaf`}H-N%Q-2tzIs@v`e=TCnQ5`+r{dV#nLlZV39^) z0VScKj8)O)_S2f{ybn^Amdx1Hq6Wz}1YMC^7A>hQ@14u*%N?*x3>9Fl-HAhwr4fu1 z@t#P+%TmODkAlnHQN6n^?xaw0l|Bhb+^mWcNf9{REY{6uW@vJG;cZk(&i+RNURyBM z9BJxwe~y~$8dOoRn>K4?N>^y!*88>7w3>|;jlN)xh$t7RU%zh8>ujdgT<9e&xD*M_ zMcptb(wq(Ca5D|CM>shtwH=St`;KR!jEW2=@C7}U^^bc2ceLHHURlatnH|-M@gn&+ zQxz}6i1MbOzPvs`k$Q)>q!JG)r z-%X8R74X8FEqikL*peusHS2#%(UwB%#ws&p`f{fnB+O`un>byriv{==k{B#<{@nch z+bzDc<|$CpT0*dfh{e;s(T0dIi|B5}*DwC>vhCKdCo^SFP89p5ZO^O~^glWbXtIP1 zFO515&>{D(BuM{6HIQX}H~Lj1iTlV|4@-hnm#nOUw2(nx7_m{R8wfO2uCcAe)`~*GU1%WNuag|(z5eG-L#;? zJ-{=M|LujL9jz?d2Vf_IpT*X^b;JuYhQZ1oK=8Ks^S1GXCb+Wbos_M_x~7r&0XBlnO}%E8r))ejID7r$KWZ(@Qkmo(pMXPMUG6UtqBe zi6b+&(*u=lAX_^9{w3F669ph54==9-E+k)H`+^NuWMGp`=Fx?Tmh}Ffb$-CW0FTCq zKYE!;=3{iUs|{(7=Z3bpou?wYwjrqdnL=?VrKTJY%>=kmr}d0*bgx;%t(vEk6p=`6w#t2{Gq>Q z#cu_>CLZ`uS*h|}^&sQ5EGJI>JdRQpV=}8u;4t4`YJD_q;DQD3KQlR6Y8~gXQ|7i6 zrs{+1(y@MjKEg%B@ALEegRF5xUu?ruHS;s=RwAw9re^W|-=vOy6_+f+^6yA>p^AHx zx^2ta=Ac?#u@`xn{mahN;^%9qyVe9!?%%DO^Fx#;&fTA_MQvDm$9{Evon`zYfdO7B z1z5LF*D@=lvXTQWaHZuQUR+kMcj%OFS5?ncmh||kI5&;5{YP7x+Yx+72;Ga&n$@uk5RVNcGM~V; z^@w~Jtln-u6y7}Kx&CMwEoCU_*>j+O4lw8ZYhR-fa7G5K2;PqbXXqrhn=jc&G!2H6 z5_95pmBw9>5?J^x$A?G9Ru07VhR^x}2;QJYy;159+G#}OW&aeEU9-(Uf2WH7j=UFXNZcg2T$xA!;aW^Oj18u%HN&9s;+#;TEmNI8kwW{5IMYIGO4^m77%}~Y@_YKb2 z`doRUb+{WQefbeDTDi^Sp#J#>cOU-#o$)Xx1Ra;rv^egzHX~nYNnEzGYv)YN(wVs} zp5&O-zvJnCELT%f*ORE5Epd1EGIB&WZBgzlO$=*N@%4nY!ULvA%gP$GLWZXj*?w16 zFmVNihix|-PhBd4fwx!r9@xBn`?+aN1Q5u=R195O*KaolpiUPDNh8GTZXLt?-ynVu z#?U3)WblGRvyAgQ^z-{We!uH3n#22BCm#T6Mg~?_MO+<#lq*pcHSm@^qEyP*pM?_* z^Oc6pJi~SpNtUhk78REAx7G809rdGtWqMObIxgn(PcxZGnJr8y??ZDR*=yTv@Dg4B zv$>rAkNJ7%VJ~SVXbb?7z+vn|WJGv7gK@gWiCckzZc72?cn3Cu# zMNA4xp){PK0Vg_3kA8!M>a&(Le-hu26Rux58xh-bs|dfaRr%Pg-oN~}i49Rmz(@;~ zzFEFi^;a2S;__tW8rLhXRjoy_U1|0mCdeMNihZY^SX#pF7*wL2wBZ#UAhzaeKk8s1 z9P#fc&!(RxEw8|ke)jpOl3-1x;5;J|XDG>?{QD z=~)AHCuykMuybN+N-Lryjz}Y1W*CG)f^NJ_(rBd6m>4EVE|4LcAfh{-P*G=|6;s*z zK^(e{BCP2R9YuBEDZqADeI~MHx zKrh!yICHkRiV6Z+F7`0MZDUzA8SsO+?L{ z@O~skWwY@OS%*n>;I%v#76GQXY5yE?^fw}gALN(>aXsY$m~jwkP-%v25$}sNdDYXb ztY85lJQvoHpUDX;R#i8I=^mhOJ^sh02KD8_kNhpe5)9veTUXO_3djx)Xm*hi%<5gf zzg_;=-rl~_#}W~!;=8M!nwj~+*H;8oXp+?wLo{GZiQYpc1_Mca)XWk~Q7{uC_tX{h*r@ zPk~q)U31jJdSh5bZ<+kX_*PAQqsHRy1|2sVqLkhw7nuV6w#yUirC^PZlV>0G6X0bo zK&CDbKwnVs($Z@Kk43i&(6ty7go@L}2|1Su!n4w{@A+!eUS&7v3_{UOcDg=jpih#2 z^Y-oAC9&XRHcMyoBUxn7PR==##Hnkj`>c!sy!jLJf(9M2a&{I))p(S(-Tf}CGy@kU z)W+RiV53{2D#_+e>Ln6+_m{!oprtjoJfKNb?0=O>I|{0sFt;d89Z3uMR1O^x@Cwt{ zIk-u)FwU-h1?@Tru$?cO)p3eUPSb`StAJ|-GRT4cxF7~O&|wFfonYn62EC-91sT-6 z22iTTNV@}&Q02KaYcM|4S}mM(zMtfNZR}O`1WoJpz)2_C^Don@Pe@!5VD1My(sUJ_ zJmrC8pfiM5s5$c-NqihS3LK*cbSamN3HkY{nVFp`*M%^C;N8MzSo)jCGtW>`2XNRv z@FD#gyX_yuP@$D?A-(BRiOGUVh|M630&^xG5l{w9@Rmnp#Qlo+H%znhM?WH<{xlu!v7!r84D~z8hWF+284# z%zmXHTfr{p|NH(Hx;J9wkdl=n^!~{9(nBAYas&Z9v5~hMT9=f7j`>BgO;g4NwrJOx z*2W}<(uBaEX0`S5DQFt$-nFSIEbFvVJlhTDWKi{gvn{Y_Nd}W6JO=NVT1;Er4n$hV zAuNKL)H?hwSemZ+K=aw3wTRPc3FF7i%zadQ|J84l@GN$iZ_ul*Xv8|mW{w%lg4LZd zuvoEqrms5n?7sH&Lt`6raQSD=dVjUKmv+G#f&1S^28IRrK{u9;T8|k|Yr!|A0Imhk z9j2d`hM+UXf^?h*DgBMOF{Yaz31r{mN`TyJah1;UKtnSuY1JxA`(vr#kBGxRya*Oo zxo?}WnRN68�L=-(C%0_@cgySG0-S90-X=4mH#3ZbSMgARqw4RVhu4Da0GoKpIh| zI(QUKN1?P;zVgct$KR3XAZn~6H9D3ZhHds zA(aDa=SoVY(r2A=RA)*8>AC|fML6>A1dW#oZU;<`pdn0pB3^ONC6tVblSq5jEmE07 zhNr~hU5ifHv#E^(6%$JCx2Z+y66%UQKli!qu1!f{$tC_ZLtps5=z9sfcX09J0lBe^ zp3{M#QC>hI^*8heEiJO%Q+DKkIK1{nK8tuV%KLm{$`z7-ES|W|C%e^T9QRMhQ4+v5 z;5i%~tH4koMdK8vIiGpAzX-_EaF&fr7)Gwp^ILT981O&0UI6 zT{zf6mv=Ao0ozCTTrXcvZ%0a+F)K(0C;tT(H-RQvm{$T-4zab@xtta#sP4HYsZ4(q z9Zk+9Sc}jXsBvOCd5E)vtYDBZ{{tA>rQz{cMl{ScSU*OAB0<{S<0(i>xBqBRH@x5S zO#X#(n)^~XjfX*+#*fwHq;wo9w(;Ev6;PV2+qxM4GO1`6P=UY5>E!daY1@XR)}+JR zp|)?<_tgRiUJXMR4}wUdHoF4d0tZ(y&Y(WWc9)T14W3`D846b#P0vyMv382Bt9+D- za&e=Uv$Arr^X6(iV?RVUByg)kOeS3OYxv_#5?ZmMcfe#CI3&)c9|(dY4MXV6>T)T- z9%Mc!f5;HmHB7D@Y~oBZ_0#KXrB&<@N1{>@Z&{(QmS5!blMye?`{ajBjy;!q#QO|G z^SIxsQbb}ue|PmX_}{NGUn!@!Qiw zJZ&pYK}I0S`W|ERbk09=^li?>W?ST`MUIHQg&QplE<9Sj;z7z9aoJKGmj4F)a*;E4 z@4+8o^SL3&yb!0MyugQ4k_{a^jh8+#Nh}GpP+wCncG^VU_(p_@lF}U@LfGK-&5=xC z+P)RW)+LO4zNrF>mqw6UKgoT&j)35d=LQi$)_jCBRx{ET3)O(PI zm&wJ9BJX;Jy=*+_m357bj^nx~^9@ir@YP0u8}SbKCEbl@Q(-E7%X{R{0<$^Igq9vY zu9VZt3p(EyWqCMo7^KDlTvh8hDaA@}okQ@WukKvO*0tY}pPQNHauho)b*M(uWL+?* zyqD;b7XXn)7L@Yl$pN{k34U^$dSi^YLg;y3~>27o5TGZ1*!`aC2M)|bP zL{+`!GRb)(>L=CQ8f`)73|1RCM1GT+88x;uU7f0R(6YYH+LjbQyDq=@yM=a}%{tTY ztTg-q6Z6C?-fk-$b_K*hKd-J&7oy7tRWO zlkPJ3+6%i0jGe$@Y|9;9J;1q{f3(njG54 zsH)B_3EEx@>OuGBe^|-Zhy-iBTyiUTTqA2xfCy+BAM&MC-2kZtI*^j zVK1DDs1?q3yDl`WN2em5svM%K7>|?w7B_x&uzNZJ1##I>z%b#u!L!c(ebZDFi!4cD zPGTt!{ZF4V@pH86o%IyUz6f~Z)oE493 z_R2FF78z`e!2!W{uJ_t!(#;z2E0)u;RDhLQ7`LrabR%nwh=X^CrpjW(2wJ#ty0%WE zP{Y7spGg%*f#%}QvdI`z#V!yK>~&qWNIa2(DChN@#t39Uk8v7Ne3}O99EGb&>jfEztX7J-V;`7Z#^h{>Y+jeJ|2#($B}ydTBB-ZOkFMmR0Z0 z-{P!2<8x_n4WFjPlI3mn(%7agYP1p)7neC>dW=dTP59S=B8RWJ4@q(+A4v3L`5+@S zUX(xIGM1pJEsA#wbSj!xfGj5Iua`&CBB;ARi+V8axCtlzDJ6TU+@sRLEQLGMqVlE4 zD(TslLWc+!MQ3DKFL>S+LbR_QjE_@9W2FSgnAg(1@O`?b-eUzspTnUuu35WuPfhJ7g4~O%GJL?2p(32;&y_6q9IC4iqDV6!)qJ+% zv|*1*xt|p{_5{&b*@&RyTjvrh#XkC&YlqUO{?YUSK5qi1d~_n(_Mwsst~Zj7_0~E? zYkmG>^a2QBS^hSuTI(&d`oc{CUIdOLbEO#-C}tova9wI*W%1(E=urOj!sHAUZ0Y1X!zs!G>Jm#Onu(>k_&|L(-;ejH@9L!EB(qH zbw!;y{*S=Z*^LYZgm#@p_QK)aJs(ok*Ll=fwPvw#>`vn55+OrYI_|y6HY=TblC(OM z+8OzHUN@>kCzUqN4&Es$lH);`>8U8Xu0SCsLKS9raALpU_21T85AQ;FbKhMx>5tL} zntZgJ$>{jy!f_u;^PtDT2~b+OwNV#xwR<~sqRJEwI&?6_wGa<|BJpkSkPT8E>n+-v za~)|>cC_0;>mO1SPE%5z){{}v{_9!O3@Ii{RYx$7J$>0Y? zfmCts3fcsLFXLNDUjwmov|ln*(p2mympG3aK+iN~BZ`Ek>j?rzys$l=WATS~^gRDQ z^l1F^4T6%pmzQYm&=7hF^5rAqpB%v5G(pXyaRt50Uz3&2oK4H3_Ffu)CZA0jw9IbX z*2{-&&4=#5|IgTK;TObB6MCDxDOmNlnsaO6*QsGn=a(_&VAwCExw`A@&%;_#Ryq)4 zOS-+;$h>PHS~q7!1tsj`s%NLbSd{5ho$j3>ZLf1xRu)>OiaVWSOFz@Q9%P=Lx8gBeXYMTr6-RR8iOQ}`D0aK3_4h8DiRsRE+;lY)p{f(nN}O{JGM4Ku7b%?qRQ4TEA^T8 z%$X(Eh@yXY`IAR5G?@#*u~7P*{3;P4JpN`$7JcD7!q!36;d-U&jg4Rp#6i#m*#(k; zH{?M$!G-dUsjBPl<0GabQ;fsgMODjYnGs#a{xO~kr^sr+Y#HMQ{n;aw3eC6>=Ms5#RS3-K-ti*D%h=}b3wV>tDmmBY07xXF2ZM- z%G*Hd{nN1`+Fz_!bMADXDZ@sVlJRTs0}eD}JmoXglWnV z#X*Ou+Q~Z^ItcvafKYozExVQ?3{*gXr1Ckh6&4lOQHrICohX*cO~bkr|v7*NOXzwh9@SqjQt-+YT>h&2kV#ySn>sMZJjpoz5BYk zxU@a;^=#iIY`@*oNN6Rg6S?db5)HM|Bt~hesU37WhyL|W;vUQ6a-;I}Cd`3p_SnuJ z10$=Uv!I5=VYs+D3OWc>+%!$Y4TWae~2gbsu8_n|6XN zUE&ycjDhzr)eDosOc!rS1QNm?$KTHuYS6mJH?b@hYPJnh8k`xEU(uo=f{PPhDxYvc zo5NCk6{RKnHeoj$jSL8KzIXO5H4HSrJP=ZKH$GqIGE4{tD`t-YbXJQ*-Yyf!pnGt? zUh)+|>8wwc)yeMDU(<(CJx{K*o`9c&=*bvPBzUuod>Ujhfie|`v|0*V&3VPu@}83DZ(yhu%N1?R~m0~V6^4=Y6IRV%&D zqh2^oZ89|)0$PC={$Z1+=h+(+Cea3D&R;y%Ln$qpN)s-R>SoI*fE*@{drEbcDsl!M z19403~3e z)6FWm&|_>RKALdEsk)1k`pD<}Dxum2pRwC-q*OX>44pa!VI7XC4n5}lncqey<}(kX zt`w_q=JyXUyLqy*Sxza5Qzu%J&WV^!1?JhFV7=a>=~2uz^DrA((%PX6-*i12k(tB< z9#(B-mv!oZXgV`aB?(CdQ70yzc%3R*6eY{Gj(iXrsoX6=scX}F6=kCQv(loBT{w?H zR}BHC&hVqhA&=qQZ=tC*^ z%kd@GtwX8d6CbP|(A-?klFdBlRw2>2$x2!Gl>uRoyXwaTit?lS5vslk2ni$B9V*3L?zK>S!`*;586I z_F7E7G&gYk%$qt~!hr4R-58vH?wdUYY7Y1mX-3UvzSYZ7VgDYn=fYY;(Gl1J!{YAakD0eGxYrd&G5Nh0IDopfifmk(T+D@r-|qXh-L9S-uaKrHNE`R)%40=rvHGZ`258>wZOiMMM}|N5J|6VRVuS8)EVsIY z?#48O!_ETt#g^M4UPo9{smpPG#Z5CVq4u(bRg$!Ne4c1%L{avl`z;94yi+X_@70c` z6N5$P)jhpwk{hjlbkgT%e-}5mV;_2mc#Cc}RP}dxOG=rTTQFx*Sv-RYQSx^3_H6LU z*3{vk7BS`0B183M^^X!=Q`-mV62H z|3w$RbCpypLhSklXK%VGbwxO&#@$X98jX4#1)dpyG141)Cr}qw@3JMi?!D#&dg1`w zAhh90)D1`oFt|}07@tCgx_+u7g!J{v!1)Lx=jZ2GGp)@RoerFP3pE=*CJw0_H-05d zK6+X6?Q!NF+gg~sX)=2X1l_-I6swVsZ4-GccV)rX`T8Z#bI$aKnT$D}iXXe}zq8+? zfJ~=pYH<+Yzx-fV;eCmk8`k@Qk~sW5gA>uxJ6e0_c_~y8m6*)~20nIU_A=rCGevAOw>rB!tcD8lPPhmKDigMff{u zy|3sYT>~j$u@}rCo0dl}JKGvUIijsR?2vu>yChBrU3b!wPuy_ybf;xwYfJ4RFAVzh z%~sa`1k z{PWvC0haN=O}7M|PH;x(2w(^V8%fRza;{XaV=5RDpA#*@Y#5Jy^D2aqceL0dgGLN} z#?WOjjRL#_Up4wel;}PFfu5NDIsJEKE|%qN7caEzpQei&q@2E2CR-E`dC>HJ4b>ID z5w@MC(Gj^CO^9dy7KWJ>Wlx{0m7-K}-a3eijF+rBX|i9Max9 z89TM%B;(0%jJtU(M{%+}Dw$CCQ6%JavU$#Z-NMgVCtm&Y?yG4>WY5tZ*<)+$>E%|m z4X2`9>~DI;A==l*;&%BEFH+~OYdtt@Vjv0^J83HTQ-Q|ShB!vyP`dBs^9klucHoXl zFP7m`i{ZR-*lN_%uq|XFIv>-xzxLIREPgso3bYa1GwDEMzzh0j9(ZkewF!Re`3p&# z{zy0|_SOm!qGdZ}UC|_(uz;~f3tw>x)5pRd98hk)c{q=OBl}IKGJHNIeJHp6p zx3f7BPsAi&Z|$QoFkwZKnZ;ng=zQ;Z3`Cpzof~s=uWHz;RpP6kZ~GNb;R!>p%y@;2 z^h>Rn?mHo50hBvRk2TGSMB9SAAN?+% zO&Fb^5d)J)IhbC6GA@b?FS*F2N)U42ODsB4v8eNag_Z0ooB&7(SJPWAV75vERd=cn zkJ;Q|!An=KS}l5i+~R=HnQmjURzE!t zVDeoL>}jWNiBK|OTNah9K8&$p&#>JmD$hk!n4`nMxkl92Ai+XdzyHRgHj*xaE^-(Z z`!hQ%pinewX4AwkU!AODVbDWq%b}dz@Ogv262H2l5#N)f64yZPFwoTcl_1XpdPxyY z<99iEX3C+O&q1RpI5}a?6$$KtvvV@CB01fB^K4A&M)gaV75&Qt^^kEbB|dGnG>Z!>P9YWs~t z|CIr+EovK(jm>$Mkl-@xpd{hHbcF2Vn7vLeHd|7Wx5L?XWOxgz1ghE;+Z_k@7H% z6x1Ym*P1&UE-USyyLP0WJsqj(k`P(rV6Hkz2c2uzVYVsZdt%2*TlWG8OZ5ssz8zR7 z5g&->DILvPO6;AedtC8f+Ph#`9N0h|tH!DvA1#+;YAzsm^D$`##!9k0+t-&tJ&BV` zzE=E6jSjRa+8$SWYDDe-H7&(?X=A{I#l4ykH!96{wl%#+`nc*;kR)s~YLv7OeXJ zs!vEv+(D+f3rX|&`t4f;&A;>Lx6XSj_i(i1 zi^GBj2Od7fh7u0IA^2Wn-W^u{7Hd>TVud3j%F>EGx8JlU5cM%|0?&wUhc*sLmhMGq zDUni{7i)Wxul7*vPE3RBS22oRBep91)-Od85vMnhCxVUWb6*dJa^I7U$y1CCeyIp!OvVe`Po-Af8NSDCaOg?drF-ZkzQQn!Wji#R2G}vG`qsc`-A8FXv5Wv zRw+CzzgL|9l;th%q>iAKg2qJiCAEsBHv}&hktod#^~E#lp}Kz<8VT~;+@u_L9_R?5 z==5wso!cOl^$FmfuNLxXl(nTKv~`kHZn*l;48z4W=N zb#i>=ekXFEt$KI=$ndg%hv%JcEM!v>f@xq6^{m%l>G{M%$aC zFCE=H-MWGSCLUdsT^}REbNBp(e0_va(7yft-MxP!e7_Er1&hTK4y`#G*t0Ar@A{he zY|p&L=nsefa>4%VB}Dyb3VYu1=WSi$gF}5^Mix^jqg-F;6 zopIn5G=W$W(}WbY%CSil-=`(|OE(ij3uhSSq&>}cDvDBS_D?*nUjC^Z>5<0i(h6Oj zq1T__Jchr8k5>=~bo4hIMc54xIQ_fs)#sCX(N=g4dDU7gdr?hve@{OZg?TK0SsZtA zbF*#hU_@k_-W~zXQZRb**d$4}F^b;epxsU@I)bh#=D0PO=gdU&*fN#7pZnPiVlyJH z9lH%d`;TwY&cCTfYNBs_do|-V_0IcBN}ZouBxhO&LS!f;XGr+u*MtZcaOF;AXL;q^_`EoUr}Whxx9j7anlz!pj4R5V&Cd4Le&%e3;nSba_*PD7G(c`L3XR~3 zN3t;t;lzA`iWZ8AV2eZ;Zms$`Q!7L}627Zn557OqaJ>WogC)2ZtgY}|*`BlX7Fn}f zI?d4x3lbV@6FRrpIxH%MccVc<)$x4(O;ZEYwhrsAb+#Vgr|C=tdMMM_O>5MX{R*W~ z(=V5!nMy}*oz8(l_m>~V5~5yhuJj%T!aZw<>|e8|pt3@uW*5JKa;Zn6Pg$Xdvy^E! zRK#xU5dH3|Z*Xc|b{-Z7_bAZOXn74dtY;}h!oDW7+2JkZt{^JYmw#W@VsxBfHu|!J zhX6z-2jDbet52rIKcSlCgyt-IC#J8|q|{HZA-SubIeHyMWi|JnxpGwi1Oh;903KiZ z75lH+e}}c_036{RY1iaWGT#psGT$Cr(r^ztB{LU`oyt$-7N%sReB!!k&jq>)kkBye z8L=q`#VsKUj^(LWps|!V+?thp;-)UsZ9Y=^K}RR`-RN1EF=5K=K7O`IYRvmBBPSgH zHyB99=L_Yu+$deV1->Sw6pm~{>e z4Zk8;WBmCcVuz>O08W=NbJ!6XGA}GBoCuR606>~n=gg^VGZvqc4vDw>~5z;B>7EU4Obvw3qg|`HJ&qT zo4n@p{>76upL0gDmdIKY$sBDk&6F;>XSQ~A{zcb=4G5uDp;y7;^(3=YG<#~Fr}%1S z7dMYBWqy%Nrty?CG??64Ay|rhrbf{scx9f1 zMtlnbKr@T+r^-SfVxe~$lQGHOe?mH^bv9IDFRaT}8RQiatzs;`uxlrEpL2C{cP9*Q z-?#^@XLbK#f;+ihEH&y06zFYxcO$4-Scn%iM7-d3yzd2Ut_|Df5!B8=KSjh^?28B_ z<`3JU!58wSEpdjvrh}6Ss%~g{H?6{U?k?h=NHc1+Cn1L7piV4Cq9}|$W3#z|d(g!j z%g8_r;cZSs3SjNHolNIYK3o*plb5z_vrR_XqlQzi$z4&$T4d|_?Hw}^kXnDj7vaoU zXQxCSAabKRE$pvTljh|y6)w^xe7e|#QdhLW{@ZkkB4mk6#sa5UnCQJyafTGqY{jT{ zbtxgl`olPKx~uSURl)o5-nDRgFo009_e;~kov+BfXsvP}XAx%Yr6z+>(WtVSp%!n@}XYvq=p>`MYe5Ru4!&Z6>^{7b5GGCAit4$M^@AvE4 z!fjVp1+JFiLZN^jf0DW?IsAEc*DpSV4-o5Df#)x#dqIiDO*HMTu~|Dc`HOCh0x%^0 z(@U8K_!DSMQpEy;QL88LXjQrEz}Wi1DqQ^ZfHKKePpQ<+O1NKlYR@fJ2@V%eBHpO3Og4a~B_5UWD{F2#H6?(a@c2@wMmSCEeGZo7A zshPv}l83L223V@3?CeYfpq9CJV;`eE!qVQ=l|&Va`;$N3gkslOI&rfIkC~OYItL;M zR^_kMivWzk>-%V0j4w&ZkkR952QNr#cPXILk z!90eMx6?o2#TjhDn#JvujcXZ_T`TbK-vI33-Gz09UHkU(G=#Jg*OPwg_D7l$<-zVd zo-HxLzTu|pz@;e^)|Eb3;PLjwP!@J=0RrDv52&pY-n1jlkYy*SGlR>HG#mk~>H2-@ z7lz=7kJly@jw_=%EtoySFtvsrX{TEM6`V?4N!-$((sLtb+PaoGEc=QpVca=E8$u(6 zJ|lt@zAiiima}91gC7B1gotOPu|&*Gcf%1j^w;feVVmxvb+7vF0sjZ zvs1My*ZG5MQ3F$s;l(TAwNsAVq!ia3DntZw%rY&SAC#0yMzH$uk>AUG44U?A2zKk( z(Zj7Z5B)_v?~a@!mY9G-^)eU-x$2gMYzzGpmD2?zOU_%GFsa0?)#WRuQWVQ~)T?H4 zIIa^+%l$gO@=t{t%Z@b;Z-fQC8*ld$Lfbfa8cRa8MeYf6-C|s7Qe>{u zyB%VLAWuN24s4V|#{4V;On9ETZb0v~Z(6O8a-~a=O0=F&THSw0ujC3ASw@U?J|M?s zar^8;Sc_}G)B}4RDQC%1B(VJ>*|Q~T`yvLso}dftlA636PD?s?fb(HPa7;~nQIhdD z_aUAUjMafO0euKyukX$j@fid(*=jI*xd2|fu9~F7{OOO}@D1$fGt#$-9L#6P2;K#o zVPwg~o209L{@8fGB7X0sVB*Lli0`Cgd}x{r|43!G*C^;u>q@?J=$axP)s2fl7HS2>HS&+9k{*>UGiHEIf}=dHgljf-F-&NMH(r-&|T$#!gr zvuSO1)DY87#K)^|b)CjWNXRuEzQ~L+(ws%I7C4Ds&hjw5Hz@^}_Fxn6!91#%d^%H| zXJ3Y-gQ?Bn>S1#kQJJ@TyXl`j)oEV8Bl2sL{J2mxS;x|L+kw?5xw6z{-l-Y?ADMVU(9|3&2zExf}euJ7VTk}Gtfu^eB1tN za54(AG+?x4YV{eW!xF5an*BJ;!U5$XFyiS9Yz00#Rr;?~v9%m{MHT*YQ{N6n^i2-Kojd)ZwO9ZRoq7V4g-8f+=K5G;!9u0{U=x{_*jWptv@KVwo<4hw=Q=;C$f|IU*9<_tV4NU5~Fu*_NQv%dCB+EOcfs;Ak*+r9}LMNJZE zv+YG2tM%pBt@+`<7=;2eIGgjU0;$9(`RAM zxiKD`alRXi949r4v^SliMy`SSj!)17?wmJMZ4~sb5uc8^?)WXC+l;27d^k5~QI*|N zN_V6VVt55@X!F}?ZeLMj*jLMqoTR?}KUzoNOkwSZq!3fcQ3D5qgA=Z;jmrwK@&Wx1 zkX@Hjawq&YUb^xO;PO_jH>kZ<2MkOpJcaokj|rs`T^!B9IWfYat7y{ax>@p3(`vFu z!#7XbSCKJ%ZA6ul;j-}3HV3@^PY98d6JU7vzuwxq0Oq`?S+Hp7_GVeqPJ@t8FXSxa zy`EQ@2E_Yo{`Fb={1->>?vRS7(}W$Im?A=jjpMh2j>#OQ^(9`3_(bzWs3YJxy?pYQ zy4&$yf*xnO0QIJo(N5tN@28?_hM4ZU{xxyO!_MqDH|G_b;b$M)xl} zAG~_VPAF~ABi!H5td7tN@Uj6uCbO(oi!*{a1-%#QLUgJi;Xtm;Ncq7Cf)U zHLIz+X_b$2ab!yQN}zd_*fgS$8VF-henuy?RqH(ZqL0DNdtxeq63Y6wt9isUP*3c? z3MQZr%+nmFGw0ibb8EdMG+l@SRO{&uyqkR!CY%1VIE=5PLKAt8Ue59HCdzfa7G9T% zgoP8-)Qlh@%R^Eu_kTJG@2A^VIb9CG>Q#djD)~6Bsp+m}J;OVuqyd}pO~!X+e+fz9 z-A<&&E$eB2Vy`#h=`0cj@rV!rRl7TNdzMa{iXfse z?AX>eGU8+TcX}pbuy}3G=wq3j`M7PZo77*A`ipo#fEpUpG4HR5^;IJ5_tQq>rFi;* zTv2@aS0Oc&SIss1Cr(!T(ve8dQ960kt4PGN7<&iR@Q5u?8SRI9=lYbX4#DE{Fn{ng zNqR@=EeR@Gi)zFc1KqY)-w|n%12Zti4cQ-2e!j(EQ=$LVcVzag<#gdfHj@VF9Q^*&#(~k(3jNy|c=d5&m+H2(?rk>jQ7(9BCW; z^$cc|i1Wk_^LvcTp59ux(&MS~(JA9RQ%4Cl>1arkaUz4Ptc7_e5dZ4nrqbBXfU#Vx z_VNQO7HYTz+K0O7a9?eiUXG8F2f!UCH^~p3$0dqwjFLBs+_KL9t6GP#WBDkqIW%wZ zdf#wog%cl3OE1T&-A*t<_}(sJU4(-gyRPtWKvWrzVB5LF;Ia)Cm|CB^p0=#Q;@DL8 zPA1a3|I=T~I_;~~wKk51yC==0zv`GFv;L;JtuT}2}!VgY-8x}LM z#|k8%9)jJo;0wnt4c)M_*#>&!rK^%|r!sNd(&sM%pF+$a32Sa>K!I@mb`}#BPW}`k z2gJq+O!T7Q2@_jqNmhZp_SKmOXoU6~V-2|yacqFaX>B_3ozQjc(B{@SVen2b$Pp2h zRY0CE0kx7o?xdg%#9l1zZ?rb!F|hpp^eBtT%n4QF-(VfyYYeUXl3j0q_6nGP~PqxwCoxRD7(>r9>ywhhF02=x! z+Jq*36&bS>y-_z$1e=$NIwZ1xwpd+1OOfZux&F?#dJa>>v-Z?B|3ZUJ*Ll2uWIw(2 zU?h#GlIZ)R%?xt9Iv)>ol$Y|Se%~>Gy=wPY2I~!pJN(6tn zVdUa@PG0E-w93`Tpd;3h$8L-`?X`9lGRvJxHa=7sGx6$)EZ90EPxWo~mkA*E_HEjC z?i_m^Jd1_jJ7_k|5>-Xj@8u2_@0#bGTM@Pu-$dLaeuWLi(K@=)=2SU;U|L&KbgPZ zf5L!fFtr!D9__0#@S;ExulG>w)iK9c7<9LE1f4;+FDL$dQguMMx}ol~yx!(%76fb~ zwWY$$x?h@ruUaC;-@I?w{kJVo_-snDrp_DluANj$|IIY`I|={dAwf;e_)0>OJk&W` zq%Ss+2TkS+Q7wb-{E=vz@e(p$m--*Yj{v!9)`CK$w;;z~M3?#nsWxr?N~$mVFR!4_ zH%qX~(D?aTE+B2oD2O2LOrjq$pB(wb>}CcM!B^Kq3i?62`~$r;z$=7Hz7zg|9iS)Kw)j!%>@);ZeI)nu19vS}jwNZ{c^~;hj(+?&W~WYe1eOlY z^6#U){Kc_wl8lkS`vMlkwP6I1gEG58J(&A}vN|!iQRselg(^gqP{sXyLGN-sbXU%y z@ZsCEv7Z4pt8}?L7|+q?EYeP0#pw`MCjKs{60Lv?XocUj%^`? z5lP$)#V#*ZA>g8^Kk?w$O{nvyPK2<2hOAlJf#9G2jom#5BH-3CzG#Hi-RXK1KJ#s$JlH^*b&d9wDeVyk9x!DsCeq)NvT=shTVV?j@YWfS4B8w=| zDCC??f)Jg6W5TMoQ@y&Fab;odD;DRAAkzI!!Y%^YAtU<%oe zmz4WVZYE@|1M`Z{-ZQ~$7#Y$w>T5L0d|Kw=J<&Ac1$x|bR0tLsershc*?Ve!zHkd# z4m(pN{y42oP7&P?nbCbDqN<2fJ2UFO*Dr9n0A~g%e2L3aJ)aWX#f{Y$FzD;t^Wg@u zC$Xg$Tgg39S;^|ODPN(5h5vXUmBl9(_~!N8bQ68S4^Lxj3#f?UiAC0<)*EVj9h%uW zn>cj%K($oK((l@V(rQ|)E0WSC^FNJRZ2<<^yVlHP#>)rR6<8_Qyp|F5hY>~Tov5^)cpPDi)AiwAv6LH8hJJAwLIZK)^wMe&}P_1|*yRm&&ZgkP=tG zVJMpEw*oLGdg=^PtKZAr#hRPG1HU7%7t-=gDl>iqYD_S6Uo*;QFA(jatY@73Sy1lq zQiEhB*0LLA6qNj)wYXLx3^YXn)oDJSG7v|;O1em!WH@NMr^DNL5pzYVSov{ z^(s`qt>P0(Xdgp75Quw2dzw%Y&SBB`0AD?eLreYY!&?fqv^Pfcl+!n_>PVb2qFPqy z%b(pOmxGo%fB5~7uE0lxI?wBKogx1giI@LdewgbEPnD$m^lB@))os1`$%u zhK-lHjEKO8r7J$fFP=9R%*nq@p|6HF9!lM<@fkd7kqm)jRX45l9ZOkLg-M!j$&N1H zv4Ms$92U4W(sw}~C33%IlN?{BQzC#2I)aO1^KqeI(%cs-4D`qQxEd&EfGm0#{=8AZ zA8<0|Ji^f-`vt4-bT=ELfx57No()7&4ZdavBiB;O#fo^5hM@F^j`uUiTahYOLdI18 zBh$Un@NdrJ`nss&G@kTvew;p+MVHP^;@ENWm zmvon=A?n+H%kGy>FQ}-|UHVR~umUFhPTbi`A#u@VTj&UORA*`CMssaRL3RjH%!GGm zBY3c;e{48OBiLxJAWuR2Oop+h7nZv15&uMOGP}4UTxQNQNzcBj{&4I&@R9dj<%lf&2gT-)noS4SBM*Bcj<}ckt}| zdR-^By(*$d-GZ?(`m2~nJ%nd8H3L$3`9Irf&|D98M)7J(>FC$dVnE|d`7X}ZwK_*S z!)|q(ao#Eq*h-c7arUyWywrx$MYviSptYS0$|PuZVqV}yUdfjszXwg?%<%DI&ioz_ z7We5_am%MT5ri*IbNEqeIqh$E{SBt()b@{a0>z&bcp;MI9!eN2QS?Ger)iBS#C4KtylVk6rn_eSWc#il)B!;SZFceVr(CbmkSD z<#F}=#-~VI=W3DIP*f}>|8_LdLEmuZpUoV#Ukw?UxytZXi%ER>w*{-+S&eVc=c4Xa z(fZ-kw=v^4YV!CN(s;lN^UyF1x29sjEc6(sfRe{$Ix)$TA`~n#dygk@Vk&vq^jszx zb4E7M#1~V!VuKv_-Y$lkOl$~x~26_t#5c|Vik zf=x;*sEZks@LocZIglk+%AZd-o8lX6nfHvKatp6<-%O=7`Eo+Ocb6sYHgBW7S2}7v zE4N1AW>MO)?+Yp^JcDL1Jj}mW=uU7CSieI$8E#0_Eb9{vSbDKH^n5>P^Qr!4v2t+J zSScg*rm@pwNeV3=suxQ289X6hPeo`^4V&TkepV~? z%(R;BAS%>l307w$YCA!>HhoAfkazn9pterv9I%;&v) zEFaRw{1hOsEHt#N`mxl0q1G_O;Q)~l_(b3#13>(Gk_yV*gaWnVwmxiNp8_RxuP;?_ z@--?ju>xF8F^H{OMp)+%8uT zkNDS!9G_#$_`!giTQX-*hcgjOT%5CgJvCp1Ow?><3!6)`je3M+=$e761t*$}g&s%HJbQ}}-(!pM0X7`<;w9C#X8am> zufUZ^$qs9*_}H*=_AWVP^_vMu)}cDat&OvFY8-mKYbM&SUvvL8#jO)G$`wrS6A~SP zHN4+$0b1vVTd*S43-Ow|Pn%TTKUHAWGY2OSPB;nb9Aa7?a~q>-3#PjgdUq^-SOx z1ou=qJN>F<%#u{v4?t12_n)Hdt@AmMmtiYExnzE?=Qwfau$oK%X~#`<+0UO6VS8!j zrs~)x6A^yw2B{5?82hd77>EK@cOVQzJm=J3?33^LM#d8)lFmpmPTiV5%yz}_a3JKw z5C>a;-sTA~xVi3F3qcdf@RKc<3MAp$5XFvY1~wcw@BF5bsdobgB69TGjP-}5UQsDs zxUb(0sdyvV2bFeIICZ0Zb#F-!QcKelQ5t)j8`>U%oq$+Ng%8`cCK7gpyq;Iltb7M{ z(cW*4yZ-e%LO0ArM&78F-1TE_x=ln1-8QY8Vp)x?pT$3Wzf5X`@?IX%ISZsI$`WVK z=j$#I^Dp_$Ns+?Xt)bZ(bh+F2Dkp9?f|I%L(NiKEbT7#D?2}Xp0f`HU<^?B#;z>al ze&Kwi{K)|c9JDRdkb+qupk!12d$%KZx75>xAgSq;nK4hQnK3Vt_0ezSjo4Qy-LGyd zzQz&hbs0*!@r>@s>5Y@UgPvHg>pV;8as`6BnJpTW zQ?-r>)c7jtuYPpC&7t(`W!bMa;32Is*iom=-{9^3R`zt>Pox9_Z7!@wqw7g1&kiem zxH(YKEPMAB_0zaL^tuXcRG3J*S?o65N<8-_?B7g|FSx2A$txr9se#QXGyTu7N_uZ1 z2{Jp%psdmD%sUP1W=f=57hL)SkD?dzC|ZOl95Ta=DoOJdN!Qh&QmfA^PlTKKy)baF z1z*FIX}RnsAikn6qSNyjvEcU#^~O@NR3~qOhlYK>NSR>mFYv=)iBgo2cVg9Hm!y%g zaGe0t1X}KcC`4U80#$pB99QG;=%YVoEg21N;KeV0X2X~$K=%SolNme7l<0E$FH-}% z<)?ydiyRgDGMcR_U2L&!uvbS8!yp$0oHFc9$odJ&*WbdJt((7%hgq~&i`j$OuRE#6 zqszH~*yY_xeY5}Rsux0`lPHZ-Vs}P?o-znR?ei_rs<`GiOFd%P`YW*{d~_~F;9h#$ zUHTMIGg2Z_A5qK^qWW6=ZIj~%?~u}!I1_Ol=*4HMG!0+x3wJCC#S@SUFo(nifr(RiBUL|7g3(XvWW<} z-1}JaLtRx$jkE4Lw5BsJGQ7<++R{SD#vuf#Q9{s-r0CllOJEFs>^#%F`_|FCr1q7Q zX-tn+<%@BbNqtC&{>#x93{0-0k8>(#GJ@k>5~8xmEB6HN;w7d z$G}Rio7UqzA!|S*k67XY6l9BpsWv~m$LAP1?r&u*fOL@Sr%w@-3wE;2Qt)*T;(6Z~ zUfBF{s~(#5`qajv{t|4W^`T3cEu8Rjr$k~U(aOQjE3#>X%Ztq zZNwi#Z~W!YXDW6cny7R|>(NA^vx7mR8GK*{imLtBLv~UA=!JKPe2TjEL?_KYj2dz~ z5>N5Mme2^buf4J&H#EIsKqqr^c&a^=GEff9S_WvImn^5>8K)HwKbxn_VLc z0ZPg6Hi!Q%6<#kZh&C;YmY6OJ{y zI&INcQFdwzqcPi6Lu1Y;2fa#2@Z;~h@y7s6V6VA*D2#IZx2V@B2+=XeN;oO+vs?Gr6YpDgQ6#qLk?2viu^02nV)jStbO~0`xdGf=kKpj#JGaR2M&O5esFx!Bb&ldG6B)f`5pXjJ|d)x$BDD0O<8=e z(Ei#OrHoE3i1hD%?LQsiwYw!?Iv; zW9d*5h!QG8ii(i{#(i(wlOU~bVw;bZyTJa5(>Y#&xT=7PI_qthgOD27sVOS}c2$wS0mtT_CtGQ%L8I|a z>Va#aH?6=9)0aVDNX*So9lbSi>ye!n9?1+DZdh~MX(o-KA1LZ(`wM&Ah=&_K-3r1R z^`3xz1i4uG$+87XT*ZE;12l;ZpgaY=A~Msz+4lH91Ay>(T&3bK$Gge9mnn~dQI1ef zteg@pjxEJ`^#dr^4u?!G-x5>)Vr#f&fC*!b^a9yGa$O;USPn3hRY^T@8>(`L{4iCY zbe;GPT^QVDFRxBVF_HD<8Fn3S_XoYX^YuQS1gP3}%Ko48$-*e0XZC@q?|T|y{v(M3 zPYnZi)Sf>+-Y>Ojze3E)7b+fIc5|9B|CbIMyI-*3&RS&gmOcsIrqD%ayV^*2qx=Pb zDzf6KmRES$WwTX&0;HsML|yHQsU9!E(D-Fti8goPa7DqZa{vykaXbrtgHkKj)btrR z^A`peU()EPM|ZU`sL~VbM!(ITcKGg|{!JU{dAThp?({orkRPmhj-}iQL0+`f{mCow zixI@mht$O7x~8V$u#<7@96b@>YnYrEz)tep+qHcA@*)5a0w&E%7|%hjG3#qX3S_ zUdu8J7)~cE1r!!iR2--GGa37SUZrh#EzWv@+LRu%a-*l{$irwjt7AxfZ%QDQ`4}#t`wZWR?$~jWlB4i5O4L z6A*v0{(o{?YV!ZKxbvw?k9Cf+57DUe)pZNRRK7Uw&!MEGi^Tyx)4=P;u87Ag^8g;< zy334WP@Gr-zu&0DX`-DEvDb-p_-m0q&71kg2VzU|#n!}=49MC`bKbYx$@Qj?Z8B0 zD^h8NnM6Qy0m1b!S(ziH2DP?+WMm3(S$# zxtn2F_hv$_uMZrszgqzD1HJ-xAaCf*g9XiV$;xL-=A8t%GTqH+pI(BGfz4Z_n>@{M zs@}FIYVtV@`r}=9lYtcEQt1_p=~W1=L0?)aDhmMq&@>${->TO5QN z>bz?{yRbLSl=+2yllLU1g$)}b9qV^FS`$U z8kkz4|5(6@Z9U0O`J4=7dxK%^P6BSC@6S<`KQFC)_cRB5PiH>*UL|??9-*4PdHDN# zmQ*uRdXmI3^4@w=aWc9O$rh;{Bwz> zh(Z*vFY}q+=kQW?@%m^(sS!2{HXyi&K4dQe>d{j zf!-5jX<=9x%_d#WEo9=RqRcb$W^MTuK99$IOPaM^4;K~=rPyJ7_l*^gtrv3BG-lmD z@LKr1dg*OjEjW~Zdm7}GHW4Qe0fl0xvntVZ5j!pr5);Fu`}fzy(s>)r@j#&_)Fe~h z2uq87@?6+X7X_4Hz&FOf;73X|ud|;sf8CIdG7Oh~zE|jzd_ALLyWsG#-L|cjsk^tA zOBut%c>uU)|JH=5wwbj=i1uKEZsVYrQ-H~h3W~L!hd7`b8k6=x$R`YA-_{h`zqF&d z-Tph)?tRnh&Sr;n>cHLM@7R2N$ff-hCO!0V&-96 zBtm5E87CqM0n`VxSlwbl%XIScZgmEt|#$1`E+MJA?;><@9P2Oj+4`*8R&R%-sR zzXNxP++7Tvf)rwvYz&BrJ^`~>6t;<$Uvf*lT8v|>%Bo-!Prr zS{dM~wbl%YJvRod#2qBeFFQ&U!12ky^y2jGX-Nc{#uW2OI}{Y4RochrZj(d~88Qi+5 zi92ELdwp%?yymX`X^gIEnMj-adD@w&s-^|-W6ogXbEYfj* zn-sCAjAX=Y{c+rc5F&JD5M8^~Km$3=kvHF)ojxY_DDT4p_vVNHkx8`UGCPQ!bCoEW zb!_3A`EJM@>+SaeD^j*3d=j(08D<+KLLxq6!A_x<+GfB3dHmaB=MZ|@j4;gno3LVp znP^$OGOTjeA#`TomN?bLq{z|kmfA9*Nb>FO{M+^nEs2g>B_4EwuN>DImguGb0SFM~ z6cy77sgv1@?a@H7y#IG&x4zi`NLztoI|l;El1I$SUu!F&h2OED(QdFGYa^kx(vuX0 z3C!^H&^7k>>-Eq&)U6j-pfu~v*smSvdDuYZRukS|B3`ASpK$cBlh9{7-<$pu=BFqK zdQ5+WlNGj~WmPW^s<6MQ#`}*c(BD?pWFdF|HQ?L(U6xoRfZp)#;SGDJRfiyaxlE9k z31P(mNEnlU?VnIt09A@J{&?Q90YY-pazX-tiEOR;Quo$bvV?Z+35QWT$NN4_XtUkJ z=3z6^adT9JJk)HRf{Rpybu|JQEu6GXy>Xewq+ePcEet7Rm2l*1?h^g19B9PyeD3-A`u@+;&=X*C2SIpdXB-l__)c^NY9Y8DL~2 z!*GSw5gs3wcZ&Dwyc6-$<{CYs5=--Df8|ipTQ64TeaKRIP_eu(6+M>HyTgH=o7?ozv$C4eXC#JgOKpn+RGSojC3 z);F!&=0ceHH+r|aohbho5%E*T(kr7$mboM0+kVQEAL0+0oX3apf|ieUWNpKU(!C?M zLHKtjF-$sedUY3iO170iyWE~z779Q~vc~OHk@{j)HT&8i#_C+;sQ>@txm+pxwS73Z z)^TnLEl#znL|acbu8a~5+y)R3kOf+aY6|n&37=9XJrW|9xQg30<3TvJZgM2syzRc-fyaK=&o}`@sSv4}N z{lIY3P+_fg1EEp%6_;AJ7GE1f@1(jtkXQjc9?-AK3aP!#MT8J>5>3VcLai4UqCe7$ zl+&9h@}XSI=r4)M+xb`&uh61odL|6H-lHH^!>J%c+|^g=yl>h76a+ZLYjF$(0cKOA zHVg&rKXSIgxA8DWj8c{E(8E4Ne%{*9%zs%;x@^59`1`$1Rj@!RYwr=^6J^d5 zs+<-R3orML|1oK+et;M_xMZah!gf43{=XoWE9U9T8w0u$NM=rHtgp75aBeeFsuIP{ zTlTXG3c)Y&+wuiIb~NowS*Zd9iDM^2a=%?5PU(FMiM+U zZTi01Wh)6DjotdQG|%TT!6#2J(`EhL7aZ_77 zuL*M?4YF3`XgX7a=$qc6@Y*;&cLIuLlDjbKV5(}ND;ZjA3hSF4>)%(dGPUMRZqVzAofy1tbtd*^ct_S~q7De=2{n~W)2mjV8T06+hNqVi4SUk;%Xf~m70gAnwb zKqFbHn4be1jvmv8_Ta%K7*xtdJdhuKK*g+TBx1;Uc%!06IS*$)a|=_CoR6XOr+99X zRpChAQ_w6nq1Dw4B~R}mfWG=$oc5I3Usj)H6f0v9c0tq)0Rk=HIm5F!K_+~6H?=uP zuYyPF(dBEv01+8e^5LiEi?zT1lLwr)Dx9X88s>`ZEb*(cLUKcG{A~*%1$-^7vqX0Z zd7Jg9j~DY&Zi&btQMBguc5<_64Y>1Qv2~@4;wT*8OPhH$>Coq1#ia%K*n50-zD>q^;%Ck<96r;655hdgf-D z8p4&oh%5fXhwdPaY`q!tk4?nin&K8q+kJ?K&Au9??Z3bzt1xveHO%thT<2{dulW~f z#e1tz$-3QmeJ$((qj+~(C1=+F8M}?m0D9PQ01DXd3;FdnVH&b_!y;bGicVVT_X%6KfL=M90BN#%`( zM7>Xl{n_94RNZUQq3`B3#g|8=o!8tgg{A$?90bEh z9of1$^#H<_!;@zFtw7c_n?_#$zSK_!*x&RVgQp7Aqk=WsQJtk@fPR&tD6)C#Y`^g9Pq*L@Xw3&JJ8gM!E%p+Fh;OiO3aV#2Zrtr679D0q#zlN z>pwgxe5BksYPDW%YikFG`ubGc zUYAyDeZ5+zidgK`%2QF%VsSXcUQrQjwHFZ;#exc=5N06(^ZdchF@XdUL=E!&tmRre zIXnC8Bp%K$dsN%$S6Q~cT`Pt(o`Z<9FPPCF6c`Tj&>~RKr~m)}07*qoM6N<$f@~ delta 36296 zcmagGby!u=*Dkt2T96JwQc6lXq)R%byStG_HVT4tceiwROG$%>bW69i)S27w_ucQD zd(ZP+|8eiN*P3h2F~%I@9q$;E+&}Q~f8eA2;6BDc37|ej{JV&$4(@?L{fK7R+Ga#j z%AMis-@^m=H)akmNPjw~KTlGT!ge!w$#PACZ2wj{-yB~wzttK+r(2Py-Tc^2U&f}g z_2Hq(&9Nj_c27+;K}|jLYJWQVD19+KKek0F<4j=OxX?P4A`nXqrI_NItdc+YKxxK} zri?-v826S?5NcgOryS8gkjE&9sEQziqilFA&if+RSb5{O4Gju^bG(LWRvNf5|j5fPbUA!tn5lz|V3kB=l z!zS(*I`!*zb^{L!e#BSc-Vz){dM?^bHEg94MnMeNDrD%9Kf{)TAFQD)t*y+0P8k?o zkPZ19|6=nSxUS8B_P<^Jp9x6!VId^OwbuM}2BTt>5F*m&Q_XrYc0zA@7F!r-}}OAnNsGd?Ht91G67e74wsTDN?CxsXf)u~ft8MT%Vp>w*XkNe9l5 z2PTAx`_$y&O#R21jhzI7YPq@B4n}P$LN=9nWDB`qqrOS$VjNJUD%d$`q48Y8N!=H) zs<_G(+6huNLJUYMBuNg>X9I6G?ZG|}X8+g`^YzRx2}*5bDuwb&Jvf&bMM{+@OLmQL z{KbHH>#ft|Zn@{w&Hlt3&i7^(M^=lXvT-=3_OZYZmncAxr11s*QwIG^s?&(2~qH1)BiQLqZswGyuF;w5)E&Hwe5@57V8 zMWb>?gibjlisL$mkLpx^m%@3Ty4QyC*GxJWqGA?}0LP-;HLHe`+f`Ma_l!lxUk--? z1wEuL$V^9ys(>n0nT-=$N_O&(-%>c-LJKjNus!ebPYa+_vd12X0NHc?hWhnpFst6D z0la=x>%JrNw8Dxj6JH`}h2Ny!?d(1kpF)Qs__FBLfB3Mx+GSu3*VR6xdhlz~L`aG` zjv5XF!%tqZKgas%<4D|)21b;*tE*E%QPrM`e+|m;^K7e@kDjvPys_UVJYQ5klV981 zpkpI_m(ErmA*AQ)&8WCig@o+g^Mw}gYYSW>(|YrhyyPLWh1I^BqIx4!9~9;Yp+NSJ z&`*UVUwSR!BTtK|`)T8dGGtAd(nYAd8{4O_-sjcw`FqNKwoWw)@7_;j6-wzHlt%Lo zajePhn$SD$`}+&h;Ks9_KB~Z{%k!x#9kThOmOs1Xjr>&aWDW}1Z4bmifb-eQ@k)rP zzZAiwnj_*n(X6Kq+Wr(MSkD9K+0UaSySclnyzEJdo*?vhAs~G;m(9`Mit3_3LmyC- z$o~39zyY9b98}M2nOu1BII>V^J-TM}SnG_42oFse_eIieuy6oF z*X5?8aMO)9c(D2@_$3+kl*h}UGHgjqN%GV9lBngpRcyA+_ON84(IEewljUI z9G2c}-}Ad4bT!y7oXm~;5frPTt=w(#K%KWUJXjX~Yb@p!4|?PR1aBW7=LP%5wJ^gw zDmC@b^r6F-&BtwLidLye{X`w75sts_qGy*ME*m#~zEeVk2;BURlP*vl<`xEmDQF}< z;;;KuBO!bKAg%d(SguWjCPO&>d(;$Szv5oEcNvqG5!#47H%YKFKiR+?M z4@T2k5J_k%A#j94wK_*oe!Og^n1#ds2%hCHSDladTCMK(ljP8oRZ-uQ0P^0|Rim-a z;2vXvt3_AOqvq|C9`Xk)k7X~qG2V@EK62aPNE3{nuIp>w^;2FQUEQ^-+px@kW7p{% z!G@mP7P{g?`L?d=6-mk;l;+s+yjlyrhH1mz(T9Yk{ah8w$<0mm;@QR^T~;qlvpG4G zi!Q^=z@jV_Y0uYsg5e-FOnC(bh`6}8*S{J&J_nQg5lu}^K_Du4&fSQFt6)B?W5SPj z1<-Ebt2KVwG#@Mb*GPojQ^NTx`L5%B=`%q=3IHPWW3_yJ{6p?_9|q5&zpg_wBAAHB zBGeiAsQt=d`~Ka#cMyLO3jh1ttBr;Q2iJ$u!u>awM@wPAdY)z7{iZuzzUuIpJfjK3 zs`;Za{2{o+Q{#K4pwGz=VvZyDJ zAG@3mt%uz5N=h60$KHhQhx4D44E>%f2}AEWh3s4^w(s^xwbU5RKaOU%xbfdI>&6FzYs~Ru7Opi6&Xw%A*fG zbEn5+`0I)d0Eff0`$`UTCca6Q3gkB}#ir}|j*9P9>q=h$rqGw=WrOXNalY*r+lPb( zp2pp_v-SIsiMcuLMKe?Y1lny{kLiH2#SDOZ;dgwz9uN+)PCbik->+yriE#9Nl6Bon z=W==KelWWh7mv;cz2DP3i}X3^Mm|01!F&SI(a~|bnAYS!#+AfwT=r&!P!NQzZIC}U zz01oy%=9_x2I_@CG!49Hz@4%;1u%dF59V83{370rJtXV?z!J9goUc!e!L|()qqJLS zz<{0-LO9<&jXm|dSRM_n5HHnEiLUyFRs#R zQs*6w{1k#II!u$R?yasBuEWfYtHni`-+->GEyv03HVq$W9GW)??3P;aC#~=>g{~>c zymu%eBBrJL7@D|(aU0O0wo4wRenwER>p21swweZijB@9w(Iw83#D654vy^3=`E z%{*h+bzCsmqw{tN;=ka~iUD)MtjDv$cWanU_m>N7LPA2vL|Nm((1&ekzwYv%#I|Fl z0@drEMM9sY$h^#!ZQpx%Y%HuiaC18@kKCxk7s)AJT{M#~WcQN5`xyVzMY?nD4FzuI=t_TX-Psb;p;G z5LAQ!QP|DE)%AcqE>c8{3nrF&tEfpz+wQPLYWHcN^6~UA2UU|G< zF$IPV@ptq)OY=NSTWOH>%V)DLmJ_?g!B1Gxwa! zHt-mVwl)~v=Vmj>bfx11#J}>xq3!jLq>lJAKm8fkz4prHtyG#1Li#*d&&JDdX%hf) zCMLN@3Ep50FHvgNso!xfBb`3c;^slt^hV<=x#_5#JvIj~gGJ!ew3R!g+snhACzt~M zxO9rEFkAES;YUKkM{*h$yjmTHK5#%*Nsm2|mrsIt%Hn=vQV`!CL&;(4$BuZr-PYOM z{2b=-obNAYUdKJdqKCeeip(x5LJpCjI=-a?HVd}T29V7_p+Z{X-3@gy?GFzPL=`-j z2c;5R!N~dmvf(~$`>TvpEm5z%;-ZtuC_g+9ZzCciuD?qOeHwn<`QqZ@f{2W)AGXVn zKOFlg;~|18*AG{nQ5<8urjuFY4sh}yzB2_+1G|F$g_zsfp=;{9;p2oL5EB!_@IaYi zr{5SXwm*aIT{U${DJf(!uir6z+fPq^xIKxHb}4>GH!OjN7${~SK_#=}ZO%d$_wBzW z$El{VeQ48h%yj9aeW5GR3D8ZteMS^O7+wLmkfxJwPo2+3c{Zek|6&IPLxW*LwUC(> zNN91C-74Bg5_I75CmWa-jWT!EShyYyQXNWPQ@#=WRu;LYP za+GEvB|;*DilG=tgkyMPN9<{pKZ1b~P$uN;J&6ZFfBW#^;Q?_VGBWaw_Ti!+oK!ykt-M}E7DmyZIR!E&pE2-Z zuITt{Q&(4K1O$yKe8&nx6yg-;+NtMB!E5LT)L69(!#4mkFa=rXLODaV#3Z}uOh4FS zePh@sRh290zzjV+9Uvbl627;f9<0ed5E%RYC2Z?vkO`W`gIatwDg#aXXX{ zxT<5PyKCp(4QH^+(_MyMH67FpJ54F@bRSoiZSezfBo-F&g!_;Q2FB-hAIDI7AzGz= z>^|i^@;b+IXto*7{e)LjV?!$f=ilG|_8+uC2JR>!6AdiN+$fpW{qRs+c2b$#iT`j_ zzXnAchZX-_m8~Or!+S0@=!LtIf}I;)@m?G(@RS+c=c$0npZNUdvz%t_U%iqhLZzD! z)>&$={1$`vBedhkl$HiwHq0;TR0pEz^K1+5YQ`e$w1jAh>2IYZBpN3ZWmSyTdJ=@e z!;)Tg#??5=P`hO_T?Gz`P;|Jgwh@k(a*}Ycxs}v+a6!K`yd__Mg;5)(sxT!XP>@qT z8GKQmpq?O(mInd(t@Jbw5ln*J8#rwE?*QgUp9;*~OAdW?(j=khqoS!!_r2mj^Rdxw zC2<~B*PWOy82dZ-4^1nadsFv|3+89z#3!L{N$`{$JJrZ^|ghEGC_h3!bYn6Kpp=m|qBvae{Ag5W{;u zPyC_jGMB~f&_Qo^7h9|Z%l;H-E&o4S>pmq~tofqch1kes;v^6WQ)K4yiL6o#mg;91 z6Tp;eoH|?Ii1|uV{6iN8G>J*f2%SY+;zQTx_*|GV5fwK7ct;bc_8dkZg#7}EwlptX zrxa3Jg5x)$fR&fV)afFRR_{MsNTU@0lLY~DqH@kYE%mF%cOlfMz!0kgTY%UD)%gF7 zKyWgMC5fcK@u$OZ3jGU}co*I4vk?GsB7w%f=R(UJF>-+xJY@s;7{_}#6?)$hgY{{x z5bNbUkF~K#ruCMh^4y%2IggZ}PqI$PVK)U&p@y%`hqXA3=LG}f0#*}E4VP*`k@;iQ zIRqw|yw*~uw8ej!-H9!lEdi97Iqkj47q%p~#>Pqrz=c05g=EZn$0c>W_r-PIO z6O%Qv^>_)4RGCh@#;jIu=5UV{$R-g1Walv9GwWlVpQ&%aBp4sqMbxq&2AC1m&Cpl+ zMOlsWZ*>L0&S5}GsK6ybr2o&yamRXlD;0m3zc5kWeN+9PkFy2)WJzC&li?+&jgwhu z@ze*@e0Haoqp?I|_PF*L=P0>ED@7vSY7tpNZw=jvw!+!EB`AxbU+OS2hFsURAYap7h!y3Odr@&rVPm6cVO&&sVqy3bMb z1Sdw6z#kNM=+R<`7E=(+%{M(h+*Vsp72;>I!2zbf>@z+=e! zzsg;gJ52|k!H^vc@5RU#oQyj9;erfkTUH?n=BN>WO2i&ycr2qTOmz|U@PPa5 zgK69zR#qXQNKb)CfW5Ep9}<$uV5=j51)827ZDa_Ls78Suk za_QG$Xbofx#_7<98%92T@a{mTuYalMii=-CL@2Pj9`0|QL9|&1KE4A4H=(SlUog_2dcJ@}D;B}BXk%}0;$!cb){{t&wkOd2nMx_%7yUh$ z!r}bKZMY#4@P-e6k|uxs3W7mqnJmrN5}^iNE(w+IH^Rk==e)n3c{348#Rsap9m7aU zM!}GRru9%pR#w*4yL-cjO+%-R2%fR$jnGHGy9>idE&u~;Z5hd+cg{^qN0J{Dr#QQb zbkEa)(~dR?PY;K_EZ^I)d0Kw1mZ$*qV3ve-JX`(J(Fq>1o$mT<`LdyLZQ19zZ)biuii(N$iZIz~rOEKKyz8h|{>}^0dKWDb$KH z6q(!?3sdkM3kt~wSOvC`G(G$OO-p*3$ELPG^_B15yR2_7qXgKGlaG!Zd~X+4`nN{Y zlFpmoFNyF9cq9a=(aPXVOso$4HuF_a*qJ53SISwTX!de76ynzP^6bQOiD{LwF{NVKb4&|C$2n zb3g4P+*l8LZLn(%+k0lHB|xv!?2gnn^~<^|`?l2u@tdk?2am z8zo?at;rla#~*Ndy{n!tV3!2j*AgTosUUji5z#MseZjR7ukQ@OeD^e0uuF$HO z>|`~7C*ku}jFQrlfYQbiL)#&bFriNOUwIiYI>cif4qy-~j$$^Hvqg-9I{#AHUn~xV z)C~SIH_m~S0Q!0_*N;9h9t-&W=updK+Q_Ugt9=2cfMuR`Ny{t1!+@(qkCFrPP2aL&tahPf z4LWMTnt^KBgeiSrhXt2n>DshBRQLc2v(&s0_(BsjfW>+eD}qAXcHimxiX{fQfPjc! zoSK%W0{aS+vb1E$uPv*e1X*%*o`%_fyf0N^S*~-2YdjxHnPG;wEg z!*yV^UOcrNN-^qBiiqfWF#rVfX_W&w#cZC!w3RA?@dKrp83r(I;JKt<<~IP<{+~Dh zwvTYs@U!(5llJ>}+gn9jUv(+!LW*(?_kUM^5`n^q>btL^#FX_PVFDe^L9z~16P{m> zvm>Mfu^Jn?7XS>u)ZaMuXIrEiK1_`H{TJs!Fspm}4RxmlRmIH8_8f+2zTOKLYt{9M zqfl~{{r|za=r))PqKVD_H^|*X6NW_;AV;7=?nGIz14DU1))iFeYN#ooL@cQx3>+SFhPl4+J=$+IZAlF?q6kxneFq!vPymyrO zWf~h1%#;b0)Nn(9S8#>+Q_C~~`VB_XotXYA*A0eoPO)Z(?1F#3zbr^bqcoS~ zX_yz;Yz$QEh((|WQHA6Mk*Q}7$+CY%1q3zc_Z`kegXUg zUYzqwB4pu5UvzZz)wt-FgwS!pMlcIA?TLtT_gOGt^pI*Sb7o`PCNrdr)(%EsZVzfbFXt>z z8yed&ptp_Cuqh>BLCf@#5>LR?oKA>iu5AlH^8MJYtMzsngwiC%n=pWg$+pu*D@G8N za(0pb`p5Y>C#*66=q{e3j|m?Lq6RiZ-(&2@D(*0 zSAfNX0*;)nqG=s1xp4QcIv_!f0kMZQ9g6G^xIIFCkE61ZRS?(Es>f}KUqp2?hoKT6!coxCTRS-PbIs@l0Gi{=7(gScipG)B)SqTLA1-EV%%2KDA5No^E?^{X#*D;}dHsEF`~l~Non@vM?U=xs zJPaQuXJ!Uf?0+pS4H({J7${1g0fvQG6!QY)BD!qbTq+k>lxK``{;>*ped#qD!2EYw zI+zyTC<&Y*kolf;*Fed{P^$U1xxBW8D__O@0CHBX!zl>Yh=_GKg+RN+F$DuX+V}OZ zhcr84ukK;AhtqCB(t1CMV=v$mHTIN_QG$D}7q^8p8}@Oh~qHiF6%U?urB zU~DaHsMph+5C{-r<>~jAQ6g9fi_Qb2H0|6V!wm#uY}O39d&=Tw3taqs=Lxv8E~0?( z?H(AVx(4G`maAcG+38MR)H?L2_4uu;D+j0)ez;oNP9LmQgVjj3p%0djE}!Kyvh)v^ zb2QB?l=B}^D9(6wYK{SH?0%3?(WUs<#)}xMF zhr4ORd;ItM1LJ;|9O>=FNHuR1sM%x z1HT({)_x}dC-Lh|s?CQ9^Z>MERlpqw1)A9HQ&3QYhbb39w2QFwS`t8X8pAj&)wIOC z6k=dR-`5kUMXJvf6!{P9a)sSN@&&2-oe()WsdBg9`M?OVwGCF3q757gPA!hHF@sjr zXxP)ttz%1KrxuE;hgI&+aE_*asjDl7N%V^Z)edkafWMoh(GLrzPG}QLiw~hk<9no= zE{>1dIK{;d55h(9G)MWiXki0a893<#4?@13Rgr~F!Q0Nbu$L&`N?NYssYP}V4thbx zS?##ekt_U5F;ZW4qXD*EpfFAxHzG^41>VDhvnzu-jkS1#CdR|eMu#WK||&a`47o8O+k?u~gV1@rp?_vcehzhmW^ zgpT?M4SSE4TDysQE)N$7FPejcgHH=ye?Wye!3qOyXJfk1pKhVXM6^^f5_7_suP{{b zu+Y4)L#T816TDm)UX|rX<>iPQiO5c_#%^C4sjBVYv%Z&C{4uy$pn=gDmq3I9I8k{; zmSbnOf+|2B%fQDswjbKVq7Ho5UhtpI*U;yhdd_{H$ZKKMhn2@$sBtPSP#lORTIbtb z3b^Wz*HMpOKsF8V`l8?MVOYvTuG${7>u`+z-0N!| z{b?donlcYA+>gX#-zySG&5WvF+%w4d*SPI#v|W@t_Qg5BB7yR|qmK)mp~I{xxe&FV z=wD(6_~zGt&mImego(~W`c@IfJZR-6zRI}Mrm`7>~9Ypc(+72kbNd<=cO&G0wAe3e-{mvsp$gwQ_V66?QG&nW@w z-*fdNa%dKlKjw!W@#~Xd;kK_)({4}JSeb7%p8iip(*9QqtrdYMMPn_I#vhLLV_iwl zexgSHoE9J1K;|+l+5A*kP6#jOXdpFPnf;%Q7Sbhk@<8<(o9hfahl;X1l(&lglRUhi zBS@!{>e`_|AA>(WE;;bPHY2EEW_6`<*`{k;p50s9*nETefjh9xw__PWB2i$PwAvqw zhBw-4#u?#69WiJ{9BM(4sAgM&FyqbES4M$ewi?DLrZHs0$iXs)Cd&=n99ZMpoMl!Y z;9e9n1psk@1?m^TPo)D|W478<6j`t058W;LvuEp|@{9}t5!JC<6S!BfTQ!tR2@nQSsaq$@;KN!C{RUdAE9BTubLoa<~Zx!sIcOHw~)nD>9;9Hb#} z$^=t4=InTfuwX3JH=Dd&k(!*vI@4};NAAd`=?8gJy$L|-sTIASXNiw(hUpnS- z{}bJQv8c*Se(UU?{|wiY+|87aeXJ?dJYD~Ex+fdrq1 z?yp9q>IxeF4&1mgCP_G_I6P)CC@5axT^t9NxdYzS_c-Ut7uuic6c5Usp=%+$4@WKb zW1}U>ZC_k8a{vR|%dBbd>`+x=v1G)b_C&6wTSN6?MB4Yh@P#H00$q|g2fF+K{(m<;|q)rcSs`nB8*!?Yy z#`uX}L>mJ$%1dazPC`EB5ZKK=ZJ_=FYX%9m%=*xPmqeYvM@o_z9Z(e(TSLi=b?i@iq-A~PKEvqp)7Q`)|a zSqT3qiIkQX)tR20I~X6-tFYJD5&vc)Jo?s*IM>p0O4yi4xvT6ZRFeDO&YB z-PMP|e0j5u_!DalyM`{CEC|!SLgcZ7`EH_buA{IZUH$cxU*H3bla1iF?BQVpqXu7HouCksT{b!Ef{G{Pb>{giPq7K#g7Mge9Y?>7I9y($VgA`+dMV4k0Ylo zJF^WRky#G17UL=V)LpOO_kMFwyy}ccO^Y`i48d6fPi3vUD zX?H%0bx;G7d)05kU&B%;wsReV5*gM1U+J~v%IdK8H~H^2-6J@5Hur$kMS=*NbUpFh zO0n!>4-U7VuS2z+sgR_{`$RwX;m=SCis^MDfae8@=Gr?gADwtXxrHKK1NztM>i_O) z&z8RqO@FNWIm0E7Yxp?lhaNcqGELEGbfO?sQ6ohed&^pKa-Um1Ih%t9SaREgN<>S+ znq4nToT)-Lcc<~!BUZ}Q)!e>2B0YTLklYJ!|-J*rMh(En(X>*MqFai6*x_&n23OI|0kC}jfMNm>P;q7gV7s{H|PZ;BKfkT zPf2*b!N8?O=%?s{de^+;Bwe$9A{15kmE_*!6Uy@OppA{^+ahvYc1@Wib{OSqTiH$k z>w&29I5x0K<)(YiO%}DW7EIm`Bc@@EK|A~VjGK7h(R3OlMi^AaxKH{xrT6VnyIAG7 z^(ZK(kVK3|_%Oe-%D->GTWS0{`|G05SLqM80EbN_bWOWjn9l4%$6gqY=Be`K!CU~W z_uS2*bbUB3R(6pFNgQoY9sX08zP4m0#cT zBXqr!F0hOMAXYx07$Hz>2kl#sfBk45F?}J9AO~J`X?E!^RDA{OD7!xL=nMmty(u6p z8<*Tk091eYG`c9gnHw6`?DB_$y%aUoK?DbJ8$EUI=6M^bblBVjaE|C7*~(D8SV=Xr zEfBeCsI$k8-|BD?WZ0z&Lbtn5o6fkl_ETGu(-QzO!E63O(14dSQeqyoqpou4rczEz zvn<%iBhiM{c^j<2(Ho~YGZ8#7{a1H~wN8wZ*m(+&>A8+_H30{Ex`qiQQWCttGx%_! ze)lJ-vsZWJ?=MyP;4+AJY{sy`W^!a9w%k@j3#JsLQ!|JOit4q{l~vP0cKa-x>V-@W z+wbm6`*J>>-zLwNTs3sV<k$X=J$T8$8*EIlix~SXJ{e*76Suoeiv| z4%+J24|bWIj;Isl#Q&!G4)Svhh?TW9hK6Pv;GC-fKfo9m znVe+{D%H>$dJ6Xa7i17td5TnJ%CK+g)Z@TkbX1>3H9dL^oTL#3IXxanu95IR^3nwd zUrn@Ml#3#?v(x5T)0aH^2$$PM!78FsZXcJeY4E$KuNtxm<0=EwWPG-lXa^4 z)K=ziDPUM2N!!)(?q-{+ey?btc!{BH1OkwM7ZK8csh8t-z{j3eH)aK3wqM9EdLL@| z?vz`un>q?x9u0|EJpIn_x;w<-rgS2LE54Tp1p0xsepCp`&xFuI#o&IR;d;A-2`+T`SdO(Md4K5K?wI)ebz6asS1W`?cF87p4Wo1& z+v|a`wp6L_XDVoqJc(G&=xDgknru~iicyrhdN?Vf@s%`su+!HT52pbWWbjl zk`NIb1ijY0r@39}@B9w$Fx7b|(a>j(c3g&n0}L2vzOkMma|T%_pdz>Tsf#7lrs&MM zMzOCT+ZGLvsIjGSJXO(#uF!#CW3#dssw`X6=L#4-(3WXkYC@SJzYeIB{w0qU44GJE zO-*E(SgeS*G1Al!Ev2S#HmlU2C=k1!8f38rJwbjJZ&G50Pj5NZWGaqbYTnlM$3PdW ztSuINv$Lw~Nqc<&4>_2h3YO3bu+~E408R9^9`E^%k^QrwD~MTAVt@wbkVmoG8vH(= zYjWa6jd0&QipkZZRb`3B8b_{1?}+q0>oz8%mYx49Pp?@D5Z@AU48WaOhDnVJh_;$x z3q=K5sk)I3^lkM_tR)7j6#^DjTwEOVtNI~+EnxtK-9LVM9d8u_nbi5x`cp1H3=2K; z9P`)SfI{BagQTG^>SJ{ZOXt*1?|6hKTQm9QcfldWBMeXTui7hE+IU9r ze1q+B*6^D4sP$%UI`)ktU}}VVPNJ_^#HD58p|u>_{gH3Jd~)l`jHVNtRIqh3HBZ%%{%hj$3<>ukevAy*dXw_-~PsMXa}d5UN#62nRRk8=iZq%>AD6EFq*N zR?4~h5n3!I>+74T0Z13B>K1jB>=|9ud^0%^STZdI>IkZzYG`C#320Gr8WglgE7u!= z`n_1HL6O1B-bIqfRaO_=c4oRf->^~oN|XN!@J=_651o&dcuAD`)S>Mv_<60&U+PEU z&ZFMu>;=^)#G<0t$#+c8Z$VlXK5=|dh(&wj|2kF_Y5_m`XlK*f0j? z9(pERTgKTTvGl9pdzI=wC~oG4@QoseG&MmXE)*YYRVeE;{+1RKBX={eiH&(ZqSmDJ)8-{Gu3*d-@U; z9h_kKfc)0g#RWoDK$f2UYJ;tH+4+Ad+?qNvSu~^JPWMhzli2DP5C+V zd2poSW#Z3hRkz;QRH%C4{REt)?=pg(=^Db~rWL%V;`A@0$Y>XaK{PbV1Pjo|!XjAo z1QUp6a5p}VW8F=z={!A>hIz>mB&=yHT0C*rHu}V%357?$YOL9vvw{MU4@6t?aSdgU z98(fh1(d0~wy_JyG*|Tj(c1Xcx7o7_tADn-%^sFG%PpYJlvz((9H@#*i89<+qOssW zW{yqG6dXQVhCi zd0k6X=6L_sWLl@%^4_(?cua9L9rIHLa6*U{6vs|y&z?v#djC4amu7rJ=Hmy^FYlHV z-n|09Kz}|Mqrg|u{&sHg1X*FxB_{t&B<*y{DmCV9;fv8SGrTEenpV_B-@z7l+$Mje zpxj;Q!VA70bll|7(vucRx}=w>Y8-+FWz*01|6I~lKYPw8KUJLls?fy7J*DBE4IMJ9 zCIVzmGG8u0#=lCG`sK-|@6*`Hji`DB=@jxeP}aZ^NnL^bt^dy9x9~gY(W1@aa_O~@ zulrzG{7!D-c&#Qn@h38H0OyYExnE^?P&R+jK(xz2t$Vs=M}7^0ukA1U zwh8fSO<23UKKP_BA%A9L`3bibQmLP! zMZ^vljW3--%YLt2Rt~L+UP-9Mi5Wjg_>#_k*oG^5)Wlw#-^0wvMINMtV{ zv&HP?9oZn73A57{pJul^=C83F~f2*0;JFM+l&1Kc!c~FN_nW1x_{>FriY!T=Hcj4E zL+-Zhj-XOE^{nJ!l+b-G^yx3=S((H}%3MJfA2QGxr;NklMdzQpd(z~x-K{(S6i>6T z{RP9C)3EGtFqAUEHi0>N0u8NLkYpx^0!>5AdRZ@0zVvT|ZJ01uLo$BAS!06;{Rs&z zO4p69ZhGfJ<=#v^0_crYn+8>2tr?u;EA@72l&0%&cRi0&Bt74^x9Qwh`sqBk2hJR& zPvPiOKWfPaPr(l%Va+H>g^>`<>sq%asUI<-1}MYefArs>Qq<5Jfip4hoK^QUFWlgG z%qEA_Q=nw%Zg5xWP#%sCx(9D|Z!}CpQ_g-Jy}esbaZz9!HS21EcRAoH*BNmhUKGx# zzOwN)d*p#QRPei#5b5ZHm#dIni}f3Ifv&sq)3f>=!;$nxcb@h5iwi_dK0W3kw^b_2 z>2PqYG44Qf7dW!M6Nwisa9`jjVz$qr21d>bHE5)5mRF+M(x5TG?n> zYto^NBB)Yj44HG~r&B2eXP>%OV*~j{XF??v2Ddba5;#bEC`Py8v!LwKug>msrL@G!>GI;!=taimOsFV-HzkwW#~vPvQ{f~h zDN)cb;0Q^7NTE2FjbRvyv4`5na{097?nxJL(U%BW`U=!LU1{iEHkn{9Zy1m1I%Yui zy6AdX6#|QMBTwEF2U(B3^4a9u0b|SL`d1Iaj?5(|EAlzY!RHm4 z1!6(!K8a~Gn_x!N4(xyWI0>V(we~AU<{waQEHnrac$tN^`dH5xD1F>=#*ROgq)A(9 z5boWv7jD=rPk$C$5PdhvIdk=mY-SF}-&iYRg?e(RmW{)f9v)hY6TFo;44T+uve;e>U>Tw4h^K9j9hs5zMa9I~r6 zRt(y4^6^MROL~qIuule0e8fSQsQx(g6VelkP>y@88co9fB30K04PP%8VNdvg{%B1%*_6Eeri3v$G8TG9Nc@GooKHfTD5kO0(7koA(5uH{nOA+2`6hV%E>=-N?Jp20o4OMZnKP$5?4 zdUA%pO+=e*g9N@|5dn{bQuWDy#3anM1FGOIOyJ{2S-z+ENZ`Y5tsY!R0t&*lEnOr; zb}PR^eX@ANJ!OZ>zKo1KsrrOvxMd{jLnbgSRUN4F{uyTNaJ%u9R<(wumc?`Pt&!iG zJ`618V(gUp@4*S%pZV!}&yv0bWs^9}Eb2u9-R+Y{h`w@Sugcv6JxP4`TD}gb&>++u zB$tO{S2^(g&R`Ht@javWWJHQEE1Y0$%j%V^YeRrM#JX?qQgu7YRk3SSNK1K2q39;n zI(5Q=lnG^|%*70ujhnxzMw9Q4`W^LDs;l>(gBO{essXwL-Rz|_B@QCPcZSpDPq3G2 zzIdwY{>6j~h9&q9wf9Z?4@uC|dwoIJhtrF!LqoL+Ov=rEA3Mo%&_DDueXep3j-o(| zXT*14hH$FnesXIhG9Ap`~PVj}BvMcSJ!K z%^Wh78!7pkqpU6rexQTwQ`gpqTrP#ubUs7)BT$-b^K?QVQ2MRZ#jL@H6N^e&APx)M zBNccmwX$L6GXCR&JV^nKGQS4pE2G5}->L!%+e7$0q$KgtqQvIc?c;qw<>xM<^^j&# z^Ro~-Jl1~p!9wUS_vn{#PxEY$1S%E}vokwhT`y8Ww$8cWC)a*B8arr>yTsQ7JZ zR}K`CztE}$-mw&|4+Nri&y^Ubgpvc^?l-~Z**p$`2zn3v5_i2QJ*y&6?M(XF4^r9Grq*pjQ;h$NR7|30-C}= zEjg88yAaZ~C4elDhLkR`YLd3IiD9Mn;7{AyCXh9^xf!VT=?>$m4Wa#Mbjjot35(|^ zRwMOL>6FlfxdUhnLc>?t7!bGLq?P|zyJ;}~_y5+L*OBONx1OaIG>_SSU>f1$x$&K` zWIa4XrG$9JxgU1WG1cOm5^F$FD+@`q&$t1B%_?tei`-?!Yv44-v61X%p9t0bQoU$v zNe90jmx1!)bxnu?8=OKlm`?Pj6eE2;!#Tju?ZMArgbQf7R1I}A^>#BNUh&xxQSAG? z!bmAN&Si*CA|a999~e{<_hbm+9#!-XFpE& z*XNAPiQEim59Vv&Hf3uzG$@Xw2-@A&CR@;U8UISefCRqu&9Ll=0RS*F10`LbGM+h8 zIn-d2-eRF}_K%Ag1KegdmZ~wJQpQ%uy5Gxx%p5GOdfW*L*-ieG(J8oYclDL86yYYN zkjsIs0YHS~3g|-6yP0Xq)wne`ZFPpCiqf7H{l-!4QSBLGdMBFS;b%U8kGZ4UW`(30 ze>+a7s^Cgq2;suiHq)9R9%)sGIbJZ0vPC)FoZ}1>kThISL}=Kknp;p6)1azqAHr6$ zb{&d6RF7^o2P^=~!d*AB zwwn~xTyc9Y*TY+1YpmkB{z}fz&QW-#o@`+uYTvMNayPGK;xhOGS~?_|C`o_zz8;^5 zVmLRU7mbnfm)7c>g3-v$-C=}5g;yhww`+yq?IPvv@!ZTaP+9G^dCZD3)=7|rt2`)k zSv-U8P=YfF2yHllBXAMb`P`NXrfdt`Z7`dI9}=a^|Muc}>X@#g?c)+lsUSON1jeD; z7dpP%5U0pArJS1I;B5Vj+ktaP{!jvS+V|hCDB;F{d5uYC-(JiFr$!{%((lk4nZB{s zc?CRgWO_5RS*{mCqlWSc0xoiv+scJQ`OYR3N^KZ!=P5g%vdD<2W_6NO0-$rF53$hT zI}oBDtb0Zox6RRtIdtIP59re-0c2rMk&wfkH z@^t%d0B)vY{|{`AbUj<%9SJBt>EkcOGAzxz3-@S!$*@0Bh~Pb^78S9D=8fyf400N} z%D}6Q`m>~txd$mzG}5&C*d9yA+b*}iR7tOIMs-L+X_N!0ET6)uyw=B%ab`GlzKHoh zG_NhE&KKX>Uos3#NW8%6Z3`B%h-wF&g?fWO^BYbwzv_=_=$86`zh=>Ai$02gGuN3} z3spaKUf?e8o`Sx3<+)@JP5Z^B#Q#&~0d3b-H~* zB2uMWvgzKBzEf8k@zRjKesj_{S)vRWZe4Fxji%`dYMEuf3bE2?(%Z+kBAVI5n^PB;K22m@){}6_J()Q z_1J5J?(PR`aN6caN&RQ1Dk$;FO&_D8PXt2kCvs zur7liH~D_d9s1V&N<*R1yIYIYyj*y0Nf+)U2`zc6%qF?6e%dS*K&N-r=U_R6&mx`m zQ#}^#<|5|r$WU$f1WtVNQ~3>ppYf%u$UmmpXg)O*X9G>FjG@~h?)tV^6<)GZ_AD}8 zEhDAp?>|lj+1C!7a(?8H#|6FISf^?aWDKYAK|W+qLBL5nn>nT0l3g}=k1^BvEP{MR z&sz~0y+;E41&YC4JaBjny{ETe`#o!Syn(v=R$gXq~gg9NbH@1^k+ z2HxEUPfio}g1KI|v8#r57`Z9SrdZ#v2orClNwM_+v{T13QWsv$vhP8D(`EAk`zF&r(S|^0T?gp=Svz!u z^21IkgY%zH2=(7%FJDx6tijG-;)L{qV_;@@XErkia7JebXRIGL%OL54DY_<6t_CrY zeeBx{T71s~Hmdn5rL(pdy*(dRiHPA@U{QS;yQ3@HgPME$))JaDJrwKz*Pq{`zKhdE zNnlKzr_33`O1fR@kQ&LzA!xIXCOFzG2q@_W+LApy~XauAs1_lsNP*OTYLK+4T=?)1&QX1iZ@w@N)^E_`H;EiWaTxVZ< zuk~GBjRsY2E#xlFzjEXod-JP%>bx3Xe(X3eGv;2c&q?BDd$(`y>|~GjD~>h4^Ff!R zP~7q@J3T#pw#l6i2)APCfGPa}iIG@o0&S`q=ZdS$W;MRKCCg@E>iUghEiCU~$!C>a z;vI?&VVVqHKpCt*SllTUTvBkjI9BF-j^O+e$BsDlEzw!jeB-yOKQfg3?_atCl1=&` z{JX9Z(W>`Y@O={g=~6`!zEVw1F|A{UJ2Pt~CFqx1zGA>bw|$Y=*g=LKhH0=W2o>U= zEVd7j!b?^&J>oxUR=`Q_PcZ*A(4pOO63lzL^l8ZGN;}E9x?~F3ynJ^yVyc$Iz8pBZ zfgI&QE370$8O=4^e6^K({Pi#d|6<9X?f@_`+5rv&6@r6{y9WNs3kIb%-GWuFQq`0R zfep^0SG5xT#-h@Ur_iNrLGc8Zw#O8PMwN!ofkNjiYtb~4UtM4J7q2I;H5Kv$D=uWH3w0Sep)uEzsdqTJ#i$HVZlGW}G`4SB~S-A4Nb5zrGuAj`)| z{+p<*a}Vr>)$|^1251N?0~+y$1|)>Fg6en+fnG%&KbnWThak1^*!TYB z&=;eqtewAyWj|j-eqC)B_%CSkpB`WmS4m&32Y~KrUat#GUWgCib%XNa0r7f+by|v zMTm}_RYGNbn$Y-rje2d8ZMJS@GX#@InqSFrXL~qivlL;H#(ls7w+`RxQS)~=*)wRqd4ufLn5=;G33~)SySPO5ecryjD>p>Bn1*^TmcPms@4aN5Ydy8-%Y3RSYhtIs zcc=3Z8n0%8o7o6Kkt$h#lTTa74O3+A_5P8K0TxPL^utIVXcuO`SoK8M)LDEkoeUPm z?{?s4&Tk*C1xL`t#qjafI1VwxaQnPyWk&j(!ysyK?PREQzFy(0m^!qzG}KGMU-d`@ zZ-srA;qnJtoHpjV4h_Xk`4E&HllL^i{w5IQI#s9x-TSP=`9#=cWSgX%X}S0k&6BrK z_*?J1S!xZomkZPbn{PG`yZT@J4Fc|6N==Xi6MZV0&kkBGBc@S zuT)K_dO5 z?6zw=Is}Y={=jO%#_=c?na29w!-HD%n^tZizTfYR<H z;~i_QRE4Wj`LD2|$DlUA(fI!5qLc0V`Q=GVnMR>^g%j`uLf;?#uV#Gv_8;K#n03wl zWRZNcBS{!-Pa)1atqRliZ=1*7cHc}l$xDqU_+nfkiz~`;i<#CQ;OZP zvy<3ouYPI=Z)FbcxwOt!vgFHO8>s0IdJUOB(H17oDY0?kh+~wW6qBLuIwsZzx@SJC zN`cVptr<&i2ea^UgRH5>2%S?TRVmtj=*`M~Xz9fuczOMYf4FKrW$vuBcW`y;F1%x> zh|xE9*|uOSL(<^$oGvM84?2-TEG|Y3_ibEG)%AM{*(Lo7BrEM(fQHNTxPY!4rpO z0E_qB+G2rsIO2lR6ErYTLj+pqw^p1aJfz-QNC!~^tKFv@Oe5ZLGOD#|RM zKT}Z`HMS#IKEk64##4OY6s&czQ&S~DS7$v?*Oc!}<$6$`mlBCpwiRxATd1_Qv>r$c z)4W$G)@}z<{2pM6MS=h=!-E$&-=FR)MMUTLc&GpSc_*OF#=}$Z+DH?q_Q0ViIYZs> zOdvo-!oVmwLWsJX>9JhX;U@#<`ZD|vDG)jgRek*`w(-s$9unW6FDO0+O`mp2PZjdv zW5V*u*ZAPO^M&^GyrdI5;$2Q=@LN-@P? zA2i$CSoMJv*O?OgX%!SIC6#o4J%yyO?g*w{<(-A$?C{Geq~QH~`1UOhSp{^K6A=4Val-xmFr#MUtw{UTdg3By;*^}9O8M_)U6W+< z%$gehhjZtB@&X9c0A%VGGCCT(BtdQs)a-=6i_`u9bs#$QIm0LH0WcPgx9=SAq40g! zHFb6>qu$^riQ#qy0JV(!zkOzfjjLgSVo%bQ>p8W{6AYf1PKqLxjyl^S6|`zVrAqr+ zgj`*KEJy8G#39QWbu<~Ai>I5gQCaz)YTPrn{UW@HwxUAUT`u|D`-Ds+f)?F0epsW zA>!luc*e+w6P5^oegGBFVt}=W!sGG^zpxD|9fkWxwqEFU4a=sYKuN1?l$a@d zQ?fg**TK!JF-3MJnI5w4+sWCpk(Qz(^f$TpDAM9$^UsZTlAuRYL3ZD2bA|$!z!uZf z1&w>3NeR=FomCRhlrUJ9|7;80PGKtx&nD`@#(1&nabJIi?7(Gkw2cQbrflDF!!By$ zjygEEEHQE4dWF_Up8z966~3gdw9St-NXWs~$`8GEd@v=vD4k8D5`EBjl+>;Za5@~u zlH>hq%q*yO7{re4`|`OMPx`B_>CB(qyzXm*j$app>I{2F0n~1RYtWv9#aiE4vwMma zj$G-gmgU5biEdd9@2^ztZB)o8zi)$Ayo2B&ZZDqn$1uDh{q(B#IB8f!(#UWCp0=N+ z_%q?kq|X6EC^Q*o&>79l?`*=F3O46}XXn4zVB~<;CGPzOnPhnX!*u$j3N>YRcWR;I z-~2c0s7kza;Yc)K3_NW=fxg|UbKCxuC|zqt3>{_|4&O@jt#=36HFsP%ucF}aLYdzyZIs+ zj&%HUG4M*7foVcw-z}{!y+WGj5cGhfkc*E|8z)++a8P&mPJXy}s4vi8d-dYPT(L*AlK2b*tSuxlMEBV-rh4u9jFMkze z9e7u=G|y_fRrXdp=R+&!o8hxgR{0t6reuK)`)>jT_%u_|Ho)NB_8@(5LP{c~;YS=D8AK9rq8|U4we`}#GYGaOo$;V(m(Tozf z87Z8im!wzW1pN&LF(JO_V({eVzwto3muZTs8W~dd4!I6q1SIGs6X2&xV6pLPHymVFN zL}XW-ZTQ4=bDzZ1*ViRjNoHBQwexdC9vtsZ_|?l{Iu2?OLPVNvkg5C|Z+)gso|l2P zY9D;-MFO70<6KK6?m@~8HR!!j!$L@&Jpt2v?=#D63Z==7(9u?@1x-CS6$QD1rE@+8l3)!E*e&Q|MuGVae6!Tjx@BA<@FP^hb6tn4=Ha zg(<0Sm6<0AI_cGLis(Cq91N5y`U8EJQm_kO)aq|NkV^7cTt-Jnn|Dic;Xl@+0S-;q zO%-+oCrnG{UG;yGI-RQSoT7kq7W!D%b83)WnFGF!fZFyQi$r=48bHbNQU2{Oi}%Nr zlDB)J!18H&Cbh(g=l4BtUSA^Dgh;a<=WqxAIvIQykH~~zEr~vk^e)D~GCLYzAi{=U zY@}9(ZOvjLqUNPGuw4I);-PD7KNZ}!^sou~wC}Jwi@|mP=mK5GFccE!kCHBa&%C@O z5+navL8)o8`zF?uJuxd`zjOYR{|TV>!TnIq{Sy0`3k#PMR3<&jbg=%Jr^1N44HE!1 zA{2nqB;1pelQ$lEIWzqs!0`8l*R*gOQfExr0nQ zhqL@ij#>#c*({NA^@88*cGQ?Hv08xS~u!Xn1Z0s-^A}8pP)q5crTGKHRa0t znYaGZ87=I`a>W@O5)N`)e6*cDDPo%A_%S>CMm`p=@-I|K`8mHdTRZKbN?C5TlVIh} z(d!RrO_a5B8}E=sZE}l#A2o}kB#ksba(J4otQxt(Z5_|3JzdZua>%b(`>5HjLyD@2 zi@y7Dlwz9T$De+^>N55$7mS%&Yuo!3&dH!X`ZV;f)(ej`?#!P@8%p?V7AyXQB0i|z z5$XGiSlfM23`_a`kxY&M?MTvhO5oAgL9+~er5d0VKvh+?62Ar>&-jwH0ZY`_YgW$y z56Z8s49Z?i^)a_q6}PDb##CQlI97AT36?Xy8)BmFddm16U9J~kRp&zlSH6Mq9L2B?T0SoyO|JSn zsAwsOy;{$=+O{!~E2PCX?{Gv=rNtL4Ws-&5=}7Xq2c0Z2n2z5?JS?x^Iw_$;ODD4C zo^yWqjMxxTSQsZ$u*t(HvaEd54A-&P!)LCm!YNySVoMnRN0z@WZZ7znU;2a)vJ3*A zHqwl`&4Fx@BfP<%1H9oyR>m5}({X=VvkD^EL{5`w^s5SuFaRer49^ zNwbmY7l?Cdk!}Bd{|YCN-qwqHtL=)fZ&Mt>*(#Q@=a1Z7pGSkMp=N`NVl$k~vFIs&c(8hG-4dpAjDonzryI z{E5`5YP|eq4W;WVArhMvjgv>2e5kUIKX(^?$rz^u4|S`F{84~H`NbP9W0gwSGGpiO z-4SC~fd5EQ{1T+~JsoOr;(X4V#)Wy*@)1r;0@Ts#-{_>HeoB38W`Q&@S>7}n?1u)v zamMrGrS33!FI<(~jt`mje2r}`Wg1}es(+VTY@BK0O=@7jUjCMIewA{95y+> z6W$r`tW$BhIGNL3~~KXwa{Do5IA|NUzut(=6XVIyHKhPk*wl!sRdR&L3>2 zf6I%rMR7$;opwgwO|U^Wedg=Ow2W3LeO_xldRxe|`rOIu&JYR|Rj7UOL!*$e&yQBN zhV+;)lXH2$F++1yesAt-IVW$JVKw!W62JURxzeCt+3Xzz=^V+W5y--fLFvCTh{K~U z_U-65);=)!mHP%}0MlN^_J+C;*DC6M}?;u1*1)KJgRQ_BZhi(Hfc~ zgVs>gdEq4GWjCsZ3Q8*n7@*3_JT`NM-KHkd&*$Ez;GlNxN(-#WzOI+hF-y00U`B$b zzj0uP9x1HpCL=j7!g4R?M{WfE*_4Pi1(X!+7L5s{p(4$Eb3?hi_*@*=RF8^odf$o* z2;_jk7tSv<-9ngXlA-vT<%6dRLqzD~cxy2ekzP24{(k1BHTU13p6s&_aRH&|$PnEC zUrQ`7j;pe}Es;ppHLELRj4DaNNMow_9r+h(fC5M;u-+F;rk{fBK_7eKLwuMaXt7Ex zkcFKMiLPc4YLp>3b#BnL$$g5S>^ztHC_Zx@#6$sM;70>Tf+(VPpx&rpv*hcVQyYC; z>QQCN26_@isawjy8O+X--M@%Z^st^HwU{F7Ax!b~rxM&s48~g4b?AIHGHinNp;~Jd z=`Igi6Ub`e(pR7mtuSY1sA_9o2>kZdju8_XY>&i;7i!sFA|<@qs;}CX#xI-Y9_$@> z(TP@J&c%&u?&5-PB~h|E)%97O_-k}^55;)C%B!VuH`lqJS4%!A%N*a^yo@=)d<*;c zF0SNuGKJrBP87Vea*F&n8~;tQ!Q1Bzv)%_%XU=}1HKxw_xR60$av%U5{JK*#dpfPs z&)4c5kZsdHo?s5IqZ@6A1k}enC2?Z?MQ>(Yzy3II!nGdbEJo}1Z$O`z9QHrWWa6wX z!yizN!5(Xqp_k8Of<*VXnh{+q6`7vy(8aAUj*enCO^w=9iaY#(a@n3YKWHvFd0xf> zO)_E9hjEINho{lmnU67OxI|_(LNa~i^Da7$&E52w)RK9^QX1EER|j9{`2yp(4~lsc z07TkYbHo)Mi4aO%kA}@6SU5wJPO!^NB*@aSC*ogw_>Pqm>Cb}tb`ez_N>BeI1;9JR| z)L`di@4;ZrCs%zc5n%~quL>?~YMWeu4GG9knPkK4DGcbyE{IHK99&g$_`2-Z55-N= zOtT{6h>0<&cXGem++6dMs(GJPdJG%Lm4B6}?GS!c&6z&H5f_O6qwY=2v~j?|nCTCdI_~;)>-bO~3l0qQ7D2Nt#^nIA9;$d3DmWLA1?Or*lY{ zmRv%$=!#xOgT_`)qWNR5rjVUA>w9Rj_@3+1Lz4?@6j!DSWw)pfF{tvfp&~c~<_s;V z*bbXH$~OSswEN~=_w9){Je zpDBa?*E?}kG-=ym+|7(P9tRAG2^5i9-9{E#^P8ID@=!>znt>==-STVc{`iE%kLitgE8IX5>%87f3TbRE_SG8wWRQVtjuvES= z{Z*nvH7&9!$X-mKPB`VCkNC}JL24Cmf4e`Dgk5vFIY68X0H>?%AzC_R;Q)2;1{$=2 zR~0z|5!(m|Li^MjzR?qW^%&?fIZVAWbIEGoOd0oGn#=ODSYFz$^+CNLe8E3B3YW(z zJBO99FFfYPDF-U@NvDAfd#m9Lu~IqtHV7m%#FoHPm|}o9*R-j4;p#Dbsa$~|J3VsU zcg)qyLft)mPF$<52~DFXY>d;&Rv_Fkl(?@PMR$iTffVPQBCJmWe_aI)srv2pdyLR( zoKz#+ZJ!f7@zK2YVas|&J(lQ*0=VC`?+;+c}GJS@;l0+$9)m{guQ-ai?iDOXMv)AKdm;IEG+PD zwk~2LgVACS{;jR1=elu0gWp!891Qn&i#h9}%)IoszZn47x7$C2z+TU~GGP8n0EZZ) zY)C?bP#^3FicM9#B~6$pAaZ2>XxJf$AGW*QOtE&dYyCX|BVc^A{c1{tMJ>-p?{yirr}bl4# zqAiquO}P!JsBv1u5u3?L!^?Vm$j)wV-`<#c?El%i4CwX?hxbV0RRww<1A zy}Yg==pGIo+A`~{L?e0sGwlE85W*Z840%&3bbGsN1F7gB?(JZZ?lW?G?ZOtZ0dILU z*6xE`>MKH)F)$SLu1&fMn*B5ReO5JLmUPuDccItgb(fZ>LaAVyNjLMd4K>&-p`cvA z!7PEUKjtd*IZH|96)jc#Gtm)1`s|~Kq@RtOA#6Vu&ReY93x_SUgfMC=7d1Em?5rDw zfxdnTGN)vdQ)7xn-&TX~>^NaJyYt@o@@A8PMbtX}kB!}jD+0aQe%cM2wZMMJi^;LF zoXH1~FPP#t&xFwjaI}1h!OreM?LQi*C=rAie9rlU&*A>92UlVZ-wGKhC7UM$t_&di zp1mYvLNllOJ+q*_#ohvsHzIZ1tca-X_x0L(4yK6wBSvZao<^F&_8nedT>J{~McRD7 z`g(c!kwTOEg@OGfQx9yTuqKb|Ck>S*$?s_SA(e?TK1~=kEIZHDis@)ZWx%rlH0EhO z_M{Xhjdj7wu5|_Tft>ixNN8;OZeT>mG)eg(&^%Q&!nbbG-;#tpZ#f3Ai?3fO6h40b zf|#9sQm4H9CbLa7j`u_C06^>`V1{2@vqHeC|d5N%?otboZs?hl@G!Qiw zz4WNR*lH&xT=$-cN;(7-J&&m< zQ+0el==aQDjO{=AsE@*~-w*zlXAzZ16I^`@mJ7H!Ui9q7Jmpm*4WI+BR($$Jo5elU zGG&|0S%e)t;qZvGXKyRPsof1qI0@&pI&Xfd%9(92EU@8&aBDelK4_$$7QukLv|B#k z#VirmrR``G4?9rL&;gs`Zy}D4(gw8Xd>BEWD;}8vlXR>@Dq^KWsNT|p0SgC|Il{hf z6|U!CdqKDD=GMJ8cJPd;WEGkpKnj(R2oKQl4h_BTuZVBVH}9~ug34t^{<{_=vXB;M zBYCga0{pD4uo3?PKEbb#1W_+ zkZG-NMD+?|;m74jU+z%wC5xZD3aL_7@4eJR#_V;%yBu~%X3Wt7Fz*MlV0Ocl5#9fS z1>Lp3VGsB6X@ENCf2e_RdVfs^f7Co58IIX)u63fknjq86Sm>xEy^!&wIDUr?vwFc$ zXrFx)!~`_*zx9r1Sql*d`JbJhzaSkuCJx3->DN>kUn2ZYuOuVqADjNxM;1y0n@W+Z z?RN#HwFiZ#_!E;UpMkWnFr}CU=JhHJ^R==}B2@Hbu5}<0--xK>hJ?{c2NSR>#@a)U z-ykbaTILv}3u%bL{}fwu&U4_p*D2~q?$haNh!(y=zep%|dd|tF|Kk7Lu)tD`(-UQ7 zd~fLM{PcdF#w-PjYE=@?s!O<*sR&wFi!dh)6{7chCAz)3>OFNZu>MC@diHLf z(EO|gCedy$%Xzj&&b7}E=!Pt9-ra zS7;y6XG31VW!PY@G~bklb|ZCMEHLS|1Mxwt{Z6}MiY#amJNA;Y;VXE!+tJz**!Q`& z8=%9VvpHzoNSR-Ibt6$9e5vs6(>glKPVj(0c^G zp_GF~Pk8aUDKN)Cg{vO zG2gLam5d#5l~0Cjj>(NHb9?@=<*@D={*v`2V1i^NYanNTvsNWT^JzeaHU2c|&Ycm^q*R`XBS@ zbrCqviVf}>sUK58iCV?j8>sWTp_n^g|N8;wnr9rK#2e6&{4X!w+t@=%%py=JjROba z_ZyUr1`Zr?BjPkh9EZQvxq2^9N!4~0-PK6FA(qa?zN$5Be5`Cp6|1t7qk+Vt(maH| zNaQ)t-_k&_+*yL4H>Q*d82vo@5a@;al}EuEi-;XJ?p=ITkpo9)MF&%km7Jx)i5J7E zcTS$o)cmTV&3IzUN_5}*vkQrD!!3d2H*H$%Wr5D|TzPo|h@j2q4doRM(ArnYQZuo! zeiy);`T$Ums(s@pfn)YkUIvu8@GRLwH6H%4CXS$6K$U#Y>?T4ewwH+`hTC zP<~!N@xxO@v(PriQIZLl3M4>BkqL={Vq49&p}!Kd)x+9AF*C(6$EHBIn5rZlB`ul$ zrOK?EQPddcdgGpE|MfJ1Pfw@l;SD3OB2WO9P~K#Uor*#Ty=ZLra?CDG9P)^hLUwvW z;B)Nbzy*(7mZMI={=)RdKt*WyDD@%U%YR;P(W)5Za6*$^TuX(nfl;-_AXSfskv095 z(-DyD17R<}7;Wr|O$ZXOeF{{HXGqS8lla+m)fYJsc_C@nBa_^$)KX#lHKJNlu>4g| zmy(pR8o6$Bdubu>pysAeJa#De@zZoAyACBTEL1LpvDc8xfDucp47%tIrDYEQ{=dfo z2V;zi7H#3DI9Xr@$%BwAk>;s9UJ?rIuM~+HyeN0hMz+u-?BmPRI<9HU?>)Q|azbOm z4&Jj<>2%!NJMQydnE0`yIB#STsKxdl z&kIV%x1K+yngN#Z=&>?!n+-~-I%vvX&PMt)bVx<17+(n;JB!6%=-R`FuRBEI*y%|^ z@R1uI&t3A_Hgz z2~7n}fP3{1QR=i$6eIgvsOCpLQng~6M11z>>WRFZ-37inTpKxC966RI1xo|O8@FtP z$jE*?>3>ZD_~!T=DW@OuXQoH59FK}xx)Mqx@N=lz!7p+|QSIQ+=LI@)8cUQNfrQNu zzKjk5%A~KHk}$hx;JwL{xw-$eTbyTM0Ch#@azFv69m54Wzi~HGBVd!f(S{ZgWXjFv z!)pyAO^bV^q?q)Ixn2a->~dfM(U(x2v{vYFlcMabMJ_fkO|4>;UAI>u?PgEaH}seY zi8WPUv{LZxzH7EMr$H^T@}A(5zUwJ-N@klK;G5JB$*Mk|#QBM4YKaqY^^)SD1gjGf zuKZg+6az(m=VaKoyvN%rObS^0KcSN-%6jLKqZIRh7wSpj2dd$T6XG zXcs;_(Y{ejLz~U9+w9WLEjKi)`k_pN)eGg#6|FgXxe)(q#sqIIVB)^5~hi;sIlfUt?ABvCedaW{8>}5tD(l;3>{$UYVA3zW3Xr}||AxBi~;vEY-$mvv7vwZVm2S%dsGe+*?`e_Yi5oQWA zVFU!wuJr{8)XHAKJWL`nD3#JFsuzal#2&9X7x@dM_2s0H%R^bQ4UYkP$>A<7uBzfE zF)>&Am%YCmxuhX;NdK8O6#k>zd|Mq|dO@F;oF2B9_suSt;Ujn1da2IXaA9!v{Er{2 zz0*9-<=Y2l7)P)YY!HlNvg?>Zg2qPrb{q4fvE~MIi_G7|70<*vynEs&Dt;~1Ncw^) z>f4(3b`T1jNcXc5TJpGKG`7^2lvEOOrXZS%aQbOFPZ%Rq8sGz!v4G+yc%$R#`u)E% zXW)@Hcx}uqkE9x1#QJW^u7i{W++IU2GueEFjx0aQ@Q@^|ce~3OLPa@$TgpNdna!(R z@gNl3Vm~QGy-)GbOo2^~EeENG@5v*Bv5D-z+@W|NJn5p0C-gNIyo3*5t>boVbZb-$IwB)W^}?b4QG)u8AFX;=HAcfF$)R zaEYi&>>Dva{jDgI+}}<96ZX!g2j@E`U&{c$57OkKKf8E*aJuH5z=uYGLNb`h=OpGRg=PraITyXV^Mdbjz zT+nOlEj4g|SijBy8xTG|GI`^vipe;%t-nFqzQj3IR+e0iA6BBh8s3go$xvdlrYJiS zC^lN2X^ZPw%iypl_oYy|&o2Y70p0h`mpB$z1?0zZ_uf3eQ4Y{hZW#2_{UT_g{{8Wk zy!J%KXnmGBEJ91qRHv-A#HmVOPUF@e)g^UOWYdS0`oe|rX4^%g%#$W{M5}ST_SVz} zu&<;M3+|1=owe7U?OKqz+cG_WFn2@?g&WhhT zCqCVz6f1R!ofT7}RW&eA8D5L=wbRxV)l;+~M`nNOu~ErPJu7>}KGJ>to$3v%Mesju}Kt6Wc z(v`3zj0DPA!Jd}McxO`@8G-m&CgXCvR;!GgvfW?oJ7kKOQlPiTrz%vhHqQUXXeS#=G8YmKBsdhE4979B*QS zD2*3u76(@-GJmH9YoK-^J*t}3Z10#%tnBGZ?Co=2!UFMh8HZ!}S4R?^SAEsMW(jDy ziXJO}5N7%TY)s*StxZ`#51ktXAAm7AC!6SQvu8JS3vAe?9FkpxljJ8NNt=8_fodsax=zXe0x3g04G|Eb{cidfPpj9^sub zja5YY4$FqMfrcjjnf4jnFmaL}jmPMFNkbtsbHiM+7r7(@kaSGuuVPYU-ySJCAFx6+JN3oG#E z;X}3odC#lQ4maT!urJp|AXb{}U(_s+xjX(Gbw?40} zeM)-o&_uT*y=8-n^i&e)MRS~Ehr)ChzwcohI3Z2^tA!3jv)4Wy018=DzOdA*na~Q+BZRXo= z_w#@sol#Blkvkvj^yl4^15bCcAXn`f83~~b;#=FN8Vj0)F;x(63O-JjmGP4nm zGhU%o00=!IeP&q?RWI-&`;VbD9!PybL#?PfNGI@-1n>cqwp=RTmG=hoo9OzW_TCP8 z3Y<9=@ml|CC+G{~-h=K`~;4-M! z3?KJqk2qxt-w50KJ>F(=IIZlxo=cBSpyZ81M(x7N7g`!%s;@dQH0$+=B}MCq)&X0N zcg4@hZ-ZM3fdz$; z>u)qp6zE3-`5oc~)jz>vgxP#G4imv1Zc}6#Co^Kkx-x6Ny?p_Sk(t$Z2njHs0zHs5 z-TM}dZ-G`GMg_6#VD%6+_f%Es=dxR9Zltx|DsgA+M}(S?P>57j@?Os;^isfYQ};Qj z6a}$B#b)38?&2WCE`1?h0Xnhf*lw>z%p=}};+iP)J&hyu|KSGgt+o5xv>I3;cSs(~^dN?{|;NjQ2YIJ&dH zK?{FsG=rcunUda!g%EYa3S#2DF7RIoTM{V`zJW8b^uywYoc?4z7Y?eLq@ z!AUR;HJw?f$*Oc`itq?WodukBFb>PvBlj0-${R0(N-i0(7dBAa^QQ9(RRQuGqkL+F z&7X|AePR#Yc=T|7K*7%x&l=cBgHM4~4mAcX8JS>qBsf9bY=${r%toH^&d2BOjse`s zBPuBk8RZL{d5(2rewGqqv|}#Yh~RJgo%MBdnkKfS294}T1nc4h37Riopx@}dbr;X~H*Exz!&hj=+0LzTlJ^&O zU^ZFhJm10?<0dDl&KX`7FIjJp$UvD=@8K41o1AM_RlaASsHJ4%*5W2rIKo{C6O0{c z4y=;4VE+R269j->Gr6_QqJ}I4UE&ZN!y_14`ZM*Sllj&jqXelMHJqQVEa|0AF?TJ; zB*n?P26;tK9dELwC09%v-R~}Cv2ZH$Z#5re0UT$z6JeRmtOq7HFLmlfemsuk64=QR z_r6nxS7V?ZHp2rw+{#AC;e6<&g5_TY(hmD%hcvaXIu7HV-nT^_+DimMsmGjTg+6-; zlf7l}_QnpVa%D9TnF^#=Lk92lRx3FY3b{~nz0vH+Af}sW5U&NIn#u+BhFVW*Q6>SD z2dK@%3+)j|CfrOaoy-pYz*<@#Let@Q7<${{PxKEaFIi_Z@)4aA#Gyw5Ar^X{wKBW$ zfljj{gKM@HEIhmhN&(i0#RU8WqYq*trU9_0xt*&_4Uc2aoD2%XJ}>}R=9lfU=yLDY z1!RicO|?(7x$2gu6cmG1u=iG>dl)?GVz{&Pa9G?D7xZ&v2A9Y~W(eoKb6l5zY_h(rfLL#$O6UcBP#LPJoFSlwJ?T z$ekf86!J3gc@Y35paz%{@jyp^L=cA=Xk{v%?|zy47Jt6LV*etRyFTyfjZKyukwfd- zc^YHfNd-e^$RFoh=1ZIp6r)cFH&VNuZNTTAaiqsEvJSS(S+gAy_=RFiYP|YMy$9xN znO>$nvhvyQs=v=wm9Jj4hNn-mzt#8%iYaLS?56sCp|_@E_sw!G_cqC~j?b@Bh}~n` z0zBuYzlgh_bFt;HNz|j2WEu`9S{mnIkQ!#y?G#h8%OVuA6*G{1_M2trqs})SF$Z0m zb2{!|bcA?rMOEjSEL|UCw8hd4MhGB7%VsK;7n4sNWo*}zs#?vqA}_8 zI*7RbA6m-k?t^QANjD(RDq2vn@zkWL8ey{MyHNo5A`}cEz!?R$DI0;z=K^E=Wadq8 zKra={OapH0awo)`r!t1#Zi8^@;|EkW2)7=-x>#GY!okP40fyRuv7qJ1hpdianWjV< z-xLLO4bg3vwOMGELQEn}Z$Y&UF$KNa^c9)kGi&|VBa83ATK|xq073A@83p;v>P3VlVH8YSRv38?gi4HL0yh}}*g6#zRrvG8w8Q!Q{OhG+a5 z#7!%qZN%{Q1K;W%$(5@YLc+p@AoXPBX8D3oNGOW#?kM(^i_3TLYlmH)g}(`bb1n){ z&moMYYwl@}h5}ao`^@2q_>vXM0emXrIt=@uf;%y|9PNA- zknGdqeUFNmu#Q?$6^PU%m9|F7jq^+a>Qo*~3pmC9kA-W2C0SGZzkyeAb?wpykD#CJ zN*sYDogk^CGK?whxmeCn8wWB3Fg0S%0VEJeYna0jTM+P59wTopO6o7Ev=1!E?=1fP zHoOGM<@k_*J(HFAhm14C4MKdI+BD>B>VZ_?39{xFK_G1N-SyssFWKdkn4%}z#DtHJ zGVh`*58QO|qbvNnL{M0RTz7?+s=nY+M-x2hB6N4KXiK0JDa&5C)_8{KWrpS|jk6Sm zjM1f3T$1p#&KBu{=xV-_Ik(td{2wZ~YxWj8eo2wzr}>dcUNwU`mva$y-LF}t+mCa8 ze^sm|o3&xY#0AaP0;PzO$8VTa>uQg-u-iO((e}O^cCrEJ2b5Bt7L1o$KV+o$7P(d1 zHh`-Q)IRbXp1@}KOe_s?6On-gAXz=F)AZ8~mlJc;&w%kKQC9RM!@T0})hl7b_qQOL z1{DG_M<0STb58HBuV4R{TQw@W^43Qp@jnj5ChOA{ms6m;ucpTD*&u6C^Rsi@in0ib zhBCqO=e7&BN4Rbl^3R&buqd$;Nj)1Py~Cp?JciTQC7`?sas-yq8?rPG-K1A7A+K!_+f zB+$_so-Ll2JCvLPh;?T;3I+t?9=t&X1qkZ`|3yGJNXDfSS-m{o2-r+j$`pQ9b0Y{u zsc%a46xLhR?%o=e_PC9?%zgMlNizD(I-DwlYqU~_?YXdYxJAG`rIh~>(~KBocJ`pZ zhWI#QL$vXx=3^ZpkIKt0NO@{RUp`K@hR5FWpoW}8EQrV!yiHlr{|n{{!Abj2xMR;q z!I-xC7nN}KCsUe}xYV@pzJg@Ut&UfuXz<1kS_e1N$k9CC9hY<7E18-fAkIB-Et(wO z#M`=4gx2r2(m~UoOxHg?P5`1YYC`{Aduif7bA!gDtl$cI*BuAh0e6V?9$>d1BtJfe zN=U_gm%53XYp*(4(NjP_`U`a+emqW)#?NmiCR+R%VazSI{SJNqsp%!ji1!P}PVSk! zq;0&rs?}MODoGlM$BpDzuTsa|O~i&fbh`xzQIuBv$T}Lmq06lyvJjc;#yWUzbKa{( ze+DeY$&|1090_4+X>f&&UM5!_mV)AJ%eow7T{-2dhg=w+zf66l&8~I9jG~(YtaW*~ zq~VDv^f(6oCwc$9ydK4Gcsu>GiNEml&_B-PZ4EjqSJa#L?uUrtoYwP>aHu@${|kEn zg#QG?JSZZdg4jYqoDj5LR1_ Date: Fri, 26 Apr 2024 15:03:24 +0300 Subject: [PATCH 87/98] Update student.ipynb --- student.ipynb | 600 ++++++++++++++++++++++++++------------------------ 1 file changed, 312 insertions(+), 288 deletions(-) diff --git a/student.ipynb b/student.ipynb index 076d270b..d824e657 100644 --- a/student.ipynb +++ b/student.ipynb @@ -135,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 782, + "execution_count": 1388, "metadata": {}, "outputs": [], "source": [ @@ -175,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 783, + "execution_count": 1389, "metadata": {}, "outputs": [ { @@ -303,7 +303,7 @@ "4 NO Average 8 Good 1987 " ] }, - "execution_count": 783, + "execution_count": 1389, "metadata": {}, "output_type": "execute_result" } @@ -327,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 784, + "execution_count": 1390, "metadata": {}, "outputs": [ { @@ -336,7 +336,7 @@ "(21597, 11)" ] }, - "execution_count": 784, + "execution_count": 1390, "metadata": {}, "output_type": "execute_result" } @@ -354,7 +354,7 @@ }, { "cell_type": "code", - "execution_count": 785, + "execution_count": 1391, "metadata": {}, "outputs": [ { @@ -388,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 786, + "execution_count": 1392, "metadata": {}, "outputs": [ { @@ -537,7 +537,7 @@ "max 1.651359e+06 3.500000 2015.000000 " ] }, - "execution_count": 786, + "execution_count": 1392, "metadata": {}, "output_type": "execute_result" } @@ -548,7 +548,7 @@ }, { "cell_type": "code", - "execution_count": 787, + "execution_count": 1393, "metadata": {}, "outputs": [ { @@ -565,7 +565,7 @@ "Name: price, dtype: float64" ] }, - "execution_count": 787, + "execution_count": 1393, "metadata": {}, "output_type": "execute_result" } @@ -585,7 +585,7 @@ }, { "cell_type": "code", - "execution_count": 788, + "execution_count": 1394, "metadata": {}, "outputs": [ { @@ -602,7 +602,7 @@ "Name: sqft_living, dtype: float64" ] }, - "execution_count": 788, + "execution_count": 1394, "metadata": {}, "output_type": "execute_result" } @@ -621,7 +621,7 @@ }, { "cell_type": "code", - "execution_count": 789, + "execution_count": 1395, "metadata": {}, "outputs": [ { @@ -643,7 +643,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 789, + "execution_count": 1395, "metadata": {}, "output_type": "execute_result" } @@ -661,7 +661,7 @@ }, { "cell_type": "code", - "execution_count": 790, + "execution_count": 1396, "metadata": {}, "outputs": [ { @@ -700,7 +700,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 790, + "execution_count": 1396, "metadata": {}, "output_type": "execute_result" } @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 791, + "execution_count": 1397, "metadata": {}, "outputs": [ { @@ -727,7 +727,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 791, + "execution_count": 1397, "metadata": {}, "output_type": "execute_result" } @@ -738,7 +738,7 @@ }, { "cell_type": "code", - "execution_count": 792, + "execution_count": 1398, "metadata": {}, "outputs": [ { @@ -759,7 +759,7 @@ "Name: count, Length: 9776, dtype: int64" ] }, - "execution_count": 792, + "execution_count": 1398, "metadata": {}, "output_type": "execute_result" } @@ -770,7 +770,7 @@ }, { "cell_type": "code", - "execution_count": 793, + "execution_count": 1399, "metadata": {}, "outputs": [ { @@ -787,7 +787,7 @@ "Name: sqft_lot, dtype: float64" ] }, - "execution_count": 793, + "execution_count": 1399, "metadata": {}, "output_type": "execute_result" } @@ -798,7 +798,7 @@ }, { "cell_type": "code", - "execution_count": 794, + "execution_count": 1400, "metadata": {}, "outputs": [ { @@ -819,7 +819,7 @@ "Name: count, Length: 116, dtype: int64" ] }, - "execution_count": 794, + "execution_count": 1400, "metadata": {}, "output_type": "execute_result" } @@ -838,7 +838,7 @@ }, { "cell_type": "code", - "execution_count": 795, + "execution_count": 1401, "metadata": {}, "outputs": [ { @@ -853,7 +853,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 795, + "execution_count": 1401, "metadata": {}, "output_type": "execute_result" } @@ -864,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 796, + "execution_count": 1402, "metadata": {}, "outputs": [ { @@ -876,7 +876,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 796, + "execution_count": 1402, "metadata": {}, "output_type": "execute_result" } @@ -887,12 +887,12 @@ }, { "cell_type": "code", - "execution_count": 797, + "execution_count": 1403, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -919,12 +919,12 @@ }, { "cell_type": "code", - "execution_count": 798, + "execution_count": 1404, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -988,7 +988,7 @@ }, { "cell_type": "code", - "execution_count": 799, + "execution_count": 1405, "metadata": {}, "outputs": [ { @@ -1008,7 +1008,7 @@ "dtype: int64" ] }, - "execution_count": 799, + "execution_count": 1405, "metadata": {}, "output_type": "execute_result" } @@ -1020,7 +1020,7 @@ }, { "cell_type": "code", - "execution_count": 800, + "execution_count": 1406, "metadata": {}, "outputs": [ { @@ -1057,7 +1057,7 @@ }, { "cell_type": "code", - "execution_count": 801, + "execution_count": 1407, "metadata": {}, "outputs": [ { @@ -1069,7 +1069,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 801, + "execution_count": 1407, "metadata": {}, "output_type": "execute_result" } @@ -1088,7 +1088,7 @@ }, { "cell_type": "code", - "execution_count": 802, + "execution_count": 1408, "metadata": {}, "outputs": [], "source": [ @@ -1097,7 +1097,7 @@ }, { "cell_type": "code", - "execution_count": 803, + "execution_count": 1409, "metadata": {}, "outputs": [ { @@ -1109,7 +1109,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 803, + "execution_count": 1409, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 804, + "execution_count": 1410, "metadata": {}, "outputs": [ { @@ -1140,7 +1140,7 @@ "dtype: int64" ] }, - "execution_count": 804, + "execution_count": 1410, "metadata": {}, "output_type": "execute_result" } @@ -1172,7 +1172,7 @@ }, { "cell_type": "code", - "execution_count": 805, + "execution_count": 1411, "metadata": {}, "outputs": [ { @@ -1235,7 +1235,7 @@ }, { "cell_type": "code", - "execution_count": 806, + "execution_count": 1412, "metadata": {}, "outputs": [], "source": [ @@ -1244,7 +1244,7 @@ }, { "cell_type": "code", - "execution_count": 807, + "execution_count": 1413, "metadata": {}, "outputs": [ { @@ -1255,7 +1255,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 807, + "execution_count": 1413, "metadata": {}, "output_type": "execute_result" } @@ -1266,7 +1266,7 @@ }, { "cell_type": "code", - "execution_count": 808, + "execution_count": 1414, "metadata": {}, "outputs": [], "source": [ @@ -1275,7 +1275,7 @@ }, { "cell_type": "code", - "execution_count": 809, + "execution_count": 1415, "metadata": {}, "outputs": [ { @@ -1284,7 +1284,7 @@ "(46360, 11)" ] }, - "execution_count": 809, + "execution_count": 1415, "metadata": {}, "output_type": "execute_result" } @@ -1295,7 +1295,7 @@ }, { "cell_type": "code", - "execution_count": 810, + "execution_count": 1416, "metadata": {}, "outputs": [], "source": [ @@ -1304,7 +1304,7 @@ }, { "cell_type": "code", - "execution_count": 811, + "execution_count": 1417, "metadata": {}, "outputs": [ { @@ -1531,7 +1531,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 811, + "execution_count": 1417, "metadata": {}, "output_type": "execute_result" } @@ -1542,7 +1542,7 @@ }, { "cell_type": "code", - "execution_count": 812, + "execution_count": 1418, "metadata": {}, "outputs": [ { @@ -1576,7 +1576,7 @@ }, { "cell_type": "code", - "execution_count": 813, + "execution_count": 1419, "metadata": {}, "outputs": [ { @@ -1597,7 +1597,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 813, + "execution_count": 1419, "metadata": {}, "output_type": "execute_result" } @@ -1615,7 +1615,7 @@ }, { "cell_type": "code", - "execution_count": 814, + "execution_count": 1420, "metadata": {}, "outputs": [], "source": [ @@ -1625,7 +1625,7 @@ }, { "cell_type": "code", - "execution_count": 815, + "execution_count": 1421, "metadata": {}, "outputs": [ { @@ -1677,7 +1677,7 @@ }, { "cell_type": "code", - "execution_count": 816, + "execution_count": 1422, "metadata": {}, "outputs": [ { @@ -1686,7 +1686,7 @@ "array(['NO', 'YES'], dtype=object)" ] }, - "execution_count": 816, + "execution_count": 1422, "metadata": {}, "output_type": "execute_result" } @@ -1708,7 +1708,7 @@ }, { "cell_type": "code", - "execution_count": 817, + "execution_count": 1423, "metadata": {}, "outputs": [ { @@ -1717,7 +1717,7 @@ "array([0., 0., 0., ..., 0., 0., 0.])" ] }, - "execution_count": 817, + "execution_count": 1423, "metadata": {}, "output_type": "execute_result" } @@ -1736,7 +1736,7 @@ }, { "cell_type": "code", - "execution_count": 818, + "execution_count": 1424, "metadata": {}, "outputs": [ { @@ -1963,7 +1963,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 818, + "execution_count": 1424, "metadata": {}, "output_type": "execute_result" } @@ -1978,7 +1978,7 @@ }, { "cell_type": "code", - "execution_count": 819, + "execution_count": 1425, "metadata": {}, "outputs": [ { @@ -1990,7 +1990,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 819, + "execution_count": 1425, "metadata": {}, "output_type": "execute_result" } @@ -2008,7 +2008,7 @@ }, { "cell_type": "code", - "execution_count": 820, + "execution_count": 1426, "metadata": {}, "outputs": [ { @@ -2023,7 +2023,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 820, + "execution_count": 1426, "metadata": {}, "output_type": "execute_result" } @@ -2034,7 +2034,7 @@ }, { "cell_type": "code", - "execution_count": 821, + "execution_count": 1427, "metadata": {}, "outputs": [], "source": [ @@ -2049,7 +2049,7 @@ }, { "cell_type": "code", - "execution_count": 822, + "execution_count": 1428, "metadata": {}, "outputs": [ { @@ -2069,7 +2069,7 @@ "Name: condition, Length: 21420, dtype: int64" ] }, - "execution_count": 822, + "execution_count": 1428, "metadata": {}, "output_type": "execute_result" } @@ -2080,7 +2080,7 @@ }, { "cell_type": "code", - "execution_count": 823, + "execution_count": 1429, "metadata": {}, "outputs": [ { @@ -2095,7 +2095,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 823, + "execution_count": 1429, "metadata": {}, "output_type": "execute_result" } @@ -2107,7 +2107,7 @@ }, { "cell_type": "code", - "execution_count": 824, + "execution_count": 1430, "metadata": {}, "outputs": [ { @@ -2150,7 +2150,7 @@ }, { "cell_type": "code", - "execution_count": 825, + "execution_count": 1431, "metadata": {}, "outputs": [], "source": [ @@ -2166,7 +2166,7 @@ }, { "cell_type": "code", - "execution_count": 826, + "execution_count": 1432, "metadata": {}, "outputs": [ { @@ -2225,7 +2225,7 @@ }, { "cell_type": "code", - "execution_count": 827, + "execution_count": 1433, "metadata": {}, "outputs": [], "source": [ @@ -2250,7 +2250,7 @@ }, { "cell_type": "code", - "execution_count": 828, + "execution_count": 1434, "metadata": {}, "outputs": [ { @@ -2271,7 +2271,7 @@ }, { "cell_type": "code", - "execution_count": 829, + "execution_count": 1435, "metadata": {}, "outputs": [ { @@ -2319,7 +2319,7 @@ }, { "cell_type": "code", - "execution_count": 830, + "execution_count": 1436, "metadata": {}, "outputs": [ { @@ -2350,7 +2350,7 @@ }, { "cell_type": "code", - "execution_count": 831, + "execution_count": 1437, "metadata": {}, "outputs": [ { @@ -2398,7 +2398,7 @@ }, { "cell_type": "code", - "execution_count": 832, + "execution_count": 1438, "metadata": {}, "outputs": [ { @@ -2424,7 +2424,7 @@ }, { "cell_type": "code", - "execution_count": 833, + "execution_count": 1439, "metadata": {}, "outputs": [ { @@ -2472,7 +2472,7 @@ }, { "cell_type": "code", - "execution_count": 834, + "execution_count": 1440, "metadata": {}, "outputs": [ { @@ -2498,7 +2498,7 @@ }, { "cell_type": "code", - "execution_count": 835, + "execution_count": 1441, "metadata": {}, "outputs": [ { @@ -2540,7 +2540,7 @@ }, { "cell_type": "code", - "execution_count": 836, + "execution_count": 1442, "metadata": {}, "outputs": [], "source": [ @@ -2551,7 +2551,7 @@ }, { "cell_type": "code", - "execution_count": 837, + "execution_count": 1443, "metadata": {}, "outputs": [ { @@ -2585,7 +2585,7 @@ }, { "cell_type": "code", - "execution_count": 838, + "execution_count": 1444, "metadata": {}, "outputs": [], "source": [ @@ -2595,7 +2595,7 @@ }, { "cell_type": "code", - "execution_count": 839, + "execution_count": 1445, "metadata": {}, "outputs": [ { @@ -2674,7 +2674,7 @@ }, { "cell_type": "code", - "execution_count": 840, + "execution_count": 1446, "metadata": {}, "outputs": [ { @@ -2721,7 +2721,7 @@ }, { "cell_type": "code", - "execution_count": 841, + "execution_count": 1447, "metadata": {}, "outputs": [ { @@ -2747,7 +2747,7 @@ }, { "cell_type": "code", - "execution_count": 842, + "execution_count": 1448, "metadata": {}, "outputs": [ { @@ -2769,7 +2769,7 @@ }, { "cell_type": "code", - "execution_count": 843, + "execution_count": 1449, "metadata": {}, "outputs": [ { @@ -2800,7 +2800,7 @@ }, { "cell_type": "code", - "execution_count": 844, + "execution_count": 1450, "metadata": {}, "outputs": [ { @@ -2823,7 +2823,7 @@ }, { "cell_type": "code", - "execution_count": 845, + "execution_count": 1451, "metadata": {}, "outputs": [ { @@ -2845,7 +2845,7 @@ }, { "cell_type": "code", - "execution_count": 846, + "execution_count": 1452, "metadata": {}, "outputs": [ { @@ -2883,7 +2883,7 @@ }, { "cell_type": "code", - "execution_count": 847, + "execution_count": 1453, "metadata": {}, "outputs": [ { @@ -2923,7 +2923,7 @@ }, { "cell_type": "code", - "execution_count": 848, + "execution_count": 1454, "metadata": {}, "outputs": [ { @@ -2961,7 +2961,7 @@ }, { "cell_type": "code", - "execution_count": 849, + "execution_count": 1455, "metadata": {}, "outputs": [ { @@ -3113,7 +3113,7 @@ }, { "cell_type": "code", - "execution_count": 850, + "execution_count": 1456, "metadata": {}, "outputs": [ { @@ -3337,7 +3337,7 @@ "yr_built 0.492854 -0.032005 -0.361670 0.452886 1.000000 " ] }, - "execution_count": 850, + "execution_count": 1456, "metadata": {}, "output_type": "execute_result" } @@ -3374,7 +3374,7 @@ }, { "cell_type": "code", - "execution_count": 851, + "execution_count": 1457, "metadata": {}, "outputs": [ { @@ -3408,7 +3408,7 @@ }, { "cell_type": "code", - "execution_count": 852, + "execution_count": 1458, "metadata": {}, "outputs": [ { @@ -3475,7 +3475,7 @@ "4 1680 8" ] }, - "execution_count": 852, + "execution_count": 1458, "metadata": {}, "output_type": "execute_result" } @@ -3496,7 +3496,7 @@ }, { "cell_type": "code", - "execution_count": 853, + "execution_count": 1459, "metadata": {}, "outputs": [ { @@ -3614,7 +3614,7 @@ "[20978 rows x 3 columns]" ] }, - "execution_count": 853, + "execution_count": 1459, "metadata": {}, "output_type": "execute_result" } @@ -3629,7 +3629,7 @@ }, { "cell_type": "code", - "execution_count": 854, + "execution_count": 1460, "metadata": {}, "outputs": [], "source": [ @@ -3638,7 +3638,7 @@ }, { "cell_type": "code", - "execution_count": 855, + "execution_count": 1461, "metadata": {}, "outputs": [ { @@ -3659,7 +3659,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:40:44 Log-Likelihood: -2.8743e+05\n", + " Time: 15:02:24 Log-Likelihood: -2.8743e+05\n", "\n", "\n", " No. Observations: 20978 AIC: 5.749e+05 \n", @@ -3711,7 +3711,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.486 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 9901. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:40:44 & \\textbf{ Log-Likelihood: } & -2.8743e+05 \\\\\n", + "\\textbf{Time:} & 15:02:24 & \\textbf{ Log-Likelihood: } & -2.8743e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & 5.749e+05 \\\\\n", "\\textbf{Df Residuals:} & 20975 & \\textbf{ BIC: } & 5.749e+05 \\\\\n", "\\textbf{Df Model:} & 2 & \\textbf{ } & \\\\\n", @@ -3750,7 +3750,7 @@ "Model: OLS Adj. R-squared: 0.486\n", "Method: Least Squares F-statistic: 9901.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:40:44 Log-Likelihood: -2.8743e+05\n", + "Time: 15:02:24 Log-Likelihood: -2.8743e+05\n", "No. Observations: 20978 AIC: 5.749e+05\n", "Df Residuals: 20975 BIC: 5.749e+05\n", "Df Model: 2 \n", @@ -3775,7 +3775,7 @@ "\"\"\"" ] }, - "execution_count": 855, + "execution_count": 1461, "metadata": {}, "output_type": "execute_result" } @@ -3800,7 +3800,7 @@ }, { "cell_type": "code", - "execution_count": 856, + "execution_count": 1462, "metadata": {}, "outputs": [], "source": [ @@ -3810,7 +3810,7 @@ }, { "cell_type": "code", - "execution_count": 857, + "execution_count": 1463, "metadata": {}, "outputs": [], "source": [ @@ -3819,7 +3819,7 @@ }, { "cell_type": "code", - "execution_count": 858, + "execution_count": 1464, "metadata": {}, "outputs": [ { @@ -3841,7 +3841,7 @@ }, { "cell_type": "code", - "execution_count": 859, + "execution_count": 1465, "metadata": {}, "outputs": [ { @@ -4044,7 +4044,7 @@ "[15733 rows x 9 columns]" ] }, - "execution_count": 859, + "execution_count": 1465, "metadata": {}, "output_type": "execute_result" } @@ -4088,7 +4088,7 @@ }, { "cell_type": "code", - "execution_count": 860, + "execution_count": 1466, "metadata": {}, "outputs": [ { @@ -4097,7 +4097,7 @@ "[array([1, 2, 3, 4, 5], dtype=int64)]" ] }, - "execution_count": 860, + "execution_count": 1466, "metadata": {}, "output_type": "execute_result" } @@ -4120,7 +4120,7 @@ }, { "cell_type": "code", - "execution_count": 861, + "execution_count": 1467, "metadata": {}, "outputs": [ { @@ -4135,7 +4135,7 @@ " [0., 0., 0., 1., 0.]])" ] }, - "execution_count": 861, + "execution_count": 1467, "metadata": {}, "output_type": "execute_result" } @@ -4152,7 +4152,7 @@ }, { "cell_type": "code", - "execution_count": 862, + "execution_count": 1468, "metadata": {}, "outputs": [ { @@ -4294,7 +4294,7 @@ "[15733 rows x 5 columns]" ] }, - "execution_count": 862, + "execution_count": 1468, "metadata": {}, "output_type": "execute_result" } @@ -4320,7 +4320,7 @@ }, { "cell_type": "code", - "execution_count": 863, + "execution_count": 1469, "metadata": {}, "outputs": [ { @@ -4511,7 +4511,7 @@ "[15733 rows x 8 columns]" ] }, - "execution_count": 863, + "execution_count": 1469, "metadata": {}, "output_type": "execute_result" } @@ -4524,7 +4524,7 @@ }, { "cell_type": "code", - "execution_count": 864, + "execution_count": 1470, "metadata": {}, "outputs": [ { @@ -4775,7 +4775,7 @@ "[15733 rows x 13 columns]" ] }, - "execution_count": 864, + "execution_count": 1470, "metadata": {}, "output_type": "execute_result" } @@ -4800,7 +4800,7 @@ }, { "cell_type": "code", - "execution_count": 865, + "execution_count": 1471, "metadata": {}, "outputs": [ { @@ -5039,7 +5039,7 @@ "[15733 rows x 12 columns]" ] }, - "execution_count": 865, + "execution_count": 1471, "metadata": {}, "output_type": "execute_result" } @@ -5052,7 +5052,7 @@ }, { "cell_type": "code", - "execution_count": 866, + "execution_count": 1472, "metadata": {}, "outputs": [ { @@ -5087,13 +5087,13 @@ }, { "cell_type": "code", - "execution_count": 867, + "execution_count": 1473, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "LinearRegression()" ] }, - "execution_count": 867, + "execution_count": 1473, "metadata": {}, "output_type": "execute_result" } @@ -5519,7 +5519,7 @@ }, { "cell_type": "code", - "execution_count": 868, + "execution_count": 1474, "metadata": {}, "outputs": [ { @@ -5528,7 +5528,7 @@ "array([0.61210062, 0.60849282, 0.59087099])" ] }, - "execution_count": 868, + "execution_count": 1474, "metadata": {}, "output_type": "execute_result" } @@ -5548,7 +5548,7 @@ }, { "cell_type": "code", - "execution_count": 869, + "execution_count": 1475, "metadata": {}, "outputs": [], "source": [ @@ -5558,7 +5558,7 @@ }, { "cell_type": "code", - "execution_count": 870, + "execution_count": 1476, "metadata": {}, "outputs": [ { @@ -5761,7 +5761,7 @@ "[5245 rows x 9 columns]" ] }, - "execution_count": 870, + "execution_count": 1476, "metadata": {}, "output_type": "execute_result" } @@ -5772,7 +5772,7 @@ }, { "cell_type": "code", - "execution_count": 871, + "execution_count": 1477, "metadata": {}, "outputs": [ { @@ -6023,7 +6023,7 @@ "[5245 rows x 13 columns]" ] }, - "execution_count": 871, + "execution_count": 1477, "metadata": {}, "output_type": "execute_result" } @@ -6053,7 +6053,7 @@ }, { "cell_type": "code", - "execution_count": 872, + "execution_count": 1478, "metadata": {}, "outputs": [ { @@ -6292,7 +6292,7 @@ "[5245 rows x 12 columns]" ] }, - "execution_count": 872, + "execution_count": 1478, "metadata": {}, "output_type": "execute_result" } @@ -6304,7 +6304,7 @@ }, { "cell_type": "code", - "execution_count": 873, + "execution_count": 1479, "metadata": {}, "outputs": [ { @@ -6313,7 +6313,7 @@ "0.617288818755894" ] }, - "execution_count": 873, + "execution_count": 1479, "metadata": {}, "output_type": "execute_result" } @@ -6328,7 +6328,7 @@ }, { "cell_type": "code", - "execution_count": 874, + "execution_count": 1480, "metadata": {}, "outputs": [ { @@ -6363,7 +6363,7 @@ }, { "cell_type": "code", - "execution_count": 875, + "execution_count": 1481, "metadata": {}, "outputs": [ { @@ -6402,7 +6402,7 @@ }, { "cell_type": "code", - "execution_count": 876, + "execution_count": 1482, "metadata": {}, "outputs": [ { @@ -6443,7 +6443,7 @@ }, { "cell_type": "code", - "execution_count": 877, + "execution_count": 1483, "metadata": {}, "outputs": [], "source": [ @@ -6452,7 +6452,7 @@ }, { "cell_type": "code", - "execution_count": 878, + "execution_count": 1484, "metadata": {}, "outputs": [ { @@ -6484,7 +6484,7 @@ }, { "cell_type": "code", - "execution_count": 879, + "execution_count": 1485, "metadata": {}, "outputs": [], "source": [ @@ -6493,7 +6493,7 @@ }, { "cell_type": "code", - "execution_count": 880, + "execution_count": 1486, "metadata": {}, "outputs": [ { @@ -6524,7 +6524,7 @@ }, { "cell_type": "code", - "execution_count": 881, + "execution_count": 1487, "metadata": {}, "outputs": [], "source": [ @@ -6534,7 +6534,7 @@ }, { "cell_type": "code", - "execution_count": 882, + "execution_count": 1488, "metadata": {}, "outputs": [ { @@ -6785,7 +6785,7 @@ "[15733 rows x 13 columns]" ] }, - "execution_count": 882, + "execution_count": 1488, "metadata": {}, "output_type": "execute_result" } @@ -6797,7 +6797,7 @@ }, { "cell_type": "code", - "execution_count": 883, + "execution_count": 1489, "metadata": {}, "outputs": [], "source": [ @@ -6806,7 +6806,7 @@ }, { "cell_type": "code", - "execution_count": 884, + "execution_count": 1490, "metadata": {}, "outputs": [ { @@ -6827,7 +6827,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:40:56 Log-Likelihood: -2.1360e+05\n", + " Time: 15:02:35 Log-Likelihood: -2.1360e+05\n", "\n", "\n", " No. Observations: 15733 AIC: 4.272e+05 \n", @@ -6909,7 +6909,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.605 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2010. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:40:56 & \\textbf{ Log-Likelihood: } & -2.1360e+05 \\\\\n", + "\\textbf{Time:} & 15:02:35 & \\textbf{ Log-Likelihood: } & -2.1360e+05 \\\\\n", "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.272e+05 \\\\\n", "\\textbf{Df Residuals:} & 15720 & \\textbf{ BIC: } & 4.273e+05 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -6958,7 +6958,7 @@ "Model: OLS Adj. R-squared: 0.605\n", "Method: Least Squares F-statistic: 2010.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:40:56 Log-Likelihood: -2.1360e+05\n", + "Time: 15:02:35 Log-Likelihood: -2.1360e+05\n", "No. Observations: 15733 AIC: 4.272e+05\n", "Df Residuals: 15720 BIC: 4.273e+05\n", "Df Model: 12 \n", @@ -6993,7 +6993,7 @@ "\"\"\"" ] }, - "execution_count": 884, + "execution_count": 1490, "metadata": {}, "output_type": "execute_result" } @@ -7018,7 +7018,7 @@ }, { "cell_type": "code", - "execution_count": 885, + "execution_count": 1491, "metadata": {}, "outputs": [ { @@ -7053,7 +7053,7 @@ }, { "cell_type": "code", - "execution_count": 886, + "execution_count": 1492, "metadata": {}, "outputs": [ { @@ -7088,7 +7088,7 @@ }, { "cell_type": "code", - "execution_count": 887, + "execution_count": 1493, "metadata": {}, "outputs": [ { @@ -7123,7 +7123,7 @@ }, { "cell_type": "code", - "execution_count": 888, + "execution_count": 1494, "metadata": {}, "outputs": [ { @@ -7277,7 +7277,7 @@ "[15733 rows x 6 columns]" ] }, - "execution_count": 888, + "execution_count": 1494, "metadata": {}, "output_type": "execute_result" } @@ -7295,7 +7295,7 @@ }, { "cell_type": "code", - "execution_count": 889, + "execution_count": 1495, "metadata": {}, "outputs": [ { @@ -7334,7 +7334,7 @@ }, { "cell_type": "code", - "execution_count": 890, + "execution_count": 1496, "metadata": {}, "outputs": [ { @@ -7355,7 +7355,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:41:05 Log-Likelihood: -2.1596e+05\n", + " Time: 15:02:44 Log-Likelihood: -2.1596e+05\n", "\n", "\n", " No. Observations: 15733 AIC: 4.319e+05 \n", @@ -7419,7 +7419,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.467 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2300. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:41:05 & \\textbf{ Log-Likelihood: } & -2.1596e+05 \\\\\n", + "\\textbf{Time:} & 15:02:44 & \\textbf{ Log-Likelihood: } & -2.1596e+05 \\\\\n", "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.319e+05 \\\\\n", "\\textbf{Df Residuals:} & 15726 & \\textbf{ BIC: } & 4.320e+05 \\\\\n", "\\textbf{Df Model:} & 6 & \\textbf{ } & \\\\\n", @@ -7462,7 +7462,7 @@ "Model: OLS Adj. R-squared: 0.467\n", "Method: Least Squares F-statistic: 2300.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:41:05 Log-Likelihood: -2.1596e+05\n", + "Time: 15:02:44 Log-Likelihood: -2.1596e+05\n", "No. Observations: 15733 AIC: 4.319e+05\n", "Df Residuals: 15726 BIC: 4.320e+05\n", "Df Model: 6 \n", @@ -7491,7 +7491,7 @@ "\"\"\"" ] }, - "execution_count": 890, + "execution_count": 1496, "metadata": {}, "output_type": "execute_result" } @@ -7511,7 +7511,7 @@ }, { "cell_type": "code", - "execution_count": 891, + "execution_count": 1497, "metadata": {}, "outputs": [], "source": [ @@ -7520,7 +7520,7 @@ }, { "cell_type": "code", - "execution_count": 892, + "execution_count": 1498, "metadata": {}, "outputs": [ { @@ -7575,7 +7575,7 @@ }, { "cell_type": "code", - "execution_count": 893, + "execution_count": 1499, "metadata": {}, "outputs": [ { @@ -7614,7 +7614,7 @@ }, { "cell_type": "code", - "execution_count": 894, + "execution_count": 1500, "metadata": {}, "outputs": [ { @@ -7681,7 +7681,7 @@ "2 sqft_living grade 0.481743 0.476978 Yes" ] }, - "execution_count": 894, + "execution_count": 1500, "metadata": {}, "output_type": "execute_result" } @@ -7765,7 +7765,7 @@ }, { "cell_type": "code", - "execution_count": 895, + "execution_count": 1501, "metadata": {}, "outputs": [ { @@ -7799,7 +7799,7 @@ }, { "cell_type": "code", - "execution_count": 896, + "execution_count": 1502, "metadata": {}, "outputs": [ { @@ -7828,7 +7828,7 @@ }, { "cell_type": "code", - "execution_count": 897, + "execution_count": 1503, "metadata": {}, "outputs": [ { @@ -7847,7 +7847,7 @@ }, { "cell_type": "code", - "execution_count": 898, + "execution_count": 1504, "metadata": {}, "outputs": [ { @@ -7856,7 +7856,7 @@ "[array([1, 2, 3, 4, 5], dtype=int64)]" ] }, - "execution_count": 898, + "execution_count": 1504, "metadata": {}, "output_type": "execute_result" } @@ -7870,7 +7870,7 @@ }, { "cell_type": "code", - "execution_count": 899, + "execution_count": 1505, "metadata": {}, "outputs": [ { @@ -7880,7 +7880,7 @@ "\twith 20978 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 899, + "execution_count": 1505, "metadata": {}, "output_type": "execute_result" } @@ -7893,7 +7893,7 @@ }, { "cell_type": "code", - "execution_count": 900, + "execution_count": 1506, "metadata": {}, "outputs": [ { @@ -7933,7 +7933,7 @@ }, { "cell_type": "code", - "execution_count": 901, + "execution_count": 1507, "metadata": {}, "outputs": [ { @@ -8148,7 +8148,7 @@ "[20978 rows x 10 columns]" ] }, - "execution_count": 901, + "execution_count": 1507, "metadata": {}, "output_type": "execute_result" } @@ -8160,7 +8160,7 @@ }, { "cell_type": "code", - "execution_count": 902, + "execution_count": 1508, "metadata": {}, "outputs": [ { @@ -8216,7 +8216,7 @@ }, { "cell_type": "code", - "execution_count": 903, + "execution_count": 1509, "metadata": {}, "outputs": [ { @@ -8479,7 +8479,7 @@ "[20978 rows x 14 columns]" ] }, - "execution_count": 903, + "execution_count": 1509, "metadata": {}, "output_type": "execute_result" } @@ -8491,7 +8491,7 @@ }, { "cell_type": "code", - "execution_count": 904, + "execution_count": 1510, "metadata": {}, "outputs": [ { @@ -8742,7 +8742,7 @@ "[20978 rows x 13 columns]" ] }, - "execution_count": 904, + "execution_count": 1510, "metadata": {}, "output_type": "execute_result" } @@ -8754,7 +8754,7 @@ }, { "cell_type": "code", - "execution_count": 905, + "execution_count": 1511, "metadata": {}, "outputs": [ { @@ -8888,7 +8888,7 @@ "4 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 905, + "execution_count": 1511, "metadata": {}, "output_type": "execute_result" } @@ -8901,7 +8901,7 @@ }, { "cell_type": "code", - "execution_count": 906, + "execution_count": 1512, "metadata": {}, "outputs": [ { @@ -9152,7 +9152,7 @@ "[20978 rows x 13 columns]" ] }, - "execution_count": 906, + "execution_count": 1512, "metadata": {}, "output_type": "execute_result" } @@ -9165,7 +9165,7 @@ }, { "cell_type": "code", - "execution_count": 907, + "execution_count": 1513, "metadata": {}, "outputs": [], "source": [ @@ -9174,7 +9174,7 @@ }, { "cell_type": "code", - "execution_count": 908, + "execution_count": 1514, "metadata": {}, "outputs": [ { @@ -9195,7 +9195,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:41:20 Log-Likelihood: -2.8457e+05\n", + " Time: 15:02:49 Log-Likelihood: -2.8457e+05\n", "\n", "\n", " No. Observations: 20978 AIC: 5.692e+05 \n", @@ -9277,7 +9277,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.608 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2714. \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:41:20 & \\textbf{ Log-Likelihood: } & -2.8457e+05 \\\\\n", + "\\textbf{Time:} & 15:02:49 & \\textbf{ Log-Likelihood: } & -2.8457e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & 5.692e+05 \\\\\n", "\\textbf{Df Residuals:} & 20965 & \\textbf{ BIC: } & 5.693e+05 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -9326,7 +9326,7 @@ "Model: OLS Adj. R-squared: 0.608\n", "Method: Least Squares F-statistic: 2714.\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:41:20 Log-Likelihood: -2.8457e+05\n", + "Time: 15:02:49 Log-Likelihood: -2.8457e+05\n", "No. Observations: 20978 AIC: 5.692e+05\n", "Df Residuals: 20965 BIC: 5.693e+05\n", "Df Model: 12 \n", @@ -9361,7 +9361,7 @@ "\"\"\"" ] }, - "execution_count": 908, + "execution_count": 1514, "metadata": {}, "output_type": "execute_result" } @@ -9372,7 +9372,7 @@ }, { "cell_type": "code", - "execution_count": 909, + "execution_count": 1515, "metadata": {}, "outputs": [], "source": [ @@ -9381,7 +9381,7 @@ }, { "cell_type": "code", - "execution_count": 910, + "execution_count": 1516, "metadata": {}, "outputs": [ { @@ -9403,7 +9403,7 @@ }, { "cell_type": "code", - "execution_count": 911, + "execution_count": 1517, "metadata": {}, "outputs": [], "source": [ @@ -9413,7 +9413,7 @@ }, { "cell_type": "code", - "execution_count": 912, + "execution_count": 1518, "metadata": {}, "outputs": [ { @@ -9422,7 +9422,7 @@ "0.6172888187558685" ] }, - "execution_count": 912, + "execution_count": 1518, "metadata": {}, "output_type": "execute_result" } @@ -9446,7 +9446,7 @@ }, { "cell_type": "code", - "execution_count": 913, + "execution_count": 1519, "metadata": {}, "outputs": [ { @@ -9488,7 +9488,7 @@ }, { "cell_type": "code", - "execution_count": 914, + "execution_count": 1520, "metadata": {}, "outputs": [ { @@ -9525,7 +9525,7 @@ }, { "cell_type": "code", - "execution_count": 915, + "execution_count": 1521, "metadata": {}, "outputs": [ { @@ -9665,7 +9665,7 @@ "4 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 915, + "execution_count": 1521, "metadata": {}, "output_type": "execute_result" } @@ -9677,7 +9677,7 @@ }, { "cell_type": "code", - "execution_count": 916, + "execution_count": 1522, "metadata": {}, "outputs": [], "source": [ @@ -9687,7 +9687,7 @@ }, { "cell_type": "code", - "execution_count": 917, + "execution_count": 1523, "metadata": {}, "outputs": [ { @@ -9805,7 +9805,7 @@ "[20978 rows x 3 columns]" ] }, - "execution_count": 917, + "execution_count": 1523, "metadata": {}, "output_type": "execute_result" } @@ -9816,7 +9816,7 @@ }, { "cell_type": "code", - "execution_count": 918, + "execution_count": 1524, "metadata": {}, "outputs": [], "source": [ @@ -9839,7 +9839,7 @@ }, { "cell_type": "code", - "execution_count": 919, + "execution_count": 1525, "metadata": {}, "outputs": [], "source": [ @@ -9849,7 +9849,7 @@ }, { "cell_type": "code", - "execution_count": 920, + "execution_count": 1526, "metadata": {}, "outputs": [ { @@ -10001,7 +10001,7 @@ "4 8080 1.0 0.0 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 920, + "execution_count": 1526, "metadata": {}, "output_type": "execute_result" } @@ -10013,7 +10013,7 @@ }, { "cell_type": "code", - "execution_count": 921, + "execution_count": 1527, "metadata": {}, "outputs": [ { @@ -10159,7 +10159,7 @@ "4 1.0 0.0 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 921, + "execution_count": 1527, "metadata": {}, "output_type": "execute_result" } @@ -10171,7 +10171,7 @@ }, { "cell_type": "code", - "execution_count": 922, + "execution_count": 1528, "metadata": {}, "outputs": [ { @@ -10311,7 +10311,7 @@ "4 0.0 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 922, + "execution_count": 1528, "metadata": {}, "output_type": "execute_result" } @@ -10323,7 +10323,7 @@ }, { "cell_type": "code", - "execution_count": 923, + "execution_count": 1529, "metadata": {}, "outputs": [], "source": [ @@ -10332,7 +10332,7 @@ }, { "cell_type": "code", - "execution_count": 924, + "execution_count": 1530, "metadata": {}, "outputs": [ { @@ -10353,7 +10353,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:41:26 Log-Likelihood: 6.2012e+05\n", + " Time: 15:02:52 Log-Likelihood: 6.2012e+05\n", "\n", "\n", " No. Observations: 20978 AIC: -1.240e+06\n", @@ -10438,7 +10438,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 1.000 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1.306e+30 \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:41:26 & \\textbf{ Log-Likelihood: } & 6.2012e+05 \\\\\n", + "\\textbf{Time:} & 15:02:52 & \\textbf{ Log-Likelihood: } & 6.2012e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & -1.240e+06 \\\\\n", "\\textbf{Df Residuals:} & 20964 & \\textbf{ BIC: } & -1.240e+06 \\\\\n", "\\textbf{Df Model:} & 13 & \\textbf{ } & \\\\\n", @@ -10488,7 +10488,7 @@ "Model: OLS Adj. R-squared: 1.000\n", "Method: Least Squares F-statistic: 1.306e+30\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:41:26 Log-Likelihood: 6.2012e+05\n", + "Time: 15:02:52 Log-Likelihood: 6.2012e+05\n", "No. Observations: 20978 AIC: -1.240e+06\n", "Df Residuals: 20964 BIC: -1.240e+06\n", "Df Model: 13 \n", @@ -10524,7 +10524,7 @@ "\"\"\"" ] }, - "execution_count": 924, + "execution_count": 1530, "metadata": {}, "output_type": "execute_result" } @@ -10552,7 +10552,7 @@ }, { "cell_type": "code", - "execution_count": 925, + "execution_count": 1531, "metadata": {}, "outputs": [ { @@ -10686,7 +10686,7 @@ "4 0.0 8 1987 1.0 0.0 0.0 " ] }, - "execution_count": 925, + "execution_count": 1531, "metadata": {}, "output_type": "execute_result" } @@ -10698,7 +10698,7 @@ }, { "cell_type": "code", - "execution_count": 926, + "execution_count": 1532, "metadata": {}, "outputs": [ { @@ -10719,7 +10719,7 @@ " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 14:41:26 Log-Likelihood: 6.1762e+05\n", + " Time: 15:02:53 Log-Likelihood: 6.1762e+05\n", "\n", "\n", " No. Observations: 20978 AIC: -1.235e+06\n", @@ -10801,7 +10801,7 @@ "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 1.000 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1.115e+30 \\\\\n", "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 14:41:26 & \\textbf{ Log-Likelihood: } & 6.1762e+05 \\\\\n", + "\\textbf{Time:} & 15:02:53 & \\textbf{ Log-Likelihood: } & 6.1762e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & -1.235e+06 \\\\\n", "\\textbf{Df Residuals:} & 20965 & \\textbf{ BIC: } & -1.235e+06 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -10850,7 +10850,7 @@ "Model: OLS Adj. R-squared: 1.000\n", "Method: Least Squares F-statistic: 1.115e+30\n", "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 14:41:26 Log-Likelihood: 6.1762e+05\n", + "Time: 15:02:53 Log-Likelihood: 6.1762e+05\n", "No. Observations: 20978 AIC: -1.235e+06\n", "Df Residuals: 20965 BIC: -1.235e+06\n", "Df Model: 12 \n", @@ -10885,7 +10885,7 @@ "\"\"\"" ] }, - "execution_count": 926, + "execution_count": 1532, "metadata": {}, "output_type": "execute_result" } @@ -10907,7 +10907,7 @@ }, { "cell_type": "code", - "execution_count": 927, + "execution_count": 1533, "metadata": {}, "outputs": [], "source": [ @@ -10916,7 +10916,29 @@ }, { "cell_type": "code", - "execution_count": 928, + "execution_count": 1534, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['sqft_living_log', 'sqft_lot_log', 'price_log',\n", + " 'bedrooms', 'bathrooms', 'floors',\n", + " 'waterfront', 'grade', 'yr_built',\n", + " 3, 4, 5],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "print(X2_train.columns)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1535, "metadata": {}, "outputs": [ { @@ -10929,16 +10951,16 @@ } ], "source": [ - "print(f\"X2_train is a DataFrame with {X2_train.shape[0]} rows and {X2_train.shape[1]} columns\")\n", + "print(f\"X2_train is a DataFrame with {X2_train_final.shape[0]} rows and {X2_train_final.shape[1]} columns\")\n", "print(f\"y2_train is a Series with {y2_train.shape[0]} values\")\n", "\n", - "# Always should have the same number of rows in X as values in y\n", - "assert X2_train.shape[0] == y2_train.shape[0]" + "\n", + "# Always should have the same number of rows in X as values in y\n" ] }, { "cell_type": "code", - "execution_count": 929, + "execution_count": 1536, "metadata": {}, "outputs": [], "source": [ @@ -10948,7 +10970,7 @@ }, { "cell_type": "code", - "execution_count": 930, + "execution_count": 1537, "metadata": {}, "outputs": [ { @@ -10957,7 +10979,7 @@ "1.0" ] }, - "execution_count": 930, + "execution_count": 1537, "metadata": {}, "output_type": "execute_result" } @@ -10975,12 +10997,14 @@ "final_model.fit(X2_train_final, y2_train)\n", "\n", "# Evaluate the model\n", - "final_model.score(X2_test_final, y2_test)\n" + "final_model.score(X2_test_final, y2_test)\n", + "\n", + "\n" ] }, { "cell_type": "code", - "execution_count": 931, + "execution_count": 1538, "metadata": {}, "outputs": [ { @@ -10989,7 +11013,7 @@ "array([1., 1., 1.])" ] }, - "execution_count": 931, + "execution_count": 1538, "metadata": {}, "output_type": "execute_result" } @@ -11008,7 +11032,7 @@ }, { "cell_type": "code", - "execution_count": 932, + "execution_count": 1539, "metadata": {}, "outputs": [ { @@ -11017,7 +11041,7 @@ "2.653101429710136e-15" ] }, - "execution_count": 932, + "execution_count": 1539, "metadata": {}, "output_type": "execute_result" } From a156d369876330eedbe426f96cef5f4c6ee28a00 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 15:03:28 +0300 Subject: [PATCH 88/98] Update jointplot.png --- jointplot.png | Bin 47394 -> 47497 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/jointplot.png b/jointplot.png index 8a5eef8417f51604ae34dc2b5ae1b127a81aa15b..0e8d3b73966baff00d86020690a27f0223ea40ce 100644 GIT binary patch literal 47497 zcmdqJbyQVf_cwazkZu7f>5vwXF6r*>?gr^pLP|QN1q1}7Tclg08zdAE5T)a;?f3aT z@AJOnjyLWYcib`VA88Rh4Bh(Mi!^Fc_wstdu$o2G0n7Xi<^D z6`qO7JMbdlDXr_N;bQISW9DuJQ!?{(b#(D`v@@sjwsQBdb8+T=!vBPWmCDxB)79e{ zJG;}rZ+PP3Zo|%7+fWG_L35SW^MJvy&7dE+ccNu>Fj(`MoRqkxZ_dGrUx1}nrs&;7 zi^8Fn-ZTF)!S6^}&W*?gdWK>|YGP4th<{?S;z#+Lv9?qmnXHLF8pw2e=tZE`RfFqw zEEuFlA|9G1{rP!un;jx)50;Y4!ZUwnxkInHHOi)+N?Pi2x$+gs6~m`N9i(4!-(z?uCX~`WM1%f_7?p-Yrv}%Uv5**{kIMN8-a;P~Z>okspC`sh z{;zI$Ty=(6F?HeV*-$1HLnR0QV?Pk}Yyh1uy{FVSa(hn(`6j^yrB?Q5`_xidt^fKT&VohQR+z) z_Y#vV_^x^?qgXlTNpXy?y3wH>)W(Q}z`q9lF-&4O%-syM$BKf)Sp1EVI0{E%&|NL$ zzg^z`Z}Y+&MfD+PIdwb!F=({|bd#`W+~D$dq&F6svV9Bc6d&lVp>`qjOFo-OcLOk; zXP_zciv9}nX&z1vqTWeM^5AE<&j*kC`>jQvW#5=Oo}>~pC(%bF&d9*Yzn;RxFV(xs zwr|kfj#HxhaIaD{e_ng;k0R@D~y@59H19_n(#H``BL&z z8(s>>t#mwdev^hr(t(qh1>NY#>`HtbgmMZ{Cc-xi~- z{(+)Ml++}%4F0dg{i{09k3TtVscKqGodhLB7zygToqTtiU&du_?&D0S;t*adQ3|ebkO~dnur8$bJFQfx znTO0H!(>=Gtr!joo*m}U$9O4uX`X`3Z&Kt;(j(Vi+{g!e_T77k?;` z*G~qUZDm;U0<92LghXHA_u}qa%<^5jU6nrfi5PC+B!SrMZZA#;sWVc>k4`gzY2&te0S2CefjH|i}}?ik!>4Q9n@L<)#=B|<{zo&Dowih)CdfKP&$#uRCt zDGDFX$U#mSFQ(?@yNsv2q>ByXz;rMe=TO?e&umhf&g!ka)xbfDs&9HKPK30d;CQ=6 z7khc1hjw7E#Jl_zH6P3qlbBv0!CThQYW5>y<}B5M@6T5aak=*~r+I28!+S}>Wr#Ms zqZ3OO4zp7V1w%sz=-^=lN;2|O1&mi=b6a$l&g1YFrg7pp*7r(yNH*8>YeKMn>w|AY z8JRVFr(PAA49sel9NZ>dw+)MMA>AaJE8thVbCLruW67R&_XZy4xq)*AJ;6*!DcPhK zfyslDx!w#bV@Fca&^=!dr>qlix ze|qO{It*;=nt35GsqfqM+m2-EvK|lp+Bdl;Jzw=diU}G&3OaAQ829N!P?~nXyPdDK z;P*Ztx!VoCLs`4%=W`vROMk!D4!)gY!nW$eD8^JgI7Uezv&#wC*$Avm8>0KG%S_AC=bV|a> zqutI0-x7D8HPnb}%@AJa2n!2ete$tGz;wHUgnxEkJ3G#Q=<&OkCN_$ABYr^;m`Uht=G?Io@RDpS6G=aDLwJlgNGv&~rpmp*93?<&yM2y_lS*4zdjP4ZyI zaR!`buZ><(*LLh19epY<%R`6x{u*LPk}uJA3<6&dGw9cwe11_X*axqD z?e_cIqk+SwHRH1hVP4+Iviu-YnCpy|&c^%taedbVwx;E<-TYt*OiWB!TD)UlA**~! zV7FfkSk51ztEPS5PB)3FsBmpDyr}HDVhQ;6n6jrQ93{3js*thysPp<5T7jC5Gg6u) z)UX~ZWr1x1L%;3R=8Y(_Um_p;&wqLaiGhz7r9}t+%$X$Y*K~Eh^8@287joDJb2rS@ zvf{k#+KYKH`BEg}&;A_o?MY4N6|=~%qy$q}SB~Aa-VKhtz%xCe>x24>sf3^i!Jo|t zHaTwn?FkK5GPO}=rU3!uC%)uWRaM8=x6%`_AlO^!|Euq(`S(JIW_IO50|}G^N_;C3 zx~#~0X(zx)@Y9W7Fp-jx;bOf!`SwO-^X~d+VCW5l+vynJ7BHu=p$HN8Z>TV_G^>vv zKbo4G!>`?)HJuDTPB68$Mut(v(2R@T2Lv2gQ1<%m<~H51X8>GK@vq0)m5b8Cj>}a7 z(Q9=vdQ5RdZ#J-Z54Vk8d@pIfyV{4I@feuX*^`Fq%a&*MAzeW@#Po$ zRpVU?o<;+Ax7Q~J^%I-Z`FA{!L9+UFf)&EWYlM9ZSkEUL zk<*740V2TJ*92^{T+Gx2Y3@ftwC%5Pv#RGprIHNKJ_u=d$l>I&{U_2$Y% zgwf)mDXOS!#hTpEICtH8JFc`6K1qMz zXqA{Y0;le&=0AOQzuZnQYHK5d9dE|6Z#tM<>#w?Di(F7q_>_?}suP=XD0)c(_8Sl07a`F^QuIT*R z1DlIKHNmeR%fwS9$x;!Zn+?Q2x~Lbu<~9ucGsE(N_K&%g+UKtO>#nWRZ09iG6!xpz zj=w0dZ}gM7Na^Sh)6>%*f5ul?Pw%>+`-?(MZZ?TGyxTmgJ-|k=n8*{J?+O+@J6w7x zdVeZ9FvhnQcevE_nDq5#4+`byUTjeen60DZ=UtKWmYEB8fcf9o0W0G0sO8OL{<5?b zYv9sB$e^5~>pEI()aJUI>r+@=UH#s}4@8cW^x(^MSO|2-Uq8P-4{gQf!^R~J5s}Vy zlKhF6!5~2NFM-Y7exy>Oe(^H+0!8R*ujqj>G^1;m<35lF9j^(4Qiykb*UC!o-vZ0O z`D1d=i;N7CL*O|@R&Rg$6m@hw>gedW*uV~cRV0(J*&T{-0ro%)<^9EgX_iUhN z6coWXZp%JvfsoU7`@N?&Iy&0D?Osq>`M|}um+ZLfZth;f-~T#n4!Gfq*{06O4*&Db zUD101W8V!VMMXs_5{yD{^PI6iTXomni)S;y?a0n7``DW!Z9}tn0#@o#$jqaoN|RfA zWmq92`rVn!JrVH2NU(r?gSAfvYge;cnJiGsgkBjcOj$@x7Qe)5-Qnt{VJS<(p>hyP9u2i3;Tb4!BQ9caY-Cj3{!*KT(B_+8gw z6u#?l01|9LcINLd2$sY3e8p!A3;`duzH$`AxB9!3uj*IakUSnDaz6=TsMf(7YNj}f zfkp8Ix(zjaEuj#tH@D%GH!#twsRW$Y&v!ezT3R0F-~BFgTk)D>yY|rXplu_POAd)b z7A-B^oaC`+D3eTk1sYJpOrWcJn=+ndEDjd}mb%XT}2GZCJ z(rzzl%jv)P%p$50xZkN%;0wn$gj0-^=sBF{X6cGA)Z1X+{XDwED%V7R{rdIA#eir$ zG-rSQ{2?JF{S=NZ^6Dt~{#um)30%48!43-H9_P0h%AatCQv~z>KBB>Qt^5jR<>-i^ zW8_7M7mY|tO6m&GiuqRm>(hQ=5Hg#$(+u8LFauwAyjPSkE@%>xUQPB&DtRRLnI3f^ zBNf3f8az3PITjCrOoHeCn)QN$x@Rsrr-3%*Yagz=?x zlc38&i<37vhksBrp;Em=^3a|rF=L|hCA^%xWQi5b*Vd48NNd|x#=ZsRcgn@7+{!;rK z^3}%Yt#ccB{y%#F=oQT2cY_BA2q2BJ9C!35Z3kS-zFV)4uURTDu>g|W{{9_v>*oO0 z;}Y9re@j_oxGZZ^SE2YeO2N47n#IOqs>t`%S!k-Tx3#snl$V1t$4LnRmJMZKRxFW7 zN~2e53~_J#f2&4xko5*Ka8N zR`qz}I4^|po_|97ouKV=ROw0^`LVF(j7OW`FQHVS%~~KaH-@Bgl}ZcO>P(ZSs^e>2 zVnssVZ&Pu~npaW?u{p9c=ogl+Xbdj zF4Uan!Bw%db@**&;b5h;o%jimFTi&-AofGkcib!m`pj5?)yq@x?pdh?y3iBcIm3Ca z8MHbF!hgE6c=q%8a=^?}&!^W(+FnxT=wB-0$E`(ENpxznn7QepXzO(3{JF6j`3J3m zTDe8sK)1%)h!<$EVYs8_`irqWR@}z zib%Bjm%UiH3L!VK(h#`zu*H&)CqO1tRL0l7s6iW{Nezud!8(K9`{+ngeoB?nwU;gy zha_BqNR85!x?~SB;wZc7GfgyVtti0A4JQ9dc+QEZ+PoA zc!))a8-(Q|U@LW&V9SB^r_TFgIzGhBsf2%$0*&rzBeITNRB_hB(&*JBRAT`V=w+L$ zic`~C5mk>Xl+)0|jQD5J0SB;(8w#{!TCr&iz{mV!Akw$0vQzIob0^W!sV(&yefTza zDjN&x7ZN^JJjT;V)b;|_;&!UFv}Y|5^Sopq@hu^Nge;olf7yvbnv?VQR-;Ed$T8?z)t#5RT&!8X-^IfHyMXS(#OEIp-jBOkh5g}_o?=hZR|^6_I+=^c$q_^`updf z$f^cRw!e0xiNS2d@bq7Qwt22>;c-6Fc>C@d#&ksCkBoRG&DPGSzx-@*q3ZW%aPMNE z){qLncu7EHZDNd6$-V=b(+R|J{vQyz|6kG%vX#Q2>VhB>3%Z)lH$PhKAbI#O)Qkkm zt5-o%zj=EUEV{U~q~jk0#S*5srSK{L8#KTd4B)VFJ{4KRrwAUk<3p((91P^Y7u_f# zAs*ubC|RW&Q!CTJ)7Ky^?3v5 z7NiN$dm#|-6J=@FPkgoQv;MX&F@wSg;9g`!1uVp&ro(%xcFrVN7=Xnq!VJQ{p|J>r zMjeyD89zb)Kc6`;;t~=bQzR5MG!O=L1@o2yRs(EA5PP=)6$69mrA>YL5*8he7I3|^ z*8ey`C=8^Lun@)={`;HLliGwp3;=6a?UmD^&XQM%$a()qE^Fv9#(VKyCHMy-1MKbo zv$LbMgmW-q5Jqm6=Z0V+YE6ZSc=W&)EX4EKYY3)ub94KyU9Z0M>AGH-Z+3h9X@dhw zW0nE`0mzAqVV%yf#>S^m<}q^Bo~-$&b|s5CMq>P4&a3b*ZYwHaWK&5ol$c1h$}rR2@m$|s!L?}rpDic=m&~{Mu&)9T z1ezd?ik79VEl!|gQ6WHzkT8~_k=tvnU7V&?koq^a`i0IylSEs(ylJmeWUFv%tQ{DF zhl-ffv<79c&(7*bp7ese7ol5UP0v0A9+st@*`;Y|*6KXDrHufggx|VEGIO)D=aoPB z>a()5bDNeH7l|G%O-*gI1A0fRQ2>xD)Ruk~B4P`TPT8m4-rLF|F@^jtFC`poC=f1a@ahv565gQX^HDE*4hcIkY$)Z`+=L)r&H-j|d?B(TZ(`BxKxKRqgiEdF+? z^aokP0wB%qHYo4l5=5@{!Yo?b+D>wh0#FQ^oQ-C8zjz^R9N%b>s%O&5iAjc2YG|DB zY8C1@KvOnztoxJ?MaLgq;5q#k$-~#CfgW#<*U{_09$A5W4yN7P2yIem9fR&p^S2_2 zjk`a8Mg(kDYiq0PVZ+?!)qYKx#%nN)L}pcPxR^tbX!rLKo3t-ZQ-P@%TSym`YV~DS9F?)0bC#!QBQu~iAaIGKMr8;_~JlB;J{NBn^OYl z#-IorfRf0=mDiQR!V>oAfBp2!yj2b;JRuKQxQ@_Bz!5Lkz3MsPhc3N%(OW4j4Q_;5 zQx7rAf?_U{v}9m6CV*+C7*F)10=pwq3N6m>L`WK@v||!u#Go)h0D^9xEI(YA4084x zmro?&YmWgQ5WBbaOtqGkJ^ZVqp@Sa(6Nyup{v#5X8$sl@EF4@uhMMJrMyvmf!}i2~ z`_bJ$OSMQE_^OO&RJaoeiy)YSxAXJ*db>?H>SGWJNreBO!ZHwbQJMbY3&IHwr5uv@ z^+=roS9AV4<{2&kRG@%6xo{w(KZ6_1BwP9HS@v!7WrfpMl*mN9qUTN^%31TtkYO^I zW`uNy%xc-kH+Hn)F13=rd&5f25(0pPY+qe=Q3(MiTn$Eof`t53&W>$mtvfYG)Xzqo zIbHi$mBBASltV3-^~f$lgAb>&%qoh82k-zOo!-XksF?Qe8U_IpX)oOY0wOHW$}Uoa z-X=gTOIOV9*nTC-PyF&0L~r$^iUt9F-kKX6bvbCD9s81d2*aC?wgbF??{*TgK zjDbMy0*k1Rs5c1^^MVo(pBJ5r(tz#^4PxP?6n(Y2tq_fMd3tCxlSwb zZA{!9Ou%3u{+_#DeJ|Tma(SU4ARC-7|H;yn1? z2dE+iDbrNN2llu9jYRX?O-$0j8A<-q=W}kmIRjXG=Cef$*u8uv4P%#nO2s_DOWM@u z2N}yrv*?8Ya!cfQ0k#{bw571tqYg-jV)lRQp z?SsUya6Lk^JsFV^V&dKIZ_mRyqcoHSklK8X`iZ+Pq;D?s?=RbHDH2cs7jXaTCB=(D zJzjwqzZoflE;iH^p)SXQE=z4UMQC<{W<>8VC*WYov>SjVmI6$2Pr||nGlZY*r^>R) z4I{q+xsztj9Fan}GH;KNx`wBIDUbIS(o9U_Ho!XKgGkmaTHV%01{m^(iqldmDk@B+ z60&+zudAM_Ub0cA*3iNY&(D*1%ir%nEXizN-MkBYepE5D4-F zpiCi&?i_FQLWJ5+$CLI$Cl{7JO;kP3uR38kb;+~(J|)TT-x>y-^!Wnxmtd3Uhdd#4 zim?jl-c5)Aas$@C8>gW~$li6s1=hpt=4Mw^=2@<{w#t*1Z^_{Cz`G*n&Pfe^;q)lT z`z@W7nc35}`sWGI?sj-S)J<%j_zD5lV>~AM_C76*2%>y#ot)VEc(fy`$v_oMr7-3v zxnx8ho(oQ1LX!_d8JeB;{^Z}=OCz;7`tn5kX+dVJ~Pnj0WgKYJb#XdpCa6V2p7G1JxzMI zy)bgG!+x04Bj8O?EWb0Zkd zsp;sTq>pIDtF*jj4?2leek=gevnKO#hr%D!5=7c*FuH8U7y+vRAZ$!}1xh!1<@s)+ z300Rx`PcLIHKM{9^fV79_=~Ei=(g+@j!Ql@R4y5D> zl4%isTCV}Q0N5d@X*fCq@ypK)BB8*D`sH5bW@HQsI`>9l?)~`T-Y19=Np~K zAo3BYiMx6J&I_j(fH)3i$n%8{qgq!mxx!m^KCi2hLoHWgnNoZ`?m%Pt9r&pEOZu{0 zZ~ZCCw!mv|nC_YUz}_C?9iWy8LmC<+%O2xP5J`-EmF4A{)2(bwc074ih^jRGwxVzD zk3*KVl9c|cCL}*f(cl6j-Z}zodYTs-MY85EbSHKCLdI`5`I=?wBJm7Sk4Z2YaE^y@ zA}+_i!W*L%Z6GQuf37Xh%_>hNy;XklnhMq7$Erp$tfamkA1GYCp$I53ce;WC-U6?e zpy|H(>C@%W=q*GskzCU!i39lg8>?IL;@=VlHzh~Kttp#sLY$;8&EP50dDz9^-dAN> z>Z2eg1Sq5TML&{t2*zUYOs8|X{X7{7kOGwV}G~Xv&#?1)NQ99CFZwOeU|^G9zeeor?34tw zM7&4aX6-R@^5$-UnC|Zx@Le)tv}lt&2q!7efk8>@I|wX|vQB-M{O(Cgc{TYmC&cV0 zQ=Z2{{uvN2`v9xaQcSxr5wOGUyB>-Xlg}EG5cIp~VtzoRu{dD{B%2&;*V+%{@csp_ zl{&6;vDy&%GPO6-=tAH)LO)jY?x$&&Ea(bQ41gq#Vs$R|4ZfRg7Mh&7?%KD324XLr zKpgF%iVdH-mX^AB8j{SoA{STEY{3e4JAcUCmmsu($_Sv5UwkbSi3H-CK-B^9)if9& z)Ts;6``vriwy>8t>d(Bmh=mfTACP&m!=+j$rl7ia43j+a$R4Rl@LwfN7MJ=_4z(X-7QTsHy2^pma| zcUU*jN4*0M9ZU?)c_q5UX9bMq1X77}FSjuJ!GAs5fB@hFWX7xRcGYYbD zX=Zy=>Jq}&EZVN-SvZjkgps4q5IlROXiBI_b+oX~R@Gh<3$cK-qr~9wM`nl)GCqlCZ$!vtCCUqHE4ua65s`HF=)YO< zQ1(4<7A=}=G0$hb8L|jm^}`r+)jPm1;f4G`-vYiO@BCM8hu6C^oYp5D|ixj+uMm%)(NR0Dp8DFwpmGFn57Q^ zK_61{BAi1#e0CmBUJY&-_@rOf&FsIA+7E&lwbfN(fF_mWbm0sbLtf5asyQpzH z;I)|5)7Hnu`UD+)^{O0dQRY+<_F;kC6d>SDW6BnWj9cHgXS;Fw;jTCp&{Z`a4?3Ht zsq-Mx;ld+e;H&aHqDcSvp5A&p%ZF3DP;JQ`#jN-YGPgqb6iBU=z7?c)Fan9yTJQx< zAsR2kE79c|b6cADt`_f?9`(%h?1jr(jQ>jRbI9IT=<&^u?{wEWe@N97=00~&EdDq; z$1m#3s!fMz7NOY&ngx|YySL}@@mTiGQiJ4CcAKlh0~~Ld22v4whPEd$5I{lb`A>nU ziB-pyxY(gsM(+kICcxmE8|WaM6Cq7__sfsAk@N+<7Gh>XecWJG<)oQX9J9+}a*2L- z{8Dt?$;F?ny7S8ZV^dT5W?h74!)g*EsL+JL>M|ObKfUj&Yz=+0#R-CIZHus`rt#+j z{0+i#30#sbbOPTdZsyt-QRfcdwCu!5K)DKSplZ_c9LF6`@lh zk-J+MhusF1;+zt*8GUgGNER4W@;p~NL0Fb|lar{Rs86>b*6*|N=r?=HUijbZ7aqTe z4rbDPOSc@J`ZttRO*I`br%3EL+caC^!dtiw(fmMoQcNJcyPPMV=_61TNfq}#zCk-q zJ(-OH6i--k*%>8b-91JGa%v!IVYev>eMX3%!P6)+UZJIS5ueO_26l703RPc%wp=x) z(#~#T|W?7S%m8PzNZzzrY ze&HOnzv6yc5y83jwuC$7$ z?b>&RkHo2P82h%-%H`oLnoq_Ia=9!XJ9wpWMkT8Bzjj$|eNUz(P@x)A`!)W(LOISe zPV%1UDSp#E(2truvH$^v3^YBK481U=DwEqEIAO@h7Qi>dxCez6jmzclQH}U;um*JeNh7B1DGyht$@+V*U%0u`U@37^%VF$i-!z{U z{zP)o-2Ne^|6`xDG}`6nfC_nF>m7FUTYF@T-Uup=vf@UtNGk0PyLF^(hk#?4a)pmV zL&dPIN{+JmD)+Q&<}UZ!6vz?`TtSvVF2ET*-AbzM&n#{5- zU%W^YOeGYDllLl*VCXe>{`=VR{T+wr10<4@47)r<2Ez@9Q8xcYhT$maUotm*p!-Oq z_36lxI+f&YySF*s(wu6DdNMgdH@a-y{kQ9;zB?TC5np%tkWG1SrzpEZAKEaTcop!n zsX5Ae-m36v{vh9K*npar)sR{WwVaJ^Nc{37A=ofx1gEYvb^k-RyZ6(E8mA2UXITNN zULM}DGL{+9l?t6td4(QZ#`6-zfg0_F1_vFcCz7&b%ra!YtEa|wH4k8RT0UW@>9nl- z&+`MF#BtX1>gn6&8y*CzFxT!owy2GxQ`ZkKew0!ph>MRm2XU>AwFne+C@Cr7L?j=w zCZS8I)U^yxA$MkI;a<09*_zrjV`_1me)@sWpa35hPpw(C_uE2! za8X~BNiw9cg8455yqfFk2Vn}uXwGBx==2gQDP4z(Q-R8$_CrNQ`=RjA4)c!YlKUef zlH(x|4>vM-6f=M<3fmu2p7M;a!MG6mlI;9j0gcADi@~9M<6&-);$Q%s(J;h4SGVkt z2Ass2d<@Nl4E2xz!s;Q|-(V(id?Ze}&loD9#CZ49Ms;7hX za^!l1MktcOLOFMZsCqf37SsdQ3e64Xh);!wmX1f?bwt_p-Q^@UI8@ytrm%`ZrGw5L zf3z_$F!+03(aO!Y`*C~!T#l|EfA+x0$Os1!)T-7`h{Qrg9=*N2C0WRNbiZi@O*kvb z#V)ZPkdw!XyMq%ACF)RJ)Cu5Nuw~-OdjJIw z^>R7*{uU{_C23fikoa`_n~kM5KF>-BE&BLF9*DH3=KUE*J+^wnZx z==PR!V!3OtKiabjEb#b`hi|#|AkPnFM0GwxO{`|{YGBNiX_9v zh71hFG~2`WP6X9YTw9<{w4bE9^#?Olxn#mI59+a+uYOdzZKvvN{>>r}7Q#Ul7A91G zast3?5y3QdWk{aoZoQ6xb)nto+sniM*t51*19N!OwN)~~m5w;k99~@*H z#xYwmB+qkZh#pT1C2=}j($>!uJ+zifR;psl8~ugx>zq&DetdXYxlW~vN0Zx6$${-* z25W9hKTS$M?YO7Zfx@7u?qCdAU7nyr#yZ_2E zq#+G+ZZ>L2ozpxxk4S7Nq=l0=F`)$MA;_>dPJEk1pWvWE5@wiPme%x69ymHtcM5d* zOx+h#oZPjZ%EroPn0lrd&U&B_9|Sr-mqD;tC(%BKpJmqE=$%`v1x2pnxuFX=U3G~I z@O8tnRaykdPp@A%Mn{+S?NAWDsjt(1HuUBDK!kzU{X62S;_POy`K5yuL3tRAg)dUG zrs0Ct;9cJhSPNAi1o-+F@s<`J8kq^ky1|w4KTt6PYr!+Lf;UMY-;j{1yaRoRT--ZP zc#f;YIQt`<^%F-`#iL%HjWlT<#N}7?DeZC@k)8b|w7$QpZ&(@pQp#?F={9cjaO%=h zXi=a{5=!-w9?O7CvMsC(lqeHuP*=XgOUU3;#0M!UKPM>)#v>3D=+KgVl^L;Q)H%$Y z$~gGTABxeNa>DIJMZ11RAHN3VF-a_Sl|6@9Dr^ZsYbB!80bC%=wRPM@iG+WG82F^j zaL)KO@Ha^rb;Z{93S+{Ht1GWSfsV9SvXb(34Xu@5$ zOI>~4-C{inY6M96S6|CGKn45N)r)2K5jH?gmc!Z^&eJqnl36gPKX-Hq$7D9cPxDko zXjmhOmfD%qSFf+GQA7f1tf7d|xCwDA!(_@liynaQIX1Jocx{*%Yx$>99*q$hON=Np znl#pGyb3^X3}^a(tmS?6cEZZZt-N(+MA{O#w~rMT%xTXjclE!tqm@5*IFxAu_DzM; zjU9B101gBo1qKE-|7_hqhAJ>Y{Xa+Caz#9-U52PX==ukn35vnGxFwgaN1)hGQd084 z9d(3`z#Eq9=QR8RxG3R9Xm4gxdF$of-D%=GlTc~JyLpMd#0fGyhHG-~3x3c`g>GcU zw&wiWcsn=Tz%hCQ_u5R~>XW#OTdL}|W2yGpa?$8{&*FD3ZmrRs0}0L9^Jvn%q{XI2 z;4vIe41+GWfyTaAp({)O1|oc1=Zt*BlWD)s%z)ogMQWg?6*i0i!~z3UK7iujZ-sL< zaT}8bk|i0;dI-Y{JU=gnUd?bBoBGwTp=uisoxH(yw6EzkVBdp>9jwm1l+q8k(?#M2 z8I{A6AMUHzF!8PjAQP0554X<1nLl`w)F9orekzN4<&jNkA608RL16k+^quM|MxyBX zV?i4$=bthy?g@}mO0UI(xH3+ZkmncXJwy{gfi_kALnvNh>}5eO8(O&{U=Nh@ganS( z4s=2)Du6Uib2PB+@J(vaJ+S+gwV*GdT40Id zpVX+k_6@fx5B`hU&BqoYv|Nt1Xx|*ug{~Yay^r=KxvB&-T6d!#pN8cx>~lB}j1Z9T zw&1eUofna}$Se$X0G!0TPev09uSmtv;v=B6Ucpw7_Fl>1FikHRwtaIt!QN+u$`tMH zy|cWmhNAWXYaaiX6l1GhRkh>KcL*HW58fzNf+KZh%mW~S%Kga15ykzKchmKrXH-$W zW{d+)iO;RS^!aY-{a$_G#ihnT0U14QTiOERCKIM;@DF|%zxZ(bH#NJBZ)$?)MZrAi z(}=X80zE47Q=n?i(Gl}WTbWWpYHUkFkpU5PG(3otcJLJyyF&4Oc|nGUXbllxTfw%! zKfk|QQ#XuCOlCZLt`+yQk!qF?1*pQ26=bv8^7I^&T$kGW*$6<&7(e5cW1hsMN|G1k zdjS+iGHsJLz^y1-)afWkfCpemPJ9;`fq?`Oygx}ZBCB#Z+7EZmNbGx`ii12j%B-;3 zQG>0M(**}_As`@dru(k~!jv38%TBfNN?s>rGQ(*RI}U|f7F;2##XgbvzK{3$*=3*q z2vb|8R@EYA-%hGElceogR)fZ|gd#od#nH3)rS_g9RD9ZI zfRdjl#!^50qu7%;S`ON2QY>=Pv7sTj5MT8^Mb_88rKGmbzidHWRG6{tx@0H?G(5pfQ21;xzP4^C zNUD=4YsZ1%(I{syd!K1Xlk^2=>^JYwVR-WOqWIwZnE61}1A14#Q&X;c=Pd2|=EMmk zBfg}sT5;n7#Imno)cF|rqeI&tb}@Btbrs91a%RX)_^fx04&$Lg;dY3C+Gi$idQ{cQNv*GANb|47HQG`KEKtb*3gYfwh&xX3I!p|x8X_3fr&C1O3;^ z$G}_ag)pMe!Ug@M1R9ICPY(#gqu!zf)nEXLdyS=tdT;!D?dBg@B$ML|SUbhOmjq{^ zYK$HHT++f%T}Azwsi^}L7-BnDM)zCx%?n21ji_Eq0AI(f1 zz4yO;^Tp_R+_y_iP;buB?HA~uvw{-I$-@5ufe;j|+Jxb^VaszWt=~;@BTwrFV3oq% z6xd+EaDKI|dnn+LaKR-K%4X7Y-Rixss!Lo;t;b86SWbPF!*$q>FaEQctGu|EjfIyo zO7m?4VLm7hw4XRBcvzXaNMk_PYPNYXsW>(F#JVr!eAPOk{`zgR5zs~>?BHL}*J!6n zH5-{LQ>HW-Peyh%TXNq}456EIiN~xx-e7;SaF9ZxGG5%Q?M`o_E^vB0h-aC!ofE_w zi$S61zN2;^AE8m&G5AB#JJVZ0YZ&cQU$q2oowh0#dbxly!mKo&teN#|775Ol2m3$T z4d*@%SfvlqPiM`15n<`-+fUo+s0iLiGHTwu!Ho4z-gbIrn=q0G&UWIYd{$gVdu#hl zsCwD&IPDC+FV(IlLY{xQ?#nMT*=>D`2aMpzw*AD;AL>_Osj69g>5r!?f=;hCRbI1M z_pP@dvf-fLM4`dEuAUL?9-UQQVY0!Il%i?znr6^H{fI~upv8^`|3swd(VTHR8gc%V zNX=Lv@$Q(2|MI~P30RCZRoa)gw#d)2cPEN6QeU-LEw-A8&0+5O4S&=bwx@K~le^@I z(8SXhr{*oIWQ+Kt6!bfx?|p=#we%*kVp)YX#Ahh*&vs^5n@VoE4HkxctaXKd#fnZs zny{;xlX9gMXw;3V_t9O8C=W%_s9X4GZA@{Es7?7r!AyqvPCJmogFOzhpsItOlZCVU z5#hEneZo_2>Dk7HGzKL&Ft`6O9VfRhv8l6E%}8CbGJ*L1?Ty=3cGI~3r(I#5`1AD+ zTf@*sSyh`@*Fi^tR+dU@aV*rp99tV2B0yPcxn4VFXN*&FpZ{@Qem!=~8u$HN zq7Uy&8UEx=bk$F|l`%HX4mX~qeeF~n&9r95rw!(68g-GWAYc4SvA9WH95s*G3AC7u zteA=Yx!M%%!}hH$rq0x)mM!^}U+vU;%=S4(XBE-NrKMj~d3)`2S^i1&t!g~Ff-9`W z)I3q)LCKW#%ip*X4|aX*_LCEYTi9lx5JF7m>{E6VO#B(NfWM~4?p+Kcra_Q zO9>p;Kgm6T5{gC0;QJu9n9|2WZ=%eyPKS;Cuv+W8f|D6d9hswR!D(x2_3@?T?srTN zsS#mSZxeZ|=OwoePFhV(d9tDkAI`S2)HjMsbS}&w!70ZkAaRa%$`2YFfiU*=2mP1K znaF2dahc6oK3)Zr-jkj@V}Ck640tsnnv!U5@yUJs~ijK&Pg`C4mY&P$S5>z&Z9DlGnRq;!KTlX&tQ`oNtB& z2tloXN};5h*F^^xIKmL*f?7EEcK=dk(iA4;)<~&v_T$rqr~T?|47h$ptkwlyBxfHokn+k#mbKY{&;xx@&(fs zSo!H$$+%o|qzdAoM(FF4>m6ZItq#+D?R*T`{Jq#*S~8dAIN#P_WGYz!+gI8qLdW zcUS2vQIw^RNWt2Eo0ygIW@H0z3dgheFe`sV?V!NzwuqAvNf}vN^AY%~j52nDt%n0{ zMQr>&(3uImU1QPfiFTG|Z{@s3p?_x>vtX# zpu#NXgd>G6XvH5;^;@IpoH5IE#^hV-dnl{qW%uH%*n@&UUF!y^8BE*E`^r`?szRXV ztJsg+Q?E}#8GMj8j?d~nSI~zx6zH|{q&{3>_z!jQvTs7wJ3<1`d+u{BVOTN2epKes z#g(~!1Er`y$NG<BUG4As2^fqxw7DBb(F4@cz=|jEqJ+rGYYy z#Lvr?(~$G$%b7tIAH)nmg!Apya~kgn6SG!&ypOo0*pxn6A#>K1T~8<)Wfu5T@yot1 z{dX}o=MN(`e$*Siaf8;}$1EekMP2L(3a-B9w4~D5 zYunYbq8+#F?z$g89m*R0jm~7rl^kZ4)x5tUsoHSEr=eB9dVfUeCydySqcVELn5`mI z5W<-z_q3rgoIKNzM2mafZQB{;&u^vPT_QLRfb&cX%Uno7z19L&GaBK79`~iS%O@$G z0-A3=0)(PKuNv3J9MQZXIrgJvSpR_UiaBkc!{-w#!}q}y{-?Qtmj~fuqh7SNCpbI< z*=UYmDh<3xBRx?i!G?Wu-}R>z#CYs6Q|3nBNlroy*8p2&gSk0_M^^Rjnmgv1_UX3j z($~*SlwFepAMk=Kp75Qe3rZgzGtiStCy*VJ2XR!sX`}RUoihIZ)0fQb?P%}G90c2M zFIv#ky`RA1ufun(vO8v2M{eg5dVxf88*E)XvpCAEqLqt;{6Z&C<)UL0dN-80d1p zVq6X?&&*9(K}st=ql6k~6^6)yOi zmxbwT(78IZbmRM)a7Nb7Z|vw82D5W!VIG2m6vW3Z=#82dnQnjv8Sl#UyPH?WkimiI zgND&Y^pS6gy4n0dP{zJ1@`J=c|N*)=H+_@{=j8o@dm(>%di@W#|uwV3t zi-9V-)-3%z@9~V4`093?o{2}8Wz5cEg-p4&ujkkdaPBX%-dE#Tw9JhwBaSl&;_@3? z;&+(CXPJZEP_raxgK63W=drG_DL*+NaDzHqutEEOFLq;e-X9m_#60NIk$4fR)8F{f zy8DPtM5IaK<^Ii+SDA+B{qIA>2uOb1JSp?M_~J3=VKhx)gQ6WbXFPT{%`YWM6 zS+0uSRlLU0DL13ufBwvdb4)R$_dOdK3{~dh*+kUi?}atOe7O8=5{w2y1q2<#YNL%x zwcFbfn(*NN(iDFJ0l+`lpMaYa3BbQkcSU6M*5>FxZx7XM+GNJ`=msZvs@xQ6|Aj(w zS_`m19dOM^g}Q*3p)AxkIcqH9+(aS*FX1LJ@Ple1Fspi&mEZdf z()32nnyxy<1guf`8%n-npD3mN#&oslP4nT=%dwR-ygIzlL#=pU`D~pu#~OEV`YlH* z-W(yzd>E`GsspPSIA^7Pa`l`B97huD%JyK6n zVk%_etLXjOy1s6y{&R5`WOyDmrc620*C_h_-azX~9jk=i+sdkLm>y9Tt+p;&Z9mO~ zGrYz4u8YfW_p!E)scetKmR+oc;E7J}ZkBK~?d$shjOhwibYCl*ROlcSsDGqdPo=WN zvW=r_@T(+OSZLf}V`nJF0|=LzaA$8Qvwi#H+1g>URwjbqe0u26WPd#H*-E8@qwadpeZc&31%)nimfG@Hz|NU? zCfOu7ghxAMe^040hHYCX8ZRI1AX!CeV9M$=)npF}S(#Tg^KwwH=`&mmB`3$cjQ%gO z&N3{@sBPDzG$`F6-QA%Q(xAl9NOy;HmvncdfW(l}-93mS-5}i}C5n6TzTbE3eH{Cb z4*X%BXXaUJ-Pe6x=e-8r;xCH@!|4`$)5J?3+0R(j91B{j;nVcePfLar~vn z&YHbz&!re#N%mC^z6g7Y`J>sw%lU*V8r(cDhM2}?p}rG*fM)?c@^aP!40fK2HpXDO z^0x-vKXx2)3YI@l8Sgx*UMRe0#fgjN&fRttI(&i^oSn>eI*mO+p9~N5%vEdUE;h|%LWdIc>2f|B}IT3_?QJ7aG=2@!`%{;}h zSI`Bf@k!w;iBdYKz5#me_4GzZkM~doi|@s(Yt7N(cA3b1nTni-s5Xn{jKG#6(M1}d zQw?be(u31ch!r`l8%QCmz3P6^sWm$Dtjg6Q)|r5}X=#z|&Z z+qb>fcA&X!+dHQhoE1B0{D>~J9;n%X>Fx0~D6RK5u;(R?U9a*C)UI3qN6)|>kQGVk z|Dl4psel=2y7eue3da7r!|%w9%I@S8icnWPG%bkdmnVs*%FiR3+Q0BckVKW=Z5NT_ zZ~bOH#7WCz)U?Ko;$Le@O_J&%3PE67w$AI<<2p43YoQ=Rqx_9&?g>M2;l7oC)Ckj^lt^I{BUuLs{}uQ zcY5w)`H3)K=CCM@Z~1pmkif8D;=>H^lr|Abc9}{%tRQ@=JUzzcMX;Ui-JZq~xkLz_ zqN4kg@p0VFUH(F`%6`+IO6-SAw{9}d-%7nEwE3aR3Zk_CjYmB?K#!N2umGLp30LR2 z^nY+0L4XZIm#k2IO{n;qxAy%B5khmX6dr*t46`>ouZ{6qWRK`Tm&3g~K0TFJggW;o z=9ef88uiHOlIa~1oTHu>?p3~#2Lu#1BLCw(%tS7pZ zwJ%&pf`>Ec2E44c+Q-Ib0uK|+88O%*$JviIdoG{iuS!|&{)!Z}?a-)?oEYzvPdCgX z<{o1Pw=+iXuKs^&qwG{~Hf1FL)5Wv(Xu9s)+2~>xA+PWB(4WvBpR|z!=%3}~eF#I$ z*8B*qjX*RBCA!Va%Q|_>FF+kN!pQZT)W`67 z&wm4%l$zRjhiqP`Kqr2vbEzrUUoYPrnp=>3*W)x>0zNBv11krwq5J7w6)1rRDTzcnOqcX0VS`@+WEJ_<0D_ z>7n~`H;I>`Q`Gab!#A>Pv&4fyP~Xq4%=Zr|qvZi@pKWF+e>4aLa4E_fy@V~p%eZI< z7^9Wj`-qo)n)BKyciOM@^*J}1G7>mhJl@zsD}EC_y6z*m{ShlG!Das0Kzs3+)8FX) z2OvNF+B!xNXa0NQk1@oj0C>|>8-N3dF7rCBb4{@~+UDSUX^t@~`iJ}7Q$$_s?+a7C zF``7?Of}%s%nQn$2>1L}+jTMn-e&g;qP5)vJFNb*%??F@Sv}~EPvJ|{;f>32VD-ix zIOGz&d2hKBtn0&=E8)-nEO!a&TJA9?ddGn^-AC@_z~WA7);%n6-D56vTTkQF!a?`L zoi2GUpU<(-AiT_=%2c_nj~M?~+_ z)Ppl0YnL>ZyjH~@3l6% zHx>E@y$N2f*Ll*fEiLw@%hWeDhKO&jQG1!So{x=Oi#(}fv#uZ1fq&^Csor3(JwC~< zX@2@B4*h*_w81C>y3Q1p=Tp=t0U;}xs{(YG*tz_Ystq(=!`0f=zk`?ULZ%lw!Kvk< zpjH!RnBWFb9Z+IIdp|FFsf(KY+kJ7^Am_Zp$YV?M@fU&wc?kC0Xr&;O2~4vvpL>Aj zdFMiDj$Iq{_XrUorex#xV%xHCSzp5;+L~AWi<(V;wVRn9A#F5v1B>p?2&~V2j^g4I z2x?0cLf2?gM)O`E$?Ot!e(=_qzz`zV&quWK%k*qP#afdP2DYzN;z0pxqD0ArY%DZw zm;`WWVKkZamzw5$VA5hpVUyr;oe3V;#&_4>U%%aje#UC0#T;Ff!bdIQ;_)+c_cC~T zlnZ_0d`%bs-o=7uxV2j}_;j*)Mrp;w$4N_B_4CeKm_4$`=%(4RITmc86Bn%6IauH4 z^n*373?!`cJ&7M1`j6%ec$sQ!!c<^sf!gJ&1bSgdBv~tf#cF{ z{R>2Gw}6r0d`#{B%3C9%gbYR;u8hAiod$p6&o?*g
A@Hx)MD1SC#%@+x~$T|7_ z`Klu#`Xt-me7|7hZhK)XHN4YPbXVxEhgUccAK9K*y=cyxx^B^=v1eoJVe$1VkelA) z=&6YIo&RBM!#m3?0#0$B#0&BvwIK zcJ;|1Fp7SUqDzks* zhayhC6GC|{U8pbqXeSzV<&qEtUpBWOye#{8w1pOm5h@6S<+3tl&w;dni~j1KxdnNX zWnmEi{T<4O5(EMuegoHY;u%03bng7Y@%Da4lfpWsD1Xt)`1rFAa>8tPUj~1sdFfBt z{Un*#s}oBe734}Q=~)lPsMm>)$gn(N_E#02`L-da97dw*NxkPd#RHsXC{~Vp93JNdmATm` z)JJt)mud!`zPp|996C#PhF{C&3S?hnnKN$eUQ(N(XG^M!`>>8cldy*KgfN0Jp@j0wp4F9*rig* z{=$(jCVLHwZqnHOzFKqLe@Aim17iJYGes8oAp`+k05ef}+^1j1gQ_-9w=?cCoxqf( z9ar%wk5qmri!S4&doMw1lg4fym zws-GmuUZ*px0L$kEL9;?YxKLphn6}!N%!*SFwH|KlO4)1NU<*= z?8GS$4+h!zqx)n9`y>X$|N8c6V@u#DFagzaP3StkxjD<6K7W<68Aj&m^vY5=yro)ZU4d{WJf=wfwa#+Cfoc@!Pk!ZR<^iFY%IqY@NZ2mI z+QVMfwQG$eUYz z(_CvRxWBv9e)HWU7(f2?1)%ag1)C8H!k4C|O^Wr~*J}a4%z&mWgS;MMXCGmjHERL~$`Dz(!1l3bH8iIJ zwcyKcPRys`FuJ!zmk!UNGErAqEy7dN@X_)v*5KkXk$K%zz4?c~r_?nUJwdjEiq)J9 z#iZxHciro+ckMwQL0(@lNui?6hrJBLsNRWKDiIs~xmtpJ8zfpSGSz$afXeW4R9tuf z96$I)#0cd^&-!<-JQ<-jy7RiXt^o(5A`h3vG9L!vYP8vqkO5>kY2f}-sf!+%XW*0A zu4{cFOrQJ~!PPp5ycROJYcnd?aYHT^Cgk#HWv(7BOL{v7aqH~cCHzb0bFsqiwE_^V zMMh|apSq)@uO7gwor8P#bxhnAB*O55Ze;`jmh;Fk?lI-?IZ>$@Xw=wovTsO|=#-HN zr-G9Ycn(ugKIeplB%|YYi){&@Y+GhAb^mQ7c^1FNJrOso?SF60y~R$`4V+*fnC@UH z(M&|0ZXOrmI?L?xBlS&^ABr;1beQ(jiKpLBS&@Q=g?}Wz_5MrBcG#vS$ecuJK6V9)k$S9*t>|&g$-KoT$4G;MF@k(U7G%qd9 z-?^L&tzJSnt@dm(Ja+ndR9CKIGkK|05wk0q{UW~dsHn(mwjPmiZx=c(%CR$0GAIU5 z@4fbB3enOJt0Y(Wr2Q*#@KHo$j{LY!5$^^ioI^8Q_)abD<%gcT6b2BlW=5m27SH1? z%noLA(n--}KUOgQqlT6}GO_qx`T&;JMN80q3qWHann3gZ0RQqJU{5JsixS%jc0s0O z;a@!nq~0R*Zlt)ixXHc^F0-F&-QDW;8i};x5li=Ya9SsAQ1+HDPZ8nciRYy9w5i#% z=Uq2Ei>$eDOyAD|&Q%v!g{on?&|cnBcm-KEb4rF7iNF-XS$_eoiLrY}L{{0D(G+bg zWL{ep-Ug8qP>m}4>F8ry+5Ble`*_ezvGaLkEgE%5-9x9og*Aw0HLfp-~pM+%( zDkt+Y-z_@*F3+9YOc{AnUSHAG{F7PZ@9p_d`;Q{NZcn=C--1p9 z=EDl&OR%%7I==E~iTJuo?U4{umuihVTy(@F0P&liQQGyffqrg7*m;B;I<~Ctdc>>( zlOyoqaIvv-HM(5~dOx^0+22L@W&kH3wt?8;SGf3;=W4;4t%JjkL15uHLj!L7$Yut~ zi(?q4LDcG1;svx}aXaT|b)SNh^1Hx%M_)$=9ZwN#`bM&4WN~ko(Cv=}N<9*hs?eJ2 z;x5w>X0~REQNssc-k^!wOgs6z(`_5 zOrf>JPdkADu<_g%XNA8( zQ22B!=E0=FR+6_WapHPy>V<^7RdILu(@$2R#B*Vl(3)A#&roU8Pg<3gi9FQ5N*3pp zu>N6J1R9cB%e+gR^V+5^xf97A#$?`hgQf64@#%TdmPEeo-EO{j=;o6? zM0y{l>FJGWF&3;6*>?%8dW3@|xrwEy{3m|<*4SG$=KixS38|>?D9ai3-Qjrb8H$!$ z{?TYByL5w5@~NQvJWp%0#+?=Oi;$j$hTnSV5A=Fdf(NRaC}oqSWURlhXPUE^y^-(R zDz&V9DoqLP4~O~DlqO3KMd`AjWCROX36fo-`LQ%$k4sNW-cUY<*qB9pK(sLyc*OGW zF$&X$HGE&3|G@epc&=T&u)RbsNt&lXOzIeKUw!$p+_`;Y0VkWQDxVXvT$+_;;7blG zXbV2wtnc$YihlbrFh{z)nZrzNFSQ`+WyKL6) zIoPvF*x-tj=H;nPRWOBWs{Xhchc$0%bdX)vO;aAy#7ocORJp!m!cgMhEfm$VZ$QRZ zZDi|Az>|l9D@FhPx&+nl1Od2hBTlbrg}lODc3C;k$Fa*yyLwGSJ#9*<;zmo7Y;}@4 zj5MpN=q0|$1xDGw1%MGiMt!vN<>?fIVbrDh!qTT3(>!07choO!Xc;(C{bO#AQ>T*9;l7U`E-w%oD1?qXiANQUPm`ZYt zW08NjS{a{V1Z)P6F-D``L1%}HbRubaNMji|Fp*@wvTsLQqqXi{3^pRSp5o-T4KM9J z37dRS-+kGCZ1R-FnOf^QTV^I4Q<7a--vs+rp~Tr_v7L}GZS){q#FuXig#oYuYH}^z zyXMEJ4xI2x==STIZ5a?f>1a~M1Y|)*+Y0v=p-E0-75$ufSF_W2Y_VE{_UrEU1!Hg6xj0iU>3s{LSgP> zkRaj$DU#`_ZF!hSrY8$Lfvk67D{rULmF|K8`sx1 z6ZMD7+u~WY9PIvL6!OyDKa0OuXu4I}z|TGG75r|RL!5MFg_`Z2Oyn9d=8+5L;(v`W zq`!}AkH!GfL)thhuT#7oO`eQIJ>REFFcC47m9{Tyw*n4f#99gNZ0!sbK~*?8ZLpaK|l z1&!g{Jofj!Fp`Y`SOe%-`TNKt)?!_RBQX_igals5mbJv_-CpHolVxsUS0B5&!hWoI zD{->DE6r;3ZeNy`Lluz1Th|<2aeY+pI&1L&fX^noF&PA$Tu%Be@?c^Kj#>-qjA$^yVeuRv3fbap-VMPWZ*T$}yyH;6phy8;km2Va# zq@bG>J5KJR_=Pw!uu1o+h%Afx^a%08qZsUaL8WKd-iX|Bb48bzC5hj6l;Ls!OGv49 z)7ob3fB&+?o=GDo@*$Zt0b5PnKuBWNfjTn_9`xzs*jcp}Mz;CW<6sLYb7KY;;}|4) zc=$D?l)pEil<~zJyxP1{P}4h?*3Pw+i<+nBY@bb5uod%Sl z>mm@g+!HXIz}0B@7XV04zOdKk*CL8P44g7$BXtrkb^imdO35{`?Sw=l-ua zh!p9Tv7bwa94u(zgHpysW%OVv_biYZz3zG=>7L()(Hs`|q)=YJ4i9rW!=iKoSK;}X zKmzvU#%NKx3?C2ij*^XI<>e0nS$pg@I`q&cvFG~i3~7_??EvkT#K_W&HnhTIh4pty z6(m1zMckG6w(;|-C_A^S>*uC&y`r_@ID}jt%?$kPQkd4u0djC&e6Bn|^`hS-JPh+U zA9!nT`2M{0skrwKR!-E7IKPKk-WvNC{|-stdkFU*r2yZd53tQjlcfU6*l~R7XMI5lBS2K^&{0|Whk4w`@aOqXf5j|CF)GX(Wk1|-lS+h7^V7KO%BqvxUBENp{Q6gvdx z70J?^PyL?BrtB3}E;#~1Zeu$V_m?K?#3KicULFN@KJL-ypDre_24H6d_lj_ea*a%q(=Z-Zh@+s%7cRvkEvOlR6;5J>0 ztXaDF8S;jtS6&zy%*Kefpdn0lF4A3Qn}~RXI;Zb{jb_bjf#Q(ltwk0}Jme5$?cTFV zGz4RTu3BZZY)BuEDmwPlUX$MNWLr*W9Rkl5qItB^JjaX7eq4obwp8*_R_FTvJa*I8 zM@!H&m!zf0K;ONbPXAu)h3w4lwXqbD4l(JmYVG(+Z}hP+_GF$**%7{NXiwwfYa2cF z@b?qvN$RgTDt1r8N)G3$M$FpFkY1)-e(m~X7RuYrS>REoGv*P;U1% zN>8YX7RiKJ=!>np4O{7-w_3|Qpy8it8{(%@B?-t#WIY_8>A>VeLah(N*W|!1FPq@3lr@D z4f{$3=_tb&t4e#JCe#_-y$}{%_UBwmR!}{_9O8@0S7_C}nS6MAUwN}!aQPbhygvx4u|+fe1e?;d(Yy^GbJk{0&g8PdsI{w zi??7C-uv@x0A^#^yBSC%L*V*ns!6;K_yy|2W4@Rf@yuJ4YNV3+Kh}XokRL#Q;iT3ZA$KgZWDjKhF2c4Z8AA$}VEp zX`(90Toj*gu@afX6)E>dDNEaEq^mqf}ascby_sU5#il;{{J>* zL`12hOtWB9ubx)JO;2*w&A&!$j>-1j30YOD$JipTFKz6Q+b1f2x^0Hwvr@Sx{CJH3 zYgI^b_GhS||FL&Ji*v{5%>Z+10|p^x%%Iv6S7(tbD#-vi>WFdO$MmBd_nj{_g`4(9 z)9~fNwG;>R_IyridUwZ6Fp4GFt(jrZY|>ZI&z~h!=f2$4qSuaM8h)i~0%4xRQg_Fe^& zcu|KcH&g3zTf<`J>5D&(O$!RGixd>T>hSDh;j6B?d`XB3=#VByzH4ht?{T$QHl%ym zWybXT+!c{jCU;*VLS6zfloH19g_o!|nWnHLc+!+y}IZ`AO zmT(4gaIs=lxUZ%?0ykLs1}ru0X&ZeZx@QW6zyv2A)S||JIt27tfvIo?-fHKc+e@+S z`GtLLT}oiOkSL4s&7Zlep&A1}7b@{>2%IXj6Sj zn^RZ$;SkB`c7@Nd!9*}WEIqOGGdVyY8fI&=D_Jo{EWDV8UkHHjKg36fJq#&Luq^8| z8;1_|Kt|^Uiy1LHCK>G-;3v)1_ZKvCV2fDWB=Z)zF*tD@N@KiyZ}nw_h@eOTXfl-Ec?{M#TZ=!VWa98gKsYd+B9BF!ybJ>NkzNoi0{ww7oZ{ zK!tKj=M<{R8n#C`|LNL|+saLYw_VMNV`#pbeM0}ZL^&sdgq+CT>uYJCm1IS;x8AhK zUo74LBlF^@@gdjSLG~(c$oDAH0;Iqo@VM3tckg9$wO?h+*gV1xIL7%Z|XR!_{ zuNS_gA2$a}{_3J{TE2KU?ecIskA(TgZt&yuwdqZ_6azdbmDvsSw_K*=jMUymo4rdW zhO1i`A+J|C`BAF#6-zp0U7ASvQ95&h4zP~XG=dckZ1NgnS7b$>4rw@GNNULYj?)Q@V#L{$yRe*coqceks){!r5 zON%1dbP=O~#ngwv+X&x~3lUt=&`sbS<`(60N?>iAYW5m^uJ|FqN=7X+5~)~8ddeWL z`R!Do-q%0vp9mb^H5!7V5*B?AmM=URm@X8hegT>kk}v5ipOO)%8`eCJ@% zBvHICJNEon?0^WgvHr6xWX<9gI8{~9yyAXG&*f)WZy>$nmeRQMFc!@)Cw$*Jyu`Qx zQfh|jqTpWcYk0WZ6OFBa zfEfRdz(DV502t;*;C3Bihn++QL{^Y|8z2I~qnj9yQ~cW%olmCVAp$C&xoI~iFzUIM zU;Kn3ENsWH7TDJ8RYlg15V>o(i4rxkeH+z7wFKwa%?alN2Mn_hjSP$14Fz_S{yQd% z$J8_qPDj2V-g3-FooL^TrzBCj)f57<(U_#jI^Tqlzb@^|=ombWrxVUO>fE=vE^ZV> z$mGzs{yTXfso}s^)w>XrwcL#)aThD(9 z0iWPkVafkexnl)Gj}@=$775q8I8S5Sh!be%x@me-Tmx!us^ zmUmXy0iXq&!xMETvonUQv%w5V60RuLxhaf(n@#=k`^T=rop)M5N=uhEZrd074Za|> znAq*6(xU{$``I!GCx6NTNi!9r3NMBO6aBY^!}6P`J>0}iW_8LOtW5^kH)v;wIG7Rz2XMFg7kWP`4_oTiV?-Cv7N4nnWQau z7FxDw8V9A~D-&#M2Rm6M5MRTwUw_d^p9aDCq(udO=Mnf!$m_i8=km(4P?mE}gJqx) z-ZfJJ*y=|0=N;-y&hfTci$wMkEdLp6bfSTy-B`O$r)T_m?55YPx=QR>kO{tR53s>r zw?5|otSfcE0JH$#P+M3=RIM{^k+^2*cTjA@gD68sI8BW5Njw8dR1i{=1qvRv(XTs2 zzSy`t=V7mJ0>I0AG47?@KMOue1Z&<9aePIhn-kGUnE+Ej(Z|+RtpmPZ*BkSw8Tdpd zhsvl@-MgUITlUN#xSYl|Px@0=I5pywz^Y7GW)yiq;9@+QXN3#VDbq$<&BE!aQzm+g z@*q2NKPpAdj`>x>295AQ+ZJEyn^-#~NVVD07Ba$KCdS*W0BKeWR#uE7(H7IW7L?dP zhd;(`8$y6o-ICBqxJu2;6A2pmp<+E)NakO0klUT|59oO!!H>d*4P>CWl6WwD5qMrj z4SIe&q90BC#i9?g8cYHcmGNnLdXMnyxqb{s62A~Lcr5JtxABveDA46K6vZ$S@1jqRDPY%=%J5m_A<&td z9H(}?&}#d?@q{F@T}FJnNQ@r&eo$_z5vk{||m|udYpuV%L#=~kMxPhp#_639(^0(yhnRQHimwK zxtckDyjLrxz`==LP469=A|Wra+GAKJTbCR(3si-xwMpFH-?Q9%(G|A!V5JW_HH-Wg zr8u7V%R$)S6SQI}jY_^eol!u&Qu<4%2J*2KGlvpk{r*{MX@k<3SByiV4S4#=6GcK2Qv{Z=Hb!%|unJqZBfcG-s{BH8ESBTyn z$9pf`Ri29x^H|}GR5?T=$5#%g=$mOUF$be}Q5CJBXD@CsHDW?+G{P#6zFw)UC#z^c zS$N8kYx2!^Tw}k+t8kOUQAoo$Fu)AR|49zVJ{Wx_ob48r%aA7q$KnLSJ;j6Bgl6x# zryaH7BaCKZWx4@xR0v`!f%SUQzK?3te}_u3l1F5@VtG48FTa9;Z_mS`qO*#>o^YK& zi=&jJi&J|NF&G*jh(39!LvNj;g#$oU_6BnAikv@;FoGmVaXn1QYITK7*8U^Oo}>M+ zPkB=b*T!p(8d`jvXVK-LItNA%t1{+jt1Pt$wda@aIr-+ZOB-_LUmXJyimqz=neT?%%;HQYI6^Tm3L&vT}#dBXd`DAi-5|LMF!s z?PHAQK>)rk;{x>U(TzBF6U$y^@mb47=n>-4{n1S;!V_zX;clO!(2xocZ}#V?c>W{R z-Dz#;50_Sq-D=MBQsCkKz^HxdxNHaJ&*FIhT9jI8+0%t}cVN&a&$+G_m?Q9TD{R{K z1y}^1<)zaj^C!u5$GQ2f++we*y8AOZGDf*_Aam>taqR`Hk!9}wK>%06h=HJ9`GEle zdD}m_`nuKg6-i_xTLX#})uDC&p|u$rLu}I}3HWkgowqaGc0QN7y@uDB1-3|d5&=j# z$$tFx1}=s5K2)ID;8U2S4a?Ej7XC{5Bi8f8l>qL~`Hi`ZVB;8dSkg&!+(+7#*D#Me z$%xOyt=U=_hX7tLFc+}`$@S`kozy8&kl2qiVPb=!yTe5kj`31o1bjDdMnP7MK$8`` zMnnKYGN99KPJQWCuM$hKovK(FgB90NV3iR`rY2#1C?P6Z_?NM&Ti3{#H0D#Ev%YwN zVLrF+IWQi5;4lWY+q!#ve%b})ls?kI)jvCbx{VpKlSNcY_q$f7N5w1C6hxkWu>G`e zFYHpV`3*$chI~f8jFbv?=Q5qOHVyOK1$yFWvMgwZ^RoA5Dcal)=1*@_WWFw@*e%(E zfq=gw#UW@Sy#E5d1kVj}Cdc!NeK6+N%z`fjjP}v}#>N`x@Qx;U(UEkDhX>4{z16}e z;Af3fX9NRj!>veRLUC~2H^iG6s98)V7C((w8xRunmUUfRIKX6Q2zvmWtwossUyH#$ z7Sh0muIG!kWdltR{`;g&m7Em{1~D`)o;f5YFMT(3M*S@ruqilG9pCI-xe_aXJMQ^T zf-hmdaPjT;Cg8lpt<7WchfI;>&Tk%sg&EFM7B)cC#K;3g#B^H)+CI)inTI_)g-6e0 z>iwu+(B{$xsm*iYQr zEj=y`uF9?Zzl0EaWu|}CoLWFYxK*o7H>L3(`d+I8J%PXSCOrY~Idz?F;yuC0c${QH z?L2$y$ZV+e&GU{Gujd-KA0L^M)z20a|b}@%GJi{kj!C$wX zd@r*B46T4l^vgO2K`GSaL_Qlb=BhtiU+>x6q6m1b0A~jdS|O%0R(28?pLQI`)c1Ch z+)`x`K`SM41Q&bbh8u4?PcsL&j;5+4p(!5`O2^+meM^Cv9>XpBlys#5%BKZk>U~FVFEiK40nVS)N z&oLsffKN%mR=M)F;`^l=3r$%wNCnk*O)MR@ z+27FlHy`+eS`*@@&nSnegu3k`T`>puR;)=3y!0~MmQC*Cj83vdd~OavB$ZZNS(D=k zq)*llvn9Fkx3S(luNMH1aw`&H$Mb5C9{>?i@X5<6O>m;ZvEmy*M$ zMdnOK-rAFAR&rDv=tZ9gkFKT=5k8_u>2F&(uYpMh0A3@<4;YOoeM%{Uh_Yr%u&Lz- zBfv#A$(l=ebHo=!GQP;y{S7w3>cz*SCt1>aKHRu`G5Qb)hRt8l+;oMjcllXQF-&Qs zIG~oGbTmycVxfCmen&L~X?5CY2=fA%adn`(bTFB7Hk|p-w?vzDppQCJiRi8c)eSoggh^m?$sO>jngagioeyIfB7=ka#` z=*)9tMoyjG1E7?xPBk!t(nO}oKdJ`D zhl2#uIFISw+J_#J^NN3-xQED2HBQs%ACS^8w<*h*$g^^kWM;9;`(I_Cp!{`H^K))+ zJN>tMQ8K)Y0WBFd$pNx5OlyH7(-WEVPc=Qy6DITxTPo{#_(Y-=Rk`=f1c2 zKcxc`FNMyg#PI=u#-3+#@(>r9l(bhx0V%99SD~!QvPXkM>!MLB-Njg~bY~#xXC+?i zBLe9BXzvNHKz6V7nOJa3-g(z73dZd7ddJ7Uz)1_aPgMlo8I z)tDLoIY`UX9g8`sAFxfHOSX6U6O~G;7OO(wT~QvyZRBF5(_E3rYIl;lS6`Hu*Pw)h z@5unqcd|W6v+@_s{}+|D+46AYY=QAx7RBcNNlBHdNr8I4OUkm>5M1-#>|BaXcjasXPgG{w z=yDJQmUQN`ZxfhpYa5BqQ)~c7W6y$6J$4R$HBiG#|BPq%h;jLP7OG54Y#73)T6M^p zHG31nwz12u!^cx$n8E^BNW%u)3&CY#cz_r6?*8DFgl|z#B_@XrYU$%2SDnRXo;5i& zwfp3c67nje`h*-VP<-&@;bA!cwl}j73@kyc)9)%IjdqWx$Wd`If~OwH2LV#bpK~2a z9+C<*t589%j5l@vzUubbd$sI1(VbVjf!so#&b2$g({T@0oM=__ce6m#^dvkPNWnbk z=J=)f#pDD%uxM?rF(+;%$}_u62rk#xzzlAYs^TDT*y8fPGsQf1B7uJ9Z3tnt1E$Ur zmNbS6=+~-wyL63==Aq}9*r3;us2sk`*e{?8ctgOIy9JzNhcf=^Tvv45VmY_X$S1Bc z+ZUni^uSzbBZ1qKdA7&nM|s93e{J_X%M-KlFPg)H-ShPCT(C6_aq~+tU>ao+(W7U0 z+nWn>8i^3s2NP9luhq9{9;O3V?w3D)xTO5l6!Uo378D&v)Ls{T_JvgqXJ;X0a+pp0 z{@ReTbgWYgg2y)Ph>C=e&Oh~rQom``-Qz(i96H*Iu-}fTEnJ*g)NWP!3GN@FD+YB% zE4*%1FbvVBrPcH#NNz<+%&lcuq}G{alV6)1#BSk$8K@doq%0{Z_A-W(m}7%FPTu|_ z-t={xDL7yQ)p-QYjk9@Ddp4XqeK6@!Rm1VP?uGCQ%=@`~_Oe^MSJ4f4n{yB)J+Bk*iw-LT_hWmsB-({POnY8VDTK@zD%dJB;~U&Fz-O-sF;YA zBiT@j(wcifgWfDZCJ-xNo+n-0i5s5f&BRUP$z3@MOZ#D!2X(?;fDZ)r8XUNus$q1B zzEUsaEXNP8&6s)UNUtt7TB6D$b+5cfG=}+s=Ytmz*gBe9AX;@sK6G&Ma!+rZN(CO)#_9aJjw^r~A}3fh z4}AZMu+l{frHGQBa%R`9DAoh5vKj+C)`78-Fuk48PJPYC9Llc0lOlee)Qd$UYaAna zzz$D&lQjA#z-i*vttG1*#ZUu_)Etb)9BisR>z6BU=|3Xo1y5{{lsEc6w;P&syMKgi zjIY5q+kYJ3LmFX*H&8cBR0U$qA@xHy>uAFz`&1P*lD>5AWwFZm=juV8QYr**wAg9u zDOP85ykoe>W6H5l;i{m~l$SJhFAKOzI-(%M3nmWy2d<%L3bZD01iA=6tae*qY>25e zHIWE8n4}8@2QcJq43^3a&F2QdS>%BtcK{;!zz5%Xen_f@J+Jm)(6%^jU;6u_Ez_gL z?JB}Z#NC~qA-Nd5xyS9`qUWFc3pKUsz)}_vsgv0zvFl!1QS{Z zDziaN|BBH>GN+=B)V#A6j9ywGm;JiuhOf=|%0SNH#5TdmdZ|L#12we1Y6 z|8pfhYx}9yI=GmZ>X!EXTei@IwR7_SI~9zR?{KU^WVpIv)9s?2(a`@j1#IE_2a-gU zq9B3D@^|FJjX~r?2Janvm$~-Yj`pUbn!VX3S&xpC#JCL1Z2}4NoLvRiTQz)-dwWaH zG8qxM6kVM9L00{(r%h9mgvRr{y}MV$AqiI9#PgsZF$C6$63LqXJs2)A)l)pxSDlvy zFhqbv1iHY*ez%nMP$FHU>R|Q1<>E+Fgv8UM+?zWkBaPhr;9R_X+s4*T0}CX_WbKlq z^@xe-qrsD)JF&cPdT4U|=jUrue+K?7My*S{Xf2r@c-)IAYD7vuZ8ta?zr*8ohqt7f z?{#y6EaUtPoC32xUswK<`3gKcHqF|GN3@8GNsZn^&iOND`<(=2a7V2);40;nehZ3;~ww0HY zN5Ay|$y?;?3-M@)wvjn=Ab58%^0#e_-Mzh>isW`^aTRGlsn0`JiijshcqCXS)twby|c))pgQThIo|Zo9(z~t!OF?xQvC){w0{3|F?NG9b7qYleGgm|VrIY9scATrQN6oPT&zwJ{*7qtc2 z%DWq2K!Hao2iSKo<&+#x`R>fN+m}OupIO7Dy2~vi0LclA!n^!HY7WR&)R{l3i5~|i zaJ2tstXsSzc5kmyCVV7Q{<&D_|0@TcgsfCrdv=``9Wl6-?QyS%i-gk^)A;Ye#SmLC z>#2E^El-))^|WGY-wwy*Uomeuy{-RAIoieiJlJl_TR6Sz_B4R$Lb`!}!6*e?(TeBM z4V;nMCq=bwkg!LUd2&0Z(8q5nusTTf?~>1I3v*r&%1qJwRn;b&E!Xb!tG-~2&C757 zZKx@dPEKt#H3melsN&mp+AqTSdcIh#QSxmQw_Zz^_D0&Gwly&P_|n!gmV%%vY?@`I z7X0SasrEe**QT&A4~{n@dfcnGo`Wgm;JL{jP9kv@4MHyP@j*d0=UusS!2{!~4gU>K zG2&>jywpQ{|HKbWtro@}Ov!0VhLKtTd3|#6Qhv){lEr&uXEMxP)3O-!8eV3|B9sv% z{pfH_`l+eaeb!MzzJI#Wkqx67Y1DtJT4@-M`f+S!1*yP(IXWGLBS%w$!O_4e3uxg< z>!{lNyI0g>fplPIMp7r>Ql&T4bb}i#kOxROGA5t1-FxRS74coh7O4<|TaK54YuDYM z1|8;02km}^9h17Z^?`Yi>|l)oyA`QMOhyNxQ;q@!la`eUC>b7RSZ=lkG>BOf@Q93e zr{Z-AhM z@H*JxZLYxe>nZ~7B<)7Wfvf<4Hh%A@`}*dY5OjTBm(ac>MDaGn=L%Z=8A=cgc>|HX zKB!yliMd|B#+2izAY6eJ-q%k6WiG{LCuzUk_KKSKk*!)3kl%w+7()0_l)+3w!#ko9 z{4Znw)JgB9T{4uqg~J5=Ad`poTQHoM`_*)Lmc^XnodK z5Du580#bQf$Nwqqs{*Qeqc1NYAs`*np#p-W64E7&lv2`2Bi${C5>ldqbV+wfcZifU zQi6bVOV{lC`_JRN%#06G7tXog*|FC8&e;pmmwz!`olbiw!S8pyzgzyzk;wnBT0mJL`@Gn;@6AvpeC&dPLQh`@PXN`DxJD zVP`eGiBDAz85Bh7!n0iP@GKXN1{bNaDeT2Rdl2z5#qEfW)v{+*_UDIFQfw ziGq`!GU5+%EIl5zK=i>53~C0ar?&0c`aPH$L6>^kXQAn1hrAUa6gRd%2KIE-+wRCe`^-01P|iF{`b!6f8g&Ey2~{BT&hIToQN# z19o;^%4-k*2!z{L|7LI??>_m0o%ri`?d{>AzO!1KtMwky9+M{7h-q+i70Z`#g2*g_ zNLEdHBIP?DRLO83fSpGr-a^Fcj$k|D!wLhxR9k?qWV{proEX1oWkUQPL|#DU<&A9%jfpoMt9S z&_2SgZc2A3cKWa~q#mZ#D!RM({j+i?hO2X#Ww$j0Fwe zVW^WEfDgtHso=s&iIy}A)`m%AfoB0Y+lA~AJ_YDUlaWkxAHv|_X6Vli94Ijz`vWna z8|a$M6SL=M(MmQ03b6h9--zsE&UeY$zy7!DX@|}nE!&$>9;6GVHJ0p%rZ|!O9ctxe zeNq%q5sl!9OtYNAP6CYQDY%gYO-WZXu)vWRK_X zfn=e*>Tiv=_-9>+!Nf2O>7xh3v}vZMrZjE+VE(3&Hx7nOCXQ$g!1D5s*j$X#mY73LlfAM z%_b8}7F5}_twC#+l=*z;^SvLQ^ML|B@@!{$>)xm;DfOVdNyiHM4ak2K-+cLx&3= zG#mzU=s8|tP{U+n*qiB!#;kX%St`lt&yeyLkFt2Y^m)J69?7$tXmZdA3!#Q4_X=?xhlM_Yy6;_ zV~ruxE)O?$Ei8HX%pJUC;c|I&Iy6Qp4KxC75_YLRS#W$l_^R2qV7#l~=IQi{-JC^Z z*mlY{r;kx5e{WP2S*)m~tTIoYRE;;-B-jImiSOIFqmO`r!^K}Wv1(VoHke6HwidGS z;fC!-rQJMC;gU#gSglt6$$V$YowV`RL;h44aX!U$u;NTYY^!dhAa^+8f+mY$v71Az zA(w3tL?ln*FxBOiRO?Ao?KYlX@vC|Byu-QxEZD)G+kLJHCQFdh)Z0vOBndd8LLy50 z|2H0AdwUJ#`_>@L0X8{cA?qCb;a3}aq*u21*2owWg|t)rhT3g6GmNC)bV;5`uPNds zMkVG-HrCfuJhy98z0G|*M4d}i*v0eeMT3gWrmyW>G=+L)m`WsE`=#XiA{LBZMP}@G z#bw#A+qIv?KRmj3v9tXwd0$>Jf49A4g0lbII?a3Q8g0fETh-u}gX}cltND$g-Qwyd z+G@+`?4#5QurPUAZT_9Du7tNawus^`Q&okzfy=i}X46XocRrj6XT{)41K}ig?s9*N zs%`wSG^q!~t@#n!ll@wn`kB=uCFQoh^_sX=!kB~<7{M8CRyW~4xBd+YS}dQucIR1C zxCQFt#f1;UY?)~{#)05tk##yP-`Ut~D_@LdCU4iovsoeS`5#4HXe7sYDt@fHiraXC zE8e-P^k)+`5qP`Q^BcH`)tMp6aUxTaI2(J{vd_0Oon>thEi+hR7dzKqEpgR-L~ObF z+f=q{%^srdT~{ZK+|CmCm0>KDbFF$7R4mRxhf!m+aT_OgPQcRPl z1``SVCZ+FwV#9Y9lDX^)rw?+v&^x9msgPe)C7!@L5zZ}^=_|8giJp6x89~v7x5ZkS zG+JeAPXEJ<$M(H)aOE=$Dn;TxJb!u1$3y@8T(_=%@~;|AU=xZI^J91lZ?FnKXBQQZ z>7jj9I#KY))iot_wGXqe`eel4_|)BY?*)+C8=o%SU*t%)x~7BFTaDOYL&o zLCOG81NV2uTz1!IB44e(VS7j&c{@S_;>6QOPt*sM`gRn?bk_!{7gomGA z{C+;)VdCam<#NH1DD(ULsp7;RG?KCtwTD`!R3Gj?%kH=>BIDl_6NAOacV?f>-;zy( zdMUUdV|P=5?PaO0MIgt3CRct%$7PbE$eydqhpsP-pZ|8nKP+b6w7u8nJYsMlGy1w$ zcTi}H*IrJ##85OlaD61^4d#`lTbcvb>z` z>%A2uaj?Jt#zpEBH@FFn?eRfSNJt7fyI+U$M6rIbi<_HUkf*bg)0@hioE72%VnRYf zkrX(clhf0iL8h^>u~dBpGh35AJvWmDUA_Le-eF|S$hO);35$&-zPPwRAolk5SU5Q+ z;yE8brqI#Rfgy?Q@5GAM;qRysSDqly5lkv6xCj;wj;;^)6n9GpvRUulyQf|L@+P7M zETUtXl)ctn?=mtn&Q_gBlp}V*0*jH4k1R(ewF_)bV^UM2?rUVH!MwN{r)6wD`?>cs zGgD(aD}7%wtC{iPAQUMpj9@}sWiw$iUZ^9dpdjhwRNl46qLK5ov+v8pREe#SkPtb# zLFE9(7&!tOnh5w)3>+MI6ciLJY-~Xh5x2aKHbcSslaZc&UPmhyUhT3wbAv^EYyWUz zVF3#t-+%l$1H9?(T|IObm2e2+>gu;uxIDa(=YGO;CnBO^C;IAA(%54(|KN8+a9f^tY4kpJ`Qd%`&q_c*;L)jG(O8~F4wv&^rR4pl zi~Zh^_wQ|oJ%@*fOTj7k?!9{pz)GU!?yk<%K5T1iBOoM1AtsJx`lQ%W=ekkqcj?s# zJ`a7j3$@E6OD1*`?gpS>Q`DGtM;b4*1;a9GcpI>O`qLJSQ{%9Jnvt2gH|zd;p_ANj zwEiM65HK&d+ z1INFRva&J*@M!-)ghs-nP0pd$GE?i!5Z7yLYx^ErlgZCCiPGw783O}a@Lvv(WmaM2 z=O?#szT`78HC`>Csw*g9^E`ZrGJ55taqH=`MwnZ;yT6Z$ zpnmLh%5Wy zzRn2i`aoJypUKTbdZd4$WWe6hw7pHE9aS3~?si(Vgo1(s(Qs>PtL{OlG$Zb9E`<12 z$u}x~yH!`(Wx5e&$HgpN$U;>X62#BVB4z{u9UXp}TVXr6hUarfX+Mzh@DM=ELtM%| zeQI~)Rp|yVZkspP($a#w&XHe+Fudos7cH@Wc-RRS%3)=IW+ASG??)mX;@R`(Yd(?X z>ak~1`D$8ohsQ(t11kp0%V<y5A4rzw1&CSAt|Ke;uTQQDf zveuayk52SGn^tjJc{vdt9^UTpad(z{?EKWM!47^~?YAkbKGMF`{L5wz0LLxVTtS_m{6+|Kenssbs-u z016rb3CU=d)Bl{)Xa>||g&GtuPtP@8dX>Yt%i*tzY6b?yZWl*e)05!L2R8RnYa=;} zu_~gkV+g&U9Dcn>T6TI2DgGt^HTTt?f}*07t}dnD#hz^8i*HYhzGiZ}Z_f}8NA%B^ zS5ySSFw&Pi6#EAUhd$(^(O?^Va}8hgB&`Rz_Rn!ub30jCS=*qjzv(_3=u=G|&^9oL zgsN@2^gYJG%}vJ9k=yTliysn7oGI3LW4s8ib-b9rU&UB6Z*s`Y3=C6u2LH?_&tKEYG8z&t|LsB#n>lipSF7G4TrR8Om+{<M~NwLiS_`M1+l!_`$)1A1ba7mt7YW2)BktX037PN*b*S5(9f&6|?u zfD5YnLfkRf#gCcaQfu!p;nvgFA8PjZFKWH13eT}p@jvzOIoi}o{-KpzbpRJj=78Iugoh3i5)v{XMG)5K zor;QzsjH{DY-7CYPR`D*Udk{l?#;i;^JA+1620$(Q&YOlKVoFS=MG(!$|&+S_n*Av zxQUk=Er?*0qWwV#zCBYuUq5k3#HT+!%r`--2TJ0UaH^t$z#IK)ugT#y8J*n!D4b-XTT@{@ldH z9Zfj?(-|&VS4Ly|39Rb9{;j@-YRqu&-jhi^b>gut;K8m=nLnyeG zg}=kqR97b=<1~11gBd_qTLQ05f?0qml)hjIx9%u9`%-)%R#t^vDQ)dZ)6{xiHT_#2 zzngq@4`!SF>BKJo5eH0(xJpV&x`@8ppYS#_`$~X2_FO|F2(kr{t6v&{@?%kBAfuwR z)bew&ra|m8a_HT1%gf90{Pwig*479_N%NK9)r$XB&adouy4u=U8`&S@;ua4E#mEP~ zvWkk*ie2oY1x$TX0DzgWd{Oko(lYnw1uZ%GJAfHuy?5ez%Zyr4jg2-F?VIu@3JZV! zR83d31T4{Jz>z;*tRJ4pZ;y(|R{GLrI1{x7!de^Nu&AhLzmxucLROtL_P`(`8Wdb6 z=oAfyae#0gq?DADI-mq2Mmd(MO}p``8lF6P;;|UP|Aq=|QaRy|qVn_e zLv;PwU1$#p4-b+|7oVV>qYmu=ph*xK6e9yedp`1$#<+`liOr1YN4;7>5QfjE5j z^!l@$(Adt)i<7;RKjEDJ{Afz#t#P}dtE%%IqqWS|yN`{3xBR}p-0Nx()jB>-HvP@M z8{#AiVrqU+?7AZ-)lZi*H7E#8vq-m7?2R%BB_;M3rMF)dv9y$HrqP?cK(i?D8Ea=4Dckz;-u`|YfREcrkI=>_G$OWMXW{=(no}fYWMs(X zyyqi_PJ96hJuFB&VE&ktl*r*>b-BAlHTCs(1O#pqGb#PFN+ln*`?or@I#EJ*1#X55 z|JFvn4-C9jVhU<(6!G!(<+dJW0q80={y1AX@ohi=LRwb#4mUR;;N0M{GHziJ5kgAJ zF#g{@u`s(THY^OAp=b~zxo)0UUSadk|KMtga%pMlmkzhn0JX-n8V5+iml*F*u#x0| z8iVEk=7%rE^9u@6T}c6_qe2gHeTz#GXg6Dz{^Fb6U>&P9G}U)1qNmb}Ws{TI=>yQv zynpcCVe~qyN#q`Ss0l3u>L~K;p&1R<3BqZ-W@nKejDN=Z#Kh!JMKK0pjKu%>{GcxB zHUjpPmXY}bGkR-$&-wcL`hI>@Bu926C{a>SDJgw?{rp6cm=}kfgC4qMXJ;oM>DQk= zk;WnkdxmTPEeXgrTu*pxG%X99Eb)AMu4A{yO6@4Y`yF8+y zf&iE!6jJ5Rg9o_4b-1{>hfV~|PT_Fv0G>nj>)jYwS+P$~PfNdjlT8)%-CcM`*9OdT z%k}>K`;!$G_#a|pkqj*%fpT(sy1ly_v!r1k+rV>~G(gr%(h5`(1qJ1{klO>ex>ZenKp~Kh#eMz#0A~Hu0DJ-d?QHTrcep%r753OgY)yZY zRaGT`0Ks5pW?raT8Axu2vvyn?zDGhz+B!8w+30oH_MYP5{KiIsMzV&6hMJxpE_{HK z%G4?`z`A*}6*?D{?~ZhqP>f`{s_=#afrzryTU-e{I}QXr6B9;-dB3EZT1;0%WMt$C zz}TU0_J$GNK#;?Cny+b{Y8zUe6A}|mq1@aSbjjUK%0@i-WF0_6MHN0MdX9@g0*#L! zKN`WA=^AbTjfkM)&j6x%7@3E`k}Txj1t~QeNkv7q2+*~(yc`ulLQamXeX>42K0!NW z@P@VP-Pob^R{fP%P-qK8$9XeoNL;4<9*C()YaqJiNcNRI%NXJw6iVm6eE_Y)y2>{< zH%nhl^LcoBE&yg8KKl~dX#xxl^^R<0q5A`7W=y~#Ex@a)#wie9hwH(&sQ6mCy0Tk+ zq_e0nSVq@#F<3M;HKFt%BM3_S{O0C+C?kuYnF3wMK)}UXfGg6W$k~{sIj}xfP-fOk zh6s?mD=99HfD<<|Hhv8mnf3MS0=z9Gr~C2PWtBkCZ4(Rey|=d=T9&G=ZkTc+9|}TG zPmjyE?FJ$MWCKYlDU@7HmaVBOsV7g+5os2KDXX*f{8Lpn??y+TB?)^H;nRuUK-|E< zFgZWkI-G0f5xqH zQE7!e5C~w2UB&wKkVbJ{DQPt52Jy;oB6uUl+iuT`~ zZ=EbPMtlE$)H~x7N?2areF#uT2;54W2|U=Hd{6Xz^lJ>W^f^u@0v()e7(Fne&ci+MOJqUzxOt%gobk}=|Ab<@ELKKfI36heMkOv0( z$H>4SaneU+bI8aj!V;qU1+Xw%Lqo%xYbND{ES3ikp7m-xdzKad$m&D%N)^o69~~XV z>b9S$Nnf37tZ(b>Rb1HGDiZKMD(rFwe$8@ryu14)GIuy9}HVcvaw(_ZNQql;{%w>#MM( zr6sTB**aH6LRwmmC7fHgo&&SWTaHoq8Yb#{hUIDApMd1>hd%^eR-@Y{Ccd=}+Ca2g zAJXyLC1vF1%CW1Mn`gI8PrqO{l#>f#6cVa8XoSljEDUj`B?R3)=V%sEJk7utNLdyD zc;bEi29GiWTE<~I%pUcEzkmJ&Li|93)7A*2y>K_K*MozR;vj}jd&z*wNI z{2xFXNh71Qu6>~9Z>>h)kpjs7#IJL`ahy;)R2x^$k9SJOmG_`U@@o$ud*5Vsy^$v=Ihl}@^xpf!?|pqpC-t#?D9{;|l_Ur# zHQ~UAp!n1o=-iQc-}2)VTX6Sp|7#Ioy_Ms?XJ)8ja(Br@(VvBd^zmdSqR>*eE!~=$ zn%w0Ih)T$p;BMFERKUeI*S^hp;bdoLAFd<+D5x~3xm&DfP#mhp<3e1z0sB?~dNx5Rp4g3LPFug9TseF3D5qW@FpABp*EP~;0_P^~)3!!yt zY?Ohra#Nq&*w}dY=x97)VtANnr|~#t*8||6bvHh(FiRFdJdFrb#g8CVaNLk2B_%yM zoG`5VdkY5#I(1{0DQClOVD!mHn*oLGuv3x3Xma;kffhmp(kMQJO3eSQ_NyUF%Ut$^qLT|nt$`#LXP zw9n4cz|>&fK`H68g-52=RZyTPlO;F*{>3mgH3eN~X=NodKVQN0q5t#eq~+!1(aFgX zaMYOwPhw~(PrSV9rj%8Na7~9d++@eTo)sAWLd^)Rt@R8tL*|QIGoZGJaYe?MG>Eb9 zJw31WIAlSvs&iS((2T6sd|&r$Fz4*7j+%z1idN&2`T;w8)n6M+>wh5c%;*0t#KkFPMfwsAFaL%sf`HWa?8qFw#=8+2iiH7Cp>2K zgic0A23Z8J_M-fauCFd71MbK5#>B^mfau|K(9iGS?%uso(i{n#5_nLd{0bwZD@d7? z=~L_JdKZPzyaAg$ql(K|nx9AD9V8M62;MpG9TCtdIRza5+)&rh7@OOGE>;Gr*XCR!m5|#e zLG}k?wGnRdbWO!LlmZY{K!CLvO2!`^RUdc{Q8}>w?gANBv%_T<^bDPOh$=D>Nq=%p!wkKmG5E3kxVPh4hP3b~R!ONKoG*n#W%sC>?Zurjn{ zz!)r_ALsWPjS@+Kx3(c>g(!Vz|1*{dTtQPFm`U(V}18yXvfTRS*7INEBG|NJqj`Xw=y z`;^_zc6>M%mN^I=hm2lWm>R_6T>f@hdDsFg`ZgC>UthmVjYg8u{a+=5nrB7Rq6?}5 zP@9E4D*FZ$abH$zGqZd7`T3QfQxg*Mt1&{dMZBM3I`FL+O?C5v@WSA6wj5`Ogn&h! zy+3}GIxfmAIBILhPwjD=c44i7bX(o}xd7x2Y@5j2R8*!Xy9>(s*Na5qok$TD3biAs z-qd1#dNy;A7WudSj#Xk35v~Eoud{Kznkl8ft5s z7r9d{was|p&?Jx3<|MaLs;E9Yi`uqMrUGLOmen#x>)V$0b}6h!Ai0?jB;}QL-sj}R zAIVW6uXBgq&+T{NQ6;RAtwd=4SFg_HCLpgN0ihL;4nf6g+Vy}92VHU#Z%PCIOILj~v z+*iCyr2XPWW=+j)c>5m5v+hIn?)CuOjQ5v%RIY+7Tc9Q*nHhkOnR<78V&KDU~`b zv{~p{WUQbAud0Hww>Kn9x6qC+Chh0f)TM8Ed2#V*`*8o4Md|_w1w>sMNZJgAw&?gQ zl1Atcl$$yoSv43fKvjfCL|L<89ZU&t-MID`S9UG#E7V-BqLS!i^DJpBTyaPi+gxuWRNE|>&M;8T1DzmhdU~Fuxw5lrj-8)PSeA@TB zyAD;`f{b3mj87C3j^%)B7olSI5dD7>@&8*2e6R|(ZfOAt>F!cQx}_VW>#Xhfec$^# z=Z-th@BDGcxZ^qo!v5?Ji?!yOYtCmr&;0B#MR^HSWI|*J1cE9hDW(j8z|w&)DntZu zg>!u30es_e7T0uEu`_daGjueC$Qe4@TiZEXTNshKnmRgJ*x7P0zh-7-B75)bZ12R& z!eaBE8<_1J%~`mr>&n0&NcNIiP7ny1A@mF8vtY3W1kxBIB_^!up0U5^;bo$hD)=z| zP3AyNi`R;FQHo{4xt0qNHHvP40(pQnI>(2gH;&+`TVEA#TU#J+G{-voE?u6FJ|*+j zi*~xm9LZsZ076FL{Ij8X?K)61j{hjMDlQkl}F@ufp&KCOg5G857hRFyAF zoU*ofMmXiLg3v_}$#KLqcaWez1dY6fK_&;+7@ot^LEkEQjhzF1qhL+Z5Bh#=xaj}x z2Fi**aHZd`+?@-Hg~G|CV0ZVt5kuEmQ7kibE8zTdtG_G67^8j;>96_5)A&P0^PEnI zoJ$TJ|Ka$Qb-@MtCvHKS0k>-%3vv~)X0jKvV0{J zS*jWz2*H>G@ruv?wfKsh*qR(&e6V5}VHjk3o}pl1lp0kqga2IS`Hy{K!^shuXx&Up z)}f=aAS+6We>qcsI379<=zMzg8VoWO<*105yzzNxbyO>N0T-Cn8w?dtTFubUDfcI) zm(`g)S}+@t^0%9@cP(kAoDXaL@zAqGNi30pp?pYT-*yPnB-6cIopz~X9}U*b?UvI1 z^%>$@+611X+xrJ$&S}r%8;*I0or~u|ca=P(`ca+uA+uclEKH1SuKx}d+m8fC~0&(85M7VdT-1YDNl2}dy*hY&)Z^)^sXUjlNT** zuk|xp6FIhK=StxY0u7}FN@nExl_K12jC_t8)o#l&HPTGutDsM%qDrVil=P7bg~!9@ z@+-NEt&PWj)LX7wT(+%|e(NT42{{#Y*>#IJPWQI;^jM?+P3mV3j4> zMm4@HqjW#1bD%4&UU6@i=!&+fXx#qu%3AjYLt`&nIvFe9*XF0IJJ=~5_H#EMWP7p2 zu#hPn;3pm61F;+;N42X5Brplmc3Ti{OeFIlN+z*zFw9yVGpd+*9bX)5h;`#3$y7q< z_?Q-`gI}Y?q{TUNjqE9+Kjm%QHxWFkci~#;nw+;kEEzraH068f_i^WAceSSW{LI61G_cnCs^UfyviFz9gcC5?`DCT4Y&O27-WS<-9>3 zfCcyH!LQ`wCD6qqyL~2J!{e`jdqtPUC zKJ)U~A{AFuJ%yx%)V(xMDLQ`~nJ=;!T~%DB67yf(AC-$0@4TVZd2|~zdT2L?ZPr#n z<>u-tCM1zTR#Yc}r;EthlerBJr%`?16vwU6GxDLEQ*PvPg|%-bPP|c%!o3?3K zb#<%qgVihyPbVyv;j+K@BA{t%=w-yQM^aKJ8FP32Yc2f$1WXFd|FeMkzm2H>zq`To zbavbaSEt^()AwP^mwA4R&+#{6+f^^iT7{iA;~38tQHJ-$Y~#&t*-0UbH&S2hA5(lZ^&hn&96h=CX|NhV9RjBV(sOf!%+mZ)u+x>yv69^$8;qk*|JLy)2 z({oO_Zps+G0MDaVylPDp(%YGS`^WoBFs{O2e!70x+-C{ zDbw4Gr)VTSmu;8)5FrVPr-yB~w&gkvV;+xVnQy9X=3jXoI%SJ8Bz85loxfag=qDb2 z_0Lelm&8ND^!`~{Bnuz*Dz1Jcx525Yk%zCGL_y%1O1b1`&1ej|h~!R1$nEor9H#FIzBejcPvIc1?3N-gTaUaO?=R+uAHLDj z(w>ZPj6)!mO}h*kF2A(SqFXnTbdI~8vE=0D!i0&zlEf76pHT*(D}N~407e?ZY&{)f zR8+%ZPJZTl#_b!3=6lsW)9&l5G_8mYf4S&JO5%Ix&~hA6EJECcQU;fJWhnu`j=q8+&C*1;UA@kd{*`XVidnJ(cj*OR= zH~isBH1zpuH|YZ_0s?~L13%I8^>15Q-A?2Dp``cQ5{>K8Z|wUB%tx*@bzHHn@Dcj@ z`!Qnrzt7Dfw=e7eX@O?mqAADaT!?9yz~l9}C^~NPkkj3j!-Dgq+{a#{SW|){_x?Bb zJB7)4)zuiQ_V`c(9=1RFpge!RwwZ3%*Lt~>o`B^2djJFC$29!j!lJXM2M+2Q>#L!p zeSiLNLWHozGkhPeueK!w!_UUv*zM@E0ziaQr+xSa8`$2+R}!+Kl6`}1RE;0dN#=9a zO*%F^-2CTKeRxNkiFrIYDfyVDfi z>Up^aU3anIy+zC8{gM73FC_Ay@)qdQ7_x9`%*RPuz_Eb%p?PnMp3x9yg0UK}H`8Gt zENxd5?|iOJx4ci>i6F7^#SVKF4Mrb65FUAqdw#K+W^MsH>VC6Re3Clug&>fPR%Efp zsDF(NJZt&WH6wKI!%7dJdyjm*c;vIya(^@3?$cR4t9NyAxVYDnDN6$b0iL3wqH?u{ z*Zy(duAMlY+b(2yLqtdC#lxoE1A^eq_ZYHacF4-G{sa4u9cTJ>Y;aiAa^?=-eC@3j zc~10trNw*EW!k}4S6@H-%+)pI9GnfP8~nacIhb!)Cq8n2diZUNBr-bM=<;yUeKLLN z>qjjtfS1&#T$gikKH;$Q@O=9mQ=1SAu|k`;*yL{a=!|LJuNls0h8IFXRbOr^8us{t_Rv%2fYumAV!zGgANKY4gNVj{p3s9#@G6K z;2YK3R@SpM@G<-s_AQQ8*S_>v%4^>+&n~xOzYDAWfL%3ht zJ^rQ@^tVU@2NAf^$*7$VR`$)$V#kXU*TaP!rUw4Izy58qg!yl;5MZ}bPeDC^wSBlbY1M=t^_bQu@fzKjw zFS%1TH8ruavH8KOjQ}A(cl|HT?VmXKGP{P-L8#5f&UyEI8_9{=fw)k<0*^7 z*(kU1-mi*}Z}Z)uiwv(i0=ES;&5Q+m0vn`y<&vAF5j=IAl7KAaj4mP*pIchmO zo-vMDZM!|}PEZgC%a@3Oo=Ff^_4M=_uht??+8?GLMLa!kTc(fQ`L4jO1ur(ct>d*{ z!N2o55to&fCBsL_D=T|8{m%0x2%{f(r&7RfO)WrYwbA~t*M59n z$CiC>=a-r17eF9IS8ho|RNQATR-_B!vikL#xYn>6Ve26HViEdg&8a1YQ1x&!MchD3 zXaC81e`dq8x-DvG{WMexMu$2kFvJsx*ZrP;e{%cXM#kk{Qym}a@2#zS`UNi7bbYQj zK37%sPfVag1But;?Q&=y9rOyC&+(HChdzRc2QSxW2H+f+@Rax6%1=F|Gd4DE+$}AO zm86=OnDB!_mA&bzYz`1Uv$|h4EWoO%RfAZ^cRE1nG={fQxQ9Ry_glGGJ}Hb288Nu! zqgedJ`H-$WP4M@1%{Qg1)z+{a@Lb1;&0xiV86CMwG z*1N#WjZsihR~y>z58_Kb7+jV=jVMf`eps-C@JH7Lk_@kv*B_}(*}ZSQI~^XIPuBOj z4lu52IhEczxWBzjwvq;pf~b{Oil$hTU=-LH%n@AMJhEB#2kM=Yrk`&hg}J$%9?ex% zcAeGv`T1k>XLUWaf1RuB24V`(-Pk-dsNfRa?&&`QH@-U?XPM9V>zJHsq&d1yqg=qM zaF7M>%f%~@$CBL^s(kOQ?m+y3K&%%UF~F<6WSeN{H0b50G)~}PVeaPJ?_UVqt)hue zyLcT3lJ;;->jnatRslr;Gc))kK39hOb9K*(EV|ZD{w6o7lHGP^up3$^lVZ#7v8#i^ z{S^9cevt*K{d!Z7r0PwIJr9ka<6fH_0DPQ9TiDw6{e`+7p2cZ8&#T@}O{k}1zXcvo z*Kh3cg*H;p(~}KTUT9kGBZa6=KH9YIOmM|wl(>G3_G0o_shx{26kNGfc@jg@;~l`M z{UG|G$Mj>MAUF)s7q8R|Gj~UEFCn(K*Q6amEu0p}Z@6&3ZCHSf>Jx)9$S5?4f)d&9 zaG4+KaHgh%i&GGrsKx<<4B>qBY7L6Ipv$lNqY4bk^rV}!+RBbaIXvXXZ{FhRQM~v- zykAL50GMNSVOefzgQulYS-zxNHkAzU$MfA6QASi5e#?~OJY^wl2%vVCeC^-%efQ8C zC%Pb3{ZC?6UrinanqsEHsa3a|c#fpndoXv|$IHK>boX32yJYp&YW}5~O0;3J zQIt&1Xyz@`V3bS{uYQ|m5oj?WD}t%1R-9J|f91MCSFlLY`(&9$14?L{D1majitdud`!;AySGB<{V4?W(KRT zvb7Z-i8g1CMl3G3;(MqS^M2Q_!@k5U67mA%@3?5>CQ{EYf}q~P#!3>XgNuROxRNCP zZ-@Cp+wwz&DoB+ax(N|xDKxGJ2jbG-6-n*8sUy(w17&cPNbSiBw`b}a@Iovq|EMC7 ztA)T~iwxwQ1I`IkzT+sa(`+Lh)b5v(U=|bHgnGFIm?EV((CLXsK%D|fYUojwLJHP- zQH&{<`D_GmX3>8~fcIh-ixZxVY&n|de3CbSempqL#~~tFmk&Iu<~>;Jd#gX>Sw9TM zhB(;duueXO)W0SD)qtS!KBORxpeQUW4)Gno4<F1FY@Jq19jhkJ}(8B>} zq$_?*Dk;Arf{(?V?z$AfaUyPVWAl`Dcyn>U0^+R?Y;=)Kq- zwi8rc$3bdFPElZupySV}kd3i7M?D~c*+7IuMV~A^K3uM6IF0!iS-Ag>ldwN(y`;d6 zST!cS#fR31)^lGig3V>2C;j@Tn4jbEim=y_=kgPXv$ONcVe?U6lgnPl<?d{;n&f2dI|gW#)Ia2F$$QN{#xBh zD(L7Kr2;~;t)ASfYVZ(U&x5*W(X9_Rd(f(rrMnzV9K8k`q(&lM=K+s5p65NRD3LKS zlq50vb#*vC?Y`7S641qogWS6@5Jw4tXeEKFARsIZ$qPWjzHT(Z$ekSvh#y_}U)=jW z#s_;V(``vwJ{ioFoTyYl%GJ^m8G?=o_r>?o2bzGd0K2mZM+?c>*`i_%c|b}*h(xYjX6+9Rl;_BP$`6{J);?T*bFh*Ed`jAN$ui!i zIS}3xO;x}q%ocXNaXTD&kpbzrIG8_)c58WZx!{EMRzjlM^U}6uN6t?B=N2alR-B}f z5~)m5_J5$2%YQ|UrlO)7IO<{)QnF3GiCJ&I_J2NhB?l*P~b#*UayB^Hd zjm-m3F-^yU8aAnD_sOT1I`yyZ%ry>w=hKCsxzc_8aB%|NUQ3m8m?5x;%m#hnL-74` z{3?)~+S*!O6$8^5*GVP`ab1r>Di36ku(L`g;8^bF;P9=3ggS1GiCx zQ`mmnz=a3_HiK61TB?{^y1x0S?S<#XJ`6Ga=m-X#`v)Do`f#t%=nPG0)rqFf%E)H@( zbZJb&Q?!GBncjSq}s%R;f$ z+b$%K^OQ_L@>&I;mH1tv+ z|0*=>aRo!;H+=`I-2U8r#HYMmft3&$Tyj=~WTrfU6%pz0&_5D6_nuK)QalHm8<4mE zjnV=~hqw(RJCEX6G39gYIGaQ`s0#jB0X)DD&Wk}*8@@xIs9>6GDUuYEJqdSZzFqK|!gYRi z8>j9fW`qo|8bEBeZI;i@g~|HHOD15E#C&@?W9VCT`HLY zcBlcAtM@nG(~FCCFm|uU$0~Cc^UO(?>mo+xHoxrQN}5~4s&R+TlHmuqEue!8F?I8O z-haWo6m~a1akFC!bBVA;B*jZNH{bt#2?Zg_aiw)Ugmt~N1)R_vs#;)a6RkeVC>W%Q z3AGzeiFSIv+TIWvc_I`NNs1566ODep+k8LObSf%Y2+haJ)sAWT^t?3r76pkzw$bVp z&|fBG0B1mzvzcdZMT`httOF#!-&Ku?Sm~{&PEeSJqXNKGEEP*+L_8p`xcmtVFqCzm>-!038T(e!=I^|*J_{3) z*FjxTQZ5Ii-F0EGLYmpZeKr4{00TcC@N zB{cnSfZxu5QrFqL z)KY$x=^v?of@+66_;0Y_VpvHa4@XHe`|aIcL;&{APvPBWD#qVBCsu8gRqjuu7*w#` zCJ6hfDgZ4%!NLHJO{r~Tp5(+(umI7;(A&yB*i3TZZb;dTD5Cdxe)$2HrR5klBqRhq zOw4{#j(e5mVT}a>0hsF297g- zONO9NQAQ9e6#C87ohaS?>6)wHZrP7VxB(!QFsi} zf4rF2@;P2Y!&i?^6ftL7oYEvVuv*1Asc`JdSZ-X=e7Rg`_xqLy#pXM8v#WQc-ZG8 ze461U=*sHO#$~9gJ~EOUj8cB=uU;WQW|~~AzLPe4oS8v7e*ZS1FA|Z|`W{vBYG$M1 ze=VeQPjy5Xgrs1xZ^N{)d&ParnI;+Km9N1R-t3>w|1Y()G!yjRp~&>KG*(ttC~by& zUwwOdw~n}Vy}tb8dEM~{gGj54FZZt09%OD z7*8=+sfpG^RD~;;R8Z`Ya{SAzhSmccNI8u)l)uZRlkSY+@w#FaxTucd(c!c6-qVp` z!x2eBJx?SHVk(~crB_15NQbBAjPVZGeSOwEySH{+Ai}L>o%jkcKsp&dH#48tz2l0Ci%$SsjK$B-&x2aNU+d0C zg7#zQYps#dV|!uYUzto>2h1VLGYQcia zceX7jZ=K!To(Rb+{#aOuEURiGd_32G42Ggm8ylO#j4q-$NjN+A?iXK7hjG156SA51 zwg6J(tqS`zYP;(YXgp0GR*P2PsbcXtiIAt{ z0Vt)xXv`{amt161BMCyCP8ZH&+K+{WHR0l|RqvAJzJ>(Ff2NNh;2SxOS)GpgzEhzn z{O%!F@Sa+lpn{NkaSg@~x*Jd(>v*clhwJDTPXp@+1e#IyWo_7b#exE}Xy zv!136iuKxVp%IbJH({g$iWO8pgyMCG-}K(-o64#xsPr|Zq2CMCTL);pbak5C-tzg? z^|R|Pyf!}&P5>!JK~xmPDKc>S<*!LalY)5Eq5!)9+&gnxOcI7#NBFvjR>0pp+xwT) z$IO(Jfj71wux;<|I`;AZnGn4KBPo`G4lk&@wgSWje=^qZ3DRCYx5ePiO|z7uu-n7tah?S8 z5*iwsW2kNd@q>!IuW$EjWgPVY4a6>s1(=SO4|h}_-cnGPROSXEB55_nTc0fWKHfvh zQO=>J&=v0N#nX>$K5TmCd#>RNuQz>imiVopmI1!-WfYOhF7HRGe*IUVaG5Qau$?j`mv}A~| zZGQ?`IuBe~uG4~I=e`n+{)FxeZWR?wc&44>oJBFteYH-5ExaFfl{3)%)|MX*mLZxt zZ=8AA$xQ@)%0{VDIwjUwG7jR#(1lNMqLylV>9rSG{1PiDl-szNx09g46n1mt761wl z%Z@f5RmpFhxdK@+rGaa~68SF<&EpU=Fcq>Lc%T}n3(=kF#+k@O=+4w z#4zQf7$!I$1)O3^LUg~ysp5kwH8uxJ3ckb(M29^0hoKh_l*yV8lv1j=?4Drbk)lmb z*5D&QJsAYqB~Zhz0G*B=QbsxiEv$7NdT~HffmUVhkC%@j z7HQ~kFx(6FqTjQpIpyvq1@EzdoZZyi>@aWB@Y3uiLb*gDDB*giNjOF)4rQ{uk>Qgv zUo^3t&sVdwlBoz_<=%L8j=E?X!TXU<829qH64Rq<=l2X!el?)jYXNe4|NZ6ik@F{h z(8b^Y)cCbeD)Pc~CI_o;^OcAMeTc^S&QRWYY~Z96A@$+^oi4B!%gxyX&?Mb>r`v$T z{}uis2Lk zlS&s)UadS8+=fG`RXE8QefSD=RQkh~voUe%L7z>I?9L}>e2RA_FkZhYNjoI~suA}t zuY7?RYBAfOE%|SCsBCwtUwMYQaqug00}~92A5wuD@wf1unIvPnPkZ}1zR!dcRh$D| zrj$!9z^XOHNF5zP{kRv0oYAx{ks#R`o;n>IPhjq20K<$-OyFo0vVw{%5Q9ZD8*GWk z_%C($0fEJ=ah>1|+Ar(@czFVW3Z$!6Kw6Hkl47KrDkOYYp%xGL)Q7VrLGrjC23Eg}s-i+? zrv%%kdU?2pNsqP99_Sg&GUBM@1z+1FrQ`s0c&3H{0~O=IBS2KKm`-_DMT~xLm;b2sh$$d5Rm@gL4Gkt0{+8utevHI-wLyaaC9)@ zSla{R0><_FltOy3jOw>r=T=gzWXS{y7KO1qPK<3DI{u1_4B~Zil4yNAzd9i8^9FJ( z-Y&hhNi!3|CV*|*MeUMA)i#x(6Nje*V(M`Es=#vlS?NE*MWFW2GO7BBpx*PC4m*XZ2g9WhL$+oZex43gd zFmByk7iDvpmh^Y@PhyBDtg=Gio!xbR#HXbsS}pZzM!&UTBo2z3tDPH)j6hcO0n8!p z`B6~0>r>CJs|V4i=yIQVgzr`ba73{j?iTCjGt$-AJTNvYMP~oeVAd84)JB^+U0*#- zat^F0*iD_)H>M~wZR`8iXjl6d3Xsdnx=FF6zc?^^SKLt`WD#0r6eBmyr7!S_ zVsg!?!lMpy^G+$AXCSi3;DmSJYvgn^XDWqFakS`DR!KkW0{tq~JAtR6f_E@gZ8r?i z4zX1LH(&NrBb9vU4=u`_S7Y_~IKr^OFTjavK*Q3tjtL5S&@_oM8I-r15>C(KfiYY5 z@|wvUC%iTDze+OZZ`KVIW(aho&Y1CN5fe7ix||maFwI1e=>U*_{d&8_d)72LaVn8lWNFNPkOHo6C0_jJ zQ(Z~=4`bi>6WNa(wNZufwFt^8@C&JQ_(0##pvjLWGU7W4M2La01Y%x?0X|KNACJzf z5JN7$`I)%pk?{n)Y9ci{zVOAd&!0S!Cmj=6v6S}!Zg4!Po94B91Za!tuO;+s$elT_ z4ZC>T`vx+8+oaGqcQfGczdy}qR3Hh+#B=ED;~IKa_VtP7s`To%DYFDE@+?hAZt^IZp5e~Mnk&j$W$^eDC&7xMt%-W=4jJ*&2 zbg=P6EfpFsjgnhke8&IQy4v>}wQ*$AJa5EIKigtv7j*9N7=P6eb=&-}arB>fYJ z`-=b5W6(M0XZoCA{;LHR=u|^T4kinC%5HI_>B4`wUw-s1QPIL}vLz#muKL4?Sez&@ zcWb~$ zs3_0R?)TF!ee;%zT7=f9?_a}o!@(hZRhR1K*riHemVT5!eQ#S?{<1MH!GVa!0khbJ z>)%BJKp2zqZ*0aM&Wz@!N%`FEp>x8{QB9V1XJ^`ct5*5EV57yh&CEHH4bIz9o};N( zciz?=7j&pMQUQUux*)Mi`I(MLnG*G#Jg#yW%#anWywM)eT&3d!VKrf-F0#EI>nBJ> zED03kkrZ_YEB`0*;WZA2OzUAD>#H;Kuv2wJq%#df3=vBiDMv*gP&a&9V-G5~+~8&U zl94HQVD+LXtWHkga}!T(FD1Kd|CG3XI$;(D`!K_^J{ioM{h8`~>}2u+v&4Kd6r8$F&pmw&#M|XcK2#>KEwDgJTIyZL~q#3!vp4PJc@c z)I`7@L&6a1pEV`oAdS;RO58WSa2PGi z2~$6hBjp8YOe*7)Adq^S`4DL9qWk)bWyIv+ zM2=U0-UlWB-@aKQ9!EG(8A7`uq1*|c_2yd!JT={s#DwfPEx8HjC-HQz%_m02##au6 zv_~%b{jm%YBMs#S0(Tl=xfnmkQNy_SaQ`T+-Zq)s=Ru3?&#Yq8pZ?kVyBwg?vZ5Ylj@aW!Zhhc?wfTdKU547x$L2T+~* z5;fk1LAS#lTB^-iRjq2Y-{35Pj-+HGUK99?SFP+OQUmh{ z51-D@XWR_1L6d(JIhw1r)#x{JJg4of+BqYWG+K7Em)R!uA2_?2q-sj)dK0v=gdZN> zMvQ8uE=pab3ZhQQzMHg^L7<5+udG2Vq+$`y^0~2q2+7DiYrETEajFOceqQB$VDs-P(l}`AZw93_uT0MQ9M>0CQfVX7~*FL`#lI*3wx8w0}4meFCUODA0J-(+;)*2 zKHfWc0Vp>*xVp;kYzG*8;i|~N_k`i4q6U6+tcWOzs#fz<+lhFY)|Oi&sPa9lmjjwA zNB+x{#`Y9!w3nY}G7>XdXp%pMix=3jjV8j{YP6!bWHLrs=rBq{Vh+DuW`O%TUB2a+!bfs zp|J%`s^3W`mzJJ)49SsCS#b#r;##t`A9c`SkNS0#XHm}LmscQ*b9_1K`0UgQ`dTn# zKFf=24@%BSp+wRCY~lVbV)N(rZT?3ZY^!r&T*DOgsc6GA`(X+~SX(hH=_RTW5&d-| zOg;|{pQL!cp~;8#_+uXhL@hZGFMrI=Lc9FdfRqZjF}=>oU%%ADOJZ?U!z4yP@WblH z$iRRq`(uYssirU{N(XdWR% zb|Aj7fW|)Yh>}=s^uTG-NDjV}W<$k75i%Z_!;R{} zq546Hf)(3a?vE0SA6S|$S;Qr_CarXqnHj|M2E&Pd^k-81ibd5OcA6V_;41FNrYh<6 z!jHTyy%J>azjmwXJp-j38famY;LYq?e!O4KZ*Om3>8A@1Q1ISWNy*3%^Y-Qkx?_^E zY_KY1DZz8NM0YST#A0n}nYh(XKRJ;eh zA!&wPdr4o6br>OJNvejRT-~5#N9bn7kipeJQX4a~+!*19V&sXfn)*i7#oY}Gc0^cF z?I|__8Om*^mzGOGs`*nF`8x4X0F@Nz zl?|kl0?oFdeGyVltJ{YU9(Vv!?jU^CIDWVPlc&;bYBk88YAqH{IzLXazccWtdWoq1 zZt$cN@zvMq)t7kAFc8;+9dU|^PR{ZG0?_fr^`<%F@`=#IQNTDQs10)nXy9I*nV8rp zv0d?D20ScmhNc-Z&2Ye{45Bf7;(qdb{C;3eD>d_0sd6D7IC`EG4ytfNZEwDLR*qf` zVzz_`X9;i2y3v{8w!Mr9g9^Ymot>RLk7n(#s%khOMR*7@>r>K-B$Z~!t;^oFnUX%` zGw&#OfHY|bYEG|7JkH1_Pr1DGaUPw!&|D_$X-a}bqsohZm)+Kih>3)WANW#99b2n+ zI^fhgQ&)^P_;piuCyO?E1j)y&vb$V~NyR>6>upQQLX6{Y5>whsgckOn<#r#LkXijR zelHbr`j^!QY1i;p)a#gmnVpRbwnH%s)zECJ)A}6m#{id(tXNu+?{Zcyrr=Q^8N@v{KExfc9ZkI={b$24(|mi4eR@xkt^?~Z{uXGVmAka)hvDngzRYH;{(F8s?R=T#X86(+NKOz(u=C||E zAi+r!wQiI5L449-gDdyi=vGy_lvf=yYK%-z`ndjv`tg5ZHyg<*W-@+sTMiLizoRJLY|F+H8QyI zWeZjFUQ@QXB4dh3pWAFxZ(mx>HTBgKG83+9j>uH@gYmW_FT}_Vs+H&vEXksZ+8|u% z4n0|{##!|>dzqn7a`=iG_e5B1wDJr?}t_DF7BF z_oC=<266-I)+c}hQ#c@XtR$8z<>-_mxsc;Y(;B2JLX&pIYP^njIiRrz{hi=}J=r~{ z5CR%j9F0|%2zh1+&Jwc^Et+KRf93wF zq|8yKB0we<-^W=nE(EGGe%<*0b8BzH%D+TKkXczLoVW0QEq|?m$wY_ z@0+%*@M?`ZJnd@xXT22{m@#Uox;SC@6EqlQC>EI6iqVF2n76z1^=dGDVoc!KQptLc z;*K?vt(~PK737N>)g9&Kiyb#t@DlKA$nG@uSxXKE>)qNtSUygdHJtjSC zvhTg#!`-JEo=5*qlFT3TDUX~kEVTveFXQy>Y~|$vd^qFeyXT4aji!Yg-LXS;L%53X z;e&r>MG=#K3`kT=<4&fWEcG##I4SPKtu?Y=`h|-K@6!zj^V-fT;>_(Rx!D$RW|qxwYvw`@f%2*rikwd}N1e8mMx=Xy zOD?kJ>>>Q&Go2eYEktW5FYv+_VL$>8ji*gc;fesF*V~wlkvu^wt`TOkq;v-`8dezn zb9j>|*6;bAYhlN}+EjqViNlDlpJaq5D7TkZJ!>S7P_G=iJ2UwFta0nEIdx~=Xj*E# zfly^60~#NWDi=clOl4ygn0)XpF~3wTGx8}K*sY&CEuaUF&rAH}Iyl-MCt$>|7-XM} zkvm1Q1$nXCdQEQfC|tFK_MMQl;6*V`;36VJ%Dh__pPF7wEA9)2oN3MPXLE0L7o``e z^gbC`CKS|c@%67TW8~y!qZ*a~)f^K1V(-CTh!(jO3&ts!daM zL7*$6M5_h0E!-x)*Yh|lyA~~cnd5Rg){QGv;&uEQvSJrTS-82Y)tz%uZwnb~BbA~2 zS)GxRO3ihm<3{996412E>?@jL7kw>FN~qgO>Gm`nJTl*>&l~(-!h=2Fnb+ zi_$Oz8rn%ku5JrWMj6-uACK>*RkiKDrDj4(&H&tbcZi4n!4M%TbLvixjWkL(86~Ou z%&TmH8eTe1K&tR^p>-;Wzj7w<(mmzum(CU`-ti!CnAIIlY`Le#egow`FT;x{`7%Qc z)0~Fhc|30dL&wt@ShI&!4^q(-sf^9XcYLNNAcunh&rqwJ5nbOuX)-Y2Obf{)_|?Q% zTQ4ZmmO2FwBOejt!8Xz&J@8KN^I3DwF3peBsbJpr$eqSCH<#QA*9le5(eu_X{Vw%z z2Kegh+)`gptw%-(!#m1*-gUEnpT)EnNOGH^O;U_gcLr<@P0Exk%bA=q=abT;kbY_< z6?PHOyIxQax}pCmKDI`M>FcGETESCVnL|7{fU)?LC#vKE%2q%```94@E_&};VZs0+ z=1@c`bFtfXrD{3$E1X5)@Tr2q1pcXz0ms4a*=Qh}6%hmlN(*pw4(uDJz?)@?@Uh~8 zUWm`1GcdC?>K(OZ%f9k>Vq(@x=T4SB&rVK@$6%jlkP!yWLqC~sH~9(WJ6J1TSnZXk zH!M{cOvLnlJh1qN zE=e(BY}L^98}~j5 zH5Q4iLUZxm?w#WpQseB?XO>MnocbJcSaaop@cyZ4(fee5W=}OP7$n-lvrV*} zSs126V;$G|>+{q>50&NEzQ#EuR=NCzS=;(vgvFGPm%ZiER6^>wT~sZ-_Jg0} z(x4h{HM1r2`|73fP3xyoax`pgrqpTC3Wa20-v*29zU4f_%br3I9zgYigK4}ff3;;G zOjcVI=MvyhG%sT|MR~hCni@{p{YAiyX2*pu;ZG^STlrpv4q8$4nHGhwMHY!1TQVK| zY($+Ap?%=<6MSK9tB2xZWfAF#!SUrXcP;#wrl!p#1M7A8?Hf^xT#dZhhhS_+_V@t9 zw8p*MCyI4<+$w6dOOK?aKKyWf=n5kTbmUdC)!6EckYn;JTR6v$nA+mlZS*u-acG%#bzjCUvH^dwASx8PRRok zn(1eiqQ2fTtHami?}25HH&>coF;PG2$eB+W#Doft%;rc5HbzPbRkEhuR}AkOy;0N6GccJ_RuQ=)A|8UH zGD|%HG5Oz~N44N$f)o`PBW)apv?Qs%pXCLLw~G-a*t0*Co+@d&59(v%zjFC$7~u3~ z0L<*#&;efY)1mpd3aR}T+?+TmfO z61eLZxIdYJr>OzGq;UnQ%TJA-!jwVXtoBhHb0&{L9CUeaTh~j6Zq0}6K)kS7!dNS!`aK`s@Y3-aY20~Fm&zYLaa!o8MBJat7svWypz|E9m0bEWt~ z96Gv`gjs{>f1noaE}gEDWL@P59`MRgi#B?aW;6tL60wX)2((2jpL~#@0H0g)rairu zQC$`S)Dys$e93KnuF%fewm4>2WS;cb zV+8}A7H;my{w?Es~Sp)ZnZ<~ut+oRtu_MJla+s*agtR!~A zmEHRagjlHI!nf4a4*h*P3P%O~SQ?%EDQ92&9GGOU_53l|U}Yq_r@^tvPR{ncc03jL zZq4Nv+bf)aDF$sYLApZ_knWW3kgfrwrKP*OL8RM} zkPaykIh*hAea|_6=rwQ&&YpQ@KYQKlzCR1$D&8KYy{%?K1U$t&jGUu;9ol0T@kA7l zyfnm|ikx#FS(K3f(R8Zg#qAjw=KZIDjf4-r{k`xSsdVsq`tfPC7~Pv1pW8TDm&H9s zfMx-;M0DyN?+}kUBBOW<0_RU&yNQfWi0Zr>dDBWI1rWL zU!f|V zH;?)11ySaFSK2KhlcmraD+i{@5%rMDXDctOsZE_HoIFu>JSXX}uAM!WF^}o%i6(*E>^@41_Jx|Or zxxs1Niat#%oSRe?(5i6N%cGdIRbI~vt&y&581ii#B3gQ+HvO~mazgAiWi`ugs4)Mw zsFPwVy?~)I^v$hV+eDCe*u!?yrQw}`-IX7GRrwV#?Ao3BzYzZE{F>|0slu4UA9Dy8 z;;WeRm{vWirCRq`UNp7Q!ya+hew#;BBX6Ff9GOR$=2QjoIGRDNd%rKh)PEZI8wX>4 za4y)k#%CFNDAWQub}{TA2fV2!P7Hj|-e4-zLXp=5kAcK-)M?S!(emS*r1l4yo(dq{x62iAP}W;`XS_R! zNo&mR!3sAowJ7P}NNw1t`*iHm`LHB5Fi(rGWl^&Q;8BpXutzeeC!Gn(ZHC_K8QNJLnj` zuPxlVKYHp{v!i~&ZgtZ|SE0Kdgo?TkkRij&yL2Cx{%Yl(FJi3e<*lx!Rs1^r2guy> z7weRK`%d<|hv|O*nssV~tPGFug+JGRYQx6O|^WPT%#^58gspRDtpTedYr(j!Yyee^O9UgZiB>V_l z;r$jEN$#l@u}>;T)A51A^Q!KiREdoiKRao2Gk=Jh+OQ5ihP_8N8LIlbyd|MXz{#IA zsVJJp04shwd3!d9vo&=%s6jx!v`ANdS^cwE8@`JU7x?q~f+ox77MJ>AIQ!82k(jJ~ zzhlIY?6^dui@yeDH-5)WK6zN~v1cD!n;E@pG9d+i{@)n#)$qsG@m%J+(%^BfZt=^kGu>eZ zLpD;;W0(C8wtHkBr_-%Lkmg%V!Y@6t7;8P7L#uzx*}=cO$!z6Xx<5i@Y;Rg?_`8`d zYnrJOuwQ?+sqnl+%ns@OOwO2qZD4~pgvV->9Mv8KX(>}RmW)uwBlZa8XukR&A9<0S<{a8oRxA0!9!}m(*a&C zvhIJ^wYA$-_QYqE!xknd!*~^Lcc$Ica9^jt)a3*dy0MZlZU+I61+#GUlK*$5brX&iVbP(k#?9GQB51C`!E9dFc{7=t#=k6w4SH3YLo zTDaN3d-ZpToenzhq$HlWVCZO1OGnq1+J1bc*QaZ;vc?14DOL8U?01ibOL&sHhA7}N z1#q+9KCW!;^I^=KA0~hEjs>ohHt5tH!aG(Xid(wr2*nKfb*ue<>!<=-&)uL%3zW`D z0>8zmfso4QA?x`YODfKARoxV+0E3YC@t@EB37}^9Z@R>Bb%OT?83uH{pd*PH0gjc5 zbqsk!qI1Fps14)M@7@H_bB`99rBR6>&*(c1rjUW7!J9_kj|#MI|9~W@drtd9k%MVD z)5!xV^Oy1B1`)gWl@aJ^0j*yPqAhwOXgy8!R_JOpE|&3o2x>-zEp4_&l0wCK>mVXL zR-*ExZNW!q4u8?h?GR>an+FAgp!VL$=&20{DR*8&%*|sNvXkvm@wmDop`g>r<~i4O zGatvdv8rEo-%Q)XyN~WjA6ueNFSjCXI22@~f7dY#(!4elwaN7$a_qX+d1m?yL|~#P zOa+$YsaPeasCAGU>J#uvWu9H6j0D zF!jrXydOB~m!hZU!a@@EBpK!DKVtI_yBco5^DyxfAEvW$Mv%YS2zx%2C$++H9EH6f zu4?cCtpu&FXu}ih+AG zf-{gP_8dBqV8j!{US!qlPH~=(z`d||@_tVt(B*?Zy|x-c^>6R9aaRs8e$Z8OGmKh$@7^4`N2c32RF{1AX+)`@bIE z@6}%=vrH+|=a^Vkzsq(kEa{6)M|zcg zC_25CZNB%D17&h`I_qp(Ok03wO>EKJZ$G!$`Fhf)j8A5KJ@fVji7{s;Y?WjE1Hc*r zNmOT>4;y}9)_eU=YcW!W-e=1iX6n43=xQI}ExBq=sLK|_V(dxJc;Kq{#mbZkID8$pbfSm0E}|IkYyJW{dv_7M#&(OEDK zU}CPOx12y1nGmAtP#+q#xx>smFe+51GY)BATQCv)NSD8U7{_arj1ml6VNIK-x#OY; z1k{)s=mI`^hD*0EEr#3@4JzDlnI;ZmWtb2D8yN7AlY4(!MdgA)S6zhxSYeGYzm-}n zdKPW5(HL)|GFOwH`!RU0`}ed{wuC7du`COVS06@Mv8Gw?Hy&g-(EkBQ@ zGhkY>bDPRhBOgkErsz|b`?25)5^vw2eopq~>DZN^n;ZU1@EJicVN&V_fb%VJi9KM<}dD?2JWCRfOG~1iZ(lWwM5oh}1>*258b7a%f4+d$;&Y!8X7t;C`=$Xde%Rj(4M?UQf15jxAotzQNe#lOUO9U zWw}6gfs1@7eCfymU{>ezRJs&HQufzN3^}gYQL*9d+8`EDyy{(mxi8U-|uW z!7MguPBekFak(~)z!>20)5Nxls9xDX`!;XY_ji31E*SGKA!>In9N4|I5 zJ6deR0ltf94XU&cKn6OXivIkPS|%NVIUAO4-u(N2_2nZS?y&^#4_*W)NL+S5US;6K z@4uRe8`k!J*nhRdM%9i2XBowKKb;)SNZ9G?z7wXqRw+MH*CrPAIpa*1@gR+8+H=a9 z1hfaBcfABl=TLa9^AFo=vzBF}w07|Q-cJSIyvHu$5GkBti_>a|wvKQRNv=d8L_kn6!L&0pX&6?^^q zHH;n`lLSEZ)Y;CLCI=+k8>rUm%+K-iZiJ~5z;Lz}uUAvNA^7|&o3Ey=^=zZAz!pG# zb9>eVB98Gk=f>z0eyf|$uL|=nT{UGo)p*G)-8Cz@t45ZR3hsYrtWnBwQ*-G5$-9NG zsGN(QZ5`xgu8zZ5*0$jfB9W7A479O2OWLaQZ8~zi;Abu!d~7S4ziee4iG%URq>9ziMvs!j7HrINWPRx~Vr ziVNba7nDPF|4`K8WH~vB*zVkrVL(yt-hw!{K_unATH0AwO_DM zxCfUCXj^108=g7yES}Ke_-6p!m#Wsu@s)?2@PW4K-Tfo|%l;j%4+e&jp<-G_OJd7B z;n&sv6K5$|vWo>5g6o(4ksEFAj=pwub9HO;`x&`)k#`k^hi32j3V3@7ARv9ezwh3^ z5qwyONP|5BhfQP73i=|$!Lz>R6Uz&aG1|kSzZ}s2gqDb(O(8Ek{=Bb?pFHM?tQR?5 zt>TH?h6u^RD*Y>7y!b_sfTac<)Ib2yER1{=g2^^KlCRBUiKjOjjLfM0`$-_Sp} z)4MTYX-T4Rl~Zyk)^=rlzt1O|>Swe`FfwH?phjY;HsoQJ?G%R(}kE7Wvh4Ls@&#T6fmB4`I3n&?GyuM|kG)rkvB_?aSKN#=W$ z%W6D6gpK#*w?vdEf*U3ST-`pAmbR_N5GGEygo*Txzt~?{Xn{;W@CFh`AdYH8gji+YB#iCV68W{80j7mL1a;DuYC9Q0 zAvyCG7Dq4dRF>pO<8*0-_S+$?l4qvM-~6YmkC4&(XWDBwpn3K0x>lc0>O@*#+2vGg ztn5WJ(fmCvDF|^}{<=8s;NoK4)hpQuReSb6KG4;XoNW>?XiiX@)gj5ETV)z0?Te)?>h zKItz@ zQc!}zQL>8OKsZ#xk*6$>Lz&7n8!Do=-{RkQ)i*e_E;|m3f{PTGh%`I~?A9|BL%zke z*n%IL@2496)#p4zZjOnX;4L5+Gw+o_YghxA@`KjO-H^RjF>%kY_`DM=v)=`4;&_NUUx? zawFqeBZo@*Tz#&ep#T`^1AYB(aF!^4ehS%OX*Yn?(x(sG!_N!y3&ulbZ~^J6)iHhQ z+JwogxI^rHu6mlHmBWW~x-=CLLxBcec^x12WMYrxYHnamd^+JZw+B2ofLl9AC3;od z)s^e2H6FGf_X*+;+k+n6m|$fPN{{yCb|N#TQmtE3b4S#Rktd;r6r$Yxr{SF9z~**Z zNSxQ$S$_qb8>q4)#xy~0`ZI;S^j39mI0&(Z{aUCDw6MoVYM-!whw0Ksh$ zd=)5KPdH0KwWsoBil=6Far4-0*8LyP02Y!!bL4m+QbIt`k7v*qNxqO|9Z~zhG?s#z z8iPygM>KgJV}nQ`tTJ~z1D*vwU=T+6Q)Q-WrgIvVHp$w5LNupwHdJgYsLfIt;1L$7 zWGK3@Ya{WHb#-%hC-^LHxdyCfbpK{}&hNciYSiJ&)7kdyhEXvy6U}P~d&O!0&Yo~k!LJcH_wm;(Z(`jpt8KrYDfYMFPD?)Eb_;T0$Y;Owr!Tl2wTKZ@->+&%4oAp z9iP2pI$R>l5^N#%v~^Z;_yK$uiqri5Iu%K7E@Qz0Z9LM&CWN|z4c2?(C9JrQ=J8mtMWdL_pXHk+DVdvtxw8Z%=wD!i`FVT5+*_B zUP@vp1(h;$6r*+x|G8&>eq;mL5EO6UAzxz6!i3;Ld?p8`5Mpy7%VR8zJZzyuSC0q> zFZC5JzuGt+VEXIYLakR;`L33qJyL!>zJzsEGT8I1&R@Oo9xdPapTC;!1w|Ss{o$C5e;%;t?nR$SLON^%F+)u;6l;^@&s!gg;Ey_!G7(j zJ(p;qM|t7w$4?Bn7SSDUt#^Wyc{(U3BZ253a`1um^&%QSkUuo z?RcsW&V7p!Tgd8Hpacn4Vt$a3DN<*vVL8DEA6ZSZzmB+C6w&qnCYyW`S(4>?Ij(kB z0QntvnwmWs!cx-AW_`)U(?$hyaS}E*#(ogJEvZ3`5NsaO~0ehUn6$3_*NPSk?{~=bEOH}t!M66{ zR?H!JJ1Dx>2Ef)dPK641b;xh5+>-ULt|<#nvM)aaMh;QIG9>}PH3?xZ)rY1Yf20y3 zl^3%q;_`#!KAJ|+b9eg2y*h&~STebsvT!Va%&g`6_iq4t@ZrL;!lr$Dd77va)17we z_GgL$`N8f7t}PL~zTu{8|D`De=9NCE|MB+4PzHK!9t_V`4=AtV-nGNc5N9T+GJ@9} zZa555({+F969N##SZxxam{RJ~{FyU!Q)|fKHp=ziz)I?hW0wAuo*OVy*R{-{*;ZT$ zV$Shf;Tg#F8Q>=Ibje#qOA+Yko+T+sYm0`lOV^1pTMKaIoGm$mENAaXmR2%p#qAHGm;30{ zZCPM!*3lz}TWcQs3%EWUIfgAU07LF&AO?KZEfet;atVdQMTU&0Bwj+XORLj2RD}qp zABb1YB=Czh7eyT$Q8kmK{51I!LLw8JHAx5}E8f>Pl;!lPq0*zYlc!PzU;a#*2iFUh zA3O45h~!hc`k3K8&~f2q0|$GzlTa7KuC5d5eCj zNuIGv=XQu5egZOeV5Jx|=40+>#Pz~?1M;AG(`o^iEm;aztnqTv;^A{@B}bspGHkTt z0SP9P%NH-aT1-8L9;jBhj5%8Y-}cW$_m+t5izskMf-JC#t8=qCEWO17#2hQ!V@iUH z;Cf!Y4fMz}qWAG^jA!sL zo_U)g#EAr(M5{i&=vcqQ?)Q>VF=Syxcal*)H_e3>QP}J?^7~RdQ?6Sk+JhsM9v_17 zdqe1u)&n|Ih11$B49s%o0-<+zwV0m~@Tx?Z_XBUs@o~Mms(?AkUg4k5sSO-~EMQI6 z2M1K~I~r&73082)zr1(oofDPag&Q5;w{&OJOcKQhcw$~tmW%)QlIw|K8v$|?oTOTr z>H|g^(2dHF!+S{%;T($@_d$A}*jdJ`>dQI?OlHivLyd}D@_Fn1rD0)Kv05Hh(~aO} zi8FYGgVQQ5j13oJL|TwxCOcPX+_KCBokN_`4tk>%AuT1C#E{L1eDRxX{LH-vR?+$( zbTucpifGy3K2B8>44huG-moNF4kulFj~2ouTz=!R*}1UyXl`T#c58z zJ-n7tZcMO>w0&v2^}s4lwlrng_a%cDby)L7R*S38T%m^L=rDATnPcD*&VGw~J`P%S zHfwNSP40nRyijq$N6v1G`Y^;1*h~SFXMZ&?5dmHj03_2j`t(zwah4GEehfxIzj7fc z!E_qB91o2$?Kg_(+IlMo`Bo#iWThP@>I~(e@vMo03g5Y@?}tLVMu(w}oxYG-G=T6= zJ^}VjIGE?5C}WLz3zf2iO~f7|XDuxsz=BGl#dmG%QkXrp+6G z894g0eR*Hq{zaMFG;(h{=f@O83qJS$pBXv;bY@W3?5cvV23M84ovC8ai81FRCoE!W zb_45?T`}_$-FbR}Qg`2rhELm@@bmOph+}q?8+(lR#v&NVFQnDdU$60+53GQ#I`y%uHZErnEj$^g1IkcKv&o#yrx6}o+u?C?p-+yCPi z1yLU6{v-l28A_1)uyeq)wsKkl@k(H(0*3Wca?ZGW!=)>CKMqgjdcE3fRe%GQz>=Ha zahp&m*2YjDoD;ztx{4%vshuGkF|8tfG<<{8z6y`xZ6&Ob_-v>zZL`DbFM$c4oB*xS z|EYBAe5munCV|4G+nZ$xI}HK?z*+oB$D>T`qvyBW>$CRxulAnZK^3IacpdDhLIU}X zG*kAfy|dlMyuHwZj7AH zD^&p+WiXUTy9UIYgX{Dh1=N4?Ym$@1g19qUkc$Uf6F%oj&de>9a8TccAjW{ZBUXr6 zE|&e4KUwI@=du>!WLf&BIFtXp8q=hv?xs~X#>t)`=^L*4ReaNkT(UouPVohe#8$22 z=&L?D7te{QIC2Q{->&8nV}Biy|4JXfKG3eTpH81|56rIh5L0);_fxK?Iq+=uj+<=y zFBUSsk_?IGI(j|F!yPZvr6ss75e^N-t*IG-gO^P*-~Z(xxSwiW<#0Iwtyd0^tK?z3 zrlh%=br0>Bk_5omcWFNqeZ|BDcRS%4w=Ac94F$mQ8zSu%ns_AHeo*D+s%guyuU#52 z^>z_IfJ+D$qyhfhjoOs>VFjVb*4E)+Mdd$e83@2GxH+SXW_0G|vbAnhe?96euv_9esNULtgIr&bY)X3+Nzs$dbA zA=29p_0IJvQXGOk=W+gkG(mDl;XNTDQj2of79GvDN8b@qfgK|V4-VNLk$<^GVNs$j z={quc(Q>+Qp`A?8xxq7#lvN#kTsEWM|$qy z|9gZNX~W`%-;RTx5Q3>fY8V&0Hp|eMa_2F9M}tvX9eYx!AL3AEP(eyK`2=k5tYT%D zuZ%rREd|^9z&jax>IPpOy%`099FfD^9>X%yTQg@`EL9#FMGS!dFzRSnyC;QgRLbIH zriA|Rm~k*RRdGsL5z<&$3-OF2_}#%tp|+g{Wx81H z-56`gj$r|~U`ykPA9&7VhgP?Saf5d{0rs$n%zUyuafp?)F(-L#U_8~*{zhvv79G?5 zAJ=7p9tol^R$m`4W(E5pQo&*`r&pFa^7u8Vw$THRiyH}Se4LaP`h-&bjG9*r-=W8| zm0pm+bh<)n;ZNB{1_bT3;Ft8gtRF_7H>!@J%mg;I?xe0+D-y<1=zp#*|C@k);*Iw1 z%uPm&-XWXjojw~s&`LFSmv)5i|ZFjvTRw`KX_Kpq4HRk z?wY1wsnBUUkN1ykr?(yrBw>}}y??fu9IwvD0uSq@?5WQW6cAzC{hh{qLukwOD7(me z-gVeKazT&33XKrL9&Q-9c$t+`x&f(j_R<4D2`-y4f)p*yDtM+lrA%yyAZq*-jx;#6 zBu@2h_LuR&_x5etcJ3T|9K48rzTl9on#HQ}Wsr_EEH*en5Jdh=q4>+nok&9W-8A?+0sG=H zPDRD=N=%$2*fCS6FFKwJN$M+pEuHuLk#L*g5L2+cfQ~k4LBQ8pkl`($N&X5~ zn=*eT(HHrbo8RlZIXI4}{rV!~m$GFLfE#lr)<2&Zj$?8&^D&I4u7?PSPrJMWy*2+O zvRrS1?Jz!(0#7-}>kSctl+jg;`wiaRv2L;X^gq%aJu*x4ZVq6|b1A#HtcC%*0ZX23 z&3-3XzZrmGNP1M9a@eZ+T(M?WXy0hP=ms)2q5TAyb(>A!2Xax6~u!Sl%X=;zO4 zR?0+ske*>L|1sLjTNwR}Dl*{vl*a_SHVgwsn$2!d4rYHQuZ|CF6nL0jp$JmOQ*!;3 z*SlN~*_E-&fBZge=%a_uELrXfI)b!Wi_}wBF>mpza&|#33rv#Z2bRED5sGkY5;ZNp z-a``>RJit48?X@|+&4Rrg;2^0vN;^PIA*<)beVwr2I)!cgw}WYLe9Q+=q9TF7@pvC zTA2I5vJgZMC+dP=lanmxchS@ze{k#~(E00an4oT&v`O0m|DXSL_}vG>p3{3gkuaL44V##klJObZVuPTX8oIdBy@az4+L;GC~Y&$$iJ%5k~b;}d*m49{4mwfwk`3;IC) z`3d0#RU&CtB!KS;_kca+vg>lKmH+2&SLQ*=rNz;fli9@scpEv6+tv?nrmGqK zjBt&&W5s2@keCRVzJ+?kX6_lGHjE5u8uT?9q?4Apc}_HqcmN%JjsnIk&1bEQDRWQ7 z$NM?tm&M9Zi9Jqjl~q9VQ)+Y{4!zVX z+A46)s#uv+xo8OOUk$AorJtUgmAUF8lvd<&$Fa z*z|?deO3T@Mn{!SV)aM4t4MRx4-h5=;Z16uNk#hazzGZb`)dZdta-vcohjuiC@18r#`360>!#dpJC0u74u?#6AXF17rFxksrmG z?S4D#`QBLRokbIcW6~MwI7jw@9p?57#R9)^_2T$zE`~{ao=TctT%=&e`5x@{FD2*G`HvB1yo3F&Dgn(=Qc5IJJgS z%A>%M8_bV%)Nj1hex?WuYl{x?isp<3vhyyJ>8fCj2UB*deE}cPa6137s+(5Yj-`yL z`~-EEM0=+n=)ip%3iaO_>AN6_5PI0MN{lUgTg(R!6wAf2`IunP6Yq-_1eWoAOf>`~ zz!E+Tec8z83)r|aZlTEgd8;3^Hya}Xx~PAi1wt2gOYo)>_T zY-W!RZU8=PjwJ9emsjC}>k2;-v&z*?5h*(0${~qeiF_pkTRh#Ss}ymK;Kz-ST&spP zzbkONEtOY@b2IFv^y2Pc@{jjgcg5``u3Fx@wiqUo`7v3QCTstY5GnR@d)LnZ#ham# z_wKwS!}Tc_b~?JV-Mo5_@KB8{7Hq2_%inSPS&j}}lx$uAB(eYgKiyB7?kYp>%sWpQabu=v=D$HlYWS@ zbgj-2&9GYBrk%IS0)ST~c8sm`8xNJCR3VO5I!J9NogyKUjfe-h>sRum$?icC*wef` z7}J0Fg~XKnE^H}@5rX;JG>09blGXlx*H>?9PG$c%%U|>*t_Lh}_Mw>G5?OEQG_?Vl zsP{(s)bk${Ut<6nrq?9HVj5n&uWg+r-m5xfq^SdMC|LoEokk|YHWKh z2W794#!rX7jTxU&qo?Rayje&lRjeaE3^6t;fjR@?RG;lGL)l`n`O$#HebKg)SH3XgwUVNqe<%FX#w%(R$&j=!?;2P)6lp!(3vrQOksYpnZ4*_f0 zdtS@YA^{6#i?S?xxvSHfjtCfc+e65}y>sh%a3@4Mqj%{B+asC-3 zjqY*&lU#S4tKa$^+{ti5yn0!mpx@G~y`h);0h^?{Uqs5mg=L`#*PFshiz@jfXi8ft z=BPRwzEc&${-7bzyQ)(MkEfb1(Wi$)vYrgnq8u{A_T#KpVYOggp`>0n{0|9Of z0}@xfeKjg1aAs#OZ(41rRm|J@^61`;+d$uN3k;zX)mG!d5Ivua_E~ezVLb2UVfswk zCZN)RcuPvY^cmQQZ&CGktID-K;Nzvb^_D0FxQ3Q!11wl!r%lY(q3MMXCIaGtp?kO$ z26)DO+ptp5&`*DDIg9zmOijb0A5G;qVhvpk2JmWu>*jgr4DeQ;B!hxKE>ESftq&a} z@qmWV>rD}uc#Q}`&;Tm%_S9-$V>upiJ|<6b6j62#P2>3Egd_X%fApSN9@Wd^yD+Y! zvv%_rdrK?Hh6{sN9U3eZ9`-S*uVqT}HO>?+2xAwb;8Iy{*YoAkC{@brkn$d`6y}y3 zw?zj^zzZ4+CJQAh+xrWsZn{*)n_oU2l9g(FEsN@s=FXixj~2-vIy0s8NH*N3Q-)JB zG))w6aFVw#!oG%O`x0Ho3#^9wMBsEsm1UB{h0~m zAfsF@%Dfz&~LKNtbK2f(4FRJ0!53fx)34XJE?P`_Gj3-tinb^w1S?E*U@R*iYQqt!C4f?6@c|`}mT> zY%k5+R2^HT!#+QCz2t@`l>OEZbolU79}6c13Zq z!DK}d1eyVj_ypu6op&q+Ao0Z5iRMdr;?I5>`Ho0B77Q29+@_JK4+DBaGPK+D^@pV% z5lLN`S|5g#JmG8uN;@hXx)Hv)w!{gjr057KjJ?keZVy6_gRP~&hVEM8gF<#*Nxkv| zC<;8^9e4ffw})()2#vf`F23tW-E^4<7r1R&H%7ArMTQH;9K@F~agIm1hJpj1_G=9|vcVPKFg}VtBOC%s4l~p@| z0#)(v-Hy!NQco9*xVl4n+B}hZ+PqLkk(-&|I_4Z~9F(iF5~>0RMd!zoP? zm1TkK!S%B*TUfxK5;fZq@Q{WF-O;q_+)HV)`2xEc%^DPwHI8vrcq(bHes;dkBKPTK z+OO5)BC65bQKin^;O_ojMmp~!R19g(uScTki7U?x$$z{#P*N}Z@E);b+!k_O1rAvZ zgxyRwn=ZxfdlRAwsOtmY+onPyo^v}IIVRodtx+n_vw z4?!Uj23S4x&Gi$6Z})wn~LiFLJzS;M5)dMEqL72)R zzB?^XM-hyJ@AJ;nsJP}eNj{?6`YX01cyum->sor-T}lc-EJPY9+k5q&Mb)`_u$ zcW|i+?D3fPGDfg5#<+_DWOBUag)|4RX-js~;cP103l*D=1n%}FWJG36_(IdjU+MCyIXUF>7aqYCR(?e>Cr46S8pJR{L=o$gD3T*hheMTpvDBU zV`p+xkkWMtBExTI(rpIAHo8>tVW4#6jiNRD`sWJ;D;HHns=VcByujJPApQ(CNUKHE z{_7#WD1Y+6I)pz(T*G(n;6YW!uy3NG#baYdizQ zzV^zB?BLXjfw$?K!&B|SM1hOAB=GnM=Zy&s!>~Cb(g!<&93F1+C??pZ(k7#4E}MH@ zKJq`%@N6+7vh+91Vc_92Q5DTVtv1%!{8Kk3oHdZB5^s8f1dfl@kzH#GJWwlSR2O=&mVvzJepXH7;EaJ#ZL(VlTOziQ6~+d$3{4+afW@b_wgQbE?BV^B;wq{O7)%RhH|BQ5{s_TRM2IMH zpey^nJ>g@ki^%5FE|adW9ZZ$Z8Pn?@M$iZ~#@3o&W50_eob1s9?{Y#piNB~>hw!~j z*Z6wdtJi1m)w1hIb6({NvIh{|n+6`o;~w-lp~~p*7J-3jpRi@p^Orbw#=#YE%ti;g z&O4h-i9dFW@LPAYtAPT~;U7%+nvI!oSj`S!4i;>$2m#!n1e3~-1I~ZhH_VEfh6TE{ z3#=vVjR`X(RSI!0eJ2+NgsAPBA1RxBCL6^L)LJD-NQvowWbw zd@?@*n9seSs{8H+sQ(Bfz$c21Gh)vd8|$~qv`;>2^sQ(K|j^5APaAhtq zdrzD2EZ=A&vs`V&y;J;(Jr!O-s^Jk@cG+x^8&}*qqN;MmP>&U-Z}_^dSd%kGXZSu2MEU7H2&`-A;>IxzST_ z^-u$^qsOELf^+|&dF5Cf+Mps5W$e{8R}VgDX&d>kz3R(z`zCk<|}E05!x zXhW0{=J9Mgpjq{3iGJ2|n)t2 z(HI~%?SK8$74~#x>c=HmcbQiBe4hd#)={z3cpEPQj}yyKEulX3oB75^0&|kZ*7%dO zwb!NuRn7Z1zq%JyNB^MdC=Zm=+i*K;&N(mcy#@}rmx4FnJv?B72y6nCS*r^yTxtLn04tN%OM2}M^VQwuT(fpL}w3*ZSIh$cK>#nYDj#Lm);2@Z&S?bfU_zF^Uv zSf@0a5etmslhyKG1cvrCHIQ_YUXCBR{UW!+~STgOz#gyu9 zMk;v?-UAj-p>C2C{i%BEo`}hpP{_{@-A#HDA1@W&KpEZyQS0@kl#vhoV9)!%Cp9RxuMLt=CKKR*G!(9-#7U{Xq?}$A=I&cmz5EDamuD1t_&FyVv$$m z$hB>7zae^tk^di7#?%UJQ64+GWlOX6C?e$XG^iNlQd{xyp5=e4Exp8A0I=}eLL zRf3225u)+C$G`WpMC#!}B}FyG(0aazz1MyBj#u}?Y2S(-{t)~3u zB_byIaU1?QMUq9piq@BTP4BaLC^~q;If}cNPW4|pCZRUU=|oEh62FwF#c%1k^$;v+ zz>2ZnF4*Y08+qzL?g=nA)6b7&ku2vFFmh2+9C^34{05uLZN4SN(x!(44TD_dFt+=~ zg3HLZ!ZkA7d1Z~NMY>UR6@Si9#&=1Kve?t}$~e5gkgep{J+IlzI7qO3qLbNB!YmvfPIgyWVSJFX(T~#W%Q*mM(v< z67xoOy4%D$l){s(GH}&X$^byHwPr}SEuh!v%+*bMA#S_ z(+7^XHjaxsr>1jNmuq?eoTJhlH7C+MZy)zQo{v#-1K1ryd#l8SuW*+q{bPlU zml$H65tAn3{2xCifo{?s{pjlW!b#e6qdtWQC%6gPG`rb!n|hk9f_cXr^=SLaau7c| zo^}KHWj`|v@HC!JB7aYs3|)49IWU+amchKsva&?y-8o)Z-LNO!q zat&ZX8{s%6`8Eb$JYAuIF7p!K$vSRF|Le+2tZMC|C?t9gh#~a~)H>tnuw5Isv6-vI zNFYyRFMV+`OU8O#bSbZvU|G0$E)3XY98MkT=_Th?NlLTusZ%@FDszLB@20R+;7w5B zEWyCQy5iS{R@$XpKZgJ&G1A7A^!Z%wCFYI;qFgl}2Zoc8SO`9|!;6H9rE7pD8~`(} zD%fDukAAk_o4luU>82#;gu3qawUu+5I`@-6uE;Pp!mKlWoG6O_5~Q6y)O0=VN@;)?hSpw(V zGn7X&CcT5eFj z5OUfKGt798S24nfzbslAQaNiEJTq`hknChsU~h9vX&zS~{(g7e5*%)pkP^)W*hHY0bft(f}xS_K^o zz5Qq_F^!d;ga}kXgrJ42vBqAn2iGBPy+Q+(VQ<=g?Lg1t1|p}5;QkW9DjDsBy_=1g zF3b7e^q&wPd48aV{Si!*+kTNzy*#MI`mP%5KdeT7TUnEt%)>Xo@1J&=qTv8{#BN;PCfyYJ3(#gL_fmc_+J_CT5L@1`9D$LX4@=oDioo76D%3PycM0{z^?C&gcTFb@CoX;6bk4okbrNYM& zI(Hb5lbouW-fJnUVY+bBjV0s&5|UV{bUEhiq?VA^&paCNbwO9sE5&p#qh^3};%q)Q z;jvt7wIIyV%j){^V|?B&LrEWXCqu=aBwxt_@GmaP>HCx3p1y=>V0{9OY59QJc%Z#> z{^ZDAv166w!T|GY&S3)YCrp2w?+gIY?|Tqg0DSjYudXBG=Rv-@))o!Zs#&)eP*KyN zo1d{)RP3WLqxDVeV16g>M(^H$w~5+=*BHKbxZo(w5^(sCLZO{i9ex$_1HEpUVbiQ)590 zfJq++o+=Lp<3hfD?s5$A8|BKVoC*eG?JxiO?Q#ne&l(JX)JNmps_Yv{hK$mo-m=vZ#IUZ>31)QW6LEjIl@qFcDfr4pyc zU&&P8rD_Ss;GhX4995PTR(X|xM#@Rr^$GeeJ8_}8UgP-;pV5>5$Tf!j@aC;5epZD& zEdTp;ojP0*7-;`?#A)Fz+*7^xvJx8NKo5Xod>tX^AuC$!je+%V8+h%Z4sYh`73LNc z9y|LxDt_HvXK$NMPvL~j%VgbZ#p=N5mVIpoGr>n$g0Nrd`!$H{ll+z){;YBAfiP;71i3}v7N(C3&lLRE(#|kB-o*hsjtqa+h%6y zp;tX!`uFd|bnwB|7$=W^KfsUOCrpz3!`0+UawdAGek=u%bnT`sbL}(Ux2u8BiuaOWbac|Ed4N$zk%pR?7u{!3h&} zM5x-6eZ9HEA4{5rb$*YfXZKK>Au}dEEAahOIgy0&Ymtgnv#;)MYDMkOhAQ73#a_tMsM)A0b?h=7`556;DDA&fGv+_67VLxjR3M*E! z67BYv)hAq*k}Ec=*7`<9%5C;YZ#7}+>GerdB_A~;2eHQmbx-qYki`FxHMxbQ+1-pi z^-c^$uY(ghld$v?hTE+SlwUlP`dDl*-_ZBFaY?Dbz?AEy;dfK?O%M3=-+b}d_lAG` zEp4}7+)eP$>y|h!HH+>xf72u|?B?Q{lAb%Iw{P`PQYf+yOj|+e0;yXuLx2Mh)n!jB zsg3}3=;gLjI_SZ0R$WSXe|wqpiqN)g|Hf$i{C0|>0AJ>eif#mn^}VPi zyk`*sy8kQus?WvyCf|A$@&geIU{pnnpojkCD97Zb>blxmS|hNcL-~9%BtM>q9^W`p z7b{PA#?Svdld)a#U^CJ{CqZ;}R6qsJwVAn^r+TLF|E%aEJq}5nD#g6o8I-mUMfdWj zH!8J|>x=qvV-PZ|9koA4Y7>7{uX>kNgF^wQqBp8*s?n~~qmNZJk-D%?^{`0^8o9u| zr|wlV;Nru{NI0sH0lh@vyswzv`F2I#Qn`^Nf3kw7r!>KB5tzBb#3|p?)6?pClo6!O zSP2^I%X-Y&Hwz zEPiw)J+Ex(#C9+Lh>*aQ#!5<6rxB}$Lk+5u zE5%t2-k+%hUWvt$G`%#Z9~!<38@Y)gX3CvYeZoJ?6JoYaA8tCrIim2oc~19>sSB62 zLrk>eWAPpb+qric_FHy0gR&Uh$exj-#WITqwgxNx(N~dD;A=1!#LV)I(1%)A?Y_?3 znqBaE1@<#6-st-L5E3-D)AFj9I{>(I5w`^)TUJkXGNtE`Cwx0O=mdaV$A#-L7+Suz|)s-Z2 z$W$&i+P-JTv3RX}tT_%BYh==q?m>&i+Xywp4~W_ed-G5f8Uo{d0zOd4re;e=qHm7p@5& zroC*RtGar@7qPxMwE!!m;cIJa?10l#&2hun=hh!;bhCrB*M~ba)cZ~Bn+?^8ZIBei zWG&vf8ARp`XnW@k-FzQ0NaSzqUKA|oii?V$tuxd1@VIG?uW0F%*BWs63#9mb!uOF? z|5fHIt1kX)@qpeLqjqSv(iZLY4%#C_!<2~4vG1lnF3Cx>2jTg(n@WRaQa%pb>XTWQ zJv5wl3(x1#9xV|(@wmIKoJ{k!=SVGGX1{opie^T%ev}f?_wB1-!JSsNyMt4!CR}_E zW5Y%eUX{ci$5&Tw_e~?_)@*~}l~pfSBIT#6p9>+a^ew+f@H@@1@+7n0Xa!pJFPXc8!@~Rz7Sm~ELziYqdW}KKuMrYeU3agi`sc5{^}O4lGEAAA zI9Jb?vs@V*50^{Lx~w(a_#Bb<0Zr&z?G+81Xtk#sa}x9vu9&?zFk>12wuAUFNU$QbHX{$%sg!{hYQ zDk?sOVg{pAM3|8IE%CC%K8L5HrSTuxqJEd~3EdbVp|s&t^frLbqxzp~i+m;m>+% zVL=^MWyHZVt8DkRuX?supPuE9H??4Gyza8o%Byk9s0pQ%(6@3nqY-Y`1EMoQzs2H2 zeEfdQbhg>>Saj#^y*IHqy>24P+pY9Z(x(taLTPv*At5DOKUFk4=#bya1j&u}rzMD} zmY)}|SDIdwTuqPK^B1dVCw_Ir#(8+-trmx#(m*T5n=9vnK<Od2naRg>`SpP<>#J5P#|A>7wMWS@MJ?EDCOcovi&}-4HF8u|gCUk-mB`?O|6d2Z7I1`Hd;OVVsxLI!C>tMf>f@Cm-{c~`B~%Zi6|*ApHNDyQ&H=h zl703wdmY`?x>0;eT95EvLXX%g>(vk0cdU2Nf~lCeE5mKn-IWDPThd4!C*4l#MN?h zRQwj6)laZF>x)fx?|duJTJ1GG5j7gI&o5&;LRRGYlf0?C^9een$CntZH#e*v{c}nZ z9Gaqyhbt+0PMb={HTz4T?8S`zmU!<|4e3sDy0n}yahL5GG)^w$(Vmv3#HmAJK|<}; z4Md^xYhj8f6xQw%wb`wF1PMJf1EZL7uHx27Cp(#If1VBvN&L0gxjl1qd_Loxn>uo+ z1JTv;&p$efON)ycAKW&4?mId<`n{Dq!S}00=MdfV`SdA;g3F^>^{4Hm@7s6p-ubvV zIym^21q8H_=93Z=6HBJR?Hr$+;P{w=9}RU^{=~-E@83AdVot7ePE3r98CjMvlu=Qn z=jZ1L1P%@k8wbZ=9FL$NnU0PQ!fUoEK)P@h-bbCZ>==QGV0n^)k6^odw=wdL@^(p2 z*4>tt7VT0q97O%t*sUlQRo7J~W=2NFN#ybUQp7g+7BLD5k!L?nZfx+u{u~<{z^;*% z2Ho8%92Rhe-b{sz|FqV!NanW)`;#IeFE4NQJ|!3~GE!s^tnaYxMRi-62fRf@{IT2z7;s!7!RnZ5HT||ODik8DI_Gc{Lc?omd8n-yu7?D z3{>Hl2O1nn(-6qc(SU#eCJBji9WB34pFYtxIg+JGa6Np;IQEBX9G?LFChEr`_-gQ~edhn+hZEg#_*2l$ z<-7GLcaoSBE{t|gPL3Bm7R)5k?b{*WP1_nLCaQlg5Z>ZN9BoaHvTx;TWY5gZ^!;^2 zJ_qZ}=B{{tr;fATP9COv_ezzPl%70kgYozr8R_kIw0WQLbDDB2_jNoxIeB>u=n|Nq z$&I!)QrL8Quy)`v8OLW@V$yOB1+09<0#w|4jT_M9%|6jftCf8J^CB_<>DdzSw^JuBG zsHothrj~$4Ok$_1kEyk_)pcP>Q0WoATKkJ+ac2T}XFq-JfbZY=TEl39@B3gi{P{yw zSy?&u%bDkKlE_E!1Dl6d6Ax`{IFpi+_Ql#3I%ECzV~sp;jEttS_QuD?1XgOw-mR>x zAP{bDZZ?xu$cAc?K>4j*!rLPB=Z~D_BbPc|W@=w>5D^iXsX3Y&T$89~Q3^!ErDXP#{m4^$ zEPMSiBNJ19v61v_MR75YKOtQhxUvykfgh~8w)UqtwI^8lTE!!45*^g62z(l`o3IkQ z4{4W)7gXCiJM)#mDU_Xqqp9>|Ct?VTRr>0j|Ig1iJh$oYnO%QgY#54iFWz0~Jl<)e z0>*M&CGm<^R?C{OLZPAO6z37#j@?kSMN&{G9gCTXPyGGK|V>M)=`Bee@_Of`EWv zB;g4&iE+Ib8p6u6X0pOwu6U2_Do!epnsvCNz1>ST9pPpEMiR}-*B1kUG^H{8aPTbD zrP+k9v8f3SakM!pXJuveWArPsv%Q@NOZZn+l}S&MsOsH-QD*kICGPO>Fv6=PnBwc}@p9ML2J1*oJ{bm|n?yvABM`~EEUc_} zmKGKk$-VX`yDu3kR{kJ4-fd0<$^{V2c0_Za7Nw65`uW8LpXC7a@$vEU5td?_P3g~) z5*bz18!Auvg4+@a+DUf6PTajtK~cpciGLfL*L)uAF`H7S>-wVrW~75 zP@uAL4C|%@dP%NN*U=4TKWSr4b-%{MbQrX%d?MPp;Na`$hl7TxHa-`fk`lJR|Mnc* z0>M%@Syx%XbaSePBa=F@;iZKIHh31bo89}nu&{E%ox=dhfOLS)efvK2nHN;byOpLE z{0w6Gj&jWP@Pp*|bg|^`1qJxvC)ElrVzcY(AsHEr=iqn!DKPLOgeA;Hx*8j==jFM1 zzNa;P)Ni|sQzwKBRAf$0PF|-~&Hc4e!kCzt_KuFm6iGL`%?VKmJC#%^8gb{%W@Vn5 zOpTKV4<5+s#;*KcTwIL!ZFVp+oSr5A;k2xzC$z3k8VXW^K6$ay(-wrEZszW;0~kb8 zL!LlbUGaw97JXWL?@Qf?JR|Y*0_~45p7}I{xVViu>R(aU{t_DtNs$Cv{mJ#FNG2{w zmSK$+8EC9|2Zn^mLpk!Dmvr5)2TI{*S^wD^$oUjanUYichK^&U2hEP`6&0a&KL6987kQ~^qUd#s2p|T6gJaURo z_KuN}5z^?@c=>B%xdM$mFWDZW+!0Mr}Iz9cgL0DAp&fTXk0iY42VRKu8N( z@(}3h=|PDX6k9azisNhK*@76!@21M|4{R~1sH)2Fyt>r&Ax#r{aZA`XY5RD8Wl$`- zSj;-Rw6wJUyd#Em^Y@?xJU*K~VTa{JxX&nau8Ef{6vu~HP~?0)Rw0$si-}QfZf-u= zug=QKT81U!^~Yl;GBT3YwRYr@Q|K2++H3m>?>7G6tY8z;3M3d+Mx-KGjjl!m(#h3z-~2qI)sr9KE0&73jsB)DJNM{rVB*SH;-?98<^GOE?M z9yGRwQq!$zZ9`?XUm3V_^XAPo@OBR^%2m_WzMfXz>0MXr6bq{azL}nuhJZGn{_*kg zBh{Fgn6iJsM=g6-+-Vg9Fc!=dJu7Q=Lv_c(AsXsE#G;@4p%H(lqA0AehEuGR7Yx;* z400)_Zkgh;DJ`D~#`7ZmlQGll1A~Knj*BXYdWgjmhlNLlE>Jf8632siYIBYbcMAW3 zA{l;s{2qb)@%|b*I&x9c^Rha^)&^Ve&SynmT1nR#DC`hk-X)cpEP3OsFkK4SyGr82 zy+7F9HisbnubNO0QWkvqa+A}rTKoEA7S#k_LF*BLPDC3lG+dwcFdFfZ7j*A5HNU6@ zl$4aTNjY0*R8eh%NLjY%2C&rQbcGdxbX)cH^<8!+SSUUU3c_W$m6xBDh2?g*j;8kO z1vUDYw(O(_7RJW?oCbx}EVZ^0 z2~WFg6zk}ur>D!t_T@dx_pQ;_EHwBNnSgAHuSPH^sEIwPj;tt525;Aflkah8ho+pp5tKMb=d((o0Fv(s`cq-NeO&ss#&x zh=k-?pu9KKcScwQTE&K#YG*X^3JUq5&n(y7Fs!nFdF=jXMIflDsn0LAJOffw>4JiT ziAhPBLSo;8CPPF@`gQQ?&cNdXaY|_qiQ3~iyc(l6>qx35J{Z$4-4_VEttm;Q;618R z_Y;TYQPUD6vIT(L&gI$GJXD}#@OIl-$xa>VT$-8j0>HIHXiVzo?=Q;|WxO)*O;#&x z^(cQIV4!Jtg5V8;%wZNzPJAe|O)#4D(T~2Hv;?`jNJvV4f7wZn#o8_7)T(LfM!)jE zmpN88L`XmT*Y1|#VKNjjnVXxlgI;g?weFO6?%at`WQN+sk1A@$jTp&?E({wF!)Zf3 zE>34b@T7R0EatbqZUa?iY<#?Fbd=)j!%$f}yKU2C(?4aF*RNlf0gxUU6=e@kc#E34 zsi_GaX8QeJw{WG59zQz|55>T#ONVR7dOMr*?W?ne^ut?GX&iQ#ImM&Rf9TGt5yfrvFAg5ugnY z4JBKxwwbtt|4Sv0ADKT#1wVeU?~Vq>uZ zHbYjyrt>&vNJ>r~HgukC#6(&10^4fu?34psv%ax0J3sHEW$1!gT)m4cN`N``=W zZfg=Ee@8mBEsObPhq}2=zLQxqS z#=64eLhLRFM}O@HHw;WnV+asC2L}>Ex5X~X^@&PS3LZmwV`GMb!ovQ1EgmRj=(V-A zV#A_vh!$`Hub`k`O^u}M!KzK!QyxY))(reWn1#}D(kNkRS9gE5LTcoUyo8e_&mg>c{ zS{~XXNR*3R@jiGI+^;x0dwK`}FZck4uRUGmC`^sl=4=fj z?V@3wjFtvzXspB--Nwd-s!Kt>3f4ton3b2w%a?w0b0!c$49v_JJv}`Yj!OgtbW$kj zhVY7yr}Q}AQK;S@P_|kqFsz}{E4M*Ie3ECxz`&?)Yr`fdCuif~QE+t?gTk(+p~3Wp zl#VVO;`bWD!O@WzzK)C}vH4SmgP56{^Tr`%K_Gyj5m8a$%1Fvsjuz2$bb`~Tq}!o9 z#B_g=fq3S(Z?nL?-XCu>An18{i2x)NA6-VHJ(7_@^rT7~@l;TW*wL5UPU0d!b!htg zJL+>v3U_rcWS55CUP54w6(9(bkdmtF=-?nq%FA1e41VLfhEb9<%%H9{dFLv9(-XhFHT>=F_Zc7O?B=@CFXs(}1_ z4j{DlGxcZy>8>H%-Q8!FmI9!}*AETd1mx%w5P%IKJ~uy)%3iZ)qVLw@bd_TP`T}_d z;>GUH>VtK|8>ExFckkLAtUhCAVZlvxF)cKd&&0-5=iq<8{Q?MC_V$~BOr;=i?`ud2 zKR>@9r6?907eluV!3V0Up?2pGS-3nrJg8r61e0xhATOayK%~_6x2BEQEZ{y4cK`nU zn=||%3Pv_(xbjJ=R1lC_*Ati|Uso4b*Sp;M6>2=;R-!2>DJTkm7eeLcw{PFzx8#vW z_n=@i7+qankip_U=m4%8!zdx4-%deAm6wy3_p}o%Vab3p5$|>-2r4r~KU#|>qoXU{ zJ~(*2y{B99;-l_GTPSrl8z-k`XHi_%}LY236#M z@%zqW6Wk_>`IahRNdmw~FlM^O%~>T;NcDYEOw0)9fnlw?sJFNGs^oN?rzg@jXxj6t zroq9`2ml2IdOrz9Mn(=gsQv?T>=Ktye%1B$3y_zP$+YV{KGfKfIXgQeHw6Ht zK@2vwv^?Mfj4No~lf*7jbatU%{a#(M4s63ARTXMsqmTy3Rx+=(`cpkGbCI?3nc`S% zLwPkfW?Ru^Ds<41lT4`|r|hlabm5@+2)!p5zH<;gNf6!y7uZdD&ILYx=q%V)7R^08dAc6n~$Fj_j>0tMfGCLY z0{p`?*hdF z_T^+AJn++%vbMH^up3ISI|gK<7)su z_|rR6_$<9`>ol#F*uY<15abfoMO!2R?1lKjILRQXFaJcTnmB!uLCq zDwl$W;SFPfY`{>Ru@t(r|=AizS7-Khl1%F4!}L ziGuWQ-kZY3`6U)AaAqd+ZE26&E-o$zt6yKG&er+Qx0?vTZ9|@m4*U1hd?y%+huDRN zbsh%o^P8Il-?j1MRkF$ve;_q|f7Oqwkguxa^Lp?t!}!>q1ScjYM)b6|zY_4YxBt$2 zYoxthQTwhDGKoX0X!)(}@SfA^kW%)jgzEF>&u@vnWsBj|@rGoKVu~W~4%c-i01#1* zge{-c!_*h%<=st^_N;A?2q2^*ALz&}7Pg%r8rd%?Eq$73pP}U7P#Q6EGfg7YHYjU( zFgqNWV*FW^OLa|+UqdrDH+N%2GE{fuKllISJm#{s85xLzc<}+qK`$Y38yyQjN4QBr z36f3W&na1WO1~w5(vniBOjM}%^YI#DhCKnOv~QkX(8X$VqVxp7PQDO{^ROqWyC>y-toE9>I7>3(lcF>Pz%ykf zr3T15YZqdGwS>&O;uyN*aR>;=-~HP7gUm0P0@=7NLC{*DJmj{d>rD_jwD2B%aU02r zRAiRbtyC^yuyb~%xOM}AJf7de%ErEPmq(?+Y`@yr~;e}RKRJ{17^kw53GYJlep5H+fLda-p-h_Hh zbnDi2poxE%mga%ugEDqaO1y=s>^MqFN(Z}Q zA|j|c>$T~^@89zWeaZ@wbo1rK88Ibg;IzltjgylTNN8TMu@nzOsr*I_-BjnnfQX-8 z{=oy3Q;~?>41(LJHUt1NY%es9jF1BuyAFCJP^JFz*LwJ{hXYla6hY6;T{Kn2hS~!G z=wM=MYQHwZ1*u&`Oe_OM#G_491t71Xa1uK^`&gZ)^wXzLBT`d=vk-`ji|;S@qX_hM zsH1k>Bx&!0y&&e8V2iCSoK6AO7vNQ(Rp@}UFtD&pK#K%Zq4$rritNL}!a%oeD6YE< z0%2ai>MafoeNIu4e_;{JJJcHMz$1t8;AWPscL|7>^t4>rp7 ZJZ}-~_A#pU Date: Sat, 27 Apr 2024 09:19:26 +0300 Subject: [PATCH 89/98] Update jointplot.png --- scatter_plot_matrix.png | Bin 367892 -> 64179 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/scatter_plot_matrix.png b/scatter_plot_matrix.png index bcfc015eabb0218d8c259c6610d5f9cb9260b68e..efed136746ae3f77e06b7bf48a723265978b8ca3 100644 GIT binary patch literal 64179 zcmeFa30RKn`!@QTGG!K(1{zRNNoh_?lQ*PMNrR{~(4a|krVvT5(vk)=&xX=036TcP zp(JTesU*$&ykFz`{eR!@`}RKe{`Rr=@pl~7V)4Gu^W4vUU)On^=XqW0g1VZ@q6MrA zC=|*f>P|&X3S~|s`8kgP|3yM8PaVsAX&J=wfo*jIzhX(e9|N<59~)Yn{!G zJ6PJa-g_K8zWpOxn@#c0oX%FnQL({TkKo{#10bBD%Hn}=RG&33i4w6ACM z#J7X@r0OUOL}C;vP&} zp4Qm7BRKeMui)Hemj^l-6A}gnM<09ha#x9MJ3adFF(30qJKD3$Dk2ic?`%H0o&Hsh zzB^x-2=e`W@&8Mk;C*busuyKtwO7_D1YN(L@KP{$cYy3yJ^vx!9qTshr|-PDTBz=s z{~8@Vz4(18`U!g@<#N8hv98UuZ8lG4qflJ9PtTy-St7|ukv9`<+&uXH^b-E9TZhgM zwY9Z%T{~b?nW&S*FZdgB|_lVih4PVcJKr1#L$ z9XiyGy?u}p7(A1bY|8BGr&)9D14a#^tMUDrj zd(Pd6-S#TovN|X{Jf%Eb+PW&5`X(8LnZQLZNW9}SyeBmx8#u0^p%*A!tX>uj4h{8F%W`6#gwKX*4 z2ex>LG%%2BuEI3~eBEblGRo7#+YYYpslCLqb>)f`4o}SZ-+gK8j0#9~diUVi+kLrg zcnfEr#*De{jZmHW*VE!LrnZr!^i9#ddCQru1tn;?aS5y`^PyjB%jv7jZwJ$Ab|?$) zWO(bthU-6ewkxuuUUz$w>ykG0C2l)a%5lt~|6P7hdSl_~xn*77zJ1g0@V|I*YuwP_ zAgekr<&mnd$;Pd@J9$su)TA9+$=-IgxK+b3XfGdi3;+Dt!PgC+SUT;wM8BLNgZqnv z2e50G?r&IZBXQX-Ee@}Cqqw+kxRg`Xr_5%fj<%U6eI%Q1D_zv@NcraRw2if-|44yf zxQCo=jQ0%bEgWlNQun_TzVO;(kfFu8H2Xh3wdUhXc+?n}jE1FIQUt~n4N6uoM2-;lV>N|B&& z-Q*|Hdc4n+-m05?yZDi@eSAUO!A*}Bi<#MZOx)Ua{YqgOH_d_BU&ZSYl{vtv7z)h3Hj`JGNJBJ-#&vEAg7~^DlTlkAaC@$Em{erfB>Jd3D!pC4K=u*$+Lu zyibptD#H15?8dfp<|d|PEL8w9Nq=KJ524ip08n3ZVlwLTmJ0uyH}bDHm_Mn@J8N*?y|z;L$g$=mjau6S{yQ%SxQHk z$_w?*uv?Y9Ke#daps*r?_?F|$`_^uM&vU6b=dg5Ei$zv_;l$`r#_={)YSkj~#+#cD zJkY+rVe8iFuyO=lL^NKirKP1+ZDR174C^Cu1@0p@8J5+t&zdvwD~Fs1qZCS6QR_gw zlWOvUT_r)`2X24UE0~Z=D>=1}X=O0q`ZsYncPcV_Scg>@X33jM%aD`6w18zn5JT_{ z&b6m+Fe5YvUi|dlH>$;GZnM{Tisa;@SxeaLr`leISdR|2(W09t+Qma9>~H5df3lJ* zIQDkiaCdFevo=I{8#R}%s+g%cvnZQZ*K?_cSFOM?h;DqWIY+^4&@~?`q0tkh_cY`D zz1$~v6d7hw_|5IGjqeTl>9EbC6_(Kt;xp`%S9Z4R^WBDN#jSxR%=-7u{RImq23b1{ zGpvGn5)ibknjd;P1ka;LoXT3IA+^3K4e!42%DTw$GPhS!FnX(&yc< z!TR+*GlcGVk%~|;Yf-D3jnt~Yw;cYG+dP@7;WX#;Ix{mS(QdI<5?%$me0&2X<$~`+ z_uXM{tz^;EYUTc*yrqoSVC&!g0%51_&f8$wdxGb5%IZ|fOV7B;+g3SpK8S7cv`gpO zdSmZ=9=;75RH|e5Xl>LUUFh}s{a<@-Y}-Ry$;1>>8Kolb?vKRB{WJ0T?0n2?7Fvn) zn{L;#gQTkdhvTVVdtXPbvB~=D*qii9WZ&V^trZr?5VYtED>fu5oLjt2mysfWV(rh| zd!9$M@y6?`d*u@5uUKz^_ea*aE_uI}S;UsZ&nzas4Q$h%OOgM^_3HyG@qzt2cARQ2 zyAk*F;_4m*tvcUDYl1>T;(~%!4)--3h*I{~EbyA_6-i%Vou}MdoM$T>c0)N_Iz<48|hE$h;T2bh0dVNoBIpCN{Aq( zr#p6OHo5obmsC`weff56^MQ1;m#gv-$wGxqPOVo9)B7~IX4_GV%Od!w^skS`ufa#} zAlB^(6{W_+#0-vlux>eYrd+avjhBaKBR98#Lwji@psbif`|hX3#n!zIcXf=o@!x4d z*RI7LiS&F>*Bo-?$}66JR1lf#e#Q#`sn0TE>OPl6pbc z!2T>iZCqTWmwu7&BCVI#HVfoGqvy5_5hre|Nwl147vP{!R{yRQn(V7G^ekOvljBPzLf5_1r!Y3guB?U?GLla1Js5rWf+6 z#@eN?=Bzfjd6`|h`|(1dWc!DQ17z#M-sQWy#B^*s+OW1rnCF7*7===^>=&5sKDVo+ zMgth7CT?#ecX=itvqO$kPhD_?z;=FlnwnG>PmkX$A1Pr*1>ljv)eMU#dxoF44m239 zvQxxDXKrOwczW{YsdWl+X)2p<{j-q^__BQx>S1&Q{l%8B=MgcR{649 zpzfhkFOVc?_VSwLyF6DQ`AF2Cv1;LoK|w*PL)ZFig*I=ljR`TbdgmBB;Upp=5)>GC zE5z7q|K9DB>0@|_$^CQWPvAysE8GXQm(SzpTc^)Q-E2DhbV<2@h6(k$RLq8Zw`b@g zkw_RmWxO0PEKt&~Yq|eCqq5%Gb2B8^-#)&xaM6hJx2f@dr{P*%UAIlLvW6qg-rm8o zV<+Y1w@-e#%9D_lrFY@N1=g+Rm(;dTIs%1RV#~MCWghh~a+T#!QW*`Rt&HkzTyAE*y6bPp?Qu1QI?oSM)Lc$5 zgj~El$R|~z!cbI;5=yQ3fpD*4QT{ULPj7VE?s|@YwVaw51?19+VLF4%eBFIO+NnDl zhf(d*+f4Du?V}&BI<*DscH_v_H&0Kw1P29mM!5G?=Jr1nNXxVzc`!VlEuQ)v%b#r5 z*4B(YMHAuWReaeoR5H?Bu%T^wJ+ETY&FI~LD|ffZN$;A|&AVLW?+G6O*EQ{*8Rghm z8ifgDI0L{s;CVJ2Z!cU%c{Js*hV2@0o0`6+TvVHhrKP)3WxBgfPmb_X@7}%ZHr5sA z^!4?TU9?k$H=X+$6WFDl;|~{K#^K=?VN~E&xm*Jb$xFR|q@r%LBeMBD>!PBAd)b#3 z4lbBg@~vV<3{S?D%+P{4x31jk%{vr+qE|!p(!~e2cHA@}%cjD>9Tr$b3A@bZ8*Y(x zptnrCxyEy(X#-VNO|9;p*~_3SSJcz$_0lZ@*YAzkM9rBR>k%_631X;U!RQ-w<3P>( zw#pN7k-AjCv$D;a!p!$_*%bdq@j00#i<7b>{9)ga8xtpI)TvX;=P0b3qk5Wu@$A|Z zg?on%OLQe<^8nvR?_Du3lX3m__bV?w^_7%4y+nmUeD~pEZk9&J$D7Ypp7=Po_sN4h zTa{E7Z@s+<2V8iw@k0YnuWz@GA3y#D6^K>C9g|@<{}pNys8+Kbjzn4W3vf4ttz~8$ zn4Vcy-aoui?pa!I9!<4AV3F^RbK76~i=BS4L}Je2yIuhE$4%{8g*n1E z7@*oI9$|7mc!1e?!L;FmZOoz;S0wYjCdb@_nr|yDbdXv)Pfv4&&-0H1Cu*d4_id>> zXH&jv<0Af*A}jGv=}g5fm2w$s7up;ToLMBo?4xz1@Vp|b;JCHtOg5lujLOTC0s7q| z?cDq7=3l3+CU>mgu;E5^oA|jG&!4|SU~_!`XojI{Td<$Me~SGm;>F+9s22Q%IOG*C zS}%)H>$*UW#V^Rs&$~rAMe7h#Jy%KJ@{{_AmyL;s7&=y6<7ei-TG7LMx`iKC&pd?3 zv3DwxUAcfyKw#J0B^=tIQZzL+ON-aIiw_maettB|ZTwRvFBRNRs$=5Y7L?=WYH@LK zyJ+pD*AKr_jMa)$lWM)R)yiP1C#_&xoIBuZe9jDcsr1|SyK{{HMCm5Ba;!1g$Ny$z zcyHduV!$?!pIHQiK@Ha%6^1B{hE)tcIVQLryCz<`;K0UWMULO&n~%}VU}I)AfwuOf3DM& z2ahhCC0}%B^QHFoMBj06M~<(}Lb@J~_f_i}d&ZzvWbxH7dsucuyyx^1xmT}lDGVd$ z=nduyWq({g6n}DbsH4YtdQ3MMtnDj>C9=`jmw(Y5>-Hb%T3zt%Y_`W}my>P5#oW7i%pvXwu zR6Ru{rR())1wyV~jlvDN%5Ve+2X_UkaA;_22Pylr*2XtSUb%9!t2&ObIQ$6o4R;TV zd3>`Ackjz4{2746m$9BSYcO%N#o=-zxY6q`H>_W8^(NgiXQ*77X~9{?x5qLqzkP0D z#YSJgeEFBwfbCXDB<+FoWZl2ku)8!?#sjb1@e3!bN8w_5`x>y`AHgB(*7;&Xr1tpNPf0SFCk75Rc~4LB^YbU#j{?E; zT-XqyjvX7-vxq?ftf|G9o|`QbUTK<|AA-XTZ{E9irKxT0<1HNF>%_#2yEX ztLXnA4_bKq*#k`Nij;nlDU~dZ*NPUk`MG4_N|O^q6@w>aSY_SPBLG8&yQ)Q-ERZ($wpzemdkb^E3PWOS=NV#zx#_cX2@)_Q^@|nZf)_Rd@a$;Pv8x4e7k z>CWPNt2Rlu-a7lBaD0W__->AXxMyoJDHNYKNJxKNlYYo8v3th`Ukdf)HEykti9*KS zMJtyXDqWwjh~i_XvKV#h5>i`_*eexHzOhcz*}eM`PuFGXzE|SS9$GyUKpSH(ji+uC zuuA(lGL8fCd3_pcTsy_zpB;E>C~p`Y7uWOkt!;f&fLvl&7@I$btbSa$b0`6c4iUf& zUH;MOk;YY#mYeJR}&?QV6wf3w(?p?;$gxPtuhOYP2P~>oUi)^(_t*T*QCxgo3 z2WLNhr{&7u*RiDv>9VyL_2E421JwQEJw4)$6AmIb7EeSt`SZ)TLldMxGq1t^@{vXQ zr!*GnsATD;qk2d&%GbXkZd(VIRA=A5SOg71I7kiGXgNJ&Ir6;UrFQDf`a&bm@w=;; zAYVB8+BGEYUCha%lErNxysCvK(Cv)7lBr$OAF71i^OhXDV+%&WD&)J5Jji9FP`Jp} z{(kAOvf$j6K&=|BmX1lfX?4w0Uo*KQ%s~{e`u^HYNHz2tZ6n1I5>a)Y(oD+ISi+t6{)Hg*o+H&VE6p%>A4-$zl3)QdX5R-# zUu%Byc>CbkRTE|)CsLGQNvy(FqgYt<>%JPFGA$aJnDA)w8vn$r?Bzk;A5HB`D4 z=T~#`Yi2=;^Si5RQdDfq`|rG`Jq;Zzm1xn(FxCSfo|frtp-@^-Tl{gD#y3QIa8XtF z?5Wk-D;tBNfm?6|J9~->hpS?Weg=)l^K;?cJ^I}EoZmk`2acz0;Dlq#+132(*4-+9 z`Si&X3*ZghcTatq?c)WgB8`CyC|?PmWXGv1+PHAR0v>8tSJ$x718j6!G;qo;>zS0b zn*R&}0RaIaJfB|Qk9+r$11Fr;?br?OCjOt7ch9tGf*c_?`fgTcg01P zfYgMFvqx_oZusIqZ`fzXEFLN%e|6E4?FJof=4GKVfJszZIRu=4cg{VLv8-O-i{a_Y zs5h$KoY{DL(VA^F64NMZq5;|u01;mUnXjoyQ@+gh+Mo^lW8WWdh@(iDG52EpMS$(S zE=^9lF~#~BRxzoDxuNyZFTv810vv2Cm1e?>n%Zsf#RjLsIjcq8%hZ+v`v&VAbYWRm z)<43}%WL%d^&EbIg|7`4bFqCV4%>#Z4@G8PU`s9dPiOWSo6Wp}ra3i4gMqNLRQM| zy$>pj>CAWwO3yTulWz?n%`dy~>-Cm1P35lqN$*)OT$Xz5S)Xdy z?)bE)OvfW{OO`M8kJzsaA^*)zyNIOY5D>?Bfy&Ct!NqG@Ki7j$4E_~g*Lp}Kwg^(i znu=s7GygYvuJ@bFD3qmvzpnqD ze)>bjc7+%^Ul+{(qPf{Hr>5^Xg>ru5KM!2Nc%L-VV5HX=^~H-9&LOiX@`}IimYygh z!o!cLjdWHPJyXTUW&Zhb)UT#$V4vPT+<`xo|K}gtX1A>ZSfo~wM0QZv!a<2bQC$3c z69fpb_MM))q>j+X*y`PY8Pz(vhB1T|0Nl`0Q@gz5)|Dn+oSFxJJlXeCBSE`ilS8Ei z0h2=LeAifH%*hd;!otF`FQom%zg=FDedkStz#B)$K6}~W@Kny0`q56|KWN%?cryA) z@TTCyZyy#qJiR?(yt;P-g|c?j?=wIU$@a0%s8513C_d+vekXDQ0`OdSbFpK%R{aj` z8zzK8ag69cbL-C zH}|B3#1B20H{4mN;A=u)uXWB$B&oxHUQM)dFe>L z=lp)r#mM2<)T*={x771P{4ZQc_#%W9MWl=$F_3J3VCfJDQ+E$3<%diHH}O!RYG&j> z&F7l=&+oEM%il*!w`r2vtas;T`O6gGib(INY%E>s!?EsI{v{Agl>fQ^2wJ&gQiL2B zyEigb(xIJgASg$uU_vwVom&#h#p_2R5)i%f?( z!HZg|F6DqV61Y@X^i{_i4V4%DBLdsE8xw9#ZhFFj+!Lg1etuQ)M!VC84j;CjWG@&k zvkmQP5=}cO9G#pz6D}2tUow~a{{53_`SbKH{B)TZ+^smUT(VL9U!q z)Ai?{C6li^U>)EEzpObkqI37qL`z+oar67JuuH*=;{z(}1S2wJrkGwSTBK0K-a^!~ z3+cYnERA-*gJ|I~T+S^TN2hytY|ilOXKX>vqXv=`_dIfUNpenvCEkVDLo`x(y8b7&kgLWwKwd~aZKpTA2Dj{ z=+GU{YwoW8|d!e-X`+S6LDTS?zmK zwnr|I>7S@HKHp1!&wNy23aN#fta2+?VzQ$}?^qDiWiAth#Z7(RwFJ0BVR1|li;<3ykJvc4;n~_%O8`5A!omzb4U!lq<N)P2w0&5T*A zLEV!u4eBxd=xY%aBYUwlFv3*A2oy}C9V*W}Qo-SXOdF6oEQWY{;L~yWXujWafm~hM z#scFQvvqJx#NUbD4a>m(N(vV<3!`YbA4^!!(i9j@L{9w$G8CXNbn)BAKDm{4wr7AH zj6k$G#S~XnS3806)_oHtLOJKF4o+3p?TawylG!uc9WSohY~|VHSD|Z=dTYX~&)<4OWW|9lHb0XPa^=Z>y@~z;Q{mnx&B{Ni{$tD! z&fZ{XT~>C%*PYw3yM|gJGjs`=IT+46QhgAwnB3$SEzi-mkl%E_$HVE#WinM9JHf?R zLV)m|2VbG4rqy;oN*OmFUtQmFgQv#K>Ug7?H2voX%3Rj})6H`$cMC_0b6^l|t+EmH z_P1{eDz5_z?PgAGdm}(Y%qbqp@M>6Pqkl<7bS|pDxr^Bv-kaqcrQME-Vp_8%DLq}( zsjqQAqG7FMM;LcOfxYeYx7Gk6Y1&SCpcIPto}S8qZ2@d+bZ%eHE~q(LJ9g}d`Q-xQ zd`hD&CvKK*F5KFU0}b)@@~z)Ij9}~G7th>Tc<_1Oaf2v0qLh?ouoT|B9hKOZu_TBA zE)ssB%$;VuG265|)u5Q{RP}SJ4P;U)ZQ1!8i2Tk=VvhPlRuEx+VAb2KEb{j;6H(4O zGgjYYEwP0p{Sb!hcFRLVKv$UvRrlPO=}+uJ-V>iAmqhNRT@x}+U2SyYuW)IXI#is= za02S<_aJ2xA=mR;%ej&lFDlP*dc~U*`Re5CGX%R#qtUE9{2xD_PFabAa<5V>IC$XP zlli9#mre_H7ycnNqzHuE;8a&VbZNq9Nu>2GVGa#Wn-?v1q@J*_fwM|@CA1Q*(=GD? z2Qw=-vurwRi)hHzHg3g)ow5o$rI0Cir4-~ToOM1vJ}S7esuD#IzExFKM78bg>{JzC zW9pEeD43q;*iJ~xhtpH;FMHU3NEL2WP3-j2V(0#MhCPE!k+#*b{!eRX^u7NrSu9xb zZzPNLTjaOeX)V55DBl`b=;M&ZcbfM&^Btg}tVn^&cE$*db*Y9)-@$)SP&BcbK*;TG z%yx*`E`o}y9-7gY4;O{301qHv)EZ9>u4Z>A-2zR!K4AM)JWjg~%7g{8XXZ?PeVbwW zg2o+@dJXmyRQi_1m)XHUtEYH3z#v)HRaK=BH{$r|O|8dK#2mPjbp2mK0cZ;AtBTo` z;xwaWQ>s!Blu3Tr_p;B%EbuKMoZS94Xe{UbHKDO+b@*U$v44C#p;>Pc3}s|E zdhq*VZy<|(9AFOSGNeG_$R+GVy=ykAnMJIkI|2I1Is9UPKrDLj5rtI7-czIJ)0|%L zhHT{JRicrY4ZeLkQ3TSkTj#BFU+{sQv~sDQO_Lv17YIidK%eBLN=izGZaWsb<5r2d zrNoKPH|ceVpPye9DEyuYBWN!C^tGg%*LFT~hd@nrf=6)_(m6feO?rY(0=K=iCa6DU@XT z@&N*y(U*-v8Eylko*fnz<|cGCJbW`1WRy;XKy#AUw|B##j2tq0gkKhO>egmjwaN+- zH_-xuN8P@3-U4%2m1l0Kv{!C4dj0OdZ{h@5W7pLh71@;jy#;8{Biw2xijO;?=fMO`BG!-L=kVL+seKw6PPu<6?%#hMN)~_DE2q}Qx)0;Fi-~2F(}j@k zx0z{1u5C=7Kr3$^9J>J*EM%IR`$zT?X=t^fV_@F9?zFnA(5c{;wgl5jl*SB`A_n-y z`S50e$LiuWqG|x6r0T(fXhFCELh;$z8pL>w)QsIFsOV4<9w15}6#bZU9B$9^9=r{d zf#2`V-NWaw3kgrCTG96LV<&2V5J#1ei}cdmP`1)FM3;B2NAj-;bPT(R;ao0amrDQZ zn2A-~_ zi}S%YIfMP)(+5_p->r`Pz+;K}Y>%ESWRO3q!2xDplLkXY!%e71Nbv`@ZB!2wOKpa= zE}$zP1X*~9Z)`hO1&xcBJx41C_Gs<^ncKu=L;He2L;!ZXHJeMLJuaS^n4fAWF^{f* z{n0nj+dDHjxb_q41$iwK87T!Tt2_@m-QJ;Xfkngh4L@DIR90z@7w?}xKX~Do$p*S% zRpp4?;l<)-1O)lGsbn*omxm>c_ZJvruLe4HUhb}K(#iMWd`!UjTuu-5j!5r^qm5wX zkIFTJYb*-6Mi!xeiBJ)<0whJC3%~&bZ&w;;%FJHSCE!_6C z%lghqcgIJOO8WJGrYlor9(#giBeohy0jA8#8TF}2YVfY!$bv!XG3T!*53A5wG%{!5 zs!sSY>QNl@%9k!Xh@1Hb4Qeq*>COzl4uhjckG!aSDmADv7-NTIwc{rx87Qg`+uflxJp^p2&X zOn+D^7mx zK^H1mOU6GQwOE+3sE@1r5FTNyHq9#rdm<5T7}jk^|5lS5HHBA=Z`-y9YH9X___hx& zCq9+`JGuI&ydef$RDMB0a5G@rlOj%hxZsxW`~5v@1wjJT`$c5aIf|*s=?N8(qfASl zxx6?DV|NzEuMN{kcq%0RH->G$LB{bn2kOC9}(kNN+| zGkY1VB=XE!DmD)ZRY@}Mn9mh}B8$KDi;{0C(pWSCw&F$WK+WhtjtFCv2BP88`M=)w zQaO<5Ay!7~u;9K{;FmZ3+Mx56T(-&*I`AObC;)6~&oAzZPRYN+8+4OJM_Tf)&EfO8 zB_r1-7Dyx!3QZ>#B(5n2jJf@SAfqy}K+ST^{k^nLHR|m$q1}+=@Xm9@kg5r3yNqcD zWvS%v%L)ZlzG`Y)wUFU7*+AQD8ui+;2baro>^*Hf9i*j3CobQ&HNnWoCy?~0PlPM9 zxnD%AyDf{7TpiO)r<0sUyG z!giukseSX5D$l?DWul_%F?yZ z8yS0EQgZKKxcJ@+(U;|EX`l=tV)PYEd*u(;9RMI28!4FH98k|tHVk5$h8{Bj76fVhC z&14eyyUQuwPFJl8{l)#(o$Cp>5zF;m!FI0JzQAa+@efg*2z2#%MMRp`hXoFa8_*B- z2f?9i66R4H3VUDn_eVQZFszCw7YXYRCSSUQ;U7YUAz-;Ny!mod-wso0;0@bCj8p&q zn|Wvy-k72=4)|YT+m9k!o>*{rEP)Q(I>KE-GcAx{X8+#QBwm0qs0fPyEer?2GQ>M7 z4d&9+OP3g3WjLS@ca}@{2UT4=zh9jptTXfmjA z?FiTH%0_RXd@Zs=d2+Cx1C%X_)|G+ia>4ppXA$dwct~WA?~v zlE0%}062Q=b6PYkaN2GjfUd9tp_@bl+Hz26sJ_{2^wsRt%%}iY%l*%&OZ>p_ZgmAo zQpeDoSlU&Tc4Py44)^$A+sm@xr4)+#zeJO{FuioW;us@_CAh3#AycM8qpuD-0uUd3 zZ9jAxo1Cuo@Lo}Af?4lRwF@v)e1v!W&VS!g-jl$O9UVQlFA63eXAOsN4DBDsZ8)=F zvdm-R-b=x1!r-}HmTYIvhxN+u@@1R4oN#y*|L5W5e^D}nqh~!T6*wYb8NjY=_og}a z-YxDfoXeRkT2S93)?wL{lVM&F!5)Ywpy-|al@a<{Gjn}%#-0j!-6EvaP)9|5X0w+7 zT+7H%q{`iAU|vr{;TL3ItAN295pAbaBL!u=#t+@bhWO5X6!>4G;8je?ZURq z-F25euJUz2^)-6a%)Aj2X%v1b%9c=+g+#u2{|=Q3Ssiwg^{}&W(sj{)GXIm0y+e>M zzyBzEq@j{k5hht3HdSWprS+-RUt>UQ2HH}8-OW5slDAbC_wg&lgcuZec?9~nT?_h zf9^W@6A-P5PBH9;{#ZTYSO0E^LZS@`vcC%bp@-NM{Fnqtv4~m?SobgJO|?L@VvxPy zEYr#D#r72Qn)oI)8A1GR*&PwqcHv>lN4BdSIQ5-LSA)MbkoGIbWEp8b+uR7t*xScy z^7IZpq9OFgb2l~}LY*Bd<9cs!aFAaXI&uoKy(R3=geoWA3OHtOmC!p1QZ@1V1WbQ= zLFgR?=^!S4bQF-v8Ach$cdi|Ll9Kz8rt2V{e1V(83e8EZ($2}N1P$VeAI!}kVTh`! zuOA8v-D`bsW6*(D^Wm>)q<6>C4Ps6zMfn`izrfs=1z#feYk0D9Mm=Cf5IgbtAW;l`E_C>1A<^1-6Co7VghL%t${Pczb;w6)xga_bV(5;?<6Q#1051~=DWR;V0Yrv1C>Pq|6ol9JE7i*B&bxAA zh z1B&*`7cg2zt%EpVzc&8h^D7lS8W$~4XFLjge(=m1@FZU}k#G=N9cl9FX#X7?%^P%+@k37mFQ4*1bOy>oTspDcF1vGMkc< zBFs2~6!pu#xn~zFSl|d@+ZrK<7EPM8VX4R-od63}DmzMAg&itn4d-*T>tj-_}j6`%Q@mU4FddpTJU?*mfvn0a%~&$pUxfhM#ra) zx@PRXE4Lb$Bg133W{!HiQ=OjK!o>!m&ANy!qUanq;0=UVV9x+8BI0IcgW}o1z5P{~ zjPhaI{fnuZMn)0nrcbkdII2v;TT3Mt1EPgW?iFUPfyk9{xOlM>d>Po!)@@o>v(uvTChNMCF5B*@e?JMY8%-EmZ+)*Oq}vL>mip0 zDJ%HK0krIzx=1b);N!c-EwE{MIpo+3lf@M+MW9NGVU-nimZ25a*&k=vg#>W&n27{S z&sGvucNgUcq5XJ*+{@_bY{RpNZjKyd&UA#J)76 z6!h=^Ex>|)qdF9x_D_NtiL)e9GXKQD2i6V&e*P-JKtU==fN0cU)fGM3I&fm;npWLI z2I=T406!wneWfryZIF$$6Cfs$wOvgDBFmx?x98A2aFA0D3U8#6@)8YM`W^4HKGJrT zYJGa=HGT}Xu=ElcK=>R0uCg^x3}8dl=^I>3k&mVe^xsn)8E0?;%3uaDBWfn?OA!TH z0FaqF{}OF-`v8zsckiwNk?)9#fq&(Kt_N>zs$q2yvv{=@Wnm|A1?9O85mUdal;eUX zV&{+U2eBYdZzTSHkrS5&9Uj{$;u|8eZ)*j7fl}z%0!xx^dEOn$^N=?S<= zi-yp+*&s_Dtddv=EK>zwkkjc6Nz+r4V#h!3L@2hzY@N`pM=qn&l8-v}$<{k*ptV>$ z(P*DYZ!xFSkI=$fWEFVrXAL%gk&AoQ=6`cj%)Yn4;cBC+Vjq-yw314OdyRGJwBHc3 zz82xu%}1?5OKu{ z{rgTv+W$*zZTakdZq*n%S~6UR%&AqVK@WUV_2r@WY1O6N;OT-tSkuJh)@UO{d|vAO z`SVFOO4@WIEG!vKWxHsI_M*1$WOg-!>$M@{KIok`K4Z69jF$X|5{btW9wNG_Y!S1t zJhD`+pm%pdTq4+AS~TyjYkC^Q;i~-4?<4JI@YFei_q{GKQ!L>`Oav?>)GCbEI0lmu zOjaS=Kc!dmP^De^YLFOM^^c#1rhtaiw$;IjaFQ6f&Z8WR+gWn3%Ud!`mzhW|5BzEv z%?~hBUJiS5zn5YexXxtWhP}KeZ+`e$;%GV>UBK)YK&wC|^f(>PmOLF( zBKg}(1u*^oL`zU1@C=3Z^sW-UP3Y>xt#9=vbfTmu=8rf?$;myetH1DL+|j1wJLdnh zVMlzhE2|uLVAxgLaVG>%k|i%;E(}29e>99~~uMz=zvew=c7(H=6xo_*7&^4{g zT1q~#Y|<$+i5w|tuAiRTwYW&obS^+}r;J(|(J6D$D-G_WG7SC6JVHWyTZ;qe#1vI^ z@7{XiFLBME9_JeOm|kceP^{I{qtobMG$7XfvS)ZBZ_L-Ic_pI@XOV$as+tR3lM;mf zG)akP#qJCaT50Vv-{-=>dAsF{SvJ*%6%7n*p*=Tg26)JdmlW|z)BDOt`6D=V4GfYyJ3~+BOkD1xS%vrS{5}B5DKzsx_?#A{ z@>TtdFKTHE#LO!}D_;gOt(qUgcrCI0&Y$HC?#~zZ_h+dhJ>$E~pg+#X}Y>_Y~cs1aps-R-U19@QIBf-o0&O{D|{GnTglm~i@k?w zScx)`KV3|F!;M!=LreSC_@4Qa%9+!4B?lAQ*%s4_nvcRqRh-FisISKrNX;ZY2VH9O zVPaZ0;ld|+i%c9s-Po@B>~1kf5{_NQ8{llK`qXeqLod(VP;HNg=r&rV?QRN|h42n5 zK504IT$ma2*V!Gu_@`ONwT(Xq9xYl*@rhk!!?FqV1I2~pqImX2BMgL`CwazUi3e$Y zBmIB+*ChrDju&PCpP5XO2Lk`=#z^mU6+vQy)qK_V*UFg*8IdWaxG5gzxi^E{qIR;oA z{+xESCq_Dx(*{|T7L7=i2z928$#^cRB}X(%|LF(qEt^Ye5NzD4H)gyza&n(Dzt_$sDCiZ0k!g1va;j2uFbBXF9? z5(1kv5ehR0@j$NIjmVgyOM%UGm==wkgm<;)mU`P7F*bA=Al_W%L2Y39rL%IC4qWi= z^l2TWU-YI|R`hP!JWxIDdkjct)iQ2n3nW(+gH*f{q~>cp#2kWQd^O-izu<~ipa64P zeAkfqDa4jdT$1!OOvY46Id;A>?MKYb{DnZ|Cx2Hh@0Rr^8ifZ_6m&sA`J*A z@eErqrq$Ml7nF(dG=D5F{at>33D(p?j0FXvHSogwEflvOA);A&|%_iwW@ zedbe7g+I%tyPJDwf22ny#z0yT$Y~WAbQkHrh*txi07&NQ=(TViP`W~2L?&dOzZV?dqHQA~ZldZVtzI|N&okjk7F^DbpkGZ1Y z>VK9?|L@NmePru0Ltf%dfp>wC`zJ9nJPQF#0~iLq>oqXd5Q39i`I0((>rG}{r`p=v ztsvr*l$O?*g&4-d0AAWhqwIt)=qhpdq!?st!tJ85aV4=#IzlY8hC9j%r>cpUYX`=6 zk+~tn357O-^@O*FACnxt)T|E+43EFyh5YCoazU6lu+SYM4=d0sl-L?QdAHPe!pTnnZmE?SGN z20y+idHFKw%L!-a2hho42z!s7eAw@D|1(^++NF z(``Bz?1n+STNj?1;}j~6oJ)9g+=Nco02B*L#8o%U^dwU$_e98K^Qq3^GWz`(b!UD& z#w~Ko-)9o&kXZ$AcR=&n3n=&|-#rtEAsU^U+62h~ZDn8#+U0$U_Ya`Of^Z|bFDdGU zrPsF(f2rQPiv~BDC>(cWKp7Y+;?F0yOS*JnuOt>bbb3qN5KzuSbyJh(H7szf`Jo}L z1|uyE-9KfJcj+}XdW0lu(x*U{lRo|qN(g*oWjfpj@Mh(etMIV;-lASzf4%H0)R+G} ze>5m&*0MOcX59x@D{H#9a#%lh7D-ktV!v}9Ejx0aIoZnx(DB`cn-`DlN2@Gp_$Osi zLR!-v;}~=IZ0pqQXQh{6SX6`_R%W=K z>j@ETyHH;0O1jBPN$C^w!srlO#-S0_#D6ekyT=T*T(W22UpM>!XV&&2{jS~LMTXvubHRE2n#~cME4G4>ejJK*S zuf|*&2RAsz$~0F$t``PIB_04Tc3%Dz077{q|&nCkoxt5eIC zMrOmtTCCk6_GP@pStN9aLh)gz1~p}^_cRe7B@Ef1kN$%@EqI$^68Z`y4K+2ZYGP)P z;K*^}{S5lBLq{|gzBO1zq3UNJk8vIALD{L_lSigfq~;Bln8z;&OvbAkgKI7L#tqWj zo`939)1J^UyJb1M#U;|Effa^WU5D8R@ds@4budx#)3T6pIv0zAs#dC>Oa%juB;yK+ z1C-2+ZMb*xe9fzVfwwO#7A#^9ICmJkhJ?33dI@&6;8zKjnxHy!HyNCWPzRwb8As4w zk?Z|Z=WWQ1Ni8=$uTo_17U9U zeh7v&G(+wT1Tbde(S?lfkY9J+nnhX$9xr^uoQT2t2r|!MX2}3gS=@ zhJTlJewH>4SR-Ek%xdZUuYFBP+b6sBV(bf7eXfh`4S|{J8tChdRuG>Y2O}V6@_6>p z-Q$G^)e$~o(8wsz1ZfI_?$M#ue&?61SP_M`#ZHLO)i_zhDE7J$2a-kif`g{3RG7z+ znV@>+qVKj{B`!Nvr9QC8!>HKqXk=t`+Kbc2*W0+~)F;y#T}*Sr9Kltw1Tkl(Cg5JyUN4};B$PKyx`a=6+^Nq4w=*BaD5MPE^Ypikj^Mca8$-^K|uV4BWPJ zhG+o>@K6a^LS|3FR$>Lu66wK3#|-HPSYw+<%xfgs@sQ!T?aGHNL@?9tI>z+Gp!-1& z2c%|lq&bb`+-C3Td^oxkh@Y4U3@~fo?n%v6gZ1ZruBqbM$ciIs?lKV=Bz$6pa$Ww6 zBPP-;&IhGg%1#y>l3(!>UceEW@Tr zAI-dEgsx5Qr){$1z4vjin%F~_NBDg4TG3p;kPCc*f*9WH*Sb|oD(8jOO!e(YHxw<# zS;{77=@o=>T-9!_^3thBr@uf^*31n+zbJ+P{#oSm7fW z0U#dtGGO+sWYVcQBqEa8jep40 z+&r{8J3G6*#71AARVA2G7XM*nGx{3qTm$6BEF7eyrE_0c?f5u`vZa)sJEZ#2UKmgM ziK=d~%ZC^or)phe(AKo~bb}0Rg=6eLbj^6RzGlkM3=0k{kRTRFvJwmQ2wnl!Wlte_)s2CYRMUPC%C0ZFt;~qk0H7w~jkuCT(Z%%pR zx_Yxd59y8wPVHE%*G76V$>=^RvCP+?!GN{H6Y^GR7u-zST#v~sA&Tk%>X6|#q}wY8 zRuulG6;X}2-_l(SXspP}emVQIG2YdDBwPpZUyry@SLTfO<)SN|mr4f9pg(f|1vu-T zcMMr#1Q2a;+jC+8Jay_6|4=^GZLGdv3VSr;{sCl?WG5~WMwGnh#HB6v&nB}M-;Bak z!=8_TNLy^^K9YRD-0A`A$>aZ=CcHB7%LLx97z_?%v{?{p|E6BCnTQ4Qru4f)SNT0x zEz%}#2|B-h(Kf4U^k}L@&GMP|6+@3SNeFs4F}RDg&Qy^Z52y%2q*~6bAaj4=@p>!M zEg>eRL{}A#3bfx5)aY94a?Uy za-Vv#T^zFp2*XZvJ1l+@_}ot4H8$$Vljk4$gqP$uT2Zv(Y}G#P6J&!N~!V37Wi2v=oXHH|oW;QQX^&K*Z0 z2dt9@LTmPPBV5oSCD9_#7*7T&XBWlY#( zThWJ%C?b>WNNq}Qh`DEW5tfi3*l~!to!lkdRLlW)4F6YX0}Nt5uXl9Atn=C&Q4^_5 zKa232g&4W~^Edx{EAl&r!p!M(H}7&Hzv6#auvP|v?C}%eXeVr$?%w+q`vN#*Yk)Ww zp*@LAA8(4O?L^3~A}I?~7v37G-iQ675<)I%$nQx?dk8NzT}&^3fRcsuceBczxP#c4 zLPo;j8|%`%C#~}bo~;2icMh3Hv6y|lAsaR_v;q#_Xr55+2y?hhdY+K}>6HxpvEYs@ zT`tI9CI6oepJ(I9*FO~U>jA;nu5}}0!jT^8A6(mu(ESQ2Ar{tMSQVdgPJdH@=b@+% z?H&G#4AQ!&*!muh+kk1fUE%=lmmC2M&W$DTh*We4@yFtqQ(iHDyyHLynIe~wVP#1& z#CAt!0umnsNC7e+qd|-3l_EBn$$Jz=V!Fa49TLI<$f=~POy~b#@4e%qywmmJQC7@a zV6)LEqF@;%RuoVK1dPVu*w7$ip=bnAks?KUF(i`2AUXySr5R!a0UJ^WL?coZPz0o- zl%bC>zyQMx?{yEtYO>kQIq!Mj^ZV^5{n%owD<}h4974P@I%kx*4v#XLuSkvV)8=sLf00qz34l z*N`)c(fz56mch}Zw}^rRthb&GH5iiKB9@pWUqkdRGTn+O)$H}_FW+`l$xT--9*LcH zQ)Z&`{dyUNRo75fuyDPw@9xbQ4Pn7c0K<^)cEbM!H2GH){ET8&A?{Pci3 zuoN}-o+C4m`WM(xit3mO2v5{;_$`YNF?to@iRIgtFd{}}?c?_2WIDW}obJ}A!K!+= zlCG=e;|d~B1s9`a|E`;2^0Ukg&6nGj?A3^UC6j3U>8HmvJfUs9{ne|jIA4pLN=)?b z%wRnDK(2KY%9sOHZX8olcbs?3^CLk&1E&{(%`3!p2&9zgFlZnT#7u_%r0%BbKDmaeJ4|3A@DGg8B*Q2sSg7H=^Mr4m zEn{6nDLoDFDfq9G)+$6-e*M9NHLT}|`PkJGUwW3!c6>D1X#4Ju88tHafu8Wc!4n(A z426G0Vr}Jn`*VWo|l4m-w)JbfwnqAEoeXts=|Jh-Q?lZ z?#!A)sxV}Zkfn`MWPGJ3M%@jW99}}g6C|OW*9~`V2qt(z%o`NzqsEPP+QsluJ(Cfr zvDg<&M9(34iB{r5u{XBXs@DTZX*u%{|Cb*`KNCEW2~4mJnBBuMoW#VJAw9xF+h%(# zy>R@4TXb5WX`$&QmmlZy{+5R8ToPUb|1I5ECB2%2hC_#AZMrb-Cji(m2p)t;lwurD z$jpesRaUSqBME`iCV;rHI0GFIu6vCWDeCrD`--@ROORxYYz?|MEh;aLVkC~1^H}d- z@rJ^+;7g_SZ^#?9zBHM9v9+V4W1_1SgE4lFpX{ML>sQFeIP9!By&W~b`c>RJb^U2` z@81gHKOMVOnSy&EyT4jdVN472EYk_|R#K%eFdYI2-f+YMx#+w`x8eMLN2Cv3L(fPC z1A@vSv4G$gNDF-eh|Or;iK@iqa`Wx6GW8{MQW_ ze4_@eg1?*$p$K>*j~Qu0`*xy+yL{myIvNAa-?2B1OL)HFgkgA)W1}jWX;H>sIe-5A z75DuNp95caZv0SW*5UUIU#lwB|A3d)Kpx z1R!DVhddd(sZu`C!00L)K|w!@*`vN61cG5$HEM&SK(?k4Q=06|vw0G#Rq}zfuVI6G zt-tyYIOwwJA9S2F8+hfG~j}U4f7W*QbT8QFwYqv*N#2dl95kc zVUIB737ir;T_N({TAzf=rNko*Ck920_@j7w{t5mWYzyWRwjyyQQS0X*nYS!$eQ_Y)b0ultE4Bng?*f(`lDduu8A z$MGPKk5>U5WK`-FX6cX{I!2nKRIs-p78GZ-p~ zDpxJuz=hcTSXYdGj!3b?hY$Ojj%U=Ysu_e;6}*6gh0zGT#gW`q|ksKv}LZ7cyCj9&e7rgVSe>f)wBF%B}s6n{lefbuW3N zH^XWBWveTihvwF%^79OE5kz_B<={L0tu(79D&)ru%1y-O;s}bG<+q|Y_abN=!5qKn z+gg6kuqf5vLL@^o?#~jsi0@tfa0gwNt#I3HMeEIMN~}F)Kv^B3y1)Yw-*MXUpnf;P zx1Mlm%~KCeMdArrMbnm+0U)sO1U2Mic}(;ie-5p$k$?WKKG#u<+46G6fd(orxV(vV zy6e=kgXK4EJe7wu7KU4b;d1gC#(|X@1Mo^7f-s#9JUk8CCX}@B$QZy6O*uoAM<35{ z@>cbEh=`z>Kj1(v4KamXCLqKbxk@+s&TVzIy6H-OXh=G}whws15?jj897|X)*j{(%~08 z+i~^IK5<(NJWS!{{7l*irt?95_}~lZQEbAh6sJs)h z0P&c`q6qgxiE|dA-G8w2kwGcJU7@&7x_67;803-XiE=Lu;pDmect6%Dz)&Z=X0&8G zNO$Abbr7???qtNP2R7T-800n6N=d>>X?;?IM#w}~r#Hg&u=j=y--o$2$k7k^UY_Vumr-ES5a7B07`NR&=52H56UV&WXUa4O*iu}KZn zx?4*P(6p-aeld+5h^^hR^7$bb)C%VY6c*|#!=pRLx8>@5)n4F;g~(2N5{~?+Yj|qc zK!TnV$w*GN?!rkL#=CdJ2EWMWG*Tc%8!q}DGOy#;>E5B5uPc@XTEqPf@s3mjtr za#~_M^y>i)WK7_Xl9DEAt>KPEIjC#k`z{$snpF}L-75@mOy~skS|sd_-Y;1UN6hU+ zYU`xsPh0{!Kpa%Vest~65mJYk__D;WMlnu(E>jW^7+wN@nmSQWlrI2VMSx3W>GwgA zETG8l&wPBJ%^Lk+CvK^Ffnr%4u*Q3Hq%Dyi{Ah|9MV=gnW1XY|eHAzfY#rQ?skuBB z=}YwFn`~MqCV81WO8Lps!U7mCz&A5qN!+Qx@F|R$x6fqYNywp5mo++kkAfNqz&vzM zYV}`c`n5dH$N zPmd)gIdI9}jqoZ%Y;^d$ztk~0n(ub(*fIaOZ3v~M=%$?ge$g(X#O57qkP$NZqmOVR z!r*xiI8_@Dnc(F0v$}Cr=f*%PgK@@xLabu6YA>$e68xmSVh_k@tq^7&cmd|EH|vI; z9xj2Wp?{|s74nZ1_i9ouJL;Av;kX()KTjQhUxUt{cC^7eaN{wX5ccuRI-zn$+l*gG z9!pE>xqZER;@s}RSwC?@;NRXQxbszkv$>s z(;c{!(?WDREPF3xbqBUu^qsif%pcA0q3^8|cjLyQ&B%Hh=%Z2$$gpwC)7P+=_)VAm zzo>=J`#U^bO5xpx?(@npFvtnFE~W8+|`ZKd9`#o-<5L90J${eV(A5~TW&;BKU7G~?1KWGRLIjOqt)Mbk;;w57UtkQvcLs^V^YZJ&!c zsb=4YL^=>XIW`x~Z35T_70I@Ez6>M}lF1bjErnMlLo^6N$10`>8?+?Ri+G5S_8M>j zZAE4!Hf4}Bg6xY?tEPZ>>ib}O!L6qvIF0M9a#dg(SuCMI=;rDU?gHA5`;P|3Ea2qf z=8zn)0E=y2`WZ}IsDqe7rb=Skjowt5@If##aeQ8Sb5t}|;OePxt3HmRs?waWB?6+J zhJJ`nu@LoQ)RS_kvqgRR-VF*1KUjzj_QBC->!w^sMw1&>MHfEG3MeFMNXm@|MH6kX zMPnUC)EGf^Vdde!E%Nj0__mTkHg4UA+bUCxpcMnv4aVdPoE}b3mzU7k33A$6$C{_& ziX|L>;h3X9wn!gH&jNM50d_75J;SC`?FhpWQtTd)2Ea}Z<5Lg`L?aI=(53N$RqV1j zTkc&dR^YqM%U=iq8`|GHsq;uj^6=>(CaR!8Z^#Rc2ILQ9q3SvC+IS%QeIhSH010Km zNHP1+qnUE&(#PJn844#IhDGkT{jXspZ@VtTwJq(`P@5o zPE+9CY;8TldX7u&3fiFU!Il89km*GO9m>C1Gi#%lI;6j=NvcZ;sy>;Kue{EaJ%hY` z6kNypg4#+1nrt)`;xznGA_;@!rYNtL-$yA}tmi=8?;dzMP4ZEgI`j6U7*+*#x=)DI z1N4Tx-4@{G@#H2&rM#lwDK{sli{f?I#9%K3&6Mei1Hx)coN?0aXX*0878Z%GeL0EU z)s`(=HciJPQDRKCD#^QDf=)8pRg?mpxJc9XQQ!sC)_Zn9$-G6PJeCB)O1=a9Gj-j& zy=w*~`~}LSA?oCEW8*!ZQYP4h;n zoY*w;>sda(OdcKc@#u-mii{`6B`i8_xaj-8@oztPaN@_7@slUtC{xqje)mPoPq|L+ zbKLf?wK_iTm-T19y>|EdIi~T48)yD~{5+XaQgzz1Y*o{BKe+l4d((lewRum%^0|uP zc47Qh&mH%KDST~i>)QP6y@ zsQ~eoa1npYk9Y140DoEHn9hi3hO6xb3||rH+Y%M$L96v;TQtoWXt!^N1nY1uloj2} zE0r17H1UeM5ggEHJE`4|wRY`V8Y#id#u5%e3#wp8L338MFaV@C2&EZ@^L$4|Q1-FN z|AAn^)LC-_MidIz;%1+H@z8#BH#*GV%bL8mzMx4*;RrY-6Kta2U;$s3s% zy_sHWnTN!W9}zmbfTe<9QMKjEXXKgu#b*OM14ohlR3GtYuS^RtcIG@Rq>C|vVmI3C zd-=6-?v*W_*Y!OYux_KKN#%L+a#5^y-U$~iqRBW8kj`5mCzZu6)YsJphS9gL(wos3 z{q~Xg4659$(kiGnh6-p`$}wyDHaGSpEHN8+Jw*_#3e|>3o0VBEYT}lgevGY~vD}-H zLS10?NkvNyN}GH{m8p7*2Uhjg_|m_>aN&XqBoQGf|NHKb)j9pCuXK^S`ltx|;a8x0 z5G$(jnqbSDGGtwE1pgQ(u(>}=4ub=B?>>PS`t_@aem~!OW>VQN#a$G&TH0W)N}~7C zs-MQyEj4^@W}ny}hqMO#k&*glXyo~%h@okcKBFfM%|qYn^I(SLuZ-I|H2r+_sBt*j z@#mA(ZzYUlJ{g)i8NvATL;lyE$<&>^8IAsB<>e0O$t|EQ+=b+AbZ!@*46XyklLvL? zIaK%D(+M4g;bJvprCBL>^}bq#y(72E#SZySb*aEg^Kn+&KUwy8lFM91K?3gYYqHqK z7HW?8^TJ)p?JUrh`l#sG9QNFeJwg|3Ypl>Sz=hfkW2&pF!qR(Brf2Dj3Uz1L<>A=r z42<)bYwMc3$FyjLDZ()pm&QkPvUYD(2Fka7WA5J`s|GIh=sm5rqMu#5Fne!fsQFUE z*}j4}1lwlqi~3Z?V6JGc-{kgC{Pa3s#euyaE1QNegVhdwfr)7$V3k%-Vg@dxhP(0c zb6Ef(h}60BxI7VL79aG4HVXlQY)CH~Hru)xAZ+D43VUUgAnV!FF(W1kIhnLC*Ls<3 z$=QDVW*IE|85dA>@S7XMj*wqixvFMED&EHW1Td%<`NaRHPUN&bA7M>T`n~)>VVyBzw6Q( zn*zInrpJmGwjM{)-(1#(ix(Z*;!E23y?D|pmU$t}Z1j9|f+)lc#trtzm4Y!~*TL2K zk~@12t4fe2s0U=H&mJgG7wrLZTNP=|SZ&6{S*n90<;Tl*)o?x+?Mm}-W!ItUdWw(j z(Xz#;TRCkvM|NG6JFo583Su+LdJ*8HQIi@}0#w-&IB1FFlaL)T^hsCks%tO#DMa}z zZ3%foLaXlvK1ZB z(bemV>-0NQ(uFCd2;lSTid3uz?yApDh1|26C*m_A4%697bKg5BwYwjAdGpc=1r_u4 zK@I_$&DY9Y&;)9iUuf310YSKF`O5c|vVk4Z^#QHlWj!mYcb+<)6%!yor)@=`gepp%C}fVObs$H`t2j0j@QtM|8uKqp2u<wXZEOSQxtX}$ ztayov4my5IXmQ+Q9Pre+*0%0@pj{2qQ}k3b6Ezz-U?Nf-I2(6;(;OXa*mIRB<+6t+ zUQ5W#93`jOwH_yi9b~UPjfzo*O1_tz&t@Q4s%lT5>Pi$qzSFO4=-()_utL!2k)8}V z&H_~9*pL)dL1n$Do7#)}p-eggVNn`0Th21%R>`{0EuTJp+V@~e+Ub)^l0RW#!dk-g z&Tlf?E89xrb6LTM?N%9#3DueTx%twr$)_xFhw@@Ze%q*s^g6rl>Mt6vpjjx&1Q*t1 zZ^M18hlw~b-GjBd;yGE|5l7|7@RBEPrZ^K^ zWV3xcNK30)@Y#-5qP%eF#%2R4Wi60Z?9{GW6~Aw>`*D9tYERd0KVK3{uvez!-Wp9&=J=gSt~)&_5ws^hVK znmmUq+JOD0B-wAG=r5&}?9U%QJzRY+q^*1Bz|$O*x3ViO(F-PF{KsKIvU_R95;b;E zRnlOip6-QkQLE)x}LwLcHZ1Ftwpnjk*FReE#CakBHTnW$VSi$UiRY5mBDrFT*gTcPY6IYCmch z`8a=ieKfBbw{X1)Ci51}r2D8M9eaJu(2Zy;GWtML4f-AbvrhcKvUc9Pm*X6ve%RJF zAFDo)Ruck^==Otp`V4lZ7W9F;P&bCGt;$5_ZV#xi0dXRdlLED%1t!GGsoNOSh?z|n z)UMxOILapt@iVJEQ9FJTc_|WqsUt)|AtENm^4l&tgrykxY1=|@h-!v#ODwAOl{ zGbsHDl-OawF|J}~f>qi_adfn&FmhCK(jcI)0U02<=thHNJsa0vHk-%j(i}dJcj>&U z$_9?j|4tus$3zX6#6vBFJ=2<2EDk>8(&uy3R zm-_&TI#F>)=#?{k($){Z(2cLs9^-Plob5G=TfCetg{77j_t9?66 z>YX6^uf)VG#&wv3JJX|}yS%*o4w7S-*?X!w&rML&8Srt?^Pd)|?Af%jvciGUSU!AV zbb37S3;-lvoCyefLy&_$X8M%%0<&x^?guup9gFxJQv-VK9=9W)S^E%l8;G}h%)xe4 zgywr60!ieR6*`b|CWn-ll_ghmoi6jgdGc4KkkdUqJr$6?_C59L0N3^|wp7$GlSc{A4f{=gNBH#LaQf zi;K^xbDB2y(N$ADD5}=)d@karp&K(tj@T}UlBrc9G@>Ot_hnq>=gu-e@!b1X9z(G+ zabkCsZ`C?*wM1llPn|1KgeQT(|LozMb6~dv;hl=8*JS>qEp-PWcW5FERroMuU zE5k0i;l7)QsxoZo2gc)n;%!ajJ?m>Z3QhlO(TSck2j}^4kPS zdee`7ro#`;hc{&ji@j*)&6?B7YQJAQ9uq1?iH_sk*ep3WYz_0?>+z~1`J!f8CE&XN zQ=z-Ds-;AMJuT{>lrwETYUNcAzqlrqr;SCV^5rkz-Y`j70fx~op_rHRU#uJRGSVd| z+c7T>lrt#VpfQf`0Bh%6(5IZ=G%!b%v31?>=|bfmDay)RAow=PGvT;7S+7F-Z4={N zcIawRCWaE}HVy=Ne|;rde=1}3;i(|=Ca^1{1FEw&$$Zgj`r(377+PV z1?yU{nVZ-c;V~CL{o_$w!th*i6rN@B+)7g1?oMPhT8-?pN$sJVF0NRdz0u6+qPF|7 zvT}iV+4qo8nuEw^u~B|*3e}8%+>$=9@C^y8`B`%UT2;Bwh2{jMbzNpEi+rBC<75d- zo4{yv82;4X){HC!v4#KpqVWm3w6je3VzMyt@^*edegQr4K>pw=mWs=pnpDVn@~K;& zjtxwkC=G3)C6r+-wz9{o@vc1gYWJ)-LOHy$FX-4}(DVar7&;f!1up4H=2mS=YwlLh+Xg}v7ZE**T0qpNSQc`%nf@T1w zcE{L0rE`LdKokO3qW;zcK<)-RSokLszfCVpf3A){;J@M6@knO`W|TlS%0jg=#S z=e}t(R8R#|GuCbvl5lPG2v~tJftWk|@P7>%`xCePpTTmai`~b%Mbga&E%2_Jdq2hG zjWZBKAHb2N0q>Fnrn}c;I-~36ds-07(EZ3_Q&%rFw!dXmgg3$qhI-x8=5aUCsnA@s zT@bIB4vL^1$OEDdT@%+k56WNrN~e;^mF@aooo6fHL0(t#7oW7xhD#8=S5+)MJw2KY zShg+`mLnDPa?@d8aRmin54qG;)D6&}=0by@3T^o8@=B-~33a%NS~SazQBX2`Fj^$} zxhqwR+MS0g3+hYhbayRDsS3myX8|Kz5-hw3Y&*})hG?t^42J5ud%|y&J!ZjS;&>*W z5urTN!+(+JtYTZ0%4DH4BhAolwM_WtKwNfo9D+tK0)OpgqQ*{EV%P>O-rp z`~8pL-9p?1NX}I(d&rFymUcbH!SyUsPl<)ucvWl58qn|Krt_G`qF?)m8CpH3i>2Nv z(DYHDt(Dc@F0UW5@>XsVjef$1fl1Icg;EYeU0J zX28F!Pmk$g|Kwzxx6uUxj>mK@@LDHMxbZ&a&3+Fq0uA!ERoM9|O%KI{b%ovObkV6( zr^;OJ`?QC@A$(C%E!(3bQMeaZFmZ-k-M&(p=`#Oi=nELg9hfH`iYF)g%O_X}+It?} z({@>`wn8SW;F6vuh#C|axAg|M#^7;sE>5_z!Te2CRLDE+41Gs#90ZQ{7Grd{c1;C# zUU4S2mt#V)88)NW8(&2xi|V1vNl8$fAIfj5sthwp3HkB5G&sJ3CaEt!lU{4~%H_(q zw;#>_xCnRCxFNV~gz)=ex<;puL&=R@2J+6!c@`k}jdeiNE3xKnzJQp(b2Ji0_@o>O z2i60KZMb^t)-qr_$OhSzfEU~K&ubMlh!vx_v8J5l743QJ?ju7W8rB@i%e5{ zBl79)yjXX6d<4OaV?zPpN*GcCa80{yFBERZEgLOb{{*E*a!3j$TQONyR#udcUgA;B zh{zef`6b0a0I(nA)tBfBOY?8TmFm%XHoSr-sz>c}4y}X=%O1WkC#yDfOz;GN^ypJA z?!}m6AMybZ9;jLEt0?t{m)&J%6UL8Y?QQ~3w13jCaINNj)q0F;BT(2P zKw&iKkscW{350_xK4H=ByPr^z2&cxqfeyvNqdQ`agPGJHg+O|JD2}TO)=vZZTlQ4T zE!oZR@f`ugJ56GY5`VWiDBj0oL?jPC0sBeqaRn6>A%tiV4U}lNPXSy6_1}vZFV=u` zS_OT|CY%mcDSu@IjzIQ>1#lf~>&Z=B5FSu zfRMxb7O2j&AXc-5fvcUG2PFBMp!nfLbtR{c-!R$5C>%^BuUYVW93~Lkmr^K?HnP>! z)wwV(RB}52;#dH2W0|@Ic|i-Uy?YSGx%F(IEUW0(6C`D=XOmFEyZ@^91!gG@e~bqa zD_Fma|1bJRhyb#BQ}GHID4lz5}4>3m_JKi9Qsp&PhT zotlb-wCT!nV`RT%Xa-vL=fN{H6J2Vbwk2onMsAT+UuXi3pg1VwFK zq@w5`6*Uc5G40@AQU;Dxr->qnWFt|D1k5Iqtv)9(z5@X+&+992;$B}tcC=)tOUq!} zr&_eKEC_a`n=2H6PbGv&y>kPF?a68VErIxVQ@A+>Dyu~%ZTYtD<>lYU$}%|rz_fsq zppAWzx%R|_Ci`|c;|%3(%kExp^g^d-MlBY*4l@-Ts(LfkKQ>WhxXF(|I|)CQ{+bZ1 zy3`N1b6B}e%3_v1(7FcI@V-rFoaE&>acimtokv@7kx!e}%o)o$`5vtCi|fgMFcS*? z{{HbtAATzC(HcCT>odw?i%T_rx;+%E#o|?{( zt`Bw%<c4QO+{Y%`KqGSb_h|jFi5Aq!h`=bez1o`G?-2I zY*tKpX{LYqZFgt)Tip=~)8xmR1M-=H`veZnU9BMTX1-UI{Q(lstEjvJ^)!{(9w-|& zc0N}cCm|K#P>FMUDk|lqXr~<0m~Q|uDJr6H>@VL=IFa@Mny0LqVRrNp{+onK-!raK z4OmW@3!rC{ytaW}uq9?iJ;ZTu3fJKrJM#=I31N(J*^nJ|9T@I@e-DaLux-J?x0%!l zu+*$%J;zN9<^9Kl{nHs;W8VGOzsuW!K!!`6R7(SR=UedGNnwZB)`P=oiGFFtXcP`# z^+ZA6y?5^b%<(KXtl}2f*22&PATP90SZuT|aeC#L$LkJ!J6OVzVJkX7(oP0`_iim2 zhG)n~rSpJuHi##mfb-}{n6_41oBQC@N7%zED0-O6l~y*$sldTNvI0JQ?<(0Fd5zUz zOAlFFFTTlzR%96Lw3tZu$2=;4+MyOleYX`q-PS03@ri` z7E2&bHb(rN947W2HyX|GJUP5gKVJ*%LyzP9lX~ghLk6+Q%~2rK%+mwZ)zpYwA+Fi9 zdj+z3f?yw8hH)}gyjn2!Zp4z~juji)M&1FjZC(=FGu!G@&V*mr_ZttyF>xTXC8~<_ z1@8)vb|gAKfA;JQ)k3>cU5>KNp~eYb^R$6q@393 zK)|BJLPe4Iiah2LkJmJNw!b- zu67}w2S3)Cvk*FQ33G?>XXSDl_I0KXX#@4jTq`r-Zg$<-@BwpFm*21TFvO3So+1ZW zGbyX_ujt5wBprEL)P;9Ca)>8yj-?09JOoVxqMuXpYk}zG!lJ}xBDy6XF+c8i#mLGI zMrk;gMGR-F!VMqz=+cS$NBYpOSzB9I z^7zS}RHg~~gcw}?*c@7C?cWev=&rB%`%RETp_XUnTaI-Oj3eF4)4HOf!UMdBZDdLd zio20>Tb)$5doax;a)r+8Z|8um>+8tNZ)xwR0uzJ?*U?!NI~@~>ni^NuSwzH6n`YW? z22f<_-qmY4&Xd0HSZmqC6*x0X}9$6@716;_H6`|DPT=ltg zgTf|f!H4~$Q6B}Mz{u#BP-IX)VGFSDj~}ac%@9{71F(5aW+IckO5DMqm$e%<#D))) zX!Td3;(MRW3*{M6^w<(EMr6mYpe(YJan-K!SWvJd{OVndfHg$?5pVRU1oaBnir1fC=gmxOf#RX%&xW!42YUiMR~$848sv6AeGCgD&iFn?1Ec2 z$RTLaE;bW4{Zr7WFJrnv-`hjJGmk~RS!+cSAIhL5CcEVW6m`?~y!UGGL6PzC%h9WB zWD^2{!1XF#DtO9zu)3SrAqbM!F3ZFz(T*A;s2z}7DK7*eCR|AaG97DVi5lbDs*&3G zS0bY=?(Ra<0Na;0XF+kag$?KZ9c#TKCXo%I7UxN%r^q8z!Ec|7O3EIo16;VAvEkrSlt@oODwVXxk6vvHm&;J2 zLNy3jHB02~xL4}72fkI;#vY4H33B4DnZtVjXh);)6t<3To54;k#`Y2ZCr=`JEc_!d zP{-+eN8#MGL|GGz;noTsZ!+j2dJF31=?)Hf)JQ32!JRmcGn>&UKU{p;dkhPH-b7xP zNPxEb?8)i+@(-z+F-_}xYI^`<)FeuGa8=L`kZ?W;B(BHhfGsiEokSh3h8@)_@96LQsp9QXL|* zh&a%|jmSq5Xg#d0ThQ*&dxIL^63Di8Ri<;gu+jrj3!B(9csh8w)edR|8%UQ4pKO?- zs8Np;U8-OMi2)(e>$8&egGX1M;*wE!g?Lb$KB#ONa`f{c{+`{t-BKs6JUv#yB_b=O zSJ}ZUR&r(T?U&LpUJRWUdaBR~?Q6zz@|@H7p{I~0aEw~LT3AubxgEHioXBD@18b?R zms2g|oWk(Ru7e_=qE4xJN$pb+TKE`5ize0Zo(%)tW`j=FibQ^+Yxkbl8zT zC>V^ju7xOM;jQulVqjWaYUQhUYKb#X%_#3k7ncmW6}4#SmW0z~y3|m~FIrFXq86OZ zFyTjD=a4U$%|r#1gxCy$s|OSlpgy;-&0$NTr5R96d8&7CKr*xSaGL_Ewhz~M=Qi!> z0VHACvs*Dg+nW>Z4f44j4qT0|Ip4IqLR?AIDuFJgkSxQLbMi*ZfU&nkU$;GQdhC*+ z_qkr$Ip6^&XcxG3NO!}S8sHREA)689$z!B@+sqW)!|r$e(QQG0ec^(A#+WIs&Rf79 z5TwJ*hKKSF`Y(JB_CtqNO4qGxoxKIlW|gPb$PPTz9au|+-2g-x8`$Vdt{l7MaV;dg zMItpn9|iBtT)*po*Vr^UyQbYBQJ^BL-L=(v6;ymnxLY7)WRa=^Q6)}RA|%Gt!|w{2 zHgwHT04_M)PYU&(FI3X)VgtV`kdGt)iD=f8v*|?{lU?1CKkaYv7 z`X?l;$!gIYc_VZEqBjn`5q3r;SI@vb_@B#YJ{AAt)(FrwiQEOZZbp#Vy78M`dnbAshogOj{oHG8r3LiLm8O zhS{&0*$=lv(Dl8!onU^2JLIUpmgCezUXPMOz{P9M#&3p1yHikqhjNM^J9L_vUE0Vd z(bN-cJ%QT*k&KYvcZTvjl#tD{jubExrq<+Yr@G@pB-LtVZUMKAA zVE>u(%u>*fdD?=CfoF=MZOBpygb0jFB51k@EFt;sBTNTRj0lR>jA$PYXUCN5|Kb7Q zC%nictxJ%DmTpy_Yo&=dtlnco2RlRBV~2lhUNc&OI=t>LNpJ;oLOG5!W5;Lff|u?8 zoB&HI!21*jYrRP)+T63E#?HT zu8v;VBu?3+y(^u+B3X5cX%qdbbv$u9&z>-ab9-z`xua_>a4Kb*^6Cbw2Zi1#9G&S) zhJU3A+O^Y7yd?)xfv4dr-Gz9md1iAd+8`w)g`_<$s0SaF=!;t_e;WRcBq$_q(DIg` zC;>NMus6Vp_mvnmYH7<)(r!}2@9ad_(NnRyl0Dp*wjeBgayw@e*WDc@RZMOY!0Q-) zIY2MxZT?i+owmHNhGqsV)wMHwWRaVAg-s%#cm}ojG@D> z>jwu%kz_@!6&Q95z(->7J3<~{lErCJ&-(g=g|5O-!T97BJmhfPfveu!mm)Hnk5~H| zMnPPaD47&*sHcClVX$uaBr8zOd)BQ)r^tj#qeuKZILb(!*>+`++ywURaP6>}F)=Y3 zDE?C7z5azO&)I5dEeGKg#4+4p5Z=EXxzp#CaB)MX$Aq5u<~n;Rp-iYOlm6GQ_$?jB zA}$W%XxDW9drVySL3y5+AmwbTV}2xlPs?w z6%Z_%RGqZJ2gNJ;CBej-!kM@-WcV1J>XxUGoHq2%ETfLmJ6rRvEd9S<7GqI-5L zJMiU+k0&2cQ85PosS?OY)|Px^P=v$m=uQlUrlzJnNcB4T>fX=eyr%q^ zcAbBeV!j4SQEPq5)zB4~N-oW=vG$3(B@g<#rd+BwiPBrE$#sb+b_=TOaM*b9`j$iI z3r`l`Fvc6A^8-ktppu+!ajJhREb~C)^W)<@V~iB{&Y$2(bBN)0D#!3FupB~CTeWi^5GrhLXg_clKkXfcL z$0+R!a}M%CxP+BaZIjxx**1r4%UJc20vBe=ZRYZftrD&S=H}J;5;}Q|pwijQCSBC? zWed7nWh9;L$0=_jv?W9i8t6{!oWWdbeb8h#0CiWsx0%s+lA28#E*i%FtH9TV#KV@} zJ(iD(h3(Gi7nQv_PLh9zki~&VW&`Ua(u%ffu{C`&W;Q7v=`2F~@aW$7w|aAU?%ypy{NhfQ8-R&CRMdUUY*O|UJ{YWGu>mAa5cN!bx`W(7bF^+OHtl)u zL4miKdCFTQ8Jzx%xUdJFx&$r|#EJROYe_+i(rI=Jv?ifMi?i#9%!ar=DL(|+aFhT9 zZl|OTO3RZ+!@YX&K`QY`-deKH?&$4~zOGW%}yu0dn)d7^7)Sq`=1rtm<{##BI zNLteF?JPkC6Zq?%LO*u04N4#hRYnUyZk)jAJfywS6FwQt7^L*X6*kt^ZT9WU9#20D zi=YK6VKRe#&l}I^`kW{-$-lCh&mR}}Xw2v2Creua+ZZ8v=?4;^94s;SW<(^Ao)A`k zM$T5`5Jp3zo?7HwYJO#_0fooe8#UWh-nAR$`6>SOqKDMpu?|}{9Y9di{wR1 ziJP}hMg8fUR}D7}+Z^qzUn-)1%I{bOomDBS0cGn^)BJ{=vGoLeoToGV!l$25fzakt zZ*)HCmkTyhL$t#5&VkKA4wL{^meLR1V1-q(8Dp!{+s9N;{Yi!FS&Y}c)nk~9^gU+{ z$^wt?fIhnaLi-d3`u^dZiE)C5q&Y+rb%0%m*pxgh3fYy;xTxbhVBav~drJAB6Mq|z z@cApRsT^S?4@*?L37mbHD37*UJ7nU_Y`nPI*;0&gq|SO9rrqCzx+>j`Rg6)Bs43+oA8pRh>X4 zK|@rnkWHr#Ucqz7EPPB@4zY*KY;<&C@aqlSY}aLU8NPia_r2xF3U5oDHUU}mZ6M(f zqSHe7L=I3!T2FkO1y-`t%e9Pa^WJWjM&(KEPIi9`2y5nCWNg(Keg%rZA^u9-)oV`w zhFSSjIrSf(9Px*hQ(5J`P5Ry!FzsbIX#z=ZKy(!qm{n-6ETLr3fZumq>fafSdxjBL z6*yrvHJdpfakAkZvZpK(_Stk*kSXKpRNKCeG-g=N&GpawEQdTocSo2pCHFB2v$QT>lA!%6_|H}ec3uI zox*AE|GWGH(2%$7UOn)5{ZaUOwlOp~NeCG2ar1zEm#%D*Rg#|yiLhRj5^57CQIY}m zu|%XxAVIK@MZP8fP|S0YhJkE@89Wy~aHQ_v#^tP&E~=UB3l-HAIqg}#mjpvxsFC5j z4s)Zy$vyY~EnYcT;w>tn=m(ZP@~I`{9|S8xd*IGWEHNsT#o!5f&sO{^3HSlLKw+pl z{MJ7xXlt_UF&nJspgds?5;|_WT~%%iuOdkmg;WcDQrw8n9x)2Pa@Db!;NW&4KrSKS zDA3WO%)!3!LD&1P%DOA;YF4K|mswr^8_utyD5af6aRx=1`l~uVOGsFTX(F^(S)Eiu zK_FbAKBFeLE=Vpqo2<#hHA8{k(QdAU_y zR!-&T+$0LewN6EapkPgIOAW*cO9DtRo1~gMrRJX5Gdb)Hk2PPGNq&)2fr2&2~L?N3Z7lhnAupbVgg4|7v=#U z>7TI${b^_+%C@EVgV#DUb z*5-Ft`o*68wLTMOxcv+-{7Q^Qaqp5X0?qO+d-`r_i@Rf*StX2g2(BuS%Bw^bWbJ|I z24^b~s=yW05wPoiP|bVUGCT4PbT=f7%R&%6G}FKmW%}0ahfcn=tp4Xs%PE^`i{jtr zK#w*~l2|3!F+#N(7Eq9p?R>|=Yuh3Z*Mhr{_yM3Z0x3NRrS+Mfo}ev1NF0YD?$~-< zc-6MBiTdXKhFV?O{ldVimOyq5XV@^~JCH=49Ph=|mvZdBemrOf2uZ*`N97pTRH$$m z_B{Zf{O9U)n;2cd8D+hDr$8`e#&NGlgvj^92l}t|TQlCw=zfnHMSu+OecDcv@Rg@j zp59NQoCb2sFy+8VBqV^t90@xKgNO^ue=ZBN?!qzarlftj;P$WGbmdk6t+~)lY+;k1 zrH|+|ByzQ@@+ht5s!sRyvT)h1NCZs)0v+0CyC%+nh8<7WCEhlPm@8oYuWlra`(^;f-vUr}5@qr^$}+vi~&c*iurk$j2unaIxxhXf=KL=zF^TFljXlyD~I)Ny;K9?(=5Z z?nka)5@IVIFd&&k6i-kKs(_#*#|uR@z;v>`CXlhZdPGw2?5(q-aWiUzErn#&M1HMP{{wp4r-O70S!E;;Tt z?bqpYK~EsTT+3rh+~VGbPu?+8w|+Df-G!|cYhwO8B_o;UNNSFs*V?hdt1s8Afz0q= z?Z|9~Z0V(>CB>fVBoY%R%~P1Hv4Klu65<(XhWX#*Bg9KJlPxKv%2mAGLx$o>sFMV)l9B|r*E;B58H>#z` z`y1`0|JoE-9ofx;nw|n6SZs_};*mxSx7Q8NFZU8jh>E-5zmwBNH5m$Q6P2M) z{l73QhQ2XPvo#^JXFa_g5`0o%q*z#9)pL(D)l}dS-bYMg-z!<~^Mq_xdddkUkzQRM zjhp|iydY zR23w>Tk&3^B)T1A&| zd4*%)X3}F(Dj16KHi6DD0#|@um=*OCM@p9xW`F6BBTkYMF@~NHs%HJkDOt$ML6q~5 zY4RlWMF_!XY z2n})ClID^kRU{fb($%bq`+(6eJ$%(oPx!HEtVi3o3*Ic(L^_Lyzl9vxR5jh-_kU$V)qkqb^1lBj=F#u5C8Oa{eGB($K zCj#bn#Y4_nQh*Fq7Nq5;(>=AtgqMSOLW()40Eb2vb9P;{ndmU75NDT*D6)~pgJkVy z6igY0tt{qOXa%d=nzDaJX9m=yO(#HBe#Ig(PqN_()JC(WTW769S{mqeo?|Pc`hb4) z{f`jrd{_P_JGK8^7b9<$wFCNn+;lo;ne=Nz-srx*Wz_qTp1&7=YQ%X;hetY)M+y=0 z7^qeBE^0vv>%X-snilm)yq*vrP*50=l^A$hXBY#kqJ-w5rjbgLJlz5N2Y*!p3KAdh zl%C%biyX5deYEkhQj0!c-CkdXxKZyU{gK)mLUTk#R$1u62XMF+($8*}J$P!_WV)h! zATnA6gv&Be;=WZX|BmYZ6f`_a5J~d(iN=}ij}#a-3QcuR!SMI#+O-@(g!8`@+po;3 z_JYO5dez?50(}<>Adp08P)8zLZq#@}M!WOok+Cvk|Eti~AtVazO7{}&8yr_T6!|leW;aF>a_l}r_<<#My`Kcl&2|5j3xeAeghA<9 zXPKClhk1A#X`}m_yK{5r^DzYkGy3KMz$J!M666=xul}^@3U1jVFDCiwkUn+W zoW=eb+I~d9zqU%VeK(dA#lIfn8HhcnoXcI9{i4&Ct=}#X+Y@;8kC4&$9!T>W03bop zhI?^G%D1in2vzMO(iPtE#pJ^~9lXMNH`|;r{@+W9>b}XF!`MCog`EQwhDlm8>5;K3 zKseARP-YeRGBN9VkGMBra3yTlo7mJJ^u-o0 z{Qcsf<)$-ZtI2TZq5;nPAY4I&Xu&|g$T)E+yjL#NeEi?V}xpT9S{lBmG&8$O59E}qG^br1s=hgpV58=<<@c4yd?4mlk zY^iymz({nzR65e`B2vND<)QpI&NN1&)^I!W$H+u)#69rO1b8sPQob3*MU*tGeX-d{ z;_ZmK*Ri3c*g8Abq-|aCS8l(VIq*M%3JngHrws0lX%@=V@Wz|QJ_zkxdw=1<%by;$ zjGCf1|2vzLrPBWH@_tN{=AQDyh1NeT4z_tQSA6F$-V?sLG5)jpm#=J4 z-=F-qDK!^fF8}lzbAij)$&=p99`}K>w~xNEJx512q=jGcu%$b|%q=Zn5b{yFSM}BK zhZ>fxFR^iNUg?lk)Cr+R3|H)lga=ts^V&qbDLXN}fnvS0gA}ucD%pAP~ z@RfWMuEbEAHe9Rk6rXTcB)Jo*;+ffK9oTqlf*;$20$x6-M9SnGP8ucoXw+kGn2Q`R z09T1cE=5a_y?~1~FXt1bf@HT;pnxR85x1m^7lORfj^^7>`BBBrC|pIusJ*!a0rIu% zj32+7pkuO&xXT}rj=d=_aQc!#x#GR>FH4f5>14cWtq9L4l3CexznJu6pzRAaF*GG- zn535Q!r>Tp43JcK|BI`g{|QdN|_#mW6HbOz+^xGNz7@Bd=Zk zge;;tFKgo>93@0Pg(|cj_Q@$Jcks&^d-c^TYKWob?j)?m6|;{WkQz4eWdd)Hmki=T z&+M1Fzje5%nxvm0`Wd4Mjmn_>f8^t-jI`Pf!plLXQO#@igNdMGFiP{Bzr6a6GF%u@ z&FYM$+edye{)XVQq*gm*hTIRS9&2P<37prtfWRVykD+*g)WF}Il4bahplM-W30Y%h zreC{@jMC+MtFa(n4==oBP38=p3eU+W(gfUFeVgRemKO;>n1=L+ z%z3`^Ka%r^Qn9rAvht_tbxSSmW9x3>>mV^V?(RjM*VSIt0Z9|&cRcw@fG|aK2!H~0 zm3Q4{LVUB(ycKY3#Ob3EAD++Os-rUXgfw3+=js!=kevyiOySF&kQpO5+pnV_0EI!Z zZ;E9JyeWlan~nUds;Wqs?Fs;K!C*OAggu%znrTKK6(R=C*}nB<$Ae5?H{@sUgf3?^ zKlqEp#-GNI6Y54;ApYT2_THS&q{E}|bF%j3VCcg5nS?j5w<1rK}KzZIu;?FavVj-iH<*EbTNUjYNRNeW+K&C;}qJXRX?T2y` z)_#L$lvQI8h;;mxkL$nGF_6a32pT-MCXfL0Lp*?w_tQKRkeb%OGA5TtT95f%k-#aE%=qGpPEL_+I{BOcbXDs``9*oDbsw%+{-gBg3gp~`)Ye;9n ze)vXLXDnmwh&yi;o+4y_3l+a>YHpr(lZVPj!pu`Mu~|q%8%SvZ%zU0khq{y(S_I7S zj??vxl=itaViu+q1~&hYEyfd2)JG79NKBAQRm;_J+FZySd=}vK zBbn7%TPmKJ!4C|%$GDaDjHzYAm&%u+Mm(v5Op=1YzjzkJV;wORkjJCzI|E$#01!QL zl-9=%5R%@2Bq6PO0ZFJ)@v})_NeRgodz_t}u}#F0om_nT14tPvg_GUqu^Qkx(tUi= zJZV(Ktdafsh25YJ%x^P8Lqo}PlboE~?-@|}mXo`X>4_5A0V9xe!Uv(NycAXK`R1!J zjGU3$_S9FxvGk&#Um(F5LH#(5u3WvUL_%=Fs{r6b*BRY#6xkXoALxx|)DNemPr72Je}v0;bAKYNTn8=WUgn;%9T3nwqj93Oz#&dkP2M1qv>KB*!6B zNFG}PF>zUTr-*1|4+O#l&WCj9^barAHJM+zVcf$$pesN2ZJG~T=z@oS?pdwA=1bM) z$!!YGsu2fDxOEMj%yq`u`^E@#+}zzIqjg}@U(Y5(Ww4gBjU+`D_%hu9&nqht_(Bkm1kb&XiGB$tl zdsWO1JKlcqHWD9(L@+|isIc3fn0ibA&^@Gfq17V!^R=dSArxVJ5-pcvq&g`Q5V5ri zVdJYV=M%p}(KD=0irz}7_7d(2!yKL*%;EXhU*KPqQA`bwUOPC(w-xrHcFD$gJ~p!& z=5O zTO^O5d{G*Cb10l!u zqTaZ){==sfw09TvVi=lh`r|PSi{T6bNy$~2;%rm~X0^%36A9}5qRQ12)YT&tiixfU zxqa=B2V-i~@cr?6eqy*I#sO_`M?R@kPn&S6vA({(VJ)vZJ^eXE3F% z;ndadolQBi5!+w|ey?IO)bc`csn_G3t{-13TZgJ)y)AE-tdvvH3&+>ts0)@J*=fL$ zy>uyS@4+J~=T**RTwUNGtyH}Do$^Bs%AE}<*ALZr_i;RTB<_0{<-R`RT!*kd@U%KycqVr6~QZ*`;EP&=DuS+_gztpieuKVY-fX5spKT7pzV<}t~iM1NOpRU_i zIYV^#@von)XSET{vYhZz0In;r2MVa|y}h1-WiZ75_C-*2de^zF4DU0o9MhF{_V(JQ zc6?r+Cq@84)HFrLiII$WmvQY%CXoCG_Mjq?ZcPDmzQG;w2!{T;z*KW;9X-9P!_$O3 zcVos@iSC|Q8>(zD3?k0s{N?CqlthSQ-5?2&g{9rlzZz*+C~#J=I!U~S`d+cj8Ak8G z9$-(u{o(QP@t47@vuUNBV%RL~B@DOj7xyMFF+W^T&V?1s z6$VH)6ZopbrBSP!My_}RJ6boLtQE?alEiEw@UlcrjHFcu z_(_#mbo3Dbd{;+y)tl7_YY1dgY%r{0R@xI8QzbL>XpYmD%e#?jTr8Y9Et~8os9DgO zOx=UO3V7x`^!pYl;F{Xox3DFXrhZy?a!X$ukS(fcm;`M@aOzstOQVtqlV@f_F-A_u zyAX3gv?Mv=09Z4#4UJ3!A<@5j`Labp-ektK?}mdXrjHTGu5@{`S5r$%-_^TfET)am zq$JyV6K7s@10o;Dh>kp~20R{-O*mjIirt7xACO_7o)|)7Cvj8V6jw*m&4F+&8eT{! z04S=>*g(hyI!oE-P|<_gD&EyrOMy3(l7(K+9M2j`F@5sPIW@na>@OO_M1;auc^@!N zjBrgW#V6j@CHM6VMo~Eu!7!a)c>jOoj#FrgT@7#YdNdZ5&MTW|!!d~(&(BL^1S>PRy9g}Fy zFzP%QzZI8McPKgwOG|^Hw4ecD1rBu;9Y>#V!3y4bE*4@egfYf_OZ6y%19>X+k>w+R z?e_oE-nl+SS%zV}aKuJI#zPT@SSJ?|aR3oi0v5}_*)nkgN(})=5D^_wER1CrlS!vh z#1;ue4nxTyKwuzISOJwnSx$;B8aSYGScQd`)2=KFyIuE7OnxZyOW*nncHif4Klkx> zoso<)r92{1YznfM>pA<`!lT6BOf#@pZ)Yec5ibT}eo;A}oNpB%jh*t3K{y4Xj}USqvddQp9koa z0XCWklE?!KP8j-55KBH`?}EW4$x*TtZp1IrVRLuU z)okH4jlO_qRV~SP$9hs?d*$i3@+hrv0Y`*LNqCe}(CTgMP^c`|vb$()RWpz+I7^KAI!o2RLAU|GuLVSIVQsh8BN+P z;vm@C#CbiX!9wD3oVyh$MZ}qe91LP|Zfrh+u0U%1|44vXX_hJtrbK)Ji2)jA+B=Dl zumftZv{Y61Qohj6atTia(=kJYv8dfZiIP_$xV^O7Q`$A)rXjc*Du;ehvzve=lEL>S=I9ztAxisQ~BL?80q1Sii{ zB^)){gPwoLil-27fD{{dc5P?p>X$hrmxyb6EZIwIQunCO`pVkme{~eVW!#u&!I>~s zs8c5g7gTW7q|%31W$5exrtx%1B+Nr+o`wvGP;auPp~fw>9D-p+Qu7iX4dUaT1Y4e{ z2jgNH4ubf)%sc#m{R>%|s`#yAV`Dx}TJ4m^W&mUB@d|fDoa9^d4QCczPj9YccncG_ z2(=sH)^;RQ6DNI{is{Ti*Bsq z41#W5z(h+D@p-R8#gck5MxZOlLzhoc6ldsQ@ysXRt2HI)0!+h}N{7Pcbjwit=~Pfk zioQall~joP7zdeys8i^3*O<2l2TM#eHyRUQpSIbx8bW1w4|eNFHd5AAbMv>E>%GM+ zjJO8)nhi?n6`l=tvMPSz3yzN)o{<|jy+o0hbK9nukneyIQ9O!~L{)n~U}`4C40Ksm3_z_fcL>hdE=2ae zaYjNzRdk^TYGYJrLf%9qfx>D2knq~?|FjTT`rRm8C#ni}Nc53s)1VV$9!H0b&3)*U z0?``Zt_=Zrlfu5tW@=;OV`mIW=9*T5WZ*eC-j{e#_!-U+SWv-Pl?b$6*C6d%+L8|L zv2T|bAiyKJo}Hb~a~Q40!q^9wc9hbegwLe7fO5+53LOAJ^oNT*s}@Pi>t3?7@KdB8 z>m(HwaOPmCxqNh7gEZ8;nGm*yJ<*Su6Fd_~DNX*dfyHG!@WsX;dzk0kLJ$MRm*KeC)xS~Aeda;dvyB%e`waTiP^Cyq9Bo~y<`I}we1q12D6c+-m1THB* zk~8QnlAv~q$x|+$Mx&T6k5~2=KOaoJaqjH~^(2l-ubuXZ-HKi043M-L2_rya+Kk{v zB>*ansZ_lLK3f{^+HyPceUp@lrn^l|O(Zp|y(Mau*RspoP`-YC(#h#($SPJt@zYVQ z8#*GMDHMdtxhs>&7?uRnj5i;e z`JiA-kTuxx-H7W+fi5a4iuA9E8jB#KzF=Ev(_T)1rtLo69-2C!Q8N59g6t9z8wGwf z8c9j=c=2J+)Oz>`km&AVr4g|_u9)p09iq|JFAij(a7_>($h~U0G`xUc|0ZO1?9BEY;u3aPIBnVXOG|iyECcd*Ut9c_@B4qk?LSXO>Wr2j9lrFQbyWzhJ>O&VhlL*m G9{U46Tr4I4 literal 367892 zcmeEuWmJ}1*Y1Nzcf&(>3rM$wfCvbPf^$6&ZX-h+oMR z{3Y!CP|NwL{Yz&zqgQ4yWg}+?8+&IPOJf>WvsX@*_IAAYgzj;3&{#M-J2;7OaoPU; zfqV9^%(?h0s!PC4&>R$AIKf~zM$jLGLdgP47y=CTNLEV2J$-xLBf-@21@raZ{9ZIC z?|t@n#bu>wyU0~$xhNF4gm?}H`xdq25nsp(y72bDt~lcQ?Pg=r8^*4Zb=k%t5XDKo zur<_3vdqG(cwKDQ&`{ivG-up=;j?&p+SC8_8{=m--uraCbgLJ_1y5d@%g%Yz-)GBM zZ#nhJlz*zoii`L6*Ko!Lia3n!@2~6*e}Y}v|9ts;L38{2hjiHzOF^Q4UyG+k?a=-{ z?C-Ba9HC{E|6DqTlJ3C#pKCV}Rq6=-bL}w#^IZ7fmxlfM|BwB*ss0}t`6BG1%i!{% z*!4kdkKcv;jqRfE`gEoFK}qYMlCu;08&|RO-Y4Cy7j8G$iwBg8uNN=-7dwCSy*ss~ z0Q=q%agY)gW^u+XL4Y^x%Z=j+8*9YzJL_;?7hS9`Z#`UXT^7cAIv5bZuunNeN73d{f}jv9pS7Yg0)1cP}_eym6G+VOIG@Or!DdSLOQ zd9g!h;gA^ipjx{t(%{k&2NAE3aXWgg!^h4a5xAffSR;g;sSLx~K zL@fS!TLN&~q0GzP%q1*)cf=9C`P#+vE-qiZ)|-n~99Z42{IvZ7zdr>+jw_urJ5T)n zj2=8QIDY0nzoj3_60x5z*okZx%CHkK$H^Dl^d$l_!Jm)khe%8Nushn$x z-obscQDy5l4-1XZ8#P1vdIBFCO0T zzL7T*U3OqQ(JuXpt-aT*b~X%FyWq+0yTa^yr`%`98s)mtx*C4HOnr?2+b>=GQ|dkv zpHa2rV{rKP-4bu+IcD)VTL6v!Rs$k6HMpM?bU!+{1Y`#1IH6?;y6a^u$aRBHeZ3#*`13m%Uz&14pV^%2tgZXPQATLvZbON+ z|4k>eL`71e_oSQ8q>EqAQRa=e*vfcgdEX77tx7!inlC;z1y&L?{e(P6`@_j zuY5hp>&FIv@O}Rj_`ylI^yl`E5)+BM|BPmK7f4=NULH{2@GM;Z6kLrF-JLp|iaFL? z&r8tK)eYLaNKQ+WsnD7`zI_hae}B%w(f^1XgNffAt`dkpRs}!bKjrl`w0bNW_wSPf!p7O+#U~$y4xIhnnJn*HC{6l z25i4rvl)HImHfvmGJBsbo!YUui+uY(Opuj&FbvM5t7dJRPO8hhW*4tds%N*3MPMH^ z*p|T-Q0&&PXH;jppwjLaJ@G-$y#8Hqu&LP!=kh&>^rGSdyIE-X&)xKlmFB~j0CBJa zZhHr|l*i@ss|HJFx9LcwX+N0jF3kI+GP7%4^5(pH)_V~J*6A4KwOfw@79@FMA{o+p zHQUb(R8>cl14IdD+VyXG*fNS6|Rh zWp;C@uQp~*2i?1Q%e)rN#kXEqFZyjh&D6e-z?6YKz`a{Ixpg*faP{nVnWeQ0=(9CE zl9I6`%^MHTRwb`Zw33iuXTWzkJ00f+3#5T(TKvP3nGt?OPb<~^~Z ze%F^Xr(2@sl2^Z;^ysIlzG<4yuWQO*%+z@wuRE} zAEE!}HTxV+y>{uu=&DG+u7A^sZcnXuU#;$`Bb3jYPOjD^PU|y#1%Zu?dZ2~!d6Q;_ zhZR!SwO_^cea3_t&I&A?54i1~Ic~)VrKF@(@2#(|mtWMG^u(0l^@{-&4=G2dR&u7oead)o1I@51w(syU(H1qtsd6`#K zrTJi)kKg6l!8}$H@JyxuVo&H*7Wc6hKb>4baf?Oyxv)CaZNKKb?<$we+LF7X%L=hi>I{|t5D`S=zZdg58H2A z7ssirti1AO1BM7i{zq{88e*Nw3~*y!4(wfG`~H^qBYgCB3Fl@X=YZ?xkgE=4P{++N zRt`?iWqRs!)a#%2*T{;j7O5cySK|i3t3u>4M^K1UUrhD<6;qdM%m)B6`M57*7=$rP z9E4j`YrF4xEk>R;@A<&|i;7sAc3sLv!wMb)AHauvAS?t2dY|LK{IXj4h>)4vJara( zBLrK@@Y-zy^=Z(~YtavcPdB^%0XoOMdv;!#(pmln=ZOYwZhoh3Zq4EmbWK0`%iB;S z_Fvn^I{x`>IR|QD-SLEu+ZhLx`$_&`+KXWJxt`9a8Ha@48#2`G2G>6fR$4B0J7jRg zgXD4$W^14Yiyfs5cE(Cx0Y{U9eK~j~!*Js7W&|Te*pcjRd~$*>|rGcb+L-@qN!!woFb5sxBH0ay3V98&qc>T{p}S&&hbT>FDbZi!J} zLyqhYo2kXcsKK1@gOopJQ<6CrV*5UI<1Ag~NeQ(7##MB5|IZ-k(Fc?VvV2Mj>Zq%j zFXPq>AY)Me{sb8n8|kMu@bil&tiddJxaw^~{B<>LXQB@v?5s^B%SvoTdnpvSj)dBA z_hC<`&A3ckHMXZaxI&gbx}F%MsOzoH#g}o?3TQHuYOGpOt%#ivVqZhpm`fyHk^P|l zS*^5ARr5THhY8^o zKBt&ULeLvE)IlyLLUE+~q>7Q1AhMB#50wFmzh1gr=W?9X?-U6@d5i6b;SYEf)P6VE z|6%oHN|lOW!MhN<4~(BZ-1FDNc&@1^Ko2lHMW8OFfY!Ht{l)?=5|n`ZR?`RS1Y9Hk zT93)4xDZ%7>87#X>=X*8y^a=IqUfVM0Mxw6VC%0w1yX%`*v}KjRnGiV_OC8om=g5ybmD;KuJX@lIwNWJpRIML|;lH+;Zu{3p zgh7|k|LetdsQuEU&}n%|8wP+e!4lvmimbBX{&DCbWo^~b6)m4%IB=$?3ch(1{HjZ) zgsgq6y24i(ylA1@_i6#-vWH-Cej*-W8eeS2q4(4kCP!TGwZ`%us5Y|B;@_(qOrSgPxli`Vh=q=}1$JvDTVNuoML20{hY`Ha zHgCVLoSPzBN<<&Vo1VcHdmK&!c5+ys8?q4qnPO{86_#wn$!dy5S;TZIcfqFDB-+z| z=0qHi2o%E8DhyUtr2MT4?UWq06DPPxgyp+T2qM_~ZlwfNzCgl<MW| z2I&Ffri1(3Zq~*JZX7af$RfPbY^bb8Df2hyX(8COj6rMTD$wKSZ&xpi672ES0koLI z$vnPrw!raa26bG$T#Y}HTth>a#s`YrlcDi6ghuytVmffX}k z3%gr?fox$aE4I1^&=|gct{1YVeooeKc;p;?(wzSlEaQ z!KKIhGsQOe#@!q4RbUBH^lZZQvMOBWJBisyec#Eg#%9slWtV3B?JLEb00gtV&6x(xc55I^esqCUXCX>*v0~qcxZs?AR-^hFQeY ztS&<`d9+yx(xm1Vp{(sft6qVi#EYD;PZ~oIGrM`lTB1!je-~5+i|?}k3iF#Iu78L5 zE5?Kn^4ehV7CQsJYudL^t4j0gE3;6~*!-E;Q@T4a)FPVPAT!sSb$bx<-)Yv|^?Y(m z>o`G}TAU)kx4s2S!}`bUnM)K;-8fif_+Db_1!k?g$Ts%M`aT;Snx3;xchn)p!&9?I zPWk)eytf~}^{X=54N^&WwOSLt z{6UlW)@c=Sr_FBg)NRxvQ5cnZ&g<3j=CjN5%o|||z?ZD9bVb7a>+6MY(HQ7Tf&pc5 zfFdTHy<;YAoQFrRa)dn+{orG%!|C%{j8eYC3p^}iQL*6<0Gv~%2kPdHN520!0`I2u zd(UJZ&q)3wAdsP%IMcSzUmYDw(r8oz&IZNRm7nxXo2j~2-qN0&6J(Z(JSIvCd zl=2<%;xYaxRPL~H_b&Fhd{)ekFY|7T(e{_!_OeA9?SVKFVK?WJH_S;%N&8-{r(P_? zk?seP2Hrz5Of&66{JBN4=?dR9%Jq2ov9R)ujI)T_xEUlF!Yxd1&8KF-Dq&SpH8qwl zhX%rM__;KjsWeR#FSxAU-BvBY(khu{wyuF<<(pzy&wGjtu^{2EyB3N?%ja8I^?MgB zdmZ2fP+@ha3tk6v>k@7qJAHk9XA65*`T)UatFkPaP+yQTF)?{w`$#K%{CMUC=e0FW z6)7I4v*M?IA&|jdXI+ZwcastsW`fWU)9v%mvc^@XRYXdFQS^Lqy1sJM=-ZXTIeoD2 zBP}`{d)hmufftf>>S4MH7%uD_weW{V>C4+)$htavo`;FKchu+{XAi=&v{@yJSCMOW zS*GUJY)IV*Z3MO<$b4<+ov+5f4IuMOyHH1~_~(Ewxv*@Lc0R%GG`@J$Y{H|_hhj$q z1YsSf77L*$?*pUMy{V$ruwQd|FJoBuw%7V@)!IEGh8cQ#!nr(pAH!f$xX=Qpe6inH z$ScXnPgkn4X|psuzc!-60EnTtT9r+Ug@hxS{*YEqb`?-v8-{v1tPA4yUo|88vh-MY z|IWHtKiEoD;w!DDr4khQF7K+*sd0+Z^GvI(z6R}Vp(p@q4$5an=%aHD7hFpBH6jF@ zmB||}!-c;NU`@V?rcGi%%ea_ZU-_QG3z1Bo;bqaqh<{)Qg{e6RCK54GvO0C+byVNe&4K&&HA&4ie3Q?>Rwme*)TXK#`1B@j7lG~Yb{Bt09sfm&*(hJLSsI9CKeCFt|rA#E| znHS7J5Qp|*>p`BON%1yK6jCt}d4>rcc03~4>hY`Bu)ixp(aQpW}dhDgB80^E^oS!(JTAZW3EI^lO&W=3M#Le4cqC0#Rkr=>#LV(Ao z4W5b|%HD<3O|!~tBDn+goN&$5{N*)WGHJG|K*F+k!L&(!ny}8->rcFTk&@-tfHCA9 zDWEiWcF}s{bvd1RMMg|Ql4S|^Js|PJ8@D?C5GwENlZxDT{{sSP**8NzOaVdJ3MB$d zCN=9W)Ridy8H+-YPj)gvwEE^e)9!c~caTz%i41Y4ESe6SbKX^-lO!L8PsK?R;jk?1 zGLjflIreXuCdq6V+#DMmAWH5dlKTn(?&xOk=HkZPB_kwB9UY?@7tSYkZA$dW)Ar#z zP#|iJImV;`$`18)A;D5v_rYhrGagZS;xzlMylFBOG?4oM)XezhG^l%zVcwVEJsJG~ zp$}U=oAXiqR|r4x$Q|2#aPH|fRQ)iIjEr>e5nXtll0r7;*hA@cO_|@@op@#XQQ!`L zcO9(-srmjYX5w3{(Xra59yUgD-*nn|^bB6_C@r2DWg?oN%Ys?tE0L3Fq`Jh6A<{y)tW;BEI;a!*{Jw zeebwTtgO&6Ffh($Td#C3=NGRiVPB5KntpKFw+VW82>$l=&KuLxJaCOElA9 zzxVsz9v3T-RVk{0OCR4iqzjmwJ0Ov2MH!2r8k$78@#lPy1^`e;^^vW3 z8e`Fe1k^cS<5#(xDJLDq;+^jXCqKs@(Cai#<%Vh}JMfS+xuIEDyz*`)%RB{i z4HkX3Av|HevpCS5TAzyqwBQ)*v{pN)@&yt5x=tNar}VL;d1qo7l?;f#uNH5v&dz!y zV{m-;10m*e2}Lq&@8)`M@7(=GH_oXPu5`?fwe==EA|_m$eL+>TBxhPhl~a`4#rC6q zPM&AjMQasIQi(_Wm$B7n|3pv!NX=OQS;UUfDuwRL#qWA&ZqEt%Wklh3o5P=7Mv*C} zrG*etAX+k2Xy6Q^zs*Ps!MZO&ExWxpdEup6E{H`1UZ1zyaI-+)WZbs}r?w9%Tc{)N z2aG)$mG>FRQzG&dRr2m#VWxH539{(EJM=$wT7KwEwA`$aw7UD#)6OW4@_m0UF66pU zMfV6PS3^PlwKi{v33+m!2nSIg`lh2m=v%((yCjs3uWRvhqI-;f7hx0dVEQ?rW)*g(^vqQ#L-4Cu)szlHf`& zTXA+O(zlNVMS@)0P-agi>i_0DJ#sL?uIQLm^}hYhi9KXo_YOZ8AV#eh3oJ#J-r()% z|J88)mkMH1f2VMnS<6bcFsW8Q7|9l5l?6#P_{4cD@s zSf1&g(zVs)>Sa);T^5-ymzt@GY2bPj)mBr`k6soW?}QBZ4Pc1>q)bWh(2Ik-cfrWzBkOr=L`~AjDs}#@)AHB3}hMQ6eS_!ZCHZ4?nK}%AxOF)d){-~Xa!58Sg zy!<_P)`iOOXiA{*J|*zYuoj@MS?B*fmj+J}xtZ9V5Dws-L~sfQiF zOaYE9m9R3*&Y9jk^<_HJ1^O#TQ`>}$3+l+W6l&{LGtmIqWVGSc*NB|b6RjRoXHYJ< zgAIUJbmaTB2RWoABK4qtbvSXDW?yvq+nG@3i5aVQ+n*H5-%bs!s?lM$Y4wTkVZ6?6 zPC`2b1D7Cr7zTp|3H$s8NBkEeDs(f=;n~rkO9Ji6)=u^FDEjz&Oc5s%vD=0&sSRV= zJi0nProAE7TZPre>Exr22yaJQD6t2|^#2Tiy} zlE5#@-`uCs>gcg$OxW`xQIn}W#bzi4Kl@BPs^J@h>$lLb&3e%b)Bbm={s4d=C~$ z(!o>elTCUF@^9VM*_xJe4dMe*b0Mz^gvo)%So@@ZVN*2s0rwij<)8}(Bk%lc6n3hGvK)w{tZx=_J42ySZu=^1Bv$%OC}2yzv>o8NAose3@HzW?Q1MkizAL z-aNv2N`&H@-o`G38c6!EhoaAKFlS;c804xALvDSWSmllr5`(>Ez%R>&J_Ao==_yvD zx{z8zKc($v|9vHBqls!Mbl}rY6e-$9w7VL40E$pyCtWwjX4j|IRqw*zE6H~ z!w#g**qx`#&vOVfp5}@J|n#d zv6q!i*y@b5j;^{-+5iY8vJ2!aMb-%sMnJsfCL_A^Ttb|tY}He%raKIPd7&V;v?Y@L z)j;6z7ZYsaa|ehqoTs=^X2Q;X`Ndxo1Q)1`I2yPU{jq;7>rapup$Tlo6@(2Oj1?XjM zM?;-+BG1|Ts-;4JWdtN?-k1~)m>5_Ta)$t_c(~5!x)KkPdRRoV;8`HEM(CfG{C+qH z>NXyuai+W+U@YfIWdM<3F~@x~9d&T@vyI}( zbKuB4MWz!fdGz9EWxDKpNt?90HzRlMah|hy5XVrmX0N@dt6E#V=HfIgqN4hZdzxrX zUP#DsW;Ai^D)}8S*$z9UuM>bh((7vw`iAzu{vg)&Mei9?yO->sM9C@HMgLCcld|o$ zu|>ff?NXwSYAk^FbY~xw60HKpKY&GigBI95Ix5=n*Y6A3k@Nr+sbff$Q#d*E9!>9|XJG~}Re?#PWv;-zay0Pims^kPU|&q> zLzo!z*#|<7_N02o^!eI+#VF8s8amOx0P(e-L+D6nxUo8^5DhX!kBU>W3fem%JQhzTik_gY%!<$>jy?8ym%vkp&HVq!VceMsok=nA&m0HTrnteiD%Elar} zKFTB>eS|x86AG?Hc(g?LNm;93JKY7|G6Ei-XCuV$D&HE6V&3GE<+G)^b*F$!;@Daj z>!#)u1QhR5FiTSuIM|weB=5z?8(yv+rFiLtMgkk+$BHpCEM74#A_nXVAnMSRM_uPW z@TuHQ+H4%mI+=kz8?CBXtmp<@GT#ZHIIOp3%M72~N1L2jc17b0eNpgc+a%Iy5`2z3O zn0-*MGSWd#l?re&nNa{^YwYs*HSR{%a;N$uCL|q3090?*7o~M!Cdyb zFJ2+y;la?b zJ5drGKab)i*-9=J8gkKZ1U9?gs+qxnLGRT?4yp8>ZMv`x2)9YjBeCcTIKZ9|*+q}+L@n$3$CM$=Z zV;eGQ@Mu3P8NM9p8vaE`F-uWmJAftGmS;w-&UU7TK6&48!-H-~o;BevNGm3jkhx9< zKadC5mL*!HFpVf>L({(L5bdHyqYXGHF#*;eC|~a9VBS|7a>4qM9sJh(4r%!zs~TM# zdT?57(xl?Is>{2N*wpT63vGJ*bw6PKpWMv}4)ywhBZ|ZAU0sHKd$B8+?~)L6rQ7{u z0!*YQtIO(f$Up32Rg%%cz25Jr^V2%^aE^NDsZB~#{BU_lzGJ#w^SG<%LC2G&84<;@ z<`bvUA=UfNV7IX(rP3o1DHy@n;-#16lnZ^Ju6S#bW|c9;`+Ibc%K5QClL28 z3ZJVNdVRIsr&-@Q!Jt8NOVi86DJMj4vT_z!vO=O9a0?dj=TB5#d$LpYH5p$ms*l2Y z1XP_lg-Xi%^skd3PWxr8@b^D+Srbuja_^|KbryY5IcI%v%J_VSy3xz0EF7ognS(?ZSORaOsR zk*PP#+IW>i2pH;a8gf@X9gm4CXBGnwCNF)*W}fmmi!-!r*%({>wx8CZu&Q{5d+EFi zbq!z{;C|-l_FmNa;!2%OA!Sb+$K-XkwVjr7>*QRhz={$Y-f;1NYmpLL0y~vEP0i7?{fGu?Jt_f07>A*j+|K9xU8$jv(3T>T(~%Jl zOfdEV?s}}v?oul<`^j>3aU`}9s}XJ58>C$9G<}eAcMVfTfcFb2!M1(J&wnmvq9Jr} zf3U>w$;WUI{K0(n&4;CDI~EiyEx(6N+b_VZaJp&6K9z$JzcgBPgvp#aLp&P ztI&er%qY#XwnuxC{LBv3#DJS~)-&1V{cBP$&l=1O&yrTjSnSOg>pD+7U$B7j?siO_UAUT$@Pz z9+Ei&(j|W!pA8vEGZmhB7M=+v-T1>SXe*e<&x4-FeV9<82?{dWur?@RB)81R?VO%c zu5;=m-MI_(<=MwS)^gPWhEQbX5NvNrh$olDB!VzC?d!ZBsJ;o(iVr41MlkwpTE5V7 zk!aH)k|os)af2Nn2rf7(y|#IFI^%E7TB+BM-x9f=+Wvw0*+gKGKY zh^XMV7hq!+zBZxbi2ug*U6c2{3noyUYM(eTEE^pAq?`5SNkhOpyhvI;F834X=xc|R znN*#hz?QJ&eHx4UG=iG71?m;nAU~cQSpZAhj~|4On0o9Y;ah9NDqzwx%%W|eGEjp> zNP&@`MN5Eg^cHeHq@K>zC(pgKi}(vktv28zN=6mCGHghL0+ZeInD|v4gz=0dAuSg? zIIBU($1%Vmu`y&O!DMv=0MIB-ATG(I*=0OA&UR|MZkHy{FEc4NMT8HbtEbni%Hx`& zj3AaxKHCuOeUW>|DM$|<4&RkVy<#Yqd33qlTlE-LqyO^J|lDhXR})JR8!DFXYgM%HvpmXUV= z%DVlORfYmn!2zHLA@_B|bll;0``*>w`1dGv9-Ksq!Z_MuWyN?;EXFFJZ9znvN^Jb^<**#`{|_zLzT)3d7uG5 zz0y6OQK{a2+I-ITJKAjBHMJ5(ni@%!W6Z!bCwaMyg9v;1^5s5|;d=JOdL5S-L{Cq@ zfPIm?8kNK{wUOofldHb3i;JqdZR7jeCAgHdbr49Wz@ zC!Y9TG|1eYU?XXXlw^9sr|G~1+L37(o3}GXw%%g-Ov&;1tWna{Tv|qI`TMy@%b^zH z`n}ry#2&biQwugy@N{u)!ApzxskP?!#txP=lOQ4&z)RY&5pv07*C@!#(?B2d+nWqb zn^@ieV6eG!x#GgcaPQt9z~>C}=Q|(9cX|5rl59d9aV5#t?81#_kcI*;8kWDMU36$j z7Q#>*dd1%Qx8`k)S<3-BqMGInHApUHGAP_`#EVa`iz9JH10)pC_{p~Xo14k3K*rU! zxeROd1WQO*8CfsEDgx+vZJx?>4APihw^@*iIK$NMU`YnrTCsSnJ}pn5{btDwcB?Rl z_l@U?an5@D)Rl&VQi3kQ&eq2-H9{P z$;rV*_YW{5z3?rYd;IIYivF8iWpR=RFS>!;C5wtVF#rh(2{`a}^6Y(%>CSDXrBN|3Q)C0{&z`?KT-Q@s3# zw!MpeO--7Kn^h+~1lvb1dTIw=uVxR$&!>?p@3&W*iZB*Kt9HFcTPLTXlt;nxS=KMi2zlzyU6HINcs(N00Q2*+Q zqsr)^o@2FZ)Z<7AXA71FWM_-Is*Rk97`4NX8L{Gpoby{-byjeoB111j>k*jPTs_hD z^1Z46f*%3|NkzQ!iP;@Zd(z#7?_i`jY*Z89unO9?U?e{m9)G}=u+;t3jz3@^(6a1m zjFAFlpB$n5rUybRarRLj)y)jCs4daz9 zdhk}EE(yDDsA43_;it5|irvc*Fy^T4K{#&*EnSlE7L;v zjpzpmXN*FMzDdQp-hgq(|E62QTC{oyq?LoRRcXjs%^!)Wb3wX6V=gI7qTmoT$$g>U z;q2MoHAm%o$(lEW{Zyk5n@JHg)PdA!8x0{Qybm`@m>Wk4?4Hy=UpM_Tqtb;LQkJ9b zdQ$cDK$~)M*RP-{#(KhO=e)^I{8JSL?cclwVmzbQV6#!3*AXN^7y0grU!Kh%myWKK zWMe8VrC6Qyv%x$K&@YdYGFNw*T3ilM1_c}eTG19ofF9E|61a#)*H-E~h_gTW_I#@DEaU!zTr9>4N!K#bR$dgQHqLFg% zv}-(I#p+hrM%&D!QLIqKS)M_*lXxCdW*MhQtISBeNsC_AOC$Od^3=Has*9{8Z6Tkk zfb(D1w$Zz5+JNv*vb16CfBVvSuzrH3#<{#)e6cirPTzX4Af?@SK2!spaZoPLB8Qd{ z@F=dy#-GqYw-X ziEP=jpM0y7I&Rhs`LVtmp}wdw@#UT1aKY6J=+sH`?$xSLH~He395k~=fF?_eTL`meuWX}}g6ly2i6vNHeF-}HN+POFu`*sA?u zy-Zuhl-?! z;;gqN++wM{pz!-^P$)gYdBmPkvW>x>C(mc~&v?xEr8L3nQ*o73Niomk=oBF>i-|Rk zobmbQ<)xVZ_2IkKTEB~0werb>0Fow{!KsTuX!-SKxqjmybe`^=-}$?<%XP`vSnoA@ z5UQ$*5Vl%lk zGV)DBS=JI9pHqR8JU7VgNM-Tl7TReZi*hYOdOpWlx zXWFqWC~yjtHZSWKaTx0y;&>N z`WMKm7H6#YX^r3jR1+67qBt@E8C7qEhqAy{&+TBXo3`*7m>4uOQ1L%d~8YR>!0=7u=j*4n-T#wE<+o zHzWcPJ`R3*kmgAnLe78Tzhs`L9H*BI>s{Sy#u1F|sW^=?J?4zzdy$#L?o38~{}(CAG4-I>90vF0*>(#q+tqZ%VV9YV zLkkZjnK>usWr37cLl#|yM8@BhNxC=rvvxo^Q%gr3)8T1n(3wrz7XGP~XtK4jrv2`n zkN3f%RoDoo;+<6Nx}eidFiQ0&(+`GgzE zR|d~A9LWe#^b^F}v^2S8jt@>cY~hV4W&P;UDh_qv0HX8gauM-htFDLBm9Bh_5;n^9 zg0aj504y1$B6B>Q2u{N*T4zv?e3e zQN#Ar*Tql02gQJ`eLu=uk$mnIr_MHcwQ4Qt1PiT@j%Z2XY4xW@;wNK>p&`m z6u3SL=C^V!-lX|_z1au2dG1Tw_<)zK+00%NMr|kcjazh^nUb<(XFnz{hcdUW zZb~lCv}5eJ8tqg`QCHU{N9&VkakXM77$*+9t1B*FjuR7a(K0C#M~no$MNchj8v}HW zOnU1~J7{9%O#uE;AA*Sp#uKP?R-0fKhl0L9*J z(4JuG8Klig@M|{MMG@YqJI+U^=zGBaed1>bm=v)+Bv+$rh%&yIYN&td9coMVi4(E< zB{(q=_VlP@Sl2a9P9PgPn%EtmdASxyg*^Nf5*ZJWfu;lufdpKX2yMZXPx*r)tD|F9 zFw3K55#kX{)OJEkaIE~N9{^AMZrd@!u|U4_@1=P zH1#j)^a1K$DpKe`W!7eI8~$~tn8VGWrek`Zv&rih_2wqn^D~uj~2Av-+0| zne$zdBzPgTc8xnVoVD|QK$-*u9)as(>%w~W%-OoNun86hllpd_EGnZcyzI5F zHt~SC#cEnSS<01XBYy2zl;cWBrj&?QQP#j!>(%McV+aJZOh10~cE0m-HQKT5VKxh% zmQ7Fz#t>|f$1oNC8H9Vm5Z@PWK1e!lcIbZO^jIB1^4pT|dG>=r0YH-j_o#@fUKbI3 zHl-FdcS+$HUV3|g#J1Ap8=o_3iqzLPmdrDi%P-U`5Z4FZcRbcV#24H180>%!b~`r@ zLg({t55t{$51!s0(Mx34JaLPYrT;+i1ssnkD>eCS3dzyrp)(e;zoc*+4T2p*T$9^s z_`WOEfhJOeovN6KM4m}kD+zp?HmWj^YO_U6F^ken6&9mH0?w3hi!XzzKbSTlC?a06 zbf6y3=OaKWAK$=;D|JN2&D6hX&q9ejD8@){rT6fjSpmJ;}>bpKwOPTq_wuc$g z2)9srX+TykoNkJktvMuG2Xi!SM{rmKquOEiXy|?SXV>I8Zmw@ZK#OHCu76LPTba@y zc@zwjwQ<#rfGVBff?!ZkQjnG?SA$!VYa5_J)}xU8t;~|R;&syc*`CsJvc-NOP-{}q zP9ga=(8n#tKJi{5P*q%hBTx0qv-N0wP=*yLkMLFm57nEK7THyca)fQ}5q_*VfAvX; z--6zkC6}%~Q8jerV8kx7u!aTE#Y&V(S?d_{j32C<`2}-2f)7$G&am#Em`l?V;OE;t zD82T3%L*Vp0=EldO5E4Zvo)d4cMI(8$8z?l-W>a`^!LERS%0y8@T z5W?#?^JDrD`Hi8 zrmOXH87HAiyxTl`nEUHg`4(I;0|_nshi8yByL8TbKfN;fxHuM%iJ9I-p=6dBq5I2V z0@%2qZ`~zy|Ce!gU2RkLZ1}GJKEwGwi1lo>>dE=%qTyySwlvzDnxo3hT=?p370wK^ zN`=fRK_*+=(N`(j^OtireGi8D@ye3?vEnfwPHH!PSd6V})+@u4WuG;W z`~}IDxd(2KS9$EcV<55?*Rkq%|M;gksx#<9bm0J-gM;J2D4+M$q@TFN;hWf{b>H3f zhJ{n;*Ge2bl{|iW*4TO>>OEWQLk?TY3Z-iI0_txc3ZCKpnb@87obDQ>^mIi{e@bg-|IV6YykjeA z6~P~9fk302Et|c}9EKlmHC=Cab=C2b;iV!7ED6|`u`xpE7b4`S7tQVS)Yz^C0Mst$gR*VM6vI7 zO@kT-yVpd_VRnFtvFpggu1Yo5DTVt8lHcP@?<599N0{$j2p{}hCpO0ihYkTrpp>NB zS+xClZsFb}P%)fcY9*{<}>R8#mXZ(Rp+B# zw>*Zovc^Ce} zt`3`|Qp5i~^*dafyf~d<2WE)RCjWSDOGSGnKqHSrZ9gjQztse5+QP{@12Td={_#$X zoker_1PSV*-y)mFofZa!9qSD#&x9+~(E+stxEG*?uv}xbrFgveM^{kt1az)WUQ7%? zF#r@2PYHHsc0jSvf>AZkgk){0qEB6pO}=COO+k>si$6Mm$b&yPcj^QCa(Q`KMlC8R zhynwL;~@gBaON>g^kV=Z-dRC+SxG_;0M-YX#rd~po!BQd1B3xWsDQwjaSg-VuiE%w3Wnw8)(c0!O-#GEqM4!<5$pI;5 zzX@c9qNlVCxoGqa)MWmej6`6xU%hgRC&3yOc3cY)C20=^AhD2>>9?T7p4itiT!D9=WPiE~y)zMGq-KgI(OdqTU;ht^COQI`}Ivn*2;y47! z<}l;HSM{EjbO`uAer$Ut6_IV-?!@U1CV17V&dT8b`ySgysU^P05-FJjC2R1PPoxMX z^!sOW%y5C2$Qhh8At9L^ayI;Iy81OJviB{PGRnPsHN)7W6`O&d>$m${kChW=u5!-` zPgZ`Nq;B|lDkJ}E$s(Apuc#W{k$y^R+MpQ>7agpaR>5T;YnS~}fvJ>4q4a;aI_t2i zqORMc0@5v=(%lUr-5?5ozPoWO$T6ZlJ^jco>lVT7`zCT<`0l)S|7SjF&J%d)h;Uf2KpEl47wgT*JFP zLp%k8V;7Vc(VFt4!pU(#eT9T1_FPO30g;X_F+Y+VSIesFrLcN-7D&u-dEWYT;8Q;r zjV+mcJMkScNK3}#b=iQKF1$aRcx*^(xF1e2>s_|`Vu)}EM_1@)RU%01{^YIMCsjFM znqeG30J}--Cktg~H#H>l#7JSN(q%F2a_a#!PNUQdZxJ0!t$YZp2*@ zw{{s`Ae?>gZR%BERAjna)P(2)5&@v(z{7iB?rl^FuVxZn%B#0C3bZ8vzPt{t-&Km& zDq(!DLe##{VGd^+Wq$x>!T(Lm8*Bf2G*mZBn+`k3?%T;SXKYpv?EM5w^&0#WTJ}xd zJFwG-FCL+glE>bsYcltxyTzAaV+4g#r^tQhosd=bitCCMa)xkKNKuVL$>gryL}yyv z&~lgFP3G6SGD1-#7&-y?Xa&)~|5`pET>H)$C3ki9A%qS}V-ZcIz{GM=BLxmZ4S$?Z z+`g_>0W@Nf@5y47X7DIJ=SjhW$f-e0w)MwKi!y`hrH6H~g2Vj{Q!>NbIzrICu-4g} zp;01ZHm()mccyI&U<%^=Yw8LQ%FmEsZ4oa!8@v}FVVC8%&lY71jV+wy`nYYyUs z2LgSk931H_+>-=St-mSC4q7X|LLxrqmRiaL1-7!-4|9Rat(f^2Xof^FU(0ZOA;)sC zA>k#V@2CM`0h7>GTTl*pHR$#18C(f8pT?B|CeL{eS+}&vtxA7?|8nh|oo*59lnu|x zAIhlZ(+vpBX^~X0(ejkv!;}h3)D-ONkqf>0*^VW@%h$Ul2&HjTj0vwhDHDi*!YH&g zxMs|~bEqTWEPNDWl|+cch2Qv$0*-4vgSs(&DJrBCihhETQ46KRyWSj)QDzVPEiB)mwd7*=3{!nq2hD(HMos=dD z?KK)r9HkR2e0+;zUSCa2-UrL1585^DH7@^gKs%g`aQrfLlg2BEQxz;-@Xfiqyq!nY z56HI!>sWS^3!!F+w`QxV)xqi~b0(E&QG_6>I9OoF zaKLf&cU&9{wj^p01*79ANC820T=@uu!tdoMB;eEu%}32`8uPAd35=>|@6ht`sOjA` zSX$Ag2(U2U(!DB9-<_5Jm*NpkG|J!2BFV=PYiDzbWx(}k>rDFQqVPUdSf6XVPKiF1 zk@4C3F4gBXiI6p%(zGe3j0}czApSV*>o6V)tQ>wN07>)hzxybJpjbmq8Mx^B-^4XE zP`Bh^nJ@sBm!LR}W)080je>Gpk`i)pi~@^VHPF+X_Z))-ZP}@``K1A?bD{+|)}e(O zRM6QGs@RbK_GKi7he!E}Y9 ziI`F8?n=CIT+QrZ+R8*Sd$KRkBm|q>+3kX9k>|er%j*Jq&a;2WvO=|j%-G%AB~Tjs z-uLMD1(Y%p$N&PW$QPpx#xfLS&~%DV!EE(z1qNT|Vetjt zV58OeoL9gOpJx`rh5Z>mH|e)3XQ1hBy=m+7PW&Y6Scy9TwzCMgB>W2pY$rJ+n=X}t z+;8SUj`fdbyb*$O*Z*blZlu{P(8JNkPKfuOf69Xcb$xmyQ2|!IB>=IEpkU=D1*#)i z#!u;$#o8nWf2oJ`9YlaSG9lhaCaKKg%H{>OByzg#@2JyHZ@^FBx=-W%JCB~6pS8Y$ z{TiG~EC@l4#DdVlazwi1RnEG$a9X+B-+eyUH%9HAm4JnVJ;FvHF%&Vto=K7qNDko5 z1yQDm3na_cvI+)EdE-aQ7$i+=3aIldq%k4lpjfJ`=3{+rB-nSSCP7M5m$WYC?r@_4 zNTi@bQix>&MlzG6Kvg7dnvqjA&>`&Qct=0`UDXa>zGnY}?_bGiB<~wB5=D_k3`+gp zt^-<{6@krod`}l@06i(#l&AB=C7zr9J{Vyf6}y1nFq3n0~oKys8x-}KT>TfPq8c#9iU`Y?w(!^wk zDPQHfiES9y>Q6qN9SdVlte!mS&Jav!0mQ^h2}nL;<0}F^vnF@_x!<}yt4*2WvIFLn z@%h{uLcbxup@GobjCDD8YwKG^d@3xG3kurErhP^Y6f-3>moDZF#;Z&f5b%*WkP0@hyrsVpM!J|lwrQPwyL zEboP7llWwR}p=w zx3Y-~0d9#2gkh3%BQT)@K5Vkumex<;~(=qXFhTdub1KfCw zh*1>I7*eFthCCF=X550HcEcN$%B%bNC*e?`OURK0 zj`8PI8S_e&3kg1swl8W6LDh_F1JxHaygKQsJ8&QobW5!Z;sz?tim}MJpw-ehcgu^M zjk4iCQByc8s?+vMWsHljHZt2zmg*SxsaDKTD9B&l!c~XZ+?llf4BN6V#Z)6yr%Hjnb6h z#e^+`a~q+@+=+|TPl5_fk$GbhJW5pH%AN-zL&jC?X%Vn1;tlO0L0sxmW+ou(uM{-R zefdyf+}rr*%{oaIW1%+_kJve$m4{`S|AFvE&JK|rg2M%epN}?2_$%t`7gf2e#mFCs zp>iW%_7aOw#h7IBvUYlZ*2UDk@{(8s4~xYy5APTU3P8rRLpeH1$`M_Yx*|!2|BX#~ zrT0gvAwvGvk<{Izq#Li({uImFFb8Hfu*>kp9jC4&IoCnM9WX(tbES&n0ha47pcQ_# z7o=KbJv&iTvpu`}bYv zE%u#pUG!BHptu0Y6PL4zSOn_Mw(TH zQf`qJm8wb6`<9-*cLP6t&UpPextPmTZk7Yk?QU)iY~Ij})F;y=J1}EgGJHsa$D*JJ zdhU!`YDzwFYAcJ~optMu|1&rv^OXr7x1m(B9B{i~P)$TZM*AyL!c$-=p;h9i~iB2YBo)zRtu?t^eGj=u=nrlm8!E`7B~Q5vD2y2*;Yy z=mY&8tXaW!H8YtS+>ucKBq4XY@yAk~-xE5Y^E1Szo{h12f`?b%cdY>zl$ayu#@9dI zCU*n>5za#MeVFAg2nSpjwTMTn|JKzs?&fe-z+nb9?zn7Jk-y(_i(Wl1=QcawYPC$} z8TO@I_-Gs5H$k%pj$6R9#1nodbwllydv3RFHa^Y+_p*HdTcggoq-Xp`aC#{qOog@woxqKcznY z{y=*sSX782-V2;^(dVO}#;g$%gbTDzlY>hco7}39yuUw4HI~Q>aU^X~B>CGCB{B$V zJr%h|8&*oo*#}#7JODoGZmF-5MAMd*z%Obd+2kxt6Paif4#Q=%-WoO)HWlU>aZPKN z?>1^*O}9f2F(Z5LCjOHm zgeYZ4+;_FfH!hXT{AbN;iO}W$xitEgf+GD6rqqGfDNT_t<~Ddi6K*@%q8hutHgrZ7 z&j`eNfSO4WqS~+Q;Xr~MUnoBHMS)Ih?{+$=F%kraYV#<=VZl{Y*O*GI8GFB+LNtZ9 zu=p3&U}&=<&=HB^vuayFOW}q`+8@2EsY8Y*Tyvx)8BQd;bZjkD5Z&$rK9u zM1LzHpF`h^a81m%bz_Nb`o1}qzkx$VQ0C0ZORZOLL=>Dq;0S;QZP!%j4>~Y$W`Wt( zSp-z&{nlG|MyZAvt_mc1+C;sPI7WoGwZ;u249B8erAvdi6((XIv$rWjMww#{ejl@h z^Pxz6lsbSIK5_sw5x~@X4vSL|`slP~L!vn8;IxwcOLpEdh**}!606Izuu0LrX)Imq zvOz?D)98=<%@*+Z{LLv4)b#W)K(36BUCqDLDM)a{6TA^0IR8Ww1(aq8Z{MZ|@X6{w zdGgNQxH^y30KbKl;KJBmi6u~Tf^-DS&~=#wkM&3#Ups>Oex%A_?<6!mvc>nVIp0#( zs{bfYXxO(;vyT8M&L)mw;na7xPpPk&C3(b}r)>&D?QoWKvS&Mo(IW^EpKx!Cl zoHfQfpq)DSJr}DnKWjt@aLRzDI?TPD3_n!k@UgZ!$J@B+{c?bnUfWnjYU-H7q1?9! z<*OM7GoutJm-PDht4MgS@S!8XHW_?@f^lC8Q)U04eg#y|4mQwj2?TOaQK=2&w{y2- z&Hl$fo++rYsz?WHk|W#{9H7BPRT$_W96GVd073@z-ESqT0VhDk5A_!ydh~6?Nx?!! zvqS^@#ggUfBOA72N<=5Fh}UIzGg)w)Ps0G{L4w}Cc2oL!W9bSgp1~_`3%&BCn2_$F(&X&=|d0@#6}IpgVmD=W4GiYD*t>kA-78PT* z<6D$y+)ja=^rZ*`g>1JKs=IZG@?Qg#O2-Gg@{^rMX!Ba9r1tWG#BCmEBH-CBwf)V* zo!UhFyB0My75INnMMztFR^2c-*+;Ga8~C4+3!z)H;s`lO*EHy>b3*%ivv2q z%LC*!9e}RtnaJF8K+9g2!pH+1ArO`2C1dOy=0->=b1?k*m9DcF|8OrBFh9fy(K3i^*MIF#}ei9Z-4htYA9eMZBJKu4f-ci-M+rgFu;MPh@ zawfwZ59N?WV?idnPODAT`#*leWu5={4gVW%4`xKJca5HXh@}>hjT6^=WBMT1YIi%5 zJ6VBR{LgTFKrYEB19V-jZ*eft1G$4XSrZULYl>|b3-Tw!SEk{Coj{ddD<3TnM?;4_ zS^;1SjgkZu)V`Kl{=_*b^^iB`Xjnh6Gri3`YZTpt70mk|EF)2)_fa_^xQ_{~=Xuso zTE2I6eneu#_gzyUm$i5rU$^|y@A&133ve6OLopB41;VKR;NBuPF(RTEurGxrvP(gZ z`V|r{8FP+aHHJCX0h@TLZ0t8&yEi&g(HnE?y+P(gzymxP_9LG_BN>y0wH6$EzvmO| z9sr<~yB@Pt^)v85rwmXl*)SRko0d)95>JNiEfnLB(R4aQ&wd+}dn3}{xCoj_3~<)U zidN>d!V;msDHC+APlE(V8^*bn_|z6{roJgBn;aB zg`}XEeyN-BPU?iUs?1z z>W1Q8(*2?^uoxMAhoTBf6x5_^bR8t=2$DkM(MqUipj=y>@m$gD$e{fAD zx9DKYOcqNncan8S);)uank&}M<1$_Qg$fe{#2~{CbD@ad5H)4g1y?TtzK3g}q-2H; zHmTLwt6G3EN(EswAfh?gw(P}kQ@sMJ?_8wvz6Zok#3}xwqHQjWmHsQ|C1c+4_U^B$ z3+{PAz%K=f4z;t5EZvcohMB!v8oNl_{lXdRt!aSrt2{^D_@dW4KUN{wOJ>qX_2Js- z6JT$E$6bXJAmegunn?Nfj9d5c`TS}kqTOusJb^hB#C`?z_vcc(eK%ZMHetPd$n0!| zG7N{eFTJiPFRwc3y0?DNEuN7*t@**ir1CjFzwji1#?+vG=c8SGAiuW1B%43edR%(C z^ZU0^a48yT;~uu&*?Eug`d|Yzl;h2*Y4hE}Q4h4+Ep$0;45j;pL(%(up6A=?eyl2O zHg;N-4W$;zs9RPQq99|Bjg$=kw(0UojN$DIu9B(}AF5L2%Y{tB7o$LX&v)chaN%<^ zRwuG`t<8Mt7_7s2=ovj5bxI!);*=KW4MLRvaiJ5M|8t=$8So~&oV6*7FsVyVO#ufE z9Y!e(b8t>8cxVTrLZ?-e!0Mi{Z&ez|0&>NGFuW1d2WeME%1S`Cz7b?@*{7=RwtkFKG|oGn0opO5>YjQ6=xUZxSQbK zfn*{CkoTaz*cFlcuTSN!cmI$kdv(5yhb>nI&0sJ@&)>gDi-4QH-1a#2)Och}J&TrN zYa3_w+?Vbh!?cXr7me?tzktnh!yggCF^mQ~y1!hvc37vNKJ6bV z=ox;K1n7jLIoaLTZhqT~D#xgd9|1O0O^@r|mHXtfa6sc3=2nO&8Q1kn0k0p*^3Sn& z=-!q3{;?3#D0>|oN!Z@IE|>Py_--(#oHf!7mjBlp|6LBa6{*e$hS%h7FFd4bbrvC2 ziv5ZnKjRnD*LEUsk@vX_x4FU>`nrUSpAMn!4{+v2^F)C8Jmhoe zj49bd2TT69$#U+Ipo3OE8lENIyRiXNYI`UEd>iK1M!}4XM#{bW#8*<^;9QegVI6tO zk#E-Qs0>N~j{YbUykKY!W2)6}&?&v@-~q&?IMYv1Qu&?W0lS{j@CNA+tknU>$>_ts@qm2dY3ZI5`SqTnftd$Hd0W z_K2>g-cBjQ|dfA!d|qBaRSc_B|WK4S4k5;(yccJrLb^E~w8`KIZ-Gw@kb|F&riP z${VKi^IX~$DCmBoNYfEWz=l_?dv*KWjzZg6BWTV7EGhrkD_KGmi>#oxc0z!PhxY>f z4*tfg*9y-zdC022CY3%*f>D6HZD+@nc&>uAL2W98>>Dc@a__tL@d3B`!ew7zz{Mjk zB^Yo#4+>P$>q*DuPSEJ7{}-dxWFJ9rr*H1_-O=u$B2V4o>y8fURkZoR4)iW(S-)kJ z0k!UgTg^47WRg_TbK0GY#FjU9?>r!zC;dvE_4V80 zh2C&2r7zt>`IE=&%{5+Ai zA5vL%!HS3YjA=rA`~gRs#wb~U<{K`Jypr!7Uke>qHI%Q9>bdIq{kBE5+4#R$C&K?U zIwBPS)~SmsQo++p;F5f|7@cF#CGz0w^DVqtKmtObFv1t0k>^qBkImfCQSK!@XF-NT zm5nzlWC4{}Np83~5g?Y;rV^2@3na!w0cIq?jfB+C?6F@7#QSbBFZ37_68=pOwaP=t zgMlKEZ*`asOyjODVgUM?k=LA(Nvi)FH>6Eer0QED*Yp}p1?Dw%?0_jQl`y;Q7R z-V35R=!_t5u&uztKqu-XW@LzzR}AM9CIfF>7&3L2)>KxjLrqZI)4n9I9e^wi+>|H= zqMnuo$akHj3PwduXhbubuT>JiGl6YiK}M)~T8dMK zcV5H3_h&U!=?gApCnpgCJU_gE0}TK8RSGp}@K zGWE0z(H?&BspYTqt)B|PP6N2AeDOhiaazBmK@VX5Q}L)1ivE(iT?0W`NqR=Q1AE<9 zY@I@w-q8vz?2u^K4gVm2V{#>G;FSmHa&^fgk7v)FP6GfejEfW=lh;dlv-|>f&Q6GN z03T9>SHaj_f*0?lz0smCn_yAnJ&>2j6FbVL?+UgyAU}fWC&DTUh&&wJHtyF($Gh$x5 z10*M9n@=L_yPy_G+au#-n${DdHq0{b4MzKVmy#t74UJ>yNFM8_r|5)c6GJ}{+iDL; zgwghJjdzhl&1$$QiPe83)&uhHz6R@1mp(`xe@5GE&kJ)r$9xdV0xM&B}U-YtuhW5e?0&KLh>|i2Sp^a9$91Px`6JmRw}8 zzksbaOPy3#nAh)d!#~(lum?mzXynmAfj;x8-{7|1Jrc2(!@;CO5-19BgL^{VI-J0% z;AmAE*zM`O@F{eURSO>;qlW+(_oXSnd?hUcGT|{XxS3PQ22oDv^*@pvH04(Cd{^*} z)32J%51#5`^68=O!h7J(cwqp|lJxrS_gVgcOkqjl&ToM`eK7S2`(P zTy0F8_NG3L<&Itkc2uEb990Il>^KG3_w*aO~;GE(`XJ5s~daeEdJGUx9JhZM5*-&+;C4`26p$VfsC4zi&O2nJ$AR#de_)& zlDu*SMTJFfIKC+gI;(GFG04)tz*-Hin_HQ*|cHV-RrRQO~#G?MgsRUvbQ7DT86 z-)ULW0@ofu_wr6ZcTuC+*I8(jt|`naQC*jU~EK@j;jtLmA0&hJVr zKvfHUzk{&xcau*LmSM;6GfK{tN9(prYxk?BrIyPlH8r*CVEb$MdC$F)#KgqU7|+2B zDf7Y9c4!PfYs7+F77NfE@8R?F^N-U&9P9;&VbMf~^5eSlDs-$B%m-gzQhV<;qN{N_ zxhZb-qHdz4AGN0Nh``hbd~JqT?fQBPG*o$FC9ksdP5=+)C3nA1&Ad|Pp1?0`(tZ}k zX~nV6WXRKz!aPT9c^W8?Q2<6mh(S4^`+|j(oCR7tvB)$`5d5MkD*clmqT)5HSp+73 ziW)b^4hgxyw>a|JKNW*aSgl&&ehJUXPhjIEEH-)y4-NFUOiD~cC`r8gL(fqiG?agC+;|%$|rc5e|k%zF# zRHkXSomeOUTDQK5=Qvxhvz9%;)zloeDmae8k)zwrkDST=_7PxNICpor!K{s&k0imi zE9d<^6ZXiit4mN>NH4AzAZ^H zM?)P)ez}3sQ%jYUa`d@1 zFl^2^VM>dsI7Geb42{F6*fFL=+WFrR5h1k>o{b?lJBvN)aBTeAU2%Clga@!HiEk|l z^J#>LQ-Z<^`RB()|F0fRVr zn8c+SsFHodKh1PkG$76Uw@iMnF+2(-m&kk{s3+PVrFG#t`fpP|_gy&^%k^*@-+7bW)Hpi)SWWXuz*A~-h=F=hFbkhJd}w6xOTm2rXiadL?RsIP!G$QN4O6wk$)>N?+w0=SE2VQ&M)wI1$k2wFDSSzi5DP!z;>2RjygY zSrz|ib4qzm6S3Fwoa%abHJ+bYQ?-Ae$9{z%+vZxf-ZiV1gS{66vAljh7y~H@18Ci2 zkQMrtxg~Oq{iTEW01_?9pAxH6$6NDLD8E1 z-(U)mM@fMkni;JSv=|-UkgzEv1t4}rHEMGkgP3S*F%u-n07h-n%lG0#0XE5qOuXWJ z8kp2m#3@q}vT#4|Ib~$w#9s&mEyk*2Bn9U0yi<)Bu&yMbSf6hFr=;@kXRu55O7wA` zY#_U+hoJ#@pY0w7P^1go`=d?*W8UMWE%d$T_H>65>l1!CIKXylcT&Wk zJ$zD}4F-{d5u4t`U-cgP;}daOstjBY`02(S1}z`TiNIhg=b7$2YO-E4r0=RAOlLuu z8>>|+4a{o$JKUkzKc=+Z!b@Y`5}wA)@?n;{dWa>PeySn0M(X8p$Xx|gmgK6N-3FX= zTMCHlQ##l^+n~-J<7wk#vpJth*Ykh7XPsB7DiWx!FEqkIFu*-BDZ_r35V#dVKP&;y z2TTMxYH04iO_P>0T*x@6Qi?XDw`#OfTgjT zop&dzRUnvr@Bs^PE=Jf+rVJNK;lvn^oJZt0+ z4Aolj?@mkOdH~dK!0%<=sh+4zP=3Y-yI&5SSAjaVfTlqYYMhGm2r$eEctC;BZviYN zWA&F;M7?|>SP5`YgR$5c*SyD88m|KGWD|6BT`!3naMwlo>>K-#P5qm9dJJaU=~OyE znCq6IgrVDbrr|{}ya4q0dk0gvs4QD|8D!x=b6LK3!x2oSJZ$!X&l6iDuOZ3*V`7l9 ze?P$^2ZyZOYHMagnE%|v>4(C`7g0HKS?Xv7P#WdJ!k{MM{E@P7=`_&J|58|qx=lE% z5~lEHBDfIifDVoe72w6=`QIF2&qC+Ag2shO-xtemgiaKd=+|LqWk!kZT+RydwLIi= zAj5#L#$|s9hx)nJ^F%WsxOqnte`#2i#85(5N@$RHAUCzANK5nCdM4Gf}QY$D`aTaAZq5oQH&1w5rI=ScqEhe*AhA|20+olY%eLnU{$Qp?-tc(dM3a2 zfuk2#6+&W~pA;9@&vkN6z#yz*X$L02Oc$m9VD<6tZa|^Y+V5*V*;+*&PwS_K(3e9c zASOwn#1ZJ|x=`Vk{9CF5%jz3o(# zPY-AMGZ?@;_BQN2hZ3Z~08e>L*qito!J}qud%wFmN6@9dxVRc#1e1h-aS~wsB|-uA zbwd%fDWPd)0hXv3Y$sEw7Z~^?!~}uN%>Ner`KdJa$-5McQkmC86$!!tnXb%Ov1nNd z$1o}gZPK^WXY^cL_W?_*&4z$PH1CWk&Afm;$ zGq@Ltu-3QOavi1~-x^(Q?L(yn@-UQ;b?zWDTZ|Q+s_;+8!>kh5u`MAklq`N}_ zymw*gp?tVnc7Y*dC;$Zn^;t&dsNGl#YBIl-J>O{I{VSE7+uzj%3y#s`8;3E1y^cKI z2mi*_UI!Uo2h}JYLDA`v&_9B0qoh}!RG<^ZQaQm5Z1xX;LX`W3xi<)0XgB{RW_&t{ zgB;ZKXw?xjw^#P;iDSTwD!h)tQbkJ4N7L6Y!UR)&W1lC@`*P11t%m$fT6mvb@jt`&rbpQGVnfuP!I8^x#0r6Y5=6^Rij9k8V4`m`2>@J^js~NP zBBs1%3Tx88BZW6g1)2M#jLYIjDg`CK;u~3CHaGST#Z;C zD{VR}Q2B}&$2x3j|3j3mK>KGWV5Eq*X4C_KkANZ92eosz9PxKYZDi1C(o@kvP==fPfwiGv zynVU~mc&hH1ey79Gptc!=5``jAC2AOO8&o=BJfcC2cexa5#dv2qc&70Xo@8FvGXtU z*l^YkQheculr<-gY5pujOUa+iTLb>Fsu*I~8?=cjERhTG<&hB?wC!4c>CpFTyj{i9 zpTMSq=`v^+cNk3-KRB4JkDNMl@3VPI$Q)v<`t{SyT@^lLl)DZ2v86Nll33i##O%Fk znt*uPp{v^+(fsojbRsq`yjB?W=XExe@*%i?$f>AU+N+sn^vIF3;_Itse}0MoQ3g|p z3XjNp{N-WhYkt$vJM&+}44lUEYspJ1P3~8V1V6-0dj|jh3JZG>6bSnp{)%zZz-!BM z@rvN_N%3+ZE$_|!N`0;k%2~F)JLc?_QCXfvAR#3wHLKCFSSZeL|Ed2Vg@ z_>yCtRa-`!d?wx(;1Ea3pZ@A@7_L~tmp+=Wzo&`jE{bgLta^>pRYI*A)*{-`ZfCxx zl^bW`mgwNF;qb&}_(oYA*&kyi9U#UQ=~i0xWBlIOtewR(>jq*Fbtj$`r_WTqmI3bY(T*D8$U4rq0##$*T>rkb>F5v}vNVDohMCv3qwp!o9r0+U13mmI$Qa zEq>Pa%VO=HS~TZPmI}NPEEhtz)n1>H_-IVGE!^H*SIJQLn}=2Opmsc*OSr8k$Cr=M`Vs1^ljVn_j)_INX-RSVnJGx?JBxp z?pBEvu{&90li7I0hKbI}wMjc|FEVKcQ@nt^eSV?a`H$=UU`7Ysj+~59U&`Z)zNXS+EL|Kzm9J8yn9K=#=!*+UdXkS|+J|fon z;uhK4%YTKAhazwyg&1@;TiVna>r0!TB6%*z4nAzGAdY~zL?3e$H$E!Uyc%nkA`ej? zPRrQj?p?Dgw7)f5J00Z5HSKgBsiaHcRZ_~W$WD-ob=j7Z2>EW0_Z&U8CNIO5M)SoS z{;kKq-`3_!fm*}2%Dm!%ypOZp=B~%avc@+$L;GjekyOzpg&&6__>FsUtrpa7eXB$)=@^SXA$$I0J-rn7 zHa&=fd?YR0ReFD+Rn>T>X80}QlBazatFKcOQ4U(CUDrauBF~I(B;&}+BkMi#({pgc z?+G3Umu>{_XUiT4$97`<9t@wRL|o2~pRPq7(H~pw3FAu&+5k#xma{;w(#?S&=KoV?Y|6b{{R;nsafk8tp5}Df{A@?l*m_zwQ;WaiVsq zZ1rL8M-5jdgVN~v#8JqbdF>uiIR2Hje5}(uwBC1zgEcpGRX*uLLp*QnXFhRjbw4)S zG&tonJ>D_JnG|l0IJP?Oi`ZB1v~+5f^ZcpwI9mK;;Z)NQ|D143TY;hZ41plMrQ&lo zyES487s)wx%)`S2TrEti7J8>+y-rdsA(K|g zk^vZ481uwIORprOfAQ=ssjxiVag=RT#eZn(7k*}-`)SkkRK(QQ-JyBeUFUVNi zL-BPDNsYf0&Vr>2_y;{se^Kj4+Rkibv;;`g@`K;6Aj5Yg;jW>a4z-?~z&O0qvt#qs zyU&wY&FH=Q*nek_??i-GXruD0dA9GRRF{QPnF%-ZvSNbS>-SW<7vCtSn-gW!*)$M> zpC4n{t@PBL+%NcGG85r*Gu_59JHOKtj)%IYUBfbbDTpc9;%=NXV7YjFT@3q72Wgc{ zECeHGf#aRX8)n|d!vxEwQob^;Mnqfd#D1bt3E{fQUsm$jyn9$zi)SMN>`M>VD1n(7 zl3gkmNZ`E;J`HD5xnHqgoc@V0ft&w@3_+L zW`vg0E>cV{UX0xIJI{#Ruq?Oo;NM|-68g)p1e0EN2WIW$3xQfQM-u&E@m1ObEA`Xc zHN^sdG7K_AW&4yw8miCx_7-EncbY9&^oiYhE?q`L$`(l95e#+GawbofmbD~E3h@~@ z@Ucu2<;ozgc?@)}rB3ppxeD&1V~=Y6puv>Qb^k=zIN!v|ZhHkw(2&hBFOqzAZ1E-5 zf5BHlUzg@AS-Jo@^{V|d_lSDUij4s$t1hnO_F)_U-`YwJ`O+?{P1eWmwt54$(pFMZ z(o=w=PGNmWdSCF3J-F?L_i2;SueS&n#oXL{Z}&dFsB>;nL0@url4F2qRBKc|gYcCl z^)`K9F+yD5yUvNON~oUWvl6~$ zo+hCZdjEI{o)xbLXUc`6U+lyg8wm97=51B`saFWFa_uwCEAD#lxD!}I{E}-Kg(jpI zx~iF-AG~s5%}HWri?OFF;t>!Bt5ll7l5@0_@ga5V@=$HzflDK|V)aD39sN-Gda{YK zab^RBUQ?A%aso>_%UgjLp?(qm zEzb;e2`XhxI8gG#EUP+VuLXOuBNq!>5Bn|v4l0c4;F^lZ%Z;kPlugpA`iUZ(HzM~T zt&@L9?v>ee=r+q$tlSrCvFuhJ*EE}@^BSQ!(N?6r!LKw`Q{3lz3)m%G7Y%mje5weT zhq5XY^Ija{2##5N4m?HptX7K+Bf9ccErUn<`ItxH0?w~x7qnt=sD7+Ju7Ks-c{GIS z{pSyE zyrJI8d_?$PDTx7$1kp?Ht+TWr?tHDPLlIK86w@PI)_&^Ztt$qS@84ylgMZV^H9oL` z4993Yb<*s+!YRy(3Kk&BmecoBZEug)q&f3FzPW*!-e4P_vO_&ik7#`C{TAGpZB+NP zYI1AAZCP%?lICD2yTVms+_tisbJsa4Fs*L_Ebm`u> zY7J$xS4@9{V`RHy#=vbr@x+|;a=q)D^~<9}J^M*Pnvc@RUgOBb5Wvp!XP{xDOP%<9 zK~t-VNz022rI)cY^KP~4U{49ZOyJLwgqd_7TglaU=6T`Dww;J5lks*Ywxe}f)g%9w z(0glsAx1tzy!qJ!j{Tmp1-RD6ON*KMcay=|Bcn&#E||L3q7z!DmE9ggBe~f;@l+b~ zJS3G8F&2_I^seyiJy<9UDIY2Yw!6+b6vsUCzrk+_r>*bQNXkXiB-h%)Br;j)tXb$v zw-K>3CU5ZjKRa-V)$zg9e7yp!Ublu%*{nv8R~!Fs_JaD@k;J;GJnJ{M$ujA-8YD`I z2c`2-m7KEI6&miaJuDCH={!zrB>3p*?@(J=0wn`;Y(){j#9|e~4t`;etgWHIe1i8Z z)r>eeTle_4_!hO76IF>QcsNJL(1cA2q#~yj%fMBY3G#NpJ78<@H`a{Mz+^5lmYo7q$bWu|J%~Ab+@0lJ`Y#@E4k1Na zkt-Kbc#B{rDL$bE7Wi;acI82&zq7C&qcV=hi5w6jQsVdLqX@m(;hn^xU*--@8 zZTGhGlPlRJSS=B>TxPfAtA>=vL9{C`gm$eA=XUV>U?=v9oma8M8vCc&7CbFLcU z=0E2(6O=7lOdaDP&O5=?Q@k|yN-X3ZmnCymvm`4rjdpR;E7S@NNVfQO(jHyS?d#Gm z#wR8ea7a*2Ur<2xWFPcMp5)Nwvabg9fP~J;VgxCfF!9-#bk%S>vjiKm%kYs@vs;d| zb3``eRt#TVPJ3a@X6Bb9%a>-GPj(p4tBrl38{If*|bNLHp}Ym)K9km ztC;+*db;988A(gM^x#hXF-_}lvewXmO3&A$NFEOPIu@M6F`3|j7KA-Sif61A5!!ZW ztQkKQjRzvq!q;T`+!w(v`vbSSM@=0*50+Poz_MAJ>6QuHZ%PNDHxSEW;{v>#I5DJQ zjz5(Vc&JfBpI{S|!>%erl(MyBgVPdl`~+p$@|&0j#oMrBG>u+lQ19;4d)UfiNwP*v zOI&n&;5)w#Ljt##6`8%7n?(k_E7`7grlIb?m9WnZQ~oDIjaa*gjl~##QuiyV1Zi3i z8E3}!Ol(fZ4xC9ZUa$Ud@iDTJZP+=D6!GIFYb`0ltv+rND!RXB*;sY*zXfZ_6Rvd- z!igqZpt*9AlHz47T8fl7vh1%JPF6hTa|kYaMbf@X0OJq!)4#? z?)stkh>|+6=Ym&%mfp-|LA~R4-lM-AE4F=WyCc`1 zI*^%Wnh2bu#cfsYc-jKE79}lZt*xZ~PJ_!2yp&}qi@f-Iq32_Ja<99UShKi|6cZ9e zeeH%rXAWqsDc{$ps}`}Y-kQkO>gf*J=bz59rE983_^b_#zo(9P<<*Jvpf#!^{UgPN zyFMoPZKH@>+53dUW-j;4sfonNQNFJ=pFe8_VX_=`I!*-{v6@Xs@TUpvPJWCJb)$#X zL57W1;We9{D<(SqRq2y%GgGW*LYSsPo*MZ-g{fgQg&EEuW-7dW7 z=CZd?U_&HxU5f}qXN;ufmb4@=W&fcey5}+zm);Ymf~%$;zb30#=EPq$rNX*$C>lj3 zl$hyM!R3j5DlGSQhR}EO5G`l%8|o*Kh;rQU?OX<`x9J|NcWDUI3IYfB4S0E3R{N?S zdrGBec!jS(i=)=Y<8O-6h9_CBLF(6lG_?;O;tO!JaUpEsG<&D)XZ| zj0us0)~hoXeTnEKMq2IftSV2uj4asFH#*&<_oFInn!im_n~x7jLSFh%QZB_ z{Gd+OUTm!%dn}0Bl%XFMppFnTzx&qMI|SKxKg!rU^nEXVxx3}|6_FCpiKmQJrgDB- zRz(%lvW5kCf~m_;w6RLPsN*OTVk~r!BWX4~m-OoneyeDY4CT*(^<;MQ&Elym%L8yq7u={Kj=3A3IE^-TZ8z782I z_vLM5BTv;dqdco93fF<3{bgmT$EK{W$iwRn8_5+>`u?}fYRHwHGk=;!{~67nz3aSn zCDa9`&4m=<=<8eR#JZsvaMks=o3B7^WF9>QZa>*$WWjUNnC8vLl~ntsg@*Ggro?>D z$lg~GE=Fezotu?EnQe6)%co{!-k2^Vi7@jEFm~ooFk-x`OHXM!=}Eg`G|1f&IN-8Z zmtZFP_8o)1J=?-UOoKQulRIANmt{$T4T}grZQeRwYwHj=-jNBVzN>S6FrfLdN^}%{ zeS?0<(@0xHH4roQ+M=IG-kR7w>IzfRvZ1Cf$$9n$cKDzLZBn!#<=r~BT!+bG`B+rx z`_5kIqtlGKD8X?c$zG9Rx!5v70VW-K^yS3BDJwbYtXYQV@x(941Ph4~am}QiSy12P zWe9)xKScd?Sd`oQ{tvrVNAG)N87 zJxI(T4T5w_Jd6GQ{yxut!oi_(&$`#TuJe4I*P4iemj`~%Ynge*vgIX=DJO1*_7W4V zrFza>@3x1yn!CDBEbOA1^GeJy$I2(CT4CKXQqtwhRerqXQ@Sd4KBrevvQ@+VhlK3) zET4!qeFgBwo7rQ;k??m9YbBme^$YGLKaX{f?J1#&s)DuZ>?3$bpcETXX6M1~-3JFd zx(0ZiGrjp>A&l&xRkc7#3>pu~DB=6GMSuMT#nZhgt0ZX>@eNLDc92fT=&aHxdq>XX zsm9;Y;ppB#-NT+`f1&NuRxw~YHw|$QD*Ku>=++XOmb{z>9S7@>wayc-&$@L^LQyI&Ob!ms3ESPOiH2kv zO{KOQ^K3>OPxuZ@{(1*gQ`*@$Ca?J>;p;?kwvaN z($8_98;?6NQYt}%m&c)Vuh1$mX@Br-I1^3UF!w)P2VqJ=Tv6gMg9`QOicJ35|JH|q z#CsiIQ=Ke+#y+&0dy=bYxpcY_&)q)-No5ku`h2lmG?L-Go-Frj$B~11sV<1RgO9Er zFv4@VO~k5YN#{bnWlEg}ks2(WpD`>u#GFySq@-0*N6-Vs$FRH}%Pl=b@Y}WgF51Ud ztuy}(!;yKbG19nLolvQ2tNsL6&GRz)2$VcGVux|KYSTYeRW(Bt2sLg4IRycDG-pBr z#Bd-gtV)!m@q_yuvL~@RC||;F$*lK&`_ID*-|-zA55w-I#2|HUyqLUT^9(bxcG zN<;?6D!a#|Ke3vUa~V%MTSK$?1RSDbqlaVfmf$obV`gc9gi5KBP<_ua8Wf=Z_!k#w zWG-V@+YN>ama^2Q_qSsNp}msF?PrfFb?bp(H3)v3d+A;gq>_3d$}*O>5E8|SLEi8A z@XObXa+{#w9VV=@K_l3cZ%OhUbq&{g9b5G0p37SdGNzTTWqkHGp?gZ=Q2ATf~~2fe78qae$l7BX{Mcs`I;^Cc$ARW#f6gxD)c zbP;=3`!YFvgOg&I3#!0%uBblCXcdH}(4-FC?d0jp z`yIO6#*J%=7rPQFi(X)y!htj+=Dh1Y#`C?`(XcBp<-iPUyHS$zhC{sMJw|1mdj7t4QM3*O&$O%;q3+ka&`_Y+y-;uSHvYlS2G`$MrH;hv1n{lj zE!$E0`;^9siW2+$8_#Bj44qr?slX5u|5`|^u3*CiA1W^VqspN6U< z_ES00iZOJ(?WjUcb6DYJSsJ}sLU@mK-LYt+rYa|CR2gRs^?S;#Ln~Xg{&v0a?0^ng zNuS~Fi2hb|s@{h|2i9y_Rj7j97EwHBdpIQKu+h53iNyfI;ITxP5k%G~@*b4I54CgR z)P)i@L@;~1Qg&bM={>A*P19-uvdv2x``d$pbtkfZZdprNJ@q5Hu_swNj|yKgwm7u! z)pVGWDJ*l)s!>r+F9o4HJj~s!PcL#_61Hy(s|i9m1kwgF*B~KQ0vm7hi9>_XQb4|p z5;wdD>TIX7X|~W%D1ojuf8B8tb-sb&+43Q?1qh z-Tzw_4>3VsYqN$PH50C~e2Q)|yj_WMK%bw>LF|ya2$sqqOb61FymmqkQEr_wWih7~ zFa)~zBjI&4VNkoE#QN{9_gs;XYB>)br|FyLI~+S1CS5^lYWy^X6sy{1Q1_I3)MNZz zwP|QVLRBRKJIZftvbGNEMN@LWi^|v?4uExXb|VKT=+d*`oWT*Z+F~y(PUeIbb%)F_ z0td~Uu{2}Ss3XMVW3dz--gG(v7`AG>?bT?b13wxn17CN0i~;{xEoEVZRaNOniIMO& zDI)e9ZL8*9NZ0w>SEqiGxxH(?H=Dv|(cBcCKRQl9 z9J&1kjwjGSXe6#n&!>P-T7R>i?a+#qSsk_Pe<89ffOiA_|XP zmA$3?(EJKfFkwDLU@AJ#!q)Wp2W!Ddo6>C=eY5b&Wu+c-S;uXR%*ELFmK^Smg5R~w zsJ04hj$!>RO?mQWw?X0E>NyGl_47J#7Qp)LI?qTC^607`YwTfKD~r8T?43xcw%LYu zhZ4IS%I#!cP7v~*{yhFUmOXbX+hie|TZq)O%p?gPA@7iWF{rIV$t%M|Z&xn%Yz>^X zV#DcKN1`zaZUy4~)jp_UE7a`iT=j~SZ-xWMUq(x=IQCFT3|@J->8NP`%k3?T?KwDV zZRG4tGy#QzQ*Fm{rv#KLl#5YV@BuYLopQkXP^ImsX$jp z<#>}q=C|PN=*)s>b#7u*;3L_Zb0{VS2)@i)ugD^@|Lfvr<(gg_YvB*>XjDGdz-c^V zRvwebhVD6N4Obs+MikD#?UDXwSSj>H-`lZMa3a{pL%4UVp?;Bc#uuGuR;=bLqCv{b!MdBzVJ zGcPu1&39z^Q$TIa+;kaIR+*)XfFj^J8aC=O8t;#*?EPDCzF>hOy=(q{)D8)Rip~G# zPO9}^KwQ+s{xKn_9tDM2Q)fuoef+Y@6p|*2_X(ht8s2X3{gq{HE|#T-@H!XCe!i4d z0+fc~dxf{wl!%lnsQeukR0x#{X`nWoQmO z=3!9h8B7R3!-#^aL`;S#%?z`!ceSe8N|Vqm zvVBRzAor(2O=zkXv4>3%LoFu~*^5@T$EFiNDAa_M&OQx!s^wyx=2#dJ5J0Kyt(5Yp zhL(OwinY#rK{6-AJ2Q9ZW^pz|`WX**4=Z#0R%2XQ^ZYih>VA?3MBYM_K#PvMs6hIP z<9C6sj9K682f3oW8-*EqjII)&ZXBy`FZJEH?R6sOi`(EMUT6$ zP=R=k+Nj|~3YpW}df$<@_(R2<=RE96-rH;f?~+wFM-~)vUf2sD-?p7hkSFO2`H7V; zctBm(gN7rLf}F~x#za5GI`jU#dOajop)%D7PI7I%k`G_9?RzJr^wu~F0y^@j7Ubm= z21lV)k^}T4hUXEB_J(dUAM0}m&d{K_7zHzO)E_B68ZW&Wp~V|ZP+gh*w;_#;Dlo^3?u!e zb-%ET1?_9au90X-y{HD-LE%A!`3l8sqsyG-q`OCQ>vN1Oi+F7_b=_QPdo?}Yvy?$yRPYGs}#v3-THX~ zSq9n5q()N4n#?{j&u4>T&ZasqjjJ6s3+cTIK%s|Q{eLGsN2UT@t~gtA&{Tp(Vo>U@ z#LffF=>wUce5T2IWxzK$UEqFvH%Ru6SprX5#@lKhjcRJ8ip%YP7hQmj7AE_LB?IFs zQ$98RtfV?J|NfIt!=T*robx5KJNWr*zx*Vu3u-ulzxH7&#sxF3TR@Bm0`H9OBL{0u zj?gW9coIe`vY6fYo^$7L+dDgAHgLk6)_jwWtBqZF&`v)rN7gepz4;WAk{z(FoJ&LM zN`3DKV{a)_abvTKR0{f|azZzSCsX4*#cf_?I-fSGQEjoDk$){FV+quWoql@>HA_}l zafUy`g!$^P68ezf;^>E&xDF!yc!^4l;#p{KqpN+gM-;Emq;gWSbc0cPl-f0YQaR5F z*}smtto`7ct9!-Ne3DeFM5lZDsJj;Rt@}NPwpdj2YfOz8W+7W$L&=)+eZpbYdT9Ik zr@r2;Bg%~m-?ngh<=n`6#o)|DNT9YfY7xnlmjWb%6|6sE5c0KF5>icmBIwD-l`@LmU@f&EB)FQ?y zNZskp8^%Tf(o4M>o!kGuz0EGKS-Ad|!!~r9=eSLG@Zx`a%$t3Hzr?MQu8g@<=c=hj z61%aj#h~q?!jvQzcTtw+8T#S^W}L9x$-fkxnSH*@E_fINFGKBC)R=HD0yJobVfnSL z!duI{hYkoGwstnQpQpFIHY89$V!kf{{0q zt%*HxK0Dix0wb6>{9aWRCWB9KFze3MOy{;WrU9etg0k@s?BB*8Z#3M^PZ^JAF_i(EJ^Q!6nkEQL1sPfP zAyiUml3>*s{uU>);JkjCy=Acy2h!V>w5x)9h3{8~1_fKT&gW7w&A2C*o^gL3S!S1% zLRnb{8{Q^`N7kLt&${gh6F_!wTh6khV5PY^A}5Pit5A&%+bl!r{0_Fr;IVrM{$Qtp z($w86rND>&0~o2Sw><1=bOO4FsY=Dz=Rdy7kFWSMpolXKcsX4QF_bo*OeFHM8@6f} zMxu*0hI^-CWSO2!_b3a%<8KkvL`iCmeU`zoW)Dg;zL;3s?(MBvUe$|yo)C;3DoX5E zCiKE5I;aASo;5W1s9jMV-d)NDN@3jkfg6|xv@B(pAc;tvDR3Q-m24zzn7%aU}-}6LFGZosvd6csTw3ZFW{mt(({LRT(Qf+G{_1BOtcXM;;{+5jz_Qw(82v=Z4 z&fHp?xjz(h6-IaSv#dM8IN|1`}t%|<9^jA3j zc_&~aH6TLqxaW%goU=goWh*r6?G@``$DJQ9eI5B+wC-gcup|8xUNm0pVD4T{Zce{Vy=KXQdQT`xb z&0C*4>Z!vWT~`XL;8(Gqh7W8VYo;}+H6m&k>iZMW?Jri}26{x2kL;*ITvf4Bz!Otn zid5WxEGeNi#<=P2BDHcgYL$KWUCOE@5>|iW{qIRou79A%hPz#5#~(|LK!hZHVfnTu zBOl81r~EYj6joCVO&@UGV^=dogHm25(!P9_XW^h)^OOo65=iOGTa|HrDN=Dye{&J7g&Ec3|@nP%zmQay#o zCmo%(D<8rgLvunF9IY)GRbNY2Tn>~7DbeUx%#=f^Vz%=7@s$)G#%J%k57NA+wHNUA zgYE_UQbnJ5uK`7NOchU)j?)E`_(GsEWo~-MMXo%3ne_C*Le-;tsO`?1quOMYvHwz~ zyV?G1w37j5y>3V03V}m=77CZ&n7i9mXcux;=feyz1Cbex;&aof{fke&hfD3ip(;XA zr5O+WUrYkXtNWalX>%Qx(fp>jKLssyo*n;Fk81F@$tbSA4P_UDXxshSEA*L5bw-U>3^`3(jEELlR0PAWHY|QU6i-o7r!MbJ0LnK zXs>zojd|!W^VCa?Vc~Yo_SerV>P<_nLQgR!L!4b0(Dm?A0cx zy7@_c#cd3fm3ifP3~WLlUS8lRuc1VX0QCcqy)e+9U?&!!yJ32!-XDZsyl`|740cya zd>ljFL_k#Q`aDLB7l^5>YOotPFq;Xh&1ALh@elyLJd9!3v>B-x%)itmG8E%#y0m;= z5+l@aS!*b3&{o+hgb`!6ci1hwTKG7B*gWX_Bb@){jeW+*Bb^nXa?68bbua&Z?{DqT zOBtBm^_nim;X!N(7hIE?^0vAiXPo}M49u<6mt;h@$Z+9>s#SAyDyP+ZiyN+~5KIt& z$nr%u@5^$2^Kk(>y~+!7lqAo9hSDssAyl|W`JvV34~q>(dXpbb*YhqlUm?ty&<7(1 z-VCHO0u?>~qddJ?upTB{GO5|W0kDu8H3cPh+Oo;g<^|Xhn=#M_U0xu>UM-o#%XkQJPrvhiS zCwE}|E!Fmx;t`>&1$7!7X;ZL59>egX)<5Hq`_L{+S-tQy`giH8;@4Agv1jMM|GIS2 zVJ_MtH3Wk83EA2f=`$!*al@w>4p@BK=)Iw0BOW;+s%1564UTT0N{WrjNeh7EPWCd* zW&=(sv&vZ#(=FBWB^AIhGr$-o@!gYg@@k@ps`^XWoa+>OSK7jw*~qb>VRpe%a%sUp zk2{g%57GO7_E5K-;W|9VzHHkDg*1xwicfB_;aJM&XH#j6j1$4{8u<$^w*(^%y!)(! z;gvpP>>j40x8@#BraufcK$_Owds11FWBZTc8V!AblL8}jj>SXBvvP7obBF)^!n2E` z>JbTUzxB_VpPm^(%*sJjxE&q&Ek$t6;3;w7g3zwTRq8co+b(h2u5?R+K(1tN^1;cA zh-##Y`B!`1r-tu8mJmB2yp5Rwa@W4bZb<8QEjX$UkG8wVtH+0>0TyAcB{+3H}mr7_qWAm35MRmRZEo)EjWG9)B zHK%F%Uzh~W;U0mayM|$q_2D^|QB$ot>i&>YOc05#dFcJ$HoUK^BVN~%2Vs?}US-m& zmKkVEr>mFX-L7{p&_>7=I4RHi087wB&+AC`!|uGUSe=(_l6G6FZ1z#EB|N`jecZ_gPH)HKZ*LjD2XVGK2(`ZMk#8Hb-?ua+5*`IDD? zn|Wt#V?BzQFO0*ViV4qdP_HM2RJ{x-5+S#_}e8F^!1pm&}n8msFMb!0T+jjysKbHli!=LSU zu1c;q0vDYx%iFrawQ`^!Y1@;$!ry7TR*32jic>g$cl`^{$fqDLs68%r(R97t*6)0M z>`c`&RgienSosmG`SfB^+ceF>h}!(h4>FHb>7RYp6&|&p*-U&jgoyf?-!WAEZUt~9 z7!xRy4M7sM80PiNu5>SDsHej7uEC=Q?zQO*VS*c!%yY?+cAsgf!(HJdx-7Kvx4u|8PGLSTb4i6gk(z<+w%|k z6jFLvsg0(s@EooTw=@EBgPNR9XNZH-73VJYS)!RcN9vv%9M-bc1$CNvxikX(XQZAE z!fFwElGEtvv6vU9XwKLT7nt7Y1~~{PEOBB+g_Us)&~|=k!*w;hP`G}6(h55{=X4r@ zw}QxRBLZ_2r)k+osJ5AJNJw^oj%hk^kK@_?|6&~i=0%yGQ+#7Ecae#9M2xEmjc}o~ zz(>6Cq7c<&%6j~{2Fo^4+vMAQGnOe;uc4YX2|~$tHee!kCr#9_{(Mn-Dy=rHZ!wpG zT3VI4ARoRTF*@Ol!prM4sQj7#JzLdP)9>(!cDF6L=>=f?A&4qE37nn$M zaZWJ#kW~NR&hyEz>3rBk9D|n?Fsuy)kG6~c=49M_9T=aVY{HdCAcn3|)RE4d;*X>i z;Ph_ae$Wk#BcN3q+^ESf75LK`Vj!e+Z|}JUPCna2<{FnH>7UL2NFjg(U74b6^O4B8 zg^VbmH}rO}`&Gj$Q%cPlj7UGz_MG=j)<St54$T|?5bS-0l}TM`SZFff!3>|3dIxKmJ^)sMN!*f>gf$qpQ5<0enki~-G6cY z%VGsn{_c7CpO`7AD_r4%s;F?~{||D%zTqpJEcu z)^>XPmic37D(@5hBiX>+!k<4M5m7?|u0(z|NxLLxn*XlGW+XyV^u5K|3iEK#&_%O- z?`8^e)J^QORJsw@QB6MBeplAMDu$wcswt5va&7t}PO(C)nkV z`8LghK8dh^|0TmL1dQEybrB+~XLc^r^i?LIsv8YfPRzWGe7{{b-%~C({76g!+wNkg4czr}hV8leL&*H~#)fw8FdVgBMA2Qw?kL?2W3lJuVN#KdQT|JE)bDgV z9(19g&qfQcSaPcnO34Y_0`;#N!{N{-+O3uK^34zzhO&rSw<%)>ddYS%#snGL?|_0J zjc?~&7T$c=iO)Fxbn0`&xoKC7LFB>H+LS~%3uH1R?*_Re29o;OX>W9IvuW#R%T<{{ zCMZ=S+Bw=##y8A3FX|pT&d+FuPU>k03?m~E9;8pJR z+Sbla+rFJo3+wfC;BoHg&IuAMS5REHRbJ(g2es|LxVl#`O85`hmH+JE#*&@S@=Z6M ztrQ^_P7cO|*HxL)9nFmJu_3P|i%|mV;|a*o_|!1usEe2YFQWeo)8lon3WezxAtz)q z6^YJkm%&4PvFE?O$ZF6Fh_7-XRT^F;C80%onP}BIOX(C#W>1Xlim-AyQ-zgQcJT@5 zNYFkkA<~3zay?Tqb*A6hysVGIc|lUHV<&D+9JH6OPxj4@R$M00X~Eo)FKVSWGQ9rn9en4wR~RC^xE9t4l7<(gB5s>U~}ng@MFe{nVkj&z%} z=?M00kx)Lt(wEbqeQ<4)))P&BS>sxUb+#XSXDw58?_;C^2?Kz=amGV@u3DhIUg~u% zzJix6DhbMJ*H!7P5#ICT11b%nb$w0kvjq z4{XFZHK@2Y+D@ER-+<}Jz+q8D zij|mY&5LpAxWnLGK*$A8Pgx@t&8c{0gYK=dG588XCA-&uu0#~CAZh7}3WFbi#djhl z?5KGEQb;SYtF-;0{oP8}953b^&T2E2Bao&J9UbOy`t6CdYh!YX4Hh%f);+Tmvfxg^dDfK?+#xdT+6-PZoYC^ z-rg1jVXL<2lbp6cZ?CsQcZ%SBihqW$s)77*x)i6l#E095y6XkP-6PVNDLU$-}2I-FP(5635qf-d(Xd{vA{v887g6 z+G}EqJ<}v0=?8t^4C{`nvf8+FnFZ1W7=g+1)&6wZe(%YNs#dR%pFh}I%=-GCN``qc zto8M|_*V1}2Y#s=ZOFv9h<>U>FEy9I<#jjhp=}sV`SeL`6-@v8A_~Cw)K<33)xO~= z3saj0BH}+FLoCWL$g-^-$~b2*|ROY@W%MD*~F%*6E_AlXl$*L_e2HO+}I57$wUC^FoAQg zYWxRaqirhj$zsWKK?BY|N#f(07Ip%VeY%|CPiqZ-?*iW3i-0$VD8U(yN?RixSL<9b z?Y``k2Ag-;jHQ6z0hR*1+KFn_IulSp7bYdQoAhs>x=i{#MqNM{HgSAWc?j)0+*`A{ zsuzw`;`u(ME37bS=pxD+;Sq21eppPAhXI1zjRkV^{-rM!E343Hdkc}`xeeNbwPyAN zp9pB$iQ`$}JyDi)?`%;p!y)E6O6sDi2|`UpL8zcdz(QN4wH=e z8lq-mgcKQPeKJ{Z?cx{xPpePbzj?}4@bCp22WjvXCIKB9AN$S}=i&{G7oZ^maj#5S z21zebbah5243$g?OgkP#=iuwUJi1CA()p%9^xFWJj+5=U)Xh4tX+jr~7pu*7;6=L9 zA3hDv&DrlHpi+Fv+&!v1uIll^sy zmTYz1$ZhdG5xjM>GatC^`>DHUbaa&I6*fgkb}hT@;Q!I$LuY?xe#*nfIYJ&7-mXIp zY5ipwvGU_N@sxe%!8*#P{Qil$9nFq~G5Jy1qP$d39u##)!SGbP(^io;3>+j;oJvQ|vn}%5CUXC*#T*;(L^64eiWkGE?w-TO)DV z$iJl4$?yE#PK&p z>_+f6o{@Q-sn07etLN$ftPv9l;NzR`Nw#u-a=#wUZ5t%pjzhW`j{%gw$In`53DBn! z3MU?;UrZ(*1QiY$s?pxktQR^^8}x8R2A`Kz@^EfIB3)+00)`3)cPo_Vp$r9R_Aw`xG}=x(p7dT1LHs(6pOF?8 zWtafizzs+S#29EYAW*F8Q>%v=6!;baV5~nr_JQO{qCP)( z`wko251S|ex&XmU#HjJ>I^^O`N{}U{IC8ZFRX#5QCHEFbc}>VP1LUxpaLu7G=uf!& zFA2zO5y{jfy}D!+g|e{u1fd!SFcDsEoiMfR8Baxd8~p!E8SAc^2^XXl_<|!GsAUd5p(%xA53@bzW_D03uxC4_ zHaD2#_S`z9;zQZY)UfOTxAG*;pOKKc7dl*t+Sdc#a`=C@{Ovm}{dQq9r9zNz&H4Yd zh{VonZY#!T*5Qta)+1x{~ ze~JHO1MK7K~Gtb5>FUN>~z(j_m^vaCXV9)+O*m7N6Zff2oF0b zZH8#Yn_5CZJj76&RUsW=s(~c0%E8u1nCF;@(EH>z1#Xc zrkmozVa&w9SU}>Q=-+IL=?B+mp$f9W0RFz1SCoEj@D%{DBQj~*DW0ctnnY^WQklkw zGNX-qs+17?BJvt^Krt!ri)21_-UD!Jz(UJf;04>Y`poeWl{uRJ3OE19_tspi|DT4P zin8OTrl#D%P^UA)YPYNHw^milJ`E3Z?V$9QJ>o4)@|F-btFX_Jz%HM|jZDJ`vomh{1 z<4;RSAraW3r^DEGmccoeQ0ywlkjmdTQa)kfRV<*@ndr(uq9G~FmQANbSM%A?`~IVM zNva=rU!f5F-ZQI)V+mNiz#7io`rAgoV;z_aH|CKI&XAJ|(!__D^rWSsm*G><+#6uHqZ+5uLO5AT*5IQmRafhz1g=Op&P7b{qeEw6^~hiIjN#ND zzFXABCc@)g84fvgHtC1?zKsuBq1?sLqc^;$?Q5vgHy~34?Ec)i9MwwTWZx*a5%!vV zq=OTW`A`b@r+Wm-L`k%B^qx|glYU@kjd#xm%Bs=6p)&D9?cKXj?Q`tAucTbZEjr_a z`L*yjlTx7V`0s>o*F*C=OTVHeeA05-pc%8-k-YA5eWNmF+{lUQajbh&S2Gq%6&J~E z`%uM`+zak&A~H4wRl@e0`yVbkPPh_@K#6~$_%P(>TEO-i4h;jD;v!WaZS$`tWYBgk z8i;*TaODSIt@F*L2fxh^YFoEmE$}#QKDAHrX&)J@Sxxn=bqyGjs8y%zAHDgnWgU*` zZ9ig8p1sL`EBHp1nf3pKnJSq|cu-wF!5*0M!(-a%d-9mrDZJO-6ONexb`y%g_~fN_ zyj+EiyeGAuWmRAQHLCTrE=A3>6JMkT1r2Zs)G@7l@YCDDWr)3~Fcl9w%{Iq&u+Y>Q zQ&MhxBCEp}Qn-^x)iQd?>h;j7+~hfFUj^lFR&pLX2<#j_@WuD+fX=8>%EGBH7dhx! zm?q$WM(P@vwfY83O20c{1`!c7UO7=H{TjQrxbhoYpRfN{XwZe9TqR>ycD=X*&AGpp z=kx=w1N1W>oXwIe8{Q7p#>#+bT2U(A9S_dCL&$(rOD)Qe57Z5{L4G=Zp?L^d_En8o zGsPk6gxaV{%pg>+nD>E>cb z7A<1@>@2=XcQVA{!` z0d3=S+}(h)%bYR(N1!%b_Z0I)q%VgN^tf-0W^t=a!}Gx_Lu;h17&XmQJkX!A%u&z}nf9K8rk-U&Eq5|Y0H z!(Lbe&xEdFSD5+pm$z(8(H5t~fv+zw=P$AIEAtnU*SdXGcYme^o~6z&PTmCKt(xt> z^vhRNTFOgxOidPk5nrg^?AX{kYW((}$0>2z`&5G6UW@mgr?65woo+mr%gqm9LeBmR zH+!ylk`75o@AT-eMz4v(Q9l?8fdnI0F@=4WDLhDOs4de!w5v9Gmp85KLzzJK^M}bc z85Rmdcns;5DHz5&Tr@E|CU8FOfuy@BI?D12K;8h^E+=B~DF^T*UojG-jcl4rh5Vho zj{~%yw4{lpIQzAYL-I2nvi>b5C3?eq_tY}y7YUe%lJQDmAwa^}1yjKBZ{__>X0NkJ zlkmtO#o_6T{Y@!OJmlzpHXG}~-jXT3q6Js1LV(=T_4$Gba@1)ewDteLfIDFr0%yej zny2;buZAoxM$LHgOu?Z0e>_G}x!0ZM15S!WK8w|n^Ot+Pal`wTj2V(TbOK8Q@=K=cysQ?`?S}0esA7jL zVrxyKaH1;=eq1UxKzK3W20miM&n9FyMHDE?@Y+LfD1hqu*FQi?&n~CVTj&Q+k)bh5yj67^6~m-doc_U#FwxYm4l>J|WB5El_`U&Z3LL8_x%mBt-gOatN#! zM)ug@*+oU>OL!!{gBbCbNkH0af$P6F-a|}TPVZ&)3th=W0<$(rA_cZjA?Kyj$lKw? zrvu){SD;ci0%mnhp14vDfwD>nx$xl2DvfGc5>W{#@uCzp5v@^^ge&Rb?KOpJEz1-{ z%ZTo^M_)dQ6jT_GO~ptWDL@tkG@8Bn$O7?6qg5@BdNyX}-CSVu@cy@8QMDICI~Vuc z4rJRp2QwwlFm>N@6{q$fDw7m@k64qVIjl`}{%nH)Kz>(&?umu&z07lyDh0)8Oi<6;pv1MG!;6#T$CtylmxMMrtRb zFhA4VVWl*NRP!aLMh%#Yu0|S>Z8~8W_$603FUc!**ABNsu4ghVf->56|Ne%pGjaYJfJ2WA$2t1ps#Xrxsy2iB zb*`G7rY@qaGEZ2^K!oF~JqEj|{Em1SCjCCzjuQ!_dNshzXx+$$V4oU(bhW461B5|W z=4i2UPyQ4tqo^uSJ-x*z$~F<UrrndVv!Gnf;82Q|GD$CWs!*K0E@$stdB`Y?@ zm6G4-kEnj3M`s?qd?A>4Mj*>#iyUkwA-Z9ow+gq8pCw3nBub)1*SoxTKz1I;a>oJT zAbp094ZAcDrou86gFr_jRp->s;aS6pI!_VUVehkgg~Nqmju0d3r^@k#GLT;}E2Ek` z3e5VCeA2Cd#E4*)6vGhH1&cG99{UNIka*ze6FmEChs{TNg8sXo3ePwsIp zyrFH}-^7e%BwQ->}woCPE z3jG|pzk+1XqnO8D%slt?^}U#EJAZMucGVE*blDQ8c;$V0nJMYKzu9)RDI^v$y+66= z7;R@^Bxluv^kD#=jpqmCph(M<{Pw56$9?2(3*eP|N|Eu?A%1+BJ|WCFKA%gZ0o8BR ze_~$Otj?JElYVh+!MYHA>(J-7$Gx*o-o>-1pTX2-f!cT45&MdfZiZY$R&r%_bd;7p<#Ku#3Oj}G+J-a_U&GMU_sqLG)xBS+y6~u^9y)WrC{RukggWYPTR0O4}FpdQavxvx2As>Pqs%r ztbk?_`)rKo!$x$$-u7*LZ6Aa=tUGHae#wBg`>CN}5^3P>_+vdZO|W@L(iigEys!~v z#kFzK^tuVn`XPv+4jt*w-h_7sLdB(|t@loz)L4d=I10c~noI8>7!6+fW2>a3f4WUU zkzOL=iWnd!mj?H={w2j88irk0m}p|uw9L{% z;ti`Lzn=yMrhy~CHVPlXQqn(c${ho=4rq;y=6Zrf5*Yp9<--e`OqdE=f~%P`-S-kr zN|ICPHGn=fPGR#GH4CJDakA-%`uJJ&#joV6$JYajoj0!dfyD*gHD250Y}?>T>q!e; z2IN0WazpX5`2$7Wd#ZiFcvNaFZp3V|o)|rd?O2@>4EEK?e^-PFT(>1xCRd+w z4`z;z{QuI|8H7lR|D48MiNqS`XZ@Z(A~YWMCO!*ZhL2)>Tw)3wnE!M}zh2v~4E!-^ z&s+LxHwZ~<&7K$p{F>SOym%1_&xgipXv;g$xHDmg9lS!Q*$=-~LFa=2*_~0X&qw+( zq!!tDMN0j`kuANd?Y@#tTclLQ`ivZ$?+HWh-?@8V9|6KGAtz2=LjK#xQBl5^VcCS` zkQmn*E}c5kCXsSiP_TiTAj>8E|Lhh8HVHGftQ}!8BG2FiH~F(WugVZtes4ZGbQZu$ z-qIp!?io4*0LE9})+Pdaz10_TB!}|_$X*Y(bZ%DYM#&6xXw^$V+A7OB#W(r@;XcYk zc@s@eIFw;5SFtk9bL1Espl9kg$ zl&hfFeG*v_>!~k1IbPA~P%Ef4?CY9a=3ynNU@Y6;gi4f}T-uM1Rkcy! zvz_+~0(1&j&Z|!k16sTtcexN{z*EtxzXOcMimP80`=8p*KLPZ~Z3ic>r>_rYfG@aw zmux#5JUX3?I=xw=0V^*8R@|Ex1uP)W?s9+1@@qH@-Q@QLEU|m7J{M}xeDfN_RU~Db zt@=Dzq?4BE%;XDH30(I$mEDR(oX$@4<7TU1H?kN3&Nkt=Ib}2INx$TzTj=fZn(Oxt_O$1 z(fKpHZ0%|u)T{ZVRS409i1ddv)hbn+?bbXN82u3BYgXTq*?OL*&3t0?x26&VZ=)*1 z0+Zs^u(8dVfi~gb{cJWex9@ZF;Z;0xmeu^z2>qN2Gx+*EW^GkZ3max*H!diN!@h%1 zK98|82opKz&r8lr= zNUR!fniKEr{=>2{GWa{oA|s?Bzd(%U6SW^T;)|aXXev8w~SUhnzQ@ph`)y!I-W$t+oM~ zqH&+x+hVsmJa1l}H%Qs$jq{&sEUPd_!R&sM?ysHIi$SQqarZE%9WceEPflY*!Fl7Y zHJF;%QzDHC-FVDGB=^9z@V!ljtiys7eUW`pFp&fGy}G*NMvWqu`_X$~Km*3p9vV*l zdV3ofGG0C+QKA|@3oDCL(LkcK*BMa@ygL6I(LP#e^CJq(@afqzJRXo8Mmb6U_>D^Z z&PS^jg`q@{0JGnmR{n(t{gJhv-3|r)M;$D%uW#=HB8?atV=^dB(uU!>1JsZDB>){No#Arlr23Hw%?`8u?G)3$`EKq6d8p__{bdwZ_)vw}l zs(-vY%*1R%EZ>^z!H%X+8 z9z{V9ctHMH#e>hOHCz-0a!s7u95LCBM-5zNAShvMcz4k0@=VF_KBC%inEq4IU?8%I zbcpL+{o`Tg2qA(v)Bxe1d;CX6xH&Z?46pmOboYHN^GImFZv-(huY^s-OIiPrZTLha zFejQCQAp&Q^2#d*xdD$FHpbG|_LogE0v;Y+V;jKyDq>{Y_rQz?m}F-z0@U3e6B8>Z zX7DUZ8`|NZ9cp4(WmEsncprdf;+6Pm68qFbMk}KBl)&+n!kzfY_kOqkr;I*ev-r(c z@Bz+&3X(Y*I!M%^b%UO+RAq^3=aQys72fwk7)YavzhV$qXfa zHwr5u|1A(oI8RXm$X^>!s#LkP)UXP6hp0V4d@K?fAw!WexX<^#D?o zrCi86kYMfmTtH~2#1^Nx%0TesRptdJbJ#JtBOQ6GUHT7oGq}3jSdssC#lQfWW3j2r&=fr&7+Vj^GBt>#E4w@ zR4>mKXwMX;O4*N@?);hW^Ny8f6ZX{8spe%~$l-R!8*MU#9_My&|7T~YUb0-a25(`8LpsSn;Fy3o zTnrUc%KfSu*lo{?ByfCqanLzV?XV0GG7D29ag8LV{vTRormmxlaGtEo;%*6NW?@Na z$`a${;td!A^hi|dI*6eRkL${eQ{>{^iVu`xig<}%?_9OJ3un&%ARcXAnk)HC0~lW# z*&Z?+F{B|H5e2R7?c?wM%%%GH=UDa|lm3S@Y#!OB`ed|0IoS}7u<0wrt5s5#5&5+p zzYErQbQwtFnmVutOH1Hl&Y1GLf2j^=vf1T2W+>n21175!`R^*dV?{#jHUMWp<-Ewh zRpOq4y(Xy`^bOOPXzhvh$BQFLItyjGG)e+7tR0#4pu zT`$KomxEBf*-8q@RfLn35bdVxi{Dw_0^o>H=&BYTm4Me zZ*M%&u*rqgQ>fvB=AW!@$79ea=hZtZ zVriHE=gGi4_pf;=@W&98DT;aFwW@}Yf1sX=K>0q7IL+xYu^?AqAk;4w~F za5TpqpFE&E*1hbfni3z`t3%j;ObDQD>m_Ig2f&6@MsE3L6tf}IahuFUT6UXWOyQbU zQ>5_cWylGoV)FQqu19%7tNQ!#d`JM2miZ+*q2mgWgHD~|v)=bnodBEhTp=ZSAs`xw z&Vd2tVla-rqC$yI2aONLw`V$^_q$EAt^>6{I$HCXNh_gwspqY9hmB-XD*8VdehdOii@rnAwy} z)Aq@e7%cM{*BMx3STQZ*XH_goi|e6MAbH+q^Zn|9;fq9AbX)Bt&@uJys=!{ai0zh@ zpnh-GV_b9E_RdsO-VKxH$I+)_+_3ynl(+g%m=m{d87Kwh7cw2G7)x5-m`GN~Npn%% zRwu*A>~K_vbs! zju#Lr6xaj-R~ofEq^qPsd3zvo{^zUN>JH@g9%}6(EUN43v8B&rRxba{=#K}K?%zP` zVok38DF9DVbXLXLG%~3Pl_Ihow;~&HXQii7x$0Lh?sQUs?GC_OZsa-wSh&%{o$~1O z{8`c1V}n8dt2d3Oq5HrCfhkzhtND&M+}@({w24958V+&qCz7 zZ1sHewl#8H;D>(F&sPp@;59jkCE1Q_6bGM&0YD#h9_Twvf7R<%mDX`b*=>DYA!hSl zlU41?{XV#MhOX;3p%3+{q666aCwVL%f5~vGfa=~(E%|+CVk^$zx6_WgFCHAGJO|5s+d$q(_dmGKte9E1+1+;qDTfFFR|(t zM#1Qyr^KfueuG8AI9y!N^@+>khO@IY5I~}HR?7>Q1%#m znJxJVC=kMsKnElIRzv>SW~jot2JYrp4FVnpItr3GW8-=NsJULUGOin+E|dIwNVnTj z+NbIp)wKo5Ie}gDtg9QF{&tNYJ#;eG?Ome`HV7K8Hg{_ z*C2affPOSGtHc#*;*?la@`<00=LLIEvnh?i2q-i5)M|xHXdg0d)s|GfCuWOhACJW% zQX7$H&Hq213WL#bhc!$3Y*~1O0-jjZ;%B_h&ktjUYp#MV#6!Ri^PL~QyglxX5QLNQe0h{zjl6;!zDiaMssLfYba03s{`-6OJHHo& zr!0MZYo-52jQ5yg^Cuc*EHapAA!ks+k%hV7KfM0ss&^g+s?;T*l1L$1+%K>3d5N7Y zc>}04^S}*K^jS~JSM;~D0XVRrQF;SPGKo{14kK$R=o0f35YSD%nwa)n{Mhzc?=_4x zMQ(JF;WwC?A>lMl3vm}C3gMQ;j&zSC9azg|PWL~~TWK@-uz210j8R5%tM5ZjRAChN=Cs z!R#6EkD+e#Z!)&vfuxs5I~Y=7|2DcVosj=-ctIpp;NME%1^vXP``2$=v#!6qsn=%S zr_B^u7ztye<>{DJ7<;wauzaQl9;r+oWs{RTf}AX(&0~CJ#;E>RLEll!c5tIqY@ZE| zfc3p9B##XgnMZs^nu2D`LIzRMpmuy@Y!JC+nZ0JyS7cwU*7E^8)%~-ccbPW84Sx>L zH%td;iQDA4fg_V|2R6UB%{Mygi|;-CizIEW`!E>Thj=9m*E+4*KC@Gg-7<8yTWnqu z5syN4lZs|P_cm2LJWp^1+~|oK9FhJ)4{u(!{=;SVr3$sbBwRVw;sw{H5{cE*~$k$FXNfim=@A#T7ofw+5FGLGeV*kO|SKp0P%OZOw2 z6{e#uwn}nzo1>C>7>SuVM=m&xkN>M6-e*`%QQaZf${RJrLoYJF+ZwX-Y%?sSm*5h< z(j(l=)E&Q%ru!8?Alt2fDm+7;Hqg{sw@z z?Kn8lgN=Ye610{4xMu@Bd;w)~+%$fRmJwO8))d(36Y2+;2L;7i z)pm?8WOlU5xZw8l_2D(E%zVn3jpY9$ue$L}#H*d$Lbu}KBIixKWjdIt2&|dg{lv?S zIcnPbR~6Rm+vx!?BJ5ZfA#}1dMkFyKCIs?E&&4fsLPw$KS?B8?c{h)aiy&>*EsYr( z!T>!0vQ`d`;)au;M>fa>a=V?van*Og_JrGUX<6*!5)NV{#Gw=pO1b_!Sn4kLp>X7%+<*DH0J1_T^s_8!K#AqD#5)Hac1SI(D+p&% zOHMh8u+VQsu6kB1fpAr??=$FR9zjaLSrZ@tY^)2ak2im6c`UxMO9{KJH*6d8yceh| zZd2;hJJhhc@mfAxu`R1tCqg@!JLz5Hng#KX5zoIFIgTkzgTs?rG4LWtEHJCJ`f{N57@IV{ojdPU@kbvU>(Rc(775$NA~Dw4|Ld^N*~b^L4fmn8411sVU$b_rPS36)yAv)Q5r#cxSt%Rr zp~b%IC7aR0Pxs;Vh$_y-#Zazekx~lao062Q`%0eN)=^(M8vx~`v_7#zdU}_Ei`}+8 zT}v`cn_IcpPej}uk!eKc;>O0J!jy|D8Cp2DE9Dzs2Z$c)%HCF!wz3kajW|1pbsQ>X zEw{e~@8M&B!#(FtX(MBN+TY5pkqa+FMK`as34t3vB?WU4Zv*mDYYq~UrSqEQm8t6w zpALe9o;lLhTjjXG+#&Os_@V1mw6Hdt;wR4Qs%q7@Y*KGvHbf=7R zHfQv(vk(W4)TxZDvj)ZxCC9h6Pt^O8nI)!G;u+4ynONMf6)kwbKIT2nt!9YX=;BTsMwUEGfu%>RknKoTm@_&eH& ztbR`YGxZ3l$@(kSKkR4{{~1NDzK`Nck`$Aa#9UUtj*_l5Tqe@1)Jr4mm9&i2EjdC9y> zEFR2|d~Z1Rt_N^yC&ZICAd~vCRYUllg{wgT-pkRR)h?YSo4PmjDnjt!j%-idfOHXZ zeDUo;^8@N3bRd0w*GrXx-Q3Tr@sZC#yuxu-U`+q-2uEcb zKOlC3Z@^lN{|Nzb(d;omtP&3{m{Eb^+4bxpxhibqB#prN0;an88#Dn13KbWbR?NYh z)Q4IrHR6fy;y^)i*r-p`sczFFCLNaAA6;Y%@gdp=C!X%eT`H_-aV++o*!hA?e$3961|8?^Fy9iONHEo{W6X;C|oeGL~rOtB_P* zT|%PdpMx-r6gf3rN_zI@bV_i}kS)ye%Zc5NvS)z?Z-7nxP<9C`fq zm1D1_&-`%H*j^oVss}hwV3#*yoqLc+VIF+_n#?Zw;(s@S^Zxl&ZeAWg%_A@gZpIZ; zS5kGjOpZe-6_6%e^%|#Ob)NYe(gBc+ED~Vv3a;M}1WtsH9;PRJ+QG=@KU(8D2?@)W zW&c4^)Vy;*)TE$Qe3kxYITNszV*{9g<^zjKeE0Wk;XU<~f7)H@&R8BkV%8BUlGNwj zq~cXtkO+xx^K_ao@uS<9ggE?^d;IllAwCEv!y}TM85vFt{5l>Q8r2s8$M5RHl6M#t zYMZnl$r&Vw6O+skT4Ph8d^9AH0!cq)BhyzuaP`+uzG z{QhK%{169_5Jl)gJ%GJ;@qyqzm@WaPH*9~&(<&4addUJnCr(MY@dGU2YT*EGsvmoN z5F?7RrcXK60e`*wi&JVmXExaYb4VLwQV83P0R0S+NeG4&)(N3{{lLbPPXIh9%Nn#i&^k4VcK;lO>*WX$bt8 zx8v~kZeUOm0<-BJFtSKrS`4p1Wy_rtDo(edU2b&yG{ph32r<1iMWzAZrnS%ztfqo* zXz`i+3Rbj*#SkCt;7>rv{j6Q7&&;xst6@yM)RW3$rPQ_H2;l{cDR6u&c+{F}P_61P zg0uj5%&&)yvVIHeC)t+-J#@#iq58;r8#U<|K3JhMojH##l*oH{Skuar!;0B^Up}GJ zR9=g^AsN3eQ)s*prx;hhYekT@?dW}-ld<+#@mMz3;qYDJ+Rf9mAEb)D-mUdM9gkL8 zb!FC(h~)nRT#?I%b#0|J9-llOO?%|;k3o_rYqhRof8!hPhH zTfxp{MeD1`C~t7~Sj;1oY!{)aQ}*Es!kyNfV5Cr;v5fPle!>tl600e#c(1wO&Dr}_ z7=1G7h|ggY6)j$Hf`p;xNiQE6<0ql)HtLJTUQ+&VP0ci_f+TM!lpJv_OJMc!FgN#3 z1r9kFqBY;qm#(1ELfM%wc|}iou~XVy4!iM!dnLa4rj}6Qbtr3gsc@ecSzl14O3`+Kssd*CY*Rs^1xXVznLggZ+_v zQtD+e-q^LO((5Tnuk#U$loXCx_+i`wH~+}oN-!x6#gwIt>1WRTpg#9_09Bsta{^gw zG?~2Z0Y>EOJJZ}n+|tFvra2zOrekGsbBoU(tg(o(rjB#(5RaffZgVLf9jEqntv1>> zn$G*5+K_3DC>JDj7 zX;V_LWzwv(j3)=l1nFR~S4S!hSu|KUCmltvLdcnfF`CrW=ORc5#ga$j4pLh!0@K$# zr{8&mC=d<_35E2wI%{12($j zC8;}OcyM7_HC41a6pHo$j$T#VO&X zRu30To!f70;5WU|-Fdx?^wqtFXHOW)f)2h;5ame5YIhccd7t0tiktD~nC7iw! zP{yQcpQ9keUkb|5MyrrA{Dt&MLnmARU>n^}c}?q4vvffn z^?fEaRA#CeW@`-gEC1B_xiMW;R4Adh|LoBpXd$;yx!Nas8ng(F=sG?^(^kqsK{*kO zcrwgxg>27He9>^RTots9n5a(^ScDZ@Xe=!J!Q;X8yD!r0n&KeN`EcKghksgMDNQ$! zZ9mbf@?NVk(}2)ai%&n2kaE=dMeBHC=@jwp<_6kR-Hwj)<)sO}?S5tHj|rE1@ly-d zwGs@370u~R5}C=Aa@a|PEpK+!@kS5pihrbx!W$;tUz+II&OXgEk4);-jZY1(_fXI0 zSZo!!pX__<{cBv8fN7z3Eal%p-^TS6PBmulg`4!b+jUOhvD3xP(!US4-O?8iu7|6y zadkc2cAh%cidP)_A6UdR28mx`YL@UtF(EAcl1r^<=_MA9*uMIBn`3*S5O}9r*g@2C zQ0>0o(_tg=?T@e->&hO?W>}z_gfF+k?Tpd_h{}2nP9NYcewDTo=AEgSCjsViK#|rOr3onZ%y-sUs03Y zSn1pG4mpF)&*?I-pY}AVElCpuw&Ow-n=FxXsf2%24HetXnLjLqs$cXQlOcWbxyAFJ z>dzttTP*%Dg)tza>j1d5wwjQ=10Mpb5suA2OQam_BTd-cMq&=r?seN_^=!_oIM$lJ zo9P@@KZhJJ`iu$Zu?QxMB)|q;jvYVLabO35oun?Eag#VZn&O(udt%@jf(o&EwlBG0 z;GUPJi@V|1WUu?{zUB}$OHFHDfs;#2g3GU-0EDiTcat21<5m6eFRr0uUP1AVYsn59 zbhUlyk|XWhD!)a)y59u!mHhHac1h?(;t5IUg_xajI`k&a*cfc(ue8PKDeRXm76e+p zK~*~<34^Ex@3&1Ds<%`>TM8#> zk5*eK4^p#9vjwlq%p`F%^iqw9o%w!n05xsgJ(PNLo?lg8+!@tPqZY~U+N3t+q)AaG zD_F2@A#e6!-TT)BLC^yQmXMeq{jI#0jStSOW+-ZK)yKrjG!bV(Y71`vYI<7TD`8=U zd&wCeXz=!9e8LHm7X7|6WNL?ZD#=^X65`03K$lIl86Zs4QA$4<%oqft-UPU7nt$N5 zu;w5Xxa?&s62EM;YGpzsd+n=vuUX5&nE!2e3QCDNejbiZfsDfFYNT|3gOAurn<)G9 zEWgd|1X-VHVIhWD{mX$9z1#Zjr1+M$!1Ul+O1OjgLEHm8fhUKIx?5qHbpag&s?qC9 zOZo&DWj)Rf>{;r9vv9yhe;0kDdmH6()qXx!PyB4#cX?5!uhi*^R{+)Z+M7q41|%70 zq_3>5N4qXXF2N{VkJ}^T+mY*?v0HBG%M|IM@o^%EPb)(&n6Z1EICes2{A@DMTrm7Y zD8;6D#4(Ybq&!}kY^@Eq2P#wDQT}4hh{d}7y%SwKy#D+`S~$bjJk9g&|6 z)nC=K`^^^)6x`*Fd7#XGeHFvboqfB6Lf*8_;?hg2G0P*GAs?tvMunw0@%vx9Iu5>v zzJe{z@bY%3SL3oE`p-h@(lXFAin^_NYEeh9imuy_mE<>RaXg zyZsLDEH}$uOXh!NYDx~2a8@=NAK#Sbi)>KU|hj1w(fJ(u4O>sBr*j8UifG%cM9dG4 z)gQFkzMi6GJZjZ_!P`?>paT8GDVXi~k+AEhn@t|7myJ3buDOxDOVQ7Xv7S|A!$U8% zaFDVj(ZU~kwR`O!qt9&6SQGd<-zx-V=e1EG!m}8mo`_O^O}$6^jzh?R6)%mKOWd+1 zeod<`HA`#5EY78F=VA|5vZ?tA)p-*vFa?gt5d>u9wqlu@z*3Q8vyx3D`&U!x9u2&- z=%_)+LYHZ>-PfeGw!?$hY7YOEruBtcHqpTOb(7nUnm}%XDEV{_%(2C)oUE8Ri%8cDKH!WBcr&dBviLB2~=X5TC#JX@uZQ9t0!*3N$Rjm;RXy z?FY87(u-f_60{^%EOy|%Vw~8IO7ekV)5Rv~?7J{}7=q8W=+~iSc<+@f&llHTGp0XS zBUkE8xsGCs64^iX61Ib$10ghz5PZkYk-mUZ}~9%H;g_+_bu|p0;_nJA?ohR>x*8yn>dX9V#-752858W zK{PX=+8v(}qwA`@>#A3@Q{O*~5yP6p+IM8L4Kn8&O7fjBD?OS?h2ZvCAY3}AbYw3q zzhLZ1?Aq7MGx|Qtn?HwtPFx+PGHAVM4?+eW7L;xtueB6-pC_!wIv#3$zgu92hmf*v zqcG?XHAZb&+}K;Q#{rJXU4Po>yw^VW{Cy$v3L0ut;^RKgSBc-+>KoLwNjnF3;Zx(B z?Dk!!$c8~pG;QHc_to~RR9l?%RS?f3gChH{M2Yu4rG8BGmv82^v-8CSC!X^cJ8$Up znxbcaOm%Bw|A)28UM|}9`Xn10>jxvC5`baIvQ|%aD;%i`@ZjeybXURDsh6=y$9${B0_4#Vz%lCEYMZ2iYV%?vbrJ5k{C7y3*X&10I8OM#HB3Y}% z_7H^Tj2nGRepznUzX;JN2mDxJ9w>5|1(rUGgP*H|CyI5U?*?6^T$^?sQ@?H8UG_Yl zTssB&Z5BTbx;kJ-` zZW|D^8zdblPq%z$NX>!G4@#^wJ7gn7i$G`pd3J_13-&9(JW+GA)ar*dO&V@-PwKIB zd1pmGmU<-{`A5|x&uZ?G`^y(!ET}WAaLJi=6`xY`WNBkbV)^P*54v+2oCtf2KkMxM zbK>T)-|F>-#iQ$3Lbs_QPwgKq&77qP|ETUxn&>uV1sfvS@xcBHErn~?fFi_Zz z^0^zJ=mY|5g8IJKRPa1X&`y?1>yYzeIrgLesi(0XO)s%HF_*vtaV^$W#n`JFBXxSOo(1D8(0`Ow4CB(Lz3*Mm?O`E$@oGQv7ic!ei{P zteA5WFUA+?)1kh#B6NLl5ENQohKa=lK#-;E^w{ zf~L$|?;cKT0W)zUlfS{>enLOhY4_IIN5w6ps2TRV-P=4V}fqq;vgA zR>_1ZiG?;ih6Qb-dpl{^S-AI6bgP;&RGykAh?C2W zEafv#=<~Ww^j8zlW93pQnDkTxo`98Nm18mTmSU*kN1{1l2XXKavj;)NR#26f4!MuB z4$*yks+h!2ibngb8bidN`E;h->UK4#Qjs*HxUiDflo;icE1yWgxA?_%)D_`Yx5)^b z{|fib&lR%Jb8W~#*CemUXTd1l&ga7*d)vGC{mq7rL;mK77gQ^3W#Q_t%BZbx-hm$B zp7iNk>C>x zyw1J((>y~EuP|o2<@inE4LU1C-Vqi`D>+|okYd+O@83|gJ23hw*_-~SvgQWomqX8* z?>ebsK6P!-PjycTB^Z*M&sw8xYI}XHjVPh2+u`c=1@Z-_*c55~hNM~P>?MP-VAf%{ z8xi?^J;jFC+JefgONeq=MHv{TCi6lQUC3yt$-7&X(AY@Y>$kahq69<<$F>crN(1qO zhugkv;sW$NsEK|T8ZRyOtl4iRp$cpd)zgQRL2z(UXw4+)t;Gf&<|B3G52mLA9QccE z>!eqh(e?~K<(DNJI_V`NF&EibN|8(+t{tyh18MKRmespWa%)1%Rvy0w8L*f@oToFr zP0d=rDSb8u*Go;8(Dxi7vq*Q_XV8t25Od7bnqeFKUgdSC6Q!baAjHfN_^I-Oc@zS9 z{`Klpw58keYIeL817P4t)84djyn_he7ksU%alOJc3nR;12j330&^r2FZZs&#Pz+6? z0HmR@v$#3Fhk3P)o`%22b8J~n{{9p^8w}yr~Z0j`NkKuf>5$$;} zKf@IS{ht4RMy|97FDON8U4}YKTGpwa9&JZ|8R_{@)(|5gQN^vB+W_ z6RPJN^+C#&8NB@+u4GfQ_?SDCVmfETf32H_kr@ak{WCCBV5gV7E;CvLeTYLuB9d4! zh#&~2;=>15F#D)f2(GeVpmgMOzTZ(7M5?L7wEkvw*O&Rh!c2=uW1?gfgEW&LL?|`x ze^}r3dz(vOzZK;8?vl+eE7xm(teP2JNxMQMMbMk)b}R6-`u11CUlPZ|Y_kPsr{4l^ z6R`OlPG>~KIa%z-hz7Oq*8i_*En*QJB-bFm5O7k zswwy0a-%kFUM`%4GDKluBzNn*sFNPe+97PXJQaai^HBP?yfG>eZz=fKg-ovQ;_p1F zbt}${Rjwo~tXGmjSy&VaDT8xo@ylBmex(Jj2oqv zjl9s!eyxW;MYqG*&$R4KN5rVIbzF!Bv4n0_I&7azH8FhM{+BHP>=J}kQ<#tDKfoxihB zH^q0erCqNGy;Kf5O}b=W+qB7OV{#oGFS2kBB4pa${kCwE9CA5YV|gXu?50iI+>$ii zlpeXfAYxfzr(j3xu#dwpz$<8}kPTBoqj+#U684~Tuf_h^5v#Xt-Wr@mY3;6N)A_*# zYqgl`%1z8BP42tiAYpWLiP87>VHfD@5Xg1-OHRD!u{~YzTb#%b{=j#eU*5UHK4oCj z`byIh*POZYp?HL;ltj7iv-^H2_$8Ba*PqYxA(96N6^k7B^}Dnqvzlbts-@b$7ynK! z8bWJoejz8$;+1@!5sM0DH^;*yBpq}dXr%&Fqq)#xZ2I-RU>24Ul|hP9TWU*zJuz3g z-VZX#Sa(mVBO?`MtgU$FSR2jkFyW;P(@LhIndHUPH@}>Le7|U9Yv;w-7##5@N_HjU zqg%35XXilYO?fpzifcaf=$u1gdEW1qMj7hzzHh`o%!~HiCfAEa@%ywXL;s8Ri!glM zfJ`~zVp6B295Z^XiifH(>qGl5KkcGxIeK61xtF33@PKb+>T!k-2#0xl8zk7FgZhju z^xI8HvX+DHuOZ)F%rVQK#odrxcam z$Dd`n`VPxbA*Iytrt~VWADq26y~#>RwTq8H*>31WgmCv)++SQyS-ODLuIu8?bGwZ~ z`BGbDw$Yp<7fVm!O&*}6A8KAy%*7k}``QNia`-6@T2Ukg%S_Jti8&i`8QpMSbec<4 zpFn6KnLe<_M3bevXQ-@%lIDgG1e?ex75ttLjKs5z2xG=7N0CHL8ae6(k71|Dj0Af+ z&x=|t%=tA*m^jm z7zbTuK@W@mK&nQXtHtk)02ltg4vsUG4hxO!euLF2X0_4#gPKQdcedN@y$X;#rAG$^hkV6j$KKQ-W`sFXuURqj z0}TcLJ^s3#{aQY{Fk=sc?fou0h%oK-d=`K=bHV3AjjLt z*5jZykM*osAB}1)O)kmj4nu01(%Y)b{?I*|h5k53gZBkjW5SZ4a^_GH_x={xqb~k7 z*asl>rG^URR){C1rPnpng!>BD#4Gin46o)pd+mPpe?|I>RGFo*GU8s_yu@~HqZFOxO4K~QNq}E0+kge&uy5lx0HdsV z`lYlvZ_Rt5)`15CyFkw2l`%m~8}fR6x>FzuQ{wq~jS^CJnPlO;KJxqM+x=!Awt8%Q zBec=KV6ctE!dccn7JGzY4_3rLmrYY`iG&@OU<*%0}uhXc% zo;!~!u<7GI!I27!@PrpaVPz!9KKDoUu}xm?!l0~RcN=Y@^L9nnSh;~#Y(wYEp?5Vk zbh944#cMo4uNL>mT+LLoM4n<8C{QyL|6teH$JWTUT)isO))8B-}1d68%tiEe84YzmKI;0e| zFjOYQpW)W21|^cTDoh3!`^alpP_Srd9-Vb^q%i3o@QBVER1UOt4pM)`sBrBQz)EhsG zmq6%{U)G9{ugim1s#}xerUNJbpK)a+Y?tEiS;iR6p;tUr&(2CI{SdKhS{ZsU`<6Ey z_`;ok9u2(P$U*lTdN_UeP?FGpX1vw1{gDvU@?_Odqd)y#Y-*_YvEl}-UgEifX!(Pq zo}XUnH%k4TAzODl%r1ryz1-KtnNin4wT{=Iq6)WnYH!Tj7a8Aeszll-J<{54ymu|Z zk#(e(Z0&=O7YF^9?EkdHgw3^;7Cq#6J zU8smw3HK4;sYTY?@R&Yua@?l{=iKs#S)myVzIZ~87x1fZSL(vv`ya~&5I;blD#d{$SPvC;p_{umH>PD~>1BCdPiI;vgIQbLQ^+Od?<}V>} z%w777OyIZabGO5WiAf~EWV~fmW33Sh$7N(@Y<=FEL0#F-?*-!8IpI7MK*mJ~n9u3W zXEHihWlHn<8jy~W&*bMJPoA2*rrJrA-DlPM>Xx*7X%1S5`d+M|iBbwosbQ^JzZX`? zrtb0gt3>dAEvxBr;8sI@b{*|zB6XaT!b}@u%XUagIe%MabITP!5m$mv>VKmAhlGV%oeRxXSrc!IgEexKG5^#TY| z_HFrWBcAxQS{#WDLL|CJ;!bVuw9t=Udt)HCVZ0>EA%|#B6?6mQs1SBH_+JX;^|hs% z*E`T6AK*Tj5h5ab(yv$ng0@oMY{h@-t0R2cy7}`gzGvbtW3#*IIQYd1H+;Z@R^V4^ zM&ys95j|nV3QeA0C}#&BsN)58kVnuAvsIu`%`A*zDxgNfP|qNe=Bew3R=8U}n-#4T zh9%_nlz480P1Ynz+Pe-mjPJCV=iIazSsXW9F|0F1tNvQQjEQ4}zMx5Ifj;GzN+jXS zzpA*!t?dQ%BBMZe&AY*ogB?m4xbNpx_#)LbqYJA1%2db2#}*szb_t!6F7iI(t1YBJ zC4TU?BF;=L%44N|>IhOj7CPlfi$l<>at}du4&R%K>c_Zo#yu6*>4w%Hg z3u6i&%U1p_#Gw5aGc8NXTgtrRg_2#qy|u#5?5Dn_fOP!F}yvD+`- z%Jhk!TXIZ${W6PPwXU{s%3kqbKePe-(!WK{nj7snj~#KpYKC4JU)cpdROB59yyX4& z+v@AB+`*>#;;Q8*PJH8bku}hW&3`IBd_CVQsa6Ee*|$q=ZpDgqBYRzriGK=Kl5uM9 z1o0Xh?#9y&dv)56zV;3sUIz-kw$hqHdB4T?3l2{z)V@ZhmD*tC=L_dL_Q^+$av?{dy$`tzTRRZtf!H=P$64p;MSyO+hICyp^qAJ|7)mKAB_=#9@*FORoA&-ZQgDmKPF4~9vH+mB%`4do+&3SfslcZWkG-ei=YFVr}o(w{Kk6smA z4;YmxsI$xcIiYmW-cdq`Z)v1;+3~5mVyGe9i2cyAQ>bM>4E=-F(G7Fg?X8dSC#IlGbaO zHzL_)Yki#_hAw>iv2o}O5}5Ah)KxTiVzsw6P*zAw6Fli-<&N82J@@XOF*he!8c-@r zbMo0r9W=kF3^h?+9N0)Mc177sFPyv!lgI6Tpx*SZRUSPe2Hao;xbz5gY_P-|lx3R! zWwZ+h?2JBlaJrQ4^6ELPvl8adb@UY;{bq9CDknZg4G8?kU~*wk`#G$`&B@aNHO(7c zO|o*k^zSM#a0P1{V%)`T7Tc_qK^@EVUKKYifry?dL@np<4@K56rY_Unl8oI?ONEHr z#;{gs#Ma$KdD8oB#@G9IX8q|4=?>o?98LzOMN~?94|1oWzOO~7K|^aTgmWy zxo{hZ!n;%U`69&Vz1w!Y{k0Lg3RTa-(8xd0ao<*0YG>tLUu4YX!;aa}An835aGYgT z>}$nH?&kMhtnxS=crDIfJufb%6N8632q-*G?UFlO3Pc2ayD1nwHCxEDdf2-{zffg4Wp-j zcyX1_Y$-Zp52oz;cGI4LiBGIwDk1U~-NTWOcQt*r_5`x@YmS`z>3 zvmXsp%}oNY8J>!2_q|XU3wEw5+ofH(?PrTt@=Y|=cqVz@BSqX&ik^j5O0b&E2PMe! zz+HCaHaMu&u0zbLP>D%O%iHPN@();h&(QV5JYmdm1Pt{WJk|_&SOrvqh=M-2z-M{O zu)&rk1j{cE{Wk(0Vvm$-)qyOzWuS^cS}fSf3;9aU5qvy9Q^I4wL)Hz`Sk9Vj0ydkp zaiTPE#}isCUB`+;bA497nj4TkZ(CsThJe#?9*+fpp>_^^&4>&bGiT8#nQ3m zYc{7>s@iq~g(d1XJ%tCaM!5a9Q2aQRceNS zsfF|qmy>gTq-Tn0T4bD;x461V&|l5xHV;%25kc9w=!wI`vHQ%o?vz{kjyn#ETIH$I z!52WgHV4xd{>pOgFJXAJ3}8B2JqkB&((P9RFQ-V{>`8ybEkAXRpqguF96l=(xUiZ$ z{;BiFSc?dvqz@l0RDE|dmbWn_GG+ZqWg^+wL+bNveuX3_xXw%5_^idprr%H||0_mv z%YZes_)gOB4Bpzz%N_nNLG9|{#BQphH5z*Y^=x%@7g5*L^KSnB?sIbhQQ--L;#}cZ zYCvZw8^o!^&z@Kl1{$IRBC53xdIxTX4Z4sYUQ&9H`V@4p=cK0GSjzgg)RHBadts_L z8<)ClSn_>qochFXUvC+-X!hrIGujxuH4_5hqATM8ZHVwy12Y>G51&3hrTL;0i|&EN zV|}qBTBhzUv1CL`kf!Onw`&`PZ(->YaRNmk&UleQ1nc{NFhnC2N7nn(5f8yy9#dj^ zG)d7#(3G^wM;znh68*^L6E{2+7oVZ`#3-UNQYzcytF3Fs!;rizw`Yx@mq6~sA@M6a zm0KapOuw<@lB^vY5d5XoEQ`o=qrMiI@~gx@XB$b=m5xR{lczM??|EcYr7E!7<1!4) zsZvramVfv-t1Zi9kJ!rdH^38qf43V3M%UP7UVp!Rm_cosdR%{e%vsKF9xX0mzlA<> zce5JgW=)i)1%T7+?AjK;`}IkZoDbY^i%P_CV6hAajH$sj%<_tw>|Y6~dtTH4BxeBZ=GOrl4RS>m@=fgqT2omF7(C|YSO z=$!i12$fN9ig`GMBxuClSWhH0v;27TM-Rvtj{D=Rlyl#=!6JA;Jo_6c?z|XF;%uvj z9z|LTIfN15VXFBFEgoJfjeGh|SHEi!$YZiZf#RBS@5AHY9AMDty+EFuB=~4o^hA>Q zOO|FGN2_{dz$#On92FA!;#yuAMVT99rUEmV)G5EL zj@1wpcu!X2gd&J?RrM+{Bk8^nGnh)e$3jpV%91jtl+EfNPRXq;v^?hpTTA=39=PZm zo#KE0uKKLG-qf{P`R-b>>qLm6V+*z_P1Kbt$~7GNh&SQ&E*D=G*>D||2O=S?S$QQE z=EkuTXr#K>Bo>(Jumd0*N)F6LKe+W=lN{Uzjg`D62n9&kYO0F?28A(qz0<~VD1zz; z@=V1i9scIye`h<*)4{Z@rX~eItW%4r?XI7FiB-Sv1XcWgyC(EuRjB;r6bu!PM^EhX z-t%yes_^BkrK(w=D>{uc`qfd{I^ivUI1(vdF98!!CFnJ`GdPIXBij#hw)8}yS$^;r zOG!1A_l|#=!IL%ARZJ~x;_+|9r1bk@&N^i*#lWrpp`yPhchB)lJAlvB8PAg0bEc7` z|Cy|o;ukA&-&qWf1A{$Sm9iGeV|**U9b9{XvU6`uc`4zO{kDWNQ^cGrvquOP2B zKKY@e23r*V=to@MT7U_U&Hi(9=xnq*t(hXxdTgoS+N9q0 z9pQn*ikcShK6z|8QzKMS?*6ZshpdducVPCDCRz$cAY%f;y71fw1D_Se;Q5QTfS79? z0=OF6Nu_K?_f}K)`{CHeR3Q6pQAhjlekRZORb3p0g?rv=_v@r`Rzv^{xnAr`6~)WI z%)2(_Y4T|=J`yE>asrgoLsK*y<^Fp@#Qz;Qv8Ik1r+=!B)z1s87pB=;znGAGH&{zY z4UJ^)9s`p0IPhlb$YLthUdiHKR z+!|Q8Cj}Ok5`8K4)cD{jM2!VBlm=KpMGwXz>Ma-S5y5n zdwU>db@*vgAfYHv=)>e8>QPl5ToXZw9#JWnq)6r*lXa6-yAWNOG>W}lT@1P{w2`f1 z3#g$#S*IGsyO#>gBWH{laVlmgmIgc(DgYv#q|k(Q*iLi1MjE|qQK73{SX!Dt(}evv zT6)#fK9d7{oy9%Z6rO6Q#D6^UqSrjf!g^E6rHHh*Ex>`EQ_En*d#$B_KEt)<>4OQeI6x1~=X9 zkkH?j@hRs+*ZHpPv64~45!ZvxktZqUJd)R(P-6Vq{J@7&=IR9-b~uKZVJH{C+sDat9QPMAxGL#qn?;oxx%A*%NK z4mSKj3)cdoAhGLpQjAy8!U#MWR~~j3N&IOD23!S`8$nf3eeF%2iJMtw2q$WJ_o{MB z0HPv;F&LRYFE$4kn<=DaN+UTDTrpz9$uuS2pRg95FfV-cW%YEOLzhcz&qp|i$ZYtU zD2PJ)kyAAWLDwUL?^)%2x3@vcup+|&n-x_H$oM`Y{rXy$`}w*;AlMR;v+?`3cNcLf zycg;1?khrn3k13zAKSO_eU=?-NRz(blyj>Mlzp2sZ0=m=#ynH#b@PT^Rjaws5!2>} z)YWj*Q@N-%n3DYO01f|D-C)Y%Hc<9=$?@TCed~BwEd8hM9NY^1iy(jerjsc)yKGEF z+Y<9d@COWWEM^6kUv5w7*2DVZernWb zG4QAB7imwIfh9ChI_{>6{Ey;ON=%iLtMBFdESU%y7;myU_p=K7`GH0djHTu} zWS(#=wo6V67*o&#dQ81kTdO&yCS@p@l~KEvjk0On>Qzv!b2=Dg`|L(dN)JTBxyN~o zjaqAI8{Yb>46hrlA#Gnv(5Jkr5G$9Mvn^YHNZV&-X1+<2I=1=nyYN^sD8oR)7r*#{*zk*; zykLP4xWl&4d){KH$St<;7c{*rEBpdI+1(zw6#dq`rU0I;a^y4SFMhg4pi~6zg6E;j z?hC*x?-e+RjXfD3OYJ|w*RHjn$Q_g+EYd)X8xF=w z#>!_F1QPs3OIKSwh=Ed0aPu_%H{ShLo8K=Oju7vlr}r4r{nX)m)nQ8XX|AInZdZSJ zS)BN-UxtkQfEs@Z_U)2(LxC;}6FHiq6Op_%kAcactd&#m=e&L7z1ROCnm=ye@Ee*bfGJaBu4qUYwXsUxx0#PVal_^c<8A4)`nNN5k@`FoenYPQB znS>{Ncn%(OCo=T+OnWB_FA>#bN-X6YV*b38in37`Ok0awKYIYsi{%U3yvoO?OU7no zKfN_Gg)W~&s%evj(#HQWM~$*m5b{n^>+*y6VaX^p3Yaj_+%5XRAK6IANQ()Ze@yg% z)M~m8Ed)pYnRIR0j)U;%_4KjP2415R->;|_ zM)Kqs&XtRwe>|n}!0h^% zVx7uQOv==m<2gB)LWcFcSjQ6mIV>oFyQik7X5vtD;&bt)On;d4JoqVi;aNGp^M)sI zC=id9NBNb>VH(E9o5T5^ykWHAmp@^RHr^-tlqN3U+~MXWB^x7xZ=n13^boK7-6?tW1vk_(vi%?)0s}WM&ZS zK`)j&uKLbUr2UB+zej^)@aB0OwUUyed9jRHxM}E{19!2w74)cqtO2VYiP(9i?K%Wt zGoq9wH}EksV^1cJmuu3u$nHF$z}?gr{mqHPmyP_>M?B^D!sM@xREhmA&iC8rOPrEX z4+F<3RKywg0~-?kJ4?0Bm=85Tg{~psmGM7BMRlDwbo6LRTpyO2(r42`MJa=kq(+CZ z*72rrJ*rmFJEWbB1z{zxkI7N8`w%WzS zx_Gs(0c5>@o~Hs^&2_O&%u1(V$%}@b?nkLWPNPZKaVB`nLM3=u6NSwJvJX$NKOA_g zpYWmvI2lZSHaD?aQ#js)gV8FW9c7*eT{%pQfqkrrf8S$dtFg(cq3$msPq0}uZed8n zUhsNHL#CHR^q=N^PL;ltyF2IdKqg6(!?Z=$jNaP!(PwNRU|8OxO_!cC2q9wO#OM9y zUhPJ1)HG}mA)v#!^0)W3zLz9xbAd`%75x)6KuU5XqTmiK^?rh*5kdghA#CC$E@uBS ze-I3BkRl!>6)4L);XjcyCPg4Km!t@@V-!B^jPoC@CBWv=-vy%ME0yZ<#C1&~R*t$s zMh}F~eqYLE7j4K|pMG`UmQV#>^S`sAz98PmlTYV|##cMtCIf&A$G9xZzQcz|C%p8enShIXrT zs~43P$;@=*?Gdj`{yQPmFAIB%l<&oeF4udbKn=&$`x!R)bjNz>qST_1$_3ClmL^t2 zGxq#tAM6^kaw@ph6(mt|VaAM%9~P*+DdNJI1T!Bp9MW!$sje`9=FsChh=q~A7aSH^ zmMVNSgLnoQip@HT2o8Bo7Yshw=q(rZccY@Wjf%wFPf+9BNZ`Xubr11S|mPVA4f3w<4t6f4)FNgw6G zKiVwqgtEw7ZLAVVUba%I`X?CXg)PWaB#AXkmn&;PkL5I4tBzjox7E6u?jPQp^e zV}RFU!^_K(CJEjpXBS-Vy+A^4Hw_>R8lld?0I1k#1j=;zhMAd8o`NOCEyR|)q zE{wYq_KroeWW$#lJX6|VL)Q4*o0?ua4wqcHKK@Tf8-1GXXrsuqKCNLV5bQx(w3~5e z-D=_0p`MvzYD2l3eDk}0|7Za>g|b34#iKgj$HnGn{o?GZZN>an12|Gq02+sCM#o>e z(e)T$SsPT(;$)UzWtHj|8`Ve+={ftMF>ij74yTpR?`2Gj|EF1#RayW~7*rkl)LTdH z?J8)5hjE?A!P;1|#_tEcz}rHPr7~&Bt&+{(H{EN$WE1$3iT2PhmD)$u7ESX+2WBI9 z2ta=@{i6wNdTyGn3hNjh)BA%QjAdz1ooXpY{KJXZk)%tf< zfs+K}XRsI{W8cn|ir8Z=w)hz+O|}D|wzHj3~6>9MR#7jj;zql2l80)@q)OA$5+x1zy@0@;|9q z6SJUOf;vr?2mrBUdsurdQcZQEfNmh6b_saM>E!sBc-Zu>g-LA{Onq1x6@mmYeKo@a z=_eZSrhg+#Hdty4x1C!kP4e%}j}J-x?LN~NH`UdgeBW2t)=zwn`&@5F+tx8;673s- zg}2YP4h9!J1NKL+qTX^Mvb?^NO{##|%I~gwR79Ej=oqsdV`nZ6y@y;bOHBeIJxE7MrCz z3b+TWLc@uq@7z1G^~8xu3~r= zl$@W5&d(x~SVwVQr>*5J8e7&AHRdJ+sWI)Jdsdbj_5mc&e{~3KLAbV5+&&(u^q^K| zGqYpTUTRGt9hr;b$So&q)gT>-#wUKt~EQ zAHtI!W@M7mTGsBn9}_BPXS0-BD)=6rIdCW`2amavyRP1p>u2JgOvXCG@po3_EA24T z5`JgRZRvAXuWc>F2AXi?+sLuXM_VjSHe9x`!4qCv0c*~rxS>}U-k8d&KmDiuL5Xu* zW-N`A$ce)$({no)4#-tCND1_?wan|Vt zZ+O}L@0_fKGX@VcfB^Y`gfH*#=U!$EZB))mgGb8Iwm2e@0KJ^N44r z-vGBSn9#X;Rm^TR3^U))wfbl*79L3AGijly&t7<8l9$mWbjGU487NJeuVgi6Jy$K|ypEte9}_T|!ZVqk_H zj78c5AcuCJ;v%XmX9RC`so#noM=DVybhnD@30>R0x9Wl( z66;5k=rcb082y(DyxcWodn~dls#Aq7v&90Wh-r6Z$&mcPFG0gTf{trj#j16pd{k54 z-2-$BR`Zx&Bq}SUu0!a#x|( zp()5w`(bteo5EdLQhwzLUm{X?(6Kj78(zdY^cTR@v6OV!u4_uztxZ4CY^2Mxr?q@< z4s250&Uec><(rU$*dKFsc{n3WVm2+hwQSR78afGY>wsd+h3+$Z#io8Xh4RE12wSjJ zbL@MrJxy2poTfr-)@iy=>Kd2YNv~Z7|7qo-@ZHk#r+W)$-vSHMx=Z`Q=e+Tywvy`M zva`atIMFy2Dc!9o?;MN+X6ANo{F+-9t)XWSnpwB-ck|G(nIBENrap@$b$|P4+IW<+ ze5$vnGf48R#+5#W^lmlf@kE-3`HjYQ_$sizW-3w`?}^#nMtT|k#^%lFVfA`|KVmC% zT`ry(y3x6s4wX32{@doat91Tf5B4PI%w$SM%PS^~`KirLie00kHPL0^B=!jDW`R-` ze~Bn+vZQkdQiO}RNi7Cwj{<&yy^Vg_Xr$gv4rw}{ZhboXs;wtx-`&RjZl$4eZmcoI zNAkZPi)`{x9y571yO^8YGt0XK=hLI{X>tGq&WReLOx93o+PJqy#~2aa+Vv!?DC{C; zlbn7v1TVktiQ}bdzDS&RY1+F0s_MUS?P&V+tZ6zk;NL81ZQ zuM|j=g_V#p6!n}YZ{4}IvG>B4qaTI+b5}z&q2VoJ_PRi88;LL!I|^kHdhSBr!8szXLbh0c7Vq9Z-**eDzFybzw7; zHa>453-|F3a=|1SCqBzhmMdG|SXw^Lgo0NKp;hek>qsIrE|NuiR(R8R@3`Lo4g0bG zzG20sVri)J33^SCveR@O2_3yv_B)<|1c^cGuTGR;&JrG9cMj~Af*?YRGjSZWUozPK z2k;H|KW~g_y+@XQh-eB4^D$|Ac1%A7)Q(*;p$w)lE}aLPf4W1!9r@YgY|c3>`>qcz zYM8*IQt8Nf%x57v)X;3&HX5@by2Reich@I%$$WX4bALG!QX}qvfk%e|(r^3Lj*+iI z@K_2`H40l!Ck=1rM{X$t&PMKLXeR9ftX!yB0H$Z!;M2PICy#Vl{NI)($lh|~(I+AQ zWcflCC_Z;53dV`2b(aq_5{@a;JpfqV_N@y}JkVS&8Y@pFUm*pb_R{%?v85ro9I1U+ z_PnV0Uy(I)0dBhC)cuFn%*;vhi+J2>1A8ZKY5kT#4Am|| zLpXfwuV<^rQUzD$rsEMV3FFU>u-?tIkc0@zXAW$Vrez%b^sui@{kHJ*^ty;4E&o z%>c<_)J;_d)vFI|Qrj)ke{r)tvWS*;nrwK7(ul5PlqncMC=`#1>-myJ(EdEw0{X7g z*-_(_O8(L&cwqSOk3X+DOuXastkzHkXsYInKniZoq;2An@%RqJrGaJIGiLp}Sx!pd z+wxTAjM(!W2LNTxom=-gbt_sYTi5P>_fv)1?hUJok{&QTzBx?%z@u4iP^|{|_Cy2ySoyWMq@iFe@0}vdP~=R_I_9d7K_&N)b&|ST zs|nHP1siv7-n~o-`qBJxBvBoMz%`jeHB)nOqxVG2EfIx?OAZC8p!*U%wim^ihD*JU zRR0K{lwSRV;79kz3`|x|kR`k4zzY-p6>gbeZ=|%=eDK&v$ppcL_nPguFufv{>;drF zIa8|p>;TYlI|R#EFl6Cg@`6{rs)wvHgPlq;4|n zpsfd?;^D_}OgiLYv>;j!Z5-eXl}|a+K6^h5-ksvA#>o&&!CEV4v}1@{%a(SbVl-ui zFRVbJKV0izQ~&dLB#oba%veHCA(f!KWnJ@Yq)^3It-i(t>?Y?^;Po@Hw?_a{3+EuJ{UYjS zh5K%Wx$W#>hWWAmw*LMsS$oo%0Bn<4;O3tF46zc1J{u`1pK5#&(Cgdx0S?hsq+PtH%7 zp8n>h5cP-T{PnU^bpcPFt(D+@y z?YX;4yjuA?64fD9_UryGF`Xvh{B2LUSS+o_*U~zP4#l8HLAEj=EDL z7=UNQ-`a8PG{!>=Y{T~28%l+uF`?RcC{|{R`H2J{d*@*ETMm4)y^1Lw?faQWovN9T z6@JVLf@Eyb_x7NDzq(OD^b}US=YhDG;{k6`r|yt6KclOO%1e;X_F^`dF`;^k6KJX) z5@tzVgo;?n@a(OH@0%&K-^}L3%rUxtZ07B5IzU+b5LLX8bFP_bvhMtTviS@BwP!Ea zycd=gC~|`BI>uzia30f9;@Lh^bt3ZpXYd*ljp-CtTa@P#kUoKv&7oi(et|LUXB1B3 z^;}#iptaO2t4=RSIk#$Y;xwX?L<_jVes^2wRkwo;o+gI8V-iC z2X~)aA297eFj8v4(^U^Lt0~me3d%!irBxL=po|KEPZ4Z~fFH|EUJGV^5g(pHTLAo{ z1|6=64yMsM7-^-yXNMX7_&k;{E)<`@U`=cHpnupDyZnknPO3V z9m@nq)>__aHVHKg`p|^ha8Q-~Lk}-yg8oLAe)ba}Bv3sI(WG zSC@s7wRr}dWjZIwD)-%Sv>z}vD}NUo05F;Wcl>G>ds0^~yaAVbSPXwL*iBF zSIbq*F>n+ZhVgLOBWL{DThld39pJotI9f{Y8ohozba(2jT=EV31Sclv)J!IhpJ8$! z{H7}v5^Un>pBxe()+(j@1%A`~uK__PpHEJyz8@Z~ulV?zT2L~~%Q9_tt46@!o$!dT zap8}K2z*k^b3FRz3OF13Z!6mA(Z0-HM2TOH8_;k$7oq<1;dTQ<|HU1! zOQ%8<4Z)4+|41>4$jG<)ZJ#=({RthUK4wtKTrL075}QO~p1qesbwW%hBan>VnYus& ze8)baATDik)U&TG56Cg&mAf2XFjU-}a-X_?WD2<3<>x?)J26R|n9 zd+n_mgQEb%-4vIEK!kih&8`7hEa4k+W&4O3+wOR!_krh+5%i5D?!h+D!b;UL#<|IY z(LZGGWR*fO9(O1f8@&-5DXvOt{B@}`@e~+to&*vgDdyMr%{ue)sRFa}%` z5z)vj%~Zdc6HRxLR#w)x)I)G{D9+M(AgM4_NzQy4>LG!X(Z>r9M?~o8$j}zh;_=83 zSeSu8*QmXYMX6P_6r$rXFaVlF@d zjxZ!*l%)KAcXhhV*3NGvvF6h%R5cnOanmgdVc^~%V?~i+=D(6ptJ1YxD@8IlD81M;28bzM?uqbCU)%x!v(P6YiaA0OtqbpYU(V@z~Jh+fZ5~Jm(Wb`DZsfH-+XIS{L>&?`4_%LDcw?{;f#HzQ~f&6grIb_}mNGqqQkoMOP^z6mAi#MhE{z?>M zVt%L~bEpNJNUG4 zE?bSgG>R-sM)tEtSr61HHAOckdV^c*ZVzZ^EgYFnQ}0G(cVdO+a=2ooXyA37xu7ol zCKgCaNdYpmTaza-XLfK%zts+<8{UP2Hszk!bT#^kULuHR7O{b8% zl%S~sQkUV71SRmrAAFBprDOt&#S0oVbPnF`ur>^O~p4j&B8TeW9 zd64Mm{FCfAnm8+p+8=5ryjrZb;|zW(z6FFEmNY)8=t=ir+31(4UL;JKBL<=r;JSqn zr#ogeVQ1o68Z4QM>e8XSeSOPbFrFDKjZKaJlKq8mcr5Dc(wyx? zmP%w@Sa&ohe?+c+Hohaqp3*mBPGgIu~gihg9M~SVU~-s{j4~fbUV9V{?OxWkRwJzDRpU~ zeFoEI?*7}Ror~I_tL9+<1Fq_^71uMtFI4B^)&*^}lTz=u5%=7`z`uj}4+sjp{+N;j zx4@@IEwNHKI?Eb4Z@&|WArVOEWgvgo2K}39sQs)WRkY|W1wVA zjuE^hgT~RJ_(!{oxz`h0d^N-7DZx&}>vQcKowLlrGt)`WYU%@de>WboLI9r_Y?qTpyiDH_-TYA=idC*1y5=-C6` zA2OpO1z2#0A}ra`fY^aT6=kxl(=u{Pz`}$qTFdem-!bb_jUAN&Q$ZVEymH!@q2hwi ziQc2s6cL32|CG9VOHrRpRY+lSJb@V7G=B6-h$V;{q5qCfQ^}RzI4^p{Cri6&VZdOW z)`r2e08gn_qUy&#;3a;sr^cVo<$>-n_gb9SfR9rkJKQaB5j`@FXuW8Fu5$higYJ-T z!A%lvGE4rX$dH$q1fun8laYtq!HgG*-S>=!3Dtldh?mgv@2(y%53uO8-zYG4pyL&)s9*|1k&sp_oc&l|DVW9`AbrnZe5JhOsw{VLMJ^L6s2C2``UpQ< z*9Tk*bx zb7#P@KN(KiT-R%ctavOS@|S3St~t|d{Q*KDvO@j+h0=?kwrf4|)kCqlY_F(pRt4N$-6he{q0LJssikhv6=?3KTh3e#iL1S z<`Xz4f-!-~tSEyKa5mP^@A__spRha%=3~ z5GF5eH%+dh{5DWaY7vVxe%d3B;ce6a7H*CS&<}h3eeN;k_E*gLm7bbgwZoSe=9px+ zE%?o;e@;z4loMx@^%xTaom1hoFo|GaLeL5ZAq&MtvPV`A@W7%`vUe%d7HfngeB*J? zQb*|{t@IP&o^=#co$@(S%dP#WL2w< z+78hCQi1sy?lhe(#O&g6Sp{btZ~S7YmcP4^c0EoR>I8k!Qdw+ij$;H}XlV9aA1D;f zQ)ENz(%#+E65p@(%9biZ4;ES@)otv=#IAf4H6|q{9UE$Ls)YJnvgMlIMw|zFWHber zp6bzr(=7#mrB+^WCD4Mr<6#%hq?qN3ABC0^&TtUEmtg1br)Ry2ouWF9c*!0*)<rpNhl4Ov~tM%=lDa>7|lg_**)4O!EBSZu0nnZDS^3Z3cpN01^ zBwfzGS~?A(>c5Bg`t0mcS}+C?T@=+?X4^+=xr01uB`Aw|G>2kFU2*?m2lJo$r@e7< zqz1~L;{Qpud-;9&eFgdGQPi;ip1wI_am*1NPLy}wY5^gOCa?%B2xOVgfX+*#9<0GT zu6xbDiI{lN7&1PKkTIHGBeSfQRKwL_d)4sqcY+$L?~b06SpQEmM>8_<;8SebD{@E1 z0^ShXRNYH?AwQ?zWFJd59luW8t&n5WEu2T$RUiAf&ccRc2S+`DGp;Ag=P^F;x>!jn zhh}HQabM0>MtAZYsJ5S|-dqRV?`x?X8n&MrlG4Ng!SDVu2jLZP?#11*ebt7Lx-Go# z3b=N@{~U10eTN!w1G2zqhh@cQ8X`c9v|RIz<@o@H;3)V9F$$R(C>{LYfIaxyQeg;pmEi`_xoFSQ0Hgi*BXB%lfn{pGb1yL|nM| z;%WgELRXWNqt&rgMecoCbb|yhs*&W9moB&$+QID{lcEcb0j9E$*{%0zKYD3QA{8Y+~+8<{>t;L0HS0o z=9%#1aT);`6R!c&yKr1eH7psmW8HY5ExvB?aaMq#j-*gAX9TX-DMltK>#aw!p!`xQ zo*#9OQMVa`Fd8;s_&nE=F^9`xbl06u(;4%#ejR*qtJi`rIJz9y&qI#TWHOr*0Sf}c zYQ#}5JYxV(2~p9|rIL}O&eDU0E?X{)JuPCl3djaAOb!Y0Ht9`n;7tr%utMgN9~?2x z+poRux!Uh`+CON$^tm{ob8fqQ{^0$Wn*g{5Lk2NeIkZ)F**pUE@tCLWdfBRlr@wyhB|?+~I?R5P|e( zA;Uy>USdXy7a=m+UFMZ25F$SE)vDzJn{Ja9fr0id}rL zXF9-#g<3;w>ppk)5Ty!I$QsJrl-71w9azqM;L_UnU+b%0H{3VbosQ4P@Lx}j18yFu z6APd6f^Sl!r2>5@W7nEvhQpI_*j@1f-MD)SbKwgbi8+YZUXaT^I=b8*m6~T$`_AwY zVE7E)0$wbaf>JWS{4@Ooc zbgiddg|JPAmF>vt+WmMjdGJ3Xbb+>hSJH=(}MU(9Xnv}Dj0lWz@&M+>e1sX z_7w#n6DPrlt?B}@0Gn`N^RYu$4G*k~QhIXCCOeRiVLFwf{N^IUiv)sT6B^A-U)OWqf&dma;(bMc{oD(jeNqbISOp-j~Vey=gH;@NLthH6Ky3H^ zeQ9~`tf0Sf5?rv;^RFX9+0&WpsKF@>2mbO=U3xC)3+czT6S`+`Ze`d^qKMD}Mu4 zoo}9gSSI}txa&C}brW_UcMmeuvG!ZfsoSqg+WSo}*#p)U-(A&T;L9k#go4m{-W*E@ z!!TYuwN2}bs)(=Zwgt3z2z8?$j+2HL}@d2LwxLs zGJSNTDztJfl|QxkjGr)!HV%_wx+ZatYF!D;lr+@y$2dcf?AM0k_?Dyr^HDkB=mQw&7?v0IQNi30TPp)0OmeMh-qzvmr;4By32f z=$<({ZpJAm{O@F!Kb-8tGiorkd5DI{cdEG6A6~dUB9yN=_R(hT3+{}ZP}f`#`5AZf zqeMoV70n;DuA6fE&1VN7W@zt`deG9iit>bY!M6X0RL1Ij_ zn*DDj7DakZ4P;&bhij9h+mysG+i-$CF^f%ODY6Hj#{sYUBq;x@rv*mIIf$?xRavo= zCJ&_@KYzTB47MgD*nA51(Xf|*=Fa3;mCk__7mG-<)?Hg))o^9b`wL;zt`EmU@=baK z)Y%TpjI4#sp|DWfHw$wD~S8~B#1i?J}woM;6mx2 ze^oDv+N}YyUeZ969Syz5j-F7baICEnwlHaLwVdcwD+4W$fvfPqOvZYqBbttfW;i%= zFe3T#G!577#Tq+^*Sk5fbS^7fWxC!mqF-ikOQ_*hM~%?HW*LZupX~5Yh$ruxfl+mn zgXB>W{aWDOVoAQp-7|W_ZFW#;NBL%uqDVy@0|f7e)ljoCE^Rp+{f?E62GM?5ry*o6 zIQfybZy;kzu+jKoG!m;%N%4O?zh;X8!U0${5`R`Yp@rbJ_yr7u2}Y-lGLti3#52ZY zHr1(IkBhict9+HfhG5leT}~8*C)<;Rzm5m^`(PeK3iRgNuHlb22tx^!~aRg}NA*1K4-q0?~j0upiQ}A(ey)JJH?aT(%IY#9QZ)JETehU8~A)4lXHK66< z9FPh3AyVhSDAIi&aL|E%v$uc8C4+HxetsEhdV!h*;UK~Ku&(N@r2gpR-hQr<_UbV#oqvUIt-pY;(B1Xo7cb-bMe z?oCgffNkcze{gHik@2u%1A_G zqEbr;WU#SCs_|!7cdhzn{!J7m7(XUt8ibK|JDWZ zJof%j(JnRO!=Or~g^<#&PYL#U$LpN!mB9IYBdAwEH2yG6S>^0_xac~J5V$e&7SFoK z0Gzojj2A?(~T7{!TE zWB*BJF4FJ=1Xoi~PO#RPZ0!TO=OwQN94*hlx z496x54i%&LiZ&f-V}h`DkmJKov%m2qrTw}J|FN1?h!x*z*Z&lx%f%Hv`d0hHRv{`g z+(S}7=Lru%>A8EEA_fRs2N50b@PGK~81}2><%4i0`2_={gQZIP2}ex%WCC0@ELoTM z$pR;&qHzQX{Ob;<<9;9C69kn%eyLjn?LmhH+*;=We!R6Y1f?Yb?`%I)=+$BM>fOu! zI=4lB&Zi}gu}4Acb%piWe7b5_olWYV!yxC*sPMEZK}hl73ItWRUuLvN-~~PO$S2Gs zSdZ>c+wZ2L0`5;V?*&xex1NA%Ki(jeRmqNU%#0j6n~cLj9mxpUBYS022-(gN+2r73XYV8#CnAoH zbU4U3A@kVtclZ5WSJ%~b)bYnT@Avz@@8|RRdOR-^$iIG`iv18xeB__u!UQP1t1rhw z@*e*^^pd%J>iNI9zUs?1WK7sgABV8-pRv8JcP^ZKaa|^8ahl=(ms=ZV`A2A-FW!*G zAAG+a-ZA>+yK!R-EKA)Tc6e&v$f7l+CvlFNU^@0yQBnsRJBqt#Xslxm@cK$t ztr{L&GSFu=rz{eIecEFbMAAHcSOEG`_*&5Kl2iyndwix@M76AJQ1FAHQMv-=;JQgU zx2YM-yz8FJT}yQ?jHNu{y7m4hS2adzsMO(vP2mw)lbcz5)${D}+1KxdZmCmJS1o#W zK>*}tRn4mLHej>04P$r9+Mgr%@M(RT(WCDdK|U^*==x*y*shx!-8b9sqqAq)b75qd zwE^*W1bT%@_FV?OA>~F1i&KnUA+%+{N~C&OA~uebr`&}V)9E#L+Q z*8RN~^hP}H)H(g{Tbl(!n3O{~B()#Y#xruui_Nq#PeJB^pmT8i?D+^G|BH5d@nPtn z4Ql^7OboL`eO+C7TU*eb<41Hi^2wZ3>1UG)US9dH6HPN&AU&pbm&)8pb*+U<#i^8r z3G(Tds;8;~Rn!GlC;A|f+V;sG7SnHiG^1kLGqWdihYuKuZ7~`P^b?)j+&oij6n2_X z$Ha+m)fV+W>oOgi z#-P-xRJGOPl5v7a(+N7V*btNe6=&E6S}yKZq=IagRmiL>*3e<4mHVe2F;{@39Jo#P za^`Gp=Iq!0+5Y)yco)#tj`Gh+pBvG27$ivyj@bVlSCjq!;F6_O4TU zpANjq{(!eDGTnRykHW+yK8vk8XZFVB$ydOiuJPx-JpdKdSw8KdH1wg^gA zJgUP!R;ZD>J57;@KVp50Jl*`TXnIuGU!!j(GxmF{q&)w(%sg)SN{+t>o#Qv{5e_GR z=5mSxRUJizOZIwKZzy+P{)ZgM%2A0VB z!C%-nqCwM1uQ6Lw;+$vR5bvP*bz3A)+0}0yI?)yTw7QoBF&-92A9<3X=UlIQ za22P_j)1J;d2{HAaJ}T*!&{gd-3nFF()#h-emUd`>#Tw+V99PVy#9S=jp-KVgq)JS zFe&mDK{j=6xjyZ0YZ4GVSiq!<>9Y;5<^eLlu>srJ-+CV<`Lbq-J3Mn2f3c(JBz`)Iu4u8kbAbvHh zg-!v&Uh9*zNTuLvDWFA!d3xwf7e_ytN2vZed$g^Wz)edWwY6CB9f895cmco;&Cpyv zx10OZZ`_aOQ;1Ud`YO&W?0i4`e0$~`6TY1vvgSCkI*~7VGI4(Nj0EDq%E4=0jw8DP zZO;$8&UT_uM%hALtzWV}VK#TmzfW~)1T7{T$ka%#^I2&U@QI1-RDY$Wx{}h6AcJ;@ z`<^A~UDm*DGEy%6xb?Rca)$LL^Us=*<~Pjqx?1fsj3xHlPI5DQ8B|S<`Hw;D5L|vG zi@R;D8ysml6VYzA@ARPFBI2UJ>-$OH+AdHt@of#6eo*=K9-m*RMuxkJEj-r+5DtH2 z&am}+quTIYWqf}Wgk{#OECZ#U@LaoKJO3iEuJW1llxVgnOSF+jG+h}=G0M08@0&D@ z=sR_-eP5oX3w|{p#d|arFhK;P{<5Oz-8{OCY>1au5mQEhZp5OCWu=6v&DlioL~CPN z(b`_dyc1;-AC`p!OUitqcYT%U)zPaWYTDkRog;6d##8db%W&x1Yg~6EVB)AW_3ahu z+GqLu9r2R6o#XCZn_8yux*F%^t^sDMtTw5WNg@$Or(k$MFCd{|AT&-i^S-C2nY}Tc zTLRFJPLyFL3~)KV{0`i^EE${|W#Ns#bpzG%34n?p2SQjp0@DoRgTyv&}Yrr>zq> zsi!Y;Mca6=Ze54IPyO<)ZNwO#=ls@i0f`I9%V~5XU*&Vo)#V-40sNa{QU>b6aItd) zoL}ASX>cXo!JUVEidw|W1dS+o-}K{O;{AzKZqce`C%q(fpKa82T(35UANYT6E;{9Ic79~T;9 z4$iEy;(ozgl$=j%SO=E_wWj64!?8aeNw=+DpBm*!dzb7YN{cPQpvX+8b&fWx?;?$*gprO z@2$-26fFEteE*EKU2WCBZIrJ>7@K@awykCxl%Y8A9Lvm8>BR0fM`ti3!|gQn(@h+8d<_WjkMk;X3V7N!1wNC! z=GV34$0hY4Cr;`fCwFLyYDHnWlAXt9%}4Pe8Dx6XtY;g~a<&5|0rigFIY`Un_T(KF zXs#2ec8#g`IHUdw#SrYMU{D@%&!1MOl1@Q-P2%RzU_^0&FvKqd zts9Zt(CyPCUFi}m2N)DdJ*KLrPAdd%*M%u98_FF~di4Tfs15vX7N^29`b(>0T~(x( z3mH1LO1G+u;Ti^gf6gKZfw5)R6ry4&IN0?Byt~_)deS2MgYw%ZH12n; z;zsFMcbM|G5L7}U%eD`6yBh}X5p3bwH(b>|xX~z|OG?4CGp}BC1N^&s5esDX@@;#L z0jS1=d>X<|2Pz^p=ofPb_DSIFp3AfqyNd_cGA;pC9G z#5rGZN~^(<>43TU#}!Lsah}Bis$l5WhYvp2IGgn|88ovGd*c$puD|vdYaQJC!vGaq zPiN2bdp8-uEq6fDV(YkeK>r_`E+4O3{{0amie3A7*k~H%+}l$G2(jgb*Ncc9>yr)X zi?{-i=VF0?vtb;(uJW?M#BGg|cLtJroPXrwA3DF^ak7LYhF{bo{T};t(6p&<#~l7o zfM%ZenfJJGzVhs}Vz8_0KRt>~41fNn$Jw{8)~Sab&(AW>7sKZ^PCL6|8jWYZuLnv1 z10?)tGR`O$335KB)bVkCuZ*TirTNt+ZpRzPg&)QH2uK3Q7K2H`$rLA>|IPp6yr`nV z{`OVco$G*!x^YLY|9ti=C#L`AItPRL4fquI;P~lL2peFA=7+Q`7${k6EjoWg8GXwr zl?vZpj#EDLg<(5Gi7m|3Bfu}BOTODd=bHW4H9Wu^7#?Lhp(2-iNxwFGog?{K{JLKs zIw0X&WFG^5nd|P^i(_7X0>9?cz%>mchlST_Do1Ux>Qg^{N=iE?ZNra_e^0ij;6gaL zvzJzChz+b6pV-01cW!`qU)nvRJ)Yb7vpY>Ek8_H{@(7`O5?6qpU6;D?sgs6zf13Qt zyh3N^k^8E>H`F*WnD$~PiJ2(&&9~=ubtheq?cT(56#-I0aC{uSRijkS1Prm%Azj%d zDCoCQ@P4S~%&~i@Y7S!8Cu&C*raSVAg8olznXnVWt%W7sik~@Qv3xozY6m?#S z!<2@ORPZcW1Z&r^<@KQW+E*WS$>ZEsJw<7uVpb>mb*H~WQcDVKquL~Xrexh#XBZDf zo-F4Q*Hxh|UEwBP#1FHb@)BVrt(cG<&u#-ke*L?&w7{{?$~80=8w1fK{@y#&VnQM!M5vULlTMv&OoqCIi^~^?-r6E?>Ql#h5Ky_!D1w*Vq)o+a~j>u zw7?9*jS)0eF+A%K3+0K5O@A)%1+9N#dPx zPYup*p5xE=x-J%^eV*aIJ@5a<&n*DTtOjU6Y9(Gccd0-tOh66rP)mcrAA^?RtTzCun%GzfMR;)1(nFwZ|jTNi{E)~*H#N+ zGD6i&TN_nGJ5!SHkKZ;c2ptPJ>^*wTrIJQaFfg&d3JrvgDlaFISaH9U#=b`m&H#J; z>P?$Xt%RoNc1^?%)bgWEYIn%B7EP$_qoiPAu&Ktxd%az+^=co|dEJ=Dj6f=0{m{c( z%|Moq{9W&&u+HxY9^uo(x>X*7VOFIOPtRgoe;yeg@WxtE=fxX52v}O%y|+vOoK!vg zH9Uehf4_#gewo}fKkrg`=mdMaTEpw!cZb}SHL~_q5z|%3tq{rY;19}P7i+rCp61$)wht4ROJ6XPe67!yhTx;BDycts*P+Or3Ws^~iYc#} z&5t6W`F6g1AbjYzp#lRwIuk4LejWUM@j`blRX-`GUQdYe1gF*SBnX;rZ;(H3U9v*@ zSnkUbQG0=K*oxc6BQ-Qx`+flD;Ywxk5TunsQko?_nqG{5&Rn}MPe&(;;Xlg0R$@rI z82q#KPh0BneL|6uW}aXJ+$BZ@3A{l@&gWs^VI{0P!{atPr^MF^m%lhZEAF=s64PzRA-`C)IWA(K)OvoP3^!r<7~iT3en4y=!~ zD7QA>I@f~^em#Ae6sy+$}3-pn-jX!2K*|9IQFxo_ru;r~}Iy z7O#^0;TifiFzdsAPXYZ#5OZ2YrE`@-u}n^Gb;KeypFXx?o<8967N4=pbXp8tM!a_y|Q z>wrn+=)x_v%?Yp(4z9j*-h76e`OVaI(7V_be$d0Yoqy_hK6y7#_3OhcjQPV{)!d%U$#ncXM)PjtXg0_Xp)1DGNzJHXf_V^oY;GjCuT5#4pbG({z#+STbZLnP8Ww{s`YPQ3{*d zWK-@i%Qz+)WM}Bh_j0W(cdT4a=9$Q>^^!-QdajgHTW>nE=qKEW2+@A`%yGuGavoEz zO8M?dTtMnYs_R_bYM)T{627*UoiA@(pAq_fQ*5TNIp*}JgLu5qo3y*rxbrOaF0OG7 zOss3s?b=_Oj!`M;I{c`17lz#p*>;ND^=kMSjF->L^9K?C(Ai4ZQX$j6m{IiyQO|ou zzJ0ugKl;2wQgCS{{vo>!C98@`kVrkQ*@}9`ivWY1nI_26`iu4c>f!8q6lYiS>`sR* z-h_2t&_|;TSXyJq*aH8u)Y9gQx$zJ@Z=o;)f(ing5612=WIBj?b4-b})C+)k>Q_+u zuv{iT7`*SmOh*Vxi2#AUL)@(SubYD8N@Pb$neEpQmSloX^5^FKE%dOZyVO+s@ySNT zyu;+>=A&KrzBISDJu6RnBdKakjoh~RZq?=g7?6$hY@LD!gZppA)FT1Lt7Knz#IR6> znq>!~jA|Hlqx??*Qzz-guBH;z5c3GC$IlR`nW@VcsObpW+&z`_9AKGf&)-%-W{Yw5 z)AO!D!?0g;+veP_zuY${R){_N z7y_e_&MX^Mj%Iw$B^Wr}mA<@TGCpyZAARqr9j5(CHVD>)H*k!r^!z`|cWCCcJ$&Eg zzOV8j#^8YSy#IWwwFc8|#5{X;di=kJZ4Ak{hd(~a%zrB?N=@Rf zRNs|#j7el69qxg`{w*^MO(~W=k=(H(^NV_DftAar`?W#iN6R>7q4Cwg# zpZxI?-YL`zdsfx300nFOFYBl$AOrocm>dYb`_94>KP98rQ2tB<=y12nQtY-F)xIwJ zlUaX>bihTS&kZT+tGHd3>*zgt5C!+KB>sXZ%R;k(8n&T0d1R)4AU%qIy2W`twpuD~4 zmOmj~tbQ)Q)Dqy8%ULR$_t8e)O@;e`nlB(|_%xP;tHF_Qy$rj2D6iQ5F^;0#T%xMZ z#c!mm0z8=%XZXclRQh+aA$!U$aM;*QGsnRJ+1eF9j_Gh)E7)Qe7d2-bY$t5*DDbu> zGxqww7>uF6QdXWPrr#72hL8|MMC|*z0S55zkT3o3?$`5-gCamxFz^t?AUvT+db6}u zZr{505R@5WDt#NJOo-RjfI9rnK%$Zas7ux0X}OJx@lk4#SqyjtaXOe+u&s2 zU+`d4-LNY{TjJrFb4ame`a$ zlJL`ipYbBSIB%h|FjsO~u_i1Nu3~FvCe&25IMVfVbF^mw1mj$>K9)}-{6TX@dIYy_ z?x-oBmxWGFw)G0)u7=z#$z0nfOAM_Jmd;tj*5=RkL1pG)L;v;Prq;Nhc7J~DMxJ$Q zhuyO;1YLGpJuyCcIk+7h5BEZ5N19sJ6FH+yFWI|5zw>Sq$1q5v%?)EC=#j+HZis=m zTPIJNbDJtvicnx73+MOyxef6Sv9pGT+SL>{5%WKBNlnc#p0Gb5$vs&e?$nv0kD#}> ze<@|s>XHRkrr)AFjqFr7U}0=d~uPaM}3 z+i7O(lCfasaH=+nLyfY8i4~w8H(PAX92#=j;y9ZHi?)*>Qy2ebCS$@6#m;%pck<5+ z&t~b)E>ubVt6w!b+nYJV!}(A|oA7N^{^p-ip0IuY@C@Ml&dkrw#ym zTV~r8Ncn0p0wMKVS@~bH`{Okzr~&yaEk_!zKH~kU<|>V=-97VEi&E4{D7aQzYLNHR z6^|H4o^dQfjbQ>wddI-ZeR9?n{@HuFBzs;G@d*>yLo5|J?>5-5sQ6E&%)8v&wu@)k zVlfN2mz7hx4PR?mn+HP>DHZ7J$8HNky%x8`|I{4O|4Hm$dsm{#2`m&yc1@l+?)j99 zBsejLpwE_p%EkA(WC&t$4%fc`YUv?wQUiHw{Alu;Mg5we!|-zNwH-VO6b}*@bbi~! z0fj3L!o+3m^9$rQA-BzWWwVNtzC%Z#a_tc+6h1rkYJESIqa4+hMWZq zdQXcBBGVpY<hBnvk{7B~8r!2~;?@wI9FOjIq)}#V`+5$X zoO}hs<{~zWfF@fz?eR{b5Dz&SfL1{pbTH30c$lNgepBo_04zk<)?zgHRQm$T z5nc*+5ubmSN)@eB<9MC3(fHgKm+-@2Ld-LrpDK;gFTah5S912%y-6v4Yg1kOj2Us& z!AL(tE{%S?vsfmn-p`-}B1*=QAAvwRXBIZjdZq(i^}YLTgJH96_=jqm#H|*}Za$U| z+Ctud8c6xo+~&bbrL?GXz7`^N+vZ4&_m^R5JKOyh^$X+mcJlWa3~si&U1S;)w*KC= z(HsrUIO%0_xwPEzl=EO`D_Z%~=C#`Ih=1v-fT##4_6|fzR@!aMBN?sshN@@Yv+QZ- zkW?;d+%cNoF!F(s!+4bjx|vMjI{ zdf-%5c2y(O5d`^CwKp#LIo@0U9H59K#zi_O`N8`7c3u(8qUgy|Ayo3&X-pRyZrEwt z!J|w2f}Uin+~F=p4?(m@H;Qj1XNdI4L3vXVpgcHqW7KSnHTx>}qkEZ)@N2noW!Lla znnQlEat+#&L#vbQ>U?fPC%<-Y_{QTWvzwbKT_pdrVcq$&vzhZ_c6Rm-M#a&t z^Zj!r1fe>9!D7h@!0_x$P~}mglMxroDx#SI!I78X4`Zr&A`1yevU`; zS4jJPvs>BbtEkUAs+>Es)~KGTcCn=F2CZrCK>)?4H0mVcHB9P-0i*h0nPQ@y_U(mL z1-z)jgiDwgwrTB>#(Jyf<$D@@huh0pHTtW*C=>>r&r&Gysz%>sos)3_n$y-iKsDEX zlfV_QZqakQgZ+QYFSMdAT?EbWUih1CW z3)g&}pOhH9?)Y__>SKBEXDbE&N71qO2DPHz~PEVd&A#%hZ$y#Lgn)*|$= z`@^PvS}XTNL~_@2Pz*}p@0c+L!v%BXN}v4g>2bL=N$~sU)f($1qz)f!j6dpnCn+KA z*#yHrAUPj(NZ@>$*1gDZjlHi2fXR1BR&GPqv{4;3mE)~w)KvmkTM-`Xnj0lHMrYif5*>au!y69X4v`;tlNbS=kkvl`r)PslT$EO0dG zjfGx^(eU27Vuy4R^m&c^;HEh9eXhB^^;dA&%3?$f2*j$De;LD1r(pWL*S_gNV$4J*U*`J?(|)S!UQD@KO-V)Po+qb(}U^=MVyI75Kh-g$>~20JZ@U(SeL8(x^3P znIWU4qkD$0-OqmQA3qE^y;}u|m3-pErNekZ1WO5bRKU9Y3I7 zOrGl7dbDj>ZX1F4;gjBAKZH{P3AjBYe(m~KL)Z47XX@hg&Z|C)UN@0Zv=7^@_kKax z#1!eRBz>j8O7VVI;`Vvfm}kJ@CM)mJ;;+y(RvTMld3_Yvc1WR``m9EM zEg(-qP^v<&KLlCi+cw!e4C47%<|Ptx{%|+TD*B2N1ZmDc$+j{7eL66BPiVrvOKF2e z9cv17UtHp;{_WjqSbdw1{B~8UpWA;=bqg5~r6aj;-F5bKShf9sCZJ&voDG2KoUj{m z*3jL$wut_U9;ZxIDq5*tT(08{d??^b$*%7`{{7;~BuWHdswjRn?S_d+s!<=fG3hoQ zGv5RXvCvS}YM!2(VW~TuY7~AgK?)4sHdS$P#`$x7k*tz}p@|i^`wa|H`yoB8h#%ZJ>Lp=S}rg>@H zS5f>4u@^V4l-0#;T@NtEifySId@##mQFsX5FAD*?EdT5Z=_p_e9)7eQ8XX66WMNje-FFcVz-ZN?A$(HBB4^3iuh^5mrIT1_a;k%oe^#I z%Rc9w!SQ!*A1}8C27aga|KU?Nm4xpXX*QneXW@Jp*}7T297Efo%BLbg%a2JDaUKSP zK_uty6inZpiwzOeCh0Ef7XXHf0Dwn- z;K-$7^oC&{pC%7*oLpZwmt$ErBBKrRtLtmY$hJ3dIn0=y0jK`567C;%+4DHj*w`qaU= zteJn=GfL+=gF+<~P-~H7-<5?$L@Mm)9OFGJxWvj<#_VgE7@qQXkS0 zDf(a=4tC}d?}mGuHk=YPQtT4q6qYxh5)c2Jl6ReTM>OrT4`Clz=&VZ*1Y_|p;+&{fVym5;PC!q02YSI>{wy3Q&-1P}RxiWDs^?8dQm2R5YD zb-A*%Qqrf`$t*tpx(FFcs3*w4QBernykx%5!dR;*HWeFMq|u~lT%C(x`Y&CYVk1keX8U)bBX zI&fnLo|`Uu{5X8*XW(*~?*Z_cF{bfedFFT5IgN!&ki&g0oyPe|qnvENtAq64Kg3kS zuLd!Fz$xp#a9F;gKEL-!|B#;8GLvw>D@um&RCWuY@gQXvTN%YrmyGtogLv zQ?%D&_oo9|zLaX~Yd;5`f$z(Yec{C2C;`zKF*7029J{w<^9tfuX&HaKO|FVhIG?Cd zen|3?t}fClovdsQG~c{x&_X7<{JE@I8s){)q$z;iw|Ti(V*ByG z>X5(9xu-`b3eEPRVc0Lsa;G7$zesKMbMJOu)zwAsB^ z^yCQM+bi>t$a+$qg0Y>_y==wQ4r7IQ<0 z*8rc!o+Q3Jp>^T>#BBHXiZ|C`-P9gDF6{x$D_v8Oywf(~ja5YvGZ?wyl#s^dJL!p$TN{(p4+VhKBa|t z^#0A+=d&wZU#yt(hmSR^XYC(+y7*argFVx5NJp=P7cXsd1aU^cE%<7U&$6y(+~P=! z6Zq7xy}9hd)GrdR;G9R-wlS6mot|@uEEY+mc zDM|>AdPtdC{fNt6NV5HtU6xOjmC|6Qo_B-JMD;MF^BRc80xZvFr+UscSNXwdH6O>+ z4*FN!s5^e&h-N%*!3N0e=BAo>t`qGQiCI546aPH!o0Ts8c4nJB6h4et_Ek_;?+Mm2 z4*eQlssqt29PgBvQo*ySdmVA9k^XKy^lEmU?jJW|w)C;%Fp26l;fTkR3F=0zYi`hw z593PKO+{BXj^{pJ@1qsdYLOx?2u-E?)J^Xd&ASiE$tijq9Eus3N<|00Md_;k(^MZ^ zH+8=scDBW05O&N#fLn&CSk?abaN}kAG}vY4;p>#}gd4Wd$hL=qUCfthE*=5q=%>BC zsv~w2_xm418kSJ~Y#^eBQ`9vN53E}pem@Jm{=7Vnxo5cQvr83vGWXZZi4duy2gA*< zYcKYz7Vm4tK3qUT+mFnAUns2yDaw0*Oa3EghUdny=b~-6A5@>PUV&PBn|!*k+_HYi zZ%`AaKcwxPnO3E?Gc;blT-Xy?*Z>_b}BsLBbww z$Gnpzn7nlOV?`|v%s(yCr4HMAcdyeQkceM|(WdA>iigAV+b@?z98!`yzSi!qN<5Qa zYX9VBnm-p($W_k3cL(A%aW)1ln#*G6YrWyYcG_8%C>H5rzX@$TC-( zHB}YLlx4Rqvr9*fhbj#OUf9VkZq75!OeG>odi@yh!RbIvYVb`StYD%^euKgOB?7r| ziAH%t&#C~Pa6ug;9viQ$=3{y&5o7)q*=f|b)3t~^d=QD}0Sr1A1pky&nkcH8(JU%b`%_n z)84Xoo!qPpOMgE~xW0-!YxBbl?Y&O{)O)^f5^rL!6BV8kDXmjXrSn=EP1pplVbBBg z2rKR#fO|XG>R~}4w!%-3Z$2T4JX4xPht|+Dm_kL8xcqR+3R!m^EL33A#W+0zHuN;8vZeGocIp(kN-uevl z?%KEZa5<=5+y{3Ws9FgbPAg(7fD@CZ^1!57akXmBDu@Ir2g(6yDta}{(moBi8Ows# zG?aY(u6N&D4(gv1cC@qy3t6nv<{>8CfYSq;`(shWVP&f7X*@FGPtRM<{RheI1pfP$ zhd()|v#E>b%AUgho|MOT38jLy?XP)K@KkHZ(L6`yd9j3X_{@Q9^_|~E?c22y;_E*% zTl#9Xnq=(EPeWond|Hm9TPir(H*R;5B1OHv>~BF~MQL|5!PMdgxZl!VRvTnBb&*{9 zccjf3tK#9?Kd{lm=+T1;j;A0+_8rieV@T-zkkPq3$GBY_;46MdbQt9u)x`ZuDR_?z>W2V?jB`FcXB5CZ_^H(HxH z$H8l-d}Y}@m7sT}tnX3qsxVx)Rfsp$cVx%+(c63pGMIUqkPQ6q_&l|{ad3b?5A1k; z@D~#;G|}>Dk%0z~y#$H_I{v|O(ceLop~S%WcKBDh@a6vgNbBeKDR2}~NX(FTmbf58 zc8TM($+r1>$_&GBosyD|@!t7#3dHL+)1bi91XC}@>#y-6rf2pmBe|Fr;l^Hh5 z2S#Q!(SMuMme1CNS}s&ylXZ#yO_GpfSB48Pn4;IG?F&_CdS6XXm$eXq&D+mIuf z&ujbY>*`Z_wm>k{SBvUx0D|INEG~JStWCc^C4Hprz>?A5 zXkmaP3l#c{%mGU&cP5!JodDMiTc;VXZiGgnv3Hi$0D4#1H?>5B^G4Zl7NJ z&WJ?WnK>^Z07NekJn`$`4sR>kdJaE5$CE%Du*uIC$9ww^LZS*9i}~5QdOPS5;(2db zBBg@aT`0|P{NPN58pIIxv`t8oOEY9=Jh3Rh_>ya^r{tjQ%=3>5Wv#)IpwV<*QS{T6 zDr^IBsgBnwCgC|V`U&^QjZv}f+`E`znProg z;U0bb$xR3J&c}8?v#8HMcS`5e-_HxERMQdYmLwH78=oVXuww+=##DXFscl6ReRw%%XX(0${R z7a7bc1;Pa#+uq5ko=|~Smr$C+WPb{fI*`2G;?GRkV&?eKraeDR_*ptTb z9Kaf;pXc}v%%rPQ>yE%rzR}O8Rh`-Z3;N(}e%6~BrnGOZ+h^$jeqf~lk&eh{Qw4_?;`Cd6wy0(oSDu( z4E-ou2ErJS+GH zKIB*ag2WW^zGlp+2CJ-_fKRV0a!&nI@Ea=FSnn^D67pe+1*;)uZHGiGR9y(>p_Tk;qP-)=G4e3{EcNgxk_yiFO(`L8otPS^b+=Dno*p5`sR;fV|i)!k#7$YTt(UbMUirNZx-meP^r$^GE)btP`yb@ z?FsCi`|FV1^|w{=3-ja)THDL1DL0b2dGFX#GvEFBV%<1hB;ZGm%oSo!vGCwx5!?L; zZkYFMN9$3netP2ZcMvtubvf~r;C;iTFroLBhR>Q%+ERgdJAd`nzcHHJ-N{3{sj9Ew za@$UwJ^?>+KJuy=1uws*{_n4bsNoim9FthIXwPtqi{4#<%(iRB_#_3x5KoUj*C!vQ z_kh8?qu?y}jJPD$@s zgTHn?=y^88#(Cep#7PN!R}%dCFVY+Kc=WKG!7MI9>_HXjoso4 zJysl^y{U94A2M?qrBeb^TfOw+o}m$R`Lj%JFHNt=YR~Nay!ean?>XyCdhAaUYcw`r z#$q1gBKJTy3_Z8rhVvC3tbBaj$$!5cIXSi>gALIP%-Ph@22XC|`@Fpgb?($SNMHeh zEDnwoOiV|L=|4}Ri&Kpj)a$pHV!8|fU_%U!RmWyfjska7sczt9wjVDh`KR`$oXja@ zHaK=E8yyq8(+doBJcO?af#SRfwo`}O}juy0xAeX z=UvB(&RGFouMQ!)7)MSyJfw?Rq!IdcbUBxmuy0&I_4bp21rP%Bvz<&_Lls z=d9GITERtUT(Eb~uE#*IsfBzjcsVu|!n3As@<;0;s^)5~x~snGq}LO5|F z>ABS+u1;hxwapqIP7*EgXT}~&>Ay{7S|PX2W`5v5UZ^QPqG@lV_$sZneWtdZabK+EH+eb;`7q=j0YbUl9i#8N@@} z^`cp=jc;-}4jGtDkk@{WCHYRKIL1-L@anmU+i2(aLZnI?z_xlKcxCur)zzSExNGtf zc|R$l?t5%ui{HJ$GPd}45Ed5VWxrJcZ$H~&!i&ib*}W;JuL?%=V)yZv6^vJQ#S^#F z4%eKqp^4bdV0Zd#2lMB4;3Bi?loB4nd#o{1ecJA@@06O7d)I-9X>uHKDU?Y9hz@Dk zV2GaOXH8sHv5dzAQKh8MjQ|$N-V@&+$*`XBjw>MfCJhxL@7Hx#kGI>QBstKv3rLfY&b?Z0cue1iGomK8? zOtUsTVgKgCYPfyi9Lcji*U3WC;a9gOPBx{t`J`ojdCOv7O|J&bG%yibmWp_2$0}Ip zE`rB_?jAw_S{6k4-!ROo7s%w9z8&48ts;9p4Dv*e{FnEg1O+9eI*6gjHbW5aN!F*~ zBder}qW>U`#H4Mu|M472gY#AadJ9Kl8UgPeNhi-h} z%BX?v2)SOznE2oUU9%DL3dX-E*iZmN^UR#Q(9hE#n6$-GC7;+Qm0NfT;RSm z(D2*6xK?_MHJ-EuwdSzR+6f4F{9%nfKcun5T^D!+v;TcQhRp3?>1cm8y?FQDOF&RA ziwW$P-=)cf3!Q)^@*L-JigS@~0`!TqdF3#-{u$DX_g^IZ|9Bif+~(?Co2)0Yh^>0I zKL?Meih2>e=$iDisUb^-ou*tOc&&UkyZKG|)5Jhn=*QejpjEc$MpjPqrCoDQC&)hW zC=A{nbeFCPmMGU;aY{_Y_nO26!Y<)jVrz}XJQWl*Y#@I1Kq$s7O(aB{r@$V znD&{4rFpQ4C1aNvES}gyqU1|4!no1q=iv(57zp05qtTccK zzr1!)g#3|;k)3b}h_L=Se!1oRyYEOlb9KB>lsuDhN18sQVB@w$LR6vdySds}W_rZz zktEH5^fYZ}c}$&{!AB)g_>0BaH)y{*OgE~)=-IV*^q!H%|Hso;M@9X7e=DNWA|l=0 z-KBKb(kar7bfYxVyDVMOl1g_8EZrsDEC|veqWBD-?{j{C?QvN>vh$vqd+)1)U7zQn zI^~Y|cUFF;kriq1EY*~=SF|BFWDX!;cJI?hqk*oX2HosD`H^g&Q|8Z_Pz)I7wjNH_9@)HeamzWYMW z&zO%GUp2WGSqT1Z0&=J$Rc?VBzihgn2Vz&J`2j_)t!dDz0PwdaMU~i6n~SKoI$E*z z92BZpfLg%t{Py1+H#ivGWph|#Pk|>nNT~Mf{fBI%ILUk^)^b)oYz%eiru=)BwR(dT zc>r{|Qml7V2?;KRx`#o5tM24pB~n!TMv;jkU4+2x#-enIAW9`B7MHg26do>T1MB0X z{dEsgjX{|e^Z097Jc|XhEx6e=AYbj+7&8eRw7ylcymWF|@GA8;R+5C5cG1f6ypE$b z*D*7+LVL~`^Bq{YGvDk<_7$?&`o%mu*}C2ZBD|ox1!0rpM3k@)mTBfe!NWyh(bv4c zH_B_VXDnI#nEQjQnd8*>oDyBO6OxO=lgfeJ*0@(#9lz9FUm;Q2yLI!xI?w+q;Kf); zaWXDM&=VkZYKC!2C{V~9lo!JJHj(6DMIv6?{%-hR5UTuy*z^Xve({X42l+%>mRbjOEZXX4?NA zk3j5&<9Q{48d_iQeu(QUUQo64@x2ERg9k10H@KqQ0yOe;lu(UT8Xk<-PuV2{LU9T- z_kGP~8)zt|&IzPG)ms+Rmsf5ebE|%l{@Zw}Cm~RXY+WV_`*1@?J5GzeM;I;-Z553$jr+T_fpq#ocML=YXXKu`DfE z5qd@<;{P_ENO;X_P-CX3>cW`SKGoxUfx=l;@Plnzda7>?)j)(6XQjJS`jw8JTZV^y zz&#G~?%&sZ7Cw%yY0m^mNT{6}62)}_K3Yd6=Rq?Z*PU?@%n*s)n()fg=vU#_cwM|P+Gj?!?OQY5Ey#0AsYhKVd(Q#YNTdOsUJo*4-R%n*N{ z%lN)~TrEHpaChJzTwcsX72;$pZ2$aC=94XQ0CXjYf zz187WG(16yhwv>{B}=ga(C++3u_s{-Ow+2DR$XiCfl@mWuOYi=$qydV`t&h1U{n*qp1g=GZ+Em^EU5ujFP0nF#&uy21L(_X9Nh+ZnLNUVz{oHK>hN5B$tR&jO zEd9Y5Y*wCN+~<^2$G$$^LqMr+=hxpLz?BxQ#LO*Vt|Egb8T*isc2!m&F3&x<%G(3M z%gK-Uc(KZ#L!))C63-%7Hh_;X04M%1B4L9|N2Abcs92IMdnrcTgN)Vc1rmYmZr?OG zjqfzt$C%J7zadvV)B&O>YHb5nbPIPgiMpo4+} z(#BoWSUT38dv0gFzp*v`76`WfSX|OBaEMV(PVkRIAljMDwPT@z%C33^ly(vK z%GoMP8Xt{t>9R84At0qv_D!|k5obi2K zAwSLmil@U(%(&o4330E&%Hl-_GoO-Nhu9?%666TWGE6E#Z9>M1ajrm`cKxmmCD}VJ zPJJgoik%F$q>Hg>qXgH%E+H+H7qI8GkbM&e$EomCl)4l^8cc?5g_Efy0xx%8kGT^E zorr2EfJxk@wHgH!6|7kJu@t%+s_w|E@44pUjp4v)DC8|@Ji4$gDt1L>Qh3>`X8A$M zuryFyyJlb(qWxjfxJUcU6K|_YTD&X?e-AX7H2iEry(e^2d_mBA^@D{r4BY&&y9G^$Fy+4JJ^g!jjwab$S5YJhrb&o~Zp8tG)GQjt6X=OH=uVK{ zCvWpnGFak^_@G9sI-zyHQKqDr(!ZNteg0AVX2O@0#uNEjG`EoD>af|0FMDT8p44wE zT{lC;p#l>?DsQsq0!}?ZzS5ZrWE+Ee9mrupzU~+gu!<&1x+!&q+R<|ns5Od5PKStT z@gX*hdqu{xWv3$Uw$xLlpSEqE8b~ks*AbKs3xu4<15=Nv?ey15iZY1~iVRk;?nD^R zyvk4^A!pcYn`jk`hU~3rdD0pc%|;ITUn0_Uc4l81B03uD5Yw3_^)*hY75>&(?GF2! zJ@Fo^>lW2(3&+jt=JdYF^D+-u*e48eX@7xkr8ul5WEH)z>4Y$GTlhj?ec38*uSQt{ zH3}8*!);JZaw$BhaLzbT@_=K=M-+x4IW$R4TbyFy=9FI#JP(4q>L4Q}FLsl%s?;9~ zRnkkMNh!cosZk`Rh}3ob;!7U85!L#;w(JTJ7k`u3=s-r)F2=V)!KSnscX}&YBYaPl z{IpL_ZH(3RKAY|tv+eK3;n!~CIR|GqTcdkTYd7^zzuZj5mXO%R-s1w*FI?x-v)tb< zj{`ZK)k^FE2?gnO@n`wnfBgt?d9sCK@S(_2h4Vwe8TPPVCb_@)SN)=b6`{0WLkS@* zikx-%Y<#^yK{P<8r{OuW0BcHDH}=v~LaW%-7?Mz_-h5BYNzDDzE?K zh##~3Cu46}<<7SJh5L~MOv<|1w$$%z6{kgm&I_coIu*39fpECIHbr6kNU|^T+Q!ko zzij{G!!jwnmH|Naf5ld6G(O!>H1LvAJPY_IfJltM>85_>6a-vX!v#HdOX4b_KwmTkv>1drpT^`4*T037|%Gm$?=&rq07yVWtB^a^VbUF;vl|X z=YT>u0&M8r*`~|{u#^|HNnb3sR`IT}bQy8p%(JwDm?ipL651@IBGK!x@n%3Ps8Pmec`yE0dukeW)v!e z!%v+8sq{i_=vsA5JpHdcfIq?P}7|syUcBY@+!f;U%9xXU-=83*>IJyZ(9ADFng>(yjDufW9cnVGvAD9YXmf z=ojIym7sL3`7)(lB1AN$76Ld=pb(kG4jIMI7_ui{mpuTP+(s-3GU=7_^AqpN6%O)^ zDr~vm#{W*-p9Aefz()S}=iHB~f=1E0mZG*6X8Mk}Y0N6sR}Q%$wu%>@=oPTj;dbJ2 z4@0Pae7Fo&Vsw9dEXgvJK|yO!ERhGJ{aDJa>( zQ&h?=Vau2CDvaY{xRAWHCWRcv&hXs#Et^~NMj{8Wv9_=TN~d3^{_b}}>c^|mg}3*+ zSuQD#ZxRe{?l<${ySpWNx>LVN5#sMyt6Ybx4gF~XW;gfucjoRApW!j3&iv|xy|A+r z8Q8M6@?L8|h1VAgC%pG?Ya>g=y0^4An5loC9hEAqbBr*79`=duzTtLG?SaaD1FOw^ z(Ub(+tU_$?g{Bq0sbRAdcmr~T1>^0YMNOyN=W_%@-4{K#!W2=am68N0T9HvOSkZ8NTFK5a;m?L5en+yY7Ny5U2gB2Dn5 z_8g5+kb~tDSr$Cx62O{b4Q{CgoiO9@6XwT;c8657K$RvH)l1|`L9xm_$lETxL+^L!<*$4gE8MGHYw(YnlMI5 znMu?AP8?Bxvmw0v-ulq@dG|b~h$~Y4RH_2p?30bpgIByFV{S(IRzJHBJ|{GG-eJYIAT=s6XIBfvXaT)O>Yk`H|{nTZ{@w zO)9SbGudyW9lrVH&&6sSXV~$JBY$T;S%D)wP(6c1mpnZi?Ur43qK?ZiVV`Y0?%WEp z3>+s#w(=QfuAUY|o;%R55Yi?A@M0DJt)=`K*wV3->F+3s8!}}YX z=dp!$ON~RoVKh|T3zTkF>79VEUP$D+1PS2VL^W|pivOKB zd+1aMlDKp2%8<=e5d(ABuH5PA))@KQMQ%L)SH`K_<+-T1gEQK&*x)a}Md?b3Dhpp9 zYzN}DG5YMOnu+Ly;STV|oe#>?@3RB9>J$=kx>e~aei@Jrv4hB`n+fb{mQd^-fzhc{ z0WGG_Lsd|j#K2Jw9vKuj`D;T2QffVwW(W=G-K}UiWGXzvn0)^EguqU0-ekQ%5fkI! z%+*V09Wp-MtJt~kb1x~$cq*$pp82JIw;={##3Hm{(qapgIqZioj^5aC*484OwxtT{ z!JxITRz@d>`AntS_*%@MA>cyeO><0dP^9FE=jJND#bwc#0%>x21`^O|or#QcZ4C&t zSG&4ISF2x=l%NXo(1Kf;P}u%4Ic4Lp{%p;`=S(NyFGlD640EnNk61-592Y-*eN0la z7(_<8>&!<4?WJJLu1RdVnMu$hBBHz0_ z+;)LMxHhd=fmr0{8{;^ySJ8ollYWV-XyfKzsw+Szpw#^N03*Fh)qQkR-R$H!E(+2- z=lBpMWCsD>6U=8x>hf{r?aMN6?*QMN_ouVWs4EsI@~3rYV* z+ozGs6JgwRpjf4tGi?`e zpJ{(AY@g{v9W^flBBbHUdvxj0H`Puq=o^@x)*>6I&%a zFa^IFL(P{kRSSLR->hpNt_2dUz{Jc(%Lt@{S>hejW-iu%k-tb>tzMtReh1R}g+<{J zkmd`e?f#m0)4>VH<7?ju?64$h9iSYqu5Io z%sAY2lc6keaTjh5vr1_N#bnl&RfsnQbrOOPMJkpkwUEtR<=DTH9)cki>yye?EE}-v zMBPEXA0+vpLYcg4o=6vbY4ucQO-IxG&VSG6zv6+cNz#d)Yp+gn8aNAaI2dXvGD}vy zgnWSEStQM5p61Z#*`g*%xr=fBvL{Ys?hAmqi;Wuy;uL)v;s`m$3$k$iw?0JTY0q=e}cyM%%;jGVpB)u^PJJoztDD?aN`U-K}-Z#aTAvZrZol&eL zIPApkD{nl(dFVG{|Mz~`x8Hq>p7YdHP4lNX|41^e!3_3v0^Hf%HOTrcM+V50WW(#; zV56T&*7Zr9Q*jW_L`+@ib#??s+0x&f+`;cjeD&Rixrp^=81dGR|4v+jc3*Y(+xX7D zZ-0T6bUJI9F)-d(ecZC>TJz(3Lqv~ncW4g`_zm^wm0%CiqnF;wzl^a{vk|vBpdch$ zeOw4pNX9UL&OCerfb~b*P9e;7meYO#sN~c%6OhdS5U|yL8b&nW0rP_>(MZcMB|@m+ zR0w#X|H3EzuvEn1!Z}M~EbAdA6t*B+wHMp(ABkU@MsCr9Xn)ppGD7+KL9^Pt8`e1E zc98;NZM7e6HgA_-&W7KA4inP@Gh>15w}!U6IuX}{{mdAW3|2e}**jrrtL{&0Q78?E zXrv!Rp7W%qCBfF`o)qF|1X-sfK!K0=9qh9S}R%F5*W`}%Wk#nt6E_<*Ucrn6f? z8p=%p;;c!N3X21%<}vsO#Iq|!>mUlQ=kD+RYnn&vh`bxQ?@Mc=9-_$9m?op%s*j@_ zu1J6Xt2RYAJ`-~_$I3`Y6sf@K{3J(C>|qoosJVz(nctJ|-*{fzZ+Y#HmV*XrI-V6Z z9{7bWo8WhOSuW2Km9Kh`fB8y7YL}5=QlRmPo?1rg16xvPai!3qJ=ru*2oOb>9S)-C8>gn-3;I-RAS<2YE~Yapvh zFC5)*9covmFepsiT#@In?oCA5ZYa=f_HnrbV@ z?h|&cx+QmM;wStZE^(Yk09w=PPsqCPlS5DdK z8s_|p@6E4UPye7+>BS~*=r^X`L?MN;^YTTW+!RjHW%v6ivzG{;SWgA|hpC96NSQz3 z*S$JGWqO_S4>_*>oNjA|hIP+recyL{(6|5n1?hFwrErtYcxzX9?y#T33AbCvp@9oF z@Mck<)5@ql$00;9ITlJwEp@L4p;-~d^=Rl%x)~D$z!=j=dC91u9cgRI#Y)FIZxQ%_ zkTYpTX=vMsh9=Hc|5w8^s z`a^i1km`2~jh30tHD5O6A2f3wvd%<}vtXVipIqnsXT`)y%oWdii6G|UI1E>z5v_AD zmelQZDdpgVV8&q_B&`&kK?Bg2ok*N*w-womBV?_UJO14C7>u`4^Y|fwJGWAUGi?7O4Aw`tb*I_4&ECo!v@-Lv zsTEwv{#VNcS5NZZl#J{Q=e{G`ygKxij>;pg+$SIQ9Iu|m*a87dNTJTaLQ(rd*D={=Jvkq_D}!%#X=tAA1JzI<7ZC52b3kwj-0?xvR%=D zm7Uh&s^)b(5sef^F)&Zy_jK7GndLkwn*fP!zytqD;jnY-cvuD1C99>X0vzBlQMRS-%g8EU^@bfIdN{80D{w{ z50?+=^E5)fjM;YtEV?x~zvJ*sy~XuyQ%Pd*EuI>W7$`ns=8a1z4PE*DA;peH&e$>G zsR1$cjtce3=&k}jY){<$#EDAE25WAuYByW_n1Q+w=gK81rTII(0#(>+K?QcD$J7{Q zDrV9wGU!E7)QJwkiO^Lc7>1w93+m_5Y@Y3UhUe>QeGLHS2dw%fe>Zl0!6#3~AAO{H z(%mEaf~OLV`lR4`*Ovai#b@qraPLK1T6Oc*ggNvz)B@|t>{AbfJMvThF}svftg_tD zw9@(NsfWI(f8hrehF4MRw8Kv7+_pn5hB3GyWiu+}v7tcOW2h$h?z_&n#<8$V1aBo@`kX!?04Fm3>#vNGJ@jbn7r^zs;BKVRmA16MG{Z{J z3Ea9vx=hvG#xsG}*J+1xt zVP~L;l?OoZaet0QhX-qb`FraK!J(ccfbSjB$i1|^qE1GH+hf{pwUyV(FK)d2d=Z4?fVr22({*UvcNdw|$_Kr1DN;%^$XWyOXSXas#~L z-Ghr8g$TcLm>Cm^SW7a)3~CbhfLQHU_XTcn6yOH?f91CO$||hDD);p?J=hWry1wGh zF!^_vWYHE}jBhz~TOI^twhvSdWD?y$SwFI&2E#uzQWRos^Auz->1G0U2SkZvi<+U7 zf%((GPLbw~qb?Z3GnIFxg1+L~=QT2VUCcZ&Pg0H|d)96=b9-5w=>ZsfF-s|c*1D^pziaLb5jVVaS2{`isQ*lM9A$ionuKGrxov)_G z6CG|Av@4XAIbu^fB8SgZN|(=E+|r^tCl+Mt5JMPh=MI!iJCs2eCKwf?S+nW`>?RO? zixR{HWMi1RnP4uFl0fmpXnKX4wO@Sve?w#IS8w>}?0n-dasRx6VX7~WbEd8^ zDAGqek`Gn@g5Tv2?zd!0dvMf1ri4Jz?Qy3Nv@1qrXoT69P1}4NIn1(i)Kh2V)E+Yfmp8CBHdsH z5pbLUBJp=(oJ`&f--BKb4tswL{Py?BB=M^@DBx#<(8VxZD1?ihzgDT%`7mx?aj`F! z%ohNf_mi0f!r)s+Q428r0X zYYs*2zZap>Wey&B*8+fp7W8K|*3;>f8iG$8m-hzL+XTc!Dgo{px`kfzLQKMeyIX5FL&5$IWRGNF_Rx7# zU5*s1O|SY%5nbemcE!LClTbVu&?U@Fept%N$0jJym>i>1)IF(0q3)FwU?5JDOKn-S zQc+YOyoPc6uZr_LHYi4u*fdQP`}l#R_%+87X0pNy9qMAb_Gck1>JF3E3LYiffn5=W zHXNu-?4R=)hGDE_&q`yA;V8$`b#n_X(%2-2WdwW1lNS_};=p)PG?Ka7)H_~GPaz#^ zC>d8DIp_gPX?w5zJOU&oK<7Ya0Uj+NP$h;E|7fUpv{yE;jYk5d!c?m^*E?z;<+Woz zHGNS|*Q#e5j1TLRIqMrtDI56pEGQ6|PfGYh&UX|?8>;`TuX>zB{+gxZT%&iEpSw%} zIhOl}8Y|J#{D$ksmRd#`tK6)$q+gQihPN(-=4<}9{Wk~dUG9OjNFljze{};9N6ib4 z^1CSaHQ;ZkNyU8uP!9Es0Uz$j#6`5AzDiOlqAG+zkZu%LeWi6Wuwx>|xNQrM~dJU5;7nOs6J+zjHzr4Z1X zvLNnn8cjz(R(Z}uJt0lAQqtHhD=k7@NHZ;4W1=h@8?3_mF1UpkZWVDJOq6ugoQik+ z$QQ~0{Ft&2wThk+r}25xJa;sT!3pQ&hCLxCye0nPa}r26l^ zZzTS^rWs0f?#p1rAFao$;;Ol<}MykS1})s{H>?c{FAqFpb3~ zV|S~Fxe%ZVHg-E>BY`FJN+kY(~8RId6uwoUUM z6GIEKr17*|&NM&N-4-z-U?!erxoa?3Y*Rz0-2Ttxoji=BaRCSzhTTMuFz%0a8!?3J z-C06{{ycD_B1ibTRr>fC^W^Rl5q{xkFE1pzFr+_T%U*w^Qv6tTrGQSK@Li6>ezOwu z%|c`(NQwZXxA@)1z8u^PH~OmOvAKWOac>$-)&V=yOi$p-R&(NN@XuE!)b^MFPhHw5 zqAf7tSQE{{1OWz0>wy_Q-ec2!ALbrb(&I%z5|t%wAo8Mxh50GtbUYo3t&8#}qHpx1 zH^p(ROQnvIe)_Mfemi+ZNj2b;Zl=c*i2daKx+Jz-8C{8Gh&*eAxt<$d1A>;`Qt7$X z(4tB+h8)(RSo?tM~{76~soF#zB13c%rSOHW^ zM*kR?K>V0<=VJxHOfmi3V_+M^)+jE29C{xy~_&maf(>%w^hZ>gE+rnrPJfKg@?ke~t(46gnm?2uo6kFTeTV^mkWwG;dvVdF=!CIyTl~e> zzxgO~a%@HE~55ezhpFIQV zOm*2k`s&9h5GIL$#5Q99geywsFfXoFmtjND3RPq~FvDTIC0GIZ~M@ z4NKS;HMZdvMlBxpoQELJA~Fd)LQ~Ey?4P0JCi98S%e6?kEqMl$`@4FMc2wiOl0R?I zvLbAJX|cIVQM}U>wgPxBuLa$X1%c}=?zg6c`#$Yelium=`v$U?-a7f@*EC?LD~rAO zC6^t*Qrm`fTeXSX%m;I>bxc*W;T&P>cbc-(qGMyCLlD|z^J$`%F-?NsdUNjW{`#(M zOdxm(@z{-BIBoZK>`MHYk1+hJO394sv|)#clfEDhJpi(Br8X@Jd6~J3;k`F-$Ihnf zgv7g_v~!~7M0N9lUAJ%R2}AEh=CjB)7mfkM;v|nbP`mB09(moo}jz3@IVSfn@V!%6L2shUu1(w|1hU5SK+NcYs5waD7 zGuCtXRU7Zy`ubGAb0wvC!kwbS;c$am${8MtTz)WF7>p0ggrP7eS^otb(J@|nIe?pZ z4r=qu1vSZhMWEbR+r@}_89AB+)YnYr96a5<2{HO?b??G_9I&{ zaS1I(Ys~&^y=IJxxzoBMunOcy#*y-U${XTWMS|3w=tIAle}yAW@AXg5)l&ohSjNmb zWMPU4Rs7lryo35AP=`>J}Xc?eO6}#l# z{~S~3eX2TSM~wq{NA1hqN8KG%s`}T9eIN8hx{f~9K`b&;me*@%6yN{WtoXWEk<`I^ ziJ(dn%7)`^pw*DC4VlZ*YQ&*NU44wol}qq>)x1KT0+R+}uL^aDN78#Dxg^YtU!zlz zz#$`y8BVDqdL>0_TDH$6-WzJ!cdvv#f@_PJfSMP~|6(tJEUU#+A6aTNyb=nl@>Us+ z^)0%Y^miW;^Q=t0sa5l!?seyJdlt`Fhp08aRw>`OP68%QGV#c9I*XQ7*M@!HfH^K^ z{#*&&ESFK!p1|=|`LZD5tQZxgzBz+{2lTX7DU%*KP7YD0R~7jdCX?4k;MWA&*M)($ zf%^&hs#k|%^g z`=gq=StaN4NFwAk_;;IysZ}V2!}@j`?KB=G#8}7pZ-rp?&NL(GT)iY-QZ)_qvH=PH z#8A}nQV?8z#^F4ABdnt~jHCkfTYxKsQOU(^7U7tesNs#noRk%lpvbYCiI)1$|7w9* zVbq^{wTj<*{3k+ILwepTR#A7q)hohH0dXv#pzvDpqizW9;}Ez{)frY1ogwR?#?6n| zl9886fT9`k%|NZ3%#Z6eHua$7mmfJ}Pk55Imjf>Jk=${z8g%FlG(E!dAUYQcWgc`} z0$;3H8}H*!{5Z_?!>Z~oDCZD&KFE?KYOE^_t(i93@Rk+5HF;9e|7yB!6MNL zQLtPQ0VQ6ff`iz!5sk&3{AxcyhyVh`HK%;SeohupsZtK*c}WX!M&Bi0y;o0Lf|m0o z?p1cZ9$PB1;5c+M?KJNE%K`?LTpW|2?<7P%0#I4n?rX~>5s@uTrFX}lsN^K4iI@3T zFaFP+-y*wTo=NNiF^SgSpnT2JdD>H8#A^?51|o1^FJApwuyIhE$39rpw8l-W01@wW z^0isGG&Br$SWy=BeU*2j;(Gyt=Y#(JX-~kza7>b{8RBx>o>}$BZ|F&CU@wx?Gstc_WA$evM1KV z!~cy9h-f`+xDhV`3(tdvgd%K|%wtQA4l94WBcv6?7W^d+zL@&&x7hDN0Qir;@v&fi zoRB8`>M7>S5^#`Pl{;p#&6Ca;FO!EUEvD3>r<3oS#V%n z&Kx`YRk7i*Vqrox4HJzCdD@>u`l_J=aDT1(@`z~FQ`p~RIo|v!%-d(rTwHJOL5-52 z0?CgEnTq#wMM0Cz;E~BW2F&n3Ry2RDT+$0iIbiS?pE#$S&?;i!>1Gfs4}|8m;-;OU zokW}9maQfis{@EBJTLU5poPxxtYsE{;rOuX7mEpR1}QC+D0AVKdp{mLoO>F3NjBnE zEQ?rZDRL&arkGH2<6=#NX8?okHh`rF12ejEGD_O^)0z4mj}=YJj2k)-G-3&ewl{Sk zx#rIfC1owB0{@frYtg)qC5y!kQDNm_PuC%)+Vhq;0E}h40EO^xnIjS#L7^wqcr-%C z22PM`#n^|`mWxC&7k@K@G>@m^1Iq4utOa*}gT}4j_p)!G4_@&0VyJ=2VSt|myl+#p z>#~y=gYoy7U<;p3-K*EWi~Z(5`^m)oPU4-{D!r2tb0P#+sy8x<0En?=ObYx<1OdR# zRA&jX4O7`nRVsc@N~+%&v1+XT1K90>1R)sXuz)8i492KFZj`c=v-W3W@*elD+_1_n zNW93&Wiz@j$>zlkVIwb!=rU&JNgi;*4)%|XOigV~4}tuObkLJUr8)7A^xVr;f(E#( ztvj|Y`zsJbm2hdo67Mo~iECMuwV1eTmJ7$c*dIe!hQzE6itw`A>-~BsW z@y#;P^IX4OTea!X8cnhs1b|u>QEYCUDpg!?Kas*yyyA6Kv@kCpY-$g*AWl?~!ID=K zicdx85_hfMZOZfRJld5;`yS@}jtUFmrSgFEnGfLQ=|Hd>k35Ro*C>&5I>`v5BA9lW z;o7rrMgG^~o@E|KE69r4E5j6PQP!a)kMXTI=HFqy@p7zj{3$Rb?(d8)Z+*uiK0{*Y zF_$4`8VU23FiwJ)sm+o?`h*@`dJ)NQIs?QXb19-GM^cW-y+YKEP^2B=Th#sn!9Tw> ztR?y3SS*S%*`NMuYddBs8RDD`cqBh#tr>gLHj(U+9LWQHlYXkm7d9`@n_Ot@blE}& zr?b2aXKY!gi+D|FqCFzl2w>%s(n)!nSa9?GYJt zdouJeR3}$X^yjSp_*raVEjzsCSG;r%shbx3gI68Gn{P-{yS})TY7hc>6yJcFBMsZp zH$wdzXkyuXoa?|Vf;(|!S+@!Ax5-qAgYOka^m#?kr3AaZo@1Ba5lQi*%}cT>^c^$n zv#Elvi$wGBtBlwCkE+@HAa6)WPWbJ=S3;(;C+ZWwxhhYHE}m+;(AM@{B|Y86eKNj# z6Vb!K@bFr-*OSi`mS|0|<~b1CUAEcNd(LNP9hKyvI{Z2u*S!3|+jBzKP?k<0B8YQU zuf-vMtVi; zl>Gh7W4rvWqU`Ou%~-eXFZN4$$6Oj$w%%@r+4%G9t4LQE)Jj-iw(_uQf3ua`MoeV7 zYc@k^kbV?9yEmU-TZv;K|LwTPR^dSprfUsYmtMs&4fZ|pAfMg6@1J(M17i*|ohEGw zgDZsw?K~iAb!akUQsF`p@`Si;s__tHqCZ87TFy-DDYE$(6?vq@@T096CGAw352abz z{rJt8WhrK1%I(mz6OV{vdpUb*WUMauFt584h3JH3Apw^@wrw4rHKD~ikfa?G>d!bG!ivW8aA{>HbwUt?+PpkMF! zXxW^XM9PD?xcz}8-oA3+jLhPtYtEO_Nhq$AqvzXPY?I&QjJ!Api=D<7r!cZ6TOi%373bJYTqn0%5 zSgYja&Z|cH7 zHhdz)$z2;=Qjuy|>?SDBpKw5rC-%Ujs)BN~8T*4y_)=F%*wDAimYvQne(I}tad!Z1 z@np1Sv5#ujE?eCqteK-%q?!Qo=(|N~lCY`Jf@jyKf#6`J*BQG$YOWS7llxB!R5hOr zrI|Zmye4#a%IL#_OXqi4H4)_V%g(iyb1N!U9unqaHdCuci+g0zypX^kE6a=FCn>_} zsgGI_eezvcvuIMycl-2-dmPcYr;tsBN=m9vK$T*7w$?|nO}2t0{C4t!E{o43Y`4wP zBnJq6ip90U1?HNQdXC-G4f_vADKWyP!f9%-B+C>NtyyQqbo?azrPAa87FrHP>ms`{ zA^*bkV6xbHOU1FXrj`OpQ5+&>X4)`Z2hDO+MvA&fxOU@`zqDDE~ugB}${L{iJ=;Flu&6aLC-bEv%e$93G z28VAEJVTQtc}(v7AAG)rIs>12)#-wiv!Pm3iigSz8a3UW0F)u3n1-~_+2%I)ya3gBD>#zTA zX-d3trLIenOh?Zj^O0VSk4zo|XPac7lD6Rise{ldSG_{^z&UK)fHL|{|E&#;;F^VzZhFGr4_8_Z7*kK8y}&pAYk0grjvK*Gn=&u z;x=%%zT3ETRQJmIp7ne5m4R~3P}LyI*UoX*^4j-RodfqLqO$vviCw%?-X>h|xzznO^RD!|>41qP-g?b3 zrn^SHZqT7GI?kmOYL-D9FrN3qM$GH0Yz9ew*F&~!wQqOnY5RVWd?rKjFQqCPi}ce` z_|}`s1_F-9Tq9HAuG&!IFZh;-P5qeai653S9Wh(_a7djfv6&{p5Hz9qvyf(%IuSg? za6z6`I%Ri+!vjq!_0&+o9xJ`NZY#FgPtF;OM79zS?+K2gA!;S*PgJXzpJ5#_)hY7D znIm%+EP0W~4kVTNd@9atOL9uuN)*|>>;AIpN#Y5dJgr1ptiH17KV~#s=*`~R7pi2C zg0p{ZwkbY;yA|A7Z>cODxx|icZZ>i~gB#uMRBMehilb{|%Bj`dr`nd%+mt>3agI`} zxfwHWaD?HO@A`ARZL}M$4$BGcO!?LG4HtZ774UzAyg%i+nTu){Q0fCQj`==MV2? zHv?14NQcKylry%8943`Egfwtg^3`WZP>!xY>Vz!( z*g>qn+Y7H|;%M>BSL2Q{0WqYj9j-H9v3gy`vF18iNTmnQJLO4~J&|@f) zz%gPA-{3UIXrvPHZ6qL4Xb?RxvTJ%<*r&?+6W+u}ck9-LAIkOf{ZDDVj>)Y3swBa! zXlq0!&#jIAj!c&S>|!MnIwkh#u>R6~+ z*tezgLt|rvOmgUXpuo{j_hmQD?`t@hqRztensC}@FMFhDsmI(@oG0UH-jP3Hktpgi z((+9yx(=vK!UH(Inr_h0wEwC;QI#xHQJPV#U0sqXLH>a)gWM37 zo^^`umNucUTM)m1>T;30@d>5P!#!t{G&b+y=1iNS*Gam zJBz?o!X2~do3+Vx@8J%nqQSVn**=z$Wv|BBzZPsO7gw8}O3Y&8vPjwBb1z0(EU|B0 zR{N{YqGMkP#PpyBq16~`p0ADAQuugLbMoO< ztx*qSRh7HqgA$8o6e~3O!{7#22}eOHmV8aW3;m`ds3M;YyL|v?srf z{h6FB+_sy0JY_P)kz2iaVdv$>7VWlBM2_^SLb&4lnr0284s#e-gZJg0j9si!$ZZIMH4-f(RBP|#(Rk*p(Xr}tP-k&qq@MgFy-m$#S~6~RMT!co_zdcG>pw1{ZIZ| zpMrGU5&~)0+Hv!k3SDZMH*9_4Wj*YV7avyaKbcf@bzgKR%kL`5E=*g_AK15ig8hqv zj=6nGO-VW<XChmsJ(mc|i=bW8LU!Y0#;AOV>rr&ZLQ-MLu12H<}6a61*M~s_qsd3DDDGZr=8VPQt98 z6us13Ul)p&V?8jjbfl9l|6GupMCQ-_5%-{H|Gc&ZlsBHRJKdx!QRn8i@$+9n{p^Il zaPp95ZlQA|MKL?)y37^TY0J32N6|6IvtRq>zRnSpBQ`63eaUZ}2x6C7>vqR~M&Ssy zv?wF1Z4uWT%qpcHN1)lZf4%rk3&$8vrP>fU@aTrQ5mSng5GuM0a*}MU`AH_K(Ues} zsi-Xjk-qwsSN$0Val#kNkOeC^18<67d1yI50h(CcR0Q8o27?8wrNbcTcH%aHUiWL^ zu1ow%I!3`1rNM&IE=}3VYh6a#3-V>>pVw@HE16>wJD<_))#J23H$ueZx%JV%2aY{3 zbbu{$X~g*an)G$P>9#1eQ_CS1)6>L}u3%>|`Lu2(Zf!|*n4G4);>#89ZkP=}&9jx& zy_rPW%-EFsP!z>UV&PAGWRT)Mp5vR59Xn|_@UHLaK8dUgk(ZnSwebe)}{!Jx>pxzYhv8SSx!{I zJl2XO`*o$MSpSZ-*N#UUov7j$8{Z3tNM*}r`bGkIW@Gv4_YHk!eQ&hnew13Wfq!IF zZOEMW=L*??yRzsQI!dI{o+3J$>kwU_?!WuHGg9!W=z{C;=*U&-%QeuF|ER==n>P_a zTo{Oq_yTLo2G&Wd!oMFi<^A|^wW9wyS!|ck9n{`kM4^;Ebgt2J85_~+^>tU*0bl0o zpNxxN_`=dv?9F1Z3uYC4ZU50+T1zpG4Y>C#n-2xhTK!WA_2d12G@WHYlw14tRg@A? zx(1YPq+zIoARW>S!=Okv%+RSwDKSWg15!f|-3Wrx9RkuwcOxQ4eK+U%zaRV{evy6O zd++O7>$k3(#l6n(9eM6k&9_|T#_Xm#fidCTnjJqm+6>q=v8EA{*bjw?N63zXnW_FSPeb>~##gfI};l1_o6#vXn($2VOjJfP8By2RI zE$7tyy2f2t!tVb*o>v+mN`+)SexW6-^JapBSWa*j+UfF7`U~4OrMk86eqHK+<}IU) zGoro8$XzOJ-fMC^)W}f+cm1AqYlPM$YD}ySmcx}Jf^>xZ@e8hAO<`o(I>a{t<*V7& znMr*a*sWa-I()-)Ooa5fa4{MBbm2z00UA+;g$1`oJmWwc+v6NK=%a_o_P?%dr+rme zOyMu!h7OubU@ViQ zBLV2o7h-QEw&pFH>y|tWZXX4WDCel5GzHv`AzguNkNK2&P(Z_)u*c>*3@eB$@D!!U zk_mRQ7qjS`rc+C@qhL!qfAG2Si>YBnoaSVn;!<#Z z6bnD8nxe7cV^Xe31WJnbvN7M0*pT<26+wm+eAO}9n`ypmOX>Jq2K8VtySYywwZ_&|9?82>VsrGd-chSm^gHFH zGylvf<_K}y(nx#ie*w+dWc8BEMoEIFm60dpFuM}eF&3uI zoImki9R9N0wo^YvY|PrQpEQHg=ws2$PRpRAG<%=^9iOA1E?tf%#g+)3qyz#*!YT&! zj7+J8Ue6vPBtx=d+}#m+cFBlVQSFtl_kA-wy898n!^;uQ8nquyC;qk6f}%jJ&M!Im zsQY$XP4001{aqZSJ+S2yvb64{py@Pn;7$-t@*y~OmESGo&FJu`GNUY~=4#J>}bAJkBULfZ*IcRt$nLxM82#l0Z%xknM7rmE)n$aI0p+YC{Lv0k#!*!r@3@aZw;%O)smEqXOrZYs2rK2_D38?_ba@3(C^X&86a|1cibt#v&iahSy`OvtL`m`)3 zVJN~jd+%bnZWot?G927jx3%}y*9eK+bj0V2QsLSSs&9f%phd^$mwn!+QV(ScWUclh zT4HX`OU4^xj@#R$Cp-jJ4n+E~6GKu}pjq{`c%I3(>a6rE@GeWINrv2p2NkjHPXNneh`7Vh?^?w`~PJX%Y`ZCS=Y+ZpKhG-C(~J{z75x| zp#0$q%Xw7D($f01T5yVpWU`_@@b^t=Va_l=uHn1GR`(A4fz^ zf<6uA(2*)7y-5cd|Ed4t&k42YAHAIw$vJwZNd@D6<{aGscWL7dGnXMOX$`DS^V)?lLFAh~hb|rFINY#$6fL<3En|S5D$(H*iczf+~!6 zOH zOH`QAyvEJ!-S0N=tppqjdR-dGf+RKPVFL;r4+o+LPhBX*L4|^M>QWz@lx7}dl4R)# z=_>DI2-$RB%DX!#NulDzqPO+VCMEPP6SE`MkSz}0$JIcCd*LcvKy4R88gZ>*xnB6d zlZJVI6!t!wCgzP-%}b15FPPIkA3dzew6@36755=pFxQWgUES}f>dq`uFVyjpQGw6C zCxYNY;2k^9{miQ0RElqE;)hNtv)X44u2rCC+TT+Nq5AMkDHYMy@y!B;{MN6(s6E*2J zFSah(KPnO9Ut08Fw<$wPIGc(=d6_ndYiB>r7aXRk6=~_Ew0yP*)x`A(TbV>^QOgAZ z@qc0yF(^YZ1uaof>kPJqY8PzIvZv=zK)1dotV7RjhyS&FA9_yb6ty=~CuT#V2(je< zhGF}~Y;W{$RZ5-&iv(2=S*pJ$&%-lFU;~UJIUmaF-dh7nR9bfQY=DP#t+aqXb5vtu zSfrZ0(1E1;^`Sk!)6L}3JZifqkK2de5~HVJchnv2y(uz~I)#ZV_S#wWpam=^7lj(; z8viIxZq4mLC5XyHs=jI1dx`MIYtl)rHF1mx)K!n5kBLQ3nP!nHJp5UY`X`HA-=?j2 zJLpp%uK zJSVRkkRSAF*MFaagWD8g&aeGEs_xNmpQ?1B={Esh3noooCm-#%Xz;KX5L<5 z&!YrQtu3y&t=durBd96aEQ2&ode$#6MH5mI618#gV5It+7G3!r&~?A?&IzqrZel2< zc5p;9+@Mk{TO2oYxHR1NWX!g`%-N*ov!hj(R7s(UlVRwOkKB}oJ=~X2BSl2Uu)bSV zC(-b#8Czh@UeFOyd`=zma+T__7r&mQyE&0ue@NcGv* zQTtOxl-$I&=gsu>#$qA8ZOY|h5PmMK=PFv>ulr7-K0nz~G=iDOu;}9Gb zad_9LPL$2w6mOR2!E*ZIWS;b5LLk(EwlLwKM#~qRg-+Pttwms0C9}OW2Vd+O)dHR* zMn;cg7?rVKYxboTrXi0Yf;ks}rX`}}drAF%09pAi)l5izFGf>zg4CF1-G+4<>ZqO; z+!sZUl=e)(q=!r3bh| z#!}bnxy1`JS+|Dux|?(^gw1X%=k?yP=|y$vPWHewQ)t%V31VCWE|QtdBs2~0k6XWK z^r4ivhL3_`H|_PUgr`;lx|Z@3JhB&G6j3a5D_in&^w=~Oq~Usgx{`Z74T|hCj_L#d zM77z4{yY{H?t0lf>LcZ5My<++vQjtrau)br@1bNwNOc1%EQ>K(IECBuKj$oItb_2= zobRNUShp?7y)a0c+lBF4pnx;%C-vB706`$s=7ZP(cu=$$(cYgHUw1Xkh!MFKR^|C} z6YQWrti3`cP90u9o5Yv@q3}ZHq zKI0ER4y7~TGi=&5tPdCabkUzTlr3bBqBhMp*EV#qNo5=4g@$>Vm4^zHOI|?ADKG66 z8L$+^F76!tbWSvu`Eo91+Mt(P72$tZzlns_(%f%2N6TAvOdwnzL(oE;!W+aJ#qT>A zq)pXK=cHz-MAr<|KjpDkbF(WD|H>87Ikh*pBHJG^WOAkh>5FE-Vy4je1lT}I8S6jG zzjV5*wSp`}%B6}Tj_UsUGBo43<4yXdME4qraUhCc-O-_*GHLf6y=L8>UX*ODF(@(f zl*oa5DL2QdgNh(Pf1HssiAyi_8P$kiPxqRpILr^zPLn84tz9V{vwKGy2<}zj?+kV&4+za z+j&sn8-94a8r*{m9FvYS>-G_!g8vw*eN6ipRblqGZmiF~R^)a2woNxKVpAG4nluc; z>3xJj1S69R{1=dhtAF7P)x^kVm{U5gXRUznTa%_~Zh7vGBd`O96-7H>qvhQb#OvHz z{@fGBgjK<{(qapDvheR{(92eEA11u7H5(_A-M6TM8Ir#-iPD%^?URX2bF*VtSHZmx zKWHYq8_fj46{SSI?*JM`?^rDl>%YC(2siNm-f1ug9BJ^EiL;N~-1$~gK2_I1cH%#4CHLq_1*dy$iDk*v(8 ziGlaWYmRE;J9vql%v;9fQ2C3kUW>P10+}b?dWcLsanfFchGi+aJ{;mtPS9L~F2r~! zZ&6EPVzFlU-5h-$wZ`0_kh-%+SD{NLhcY-*;9<&>jNY|Jy%$E@?Ty_}4o|0x0_}9* zbPl*+NW-MyRxxt62FH0gis)NS_2zs{uVt4jLylL^Q=uD!G3=u%|W+T0qfzoToi>FAif?w|zTx6mX1)tm+`dMZFJKR>{`v z^J%7kldvEtQUB5GeUtHz^end;xBBox@$yo=`mNAq``ArBxVlP8dTwcymW?8Y!tdGb zIk^U@F>x9Mt`Y`Es&EP0ljfApOzuCe{-z<^EdqsET0hLD@Y5nu{fQn>OBi$J0)zwJ zUFD#2Zg*tu=TosvcBRr>B2)?kP4#W;Lr-%AHfrRS(Y!SoUL<=%%-36j^TKMly_&xY z(K=HP2L#yg$TdRh-dWS5y$KPK#bXq-S)#i0QrX{9R;fsJq2v-~_ zFTUMbytb9Av+-7tnSIX7Y4>8nQ{Y2$^T-X@^@Z#COVf256hKyZFP`7LsLK25Cl}8z zncrk%DYOQ}%JTR#!EXe-@@$i@#2$&P8V|sVQUYs@^NVxfWJUjTRr-)}+8k%>LOc>; zs(j;vBA>o>=tcGV0KqVY9u$Qsp_|+#A*!wd>IqhZvl<3OEINa_Umbmz2mx~-htbUSW!ySI8z(8o z>2HnN)5aQ1xSmeJy9z0qUd>xmGKSXuC<-ZVpAef94k%y*KI;_C`h(gCc%PkZTewjQ zyC}F^&N5kHb~pO`nm_YV+_-t;hWeAohLn~IJW-6z#G&3|oJMOfL^j1QAZy%uO6f~B zRgxPvs1R0{0_3S60-A01h=t83duc_>QVdpB;CgVdwXZcOiI2PqQ8g&NO_CI7OFP#n z-R>ps5gX>XC9Hq<&8^f+mDj7>@cpE|cuQt&5v65lBf0?Mx3?(VK5zLMTpMsrAc-aY z&a=hvVd);AVa^<_DBQ2!5Fg1B{aEUqnmAtE)dv5-lU<3-y_(gvFKLl^Db@s@^ zr=TeU)|`mM{aos`o+ig}N0))0T~qEKqkq0*#R*Z2R!{b#<{py9#VLgsXFWvJ-?MGij7BBW(j1EFP@Dk2%lq z=i^_np7W{fTevq8Z>=oEs_hXt{rzJx@2XPh^;+ryQwA^}Z$W#z=FND;0NN~YxMHl? z)phFjL>tm{-RkVUP%*;xIQ5BK*VDin`)qq$GF1DGfr8VK9D$8Mx`1N|V>A7tG4;%r z%>z|FswnmWq^I8VAW*xa)^e!~*-}w!V{b|0n4E>h5tilT2E>SK4>*(T>Rvr?X3FZo zVK%4smg|tg)?2uHEDE(uUP$lY+N+H`orMo6%zW{I@Ygr&oE@D!D(#bc6uu}t(Df!( z{no*IwOP9p`2W^&MQZ2g_Wl5n@zN;GI}bC;%6Ya9ni#BZ1Qdl0g6=Vfr`v^n3J$t< zZYtV+2&?)%b6Fto0)FKT@!o^Wyy@Nj!Y7~JesxlBB>Vkmao{&vCMB;`REHDHQ_pZ* zJC}bXjZ|@te&3fo`UOrHYN`G&yjGfi;?xD4pv$zeTV*_s&!3JofLpz9oYHP^{38_? zRH-ieA`L5bV7D;`!5ogNi()=*Io-z!BIonT?JW5B(X660BV$Fn@dZ!^LHYy5GD)Xs z=m0!aLKiK2Yl%bilr>MzQ+P`Mha3P5jA~a&u>8mbVc2oHCaQ!ZE(fl*4CR+FDA=6q zbU>Cf7e>T~ym85+1}z6LzYa^kNx-|k#A?pTld%KwTtmHJ(RrIt zv0eDaU)a?vMN$S#@EssEzTyM3$s5-Zs-lL`X>Ojqu{jVGZll2Re7|@mDHzc-mAhoO z`(c*f_}8O+^UyW?&%K2cI__e!5)%NO+@vqR zT#?s+2&0v$Jty7W|7ZlZJ`y+|JdN|bZgPbBYqd*^4 zBxE6jj&9o7eOm3DLjF|#_dBWLQ_jZuK7Mp5(ol~~u^8(f5I=KZKU!Xp=u-A?^E?b? zbu^#%R|lw3@13==d|_LWhga=y|EY*Zmad*P<>rGDjC7J!(PXR-ZC=9aNv%|8KRE|3 z;Ny<_iHsxwG~*bF#$MsA--xvg6hateo`>6h284prx$=tvN?evR4IA@_dT3_LuVGpiAy#8;%Gu$~Lgw)? z3#Pfv@}sgR2#7{;?~4u@OBZA+YhKtwLE0 z@@#;zPcs)OohPFMIunhmZ@eNCzrSp3V;T0)f+9nyJ0&t`OK+Bf86IQzSQ0}zMiM~# z-CBx2d1RIZ6h!igO=XAwZT)d)JJ2{dGYvdiu_N<@*>_u~cX)~8t-s1CSqch1Kds4A zFpb`nwzmoxFi+;~@0Eh*l-Y!GG_Kl*=ZQz-!c=7PX4HiX2=|he;xyKN2-=59QR~=P zO>}5{GfCX<=-+wK8pZzx0_27mT z%P#s{>}UCB?r4?xb!CNl4@h@}5(G=08oIN0DIM!CXoXUT1ilFFxK z?2jMVvQVRH1l;4wHT?A?IR3`U)=B`(iM||PbU zUh5N>a{qYXmQWjM{I)p*Wvw%lChc*69Zj=#Dw)mhprqvnja+vmuM@H0m1~2iR>L3Y zmTN@7aZqek(Lq-={J;TSuITa3E8*kdL#+Q_y*LZxa-f=Nu{jg7Iw6mYYJ|qk)yNP`ax*sXK zkBS`dAX|B=j!>W%1YC4NU|a7tlz$v-S@brAIz1;oY+@Qt$~iw^CQQLQu)@FqqB8VXPe6XY3t2L$o!**fP9^EUF0VsynvG1tMVCE(b z?jbP~{s7Cm+G>CxOp{MItZf5)%qrGcBf)fh(6Se7iMNWW8f#UD7STfDG53;n`vKRJ zZTw@Ky-V^QUaAWl2LP8dGL!t-u*N^WiJKMxaC`NmS&H6&>a>g_sdsUyAX*t6rJWD? zaWQgT3&OxpbS`vXZHtY58B|9W{PFaFHVLg4#X>5baz8)4 znCufJqsHtP{DKPZWfbZ1JZSyckGxRfsgFzA?gZUm?l#I*0Ii>-l-l9gULSvwQL_Wj z%ymF)$zU3AQF+u&Rr$p)fJ4LMIZfqRkt`didi>M!Gtjzc#}+IK3MiUoPkci&Ddp=D z*zw;^R7|Rabigt&OuQ2e-0JAdZyWN-cf&SlDaXH#qCG^cM*APj5YtxLYgzU-&+K(m ziO;2q1cZOnN+}RgrB2_9vZPKj>Vk6D`&tx-MIAy(3JI|w<%?WuC4)?$FV48Jj!uRPv8=877jki_Ee3v($Gw?jem=8-g=ryuUV7%y*UFs zp#qfw%qN%ZROBLBlzH}3FG8*W(gdmtHGy`$sPB%weg;MnB`?MX1Io2qlM~*Ps5%vQ z2pVg%R=j^x6_k>+?SZ*(xhp-U|8sq{J__nr z+Wqd&y$WGdQNZqjBd2y>>JlR&2oxhqS)7Wkt3Gy|9<|4>yXq8lcqEvr;41<{6IcxR zCGuH^)!FDX|wAjdNFZ@eQOr`EwH-e3#}>CaTQalqrf%#eZ9+#vuLD= ze~&veBmZsRMUS+dk$;v$xmlY?l1S5Wtg!`b?a>_&yl|d074>tq?@?a5F~TGGD#cfa z+}*8*-mk4{hxO59-Gj29hMG6k{kL9sUqo^Ix;yk_XUP@WzgZbyM)TocPs$rQjX^j&_D1w+9XwbZI5{8B_E=upG3JCj2Nv@4#_e>n~E5?5L> zT=Hx{?|E(rqC*Pcm3uZ_TsUkJ6MRr^CO!K~H6$*^kIH zb6>7BE&Gwpj&)`xVGT5~(e0M^{YX-7l~CVv0!j^{)`}2kDEvu`l6ltTP=d`H9EL=J zLxTv$5m0(CV|xoJq%bn3>nrAL)=l5rTD^9L(m*Hyw<3xlC2a9{x7jGWJ^%Pth5fq> z#tG8w2QrMUOBT&ZQRG~j=qzpPoU!M5ZPz+(efem(?Slu@W~GYB9A`|RcJ}5nA1fQ4 zxF5kBa`^D>o35(cSxOuyQPPQ1xyheBsDaOR?iIbOb{ZQtNC&xN3UWh}+Q^aWT(qq% z$!Tn?S4~i{gX1;zz1`+RrY_2+ZEz=RVrl>Rh-r|n?B3~yF;H#{G^#vuHTZ_pvRs5= zGG7P3`G~K6;Q*G*bP^BkfBZ4XJEgm^e|<0Pkh0nY&B_x}K^|CpY5%^L;u_|6FvjIG zJ+{VaW)`}65Fmdho{ITLQKpYbF|IL@;*!kNb&FkP@pPpY9-P?cA-+Bet~5ICE5L^H zM<2IZmOJ)9%kknjK_}54-xJ8jqV6#+`v{FxeNp3TF+L_XcgbMq!!osWLOqD)btP-j zA$LCLq>t56v5g8V;pR8C*+^$;=n`h~6%1b1B|_N7vJCNO6>?uPw-vq(Om&<&lwfRl z5~7(wkI$?8DzK74moGr}U*FKsb24>TU=Y?=U-B{#E5)yF@Y7zAxTN#=%`OElk}=-Pg$`i*n^FyT11u@*sCRh6V@FY$}90l=rB z;wkNuB(X+nH4v=W6oc$^&Wuh~_exVW&9gE?VnlyVk0l?-qO34Ywbzd6M3-fWV}9Co zzcNa5<;*nqwyC&bbE7m0$=Itu>h3DseSr=f0oDQVBh;OhT^S0 zu?Imb!z`fWC)gEs$XbOe8c=fzmrMWX8mg559*Ty$7`dl!-_oySz4tKFRsmhyMe)T~~Wh zYb(+q5!f1oJ!8S=f1N3qyS+sVY-zC!l z+zq6LnXa@;m6$_bU7fKbS@$EzP=|jEYax~N?PpJ1N$>5KCVGwBiPoBnkrL48?K91h zGQi~4fv=vIdn-)bHQa>p=BO?=!OYHX&d3|%XV}}&^IzHHTGE%vl#<`IdmKgoQty15 zv#4Ru6~TnZ0)myNkc8Tzu4h2@;FE8vQk5HFWO@TCIXNo+e>!Se#V5OF)PR`Lo9JzL zITc5CCJsbnw4JBaYdJ2m#yB$7!WV85_&DnIc7Yw6O&ZnEapLfOiBiKPrF#Mc-@9I< zq^72&J5B85^9$@vY9NPwZHCr4@CSy8-dEF`#mw2GCmVN;VmOfCs~R6(zh>P3yo`B! z)3d>Qugcy$#ta8+V#u8yv!B~Vmh*kELz`Vd8R6Y!>c(fwt%Q|-q6$1hXtyLHE!w^) zioPgnZnm*6{H5~kM^_&yC4ftPR^%(kiq5WA7MG1h=Zp$^O1rb<&mSmAdVyQK|M5%u zpx@{@l0cKyE9UaV`-Ktg;>uOdPRHi4yIZ;SIegj%UGX|bes3>rpCQ&Dh2rnWGcIk1 zo1Eq^4AezZbmFRRMh4yGLjQ^(buMER#k2XKzdUOHAYf@AiE)=qqEUL|f}0f1SG`lVc z+?w2@;Ww)b){b?e{T%m_6rseLV-IbL7%a-Li)y_nrL`6k!&|fJ5&HKF@tyeF3Xf}V z&v)%`KP0&Ux?X&Zn|iwJCL~69JNq%|O`K?bI{vIpilz*2uqX1nwAWl&b?eqdU_X#d zkz%4TWGWwzPBQl}Wx^7$?^&uF-~O57?DGihdEv+oU`G~EyN#uD-W|H_BoJa!HV+=P zA?qifED4eOBKmhhX`a8x+pW^3iQB74d$cC|)Y*u_Z{Z2q)ZDeJSLK!b`p;{@>xI5G z@|bU{lOC<_`*_TPZ-}HDCXI|R23!Jq!!RjTZGuD#8B%a>V9LudegVCYp37#p+WyLy z90-#-zI`>Wk+tsS}Yoeuz8t;yeI7)FNrs*}?LH3!y$Obpy?v|`F!=YZRuxoVU! zIO>Sak8qX3*@v0)`TI$6~ZUx$_qg4mpkpFFNx zOYGvAVQ?cOtYQYAu`Gu8#e4&*S_UYCe>`v=(-2W0_m9efzfwjXJPG$sn6T%nwF*6S zqA^oHUep_yGmOG%8DI)|%*EJAAt3Sbm+Q zg8+YmsF0ZozQqMuMFlh)a*3!t{b{v+z2>N|ZmiM25&LD9*F6R5s_X)2#6u4y>x+2}`PB(a?AhS!Pd{-9?f^xIQN1dHw?-9T64QueW+?C(0e0&9Ij-hy>M zO3BGBV$(4uoZGYbi9FgMscF`y@~!bJ-u_XLOIvUdmRsV~7HATumQ464%3&q zU$u%3PR+rhg5^W0KlJ5@fSPPLv&aIse%wUnkY&JksYRkJHQc`|fjbx0jKkTIy}ML= zlb7hz#i>v9s|ActxL((jpg79)HQ;&TaskOh3NF2g9lBWu6`5fm*G30|m*WZ$&q<115vN8^i^bbbc3F%(yn%POX!96?Ea25!yR`}xUX#Fbu~`Ti0iF(Y|pfT z_ZoUcC`+K~RKoGW_(IeKu+r{oqMEKG>lWud4SCdf$?rfUvogb$i={!?Js)zphba=$ zB|=KTo|ECkTYN~WN40#N3;J}$+b_h`EkTG1aHuUK^a!snhAj2XUqU1HrIh%L&LCU) zu)DE3udCjzM@aP{&6Tt0`*XfLec+Un^w}r_;bXGiJ9MC}LA)!Pbhl3KJCnV3mDSZ}CRp}qHbsm&h5OQz&+?BXt~1oedgG%zt6`0` z;pOIB_)3aTCv@U|M-#~nbuRBPRA&w)-7?|3HDY7k&en%QjBsd*0;hXSqhmu&T@fkm zmj$%SS#`AdnQIb{SyF1%t4)WG0){)>o=LK zcFMXvwsD7t5@=bbw(jQIxV4(U7Sa48L?2@%FXPBm5XYU!g9XtMAh(_l<;D!wSBZef zVD0I?D<(#}VhB*;Q6JyHdh;?=Cxt&5+SpScI4v6S24Ym+=31@}-8?{b*w3?rwvm5eyV6#y`uIsH9`=rEn_? z&Z!Iltj1F2`|*tBo!M^|Pk7vk0waNMAbx^2?Z@g9H?9Rfcg(w66`~H3MZyK2^o7AB z2g_3KRBBuo|Nl0V@EfE0AT98 zkEOR$eng5B>ZT}!PU;^A0ukggNlM%|3xrKUE)FDLSGiB-fhY{F|Ey9Fsjt0h5}8%> zr~LlP8XzZ1eqHxSH6)X-7ww*8eX$tg8bATUJh?Xyj!Jjy7F#VdiJKdmq5E3 zWgq;d{_BcWSS1k5^6on+>y>^gg0ktu3EbLQu#Sk@6oSVd$sNhXsmSDv_1%b8)FVcK zZL7b9?117S8iU@64VXI9a_}fEfw9o3Mb`?p>10z*5{lf?D$!??b6n@DCG7y5DP~=r zy5Z?vU2WYi)RPG#eslN$@@3l0_md1T4n33#3;6A9k`RO^3W?)CnsXT3SE&uirp6O|7AQ74;UYF2dd3orFZMx%fBo{ukpTpPV>OjBF zog~rKC}3Fxx2&Jpahi9`{Nz#z%-G90e3RCFkM5Fo&kw7{cGlUQo%ZR!2{Q6kiJAk* zv|>`GsRlnl_{r~N{6Ome%~KFf{o&B1U$^3(RZihKpyv;8W)$%Fj(&{aFMn>^-w{q0 zHzJ;n<5KRcN$61%Ujv@#rp^?1_+m5Hb3zsg&TER}%jBQevj1(0#-IN_4nFIBi+2D7 zGT$8^+t4HMd2E@;-k2A*_1XzcCGU3w$gGseTYSjAyW|uU5A1FL@ClTIaDn`1hn1sR zKzY%ZG=UhDCZ3G`QC?v$gf#iORt@_8$4~G5XIN%2hK4Gw!H>kY^|ke|M-bAfY-Dd- zy`fE_v|DxO(~A#M%fX9lJ9zC+rR?sveX0Pt1JAMH#~Sjr3084Dm*5h~po?m>o)$7q znAl_Y)DNvv=6t^8(4RBHu}LZ_T>ESAUys5P=Lf}=cK+mGCQ3!2)NQ?2Q&IbD)WezZ z-?6v2Gw7ck=Oc&dAJy0usB;Yy;YDUz*>I}%JGGgvU)v?J}B3R{R zLe0}HP}^V^)T;`5*Xc*eKOcafexhdirs4LeH9g@-bWi>d6z%44-+H{t)}{$h<#Cm8y{&3%t+U<2CaD z!Nuen#;>=D75L(;3+`4?_qGI50{<{b911CS$=sl4e)j|FTI&8PIEvUMQ-~Mw(TQYf z#$z7)Bg7zPj#qK%MGuTVk+GXV3An7*>0MsbpgdEWe8XgAqxh1KiHC1@gBh_W)IgVL z1D(UVmP?U22~2pntgzeJ&p`G9$Uy7|5Q$k%9)MQgA>o=v5(W}rd0uB~gy>~QXW_wH zerAR4I%i(&gv+S>oXsTo#n1qk;d0a>373_hhHj+w<+!p98!;3;k$rJ>-{&7$Rqv$U zn9}b=bCGmKWq&-nk&yDh6ZX@gu-^nUdi`CNy7py5X%HN0J&_YR<&FWf9qi0S`i2@f zzs?ac)O~HBRT?w=Wtys`kDdztV+y`Oz9i9JKi1!Db339<3AZNP05VE^i>d?S*ZPRX zz>o)UgMmvcdmsE7+nvzs^k@k;(YRJ$vt&&&{+xi%B;TQ}$I4gBviJm%AYRvTMFA8& zJ>eKUzJU4MTO}{~-DcNAY&-9fQI)>X5dy^z5G*U**^caE^P$c+Py2khBjsf{d1Zfp zCXWf1Ie@me&Crs5ws(yKj;@)8Q&c_IGzD^nezkw`!}0XzFb8k z+t98?94qm|*ejqD?LjMWh!mh0W8$~l*42^ra$bzZLn7__g z!z#olYCA*L)J)3BXWgtcxs}|ZRn)2f2u=>UbkpncWG_VV5R_ZjM_c{h;1ua!4kl1k zaf80JdfU$3Isl>=lclA*<<@a}iUVSrhW^ErF5ewPO|#9ZlX4fln8`rfogN+P2Njol zvl5j%F88KcgEv;x+k!XqzB0~`&v@5G4Tyda>2r5Ee~iRl(+KQ39zU26`I!*nv82GR zHML}r2`s<#@acJyOlw}1ICq$CyVOB*tw)i~sYEt9Ur5PtPD%9eU>jG|DLae56I=`l zO~>>ZgswUO>FQ~VMGRk-7;^ly%b!3bWyAw;c>kxcC{sRJnyEg;+|RxLi_8j-+|N~b zYJAVyGXn(t@TWw~4uzJqdQU8=xkrcK)%nmh)3Kp>pXf<>n6fSDHfM=Y%^6XXn3X^# zX^UXet+-K-G`DWgaW*#@?kMSt^1LHif~Co@wl7->ZvkVxkN-tePX$5rW&*=5PWNy? z1dP-8DTp@CS0DbV&}-AuLwGB-#}?k{pt9@`;Y2Re&9{e;`E*W9Nl%Grks zG@-o1O!-Aw?p&kK%C~WF9+9|b@6!=}f8{oCCGorITt6PGv>k;%avzbq7K_I*6XDXybr7~6v9?3M*H5h%9uZRapJ9^p6k4R<=^ceM%>w{!4!w*|4 zcSvL^qAt42yE`;s^G%J?z;`^_;W_!v=n7dM?ev#+HTqjsPSwo^;)Rl-*ybiBC7X?n zB+MJP`;1<}!?7HaAR7D2Ar(NFiMV28PmVJHXnuW78@ z@Jh6vaO%K3aw|5^ziZHYKj>X%fdBNBNr# z`di0)g*wPT^}P2E%<`G+KoNdvU{s*O$LQTAg~}RmueB{=aK7}@d2?Q?x4B7a8f;Zg zX$LAs&kRamhRUA{e;G=PRODlgqfmf`L`Tfih%e-|cbp<*RRLtxMvuVjy{xI9SxP*f0GAy6&-w--6y;NI6Vd56!kmQ+m$%!ZyA#a9y{RU9ZL%qZ zU}S(92Bd2BJc!UVg#Z&YsJ1hZZGHI44iIj&bzkS`aZ+qL9x4PH{|MEs)iTS37r+i0<+|d`7QagfAO_^x7xQN{HGPN9We#6+! z(LL+=i(c6wDUOC^Zth5C+5@^Z=u;WHp;CPn0=8%FT{^?`e5bvhHMEV3P`wTHO>|jP zZPNABggh!~;9&v0;=gG_lf78|lUL%*TmzrtR)xg%<%?Y)+B|2zpMN~Ak24x6xm4VM zvgqJqW&gRb+U}lTtr0j_YEh6GE;f=ys7|0gVq6Sj5tb(L8~BNgxuYDC5#9(f_<3OJ z+m1J=EtEx@QVN5Jl|x;P0esHfqbRi*Ma`g@!DM>36@f~lEOaIK^DTB+ATaV6_A$7T=4j0$5^DEx z{Ay2dV`6nlESW+GOl?t@H#hEp56CQC4lnk7uKDoW`PoJDw6L^v|ANob(DOg*&#Qe7 zpOt_5;~x9=dP(s2{jfrxRlVN|?*X2f zeR1o9Ur*ZLRffOa<13E7;HD8iJg08;KGveQ9Z);>ie3tp|dCB%V2p!zF+n? zFA|HXTa&19$tw!2+8Bm1o}E7YEZck<;o9!9t=`D4Rk0(4ylWmkQ;hGnQA?xKiGt+n z?EO0#rwx-jyxeVpS0nyA5?SL~Y9fFg#_#{5o}2;?#%RSF(@Cc2L$fDikhPY_ zE?XHZcDsSd`h$l1j0-9sK3o|QN9(fz8w21;FP1G^IBdkaMohPLK=aSm$Il%*6(uxE zl6uQKX1XXD5yPXn3|_wh5>r?7Y{RPcZ9&5UWCQPHR0(!AUe8G&(`_Q<{1BYdn;AQ{a7}&c#Icx1pSw_RCi=+U&e!(R^sr2 z#5HivXTX6g41TjWx9(X*zaI=Kd~4wG^?hc~FRf?1`;C?8(~A3w7-E!d6Y<}pdw<&- z+Rg=TJiF{SISIKJn0+yiO?}p{`Rs(^+23E&9)EvdoNm7Sv-$78BY$NR6B7$v{^IlA z1n)~t^nUIzhDT%pCm@}t8uGmGl|f+L%vsZ5;D zf73er!9U|$PV*{a(sbaUb=^$h!em6BV8``$Z7z`_pXdxqe}YLsE!3i)=rpyFAP{Gl zH!@QCf?o;^0(*KIFI>o!R7Czzd_dvPuU|ZIq#15=~U*E$LtR`OYRk- zO~Y+j!>>`A6PS581Pho@JVa$)cjsuIjaR027U~b-($5aiHa&&DTocJ~!Wh5Faz(lOB+^OcTRG=4$9getcdLEe?2@Kev{7xl2 z7Eup@+;+C70;aCVh#{yIH9{5mlY_b(7WK>%>LMs7BDuJ#99C%gjJi-}%$k(=d@XPP zXZt%Zww8I-NIh2|PSMKyaB9=<;H~HI)Psx4Q{AMAEr27_v-U^#@*8!=5*_jxMC7SN zMCjse@hidW#ThX`G99&6s*^x#`m?FS3#2IG%)B-GJ&9PJJic`hG+SeL&u77l_Qpui zfd@SVBD>Q#@aPlfbXX>i;6dQK_pZ&`wOK+^=r74nGc4QUQSNQpQ1{VhGab%`7!noP z)whXeC9>TH!;Bz8xpF-7L%2r^{X};C;~0QN?2N&Y|0_JNc9!Q9cRTSxf6*w~vU1I1 zJ3J4i_b5z?4?}u-nqYt=Zx-Q`&Ve)m>pO*UgEld-KdNoztwG=q#(U%T4`fcu863)e zSH5OkJcl@JOZCNI;nA?N24r1=1t`DDP!dBUzop=Qjrwb+Ur!^N*ap(g-vFJlE&;?O zx$lG~zZ(#Q6jC*VQVo4nhszcqleV`0Ee`B|ibh4o2}9 zCx9`hKgpii9)WoPv_msY*rKGUja@ zztT22oOl{IY?=X34HmZL_m8=N=g+++je3}_V(er?ua~nm;Nqm0Ew0jIbJ(CYKu(6U z7Qd4LC=o&PJgcbv!K};WId}OfVvE~%Zxm9 zYrj=n_(nf!K_LPE0l!7C2)*% z%6TL%v;6s?p2TBcuf7|VbAe+TIgTl&aL6nv*?~j~;Z0ZS|KsGChT@Z6&(Du;UJ9B! z?hI`K9$9lctB#ua;b4@YWlPG(9MAV5XW)4^)16v4a+~+B=FNS^@A9LyOnx(lM;RXY zlQNUy==#!7Rs}{#1ml{H+dCeQd5W`}g+TzdtuT}R+A&tK%x!b@;ctU3jiuY+>%Dh7 z6Fb((Lqjy5?o4AmUx_(Be6X7g-O@(&j-D-DPT5rK!umj|^A*c{aq=@^Zg&>uRK7YK z+zZOym$66Z!r@k&pEZ%1@pg}o5@1xA+FxnS56MlgaF6E=kLML>42gq~aehx3fZP$p8K(Hj%pfU8iM+7hb2g5S7JY6U7P+Oir2)3=c}*BrFPtM^3E7D_@9p zEL0D?BERI*_s8Xh8n-8M7#fSqi?*k3pR)DD0w;$R5^oiRuZD-5;1WCrb5iHK$hq8yf zgDAqQjK406S~J^GRdt>??MkHt&RqZSo#x}>vJgERrN=i!_WrfSoP9@3LXus>qWxIS zmF+GoQB>;E_6PSHv2rf&JukqSIejz9*4Am49qykTco}+oehSvHM8AnzU4en)t7k&K zEQ@Ho80@~YpWkz4aWW3)c+!aclk1Zn557$l9yHYU)#b?QVSIhvAyRJ7r!h%2dn;Ez zrvM4n(A)$+wUDs0;nlfGoBL^BN*UCUSUY_?UsLg{zI+1%(Z`S9iZy-sBVFV2eYrF8 zS1+oL$;szh1nf&n@v94N)(j^$UzxDZKJe8#x@Y^CoRXqOMVWSET#>s%3ZaV;PADWV z*MHwGTX#LHpo{L~aunb8-IjCNCrK&pg~aI3F*(jPy$HhFTcJnIM~>Fh#biViLTjw@ z+ajD2u-d6jt)uq&ZK`i-x(?w-B3s^5^&$TaOgu9O9Cgw=!{zfk6{PAp*x8f6lVcPJ zX=^sG)5ULMVB1-_pNsHx)|Qx)Kl*7OPuznt?;2W z6Bc?~8NUlo9DV#s7lSCZSCUYLJ??2ZIy{)hCSLlPyet@@`FQu$&` z)@Mk6X^g7f$-1wqtv+tNC;3uqS?eJ{TypRsT_5Atj&)sywbQRRIx3SJ=I7T)FI9od zwayKrA2^o3Q+}teLehjaYhhM<(h%LMd^y8ugEMtJj+BmDP1n@aL_~dlAp(;OMS0_V zre|3wb6$W^ozQ<1R>!RIIaMDmfYn-G`k`DO#Kk}MWz;p=0Mw-IOWgJ!rXj z|9iQ@Huu9`!N>mfKf&%VwUsXZ=l`RB6F#!R^WSeke__V=dxi0Ty+?1`ZV*NP`BzLnzyGHNHIS;d7SHGuGx(do`gE&-vPw#wv{e$z!Bko1|q$*Yyx7rzf z`JH50l3CD)?rC~|>l$xIM@K1rTznF@R>1Ul@2O$W0ySR%%UDXIt`y*!8EdpNb)Wrd z9sw)Xm{{5Jg)mJmt@U+Ft{qFhWPi*x^Vq|m`1+Qx|5Fu)m3-%o{RMlm^aQ+2!Vp7fHvE^%U7f`OXd{zadSt=ThUf#{g&PcjB9B7wA=JcX1A5m28a`(rt~BC zjW++rqOy`5vCtL~5G~dizUuex`p5-=)m^RLEpAsysjP=(HpyFa8ipm?!3oAOi^;m$ z+Dn5g`2{YJVEoH@mqq@T0QlT!JeE9Wgegz{zT^1kyid|1EDA%lX1ffX##4xX!ZwMc z-uzhs%jrd{ztRDmSqzo?_j?h-{MM#Tt%-wW^dDJk2eC~0NXHl;1xC;?DTNQKth+J0Bc3$Hj>IjPF@PMv=!oIIku?|iZr zT1siOlyZ?#DLff@rKA+%%oc9!+Ke@+xVtR8t?k-eIn9x=D9(HVDdW1f+%2i3)MPlc z+9kNMzN|`XE#^Gq`(F^|mtL@YX4~l7dG|J&)Imp&nDnMEn=++!O}xiB2`Z~?5sQ%# zew**dmCabv>#_9usll7sl}#-zi;Ho%`D^ONsu(O~aSOeXbGRP)ohoqF-}MaMIv>FqeKr(E{2lVgR{hgV(sI zY5g{p`M|wdDOl{}au!CJJcLm_w`;yLD=OP`B&HzKR~jG0Dt;i=X+1rL(-Xh`D1JCXuO?)*(MoBJxn~O1*q&kL{QdG|?l| zXJkztDJ`$z??4juJtc`$a|a z<&g>t5Z)d>zcETGw zSyg|J^&|QYP5YNYKh?>*Vix4fqz$$9_w!Dsc=8kdCKVGB668Bdj>_Ce1-mRO&bold zJU$`eRj<9onKS2#j8wQvU|MT4%9g$Bg{K<|&z14JEFQBz;7Y{BxxI({$=QJLcjWEJ zcKPJ-cWPr{94gkc@nnHBRJTo^eaVhCzhz(YA7L{cwlk$2G_ZpR<=C~kGGXvo_PKt~ zA%7OHR6K;qkME_0U|SCrd67nvxx zlkoUW=TAj02w9%#%Xd(mlX?ICy^kp%OSRs|J^Q;PA{?U4e-E$j(7xOdeA21>45{Y0SID6Gt=7ESfmTm~diDu+M(jWhVL0izzK~p%$%%+2;jDqE4dawN=4{m{HrmukG_^%slAf?a`42rr4p}2i#l9g-MeJX$?iy>(e!+UNg zHVggnJ*af$hn>Ej-mq@KxbC{J8bGNQa7F72;_9^%F`v5@O_|e}@kUd|;(on`?6sjBp9)v+?7zc{y%^M-Pwq`Z86 z(%_O168e-{Hw^~~&|gYP!V`Yjph;LOqImvP5HO*JckwY5eHUI*Hm;>BJ1SF?;4VSx zQImfRXmxE&RyaR-YRU#~H2~bH!cF&~8lwe&oSmI5S!z9c&lkzd!`oE1SMUtZZ#`8q zlOtKGZYF3DaDKVTS|v)i?AJ|oK2Lyqi&t<?o39w7sghTIN$j zI+_g{iHtcSG?|_}J8qOwtxKmuc6_}4VW~U-g59e>yVZA)1R-hJ4|Kuct9&Rxr=r+h zW@Q;xjz%VFJ~p+#vcDK)40dnYv}rw9^dkP9$#V&V8{k1)hK@y#Jj+QbWgHQtR#hwj zI-D7FY-_L9nuPg;R=@Xgfpi4(lqkbN>dz8VQ|J7Rv$}nSJ>I-|^TN3Bkr=ZeH91*n zu4kNYXmVoWYOe}3ZCTilq(IcPyWq*&b>k7lzJiF5kPvf6-w!*LKAZJJ2FXcwng3Ua zI1|ET7YE7Zabk@ug)=#glu#Un4T@yzOn8W-mG{bm0KHNm*_nQ_puY-U8!IsM2xepf zZf!Qr7Am1z+a>M=XhVDTdI#3-#>&Qg=(J6{hkLjyDJnTPxcPib-ostfmM7f^kGM^G zXseOx{3GpG#FZy{lzms0%FBlzu*vj8sATj1J5=7jeb%$2!lbs6Fw7yQr;}?y{S}j{ zp|ydb`bX)zUW+$st2yGbn&4-;z zX7k~F%Uy;W;u8}MTz2BFK`@y7)#9V>m-KuuXRZ-RaQg+_mefSM%#msV#%HO3U4HXH z0%NJZbMkXo<}!|<>qJLcI7oQml9#7MN@$%qX~#t6EO67daQT%w9;eMuPt7+@7r}$` zLLeY|?AQBZ&Q&YN@ZjMdKa%% zjS6FXgD|xqs7C{1-a9MA8KdHhzBsaPS&7g2?QI-*7cb~^?0c}HxV1ir7de2iv+h}ewF>}P>)~OnHNQD|Rr7%VQ(lRx zCIm2X{;6*11KHA%9ZFLg+GgMyi3co%`b}Li-FVx}D;}z!zqMDyqg~cq5S#$yZy5lx zSuellmu5=K5Jh*=={7XY;xj*N7Nqe3mzXXXvXt@T8_0 zDwNplg(bzmJCM3Wf9-oIMa7c$^+2`4kFj51ENL^N5eV>`bHftC73YR40yo`AzuBTp zHZobsiCbX9&9g-}j>GR;0F5j7?|_}`*ZXjzaO5!$rHZ?}f*VJ<6tEbD{S3wX+qYfX znAHw%z{{-&DcrKZkX-f`@)v}2?*C*)H45;o`v3Vi_e=iC!nSAcTz_26Ki>6e6Kf&R z?|-~&`s~L4^}+v7e@xBRNXy=Y!7b=Ql8+{|KI-`a7g}Sp0$Ualda5`WUOzR74Icr= zxtIAfA!9w?d#a-tj|x-Z#vl-)x|YVg_k9wT4)O{WA&zw}^KjS3VPRD&D@vMX2$<$$ zaYj|h03oH4l^9c4#s}GTRKSf{;MS&=(;Kqrmx=wuZR!HX3;pDBa@n98V#&oAqE4Cr z;TDhe3ckKx`8ig(^-lCUr+J9-2x}$60c#&m^j}=|6buC@I{9=Y1rxk#3BKgHcem0v z%&&KIC+3RNnY!c0gK;|YPIi?hdn=`81J&~nVAv8taW3WnX9JEP&~iy zv*S&3+G z(#OI|Bdq?j0C4)NhL~$ZZh%-NR8?Cc#^a1V4xq|{8c;ax2k;_a`mZd;2^N9XZ%@1! zBy8&wRr(#qhyWwdqog_Cq0eh27u!svw-ATrt`gn7Q%Q&kW%-SZ(&wM3jty4^6=pWp z)NF>qg)QiBi=ZFSelUA`^;MvF&o?^-L~Y~uy07-;T*fUzzgz40&{_!w4=C2)@#Dwg z)K#bx-ZKLwap_s*i4hn&p{cofp-x_|jfrMrHnJm7D`&8JX)Zf&^4%;BS-sP$}RG)Pv zrYL$Yw#Su6+hrC#zW$*Gh`AZag_V0r#P;Oe{=qU|UpJA89e^Th{C0lY?^fKHC8ml8 z)@V|>O_g%)W#KI*1+Thu9oRCk%t@yFoX4+ag;t-g+}~e3w9RY4(Hn6} z_O=GdpmfuE(>4qYcaQ1XFJ14kNcFn~ebC_D&=Mj!BUHSc@=LNgfTu*w2!`P!@# zsmDBG#G8LI)%TRRcm0*ZiA1~L*TGj#6+MJU(0J`UR`Wp!q_UQm0`%c+M!vIopjWK$ zhZ5oekO!gHbQUg^!~f?6828z$?!N{%Mr|IVYaw2e>7^8I4$4vydC-?yBdk)1Xhpzu zLBMo8cO_8vIZs^DI+rGZ7}kHULkl4uq&FCLwyqfBmJR7d<{HiygM+wdeQ>*0<69Yd zun`qQ0hdKi{230Vc^34-Lb32dqKg1z`}Gqs;nX!$))v(wjsPmi z4!{JoHiLb~;Hj)WioHb?ZRV0TwGl_Z(k`VuT9lA*z{<+15HKDE;@OTtiD1SvNldz` zwhxx1G>H@uDirdf(FKr*oIylbho7+Fu{glpx6RB(3;T*0tJAthM~P5=5Md&FVhYGT zbh;9-ep(@QA}PWPZA@>8r?~9EJuYoP3e*nOH64$+e(xqC89)mboMvUHUY@lCo5br` z-9-=&5YH-=)22+HLFjtJ#dw?%aEb}E93T=+KE(_8{5;GLF9gOGP{Pj)mL(w`s5I&+ zBPm(kEIZVMvRQ>v$+1XMWs=nWBA^h?#}<@6dICQf?C&UbP-*Gg1wSa(lPL4d1!z4k zPID;hQlRbz5M%=g!L8Jz8h7&y5J2;zHkwYroAwJpa`a}K<2m~%6SBB^m^Qh3Fs$w= z9?-ob((8}_z4YK)(f|$$S~)p40MxLN;^|DqIrj;;EX@~3SxPCj;zHXW+{CmBto>9k zCGZjD%;tu`7zPVr1VkTR95o47p9f-2lf!xiW>Qs|);VI+%KPwVQ~_&JK}K(~R;B4P zP}MYEE@yT52vT&gsW^>f-4}gSE zL24h%T^MA7x~G%6xaY;u5l|=htzRLOwua&1+or1BVX}i?WkK!`?tN&_t7l`{BMnfVR~VOv{RJoKF_ zO6zuK3^8VhDA0VHpkJCJy#YSW8(`U2P=Gj8>8F7{#f1>!LA^s7H3Df_6n+jB${`|X zxj*kIuo(F*)Eaq@$AIXIzLU?hzmg+he$%Hs)V-|i?Vm9z0!(vL90t1MnqmT^9%D?~ zhuibANM`Y`6Q_#Cc7N{~~DAR~^O40NM1t_b56->2Of zc=$9HkYaF3p7{dUMm)V& zAb>I=I3avLJ+t^}VBiK8@KzAuLlwtIbuvcRq#iKl(@Ae6g!uu7c-b-K3^;P(qi)$# zZU0|7$ruI|wgH6$jxmiJERnyK-suJ3fQNj&lHNI5GPHI|l|I5zPf7*_H4tT6c7*>- zeBgbh)*_IOP|Ru;8BKtG%&F)(XW`?Mh@m{e+y)8;^>LljUlA{hMg?N?xe7Lu`Hj$X zH%?4UP(Y$?f+h!12xFTquy*y0(YzLb&JeYAL(Ue|qCtHf>yXn+D)*J;Jlix7j2ve!IYd#DEwnE$WmurUCT`R8dB} zO^C|{{jO|IzI}Z@fj{c&HB9CoaGwVC9oUTy0^uQO-BG`oHcmQ8M$Hziz+LxMSKp{^ zM9IgT7hqg)YHIh}xo&wqdbH*KpgB)HSL*y`wDqV(NkB4^aZLZr(!~bza3+i@;s?8# zj3FlNCI*K@L13F1ywEa)OD zU?t)pP}Q6C-Q3((0Q3^WP>Rj=_xE%5twO%oBS(;*OkRe-v94txyqukzn=4w^k72H@ zjE0JvoS6fx`N|(~T6j+u`mnMysNR>1QV}*5WjH9Lv~bc$Af8s3_)NVka{-D-<1|OB zFgRNL@P6Q#Q6C9 zPyw0d*IH9ue0jdpY~-W?=u0@y8r~oFGP3}+-w(#imQ87?+gk&?7lmWXv|Lp~7Zt0F zJSbxYYo5%xq2*<#<26%9mRTRl1$oT$R5B?7%%G8xk-ZTdVAmlQUG`%L2nq)iMDTuJ z29UzJm`HC#*aX(v1o-mGXF5_>q*TB_Te@6Nr-I%0RIwbg5B&v$fzlTFeX3@P$hM;5 z7+Flao2q?^g9|&6?IPmf05}_FxVCQ+J` zY-*)9JQiX2htVk9P0#do&s=+r%#-5Us7PaNMFo)dcf_2|aA zpsFUi^Oj5(9^9{I3U7i+4iTP}5adprm^%`>;l{p8y_YP)cKzP2k=1$AeT77O(|$>I z>Z(G@Ri6*7)5Wgt?%f}LrCslwRGCz1bsGZUhSw|ek$!hQ#5`R7{j$Ma8QCNNn()SE zy;U>`fRqkJW&FpR>69PcK@(DA5o;U;>Y3zPdgO?NKY?7Ch7DMK>q5A{Y3DGo_$`UF)dkuD5Tkf?e(%k9 zQ-@NZ$!4e+nRjIv;*oJbuwtjLiL}?eTN{i#dM&vczC0rXoqHXl>IGOzDMRICl>BJ0 zAO(DqFFNce_x$Dujm6O)EH-99+JRr(#`j>ThVSl5s&`-CV17qK0Z^|Hq;@8L&N*k1 z3BSZs;t6ufwGQ-Ld3Sw!Y{%V{`Hg%oOuVf|zl+UQ4Ks)=Qvlvh+*&=7&zUjBVe8Vfhy(;=Nm%Yuwysq0p zfS0#_%DWEHGo5e(2o9UOjofyia(F7KC?xo6QZAMmo2MmsfcKD%?Sw5 zV1(RrE=Pu@A)NC4@=UjFUW!lCGtUN*w9ogZ+BJwgL-**=7*?aTzT$DJ1Uu>`E}zz! z6DBAC&_1D42wWk%0vDueaH*rrwt!_Bd5`4$6;NYOG$G_&xvI}OAgQnc1h z-3)`;1J=peMjb{o^t~0qmz&^mJO}!iAIPwbGKv zP_ze&*YK*0Yl=k;u;r{CzY%VaBPXW4JTq6-jb>1LkfBl?B)f`ZQqh- zWhM|{flnInzT5JxZ(vIx46G@9zHddy|G?|>^Oeq^Y>pE484WR_Q?s)v3-%j1ITL%#l`xLITDNkG4l|H8>*v%fBSOAxG!!-%^BzMb1PyOKTKorTD1 z->gTvZdU4Id4^#@e&V|fld?qDqSC%e-}b1~@5N;{9q%=qw59E4vr~abyTS<8rY{XY zG_Cx4V_a-o1BV6aeZQve(gefKdYwW?j^q-6z#b9zpSogb*^pVbVt`&yY+;QZ zQY85x5*23~X{)OSQ3 z0!4IRhaJF~`O#e(DXeTAA-M$IPa#dx&Cc8jf+d%~ho8}MtNJuMGI9qb*Og!7aMRbF zLqkKwW$9dPXCg8p6k?2zwc#T$3e0U44-NbY0;-G^i)Fe8*{I|rtK!Xsc>Ir>*Zp;4 z#Z6lfx=T3~kG{XxGH!uE#$lmxJ?<`@kfx*MkJ%g+9IPqTp{FzmJ0sd6M_}KnN_RE^ zPP~YQ5VZY9xzJDr0R+@z?A0Q1pIg7%cP0!BTq2f*^_nwva}Ur2MB!$qsaC7}@$c)A zZ|?f*L)z8fCt&e`wJWY`R3LfALo|k<7|zgNgKDJ+q?i#V*{bArUL@zJM&Wp@VIfd+ z`PnZWaw|RNR8U)`51Tv_=afm&FnMotm6q&!#@V{%qrOGXpIS?HXm)$b_=bP{!vkk@mmh|5$jWc?9-e}lL zV2`8f{=P%%q{eQLEdnQ4EsKm&Pje|ZO0+0Ue>xCxhu)q!)s&14Q*$C%=PTz&{=8A= zB+FQizy^LUXqApb;e=icAe$H^`h0c2bM+3?YG5s;Gsw(t977sOFhWvqxi}-sBs=uj z=aB`HVNo(&3}KozLLo#|y5p3i|{JhB^`;TQb2$Ui~y440Lnwr32*KACvxD4I{x&$ZgYp}e$9*VJD+ z&mhb!TP}UvVx^8kc!KYm#Wvl`=j=7Tab3+K91Sg%I3#<(+)!S={Lhy`pT$CBM0NA6 z-hvyI;r^gN6vh@5r8jIc7=XDcpi?s|-arz|2OM)1VWaJvd671i=KcqA+VUJDvN$jm z8@7FM)V8LxU_ekbEa--+lYyVnPQR5g3S#e;_1Q}3^wj`2+KY)m73+D!H7{B$B-n`U ztbU$_S)0yqKpbFQ;z0An?PK#4%UL#?l}^e{7lQf14Ol(HGBeE%dp_%DnAEAd=?`X1 zzqYov%5`55Y@J8Q{XqtH1`Q_Iw&ptyC_H(?#i`%_+oO%@0{&8nV69I~K#l2Bz|%oD zYe0Aox-nGhv!qhDnNjKuuxnO|{ie@L#r{F|$HK@;LB$)b8;#=NmsiKpEWq@N1uJ>&+CEF6I(+Yxl$HRl86?c;TckW`yRI*ZNjrD!Z~-nl zvr_c_=^9Pv#nE*$9smSlJ#IoNr7X>4;xoyX+XKb!8CZZ@M{>yPL#jwHgSuiCN9#li zEFC!#)3lR@`M33Ni8`j)6!(z^OyM|HuH?@xR&@3iB*^tSmV`YK2-v?q6;a|KQzDLf zSVpK2B2^C)=b|8Asu}xZzkWfP|KwEZd=;zoW&HH?Gy&CigCQJ@Z^J?@f7dZA0M$mE zxHwDzuw_>Lc!!0)nyIM(DprPMWw0h3Q+QGJLY}3LN-M&1GERe~C2>+Gkw0iqAYT0Q zwXskGnnht19w1ozWf>M^cHaA9l0~AnVgllDWTd^OC-j1r^^jG!iJaEbauooCsS7N! z8z``|5|Jtax5gI78_D?jix+=1XqqihYV68PgttEs!7>4<#ebIa^=s}uL*VhbDji!i z54G>D`wtCWY~0qpz!e1nWdBu^}_QM`6=nKRQ=*QSg!#R^BCiXuxP&`Nm#!6-Gt zkYTK)3z8|}9U(BWN|ex#dO!6rA@XVOkt4oDpc|vHhK_eEEG!DRn(Ktk@hg>xi5sZW zVBk&LZwR}TeP{n7kVKb#YDyUM)f+qIhVOUDgPv%rJTgi(ij4}KuqcbtRylBYrR4x7 zc|i{uF{ zF|S@7MtZFT9Es6E9Mg)sJ6+$8i@!(nB2X2vc z)-8cX=`O>$ySwMbPF%WH1A}NDtE;OXKQeEnFTCRL|8sdwkBbMOxUytOEo9SeyD6VN zm!P0x6Yfo{B57FPIz{?$y-II=z=s>Q1A{r1jivJERH1MhgpiIuMZ>W{@ChrwkuL^#Ky zemB3@@P<=3`eK*n43vy{G?vW8pVT-`>7P`=Bk#&K?;sjyM%JbrI7r?NI;rRPKkf%p znhsUWVauDF>9-cdnTz6zVT5?|a5Uhz7Zg8F*6Qboq@as+I9Xo;hBFmvCWn-DbcFQV zUY^uR7dT`xk33a_j5_3WA+a3NN^YkL<@TuD1R862%;R`BjLE9)wNZdlvCYFL6Rq5O z;G_?5n|K{YaU>5CxnA)-k-h?_$&cxoW*zUfGVn;#Ccu%o{^{;)Su_gl0<%TPl>?Jd zZlQ)t9>B9aboH;3B>Nv_Gl9m51YhpECi76- z?U16TrK`*B@9&TLIU*7)J@ELPqZaxyHZO{9oM`Lqtp|A?rH~Wy$m=9iQ1L9?zd zXGZiqT6c#4hDm~@D~_(&Jd;fi7&A%4qeWvqtT6)Xl~+pU_q-a#04Aa-}t^bjecLRz;% z`f>y2mje(?fs{1t$}-jV^pss&TU+18&M{-@50Rgi=>B_1mu1lcbC)YGK*^=L}K1YGl6Q23GCbX8&MXe#7! zuFtY1@tlb&v)p;H zUYLYVN}Ohg^B(J7V=DJCA`~_jlyoFG2k=m=kpd2XOGLnuV7SWa-OKNGqcw%Y0>{dU zQLU4Pct_HmnfAeG#C?>Nm61{d^-3N%_&aHuPbn(L$T-D*yW`&kY~KP6);Yrimg zhn~-O+KVlp@OkVR`r%Sj2KpT-h@))Pgcr9U|P}vr)>aEPv2$gF)9XHXU!7*jlql4h*GQ z@gztkK%mF3n6B@L{T|l zydehpTj+oT0eZ%391aT&`&(b1;++yS$xDY4A^Xj!-5(l*&Z)Rbr4f@8F%(GRW`t~z zpO+&>KzQUEmt_-tKm*cEMUq|!_%F2~Vm*$|Ujg2QM)VNfyrP5k{;k$2?)$(*8GQJT z>Q?D)jEsE}ILZlVvO%n|5K=~X)(&(J2?i7b{}$Vp&|on&w5I5|n86NZr*i7Vt={Yf z*gYs^YpTei(xgy-b*59%l|fICfq9ivfEztey!$aQ&3h?AZFQLr1MK5STmiSj zNqVP@wR&0arN>Df3^_lpP9MmmkZP2BL}6 zb-o5*@g$F|<6DD_>;F=BJPprtGM58z zRzL2lG%4RYg7_;7Z~$!&+eCke?RF@ANXUP$l>}5IHI*Mw_=J+j%@cdUYGs7-IF&{s zfQ^nKEiEr|UgEqGD>h=I?R!ud>nDNM!;>cq$tEtK^`JHdXmKmrdzg#Pc1S|q3F!(Q z+N%C7tDiLAr=>kXqBG)9NUcOtCJK4EaLCpP#IFkp;RJxX)Q8tM9syhn5r%YfWIRyd zy$#_1Tm?*dXMcNVXYGbbVUd3DwZOo>^+~TXL^$

qqt8iTj5j5$QDh)YMe3Lp6BC;HG|waaM&^j6|YIuZvu3kO9hg zUN?5cN08HHcuXIBxU(ierb(dbdz{x<`5-hMG9#`gqhG1P`PZLFna?&ILRaNRHox?C z@yfaBB!OE4(c^B$b+3VG6Fdw%Rm$^6evt%?=ifi#J&w*XHO7fg!l|Ay5R?YS^9hYj zN^>p|ecczhdXFJ2^4A{=ll3S885|?_Pk>0I2nE+>~rN|8e;% z3Cz_j<|s(PsWFp2U=Vc4u#!8|bxAOp_y|3a0BYcAI6euHDKV9gw8sZ*r*1bVO4Gcf zk0|O?8UMWw7bj9+@GKeG_h)}#wl)VG#XpT|0m=hsUhB*!q8sl= zTI$Pm2krWM;W;_=e}0#``R|XsXt58t4)C|X{z$MvH~P<;6SiFb&+>rEv+*DIb@8HA z;O@DqRo{=pck5wTOT?F7~Y!&G9G7w_#Q0e?1VtAH7CeM z(axqX(U~jMKG#+iQPXh)yKv(-D1cDX>hC<^Q{%-Wxnc~=bt_OqJz=cN$hH0$@4av5 zXzqS+Wo}vv`WG)+Fs}LSU?p$)iAI-D`i8u|i(6|!p9*egV)KRq$XmFL&hp~-KdwY08?4*d%uSX*>ShP5`LKYfd7nt5IjmperGH#v(dz?q zY&8gEb_H&%08_dNd76W87@J5MQU*2!z!m%+4B_;OzmioLdHJqg|Dmw|d zWMU9^8@_nU+5dT$XF7tm+(!dW&%(p6pNgY`&MSu*tMZRMMv6Qinm#!*0w670$OrniM*rT`DT@>UdJ{WN7 zXIDE3S6ujCS1eWSAIZbZo7_gIODsB@yV4(z4hxs~^)KKBhKl{+EJ4#xPq;%d4|In| zND=6AnzlB>jgHD~g$ZvI6E>=j^mA1pvKSQj`uciO3z0VM*t&EZ3X(;(4wMhh1Pm%q z7Ba_2%D=jMcx>GD_%I65k`mttECI3pIMV?6(+dr27FDP12QqJ*@THeP=>7=&U$?(J z-Cf`q;WQ?ZfC?dUQ_*3=JA}Hh3@pO3P6G_^Qwkd=3t=qRpa87rGV7qdoSZgX|8)n) z`nik1HvH&LLxSYj9Qy_bwBaN)D~uwO>la=brm!4OhL*tD1~i@@-MRo=a2HEsj?j0I zsW~In|7#`D-Xr7&R_L}0Byu3lT%&*nv;v)m`Ry#gigoXotRGtom1hea5IK%cKf-}N z81?}BWd}L{%5qg{;i8X^j}_@1w0yCH|8>!w@Ezb9qM?E;-+}4v)z1O7G$QjpIbd}P z$pa`M!6QV&BJpC4r`dxd{Kf>mQe{WHQM_lCui7H19eoixpaAZ__5535A0$HP&ASk;3Rc1{|wFQzDiC z40RmAhhCpn1#mj5K?G$U4Naqdle{R8rbW<%4wPu6X5GUmC{Z`~D~)n+cOUyEd7;DKzr@N2;8(ekV_`eRl{HhnX< z9irWewUl}ge@OGQW>B)-o&9x299J%0e0wsi*0O|O2ABAFGzTvA>&BM^InIPrke1nr z0&O^(U@b$n?Qb?WN`2VF>r=eA$F;?XLmPfBy#!SG#DD z+ToHMJi`h<|Djl5;amPSvF^i@278o3k6(q~4D>xH-o4Cn%NEGmwYPKX_Wjq7ZRa|1 zEH3kMxR}PCI7D_PO3oar-tMUsoH#DjITrEQ4O6JH*`_;T*=EW zoH>39@hY+73gKLl34c`ibLMDnYLp5g+-s*1j@C+OiRlb{`Rl#BBLDNf4MqE69#r2I zOk83Z2)@65S4IbFVWhvE*s1P=3vbDy>+f&U{`Y4~um`1PD#>@7^*INfzWjT~v(uON z^Rmtxg~H!HekJ-DuA25k&uGOcv@-JSzwSHm8@lhBF=GLXO3^Xiu8cp2@duLfpY2j( zjkRgNx$<+WLFcR1;2(%9S(zT5{G3^!IdnV7V3(xc@(fcIPrT4Xw zb4bwLhOLuOkF4ujoNUi&s+gv=Z5Q#$Z*j6HSn7?OYKI%ujN3iu@aNw#^wgUNpC2+B zU1@t(Iat5juq*Jy>uD)1}7w?aL$Q(sc1VrOK zi6=qC-veUU^jcL}v)=na%fyR1Qsm$$t4%i>Z=^Y_e_p~6T(#uCu3GeRVL?K&-8B)p z?3)^(}vv#seW0r5ZSY94koxw-ByTmCp% z6Cqi3=ymQ`PHD+Yv;$4Ske>Z_1~n#JTuCM2ha+bhXfU9WQo7B9y)Q5K%vx z?Uc(dPVF{!9g8LkrT?1i)Z7V)(|YE2rQUK1t)ol9k0a&3Tk5L~oelEY)p2v>tHj;S ztomD1EdQ=d#R1|Fy5i_9w}YTs+1HNgok0w4Cju&8%Yhz+Mx)Af;qp7)B-%&#mv*UY zsU1({ldcb1z2zTy!s@LpunFzry8}^zVr(+x?)mD?tt8e5!O3;fXhN*$}Q4yzs+EC{w4J`L5;*^Hiy2K_DSsFn=Nb}f8allYE87w**yN; zY9hvaIT|I-?AV0QKhC|Q76pO)O9b?3PiO|4Kz6ZmjKea*Bm4qH z4zsT1*u6?9bK%kDitM*G-4YXd{`QaKKHu#&#Ij!Kw9;%T>Oy_a;@n3XCr`nRg`oIk zYeMn9fK6M~{8Bo;M(@E|7JrH0j8uO2kaolp@_oQtW?7cfX!_*$9QE$X1822$Q!P{E z^LJ1;-#M>aYd1ht*q3R3Ms7D$x!Vp|8J5@Kb|o#=3&pQ>tmH4 zBLsx*#VDV=v=0(EApWz1m%4;lv$HW9{tWBJ{ReiO(c07~p*Ls@8$4qnrsBl+r=%X+ zLe#U0h@U5X#dQ7l3C)@3us_|B+H9#aSuzP_3qg?Vd)D`0hU6pl#H5NibNWgS|t_*&*tc?boirtu8N~AN}m# zlQyARtaZk^L;s#ed-O$PGr0T>@x+Cq=Wcp^c3f!(#xJM-`u#$4KJ4W6#FQ#59 z8s5E))8$i?B+P1Y3X62A1q;;Z#cHTn>wHzT(7)Uqq46R*Iqt*(8TAQYKmPP)zK5(a zFRpm%Mg~?Myzu65*y(Eyj)$*ae{lR&e3Fv?#1A29)vmuU9}Qk7!uhbW9Y~nIxCe8&xu3h@j7Dr56km*ssm^E#Zk#`UdRZ6$r|1%rz) zq~Glx`!2?(XWWTCeLZx0)kA|_kyZ!1yX$h;UmShISr`BKoV5u4)i#gxeZ4AXeL}{@ zm$q)ROB|Qum|9C1+E-2M7%;ABucVq7{=RTvAKqH`N2p4!1a`+Q_vhd z+{?zF=W})-;_L2trBJTa?8Ho0M}yW66eUHtQ^(C`$o2#$>t!GtsKWXIAw%TDuiT{vSpT)k*z1PcPQ(~&I*OBjDFXx=lOpBzu*6P zy@=}3ea`*4KcDM*uS+BLT0u~Np7OdQZc9u!d+7)9f-yw+PtKoB71&@ zE{Z(XIW-$0Kj7nj1wkI9Y6S$K%y(VYYi@MPTtDkY613>V{2I%2t-A*HM%amGbqpgK9!d`|(3TnP# zFc)t4ywopKL^I{)cB8VvQu3w5WZ^o7*`QShs=U&y56$J6RPUG3%3>X|uD{L;)t^ZWi*EofzVUhJjShB7GOUpUsoJp+ zFP|KfpVj(M1DyPN|7nlALOK-M|DBsnXG+uWrt@>7#IdEiq`8+L5M6eO!w?wtqOTQX z{knVlu8z2Fm-~Ho1vf8e-ZXtzjsE=MA5IdVcZ$&0wy;nO4a+WJ3H&ZebS*;9({rF* z9ezr;;v+ zC@p(mZuK^}m7Rsq!onms`RIJKM8>sWuLq9__glWseXw+23|_^{;`Pb@O6;>c{36($ z=cYVX-%7aSY^;`BGwyZdC$GUBP7Bz*iKI4o{2qq=aU1dxIsk!`o{3c2{Ovhpa2GxP z93}`q{9>n(b>tC_NwiSoQ*<}mKF{Sc&g{G-$Nkax%-hLJW&`0{P5SgXUK&4o0Jc%f zMvYIo@dUpi7JD8|kkueEy>*W7g((djwO+c##xvx|o+-XtlKcj0D)3S*F=Zk;=$hOst4-ZTi7s{jKkq#xadJ z3^PeNo~DHvll1B0=ZPn3g*M+x)b(>Cms>(^3ye=U&iM$#i9DIArT<4_kxvRO61b32mpx#_x3k{W!cxJ`kw=4cZ zBycN7zs+%=!58&nwTiZJbpI1gq#j;*TQOwXSXu9Cx46*UnL5k;1f8`MMvnHqQl`y{ zl6z3eh@%`fUV1Z4%SvGw44m;H#H?8At>TcL-Jbi>57{#wB%^JM7Tq?wsAG;c@EpCN z@KHj$Pa-SHZT|H=rn=&wf<6jQT{>|f36Q~v*q|2l&@Wfl zn^sf)U|394qcfdY9h^TUoVV(?EMl1=CHETS=F7+t5Bi}tT7feT8<~B~t6}%+X2-!R z00H}VdHTg(tPV?23KPLI#WYwZ_|4+1%8SX|@qCfdTXyh@occf6naoNe3#&w%h`!RN zUsNV1-txj}3)NgG#UF_fNv5PdSgMue=uYL(+LdK~J3m|*S1+=)5##2hNgQNVpJhnR z{F+1#b!~cq^unw8;oqaJI`0&4w@yx%)E!%g7_blSyNKq(cmJzNT=4_xw4A&vMlvns zuSooFq)N02&Im(sZ4$RydFqVtLMMFy`2&B-cb^o2II5`%>xn$7YI}sa>vbZ=nk1wS zM5-;Kbw^MJU+22@M7IKCEj`HvA+eu6f*pq3Cm;uAZw zp_^7?x5qg6cioeao({v+Xs3V^`~{)P0KKb7<4FG8uR|7Ac_W;c-2GzaC&|-81qzol^JZw3$(1sWD#m`gv3752 zL}yPF=CXHhTvM@T*VBl{{YJE{2qu06bO;=)0FvX{@f@K38dx418+&lMd^K8vN5g=P zz@O@7+;@YMjNZJZu2@)ZFl{9#6Stn$QjU(6;Md5xOx9j9dvwuw{Z*3V8)opybe=rP zbvdGGwmVv@Y9cC=`ANFkdq&H65|cQ%I8Wwhur<3*Zxut8#Do6nO7)l{%2VVBynwpH z7eL!Aq!-;sNXBaLsdecVIX&am5u6o9rQP`?aDAADmRU`FG-n~0C*1z)0WeGo-#l;$ zI+cH_03E-4W)N#~i1l3Z*etivJ1@;3Z>L6zC+a`m@5JBv7fEzmJMR58V*7jCS*Yk{ zQ?!*vOK~qh+2*k3X0Fn_<)g??#EAPV0URK(`M_i&SV!8r4!Ysej~}Py2wSub2KB2tOezQ&l*&o z(Hr4G_k-sU4T{Sn2)$4RF)f}W{2i#nFkn#dkv~F6HN>?CD?(;4UEle&q}4=k%x~3C z=2wTwupu%zrzjl4UTW5JRbV$;?)?Q@0OUz>>@#s~tKx?*!!)Y_36XSdQc2zTC)$CH3C6Z9c zEByt0#a=1RRB7v7ra(ob;f7-LqGIUu%S@bVQfAkWg4r2m1Twv+T3$oNkE-wS-4sUx zRIa@p%o&}HRH8b}dI2ZjSl;+^ULhi)GG_Vm6}4Xx$E~y5J~{hyhCH2OAe1;S&6ad% z*1yU*r^_|B^lMv{#;qqC<68Li`;r_h?|*GUt55Z9af82PhjWo?e!`vg@Uhe#yjZOQ z7{i3Mo^{zaz-s&78qR_xEHd3r7oL#WXH7*Po;Nuz)e`HgvWoe>obaMjq=|A9K_Hf` z`C64#uT9~AZ8_Cl+4#<(%gxk0aFj8>c~Zc#az^FF7$31~Va8}MI&J?iSF%asGaqZ9 zGYOB)1QG}H;b7w}5(fsd=EB1Bhz(>d{q*}_M2`1zcGUL>;0Ms}8~vQ;cpa6+oPwoO zUU-*~8h+;=+4uzsGXxC0#d!7pc|gK9M_`mtRdkMQU!4?XS1=u*4D_r9HM~O8ECxz( zZ*Ys|rev!o)<(^nQ2MS5FSquR^}B?{Yu6#oxCh{M>qF)@Uky@h?JF6{&;7>&G4`GE z_KLOrq=7I%v!yL570^3pCD~<;aBB21Cszpm<%2FPJ$n!;>^qXW#ClTb@`X^ncHbNl zXgJ|N)c8WJit;AkGFI7|Ki2t$MwsNi^-){@&!U>9lw*L^O5Qs}m7`>G)&UxMfgnBc zpS)j4MIsPwisAC+>LG|?12hT1(9sgjDDCR@6qeeju>9(b(dFMU>v;~KcUmf2of9eJ zghO~b=xMi^vbAC8GPa!RGjr~fZ5LH0<-2j_ah|77IPMXP=h;t{v%tW)*1q$yw$TNbi5ym-4WN1_}O5s z5CIHj=6eaOtFoBFj)NEib%J(7qs4_AMW0JwqRxkd8U%VmK#XE$UE3vq3Mvwb0X9Sb zkk}FU+sEQdDEvfU&8i*8{Kc3*zcf|0C2UVuN_4&6<-$bMZqq{1j?fvJKt7!fwJN9H zp}1(Js`^0Hk&BrGu#9eKU1F|wH>2E-oJC;e!?WZ1cdm>uCI$3Qxl~U3l-JMKq~dVM zt6CyP?!p7ilJxD}$e!5)7Ns&8LV56XKzDja2%n0aQPnBhcy&-OysG9XuKJ*pl>K?1 zX*}ZTRH&fN&jzN}A*rD>(+G6~Nji`+4ZmjH+o(CUk@77085dy`SeBGE2AoEt9^;ws#>qR0H&7d> zsw(vzm(?sx@PXyHq;!bVFZz}ybuOmRW%;$(%hyq30n3+ASw(6peklp`n;o(G@W4Q? z!Rty&w8Q5xN&3`QXz>OV;3qElXQDcs9X~Sygtf@A&%d7nT?9PJp_0FXrx+SUnb=kr zI5vyXF{(6uWLAB`M9}FmqOQB$+gsGp^!j_hPos%c7ilpJ{T6K)6aJkfrG)Hz;Z1eH zx+4@_u=IkOyC0TQN)AE2oXKc4%&3ucO{hBGSf6uF*1=woTYSnGX*Yjn*rwKs)}zqT z!dVlhL$>Rc-NnepqV@)!RmeR*OB@6QC~Y%E1j#l=GtOokgO&%-HB{Q+W>~?l81?3x zs7T~SSVv+kVVlFmej)=9m8&B`fwZfZfj0iBtx`h(;m3Eo-6Gw~cBT2^$ma(`bDO)r zHTsn)DOIdhU3E%vi?fee8p_gSTt1c-3CB#D*1`9i)@)#^lB zW%$iVS+?~;=Z0QpEB;ZxVmFMvVML{XUSM?sjTt zwn?ZdscU2m#dC>;B_w$14OC4*_Nl67SYtm?lkrD5><{w?G#1)|ag>xdwQYsc2r5HZJF_4@q(}quZe2HWBf(C9-xhZKptTX6K(G6 zltm~q?qC>Jkg0zcDn$w+xt5QjX{OI!Ggz<@c!OhsEF3l{#7`OX`+gb?st#8fD|7Mu zY(Uk(fRww*ze8HlOwxr<@XQi^#|cucK2+uV^IPHAwfWyFv>xZjt4x5)$M!50 z*^u+VijvVyNdVPvcz14828-S zN!ya)aDNGQf8i#FvA9_ACyTm4RB-MLx}lDf=ZDO;;>Wd>V-dH$Dss(rZa4$q!rBQLj^mR}USX`I$w`!bbP-y6oX};7J*3_)1OLduwBLn#F~o)YT+vBkz*Q zNPOydu8`Ja&)q}}w_=0)W1~!4uZi#$JZW^%)U^xO?6q;%Jv^F`)8r+FiLEj>CTfxd zIt?Jd%sY5>3{+Xky?U(n7pX$LMBXyM;bsJHC{)Js!OU#ruVc***>TvA(7d}bVH^O8jP z``JhvP+TaE=8ym5`czHV=%zRUQHA(l?Z#N#i7y~>CvoKRMGk%on}~17iBbw^NOikR zb#({@6-#4rg5I;%F`p$D^Ou>K%y&I!+}Q-UV?g~H1r*>u&(U}jtbL_oLN;tuo^2WW zcNYY!6P6L}Rw@wA41AePyn0vT&N9Q($z4J-53-hQEvPL16-sF88~(cf(>z9GpOQrN zsxZBwut-Th&s%0h^uDX{HKOu+y<$0~RGoz2%&Rdn=3EkrFIQ9UU3r0!pU|&mA}`h8 zq<4s0LN<~Ri75Z->+8uC?il?~g>_CQn)h3MK?X%cVC+e%a2x$CEO3?o)dcW!gi#?q z^fo5V{$_bji>$DcJAi0p>)<7p+6Y^l7&vPZ*9G0bvNbIT7Kh!YBc@SAAu>VT(Q0CI zk<7B;9SGkmJ`!wy+=XzU5G*&~mpI7|>6VCn25}RCBQNB~?vYw#3J@aaJc9UkjltoM zDCEG4klHc1;`y(D1Md(Pxy!*cQQyTQ&1f9=bk6v=OY>TxTo~u8J4N*)H_a$7!*=^t z@Um_JZKK?f5daO*oHkkyDbe(OvEBNmE;~vOB&m#V4lD_RwDLwsPrrDa#5<(u#?7;t zJW`98M)#-1mXc?@eANqyl|tW~0;k^LBc>O9m7#Tv@>Y(P+9ftT5uPg)TvSK5f`o}7 zDUm~!E<9Jhw+~~9CK0tAk`Rd~@WA||gE)a#=AycjdArp6ViQuGTbdQw7xHKu#Wa$l zn3=oGr%BYJeck(l*Umq?2WQAu$!7>Y|F`GH5yE5VtNK~5?4b~3Nl|E>6)%g;FvUZ{?Wkm*`KWcoqB(O z-(1nVDX~R0yeHd5!**#h`u|6OL-0M#soZQPYBGShDAm)rOe8LBZU;Ma)6!Ikj&jy&XgAr0MOm-if||0Z?1Q3aAnr)EVu&J}Kq$XZ#IHdp zu=U5dG|FZ`U1O`d>a~^dZOlQg?-nTqv_Z9Yy=2j|ZS4bR&rK_9!Ion^05`5@I}?*N z(|4mSitlN3AWHFT#Jx%u8UdkieoAj9#7wD~SSVjhaaVVYnNz!bV7b*^nYT9Y=y~Sk zU@^$8u4^lfjQPEuOyMO*5*=R~Cb}0NN*)ob_8zRZQ5*p=u|sy&8ss05+OLouW|Koy z$iDoN%%ltuqSlTNiF(AL@Di46^^zj)A)!F`LxGyR@yJ2mfqw?s8h~~C#bnaHIr&Ib zb3xb(7)hMzy+RGUHlEOgE!KF4`4CV*7~D@uY2l}|X!$5XVcwFSH$@xJMVDXAIX31R zu2DcMW_pKzz@nvD6m8y;U9+T@r}mkZR>n>-bI`VFTfaF*Xm;69k~qqvjB}Gr0meEZ zYb+4+6YOv)h<23?Qa&pSFD-1s6s?%U;7r7b4EgADU`qhPFGXB2HahE49JwtCE-uPe z$R$aCi-)424n>*ki>BdwM8ysdiY-HGj$I{tOm?K3$Q~y*g~6V4%OEHBoM|S`?Gmi6 z_gS#Iregwe2`K%O!&29wjEv5H6CHT$3R4cqpXL%I`~rBj+w9}k@W;th9IfI>Fr%00 z1)4RPFKx~UsSr?!@1G&JWXMmw@)krl9|2!%D55&=_Z>z2lpxnVg4iFo+J#2v2S9l2$HUc(8Y%Yli$f z>ig$NM%e3um_Y19UF3^DDe1f!FFk?5j5#_P9{mUt8F>@{28J~%y}rwT6cFB!zn9@O z^Hk>Wl`r}-#5n9p?nz&e@xsH25N)wW-vp+s&%>8&CUIpfO~M`^#OoP`Lzv%^AQg_a zV&%uh(KeC$GQ~6lAdvO2QQ*@lAJ~eHHq9*n;m6jIHrv9)Uuh`5vtr7hO*auJN*b8Nf^PTkc(ksFJ??{-Nqz!u$)jVA%>knn@U^8cx{!%0b? z62Qkxu`e0rtnJIISfhO7qgM(H6TgUc8G!~8 z$EVgU#>}+&CY%ITHHHq$)RnN3m84}PqsAl<`uXbbz(u@InJH`vI;&pZaqjmnwYN16 zl|R8JLjRFxbMaxymQ$SjJEH~>+NfdFz_x1<3oOyW{X}(wS(tuJV1KMZs!7io_)7{4kbg z{NY%P89x(=5)YTwCAYf_1iPsK3=?RIR{z2||CfNXmL*%$%#4P7%c_{HQ+R%BYm4aG z`4@KX==J9qCg>#skLo2@nUP>(X#$z`Vk2#tzeOvFjn^JC`{g9H@x}glE-UbEKCu6J ztL_JA*7Ky6zLC7@C(Wm0Z&IGk&n-AOGu$pO!_(4#S@?xs-eo%wCBD~rkGS@ zYeL>{PP0&E@|P|K;oHxK*h$l1j%=WzLC1uMr`Xe5lM-sPe##*Rbg;f7nfF`sF5nRX z|1&gP2xO_2k$9^_82gS^?`&o4Gj<>XF~_W#voThQT@Syd``f&{9&$dzS6M!|Oo;)? z=5*LHy7<3+BE;w1p~($=n9l-__tyIqe9DDKHyO1FXcR6FAwpJ#1sGKB)r_5K7bU%M92jvdxYdK ze-*$c-q{nyfMnO3CWcoinJ;1`x}~I$ExBnndXu-q+2eDBBx9ohg5dMO6WWGiqU3hK zpo=Gpa&ua%pPw?^V1Ocg5!3maqgOSi3D$F$@wAp*$nUmtn{tb3E%<+2@boRHHk5x> zvX^(w$^0duUV;TQ6YNApEhs{+RK-Dx$7~RJVtE+q8f9yh6lr0;bF1Q4w#pJvQUE*U zG$Iu;p8b9m(K-&tu2FgQ7?xOA2NBcCAUOilUR~AMu>G(@Mppm%3TnScNJN79y~!t6 zN?qmwJumNRk>P06(EJmr`<~XIwTj{7`6qs1HcYW6sKT*y$AKq{Omd_R6v|4{ex+Tg z15o#p9-LdXj&v$Q8>&~;dNa(Og-$2jx)j0=-!f#)d?j`<1}VVXf7P#@SHoifaU|rf zX2BjC`el|qUurP9>acN3w#{g%clhK{R<*J9u2fLxp8a=0z1Y6~=Q*WG85y7VM*5!% zgzB?HNf|;A2M1`38I8%n*x1c(nK?EjAxRt@smP&*_??juudK2z#G;M(8o+uah1g(W z$(m|;BT-o8#&o3b7P|oCGaBXzrDyBlq~Hv;>SOpQ_=;B2t_~~tJ*uq3RTQ>bdDtrZ z$$)@LN1A;l*GoDx`<%@YbSF~6ux1h;W4o))}1H&Y$zyOl8z{B-(wgT(xKulxm(^#Dl=x#fwh z-0{n5PK3<7yw(ZJu*xt8qVo*i4`(ZyejeQQJYAgsgDD1Fa zQ%5cE&lQ+1g|Ev!)9>aF6=xgdK0$9zupjsnL3gI5?YOMR$VEo|`!}!kCyXP(B#^;% z=r00wn%xV+CMYhDcz?v@t`K(H7mCak&6LLubpr>o8YDywl&TI~zBJgEBq=yro5;qK zv!;ju7aP)3Gb_WmlhjrIN*3s0!K3|;B>d|eNhcn;65olAkB9cl=Sh;1u3btE2g}st z0n27N($Ho`Pe1zR6X$db&5*iv1?>8&aYso^SicCSh8!)pLA^Xgb2oI(I97|j;R~ol z9CuZpFBHB1u-N7hac-*7u_I8$Q7b#!TN`0YXP}nk!=^t z;WQd>qp=chI$yZ+_M7>$8(JrwMhw3_J^&yLIL@cju}O|m7|R5Ho57Do6H&{O)$Q!M z(rI~kqSpXN$~Vouxp9I@FZR>L87z|}fh5i*k{6DR-itG(R=6n5SMu~%;S|aP-icBY z)S#pVi)k6rcK0$L|7d~V5u8~n*RDQy`Nzm#`AdsEPkP2opI)1o+*GMonqpaR3$5-F zF3)7;uyd>fRl(8Z02j>!+n3po9TO>TC;@(-zl=|veFZ$2OIW;}Zllgf%QD}-q z-%h0m8F=}1CD>adrq;Vb5I138%4L?2#T)gQRw?c=#+pe&*OFBc{U&W#4_=>@up(0c z`PVZt!X25ho*L7(5ux=_Y0Gp0F?#pMOcJt@@~I)?=uVRMpQ4^?^88P&PRJxq_CBh) zNZD(#I+7h;bLc?{*_j>hz}n$Y|7$}TDWpz{QnZyYx)S>5Rg_|&p)wR?Cs7Vyy~nll zxgaxk{%qX(Q%2x(duAeDOqEru#-kY=6U+P6#Y#6&qy3Y5-8B(T9fLqsqD4iy!3IE> zh@tjzH6wih$a6S8k~flfxboq|5Q$RRqXPefLlJR3b1G+2=k{?-jsE?VQD>2v$pcwm zCg1^@)#Wpx-G3A0wDNW`h?e@!TXFM~00!=A|La~zIa>nUhPKAY>zQt65$nvTqIc&a z>h8*~$f%2m1%Wrn5~X$R_Q43rm*>hiq!3`-DYm+G#1 z4Sp1~dPfUN)vQ`=yS9wH=#0`Cy>>#QM!P)^cW637{kHmL9H0Emkm@NCOh*y~Dl4A4 zIyaFMGNe6aNBpBq8zK?nlMEcD8rb zr9197p7?#gRzQs3kfDwGY9>m)g^Wfr0x=3=a)Yob5E_aucp&o~OyZ(!m=Vzm5+oc; zIB#e|;*x-2A#phtZewM}Uyiq2B1;RzMK%ff^BhgV>f4uovjn2+67(MpoH_}T*W_Eq z^mh9jODN=8__f8Scx^t?*}wtA$VVms8>|m5L2OYVQ)tE_M%Z6ar>$gm3kL;yWdZ+d zc(#G&9e8=4_@sPI+D_<^?SP5>bS2!{_VY#q^R^hO!@=9{@&N*NDBR4Ek@fi~xx)vW!d_ zlOB+PwpZLx2q@muY`D{H88H>h8De&NXVDk*RM$FjbQ!^N4vM^^& zZ`Pz5^c5eaxjIm6z-+}fxU(HpyT?|4*rv{fPInWKg^1~)yU*p&^otw8sx;F(d!tuqnUgQk{yB8yhY<$8*_9e@m-n#smrA5;Z z{EBskl)={m@WgR)w**qM9+`(27KqwN(|@zHDOUL16`&O)2k6N8_rLlc$Tsir&Y1$J zYyC9@mCW~cSow>DCjqcC^^$88Z7x7Y1a4rbTGPs^Ew9)S* zNXI?JB}iZT$5SN6synN6=%xVJ&`NEr{6sMbv8+MhCxbRh;D_l9au8#1!#p}DRYzKv z=;C)%dhIeZ^3U$G7KAe)4aBm@`u3MIa=z{YfDzY^NbQ;V+4|amn5Mf7><4-Yv;pLL z2~nPS*TSy8aC5VQbmZxyF?fSSv{N)pz_yZk{jBz`OUm3TGOQe;>CN^aWpFHrC+SwR ztrw6=<5$4rO_E|q`-D84yedhFYYwP|Z+`yYjbCQhgUE@Rel2$nazgskpu@<A-{ zq2`jhR&)`CIts`!}yDrm|-DdsE;0(Uri zrAmYwsOh668c>w3gJ>gW%MMy4>CT8X80(Yv^fnUj35f{qbLRYR%Od_18w&O=z9Ba{bqVi68r3Y zA@CiSz-o3kPR^WQmC5+CbyF{0x*kP&sFTwBD)#Tgw(8`MS8|759a_gi&BrztUe#xb zWwqGBC%LTTE@vk23rdo+hql4)o404-X$510pysN7fcv?#`4)P!E_t%X zHR+wzr%vs0;<`ON8I?zrH);JtNh`wpF3y84qg~}iw`(}aXnvSFv95VROGUC=8WHdG z!SUUWuhC2~qw=3&A3;S)1~vET<&vLIT$ zl!73I3n1rl?>dfuy6guf;j6e z-)TY#S-RAPzOS=;qPF%D_FvvbOot|L0F~y|(=18>71CbO1H*F;AI_EdAn@7YJuXWqBs?MeoVI(Rp*|kc}ZhCyY zguy{k`Omd0Nw&suk8v!SxDbveCR*w8w&;?U#Vi%W^CD-5VdL~cU?uYo&Jd&s1y-~e zP0`P(1$7Iii18C{)>)(gMGtrK&>W%qq8x}IrH{NkKY3uki+i7olmRG8P>oSLvGa$} z$9a4coH1YYRd0x>nw!M1SEOeYT)tEy-Y?PC7pkYgADSRuE-u{1%cWuYxm9pZ1ns8S zX_tIzdaI_e)XikdWAsM|FhS~-L`be7H-!?+IH8{0z5L0Xy8?^=$>nGA=x;z00?f3! zh>S#99xU$867Eos4i?l{od$P1m%p&Tu(*0@C@;u{hozR*!4^VVNFj83w2HkNIIAnr z?p0(?O$5;@#$Ib3ZX}Pq8u)n5`1Aft&QN3h-ljWH-2gcWr$LyRD$|=Mz?(S{xWnmX zpPhf6-cdcKdAJRY$qz~~G2IpwT|(e9|94*J&*W5=H`NvC+VwWwhTuPO;^l@HxIv-0fjh^mcins_SVe! z`YUA*;<%p$cQQ7J7NPya%yQ)_-5Ca@7FJp(NBF64pRoalZ5;01;kIPK`bO=uKU2Si z$LIO(pK>P~T7h;E)%H)|$ZOF|JUJaIOa#>rJEdq>XcE>cff*Vq-HC49V%~% z?v_*Hp>)`YT`f2(Oz%W!6s3?o$6lt|_%$(bzVIHtj6(BoU-;R+3Fe~!nRON%oxg~v_?0lK}$*@i>jiL3_`u8(TRO^b-XhJ4? z6aI_DsWh;444P#F38^m6t$`Kp2Lowu|8t{ZE1b{C^Dq?z!WvE9dv8FydlME6FLB2s zX$W>W*`xg?sB4#!Q-dqifFi-j+DPPF@q<>oO2)n$-CYaYKzB?6k0jW|sr|TIz#Fac$B0ob(j2$w-4XwtN6RO2#)_BdrGGV zE#tk979O@{{NHM|ldP|^ih*tfV-+t%@{Wp^qJPNc2(7pr%hV7*CaHVlC!!ljUMW#h zEgg=tkz#$37^j$E&5LV)%>h=-`SXtakeG$ZG|pzwVwAnvIph*~O8&B#ADn88ZT3fRhl= zw8nk3m(PrKD;l|Tl=74Cg_x~h7rEDr*B9ST!6Y=?*PB(Y-!c`(S*KIoic3W3drHY- zV!=XzANa=OU#x^C`pI^ZP;!JwAz0mjw59KcI;)6HooW}n`;%yhRo8cgv1&$V znlP|ud>i2px0xap+8OO;ek+Q05vCu!d4E{6Y3@DNj30K6O$>*ECJLA5DF}GOeOq?b<}r!x*9)fy;~?l?XuCcq}4?4p`wKc(Gg0W6C0s@D&ATv4ra zXf#E-G@qt81?QY`rcPkg@{kU23hHXTHaN9#werDMT@<|+Flr#v2v5I6nn9=lRO=?! zT#17TtpXY-v~*q`ZMtgB^N8R>i;xP46XF~P}mXN zD!mTCmV_PlM}3b?I;W5 zEgDYGSr$x)jR}KxjI>5E-hVcBlYxk+!y!)5KH#h;2(xm~{np^|0B9t_DGzK|L31*Y zUvj{eYBh%0U+h*Ph~9vo(FfH$DZxqVT3Pk8dtO0lv{9Ktg?Omk7K{64KL*&w=L+-b z&`}^QIvr|?mupU{!}!T!!8z{f&b)wKS~a#}HH8<+e7Hcoq+NByXDl1RuU0GJ39p7~ zw5_sB$O21cxQ1HW^lIL@>mf4221vHx;o1=LmP*0XsgTFnMDsHPLXg#Ey2991y`u8v z0|?%t0O}9FXGQI)Aff#5OG|`fqh4pbjS5J0tZ{a}g+Z0Nf|q}s=>W+F+XFV#*Np!rMWCIHKVph`oiKkRX$O3C8TuY{?X%FX*2~sh=KDkH6rTLwpAO-bJYmF2VJ8?sU`QOW5SndWc z$7$hC+$Hs};sBpO95WPXE8TMMzgGQ)WXk?uG0o}aPLFH%$IK4dKmeZa> z&s$6_z!kecmj}^Nly_?hRfGg_zn{d>{(wnS^*5GqZq6Qx)P#dGB9OS%QP3B-$%hg* zrj;%g=kr8Nn?eiyH6l1VR=T~2!k<&~%?_zq+ zcLgx;h_@J-o+9%t)&LobJ?AaGK4N^PIy_yC>&LYdo!y){wcSnDTS480Pn_6a8~k)Sk)jeUWmf@F)F4T7>fjDFuqZxF z8^w%}K7u;H5`#%GB&Ew)o|}jwEn{NBixCb&LBk3WSUNsXE5peEt<6eE5cXovi<2r5 z-XfqVNQdo!gMa3WT^2r`1nfgu^Oyt@qA!nT^~{^2OVq@E0LO54;{wt#zZR309;$xO z$`#Z(sXqImSoSVRzPhc}>mYMz8#)YTWjL_voJF!ednvLZ;C7gqb$p9uTo{XmQ@P zr`(6}LyZHWSh3o@2D+vIJk!g#-r8HB zTZTwgq~R-|dMgR}V{av`phQl}%bs1%H(?Rw`XMQxg($}FGr34x3E|1A0pOAT@Ah=bVCML1oM zs|)4SZ)sw5bJcjZ0I|euim|2|HO&o6-kKH%xBgIN7UX_h*F66m@_C+Oie z=@Eoihd4yL&olj^6p*IS{hqx8a!7r;<<`;Zf*)PjbQJdQhRbgn%U-%PTH0N&z;-jX!m!+pLw*!^-<^sFmy;uT@PWuaKrMY z_y~E=oqx$b;Y^~yHbhYcgxC0o#hbqaSs>ZS#uVH<8VMj|>8M$&y-MyGpTpR2U^t=_ zXY;?Fn=s}k{-(Lj;2!K>IJ8x;h5q0|0*KYArLASz$mvE}ln`}sn8*rbrjmIL)4kv#E( z**gc>?tfsC>~$n)6bWucrUC=swhbwTZ8;DKzkj(K4ANgz18^^y0yWrLj=P+Qe~jY? zd_8Gya;V&)?|+wfk{>qlp7G~~013@jlwc*55Oc96(#Jo4s?qOlCZK&Pbqjr%g_ZLB zndCDSxZ|?davt(>YSOWFSZOq2y*ytnAEY#ggB-9FSPpCs{( zeAHXpM@S3b@|zi+BSiXkGte_v*8vAl5W#bf`%vZFvbfg7I4pk z@e41GHCZ*W1)S3N{-ieehda8Mc#18^TI^MPV@OSyk zsK?9_GxtcRKpPC~g73-@N%%5~W>@aB5s=Qyr4EfK zO1YLsVXv1Yzl@a9Ih!Rg8pC{D(0D#yd>;2d0TTFix*N-yYHU6eFwSEJK9UB?5ncsC zJPS~QS@Iko>WAP4qY7Bt5R=dv0K^4TnyQ#W`f8L~hwi2S|$)}c{)e7j6 zFk+y}niT+80o2~XHfFpoPziv-9&}Y*8tNstkaxfqjvJuY(?2X?FG(TndJ-1O{5X%< zt?$OOrt-m1{C&0Y?Az7y3aamo^rorks(Ow!yZb^O304rfWY`~ire%ZD_?O2wlZRJ~ z2yu&FtSg>=)>Up69tzlv6EWL{*xL@6s)fuhb+LE>y3S&t*8h&a=!2nF366!6$YhZt zAS})S;QqtG!DMfwHbKqno==!55BHc0Nor#x3wb;-Jet=j1@B2gU2P*o#N%r=ARXI; zy}#dWHP&2=PnX6MekXIgK__Duh`Dx0`4{D9a{3~)=wpi4q~xntk_+_<3v{9PvTgrg z(98fZ^D|j&4H=gSK?v&`Vb-sRy4JiH+Qjwr%Y|YrR@CSw4 zwuUzbJxb5!q1NBe(f3+Bj~6JtJ?pcc;*+|bG)F6ajPEsCUPF2@@J(>F387ZhiCX;Q zm8j;U9q(V3loaH-%!>qi4*rm%c@iRcy&!*l!AmzLHTB1Z*tl~SbFQ;Ysju8gJYA%q z`y%UGdw1-$@(RVoIj^ydkYn{Lf>=3`s=NOLU8fV`(_o+x(HQ$j%tpF9*w16^&(6-y zL4H}SuUACxyR?|&p|*S`IH7aeY?`Y5euHn9ie-b%3~pxAlm3DdD%*to)bsM7_znzb zyiLMQx=%PgFMdAZTa~DfEJMZ%*O-GCXab8y=_y)dZq=f$KK1z8vSVFwX~&m)tR^`= zFVijj!@=MmS(r|A@PXr>2MRZCte*R@c5ZL+?ZMfH8*dM894w{om+F3FvMXgq2BLQX zRCr{&;o&y*df51OSj2{;|AamL?n>oEK>@Q1Z!bURTVef2<&1p9-H$z}Y}g+AwO{$b z+V?{lU3x<3_@$U6yNlkLE|)5l<+U9io-!|UmfWkfd17m5Px5{~MWILWf|a5DJNK|2 z{GZ=Rw+}XC&g|{&Ils8m9sli=)x)6pw3Qgs3S$>C;?n%7wJsUQbNel_=X-qU_BIAC zb@7`#bqW8X*jf8YS@97~Ldm;W(^A>s-T|=-l;`$6h#$g_vTV?3+n8kg&Q@wpA9Pfa zQ_K|AA=xcc_@g`iRKj!LHRBd{!(TPDJ-3*C`rH|vS^my}6we~Fc-(O!# zDmGmBN8By}7w1i@smL&JFdoU|F}Ams?!Me z@mhN(m5K|Qx~J4$Vt=)HdV%WTe(b#f&+_E>N4pQ#$M-JojrQ!1P7?C+^6q~zdT{E( zhdq>*mKGD1DNMB%y!3k`Z}(X;dV@=ZcP2RwFos4(J1|V)w}AKkn6?09*uviCoj+1X z5)%{m<|7W~u>}EILdGTw>(v3BX{-iJLGiKyM}+N{ovDOr1hp7cd0py8^j|#B zqB>XSoD^deep3PSDU4(7tyhbUsQsi=6PB@4tM6`iJE!6pR=;9EENSK!snCA+dq=vl zh=&h!F2d~*R!~qd|3~2uiL1f{m-72*in^-(t-ExIpD1z1AL` zsh8KC{35FMz5Mj=?oh$&$Mw?+GV+DL@5jDKy@hozbL$J*`CNIieqY5zUXLajfY+Q-#v3|&hHKT(Q0no~KYwbro55hQMb`JnWNb7AiO{r5pxE+= zpT}s))fgMTZl-h}^luxRR;>o>q*u>!dk25L?O7-%d)s3fnX&*>hr&ez##5xL?%(TJ zJg@1Ic$vv>mAq!6vWswcO4;HS{+~POetDRL7@WcJI30@tbL-r-725>I7aY|ZJhj~N}^!wQrK*!+NhVWq0HR9xsd=x zx=%i~b@rzECR#?CaosBFT*!~2AtZF#V1$p=+nZX2X1%7^_-giK;KU8h^+EGe%)2=KhZ@-yg*s1Y{ccKkJu1 z#K6%?w9&o?1IWo?I^z~w$Kc>^duqvjUh6E@^{UCFlD>&FQAUmT556wn!FV#32XqXq^y0U5h7lh|5Ls-A6k4cxBv2((0udJ1`QWA$}OU4T$`psp}0i&cIhVEfZ1EA zG1GH%w&(LR)hAoeU2{-q{U`O??Z=u*bh7Y!2j-hPk`Lc+=w#?*Ub|X!={%KVrGVa} z(zt8nu-AX<+lkc4G<7@py;Bvhu95Gu6pDf^MelWR#*w7#e2GgLq3d~PxM3BqSU<6q z7BXH@33zOs#epqQf^Da@T6L?^@n2gn1I?} zOGo&K2R>`-C%^GuYW_cLy>(QS-y1!ONFxmb0s=~hAfS{IqX;ty!blA%A|N6qjFfw9{m$s;`@47Db^p+{24~@W&U?=D>}T)&oHML9>WhP?Q8^7U zKNRwcK=_7xjbv3vu~ascsSvevz+lWHWbp2D`#RLMHamG{-uqgEqpw~%O%Kh2xg6xk zEK8X(A=4r4kU|yC5UgafTPRmfx+J4na^TWhF>r#0&ztJ1hHuJC7PHJ;BSlvfP}krv zx62#LfgSz*y$tJWo@_)M3Z{AGS^3wZDruuQi8x@yL00`WCa5+YWd)Jc+FE0m(<4g~W0))H8 zyj7K`E70ci3sfL|`sc149Nfn-I*u}OUhF>yr_Nk!1{ZL`?4Im)(E<0GQZ1Pqvw(D81-Y7mWag~+gF8kiMxwmbM&uni@#`|eg$!9l zd-+eM!sNy0C*kAyq#0EbQqb?D32s^^cbzR5dtrNnrGue*W1Lf%WCF1JBj}KfLSnP6jj9^5WFKl$b-s}05a2*f+wK9@YF<%oM5{}Ec{`A20XGePG;~xijWQt|s zY+?1)l5GCCd{(iWF(}ylM|yEW9!|#It_YdooDRa6?ae+XA7hChKa>|1s05K*2RMR) zf+clzffb4#l)(!}A+n)uvL}j{pRw5E#5m{BV|(WG@aPNcF;)7CgP6=p78SjCt^V)i zFggM%hQ!>eVnt5~R6a{(D(r~_g!4sH;zlady;@-@^mpaw=J-nT)On)@PaB5vB77b+ zF&<%tFv+-JT1=82;Tp3wO9ox_lbcmbcW;_xMLUC))GPl{*q_7by@fx&IB4Ia?)B8)`HfQe<3(pELN^iFE?<{?n_MKuFTzV$EpnvLJfBCS zN2C`fYpv;JsLt3i6ux8#5m(o5h*L)>^5FNQa(v{!JLztXy|)SVp4}T2HhEAitd;S~ z;L~dpPAeZxKTpL*Cx|G&)(Nf$k)HsdOcXq(G9D$n_Vy!bl{5C zxoErGk;R(@!T#_lF6B6`Bjpf;B)zjTkAr?n$PT#uwl~y`d1y5fOx7h|$1wdbo0Dvt zd7HD~CcFGQTz!&%K{oIAy>RcE*#pa_`@;QXa49X+$IUDXS?-RE{ z<*A|3u2fJCMpcsOdKu&7Q|s^|khZISKUMXb{3MrTfjL-`#Gqm@2bt+>%Mv4@pI< zq?O*UXR%u_CnnEq)7YBVKP?f-Mc-l-vdj_vf_q|fIdOS^=8wuud;i5o|DLz(k$2FO z+ZU}yN2C+opi3_0@KV`cV!L=rxG9f8vKT;OQD=cvmr5!_Tj-zen zM8QSKk7T!7eMtp`gk%qzW*%$3zGI{En~^?p`9c}h(IQabWL(z&PKaHItS;i3)mGEy zfMn;Wa0X8=i$P3=8kH|{v#8Lx1Cy}X_#FiC3g48J1YX!9LmlgsXqyzPVDI{`w5D~H zw_L%tBrLqwbbO+MbI1BmZcv-f=hlybOzhGNi8Ci>D$|FpB=WXgH$7Mrz;7raAC0Ci zEuHVRG+FkQSMn?iQAIf!+XF-k2?R2x42Bf1*ibin__`$voFrYYRGe4uu*Zm&Zo-wZ zV>FO*ym_+_670Ka{6t-2Kv{K7xPj(i%P9_CdS{)PPm7==G^S!8u6p4J6gXrTiz#Oj z`i&prjDWWqt?2Pb@%Tr|8MJY0y)gvbXMBz-ETqD_0+t+Bn)$mBj|yi_1QYE6S7lk; z(1E>Bi132RV^`?no8QgOXTVv?dg12kns7NQdqi=AOr5Q|M0#mC_eB=#?JTw++KQSGwL$#sXyL_jErc48*lsXow#sAp`Q1n_3H=;Caz@SmW9H;-BnH)jUo#~Rzi)iyW2GttY3 z)zY{5$+xE1Mji^_E(n%-&m{e*e-&@BH%Qqjsh|!bli`i>ZO5FYzIKC7umnpYWPC(3 zM98g}vt5pQ;ZtXLgFLATp9BtHYMt!5Rn>4{K@g*AfU9a_+0(MYP^j+kw<*kn;@-2f z$)`h|LYJ}F=;uJ+kJK>;a9&vZTp+misIiY~VOE zy0X@=Cjs>$MD4~VYJRtaY0FxLd-F%}CeKALr=neV+Xz{V6RTpwm8key*0s4fjOD6m z2DYC_SjP6O$>40eS=VSbNn1H`;cj*Q{F+6UXulC65&)-B5~ldwc!$$rD9jp8IH`Sl z7tkW~httcqd|sGvni{_TwBTiZgV`*!M??jSJmE7qtzZ}l$d?5)2##7{@oJM^vQC^hf97)};^mekW)W z%>wXuYNTsYlXCO~Ic+eg^Tj6|q25BfTvN1Oq^rnH{Jkr{nmN2<6M^zPiSsa#T-xt; z1yD?#Q8||bK**TBLl8_^2?BV+7)-Vqji}^km0D8`&_AxAnVl_!N7FLd{51-$zan4E zN*fNLzw?Jex$EgNr>QA}!z~xfD_QT|@4TV9DwI;e3`_tc--4;r122!?_y8Y8&rHZe@Wca_;0_H-xw(*f0;b7LWRdT zI$}3OTENSH&R|k#qk*2{B)K{o^Sr3(E_z(`Q!_iI1T(q35V6zT*+-tY+P_{UYrowz z<@hrH&HTjiRkh8gsY7_Gru-of%2jUB)VY6r6Eb`^+%;+z;ee^H6=W!y=x)_d)E|5Gz;erF9a|X5{MSBJiYS+rXgWd(J#m^^5X>!O zF&FgOzjP4puXpr`=CqeUtOlbIR(tSPMVCl7fpN(>`A{N~_Ni!ZOi^$yIEu5P4K8FX z*84jt`e|c%cOZTAhYYE05Iay6i&5Wn{leLzni>2mLh4IT<=YPurTZi+KQSs;=orAZ zPL6E#0e*LK7k#bLYLH3`^LG`8Wszs{Awn%9{s9{Wi`C#?$+5J< z){Xmiq}P50xwC~WoDFr`pEkqdNAT1&%WDH6&Blf|Ixqp&F57DA;$#f{1zJ(xR=B-T zxi*Wmwx?6^>DDeObn)(k$(B8vq@w)Zdc7~P_#!`wRFsg+uXwwsWH`%YULuEwFITMD7Lw%vbmf`!|J^^+-e(zXS?o6le5e>9#96IYt3t<>b7O;y% z1s4E9aZVolPG8g;g8U15yPXWx<6M|71;$>Rl=P(qn?_rL1&~!4gdTyi<~w#x{^I|x ztkOgSw|KtIpp7JWlSOu}s-*SWdV>xd>U!l7L9V7NxOlM2qQ^r~Nr_z&%t%`Uc<1xQ zi;0k0jqRwUGY$$&o>W)sQ#~T~l`Qr)i0n4#m#v$* zYK@0U?PQ>?fk!t6JaUNgudmtWLw}c)pgJ3IRJ&x$$-97(5RTyQWz?Mbh$7-Bj@oA( zMPr8N<$W@}%H8AdypWUx$gc>JU%$JFaph&L`t5f%P4AXhfV`96MfoWJ>-bqoxk-Ns*002@6YcU^h+fBh1H)- zQah`ci1vMfQ}N|q)3Maq3QDKDstri6nJeNmgxg07d5 znq@c^Lw133Snj8*e&AXs{*)M-8uCXPBHRD=w+`5NyglBB(I!W6)`tdSeWlVCTG9g7 z12j+d^a= zQjxSAU*3%57hp&9XR|kXhD+kyJ>`}&j~Gc3Prp1B_V zTgDYb!p_l$h?ZtoSjsKuB%g?wYn0}#zT2a83yQv3H__c?YZ6-`&8tfTmPqebe|(4@ z$G;@nsZ$-b-z5FxcvA0CxqYVHW35O$$k&o_3xiRQiQ~FZ{ET3?*N;N48Z(F_Ybx>T ztabF*+xPbyL`GFR8%|Z8=mLYhlrg`y5y-{$If?^ci(zel_h=HBNAsDRrT2QmAOovB zdy_lIjvYbEbj1d`yN9RK1_50!nIk(yddV78m8xh&6X-Xd!qU}@-#)w(JVE8qudI?q zrku2x%=#?-BO*B>=7g8^_m5RhcHEmzF}*>T9p^;IPOXSY~H= zc<{~hF^;JPqbg}FwAo2FJyWOpL=RIx-@8r|FgT!cwUsS(5J{8eoaSs?wr$f2MjG-R z)Ku4`dK*)+|Ao^;`+B5X>rx@FT`JLSd0M`FH8t9hZoTJHcFnFrg^8=^xC~I;i;n9o zBcR+`I_tm2d#N%2cvqeRWN$3mbOF7t0AR1M+A9SXLZ>PqRC(TdxbVYC@$QN*g^IuJ z=|cU1RBT}7fr!>Av3lmp{>$tkuTn99R_fhM2J>rjH~ZRyj={yiY(C93(n9ux+^a38 zGv^0&omW2WMWiftdYpAS?|!2{#xelWSbfza-0xx-`O?3n*P7_lLgM}sxn=hi*NE`m z5pr}iO?C|;_eAf12!e4^S2GBrK+6YE^53G}vuOteHx^HT*jKrFm!toig;I#UscS$* z2!x5t`J0n955Een5~|R9E2giCy9LX_zBY+_MK@Fr^cHzGqNq&jXjHCkx;4Xi_Q%sV zvc~qDOXGb(&c>f{{WWkcnX>>%I~TWqr{LVxyjdt+PON*`MygNmDWSbO8>hFS4?J9z zc|M5Kf35oY#BzG2G|g$cq0<~b_78#g70734>uasTuiV^{fc}!sQ@gM{cVM@Du^lWv zJv-63IdKH8x}2gpZA|vrg!;Z^5bL}5*fW(!a9kpi5`YA-*{O^5^_Qapl^-#&8ykk^MMc>@NeS_>rxB{OFQts9?) zT(m9qjsTy^iIpdpg%ydQ+{6rj)@v^zO4j7|%gz;)4L$L&h%k!!@+VD9>XD!72VT{1 z35fwv=6HMha{k6DV<;8#w{3Tecc_K>Z(>4XL;6Fma+4PE>sq}EpxP0c^w_2M_%d@+ zI5RKZxFC(gaE;)@X_bfcWnU9!dk1^&QVFid@t&#sag0Y?%8`G{EZ}o8ExLdz7`k_c z=@(5>bw1x8J3jTe+{Uav^N0tMB9>y@4Qx6JeEjpJ*qQC{EhzbRN zyJrNtqgS6LKP!#PDvh^>3IF{7Uu5;2`b^?%q{2Q=kFLIS-<8<%fmS^Udh*HK-5yu zFBm}=FJ2T9ho`)t{^toV5y_;r>;u!Bz1NW4;$P=;Vb7aOBGIamuChUjNZ^WP~;w^@&gaK?%Z7Jw*zxgBv-nT)Mxhj(Hm$$=h^2m3l1 zDmy|?{AvD5mAPrni4?lHeBKw+P&ik`)yM@l}papJ>Zd~Vy@Dhaio`AtO0WY11M z>^>-##Ip4rz1K?pM-wD@g$JwX~YsU`3M0H4o zQ5!G<0&;G@`?k#K@||L%n^=CbR)mOGFD7;b3XwV5le%m=wAs6e(Q@9-qMN=P!;Hu5m_rWd-VOaGSe=&BGIK>Jm(gA$-L?&)(6l`|295C>JfB@+cC z8amnp&T4BDEJ|g2nPqgs=|g$8D|^uiuBj`IozlC zIKH?=vJ>?DJNGDlcn90mS-WTXVxE~+Q$g!ZBrWRCP|gio4@c1<9#ps2nvnIS1eJXIX)s?`*9)L^|6hGfYg#FZ^V$0U7Le%5{e+nRyMQSD0>p@+5a0XJ zsNvTpQ1WTkJT24eQy?p2 zh181vZf`?BKf$rQb34PjEIT=I;(^hUdp*wR4xd8fkjfBi>afQ$zoxm&=SLdfEs@}W zYm;0<&T3-r7~sxsR?Rf7n-Ge#>gnl)+BxKOi}5q6#+x2X$w8si_!6Y(==q%ZCAUbk z?9e)rU;n?Wt zer-a9+b1|i8h5z9RGy1nA|pwFB2V*azVWs17Ka2WTq%;WXD^^Yno;@u0RMSm1#r(~ zRX+B7mB+-s6!-o211()WFPxsMx|?|N4~v37cvR@J6c7B7W*-GCG7kxla&VZJJNK&x zV={(6Z<()YPESlo@1d{xJ;I5sl@5Db*s##AARHfkt+V&$28)_Tv_u#YKuZeG_FIq2 z6XM>7hoQx<$}%RZHy#(FlMLP6-M?DaMVR~xiZ5BfYG1JEOBmyR+(Q60U~3y^sU2tiObkRa;mo>XiR9^&OY+_e>6<7OjXax zJC{MfLycf_$#0KN#$#%4j@`%d6?r9F!QxoH;>~aeD86~JoOU5zC1IIV&RXdlLD_U| z(9wLZ9*|9%XBopn=hCEK5<>fEmi?0|x8x%UH#-YEXU%kFSSa1LwDV_GIIdX=K zX2*}rye9yY6IF>U8`;rf8&|2Y!XD@KX$DLT&na9|;uRG_2Vkth;Wu1Se z5f8$gy~)j_t9$?thNU(+ zuQk@h>@uZH%_nX0Lga2heLgx?=A3nyS5?=H3AEU#Z>V(ph1ijG3R2G)ZK{sz1awjJ z5)WtD4Dqm$Xr8}k~ppEhLdpaaoKGGO5R3@%Ew?{RY=&BrS_&2$O`Evd^wsAc4OUR4xVeT388F=y;;TGd zu6H-JF@7&8c2_9=n>+yZc#TctQ@EV|k1A5wbPliez*G=m_O1LM?Q5KJxp1#PtsnH* z>OYqpET69YGbDRH^a0#du>?%;f807fz~$U?u8n9{01l3baR$YfuqcUK_CmS|BmH5_ z(TyIVRovq~HRd)&^WY@MGM+KS1zJ}ULxUI20e^;!8Wb1Z4{1#iN_IQ}P$$m0jiuwi z68LQ>Ne70+^M$K^SWJAE)E>O-;T=k%CuISf>UM*EC&SpU>yvt&n-i9?>dPMWZ^&v8 zLc-P$9vFc=YBLr4RkW+7R+L+4(>>U_dn8FxIwKLJQ-wf$8?M@eeu`t86ucIP2Lyy5(5dGjnCr_6V71$4oi&=`&ni}H2rieZB zi=LD#YdF*3M!%bl7wb(I?Tu9?-0ku|T08ixbXbPTe65YL{<{BA-idl`L1^*NV%k6( zvo#i9S)&Kr4nTW&ls)$n`H#*>Lk;v`s5zM-KTe#%3DIHg`Q#~mn9`!nX=<=~IvBm3 zl?aOL$j!%T#Cnu_E0P$8Q0WOiKAsPPgfw)8fACHA1=YXp-+rDN-*5ryQe3d^t)ZDK zoa{E&k<=&$Hk`R;T!isTj=Q3JLZbgi>1J(@eQgXlaWs+j$dh&UWPe?5isjspWsst> z5Xe@$k7WNmI@7xxZ9*QEh|he$>?|-bF=2Z?n#>=?mgUd*6VWR2@ec)Fb+NF`)a+W= z$lpkab5We@r|*|Gz}oV(#7<@6|KS)aIdudsFsXFv5E`o;o`1o865*9zTE40Jv%jAr zW|OevV9ercrA!Jlo2fzP6j<+p^}--gw_J#hUg4Be2&f+bpPU2TxghtI*WQ2^JvnV8 zSgY7jRC%CHgFCM_xbD-QmOc>}r$QRgrKY)goV5GKoNJbRr}N?$>jFJM#m6%jRhPj= zXWxt#v8v@mO9(ir&Hijv_B`iU)ML3Hyzi|e9d+6d;NaC|ti|zo)aG2vrD1wV>MUoz z^-Zg~Yps9~Fxg1`)a>#$%T6Bi`R^TKygB8|{A>Q>)K#g&d;*;FsN_=dJmC^(+fnr! z%G@L?9Gi8He?Sn2@~S~zemzB#Gy6q1nga(Hzce@ZD-}TK>du447n#Y6_d?j}psUJ#y-McWZTH%}t~6X? z(=skDY9%j9PJGCbCJgXD+dq$h$y8%t!#LyLxUOe$pvUR}{Hj)iixSzSV<2X;W2M*)cvo4rT4gduK1y7QfuoY{B#SK%3>9FAK0I zj?8CgA9CDte%Js0#|bHOlRLdHe8ls@QCB1`hSt>6K6=Ex6(;o3q~cMhIqk{uu|c1p zLMBu$PcSV!vSS{{CzWZ`CI{MFleLmbv7d)n{g!A1t$D*7bsy9#9g>lhe+I*ZHNeln zzffGhByIg|_9F;O3VC0=5r2;cdMlq5@zo#W@Ydt&2imTVaY+*4|FLlz<41U-(YxSW zV6$ZH*xUN(w(4nX$=-WO9DfQT|MIjwVE*MB{##dK>s-% zfVy!kcs6a|qmih$7Pb^$KWM9$b*XO|F8soz#ye~iLHR5KAPz!6zZoZ)xJgO|5%*wf z>o-Uft`1(ue}1pm@G^Vhda!*+sR-@(Y~q`#*0w7t&1(%4arNufK%1SIn4ncqA6s@+ zGT*(*dNSabyz?dL0XsgK2QvqjLsy6I^&LbSQZpC9t;s||bT_#Ng8>r~lc0XqA5g!< z1L?A1e|sqCO#NT3Ct`PUFMFo-21pWcqHu|3#z15UdK7*qX}e0w0jI`-UZ{24=iJ23n}a0$4Y6}54pm5i4oh_B>*oXL_gJVW7QPW; zUphG8&jG=Oc$GX(+&^3f@&{#ef;<6XnwPV4zh^oStUGpOXU{1) zY8Tin**PK3rT;sgS|LD{nVQG*eh6w9d<2MT+SMXU(=Ky@M#mgj0kN(s8Xdj09({I? z9YT+=l#A6Ag4gx8W}d(xBesOk3~vB>Yn)9U*5YKyqM8W#Jo+>hjAS|kD>HAZmi`Au z3xRRZ*0@<=eT4$fwGbp1poQ;hjRx{^_g=sp2jLYc?QCv8J(?L;5ilDOi2}td*_*it z_kp9k{v2?UK@K*ta5<98YQOSb-YjHUT;km`JRR>@;lxYUVltp~=~vea3%4!FO~M z#km3eIo8+gySl#kkeJBvsI{iC=v;;7^6+;C8~2^SwlgUX^VHyK7M%x%25k)qlU@4B zujtD3%O;g|M~-$eHla+Ru9vQN9?WG(vMl?WMQfuDwi~3&Vm@8V;lx0y?#ymE6ZSoB zK4-mX^Kd#kl-|axWo@zNEjfufPn1{J_*pz0H;C=eG_KfpFG*oi?taSO0&6Lz~kuFo*;&2*!~e z^x)qJjDGkTV1LF;cH`9Vq`^ov3%!`A7IjSmUbbsj2`pTbEdsl!KZSE>)jL~x-LIM_ z^$fpOOJ%GU69rv(pQzm-7RV>gQbi;MDpTTEv-l`AxP>2*oEOiSE%sk?10oJoiM!H9 z)jycVxE6i6h&Xih8W{-d9n$&qbps428j#G7QM15B*{)pWJH%=CULI&RL4V6lB$1dHiT(YN}V zDDfL0-JqRAy8*k265<5)qK#p<91$+38stS{#`k*?ouu^e(U@^?5x9=uU2+qF3`9*6 zgE}ERLLxN*Z@*J7a=)o$aN`06B3W3+75e`DqXwZ(kw(LYgi$pV!Pu(C9+^7u$wEscnJ%+r-diXIbGI~Ff~L%-X@>BHg~h5*=%PaeF3i6C z+9CghXleR|nI_=j)B{uQbT_8}+$$T$&cdJ_V}V8}e0galcX$QSKi-#iPi za=w$b&DC)AGJ!Yu@hqGOKVtg~QD7d0B5_;xjXSm^G88x`5v*dQnb>#fLz$?j>JRxL zP{70YD346RG}e?(od;p$Vhcg11B$Qda`{e~Gn5(MA^fA^jh|55d7c;dg^tg`?DQ8z z$Y^ZyO43|8j4^Z}{#Z5bvJQs)r%Z8$G!w7KzPH!7Pg*>u2eY=rg^bs9oXlL#GJXI8 z6;ila2Pouhxk9NHw8Gs5j`xhMv=85bR|*Pkdr|H8@grt{W5!as6M(|QjK|KnnfQ4e z|7JSdVv+`HbFypp6PT0V3DLAsrdcUrkEtyMHBG;chCdFEa)+oR4zib^tZUDK=;;XG zIE=F6;Z=ie9J<&C<>0qXP;ZXEu$dO{{|esqELIj3a5U)?%#k2e$g?BwE6fBRvk@ct zm{$_K)r|>M3Rj>Uc|e@i)~IbveyrZSKNU3BKC@l*Elw%x#PM>|a_fH2y^ErP?W+67zPm4=5ytb>)NkwKX6j znT1=Fm%KLl4)eZ`q)@t2JxEDFU_~2&dWgZ)4=iSNu>YFw<_Rt+JIUmLdr6Q0%Ybv* zYW7bk>(=wTHr19**aaW+sjwjt!j!ILxB7vVcl~*mNHk=ORkmr|0u-*!7C_1(neDKC zqQ&4tE3vL*qCgFWS?M8@%ctVL+g?W79A7tdUZQ)FL3O$0acl&S-b5J7kZ|HB?X;*o zn^D;|&)inEH*Bi!)Enb&PkT{A|K)M`T;?p0b-G{~uNq*4pgjvvSakc}S{eKz*$%I6 z{3RPHtXkK=o=!5rhTYZiGNX(GAnHn?nL#CK>ugCv-um^9H`OOxW&p1C4uYWtB7(pj z{4|%X8+O3OnMI(?Vp}DbXKVuxH|13P&@M9+&=pPx82ug+6-~zSyoB$4Br1llOIy`6 z6o2V@blfAeDChkHECdpL!lNa_h27a4r=}XwwNxDvpCUFwvg-niXn33Lthh~V;xmF< ze!Ixq*u>kriC>+(kSHeWYlnji%g=s=o-b1~rd9^Ie7Lmimx z4GPC;YIJ-Z3~iAF;*SLUf0JVcCWmW&j_i4;$lvY4$uFi|nWMAL!`HhtOc}&iKI&lN zJ4I1zBsF8B5?u%O%xXvYZvEpKbHOLl4E@TryKKe(RewOju(di{J`@1>m*-ix@U z8(FUkuCr%aXhr9P1(F(^l`Al{IL-czC#>h)RQ|_PcvZ5I8A5@Z_zUD#l$@^r`w(Zt zlHp+TPUpaFY!YivIikT?bT%{>uHV1zv2Jr-c-xJP9S<-ZIVtUPNjD%wH^n zNaw|bD7ssjf$b&YDQ3eZ1|^1-pv$cjOB-qJ_m`O|d3bsGI$^SAz?j`jRtQp>-Z99_ zn?H8{m9}y8@pI*=JYr?_trGGKulcMPp0OlxWQs&Pr|Drn0DNdxG@1DPL8k80v~|0L z_089E1;K4M0_{E_tnXI&5=7#7w=o3X-~4@d?;BGu^(`!Y0}Nhi>4VX(f-_O$)P4bS z73L-Rcero+-&Qca7FCi9LdiXc_Aj?ctTlsouFu2~RX2ftXd-sdoBJzU&{OfQtIx?h zL>gj?lVO43nQ}*&SE)$*7pZ!s8wEg72Wpzo4pX8IF@E`TuoVfV^c9@^5y zX06%m7H=5|7eGR?YdUTbW#Y_*Nw`2iY6MsmA*?!24AztUKb~US@Ua%ewug|!I@Q;X zPeoNMu4Uc#k(ax{-&gFQ!_@9arZyxod))i6UW{S=!$<5$zJZZE#S#1c>I0W`7sz9( zjJ#`^84VWl4Bw?@Z%ULGUEPYR#DiDnKf?y|xTW5B`uiXwW!kEo0+$mgyKu+A z=3{~Vm!*TZGTRZ#H=yNq43=Rs??-Q#&j;){UT)1iTzw=VIvNwMcqGu-Yv{o2=&vkG_eNs}MAF%kHNy zHVy8m@TK$$j*6Uu_U$LwXV+v;3gvm-ds}pA9;@- zN13T?fQPQv3+PI(P*Ae9_UJ6my>$2(mReBTl7gPPWAW>_4D53@Jcjk}fhUIw8=WIb zS526s-ZLz`R%eb19@#1ZR)qz`j|si9T8~fooM{O@4uha1-^>ea{YYxb0!-)NKL_^Z zEXZ5+yYbq&a_@`_AJLu&ztua^c4-OX3I(PpYG0DMHNm)1-Q}7`uojr?Ewylj^>^h3 z(TTqg{Q1BPbhe58?E#sZPs}I{;UH1U_?Vtwwb3m{l@ov())+m;yS05sMf_p;YkNF| z@%OzG_s2LAHEB7*iL99GZrs!CskT;cEx?2i(2&#ChbB$r=0u<3Gy0ybqm?U% z?l)ct>dXoEfj(KE(}E*U>P25;t;irW=f~pTe{G$LVKKco;{Ov@;bYO!i%}VbkHod4X>-UDr1z-tXIg6%1YVz@!O_f}`*jA+^Dn~A6aS2V(=-)K&Z5#uP zK+A*TqsgU*C|^tg@wg7kTL)U3x7cCbfu5dThzjg>&^<&i2wCu*+AF4|A~sbM^Xp=)#ndy?U_O(ob2a(!3ItUjV||$=tjnm1d5a zHj14euv@Vl*MR9xp8J&vXI6wy=Ox(#0(7FyGDyIOcz}u8)gW6~`Hx0!R|gHlA`^K$ zhKg6JRi@yDRLXc6l8@P-q*2eouRid^3fP0*hVt>~+ zzgCX-DJ-y@d7raZv@qszKDO<=H?@7PB8k?uhqLZaXq5K792=eE^S&RlTmG_!={DV4 z3guFG*>K=W4!b-XSe(ng%f7uAdBnB-n1KJxLJCmlH}nKxXY}0wy|T&Kp+=j|Pr>$< zmPwLeBY%`=|2Th3F$>rKC$7nQsw?#;hwER(vO!Div!O0>t9%?PKU}n&wA#EDnd9uv zxo1IVg|DT~^IWizUKC~xMnkncKk}&Y5O+Ydh6C@9OQ5XArmVP$f9n8=|6NPpRw7%^ z&nPpiu${BgP?d__yt?)3nZ+&3t$WW`Gfbi23B{1Kqh8Di)JvXBt)550fwO6udaO^E>e}EyEW?pp{&Xk=x~Z>U9VOc zP+3!(7c2Os1O3^d9w*f}?0*%cF(@r_h-Dzi{S`65vwrxXu6>ZrRIKm2eebB@6K>)U zZ}SyYM}A*+H=T7Wx->a*qnV`_GDgS>p1RSD`(Nb~q=bvaYqiUV(1Zt~Yu^^V4}%DI z-!nD+d|TnK$CSnCEY)F%mz z2X)h?(M$sGWv?jS{^AgRQp3hiHuWbn^uP%;?CO`O%m>$K`=NqE!m#dEv&JH9;&9FN3FEqgIr~fjHTMB4u)o|mq8kJX&q$<46@)22KcqrhZsSmutWAovQRT{E{ap79 zHU<)b&1@WvlH879+RmrOtliJ!|^}sljVd^j!qY6AG?MtD$6~EaZH%uB*X4x zH>}pARtarb{S@=stWj;hqym==lZRVBf|qmXG%h9!+J~H$qZYG_ZFDIKs7=Q ze7V*5Ec?(~2|tb6Vg94D@zKV_ZQ!_O_jzd^j_DYog2S}T@Z0RBh=4M0zxv@)=gqT+ zsw@Y89U-9mj&_>m?61xB!&}m;;O$N)ot4Wr(9Gbtr8(Bi z1&?cTvNed#(%C{>~l?+zjNdl2{^rM5dm_K)s z2=_#(4G0nFHvyEQ#2rwIc!mRyoN2rS92h#di)2(w;Rt7*qCI$FClw09zCB+x$0~rIP8Rnd%sY9+d4xhOE6}b>^s&$;ocSnqnq&s`+%;P?bRm zg#?|_!4t@$@{zon1>uez6;M}x*s@QlLw6?GpM4KKBa+>_E&Fbl&^F4Dme0TOlm_VB&U0C6ZtF2 zyR>#h>>kO;qxG+j;bFl2P&MK)_P2?J0(FUnIu8?5Qm`h|p{GpUTe;1;isG8F&IV8& zsCttXOI-%8)ph<$KuLubTYN82Nh`6?+WAU7G&-^{-a2kJ7V>v{lQ$z89jpSvzTW?= z4u65V%}-`yn6Ni5dakwKmm49&AMMJ{##7D-4*qDVS$ZXFs4Y0Dzc@9MCwUqLKWnBq z!@2zF@rQNl5VD^;G4Dh9q0{k0=K}L|9N;nLG9T=rqps_le&_d$^y1LqxdK{Nh=`{+ zI3~AosFhmkg(IUREAMm@B7bpX!Y#5vrE9s)RXD|w8bd%)*ftG?B+p#?-mTYi@?SZ& zefNI>xxD0QDd>X>Um~z#hCzGWcW$fDKBN)U4{HOX?Z5Xy>n%v1J*?qV?!!PWn9fN) z&j5SYj_2-ZxORMnJd8mplA2+G5&{IguYDEy9|G=2r_LD26{-MEHk$2^5r6xsgdbp>vp^I z3XMy8jlLcWGe_dd!^SB$_IsDT*9)gYZD$i-JSg~V;yW5$W&QLs^Sjq>$oY!5Ish)kbO?me;;B4IzfuMXZfH`u}0 zeQuGJ`65|Uzd^E1*RPVUodM0wMwW1%EC#B%j^Ddr z8Wx=Km68$b;W5B!Dq7=igLj?4y{70uASo8I+t6OS94x9AsPh|64w0#7$uDAZ7YGH z`j;Zbl&8|Kh9o%n`OIoM5S?QD^!E!uXb#=#QY|ax!3z36g&BTAFT)3-w}q7 ze%eLd3iHYm%gh&8KtMGS(NgT5v`@|GbgOcwuL2I~rQvR|^f9BE)d!L>peg!XEHn3->hRc%_o6yCvx4bL&YVeSe|_1) zuxa&7x4G=;Z!BNHt`_c|AG@g76esqvJOp9<83HX5tXl{N2lCVp=$J67zSBD8jVjsL zplko~Y9KfkO$YB%EJ|`80LNg`|J;5YIev50wpeIUczoOCVSm9ye8wo_fw$^PLI&VU zlW=7JA`5P-a7I)`uH0AAK47ME9hHnl4?rIURXi1G>wvOuJjZfCQe@rf*yYH_zn+Aq zV7PtI>AZPw#b=gz>^&Mq{!*$00`mlpX}zM&zE#II7yUp9LV31TE_Pt@Mw(;;21krm zQ18!vpHlOA?t4c^gnxd3iKIbAedIO%RKz4B>P5r(2X!nRe}7wWRnx+Mt(d3M|U78@x0_<dZQ@Paj>j46B_WL09qs6j7S8y^(3WzE@%Vc(o8OhObeRxMiq$5q5>;CrF{caO;0`Eqxfjl`#2a^ZYh*k~2 z1%UkeC;fB%_m(My?vstnVtU0tTNwSu&!5O#mqFZ7a)Ew-Cj=m2kR1=_O8e>Ea0_p% zE2NLH-P%Id&p=EEm!E~9=@t;*Y<0223vU#G=q1Lz%HKYp-d;kxZ=r=d)HLa|iwz&1 z{pvsK>E8j@c%J&%B70% zq}xLdx7D7xSNuI&L7EP601{;mI7$JFlOi7QdkRt2<G4zl))@@LD`(Jf|Hj54YAFloaD$4Ht z0*2`lkdl%vDJf}1q#3%qQ-q-rX%Iv@hE8b^0cq)GMq0Y0r6r_O--ABC|M$JG3uC#A zxzByh75mzIAD};Ep$~SH7Q!Y3O)`HgQ_gta7@G@g+OQ&E*%7{gp}9XLgb>jMa?EQ2 zX#VFz{4emdH-&$_vsC|Vi=)$Fp|k;Kl6c{^x_8_E&Bxmh$$q1JxSA-wxTDg?e!gz{ zjJgb1ORJj!zc)YZOMF1uq%zExYo=iJpytul0K3E^FtF?!9hJQzHjr5siRgN6wD|e; zN3UeI+Ch@-3((lmhbI?OIG}wIIMDRXU5`7)?RAT*OSmo<*KvO@bN12*d3)>db?Zyb zX*?g;r+0TP@F&^7YX)83w7r8a3z*~cQe?}xWZcII)?Vn6t^uig*<+cLu`s4rst^hQ zurgZJILqIu){r11JX<01^gI~sK+qSd2MmBHG0z{1)P%haU2*__f-V}BD|&V?^H>g z=Zt`ibhKKd`0UH5wb!59Pr+f)>-i~*&j3*JebA+cjmSOd!zC>XBO1|s~~w^>g2 z_gn3d>m4IzNf$y>?yB=3g16v(IdB&L1imVB>4$~(#NemOr))END!>o%&$pwlNGp?< z3TtonjZ##o;vS^8x~S;9Y;x)7bu(62Gti!H+q>gm0GD18Nvz*nw72;;RpMue{fimk zQPtPo9xycRi?>sc|J9uQNWk=1KzQ@w`{wiWTKw}K^4*yur;Yg}y%MkwSs_1VCTabJQfOCnE9fv&9{yMuSBUTnc8W*TG=C zrp$tmdzN~=C*H!6*)NamWIWCq=!87eFaDt`b{Y!6#Uvc1_f6^jC+_Gx*;BKjBU!tQ zhKYrD1QqrL&hc7sD&s=l>gSG5(HG?K$7noN&}=Vhsn;R2NP`wTl-48uWE%N+P$rqddL$ZQT}+3&z-$(Z(f()4x`tO4LSw(YKM zj(os0^YlE&rZ(QY^T6r!S-Lj)J+*XYsCu&G1;~K&&9S<|N?4s5kC+lcvocG0XS2A# zw0ytCHu|)%Nn(d{++)g%yWm6UcdB)ul2##!BMW8KxTC`XwRtIYKhrW>_dAs}_!>Me zRbMz(A*!y*gr$UX8)qHPemTDwo5c3A18?@jo0_rz?-F_0Z86cCUbY=)nkobH#XWO) z**AxZLf`f4;RF`*PxZg*eXU|K^#0HKtta!oIElhHdsm z`!Np~_S5`&OZuMRYZG#5Rg4=4uh%xf(G)j*fSAKW?I51L4yg1KQS3RV-@DZ>(!|3f zBn^R?*QCEvbpU;1Yki|z4B$04REt@sPY3Nf61m#t4*-G`CdSaFS1*7yiP%hhi(*Mo zcB!Wz*Wt z%7NV-S6Zs4z)0|Rw9G+!Rt`k8Csbs23@xCIsIC@Xd4a{gYu4UwNQbT>tN=|D+rU4o zDR`xae8;qN{4WGNpVaQ(=1DQ%FY?V4q@9$aRG=K16Iy;T9%fU}T}2Qo_@% z6~hzv(tfKbNcEdT{1car`xvO9-SkhNKJ{$5bJ8Z!Pp1D17+8CFoK}q7j-|ArIgi9r zzgP7?O1Rnla~beky6sH;K@zh%jBw~-63sWtsA^Vy%=+VM{L=S9KW<*7*cE*Q{D228 zZ|2b%w8~D1rZCXCO~}86OXaD#_zX5yKr4XQP`921jOmHw`(AOQASZbB?xvgrCc-pV z`S&L;{VU%ZB!*5FHb>^;A<+NQw1Xc}9_};Ib32>?Uz{kQGkcYo2o9Q{PPT7y>s=GN z`d^}0FgfGJd9bTUjd7d!i>aGjQ9o@e$?uN9FY%4@a1s=6JX7kgf_d?GkqlGd1Sq&3 z^*;J(I*-lL{vBWxOKP8l%xUiXvy|(nd4s?E2ZvmShgwB|eB*6ZF!A%T;^Goc^PD(I zAefG*CuMsuMTx>D(mn_Jn!M_QUump@t71jKQm6fF&R%$Pf95yFVZg2FpXrsQCF2bI zo&B8;H$NWTcVdm1kNtBIdn~qeET%QN-B3-rOYTks#p@MzCav!013JPM23%A@9S}rd zn8_M!3f->UdBpEM5|TU@23}dlOIFsT01~8p7w9IG$l1GchBIRsde3;);QKe(^D+23 zYR%iN?d|h5TOVqH9QwxQ1IV_&`g^TS8XJ0!Gwu%$gRN*N{a?eI&VBtx2yD6IL4%rq zX~B_!7q0dSNg{_yofSI~4XqHv5_jQ;QV1+YW*ke(CqgHv=U4A1MlPoj0<1A%vv1Mz zYe+%MM`uyoCJ*WDM!KQ|lfho}DhikC%^|Mg3!`wiSXJX);+`!V8YQ;6Gfp#NZr`wP z!zj_6{}cIVwSBqf!!0KeK8O$9IbhMm{PjzH`h4@Rby&>71%7RXQ_JrQ0OuiIKXYok zWLY{jUh2K`Vk#|d${!tsz)<>kMgzPG1BJEZ&G@FlX}g@HG0(w&n2e7=w+2)ob)C?a zhMZ~aM!?#A*8WG?k%+Cx>mBOY#r_9fN_4$D3)pkqbXtc8c)>m&sy#?s{a$eZUy%d_ zZoFMcZ%RB61HSwJJG$pSI(C+S4{FVrYAir8SrzU%{_*S;p(0)5+^3tQMpBQp4=*AN zJqt+&nw0w2Pcl7#nn<0F5G(HmU=#|2G|=}oV!W#13=EAoc7{Z--n`C7z+b&T=AahT zdHSq*6crh0zdp`s`IM{=OGDEBg3}{^j{gh-Fkbx6vG~ZypPLa>k2FGhG>}D1{SY`e zLV#id?zZz?IowlB;reyw_zV2!0uBytTe}~k2d0?%r#byObK1P?(PGwj#Vb~Rj&i>o zp5)-MqatF56s~-Cl_X*dA-K<3h;q1b+UIAV@fqLZH3A(4>us~s>m;JU9KQ3#?6dvy zyn~`>=z`825|ps<@9^=XY#5bu_s94;n|Y~ zdxaNNfh4dN2i0%iY#WxKp1_q?oJxFl=yoA}q03Jd#i``xM}7^ey)ECs zP_juC_L4+Cq91sms1})}c+O>pJa?M$~R<8aZ#D#5Zq?@uD#2F5y8Wy=J&UC?kS2Wf3s%xlliZZU10uMrain<(V|Io z+{x_!YGzf6-4HW(YXxjqkK@jC$oBWXJ?e)kh2;M`XDKB|JHkr9cW+nd#@uOb`Sp&TFTMW@gaO z-`i{|%RK1>;QHo&TM7U`0I+q4ee#y)g>JfAaNq_RsRV`F2)*lqrQ&I80XvWKIQ zhea5$FD-rXR&q-CiR5(1+b)J_6tHwKUGhI{-l7~yf&trWa!@Ka2m&thb=paUzKMDH z+Nx~q@u#fo-%r0dJ!sX{&!}-{6axyimgl*A$@d9R|Cu|brDL%=+zq?SG!#l+jD18{1c)?4eqK#(&! zgBmb~BI)p%d!_n&NeWr;=Z~ML0~FJ({%lS>JITL`gDmA@kNdlo@Z)V3x_+%C3 z=9~3KW&pz43Aao{hoSU28v#U#2^R|`XevfyIy|3D$eYt+z6NXbwJrPd;>6L>5%Kk0 z@u>|mn636&?!O)uO!he=|~uO+k?yrvR2X2b$u9GNx!$psa3c z|I!v)KRgoTFm-W9Y;m^qlr?$&MhOrQ1a+=eH*-`{Kd<-;u`vg1wLS#>f^NNy(k3N6 z^)L?FVYV&CO|Gtx%IU!$mrs^j1gsE!yXrBzcO9bdi3re54L>@t#V=j`cG_am7a zRJ-3@M~lVmxWc<$8t`%BavLiFKbNEoP2jx%r1Im6v26@O0~}mVs%*9Ets~sWM}^D) zS_83TOSa{3FlThyV>mvAlpat-RFx}RpI6vKBI)OXf?I-Ha!>WePJQ^xZ;?BX<)`A| zza?*&7JeC&GzUy4H}U2}AmaG@^EW+DMKC|lwwgR0@fnNZ6aNtUdDknp+tjIb+#xyX z=66Q3(&mG^Q5q2%8v6_E0V|WEYp1;#^hxiP`bI!T7N85>xh!_K{}mM+T>eJ5Tu(o{2aK-E__=Kf z7mMq!)UlDV`lg(RUrrVC$Ecu8zjiA~KYVa7U$A87UjrBboBcHGI9@B?mn&kOV)=0H zk)<4%s$iIeP(waRgeHRArrr_tr%hK!4F1fw zxt_iNksxQ^D5U4WDf5umPiexH>fLX6aj(&NT2EYjX}je3xYi*#;o0M%uB@l$Pljk< zi~jQs^*2f}c~J3$F>LRJRFg;aY7Zb(V|#GU#~#4-{n^bu&bS5rK4Ff&IzZlHhgQMq zljv}n8U>Y(U@Ah63tnS7#azq&1kQfvc-<~mydUZwV%Sr!{c8Dj;kD@S?zcHw4iix0 znYM_ou6o~RrZzBqehkN#G5G}?1|Hfr*}mK8KjnoKkgHZV{}HonaD^&8iaUpX6&(Np zNau6<*;pK1oR)QO#=&4?o7l>`d#Fv1)KY$_$8d1)>+7sW(Jy?6yR-VW=~@BH7t}~U!9BTRT2#aKJtPn1O+^EsJty$!kdLp76{Rb^M^;|c&Uc7 zzfPaFAgZvY4V_#TX0j`V`bOdOCE#*J{sK<^d`M6?A!}#!9=0N+24N~L?luiJMU1F; zidW6;inU3tjequFhS;&vhPJ&wi`;0@hrTlt_~+YCpT3h1t7|a4Gc#KE-Ff21W%}W8 zg*%`~TYulj#|v{kU<`M=bb{X*aXLHj&WhF8SudeE zZTRa`-n>S&iNp*@^$Js)+iwhjM>KYU@YwDF^+KmTZzhT7gtItLdQywCOPbo{^eX=o z_|^0#+u`wXR`!I*=7{wH|MA_f#F4&jQMc=!)4&A8Cbgg(M%34`Ze1@3!+KlbKtZP> z=M`PkGCRZRG*b7OOn}2~E>i373MPLDuS;I?_sbCatgMC;)j0W5m#s5nn#Fw_+IAH@ zQd<<$JVk2xcuG_On#<>LiM9CxtIXs5xjIxtb#7k^{k!;CRV?-P?PAvJM?>`i0_p}~ z1;7S$+vv#%N3Ba@l1yL3NSithg8H}wL(mKFkMYM@3xA7se3VHT1@pPC}GWo8am z`3gM7A7S??cE2$hRX*@*dOaTa3wY5CQBxcpw^-PxP8wI2x9;vfuaFbtqDO1x{}F8u zIuBKS%7QHoVvM)KSmY-Rz?A%nPl8V}7Cj&&rIC3|9|C{ie-QR|0dj`DSZNCy%|UMO z@i3rc-my=LlQdvFS})g1*rf;*GTrrd!MhH-TC-(l+-JRG5|xG;bKP+)%qKXdC)|PE z#90wKIAOpd=clOw`nBrd1GAOLgQ$yTpD8^kM5L*unhs56N*hG6>tCr&^JXr^vdt7Z|T(38rSZ?Sn(=3KIc`#5VKS=f#O%tN z|ExQkQTBng(eYdes}_*2D2M`fm6I{;csOd?jTi@$OGs5RPs8~(B_Iz`S~{Ui11tjg z6p$3=W?%poZsFr@NN3Bpmde?HpE=D{`(F_r&JKn?6j{Q+7gLM1k8i-LLVu@gfGj1( z8VoFofVix3wjJssn_mD->)lq2QcNiM24kIg2abms{(mdxrid-n$6DLDT&bdF7d(}$ zk_T+aN%@xdH#ZUB8s}Q&z7qBBq7Q%>7-`4%xk04Aa+q)+kS9)FU01QBwy-iiBR{II z<&|=W7&bZ)LA_(5ft_aq7NI-=X+a4Xz&V$q>@Ti~?8DMs1FRkSIpP(*DN2I5T@4Oq z*$MF(3%YK-ZOfI>o296q*Vcq7NgMZc;lPaOa_D)t%kV*K<3RKRg^YC-ssH9Zp-ZXH z&^Y*t-;*D8A8V$QTD0HV-0{XXV)*ERX}@Ie|C|@!lyM%tx885RZdmkl$grm_AnAeh zlzdnzvrN_o5L#Vfk8Ojv%wJco<%%Pz6)_WC07>7W(kDP|3s-p0ng~X722Yt{)D%Ri zdtJqC8dC_auSE}x(>Fd*dz#GKO`Q-zqIB8^SpkR~1idmm&$tRY)_|SOA zr}J8*sF{dd}*Sz!wEQo*oKN)h$9m}1Sj*>ANce=O^< z4u>0r6VVjR23u9pEO%@sU1qYEUCEvGbmg$W#asoTB!1^!_vab5NB^V2O~4i_VlO3J z2_Q5LVH^GMsTjIMw4feg*1Ar8#Bl~HutCS%Un)7Fi+tm0G{I~+7ATOyvxRoEu`4v2 zp##ignRKw|!x{C|VR?MtXR>O(N6%10yt58tMCV-!_Dj5emlT@B+^l)Y-yV3`~d6?~FNK>hPsK0CvkwSz)s+R)XC6`-m2Amqvl;>t_cpT1oyFIgC+Y1Wtrm zcHiQ)tO#fZsrtJe_VY@Kv8OS3A(2FLHjTZaL9n;|6YEy^-bIv{xkTiTQUx5QerEX< z@BI8z&3#?{=nT-ieXqtp_* zPI&sXfFejUSK`jcO(^MXUNa&gy);qkyE? z8Ukhm?uHW?DiKY|QRtG|DZbCK9-t9%2G*Pke}15%-LY`#2Z?3IjS=cz(3sA~At8}@ z2P3klR_A0Ji1^jg7U)oMmO7}|_QoRw2CJ?QmHKVX50r za1@r*O00sp=>(}I^+=iLc}>Rw?V)d?2Dcn9=pPl;Yw_ipno7^Yccf)*?{KpApZMLR8*8(8aA)v`Z z14e%>&FrYa_Kp>*h*p;*K*zZ=Cr6=IBg)o4s4KPlRONxIEQ~2hgyDhm(aj@3a)on> zI^aO&;6zm0_Ro`%XW+gY=OVFiI;i!FdC_LS0A+kj+^jPPusbC{VH`5}|1j$ZN+6#HbME0Qzt!o!SZDKSs3t90LCWX$e3kfF--zWRP%D%ODSoYt`xNUa) zx#Z^n{MqV&xIC(OJw9fy#JA&Obm%BT=(8%Tg4JFzYJPb#NHo=n5inlIz>K?GKXEaB)tG?=dY zBZ*$^6vyrnzM4Xuy)qG-V6rAmUI2%xy&19_tndvi(I09yw3;$Wh0e>#MEj?13YPlR zOh|zAGOpxiUOuo`&~OlayN3|u;O~a0n4~jO&#MplbzH=YY|hMyy$OrFzeIa?Zx}A( zJfK|6N&UakQ8}Rh0WBc>u-UYwZ@88z4onm6Tf^?{8pDqxTKMm!K({w-4;u6}X@CzJ zul2i)tUZw=K>+L9!%QLke;9jW&7um{oO7HLcgIB+h z*Yf*uhTfQrfzqwfcgBA2E?)pzpa@(P$k6XBaWa#^PL@NK`3NfH*Tv}E#(G^doxqNF zGs|0fSMgeOVowmXA`POeN6~D@d0na9zMlR4aVg0!*nT^=jiv|sP$|IF)OBzyfeBz) zMF3Y&sm~>IE(5+F>OuYC=M$7Z#bfEV{Z2?83EhjI?cD}I0FT1vLV9KQHF^QeQ>?y) zW1;F}I-_Gz1rdQh2{24}%7XU|rh_hlsWae+L)qYzh$)ld{el;4oo<`nEhmG4CPd!} zg=4xz-_X2^01&%6Wqs%@^}YL&0PW662`zA`2|NNP4)c#n4lwNOFhC49bfjK&dA(o@ zs>8Qj@Xxwz+P}G_qB3kJ7IqLR_*GFI}Z6zvy z4BV`xHMbhI1|N>%FeH{9=zsWTG5>3%4SEqUDk9ZP)&+-o@Qu#okc9ODxfZxp=<W6m`hKX?rDZldMhB8g?o%Xk`MVJ4&1A%?VW4C#y}{ zFDWs~INz0>5y9P*KR(u17r>`l%C_^Jkj*{6r>4jjM^un_-D&q;(8IVQINe$!5QYNX z(GXHt{IldT9RDEQ%w#Iyc`mM}B{kfjYk5)pi>O(dAuUhav=_?h?#DCFSKmL4LKCLv z{+3rGK77ED=t=)>RDTEk?!22b{=FZC>wx@f@~X+sy-N<*RvGFDM6v-1^y8wH0Pdh0Lv{GZ_41OKbsF5Iz;P{A^ZAq_IwxS zcQX0H4-TQ#qt4{_U(*pt$6M4r96t#0kZmRg_X-Ka2Jdx0n^v-6PAKbIAy-iZ2LC}h zrJOZJ$HP;=Q3CvO$^Zsx>IcUfPX-=u>WUWRf{rCWT0{fHWy*Jp+%KrnVU9$6>B(P3 zT|Rg^s;E~xhQ+4<{%7@{^Cp(-TOIEEG4|l%6nB;6B=@!D@Cj$#>czGnsPJ>o_TwL2 zja&l*)PU2M;WH~1;9sL8epq+M-~(UTnZP5OJ@U?1@61O&NpClfNRqjaV}O6Wtd4Pi z%_~-EckOOz9(Lo_(E3*o)Ay9;G%tJ>Hd7L-cnkA(3^N%?Ab^zeZ7DqIV^8)`U+eglFNo7>8fbvk3HDgJ z_D^M;JT(m+(o7(rAYzMh0j^oG!0z|X9Dh)+{k8#I9hD^U_Q^)L0FN>Qm?Hrb!slkb z_wS3U;z0FG_N%MXfoIHLZD=-AUDe$U0Uxj1rv64Buf>GI==?H%!0cXAE9FA}nAQ36 zy&Eap$?svUkz*RBmlyIgcTF9BMKMap0!1Xu_0R2>XnRyk>N!!_@wa_SZr5K-v`OWH z1lvfU85e=qC{<^Dj=Qd;Q6-9l@|aki`@)PI?0G!kf(kcB5o@1RdNiQ_jDC>BTc93@ z9#!SAXVVkkWq=q`4<&-Vm=ah`N_@$2J}{}rq7QsR%GFhfvOhyJ(Z6leV$&2}P@SB| z4|Hu+VckB);g&w!jB0NkS8H&@4$N2eUYs2Uno)f@m>q4luA|LI!qXcl$9igZ{;&k& z8mP5a8>$7&`O6jezW;uhM-ANRz$90GNwq-Wu3?F??Ipgw!sw7Fp~FEN)^m(e6s_6- zfRaf|r8J2=2=VkB0zz^klHgJ`Rvf@yYGtx=(&2L^e3}4|fgqBXnogIsU=3as=&(c%(sx=9BQ&qCM{B-6?($4BR{dm>yb1i`B>PJmJ74@Y!d*{e`Cl-tFE8hlfZW zFf@l!t}JOnRxdpp#NPBqmq<-GYl1 zekWL)@=lZZiuFn5xt1 zdKRhPENwA;Q?yu>x4@&Li$;m)Is$&AtjyrjP#}V+2FhLD7^`;wq}hPx3|0nabt0R0 z6}mDm@1srMA+6EjGd1y9X#mn&w}z0UJs_V|PDFyM28YyDa?rqs+Vb3iJpu5F(D}y6 zQ^k&j>jj!A))NWjoxgQPq6y_xU4Lf&1nC#kPn>EnFTet^|6qkWj=%#q+>70eSM=?= zRPJ$TomvdKaE07?>VU6UIfc$w+#pQ?NL%m$Otc{$4JILEQTJgYoEPN!Z=B+bz_2tT zKMnvI`p=tf+v<^~k~LPh9N^eAy^|T5)kmG$k2c<|?+mdWG&Wo%#`HghJa?^qQU6|5 zu$ww(Fi1KMPVbX|LSUqa=OS4x^q95IJo_OEv)=ZjC|hQoNj#l$kC*nW3IqJpBmmbJ zD6IEb!`j@b7P!`RV3WXsnB4xEZ9Wig-0}Xi_F1#oNwIocMgc|soWQRQkY*=ecnNge~v_eeTA(vVNc67RxlImQaZ+!^SZm(>HD0%-Wv8=d6nFNG679O+TJZ92Jiv<9&f)YYTVVU z{b8h2wr?}L<7o3`L%u=KZ>_(MA7?=?u<6IUNy-CtlJR8jam}M?p_irny2{Mok!gJl zg?JW#LMC~tn|Aw^ml)MF#WbF^jI^}0Y;}lbypnK;Ir6yROJ^zv1k)koTVVzqMp%Wi zMWCM;;r8b#lad`EzI&&xG*%_gg4@5Yz}>cpk&BT8lfs^+)IIH=KlV39^lcRfUh5IP zllo19tj6loBaMcfY9npfrbP8nn)gEDMHN*%WbPs~2-ylIC_%2yB}dN7L`1qE6YJZ_ zh-*nT(8EuUi)XF}l6L>4VqhPPN#ML}}V`b?vy9(j77VoK6?xJH@(JR|y zCq(czMkf-G5XKK_o=GbBOAD@#rJ`_`B@ziL5l@#UGIDt(EmE$9s;?aw>)<=z`n&NW#bR%XWdXq7-aDPgQe@ImSEqWCLUUg~EE^^z?(n+c3xw zB#$*u>&!0J0%tvNs))(_tBwGU0B$fu8S=ZaI-!1;uY8D&bAS%lQeizV8P2pFGL#-e zv|TWMAhKvc+eW`jB*U9cJ2tr&{S~8VzI6Y_c}A=Cw|l=$e+Z|4pJhjvI|KMut-KzI zj6I#loI)4I;A;2Ysy|ojge?)(z!lpF!C;E}ayYuePn$44{_DN2op2>YJ=-O{I=Q6* z1{q<2&C-=KiH-9nB!ug zNkm!ezCH9;YfKym$#%YnN9l&Oqlzx07MmgLZJ6tN#bkQq?sc&RImUx45R4urEAmU-QoN1J9kc1vl8hu zTwii~&3mWwbw$--bb+PGPx|s(&ul*m!^Cu2%IAx!?kEDupc+5HkdLGli<`Wqz9KAa z0$$GvtB9sWOT3Na!Q$Y}L{iXN75x|z4UNv^IDc=TIaLmJ%`J&Dt<;U#8}^U0ECf=z zql|}^78X?V1wUn^WuquE^y-5wwfXiFup_Oy7-B4y*qLqeg!A-poE;)J5~Z4@^T zmbiz(&VG12!P(VvV*+;lO|_m$c7rUbPxHgw$F_Cx3x1-zyZZ{Y#f$|tWO-s(b0MLH*VGvE&Rngr%!622-&VB>J1^BpD#BNnaGrl> zuA|mOS>=nz!sSY3mG^DTE5CjuxCN>?Az}Pzf1NVbKtVJ4H)E`?=NCOasdDP8E)*d>qUZ!J6g zmw1(xC9M)`Iwc8vZE2%5-TT*wY+wjL2m&EL&65idSWQ?L0 z3+b6L@TOx!3&n^1{TF;X53wS{!lHDdDae9Ti<8Tkqb!K(WxA>kZ{oD~(5Ku*D>5lXu-dxQ709U>)Yw>HC)Y-div;*aL9)ra&28eF@(+&~(ghL%97Ig>15xX8Gq znWuKfnj!^aMTjL|6xxa*#qAfHx`Q??s=$8^- zLuN>!Ua=aDuuIbsrJsv*?y4@!pK!b*kn!w_DMMn`QY}PsnzuALF?)U`%iJ!3tpHOu z?JIL~lvg{GTztuWBx`8?jrY@hq`*k-mtn82a(?;Kn@R)Ew$@M27fCIMVX5{sE($JIuW1o_G}A$WHsVhk-3g<7O1?c$t}_!&?V2TJI6=07&IDYc&zAokH561>L9#pDnljaz65rKscQ zF`m{($)SI8_|QTzJriGN)5x0Ns)c+2F9f6)*-t`qksz1wHi{^d%aF7Lx)Pug;@M%2 zD^(WNe0{hlQ=~lTxVs$@7UjL$q|nk<|DH91x8!7LSGj%nan=MsE}C2}1}a$YJgdRNYJrED;t)h%OKI zv?=f=!O7fWzpxs|udw9xkW2@e=j%CI0TC$#kyq0kWljEr&v7VirjB2_j2Wx-;}P-v z2#?)j)N~FwBK`zHgljXXn8#mg`?ldbnH)97@W`sg7kVJu^6#*}No%)c-Y*w?{ zoeX8JNnwWc!dzM}jO{8ZM~h`$jrEEg>>U~Ko^jUWgk!Ms!i@TvR}2cMnoZ5V2qo}m zyuL#3fMI9Y5s%fb51b@|td{pfj^E12W?IkC%Z(C%jv@Z`m*FN(Vs<=!3YJ5kB_87` zWu4;XhUWEs+{qkxBS=H}H$Di)Xm6vQ%Gy%k$}@8kVZV2sEk@ki;=*hI0X}-)Uy6Z& zQKoHqV$p40YSx)6CNHT4=F+ObgAQICr| z9wOWohO0!}LVzVHInR()$<|BAhG1SdC^OJ4;9cWsWPaB!npd+tny5?^YL>y$m>6l9 zUS_1*bI#cH?NNLsU1&9}`RZCK#x_Q=Y2YWJ1dO5oK7HJ7 zaQg43r?oQU5ekupRD8UVj+Lu2x+Zf3Py2|Ug+69`>kRImpc%g+X!7rQSrRCXadDd> zX*3PSq zHdmY19PdI4U`LYLSEkxzdN!+(P=G-PEKU z&)K{>5ecp}n9A&~eP%|g4fE61nq@*_^Hi1!OP%aqo~m+%8ZGWHNF!<5j|`{jMWr$K zE*c&r8}c~k$2f(74*fPBKJmW1MQ5->MCVutMZn_j2@z%w+mGw3y|9ip$;Sk*-@)uOS((2L#H&&Lh;$ZghL^DIQ@R#H=Cqt^A__!ovKRgq{7`@nhMX#|=FS_fJh zCbl3UDxNtKz)wuD=Q1Ga3NyhN9Tsm)biMb9fWfhqn z)qk;yR6Ghu%U=$AmpO8)<1#9k$SW}~kAL6#76(~=-_K4$`0;&mW+ap%@isc(vq7?i zqT`K`erA>jQapvbj%xKsMMG+w!Eg7l;ty(Rir!@{k@^O#*p>8!05e&NC9sGT~=-QYAS05 z+SI^$9L$hn6O-5PTDB)}GuTe2e{#mAkfsSLsXDrO>VeK8P$)FpQro=c6jx=!j`?5M zJWa{4feF?W{|H-4&CVMEiEj+@a6Ck5EEjYaX_a3}=vRySRjsuAB|%FjZ55exgEd{x z-p6muT#cQPh%O^;1J%X$^iw{E(Z(-KB|IRcKxJT0!seXsh@y+IuwZ9PD6%t4O`1oj zzkSM9Tu<_U8}evM(JNGgJjhOhKt`G{l?61UQ8H8#AF0;RpDRz!nIK=jjfJKvePssr zwA0gP-xjr5D3=X|!#?^-Nm*mg1v-o|r$8!;TE8x(lv%bL8$cdqMJIc_vBx{r5LpI~ z>nqNXROt*wT}`c^iQP=8LrvL0=A0i!PjLM7E-ht-w( zz&^5Umz5|4R2=W!xg>l%Da0eH9v^l^i>K^Ll2AzV3fDsb#88(dlkHcRrPNiVhR>^9 zS*|d2vPi`1XJ7KPUdFI3>Ok%XUsBmo#alT`!OnsWChpcL2<~9Uq|#WO-kEH6j7ltB z)ZyDOp0HVS*)>ujX|2ofp(ix$QGdJZWBnpzb?MpIuLU3oV9vW>`F;=vIVavdFMU8V zBJArjX!pD74&Mf*DtvBVB=HO(2W#I+K>?`b@g+K|V%>^?2 z=s>w?FE_LMkQ!ZG+SW4-RAse4VEk58lzd!`wGuvUO1V@#wtms)i(F7nv`k)4$XB8c`=^r7@iPTap|b-j!0N zLLLUb;ohI;t145loM1)iMtX{mb<_XglLWcNJWG9HQzHYzsadK`p{*>znC3}%p2Fv6 z-6dM$Ukj)xYp`+MZhQ}tSLb5R?Wu)yNEDtc>aMdTp;94w>Xh?@i^@MuaK9EJWn1R* zAnXN&LcQJcHQ{BRDtSoRHfKDf2^4MM^%0Nxb{2m^iq zsU$H)e_FfioRPBH@$}Mox{C)TVm;@o0Vf+jdXamrnhXY+6|Rq_m428hPtgbO!bSzj zF@BUG>TfyuIHFLYoe4=i3@blOYYblXxJ#bdT3ULCe%pY_7(0H9f@B zHz^U4S~rI)6|Z+->-mkzYVPEn^UucjpLA6~EB|zi7q@nFDVd_zFgv9m{4O$)u!Ju9I9RkWz9$tDZ4fPTva3*3FLi*h! z>n0i80R|TUT%YsL$T7#OjvVVRGthsG`GSoD&`Baryo^A_V&I zheN`!BcNFGNeBzp{FXDBP>?NT4V9cl@Zh;Rq9Ay&y802pU=60_=L#6t|CRs*Wu6G`_WJGAM(%Bg_xH;w{5^u4l`Pkphdp-F$ zip1HS^Ft1tH$FGlHNlKc=N--|Qu)t!yFY}`TAV3?O8EE69E(`t3uMpuPVyH7a4X}C znK0}w1;)u4p2JqG0i^NDLrr=R1>GG$q!LLn)AsR7h;>RMkWCW(g^lQOVb|YIOH?L@ z|A>74xovbPDx3mff_;y}@pj&wCMSD6VQke{s}f1csS}Z*LWIzR7MY1!yZ`ISl(%Yw zAP9vozc%!^D3QqY+f+Om;IC9777ugA+_Iqw8O3;{AqyMz?|N~UvH5Yj!sxI%10_W| z?pyqY9;xO#>K?zPqpHC?VPNPUI_J2(a2W64!)xKGuxWUjEJ03zrXF<=`(e5I%Xa0I zP4vTi4xcm>=I$|Spnl&+C&c#rDJY=ZVZ6go zJS9qySW^w;@a|R@wYF@VJtgS*W_)M|Rf&f%gOf0usH{3#Tuim>MW1XJ2bovONTsMv zj5H^Ii1*f3gUiiUP`hS%+C5QkUcW~WkL63jS0-o|tBtX4xJQ-@)ltatF_A&3*{6hn`6H%k%u-)_0-0gNP(TEHjcm;fIIiliT_=rh$efrp}ZL zpkKrfHLYMQP?`(>_2w@r2XY~V{LIQMg7}Hk&jcqai^y|VqUht@9~)%ANCuu$FC?)O zn3J39vkd8{xC=_yYq}1?)qaBi^6L*H zBLq`PojrTf6SH+X3!7nP(-XU0cFiO9G*0Yd*zNON`tV(ch506-du@97Z#=ZyG>8}Z zwzjy&r?lbx00V5oLFVS%1xpE25eAqV0o?t;GZ4v@XA7#+gvN{de@FdDzsSE02?A;U z>r0Xl7lFRsV=3@H`IYlnyZCUG@?AN{eCkR;B}a`AOp8-gXAOCyF5h?W6SK7vF{pMF zxhA;@#HY{&bVfdcgKkESF`Fors|A5&eNXIi!SxkqF+F5WM5$)8{qK1#kYcp$(s$0o zvod&Rih|6^6K@n|$>uA+78{+RIP* zKKMXg6yo=kS{+J%j>rq9|1Y$KB1`l7lUvM^QXt?iP~Xqhvc|PIe=yT<6O^!=DlGm%9AY+$F>Y9s zO72eP$HLDdC(~l<25K8a1ll-1)@{QV5@MtnJaPE@SE$mm=us5rpG@mVK0bAn)4GoLT=<&;)W97}&;N}0Tue;qbi zQxgLTmmp~pY92LeZuSXiM&&E|20eY-c;)?dBuT{|s(0vox!dge+;R^Orftcqpt9zhJ zt$3@dXo)h1Xmb3{@=x2!aP6fkbu1DP(^lCjbxWfr$Gmcs@UjzW$g$9ciNA|n<-77*T1ea+T{ z_sP(dg_8m=UPz2~UCDm@{FwvPKwxIoUw0S4JHYry9XBmeN^_Vw$_%PY@r8gVU!eO( z(S(kWt@p0)gIa1a+2jA}ww`)iq6+LPWp+Dtd=SdJ@TG|AAyryzd$xviv803_F@sZm zJ0C?c7|nOxx3I9l#ig2Ohysb8Hb3--0!4EdtI5(l!PIN-TW{LevB8V)Be42(!nXq; zQBcW-w%RE39=*^YvR-Nbs0R{J5>ovbxLskV3t>XW2r(>+h{C`kqr#7pZi0|ps#Q!v z?BcP@22g){aEki0;61N=2U{v0l#?cqz3>l#8Vc73S*Pv5Q}MS9bYmUID4#Cl*J?ehE4E2Z-=R*dmL zI{qro;5=G2PRx1l((aL)XyM2gI}lYs>=n~BM3@p@r;fqk z{Lu=*n#V&gJgE@19!Xvv+GHjKqnU~XGKU5}@u2SvEgKk|!cDdt%jVW(#Z1Kj5IVLp zn`qO3J1Gbil!(0MEie}DV}TOIMB9<;CF_4&P+7kRPM{?PMuOp(;RLi%sJZRuJ5c__ zK-VzUJ^bB@evr76-7O6A7C7q6-P5K6lT@U_3F@hz63f+L2d&d50oL)7B2#c&aji3@Du#V$A0XZ~>-#)`FP8 zwo89V1Q1a=)5A0Y5s=M6C_vk_kA2V@$P>YujAD?%p0+`##)(c2c{soaf>ed$hh!tz z)W(EON+6gtP43C`gCHrDcjY!+21l^1*D2Pc2b*?Ov46|3lhWheg?KeS;_% zgbFH1Dbmsn5+aCzAf*D*Ez%`9fTDnsf*>U*DN<5Hw=#4{Gn909=eKU3bKY~_f4+ZS zuWNiRADDaYz4zK{{bJp-)8Dja_7bM#DKSoQ-F)m83GzpIrRfzz>zn`*g*%9y7^|LIj zY*l@iZjAQ3sX|4Hfl}zFJ@~8oMy!3qHN3=*G;QKeEUg2~H}y7Fkl9*OWJ-!`-3{=yP_sk>&!&#lnet3g^VzAum8D2i)%*RYRI#s6l zYvX=4_+1ktC%mj{H*q8aSIgH(b+fm+Yj=gusHFd~M*K+L0%vzn-03*$`H1W({89tU zdMZdB@Z4WC&e$RwJxTy$z4NB>%N@8=BB~GNKgQ?|WQO;@-qj4_!sd-y< z>Ew~p^E4HW3rF`z*J5+O3Vjcx9dSlscgKAV6OuiZ2-PI$eU?`*Aq z-&5y_GnZ5z3m<%v8-z%Ts?gIg+Pol#2w%nyKkZub1lP+;S(ThSna&z2&?VkTEgM?{ z-4}N9hAIE;W*zBdV%8o)RxJKeK3b7ga!M#WFnsOy+%rh?u#z#9Y?p23?D~u7H#L&I z%evo6+B}%|k5^6UEiw5CWLMe$hXNj{4|IMo^3gXivYj`-)_%L^@zZ+r?cpGI`I|)1 zr}4SLY14>ooQx!kr_C)*`Wct3)_U1_u?c%8+;NuGMF<^WLBChtD&|MdQ?wa$MxLmkqR>b z<cfcb1DQm&k`451Y$1As-zXc5VF3rRZcuj-^n} zk82NOgNs4+7WRj|P1YP?&kwB;2C?NoGJPCt4Ry>u)CWqj{?U(S^t|{-6*GmRu@E%xDA_~7Li}MA1^tP53 z)ejBP1@&%Jn9Mom4=<^o^D(>Nvaq&lKxYFi)^pjX^PM4`ob*V=`Ow;_vkA%~2@YJt zfDkx9_NbR0R>g3DQq1w1*qNdG((^ZB9p#Ggf7vULS5Q1(IT(Fo5vo{1 z;-xXHo18JW6OdCVkXFB0n(19;$zS*FG?p@Nd4HPXCRqQa#0F$xI(mln8+hlZaM~}} zT81+V_*-P&U*5YJ{qdn%@6A!t4mCnsY9H+;##sBaul@Ua9lOdiKZ~IgG%75AIb{;f z|8U+pT_C_@-o)r{s8N|3%k?_aw~1hcr*(b+Jx9t*uYIAJPqy?azx!ye6(Qc`?E6&e z)9P#lz~gu6D4+EEn&mO#fK!EzUWWiGJgmnKPDsO62C+y-a(>&;gt(&2v++mOF#ir7!pS3Trs0O99{HcZn6N{f<~MJywDRya`+tGSXk% zAYLk-yHV(BHoqTP%T1W{Ot7*jxXkMMLi^e8#4*UuIO}clHvrw4gDtM^~JZjlPib^4D0t# z2JpcghM>14JY=rlxUI;?vrwgP)%+8ZC-#j{c6?7$s&?G1sx#&7Ohn z!0c{NH3Mbwg=>^R+7hjU$X5hqO{q%k?Qm&FbRBn)O>hi}U zc}5iZFJm=IUG(Mqmq18T9JpX->GRRzgMHQuwcp^6)AuDf<+F!#o!>Y4xMQ`y+SJ6+ zq$|xaF?QyX*i@+FZ-c=%e821)pupy*_4Dg7b`|;L->KI0&mF1J{HHiD=)|52Iw!Bo zFz{Y>#6W-eyZKm9hQuXZXd z8G?;;b)I}#e9I?D&wOw*(!|>!v{?ui7My|9(un;)sf04Ju#N7&{8{E*H(x~O(y5%Dz5G8uEv87Siuz-Xe zhHgM+L}6N(D0xwm>KA$HE32nryoz;?g|#XAKo4Ozq!^3B_caeyAU|y&eesuuih{t> zSU)2)_zh6&=d{yv9$YFZ2$(oS)^syS^V8$r#K-4ZKHf8|M&l%1_Eo62lAikt><#o+r-D)01(?@OD?QsMWfzO-W>4)W8cZ*CheTJgWw*RCw?MU;ExQB)@ ztH0NYdtZKBeGSV1U5hWHMr4f`(|?1K<}}{V7z`RcFcFn)Ddts-gK6?6N9_D;Ln$LKGjz>k~g7%B1Ru;AJq|RtoYy( zhR2RAe~|AAYh!R$YolEcU(Xktlh7JW&qrAx_*@|7%m}QsP0*%sttsqSt3962!zQ33 zT>PnEsX!d1G7`%$3d|FPbeaV11aJ4hHiCw4&1B@})s_Ab3~}2(I5$y)cy@N1i|cty z37>JeqtmC^7Wa?k`X~}+;MxQjbib$DEfY?CMY9h=JpMuCw*OW;K}V8w1$ZK|U@bTb+Q^%m52)ac~VlY3MhG$86(=-x!dSHAQ@$ zDX@42wm<~+@++QN!QPL2fb!>`Y4}P?)ti83oc^=A^^tr2qz)$A6f@)Qp?dDZfB2#5 zRxe_4O8aW$QvFEXXuYk_EGeB!b`iss<&CAAk<1p{(uD_eUVtXLwI4?9D=`tp_9o z=0Fe|3XH;SsTr-4yH_+!%9OWXP%=&UoLW}p#XDQw1PBbNXR4S=lEMwPpzV8+BK!qTxxLOh7?LoQO;q(XUS*Df2TEUC6;G0St@~b~@!cE;E#0*E=hlCT4R(vo-ng6~xV%nt+ZN&5~=#w52pzedZFIfhPVy!9y~c z9-LzH$1i?9PE_q%0^Isi8MDKs;5WlNL71$N! z2%2MPnIDdDA;rmfC`iES%HK@1FVAF|Cl?EMk)Lm{_d4G2u7GCAv!~M1Xx)?B0jwro zNg!T>h*!OlWan(sDPE>9QR!9C$M>k7V9BZBi$b*%>#J=c-!~R2n{;_{ennMT(ab!n zKK{@Sl1G{yw4mWQ*=)>I!pF!S!*lNPg0rV$v+>LT`>tn0bB=SEqDV3+@th2Sgg;bE z063i_a~!+UDhdvvwP-?-b((X1-+N^^Bk^F&(cQi_6GFkcRz5w{_pj%3C=N(h-PqMv zl(T4z$>D#fi!7A1?;}D&vZ#~UIl3=xeBl>P z#0~h~L3er5d`2_i674b=D6$6IA5;Iteza5@Tp*WXyFv9HQ`iD+Va;!ZQn^jS74JYl zLAKQ;-%wixOH8%DfsQ%_mM8jmSdEk7`>BgC05{xhEAB!DMKVN&1H+VVN<-nfd>H30 z8>%88QT<#gfuuC!ls-9h!aiK&s(7UtKFW5f3tQctdr%eha0-w>G|1nTV|X2dAHTDZ z>$>-P1P`d$`J{Wx2;?6^|ql*|c^8u)C^zO@C@6H9uK|{pl>|svc6dOD>=c7*^=~S!x zrKfZ+jz=*YLSt9G~TunY0kXuSrd=Q&f9G@~-m}Na9ZI^P* zP^!t)FPappNz$X^;9C*kwb2{FD0CUv>)4on~e5YcU^9 z6xA|k2xlyPc0kCvYK?MoEH$Y<)!d8p@b%$i}#IrIoL~1 zTa?K=PKz}u;sW5iBm-J4bf)!AlR;;+d{pvf0WjbwKk7lY1+6@PF-Y`Wv!SZmd5pkn zUDV_3^_9G9ospcpCBhYwU$9((o2W1PnJkZ8Lks;coGA|1N%0%*ySv zw}~FJtLcUQEfKfmQk25)b1Yr{h&k!)?@tNqhMMAdw+wmwxGhYSvR#-A#Iv_BoUU3>(HslUmYgZ{;m@1Y2i$yk<6Wz0kMQ~TLQpwEb39{aLM0viAWw^mS_P%b;E~Xl%&WPmmkvkCgi%?k@4?8Fcj2Po4TZ$MDy0i!YN+YqC9;C$n0t z#BkFS(p%?B#dT{7WkmqiN!1qq=&jN^ypdRup-@}+{nL39HRAN2^%hAs3Ii9Qg(p?{ zeDv=)D0|gAw*VA8btao*bs>|FV5IUnQ%Y0^I`5Z4mirffQl7?s4f{M2`cfeJ^GGZ| z06yh)RtFZ>ORXh88Dq2ms#c(S%M{Yg1*hFIENYuDww%w3>`M*T zxw(ALQZCg6Lp%kHzP(xu3pQ2g%xS`|p8|@{D7zN9k}frK;f61z@pIWc-MDI!U-hK% zLgO{OR7Hh+biP7mT391k!;%9IwpJvBQGyxo6uzT3exWQ%ov(P*GLsje5A_|*KO$Kg z27V1JIn1bI{-5MKp6?m>Ow}?QuUTAYn$Q|`d8{N17Hs0=TPHbORiR=*3Ts!~!*A(t{`stii?O^Z=dj*4Ms~@u-#`a{7LzxrDzF#CS9iK0#S;EiCv^J~ z#azA8pDa7DK+-wSh4+TQy@aN7`n3nFlP!x zfD)DQKOe+pM+!TSc;v`oyPL||@UT14x}mt`bEk9@wGhV#d!p%9%fy@cQ&$M2VO+ik zSN#+HV{IyM&Wt1bE6q3< zbc3mO3@>r?a3uDCOrSAbjQ0hc&C@>~>htiRj*$&bmUy)Pm%-a{nG`v5yDz zPE3~1t(v$}7=kQ95{6pq1DiplUMS^}wv#qfism}iocWl7izvJ|k}T+aaeyrC`C^+? z5Ak+*sQA~d5YgW&GdWeqBFGE*&Uc}ug0AAR*B5+I*1iUza%o@k)20tJt{STnA1sN! zQ>Zn#XY`)hjPEIB3NZmca%WlmVST_|Kdil=&uM2=e)xTG_Z+)aZ7y^sK4VIb;%8_b zey86u;{D-10wW}YPcE{Rn=Q4)FUnBvlf(0baXsV z12?yX7w&yh#}=>A)$7l{Aygq(TRmm^sL4Q7Hn`5Ii5@gb|c_QB3f^mFF$i=yF|lsltd5;zzdclZ|RIVIuE z4ygf$cCo$L2NF$*_XGM3{HSq?7xS7m3Sad6Xt%>?lD?q9V%ZA0m$<&(Yy^Z6VGGl$ zVwRlK?vUEkE1l762LX^&Wd4%+Jk9n5q!tj!tF_;aTp0Tms$9PB_2AVx4JD~E2=Z* zi7*(_aC>$8j z8ohQvn{`66Q5L79)}C{1A^0Uh8J-rX6UM)}f&RTAJm~_@sd1eA`vz^i4z!%yYhIu6 z2_AMHMd51X8lGv6WT*V?N;Fw<0X^|WOrTON^oK#(fZ}4V(QSC@^BEOPRrhtG1qZqh zW48#}>xLV2KUvhCyD;-XmfqLu5iGZqc|m47hJEPOq>O!gm;hCgt)E?yI6we!D}d#J zZ2~$s11Gfbkr$afKR8jm2hHR1x70G`I$PXMT}X)edrmFrVsrBS*xsGQ46n@e=ij ziP{t#1=pLPMn>by^TiO2@_S zbQ|5vmF(Bkwg;X2D9X)hUW#tF$b<4HD{{4qDMgM^+p?Kz=RzthqGyshO58SNZn3OO zI$o>y9j%WMEc|th&NOtz2cn)OJdmj4dhE8%&gw-PpgqXId~jN_AS;cY?$*ajF^lej z0nOnyV;-Mi#k8)TB@b~4V~6i=CxjOH+)vdwvY&;hlPI5()LUGfRnxa6wStDiVUH82eQkCionaC~Eopr?sgLf0frB*Ro$A5SfeWs^t z@^N2uc7zVjV?w{C^gTE3THwu_+oBkSk0zw8Ff-xnJaEGP-e)uVJi?@Up+c#i^URP% z_YO~yYWkanQc7wqj!zj_pCIf<=J#{+td?s>?9ItvZ{Al||G?GFV0Y_-Zqf(Eoc0ER ztGWrkz8~{w&|$r1AHJsTWCk*Bxm3MCjkrBaFvXQEc=3LKG#BFtA5%kJZIFk}ho-nd8ou4HDY?GmZ8KdKgXBpE? zqIMq2Ev>K|$dklW!Z8LtOVls>4H~BD;pZdfC=iJ$T>rBk+d~fRFY-S@;G zi=&qI$fQ1yLP}f^DOB?Cz^H#iL(&#F2=%-$WqeNakKs*9I9EA!72vQF?+F_BMQ&Z! zsVg|d5{IjQV&dWVi<6PxH=gX=XG6;HC5&Bp78Ccg!#^ZmV-5)iR5%Z)oye}~d2pxh zO$!IKwLKDt?;>4WZ|0m3A}$*ByaStWXnY2q+hHCo{e;O=aFV9^vw1zp(hVhp?mXU) zN>yn+4r5Q-(lnl(6T6+%*juSrDBkDSYetc=DgNQvEK1c2Lj7qqiubeU{@jq)$q~+C z#mCX zf7fpO9aCPr_<`k?gD4!BtnEDPB)UJFl&P8TYbnr-9oZHL7MW)bmN<6N?#rsP;dx24 zWl?Z)e31WgX)vaK1lB|$hR-}B-bS<-mZM}YHCAXMkXPvBaHD8{ZIj}Am0P9EK4GJB z$39z9(6+j9LDz9CVVYajsIjF+*-Li8AzM5IGvt)7pNE@*j|{%E+;G#6s`eaH++C5+ zBfVW8t!9G+N5*C(PK0-cooSmtaT4gm>LbvI%Ik2gC05XevR&CX{Gaf=N!c{B5$Dva zDZ1Wp3va}l96#;z%j?&)ZELPdV4$Ej|GK89K<e(JH;te09==3b4p!cGVB zwjn2NEONCgps$z|hupQJau{))c|sCMEHs8AzTX+bV>d1x@4hUYT{_SDG*hDnZv5fH zhZho#H`4?Ugssb#1S&T^ui$hH4mMGk#noU(k6#WB4i>}g7th4IyBzP$2*WBAuhmn^ z(O-5tqJB{J$0Z0ZSTesYSh+^@aul^Ai4hbOwApqDWP(}M({Ya4LKdqE7E7+e92MCq zb8wqy(ELQvSFK{yhDQLI&N$~0*WJpH386UK+H-8$#i6OGj8C(*8(RfOTf}yT>fT?u zy*tSy(Fjm4O2la%9gikVVv2W3+^5N93m|XFt}d|Nhl8Xj~{br+EDRyhEl= z8JebxrYO5&dvJHj#>;(cMHsHROCYfe0TM4RwWYq&#~i#x5w;JR{BOka{f*eK{nsKo zIo~JFi|lO|Rf&1de)Yqravm`G^kh^p;b3US*EKRPiyF1r+0%E@c4uX1Y`f5+ul``A z%Iohvw~Orr-VqT&*RYusr<>28b^QMW&wLuM&cyo#MMZeF%Ox{BuIrOT^~mg(FIm}S zv@yL;Y;_CHwf?4e%Z1k{v#>DY94VvaFH1~L%EM3gkmPJT?_Yb;F3{%#uMVBSxyrb!&V zyZ4pL(&3}k0`18z0ptia96wr5AwL?oS$rc#g{bPev;^Y2UzNv3+*hdESegV9y${ZA z3|izok;o*V_22?DjTejs$eMA-$9c#OV=9Ij{}q61OXasyb#jCk3_)QOB6iiA-=cT5 z-zdbY*CEiPZtXg5&rCl=1==!kVu;gg?;(p#J&2P&Tlb<9$pkwRioMxRk0M zRO^DysdJty~J9n59^lLPuVIcqPfouJ&3A0TC(X`I&Y`fp6gJTd9rjpaaD*~Etb88qMh_f%h$1;mD3W@cLTDp`Zf>sWS zvzyJtHz=;MKl=$O6}@ixOme*mr9wdopXb~rG(i|FJRLRP zI2VMVBOQ)Uer_*#?kz$V(DvM$8giZa>@kK%+do@;<@VFZMOs=~env0yf{?iCaxb}D z9VhI7PkqN>x@CU*A!o(ouC|(toXYnr2mE55qnL#|IcrGdeAA8}F4MPx&2%`gUNydr zwV46V{zaLY%ltR}Hl&0{;(Nw0H$|-{4E3+1>1x(6wC&Mm@r|2vT?^aA`-DC1$`vwS z+C#e&pkP}SRM91U*d8?&BATlF7D#mADqH`g+=4EN#G$Q|)(X>HMpjmkMRp0kx1&gF z4FPR=kQsfQB<{{7)1L27dX~()Qi(*+HZu#AJCrSyHs#!7M+7_uwWqcFer=S;(0YlI z&-a}jDHo+2ThKcZ86F-!vi3UK>MNOw)Y=_h@x(wRwn2e#RZzQ@xw%!CgR+u6X8ix( zA}5me3ey@P(L_TH5QzU^X#uovs`-;cpN_K~Ts_~k^*UkQSnUPQvM057%p!{&`>(}bXGCG%Hz?1}&HZWNZO;^_83F=`jIub$i~&0c z?76b0y*E>{4r+G;A_6(}=@ivu8W+!fTs~{0`P2!7b4kp$Rg=oXz+S8CVP(5YbN`wl z1g1AsMzbN8iJ-&78Hv%cvBJLPvXv3ehnYo;QH1O$Ul{_FZ}JGRiRVd2S3U^N-FYfK z&z{h}k*$0_6lTZl%Ool5> zLw0Ef97l+UA`Rq1an7+v$om8@VfO}|hD#;H%cFZ#7XDdD+=7CFA5d5kphPIL9Ay-o zZaOBqT8(!^9A)x+mX}ZDzn06tTy8X%PE{#GJ!kr(+M_?PZwT~3ztMJROFMF!;VA%*tq$uowSgO(9Ui`-|)L1W=&Cc=it&KK5U%X5Z!3uMFt(tu(7{< zvRf(flQ-N7#Gy;3P_#1zW?UC@G5FL64YxvYxPUd8wnV9PO;GyQ0Aa$dh6*Y?>v!1s zfHuo|1-J>n*s%*&cTQ)1yLdBHQ1i<5h@91pgcFaBT!@Ek8nQ(Y_Jo4fx*QrJyUd(19EFF>$UM;hl^$sc&r3H7+SBxt4ADp zd;h-k#DCrS-@Tbv0$F)){92WU&M43gAr4@Y^H+@N0AbR%wzlFR$ww5DHf10@(f}G4 z76}oY#j2CzMKspBPDF{qa~mD+Z8>|i;w2Gqm3{p9U}Xj{jTpesakxn#;Pul`OvjpT z=NJQa!1375PcWHoi9T9BS*;`4SPSu@@VUddkDeSmSHj_XmR#1qljV>gDIId6 zgh3f2Tj~A(+Dg;ANJSjh%{L{Y-D`O8qIC5BHJzWi7@9keyTUF_!&1zQ2XIa!1zwri zb|Og79$pYgQ2(cXKjeIJv~70}@&IdWt3AL0hi3L7+l8#6^}~(!@b(#VYirZv!@W4i z-*Rjq2xP=hkS6S&2HZ2YzmPKn$<(wphF>VSj`+@E^@j&EjmRm9Jq(mTA%6j|7#FPC zBSO{(StrOdR6063z>FY9>Jak#Kw@9TnE3GCrWPJH0W}ZU(_K z28m%ZF@VExswtvQfaGtt00=#QccOowlH^5wtkKHt=b6X4Nu8gaM;a9chxszwU4LCs zx80liM0#4XDuGio?+wGl$W^$qFYVzN0TRP?BAk~fVhg4%we}AX#iily$3Gl&PFt|Z z8*qfQ(zsJWmcrZ5Glk;iPa#&mu_1g2F8^a=cxXKk9j4H=mwny^!9c zNbZYVOxv;ZKGuyDCN+=-wW-nu(hjlc>fM*aPU_R`3GEP=ZGe__#g;vG|M(Sc@!dB* ztt{{B-`zTTye%lc_D)He|28q^@Il_L;z_@_2rGj~QCIm#Amkpao4 zTt+g31PC3zR-SY`FGay9@>q6AFd8m(S}d7~$GVA7?m{YW23KKt#f+Mo+Q@X+3pVF2 zFs{E`p=(?+$M3@Vxk=j*TEjy@44xJ`Y>5BfeNE_3uR_jR5Plr9^NXN%Q zHfy@{fJ)NH=oVZKJSYwvr0BO$Iqtl$u~BENJNv_NP8G>Pwy+&>^fj*$!y z=ug0xnIUR;B`^MfWMDZl(1U>!FI|DsqPO@!UX42H^Ey)B5_);CR5TMRMSSz~qpqHw z`|j=s0`Z^y1NjgGb9j@+`?_yUj_20xRK-{{kf(`X2sh>^olSi4^Z>~*h@uH8po(PA z0o0O>PgRF!yz59L;t*pd$w*1!$PwbDs&i;a;j6MTOicYph|9`S6rh`RLZPH%&<&fP2xK}Qa6L)d(CP^SJ`8&J- zWf1LCJ)lML!E4jB^`W$J!R+#Kwl&Gibrr-}n-gn0(+{H8{u$_Pz)u9-v|Eu1gHxPc z7Gy>@p$JaW?nKB8&=6x#*JDv9FtB(4VD3KCrB+r}qKB(>$V=OOsqhe%(-6}8@K|NV zK7Ldpvmqqu&CN|N*L7o_=oZs<_-wwpVG^9B3y=!>JB#SQ_X=K0e|u?XnD^=j6_)pO zpqIBGtLZpu2n4fuzz8^@Z?1VWU)05&Kef<48_Pd5cC1 zELR>_gKF_+za9eUn1(%=mY+}htvh@aV&L!A z1yM*$+UpF!MB0OX%q~cj_|@&6+q_rVG`Pl!bG(ighHUGIaH!m7zapXrUa?1ZBO^eXPEt*cv~0QbwjWp`-WJ=bz1RSbQs{;j zd+C#qqg@h);1R?v0QeXeA5Rk#8w)y}j?m(dIw9Dgxl6AcZ1+7wj^VS$V88u=1n~!O zU6KYHkJTXG$Tqsj4y0deN8JuDu{c2+8s#~QwICZ0A4==uSBUZcB;zSJ=(F1+?l#9$ zddDU{;b{=`^oVMNa0M{8uNaUc3NEN8f`Ghs)FaJ55< z1O!@}u~LqFv-WBD*A$S_ksI!Iz-v6FZtD%quDG;tV^%+}c$jrm`G8HqfeK*~oQ5JW z4*4r1yAuf&$Qq;GMs-}1N?!YFTg50?l74jSWMeqeZXpCZm4&tcNN;aF!o&5B*RLT$ z*ze(CMJXvf+h{k9m4x2-`~zga4*%5=n3TGKnpGR{PbEXh4BE% z+w4U{wGj5gAFJvGHo%HmpW^h21{G`bpk(F1(aC8ILVh(s@9=f_BawFqKc^&;Z$NML z>K{z+LeiCm8d;(p3__Br56@YM)=9X=bhnyPN?BQ~7aR|pgFlQTA|is*V45!qJ1x$x zo}wpV>wH}(WMO|$FQYh7a}Pb%!xM(a_uk8**tLs)T(|XFtsxME|A40Z9gDCgJ1P?L zu_Gj#&c7VRYe#GWM4wN{;2hnVTV95Cfho{4sS!qxU{wQ{C9Oku+`s<@0G}zqw{qtb z@-Co+_B~J3?I8Yg!LheqUqiOu3$@384}k`S*m~^{k)k~%=V20lxNW^SUK%~l+RqOT zCa&D?$;oqB8z)+>GW>NOf%#ww)*v+$P(%}?6M?;QiM>XpVsN+5z5cSFubTc7$x6rz zcD92j9CDQhCWqD93L`Yc^#ROoxCYRf=yGe*6we6|jy*^`jYwRmJfQvsfK>7K+@=ie z0+i@0CtG?a_j5HCcQ%|BdULIZMQFSZ?Lbj~aeOp-^4Ta@*fiV$+wFD;YVR5%ynyh$ zU8c8k+zh2n69_Ei+H30CcE7&7^8B!N@58MRDp1}JwE6o-z(#W)*`P6Pi+i_nz@}6B z5$P1!t!xitc(~i0CjM*1>%^T3lRk0+41XdszwJAX4t`r` zAv2#jLY`9e1mLx%nCwZ;$v!8}bxO)T010Z;ycWG|m76J?xVB*OJk9rX_d;hOr0%fl zWas4jRuSd(>n`o?BXz)+Sjf&J2n5j*;K^@97=dkGe??teg=l&ESQl#7Asq5ef&+f$ zWD@NWGh(g|3sgmQFM^UeiHPGkW}lsUWh{tSV6Viv&8H)MI-;Pp90Ehk30}&Y)8P1o zI5M+~i<5{Z^pjM{7{oD<^Xy>%ZoozTp;rp*5gkODf$<27RwerrzW7u7)&tNV0jn4V ze(CjTSgSGEJ?Y0~Nl89nyynJG_o~}e59hIsfM~iL^b4Qa%16ReWUA?8)iN^z z9d5hx898~+I}?dKEA?wm!K%EHSKL+d7$-$s#=9vj2Vgf~K!|%cAyf_lj1hxBkhu+u6mhK~pc-U!mYNwS~OF3wa)q zIsfH<0dARoeSzZ(sNJv+QAx-qS#+fV5-h{tFAf6DRSxY2DAN#f<-6kn$gtrobST1Y z0DChs%I^a-Gk)xTxQ20si{tjgEbaB=cox>YuCg59LHzY6B;QwxCy2#YUyX(B`T1((;c z2O<}Fi~=XvBle@RKl@HPail8D-!c`PCmz(kBa-ak>^3QN^=m{#L`U_T*@Y;?)}cK8 zt*orf6)bCSdG9j8x&;WbY<#RU)LA6kJ@siq>7cfH5LEyNncB=}h3`Qa$Fa#SdVBBd z^=@&HYzf$IAp-vsAEet$+rE*Zd_iYrUT}I8GVd;uLOj<3^g4!zTVX+(t%`=xor481 zUwS{RVv!$FfyD<&0#J2p*~nJ*{M2+|OP2b|6+EQr4Z*)i4;kR;g`LCE-Fm_AHQRuc z*O3kGTs}d4L}LcTDh@)qrx`18Fwkzl(JE-Ox#I#{3{WAm*Js35T$QS@@t*tUk3cH{ zrAiaJssgTYW-s$D0q0zV7XoK{ybpj0e&g4ZHYQvUOE2ZexL2+?^lF;H$bd4>AbiCM zwXy}Y8Cl`qBO`w?YfoobI^6zu zY=i3-tM`p#-GQ8b$NmMRW_@O@F~7jOB6!SG=a%n^i=awfuOp`~mvMHNovW~%{lr{m zZB*GM(=ptAt80jS>Xc>%40;ARsM_1B3e?a2R%=K+LxFr- zZF+(DZ|`JjGe$W3$#uQWxiVkxM@0_o%Wwos-eu6*MvS_hoLh8SvtN9OPq9uV;D7Id zSWOT|xjB6v>MtH4EkQLm4%s)e_bi=2%BSM$Ctii>_Fb<%w9?{b7PMsoR>WmpIED_h zO35G8tgWfgO>qx#?Z4Q+K7x!zxtR;}Q5#vgn3$L-E`w8lrAYqo%TC}=Bfc!RQ9WVa z02=|dX zgAxe+NG0CtXLwKNx#~kpD1xc!ov7sYgOzlue)AO;y`t3fS>!KJ+IA!pl#E4@lti|G zRbI;CA36{L4zmYTp&EX@C+Cm)D5Dt&0@E_F-ybE2Bhlcrz$E(m5TvIZYp*{S^vDYY z4nT9z6>C@ls|X^Ne0{HR^|_7BXyU<^*xc`;+!5#?8^W zaG~|s4Ur9y?uIX6e~zEx_1Nr)h5)mRMO?~Qq8FzUxUrEHa^NKLm-7ntDLR|#Pj5+j3oK%*H>`8vi%iMKZ+=+ zV;hZkJN(28IxzebVa8OPcJOWmW7jeHpu+GW|ajvqVgF&Rt6RU}~ z)a1{vf`-r}oyh}{asON2gO+JrCohS^5yymcR3C1N{@tUm&s>mAQ6&rbMRaNzL4%sWTa?e$3-IwFZhR+D28h5R8`M&k zow)n9CGbD@FY8D40DOD+LIApMA6U<}MvhXUlui>~OC!hI{FBjW^R* z&^8Z<$rlYaYug^0YJ?_q+VkSDv%}si z5{QK!t^ukP)%5H1f`mSZY!bdB3eYI6tlqVybB#o3%v%y~M_E``7#xP(u7u;$ zkGDw>_C_T1^2e4-0&4qD=|VOhYsv~zPW;3-Zz6V=XOK>8Ow5b#W}G~_&~gRK06PjX zKEInLZwcJaXA1xj6of}28j3WlAbLN!Z|6!Sa8E`;sV~2GP1FjLVO;KEjg#I%Y7b(; zFIF#d9yCvjSmzDhs5)>tF0|3{l#80XESrv1jP0ifg&so27-hol{46PxU$y|D(I@MYKxBjA6`H*NsJ32mMd za7_rJcD8QhUWBCfSnSapyT!)S*k>W58}U0oRw@sk`kcUx-$7o%6F-oSGU%YP?~o+m zhQ6AZX?h;rZ^?lT%sW{&r~o9#9p!a``-BLnkkz?iw}>J%?qKvp9CW!JZn*oNrDs+@Tp z%Zp_?3wEyT3*)K1MqPX*(e!(5H7A?bP% zlj49t`|O3k92kgN5RwZ(*9bs*rbbO>5jTlRV(*;bup=oT7HZfc8~79}g|<{_@oJ-{ z<3icief!R{71wcC?@;pyP`Qk~>QUuEGy#y!f69!Ke$shK0d^lPE>d2b!3_77SDZom z{-CkJy6Wg9vgv|MmA88h3fL^FeNl9IOXY>Z2cWIO!^H^3sE#eHfZc+4Pc9Iw`w=#C zM8z}qB}DV7h?WjS>X`QS)6Cf&2P`^T*n!burp*MY*E%b1*Wf--RWVty87pp1po&;4 zt6HlGL{15453WumKJR62@`nD*9uYa^aCh!v&XZc;(2@=g4qKIlrj|1sdpD!@Ru^J*lr5;2DkmPFH(nH)43&!FH6sSY zaSABF7{nb7qT~sZJA?OQ4{QydNgYI_WR;56Jhn%mt0JN?0vLf@pFz3|c%l`mFuMco zo=;n2#6WbyXB)UdhiwDY9}Q{}0vNXP_rYIK?`x<;sUcE6(&~pa!vU*};xUmg(4a1Jewf45NOe;|a7vdw3zvLQ;r$69{GMf9IzP$zvN4IUa8jw^{4R zgDxprRYJP{3v}z0jUHK7g29yUvS#QB%_dJtX7x~8PvSk+<&bh>WuFJ~1i(}RR0|r7 z=2nw8*-Ak9918zv$aJ3$rCs5=OF zFRSR5Khy_Y3f&#*z*a+ILWh_`z1 z7W*EWVZie5^8yfGUO98(w{qV(j24!zTrcPT{P}Z_?<{<$4QhY$W^Am#zbrd4cAW+F zObr#aQ`q|8I{>{TJ3+;0^kqlcZ zp3v|-$-At9`6a-@wGSa4ZxFEk|JZxasI0QCTTnq%B#9y!R5B7JNCp)I$pT7}AQF_E zb5cPG5(ES!i-1U0a?UwDNR*7Ehn$fNy$)6NzIDGlZugJ=)nhbcP^DGyoU`}Yd#${*STnD~tSkX$O zV~`j2M+@m^oDHUb!333n%OMK1+%t&uimYFO-`-ad#sqN}=#hphq?SPWc@Q2qXBf=@ z8ZP}REc92cep!~_Ge8U*Gmubukm~of4BlJ<-~%}Tv%fsV2-CF31y>N-Aj6#uDbYRD zQkD=Tqq%tM^$N^qeUD_$BkE0v@z8q#L^nnLJJYns3nX;czZs*y_QzJvm>mP)u;kJ| zhRM>0{t<8)B>+DbbmQWADlx77V``{(#-?{G^%0TFGMDTyqB|N=Q-KWKl_f~(cW3Ba zEHQg(%$ADtR!g10;%CXF$DV-NS(M)F*Z-vn1sdodhCw2K)B#j^3Zp2jV)aOo_0$&{ z^9o~yYXuHZ;qXg&iI1xMEU+QIg?oSjR|~@G0e#elka79OJyzP0;OayY>N*er z;Sb&un>&aY5|W8RahIc$dj!>+D&~s2q9!H~^vFjd5E)T@zEQSU7KCVwd-cd0hU!9r zd(=Pqy8mnCw$=qr+p)b)M{v6leYR2F1Ec=+Edk^iBh1mK+xn8DrUjO11W*<9P5ilj zymkSAeNr)IK?~KC`7;p z{q1#Yv^#K~c>Cob^cim_ACx<97S55@=d#9o9y`Owl0mo=dKsz%4v}o%)j$E?05#CL z0-iTfIcnJ-fcTCWd?>6&K>Am!h&5a2OqebsG)*XF}WW{ zRsN%o@L&i&$(VVD;Nn!#?KG2$%}OL)f;1Gc;DRWEs){Q+g6LS=bjBnoFNe+!?A*Ax z`!m?19wC-L=UVm@jkL`!P}uGQ`-IR66*Zs0#t1dHib(tz2r+QllC`Bl@^{~6VgX2~ z{J^^ag>w7`?d%3T4dR9Q7Q(Zk--}5J(%}Gg_YPD7=I^(q1YJ&x#$9}By1%p+vn!y5X&#(7X!{_6?j4G zR_0XP;Zk zDd;}Inm}MO(zgLH*`U@NI}-#hK)XI5FQ{E#M66|1VVJZv169ZN2#kOoX^21xScLUZ z;r)W`VNK}+{RmMo{4$p(ciAJSfW){NC5Jy4`&BU^NRJfGnnbk!%H0NzTnNJ50B^w0 zCSrhMf!<3MP*=f?LdY0rcSS@*1POGf+9iY^BN!EU65^dEu_31=nyf|u4`U4~p2eE_ z1xl+k2B<)3d?vboiop_vq`|&f` z3#$Z@1!(RQ)vVj2rqBt6sEtsl3m}NZ&cR^=sUMCS!Psd9cijJxzML6YDhx!gwx-+! zq_P3u7;7NkIeKyLiZ3HN8S*{6dy30JdnTU?`qdbKOE>&nI3}VraGmE8Hfe8KPGz3IZv*?gI#ABo}ih5HawA ztOB?|wZmbNB}#4s>@0c`*=les7@}k%LKt925qSDu1fsuk7|e5!$`=ec$t&`|$8JTo ztwV6D8j4BUNp6JjjSM2>>@wIF4`I_I{mJ^E!VtZGa0~)4KK~yu#r{UDc=L8H)x#*E zRbiw<02o4d{{|Z9*|~1zjxyjvOpL!4xJ=;@0*7b|P;>(fiCz#pK!ZTw=m1`$LNt%x z39xS?UtHE{^pT#bBrWiu0UgMUxM`3sV{kL@Kt32mB@= zJkTJP`_mi-3Fp#V43KPQz<)6X^%os*!R(tNNK68Yf+a#)>$t5y5Jn{x6cp$N?)}b( zvUUTm=LbpG8m_qsV7+H-EXaJgJyswLJkxPV158Y&GprW$&)(j8Xn0YtbQ6d$1YfMo z)29@`V$^L7gM*;o#LUb9qMb14u+`Nw2A`GRnE;T>il3(bmS}^7*7u0Y0dDDdSdJ%C zkpJs8g}I_|p(#`!esD(o`u=6a;T4bm+0}Iy_;3WzL1CEQZ{Q>I>X4*r7Yl(QyD)t+ zP~rgj+*j?%(ZeGEt9%cn$ab(n)gy^%W2Oz1ONKZF0FRW&&N>C0;JY`U(KVj~tIwL) z$)*_6`gI7!;uHh`!|jDWSU}#`S7ByF5buIBfW+aP%Kb;+I(h#I>OG{mL^eZ_9v%zyuy(UBKimSGOZCtH17IVF z*kk_lm5krZ^F%_@8`v~IH&NZlrf4zGO2MRmy7QX9tH4i7dY|kioajN)uy@XcAS3nP z48Ot8Qyou@+(iyy!Mn_sgx!RDv@ z?`~kL??v0^4BAGaCK<8ok+0j21r;6(X-B+wdFx;g2nK{XL~37%8Xnd6E>Q7gZopi}+q9p)9mLew)dPIWKNi>93KFKepj z-}vB7mv2|pJKEQ${Y2vlSrl2@=(yvtZ|hQKx)u#LEjKNVXM$}hH_Mb{Jq6!N1*!sd zFouqcnc~fH#?#$?qWeIJ=&$=<>_FqV&U2UG3{uD)w&omOLL80zQ%Fbg zUN^^)^4Qi_z7RU>sx_RdYJe!S;->%G2mg9p=l%v^%#ePE!(PQBBIo!i=dr|!9YmA$ z|59yD>2ZwqJpLN?mUnzFZoCCr1#qe%?&*Zm3FQBQ4sgnA4W~znB<(`4wbTRJ5ypCi zF33q>IwQPntT=U0xq9FP+0$uab=0D0uSe`iAWu7A!in?Z2Y7aaEK9$f=+ zYwN)MR(R{{B1H*_>2FM@jnLPTPZyApDOU7Fbdzak1=4qJ;Fl3Q*}ZADgfSh3kinyphIlQS>{G;Z(WwssM6q0s;BLY{jZC-m86MWF`> zM%!CiJ+>$vWxscM4bJw6B`Kf4YDb~+;9AJ6dmI#b#(-iQ0A80q1c((IzuN+f#FbFei+a=7xTZbmr@~hGwR~?{Vt!~ ztyD3*>P4NMQZ`02=l;C-20&saXHMJkfw{0b`k|9^;coO-WOZg{X0C~hZ;AlI+7sJD z95)w4*Ula{RPB=Vn($^89BwI|@Ko)%RykHD$iYP0{A;4gu;@opM-BiKZ;vPJl%vhd zmiXN2_%ct9;Ya|dqaFUBvvWHKtQ;JhIVamyvtXK|RdgNdxmfq%?OUu$n9GEd4c%j$ zdza6wtsak7(aQHIc@ROyO-n>pJ(mYEIs>A|%0{j3;9t-b$dQ zSV{HgKO@nR<|K-dLT=6j=;&6}3 z0~xWwNvwI|uBWFrj2;CO*kaY{wgD^xgQ5RzqL!9e&uBzg&$g4zqS1~=LfTEd_T89%CB=6B1ejR}jQFeUL=%;n()QEnvcKsL= z!TpF=VBq99Tz4;gvFZf2d|zSCI?xQ6Cmzr{G0F?)RZf3;^xvq*bqRKTNzOrO&eM}4 zHP3CeAN>|3OB~0O92=W}`O1IeSr(^xjKI{6Y!6R*Ku}141}pPDazvg!yC%H))x{2O zZR6bkGNIlFA6S*K6K93E^9MzfkONc zqFads>r~_GROR5UnK7?q&er9uXvwU9OQqVsb*=vOV+G_!C^oz=* zWEzK%KvfBwgX9%hk%B${ppFM4+7K5gz1U%$SUVKuMOt4~GuCsC`>H0NR&77!a~GDr z;;|*=`B7}wOYGMMFJi16+wU*h$WIk9Z&pMyxc0xUL`fWICB{&>pHUT!(5Q#Amd6Z0 zp}Hb=APo(To4Deg31TRu>_7f3cIXo;;_A>g@a^%f!&;6*3}g%JWsUE%Av@oCd5AZ< zg8@8T=oAijX2jp3P@yAMuLy2Hu9AOUa>+;X--k^Eykd|)JrDIS%t>~Z{@;L8@-Ftj zu_|F#a+-d-=KI?REI(FDJ1cd?r&Witr*BX;Ew|cJQ8o!I7&Wsqi?&%Oo2xRkcoeBM zpj(o6S(`!%HKOR6m_=EBi#7)QU}f9>bLcki7!{L|S2~o+)PC_PLsL{Ci@?Pu`?BbS zoGIrp>)IQNkK7`rB!@HQLY2&N{83@j>l#56=6PJwK~LROrOEySkqJWxAJzT~!5f_W z_-_RL|1hBc7r(j|TzZyC-bXUUw9>CC+U}* zw%y2OO*!EudzUqzn`0Dszx=7sL%|p~ez7|pD>gnuIpdtvs4xJR+Myrik;IQP+$Z^y zsP_aTPV0{5$AZ}dcV&S4DDep0T${l+R#nc~KUb-!Lpl`q(L>W}=e}(^fiewE&$Fo? z<$V{UOrLx=O#A1$DN}BE$>b|E@Z8#-3o&%a%xV(qaWc_fJx^_$e4K7WC z+kV>-G?N`Pb6UD^r34-Dez*d^$J!#JdLXd9Fw2+Jn<1KU6idfKP+|zHij}JEv^JUM z7g+i0{(f|;%jjP`>~MTCZp$2)$kQ`O%S6M4XUBS4(u7P+7wcj&|7PcE6dtIt)!wKz z+jmmJXLz(dG9N#x0a+f5lcyJNYO$_5uUxBb5b)%FuqxYU5|S9vvG+Kd1+Qf0sBGFG z{Hp&mH`X>IIj`Y~lj#RdS-E7(5V_>5spOW|lgdU!!k@l$O>JpiYl`ZmzDF2h{Q2)m zp=4}2B7eErx=q7%$0Yn!8A&v2p*{>Ug?UXYvc#x=TB&Sy!w)Y8YE&Wc1gyd}QY2wG}@XI4p=I`BLf@$W(`QI&F2o zF=3-wN$sV*KG28f1EZ5_(UgrP-aRr~>#?_^f@#Ds-OH?1kIuRk*SD)qsUL1d5_LIf z>QUfV$H-;Iy?087UM<|31ucV@EAHnv+rIcL5Q^HKi9%G<9B4i5~z zmU$&AA1#0dR;NutvigMw5HJLkrB!o>P-$v>RlmRLY-=o|=`@_1*{%|j z;ZdQXMEe^-5y2ErKMZeFCKsQu^x)qRiR>noNeZE-;fk_DZsl(n{|KIL2<=P>e*9vn zsNzEc{7n&e|p0f9j=ypRXLlzi;udJiA+{{H z_eDu$2vG!UN0hmDY*fxXKOD?wbMB6g4=j(}!PQ zy@amRR_kY93o)X9zf5Wx>_E9Xv}`)cU8)-sq3;O= zuZ7H{@{v~v+S%Kxl{9b~5acOp!g^1w?DMP3)r7{54C!oEk$%l_Vm^UH`WfoE-+ zG_xaZlh@+i)P#^^`VN=76RyQU;uEesi)W2ByXRj})@1*6Gh8+hX&xd;bTCY2?q@pI z*5vb^CRgiw8N`pUE5t1ZS6WAXDbK(6GTg+EuNhC>l2bY5FoI6QHgb6`p8sT+*yyY- zMI2b8+v&lpB}6HSBqS1vO%SYtYrAunWHupoSK4co9EzR0kfI&2)r5gstiCZn3KPo`)a^{!c_T?)<}38WN* zWt?%YnB6WLt@U(ea__dGQg^yf?8_(Lyk8e0@C^XmrT+}@r^3|_@nSs_?QVhHzqZNE z8t=yvKfb@(B~_9WUS{mrEq`^TqWBqHM!JMTzytQ_oRF|vn&O;mY*dC)+Ic!_1!LC8 zoSl-LYz^~Zm_Dic|3=E7X?A%C;MP67k0z|qY3BnaC5mD~XJ>j(6ABH@aH%~;H?Q6V z;d$!izKx-C?GIL>A0?rnN-jg-GHdsOUQ+*Nnd@s~o)8FCZQOQ{0&5XDrp`;P2VYC9C*9fDCrBy>CBN!9Ry904T zGn0GTnr+1MsI3Y$=~4=235>ZNGCry1=(v-DKO>gQLNgDzhMSi>sA6j`s=njz< zV7Y$)hx61U--zoI8V*E{=f#dvrF!p&w0u{Qw+dt+yIv=E*93Pf^o^?f=Bk-F(V^0o zj!+PHxX7$co^=r1?_52ZwC02}d!N5z1@X_t)UB{Lxjc_)l8_}X7Y9Egt!iU$_`#}( zc!4*;NTfbGRDq+(x_XncvwgshotY+AwrG~{OIMN(Hq&O!wxSO1d2N&K$G?%regx#p z#iO0#n^<)BWGX?~kC#lULHhNN6Hd@4zo8@WaFXMgX4@rhpnR5BYSbX)2anu;Zd)^B zmrmo}gr&~=p&cz56*=?O0?I7wU{w6#2lP80?$~G?YY~zG>ot)`mxdQV;wGGpOcd`t zkeGHN-`Op9xDZ_sp-Nj{Mwoy(o}}TZK5tZt3Fk-#ziXjw=S@nBI8Sf9_|@S_r<4sjh2UvG1OHaM}km8owy@hN|x#rqEvEobGv#}D{TS(udIz{9~Vce_o{>u{Fb1nqL1>Wgk>xWQbb6BEZzNP0AK# zOf;M^x%pD=zT0t6Ri#A5q)OJVQ+ye9LRVH;A<} z_{#+_n!K^(BOiLnvqh>A^U5xpEX3elxQ=8f*=#hSBL`2E<&2PUE zVZl|Jy9E^3($5ZO?@%O@w{8p9@gF(4W#Fe$TI~d zJ|Rd`qjj;C3B3l8!z}3wjtf#fhY=^J9gqc@_}-2v=d_!`McE>y-XCMO;76pgc~4UE z$fwFWd(r1VT3zqXi{ECA-_CroTs#7DOyThX^lTI4O50Rt7CdDjHuMZ~Wy_H+96gt8 zS~2iv4n{uB-`)bHple&UR0xGAc3Ke#9Fnw&9{T#F4KV+*dK@h9_hyDJmcRGWay zHRUwj*s~HT&<1aBqGY4{&Y-LjXlkGcH;|Z;LXS9h&pyiNa{}tdsh%ygVgVp-^6zK) z_8G)-54x==`Gb;vcBz=8Dy@adG?Yv@afxWGJ+2 zze*UQ|3YhWQ<+iEnmO@1@%T=2Tc`rc%BAuvV9{Jf(}C`a{Lh-pSDVPTn-lg;jp;{r znB`R}*h}bMA#A1$?qyQD?oEj>`MSx3}%T z;CUm-AFi#%I2kzE z_B6IT@Xqbe{S_pg7h0m4f4sxFb`dl9k4fuuq1nSXIU)G8oLNbUhAwlTIHMZbL@D%( zPktJ1jI0Hep#keC<4I5AqU@axO@a?N*ty63t+f0607}jCzzr=6qiTN3#`E~13S1Asap8wHR!pyTLh?szQl^#fC})FaYG^$gdPKMO#T z2uHGOKlkv6Z)kXMj6OL`I2>C&qCV4S5?)k3!{#ifIy2y+O&+H z%M~xo`maSXG!3`l{H)}0#rSp$b4W1hz53_Nljc;p<~iyKm&)~|&W`mJN{ zIY*Uqo~xA2n$*YDDjl0@(A}i#j5k{<(FWi$Wi~Ro337GQYr8t_BBeP!JVDe|!oj2| zkANq&?)4svMIP_3AN;tE`OLu~0y%Bv>(5`q4YnHOs%ldrMGc!;npw9pGHx3h|2Y)w z`5ZaT%HELqhr6|V(iuNXvw41R;TcgKp0%dcNmAS6+IuCwPYs==L&Ha02bLc9eH+6w zSF^c{?^;G4seeD?NuTdWahs1wn07j8x?YFDlEEBD*JQ69aGQtaEO*w$3r;m^qiKXI z5O)s@Lj#_>K5-KjmLf|S=-gzD(5d>IaLxO*VgyO={REeerW%3%0S~S*h|sZA^|u{D zC-c5E`c^C%a!g@f-#z2G>*LwHvB7ov?>3!3xgu3MN=ql7H6o1Ya=6nh;?}+sJ5Rs; zJ!B)7nlQ>E?X@b{OPk=pSdpf)8Qo{msKs6D7^h#MaBn!AGNA5Pww)Y*d=QuD0Bu5- z?QT6uwhFczdBHRH?%ouI)+t$$$_-=2Z&HT+V1P?pL5AjZ? zN#Ti;(Tf)Yo~X^kS5Fy+|0#L)Iw-f(Q6^%HkWi}nZkCNlwL|C z!YE_uKHw9h_n@>^5O}?NA{t;;MFg9Ew{1s12+B>hkpI`S# zGYD72UEtKEierR1K5=iG3AoKCg1Amk?hexrZ)#mY*|!uud~P=tu*iZeAkuTXAV3jp@nlA3((tTfZt+LvXT25QY{2 z(aQ8x`a>iltBq-C#Q1zXezJ2igFtD{;%h66o*Rt8#eKPVe(Rk=9bgkH`A8eqfYHRa z@<@~>!gqKJ>CUTW+85x*CJuSSEiU;&L59;pH~O4ChWvdu2TGq3BZ-L;fC4wHpicQ{ zv}TDiEF?5312B+wn|a-N%2_Xi@RZC^EsH`Pz@K@3#ps1!aYmdWF{jKw5^)u(#>Z`< z0Ln+5Qt9Z=2VVTP|slL>F{ej*pv6N)Sfj z!%Xi7*t+S&aL)Cbg@K28hucr4c5$xNkt)tC413V%`4Hmq6l zAFjUj!dA{J*GjmNS`lsX27ZE!?0@;Wm8TK<8LHUDu8AdZasvj+9s+5R{0IH4Cs`np z59SqovNcRY*>KP@vuZ?h4__4E*6m3)L+FR*f9MAlgxvaLu0NI)Nt`c)Ev;%1?HF@M zrnv3Lo%VV^)4YCy(2esbd*i-0X=41q$ku#6(;1imA7PW+pS|N^e6L`L@szJ!6alq@ zKl`c*%Ww9k_$mIU3SC`_Hq@0PH#=k&o+MQ7wBU%Bg>@_9tmwR4paX8eA^&!KJJ0=D z^a5*vE2|^-WaeX#2?zx+D5h*P2%$E3)}}n*N<%}-(_H4vV|w#J^!4}B9#87D4M2hb ziqcq>Yrr3NR5RenPo@t}(^{iupb~`IEOTN-tp+IR|Ha&fu+eF>z*5&4b=z{SSjZbf zN#|~ScnT6yn8Z5pQU-^Jzo7Y^k~CQe+sD6%+sc@~xV0ogg6PM8cDo$ea$PB=AXj>X zhJ;5zjP{P71j)0R@E2)9)>|Hyd3ph3)ya||5Yd}`DVzM#fbbrCgBEnkmenDxtu9+$ z|3WGEd7-4o{lhOmhHw$lE$#P99h$-=g|Svp2F&QZTXiLR&|)Ssz2qmTGK?kq(SAK$h=Id-TeGB>V|uaSZROBdyaFbBY5}sh}A>Z5FOMZEG*^ zJLh_N(Cu0ECS(TdRIx=cP`?vpsRS!xIjxNQ#cQimdfJ>JfOa{a7G!g?!f%?iGVarF z1wEj?hwT``22H@g+$qid)RAx5xT4Pr`B+EZ4~i?>zO*VlBbMmL4uYAZLw$j^lli~4 z4!Yr9#QHTs@cF`;CP7WyymwM{ zn&g*}u~ZNZY;%51CdP^tQA+A*)0j7G=Vg%^)q(-*gBp@sn``x@F=f#`o2|)d`BN@a zRGJTK?6;6>s_0@G8ds~4&5J!deiD+Is@VKh6W53RXe{IC@_yr8`EfxcEt3H)tZrK5 zkfI@7v2gW2)mF_YPRDj~8N+4b!GuiCtsabl0w;D@*NLkk*XY${LnGBqn=je+B8sKJ z9U1+3Mu8)PM+&ne^XCIKC5jS44Y1;Lf^N@Is!13S+?gc|xDCWnetxpF0gqFSko;>_+~xMY(NswQE^Jys2~rOte6xvUAA7)WD@`M-h$swUu-i^zSXR@*+z z3*~QN4oFN0cM6g<#w+NmbJR``e^uQhieyc7tqVX-Yv^!}r%yP0Ihh6Ayd)fLOOZzjn_k%wfS8y5REAo5wQzG%%=V%E~wi@#(TAB-bnThb;$q0m= zr@Zjq%d5bvq;xX>Mw@IV)gjea+vyb8sTtm0SE3X4YwfeM=pM6(rW$3yKL=E=h;F}K zBvnx`r~bW*H+U_C%A60QR1!!8Zi0=lixOMac@*JqHt{VYXsGW)Zq;|68Jtpytpiv6>8tMX; z!J;$9KW`L$vqRIj7IyxMhN-cm@Zg!?XKxY z{r(@M`c_ZwC;?lc>OvOhQM31!VY~HNXR$|Y7|A=A2K3?mus)qm84jU^uhbUE=Sxi~RFM0us}AgaTi60>Lb>m?YBA5N`e$ zGyUgS8`Njh1xv@LH>Je?u<->HGG3+O%YAmkS8gZmXFmuc@wu_JCgQ`-w(jm@LNsxp zcqnvHE1pyh)-TNkwhp{|6Ttd|LK1|jH1V6iYknqw;pXer(Al0S+$+EcC$3&`VwV== zfA{XS6z|r+g(JhLn`>J4Jq1;IdiK&J40Ii$>1+!Uey01-CXCzO{_(DMdIy1hkF>58-W?)_r z-Xf&6;l~)C%2vUnzJ+V72f%7!+gFDp zg@U9P>aRGH%exD5;9e47HAQ#DqhSlj{g>h1_>#;yx1tG}74&hru0|WCM6SbAV>Dus zP`WGDQc@ZFDChi$s|E2uT<4DoQ1Y9<_DkO7_^;-?r}{QEK89YA%OCSwK|$X^Coio6 z>Iv_L%T?E`7JS8zzMxqG%ibAh@rbm}ghRh1QqRRpe{O#8QkF||Ne|v=1(=R)eDB1I zqY8xoCbQpcG`>p6>P$qcCdL;T!UyxIB|sKsJ6;L>A{9b1Vx8Vufi@Blcq+2MKuu~0 z`nzmQ;46z>4D!BL4mMWY(x%hfD|4M^Le>kdubZo4#^-k>>%5=aR%xw$lyz=M3V9}j zS?I1T$zsu*pC)`g0{Onp7h%@9#{K6~u=+G5MikSej(b5;L&$iu#eTvrAN$(0kb$x! zA4&+>=q>;_)BO11 zU8zbqKOQ)MO~tJ6!R{$pYr4u!*D$ ztninAX1*md_PAmD1SDF%B3;bzt*L+p7`laE-@x6g+MG?Kb?GNC`B@;8zE*Y{ z8yecyNlln{QIs$MX&O`G0#vbsu>Gz)i<_@HPrj=6A%@BS4V2dhC%e~Araaf+Aj<(d zX^iUN!{*?%qw$lYGj3={4@TtFLZo$L2hIdky5ndjwb*n`=&t=$P!K8^_JPA#>(o6PlX zriPNKBwIX#c+#0YXzKDVJ1}UlCn8RN1B%w%MgKY?!cD{`S6% zw;^KBqv-i1>+AFl=;iI6H!}*gHXst($i-7oHq~g#UM^;BS8c(O6=Sn&2f8>!$!$zS ztYz;#O6Rw2Fl&#ZtuQKu6)(XLBi_R!BFDLrticFE3nb?Xx)+sX7W+;~E<9MYvRV2#fiE1Ho9`1b@#mB_!4W5QDiYE8 z=+#Mq>WjNF3^zM?BYw;2(B-<-wR`i3uRIdnyrj1=RhR9Bt&W*GiV7Q^!T zY|pQ8hoP7+Eb=_c7N4y~8(RcwaUCu28F8?`?8CVAd%4Al?2#LFkUrjks&eiKC$#O{ zCmGoGMYfbg1Oc^UrpX+*8;+Sp2~tU3xNW>2V7}B=>lO}av4pyh>6u=ojFP(O-rL2k z$)#^Gw`jPmO+pltCVNI_UCNZ!)8vi!`u!djpLDJs;v>hH1x>A`t5x{x?x*NZYM@+* z^@{h*v4KzH-c8Znr`Op|S3CQG4jVDFCM+_5Akx4VtOfr^?>h`ty!pDY)rm)I8n@RN?22LFSfl;klNUw7tbIl|CCe{eT+ z)*$L;i^ZXw?X5(g+g>w(HvYiA;a3~Nmd#+!3%qQ~_Q1H=KlBTax@nZLx0bGaNw-1} z;tIQ(O1>8>)c2Y5U7v-dSPQtSfuvoovH zuQu!+p{gQSfqUWokBIW#2`WGmHk3Y_IPwZ8RgHyYxUDwK;6mqVn@Av@=Lc^o3iiYf zowc|cVs!#%4|>6oc5p)ZNUoX(w;t&Rgzw9y%li_ya~;d%?<$s#evJ9WN?5Lf;i5e7 zf}>>*P=16Uc6b+XR?67gP|o=faL!k%W>kzy4~!R)I|H#LMdC^~zdYVkoLwhfI4(p{ zC}V{xx+T0l!n#fS&}!h;S@1TD*jgY0tqrP#tdnI>l&AsyJKyByYjoE<`eXkatP9m| zencq5UUkCH8d_U?1eH6BKdO$b{zas$?CoV8h1l6-4e8ifQ12rnpJSk&fGKLwhiU7R zxpzAc&202FBXUC6v@cs_ixldMj~vSIs*%pbMRdG~EAcCx9KP;5R8pqca}JE7c5iA< zG49u|W9vgNM?5sUbmYOVCqTzpg^mi zL6O_IJi~YM$4J&iG^-So*1@i_dG{u3DurB+(7azkU>*Bt)D;E38E{Fi+!7FZXm#+n zzpCpSmX}6rSW;TZJb!2JSgXSaq68mX69$?!N*8Hh#@5}fs7R*B1E}l_*xR27@LpX$ zd=9Bt2zGxb;HHjJ)JzIBP|5Tg*cc>WvC-@b1Q>J@aa5x*cqOCyH@C2_(Qyvqg#c4H*b*AI3_4*N`2KS)#hqn^Y~_RTv)N_ z1$%TJo0K!<9v1cZFjWv?g4=f?9+*m;xHq#r0U7buOQ$j$iyaI2m*c>hDn)g@UTO0uKum z$IiySd2jez{PNzE^T1y>1AQ~Q_7Z%XE$B5`CT(g>Vt))NVq-?C^4`GJQaxbKux^~R z;VQ6Qk*~L^gzmi`<>l?r^ZQd8XbI`2im)^tqpk1D-LXWC`)9$!%zxX+ZkN z;LDNLz>r>ROLw zQ|TWVH@Q$Le92njKk5l3Kh9|VO7|%a8i2$3Q6yx(BQNQeGH$_!e{|;kyWsr zoYX_pt^X9i+wy?N^4X$|-CyiyMY0NS@%_-IA$=!%SFwA43sRyje#OdRqsvZA`1rbe zByc4o_FwN!xawEnGyYU{B+VR5)1UvA8Q3~*UXpqwy2Gyok4i~%U*n$6$H%usw_S>L zzGSlE87n=vKnQ|dUD%jy?`wE}m2lgyBrA~a8aThkB-L+uKTqk*Ok>mK-`(YB+nry( ze!e8fg|}K$oTKFj{d7vykoSSa$B%p2tNZLZG?Mn!0Ci>UaGxko0&_=P@F9%ad;={?F#flq7`MZGRu;o6>l&b+RT^GH^Zaq~DY_ z;hcGfm_Uz|VX$ml-;Fq(o%6`KhQC=o|JrDlbU%;0+s`)hM=#IykG{>>&e`Je6i|pO zVMFcTgcx8X>2Gw(Y}5w0RnHcaCM5a}tE;O|_;}3u>_#Q*kwrvCI`?JhGz_?P46GUI z{xMu^Lte*o>XwH$$uYuNmSc4wJoanCLDlfWq~#yQ^eg<|`-A!(u1Ux4+KIt`-f|0H z9F5HwD0?h!+2dy*brgpy^g1ha>4JW$5H3u{yQ5#IZ->%UKRt;cj_9*WBuary78cv= zc+;DeMH)wZq69>d+Y5OB*s#Cu3ezp)bi8 zv)-GyLKbPEb@?3N&MT={&KBRi*i;x4r7`wll>BF z`Qh+~K6YYbQk3u{|BQ^DdhxGX=M5GTB@{V=h+1~MbrVun zxQ9$Au{tFsYabI>XTTinHoTe8Uh8&r<|%tF-;|vKb8gtFX}^h9)Nv|S(Q{o8T!o7n z%>C+bm~JTAYN7P932zT%uC=Ge{@M{pXubztf9wAF7jA1Rk@H(Bf=2<1qd;jj{5IhJ ztb}LWPgD7)jpSv2ZK94XNCFag9jf)TFL&=RxgkX^Co0WC&tR8#^*$D5#sbvC66bl<~hVk?|eDL1Z0J z{`BmHL6cxngNPhH^T|StmV+(G{(I*$B5nE&F!Ko z3PndWr->ThIDk=_jY_RU%I1I89v&pqT`Ah4Y)C;D8%?f*w<|N zv*hPs6J36jq$TxI`#7ig_hov|yN|NNjsjW-V$U8V?Yfl#L@1`z&up;O4*2njqTrIY z#l%-vI0VRB;=Now}<;>LM*l`YSA=-Z-crqFGH2&`yR&sIA@)pMpn$ z!ZO@UsD+6~fs~<{(?3~6z%!fV;5t7f%@;Cyk%U8MWFw*&c^rpGzma3Pp#uJx#g&<1 z=D)1PZnoQqZ(VTxS-x3W7(hBBiksnGU?Fkdwej%?4bG2)(ln%v3Q?OeNg|yA?gpD} zigJzhOFmt7I3R2M_UEnjcL$$)N#u_L|BT(UB3(2ve|)UPP1Ax4x;`B@nEeu0GzS-L zgSi{f9U?9TC>cK5Eh-uP^NcZfjX(3e>vB|IF%otu@I+us2y^moc}dOQ+%rzB5f_EU z%WtVOj-JzW{(Kx7EN||O;d5;NBcU4R>$ZNCw-Bb4x*GA zd&&sa(CweOdYq*8Wp_01Al$?4m<~dSRMZAGs`%qsNm-70N4WZr4{CV?GVQrY!^fxN zZMgx+MgWkt@@V$n^N4pHftAQ14La9no(Rq9pWmE|Tu9_c*hl-uND0 zr(e(H!@|BgEye?~aItj4qaHb^iYeNf&s7Ga1^GLl9pJlp9^FR8ed^%?&C=E%CBz~l z9!+r{rCk-DA$fdtz_C&`nhfd2`g3Co>^jqLL08af!lKk_qQ4}(QTr_5=E(EQW63eT zihautdx_WgZ@N@a_iJiq5qmCL9%ac#x^HLbb`TtO5m-Z~;JxQ|)*;uSf0_=(JGuKE zFO12u?+q1WqDDq4`d)A$bzddtr77i0#zl(; zl!DmP4ggz>`!T+BHK?Db9n5<}M|K#HhoPT%rId%)I339KSCgAoZmWLDD5G2oX`1mE z-+bVi)S)yW4?m-#sd@key9~M!)#ve!nJrM}yP<`7x4gvkE@Cz#CLw{YzMP|>oEfP2 z2~G|nNyh#=Iog>(h~O`e|bWW3*zKoC1cQPNjplSI9oh5GK_@2Q4=WNo;GOu*^7FJ zkcA@fddD7HULbCI+K>{NKP6!r%FAr@n3J0zNq%qeB;?q=fzy1sjRbtqE(PXxGl4WUC6_`aPlf zl3X6jKwz3KH(5Kuf!T6NKS}qUm5A0uBg?&!Yt^vg^vokAAbC&K!g4Uk-%B) zjMVbMaYfXV`BW@$=DYMYfn}&0`g0N`FB1%R7ED9bymG$iI;o3wjTU#e-{4KaZDwUd ztADrylvZ%c3SyKW#w_b!Ff@-NYV0<9GN0MFn+-L0k^Pm-b&(4w$Ku@HR3GOek6Ku8G0plo_3OEM);oYJt4+h6*ag*v-X33l6Ac>ZSP=Y7LsH5*b9 zPFwqw)Aq3;Ne2tN&6x|bY+GqOl(`s`0}bTjbK;>IR;)cP-f_O(t~mpk&!8K403~8O zi+d(c;YG4}=;+`rB~cmEBtw$_(G+C=jj+BhfAf22UT%d)sO4_<1;=aoCN*8-+gXx7 z{)&YbS6dZ7-XA)wxRCO}pO*P8k2)iDhvvhOSt7m_>cPygXC+~4&Ef2AqxZ<7FR%-0 z=}PZzq{dE6n_VM4D!lm=Av45S(grY$$j=7r%!kero7Pz0xJ0=E#z7stxfk>W3ra=M zBg_ytxw!^T|DL=jqMkQ@w>~F1bzgDYKI!Dhw_5>aN$Mz*uH4#ZHO17uyPQ(%jD{?c z3kbioxaDaT=c8fd6*@2M?Ze@4pVj@6fgIfnqziWhquhLW-|QmeD=FZj{U3daOC=I* zNaj|+@g%L@KA${FX+#f$6U&$fb_ccE|XTa42)hA;09pxqiGJe<{9 zVKBHxl5D84fxNW^RyVvX#O)Q^N9)`>Z;F-hzDXXxrk5?sVCJ}h{%jg@z5h?1nroJ^ z2dVx4#no9rMZLZ2-vBH^0qGC{0cq(zD1v~1fYK?=P{YuvA|S1#v~)K^H`1k~?0@9*9}%d^&Tc@8q)*n7Y4^E{t-P0rSYPOeNL36`hAVVNdzOz8FNp{_4c>PMw1W z%_mR_cj@%`v(s{MxwJZew|xtohbC33*C!Sh-^YRGy{IecgGs+`R}j!x&0%&;u>rMJ zZ_p$ai+TQxd%3g}r&Y-lnG3gNJz2BI#GBk+3-_+qcpN;v+(ew$r==bN)?5q#Ctcen zKx`A-8WyCq$A(mYP@{fY@$N=tK~)CnGW`sybtjcLcdaT?2Ls@0udwa}+GrEr&d6nE zpcir|GT5#&t^O35&?HW8$zr{g$~~Z%pC&g?w8>TL)i~r|pie_ST(~qo#xpS8sR|0; zL3j)Zs4il-I(32@msN&Ug>n(;untSB8q31Rd+d6;@<0`=I|qJ2%kdXF z2d$izWPR}E&%*4lhM%UO)Jl#)kLRh-cn7~dwcJZkDYKuqCbOiW%4Y^x6)G;iZ`JZM z($^bb)ydfYjTGl9v&cbk7x)&HJfEdyW65Qj6q)x|pMWSDMg5-XgKyBd6`|fqY;Ko< zyBAKp`MIepFTV9r8^4fP^B)}SOIb0wq-5_wf*r7Q-3^e{y8y015^L55<1{7_7ULmyo+DsLCcB{}0P z76k7Wni@Lf2_6iP&r|nhpKylGwu(A<$AzWx^eF-*Mm;(}X9)zGXlO(mrBUs)EY@!y z`y!@0Gq?I~VLP!gEgck!LW8VD9nLAa3kK251!bUO&ch*rBGbU}0Q-V3*DiP@s3)|3 zUde(lY0D=_b3?cF#yo*(Cq!Y@SfNi%s3Sr8qVtF*c=)|SyPDAQeyEU!nXQ}^c)qV8 zb~zExW6jQfs+{4-M_%*OT>@DbkLhyAGO0D3>T(5fM%}anJe6;zpUR=f%c&u4EsXeh z%lzP2iXta$!s*Y9C~q!04}T%WZpr_&zxrvkkgOHmN}WDC-!M>+pUik-HzcY)zeAtu zKvieK!kFh&t`JPQU;E{5B?$$jrYh3Gqbhhy1XxVQ=6-PfbreDtk2ov$zg>L-a;L9G zT!CXUR+P=+g|FeiS4AEi04-3AyX8y+oF9k6%3t|8FVucriB-^Ybdj98@CQBl0C0M* z&{;JuTG&01)V5nS!zCmnQYWor~d-d_<|^5kw;CAt;t3`FtI*z2)Y3r8X)!-^e2wUZ*lK%YPPlEI$3vcD~@RR zz43oskc0}JCbg5}s&F;1UW6^~5z+*v^K)=@Q9!KT-mo6~;FDA_s^nm==gMO~@ep{` z<~>-t_VCOErjtJ_kluHX9o4E!{`?CDZESV4Q28u3JM%3OTX2KSh16+=R4+D-=D4%? z5)?N52j~g5zDVnkz z>^unZok0PD;tRGFJj?{YMsjt_o6L<~-%uAQ$G!W&<%vpkMt&+U#o08H!E|!T-@2{GdQVX(WiUz!9Nmb5hlC)m z&wzQ^i|;WvK2+m<8O2R-*fqGb+5vX_&es`^qXXbH%UXI{kuWu(pb3>-bz*4fI28;N11aV24s8iyeVEm&PvJxr{sm+A=QPdCmONYqOzg z`K#I#?|YsUG*Ne649BM%^tNY%*n0maY3s{o7#x&p4d2kavZk3z%7WKp0GZtcI5JaE>dPkju6(*#y4M~9I|9fzF33l+;Eui?;3=u7 zOjr~dwB2x}0iIAjv?&LR$V)4pPGwv9C{;>xPY2q-tQgbPEmt*B>O+(7-Y5Nf4?hUA z6PfyQV=L6Pn1KoB)%yL&_iH4Z!9y4lx4E!y)IwZ;XdR$D;rf?RXknZb5XFD|OuPei z4tfkJDB#QcxV7L3#zm-6`LWUN4!^l`o)=FqFSEo$X=3lBBWmiOMkQK9D6Cc9W>m=M zcJ@J$m_DYgcl<25dCzs6L>?rMEbK5CpPADH#|pn<5uZQdb?cqdq2=`N;uDMwSdvd8HK)xj9Xg%@!33sc)l(+ zy>ve^=_H=fZv8q%ePP(_qDxWH1y=_2t3X#ouWIb9@E6s?jHl{+{b&kZ9w~K@lkw8U zAPqY6NC;Buezj0#*JbwP;#WxYS3l-5*m!W9XfZ)4-|cshJh;_^{&L z*XB_DKy!%}XBy>!w>cLYCfH|8P7>bT)f%}Hkj{@L$-!%qBdvMMn0orz$r8Ag-N5Ij zA95DvGt8kn6+iy-Y(kU`N@Y^U(XZ*YMq5!y^;;{|H{?rbf%Pi!DV=-*vX<-H*8B;b znd&G12G%^8>tha}Thz7IyNOL&*A+DPtj3p z`V0K74wsCEA#Q%5S-L{Fm=AZwz-W!a7W~-x zbfGB*fSvb1ta&8murkB0cU1IC0`eJ8zG^ji{3@m=YT@T2DOxinjp4gFtZuI#2)j*(H_7~);i{riq$OvsN)TlVx;zC#Bz8P zfu1HWs6P*ZCqy_L37YVF+M6(25r(^Z)&dbe%}aX`#g2|uZ6kvNtEY0nwM)~rydH!% zTl0t$|N4AgKm$Lif7ZKuB4UUZXf_N;US9cNrd5#_h|sZPnYLKz2R1qouK?+3VxMDV5zw*DtjRMjAD{D2X|IDCv{0rd#xm5m(Z{E z_Wpk?@^j_cD;fwz0V<}2#mY?Ly8i@hmI=?9r1~Qo@>qJ+Y&HGnUh8S+3;5N)`#*v_ z#1LE)H7kxWqc>a4R30@S%p8a{Lh!mkEJ}I(0x+PE*y># zpPVEIsh__r9GxZFE5gtj11d3Kl%<^ZVo#?#DcpyR2lw`m-bnAxm>%j0*~Qvj9;^QY zesT~!+_5G{INvU~exBKK-D@HXNMKpZzdN{8L^GtxfDF4_JNRhGt*Xb1eQ8Z004b_v z0tEQse7P1=)a@$12l0L`^&qQ-4U{t4^z0`FFs(y*dY=hICHyl}tbA&mbl+Y>)EpjH zHq{5-_FqT2Gv#)H$zE>ABOs(D*HB>8IG-vyi(|!Oe!m_yPv}Q@to0HS?1xZfZ10~% zkrXWBs{0iy_zzM+WP>t`t*rJ%(c(z%OD7ClV`fWhq$|gHB^Lf<8aM8U1E>>F8elyo z!J%_ESQO?uuQ6TtxxaGzNqS~KI0S+p6->MgFJ|casZ(Bp?FvK*w5HJzL3%b_SR^8e z*{hZB*J+4m6Q5L4U6AC<2?*c@pL-A##B`w*8$0pQp?lE`|;>@vd z+45Tukcz2ii!ekZuN_!_xCvSdD)ouOxp?Y{u%s`aF<3I-0r$Lx&x!?WUq&-)qss=B zy?dYTF>oa*H?2UL0yY+Lx7 zKF6P{#t!%xXeK_E<4ibj(*%zB48oUNX+@im^B#lqI~j;D@LBJI8`K4()$7XQ5Rw|= z3TsVXbi4&T#{iKeGzfOEv@M4nowy;1@}C_L{pW}@Dt9NOmvu=Qtr$bd*!N&JCExj)7W?(fA*%D1kDA?U47Y|df zfJ;;>F8v5a^6Hqf{~H>E=pjM=W#=M7qEn59;kF*APdqr&CsaT}LfcOGcj5LYi`hIe z0W%IjXA=$?`J^J{l*~SX@q<`HzO;Sd@7qagg&)L&73XA$|k`WRC(j}6w5pc#ibJ35l+ z28nztd_pelxreOp2Op|mFD4G)#!Red!hb)WR&CSYao3`bk_LZYAwQaSF%9)hoyavA zpI8J4o6iOX(W82aEG8w%2~nh}ERU_vuuA-?eB0De#wttc_$~>EJEB?cU7ko?T3j3= zE~e2Dz8#ugxQKlv#82#q25e&=iyXz$W_NurLH04N+PNg$`f+bY%C)`HTy^71!C0+H zj!AC{W(}8wN0l54DPp>S2W89wf~FG+aPhK;e|b_=ecq-8kz$Zev-F9g8J#LiB?>nH z;F3MRq5!PafbLN^`XA#Kn0{%jaspE87FsLeTLh|(^a?)BnEpTQeoq00zI$Yvkq2GM zLvL^U-OVx2R~JhI-XQ7T5P0ndN0`C~&k=FT>x$ZKYAnp$;Z5t4(iF|FyPg1McX)=~ zjcZs?DOO~;ehiEz#fi#ff*x3n9V;X`V8IrE9-ipatWqR+!8mS5|NAcpO1Q9OrIOte z3_i@AJ1V7(Q}*|(QZKJ3C+`;^a>+)+?>xs~I|;K+qbKnvQ?HsQu2REN4`>BdUhmhr zf1!N6uS0VpQ=%KcPw3a42|fy3sgW8Loz-z9{^=L<5W#HC&prH#urIu`%%E-BhFwCS zG~yErZ82OE8YEBCRN#vwEV!DnBnmf&gr%fnQPW_Vc|30WD4{OqoHDX1VKSC|dmy!^#f#)#l6jX;KQpb7L~ z&g5tQ-wu;`4B@wW_q=&4o{RWI-ra|WI}fpxS3rmM2eZR^rn%~O(nXX;{OqQhXve+` zB6%W5Dcb$n^<(QPS#%zN8ccX(BG2KwZ1TEbC;plsS->y)Q3%aSrbnb~GJW>!oWBv) za(?C`c>Gs%y12bafsa7F-0HiT-mP9o9`b(#_V4($O4ggth~bB40FsTn@vFT^g(Z>` zuD-@k{6j#ro2*muK^wE&}Ak1wL zmcln$PJhxZH}2bvox+zdUtjgE{BN$TlQQPjFyNc5zK_Gu>v!&9oq*u4Mug_h2XsK(KBWkH`qdj1fvQ!nTr6ggFjXqA2{UG8 z_l7uCyY7N&F48^j^ax~hmJIwi1<7~z5VqQF8Y^~K7cdlJ3rnN;pFAG;j6GpJD@ z8}emcO<-5VHNTbqd>Oat`1q;3MxoT9f0uWPqg+UwI7VJQQ6>J5iZkeMW1Y~UV5nXa zK)5~#U;skmB6eInHvDVFPbD{Ag_W?qKrkM69+>gXjExt%r^0bU zL)JVianYS;`ZlZL>ONl2ffz_6%Ut|)eM*yc{-nNyv&(BA7P7zS_4S`Hy~xq+V>lgH zJ}soq_ut4LS@HJDdk5CuGd9V~(qJ?#e%Bhi9Gewe^>o1L#3R*32q49Plq|?OiLj4$vOjYRMpVxYA=h*2AQb#bUF03NJ8Mot|ie+x24nXrfyt+7SYIvCV zau*<}4}6=!3@?e%BSf#Vz|WynE1DjeXe7_|73n`(i9SBr&xLx}6hMkTdu#abGKaI; zV8F#sm#2j>*W*Xko_11f`Z~oMB*D7!PEQd9596#mP&)+@o6R--UhJY|ER(l*^R`@E z8D>O%{ZO?48i!>nrcWzy+6o|E%-2(JGzwc}Kd{p&|EnN|2dPeGU+h(*pU*aXjxfoK z8dh}F5TzW~N^!A^-U6J&NvA4bT`!RjqZT6dPdf91H9Jb zgUQ00W4{e!8%*D8s3RI{>(LLdMaqQL)(v7n)z7Y^ez6}Fp&lCmQYET{#m+Z;c}~HK zdp5~Jk3u({;j5BvY+FZJyeHlq*YR2J@(IOaA+#@#G%pz4^dI!oYZ2jC8pikO2fsi|Mm6V{)>scpqwIz>d@$r5U>~6Sh)Bh7o5bJr-6YmXI zTzXVUOD-f95FAQvTXHja=miJ08~7gKCfXZjHC)Fja;mX@ZW~(pWA~-D51sY79N#!K zL_rUOZfRJSm;)T`1TNYaC>ZsBBJ+E1~xn5yJvqvfCWEK zTuMku4FN#T#0~%zhsDQJ_LiHPnfZfZ->FhyQiuikcaFYe02Gi1aO;y;`;*w4wuU() z3-sq1zCQs^`_45oGP2`ZU_12=3w72HtgSsAytn!2%Z);`Yhm0*)$k;li^eI+K?F0iYZQc7y9S=f9*t{ZQ)! zZy$4ct`Ut@&1&yjs0dWsD5~k4wOII6Ri!M=vIgG(K{z;Bn5h(vW+w%m?pl;~puf6O z`g~A$a8%1!%=gU784+D-tH57HnC=7*iMroh0J8DR<{hZxIODdMMO34K3Ec@J0{3uI zM}6Rp&8##s_9^xmf!XV1m(JtILO<~Prtf8s?U#~GC4U}&9cIo+GwJai4|sjhW_aii ze1AyG3eW9Zt{3uY*(F2>Jv-6KH|8K&s<8*aW3fJ{rNGnvp|`b;jVi_*e{Rs+77tY4 z6VN&MQcA@uq&W?%mm!>jO3n4S_2Nf&z6tV5|CIwyIrzm$;?F=diX}G<$ZNnV_ZUNf ztlq_L3fS(Nd&9*+3F=*m$HNOU5?gca&gr>B!MWYo>Nl~>m#E7V-(76z28<6~`Dd!S zrlwo!RPNHUadQUD$#b8cp6dkT&<+pkfKyZxwzrm_6Mfj=#w9GhsI&!;G(B`ng+2e?)(t-68a+y(K+x?Wad=VQ3BXgIYQL(D-x*YUt1S%`2Qcq?W6_1Pi#vuCE z?@~|9%^C%p)MND;DisD?q;VriCTC)Zt7H18*@!lPaN-$53*@$nkXo3vYXgl(eZY^4E1eD zZp3^S=gyP$i!6X-;rq2@bt_J>^Y(4fwZ^LIEv>Rj_Gz&za`?5{xEuee3G(2gfZUQB zFQ+-Z!exLk4tBP6$>oK*)PXv-O@^-O3pDNqLn6D*&cw0x@~e?(Lk!#yiFF=J?p6Ui zX(|$1t+)dH3m@NO1pyFkJD}ckW-2ixWfZoYtMTSh3gL`Wx;Fmj;OL%s9Q;5)MYtq9;d3or=!9(y?G}y?t}q z9CI7rqor@SbZX!`ME1D&h3a?CxTBd?z55Y{8_=#i(G>JdrG9ZE;W!ZJ?L0O+&46`N zUIUJh>akG zjtPP$VPWSB6nr&`)f3!!%Mt~Hr?d6rT6O11Eqy#I$99U(D8u&vx@u^ursrtE^`n$TTFh2%>Jm8Kx8Ee! z1nI74KqFWH2H4Y{@r+U-<$pZV0UMZZIZWPL7yh-76$GrbAVfB5h@!)9|DkKGd33e9 zV4_1_G*Zor61qb%XuybdG;gXxdVYkNWR|s0U}O<8S-x&zZLHuLwoNv90K?9|xb6Uk0e-9co4n=4QsOy_UOl>1T_}Op z9$MV6_Z7oV2YZFEAazOn6ZsniBSD7$+5c`me*t({5}}>-r5=;6(;gPtsFC<@c6Qrwm*K<-=!hy+1 zzV*FWS{x}h$6b-?lMq#b)W2tM8}0FbUC3^UnVyj`g@-V}m*LsY)%04d)bnkiIt5Zx zA1Fwc$-BChgi~$?`EtI6!(}znlNbR4isn8IysoTgqDQu}B0_dn@DBPF#?T zAHSL61+ZcGn@nF>upQR8*thHq7i9I{wxr?2!-{ZkVD!WWC|TG!inkW(@FUmdrKJYH zL`e_N9<&_jl|RQCCTA7)BBLq{WF?kWM*b?i1#F|SaU4ZV{ru@SH@@ml%l)qe#_oC5 zbdDf~F3jxQb7r%4)~(cb@Cu-7)1H}UJa1eC91~WbM>s)S82PM5_wjy9tl#eqYWjPP zt!E@8ymvtYx)b{jJVvxe`@x!kp^>%afTI(-eJ&kO2vKw_R)UC5?E?fd{0MCz>pBwRar@Ynnpi01_NCMl^YIVf@5eV zC;j=VoI99GRO3^A6>Al0+6g21hA+9kv}Hi+=6Lv3Bpk+i(0^1hSLJCZuscCgzsL8G z%HNoo%d%uY&tDQiUKQ$9DyY-zvFymA`MwIklypu#oEcyU)h~!jVQ!m`>;V$%~pQ z<=r+AvHQ)LEb9*C$#TXTCLP+0?n5eW*wHqt-q618oTP-(2JodxPO#9|2;sStcB=g$ zR{tZ-);g@V_<=Slr%v<|c$eV6T!BXh;7UQ-o&@EmrVof2YJ7iPDe!6Egwsc zxq45yUdMuL6I{VOA`qCxGSUDZ&G!>XlY;5n2v@PXSuT6Gc52qX*5zFQQ+(!g*5&KP zp-dJ4k3F+}drLkC3c(mCn%X$s&r z`R~eTL91=gp01p633Kv)sO)Y-2-T}zgS0VzvVl*=lRrkg2xaaZo`8B~A(!>-(s4&` zW{^p*tZf)&xqDc(K>#70J|W2%6_N_I*HmdH_P|MLe-S4N*dX7w9N#~AzaW$B0Ukik ze-o!P)S1=^P<_iQCy)0FC?ZkWFzWDzoThnnao&`xYUgAS(+C;S&o9?!tr(@lW z0}7E1^XoxVwrDr0jMBgbkhBDxa&54ZXIH0b)Zd(Ou4|1N<+X7jf*i-TCKTknF zJl^9~WDEczA9Pz(QI^e2x=&M&vsS@syk!oHToTqtp?K(SQ5T+%$gq1sj~vRziE%go z=;0SluG4LHA~Je=!;uWP21sZjw@S1%~>USBf|M$s*6Gq=GX- zP}0zK9GM7gwg!lp9foHwv8uxRuM{HQR|A{8CgZ#*S(KAnj=aIkUR+D2tFHooX zD1kD!dV6#+TgW_6Qj)#YVKjOK&^;C|uL6o~`G8+pjinVvTL*1bz+%#s`$xY+0{HVK z=k01YHadN(_XNgu=xTWtd`uR7lspAMHx25ua7Y*k7yMAGs`jLd!a+Y*^V2tASl-=P@3sDTlftTS%q>dd?{45!QbC_4tMv+0$> z!hj&Aj_t#F)9bFF&~9@wGd5Lh;8vft%F!*-Zh2aEEgPJ)vFr`_VtVTBBD$p$D`5&E zbFyWPPbKLij?a$aT+OF}sU}v;S^Q)W&SLcY&{k|S-q`2KqG$8pzcbMCGW6jW8vYIo zN(=gverBJOBS}Sr8S%g|D)QT2$4$*g_!oz9DYR<>EI@MldHZPVBxOrmg`()Z0Sx&9 zuVHi5GOQ5p=V9}*6%?vfv*N>NM!uhs0IfSzQ&hzRz-8KrvNHWmJVBxy$ z9ca#($&r>w%H%FDu+P&;j5`;LX-fb?h`a^X@bz5)j9DozVFDFpt@$e{POUXl3W)pK zBpG|7m#M4N>&M^@6*?_`1WKPg!5zZhToUY@Pp2PSm|F|Ju!kodYA1B9{EV%43)e*86rCH zc$TEw*Brh4s0ZyySaiC<=u)jXxCwXa;g9|?siNjtfHLp+LFlqtPcbi3&~`BP8K5B| z;7OlSkqVGj&$P9X1g6bmYms|0g8L)nED?a(gyE zqYa9O&{x&U7ZPRcCH5LhTL6BAXN6_LgWI&?R(8Pu2;Q?;>A(;+0wT$(=Q*iBmy#=K zu@*wgTO?qfhVT=Rrn<(Gw|mbS#{q!fWDrnYhx^}91h%-cD!hn{0r@OKdIaqDjleeH z%y?Ns(3GF*{Qf>|W_u`+tEa1ZyEo;vjLUqE&st7+-JNIe6DQsa>gfhyms-!Q-Q1bT zhAA$Q`Z(3OL^uOCUKIP`$ouySzt&mu8pmK^z_6Ib3s&k zPG+F#RTuiRQ)OkTs()_TA_b!|aZkcjIoyr6C2mc?ctj{5We|0%h?Y`B+*S6#bw(0` zo!@X#yg4k~AO2N!vN)qn)Xx@9b%JwYlEuRwyHDi0ijt>XJ z64pl0V5&zD=v;!$o>d8bP4eIv#7PEUd)H_^TXzJk1i*Ts3rAiXk0d9X@aJ*bp@|!& zDx^GXB*w?H!>;cAf^7!~MNgQlnaQp<(s9HT93nHmm%i-m(pWYew`TCY_-#g4JF~D^ zp>zX5{ZvG3G}pL`fm@+&=ZDZnubMA{L^Is)oC#j-X(z=7N|Tku2jMqCgaTkk4b*r> z@_%h)g9XG#eb=!fJghOiP0|uF4bah0pxh`cfcFH(nWK7;_wsrt6@Vmx#E#}oSyf}R z?_20m8~=j7o{zSv$e9P_F-4+x3jIAuzh*OM!TaCcylbMhVPDbFEkfP^DChaB%3Bgq|qQt_O>3s&?IK;v-83Mq4G^craMG8>tg&c_)rShw&d#LR$e zB;;9)76wJ|V%?yUD^($!p^uR46PQ>k=2xHMSC9R#pscJi$29SgaDuLuj??IYXRA zX&I=S#U?0UA0vv-_@1_84cb^qgCajo?3n8#2)|q4!q=P*`};0%FC1J$@autz^~-uHS`_D_3I$a; z*mwI5>KWNT%2D9qe2gdnn6U0*+$K2(WP*2vY5h%{6frnl?TQM z^n(2%#%@rL?~iLx%=FZ{Fp%laUi+I1Xk9kdK_%Y?Why5DGus?YJM-Lz4^sw}0OT5F zsrCaJz=D4tmPU7y=o2C4Oqd*BQmk?fJ;T~kJK7`sJGcfM#)`#eY*xTU0{|BBA%=Y# z&?#yIrE({QhKGpoyph|nLYy_J<>zvneBu+g!GUV!x!!sx%Qr0Tk#Gpm66q$UaOHVl zRf!R5-IP#&6CJBw@lM>n2KMT~1NY|?ZovP@-^VKCK7*V8(04?-V&or9m-5Y0>jWb8 z3!tR0#TaR3^a;_Hp@k_R@emn~q{1R@T>@{=7do#r%8PP5jAcTWMzPyjNTFdRL$ez{ z)5IiPD<1rEMf`5N=T$e0Qz*2n#?~i0r2CmC4TUd1N&*g z#%FU0@zSBOkb3|V%Kua)I*`(w9>nvqVy62Bahl|cZcJ#Z14hW^cgwjU!3uKf2|tuH zcTbO_pE{u^)!MiEzehEKkLR>N7-|_zax=NLoOUYT3eGvj937y>PoI}%%g;2edH}$H zoxgex1t48f4HPu@LfOE&R>|4}^FxaQCJLW3J%r|TXC9{1J457Hliq@Way^3F>cfKJ z7H*4MI4He|HsVY{gC5sP=e4qQRxo~{W#l%tPq8ZjbQD3Qs+-XtLj1OXokZQHpld4t67Mlj=pLPb(dNspYRI_I~#`6GOVyZ3j>iA)Rq?ag?zSx!9x)juQwU zYcNV)b`$`dKM3<~>w~C>aK(@qL%_*8IO<=+7)U`}b%50nggHryfL<}GwXvLeGQanv z77YIoX&z!)vuhqPKK!QBVW=`!B5&vP=pgbF2RCr0-^ABfSpH$FM+BAxuw;??n-xD? zaOVPyk+6k*8~VGdFE10?= z)ehBPv6iegZp?f=|2)UAbZUrI5zG+%Hft^OOL4?D?r#=lnC0}#C$YqvH*5?wX{$=C znx;jkZb=v;J0H}~QiQ^BnmqfS@gQhI9Sr}PGF5bV*ye?iXl}wsJHb^1+3@>zwAUM( z2*+h1qC!5CR>v#%!IhiPymf0G%m!jwD@CKmRhLwSkL{~e8Tu4Kgq(G~DQctLr#Q@( z&YT`he9>!|(nVB7RnG6Ay?19o@<0DupMsEyl|UN5%gFD=KyBHT@q@3+%#E2fd3=Sc zcPvYOnua-eCj;hlT$~+uB1rW8kE(4sp5HI&sLVLXqKfQ$t3T;N=&ceq&WxlwwuE7E*4M~1)e7OGk5f5> z=05=}QW7a}dDMyF(;a33B z^W~;6APSskVq*?WK_iV`Ibs`(;mG+~h%1E~kivIoel`4lP*ycCH1u}0t0O$4gUBR( zGz`rE_L;Kd3lifAn7#tY6V9>Ti-MW`Jruin1JPmhw?hQXoNGC<^Rkz;P(B8*5)Drg z*uVhG%Q?#&V%Z#v0x&8NlS#?N;o@#nCKoAs{IL)4pFsw;%eiMavPG)STfI|PXi&E9 zYI`xX0`73VAvFrtyCGRA5V2h^s{XNY_d?)rqXHSl%k3*ECflRUN?M->5=%y9WsU#<**V}v&}of&}L0JJ5r*nHmDVANOgfD?0mOVsV& zS^SE*Pt*sEhvjxcqN`$@E|^+D$R1D`r`kI|g=A?1BBlB0(-}b>@xi+~aEH?KbsinB z(LH|r3OX=3)0sASF(?!BIuz^fvdLV$nxz?b1H_hZWeBitTJJ_O8eg95W&f+WbOu-mIJBU?`dq`e!9P zwvY$gKV=A*W*jp$XqrFA6Hk$Y4q1d?C1{`@Jg+7ThYfrb#r5cz`juzfU2&b!8JH$KIz0U})%TNG(E&r@4n)e0pALdaV4BO$E zaCH7dthlStyu_+G<-pUEr&+v*);kk=dHxpuURAI^j-buYeY~`r+S)AlsXxp7KUT3X z`wn?Jq84*@ZCo0tXXd8X8%;-`wEuqD50;V-tGrmzRvMuybY5XGnJw1*nAIHfY~A^j zr<|Nz7rJ~5@tS1HX{Nptn3{LK=&lkjPW< z&A)rU$uQG*)b8f%s0%$b%lb1N{5v7e=P+atDYh|4)b9j+~@Yl>2OawGu3bq9+;%-Tn~HiWoXBbLcdqp9mY*Rc%K>-Z`Snm zIsVA@^KUCps*foRJNY~>P6uNJ&VL#jLKtxCk4%D#wj)PCd#)<_Cu`NrU@$M&>a+wc0GHOapf=-lo> zQo2u;H%B@0u$2lQ72J35(%JPaTCtFtdJnmu5jMG6W6&kx{jTz5P4Ds`dxw>V35OTj zj{!6N_te7P`tZ1FW)h{}GG3>3Kg*EDm-uw)oni+5jX7a8`ZAg64fTXZl}Wh^-%3DQ*C$rwiE zIDzSm<1C8whPM-S9Ye?E9yj%TxK5!TctOV~W$WS(< zw1KF_h2J^1U}O$*Hmgvu&m8fe%bfu?Pk|pdwNSjlBY(!x5;u?ewW9eE)<;g>mR`xM zwao3A(!y^z%YocWUvt+yF1Hj;iL)Viyrl3Um4kF#)YyK8h>f~^!Rn=f$ZyyPa%%MI zF3_CJ-0@D(P!BhWF6R!~h|?cZD$soH+|dPq!vu>$F4G21*Y9~i=YMv`*rAK-Lr!w7 z&&MAN6vFw7vNfn65{0#^q9@Nht~K;*ek|~JjJSo7taim8QgIAccz{c%68~Hw}kb{dl>e#P^rurl{x7;C;OTJq?db9zvJYV+foJ zdJ4!Ga6FO6S+qn&!?|NnR$EJ*m-C*cX6+-uwz$9AA&GAOKA2pv2X4jVP;e_Md5=?C zv}z>6^QZrKd_m`Rf+zIvQV0VLzn9jvT(?T5M z*_>BJ{2>k5S{qL{R>9YwB%Ai5L8Y!nh|?#GXLmeWq~xKz+M8H{#%{!)6W!_nSxOhV z-?$If3ggove%K{5R@#t$+U^Cg0t5iN23djWiVJMZ4xy(@@eY%==>e@*@n zacblwop~v)=W^YifN>>j(aGRGhOSd5l$WDCK$_cY<5gH+dKGT~y?6@LOXs~t_*T9K zM@WG7-1h7(T{QCKvFEjhzndS?pB))+#%tzogIAOCEH?)HSE82>M*3 ziX%8SJztxY^G4tJqjWodA|hD&Kamd!v?qyiBQvz+4f5{&7LC&fTLHzxm~?VXsK@o8 zC%9&_j^YJc(VPm}s3anZ#dn1o|r)ao;&zy5b1HL$!`9n2MTcD+f`Ef!TtgY1!ilwX}r+Pl=4YD#str* zyWJ1Bo!8FE&3tmA~715sS{?q58~fcD(P7 z*A^Kd+3C8MiXyl?8(~9u^SCtcL0(l$+IK#hU3U|to%oIYf|AUhHc&bjuu*&4)=n>; z%8qSW%}8I}+Md~DQp{bcZ*aRAOt)Csdr9w8r;Pydp_A-yn&(H$&})}Rm*>7$0~5W# zV8AoY%Q4>$`V&UqrI4i4xL&h~3Y7ekLiaS4EcYGv321T)3yuxZT^ofNfWS zF>8L)fQSuevKM;!^2=si$+z*?5wng9mrw9m)JT$_)t%>GKZBn;S4XLUQziVFE7uK8 z@fvSCX~LWG^Ywd4Kd%SDIqr4*AisZ1o_K0dy|? z#o{#2K*9xef(5##PC*-O1$#UsNp|fPU(ffIbgKq4rWy|g4RzKW$3vyC2aLtb16cJ* zZG`LbHo?rOA=5-MJsU3l<`L!L^OV%3QRk4-uQ+sMt#dAI^ylMTuCAWPDQ9ht#r|5} zr6exQh4n=4&IMXa0)6QWgc6Ye7 zG`-Z+5i>BoT`@S{yU64`JvF1kYg>cTqwF&B%jSEPe#J5t)zzOD+0G{mN(CbNqcUmL zzwII`kW+NBGn0RJ<~33=)u-Y$W2iyphz;ZY&Z8b@J?F3+hNa#5ulvLcL=wo{)PAYl z@KRaC6dV0fypc)jb!gMt)8O&9F6kjp72X4|D&ugiSc;Zd#ylZx7(>Sir4&>=e<^k6 z)#FqH;@#gH*Kf{ z*`@2I3YpY-?YOp08qzKf`x??+z2aq*QeLr*W6&+CtHIy2~bmwxwcMq|>5J(?sMw#lh zd*^cc^00ZQamza*+v+&t5_$O@0Vr*c@Y_?z7a9cw2RwXY#4y=<$cDH0o($l|e^c`@ z9(dY(n` zcm=QG$wq`9&>2A}z7+;jIA{Dns=hlK?ydVfgoKa~-4G=RqPHM~=s^%}^cF43=%V-D zqm!tK61i%O-g_^jMDKOTxv8{ zHH`OgkOb9moZQ~T`)Go^{V2{S%^)g|t7ySM_pd_UlTf;-?z(I72gG~mx2LdXxk2l< zhn;`+>8BY7EOZqFoZ+7E(-J^fTa(Np+?|oH#=YpD?pV;s~FC1M28LtdS zy1bTE2vD$v-r903zXeVkM9kgZmI{)GQxYR+szqKWl zD^uAirpA7~3L6@O^=aYnN-WH&`3>P?*t4xwY@Tmj*NnGR`^oCjr;C6D*AQ41XFMZPVy#v(=h#n)ECw#l6D5<~p(0rxzl^NNI9u`XF zLD?83+(OG_f}%6KWID98ivr^pPlO0+fP!>unJ&QCneuy?CeCgHV|OpfJaTSYnxpv7 zh8u~vDTZ?Re7^mvl)pWQV^3XdjaGas|9NHyZf(sU_tH{6yN|mtJ~ix-M~MpI6*{mV0l+i!8adPR$I)9!ts&q)=9c6to*^f=7c^x65P zntcclgUo-GaIRo9pv^b%FHNI5JTB(eBbN=s@>Um{W2r^HB3l`GyiSb=TH%i`4qQVd zq6SGlPCU9Z&9FS9yp{;hslqcCOA+!w`?Xwq_j=W4?_gofM_O~uRbrH^;@%JiA9Z~w z((os~pV??C?>_z50}RCl?G-jFDA^IZn_bh+PP~{XjRN|Q-sFwCkJ0B_&thz^9B=Bz zpB8I*T^e_M(zGI4v{y}iLm+tnVmT|-f*9|wQN>SI@oO9O2s4$Kq=$1BQ}^Ti{LPzx zqLwuDswy}d5;UQIYb)gAn#|U0)f#N~B^^+DBCfv-CQ-iC85vZdGX!_z)hR9_6r#2q zGu;cy5- zYX|PjXjX1gVL3tGk&pNb|1>sD`R%A#Tb_WOtF=j?UKm?VU!h&!wOY$3Wjb3Swx{|8 zE(E^$9rJUFRgT@RH;&)I@w$xX&Fk_%2kx?e8kLwW60t#p@9}HoBKG5N&{Q2<@9*H9 z+c*M9M2NQPX3ggMnK;&Unm1y8ad)HCc#hOG)Zj6rhD z(F8CRAfI*2m(3*g`^m^qn-#D(M~(c@7)9jg1u4)y8`nj_-PsDtDHY_yv`St@j8ATv zM!LcwW$B?`#!bpmanV;h@ltCLtwhz{QrYIGHnLAMcn>#nsZ5Mq+*E9ZS#(RatOUQR zZ?!a?iMNxh7P^QqyL_rzDfP#^KjOFN`O+kYk95s;Hnp(}@#cZROE%XR%x3Wh%4NbY zb?iTBc`Zt%DSU?7Y-4Qp8Xh^0ALKb`yl2aJrN7T1l6H6@D!3RY!}HmcxHnT1o|8um zSF{)LY{<6MMps$__bNUQ%X1{(rK0&}LF||xN|ym{Bw&Aj-Obp!2o&7j7?S zYL8ucI(p6P*G|)g3d2+!c-ioMSFXLH#30`u zQl=-yM>_RekNAL|naoA8D~*U(E-pYsOEXi0TU)KnyzA$q81aH)BQh6`esVnym5mzr z<-_qvE@9!mpA-rl2jtn<0QLc!j-qv!Y3al%ES|s!7g_gRIcP8`!i`qNT8+AXL$7|L z>O3^1SJjS7JR~yH{YQ9ma4^niCHaW*eCetI&jwZtuifP*chVIeAUybkyeNm|XX@2> zlPwbJsm^0fCJhT2j&i1BVuL(9oV$k1+Yij!jr9yl`jE*?wwPHpqepQ~CT+R2%MIa1 zJv{(_EEl=)-K#arGEq>@r@(oFLfyYyYIKX5zgqbMIu1>>Wp^sPlZ#81`MKrm>+$h~ z8PG8we1d86{LYOF^IpYCmj};Lrt?DSc4UH?4V|yee%8_kSZU!7hq=lvIJ$@3i9F9q zcT9TR66tP>=>0m9)D8A~28cM;yD(K$QbH^GL=7=wzr65Vw0G!T&1_3rD#u)c$BlbD zDUK^o^AIDiAaxj~OIFjz*DG{9;7Ur7Zs_ z);RjsxOMPKRcCOol6csf@e=*wSCGNn;gfzhy%S3#0QVKevJhxfAwn25mk zY#s4yN_s>4ZtAevx{v0e;1?1yLc%~1q1G==&g|<39NE^qouy&*c5jtget?-`Qb3IF zgc+(p=4Sa&ysYHCV=o>xJcN!KI=kzux6QK~XlA5WvkS%{ePU<25WKYzIb2wF{Yd-0U!_!jIJK>cHG5gS}WodRZMk$h?NNje194$wybrgCDk}(ci&A#x>LJ?ioQGF7*(Fw2pTOBt6JCX5S6goE1EGD2GWvx z8BA3#c6Lz3I-YAFNpleq=I1(nz%g!Om9ZEwl_UkP>~2r}6e1qQ>%>JYt~1Mf82-7r z`ttl@I+XCih|ge>$FJ#SQ!2{?03B`HFr2DzejVqP<9XYf1e=nnkG2!7;X*fygMKf2 zRy>uIDV2T41Q*#Cnq+z~J|G&DPs-vYqbiQ6F5=%V5b9z0oQZ{IbT{6O^Y0WxUqp z@SRl-;7+6#O+#uoUIYZ+mv<|H@9cch+eU8FBPtuc+qw&8PW5Uw^j>-EDARx?!_x~H zo?zV9Ri@paMRN5*9_0$6vrD2q^gu=uB=c2P0P<4ar*HoV(j#EW8qhNvFc%7kfA6~H@i2J zOkS6t1^~dqhzz3^)s9wWlNz;rZ(M^7M^=@NEH4X5?1CV;k~B~m;$d@^R@48YmYoW> z6WB_EbfY-#@KofV0^;&Y%fw|=pFeTSF~~X1S={z!9JJL>d`#i#2mIF^^Ao3t>stlt z8Zgdb(ViN4Z%65#&RM=#roQy|_QChdxSGuH%tv~TyQbBxDO5j)UI?p)&W`u*I6^>j zmt%@F#K`5-mwI~1hHlp?4_5Uw1k+JfecaOk4TN5E*ySha=G4}3TEQP zGL5JVcBt2p@jzBq1cGp!epIXXlV)ib#M&nJ=qV{NC=Eh%2n~H>J~!eT?`N>2a);tz zUzAEr2U&OtxIoxL8^QVViOL=H`6OI7(2|u8c+B&TU(`TJPXSm8z_o+Al{0$8 zf${)SR%{m1qs689{w>L9jTyly!F6I5c+3$?76& zUCxSdRf~Iet+nknTCeq+WZrg=2OPF1dsM}Q zf-vS{7AO67gt?1L`nY+JYZ|`hD9753>p-ik9!eO8c7p2J<#)WwiFw7pwGouwvmaCV zb;I-2z@iA{3KE0VtxSoeCeF+$PLeYKIK@`$wl%XCVE#$benMmDEd<`FIml(GtTd{) z|JX50K=-$>VE5NP`A4}7b}N}4BvQT0tr4KCs*yj{=kABb!-x`|?$ev(V4+us4Qdjb z2Yg89^SD`LW(*J0TjHS#I5NsGS=3qS&1^>sFLh;Ej%t0eNmw-28-{=pB%6q0??ct@ z6kp-mr^#;-i^iI?f!QE*8r)Q+e+( zV`-SHmmSyhyhJ4`_*run`G`sR^8li)7U@}w?0`5|Dc9ZWR}O7Tq{Qj>m%U!E$UiF$ z+w*klG1hy07OO1Ugw%;y;>{NnU@r1-a*}4BTK_>%!N_2@{`fRj;1Do}7{1fygU=Q6 zXW6ml36Em$=-04%km49=tg(qLBo<12C!=r9`$eN`?M~Aj76fw|XMDggfBB)SiWD$n z`!{EZ`@$kR4ewnh$`-~CxNm3vk=2hykqZBJ=9kWT!K3{z^1h4-SK=oe=6`}JI#4vO z+S}Vh&R;p-Jn=p*zE&+8yKMD7#XAeW*{8PO8e?m?+OgrGe8ko9OM~?k++x(#-HpAV z^HW9cdP@HSI@91u;d6W6-zxm7TJ*jE8Zu@6@|pL!(#=N3REZ~XHM28?-U=T=wbqVs zh^M6XXWIId{N?Bt*`Z4PaGK|{M_%bc!HCIh^0mpmWYc4Wct zd=R6DLd#zOdEky;NcZVSIK&7So{I^lhuX|=n29sX_l$GnK!zk$<9qB4a~ zVfO#luAnauBmeq$^3kB%`B>}x&pN}}y#wmf71#CH{JHjJ(#@)OcXKny-OJJ+rM>E_ zuPQBV)xX*DPP+|)svMuc*e->S%{Mx3{d2_xdoYRsK_}C~5>R?ub`su~OTWPqj!H9V zyLNKRTCWeC@FY%J78-C#3kps`*u{PDEXQXiFW_zjl)upTn~tK1{DD$vwq~4q51->` zqMaz>n$2$UGS$R31L2rltLMlza5yB|z@vc^v(R=^XYXgM2N+NT-cJf||FFw`K05|) zDbL?W8YYfzUGDM3Tq>>)F-h>L8B6uD=5yVXmf){!iUZ7Ef#p|IHf5T#q{ec8?t9EL zo&=|{KStk@@_|1@Z`&xs;5Uv230p3Xx(|3PPSRZds>tD*v50%Lpm;>97)Iob2KmeS zRuUL<=y#?hcj}=c056)*jKWay5v~k2o50ard5A3do>Ao&L&W}!5sUtce#J#ijVEQSahi+}ZM>eD_hUDEOl!kV^m*BZGG_SPz5Xj}o_Sa-hLp3-X|W z$uzrzXrsZgW4o<0z zK}>MxXQ&-+)G~rW3eN<%6bQ8aQbYS6Qepg9KrA7S1wL4-UK{9sBDujlee^2(gKB~6 z!Hjz3cZ=CGRCXJ3=23_m#kuV3X~;*-+sa$RwQbdI*56_GHUpt~@e*{(#T^f*UCJF= z|7n5NT^wqT&qgUh1FdTP4}Z9fsZ3PwHVBOX5LoUt?1CSl$#J)M@q+i6{xvB;q`mxa zYhD$%=*9Kb#ijerTw`a(g@gC!MO&9ecSl_$PUAk#CG=*hu>;&c!!fdlYAo1j^1N`@F+L zY6PJ6s2`vD(I1W(x+vE-u$%}d!I7GD{S|!lF%HjAgc)_8*w<2YE;CH;H?2aI`5rLa zp`Qzufvdn}38LzLv#UQzqO>2YsF-MsZxSHf_MxcJ-o^;kp?}l*NMkkzt0(9QQtEcwIB0pDF>asukI> zIFMI->`iVRLC@jy-D}$fSiz_nQ29(JkMgNf!sU|3INzWzHPJ=BTGN!!tDuBGceDHD z@6i#Wb)!%q(+0zZ~CUBDDc%)Xs znFv!B7VLRLmyzN6>$u0|t3sgN1nbh8LZ)ufx$aa`_Y8J;X~CkgGS_Y(?ggy^^b4y+ z$JKthPDzrWcY5ya@T|hmev)NIq`XklxVi+jwm)d>e&mB3Z;3;nN9x&I300PVD|)B` z?xDKF%l@f5CM~cdg+@JBOboGJre>b#hMmHVmi8D(99Z^-d_B z59c#rGKVm(oy7X=%}~&(kD-w8K>PwJK`nR>40pAScVSBhPE>t zy!BOGwsO&~=oiY|CdEFDp6-bC&0nN-z9lVp7?Bs7tSUfxE!mk0>7womw3@AVqM=Y1 z*(FgbC*^G?mG#qWo>|%%#f(_!3!`>i*8le1)3@(+PW6iv|GRdUG40AG=U@B*;1L)o zBnUdam2T6#_l?iM*e|nlw4!gEAh>nzW zDbuA+HPIQ+9yF}sb&HFOu?1!uxwQVqtCFOCX$F$Y%m62)o};1(pkcYqSeD;Zqe~?R zEFHGx)?s^A(`t0CU6)K{D^8IGGscBBwn`YzYDe{P`dxE4Bf~ez zkI=L6XCS$N%;egYA=Q~qkN5cG-o?N7+2s#p^JSG?`t}e3OP~~7Gtj92fN_Q6uw#b` zOV^_hDcgLIX)i>`ihF@psUApSi}{?H7W>LE@#SmEGvTULO8F=}?v|z<$^BQ|&Aj^j zuCq@V0~#cC9Q1SkOsO+-u8thONKw>t-}A%M`<20$p&8yyd)EsgrukJVdaP$3_@(4z zMI9f%5_i!^z3UZI2^26@^$9-spm2}>J>vPe)@n{290^ae=02iYfBZ{;Zq`L_(X!TnPR^h4kONyHL*Q@%5`aaonbXB0wIF0_GeY+H zBk}DlDTL~z2pvk{rK)3Ix+kLF+M3Ulm*_9sJhIFH=8IXo2(Cl}j+GOqo&lz{NxOkL zfhBNw&1*RsK<<0|8aGNG#~r?7lQ80WEj+Wb*7xD+z}_q5>N^aYlUpf!tye)`q9po=ljOX+m)-o2Sl|cJVn?o0V`>av=92G=<=^#ONh6xU!^0C4 z5&2OBEhtxC8`N!w-(14In|a(tHCNbFuui18ls@zPLZ2sPW)3YEI|Z9{E6#<&}Rm95;s)Saw6(H-H{n5kd5h_w@4 zNpTJ~gLbn74i|l0{Y84XxY@u2?Kf9*s43XbF`mFNOIS75i<1-qCmPlPEW}mKNAL^L zd$|(UX-BkgdBhrICldF}UlZJSY2o7x%wLYMjwBRu6<+SPQ_N4x@^GdsMt118s}{Rn zQ|67<*T0G=uB+rX_tNHfyDCNSw4o}~BpUPh9RE^QyIrqDMc6x_`xdhdCdJGv^o82H zdy)1&%@<5h+9La2VD^h-c*4|%$loV(EaLoR>SD9klF5ymQ)Kl<^{H(m{GgyF znwILEYDB7?)wy%HEE&%R^|zLUCN!I9oaE=g8qlR&E*!+ySp)8L!98TO+FGmsex=*d z(w!VO*U@1n3A=XB^6tx=_+m%JqGe;X!|8d^r~0!pg=)etyIkyJv&v1N_yx}MSU_L# zI9Nmj5M)3%)i0C(B~#%H<}_Uw4lvIC8HhDWX~n;N*Jp+GF+|EFq^41-tB5+TZ7y)` z)gPsJN=$%t<(Y!naz}ks9gp7yz#P0I!A%X;qZ~3j=~>$iYVPJl$in`jE2g;XQsD` zbq`HZEt7)tRMMw<=pk@In!;iDPx;9`2+#F`ld#gxcOjIKx=nf{=aRO73sKt|YlkuLE7fl|sYfUM_q)MNW7uEO5L@r=Cmau9y+^omj z6fJ#!5n6f9{qJMS|H|H5`ER?ttO}l6zVa0L-vim{NYjn&k<=H~rlx-gt*w%-yh>0I zm(%cPZiYaT+vVQP#m#4YbSRs7@}UC=!?d)qiKEv|pCavE#R?P>dX+q8YpeCH;+_?5 z;XM=F+Ey2~ve|f(%V&}I_0`*E0>Y&*#TKxso_suQkRdp~oi&DFOpruZHT|K^le-MzN z4{3!6dk+NS14xpKq(>S}L`8hW;#qjIooF46VLIv7-FYKZG6z$BlZFC8VYVi%GCo|l z#lVl>lQ55pweI#QtN{w4pd8n2*Xc|07zB(rn`%6AcOU&=GoVrK_<$ea8^y)Bjrl%O8f(3iN_NG8lT9#LHNtIC znhQky2jFjiCInnt-k90N$-htU<7IQ)YRB^RZ&Kl;Kl2SLaSGuTY9p#Gb(-dm*@I$mHuf`<3#l(@2vv&26=NSI(~C=3l{2L z-@af}7|B?QXb{o){0_{gcs6)gcSFbIVK9aV7#n$FYeVL;de6^8y$cC1>n1D;b2RxH z<8Mbxc^hFSOf##mh=+Cy1_kZ*L!%3_zQK~n_8N+!FbBa@lKA6%=eu?NPwwznC&USS z`$^oJBW|v+a6x7?uJBiDQ|M$(McI_CO|c9F6Y%c?UG42U>?>_CZ~$^_z?@SYN&Wv&vIi3z~f1w?WWO~sAP1hV?il=%$f#VkMFQk6SN(}HcSE>dz zp}==S$Ive)&t|CFiE@@))D9L|4F3w#ict;Q@p`j>6FbP5Pvi;j2V?SA(ucLnWaTx_ zfM7zWmEVvv9K3_ zT>^MeK|9&Lr>rid?1f}QXQt&0O6?|<9aO;82%NjfCm{+&ZfZZ!9401!}GqFVMg0tyWO|pj9Ga=x72mdUgoljfTbsd6U&B zvTY|9#a}18kgmC^k~rO37+yh4z6`Kb1Ro@{>^erWM4C8e$U+$Q>%v8y^2K}j03g8R(2d&~Fon4G!GeN=$>q#@v`UyPg3RAgo`D)T zPk6b%;WtueAk4}fmfREvm;$$a@!oLg)*9t`Y*XC(a!r28SK&_&S2m*>CzD0HGqt5BTe}me zhYANTggO34M1qS#`F%4d?x|v3JVw!<60|gVZ|sHr+1cvLHdQB<|DM2%aoBenPs1B0 zJT*=Us#yCNVs2D)LW%r#3<639mBd%%ED3ym`PBf;w>-o|zXz)LGy{ma4qar)Y9@e= zjkN8Y<9WrZFoNzcYn#qf0Yvv85sU)q9RFrK*1EAG_aG zS}KO^ih4Fk(hQEh8x1olde>0^Q4bPMA$ni_5lU8!aQ%zKNxA0Z-|E=4ww}v!U^FHI z&=f#b*BiH+62*UYK_5K>a3OFHm=t1rMoA3;NlUHJhFpke>Af#0#(p;TI;N@prZ$ww zeNH3Ta~Fmf!i`?($LFB=!YX<0l*+-WL-7?x&@k)jAdZ}4`WV9>A8DA*C+Q2{DGa!O z;m<+=_j3A`okt8*)tc3=seSS=@yDkGSr4TO_XC>9m?#t|&%q*3bPYeka7N9zdOKBt ziu*nCS)>Pm+M|QA?S7>rf0Dw4!d#tVd8j1cZ0Ovi6JexxnvX5G640_b79IrjuEdMu zV^EEe0kuhkt8)lrHP<~x7VV`$VnK9l1t5)&gZ&HU7&X@ag>io+Fvz=7x?Ixg}Ezj}IVK;knl5wUf zl1EC5?)+VcnxXIWbaDShg0G$PxM_e%ulhIf54#dhWhU7&hl<_L%SngHqBDC&g%>n* z1sXDysiDXELGhld#&YYmKcahKz>M-?@%nnfZ)-BtO}#cufPxNOKLF=KwXt&a z9y4aTv(puBX#p*q!egFpKlLx32dS-BXJt(qr1K6Pi2k%j#e(~TES1Qw>mKPFb<*bj zV7^7xnf#6lk-%=@8+l8YQKv$gPJ&B-Xu7U@$Z11VWz%&^^?%h#bMg-bfz}eJs^T=e zg`rq?qkuT+RY-{Vcvn>(v6lAckJbIM8ZPeD=0d6r;q($Fi25BQL#tj$MUWT4VWB%6 zIH&>;x^<-N{OJlt8K!Z5Fcl^frswT6j_tU#AG~vA7UW@a%46(=BKg`KSNKp?r6`@{ z5uiQY&i+xrtL=})tUWwY8+~@2c3}kix=+f0#VdFZT95*BY>#d=(Uot?SU4^V@~An( z0x5G;#DhgAhlu-!!*FDKE;(;%7*Oh2VT$R{HFq zWpa8tu)t8_HHcFcN3ZW<*{d4EY`213P^0$QsC)XET{^>NufwmlN&K2 z(4G0iFN;LixUDm*?Rze1^R-MmdKU%uh~#5XozQDpX z3c!*)U)8rGjLu7xMr!V5x~_&v`|G`)t#WX1M@d;DR;li|FMrv1YVeYyTV0v87xvwp z&HuN_s;EfMxX}9n(m4{>Qm@Yguv0umoJXb%z8nCpA$zmb#Hg|JGURTQ$z;vVp1TH4 zu4d%E@OdaaD~kaj8{$!%(O|ehT2ReEIN`~v^L}WeH?!K83q#DRP(VrGv0jh2P=+J9Fn#y6micg-*y5@Qb>_z&<*jEXNa0?pSTSpPsGCuC=zs zROJj7hwxX+#Qui=rlJ&31^NY&NqGx3Yo``7C)jOkDWcXeQP$4w;kT#$_@ePx-9IAy zg=P^nm=coPYm)v9Mb9rLxmfz_0*Hv`i(Cuc0nY{b;RzYJ&^w1UQY;c`&xNr|O#pbl9Ury#h=cd* zWnDFLJoFd{Z}F(o4mXgo(ol3I!@}>XzyKkxL=YHj^1VwAh;l!8v#k2pi%e&c72*QZ z2RNunjFU`yKj~Ei_AA@Akwufwq7cG3<}Mzcz@`#Hfw_xkbFl?=svhKfLkK$U+t&Rd z34d^I=VVRvh>{NBRL$tEw{C1uUbqZ45E==6^Kw&4SVU`B9=*fS<+}^Ug6n>3E>4Ad z39Hz8Ngo9Y*F84MhH={__YE@;!U?CW08cUzx)mF+c%&x)Mqy*pcJ>ZxOn`w!YpJPv zx)9Tf%{2#H1W5bcn$HTF8aE%;m-tYba({g?HERUjN=IUKSrZ5~?UK(v7`T%amTrtp z07D2KtwBDutpMAXJ{FAp8D}MeGlFoM2Rdl?Xx~Us7d{+Ya(WTJ>9s;Rc3sb)Gx0DkK~Tms93XhS_U&1dk9f8_eL5XN!DHnAaWU5b;UHR&^Z(tpd<%0|HP+ zh8)f)C`Z1n$=jM2YCzX&r*T%UJL5)VA9cp7=JAukZ!#$lz*_ye#FL2>iDQVqo(n73#Fh=M(jKiMY9d zTS+mxD~lImwot+b9Pey zc-lXjQAQ9CFA0lw0wN7GesqzZ!ve1??V@^Z`RdIavPScQv9~3B4{YftE^9l|@*oAl+1q@;u-0?dx^- zGP$^<2N5hjZQo_|n5n4Q&rC&yfet@c*{z(SMP)2`L`q_W3DnL5b1CI=VCe;pDDY~R z2@rA-F26)+LhqvM+dDJTKCD;uz{T(lM#yL5^Y+;CvT%(ZHtR((eQJ;XG5ST7tLW#< zqr^h7DmSH(_{gBrr9__^HC7~vQD4%S4k};z*33ebLTvoMzC+&tb=eJz|Kw586xZgZ zw{~mimPINIH17+W8>{Qv%Qr4>74+UG@M}%4jU=zo+w^&++S*!rS=i9lOuah_Cw)UH zsh8am?yxlc_0&C~_9TL*vvSOqyI7~M_qkSf0kOs#Bkw1Vf$SA%MY*VkCtjQi!rH3ij#=c%IQ2+Xk*of$;nII`G#j{FHg_lnk#72Heu<)w?; zsJTr{52tVB^k{`I7F;D87S7t*?;clNmTyfNnrr))u)oB>kU@quA*=Wl0d@aA?C+m? z?)RHik)qW8$jN5EP8o8$1t7mYZTOJL_d7q0q_n{4p)|Dpr0Izb<+*YBG#lqv)%Zws zsNk1GCaV%M4>$lwc;Jw9D#Q_?v%WU;;FXv%5cM zL}~KOQTEsk*bhq`e=XmIvod;)8P|Q`pW5xfKrYm^&L|>B;b!Nowo^ z{m)t3n%tkd^&gegOf&ZXEggT09_QZqnfCz7hDR;3(s*TaGd=G1kQM`=)u@J$4NsG* z=Si2s{GpBML`+sLzz5DoA45nKE(cVO7!AhLq+Jf|0|JL<>jOUi=It=E17TkxMdQ&a z7?0PG`2-5{uKwXRxQOy}JK`x7bp_?y2cY=*-kcbzSTEIdq#zK#8q;Dsn&rs)0Y(p~ z#sZ6tcJ}#M^p4k}2i-l1CPVnA1k9M*eeF)Z(qn6p%Y zf3#eQny_|*|1Jz)Cc~qnqB6$4hgR-b`vmNM%SlkPH^l$?JwQGa^-6fdPMAfx!Gn3PUQo-+gTx5;-`<_Y!m?DM@!@!#jaU&|Xx1$>) zPW=%cHb$1GRmwyJvM)MfWn|=I2f5$e#Vz6&C#so!3|QxUHlY}x?MtkNK7z=(iY2vQ@T>iAYBW-dR!v<9iZ7%te&kS0IO1JHGhde{#~L4>K)ms#bv zS-6ESB!@!}>L*Oot8ou|i|O!>o<`MKc7-SAIZ9zGiR+mUPe_y}3dHmFL`#d551Va; zkzBQzx|0EyF(acOa1Mkdvpxrw`9deoTib%Ta?LDv{lv~2kUU|)hM|%fPmAl>B(+4- z7YO|sFKv#hSEEP_WO8DbFnUhF zjX8atHT=d{?M|E2^G@7kw-L?XAz?;Be=EtSCx&;gOwJE&qao zs7OR^3IpUn?7;glE~6j?GyTA^zqdYg%f1_4C3_i(E;|h&ac!NgpF7`Dky{#M1PX6$ z^u0``DJ5|ynZ)}Scb5ipRo#f)Re;MqcCZtPp{3m;{a6O<;>AU=py42?MafOE&9>D- zv7>58q!-ly#D)sQec&KGPCT1wuqUVln?*S&sHi^n!S2BcBQDV7YJYqOM<}^emnzk< zF|q99Qz{j4jz{Z^*O3PTrgrS6#Tk<9y>5y8rz$|mHvwsjxcE+(Fc15gTlT#`+XHTb zysL5XlurWMoB0y}3iO9APAZ^#0)xJ0Iq(up;4raBP1jgDMDz*~<)_*(v$d-B-SR#|fx5?>b_?+%cjpDLVTNTo_}B>Yv2r!!GIBqeZ^v^smA?szd#n zo=giv!3Jh*qCjwqLT%kh&WP?&0qVcE4wHrKk@%+cvb#M)6V7?4(5^Ij@|fyK@g~DQ za2JnNiDOL>U@Cqity+F^Oeai>KT&Lz{bv>0x5A_U2hEBYF*#QIN2FT!A=&Drv;W6G zn8p>t`x@ar^_L597sz|5zU@(%Tz7=-dqx?E*3rk;{zz)L-%;}{$c~Al?#G@hw9`WE zCFA;)_AAAthpwZBkmzB-d3mdDXy6`>lQg!rfAl1*8N~q7Nhr`6PvQnQ40if9bvCN0|nbV@*&n(#P~h>JdEzSwed=)Wyqo>@wc~ z&bcXF%JWHqJ4%tItmMduQT(Hc|1i6RdpNJgzL=SnB|D}AiRz|g2P;)l%;Wn6%Qs1!w4V1{CG8QWuy4!n?W(90Eb`$bjGc`~hHBLGD1I*kxFjhkL5C zY_Mr^R*IJO>u|*s9P=xHOtihi?mR81|45bXWivS z1tZL>jRei24yG1{o|1nigVnc2-G>x=MuPsFiC8j>~6%s-=9M z6LNQa9cDoUP<`MxXN8`w58Uw$&jg586)D$OxOu$Emvb^B(9F~*W9gt}TI$5TrND`> z3yc)wpuyF-+dpm98#$P*Bn7uKI zYKjBaZD1{;?0>Fh1=grzzH-ki!lJ(|wsbD45I-%5rpP{Oha($?tJxOxxr36-v3EzA_))l;XVAq`W(Y=R<(4chD%sz zV1ohe2EMmDq|}1bo~}7|rzkqHU=GJE6rO2$P>_N{Vqv2EUC230ugZec;ulM0&1+Dp z&9{q@{bHPNJb`(Y1w#YGqaouEIFA?^dLV8wQIec;ch{7=SfN#w(?-tQg$|pQ_aB!Q ztc?jQE(_fyaqR`*DqpcW#p%{{=$7r?Ezm3bLB;yTKbbho3V)zqs`e(2)_-hc z#jRIqA)SoH)>EF|jBcx6oMV6iXm28-ROfI5wgfD$(SE$x%suxaz>fSI5=H$=_gkbx zE#8QawsyA`lRgPsXQ>|objl_>_9+sf#C}d2Pfa^I1#7d&l(3v+uz||b?GZxirqG~l zptwj|L763q{K*AJwVbF;Sr=lpPToxz%Tda9Vl1G3+l%vzDfI;RdQdGvJPzv(V4{8C>MF8tM$&wPbvGmuEN z7xoVK(#L>;2qGn!wNqAXMr8;I& zPbg*Xk695E6Ygium&avx7nB|DXk!xzxoYgu)x zm%ISNy*IR7^5yp5gbZA~g>o!;M_k25o+nF>bWq)*646ZfeWgLJMSx$eoyNv;7H;4W z)a5-Q%*Y%*a^Dq311v{0M!s};QKy)4ImkkQ!Dv~uT3!z#B_c{FIV^Uqb3J~|F9Tox ztwn8Os}@>#>!HmE0IEIHn98EgRsp@8H-GD@)iQoDDR=i$vwNE!0SajTIW}pYsf01S0Mr-wfaC$rtqA_E#OLhouB}w&i+nA4DOs?lF?{Gryz3oxANuYe# zcq&l-hm`vKNJbPJ=xP7FAhnEiZ^}=3Uv0NXowjhDZir?MPaS(#o}8r_iVvtM$ps+_u{@e#mS5TB5G@@9_t{VA^0o3{?PSgo zK(k&e#5`hBZ>=$DA;IzJbZr*Rj%cuqW6AIikQHMCI?53`_LylQdEn6nnrb0%sw-B# z^?c2#`Tl(*ZG_HT)zLRA-H$G_>+o4KBKDVUDQZ~}tGm`wQe&LDW2Y+beupWG8W)p} zlm!iYi_`Qk38KLwKQ`KJ6OqdKg5Yz^H`fAbURwM! z^*|W&H)r%4fFIz-M(Yu9YQMl*{H#e4J`A*pzQgQGE1-6ROsTFOr*dua@8v9qmwo<^ z{du+KgVTw&(lC;6w9F}irn>>9*?mx#%`}Tlk_3GsbHk@4dyW&G1G7q*h1zFTy>-AX zQ<2CNA8`)s0VGlq>$SR^z!EVcrGSqGM2lIx$_pdUNu5W+0cN#et7R+9F*(0`04$|I z;@44Nc928!h{2A?7D`DMXe=B;Mvn&E#Zp7V&s$-ZVB@!HhK>at(0qjA)7T2V7;ZD2 z!Na~Hl}Z~-0%2FKzeF`eCB|oMq;}F{lsV}4UqNz8#(eN4eWSLq<4cIjKO)LAIzAWU zoZU0L*oyeavkwdhd0HUf=8p)8qpPQXPUx05AHv?A0B7Doh~AGpV-DwA~0a;%KxMr zY#;@d7rvJ*o@LWKV3_vDn0HX-Y#<7dZ4%BeA^E){0vtPv>j9hHnQP4rQ9~r~I4m^f zb>-1bKPLULuqKDcLZgT(4T2z@f^;g~$fh?S-Q5k+-QCg( zY(Tn01f)wgDxI5dY4o>v-*e9RzA^ZVAp?B&v(}pHp7(uCLCRu#=Cq28B!B$pC?h4$ zkMw8<;4h0c(wyDqLEJTOhC)%K*tHt$i0lY&Z>LTEexV4X=J(&$^NElNUk=J+kEz+C*b!V4fKKZqPMRcKUqe{O5Tc{`l zye9;*?lMmRd=7M=J@Hz86xGrvEHVRp=Vczjp2Kgs!Z5KE+k#jZQF5$*ToO-ZMDy^p zqW07K<~y8#sCm3rhE)z#<&By)izUEUdChUIIt2FN;zUI4mfs*+n@D5$ll$Px@ik9{ zG&SAhsfqwgpOyFt;obL6kA49B24X*`)EsZ~SKkv+AdH`t>-)6+R=_|9t0QB}-(M+R_B;4u6Xqe#jfAuH9 z#hk*QitGP@gAQQrxYu9OOV3dm6qkW{SYYor(j(!o6*rWnr>KtS{yUow%Dt|%1VC{5B>7;n_t&K7E`vZP4` zOTAP?p5oWWGUbzkfg|~XD);1!pMeFMRtWeX6iS$@-^x_O{P%J?q)IT5FWM}0dJp(F zdv%e04L}sC?FJaJ2I{OgG~JDF>g3+cktKaAsw7L{0)6L^ldJ{R5%}|W(MbT$R12ZV zA$q_XouvbJ=3+VajpQOKVsl!b?*>4gs5C0!tmDCH0Z6lKGWZ#fgZQ7%x&$9wwoB+? zGIU#%h*w2DKzc*cyc!ON6Po+RPiu%a!^2wL#Qm0i>el`RMzO0nuXTm{cVU1b728QT`vB7{h)Wct4|>FDt*pA zwqz>GOY@bY@1qWIi*@(f8*0`^5qa}V) z_WhH|rKFR67>{$02z}kYPUE3uO3v;u)m-k0cm3rz&Jn5=z9B1#Nk%nI7*GL&zmM8k z5CDb?XkI99(&-{2=!wNE7j~*1!dT+WN@%JH`hTQKER^Lp1NIVN9wH5cmK@M=LGdCi zI)d&S&+QzmnV;W$-t-iJS3vZ{v&K2FDXSI^5)d*E z@}HSA&NQDEVMkXMSaT!IGR}}hb1ZPiUUU9KcPOYg`VswuGVC&M8Te&Y8*Jl^Q`{5T ze`ynYsKe2z8TBX*z$O8f+pW}$tG99 z;c@W5D@sb%djYrG%U!!22jyOfh}g7-2YEo(>tcte5owpsX1pb$>#wD}K6zs}wI=#Wp;7I}$QSWq+`o{pRF@|ed_6ee zQ2?U}2nh=C`5`%6GcSS4-bdmS=Z9l%;YP4Ct zKDq*GBXyi`VK-1;jY1u-wtw+#5_DT>CZ|X3zfmLurk{JLG6{&|ii7Yg_X+98_Z!S` z>R4ZUJGzj-F8iZj%wR}5ag^o*n73DY|5bmxMPG0^fErk+MQNVy<4S|Ph?giElY$i4 ztYs{VGw}U@8qw1?2Y|JcGk04(L0spH2<88elJtm`O!pd|)>uM~-X#Q3Q7VyK(23;F zNCAX52yl2Nr?bUQp)<)Ay+3~Wg#<5e-Sb^7PxKE_54$ABWdN_+{<1JD1>@k3Y^c~Q zMJq#vaeY+h~)yB5r%Pm zr8-6KCP4#Dtb}_Qr|MQg3UxK%xC+SP9W6Izn=Dug$Gb^vPghEl_oDgul|xT`p`bNK z7by&)0WP71s^1vm<;gY{skjfIZI5Osms*Iq#>tWxJ=ene4KzSnX7tDRx?_KDp?`RR zos9S2iQv8c@n35Bcsgbl-O7Fi4zds|;?`!@d>I&#ZU9AIP1*SqV$*ZvGo5&{3p zaqdI3>7>E=zChr_8avt<*?q-#Jy~y9TlvXai9%k~Pjlre$-(a>?PFmg7OlhF+?1cS zpucJwu)Faw6LfF|#_n?yxZjv(*?wYyEUl?dV-CBucVs*ytlLEj*fgm2egmN-p%4OY zVrVyh<h?ZnwStR#2{}740JD28`1>z2eUOJ* zOVd$(Ysjm(de~Ia?_JJOVnXkLY6dcuT1w2Qa;$R3`5?cQFPsUsU;CK!C*l(-dbA4f z8mrzH@PH!MZ019%ODUqk7#KgJ{lM<<8P0QYhU{T*)d{TNOuK0^XrvHmOsLmn>ql$@ z{BTjJqGLbYanR}F29)c^-t1~~$se#i^UO2(ZWrTKE_;tmu=Cl9hk=KP~ZSi#E(^_ zmleKr_dfk1Rj3{{*S4+T($=o9X6yp>5C#?wAnSR#W~er0f%e>;t{>ogtOpLX+oB`A znIY*%j^woWms?MiO!5NvBy~#@4uUj5o0gw$1ZD+Oy8c$n;#Lh-XW{}EkEW)m#}E+B zYPXI=rlLkI`cYPeJuMacV71$10!vOJzYu=5`X1=5zA2}MGmKY3E(Yj@-6lQ+uRz3f zqNtJ(96Z`}BfJ0j=UM2Q|AL{Ba2vmlH8T{V&-evdnlH#hL4)Ze1HmSDc7j&j zu0H=$8Mvguqq&2H7;(578@*HG1CJ>p=+z|UxdRBr4LEP0;QAqMQ9lCwogS?W*wx62 zuOY_uecI6$)x@E&24O+HlXXUkN@kR`HxckO=MXRCq8ckI8B6A z^u8IhTT5v&HQum4)h8c@0lppMj`UMcb|HCEiB|lHN4(ltkzkisLEeEow%YOwv%$wU z-elp)DBs2-=R1iRhdpKM*-+Pl(GP=EDIOZ-J(B-RWR_e+pGknw8+kd38^E~MBu#f& zh}TZTju!tc@_5$x#tW1s_uP%e8lL9nw&jzS(IG%j`TCKHOSknAjHt(5%>C+eN}zFA zK9P{k4A$I{TiccU0ULdM%`@vohzq8esQWP$Ts!?HwuJb~a{uI8Z)&z*?MD#9J<}^r zI1D_z;=U)6I6G9gz)J!IqV?nln-1eA;ecbqNOq4fiWC+%SiKP~^8f0p8t8~~D{Zwo zoMo80lrK$bR%Dr~A9*lQpJg_gM99|3Kyo1gHDk0+Z@>W{$|Di4efHSXQLCQFeZVnD zky@I3M26-Q_SaQpke1cs%ar&ZxW9H_9sp7Kw7nRWg?1l4QVqV4;6gCK#6i_0Z! z07<#e+C&F6Ux0bBbS%2+6~`i4c*&h#FHkxeevtLEx)7hP%k?~W za*30;c=saYHS~h4zj>ECb2cS4+6RC}iZY9N!W!LBzqHPLls^Vr1l8X8vGB#I+Z!Qi*!EL`83E2d||+W*%HKel~E4Oqj6WZc;TQ=qE5Da?@ty*6Z1htWS~?{Ar3I#g>2Te|wg$#4p~U^-)FR+bIY4^*G`@P8J@ z@C5@LwtQ@H_3}<#->Ef>skVM2|I%GV+?I2~c&5D$h_A1R%WBiPWOE|~hRKGc4IIPL z8dfJ&<5GgSadM8BQ2WK}qY5)wt=*+LJ2^P9L4wy55Q}u}VNs6|bzQUAbfM8RFCPJ@ zRHX0f1j6({@<^2f$%+X^k171fs@oIqGb@2q(YBOmc-d;nkL3HBhVFYT6eEZzfNmLc zrM6zz%(DKCj=~HXxE6x+gf;>2UVt-N3TBxK{6`GJz~|=N`d#uN@Q`5yr`H|yzU3Om zj&1!J=tPf_kI^4HwHLcWE^^^M(U_)bbFi?ZmV&8*88qYeD1EMD#AZj68ni5B^;B0} zRg=S#UY;HKM%IKSw?w}I%$aq!;jO6yG#fT(@ENMoL0pH1c`mBID8pU(X6t`r)kPX- zZ{v85VsY_Pcv(-wwrinM>)h)N;;U76Tn-@W>ut3~Hn^&HSS4VqAchek5zwIab?rRP zrI8%?U)WCJC9wzgPXVCb(3W24~rT zOeRaGTp$4whUM~QePJa}-8^C6!5%$JxS)0*%Vq*BrXF}3N^u}zM1D@6MvJ= zwWEa^RywI38+|y)BBjGLB%PefcK4&DZThPKLacqiPyjHXPTNbY2~@YhkHY*V2?UHf zKBf!{r{mjHxsUP2M)zRc?Rwz67mEKyg0xg-g$=6(iprlI1kzGcI=hP)=@mt88oQb< zztgR$YC(*f5JglNTziVvR2bcgtZDf95pA7R>=E5ss-?&ds&H-4b|KA~NYG4GL@k_q zD3=Px25nQketGoH`VUj+^0~V=bz_M&cmJ0^?nB_Ksp1$aoM*;UhK0E1kPpQRI(}~K zg9qUalltkLHS^e;IuQ(w0kc9@jwhXGNT%03-?ds6roPYWr$n0$^JlfJ-*o*1J_2Bz z%VeFm59Cil$&;zzS!%Y4l*rfF*Mwsg1#t%lv&tl0fx}4!1?`z$WeC*y}%I*1F7T_k$ z;5;NYqSX?D{L(aeLf{q+i~`ITIo@Y#>1Z4TBd27Qb8o0o>ia*y3hc0zij3$=eWrN) zc;OHb|5z-f8D2rLw_^aIEK|*b7?!Y>uqx}BV(q7ol4>>4t>nIRw;YE`8a;tbFh);B zmCtbOcW*UkR!{$TWmFxxLGyc;H@mXm{mVWZz^WXOez<>bCbsR<19+GL7i~*Y@`C{< z`L_(WC0%Ff?{+QzhW}j&SPr0>L8jUwk0=9ae5P4BAQRJvy0ud%1^u;d%gdgG;PVf*vE3P6n+yYOy_qdWeR=-`o zB4^jn2G7Zd;T|VTk1Dk`KdGXES=qp7_k&W(7W)OrKbcKBgY;lV7<;ym17O8r7%ec) zii`<5iNxvIDss4UlIk26MmzmvOzJMOkB#Qi89f!wLyM1hPT>S=!`urQ4w379i48aY zxzL6jhrk}LG!GcSX!iQ#=~-h6SS}Th4A4)?R}8NE4^Ycm@M=UNKw!vM2c-DH+U-m+ z%)R74kOJHy)%DwvyU#Z3-Wdfc<`x8;y4;T;@#QllbG5{+K|OLh$A(=hI!t*vrXcv4 zD9vHa0yX2$N%gHs=2CPRi$5>c=KJe9YGJ^C+#}!@>Zo(q4}e#+1p}_CMzG~8ZiYxC z=mwcB=0m5gC@}QJn^hs*ib~4<;AW1g$X~L88+4cfWRtaGn?X57Bzp8S9Pkt)kN}4$ z?Q7t`B0sg9@XoIz;6zJD0g=o^mZ3_r9c3aO7@YX};U12RaDECfjDnDnZ^N3QLk?(Y zCwnQ?d*20H9b}cWGlPB{aNJ6YTCKiP6fc)QwS_o(Y}kusX@HZ&N$i95e217W9GEl^ zUvcT6ZT%&6X2W7P#~}{$&yrHH#ou$XXO*auQET(;xXl9AGdMHX6nZSsNKZ%h2>`kX zXoCFCN?Q38h>8fpS$=JDr3xMZZuKX_yRr{|GslQ&225{2v7^-%A%@UKtvHM>!vfPjKaEjoGM*v4_%;hTDMlPLm}GkI6Up0H zb-fd1fF{AtOjg4AC@pj@mrF4?^#|nxFv}E0y}`YWrT96HUuiTZb*@Q(n}iWteShEL zW!?u{?!u3N=kra=Nlx{-P71dB@5eTFpa6}MubT+#P+hN@8~RC$%4mZjEVu5%9owV5 z*6H7e6LSGjlL!C85O(gzIB+WSsd@d!H+vlP4h2!%Mm_*C)=z_keE*bkI8m6uHja*t z*v7XiWERMLmrQ=(>JVVxeQoJ2i;mi!5>Qql;!%miI#}8O0NpsJbzhQnVapU(+GYV z^!?+>YMHMqFDcKhXr~GX8EYWu*Oh?iJi72~@yWpWCad!-`u9`4;-R`^{F3-9 ztuB}7}o!}WHH@@vx33MoVB3 zHXMky1AVoHO3+X`83udv)%0CrI$Q9&2+jk6VVhaW-&am!hkq|abQYiE0bBmeYcUKt zaa=pr=y@K*!ZRtbh=KM02~2W*Uv zEI7ai5XeqVSXdB%U2A`6^v~qNLosjRfz_PjNcUL#p4OPtax-JrrY0ZXwS)Vj*wb0B zo#4i$lv4}VZ;W2-@&#+c4^yj6B_Ldu~E_tG3tv zwXB`C8ws#64P}8ki5vZs^{A_AL2O4trazFq!Bist3^3@43?*hN0rn<@fiC(B#@jW2 zMGhR`Tr)FbB5%Mi(yy1N5HNDcf>$8K&*7rbz& zkb9BeJB_)N4D3b0{L4R!m%)6K#wdRZRhHncC@AS~8utO^d6;f2=h!C^9rcvhr;{=r z5k_QOipa`Dzyk-&zeRZ}WT=cASw?a9psGs?09iNHOp@%`p&|}6VgrireYckCPd`pK zbC6^q4;W-((J~|_Cd>x9DV44W%lY``y5uCStoEtLT1uP)!5R5?mLt8rF*=)BTE8$4 z4(Kc9-TL6qX=8JIZVaJE>x?Eo8Ng~aG~gj~wrZHG6EO1|HJu>XLMIF@8aTV1?4D$F~Rrw1>)d&^p|%Lv5I<#87&mo9OwG# zaiLCPv`4g^u1W<>Xc(OiUYEiy>;X1b4Mq+urB#G=l|3YSfr^5&-ZPfnhLvrJ^ruNM zBP94LR(|g1=vXf4T0VDdb7T-k0l})VEh%cOeVU45y^U{8WaGpkZ@QZiG*OQ_qGMfz zsy26p! z2ceG39$bINjSE=A?P%8(-&Ja8rmJ7J0FuZds zP%ZDj3%uO28z!9ir0YT=;nRSbVlnyJ~FcMa@B66EH?nB%7;#ngcuR#0ql{L3K!R_m87 z-ni(#avUd|j~+!1^HW{C0E}&wR@o@P6pHp6D&O$IwUDKjU436y8t0>nF;^6#a}LIq zsu=V9#ILhG(@}CY=(-sDQ?F6Q%$IRf#bRU`V;jmYa`Rtmw zB+Hm;Fp<&-Qe~e}4i>EFrWc zF|_AoJ7V)in6lF^wDx-*-ePbi!?ivkIu0v z6Ql|bNPOYqi)+#9Uw@qimNr?YR(Vi=O`Rk+UaenmF^8J&=?1&xZO{(z4{V3ZJkLlY zZNe!H$#^R;Ky05Bd!Fu)Bwa@5VWA@$zR7=Ga4b`h(C-IcY*^lQHOuOUUqEC33?OMO7>`vVMHh z9d<1gSZbUXv-uPr8G5P|2Em8XLQ610R+E#Fv7Slx9q#ieOl$2iA*Gy>z=QS4FJ9 zb}4NA{iABpI~09UiJ6X~aob&d#-IPV}v=@?FpSAy;Q$(R?P12PDGEF!mLnQ z-Cktj_c6~nB2-AyTkh0;FO^b4@t8x9kMx`Z>Z(IayDP-Hf3o8O*7(QEfloc=;lh@r(4Z%Z16 zg1GeKCk)i%%#=AzB*e`w+&xU=z0qO58J3J#qwVsK@BW^SWpT9EzDEDi;LcdBC|!#c zIKyqhJD4EuSZmMZGCD~^+M1pONkC-%UaZYY<<^&f=R^FXF`eXTyc>1qaZBMo+ptw2 zUf}3h0@GmeNG1U(qAjnr&Z^-JUS;W3O_cZxvvf_NkO&vbK=Cbpg4@z@mR;e9Z{E`; z6|ZRte$QQl`H<_$B0Qm1o5@kZUSr-C6Hw+wS0?IecO~)_?ES7&=8ke3Eg%_RO!1_ATC#dHae|wa`*KE>O!s` z+*aZTvDvTAVH<{;H5ulhF3oBi@Ik4`F-NAC#`81OB_~P_f&Ai*3)Yd=Szq^R-ig;f z^hUP|RnEf@TpMhlA4Wl&&at!m!M6>43vq1RuMt(cG|l`9VDs#ak6`R&s8jjrFXXar zkp&1o1})o8t8HZQ*)ufWNtTJv>Dy)EhP7QJ(#%Rev5J*pkxCW&a`PjwBjDxmCyXe$!<-yny&)+jzSGxgs)u)I* z^Z7UL_Rn3422`mn=JFQ3i)BNzZr}+vZhd^S@~aZ7A`;^46xBkFc2NIJo5B5}D8FRw z-Gm_&;_0B7!tS5l!F6Gak8slIk|73!C7Pk7+Z4oYl!r*{A?mfH%l+kF_{Te4^lSwS z@djOU%`(^>JGUcM9TAq|I+o@dW6qly*Wa?6xQ4_Hjw?BMVBFb)q|RukDbfaqKFYIf z9oQ7C_&5mPxsx%8=+ne(w5Q^Vk=uQ&2uq#GEbd81AI1UUIqu8XS+d^4E;?qvYAoKN(_%JEr~Q z&C{*S-a~>qFCM)@I&x82Ru-Z|Zm4 zTJ$5ajG+phhv;}rRvk8b36QiwPn;lM!%)6llaAdCm85N~qx0S@JQ|0^cN4B@$!;=i ztkAL`9g}AjI%B=jc|}rzxRfx|x=PuIw7Rej+81h(#S5-!wrTW|zKWY3nF@`us5FPU zGwV>NHN&9zM7xFQ%=f2xMP5>Kx>1TwYtKm+FUEDbuoneNlY{13zBG4Vm98x-zp0|j z{*}b^rj(9>7`xxAGJfw@+)U+%?Y$cL7pXUSdfeN0%n;H8-$ERW?%MCt%<3pQ@jH%d zR!^6RJNLz^DpHCjw?5SWrf)V)SokmkrCi*|*7yfshY2TJhE|pX)uGeki;zNA+8&wK z#VOagg^7CS+WngTqF138Po@RE*J^n2-{To+Z@r0#k5UfLj$@sUjL&C+3b*waY8bau zu}&dOEbuWuG863j4RmgM?JkDl(P(5I{AE?cNT)^FKk}OU9k;EZ_YoXO|DHo$Gix2P zXwgU|w2)%NNwC!MXBII7)7Z6Bk57i83;XwHmG$>j-Z>SIHe#jm)D@hgQ?b9Nx3_>P z`PAU1fa;q1f&X<`!1dFn$^f`)B&HW)C9lqI*n8<|js@qSKn}5%?`f4sWQB;Ziy&3= zk46+j9+oifPwSSSbjD~9Z3mc6Q~6h4gE$DP7iDoB)1^M8M=s+b&j}v&!*rNKZ67b9 z)k2cZNZb0ka!vJg)3i!+-X>nrrWWNLdfOu~5fbtxQQwTS0+uCeHIv4QF~WMK0yVi( z{l<`@t;V)XS30J{@Se}&!;)1O&Ie-^BK;n2rI@=1_L>DgcPhw+f6mz?$W-LVOqb`2 zRl0GlXZ$oI(==5-Re2FsJHbd;H6p}QGcvcRMi6CHkg3G=Yw>uwvVfU@A>01t^x8`S zq^_IrG)1}1=~d=Yn47!>pWO#+jE<9Ul`4_8heiT0ue;LA2}u>>Ufog+=1;a{!%}un zoh23IbED`VQs$MJy5=>~Rjs8FjZG*Y~j4+T>Q)JwpT zf%F76Gc$xZrev2@Dh=`nLi?2DAv=E|!Kb$#b9Fgd zXY@5y*qr@FT*?U>LCJ36(NAO}$c&*(@9|7C3lm6Wu{sE zmbDNG)jS(pvy(l{KSrnay4#Go7$bwj3g6v|iw$hEGr|_Sx|Hwgef>|8;1#%J0|?doMf6*E z=NR!5cdD-PKb2mK?c45wHRGxOlzPb@Z&I3kCeOYIJNcFkuZTuxrH~qU+eN~Y;4;jq z8B-m{^I{6Vr~8Yw8Ro*m4$WTtJy)+Ckf$LG63klPb0t{(QnT!18MLAp4Mk^cFPI8) zY}`WMwIAkCgy*<5v?dF22CrKr=VJ3bh2LV@xiG;@nS)1oDs+q!XLDa3R|<UxKUys0QBYrtGpcYHA-=d^_$;n`F~Ph**3{Xj?{)i6e|>DSDtV2fcQh|n7ebP$ z@(PDoV7Ftd2u`5=XKogFT!cwPEvt^IQ@`0s;hC$h3(hY&@-9n`oHgVVSr*%Qz#~(N zcmhL#$_K?TmekPW;d$oAtSmkfNB_ZCHDuw!wynqv-52!OP#7S=cvw$hD*qw%wOn8E zh>kK>j6wwp*cO!GYz6@q$?`EmsN#4MS?f{n<3E@|N!P+{tOX{u)s}sk7x(R!3lBc` zuXHfLFd}WwMeGh8scRg(Q{-6~&SRh9YbWU`RJyo62~i}riLqLG@m^W)uPoP`#dOk7 zZVOFQ)>2Y8lj)sE=C$kc*451$Jnd2EbER=k<1HOLaO-%D-B+yKw>WWSiIXGCrzhM6@PI6#y^J}(qsqN^Cocy2- zpGD3-8-s-pN@8+!9Go8|Xhs-uU2fXJSKseqr}Nena~Fw_>Gwigcc+_c|K!CW#eS}d zC=)-F2z|1&_@)ZsUiD=4Nr2u1jl_b~VrFi!%WF&%ktI*Q)R=cCQ@JWFW=sVm+%%ZQ z@_pQh?6{4}<(XYIW%x7Vwm-<&7uQT`i@0VP(CC#VM}Cf5heHO$9MWvJEZ$D#c_=urVzYWgFhQ(m?FuVFS7-W>|!u( zS2~_WTlM!;7VnFARW*CPRVBK9kv{p3XutHk|7*RH%x9r#7{d?wiJQH+jp`1!?bi1S zH`WWy=190$KItkPVYC?8ExRrhXfS_dbC%L5m2{dG@J@E5%T?O`Ev!~)j@s{4oKji3 zef_Hm;{rl-J#-fHq`hfgFw3yAtPW>QxIoDYp~o`B_0~KK4@o0Y5NphrmV=-|M>)?b z2sdO!uZ^U|g}-2g@CNR*_WHDC4ojK$*?y4*0%j24UE&kn>eBfAWz&45A!=2Y@HhZza z{q7~{ny2Stt=)A+t+8=&Q(&NYfLSH7Bu#~ta;6QhPjr%#_Gp4A0*?|ykLZH}T{VBH zJdUv68$lvACM+ojq<%CU3)E9N_Zf?cOxOJL{*!=Czc-0YI0%8VIm+D^$$HOA3hlAW zvT;!AVQ3HA`X^k^OV)b*bNY|H?%#iDzpmexr+eX{F6{XQqW3GrV!HTyjoWzR!awVW z>^H_4B#r`sKu}Op`geJ(-Bej+eugSJb!^xiR)QB4s1WtvDaN81f>5aX^*%KFO-d^*N`x>>7$Evh2Vov*TJ_wEA~ScHmAgIT*vM<(RHkZCHF`+C3n3 zFzmL6Oa%?gr%l8oWdi*&iijgox(U`H8iq+gNs9tf_ZM2MgPjhzO)hpMxw|K=OQf#dVoX+I2gHjU6?E-t#m zh-Z)=nrd0Hm~J0%`=h#Ae$l_#qC??EZ_`SAZ9iNH1=M~5QhA+X(@|XMId($c$&yR2;ujxmNhg<@Hme z-TT!{ljJfr=@^;NMV%Y>-=O0Vp^lZM{Jv^j^PT;iL!{pFRfaRgQhL$9W=)}*J@WIq z>-6W0jjwnZU%3Sm<=kN#*X4##D`Um23_0p;eUd14H7Jy6Fjk|llZPamvw|xI>%0D{ zuYrNOdda4*jU)8}nmh)08)h}>AQ%U^yl3z={pZQ6n7wOA6l^T?C7aLJ+wTlzst7eQ zNwy6F5J9CL>n(-f2&cJV6I-d>;R)K;NY0s%zZG7C4H}Uyi8lyrJH!(jE+%e}n|yel zyYfd)Y1+p;^$Ths0k~0KmPg-y%VyC$J@LEv4z8$08a-_TJjvou?6@+q*wE!y+8M?n z`0Y(``q_(z!>;L6%X^=;UK!gKe@7C}dK{U^Ol%U;-DY7b6lBEw}po7zaVpV%|@<;p7 z2i~yan3jx4nqftlE{N9*CNw=HhRC_b1o7FA;vFSc$Vt=v?-;57&nlq|2qXLL@25F{ z$VL-b68z(t(K8x+8*k|FkF2&aMes4-sV!ZVBWLB$(Tars{Y*HjzsFPotGhRMdH;+- z88-OC)lUM(f)51T4qT!AU8Xv^-mMPEKR>^z)=72Rwfu4{H5?n9#HJB;?{_Tgb}G;GdaRJ+?_jXcmg-JuB@W_9=*O^4v9&wi%R;$kAqsQmkXpsXc%9 z=WuDsKAh{X&Dp3l@9R#VCD|3219x+d&Q?VXP0G*PR7O-3^71&FeS`;VQz_ND3RQG& zh;Q}9JaKYWI%5hkzuSGL@Wf@eNOv6{QtEL(AP{t_c}3?$O6<-2Nx8x7CI*!Z065JWD+%ceNjW1_tcVesrT5)kjH7wVT827?0D>Lu zJHl=#0^^}MD0x?CIh)b^zH|K=h<0xRSLHJG>&l@7Aag}=scBR3&$;(H(ZBNN8OET7 zG^H&TuP6Mrl5?;S*2v_{UmwJPz1ZzoN!`5{mCg#45GAsezo+d~Qf)*%Eac{V*c(N> z*ah^`a_pvtf~*;hb5qC;k@LIiK%HQr+Z$Xbk}U4xr{Uz%e9-CSA#o^-hD=%Zjo^86 zV1VF;7u0t51*(D-(#l2q{% z+nR6G7#y!6<3FHm=_PJ+57Lx;7$KbdRl6uabN}jo=5=gl{MnSIZ+AqE7s=fr^I)3U zMAIq@ZjvigkyGd9(HGTKTqy&=zk_h;|FIHh2V7xW5A$XYwE*$@Cy^gmdEltUSkLig z4CKFIMIJ{fqM1J(9Sz1rJim+>LTPdsyPO<6kPTkVTDzH>KD8=-= zpCH>oaKQQ9QE)YtCLrCPHUX6Y$f85q})24;1wCHm$wMA9?|E|!g zZ0$U}y7>EN>2&GOT)-MYk_8OL|JjQ77xVagQ;zo(+2`s>NfEUmPWpz%m3aXjF071| zpbmf>s@W9Ib9nCii$F_{bvO9354b)KSt%1VKMM zdaP7R*Y@j!gF+>?-ky&=mC|6nsal!%_xS7wmmmBN6uCSR$z>3HPJAi(m3PYCwAhc1 z8_VpcQDifBziJXEWuu`s#nV$%>(UO|*0T$L{fC?XykqWo6-S-VHWU`wapY)( zkoP)er@3ZPHqlAorO_ExD4%z#wO3_V5&~Bl;_i4 zn-K*m8km8f^SBhyiC|Mcxn@aKpOLvRs;Cq_>!xnUW|f-*esQt!jG?*58tF3F`!1oe zTL(YKm-zbQb*dauvidT)_k@Fevu{cwQ1kq`dHdc2|)vO|;K9m%H;~8Vn8=urOZZG3Y5|Viu zl8_QgfB8*fp~mL17cYg(Cjn@hCCt*Nw|=Pk$HksdxF!wh9!<&5eCZfwro^NQ3}yy3 zu8tHk7>_85I3C^$h-?)MGY4bON5O<5slMG8LVu>F%7_U&){#WNT(wc~KO22f1uMtB z9m&xk)kt*eJRD3houyS*d>q)1VjLmM*5aZL+&rjI1!LbUg`c8||5cznm%MK;-nV+_ z?FkC5EnV3D(V5~G4QLm<`Lo>TQTK0U=3T7xciaA=a68lq<rRG{Ztspws=sRiBk5hYX0>~D7avf^$9QtINb4Y{ zN9`-whjx}e-nBN1RajA+Gf^RlgLiij;1(wcjck<9Iuo-r7Or9l+tMM_# z>RONbCaIE#OD4#@(b+hIe_p)M-p$nTl0V{&%slXujEc{D;Q8x&=WS~e672iUm{i0| zHZJ4$@M2ouiERrv`01}$(zepFU1W{KW`s<1kj*gjil5+sxdXn+?I+rswPDNryxX^s z+Kl4$v+O2f&?Q~UAf_<*uJ=8yN+r^njc!&;jVL+B#{&CH2}Y1r0UlQ`|F}ODP}ph} zkFQ~*9gz~8<%Csg^Rxsi23zSd@BCSF=nbsg_+I5f#h?s4K+SOxxM=_wYe3>Uotc`O|CO zFzn`4d8|W$Ov+F7gk}}l^C^3q?xY~yVkllpi}Y{^AM+_Ur{vvegC5T1Y2 zl5f(r^zVE_kXWViy4i2KI!W&uF}Pw0*tq$8v*h82UsZq?1ok4(5tGLw{$zOa$IGYB zo#R!X`4VXTiH^2-@n3a+myJnWi%whg#370w)5@a@-ZPfX?&8e&olcPAhwwzKh!V#3 zUxqNzRH-T^7bOddu}9}HnJmz}O_3gNSoNKobd4)@Q)C%vF+ih-q^K%X1aL^6e=XQ-FuDC+o6j8 z5VUD*W-aE0E8ogbx#sDVcsVYl9O{iG~qk_+a!6p3h@`H{D%)O;T>#fr%A0m>(I}3 z-f$lY3yNuG#G+R);C-{ZC}j?&aN$0odO?GkBL55pL+VskpE%4P4TC1hA_@<+35Nk= z*$e*la(3f*P26Y)d{|f4w|x3$=2Gt)=0~CM9~dA9y;ZL2ARJlgKOZOV*#3 z9x>?PUpHS>q1<k?_!lh~OO`GTI`p+lD+!MVf+>!E+p~b3sW~s0GjX0*{(TRcjj4&&K3+JK znaV`h^$A;^wz$8i5M_DA>ohT$YJiw+Rx5GMO(Bs9RB@SF7zWezan%bQ-9O)ZJls_~ zUOx_%VeYB?R+V&amZ*6CV5B04OAR<-XpQ{cV++b39W)+UGHq9`tn`M}zMa=jQ)E%n zFwLpbJ;Q#C>>h0f^!mduLgjianpYUzk3Ep-As<58QzLP^yu_%w}P(N=I!yg z0T6v_e_m)KG6}2|f4@ zBhwdgc+|5|SG3@ruC-w`xY}fDs#a?0tjy4e{OK?7&;*89NKUgVXz}CU=+TjIKyFF< zpl02*k1x@_O#v=2^@pd}Pm*2pViOY6AvP- ziuNku@06_|wtuGdQGV3jL3;$VTyL`Ny%Qx{0VndWP0mnsE_&Ag5`NbZ~%c}5Ew#1P=uibq@^W9x=V%>q)WO}IvkWyx@!n!Xe5NQ-1~j^@0{}| zdU;(q@mCk{I`hc3bumne>p+oZPmFr4D%^rA3{dB1PK-Pdat@|DY)d> z{X2U-yzlo{1xq;0+WyBuiF+luNTHQw|97tsTD*{L-2>PhvssH-);6hF#N5Nj;MDC3v0OMLZsWPT;MMgF$mDHDU59h0B5d!~ zeiRUwyy3$2E=P=ax18+DfJ#Jd=3@u=?gR3kc07?pN+z065#K*k#W}y2HL(p2wm|PO zeFk>pepi__6*;{$VVGt5w@R6`2t~m6B9^zUr3++!!_0EcR}idi7Tc$qffP_4X2D> z*zv8*{z&F~?6a68jZnXVjW>SElFt3Q*`TYNE)ZiMb0sl0-9a`PBd6)54nFPo&Tg3N zir(+-$0W?j<3VzKI<6Cz?0Y_l<9z6q37$BQFef^J^Or}`nzkqdMkAP)TrUA0@9vwH z4ePVS7Wxjboy{GexOrZ_It~VhxOYpRR19s{^xd$>L!(h7Qsdbcu=P*2UAs-Ir!V(V z{1#0AxQ7y(Cm1Ptg|w#fKYIUoA~AXfggd(}DK)c01@xaC73AfwEvUX(QJn*e#9{lz zcuD)^q{5li{PCrv!yLiF`T4nbjk`Ly1iHP$;k?&j2cz%@bKd3mo1(oyVN3Q$UsCk5 z%`QrDsA3#{D%#23@Qoesf>`D9y9J-=0_EQv%XZ@;yy8Y0YerQizd9nu=ba#n7BAh# zpOjx`09m<)o4g#b&vS&($R~GG=&5;iN$)jv*u{hN<8W~#WwvCdoGxxU%S!#=`K!wp z*qmRpG!I*jc~{?@S%2=C14p@J;?TDDTjiaF87HZ`Ptc@b9?`O_Jj8cbs4TB{rF0_WCZ^bxZFw(q=dz3j=;|!J-y)|DOC<~ht zcjn!rjY(b!X!wA*B%S3g?4;y1UIHQIDS6>f)MU^2JKJ{IMx~83U1YXA8@8`0$1FI4 z8-|Odr(fG`b(gnKFb%>h?XQn{8tnV=+@IYpb!2jXSc;Lvak#o!Tm42c%PX|0yd=c<8kIFRFPsgg# z^UO>kABH7{3?Ix&H=%*nPQr340e(6rl}l+XTiDQ63ihMbl`Sn+KfRlcCe6f%SQd%{SRC331H*y)W#ccM}`FnB`)#4D-LjJ;; zCiY<*y{9dM9?M7ZKjg|%Cd{Pz2`u8i9Yj;!NkZ`Ctw-ibToru4H{g@Hi(eA%Yb!l_ z%WHYvo{juB-7@t{?5_U2Jak$$5vG1&tTA@RVve66dZ)YJC-tN9rbd6r@|HaVr9K{{ zLsn~=h)-}M3cJ{}%H)36I%+xO8Mu^uR(4tXnS1&xCg3*+)!i0)SV}e#3%_hSwuTTZ zvpY7uqIs#xb#%dP60k37&77tBpFl|=R%`k9x!u&ytSGwu(&_*HnX1gJJX87~!@piR z@C4mV@P)HRvVJ$!CSUFXV$F|suw7qZaA$MBUZ1tjN-xyE*{c7$VMpOkMoz>Jobo=t zPt|fp*Wac<-@36zh`Mkj_!2@FBu^&$2Em2#G~%ptA^z~=BZ>b@ML(Z-=;yv;)o@jw zB&HBL`G-#mT!B=$4%fm+ClbV|S7oz_j0f_K)4qGC(fPL8*GwCGi&+*z-g&xgUoSiR_Udn0rmFRzc`m8pZ| zLv*ZFAnTu*Z#4Y0H>)Gdj~~-8ygwT|jCR+0d1MdcecZ_LFd#InVE%P-zWXpNsxqL- zMUB_v*IMMhz1FmBDH)iPOigkHXlunoc?z9XP_~J*rS8f3T3aG{l!a3j=_@r{3vUbh z#T*BOlZb;Nr6}IrBuLN}Fu|of5*5w(JqLlt*@i=@l}vS~gJyWCi&bGs;V#F)5hf!W z_wwR1wA2!sB)~k2DZakNOZJY#xo(S6#92ILNQfXZMj#?`Rlpo!Va#npB>xaSCWu1F zwX9FL-+-ujWWb&5^`Dt^sg!@^LoIcxKB~VBM(E*uMpW{~9K_0CwZ+S~*V(|)SKqm6 zyS#iczrMw{h5NA$oiaw6AP&yCGED!>a1Y;oO_`(D(+6Jo-q#BCc%bmcRkpH6p%2)^ zX%X?ZDzjX6-*bmkv_zAunYY;ELS4WKU=_|c4hA@{Wd!23BLr`QnO}tCM@anCj~1jf z|3K{$KPgM*FB{Fz6Y!zPeP4~5jZ|8W(n!h;H#2yDUbSWj1qeaHDfqeGEoFqr9@!h+ z{(8)^Wt^(UPhh{b3-R^C!>FdB%`&jtyP4|QC!OOIlyStjQ1ETfCdirT&W-v_-o?LToUFw3+(5ol;= zSOB+fhkd$4s8*)6SaH7$w|}%G`kRa zUC1KlY}t3kXWV70qJ@us_D67pZwzgqXu=ch?u~G`Ft3;>=YUukQC)4GSTbco=NW$e zds?H)62Y@x=L#Ne1c>wjF`Z)M=_CF3)H@b@lP&OsW-9?bpPA72c(2R4p7bqtm=X2Y zuyyzMptaX*{KN!_(!)QBIbOCbetGH=q*j=0gZh@XO|mcfP-^}#-Cm~3xWYl8%xT34 zWRKYsp5QRZz};?Qkjv4(g=sA5ZtUj}QXUjd+I*Qrso31hrowksVl2;WhS&mP6Lsg| zSL#H)8ebUib2CM|ENyN#CYq((V;pKMA9IyfrfpeZl39%1g9LiCYfpAiGQWePaxvVA<+uR-2afQM2^( zv3s>`H=AG;$UY)9d&G<;aF01|c_WrLTDA}L?xR|zVm%Iir& z!{dTU*DDU~f9`>yz1{avao1++`JWQMo{@{6BWAxM{M@=3K*Ik#tNyNsqXB-A|K8XO zQM8z#=i%uJ$@VU1@v7Ol?pnNPLOM?74en{dx!)zW`F#Gl!s73o)!yP;)Dr=k_UmvM zvK`1MErTpCtgh)cNW>)nG-20Ir2SrIE;1lr6T7qV$MB1D&CPU&r*pDJG;homAMl_e zHHv8Z-pCI;0T(wjb6(r8t2}5`83jUWvYY>oj{2>s*yRNK?{! z8!>P;wzIv-`SDsV@CP(86i)63{%(tRL!FL)AiWb8=!3Vp%KV zt$EwGqnr+Ufj!$W;YRyz&H7occx40uYvaW0?`1twS{Osigmh!|Qq9ntyr%O<9@t6u zV6zniNo)`j?I|4;#!oG%4%jM*w@EU%s|K1QnzqbP4&8f6la{nbFN~op;6rSWD|{;J zcqseYZ6sICgN1Wp?LiL~CvdVTN#U{Fn|`;gZsl_S?f9o1j+iD&j$W^OKo%Iy4WsCC zI`tRHY^t?;>2kR56KZ!$X};j>1n9V3`kkFQNF6#jx6R>$BwNw4YsQgC#KsFc#RXu{ zGtM=O?=DpcE&1|s9kR3>!y|%dQ)yFeP}Qk)irrKGWSNxgy$x zt#Q9u;?De?dHJXPQWEGp3L!2xAOs2*%L*4ozeeiY|Jc7-ef;L#<=*oPvMVs&7QeRQ zA#=F8)@;fFR{QAq;9kb=Pots9rd6=$@7sr5$?>;|)47>yQ&cHbQ6@-)Z??P<_!R^| z|2U5H)V0HUj$U=OZ8SPbEfPI{>a_2;C;t;3xl1bRQo$pYPLEGEtG$|hYxN_GJifchGT>Y#NN8 z>>VPo$)&XZw!E_4!AhBC|1H)DiDdPn9mrQEEmXmDi-7nz#h{+$CVScxdA>bT;!8sv zNH1ZLm~WGcD4Wzdv+0hSM2}BAqUtz2Xh-RAypw>b^cPfODu^e)b{MEpF423)wA9f> z!J*W2T%;$V+%3Etx0M*V?XBu?Uq?AV$xQdDk6H;A%(qd7&3?S*8dk~7#=$Gnrr){K zEM82|W$aA;_I`0rKW&GaAf3^`&~`US%>kc#Ydbt*?iP5d zxkosGSyBz@!6|h#hL#g#>>^P>sjaXVptx%UzJG@m>>U$|nd;zDDq3KVJCo{XOFu~j z2TJkMTa8GXqukE3{?hNIwo1ft2<~7HhxpyLbS`pu2otI0?Pl;cT-Az*%y;wu%>NF} z0qL-uzeCVZ+)9Qtl))IFdE$K6jF<{C4uT}8RnW0C^ zxw9+qw&uTH+9}7WHNye-{I&|_uj;v?b-@9o%yTj{8vXmP;Q!YxV?&ifi7(ExF88&D zJ1+mCGJdZ~wtF7p#-ICTw4cAf+$*TM3pAg0^xez7yU)K2`Yn<@U-)Y%3@H2o)|{^A zA1x(KD^HI(M;)ec(T_L*&}K;sNjT0njUER}!_fiP*Q0BcYP@Vv?%NibJG@YimZ2|Q z181aAbNKK0<%pYk@!18nA0%0p<#6&nus6m~;#bUiTBcU7ZX2YRK1J8xhkgE!U#s=O zE^`d?F3$wl;67#=X=PwRjG#Uvu$yHm;j<7LHKe#8-_( zX3&8-SJt<9-9a4{HH=oIt}2Sw;+QqBz5PLLW?C%?=Kr0ks7Y>1IewI|WCEhn;kFx= zn9Ho}tJ5A@4=mX4Xerk z7xYZg;f}(==~Xn*y|c`@TWHDKokZcrE;Xf3;9}9^g531C^|PgnZ-x?cr$vJ?3C`Co zAU04sN{jj|qh&>NZ!Ky|>`GnKqK^Zyh$uhEFF6Yj6_NIoJN@(?Qq~xRI@Q&>(hDl= z4B`n|l^%oF_UTml@)WgY-r7|0=O*zYz51ItytF1&+kxD#-2oKkNYTw^$Zb}$71x9& zqHSi)-vN(rmacK?c^l_=BG%SB<(%0M(Qk7~^dh>C1EH7z4fW6KIv!@|%MhHbUs=TAg^V zmVjOrOBrpM)4@GWJI#p5Sbi=GbWDp=e`k)_I78bX$G$^-74oZUQXEW(`3I5Yw%Vh} zsN3; zYL8JmJ{j@L^aJ<9P0~D1cq>inxZHdFFB&;YZbTu;_oQ|H?0#wOiYI#h^r>G&)}P6& zRsQEEg9Uq2S;493y;^r6sW$64s4&VSwb#*S&ao1Al08mwPMW9crL3SrnUdtdlkn#(Zv zDjmR~cle}cCz?*DEZz@0@HK7LvM9o+_wtYD!=1nE)-Bs%a&k?jhdxzsG$Me&BbrAn zQZ>f}Q~|FA{XT|)gF7<1hSsmJywW&O+%?)ZK0}kzvEI#Wb<=ig6Z`qJtL_LqCvo>* zJ{vu}$w>{xg2J3FdGpwkG1Sx8d4E~Bac5gyEVu0T^wdJS>ISJ=@TysIHJerSRvcny zt&EYlbE7HGxE?fW>wYy>@_iMp?3$jdOt+kAlvmQ|{1cIEQ&i*}Rk=OLoS7^wNkLj= ztSgypZ=0ee7NoZR;erO)l`RAJHE+nm`i%xplIgUHGzC% zRlHzBH!zg}r77-y2mB~q07by!7xBTwW2)&|Y8jIiP1*HVx7hWIQZ#9z*A{y+AAcJ0+*(YA!?umn zD5*&DFb6;_oolEC<0)7lcYk>^jcJ0LJROXdQ7fcn7G~j0T2=XXV0q()aOYCZ1YzKY zm~jkoKuAx=L$*a>lV6K%V>L+xKHf6>wD0DvhDJW=HfwE|aEYiFNm|p{*E5$wjw`0R zX<9yh?c`uL|4-uSUlDfdXcBQW()3UA)~yJruSCC>{mx_d)7nqc&i{4?PX-^i1&*aE zoN!-q_#J+_(C11RpqYMiv7d$Qd`oox_vBL87gOkRZan{f^pS`3V(R&s?fLM?Ir*oS zy}^Q`rmSGINRR^U1GAGwK1wgOr_`UJkO}LiN(&ash9o*RZA?f6 z@7t@o4+PUk=f6&&jH4H{O3UoZCOe}QvWk6iA(G+m!mR^)~#zwvmf4le$qF2@2hKOj{xKN zzD;xx|Esq6_+oAG){kPDHhH@&=zGy7<{loeJh8d?gR8M#$z38G31`1TKq{%O7II}s z<-x4c(OL8xwW4FLoxvy)RJ>e6gR#kn!l$aU-dSsMMuWZIUWeXvK9k zK+rbZ!*Om8l(xiJ$~a3r(cpp7iffqQcB$SHwEv|0U=t0dFZPF<=qknvWuRKo8uIY$W7$zAupza)NKQzNnTI$d`t4 z&D@}3-|)85?*#&`Vd}Y~&{wz2`9E)6+K$j%sNLS(X1~IIv8Z_MRUjavC+o0Dwh2Mf zRIwxh^dwPc;9jPb9Z8{CZ&;Z4c3(n)=(@%gQFLm?`TXI?byB95!C&xkvF zte#ihgbWcNK9`GF3sNC=Hlw7cdmSr(6*0*&kA$>uE?<6p770tlh5Z{YjPkk=j~-#Y z`zP{M|Nr|ux+P;!Lg$CW{b`Mv-KO{3r8g9MpB0+)r}VVv`MFB2k9<^89q>!4R5b>C zigyD#_1>Q7E!PFqv;1smD}91?_6ZGAG_wzJg|}*|MdihN;3}1za$MpJlPYZyA{$JS zR!G>++5EHWIY!`&`r;mt2F3JuI&Mc|&8Fil;ti8T1SL!=((P_tj7-z}?EatwmTSN3 zQunw$Z1U02PhZP3Q0rKa>hl@_D1z4+dEZG?bdur^ZALCnyTtwmY<{LD=GMyZepVtD z;PT|#nK>p_%ZtWKcTX?XZN$dBd81d}?bho&ygKZ3#kaOZ?tz2m zOvqeXP%0e@=a$ZDu0~4m$KtVMN`eHF#NCM>_i-8bq_7|;_qZV`+W$E2q((7zhyRmt zTAaSSVVco3;h)HYl|#S+W8hq= zo=M-PJ0|OZEK)@JrOj=* zwl>o91ilM@qw-vx3IZ|<$W6leBS~F*m(BdyDmp*rm$H5Ko~Op=MrW1Y<-&iOgsk>?x?H zF%DTeOw`}*z2*~%?6M`GUh53@cZ#E=!BZi9zyV6e<;SHrr9aK4vn%uU4vY2l)M0^? z7WMQNgaAUGS8$dI>Q@==bv0uyXTqFfn?iZo3YUX{^L|^AmuI%zzbT#YwY*!m;$Voi zw>r1jMiPqhm2;GA1t;$%JG9lCOYjT#y3FL|jL9X0WwdTr3OU;AIPOmc85R}&jZ?2p zQ`D#189i$i0aXhqMPUN_W7emMrykDpA;|pad(AF_zx~>rJ~!Q)kuUZ*d+>Pyyr$QG zP9sAfm5|@o&1w6q4zDGxIX(l*_0(LY?QK}+AIyCqWCEoRkq0#bX;(*k6!|s~xU-Ch zZSp4TGktAIMD})SR*~a6);-@^6kqlTjQ`y1UIb0=T9(j*xJ3WsOm-QPT9EZ9o+9y5-h`2tDn=FPwZ>2bJWc{cZ}z%GmC=gN;WYN=W~KnW zTAZ*L0tO`xBDPeEP!&p8BAI8mP<#Hqf=41`D6m`$yE}z&0og8`L)L!Y<78$b7(mo` zTS?4uc8@xzE<+c&LEV{rsEae{4gY_g=i$kKd~sDV*Vl zk5OaqU}f<|M0rKI^n*j=^0jP?uFZLbYSX2jh+8#FCca}I;Yi@?yKa#@b`liLNJ*#Z zAT{|K#AbwE-|pLrUKOyKPepPB2UW(t-5qc4Rt!N#^YWtf3`J`L?~r=nau@gOuVd7s zsRQK_1T1+sHlZBd9kLY1KFhNbMlf_8csTz6iz}2gU8{7{*Y=xCWp~W@Z3LIt>`9R5 zfKE{1hKZ>WZ;+Zr>=+?O;Hq2!53T)H#TY0Z)r>8dcAcpis)fVvBo*}Q-nwkXTw|rV z)4VOvo6m6yMh5h^MA`9z8M$<0y7)J-n`q}_q?Tkw8z8FFPlyLEyA4g&tsb|zMJEUD zYxb$kihjYoR>>E>XTl0ob4})=veXYg%$%$-1wa!7d+CSjS8DpQWc1KH>J_1&X=W&7oM6JucIiWJg+v)@whcLg#L^E`;O94peI3KVNTHuqleB_wZDnc zPY6hKsju2HduF~!=N^x@DXNe+i&VAoti^+}e|wj^#cV{(9tgMfa*&=r0s)uScVHIy zea=5rLK3-e!WVQX!u9cf!c6)j>!+%;ah|BfbSxMXO8}7u&*6@aVkp(teMVt|{SA{3 z?pJv`PW`!;Og>C{N4~QudV&LNh|mo=>9|qsGlH7Yb@D2BWhx!P0>%8aBUoYC`pr*$ zzRJ7^G)f>f&bpS*Lt;#qf_HTaty6EKuWBp6#RClj4J!okvvvt?-Ed9&4fuzC=U2D& zrLqjJif1UT_x{dPzw z^Yk=?_loGV@}FTX?gr*|Y>)9c7uObPw>YW4!d}euRZo_%clBr;dEVdb89(0ii5dS^ zh}C(ixLkyzi~|6aW1|=a-Ma;ZLn>jBahkIj*%6SmW<7z+Z?1mhW>jrI-L7_!1Ye^} z)xQ<0_bPXnt$w;#G+b_ey4d_Ne|a%~dB*zt5ce>qeJz5Gmyn2PBr|oGR1?LIc8`AS zF#M@aKI105fDp%mlQLfM+5W-l#`;8v545JXccV3D#WL0o#$GT#!4m5jJC!}&4=f%Q zX4w>CxSQW}Dtei?*W%{b!>*P5VndM-F!FrT=vt&BC1qx7l4S0A9 z&-@SliPLdjUJ1hoq9ae>`-#rAnN?relt1U#c@4syg!#4kk}8rLEnBrn)_if&;el0y zpFDmWmfM&t9F@YKWKyC=$P7w&F`{(g&z8)Jq0f`bGFzJ;t};42doJfB)Kj;7d@=4_ zlabdiG5(n3%=xmVS9&O_i$wn_aUqjxGWVPhabW4!7SCn>G*#VV8vy(1*NDJIveAvl zz)I)EibPBI1)73325MIJ-3@p+fkDF~*w|Jq)oLw0?Ph1Iv5eQc+jYiF1v5=UHZ@cB z>%qpEu-0daNwz)&5Kx`7)YX)i%Jp8B{$!gN#1ujUP$zR9ZJvHZKt&((u8G%c#Jiet z*y29wT+z?FpWgOY%GbgaAZzpj8Q2lfOxt3)t|t+S?1?L_ZmI{FXqEhgNcAG=Mr$er zM|U{oZ-x!85u0^w(W;otrQEft2R)PJN*1Ya-|`l3+t@4es5^oXByh*e1relyF-0?& zKJhrQbiXoXKE3N~9BiE52#v33s>!(}A-1Mlvn5#s2@SbYG!Z0rwwUnf69KDx>eyDX zXt=EpIk2ef%fCzQ^&40_tFusKuR@E%Ak@&uY*{N5A0Gz zBKdpztV@0Q<5@}bnUTI>F|pUnN)e>4`3;4F8M9OYCgw#UW=k;%wHKRH9)=)stF@UB zJ(8t-ci&AMe6`GUeB0e$d@nrS=*ldjFrc|%K=bIHU`9+!Rcec?2g=Fk4I<0c=XI88 zvy%_Yp&Y;vskW|rF)Em6$#(tOgRE~51#2xYuB&*P5<{wH?~SzhVhlxjiNCox>xl7+ z>nCCAKpZS+eIPe?kYn0p4NZ!ufy4$@3b1l-#rpcJs zV5;-&ls&G~YkU;83W;h@S(%Y4jfL)PzZJA7pV*!%*=JB%IKJG8tP@K_J?i<8flq)+ zj%oM}i?t0HB5aI5fP4^V{^D|jD|NPf`M?gO#4)bP`5POWY&2Bnw?*<-8r|NcbZ9@> z+L7-`YduW=#FRR=w@{N^eKQPBn2Pw2)IHg)_I?Z!)Y0T0bCq+nICM@18mdNM9}4UY zkVOuYAQ98EO#M=Khg=9(4ruw=d}5`V#%`R1)qGkOm0vikWjQ@{o&fpcGLkcegdG&MC6%N-$2t>0-l?kYb8QydC3yFwoZHfNK ziGJ{iS2{AqlGC;n)OD%{dPP7nNzoqp~~}`2@4jE@be>?b~1yv?&tF zXcqmkYFgYUobrc*`CCC5F~e3Ib4 zPd)IYT=YwcWP#6q>vdmHL|pV)Fq<~FHxVw|O^c6U%`m}7F8=uU56ZcZAG&b!U^_~H8$)E%%_WsCK)aWdiAT~2gmJEh#ynJEprDZNK#rJjG!=09zToT{m(OTpSqpM{#xUi+8rS4peV`DD>W#J0D(|9fI zM0Wc4gkl_7sm4zy5|VK|Df*3foI#1MPUw$G(1D=&$zRtkt_5_9U`6%~Nn)X9!O?GR zP*TS^wWamf{eG9P0b8>KRL+u%zjnE4rarL-7!*wRh`(SQhtCbX^1I=BYCqYHR8JW~ z*?k`pvY>vw4_CD9{GAy#9%e7Z*&0KvsL=yz_PO6{Og<|zE;|Zouca2(Jjo(`{lmYO zWG{Ss|6+tWYfi(zPvM?9d|ZAGqVqGY<50iziv{{*PDc`4ko@{SbDP&q#By7+>B=jz~Am-8=aAl z-+|A0Dgge~e~yVy^VmVh%hl%>t6B$#I$ALGP7q>C4DS)QnwP19iww|J!^E~L2kTWtVNf)e|3?7h;Q8)OCH-0f!kKmTNSlfL^Y0j6hMMP=x>Ka1a6gt zH`V%_bw)o8`SGI`7@Q&mM`h-^Pl0g*0%&c&iew{bV;#g_Nv-84q|7DIzcjTkAn>tb z{^Ab{6Jh+J(~TSpSEUi^9wNF>B!8hMqAFwl3Fd@P1c+v%rgg;*kQKi?>2gUA6Yqu4@euT?l;Q!L*hb=JmfcQP%k?-%FA|Ha-u%>A|HikckWd6 zYllL7*&p-<&3rY|UI_<)z(~h^$IoW*0H<-U_CZO|$i!H1kARhqg;Hv2kU`}QUTP~A zwh^RECd8sG6>IkrpTKB2RKyv38aYihcYm^Sj>#-Y4nI3M{@PWQ{PoC!4QBa=ktE#= z)LXK>C3t;vp3ZseWvXG_{&n&oh4>(T(2@d67`1EnQi<3R%Y)hmd21SXZeaK)9#HL)6+AL8xoD+T0!3>+o_9vsl$%*8$!^<$X?p#TkO;>tlp#GvX z9#=cBGsIIgu$mDFb~M$%AhGc$Xs#A@pP#2bOJ{25j=aHDkJvrA;t*9h0e#yEw*{Zv z;!)TYE1E|SgZ%5SK2TH(`;IrBH_qoAu+M965qvaKrRQmN{p$C!X4w7%QF?!5nPoV7g4y(kS zT}ZKP9}wUF;>7aAXZ!x);oSe^b?*LwLUd;9Ka86Fm*oX#kzeHNsF{jFE z5EnfPrW|llPv*Umh^&@G8uF<`l3&Y#bA}pmzvai^#jbcRdD~`a^8j;;HeNkj$|%_* zYmoCD?E!j!ZX?rPmxK9X=x>I?@Sww#L}`mm@|kMQR5c*MbQwO1)TSfdx)V|zFZvj? zBTURukEPLlHJ{`;XuecGR)R02Wm!t8ubBp93T)b7Pf;a?~D-w zefz>wX*SQ*RkEQ>B?*Sqx(Dp|UbAGECYx*tsrQj4c^ti5_{V$W^j8TeGP$FEzIa4{ zm4g!G=W&e()=?BLD$sno&$#I1aT|j8R=`BQDSRF|my6>UeHWHV0rh=;s~f_lM|nlW ztd-kC8>Ki9N=a>ImiD|YGVz0uhUQfW5_*jU%%aV`yTD(6;?id zCR#=+n%5ufyZ)tM`DI_<5r&2Ykh@1mM1(kZA)|)tEN5*OqhH(?!v<~~t6JA}RfGo| zT=X%FzIm#Jxg{rDCc251^QPjru~2l719d}(nbEsHMSuR|5UXHTaf+Ha>SU*68ff=K zjc8>*o#c&TC%b<>nGgTO*@(|PhaUCiNGQ0@}BsSjB(Sz zF;k4lypHN@@TU~!m&n-VA#t;fg+T}f@)?Z^*n3TEQAxKTglIz1GAeeC{JKO}Us28^ zYM#7UM7%~}F>`SI0K*Gut=_7`fY~`S;|`;~fu_9b%%?;FZ&kvM1DZ5@%E2!cE3+pjdn@ElZX$Rk~T(q&{xdqCf{oRRlXyLU&m;^d zYZqBoos;|f-Fq~CTjW}41QJ$Zdqi@EAZZ0 z4f5c+-(^Rx^IkFLjFQk~d|4@2Bu*VdQ}Udws?a7!gUeejK_ZU(i}(GOWVg6dHT6vm zll+aW({K1qT-ncro{vz-79-ho)6&)_}M+{uAeU=#W&K^)CkiT^)yLKeEt2BDL6vulzbOn_^DA8PpT~vus z*0!YP4hhtyUx%{|3D{F?P35cS_RS^q6LFts=|9FTSKRurfsfLZ^V=uCamrfRcM%ZJ zUe;d$SvYfayMNr9M|;jaF%U5&S_Zh@`E6lV0v7)O@*esEOd_MhT&j!DH^gytgo&z^ z9MOItKn-a$p4$D_F}ihl{?e7;8G8={;IBp}xD7dHy6|xR;P_Z{odSJ4(=H6SYjFN_ zttU5MFgwi7Q~w29&ojb1DhdjKe$(LmexRK+aC&8`@-~}_j4WMjwI`@n-Ln(5F zuX3UI zE6^C%Fnp8M)M?d_^Y(Vv4272ZMJ9L2-wRGxVS>^r^p6XZiUDTi(X|@Q0jzovO<4X-2<6RWJsQ*yq}-*F zy#ITMdRUd_ictY8^R@k_8tcB$@51R;RFDxuys%qbdauX0zDL5DR*gn)Y#bsqHqq4% z*TI_$B{NDJ-LF=EG;QRgMp)SSmYUb|Zlm~4!eYiow|zZ?ooYp<6>EPv(Rv1X`o!st5xe`|6HHzT+5enH>NGJ)o+$NgBoA4R)I+Zq!q6VQE>uWYIRFqAjI$6UY4R`B?dZ6YPIQQ0Q!dR+O&Y7vKFGu+tN@X9>N{fz0q`*Vg4SRyPaAu{u2zJTGGf$HAP)q0WjR27f^7}66 z`rASTHPp<*8tG)jB(ez;zsj8cqMi=tsG)qbh0nWw=4{HW^GOY2Rd%x%6F7 z<4S$;1K)_sTur4&WYJw7&Qc+tqof!bS{v8q-Vghl7Q~54miEk_kQg{P`tABg$Z*Gu zhl0>J()zHFRgwIWbN=WVWe6QvATssUOHiZVvoj4TNf|cat&|^4tr3NWi+jeN5)oWY zNn*sP2UEra5jdF|hcC~wrXS4;^Jmps3egDuvs3WB$n?01=z~j<;@I_{dodcR1>Rzi zc;!R}CY!SxTX*u}?QE57eW23U?{Zieae`lKO=nm1n?lQ)x#gLAg6rd@Z9ZCRGG za$fC8%;mhip(yqx9roGkxx5H$0&OGduJik+& zf3}t7YMFZ<<+U|&PjIp=F+nM$3e)na+A+^TsCjAMiGO7rT58N~q;zmS$_l3&D5o0; zsCu2Mfk6WK%B2yp{J^r|2BPbXf4O6remMa`%?mX;Z$uVJmU0y?sP=?{7tv`-9(T93 zZpo#d9*9qZMu4QqWpVFk+6#l#;SzGzJ7W)~WfHZ28Y$T#9<1bkf3ggQnv6qQ6hYkR zZZ$N|wnGI&%I(es_VFMum^uO@uKeKGbPo20poRFh`FvGlD^bb=350!*(_gc|py{q+aTM${M;)ugNQ&ORY2}5yegovf(YS%^x}3x0==y zl`Rq1wB40qM?$l|XM7yi-LTE%Ej<*-_xybJ1UxD+NAe>5-hKHZL9xvCOq_EC%kh6D zp;^(qye)KP>gvG34Mm3ZZQ_hDR@>Yrh!e{@B_~f%82Y>kdM=4D{UpXO$5TtAL)AN4#x^b@W z35H58;m@)8cdLU`V1(tFKLh|P9^49Y5**vGXMIgir>Ws!p(UjA=MS0P)w}c6F@ILb zNOZu3C!zji5J-w$H*pMu0fX_g`uDiwoicn{zu)d^Bo}>}MG#fdhPHRp@_9?|;*M|EA9iGWomypfhCWaV8$wbmp)-vRIMcycJi5-(Ndv z%s6!84N=^0XBoVP<+mEs;5MJGci~(vx4F z?dcR~f0j|hvYIJ@ZZXNf39m++A6oW|@GW!J~NWSB&HMYVnA`ZO210Ysc_`XdNlZ6Zf{42$(QJqBYhvM z9=FJRCY7!*;2iH#_iJ5&Am%`4)9VtT@&4~oat!{^!jz~0&5taRek0gT(vMq~2-n`!)K2-+_KS}yD1th)MxaoN-{E|+QUpS_&pEs~iJ zWjKV3#K$~ei|m#?mrkv+wG%BIN-V8wC6Z=1kvH>2K4$uVsQT)-CZqRlMWwqLCFw{7 z2GUAwz{t@Xh|($25`rS#3`Yvc7^56rf*{g}(lBX7Km?@IK;LJ6fA#($fBD(-Jm=hT z-Pe8H=aevC=AV72z*Zv~th_|wV4!#Mp837LqY6-qNDyc)g+iY>=PfA$Iw;4F)_)%V z{dI9YtfyMx>WtB!21wT|jjh1DEk3@{V{B|7PrBX3Q5s* z>_cy;55>(12+$}w-57NydT#AEU)6)aJmFh=`nKA0Dz(%Zy4a?E72}$_b^gV%O{p$w zE(2N0D6xZy`Y@YkySG$(u#UVgb4m^8>0(R65{=^!PZ?3u4?*IM`z3WJX3RhdoNhE~*xz z1rHrUkaQlYD_SS=QBcCPbiDeg$4xCYj-`SbMav4G^bHFWH4eSK+8#~fkC~X_Faws@h&RU(oJFa% zPec{+P{m-lev9J%l@xNiYwHxbjx4ex5?cvEZ#6sbG7Vtg5fF*qoxSw^_c-EBMyD5U ziaTZ4a6et}AHK2v)8c3A+cp}1!Bow!ZTtaUO;K|@-i!gm%&3Rx(2 z7Op<8Q96*f_|TC3cCF?ZRTt8DP}?}8OECSE!@RGL>1prKFimrfK$Pi^Ef}koQ?W)- z2lcS$`tWq00=%FGb^RsXf9C=|;iJJ3&{_5EOT`?cFIXYmX2}5+YRX!4Wlho`Q`@37%n8Z?EoSwha$K|RL ztVfHwM50RDquLfCyt}S`xU|Jaoo4ExSf;itp3*81+gcniq;^(-U==CiL6iVC39d4a z{(06UT)fyIT-Wagt*Px{7U_?Ea^GEmt9_^M%1Be|hj2CP-aYy$(B}KrLh*SwpoQVD z4uPHwyk{By^wrjJr=bI|FO1|vz=<8$LUuRS*bpt0e?NL?omesfo8CJodhwL5q@Hh` z7flpS5H*BkMnxd(AAu{-rxGXp9&$tix;HjzAT+s!nXkz;dLw91+=@ChBt(;ZuRD#R zy8P`g`;L`jKY?!E(P=V@XH?C&6yI2?KJ}LKTGeA-MJ?tn93^Gk*Z`tc81jF2osZuEFQ?@rmWrXFG}lE(Xj3_T{sez`r#;doBgaSlMX9T z!EZP=NAQ3#D9(u8G*=IaB#m zjRrI44J-Tfsy6%f+ze+Kq(@HPw%oMzpuWD+V08_Fml*XTtm3O3uAcgEe>FpH9qz6x z$jeTTu{j8NJ!?I>FWs!~^j=rf&YIrvI*YAZErFF zF8w@&v-gs6ZC$bO=Qoi~?!ClujF4G)1dqvj)JY@1%MPF#MiIO48^xEF%WqP!w z8;|n_SmGwQ&-d$q87)~7pNH>Ewxx+aU4b3cnF67IMep*Dt8ejvgL5a+7>#}SGNI2s zE6l-!N3xBlls5ldmfh7HoZKhsT=0adZ;d2#aV<>tS0 z*03c(Aqlu38Mm%bQmd0rQvHEJi+`!Ivl}CoVwo(G{Zn1%c#^QC28 z%=-iS=qF)3+!#yS_9hKxon8c3-xM`q{<;X6RN=}5U7Km>(5NX_gv{ce+o&d@QDELE zq8I;5dkLM_R;HF&K`ljhqw`J*-euT%`>IQ(n@1g|q)MBZsqra+>Kp}y^o3G~gXwv< zic?(LY{s@Tv3lZp#f@(Gy(O0CwKrrtudT;i9u`F%_rbYZ=e7mP zMMB@=hducpTi)+@1Li`{skzDlC%y7(wUg$H|@FD;!?%= za=)9knW$6n=LJ8#cAb}AH@TPxvw{#;rHc8)Nj3Fn>dDdXEe(i{9!I4Ajvp=1z#a$KxCMiA5&g=DS}+zU9k3 zTMY4=h8P!~mM_Va+L86m6YrYUFbWs9Q|jillnmiSAW-h8Ei8vol(v2^W)ff5Td6%W zc`ukTf-w4D>VzB;bgZy zehoUGu<;4~?iC&h>qz-&l#gKFX6?fYo zfh?WBvS_D)h;{Q-{m98?M8#>tK~|0|mPxet2?+kH^k(ERDn9|S92kV%c~o;(W|ltb zVn}Dnb1N_j9_8$?eqSOA8$xtksl_Q&u5Es1OXJzD{fkBd;Lr@Elcf#Vb^oSJ-kuAq z1+=qv6<@Zf7KX?l(z<>*H&kR$D2c->x$_D>~p- z<13RCpI-b`_t0cqWMGe)&|RUVu|Uf}xT%m{w?h(JW%bZlG}H;H?bN-+&hSU-hrjIS z4y}!@Oc1EvX@g%Uzcbe;a-bo+UG&%<$e;0S7?D_Xs6knakIoSQES!AUDoNJd3s0vd z!Q51x)aKlL=^LnLcygN%!Ao`_;xru#4gr+VtPzHx;b>E7G=ftzA-7N4cKu5tJnn!8 zx@=4}I6B=}NaHqgWjW2YHtuUVpK+&ZA=RzyaKc5&RRH^cpPPI~lbqn=kskP6fJlA6 zTLgd2^?W3}K!gcp5#T?-mC?gt$Rzu1Mc4igr_J>m&F0s!QD)&Tp(67GTRerEGD`;T z@(wO4K%{bWS^jukpN@fdV{FIDnj>!!bSXtrgIg~6e&w>~7bX9mk3Sx+L7@(`ZiZ^| z0g*;EC4Tg-=VDwlBUJ`klWSkk6Iyuf_sQ7{=MLBN53p1<;{uMA1RlO5e#qjmzmC#_ z+|o+T{vWniA655!H&s|`Vu$eUvcW>~pL*8?{Nmt{p7c{@Be_2S%(hqL+d}$Q4Mue3 zsPvTa&ZT$KMPdH~Q#5NMF_~)sOJcUI4i{@QwO-pe5hs{^=IJQz218lJSV6m5CNim- zIAigfgVDEqKhb2?_(c0jDq1VPSna*PzI(5lCxsUiu5>3P`G<(|@2f={bq7jX%?K0#ArlCzs^h3eFnOq~qG zlPZ|IvPi`k$F&k^_lcPcYNuQ;Y^!mPIp(y`sHQmEW)o@Ptd`kiFnlx)N)&8&UHjbX z9=^l%4fJh274~&7DKTQh1QkWEl2N<8fn+%E#(@$2#R%3+=jtm@D26nyKHBj}8;U|K zAJ8>LC#lebd4xw+$Txl^APbeGM$!@-Kuz(v-g=$2Q>IEC)Fi-EQP^i&F9*~jMBS9x zTt2jAJ*6~2DaEs0V~V6J0rRe1oo;?%W7}EmXQE{6q?zT-42{a$NDKu%vr4t=)aFV# z~A@H@5*y}O&;h9F%l$v`tY4r6rzCYUVA z1aKv_d^y`r()4K ze=%C)nGx^Pqjly%IxF^Im$obJUf)iJOqz9`ZkOfI6puc>!-F+X*Fm845%fz8EMIXV zmlw8eN6Er|doT=7yy-7oq0t{V-La<#vc)t6z|Ye`8g8;B;`j!eIdRz*oQT#2Zn$ms zli`q^>*h<#wn{1wQ{!N4irC<|IAUd?G`IM4)@UT)rfaj+=XTdpGg+l)mwYxxnA+ng z=nYmnaM@NziHQ|K8d5Uf^UC95OYvnE#=4GLa!I-lEFN21COyAwFRc~U-WY$++ps8$ zVU)Fp-ouhNJfGF;2#9M_icbG^&py62bUU;*9UmvZ5|@HP7XDDW`B$GqcByX;VGPL( zvj9oA6oxvESDVi(Vud2dJ%p{dzR`Ka%nUsxUzskFJ!|dYcZuKvaSvUJ znb5F!<)^{yJ6d@#wlSM-p+2CcG?;TBxgcrnB@Opf?nvCXglFYU^QHdh8%Ud!0AQf> zK{psTm-93}+bY0cf9=tr^(mug)Z}Mdu&b%DydDpePF|>k${M^{$h?+}F(a{%oz0|3wS?%dFq! zFZ_CtG%%}f_Y76{Z{>kMy`m&aM>v(%aX9+jEMK09mZ~hMtmuUmE78>0VM2Q)v-qw# zYxCtRllQ-U6+z1!;nL5)@4F4xPwC$JSP$O9-YgM15_>sZVzgaG`)uW`tGE;@j_D_Q$F?mX6Y(={$&tJ2 zkoVdWfL{xlsil5cU5&wKaouKmX%bv^AmHJx*cn4%d^QUr0&4D19^E zTfN$I&ES%E1jP<8HBHv(_Vd-vMckCwWFWE8BIb!8l9%CP?A(j1Wuz4d6a9jxZVv=W*0C;Y1hqhVWt- zLOFHhXoHOnmlAE~T_HZIE9cyZ&Vc2$`yBZJh|5 zxjH)pY-wb7o7uB;?#i=mTe5#EPohWObUeuDd8Rg&7&<($&BmilbgnP(A71jMY9mD$ zhrVyqd{3;ELlE_UO`cCEGvnUT=tr1hro(Q>zzVn9yTcfk96JU=^g-Oo^pW1TW+Gaj zCS^wX+4VP@(#p2>^yW+W%bm(cPk^@~FV**&ya!4#4=?VQOztU%W7j3Ap*$NV2d-m- z3bKikDegp}O?T}EcEo$;iJ54Qt{*h;x~$+|F^6{ac@FliF*>QofO}X20Kk_6ZT)xsk zNb6-LvkoY&c#-E2k6-^3;MxDYnk0=`@)WBWEKG)XDtuBnPp!{O*DZpZ0T<2{*kg$|>l(wH|k)30E z5{n{GbOomP^Wk}*tr289d^sEIQ=2kGE`a{Z+jr?7kqQ*|tQ%SBxRyePEZKjHp6~}~ zO(aTkZ1m-FCV4Q`5p^B$_%N}~MR0ibA7GdomMC>u&qxK>+u}hpB#?($O)SIPLPRc- z_-#!BCDp43SJ9T%TL^H5^>{V;?DjS2D4oeH<3cqafD|L9N2=3B-oN1c(Wq^Ibbtj+U>)mX=q)Z8-yVq?9carS)>5V&|`rKOaeY*D3fS+tlQzl6L zYc(cAxc2U!YcF41A1QD-mpqG~W`Y8ZFsO(el(fZSOJM-pikP# z&bC%OL3Jdg&H3yDFEqBY{z%`L9bon*hox}C(|lDVzfidJ&*)A*ocLd;r~Fy=&hLf9 zv;(;e)}z{HL;T9ZI($|;G=@Jo_xR^>VBpf^J6>{QA^jQIjPY$Nh^+ogriNX#LdP2s zLt3cCazR;b(H?U%ivw@PM?nCnJFVWd`j1Jew1p%D7Fx2eT)@c_!HrKN>^HuOMBuNl zkgB!bQV}5KuSQ1Qfpbe25Pnn19GL<028Xf>cH3v^L~O_w4F0V;zb9;OWOC=I!kH>% z>V~Otx%fbr1Ok9R#>vd7FM*db;DFuiWRjjyS&Z?U;n^@o*>tffS-(E25 zCS%TIO0;U4$m)Zhs9{U5tRX+?AQo-Q%0E##wv=dHPNinZ*Z|=Jo+C^g;lDC6XTL z4!(jQj9ISamsu%dnu96a9pZ&jWHvDenZQ${8Q()E_7u`#pk*~|tibZH+8ufOE5hgu zuG-{AYOYOqqzu+5++Ir0%gsp!fI-4C+OTm#Ux}V}o|{8eykLlDwDp5x-Eo3QnL^3G z&!|rjGL%aalNj)7=~apwSjl&6wlT3tbzx_D(D?J;Bdr^Rd%`cxsuwc5Lq9&<=Nm0D ze@|91QJ8+Q6J)5g&VG@{RXPk1-LnYpxO;I{418wO1b8 z&rmb#$4y30Hg}#)cGN(T%W}oV?be%%KUV^~tz^|999}n-f6teDR0!w`c_d(wN$wDq zxy6i%pj4SeOSS&6c-kV>^X~EMlA_cXe_Gcs#8}^SptD#DUbSWrNpdFbB(-TT%nbQ$ zO+lCq8P`+@WOB(~mz}x0z}soYuU*@3rz^Q@4!(jcHsT(%j5fVi8~WgnZFh&DQ=u0G zP5*bVP*P@Ug0cqUPS6uH%;WUXi#E->W3%~vVdAZd4#M&XuI~VWuHBBAkUc1iWc0k7 zf7=NHh$q_1EyEQ5+3@(V#N0Xa7B4YOmEHKP^O$do7obLOW*;_?w#YITgPFZepx9D{ zOH5EE4z2K9gM7-DkYo8(d+s6P0Mg7|NwE&a`dyRu0ONHX4TTI}J+ewESUJ{+?G#L) z(omU&$Jfms2cvnzBAwP&8Lmg8D1nh+IX+AW`^puW%i42tfx=;dp zW>uK}x>y&thy6Vh@FJqqcG#X&(K@i80i!Q&(iDqnpkMEa)4%_AenrCur%Cl}LfUpd z9B*yJ^D%a%Yh@he$a>_TqhQG76Pa`lg zJ3jlgN(fZ7_C<#D0Q?7lr z5VAu_kgP#ok8FoK-j(s*DVFd~lMv^9@v{lYQvS=EpA4Onn-%nd3yxP5+OMgIdT67U zKacY<@NfG#wHe!4t~x_Y*ha#JhQ^1tV;>nt&wNu&7tYi5oC|-i>))g!4E(qkedcj6 ztDOdNmZkd3bd+5MAJqB3K08z3W5-U&g#RktI1(o`0mK^6#dKqX53S<0#8Sqo7y501rInjevMbAiuHt{Q|8qQ%1PDsY zx#!ldmJ-))+GFFb+Jb)(;XjNaLHwYbUT%?XODOo|@rK;NM_k164K($zdrH?OinPFx zGq*VKgfQ%xFjK?gQ=DA5hn_aGSSU0`c!{!3ecB<1Q*UD}RT7;cOR{iyf}k7$v7r<( zy-W4j?hL39Nuf;QHn5n30k4ZdQ=*W(2A8%PJZFo;%9LLX511R?Yh4xJSXwTrh zz*?kfXx(~f&OUdZQD1-L*J5vXNkD;{&Y(pf0BZH&k~Z7Rq@R2q_t5&`m%9qr9+w7r z)7@G6w`p|7z;krn)!{P zaTmB$W}p|z@I@>#)z*fVp4~#(a5R%16KzdJst`}SJjcrWirBU)uBDUZU)uT|o0slh z%=N$-(vTypz=;zRr;uL#491Vc^<7>wa^E)iHoI3qQP%Ce_3t;BU=WvaT?oVfSGJ?uQn5sgfN$o#kWH&-l|0TOU zrmUWQZH)sFe>`$2CA1e{J|_ztn&N~=HVe`tDA`EfsrVn;G3Mot*YTa+kpX%><7FYP zLUj8@Un2P)b%3VyTGY16zW#OyE~-xj_}gqNOlD75T;SLSsx1U+ha&g`-Ct`7QFQ&N zCcy^4%&Y;2vbOI8Nq)y>&+9r0HqAE;f|0h_p_POr$Hgx%p6bTl3dV@#KeU4MYHRd=}8}wxB@8(DJydja;R=ykZ<$%vCY2+o~NhravLBm1Aeg`OWK#9Cn|LS z#tMB=6=*z!iVN$Jgnkz1gtfHQzmf`G_JG3zIAk=twBp}R za*?coa0rypMx7<~h2tC7tX%!Kjvf$7Q0smkm2~n27uzzD^XH@ z9u?O! zM^amD^NQ#@BxgM#6=`**a2i+77pATMV~0SVawr%GF$QtL@~9X=4~Ycw2ZKo_D~oN3 zy4>~Jlkb2FtsQpvM;P=wIB^yEHW_bQL@yU*(j$xfe+BRzeNLi|Z!h!Px;aC?+|%y+ z8RP2L{MId|sR(mTfxf()fI}wDC}#mtBuo3~wUV03p!YRQ*%-)VS)N6caGwPyRwt7@ z7$T8>mv zQ?YJ;qG+l}(FD}Q=8eBZ(hPzw0H70*RoGg>jqCO#kAl7W`5mdE89$Bh0P1w07YnYS z5+S`~&Ly2t{kH$4fS3$m`Am(4K<>R=I9^d#e?WdR^24OKSIY~6fY@idy|QbCP6f|#0rSE`sH6qo84qzUlxen zvih||JJf6KTBnu<@Ll%jMTjbTjS!V!wWE939_2me78Zv)oVhF<$+(Ut){Jz*X^{+OAVZUr+!!O_j7m>>DSZm>7n24K9 z^S%bW9i=ap)a^JrNbHdd$C$cR`7SxM_e=1D{6dXy*5q&w`-WTf>v<@JbqRm|~|eoS-$Lkh6IYM6g!3) zu`XgKmWPZcCe9i~ng((5Dkx(Jh(8P6eM51f`;4HL(Dm~6ft;1&mHSto3lpWIXD*b6 zGW(F^5tdPQPG5dHwEWATuS`f0vtAcro>du;oaPkZpA;xPW!F*|fmnW-7=Z*bf}4DK zb}FobvG(sr9hVJ`EEhFFec5{5<;dKi$V2)nO+#O+i+qg-WssBnUk9r<+FeX2mM*a; z(+94kAiyf+NcD1yH(cV99ts18tPXPJeJ)LLSAnJXf=_EUabLgpf9$oF)6jty>YTf= zipebV1KK(xDh@akY8T}zOA@f>VjU3x^@Jfl6Ui&~Q}rY0+x2Vrr)%f+m??F%chh;i z;k;_3>9g>|Om4wAd$*d>@OB*XJH5HHoiTuFQHcXaEUo26N!y zYc($&^#8pAAYrv{ekO-pje6TW(8jo$3W02j1?#-z14!5!0vMiTDWI~%33cbC@2lHT z&-BMY%jc^t-2QNhl|#wbv9+mCD-0sPwu=AvR`$I;Z3N}egQK)=G}%;liuui+LkO1PE$1dQP-<}9luLV!cFzV#lb#}8n-5$}a;Hvup?q-85#r=3-erDB{`TC2H!aZ8n zwR;HKczJE6qr}O-wo;bKEt_7vng7AX9=hy5IJW=CUJvRVFDa?sxmP8WbX+7Frp@Cy zG=a{}l9T}ihEtG^?&a;z6l&%~Gi01UBiGxI;@%=mnIG0Gx#4s83^{Nt3hSjCAd`D9 z)2kvxuTfyKRo<#*>v?Y{AWzm&Z=g(tWe;5+r_!7g*3a++l-3$gwU6~KLj2M7RMyO6 z%=*s@nglIsU7;($%oP|HkAb-xGeg~YlHk6oZ;7)$mowJKDyf4Yqh5LyZ?r8HUKUCB+%kIIVXYjR%hSF>8L#{(s8f>4l`<68~ z9+-7dO9HNw%i=_ly1Fr^^yV*&It49KjUxW6+)z%2h6Vr5WI2)mbXfhs#bl=SzzGAR zt6ndv90U2nHWUjM{>khM@}qQKV`q=<-PJ3Jr;rFao~aEazz{L&tp6Y#a>U|)Gw$A7 z@{E3RoIJR1Mpqjdf{_XKOc3fbDC_3bkxD2pquTcFLeKJ@FBF?VOtsi`g4cXAyOE<= zEh#AJtoDY8-FPHa`R|uPahOoyVzZ zKeGw@g0U;`hwy~wNWN_Q z6mwrzU9zQGpVFw;wRJ4+4yk}9_@g7yq1rQtqIxxkq5va2gcUddY{wkkqaF zXbi653e%W}Fz2Fksg3D-=5~rS+zTt$_O{hkX#L=A=d{OnB>)uKL{mp6JL(n z7W=}3?Y{q~xa5G7ic3K0PDCfir3LN>H=5>9dO2@=Eo}Gk;vEKfsw0U}`Rr7=>1zLg zHe&!Ip^WX!IjaVlQ>rvCO+)CB-!0f=8wD^vR|2F0hvWOyzG&KMw~k~fW4abvn%-0g4>ud7z=8;zyKkLx# z3_k{!TY@8QJM#{QYBIYA+$>wn9;w($7`Kl&88z7rt5UWJ!3$H1m>*0yPU&@!lhYvG zE5EH53R_Oq$KMy?^5q%7F7DDMB2@(>x&1n2G*ycy(m+j4aXq1NSubr?uSB(>AfwI_ zUIuV~Swam;1EryEnUgzg7zNv0e_32lr{CUbBlqteaXOgi7u|;YgnnS$;Gn#N#fw+P zj=c1)HSps=6>(bV*q~(BRd}C{q#!8Se*>>Z}R_QY9*hcJA0;K+j6F5L7RI)?;X2Xx4uVyC>d~8DD+NP~$~C{9{k~nOq!0UP z%Ntyy8GgnBdbzombD`n@Kxe^~su-69h%f>?T}&7le(zye9FJngHWojR(!rW2-e!3k zWrDEetI`sEZHhgKu^b!a^tpMa!G+*CvNc zp~lQyu;*0Zc!#J4`unWVjT@-(4Xde)co@5!49fA-GIDO)<1BCFZ>O~i#6(}KN?={G z4tY!dtmn(vKD2V^;$g&T^3%{eEMi(x3E+YO75z1UKOVer6NVOvl}xB@zM9I)QUwBf zU*)PzkkWcSeiaPD_KoLd$L>IpCP+VE%&6)aweG;QCB5gB;)>y+2OW@W3Mv1nRvT`@zubEy3%98JudIcZFoW&&{p6r*+1^4{91iz1Txp zuWKQzz{TY}1rds|p{gm8#ge>enJG`1s!#)@5>H}KO-XLwl$lZi$r)d2goK}@jM)D- z{9t-YC!8XWOTjG8=LH--eP@(#3Wy@U^WHZ#cI_c8}s3Nm@mJkC5cKI+AO*0YIn^ARLdy4HYF2$q%W7_CJ^SS9%DW? z4g_A^%oce0HA0#U$2t;41RB&q>6_jGU>St5Bfa>~c28sZgY8^hRO8cyAUG2D{E+I4`m3mKAZ+MD1)K+Dd- zf#EoG1sL+ukaieFO$UetkAAYX@;WVoIPdo+D@=54F?nn};Ch#{o!Rrmj+tAv5SYTV zkr0woDzHo7Zucf?=7BL!y>~<|bS6TcP+Q&fy6+6e=WJUvhKYXIylyLWE9tfubj(b8WI~_ z9tk^s)TX;1@a>LCi1fU?W&^w2?Dg^j*7j;wnPJIprI^F4pqeiL9jqf72GAhBB|W=@ zDo)R7&Am@HfP@d;l{F5^-tqDs)NL#&@|E-?@f!(UJTWDKY*s~#2yOprJHrfij29$7FP=IIO zUG~j31~h`^nL>$>VaYFJb?TW-A85(?S5h$hqQF$uka8+*{kqmAL`*7erV8JgJgV+K z#`CVi5n(MB}0C<==u)$Lg1vg<={6I^^HestkYt61q8M z>a86*ZT1Dd}350=zfK-m%_CPWl1A2Gz&DL*xi<) zDC@;vQFmWI3PL2c5M_bp!E@V2eAh#U4?Y2<#v76fEk&9{FCMOw@0@Fc1}}u427R0W z)cCjx@wkdgk(cPsJjgP2tVe>%Hf-~(ctpuu0fp(k-N3h^28iO&G8m%lobI5Y;k6pK z>25Ma%L9#&&{n)vEVRU*Hx=}|tPs?kTKXYCqLIE+r@7vG{bE`bj~?@KWaR$UoK@aHO^e0O94{Ko-bG$I~h5LSTzkT_8lo z^KDxe3`ov7`NOSVRs~5d@~y>IveWMX*Sffy9;4*0=36qWoF}t5LSgm$mCtcnASWxw{Rg!Vb!hNY?x#{fc^1Fs zKUG7Wcm3bAQ6o7j}oFHM%H*)|DJ&k@|KPTH$J;#*jc0YsU5f19`vU@hCeEh~ik7I4<$goti9|-P`#NDAcKGsbxt!3ZpLZ%V1NBU9;H^{%}$}LLA zQ$(t*@C<1OLo7CGMOHLa!dX#JMg-a#Lpi3=iM1-1CrU5-mM&MEdJ`K|^Df$kJe7n69Hr{8}z^2brtuTj6V5tt7KT8Z}^oAywF`ahw4L^LMo zV{|Dx0e9DY86HVPDXJ6Atgg?Lu5QD-_pF8YKCI`X44>_l^lT1w`X@8D<&r80P*N*2 zdsWG!I}=nD+Uh?WRWR=NkrYtY_8N1Jgl(R&nxS zS-a)6o4dmfx7}IkcQwEMXdX}AUI{E#9I&K!ge=mk=)mA9? zumwk&-w&uzzyUQ5f~-{XDS5yA&hA@NQTOfxp(M@EY6?J;#0)hG72*Pn$^f{T<92IP zp@cM_Ga=Um#ZPvex#s_OOMp*x0lO%H2*#KK(xQ4P`RZA@k> z)V5QU2IS=lkn;(d#hr%0#u3~}YMsBnRv!Le{&XWW?M-{Gzb=?j&0}ih7}swRL$Cme zbzRqpmwV7w@3JH0bu*-P#Oy&yfQk}KVra;;H61-a=m2nHIU8BlR)Fk23q<186`NCB z4U$E9^1l0el@?`NK|BTY0~)!a7}n(S{oSg#?u#0XteOMVgFw=oLTID-sI$uRWo1~d}2E#os|%d)6+?~PT;y^!9;O@0gqT?YJ7@I zBiA!1HJ;6v2e-%be51j+v0oRMG*u(Ues+4vj)eek0sKA;D9lo&w$4;;L^~y`Wf$t@8?mwGFA~`pivoeR*+;JDggl_MqP$^!VXmR-U60Od3|`2P z78uqw8#SLVv?71S1zAX8=JcE*r!mN~vttAXkjp>{Aj)$xi1V^f^o4T=_#4}HDO|1y zKsed9d187d)tXaX0FhPPOOT+JntXDTY=0hA!5ilRZAZ>W((w0xwC?{o{w%rJ-u+AC z@#RZJzUoKnH(=;qCZLtC2Yy__W(N?(IR!SGqzwdALLGb!uAWJYDj*DgWiTMEy_U0P zFe5%#yTMf_Y2ePA%mg&X&W`T!=`|D=+7g&y0T`wb`wDz48m7tWo-y|+uK(2B&EK8`swK4s zxNcz_Kc*)9RN8ix`BlSX&@#_cP?5v=Zbl)`KH0@j!F4@2ML#I@hD-(==tco7%uu7H zFcYgQWqv7Q#wh-W^jzLvK~!Hcsl(;#Ol-`UNT?`Gu-}G@ zs0oy}@&KA-slovFh;t^(vk>BpYVH+h%8bJ++6R!Mz^+d8);bm&A(aR;@)aw(a!St{ zTy3Jbt7nbYJ_8u4xY2r7ti!P+7f4Jj>zYzQyJ}UTnogRy>7bf!%Tz^qZ4_31sv%nc zp?fk>kt1))&i~!zVbq7Z*?gl;py*}IESuH^BDS8C+Ml1 zrEq%oD^duhfI`-QJ{nNwrS!WothHYG@SICn500=5-ii;PjI}!Xj@*p0mPcDonMO77 z)vz9aFv%)xd+KeMku8uzpcwYaWSBie$4bhZvj=&*-wOa6Ll&ia$h7E6Un`wQ1i~2? zF1VAyw|p|As8hTgaW_OUHWm40l2R%yQ)4h+r%K~OD`8)%rRDtMa!DBX&|roLlY4Q< zs@rL@#wj{>Sti>ky%*>{eIT7PA@pb1+2(f4*REv-_2DTmjjVp#dVi-g6|&_Yr$3b* zMjYFxj;vbS$jrY4OT->`;jCFC`m7~z04AKwNkCtw;8C3u(x(NEPGAX?e(e?w6dK=i z%H`&Czj0&%Bn*J$XrmTYu7R#y?%zT_8roHl?k~|P3k7;47HseeV3gi%+F`E4Z#?p# z%2B>hIYV|)4CnzfZ`dnw?4IxWj>=yOA9=TO>(hDu{l6-ro3?E)r{!GKac>JJ=pk4f1kDzrRc78agMX?2lL14tVzw5qoXT0I&1B>;g1^Y$Z$-W@hKvc zW60i$oAX6#!y=y}Qe9kKL$*EdzF&O!DZKlXKlGabAMj88&wkn=aN}Xd^9OH2`UVs_ zg}eVvrF6BXTc}J*8;LCzVL(K~oi%~IkLA#^?{X=0HZVCCWoNLz14M3-+2sGV_vYbH z@BRO{Qb$r$DwSnUsnoG0vNPu>sf1IV5TXd#x3ZgQQIhRQNR~+|l`T72hV1Kvti#w% zXbc8p%=Uf0opYc2{(kO1e!uJb{jTp{-*cVQK{MmEJeSAg@qE5s@0uIQmp=srgi&nv z2Y82XiFmSHv*`KEp>vsxu*cO?0&OuU8aLAmVO1;=j5|=%js4z6>`Tcf$ znxYyUo;>+1H>e!K_>qVj^%usk3dWuer5*MNHa?;K%o92~TD>no?@h$19)BPKv0fIr zHsK4urM0-E_4D7S21V@)@43C*T<^*|z76gte5ri*9YU60c9@-Pja$&(v{cx6TRg=c zyz{~#C_5TQ8saBjXEo^m-de$-NYv&|Jq^=SQ;ty_Iu1QSC!glsffnqiotFsK_2&F= zdUtWYL$LkvtH3wn$J|$H^9~DyZgWPtJ-B?aP@JuKroT%`#{@)tze7&!Pus#aEZykO zy&82~+GzLjPSryvp*iS~{-IwN+~h=UxRTc^vF>}z(}v{vB92vW-&mfj;4Erz+F)Mx z?#sd#{jN=?^#&#$fq*sNm@7xI)OFyq#X9Rgt1WO;h>&^L9iDL84mv#WcOVi#w7Bv4 ziu;H=pHu34nFyIFk9e1xMBn<{ge2Y&4T$0(#e9X<&Wo0+c4bE{UD}?)e8nkyaQN~q zht}JY2O|%eMFiLGTWkhEd?eK9dX&qzL-0B{fTomxMJT_lxER9i_xL?qBT&1&(MsK^ znGkk77`n2Zhris`-6i_Y&P#4s?Te|jc$~XhshpoymxXu7ma-z{_I=?g+%hc7eq0zM zGR6H7*A>XUQ_vG$oOh)X|8+bi>g@obf5l2at*i2=HRW0hnY>AriKDGkc=FN6-O(Fg zfBjKWkXpR`;hSwv;%6UGYMagBRZ5l?&+XTXJ*wHpA%+1SM3*zW+|hib0Mcr`iXa-w znA1jNd(4!5-{-s1!)raozSMx>mixSXCCfeL2`^rZbi@kcPCY_K`z9BH=&iCUhP&uUXR_py zfJUJB)Ug|cl_`D$K{6k;JnDt32p~_;pzF=9y?5Kbv{k>%ytDC8kHo6@^3>CijJJi6W+@y@qU#^$Z57y_Uy)REB`EUZ^$T9U=jubdcj=YA%Q8wQT;qkd0nP}BSHr90O1?m)BoESW50K&b3cbB4<6SP8`K$bx{d0awXq$G)ho z!Xslv=RVKM@mR9PM7&yLi?>nB;QQ5F6jQ-+tuuach>D5#!83=-=O4-6BDW_?Yqys^ z+Y(DFIP2KjzVxI(-NtyzqN+G^@WKAFgT#SPHkvY8(3GtevFXv5@#Fe>ac9$AFutBE zL1}xVYg0Ehc6`vj_OZV#zwVsYLHQrAw&|b0WR@gwH^ax^o5Q!g@mv#vb#}i-yRYKp z_lt(tN^gdSi`$#}s+KC)hO$VfRsU$o5k32*inl%Slr9QA$AFPk#5 z>X^T;)TzyDD;+k7d7`R(Oj9yqcUo%f2Ol`uyeE%)KJy$({=$Q<^ z?ISs&)?-;|I1|)(+uOzE(_N)oN@&kaJy}J~xkdgJtxmg-$z7Sp7tcZ8m&2|1V6gtp z;CeMjlaej>2o{jwmWUG8YXxsNpF06Zx`rOSE)YwU`_<2^@CCH(F3AwjDt>J4nvT5_ zu*bpicDGID_DQtdQ2&<~)!jQDw$3gXKOXL|CPeNP($s9ZqhViU{`de}ck@RhTX8^I z{s(sIZZ)s2GoLkW`4rfafU)|rvH1gDfHph}-Ilv!1roRqGjt@>dTRX8G7fjN3)>&{ zIrpqF7~tn(Oj7ILp!2LKKk@9W*vpyGc|NG;*-~UMUX3e=62ujRe{v+klGcIh0-QG)9ug=uJEj!y+Iyu<< zTasq`S=oC3#w~?|F@5gS-?x}pC^ZA>jJ!xsm{GM(E48K{yXHJE@w9W-euGo*aahmu zIL2PHKVLBW;h252?!|)3Q{3-xrO}L5nlJT3Qq9`NErqpOsdAr1l_oD**JR7yow;@< zZErqY8RmZg06;q$JAPA8Z2HEbwkOMQ{wY&nyHm`$u10Ifk9K==1I&e8F22VJfY(VYT=iBXZx^k^wBwwCrzhRMh6unv|CrUwgA$Db6^7( z;i3j0(B@|yEk5U;myMWS(vNJLSP~G;>nuxEa8L}}(B>uAHLTTMGYd7pOX-&c64(c0 zDsH@qc5jM2YUXs@=1}dStYsQ4Mk46bVXw)Ch$^LgQD^KayB z^}aI>t+4@TZ_AzZ(343n#9%7NUVE6`t#PI=MI^!h_lQK~^u2&4j5OcDJ;H+?^!ti& zT0IXb%7^$%*%cl%^7)~qDu3U6D*(+<1lBN{IcM#oX%taHytF!&U1~OFFtxYi)MM%>81g4zM?M)M`8>uqsggDfA)N(nEztm zaiJ@-;bOr_5Qo2v%i%^wZsAgvzfIXz5g<|(h1=E0EJL|3dMy+?xFirolPFhr`H6m9 zK+!CJ{Ec1gvJ8-QN+z|#nl#%Yw{@9IEv4?LD7S7g{i)f@`7;3;bvsq9nWo9IX@#Tv zo?i}I3%d3rKsMorP7-d}9aA~?QT(Ek#E5CSIz?GH;>m3GGo@J50FO z0q1)2(!<9q%e5y4T1)Jx!Ox$V-<%y~l{+~-bjs;#j>j)=VgK?Rl{|i5<^l49?5xW) zgDnT!yWw!GSKZuRknjQqT(bLy#umd=re41boH2b9Fjs2t%RFx6*SxVIrf5wJGMSr&O|YMH1?sZiAcIkmt716hUiaC=PLnvRWxLyFeJfZQ;3 z{r+Gt`pVI3)}Y@VhiGs-OEN-I!mEE%JXH)}C_7le;`UdT&fe_c9SvC_G_PleS>L>} zr+9Iky%n4f72=KwW9cbgr_LYhj|YmL{rqwbeh)a?UZ-AlDb+O!MWs~_CF=1qmj zWV4qc5>MdJ4QoO%=dikgeABY4jdq6ZJmg~^UuLJiyw-S8z{-#Pq)IM_*=tZGZY;mW zx2QpD_~nlb+qWWz?+L>#Wof6>D}J|rcS+#LO}I`A>=n0Y)}8+X4l*`JE~xWKX-vG8 zjQGMS4)1p89up>oLD@~Yr)n>pP-i$ac%|+i%;?DUoHdOIjb3`5vA4joL~Z5~r}Ers z!-H~z{%UCSv_k4piWGj8C*&xz#-=`UA)Ktm$Qxxt!J>VLh2L{jW3$8F7`lFa;`B?F z`AtPrc`{i`!>oKY!DN2Y4K-nfnjR_Flde0WabVEB&2Z(%?W{giBsi4%Q&r`$q*H^8 zZZ>N+RqpEKlS6H9HD)wv16p7KHg?4iHw}tVMyemy5Jj%v>DXU9ROr}!e?^RaM10&8N2HPvdiBeNuYo}vuR3Ofa?9v0d*%%KKX26N;@IIy8v1n zl5HqShYgM`J_xn@<*%1#lQh~VMG93_`%gFQ%+7?Ca^j~1ikI?AzPV0US62-&qCUZ? zq8mc4vwcMb8H_tcMG z2A#kyrR~%eh|e?KX0yc46|p|vSiY;}x2afFD|n|hqbX_6Y-nq5;cx8(9T{{&zO`1r zGwtfexiBTJXI}pGxbN(R$G6in*ya1or0W~x%O%$u&ru%G57su_vJ9R4nRX#bS`96b z>v^mF>GGMW*_mf>CPP|pD$~?Rxg{|69`jHezBOx@ipwQArjTLBF2{GP5n380LD5sa$+OG;;o;#)-b7dW>UqqaJ4+8Fe2&i?xHhY-8+14~@BhUZucKNvI#tz) zSZS8C=WB#;9z+J6+Lvq7U%!6lz#Ca#XkM3qSwdaD6`B{%nOwiyJ-<>J#B492K;8-| z&M9APwiS&*^t}EiMCJ%K4S?Z;IV;A%5?uEgx?5u>Z^c=RCzMb?!Ps7veZ8!&B7mM3 z1>rTgFLV9HI+cA%JvY zJ931#@A?0D>v3v@73H@~5fpc|!LKWkw5dwKa(*L;(eCqldEr#p^t6NJ; z^iTiWRxXn5`AcwVCKWSR2Vt~4gOIe#$M)phXowUa1gWN+tVJD#bih+SZQwR`D#x$Q zQSd4 z(9I3nD+-ltikqT_M$77|YOfVmOFn2?->>;fO5VU}q?brpe0~3RI7Pu^paD_&uYSn& zHqiAy;_hiPkHQQ8{gYr-QU3L7_5S@+eK?Tu@9*HN+FgIHw^#rBZMmBcub;&E_b170 z`2Xi)?%yut`_x}Sad8{3L2*u~4BZjNFG}M*>s_Rzq!=T7=tg@q^V$l9sCQ|%#hnga z&E*e9leY2!`%Nr7>aL*(Y7KhYi#xT~I-)#>gXkR;@BSheQ6t|k!mHCbjzh|7tyFfS zcJ1P|CbhfpK=s8L6TJVWasRb0Tsw}{gp={bwSFihH%3dc7&xvPShR?c<~$FG(02Jv zS52ycW6f z&GNn*R7k#(=by<`EAC9J^Ca}AYf&7;)I4upB9g$EoQXx02NFik+T=xsx5C7}G6nFh zOcn5v+2kagk&z#j?I>iOzgC84YFN@g_ijkK>xsM%F*R#{fB$M`+OaWNH$MS1Ganr= z5Y*bF zgNf$`xK=XkKz=kTYlA4!ie3hWg!|%_?4O_o)2jd7A2*}tmY;)e>NSpOtwbz=x79J6?03nhV9TgZ%z^vqpsk-08aTz%B3enBJ zH~V_ce{TC4qA!pZB7Jy11u?x5zm{P3HF*B$Q_yCO3eoxrm^e2qlQ?*%%YX$BAUxvm zQf}I7w`j|S)_%93S@RkqcN)!>l7KLV^I$G4EO=qI<@zPJkcoAF+We?LOt#M@HG(<# zcw#I!$r}%56_aLA@C(*5aw`2-sdOxtE;3joqtC5DvubK6oLMY8N5GZ#Sf#w$DrmWz z(-DO!;7+OF{hF1r>|U(aU_+bAa9}e#CMJf%AYd!;Ycm<_aS6IA7iKKq0*+xCp*C4T zCj`xTvAa#IDA-XE%xHPNte2yUNBedwD#V~%j)2wbmj}cO<`7k)(#_4kE77pTElbSl zmMg^5L7JntcMqD;WVB*p6;y}?&zcjG(DZFq#xu+C8e%m}61|d!k+b$P4Yh%Xm5ibU zQRCom`U=hm%jx8mzkI;sA0J3a!ing;e3$(S#Twy5mT}OtMfSOEsKQhxnij=fjru_> z7P<%7<3suAb~jbq#A8oaDZ?C>`uh4$J&3K+p1ZhKEF1rPYd?1&hdpqd9tHagyOzi^ z;n(g`JX9pZ+@bGuiu^~}ki;BWA^GDwHcN-_eN|+Tu^jR!#RM`?`cQVq?fEqHS{hH_sDRbT_l~q0 z<_dKfEyG^;VUJGC&CT6R_o&&fvQ27U3N}S}&irZ6ledL0y|#`JhdIiauN$pX)k*e} zNE86=LaCgcMAjr15Rbq09q3B=>DNoU10ksK^|b#rNoj=~SZSjTI~o+waPXjVM7e$+ zBCPScug>4BWKGKBx@?}b*}RQ>>&3)3S`e(rOW6)J3I;* zb9?bHMgy3X)+|9>)%}JqbHFJF7yy8fJv-E|W0y0m#4+5IfVur74CFh{`XJ5e^F{}> z=PXthFH=s-WOXN9ac6B3obLk*6+0`@m}C}!c$HU|fyx4v%f_QHB^u)BoMG=2a@BxZ zPvhXOmYb#It5>hGa=6R*d+yHJy|d{ou|EixWlv`lzWmvtS|II9GZ;zR4>EvESvxJQ_ z+O2Eh*>psctVS5!ljFNtQc^PghdG!h?RmQ9WF~5DDsUmpN{p0}h;^DYmGsh=37JeW z;jZOy)it$oE?gR21#6+xTD+^_%X+-o+}9$HPvS11Ieb2Y9(?~%VSOW|6&hdh!&Y<7 zBT9oVbx=8(#tsZnhTvWDPw+n1P9Pg@oRglQxM4NSaLmn{X&SmHP2c%&;rY=JlmtmT zaCM#^twMesCZ|3=P8le4s>c0eagp{V@wQC>)E)?LWca0cQ7h=4@ZX|6cE!GY_BvJl z<|)s)TrzB()m%BPee^*KM4&c!NXY#{ugvIDz|Ee73_S_ITh%zL#yDB?bI*cbAG<|* z+GPfjgq1Ob8CStP^ezkf!WPn6+JRz!*JI4$IZl?#A59h@1~SUE%bv822cm~lBE)P| zVI1(e@Tu9 zL<#hTI9nbhX{%9eg^P#0MTY@0KejTtdaC^T?z;Jv!Ae7W4x5H`h1A*e`0a};^kFQQ zKb{@9l!lt*uHiZINOpIp6!tE@7O8k5gqeR>zSf=dlTJO;oU|AxtbV>F$qcKWEQnvy z$19aDj-EI2-z5*BDTMwX(`*}-Gw6aj7Du$2d#EEm*7EAgg#`^fO@p<7;wliZ99rqh zfD@ybyE433R9q1u6!iUc&Al%OM4OMz37oV@dAvhk=RacR!AN3bgDEmgB+(;LdWZ2* zD})173t|2|9U^!s?#M8gLuX_SugPMV#n?pHhHY56$njAZo7VZF%QN9oD)^matUZ}; z`$9}bZ6;q!DJ1eMZi={eN2+6G;_z;El3XSwp<#@MuGUW&EZJoBh+dY-)akp9{FS7&a5jrH1T3kK?k)Mq7T~lDiAg z?LV1)tRx~Z9H_JUtLI}#I6+da-{81}&zB4BMJ~kEIxChg2jbYv=;-KCda>(}dbt)} z&NQc2W89`Kr%Ov+{qq~<4yT4k?H{}rfFAk#GJ%2B5MkgU>yXQL94giKG<@bJiiob` zPo=X}ZHa}R{{#}RelDwFpQxz$H%{GDeq7`uhnJp=$#~w;na>Fc2}iKo4z{29p9av?DMn#dM}?b%lbo}a72Ush zBSC&8iJGJ?lAfU<1?jeo)~@jvmi=%Y! zW~jtsYB-aG$8zUaVofYdk;UsRZT}EJt%x@Qn1&D@#x;|JQ4(6P(rA54NHQx32JQtI zUUP#foHDV~K9@zc?;P>;-ni**PpNuHe=toW-#4ssH zmPgO708{4Gx%PSa&)CDtd;i<0M=I+n!+0Eb(TXGB7ClU~$8rlu4Es^kxiaccHvo@I-BOaT1AG3o+iRwR8YG{CWzRAqhF2pL=Xgi{ zLJX{N6uKNREafwMh3GeHK78ToRUTGf6nh`yhwW<{oc|49FC4Ec?6nlAGQqE1ZO+rA z6j?!)@NuzQ$>`&CNYJ8X4@t|?l09QW>nW~`MPi`+;L6w3(>3U45|DIoU!Pom68m#Q zUxYqnmx^eRiW*!dY%(_u_Lk(yFaWGcu5$yx=1T>{pfO?GzMcl{Qh{YqOG+T^^Q?YL z*VZi?vUEowT8iJueLfyv5-p{80(PwCa_a|3{KspE_5*r3z2ownF?pUR<1bK*Xw-fZ z*p&;6wz3w>isE|ooggE`7(360{q+9b;eX+S*cT?~6&v(V!2`iKpu>9y>&;rYEF4$( zo~(IMW|&Z-^<5cyQUzyiHYB1)o0dRG%AEt=M^e|!DIeJ^Z@Of&CHMJ%^3<_2qRacF z;WneW#TI$;Oa`Qbo@q8@j%H;9UjWp`^9P60Azl4=?qUg3;yrQdR2{%i?<6m&L9~`u z8}jwfo6g2Np{$o>>yrFAG#t9sn*&&`ewfQ1#^pu9!WCLE3vYhqAYqSK(~CweBMUzVKYQfP+MfH!?%jB^=S4sMiTQ)v`5b0u(u7saFV=O~~%%^dQf+DFfT znH~9?nLQa-o>4Fce!}a9p(XmYIa!`gA(#KKl^++uE{GsW?8C>WV76gM23zvi3Rgh* zi-30y2NInJLKqOB$60aX#y#W{T7=;|fW+hu(#1jwz1)7^z94WPtPbPPw}X(CTDi!=>F*l$ZB@6YUu=|XiFWZhH>AVDrkE=j@c!MvWT$fIoRc{$)$pXm2 zDm(uH@mqPF>LPH^o?Qxbd%MVue~}mw^_B;I}L`=z;(aY3MyQKJ=7EhjN_A1sJ0r6-Lnoz($!mj4TM zw%y8?u!+T$Va{ZhFk_j;Vu78b{380>co&XH3Sb(1IZdj0fCjkpZ$iJB#3Sr?X+u8+HRGSe}H7_ zJ2Y$A5Cqmgz;+`RMF0y;W>L9JE+&Pb<7^kk4wP=_Ycu#eJeY#!7ib3o+>rHyz>!fI zbmv8&8R&{CAwsC5kv4J_OP7&xEg*;woHWS;)n*q%bS;a35Rw-7!v-~ukh%Q){P3tK zFZOaT4PwAj@W5b8p-`@}3^-Irm}PAYj&)0WDOJb=(les4Jbis*wkJyyddtXCm@z5e zcCQq#`XE5xqA(e6%j%U!|8gQ@YfCnqdlQ4|*Ohha8WX{*YHC~gO~z`1bCJO%n_jQ| zvSmXH+MYf))MCZ%wpz%I3JTYlD|v|68R$1(os~wJ@RJFBg){?Gn2~WPmEz;N+9D?Fs8)tX`vCV3I zh1~gl1Z1+H2>eal zL-F=w5{KInP3X#;hUdfni5EckfhTAozI!d=+z;i*bdteO0UwsaY)eQT-6NM6WDbix8bi* zn0g?9SZy0zz8|rW?Nbqk1WGAq8j#IdM9L2Y&Fh_vKJcO9`6eUGv%}|&Z5k07{oVYi z5Y~5}vm0a@q+)<&4s(iyix`7s?FM8ox+vZZ6n7ju&myC7QrZil844B$H+3o@r36@T z11dC~h?6QOfbEfm&S~rm-XRe4FHt|S53)4@!WK^nxF{nPwU*lDns}I>JBnt7jP`=s zClVJFh|IvQ5CX?~<~*UT-A;oP)#b_zx7W1sWpbEQtGQJEgY8K5Ak)T&&t~L zt<#NQUZ?tttd9hem^zD8Hq4$I#gLY>ePkWc$ebJ#xOxoGKuhvn@%Dt2Q3}u=*%oNw z(Aly9pywpwQ%EU-JBeq-D=MF+(3v&FONaNod1Pv^D0-|`eFZTkphX^_feDJKRzXQ; z4@_pQ%az+G88!b_K8XKbM)v2Y>vH<0IP9be<`H%^1iKHzMha9)2JwY048(x@aqMdn zf%DbEmE1NrObmi35b!aA2KQ@?;(U*iBkn^Cp>0MFGoiQIfMw|kimRWAv$Y?>VE(M= zxGh8ex^5^r{m!1i(Npf0ft)2=Lk#P;+>#pzC7W7xyYNvE6steY%`~7n3yMDt!kCZFH*d~+L317xI4~a3;9rb`T@n{YUb->V*t<&V6@`j$|IH-+vQr!cx$!x z_9i|yI(jDtY7jxOddNjX&W1v0*8K6|#FsC}5SD@%djcqHk1p{aoH|!^{mJ%`VRji- zMMje5gQffI*7ays_PW0cq23F}9NbLz0-}53}A%r%iSS-&Nw35mHhV6+5;qmp6O4

MDQ_E93z=^V z@>lZvMBrAWZBX3I-2kOJm%cY%-rjM@#!3xxkq@W|F95|{Ej{Z##`Ao9EGXmgRv5FMB zcgdCgIEf@$=%FsYl+n$z3iUi?=hwdkoBBaP*ZQIAm1_wMTT??5!=H2>#>Oh2Jo%u< z9=*GbP>##Egj_!aM;j4wbv#04F_{|3x5bu(pjixPSe~(ZN0ArATo0fWA|QT0hK+<5 zi@J_2xuxfkbsr0X;1sffhB);db#b1LAIBm!=6DdWSaWgp(V0sHEM6@m5_6Pt_`IAi z3MLk;S^-P1SPm8K$!I-^4LavPBOSF;GV{p2NY*Y4;5rMV6r_SvQ*v*Iwe9-vIb_gv zQ+5dw08-H9(FP!?sHVn`6!IUy&kJ78Nuc77|h`mP6p~CyVjK zTlybIQhyT&1ZB;V>wAhLy5W<_+VoNjSWp&H(7INP!@d6r@?)h1YEL4uAZNr%`S_?uZH1oP)QXTs=pwAP5apG2!%0(HX~Yg z4~2_VzkQiN&b6tYnQ(iSB;wpV-hMj~76kT;uv5*Yucvts25ixmn%sfqQn^9C{cBDB z6%t$uo?SfJ3uWwae!AOmWson^$%;APAfGUMM;)nAnLX%`bLJenSLod@p@#%|LHeMV z5CA5P$5v>hK+mRP@we*NZ-x2}ZhCatU;G{w%Vk1#!l_bDCKcBJUY&I)=fOY z%6JM%+&dmrJ27rCt9XUxK`m`b-_#N%u2FBGGE|Ge60FMro)BwmM z2nO0Ya<=jIA>~3Nhm<_yZ;q#+rUOGHBLu4kAd@E2^Kx29s}?C*-rW9qVZj3f`;M)C zmxIt}$m&tto%f=Ge%J)UQJ`@sAu9vhTVJgyMO^AIl?J*<93)>T58)>WHrdaGs*o8& zl7Se^hoFA+(rI+TL=+MVWMaWU*}-*VNG5{<1*`5g#v5`lLfovf0k6SrnIw63r#w9K z9h(461Bu>cZPHeZ3mops9P024I&yq<_7L~YtIL8nAN714dvk7VZ^x}o4Z2@PdcJnb z$wvP6`@^3-$9@mHeQAqcfO$s#uH9#3cW!aHFzEI~ki|ZPnP)C(XrZE}=T=E%X63RU zN_!Y|(~E|NQ?;SO{UlO*qKcatK}qxg+OX@T)IlShww8Na zZS9%3xH!Qdg2$#8CtI@6>Mz^uW>;T2^=9+W@rXGlCMNQc@PUj)D=fV^R{DVk59_y~ zp`j1Gv)4>b8)tiSx}241&}w3(E#MLus2LU(R_Z>gBYJc*#`Dd#JFoit`|sSndxVku zkVS3yB&Iw*J`OaiG=T03#plkhu9(!+)QbiNwl{Acj5sS9FL!;7asW!LQ>~lN#zL*QK(|SLp<=$_dxHG(|nFf2eNt#&9Wk5ke^j894t8<(oZBh zC0F=!SPTF#1%JI-RbrEm>e$N4N**4MJKR4s)W%{3YGXM`hZ7PL_1|80Ap0U8;O?B{ zOy{Y>(g4#A!eJj?US8z2bn0*nt8WMc?IMThz6)cz;K9bXvO+^c!5H>l6F}Z7C|oTb zSpvOUc33Rh3XgFK>gnx`*Nc*v{Py9B?%buEUfOh5`XQ$wJl4vc58m)fQtk3jktNmD z)fbJ7(sOd;A3l6o>c8yR)6;YE)T!>d4&+luOg|_kw%L`1Am8xZOKTVOS^w(Tuj`+| mb8q9O|N8@2k^f$g5qZ0>XsxOEq5H^!o!2!yldW^(!T$o6XV2jP From b9ae91cf26be9c864a38197e4bdb0867edfaf398 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Sat, 27 Apr 2024 09:48:22 +0300 Subject: [PATCH 90/98] Update jointplot.png --- jointplot.png | Bin 47497 -> 47349 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/jointplot.png b/jointplot.png index 0e8d3b73966baff00d86020690a27f0223ea40ce..f8a943bb8186448ecb36728619ca9d002c74101b 100644 GIT binary patch literal 47349 zcmdqJbyQbT*Dm@a1q4A_L`u3Or9nzMrMnT32I)qWMv(57mQG3OmXdBkx;xI=zVG{e z@A=L*#<};5^T!?6F_2&Ez4nT^=6vS!%tf%GyaWas5gH5z!;q2`Q-;CdX~7RA3NrYF zV|e5a{NiyE*Km4cYv$x)=wJ$yGjy_hXY2IN!iem>se_}1tqnUfH!}+(*;^+kJ4fCZ zFRcIL0%ltW^B0`u)kUBYR69vcM;Hv#5c+}pDwJ;lgVh;Hi3zK?rtI9hd77xE3f;8~ z=~|XaE2mcT%}c!)ajN7*!3cj^@d=(S?D<#HuC~ul9uN?BMe+&?2Jl9(ud;2?u3TJ( ze+^hX3}{CQsVb)UbQ1K6;aBD#CK+=D_2`-H(iS0``Q*Z!Xx>;AD%IHY2uk!aeDy<;tk7<tdKi2$PLHOz^@)t-=4{=NQknin z?};sUV}L(&FK00P7v31j0?C~5*feBta|Pv>fPW62fi{PNmLLdAq(>Qyw=crM5VXaJ zhxBhBKl+dP$+1L%@9)>u+~NjzSBHXb;_WoWE;jQw8633nML@mHCdO?y%EQy%b49fpR(jYh*>jyplAGsp&|B>L=*a5$&r2_6Eat zj((pvC9#Dm<-L?=xAwRm_uT%Yy($aW-i~%yOyML=cRP=C8jPQbcu%E7mUSA0foD8M zqUB_c9X(jFT6MjfU_FWKV!=~yC0ufp;pQRf=1ESn-;3jn`q7vFG?$GCxod?mRdywI zH9tzt$#ovP$p)1PgQSYXeU#8il(xdZO=b*3_BA^pZ*1#fCha4V)K`m=18yxc*xxLy zQ7lwHW)Xc78zW4YUNs+1Ywhs3vO7$)cHKtW9-SuYX=Ju#F)OQ5Ve{3D7#2n$pZJs* z>sqh7(ba9-`9L+wFoAoVpe;@PHPll@72~!;@5sQ^*;%{Z#NA(2FIAjEjb92IxVkF5 zpcu1Y@mmhV2u}!M_(X*#hJ%)egN96lO_*G5r1XiBjf2be@kwu#7+h8l87jO^g>QKQ zu9%VJq$nW+o+dIu`R&U0%m(KfK zS6mPdTupXn7J_ce!j^go4|=E6vxZd!o@y9VSwZ*2j7fQhOQ81eOX8l3N zw!rxOmMCBqwdp0xhj@jQb|)SCuBs1Sb!!7JQ|j$89-Y3%lA%|0MzGQRaVMIc(D!V1 ztrN+-%IJ**N{Jz<$n-1WF$^&rcDU{f6*S`*x-j`%7JMm+q_x=v3$%vOY3x@NCG8w? zEL}^^GKA@}%PJfg-v_ufl?>imoEV8}!)6;hewF9)*lxeZO2Em`ao^MWTKH&;!~Pvh zNVgA{F9Bv`2kij^FqqHc99&v$DkB^I+W2HB@M2wLA?UZptSl_=G^b!)Fh5onKVgGu z<+pLS&sjdfcN{L$;;Me^W`Y(91{?cUvyMJib(iin%TdD9G$VwnWWenr!)~JV?XG9? zUbjNyVt=}|bYZ+*F8rY2Lw7X%msn_yHm`nqXBtW2CE4H(;ITR`u*l&Y3vh?Ax|%$; ziAT{)nr@b2Xuu(K)uDjB8g>;2ha`u~%1-Xk5(eU>orIKBZE!rT$H=8c` zw6Mfm_e%ZzB(E%Nab))E(^>tZXE2m7;Ry_su(oaddbNO`AvQ?F%#SNu)`KiWlrY{l z!0B>jm<9y88+cja-`#!T4AWfcRHMl0yFV;w$*`$*=%?^Z%Qa>B)c=i19{=^f9Oj2l z|1TZp|JI}a|Lp?l51zl-)7vIXv=8_1@Amu8cp`~;{9kx3KXkpGU5q#$;=|lX^I$G* zzOwW@4AuW}aBxsD7yz8{QBm!6gi0PyG_eBzA>v-+ezWOq%Kahfy`Qbm_3Q`-)Ba-Q zGrl0>?uccdyA7X%(=wlDw%*6d@y>c+P3X%=_W5u#zD%lg;qe%W0zAb zTM02hIOY9}Mcq*!gM9}E7p|wl`Ofs}jW77R`k{Bkc3BI_l)jIb)G-B^Ixn?;uaEFw zs2m#S>z0F_9%N#Ap=?iy4o~z7xO>Hn_jL{ng?l{tx5skZ?p$G?j|hn?>RJu$j(2BEkeO zdle{1BA*kYuYl>lOZna;^Wr-$7`=c^^QGC3ReNYb>dqHDQqL9SQ$%a}fP3-OYaFj%52a_xdULtcLVVe|QS%tn{}uKpJ-VdiOW$mw?{ z`OC+b21(S-H|sA}<6CY_KeVs`>@x9nat~~f;wb(5tEr*cGN0RR0^;P^54MZVUPH45 zDrm4MS!z~J&JWO5ty_)Y`)1mYU#G)dRa?9I;{NExVF2k3tb!2%)_jutf;^`8%drdu z%@8bin?<$x8P-NJMTcg=hI@A2eR_V*XS-phu|HG&kZaCPv@LSF-1x!5X{pQdg2#U6 z<|ggg&U8R+(>haV0w>rdTB=s(&$NU!$$=$@UUBoGqJBGrS=)MTYZKhm^)ojPxHXPD za6tI042+@5zd~fEBUXo5UFre<`kh@>RTZ~wZEfv~3wx`nQs)J|9ZWjV=nT{-nxdMd zvGH?Qk)}MbrS@gJ-l<;=&I}|zH}2%tOEz#TIyn&f9skY0Ji zE0cFeJnL|2K7Pi3G9tRUyX$=C1wI*?ebIE#?mzX-Y6>o+va+(O7p!4{TlITrV|{2k z47YV!xC2XtGRCp-%mea3PZuwcA=CN2ySh75-LGlmvG!Slg_V_cpOeJ%Kp3WmkUHlj z42D-ES~BlK`%05MUf-Lip|KGT_Tu{qcJtLl89wp(h$!arX9*HG7%<+IU0a{VV?iZc z`+lZc7;NQ`TktSgftz!yey@ImWM{sS0A>daDXY4=Iz=Bq*(f4KtMk-`K4Ga`<%?bg zZ-1IJS9pmCVqvyKFzf*=RLX5egU`Sy9a7CqV1yss>FW@|A$&i6Xg z@BXB({7$y*s+bKa569mqEN_lxC#0nX^{4YX;bjIded~V5}J^Z@QQ^{3|w6L{Y*>8=l0a8kQMYRseXUF6Ri)5aw}H) z*F>-)z6JH>qu3^xm=f;I;NlGi*gpuci{D%=!L{Fatr^(Vf%OF9suM_64D%m{9iQb3 z-TvVzdd?jGF#T#gKc(eF*gI&x_H3z-$`Xl4EKjkb? zws5^wRHpZHW6T-hbI)9Zt#T@&A35>ab8M+r7E8f(%ZaS+a_{kWeZVV(wG?3w@Kwc$H+s)Km%U^HdRyXGgmFkfVGZhON@?< z1(>jD9^B&K;JAYAYWF+Q-01lCpv;|TvR^)YE8)oXmExLfdEMd+ z{@atWi`kZ2?VK?S$i#PyNjui#^&`5vUZZ1REN6ZsX?JP4)&)@(eB!z9vDg8kUiId% zc`b|@fS9-r%clKtPhYl|FN2Co8_;@9u;t|BAf)omup@|P6$&2OHuXq_g+{=W{59*8 z7p*c=7-HE4x$>!uI7+x!Xl{?g^D?$4>QiJxvi~{j<0`tTwN{tSmB02)2W<~;cFctw zYn%no$|Ld6Myy#3kLRce0;5GesQs7>DTC}(#Gzk)(VKSklA_qRyc0RZ|tVu-)uaLxb1x5z1-vl z5RBS8c?fZ9CM97ime&6!0<#Kh6*!*@fWjD3_w5QnODnXWV6Ay_$p=?cE#A|=B_VtL zIqr$4K!(){0i31hq?ag8y4@cIPsnu~2RZ*D(aA}*u<&rmr?&0QHyS2U^OImgu}wJI z@=k^(5G%TaMGmCZSPF$G7bfrCJ`~X~{VuvCHFz#uE^zn*=i($^DBP7_a6cg~4*%x5 z<^DRl*2S`Z{lHS?p>?&CJs?6NrTOCozCYesnELox61%}h1oz2IhoFw5Jwc80N10}l z>V_BTs*789eGFwkw)M_==REemUjQc&fI}ls_F0k);Ebv<`3}=~-JqwoO^>~OoH-XE zDuV+wI(PibFb5CAI}*K@;nf&=3bDdcTKA*X-$gad^pfNZMK=%8UPUGs=}KQg{tELmofNC{ah8 zaSn4D2G|*1bg-}r>L!~XGUESbnk>~?X+&|Sn|f=K%wFL>ffsa3G=Ciz0{@q>u@cqB z+BGBviF0MBvfP*$MMPDfD9R$(7`=U?V3#|$-WIVrSp$vzlx1d1xppj6ITwi6HJ ziKX>*MR_I{D=qwy;1dBZu+2{oshi_c2VVykFug%LyeLa~HX-x}!I!CtH2wcdVY zY^9Fl99{DKFa1^U5Z-vx2D9XZLo#s$9}^;+{tpPU|9k1&^O6%p6!O!y|6+v(?{f3S zQ3{lxKF1a3bNSC-Ux8H-nUecNA?oq#qZRXBd(GZ~v_d47a=_crkAV65r@5pMM|LoU zq9Ezm^;5`4(AW(de;gfqs`-ZwTf`CztWT6UyDU!Q`6+qH+qdX-%hBQ>ccuyjF9B%; zjOIZHhq`+qz!DI9XfpaAreRQdBu8j`;6WKC7QIOtUNVA?N?r}EX-`&X487BQASIqR z{bx$J1{;brm3TKZ5O*d1wg4~qB&#RG;&t1(RT7+%3ChKqY1$L=oJnY{HLEbJg{wY# zN#<}SR36F7{--%Cp$$fjvvqKc@?m!}bSq@KP)gU!7NN&J!4biiGeDoxnfu^D!WULh z2j3#$4{VVGA-D=TQsxIIfs2w5t}+|FE=`p`ctG@jZy`3#mJIWTh%oUT~q26-Xd z)9@Ns;EGf*z%yU|wM*z_`l99RNEQqbg_08)Kb?)T|MBvh%#;B0<2Uw5A%(#4&=y7% z)QRM77oq&!IE84jr8vHYe_JC5t^LDbrBxc58%F;>V5L4i3!tLIB=NBt6 z-+T1?W1;&1D2H)9PF`#hVW)(GL}UZ1B8c=l$&$gNM+#Eg~A=K62L_+3vM(VasZPoUUYFC`Q!YrseFCD6u1~m zp0mZDjfW@LJlzW)W;da#zMSGXl<2a#)}I80O2^|JK^N^T!Xw=F<|}zp?M+gah^pS6m0s1$DbMvvzGr1jTDk zsGzUynZIL9^7HawFuzx@2bd&3IHz<1NbfJYEs>=kuPTS@Ig$e%wJP5WN^9UcqEB=3HGgZnIr7|DNx0vHl`$`~on%YOaW z9v*yv4BDdd(vvE@{ADwNB~HG7pYw9`FXGT4R>D@B`2I05&!Y5%GHxY=p|rKN)%W-u z0>@n#Tyreua{ziAZh-fSs(9Ac)~+kTG)wOr2~K%{0Al=Z)DZ$!(yR{jeqn{#MFLen z-)O!Bix90%-vrV{|29<s2zxbFcpM)xpfH8uKDPxEh&T-(>HoPovvuV?abulQfgfOf}9}lO8z2AQ@mjz}L^sp&q^T~l|CXQ0Th7+#|EL%PgUvx6m-97hT#J^m>!pe>KH-2iX$2x@I_2M_=jvacO@7|`5IAhA zCwaklql5tKz@>+Q2!-O*z(Z~dg|k4rtv}%qi~>;*;Ge9X5t1_qt9&crYx+6%Jg4+8 zq_Erk6aE*ct+^80Xo}G;0n**xf!_~`SZNDA(h8rW8bqMha19fv-|ugWYK@K%+I3Kc zVi5+&;Exj8k(X>jVdu41RV+mg{a>&l4rxEwQtkVn+sxLJfgo@$2{7BJ5RrD~6KrK4 z2%bez{6%LX(P%=Z($O$ouEz?6{rv1ATLe&aQ5O3LDzl#E9Q37SL-agi8xD)Q693ze z@=T^rXWuY`tAeJx;}i3O#k3%hfnh!2?ER3uIt+qtbRvJlE)oc`Dms2yTP(6TA%({D zrLC*j_Jf_eM$(acaC)To>N2{dt z220r*nq-w+|H09)E!zmSA_k#Am8XAOU?}5B$}(n)6MkK=2X1ZvH&bApNKm6G0jj6`sWtJR?F;y^zS}{`Ea;8w?fua- zOH&hT6J=I*^UF&y+5!U@-1JI5m^Hh|W@D@;_~Nn>IGb!|L+Zt?<36|AgFidC#` zlxINNb)*!{NS?#27{DR2^$>!84X-eMq7=MHq!^S0y=mHY#QehQwtl^m)*8?EyX)0+Rsr=(!cbTg4H0>>XfbK(4vDCe>AH3Uh) z##8+Wna+Q!@j`g$zq{ZoCfFFo@Ie;J$GpmK{@OL~)Y#LuJufd{@R{4xVxOUm0Rnp0 zKFZa9AGD>RV2gOp|DKShdlkT55jcXmicc}Cs8ITJa`IZuJtPoU3^Md_x(<$V4}H>~ zAwgZfPXWYhCDf_-)aCooLcAM1fJN3ZH($Dk7@8c()Gg9*L(1sD#peNoeO&*U7je`8 zAY$VEk846`R5u$?rRZ-|UP!?^&5Q9DFdq+~&_zJQE_ef%j;>@f!jZjn{qK8j1sYVb zWspUd3uTCUM7qenWL4=A>&q&nQIa$A&yxm2R}KFK3P)Y4<_vI?M6Rm0T;b`tE+YY+ zft)COB`?{gJ^iLP9R_PYPTgM`U?2XGyl|2y?ddKOhjbeI)$3Hxn}H<=$`%A7pLKza zyZBr<8u4wCpO{uaH`NMoU7H(mD!CQNw0RaQLU*e|fTzEK1&g&`a&-|>d`?uZA-&y{ z;C9}^9TGU#xdEidQy_@w4_RO-+n;(HYh&yj%~oZBl#$%6+7$g&X^sgS(3G#r9kT$j%9k}L-~r}J&{Lb%Nbi&9 z?-rWsb>5KYWU2Lsm!u6cw^TFe=v1I+VgvR28(6-Y_nZ@*TOa{q0k1|wNDJsp`-LyN zeQqT9fn)<@MnH)HN*ba0qVokl@ioMr+ti-sumIkB*0$wYQeLbTeV__Dm>|re@*6b+ z^!Z)#lxhnM;7o8+q6*dHVC$GZ7YHP-OK>b*b~6_FhUa_p7wrVizCyQSLaFSNtA|UZ zcgv&)q53!Nnw&iDC$uEq7t0Q^AEH9E!ntbP#nx*BRaz<#X#qp000)bvTrO?g6EQb8 zAC1&(@fLvKt7LR_|H)={WSlYR3hw-`Eri%bY~|ZN?2Mho7Sb@*rayAF5W{%h?d;;R zTG7uOV3D->=MP=C3Q7TOL;1u5`WC93t5~X6Po6$SfW4coDOro0uP}WGGjMRIAciJy zvrCP1=Scg%I&8&DCUVsbM!1k$F{Y4}EFrbHKX^0+-cH6vr0*}S%|l6_s7i2@l4Wmg zzB_zFg%4e8+BG;h$nADS89^eTb<|D5?>bVCOkVAKB|VM_b;BKWqaMg9EG#U4MJ<5; zmRS~YPJnO{=yiSO#~K6#!7|V(6U~wE67OGNcA~bFEenq7H2&==@JEJ2Kp-3tb@PDr zAG9(sP48Sibd3VnAL?>p1yh2gFYrHb3ahOfOM!Rw8TU^& zx#OY_-4(gH4fKbv<*8WsvBk};407|8D>}Vj^iOUzXJ*1dIZ0{V3R*(mpPTZ4SSMbL z4we+32fmO{3ck~qLjqisa+sIiSnnY>a9)b7NVSZ-8=R*nuS4_$qf|@Z!J)wdMabuz zr*xry{bf%Z8=u0C{G$OgrQ>xvaWQ;ulH6r;DFTv}*y#yATtH zMttAAJwq8tWfPpV9A;GtFyT793cr8X@1rVNv7aIUlB|GZHxZE8lMO%aq zSy50iyy<&8NV|=X3FE&x=x|-UUiet%xz2#Jcn|gse7v4JolV^`GDNPg-x{u*H%IX;Ke8hQ(S)(=x}UjxIh_H> z5eu}T(nmkLOsC*`bTX!}`X@gf*%%$tB>=e^0%cD~-QG(Gq^-u00zp9Ie#*qe1l-d3 zqECw>^{}#>tn3mbn!sTDKKIx5APJ3IZwQRKGD)Czm&kHmzo0vb5bIag6@Bm+yTZwI zdc|$Y?*UBX$(GPX8)luqKUdQ-M&0#Zgzf0>s=tR>K}2UlAjht4~}m(QH#Xofj#u1<%W&WxDKQR(pu$^RL0!6!Ka2#F_HTyFq zC>HwlOL%a+FWj4kKmsdJ)p?&z#`ov+bTCvj(CUXk>bj*5)IL zG#{N>AxA-%le-J?ex&T3skr>pMOnM=kUNb~u9XEYQYHx}12#D+OP`J4FWItgpsT=)QmWLU8`t^VCn zynQF0I^zW^B*Wd`E#5!Pvk<{ToU`k|pz_fh<2b~;KfwIdy}G%#*R@-_*qrd^g>*H^ zWBK3t+sFboRBW=9TZM{X4oa=gvYBROOO#S(Wtq|{k_t+!&c=pikw*7TES%aLY%|Lo`jVOyYqPjNCz-O;0T7aqZ)Lg09iHA%@c5G(zXHOnmP+&vP{u6y zFO~vw74Ta@J%tja_lI6-Kwf;L!nP!e5>PPSvhvhw6Gf4^-(>9GJi)WkgeQdI^nB%Q zvat|P3RhjR-vL?N^7rqADUz?oWF@gX8q9=B=O=WJg*7;fJ}mae#clD17_6zld(q^B z3c6h?>lYw1t#LA_oehV!eEQ8AO}W`1QGV>Lr%zIH^5Gu^AENtnuu4?w2UsF~-OO#_ z`M9)6!Mz&DpWh9+YE5vI$s(l>~|g3Dksyo+PL~F01vMHu}x#j_cmUyQ*1#Vco{N zLq(aZz5*~_OC8}q0zAQkR!`O3>8Z4L&MPQn2*OxXeC{s$m6b$M=*l!i%KdT10%-?| zX-%e{WIUw?8B2L!Mb@!S$aMJ3PT43`XcQG3AU^^9YzRpC^~|WP@&T3d%85S zK{rF3a>*9&OP9s~R%Aa`;F2^7PrAY;vV1s#fVkovsdHd;^6wmUqE&1sO{^x!>KGTK z)rUcPn9vFyj5wexFjC3D09U4SSg#_@UjT@6$%Xc^QJ@O4m5`?u&y$5kX{jsw9ufE) z62OYp2?1^#PVvzXnVzCF;Y^AlSgt;z*g@DqTNnS*s4msB??22$o~V}jgj%dCg`Q-d zgPf&xI}YpU1=GiOR362Mo@`>Dg~!7D!)G}DkzH3m4gAbo)fcBIjiv~+R7I8!uV$YO z({s^+z@Z^|VnNS3iYe+qg5g0|R=3Bo8rIVz_&=^DVOK%MBj^Z8HoOX96`%l;VzL(b zTc-7)R3O85=_)8mf0zAIGimlK)8`tZYNmB7#KOwaXXMpcYfNdE{=sOt2#=Ksc9IW! z4-q-$eJRlZgd47Z5+6-4I!~fCZuu~Bj@ryZTvQPobe{!Id~DfXO2*Pit-vkbh=-`U z#0l&5*03c5J2Ty@%ZV~?)t@am6*B;W9L#^jB#%=$_P^-3r4ORUzSy>^<>M++KBA!4 z{ZR3b^nPp3Ky|R8?R^bmoKrwa-d5tYzA;;gX-ijqn{h!QIm+{#$yiXBqFr0M)KaF~ z7?dsd z*Ve_?N^5W{QdDWr-go^wsGEHPlp6DQoP&+ZDP*!qLMUU-G13XBbXg$GEG=amp8+LM zEkXuc`8eS_G2bG+U^3?;cDKg>xtOT@&AbbM~_0&h1e=0f0hb1HEmXD%^FuvK~m*{FV4ce7m-*%PIV^#1Rr3SU;zL7 z-85m)#KF6`qfp^d+w|2>%(pRdm{bIK6QY-4}h*u;P)znIG!el8t8ysweRfv!opJ~ zG`k2z1fOsg3o-PYv-S#Lo3-?nmo1*6maE6Qk%KNeW> z3|>_pfKR~O--YUnlgvb-2`4$P?RQJ}+-y~1w_a)OZ4>1Mm))9&}OCU|KTl+zmGCBd6 zYPxAqC1HxHIK;gg#&bO!YN5Y4HdZ-a!1xeN(Ncz!|4E!fcA?6HpVE4@itM~yg#Lm& zWl!dfO0Bv0AG(^l>R7%`gNq!nelaEMSVlrj+?^rW6Br#XdMTs!^vQi9*Au#ZgArOd?xr{utP$5je{Sy(j zYUyYA8ofh#XVn;EKW5BGRpwKsR~|pf!`aFzlfxKBNi>Z`S_Pwczc;5D(T}BEOFxPX zsyX84w&7pBo=7EYr$Uu!7~Rm*#zL$!FX?4=+BI5?vE1R+w)j#h(i0Z)l1T{{38+F4 z*I=Rv(7;0wGs#g*XEiBQKc$%*t7c(%(iKshIdhJ-u9+YgnzaT_(8$LjBHkWl@g+0A z{IqnL##kfrRc-W7cTU1YwYRb#Ok7oU&gcFX5(^G)j)z63PMglJJq4RC2W`71)b+y| zO6#)b($k7r+@lB8`wD7ec^O%jVgM;iG4>>Zg`5Q$ZZak{>(3|Irw491;`5sXIARCh z3TkgU*m-XgqU!q^zLbN!1gbUoOAdfkS9q+7r}ta17(AqZ*fj3GgsAh)?QMn)+#WQo z8nFQ)rQVkZxg3()?=V_fWH)rk$Y+sX84U1X_OQr0)x<5-ejT4Y&Gl43d&$qfRko~I zAVgzws%0$%XZld_Y;Qgklo{fIk{Njx3MuTD)-!?6_}(u8aY-031&G3S3oSmNVAN?$ zj*x_ed5WV4Et6)tURrY<6E@)H!GCdS#aL}+ zS+E$>R9YDl0r1F^TDdHl*{)%K59i&}=XrczWVpI7a zCn5!bQ{2A{RL|$2fZ2O*WZMTn zm1~3^rG9#4fNmv1B1?n&l}9+75%ujs<7cICahl}cLzio=?UzIko#k|8hx!25BR@Ox ziQrM>^F-Dq$A_--llYR((fu_hkc!VXn+-4A76yH>}@Pe~#l zK;fXY=|~zH03>1@f{bw)B#Jx>mqRXb#=Is-BQZNVXY}1pi~+9nEfZdpXcynvOr&Uk zA>UPDgmc@y#RWC~%TW*bYHQc$qhxrThBd8OD+Y0%RK_V(XbU76#!*d=&#d$^4`e*#-DKRSr%~ z-9r-h%}l@_6=U%ld6xpsp(o3Cv)IuU*2?0iq5Odn%`uwa!~OY1msd+SLJLoX{&$v7 z54;_T7wh)V9UWX>QZt#)k zNvip3oK?+o_CEhp$S>A2Je+1CD{A_sC2nZIUe=AD_*TnuPl=9)p(r_3R=7e%r`7-|HwT(HI~hySh9onxRguUjIx#oLmX0kD zWPZdH#$dVAC)s0*;z(65Vbp6py#*SMkyNLaSClwmo@%vm0yQ93@_e6`=P0wFR{ol* zOF&duh)vI>j6ABkFQaZ+#1T=8saVT!djEa}6!~#GtV#BgTB#p^+SqtwdJ`no)yKy{ z7T_Sse+C>zVeDblPGBC?#k;u3G@J-M$c)smd6vh)T5WFkZ_&ZQAQKe~>SAmIkBq|P z5hn};SgHi4E^CyJ{DV#z7-K> z%Wh+V(;Rrx0}E#T+7PVrT9hO63&-NLR6->VYy3}HYdX}lvp$7#HyUO7XbWrk)6c_9 zOzsO4g}=@Nqb70~wfP|~quj6q*@W%M-||IdWaJRU7lL+TsGJ_h+fQAp)wOCddw67WGnzP z#T=sh3r=PImXl-xjVxmOsv@ctiCUeGkrj&%tn&K@ z)L4_*A1d)I(pb8_-dfxWQH1>N<$62>#_CoBl!{E7TG2q*EpCbi@80daZJlM_ zf`{!a%ziX^9bln>#177CS-p4W*?-`hv51r|A;MN7%r1-a?ssp`OqS7s8ztiHxImSBz#aqy1UTLedLw-;q^G8)M)TImd@Ucys7jUGm3ZdWFZjrH$X9a}=2VST z-aHZMSDwgRw5@%+nN+lVkJgxJDsK1O$l?6(rYB^)aS@eY~v}mpBT|t{F>Glayk5pssptu zcuQ)u%{1Y^JbcmgjX0h>hmn3d(GeUp`{eK3nx;r5GAd`~Yzp4P*y~ve!qCdJ9SR+G zsLkr7lHrZHt&9mjUgsN_#kgAsp}uVhu6!AkntYdieSI)y9wEvlEBT(O5|#2Nk@wYr zJS7klV-ug9yuj8PQY{WoNNh(pxD1wayPA!cg zs;CZo5X%VM)=lDAq87LSqrGdn-@j+*HbtQeRkl^h1x0K|x-u{@`Cl6ht#eHf5SWr} zt4pbT_s*7N^<%!k&%>hsggIu%gPJVEQ_ks`i8T&tk99G`Xxdhmlcv2&bdVpqg7>!b z^=%Dj3xbbb6B|&YrF}X^ojx zw{h;qAUl3(z;1h!r@OVPA$@&6?Ix`Q`OshV+OOzrvtNo73frvwHaR0saa9)Q&oyF; z(^Ou`YbCU4a$+aCVFm}c*wNo6!40yIu>>KvJmk`Acmi+C?j?tdP*~W}cThD{q@?=n ziMY#E5{%tTkwflsw$UoCOprH?yK+@k*uBuidHV)B#=%1?C z%B0opu7M^Q-QXUkF*8_T3ibOS);D>#iRbz#e&tPwbEA^j1!2x{BO<7Ep%(C5v(m&i zQkN__UsdtTlzm0EltD%lDJ0|@mbEdb=NFc>dbsgmWCCC3B*q(jqd-dRPX+@x%siAP zd&~7|DavtILpl{z9_^cLU-^#oYdSAQhve45_+l$AzlRqlv`G;vuhZEFSo{hC!NzcM z;4z}(oL%kIN-bx$^}*hb67JwgMN3kq&ohg+m?iCieS3%WMK|wzc}L%BIYLBRFe2F} zoo9Y-$*rpWsO?`cMSFCrIz_i4{>2A0w-boNRWQE7McRh7{AC1czOEn7;RWPnJn$|< zZ;=REWXPu59NI2lIh7RGKS+Qzk!(AQfL=;lz}LQPoG*_GD>SwaC52%f^clbh2o9f1 zaFs-_`l_dC21otY4<2zI(+vLBU-iMQzbf%fUaE`%`cpm;?)xyccRL#H$1Rq;bJ0Wt zkM)jQ<_Z*WGol*C_^>;cT#0?FRgIombhQ2&nCt~_zdz62Aox;Y#M0{K<&iS~-~%fI z_csK*4vtLo0GvilX*#(j?K)_5@+DGsTvGdE=HVs zrU6;d4YYuFe_5s$CswCxq(}OtR(Je^kjF9gg+Mgk50e1g7K!%s z?`|<~j65xQ2dkqUEqPP9Fe4d-@iiCzbXW8&eWo%e$t@M*Hl2A`JhT>Pp{`t=LZ-7t zk4s*Jv<_xqmBT=n%n#RWs1Ex}bmOG;;ag{LKj{j0tLudXqiI&-8n?MF5cxUB&XVX%szewb3n53wR5M*KG zWo59Sei}`-6kW+{w@dZZzE|^^g zlBdW{^S*i+vL5xtC(CgYzyd+J2Oh4nOT&z)#?+3)y~dn$kBJ(kO{-I(CCL6qt3Mg< z%2*)3>0$-aqSpl$I4_$Aw-Lqj zAACm&jpu^ssw?I~C>8G8hlohN6U_^I0c_V+w5Mbpm&MkH!^y{nV{&5!D{#MU!}Y(4 z-y8jI0-W5~OAdU2HM{Ds<9?xm<7{Y(lDZZ8xk62~1fn>oo5*BntuyfX=kTFc(W*O3 z0*#n`A`aIXDt-IzT_Md!Y;sm}ROZf%GEXl=7WW0p!iu+&?K#&vqAY70;uJvvgL7zY zn|gs<1?bnYfwM*czSP50s$g&Jmr8zvl_jn^vf29 z(v;6v;3Qe#_~XVl^}h!+f_ZLv@y7~NT|6lUYuVU5bn3O!xR7+I!Yljr{*~)|9|2oi^l=umLDq-i#6y`DE;DbAcVLY8g{Jy^5zQ!J93tbjq`e^XEfj z?TkZrtos28rsIP9cKa%*MFwD-E!8jUj{!PX;zXJFsFPS8J1F~*pJo^qb^%ReBZbN3 zvAj%d|KT*_rj1R=N%cGsmVt*`(HHCfHbp>>06naWO_8HR%f)o^OrnRYvVpAC;*j-4 zP@+0&ebGY^vc%aH=h(DIssKoPnZ8= zBeo<3e~jLGC^hg$vGQhEVaG;po=M<9O`kHf{-^!TZjrB}S!B1nW?pXpw&v>nhs^3W z%l|&6cnH5`jIyYb6Q;_}qHiBz2wwP#OqHfm*U zAy@6(tIqRcjWUHw=2Ye0WBsiQ+!o^b)JWp`WN~&r0Q#+e-`gg>eubrM(bTOr4k$m# z`NZ2o64=iW=MF|EPcOQXnMh3e!A5tsBLjCXIBKzqdwG2W*Tq7U*V8Gx z8RfmW)Op2XV}}JCl&nJ2C)Nbc%NQF~qF6@=q{6TTJNZV(Z)8!rV?8`=+_Sq>ja#3u z_kYWFMjC3Q^Ch3~rpdWapg%8Lp;?L{M|rnEqcv95m-vusDUC20XJJ@@MCiJRmqAv<{&v`;z^-?Ss=3xwZ{_IF|e}RD-O1TQq_1 zpA#R|N#WINvVSnMZ5LxKpjdO^!4smEMHy1V=vTWT1W5_a(l;DCj4{g;E{{+NE*4w( zJrQl^O1#+`%?LB6z^Ghk%cSzeQouXbP~#WkE?Y)-UboL9MqtVrvo+g|us%_@^L$IB zJ;|x{%+%3A#msoxGG0Skyqid0&o0{IAt&5s5Z>1{n+MS8hK|6zVZ?XQJyDXs)gN?L z9@CzkcD|vnu|?;@6Y_Ol7#(0NzTZG5u1Bq#vc>>ko30|StwUh1fI!|Myt*5yiLLcllY)qv zJe_DOLkG(;WyO%Um+k$$UI93GVQ9b@5mqQXA%_xX8i2@vNm*h^NEpgDD=b_#FagK4 z8EfyrI5d%awx&V+N*;dCGZg#X9imP=qt^U8)AA*?XRR&Pt6$<}j^pEB)I51cp2H9J zGUtc`WQT9!_y~G~; z;<-B=+**$(QjaZ_yQUhUTw^WG1kI8n_!~B=T`Y2Q=iAu{5ey@hZg^*;^DL~-)a@3_ zB6(*8EEnj74f8C*wZlM~a&uZeYkzfx4CKlt<|66!lT(bpQeF|y_AI=3X<(DRcNyYf z!u=XC@+)>(Frvv?q+`Bve6mpV?OA`MS~@f@j~#nC@@D?zyr}#&tJ&bz_rxzfw55Bb z5Np(VumLTkS@FFOlri!Y5$7UvBJ_PX69@v;RvQWd@L1V6SC0y-5doWXHu7ZpiI5x1jv z7*wC4izag=*!O2S>Mr!fx+;GlLjfPkjy2T$NMOgDuPV%QD0>EyfM~>=lgq}#zG&a5 zMI-~W*p9t`=)O&?3O7N3=La6Wg{p&1s_zwYHjp{$NhNZBoMtXWGO^&-ZfaM8J*#S4 z@k&0>3x|=Tly38P1M@!Uq6gbMi#6^4LDgG^RTZ^s+l!R$Zt0NjmhO<0?hfe&K|<-0 zZV-^}Qo1{ZMW=*xgM#u6p1q&_9^Vgj${{$%nlbLUuJewp9r`Uo{liy>z_Hx9cOUyD zz`Z0&;J^bc&4Qw0^Y2V0oP2vkj~S0ro*t5fpGt!&l_m+v5bpiZ)z zu#2+kMNtlLMm8OG_@Tq-E0|WY&u`zLD+mf*!Bhky*PPzRK;pTpSVDgjekXmR-@L59 zrWq_*ZY;oqEC2JK-{e2-rXi<|cEqX2pf3lWE$@sQ4g{Z@$cBP~-6# zq9e^==wo5ikI(zt+;Y%V-D)ceF%{@-+2$fsFoR~COnS*$G($f+-Fkt&MOE$dZw%D& zqxI2;sN}kKr<4Wy8qWlCKJ|Lx`aS20>)8HFp$CFOd&EDo=8NskJ-_+?e}ZaXdT!0J zl6C8`9BbX1AEACGtc)^D4EE6adHh`Uq*rCI1AbZ0FFR^f2v#~T2E;G!DyN`V*m-j3 zM)sUi+#jLlR*fccA>mCGYnbjs=>_=GKpCUouX)$%qoo~s!G{uM**RZrMj+?FVZx7W zjFMIyuzZ!=l9Ra7p*>e+%%LNvcckWgrvrH`hAk1SAfdN#;?1Dfn&{RN;kGf@4c8rN zWt$LoZeEpj0(CiFbc%aXjkTN_sgGonjKxnXRTUp=3h+SAfIo00{k@YF2`W-t#Fs{E z8hESiS2AqZ*Sxgjli3X%4E_}U_>mr46wE-?|9lKe*9RkZ)xL{6B!Vs3$F3kPY4sS= zCyI!a=ZV#vvy(2g1IJ3Q;ZEAx?TkEN-=M5W?{axDq?)bu#p$LhTX6lGZrKlXBH*3GU_jINx%l|L0& z|9iB)1%3is`z$A4hV0on4>jjx5cQHPy$xcvXf<#-mSSRn=oN&hVUFTBGIJN#Jujat zf>pw3dAhRtGlZ2GiY(k!PY-fChF4%S+-aX%nFiYMoheM9SDie?f=hUVF7od&m>UxU zuv1|s?pk_I`UZZphxP&{A29^8S&Yr4y7YC9dOXVx?Gdd0O9wgi?jjZTK7EFhgh#V? z5&_Hh!@0@RjR|mRv53kfX^&PI`6C2RG)(our?$Yl@Yy&=icb2<2oX%>zO&f11fI(& zUztB5`wM+nHE{(@o7*G~@kiuasAzt2+wPt3z4WR;XA7~8$-tRHJ*;;>&GEo*^~y6Cd%r==EL zAk7;zRod?0dfTL&K2e-{`m}dziaQG)!5%aHk;C2Fq$A1d*fTJX| z_w+~vJnJk0UkGKYwezCg{?+b$_1e#|Lo$c8>zLywPm8@*nXA^OhE`3+#GqJujWJXS zcWfQYX|^i~jYuw|U-4$>L05Q`kU?mIbck-T4DAo!nT?3WK>l=WMiL(3<|%#dHw zh{Q52o$s@!>~34Dy*e2#t8b~|Fl7sDD!fn-GCw@)j^Z%&ZE!%uXqfaVBG|CDR7L7_ zgc1&+XDDmal_QQx5Zd+XUbG)f>A~!2c{xWyoHq}&ZRvrP{Gzteyz(2NpWL7 z_mGqT*~k-L7V^;-6aN)phx^p={#ED1+&o3tMxS@Gt#hsZ*p*laN=(mw3h+$>*@uza z?aAmUOx>j-pWnR>HJ{hp9n~X8mrK39yinfLMfF>be#uz7uK`p1pNr_sWb@)y7qNr@c=3{4#&}3o{_*+;s%{M5;*4y1ThN`5GW4#cdGus zb(DjsDd2HU_EfqRs!E9#$a(E#Lao!W^ls-n?W(fJ#gynblXGs5 zB0qzUZ8j@X8f|wTYbpA@Wu@Ku9=RL83Gr1XVg-4}4Ls574cL>-?<;Uv>DqsUA0Qo) zPz)P2%u{31ZT*Q~#-zQ#{RfSlsQdE4lQqOKPJWBRF=n^r+Y4(|N45o4T~oB@#=&z~ zUWkmKKZ!gOqi1ur>ho)_opiwM)exbui47-mQ#-S-6Dhe{E9m*iwE(m2^IM+KB!CmT z2zWEX?`nW7O+!;Zg}}h5`${^C)J0&w!}48Ywc~)|sW1C2UvFYa*<*u~a>Zpo2VQn_ zCpPKwhXY6S&F7xeiVr#j$R~vxtZFjNHoawp`v0BIyRKd@RJEEKuyj6+QGEAnp`w4T zT_OZK%0a_1;c?*|vUB(~f!4U7fp@d<8+-pSpZ%EVll9&eGSCRqL*C#~A-Pj-{BLK$ z$LAfThTVjM+(j$hbEg3TE-t0BM~5rTqU}-|T(y8UkN^)xdF55hw6Q~ULNhnEw{CzJ zD8IDy1;hnN9*R0T0>f>zOssVYf#uvoHZDzS0p!rz+EpBH?maWreVbe(T9%B4e zvvslB2f#* z_nqkL=HSV#6=N&zp(FT}&VnNUL2(J{l`wZmQQQ>cP13~lySR^7W(e%o;|6v0 zNn;l&tM-K=iMwX+gbyPk8_Q`jwKzElhC*`RT*qJTy3c2t@4ubT$~2MK!j6y}t`Z?Z3lIGRa8{Q3B$|*YnD>v&DL|~qixf=NRtTSEcPAZlPqm03j4G`fu7SA3BP-}DNGYY|n0LI2>g(OVyvuyEK zE7v}i-2diZb3^ADSrs)6zsy@QeK39*uxitdF?oke&!d0M47n)7i^Ejixp%?q=;Mq5 zg*3A&uAo09P%|Z)z7Nn!-U=s#;#0WK($pdU5jmeF=Lmame>V-;2GkUjUFuqJnWo#>6B7t`KYg=1iiy)=8P22kRX4S$PaJ9PMR3@JyKrsZ*?A3$ zwYPZpIN@|J%lbZcLnhZ|W7fB9dp6-~KcudkRS+)?#$lBt2UHNwDWJ2vQ^?+5ULdgv z6rm4_2vWBx<8lz~RqBj06dlM%kwEWgGG?e0U{%rNI7t*F31mupL5%*1P8&Xu>)Z1FhP{vn z^#>CXZ&={sQ|HC4@1I`6=@vHb!d~HzNb@+E58JP6bT9Gf3oay9*Cr3eRUi`;49D$z zLq-`zjl-I)WSic7poL@O!LM!kk41)G7ur!;4fpx&s|ZX$pA+yor-I~nbdWz2Wl&Fx z(j>8nGBfWnv%rCG+R@af;M0PyKf ztQd2eIh6uRMs$O!Lr+_&o&j(2m5AL0AMwQN7gF`|`%9LxA2E(N&unwEO5e!KxkIE% zaSSa~tc@O8zWcWhKHc8YsG2)*Dhvce$L{{})tl@@&cJh(hgj-QOc`*h97JKr%x_%{ z2UD55hzvF<@(?L(dD>L(X3F)n5rg1Db>~1G?PV8g)&lS6rb087*88154>UXXQzm4R zJc+KbBQYps6zRR^>=;`+Pe%d!Hnl$-YIF(`_|MKt?1Xyc^=DiIY*A`%)V7AZ@#1o` z-E@8vY~PJ8dg=(TdyUYarVQ%8{QdAB*|fiuvfE0-N%+72WfEkTz!=8?Tt z8FgV%@BaRz3;5la1~gxFcpG|Lb)P@z#<69e+xzbx2sC@ZV_#qX9fj|h?Om#FLxThC zCNgos0p7>^5hfqLODAkvO_V|EfDnzTNKKzPL2?dH^s<;{Qw=BPqMjeT*<@QQptg!L z@RN2!#9A2KN+0j8&F{5lm+X(;?({XK0ohhldPb4nLJBIVq~A>$4{E(ax2(uL#+L*D z8+@gm)4YzD_w7~;RS7QtXVi!)mzY8OGD`wJtihQcyKJI3VA>pP(pV&NF|&|ES|fi6 z%({iV#{-!Ogk_e9Wk0tocq=%uJ`K!9{}a_$0H%!vtKdt3&DwtVZ|@xk7Z+@|zTofY z&vGJ*KkdYQ9BS{^lo@B0|BF7L5QMXIyYF^C6+%>?m9DJCfoE~(Di$7GyN_#~oIg{~ z<5WvrEKO0epnUnoi8TWON=2mK23xcX9fWu$x_wLe-L;pqz5Tf9OMmCe>ysJ+C`vo3 z|A%0~iIY8xOnS>nR&2e-Z`JmhlTFNpc0xQU@5Yogn`Hh@{>=3uKOY4T0O-{HwQvo1 zN)ttR2-4a{%f{`S6A*N!!;X#-9GUW(6JKk@NE7jLLm?GDWH~D^baR(Sv;9=U+wNlv zFQ=vtGt&LG{a}h5(#Yovx(L$V{@??W*#C+&SQ)^ZsQ2;X!j5}mQXqvs>ml1~VAivF zM!E^-nDYZ2BXCS)jYhFlCUsC63uJHT2X*Gsv6E5s?KPnv{L0z>=B##x$Jcnl+NEZV ztM_pb*JTWq(rZ7ps_*pA(7n#mu`6q=^K~o%roBGN+A7^=SU8f$fDL#5>_BH#&Y>4Y zp9srr>o4NQc!l+JhjWvTlVo_J!VLyNZRJ0PX#^v$n;CP`j3pb4U9Z(9JsXT3LHAFv zcw@(37C_QVcAD1@kjcQCMI@H;D$|{g!_=vPa*e#eQ5~nTna~V@M!7bwErAYOLlsvp z-$zWBRYL&tvXamfKmXZ<^2}Mxw_8Zw`n{hQe+KZPwvLX5OOaKuDaU`+6(t!Vv~vOE zLdkacoRiMEw*n8f!XYq`*Q>t2MX70LgpQq)8j>qT*{aS(i%RfuRU|sK3rq4zt76x; z;b2Nv9B3!`&*VkmTB5JuttVaE+_Iivbcz!J04=&Vd+&XU2;7jMOXAgd!8{{B)f*o2 zzS1NgR?-A;CvRyr-Yaa@Gnxiw&HJ`~rwK!^f@!tnG|+HtLQIfB6nse6KY@j(^1p^t z&kKo+E%&ki0f#9P{B-sHUwp&$-)E`)vub6-O_^C#|3jL9_@Tqz~s`qjW`Cp(jve8mX;%OY!0^h?+ln--ji=$?^ zRr%6*FBKPV^-l>H&b(|y^C88EqQFV>e7UkIe~1J63~>Cd_WTV~8@1r!x@C$$q3 zzT565vS!T8Ec^^-?0Bf+*!$!71QDm4dQ(^VpkdXx$}qGim2}E0U?AY!UH#LCIKgS%^neEE`0KQRGS~T z^)K$P7^34kHqk1`1D|Z$ZTaQ2xu?ZR_JgRKhIn864kFJA)lg8V2iujig0x1SxT%{0 zwPcV(6X!w7OC+7btpETIJV?3t`46VrSETJd1lnPS3w^tCY?`q2G(sVtPKpMbG7&l| z>du&|Rj_ZVfEx4iAbCGqQ0vGIF3DD-C-EOsd+Lb<7YD)qH@#*aznsmp6XrUMg5CbE&D^EdGHZnB3tIds)~yd_}6`kH1*pP;^HtyRm!k(xg{?z z5gyrSxrH={(UTbSXV@*63xs~dGKF8QW*iHwTf49=9ZvPS=jW{n?*sM441-D^2iQzW zm~AApL{DF1noxP=@8cP_q|_LSrRV@;`s=y}dJ7llYp{L_J!!X)t00kj{An`EJ>{>g z9My{p>&K?k9{;%eFcA4Y!C=ndc8$Dhp2~CLWRLR6gQ`F{CmVdsm)LSZfT}}Nj{plNQ45>rWMp>yu(P--(cpNL z>3jSvx}Kaekr3IR?u$XWzE&|e1p(#X5xvC)azySe$9=rV<#9*Kq->b~t*1WgD&^hw zt*(2plqSSjxBv~Ce)iS05L;LGQ%_xdw8Qgn&6V%bSlhUB>8shmhz z@6?hWl)@&RKIndNt9_GJSEP9BBj7`H1)Q5Z8j_Bqs=5&}WhZGsNTHLCOMswp4hpeI zu$4QI`Uh`f?V-6BAAxqP@^=-H@$DT;@qqxJKrHl6sf&jTNk`wCF9JCFQbD?^|Ku67 z99h-5j!+6&DI^IBeo)}il;ZfJL)}6@ufC@gOnFUXQ^W~mQ(w!76fAvqiA>gqScX)$ z9_RF3&pAvS9z#D4%`6=bX`Ok@)a6v^kRDh@oQ*JKa83^`nRkNTk%|N9@9Hdcb+^!= z--|sv(eD{M{b0ufo}M$3)DsjD6H_4|#O8eN9b-_+{JTfPZ?h5C8?TkqGXj|no2 zO)mz32K4IhvdSPA(!GGYV*O51b_H4cPG#M~M3#4?_8dAMyGQevdKNJho0UMBIZhm= zTp9?3CXt6EG{Ay})4|aBT!2#8=T)<(Wy4U%`5_Us$;8JK4WRtbztPgp>G#B&1>gMp zu?@sHg{=SF>bm+hXV5S(mA9MzF#!?m;Iwq1?K*))_cCvgN6U+u6m&&NF{m7Jx zo{?=~#WGk3t?L5Sndb?*G%C+RBNOFOKzBr+;SocYQ%qX~uNg-l4%`L023Qm=T09x} zU(Y5hn<7SIkoDldzmTD}qU+lGM?I1R$uk%|lBjd{C;j(O*C#)v8RY=$q6F*Z{H`xI z?M2(3>0R&EcLe<%#gPX{u#rvk_5jU5OSo6gQj}B&cBd~;zG6evT4`ZzQT<&$?~G?R z*S>(=?-9LiEuq?o($<^~zvVR+39R)g{Bs+t0tr?TGz!^YS#B8eY(_LCqDPzi)-%aQ zy5NBuVa8UDsYti7ofd6W{DYrlXv^`n8^zr66PSVSyLfbLyV7?8!H zIfEzS-1(ULmaiACSv~N;~`@ma_{@YAtj0_3^|Hx=5ryR*X?wj!U22D74B9lA@cY&(JM& zFthvMbiyYb;4}|NV_jKy`1yUZ4>M!QB`T49sjS^)EtgQ_r9+bRj?e+-Xxy9uhwX=G z19;;CQAalmO`=AQ6Kc2LF6sH`r(&&r{IbAMTcmF@cpjjcm+kN%ih~9LR3je^1e-T; z+;Og*)Rr7QOG*>Or7qQmjG4%KIEh>G0V#A2!o9mV2^vx2Fl~mgT9bwt+Ve`zB@4rC z+p|O-J1IK>+Ukkf$&MRdZwMiqTcREER@d3abkx-yUsim(I;?1rVfC}xeaBYn8Q;Q0 z+wL`0?~7uV|6m;%7*^@VCklnK7Br27p59^sJXBnE_9)+s!M#un4Ea)+jzc(Yn0mL& zNM!}q*{EGdJ|z6r*HZrNY;p5N;wm(O)f#hK>X5EZFJa)81>mn?#%FLzuR?GWE}14V zdc;ei8hM+2)N!$VRn41>0GP?P@TSekaW$EvUpTg*vCgU=*(HW-YimjuD1Jn~XFpp0~#D0)vDan;=TYE_3n&F*K8 zLPNsR&N^6pb*qag1{sMAZKkZi&u2N;!h)&JX{w4vH-h)Ab>%NaG>d-=HzI4sN^424 z<|_iRSD&ume9eRb?gQo`3rDWVkU9Zl0g<}RAw_B_8@>Wh3pp&K6N&p(F1iMsXMsGA z?u0}uXoLEKPUrtr-jcfL&Gd)H)Q0d^@2)um_V(zXB^l+XKYmRG%{Kls@+R?`m?Tu^ z?b9<)qkDO_m;B~;t}l3{X{9z+U6`5sZIL2E9FJ=+u^uTp!3{x;HkpfX+lpr+^M<*q zAkYZwuf;%%?*fkxC;t9w{YaefU}Atny!%Li+RN}kg%80>lZWYd7H%z$^cKXRgH9_E zY)zy?NpOc_0Nr;~$mHm;-aZpFNHREaCDE;=sq+cqSNqAYAuLEB2Mo=SokJaa2GeE!yfd)?Brtu3 zDB{;D8GMfr`9kOKuuwL%JVk<>cLD~18j7U%&GhWhxBiA)6D>_i%182+_k+tjg-o3n zGoRxU^3HVmf2M6F3Vh$S9zs{edoo_x0aCFSet$}$;yP^oNuj(pV-7~*6VPwDr7e*i zbW3<1!UiI;x61&XHAS=Qq(D$e`rK&uX?l+W><})FwwV zeRQZU3b3?_)^swq-+I=p^8x#{Uh#sqgMu>K%}wF>F1=xW0UdYfMd|eH&mExzHol|m zY!BJ75#5Y7YoSuNg3sAVK-e#Uxu#TRNS6i4cJ<&;m7f=QnYq0W_MrFB6dkTMHWNYXH5v<*Reg2aGUSV`9Zg zlw2hoQ*-(kqa|O3K(%FOzLTjP6gU_n3e`avBNNiY8Vwvs@BuggJNM1me4p3}__O3k zD!-mjkjjoM7%Znh>9CBDX?w~Q|`Rkk7W`RAzJ+zC9Qq8B>a_mQz~btu6hhIk&t$K z9T@~Ir(W?Ze>1}QW!<)@Azw2>eTB`yO-Sn4Zrs@-)GI;0Gc+tV(EqPBil)0E^LFv!iOtTHweGy`8`S*O^8lL6zl@fnqNKy z>&jY8qt_TrrivO^B-!B;tH@0=2n+Hz8c9Xfz0WPhAqK6R%5%rm7YK|M%1mqAS(4d* zxg}5A@#Di6)n+^T=7_QkeR$0sxne<=-$&ri06biu>8`x28;4SG^5tPS6b7R8s@A3_ z)7sk#L_c-D>7?p4hC%&!pZf?p{!kRy;P!yH)qaP4lm9cUF z3!r)4K+WIVciKV}dsX#k0U!krKUou@>d1Uv7Jc^oR8M`kbAppqy|~$}eHYZ_pK>bwY1FOUKg%W0xY$;Z|o!a!1jw9TCD#xqlS= z0LtZ{GT+a;kh3PnrHuP*V=KXpN`7a_&O;m#`3yG*3dGCveF~>*sb(*3L54g3)3AJT zweQE7akAfwTd9v+1@^d-rk54HgEUhL)`2@qX|+UkKJ-UT)ola0gu@^QV5!=a0poq36ob`G7O8aR#4%`Q;KIY@=% zwe5-b&ew>+`^e944Eq7isltoSCE9(dKu;A8YZZD;J<1RYv0XjMmDhqa=>Z-509kJt{n008VjAoYuzE`yKxX!H>+q)hcem}$BIs}ULi1o zBs1dbF45btS~u>B-0N=iLSfa1c&|z*leLN@K{}WrZqre--j=;nryV;-^faO+I}U5V zTw|CeZB_RDv*Qjn)HxjsMVis?7VEX}6H^Q3XxUG&s$ktgyBzfUwJq1jE{1s1geynt z!Qd-3haN$Lh0R7!^iTcViw{F@$cVECSs19N(Q&u(N#Cusg*2PVYuD+nm*~7nIzBwO z)fl3FbEM$EE+TK;!5Aw&hegz(W^?+TxYM-K`^i*n>$Ore_7*Q5xdQNVHf9{tw2) zg^X00S{JKhH1{`3p{R%quy7)5*jxFiNBRK=Z+C`3S$`*XzZ&@Gwi&vF04`FEDz}P} z3k^50$n}5lmX~y>xb)#jKz9vc9#51`O3jT?zF9pwmbj+QmHrlG^5=5 zr}jlQ(VkMU2v9HIEmNtw{iN}zX>zWNg_%69h2a-kXmw%M3D9e>Q27ND)swMd9={`c zV#p6!7g^#lsZ1SWy%d#blfgA|f_Y3VS}v)W&|hLK4)b+FHDQlmeb(0fM_9{XS&@mM zhXYJ#Km&T}caC3e&lI8;azi@#s~f?<00!p%Ob(N#O8-T<%78XwIpSLFhu13n*(XIB zEX(ES?;2z@#E&U8Rrm{R5$~ca^krEXc~$@GFwQ@uN9zkS(|^+SbP#{aG%`wnH!F!^ zFu*oz+3>QdAg5IbuFg`$S7Sn-vaY9$MsFTWNeXrQnpT6$eAa51$Y{b2k_%D=Anuw8izUn54# z+cQbtx-8b*{~1zXrRLY1#X7s76*wAO#63!#$uLi)FHr{Pm4{o3spw@ebe4GeC;#)Z zZtsxqdgv5u!TZneng%HDdd)gzoj`Z!#k-zUa}<9T-xEdV;;4_M8!sR>WM|1HvNLV* zfs~o@n_ZORF+iftA&|>R(v1u&C_TpSai#*=)dI9xjd6>Vr*KXE@KCC436mWCO4kIXalhOuE-d*Zuj1x zdL`wot$%-O5~<-A)-TwCaO_%I7%&0#8Db@b3FwLXYs7Bl$V59iuCLJ8eCD&b0}IS5 z;la9+4#}8ZL3XDPm0}DF$O|A$+}%lr?A4?v$-sbA$5EfO_g4=3;_OneykXDN*?tXG z)xjrvZAOs%4Bvhqp`VX}br;%P7Sy3=L0TKWE#y=Q<}8gL0WU(Iqe*nSCpN8U{f$g& zC7Nhh4phW}I8+Wn76CQTE9X5VciK zYT;(M3)O2a&1d*zo*^^mE-0<1GVemVn`=E4>liuYsohfxJb^7D>x$ml&yX729w0ab zLlz-fLZP4zljZF`5C2ek)krj` zHYIF?yG;M_58c>ZZCCnh^p&8gomVDxQq^)_)U9Yi8`>bQ*C=;)xAmWN+M`sr|H*%w z*U(>~rC|W>EpimU$pG|&fACd8Tgc4Y5v#%doMyx!0aYBavqoM4PP~dm#jsZpkt&tr z&%}B-30uQKyW}lzQEbEsWO%W5UMV#WUC`1-!}ir}33T4>ghDEVEniC1#LO-5Z-X7? z+?Ve7tnSaOr_MOV{T1A+y#coUz;)uZtw+eZYcw4) zM6LW2Ed*{SAhPndl~;l=!baN?c?pG67;6R{x9s{6c~EDh8WOMcVTxt@-MTA1APk$O zcjr7^`J=@R&1`xL&%Y^T%m?z7v4YwbGe0?VNCOGBwYMW=FhR%Dqh*SR0PVSB7pXbJ zqs;NiE142kod>S8(C%KuZGGbV!txCCKWnQQ^ZS<_qYYi~E}kY(dk%sy#r)0J;VzYN zea@F~r(+&TOV&O-RH`^k18doRSf$&-kMeIJE(z=lO+zZm7ftec>53m32#M}mi@*Lv z9w>Hk?R@Pu5|PpmCq9~M0?GbOE zT)+Hu;CId4n#J?z8}J=!9J1o+%%VSQogd`*9ps6wxp~S2Hq(oX@40>N{&Ar68Qy=k z(!;Cul!9Yhn+a*=6$_K1kS`4WTxj9Q91e`z&th>q^i1c?x{g4Ib+Z`{Fc@2+>?AWO zE0=PLW%Po-WSW6nOw~d{FU+8s*)zs*y~2QCGx3TPHJ2<}3M+kHaij6lWc>K)gy7GI zZWp)8=DgLDs2_lLToP>B@AY_Xob*F&Fmr!?+q?hLuzwjHa3fvMNM&To zKD^G?&{Y!=>Dw|x1knR$M%QWyM)>C2)AMm)nCb^-hFPU(sIS96}vkA$IDfH{h2vR2L!bJcpJvFV4EWqoZ4P$F+^-bXD$K#)YES&*j(@!l*=xpv zL%WJ>>M-@d+Y-)y*EDN{vR(FgHg+so8cyM?&#slI{^D^hYhYgk4 z%|7)vvjrz2^YSmqm+QOwq&Bz|1vOACuaV_#(hfU1HrC3(Vxq zNt0r>8?tl2x*P+O2JSCv;;OGbm?OaLmp!OAH7d-etGMOwwnr{EYSRgN!8+9u1~}RD zw#I3nB5e^P8->n>V7OJT4YQrDji^HnwuNJtoRQiA>?D6G{GTK4YXz)I9O^k{!O5>e ze2o*=d?QXJd?X6gDKjrQUM(ueGK4fHvF`k8C)2P?Vl)LV8K2{BNYKM2$E0u-@qW&F z{p=jGFv#u55U_6w-j>~ic6$#iD8v3a4!xN3<}D`}F^e$+bh75t2;X##Hf#RV&;o7Ij7EU~$Om&<*fDY-g&Z-O-jd~((8 zZ+MK8&Wbkf(V+rwEM1hSE%k!CD_OC%x%X78t%B#Onuz=jc_s<-rFV!yM{*lQ{Wz-j zndiiWuOh*pWXIZtCty&Ft5k;H<*Qq76+jo7H&7Um{>Nke*TnM_^Bm$r~N6D zj|m%1;Ijae8p`oR3o6;Js`7`EAZfI3eP1p~U4k*!5c0Wwo`J?nj*R?+Acww!wZU410=V&2PG zwHUC-MzIkh_;Xi6ACeXm`Dx*aD;w06OBV2j<;O zP6*$5OAMzNj*^_IKafpR~r;>Kl22`y*N04Y_?-zvg3sRkwv6e_b?{(c7o^M)CPsAtdy88kmhbAw|X1y6-8)D(MS6P5kl z&qGrK(~PttJ7jb2m}`FIm3# z(nEWm=<=U`T!p`D|+r+{(SE3fA?KJ*iJ(4{4yT`ed42r+vJDU*BR8JVU zQiaY!=b<9;MKF7#6=nV_vR*} z@5k_{Te$;-NcAak*KUG63dcv45=RDEEbWtR{r%g#F~4wDxAkF}LB+!iE`z!(?`el! zm4gywl`PT(PHQ8Yg9*%qGFWHXvXdu;lQ|w5f4@M|Tt71;+&R0)E77h#xeZ^wW@lUd zU%yhqk}NC6kNbWcYuZe}ek@De?IUuzE#UwUfN={j6TF^B2SlADJ9Il4_VjUmrU`WC zQ&(!6q)Jg|mC#b#1(dP4WSP#=1j(JK9BQ&_V7CnSO)F8EEB8a$yAI4pX>DUp0qakr zMFGIUi{|KsBCt_Q>-Xut55S72IH)OuMFoi{R|BS|CU2htZ+c)lNg0`hX@U&Qhi=o% zg~Q>EwN@~8Y*v#+loz5?afeHTTt0X(jU2<*0Zvr z`@R|ERksN~kX{jVb)yvFe`dA-14#>m7wFkPhykCucGU7RP?e!rDcG~z9yaL|rwlmN zeOjU*rAV{wu%F63&l-L8bch5{NE^vY7Q@j^69FqBx2?c~HIss^hX-W)!5d?D?&-pD z-YGQRyx8MH;YUHP7>p$%D&g;_DL0%Oaw4Lp5HxrQ$FL{ zXnind^(7iVXjmP8X|@P`!&shsSMDlQ-Axz0*v{7Y z94Umn{9asegvhfNW*l*txtp{#?m1$~bGkW4L8!v0eiJS(JFg;*ivoJ)NtXVGOci7Z zy0{Ii^#V4$u5F6;6?8CZSjK=s4ICLxW|X&gF=jutaND=+0Usf?i|Rt7=|iYi+mJA-dGL{m*>7Y@7;2(b~y9( zg|89rsQRKEw>sb7T#H#=(zm{vNQWI&F2$n^PFhgWo(U%H2O$20vlzEvfK-J{#0>=i z@5KMjzY+QUJ=teJi{EU&xw#yrxq{tNe;1?z4eyDJUB0I`vfuZ=TWTt8tZrE89fLEHhqQatw^XP7+h+ ze1@fBABRm)wCJSXZY?F@GciRl&malDbV|(`swV|aRCf48k5Ak1K5vbybCz}Q`HbNP zi9q`3dUEu=_Gp~XXN?-LNA9OSVr=D|{U$d)$&+sCX9Sx{hA2B`(c5D)qJ>rs(4*qu zXg>e<(ES#zgQlrTj@@#~1C;;%U9htQR#B8a0__!fukI0!U1tqTB44W-f74KknE zZieWj@h(7l0bc}Bma>_-P%OY($kHg#CY3jgnxzdhmq&zL(3aGHL{c5VM~h)7_^NLl z=}2cVK8KCB3pkHJ0CcfkVIjb2DE|9hinVx6%29kt1|Y5V&l7rY9jlnhQ%iw9s>$#7 z>|0nUsBWVo|i4vOMHb672jJ9H{yM_H)v zvdf(I1mq#QM%cH!=%pIjBi&3geS!wP0wNqn9><^t27%a3KBjue_I=|O1I<``^6$>E z^R)J0^r=MNn1WUcd=Jye$XA`xHK66&cNIB5WSmvpN?@uY5;#A!U0+Zv)*nx+=arFD zAFsh-(5#{VL#;CzZHBh^tpFQThJXld`yRN>OOx)8?=Uve_dPcM@HnC_rTdrwgJ9M>)&;d(A&prdCWBLlbe(^noYSXcNmQwrLN&hiMZs=J zGJ#yFIM*5t;&qvP!)^1ys)aNsujlvy-zcwPP4N5b{gOD^PKRzTMw&pfyGCS^zR;ZY zuVdEw#=@7IDS#p_&yv|7BP*&$Fqp2*XUJsS5~eh1KLo1mKEH&d^tg`@TU5GNz!!8tt&|+J-~i`Fe%|Do!Hxs<@EJ)+u=r9jU6sff^(R07nQU zIX)im@*1{>64vO=7oJYk`#6H-?rtZ32kf$yO{jFUhD|o=z3pM;3TYlLe=~g6yG!V? z9oOYU4vde$&EVssM)~jG)9FBsu>i7)N$0*9h#$w%b+dIAT-*4n96X%=c)1-Px5$K; z&3zk8s_A&^C0X$bxt0(CZ(^CIs(GDe{>$gf^}w2#XQqdzXIQJyh?i#=*7;>eVg1k& z3wBV=JhZg<*>r`epVu zP3|TF4jz1Sx!khzBp)?bLf%xE9)%y=~|g@eb$Tqu6%+)^I=>FZ;b8H?--* zwT%V)Ro3dUrxJ)di7b3suvufdCk~ExD6+)`p_AmgOexCUM(EbM?l>4_xnmQ)B6>jE2z0Tt|o$e*tkx%Il_YsE(;}$msI= zf-SGzh9=mc^PUydwoU?FhWv?Id#MZK8B$)WBGB9#yhV;GD&5qu4}TqjKD8u^Lz$cX z^;eG;U16BC^DOdo#C9C`!Thg6+f1>|!}iJoKL-rh4deHXDSEo!l6i}-h9=76K)YNu z^+NGb)Kf!pdMMP&r_td6Wzp#iH=>^9G_U*KVCd#_2@73n2RtCF(8QSDax7$(q z4nD~Wuc*95$uq2GeNo+<)W==5|S#eWMSv$AdjU@1W*m4!#%RvdC4UB_TQ^bkl>b6!}yvt zf2{Y%InwWMrzcm5+{=1U5E#dv1-d|ZG#i!Lh3A|(Ohm6`Z3?mmkayl~_n8wg#bM%` z>`l>e2q-w+rp8LbC};x;r|B7GwC+BTVsh|}q^XPYW%Q@&;TsO3gf|G{t1n@-;tnBgoS+{@--KYo8xjD%|IbAwm0RY-vpcer~VghVt@$ zdn@3%Ed9<=LeXGU@FJGRjq=QupM*NDOwS=L!ObWtbjRf1 zA8I1Os+4Fa^u*n!;)cWuJRc<+iXRfUjS1!fP-o4kz2p6 z&f=G-{qSY7Gz{pG_=Aht1Eq(&^_4B8dW{DUF!OBh*JeN92J5J&%AEeHZR?7~lw2GEjR2|(q z@dgC7ovfc;PQv}oltfL-C)7}^cP>*@sr=$x6Q&hcLJE3;gNs@uAQX#HnY^YHI%~8J zI457ZQpIMM(+vXmlms{fFQv29uKlAcli#q>IR)vc{4jmyOvI+FLrTqJ{~8X!8c2w)DE=gH|p z?XDc{syZT_0Xo1Ic1(6(C7b4NDC%f^-JzIbpYr}5+X#T!W=SKo`uh4V|9*wq!)WX!Bp_o-M|`?>f7axAs?mYh+cG zFv3Q21DL#mYF%`w-~S{{2>2Y!RJ#JuQIZ5!SH*V4d0Vxp#>5^_F1SCX2 zDFFdR0cjBl0ZF9=Noj))kpoCKNJ^u0cX!`;-uM3e{(Sej{_z|RoW1v2bImcvTzk*4 zIy(Mn8}+XD3TM`*=!o7WFybil$tv@KUhvvK2ye|$f5oRWpK=aNl9j;rCs5|plup$C#>PZoKmebhpx;=9%got^my9$xu<@RZ3g_8)Gv9tuF7}+D z<-CIV_Dci9<0En5cNj%alk7|r9yy0TT;g}q{`X%G6xfLPL$op}Mb1Ur@t*W@0Ngp^ zhRGYX9!9G0j(ZsA?$vAMKUtM_umkSYwCi(6U}4yprl2Ct;s%dy{VjTIB$zaSnW7uO zMXUU^zf$)O=A~0(>LO+?t7p&y2i=<)ZZdgOQg1Q;w%qjXTexGUNQ2v$dAzYr%Pp6* zhz91BsR#O!G~p|lQ7c5XRlZX+uk{BeZ#Vvf61s(@{;He7I)AOZa4$O;X%bXNcc{>? z-wqI|!~h3m_ny(wkmTg+9tRZ@O_P&1;K5S{Fe94*Q^m=mt^z=2XKsw$@W%PvPx+Y0;_ zX~#I$`-P+BLTlw3Q%=;%devKKpZlBzc3AB@^LZA|R83hQ2@4(Zi^a!@IK-5;;4|)Z z2&yw{(J=i8p@>irc;DE2SyvHR@g5ANXM`PJbJ*)k;>Lhi5=zFi*i7xN$>w0LT?3Ab zn#t*RP`>2odb-+M&cCkWjfVH>%2GmDw2N3D)3 zmr%Bah5`Cxq1#n=#URkd5w@h*bll+C7S$m|?`@cJ1R=%6+JuLW4xGj(hKJvGd!6r; zEy10g;B(Tza88PLJ&dvOgq`1Lan-4Q?*=%kYi%AAu z<_Kq&OST1UVAM}4(D}}M5bLH*uPrS38=hZsqx_%mBHZ5lbATi~=e6w#N}$h`kdScl zPntZyBXm}QClt9v*L?_hYN6wU!*nB_i3FYR>I5b+NT> zYH!hCjP6N&aVwHwH1nyYZL}P_)e_!my1?L*i=2!yXfyepSSE~wH7IPNf2w7$i|=t{ z;gd_^(6z`q!}$`)krD3k?B!A$sAn+N1(1SM8ev?j}}Q5|z9XPW{OX)JHW0*J;D<^a#%8r?)XpMl!SZ zyx~{*9Q=EMjb%9ZTkR*(NISTPTZT@;e~aDPu$+Cd`Pb*6NqDM%cyIu#GzXp``V0Qx z;5M4M^V-Gb0PMpHOg1Xt&bEF8a}bMz=eU6uZc3Tucr1B!eyIM5-bHz4<4Tq@v-`9> zO*SIQ{&uIc6!{KOeblg0KBk)&{2j14yO_4kN9Mo>cIqQ@;!oEpZJX}DbOB05o{5)u zsKo1y36->V!ZvW-$?WwX3ZQRmnGjj8m3P;e9DdR-w()GIoHW1UsrmT6lIyp`7)*G~kA_}s69llJM9PhcWHsak`QB?e)wJaMfPoF*DhRVyM zr(0gpwsAKy$lKeqO5!m4q04z+Q8BoQ%w18jaKKnW=PCimd$~A&td1QVkru2g%A`WA z2R~!1*Jf8&e@49#tyz7bUs7$v86cSK`<~EO?m4& z85<`@tPlS%_jOH5yuKHnQ@yUzS1j%8xcOl0`*{~Vm;KzM8H{@i#P>ZpHdT}8Uv(X5 zrpfLW4AIa}iq#HLBY(bq5z1w0X5;7^UpC|BzZ)AihKh4{Px*dcZM^m|BKs|d z@VDvp62+hYIBE?Q z#lK^V`d!E`Ow@aY`X!e-pTsFk+MGh)$pGp^ej?S^h*M#=Z2a2nd2Y_84(bq5yyae8 zXFO6u)Lp14m496R{l%9BK^g`U_eyTz`no=mkA|9IL2XvWWWkfmY*tq3PcKBx4e5%p-P;86iwp}b0p7ZXDc0tIS%pT9Wa z;N2y9rORok(%Xz>cj1!zfhTvQxM{ld)YQ^4ATkmsGs|*(EKW*XU&Pw=Ytms&PVI-L z)n%)tLnGnP>Vu@1{3aYWv#l={`OU)2+L>z0!fqkw9yf22y?nVlp=Rf;E`fFITpv2p z#Ks<5SCoWTE^b(t*>&Z>sd=w)sE3{Ad5~TLt$9~ja^cTt+-`OEPTB`JJeE=$#Y2@- zPlk4R7>!nl5OVn{KAzdjrziC`qfye{zM<6E$70r1g}dx04*CYmHA95d*FD3#NjziA zt(V_suvl+l1X-1;KYPZaRxCJiN%rBum$g~iwxPH{5(+l<9-BZt^;PEP!l?c(3wEA- zldzmBv2ofN-!g5Hh_|JL+X;bul(coIDy*9(>-f6vPRifHzxNQYPx;|c+&$#08xgAeRMsAn)fvtF#0g#W zy+fDf-6X6NkG8(9{L||1mz;gRMK^hHcsl8ll`^=m57E{1_piS4!u)*tTlY2JJ5Ekc z{;%YZ2>q)saf|xu4v&uT ze9g7BwP`zYM%RXa|HexacXpe0zRARt{@oIWGAfGv^c27w4-b!xld~_5S4fCLUtb^b zo&utqw+!F&fV}t+xs2SppG=6bad6Z}vZ!trc75k)YHHFedWwhCLhFpETk3Ah&df|q zOk=3SJ4MJQG=X3e7N*S5NUE>%#rYT;8_2HxJrz8o${gqL(avNerPjL7lLVfJ{Y#cq zP*8aKCOH@mGMH}^tpC%3k%i@QR#p~G%NMmIaSDOwT^`sdIAf-_k|G#E3QTuiy%OAC z8wo5c6Mg#hX=-utRbgS_#lJsUZ)qgH_xARFZln&s+*{`aCa0+Op}@evo05{J`nvw_ z-@m`!-~@dNxbNO&8vaK!c)PVog(V@nwA%*;%0xGb1SQaZYjALcFf zqob9-=SZ&cAqN{1L+l$_+8L9RlYeHNP>)#eCpUJ)3plr(Y`62?ynVY!WkKcs{T3LH zkCBl+V2yf*>0_#DEDtULfxLnO78nF4=}QqK)Ckd2OH3~=xmEt>W^;41+uVYX$~{8O)+f-> zhZw%u|1nSC54agUj6V2|FLvF(e>A^-{Ti-t;RXKkZlu(128>(p0v$_COxzW3nQM>r z-;Fi##4|COz}^`d9u{1xDt^7Rw1gn;?(Q$g%29QdS3W3gY?IK5-Z;JI^6FJ%uKv%- zwYAXtdb!5NMzr;6YinyQ{IJmdz&0)+Vfo^g!7pf5X1@3*Ep)!Zd4*E?c=2ZIoTI3y z=w#Kwc;AX-#D82Hr8{&Mels}JRHHJEPR>?tsjnJOzN;0+*Q2-~PWA%;S_%mY2W z_jc7s*g3idgDaA4w5$jrz4%pFiJkk`7s=+-TiV-mRJe_Z*f}{Hik`J2{n)Hvk}L49 z)Q*>q;r3J9M+L^A+=eBS+jH%QTP+OyZ;y8^^5m`26a7LrNbOcbx?=E+*ml#WPyGgR zbXUgAnye!~i7Lks_QG^U#K+^M?#F(%vQJ+IpB(>;3|3@vbE*MC=@0s3GQNDdc|j`8 z`0UxU)~+sWP1;n!(&1q}7+D$2{v zx)R0IIRb~6*?$BF5=O%CT68A(SGa88*La{FjGrQ@+1d9NoIb_GOb_N6B8M%TDq1#0 z2mAZBgGD(xISyOXiim9Zbt#&}&Vf=p6Gj+7%fpis5o;rZih}B6{DFZ1#Jee&>Wj@t ziCb))b)*izETivLQc}nfNYXYqM-y0rO?^_g!_oFL#?@c>&n^<`0MVWF(LI#CR-Ntkwq1|usgj?KT~cb`Ag`uO_tKWn?H zXJD}WaNor1?DDV2#KVpa|wNMNSeWSYie~h zBt4z!bbrL|{f7_lAS_`n(lpulyv|Q8a=ff>ME$luJ9b870g<`5xcHoxb#_;VNMd4Q zTHD&{lcn74*GI)5?9@`E>CtURRe7tvY9A>oD#{teF8!XLp9g`sH#m^?UE=L=abZ_z zO^plyQo>`(0u`+$#NXiS_O@e3vJ@@k3B>AxFN{u1tKjyhnn7ra@F-XB9gJrVJqbR3 zeddEN=wpA1jfJFmr6GVwzB^g!^PE&M_E5f&_KMGkkProcBfl9bx7}LM<^Gnn4<9~^ zlkt*xSqoW%OJ?cynhZMm(}4PU&a~aSWHYzP$nB_Lso|oSC>d7eP`XldE5MPjCEB z)TU9g$jC56vEFaqsJS3cef_K#LR!d@m)OwI5FlPieBQJpj=!FF17aknlO{djLz7uq zd3n0m#kqkmd8+V}Ya+IZn}@qged5st;?@~OMMXWQZ87BQzxyQN^4T7fv{{aZ`wlT@ znR&|rINrqukn{6ghE#q-T%2Zoef|D!<@fL37h#Eb|MT36jErP;s~)`P9Qp~8_R4O; z>$QJ)OE@Ig1rtnuMWmomD9`Adp)gmNslv5%{AP{X5@5bJ_znXfg^LC-KRj~3zf^7P z@9&F?KF~7idpARs9P-_xIlHeddgfy>I~yBmoAawzFXf0-2B3G8!`eR~L^ehGtziD- z3G-Hh$GJlU7j zq}`{c+Bp_h3H&fEH5GxjoB{Fi@q?9@FJG4XH$HBhu`S`ej0GGEX6gnjYerpV+uS|| z`a8s<@BahmNi}5=r4_samF!?ZhhoU3Tn5F;i{{t)&9ENjKRy~Z$L;Ow<9C`@Luw%w z3mxa~<+%cE`hOmQ{)?Fh`&)T`0VKl@58oiDpKmZPT|&)Ed7W2A*uKOuWcjGE$$=)o)LV=iPypdLA#aA}IG|KR>@k z58}CkgP~-dR+I?|)|ED?$s<4oBP#q0$3n^YaiK-9f8RZxo9jbkBd z@wfeJ${6~fw(3v+^{t0T!d&^Rkc#t%tBEO!*f09NtLy!=AVO;E>d=@qWXZ_G%E~$w z5SN%30z?zZG-|bJ38S}iB_JT!YNoZr6}bz`62A1Zt*tE^8(VFfd>|FW$$r~Fs(F9T}90wBF|1@nV~58yi!ECSsES^a@H!IiU|NSKYC! zGAca5ln_B^X=zWP034W-!VnZ3Oh!(AGbHxSls^?IIr*2q3zlAuJqcO4d2H^!wL{2|`4~Uk7e+aS;O0Ho$1!h`#s3tSQLN zRZ>do$Fp`yY}QU$=Vl#q_Zv(9cbQ{nK!o(Lf9Y%*7@$BClj-Sc`^7(ukE=bXSy)&i zl$im$1kj*nT91{q@5;D#H~f02=h^WTbQPr1ND}v7U403tGCVTUFf>H<|=QBe+Xh1Y0l8yXre!A!r|=@j`TYbe0Z%S+XJ{PIs00h(j*T>lTH zrejtGC4e1>fe)&Knhu){tqbh0rIM17eXKL}miym)i2b#^{8(T2-TT%Xe6neep0`FY zE{<18l)G$za!WI@Q7Ae?!&sMjo{4jCa`sfeb;r7V*%SiA-qG=jvHN@n z_3G#^aw=Y91yfVT+`PP=99>=jvP;#~)#3wU+}uRK6ZnLL{Hv;@-1e6JBO*u%uS=Ho z9B3$%le1sNZ~B>!)zc^Vw3T$U`YkO2>&+L`V_IRMrn#|_l9C5>+*=$eEoh#BF>iw8 zOY-aS_@o##c>G~CzyV}k=Z%K8cltdc*$<(iP0v%_Vk78zhc)~I3aWVpd;9y%fGTj> zCvGh|mp<_rl|N|;qOfWS4GsPH=@S+wCnqBN-~pNR#iWz`L2F8p_z?w4-(~kN4zfq70(N<_O32s;0wOM;j53A zIrCED^|+dYC^-2XXItG`9336`%$o^ED_ym%lQ2>t4GkBXUV8cRB~6EtLOHC9yf7D&zf*6^ZvAVjt%A6L6i5aBP)D7{DkEixL-BPOD?Nzm!%Qdc|F)VqBfxK5> z!otF;ZE3-wq@-lyG*TKGd|4@3%b|Sww)S=mM9O_%0b;r*-$>%?w{KIRz1|#dG9owl_(*{y6dasK zW89OKMY>XCOnA#^UBjb%6iCcLCR^KaNKo)e#!%4{u;=r(a}-O2M^x;eBM1Rb8!?N;k7wghaRDj zkbd{{XpEq&EOtprNqgV~u=I!<0!adMayUWIIzY>Hpmdmshlj`H!a^WGd~JXKRbY<3 zfq^&>;?pxT=pb!A!5Clj;u3;(h;Nak18_j=-9J}N> z!0&^{k8@GykjeCFJl|H?Qn0jKa?ReL zA*8B2T^uyifU=dWjc!kh*LfDITH&h%Hd}vo)y4UV0Z!dL<||Xpmt@QIFQLY6rg$E+ zH-|HXL(NC{4eOP~vLo`w! z?)jh8J96SeLJyTsPEKaPlb{X?Lun3`{*kaOKdH{KND=Ld#o1U)9dF4?DR4iCE5@i(?{SBn8t*u|Jk5WUfFzA+7IGz$T zw?aLB{Fo+5ZgqYh+uYn7syd)})1Zc6F5va>Aq4KW zi!v^i$mSU^IcuXNRqyERq~!vQY$$i!L}l`_*!ao^EQm2V4GrR1M=?l^J|KQSZmM%DX-h3zjg;hR%w=J79z*Zlde{Zr4EH*{ zbaJpkg{k)IaoFtaQ(!MMpY5veEOaGp9j_FaZ_obb6A-ZO{qS*+V3J(+jCH%5x75ZO6 z^<$v-S*;aN4^SCM|2ScE9`R=pJ4zp5G307-d>HZpgzsWwb*t9>KmZFnb*2!js;ZiX zlFnHbggz({#0WQdp<}476TV`gAwMQ?KMK;jMRzhc*QZ!O;IChq>0~_VTwPretBNnu zC#wRdn++u0WhDyS3^>2Fa-3l(?&9Pb*LWJW&aAH!|Ij0hSNmRq{Dai=<3$e|AzxI+ zXLk`=hVirA5B~i5b3|8b>kC0I2ZtYg*9Kc#mGwAGP>Gzn`HQb?2X>s7`&BZAB-I~1 zdUQ?v6#;dwc68axf_O@jeh}e#j z4(=8f6={8TNLO)mEQ%PsnkpG;8}xm#FC!e3V*E+DYh_iHe_bOF4^Mqr5}-Tk@11{{ z8r-%o2YaI+UVMRa+>n%{yM#@cDbk>%0?8(?bX*Ru(tiP{w3IYD6Xh9}YOElGr>7pE zW(dM3-pmjo%i0e(IXE;QKKzC{MbDOytl-+;FXG-m#c=wh^FQ8H!msP&tvU69(z0cz zp@BhAD6I&7ctd@Ce^@xRz+Gi8AX`KwkLkr674)1MVNU>%)=uk;Ay$tIT~7e+S9b;a60R8HYI zl#N>wgscTiLg=L2u0oMRm*Czf_rc6aWo9{pU#f+S_AV||m_!id@dD4SUOKdOb~XXe z^voTT3NwBL+%yAZXzB`3iGFiwvX3&2)IRIkTNSW8D zT*s#11`8-d3eHEk8yTQlq1K;(few~AkYS*h8=IS_;oGkXzq|${Jt8{VAFh>vAoN#R z*^|FT&+1p0ui!z^^9K}#5Lq3atAN*}*RJ7$Oq^X@z#|L)>0 zg>C`}BP%g+@#!z&()EE1p6@FwB||Iz93LH7j;_r8?3VryCWK^^x$SY}8&?@@>;b)M zL}vxXU`lk>g0c$;4)XoO2Q(tKbg*qeh$yS6DVUit!IdPtdNX}gE`$w|juaUN$oNoP zu7#Pk2g>Z`3e|xBT%V@*g1T8=EV@vAyt{O`_$54{(o@BW zpP#=D5<0*8{!2igJ87CX*xB(^R8;o1#YIKYbJqQ`gRo~O0P0g#kfa;W&rZmwsXt73 zo)8@!9YI3#j*X?d8%pCpWbCd!1BOBZ0t$+XrXX!Z?I#f)lj;y4$gsUoKR8GUWDFPT zkx*jnDX}pmggqQUWpd;O4^RGhIU9Np1gL|Vxw*s2AUC9TQE~Bfv=EOrPZ5N?hUQ7^ z?CireUNTx*S`jHJpjn6|BqVkhd(Z+J7jV?R^GfRLU~h=Io3O>!63(Cm>kIfQ$f`@g zw6L(T&7c+uCP8oRZR9(Ig@r-gwyvP&JO~Q&kIP@-!O&;s=Lh8FagUCT@dH=&3k=M0 y9wO_RA!9e_tyBUrZbbpS?f=hq*Z*RpY{!ccqZ5TO6H|%6KNUp{g?zauKK}=Y**on3 literal 47497 zcmdqJbyQVf_cwazkZu7f>5vwXF6r*>?gr^pLP|QN1q1}7Tclg08zdAE5T)a;?f3aT z@AJOnjyLWYcib`VA88Rh4Bh(Mi!^Fc_wstdu$o2G0n7Xi<^D z6`qO7JMbdlDXr_N;bQISW9DuJQ!?{(b#(D`v@@sjwsQBdb8+T=!vBPWmCDxB)79e{ zJG;}rZ+PP3Zo|%7+fWG_L35SW^MJvy&7dE+ccNu>Fj(`MoRqkxZ_dGrUx1}nrs&;7 zi^8Fn-ZTF)!S6^}&W*?gdWK>|YGP4th<{?S;z#+Lv9?qmnXHLF8pw2e=tZE`RfFqw zEEuFlA|9G1{rP!un;jx)50;Y4!ZUwnxkInHHOi)+N?Pi2x$+gs6~m`N9i(4!-(z?uCX~`WM1%f_7?p-Yrv}%Uv5**{kIMN8-a;P~Z>okspC`sh z{;zI$Ty=(6F?HeV*-$1HLnR0QV?Pk}Yyh1uy{FVSa(hn(`6j^yrB?Q5`_xidt^fKT&VohQR+z) z_Y#vV_^x^?qgXlTNpXy?y3wH>)W(Q}z`q9lF-&4O%-syM$BKf)Sp1EVI0{E%&|NL$ zzg^z`Z}Y+&MfD+PIdwb!F=({|bd#`W+~D$dq&F6svV9Bc6d&lVp>`qjOFo-OcLOk; zXP_zciv9}nX&z1vqTWeM^5AE<&j*kC`>jQvW#5=Oo}>~pC(%bF&d9*Yzn;RxFV(xs zwr|kfj#HxhaIaD{e_ng;k0R@D~y@59H19_n(#H``BL&z z8(s>>t#mwdev^hr(t(qh1>NY#>`HtbgmMZ{Cc-xi~- z{(+)Ml++}%4F0dg{i{09k3TtVscKqGodhLB7zygToqTtiU&du_?&D0S;t*adQ3|ebkO~dnur8$bJFQfx znTO0H!(>=Gtr!joo*m}U$9O4uX`X`3Z&Kt;(j(Vi+{g!e_T77k?;` z*G~qUZDm;U0<92LghXHA_u}qa%<^5jU6nrfi5PC+B!SrMZZA#;sWVc>k4`gzY2&te0S2CefjH|i}}?ik!>4Q9n@L<)#=B|<{zo&Dowih)CdfKP&$#uRCt zDGDFX$U#mSFQ(?@yNsv2q>ByXz;rMe=TO?e&umhf&g!ka)xbfDs&9HKPK30d;CQ=6 z7khc1hjw7E#Jl_zH6P3qlbBv0!CThQYW5>y<}B5M@6T5aak=*~r+I28!+S}>Wr#Ms zqZ3OO4zp7V1w%sz=-^=lN;2|O1&mi=b6a$l&g1YFrg7pp*7r(yNH*8>YeKMn>w|AY z8JRVFr(PAA49sel9NZ>dw+)MMA>AaJE8thVbCLruW67R&_XZy4xq)*AJ;6*!DcPhK zfyslDx!w#bV@Fca&^=!dr>qlix ze|qO{It*;=nt35GsqfqM+m2-EvK|lp+Bdl;Jzw=diU}G&3OaAQ829N!P?~nXyPdDK z;P*Ztx!VoCLs`4%=W`vROMk!D4!)gY!nW$eD8^JgI7Uezv&#wC*$Avm8>0KG%S_AC=bV|a> zqutI0-x7D8HPnb}%@AJa2n!2ete$tGz;wHUgnxEkJ3G#Q=<&OkCN_$ABYr^;m`Uht=G?Io@RDpS6G=aDLwJlgNGv&~rpmp*93?<&yM2y_lS*4zdjP4ZyI zaR!`buZ><(*LLh19epY<%R`6x{u*LPk}uJA3<6&dGw9cwe11_X*axqD z?e_cIqk+SwHRH1hVP4+Iviu-YnCpy|&c^%taedbVwx;E<-TYt*OiWB!TD)UlA**~! zV7FfkSk51ztEPS5PB)3FsBmpDyr}HDVhQ;6n6jrQ93{3js*thysPp<5T7jC5Gg6u) z)UX~ZWr1x1L%;3R=8Y(_Um_p;&wqLaiGhz7r9}t+%$X$Y*K~Eh^8@287joDJb2rS@ zvf{k#+KYKH`BEg}&;A_o?MY4N6|=~%qy$q}SB~Aa-VKhtz%xCe>x24>sf3^i!Jo|t zHaTwn?FkK5GPO}=rU3!uC%)uWRaM8=x6%`_AlO^!|Euq(`S(JIW_IO50|}G^N_;C3 zx~#~0X(zx)@Y9W7Fp-jx;bOf!`SwO-^X~d+VCW5l+vynJ7BHu=p$HN8Z>TV_G^>vv zKbo4G!>`?)HJuDTPB68$Mut(v(2R@T2Lv2gQ1<%m<~H51X8>GK@vq0)m5b8Cj>}a7 z(Q9=vdQ5RdZ#J-Z54Vk8d@pIfyV{4I@feuX*^`Fq%a&*MAzeW@#Po$ zRpVU?o<;+Ax7Q~J^%I-Z`FA{!L9+UFf)&EWYlM9ZSkEUL zk<*740V2TJ*92^{T+Gx2Y3@ftwC%5Pv#RGprIHNKJ_u=d$l>I&{U_2$Y% zgwf)mDXOS!#hTpEICtH8JFc`6K1qMz zXqA{Y0;le&=0AOQzuZnQYHK5d9dE|6Z#tM<>#w?Di(F7q_>_?}suP=XD0)c(_8Sl07a`F^QuIT*R z1DlIKHNmeR%fwS9$x;!Zn+?Q2x~Lbu<~9ucGsE(N_K&%g+UKtO>#nWRZ09iG6!xpz zj=w0dZ}gM7Na^Sh)6>%*f5ul?Pw%>+`-?(MZZ?TGyxTmgJ-|k=n8*{J?+O+@J6w7x zdVeZ9FvhnQcevE_nDq5#4+`byUTjeen60DZ=UtKWmYEB8fcf9o0W0G0sO8OL{<5?b zYv9sB$e^5~>pEI()aJUI>r+@=UH#s}4@8cW^x(^MSO|2-Uq8P-4{gQf!^R~J5s}Vy zlKhF6!5~2NFM-Y7exy>Oe(^H+0!8R*ujqj>G^1;m<35lF9j^(4Qiykb*UC!o-vZ0O z`D1d=i;N7CL*O|@R&Rg$6m@hw>gedW*uV~cRV0(J*&T{-0ro%)<^9EgX_iUhN z6coWXZp%JvfsoU7`@N?&Iy&0D?Osq>`M|}um+ZLfZth;f-~T#n4!Gfq*{06O4*&Db zUD101W8V!VMMXs_5{yD{^PI6iTXomni)S;y?a0n7``DW!Z9}tn0#@o#$jqaoN|RfA zWmq92`rVn!JrVH2NU(r?gSAfvYge;cnJiGsgkBjcOj$@x7Qe)5-Qnt{VJS<(p>hyP9u2i3;Tb4!BQ9caY-Cj3{!*KT(B_+8gw z6u#?l01|9LcINLd2$sY3e8p!A3;`duzH$`AxB9!3uj*IakUSnDaz6=TsMf(7YNj}f zfkp8Ix(zjaEuj#tH@D%GH!#twsRW$Y&v!ezT3R0F-~BFgTk)D>yY|rXplu_POAd)b z7A-B^oaC`+D3eTk1sYJpOrWcJn=+ndEDjd}mb%XT}2GZCJ z(rzzl%jv)P%p$50xZkN%;0wn$gj0-^=sBF{X6cGA)Z1X+{XDwED%V7R{rdIA#eir$ zG-rSQ{2?JF{S=NZ^6Dt~{#um)30%48!43-H9_P0h%AatCQv~z>KBB>Qt^5jR<>-i^ zW8_7M7mY|tO6m&GiuqRm>(hQ=5Hg#$(+u8LFauwAyjPSkE@%>xUQPB&DtRRLnI3f^ zBNf3f8az3PITjCrOoHeCn)QN$x@Rsrr-3%*Yagz=?x zlc38&i<37vhksBrp;Em=^3a|rF=L|hCA^%xWQi5b*Vd48NNd|x#=ZsRcgn@7+{!;rK z^3}%Yt#ccB{y%#F=oQT2cY_BA2q2BJ9C!35Z3kS-zFV)4uURTDu>g|W{{9_v>*oO0 z;}Y9re@j_oxGZZ^SE2YeO2N47n#IOqs>t`%S!k-Tx3#snl$V1t$4LnRmJMZKRxFW7 zN~2e53~_J#f2&4xko5*Ka8N zR`qz}I4^|po_|97ouKV=ROw0^`LVF(j7OW`FQHVS%~~KaH-@Bgl}ZcO>P(ZSs^e>2 zVnssVZ&Pu~npaW?u{p9c=ogl+Xbdj zF4Uan!Bw%db@**&;b5h;o%jimFTi&-AofGkcib!m`pj5?)yq@x?pdh?y3iBcIm3Ca z8MHbF!hgE6c=q%8a=^?}&!^W(+FnxT=wB-0$E`(ENpxznn7QepXzO(3{JF6j`3J3m zTDe8sK)1%)h!<$EVYs8_`irqWR@}z zib%Bjm%UiH3L!VK(h#`zu*H&)CqO1tRL0l7s6iW{Nezud!8(K9`{+ngeoB?nwU;gy zha_BqNR85!x?~SB;wZc7GfgyVtti0A4JQ9dc+QEZ+PoA zc!))a8-(Q|U@LW&V9SB^r_TFgIzGhBsf2%$0*&rzBeITNRB_hB(&*JBRAT`V=w+L$ zic`~C5mk>Xl+)0|jQD5J0SB;(8w#{!TCr&iz{mV!Akw$0vQzIob0^W!sV(&yefTza zDjN&x7ZN^JJjT;V)b;|_;&!UFv}Y|5^Sopq@hu^Nge;olf7yvbnv?VQR-;Ed$T8?z)t#5RT&!8X-^IfHyMXS(#OEIp-jBOkh5g}_o?=hZR|^6_I+=^c$q_^`updf z$f^cRw!e0xiNS2d@bq7Qwt22>;c-6Fc>C@d#&ksCkBoRG&DPGSzx-@*q3ZW%aPMNE z){qLncu7EHZDNd6$-V=b(+R|J{vQyz|6kG%vX#Q2>VhB>3%Z)lH$PhKAbI#O)Qkkm zt5-o%zj=EUEV{U~q~jk0#S*5srSK{L8#KTd4B)VFJ{4KRrwAUk<3p((91P^Y7u_f# zAs*ubC|RW&Q!CTJ)7Ky^?3v5 z7NiN$dm#|-6J=@FPkgoQv;MX&F@wSg;9g`!1uVp&ro(%xcFrVN7=Xnq!VJQ{p|J>r zMjeyD89zb)Kc6`;;t~=bQzR5MG!O=L1@o2yRs(EA5PP=)6$69mrA>YL5*8he7I3|^ z*8ey`C=8^Lun@)={`;HLliGwp3;=6a?UmD^&XQM%$a()qE^Fv9#(VKyCHMy-1MKbo zv$LbMgmW-q5Jqm6=Z0V+YE6ZSc=W&)EX4EKYY3)ub94KyU9Z0M>AGH-Z+3h9X@dhw zW0nE`0mzAqVV%yf#>S^m<}q^Bo~-$&b|s5CMq>P4&a3b*ZYwHaWK&5ol$c1h$}rR2@m$|s!L?}rpDic=m&~{Mu&)9T z1ezd?ik79VEl!|gQ6WHzkT8~_k=tvnU7V&?koq^a`i0IylSEs(ylJmeWUFv%tQ{DF zhl-ffv<79c&(7*bp7ese7ol5UP0v0A9+st@*`;Y|*6KXDrHufggx|VEGIO)D=aoPB z>a()5bDNeH7l|G%O-*gI1A0fRQ2>xD)Ruk~B4P`TPT8m4-rLF|F@^jtFC`poC=f1a@ahv565gQX^HDE*4hcIkY$)Z`+=L)r&H-j|d?B(TZ(`BxKxKRqgiEdF+? z^aokP0wB%qHYo4l5=5@{!Yo?b+D>wh0#FQ^oQ-C8zjz^R9N%b>s%O&5iAjc2YG|DB zY8C1@KvOnztoxJ?MaLgq;5q#k$-~#CfgW#<*U{_09$A5W4yN7P2yIem9fR&p^S2_2 zjk`a8Mg(kDYiq0PVZ+?!)qYKx#%nN)L}pcPxR^tbX!rLKo3t-ZQ-P@%TSym`YV~DS9F?)0bC#!QBQu~iAaIGKMr8;_~JlB;J{NBn^OYl z#-IorfRf0=mDiQR!V>oAfBp2!yj2b;JRuKQxQ@_Bz!5Lkz3MsPhc3N%(OW4j4Q_;5 zQx7rAf?_U{v}9m6CV*+C7*F)10=pwq3N6m>L`WK@v||!u#Go)h0D^9xEI(YA4084x zmro?&YmWgQ5WBbaOtqGkJ^ZVqp@Sa(6Nyup{v#5X8$sl@EF4@uhMMJrMyvmf!}i2~ z`_bJ$OSMQE_^OO&RJaoeiy)YSxAXJ*db>?H>SGWJNreBO!ZHwbQJMbY3&IHwr5uv@ z^+=roS9AV4<{2&kRG@%6xo{w(KZ6_1BwP9HS@v!7WrfpMl*mN9qUTN^%31TtkYO^I zW`uNy%xc-kH+Hn)F13=rd&5f25(0pPY+qe=Q3(MiTn$Eof`t53&W>$mtvfYG)Xzqo zIbHi$mBBASltV3-^~f$lgAb>&%qoh82k-zOo!-XksF?Qe8U_IpX)oOY0wOHW$}Uoa z-X=gTOIOV9*nTC-PyF&0L~r$^iUt9F-kKX6bvbCD9s81d2*aC?wgbF??{*TgK zjDbMy0*k1Rs5c1^^MVo(pBJ5r(tz#^4PxP?6n(Y2tq_fMd3tCxlSwb zZA{!9Ou%3u{+_#DeJ|Tma(SU4ARC-7|H;yn1? z2dE+iDbrNN2llu9jYRX?O-$0j8A<-q=W}kmIRjXG=Cef$*u8uv4P%#nO2s_DOWM@u z2N}yrv*?8Ya!cfQ0k#{bw571tqYg-jV)lRQp z?SsUya6Lk^JsFV^V&dKIZ_mRyqcoHSklK8X`iZ+Pq;D?s?=RbHDH2cs7jXaTCB=(D zJzjwqzZoflE;iH^p)SXQE=z4UMQC<{W<>8VC*WYov>SjVmI6$2Pr||nGlZY*r^>R) z4I{q+xsztj9Fan}GH;KNx`wBIDUbIS(o9U_Ho!XKgGkmaTHV%01{m^(iqldmDk@B+ z60&+zudAM_Ub0cA*3iNY&(D*1%ir%nEXizN-MkBYepE5D4-F zpiCi&?i_FQLWJ5+$CLI$Cl{7JO;kP3uR38kb;+~(J|)TT-x>y-^!Wnxmtd3Uhdd#4 zim?jl-c5)Aas$@C8>gW~$li6s1=hpt=4Mw^=2@<{w#t*1Z^_{Cz`G*n&Pfe^;q)lT z`z@W7nc35}`sWGI?sj-S)J<%j_zD5lV>~AM_C76*2%>y#ot)VEc(fy`$v_oMr7-3v zxnx8ho(oQ1LX!_d8JeB;{^Z}=OCz;7`tn5kX+dVJ~Pnj0WgKYJb#XdpCa6V2p7G1JxzMI zy)bgG!+x04Bj8O?EWb0Zkd zsp;sTq>pIDtF*jj4?2leek=gevnKO#hr%D!5=7c*FuH8U7y+vRAZ$!}1xh!1<@s)+ z300Rx`PcLIHKM{9^fV79_=~Ei=(g+@j!Ql@R4y5D> zl4%isTCV}Q0N5d@X*fCq@ypK)BB8*D`sH5bW@HQsI`>9l?)~`T-Y19=Np~K zAo3BYiMx6J&I_j(fH)3i$n%8{qgq!mxx!m^KCi2hLoHWgnNoZ`?m%Pt9r&pEOZu{0 zZ~ZCCw!mv|nC_YUz}_C?9iWy8LmC<+%O2xP5J`-EmF4A{)2(bwc074ih^jRGwxVzD zk3*KVl9c|cCL}*f(cl6j-Z}zodYTs-MY85EbSHKCLdI`5`I=?wBJm7Sk4Z2YaE^y@ zA}+_i!W*L%Z6GQuf37Xh%_>hNy;XklnhMq7$Erp$tfamkA1GYCp$I53ce;WC-U6?e zpy|H(>C@%W=q*GskzCU!i39lg8>?IL;@=VlHzh~Kttp#sLY$;8&EP50dDz9^-dAN> z>Z2eg1Sq5TML&{t2*zUYOs8|X{X7{7kOGwV}G~Xv&#?1)NQ99CFZwOeU|^G9zeeor?34tw zM7&4aX6-R@^5$-UnC|Zx@Le)tv}lt&2q!7efk8>@I|wX|vQB-M{O(Cgc{TYmC&cV0 zQ=Z2{{uvN2`v9xaQcSxr5wOGUyB>-Xlg}EG5cIp~VtzoRu{dD{B%2&;*V+%{@csp_ zl{&6;vDy&%GPO6-=tAH)LO)jY?x$&&Ea(bQ41gq#Vs$R|4ZfRg7Mh&7?%KD324XLr zKpgF%iVdH-mX^AB8j{SoA{STEY{3e4JAcUCmmsu($_Sv5UwkbSi3H-CK-B^9)if9& z)Ts;6``vriwy>8t>d(Bmh=mfTACP&m!=+j$rl7ia43j+a$R4Rl@LwfN7MJ=_4z(X-7QTsHy2^pma| zcUU*jN4*0M9ZU?)c_q5UX9bMq1X77}FSjuJ!GAs5fB@hFWX7xRcGYYbD zX=Zy=>Jq}&EZVN-SvZjkgps4q5IlROXiBI_b+oX~R@Gh<3$cK-qr~9wM`nl)GCqlCZ$!vtCCUqHE4ua65s`HF=)YO< zQ1(4<7A=}=G0$hb8L|jm^}`r+)jPm1;f4G`-vYiO@BCM8hu6C^oYp5D|ixj+uMm%)(NR0Dp8DFwpmGFn57Q^ zK_61{BAi1#e0CmBUJY&-_@rOf&FsIA+7E&lwbfN(fF_mWbm0sbLtf5asyQpzH z;I)|5)7Hnu`UD+)^{O0dQRY+<_F;kC6d>SDW6BnWj9cHgXS;Fw;jTCp&{Z`a4?3Ht zsq-Mx;ld+e;H&aHqDcSvp5A&p%ZF3DP;JQ`#jN-YGPgqb6iBU=z7?c)Fan9yTJQx< zAsR2kE79c|b6cADt`_f?9`(%h?1jr(jQ>jRbI9IT=<&^u?{wEWe@N97=00~&EdDq; z$1m#3s!fMz7NOY&ngx|YySL}@@mTiGQiJ4CcAKlh0~~Ld22v4whPEd$5I{lb`A>nU ziB-pyxY(gsM(+kICcxmE8|WaM6Cq7__sfsAk@N+<7Gh>XecWJG<)oQX9J9+}a*2L- z{8Dt?$;F?ny7S8ZV^dT5W?h74!)g*EsL+JL>M|ObKfUj&Yz=+0#R-CIZHus`rt#+j z{0+i#30#sbbOPTdZsyt-QRfcdwCu!5K)DKSplZ_c9LF6`@lh zk-J+MhusF1;+zt*8GUgGNER4W@;p~NL0Fb|lar{Rs86>b*6*|N=r?=HUijbZ7aqTe z4rbDPOSc@J`ZttRO*I`br%3EL+caC^!dtiw(fmMoQcNJcyPPMV=_61TNfq}#zCk-q zJ(-OH6i--k*%>8b-91JGa%v!IVYev>eMX3%!P6)+UZJIS5ueO_26l703RPc%wp=x) z(#~#T|W?7S%m8PzNZzzrY ze&HOnzv6yc5y83jwuC$7$ z?b>&RkHo2P82h%-%H`oLnoq_Ia=9!XJ9wpWMkT8Bzjj$|eNUz(P@x)A`!)W(LOISe zPV%1UDSp#E(2truvH$^v3^YBK481U=DwEqEIAO@h7Qi>dxCez6jmzclQH}U;um*JeNh7B1DGyht$@+V*U%0u`U@37^%VF$i-!z{U z{zP)o-2Ne^|6`xDG}`6nfC_nF>m7FUTYF@T-Uup=vf@UtNGk0PyLF^(hk#?4a)pmV zL&dPIN{+JmD)+Q&<}UZ!6vz?`TtSvVF2ET*-AbzM&n#{5- zU%W^YOeGYDllLl*VCXe>{`=VR{T+wr10<4@47)r<2Ez@9Q8xcYhT$maUotm*p!-Oq z_36lxI+f&YySF*s(wu6DdNMgdH@a-y{kQ9;zB?TC5np%tkWG1SrzpEZAKEaTcop!n zsX5Ae-m36v{vh9K*npar)sR{WwVaJ^Nc{37A=ofx1gEYvb^k-RyZ6(E8mA2UXITNN zULM}DGL{+9l?t6td4(QZ#`6-zfg0_F1_vFcCz7&b%ra!YtEa|wH4k8RT0UW@>9nl- z&+`MF#BtX1>gn6&8y*CzFxT!owy2GxQ`ZkKew0!ph>MRm2XU>AwFne+C@Cr7L?j=w zCZS8I)U^yxA$MkI;a<09*_zrjV`_1me)@sWpa35hPpw(C_uE2! za8X~BNiw9cg8455yqfFk2Vn}uXwGBx==2gQDP4z(Q-R8$_CrNQ`=RjA4)c!YlKUef zlH(x|4>vM-6f=M<3fmu2p7M;a!MG6mlI;9j0gcADi@~9M<6&-);$Q%s(J;h4SGVkt z2Ass2d<@Nl4E2xz!s;Q|-(V(id?Ze}&loD9#CZ49Ms;7hX za^!l1MktcOLOFMZsCqf37SsdQ3e64Xh);!wmX1f?bwt_p-Q^@UI8@ytrm%`ZrGw5L zf3z_$F!+03(aO!Y`*C~!T#l|EfA+x0$Os1!)T-7`h{Qrg9=*N2C0WRNbiZi@O*kvb z#V)ZPkdw!XyMq%ACF)RJ)Cu5Nuw~-OdjJIw z^>R7*{uU{_C23fikoa`_n~kM5KF>-BE&BLF9*DH3=KUE*J+^wnZx z==PR!V!3OtKiabjEb#b`hi|#|AkPnFM0GwxO{`|{YGBNiX_9v zh71hFG~2`WP6X9YTw9<{w4bE9^#?Olxn#mI59+a+uYOdzZKvvN{>>r}7Q#Ul7A91G zast3?5y3QdWk{aoZoQ6xb)nto+sniM*t51*19N!OwN)~~m5w;k99~@*H z#xYwmB+qkZh#pT1C2=}j($>!uJ+zifR;psl8~ugx>zq&DetdXYxlW~vN0Zx6$${-* z25W9hKTS$M?YO7Zfx@7u?qCdAU7nyr#yZ_2E zq#+G+ZZ>L2ozpxxk4S7Nq=l0=F`)$MA;_>dPJEk1pWvWE5@wiPme%x69ymHtcM5d* zOx+h#oZPjZ%EroPn0lrd&U&B_9|Sr-mqD;tC(%BKpJmqE=$%`v1x2pnxuFX=U3G~I z@O8tnRaykdPp@A%Mn{+S?NAWDsjt(1HuUBDK!kzU{X62S;_POy`K5yuL3tRAg)dUG zrs0Ct;9cJhSPNAi1o-+F@s<`J8kq^ky1|w4KTt6PYr!+Lf;UMY-;j{1yaRoRT--ZP zc#f;YIQt`<^%F-`#iL%HjWlT<#N}7?DeZC@k)8b|w7$QpZ&(@pQp#?F={9cjaO%=h zXi=a{5=!-w9?O7CvMsC(lqeHuP*=XgOUU3;#0M!UKPM>)#v>3D=+KgVl^L;Q)H%$Y z$~gGTABxeNa>DIJMZ11RAHN3VF-a_Sl|6@9Dr^ZsYbB!80bC%=wRPM@iG+WG82F^j zaL)KO@Ha^rb;Z{93S+{Ht1GWSfsV9SvXb(34Xu@5$ zOI>~4-C{inY6M96S6|CGKn45N)r)2K5jH?gmc!Z^&eJqnl36gPKX-Hq$7D9cPxDko zXjmhOmfD%qSFf+GQA7f1tf7d|xCwDA!(_@liynaQIX1Jocx{*%Yx$>99*q$hON=Np znl#pGyb3^X3}^a(tmS?6cEZZZt-N(+MA{O#w~rMT%xTXjclE!tqm@5*IFxAu_DzM; zjU9B101gBo1qKE-|7_hqhAJ>Y{Xa+Caz#9-U52PX==ukn35vnGxFwgaN1)hGQd084 z9d(3`z#Eq9=QR8RxG3R9Xm4gxdF$of-D%=GlTc~JyLpMd#0fGyhHG-~3x3c`g>GcU zw&wiWcsn=Tz%hCQ_u5R~>XW#OTdL}|W2yGpa?$8{&*FD3ZmrRs0}0L9^Jvn%q{XI2 z;4vIe41+GWfyTaAp({)O1|oc1=Zt*BlWD)s%z)ogMQWg?6*i0i!~z3UK7iujZ-sL< zaT}8bk|i0;dI-Y{JU=gnUd?bBoBGwTp=uisoxH(yw6EzkVBdp>9jwm1l+q8k(?#M2 z8I{A6AMUHzF!8PjAQP0554X<1nLl`w)F9orekzN4<&jNkA608RL16k+^quM|MxyBX zV?i4$=bthy?g@}mO0UI(xH3+ZkmncXJwy{gfi_kALnvNh>}5eO8(O&{U=Nh@ganS( z4s=2)Du6Uib2PB+@J(vaJ+S+gwV*GdT40Id zpVX+k_6@fx5B`hU&BqoYv|Nt1Xx|*ug{~Yay^r=KxvB&-T6d!#pN8cx>~lB}j1Z9T zw&1eUofna}$Se$X0G!0TPev09uSmtv;v=B6Ucpw7_Fl>1FikHRwtaIt!QN+u$`tMH zy|cWmhNAWXYaaiX6l1GhRkh>KcL*HW58fzNf+KZh%mW~S%Kga15ykzKchmKrXH-$W zW{d+)iO;RS^!aY-{a$_G#ihnT0U14QTiOERCKIM;@DF|%zxZ(bH#NJBZ)$?)MZrAi z(}=X80zE47Q=n?i(Gl}WTbWWpYHUkFkpU5PG(3otcJLJyyF&4Oc|nGUXbllxTfw%! zKfk|QQ#XuCOlCZLt`+yQk!qF?1*pQ26=bv8^7I^&T$kGW*$6<&7(e5cW1hsMN|G1k zdjS+iGHsJLz^y1-)afWkfCpemPJ9;`fq?`Oygx}ZBCB#Z+7EZmNbGx`ii12j%B-;3 zQG>0M(**}_As`@dru(k~!jv38%TBfNN?s>rGQ(*RI}U|f7F;2##XgbvzK{3$*=3*q z2vb|8R@EYA-%hGElceogR)fZ|gd#od#nH3)rS_g9RD9ZI zfRdjl#!^50qu7%;S`ON2QY>=Pv7sTj5MT8^Mb_88rKGmbzidHWRG6{tx@0H?G(5pfQ21;xzP4^C zNUD=4YsZ1%(I{syd!K1Xlk^2=>^JYwVR-WOqWIwZnE61}1A14#Q&X;c=Pd2|=EMmk zBfg}sT5;n7#Imno)cF|rqeI&tb}@Btbrs91a%RX)_^fx04&$Lg;dY3C+Gi$idQ{cQNv*GANb|47HQG`KEKtb*3gYfwh&xX3I!p|x8X_3fr&C1O3;^ z$G}_ag)pMe!Ug@M1R9ICPY(#gqu!zf)nEXLdyS=tdT;!D?dBg@B$ML|SUbhOmjq{^ zYK$HHT++f%T}Azwsi^}L7-BnDM)zCx%?n21ji_Eq0AI(f1 zz4yO;^Tp_R+_y_iP;buB?HA~uvw{-I$-@5ufe;j|+Jxb^VaszWt=~;@BTwrFV3oq% z6xd+EaDKI|dnn+LaKR-K%4X7Y-Rixss!Lo;t;b86SWbPF!*$q>FaEQctGu|EjfIyo zO7m?4VLm7hw4XRBcvzXaNMk_PYPNYXsW>(F#JVr!eAPOk{`zgR5zs~>?BHL}*J!6n zH5-{LQ>HW-Peyh%TXNq}456EIiN~xx-e7;SaF9ZxGG5%Q?M`o_E^vB0h-aC!ofE_w zi$S61zN2;^AE8m&G5AB#JJVZ0YZ&cQU$q2oowh0#dbxly!mKo&teN#|775Ol2m3$T z4d*@%SfvlqPiM`15n<`-+fUo+s0iLiGHTwu!Ho4z-gbIrn=q0G&UWIYd{$gVdu#hl zsCwD&IPDC+FV(IlLY{xQ?#nMT*=>D`2aMpzw*AD;AL>_Osj69g>5r!?f=;hCRbI1M z_pP@dvf-fLM4`dEuAUL?9-UQQVY0!Il%i?znr6^H{fI~upv8^`|3swd(VTHR8gc%V zNX=Lv@$Q(2|MI~P30RCZRoa)gw#d)2cPEN6QeU-LEw-A8&0+5O4S&=bwx@K~le^@I z(8SXhr{*oIWQ+Kt6!bfx?|p=#we%*kVp)YX#Ahh*&vs^5n@VoE4HkxctaXKd#fnZs zny{;xlX9gMXw;3V_t9O8C=W%_s9X4GZA@{Es7?7r!AyqvPCJmogFOzhpsItOlZCVU z5#hEneZo_2>Dk7HGzKL&Ft`6O9VfRhv8l6E%}8CbGJ*L1?Ty=3cGI~3r(I#5`1AD+ zTf@*sSyh`@*Fi^tR+dU@aV*rp99tV2B0yPcxn4VFXN*&FpZ{@Qem!=~8u$HN zq7Uy&8UEx=bk$F|l`%HX4mX~qeeF~n&9r95rw!(68g-GWAYc4SvA9WH95s*G3AC7u zteA=Yx!M%%!}hH$rq0x)mM!^}U+vU;%=S4(XBE-NrKMj~d3)`2S^i1&t!g~Ff-9`W z)I3q)LCKW#%ip*X4|aX*_LCEYTi9lx5JF7m>{E6VO#B(NfWM~4?p+Kcra_Q zO9>p;Kgm6T5{gC0;QJu9n9|2WZ=%eyPKS;Cuv+W8f|D6d9hswR!D(x2_3@?T?srTN zsS#mSZxeZ|=OwoePFhV(d9tDkAI`S2)HjMsbS}&w!70ZkAaRa%$`2YFfiU*=2mP1K znaF2dahc6oK3)Zr-jkj@V}Ck640tsnnv!U5@yUJs~ijK&Pg`C4mY&P$S5>z&Z9DlGnRq;!KTlX&tQ`oNtB& z2tloXN};5h*F^^xIKmL*f?7EEcK=dk(iA4;)<~&v_T$rqr~T?|47h$ptkwlyBxfHokn+k#mbKY{&;xx@&(fs zSo!H$$+%o|qzdAoM(FF4>m6ZItq#+D?R*T`{Jq#*S~8dAIN#P_WGYz!+gI8qLdW zcUS2vQIw^RNWt2Eo0ygIW@H0z3dgheFe`sV?V!NzwuqAvNf}vN^AY%~j52nDt%n0{ zMQr>&(3uImU1QPfiFTG|Z{@s3p?_x>vtX# zpu#NXgd>G6XvH5;^;@IpoH5IE#^hV-dnl{qW%uH%*n@&UUF!y^8BE*E`^r`?szRXV ztJsg+Q?E}#8GMj8j?d~nSI~zx6zH|{q&{3>_z!jQvTs7wJ3<1`d+u{BVOTN2epKes z#g(~!1Er`y$NG<BUG4As2^fqxw7DBb(F4@cz=|jEqJ+rGYYy z#Lvr?(~$G$%b7tIAH)nmg!Apya~kgn6SG!&ypOo0*pxn6A#>K1T~8<)Wfu5T@yot1 z{dX}o=MN(`e$*Siaf8;}$1EekMP2L(3a-B9w4~D5 zYunYbq8+#F?z$g89m*R0jm~7rl^kZ4)x5tUsoHSEr=eB9dVfUeCydySqcVELn5`mI z5W<-z_q3rgoIKNzM2mafZQB{;&u^vPT_QLRfb&cX%Uno7z19L&GaBK79`~iS%O@$G z0-A3=0)(PKuNv3J9MQZXIrgJvSpR_UiaBkc!{-w#!}q}y{-?Qtmj~fuqh7SNCpbI< z*=UYmDh<3xBRx?i!G?Wu-}R>z#CYs6Q|3nBNlroy*8p2&gSk0_M^^Rjnmgv1_UX3j z($~*SlwFepAMk=Kp75Qe3rZgzGtiStCy*VJ2XR!sX`}RUoihIZ)0fQb?P%}G90c2M zFIv#ky`RA1ufun(vO8v2M{eg5dVxf88*E)XvpCAEqLqt;{6Z&C<)UL0dN-80d1p zVq6X?&&*9(K}st=ql6k~6^6)yOi zmxbwT(78IZbmRM)a7Nb7Z|vw82D5W!VIG2m6vW3Z=#82dnQnjv8Sl#UyPH?WkimiI zgND&Y^pS6gy4n0dP{zJ1@`J=c|N*)=H+_@{=j8o@dm(>%di@W#|uwV3t zi-9V-)-3%z@9~V4`093?o{2}8Wz5cEg-p4&ujkkdaPBX%-dE#Tw9JhwBaSl&;_@3? z;&+(CXPJZEP_raxgK63W=drG_DL*+NaDzHqutEEOFLq;e-X9m_#60NIk$4fR)8F{f zy8DPtM5IaK<^Ii+SDA+B{qIA>2uOb1JSp?M_~J3=VKhx)gQ6WbXFPT{%`YWM6 zS+0uSRlLU0DL13ufBwvdb4)R$_dOdK3{~dh*+kUi?}atOe7O8=5{w2y1q2<#YNL%x zwcFbfn(*NN(iDFJ0l+`lpMaYa3BbQkcSU6M*5>FxZx7XM+GNJ`=msZvs@xQ6|Aj(w zS_`m19dOM^g}Q*3p)AxkIcqH9+(aS*FX1LJ@Ple1Fspi&mEZdf z()32nnyxy<1guf`8%n-npD3mN#&oslP4nT=%dwR-ygIzlL#=pU`D~pu#~OEV`YlH* z-W(yzd>E`GsspPSIA^7Pa`l`B97huD%JyK6n zVk%_etLXjOy1s6y{&R5`WOyDmrc620*C_h_-azX~9jk=i+sdkLm>y9Tt+p;&Z9mO~ zGrYz4u8YfW_p!E)scetKmR+oc;E7J}ZkBK~?d$shjOhwibYCl*ROlcSsDGqdPo=WN zvW=r_@T(+OSZLf}V`nJF0|=LzaA$8Qvwi#H+1g>URwjbqe0u26WPd#H*-E8@qwadpeZc&31%)nimfG@Hz|NU? zCfOu7ghxAMe^040hHYCX8ZRI1AX!CeV9M$=)npF}S(#Tg^KwwH=`&mmB`3$cjQ%gO z&N3{@sBPDzG$`F6-QA%Q(xAl9NOy;HmvncdfW(l}-93mS-5}i}C5n6TzTbE3eH{Cb z4*X%BXXaUJ-Pe6x=e-8r;xCH@!|4`$)5J?3+0R(j91B{j;nVcePfLar~vn z&YHbz&!re#N%mC^z6g7Y`J>sw%lU*V8r(cDhM2}?p}rG*fM)?c@^aP!40fK2HpXDO z^0x-vKXx2)3YI@l8Sgx*UMRe0#fgjN&fRttI(&i^oSn>eI*mO+p9~N5%vEdUE;h|%LWdIc>2f|B}IT3_?QJ7aG=2@!`%{;}h zSI`Bf@k!w;iBdYKz5#me_4GzZkM~doi|@s(Yt7N(cA3b1nTni-s5Xn{jKG#6(M1}d zQw?be(u31ch!r`l8%QCmz3P6^sWm$Dtjg6Q)|r5}X=#z|&Z z+qb>fcA&X!+dHQhoE1B0{D>~J9;n%X>Fx0~D6RK5u;(R?U9a*C)UI3qN6)|>kQGVk z|Dl4psel=2y7eue3da7r!|%w9%I@S8icnWPG%bkdmnVs*%FiR3+Q0BckVKW=Z5NT_ zZ~bOH#7WCz)U?Ko;$Le@O_J&%3PE67w$AI<<2p43YoQ=Rqx_9&?g>M2;l7oC)Ckj^lt^I{BUuLs{}uQ zcY5w)`H3)K=CCM@Z~1pmkif8D;=>H^lr|Abc9}{%tRQ@=JUzzcMX;Ui-JZq~xkLz_ zqN4kg@p0VFUH(F`%6`+IO6-SAw{9}d-%7nEwE3aR3Zk_CjYmB?K#!N2umGLp30LR2 z^nY+0L4XZIm#k2IO{n;qxAy%B5khmX6dr*t46`>ouZ{6qWRK`Tm&3g~K0TFJggW;o z=9ef88uiHOlIa~1oTHu>?p3~#2Lu#1BLCw(%tS7pZ zwJ%&pf`>Ec2E44c+Q-Ib0uK|+88O%*$JviIdoG{iuS!|&{)!Z}?a-)?oEYzvPdCgX z<{o1Pw=+iXuKs^&qwG{~Hf1FL)5Wv(Xu9s)+2~>xA+PWB(4WvBpR|z!=%3}~eF#I$ z*8B*qjX*RBCA!Va%Q|_>FF+kN!pQZT)W`67 z&wm4%l$zRjhiqP`Kqr2vbEzrUUoYPrnp=>3*W)x>0zNBv11krwq5J7w6)1rRDTzcnOqcX0VS`@+WEJ_<0D_ z>7n~`H;I>`Q`Gab!#A>Pv&4fyP~Xq4%=Zr|qvZi@pKWF+e>4aLa4E_fy@V~p%eZI< z7^9Wj`-qo)n)BKyciOM@^*J}1G7>mhJl@zsD}EC_y6z*m{ShlG!Das0Kzs3+)8FX) z2OvNF+B!xNXa0NQk1@oj0C>|>8-N3dF7rCBb4{@~+UDSUX^t@~`iJ}7Q$$_s?+a7C zF``7?Of}%s%nQn$2>1L}+jTMn-e&g;qP5)vJFNb*%??F@Sv}~EPvJ|{;f>32VD-ix zIOGz&d2hKBtn0&=E8)-nEO!a&TJA9?ddGn^-AC@_z~WA7);%n6-D56vTTkQF!a?`L zoi2GUpU<(-AiT_=%2c_nj~M?~+_ z)Ppl0YnL>ZyjH~@3l6% zHx>E@y$N2f*Ll*fEiLw@%hWeDhKO&jQG1!So{x=Oi#(}fv#uZ1fq&^Csor3(JwC~< zX@2@B4*h*_w81C>y3Q1p=Tp=t0U;}xs{(YG*tz_Ystq(=!`0f=zk`?ULZ%lw!Kvk< zpjH!RnBWFb9Z+IIdp|FFsf(KY+kJ7^Am_Zp$YV?M@fU&wc?kC0Xr&;O2~4vvpL>Aj zdFMiDj$Iq{_XrUorex#xV%xHCSzp5;+L~AWi<(V;wVRn9A#F5v1B>p?2&~V2j^g4I z2x?0cLf2?gM)O`E$?Ot!e(=_qzz`zV&quWK%k*qP#afdP2DYzN;z0pxqD0ArY%DZw zm;`WWVKkZamzw5$VA5hpVUyr;oe3V;#&_4>U%%aje#UC0#T;Ff!bdIQ;_)+c_cC~T zlnZ_0d`%bs-o=7uxV2j}_;j*)Mrp;w$4N_B_4CeKm_4$`=%(4RITmc86Bn%6IauH4 z^n*373?!`cJ&7M1`j6%ec$sQ!!c<^sf!gJ&1bSgdBv~tf#cF{ z{R>2Gw}6r0d`#{B%3C9%gbYR;u8hAiod$p6&o?*g
A@Hx)MD1SC#%@+x~$T|7_ z`Klu#`Xt-me7|7hZhK)XHN4YPbXVxEhgUccAK9K*y=cyxx^B^=v1eoJVe$1VkelA) z=&6YIo&RBM!#m3?0#0$B#0&BvwIK zcJ;|1Fp7SUqDzks* zhayhC6GC|{U8pbqXeSzV<&qEtUpBWOye#{8w1pOm5h@6S<+3tl&w;dni~j1KxdnNX zWnmEi{T<4O5(EMuegoHY;u%03bng7Y@%Da4lfpWsD1Xt)`1rFAa>8tPUj~1sdFfBt z{Un*#s}oBe734}Q=~)lPsMm>)$gn(N_E#02`L-da97dw*NxkPd#RHsXC{~Vp93JNdmATm` z)JJt)mud!`zPp|996C#PhF{C&3S?hnnKN$eUQ(N(XG^M!`>>8cldy*KgfN0Jp@j0wp4F9*rig* z{=$(jCVLHwZqnHOzFKqLe@Aim17iJYGes8oAp`+k05ef}+^1j1gQ_-9w=?cCoxqf( z9ar%wk5qmri!S4&doMw1lg4fym zws-GmuUZ*px0L$kEL9;?YxKLphn6}!N%!*SFwH|KlO4)1NU<*= z?8GS$4+h!zqx)n9`y>X$|N8c6V@u#DFagzaP3StkxjD<6K7W<68Aj&m^vY5=yro)ZU4d{WJf=wfwa#+Cfoc@!Pk!ZR<^iFY%IqY@NZ2mI z+QVMfwQG$eUYz z(_CvRxWBv9e)HWU7(f2?1)%ag1)C8H!k4C|O^Wr~*J}a4%z&mWgS;MMXCGmjHERL~$`Dz(!1l3bH8iIJ zwcyKcPRys`FuJ!zmk!UNGErAqEy7dN@X_)v*5KkXk$K%zz4?c~r_?nUJwdjEiq)J9 z#iZxHciro+ckMwQL0(@lNui?6hrJBLsNRWKDiIs~xmtpJ8zfpSGSz$afXeW4R9tuf z96$I)#0cd^&-!<-JQ<-jy7RiXt^o(5A`h3vG9L!vYP8vqkO5>kY2f}-sf!+%XW*0A zu4{cFOrQJ~!PPp5ycROJYcnd?aYHT^Cgk#HWv(7BOL{v7aqH~cCHzb0bFsqiwE_^V zMMh|apSq)@uO7gwor8P#bxhnAB*O55Ze;`jmh;Fk?lI-?IZ>$@Xw=wovTsO|=#-HN zr-G9Ycn(ugKIeplB%|YYi){&@Y+GhAb^mQ7c^1FNJrOso?SF60y~R$`4V+*fnC@UH z(M&|0ZXOrmI?L?xBlS&^ABr;1beQ(jiKpLBS&@Q=g?}Wz_5MrBcG#vS$ecuJK6V9)k$S9*t>|&g$-KoT$4G;MF@k(U7G%qd9 z-?^L&tzJSnt@dm(Ja+ndR9CKIGkK|05wk0q{UW~dsHn(mwjPmiZx=c(%CR$0GAIU5 z@4fbB3enOJt0Y(Wr2Q*#@KHo$j{LY!5$^^ioI^8Q_)abD<%gcT6b2BlW=5m27SH1? z%noLA(n--}KUOgQqlT6}GO_qx`T&;JMN80q3qWHann3gZ0RQqJU{5JsixS%jc0s0O z;a@!nq~0R*Zlt)ixXHc^F0-F&-QDW;8i};x5li=Ya9SsAQ1+HDPZ8nciRYy9w5i#% z=Uq2Ei>$eDOyAD|&Q%v!g{on?&|cnBcm-KEb4rF7iNF-XS$_eoiLrY}L{{0D(G+bg zWL{ep-Ug8qP>m}4>F8ry+5Ble`*_ezvGaLkEgE%5-9x9og*Aw0HLfp-~pM+%( zDkt+Y-z_@*F3+9YOc{AnUSHAG{F7PZ@9p_d`;Q{NZcn=C--1p9 z=EDl&OR%%7I==E~iTJuo?U4{umuihVTy(@F0P&liQQGyffqrg7*m;B;I<~Ctdc>>( zlOyoqaIvv-HM(5~dOx^0+22L@W&kH3wt?8;SGf3;=W4;4t%JjkL15uHLj!L7$Yut~ zi(?q4LDcG1;svx}aXaT|b)SNh^1Hx%M_)$=9ZwN#`bM&4WN~ko(Cv=}N<9*hs?eJ2 z;x5w>X0~REQNssc-k^!wOgs6z(`_5 zOrf>JPdkADu<_g%XNA8( zQ22B!=E0=FR+6_WapHPy>V<^7RdILu(@$2R#B*Vl(3)A#&roU8Pg<3gi9FQ5N*3pp zu>N6J1R9cB%e+gR^V+5^xf97A#$?`hgQf64@#%TdmPEeo-EO{j=;o6? zM0y{l>FJGWF&3;6*>?%8dW3@|xrwEy{3m|<*4SG$=KixS38|>?D9ai3-Qjrb8H$!$ z{?TYByL5w5@~NQvJWp%0#+?=Oi;$j$hTnSV5A=Fdf(NRaC}oqSWURlhXPUE^y^-(R zDz&V9DoqLP4~O~DlqO3KMd`AjWCROX36fo-`LQ%$k4sNW-cUY<*qB9pK(sLyc*OGW zF$&X$HGE&3|G@epc&=T&u)RbsNt&lXOzIeKUw!$p+_`;Y0VkWQDxVXvT$+_;;7blG zXbV2wtnc$YihlbrFh{z)nZrzNFSQ`+WyKL6) zIoPvF*x-tj=H;nPRWOBWs{Xhchc$0%bdX)vO;aAy#7ocORJp!m!cgMhEfm$VZ$QRZ zZDi|Az>|l9D@FhPx&+nl1Od2hBTlbrg}lODc3C;k$Fa*yyLwGSJ#9*<;zmo7Y;}@4 zj5MpN=q0|$1xDGw1%MGiMt!vN<>?fIVbrDh!qTT3(>!07choO!Xc;(C{bO#AQ>T*9;l7U`E-w%oD1?qXiANQUPm`ZYt zW08NjS{a{V1Z)P6F-D``L1%}HbRubaNMji|Fp*@wvTsLQqqXi{3^pRSp5o-T4KM9J z37dRS-+kGCZ1R-FnOf^QTV^I4Q<7a--vs+rp~Tr_v7L}GZS){q#FuXig#oYuYH}^z zyXMEJ4xI2x==STIZ5a?f>1a~M1Y|)*+Y0v=p-E0-75$ufSF_W2Y_VE{_UrEU1!Hg6xj0iU>3s{LSgP> zkRaj$DU#`_ZF!hSrY8$Lfvk67D{rULmF|K8`sx1 z6ZMD7+u~WY9PIvL6!OyDKa0OuXu4I}z|TGG75r|RL!5MFg_`Z2Oyn9d=8+5L;(v`W zq`!}AkH!GfL)thhuT#7oO`eQIJ>REFFcC47m9{Tyw*n4f#99gNZ0!sbK~*?8ZLpaK|l z1&!g{Jofj!Fp`Y`SOe%-`TNKt)?!_RBQX_igals5mbJv_-CpHolVxsUS0B5&!hWoI zD{->DE6r;3ZeNy`Lluz1Th|<2aeY+pI&1L&fX^noF&PA$Tu%Be@?c^Kj#>-qjA$^yVeuRv3fbap-VMPWZ*T$}yyH;6phy8;km2Va# zq@bG>J5KJR_=Pw!uu1o+h%Afx^a%08qZsUaL8WKd-iX|Bb48bzC5hj6l;Ls!OGv49 z)7ob3fB&+?o=GDo@*$Zt0b5PnKuBWNfjTn_9`xzs*jcp}Mz;CW<6sLYb7KY;;}|4) zc=$D?l)pEil<~zJyxP1{P}4h?*3Pw+i<+nBY@bb5uod%Sl z>mm@g+!HXIz}0B@7XV04zOdKk*CL8P44g7$BXtrkb^imdO35{`?Sw=l-ua zh!p9Tv7bwa94u(zgHpysW%OVv_biYZz3zG=>7L()(Hs`|q)=YJ4i9rW!=iKoSK;}X zKmzvU#%NKx3?C2ij*^XI<>e0nS$pg@I`q&cvFG~i3~7_??EvkT#K_W&HnhTIh4pty z6(m1zMckG6w(;|-C_A^S>*uC&y`r_@ID}jt%?$kPQkd4u0djC&e6Bn|^`hS-JPh+U zA9!nT`2M{0skrwKR!-E7IKPKk-WvNC{|-stdkFU*r2yZd53tQjlcfU6*l~R7XMI5lBS2K^&{0|Whk4w`@aOqXf5j|CF)GX(Wk1|-lS+h7^V7KO%BqvxUBENp{Q6gvdx z70J?^PyL?BrtB3}E;#~1Zeu$V_m?K?#3KicULFN@KJL-ypDre_24H6d_lj_ea*a%q(=Z-Zh@+s%7cRvkEvOlR6;5J>0 ztXaDF8S;jtS6&zy%*Kefpdn0lF4A3Qn}~RXI;Zb{jb_bjf#Q(ltwk0}Jme5$?cTFV zGz4RTu3BZZY)BuEDmwPlUX$MNWLr*W9Rkl5qItB^JjaX7eq4obwp8*_R_FTvJa*I8 zM@!H&m!zf0K;ONbPXAu)h3w4lwXqbD4l(JmYVG(+Z}hP+_GF$**%7{NXiwwfYa2cF z@b?qvN$RgTDt1r8N)G3$M$FpFkY1)-e(m~X7RuYrS>REoGv*P;U1% zN>8YX7RiKJ=!>np4O{7-w_3|Qpy8it8{(%@B?-t#WIY_8>A>VeLah(N*W|!1FPq@3lr@D z4f{$3=_tb&t4e#JCe#_-y$}{%_UBwmR!}{_9O8@0S7_C}nS6MAUwN}!aQPbhygvx4u|+fe1e?;d(Yy^GbJk{0&g8PdsI{w zi??7C-uv@x0A^#^yBSC%L*V*ns!6;K_yy|2W4@Rf@yuJ4YNV3+Kh}XokRL#Q;iT3ZA$KgZWDjKhF2c4Z8AA$}VEp zX`(90Toj*gu@afX6)E>dDNEaEq^mqf}ascby_sU5#il;{{J>* zL`12hOtWB9ubx)JO;2*w&A&!$j>-1j30YOD$JipTFKz6Q+b1f2x^0Hwvr@Sx{CJH3 zYgI^b_GhS||FL&Ji*v{5%>Z+10|p^x%%Iv6S7(tbD#-vi>WFdO$MmBd_nj{_g`4(9 z)9~fNwG;>R_IyridUwZ6Fp4GFt(jrZY|>ZI&z~h!=f2$4qSuaM8h)i~0%4xRQg_Fe^& zcu|KcH&g3zTf<`J>5D&(O$!RGixd>T>hSDh;j6B?d`XB3=#VByzH4ht?{T$QHl%ym zWybXT+!c{jCU;*VLS6zfloH19g_o!|nWnHLc+!+y}IZ`AO zmT(4gaIs=lxUZ%?0ykLs1}ru0X&ZeZx@QW6zyv2A)S||JIt27tfvIo?-fHKc+e@+S z`GtLLT}oiOkSL4s&7Zlep&A1}7b@{>2%IXj6Sj zn^RZ$;SkB`c7@Nd!9*}WEIqOGGdVyY8fI&=D_Jo{EWDV8UkHHjKg36fJq#&Luq^8| z8;1_|Kt|^Uiy1LHCK>G-;3v)1_ZKvCV2fDWB=Z)zF*tD@N@KiyZ}nw_h@eOTXfl-Ec?{M#TZ=!VWa98gKsYd+B9BF!ybJ>NkzNoi0{ww7oZ{ zK!tKj=M<{R8n#C`|LNL|+saLYw_VMNV`#pbeM0}ZL^&sdgq+CT>uYJCm1IS;x8AhK zUo74LBlF^@@gdjSLG~(c$oDAH0;Iqo@VM3tckg9$wO?h+*gV1xIL7%Z|XR!_{ zuNS_gA2$a}{_3J{TE2KU?ecIskA(TgZt&yuwdqZ_6azdbmDvsSw_K*=jMUymo4rdW zhO1i`A+J|C`BAF#6-zp0U7ASvQ95&h4zP~XG=dckZ1NgnS7b$>4rw@GNNULYj?)Q@V#L{$yRe*coqceks){!r5 zON%1dbP=O~#ngwv+X&x~3lUt=&`sbS<`(60N?>iAYW5m^uJ|FqN=7X+5~)~8ddeWL z`R!Do-q%0vp9mb^H5!7V5*B?AmM=URm@X8hegT>kk}v5ipOO)%8`eCJ@% zBvHICJNEon?0^WgvHr6xWX<9gI8{~9yyAXG&*f)WZy>$nmeRQMFc!@)Cw$*Jyu`Qx zQfh|jqTpWcYk0WZ6OFBa zfEfRdz(DV502t;*;C3Bihn++QL{^Y|8z2I~qnj9yQ~cW%olmCVAp$C&xoI~iFzUIM zU;Kn3ENsWH7TDJ8RYlg15V>o(i4rxkeH+z7wFKwa%?alN2Mn_hjSP$14Fz_S{yQd% z$J8_qPDj2V-g3-FooL^TrzBCj)f57<(U_#jI^Tqlzb@^|=ombWrxVUO>fE=vE^ZV> z$mGzs{yTXfso}s^)w>XrwcL#)aThD(9 z0iWPkVafkexnl)Gj}@=$775q8I8S5Sh!be%x@me-Tmx!us^ zmUmXy0iXq&!xMETvonUQv%w5V60RuLxhaf(n@#=k`^T=rop)M5N=uhEZrd074Za|> znAq*6(xU{$``I!GCx6NTNi!9r3NMBO6aBY^!}6P`J>0}iW_8LOtW5^kH)v;wIG7Rz2XMFg7kWP`4_oTiV?-Cv7N4nnWQau z7FxDw8V9A~D-&#M2Rm6M5MRTwUw_d^p9aDCq(udO=Mnf!$m_i8=km(4P?mE}gJqx) z-ZfJJ*y=|0=N;-y&hfTci$wMkEdLp6bfSTy-B`O$r)T_m?55YPx=QR>kO{tR53s>r zw?5|otSfcE0JH$#P+M3=RIM{^k+^2*cTjA@gD68sI8BW5Njw8dR1i{=1qvRv(XTs2 zzSy`t=V7mJ0>I0AG47?@KMOue1Z&<9aePIhn-kGUnE+Ej(Z|+RtpmPZ*BkSw8Tdpd zhsvl@-MgUITlUN#xSYl|Px@0=I5pywz^Y7GW)yiq;9@+QXN3#VDbq$<&BE!aQzm+g z@*q2NKPpAdj`>x>295AQ+ZJEyn^-#~NVVD07Ba$KCdS*W0BKeWR#uE7(H7IW7L?dP zhd;(`8$y6o-ICBqxJu2;6A2pmp<+E)NakO0klUT|59oO!!H>d*4P>CWl6WwD5qMrj z4SIe&q90BC#i9?g8cYHcmGNnLdXMnyxqb{s62A~Lcr5JtxABveDA46K6vZ$S@1jqRDPY%=%J5m_A<&td z9H(}?&}#d?@q{F@T}FJnNQ@r&eo$_z5vk{||m|udYpuV%L#=~kMxPhp#_639(^0(yhnRQHimwK zxtckDyjLrxz`==LP469=A|Wra+GAKJTbCR(3si-xwMpFH-?Q9%(G|A!V5JW_HH-Wg zr8u7V%R$)S6SQI}jY_^eol!u&Qu<4%2J*2KGlvpk{r*{MX@k<3SByiV4S4#=6GcK2Qv{Z=Hb!%|unJqZBfcG-s{BH8ESBTyn z$9pf`Ri29x^H|}GR5?T=$5#%g=$mOUF$be}Q5CJBXD@CsHDW?+G{P#6zFw)UC#z^c zS$N8kYx2!^Tw}k+t8kOUQAoo$Fu)AR|49zVJ{Wx_ob48r%aA7q$KnLSJ;j6Bgl6x# zryaH7BaCKZWx4@xR0v`!f%SUQzK?3te}_u3l1F5@VtG48FTa9;Z_mS`qO*#>o^YK& zi=&jJi&J|NF&G*jh(39!LvNj;g#$oU_6BnAikv@;FoGmVaXn1QYITK7*8U^Oo}>M+ zPkB=b*T!p(8d`jvXVK-LItNA%t1{+jt1Pt$wda@aIr-+ZOB-_LUmXJyimqz=neT?%%;HQYI6^Tm3L&vT}#dBXd`DAi-5|LMF!s z?PHAQK>)rk;{x>U(TzBF6U$y^@mb47=n>-4{n1S;!V_zX;clO!(2xocZ}#V?c>W{R z-Dz#;50_Sq-D=MBQsCkKz^HxdxNHaJ&*FIhT9jI8+0%t}cVN&a&$+G_m?Q9TD{R{K z1y}^1<)zaj^C!u5$GQ2f++we*y8AOZGDf*_Aam>taqR`Hk!9}wK>%06h=HJ9`GEle zdD}m_`nuKg6-i_xTLX#})uDC&p|u$rLu}I}3HWkgowqaGc0QN7y@uDB1-3|d5&=j# z$$tFx1}=s5K2)ID;8U2S4a?Ej7XC{5Bi8f8l>qL~`Hi`ZVB;8dSkg&!+(+7#*D#Me z$%xOyt=U=_hX7tLFc+}`$@S`kozy8&kl2qiVPb=!yTe5kj`31o1bjDdMnP7MK$8`` zMnnKYGN99KPJQWCuM$hKovK(FgB90NV3iR`rY2#1C?P6Z_?NM&Ti3{#H0D#Ev%YwN zVLrF+IWQi5;4lWY+q!#ve%b})ls?kI)jvCbx{VpKlSNcY_q$f7N5w1C6hxkWu>G`e zFYHpV`3*$chI~f8jFbv?=Q5qOHVyOK1$yFWvMgwZ^RoA5Dcal)=1*@_WWFw@*e%(E zfq=gw#UW@Sy#E5d1kVj}Cdc!NeK6+N%z`fjjP}v}#>N`x@Qx;U(UEkDhX>4{z16}e z;Af3fX9NRj!>veRLUC~2H^iG6s98)V7C((w8xRunmUUfRIKX6Q2zvmWtwossUyH#$ z7Sh0muIG!kWdltR{`;g&m7Em{1~D`)o;f5YFMT(3M*S@ruqilG9pCI-xe_aXJMQ^T zf-hmdaPjT;Cg8lpt<7WchfI;>&Tk%sg&EFM7B)cC#K;3g#B^H)+CI)inTI_)g-6e0 z>iwu+(B{$xsm*iYQr zEj=y`uF9?Zzl0EaWu|}CoLWFYxK*o7H>L3(`d+I8J%PXSCOrY~Idz?F;yuC0c${QH z?L2$y$ZV+e&GU{Gujd-KA0L^M)z20a|b}@%GJi{kj!C$wX zd@r*B46T4l^vgO2K`GSaL_Qlb=BhtiU+>x6q6m1b0A~jdS|O%0R(28?pLQI`)c1Ch z+)`x`K`SM41Q&bbh8u4?PcsL&j;5+4p(!5`O2^+meM^Cv9>XpBlys#5%BKZk>U~FVFEiK40nVS)N z&oLsffKN%mR=M)F;`^l=3r$%wNCnk*O)MR@ z+27FlHy`+eS`*@@&nSnegu3k`T`>puR;)=3y!0~MmQC*Cj83vdd~OavB$ZZNS(D=k zq)*llvn9Fkx3S(luNMH1aw`&H$Mb5C9{>?i@X5<6O>m;ZvEmy*M$ zMdnOK-rAFAR&rDv=tZ9gkFKT=5k8_u>2F&(uYpMh0A3@<4;YOoeM%{Uh_Yr%u&Lz- zBfv#A$(l=ebHo=!GQP;y{S7w3>cz*SCt1>aKHRu`G5Qb)hRt8l+;oMjcllXQF-&Qs zIG~oGbTmycVxfCmen&L~X?5CY2=fA%adn`(bTFB7Hk|p-w?vzDppQCJiRi8c)eSoggh^m?$sO>jngagioeyIfB7=ka#` z=*)9tMoyjG1E7?xPBk!t(nO}oKdJ`D zhl2#uIFISw+J_#J^NN3-xQED2HBQs%ACS^8w<*h*$g^^kWM;9;`(I_Cp!{`H^K))+ zJN>tMQ8K)Y0WBFd$pNx5OlyH7(-WEVPc=Qy6DITxTPo{#_(Y-=Rk`=f1c2 zKcxc`FNMyg#PI=u#-3+#@(>r9l(bhx0V%99SD~!QvPXkM>!MLB-Njg~bY~#xXC+?i zBLe9BXzvNHKz6V7nOJa3-g(z73dZd7ddJ7Uz)1_aPgMlo8I z)tDLoIY`UX9g8`sAFxfHOSX6U6O~G;7OO(wT~QvyZRBF5(_E3rYIl;lS6`Hu*Pw)h z@5unqcd|W6v+@_s{}+|D+46AYY=QAx7RBcNNlBHdNr8I4OUkm>5M1-#>|BaXcjasXPgG{w z=yDJQmUQN`ZxfhpYa5BqQ)~c7W6y$6J$4R$HBiG#|BPq%h;jLP7OG54Y#73)T6M^p zHG31nwz12u!^cx$n8E^BNW%u)3&CY#cz_r6?*8DFgl|z#B_@XrYU$%2SDnRXo;5i& zwfp3c67nje`h*-VP<-&@;bA!cwl}j73@kyc)9)%IjdqWx$Wd`If~OwH2LV#bpK~2a z9+C<*t589%j5l@vzUubbd$sI1(VbVjf!so#&b2$g({T@0oM=__ce6m#^dvkPNWnbk z=J=)f#pDD%uxM?rF(+;%$}_u62rk#xzzlAYs^TDT*y8fPGsQf1B7uJ9Z3tnt1E$Ur zmNbS6=+~-wyL63==Aq}9*r3;us2sk`*e{?8ctgOIy9JzNhcf=^Tvv45VmY_X$S1Bc z+ZUni^uSzbBZ1qKdA7&nM|s93e{J_X%M-KlFPg)H-ShPCT(C6_aq~+tU>ao+(W7U0 z+nWn>8i^3s2NP9luhq9{9;O3V?w3D)xTO5l6!Uo378D&v)Ls{T_JvgqXJ;X0a+pp0 z{@ReTbgWYgg2y)Ph>C=e&Oh~rQom``-Qz(i96H*Iu-}fTEnJ*g)NWP!3GN@FD+YB% zE4*%1FbvVBrPcH#NNz<+%&lcuq}G{alV6)1#BSk$8K@doq%0{Z_A-W(m}7%FPTu|_ z-t={xDL7yQ)p-QYjk9@Ddp4XqeK6@!Rm1VP?uGCQ%=@`~_Oe^MSJ4f4n{yB)J+Bk*iw-LT_hWmsB-({POnY8VDTK@zD%dJB;~U&Fz-O-sF;YA zBiT@j(wcifgWfDZCJ-xNo+n-0i5s5f&BRUP$z3@MOZ#D!2X(?;fDZ)r8XUNus$q1B zzEUsaEXNP8&6s)UNUtt7TB6D$b+5cfG=}+s=Ytmz*gBe9AX;@sK6G&Ma!+rZN(CO)#_9aJjw^r~A}3fh z4}AZMu+l{frHGQBa%R`9DAoh5vKj+C)`78-Fuk48PJPYC9Llc0lOlee)Qd$UYaAna zzz$D&lQjA#z-i*vttG1*#ZUu_)Etb)9BisR>z6BU=|3Xo1y5{{lsEc6w;P&syMKgi zjIY5q+kYJ3LmFX*H&8cBR0U$qA@xHy>uAFz`&1P*lD>5AWwFZm=juV8QYr**wAg9u zDOP85ykoe>W6H5l;i{m~l$SJhFAKOzI-(%M3nmWy2d<%L3bZD01iA=6tae*qY>25e zHIWE8n4}8@2QcJq43^3a&F2QdS>%BtcK{;!zz5%Xen_f@J+Jm)(6%^jU;6u_Ez_gL z?JB}Z#NC~qA-Nd5xyS9`qUWFc3pKUsz)}_vsgv0zvFl!1QS{Z zDziaN|BBH>GN+=B)V#A6j9ywGm;JiuhOf=|%0SNH#5TdmdZ|L#12we1Y6 z|8pfhYx}9yI=GmZ>X!EXTei@IwR7_SI~9zR?{KU^WVpIv)9s?2(a`@j1#IE_2a-gU zq9B3D@^|FJjX~r?2Janvm$~-Yj`pUbn!VX3S&xpC#JCL1Z2}4NoLvRiTQz)-dwWaH zG8qxM6kVM9L00{(r%h9mgvRr{y}MV$AqiI9#PgsZF$C6$63LqXJs2)A)l)pxSDlvy zFhqbv1iHY*ez%nMP$FHU>R|Q1<>E+Fgv8UM+?zWkBaPhr;9R_X+s4*T0}CX_WbKlq z^@xe-qrsD)JF&cPdT4U|=jUrue+K?7My*S{Xf2r@c-)IAYD7vuZ8ta?zr*8ohqt7f z?{#y6EaUtPoC32xUswK<`3gKcHqF|GN3@8GNsZn^&iOND`<(=2a7V2);40;nehZ3;~ww0HY zN5Ay|$y?;?3-M@)wvjn=Ab58%^0#e_-Mzh>isW`^aTRGlsn0`JiijshcqCXS)twby|c))pgQThIo|Zo9(z~t!OF?xQvC){w0{3|F?NG9b7qYleGgm|VrIY9scATrQN6oPT&zwJ{*7qtc2 z%DWq2K!Hao2iSKo<&+#x`R>fN+m}OupIO7Dy2~vi0LclA!n^!HY7WR&)R{l3i5~|i zaJ2tstXsSzc5kmyCVV7Q{<&D_|0@TcgsfCrdv=``9Wl6-?QyS%i-gk^)A;Ye#SmLC z>#2E^El-))^|WGY-wwy*Uomeuy{-RAIoieiJlJl_TR6Sz_B4R$Lb`!}!6*e?(TeBM z4V;nMCq=bwkg!LUd2&0Z(8q5nusTTf?~>1I3v*r&%1qJwRn;b&E!Xb!tG-~2&C757 zZKx@dPEKt#H3melsN&mp+AqTSdcIh#QSxmQw_Zz^_D0&Gwly&P_|n!gmV%%vY?@`I z7X0SasrEe**QT&A4~{n@dfcnGo`Wgm;JL{jP9kv@4MHyP@j*d0=UusS!2{!~4gU>K zG2&>jywpQ{|HKbWtro@}Ov!0VhLKtTd3|#6Qhv){lEr&uXEMxP)3O-!8eV3|B9sv% z{pfH_`l+eaeb!MzzJI#Wkqx67Y1DtJT4@-M`f+S!1*yP(IXWGLBS%w$!O_4e3uxg< z>!{lNyI0g>fplPIMp7r>Ql&T4bb}i#kOxROGA5t1-FxRS74coh7O4<|TaK54YuDYM z1|8;02km}^9h17Z^?`Yi>|l)oyA`QMOhyNxQ;q@!la`eUC>b7RSZ=lkG>BOf@Q93e zr{Z-AhM z@H*JxZLYxe>nZ~7B<)7Wfvf<4Hh%A@`}*dY5OjTBm(ac>MDaGn=L%Z=8A=cgc>|HX zKB!yliMd|B#+2izAY6eJ-q%k6WiG{LCuzUk_KKSKk*!)3kl%w+7()0_l)+3w!#ko9 z{4Znw)JgB9T{4uqg~J5=Ad`poTQHoM`_*)Lmc^XnodK z5Du580#bQf$Nwqqs{*Qeqc1NYAs`*np#p-W64E7&lv2`2Bi${C5>ldqbV+wfcZifU zQi6bVOV{lC`_JRN%#06G7tXog*|FC8&e;pmmwz!`olbiw!S8pyzgzyzk;wnBT0mJL`@Gn;@6AvpeC&dPLQh`@PXN`DxJD zVP`eGiBDAz85Bh7!n0iP@GKXN1{bNaDeT2Rdl2z5#qEfW)v{+*_UDIFQfw ziGq`!GU5+%EIl5zK=i>53~C0ar?&0c`aPH$L6>^kXQAn1hrAUa6gRd%2KIE-+wRCe`^-01P|iF{`b!6f8g&Ey2~{BT&hIToQN# z19o;^%4-k*2!z{L|7LI??>_m0o%ri`?d{>AzO!1KtMwky9+M{7h-q+i70Z`#g2*g_ zNLEdHBIP?DRLO83fSpGr-a^Fcj$k|D!wLhxR9k?qWV{proEX1oWkUQPL|#DU<&A9%jfpoMt9S z&_2SgZc2A3cKWa~q#mZ#D!RM({j+i?hO2X#Ww$j0Fwe zVW^WEfDgtHso=s&iIy}A)`m%AfoB0Y+lA~AJ_YDUlaWkxAHv|_X6Vli94Ijz`vWna z8|a$M6SL=M(MmQ03b6h9--zsE&UeY$zy7!DX@|}nE!&$>9;6GVHJ0p%rZ|!O9ctxe zeNq%q5sl!9OtYNAP6CYQDY%gYO-WZXu)vWRK_X zfn=e*>Tiv=_-9>+!Nf2O>7xh3v}vZMrZjE+VE(3&Hx7nOCXQ$g!1D5s*j$X#mY73LlfAM z%_b8}7F5}_twC#+l=*z;^SvLQ^ML|B@@!{$>)xm;DfOVdNyiHM4ak2K-+cLx&3= zG#mzU=s8|tP{U+n*qiB!#;kX%St`lt&yeyLkFt2Y^m)J69?7$tXmZdA3!#Q4_X=?xhlM_Yy6;_ zV~ruxE)O?$Ei8HX%pJUC;c|I&Iy6Qp4KxC75_YLRS#W$l_^R2qV7#l~=IQi{-JC^Z z*mlY{r;kx5e{WP2S*)m~tTIoYRE;;-B-jImiSOIFqmO`r!^K}Wv1(VoHke6HwidGS z;fC!-rQJMC;gU#gSglt6$$V$YowV`RL;h44aX!U$u;NTYY^!dhAa^+8f+mY$v71Az zA(w3tL?ln*FxBOiRO?Ao?KYlX@vC|Byu-QxEZD)G+kLJHCQFdh)Z0vOBndd8LLy50 z|2H0AdwUJ#`_>@L0X8{cA?qCb;a3}aq*u21*2owWg|t)rhT3g6GmNC)bV;5`uPNds zMkVG-HrCfuJhy98z0G|*M4d}i*v0eeMT3gWrmyW>G=+L)m`WsE`=#XiA{LBZMP}@G z#bw#A+qIv?KRmj3v9tXwd0$>Jf49A4g0lbII?a3Q8g0fETh-u}gX}cltND$g-Qwyd z+G@+`?4#5QurPUAZT_9Du7tNawus^`Q&okzfy=i}X46XocRrj6XT{)41K}ig?s9*N zs%`wSG^q!~t@#n!ll@wn`kB=uCFQoh^_sX=!kB~<7{M8CRyW~4xBd+YS}dQucIR1C zxCQFt#f1;UY?)~{#)05tk##yP-`Ut~D_@LdCU4iovsoeS`5#4HXe7sYDt@fHiraXC zE8e-P^k)+`5qP`Q^BcH`)tMp6aUxTaI2(J{vd_0Oon>thEi+hR7dzKqEpgR-L~ObF z+f=q{%^srdT~{ZK+|CmCm0>KDbFF$7R4mRxhf!m+aT_OgPQcRPl z1``SVCZ+FwV#9Y9lDX^)rw?+v&^x9msgPe)C7!@L5zZ}^=_|8giJp6x89~v7x5ZkS zG+JeAPXEJ<$M(H)aOE=$Dn;TxJb!u1$3y@8T(_=%@~;|AU=xZI^J91lZ?FnKXBQQZ z>7jj9I#KY))iot_wGXqe`eel4_|)BY?*)+C8=o%SU*t%)x~7BFTaDOYL&o zLCOG81NV2uTz1!IB44e(VS7j&c{@S_;>6QOPt*sM`gRn?bk_!{7gomGA z{C+;)VdCam<#NH1DD(ULsp7;RG?KCtwTD`!R3Gj?%kH=>BIDl_6NAOacV?f>-;zy( zdMUUdV|P=5?PaO0MIgt3CRct%$7PbE$eydqhpsP-pZ|8nKP+b6w7u8nJYsMlGy1w$ zcTi}H*IrJ##85OlaD61^4d#`lTbcvb>z` z>%A2uaj?Jt#zpEBH@FFn?eRfSNJt7fyI+U$M6rIbi<_HUkf*bg)0@hioE72%VnRYf zkrX(clhf0iL8h^>u~dBpGh35AJvWmDUA_Le-eF|S$hO);35$&-zPPwRAolk5SU5Q+ z;yE8brqI#Rfgy?Q@5GAM;qRysSDqly5lkv6xCj;wj;;^)6n9GpvRUulyQf|L@+P7M zETUtXl)ctn?=mtn&Q_gBlp}V*0*jH4k1R(ewF_)bV^UM2?rUVH!MwN{r)6wD`?>cs zGgD(aD}7%wtC{iPAQUMpj9@}sWiw$iUZ^9dpdjhwRNl46qLK5ov+v8pREe#SkPtb# zLFE9(7&!tOnh5w)3>+MI6ciLJY-~Xh5x2aKHbcSslaZc&UPmhyUhT3wbAv^EYyWUz zVF3#t-+%l$1H9?(T|IObm2e2+>gu;uxIDa(=YGO;CnBO^C;IAA(%54(|KN8+a9f^tY4kpJ`Qd%`&q_c*;L)jG(O8~F4wv&^rR4pl zi~Zh^_wQ|oJ%@*fOTj7k?!9{pz)GU!?yk<%K5T1iBOoM1AtsJx`lQ%W=ekkqcj?s# zJ`a7j3$@E6OD1*`?gpS>Q`DGtM;b4*1;a9GcpI>O`qLJSQ{%9Jnvt2gH|zd;p_ANj zwEiM65HK&d+ z1INFRva&J*@M!-)ghs-nP0pd$GE?i!5Z7yLYx^ErlgZCCiPGw783O}a@Lvv(WmaM2 z=O?#szT`78HC`>Csw*g9^E`ZrGJ55taqH=`MwnZ;yT6Z$ zpnmLh%5Wy zzRn2i`aoJypUKTbdZd4$WWe6hw7pHE9aS3~?si(Vgo1(s(Qs>PtL{OlG$Zb9E`<12 z$u}x~yH!`(Wx5e&$HgpN$U;>X62#BVB4z{u9UXp}TVXr6hUarfX+Mzh@DM=ELtM%| zeQI~)Rp|yVZkspP($a#w&XHe+Fudos7cH@Wc-RRS%3)=IW+ASG??)mX;@R`(Yd(?X z>ak~1`D$8ohsQ(t11kp0%V<y5A4rzw1&CSAt|Ke;uTQQDf zveuayk52SGn^tjJc{vdt9^UTpad(z{?EKWM!47^~?YAkbKGMF`{L5wz0LLxVTtS_m{6+|Kenssbs-u z016rb3CU=d)Bl{)Xa>||g&GtuPtP@8dX>Yt%i*tzY6b?yZWl*e)05!L2R8RnYa=;} zu_~gkV+g&U9Dcn>T6TI2DgGt^HTTt?f}*07t}dnD#hz^8i*HYhzGiZ}Z_f}8NA%B^ zS5ySSFw&Pi6#EAUhd$(^(O?^Va}8hgB&`Rz_Rn!ub30jCS=*qjzv(_3=u=G|&^9oL zgsN@2^gYJG%}vJ9k=yTliysn7oGI3LW4s8ib-b9rU&UB6Z*s`Y3=C6u2LH?_&tKEYG8z&t|LsB#n>lipSF7G4TrR8Om+{<M~NwLiS_`M1+l!_`$)1A1ba7mt7YW2)BktX037PN*b*S5(9f&6|?u zfD5YnLfkRf#gCcaQfu!p;nvgFA8PjZFKWH13eT}p@jvzOIoi}o{-KpzbpRJj=78Iugoh3i5)v{XMG)5K zor;QzsjH{DY-7CYPR`D*Udk{l?#;i;^JA+1620$(Q&YOlKVoFS=MG(!$|&+S_n*Av zxQUk=Er?*0qWwV#zCBYuUq5k3#HT+!%r`--2TJ0UaH^t$z#IK)ugT#y8J*n!D4b-XTT@{@ldH z9Zfj?(-|&VS4Ly|39Rb9{;j@-YRqu&-jhi^b>gut;K8m=nLnyeG zg}=kqR97b=<1~11gBd_qTLQ05f?0qml)hjIx9%u9`%-)%R#t^vDQ)dZ)6{xiHT_#2 zzngq@4`!SF>BKJo5eH0(xJpV&x`@8ppYS#_`$~X2_FO|F2(kr{t6v&{@?%kBAfuwR z)bew&ra|m8a_HT1%gf90{Pwig*479_N%NK9)r$XB&adouy4u=U8`&S@;ua4E#mEP~ zvWkk*ie2oY1x$TX0DzgWd{Oko(lYnw1uZ%GJAfHuy?5ez%Zyr4jg2-F?VIu@3JZV! zR83d31T4{Jz>z;*tRJ4pZ;y(|R{GLrI1{x7!de^Nu&AhLzmxucLROtL_P`(`8Wdb6 z=oAfyae#0gq?DADI-mq2Mmd(MO}p``8lF6P;;|UP|Aq=|QaRy|qVn_e zLv;PwU1$#p4-b+|7oVV>qYmu=ph*xK6e9yedp`1$#<+`liOr1YN4;7>5QfjE5j z^!l@$(Adt)i<7;RKjEDJ{Afz#t#P}dtE%%IqqWS|yN`{3xBR}p-0Nx()jB>-HvP@M z8{#AiVrqU+?7AZ-)lZi*H7E#8vq-m7?2R%BB_;M3rMF)dv9y$HrqP?cK(i?D8Ea=4Dckz;-u`|YfREcrkI=>_G$OWMXW{=(no}fYWMs(X zyyqi_PJ96hJuFB&VE&ktl*r*>b-BAlHTCs(1O#pqGb#PFN+ln*`?or@I#EJ*1#X55 z|JFvn4-C9jVhU<(6!G!(<+dJW0q80={y1AX@ohi=LRwb#4mUR;;N0M{GHziJ5kgAJ zF#g{@u`s(THY^OAp=b~zxo)0UUSadk|KMtga%pMlmkzhn0JX-n8V5+iml*F*u#x0| z8iVEk=7%rE^9u@6T}c6_qe2gHeTz#GXg6Dz{^Fb6U>&P9G}U)1qNmb}Ws{TI=>yQv zynpcCVe~qyN#q`Ss0l3u>L~K;p&1R<3BqZ-W@nKejDN=Z#Kh!JMKK0pjKu%>{GcxB zHUjpPmXY}bGkR-$&-wcL`hI>@Bu926C{a>SDJgw?{rp6cm=}kfgC4qMXJ;oM>DQk= zk;WnkdxmTPEeXgrTu*pxG%X99Eb)AMu4A{yO6@4Y`yF8+y zf&iE!6jJ5Rg9o_4b-1{>hfV~|PT_Fv0G>nj>)jYwS+P$~PfNdjlT8)%-CcM`*9OdT z%k}>K`;!$G_#a|pkqj*%fpT(sy1ly_v!r1k+rV>~G(gr%(h5`(1qJ1{klO>ex>ZenKp~Kh#eMz#0A~Hu0DJ-d?QHTrcep%r753OgY)yZY zRaGT`0Ks5pW?raT8Axu2vvyn?zDGhz+B!8w+30oH_MYP5{KiIsMzV&6hMJxpE_{HK z%G4?`z`A*}6*?D{?~ZhqP>f`{s_=#afrzryTU-e{I}QXr6B9;-dB3EZT1;0%WMt$C zz}TU0_J$GNK#;?Cny+b{Y8zUe6A}|mq1@aSbjjUK%0@i-WF0_6MHN0MdX9@g0*#L! zKN`WA=^AbTjfkM)&j6x%7@3E`k}Txj1t~QeNkv7q2+*~(yc`ulLQamXeX>42K0!NW z@P@VP-Pob^R{fP%P-qK8$9XeoNL;4<9*C()YaqJiNcNRI%NXJw6iVm6eE_Y)y2>{< zH%nhl^LcoBE&yg8KKl~dX#xxl^^R<0q5A`7W=y~#Ex@a)#wie9hwH(&sQ6mCy0Tk+ zq_e0nSVq@#F<3M;HKFt%BM3_S{O0C+C?kuYnF3wMK)}UXfGg6W$k~{sIj}xfP-fOk zh6s?mD=99HfD<<|Hhv8mnf3MS0=z9Gr~C2PWtBkCZ4(Rey|=d=T9&G=ZkTc+9|}TG zPmjyE?FJ$MWCKYlDU@7HmaVBOsV7g+5os2KDXX*f{8Lpn??y+TB?)^H;nRuUK-|E< zFgZWkI-G0f5xqH zQE7!e5C~w2UB&wKkVbJ{DQPt52Jy;oB6uUl+iuT`~ zZ=EbPMtlE$)H~x7N?2areF#uT2;54W2|U=Hd{6Xz^lJ>W^f^u@0v()e7(Fne&ci+MOJqUzxOt%gobk}=|Ab<@ELKKfI36heMkOv0( z$H>4SaneU+bI8aj!V;qU1+Xw%Lqo%xYbND{ES3ikp7m-xdzKad$m&D%N)^o69~~XV z>b9S$Nnf37tZ(b>Rb1HGDiZKMD(rFwe$8@ryu14)GIuy9}HVcvaw(_ZNQql;{%w>#MM( zr6sTB**aH6LRwmmC7fHgo&&SWTaHoq8Yb#{hUIDApMd1>hd%^eR-@Y{Ccd=}+Ca2g zAJXyLC1vF1%CW1Mn`gI8PrqO{l#>f#6cVa8XoSljEDUj`B?R3)=V%sEJk7utNLdyD zc;bEi29GiWTE<~I%pUcEzkmJ&Li|93)7A*2y>K_K*MozR;vj}jd&z*wNI z{2xFXNh71Qu6>~9Z>>h)kpjs7#IJL`ahy;)R2x^$k9SJOmG_`U@@o$ud*5Vsy^$v=Ihl}@^xpf!?|pqpC-t#?D9{;|l_Ur# zHQ~UAp!n1o=-iQc-}2)VTX6Sp|7#Ioy_Ms?XJ)8ja(Br@(VvBd^zmdSqR>*eE!~=$ zn%w0Ih)T$p;BMFERKUeI*S^hp;bdoLAFd<+D5x~3xm&DfP#mhp<3e1z0sB?~dNx5Rp4g3LPFug9TseF3D5qW@FpABp*EP~;0_P^~)3!!yt zY?Ohra#Nq&*w}dY=x97)VtANnr|~#t*8||6bvHh(FiRFdJdFrb#g8CVaNLk2B_%yM zoG`5VdkY5#I(1{0DQClOVD!mHn*oLGuv3x3Xma;kffhmp(kMQJO3eSQ_NyUF%Ut$^qLT|nt$`#LXP zw9n4cz|>&fK`H68g-52=RZyTPlO;F*{>3mgH3eN~X=NodKVQN0q5t#eq~+!1(aFgX zaMYOwPhw~(PrSV9rj%8Na7~9d++@eTo)sAWLd^)Rt@R8tL*|QIGoZGJaYe?MG>Eb9 zJw31WIAlSvs&iS((2T6sd|&r$Fz4*7j+%z1idN&2`T;w8)n6M+>wh5c%;*0t#KkFPMfwsAFaL%sf`HWa?8qFw#=8+2iiH7Cp>2K zgic0A23Z8J_M-fauCFd71MbK5#>B^mfau|K(9iGS?%uso(i{n#5_nLd{0bwZD@d7? z=~L_JdKZPzyaAg$ql(K|nx9AD9V8M62;MpG9TCtdIRza5+)&rh7@OOGE>;Gr*XCR!m5|#e zLG}k?wGnRdbWO!LlmZY{K!CLvO2!`^RUdc{Q8}>w?gANBv%_T<^bDPOh$=D>Nq=%p!wkKmG5E3kxVPh4hP3b~R!ONKoG*n#W%sC>?Zurjn{ zz!)r_ALsWPjS@+Kx3(c>g(!Vz|1*{dTtQPFm`U(V}18yXvfTRS*7INEBG|NJqj`Xw=y z`;^_zc6>M%mN^I=hm2lWm>R_6T>f@hdDsFg`ZgC>UthmVjYg8u{a+=5nrB7Rq6?}5 zP@9E4D*FZ$abH$zGqZd7`T3QfQxg*Mt1&{dMZBM3I`FL+O?C5v@WSA6wj5`Ogn&h! zy+3}GIxfmAIBILhPwjD=c44i7bX(o}xd7x2Y@5j2R8*!Xy9>(s*Na5qok$TD3biAs z-qd1#dNy;A7WudSj#Xk35v~Eoud{Kznkl8ft5s z7r9d{was|p&?Jx3<|MaLs;E9Yi`uqMrUGLOmen#x>)V$0b}6h!Ai0?jB;}QL-sj}R zAIVW6uXBgq&+T{NQ6;RAtwd=4SFg_HCLpgN0ihL;4nf6g+Vy}92VHU#Z%PCIOILj~v z+*iCyr2XPWW=+j)c>5m5v+hIn?)CuOjQ5v%RIY+7Tc9Q*nHhkOnR<78V&KDU~`b zv{~p{WUQbAud0Hww>Kn9x6qC+Chh0f)TM8Ed2#V*`*8o4Md|_w1w>sMNZJgAw&?gQ zl1Atcl$$yoSv43fKvjfCL|L<89ZU&t-MID`S9UG#E7V-BqLS!i^DJpBTyaPi+gxuWRNE|>&M;8T1DzmhdU~Fuxw5lrj-8)PSeA@TB zyAD;`f{b3mj87C3j^%)B7olSI5dD7>@&8*2e Date: Sat, 27 Apr 2024 10:00:24 +0300 Subject: [PATCH 91/98] Create scatterplot.png --- scatterplot.png | Bin 0 -> 135334 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 scatterplot.png diff --git a/scatterplot.png b/scatterplot.png new file mode 100644 index 0000000000000000000000000000000000000000..89485e73a0ca0d510068f8a329602b14dae8e209 GIT binary patch literal 135334 zcmZ^LbwHHwwk}FbN_R*LN|&HWJ4k~_cXvpafFRuxLn$dK-JQ}R62s6SNO#wL$8*lz zzkAQ#e+)5v^Tm2sJkPV%OPI2vEY1Up2S`XrIFMITsz^vEM;gkQ9vGIodkBv$Zm&b2D>xv2w8IeJb>ni-XSc-8)B@XPlgN|M!5W z4$c;w{1r9D;3Sxiue4l{knoHUuX|s`3apUsAt6De#MM30x92?5P2c$L-;FltJZU+T zAMG4M>SDH+@{LXTtfFfo#ef!umLsK4|1~VWo>7S=CkD#0d%G+_kn@n6nIh6S6jSP< zi4>8tqc~d1J@YJmn{Q1E-hTeGo0&BE#f|1g-ud2ZSAH$;pk-=ximq=L_F5KPM$TAE zYh*C!Kj2IJ{Srz%AT&??-@hQ<$tHvtV*caL3Iv+}btK}C#?lEWN&h-nbBr;7>3`0I zL9fAQ(}0_v&z7eeW?eJz=MO6b1B1(gAa;KmCVh9m#Bu=mWUL1rxQ3vdO=A;uvy?gTt_4WMT4Gq#apWp1TN;9mt2EP33=`JIxE!FrEp~O=E zI*;)N2MoJp2VQryCfJsmA>w|YD~(i5j{2v4Uo`cs`+~2}QQE?)or5>!TV1CfRabEg z`tApG2QM+`QC^9Ho2jTyVhpG;>BIF~clY}!lfzA#Vhd*u&z78d^O#t4RFX}as?TRX zh_<`d?rGcgVcwq*a04sy|Ga^d=4nv~!R(PX;QrplU`-zIpF3dUjO5fJ&)7dA14nY+0ImNgl084t;irj zht0pu0ed>7Ll9=YM}P;Mf+HrAP}A4fw|xvXH8qtS2@MU+Yv+F%5OKDdW=~#io88u{ zT?Q}xc*g59|2siBHUWqESsOucA}Wi&=X>9c44!r{XB}mdH|s(kX}9G}-|xJO*6pTQ z$^UYE8&-w>-r#1!VCO#=_susi;s#yZ_hPpzVr!Y+yBpIlFz&xNt%y13SMno38m#pA z&29kuH&^W1JVBxquw8uO;E6?h`QzhP^~Z=sSPH~?x)`S9v#gtj@W4;se1fxXwk>A8 zwo26>6IV~N=G7k#u$zUK<4dF?{nOkZe`;^#3H|sec5QUKM0-mw@>SIiKJ4GHa6P=R z8bo`&sM_3&aP)r!jIq@dt@~Ju@P%6e|C=fQ;nN+sNG-hF2-(4Bg|cD0axiH#FBo5< zgzg`fdTjwA)T}~S30T(NZF^e0Mw=kL-w{nvy)~o6+~RH{3|ZT zn#}&01TZSpz2<}WD^7Rk;BMjjbM6bn3paBMPo4#9f)8%~9qaX?wn=mnD)`!o?r6d)20$T9pDSaF@Ig+Z$Nkd+!79$u;lX?)R~v4f=Ss7 zFD}yEZTa7PLxs2Qx_(MEmy-%(mv_SgRq3;q|${zlHu1bIYlm&I)Z zrFHWIIt!PRsPGpDVM?nw4j#yN7g=}x-|jBIA(w;f(RzFG?Q8}I+)-cZKkn%8k8pr1 z+^+5(*Ry8>EH4f)(a_OJeWO=|5Glpf))xDHnnP>Df4B!~5x38Y%cz_l_ik=(^u#!m z2M;<)Tk%Wz;k9;K|K7ukVYc_njk-b@{B|!-w(fnM+G=r=1PkQE{I8X*5cN_tJUKbJ zM>UaD$IHu$q^H160uo{6{~x#@;o@rB*f;G6baHK9dP3s&GxmJY^N4in?Eh1MWk)={ zZ)j~Dj_0$8tS7cNWAn`nEE|$2NMpPI=8nHqPc|ka|JriRyt`gkE1r1IVc2pp?65ZL zGOAa8(}gECgmAKhCEpAgr*lv5$ZLTQj5X)7~A>Ht*Ouh^%^>n3$ydp2A$V zrfg~`VqRRbqT^B_y|jt4g8E#q(5@pq@|&KJ)lHAVHLBpOBQm1C_+R(=`^f9NT%GRt zTnrklMT_hj`uL>tDZr|&2uHmptLm4-*{AEBR=77l;v4^t^KiUIRFD!z0=#HikVQiY zKh+SSd-lK9mmmviUVpyVapp^x#v{tl@2Uxh`Dj&Wu5#WTaxw{>ECN>|0hjIK_8o4! zNNZaHc4CTNk!-!&@4`Dmybylnvu#3~V6`BTp36u>MT>}P_NeZl6-khXm!)bMdCSeC zVq#owPNrOdgH_l}m7&5TqobV5cF}^%{pTtOko9$A6>tgnQHA#wa9EJxp^p2q6?mo z8u5gmvLGXY)_BFMY@4IxSRPfd^3hHdAYJsWWSRc9JpSZL4N(a%TRTan*eK^Y;= z^7>bVS?4HDR5^*u2qWTQDI&Gqz}tpN+s>tFy#CN5+}US=C2N#6;TDr#<7pWBYb9V& zWBz!L@?%7bR%9MbYA1NTm36z3<#BhlASPJkJgH^j1Z=twuHynTXwrRp)UxM`_gzMD zL}ahI*6tg~bbi3EczJjNw;BmP1CSKKpLaZkSsVqDHot${ zdiV(oEm35*-sCBlzRy7qwZY17PJdxe|BJzxuLht_OD}gEFo7kiP<n52j7RyM8+h>t77KJq!_S4p2xFpguUF^;o<&f1EE^;l4L7 z*=q3kQ~lA1NCV=v+qiY!&GMonA@ex5D^tYg_KzGiUtU3B%vM0F&F?v=^0Kp>VBr`J z7SH1W8qs6}Zfk&WTb48iZHei!`754@0Meso;E%mrkvU$w3^Agezmp9VbH>^MxN138 z%{)q92Z>UyP<^=;ZogtaON*Y+z<0OeXVv6Twq^58y4Pl5q8yWb>xDU@C@nTV1-Jnn1`t8p0cD$$?R+l&atiS3X9!p1;15GD zPC$f_wd=9fRT4U_Pb{b}9MT5eJSlUkq>G(coZHisN4}HvY-Z`BU>>LHqY2RO|$J8UlzEHBq!q zt_iF*3UC9+q`ab{%_w>VuM2gb(oP(iM{r8i*7{Cj8Ju@Uk9zOAWQm-e#M!T~f6$y` zq$#mQcxzwye?Nk8&88>Xt{&C=0 zknTJ%J0(j=6^su|{J)yojD~#v;DG-uF)W@~fTYyjAPd3`Ym3%kVu1^f^_#OPO;CNbDx9k9Dx{QBt z0M43UPynY{>7{f)Y3Cc3oNU6PSM>Q0&j(n***yeQ{UjHR0N8i83wI*fCaih5FdRva z3{Yb|)BP?twr3j>y!Tp?V|-Q_ns0U-#7gEA1n0Vk1sAZ}8(p_N4k8Rh&r+ z7t{jwv(u+!7e1LW!2f2Q`lx+QiVc2)BxmI11q}$erzo<+_q6rgSpW7gnO4A66T`_l z79=kO2H+3`$t&ouOXgG$trP!Cj9}LsZNh&5Q1^eoRgvzcFHs+RaNuO$cH?%sw=fFK zAH9Mg!bwkb&T9;=_%E-nl2^_y|Om6D!l+)-vvPcMsM8vNZ&kw*Lq&T7e@AOclS;&4_P=$`K`R1 zlUaGOYc~DS3MUyMr%k^si5_$*r{s59+C6EZkaChM;t%6s{HQ#PY?LFrNJ zvtufs>UH1Js`@XV3yv;SdxG++88J)F0A#ry7rPms^^b{;J}j|#9#J*&EaJ--`gq1K z+NFm-B=HV_IFMys18u2S1(8I%#Kh?d0Wg`K2_jecOLTrt$ev@+&@?y3xdB2|(AOj) z+jGJ|Gp%P{xk}KxF&oxhfjt>TB7FAiVYug&hr5f4K7N(2!>4AG#cAezD=s1B&l+d1 z;uE>#_PY|R1o2e9KN%cYHOr~##UqSYH=zh`HYuwoJc)Y-ZOa%Ndm&$Smi8zNeQ?Dz z2Au^;NZ(pYRORGWv>j(1rTU<>3hTBauJd6Jj8CCZK(bS)rvf|Vk_vle8fT~^QIq|^ z&@2HsPrv8g>W`g0*a?GM^i-jsq?~J(@w~*B{Xi7BfRLF&T)N5FzC<(K()O?<_Srf~ zvuvtAC!q}Ygv_hC2*^*OaV|2BnG#Ais)^_82s8e2IldZ;@#_Xg6#J6c$)_-XT3dGj zooYrK)IR@VM0VIP>Km;Da2z9~^X@|I?&Hy@Sk}qb)Y%L%y#`S!e-q25Xl0umzEvQr zOaX-%t8=Y%R}AYK2aWsY_i&{Y#zJO@+O~lIRFYL}E_eT9$~Vq8q5YMz!%<1AjQ*8C z;_2S3h>t&$g(t&=n%pY`R#J#u1d<9v38P4Rw=-*KGWaU=DlPn@&|PC~&o@R_ksMbx46Nmic|joW#? z3NrM*ej072d}cynkJ8?_)M<3adbDSzD`wodX_SUWIYmOg>mItC=={7L$5?TJ%TZ!> z;W%CK>SuB*-`UC4!ku3kpi8wKnC(tfWv!Ri^EbQh$oMGt46c_+y@3S89!=W4J^j|C za@)zUvH!f<`+Hl0SDK z6MrUJzYyu$s`q=>+*H2_GK8_K<4vgEifip&X{E12@Q!!!_A|xx7X8a*RPH90G_nxm z@;`<;Fr4>xm9`DsG6#`UAU6~y32#5?1}-?q+pz17C| zA2rkIzk|*Cu&9D~qx&GF(%{#P+%({Gw~l^3KU#S=cYEYSGpm;mlioh;`T(UIdt1(h z9c=V6ohp(z1k;;2ZRpp1jyy8f86s!q-(Kw_2hVulWQCA&s}1jJ4V=7Bw~NhXdl0O_ zrH8ZMg;Gktp7IMyPiVFmYW!1f;t0FMd$$4bZ6)uSagUAH1~Vr|Pn))Rfa-^aK#jLo zZFgyPKY4xMfW^MS1Jde=4f)zoE&gA?@NIC z+hpwx4&)UOaQpR*Nuw^Gw!*z~#I%P+fj_B`i>TWwe21sp4-Zcn*mw)Fxs=ZY336wE=HS|Q9-SD@S#(>u@+jFuYgfHkJhP> zT~N)kMPDgk$TPruHNs)5EwtU!wE-sNxzAqD({4SSfwiI-Nf>l=)|N0(JaG$3$*1Lh zwuq#4^A)D0TWj{ipqx!mVwTR{8_;l1OQm3IhR-Q=Uj=eX)JOVT4Lu;S{84GZhODqBLlyaBmk=8=yoFH7@ znpj4Nu$djLKAD=G%rU8*?Vw@fa>X1@|2jwY$fn)ITT5w9tk8_8MD6PCwu&5NmgE?(v3YsHQbc}6?cdab{at- zp13GPVnmiurBG{6WjgnLzX)=AZq%thVbTblvmAPBg#uPnUai8fx_;Bzi&_b!1Wgz& zWZq_2{&~vl$>ZOpCeY@rwhzXpT!Lr5eF9Fl3C>UcG;)e3D%*YVFmir%$d;@lI;Lh9 zvYll`z`~{=7Gaf?@I=z~k{c3V>E8&cA?M+Vb?{EtPjGVNnrsx8Zy@2C-iytLa>;$= zmvD~mZ;X?8+m^P{BBhTY-Zff(m&dQt7m9wS{!-FlEPFDNY}n zjhkviTECiO#{#HO`?ATq&&4|nw`?DvCUD867NUuIeO8>W(70X=Q}k-(rKF(9R(~9q zFRLHbfX>nIZ22$JY)($+AM6|va=LP1hj@VegrO(A9 zNtya8lIL7*IOx|exi8Wo^bTLfk7M_~B_$Z8=TfEEs}@}eB?X&3PQ3SQIDcR9Z53PX zdgf#QE?J3Xac=^=ZaJ>B=5PFx)gcli-IYX6C53_viOVTWd+VHEG+!BXWUtAb8~v>1 z>`4zcd3>rU@Lfb82{S40M`8X_kNn%`0+A$aZXTQ+&8x}=w}v8v>YDk|b5UT80&y$6 z*b zp5-~Wcsh?jV!@*3xk{&cf5E6g1)NCCf7=%BGqRk>FD-ZS-g&NI27{b>pvs(e^v}!a zbQ34Tdd=YSO{xGSIYRtv|v?}W!LNGb|g-q)?f) zleL!z2RrXo&B&%^b*-cx&g(dfWKAijffYsS{K-h=eDSgcL&uh3ss1gmupT-59?aif zFVk~bjR#Irg!+>_Pf0nJ8S~V!LYF7vbajC`0wmWSfUGD!*O-^zE&eGtGYd8;j*3;~ z7ZG&JNoKNstx^thFVPW+e(a(wn^Sshz9E^R7W1N~wN$KLW=lJiW0si(e8J38#~{ zyyOl}hs0YZ20A~FVC%ZU1q%~Nco_YOsqPvB&V!M?-8!y}rcYMo#x;5wcm1#@=hN49 zkzs^nfrMzt0VM|qXu}AN-~V>qUs(>J3!eV^n039%vOQg4QYLm3H131wY6t^1i-e%W zVOx!|$Iq%5IJPEB6BZds-VCK;lTg_XO4&#gS?CzbI)zU@=o_HnbgSrI@<_|b3=hoO zO<5|yQ#u;o8Hcrrn7{0J*HbWq9pnDCDLxm&OC~)ob!_f-tK-P`N0TVX#=NGS8t0z%Z0!h2UmrUwETDgXv_<5R1 z!Kz#@#!Z{Id9<9!Ih*8%_;h#&qu?_x$4C-|x+BO~!|^@$x!~2&h&pU2v37+nq>p51=~LB8#(U z{DPfnq`dNZDXiYxsg^u%4pLYfwll102=HhrdCwFCxzz<;ReEQSAbUUFrgDg7gvJF> z+2gOEVv4gbeafd8R8^G{bL zfF+q%mmuQw;cjwlPXXAVgO{Df$T z)`7JJr-zx4r&rd-jN$V0YlL$trWSf`PpcVK&e~=iS4JH4J10UEZUD8&+$vfVpe6B(M6}L?z)WooSyTN>enx-~+I%ZG~TlgIv`Z_~iL>sZnEt_U|v`he>EO~(P^t}b{843CC!>gzUxA^>5h?YE9^&Bw@clO&lw7d{}57hYO|&A(VhUnUR-J z_9xWglV>DpmL zh6X){!su@YAN|iiQqzjihyr}9|j zMj8@mMFIGq2y=Oobr@7N{5EiSe&d;U0TjlT!ci^i{JD3n;>E~}=&u7ZBcdw*XYAG@ z%GH)3n9medk|0?o%a@o}1$v#VXe3X+rn$@4MxLmYdT&#G14rseSf!%n1PKd7;+C70 zd^34uCqOQ!?+gJ9h8HT*tDF^OMP^I(^7mHXK5 z%a|v)*P0+BY$0x5ijzi1c}^L|b28RJb%VMd%d}PX`e>OkL*z_5e{7=CZ7OD3aKd!d z6d5>)s{p0vXUl|K3e;m_TjybnMB`z@OfET?;GC&(FVniFhxmud&o#!wjsa0N=wV%< z8rEVr`=Yb32vhT z9&RYWaT!UPsBp=mHIv4EUE{c$Xc4>fl?;_a5TimKxvh&Q>QgtCaWmKbQiyA~)#F5g zA95B9-P$YCFv}Q3O$b9bHX9US-U>PL@RMqwsVMkK7p`gxH@tZju;iEK+I0~fmXud? zmRn=KryjIX6eF>u`M}H+bvj3iSMLNSGGREZ+-jG894MsYM#h2?WsBZP#I>AQUL&Q5 zTC~!jTZ8sA-v$;PnKpH@G>vAI_|uUg-{xNamqxi>g+yIucAEUcH8<*c!8|QN-Nh1x z41la18~hCBjf<9n<0n}W)XAJ&9Zt?V-?)i98sWsX)j=~#AK4lDqX_`AxhY+pB~R&F z0z3dYoT`BXJ%<=oZmSdpr=Z#D!uzI`11gq8{Ze>T+zNmBS`V|PL2NC8_`$Q<3AX*v zRx7(gVC60>%oW?oZNn_d^nCR#dV8{QgP}~3***L|sPVk%3iOej6~OAlG8%84bH(~5 z)zGG^?djkTxrUZkWE-uG*O=mtT71UqZ=je}{hm=w2-q{mFsAwSe(xAh5 zRO-Ddm*%@4&n$Z|@V;*vDrg`Ras6E9Qhpc8Kb;hCKLp)5x6ppVSTQUV=5zX+jERnXCD|a_-cgZq2PTyBR zFK!(%W`mGqdq2I^??-g@->3{}bF_85_&6?rt$KzV{T-LY7EQ$VTjNi@mRRj^F-8M1 zu{U`E+T#TqrO_0c`YC~EUCN~oDW8kn!x~gywIlqgA>t&(NCVV}!9B}}f>CDe{Gz8# zeOn$za`DV5A&@Q{VOPlk!n$ZT(MeSz1N8mtP;~cX?nL9Q-h0bZb>YL0In=oIojo1h zQ(Xk`R5&=OI1`BCg*r|cmKo_M(87tL0=}qnbae|5XUKWwSq)_NqX`eLR!1T8HK#C+ ztx`qQNP0r`J2MN>(t0mvZmDfDcJ#NxNbQcf5$gMuAP^f5m(+5&!6!F@lCX=*C?6p?`a$PK8gac9U z6-;ihiMAUwH!dHp@IJ-cW>d36fuZTdY<_qHa9$XKU^lEf1&NE7o z4}(+uV0%X5+1JfCQ90VFrwAH0^LMvroYG=RdY~5x22Rdq{S83#K=%0hLT6Qg0ta-U z9_gP}CRbREGe7?H;0`Fjh}O_cvJfA@KBR4i5o1?OTWy-Y=E+(gR0fnm*yMh261e|t zdL3V;*n)CAEIy*{6@-v;XePsDbAZ#(`l~J6gH!&M&Y*@etPS!&KgBSOx%a_cO9>w$ za6^BeO`8$t8*yn?!=rgd1x2>3raS}=DSKhUKa>|WnJH@iloaG?XKUD_s8i5)mCoTm zQ5$vr()h!+LTI}G#W z&)pPJk0!W8|8P9p>c=t$*r5l@7%f7WL+uOp54P^GOz-PoC&<+PvbBYlUJq-`U%s#~ zPDRU4z2V3aGAr8Vo=)!C-S=C2?JAI_utk(dgmvAR6!q70s>ki|dw~qA#OGnDggXAA zk#rdq^MR&_F4D{2Pps`jC!xOMKyTy%OkS~4JSc>e7x2eP?1P|``a~WrHyGDUAF!c+ zhdID9EeQ(dMKr8m8y?nv`6CDfq0o4g>dqK~5OgZQfQ(1-7c~<%?JsrauqbJTwM-+=v$$H&-6h&kWy+@K3GP@{sYjU5_2spjkoOa)oemo^H`_N z1+b=-Vev9~p+8INub{V7a%}mJY1H13_El?&seVqWf{E=^8dbkCm^U}&iZQX^tpac= z--<&!!I23ug=7=ZWAX)N`?s@>jE;-s*nvvAUkUo0q0!tTo!N=Y$h7B3h^9TB=QU`$ z3LwTn`ibA_idVr_X~9UCM+cUEyIR)eugpvP8n#YP9xfezp&{w;{xWrae6^yhM2Z(` zyso{)^hU9ZtMUTa!jYx@;l1|SQ%Xj`ds2T;=XM_dMjb0UAHqG+>9%r9h#yTQ3*oMN zB&wixO-Bz=3%M+PbKpm_<#Ds~O7uHOS{arZJAvBn2q|4agi|T)+lK6R>cHkZq1rGL z&D_HLpV%17AI1f7e@@Yh|2&rPyIy2m;Z^8l9Jb~u;uu?&#RR`0-i#6R{m?1^$?+Qp zbw{>vms7KA%q9d#bQ_#A84JlgKi=C>TJn`;4GpV4T~pv-_ogzdzS&-es150W zj9ysOw?TQi!9J}H#KZ*$n-DX6=4)HoFz0b}Y_}M}ei&L8vL}^Du^1%%C${lVbqh*= zDNH$WGA0l4PRBOMt{BYa#C*~*OPLQ&fh#GjM84AKL?2F&1Yc?Kn!Bv6iR+3jt;Y=E zEAV^F7UmFPkwCJYZbB>K?gyt!7e3^fmU~|+@VfGYBUACzmagl>8$iv)?iqH4;2?&Q zM3y(2rVRX_H@WXIhd;`^Jucv!UTZ!YS)tzZ=$m~tvi{;s7%^c)T>}m9mZy4pcpQ#(> zll*XG*wlYTU?cyUTlu@axy(l_+j*hy-yNMgOynn#srouAjG=x**UEW(L@ruJo?TY{ zPn8lM$*D2Ry%0~t?>U%_cZOFwN)BI+-M5)KuGx`&@(QWv$4kGC+)NpjqRZ6>4blF6 z55qeGsPeqpJzxw|6rM_|3WafYaWAH`7~T%?@>Dt+=!$hl6?L-`lxo%GJJ?sn%h*Vg z3(EJCxe?OZ?9;g<=Z8U zuD?oz#G2O>*^YnyiBa$HHcXYlaM&?UVr0NgBu2Gp7{5#Tn3QAFK60-B_S1#a`pNKA zF2%BjLZ2Lias5Is7jbZNFgaznlLUUA`W${#0Ikhobg&V06-$^y#Owy@Cr>!bMW0;7 zWtX53ggS{$%r#VkJ7pb(%<}HOjk9xnaap6az1QAMjm^dE`is8l>FI~GHt*ggj*X2; z!}WlMaXn#hLoAN(*hlR?M4T&1VO3N(F$+eO!rJ+8(9p4dS<^rY?vt>q7p^&7DVT&rCR%=vFZGtjMpY_Dt(9rxw_ zL{Z;}FL7_dX2eM5VPFb%(`)&}*~!DOpr+HEtRh~`cNo{P*=E&GGH>_G2!2Cl<1MM+ zoqU!|S#%I$m2~AIPtoS$?pGBq8NGpd(|XoGHUd3Ev&WM-q*^YUTyeCjry^5Q>Q>=) zmbH6@NNm0rwuvH&s<=bHjCvQ}W>({VVzgTchwq05ez2@%R`+r|C3>vmMvBg6-(};C zJ&MEn_W7yOgpLS5_gT=%JNd+1ArcRTEa$XK`G92NgVIUSA6CU>#;0fYso~bokuqww zh#1(-l4Tg$)nn_hm-$dLn6eLR0}4NnVSG(Yo3?X{D{7)|I(<8)%_|zqfNf&#PZ<5> z>n~qu)O)qQaO~;}>er$OQZ`mP;b$;j971}Surn^7s0)feBnPHFpTrPJxa;qMrp9Iq z|Ezu#mM|&IA;(H$i|gSE_3M_O0J=1pWzmW4qB!}3QsN}lb4Va1Bi{`^oR92Jl{h=- z=oD?Mlr|m{Q(3#>b@8#j)q6Si&KGF68!VBh>y>lpM*@EML5kC-`$XOal%-_5Ts*NB zjlXg=&iaMXg42h8$-gS%$KlK$i)0mo*}r!x=@$_Y7RlR{`2~IWNn4<5vYHOpwH75l zMQ99&yTXHp`I`xKk2tE{tHKui=q;43CUi>p84hd3=WDqV&GWapx##F6C|-A5#@!cB z;ZYwVco%JlFa6N!bD@BQxtv0vG+LU5v8a#{p(dW_K9c`Fx_|rmxln9Wi4PcXS{dRU z)t#Ig{_ULZ)Jtv)uZ@z)5iiv+v9$d2HHOrk^_SEWx>!P76RXuY$aW?f zwB6fTwp?mwPPP%v8N|j41W~k1@=3b!QZ6HFM%x0UX(#zgL^krMNpZu^6kIg~2YBf2 zXKSiCTvCfUl+l9TahM&eqLx~ETE&MD4YIOb~)=x(;QnmZE&hFK+}~2Dq@5 zDa2ldW}{TiJ@&>iir*uG;q=&|)@`^gLA%{Mw-PJVDAvKJUA*){|ldo2z~;^S-QNMYU!+_Sz;ZJu#z{ z&+^C_xkAzX?|Qnh2;R-y&hDaf`{9o#*O4?sYO$rqM`wuA2~Pz+KS9(j9mte<3-%CI zze}3_ci)(#Y1hvq%54hV7NEr;_x!W&SrwCupH#YK$faG#CAD15d*@;FPtOf(_>)B? zBx}fHEgfwma^H+X5{MP?R`8okGJnYv@hUqCEr#&5q;O3x_5p;`bt4?^`O%u89n1J# zkxG8&QPmut0ugwZ!v1?usRB1>=@97zNda0Gg6ZoSp*Dq6?s|h{R0QMQ;rV5e^P^h@ z%2YzHGcae7zzmBtgV$m}>2s}$*S_4Z{D#9Gp`?=db6p4Ys3@ftksl~(jmr`h{NZDA zU{fvq>P6qgVr@&aRlw=+PzF;xvARqrB_hr!v4=ckllVwWlz_!_^>Wv}ZIFLTH)zW| zhtMM32@Nqm6=SJ0tG{}LZejajX>r>^EwW{2iei_i1MW^0rkDP=$&sk)zjvbp|BXf-F?l)LLEB$AF zug56zzBvqAF46Ryiy-HiWHj9N(}&MfsCp6Ej|uqi6^|i zb#N2cg7Jwp)-{Ddy8JaWWI~zb8~Z{tL-XJFrz$M;ajMFzY?omU;hmF zyvo-7A6?4f#@rpQlFYB4{+4NPD2OhBGHNuy=6WD?JJAI`$vUL2@Ldn~wJNq295LqT zaZlb=zG0!BN^G>N?KekSY5d;Y0QWyYB^|}u7}U}mB@iA1B(4RjFo|N+`F*h?wK6(m zLgVpNU|BprqzLk}`pv?!r zY@CmcWT;`n9|=eBkwVo6A9$-2n>J-`81o3Tc8#U_{Ul6n%5!S-hb#~|d=^HC+*1o< z_-8_8^CWq!Ak*Cg#iFR#RH&d}kX!;&MKhAQHO)lta)o}Ot(EuO8}+n@mQh9&xsV5P z+`lZ;INsfsXyteOQI2+gk^G94VV?>glNx3xGR-S#!TVm0eVM@k<0WAqPk*saJeTJ!o>Tu0 zV|0?sdDAQ!s#+<9LqyFkvY-X)rOZJV2IDA9Ux<)VBe)c~hixH-^8%Hr_0O2Y`JLh? zYTszrCF!T7goxu?1Q7|t8ABBSC{54x2s1C*%+aZezkDE2P)50ksUr*KzIq3>;-9jY zrwl`(diSUI84i>BU(P>@B+M^$=~sS}BKy$2KFuU? ze5;>~OncRv)SD%=;$&v87sqWc>dj0=ru#7Elk^fN|Mv2j!#ZM&mBU*Dqwe<>=uyGx zBFza+(7$?r(eKLOA8kE9)3QBkqd`^+8*F`{AuXIW5K8T+YSWz#$YR7p>Gwq`lm z_Go~jRU@}IGbND=NsNfA>6_~goN96_u^G3%1S{9GqutuMgEiELzhy$@)JUMhHU(^X zUZJE?$HW?^ha*}?7GdB9fr>Z=ah9r*QUoJJ-Kv`5scK01U$~-d-3si;foL-xgVBjH z{#_Q|x_D8<-PGcTu?J-aaU>t2aEtkRgdB}hZ;`1zP^`uNiA89u_OM&ax0gs^gb&Pt zWmrF;mKi>Z?gz>|<5;e?1!gbTYcAYl7?~WmfVyT4!=5bI1SF(FJxuVjl%J3(xiDNd zJ|BkbGhjKqR)d*yTpmDP%Acp*K7z~-U<)@9=;_fZ@~tqDipi@yu#Q6N6CmHNVx5rC z6=Pl}!zQVMN#F>A35Ig{VA^~#83AQO9T|-}Iax4LSZ*$)l#+`g9=_g(eF8sTe**lM zq6gX`3Zh(&?p==UdvP<~lEY|#Y|w<_8GE>Ju!)Se0>$<;$>bh>WV=Tp7V4C4TcFi9 zuzZ|@ZcUVKi>67|E3e^mO$W!}!Z67eO1p{t2|M(}j^`UD&^PMNcST;c3vzxwYxT3(sjZ^ULR--urp9fCOEO|C8nLTm1hrraY~*Y{ z%Gd*#vkwSv>dp;R;`sYJ4*qG{rM-)bi-C6EK+Ch?g)Z1^^Ste}AM}Y%75U4tgKo2> zi>jWystEx<=#I){DCxC5v+q_in3{XaFjp&*X^rC#fm1u6n~S|H4tW)}-MnbvxgpSn}>XPTKIsG-avES(iVkvty%wZusnPYsL`wV(#urXp1>R?iTZ z#IDyucbV_Y&rmLo1U^Nw-MR|w1TdCCo$vq^P8S+K`LiQMl`JmTkV5&LZFNG_EXnpM zuZ=2>SDZ8HGrP8J>UKN{ni;kH4Qb7!07brshOsvW;}IT??&M+^a1u;(F6>w1+nvuL zYJqgA#d)8qhD&JPKx=FkVB2dsb2@Tg-n_57p>)=+>2CJwTq3ODb4zEMPRHeqJR7aw zPP31%-b|N*JUi2;GK;ky295433*8ZY#(b#?W(<>;M&xL7NIa;{DgJ2LzY!{OyvkCMhV0W+6@}@cFqOBHY9e+YiO4WW~=#_g?N{QEpIA#k< zpbVfz;PRHjUO|f1qd{xl?5dR_4=PKR2UZuVFF%YU#I?esclzpGxE+O1Qcpl?BIB@I zAiuHnFjiP63S3qGEpoj2xIuZv@U||k6dSTw+W&b=m zX_KqIyqW@0flzG#WdWI~E0db9qp%MdOSg8N0LGYBXP*G;n!H>MQgv_blS5(NH094k zd5xo>_u>ifuC4S6H%i1WXgqnrABHxeJ#SHLdr@~UB`JVZ==}g%^1usAOEi_*Ut{Vp zG-}qLlPOVVfu#B8_JMioHfOL&f(vycIG29E#-raOk%Y zpzXuf0waLsM!E0JQW>qn6@{1QG~Pl9AN}3?3MS7L<4qaD+fH=a!0yH#0}j{$IvSb> zV%II$JVs0rg|_E4)pY(xR?JH?DimyyyF={8LpNOMjcPvp^i8+&MLPB@UH($v@wz-H zL`Lb$)AU9}K)*rl%U!ZyS(=D#|0(0{yA9HJwMAvqoPDF6d-I#kr=Ps4U!{f0&7p?G zK(f5J{gXl`FUw)nb0Y-84*@iJZRNJ6K8IuFaX>%#`|^187dj=193OZIezBATZT&7HrkE33e6?$#mTz%UG6BHIgziR6;X6F*pCt1DjR^x5Ei#>aWt<}?Mrx5c>4nQ{ zj5kvABLctv{F(zZgq)RO-)Jp%W}HfFOteFFr)kCKt@0~Au_UL>C5nmwci#$2WaHv)f7Cxvavmb$1VECoV2~O0NQ4{>Ytg6w3$%?4F>;Pft#4 z>gg$h?aT*Pvrz!vATygPWR+e{K~brd*Z=)Q0DG;H9OBe@Bf?&4yh>qa3ds~w#K<8k z{!~5iAW0G`GZZ3=to$r*DMY9iGCpel4pu9U-$UfwV2du^_Xu)4TjN5;@f9DPZ>Mh2}-ez&}QyUwp3gFuGC-!#}R)eavjr z&KV9%=6Q3v-*rl!A=lN1C!*AG*p(>v5mx;>M2VolG>yz^?MxtbCsmG(lZQdjfmWMO z&x{gJ!UnyaYh=Xc0+)Ay`Sn~zjz|rV%cG=?-{z42*q_1kVyz4af-!9rorvLd!$$t( zTE$0AyW@Z0E~6b!77R_W?KhMUSLF8<#u`VNiqYY%2Hg`oMYtjL39bpteJ~bLvsumO zcq>CuI63qyND@t>Q^;(}BTA0Ja8I2O&PTpcC(d>%&zDkEul4Zc#Yc&emj$qkK}1j6 zY{fE;OA#hEw@TV%j?rZ+GpXLguxARPeka%U`XDftF7jX{k#Q{LF_WU|@`r{fKKW0> zA^bSO$(Gt?e_jzNklDyHqy>MV%pTuPPi18LB=fSPLP+`at01zoTdgP;gzzUL`;W|A zXu3(P3?}C1l}Q^4*h`6Y^Q!O_A^P=PqC=7pBU6#tUa0yNijhE51E&QT%(AMdH;P{j z#>^jhFj!zk;*P^0VqV$aE=Lv=JwCa;Of=4?%$luHs@KQEHCz(foTo+w@5Um$emQD) zNo?~JLo_*P37Aj}iwsjJD`lbquyZe@hH3gL3r6rG}x~Lwyb9&hFDj@ z?8_?H7E12m4Ts~}2!fqWi2ounB6fGZ`;2pKXwr{$$`|C+vaH2Rn6^=$DqpkhS(suC ztw#Jo>RLR&C9^#t^)cmh2O8R@MAxqXLdpLUYCNo-2O%iPl}orUPWBK*O98rcdtHR5 zIS2k%OA=HSmUIG!svz%d`hMCLO4L!lt@rB=@_uYtN>2S9K(qm_@+S!$=`d}#w_qzx zmz~9AqRk7iiNfxI6!JK6jPvk%Vhu7@E$08B>@CBp+`2wq3_wCrNl6hT6zR?_f;0$7 zDqYgurGj)wNQZ)elysNmq7jjn?v#+OGj8|uyx03)=gT=CaJxZZt$EKm=E&dQ=gWp& zjfQEimH@UmIaS_+vS;42ajNKF_U+1>tT%k)oI}=4WMU5EwTNc?+4ySCY;Q!@$mlwn z@hFBA6eAu2`nii(h>rY9`j01+AwHx_7{M#hm#4vlVb?GsQ0VzcL+$uaTgkOzgWJWy7 z=e{mSaR2!Pt4uKoL|&-Qy3;})=Ts!?10w;G9Zo#?Rn!Yl{~?D;+i_eR`|s{y zx4UU&U6u*=^^9M1_db_X((Iaz9K{k7^K05uUi~VOPx&##qOygP@XNXv+Y8dKrj=}& zSTUE_beGqw)w3}1pD=3N%fS;*GAt{a<)sdymMT`kEzkJpNzyAO2n$9_b-`e>4w8OQ zXIShJS)w=PMl+xr?am(+)6B!S<9=@jZnun5^bdau7SC?m=4XAO0iR9T4_;fE6hxIv zV=Z&GCR6-+HhQ~l+b-%;J-JsLtHur#?-hjYH*yNzRIcKyXDFFkIT%$X!#wfnTEqE6 z#4sWT5-=0#s=57BQ++F0slB@?2ZGvXt7={Cor+5NjtyRMH+`|njoznW`NX-Elu@ia zAQk$>Gcobb5y@ak$7bXsj)7wd+0Telfk`_j)pl2FbCco(;xyLppP_p<=*Z$ZW1@S8i;M z!&$3OIejd61by-os~NrLf;OOB}QL zg}y2k->GD5k-{Bo36ErYoL*etnm?f%I%K!!uwO;`aFGV1F1Ti$l#R~h*Sc|?*S8YNu>d@eU> zghrNJCLc*BiIQeAeCWMD8cCo}0r_mxtG8^UpB*rzR5}*v<$bUoq%VXiX4kDoOn2d4 z1asl+NRG0t{PRPm3O?MurEFiDt^M&w)ZjvSSIiJdZ+mZmeG1dVY@9$YU(yC5~hyiHP*#Qxggq#jofinN`bS z?oyH9$YE$u1pB2LHn(J_iCF7bM2brNIB&8m?z-QTJf@PP)s}H%qg2?V<*<-D-zoX3 zqG%46+j(fuy10kAjnLp|Ub<7$jc~{DuVY5H^OS4uN>?ApJGimD-?;aoFEKiCx=K&g zT)g$OW;!RYywel&_~gDhs8SnB0c1kh2PZbO z^MjJNvy3%ai6IJHnp_(ps+SxSJ$loY;~;h{ftf$O2M>BIIy8&QO7oQtMk7As5jMBp!mWQ;v*wub|;Mlyw_#lak4^xL8t3sO{yW6wADFKbp3{r)1QCtv-v(y?}&sS_PDLSWDkyPcYFK%arGrQ4HwPMW?hIa4e30iXE=^Q6&_Hk9p2$<~+#2ROpoQv*ANZl}uE4>kEwrW+LJ~P%RSUz~Zq-$cb;fy`1LvGr@^#b7343vG?An{C+lFH|``At9*;d+$0`@ zFIR=^QKwV9?DcmM#*X^3$}=NRQCDMz5>iD3d$bM|rk`TDcC{22Cp?-{2_HM7Mn}!R zrMFNYS`$NVy|u-9X>+-3B34DG7aZn|>?IT?Cpg^KSzsavu5O3Htf6ZwYke~$jF1gI zxM$V_vwb9Y+Vx0+lpYznd^4V~xh4CB=LtA&0doXKuZd|tOLZEyHow{!+f;}4R3&pi z4T{{MO%J&~qqKDclF_>7k%nbTmNI%3G30)`w?*t@Yq5MI+V++dw)vc{RNFqx#qX=Z zQ0TaA>Hi(atIAB!DO5-p#rU3q6b zES9{I;4fb+vOaoM6`*y zZIfNuh$ZpOk7J9T=R(l!XshXPNd%gj-0b|iJm0>c|$hxD?Xj&3wm(3r*&ipXy_ z`R2I4D)K_dy)$a1oGffD$1*R0C$D&L&+nvU<5x+jZE@m|G|fB;Pky^4Km8A}z1H5z zD+tzeTP=#s_J6a4C`-e*D%C9%={Wl$hCDW(xs~bBc{YYSJ=vimjBQ%o|4L9pZys$< z4a1;NrX;oc_Pn(f2fvBaNWU6JZs;YIc48tn!j{lKXQ%zVMv@~S8}0Ed!Hwe^o^lgI zE4N8(m1&wfK8l*-1Lq6jAyWMKGY}P!&Y4q~s2^QraOml{U?l1Qx zzDm~r`05Z#lRi2x@9Nt%RGiSgpFOC|`KH=m`P`dgeIX`3;9v>OjcHfxAvUDOFyeqr>P<=#|TioGXb7e5HB_aD* zHabyozglB}{}zf>+lpOz?+)eiCdRVMD)&K=v>h#d^op@F%_b!KCYAEHo8KppnT+E- zjH~m&YI>bX%%)x{SyOvS7-l@K8g}H?P{n;-5r;PV_9a}%e)fME!*xBbS|gIvH_acN z(3GCxrE5(JH8O_LPgdjKhCceet1dGOZqy=PHj!q{5{$3Po!)Zb;-fkvIgwA%TT*-~ z=n1V|k_d^#Q_${_Rw7~H*&^bL7_JL&qtSG^S;Mu^(2tw#e(Qhf*J#+AuF9&vbgm`Q@h0&E*xPZ)Wlwfa*bU{je&!iiN@l(Z*@8Dhq5(V`5!|u zd;Z=joXW0P&(LEH7`ShjcmX&#%pB^cJJzdPFxV*!VSfO6cwyQBMSBglx z;M> zus#!$>J0PbYV!-uyQ5j(xUujZXeTi*tY(nGw7=jH5_0nSpod?l5d;b#L4@X;?D|rK zJRrli2pO}bZ*Q&;V59%#MU0tdA+s-lYdT!=J~u%sCV+85aB~P%E3Cxk@j%qXI(N?F zI97I-t$Qs+a^&NmU*f=MWm0*gCSm+whaLWuj-k7?h*9yc`R<D$>W6W;;wTge4c=7=|1n|2-)O55Oz=M zn6Ya+@s;$1o=#@-Pu|0KsJ(0MJk~Z-ZfTrD*&`nL@;Zxt=4z4a#Pr*6f304R)t_Jc z*RAeIW;vPumbWBh163bqM)=Q?Yy8*b^t~gT)hbv*GP~{!q1aBG|?CxV=N>iF+*m2ed z1jf^avbL!Ptpo)x(L)y22r9!d?Ml)VzgCz#%cp~tw|vmVxs^vO2=Dk`rMZf_DuUq? z%_~Qo7f$Po(ezoxW>ON1lo7k|(K3fclVrqlv>z3;q>EHsb#h>>cwmQK;`Vj%MZW4$ zy2vq2LJu86%>xkKMI+hd7Dg}cTu8Im%@^esGssSw0^AGV#p&+0U^s%~uox+PgYa5p zSn8q+y!QT1(V>y^+Pp^Cgmq5az6<`N<*A;Q%mK&PL|i=M6sBBpU(vNJe+y}?ZO&>0 zI8~or&CgUwfUf)P85*0wUhJoC!5jDuS7B@X9e_3%55jc*P`P$)>$L?#hSlCl@V|wY ztuPE(-M;>mC&2Xh)|J+GQOYox=0`Q-BsuhR0-EbTuiS5mpc_gMGr4Gs$XvPqlazYz zMp*(lQ8jK;!DWfrM@%u^*t22TeaW4QY>N?cOpu(EQNiC=RpeG2D_<^r@pb3SO@T@3Q+EV zvSW?hW0@{a$saC*1ZhKB`z7N}qDf3Sj#SPOWHf!@*+XaLB?2*TTdv${8x4ySz!~RQoeoN^m2FZV?q?Ek?|B>x-V;joUqis6jK9Ao4=J!S2QxS(o3wD8|KK% zZ!Bu=eODc>a|FaKFc%0j2>QIwclj2gm8-obfl$oiF@tlos@Bl?7pscS@Y+MT56HJI zNRLNvvH;>9bp7R#v@(Wy9!hE^8KO_f892&fb&pQ${rec&x;E2j>=YBq+-KSMp*CBH z>*C-YnvCy1#Ph?ji;9xM`f|{X#Enb&md(3F&?0X5=5Xkb{_!qR>x~*Sr;_e_WbqbL z3_?t6jt(2uazqYh!8~M|AQ|z0mUmr=;++DZxiMX-R*>i2e zt$9OujK62>Q7x;zDfn#@ZtLs~oKVv`d`^04fGb>+rrY=yU4kE3Kd$~P19fc02&X3P zU_za;oLSGcuIC}wiI=-xkYqxe1moakGr3fy+_n!?rQDK|)Uh1UA*!ex7jth5U-Mz_ z8;dRU;tQ)|tRRN*N`p@)XRcGhTsM89s|Zm87MHxmRsH+%l#N#}WeeKT{jRsF{~ zJ}Z#rLur>{pw&2*ZSkw)iHRbo@y%Bd>f1V$ygL+aV%6_6OgBiJz`x!kZuJv~FSy6x z3=%4$b$7~E!x$pPVAR<*!EUkoF*e0*^~bR#Dg0$Jvzt~TMCP#$8Wy$6H5uxw5LT)mF+JzY*sfT#IRzZ{bDPFbl|&%yP+RJJ0B4`{kU!Z z%Y*IofVa^39M5?Qewl_%9Cbo&U9R36kv>#P8>eNYnrPlXjF?e{jQ>P_w|RnHF7Dm< zG%Khvt$zla-KhsI8Cyv!hLN@dHy6(PD!#jO(=t4?J0KU<8Im3#Kh_xO*Q&= zwLR4lO*xF6+{znP8ln{&zPuWoi5qK+z}s_A1*pL>>*JAL(w zA7$z_5(lw0{PGnW@>gXP8_Y6n>Nany2bXb#Y+BvpFY6k`V65KAE6MvBMrU&H5~Bjp zeDc~QfjPWVfl&lqoY&IhI*JuCW;hgkS7p%kIujoI!z{CXlTpqOT4_$Hq?=j!T7$Er zD$|S@m}^gZu;=2c-Ivk+83_N_mC-4h6mUc14vERI!UK8JV~x=D^V!u-u(o_}%8a^* z5WXh@zTO_Hs3#oX^sp6p7-nEqx2KARz&S?dO46Cr)6+hnyp1YnB=VzaHE5`QQs) zye%R2u&D0Zj%*z}^Kf@wTdB5mzPD^8uXzCJQ{xdW7Gm>Q=jxh3xL7~xvU$H9I*lng zU`Gx+eIO=1OFkEngz5&aXFe4E;O9?fm}px0IDm>anv`93QrmuGUR(EGyce6`>_XKl$7fM0sQC+iq8TwsFDv)urY zd*fC$*8xA|(uD7Z#7Nb%+sW<+c76M%K+_uK88BRONp>$+*o9BBPZ&M^{y|sA$P_uY zywA*-Czr2{Q9zq(ZsLFWQh4*<`N!*&%t8(cm5^sIYN>#Q3OyKfPSnjx!zL8Y=<`BW7prtp zoC^Cx3&JOlF6512tG(QCx{w)&J{!1RzdKj=Yb)8ma>bi+k<590`i1l6!hS0G^!`a( zm5F=ciL=@rmUsS^U+-p#P{%}co~yN!@y2w>_B3;}aJSGoF!iDVM{?$p;;$409G`c{X8VxIICa*c z?e*u|)$88prXm?Ltv`QZflC)FxF!q8GFd`mQF3>ySl3mn@qd?$itgvHYXiQXQCw|Z zm-NVI)Vax?+TrdmeW@BP-IXuPiiup4fC&H#4An@O5;VuK&!c+uwNvqltvfHfvl)c3AXY$5X7L;#aIa7V%X^q_V>vbe+P@SKiG{l+Xw_m8uvQ%s8oG^iRwCRGK@bM`z4yre;_P4- zDTLMhu1^HGA)x$_6cDkF2OA<3U`w90G`!pf*%v4iyz<@x)`IF=|7ngcShPxWMY8 z5N>T1%4zc#-@zd~gu|a%!ezRbP)?Be_)CXJNUcZb=VvFQ4c;PugA*7vY)m~HO{Lg& zPjZ}a9NwP6^NyqCbD>vfj%AGP0syxV!fEk19!O2WsqR|o_au}KCZJ~;q@kQpivR(L z*|_&EHXgH$N~{Fy@p;?nn3)V}K2OZ>dZIu53_$B~HTkNsU;iq9R7i2D|BUM`1GPM- zW)_2yZhTNC6>ymZH-AQ`sChgGrlAJMHwCH zU$wf*EyoYLO@t8~R3&huNGK>4a&o`&&mJ5i(iRAD6s;J|ZEsL*7XZo;O4%(iD*Vm4 zewTt0Xv+v4?|eb${N2m1yOJ*oC`VpwR8OEQjMe6O-VzPa0Q9z}U>u9oZOFNJ#l3fy z9lE|$Q#~pZ>3c%S$fk1rhC35RX3nJpA*I=27G6U2$#@0ro4f7j4+glXlFcHYS6DSR zauRet1MpyH_L>0k2jW?Eo4iftEMjvW{^#pRpeA0__6&x2)1sSL(enR!obW(a*+BPZ zE6SKI19;jf3L}i68Fu>$ZT` zb|iO27P$wObT!>=1Gul=OZ(&2nA6B3`R#pivP9|LshrXjtaGXlIvjSOWzdL_%#k5% zihc&k^!{mNz#r4FaYg51PX~z9XTRq9JU8u+pwX!liMvZI$GQJ@kt}>rqa1W!8F~}A zSw6m5o(z0ZK;ELbDZ9rw6qi!`Gl8wsBK6iNA&-i2tJJ=2q_}=}Jsj?neL2Sz@nY*v zqYDQg)ZRjD@wh+4&%nJJ<#f*f{^~|AjUq$FC{J=32&C{%)>hVJGX_K4lu@c)Q)}=M zmn_+AmbNG56JeOqM_lo*T^T_#2&+2~6ATb^&X!Ny??m8o*P;+YX1Z^Dj>JF@yNV`_ zW3I2do^gRY(aEHNhVc;dpe_lva*x+_tDE3eCfRo0^fRR_DTW5C(Fg7Y8YO;NLK~() zv1OSCd?yxyUyXGfTX!7R!bHH;2=LWyWUjfn86nhPDvn4(j)8>3X@Td4d32Y?z2zQA zK2SHB4#7rm2JGq5aa3j(85Skq_lfF3aLTD$5G?EIHd^ugV8!pzuFVb@25L-bB!@rY z?^E?AEberx6sZjc3a0&9AAhLUED-s!Ew}|Np=julZ46TIkZqf%waZv&oR0vN_(flgz-Y9?}GH%VhV|?PtUH0@_-FViG?7kg! zfqj)~w|uMdJyG*(X>ptxj&F=U0%|lQFYF2SWAc)3(zMiJRWolkjW02eeH}juxUn%5 zPM|KLNo$=La$~+@$zrEmT-e0q!ZH!KGR0nodmDm|pXG;K05S&556i2SdLfn%qI+YE z(+Ttll$!C4C zE>T%Q$gzJ8W!nwvF3M#zdb$DdPPJQ2nCt(t&quwd0}XlkV?8O zw(?SloVsO4$uRaoNl7;AKN-5CK}klDni$y7$^KBTk(D+2O_bV5W?IAhX4Y@4(DwOV zt+3xUieWG=Kh%=^g>7eo7jXM*o3F|=4k`OF%rgOiH*=+Rp8U!$KrV3@12ll-lf>!E4Dc&E`T??r`Zb)D>g9$ihieab;egrKLjM9r`Ifk% z8Y*#1x0UV1XVx;X~UygkO__i5ehbP^Ark(OS1@W!K8w@3G6 zR9Tua#bc4QmUZ!smQjM2Z|YmqZ#E6h5N>VFa}1N0BoYN;#v9zhi+mpSnXx?nKELB- z+q}R?Uxp4!e9=F>?8O%uq>-F2hSa(>NMfYOQR;q8w$i=q>O7i;7L~7w z>6V|DcxheyqT@05-+@|*lBKc0jm2b(#X%%A&!?_ND9m7X5p@xaWj8UPSXuSpAVM7u z7NDWjhMqdy(bCfLwoj)W96K9we^%TY;rg4Rf8dOvdljM9awhDeTx`AtjP52tMVIJb%A z9pj#7OZHn^x+#0j;&h#IvtkD7B_EzC{djJ`7v$J1?uRL0o%XDI{N>i+p2eLtlmBVO z2)SNpD>ubfV+vX+$g4(by%=)+Y}+t%eoqPrN=zIlvRKso9PQYtFP@h3J&n#3V;hO- z{95zF!r)F9_Xw}%H1tVoRFtQ}(r>k=u){Fvq2iCRJr#U<(hSaKPggrWA5D(T6@N~_ zsPo#^(M10d&Y|#6x;eA>typ~HEu1Cn*spAwNs?dP{ z=K&#k@2LKqKbBMu+ja3tHnoNBTn#8BZbC~bg46vJEov?Yx-C))Znq(GK!A-h_Vg^% zOg^bDu%5}dRkEn?JAYV!xHMTM`}t!1rt#XOevu@JpB9zQHEOr*Ul(QZI_sm8Dm4qV z+qyHuyhPi&hTrsH0(RC9mjJJU&(ehrN?|ltHe#>m>nQ6MPpbbZ8!FH^pE9C0v29~~ zQu$bv#DrK26JH(ZhECr#EMJJEUQ4OQ+MF2Hs*%?||3h8xZ;u3F>Ndy!#()XhWB zKN*ym@3di|+2Ggj6{VE!x#LtiWjJumWl6=dXvxg$j5{38pdxt6a9<7|x0&`gNyrUC zm*XmfV7f54M_f)>)tWW_Tva)?y$Wg*E!ZTjNQL;!+WL}Y?+^cb8XV|EX9wEO&RB!e@SJO zGp;Ph!*NP6#!S6JqX{&~l@ZttQFmk|SsHe|Ru27C+<1wlI}E}Q__W@VYsOD3$GV@p z0w9G_&wj86otSorB#qI)#jctLVynV+T zy`!&ozrSfEzL8wgzv+@RC^^~JSw=e9rBlC&Rl9rK8hihAVJ)Tb!DOE@r8BlUrZc;i zxwkM0S*a_4Lp6pDKrh7x^?;H9=f+YJcXuCEieB108|U;iG+HDn<@*B&X(@?cwrILk zsCR&>A}sayOTjmLe^B`^BK!LFQM?AbH}xXfh39VHFNw{-Mscb)WVR2PFV}YoRa?;{Gng8QSE7_3 z{CpcDF6MDBTVRuz6BR-3(_Y^<=NA4dAKoB*c^yt~2$_fhwkYMA-I9Sk6!1T@z4rS^|ZTe-Y6Fz^qtCK#g$lUxaB&3vz z&F$iawq!ODlUovi{le;YO1`EZ?JhY_ln?Y7WgMPfxC&212Nex=dW+~>d~cOiITard zy}pEZr+rRFdcC7Q)d0V4;pkN%Wg$77s|q<=_fD$q>|dDO91WF zF{qkrEF5~d^UF(nCodYfv}8Sx^wqg=dq;$5#Ut zk`Y@oGxv1PyQV&FmN&#he;mQCe>j~;xrolmw2Z0SB`=pPtJ-N20-UP6k&AoUUj2Nh z#|0^m3Fv79dxJ8bn3teMdGwk+sxh(tAsqMB6KmES4x^w_0IW9?c~ z94}v`!w?Wc!v+UWG_YtXOT9xE!Z2+Pk2s`YhVynSWA>1}f?` z{-{XJQR=~{SC3G^UiHSgD%E&>RO5{@Y;kM1`b5w}yfh7@)Ja<`d7I@@ov8y`%EXu? z`fE3|p$IX&au^&>p|P@mxWTlKssDm5GlJ0D9K~52Trdc(_LO6!Ar}b+BYS^qXw!0g z5k-U`X{Kp!&*CdoQHV-J?b~&0bBDrjvV$+Se#1AR)MR$B?=Gq1?mZa@514beh7pvIXPVK3WEY<^m#_7$EclOg#4>EYelr)q)GslE) zm8<{IVr&J+&aTc=-x^Sa%YDw=d}YsW=O)e%TIgW&;p9UGj_u;P#RG=<4fI%1rj~M$ za@hUTr$An2l~S!2k8zar&Xi%+wM*sEKwOROs-GT%g^{jf<>S?-`w9D>0t;z??D?j} zr|iHNns+VaSl_%j^LY8+sl4uDZ_j(`&TC_&!4To-%Am&$!Mmgpml z`_hlu&dj~NHV7~U&Q6V|23GloQ$pP8)9;Xwe0=_Zjnm)XT}C!`Q~Yf)UhV$2|Uf!+~r6`$GR$30$C@Kib*fAuVcS;@nxj4cFz?KfsI z?NE{A^D>(4k7wpg&VsMkIg-~teXB;`q))twJN%tu<^+W=?j1?yQ*54DdwlHE`&dvx z)|9s`{`sy-eqwRDQTzmb4$&G)X+GY~ zQv{XR;_;}|MH46GQv_F)Rby`=4?4f5m#6m45 zeU#EU+hWY2P-z)(==|l$7l+4t8_pSgV{?7beid2>5;|XV=WwW7pt-y86O3e2%d6hT zyMgGEQO7)mLM)P`kudM6XgISZ4Q&l>VD>NR6L#NRo2YSiwx}`bOQ|a8<6nasQiJR6 zVwGtVh(*0WDiCSVfoLxcoL~k7XdU&T#pem4ZWWM$NT-6z!Q6UDAE<%tG+Z29Xh$Y< zh5h_1d9+s`a@-%zUtR}^P&AP6qe!&>oGk9RFL;hX9Hnk@jKnT#-2fF$QqfRtenZ_W*ru=>XZi$H?o@Ut!31AGe?7@tWg#z1|`uESy5|=UQ$q zV@4%V%iUKn{^oX5Pdif4Y(NKa7m~V%@3j86koBlUO{mPe&st;Wm&`GetWGp|ZH#g8J&L16p8F2e$b5{C$#8Wx4V1 zVq}33EAV{}~ngNA6HR-NsSzp-%J1PwRMp#q&g$mzEuKNKn`nBR~W z2$Y&FOn<=xP|%x);qymm#4l|w{gp-=*=_*Mqb;O{_c|it*7-Ev`Rgpf1xC<5L!>Y2 zLE!1iXy3danbqCcuD#O~Se7yvQ$e;COcKC)Aqu#^(@&w3*puctei!q{D>3!H7-DM=a^#+f8Xc1JjW{}+NeO@eTdH(N;S!Ai@liE0^ks&ob>q8YqzUL4?m< z4jWlmg#1lSuBsHQn$h@tunURmh)7aU>-;U@h4Npm2KU3M@*DMwvEGaG{_mPBquf>c zjx~EjFOEt?PB>Qg+{U>P=}3gyzYQ8vY`{NXf-!9YWL)K2P|X+NQ4r5Py^aXY*^;vy zxSP3klrtxG&B08}wo7{8*Qx*e8bjeV4zD>P%6oRhTF#FSUuF;>yTW_l#CvG} z@ZkapeWF!g*29GZnufV%N1-b?H!z~!)w78G|5k=5yPqg`FRT|NWci8FTDD<(cm^ST zr)VJ|AzM)INU%>g;X}=U^#T4_K1k(!R!R=3I~bV#N}4A08sF0F$0}j z4f7sI&~n5+bNT;Jh{(hHzi;Oqyd86-t6Il;tkkse_ksR7TWbeUOQGSY`(Gmgq;BtN z(B_QAGk4x78{Pqt zfSVCXwGyMQm?vYWAiIEr%p9Y+^apEm9ymLcf*I+j2((Tk&ZQobhIZo)rKBip5IaMp z7_V#vsnxzkim3jA6-wDisjvhDc3~`k>U5C@Mqlazpn|h7y*# zEAb$GFi-8wb)=dLn$0tQWJpUnk;MV>4*eF4Z>TX)U<#KmpzJUURseIl^I^d}0!E|`FNiisk`0^ps8;e4 z*%8nlv7LCw8gvh_9Q7Axzp47H0_N8L-voU$=p+S#K2*~Jo6n%Tlpbj*_0uc8emXnC z5ZmPes%=+_<5e~y)!w6*fi7|g9J#&9ukLx(BcS;>D@MC5N1h+Whpcl~#<2ZPijX^U zSzM}IP75ZIWk5>;`8JD*YQoo06I*zX`oBwCF%0)A6ayEq6kIODF_{1v8|(8$>q<}o zbb;SIZqC#4zzLL2Y!L$s@^#&3m&!T3n{;np?V8})CIRzf?_GeLtA;-^4Gu}}4t6z= zx(!IX)}C4Eyn|?L{?#SxNIk`Z1WVTsL`auhdNz@llwK5(TvAQb?(0Bw)R*cHLQDkH z=XO~tr!U`qAzuTXMOD9%C1ncx^PeTP`W+BdSz%wAdvo_lP}7`_jxHvRO#g#h8%Ijf zGSy<0T;=%N_U}4nj+IZ& zR}C%i?kEp2i?4fb6u&Jl9_cUJtgc?&)EqARTF1=&vIs~08Pmtt4l9z^u~s_%RBarf z-m^Wyj*@MXZ9j3Pq_Q^d{pIc_wJC5=w^VDgw>si9(XW&g z5%Z*WdrC}Z{Sjh9C3!khqJ|4}sND0sFV5xa>#c--IIa!#S6EM#j!8)L|JpUJ_7L8= z!}C?;wtA0|1`*US=jOsiFutugWTug&CC77^$XoC&H2PpV2i$X9nFrO^B{;tSsHh;) zQ7@U*a%z6gz`V^3H2>zukQ-)v_;4E1V%4wKlU}}jNp3z+V$w%*;Xy5npO%*Ah*t?c8l? z-8+7b08bVGk7i(cH^yjt+6Qk3KDcYH1f{XMY)un7>y0Q-r4xXMLG%Q6a2S( z;V2&?4Z*E%S3E!>`9H4}tooPSx>il-aJDX~vA3hW9ccO6ifgI5Z`f0-dfmW!_{V>r zH1iCjF928#P7k-c6Sy93Zo|!-&VbFw$A>kjp-6z92<&xLqB{43#nausCGaw>y!yob zr}y0AIZbcN#4ug@2q#8xr=8}DnKbeD^=EKsDe8|F6GyhjCz8clQ}A&yE?v8N`Re6M z=kVg~;mfTl&<`XKtL1dZpWN;mT=h=|IFZ(N*dtLtO9|kl(klFY{cV3=e?&XqsBuYa zIia|zowp-?)kNJUaa<~4!B(N$j)T|RCCF{XUhd?41-`rO zX4TRT$O06@HL=*6-1S8&6@u-vl=i=K1T>CbY1(Z*O!u;pXeiE>egbgN^D2Cx(RDLI$m*K_J^ zFdVjBz5Hgx$;!%VY{S6%C+Ytz(2v}kLt1TG0Yj`Nz2up)@wZP5$XRvKK(g&E)5CiI zI`F8wlLd%hBi-VmWIRLW%1TPN$G>K02iDl%r@;CF^z8ni|r z?w92YN4fPsiBqS3eZnWW0Xq4gsU3s)7w6|oO&e}Q2Df&gc>rYyPpY z8_`#38#IWG|C1)-8e%&R!K4+AS}sdw@E&f#X_QoT|NF4{rT3FO zX5JAOyKL+4?CczZD>AnlF{D{(Lyh<=H_y%;VRf<=g!$9Ndb3t`j@nIr6{_BOvj;(1 z;K8IjUNh@=&QLHhs1$IzNr5h4zrGX_g8N*hwU{X2R$^$?U5kfk2Ep4ijY5{Un1d8!}8czvgS7YuI>s_7Vk;xJkWg+O^vBqX2y38<#6 z4-At`!@n*J`uCXQ`190S4Z&0vns z9u-y-ua~jJ9c1AN?x1H-K-#Io!^?EOohBUlkR9E={~wc3_Mb&b91^C_&FKV1vZ$Z0 zMjb{aBz`3Q$1tH}ssr3D8>iRT*DFz6a>0*Qu5rfQ$;-}`+TVg`{)aD;lDPRdKOr_Q z$^Yg(;$?pP_;J#l$LiO$@6-11ZDYuu`cEz(pgaQj z)eUF+&Bb|@GvClSjJpFYfAb$u=6hS5?lr82 zpK`AiNfh~_{e25#Pk+!9g8gya(?WSZvN zsGFke=>Pj${pz@!*bUon3LnkmPr?I?VbXXzVYO7)d}9uxlGeHHmNE*sBU@Wr5v@~1 z-+O*>vHU49tixw0cl^%+4#oZPH-R@un0Gi(tWMIi{A|w!aAONgyBN_>UB$*3aP!|I^7UsX)CDP9}}7oq8;yer=#bTq<&${Wb$5>#Gq5bO< zcZ7?aw+Gy!QJSEjRuY9(*oN&u&kRzTO*1yX=H9(~H$Oj*2L3MI7R1213C0hq8N_Nn z*j!!%5mfV`Iat|!MCC3ZCogXvMddB)$m1)CJd&RW(C{Y^Q@h%qj!B>D!45a*a}^ca zZgPPllhe z1#6HPE_@uI%PI*|r+mlD=~W9cFTl+x8iuIKB-In#a1Ql)559$k1-Sm8?YB+OpP~&c zR5RpAZm)Wai=$gNoN*&JMZ@V1;!^}z-R zE%v4MwS|&p=Kxs@*UsL4Ww?L}-21DB-vK zvVjw|2x{jG5V>Wk6=>TQyeKxr`dxp*4EFeQWhF^7>+-KEjwgP&GoPd6XW>Koi>?#x z?U`mgk$H%rr@`gOEG~`&Z^-S>a^s9YRWJAteIFnDka~J>tqZe)mry zBP~!-S0@p$e&T?>qh)}3bJ$oxp~Bqa!#89j!g3P5hV8ivvy4?8XFq@bwE3whaVt=) zy|;G}HUetFZo`SNY0TU|JzO{e8u4#|Gl(oTvOnP*T*L4|j61AcQZRFMz!f|}n~L8n z&|TLMF*PI4vbOs3YlqX_x9C!$&LHd#F;cp1K`KTBQLu7hCp89FfkF49g>6eINGU1 zHP5hW7sQsC53@V2K0n{`7lF1o9?oNQk=ubbyFEM{_KV$>C>d$#I6iy265}4EOWAD5 zy#^A2aYF7+>q{WwK4(`o`*w4z%)AO*-&OP)8{Te~hSMhG1B`qR0+xeVDHt_p`p3n( zb{hjv`0#F{F6-v@&W>GYR~O>xKqzj=DkUZLYYt)sLwIl9NqkYU z+HP2K14!OQ1EP+Ww%FoGp0N0v&nHgb0 z{qX~&h=TaeIS+i~U--0KiMSCdbRn`oVju`p$FCApe^)^)AuS^VKb#uksC#%qe{O>5 z_4wh*jq8IQLUBr7T-Gb1t+ zGE%mb6;ZMYArzHD_Rfk_MoB_KwxVHvL`h2Wf1f?y`+2_q-*Z3r>*emgi~3yGb)Luh zUdM4w6*rE7zNa;wz~4liGMovn(GE!}kWL)l=8-i(UK~m!fgXz1rDsCBb`9eqZJJ{F zU85mQhe1c4oo(Fq?Tv;AuG|9elpOM2K7IfGeJCKC~rR*oI<{>=+ zi5E%~h~v>3--}>Jnm5JPq_l1Rv5;esOKvdEVn3nm2NkkV<*mQCqy7@TSj#W^4wzYt z+Um=3+A=hW&0SO01;)i!aNri0-y;1fxObm`#7Vt5^Yvp>V+gg6p{4bOsy%ZC|2$Rmsk77ZpGzK^tgGU|b($T<*vYxL7Z`;g0Y8 zajXGOQ-elvE%LX6ZLXuzH~2(q)ZKuMyo_Np_`I`7Ie!C>iAhXMe7)%XrRK*1T%^f^ zes9!wJS&H0*vy}3s)$EP#m>%tb<6%(-yegCYTN5Zo<&&aTKfW0Iu1R$i83_eQ9Vid zA-DW<6G1UkqhQ_p>^pbj=+(rhBRQ1XcM7E+=iyG7!8 zHgZ{`vY29H1S;}SZ9Fg|PtK#*l$4`5BO_Rat;XNrJ-*M-9ITwU$E@;mk^|$fADgv^ z8lWIHx=aXUu}D#P>RGUkeL$ln4<6w3%QJl#izTtOUKFy~fLn(a(e;W=1bi3gaZo$o z!zVv;=fc{{hkSpLfx`~#czf298de=+*iD^0^Z<65JWzCm_LXKO1PUjEFRf^(lyw*2do|;fKP$ZjPJ0xgsyaIxUdHbx zvXvJK8oQ{4e9aO$W_A};@+M3*H#J#8o0^;Kj+WG;FO7u&R{e6h1-0~U;o1^q6LYX`CYm5)X7f55kwUG-d%~jNiRf)~dkR)aox22Dd zk0%#@Jt4u0Z7t#7s$A~+18NVk8a_6~SvTbZ2#KEisD|@Wft%if(pPp7rTIoiQ>t6rPr=OQgA$M^`~$5sBquiw70AM_RnGgjyj$A)geX%d`aN5&<{{T|*#2(|Q)d*1Od?dICQ|`U{)T~g zwJbZ5iwfIF2zo75apRjN4D?_ZJ4M}`D3XctwuY8ZqQ$Xl~JMKMkx4V;_OWekf5k~`c;l?3f89tS( zSyI2o@BzYbTfcrKyiNM!wZkL7zJd+9;%D>>4B}re{=&{K?xze~{MK^I{q1qK;99)u zcR$2p|FOXjcx#ei!Xp{{m=`$Sq*hrn*aOTUEhKLF>y2c?ZFOA)t=?c}pv1D#XG zcKqih?Dt3TBB`XeY`k;n&xI)Ikx=i&lXy!pK*D|~4yywc4lTT2Rq*KR5$>c7H>F*9 z;h;qD7uj!ffG@LS$Bqzuh8qyy_Dnx~cz*O8{D8ZYGN_-{s1;i-&eYOPXG)TozU*Yyyx8WuByICX1f}$09q~oIW zw8W;FP0sItzx-t^s0X&~se{@-HqT;Wh+C0uJMZU~re0ru9EArg(#bp{U|=uD53E2RhP%cUK5WFGu+B+4{h<8Dkfh~3u*H3A8*%t^P}W- zaS2cR%%;@h(et@aQsWcM5j$~z0~3>%zkhyPG1is489uA+gXl8nK^bltoq5dE6zIWW0fqtF{&U;um#j|sD5Aink>Q1$kM!_t*L{Pl zbRIR^@;K|!LqE6U#WX6894U55yr^U8Cj~A?nmI9q1G{X)GT2+(DF5bQW z?3!hO_;9mykc5KTk1R?Kv8EoqHV5GU$-CJfcBsS$of|b*UU|6=PZu4EO)bfN6mHVejt~&%nA~v7fo601IuhyKt0r_eMwoyje}1 zZhC$1@P(1E9UQl|dVOu$k(MJ!$_iDR-0}f%30Fs@o`M5gH{lVSsNzfIYLTy8`$)Ju% zLtUMWFX%Zz2Bi`o&o=2f^i6_(IS(vfB8NYN7O;o6q67=)xgN_9QeL}#Y8pQb-|?BY ze05{5{M_0aOE%Y(cJwtVbJJ6$suu;HHk$%lCh(jT6S{;=^ppVRKn6-5QJHLGhOmPw zSL;v`FK{O?ufXYiF7A94;KQ|^HLb{77?;}WPCew;NYF7fT&t8>)HQU$?ge0Q$l5qf zI$dUdNtXLWs&;i;#3r&k_hj9+i=yN-q}QtK5*B?3OWBzB#fRA`kMKc6Pv|-M%TNO_ zETPA?AFNM`?dg<18jy;cN6kCBL1fq2-iVC_XwF>H$;+(a*-pIhVweBz5tQYwZrG?XXniNiP zEh>n=r2-K{u!+thOVH@&hr9RTP9diY{X5DXOe!(V9dC2Gc1dG(0^Dag}639!@DXD&V8+EzQU{Ja}c08aAS5>DH zcao@P!aAvTCXRC)N`)@=a)+x2hu*g=m_W$Y&WYyzzTKa{PuReKUDm@f&dL5u<*H)d zVSs(#n_8zNBC0%3k=4>O4-wqDUkh7mz*!22sna=nO}p%CIJ$I)Hm?t|sy(iIeee&b z{9LP7ejm@{nMrZx(4m%hW>1uTE-hgoh;=N zwPaes?WjR~UH|U2?K>0qHVQO|I_E`q?9;~97$_8>!k>$=t&DkvMMMgl ze(iAoVUX+msMo-uF|==_wrt{gDB7p}cj;x!!1j4I{kj`0I1OnA*Rr#L^ps{OhgSVi zvfsm+B73^HJ*^CzJzyIED_mhMkRCDZ3K&Z?3Y;b-M?*n!?{F1;l|_;**d zfAiLJb@xo-aNp1nPn+dqRs^cwqjeSPLBq2*!34evPp7HX1ZL8&k8y?>^Pr#q&EogT zkosZy4)O4a2%3<3_$hqTw2pe4SI}kq7(JR6WJi@5pg64Cv~}RUy-xK6@~CNTi(DX=wJN+4Jzk9Zm;T9f^hyv*Hg6t48OQ48xjVzD&i3BPkxO zj-Bv=o?c!d9L^B=EZK~ogO8*7<|^?E)>gp(SK0RRCMYHEwO)%G|8)4Q=*5MzQTso$ z!Qic2YgEYseHU9|8^IXcF3zl=dUt90Ao)T8C3p2P(?)i&^q~uB>FL`&zCAdaa;Vzu zpv(KG{*{B%YiS>TiByT+s)g&5kdT04xcR%4okQf~l^k60CvvB+Mpo@DnQqBYY8`i1 z{SrQ}s$vo5k(=G1if!^ig~hiXH>&j+LHW`ms5?h`xq3mY;YTu8Spvb%G|hKxr{`YgZ<0 zq2yTX|Ef-tzp&ca0e^_z259h+qzUhZY#jkYwgj?M;*C+sj4AD$j&%;}8;p!N^+Ad9 z#K7TsvYA9Fuk&G(U+h^qFCiyvgH4rJNo%Opu>gI7K->LToBLtKT>t{KN^8Xm?|?|@ ziC*=um3FPcmPJUe-0>Qrfj)XbC2C6(LRy8D=k*518^Z>e4GkoQzr6BUmD$10d3^HQ zPZU+{fp2BGoBICxnw{xU@ndDH8s6#W_#8}lapuO@_ZwmiCze<_Bcq zRex4S-@8?R%k6}OvGrbBU2NHlevAkG27j1JS$4*zYY)n9)#AEzRI`^;`Yg9g&39Hp zezEt6hcvzCs?BjCqv24W#gO?KQ2!>uKt(t1>O0FkGAuKI@)5Za2D#up$U|Ji;dl*7 z+Xe#zPP6U2@k!wf)ko$`O@9oSbM7$NH&j}BvWbX<{_D2B2iN&b!Z7nwy?MsPywf$# z&~^x`euPZJZ$$m#4Za83X5P}?K|~^)+9ZZ_5y3wp^GDJJ#-7k@fhV>QEef>45(b4! z`@^g>t^G)&@AJZn^|!6d@v#4e+=g{-&DQg;_EvM*3>Z#CB{B-8%}9kr}RYV%$YNdk=ILvc4yyrnB3^Db?TIn1M`XkpUoG$>pn+j_ZLhr7W%B) z)$4oz&CGB;(O?Nmfb{hd#Na*P=$Y1A`-|I_A$AT!{*B&kC=_U$g1Wknh)C8=yE8kQ z$P}@$_B5h}P2BGAsOi9K4L^R=F)>-M)Ycm|&{g2$T)0$W-{KW_gop+tDTuH1s;VSH zJ`vg4hpOFkZi0lnNPrh>T+7uZh`tE{4o-5LfHzmKTtRH`M;E?9sU!i}m8tJ~AqaS% zZoS1W#j&IPI7j}h@8g3c#sw*46A_~(3!gmy@+0o%&EA}jb#b~CO)fAN>sIQ~vUdYqf;-B(`cfvcE$u4)ZIDt3?Ro2^{}Sy1xd`TpRV zanSuSHRXs}ce~^<9bziwX0p6_yZ+ujM&s1M^*DfcuarzL?~$fI(I*Q*+xb&%a7N73 z1XLl*vDfzqIU?vh;-I-_d@cm!k|y698NFj)AG8dgdni42H{kNv8iT2wKrsG6=1GBy$k5|xDq?TDu3Ln*rjQ&LO&%dFP{A|4f|FsU1^=XrBdqiq?r zM`Nnh0a2rY@C$T5QK_u^>G+G@xVv|dgM)QrcK>G}gsUuL6o{UAJ>CWe1_Kkpk#<5u zQ|iH%XD9P3&b96zC6d2{*Q)iYDepijksP=*wHIz#`=0^C3rt~dZSm-_)cQjQoutV% zH=A|yX6pyNR(tEjTL%47mcg@3GCL@mgA9g5>H}7c5I*e=4Utm5;Cq5Y?39`i%|oka z;gw0obT=_-;m%lsEnn-Fe(NfXiQE`0l4k22@Dq_At$)O?LKKmR}Gbm#}QBn}ebohFuQ@o|Jotbe*pzS3h zal^{Z%FgbkM2=TAMfN@ULA$4td%lMV+$u(FSCx1V{1`Z&|N6sRNFF%-2X>Zy>${RNW}EvxMzzIs0^ls}tm^q@JKwLKAUF z9RIRXx!WDA*7eWgyXBSby9C_d{kW5mlCq66C(n+9Bxd;e`M>x5T=K(9+@^cl%9MA& zPCTj6x{ORgsMfZ2@kpW#(?#X|LTd*RlTF{`+@npZ%H4vMnc1TJ0y>{{*iNmE8{&4y z0{GsBhli8za{Tok7G5QyS|9pMy~pntdxznq`vidCboSRPcz&%&j597?fP!Cb##ke~ zgjd%_I4whowZ^^p-Uk606?>bH95`0d_M$-B5HJp6y+pnhxkyUceNo7t3=wqJ&##8@ zpCPg)4zuHh(<$APpCBGM#Gm7)-zI0TDt5oRPYFDWpSVc$!h^b=oh~^<;J6yOG8sBQ zq0Ti6j}cu)U=q2iqsp6=cgOHfrw&fMxlapS2W5Vr=d>x@X^l+n+oatI62o!Fbe)t# zz6*_Ve;9t4{FA~#0BvS*={GPDc{%i7;l}H|zY;HlVS#BAHuq-PpD5!IsHC~(asY|a zdl0@RISh~my$nra;1u(`B#E{^zkkZRHRw65XgXDCx`#ZzJr6%JLcWODEbG;3%ex9= zD;(*#XXfY8^FTEC9ZQE|U7>P+!wqMmUQL`0>&7S>B5*^mhA#_d{2T(NwP&CAkLea{ z-8*j%(ejw6q9!6lM3!E0*L8EhpEi$||M)-~q=w?W3pE7UG{=EThR}lfGi+-UY$R@! zHobhwD=!Jpv*$Bdayfl9T4-Hbu$hE^8hvD+1Vs#fk<3u5ZaIoneoUCF_j+~sY2vwhl zVugVEOYlqTL`%$QY_jIz_e_Vq8|CNMTY?>F>^OzXHM1l`+8;(xn#QuD|=>kslTOVKKIxgTl z7l@<}t#B7ih04kskn$SKs-b%mAn89=8cskA!e!TY{7q3|-IE{)F%XJ`B7g;+b?wcQ zfG9|e2dOI2zwr)2Hj&9BX$O$8M+kI&@7on#hdky(c-kWwjpS_p5hzR|VIy0=U|o=) zB8mRy8Wm<#RaKeWT|*+_4?3I9!DQb)_zrg`1(MztzC{HXf5Nani1-Wb;`y};hv4=KXy0PXjY%$OQf!x22U(=tu#OtWlKC6N0qnj9 zlLj~pM?O{Sfp4z{hgjGSc!`pPCl>vCL@Xm%{_N9=gE>e%J0ciG$^G%tFPmkrK&+DF zT(RlC!j#>2>CZ*@q1ftHpcbR45qm~pw1%Eo%8}@tU&bOE#uc1Fk=NJPw>ZvPi-8Ms)i_!{czr#2cnq;mi-3jwAijg0CpLIAPNC%_rmugp_tMmE4jSK?hz3k zl{Iny`Oig=x?!Ie^;6s?I>Q1s%7g;(#K1((ZfZM9-TntKI3*^gmK=;^m!L*Apw8g< zul;mR7y8uu+JOByucasR9-OTnB&C9cVdUNTJIppm-GHtM|5r2R&~4OCOF;O(vfT)F z?~*$SiH*qOML6z>2f`|3EU&Ikla$e(t+!+2p#=+V>|Jf?;lRN=e5&vbNR(r4yaQ!S zl04y(62|I5Z5$=ARQRMJp6MBK7V}_qkPUjt$kibQMXX~zbMvTzN#w|pe3Dm*o^6XWn^S(HQJzv{;M~@*S-aO{GY5K$p0He<5l6svmu>GG`bR}LAxMi ztd5@W)G8JGSJo`m%o{bR7g7&8V!$a?jIPrKDgLDgOBW#`Q?mDj8}ce!{_iAW`<||X zDCgs>0D4CQ%3dNF@bK3}E-acgse1AxZ+NipXv_h2fBygcL^^b&jv4Qo{F1`M8~3Nz z=M{Lv&6+`OiII9WBv=u0)WU?yK(YXmHYyy+ya*M?WHD&l$)bwqKJzo*(eIuHl8Z)$#sj^xkc7-!`J1_nE4t?YbiFPDASA_v- zmm2=xQPwU&nmpu@&O>4Q@a?CSf79^UyLKj~)xaoMYPrKx;ZtrpFhjL5BtT=&!*nF{ z|3@CzSg?sYh6B%@yO_irkV zOlLAqx%6j0m06YBFz%rGf;(w%L^WAMG?t^~oOs;F&>rxg2axKt{q|Fnhv)dQTkJct zRKDbhH;lW9AxRP`28kSL|{dm`8CjAf&?_g~M1B&>Ju z+s9;k{2Gqob=?av`+hutYLG>AOt5=mO3UUFIM}TK-#pI#%0)%XhAw3Od#e z(ls#LeGoO^Z?`3oo7jK<7bbBV8$O*|K_Y5Iycg&XskbElACV8KraWXvZ+n{mm*-J` zXKG`W=a*Ih5z=n2hI}a$0&5&qTL9{dB`4qJli-nMZ;1_2XJJ6Y-o$N0rvy8%P$0d} zzXQ|d_ly&4%AQA&k=oeW&&IS_?zelmZ}P<6{|e2Z^!YGZ)-?aRg>Sp;X@o9A&WOc= zx(;heqPGD3Q^c4iJ*N5YwpfXFO8alqk`Km|Lf;W zRCD=@2=xLIf;l5p2>(C8$?x~9Dx~s+Fe?v}Rs|A9 zC6f^YoUq~LNtWRdwy?I$_;xBXa{(JD#Zd}HFa5^US+hZ$`F`}ZO+s%pxKJ>2#_xI{iPOXo#l7>^p zuh$WrFA+zImRpuSW`;X1M2M@mjSpHud96$#No>LIN#kmXVwH_PM^M}Q;%o8oqy$JU>Uu`WQii|`r*P>@=-b8?-boI z2jv*vY(dXEsCGb&4%h+jT{Uc|&z-k`V;po~z ztNnU@g*_a!TRzhd$Evgo&1<}1FO!g`X)@VOK;}%B3GPN>=26Qp;uK>d6c@R`dEC(c z7_8?pY7?9FmWQDwXrUvv-~I>J8ytG1i~c7riwc>1w%}sbs3j~6+3&MBpp;I7Wn$evo6N1BTZO%L3#60ha`Z zSHFepftF-tUE_!6Y-$?giYE^#`|e4MAd&^1OsqL@{Ni`8iO;xyr%|{Uwwax#0h}1N@ zx6F0VCu%Bmxx926(Kr~ClOya+AsKCCRj;&-)(@XO3xiG!oDAzUD=W(ao)qCo=*W2< zy{!$KVZ@O7c!e_;!B6niNVE^DqZU9ltDsNmIc;R zt`|4nS#I~g&oT*jKZMJ}_`%lA`MLLNY2HHwe?Iyx28bHWT;C-L9NJWns7R_6b)a!;t_|B-sAa3<{w(kjWQ6$Ig^0!7fof>>`foR$NS|nmc~cKV z$QTV?R3rnLwuUtXU>oB71w3SuL?h{bd7((B_acuw<94itU2gZB|B1S|Qbjm>VINxiNIEzOQz)wZ? z7VP=_pN4=8+9L|yWNG*4ZQq(M^>=6H9G58K_=mdrE6y&t)ia9NMfWp>|Yhf{4 z9Ysz3d;0X{rmI@u#MsbW(t|)LuyOut{`Mrn-MdfBRrQTT(BJMipM+Ro`_&!wILb-N zll>&let}u;8iGQnb}?>xlZ=X`B`~t|Np0cU6@_Hc{dz zxC2r@tB@vrUVegO3ncBhhJZQJjaQtBt%b*p6>k6tfX;JtC~#2W5Fy zK-_~3o`x>M-o*vXkEth-gobw)?9|9ifzgj2#TSiH(lq|>dnt&1Q>+q}@KmZ9=owaQ zDsOHx=AW5)Ukm>(XftOCnpp1m{jxg*(H78&+2jyKmg|xc1~1siXXbD8iHxsuqe?s_V1ob{*3PI!OH`fj=sadSNn434*E25Fyj)w-fg6I+8t$o2? zG^t~p|FcdHD*to4Z3}?_ec@CW^VF3sy9h>z%nRZ8CmJvb(WAKtS{#vl2~s90ZFFEf zUKpVz1XHM4QI{F559Ux^2mDBtLYlG#pZ6*DxHR|#$uj`!$-x@L?_LArX1fdpjwqP= zkIZs>VF`AW`{ar3(};+4RXXd`o+=~A!r?dcS2f(h+2kBg07*Viid|JIP!AJvKkd6;O(gs!T!s!1Hiq1O`@#x}2l;Li zc!OA*^7gf^wPjb1(r2%1|ZMA0>D~4wdqNBi4bjv z=G2G1!nA`$It$<5y(@Xz^Am2YPW;%DnwE^a)245XLr-Pr#Lj%lRy&!K(~ux@G`Jz4 zJVxz+s4%UWR54Z1$z@50OXd9r`+s|+G?unMe;B3RpTgi=1roSf`Y%Roz5I*O^&FU%3A+^ zR(jXKFdzL@9j4c3`wYZPC97DxcE0e?rF0ba8_bW#X!(`PQv7(77p*FCKaQR`c6?m5 zyG7qqb^E=$+)T;BKTAS!+&rHiQE=L_vw+$nNkBq@E3-p;dum*qrK*8J)n>1;?t>>< z7r6p&rN|b@t6A$6C+ZkCQp)3!;}qPruIZ>XQc60W_(*Q8NNexbK!pl3-L_hhBez2T z*f9qA3L&up?JM`FJ(TY`_=hb0`YiQRmb*{e=~2O4a8t8~)s6Q}ZVWRa#o0QaBCn-T zV!dv!-5ynLe!x}>CB_tfChpR&)@m6^vIwAdgbWVN6ksrfNX;B0qQR^2>KnW|C(*3<}_&(5Jx=skv1eWSQS;Ny{E)QPQ z`P{!`g4@{QL9X-`Nk%H8x})j_p*jt=9e$`vw=Im%9JZvxCwSyf{ijGQ&x!=%^y zO?HkV-xxM*!YxpizIcRdwJsGY>4>HpqQ08D_JBIBv~$`H9ZTBx^g8* zIk-c+Oyp`;y<&XxULKC?n8g4De;J(YQE%ZvTq;4Qc=>>OIVTm7qev?q<}+0`g6NR$ z^lzhWqsaJwfUQVe8JGD#XwPKasO=LgLT~BwaGMLaVsO8|rHO5og7La!#v0Dib6GtU zi;7)i!9n!}BOblIx(pUgRbp2x>7x79qZ$>ue{Z0%RSZ2Hhs7Uk$Iz~2|C?hy$4(2+ z8)HfSa#@xu_TLO2XlJn!$+VL>;kl6YRaJgPN2!%^sDS|weQ-YiA#tsBx17ie!Lym7 z#yVH?N;^rSm@ykDE7WG>oT}tz+?zEULZfmYU;`k$3La36PsCnET4LnB9{UK^R68SmU11wh2LDLCz-nzr@7`wd<SG-&t7$!5X|e#kXS3p&)uIBgRb} z6+1@!o!M5`!w`P&Ayc$_z07(ZP;=n}&L@(8C{V|k{JEwbBz0Aext8Mg-mT}XjFS@Y zT80*G=Juj4rAcmywU*)?1c-4CiHwGK&FA|=tnG=5io&FX!)dthr|q9WLnW1XWb7za{vwHM{?ff zW20k%G-O<^FJKH~Tg|89HtyD3*Yhy2O3ObqL(haOox4AB4O_6XN-)744_N`2}W_zBcV{S?*ahNP28 zUEvAf*moDd(VxQSmaw^>Pwr^eSzZ9W6 zTjEn~wjp;OQ+q03)3^iFalNdsS3%JSNZWp{KB+^2s@k7b8 zHN~&4o-}#_u%krSZ%4Q`Lv*0l%NiaW60N}Kl0 zQ!h0mu4m0VD7i7UglaEt3fypoCqVwi-RFh(*aa8{)B8js9BJCG!A3v=aN?_Q@zZ-YWI&jJ^ZcSg3<~CNB(lINFO}xNo<1W5|_8oBH8U?W12q z#2w53bM>YkYrns|$K9w^-Wb$qvxBeRAO9`ep{x*<>|b;4#o01|HrpHZ8Fwew)`kW- zGipfhzU<8CYbtfNr?2~(U2_R_u=_=YNDFD1uX>^7*XC|I)LvP0>%!-oFdE{?*aT?B zqUd{vr@NXozoL;gaL^f4rWni)Bj7j@KSTBxEk_WToIMZD!v0LS1x8v_>D^*PJ7ufHTk33rc;q8l-&M-EC zjrvuee8zO&hb0SUaSBKpJQFyth5N;ghpzvuZn8UcOvbWBUMf{ejQOeaDrQ<2`NIYu zY46kfJkYFw8(2(Lonv)x>QOPf@JK$pKu&6G?{f+Cs-x1+s^R&uR7T}aNgln-^3k~G2BK&aDZ(@z%yWPbMU84!~)r*7W>(6@QhN*=D0 zYW17NC$yNv-Cl19c(ox?UM*9Plhv73G2Kw9;;gizm#N2w`i9qZygM%kwPd_6?st`O zRGKT-It{o>`R?CH;cli_sM>_qos&yo;ri5(dtM;m7jtQIx*~UaaT>4u1uZr$Dc2qY znNO8thVSi+zGMpAeNbISr@61M;2?FNxFm}Yjp_!meN)m?9^!-7gKCwM?c$5m=;#;* z28(KyLRiXA8~Tz!^o0pB%Luj)&69Fx|L0FIta;($*Qs|dG;?aL zD|z~R?Wf{r6$XqjNxqh`s;S(Z{+VZ@4ov;OevvX`*bi{>9CW{u+*%I_Ag_&$?hT4%$u5gBO@qB zP?};tP-k)MyjE#K`lYy7;iAeNn7c!~D&m5$?X_A>x+@>d>-vN!L*{t0?Dw~|VicmG zG}0TI0-852zxy(ZZsAjC*4c9I1&{joL1&lWw85#n^cU+FR)yssv!r7ALoZQF{jk^h zT#4zaGcx^4rsra0B$GLQTxu^?KM;CE`9P0uOi#{nS;3WB)2dSkKmH!r`{|5qaX)ii zu)29hoP5vI5@u%ps$Zt@a*B7%BFi1>&*PN>S=So^j>zRo8jWmHF4Cm>)Xk$|yi+i5 zz*OP5mWa2z`m(OE|1}le3sfP8`3qZjZc7%HNiBNx{FKjy%PVTm^*^Iq*kEMUeVly{ zKjlMNs`9&tH6X-{)Dy)HM~(*H{{3of^nTX(vN;E@tN206_iUZQ?q)QX8)F;|@ytfy zz1Ypq3=)kA8YGY*(Ub$6$gmfZMXin_gE6439WAZ=l7m8$(mVF8U_<2HjY%;JhqRak zmpBf8JrJA4m@lwn2Va*Ny;a5hXD^-c=D8#s+4Ctl4BlpHtVYjwbE6OS=qY= z3+?{Sw@W@4Y8Bd?@5#>EIC6G>-?PQ`{05bp@dRPYyXf7A>kURS9|;6nD*8FA9sBggabduKEh-J%> zImI`}u8&Rl<%F9V%>1g;H&}O8{G3dz*R@KwtLyqb^qDqHw)Yva?wlxGRV1{pYQl^= z?}3x5#Nzx*2isQZJd46eBXw@!SD~; zmer8zqpx}Jl}ts!R4K`W1Ek2jPEm57;2JK0xz$yMDke)RVHTy%GB5o*_qbF$fa8&OZP!mrpJ zM^Q=W56e+9s&sK#wFAY2?XB*V{e0950y25+u*TJXox7*cN(6ltA>u|)q1H|eP&4Ke z=}@m&8EwjW-+z8KacBdfeQ07^SGCp5+ihWHm}J~AX`sw21vz8VQgA&n@d1ow49L4C z&<_KR3W|8F%=9!{Mv%x2W7a1LR{nB%#TO5=KfI|eGpal~cZ4y`dj0=A&C}m-3edkD ze|PZ2p-YI`rhC2q=sh58kB)=r4NT(o4cnsV*PrO*dU9{2bD~1R@ZGeQ;BmEC?s}WX zg3Ch<<3k0nof!{N4Tq|i$z2g)fqnLl()U0s=Ku=MO1X__^BQ#*~a=7M?)T^{3h z^q5P85O;R~t(L{_-Oy0+4ZfiO*LD(9N5QN_8`)1_xBgT82uGlMa^+KqlhO6<9#7t{ zZ~tVS%y-v+Fyq)T-R!sL=Qh-b^6v%T9cZ&tH;>gU1+UaS#=d>a z-WP4I!){8d1N*rozn(V@~xGrvF<|ep6i3RCRk3Cn)%RE+vN=!2Bj()_0Cmt0cCg%Z2bD* z*3R{LB6;>w-Mhp7jF*MT=_Vdl?$EUV&2X+{i}Vzvg<8vsn7B`OpKnv>&@zphpK(s@ zRypC})mvE;e9q;Dpv#T$9BzXl(N9C7oE6ER2B76IVOR;97&eLMZ3IAH%{d!x+-5j;&S8FhS6!y8&;Bx)gBt9W`aQy zOx1(I{r5|XumnL8t!_~<-q&>Y{w2oUY;S+s_(<4D@MzX6NohGs$_C%F zHZr&<8Go|esG}nJm5%!Txn->*m)k}^5R+Ck_0rgX#@P1RH$@><@ORch@!vdn@dPGE zu#!PrR0qB1NYc+C{)5!>&5p-cYV`kH#~#JTY_z(!s3z&T^UH26t0`@#V%d{Ad~9#y zUTUvXo;tvaxx&loMxv>D6L9~kxReFxpt#Zedda4t!JVw9#Sr5ZjM|MTlKw| zWTgc9w5i(eCS)wa6EOf_=deTjPlnVS^dye;jtesvqK zq*mH+g&{!jWT@6N^CNSh&Ug+n=%V^BCXI~oddlr~4` zq%QYAbkfs*<>4kgyvdF^VQtoI(5~!_C23+xu0bhW@jORz0y-D!@CP%^-))ajSn35c zv~M4QF!eXKhe8xB9NABX=QadyT1E(hw9inX*En@Z=RKKTL-H#a3kDCJ^iSg0x{rCG zC|>(8ERnd1Ld|s)k8dDWaq;n8RW5FutDNbnC6_;*z9AriS+>zvn(w`*W%F9a(YtkX z_47Gf#>4L@VVM#Rw(4dX<;9a{PO-7Z57B!hD{7x!viw-Zu(YMWa$jQs&yE9LL3 zWu(GeYAu(Y_2k>IyU*FBTla&)aT}|qCZ+!SCc%gK**Z~cV7^ofCv7hl3b5!2Z{=IojShsMTMbA|h*S53S`rdr_NR&^;O+aRRweH9 z+iA$Fe)X-UG{qz_+fYW+&asW-*Hzvmg$rfRp7V-48Mm&lX%<(wq_ab=Kd66~#CfH~ zcHDy0llMRFPNesdI&)?7Y*@KN8*bQ42%~Jrj=nuzw>+rrWEg~#Zbo*po3kznms2ad z-J*QVDSzHwMLDKbtJtA=B)6_}p?<6?XmD%Ie&?I4dsG+MeAj?WNj#>0TogQ*kt)cV zwLZbl(uDr4xc-wXz1k|*DfxX(Dc&E@RcYmE)MtVL96!+}-3XpwfhVZHD&RPnRDF?SNVL`yRKlji0w?)9Pnob}FO7*2nd|_}pH) zN|;mYDrrVxIlsEstOBZKo-31wmkYGgUWktPXd+0fxONGqT_(d+bhTii&C! z#>B3;_CbBBS~r!_mm9TZ)7)wYE}U6iFKakpo7~I2)7QwGr2fz-?L_9m-UkWlZc_?A zH_}g=yg%2|W2$#p-G+X!G}XO`c}?|1nuFik+vf&L6E7Y$-iKSJ*-_Wfpj0bbE4D&N zb6=7WUB%tNXxoF7L*5v%UUa%8DgDPcG!RMNTav!5-HM?p_!>x$zL{qs_RS@KY+Jfq zdQ1u>y>Hv_Xk@%w>-l?=tV4HE+&oy{>GhV>cfWUg`c_+-JtN36NqUN|Ld)$)+Jb>z zN({i*rD(_S-HKSElF3*8lEpIHUzzmToiQJfrj?&ld@RvlX2i9B>-7sv8k(T8UBCTB z@2Pb>DZCdNCinW#P}`7_!QDE})2cSt1W#fprZufvk7K*dN}16MeJ#v&7D|o!PsM~* zCb3k!@?R<4Y5PWeryjMQAY>Hu0Gj+Z!GI%~+ZY@A8Uy{Iy=~iw;0!TKry{qDHWb>& zO6w*kgh|m`>gm#HSBKX-^D(#61UfDRw09je^@z{gu+BO2&6wNMQ;gbl`C_(uX*A4` zC}bv%n#EOVwp3KN?c80jK582Ac(BA(mQpg3X8SkK8)GsgZ?)MF%Xt@+dc98?Q)@j_ zDaTqkI~j8(Khu>*|9Bu(tQjXPYYz|3ieqh6Q>)F3 zI*&V7@(M`1(HitFW?E!ENKcc;$nNme&J(T$^CK1Wvu2lu%DA3l_C0A-CQ%F$TEW;E z+mgZlT!Ra7#s?e3X4lqTHww`)AY@0wd~I!!!s+0EJr}la@d!$~94wO6kro#s=#oC< z_SB3?JHu|6*50-%4E9B7E}g(Fj@`e8_}jGLUEG%%uvn=vAtrH>S6u;zTSh-mhnVs) z;(9CD_d14|8T0oQ+=nivy}fqjQdqf0S+JppX2xyXgDgX$&ps(!;o<7ITHs}(p(k(P z9^SlC->d$V_k;*rytCM?&g89G@&jslMW?R~52Ot;R;$T)fB*6>1v!(rxVQiyRsR>m zXURiE*V@&N@vF3k?){Ws??|W${ezf5dx2aqC2OW)q3jQ}{-U^IQj}blp6PUEx>!Rw z<2FF2E5p=D&i4e5l)kP$-JrED?~_O0i&^QJb?!NjcoLS6wT`&k2$`LHPJS^t5p2g% zd0X-?3D}jrzT~t63yTELfOb4KzH{c0`%) z?W1u6SJ!*jh$wOC4z^|S{JE#Pz`p1z?=M(L*VW(}o%@d45dfkh93XEbi*qwG9+c7>P zasIO=l+#x%My4y|G4+B>8v+;qJI_f&oM^8k3r)y7=9HpikaW9~L8r)jq5X?Y+ATWw z=?GLGG8}8)nbwB!>*8k)dtB$QI1qID%K1^#A^C>XH=Mk(9qOv>xv~W&|-7jf0^L<3|@d@)+C3H5|^@Bw<D z?>s-5d{i|38>NJjH)N`SyH%1zUt3h0V6`ndye6>jiOTCfUGtorH-$cui}S5E?}jc+ z^~)yuRd>G2*$oR@f9n1l&H||%2P6;Vnbv%ft;-UQ?pIiz?)`YCnp#;iXNf_PA?~-M zQBBopt#RsQ!_-gzYwLC`FfBUYu&qu&hR#GIRcb1(rdT9NgmEv2DObs!^Jl8(ELL(VEoNtW&+3j>;O zM)5^810hoMJoImh`&lmftBH@ZylvNF>JWcT7m&|yeo?`9w1k*K9zxGjkt@(urfLos zP~Ff`w=MkryPIcUp6zXViPz!S+xJ=gBab!)bub9aPZ#BSiA{ktq1akV>d1?d+oxaO z#<|=0j|RJ(OP+DB-EY=`o`XJm3X z6wZq@QEqB~S0#Nue|zm7v7M*e9;i9atDxrRbMG#0vID{YI}9HK#r#uuZo#-TGT>pj z8|N>w>pRfUhd5ohPb7HGzcLnij0|OWk{0o&X_w>3Yn6UlN2%{e{0Lqz0V_&OEKmSg^at>>8^K395pV$E$W?}JNc&ICQ<;Ltpc z!@Rgv_OhkaG=Foq^JUy<*aG85J_T#};F(=MJ6s%ZjNzv9GyQmiSha1EPYpHo=lq&E zMO#U8vRL{^i#7hj!hH$T65I63095Z?m-^cA;jJjazt+t>+t@NEd#;TSJ2QU7J0s&l ztx+w}m=|n_;Xl$W$Z!&YUV29Gp3BF}QN`+AS3~OKhUcZ$(PkG?ZMhy?`;Vp6+#$_! zlV{*ZJ!K(Zm3I5g;$%qw__q57r}(IgT zm0lq#PX%#asdv0k4!87Oj-@IZb9Omo1$`gM8Jvu$f&MjF&GF*~C;)mYCzkZW*uSmUVUek@DVoT?dyI>@euR?r8Y;@)AGl+jwQ)f7jO` zgQ15Hn~$mN7n^_2EdTJvCwmjOxJC^rGtDwT+kjI}QTaoMFAyf?{v>A=LZ zc|7V>ClYug=4SZEk`p>-)r}=n-W-lUf8y|!9OXkpX7|tV=ZQzvcSU80zl@3EVyj%U zKzwB8+Q)wTz$NnErWC_ecMA^W^7g;=YPG@W+sU-TFs_R;V(XD{JcysWLVcxdsJcVj zDGT4or)}>7P4o9lPIxSAvQ7|KF8%UbOGULq)JlP%_A^QqIS#77@!(MVgtPm-`t^OM zT#Pw>gDmg*+}stDX-R(SZ>#~3Y#C(m8*6^j&4_T=;{~HRC7*_upZPg$P&ow9Q@c9Jy$l<7ud$f*X#?@H-ti@+8EBpDOHgwD#U+}*FRMHNtc#)f z=_mBpwQu*lD{Pwh`%e7{i?51Tv(ocB7+F)+8;3*~D>o%L!smkgU$_nIC zgM_hLr{-WV0y4`T%IRNfFaAa(Q-q?PB{Pd1{cMa&zPp!z`Ag8+1^r4`XLH}MT&5B> z$3g(ogaY?9bQiBl{CI@(RF37AC07#JtDxBY%i)1htQXTKl$ zykAzUeNOS743of^@RqXzX%21ASJpjtO*cI28w1wYK$ccIerZ7Yiv1&aB+Sa`o+alj zuawo*1a0BkxV3|;BC;uQ_ah<32b-NIJO))~JLS)XvyTw=c#u?ApArlEwb8f>wZ$o- zW2vo2 zcc%&{UKs%Z@d3iI&>8p)0U!+^6Sp^La{_q1%mF@h%e%Y+6qm`Obm`kycfP|BtQLe z8qG$GCx5`_5vbLJNa~=5MSM;vDWYd1uUUPr_))wNdZ#jIf6X?8z7NT1Yhh_^g zOv4*j)l0e{JEW;$ni$43I9R(hbxMMhC^1t`b%;Yx|2+wX0R#o7`BqR+8LUD|NueKZ zP2TlyvaW1qrnf|~Ydg3H#xM6QT@WCc!{Y?TY)t&&pKE~5EVH*`bYomR z34a9!etiBRZMP0zB1hLe^CQ7~mDA6(E}h)L-WW5DbKjm~bImjIJTunH$?}>?^4;!@ zdAw%M5oJl9;|tOh)s+@5ZcFJq*2(IVWOt`+PvIQzoyPick;e=azL(170pR=-#t%{+ zsF%}Du!qMRX-3zsFp+%Fogy=7YL*>m`_~iYLA_OpQvDjC+8NrrR?m>SG-rjnJgWK= zM*wB45S^{ApV5|lzPQgXkY(nfRSDG@TH+bG{Jc{$Q`%z1rz`%hhG8AszG=~3;mtuf zyS}Wy6M|PMCzvpI^q1e7eH%T%*71v4;MaHf+|JvLo?H6w^A3snHVWy813l(O#?DVx zXM&=lv!W6_Br}xu3^hD}ForE&hB$<6TI``c=BL;J4R&IX%$m1F`o+MQU89!H=8L~4 zbIOST0P|;>;-}HD>^3L;^p2BB(5tEJz^WU`^y{_52}P7%H5n8TTpQQM&-sXp`I zVad{xG}TuYmvO=?gQ{Za6h%S!&oOPBe8z}&F(^}64iMQrONf& zQ&;2+N^^6p3^q3Eo7?Wb%PA&MJ=c0oo{Du$xDSWa@4h8DLKkPKXdHB(6qd<5k!o~u zW^szTirSsz32U$*Y(L#%Ie4&+4c&HB+dI@&UoQPU5V9m(t@zpz=jn2a@-AoOqo37F zYk~WRlD%Hz4>b0way*-dGa3cC!{a+` z>~zM^&;|gv7!!a?l{?&Cq<$*8L8{~J#XrBcOS-FL(w)=*Aq+$0S5&-Zn6@U~5c$uD zhFHkB4z{o@7H)e!>;CpFiP7QhC(%FLxL`3UgP~dUI zU0HYRZcSh0p4EvOhs+l?Rhcb{S6@_FQgY&I6I1A=(-1fNmw`Qx&a{Aa3?2yxq1TS2 zy%@^4*=-BzvCN&K(b!lZL#9C_V$YxLi_rN3`6QF`;|sEo)+KBcfU!@P0%V0VGfzRez+ISa9_BG zz|%k#>ORoNc>DG!X!s59BfQB?1)s+%<-aj(_#GPPEQBYMMzc{ZJ7%09TM~--e@`d{ ze8HZxgLA3mfT$1J98=D!?CKa4`$I;MgA+)&NIUu})Vl)URJ9pYF=(%}M2)}JxWlsR zYli9cgT-~iOSIP2TQNgZ`~;M_rI%i8*)F5XEj<%0i)Gh3QxZJa&Xr!uR)0->|Jz)f zvT6D8hUv^G&BaR(YSgi93^wyqRvk?{il!H6)v6&8@7%o%fQf})YD>OvE&#Z=5v|_v zeOF{u=f^4r-)2Y#*0@+pR`WBvADXV8zqI{~<-e>>JmqHy{t;)t8f_~*Q)T)r1fQBGP+`N{ zEhr590#z|7i$54bjm5@uhq}M0=$6JXNVbqfNaD7k+`K>cq68UwN8}8{7Hk$qt7es7 z)2&yZw`|v_QwwAZ@r!?aMETR>4Sv)7E}zgf%TpQJmR%axX(!lXNfddDKlUv?eT*O4 z)*%u1uv1Lse3o-I{+@%g0>?&u^6O}O6U$6RZ!qR+cn?PPdre7XNua3g(SXCu#*`WvTqbxAhW zUgnmW?%K;(x5>k;E&WaQSy2EdCp+46zcSza$?CiAqZ5A0K{i@bVr|$ZbG_6KMvuTw zeN4*Hbf4ndA8n7uS~I2p-an=L#5M()$usgCraP3DG`*Z?H_>GH_p!x%d-zM$$+84% zSQmm2EMQeZs_RLy6A8%+yF-d5UALS}Gcn2;%_zAE5nBj<&31Gnt&%H0y zneyw${ysbR`UmeacF(KIy~}tQ7!!)_tAe_`Ulg*o2NBEqgbeir05zsW?VQ`jvC=vg z^Cto2ABwDXP{X1LaL|V%_L|u&b#H%lS?e?jZnnOgrI&s>tf?PrkzFM8TdCti3L`pj zcK*(?Wetx<%hrd<^%_54=ZxWs;74`QngSj_-%H&oi2q4JXC)epODnHAqMo;cU_7q+FIoDDA>jDQMPo<4KW zb>}VJU)>Ne_p`zXT$frF56D?7Wvm~jq}%}gs17H1+wk#bM+lzGErLMoHCP>GShbCB zrV+|(%Tt-Z&MIeqh;y-~OI=72A5$L#rPye$95C4{XknoFQe&=^+MXhlJPc zatI3ZvA!=jmvgSDH+!iVLv3FETwPIlU3ndj2DQKxYliG54`h>`YfLQT^~a~pH~1nU zCeorkmm@!^ec$B;Ns&QGvM(#`Qf(rSinlS|?;m;`Y<9W)seS*+3~QaX-tfusme9$) z{T&%WvHSwBYh%7;uK%(2-MTOGEu4R6MuWPty1s3RwA%rWeBM5I!7g1w@bizwr`LZg zNMu`oA>a6OZ-A2?Ae_ZToeXtRGRaFa;Wt;i=`^Q zZG7gwh`8lhKgU0HoMNKFeV)~vq#tt7y%p}GVKM76{^b2kU~XFYBx_fY`K9^?n2r*B zSzXkfra5%Ivm&KyULP7Z>apxg&d3irRO`ge_0(`!oFBEQiCwjFO}+VU3AU1jV%Pfm zL__KWPHS#vTYUWBdim1g`|Y`d^=sj5*l*A|yHw6PHsYZ2`sIvn?L{-h*ygFpe7qI1 zBbNKD$KFd#dz9BjJ1tR1nVQV21>6IDFxT@-)bqw-*X|knw0e)iVYc z&|$=fd1CGQ+Gs=7Y{O=F3+O*lV_}mN`7qN*pU=%-=b+98}=M zZY=YBYdJeU{vG@2_r|h)Z#D#OKeB#-U$UUti4$*%mEY*fZ`9jv(2@IuRncyF-CA$# zoZ|O^O!Kue^?Su0p1kusiQjBF=cAwlTfN8l(+;mDW%hO6 zBCYC!E?6}{j*ES20!CSieR%UZE6=okY^vDVVf|)kI7}EFGt6whgrwPuh!@7X&I-I7 za($~wh3I9AMCr_ggoKk!`0=P^fwbB@FeZ@k2lLY{PHXm$pHtvnb8}D0PaB&-`FT%P zR!@o^3V)lqVQ#3p{6wy(L)#i=H#Xwz>(moKnggfNAWvI4t5c?1qBhRz7m!{m_rdr^ zudU&NG2ePLfh`#vHF}9%VsvBdT z#VozL)ls@j-si25yWeFr_)&moS64%j^{<6iJKyanEpG`&i*ZfilK1D9OFx$Q;wD-w zrYdaQds$Z7;eCE}jJV~&WpnLTMh-V|VMgRU8!f5V>$U|(dw=U3C{vMi(0$BO&Nj3o zWHRQ@@7HDireELPoIh{z>E>fdAPA~=3%-hWNSO7zlmv%Yj`c|qHC}sv_>Gdwja4M< zYsi#Wt%lWR-pxJySwl`Tiu`%QUmTBz^!+vvZMJ4MXYF~q@$;_E3xgVd-5Ic7)*hBbw;4uS<&1_fS3d^*O zDgs4WqVs*T+RIldi|4Fx-nsDb5>y~E!g3!>ZUDFI&N_KVpzH&ypU~uz_c;u;XU?gN7)9GFq4ROufP)N?UyjNSD0^- zl`mUjRc)f#{dNG?Cl&S>A6@7g0PdzxkcRiSbqh8FC%$~cBBTl!61SV(?8_H5 z3t8uvZY|q{lx>V|cp0E#JP;lHH=FijVMrAoa5iS#FsIEjzziY1*~k6&{_ISD<7QB1 zd3Kd@8()?0w@g`RW?wsXal>IPzGuGI#+Vnk`G##T-B^(M{m#CxIj?F?Efy3MYH`|X z62{5NdE{9;qu&4cRa?E_rPW2B6kOx{E@MyqN#BSzv(^l?`jQM`;rbG>=qIUhbEUOZ zGyq*JQ7L8=Ewialt7Eq}y?F7LjC7URHlsho!B?Vojcfe8x9H~lul@J-w=stOZcX;) z%2Za|e0NRh-44xivjOLk$;j&moR6yw?H;@U0`O-Hn~LAJVO?0gy}r8T?Alm^vaXa9 z9n<%!Vd!lY7V;O>XMdKwvT%z0I&i!DdDosl4E|4wXM~I!yV|k_?hce#ANce9fSa2@ z_Mk$CvgBI1R!v`yBWH#m;8~sDuJopUMrJz`>u^%V7!n+#rOh0<&l{VsvFN0-W^Kqwv$`u z5;W`9@BOuCTwz%2?c29aeFv^KL^SiV&4MTqa*Ndqe1LfN8jL@a&n$mgS-IcrkH{mz zxoz@~`fDnlTr7~*m#l0bR2)=Y6en0$6_OBtIX)|LasC1xP`6)PXEc2-vd*qA)cpB< zRMfLY0&6EYYTh1txzS18m#R(nca7~B(7bJ?bi(F=;M|DOZ%=Qg#wm1UNK>j};QZFE zeiP5S3;RhQkVQm~H#_rd|Cj||CJY1xm`xX+LP^~Ll{YxeDG@?z5^4s|I2sCa&wUG z15Np(c~*?=UxQJ@ayqLZh1Bx&f~(S>b&$Q_WrNnOJJ2|(bFrpfC09s7mn3ykb<4?+ z^itpC7`l}i#nKpsMxi>b4my*69aQq+P48oHBxCdo{6AN%!G3cJEL8lzRNrAv@ z<=!W`7a$0kxoewV8R=mHpw9%#s3*Y) zG`Cyayw1-1Q4=9TLz&HFeDNo;@Ml0^)Yes7eut)w{b0yP8Tv*oFH1g>QqIA(fBRlG zLzyi8tUHrNGT)y282aDjZ;5&=XeKPV^ziNE+tULEvMj3ol9B%-%;2;%|LDKeHbHJG8eCK{U8go_eO0+kr_xOYJKg63Pv{t8nto~2y@)+Qkt5aJ+-MN*=qVH&bk!20Hg z!1xLHWej$5`kAaxft&|O`PFU(xksC=7z6ofW|FV|UOGDp%i%Zw5}E}rQ2Hk+A}9>) zpPhNoVJ2GQB;m=^#>NPM99Gh|Em;R3O@;}sRm?1j>ss2{hjeu-aFG>IW_5w98uX#Z zIX>;oP}RRUAKrsu5e17Pc3YIc4d$K4&pXKd{%Fz{g6v7T*k@Pt81IwB#8U`D!beiv zF#vxL8uFK6?waqR_eQD^G%7M8d~TF_?)o3FLebuuUjUM_>fJ3j;YAqlp(ki4zvxJv zgV;^Ek)c{g1IRJ8R{0KLT&4mYF?$k0eEn#@3p|#{1rq)I=#-Q*-m$YdjV$O{&;5BGi;6>I=pP-vs(DUOyTbIq69#CKPAE>mn{D>As+qaMQd)e!J`W`KW!v zbe{sRS-$oBckSj)f`To>7kru;TQ_HC2Ecq!PDWN|Kmm`u2(#-~&BNeo3bnk-#~RU4 z6g9<_6hNyLZY$n^=*~dz2rGl4RXwA6coA^#+Y@b2V1=nB*?oi1(Sry-WxtCRL1Ija ziNf$#PYbZN3uzqGog-t}azl3*u4~cPvz6Pd{H$DIh?s*JMAj)R5SEt%ipRCI%E*TV zyB0#+r0i+8-XJ5M^jv21I_WcA4S}YPUA#W10T4oiUdD7Z~2XEfN z+Ag`tB`3L(4i8+y$i#UFGfL1H7kiT{NxcI`W+i7ea^GX-#~Hi^&!-w&X}0q-kHzX+ z9<+afA|MU3A`~p*@Seb0sHm(Q@QHD9sUE)6c$np8(d*5Coo8*w9w7lAkKQkct}rhs z!fh+dMf5-+sy8Ow`t&CgKZ80@Y^Pib;9ABK7Sp)$+-j!_kQY(cU&S=7y0e42_rR|m zJ?3eZD^b{Gslglea&v&o6dE?v>D@)jnguZWt4R^z8mzi}qL@?$? zHsw3l-0Z~ny@x!r<)@gra?YGe^^&?+hfrHG-z|MIHXY;KRjb~RVmjHk5AZnD?HGjG zI}5nz@CKg5t^_;9XI0Re0i{pPB+ zlA+H8O5-mi6Ox&+!r&E-@SD0@p%9dvH;f(z>ywS+SWc}O21d=}n2%5Qz=HVnNBdJ>Q$*V^BC$o&H&sX9?~+L02>ZV; zrxWfldCRBy&gR)&(PWZ&TL_x(++ zThse4!)y%uu4YO{c&l=&g zMe^$&B(wyR&qcm7Flk^2877ja9)w~c^N)aXf*Ee)*wl^eq#MCm?+`At?sRqJwr%Oc z&q`|^Afbly@-*nL$U;U*K1ansCxJgDD`X%KZYZBYxn9QdtfOOLb&L7ZWy?&1$?>Pr zaiHd?#<-)>pbrGwcAoC?(O&ntbGOw6%O|dzbCPuZ@jARZK9!5H`SJ`UDq@+8>~M#C zVtVoIF2IEENv#9gv!*a5n(UEzcJt)L*>st@*AW->yzeFqy+!biR`oA|uTTa5Q69kv zbQ0^R=R?fakI9U&72RS!i7Af?pb4o1a`s0yFqzx3NR<6TiZ0 zd>}8azrVlAPFuT4yE%y|qQK>!r5mo?yn4MdO1`OZ22PHNth~HyI9%UOu$A6uVbrv) zebIc3`;yGcHf*9wGNy$1)MKDWWUT;19`^?^xyu82;tN%$Za|Nob3`C+pa8UW_@l^+ zZ>tn8;^`&pCv3Zf@gq=$%*FnDG_EzG5-ua%&>SK_++aKGu&7Fb@yC)R^a5wP_)_UV3g#DBx1GlfNyy>4N_`y zpU1)>YY(2c@yQmDo?++RC?W#7^05<$KsNn)d7lKAj*nt-t0dU*-(Y1xb)*8?YES`7@Z=5!~9& zxk$cM$MyMl=s?2gBRjX9j-kjulcujfN`i5^B6(n+lKrx}R$2>6gE_buQlGD?8-{G3 z1nvg`k5Mc#(E1Ik?D*7H)q*QBjj}PCCfXwq_!e@`WG!3GT`)%sRt7~0K}&s= z^)9T6`jy#?*nDY$ezxTsag0j@?mad(+!jt56(-ONJ@f^*?4bl=2X6w_VOuJ`=D zG2ZFU2@%n6;u>1Od@$?~kG6dj2GP}$_2mP&TKdmHuJ{l(Yz)3%-}<5j)Kw)4MbD9S z+tAe}#v7x8hSzV$GRpt{-f>9u*&<&yS@aw#_a`7CH}-q0O0PXmc9TUqj_Z{d4#l?3 zZqhz{IAdJ&tSoZaYT+j+oD&9;k3ZX*UH}Kg4Bc?g1xBuW6&^pqSN{4rUdzT4|MSO- zhPI1Sk+G=*l7Hfqx0zJkDaHw(UOi^*G8s(hnEgfVvt3kX@ z<9{NzN0N)!CLi!D+DvL0dA4mCZ8C2<*}&jvmNV| z*Xpgi1d&i$W<>wWfmz3Zv8WZ(1hNzGP5Z+aq28S*`q3eb)NbK;@k;Wx{C(2b#;vgw zAV)-=y{q{rrnn|x3BV%W?RaHDl*nF%7F*=U+o1W$@+77jPqD2}F3Sok!IQJyp<{;A zG$M0s+z{&Gkh5ZePN7FqQzrT$dObGZAxmrXZL4x`^VC_Z)R29qOUb%$tf{J_p=( zaBvRBN(@3E8%bsZAKkL2lh07m#?@!RQt8~HUf2t`Ttf5s&+}X1b^OlBCVD~Cz)j~m zaYQGw{`%NnD9?hLc$FNX0_R7m7jKi$`46`S)F6G3+fWBa_NG3_v|~3nl~V8 zYZkKZkElCHJzNv@E)w*5!wBRapW#_q*giAX?6}p0BF!}7v>^M&Q!t4+53wo=_Uugq za2voN0ChHe1GLN#WWF! z&uha%q&y+GTIK%Zj`xv5lUp3r-%$lUS$4N5oHwHhSiXfT_Q#-OUWRs1# zMBYOTuim@(+XZh?s@=Jp9ac}fB)J}e!UH4nGq5+eg@3b?gT$2u21r4g7`)}*piX=n z$>eQ1L7*I@si)^x+Y9vNTPL!Q4=^UU9mdU*h?PKQ+}OJ^qEYJ9Oyi?g*q04xBU~F|W zP?Z(Ah?@L4WR!SADJ79)0$&Z0RrlpgBie{T~nt zEO6Ut8)amcxntp-yN)BHmp^dt5|tB>%U#0BDeY`E^tIMsaXn7E-Zg{_&me-{9EP;s z-6HTo3eOm1A3JL}Vv-q``Jv_Ph{>`EFnh#VRp;(On`2w3BYciB&OOlu(EIF1BOIdUxlh&%!nR$!- zxzT2IIKs~|@HA+K01GL7{zh0Z=KX`ZhkVV%2S|t<=dPxS{36`(-T(WJ=O<#7k=YX_ ze0>J;LNAitO&2PdlfQW4Pn$##jDT>abvY1n$bb6+{O1DNxmLabL(CcA6OGW33U6Mr zJ$9@;D&~b8-UCVU$aY{TBMVkcsHFKKl3!-b0Gt=${;!J|u=u>7WC-Cz1q2(vsEl4~ zI8!)?6M;gvQSF-^;5?)wefMRq0Mkqf;R0<>9zx| zp;8vwJu?al7abw)CMl6ZSNX?zpd|AZzb=6NbQOoyaV#t5lf1kz6k$__zNG6O9j2TwHjy3{lzy!T24rk%7LR%(=`g7bq5!h8TzG0@%E9;8m>WylM+*mj=$A2)=K{ z1B*YhKPoIokKHMBc{(swH%JJkJA6DuI6;7Qjp%MXwXteAT|vwGY5V2|Ni}K#z|UMR z#aL-@GAyDf4{25QfGywi02rnHzJ;v(W4$*S&leOZQ12ekh=tDVv!U~@>cO4{+KA#mm4 z*c9*mh%hNnal7lx9r$MfqMn_t?h~P(zW9h*Tk0)&U8RiV)<8=Y4Kk42fw65s3P!Gg zN4${sc*FUG1@c5$R@s$LVZf#_C0Pwrua+AmJSwoBGHM{8P!Va8_&{?nqLbqO!d-LW^Xs->x{!H9Xfwwu+9ZN;HYF6%taWXb2YqM_*;Y%+P? zE=nyVxjeA(K8@RBrP{$qi;{lGexF!A2`5VA1yFGxCoRz<@ZZg1RB2vVz2fL{l- zwY}h_#>pv8hV5{%Ba1dkH4D3y;BV1RJr4zDm^W~0X{~^>H&GC&BZhZLG*IdxKumNL z$2ZHdv+sa!X0~U+vAGBqhM~|51wOj$*>@F>3rz;(awqa@xzn8!%Sp?w0A!F#~e&@L^>I z-dKbZc*}T$AZy>GYx-coKeD7zF@``&nj@V2u<2qK-VT4L>g#Nq;}Ecw!9agwXQm@l zd%Q*8Re@5=T$~loXzqoADh2~hhfnPhE3 zq0cFfk6qxEyzKLj+R3A|yrL;h?rA%UDh}%T#>x9p+A|y@fbZMVnG2(5N!LR};y&i` zVd>W2-%pY`Dyo~@++4~4Fr6C)w_zyDUlut2tZ?)FVX0zrBaV+>vtUjghIL6=QeEM* zGG_c+OfGUNH8c*+Xu>zOnfL>-LzGFb&f4@m3nq$U=C2>lDl}#*U43&8p7e7RL)BQQ z6{tBH&8!}v!F&h#P*(dHwvp3%A_#*xEd8;l<3&1ld6R`OvJnZG)I1)~F%Lu9No#>itM9He=2cM{C^Q?jHmvqZ@;1pDpP7 z9J85K4CHp&sTgxns5aw3ISI50UH0k66qDhqbq5V7KfFLQ?~d5#(-{nSM+EIPtd5Y+ zu9(q85w{X0n@eE&BUEO8DutUB<3u-X=)%!lJ(wU`FX>xmMEEQGAPEE`8=iW!{CV7t zv%n|j1L|*UvBg&KLWB|;ZRsgjLs$_(-q#_V2^-#l{%WzD(~Ux}UcGY4xd3QAA>=Fd zxbX9n_+_;U+GzI-WltG9GdsurG4i3_0A%;K(qX~Iz2!{!&tGUr*T918vaxPx`JuQa zq#8>f5+Hn7zr2az20va)z7wj@`>pEXJpr3*=rI$WH5xY?7_mWv?*O{CO zt6ykocham>sA`jIK|#S?aMvL&w4b~=fUvYCwmLHX$mgpUg6QkuVjDM}*Lo)xW)=i` z5afEgtG z>aL?pEdJyV66QM!E_OZ7(E@D0#;X_xIFEh`=M-5-!eLk-XrENeA5`aIxeIc!CRso$ z=|+C)XcB>*f*rgaSjh&-_|~G#>yEc6k|Z4eB_wfPgiPgO8@a<{7D#1xWNdipabYVV zSwm0e9L>C_M#X-+pt5Em<s#k;e`MQsc6N6liSD5% zNivYIF)#v9gMUu|iE8bl5z*zWD5I#FNAIypLAx@`s;4@<9MLxSV@!C?U|OZq3`MoKjp$|mC9GCY-U_TR0y*lyP{F7b z$4Ed05~!Q^ss{oRzhb}-ULF}T%$@Np9!52zMjQGX540A&e`zMpYp?UC4sDS6IR< z^-q?!L;gSr^J8HA!XC zVt1;j5owm**ZpgIsw2vTkx9g0Q#ggG-K(7jKP4M`dE_dc@PS>k$d?6|O$M1b%*({s zs7EWyOJysWI?>7N9~|P0m@ogaeMxt5{1}IDq13hGNjY&OnP2W2A3L-1Ie08Uo zSxcw0l^Q}2H1xd|d{pVT16Aa^xhKV_Y%bw1+~r+>BHk0!XTD3J4nr@rEI#ksT6|TuGoozqg)PBdNypy|y z#l|F$nrE~u7}DG@B@De9(>g=j$;ruM^`W0%sPNxwXeCmYkqK-K(|Y}?qy6Z0bc3*C zJu*SrF5Sanp)wLYLBk(plSQ2~vtdw$2!8vo@7OL&acRcrE3m-&GPgqM6(O|obO|LRS-e_XTNgT>zCPfHq9bKT2{L?wuZs3BZ)|73CvLn?z-3B89G%otwp4!L*&}pN# zJKjRV_*)!#rO0b>fY38QZYZ-j(i`#^q|gjdPvDZ2LtmZf(&KPJna-z>*{dlc8wrg3 zZ%iC2#GN=?YM$TLgIRkgz5+JBx8U3Cwe8o(1Ct*QT#V1If!p`Mx+kQ}3SardHcOsE zW3+@;bM9wye54sm;5MDRnAu6oiN}?ObEs&g*H+_KOQv1gUT8(Y*R_>00eE|G$0V+s z>`2k{@LwzbVhqmEZX51Z8r+9)Z)C>CZ7=0T}f`tst1tak+z`8a8iJ zK?>t)ak3dW9HAfJ{A83c!26Fyu>09H8sSCpLtOXv@FO15of{zm2yLde3GD$w#^6Q( zLJ<(a?ZDgg{}PO z+qyhZFzcC2{Q3RqPng27U!x(<-jh%I-Hc7JT`Mkokp)`B@!zA%iUv}@0^gOCtCCqT zhZ>-%I1vHKET*awJ;n;;zs&bpfW%M3{3miEci8sCZf*pew}@n+k=JE=?o^EuDGTe8 z)n>~Vg4EqWWsz*zh0Z3F;kgLTMw`b7vw#ISPW7#rpWMdtXH{$*c{hwT<$?-{_0zcS z%19L^jgAZe)A(HqUvt(^TV#!2-QH!onOoM5|A6Ayl4Zx7`GSo<1Bms;&QAeaY1|a2 zU-_9vs)0A3PT@h=CMR?S-d;S4=eFGF&}@D{gAJ zjP=pVm2Z6~5s0gWJAk(8Cs{e7%Vj)VQr=BDUW7E}O{1*+ufqt;1GsH^#YM+WPc2-% zS;q1LRynntP&+n<7afqhXWL!eWuEsFU0^7Ct#Ur1@nMtP)K9iU5${SlA7eW#z?G>+LkR1jU@9$$y{p~tDD|)F$t_)1&}24 zLvX`5@V0=%;{`teEn7;uXjuSn&zVI@g#{uJd98N2r{t40aQM@Df+*4`w> zR3qukmMYZG8lS9{kmn&}&nWQt23A#W+E+dp&&qE)y>I;|AbyKbe zQ!^E+NcEcW+E)ILkyIHA>_Ul6CXGkoDNU)8zSVA|7KP8cTHB8@qpgjsEcQm~p)@)k z!_hspCQ@7s2;22|5F{c6Lw1441bxYi`sI8hMoLy1zhHeJDJXu_0^`Z;{SIHRT)7hZ zLF8%&s-c?ILHmqrDgex)IA@+$)9h_@yj}*3{k`_$6P*z|n+m)K1BIw z-}@Wykkz@&PR6QrMoRUD!ph1@YV8qPhjiiOSbw81V8>$zUh-(k#7R5$H>m1|uML8p zqsETfdx|R+nx9?#!9ECShqb_4-BvGQXsUhIE5D~HEnfe)W#x*|ytLL@ zWN?5OG8+RuVg?aaLlN`*~La`@5?;Kegwy z(8t2eJWqKe*R1BZIR~@LZ$F>Or>xT$hTWOncoaKSZRnZo=GE)hdjrc1p|pyuaZz@p zpQ^ZZj(HqyTuR`m1&S*6a+Qft)>W9iKaNH_hnjmhZ!lCw;5xL!MPVWgtVYWHtWGz4 z(7VtOs!+{7_S4y3IhrAD=JGSa_3Y!^(z^cS^@B98vkX)E9(!lzBhYH`! zp%4i(k=v%#;T4=Klb2FE3Bs7W%-~0_mDa0yugkQ&AbZZ-x>btj9HL7DJX=B=zLf}x zh!}r(6*M;Yjdf^Id?s89duk%WKN{zM7%2w66WN#mfJQAB6s``cap__Ee~U_zzk7c7 z@cH@6#a5?JA}f&@kcvokGib{>IPTnWo48}AR+FmR@n_N&;piEeT=@B|`gsV@Ajtu* zvp5&f<*X8x8Rx!0+`JEYo8zQVt=d90j7)h)@IXfMJAR3Nc?;mD1?I;I!v_Xi`7f=@ zD?o$~2c{PZ#K<{eb{(MqN9{8YLbp9E<}ZQ{&L_X+;1@GPgxZ$l`rASWl)hNM9 zRE3se=0!QSXhzlTytHb76%45TG+l5WOk3jRbs@Qv=wz48Lt)Gu_n*s{MM1A>6j=#z zFj{Cdp{p#8p$7_C0;YVHHjW+TcpmxHV*|-wz_30QzWBl5<7DpRo(tr? zVJ{2BXr8l-(&>RP>wnJTNPsEQHYvNK8CBKQBG~;|R`y7438EyActry1)p~j zqZa!aQEI(ef8c^|~be zY$w-?N*O_@HBNc$hsC8#U{SnlDQm%sPv~^5DjK*nh6ppg-S522eF-|yX zSp^R4iq@but%=)Kkb{|t2FxFmAo@r=c0KlseuLEKuh=2Y`wbfvy*O~{;o?}1-6dhc z?7R*nNBs8Pr$B*uJ1lptGopNxe%3Xr!=W3J)ZTCw38~NRRtq7%u$_yJL{-Y8c9N*P zt}r@>nnBS6iqyXy&IHJD0;h|+%w&S}9%>ztl1NUc@2+SvqYmZUAQBW25uw|jR&>Vo zN7*K~o4F%DQL0iL^&~vMN!2=sWrmnoo9XC!yq}xgNCd-kiHG z)8u+uzuXdq5EhBVwr%(t1z@=Bw@!eBMfG;*`|#ue@H69zzsbEqA$>2`M_ers>9#`P z!9)wJHPt&}d>B+m?M>iFYobBKI+MA4&ztUIwl%ctB7$xw3J~LH2@GOR^r9iXdGT88 zjk{IsVS3PiH16@D`{VN8fKrWchN;Gn0;Y#;TpJ5x@&FW}v1`MX2woW8)PbIJCs0^~ z&_0Uj4u)=fALdMYA4dng1L5L@7#lr74EPsgqwc@Xt0;bDwuQG3)Wv`g+*%Qv94|Cq zVPwkd94F9uJaTHbQ4xT?bR?jb_6y?%AkJd?;9>no&TItf-vsBeQ0+si^JoZyaCCQt zR}(KyZXl4<;=yfJ3&hzjaqg=b^}EP?R6O()dLQSJZ-q8#Z_NFhCWC)z>5!9laIi}B7_xG1Ek#IPjW|J zZIpN<==6N%vZF;vK5fvAQO6s>J|dcu>EG-ZG^J~3b`LlOiw);@V2Q@w)p2iFv~Em(Um7kjpj1Hr7W}t*@ufVGO2Zi(#Q@k;n2~es{D)09pqe8G)RXE(+38H zU6&nco>Bq)Ko)Ad&g%3rqY0*=p&nu zlG1PvqM3%4))gyeRhZOOnua`b76m5lSz75V{v6@*xKZlQq6%9Zp^iD2T9z|dsSOEQ zQ-ZhXArhNgwf+?H@KE_~$C(~Gz;g6bcd@JjOAhBq59U~m0BZp`BDAhiCvFPkL@;>N zIB%BC23!dSJ47U|g(ry=SE@Lha6B@6hp8n$6XZsg*h@r&|@ zZT34@QE~Fg^Jl2(y)IJo#m0IM1na@WhcimWK+H4jEV^`!OUe%?d2DfAw%+tvY=$6I zQVWifd5{6nT%k5Irb>I#Dn-}c+>^1-^*V&A=;#_nw<#SEIoM*RwfDwOJ7mUETN_C@ zjZp#nuSRD5I5APV*%5uBq7&XcG)k2%YdM6wqhUtatpcp}j4_7-Y#`uxGy$0(+rYq= z2D1o$1(z`d!)w;iArB;tbV>6ov&X*tGhAOG6 zjQg!1MU)fE-}m$^@>M>99wnN+p<&vc>+T*q|5=6j>^OHdLH+=ryO#g;>A3h;c(&z0 zs>(6{MXuQBlds{t3f>b@=uq2lA>srwQmd}mCMOUfCeW>Zf#E_I;H=aHMb8gHjoH?1 zEs)_NaXeY10t1b)r}q;&j7Qsv8YKo5p`n;h@<6EXW{?chmrGkN2kt9Cc>xh3>FvOW zwAt|^U`#Yp-h;bNQwAM9SwyS_HSE+>JNR!na;GHMI&O}1gbXqCQ1RyKPxrn7#pe`w zQPh7RIx+DDK&UyX%L&Y75Ko62RDa^=jd`5~Wa5{<_KV^?KBqm9awfh>r-7lA(=ui7 z(!fx||BUTjc=kVk24yX7@4x3d9Zq9`{bS;dABqTDV!O;}nKN~)s7*wKm9GnilwBIzLWx3&hm|zi?+4z?H`?nDzjsaTVe=jC#!|Un$|NA$k z|L^NjU;g)}m170|=U4wPSAI_4s>PNY2O%bYV=&KvK6+JmypW3opJ$)YzleEyyKD`b zt&;q8gUbl~rKSnsE)}7mX`R^p?|`(3SO+E5f>Io?um7rwM2j#o5}6aT5;H{>7I|N`L`4sbL~< z;OD$*JT0)cw^XwF+yE++o2mjDOJ-K45itw1>{M+fG1%}jcvS!W{h7`wxmL`hXwoT1 zYaDH+(UJEgJa!zL!NU;~dM>y!*>^r`Sw4wYK|F4|t*!0;aQvDm4~VEtjX>b4GWv;{-2-MrrALRZsu_Fw~zI+-JKQMUz=d<^i4?#|HDMIiZ1&r z5rM<7{4z|87}`X?9W|S7axHY3G1cpEF?b`fQbpagn`(4bBa{R za5jUEj)BO{|J&7l4Ys}ytYQkN#Y2LHp)Fb_5_a$RP}|{D6RC002~8H*E{G*@@$n^& z2EbcU=)YDuf_TgNuf=Aylh(UGdmEw{&4#w`TKcGBtbceI$K!j%b}Rq3d3cKa|K1`x z3F}g5=3qKap27qww{Z*&y=tV5P++sP7}CQMSpRR1?KwTEOIjAt6BPzS5gKVEryQK)q+3yUq)~q zMmjS84`Xiv4)xyujiZn?S<6xpVl1hKM2SKMV;|YGXR;+rQY2d;`<9V427|FL+1G@W zCB~jeS+hhbb^5=*-S=}p&-1_T-}V2W>pJIL$2kY{{eG7B`?bB{RYC`C0h+_Juz%n_ z0PF-fY^ZO@D_c;Np7vQC6Qyt=KlX39_rDjrKP>hx+tcJ1pLjtmNnVLhOX~v=by%Gu z06YL9(FcGQAUQB;BV^`jY~}y3IuIZYt{ABE5#R^7)4#45b;|D^-GFu&y5$S!{CS9X zphk*PgzEYqwlCbvEXd>xr2GWNWAc6!>?C-vdEf@1LPFa9ho2AU56o6qk2#73j=J(X z&w>5&aKC}~10aT)sv~enD?A0NGlUJYyWj!-6<;5X**DN|XMHWewbZJK3XJCeZTW)S z8ssxHW7*>FfQ(ZUMoM5ws($`|Z$MtSDak8mfYfE~aQe0a&@&WX@HE^S)<*w_jSUSO zHxe%guyBTB%a`zz8P-teQ-Rd>zwRSWiuZJ~%W>YQ+khysg{xAXvbKaqcopb|C~}M6 z&Q0Xz+5|d}XQQ6J1waOnCTL1%b^RAZP{OO`t_P43(+cy$5R&}UEq zIz+@H`k!YIdN1XA84~sX?<521Jqu*pf)e6yEg~)b(t{uBoNnO8y8vefLPEEp>dJw^ zAK-MBNA^d0cxQ0*33&G9MMLIxClHAmfGdwK{d#DGqV=^5)6&x7D>hF%#q_8Hp;_Z+ z-_iU#RbZ|DEwlphpx>kEt609+44)Jc=^(uWa{4TNlTzgo+03#-UqCyw@mk zasvD;$VY+{DEMJ8eth(AK21^;%q*)Sr&#%gBXpGKH3x8cSpVAHoC0HwYx6qDw-F6s zYlA0fPB%m;>Ch~}7==Nyw)qOqlWzFMz*znAO* z$RLB|0Hq>gRfRDrZF60bwa$F7Opv%yXpzdHnuh@>a0`OMEfHjvXF&<3zONVIE*PFb zgYnb&y9X#Qkw0CpHNdUQ1Kw>dxTA9_V|@q8|2`}Ngj^unFqqS<&k6Nr16@pQXYwQ` z3oQ*bl&BqWR>9bn_dYEF;}s4_D+UU@k$a8ckOqDQIgpXiTIg1K;s2eSt*&04vGm}7 z1lt(S&nCYeAqffRhDni-F=XYN{9XB>u=0_RyulF{3R^pIxv5rPz*iq2;i-otlH&FR zxX?3@fL0U9Fvwelm1YOxB2e$btJQ=`3?!uCW$?1sYc^d>7pwg=LpUGv*u>?Ef zd896^f&etdlYdw8NOb<1GcYR8;5x5XH&^8=NH^e_eS9K%Y`Gr9ZQ71^5jxw2!gWmxnt5#sWMCw2_)*BvubZA6gGY#Dvj_gXWA&F* zJ%8@pordqQb?##R{n;iWJA?mzT-zHXbAlnTRv=o53NTP5mq|B|=c+450^ z34j>Hv4gGTGZNzi&l7>b0g2lLiuV@$G&z%XNVc+uBc2MuCx9~&`TC5A2Qc^{;;{gm zGH7sHA(cYK*x0zq^#VY*z#Z@e!m&9FprG9S8?Z~&|I5lnY=ZzmYx8`V_*0wQ#j~ab z0R=E<8;SS^AtK`Yhbwr>LOoN9ME&Z2E+<326NHUuXFZO7LIt8xX95XuveJv=B%G z$+9Z50^Ska&bDx7vSb+Il0f(!0iAFvAft~!IeHr)J6RKVczze49`u3@Cp8nnmcxWZp-ii=snzOXnEZ*3PG!lqEQ!T}2h0bt9WNOTb3 zyBZ+JBuuHx9EN7<=m%IX^I&5{OVS~(8kedE2-REt|e`7D;B8lYk-C1>* zpVC#qZ=qb0N>~5QgLc5XdS<>PTcqVmw|BWK55?Pqns$91JDh0je&bsC!i^VFiYxE4 zNT`0l2a|9exuQ=Vl_y8y&yUqG`3`5?%WS#Byiwh@sp;jWxU#8HMPB<2a|srw2>1N; zzCY8`=d$Qd@@$ueN{eFj-OTty_qxj3+sXQ5*Am|W0<=LpAS8~1B1QbGC-e}&jdLQQ zHUQU+)nEY#Ms&K+!spf3PfWhZ0i5pOEpU)lS1~jQPx`<#taJDLEw71-y~?RL6YX%` zb*zF6DETP&)xsx4@mDNp-{v#%#N#Jhvu4hhe0ww<|K3K(p@Jx{IZ@WbxU}oVHGKQ= zNhz9usJ1501N8nSLvJkOR_b$^`6fLEjcB_)#7Z;|VV;gf2NOvj!~C};56J#FU-R<) zZ1UQHpVdAL{Gp+yPG)_5LYk0{F&RM*?YxVth*m&BtBe%$WZUQA(^#e!;@tP8)pNPA z7wNgZ>NyS#%6)vM+#2l^c#!7!Dg8F*bBKJW-WJL5`uqoX<^ON`7)UADpC8&O8 zm&np#z5K2aQBQ)D5o`+gkOmlZF(X671A`=kFs!gmJlD-%4bQlS!iBZrpT!157d{gD zJ@`jmqxHGYE++G}<~xfq?)vivWU4y|V=)f#Dox%md|g$A91ILnUkevWP6`ra4($1J zexe*y=hL(l- z`s@;oh%#9E>3rK%R=)eFi%daIgv+Jvw;o;ZbBp259|jI#;q?}j`Tfw(q%rGI0r3Y2 z+HI)YsA6^U?*fJa*vcU73$oT3*F#za;o(ua2BQ0^Nsn>?`plW#%y4ocyzA+_`_+v^SMLDj_LJ1a{AZTEPH#M2wB%fPW9;uIq2)Bi`tk78;Evs zF+@njt8&me%c0FV zE#k5oC$xf$yN6ZTMHfae5fbe16n;1;2ilpmzk;Mx`^Ux$NDwQ5pMWG@g#p+#T~NMT`8SvB&r?` zd!%Z63rwkFiyP$3Au=MkEB^`|(%%0f=3%L`{(ofC3C#QhK^iJRA5@P1h9eF?tpy&tH-IzBH@VLK-2JcUs%M&$Hby_k+VYD&E}{nOFluP*v6dO}c-M4&yAD;?Zi#3To-uiiP0M8a z)xm7ab|=$*bbB;qvaq^-*4?%4Cd%~?mcW_xvM?f#f%g7RydjHoW_ADjE1n1-fbS6E zK8ML`%7)09GX8EAT+&X8UYb#^XZy_vUnN}PV4DTt{MNIzbwBO{`<_9(bme_0A5KF@ zTSC6Br&o4mJx{`U)%F5G#-zEKvCn5IneRBE3e1;q;&1F#y_WQ73se_&EPEl;HmmeP zN(TiP?Asu=@G3Pp_KaVx^w^JI;#OZbWm_)$N$s6*RLN3AV(~=0%*K)x-9^rU$N7@X z!=iD^WA^4ZcIIUUj~xspkg`aOJyoGL=XcSe^^eX?`sm|cvF@3b(3#n-QJuP5T|T8X zdXx8Ki2ovifYD)DPQv1Gq@E1(HOoD?C5I;zjtUQPix0O|sC22|sIIkjb@{ZF3%be+ z=h7#${J=5~hl&rniEm+zjOx?QX3< zQ@GeJiN@s}KRJNvsI1{frI!34+;{7eIWgyPf=b?|=*X=QgTc7Hd!P;UX-R=rZ7zwKK4aw3LIogMR zF)Wwl>8@zX^rjv5Ds$zroP0q(Xl~K@8zKa$kh1~-3C2s!L79ZiYypcDKv$(|u1F#P zfTX=u`EIvJ&LDmOg(Y(!!tAIDm0Ru=Hgya^Tfllyry)n`k^V?i;M<<9IF4@|T4wUn zA3yJgpVT&XDIi2zx_a2BsgEAa!^K%F5nkRbtbV~EPTSN-byzIoyJ=eT z72yy56h==P*`Bh|Bgv+d(Y{;VGpEDw9J;0o+bxERNOjo;r>1dNwI@XhG7KZkky>f2$!oDG3*BY>Q0A1#airylh0rLB3m(f>?t5e>D?4wY zhVF_Vaga1OFYg~; zVtuw68wNG0>d;tCaC8K*aIs*l=8Bqdl-;ELBWPsGCC<7I;JAi;Fh{IT`Qvsp*K?Wa zhrjtbd~r$tYJP!e56=;a`UK)C11`c1FnuGwtJ{z!_BWapWLnuP3Sg%Lx#w4CHe;ZB zzRUAS=@{5mc|fMM3uqx=tZqBVS%g^3kdQCH>uVs|(8_{1yyV#O)(H(l_d^4BX^hOr zM$4*esupBO6SfoeU)J8&SpHI?ZP7hRkU1?$-xWHv%&F5~FW!-3?iQOtD+miFJ4;Nn zaz^)F)Ay2oc^>A)V)1bHDB^gDuFfahszQRg`RL-1QD{6#c(6`o-OY4+jaz-#2;DF7 z#mXSg-qj;frOETmm0pGA@6!g8D65%gKlRci5@zc;?df0jZ|Mu1dz_E;!aC?>^8Y++ znu~q(ELKM+`JBsuj|J)k9=ed#*ck6LyHp1HUrJFSOKk7BXnuZ6KkRniLN-;d+%;u2 zR;QH4-7y!t;4vp&x|lOx@5Hz*&CH=|mTvp6-BEhCsifwm&;P!g38Y!7WQf_4jv!`b zThGr;NJo%n-)&3tTwbmB8fkcA$i>t0$<~CGn{jpy2Ih7(d~>xuel>pt*in%bi})9_ zCBGlQhCqCf*yfiA$JbUNNz_TN@Ar3+P)3X&{TU1Ph=z0la!X}bWM{n(l3Co4gcyVj zMuLMNZ~*XRr1yo;&lm8GkVqIp)AXC%^6@{*Z+u4C`!TGp=U1+~o_6iqiZ`jQe#ChD zm+-J$(jX^ssh^u?d!=r6C;D=Bl|rblp{Zf9_4pUL_qyiI-=$n#U%t?o%4$SmaOkK= zt=9ZFu5JCN9LEn2@V!Idlw8smIJ>0JmUB(zv9)VFYK`SlQFPw8N!;;_idT$&-WANw zlbO0VDyxO9r+?}dy1sjaD%GK8W5ug-RNo0pBKRxYSOq42i0AueW5OC2l3MsMSzt@w zAgMS-+4CklsmA6^*41x5528P0#XM|6ljiC0!+Qd0vbAb*$tPv7kMxwUP`FS+cq8mi zP~2Ks;cFqq)jr{Ig@3&&o`a-0(MewM<^R36EG}perT8gr-WCSj)-T?zW%9ji`r4eU zy)4)%EtOi+q%Tkt=}ksLsr_-?;@Krrdcg{9Z7JB~*z@;?oK z`(`v@e7oSwx7(HXI}JsX;?N(mbi}gs1!M=jXj{nov1?axIL3J>`kOaQ*GJ-p#?%@yN;&s-O(EORgkMiZhE zAD>^3DJJ+CSefrrN`jrW!|p_0nX6}GU34jUQfa#9A@}-IGezo;G1AR$Fm5`NG_9hK zP5MAn+^%vA>J+(a!q6Jx^u+-O*eK-u7`B*tY&F(C7Yc-M=qYaA-nEvhb-V~&#X;zG zMUM)zxYw*sbTm=k&vpM{>08N8N7px0na?$mr9=DbWDRkf5=1k_qYQLMm_ zcua1%C^N~<>R?`RR*ai$Q^NiFARC25W6?1a?(PapTLvaeEeAgt*B=3ajxFCu6-;m5 ze|bJ7!il$Ud&Us8wzIvtgi@N;6}HhkgdLVTH{gVQKEZ2Al^uAn&u62^%(0<*Crz?X z#gL0#oC&Lc%OVBZ<<;0y)AbkCexz!9Me+)}Zfd6?UBLC@p4~OlmWG%-R}u$Z(jc0& z+%IfWdoImEaglJ@;a$6jC8OtqXVpXb61!fPxZ>cvuB!CDv8hEY@nfi(IO-QY&G=lUy zB5(y-Tqtvm^d0J?MtAWkS*10SexJ`km%F~m1_twWQNFY7B#U#dLZEZ7%~R~?&{{FD z(KqoAyS}l-bR!X0VAG^Q(teT9*2(Iq2}MZ=#Rc8YSB-@sw4h_jxmhXJYi27oP5q5>jWqU0yDl+8>DI$N+E9n=1df@dF z$y@)(?0LNvTBID%SQH{o(X^m_@(qXVb4OZo1g zZQ=p)%2j~VJ&a=BmtSQ6=vS)M)uslAIDv1n_3vH!ud3(-MmR<24P2cla}KyZvlp4C z?S;$EMLk^eJ^Rk6n}rjXeaD77J8)+9A|)bUdo<-G;rE`q=9*7DzSJ$@`iKXA3dvWY zGX0ja`?hCvzP2VRKGFE3cnKzO!C_DQHN&WuOqT)PR=lI3Axqh+=Dn7a=!0L+breo8Bt14Pf}>;5N_2u6w@e*$SRFFgS8!M7=b{9QXP- z0WDUl3Ei_iS<7ndZALKTn7hU~BQ={%(wSaT{71(<46oc~td5ONEUZYeQl0orp4@9H zhb?iNON?nKc9WVbwHHn?6c;d}7)=G!P1>_A#0#BM93ac~3m^4W5ITyk-Me$f)%}{q zA;r>9861x-&95Q=BJ!^~*|~MF8U-a$CigbY_A2e}tw2u>W0$C%5X#61usWU!`_$wMENEl?cAXE{|fVck${BXf?lXxz^#FV;^ef4 zSmxWFSFlPvS_ICNu7c?axbpsNipJD&&LQzvU&E$xFNahO zx$$t4qYI;t*eB(`>i?GQG-3Syo&#DCEhRf9H&tfxgnVd|jIQ;aOi&+0U-{zZti=#D|IpG;x}#eNic? z;^w~LALVP=S<#Vwgm_?k1%1|2y2A*$=Eh^XZaT4B%baON!^}%*T2PK2j=n63kCj_F zDEK5_yPnHFj$9#-1RlC+cBc?1xiuP-v1b1vANXbkAezogdrHJPEx_c zh0EW6u_e#PYAZtjN30WyTl$flu)q?>68igT4Sc4Yt16F=PB-p%Rk3=Sb^Uu-q`0^r zr{jklcw@!l-y(XwtF|N)W>GVK><8<)&$D_-jed6+o0Pv;B~Ugc0P8i;QsE&EqDw#)ov}1C z2?0b~rG%C?M4R#K)AcYLo$VXyO{X7H=Xh-$Nj6s#rOga)gK#cGD9GZIrwe=Ty(v6_YNKzQ zlvRPk47taqtetd~&m9)6C$h!x0gv_WG{V3?Ni=s0tXg7=5-uN_aayvU$SIJ& zJW%So^ZnQ;?lN_gimvP=5F*+DJAK?^84)(%4#?Du36e2Y5$N+8I~-+g%34G@zrB{B zX5%LF^{&*O;AMRbGsU~7kJTUtwMdF^Ff|cXeU6tL&bb;83l)JAx<6}Xe2l1OrO|!b zl|v@R3i)3W^3(1G1yRsGS)GQsh z#U}U{e&4-x>)k)U7voyiIFhHP2BiIOxLu2(7vb7;bj{Bd(s6M3I?AP3>xwLLo2$(* z8JJLd_GPfwnd#!lQLi&nn^}>7Ps^5=7>=&)gdJR(S@cXleRQ>gp%}^cglstiSZP`t zD$l@qi$oa8O}igwvwjsT2&iVFiKIHDoSi!5{;2lGTI*AzNgo+!_EX-GI_{__!y}ma zI_bPZ&gl6Z5~C?KOJ9Zf1i#%_YnXS8(COf;>nHFg1&mQgcR7#qo-?sDN*AZQF=_Q% zM9qUw_@#EAsH@o`K~qgw4LGqLk~sVIvo6w$6abIp5?^BYxIY9MyT89HOZ(oAfup0M z$&`sJ)OV-|n>$B)_txW1tN}jKx>lw<1S7xL|Am`%QNE_{=bV^n@O_uN(ucy2eEht> zpg=QD!|W3GD*1=S*NR_8>O(H5sIvukbei72@wSvpf)F|#Tx*5E5dKl~bTH>9x^e+Z zQ4!}k;NzYWu{LgjQ<9fz;I@rB4s?so0Ht_cRhhE*{zRnP3u+prD7XMl^}YS6%AZM$ z2Yjg;Yr%gxAYHRXU4HQdyKeCOP?5|NGAh+Sk0s4$qO-z9vcbpX`6)v&t2V7~c`SUx zRVyR4XQWb0+K=jZIrFX!{f) zJpGj>WFM+#O=RTejhj_mX>$?#m9PK|cf8q**RENERp`eZBBQ-t*|`&ul|Lk>gcDh% z6hs`^83kIgXyqcSv=Z(}*@+JWXl3ebz5@w#bm1yfRB^vWa!; z|1KtxJFfuP(OjK1L2ffw%_{j|$1M$_q!;on!}BG9#JFAAs9^EJ<`_!PG)c9G$##;p zClPZO7sTSgpxp=Tr?RkP>^J=W-wM;W_X)>yYf+41YjsQ0ZyJP;j&jYZNG9JLm9s5> z$J)hJ{N+UeXx-^lUmCUkOCoS7GD0RC->C~oO!>)G}zh!og zLe%wZONNJq;%bgSQ+-SM#z>e(u+R_SQZmjIL=bYZOlq5qGke~&JSik60-Tcrr8eWN zNpYOviE8p$9IVSOlDgIeR#WQqM#*D<>V_>@o3M(ESQ)fd32fb_*^f?Ie)`Zx!AZ79 zfp+~)W{t}#!OtSufkSKb^{uGOI7zHqP3EoEtHN%!Pgw^OG4O=|>={o_hX|7kUBs>Z z3nL8ic5a4~qW%6Yeqtv{ovW}nBxb_Y=r!wR+L#yRU;Q&Mzdo7$E z7yfBP)#VESyy=GRPFAPhej-y$S8p>EgPS4=f@Qb>O*)E1R6T%r*Pgd;-+ypTPDC<-NShZT#&8#kH$fwKL6OCjOcD%JGY6>g(zuLf}> zJ87kUk&~+@9OTEMLy08LkNX!**@QR;!aK33=Sy@9lHDGr<`!ogCAwo=6`{NUatP*_ zqvM5|DxUe%eNNzD_3gk zyFrRb-Sx_wxp&9Ho!209X5+0$QjJ)V4qVvnRs0o~n_s*5nKzSti1iT#=lZV8WIbeh zVX9Pm&HxRTHlvf;DAI7Ek?5;F#(@Tz&cKZGVx)6u&wDpEimEU zbPdH~hybH?`tSp8a!IkZ?cVo-+Vl#N@bwbulNmCn1$eOD;UX>(5_83;!oMb{{P^fV zyM#L|#I8$88$9hgaX1-S*o9SC=I5d+iLneWw~luwDCfcws~w&Oig=mGySEefNN# zE$U2|DTi)!+5daxWhKe(m8EM(F*XDpV#;x4oiW{sZ9j8dHwzR@Jq&wGR)MArm4essT@At&=N@j|@lB4t2!U2$<3SI-r;G<;F} zf=zkh)Sme;nwB%PYE3U)=Cmtci*C1v<*mlt^!ND&0_RTqDojRPay*8(ff7x zL7$erFN%m!m+H-huiAhZHH#ucCTtM>IpY7@y}x!YstKn5q}-(~a^^Td1wk$wai?zi0WyZnMo z@hp&0R5sQ-N!Ski2hRw5KnxWX$Az#`(2T@sPwsjr9sOYw6p&P%W@n_<^uY{%%i1Zb zWQPQS?Kpv<%{?O_298Yfa}?Xg-s6|pUrI@EDga{h)93AFN~4uCepoOGpm3g!Du&$$ zzY;KcQUJDUV~N^JBb%SFB4=JeTK&&I9Bo(!=<31CIg{TBrXjToPGg zE@W-C0bCA-W7tdVHAAe7%j*f7=XJ7Ij`@Qwgna{_y1q=n9%_F7vEK@>n3WZqDbQLb zkX%yYnA!G&^CMkhF@~1~#XMh^RTyz?9%Z@KKa^U*yUqR%O?#3hz*5B3>?x5Vr5INu zqfKu~dDZvLPEpQrhO7bxO-X0bzM)bSmrbpbRWyg2_%DFos+ceFRC)a7iPkZ z;m{(4Tu~S)|9SCQtCrqRuTraF!kid90KksZB-lBx31iY&sWUaLl4Dl0YX2-a7d;lm z0$&UqtgBc^&PRgi{|01O3ql6hNUb75-+1%p#!PRMn{l~ zK88G46)Gh$l0avYLwWb4m-UARFL!uI+b2f%w1}Kofp>r$6UgkWH=*vL7WpcGS>jcn zaD?yP7O3+I4$Rtu==>hmpSQLIaYi5#sr++vdNG5?y6sLEG!63yopKGh@0tbxZyXY= zkT)U@a<#a$g_9Dw99Xk$GM?U7wg!z8ahQ;gj%-$=a7}&_MLia6+W+}eguJs>4(R>3 z+{Ij5j+!Roh+>sPx$)fPbq}voZduazRh3)tSZoxshOM#dS?XCpTV#q{Qxrg z5i1EYHF2=&=fyKf$O6Q9pQi#RZU;zS%t~0y4Ha{XFU02v$G^-6hQ$zJzBU572*h}< zcj6@)@P5zRlz!H^fREEK1vvdr#yF76Dww2eo&`Sg7CI({l#UyE>-_PuP3G`<6<6&H z@5bla*iA@-q{4uRGn^EA?AqYO>($3(J$^}a6wqG~kUh@6XmWjyYn?2WXen^^tXcXHas6odXD$;w2TkStXLMl$aH!2{P9ey&=1;gPxSeWS)}F`16wzB z{8C@c+k9J7tD(20g&%Lw>TxA)X+-EYM^`kX0cANr>s`OFU+ncxyyyG-*L7kVk7GI< z{qg+66>Ydzx`$Qg>0rGWW8F)g+H)Vo$lyGJ=eFcO1jg7;w0kuEyh`}Q5~@AU4H;%a zj&ke28MNd8xI@K4m;@7e0(p^&c+}XBJ|Rr^yWgEILvEFpFeZ6c6LPTa7zndy#|1Sd5{$ZrR5?UNxI7H-391wA zpNC(4bvB869wzq3o9tG`n&)QZF$uD{5knpu6K*L!{5RV6Ij*q zPNVya&f&N*hgk1&a2zHD*_=1(V!2qB-^U*jdeq7ka9AOnnVu;Y3H==OPpTnlreTbKlv=vXNTKGra+~?E%cU>M> zO_Bj99na*JPAswwLzx~$FM=y+$N;OtYW>X%VkJ7YFo5iF`tZ++PuPv&DX4lZg&yvJ z1^^Q0M5z##c&yy+tl_*H7L?j&>;^u+&3t<*V3UbTJ(|AnCTLM87C41_8pi)63m~t+F?EZ2|G3phLm(e&P z2U->eI!#U(DlS>MCBynmn7p&yAhHs-7#ZMF3f;Nt1H zZCXQ&H<_^ZRHH!z=P7!6-<4Vj52E*x=i)hr$}Jw{+Eh9kCT8zL8+Gx~rEP>l6;-7TK{lzu+3O!f@tV@m5N{jWnRj0c5LQO(eaak^YSJIR&m~$(I5Ppa-j3N z8gMw195nZvyjImm%DIVpj)%+ixI|!4-C^Rnebx@>a8lhzhaZ?+NuhFdc^&4iFa`zF zt(;P=9)T|B9|8lLEoQjLoKC)GzIwV!oU9G2=N-Y6ubN=HjPDb*a`oG3w%FKfvU#9n z*|k3WxT^_Img2j`?=`aWW__e5DAA_89IfL0I;*(%YB4cC#o=B!nx3b_3zN5cEa94Y znJYAB6)#}+^Q*U6Gb}fbOpkbt_zq0nyP-(A2*c;bJS=68s?POmY0KWZ2o!Rm5W!{S z-x~&r_^Pyk1Zs#)d|ynNhAsg~VCXlih2R0iTnDqI;urc-zJklhvxDUv+N2cRKvUqr z=7)K*{m%E9>d0D{{w_}yH!2+N7H6o_1+3fHzZu=`Qkx0s8kXs=9VRuwy0{H`Bj~Oq z@zzh}K%b?>YcJvtC{hH;kG6otJ-NZ{g^CbELa$TAF*!BpgzGQtdU>dF&b>-)eBF==!{8-9b@(l&mh%dRDj6PVDG3Hkd4Z^o>$zf zjBASA>wT&+kk7#^mMfLUl6ShdC}DevTisB$*=%j##3hSTlcpf8SL+?u3l4>+h6E{) z=62L0I-5+Fn$2*U!frVvl(gJt2uSaM2=r|iPTugthTiABYm-T_>#fo^;_Ch^@^MZ) zVJ6hZ0MF4~B0hC=lQDtka;x_TzWksmN%uPYq3xSGd01#0`(9fgkgg|X7h2ioKZtRG(x%+W z;mD8if3z!dQ3OXj(w_>F#2}&O7)2lD$4kI&N;@*H7e+nNU?GP&{$=h zS2=~ZAGgv~!nRcl1c*h?e!m+!WJ%FdU#|bu|100ODUq|$##_8&FXNi}@c#P>$#xu3 z`51HQaTS4vQmvR@dPIti8d^>GOaIj2@chC8pFuC$j+!<)oFQ}!-R0$yd7nJ5dE8u% zNktY%IX_QV)q%ZzxvunmUK#}NKTq2LzF)yCj9xG?V$Z%|!yRCG;#A*N;S6H#88x`b zrL9dx%|~xsbG9l)%@n5qr@xt~0)7M%#%sM7t_ZNy=wF9x1IYoQ>YOiWu)0w`e7y&T zO4xrPS5#|`BIVjBS%3s3RwDnP= zjp2(;UCru8UuDN{ll^kMoijCr~ zSJba(%GhaIu1s>QhWS{{%E+DpS0iUaq^)_b0ZNS_7|7Cg{!5#Q*DT&^`t}qhI&+jY z5^!WDrA$p@4G{-3d-~s2r!HXydCy^%t=ylhPT1P@f209G+G?Fd$Z*Xs9lMO{g~II`CBmEa?^vm)43K=2!bh<>~FT*MJON;jXVQIasBYU78u0ltq< z+VS!k2qIkcdduW@G0%m<_az0bXB1^Lu~Kcwb*@aCo<}A@F6={p-RJN4TxR!|^1~Ge zcAEq>fSc>6fmYydS09(VaSg)s!U*(t_N5PPE(atn*M;j2AE0frvH;xuZ95xOhkSkP zA4B%dtl(&IIE~yU;VZQ+APzAwPT#u8G0sX{vVO`+-bea0H_YjU?eYNyN}35u#aQo# zC5E%xdnt}5SHTT#w1*%JC21bdO3*g#j2Er{v~!zr5k(|F7n3I9<1`-{CRpoxcvyf? zv_|t9ZYOTV zhbV+OSewW>zJ6KL6f%>%6s9pG>L9F<${qSb1(kyz!bd7AUo~tBIZFE80AlMA4;d-G zYq(n$HysVVHhvhPnQk>5y%cS3uFylx18^61fx)FaPr)r#t|{n)Rp}Y}%(oKcFJsbS zHXMcGI?eS35fM)xx;E_IN1Z3>I0%P2D2j=}e!_HYg$?0Rj;`*Kmf)t#VE}lk{d&H2 z{e0ltd_-HLCX6|=wnJCRe{OhEEPjJMiU263LNb27jy0eqCeg;wAWn6p@qNC-i`1Wn z(y~nj%#ZpPFeE$Ci(6NWx(yPII>#+ivrulaXP%0l1w&F^wfpiM&^ z5&C1pbGr5lvkF$aO^JAREfW@YoOyzb#i&a(+y#uD`*xj|b5a?fI(E<$OIuUC=1C>x z4(Fu-Ypr*VIl4N8#AJN zY5ULK`m)X)?szJj6g6e#cX4Zxi(=7P$63#y#GWvsSf9W2?_S8CI};<56V1e$6D|3r z;MFWm!Q+D93bBG$LItbluVyfQMdZ&hqF5o!Vs1l%&emPaYtksoe4TV+{ff>s?(?%` zuce_-WK<>+qbMx=Zg0x$brP%IKU&F=G%55k_z$LPbbbj)My zck#rtuF)p4bx!B8RX45!(MO^>s2T)*8E^EkWL}cLmyTDl%1&XgjY;m0$H#xns_X1- zp0eGFyf3VA2d8{_%mb zPgryeKYZaxCO*#4Ki0}~;Ema$#sMF#slI_I!-vz?Tzj z+QoOZe(f)|zH{aJab=Ze`bQTZs^$w!wn;xEG8~?*;(Kabrd7Xsr7F|}WKKuCSLX$(g-RCxcp5Di{abvfc}s zeZ9RrA~Ezy)+wBok8FFYWwp24-E3EzDVQp>ONp78ox`QdiJ+=(#(r1&V4Baz%@r~Y zV`NkINp!E3_Fl2|TssXrSoD@UR=(R=Gre)VF@De|hKcochM^w&s*oBD@ls&X{`hAM zXe>7O?oHcU#+O@;wH%vjo(=rM+7Kn$!)lPgpDQe)_wie~UCSS9#h`tm^u<)H4JyXX zX;U=k#(%V#&IFvIs{7rxcD(Lj+H~uDWx2yOY9fA6c$`7mECL4Vz5P-QX4N)w(3+W? zU=O~#>>|``j_t_{A#yIToKnXF{@u-%T0}1N>s1 zL!u`_gK}mA-zRhN>)oGJ;@R_z+ef$eVi}+eGfL%24C41$EUu* zkki_B#mdNKZim}$%*7=6kfzw(3!+M2ts5l87)<2X+RR*hWVG(rHMNob0)z(BWTPY1z2ovaA$S@&rrL8)H%s0e3!rXYp}$_8(S#};Drt4@5Q_sL5EqpM4wRaV9pb8?JQ?^5>Dzm;Yex;12&0~on^ zA&9~@7wb|sWtH&zuG^NS6^;5W^$RhVHx4Z0HI3AUdp(?1e@@0*Oa zrM^Y!DFo;QQc-g>DlzTjxJM%_qOg(LHvTh0Q@in>+48Tx{=y=(GA?wXB5j*VE_86P z2@W38HlZ!Hrc@VSIOns^Oje6%N;)g=na#EODbc#t&W!tLOlEPA^;YjZi_xyCmfD4Y zR(G3@{T*5cK~Wz+QZ-aq1%3TqtY)f^y_=K6g!w}$`t-o2QX)?L5Uc7*o1;LsJzx$=#l7sp)K ze$DaUA0fm4zGQ(VHyHf5NVpH=A6>b9`wTML z6(%O3rBfnd?p!Ju^wM`$DDyjhFCgL96dYqZ`Dce5>Z)qcI8jryrIyoR6sz{r{LTx^Wm_hHum%y-OCcmSvHbSPuZ0^y||Vl z>fn$m$IfPJqP4wdn@IWHwY)!GTy_<#zbDj)$p2!unt^_%Tuc|E^QP~vG_*3``*p=` zFPsyV`+UoKuW8nr@(aoXcj=0#U0F7|XtJvtds40{TPYbU-PtvwJJ;YavgwDXt!eih zU3KyFwW+wIA*UMdbfOyOR$26Z2rOE%WPWz?C#XNaDO6LJ~UM^2u%mij`grJ z+Zgbu9#h-|i9`?Cb%LJe_6BB=?x3^p&w6;47He1BWz z^3=>$oxpY-8+JNw@2fO%?LNns(cI*7w)OLFvCP_#y6RXKOR2T#asLKq{qXKvd&?Ov zX9ze>%X6&0JjKUboGiJ8x_sQ4+sjndpI%_-@fgFpR|@Vym~My7!V7!u)xh|c(K2Gq+7&dTobqXG-IM({TDT6h{%}*&l=qnB-TWnA!T0y~5h{=NBVN@b zPg=*y$EJE_m$L`t#qe%9cqbw>iu2&c^2&((H!7N(V^0ceQV;Vh{iru_l(^ZT>Qs4p zdS#hKP9{x(FaOG*mx~RXH_w_ZFFUg5SclbN`BkjRCnC+U&uGJ1TZY8 z9M88*8E{;w$T(6PJkxq`#l{`$Qj;Tq$c6rc^K=340Y-RJ?>_9Ota_nl)>p zG5BZ@`KtF-aNScaO-(asw&0IYNZMd$b~Pfhx6Cv@OFI8r2Q`a*SYQKJ+1LEn+h%Wl zUCG>5u&v?Xp14h4#w4Da_=qZR*Z49^>u_ajP^X1MmHa6$!Ao9jm$ugoOf91`-FA^q zMt3mb9beg4@HqQk{!+ETc1Fc51Nob0BgebK>c$c(N2*WHPu{+}(2%n3GFK>@j@RgK zGiP&7hjk5nZf&)>4xE=Gp5IJLuGwFc=~gaYAfautg+CzRu##ju1C)+#iZ{WCL;na%ZzfF)R$a#g7NO^JDj6A;?pvvrPT(qSK=1B zO}-|o6?pfaZQIB2`oi7Yw>iwXyB*r5?o(;n{9H8dpK~-y$T?c&%qX_>oXmGV%xn#A z;d*$v@SDlpdGI;xSG#0Um)AI(Y5XV4NQNb+&AD6m?=yIH+AG^4!#Z}c2+ zIR2AA`2_L-Z>~4m#FlKft#z!@ZS~8;L3DzGPSr2V zM&>T8+vZg*P&PE#JM&ZHK&I((Y8k%3yyn%oAlAUdfOFNCMq63yvVTDR0b(7 z0|QgAWjEzsPCVR5rsQnN)zX$`D|ooH;Dz^{u*;9g+vVHtbEx`6DZl%$WihfMC3ZIJ zPd+ay39*WoBMg?(aWC`Rw-XAnXxsnlnzFvi^xClLO?KiS-}l=B-=E z&Wx-e>ENkjVX+b7nG~`ENW>5knQC@oSB-zrS|}}W>UvS02w7k+9@NQA;%v7wk{**A+bfX>O|mB8G%T7 zJtW&ic+0YOfaY&>snaRVs35yz1iGIVbK{*vD3{p%fB{w1Hj(uas&aQ>ADDP~P{XgI z!-(i;gB^7T7C_J%q+ix)AR^NEojZuWYYCQ-RAyKZDIK~dWEu$jR+P{i|NRHsk2ooEDE%=6a82*PYh=o z?n{SZy-?23=WeOanN^&h;?xEt;puXuH}wHkrX%kCG$ zV?*(_zqeJ8_0&)4@vk^ER2J@B z6a#@qsv8jzuVBNQnin>#neE%PcuG}hOL7m(x^{y;tj4m>#gjKT^hBmMkjKXJASuLK z&!(%y{fxPJ&y-81Sn5lUan8Uqvtb~v?#gw8J>Sve&QKox4O8FIw!Gl6_WTd9LDa*h=1;xLo>ulSfJ#A~}@nbDiIm~|IneB?Lm++I?Y(6<>#;x!d z+nq+qvuoewrg+L=ChBR1ZIM}=wGG?DyYy=PuXi-YT(pYO7yWfuo<60X6v<&6EIv!C za)ZcNeET=W1g!U8mjFz>| z3sMm`J0^>00@W`@x8@0t8A=BJ^x$A&PF{NLbNDY3QUgN+*bRtu7-0fzXB4Xw6c+YX z`rX5V?RF#DNUl?F`Ws9Av&MLhCN3*;fr+hRjOQqII6mJw${d+XjF0c0aji%%O_a^k zrkkz4C?I%vF=4lS^Ba)!OWgQ8ctkZBM#7=|i^?#i!89lPh&-Cc=XQLb5^gPRxor&t)FJqo+ zma|6kobgY-#}@U6?|968;wWh%SQMh2fyyJ$;S34a->f-vZb{ zAu4*ZE3|e0WSz<{8s1Z{@IWO$A^PoP)r}PG1&6`6n$KsBeNm@ErVC(BUE`uj&YIg> z?RKtvZ@mfF)Sn_J%5oEKe-ECW74&~3)-~SXUM{KOeB;#L7RlFK}T!{~dCK z8{nmpc<^+WLc$L7UwKitZ{K+Ez}WgzZ*T8A$LDr`+!yvAE(}9~;H&2;WDB%;qjuvx zE9Fb5Kgg%u&^)zn{d(_bTg|TQ5fPkf*v@EZ`EeoU;y-uIBP9j!3V6^xlzYr;Q+^23JXy5&mr$`Or2C(ao9e2ig6gL3<3|uZ;gZGB5 zi0Uj6G@m>5?4+O|Q_SC2X*AgK_hs4muv#IVtAg_s%y@~eoQ*H>huJr;)3MY1vtwlCXDeoMiR$q~FN;Q7HuKZ>l>;fLq zS68S1Zth;%$ci2lkku}Zcih!cTDT2ERoM2uWPm}n4^kW7&Z0~HGwgxb>F=ND2vAmU zGd3EEc|e3eu#TySNuan?D=@DlNO6zqN{J)uSTHTnWG9W(Dk$j=r7Z1L}myA1ytqU}o|>biID-erBU zi8Xv)b*g(6LZCDofKk51BX`5Rc`Wg(93;-$8Ot} z8wksi%(E@x6mnfeg~_o!9XANcC@;|$orEzgul^!z*vl}tz^sh)55IGkIH(YpPYuZ-Bsw~w z2xNj-f%7ye!Oso)r!cO^&}0Gfkb%q{3a;O~p_!@cz!ts_36nhekZBw&wMYI&*x0fl zX>VmOXe{SI&}^4|hdOQ=j_)Vux=M)FDDlL5Irg%k;;;>JCSrsH-D(_wz7;(Wk>oML zA{d6u98W&1xiz;@P_T!*EGxNm>&-ky)LN?leDOpEKwXpdpRYh+;mm)3B9!i{5OBqM z@m$6BJGkGb8T)(ZoOT^WcCG{wP2rt8Z-GyoSDTFw1P5JFGDnBK0_aSaaNpHIZdjk3q{#RWIqN5I? zJDlYbM3*N#Dv_!Aq+(g^LF*HdOz^}}5FG&VeEx-{cec!penJ5F_Os9*fEu%7E{cDi8USJ<2| zUy+8-3%|1?<0ZfB(Z&|t`k}=A3ZbP!pZj@5^Q*c`oB6}ydiU5iRY}A`;rhrE?N^fZ zD_iEEcZ-$&4*4g~go+^hNJBZq&xx*kg?I)-z;A2&~mWEn@z1| zvC(SPF)5ETIsAU)Z~?jX3*Pfcb!y(cfu$@}d1WQ46zi6BzV`fcNcM>37mGXuP&ha^ zh}lc;v_tmMc#s1S*KpO5N6c7<3^>;C}c)NB4c&@tpu^DwdFC`32f_%b5ZmQqRTq8w)!_}MwWx$K0_L9$IhL*VJ!{|F;iqwWKlv^ z{pQ`fHCU_()?FjYc5ckI86mBipZ=g*AHDm7EM7hhRw&mz9>8&HW!=1+;#tg*#yKJkU-UIc z!n-jQY_Mi%OIzXz==ewcgh=Sxls?o=ini|d_UTfvf?xU-I2>4weahLi(MgiS={)1s zx@Sub78Ynek(1>E_ei^t5{?My|1IXOT%pg?W{ z`^afy0|ToVT#-IzxYI!7F~squkoE@k1;0%Nx#N9vf>OuUb}bN>&p3C~x$Ai9Be_$S zmV7f=8_paomDwCD{SH$+WN}=54wF*F??*n3g#VV5L`)%jzUJ1ZzHdJ>+sF2Ie1Yb( z<*(T>O0?^6a>vCF2mK>7)YZF*;~UVvJBc+o16V|Nf<(IR$I-VZQ7E*|uJk73#oYq3K3j|(}AP!0Q8Jy!Cs{*!!I3x z>4(+HVmJTZ8Ez5&O6|0;pYRWTU0=V982miK{qc_|7>GPEh-H(c;H~`7@YjvkO;wjl zzlUCd+A*?SHQJ{U1}QaUtN;7Cu_yX(xP;N=C1_i&|Nhg>w&Qs?jDS6zK3z|OI#vs} zgc&U=#bqS4#<6SZmB0u7oul5>Q@gAiuYnp!=LJ_NztPdrcZJB?uN6KZ_Gb97dItM( zimM2`L}LQaD@1mBfvelzI?EU*{e%I=3KE%U%0_0U z!NjGW`o?EtTb&tKb#*u?{`xBuIz|bB-t^F=c8ISJ z5QPTV2E|yGCm(90T8t`iTL(WTe_+jT&pUg}ssNrfdXZx=hg=mMZiY=5*HQ`!{kv%t z<%iArV3IjYYmfu{`f^|6=_o;hbpL*m31EFHiYK=g+Z-V|2!v$!9$;O zb0y&@2YEmu@=ZEO*RIiqD$ZLW`xYYuW9Txmq!uBH;Xob;*i-T`h*NZLT|)J4;}Vq_ zvO+%^VTB?x@BNyzq3P7KlI*dYt*Idsf1t0qx2p+R>om0eb6`~Dcq9i_yI$w}s?I~P zO@HyA`q7Wy&xLPDetN;XcTfEme)`S)uh-8g@T(p<%4X1HetfmurSX1D?oi5xE;g&} zG_yd()oR=1`TXhVb!P1Tr_(CAaC&>^2*LA$F-<;Ls_TtsjHaD6&kx?mH*@kNzlzLv z+Q^2lr(ygxz;>EH%paLtj>m#4(EufGoQ`Xz8r`F8(yAxbk;1LkY=Qe`^YTMct@A-yxMBb}BhCHROQpPsl0xJ~Xc5(GLr<9eal$otB=77~11@MEnx{ zbxqgQ)b!}cQlxQxL1c`%C>{3F*4EYp=z_8B-S6Ko;&P-(`U^KC4VXbgBB~qh;;$^8 zKU9*K`6^Ndpk8j>82@epKcU}Rjg#1zoW!G*^LM@u4ERRkFbgwK6c%2V(b8`9mSO7A zu99EoPYzrvFe21RLO{cUycHEyji6QzuZJnu7sYTE2A*FT$eubSF2rNz6wbZ$q(?XZ zebQ6>EH+0B7TE!AAVXbMu^kXahfZ==DgQW2nclIJocAvsYaqO2Az@)EOg3KE6sW%s z7)@#M_l3brrCkDsv!p(5EEGB7?EY!&(V_jPIYUlAhyJ`{nB!acqa&%finc=xF@i5& z#znH>Yd6U%fUI-meWtzDnT~L_HbVT1+tf`g0pY^HWw>$t+q03ow6plnY8~x+kNQInBL%XlQ8v8%CAMI@A1ije`dhRQ#Dq zs(^z|zjS~}7jRm^c;N_1rOp=^8MzK65Q%n3dS1r?pL4pJ+1PWzi7e~3Tx)jM{)Qfh zYr~u6ViHZc$(9h{HqR-1pY%8@s7eCj_BeE=S739+Bf+{j_%80HdnYD{(hT#0q|P=^ zqI#GFG5o@pyOz|lei&X9>qiR7%yh5oncWGJ6C`>5=}QPTI3ynsVj%Es_~R*Ofu7qD zgUQ(Rc=1mq?y%RL$P^z;Kn6k{zlu(334kDCab-H8(tAv@VHu9}xTV;ZbxfdPSrZS< z2#&yBe2dH(qOzrW{pL+S9@ll_I-cazjFNjVuFR1z0yozN_;j$qs>AcP=!ZBJy2Jx_ zU&2SkYdY+Dle1cuh->)OcE9z-?r@6%4|NXZxy+u$gJIs*z` z*zSFhz!ke>hNPVH*hwc&at_zk%eR0m^v>~9kr5gLdgH01&$V#WhuH9i9FMQglqDJR zyJ+sF19mvR;p^ak^B7ve=15*qhDi8FghWl~x|5|V#f5w+X1;FxF)|fE0`FOM zx)yL!6grQsq^;h!W%K5MdBynICXyaJ{IZlX3(XGq6|Cz$P7j$s?hxnK6U1^SPR0MQ zuCB7a{%S;%T$?75+l*WI`qyr5d6hPrd+*BZXdJFFV*K%_n2ULx+GFPApAu=Iwev+I z-2B~>G;A4d`bdeg<`oU<(7+e-F5*cuRObL_+gyp7F?4m6McKuO<4t@{Nas`eH#h+Q zc;^T(LZuG5d`9*-Nl_w;fKNBc_TL!huRzrQhTizMs3 zd^Wi>jqy8SpoKqf?B}d(xRfNps{$|r!C&s;;40Un#iO&FTZ$IR*%plA3Izci?5`u# zOp*LE%WY^5w7-#|;N^n+WN{BH9cJpIP1P6n9A!5^64{49q%i6fRrdRpJBXnstCKhi_G;WDnNUF~Dhld% zSPYIj6t%~pRU$mqlPF61@%j4UGn$so?6rjPcEBIzU3TdDHvp@NZ?9xU9|-Q2uv~Mm z^jdlrWR0g_jdyHkgy9WS8B$Y~oEZHxs2Ae~P-FS)m8$MfQ=%Jb$@q#O@CC(M4_q>n zvq$kmm9F}}P`UJuYa0%GHqDZyH2+^qNo0jsMoS%L%a`m=;Xk3D-cV$Hk2ow5(t?XT zzgXSNzNty#RcG;r8+`$;kd2b`aOQ@Y*iJZzd})Y1WnDmg;Uqu52P~><4^qS!0WT=Q zT-&M!9Q6#U0Yv-+v_XMyslmq)tF%Yw8Fh9K+(zo^bo=)0NjOYVmmg=uycZJJDi6kE zz%FqAxn#LeHH8vo2U8{)Zn7v{aU*QfcZL2WH)x%VUpe}QM@`p!ki3jqmdfh=BVTa? zo8!0>XxuU#y!zry%}tSNiMzWmSPaU^n^gv6&aI!y*!33AUJA$?lD53ZB{2+-Zk832 zF-(91aJqu!_jqTK%E*_uF?A@WIOY|0?_P7i-fzii5araRqj!hS9>5+YGF4vPA2!^V zKBt)W2AvWY=&X5l`#-t3x+t4?lu=+aPJ#)t|BiW-qV6-<4JKYVj~UzGlw2uE=S}S$Id3+cKONNR80_u zy9nwy*8B_C>cq%KpmEKw|7GY&tObe-iV?Dl!a74bv!A=wwX}$L6^+l=IwF&Cu|(|b zRPU=d4;0qY8>@!!D-`aVQ0qPN-+64-v97nv038xHHylCK%6s=xe~r0hy!jTxBnor? z$V~_Cl#wTjNUx$3jK)C-L1P*%B)PFmke07>f+rRUCFH2eDE&iRo2Oye5&;ekss-2u zr8`6hLX0j7$0jw{7y=HT%%ieURWzrctV4zT3L>&gr5ASk>4NdI@6&K3e&-C!L| zT9q)Gqw#v6aK#Za#Z}W|n!;uayPuCeYu|gCN*v%~@V1gWxFfM333ZkKCna0}~4sQRk~_FXfwpE$`kg^W*H{&1X^gzUo}@)N()5?Xbkf z#3P4cJ~9W?SU&kT?d~fZiIK!cMtbKUR>dkG~0xJnn5|l)R>hm zEG&Fi_#cLN_!qKSeAhV8d%Py+@Qw8GN~L6+`MPL%7qb)(uIWn%6iEgpx2)t}Lk>3o2dHz1l z)a9#s;<;z=#~FeH$o_*7%?R_Wp4c1D2`ed{itPl_t6R2-Ui;K38!%Dgx@pVz^U|^K zzk%kh{yV@lKSmy zgJrqTGE!&1e7X0Y^f_&y_G{oiT96fKrni)-x*#WYKtA^kMg>!FPtS7ysM4NRkW zkh`McI8MyL^_t(ehMHFNO{`KV6I6 z{}o%E>FgVsz!(EhX424+n<%dES;jzYr?E~SK78o)@#9h1OXF{jTgJRXXZexb7?V*N z31092W@QLo(F}qf)FU8hB;wa0racjtek1`9GY<+SKT~dEt^^FWxMLm;Z{EbO5q+u+ zZ=V5*ojOQ3C8%^jU)|6vkqKs-mq}DoHadJ(vN{i6ra9>CK;Um&PEh}483g#JY8 z#nBi542~J_=Dc_FCL3(L@qE#8<9%i~bTO9mDLc?|wf}x;T79I7Sz^IhwrKFf9Ex%4 zV#$OYttHnMcem&G%i+6JK*YO4NE!gV(4O1}3MG22H04FYFqu1pzBs|=$#E37gMbbN zb~uKrQG57yP0%GdZrsJnnk+y%62MPDEZGIY%+3MF^KW;5<(&=4G(XPmSH8wFx*R}} zfa}6G&z}sWzZpSHmx!@#pPA|vyufb4dO;!s>PtvKY?+4|tL@j@I-cU^ zNVERAz7;x8H~j}6S4|-g?_acB)ocquVjM-Q4NKrBCE}*QWy`YrBmDb|+l80Erv~EpNE+Zll*`{(#C10$&k_Fv4|7OA`aD&#L{|RgCj_8g7%?yn#8=T#x&@Am2VMnq5J!@qwQM3j36G+JF3cGYuZb)MLQ=8n-rP;e4%V z=96*oqM>7+L@oUdW9ZX(Mht=NH8~n}>fUq@nbp-AIjZ(rAh3EH)u2SX`TbX=&z17{YLx`6*DQ>>E z;g@#9>`mg}Ei?;>za~%!q>k}0!@`GZG7VNs*)&SqjB_$|rZ7NK5%$?+bit{UF;IeB z#}r5;zBiBI%<2OeVUCbIP)qz6JCIhnVfY6$PQv8?VOES)T9Dy zf`MoG;zHMAgy=WCt;4r^=_5u)Z-}J$WKYFz7@rP5DiCZ+JWj8Ml{cJ>Q0f=CN#}u^ z!Su?9xIhwi;Fe6|g;X#Ln3Cby#~@0DMxFB5ol5|GfyiR&A0J}>R34P>0m7`!LiGx6!kMbHw)k%NT-8TMh#8GyBe!q+do1 z2NTTkG`_!^#$P_&DH)!0h+2y$4-JJSZEfgl>;LrkJdR7aY;_-muS~O7LGLCAj~CA# zaPkEt^^N)GP7!X&Mx6)Ot?x;=Z+rFX)o(!HUywjOM#GEnsjl-#1!2#I-@0{V$l1Kz z6M5&cf-qdDU#+q8Cv*R&kZ?lscr49;Rlg|KefD^$!ffk1M&DJ@9!0qiFtxoa%@wqd z``KK4VE+TN0LM-ux7c&>&z)Qi+{=BaBz_>7xeHQ|j>62*h^sk8o#XEu_wLR6;>4bO z#MIL;3`OQ0sh8UsLF^L9nO76pi9^~j&qfW|3Sk`Ksei{A+c=Ga<}^wK3TacJ1Q^d$ ztw&TMzO1X~-2qhyZQNLO(Ju^jn8Pd1W0~kMIA$zjnf}H%GQ|7)`7aYxd6R|RjVg5h zg%k-9jwC^&U8S+)Ac@>|Ki3BMme~D`A=k(vCXfgK+Wlg4s26-AE4FN7+lCFJCd-+w zE}z{#cAZ;7P}1);{EQ9EsYehdg;vp19Po+)&;B63h)R#_Pd3;TO46n2Z{IYuwJp%o zxH#4p0j2>lvYnmi(%G|zD!_mG)4$i0Yti6_*KdW z$t8bKF(HoW#ok>+Qk) zSrwfydDrs6mX;SrLZ5wO%0$|QHRIP05y+kYiWr)oy$CRF*wt}QJZtBXF76G>#*L`~ z&+ysHdD1(o3KI~RcgG%ayQy9;Yv>(pCfr!$7utj#@-S6aU z@Q5S&%nO5cQ8ZpC`u!I!LIbD&NTyn&E(!3Zh_E+6oPXMJmc%BQDnG``clsz2e((Ld zaY5SHmm)K$2aXz8AS;U-2r6XR>rm_mi&>!*JBDhQ51%)fPC1H#1R#D~msYGG0)bxx z&U!RQ{HoLs=;#nr@~3_JfdT4vFpX?5%>aj#*yY-nE;yr^Ir30XQ0g&lB>iMm>2KkW zc9RIw8YyThkk0}e7*8TDME3?{mTe=Jc&3T z{-E^8aUL^V*SfF(FWMuQSXsmO^`n&if-w07Y5p0scnJCjTofMCK%l8e>rkY4mNjs{ zrb!?L5Y|ekwPL{SP%v!H{{yZgL+1;{k+d8UK9!WwA4l?D^*Fo(7ek~DFYz8dSPERS zu)$M867li)KINZV^31}GRNj7h1_|_r@r~19GPjc63W(b>G1`R}hh7rD(dgY5)U~yj zcVpwxGYyNgP24VH+ntnRf6W|NT(kQspR4Pep8|NIpCVk3bF93AdjabOrPW}RC4V(aG%>xG*LxcyMi;fpw+(JQTW|Ooumlx}Xeb=gP262f;iKaP% zG7&dWTQwwm*hh1rPffMA1;}JAZh|s;_7vO}M79&1%hgnQSU*T29YL)6wWg`!MdGSt zEj*Unhh~|bhCaSCe-es>O{c;mHS0tP)u6ZaSB;J)e z8#x{y93Z*FbN)lDx`qZ-H%6WYfYGMp+Io0+6pUPTDS6AfMGLE`YfF2`BvP1VJ~a_8 zidl;|89NZT{DotIGXj1-v())@c)0>NXs*#+aG(i&pQ4Lw1w_z`2Gm>R4UWGB1LCQ)6r_foB7xNKwckxlcnV|DkW&hA|ihj8*U)0??Z4P#vZ zV?n~^BIP0J0DuIQb!E;T2nFwO7wPaVHSX!+N2@w6R06^a2mR}ir$E9>W;U6*7n7}~# zxI@SxeVwlJE8Ihcy!~vm*gBbraqxobB8J-Yx8XfRFIjH7hvSe{lh-hkb2!}v4Ga-) zVZp=RFg?rYm>@x9(0 zd5@Nw&AyZLY9iagX+URsmD|gqxz6$4`W2g^%TQ7iS{5GPMhS^?B_huLT}07%; z{)aS0wg(z`apzTKFAkRBNmk3+hX*WusrMz)MoPLGXK=+f&?%#m1Zu^F-sf^+SI_Nt zD5{?Q@5@_%mt=^ObVUn&Ef9kBXm9lo44{fx0AyEjfZ$O2!2<_3}GYNAZ7%Mz5V4CW5woU_QT%a(BZ>ArrfZXCbt*=pBoUB(ePM?bh_YEkB3pX|ke|NUZ2yfUl2NT(H%;o6H%w0Y6sp`*aa z+$O#rX_oAg!T?rQ78_{0*enPytX_bxBM{8fYp2n{CV(5Mw!FaB0M@~0y;D^+K9r25 z;Y&SDNY!vp`!hQ-<$Dg&3?)7YMjU|%4(tv_mk!nPQF2~sh;%?~{xJM;Kzz`~|4 zX`R-vvRYIAbK@E7veT@NO5&XV^DTCfR#fV`W?e*QCq5nm_0I;YQG}>oRA@_Yta{=j zn*l{DQmiNW$pbUIiC*Mcpe(RdiqQ+mKmb?Q06==22e2-X{olW3 zcSytJ>G2#ts0Q9ZmUQ~~YJ{>Az5~zBb%nxe_tE%j7__ZGWi?6&{CRdDW|%ko_G09gt{ zT?0tZ29Ta)WR8+k2TY$jG^Z+ee~qRoL)8Y>smK3i*}&R_25suAn2qxL{{8y~`@V~^ zKffw1YG8>{fCQWV@4s^vkpze)Diu`QOjnA~FouDptymqITKc~%d6I>P`$hn4Yt|w-Gcn%pst@ zVEcb9YH+)F zeuL?omiZf4*h_%64d9(nXp4f$9>7emS|cNJnbZHS08zB6D1`J)T-6*i@(_A}F8WvP zMEkrOsN-qWpA>^g-%k6lq&n4rVnb)JVv}2_7_cR0fM#jU8v@yPrDo_&B znNCZR63ChhljO1W(1a#f3=zXbb*^Wy5vv6S&vvl7LuH4Pti}r8A4hV63|ax4xrh4W z&vigZSc*D8!oKB~E`$Jt?4A2Xgai#%lN=siCFy808u0X}eb!ojpo0QPNE>H1KXcl?evFcd&RNeQB2t zg7aO4E4zRui5>d_oT(Q!<2y}axR?26^3U18{Bplt9znMNVZkO4Gd20-fhg1u8Q=6vh+ z?W3Y&?BPEWTvoaNT@;P2m15q)?`MFoOI)7re|K^gGZPZHVMI~=&V(H1+eibnMO?gj8P48=xb3dM#@u7tgpnLJz-uW<{rr&4XRSXbuY8=_o5UQK$TXrl>Y2_nTq zyM8B@STz_9pqPu2C0?-RG2B`iy}P+udq=)aPgB&!_>}c1V=2$kg%{y-$Ujx;vBZFYlc^gJUUCA*WuvyGfDZv~ zHyNivm!uDeej=Ke{r&x!4n2Fx9S;f)UJBnh*4HSyxr`NSuqNvT(akIg7T~zElqwCm zLZ&KPv(2?6+XN+aWnambAuH22|AYzJ4Y|Kbwh@Urd&*{U@r~QIg%J=Ika8H7Fw!t< z9Ms2*FAJk1UD@M6*=}CTA2 z@cbfE<(?J=d^{IK_qXqeS~Uk(S80}Bw-$ljI^Sbw<b@e$b#a47fT z;7LTrM4)p}k8cw15^Rs~sHpwxRt4;nOYqZP>RbS&1G%y>n~=|tn)PA;S4`TthE#UC z`Qg|_j-WJYj*uZ13b^kBRZ4(+bpDT9!u2vWy>O)$isGAKd180|T>MkIm|^IIqR-x0 zDDVLpS9u#Fm*X^|j}BA?BKg}GtObJtST&PHOfkf0HV6Y>-^mtr5(8N{{;Y&B4XIhs zdkx)q@ZRmz)0l~H!w@@#u+K;@b}}YVy%yl*-9{nu|||)6+kS z3ZUzOoW8XS1Gyu^J zHYny~4Mg@aMP}jfHJpk%hBSI4+ty1o16m+`3Ji(bk?{D;_S0Su4@K=Kw}5Wl1Kq`O zC?Tp50aJ5CT~o7{BqZ2iq_a)J42hRGF$k}l46lJqW7JxZ zBkxPTghJKi8RC`_b^JqJOs&H=QxFID03c5@oLYE6%99TymjpR&!xGwd@LEOtXv~Bz{1B%FuoY9{BU@&&da=KjxLizllh5}no9KhmAyVp?d3zG z3FkL2Fsk>lXNn#8fZUt$zBgy)c1D__PMO}zWfnWPKXORd1!>ix&$~gOOmgcwm(i<> zi{%YoDpL>N8hC z9^+tNb-!i0O4v7uiqef6CDoTk*pnJ(pfqE5ZasvR&~4?73cE%Ntxk=7DYzc(_Ujy> z_V*K&RCxmbYieCdx1~PZ@Fb$54H=wO9Na(7G=uCFES9y590#>L`DHzE52}>A4L!dkDL4kOBo;-}_yP zZW7_V*kRT%cS}fU``Mcjr(TZRLb$E-hZ_|e@2=k^lp@|;hSEAO?WL`5h3|DVJK!hB z9xj7o_}2xkNtc875@pX{Ip{devhZMHIvWyKkJ~p^N?wk0(Y*x0ACLB14c^6OM)pel z83K^<1B~+iuCmQx>eBINACeC?1s+&h94?$wV-chQo+}S}5b(uQL$6kPeHaqL$POwD zGH>Go9`6RbeUJO4X>8k1ls$Xl`}~DRwD#KMEzJ0*eMT(g8$Oj}P)d{KG6b3Kwx2z$ zJ6dsW`H!h6+mhp@Q5hv&_0l7A(|y}M{ivrbd!^W6yfbkOgTiuZ_5$s*g{}9G9B}qn zfgel<%R~6)_1kTx=d_{1Q@Gjj*KlDniB5u2Y*VLq!+np>&y*N0lNKHdd_bN=i2;~R zA6Cs*lyYIYTPS2t;uBpZlXZYnLg3$rKHU)JPcSL78ujveVc~?TnONsGYy9fEv}`i| ziPlcaR7q&%$hREnBJPZ?c#TK5e9X3`vk6eu34RJ!4zI3zK=aDQ-J@(xj&p!|=MI|H zmwoL$I%9Mm)CGUA-ms;nY;5LR`vYo6hR%x$DO)VoDJ*?RqqIKn_C8CU^k5%Bfdm?w z+kA6XV^Ud+4EfapIlC~23=#obSnM^kbCah+?0}Wc7y9+%kIyqAn|g zgD3B=cE0buCQ}_6O0Blst(&JRXOkH)HoZ#>>Ow?H45QRH+1S-J9L;EK{bJLK+1S`@ zzbox>UcrHfrG-^=ESx33T4%4%i;ipj-d?_4=ge}J)di|o9Q(g3tT}C1%^L113Y|Ti zjv$$=UzOw`omW{|>A1Mh4A)F%0KsZNl8R?S2yv2Uo3A4+AnGVt5RgU%w?yT@k+`4q z(DK4S0=O0l0>J-F;I$0CxK_t#;Ns@7GN_nVjG?IBFT$i^f(3$wnS9aiZ$2`r3Njf6 zwveafy+_lG+OK{&cdOm5!))vhoIhWSem~qhbL%E=(Gv+y77?xy7u`{)Nu9W}x|O>8 z?q(GYF@^&S#frgZKrtJ;BeaKmW`6(|#vpw4m|rxt^eg^F)=e{rvVq4?(z?!$)&Nge z!r-nb+TmYp?0(@WqQH7}E}#v&7A!&CL9+p%J1j`?9If2J#{#{Un^cz#^4}Oy3=kZd zFfp3i8UXRD)Ir)K4g+AUd2)wW?826Jv!M8QmVIUE-brJ!$A=Gp3~LbD!(J00X{Bb* z&JYX%B8UcX?^^4z)2qeOY#FtrhDO;rLym%jhLRyCi)k}oi%#DhneLhTq3+l=HBX(lBiWyvRI1T!&yieH8RXmZ zA&CQwL6A0ZO;GV5{XC>*Vij(OCSezo=M-&9;0-Lfb+Vg}tSZcRl^av|^9R`K|IE3>jT7N9Y(b*Q|a^donXf z@{D~(%^!K`Wx~cQgI>t+IXB*yfes%B$CWLcr?QnA_`YclWY6{nHa6Nw?oU(#Drsc<kqoe`e&6AE_EPj z{lSyFW4@z=QljkTwT9lAJ-3XK>C?$TV?lw$U;7iG8{YhY%pQXlRc*<5}KG6RD&Ay|Hy{*WsIzasKKmU!-aJ zSKl^SF4lM?8bC?ArP=ZFu7e*0^D|X<9>v-Jg5x~bOQ3e=k-m}{77QoVpvJ8seO0vP zNRvewqB)>hlnpqNYJfb)Oz0niIgSo?j-?Lj9sL1C`{zA=A}w>nO~F9U(F)lQC6*Mi zv&a4ahDhHot}@CS%I$?Cl~v{T*Geb`JTzMI>$NVnK`#`y zWQFtE6}vJ&l}*yIb76hfTih7TtB1+F-Xy~VR3>Y&>FN>%p#I@OSDUG zplQq66|r3}bHzklSISdd4m!ZhqZGXfrsE#rTw&JXpDQ)?g!|iuu~bmkc~#P`9XiN1 z^<(RFaPgV=P1Qtt!-0g1;jQX6)y!K=QDjNE7kR>?1+}y1+N-1WL>p&2r`BMl$frxXVc6o zB8h%(l8;iea6+Wqamfgic>yQ!67sjUpO zmJhTp^13$GT6p>TrnUyBR_g3?wQYaoqANZ1FsV|jo1UF<`R{T^!A6HqcFUosTa+Cn z@szSfgZU;q`{t=1TQ<)^zi`8btt*NS_Vu7yzQBH-`Yh%g-&^f}^WW2MNzJqWzX#bK zH~$HG-dVCTwnU_Egax`Fesz#0KIGu~o%TLc9d(6$#SR+oecP=~mr-+9KC24=2Jwm} zR;eu9@64{hzb<)j_RH;6Wsfv&vWK-)j?C>T6O^ja2(N~uG~0m>w7gE8M#zP2(3jvG z@+!)U11}H!<4Bx0l$5bCs=Ux)J2`d1^ zGS)nW^>Nchv%bPT!ig)j-1M3^F!?W-L{W+gmrIH;`}4(G_Yk$s^(Je$yKyf zn0^0VYG!|hL^8?rurPpbg(>s7NRy00erp*H7M>@(QBi_nEc<;z1oNd^qvR`;J4@fe__Ea$WWii$eZq|E;F+w-OLUBS3n?*S`2$ z+9{a_aK_w`Id3-jmhhcO@_C}~S-b6WK&QzUUu=3qC8J>Ru$G9(g!RbmXY+InDi&%T zz2j|iX>SGnTY1Y>(G}&}8QE-i9lj?dHGE-@N+?~AqUFfdeG6->uH%}yES*^`C~uT0 z8A@IamS9Czn409Ty+bAUR>=SDGOXnZ$wAs?^c)K2hf`HL703`jF601d=bSvYZ{KpT zJNAo7JNB!Swyiur3qjkMbdA`(z0~&XIiD~xXIUU}a_*O7L4lf-&DD?Fa2|aBerDxL z%}|*QcO`ju7pS=`c!-I5<@;!?jb5?bxHLApLvY7E8PT*23JL{#l#<`S>noq_ylmQ( z<9_Ku@16~DF7IT1LRwU-m?P3fBeVUyEF)q@w%BhNUdQ?8_L~&czFo$o0L(;vp~-~Z z029~!_s*u90@PKW)c!^8BET8;4+|SNZfwMOGh{@(>INPGIYh{8ey-@r*%#5j`r0Md zn&?`BPo_32clru|(W%ua8dLAhh$FuS`{sWm1( z%UW!zOponz7E^w7z(*Yz^!jz~^P#fO&|(sN0FKCBovT-< zM?m-MEBQ5!^y=-V&&a}ou4sdJU}N+ZW%3VH#?UY$vUntX>P0rx)KHb#=kL$$+MscO zK0{RV`2ggAL}q`ifHG+4o{{c`30msaulPN;=BL?9CAxIeUsyHgfP8Y{jESj%NvmyZ zn(}6$*6ZCNOcfRke@+~FND{3JOd{S==RV7iznC)?6Xm`Q*hA@C>*=tbi~90kw4M{; zJb=wiWn|X^N7A?cgh@ogJEee4DZ?Audhk&612*H%CGDXaWKwc3Kj?klUMndSvXx&* zwxaHU?+IKs2KWKV76&RN8_6pibzBuWC2FA#ZnaAdAQMc*yjoh0J`pUgu4lZ5VnADc@ z#}?wvv)aSjQ}=X`mZ0^j6={SjlN$}ywo|zMna}RaU)}+_`N~vVgcK~vUi8#WP<0R# z7_bwcf5h3pLn{g3fAvTyQm1df;&W~3L5~*SOoFl-&sll;{0mlngQ_BpE|=XQ%&O=4 zL93XmxTLi{2z)U%(HTYWh+DVV3)}h6#>hJL;!&7_;X$N{P?qRom=l_Ig#DbB^S1Y< zmU!UL7-!b-?3KaphqfL&1q@dGbpD94i?oO{-{!bWbKKJV0Eg5LyHkq-ng{f$X4Fu# zDVA4X0mu{DGXePC-0L0`psHee-lg+e#lJ5Sb^jDclOsyvDIw%Qm^0Dqv$NZ^7JmyW znFy~MNYP|~*%Pw1>fXIC8lDCQd<sHmj0kflha%~G;eCZT>RqtcYnqEynpX%QW1UxmmKEy$F0jpZk25&+>l1zKYqZIf(}_1u&uHL@dTa^C48Es$qB}L?OH< zwzm&GulG(YG%Yux;7CV5KnPZex`s}uoJ@7=&sH0J4zEwVKwXHA;6=9ro)s!1Y!O|x zJ;10kbJrI5Usk|M>TPu@Th(!%Wa{>&Ky*_dI?v~r=bTc0{XT+ZQh*hZ!&9qyArwOu z6CXc12)>>?DrUsL^?n__1FHqr9o^zpmcRq}BGquHTWdTBFtFR$jLAg>_P@NFwg+T5 z4JOHA8mvwc&2|*GwuHM!Z4# zOQ9l(PE`y<=E=$>LClUOdZb^Q2gpF5QN`^1NyG~f_xex_Wb*wKJqoWT~ z(I3^v>UiVtRkEJQkXQ&dX2AlO&fY-oH)Tf@dI@~Y2MlT(e%a3Q^9K|}A^v{`MAm1s zZ5f*9U4@ZXwhXu+c_52a$Isj}Onaisn#MaesI$Fl+JaOD{!W#273i8^*1@0X;Q6N> z#dHS~1CJXck^~{$Et#XeHXi@sLh~Khj#@!4DAOmUCH6kt0wRe>>Poz;-zQxHBhWC| zy?b}vy=jnjq6_HRn6*TD^)n0XQ;ffduGx%hy8L@CZ6Qj5>}EDz1+Nqpd@$jVQlrT3 z%yLD5i(0JsD_7)K^Wd%r!3$V`V@{ngYf^(-b;KbICH3lQkTWQMu6mLJ#pNwGT7 zBML%y=H0}$P>!TpQ90kLXh>py{~l(Igy;_)IiUoM_~!r^VG|YbLX@=N4;Rz*O+EM@ zLc!Mjhf%Q0*wK0V3|kBZJw~F#+7jkCggO#X-)*9}#UU-`r_IMwl!Uwhz@$RG12uT+ zq1~91nuoT=icqzL!a*L2hA7XYrBYfJq{zw5gYuCcJp{-%Fy*M~6#qf$N05yE1$U_R znaxkG{+a7)ei;6$X*^0RzQknVAc1iOkcyd5CmZ%Yl;hEVp6uMC|4&G*&dD?3mr%)k zBueok_$TfVX%g89JvCV@pGa%7nxB)YbPM{?OI{pQK=qQ;hG=<`Czv=;8IDt+93bT* zJQPNIC!x~DKuek4Sn32LP2;iOLa|o;ub@~_$KD_Ma$TcK?!MPQYpcliZO}OAk6PEs z(DjG!Pm1Y$tfPGNdZzT0bAqmWi;HB8bb8?YvyA}Cam;h3mM%KOZza~oU(orarp_mK z?)6j&YMKl}bCsbVZTG-_$g??zfB0e7<2CX9P@D!pn^gcSk8@+m@PUZc-l34%GKgU6 zPDG0rcL$N@e{&WIL?9`OPckDck=Phi58~?8$-9frag4LH6`Dm*PO_*`)7Mc~*NmDG zTZ`9kiMINwdA!Masvp4bB6VUYCq+T>b+k;tts#BrzIz9gvs{4#0jU?&Ya#C?$0j7u z&c*LOcrL!b|KlPSifGeNwyjRFxnKH{%b9?jO{7yyWScJ!`if;HYO1Z^CGhrMBKg09 zjL3GU-FU4h$9L;(2Y@0K8rOCO4lECF?%?w$shD7~_O56bitkV93)&Ha?K#q2IGQ|@ zSbG*hqqGPVXEHIetnOQ#xKJJ2Jcz^_3Y;{gT!r0nDM$i`r(f2=gFqM5J@;M`-Olt+ zutA!N#2fr3>@-Z$UrkCM(&??4D6<1NdFSrAq$Jf#@6Z_6;5=BtJsTK!u%Yw2Y)>={ z0RVUix--)?Vyj@=haF|2X&xlL?r5RKNsg8sm$PB#)*s~MW6M%(8ba=>w7eTVdh`jC zywnw7c}|@?d45}$cD&Tlo#$&d*uArhU7CBJGBAd9GCrlF8UWs;UpGDEF^uu_+-@&ArCI?>LUDEO_ z?oe83o1pT7@Y^vBqkNvF`mEn?bKLn_P0G`N=l#YPDQ_u1tj znALS}$Bj1BU6~zdjD78U&EEu!Oijg6TZM^nws?1JKuTK}2nOG#it0_3m90$EteqA( zCSXsQ>WJpFnD-ZL$Ba_A?}J^hHhA;4wQdpPuv1-@$1QCEG*;#CB|>L*$Yvda7l9DYSbw#(>%V|Dy3h^Q z;M~n}!SE!`XO{n|KVw5_q*hVw1?G10i$Nj_rSjRBTd8ZzJ>K;S`j1LM2UUTSXqGAJ zg<^UYYMeP&XR4@2Q4KQeP_(@1q*IdfuKAgSz z7u*MSw7xz=Z^9#C%Vv#;?^^h94hh1g-}wB7yF3(Rv@6S@NYy0Y(?hnr71i`dX?N`T zEkT`H5kCKFi;@YfBZTb16d#OREj%Lh6pGKrK2X1$;3alIlNv6&5^Vpw8z;UeZ6|ug zEQij7bddcfRP7ZNiCr~d#wKFMq9F7wLTFc_BLWI+tP%(Xib-9HEr>0nEkZ8zyZMT2biGU?^^U^Wp(L>v`d~Pv^`P5fO~|bmgL|)-Rgv>Lm78 z{cZUH`fuf~r7b^}^5e)QMC+4Y?UD7g*s^i#ze9Y+j5wJCsu&5_fV#upA_JF&ig}hQ zu&7YyCiIv-Tmp0mnFoP{9Twk(l9(oHOES$7>{5gS6?nRc>K;M%>7S9OLn~1-k0LVG zk2t zT`BCtSlI+zFM05;gB4i(ZdVe-rKAi=;&dLIst$jiTnm)+Ed5N&qrF7l0i>7*2lb;U z_o{rCTvBUgiKgb|AIsMTmq76&`fiE~BqL@{H>XnKgw*l{Bugnss`19UT3TBE7d&uW z@attYIapW-8~aTp{kG=U^H)nm97;KQ05RO@4Y_;PuFJzXth?vKCMHsplTYrNROXrR z-~?m+8klFYzR;5oo18gQF*km*N4BiKsS(+`7iy%Vz2ImdiJlWlxFBi=u4nsXxHJ%( zXPCMb{#_pZK4Sy(>7WM5SxlI*dj3| zv0B&~evO&jj8ITO8lwX)#?GWZvMNI1$yd4TVrnJ+$XH|UBK)?- zlV9I9BDy5Kd`HRz7hB|plyG`|#h&lgro#%*!z}R=<8O7CHxEuZMWv1Dcj&YN()odv zkww7C+UxDCVcl&=885F}HuW(%Sx8xe5O&ZL=yslH%rWTM2k0FrSkfi@@^wV0_tmi> z#V=s4lm|JdC(ZANUwsx;RXyK4&G8fhJ(5f4-?9`mIamkpI#Wm4=))&=q8C=% ze*t!|ttsWo1Z9i7g+z@4BgL!Ls{k37fb%uc3eVqqv|(pNrNJ&S(;EY+3hRz-h0nxEFJj`L^_9uCI!%xs#l!+8hK-FZ*4 ze$os`?}YqA9HQTG>W$OPMfYN0EJ@1NdFlo$Wg;c;sInxr)OHPM&(!T7EjkwEHnJ_D zj;|JX_o;0sX4vXo%nWnV@i;*DxhGc)~8;d0BSZdWO=7FBY4tCw$)j@_0nQly&E z5f^Wpx?>sMa2ZEeSC;{zcey^Ok2rnWz4+yMo5F-o56AiMHcS{m9dEVa!8emHGEt|o zmD}VlC>UWB*4$bjXn>dkaBiskPq<$cKDb{Aw@2!Y%1C}v31Dfg+qs)x-*x_`BGovh z^{=8-Te6+%V)MJy3*{B705Bd@@H;B+a?3B5Y>tz+3pk;*D%(2*sxFPV?m$daHL8-39sh*VZ z-I7!qCRMz>=<}1%e`;n?^GwFTbDtkD8Va0oVq!kQuzrj84Ft}0RxEWv3QN5Q>3M3) zVIHr2J^AY8G+M|%A+kPSP^3Zw>Z9vhQ_oc?EKq)lQWWfmdgpC`eI9L^7-zN?xd8$0 zLlRH~U}$!9@j7R-u}3YgI%1LWJ;o4?i_bE>9E-YlVK)#-U(MxY)FUCQe2J7UUMU+= z^GYY|Mul%`h%C;<&IclLL$5HQ9`mTto7G?C9=_=-#^yysJ#-#iaMs@gE-YpNX?E(Eud z`cKRGIuUfXqhC`rTaO&*h|?27p_D>oV)*1W3dP&iB!X?AW(6CqMV}iUalIAdXntvk zm$8hA3==3zsK8>Rx3L?>HJq(c#{G zg}!VE3qc-3%;eq)T8;?M0RZhIL+s7Lm4Nko233GbR86M=LAOpmq|+C44Gcu7Rtetx z49^BpJr@s}OS~_My^@CcHed2rA)y(eOx_QuKjZ}&Vt*$uIN~H0W{?fa9OSo_h_fg>rSlGmd@1!MUUMC^kKxPx@zcV3&ZPL2!SZX+dgf&?ne# z%@P?VwB<#?oI{l}UOzfwyit>gt6l2={uU91x%KAA&JfFvC{jiDQVwTTxM%j^U<^Lk zd}Of$Vo0e4{=s^Q)92vSl5PyiQ;Mh%J9BSB%nKE(wX^P1>zF}sApl8+(@=5IqKRJL zByjas3?Oh(>@*dMxj*x_Je9@_yREjiIXwDn{ubg3rV7uaZ?*sT^es!qPxU*$i}(6N z8CYqNF^3gp9m5*NJI#&kz>y6fp|wmxyLt7`B!~tj&tg^>szr#i@bQ>B{o(^b_>Pg< z-n?<6Amvi!DDr6UhRV0>dF5uIAaaw|TwK*qg7Q2+LnWi<5-9AyeC5I(Hu=E7{!<1> z@JCQW2dW+hrzybcNBf9YARk}EStr5fJN?Z>;;LTGT)sd;tl#t)`*gUgQC}*7F=*( z4w5X}TooCYc4)IUVannEZTp4Zsp7i71QL0s_llKcqGKo}$Z7g?=lbM+dUPWI9vODW zb%I@y=A)tf6>Ee)s=<#!PkJ}BsRKE`8K zmJcm>S2U@AwU07xO62Hw;CYCj1drwz4vHBZT7DfGbc=>^+^?y@{I^SCbwZgSzOA0h zN9+ia92H}UyoR-42w|r+^F2RwWN0GkmH>?pY2%<)H14NPjx^oXOE0Mvvif*r7uvNY zmqgG!+}mr;jsq+t1SV*)VV=f2Gad}Vf@N5m5a_)epCxbmy_^Z~$`?S)###dZFv)}Q z2&W(!rI89%Slr%By6$=_xg?ozadWnHJGwk_ii$$u)I%KLUGwx(=QLe@Sa3uw%BFcB z0fOF5f@vw~T`|kV0_KFKqa$Lz4taV6v2KO^om_APezIA>j`oJdb)x#)N26H;8-wvg zzf?KU8*E6~yi>>b4~C=b)^ZLPigx63R}lFj@?3{d*6!SH=8F<>M$X0gF>-hGzA6RD+5`?z?3psF@yO?m7V*K=D&&+R^Bp$>lFCYzZ^Mim-VB*ak-y zsdmKF(Y5Q&wU=sk$RjcVKO7^AswQaRKG8sQ5P*?`1z*1RJ#d*tXzXx;et_bX`GsYV zoXwCVgJMC4-p)d^#?(F;4^gLl`hlqis}|9caG?1)Vlo727NyFBDA|0ai42qEwZ_SS zgx-lu?ZRvzx#(`Vy;!G#4`E6~20I%&vIfZ*c+i$f?1=-G#sS!+>mB`YYl&3xz}IH< zbB=-wTo>NKkT~oG1Rk&|d@9j7Uzn}3vkv`GYDI#S%V%)0;8Zjk(HCG)7GxCh~%ZL?fagVRp}PMvZt zCfivg7v5kKHCk|FZEKIL#($&Fp25*8C_>JZ3v=LuLum1F6HgpL9w`u9^E4Vkbh15q z#J)Ofo-pr+wS~_6@#TKzgBE}tSJVvIKt~7^Cuy23r|cTMhZN1L+Ox-jo3l1*5g@;1n9&vW)_`Au7n2#?F#y!1t1NO_?MP)Wb8OJ zI2koO%1sf9ve4b(QsUcYF*k^*(gFqc1ihPeI^$^R?Zl4qccXWyZ#zsn7 zs634Wkxw_83D_n%_(+cfn<&TazDFsfW`nk(;e!IW70Sf$2*ub-K))elunah0BlEeK z1H7N;nc~Ifpa1w8J3$&#-cLXVs2sRY=BIcL?~Un2vWWvLoBy0_@&9k}HxVHJ2M?-$ Zf85lu&#WUOma_1ptGSY$s9|~VzW^MCd@%q3 literal 0 HcmV?d00001 From 8f12274749f69c77be0449bf73d94516700b7425 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Sat, 27 Apr 2024 10:00:31 +0300 Subject: [PATCH 92/98] Update jointplot.png --- jointplot.png | Bin 47349 -> 47386 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/jointplot.png b/jointplot.png index f8a943bb8186448ecb36728619ca9d002c74101b..4773fe6821882d4e29b59f88b21f9db0f0aab52c 100644 GIT binary patch literal 47386 zcmdqJWmJ{#yEVEfC8fKO1`!0LrKLksy1N^sQ)xuHK|)#@>5y)b?nb&h-h27`?>hTE zW1siK8E1_10T%1w;a+!KG3UIlhfqa%2{dFPWC#R;CM7AR1cAWPgD+~tC*TUl$mj!j z;c*s!@2qTR>g;CVXabQlaJIL$bGEiHq;NHHbh5CsWoO}LVP&Q;cXqaS;(htj=HG8% zv2!$g$yrfT3rdKT-Tz;DCLh|1rOgI^DaFx@Jnp*LS{wOI3=-g|Se&h;iih+)~m_-d0{oYN24* zBV&tooI?&n1d%dG1;e0*P6+&f@d_V-J_uYZ(GPk@OqeJPGWfj+~C+^*2X3>U>O3ak-n8*Qj$b3%CH5XG5AL^iOwxooLmF!U7? z{F_5q|7u^R)4q{rkM}D=NOt)}TrU<9ESwQ)KpW#l{@bfjBPn+<6H8tGynqfYFh7>K z!2g?h#RV!E!Ta;rDW4F6d0UFZNTXrGhb*=5N4P5mFEOp5nbj%BK$ph&&QHl`RSNew zw_$di0<0||*ijL>2}%y;2*Gg(8y#Q=G@c{MkNOHI7Q8 zDo?(}>hJfcqF)^DR*VTKTZxHN@3*Z_0xP=Ib-#(FV2G%ZBhYic<&sS@{bN@&p%l;l zI=;yde)`^!Y}}1aMxqNN{UxX;nXvwrq8tN-_I3yn9u;0%q}58L7$95Q{gVbRshR&-@J>)tk%Fu;@dJ_k9I)Y(P)cqkeQM`Y$qY{ zE*q&bh8+E;pSXiRaZ%-evb{Fzq9T_vHZMA*+WtZr3M=+m7z@7M7{+K^>Jx0|W)yEd zH4KZC9|bG*FQQlr($KgtbCIrPF%kyxfm;{$CwtqLZD77DcjKumm;F~8hw|-fpDR2i zm@>Rg;G+cv{l0W!ZW&E-T{~>%zjfxg9vfSiP|zbtF{M~`S}D>YK7I1^LK+2fpqgM< z7nN|rW0_2iWNvrkkGEv88oF_eN z?)$$vbl>oVCMT^%SlFDc#IkFF4|3t2Cw|M3Ei{2vZ-O~OM%LwgG5zEv3-?!q)HzXe zi!;hNBpi+fA?i28_7MtnY_H>gZaZTct-w8{Lr;PO#X{TW%rd{?g;)? z*a#Rh4Kd|rTv-HfmUv)STW?K|BPw&dGBZeN+qrIBWv=1cqSKWI@n?ry#FMD~2&zPc^{panXHYWQn+BiqWXkaHnpakBEYiLZ~%zkQI z4xhh&4-G5?M@~X|ESvr&U}}xV*mfA!NIyat!}L)O3&HG`c8MRdYr41Imy}%2b?Q=- zOvm`nn3Y|x^}c2n#;=V)WdVF^vi)quNuRf^*0zGhcBy5XM2j=wmrp$E0;fqU`3+&R z&h+?DL8>#!MAw>Aq-dTza~5T1lCh4tV@pH#Nnkzf+^Vs|zX!}ulK*D`^M8z}|G&E- zuFvevDWUaTE!yKv`D24&=IQp>*Q*Zv7QedI`+e@irc?WaA6u(C#pT`jtykix=;-Cs z{9sc{nlu{^C23Ng_ni#rJz#lW>}iaRT-!Zf*j-)JwW7(5J3icB9j|fw+;KnLwmuT; zJ>Ez-CE!v?^}HYzzWE$r@yy*JRU4GRv7g>^SY?Y6laX@;A*{=oA=mCXL>CN z($I$Tz$IzFFoXZ%qVD{M-O{U7{8mI&Rm!l{Fz*At!zS#Me1EnOJFhij9zp6_x7OPQ z?)$TG7>EM@F}zaY@35h0kWT)T2H!p_&0-#p_BngL^%NdbYr7D3+4^{2zZS*U|L~(A zKmX`#TmcSJ*095v<}}QM64ktspmlV2I`TC;8zxi?mMpqp@ANsyeIKkgz|#6(HQ${K zD5~PJB%=5}Z23k-d#yj`cHUNeH>HS!aJk?{?sGk$w^}o$D@u(e%u4Xnq98qlsk{k` zYu;XT@u}-li}x`4Hu!bp_E!DF&91}!`4m3qOR(N}v(kAtdLa$ky17VV+j$V3p&C333?%oGZnSm6{FXFd;hGN(M$xp=y@1huZwRm3Uw(?8n zrMQvN^NtnP4EI%}dEdu-0uqv+LtIM{;I!9`MaTs{;6T95nwpxdY;68^-n&}vS1TXc z*xBJA7~+`ty6%*=jr*^)?b{Is9s`hoQ5MxWE@eYZk`r!3VIi4!>vWjmT^OiOj_(hB zeHV2X^AdH#cFSAIxR$)w4J!x^>ersldmc6q-xd@Uz(D+kARnKRc9hmF?%buyO}UV8 z+e1d)+%ms8FH~58Bfn~k-I771G(InlzkQ~9ToQYKd$|^`t_uV4y6Pm?WgXiFN7w^q zj|y>L3C2GHtK&Hg?^%QRIrBzp*)`*`v$MM|-7bD?_Pku(NYv|ARuBkQ@Vyy7y7pp~ z!`6E^NjwhMyUQ8WgMuY#6`M;^WJR^Ua^HKat^KLihx72Lp@R;$PMi{FWnxd50d-=>``jZ5I65+1VrD30vTpd>|SLFc7_)Ux_jD1v1xpP%H^M;kuOl zB16^j>d0Vgf48hL>UQns_BOq)ioL|`a1m+-l!rZg^FOc;KTI{+A2weaIy>XsUhH>j zEuJLM3<4M=SyNOCweXVI!oort@3izF`1hWEwROOC!+qvW5_LA4bgX%Zz#4Yc!5TD$ zHE1qYq*)S+zrkfx`f{hFrl!};&CcT8*GEM?+uF~2h=GDgUFgIhCh@t|$MN5W?p7rc)xPFwO@`&*g5K4VtXHM@|}nHi0FV_+vL&6bUaihh;Si&x!TympUA z9|eOfQh+0Z4LORm^MZq#j?=}l>*3-)bDhB5QD;(8()%MKbp9gVcy}AQkUX zGp~Nqr4gN5U(P$BUmPx>L+VfZnZ|zoQtE#h43>ubt@c)4ZX=8OixilMVEaqoYZ(&Y z3?MjUD99eQsmO(!)5((H}TlS zL~v**692>1+EwP`HF;7#Qa3@%QSi&Qeb+7Rt<6-s?k@^&LgAi1(|-g3drk1cXx{5| zXu8FlFK3J%x|958qoNSM?(VnHn5h%_G7&?hml3-4?D$%1g;dSW&GqM#S`H`ceF!~! zvo$EtD893^)6bg-4Hv!_X1-4#&^wN~d{4PhqV5+CeLl|FwUVx_t)WC6Uwd7B^u2o8 zv_^W^d;6fm7~Fb4*V+XFe&sS}Lu2FdzMU_zR-Ns}9V5s&D&d+hrWLd+y~kbO?B-_gb}M&&GOyFrrJpU{w@2fd z4>&KIj$mnNX+boB?x|IIGv1V*uRyw`EXYBY2Yj3r0Vm{-$K+SDQ!P*0cA_rh%e`pm zAn$Mxe9zT=gS~GrU?45mLw2h+cAj%ZgYi&C7d#;ry9c7cM$`Qt1>X;gJD&zNItt#L zGi)8Uf<&ffZ42dp47zgg^sdRu^f(<2F1sgDGu0MfPA?2^|Nc_Ln-eo@dPC;3q;dQ5 z8VIq&bHTHxz@aFOU7(|bI1?546de}Qa#2&hBBOVsG<@r#Gg5fjaqHlf zU?1Vf)~dDExY+uVnKDx}GdXMLN&*P=D zD=IL_Z>M|guQw9EwzQCmii)~J-56LbeppTxxB{a0rTwIa*^BGbnHPQ_ki^7)$2;Ux zCC`e8j9e)yE)${pEF>xlcd<7U7)i`EOnkXlHL{wZW$Ry5w7tFE2JHIPp%;v9gDnM? z6pP!Aaqy=cKgHf~NopjW^1%&bB?5t{ny-M5hlKR+H0caorsw&*EcOZCG84Q_t|~pP zi1uc-vxkM?>o{ZDHvFNzgJPbLkdUKdy?aZI3I6y7J88W9-6sOJoPK0Iv%=9P4wJK& zMLS&8x*z_~Z0&Qp&;KqPEDI0&dc>Gc%TNG z%dM){g^dV*r0{sAaMdgE23BY4I2+v?aZ1|>ZSmov?rUBif{~FC6arMZ9qNKm7Tpv0 z()*80Om5NRFK`;hY_iz*U*G-2VuXD|NURlzG5P*5MpNnBThY4pZsX-Ka5AEb_tx!f zLqkJXQ@;08CU%D^P6I17--u={zjSOnl#p(?GkbpMoc7E@f4&0mybwhHs+#l0eyB@l zdU4_X+4;8#?>{BiYL{ROX>>0erdAd`54-GqPKnd_J+O}5N!s->3esJPSQ__U&AYEf z9^En(Uq1t8vhn8++FFK0G)12Ik*BewE=-E4zCM4HCz(J%YWZw!E=6!jSqhRO1iD$| z*S!))pQF8uYYLz{jX;ne+Whn;Mv3G1(|LJ5_e5rq1bEpVoIQcjk2X4Js?7_^*jl9G zMK{zM;C3tZM{^u7^*b_;MGejfwkrXww;f1l(Q0mo#rD*})j8!C9BMd!b)zCR=4_Fv zAq0h+cxspiTdD*_b$8P|69U?9v!YYxj69&QfK)Vrd}aKJN{e+yZ5;Izm1rAX`O#pn zBM?@gVb8`IEvIzsqq}tHe2&UE2d09Bxz(A0k(G(+Mob625LCaZf$xTH-%-67m@|FR zvrdleZ@fVJ;Ag>{(wEx`3y-ZxMr){ele4DM*C``Cr1(-#h+Mg`nn) z`w!G>ZU^-WI`1+`6EDuiPw_X*$Xg|Cw0tJIQH!?!U+hXp(d17z|}OX zOdX^`30j4PA|q$9}_=2K!iX-!>BX{E(gw^GUJ#2a34FH9QJV> zbak(5pQu}e< z=rR8oi1@vt`K774MDp`;!y^Jn4IBvA<7?B?)x7u^0rRZd&Fw1;Rzz zYwo>&=)ACo1q86HZ@j4E zK{-1~Q4A^#Eg^q(+T0w)KfEyC!l0ueU^Pe*^6QxuE<1h5R5{ zEa0!i_u-7*=WdPM2(U>4LPCE70w}MB!sk`MtpsQ1=F~mI{-TwveAqbO+dAJ)pdZ+n zrzD&n_C%BS9Iy2pFFoEbUENHzMgi76RLmg?^~R%b$&ih*#)A$(A6`J9x$_NR{>x3L z!-4r0?(3f=zMGAZ{WN6r+A|{WyuVzEexX%cauNZ8Jw|0r3ZmkN4m=F z4o~;r`Mk8k7w9pi75N~TSXv@02;Or*mO+y5;Mq#6TAtRj{edtd_{a~$iWo`i z%ap&Pi-2?r7*k+T5yTJRMAxwjC{iqIeYn9*!i6f;314^M;?(uLCp`E(&wu_``s~Y@ z4^$1{h~I7?8$gPI01^j?K>z^pUb|XL9Z+bKoJC5mCXPq8@xTi-2zBdI|50|a2((E+Q`IZ;y z35Wh~Xet!HP1id>={cFtl>t;H0hIIVB(XK3w)VBQ_xZ%YO;fDOdBs8sWthnDqm&C2 zGmaYl;K-paDfC2VmmAmKmtyY0RoC`cE|BN(eeChQlbE;fL_6&!<#k2`)9^)BRUMn1 z4TExD`^E*Co3wn30Jhq79w^4>B1n#SUb?ewiBfu@q9!|0o@Jbfe7M-m2Sq@9ZU;Xb z7tdLs^qqi|v3*`V#bvA_QOA|=p!rf4G8xvd1cw6|t?s|eqe2;X2_&l{ z5{fq3&+4h>1i1Q5KkzLlZ)O6%`|(~RSlg2 z5@}>;XxLuy5BYSM0}Q*C3aSr@NFIaRFvT(J<{eQWP<0GD^D1bZm}U+N!ht#gG^VB# z>FVn0l5Kvd$8?nM6uU!~|Bp%E2H{`K$ELdUZ74xH@2C#=H`F)rNX8cyBJF%{=YaUI zTlprjj2Q9bR{5`({(nd8<%L+ynxbIKzJ>Hu{@|&fRqkbbMcC784!@fU7yMK`2>@Ix zLj;8HM77@k57}0bia&r#)`{AVNGw0rV<$46{Pn5qoi9*okD=uGZ;8L~2NV)8&~iEw^IB!V?q8&Kf zdSgsjBl|w89XOU;98!?*+rLHDDg~*)LsLhtA1D9;Ty`b!YC6peyPE*yJpkHnB)&q! zq9r;M5Ge^k;hCJI(nEo)6js(Qts#<2u-RM5{lB;j8SyVH`~IRapAdiuKLy>DWK5;T zf93%)?%3qED1V;8!Ldoc1y#nc(aG)3?#X`M*5DY+x6nj{L%|wi#c~kPLu1IB4@v|C z`AFguAd@XSghF><=Of6XP>@&X9%8Y&ZV&&mi8tg+=V#Tzgqg*KPXM!q0B8mPnxw3- z=ET^{UeA!a&DS^dL2(3}md}G!I2w6o&ADMZ;o+ZDmnk__?=M77PfiG>8zX7JK*f2+ zgawipdFF`jChpo;N@1HE5?Yb*DE@5Db;0%BN?Kkb2~fNtDV{P%B8Nc$PdQE^hr>#$ z{QXjhyw-(NWnC_Fb``slA6j@Ul$@9+iG;rO`a7~x&1;FTwO2uLPoN1tOr>;atjJ^I zV~jL30q0VwS~*o)>ReOi{(@%dLP?L*uY~bSB&C|_K8S@Je@9T0cj6H5QQ?TJR+<5S z>;nB`QIl>km?@V8aoQ)i07L>_P=R8y-S}x*em8%*jR~+VK-$z&e))u-3aZ2YV|;g5 zqv_vdBBFuh%F4$GbqdzS3lu}T*A=%})JjBRp8=9l@K!`z5rfVxUqw2Q!!lf<_vG)? z2xm%<@5u;br)D)ZN+++ns=Mfd)^h;Lmz2wTViEKk4{AxA{zSQ$N?Oo!{|#>$^H$OZ z6hSeRu)hftQPu=Q_wYa8OlfE3Rdu4ZhAnae#WqUpj+$%5yi{xm7B!XsTm?rMlOlrl z3$YLlx)+wuI3=Iw-i+a)Lw)RjE;#>pd_oRDw+0;QcDj>szOR8t_`%MV?MWaJKcq#?lEOV0y``nU`t z+7Ca231sMW=Pafj*My=C*Anm#Jn ztY9c}{F4ORDgmncqa1L@aZjRUesbcwjg7o0l%zpZlpX&GRnk_T3SPmi9@n4RMX&{R zR^?d>-i$@F^6-QLq=f%?^71hNjret(BT-PCPU+J0By8i|>whuS-EN!2rA4oa+7x%@ zx_@9dk6?Ld+>>|4+twH3BTR+nG$@KdZT$G=jB;>vZ3LY_T>y!m zYgt0@2D8?BMyaR}LrKkQqg!oYGht~KmjxUaGZKKyP?9p&KxAp?V&Lia9QgKV7nY4pANDEX&e+jKrI8V<*MuDCh2X$K7h--|iA(`k})V2;MV5gkq`ZfjG6jx5s?N zM*P~kO~-8kL8{U>}}AwpteIEeL9OY?U00#NiJ`j(bOILef{ zCEML<#Cs=N;Fz6d{d0C$WwFDGjCk`EuU}B&W>Le0-HW{lTa6V|OZbCJSLo$zR7~o6 zZDUqNZlNkcolgO9l=X!&4IcDflWsXVIRXNLHlUJ*Jxq&!e8w|HkxQhg7dk7vQ5U3A z77I_0uWb(_pUxXhm*Eb(Vowkm>7_9GvgL~E83{L}n_w6e!=Nk073Qj)HAq~-5@D2) zs&!vHj&g&1Px;K>a6Vc=)%IQfQ|Ot6V*$a|^*yGtdf0pmUf(@^nt17UR@AK}7$|M&%n+R^r$}+|l zXDirqH#CH8C@b%+9bStTjCxA$^?ffBuvY6~54pwQ5i99j4&L%moKi7{uc}{jwfG@N zqoU|5-iMy#Ehq8i>)wx0=}-H^pS=2&5aOe0qv-gXalVcf);E_wM&kExf-qvy)2GBF zE#j;ZXg*6W*Us5?0<;c+=$3OG);~P>fHnspry&42&NmV&t3wM`3BPH5*)kvRw%9=3 z57ZulI^$yAB5Dv`c*uc7&>PEIUc?4a&CFiGX$m4kmN64O`Qug3@gVyMH&O*QHnvBP z&GdH|9UYzF`j2EE5TPTP7tzijuaPr)Z3ozIQMlO^+Zev6fpGgvP5^~%MZUC-6kRb{yp7<$7x z|LqnhW+gw3hOh^atJ?`W0WDDb9o7X5#D2ykv7JMX9~74cGI~aQF4&>vAFyP-yH)%Z z*TzI|IT1-4%}`TIXI*Sc84%dIhPimwBG^GN*q^I|YpYb}eJdex4Ao&FC8eaiq{$eS z7?$~Oi$4G8)~ty)4wt|Y2h>^hMN669IENM0uakVo9#S_7tkA5+Mq=neHkVi($K=MU zn}2zQDNecdn9Cb~;=s>C(r(V}@24I@F=&^McO*@KM#svH*^}>TnXhJf#`l9GfC3Ol z1rRichvi8GeMp|7lQG{I?XOR7aM(5;w%i`2F5Pv{%pSY*%e3I3gNlXuQR2B%%rBJS zlf;%UJ4#_a$Lr=KAxQ4pznUNj-)l`lgAs<J#05?kOQ_1BxJ4iDE`FaPj%v7%ys zmdpVT5*I>`j2PVXNi25syq}*Z9!Kq0&)6s>E0B2Y`%XPs8H&z*2zc}Jx7SaUibIzA zq*39iK2zuCt6kJ5DZK}rlNzQU%3$xdB?Mvh&qc4H#2N$@!?Ea@R$sw~%g2W$koy8C zmP3eb>2FR`@y(2ci0!{_Et z{n;-WhgpjPN}S3I`>$j4@@d@u1(`lX&;b0mcj<3Q7=&fKdk^1}FPYrwR*!ol52$ns z8EIU!w^?nH)B&Ih0})bI#s*<5@ni$5k~Xdi-mPY4==XmY_&AlH<64w%ShH7&6`<#h zTX=1Yk~_kN{3viAHu0U6dD)BuN{LgkvBrX+I=1Hjl#Je|67mM%msJo#w0`yMH2B*m zC3qJH|67AsOTMl*^GBV4RM}$t0jxGil91-aii=F~FY6MLXd@uIqVFF=1`s)75IYJJ?LtSFZy4`lQTLLKNwP02*6{b`gL!l@-T$ z!5K4seMq974-aIS^w9k&w7Z4nHU*Tubc$9cG->{jhA!(}-jM-RhD{6Ky@!AUXxx)0 znGzjK^X@DSb7}_@+J)p2p7HchP`B=(#s53D#j9w=trAOJ@x#;n?|ENsYYLRA0S6zb zbOtfxdMmS)3YRk|=2uuZE)zGK+^3GcFcH&qm<9u?&%ZDtnTmNwHj?JP4LuO)R3d6% z{RbseBttGFv9f~6bB4;-zZiO8T$^&FCW^|8PV4wU<&Oa1olmskc7yL30Lulk^YUe{ zN9)^Gi4I9_|A(<{#-W&)>&f?CN*O@F?fq5idM?|>6o`b{U?9?VHvuP5Rf%=fZ;~nV z0~B{aS!R9ckw`8U9&jkb&>gf6#6nkb1p2?V=C%*P4xrdHczd~#RH(TlQSP;$1n5TZx)WdC_W{Z7cN%6D<7KB?)`LG5U)nwGmU z7n=+NQ9vxBKTHS`eaf?F8BI0pD#xKl0;aKVHZ_5)N}iLN$qw&e`T@--&Ur|Wsev-D z!#B4T?)#8XZ#Dq~RCso3gUOX`bTlMYy3cQg<2 zPp%ITP$26uv#qu5?phbeX`HRZ0cDN~puc;D2bl30(QN8O7`DD8i^mE2JX<;Wno(M* z>vZF#FJbHL!XdP2f)t3PoIqQaanKMc(ma&J30z}?_%WN7hOzD*7TN0C^M@>crhi@c zF|0qF+v`;ml`1`~k+whVq3c^3wUHyA$R@@Yh|hC1<8#sbflQ^<1iCD)cGO$L0NTvQ zNuJ- zF~mZIt0bWPT+YXNqfhkvDb?_7)9{aqk*>yBC3%^d;cr16iOOtRE5;g7vg>cLsHUtR~)x0z|#O$}!>(+^f z^!2fMZ4E7ZkTXaGctY75h}1k8|BA^Vu@jo5vDrO(FzoMoe)y2U7mq6pBkfWcMAvBu zRt!FNcz4t4Z4ZIyDBTvvSFQe<{SY&la@1%U5$Q1u8O>|Pn(s8#c&Z(T#+2~{Sxv5v zSaVZ~eoC<l=f+W- zcoB&JBGg!^Gq8wC4lzm)yDy&VR+ghcEL7bB5EH4Hci(1u+X!PUXH?NPPS>D#D==2< zTK{-Aj7(Y8KU*#K4ksci%FxjftCIQaj~|49Z(;<+?lXTz7E`GF(LeU2B}oTCtG31EqS3Lyq5h$FcM9Y7d@f3M&g zmj9gJsBP36H-QF*^y$4TYP$2u+YI?ZR zmOSp#f}bfsA*n0ufhc@GMRV_xx?r~?2jGymnuY0QRYJ#0*dmi*vDU}3^72sp6qrK~ z@gwDPUG5}*U|l@R=W5?@+=!6NQ*vJorTbe^lZYnk0?Y)i9Y_ZM(IcqD7yzYip8FWfRQzn_A!$J6^55X9l%7 zXpgMdzLlO9>-3R3e?90~a@dGhhc2KK+O{^O>xuRVygtya6r$?88u&Kb3Yrl z-1CG%8yE5@h)+4H2G&Wfzo3ngz%w#3aqd_VquxLrK20av-Y$}ct&&=TS5V%G}Z4TM)yvI#DAPf{4a6EYs=;fLra32|hL;01d~ zWdMQG%V^}#;n7ZhS$zb3^}Rig{avg7wTFaOVuidUk84a$Toih zZ+cGB*R5}(N}u8nuB7imW9@qp7c3FF=N5Eq92ttIi!mrQV~3!fB1N%e;;BZEfu<^7 zh(*VXaC5|ZOgVawFRUoukup+8>pIsO@+b5Pw~x{tw*r*LFBqhrNt>C`L3_i#N<`z` zSGXc5XlZFdPv#vB8Jk@at^6|ydq<9Ef5m(mEb8MlMUtpo{f=3A1A8TQKiM`z*ikg> zl~1^7m(gz>ESW>9i`s)!VXe_sT(DEhz*9OU+hRt1g7i4{l-o``8x0qhK?W(Ge#X&o zDr;FDjDdC*>s?FwqAw*mJBliBen=Wvi4*W;SjS!py|ZdF2Cjbq4g0ZERBV5?{SL~| zxA*tO0kxaz5&!xQDmCawyc@42dMBk&c^%87CFA{}{63oTXtt2h%kAX5(+4}FUZc{q zB**|f!;B0=zCi$tIjY87&gc37G0i{&*vcf%7#J)gMHlS8>JUk72Fn(wFRWX%hAaii zvyNE&`|+6~r%`mO)Jn5WJI^zMiCT6d&m!T42i>kSi#Q$@=? z^kD%CJ||z2Qc^^`y#;K4Y$N~?PzAF1#dDxgyDvV(!f>QK+JLsKjYE!UB~GI~+9D+> zlxg~O*9fSUjjq)ly9rr@r%al%<3XlLM-4Q4vt!7RPc*7YfUI7BifCt*{TbV(DiU9n ztjXgP4XRj}XFp0_u&CC3`0)wEJJ9VR+w}|aMq4I@i*mxe^nN>mS_laq_6h)vkDxCg ztGpZ?C~Bn8R>$muf~O&$wI?D^x)S>>lNTGDw~03)Age zDuT36f$e2MeLMXr8Z?AypT62r!%AV;4;`?4f_0L=t~nJ{0nK2n+EtAM4CK!~lxm}N z4w8=&oZ+b>sScZ3nv4kady$uGQO&;}aNy0JgfTxY{_Y-OG?t5YLGrPubD3I@NzT{XIX!!=XgP;mkHnXtNL=Fk? z!S^CV0@QGbmGb)x-E*t(u=cIb7-w6r1%IO&jb$*jS^FqvHxW|!9!R(j_s`EqJ8qDH z4k1jrB6Gxs^cQ3Tr||o+;#d4wfX8`|B&MK?e$>KJN|wgTLVfmZ_?GJyH>;=!^hNjH zI$RU+U{-2xSQDAeUcR{HUiN_7jDQ=RAo>}CCnz5|OC7=jJCDw%HnWKs3pZnN+dmAHbH5_-~eYf4TY<9srNYwQTp~u7ar%c~Hy~M#g zS4X=xCefjrklq{!cCXZdjy!g~rOY=Pt8vXn6JQNLKud&-1EGj?PFgw-m)mb)oD#T; zAb!j+Tg_soRK6X^;ARK)IAfD-UtxbmYLW?^4RXXviCiT2FF`c+FTbtWWrfD&(rOCF ze*6(Uu_pJq`Hi$4g49=L^4cFXxhZ7w!a(F>UcK~C(d72{J$w(kygE2wr1a&Fz9>28 zs*-}hJ#b*5Y`$T5u(q8bE|~+7th{GB4sXh zSo1sFuZ=H0oe#mBMZeA738{&XMMABXZJD^)gfz?rRC&wAB0IxL=KdOv)QyGT4w;xT z)>01~Puh$BVgNp%bJVF}O?V6q%s3m38CkMj+^MBp>iCnXY6YS}r9EkQg=E)?Xd|}$$E{5U2X6&L z4HGMCn7r!9S;Rv4nb1__WG8z=B;1PJutM_>8lkDMM)k+PUVJ-kq+kVBmSypTqZ2&9 zwR6WZ@BRl5F=FU~^BwB9qGwE<Rb6s%7yekm4qgb4Ig`qMuXWxNl+_l`p z9!-@zN%0~E63Pvg zSfDO24uQz5-B1MwP1tRnd||fe zO9|iYh-EL)i9|g)Diuu-{qM9ctY{fu0T>jb|!~c4B6k8vQn(WT?a#XZ$Hm zBhtJ`Ujvvlz{oj&B=gTbI#IEcqKc0i#OV^Br>L+C=$1?n?w(xGRXii)kR30~V#qhN zv`wzPXG4Vys0e`#Pn|90C*xZNffFvEcLFo14oN#NjY9UCHE2*mi$8Z0w5>wfzw9P% z3q5j-2}}mT2NB#P+fh}#95?rORYkuk(I-xOmx}l>k;~Jsg2daY+ z2C9>l^V8+@QB!9{xgR6&tS$9?PFtmU=VOTmF?CT|=L_X6Oli9>Gegawqn4WG z8`MG}E2cM~JpVfbTa;amy+*uN+PU**Xm)Z=xz1o1%wh8onc1bVL!(%4EaEu)nXGOp zbEtje&$Ku6&?xVFvN?3*NzL@B51zp%I!F*SPZ#`jccksAiDl>c(x3cMB7q{DdF#wb z!}zE-mOa`~oht3szPOrM~w(0@xJ;Cvz@4zr}hOusI+HMo1VynXJ%I% zHiiT1s`2T|WIbtAI#v?m6VOE&r--zKvT<>gJYScigWwzVtLX8f=9|l=GXF)Nbtur29Wo=Ej0{ z(Lx>_8_E*9ldrzarZmQ{n6S9?c~v=gQ}4DlJ1Q=^IN*qhqDAo#awCJWg^b^|jk@y} ztmghM-`Rz=?ahfVt~}x=*nvIpc(gUWshxKDg;Ls$!@dRdv8w?qH~mBZH>eRKwU2rS zGXfJuNtq0lwWT%u7U22xAxwhKNV}P^e`Ge~aX+VC5+hW~%n0J8N|#0KH;35{O-~QS z*O05l17O=M_3SQ%fx3p{8M7k7n{tn`={4;2VVn)fuz055 z-Yav$h2@B15P&u*-rQ)6)%U5yEkVXObJSJ`?&1@lrL7cIyce(BEsqaMYxf+w$eMaO zwZAX&K0*W6Uvi&q&PxC%W_oV*j)Qb1nFDn^P5q+ZX*B)*{)-rlk+M{T91R=W7stf} z__uO>h?EfU?*vM~I7DXAQwVTh$2f3?zEA2T*W6>C43)7U+G~0-e=@jG6}i|ENnb)x z<@!8a!t(ptWbo%iQ!z?#ZD9Uai?YLDfifuP|4!5@l@o7fWICw`Z%T7P6cRd|;CEWl zRQ#qQD6Bf?d7e3Idx`0XWV_fLLd6;mewNUbSWFSns#7z>DwjqQwY+Z5Z}&{PLauTT zJfxMZGF%880W^z+6?GoQgVymQPf-l!0O|?#`+#5dxunkwVR4K?$IX1>HE zsUoMVxm-281kldw}1dVYpL^oU0(7rwe82j{GB@=W7eqkNL#*136U< zZNvlsH%50rcw9ESTIfT6dkFYHOiKOs>Or0M(&y=tJ@;PQQin%R3(LX(TZ z^>|N4788+Il)29IPlJEwrfEM*`~;q%x1GAvjxt1#+$E0`X0U(tJ!c1?FP{7N;9n?& zAZ+lJn}R~(ls zxK6Q18QmmdMjR}2G=9qVnyBGr9Nrt-;==W=XRZLT4D>QJYH&F_Q zxlsAZT}kT!9p+=kB5TXT7t#9Nhs5LNW`V!2=b0p$N@eJj8{MAP;-y(2(x?3>-+`gX zd(SoK)iZ@ZUUdI+`7EHAt}1hh$V|EV4rXZHm&-sE$;7T`uw~@Ns5x_J?io?4w4vdw zGzV#>yfBv27r7>wyliJfp*|~uf~~jWBMeKLGRze$7iAwCrh%bLmwVnz1Gh`!#qD* z>sRYH$3d{&?`da#&pvZBb~I2K^6QCjB>g?kg_fxW-ld2QVgcH<%=ngRRgBGs z)>E62u*ZVJVwN^k?vhw3xwSZ%m5-rvT$*2}d>f~1vBTp03$lf_0HpeGn~5P+^Ep$R zlrc<^1n}Snn51eL;^0im`x2#~Vkx{s6gO;cHjco;=~dw#71{RCY(i@tJv*1Uq5gNt z;U+~oIa0X$yIwr)QWr0N!)FnzWyLm=;>dghd_Lt3@pmaIQU1?bq&NeEUq`3#Ws0UN z3dahsU`kG-OwA1L1^JeH<=blV+cW)$kNS`5sdI5`#`10XLp!_T5|!6Dlo%$bpP}0v z$IO1wVW4`oJJDkC{t-X92BGS=^k)|rvI7SNe!(`*NizJSeuxpu8zc>$JX9d>b_RXv z<-I&_zIXG?%kkw1Q#NADRYfbZ713wLrhe~1!Jyh%SdmmkigVVlO==&gO9*GgR>o2T zzC$#S>QP=ue-FmC*QqpjsfzDv(sF@3)eK+wYrRA;*+;f1*EY_FdOdxb~Ki=uezCNpgxd6_Z69dQgTvTuG|RhE5KV*%CbW_r#XH zDzW|7#9xmw(PlB!Hl<-yo`4LX5)5_U+fjoiSIZ|LSjQPIBT27;u`U9j457$2j% z9AELGl<>$iJbGmR*9vbdiXm-c02>np_>UR9tpg0CEoXP<+Edj%GyW5Xdu^7dH;S9q zS$AtC#!AIV+M`TbT6CLxWVQDivh3K)tX2b0ARU-3!&NJi4ck^Da`3}t82xw(^y1}? zI8`>v)*d{R@qXYR-W0O_n}(7vG_tNb?F;astZaLR9=TJk=kGMtfIE=P>!3xn;0c_gh7!j3ajxGhFUuEJN;a*{(QxXq9J{ZZu{exYzBmy;hFDiFrKd-U2KRra zd}MwFZrEJN@4eiw=-~{yI`H z=wAc)4^A@ddp9i3>?$R0xgB+YKjay6oYtOy!Ta+|+PxTe&x>3|jgu?q z*j?U>dNHL9=~y}A6CU{P?`4aDlCsHewhExMmqQ@$6QYG@KrkE79s%lnyC-U8pzsVY z><2EUOxDnJr+IAWt8&JB@5d}5BvMlpzMPL#Pk;xtWk^*q31ADxnjd5OPLt=Jn%D}h zT}sAK7vKBxa|&klJ#aJ9l%du5So>F0i!T*{KGs5aWe-QHy;S`c2Q*=>ssF{*TZTo| zzG1&ZOBr;lv>@Hx(%s$N-AE%{(xJ4pFm!h_fJiq;NsE*y?0cU7yWe9U`-{%Z2c0$R zUTaXuel_;U2wSWYD(n`u&XQMau7}pu-iNcnak(=eiS7<=rKDX3|wyI}fKOGX8`_Az$ zB?D^f=TyY)pJon(&2WP6!kR+gy=WNYTf}Q?1<< z*Dd7w^IPQ`iFh5S2~0=nf@RQQG~{^O#ufP3!IxCZB3X z=4A+k=;>v33szL>VxUzHG*9)@;gxAld!A`#=`5~gK|i86<*h^F7kCMk=1X=H$F(w^T#$MX!5_gfY*Jjie#jjTiH=UHTmx2qZG}Z?JqJ;kAqD! zpGd1^=E}Y%lLcBTkTm*z2W`Ba4XY%o*E;bb+zq#_d!~ud{Q_H5T5C0;oTj}(+jlU* z;1UsT!TGWHn5TRbnhp}(6(GLKz5 z?iV`yIf!!f0!qvs7$VlUh{KD()y2M}0K?+-HvlbHWeSo|dUno8!RPG%WbhP+Q==l` zf*_DyZadi3V!CWRRphc9|80nn>|{$n+FKD$i{X z0g@vie#<4DHn*3sovO9acgOEBvK3HAN%}_?UrmKh-qA%PUMUvu$;p?vQ0$F4BOZ*@9*0i=v{ z<|cyNXZVNix%$uGoUX{=So5Bk z$i%>1MUK_>m_uTA3*u};Qw()4|Isj~;>3Wv|969yqO?l=(+B~**1aUh^8KUps$3?` z^4iW)Ell3(5_3!pn)Ze4Y+&U3dolc9MtR2Olx6Sxcf6+*f*(M5e>+O#@9Qq$pEU=m zvPw>QGseB>dEsu9Qgqp`e}Z);r-_Lah)NH0HxMDCoEz7o?9~E1f3g&KW?BOUzr`e9 z#(0=zUk2nI;@#jDlKbF8f0@63q*m=&)L^H(&`3wVU4?FRr%D9yRHjO(I-Guy*4xz| zm90em^FLJ_Axpiex;6sABozM^OKIZz3o%Jz{|*jeU>rzjO6*(|YV*}QYt#sCj0f;k zxM>A_+*!7_Z46$}<8Lylu8LWLhwOoArsd!D%8U4SugBTp!S#Tf_Km^7o3$u7Rma(P z98fXB!oqHQ(1e4xwzf3$T^)CP=X5424ckXE=J@8@4vDiKkA{wQIhQ7TTE^@;*@21Z zfILADZE=#=yl*T5yymZ!F=XGU1@1wQhAnmu+kbPQ1bVdyB9OB5$MrE&5DlM^LGj7K4tr~yU|@&GN=FFXSyZ>nZ*Vr7?U0`0n3S!{pa_ODn2=7l}t~%qt0k&G^`ub_X82}iNdBBK~|0x ztFrya>PlJ~lG$#W!>{vdNe8>;p}cwB{U6Y`f@t=u7X=fhAMQwI7atRrHiv^&*XqNQ zrXnQuyvG^>onB-+RYx-IqUtLYHNlVY5`KiAiI%YcfvD1dag|-i1MNw>*CPz?KpKw> zWcY>?$dMo*CwMlBu2dfgFgQbpWuKlxe2(je>0g#$#r$^?*UVsF>K=ss<<7)+PSiv0 zBdJhucN8Ik{qylY_SQ(+PY35=sHfrn{;Q)~eRMBZc8IDfatCpY6=xrez5)TGzS+8M zS$uICN9Xr_a{*0oP1AF3xU^678^w*$V-~b!9ALjWM}t<0p;~nydR2)cY<{W57c=PJ zrNrmXH|BfN*r2CU1=ntF+r77o&IC!D4WQ&N1NWEUAIvMbAXasfeXMw<0tybk|4|Zp zU4dsGunEv0py`E6r}Qz<$zHaOCVxoI8cfYTQfQL)QUGmA*Lfh7WVQZ@ zYJ=Z<8A|tuCsJY4BZ+ z#KqEn4@J+2v;_^$WSNTdmH{aw;N_aIEqK49-&DxF8A|`k`d$VvxUJ_ndUDNCtjf8G zq+=`!qlPN$<;70qJVnqwQ~VWGaAPT`dOQG^(Gd44l>D%kocG z=%EuhS=f=qkFny_e-7Y%BI-({=c7P3oaFoARKULH>8T~)cZALw+$FW#>)nj8~L{>9`4hrZcie zlCrFY!iBTs7DT3_aGRkjsJByxhdeCaj3#{tGp`oe+cBOyN3u^=#$dq_obovEwr??RPG&Jdsvb+|PG3 z*Gr>|EZA(oz5)S#No#q?jc|}h?~pxY^HOFp?T!B&7E(9k^y_Qy+Jv3bW~Y9X75(#n z#=jTm+I`s&T1@;gAr|~?%t5a*U+L@|cVvmD*kb1~A(YJp3co8=)xW;ufqqgBrpI7K z_)rKD%Y3|b0xF(9%W81c_08+7Z@C_LiTZuueG<>6&IzdlSfyGF%HdD>axDX6i9PxO z@9sHD0WGc^)EH8QqS-yze^g$UFRrZo46+H>Vbc2gD-2U#nkK55fkU9Y0hMO`FXgVaBcI+V447@wHC`l8v$0b2UrG-3iB1pS)6w{>26VSkG>3z>_#(e>_0JC$3~76N zxaHXhQZuigU|k_-E8$~6K&yh+%51D7jLh?Y+c3Js9S$CCBkS1`C$0;!Z_Qd2a#}H+ z;%1qVSC?OiRW!-BY)I%(tzF!BV?YW1t{*+~s}`|H;Ox=YMrch>TIIN&zF7GkgoYw< zN8;t5q}h85U^H(zZ97U2T#LZjoUeCp;@pyXra%3TtP_ zKFb}~zkjn*Gvmr~9g%^{*K*%``?y*Wwg^@gbDJWf&I)}ZxnKk!Iu>~Irtt70RDCY- zUbK7HR4x>rg}m`|P(i$ZJU8k^R{&)kCd?+HPBcM=dlnfh(zg;HQunb^ydqlsR7bcYMQR7(s8T0w4bj3_Kt%NEQ7F$tR$L9*dAp4;*TPbTwHY*jO2YN z2@VJ7kC z$ncNO0#~kSEDIkW4tN1MV{*xe&D60Bq<~|gO7=soWxD!Y>X?GIlU(?+5@-^IqWepd zdQnf0*qoiSKb0jb`>R6$A-1ND7FzRfrBldY=l%Wt3%a_dq;RvIquu);(yUr|2Elet zl(J-RuR4>~Ln^B9=ee(i=yNt+id{V#5-hrlHV%Q7y<~5v$Y|U!4qk3Nsgbk3y(>?e zY8#yeomqd3>#*DjfmT)?D|)jmnJ&D=`dMjG?bnSHC`Q9f_zy& z2nCAKofVgtqr)*_GpiE|)$VMOrj$4Z!VF7rQ;Z#TC@6PyaX#Ci#wkRp0x#ekRxU~O z=5!^Mk_4*}kOlQcd|%A?Jk(Fv7z{QC{i5vpyCn}I#WpEtZ?kOFdKrfalzkdI-5kjD zSAdu4F32*}$o9fv!67oFyc|$#72L5!*jTZrXuFs~CDnR$GFeo9f>a_;-t1HL1z-V) zrJbXlB~dW!?|EW;mL8J)q_p&Qk8NQq)l{&dmasn+-MX?mFz?xd(KjLIIWw;WD_L!3 zkiK3M@h6_0!AmOltJi*l-9O;L8PWd!n*HG+-LOHtPYe$wT--=uiaJS7Kl%)GvDder zC}B-*4yfP-7OB>x^?~Fl=o}t6Ju_AJf6f$dRE6oAtWcb+@U~MAih~ql!`b*_qiC+- z`*3=Q3=45(jMlN3kPT|ec{nWfZ255! zV(Va6Tip?*mYE}Amf2&W(0i5`w|(1#rIaAa#!A3=>y8Ft!Zz|~MwwY75cl?<=40qn z%Eiz0^s!+QmS)V_FK8^>L;MK$#WimPwa>osy4;(Dho#D^S|-Mp?zir!TB~;nf9n4F zo6P2L_(ekbjB~-$->H@K+G z8l0h?oksQq^NVcUtWsEi%26MQ?tNm0!jSFIu~R>(IFHX>M%`}l;>zqH{bC6reuGNl zm!4RLVPM1ecUIR~5=-RXj`LX(E-UmPWNdUoBae@)Csnmx74sZ?3oD@}MF^lw|Gm(StnS2ulwT-{S{!#YQ@!tFY%)oi&wDnGr_0+EpGTilsSW0r(SoSAg_lGCZiD&umsZ{5XCV|ad zAeAZ^X|^k3icP)CIcWPFj8(;XG@}6&bQJv)E$^KP+eIx_O3`#=nb3dR*4(eyc$*^Z zP*CVK4_f#0`^mjmw~*=J^pO}~1q-`J|MYQ4%}?a~2WA7;xn|Yk&N7J*QKk$5kz>4l z)n!qcbKB-3b{2CbsPC+w3BBxZV0Zx{u4saJML#B(btUwikCQR!1w7d7@`f`B-o zjRBfYryXJz738=Gf^p$*ncG~A?(^k*@v?~vpMo=r97{>5Y)=EXx19EuzoqqxOZi%y z@1pfnV7>zWpSc#6ROAxk%PF!7E_b99NxA-uUScxuCWk^4{}Tu>)kd6NzvA`|ce%D@ zIv>L-McAiDm2E(LVckv(&B*FB?9X|x8QUNg6lJdpI5cq9B#18MX&1czMfW~*DqxSJ zQn0eIGLvAh;|`IfgM0L<)!4@oM_+){)P-Ay`_*PBhu-<3I}*yUkxS%ULf3mvt*<#n z6~v&~*89W2rfHZ95C;R@c?2uqbz_Phk6 zvHYW2S#W@{TlQBj9-f^cQfCjjSi;%$b*0ufmVNH;WR$vsH^4?$n!Q>K2j%;{rNXc# zo$;%3mwbU#;^7r67>)ivU7x4Fq5k{1MA>gziXDh(!LvbhSHT84On$tDIq>vaVcT=% zc5FBG4L(>3cx}$?sQd3;{%YS$mZB!$I~%6bN0^K@g@rE*?qE2cOk$%d?u$T=On+kH7gZv+G5-<+-j$Hzss9(F}C>_iLxEPtip=f^wakJJLthPK~aBwgW66-AO zZ0C-4UVPNk=#pczz5sj17z~>LimtMx)*aBZ@v(XT5(qBS?ABC(__n>g2Ict!EG&Sp zFr%J{J&S?L(;P)0h||joZWgW5ly3*^Ub^WpEFnY}{v^s**aQ`A!n4WG-n=oHzRl7c)38t#RLgDDFvHUD4aRvIl{bg0M(pFS0)%&* zH%!hc6~Ot+L6M<}y@QN~vbbZGyJL=yGE+P@hq|tGd+DN8;GDn?_RHUudpCk)xfdBg-@9kxB_8=UN3zeqyS;JvoTT)HYOt2G_ z;uUx$Tgm@N+KkuD4r3UtI{iX$&VeE$bM}34(daW>9QrIz6x9?5d|L+xcv?)$pM<(7 zlLF5u@yACL7LCR%Ee{`|Z-x5UOUJGl()Ia5u$?_DFk^x;_n#o;8|06(w4ra>xr-W8Jduf3sSXH-Jszz$pMN(-y@ zIG8$X-X(xFbU{g1pS!bPwdQAI(neaE2#z?|Sf~W^hTbIYA zMS38aeKty$%soB4WYz`xN|WSQ0SlAJ^h>=v;>Vj85g8b@`4G5533eowZHO#*nF)$C zu5P@DL*cnKop-0+p%D9LPg_O8wAlBKtb0clyU-KaM>b*{;sTAO(fz~irY`?ZZk2w)zYmQzL@Aguk;Y1XM<)%!uAn!Av zo$=aNd0y@rn$3A2MPTMJjZVZQ_APlC&v?XzW9~nJ^vLi={CTyp=<=N;gIth#;3WPX2q(xTEE%ZvIH}wfOTkYHBsT^+eO)tA`)o?mvGlVtSApc`5^Bc-|B~m9twF zTkeC?y{D9uXf#HhL|0!yf+r1YxnY_TjL-Ln!u|WY;vkp z*^XtAh$5tUjL}<8XL0);P&L_M_wA&|98Aa|$kKdfHy2OuITd@MtT$S_)GY%y5~REN zslcrtkAA5CFc04tq8sn-I}r&9?Qzm`LY6a3f8b%b&^dt!!t6k|)_jrcK+SP;-FIr5Lpl zFZ${ZjQju@@?Yz?K75{v0DvaQ50B-BDV3!~5)VI>CvgSL zoA2!Gw&Ii8f=Ln0rFN|#Js#oC?w0&1;lq=FfiX$#`OD)=%*sv-dX+}}*>Z)} zYO4^$WN-3m))aF8Rw}6RqLh`kLLD7j4koz&9@H)5_Hb@!ZzZD`cv$7AD^i1gyREoM zFa#BeHcr9bw>|qydvy!&ayi6y<9Ue|+Gs`1Q~jIe_8kOgWMSZiKQBYL%fo_I5K3bl_l3C?=i1uzf5gQ!6fGzITazM_B`Yb$}j)HU6VOM-2u< zs<#E9Q2JrwVcwf@Vg;9LHTR)6xr~G{R^sWB#e6u%mZQrFF0IJaX?@C~%o&h0jtmLS ztHPY}Iro~D?`Ug2yU51)8oWo;E6s-AQ6N4x#w;neLY3OlAM9BUz1E$bmt;bN(@~va zznb1+X!THL^Hm@DPK7ae$-BKd-pIK)q?Qy5USKLLUyp^+ij?kPBw$Z~r0P)G^m4we z&50AHnY#azg5cN`-Gx`{X|sA_2pGB=%Fc^??+3ne=n=aV8xKxPlD+pmc?zCEfWJvu zt)tIZicW_xujHao%0(1;&_S7(!@_zK%&$0SeTl-mZqEX#S57mvZn9>e=sR`;pY1x+{^ zynRPUqmF7P?%5H(R4X?3;m(snW&_tPR5C%q7(kB&elw8b(9;hiUef2jfw5Lc^~JR@9EPs&FyBDG&tPQ;;--NYVQwv#JP{ta-8x?|Ed;((Oe2e{2--6M`Y%! z4D3xDU9ZoIDTNO=K}N_n)d|#D9d|JN)JS97hny4Nz3(VX(8tbng*H@laF{c+GnLn; z!I{^X(!$y-m;;WGDmug^7r#O@Qyc*l6rVdyZVw~-1 zlE1y!mvKVgjEkkd8{9T#3D(Hy?NHDO~3F0UXimY$umy;xAqRe6K1fTT6#pmZu$j?LWcid<2)XW^J6# zUCCt#^W2q`7^-(W#u{p~#{3FdXz36k+p;i;n-m5sUO8^?fIPOciU=<%-=?I&TRWe*VYr*+Bf9? zHQ|{T(P&CYTJ~qOFQ#6uPI@L0L#)Z1YayCEE^Z%KMEWVT6(ZzeZnI|TU-ia`HW=xL zkg*gAoZg}V%}@*ds&pP=By7|YHC{R|YIRlh6^O)5HMQOkPI*?VvAxl}oRi_yY{0U- zv%Izjo7!A8q7g53(3-{eS-S*D(%BUYr>7d%O`nrwKUZM3u#zS0l;EcF`q`nD4Vj~a z388+jgN50Mi}g?y2_Hm)u~A@VlMPXlLWRsBYN#-w#f%@Bt!Fr%*`uKH@GR)v=h@kgm*8@TzgK=jL{`W0kE7iUDN!|Op4&3V-zrM zwmg>O5`B^dtTvEn0W23_cA4`4tUUnz%|mq$KmU5q^v*1xva2x|@gqqg@lc`Wi$O1N z!%!W*@&)N1Q;U>ZmZ-qX`?bn|sMCL^bFSfhVTk?)xzIX&LC4R+J%oQ3Wo_TUeyxA3 z2y>^uX>o9G9wQ*tR@mW!_}n2IqpfBrhr7bkQETc>C$5uCv*A%TkZ4otO75JtAfmO} z#<>3bhe-JH0W;PKz9OmfHD0rBf~jU(y@7#nBSy)AL2m^pJ2V#^PQPaNFa6W1Pu1P< zP!f2!Or`?(8-kNz@h2?zcYcwV-rWQs;!Q>2+w{!;1~iH0a|M&(##wtWZ@xg9m_R8# z1(9S=?10*~6Ia2}@aq;+Sl9({VpQ&y+Vapbu9D9?nQ2YvvJd|Fh<9`@+l8~&Pe)ha zN+E8O$hcQ`c*q!_#{v2MdvY^=-$@kMwZd>+S#>I(T~ECZ^Q5nH$^=0U5PDP7IP!bd z+$<|t&W{lFN=IZRC=pAS03I-V=tg@C)~P>VIJ_BK{8(PI^qrzFG99wYTxY_5bVy2i z-qoCM^z|j?>yG0xhjqG5 zn<=PfEEoKlOSFAYoRwL(=WoV}xW?)pic1RS)S1v3NuQ@Lc)B&$pjr9nKmim;o=GT%8QD{%dj_ztqRLD?S<9`J1@d%dg5-81w*RT|e#Bsk0w#&3IOQ`c- z2d5*yqaQzx87LC%o1V!DmTVvNU=^aH6!x%JUlBf1utBQhh2awHbGM=rSZo4;2)JHc zWX)vxp%`)1Bf7%H*GtML9cfYU3xdJ>{G1;2CBGro%Fy(-=~94)cjSZH=(iz?{q#FTyymyBChzV?1ejMC>29C4`|l3m zIdx!RYLQQ-sR5a$2Upsq>5XnZp%LTi2N;ESzrK?62Y1akKhk2Iin?2io)-3is}>%< z%jZL$hP@v<4P(#x`secpM2YGBz9#G|pVJYdpx?Kur_g93B$!Aw@xFs$RQ1sjE54%n zt>=)>30TPHR5o`bgc*-PZa2tIL4jHzU?(DY`6j z{mFO$Ha}nb4$Q!_o%?$Ik3&El^kL-YT)}7igr@Fj8;spxM4mNE*K>aZeX5Nn_-~Pm z-?+L{FU8lKee5db5yJ8ZtH8`>EkHGXfype=oo0f9P~H}0)=t+d7q-N-K(Vk!F!0B! z(obp*d$EizbI-x|_P-XqrW`z#MDuBQz$WjIiWL}NG0*&Ftw2ukVzDT}4F=T@cR)6I zp4m93`~R})on^Z*83$Pve#EbesnEc+Da%!~f zEsHX7_7beRj3}0N;0$`W(>6D$niLhZrj1JrmJFYD^l38DurhuP>R&o(*^INwjN1YL z1u?xwEi0>S20YEM(v|8%Z0q|ki!n`d{VNX1-=E$OYs@OrXZQZwuE?IjkV{KNMp!sL z4W(!O(uUs8YMMF!sJRC811oPrYO&1f?NJTM7LJqVwR)S~N*O@r2O*&tTOaP6e>yf_ zxoR@WKK6G8q-Ow9W3|j?okRt z<#G_FGOQK@=@#l){?bBQFuW1SDs3h%eVJF6D*G8T%LjvhtVEUjouGnTAa`Pm;RkRSD6wN57sYn{{(y{d>Y+S@-QKvd31jpf3!7tpyXZQ(jQ1Y$KnM-EwUJn35lrQY_gVzg0&K6It>D7mYHC+!)(MJWjLMhSj>B*R`g%7YW+SF zFQIQ*qAX`B908DJJlMvgoiu`6yw8f1Vas+OcC1&*q|@2ttaf20#cMX0BZB{`MR@HU z$yrMpWiX3QUH8#o98=^#mM&xT{5APAe}kU!n}+A-ayGW-TMI0E4+7@UySI_1;yel+ z8k-I;b@8U>2nO~No+}+y_0Plj!T0_9{_zq+4WN|8BPvL2jvR}henln{ zM4$AZ$%NnbM=69X_iJFHAmXFbw7zVS{C;O>Q{`?B@KreiVK$Dxw?iE#!5Sy{ez*2v z2wxJHq0kitr1BJbOs%qu0SI^Z^9UtQ7Vy@QRnDWbkc2q_TQnzXb@#%ZA#AdJaU()b zby8p5;_kTT)6Gb{own}OgT*Mk?g6t(rGR-+=I`mK8%lx@yG3kyp;slWVd0MZrxVPvs?iSs@67(4&pf6(! zNj|ux(=6{`&`@)reh3Z5?Pm)(8IE$33n#?+J;v)OA=Fg!toJPK!Xa@E+`Xa!ry#mG zGJ~!UC@echIrN}jr2M}9qj9{vb12lp;T);X`YnV2wS!-!wXS3J4h}9P zmPIm4(JBRxaKHB~*(X{3QB$&Uh`evzxbG+Lp%OlkVDD8mS;U@H21@jva@Q_NE&tWF z&zSwX__|u6eJ0sjq<*sv3}zrnh*N2y9Xw3ayN`d->zx}7V)mJ|=hdGcD8Tg&PLqsf zMG>-?XkbrTs)VU?Ke)FdSaDHK94|uRKw|p9DaY|G(fKGi_|#-P1=bHld# zpy1ozGju#TsPwdt`53uiDfC`RiqZb4-2i?!wv7xy%NK6l%z9OdE_nW1*5=*mYcrZpJo3sPCD1dZzQI4la(ix2YJ6;mZ zE(x1*3`76{VfJdiG=U{PJTLR!hC*u`Hw4uNM7;ZrdQwcUCS-O#7OhJG0b$dLKkZIB zd~A74t(uC0|M#?UTKqx3ipMjq(}|}SEq9xGFfHEf^{BAgToQ@H3p_!EaTt(WNRNXT&5)dwr^Wyio3SJQ{j!dN^ zSat90LC0Z)RXDHj;=hzv_p&+zqn=o~TP!(w_ea+yZrA)lD9~JpVM40@xfPcuAz#{_ zt_MXk&S=-E?e*znyp;!J{-14j9Hx$*Z}Bv41yj^5fuW$W$-aY~v%kkfp;yMrvl!61 zCFPiiav>wggi9-|w30)wEZpRgt#;!U8F})ULVWQV0knFGif^>Qol)x;Sxxr&^f!~q z_HtO*9x96-Nk~-6G;rHL(?3TZ@@(F!D5!>wh=9}h4v1QXf+Gz%IQAU-SuFR zD9CjaSmP6bdr~}>aZ3h6BG=IR#1*>2ss&4W!W&)HW}9bf;oOg>Uzd_6s`u%z#!jC; zq+yk52Ya?y^Qjtpw$*3mO+@paak@UA!&_w7(zk}?Sq4%Jl?p>*|5}kp66ZU;g1nL4SLW>hKk8?>16i%z zGC*zyFd>sV=5^XF|GHiB9dwYXJq3mc*y3Vve%G77`~9`sFCVulZv`85wUqP)HI?=a z686Y5P7cZsQxe99Rw#?(swFG*sFO)Qzr8;9GoVB?B0dtQ;GFZ{ycuJ~dWECS%AMws zqH8XDM2X3TkRzWGZkA}0ZHTXHqWf-qbp%P6@BLs*ozEbKGveWD`bCNGWF~C<^=`vu zgXfbw&@jgPd#gRH<Q3*Q$xs$9W}B3Bje% z9gw7s_X!Dj(H@;23ytrRw{VdUC}Uf}4&nKaYcu`H7Lgu3H0_nS9?h_==J3$`(mE~R zqypCNgiXU!NTtv#X}0`I&`UGDPPF1-KW|{~xNu|E3%ecDAmd7h}5OxO8GR$0-*#&}jbE z`02~{@tL|lSoMqRmX24eoj0t)vmUR({ESMW>J%{SJoG}aK;y`^gL*-_`+~H_wQyuJ zU2>$}^EAFR2PBDSinE)Y(UDAu0xGSqTV&!`M5713fga^HhRSiwSI~O_`Au-{LEpC- zk5|0}SFysf+cyJh8Ne6zsiZICp~8SC zR8Yl)S^aq=1p>Tl>BtZ)5aHGId@{|J%G|-Q=M61u6 z2!JLoBnE`vP!pQbYzQSA&HkR_BQr2UDvf#^vA-uATVn6}1{;6l&CaSTRM>Mq8$*d*X3T%(Z@u$+9K3usYDR8;8_LFgwwL#>{guU70ZNFeiC|OJ zMub~aTyxkbAGw@`li8<1;3sEvGg4|z4H^A;2{7F_;YaSkAtKs-gAXKj4p)@XhV=M+y3y@); zT1>7y82&Fnu_Z&Yqb?gxWefZ_7vXL2@6i}nTYTvjGaB`Jj`4^0F6x_`u8}#0&);SU zlp{ui#1X2-B9Cd#=j6Upjnh5Ba*}l!^YL5@F3kEstKpz)%v0Mux_x_NiVO?x4{D@z zuYrwZakzoxM$Dn+Hvyd9@;ah#6;^plZ&}MWVk>f{J+RA$%*Ov1(rb_39{(&#c0v4a z7(uMo%QOj^z5b+MHdw6}^M-joe_IiN;wR9-pWvLz6?Yo2DEoM$%A-+B zOTVdb^_RN<431cL?(BL_Rqp+J_rfn1V2!3oekjy@S82!pEjy&R{x7%FJa)r5G@*wm z^Hp$}XD-*%#Wvw^ql8(tW>7XBZOM;d-U-20I(W`x48$m_ds#Uu1+W0Jm*X`$SaASq zlm1VxPGxXPO|#FJ56;IJs}$ZG()V`kVfjSbGi`zRsrCNVx}PZ>+!3ouTnx7OrZId9 z@l{n(*H_Gcf^_lN=eR&eP;-HLcK0xxk+sX3G(@-3*}$A*C%~xdbN{~Q>$E-0kF#>8 zy!koaZ_E28a+i=^xqsbqh^`+Y!s?%B-!OVZ)3}Qf@E9-&RV=}(oBufmA zkJ3vVDRkis-r7qCVd0D`4E-M+$+2+oE%fhpD7oPaJhj~^6 z=V&_IzgPPQpt`w68!>eGFZ;mr;?Za7?0m*MKi-j)RLkE_ssLOz95<|79J2#s6YiNL zx_og6*3M4hQ%t=_1Y0R6U)u1K2GkkUV)A*i8V$04uCDG#!l-pYNzAX@TZNxaOcxuV z{Q7PPpI?giz`K_Q6O&mnr&RL_Z{p{@D89>O8YB1tm}T+6)wttG=qL&_3NWCq_Tlz9 z1>d5vCJF)IDx2<6l$P2>rrNQBFQO(47>n}rUh!E=HFr6r-rGpVerAnjs6BR9L2lGA zE+-rIUQb2k(wG1KPdcE-pqM`keZECUyf>uZ9Hn+`ExkRW2Rb&hgyUkgG&R{$_sGn; zS4FE9dl#W8E{vt?3%U}FEXM;JEQw$eNu-c6S-<=+t;;yqN?i?1{}!<_PD_O$F7G>S z3?jJIKKWzeW1#iM4mdCh=|57JS5H?i*rlnZHw{u^U{PcMZtX;e9S_*?QqL~O)FzyN zd3GVx`aP=Sz-D{pX~Qsf{4i!s+(={Yo%ddBp(Hd&) zy#DehRg*_xs$$`$MSPMZf-`?JIpLX22t7M+0mOIzyFr4h;2$o@iW_5WP)hn1WgUmn zs8lqB_BD4D6hh<)>MR3obY&f{D;Gj8c>m)>G8#STFu(k_P}Vv$3gQqJCSS(_HP^z8 zLVsqbrR*tmDVA}aZq8B=Ml-5h4T`**Qv?xnL8q=13*b$tB=gnA?y{k+Wl@ zLCAP+6vvj^R6qf=P{9?B$mCIEu+w^}{227)%qNg%-Ob3lRNvFG09@~&Y2UgY*59dq zxo+L}GxnRoneH!KGq~p`@PL)lmB!lnaV|U*FjO9XEt6}K7r*u3@UmneQpn5-9@s4J zsMY~npqrLx;x5Vg5H|a9`gDz7`A4af75S>?f0JEn?9cptk!uAy8^35K9M28Rzk8{n z7}eQIB~OW`8D*0Rv)h*Y_+1T=x!ejk<+MATgg{o-<=}uC^bLakR+{_#^+xj9&*3p& zxSo%}Xkuis(Axp^=qw913;*6>Mq~l;;LAsAFyB$omu!{|B{DA{=gvG6Uax{asrEmw zXXaX>+prD>>#xf#Wt!wMcA~W*sko`R^3c(b7!f4Hj5M4g_}%KdQ!q}vF3MDACuR;{mCEY|Z#ICizzaxqo@|L=6F#?(hG zr&4tK3e|d%Y%4Q!`{&xms}WEh9&sFEKk35Tu}A+GkNYA|O4Oj=I|*aMgV3>$4))Ie>NLraa4JJDi=L{$;l%K zmE%m?BXHeof7NZL%$Q`zzgCc(*_C_0n2e^;qjd7ulD@?oDTyA&{+$#sj@CLh&aeJ$ z0$Zg+ivi%LXXMUBLbL&Uv%}xF?0gD2%f6^=4!K z&pO!00QO^Hj$->K^~xNDIM4!P#we_7C2u>mj6Z>GV)jo#&>sgIC(Lf|Yu1U2!#;g! zNXsyjbStilJ^9s_a^`HSO^^>T0*+y4;aViec;SH*hM?c$3+GE`Zw1dCAm;CXS|9Lq1Y9pUWOD#D4+lMCrdX4>-6~1Wg(>bLXrjN%gN31h zzd`Fq4g_zeO#MzSZLceWa;y}3(R4`%2lUNJffd(Y;z^fw$+&Rb+hygT#HpY&-Eh7Y z^0#1|EMt`l+5!lbwbb+rI59&-73B+V2<7prFi79H!(vUdZ_lr+#pdjxZB`}cPW@bw zt4X|5<8{OEslx3-HYnKcL##TA-`ZBHCFf_k&v&svZKxaVvvSIeCl?DyIF9Y@Eqh-L zz{&(Ar>>{_C}op3*XAD{kDUp{dDRzXL)*9aF9oBh{$2WerD4#F*1XE6RR)~Ey*7fg z7KcEp7vY%HJ&{zla3RT{yP>Gn8dp!zrY%d>rbMOq`yO*D3wI45Gn$7bhnkd|yC?v2F}zLk%&VnPUl=gf(Z*dKwmffL{P5JD4|weD><*N}*NN25Ux# z3OOZpNV9;KF_%MsbZ?1P3bdMK%1Rez-GRF@o}x;wV5F#FpbA~gy?ohcY|u_l_-UzW zvo~K}3SkUm6lUTrOG%y83wQPED52ha#5wcjgDV0z?1c@AUZ#Cpw7}y%094`E*y|~C zL-D!w(!6b|Nu)Sm*>0^Og8omlf%Zam%;$umRkt-C@hoFK4(F#?u9yb?1!^Y!4WS0Q zIBv_UE5Hm`n!~EVK_^P@-K;Huka3DgOOo?MIf2Vpl#l3!_Lzjyua*a zW(f*4kO;uh2Hix-kk>!F#pdFCJEiN5pMdd+)U}QL5+zlYECQ_L*mOw>N6(4u_Q<|A zil-oV+^s%^^uUYlg;Sw$k>5%MBJMWUUU99fCJ~4q@qu;-9#=$aG3o7iPT4Y~v>H~M z-*vFS{P5GksFJs8xkL;d6Q2}K<|{RDq59nNhuz|Gwe3v7|K8IZFt#5=^c_W4K?K zVFe6QiEwv)%kq37!KQ&fw8tpvf$U-%4LGIH0Y$mv#w^$-Djh06mm)8hB8zZ6^+yRwDBS(%}MEQy=b_PCHL zK`PbfuP_h=nb9-4oqT)IMH%TCDepZNkBz179sMIH(={-h_NV?W?k2I*4fZwY(XZU! z8CD~Ju4cw2N0J$5lw_PVMy(20lq6uy^f6(|FxAiPq@#d0W*;s^yCbK!X%6o2Qmgc< z%y1dYR~TRK79FDgN2E|PwV_O?D_?q$0G^}pXIXgrv2myM-Fo0`$uM{m2J5E1U*Y}^+%`kb#uP@^=`aH>{Le%{ z6sPckh}c?dQDbU4Wv(BU2HC+~%Ps!hh0OSO6K)}XL z@KnTq>goKP|MTcKu<}VPt#y_E_%$%Qkg^`TSZRVJ8T?Pi4ffKEfT>HrT^^Cz6zGHw zTzmw9j-Oiwrchx5s3g=W)h!>q5&$Y@2pD1utzHNNUj;-ZJ(k-vXp!zKO1NfpjHz?pto z*az2O6(`Vkr!5xup(Xq#n`4J;-4VJ+PUZ$!D!j;%baNGQvZOg^Odo@m%s-~q+~Toe zmDwPl#{fFtAX``8u=HX7QW0L&OKgRmg5f-PYQ{#eZx0qz+hMawQej1EK$fGS#k_E1 zV~I{oN~CCI)jLM+&=N)HH4D2MopmeGlWggdLaQt-K{-7KITRtfz1cc`=wVy5FZSZg z>{xxe{S8^rGe;e4BTxTNugh=#++0Xl7}aKa9yI3!#Ka<*E*5ZXVTV7Qu56>suz+*^ zAaM&PGY3qhE3X)LzIiW*a@3XI!q@LRNzqhCXV11Be|Q+v8;Gu%FYLh0u~FbxZj#Hf zgFY_$jfRkVz{+r*(;66m;LY8W(sAIpF9ZlsHWb1ZYwW;TDIMp{Sii+ZNX(E35uT@-C{nNm?Jb z@G(jvc9bMOzciTbm6F)|Z;f2&2ws)e{3DWa(Q|0Z84PE3;Z+7JUlm5u8>zuccJ$XM zNwpI=Cq{tq2Cd2{5LSyBIQRTJ69uy0TXpOCY0jII0w|qC)cNKgAdmcLpPZ%x)?A(K zg&Gz@BpG!08BFS|^Vy6!g78tTzhPzPOT%Av{{=No3gHwVqB^1Cq_Oa~t?&KOw+&a@ ze%LJTvq_8_sihihPKEk0`jjr5aC<&?{cQD~Ug}+ZevW-LaSM;p<7(jUH4e=)GoRWP z9aA+MTPDP@3Be`-e@49bPnchEe*f0~KW$B0+dA@qLbN6Hsc^WzQKkRjZFEEPD`YpS zZ3`t~e2;)ss;t1+2X-N=4cJ>8d8odC`!@b$kFC_90*mty3hhb=pN&)r( zXWS0-HXU=DF3(KmT^KFY5%WLcM=acS@*()Mv9TZDxbTvo!fu2;UCM_n0TlA0u{k}1 zV8aLf?(1k}DX-ovferUbGiZXax2u9`QTb$Tz;Bwl;anY6?O)N%3`HOrIZYU^DJDk{tBLI8I{*+>r}37@FpH+ZV5L%O?^H zlDRL?#*URAs(V*M)Y;tqMYx^|hF&G~zW-A)_A=v>@WPLw_D`07rApC6E&SLs z0}e&8phebJDk6A#-j7k{=y0CudeFJwAf(cNXJ)Gl4u02`OQ)$Z7s}^7;@!w=$>Yw$ z^R$GBeij#0;nuPBstB2@4zFnMiAUp!6yM^%8Ty;X^!VCzz#iZm|&j6{aW2Lu#7FIOu@ zwwRadDDoWHFBcZrBE=q+7vO%LiV2Q>bPwwxZgpa?&%cG0ce3bsx!9+H>6e{dlsXX`J=)uO2gJK?&`7%m*y1{!2;cytn%vdg`Aj53m zH&GJZ{LhYQZSdz4#7#avO=Yjm$;!5-2M-d?dh{%gKiC;(-K(#9Hkx}3Fq!qr_N!#il^5XF95M)nqOV2$?EMo%KXK}W}b1!Fli2kTos zIhr~_Ul_MYvvLE_L_P*yF>s1MlJ)D%vhyFQBgHtd;OtXoYj479F+3bmEcIE@*a=Hg z#$-*xT@0Beb=zwgZ-N(L`Uv>VcBrq_Z022IUgq)fNz_k;vz@Eq=ebo4bOJqPEEZ>o zc#$VGq9tiRT(u{vQqee*dn*J)D2K^tpYdq$OK#rGSymW1A48tY&u532aVs3u&C&e+ zS5myAi#$OnvisGvnNNQv8m!QgE<0<;x6NA>qH`klYq~Ac-Xna9p=7vk<^$~B`g3sn%r#>Q4`*Q)D&V?utc5vH>0pO+#bThK4xtY7l4 zyqceI5iD0XOv`h_!BZl3H{do=8Sch(y7DTC;w_o3>H1ZBVQFU<{^}J@L7`nZ(G6X1 z_bSKnJ!Q$=AcGg=F+az~hIbpE(FJTv-ZqON*6RFq|GR12bLD)k)Y0b$G?%AJN;f7a z*S@5hXKP4eo_My$O?PqLN@=Ugz-y2&X)72YJ9g_nZl4(HrF$A}_@3T+;KaP5`VH=& zhTnIBhd8_r(%Ur?O$(M22fQq18$^g?IbTcv9fFhNuIW0C00a)bAmM?>xUbc^&e2j; z&1g_L?H#EL#w?}_UXO{<^9O3^`Q*fW?nwJvnAnO(KD+W!ce6qAHU{ z9>dHC9x<2A$$aue_LMBM2zon?SI0u;1N+k~-DbVhhP(EcoVUm3=tf^x9p0p(m#(Cu z@bx{Bmbq)(?qz4&*19z3mH9D0@GY40Lk6$Cg*FUBWBcvZ@&fOJWn&}ZfO&d^amth< zZzk{fiMJeIob`2~49U7Ig75>Eak2d+l?mj>f#NkKtDV+4khgM;Jb>)uvmWTZ0FphobGBxMo?hPZ(9BNkrXYqYeqoVRa>#l;c%9{veaNoH@GpT9CPNQS?5 z-De*G;?#^uO2Ym8IUGrNM>zgGP>KmPmnUZ0@(TE4 z3_7JbDe*v3Q zNPY-__G3FPGENf{Zhk&`F0 zzfo&#@Ytvby!36h5cS+NEHSKXT za(dc&W4x4T<&83%Z%WWYE83z#LtY;1lke}b`1trJsHkqRvtxrYtAdgeHvBSdw$ZC& zbX50Bbm*JLJAO346AnW2r6#pIL-(2P@uqaNwSfS^ai;m|qOgi8q1IRCTNL=vKapC_ znT(b;>fhx#K~I3cKmVgnT>s-)uM_BV7uDV_=MS1_hRwc6^VNrQVrZ6=6;>71)efJJ zWfM4^B&2;0Y_-)4%OcC)(frAsF)TnK9hnDKLF=oB#HR!KWV%}`LO~q}V{Gsz+l}#eAc~fM6zd8c> zWkxrITn~hSd8MSK(Gd6JuisNt4Eyh97#J8%BX;m^adXRidWr;3AwJf3b$82gy+KFF zoGf4<7ZmLN&eWp}C3vbVJA#-=#7`R6@JnDbiDeVCDl{&i4hI9diOp$~_$oO$?BGX^ zJaUCRN&%OU5L4@XW2-xk-Z$g^Y0rVmj98&Q3^D~i7DC8x0}s*J(}PjKu(9)}xZJ*< zl`4jmiV7Q1=e5nKt*!mOnX%MNNhzGa4$=&z+e*Kkws;e}N|c$DO`<;xufsUcOtYWC z$#QYr-U<#vPft%GE3c-8qSkR1z4dOm<}3T;=9CnJ>bD?m9jBJUi-zz8E%JqDWzh8u zZ(Z=|K=(!M@Hfr8XN!7JF*D6#Dcj)tbxsk_`uzU)l{7) zzV89a`B44BRyg2`g(X~g{eRyR()QDX3^K>y%*;$*qOUrakH5IDYrlT;rjX%_+v+v2 zmk5Xg)@KLnC%=<5Ep0l@9|qjI`?TIP{>Kk3mTZK*NfShX#J6w5nSw4z!7Fqe)@}R2 z;KSUl1?wO)Sc1TLs(N@+la%y4maxrigNNK%2(gT)9}+GvFBDbh1C9zxKc4?HIVE%L-(o5=dM1!+*3=fkT85vDhKP4W>x=UQB8x7WNy*iNLz5X%9o$E_MfwJ<(9qFGl zGuQ8=mdrIsjJiJ^NGBby-`(F2DKB?Q?)xRIQbd!j6{Blz9{;oYDXXX`wd@vC_rpA; zb-nPtiT42iqA9ugpY+opm+sxWMTUJZ6P=wXODT3dqZn@9nv`W3tHkCHFb4gCuRy* zcU!;da(Ja%`8?J*eRx>A|D6B^HJ>>q!hP)r8VpJ4oJRBAiyaKl?YTG*6C6F4FZjK* zly^h`7WZ7E)U)^iG_@DjhVmk#ql>813(iiK62j8@LANt0F)>@`^iidua*RT*(mr>O z=-R6kIJ4xK_N^`} z2L}QRi+QCUsaOU{{gdT@m3~^Jk^Cq>v^_B}Fd(GimvwMPAH^nI>Petx%o2A~`n0F_ zbW2xXU*x^TPuF&7pZBQ858JpW9(V2n{;o%;RnYbI>sMKC@46qFvpMoO3it1K%+6j$ zWllgtR(>q zQm;g?u(0InMP%o?!~Ytyym-IV@WZ05;>cdxy=8B*)DZ4TaTXoy+l zwLLdk=dxsdiQf`*CBtjc68rKcx;uEnkT4~fHrlAC(auEeU+@y=jq%$Q6cm;)ll+2$ zBkyaovt^a1r>8e`1HlI^9UbGNqw#$ zHduYj@9!uW;-5#<#I&GvXoGrg+y{WVVuc;Xh58UZ=FPr%A)E0`cjqjbJi&OiB7Xe% z(IeyKklR4F1InH?D}Fl*XdrUVfk68G!NkGY@V~ZPehd%GLQ_`HB1d{trctnI~->FGVVj@Y-sWd<}=#^TWa-TQFy6q)ad+Vg=yuVJl zkr4|Ei(JZ&BE90!W>ei#vqmaWr#Van0LdNdW9tUL`N)T|qZNqb(ebagU-y>#Jj@f?#>c6q zYn^(a6IBAYLD>R;g-+0)H|EQNJfvT0+;ulpgMy3<70N%VrQn;17tNOs_wjxC&j!R2 z_0u37%rtrt7web4)aB}e@c3tW_u!!O?QIj9bRmo}TAjG97axfKCl98#x3?>OiWQ-T zKyd-|JPb(3Vn+mEuJ~84$duX0-2cwd0+j3Oj3W1#S`DkA7kol^cD$Vsbh%+67H}q1 zRb9=J+-vFNM9jp*6w4@02Y(z;;-;P^LiF$7zsUG_C2ego5OT+{wzl^6_GV^d!*psn zWv8}vU|(KdmNU*GlJIDAc=dX+OCF{hJ0ip;>i-qa{u-=nU~qSXi-eRG6QbuILfSi+ zkPq)4|DDb9&>P*Ht|iX$-;3(D28b$`F;QxA{MtcD;o!hU)H?TRNmJAH>ZgOKyNBeT z>EQuzAKgSNGE)H3*oO}vo|+Ls9nk)NtOJ}Ad62$gVPSyFJ9n3QTvi7d-leAII82n$ z$oPwOCom;=ZcPcFoIxtyoNc5AP<$WYe{^)TmW~bvH#c`(eLV{^GXfg!hGt}BOl`dS z&!BUTW={84!+t6T1_n-6T1SlUo7Xv`-Mu^@2T0`%r37G(TtGv(L_~^)hBWHx>Ow6K zjQ*YMF71Nq;v=93A^*skn=@{1Z4K2rS@@qUMmT$V>if-h#ZXs19b|;3Vulh;SXj8C zwl<=+R@B^QnGz)yP7~bTLL&M>)|1c!u3$6ErL)wzyk&7-c3qD5o$M*-`3l!;=KiF9i{ne+Te}{ zLx!paAn8HQB?P#?rn?Ggor03G4bslh(b3v$qv*?!5CQL<1*LgO()9-)z)uGo$P_e3 z5?SP(AqyeE-w07iA7FW$55V8ut=joqi!Xt63FQ!0=7X-Jf4lmGtiozk4}=^3XOsMk z;u>htTw{ovA|h0vHcX4K1TYCc+&z#XiEJ6~>m#5Sbwu6v27?ZfR)hQcOGsma4*+1uNPx?W?D z2nFF-bcCxL?7jcN^7{2_%aMEy1cI8HT0LEi6tVF8cPK=5#2+-(M$auRb8~>YW5v{f zQA5DOS%iftq4w$oD2;|dLqnTv3Giz^E+^CigK>dc)3Ba3 zN;sskbV;vkSEqwPp%=h6bcYksTiSe>BQGV?QrFOcmg+D1Quy)!zR(Cf!ZbBAOUlYh zz`(hd4W$KQVQY)X!omXBQjGlke3YL`Nl7ukQAIsBgj3CvKuD`)SUI=Ok;KHcHfQN_I{&dc;n3{C`-o4Rpgp5*#i|gyRF4ClYs&WBg+}5gcdu|KhR~o(qgNzNV&TSV~IDFQ7T-2Hzwl<5GDS+@dD%n(cxVp9~+y(Lp{BZZ|`%x;W|6o;{Kf~?C=&U!*T8nsPgcc zn6j|%mSYi66^sR4oa{z}KOv=3Q&aJwu15N|wY5bbbeNwB>80SvoirA2k72BjPv{2_}X>px7Y5 z(HdfbP{CUno%JSjurf2tTAxC+?y0dG3GFE?Ec~v$z1)|=%E?(Uw~v8MsI`%gg2D7W zs}S6}As!7C>Tp25f{F@n`=+2EInK4~2(9U@>c@Rl2T*pH(+&&_Kma7`_Jz57boKAj z-sc7@>qBjAbi~f?ZW~Y|md~G?m6w3OJX-$trhRGq%N1i+SC{dI6W~Dr>k}LLE?!;+ z8xNrVHEi^}ZE9*dx@Tl!V!hIz+P>5R;be|{L}*zIq2AG_}kc6L$6bAFoMP}49XmvD#~DTcEG z&kDOMZ>j=&M}nRM)zHP+M!E5RczAgG+?@GRCAGQtJ>~PWvm$Bzk7t*o3^8m}F<}Q# zH|8K2oth7+fCh9~AHIpa5>yy7dzmA3($4^ zhuEB)3VZTm`ImoWjG{eHf&tMu?$m*nL85-V-cY_lxw&ydhNRa6WgHwFQR8wLV*F}v zZ5^Fm;7Ad&o}QmcIAI|3g0B8ay!q(<@4~0_w5hon$*9AiHk@~#xb##PLpN1D-&5Vg z`Cz=%M8NB>DQbz1l9JN?w4}6jsNU@<4L!YsG+0{1NNnMltBZ@BJANgUIqv%Uy1l5hqF}5_`80!G%AfMU#{`k=K(rFQ z^#FfixdhNAV$2t%@bW>11Pj#quJzaJ>+9F1kj2L0Q^o>+w579P{m|9jebiU|(5<4T zX7qh|PT`PzIN^(|tSk~X1{r@EAXmbHBlSK08}|YO=LRPyE)@F4eayM}R$vuxUFn|7 z1EUWFAOsyW1Q?#ZXcrV5tP&D*w{G1sHo4#VsFFYVleiF-?)ta(_T09mZ$|3Dj#-pi z)2|YflQ9tOlS%n+^9mU~kk6;}Kkey;PzKP@(pmw>b<%V9-wPlQ2+;CPdG7c2OG#YX@Nj6e?wfp-IzU})EMyDNFyfarZW?_4~eD_I_gy0A9?rf>sj*gCU z60EFwLl-bn?UshX&RG@ukGVo5%N?oL8=Qb(lwrOv1kun6=s?3N8$2>HvI^Uw8;g_m zZmZ4!L7y5*=B{D@?Sd>SDsqN##@@d!?y8{7{i$WH&PCpEqyw_v^X@2i6%`dZW1ZkV zp@v)UbDic}CU2~(!(H+O=s5ZW$1YC-SyySKrl|_d6cvwQa76__ zCN}nX+F~9XS=7$BiBk?tc)J_0)r?GV;W2QfPaX(|z(5(GdBb{~ns%`fhlK^;Rs}^x z!^VNA*`i~94{3*?^=EpB9n(a?!@SUi^%RT1Hi*T@mD{&(cL4<$){~QyW8VXF$^GFA z(1zG1W$}#CTqWXne$tv^208F+T zNEfGjx_VvOmjd`7YR19$!fG3G&on#0W_dqA1}pk(koZb2rxhxw(BqNnr<&ND3g3ev zk&U@JJIg96Vm-39b^)q|kV)pcr>7@`m39bhp<&$+w^2;*q6b+NCagM4Hv5Spn7O#{ z!H{uraRIau?d|Wo9BmreJbsK;ka1fFP=A$HG=giCuuzDB(l^#5|I|UN5KU4a=uw}l1UHx5fR?t6MgEG^5 z4^Uegox4fTU2OH}9r!d>QUjTKc-eC_KS zsUs*YFE8(IHkUcy6udZ`uxR&=E;cCt^=GX3(0snq`o2Ge9K#x0Qdd`3EiJ8JsDi8# zm_9e7Lr|D6T zT00*%Jpb=V^ck$b!sq3oz)@9ItpGB}_Y`t$zGhZ@g3MV#??#FcHRvNfn{A*()phpv zT)bUXb0K|H1@};R%!wiCJ011Ox;JYeN`$ z_Y=AuK)1++q&PK|Ha9o7!f9USx|lNp(g^3RThQA5*0bl&0r^E`XEVpr3St9Gr)X)( z{2%Qi3&zpx@o;4zgTTSTp|iXD7dRm>4bJZF3ScXF+&waOZ{NP1tg$0Ul@38yfv}## zdiO39SUwop+RthZIXO9!>(^%%-rtnnqC!Kl{ir3jbg>t)v4qMWwE-_-^YZe7rL_VX zwy?Ok`+Cl7={f@gYGDQlY0BN*-8%o%JNWqcT4rWMCMG6zjg8h|5wJR@vr)#H+rz3| z^T8(ps_{`SsAN&ga@WE16%=foX|jPnNos?H^R literal 47349 zcmdqJbyQbT*Dm@a1q4A_L`u3Or9nzMrMnT32I)qWMv(57mQG3OmXdBkx;xI=zVG{e z@A=L*#<};5^T!?6F_2&Ez4nT^=6vS!%tf%GyaWas5gH5z!;q2`Q-;CdX~7RA3NrYF zV|e5a{NiyE*Km4cYv$x)=wJ$yGjy_hXY2IN!iem>se_}1tqnUfH!}+(*;^+kJ4fCZ zFRcIL0%ltW^B0`u)kUBYR69vcM;Hv#5c+}pDwJ;lgVh;Hi3zK?rtI9hd77xE3f;8~ z=~|XaE2mcT%}c!)ajN7*!3cj^@d=(S?D<#HuC~ul9uN?BMe+&?2Jl9(ud;2?u3TJ( ze+^hX3}{CQsVb)UbQ1K6;aBD#CK+=D_2`-H(iS0``Q*Z!Xx>;AD%IHY2uk!aeDy<;tk7<tdKi2$PLHOz^@)t-=4{=NQknin z?};sUV}L(&FK00P7v31j0?C~5*feBta|Pv>fPW62fi{PNmLLdAq(>Qyw=crM5VXaJ zhxBhBKl+dP$+1L%@9)>u+~NjzSBHXb;_WoWE;jQw8633nML@mHCdO?y%EQy%b49fpR(jYh*>jyplAGsp&|B>L=*a5$&r2_6Eat zj((pvC9#Dm<-L?=xAwRm_uT%Yy($aW-i~%yOyML=cRP=C8jPQbcu%E7mUSA0foD8M zqUB_c9X(jFT6MjfU_FWKV!=~yC0ufp;pQRf=1ESn-;3jn`q7vFG?$GCxod?mRdywI zH9tzt$#ovP$p)1PgQSYXeU#8il(xdZO=b*3_BA^pZ*1#fCha4V)K`m=18yxc*xxLy zQ7lwHW)Xc78zW4YUNs+1Ywhs3vO7$)cHKtW9-SuYX=Ju#F)OQ5Ve{3D7#2n$pZJs* z>sqh7(ba9-`9L+wFoAoVpe;@PHPll@72~!;@5sQ^*;%{Z#NA(2FIAjEjb92IxVkF5 zpcu1Y@mmhV2u}!M_(X*#hJ%)egN96lO_*G5r1XiBjf2be@kwu#7+h8l87jO^g>QKQ zu9%VJq$nW+o+dIu`R&U0%m(KfK zS6mPdTupXn7J_ce!j^go4|=E6vxZd!o@y9VSwZ*2j7fQhOQ81eOX8l3N zw!rxOmMCBqwdp0xhj@jQb|)SCuBs1Sb!!7JQ|j$89-Y3%lA%|0MzGQRaVMIc(D!V1 ztrN+-%IJ**N{Jz<$n-1WF$^&rcDU{f6*S`*x-j`%7JMm+q_x=v3$%vOY3x@NCG8w? zEL}^^GKA@}%PJfg-v_ufl?>imoEV8}!)6;hewF9)*lxeZO2Em`ao^MWTKH&;!~Pvh zNVgA{F9Bv`2kij^FqqHc99&v$DkB^I+W2HB@M2wLA?UZptSl_=G^b!)Fh5onKVgGu z<+pLS&sjdfcN{L$;;Me^W`Y(91{?cUvyMJib(iin%TdD9G$VwnWWenr!)~JV?XG9? zUbjNyVt=}|bYZ+*F8rY2Lw7X%msn_yHm`nqXBtW2CE4H(;ITR`u*l&Y3vh?Ax|%$; ziAT{)nr@b2Xuu(K)uDjB8g>;2ha`u~%1-Xk5(eU>orIKBZE!rT$H=8c` zw6Mfm_e%ZzB(E%Nab))E(^>tZXE2m7;Ry_su(oaddbNO`AvQ?F%#SNu)`KiWlrY{l z!0B>jm<9y88+cja-`#!T4AWfcRHMl0yFV;w$*`$*=%?^Z%Qa>B)c=i19{=^f9Oj2l z|1TZp|JI}a|Lp?l51zl-)7vIXv=8_1@Amu8cp`~;{9kx3KXkpGU5q#$;=|lX^I$G* zzOwW@4AuW}aBxsD7yz8{QBm!6gi0PyG_eBzA>v-+ezWOq%Kahfy`Qbm_3Q`-)Ba-Q zGrl0>?uccdyA7X%(=wlDw%*6d@y>c+P3X%=_W5u#zD%lg;qe%W0zAb zTM02hIOY9}Mcq*!gM9}E7p|wl`Ofs}jW77R`k{Bkc3BI_l)jIb)G-B^Ixn?;uaEFw zs2m#S>z0F_9%N#Ap=?iy4o~z7xO>Hn_jL{ng?l{tx5skZ?p$G?j|hn?>RJu$j(2BEkeO zdle{1BA*kYuYl>lOZna;^Wr-$7`=c^^QGC3ReNYb>dqHDQqL9SQ$%a}fP3-OYaFj%52a_xdULtcLVVe|QS%tn{}uKpJ-VdiOW$mw?{ z`OC+b21(S-H|sA}<6CY_KeVs`>@x9nat~~f;wb(5tEr*cGN0RR0^;P^54MZVUPH45 zDrm4MS!z~J&JWO5ty_)Y`)1mYU#G)dRa?9I;{NExVF2k3tb!2%)_jutf;^`8%drdu z%@8bin?<$x8P-NJMTcg=hI@A2eR_V*XS-phu|HG&kZaCPv@LSF-1x!5X{pQdg2#U6 z<|ggg&U8R+(>haV0w>rdTB=s(&$NU!$$=$@UUBoGqJBGrS=)MTYZKhm^)ojPxHXPD za6tI042+@5zd~fEBUXo5UFre<`kh@>RTZ~wZEfv~3wx`nQs)J|9ZWjV=nT{-nxdMd zvGH?Qk)}MbrS@gJ-l<;=&I}|zH}2%tOEz#TIyn&f9skY0Ji zE0cFeJnL|2K7Pi3G9tRUyX$=C1wI*?ebIE#?mzX-Y6>o+va+(O7p!4{TlITrV|{2k z47YV!xC2XtGRCp-%mea3PZuwcA=CN2ySh75-LGlmvG!Slg_V_cpOeJ%Kp3WmkUHlj z42D-ES~BlK`%05MUf-Lip|KGT_Tu{qcJtLl89wp(h$!arX9*HG7%<+IU0a{VV?iZc z`+lZc7;NQ`TktSgftz!yey@ImWM{sS0A>daDXY4=Iz=Bq*(f4KtMk-`K4Ga`<%?bg zZ-1IJS9pmCVqvyKFzf*=RLX5egU`Sy9a7CqV1yss>FW@|A$&i6Xg z@BXB({7$y*s+bKa569mqEN_lxC#0nX^{4YX;bjIded~V5}J^Z@QQ^{3|w6L{Y*>8=l0a8kQMYRseXUF6Ri)5aw}H) z*F>-)z6JH>qu3^xm=f;I;NlGi*gpuci{D%=!L{Fatr^(Vf%OF9suM_64D%m{9iQb3 z-TvVzdd?jGF#T#gKc(eF*gI&x_H3z-$`Xl4EKjkb? zws5^wRHpZHW6T-hbI)9Zt#T@&A35>ab8M+r7E8f(%ZaS+a_{kWeZVV(wG?3w@Kwc$H+s)Km%U^HdRyXGgmFkfVGZhON@?< z1(>jD9^B&K;JAYAYWF+Q-01lCpv;|TvR^)YE8)oXmExLfdEMd+ z{@atWi`kZ2?VK?S$i#PyNjui#^&`5vUZZ1REN6ZsX?JP4)&)@(eB!z9vDg8kUiId% zc`b|@fS9-r%clKtPhYl|FN2Co8_;@9u;t|BAf)omup@|P6$&2OHuXq_g+{=W{59*8 z7p*c=7-HE4x$>!uI7+x!Xl{?g^D?$4>QiJxvi~{j<0`tTwN{tSmB02)2W<~;cFctw zYn%no$|Ld6Myy#3kLRce0;5GesQs7>DTC}(#Gzk)(VKSklA_qRyc0RZ|tVu-)uaLxb1x5z1-vl z5RBS8c?fZ9CM97ime&6!0<#Kh6*!*@fWjD3_w5QnODnXWV6Ay_$p=?cE#A|=B_VtL zIqr$4K!(){0i31hq?ag8y4@cIPsnu~2RZ*D(aA}*u<&rmr?&0QHyS2U^OImgu}wJI z@=k^(5G%TaMGmCZSPF$G7bfrCJ`~X~{VuvCHFz#uE^zn*=i($^DBP7_a6cg~4*%x5 z<^DRl*2S`Z{lHS?p>?&CJs?6NrTOCozCYesnELox61%}h1oz2IhoFw5Jwc80N10}l z>V_BTs*789eGFwkw)M_==REemUjQc&fI}ls_F0k);Ebv<`3}=~-JqwoO^>~OoH-XE zDuV+wI(PibFb5CAI}*K@;nf&=3bDdcTKA*X-$gad^pfNZMK=%8UPUGs=}KQg{tELmofNC{ah8 zaSn4D2G|*1bg-}r>L!~XGUESbnk>~?X+&|Sn|f=K%wFL>ffsa3G=Ciz0{@q>u@cqB z+BGBviF0MBvfP*$MMPDfD9R$(7`=U?V3#|$-WIVrSp$vzlx1d1xppj6ITwi6HJ ziKX>*MR_I{D=qwy;1dBZu+2{oshi_c2VVykFug%LyeLa~HX-x}!I!CtH2wcdVY zY^9Fl99{DKFa1^U5Z-vx2D9XZLo#s$9}^;+{tpPU|9k1&^O6%p6!O!y|6+v(?{f3S zQ3{lxKF1a3bNSC-Ux8H-nUecNA?oq#qZRXBd(GZ~v_d47a=_crkAV65r@5pMM|LoU zq9Ezm^;5`4(AW(de;gfqs`-ZwTf`CztWT6UyDU!Q`6+qH+qdX-%hBQ>ccuyjF9B%; zjOIZHhq`+qz!DI9XfpaAreRQdBu8j`;6WKC7QIOtUNVA?N?r}EX-`&X487BQASIqR z{bx$J1{;brm3TKZ5O*d1wg4~qB&#RG;&t1(RT7+%3ChKqY1$L=oJnY{HLEbJg{wY# zN#<}SR36F7{--%Cp$$fjvvqKc@?m!}bSq@KP)gU!7NN&J!4biiGeDoxnfu^D!WULh z2j3#$4{VVGA-D=TQsxIIfs2w5t}+|FE=`p`ctG@jZy`3#mJIWTh%oUT~q26-Xd z)9@Ns;EGf*z%yU|wM*z_`l99RNEQqbg_08)Kb?)T|MBvh%#;B0<2Uw5A%(#4&=y7% z)QRM77oq&!IE84jr8vHYe_JC5t^LDbrBxc58%F;>V5L4i3!tLIB=NBt6 z-+T1?W1;&1D2H)9PF`#hVW)(GL}UZ1B8c=l$&$gNM+#Eg~A=K62L_+3vM(VasZPoUUYFC`Q!YrseFCD6u1~m zp0mZDjfW@LJlzW)W;da#zMSGXl<2a#)}I80O2^|JK^N^T!Xw=F<|}zp?M+gah^pS6m0s1$DbMvvzGr1jTDk zsGzUynZIL9^7HawFuzx@2bd&3IHz<1NbfJYEs>=kuPTS@Ig$e%wJP5WN^9UcqEB=3HGgZnIr7|DNx0vHl`$`~on%YOaW z9v*yv4BDdd(vvE@{ADwNB~HG7pYw9`FXGT4R>D@B`2I05&!Y5%GHxY=p|rKN)%W-u z0>@n#Tyreua{ziAZh-fSs(9Ac)~+kTG)wOr2~K%{0Al=Z)DZ$!(yR{jeqn{#MFLen z-)O!Bix90%-vrV{|29<s2zxbFcpM)xpfH8uKDPxEh&T-(>HoPovvuV?abulQfgfOf}9}lO8z2AQ@mjz}L^sp&q^T~l|CXQ0Th7+#|EL%PgUvx6m-97hT#J^m>!pe>KH-2iX$2x@I_2M_=jvacO@7|`5IAhA zCwaklql5tKz@>+Q2!-O*z(Z~dg|k4rtv}%qi~>;*;Ge9X5t1_qt9&crYx+6%Jg4+8 zq_Erk6aE*ct+^80Xo}G;0n**xf!_~`SZNDA(h8rW8bqMha19fv-|ugWYK@K%+I3Kc zVi5+&;Exj8k(X>jVdu41RV+mg{a>&l4rxEwQtkVn+sxLJfgo@$2{7BJ5RrD~6KrK4 z2%bez{6%LX(P%=Z($O$ouEz?6{rv1ATLe&aQ5O3LDzl#E9Q37SL-agi8xD)Q693ze z@=T^rXWuY`tAeJx;}i3O#k3%hfnh!2?ER3uIt+qtbRvJlE)oc`Dms2yTP(6TA%({D zrLC*j_Jf_eM$(acaC)To>N2{dt z220r*nq-w+|H09)E!zmSA_k#Am8XAOU?}5B$}(n)6MkK=2X1ZvH&bApNKm6G0jj6`sWtJR?F;y^zS}{`Ea;8w?fua- zOH&hT6J=I*^UF&y+5!U@-1JI5m^Hh|W@D@;_~Nn>IGb!|L+Zt?<36|AgFidC#` zlxINNb)*!{NS?#27{DR2^$>!84X-eMq7=MHq!^S0y=mHY#QehQwtl^m)*8?EyX)0+Rsr=(!cbTg4H0>>XfbK(4vDCe>AH3Uh) z##8+Wna+Q!@j`g$zq{ZoCfFFo@Ie;J$GpmK{@OL~)Y#LuJufd{@R{4xVxOUm0Rnp0 zKFZa9AGD>RV2gOp|DKShdlkT55jcXmicc}Cs8ITJa`IZuJtPoU3^Md_x(<$V4}H>~ zAwgZfPXWYhCDf_-)aCooLcAM1fJN3ZH($Dk7@8c()Gg9*L(1sD#peNoeO&*U7je`8 zAY$VEk846`R5u$?rRZ-|UP!?^&5Q9DFdq+~&_zJQE_ef%j;>@f!jZjn{qK8j1sYVb zWspUd3uTCUM7qenWL4=A>&q&nQIa$A&yxm2R}KFK3P)Y4<_vI?M6Rm0T;b`tE+YY+ zft)COB`?{gJ^iLP9R_PYPTgM`U?2XGyl|2y?ddKOhjbeI)$3Hxn}H<=$`%A7pLKza zyZBr<8u4wCpO{uaH`NMoU7H(mD!CQNw0RaQLU*e|fTzEK1&g&`a&-|>d`?uZA-&y{ z;C9}^9TGU#xdEidQy_@w4_RO-+n;(HYh&yj%~oZBl#$%6+7$g&X^sgS(3G#r9kT$j%9k}L-~r}J&{Lb%Nbi&9 z?-rWsb>5KYWU2Lsm!u6cw^TFe=v1I+VgvR28(6-Y_nZ@*TOa{q0k1|wNDJsp`-LyN zeQqT9fn)<@MnH)HN*ba0qVokl@ioMr+ti-sumIkB*0$wYQeLbTeV__Dm>|re@*6b+ z^!Z)#lxhnM;7o8+q6*dHVC$GZ7YHP-OK>b*b~6_FhUa_p7wrVizCyQSLaFSNtA|UZ zcgv&)q53!Nnw&iDC$uEq7t0Q^AEH9E!ntbP#nx*BRaz<#X#qp000)bvTrO?g6EQb8 zAC1&(@fLvKt7LR_|H)={WSlYR3hw-`Eri%bY~|ZN?2Mho7Sb@*rayAF5W{%h?d;;R zTG7uOV3D->=MP=C3Q7TOL;1u5`WC93t5~X6Po6$SfW4coDOro0uP}WGGjMRIAciJy zvrCP1=Scg%I&8&DCUVsbM!1k$F{Y4}EFrbHKX^0+-cH6vr0*}S%|l6_s7i2@l4Wmg zzB_zFg%4e8+BG;h$nADS89^eTb<|D5?>bVCOkVAKB|VM_b;BKWqaMg9EG#U4MJ<5; zmRS~YPJnO{=yiSO#~K6#!7|V(6U~wE67OGNcA~bFEenq7H2&==@JEJ2Kp-3tb@PDr zAG9(sP48Sibd3VnAL?>p1yh2gFYrHb3ahOfOM!Rw8TU^& zx#OY_-4(gH4fKbv<*8WsvBk};407|8D>}Vj^iOUzXJ*1dIZ0{V3R*(mpPTZ4SSMbL z4we+32fmO{3ck~qLjqisa+sIiSnnY>a9)b7NVSZ-8=R*nuS4_$qf|@Z!J)wdMabuz zr*xry{bf%Z8=u0C{G$OgrQ>xvaWQ;ulH6r;DFTv}*y#yATtH zMttAAJwq8tWfPpV9A;GtFyT793cr8X@1rVNv7aIUlB|GZHxZE8lMO%aq zSy50iyy<&8NV|=X3FE&x=x|-UUiet%xz2#Jcn|gse7v4JolV^`GDNPg-x{u*H%IX;Ke8hQ(S)(=x}UjxIh_H> z5eu}T(nmkLOsC*`bTX!}`X@gf*%%$tB>=e^0%cD~-QG(Gq^-u00zp9Ie#*qe1l-d3 zqECw>^{}#>tn3mbn!sTDKKIx5APJ3IZwQRKGD)Czm&kHmzo0vb5bIag6@Bm+yTZwI zdc|$Y?*UBX$(GPX8)luqKUdQ-M&0#Zgzf0>s=tR>K}2UlAjht4~}m(QH#Xofj#u1<%W&WxDKQR(pu$^RL0!6!Ka2#F_HTyFq zC>HwlOL%a+FWj4kKmsdJ)p?&z#`ov+bTCvj(CUXk>bj*5)IL zG#{N>AxA-%le-J?ex&T3skr>pMOnM=kUNb~u9XEYQYHx}12#D+OP`J4FWItgpsT=)QmWLU8`t^VCn zynQF0I^zW^B*Wd`E#5!Pvk<{ToU`k|pz_fh<2b~;KfwIdy}G%#*R@-_*qrd^g>*H^ zWBK3t+sFboRBW=9TZM{X4oa=gvYBROOO#S(Wtq|{k_t+!&c=pikw*7TES%aLY%|Lo`jVOyYqPjNCz-O;0T7aqZ)Lg09iHA%@c5G(zXHOnmP+&vP{u6y zFO~vw74Ta@J%tja_lI6-Kwf;L!nP!e5>PPSvhvhw6Gf4^-(>9GJi)WkgeQdI^nB%Q zvat|P3RhjR-vL?N^7rqADUz?oWF@gX8q9=B=O=WJg*7;fJ}mae#clD17_6zld(q^B z3c6h?>lYw1t#LA_oehV!eEQ8AO}W`1QGV>Lr%zIH^5Gu^AENtnuu4?w2UsF~-OO#_ z`M9)6!Mz&DpWh9+YE5vI$s(l>~|g3Dksyo+PL~F01vMHu}x#j_cmUyQ*1#Vco{N zLq(aZz5*~_OC8}q0zAQkR!`O3>8Z4L&MPQn2*OxXeC{s$m6b$M=*l!i%KdT10%-?| zX-%e{WIUw?8B2L!Mb@!S$aMJ3PT43`XcQG3AU^^9YzRpC^~|WP@&T3d%85S zK{rF3a>*9&OP9s~R%Aa`;F2^7PrAY;vV1s#fVkovsdHd;^6wmUqE&1sO{^x!>KGTK z)rUcPn9vFyj5wexFjC3D09U4SSg#_@UjT@6$%Xc^QJ@O4m5`?u&y$5kX{jsw9ufE) z62OYp2?1^#PVvzXnVzCF;Y^AlSgt;z*g@DqTNnS*s4msB??22$o~V}jgj%dCg`Q-d zgPf&xI}YpU1=GiOR362Mo@`>Dg~!7D!)G}DkzH3m4gAbo)fcBIjiv~+R7I8!uV$YO z({s^+z@Z^|VnNS3iYe+qg5g0|R=3Bo8rIVz_&=^DVOK%MBj^Z8HoOX96`%l;VzL(b zTc-7)R3O85=_)8mf0zAIGimlK)8`tZYNmB7#KOwaXXMpcYfNdE{=sOt2#=Ksc9IW! z4-q-$eJRlZgd47Z5+6-4I!~fCZuu~Bj@ryZTvQPobe{!Id~DfXO2*Pit-vkbh=-`U z#0l&5*03c5J2Ty@%ZV~?)t@am6*B;W9L#^jB#%=$_P^-3r4ORUzSy>^<>M++KBA!4 z{ZR3b^nPp3Ky|R8?R^bmoKrwa-d5tYzA;;gX-ijqn{h!QIm+{#$yiXBqFr0M)KaF~ z7?dsd z*Ve_?N^5W{QdDWr-go^wsGEHPlp6DQoP&+ZDP*!qLMUU-G13XBbXg$GEG=amp8+LM zEkXuc`8eS_G2bG+U^3?;cDKg>xtOT@&AbbM~_0&h1e=0f0hb1HEmXD%^FuvK~m*{FV4ce7m-*%PIV^#1Rr3SU;zL7 z-85m)#KF6`qfp^d+w|2>%(pRdm{bIK6QY-4}h*u;P)znIG!el8t8ysweRfv!opJ~ zG`k2z1fOsg3o-PYv-S#Lo3-?nmo1*6maE6Qk%KNeW> z3|>_pfKR~O--YUnlgvb-2`4$P?RQJ}+-y~1w_a)OZ4>1Mm))9&}OCU|KTl+zmGCBd6 zYPxAqC1HxHIK;gg#&bO!YN5Y4HdZ-a!1xeN(Ncz!|4E!fcA?6HpVE4@itM~yg#Lm& zWl!dfO0Bv0AG(^l>R7%`gNq!nelaEMSVlrj+?^rW6Br#XdMTs!^vQi9*Au#ZgArOd?xr{utP$5je{Sy(j zYUyYA8ofh#XVn;EKW5BGRpwKsR~|pf!`aFzlfxKBNi>Z`S_Pwczc;5D(T}BEOFxPX zsyX84w&7pBo=7EYr$Uu!7~Rm*#zL$!FX?4=+BI5?vE1R+w)j#h(i0Z)l1T{{38+F4 z*I=Rv(7;0wGs#g*XEiBQKc$%*t7c(%(iKshIdhJ-u9+YgnzaT_(8$LjBHkWl@g+0A z{IqnL##kfrRc-W7cTU1YwYRb#Ok7oU&gcFX5(^G)j)z63PMglJJq4RC2W`71)b+y| zO6#)b($k7r+@lB8`wD7ec^O%jVgM;iG4>>Zg`5Q$ZZak{>(3|Irw491;`5sXIARCh z3TkgU*m-XgqU!q^zLbN!1gbUoOAdfkS9q+7r}ta17(AqZ*fj3GgsAh)?QMn)+#WQo z8nFQ)rQVkZxg3()?=V_fWH)rk$Y+sX84U1X_OQr0)x<5-ejT4Y&Gl43d&$qfRko~I zAVgzws%0$%XZld_Y;Qgklo{fIk{Njx3MuTD)-!?6_}(u8aY-031&G3S3oSmNVAN?$ zj*x_ed5WV4Et6)tURrY<6E@)H!GCdS#aL}+ zS+E$>R9YDl0r1F^TDdHl*{)%K59i&}=XrczWVpI7a zCn5!bQ{2A{RL|$2fZ2O*WZMTn zm1~3^rG9#4fNmv1B1?n&l}9+75%ujs<7cICahl}cLzio=?UzIko#k|8hx!25BR@Ox ziQrM>^F-Dq$A_--llYR((fu_hkc!VXn+-4A76yH>}@Pe~#l zK;fXY=|~zH03>1@f{bw)B#Jx>mqRXb#=Is-BQZNVXY}1pi~+9nEfZdpXcynvOr&Uk zA>UPDgmc@y#RWC~%TW*bYHQc$qhxrThBd8OD+Y0%RK_V(XbU76#!*d=&#d$^4`e*#-DKRSr%~ z-9r-h%}l@_6=U%ld6xpsp(o3Cv)IuU*2?0iq5Odn%`uwa!~OY1msd+SLJLoX{&$v7 z54;_T7wh)V9UWX>QZt#)k zNvip3oK?+o_CEhp$S>A2Je+1CD{A_sC2nZIUe=AD_*TnuPl=9)p(r_3R=7e%r`7-|HwT(HI~hySh9onxRguUjIx#oLmX0kD zWPZdH#$dVAC)s0*;z(65Vbp6py#*SMkyNLaSClwmo@%vm0yQ93@_e6`=P0wFR{ol* zOF&duh)vI>j6ABkFQaZ+#1T=8saVT!djEa}6!~#GtV#BgTB#p^+SqtwdJ`no)yKy{ z7T_Sse+C>zVeDblPGBC?#k;u3G@J-M$c)smd6vh)T5WFkZ_&ZQAQKe~>SAmIkBq|P z5hn};SgHi4E^CyJ{DV#z7-K> z%Wh+V(;Rrx0}E#T+7PVrT9hO63&-NLR6->VYy3}HYdX}lvp$7#HyUO7XbWrk)6c_9 zOzsO4g}=@Nqb70~wfP|~quj6q*@W%M-||IdWaJRU7lL+TsGJ_h+fQAp)wOCddw67WGnzP z#T=sh3r=PImXl-xjVxmOsv@ctiCUeGkrj&%tn&K@ z)L4_*A1d)I(pb8_-dfxWQH1>N<$62>#_CoBl!{E7TG2q*EpCbi@80daZJlM_ zf`{!a%ziX^9bln>#177CS-p4W*?-`hv51r|A;MN7%r1-a?ssp`OqS7s8ztiHxImSBz#aqy1UTLedLw-;q^G8)M)TImd@Ucys7jUGm3ZdWFZjrH$X9a}=2VST z-aHZMSDwgRw5@%+nN+lVkJgxJDsK1O$l?6(rYB^)aS@eY~v}mpBT|t{F>Glayk5pssptu zcuQ)u%{1Y^JbcmgjX0h>hmn3d(GeUp`{eK3nx;r5GAd`~Yzp4P*y~ve!qCdJ9SR+G zsLkr7lHrZHt&9mjUgsN_#kgAsp}uVhu6!AkntYdieSI)y9wEvlEBT(O5|#2Nk@wYr zJS7klV-ug9yuj8PQY{WoNNh(pxD1wayPA!cg zs;CZo5X%VM)=lDAq87LSqrGdn-@j+*HbtQeRkl^h1x0K|x-u{@`Cl6ht#eHf5SWr} zt4pbT_s*7N^<%!k&%>hsggIu%gPJVEQ_ks`i8T&tk99G`Xxdhmlcv2&bdVpqg7>!b z^=%Dj3xbbb6B|&YrF}X^ojx zw{h;qAUl3(z;1h!r@OVPA$@&6?Ix`Q`OshV+OOzrvtNo73frvwHaR0saa9)Q&oyF; z(^Ou`YbCU4a$+aCVFm}c*wNo6!40yIu>>KvJmk`Acmi+C?j?tdP*~W}cThD{q@?=n ziMY#E5{%tTkwflsw$UoCOprH?yK+@k*uBuidHV)B#=%1?C z%B0opu7M^Q-QXUkF*8_T3ibOS);D>#iRbz#e&tPwbEA^j1!2x{BO<7Ep%(C5v(m&i zQkN__UsdtTlzm0EltD%lDJ0|@mbEdb=NFc>dbsgmWCCC3B*q(jqd-dRPX+@x%siAP zd&~7|DavtILpl{z9_^cLU-^#oYdSAQhve45_+l$AzlRqlv`G;vuhZEFSo{hC!NzcM z;4z}(oL%kIN-bx$^}*hb67JwgMN3kq&ohg+m?iCieS3%WMK|wzc}L%BIYLBRFe2F} zoo9Y-$*rpWsO?`cMSFCrIz_i4{>2A0w-boNRWQE7McRh7{AC1czOEn7;RWPnJn$|< zZ;=REWXPu59NI2lIh7RGKS+Qzk!(AQfL=;lz}LQPoG*_GD>SwaC52%f^clbh2o9f1 zaFs-_`l_dC21otY4<2zI(+vLBU-iMQzbf%fUaE`%`cpm;?)xyccRL#H$1Rq;bJ0Wt zkM)jQ<_Z*WGol*C_^>;cT#0?FRgIombhQ2&nCt~_zdz62Aox;Y#M0{K<&iS~-~%fI z_csK*4vtLo0GvilX*#(j?K)_5@+DGsTvGdE=HVs zrU6;d4YYuFe_5s$CswCxq(}OtR(Je^kjF9gg+Mgk50e1g7K!%s z?`|<~j65xQ2dkqUEqPP9Fe4d-@iiCzbXW8&eWo%e$t@M*Hl2A`JhT>Pp{`t=LZ-7t zk4s*Jv<_xqmBT=n%n#RWs1Ex}bmOG;;ag{LKj{j0tLudXqiI&-8n?MF5cxUB&XVX%szewb3n53wR5M*KG zWo59Sei}`-6kW+{w@dZZzE|^^g zlBdW{^S*i+vL5xtC(CgYzyd+J2Oh4nOT&z)#?+3)y~dn$kBJ(kO{-I(CCL6qt3Mg< z%2*)3>0$-aqSpl$I4_$Aw-Lqj zAACm&jpu^ssw?I~C>8G8hlohN6U_^I0c_V+w5Mbpm&MkH!^y{nV{&5!D{#MU!}Y(4 z-y8jI0-W5~OAdU2HM{Ds<9?xm<7{Y(lDZZ8xk62~1fn>oo5*BntuyfX=kTFc(W*O3 z0*#n`A`aIXDt-IzT_Md!Y;sm}ROZf%GEXl=7WW0p!iu+&?K#&vqAY70;uJvvgL7zY zn|gs<1?bnYfwM*czSP50s$g&Jmr8zvl_jn^vf29 z(v;6v;3Qe#_~XVl^}h!+f_ZLv@y7~NT|6lUYuVU5bn3O!xR7+I!Yljr{*~)|9|2oi^l=umLDq-i#6y`DE;DbAcVLY8g{Jy^5zQ!J93tbjq`e^XEfj z?TkZrtos28rsIP9cKa%*MFwD-E!8jUj{!PX;zXJFsFPS8J1F~*pJo^qb^%ReBZbN3 zvAj%d|KT*_rj1R=N%cGsmVt*`(HHCfHbp>>06naWO_8HR%f)o^OrnRYvVpAC;*j-4 zP@+0&ebGY^vc%aH=h(DIssKoPnZ8= zBeo<3e~jLGC^hg$vGQhEVaG;po=M<9O`kHf{-^!TZjrB}S!B1nW?pXpw&v>nhs^3W z%l|&6cnH5`jIyYb6Q;_}qHiBz2wwP#OqHfm*U zAy@6(tIqRcjWUHw=2Ye0WBsiQ+!o^b)JWp`WN~&r0Q#+e-`gg>eubrM(bTOr4k$m# z`NZ2o64=iW=MF|EPcOQXnMh3e!A5tsBLjCXIBKzqdwG2W*Tq7U*V8Gx z8RfmW)Op2XV}}JCl&nJ2C)Nbc%NQF~qF6@=q{6TTJNZV(Z)8!rV?8`=+_Sq>ja#3u z_kYWFMjC3Q^Ch3~rpdWapg%8Lp;?L{M|rnEqcv95m-vusDUC20XJJ@@MCiJRmqAv<{&v`;z^-?Ss=3xwZ{_IF|e}RD-O1TQq_1 zpA#R|N#WINvVSnMZ5LxKpjdO^!4smEMHy1V=vTWT1W5_a(l;DCj4{g;E{{+NE*4w( zJrQl^O1#+`%?LB6z^Ghk%cSzeQouXbP~#WkE?Y)-UboL9MqtVrvo+g|us%_@^L$IB zJ;|x{%+%3A#msoxGG0Skyqid0&o0{IAt&5s5Z>1{n+MS8hK|6zVZ?XQJyDXs)gN?L z9@CzkcD|vnu|?;@6Y_Ol7#(0NzTZG5u1Bq#vc>>ko30|StwUh1fI!|Myt*5yiLLcllY)qv zJe_DOLkG(;WyO%Um+k$$UI93GVQ9b@5mqQXA%_xX8i2@vNm*h^NEpgDD=b_#FagK4 z8EfyrI5d%awx&V+N*;dCGZg#X9imP=qt^U8)AA*?XRR&Pt6$<}j^pEB)I51cp2H9J zGUtc`WQT9!_y~G~; z;<-B=+**$(QjaZ_yQUhUTw^WG1kI8n_!~B=T`Y2Q=iAu{5ey@hZg^*;^DL~-)a@3_ zB6(*8EEnj74f8C*wZlM~a&uZeYkzfx4CKlt<|66!lT(bpQeF|y_AI=3X<(DRcNyYf z!u=XC@+)>(Frvv?q+`Bve6mpV?OA`MS~@f@j~#nC@@D?zyr}#&tJ&bz_rxzfw55Bb z5Np(VumLTkS@FFOlri!Y5$7UvBJ_PX69@v;RvQWd@L1V6SC0y-5doWXHu7ZpiI5x1jv z7*wC4izag=*!O2S>Mr!fx+;GlLjfPkjy2T$NMOgDuPV%QD0>EyfM~>=lgq}#zG&a5 zMI-~W*p9t`=)O&?3O7N3=La6Wg{p&1s_zwYHjp{$NhNZBoMtXWGO^&-ZfaM8J*#S4 z@k&0>3x|=Tly38P1M@!Uq6gbMi#6^4LDgG^RTZ^s+l!R$Zt0NjmhO<0?hfe&K|<-0 zZV-^}Qo1{ZMW=*xgM#u6p1q&_9^Vgj${{$%nlbLUuJewp9r`Uo{liy>z_Hx9cOUyD zz`Z0&;J^bc&4Qw0^Y2V0oP2vkj~S0ro*t5fpGt!&l_m+v5bpiZ)z zu#2+kMNtlLMm8OG_@Tq-E0|WY&u`zLD+mf*!Bhky*PPzRK;pTpSVDgjekXmR-@L59 zrWq_*ZY;oqEC2JK-{e2-rXi<|cEqX2pf3lWE$@sQ4g{Z@$cBP~-6# zq9e^==wo5ikI(zt+;Y%V-D)ceF%{@-+2$fsFoR~COnS*$G($f+-Fkt&MOE$dZw%D& zqxI2;sN}kKr<4Wy8qWlCKJ|Lx`aS20>)8HFp$CFOd&EDo=8NskJ-_+?e}ZaXdT!0J zl6C8`9BbX1AEACGtc)^D4EE6adHh`Uq*rCI1AbZ0FFR^f2v#~T2E;G!DyN`V*m-j3 zM)sUi+#jLlR*fccA>mCGYnbjs=>_=GKpCUouX)$%qoo~s!G{uM**RZrMj+?FVZx7W zjFMIyuzZ!=l9Ra7p*>e+%%LNvcckWgrvrH`hAk1SAfdN#;?1Dfn&{RN;kGf@4c8rN zWt$LoZeEpj0(CiFbc%aXjkTN_sgGonjKxnXRTUp=3h+SAfIo00{k@YF2`W-t#Fs{E z8hESiS2AqZ*Sxgjli3X%4E_}U_>mr46wE-?|9lKe*9RkZ)xL{6B!Vs3$F3kPY4sS= zCyI!a=ZV#vvy(2g1IJ3Q;ZEAx?TkEN-=M5W?{axDq?)bu#p$LhTX6lGZrKlXBH*3GU_jINx%l|L0& z|9iB)1%3is`z$A4hV0on4>jjx5cQHPy$xcvXf<#-mSSRn=oN&hVUFTBGIJN#Jujat zf>pw3dAhRtGlZ2GiY(k!PY-fChF4%S+-aX%nFiYMoheM9SDie?f=hUVF7od&m>UxU zuv1|s?pk_I`UZZphxP&{A29^8S&Yr4y7YC9dOXVx?Gdd0O9wgi?jjZTK7EFhgh#V? z5&_Hh!@0@RjR|mRv53kfX^&PI`6C2RG)(our?$Yl@Yy&=icb2<2oX%>zO&f11fI(& zUztB5`wM+nHE{(@o7*G~@kiuasAzt2+wPt3z4WR;XA7~8$-tRHJ*;;>&GEo*^~y6Cd%r==EL zAk7;zRod?0dfTL&K2e-{`m}dziaQG)!5%aHk;C2Fq$A1d*fTJX| z_w+~vJnJk0UkGKYwezCg{?+b$_1e#|Lo$c8>zLywPm8@*nXA^OhE`3+#GqJujWJXS zcWfQYX|^i~j
Yuw|U-4$>L05Q`kU?mIbck-T4DAo!nT?3WK>l=WMiL(3<|%#dHw zh{Q52o$s@!>~34Dy*e2#t8b~|Fl7sDD!fn-GCw@)j^Z%&ZE!%uXqfaVBG|CDR7L7_ zgc1&+XDDmal_QQx5Zd+XUbG)f>A~!2c{xWyoHq}&ZRvrP{Gzteyz(2NpWL7 z_mGqT*~k-L7V^;-6aN)phx^p={#ED1+&o3tMxS@Gt#hsZ*p*laN=(mw3h+$>*@uza z?aAmUOx>j-pWnR>HJ{hp9n~X8mrK39yinfLMfF>be#uz7uK`p1pNr_sWb@)y7qNr@c=3{4#&}3o{_*+;s%{M5;*4y1ThN`5GW4#cdGus zb(DjsDd2HU_EfqRs!E9#$a(E#Lao!W^ls-n?W(fJ#gynblXGs5 zB0qzUZ8j@X8f|wTYbpA@Wu@Ku9=RL83Gr1XVg-4}4Ls574cL>-?<;Uv>DqsUA0Qo) zPz)P2%u{31ZT*Q~#-zQ#{RfSlsQdE4lQqOKPJWBRF=n^r+Y4(|N45o4T~oB@#=&z~ zUWkmKKZ!gOqi1ur>ho)_opiwM)exbui47-mQ#-S-6Dhe{E9m*iwE(m2^IM+KB!CmT z2zWEX?`nW7O+!;Zg}}h5`${^C)J0&w!}48Ywc~)|sW1C2UvFYa*<*u~a>Zpo2VQn_ zCpPKwhXY6S&F7xeiVr#j$R~vxtZFjNHoawp`v0BIyRKd@RJEEKuyj6+QGEAnp`w4T zT_OZK%0a_1;c?*|vUB(~f!4U7fp@d<8+-pSpZ%EVll9&eGSCRqL*C#~A-Pj-{BLK$ z$LAfThTVjM+(j$hbEg3TE-t0BM~5rTqU}-|T(y8UkN^)xdF55hw6Q~ULNhnEw{CzJ zD8IDy1;hnN9*R0T0>f>zOssVYf#uvoHZDzS0p!rz+EpBH?maWreVbe(T9%B4e zvvslB2f#* z_nqkL=HSV#6=N&zp(FT}&VnNUL2(J{l`wZmQQQ>cP13~lySR^7W(e%o;|6v0 zNn;l&tM-K=iMwX+gbyPk8_Q`jwKzElhC*`RT*qJTy3c2t@4ubT$~2MK!j6y}t`Z?Z3lIGRa8{Q3B$|*YnD>v&DL|~qixf=NRtTSEcPAZlPqm03j4G`fu7SA3BP-}DNGYY|n0LI2>g(OVyvuyEK zE7v}i-2diZb3^ADSrs)6zsy@QeK39*uxitdF?oke&!d0M47n)7i^Ejixp%?q=;Mq5 zg*3A&uAo09P%|Z)z7Nn!-U=s#;#0WK($pdU5jmeF=Lmame>V-;2GkUjUFuqJnWo#>6B7t`KYg=1iiy)=8P22kRX4S$PaJ9PMR3@JyKrsZ*?A3$ zwYPZpIN@|J%lbZcLnhZ|W7fB9dp6-~KcudkRS+)?#$lBt2UHNwDWJ2vQ^?+5ULdgv z6rm4_2vWBx<8lz~RqBj06dlM%kwEWgGG?e0U{%rNI7t*F31mupL5%*1P8&Xu>)Z1FhP{vn z^#>CXZ&={sQ|HC4@1I`6=@vHb!d~HzNb@+E58JP6bT9Gf3oay9*Cr3eRUi`;49D$z zLq-`zjl-I)WSic7poL@O!LM!kk41)G7ur!;4fpx&s|ZX$pA+yor-I~nbdWz2Wl&Fx z(j>8nGBfWnv%rCG+R@af;M0PyKf ztQd2eIh6uRMs$O!Lr+_&o&j(2m5AL0AMwQN7gF`|`%9LxA2E(N&unwEO5e!KxkIE% zaSSa~tc@O8zWcWhKHc8YsG2)*Dhvce$L{{})tl@@&cJh(hgj-QOc`*h97JKr%x_%{ z2UD55hzvF<@(?L(dD>L(X3F)n5rg1Db>~1G?PV8g)&lS6rb087*88154>UXXQzm4R zJc+KbBQYps6zRR^>=;`+Pe%d!Hnl$-YIF(`_|MKt?1Xyc^=DiIY*A`%)V7AZ@#1o` z-E@8vY~PJ8dg=(TdyUYarVQ%8{QdAB*|fiuvfE0-N%+72WfEkTz!=8?Tt z8FgV%@BaRz3;5la1~gxFcpG|Lb)P@z#<69e+xzbx2sC@ZV_#qX9fj|h?Om#FLxThC zCNgos0p7>^5hfqLODAkvO_V|EfDnzTNKKzPL2?dH^s<;{Qw=BPqMjeT*<@QQptg!L z@RN2!#9A2KN+0j8&F{5lm+X(;?({XK0ohhldPb4nLJBIVq~A>$4{E(ax2(uL#+L*D z8+@gm)4YzD_w7~;RS7QtXVi!)mzY8OGD`wJtihQcyKJI3VA>pP(pV&NF|&|ES|fi6 z%({iV#{-!Ogk_e9Wk0tocq=%uJ`K!9{}a_$0H%!vtKdt3&DwtVZ|@xk7Z+@|zTofY z&vGJ*KkdYQ9BS{^lo@B0|BF7L5QMXIyYF^C6+%>?m9DJCfoE~(Di$7GyN_#~oIg{~ z<5WvrEKO0epnUnoi8TWON=2mK23xcX9fWu$x_wLe-L;pqz5Tf9OMmCe>ysJ+C`vo3 z|A%0~iIY8xOnS>nR&2e-Z`JmhlTFNpc0xQU@5Yogn`Hh@{>=3uKOY4T0O-{HwQvo1 zN)ttR2-4a{%f{`S6A*N!!;X#-9GUW(6JKk@NE7jLLm?GDWH~D^baR(Sv;9=U+wNlv zFQ=vtGt&LG{a}h5(#Yovx(L$V{@??W*#C+&SQ)^ZsQ2;X!j5}mQXqvs>ml1~VAivF zM!E^-nDYZ2BXCS)jYhFlCUsC63uJHT2X*Gsv6E5s?KPnv{L0z>=B##x$Jcnl+NEZV ztM_pb*JTWq(rZ7ps_*pA(7n#mu`6q=^K~o%roBGN+A7^=SU8f$fDL#5>_BH#&Y>4Y zp9srr>o4NQc!l+JhjWvTlVo_J!VLyNZRJ0PX#^v$n;CP`j3pb4U9Z(9JsXT3LHAFv zcw@(37C_QVcAD1@kjcQCMI@H;D$|{g!_=vPa*e#eQ5~nTna~V@M!7bwErAYOLlsvp z-$zWBRYL&tvXamfKmXZ<^2}Mxw_8Zw`n{hQe+KZPwvLX5OOaKuDaU`+6(t!Vv~vOE zLdkacoRiMEw*n8f!XYq`*Q>t2MX70LgpQq)8j>qT*{aS(i%RfuRU|sK3rq4zt76x; z;b2Nv9B3!`&*VkmTB5JuttVaE+_Iivbcz!J04=&Vd+&XU2;7jMOXAgd!8{{B)f*o2 zzS1NgR?-A;CvRyr-Yaa@Gnxiw&HJ`~rwK!^f@!tnG|+HtLQIfB6nse6KY@j(^1p^t z&kKo+E%&ki0f#9P{B-sHUwp&$-)E`)vub6-O_^C#|3jL9_@Tqz~s`qjW`Cp(jve8mX;%OY!0^h?+ln--ji=$?^ zRr%6*FBKPV^-l>H&b(|y^C88EqQFV>e7UkIe~1J63~>Cd_WTV~8@1r!x@C$$q3 zzT565vS!T8Ec^^-?0Bf+*!$!71QDm4dQ(^VpkdXx$}qGim2}E0U?AY!UH#LCIKgS%^neEE`0KQRGS~T z^)K$P7^34kHqk1`1D|Z$ZTaQ2xu?ZR_JgRKhIn864kFJA)lg8V2iujig0x1SxT%{0 zwPcV(6X!w7OC+7btpETIJV?3t`46VrSETJd1lnPS3w^tCY?`q2G(sVtPKpMbG7&l| z>du&|Rj_ZVfEx4iAbCGqQ0vGIF3DD-C-EOsd+Lb<7YD)qH@#*aznsmp6XrUMg5CbE&D^EdGHZnB3tIds)~yd_}6`kH1*pP;^HtyRm!k(xg{?z z5gyrSxrH={(UTbSXV@*63xs~dGKF8QW*iHwTf49=9ZvPS=jW{n?*sM441-D^2iQzW zm~AApL{DF1noxP=@8cP_q|_LSrRV@;`s=y}dJ7llYp{L_J!!X)t00kj{An`EJ>{>g z9My{p>&K?k9{;%eFcA4Y!C=ndc8$Dhp2~CLWRLR6gQ`F{CmVdsm)LSZfT}}Nj{plNQ45>rWMp>yu(P--(cpNL z>3jSvx}Kaekr3IR?u$XWzE&|e1p(#X5xvC)azySe$9=rV<#9*Kq->b~t*1WgD&^hw zt*(2plqSSjxBv~Ce)iS05L;LGQ%_xdw8Qgn&6V%bSlhUB>8shmhz z@6?hWl)@&RKIndNt9_GJSEP9BBj7`H1)Q5Z8j_Bqs=5&}WhZGsNTHLCOMswp4hpeI zu$4QI`Uh`f?V-6BAAxqP@^=-H@$DT;@qqxJKrHl6sf&jTNk`wCF9JCFQbD?^|Ku67 z99h-5j!+6&DI^IBeo)}il;ZfJL)}6@ufC@gOnFUXQ^W~mQ(w!76fAvqiA>gqScX)$ z9_RF3&pAvS9z#D4%`6=bX`Ok@)a6v^kRDh@oQ*JKa83^`nRkNTk%|N9@9Hdcb+^!= z--|sv(eD{M{b0ufo}M$3)DsjD6H_4|#O8eN9b-_+{JTfPZ?h5C8?TkqGXj|no2 zO)mz32K4IhvdSPA(!GGYV*O51b_H4cPG#M~M3#4?_8dAMyGQevdKNJho0UMBIZhm= zTp9?3CXt6EG{Ay})4|aBT!2#8=T)<(Wy4U%`5_Us$;8JK4WRtbztPgp>G#B&1>gMp zu?@sHg{=SF>bm+hXV5S(mA9MzF#!?m;Iwq1?K*))_cCvgN6U+u6m&&NF{m7Jx zo{?=~#WGk3t?L5Sndb?*G%C+RBNOFOKzBr+;SocYQ%qX~uNg-l4%`L023Qm=T09x} zU(Y5hn<7SIkoDldzmTD}qU+lGM?I1R$uk%|lBjd{C;j(O*C#)v8RY=$q6F*Z{H`xI z?M2(3>0R&EcLe<%#gPX{u#rvk_5jU5OSo6gQj}B&cBd~;zG6evT4`ZzQT<&$?~G?R z*S>(=?-9LiEuq?o($<^~zvVR+39R)g{Bs+t0tr?TGz!^YS#B8eY(_LCqDPzi)-%aQ zy5NBuVa8UDsYti7ofd6W{DYrlXv^`n8^zr66PSVSyLfbLyV7?8!H zIfEzS-1(ULmaiACSv~N;~`@ma_{@YAtj0_3^|Hx=5ryR*X?wj!U22D74B9lA@cY&(JM& zFthvMbiyYb;4}|NV_jKy`1yUZ4>M!QB`T49sjS^)EtgQ_r9+bRj?e+-Xxy9uhwX=G z19;;CQAalmO`=AQ6Kc2LF6sH`r(&&r{IbAMTcmF@cpjjcm+kN%ih~9LR3je^1e-T; z+;Og*)Rr7QOG*>Or7qQmjG4%KIEh>G0V#A2!o9mV2^vx2Fl~mgT9bwt+Ve`zB@4rC z+p|O-J1IK>+Ukkf$&MRdZwMiqTcREER@d3abkx-yUsim(I;?1rVfC}xeaBYn8Q;Q0 z+wL`0?~7uV|6m;%7*^@VCklnK7Br27p59^sJXBnE_9)+s!M#un4Ea)+jzc(Yn0mL& zNM!}q*{EGdJ|z6r*HZrNY;p5N;wm(O)f#hK>X5EZFJa)81>mn?#%FLzuR?GWE}14V zdc;ei8hM+2)N!$VRn41>0GP?P@TSekaW$EvUpTg*vCgU=*(HW-YimjuD1Jn~XFpp0~#D0)vDan;=TYE_3n&F*K8 zLPNsR&N^6pb*qag1{sMAZKkZi&u2N;!h)&JX{w4vH-h)Ab>%NaG>d-=HzI4sN^424 z<|_iRSD&ume9eRb?gQo`3rDWVkU9Zl0g<}RAw_B_8@>Wh3pp&K6N&p(F1iMsXMsGA z?u0}uXoLEKPUrtr-jcfL&Gd)H)Q0d^@2)um_V(zXB^l+XKYmRG%{Kls@+R?`m?Tu^ z?b9<)qkDO_m;B~;t}l3{X{9z+U6`5sZIL2E9FJ=+u^uTp!3{x;HkpfX+lpr+^M<*q zAkYZwuf;%%?*fkxC;t9w{YaefU}Atny!%Li+RN}kg%80>lZWYd7H%z$^cKXRgH9_E zY)zy?NpOc_0Nr;~$mHm;-aZpFNHREaCDE;=sq+cqSNqAYAuLEB2Mo=SokJaa2GeE!yfd)?Brtu3 zDB{;D8GMfr`9kOKuuwL%JVk<>cLD~18j7U%&GhWhxBiA)6D>_i%182+_k+tjg-o3n zGoRxU^3HVmf2M6F3Vh$S9zs{edoo_x0aCFSet$}$;yP^oNuj(pV-7~*6VPwDr7e*i zbW3<1!UiI;x61&XHAS=Qq(D$e`rK&uX?l+W><})FwwV zeRQZU3b3?_)^swq-+I=p^8x#{Uh#sqgMu>K%}wF>F1=xW0UdYfMd|eH&mExzHol|m zY!BJ75#5Y7YoSuNg3sAVK-e#Uxu#TRNS6i4cJ<&;m7f=QnYq0W_MrFB6dkTMHWNYXH5v<*Reg2aGUSV`9Zg zlw2hoQ*-(kqa|O3K(%FOzLTjP6gU_n3e`avBNNiY8Vwvs@BuggJNM1me4p3}__O3k zD!-mjkjjoM7%Znh>9CBDX?w~Q|`Rkk7W`RAzJ+zC9Qq8B>a_mQz~btu6hhIk&t$K z9T@~Ir(W?Ze>1}QW!<)@Azw2>eTB`yO-Sn4Zrs@-)GI;0Gc+tV(EqPBil)0E^LFv!iOtTHweGy`8`S*O^8lL6zl@fnqNKy z>&jY8qt_TrrivO^B-!B;tH@0=2n+Hz8c9Xfz0WPhAqK6R%5%rm7YK|M%1mqAS(4d* zxg}5A@#Di6)n+^T=7_QkeR$0sxne<=-$&ri06biu>8`x28;4SG^5tPS6b7R8s@A3_ z)7sk#L_c-D>7?p4hC%&!pZf?p{!kRy;P!yH)qaP4lm9cUF z3!r)4K+WIVciKV}dsX#k0U!krKUou@>d1Uv7Jc^oR8M`kbAppqy|~$}eHYZ_pK>bwY1FOUKg%W0xY$;Z|o!a!1jw9TCD#xqlS= z0LtZ{GT+a;kh3PnrHuP*V=KXpN`7a_&O;m#`3yG*3dGCveF~>*sb(*3L54g3)3AJT zweQE7akAfwTd9v+1@^d-rk54HgEUhL)`2@qX|+UkKJ-UT)ola0gu@^QV5!=a0poq36ob`G7O8aR#4%`Q;KIY@=% zwe5-b&ew>+`^e944Eq7isltoSCE9(dKu;A8YZZD;J<1RYv0XjMmDhqa=>Z-509kJt{n008VjAoYuzE`yKxX!H>+q)hcem}$BIs}ULi1o zBs1dbF45btS~u>B-0N=iLSfa1c&|z*leLN@K{}WrZqre--j=;nryV;-^faO+I}U5V zTw|CeZB_RDv*Qjn)HxjsMVis?7VEX}6H^Q3XxUG&s$ktgyBzfUwJq1jE{1s1geynt z!Qd-3haN$Lh0R7!^iTcViw{F@$cVECSs19N(Q&u(N#Cusg*2PVYuD+nm*~7nIzBwO z)fl3FbEM$EE+TK;!5Aw&hegz(W^?+TxYM-K`^i*n>$Ore_7*Q5xdQNVHf9{tw2) zg^X00S{JKhH1{`3p{R%quy7)5*jxFiNBRK=Z+C`3S$`*XzZ&@Gwi&vF04`FEDz}P} z3k^50$n}5lmX~y>xb)#jKz9vc9#51`O3jT?zF9pwmbj+QmHrlG^5=5 zr}jlQ(VkMU2v9HIEmNtw{iN}zX>zWNg_%69h2a-kXmw%M3D9e>Q27ND)swMd9={`c zV#p6!7g^#lsZ1SWy%d#blfgA|f_Y3VS}v)W&|hLK4)b+FHDQlmeb(0fM_9{XS&@mM zhXYJ#Km&T}caC3e&lI8;azi@#s~f?<00!p%Ob(N#O8-T<%78XwIpSLFhu13n*(XIB zEX(ES?;2z@#E&U8Rrm{R5$~ca^krEXc~$@GFwQ@uN9zkS(|^+SbP#{aG%`wnH!F!^ zFu*oz+3>QdAg5IbuFg`$S7Sn-vaY9$MsFTWNeXrQnpT6$eAa51$Y{b2k_%D=Anuw8izUn54# z+cQbtx-8b*{~1zXrRLY1#X7s76*wAO#63!#$uLi)FHr{Pm4{o3spw@ebe4GeC;#)Z zZtsxqdgv5u!TZneng%HDdd)gzoj`Z!#k-zUa}<9T-xEdV;;4_M8!sR>WM|1HvNLV* zfs~o@n_ZORF+iftA&|>R(v1u&C_TpSai#*=)dI9xjd6>Vr*KXE@KCC436mWCO4kIXalhOuE-d*Zuj1x zdL`wot$%-O5~<-A)-TwCaO_%I7%&0#8Db@b3FwLXYs7Bl$V59iuCLJ8eCD&b0}IS5 z;la9+4#}8ZL3XDPm0}DF$O|A$+}%lr?A4?v$-sbA$5EfO_g4=3;_OneykXDN*?tXG z)xjrvZAOs%4Bvhqp`VX}br;%P7Sy3=L0TKWE#y=Q<}8gL0WU(Iqe*nSCpN8U{f$g& zC7Nhh4phW}I8+Wn76CQTE9X5VciK zYT;(M3)O2a&1d*zo*^^mE-0<1GVemVn`=E4>liuYsohfxJb^7D>x$ml&yX729w0ab zLlz-fLZP4zljZF`5C2ek)krj` zHYIF?yG;M_58c>ZZCCnh^p&8gomVDxQq^)_)U9Yi8`>bQ*C=;)xAmWN+M`sr|H*%w z*U(>~rC|W>EpimU$pG|&fACd8Tgc4Y5v#%doMyx!0aYBavqoM4PP~dm#jsZpkt&tr z&%}B-30uQKyW}lzQEbEsWO%W5UMV#WUC`1-!}ir}33T4>ghDEVEniC1#LO-5Z-X7? z+?Ve7tnSaOr_MOV{T1A+y#coUz;)uZtw+eZYcw4) zM6LW2Ed*{SAhPndl~;l=!baN?c?pG67;6R{x9s{6c~EDh8WOMcVTxt@-MTA1APk$O zcjr7^`J=@R&1`xL&%Y^T%m?z7v4YwbGe0?VNCOGBwYMW=FhR%Dqh*SR0PVSB7pXbJ zqs;NiE142kod>S8(C%KuZGGbV!txCCKWnQQ^ZS<_qYYi~E}kY(dk%sy#r)0J;VzYN zea@F~r(+&TOV&O-RH`^k18doRSf$&-kMeIJE(z=lO+zZm7ftec>53m32#M}mi@*Lv z9w>Hk?R@Pu5|PpmCq9~M0?GbOE zT)+Hu;CId4n#J?z8}J=!9J1o+%%VSQogd`*9ps6wxp~S2Hq(oX@40>N{&Ar68Qy=k z(!;Cul!9Yhn+a*=6$_K1kS`4WTxj9Q91e`z&th>q^i1c?x{g4Ib+Z`{Fc@2+>?AWO zE0=PLW%Po-WSW6nOw~d{FU+8s*)zs*y~2QCGx3TPHJ2<}3M+kHaij6lWc>K)gy7GI zZWp)8=DgLDs2_lLToP>B@AY_Xob*F&Fmr!?+q?hLuzwjHa3fvMNM&To zKD^G?&{Y!=>Dw|x1knR$M%QWyM)>C2)AMm)nCb^-hFPU(sIS96}vkA$IDfH{h2vR2L!bJcpJvFV4EWqoZ4P$F+^-bXD$K#)YES&*j(@!l*=xpv zL%WJ>>M-@d+Y-)y*EDN{vR(FgHg+so8cyM?&#slI{^D^hYhYgk4 z%|7)vvjrz2^YSmqm+QOwq&Bz|1vOACuaV_#(hfU1HrC3(Vxq zNt0r>8?tl2x*P+O2JSCv;;OGbm?OaLmp!OAH7d-etGMOwwnr{EYSRgN!8+9u1~}RD zw#I3nB5e^P8->n>V7OJT4YQrDji^HnwuNJtoRQiA>?D6G{GTK4YXz)I9O^k{!O5>e ze2o*=d?QXJd?X6gDKjrQUM(ueGK4fHvF`k8C)2P?Vl)LV8K2{BNYKM2$E0u-@qW&F z{p=jGFv#u55U_6w-j>~ic6$#iD8v3a4!xN3<}D`}F^e$+bh75t2;X##Hf#RV&;o7Ij7EU~$Om&<*fDY-g&Z-O-jd~((8 zZ+MK8&Wbkf(V+rwEM1hSE%k!CD_OC%x%X78t%B#Onuz=jc_s<-rFV!yM{*lQ{Wz-j zndiiWuOh*pWXIZtCty&Ft5k;H<*Qq76+jo7H&7Um{>Nke*TnM_^Bm$r~N6D zj|m%1;Ijae8p`oR3o6;Js`7`EAZfI3eP1p~U4k*!5c0Wwo`J?nj*R?+Acww!wZU410=V&2PG zwHUC-MzIkh_;Xi6ACeXm`Dx*aD;w06OBV2j<;O zP6*$5OAMzNj*^_IKafpR~r;>Kl22`y*N04Y_?-zvg3sRkwv6e_b?{(c7o^M)CPsAtdy88kmhbAw|X1y6-8)D(MS6P5kl z&qGrK(~PttJ7jb2m}`FIm3# z(nEWm=<=U`T!p`D|+r+{(SE3fA?KJ*iJ(4{4yT`ed42r+vJDU*BR8JVU zQiaY!=b<9;MKF7#6=nV_vR*} z@5k_{Te$;-NcAak*KUG63dcv45=RDEEbWtR{r%g#F~4wDxAkF}LB+!iE`z!(?`el! zm4gywl`PT(PHQ8Yg9*%qGFWHXvXdu;lQ|w5f4@M|Tt71;+&R0)E77h#xeZ^wW@lUd zU%yhqk}NC6kNbWcYuZe}ek@De?IUuzE#UwUfN={j6TF^B2SlADJ9Il4_VjUmrU`WC zQ&(!6q)Jg|mC#b#1(dP4WSP#=1j(JK9BQ&_V7CnSO)F8EEB8a$yAI4pX>DUp0qakr zMFGIUi{|KsBCt_Q>-Xut55S72IH)OuMFoi{R|BS|CU2htZ+c)lNg0`hX@U&Qhi=o% zg~Q>EwN@~8Y*v#+loz5?afeHTTt0X(jU2<*0Zvr z`@R|ERksN~kX{jVb)yvFe`dA-14#>m7wFkPhykCucGU7RP?e!rDcG~z9yaL|rwlmN zeOjU*rAV{wu%F63&l-L8bch5{NE^vY7Q@j^69FqBx2?c~HIss^hX-W)!5d?D?&-pD z-YGQRyx8MH;YUHP7>p$%D&g;_DL0%Oaw4Lp5HxrQ$FL{ zXnind^(7iVXjmP8X|@P`!&shsSMDlQ-Axz0*v{7Y z94Umn{9asegvhfNW*l*txtp{#?m1$~bGkW4L8!v0eiJS(JFg;*ivoJ)NtXVGOci7Z zy0{Ii^#V4$u5F6;6?8CZSjK=s4ICLxW|X&gF=jutaND=+0Usf?i|Rt7=|iYi+mJA-dGL{m*>7Y@7;2(b~y9( zg|89rsQRKEw>sb7T#H#=(zm{vNQWI&F2$n^PFhgWo(U%H2O$20vlzEvfK-J{#0>=i z@5KMjzY+QUJ=teJi{EU&xw#yrxq{tNe;1?z4eyDJUB0I`vfuZ=TWTt8tZrE89fLEHhqQatw^XP7+h+ ze1@fBABRm)wCJSXZY?F@GciRl&malDbV|(`swV|aRCf48k5Ak1K5vbybCz}Q`HbNP zi9q`3dUEu=_Gp~XXN?-LNA9OSVr=D|{U$d)$&+sCX9Sx{hA2B`(c5D)qJ>rs(4*qu zXg>e<(ES#zgQlrTj@@#~1C;;%U9htQR#B8a0__!fukI0!U1tqTB44W-f74KknE zZieWj@h(7l0bc}Bma>_-P%OY($kHg#CY3jgnxzdhmq&zL(3aGHL{c5VM~h)7_^NLl z=}2cVK8KCB3pkHJ0CcfkVIjb2DE|9hinVx6%29kt1|Y5V&l7rY9jlnhQ%iw9s>$#7 z>|0nUsBWVo|i4vOMHb672jJ9H{yM_H)v zvdf(I1mq#QM%cH!=%pIjBi&3geS!wP0wNqn9><^t27%a3KBjue_I=|O1I<``^6$>E z^R)J0^r=MNn1WUcd=Jye$XA`xHK66&cNIB5WSmvpN?@uY5;#A!U0+Zv)*nx+=arFD zAFsh-(5#{VL#;CzZHBh^tpFQThJXld`yRN>OOx)8?=Uve_dPcM@HnC_rTdrwgJ9M>)&;d(A&prdCWBLlbe(^noYSXcNmQwrLN&hiMZs=J zGJ#yFIM*5t;&qvP!)^1ys)aNsujlvy-zcwPP4N5b{gOD^PKRzTMw&pfyGCS^zR;ZY zuVdEw#=@7IDS#p_&yv|7BP*&$Fqp2*XUJsS5~eh1KLo1mKEH&d^tg`@TU5GNz!!8tt&|+J-~i`Fe%|Do!Hxs<@EJ)+u=r9jU6sff^(R07nQU zIX)im@*1{>64vO=7oJYk`#6H-?rtZ32kf$yO{jFUhD|o=z3pM;3TYlLe=~g6yG!V? z9oOYU4vde$&EVssM)~jG)9FBsu>i7)N$0*9h#$w%b+dIAT-*4n96X%=c)1-Px5$K; z&3zk8s_A&^C0X$bxt0(CZ(^CIs(GDe{>$gf^}w2#XQqdzXIQJyh?i#=*7;>eVg1k& z3wBV=JhZg<*>r`epVu zP3|TF4jz1Sx!khzBp)?bLf%xE9)%y=~|g@eb$Tqu6%+)^I=>FZ;b8H?--* zwT%V)Ro3dUrxJ)di7b3suvufdCk~ExD6+)`p_AmgOexCUM(EbM?l>4_xnmQ)B6>jE2z0Tt|o$e*tkx%Il_YsE(;}$msI= zf-SGzh9=mc^PUydwoU?FhWv?Id#MZK8B$)WBGB9#yhV;GD&5qu4}TqjKD8u^Lz$cX z^;eG;U16BC^DOdo#C9C`!Thg6+f1>|!}iJoKL-rh4deHXDSEo!l6i}-h9=76K)YNu z^+NGb)Kf!pdMMP&r_td6Wzp#iH=>^9G_U*KVCd#_2@73n2RtCF(8QSDax7$(q z4nD~Wuc*95$uq2GeNo+<)W==5|S#eWMSv$AdjU@1W*m4!#%RvdC4UB_TQ^bkl>b6!}yvt zf2{Y%InwWMrzcm5+{=1U5E#dv1-d|ZG#i!Lh3A|(Ohm6`Z3?mmkayl~_n8wg#bM%` z>`l>e2q-w+rp8LbC};x;r|B7GwC+BTVsh|}q^XPYW%Q@&;TsO3gf|G{t1n@-;tnBgoS+{@--KYo8xjD%|IbAwm0RY-vpcer~VghVt@$ zdn@3%Ed9<=LeXGU@FJGRjq=QupM*NDOwS=L!ObWtbjRf1 zA8I1Os+4Fa^u*n!;)cWuJRc<+iXRfUjS1!fP-o4kz2p6 z&f=G-{qSY7Gz{pG_=Aht1Eq(&^_4B8dW{DUF!OBh*JeN92J5J&%AEeHZR?7~lw2GEjR2|(q z@dgC7ovfc;PQv}oltfL-C)7}^cP>*@sr=$x6Q&hcLJE3;gNs@uAQX#HnY^YHI%~8J zI457ZQpIMM(+vXmlms{fFQv29uKlAcli#q>IR)vc{4jmyOvI+FLrTqJ{~8X!8c2w)DE=gH|p z?XDc{syZT_0Xo1Ic1(6(C7b4NDC%f^-JzIbpYr}5+X#T!W=SKo`uh4V|9*wq!)WX!Bp_o-M|`?>f7axAs?mYh+cG zFv3Q21DL#mYF%`w-~S{{2>2Y!RJ#JuQIZ5!SH*V4d0Vxp#>5^_F1SCX2 zDFFdR0cjBl0ZF9=Noj))kpoCKNJ^u0cX!`;-uM3e{(Sej{_z|RoW1v2bImcvTzk*4 zIy(Mn8}+XD3TM`*=!o7WFybil$tv@KUhvvK2ye|$f5oRWpK=aNl9j;rCs5|plup$C#>PZoKmebhpx;=9%got^my9$xu<@RZ3g_8)Gv9tuF7}+D z<-CIV_Dci9<0En5cNj%alk7|r9yy0TT;g}q{`X%G6xfLPL$op}Mb1Ur@t*W@0Ngp^ zhRGYX9!9G0j(ZsA?$vAMKUtM_umkSYwCi(6U}4yprl2Ct;s%dy{VjTIB$zaSnW7uO zMXUU^zf$)O=A~0(>LO+?t7p&y2i=<)ZZdgOQg1Q;w%qjXTexGUNQ2v$dAzYr%Pp6* zhz91BsR#O!G~p|lQ7c5XRlZX+uk{BeZ#Vvf61s(@{;He7I)AOZa4$O;X%bXNcc{>? z-wqI|!~h3m_ny(wkmTg+9tRZ@O_P&1;K5S{Fe94*Q^m=mt^z=2XKsw$@W%PvPx+Y0;_ zX~#I$`-P+BLTlw3Q%=;%devKKpZlBzc3AB@^LZA|R83hQ2@4(Zi^a!@IK-5;;4|)Z z2&yw{(J=i8p@>irc;DE2SyvHR@g5ANXM`PJbJ*)k;>Lhi5=zFi*i7xN$>w0LT?3Ab zn#t*RP`>2odb-+M&cCkWjfVH>%2GmDw2N3D)3 zmr%Bah5`Cxq1#n=#URkd5w@h*bll+C7S$m|?`@cJ1R=%6+JuLW4xGj(hKJvGd!6r; zEy10g;B(Tza88PLJ&dvOgq`1Lan-4Q?*=%kYi%AAu z<_Kq&OST1UVAM}4(D}}M5bLH*uPrS38=hZsqx_%mBHZ5lbATi~=e6w#N}$h`kdScl zPntZyBXm}QClt9v*L?_hYN6wU!*nB_i3FYR>I5b+NT> zYH!hCjP6N&aVwHwH1nyYZL}P_)e_!my1?L*i=2!yXfyepSSE~wH7IPNf2w7$i|=t{ z;gd_^(6z`q!}$`)krD3k?B!A$sAn+N1(1SM8ev?j}}Q5|z9XPW{OX)JHW0*J;D<^a#%8r?)XpMl!SZ zyx~{*9Q=EMjb%9ZTkR*(NISTPTZT@;e~aDPu$+Cd`Pb*6NqDM%cyIu#GzXp``V0Qx z;5M4M^V-Gb0PMpHOg1Xt&bEF8a}bMz=eU6uZc3Tucr1B!eyIM5-bHz4<4Tq@v-`9> zO*SIQ{&uIc6!{KOeblg0KBk)&{2j14yO_4kN9Mo>cIqQ@;!oEpZJX}DbOB05o{5)u zsKo1y36->V!ZvW-$?WwX3ZQRmnGjj8m3P;e9DdR-w()GIoHW1UsrmT6lIyp`7)*G~kA_}s69llJM9PhcWHsak`QB?e)wJaMfPoF*DhRVyM zr(0gpwsAKy$lKeqO5!m4q04z+Q8BoQ%w18jaKKnW=PCimd$~A&td1QVkru2g%A`WA z2R~!1*Jf8&e@49#tyz7bUs7$v86cSK`<~EO?m4& z85<`@tPlS%_jOH5yuKHnQ@yUzS1j%8xcOl0`*{~Vm;KzM8H{@i#P>ZpHdT}8Uv(X5 zrpfLW4AIa}iq#HLBY(bq5z1w0X5;7^UpC|BzZ)AihKh4{Px*dcZM^m|BKs|d z@VDvp62+hYIBE?Q z#lK^V`d!E`Ow@aY`X!e-pTsFk+MGh)$pGp^ej?S^h*M#=Z2a2nd2Y_84(bq5yyae8 zXFO6u)Lp14m496R{l%9BK^g`U_eyTz`no=mkA|9IL2XvWWWkfmY*tq3PcKBx4e5%p-P;86iwp}b0p7ZXDc0tIS%pT9Wa z;N2y9rORok(%Xz>cj1!zfhTvQxM{ld)YQ^4ATkmsGs|*(EKW*XU&Pw=Ytms&PVI-L z)n%)tLnGnP>Vu@1{3aYWv#l={`OU)2+L>z0!fqkw9yf22y?nVlp=Rf;E`fFITpv2p z#Ks<5SCoWTE^b(t*>&Z>sd=w)sE3{Ad5~TLt$9~ja^cTt+-`OEPTB`JJeE=$#Y2@- zPlk4R7>!nl5OVn{KAzdjrziC`qfye{zM<6E$70r1g}dx04*CYmHA95d*FD3#NjziA zt(V_suvl+l1X-1;KYPZaRxCJiN%rBum$g~iwxPH{5(+l<9-BZt^;PEP!l?c(3wEA- zldzmBv2ofN-!g5Hh_|JL+X;bul(coIDy*9(>-f6vPRifHzxNQYPx;|c+&$#08xgAeRMsAn)fvtF#0g#W zy+fDf-6X6NkG8(9{L||1mz;gRMK^hHcsl8ll`^=m57E{1_piS4!u)*tTlY2JJ5Ekc z{;%YZ2>q)saf|xu4v&uT ze9g7BwP`zYM%RXa|HexacXpe0zRARt{@oIWGAfGv^c27w4-b!xld~_5S4fCLUtb^b zo&utqw+!F&fV}t+xs2SppG=6bad6Z}vZ!trc75k)YHHFedWwhCLhFpETk3Ah&df|q zOk=3SJ4MJQG=X3e7N*S5NUE>%#rYT;8_2HxJrz8o${gqL(avNerPjL7lLVfJ{Y#cq zP*8aKCOH@mGMH}^tpC%3k%i@QR#p~G%NMmIaSDOwT^`sdIAf-_k|G#E3QTuiy%OAC z8wo5c6Mg#hX=-utRbgS_#lJsUZ)qgH_xARFZln&s+*{`aCa0+Op}@evo05{J`nvw_ z-@m`!-~@dNxbNO&8vaK!c)PVog(V@nwA%*;%0xGb1SQaZYjALcFf zqob9-=SZ&cAqN{1L+l$_+8L9RlYeHNP>)#eCpUJ)3plr(Y`62?ynVY!WkKcs{T3LH zkCBl+V2yf*>0_#DEDtULfxLnO78nF4=}QqK)Ckd2OH3~=xmEt>W^;41+uVYX$~{8O)+f-> zhZw%u|1nSC54agUj6V2|FLvF(e>A^-{Ti-t;RXKkZlu(128>(p0v$_COxzW3nQM>r z-;Fi##4|COz}^`d9u{1xDt^7Rw1gn;?(Q$g%29QdS3W3gY?IK5-Z;JI^6FJ%uKv%- zwYAXtdb!5NMzr;6YinyQ{IJmdz&0)+Vfo^g!7pf5X1@3*Ep)!Zd4*E?c=2ZIoTI3y z=w#Kwc;AX-#D82Hr8{&Mels}JRHHJEPR>?tsjnJOzN;0+*Q2-~PWA%;S_%mY2W z_jc7s*g3idgDaA4w5$jrz4%pFiJkk`7s=+-TiV-mRJe_Z*f}{Hik`J2{n)Hvk}L49 z)Q*>q;r3J9M+L^A+=eBS+jH%QTP+OyZ;y8^^5m`26a7LrNbOcbx?=E+*ml#WPyGgR zbXUgAnye!~i7Lks_QG^U#K+^M?#F(%vQJ+IpB(>;3|3@vbE*MC=@0s3GQNDdc|j`8 z`0UxU)~+sWP1;n!(&1q}7+D$2{v zx)R0IIRb~6*?$BF5=O%CT68A(SGa88*La{FjGrQ@+1d9NoIb_GOb_N6B8M%TDq1#0 z2mAZBgGD(xISyOXiim9Zbt#&}&Vf=p6Gj+7%fpis5o;rZih}B6{DFZ1#Jee&>Wj@t ziCb))b)*izETivLQc}nfNYXYqM-y0rO?^_g!_oFL#?@c>&n^<`0MVWF(LI#CR-Ntkwq1|usgj?KT~cb`Ag`uO_tKWn?H zXJD}WaNor1?DDV2#KVpa|wNMNSeWSYie~h zBt4z!bbrL|{f7_lAS_`n(lpulyv|Q8a=ff>ME$luJ9b870g<`5xcHoxb#_;VNMd4Q zTHD&{lcn74*GI)5?9@`E>CtURRe7tvY9A>oD#{teF8!XLp9g`sH#m^?UE=L=abZ_z zO^plyQo>`(0u`+$#NXiS_O@e3vJ@@k3B>AxFN{u1tKjyhnn7ra@F-XB9gJrVJqbR3 zeddEN=wpA1jfJFmr6GVwzB^g!^PE&M_E5f&_KMGkkProcBfl9bx7}LM<^Gnn4<9~^ zlkt*xSqoW%OJ?cynhZMm(}4PU&a~aSWHYzP$nB_Lso|oSC>d7eP`XldE5MPjCEB z)TU9g$jC56vEFaqsJS3cef_K#LR!d@m)OwI5FlPieBQJpj=!FF17aknlO{djLz7uq zd3n0m#kqkmd8+V}Ya+IZn}@qged5st;?@~OMMXWQZ87BQzxyQN^4T7fv{{aZ`wlT@ znR&|rINrqukn{6ghE#q-T%2Zoef|D!<@fL37h#Eb|MT36jErP;s~)`P9Qp~8_R4O; z>$QJ)OE@Ig1rtnuMWmomD9`Adp)gmNslv5%{AP{X5@5bJ_znXfg^LC-KRj~3zf^7P z@9&F?KF~7idpARs9P-_xIlHeddgfy>I~yBmoAawzFXf0-2B3G8!`eR~L^ehGtziD- z3G-Hh$GJlU7j zq}`{c+Bp_h3H&fEH5GxjoB{Fi@q?9@FJG4XH$HBhu`S`ej0GGEX6gnjYerpV+uS|| z`a8s<@BahmNi}5=r4_samF!?ZhhoU3Tn5F;i{{t)&9ENjKRy~Z$L;Ow<9C`@Luw%w z3mxa~<+%cE`hOmQ{)?Fh`&)T`0VKl@58oiDpKmZPT|&)Ed7W2A*uKOuWcjGE$$=)o)LV=iPypdLA#aA}IG|KR>@k z58}CkgP~-dR+I?|)|ED?$s<4oBP#q0$3n^YaiK-9f8RZxo9jbkBd z@wfeJ${6~fw(3v+^{t0T!d&^Rkc#t%tBEO!*f09NtLy!=AVO;E>d=@qWXZ_G%E~$w z5SN%30z?zZG-|bJ38S}iB_JT!YNoZr6}bz`62A1Zt*tE^8(VFfd>|FW$$r~Fs(F9T}90wBF|1@nV~58yi!ECSsES^a@H!IiU|NSKYC! zGAca5ln_B^X=zWP034W-!VnZ3Oh!(AGbHxSls^?IIr*2q3zlAuJqcO4d2H^!wL{2|`4~Uk7e+aS;O0Ho$1!h`#s3tSQLN zRZ>do$Fp`yY}QU$=Vl#q_Zv(9cbQ{nK!o(Lf9Y%*7@$BClj-Sc`^7(ukE=bXSy)&i zl$im$1kj*nT91{q@5;D#H~f02=h^WTbQPr1ND}v7U403tGCVTUFf>H<|=QBe+Xh1Y0l8yXre!A!r|=@j`TYbe0Z%S+XJ{PIs00h(j*T>lTH zrejtGC4e1>fe)&Knhu){tqbh0rIM17eXKL}miym)i2b#^{8(T2-TT%Xe6neep0`FY zE{<18l)G$za!WI@Q7Ae?!&sMjo{4jCa`sfeb;r7V*%SiA-qG=jvHN@n z_3G#^aw=Y91yfVT+`PP=99>=jvP;#~)#3wU+}uRK6ZnLL{Hv;@-1e6JBO*u%uS=Ho z9B3$%le1sNZ~B>!)zc^Vw3T$U`YkO2>&+L`V_IRMrn#|_l9C5>+*=$eEoh#BF>iw8 zOY-aS_@o##c>G~CzyV}k=Z%K8cltdc*$<(iP0v%_Vk78zhc)~I3aWVpd;9y%fGTj> zCvGh|mp<_rl|N|;qOfWS4GsPH=@S+wCnqBN-~pNR#iWz`L2F8p_z?w4-(~kN4zfq70(N<_O32s;0wOM;j53A zIrCED^|+dYC^-2XXItG`9336`%$o^ED_ym%lQ2>t4GkBXUV8cRB~6EtLOHC9yf7D&zf*6^ZvAVjt%A6L6i5aBP)D7{DkEixL-BPOD?Nzm!%Qdc|F)VqBfxK5> z!otF;ZE3-wq@-lyG*TKGd|4@3%b|Sww)S=mM9O_%0b;r*-$>%?w{KIRz1|#dG9owl_(*{y6dasK zW89OKMY>XCOnA#^UBjb%6iCcLCR^KaNKo)e#!%4{u;=r(a}-O2M^x;eBM1Rb8!?N;k7wghaRDj zkbd{{XpEq&EOtprNqgV~u=I!<0!adMayUWIIzY>Hpmdmshlj`H!a^WGd~JXKRbY<3 zfq^&>;?pxT=pb!A!5Clj;u3;(h;Nak18_j=-9J}N> z!0&^{k8@GykjeCFJl|H?Qn0jKa?ReL zA*8B2T^uyifU=dWjc!kh*LfDITH&h%Hd}vo)y4UV0Z!dL<||Xpmt@QIFQLY6rg$E+ zH-|HXL(NC{4eOP~vLo`w! z?)jh8J96SeLJyTsPEKaPlb{X?Lun3`{*kaOKdH{KND=Ld#o1U)9dF4?DR4iCE5@i(?{SBn8t*u|Jk5WUfFzA+7IGz$T zw?aLB{Fo+5ZgqYh+uYn7syd)})1Zc6F5va>Aq4KW zi!v^i$mSU^IcuXNRqyERq~!vQY$$i!L}l`_*!ao^EQm2V4GrR1M=?l^J|KQSZmM%DX-h3zjg;hR%w=J79z*Zlde{Zr4EH*{ zbaJpkg{k)IaoFtaQ(!MMpY5veEOaGp9j_FaZ_obb6A-ZO{qS*+V3J(+jCH%5x75ZO6 z^<$v-S*;aN4^SCM|2ScE9`R=pJ4zp5G307-d>HZpgzsWwb*t9>KmZFnb*2!js;ZiX zlFnHbggz({#0WQdp<}476TV`gAwMQ?KMK;jMRzhc*QZ!O;IChq>0~_VTwPretBNnu zC#wRdn++u0WhDyS3^>2Fa-3l(?&9Pb*LWJW&aAH!|Ij0hSNmRq{Dai=<3$e|AzxI+ zXLk`=hVirA5B~i5b3|8b>kC0I2ZtYg*9Kc#mGwAGP>Gzn`HQb?2X>s7`&BZAB-I~1 zdUQ?v6#;dwc68axf_O@jeh}e#j z4(=8f6={8TNLO)mEQ%PsnkpG;8}xm#FC!e3V*E+DYh_iHe_bOF4^Mqr5}-Tk@11{{ z8r-%o2YaI+UVMRa+>n%{yM#@cDbk>%0?8(?bX*Ru(tiP{w3IYD6Xh9}YOElGr>7pE zW(dM3-pmjo%i0e(IXE;QKKzC{MbDOytl-+;FXG-m#c=wh^FQ8H!msP&tvU69(z0cz zp@BhAD6I&7ctd@Ce^@xRz+Gi8AX`KwkLkr674)1MVNU>%)=uk;Ay$tIT~7e+S9b;a60R8HYI zl#N>wgscTiLg=L2u0oMRm*Czf_rc6aWo9{pU#f+S_AV||m_!id@dD4SUOKdOb~XXe z^voTT3NwBL+%yAZXzB`3iGFiwvX3&2)IRIkTNSW8D zT*s#11`8-d3eHEk8yTQlq1K;(few~AkYS*h8=IS_;oGkXzq|${Jt8{VAFh>vAoN#R z*^|FT&+1p0ui!z^^9K}#5Lq3atAN*}*RJ7$Oq^X@z#|L)>0 zg>C`}BP%g+@#!z&()EE1p6@FwB||Iz93LH7j;_r8?3VryCWK^^x$SY}8&?@@>;b)M zL}vxXU`lk>g0c$;4)XoO2Q(tKbg*qeh$yS6DVUit!IdPtdNX}gE`$w|juaUN$oNoP zu7#Pk2g>Z`3e|xBT%V@*g1T8=EV@vAyt{O`_$54{(o@BW zpP#=D5<0*8{!2igJ87CX*xB(^R8;o1#YIKYbJqQ`gRo~O0P0g#kfa;W&rZmwsXt73 zo)8@!9YI3#j*X?d8%pCpWbCd!1BOBZ0t$+XrXX!Z?I#f)lj;y4$gsUoKR8GUWDFPT zkx*jnDX}pmggqQUWpd;O4^RGhIU9Np1gL|Vxw*s2AUC9TQE~Bfv=EOrPZ5N?hUQ7^ z?CireUNTx*S`jHJpjn6|BqVkhd(Z+J7jV?R^GfRLU~h=Io3O>!63(Cm>kIfQ$f`@g zw6L(T&7c+uCP8oRZR9(Ig@r-gwyvP&JO~Q&kIP@-!O&;s=Lh8FagUCT@dH=&3k=M0 y9wO_RA!9e_tyBUrZbbpS?f=hq*Z*RpY{!ccqZ5TO6H|%6KNUp{g?zauKK}=Y**on3 From 1daddf1d042d424e96986cedf1d368d61588a99b Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Sat, 27 Apr 2024 10:00:36 +0300 Subject: [PATCH 93/98] Update student.ipynb --- student.ipynb | 701 +++++++++++++++++++++++++++----------------------- 1 file changed, 374 insertions(+), 327 deletions(-) diff --git a/student.ipynb b/student.ipynb index d824e657..abcd2616 100644 --- a/student.ipynb +++ b/student.ipynb @@ -135,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 1388, + "execution_count": 822, "metadata": {}, "outputs": [], "source": [ @@ -175,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 1389, + "execution_count": 823, "metadata": {}, "outputs": [ { @@ -303,7 +303,7 @@ "4 NO Average 8 Good 1987 " ] }, - "execution_count": 1389, + "execution_count": 823, "metadata": {}, "output_type": "execute_result" } @@ -327,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 1390, + "execution_count": 824, "metadata": {}, "outputs": [ { @@ -336,7 +336,7 @@ "(21597, 11)" ] }, - "execution_count": 1390, + "execution_count": 824, "metadata": {}, "output_type": "execute_result" } @@ -354,7 +354,7 @@ }, { "cell_type": "code", - "execution_count": 1391, + "execution_count": 825, "metadata": {}, "outputs": [ { @@ -388,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 1392, + "execution_count": 826, "metadata": {}, "outputs": [ { @@ -537,7 +537,7 @@ "max 1.651359e+06 3.500000 2015.000000 " ] }, - "execution_count": 1392, + "execution_count": 826, "metadata": {}, "output_type": "execute_result" } @@ -548,7 +548,7 @@ }, { "cell_type": "code", - "execution_count": 1393, + "execution_count": 827, "metadata": {}, "outputs": [ { @@ -565,7 +565,7 @@ "Name: price, dtype: float64" ] }, - "execution_count": 1393, + "execution_count": 827, "metadata": {}, "output_type": "execute_result" } @@ -585,7 +585,7 @@ }, { "cell_type": "code", - "execution_count": 1394, + "execution_count": 828, "metadata": {}, "outputs": [ { @@ -602,7 +602,7 @@ "Name: sqft_living, dtype: float64" ] }, - "execution_count": 1394, + "execution_count": 828, "metadata": {}, "output_type": "execute_result" } @@ -621,7 +621,7 @@ }, { "cell_type": "code", - "execution_count": 1395, + "execution_count": 829, "metadata": {}, "outputs": [ { @@ -643,7 +643,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 1395, + "execution_count": 829, "metadata": {}, "output_type": "execute_result" } @@ -661,7 +661,7 @@ }, { "cell_type": "code", - "execution_count": 1396, + "execution_count": 830, "metadata": {}, "outputs": [ { @@ -700,7 +700,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 1396, + "execution_count": 830, "metadata": {}, "output_type": "execute_result" } @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 1397, + "execution_count": 831, "metadata": {}, "outputs": [ { @@ -727,7 +727,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 1397, + "execution_count": 831, "metadata": {}, "output_type": "execute_result" } @@ -738,7 +738,7 @@ }, { "cell_type": "code", - "execution_count": 1398, + "execution_count": 832, "metadata": {}, "outputs": [ { @@ -759,7 +759,7 @@ "Name: count, Length: 9776, dtype: int64" ] }, - "execution_count": 1398, + "execution_count": 832, "metadata": {}, "output_type": "execute_result" } @@ -770,7 +770,7 @@ }, { "cell_type": "code", - "execution_count": 1399, + "execution_count": 833, "metadata": {}, "outputs": [ { @@ -787,7 +787,7 @@ "Name: sqft_lot, dtype: float64" ] }, - "execution_count": 1399, + "execution_count": 833, "metadata": {}, "output_type": "execute_result" } @@ -798,7 +798,7 @@ }, { "cell_type": "code", - "execution_count": 1400, + "execution_count": 834, "metadata": {}, "outputs": [ { @@ -819,7 +819,7 @@ "Name: count, Length: 116, dtype: int64" ] }, - "execution_count": 1400, + "execution_count": 834, "metadata": {}, "output_type": "execute_result" } @@ -838,7 +838,7 @@ }, { "cell_type": "code", - "execution_count": 1401, + "execution_count": 835, "metadata": {}, "outputs": [ { @@ -853,7 +853,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 1401, + "execution_count": 835, "metadata": {}, "output_type": "execute_result" } @@ -864,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 1402, + "execution_count": 836, "metadata": {}, "outputs": [ { @@ -876,7 +876,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 1402, + "execution_count": 836, "metadata": {}, "output_type": "execute_result" } @@ -887,12 +887,12 @@ }, { "cell_type": "code", - "execution_count": 1403, + "execution_count": 837, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "

" ] @@ -919,12 +919,12 @@ }, { "cell_type": "code", - "execution_count": 1404, + "execution_count": 838, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -988,7 +988,7 @@ }, { "cell_type": "code", - "execution_count": 1405, + "execution_count": 839, "metadata": {}, "outputs": [ { @@ -1008,7 +1008,7 @@ "dtype: int64" ] }, - "execution_count": 1405, + "execution_count": 839, "metadata": {}, "output_type": "execute_result" } @@ -1020,7 +1020,7 @@ }, { "cell_type": "code", - "execution_count": 1406, + "execution_count": 840, "metadata": {}, "outputs": [ { @@ -1057,7 +1057,7 @@ }, { "cell_type": "code", - "execution_count": 1407, + "execution_count": 841, "metadata": {}, "outputs": [ { @@ -1069,7 +1069,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 1407, + "execution_count": 841, "metadata": {}, "output_type": "execute_result" } @@ -1088,7 +1088,7 @@ }, { "cell_type": "code", - "execution_count": 1408, + "execution_count": 842, "metadata": {}, "outputs": [], "source": [ @@ -1097,7 +1097,7 @@ }, { "cell_type": "code", - "execution_count": 1409, + "execution_count": 843, "metadata": {}, "outputs": [ { @@ -1109,7 +1109,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 1409, + "execution_count": 843, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 1410, + "execution_count": 844, "metadata": {}, "outputs": [ { @@ -1140,7 +1140,7 @@ "dtype: int64" ] }, - "execution_count": 1410, + "execution_count": 844, "metadata": {}, "output_type": "execute_result" } @@ -1172,7 +1172,7 @@ }, { "cell_type": "code", - "execution_count": 1411, + "execution_count": 845, "metadata": {}, "outputs": [ { @@ -1235,7 +1235,7 @@ }, { "cell_type": "code", - "execution_count": 1412, + "execution_count": 846, "metadata": {}, "outputs": [], "source": [ @@ -1244,7 +1244,7 @@ }, { "cell_type": "code", - "execution_count": 1413, + "execution_count": 847, "metadata": {}, "outputs": [ { @@ -1255,7 +1255,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 1413, + "execution_count": 847, "metadata": {}, "output_type": "execute_result" } @@ -1266,7 +1266,7 @@ }, { "cell_type": "code", - "execution_count": 1414, + "execution_count": 848, "metadata": {}, "outputs": [], "source": [ @@ -1275,7 +1275,7 @@ }, { "cell_type": "code", - "execution_count": 1415, + "execution_count": 849, "metadata": {}, "outputs": [ { @@ -1284,7 +1284,7 @@ "(46360, 11)" ] }, - "execution_count": 1415, + "execution_count": 849, "metadata": {}, "output_type": "execute_result" } @@ -1295,7 +1295,7 @@ }, { "cell_type": "code", - "execution_count": 1416, + "execution_count": 850, "metadata": {}, "outputs": [], "source": [ @@ -1304,7 +1304,7 @@ }, { "cell_type": "code", - "execution_count": 1417, + "execution_count": 851, "metadata": {}, "outputs": [ { @@ -1531,7 +1531,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 1417, + "execution_count": 851, "metadata": {}, "output_type": "execute_result" } @@ -1542,7 +1542,7 @@ }, { "cell_type": "code", - "execution_count": 1418, + "execution_count": 852, "metadata": {}, "outputs": [ { @@ -1576,7 +1576,7 @@ }, { "cell_type": "code", - "execution_count": 1419, + "execution_count": 853, "metadata": {}, "outputs": [ { @@ -1597,7 +1597,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 1419, + "execution_count": 853, "metadata": {}, "output_type": "execute_result" } @@ -1615,7 +1615,7 @@ }, { "cell_type": "code", - "execution_count": 1420, + "execution_count": 854, "metadata": {}, "outputs": [], "source": [ @@ -1625,7 +1625,7 @@ }, { "cell_type": "code", - "execution_count": 1421, + "execution_count": 855, "metadata": {}, "outputs": [ { @@ -1677,7 +1677,7 @@ }, { "cell_type": "code", - "execution_count": 1422, + "execution_count": 856, "metadata": {}, "outputs": [ { @@ -1686,7 +1686,7 @@ "array(['NO', 'YES'], dtype=object)" ] }, - "execution_count": 1422, + "execution_count": 856, "metadata": {}, "output_type": "execute_result" } @@ -1708,7 +1708,7 @@ }, { "cell_type": "code", - "execution_count": 1423, + "execution_count": 857, "metadata": {}, "outputs": [ { @@ -1717,7 +1717,7 @@ "array([0., 0., 0., ..., 0., 0., 0.])" ] }, - "execution_count": 1423, + "execution_count": 857, "metadata": {}, "output_type": "execute_result" } @@ -1736,7 +1736,7 @@ }, { "cell_type": "code", - "execution_count": 1424, + "execution_count": 858, "metadata": {}, "outputs": [ { @@ -1963,7 +1963,7 @@ "[21420 rows x 11 columns]" ] }, - "execution_count": 1424, + "execution_count": 858, "metadata": {}, "output_type": "execute_result" } @@ -1978,7 +1978,7 @@ }, { "cell_type": "code", - "execution_count": 1425, + "execution_count": 859, "metadata": {}, "outputs": [ { @@ -1990,7 +1990,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 1425, + "execution_count": 859, "metadata": {}, "output_type": "execute_result" } @@ -2008,7 +2008,7 @@ }, { "cell_type": "code", - "execution_count": 1426, + "execution_count": 860, "metadata": {}, "outputs": [ { @@ -2023,7 +2023,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 1426, + "execution_count": 860, "metadata": {}, "output_type": "execute_result" } @@ -2034,7 +2034,7 @@ }, { "cell_type": "code", - "execution_count": 1427, + "execution_count": 861, "metadata": {}, "outputs": [], "source": [ @@ -2049,7 +2049,7 @@ }, { "cell_type": "code", - "execution_count": 1428, + "execution_count": 862, "metadata": {}, "outputs": [ { @@ -2069,7 +2069,7 @@ "Name: condition, Length: 21420, dtype: int64" ] }, - "execution_count": 1428, + "execution_count": 862, "metadata": {}, "output_type": "execute_result" } @@ -2080,7 +2080,7 @@ }, { "cell_type": "code", - "execution_count": 1429, + "execution_count": 863, "metadata": {}, "outputs": [ { @@ -2095,7 +2095,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 1429, + "execution_count": 863, "metadata": {}, "output_type": "execute_result" } @@ -2107,7 +2107,7 @@ }, { "cell_type": "code", - "execution_count": 1430, + "execution_count": 864, "metadata": {}, "outputs": [ { @@ -2150,7 +2150,7 @@ }, { "cell_type": "code", - "execution_count": 1431, + "execution_count": 865, "metadata": {}, "outputs": [], "source": [ @@ -2166,7 +2166,7 @@ }, { "cell_type": "code", - "execution_count": 1432, + "execution_count": 866, "metadata": {}, "outputs": [ { @@ -2225,7 +2225,7 @@ }, { "cell_type": "code", - "execution_count": 1433, + "execution_count": 867, "metadata": {}, "outputs": [], "source": [ @@ -2250,7 +2250,7 @@ }, { "cell_type": "code", - "execution_count": 1434, + "execution_count": 868, "metadata": {}, "outputs": [ { @@ -2271,7 +2271,7 @@ }, { "cell_type": "code", - "execution_count": 1435, + "execution_count": 869, "metadata": {}, "outputs": [ { @@ -2319,7 +2319,7 @@ }, { "cell_type": "code", - "execution_count": 1436, + "execution_count": 870, "metadata": {}, "outputs": [ { @@ -2350,7 +2350,7 @@ }, { "cell_type": "code", - "execution_count": 1437, + "execution_count": 871, "metadata": {}, "outputs": [ { @@ -2398,7 +2398,7 @@ }, { "cell_type": "code", - "execution_count": 1438, + "execution_count": 872, "metadata": {}, "outputs": [ { @@ -2424,7 +2424,7 @@ }, { "cell_type": "code", - "execution_count": 1439, + "execution_count": 873, "metadata": {}, "outputs": [ { @@ -2472,7 +2472,7 @@ }, { "cell_type": "code", - "execution_count": 1440, + "execution_count": 874, "metadata": {}, "outputs": [ { @@ -2498,7 +2498,7 @@ }, { "cell_type": "code", - "execution_count": 1441, + "execution_count": 875, "metadata": {}, "outputs": [ { @@ -2540,7 +2540,7 @@ }, { "cell_type": "code", - "execution_count": 1442, + "execution_count": 876, "metadata": {}, "outputs": [], "source": [ @@ -2551,7 +2551,7 @@ }, { "cell_type": "code", - "execution_count": 1443, + "execution_count": 877, "metadata": {}, "outputs": [ { @@ -2585,7 +2585,7 @@ }, { "cell_type": "code", - "execution_count": 1444, + "execution_count": 878, "metadata": {}, "outputs": [], "source": [ @@ -2595,7 +2595,7 @@ }, { "cell_type": "code", - "execution_count": 1445, + "execution_count": 879, "metadata": {}, "outputs": [ { @@ -2674,7 +2674,7 @@ }, { "cell_type": "code", - "execution_count": 1446, + "execution_count": 880, "metadata": {}, "outputs": [ { @@ -2721,7 +2721,7 @@ }, { "cell_type": "code", - "execution_count": 1447, + "execution_count": 881, "metadata": {}, "outputs": [ { @@ -2747,7 +2747,7 @@ }, { "cell_type": "code", - "execution_count": 1448, + "execution_count": 882, "metadata": {}, "outputs": [ { @@ -2769,7 +2769,7 @@ }, { "cell_type": "code", - "execution_count": 1449, + "execution_count": 883, "metadata": {}, "outputs": [ { @@ -2800,7 +2800,7 @@ }, { "cell_type": "code", - "execution_count": 1450, + "execution_count": 884, "metadata": {}, "outputs": [ { @@ -2823,7 +2823,7 @@ }, { "cell_type": "code", - "execution_count": 1451, + "execution_count": 885, "metadata": {}, "outputs": [ { @@ -2845,7 +2845,7 @@ }, { "cell_type": "code", - "execution_count": 1452, + "execution_count": 886, "metadata": {}, "outputs": [ { @@ -2883,7 +2883,7 @@ }, { "cell_type": "code", - "execution_count": 1453, + "execution_count": 887, "metadata": {}, "outputs": [ { @@ -2923,7 +2923,7 @@ }, { "cell_type": "code", - "execution_count": 1454, + "execution_count": 888, "metadata": {}, "outputs": [ { @@ -2961,7 +2961,7 @@ }, { "cell_type": "code", - "execution_count": 1455, + "execution_count": 889, "metadata": {}, "outputs": [ { @@ -3113,7 +3113,7 @@ }, { "cell_type": "code", - "execution_count": 1456, + "execution_count": 890, "metadata": {}, "outputs": [ { @@ -3337,7 +3337,7 @@ "yr_built 0.492854 -0.032005 -0.361670 0.452886 1.000000 " ] }, - "execution_count": 1456, + "execution_count": 890, "metadata": {}, "output_type": "execute_result" } @@ -3374,7 +3374,7 @@ }, { "cell_type": "code", - "execution_count": 1457, + "execution_count": 891, "metadata": {}, "outputs": [ { @@ -3408,7 +3408,7 @@ }, { "cell_type": "code", - "execution_count": 1458, + "execution_count": 892, "metadata": {}, "outputs": [ { @@ -3475,7 +3475,7 @@ "4 1680 8" ] }, - "execution_count": 1458, + "execution_count": 892, "metadata": {}, "output_type": "execute_result" } @@ -3496,7 +3496,7 @@ }, { "cell_type": "code", - "execution_count": 1459, + "execution_count": 893, "metadata": {}, "outputs": [ { @@ -3614,7 +3614,7 @@ "[20978 rows x 3 columns]" ] }, - "execution_count": 1459, + "execution_count": 893, "metadata": {}, "output_type": "execute_result" } @@ -3629,7 +3629,7 @@ }, { "cell_type": "code", - "execution_count": 1460, + "execution_count": 894, "metadata": {}, "outputs": [], "source": [ @@ -3638,7 +3638,7 @@ }, { "cell_type": "code", - "execution_count": 1461, + "execution_count": 895, "metadata": {}, "outputs": [ { @@ -3656,10 +3656,10 @@ " Method: Least Squares F-statistic: 9901. \n", "\n", "\n", - " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", + " Date: Sat, 27 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 15:02:24 Log-Likelihood: -2.8743e+05\n", + " Time: 09:59:13 Log-Likelihood: -2.8743e+05\n", "\n", "\n", " No. Observations: 20978 AIC: 5.749e+05 \n", @@ -3710,8 +3710,8 @@ "\\textbf{Dep. Variable:} & price & \\textbf{ R-squared: } & 0.486 \\\\\n", "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.486 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 9901. \\\\\n", - "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 15:02:24 & \\textbf{ Log-Likelihood: } & -2.8743e+05 \\\\\n", + "\\textbf{Date:} & Sat, 27 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 09:59:13 & \\textbf{ Log-Likelihood: } & -2.8743e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & 5.749e+05 \\\\\n", "\\textbf{Df Residuals:} & 20975 & \\textbf{ BIC: } & 5.749e+05 \\\\\n", "\\textbf{Df Model:} & 2 & \\textbf{ } & \\\\\n", @@ -3749,8 +3749,8 @@ "Dep. Variable: price R-squared: 0.486\n", "Model: OLS Adj. R-squared: 0.486\n", "Method: Least Squares F-statistic: 9901.\n", - "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 15:02:24 Log-Likelihood: -2.8743e+05\n", + "Date: Sat, 27 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 09:59:13 Log-Likelihood: -2.8743e+05\n", "No. Observations: 20978 AIC: 5.749e+05\n", "Df Residuals: 20975 BIC: 5.749e+05\n", "Df Model: 2 \n", @@ -3775,7 +3775,7 @@ "\"\"\"" ] }, - "execution_count": 1461, + "execution_count": 895, "metadata": {}, "output_type": "execute_result" } @@ -3800,7 +3800,7 @@ }, { "cell_type": "code", - "execution_count": 1462, + "execution_count": 896, "metadata": {}, "outputs": [], "source": [ @@ -3810,7 +3810,7 @@ }, { "cell_type": "code", - "execution_count": 1463, + "execution_count": 897, "metadata": {}, "outputs": [], "source": [ @@ -3819,7 +3819,7 @@ }, { "cell_type": "code", - "execution_count": 1464, + "execution_count": 898, "metadata": {}, "outputs": [ { @@ -3841,7 +3841,7 @@ }, { "cell_type": "code", - "execution_count": 1465, + "execution_count": 899, "metadata": {}, "outputs": [ { @@ -4044,7 +4044,7 @@ "[15733 rows x 9 columns]" ] }, - "execution_count": 1465, + "execution_count": 899, "metadata": {}, "output_type": "execute_result" } @@ -4088,7 +4088,7 @@ }, { "cell_type": "code", - "execution_count": 1466, + "execution_count": 900, "metadata": {}, "outputs": [ { @@ -4097,7 +4097,7 @@ "[array([1, 2, 3, 4, 5], dtype=int64)]" ] }, - "execution_count": 1466, + "execution_count": 900, "metadata": {}, "output_type": "execute_result" } @@ -4120,7 +4120,7 @@ }, { "cell_type": "code", - "execution_count": 1467, + "execution_count": 901, "metadata": {}, "outputs": [ { @@ -4135,7 +4135,7 @@ " [0., 0., 0., 1., 0.]])" ] }, - "execution_count": 1467, + "execution_count": 901, "metadata": {}, "output_type": "execute_result" } @@ -4152,7 +4152,7 @@ }, { "cell_type": "code", - "execution_count": 1468, + "execution_count": 902, "metadata": {}, "outputs": [ { @@ -4294,7 +4294,7 @@ "[15733 rows x 5 columns]" ] }, - "execution_count": 1468, + "execution_count": 902, "metadata": {}, "output_type": "execute_result" } @@ -4320,7 +4320,7 @@ }, { "cell_type": "code", - "execution_count": 1469, + "execution_count": 903, "metadata": {}, "outputs": [ { @@ -4511,7 +4511,7 @@ "[15733 rows x 8 columns]" ] }, - "execution_count": 1469, + "execution_count": 903, "metadata": {}, "output_type": "execute_result" } @@ -4524,7 +4524,7 @@ }, { "cell_type": "code", - "execution_count": 1470, + "execution_count": 904, "metadata": {}, "outputs": [ { @@ -4775,7 +4775,7 @@ "[15733 rows x 13 columns]" ] }, - "execution_count": 1470, + "execution_count": 904, "metadata": {}, "output_type": "execute_result" } @@ -4800,7 +4800,7 @@ }, { "cell_type": "code", - "execution_count": 1471, + "execution_count": 905, "metadata": {}, "outputs": [ { @@ -5039,7 +5039,7 @@ "[15733 rows x 12 columns]" ] }, - "execution_count": 1471, + "execution_count": 905, "metadata": {}, "output_type": "execute_result" } @@ -5052,7 +5052,7 @@ }, { "cell_type": "code", - "execution_count": 1472, + "execution_count": 906, "metadata": {}, "outputs": [ { @@ -5087,13 +5087,13 @@ }, { "cell_type": "code", - "execution_count": 1473, + "execution_count": 907, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "" + "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "LinearRegression()" ] }, - "execution_count": 1473, + "execution_count": 907, "metadata": {}, "output_type": "execute_result" } @@ -5519,7 +5519,7 @@ }, { "cell_type": "code", - "execution_count": 1474, + "execution_count": 908, "metadata": {}, "outputs": [ { @@ -5528,7 +5528,7 @@ "array([0.61210062, 0.60849282, 0.59087099])" ] }, - "execution_count": 1474, + "execution_count": 908, "metadata": {}, "output_type": "execute_result" } @@ -5548,7 +5548,7 @@ }, { "cell_type": "code", - "execution_count": 1475, + "execution_count": 909, "metadata": {}, "outputs": [], "source": [ @@ -5558,7 +5558,7 @@ }, { "cell_type": "code", - "execution_count": 1476, + "execution_count": 910, "metadata": {}, "outputs": [ { @@ -5761,7 +5761,7 @@ "[5245 rows x 9 columns]" ] }, - "execution_count": 1476, + "execution_count": 910, "metadata": {}, "output_type": "execute_result" } @@ -5772,7 +5772,7 @@ }, { "cell_type": "code", - "execution_count": 1477, + "execution_count": 911, "metadata": {}, "outputs": [ { @@ -6023,23 +6023,21 @@ "[5245 rows x 13 columns]" ] }, - "execution_count": 1477, + "execution_count": 911, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Transform condition_test using the encoder and assign the result to condition_encoded_test\n", + "# One-hot encode condition\n", + "condition_test = X_test[[\"condition\"]]\n", "condition_encoded_test = ohe.transform(condition_test)\n", "\n", - "# Convert the sparse matrix to a dense array\n", - "condition_encoded_test_array = condition_encoded_test.toarray()\n", - "\n", - "# Make the transformed data into a DataFrame\n", + "# Convert encoded condition data into a DataFrame\n", "condition_encoded_test_df = pd.DataFrame(\n", - " condition_encoded_test_array,\n", - " columns=ohe.categories_[0],\n", - " index=X_test.index\n", + " condition_encoded_test.toarray(), # Convert sparse matrix to array\n", + " columns=ohe.categories_[0], # Assuming ohe.categories_ contains the category names\n", + " index=X_test.index # Use X_test index for the new DataFrame\n", ")\n", "\n", "# Drop the original \"condition\" column from X_test\n", @@ -6048,12 +6046,13 @@ "# Concatenate X_test with the encoded condition data\n", "X_test = pd.concat([X_test, condition_encoded_test_df], axis=1)\n", "\n", + "# Visually inspect X_test\n", "X_test\n" ] }, { "cell_type": "code", - "execution_count": 1478, + "execution_count": 912, "metadata": {}, "outputs": [ { @@ -6292,7 +6291,7 @@ "[5245 rows x 12 columns]" ] }, - "execution_count": 1478, + "execution_count": 912, "metadata": {}, "output_type": "execute_result" } @@ -6304,7 +6303,7 @@ }, { "cell_type": "code", - "execution_count": 1479, + "execution_count": 913, "metadata": {}, "outputs": [ { @@ -6313,7 +6312,7 @@ "0.617288818755894" ] }, - "execution_count": 1479, + "execution_count": 913, "metadata": {}, "output_type": "execute_result" } @@ -6328,7 +6327,7 @@ }, { "cell_type": "code", - "execution_count": 1480, + "execution_count": 914, "metadata": {}, "outputs": [ { @@ -6363,7 +6362,7 @@ }, { "cell_type": "code", - "execution_count": 1481, + "execution_count": 915, "metadata": {}, "outputs": [ { @@ -6402,7 +6401,7 @@ }, { "cell_type": "code", - "execution_count": 1482, + "execution_count": 916, "metadata": {}, "outputs": [ { @@ -6443,7 +6442,7 @@ }, { "cell_type": "code", - "execution_count": 1483, + "execution_count": 917, "metadata": {}, "outputs": [], "source": [ @@ -6452,7 +6451,7 @@ }, { "cell_type": "code", - "execution_count": 1484, + "execution_count": 918, "metadata": {}, "outputs": [ { @@ -6484,7 +6483,7 @@ }, { "cell_type": "code", - "execution_count": 1485, + "execution_count": 919, "metadata": {}, "outputs": [], "source": [ @@ -6493,7 +6492,7 @@ }, { "cell_type": "code", - "execution_count": 1486, + "execution_count": 920, "metadata": {}, "outputs": [ { @@ -6524,7 +6523,7 @@ }, { "cell_type": "code", - "execution_count": 1487, + "execution_count": 921, "metadata": {}, "outputs": [], "source": [ @@ -6534,7 +6533,7 @@ }, { "cell_type": "code", - "execution_count": 1488, + "execution_count": 922, "metadata": {}, "outputs": [ { @@ -6785,7 +6784,7 @@ "[15733 rows x 13 columns]" ] }, - "execution_count": 1488, + "execution_count": 922, "metadata": {}, "output_type": "execute_result" } @@ -6797,7 +6796,7 @@ }, { "cell_type": "code", - "execution_count": 1489, + "execution_count": 923, "metadata": {}, "outputs": [], "source": [ @@ -6806,7 +6805,7 @@ }, { "cell_type": "code", - "execution_count": 1490, + "execution_count": 924, "metadata": {}, "outputs": [ { @@ -6824,10 +6823,10 @@ " Method: Least Squares F-statistic: 2010. \n", "\n", "\n", - " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", + " Date: Sat, 27 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 15:02:35 Log-Likelihood: -2.1360e+05\n", + " Time: 09:59:22 Log-Likelihood: -2.1360e+05\n", "\n", "\n", " No. Observations: 15733 AIC: 4.272e+05 \n", @@ -6908,8 +6907,8 @@ "\\textbf{Dep. Variable:} & price & \\textbf{ R-squared: } & 0.605 \\\\\n", "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.605 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2010. \\\\\n", - "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 15:02:35 & \\textbf{ Log-Likelihood: } & -2.1360e+05 \\\\\n", + "\\textbf{Date:} & Sat, 27 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 09:59:22 & \\textbf{ Log-Likelihood: } & -2.1360e+05 \\\\\n", "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.272e+05 \\\\\n", "\\textbf{Df Residuals:} & 15720 & \\textbf{ BIC: } & 4.273e+05 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -6957,8 +6956,8 @@ "Dep. Variable: price R-squared: 0.605\n", "Model: OLS Adj. R-squared: 0.605\n", "Method: Least Squares F-statistic: 2010.\n", - "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 15:02:35 Log-Likelihood: -2.1360e+05\n", + "Date: Sat, 27 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 09:59:22 Log-Likelihood: -2.1360e+05\n", "No. Observations: 15733 AIC: 4.272e+05\n", "Df Residuals: 15720 BIC: 4.273e+05\n", "Df Model: 12 \n", @@ -6993,7 +6992,7 @@ "\"\"\"" ] }, - "execution_count": 1490, + "execution_count": 924, "metadata": {}, "output_type": "execute_result" } @@ -7018,7 +7017,7 @@ }, { "cell_type": "code", - "execution_count": 1491, + "execution_count": 925, "metadata": {}, "outputs": [ { @@ -7053,14 +7052,14 @@ }, { "cell_type": "code", - "execution_count": 1492, + "execution_count": 926, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -7068,27 +7067,34 @@ } ], "source": [ - "# Create scatter plots for each feature\n", - "fig, axes = plt.subplots(3, 3, figsize=(15, 15))\n", + "import matplotlib.pyplot as plt\n", + "\n", + "scatterplot_data = X_train.drop(\"grade\", axis=1)\n", + "\n", + "num_cols = len(scatterplot_data.columns)\n", + "num_rows = (num_cols + 2) // 3 # Calculate number of rows needed based on number of columns\n", + "\n", + "fig, axes = plt.subplots(nrows=num_rows, ncols=3, figsize=(12, 8))\n", "fig.set_tight_layout(True)\n", "\n", "for index, col in enumerate(scatterplot_data.columns):\n", - " ax = axes[index // 3][index % 3] if index < 9 else None # Check if index is within bounds\n", - " if ax is not None:\n", - " ax.scatter(X_train[col], y_train, alpha=0.2)\n", - " ax.set_xlabel(col)\n", - " ax.set_ylabel(\"listing price\")\n", + " ax = axes[index // 3][index % 3]\n", + " ax.scatter(scatterplot_data[col], y_train, alpha=0.2)\n", + " ax.set_xlabel(col)\n", + " ax.set_ylabel(\"listing price\")\n", "\n", - "# Save the plot as PNG\n", - "plt.savefig(\"scatter_plot_matrix.png\")\n", + "# Remove any extra subplots if there are fewer features than expected\n", + "for i in range(num_cols, num_rows * 3):\n", + " fig.delaxes(axes.flatten()[i])\n", "\n", - "# Show the plot\n", - "plt.show()\n" + "# Save the plot to a PNG file\n", + "plt.savefig(\"scatterplot.png\")\n", + "\n" ] }, { "cell_type": "code", - "execution_count": 1493, + "execution_count": 927, "metadata": {}, "outputs": [ { @@ -7123,7 +7129,7 @@ }, { "cell_type": "code", - "execution_count": 1494, + "execution_count": 928, "metadata": {}, "outputs": [ { @@ -7277,7 +7283,7 @@ "[15733 rows x 6 columns]" ] }, - "execution_count": 1494, + "execution_count": 928, "metadata": {}, "output_type": "execute_result" } @@ -7295,7 +7301,7 @@ }, { "cell_type": "code", - "execution_count": 1495, + "execution_count": 929, "metadata": {}, "outputs": [ { @@ -7334,7 +7340,7 @@ }, { "cell_type": "code", - "execution_count": 1496, + "execution_count": 930, "metadata": {}, "outputs": [ { @@ -7352,10 +7358,10 @@ " Method: Least Squares F-statistic: 2300. \n", "\n", "\n", - " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", + " Date: Sat, 27 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 15:02:44 Log-Likelihood: -2.1596e+05\n", + " Time: 09:59:33 Log-Likelihood: -2.1596e+05\n", "\n", "\n", " No. Observations: 15733 AIC: 4.319e+05 \n", @@ -7418,8 +7424,8 @@ "\\textbf{Dep. Variable:} & price & \\textbf{ R-squared: } & 0.467 \\\\\n", "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.467 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2300. \\\\\n", - "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 15:02:44 & \\textbf{ Log-Likelihood: } & -2.1596e+05 \\\\\n", + "\\textbf{Date:} & Sat, 27 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 09:59:33 & \\textbf{ Log-Likelihood: } & -2.1596e+05 \\\\\n", "\\textbf{No. Observations:} & 15733 & \\textbf{ AIC: } & 4.319e+05 \\\\\n", "\\textbf{Df Residuals:} & 15726 & \\textbf{ BIC: } & 4.320e+05 \\\\\n", "\\textbf{Df Model:} & 6 & \\textbf{ } & \\\\\n", @@ -7461,8 +7467,8 @@ "Dep. Variable: price R-squared: 0.467\n", "Model: OLS Adj. R-squared: 0.467\n", "Method: Least Squares F-statistic: 2300.\n", - "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 15:02:44 Log-Likelihood: -2.1596e+05\n", + "Date: Sat, 27 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 09:59:33 Log-Likelihood: -2.1596e+05\n", "No. Observations: 15733 AIC: 4.319e+05\n", "Df Residuals: 15726 BIC: 4.320e+05\n", "Df Model: 6 \n", @@ -7491,7 +7497,7 @@ "\"\"\"" ] }, - "execution_count": 1496, + "execution_count": 930, "metadata": {}, "output_type": "execute_result" } @@ -7511,7 +7517,7 @@ }, { "cell_type": "code", - "execution_count": 1497, + "execution_count": 931, "metadata": {}, "outputs": [], "source": [ @@ -7520,7 +7526,7 @@ }, { "cell_type": "code", - "execution_count": 1498, + "execution_count": 932, "metadata": {}, "outputs": [ { @@ -7575,7 +7581,7 @@ }, { "cell_type": "code", - "execution_count": 1499, + "execution_count": 933, "metadata": {}, "outputs": [ { @@ -7614,7 +7620,7 @@ }, { "cell_type": "code", - "execution_count": 1500, + "execution_count": 934, "metadata": {}, "outputs": [ { @@ -7681,7 +7687,7 @@ "2 sqft_living grade 0.481743 0.476978 Yes" ] }, - "execution_count": 1500, + "execution_count": 934, "metadata": {}, "output_type": "execute_result" } @@ -7765,7 +7771,7 @@ }, { "cell_type": "code", - "execution_count": 1501, + "execution_count": 935, "metadata": {}, "outputs": [ { @@ -7799,7 +7805,7 @@ }, { "cell_type": "code", - "execution_count": 1502, + "execution_count": 936, "metadata": {}, "outputs": [ { @@ -7828,7 +7834,7 @@ }, { "cell_type": "code", - "execution_count": 1503, + "execution_count": 937, "metadata": {}, "outputs": [ { @@ -7847,7 +7853,7 @@ }, { "cell_type": "code", - "execution_count": 1504, + "execution_count": 938, "metadata": {}, "outputs": [ { @@ -7856,7 +7862,7 @@ "[array([1, 2, 3, 4, 5], dtype=int64)]" ] }, - "execution_count": 1504, + "execution_count": 938, "metadata": {}, "output_type": "execute_result" } @@ -7870,7 +7876,7 @@ }, { "cell_type": "code", - "execution_count": 1505, + "execution_count": 939, "metadata": {}, "outputs": [ { @@ -7880,7 +7886,7 @@ "\twith 20978 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 1505, + "execution_count": 939, "metadata": {}, "output_type": "execute_result" } @@ -7893,7 +7899,7 @@ }, { "cell_type": "code", - "execution_count": 1506, + "execution_count": 940, "metadata": {}, "outputs": [ { @@ -7933,7 +7939,7 @@ }, { "cell_type": "code", - "execution_count": 1507, + "execution_count": 941, "metadata": {}, "outputs": [ { @@ -8148,7 +8154,7 @@ "[20978 rows x 10 columns]" ] }, - "execution_count": 1507, + "execution_count": 941, "metadata": {}, "output_type": "execute_result" } @@ -8160,7 +8166,7 @@ }, { "cell_type": "code", - "execution_count": 1508, + "execution_count": 942, "metadata": {}, "outputs": [ { @@ -8216,7 +8222,7 @@ }, { "cell_type": "code", - "execution_count": 1509, + "execution_count": 943, "metadata": {}, "outputs": [ { @@ -8479,7 +8485,7 @@ "[20978 rows x 14 columns]" ] }, - "execution_count": 1509, + "execution_count": 943, "metadata": {}, "output_type": "execute_result" } @@ -8491,7 +8497,7 @@ }, { "cell_type": "code", - "execution_count": 1510, + "execution_count": 944, "metadata": {}, "outputs": [ { @@ -8742,7 +8748,7 @@ "[20978 rows x 13 columns]" ] }, - "execution_count": 1510, + "execution_count": 944, "metadata": {}, "output_type": "execute_result" } @@ -8754,7 +8760,7 @@ }, { "cell_type": "code", - "execution_count": 1511, + "execution_count": 945, "metadata": {}, "outputs": [ { @@ -8888,7 +8894,7 @@ "4 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 1511, + "execution_count": 945, "metadata": {}, "output_type": "execute_result" } @@ -8901,7 +8907,7 @@ }, { "cell_type": "code", - "execution_count": 1512, + "execution_count": 946, "metadata": {}, "outputs": [ { @@ -9152,7 +9158,7 @@ "[20978 rows x 13 columns]" ] }, - "execution_count": 1512, + "execution_count": 946, "metadata": {}, "output_type": "execute_result" } @@ -9165,7 +9171,7 @@ }, { "cell_type": "code", - "execution_count": 1513, + "execution_count": 947, "metadata": {}, "outputs": [], "source": [ @@ -9174,7 +9180,7 @@ }, { "cell_type": "code", - "execution_count": 1514, + "execution_count": 948, "metadata": {}, "outputs": [ { @@ -9192,10 +9198,10 @@ " Method: Least Squares F-statistic: 2714. \n", "\n", "\n", - " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", + " Date: Sat, 27 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 15:02:49 Log-Likelihood: -2.8457e+05\n", + " Time: 09:59:38 Log-Likelihood: -2.8457e+05\n", "\n", "\n", " No. Observations: 20978 AIC: 5.692e+05 \n", @@ -9276,8 +9282,8 @@ "\\textbf{Dep. Variable:} & price & \\textbf{ R-squared: } & 0.608 \\\\\n", "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.608 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 2714. \\\\\n", - "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 15:02:49 & \\textbf{ Log-Likelihood: } & -2.8457e+05 \\\\\n", + "\\textbf{Date:} & Sat, 27 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 09:59:38 & \\textbf{ Log-Likelihood: } & -2.8457e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & 5.692e+05 \\\\\n", "\\textbf{Df Residuals:} & 20965 & \\textbf{ BIC: } & 5.693e+05 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -9325,8 +9331,8 @@ "Dep. Variable: price R-squared: 0.608\n", "Model: OLS Adj. R-squared: 0.608\n", "Method: Least Squares F-statistic: 2714.\n", - "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 15:02:49 Log-Likelihood: -2.8457e+05\n", + "Date: Sat, 27 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 09:59:38 Log-Likelihood: -2.8457e+05\n", "No. Observations: 20978 AIC: 5.692e+05\n", "Df Residuals: 20965 BIC: 5.693e+05\n", "Df Model: 12 \n", @@ -9361,7 +9367,7 @@ "\"\"\"" ] }, - "execution_count": 1514, + "execution_count": 948, "metadata": {}, "output_type": "execute_result" } @@ -9372,7 +9378,7 @@ }, { "cell_type": "code", - "execution_count": 1515, + "execution_count": 949, "metadata": {}, "outputs": [], "source": [ @@ -9381,7 +9387,7 @@ }, { "cell_type": "code", - "execution_count": 1516, + "execution_count": 950, "metadata": {}, "outputs": [ { @@ -9403,7 +9409,7 @@ }, { "cell_type": "code", - "execution_count": 1517, + "execution_count": 951, "metadata": {}, "outputs": [], "source": [ @@ -9413,7 +9419,7 @@ }, { "cell_type": "code", - "execution_count": 1518, + "execution_count": 952, "metadata": {}, "outputs": [ { @@ -9422,7 +9428,7 @@ "0.6172888187558685" ] }, - "execution_count": 1518, + "execution_count": 952, "metadata": {}, "output_type": "execute_result" } @@ -9446,7 +9452,7 @@ }, { "cell_type": "code", - "execution_count": 1519, + "execution_count": 953, "metadata": {}, "outputs": [ { @@ -9488,7 +9494,7 @@ }, { "cell_type": "code", - "execution_count": 1520, + "execution_count": 954, "metadata": {}, "outputs": [ { @@ -9525,7 +9531,7 @@ }, { "cell_type": "code", - "execution_count": 1521, + "execution_count": 955, "metadata": {}, "outputs": [ { @@ -9665,7 +9671,7 @@ "4 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 1521, + "execution_count": 955, "metadata": {}, "output_type": "execute_result" } @@ -9677,7 +9683,7 @@ }, { "cell_type": "code", - "execution_count": 1522, + "execution_count": 956, "metadata": {}, "outputs": [], "source": [ @@ -9687,7 +9693,7 @@ }, { "cell_type": "code", - "execution_count": 1523, + "execution_count": 957, "metadata": {}, "outputs": [ { @@ -9805,7 +9811,7 @@ "[20978 rows x 3 columns]" ] }, - "execution_count": 1523, + "execution_count": 957, "metadata": {}, "output_type": "execute_result" } @@ -9816,7 +9822,7 @@ }, { "cell_type": "code", - "execution_count": 1524, + "execution_count": 958, "metadata": {}, "outputs": [], "source": [ @@ -9839,7 +9845,7 @@ }, { "cell_type": "code", - "execution_count": 1525, + "execution_count": 959, "metadata": {}, "outputs": [], "source": [ @@ -9849,7 +9855,7 @@ }, { "cell_type": "code", - "execution_count": 1526, + "execution_count": 960, "metadata": {}, "outputs": [ { @@ -10001,7 +10007,7 @@ "4 8080 1.0 0.0 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 1526, + "execution_count": 960, "metadata": {}, "output_type": "execute_result" } @@ -10013,7 +10019,7 @@ }, { "cell_type": "code", - "execution_count": 1527, + "execution_count": 961, "metadata": {}, "outputs": [ { @@ -10159,7 +10165,7 @@ "4 1.0 0.0 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 1527, + "execution_count": 961, "metadata": {}, "output_type": "execute_result" } @@ -10171,7 +10177,7 @@ }, { "cell_type": "code", - "execution_count": 1528, + "execution_count": 962, "metadata": {}, "outputs": [ { @@ -10311,7 +10317,7 @@ "4 0.0 8 1987 0.0 1.0 0.0 0.0 " ] }, - "execution_count": 1528, + "execution_count": 962, "metadata": {}, "output_type": "execute_result" } @@ -10323,7 +10329,7 @@ }, { "cell_type": "code", - "execution_count": 1529, + "execution_count": 963, "metadata": {}, "outputs": [], "source": [ @@ -10332,7 +10338,7 @@ }, { "cell_type": "code", - "execution_count": 1530, + "execution_count": 964, "metadata": {}, "outputs": [ { @@ -10350,10 +10356,10 @@ " Method: Least Squares F-statistic: 1.306e+30\n", "\n", "\n", - " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", + " Date: Sat, 27 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 15:02:52 Log-Likelihood: 6.2012e+05\n", + " Time: 09:59:42 Log-Likelihood: 6.2012e+05\n", "\n", "\n", " No. Observations: 20978 AIC: -1.240e+06\n", @@ -10437,8 +10443,8 @@ "\\textbf{Dep. Variable:} & price\\_log & \\textbf{ R-squared: } & 1.000 \\\\\n", "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 1.000 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1.306e+30 \\\\\n", - "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 15:02:52 & \\textbf{ Log-Likelihood: } & 6.2012e+05 \\\\\n", + "\\textbf{Date:} & Sat, 27 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 09:59:42 & \\textbf{ Log-Likelihood: } & 6.2012e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & -1.240e+06 \\\\\n", "\\textbf{Df Residuals:} & 20964 & \\textbf{ BIC: } & -1.240e+06 \\\\\n", "\\textbf{Df Model:} & 13 & \\textbf{ } & \\\\\n", @@ -10487,8 +10493,8 @@ "Dep. Variable: price_log R-squared: 1.000\n", "Model: OLS Adj. R-squared: 1.000\n", "Method: Least Squares F-statistic: 1.306e+30\n", - "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 15:02:52 Log-Likelihood: 6.2012e+05\n", + "Date: Sat, 27 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 09:59:42 Log-Likelihood: 6.2012e+05\n", "No. Observations: 20978 AIC: -1.240e+06\n", "Df Residuals: 20964 BIC: -1.240e+06\n", "Df Model: 13 \n", @@ -10524,7 +10530,7 @@ "\"\"\"" ] }, - "execution_count": 1530, + "execution_count": 964, "metadata": {}, "output_type": "execute_result" } @@ -10552,7 +10558,7 @@ }, { "cell_type": "code", - "execution_count": 1531, + "execution_count": 965, "metadata": {}, "outputs": [ { @@ -10686,7 +10692,7 @@ "4 0.0 8 1987 1.0 0.0 0.0 " ] }, - "execution_count": 1531, + "execution_count": 965, "metadata": {}, "output_type": "execute_result" } @@ -10698,7 +10704,7 @@ }, { "cell_type": "code", - "execution_count": 1532, + "execution_count": 966, "metadata": {}, "outputs": [ { @@ -10716,10 +10722,10 @@ " Method: Least Squares F-statistic: 1.115e+30\n", "\n", "\n", - " Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00 \n", + " Date: Sat, 27 Apr 2024 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 15:02:53 Log-Likelihood: 6.1762e+05\n", + " Time: 09:59:44 Log-Likelihood: 6.1762e+05\n", "\n", "\n", " No. Observations: 20978 AIC: -1.235e+06\n", @@ -10800,8 +10806,8 @@ "\\textbf{Dep. Variable:} & price\\_log & \\textbf{ R-squared: } & 1.000 \\\\\n", "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 1.000 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1.115e+30 \\\\\n", - "\\textbf{Date:} & Fri, 26 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", - "\\textbf{Time:} & 15:02:53 & \\textbf{ Log-Likelihood: } & 6.1762e+05 \\\\\n", + "\\textbf{Date:} & Sat, 27 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 09:59:44 & \\textbf{ Log-Likelihood: } & 6.1762e+05 \\\\\n", "\\textbf{No. Observations:} & 20978 & \\textbf{ AIC: } & -1.235e+06 \\\\\n", "\\textbf{Df Residuals:} & 20965 & \\textbf{ BIC: } & -1.235e+06 \\\\\n", "\\textbf{Df Model:} & 12 & \\textbf{ } & \\\\\n", @@ -10849,8 +10855,8 @@ "Dep. Variable: price_log R-squared: 1.000\n", "Model: OLS Adj. R-squared: 1.000\n", "Method: Least Squares F-statistic: 1.115e+30\n", - "Date: Fri, 26 Apr 2024 Prob (F-statistic): 0.00\n", - "Time: 15:02:53 Log-Likelihood: 6.1762e+05\n", + "Date: Sat, 27 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 09:59:44 Log-Likelihood: 6.1762e+05\n", "No. Observations: 20978 AIC: -1.235e+06\n", "Df Residuals: 20965 BIC: -1.235e+06\n", "Df Model: 12 \n", @@ -10885,7 +10891,7 @@ "\"\"\"" ] }, - "execution_count": 1532, + "execution_count": 966, "metadata": {}, "output_type": "execute_result" } @@ -10907,7 +10913,7 @@ }, { "cell_type": "code", - "execution_count": 1533, + "execution_count": 967, "metadata": {}, "outputs": [], "source": [ @@ -10916,7 +10922,7 @@ }, { "cell_type": "code", - "execution_count": 1534, + "execution_count": 968, "metadata": {}, "outputs": [ { @@ -10938,7 +10944,7 @@ }, { "cell_type": "code", - "execution_count": 1535, + "execution_count": 969, "metadata": {}, "outputs": [ { @@ -10951,16 +10957,16 @@ } ], "source": [ - "print(f\"X2_train is a DataFrame with {X2_train_final.shape[0]} rows and {X2_train_final.shape[1]} columns\")\n", + "print(f\"X2_train is a DataFrame with {X2_train.shape[0]} rows and {X2_train.shape[1]} columns\")\n", "print(f\"y2_train is a Series with {y2_train.shape[0]} values\")\n", "\n", - "\n", - "# Always should have the same number of rows in X as values in y\n" + "# We always should have the same number of rows in X as values in y\n", + "assert X2_train.shape[0] == y2_train.shape[0]" ] }, { "cell_type": "code", - "execution_count": 1536, + "execution_count": 970, "metadata": {}, "outputs": [], "source": [ @@ -10970,7 +10976,7 @@ }, { "cell_type": "code", - "execution_count": 1537, + "execution_count": 971, "metadata": {}, "outputs": [ { @@ -10979,7 +10985,7 @@ "1.0" ] }, - "execution_count": 1537, + "execution_count": 971, "metadata": {}, "output_type": "execute_result" } @@ -11004,7 +11010,7 @@ }, { "cell_type": "code", - "execution_count": 1538, + "execution_count": 972, "metadata": {}, "outputs": [ { @@ -11013,7 +11019,7 @@ "array([1., 1., 1.])" ] }, - "execution_count": 1538, + "execution_count": 972, "metadata": {}, "output_type": "execute_result" } @@ -11032,7 +11038,7 @@ }, { "cell_type": "code", - "execution_count": 1539, + "execution_count": 973, "metadata": {}, "outputs": [ { @@ -11041,7 +11047,7 @@ "2.653101429710136e-15" ] }, - "execution_count": 1539, + "execution_count": 973, "metadata": {}, "output_type": "execute_result" } @@ -11052,6 +11058,47 @@ "\n", "mean_squared_error(y2_test, final_model.predict(X2_test_final), squared=False)" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### This suggests that the algorithm's estimate for an average house would typically deviate by approximately $104,012." + ] + }, + { + "cell_type": "code", + "execution_count": 974, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "sqft_living_log 1.209489e-15\n", + "sqft_lot_log -9.020562e-17\n", + "price_log 1.000000e+00\n", + "bedrooms -3.890117e-16\n", + "bathrooms -6.336077e-16\n", + "floors 2.484991e-16\n", + "waterfront 1.839891e-16\n", + "grade -9.480264e-16\n", + "yr_built -4.163336e-17\n", + "3 1.385610e-16\n", + "4 -2.561157e-16\n", + "5 3.897910e-16\n", + "Name: Coefficients, dtype: float64\n", + "\n", + "Intercept: 9.145722373871124e-14\n" + ] + } + ], + "source": [ + "# Interpret the Final Model\n", + "print(pd.Series(final_model.coef_, index=X2_train_final.columns, name=\"Coefficients\"))\n", + "print()\n", + "print(\"Intercept:\", final_model.intercept_)" + ] } ], "metadata": { From 0b30245b90b5b054cbb30259fe9d9ac6a4b211f4 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Sat, 27 Apr 2024 11:03:27 +0300 Subject: [PATCH 94/98] Update student.ipynb --- student.ipynb | 33 +++++++++++++++++++++++++-------- 1 file changed, 25 insertions(+), 8 deletions(-) diff --git a/student.ipynb b/student.ipynb index d3bb34af..f235f1ac 100644 --- a/student.ipynb +++ b/student.ipynb @@ -7,20 +7,37 @@ "## Final Project Submission\n", "\n", "Please fill out:\n", - "* Student name: \n", - "* Student pace: self paced / part time / full time\n", + "* Students: Solphine Joseph, Mathew Kiprotich, Grace Rotich, Hilary Simiyu, Clyde Ochieng. \n", + "* Student pace: full time.\n", "* Scheduled project review date/time: \n", - "* Instructor name: \n", - "* Blog post URL:\n" + "* Instructor name: Nikita.\n", + "* Blog post URL: N/A.\n" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Overview\n", + "A real estate agency in Kingsway seeks to determine what are the contributing factors that affect the price of houses to make improvements where necessary. They want to employ an analytical approach rather than sentimental before arriving at a decision. Multilinear regression has been used for this project to understand how various features affect their pricing to better their services." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Business Problem \n", + "The real estate agency is currently navigating through a period of pricing instability and increased competition in the market. This situation is making it challenging for agents to develop effective business strategies. The agency is seeking strategic guidance to optimize its purchasing and selling activities, with a focus on making informed decisions to identify areas that offer the highest returns on investment." + ] + }, + { + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "# Your code here - remember to use markdown cells for comments as well!" + "### Objectives\n", + "* To determine the key factors influencing house prices.\n", + "* To develop a multilinear regression model to predict house prices based on relevant features\n", + "* To use insights from the regression analysis to optimize pricing strategies for both purchasing and selling properties." ] } ], From be9a28cf8db1282aef11f2eddf4318ba937fea8f Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Sat, 27 Apr 2024 11:03:33 +0300 Subject: [PATCH 95/98] Update README.md --- README.md | 293 ++---------------------------------------------------- 1 file changed, 8 insertions(+), 285 deletions(-) diff --git a/README.md b/README.md index 5dd0f84d..5abbb4a7 100644 --- a/README.md +++ b/README.md @@ -1,285 +1,8 @@ -# Phase 2 Project Description - -Another module down - you're almost half way there! - -![awesome](https://raw.githubusercontent.com/learn-co-curriculum/dsc-phase-2-project-v2-3/main/halfway-there.gif) - -All that remains in Phase 2 is to put your newfound data science skills to use with a large project! - -In this project description, we will cover: - -* Project Overview: the project goal, audience, and dataset -* Deliverables: the specific items you are required to produce for this project -* Grading: how your project will be scored -* Getting Started: guidance for how to begin working - -## Project Overview - -For this project, you will use multiple linear regression modeling to analyze house sales in a northwestern county. - -### Business Problem - -It is up to you to define a stakeholder and business problem appropriate to this dataset. - -If you are struggling to define a stakeholder, we recommend you complete a project for a real estate agency that helps homeowners buy and/or sell homes. A business problem you could focus on for this stakeholder is the need to provide advice to homeowners about how home renovations might increase the estimated value of their homes, and by what amount. - -### The Data - -This project uses the King County House Sales dataset, which can be found in `kc_house_data.csv` in the data folder in this assignment's GitHub repository. The description of the column names can be found in `column_names.md` in the same folder. As with most real world data sets, the column names are not perfectly described, so you'll have to do some research or use your best judgment if you have questions about what the data means. - -It is up to you to decide what data from this dataset to use and how to use it. If you are feeling overwhelmed or behind, we recommend you **ignore** some or all of the following features: - -* `date` -* `view` -* `sqft_above` -* `sqft_basement` -* `yr_renovated` -* `zipcode` -* `lat` -* `long` -* `sqft_living15` -* `sqft_lot15` - -### Key Points - -* **Your goal in regression modeling is to yield findings to support relevant recommendations. Those findings should include a metric describing overall model performance as well as at least two regression model coefficients.** As you explore the data and refine your stakeholder and business problem definitions, make sure you are also thinking about how a linear regression model adds value to your analysis. "The assignment was to use linear regression" is not an acceptable answer! You can also use additional statistical techniques other than linear regression, so long as you clearly explain why you are using each technique. - -* **You should demonstrate an iterative approach to modeling.** This means that you must build multiple models. Begin with a basic model, evaluate it, and then provide justification for and proceed to a new model. After you finish refining your models, you should provide 1-3 paragraphs in the notebook discussing your final model. - -* **Data visualization and analysis are no longer explicit project requirements, but they are still very important.** In Phase 1, your project stopped earlier in the CRISP-DM process. Now you are going a step further, to modeling. Data visualization and analysis will help you build better models and tell a better story to your stakeholders. - -## Deliverables - -There are three deliverables for this project: - -* A **non-technical presentation** -* A **Jupyter Notebook** -* A **GitHub repository** - -The deliverables requirements are almost the same as in the Phase 1 Project, and you can review those extended descriptions [here](https://github.com/learn-co-curriculum/dsc-phase-1-project-v2-3#deliverables). In general, everything is the same except the "Data Visualization" and "Data Analysis" requirements have been replaced by "Modeling" and "Regression Results" requirements. - -### Non-Technical Presentation - -Recall that the non-technical presentation is a slide deck presenting your analysis to ***business stakeholders***, and should be presented live as well as submitted in PDF form on Canvas. - -We recommend that you follow this structure, although the slide titles should be specific to your project: - -1. Beginning - - Overview - - Business and Data Understanding -2. Middle - - **Modeling** - - **Regression Results** -3. End - - Recommendations - - Next Steps - - Thank you - -Make sure that your discussion of modeling and regression results is geared towards a non-technical audience! Assume that their prior knowledge of regression modeling is minimal. You don't need to explain how linear regression works, but you should explain why linear regression is useful for the problem context. Make sure you translate any metrics or coefficients into their plain language implications. - -The graded elements for the non-technical presentation are the same as in [Phase 1](https://github.com/learn-co-curriculum/dsc-phase-1-project-v2-3#deliverables). - -### Jupyter Notebook - -Recall that the Jupyter Notebook is a notebook that uses Python and Markdown to present your analysis to a ***data science audience***. You will submit the notebook in PDF format on Canvas as well as in `.ipynb` format in your GitHub repository. - -The graded elements for the Jupyter Notebook are: - -* Business Understanding -* Data Understanding -* Data Preparation -* **Modeling** -* **Regression Results** -* Code Quality - -### GitHub Repository - -Recall that the GitHub repository is the cloud-hosted directory containing all of your project files as well as their version history. - -The requirements are the same as in [Phase 1](https://github.com/learn-co-curriculum/dsc-phase-1-project-v2-3#github-repository), except for the required sections in the `README.md`. - -For this project, the `README.md` file should contain: - -* Overview -* Business and Data Understanding - * Explain your stakeholder audience here -* **Modeling** -* **Regression Results** -* Conclusion - -Just like in Phase 1, the `README.md` file should be the bridge between your non technical presentation and the Jupyter Notebook. It should not contain the code used to develop your analysis, but should provide a more in-depth explanation of your methodology and analysis than what is described in your presentation slides. - -## Grading - -***To pass this project, you must pass each project rubric objective.*** The project rubric objectives for Phase 2 are: - -1. Attention to Detail -2. Statistical Communication -3. Data Preparation Fundamentals -4. Linear Modeling - -### Attention to Detail - -Just like in Phase 1, this rubric objective is based on your completion of checklist items. ***In Phase 2, you need to complete 70% (7 out of 10) or more of the checklist elements in order to pass the Attention to Detail objective.*** - -**NOTE THAT THE PASSING BAR IS HIGHER IN PHASE 2 THAN IT WAS IN PHASE 1!** - -The standard will increase with each Phase, until you will be required to complete all elements to pass Phase 5 (Capstone). - -#### Exceeds Objective - -80% or more of the project checklist items are complete - -#### Meets Objective (Passing Bar) - -70% of the project checklist items are complete - -#### Approaching Objective - -60% of the project checklist items are complete - -#### Does Not Meet Objective - -50% or fewer of the project checklist items are complete - -### Statistical Communication - -Recall that communication is one of the key data science "soft skills". In Phase 2, we are specifically focused on Statistical Communication. We define Statistical Communication as: - -> Communicating **results of statistical analyses** to diverse audiences via writing and live presentation - -Note that this is the same as in Phase 1, except we are replacing "basic data analysis" with "statistical analyses". - -High-quality Statistical Communication includes rationale, results, limitations, and recommendations: - -* **Rationale:** Explaining why you are using statistical analyses rather than basic data analysis - * For example, why are you using regression coefficients rather than just a graph? - * What about the problem or data is suitable for this form of analysis? - * For a data science audience, this includes your reasoning for the changes you applied while iterating between models. -* **Results:** Describing the overall model metrics and feature coefficients - * You need at least one overall model metric (e.g. r-squared or RMSE) and at least two feature coefficients. - * For a business audience, make sure you connect any metrics to real-world implications. You do not need to get into the details of how linear regression works. - * For a data science audience, you don't need to explain what a metric is, but make sure you explain why you chose that particular one. -* **Limitations:** Identifying the limitations and/or uncertainty present in your analysis - * This could include p-values/alpha values, confidence intervals, assumptions of linear regression, missing data, etc. - * In general, this should be more in-depth for a data science audience and more surface-level for a business audience. -* **Recommendations:** Interpreting the model results and limitations in the context of the business problem - * What should stakeholders _do_ with this information? - -#### Exceeds Objective - -Communicates the rationale, results, limitations, and specific recommendations of statistical analyses - -> See above for extended explanations of these terms. - -#### Meets Objective (Passing Bar) - -Successfully communicates the results of statistical analyses without any major errors - -> The minimum requirement is to communicate the _results_, meaning at least one overall model metric (e.g. r-squared or RMSE) as well as at least two feature coefficients. See the Approaching Objective section for an explanation of what a "major error" means. - -#### Approaching Objective - -Communicates the results of statistical analyses with at least one major error - -> A major error means that some aspect of your explanation is fundamentally incorrect. For example, if a feature coefficient is negative and you say that an increase in that feature results in an increase of the target, that would be a major error. Another example would be if you say that the feature with the highest coefficient is the "most statistically significant" while ignoring the p-value. One more example would be reporting a coefficient that is not statistically significant, rather than saying "no statistically significant linear relationship was found" - -> "**If a coefficient's t-statistic is not significant, don't interpret it at all.** You can't be sure that the value of the corresponding parameter in the underlying regression model isn't really zero." _DeVeaux, Velleman, and Bock (2012), Stats: Data and Models, 3rd edition, pg. 801_. Check out [this website](https://web.ma.utexas.edu/users/mks/statmistakes/TOC.html) for extensive additional examples of mistakes using statistics. - -> The easiest way to avoid making a major error is to have someone double-check your work. Reach out to peers on Slack and ask them to confirm whether your interpretation makes sense! - -#### Does Not Meet Objective - -Does not communicate the results of statistical analyses - -> It is not sufficient to just display the entire results summary. You need to pull out at least one overall model metric (e.g. r-squared, RMSE) and at least two feature coefficients, and explain what those numbers mean. - -### Data Preparation Fundamentals - -We define this objective as: - -> Applying appropriate **preprocessing** and feature engineering steps to tabular data in preparation for statistical modeling - -The two most important components of preprocessing for the Phase 2 project are: - -* **Handling Missing Values:** Missing values may be present in the features you want to use, either encoded as `NaN` or as some other value such as `"?"`. Before you can build a linear regression model, make sure you identify and address any missing values using techniques such as dropping or replacing data. -* **Handling Non-Numeric Data:** A linear regression model needs all of the features to be numeric, not categorical. For this project, ***be sure to pick at least one non-numeric feature and try including it in a model.*** You can identify that a feature is currently non-numeric if the type is `object` when you run `.info()` on your dataframe. Once you have identified the non-numeric features, address them using techniques such as ordinal or one-hot (dummy) encoding. - -There is no single correct way to handle either of these situations! Use your best judgement to decide what to do, and be sure to explain your rationale in the Markdown of your notebook. - -Feature engineering is encouraged but not required for this project. - -#### Exceeds Objective - -Goes above and beyond with data preparation, such as feature engineering or merging in outside datasets - -> One example of feature engineering could be using the `date` feature to create a new feature called `season`, which represents whether the home was sold in Spring, Summer, Fall, or Winter. - -> One example of merging in outside datasets could be finding data based on ZIP Code, such as household income or walkability, and joining that data with the provided CSV. - -#### Meets Objective (Passing Bar) - -Successfully prepares data for modeling, including converting at least one non-numeric feature into ordinal or binary data and handling missing data as needed - -> As a reminder, you can identify the non-numeric features by calling `.info()` on the dataframe and looking for type `object`. - -> Your final model does not necessarily need to include any features that were originally non-numeric, but you need to demonstrate your ability to handle this type of data. - -#### Approaching Objective - -Prepares some data successfully, but is unable to utilize non-numeric data - -> If you simply subset the dataframe to only columns with type `int64` or `float64`, your model will run, but you will not pass this objective. - -#### Does Not Meet Objective - -Does not prepare data for modeling - -### Linear Modeling - -According to [Kaggle's 2020 State of Data Science and Machine Learning Survey](https://www.kaggle.com/kaggle-survey-2020), linear and logistic regression are the most popular machine learning algorithms, used by 83.7% of data scientists. They are small, fast models compared to some of the models you will learn later, but have limitations in the kinds of relationships they are able to learn. - -In this project you are required to use linear regression as the primary statistical analysis, although you are free to use additional statistical techniques as appropriate. - -#### Exceeds Objective - -Goes above and beyond in the modeling process, such as recursive feature selection - -#### Meets Objective (Passing Bar) - -Successfully builds a baseline model as well as at least one iterated model, and correctly extracts insights from a final model without any major errors - -> We are looking for you to (1) create a baseline model, (2) iterate on that model, making adjustments that are supported by regression theory or by descriptive analysis of the data, and (3) select a final model and report on its metrics and coefficients - -> Ideally you would include written justifications for each model iteration, but at minimum the iterations must be _justifiable_ - -> For an explanation of "major errors", see the description below - -#### Approaching Objective - -Builds multiple models with at least one major error - -> The number one major error to avoid is including the target as one of your features. For example, if the target is `price` you should NOT make a "price per square foot" feature, because that feature would not be available if you didn't already know the price. - -> Other examples of major errors include: using a target other than `price`, attempting only simple linear regression (not multiple linear regression), dropping multiple one-hot encoded columns without explaining the resulting baseline, or using a unique identifier (`id` in this dataset) as a feature. - -#### Does Not Meet Objective - -Does not build multiple linear regression models - -## Getting Started - -Please start by reviewing the contents of this project description. If you have any questions, please ask your instructor ASAP. - -Next, you will need to complete the [***Project Proposal***](#project_proposal) which must be reviewed by your instructor before you can continue with the project. - -Here are some suggestions for creating your GitHub repository: - -1. Fork the [Phase 2 Project Repository](https://github.com/learn-co-curriculum/dsc-phase-2-project-v2-3), clone it locally, and work in the `student.ipynb` file. Make sure to also add and commit a PDF of your presentation to your repository with a file name of `presentation.pdf`. -2. Or, create a new repository from scratch by going to [github.com/new](https://github.com/new) and copying the data files from the Phase 2 Project Repository into your new repository. - - Recall that you can refer to the [Phase 1 Project Template](https://github.com/learn-co-curriculum/dsc-project-template) as an example structure - - This option will result in the most professional-looking portfolio repository, but can be more complicated to use. So if you are getting stuck with this option, try forking the project repository instead - -## Summary - -This is your first modeling project! Take what you have learned in Phase 2 to create a project with a more sophisticated analysis than you completed in Phase 1. You will build on these skills as we move into the predictive machine learning mindset in Phase 3. You've got this! +### Overview +A real estate agency in Kingsway seeks to determine what are the contributing factors that affect the price of houses to make improvements where necessary. They want to employ an analytical approach rather than sentimental before arriving at a decision. Multilinear regression has been used for this project to understand how various features affect their pricing to better their services. +### Business Problem +The real estate agency is currently navigating through a period of pricing instability and increased competition in the market. This situation is making it challenging for agents to develop effective business strategies. The agency is seeking strategic guidance to optimize its purchasing and selling activities, with a focus on making informed decisions to identify areas that offer the highest returns on investment. +### Objectives +* To determine the key factors influencing house prices. +* To develop a multilinear regression model to predict house prices based on relevant features +* To use insights from the regression analysis to optimize pricing strategies for both purchasing and selling properties. \ No newline at end of file From dcc4a395269a71fbbfcd2e6a4ecc1161b9f7982b Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Sat, 27 Apr 2024 11:23:51 +0300 Subject: [PATCH 96/98] Update student.ipynb --- student.ipynb | 42 +++++++++++++++++++++++++++++++++++------- 1 file changed, 35 insertions(+), 7 deletions(-) diff --git a/student.ipynb b/student.ipynb index d3bb34af..86b33a2e 100644 --- a/student.ipynb +++ b/student.ipynb @@ -7,20 +7,48 @@ "## Final Project Submission\n", "\n", "Please fill out:\n", - "* Student name: \n", - "* Student pace: self paced / part time / full time\n", + "* Student name: Solphine Joseph, Grace Rotich, Mather Rotich, Hilary Simiyu, Clyde Ochieng.\n", + "* Student pace: full time\n", "* Scheduled project review date/time: \n", - "* Instructor name: \n", + "* Instructor name: Nikita \n", "* Blog post URL:\n" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Kings County Housing Analysis with Multiple Linear Regression" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Overview\n", + "\n", + "\n", + "A real estate agency in Kingsway seeks to determine what are the contributing factors that affect the price of houses to make improvements where necessary. They want to employ an analytical approach rather than sentimental before arriving at a decision. Multilinear regression has been used for this project to understand how various features affect their pricing to better their services." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Business Problem\n", + "\n", + "\n", + "In the face of market fluctuations and heightened competition within the real estate sector, our agency is grappling with pricing volatility, which poses significant challenges for our agents in devising effective business strategies. We seek strategic guidance to optimize our purchasing and selling endeavors, prioritizing informed decision-making to identify key areas of focus that promise maximum returns on investment." + ] + }, + { + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "# Your code here - remember to use markdown cells for comments as well!" + "### Objectives\n", + "* To determine the key factors influencing house prices.\n", + "* To develop multilinear regression models to predict house prices based on relevant features.\n", + "* To use insights from the regression analysis to optimize pricing strategies for both purchasing and selling properties.\n" ] } ], From 76b3544808e1d04917a07009932a382439aaca2f Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Sat, 27 Apr 2024 11:23:56 +0300 Subject: [PATCH 97/98] Update README.md --- README.md | 283 ------------------------------------------------------ 1 file changed, 283 deletions(-) diff --git a/README.md b/README.md index 5dd0f84d..0ccd18f1 100644 --- a/README.md +++ b/README.md @@ -1,285 +1,2 @@ # Phase 2 Project Description -Another module down - you're almost half way there! - -![awesome](https://raw.githubusercontent.com/learn-co-curriculum/dsc-phase-2-project-v2-3/main/halfway-there.gif) - -All that remains in Phase 2 is to put your newfound data science skills to use with a large project! - -In this project description, we will cover: - -* Project Overview: the project goal, audience, and dataset -* Deliverables: the specific items you are required to produce for this project -* Grading: how your project will be scored -* Getting Started: guidance for how to begin working - -## Project Overview - -For this project, you will use multiple linear regression modeling to analyze house sales in a northwestern county. - -### Business Problem - -It is up to you to define a stakeholder and business problem appropriate to this dataset. - -If you are struggling to define a stakeholder, we recommend you complete a project for a real estate agency that helps homeowners buy and/or sell homes. A business problem you could focus on for this stakeholder is the need to provide advice to homeowners about how home renovations might increase the estimated value of their homes, and by what amount. - -### The Data - -This project uses the King County House Sales dataset, which can be found in `kc_house_data.csv` in the data folder in this assignment's GitHub repository. The description of the column names can be found in `column_names.md` in the same folder. As with most real world data sets, the column names are not perfectly described, so you'll have to do some research or use your best judgment if you have questions about what the data means. - -It is up to you to decide what data from this dataset to use and how to use it. If you are feeling overwhelmed or behind, we recommend you **ignore** some or all of the following features: - -* `date` -* `view` -* `sqft_above` -* `sqft_basement` -* `yr_renovated` -* `zipcode` -* `lat` -* `long` -* `sqft_living15` -* `sqft_lot15` - -### Key Points - -* **Your goal in regression modeling is to yield findings to support relevant recommendations. Those findings should include a metric describing overall model performance as well as at least two regression model coefficients.** As you explore the data and refine your stakeholder and business problem definitions, make sure you are also thinking about how a linear regression model adds value to your analysis. "The assignment was to use linear regression" is not an acceptable answer! You can also use additional statistical techniques other than linear regression, so long as you clearly explain why you are using each technique. - -* **You should demonstrate an iterative approach to modeling.** This means that you must build multiple models. Begin with a basic model, evaluate it, and then provide justification for and proceed to a new model. After you finish refining your models, you should provide 1-3 paragraphs in the notebook discussing your final model. - -* **Data visualization and analysis are no longer explicit project requirements, but they are still very important.** In Phase 1, your project stopped earlier in the CRISP-DM process. Now you are going a step further, to modeling. Data visualization and analysis will help you build better models and tell a better story to your stakeholders. - -## Deliverables - -There are three deliverables for this project: - -* A **non-technical presentation** -* A **Jupyter Notebook** -* A **GitHub repository** - -The deliverables requirements are almost the same as in the Phase 1 Project, and you can review those extended descriptions [here](https://github.com/learn-co-curriculum/dsc-phase-1-project-v2-3#deliverables). In general, everything is the same except the "Data Visualization" and "Data Analysis" requirements have been replaced by "Modeling" and "Regression Results" requirements. - -### Non-Technical Presentation - -Recall that the non-technical presentation is a slide deck presenting your analysis to ***business stakeholders***, and should be presented live as well as submitted in PDF form on Canvas. - -We recommend that you follow this structure, although the slide titles should be specific to your project: - -1. Beginning - - Overview - - Business and Data Understanding -2. Middle - - **Modeling** - - **Regression Results** -3. End - - Recommendations - - Next Steps - - Thank you - -Make sure that your discussion of modeling and regression results is geared towards a non-technical audience! Assume that their prior knowledge of regression modeling is minimal. You don't need to explain how linear regression works, but you should explain why linear regression is useful for the problem context. Make sure you translate any metrics or coefficients into their plain language implications. - -The graded elements for the non-technical presentation are the same as in [Phase 1](https://github.com/learn-co-curriculum/dsc-phase-1-project-v2-3#deliverables). - -### Jupyter Notebook - -Recall that the Jupyter Notebook is a notebook that uses Python and Markdown to present your analysis to a ***data science audience***. You will submit the notebook in PDF format on Canvas as well as in `.ipynb` format in your GitHub repository. - -The graded elements for the Jupyter Notebook are: - -* Business Understanding -* Data Understanding -* Data Preparation -* **Modeling** -* **Regression Results** -* Code Quality - -### GitHub Repository - -Recall that the GitHub repository is the cloud-hosted directory containing all of your project files as well as their version history. - -The requirements are the same as in [Phase 1](https://github.com/learn-co-curriculum/dsc-phase-1-project-v2-3#github-repository), except for the required sections in the `README.md`. - -For this project, the `README.md` file should contain: - -* Overview -* Business and Data Understanding - * Explain your stakeholder audience here -* **Modeling** -* **Regression Results** -* Conclusion - -Just like in Phase 1, the `README.md` file should be the bridge between your non technical presentation and the Jupyter Notebook. It should not contain the code used to develop your analysis, but should provide a more in-depth explanation of your methodology and analysis than what is described in your presentation slides. - -## Grading - -***To pass this project, you must pass each project rubric objective.*** The project rubric objectives for Phase 2 are: - -1. Attention to Detail -2. Statistical Communication -3. Data Preparation Fundamentals -4. Linear Modeling - -### Attention to Detail - -Just like in Phase 1, this rubric objective is based on your completion of checklist items. ***In Phase 2, you need to complete 70% (7 out of 10) or more of the checklist elements in order to pass the Attention to Detail objective.*** - -**NOTE THAT THE PASSING BAR IS HIGHER IN PHASE 2 THAN IT WAS IN PHASE 1!** - -The standard will increase with each Phase, until you will be required to complete all elements to pass Phase 5 (Capstone). - -#### Exceeds Objective - -80% or more of the project checklist items are complete - -#### Meets Objective (Passing Bar) - -70% of the project checklist items are complete - -#### Approaching Objective - -60% of the project checklist items are complete - -#### Does Not Meet Objective - -50% or fewer of the project checklist items are complete - -### Statistical Communication - -Recall that communication is one of the key data science "soft skills". In Phase 2, we are specifically focused on Statistical Communication. We define Statistical Communication as: - -> Communicating **results of statistical analyses** to diverse audiences via writing and live presentation - -Note that this is the same as in Phase 1, except we are replacing "basic data analysis" with "statistical analyses". - -High-quality Statistical Communication includes rationale, results, limitations, and recommendations: - -* **Rationale:** Explaining why you are using statistical analyses rather than basic data analysis - * For example, why are you using regression coefficients rather than just a graph? - * What about the problem or data is suitable for this form of analysis? - * For a data science audience, this includes your reasoning for the changes you applied while iterating between models. -* **Results:** Describing the overall model metrics and feature coefficients - * You need at least one overall model metric (e.g. r-squared or RMSE) and at least two feature coefficients. - * For a business audience, make sure you connect any metrics to real-world implications. You do not need to get into the details of how linear regression works. - * For a data science audience, you don't need to explain what a metric is, but make sure you explain why you chose that particular one. -* **Limitations:** Identifying the limitations and/or uncertainty present in your analysis - * This could include p-values/alpha values, confidence intervals, assumptions of linear regression, missing data, etc. - * In general, this should be more in-depth for a data science audience and more surface-level for a business audience. -* **Recommendations:** Interpreting the model results and limitations in the context of the business problem - * What should stakeholders _do_ with this information? - -#### Exceeds Objective - -Communicates the rationale, results, limitations, and specific recommendations of statistical analyses - -> See above for extended explanations of these terms. - -#### Meets Objective (Passing Bar) - -Successfully communicates the results of statistical analyses without any major errors - -> The minimum requirement is to communicate the _results_, meaning at least one overall model metric (e.g. r-squared or RMSE) as well as at least two feature coefficients. See the Approaching Objective section for an explanation of what a "major error" means. - -#### Approaching Objective - -Communicates the results of statistical analyses with at least one major error - -> A major error means that some aspect of your explanation is fundamentally incorrect. For example, if a feature coefficient is negative and you say that an increase in that feature results in an increase of the target, that would be a major error. Another example would be if you say that the feature with the highest coefficient is the "most statistically significant" while ignoring the p-value. One more example would be reporting a coefficient that is not statistically significant, rather than saying "no statistically significant linear relationship was found" - -> "**If a coefficient's t-statistic is not significant, don't interpret it at all.** You can't be sure that the value of the corresponding parameter in the underlying regression model isn't really zero." _DeVeaux, Velleman, and Bock (2012), Stats: Data and Models, 3rd edition, pg. 801_. Check out [this website](https://web.ma.utexas.edu/users/mks/statmistakes/TOC.html) for extensive additional examples of mistakes using statistics. - -> The easiest way to avoid making a major error is to have someone double-check your work. Reach out to peers on Slack and ask them to confirm whether your interpretation makes sense! - -#### Does Not Meet Objective - -Does not communicate the results of statistical analyses - -> It is not sufficient to just display the entire results summary. You need to pull out at least one overall model metric (e.g. r-squared, RMSE) and at least two feature coefficients, and explain what those numbers mean. - -### Data Preparation Fundamentals - -We define this objective as: - -> Applying appropriate **preprocessing** and feature engineering steps to tabular data in preparation for statistical modeling - -The two most important components of preprocessing for the Phase 2 project are: - -* **Handling Missing Values:** Missing values may be present in the features you want to use, either encoded as `NaN` or as some other value such as `"?"`. Before you can build a linear regression model, make sure you identify and address any missing values using techniques such as dropping or replacing data. -* **Handling Non-Numeric Data:** A linear regression model needs all of the features to be numeric, not categorical. For this project, ***be sure to pick at least one non-numeric feature and try including it in a model.*** You can identify that a feature is currently non-numeric if the type is `object` when you run `.info()` on your dataframe. Once you have identified the non-numeric features, address them using techniques such as ordinal or one-hot (dummy) encoding. - -There is no single correct way to handle either of these situations! Use your best judgement to decide what to do, and be sure to explain your rationale in the Markdown of your notebook. - -Feature engineering is encouraged but not required for this project. - -#### Exceeds Objective - -Goes above and beyond with data preparation, such as feature engineering or merging in outside datasets - -> One example of feature engineering could be using the `date` feature to create a new feature called `season`, which represents whether the home was sold in Spring, Summer, Fall, or Winter. - -> One example of merging in outside datasets could be finding data based on ZIP Code, such as household income or walkability, and joining that data with the provided CSV. - -#### Meets Objective (Passing Bar) - -Successfully prepares data for modeling, including converting at least one non-numeric feature into ordinal or binary data and handling missing data as needed - -> As a reminder, you can identify the non-numeric features by calling `.info()` on the dataframe and looking for type `object`. - -> Your final model does not necessarily need to include any features that were originally non-numeric, but you need to demonstrate your ability to handle this type of data. - -#### Approaching Objective - -Prepares some data successfully, but is unable to utilize non-numeric data - -> If you simply subset the dataframe to only columns with type `int64` or `float64`, your model will run, but you will not pass this objective. - -#### Does Not Meet Objective - -Does not prepare data for modeling - -### Linear Modeling - -According to [Kaggle's 2020 State of Data Science and Machine Learning Survey](https://www.kaggle.com/kaggle-survey-2020), linear and logistic regression are the most popular machine learning algorithms, used by 83.7% of data scientists. They are small, fast models compared to some of the models you will learn later, but have limitations in the kinds of relationships they are able to learn. - -In this project you are required to use linear regression as the primary statistical analysis, although you are free to use additional statistical techniques as appropriate. - -#### Exceeds Objective - -Goes above and beyond in the modeling process, such as recursive feature selection - -#### Meets Objective (Passing Bar) - -Successfully builds a baseline model as well as at least one iterated model, and correctly extracts insights from a final model without any major errors - -> We are looking for you to (1) create a baseline model, (2) iterate on that model, making adjustments that are supported by regression theory or by descriptive analysis of the data, and (3) select a final model and report on its metrics and coefficients - -> Ideally you would include written justifications for each model iteration, but at minimum the iterations must be _justifiable_ - -> For an explanation of "major errors", see the description below - -#### Approaching Objective - -Builds multiple models with at least one major error - -> The number one major error to avoid is including the target as one of your features. For example, if the target is `price` you should NOT make a "price per square foot" feature, because that feature would not be available if you didn't already know the price. - -> Other examples of major errors include: using a target other than `price`, attempting only simple linear regression (not multiple linear regression), dropping multiple one-hot encoded columns without explaining the resulting baseline, or using a unique identifier (`id` in this dataset) as a feature. - -#### Does Not Meet Objective - -Does not build multiple linear regression models - -## Getting Started - -Please start by reviewing the contents of this project description. If you have any questions, please ask your instructor ASAP. - -Next, you will need to complete the [***Project Proposal***](#project_proposal) which must be reviewed by your instructor before you can continue with the project. - -Here are some suggestions for creating your GitHub repository: - -1. Fork the [Phase 2 Project Repository](https://github.com/learn-co-curriculum/dsc-phase-2-project-v2-3), clone it locally, and work in the `student.ipynb` file. Make sure to also add and commit a PDF of your presentation to your repository with a file name of `presentation.pdf`. -2. Or, create a new repository from scratch by going to [github.com/new](https://github.com/new) and copying the data files from the Phase 2 Project Repository into your new repository. - - Recall that you can refer to the [Phase 1 Project Template](https://github.com/learn-co-curriculum/dsc-project-template) as an example structure - - This option will result in the most professional-looking portfolio repository, but can be more complicated to use. So if you are getting stuck with this option, try forking the project repository instead - -## Summary - -This is your first modeling project! Take what you have learned in Phase 2 to create a project with a more sophisticated analysis than you completed in Phase 1. You will build on these skills as we move into the predictive machine learning mindset in Phase 3. You've got this! From 35179293f2d27140762a11b5b61e18aed67c31a7 Mon Sep 17 00:00:00 2001 From: HSimiyu Date: Sat, 27 Apr 2024 12:40:05 +0000 Subject: [PATCH 98/98] edit readme --- LICENSE.md | 7 ------- README.md | 3 +++ condition_histogram.png | Bin 46731 -> 0 bytes condition_price_scatter.png | Bin 52893 -> 0 bytes correlation_heatmap.png | Bin 99233 -> 0 bytes grade.png | Bin 81085 -> 0 bytes grade_histogram.png | Bin 35314 -> 0 bytes halfway-there.gif | Bin 2930391 -> 0 bytes heatmap_with_figures.png | Bin 103243 -> 0 bytes histogram.png | Bin 41110 -> 0 bytes house_price_distribution.png | Bin 40174 -> 0 bytes jointplot.png | Bin 47386 -> 0 bytes sale_price_by_condition.png | Bin 70506 -> 0 bytes scatter_plot.png | Bin 53074 -> 0 bytes scatter_plot_matrix.png | Bin 64179 -> 0 bytes scatterplot.png | Bin 135334 -> 0 bytes variable_distribution.png | Bin 123722 -> 0 bytes 17 files changed, 3 insertions(+), 7 deletions(-) delete mode 100644 LICENSE.md delete mode 100644 condition_histogram.png delete mode 100644 condition_price_scatter.png delete mode 100644 correlation_heatmap.png delete mode 100644 grade.png delete mode 100644 grade_histogram.png delete mode 100644 halfway-there.gif delete mode 100644 heatmap_with_figures.png delete mode 100644 histogram.png delete mode 100644 house_price_distribution.png delete mode 100644 jointplot.png delete mode 100644 sale_price_by_condition.png delete mode 100644 scatter_plot.png delete mode 100644 scatter_plot_matrix.png delete mode 100644 scatterplot.png delete mode 100644 variable_distribution.png diff --git a/LICENSE.md b/LICENSE.md deleted file mode 100644 index 8c4ad9a7..00000000 --- a/LICENSE.md +++ /dev/null @@ -1,7 +0,0 @@ -#Learn.co Educational Content License - -Copyright (c) 2015 Flatiron School, Inc - -The Flatiron School, Inc. owns this Educational Content. However, the Flatiron School supports the development and availability of educational materials in the public domain. Therefore, the Flatiron School grants Users of the Flatiron Educational Content set forth in this repository certain rights to reuse, build upon and share such Educational Content subject to the terms of the Educational Content License set forth [here](http://learn.co/content-license) (http://learn.co/content-license). You must read carefully the terms and conditions contained in the Educational Content License as such terms govern access to and use of the Educational Content. - -Flatiron School is willing to allow you access to and use of the Educational Content only on the condition that you accept all of the terms and conditions contained in the Educational Content License set forth [here](http://learn.co/content-license) (http://learn.co/content-license). By accessing and/or using the Educational Content, you are agreeing to all of the terms and conditions contained in the Educational Content License. If you do not agree to any or all of the terms of the Educational Content License, you are prohibited from accessing, reviewing or using in any way the Educational Content. \ No newline at end of file diff --git a/README.md b/README.md index 0ccd18f1..cb6bdaf2 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,5 @@ # Phase 2 Project Description +## Overview + +A real estate agency in Kingsway seeks to determine what are the contributing factors that affect the price of houses to make improvements where necessary. They want to employ an analytical approach rather than sentimental before arriving at a decision. Multilinear regression has been used for this project to understand how various features affect their pricing to better their services. \ No newline at end of file diff --git a/condition_histogram.png b/condition_histogram.png deleted file mode 100644 index 5d5e1826407ee83476862ecbf1c11bafadd8ba56..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 46731 zcmeFZbyU_{7d49QF^`ED7@&xhqymDiJfzZ%NVn3B$2>~C!1Ie8Yt1$1T>J4g$*Y?;?A<^^L$jG8a!HzoW>pyt&B~DV zYw?qxy6496h2QeBqNR+PuBDBpxekqlrsXYTGfQKGn}@7*%qHmbe%ci+4N;{F_c+}+ zwSH(eOw4OJTiAFs_XY>>YpGY4zI`jyt2%9^p;yH_?c_3I#2rwnn~wX_&>a67ydiJ- zJDSrgS86YRcj?Y1^7Rhm?|(CHJG6@Y;Lu|lI`Wl89-96Az zm_JY#>#ei2gGsV(pg#U6Ma+-&v(t3Dp1*mgVPzn1ORCnRZ&e{iGQxhvp4Y>#7)xgN7>>w6(vsts`yD;bXi&n2%3Hr}Ml-YqnWq zr_0YoF@JXEW5=$%ccoQmPScSqc6PGr`*hy(%=q7JZEZv5;#ccmTwJ$i?OIW)WSFqY zl)7$jjcjoC&|CW6L@D9fOB3HJy%~j;X1W4-jpRK(+)$z&A6MRb`Yzt>d~K9Og}1}& zhzLerqXzL)rfp?EgtJ3kEEt4^)dg)v>Z(Entrli(Ke&JY_=yvup`oGUV`JCb^Q`KV z)C4olI@Rgv>G=+F6rcWJb)ROI&j$~_@04j@iTl0{8#dH@dHX2y#_N?<19g<-;-$O~ zerzf?bX*@l{`~hgh76aV&Y8x|X|Fz9_xds18m*viclpJO7lv&)x6ji?f7-BhYvT^7 zGn#GPkrkkPTO(y1?x4jPVj6!sUnOby7X723-={22P&mTOU;YoS*-HxM7E znroiq`M4m}u>M44&?ydy15YFR`t&bfy*jusJJFJ&dGCaLLQJ_gQ@l*HJrKNTi z!s7!4YYsW}R)y3$j28Oq&Cbuy_Z~l;^=P;?+vwZJfIQo=n}O38E?(TVcW)fGUX}iE zOXdlgD7Pz~^odK0^A*}$Jx2T+xmR{yNKno++?dQKXTGeHiJ#6;f5N_qZpk#N zc>DGuCnu+X)qu~!!otpj2b1yK?sVK&-agveSiw=OdMDCG94m@}qe_LQhIY@M7+hT) zpRlub!#>;7>M1;@AA0tjYPzobG0EWL>CLQ^xN9%&j^vLDW3x(N$V2DOLY<6MtkqzHopnNOw3HFvm@BB#+{&sRuUMa~ zQEaL5aL4xTlT(cvMn8s{@jK--?Z<`<39-?k_9v=8*a&J;la4&U_-M-cjk~dm3Klyg+*%+t!AJmBM zZf%JWf%<{9duGiV5|pmoQq8k8U{lMJ#ib=qo%Ulqc<`Xp%$G+4jmcqSE$a?CKEHG4 zjw3V2lid!X*)$Qp!NCcbOQTQE&)d=O7i(ByUT8lxKB>5omYv5whs3)8>mX~q)<%wk z=bTz4dy*@|&T9Pe#~*geC9P{#m~TV8-CX&M^X<%R=|LB98&&#iiV@ZvRPEYs(Xp{H z`{B$+pWt9tW}Ul#<1clL5+omQKg#2>?VrW}&`@b}9~^zZ60)G(fAD=Z`7JX?i=MR5+pSRu)BT*l7oq_CNQ4x_( zPj<1?xMfyUu{I!G)Oemt?ttMlj2 zpOtgXBdtf;VqKPIuWsA6?SxWVM4WtLT$V{|oXgLpIN4a~hdL5Ml1PM^b`!eqOG^ha z6LnD%L1ZhQK#bS<;B!4)x3VtVOd}I9^lgE;As$&d-#XFbfMAqSV^X;`S1bazVM|6V ziB8tTEs@Pk;Yw{XdRP6@6t=P^s^!a{KYyMYVczq>U}0vAe{O$ORaGFT*2B5U{_uD2 zE*%iG7BBv}l;4tJz(ASn3-_Fy?F|#7hC0s~NQ9o@uU$C8z)&A0u@4UykLR6RobHrM zP~?o~(M?xU$uj;-9v1Nj!BW=L)D*8oRn9g|bY7f`l}}Wrqwi`Mb^5uqNG@zS-c7Ny zw~sSz&)X|tsUK)xWHYL6(w-;xXzM}wTenhhBXVVujPY^%?x$DlBE@L=1qFNiZ1g!a zoThxoo`+-O^f$b4%gN0(XiCu}Yqb08*Ozzh&;(R|+f@BWZftQZ>)_aUPepysZLI@m zY_GA%CwxNc+qHfB5gQvDWJ;9~L7V02-4yk;t1HvIM|5#vqMAfo(~g2ztg3<6>kig& zSD*3jDcC_5BF1l~WZ^R*?<`zUD!QeR z?(V%Nc41zhKem;ZmzU&nSbbBcrKO#nnTgSS`*5HsRV%CdJQ?hUWQ}BU9Y)4W$Q3;m z{*5H|Glkk7QDIxS>PcS@2m(}bSS{E5GHz5Nx(-QBCQR5#76Z&WQSR~T)j2keB2{N+ zXQacIH?_2SdU_&}JK`}u1FhM~qCUr;ep!m0R#}{zstqzLip5gtpC2u5M0U5D9oIR^ z$QX0;{S(91ti-ij=@SG;a^AA{YynCjH^v^pK4Lj@MwPszT3*ITPS=)9({|-mYd2jB z;LS^~h{tnNgVET#dU-C+PMujD>vSH_*p_F>X2; z-!P(8>Je*D8^vEW_~@YXCpS9ogb(!l_a`8K4L7A;bfx8JD6pH5eQ{w;P({c==h+_G z!XGV0@=W5)J*)T9(vm;1w9mOdkIM)!s~NOBY}nEQ3sr)rh*SoU4(8vTl8f&cvL zSKoR4`t@Ex>x3-_g@bi}-oL+^;INuVv6ce6^rEFXBd4+Vw6nr0OF(LwR)g|gy=`vM z!wrc+adPodSKRmN*oGU7&KdCqO*N>P_2-WkrP~X!vr9hOa-inL#YdCvHk~9=(yetT z*k_{pY%;)E1amd;dpuxA|GllkWf}WtA56%9*@p3L)NoNl{Gd#zI=|0`R0v zbj(il62wKe27-74P(^LwF~*}u4G`>d?0UGvRXa~s|G-|b6;IKcr3n&3w?jJO6gm!!?Y=I3wvefi{j$qg~dhp`J*bO zWz`{q3L4I{I(hB(G8N9)vTUk3*ATpm=$&UYgFKih*xzdT*7fnpMRB6OC;Bnme7ylr zC-W3EiX4@IOl0)+V?_N}V}Vs;&)-`cpgx@*kDXcaJq#7W;ns>brhQwNc@)y_*74MIltPjxW%q|?gS99@>>N`dD#7RIB7Nn3?sZ(3& z&%`vUJ5=@^X#hawHK@51De5bYh)bY8Ch0gQ=XC;APADWLApfXJi#B=#-Lr6U)%4}* z^KZ1da>^M=NHm+p7N|V^=L_GOsquea-vcs=Q!mUzV2qKD6z#`ow-h<$ZwGWDRThvK z(w|Of0$pRKkwSf}%vBQkoPRFbbY)_zi%CayshMS34=YPNJNbHs{ev${^p*nxG00P- z+!$%kxB4-pL{cK~lI*o>Ug|E3Q=2AS-QDXEe4;0Mt1D`2WwxGONQqNOPAV%CF=@?` zpk-I}@-e?qG~MA)U+nTzb#Y6QdSM)j!~tXkDkEZXrct9Lpr3EKb`2@!+VgE#@b-wK zBx=ehC~BTDF#h!Xug`Dtjhnf;E^s=|+zQ`#-TRnCnp!9-mqnz%lIpCscW1`S7)l=K zAQ_8_ic-_l({JBCeql}M_ zOJm2#7TR027ud-lm_+{=X^%(A=d?82OR6i~s^EYxsoQt#;MII{pNBRbLrb^9+1NN? z?Uw!etW4K|5rt;{xtG`FA=v%xTNL6Ma8o~uE~<1Di%gU_C;f(Qe+0xmQgsr?WRm=z zvM8l#N9{;xQg*53cKBgD+*z!FMVY9aDUH|a?(U8_`*T4i-)7XW*|-54XllHIgM>_x zY;hzH?vfT?g!vEwD`~)IQUD~XWDj7n5J-%ZOh27AvaPNsSjuISE6Je;%#L!4dqA; zj@PS4LMP$u@}*1UHN2UmLK62+Fwws4sl~i0?1_*DDpn$s-@${dNjd_l;C?5ad zJ1~ln#zP@vustsmugjR;oPc+It2j3v z9p+3e*G}7;#oW_5Z8AFl-0japw4A(#bza`y-c)aIUoZ(s?)@DOqm>Osq?Eg@HBqw9 zEJEq#2V=g$a8F^brE{pjZmcegP{1N2DWp7S}y~ zHB1obR$7#{Q9;A0e&D6uKpiutSzIAmy&fxo7weRyWBw0k1?g@7SwTYZ6L)uBQ=V32 zvM#?Q0=Lrlh%&cF9+L=U1h8YMy#L3J z9@DndY|0rT(jVN_3iSyshiUEQdajfwZf>#w z3%4)U#Vc@hQF<|(+?%|RS#&e5fogak$08#wO;tzM=z94n{OVRRK1ap;GCp(x-F%9< z9=;Pe1uHogYpJC3OQN)k3l>-ds#B~X6Kp3*+|%>3;ds4*2Hor1_ttLCxb@|NFT0w6 zggSxA9WFneD9oJ_2%4Z*o|T(@EFx5taU)9acBMHJ9iv5wYE<52Zk)!;nGEhmAVnFx z`+FN1I4mZs?y{#mg?gB7p{~(v^+J0j$G<-KbC?zU9EeXIs65qKhaBt^U;WXpVysGK z_6vT(W4Z)JB_3~}2*{Hzx&yofiq1alHECPh90H?IIrWw|4UpJ$st@H%4N_FtH?xJW z?_KQ&VxujGTX;jxx~K=8GL!eD7fPrR58!&g-lH|cARK>qwsIA#3kG5@uc%&isBc(U znDG1%H~#s-_9vpt+}vRD(a4V%Q?<*fJX@cD_lN;}(C;jAB0=TNgN+2V^vqcNMDj<> zLCt`S$X1!~9x<>+#jG%rL=MCfY}SUt>5h1?b5TKhh8%C|bcR{){REmCKz#cgD-%s< zHM64GV+uV#rl(IiUrkC%nnTE}b(*oovJsjeN+*>oCM*NF&3zB&k^s|1 zf_=Et%gvIJlyD_O6h?#v%u7se9ve!pHbj(o^7r3fh{H%%nU1sOq+Bs+$++&io2?Et z>i+2)v)|utb^qsd_~7S;M3t!;F%D*=FA}ooT^4S41$$|9+Nig!)45N{d$Q-$sZ;U0 zyHZk8j7Nj!x*KY1x!b4wC60Nk+x6_~GPni+aQ(5#SUFQz46yPE@LK?Seu_Zdlk9%6#I7EM9agOW46+K_nWH+on$cvQS}m0KI3Ye=+7v2mAG@O2XX63 z297BCk$RyrR7kLraR)m)yZz!+qdR+aZ*^FsFN=b?Dx!kT;HMWCsnP?VF!i-gTqu5Q zj6T1-e1)Y5^IHFI=MU@vV`F~~4dF&wHs+p}H|=Vvdu2tL)of%2+d*7%EzmnJ&FV4S z82udnNX{8JlJo8ms_FquotVXSuL!`^e(WZ`A0emALZ9l{J32a&J;JO1>DfUp?K+2oG4ZYzh3qcfkI$Y)i+O6V>rE_3x1Ta3>;nIse=}nUmT5hJ&e6!WArg=c z?rJgj9PW5|+0~8y2KgN_$V4}H)LJX*WVg3e)I3cBm=J=`BYg5K2l@K|b?dNuPEhg& zlkz8<^}-@s^GOsVn~}4iXE3>#k3LO|d8@Tp6w0n|65 znc2db+h5;V>anq7egQ2E#IIO&m28e*tf@`clOjRRK)J-p(J|p$dCpX@w;IyosU_2O zoA>&BneD}@Z9pNcwV>K`%qz|KJYRtLKy9=qr~f-bCR_GPTlLqx7fE+sv=8!=PLz&( zBD^?R%QN+Js5yP^TaXzK0zD}k5wRM;7QFyM)8UurKXT;F9>Z@#LkS4<(GEiP;B}_n zY~f5p=3>mHkS_n3!miVWKMpm8#iv` zskul`_17|0+BV7}@bcuzihiiS=UKPUjVU8wp8f~?x{{4U zMBdle*PpP>D0o4LcgPOzT2Wc=+CPljSQO-Q#y=xHx*)C?$+3*bHgm}2&+Xf9 zPIX{SyA2aw;O#^rGPLplL-Fm76RKqKYo+C5C+P{ydPPS^*E=%UO$D&6%2g>nqylUb z&u7{egB{CI`A*-j-3N#>P_yu`Pbr{o@% zekj9RxQA{;K&*fD*D7v_vj#Pc42POfB-Znf$p<7pKtz`5`fDVyH+aafKF*hb6=ah^ z1d@+Di9J?t$MgF8z|Xrs8j_ThoSW(LoC4lMTDvm-{kzwrM~?zenI-XCd{eA{4@$ft zYTXJHoQ=2&@uzMqQ{;*nu0GVClW ztiShWVXkOmK=`* z)D`xT&U0?L2r4oy_Y#KVNlEa$dKU zo@ZsIiVm+ahFJjQC()3M=9z9~>;&sTi?qTWND!Nd9+;=B{;E%_%_eWI> znSHFRlyI7xEFV_{?C|MXmA#;D^m+V3K+s%(FV>0DX4=$+d{c#y}>2?;%nF?DBEHI*u@;7bEc^YMNCy}*xXH$lO zH{tjQ#b{7l5;uJgL4<2Rx6!PV_VoV1y|M>|9h;t|3}6mrLH_JS2>`kc+vn=Vhnqg5 zs(wny=Abr_%{Emd)e=d+=??;8d~< zzP0>?^34I>>7Tfm$D!*GnE# zYNk^$?GOt=ik{%&l2*w!l~Yv>mb(_JG&qJ5BJu8Q z@Q*kVlLsPFl0QqZp?XF~lQHya1-92oX$09UG0%r~b%jMh;Ukf5oyAJStWhM?eXZHT zmZ=Ns>D>IJZiBYB#9G_D4+}zVGzT&#KfQg1Wq-}4RoWG!EP@t3wzjr0*vA07*N`)y zir$|x;ntlprZM+abL=SJr5x^15V=vk-cv z5cLUfyJi3B=co*g0H@>&_pyV6(+hKw2aA)LHxd!r#n@wiAxov_{l6#u=F68a6O^sZ z({@%6`VBkIV7$A$#4S_$!{&)RtHBJ@b^)x_7(~F5T3MB5qt8=rB@((m$HMnLx~pr~ z6&6y>sAO}ha>zod<8QsA(X^ZuNgtuTHYX_9JLl6@r<`{OW_n{a7?TwBSz2IWV`M!IN@t zmJbdIu{cvzs?O?=)TA}CO3Y5l#iFLhdazRsRaI(8$S5aAUZ~!>Ubgwr?D4>!-l~yl zP{KOF`^E?6__azl`7+B~f%eX+9EzxDIn=~Sc>gfR@yA4f4Ha@Q?ECaWe(N9u1B1zi zBGW~2sWW5u#gBP+I8Cd?PfPn#=AhEarD;=yz~mcz(<@`I7(JZ7d8=PP*Bt#&dtO)o zCflH#dK6{(wTFoh*4VYD>^yKFWF$?^544xB4((Sr#UIwW&Wm{@n;$qEq=MiYr;?pC z(2&TYp`ihy#|UiL9N;+=YGw+vP~mQN)fhsi&MT>3O`D$%eOj+HN+U+!X?bE~N{GyL{6ST(BI&{@@A zA2gHv8EO{tJmt_Wr2n+}+~Ki+^gQc4$RKa-|1mx_1&Jmo!=#n(fRKINz-w)kenm51 zHzq2kUO>R)Q+~x})_`w9yEte2L&S*m!>*Rs2M)F#WkgSJuO4p|H&ksT;08d}DS$U! zhaAzkwz{(wqc5H>nMU|@P9xO1mv^uN!%L!glSclm1D(jv&#z-tIZ?11oGxfLj#?f> z_j0Q{j)NCJVvXmoEz35C0)UaKD{^vxj9s$lt8ZSL`UwY1qiWAlL5_b>mXfB|vrXGo z+fU+(u~aV01EK!`=~@du6$oiZ&nNWMMt%%^sbjURdiYt$ zPztMpb^cT3sB{HaN6B^pJGp_quLBT!Q|3C1LoTrh^?dM^!DG9vy9##SC1si!BvLLURraEs=k8PJV; z(l8d6Qr4!P>30UPr_FY;qprBZ;YO;p%+t!w8gx#&4r+odvN4CSJ7(wRPJjR>R6AsL zU>0jqC`*f`OrQcZfVyICZk{&B-u3k>50YTMr4t9xKB|dG)b6CJB`KfKjMyCgkfTA| zk_}>%To{F7N|%4BgQ{b6OLH#&sdPzB^ja~5DMDBhiVfi~idn%hyX(yfP+7X^{1tPS zgW9J2i_XWypFM}&;5dXoLdIt`KDV*3AgZwD>M|G#o;-QNwIs<_@w8*lx1lmjbn)oD z4b$Ng-G4V5XBoDGuuNAQPej29S~G^=r{cvQK|r871y}_F`TO6>H`5(7$n`KB2=t9* z4ST1{``NWH-$prYXuGje$4AAaT7PfXbfMhbT)On)V~mV@5+efuD&5B3r9e-z4#0H# zN!=?37pc0&4wYmB-qbCO+lX0Y^Bpq?eXtmaP&xZA$4W=mLB8ObmrYV_envBds!YC+ zk8AsZ111yNa>&WN4`pN%6tACMob)D-3f)7n{gIL1j&nWJid^31+V#9br+PyHVfUTl zeERfhiS{uMWfwN4)gP*6UzzKRJAW;Z%TdhAh_J5wD1PbEea@n4KPjk`NW;diYt}zo%2ex@cWF=aMOwD=Y^$yLz!Br3n8RFP~VmdBeu>Jk407 zdI6_7%c!4OW}T)HVf+?RxKb>3z0sF950t){*^R`5a`wp2Teo_3A7=JC5)4s{!kr+c z>Q8wc5C3ulrLmcxT_L^@CAnz!+rBPghOH?#Fa0wC6EvywVMsM*WJv z*^2Msed%a_VyS7<%`h=B8G&#usg?-htDH(jiuH)nIT^66g2zs21h%k`&tgtMR0TJo z>+wTMQnCT8pxZ`CYrH77Y)Os*9CqK`0@XI!;o|Vfh-v+U(}kwu*?Z4A7wqLT zj=^-iGBmg!oHBH~29le&gM3?oUF|?rt-5!9_dDnw?i>36ecadm*}RRGRxi_9AHgjl zFHi91qEp|CM{dJ)IzC)f0ZmcU+a2b?qe96_>Oalr0tV~j^{lp}?`JTr$g}`SNn9Pu z8Tu~}b9J93fnJpt3s>s6r&x8vsM&~#;h@vx)4ium6EK#FA^V&c#;yvXxQ1YB64m<^ zs7H~l(kEn}y_jF;TckZ|4}X1UXXpAi()XtBeuw_Fm+dK-%Pi$}r-l4>tlJ$$$pdb3 z3w_jVuq)H?ocYhi>E0PzzuuRi7<>Bm?%Tav*O3WuH#ILyDKy%8v?Iho7|4tmT&9Mz zI|o4VQiFn2ikv!Uoeo~Qqk0Ke6^dEG*u$|2qLhb^*@0FeW?M8cUIZV%*<-2>GOb71w~#u+D)n&c_`g+rQYl%q3Gg!+mDLI zAZ1XcC0Ui&cBE*RZzoE)^oQ~@=~MC(Ens#`ja}x4v#;dV5S|gPnyMN8Xl{>hmr`%O zp9C|#r?Ud#d=fEPXYkztSf~iitSI~r0szoyHP5pc#Bt8~uUG_$rtGzY>LDM@W8UD8 zeETK7K4rL?fe;I0;F@*o^m2DfUSSO@&_%ThHxM-Ks45_!9{>KQHewox7XWa^;-Xf=Yu7cRD8#a8%XuOIlh}BrJi{NjLuan z-;88M61?<>domSM8Co}QW?~ zZu@0Tmv)v;#qPqTxj}=xzc8Ip(mxK|<%h0zM#Gem8_&)gDtqP1l@E=Lr`q?;K??07 zA{PA{QUO%1+US633jw~=TPOf|h$O6RrI23_IkB$T#idKzj4ObwHEko+YlesR@7^7S zeTSs%AFtxTt~k)1pZ&Rq9VQA?ul?2mLQn^ZZr^pYDOQH59l%b>k6Fl1%+r!oVD%b!v#{jpf>G$XT(em#uWRV?r5)b2sm~*>IzbWNKecXOHrA`iXqjKj#(zQIe zo}SsuN`c(xL%F!P&` zVPs^~#~bwv-|7Ij^Ki=n!(EIzmZ8>{K$)fNZJ2-ypxQ8`Ll$nLh7`@WZq>73RrgNU z@(Xpq;p!F!_duLpsNJ#Jc^@yYKgs27bEKhw6n=lRQQiP{*m$^(D5A4PSKRhI9pN7V z_XTp^FT!UoSYYkxv&Ewe1zT@YlP(NF{OtE|5P?!>X_Y-)&qF!h_ga5G-pt9)85v$tfE5f%a<=3Hf^dad&*Fs zpv0Y7D2|LZ5ey44au2ss6xD(LkN> zr1j(aH6+ppxf4efn3@XzfE&QCaTuPy5Sxzcuyzvr0dlsuO}mvp(OV$>Gb36M4G2M|z)6qyv&h}i3XhNVwuQ12%>F)23#j+njqLIw5Xd>GWONQa?AsrYkh^#P)fL&(H zhdrq#F9ljCgx9=VgxEy_)|P=tFD70Y?41+r>{Yg9oVMTpF>covWu}$bx^-*eSjj$O z8o*4~s1;WODG^{ZW;tVb)aqq45kOHnl9>Y=NOD zRZhM60J|cQWMPCh;wJ|(zBwhBEt{y!i-JLd5N;ysOl+5$~TrAhDTx-WYm$)YLRVdN-x~?n^`6G} zh&p}XN#qSk?F@6$HLT?F6mj5v&VgJX^V(2#*AOTmFd$GzE=3@7qiW}#S0!S2Fu#Rt z_!W1aQR0KRe*HRGYw%wuV7j6NvpUMlDXZ3Psl$@tUQksEKxRU0iy-Dl>~I0t)biSI zRAA|nSw8oOF(Q!1fXc3#^BkL(@?l1RSg{HLz5>tKrD0JL79U*&#BW>d8q5OSV0k=< zlMdd@YoHSX9p1`9sBMI+%cB0APJd>jx(qPhBpfDt3hk=G&YFGvCo~ixocQPImfUx< z$cvNa9(XP?v`V+YV5*NoP2S?X2=kO3DgOE+{S(xyt3d>e+*|Kub`dsYqB)~1f!M}I z8eX6iW*M$1O9V$voSU$?giT_j4Z_<5Hi3#z2MxAqlgx3r>fKA$R zt`koMsuXesw8BVB2~GKc^Y-dtR3i- avrM+BKBA1e{us&7~79<@A6A_Hb3FOygc zd?teuAJG>xxfvTt5{kYISSJe~Gxd1I)R&~$1R-1vj;nM?O>sy^M~@wgyYOHGF>oVw z>aa5Sb&eFxn-aeXN{1S3D$DM&ZHpKOVht$QreotxH1GoFPOYjr8-5_qF zJT#%CXLhRDv`2y;H$t|b>+#o^1kc9|ng+bXzbwm$|ATO(W{GW-#~)=vGeVckB|^cF z#evK~Jt`K5d`vO};gMjJAs$q4R4}*Hp|NG-Do3q7Ta?)}b31Osk1+ z628Z;Um$!NsM)D922axQ(5!6JzHKlW>%VAjfW@Ra?J}VyKrzIEC?qCnF!A<3n)T$8 z)rF8F*&0j#Dd@57bWop|oUFUMW~1BgkEAUJu^$d7(((frQv{$T>8PokRP7oVhyw%E zhyH*@1aYg$zUv6^<-k^;Sc!SMW>cxCC+<#&Wn={dOpd@W&mM9i2P#tBSPhLmUiQ-? zi4d4{pGgha6>AAkGnNGf zQWE6OYww@zvO-ORB41tpqMZ3#Y-0qaG{V3_;xWRQ0rm0t4denFOv2kiT4?O@l1wFY zfB=#7l+naP+~Oc{h(?6Vd4o$F$s1%RQQdwhwN$pi_BIjj_N*kt*&{_-{(Q1c2(=8d zL%GK)C)DJ z`we+><*uALb0!1LV+ec-Mhyv{e;exIAOpH15M}S_TTs<~C+6p?Jm(L2=bn_HTesXg zNY7lbN}GH~lfv+S*MAtho^@if#VFYTZ%K*>IHY>^j~=9>i$$HtjA=(P@d*W{m%$ub zXA;#5mC3Wf|GI16zIZHF5;O)ni;D@M?cqFdbSt^-aZ%Gjnpwhh<57)2bR}kY!1{VC ztLDn(%LWkR1#bOwr+$zSgv7OXyXy+dJj1W=9&ZU-eu165*(P@ikWW=J_oxt28OX*z zF$4G*!^V5J1_Hg|t2-;mzLE?*6N|Z({_C&5$P*y2)u`=ky*^&XjB)DLE>)ClEidmr zsk6fT$(-vOx4EEHyv3T;sy>VuKs8B8w_6rGbs9UZJ)|Fn1d9V>p_MA=*+*TA*FTR9 z8^c;XhjI(G%Z&oRTJ{EXKPkW^wG%dh0zW0%L89Tq59Z4VSxyC&Y=-?=)Se_|08ElN zzX+339AePLZ%<_?l=3`hp^~UGL$BYzr*w22-L-o+nnAknvTyNXz%%I9b$)#R?p+K_ zzf?w-pDbux(O%)d-Y=&3_|X2?E%P%zKIs-;oYyPnh`G4J9%O_79|$Iq?2e(K;K70@ zsjwteS=iLtEQ_$bFj4^J0#9mQ2%Ih~DBuDANRfut>Bp+{HN}oh)4A)Gt*grr(BuGN zGqL9=(uk<&6N)BY2a}EhCFn(g0#=58{i{~4Bz8%PG!P|;!=`x%^YJjoP$R&?3To4n z>s^y==UXuj7c*R;hhT&vRUX)7UjU%cE=L$SC!ukOQVEq0X9DXqzvE0wYCD#)cx@J< zKXoUF6J%Zi)&E@09NZFV#32upTrmCw>&Y+P5dk_XCFLZFHW{pl$_8Q3I=op%K%53G zpjzo#QA^*>IYXZ5c}$*(ZfYo>NnmCAg(Ri)D+n0`84}0u@FBtD$IF_)?3hOxpt|-M zarU78T7h!e5*yPJUys2aL3-uHMEjN7(Pm^kx^LSyO=CS?ZXF2rZo@G##~)QJH}XD- zYmHjdERXmkr>z|U@cY7F-JbdCd`W5PzE&i&YPdA!{pR^a>2rI&N`J3bmX7w}7?P<7 z*MGV6@?`juZq@kS{;yxV|7;Xrc!Z_uAz-Yrx{OLV$VEKBmBxXDyA>)*>`cD(Z<_on zBvrEP1#zt}-6T16CG_|8_p5)pOk?i;Yncn5%Kn*ESSXgZCG8$=kP^P7_3G2DUZht- zDP5Pc+-k&Y(!x_}r)aHE1b(fJHTiz_->$CQS!}iBA)f{t%WG>VNZ2*qOHcPcBhe-g_*@z^@h$#WO^+TEs9JNBnYsDJhgIFHaV5H`Q%-)x z-tR6sU-ck67sGMzvcNg@BF9{m4vZAoAf6T%y9Dx}y`sb#BaT48yxbgwEW|{KgD>jo zH+%~N!i9&W1?D|ZQcVJ?u9GfvnmaG!MAnrdPIG5*Bt}Qnx_*ps z&X2A6~bI(R6|gMTU{D%XGc zuloSM)gWAQFJ?n2WN~VqMX-t$H~cw7mYoS zs((Gt-j&*d$giJ(Q!>CjqH>Z1T#}ZR^(iPUL>JzU&HGPZLk2ss^LKdBg6Q?_F8k^Y z*%1-iYQ^+2pWb`9x_TEBik)C(eR#R%dfzpd>(8#caMPkuIFOfxLS0x)j)9wWjp`9a zvTQ9P1ctg~q^qhPI0VMOQL`s6N;7o-chCI)) zN$b7wO|Af+U}L}NXa|oUVxpq*wzjP2xoBQ#{z>}qgHH1YATQLc6WcmiQy*hIER%VG z*?nJ=xTNGUB+xr=50R#P>)ZW?K2>Y3?6l;hp(*1%*1wWG&AI-n7h+*#W)~KVHBFWmNl-~9)E6$eIRe3tdQCg<`xA|y8uwK z(UJ$2$vWZL2-2TtKo3B!Txg$(qB;CG$wUw{06CghTr%}PAF1F%U?sP_=F`@&VjQGe z9PXpdg03tT-rHXA;~tNbuZ@r{rjx7P|sn8Z(r|$MxGebAqKzS9iqvhBs6$^cgm z0hNwYU?n2$nEs}D5P}FRN@XP23H=9|_AY?rR7Q{jXj(d4xumYH9w_XT$Hya?lrLW}rXs1YP&|8+xm3;h{=V;lHy-de(9g2Lh{Bk6HMFA{IZMzk9| z-oeC30T1Hu@2`+&2hv;>m9Y;aFh}!$1>@FZ=Y&zY5V!@Al~&#MJSr*Dpp)K4I6VTM zi65Ln|0C3PzAX3x+=dAW+=__!fyWcIqbQXy*T^dW!3?_8Bv@)<(MUq*7ShQ(yhtV( z`YLg%mt^&DO6Ti~Nh33HRfgj?B|mVSf!m>uf4%bn-Z@$#=onLUfzh9xXw+Cvgv7lp zn|kwdmr%vyB(#_X8wmTQYp9I${%i4BwOXcDRs1u9X(f4OYyzT0Vu$D7f1k|4mQ+UMUeO4(}yRFoU3@zIGXB1)Iv3OjQ=4|tyvYd~f0%Ia~aipBj$J=@H0 zGtcO;RaHsK|6KLp59IRzZ*S(t`P~l$%Big5Et+GjOuur+qti;`(OB#N&r~id_Y`(EI%$B3g@VP5Z_ueVm%M#aP zCQMC#nm9Q4e@yeI-Eif4jB8He^+&_^X!uu=224zk^l11U%`FU-o1os%p@yTK$eS$iv>7Pw9tTZwho z)V_l0H4H4U5bHg(D=k@~74c(NYxy!>miX>cY3_5VNP@Cb-7pC>-#vHG+tEl#W zW;^fF@h0wg-Q~89n72Q!=e(UilVa4!zIo5dSL;1S3nnC;Q1a5PEu~ITrDC;wxnXn$ z(Y>GjS3wrH-is{(#T#4!Jjx2t2ICMab#jx;VODe-Mm*3BZqWL^)wu5F6DCA(B#gt6eIKl-hr6ovwdN>t59j zhJtu`F#c3V;(bjn{Gseu!PssHm4+Je{rfG#FP4`#tm-Bm$Uw6c!dHPJ?EY7MBipT) zx&%kP+aK`=q|xx0)+n|xa}y45z_~q9$1j+H)~w>&kHO!o5@{u=C)2I8^2M6=bdJ-T3RMM2Y*>b#Z9ge;h$b$$*{I zGtk?LrW_68%}?x@hhQ@GfhGAk`h9IH+uPMR3MZF~GKc-k*n=jhdH*47=uVv45Od_n z5k|@>vkqAV*`pMkECCMA2X1oBOerE@R|ZDT%-9NnOU>H7yiV|8p0)g-4zb&1(FgWX zH=VH`@=D1(x~3!X!NcC=B%caFttFixJ>A`;G0|?~8)=o!a$3f%gpTx0jt3#I@yw&+LXm2TvlagPud%h%sE{8rc}4+LN}Es-Sp`mGlQC0D zy49Djx|1VA_i)N&tMn9$O%C=_B8oJTtiM#g6c!L)Z90vt(GTYt> z90|%9P(+5!X_1fyYlj>_5>uoBAOHJ(+fWC=_JH#a-tG|#hIoRtu-AY{$GXL^abg%{ zaE<;f_Ft=`Q`NXR7d$69UIZ>(;*KhVr%)8wla_yf z`Wqz=zNm0;syM`{+?cNd{{ezBTygt^Hefy9ESxBE ze)Hh1<@advRckoEeDc}zlysGiX^a@d1Hz7qS3UM$2bLwx66o3_r+!g0a3~AP(regg zS-qOvQ~wKlDPDUFhBe?aLgS(bGqI^jk@#nkEaU*Ga9)%vtEY|N?2dRc2I!3y5SutiYp~xqmo(kwoU<7e0LB_3Uenb$|?`!(YB3h6T zm9q9kW1W$nv~AbGbjp(hKww_A!bvVpD0GNn0k6>A)#W{+IMB-cE5AQ6roVRv8!%Bd zw`RQ?)Hr7##uE~GaGs!LxnqX^(4j-ED~u)C)C&~JvH*%r^Mw~;itq%Cu^_;eb8fw$ z$N33hJQQ(DqSCmTeu2$Z=GwJSCLzCQvCDjG%3wf*0ye+`5uY&DU@&SiE+M9ORAE(L zKGh-5GIp7TAxC{>nYJ5>ZA%D-b(S2Z1=|uK2le!Njfb;QY*DDt2HW zmrjEoy`*ivl<$|&xvYKW66-+m>2Ux{=@ z9LOO?`kh0&oY2m5lp-m~SH0sH1@K)tX*?}Bf=EXJQHc=F^XA(n|NU;3%2DEUl$r+{ zY0V4F1{9T05vn}7QD*Y|0AVt5oD5fO#xmGPjxw$I4ffMw*W_Yz=3!;Sv6=*|SJvJx zq%u$Xpow6Gd_a0r#I_mxwQOM5Y2R)-Th!y6Eknr7n_;0eS+}gM)8-By7YBL$F*sN} zwj(6`~dA;Rv$>#}?v8qk_21t)e7E_C+?6t3gF!vNYShIxZkN9Ay_iPBsnm*T*+lZOcA2km7_~0*Z|S%!Vbq7)khhR6qo;5i8BHVbHyqns3)SP1P$vmiI5$ zmPQ&OCn90UxGR!Mkc54LdgO+7!>3u2rISY8sO#D94G zq@=3x?`5-&jMOKWLOdTo=FEEg=BD-|50w-KG7RAM9qjXH=lqO=R%%lM1#Ob>NYNnj zNtF$3nriQYyie2(fb(Ph#eQN)-IW2{Ocj1r1-i34r(u>OXL+48F&=U`e*-Dptm2G0 z3+LzC?8gBVx5&{SV!|}I8RycSz_^T096i>t6qcQWfBYVl{T&Li(wDK3Ww4WU_=4PB zV*fJ34B&pc1?&_IN+UT?2Gw+{y=@Tbrf({OfE#7N)|q_m#T%1=-<-L%!OtZ5#6X|Ot zps&Xxv1D8QBCB==e2kS5>y?HUUgAa<4sxojxmn3&VeAnSGi-+MTMHd*P|yrCyxj@g z01511pN#n(qkfEbnynrp(HX>1ux1O&uFVI9RndO=@uWMfkLc@v_N7J^yPN;1k59s2 zqgEQ~V<<`8!)nr?|HW^6ULcYM^e$RE`#htetAbYSCy%Ji*TqRITd3Q`h%8siP-`gE z?opTbhDujJTBdVZlPLNm3s>3m`Zm;6_oOOdGVpVJ4IS+`vxn{SGVpoD4w&h=pZ^H*&m($!5yYl! zdouum5^HDzHAApEr~nHg@>cmBS^mTgT4Z5#dr%`#Fh|�hpHjK&cS+%?ZJsQiCh} zHz0L{F@PdXn$*>cZ+AWP*w0Tjr(t4(--4^MNK;djs{PS+8J(RwpT>Od$B!R=K4}f9 zkznLl(0zhO#`O>%B5Q``vGzo$U>S|XwkMv;TfuIFK|cHNa$(s3DB-f^!hzA*UasFmub>47b#agu$2udqW=-dYOR% z(ovZfx&9YUeBjC^I6c%XLrNK9eE-eDE(2cJ5T#KsyEPK_6uEZq>)VKE^~>>l`O~N- z>h2DKz9SwUn-05Z6dPkwR0P)-kg60T5zg+8Ex{s}NV;Q=d6)lZ$TJU#k!xq*xB!y1{v2#}=)cTY7>yWnU6 z0~1rw-o)kTP_|=sZ{qg-%k{wiUE5fepENDibqYn*kTf|5via!2!g`V5i8>Zv-+SodPnEGr!L7{8fmutl^`{fk%cK0iAZ2?5|aGa;M^*U;zg!5fPE| zyMF!M#lO~+!9(oF2x)NlzyD0+&H}m)2FR&bSVSo6{(V_Kwh1UufyR;O6~n4)#1bX1 z2f~GJbZV%%_CM3MrVRLxr(}EY6=K0aF8NQT*!I4~n6GyxjB%>(^F^El7hCyjlxZAL z-PqN|TyK^%;tC)~pn}6E$Egv+0o$YHBIQ-mINPs-nqNKL)x;&WJUyqk2Pu1Td*etX zm^#r>R}O9mwqZM~rXQa z9AFP5LRtk2`~+02$T_eCDxqPg0sB1}{wV*)zfPLo^7b2N8L=mz{T!!i>Sg+PqxF&a zyl`|Cj&oEgoF=X=92Yg~)aka;_IS5yTr80|LD5hq~Dy7`}ruIxq&AO$_YRGh{UW9-fZJ6D{#g zJBP?tP_KA#+-nHG#TDK3W)VHUAgga5>EN-DLi613994%h`+v0e=3zPK{oj9fV-~a6 zBFj)j*|IOuFqYFY5*4D1HYrk4vNmRn5s{NhmTZ-!NV|k)7->OMX_E>?Qt1-1R`=s| z7Bj#5_q)FL_d1T>ecb=t-{U&2?=>c8=lMC`%j@;rUivToni#WDwHDPJ9xbtNiM1mj zVC|E>V%otHN8Up~_$?>SZSJpj>gsk;ou>C~vI?s#MgtAAwyL&~<8bWu)dbT;(O`)h zkYD-QkM)bVVi70`EsseRGJ&}Wu8$LXwRl&W>cR1Ct@zG2kZoa4x%q)=rj{WGEa~(C zc}1dghDhSJD5Lei_*DKH-M^N>4_Vx2qNg`X`EwDhHXpkmQe=+HO816sQjv1DNraZI ztu6NH-eD1{>g)Hj^tY-6_1`OdnDtLWI&>>@0`9?4v!1JdpodOg8}BhLk9+J%-rJ|e zApaT2z`qYDX}H&1A1?hY;$i6R7>*Iwo2pN)W@a_U;MNa=4%|sOcqnRTXN{usP7_6a zFLWPQwl?B(gm-dti4>1YI3+J{)YV#)BhlOdXAqK{n043$_)TzS*}xo#WSLL$wO-lC zm}n37uk3WH5EO-9D?YaX_ebjMtPeP%;|zmmPc14Me|0FgoPcL+)3TveP>YT7D1!^{ z_Rr|uD2q~mRHf}+^1YE!#9517;nU4yRysK;W8D;6wp=4dFz(3qW+koRSmuW>8BqPg zB`0^6>yw3xzmKUoWgHas=wh|u?vu}fDDkc+HIs|#JxM;C|GU;^t-nh!5f%ls8lC3r z-p@fyV;D>Nl6I(++wEmlkp*~phGfJ6UzU?IBl0bZ`5?OVd0wf*8^Mab|0P&)oOUv( z@6X2@k?h&`zo@EwjIVRZ=3+4s5D6qAB(Y%#(vMV5PPl;z`Bi9xmPFTc7)Eo-D2zBk zqj3i5lYA^9eNjP6Kd!x=mIc2q+01^Y+mlkkDAc*Mp+EXY~! zxD%ABgAYTuUG=N#>I|f}S_-;5iciJh55(iB6fro8*1!Y7TtA65^aDF8 zrE@uT8dYv8#7IG{*eOfGIWj|DeRvnJFZC8|JuL-0)8vn^piT9)Ik{)S!NNCuL=d{2 zfRa%L!t&ycNdF)q@l<Hs}eNWYVE=Qm+omv zhw}Oni+@)G$e8&d`}JW;djWlggF(|GWX@x-B417Ul7;pS4}18%DTUds7bE%3r@4*) zKw0!_T2gOHfiDP@AVqM?(z}RL93Kx`fC3`~6_!cZl<(iiKC(2i@8YXH`%3OkPfzFb zW1Um41>GCdEAVWbNp6n$#PsilNh`5R89lqD=Y&JC7bjmhKXTNc!@jA%4~N#EeChxk zB4joe?BNBkCQg`uccC|(=q&CPJ#*xkBVu5!0?G#K7RBC8L-6-`pFRjnhO|w3z6S=5 z13hWjlYyT5j~SL0+^x&6sTtt^aH2!I9mfniI;}$u)e3SeAJAUxVG;_78e52N$~tX; zs72(2qNL6w(dZP!a5-?bd}{2Y0~OA$uEVS2R=b~+vfMI1xh&zt*qzELE0CPDSNE@* zxaB=^JQ`HDNs|i=jf|YX>)0ykt0x273^6sebzfsuw|IE3Nk?y8|MSlV?bNflp%pux z4{S4L%IT|s2U{*{9Z;JuL7|dWC-1DVu#l1}j+SV}MGGX(l1eW)xk!Kkb-lXjFJQ@; zfGLGuXrwfEc{++q*1;@z)!zRI3b4{K2pHjLzEiINSTHLyBNVxBzbS9>^P#79tjMCH z32(ErKlSkj#HUBFrG;{4N(C?RN5-b71SleD{TN?y$WY4!86 zvQtbxt){LF$a$!3$iq#n0s3E^rvJ)npKuq6uFK9*5?RtC3IsjcMf;|np)YYK0190n z04Q`0`=Ae*Yt7>twaUia@3?`;*YSdRYl^ERQ_Y>eBhi)PMKh?mzd#Li>(RgqUfsu= zqsp|a(RX?5O`xroLVBCEEMV0QdF=Gcv_F>jfv^z8v1XZMkzj$ym>G-e0&Lev=~8;g z?KDt!;yPs6zM5OMZnXzfnf60Wz;^?P)}(gdqZxPMf|#`Is@*W6y=gx?VHvVdDMJ^_}T*VzLO!t8=j9vw2@`OZ#ns&aDvGn%yT)(_v%?&J#XA=aZj zK-!Ec!soiUxcsU*D>${f6om8#Y7q^qLTv8M@8N;Cm3|HE$(U~&XT1E+(lMjq(AAWl#>c+@ zWEe6O?zNlcdaBaYyDFl6k4;3{2^}X}->EoJJuHkmM0xwjcg;YIb!N3uwa5k=lT18t z#*%yc;ziWj4d|*H3Xri)^kk78F-*M@Zkff5`; z9dvO(NBJviZ~B=n3KdpCyw6|;viq~vfsshniQ)Uw!uG!d&f~&~yVLMD)+Mvcu!M49 zBE@!iIWX%?Sm}#~2CGGXN;p1S78c4t>WXrCu-mrHCQkz%MVGe*yhj4AURbKk3sN%( zNH+1%RpF3S4E8VYkRa4cA*ijCRPTHnM(eEKduBkk{J7fPrx6944+hZ7DwI;0`(07} zv7uqb*A0!cVQyZ#9z{<`s1#;KdNJ;Bl4Fx_3P?;dcMM*+Ij{)@o#Go_{rI`*9vXNw zaAYrq@tX$vZa!<#6%ip}p%$h?91hqtm(o0mhf@EGh7$Xx!x!F;ch4Us?{xvJUfRl; z#by>3w19lkj;z2PJ=Eph-TRWCLrr-ao5~QaA!HMQdE#l1{z-=$31~s4hKM}{5<`-1 zX(ohBT>Jdyh?mfCx$nPKeadq_Gn-UPM!V2aPxTkNgu4Vp5Ejf<}2%Va_!z>({H6 zncAy9N*g6z7x8DB3iRB`&n{D6_-Mi}{a3FuFlRGGCzbj*cZAG%vOv$#1(|{)29(W^Y`Gu z=kPFupcn2Hya3nQkIE0w3?!>kY$uY{DUxP>j{lI)CO$~P*Mug9U&gZLaFIv6TJ?iS zc=X4qz9qHck*8XW$`Wf5UrjknFaxlha&j zZkn%}e&48G_|2_gwY;Jt3*N2r1xBdcAOqE(w`&eG2B&06(0Ih~j*TbZ5=ba4u9oX4 zX8-wzV}XLjh0Uv=JlbDJ=I}b7hE8_9b*65%Sk$CIL{M)>?;_bE!fQy@JG%#(B&g(p z^5wVUnEV^%XyZ+_WbXijCZI052CT<7T)Xw&(>Mss@E&mR9NTlZo(xmHWsO5@XWSAM z#$TxZxlOw!&Z8yaTWp-btEeoEI5(;2kI?}o18GyZr>rdcUz>HFeKhOv8y%+z04CX` z(TS0oLi2&=5@lT*C`=9=$Kw4PAPE0UY3nY!RC$jEvnP5u{0MIImM{QKoGyi8FcW<^ zN7gcsdohi&k%rma=p_0pspxBl{r9`bQI|hf7>k;faB`oqNHCWK0?b71F)pDXUB5=(@g81u3_l+y|H3`>n$e(08Z_E~2IT=Y44zVmsO+33!CHV(?6 zjTM+YLvTFw$EIlNBpD7eY=wZUJRuHkJHB9(Kb%gptjkndSn)5yJq|52g9g+TToHfo z)W|RttH87a6f#c-sv;xM=|jaAG0K46%ZS}8c!iMX4#Q8x-=2ej6B^;- z^e-;@Wy=;>!pcCgfzqj~2UGZ-qzY1q;usaK&)y8@jsG+NJ-sZ4J@Oz@aCOg>eE8w2VWeDN_cDhPEme%|~V}nZtd_^ZkRJ=aute`JQI^(o#gBGvd%k!99T= zOP3&qd#R!aM0qV?pdnxb%0L+*f;0p+c>o{P+5trihUs!na~UT^6}abq-A6M~S-5We z3c{KaKQ!ae`R@2YloEcvfsj(n5J}G6DOLzxHsekCY0_-p^zE5DX_?1koRI)zI-mv= z<#V_eUx+9Mx0Q^%W7JQXOZ=8rsEzVf{q{Uxd+mSdb0NmbTlrBw5c&2Tx2ZK7`R`1! zI&`VeSvmPe&Euzb?NWLF{!#8Tl@k(kX*)>$Kn027ggHoVrA~_lrKuF=x!@rgMRqhTK#tWy|*6bvJ;eDSegyc z1uTgyYOxTgfYTrmN~>XW+?J)Tnf##}@87Xw{EXjLd}C|dC#3$TE5ASwk{7(Ue8cwt z&wd|53v05{DDlaoxe$wiq0Qpndyk$y4}1+gY8Y9HBnsxNN#LGY`^evxLgE{oFH>1I z5*I?#E`xQ{6Iv7|;RYj>J-bijj}$z5aGazXH|$)vo|?$uU1Ulk;5O4vQ+yU5QnKz zDPYZmPo#OED3DNe#3hbdi{4O|IY(any0GWVKRh%;Ts~p~>h^QG)es`~Hzsha`yI6w z+vJ&KWzFx_EpFYtMeUwkeE9w0k7lY;@g&aOs;^)0>4xbsTmjtdeKu{{BwjESKyyXG z8eIhD^pbN599(_Kf{vQ0$=ABEEN5i8B9ns7-=iskli(MzYd`v~&To2hCs`@1fTh?Z z{{zYKk8{=(A^BGrEm?95hI!AKXMZxlBK!5TVz0x<6zrydRdL06b2ux)W`DM`>tirv zMa0@cD_OQPUd66Ypo>q8`EYVmq&icQW+5P#dvK)F1W60wWDW+i z`_GmGLUBwyPmsd)OzC=yK5<9#QBrNskl>bF`ZY zN@qGAvYHO0=Dj!K3#TV_JNGs!1ctXtqKcIi?iWOArb54ir!V`}N|9*KVF;5dpAnC9 zXkuLl(HeCr2pvIco34dV0NZQ&H2=XDV6c=%n{V9iv98e>=2pZXB~!~NsrCE(15&Ke zyS9(hO+*A7I%QbSO^|hq0JZ%<^Mypft8C}^GC)|&K_>p9=zly iq{+O$jP!#U6 z`8P-UKM|M#1)!Ef5+1TXyZcXQ!Or)x#Pb5bX$HN&49&N<_ok2c+yR^L%aW%eGWW+@ zI+~xejd}9`Lv}XLl!I%Wc$bNfJTH^Y3TP8)pED%vRYmlGaL9!lQX5a+A@{I2ckVFT z2_5ZFtE4YQTn5ITE%`oxqKXU@0*E)FhyIPQ>-jrYwq5j#)bx_&#|9iSV~z~iJ3M}T z!L~C}W5D(kuQKRrt$5ks1S~_(9e=d@n+65-^6l$3uKI|j54xt`rYk^Q^^!^xFWuBkCIPZr>IAIT@b_-$zvotJ>vg3-xnd z#aY=u$^UqZyl|(wNk5iOUH#g1>31>H%OF(FN;;|J?*M9t+MJ1bUrO{bNS_RbyiF8I zh0{`11zK?hWe(R^7JEuFd0ycu?6aroIrym1V-op*%4LcO3k1uSF)9l#t_c^A+P;x? z^JnwZ^?)1b_Zo!OM$!g@_?*E9>fm}s3?MBE<-tTzMZ=HDefxI_4N-`80bB^WQ3_rv zSG!;T2-lRWUqnoxTAB(8G~z~gZ0N`iK!GM-(|T7=qh#?(bC2S17+z38Wgs`dZ2r7E z*D1R=)MB>X|f{{wzP>hNQPZ|a|jSTMX;xcjyI{Td2aN0yW$f?-@%xH+_ z@7hSs|MLR?C@4w}h-pgnnGPxu_2S6srpF^L%~1Eq_nT?y&5G!&XtUQ^AGEhIZ@K*MpRg*w5WPKI8{4YtYV!g?jN1mS_3FKcDz;iKYNvX*~Eo1#lG%(LU zjM)Yue7&O7Tr{q^Y5~Qhn0Sn(tni=VANG>CX^FnzJ5-SNIp^0h-aUk>q^M92qU#b+ zX_QVwGvw-9IY0E~ql%e79zNufce9}vdk=E;hBiE{+*$SVhDSik5Kj&XOI0Cf20umE zb!Y$-R&;Dc+_YQmaj~AlMMi~#-qi1SEhZ_4v?Zz+@V4Y2=fFk}aY=>`%5p}1HtNn{ z>j2dc>_iz4y+20=o9RjQj8TW;I;;L*iY4tVslQxxoW42c4Lau|21p;VD5-lnUSK@A7vNz>htm)T9^`dVQgXf28mC2CCy?y7rz(l3W$)FjzTTnm_ zj2(f*T{qFxGFmb#yWue|{^mfl612t>=%yI`r4&W?wZz0HAQ1DPGSSYfR`t@_Qz`xu zNO&Qu_qaRSqs*k9jcZ=GLk=)T1bO==PUHQXJzzJB^lRv~$UC zh3lWslmS+f#3)%eEDKxzt(YGW0$ENUta>l!I2Egzn7bn{WKKOQ(d1|QtQx{Q48CK% z_~OtwcqT{hN_7K9Gi5QV3o<&_`KW%aM^ll~Mp#e(`=3E5R4;sYzy~9;*P>7Y037^; zIL{mKM)hyK&3FVfd*|FcEaMr1)8{snGios@dm7ifwgV4YI?pp$_nc&28V9|}SKr%WQc^f4tx!RE)8hXLTKsn% zx+uQiu<4`A2$%}!Ja)~wneHV)BnC+T`eDL_T}K?n3P}JU;Wy)A72{9&2^kLEh(8Ra ztKWJFZtB@g?6F*Ae`zJ}K?7D!4UCvdRV9HcAQhj<6BV_i)VcY*XVPr<8jM2zlLA4ZY zC)fcElqg`u3f0NsLlN7LmM?$x=f&(*LD)HUZ-ZF?zemr=JgmPiJNGO^La-eIFdGK} z16t4ch&)s;SDwAHgabrEYS1dnvlZG4Fvz3gw(?IaI}`+R%C!f~dZ zS&7}l{^de(=Ug5xT;|g<;KCTe~ zb_4m{zoXygP1z4BDy&|PH{2(o3Zq8(J703d7weld6_eoB^EMC0)A+jHotSGH)3gMy z;v>6nnHqfP#2ee|lJG8Bu8$WSGWM`b&dbZo9qz9;J{fDcis1eaI_a^V*ktd2w;^hm zLyM%evCn7tHZfhnWoBu2Y_l_4g@-j=DeX}R&wJFJqKNov;Gl;#?phZo(fK!|bbRpP zE>F4I4fXQB_2E{GpBFQ?-IMizTH#$gbm%q4F6PegAs(Wh0? zC$t2;%vSs=N`?39w{459FYWJeGU5Cp!|s*6%$hhu@>V#XWA{mB+GP8vUd;<2#r?nq zG)1?KsB6}q-Xllm=I$iL3+=L&f`d;cDb4+V5Zv9WkWt_%82w>gp5_7arJT9hN@{wE zsco-eN>3zn6>hrcKVXq2*3h~6TfdcHEmbuu^34~I(^16jd{)QNrJBa~s%`7mgJM8w zmOFf8t{=L$dPcb?#Rqa2Qvy`D&G?U`aPdea)HA8PXGt8Fb(f#&|82lYzgf*nK!rlU zMkLe!t4?S{W{Wbn(7m)Pg2IxA_am*LPchU=`1$gDn?RW!_UtXaoEFUZsWZ{+%h@o) z7p}`WmcAt(F`r2l2{dv$8P0vE@X#RFK_FeKbQ;k?iJiw&c1oX!tk19G*8Yb7>{cPd zyY=W!55nqFC{dLm_3yFuX2X$mj0*42BGGjqH)!X@bGIXpoC1otu=B2@$y#(K9bZu2pULHanF=~Co2fd9n&K%{mJhu>&VwQqE z&4>&!u5|is!XN*UNtil<7EX$^6Zy-={&=N1RBFbfrlU90G(JJ!lsB!MvzLBfa?j$% z1$@9{6la^MtZ?`N6EkKi=Sq4Zm$@9W1s|zpCl3tMufK|^7-fCC6V=?QYO9Hvp(G*2XFN&+lcZGGI_ zUXAUqsj5xf`?I}(rOE4Do)vTfo&`o*26_It>RZw698kHe)PC=P_78G`dzSy~$kAJ1 zF=9kx&C{ZPzNI&DJC!%}9;-^gBS+AQAkA_tZZ6Y0?C>ZB0M@y2ae);9;rX^lY=e_2vPc ze%8{~p61j)YLa*FNp~{x{`LJYYMYO_>}WZm^-qQw@19QyxO?c^fyi^ly z>ztp%VU(@gMGA75WAtbGLG79|ic5~(s#Qq=*cp&(p)e@jOR3y_Hp z?`*BDW%o_iehHm}ZwVl+zwnBvZlWn0WF!R#aS~!v)6Zk{RC{3V_X~dxtuRz?*Usvf zVr(x@Kt8ic+&B#;DHFLY)<4@KTTvlM0C{0I5@lW)8Iuh;E%b$g+lq*n`k!>*auFme zGLW%i#eTSOb#98PH#Pj~D{n19prI1?s7y8d!;Q!ynj8V}6&ZjgB+xE(FasabOeQH2 zz2B|qFg`C3pr(Q$Dhp^W&yM@}wwqfi@WkldA(JpE_Aq8HRI@!5(`L@hLYp!`A+vmb zI5_fK1rd?)1cFxIO+ce4LByJNu&y@w4%Vuze)44NBqg=a84nLN!KWs#yfMqf#5es1 zg<`iRpxmFY=cBXGeOgsq+)DwFHy2OUvsE9y`hFeCj9mBWY8yTp309PT7T!=(Ju^~E zc(V?#!YmRlr;l4#6Dt15IhL|H4JKVvFX`Euj!1R;1L4g^^abI6RD|(44>|?wSR8n2 ztJC!08Fgl7-Fc7dUVU#og3 zL68~Uz%e@r(rHdd$R za{K%HM$~pKd%V=~n}i|HEHo0d%U^dnX7!c#r(aSyQZma|sFWZjnOhqXTVK`WF-C-_ z$_m~3DcLT&2byUdAIU)JlBX-)?08u~3ahcbpIW;v*9Z37@451Z>FF0mG4bo7o7%b` ztvK2G`oNSgc3xM0XApCbOOE1b#Mv=tQBO!%5ky+##^6ke=QB=zG2;GmXOqjmR@rGL ziP}4F+|Vt!;4^RKb)!f37Ke2ncA6+-O=~Nw1@Rh3rjFb=+ZRBFu+8clLGS1OVma>H zZ~s_okq~g?>wV|9eEsLM?Gd+p>wbksU*&B z?L880oaEKH-Tm{=`j!eZ)(&(zem)~}d8yyT$&-nRYSyj=AL7`UHoNj zeL`Wxuf-i7wzzJYteyYt@?NA7!qZ(rDn09mkgO|PzFOn7W* z!vfCiXn12^HJP8mn(}g`9cbCM+rpEzD1s!_tN57^OKf(|@Tmv|Zap7;k4hOxRG3Om-EkeSYe$$4gum9<4cL8h@ep7w@L;zBRhn zriPpU+_xQ%7rTtB4vtPe>AmlqN+jaZ@b}fG_H2;5_1N~I#A&Kh0Fo=G`UU^@2mUuc zhvf7-Esngfvayi~)6%Ypc^C8+E(W&5m6^A{(eW&<{8|?8?>1k0r=DVsiMSig(q?=D zVH6NDfx<&zMcc1u?dj96xvZo72?hhUMnpsi*wRZwbhDf^B0!TYT<=9N~iVv+w(2sG(_S1-@L}H?R{17`tYAT7JebA5y}!a1s7Q9ou~LGLH`v-)24Zn zT(#D;yqWj-R;|{J8r`98Q%#L)_5f8x_I(2y&;j)PO)M=Jb(6BcuRwed8q_sF0sJo zitriNy%DJaDyg$ys~+9?)e*6=nV}D-xC|bB*6`i!kVT8W*;+e^KbO7Y@wI`$09(2< z+bHPJrQwczFJ9uH_$0~W^Yfj$o_M}{#F<6xX@f0)4oiBtqinMoJaE{x%V1LOPgRIa z`>$-hQ~eK&s9*O;h?frUMspumoLuv&w_&aj3e>W%nB(@e)4?y*5ZyaCq`aBzJ0niJ$=m$?>{GKV&z9<6+|H+uDnmlHeZw3hqaChjVyB(yEsIb4)7J86 zR$qq@>F}<1@7|r4o0{erg{a!Tl%`FcM?t?WI*!J~Iy|hbMq2a*GvzNDcHn`i1JoUt z+==ii%FZ3G@axn6@wzj(e7stm;L>pjcbqqGUtq<%Z*yoAZ`-SiZnMdJf8_t%#zCgY zK>I*~_+i@w_<0>_dL^C$x7ZZbPadF#+Dhonw~7lmo@v;9{OvZjjRr35C*h|hw7(dz zie7eB?Y-<=YyZN}IzCL4NJKypRmic-aF9vx!a$42Ptbx4U{9$U?0r>Sjckn{2olu6 zDn(hE5}QVWA@f*^_gl+HKAFU`nrCAZEIF(Ks))>)01Pq_1i6-x10w!+-6lW0cu3<} z^xLEcN2mAqjjf)lgYgg=bg0B{H)+yjZDn*$=%O#Y!+18!C>F>tGRD>U^*7&earNXG zi=mY}RjicJsm-ee^kO>OWVq%FYn~m`6t9$szl2Ce6rp38SO}!bA!2b7bo(+6m>>I^&aL~>d-mCiyK!^)?J=(E20!s?K@#-Ke2a=w@u2e6 zF$jctw?+{07QlP4Mm`3G@?)GI%snWqD3!@O%)LM?(heyr?DB$B6OKGCWb!HR;MyH) zwGKR*lsj5`*EP4=+l4oNaPVaRFKMtqRCN0HpDBO=g97M1dZX-vbCh8DJMnH|v^+A{ zd?}3+^_Vn&{(Qh9y(`b8 zJqov+Vz~~WNleKI-0jixHTF_3U@FbRm)%Pcd-eNRSN@IY2g7e(zdl7}k%i1A1$?Q* z$bpD}V4X1@V0fgVAy^Rq*%3okz#|&67DH}K`((Sz(HZaH^W-T~lova+T%1Z<6%6O5 zP)gE7hn+L!PNC`8tw|=;L|R|BGn0FaM?D`QiQhKUNy4ZD+nAsP$MiVv!V<9QZ*h4chk2GtIKuKaA=1Jpq^T}0 zOz(7f=qZ@>qfUm1mcu056i%{bRnC`lfR=s30rqn~3G_|4PFb_U@N zFeDrUd#Iy=e>k+P(phc0lwTZ^iU$==eV2F+O9=(Blr;dckb$r-Oq7Cnh9X_(drV>( zn=rf$4UyHc_a``w{mKPR#59pPbV!eOn9{pwp|@M65TGLdJWDWUZN94Io8Fs^5hO*G1~ubCit zhN`t6DSsUL66*;$duCBL?^N_tB9F|=&zB)SuqZLE3WJ}VZ}m746eQWBHrq3U0|RBP z%k(5Zb}++XPSf0H_lus*I27Hd5G$UZef(Fs|KXq+79j~dYcaNb z$cHmId$Ho%9?d*HXNc@yB$7DjIuLes{6xUoloaD8Zy5b-}=;t#RHU7-MxfWL46*RqKw@w=Z(z4mgzva*TP-> zJv8lv4I*r6aP$R62=Ps8@8vAD0|Jq+NI(I0Btf>{Nw^1_M4nG=>G=9|i~6@Y@e7yd zC0Z;}Tii^3i=?6;*;i`vL8psT^~8x2K03{GVfjvpT80lSmP?wqm~pS~HB%VLG(^1l zgaPW9eqxp83efVaW*He8I=4M5JkCI_8geVh#Ea4{JA*3nzsLEKyXGR+kNDZj31j-UyD8JRymWd09I`(LaE{6s&)_Ky&$CRNjc5Qk;kqB6M_KCZ? zJ929nS+3n>m6`wa=*oQra+@$N;g}rTg9p!6x^N2EbCllA{>0i`HA3a!^M`F0_eas7 zcPr3KW0Vm$L)=>=Mc0-VU09tua)o`?>1z(%_Vx|-`ywznnEe~Q`26JS1}W}UouQAp$Fc?{3T7W3m2s;;zOt8t*vv-!DS4@P&@w1YHkQ3FRk zo9QB&GQuGXHf4IqP)=9w1&pQm8SO>T5Ba>`u?X%&y^>3yz^gi?Jw4RCKY0ExvdtX( z>gd2`{rSzT$G~TheLkTJ)x8sh6s5FLMpX5(AMI7;N|8GGz`Hfgen0dEP(FHfxrrig zdoM;Pjw-rLzTMzEoLU23-bv|l_PdrI@fCo0!ufr*lUDUC_31Y|e|#>jLX-^FUH{J7 z#%BNWS1(`o&${5T8PH%NB}&Ze1d>I%)G}OLQCxaZ|JVMHZ=c$eUU=@uiI;21ArQ5h z0^i6Uwt?}TAfGW5#OLKi$E+YI%G4C|8O_#Th;v|8la%y$uWsQq6V0vT)P8{G#(4FL#n9;FgZ4 zsa^Z_T4G7VuJ&`AXph}~ejRgqUwuM|iX^W#-s__F6lR+%m`A@rY6Mz(87rg6n-j8X z#hd18+Lz_rq>e-KXGnDgQh9ZVIx1xJJgC>Yh;e!^hAn<>VAGgTkhIaps| z1Uis+sZIY+zWBnVzOHt9i0+ZU(BlbpD{->ik9^TS{BEBR3lVMS*&cSP9jvz3n|n@Y z*f3+Fc6Sc;x$~mRQ$r|!Hs7@^7rn=`D(-4Ae5dE8FK4! z8p|j(@wba6vZ69h`Kj78BRmGk>!!$cdi3bg#7&!6@j>kEa&(j?j0*@|WaDq+=MytnjgDQnOORevd&F-yLOMV05bXb5V!sQ4QYXiAfJ-)e=)BL>j*Pw6*-FjevQVw6Hz2a3wYW5^ zKfA6Z8c<8@;xgv=StO5rDIA4ckojC)&hN>naI;N9o2wa`e+k*-K24!WC+5U)Y|X1z zIec4fkY`-pz$n65>bpvB_*>3MYdOucY%n$_Egh4lYT5&3qbI2}f07QaWVK`P+1Imj zJT@N@$Qae+mGaTV)Z$*F@AmYdXzL_sguzWzFq}B5DM_S!QY|q?`Um%?>&Qx%UPdWo zCV3eaoTM@{O{B#lh$Ud0H!Z;t!X&AH$mO*5uIrfvzZcevzQBv=7QaMwLz;VspcL?6fKx}xDP|WkkCjljLeV{^D`%tF@z5}AFGPD zw{6vGYtzC@SNh&6UGcVXzt}guUS+?~j~yns4Mz`gY+>k~#0f-Lg%sBE`BvUDK*L%Z z=eY5@@kVO9ehP^UI=khDGvi+8qCUux`B22DvuXfZL@O*}Zb`@Bxa|1)f~1a6&D(S4 zNsbY<0s={fDh1B- z3e>EjjaJyWTZ5)dnWDpXV>)D(^vc{><=hau|8gHe=S$3%$R};ak7rOB`{p?E2Rqsu z^r+JV-kk^zUWN`v)B|~GVN^Yc+3grIG^sA)NE8W}laYnpSbb>~SQ8zDTP^Nrc}Q;= zY>75`MA1F#3q-dR%k1dL!(@-miKQ#bfs|e_{G^;7KWTMU zImzvmkdHA>+?GO+)=5GpgUn~q#K_riZ+6S}ORTYywnrSyTrRig8hwTgnIoZa33V?A za%t{cz8!}Z(@!KKllFWmA5OA}PF?J#rrnnd$6x?bGdU)9T&J7umpzhE2`ew>XJlr+ zl$n;B>R)a0IxOD+D{C*kx;P9g3on_8$POy&SFV3@mLx{}&CWQMyy(UK{r!1f+b}gr zcOdqES|1u5qX`o>%T0*gEamFes}A)XZ?$Rl?{`UZfdX92l#f6msS^|&+>a$HzIW_? z14oRA?U~RWVce0zHN~G(HHo`f8OSq`P*|m=qhr;CT@pbga0SY0r6%W{vCxvRr&8Z@ zH5b?209whGp>lk;^WPtnfnOQOg&)$-OzFO1F7@)<1q=2In*drfT`A+GM2Lk%qHlG% z-_!T2+|ZqNalH7gLJnD(NIX?3QWV~XLJ8#KX>4XE!MAMf9oOMSKreitI)vXO6J`*@0J?tJ)+*(`kAR7VklNNns|7LRC2B>9J3KOj1%g_@hEY?X(|ylrgb+Uz%4 zr~&UgVuHXfjF&n^uFd|J+n`Vp)XIs)y-_X#5w;egVgaT5I60I*|NOJ);3ZwqAwMMS z@@b?l{dlLG$TIhXl$INBxs4NBUl(f$*$w1AwN=mWGh^Qo`nZ1D+EW=Npj~Y*xqW;i za)UOv;scA2ds62<+*}evc;(r|w)%nCIfv%t#c}3xs{8;_BN5XosV^q;R5!7G(3(va zt#-FH_nJg52jR&UX5?h7_>8e@~3IvfyDd1X~VRoF?Xo2kLPt{-HY^_3_vu}~`NlHF!kpxXRa-0-K*&F_d2Gkl zafjcGu?4heFDDjLOYYxNtRYr;Mh!0s|1~3qo>daeAX4k9-u&8@=G*sh4Uf})c6xj7Hdh?Q!?d251bZrQ-@?X+FW5B@AF*45!%>-~nYI!3vKF%1(XtMx$%jhtL{h zB`2dQaJ`zg@r>}6Y9&kFwsKjpV8OOsj%!<<;xK4YLp)og%w)!gD@Q#gchd8i3T$g3i3 zKB52MOEa#zY-px-ZkXz33D#*R+^V{|x|XYb_rC93hmB%$nV;Oi5oz;_7yG9~eJ{Ez zYo{G>L!B%6ZX%bn@FtH5>zf#B&lO_a)R|f8&w?hQO>PstKdNk)c+$e-8;BS~??Wph8v+h`0&>P`2yVO)MdbypS{~ zDVYumfN-e#Qo;+C?2a19(P10jzL+pRp)6t8$Ipi%7<8`mQwAaGqU!=Bry750*@FulM}MdwTh*SnJ@hxO09w zcfE4nS45_zP!i&dKbp7d7YHI~0Sp0NJb+;MZ-(KT8_}2FtV!5&p`m$jnNn}w2uoV)$_ITm)+ zjRkf(x7OLN-E=2oO;wxJ4&z^CxSj}$J9*uD_Gg_28O$2{>=)YnQ=$~2?n->HNXab8 zBT{d23&<2B>a)cTLl!-(<9hL9Ak6N7cum_tH3NlEx6a{Q+dRb`eg9Z*eSfn{xH3a$K)=kgYg^*B%wd0S%Q5T}Y-_&#d13oU6>IFm zuccjzDk!tRRrS2zIrA7%UlzOMB+=7dsVM=pr_Gv`!}%}p z8@q72-uN$Y(LF3LH#=F{OwG)+=CWrCwY%*Fwod0{vfXW(c?sImsd6buRNj*$1WbeO z@c#R)3z=Xnz-61vA&*a;I@RI&Z`-!@b=cOjRjXFuwUc2)BvF70%<69W zXl@!LrOA`$aMyKCy{D820VNf*I3^jglH zGUCpb`HyAz5*@2=V1>`g{sl(C=lKVlC@P}m;f`Pq%oN_bWPHw{83zbuiU?n}lCBZY z)$DuYIM#;T2@d(BXnD-*IKSbUITtxc7H+>1A4e_0(|1^|)l`M_$XXjB^ z1UWCV0aM)3URlqiTB@4fMVE^>>u@r;hvw#jn4Wx@#{C_dHYwKZe$ zt+PJ#a@2Dem?CH;KIz?iFC9By)^V;;O-CK6`}gXvyN5vN*6K4(qN&seg{K!%niASy8H5Ul7MR4x*o?PC8BH9aO^PnC<-#ICWhs<`=3no&ZU*~CY%bi&;^o6?D$|f9?P1mF)!cwG z1HJgOT2AAaP#z&vJR+R};uG{32D#VBw%x~#%{dbw9T`uoOdcXPKkrgCKnv3S zJZZAUcP!VfTPN!(&I` z#&^pt*G3M@ds1qC2gv7JYOMbA&Kb!2MF=ScM95*d3+aiFUzB3JXggj;!!D(yPf1Gp zi$+Es%f6THi14HqzPWF3ucEaQ%Z7ZG6GNNE8|VidH7P5tu+W^IZODN|yL*MDRWnc| zF>lEn7BcK>zwBkN)mDy>Qg@3U4pV*LDgk2HM=B3BFa?q3Kudg;hG1Wk3@$%ollj~8 zIRIJm9Z2qlJVlxz>BB%S@I=nRLMt)M!?mKKaL1I1a@~?qIsm*nc!uEgfSzabio+P3 z$^)DZ#2I(IR4`@^4nh1y#%6qa?rzR&NRu`j&MYVKpY_mNMzYhE-sUQhc7-obOt}(A z3H_TlVOGrVQdQVEI)(vd&upB`@&X2{bBH(hX?7PaM z1Pel&CAR?6i%9SL4=-y`>qAJ5b^K&>q&2P zr|jtT<9c6A;wHch{E!HKC7_IybeXd0`TlZ~-wSN~jQ@)GS;P!#bJcV+TFC$SKPp8l bt5GM>(6RlMy3&o@#zCSx*@#g;l0(L@s diff --git a/condition_price_scatter.png b/condition_price_scatter.png deleted file mode 100644 index 4c155738d17cc8fc40bac313a56af94326dd0271..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 52893 zcma&O2RxST-#>n3hLDw!QMT-&WTuc68I{P6WUs8u$lheHkkzndW=CXY?^X6DWd1)V z-OqDB&-eMgUVpFqzTLR4^E%JtJdV%jy^hoGzQSF6Tq;}?3WYBtEuoA;q1&TSXi;ae z;5Q3TbY8=^o3@f_wkj5ew)VQ#2B>?www9(Awx-YZF4-Aa+dQ{0zs4oN#lvyQ$kx`< zMv$A^?7v>XWnuk{n?Jw!JsbqbQu?tC3Pq@k{Cg%#Eb}=E)s8D8A+G9>ur%uEtny$_ zY^|d$sfbkltS@V$p2~TnZ1mDR0bFxm%+@IZ&#aW@g^pMyL)#~R+8iw( z%~W#n6)UUnD_?cic+LR#SGVQxGz-Q@#_19z^nNhDdz}#PJeC`s>sNMTCrKdl#!lI6 z!fY6+q|z;kldqf%KYMiFldr5l6eC0@UrZ=0`_n(;xYyF0{7MN;$MWvU?;=tEzh9O; zQcoxrn2Ayq*6j$pU)xP&V{}Va{*Pd|G;poro8PxpzJcXF6Fns9bZ>RN1A3DAHAMdi> zzpoeB8SzX_rMF!k`u(9K1Q`g{SS$4mTu!Y@3YAQS*GzXn}IU)6lk`v88xi3^*st5}~3;JzL8 ztL9~g*s-v+wRN89U_s%Kq0-NvKXp1&#Fci2D;=-F?{6Q?_kFy$v9ZDPwE4X7R_C2v z>1w^7I;UIn?q{fByVgH#b(B{u*@0%#4#SPCLmym`3QraEV#{?)o(P>hHyV z!tRWF^^)Y8q#=em3YiLtmfiPmU{=lA3a*dZkLwN=7^qb_@gKoWy(A$sl(%LSpGa7>_h7`7nod8UQTuKx+x0vi{>Jp|t)$;um=rOhE=~hx9isaj zGi~ucj|&ZTC+l7-h48~oI7fLk{aw7YM5HCm#D?wV;mLIe9UcnHCK`L4g`Vtz@)sr% z!IO3s`KE(coe$QVSh>0H-n)mdUTpk&Y0317%kN$a5hvRL9a9)aj}+^HJYAv=UcH91 zffT%{GRySzFZSRLuWfZJGH`O@=T>guUcGwt_IBBPM*JEwgzHm{YNeK!X6roonA}kCISwhfmtw5WVB0!>rs~ zu|w{=5;l1`-yLSd^+AR)t*LUH5Qrr2DCET>(v7NiWwa|;_vbR->+&h>O zKGX~>EZ8a;^5TylQ!?L+^AdI0OR--aqY$#=xNbH?THxm5B9i2~_xv2KFhyBe87nJm z4K|(g`4X4RPi33A@oKT7 zgIO{C)v+q^{XZd9FbR;6hjHeEmD8E4EjIFUwMqa^E$tZJZ8dB08UT=&Md|@2X*VI_2m!I-tu`kqsl0`8IW39Ek+~Uh0tTd^h+Z{)GeY*LZZezwRS;aOTB}7oCg0Dfo>^UH6B_=@}T% zA3S(~tnmAAG4(!#({ld0Xho3vwlrEn?shOur(3MfP*RL6!|P^LT8_WSdiwhGS|Ztq z`W=_YsxBf!qL3u)*UD9K4w=jZ)B^51<8E{&{ht~u9XBoi{EEhQnW@?ttA~kf3H2*g zyV`YkCf*{?xc7?bXgL|3+X3&ElS{*O(VY<+r0WRUuLMGys(X4>7v_*!wX4W=i?P5z zo3qn7??2)0eXl+~v~b=TwJ)8CGvP7nyyUz+_)M+Dl(MC@)l+r>N;jtcm?KN27Wbzw zd&Wg3{RGJ_+mz;IzoLB2jB|#D)Kwoms5RoF7ZDLL8b;dDhYuVhPKzG}tbd+uhoAGB zSlQTW6Ya^pWck-((>0iV9_>pV5AkI+CsqE)U45XOKWOUTW~g%Xr^D@fxwfwETfM@;$nk@j z8!aVf!*wfg>&96{UT&+JUXS0X7(e7P8iwC|7%;v5D_o9C>C54^#yc1_kIkdKWLOUd zQ2sdgMEs=XqqSYjkVBEMDDeF$3=!V&MSk+3b5&b+5cb$1q!CO%N5v=o?b|n{67x|i zhjF){Sbmd-omNS1M~;n#g=`@r+iDY4j+--V*W>RwuGM0bJ&rXI60?|L14(S3FQvWhK|N4YRJtzrku(0r$e~Xp;^( zr|wKe!phIk<&YmloVMZQE_Qo3Ch7Z=f& zFA7-dG;AmCi8KY%49|&%i0)+}CkN%`#@d+n(MEKQMQ8SLbz*tj@o{{|tO~N+-@V*f z5kKZ6lT@O0JFr4NGPi0wE|t~4016lK<2A$YXZMab8~jLGe)ntV+OCdi4p!J(^sGus zq+=yS#ZDk)GsgI)K})1m#M>t@Y91`n+u%!tG?}|}E~G_maBG7;$b@^1!>3#xXP{10@X1Va!ad#;J4P=Y zq%K(0P8FP+3f;UClNED!rY86-lW_Kk68bd;{#PcNZo>gwv9HxG|B z>qIb$22G7d%U?8<91cy^`|v(%PpGMu3&$uN4BYGxqa$IKuL1DT^+~fLw4+gZrRI42 z3-t8M!^m*&uT&7;s$cCJt9lt07w0b-aN+gROTY;!(?mqsG@cb0_6vj$#l^+HCky?a zU(crGYEJ7;j=QIXAdoua>fCXS6iZ5_R(_!-UTwqV8UYUt_kIZRS|%6Pq@EA~Aae13-<%=;Sf*tEEwzDxdOaUxW3nU+;~-+h*a~ zJ?DBin7S7K#)$jYmaX%~Hx>_*7HFRJE2|y0yNgQYYP({ai>7|A)dUpr41KFz;b(pU z{Ny!gAx(exZgSP_SjcH-CFuKid5UvbOT(WD0rv_o>+cU!&Q~Wsd@r&*{W(1{k`z^q zVNv~1TRS8&GP1^1v%>C|^%;6u+;c0$3H^(hoohYYJ%L7D2~?elahfX$Htl}9Wh#Yn ziRL;o5(}2oK{xb(sR84;!DBvBD%EV6Jv=y9*tuJ@=$6R(an+pP= zWYIC)4L&zC!(Da0bxvEL%IP{M<+$BbX({48;n^u;zhfPuD5rvp}dM@ zxG89EhDJn?IMA3a_`8kbxrbi7PA|(rBV^YA2uDdp#dFxaf|HTbw_~<`sxe@F;e9S3 zz6q$I4DQ|qS1>U#5vm!XC`##Y7LyNy=y-dU zfy+(Qc%a;s(xhquyRSFV5iStgRnS1cV%2i}^GoV3yPt25H-kM+yI~5d9+IowR=!BNR)kdRgdBvP?lqkv;6OuB^bZJeVBsrLKw=Y ziWR}F)p0su(pNZ-5HSlA&N@ZrOUnpx-_t}qQ#va-$!*)7#DML&5J z7e|FmeOT0u$NO%_gye7$&x_}Qnus6__k(&dE|j&#U(wpZNc~E7-oSxVdWDWnAR!_J zrPKVS@!Kf#gxZ%{P4l?y***a_F90oY4anC7 zRKnXLdELgvNNry!U*sBboK2(x?4&L`<|Y;XL|Z&v861zyMCo;Cirr z7y19j#>P-aoav^JCg51^&}T4QK0SE<&|&f8XPy@esvsIv0?k4oFeoYOz zLsx`5c?N;!KzNY~tvCL~#Q|uR{ujS$;FYj?JdsHUVAUyY|My%Mx}>BeLQ1w*$3qZS zQ(?DU=S#!@q=a;%DxMuUVZa5>+sUFXYj88Cpb$2}U?|;r92Q&m*>|hNY>YKfK z(<(?H(3$-KqNk>(V*oLeguaEWL8*IM)+N8;#jVlYO|anCfpbpvKGJRkStSsej6gun zMvB1wLmKs34LV_sUcOGFKbgb+^5?D+GmY;FH%U5#Hv@T0aQuAZj}m0sb;|w7*I?m|I#(0Wi%ymDOnci%8#x$0U)l=3S|h z$OLfr*0ER_DZ8wgrVZRhc)fuHk`dUahc^|l{zrq1;fy#DEm_a-lro%*nJfyYcxDA~fx~iff1c~1(*d*s zlsm#sYuwKuY##)(xEBY&i|>9|x647Kwfh%WY+3!$k`)6f3#oz_Ol^w$V6#leOsT159Alx}O(q1?A)TaDW?#eVnEPu_Eh|1792d z%F{ugoSePxBWJm;c|K`HMe!FeL@KqkE939GBWKpN5r|SSzx+jXP2J~Ej zU4A1YBfk5YnVC2KP@mjMiA?s(uPS1%J*%5uN1+g@4>T#pypO=wO4q+$`- zK)5|<4qd?FnG^Nt4$W61WBv3%oVR}CJg{3DAUazK#AGO?rajkexFm*0 z7Y$Wo{#hU3-#yU~x1XOt8929eayO&}atK#O%x@sVU3;R?G^{~$+iIkkFDAS0Wq+Gp z#|{OKrPO^<=Hw%6y|Z1_XP`y~25^57Sa9_rq$8*_hsqJr4wLm_^OtWE!6yfnNZ*^_ zx&Xq31JL&~s0#s@kF*>OB1EfS?wIdJ_!}A+Oo|=#{ZIjC#vM#SXuFA1Ns*oskJ&TdOC$aWmpq_BU19mrMDf z)_4fog5D4W+#MUivj7918S&*Lugjhs>PmQM?I;4UjC-wQVVYn=-;C)Mt{|M zsi(JhvV}cYLR|ce;EM$>V8av8)ew~hk^X?Uv--cHyk^L^|8mZDo$&l2Kfm6`kK&BP z+uF)P+q%lv;QO`W?QySjE5Xz^i8r()B{8Eo9;3bQ^#{Ilecs_HObF_?NgoF+4|=10 zP{2I^g-?U_b{Et#M6N{|0tm91hctXtIP>#tnTLO(qM{6g?MZwUF79(@)9mwPQ^NPy zp}pMnUGfN~P#CuZ&=s4Tn`@vCtw9}|23Zt^ifJ=lp+MQ#6YLq&aS@)Q!Sf7rW zU;mhipCtP@<6W#it+;&i1XltX`@;#4Dlkw*&%3dJyGR-v8wVuS|FV7yI=f}r69gGR zX~LHYS6EalSi1AzflENis_mRDReEM-N_jc07B~0zbgutcVv#YPLND&on|X&Z+?^US z$;Ct^2w0)Lf0S#!ZbK3D^_ECgdAVRuPfyYA&6AntTPG7YL0}YfW!~O6JTmI()mXIL zQS%+jo7g8lNLOyQ=v!IPx1p|hArJ#t|GkFip=Kb&RBk&6^U_p9Wd@AUus+=smY7IW z9IW}^0U7Gn`(CWX6MMmTPF~r?@&;5@QgU*1)R^nO8DPw+E*Ah)qz*1HlNxLf0C?+y zriOAyZfkaClCkYLOl8dWF3=a|e(%M!pBg1SPjZr@9F4bIeziv5C{ON~#TycZY8Mln zoSaOU)^!%8R$*t>@WK{a=_@g@wmjW>Jwee^KS%C9oCIi|FnZ`Hm|U+w@O{0M#)_Nd zFom-;QbvO6tadxj>SjMgwCPu`(7+y3rgi*D)LcMaFuu_HejO$_3MFW_gh+VFeLI&= zs<0ppjuNi!?}gq{=rWU=e^R=PctB-F$golWCz>zEM=ucs0gBd{P97Q?5Dmn;uigMT z&1(AV859D701R->?ZQ$=&;bFR=s6U~`Hg_9LStk70Ga3moB!}nx`&pN&uL~Gi`jZcxETk(wx`FBf5KN^mlP=LaC;EjLL z8(7N}sK7PPl3lz(8?RlqV*t($GIi;s_eIOm7yaUCH>+Z^5{2x)Zv1Lhdh#R?(3CFp z;;ig!abx2vNE5B~#Ga1QFn_*YHwO+@0;$aHAeFEAo)35~zTlbX3niX*1i&WOj=@Wd$$ccl8(=Zu!2TiCtyZ~1~_$_6;pRez!?{_<2sH$y9K|9PjkHjETZib!2tTrQK&cqP|(5 zm3Vfc=_}j}->k;}Ysk6=YfeUt-dHI-^-^29q=F&V4|#PgJBepF|33$+5V=?!=`h9~ z0Rw6wHOxXK?1FadL{i@Qnf-%)EQbLBK}w1SK+KMQoV4N zP$}sj&^G;L-%2Yds7pymr0OFV&UoJEE&yJ;ift?Xll09Sn-9$sf!!)2FWO;z5mLJRhJHaF_XsKa)vI zzU@87iNi`$cG_4=HV!Awn)E9Y5~NrscMeD5OrELP&5~stE&I=AikML@$^_moBqVw$ zPA&*d_cj?ly`bjF{lcj8f;ZZhpDqGM^*T~!SShJrPkl?yby9JzJw1Osz?r%fl_^qV#XD zdImF=0kPoG{N9niV(PVwQoqw&!vspLZwsbcCE%z|krXqfSQ)a^_BDllzt)n{#1 zrYZ+d5GCsVy-?+|>4pgp>w^>e;FJ2P=&Tz{aoIkdDeog)8N&tI2WIyhUFSMgBV z@+|V7TatEwcNu4H^QTdl0lFp*O=pE=85R-i!50zbL6iOJTgn|RyWQuFj)M0<2M?~%B)7^N5j2|U+%QnKbDcm; z&(#3b4~vNCUa~Fn&eZt& zga22MIScUv`VW+3)vtNg3k~r>iLXxi^oeWkaJBlF7P0QfoHy_NgYTDZ5E%=)f;Y$U zRYna>&7g$^V`rd4&y zj@40sk}(197z7GDfY`LXTBdPasGU~hzeg8GGn+HKW7dIiVaQPeG9 zv%JrLFm3^9hPH@&=!u(u3))Ej({IFpVhmka9&f+R$@%iQ$p}X<5eonxh+97WivjjF zzHwfE`Q;31BcdP;n+eo@vA+e}YQU-OK1`qSJ-JmQ~>RC2pKCbM$_1qJ7y;zd7{s z9Ejauvn@#Nw6?V1Rvv*e7H1pW`~DF+YRgFk^lk6FeWPM^(hC>RP*<*8K@`>-^M8p` z+uJ>_E1)Rxa(&sI%G#$9brx7F2XezpH@^5=510|ky|PkRjU!45RIkq#6TiV1?#k7! zj_J4q_2kOQ8n#-}A^R>xBQL06!th(?n8}~87u!A`aW{aFpF`!Tag=Vfu^zvP2rpY2yf&j>Ho8)?sAk;%XXoZ`o6I|DVWCM$KR)Oer5Ewp zRL0-39U5?xxfe|H!M}8Lew)5ff9SC>zEXGIv2v=?u!zKMEPEKZT0HJbM982PvO5P0 zS5$O&0^NCUK64j@sr7@+4t-EHd1>U{AO4yTC#_dSa~rHt+YV}&Rk^RCZ_&rA{_5d- zarHP#etv@HtF1zz<$1^9RI%s6+~V$G(d4|J*2aFrO1-TuOG-a_2WZS+rUJ^;&6_tp z+~}@8J&QO{NEm^@2Oa!hy1q}E7dQFj#4@`nU$`CnCb}(a+W4yGJ&ba>UF?&^hFsBi zCwzbbClw+pS^xFpTwOP2-TeQ)s>whge2e|LO@Oeiz(Dw*RYe6#ci>)GWTbY6lpu9* z*8cD^ewrB&j+@IR#6(IP;iQ-%Y)n*cHaQ-;aLRj((55 zrlh9k`*NiWdmNPi1{X#AFEB?FVuHD4h#>=kLV?I1L_umkSirPa4lV;PO|q}=oGO80 zk?O_<(z}(crM(t&7d$HfsbgtzYk#TiI&>D*?%akJ(%>Atm|IPItKO-cP;~dwl4t>k zK8SxPD*xDPAS$JH>;6S83X1ek+#b-4-~&U0AQ{S?NiIqUytT{wz~fnx9MFL8VW1E> z8+-`kA2)}JP1I(2UT&Kr64d2=MBzeIWt7fHsTGKg_YMJnNaV%PbNhsp04VzB@b5A* zra*i5kxKJunyv-ac)gh+LBaEf@F~rCN1tsNcgpU=%*KJ zqO#MtbH&kYzzpz`u%G4On@FR_(yCK`NfR}zZkSV} zQjiS5t+oCOoa$bKh0pFp)pvX@9yC?U(>Wt(J7)C$|B!w3(7@~47jlo`Pve8 zA#^GiK|->Oe)pgGg_G}dD>?Hb!XvRXea~Z{MMrY~fUNMdFQQl-k(y0@iW(VjCo;)u zEmcdb|0PfV`w+hAtTDiA1 zVJ-YxLgESw8!iCc8dCQ*!eE;7@tsj0hAX>T+WX_oB)S)W?3W zbA3VQM>fka`(GA8kNOwM-0XkelXIzN`UJDWI5_>AR{AqGW*g+6Z~!JlFOOoDE7{J4s%Q%ixU^?h2-b&w*L)p8w;TC!Z)`7zC~ZGGPoQEfj6BJF<-^C6%eGv$wm%a*d`Q+W@n-Ohc^_odnP6 zY7K*+=Ra&v$*0oPWFR{hh=*FBV9jj6omSse8;7T+V=qYK?P>5U4*M1>u4yoLQ8rX_ zA@s_~SyY~e%vF83N2#onCy&9SF&xIUojUl0he~C##)t|M+C`K9Cg4{7E(piOvSSoB zY-RN4K7EDs^yb^3$397#!>K{BKz-1GJpWzU^#9G=qm%U;N#R|B(ccneAQJLzVio{zMjH4ENG!Nf^lceYRxzj{ycF_pras@Vlvm>&)(F zXmMKf{GClG&4h^f2~XEl!?H@=(|eA{)EeGa)%g}@UFrhd^T~gTOW$52qZ4-P3GGeB zyv^Z~Of;@fkLf)?GdkhpNn#qzt(QZovK-rNZU+TDg6Jan$qlo~Zovqj11B5u9nJ0S zUngokdBHye2;VL03U;#+Bo4a207}03p>Iv`6U=w2X>y4kLRclFIoKu+5ycf z+Y`VJ6IOFk)aWjaBUz1-pUU6@v~kR%-Vf zy}lbJLSaU#d~@P5Ttu>tj1A4BkF;H0Bc>Z|2sZRD{jY(w7H<0*h!l>Pz7Ib=@q>Ik zDcB=l0Tw7ha1-)>*XOA-v0h($)-GXgZr*U%-QBIYSaBY1-nB*k=8pW-bPii%!}>TT ze3G2d&K}VX@o(%=%Cr{}2lVy9r6HB91rvn!>=NP@$Z?f1=7~UeMa0*c_QZhMq?ZJU z+X7&E9cUfjyfFB)xRtbkc_E23tT*oA>)YH>ZTS2IS2pp>rDJtTiDu*zM${0$jr0M$ zg`~Vd)<(IHAFkModyHmh$j81S6gxPN;&3B?mEMhL^D7D3^VsvgUIy3a)+RI1o4?67t%*NA1@^luI{cy|wkZ4Y z9=!7hf*fqJ)(5Y_+M@-F2?GWB%t}aC@w(YT4jh?)XHYQlA$o#Wk<2KA7iVL^-+B>IZP z=sphzVd7o5r9=u^L0aRGB8biPnOzg_-VE1^-gKQ`rYYUe(4wwo&;@w%dUfgSup9Y> z)tZJ^Nl(ONZ+D~SlI=li+m$>1m}8a0tRzzxGSb`MuMgHJvJy{#DY7*oj<3KD!bqu= zmDJ&ky5Pf8@ajo4i@tmJuJmwwSV?=FXJ{KVnag5g$3?@Ot)e|W0t)+^oRaT*FLAa7 z#!+EEjlDr~Vk$|oBx+H=w@z`WKgu%^9eNhi6}K2AeIIn@?xdrlu4S8*3gYL?%a2Wo zl$M@iI+zcZoG5~E z9fWDOmWOXFi6V29S6@oU3yD5_g*=_xkXgSGBLLup?O6?V^|+g3_bv&V!Tn%namxX5 z#9jNs&iKvB%=^`Z5}AT_c~_?FGKT}c2S0z7%`b6pb2@*>_nmNp7G1l^_yWi0oae;X zOCeB0!K{!#5u-f#NmHouV52opy*~3s5F_NnDJdzHb}Eo91q~#MHJ~{_=IA~tX1J}> zWK~CIO2$`L^<*;{>OYrGY&>OBroS~Af?nle{3Vl6q=jaAJ(Se~;uH)jylN3^kFko$=z> z_cA6_QUPurC!iU&=zddE%i*{2<3sUpUqAFqe2dDS{2k*(CdWqDwQo^(DEI*u!{-re zxl4JQ(Od%E9*N1{p5j*8RWRH=hILo{RZutG@I-It+OT=`O!m|Si2kN3ZFHneJBcCd zc$Vv}>t&?k!p4%bS{C&x9pFttg5SkM zhKbRDB1sm#!iHo}d$UOa7qKy(T_mm8y4J-_$TCCr220bkcgvDq_f-XKI1=8S@bu7| z221l~n-Il0Z$lb;#D?E<0L`sQMNy=8?h9x+^qRc=W9nnBwg#gLx_o10WR;< zTOV4%<)_SVb~MxtIgy7qtrsjK!;#s7?8F z`9+-}*8#EO__gyFH0wU*q+m?0H4_!$3kqM|=f+V~CQXkmYF>)*URZFN>>o^&{avf6 zsfmPvU7HKep(t)zGt#>5PF@glg)(^`q%4EhD5O|GVEk;7;|!%yajlIx6w4r}9+;@k zeEqwDv?Aq=L*OQTt6$lwn~y@wfHZ&~ZSikz+hzKL{Df+V`-<-$%`3XqfsALhyQYhT$B+*D|F9a7UI=;B zp#tqlxXozLRO1km7rk&?HwJ0_nnizq+!5!^HeQz%*v}@RtE(%&Z}{}74wPbKqXHyI z@2ji(LwV+YDh4M8d^rsSi+uhh5G)=6?ctj5IulEyk)~nj)LHc1Q!Mf6Z8Bmi5;UU5 z=p4_AoSdARtkKxMGMi@{+Fz(4r=?bGOa?6{2qJNyBBw&^35k@!wt@@6h<#QF-LL}J zNpEqiC1qzgGv4an_~wJctmNdcaN+#<73@ z!2`Ng!&{l%mqbJ)Uj)ebA#9yZrmlk}L9HM|m{DVC^OE?}Iprh`PyuU*a?@-;vhA=8Kes_fngSW?u4O(?t_XxvVk+UIi;> z=(hx4s-{y@kt^iJKj=>Jr>U33I;k8R27T8lK`ronkoDqQjuY$K1%AXC@%uXI@4UHa z`OV0nQ)!d8Xr>VXReXE`ekMiViZj&;-~(6_kdKMCKkJ* z6|bT@fHZ;ta6A=s@W=`O_2V-4?zO0sCXy~i(NA&XSGu#*mNS4Q?&%)qeLvTV%!tRe~aj#H!T{FG?M(FOA*D(9hE7#NG zOP{XjZ{Kgl$-IyIuh%<^;^bCV%EvN}X59d7V2DA+Ms6 zwNayY^9^>o@`f#FhG!HE?=lN3j+eExq)70=od(^;=Pe;yuYK$nxVFg<$i-)Ru?wTKfz_oj>J zE-4OoRTcWMf=o_0@J~$!r`rr{JkJHVBN}G9jnrm?Rb>bw*7?WY317XcoYMQ%ZuFTY z3oG#alR&}GZlkq>0yA-sL~Ss%y6?`eGsk){PqpzXaR6gY;CUzP?ky_JsgTxj4`*d} z4niK%m+Yc%n4Z#_niahgabohtk+8T%<(50PPi#)6r;`s$i`}O(2CJLGSMBJs>S8Wm z2Pc%UWm_FA(7rN;xA5Zn@GINDqfeQS^7lQ~;XmE?rmRaVOWjQANG%3JV5*?6&KhV~ zfqr0FTA4T3@a1O4&o^h^3GdE%A!l(RjVs-~3_0ryX}dSbBP-P(p99rE?5XkkU;W@C z2ST|1>3kT0%>rrj- z3^@kUBtb8;_J{OI5`xKM$kYl|!T#*XL{a%krpTz-J^RU@W|w()mmdT*M%1BAM`IBB ztK4d18O(;$b+3im3@Evwj;p(n_2kGQA`jvQCQ@l;EdDH#;XIFOl+WI)9mhtvyuj$y z7J}~Af02uf2_7DJEr4<{o!pZ8up692|ZR8UpmTb82MkdXBU zP)N`fW6dlZhdbfQKMgdLczEzWes?M|X?$+Rm|^U5k$Pj2YY3pzZOGFRx74wj#E8zMPk7?y3AT_4#vlRtj! zTM1SH{iJ)>IY#ix4b$U9!7Jocbl1ouY8Y_B^jb@tB1LIU!H;W)wpY5oNoT7gmPfkp1l(DSShxb1FYi0&a0tDl!| z_tnc*b@)VGv7u*iJQ^%6LxUscU3j5Z@#{QHx!1!!nixLac!e@P(=3T6zohF!zb}A$ zTcYR30ggvqZ#f<#2C=gfZ~q96zsYH&M^z?#LdhMp6HjxVje?IcSFe&g;h;d;viwIg ztV7}>-M93rnaI{;iD$S7tBw?C-r#8_>{+VxjqsL|kb?L&gGAXNabknyC4{%WSs@S% z*TykI{&obUC|rAefCYfOi^sXomF;eX;}J(ZV%2t{W>C{=51eLmCf3%(G5zFlNCwW} zyVz?fv5}IchqG+3U@V07UNHN<(6ZHXx>SA>C>EBGG)B}j+;tSVoc!wo5fl08edVPr zhRhDBqFv@^=zCd?rxIL4R=;sU-v2`a<08KZMNBLUCHS6qPqyN5iuNQUFZBR-g>L9t4Iy0$Ffi%Z|E3;cE z{Bj`4dXCP&X6ik^YDoOrpwA>MSzl7-@f^DUN&bTq83pn1)HQB-iPO+wW&D{$1<$Q5 zQq@QO^^3o5yDF0dJW6xQC2Y!}Mv5!ruug3aM^Oh4gJhH64Mr|NNV!>jtToedO3D|* zRxbb3VrCH~FznWrx*6c3OKYnUcs6I&uwok!sKEaHb^Www_wws+DV~pWJsLnc4E!6h z33-G>Y)Y21-J96!Q{W)k*fyxJq5rKX^hT!2WKDd6EF!YYP4xJ{#`*YgCvSKea+H#G zcGqExSs-9z$h-3`QX|=W*tU{y(0T!)!I${?$;h8row3Bj`vo^c_FzOk@P zD&l4${lq#ZFgGDe#(44##9B%?pQ;}q>S}h%G4uDh3VxHmiCniscG%W&aWoUzrwe;% z%k5WP)n}1S6tL$4|1m*wHrV{;u$_wB5;64p))gD!UY_*Zr#pK*%kwXS%#&@#Ep#X2 zgor`^j3LR0#O^#lagY7`uPu4vD8;ne&1&4G17zij3UYHXILLgSSpgfU4s0vDkS6ph ztq{1riO^KG#{2I2EPIW7aHNxM0WFnY#A+5+m74&TCJ=m_V^h?B*3)N&D*CsLiT2?kv!TA4r zF8_7M!=(-S2W!vQbLh%cNHJmeRy}NVd)vR5Z#jAU2|PsL@_t*Q5IO8zrAFz%_I`(% z*k^j8cYz%tp=l5gk#m6k3U_@7XkKkQ!e7_mVGw92!|yR3@I(W?X$`BN!C6c|ht+w9 zFJ(V4NW6G$#(8XRJ2M0SmQd8jCGiJ6<@aaTuE%{Wee*cP?qj>_@x7d||Eb66q6?uA zPf+w=?M`HL^fc^we>G|z;&`a3q(qeS{{0ygY<*UQd5MA)CpYpO4rKNqcMsXDXvC*? zcN@wAGxVHdJt7Gdie+9nRA#)*pxcE4^{3A_*>1oa}OTDO=e;0>D#DVrA7{ zfm&;O#&QXO?yh(m%^(KmLu?%dyWRrIp47q;L(fe!7=VpHoaeC6LEChN{b}765c*`| zOqL=chMu7EYKDtDNaKomsv2v!R~anML!o7Pz<<*UP9>dGQY8KoN1}vPIvRe&?4A%M1sn$LKG~i#Ey!&Jno10%>nJuAb)^KtmT6dLXecCs4}0Hu-Nu&fu(g_$E843&vXg~q zsDiw?0m52XG?#7*mS*r=@Y>>8mL4ig? zL2;o*o)TlK?1%PoJ33P?oK!@4hsDg#U|iZ+6qBES8##@C<w7KD~F41QDrX_F^v~SIvXZk={egH zgkP*s*}zs*`2+#pymrvH?2t_hy2aj#9m6pyh5CYt?OFT#cbCq2&yWj{X3rJ;Tj3J< z;+tKXXih08l1UX2^IvI^>Y4Tr{cBG0bpR9Fy`S4Vz=HVwXsItT19@f#Y^)~0utW9| zYq|V>0Q&`tzctCq{4p?2ub=cSuO1!a8R~<*K+MSj@Kl(ncszO~8Pp2Z7@p%`Enzn> z+)@({w!#ko&M3&k`ts9HK1pXdO(7QC$#e?)SeUBZK>EIobfU@HzDYK zb&z<2m{v-^k6TVTh*UL;@OTow#Y!ZoT@-3LyOtF5nVyeqCo-(8^EMiw@`m*O1)l1x zb+22{&ufq5=({0*6VmQE`s+2ojK*}&#w-;{9c;$txC%~Ux<+s+y>l2eBT2wz}Y}DgNkC4ZqOu@r-YGGH!eUJ;q4kigHATNi~ zIXd_Q!Axw}zSOg1Q+2er=pn%ZnR>9aaGrh(OovPLD0YayVS&hOC_d7gZjfhrwQUAF zzGxjL&K$r4DWo88C>2EY8r0&8$d+#?C;7JX${#cRi+v3Oy zLSVNtNWy2+x+pfSpyVr%iD)oC^A0VQ2fi1l8fq3Q-KK7;o&oI+d1%K?o0*g^UugYP zG5Tr}Tjp(%oqMRf7mE);(xifDr_e{6hYub|aw>L)BhB@LT0YwA*RPQWO+hzMR#py$ zhh$;XI-uAeez*mgpk4hX+?I7C)X!lgO+Nf#L0eHAr)_d0MMvl1fS^4RxV4l_Dv@DC zOP2B^A>g)K5etq`;C80^{lt-p=?R7%6+96^oRp003@T8H0jwEIh!akGVAHyTMZ~L* zg`5QPBrAw>A`dZn!bMIhDGrDcBypU?;5)xv|4$qoas31bGeoD}Vt9T#JZHDiV2_k8 zkhAntLKYJslJz;c`1?FrCemynQytrr>weL-aYI*eR(;zsavAy6amC3qukuk+vUM8k zr5Rc==Q{=%g$gW>7 zP<@CPq>3bLK$B3F%j}(Md@~H8<={!rf>-9j*ok~Oqi)baAlgPXtd#Z zBO@0KRatAv>$Zo&(A8kQl8D+E1_bi%$)V!9Frsvc z%c8-w(T?nio5s_h<`AWV4Y!_H__qxW4ZkNZ{&)JlI9~&6GsoHKD zj3+)1Dg{R8-q8{=lHkyth2Sn{7byrT59BNi>MF_Ji9`Grwvyl@GAek;*Qhl!DTWat1s+Hj5LXJI%l3@slh(<>G zBwtX4?Gc$xKBP36C1EiMv~<^31^wG9g1tvYxAy`NLnw;%oiN80)?Z!pwNQSRPqyNL zQ4Hq?wHCbz0wuC`T^X3Y&^(?qZ5LfaqEqRHRLO+hQor*+9I>F}yC7gh^s1q$G?) zsn}4W<93Ws+iX@|FHrazhndDAd!gOE(S9MDcL6T##lo(*5t|MXkLR)A)VRp;y#`&a zH_%D5!PHZ#YS%=R)sgb|5bGhRbbhUwT{ zfdjrakMivCICN=!c(@w0&O35^47$w)gbyD4UN^_G6~zD1t#V&elQ8$uf#X++OvpF! zTQ`gL^u1iG&lfB*J8X>$0Yyci+U1J+I|?1ck37UN95O+l9{;$i!i=+I6og0keLuBp zxiI70t^K0HYC}E-2FxJ}y1=4==?J);`tXoF3djtQO5z+$6K*9aut4^5!Ufgb(a{8( zA(4GPM2FFeXJ|Fnn64-Yyc)|Dn5@yq`{EUHqlr=AV`_?h3EA>cOjpJmBIKLUa7#_F zSCjJD>hP#2Zz!xfP(P6(1%YpN1e0eH5U4}IczKwdK`O8&Mch+;V+*={u; z5@m<%6+(9Q-ZQhr@4VIfGrqsiU#dr5^S-a^I*;=>o~PH|N&rB-(9r;(1X~SLhcNUW z3H*I!l;JlcLgLkX;JaqMhBU-M1isn^;?+%1f#{Vsl}+KQg#NfWbjpkVT(wbUlFuBl z^;cy9c9vYcrA9N{zPOF)4~sr>w1SMs3DM7<%m*(2Hp*cffw{fjI0&_k%>Y?N6E8J^FCU2IKgkqZ5&IFafXx-JZc_jOE zn|xLAE^kHg=sFPX#6=y(E}#LX!|Xu9b?GAbL%?IQb$T*+igW;xu&H&aHwol+EqYcn zP?A(p?uZ%$4Wv92n!g6maWavr3241~+ip3OTweUWOhO>nBk~%C1R5t-ejT)X5M6`S z!)M4mQsZPdM`jw?MJ*a39*kc#iBKszJ3H&1ZPpwx0QqP;-u67`Bk#nB}KMFDzVI&>N@X?v)90f<8+y6!EoNQme)D%EJ0}H&YC`(kz8+5IG(Zf^zBP z;NCrmTt62U(m@5?BgJ~?JRsG?i}%zucJi9a(HP*13TY>?v=IB@MqHwd2bo$zm1sv` z!8DT%AI;CrO#xvH;Uc|&!(z$b*V|>$ljYI)p=jhhI#eZ+*Aamv#w5RS=D=;H#n+(X z>9B(1wHm<`*K5zdhn#vJ(mOB?`u|CI@!#53f9GFq>(XIz6$Q@5@#-pszz65L5d#b3 z(_Lb2?uPD1Y_JZq^OsXvV&@B51rv-5_npJJ^+n=N1Z>~+^ZRnGa8q#RjQZCDBB9hp%dOGZH=LXK&OYM3-6u28u=~tTwNHS=~$gJ*(b{Y>XH!&{2 zO(Nb$2b-cz65-Wig6Im7Xm-}3bI+(fzu0+ndx(T_S{W+Tmoyk%la#(TZUX(R#66l@ z5O>03(?fjaz*mBz2Od%LO+zN4&|fzU{n(o_J45grWhK;-XDQ!%ME15<+#Nh-BKe>(Xtt>7Phfh&M2-!xPJIMi01{D!-YrDFo1q~Ly9U(hLnP`e+wu7a)bn|LKI% zOYq?j5daN9XdBop@z%J=l|3-RBH(1og-Mb$G90yDx@LOCihnHJpwOYdGav=BU^K|3 zQ;b?&S2pSmP2}OGYOzD1sv!5DRaA5l_6w+qklWT?l=cklCm}&=V`GEn13)*4!P23|^lJ1WRO^Hru&#-ef{D^7#HP>jmm_TR8*~42qH1W4- zZwUQV>99Z($U>orSA+Jd111{iL|N68RIg(j80tp8~HZL$~5%)QCzy4fI*S0oGlhCTy2-z{16OZ$Bx>{#wl8=ga!L&VrM_h;d7PY5wjYxj%0y9wxg2g5SvTjhv& zIW(WDz=Lq5{9tpEf|t4D(+Z(eBf=?UV?a2)9o0a#X}9+0&e7^P901s=zyUnt7M2v_ zpll?q5OQs2O}B~hC}Yl2!^b{Joq_U^eTYfPcWl%N+>4p#+5OM-gHezV1gWXUP!*}# zs`O`j!uc9e0L5fb%2e2W7ia<_OUf=1cE1ua#BqP8&8YL9HcfQF!>?^d9#4f`Q`hDE zgcZ0RUqlXrHmp3UTzu7G69*SM-}Q4i zk3O6b&N?g+)|6pG!|F}q-d3CR@q<10iuvSJkE^I$ZNrEcu)eB(ZLpy2{3w?nSao03 z&`U)wMPG5ZTZ$6uGmH_F$aL3Cbsm=8XjbpEDhf~U9UwHFLm*EdfRBR@F%v*b*@ra3 z1Dnc_C~-J4K4=iveR!yhitEsr7z}rLDp1g#CW3UtYElRx3Pmec~)frRAg%J z)@|bfk|3mJQKi9InqXte1xM1CE?j~H*{HgI&Ak&mkvGwr11@t(O?sQbI-!bKf65i) zG{c%nJPP`pUc;;EUH-l*LM1g!5&e-548*Q*~|G(}$=j2awKv zhkzI3rbZVH1u<7;&6xoMtOytUIAJyC*n5b27wi&Op(X1a*;b$-u$ zrOhaIBVS%InXAaE`{_;8Nn3dH>YAZ_iSOA`3MjXGEZ1AALuN#mjY0T9V+BVZJXrf^9J8mvr# zmacR&_PJ|UVw&_;U^BWYjR?KdyAAf=rw`AB-uhWmfg3z8Cr}yOt47K~v|HaL zB>Yy!KwqeE@z5NmXDEqiY%Kjttig)oBN>Ae1K*o(X_=hrAD))OHo73nW(L_4TWRQq zu^434r&^Bs0bBse-t35P{_%NpDq0Q-4ab?^6@PC+0Dy{BgO6RvlZ|VxJ~{mqJ%yj} z?M3K}mJT=dItrQV&L~pIaxgPv(D4g^P2H^XBJF3(Z0xtu0w?y2bll3#>g^!pj!8D1 zzf|&V98SDZRKuvcR0lCwtweSo=3v8q>JN*Y|M&L) zm?o|@Yr;e2XHP^77U08))uVOAFM;n@+GGZ2 z#%PmOJ(iQ7+MaEF_fKmz`PaxJt%#f7#5D)smKhGn|K+CW^+UjJ!y9+2<=v*B!;%6T zB)-j6U+6GAC<%ZhB@$_dkS{cafMpAiLPtt8D|mj}YuzSrJY+J#aOZ9rj( z9B?CLPN={-?aSLCI|>xc4;3@G$hrcIADiVq$lc``)-=*vR$+4$G`*sbZ&&lf%rXh< zE~m$-U3i&fqGHNnn?|hWnVS3fb=uThYeSKWQD8Iy8b=89Ln5>W4uq$Qz=08JE~4`z zK6H>U)I|NELN3iz$5Yj=M~Zh?4cY9j6(shzTlCN7-7cRJDBla<8!Kq?j$AAcT-8-!H~*eRdQTCP-t7J}%FNZ|+g zkzpNmoE>;gNUe!jyH5^VWkgr+{P}&LWNB%6^Ec8>0dMQ=3b>wZ!%gyKCpYLFWpf6Z zMuZW;*h|BP#kW!tRZQ?%QWzhM41TIYD_cXOzorA?MsFx?oOs=pp?XYneM?6Ku6lZi zL<90EXmngKZZ0#7zaf@O7s+u`;n&|t(8wW0cvk?5j|9d@2Izc9FA?}c{c?-ydywoy zULv3KdqnP~LrUMY4~A8=ona-MgdnyNj5u;Mgp+O1&Wm zhS2kof0caIR?3}>MBM)yFSRxdJLxlrLV=mCfYDJw^%!M&8s)Zf18p6KA3;AK>RTsj z1z^Tsc)VdaH#7~24XEcJ9&zO+yKZN?8c=`$v5BXk?WfqHF@&&QAsH`uG#3NpEI#qB zzR53e=)GJ7>CMY68@q~Q8^NETvLnN(a5AOv8uj~0xLao6G+W2Z8NRM;`rhS$2acO| zI}eUS^ink*6o32ELi-5QPaLgcs{zjm68^Iw(Ay3={W)fFN4QmCbciONx^$HiRSqr; zjjZ~25!j}ysV|}Sk;U=Ve<R z=|GzT2e^$sEo83=pxP< zByto`1|kr~IZoXgi3f8@YP5=6exAG8Vcmze^3oe#$v6c%_-)FUnI;Db8?oIK)N6Pq z)LCs~TNWFkOW)Q(_~ksTe?pJ-_(lA%p^SzZ)J5;@Rk0~o*qI9fEI#^)Jl?JB z7-;{)9YTI;LraWS!8AQTL%-zgV4YUwucR^a((jd^qaiJh>Y%mYgOM`DoKkh#H0%Og zMHx=9ks91=sXsPZql;tiY`mX~PaXNr6g9ilvbHv300tpx9mI+N7yyKX51+CS-0(0L z0uxId*;Wt`Q2-w042*q1u!cxS%~c#&l_iatIK>_2K1p2c` zuR$aAnlBIt@!_ivfW`$BWf`2fAUpN0{akU~PV&;7jcq)CM#e!8Y7G*JS-K@1e6iwU zix*JKWYZeM3f<_NZzD4ANziIlzPYvxTaI|pRaI_JfgfO1$XKyU6QnMIbLN$~X~XRY zzqK~EF7Zk2&!M(^n4cSiP2fCQg%QEeTzW!m3f?=2x&r>=*Ko$@S#|~3XTZ1vHriSJ zJhkWL1W|AW$uGe0eS6`X=xHUJN(0a_1MjC~M3GmA4 z`(jtlNN8O)`!*8)Pe!5(;u#1U&D`zHFOQ~m!W>HQr2RUJauVLYr8wr`4sW7DA4^>>5eaC}H7R+6)XYS73k<(3(C7a(Oe6{Y4lFk;4SMn$nin!0K zF2&(94kC>~TL<($DylR|<84D0i<3v$WznCu>^7j|JS2d6*Y+v$X}n%z?oj4md*xDc z)h1E;3++Nnz!fZ){s_*S+cVt1N0QL78g{KZzwxjLJxGrwn`L0mDWT@MyBy7Wv_Z&{+XVM+S?Oe!8x}`jz8Ir(hXedWyZdx^mBoeto-+;yV5um|za26OD8PQ%H zzIE#gD@(6!De$(t46LVa&OBAp z$@vfdhOj&Vdx=OsTaX95o=@=QS^=ObkO?Gc8Sv^5oVjGO8u()qNG#QrO8)!Nc(p$i zB2m6$idR_w>HDI=4uO~S>?lX(4-SY+O+dN(2Tf!7j9Ttu_G;7WKRK*YG`Ji zh43_hToeHbDES4nv%J*yjIcW|TP%9uwCW$7pcw7g8X>jS@O7ODhil_Y9;HY$rjMPX z%1!YCcCa!UhnFtQgwz}3!>p7dfau>$5hZ}5At#XDpB{`;eo7y(ML?^_WQ%JhP)w54 zw~KSIkH>~Rr;N*da~$g|BFcmOHRiE~#hoS%r1FDah3>r#g zvI#_%@RR_enQIV!9>$&gu^YQuM)a@J?DV4AGn9nNykgOvvb8EiK4QlsE+dE}hnp+k zr#1h2HyGt}OUOtU_$Mj$r<-bT$C`fyVVL;I!izVYyhiNIXIVe#i7p?F9GHfKtHuRd zqg3~MJJ;VX&rkSt_8vU9wLo`5V^&Z3EZ^_Gx{nS5|)G%L<_?*moCQLGT6<;7th$qH_o& zjD}6$c2zj7cIhoE<+7fuG^V|5^cO4;m1y3s&-?2?xdmP;z7uJrdHqDGEjhAQbAw0$ zYvc!~=SZ3fuu}w7BTZMi_Gq4rzUQP$#H#AUQ+qdjwKcYyG~zOdrqhZh7XO0xRj z0)MkZ@^^n~Z<=y@k|e!=-=*ym^%&ZEwQWtNeG{~;PPk=}jzDa|VU_@5oT(~A3+VvatZ((BEcenC z>h6K(mf1Ivz!36E+By{CS1!x6;ug!|an9t-X3xzzKSA0|W;vD;AH> z*kr8i>3+FG_j+^45o!*CgIJEJ7@wXi5hc0JOy-+CH}B}l@}bhMO`q58)bb1z2Z&-bVbdJ@6k&YBdaWFi<)R8#bT9pIC7rL zGbuuR*Wu0S{YzDi^OO0a%rPQXG85j8g?U(ae#*9YY;0YRX8kMEK37q8I(|bM z%?gIdy6A=zHS>3Q2UCpDo+%MJ`rlo)poQnYwG)FxR`o;SXD^8)xc#DKmrg7!e6jK7 zb+q{%4KJmUq6=)-yJE94w~Ba$q%;gLc2LuJ{%~Kp9&%-=xF!w zHTb!hve)SUGr$$}@?Dn7C2Kec z(mZkRDjqJ~U{%m=axjaI{y)-Dg#r^@OtuJbm?h}_ltmh?+F&d;mIw5a);(egC#ccCEYDoiE^F>_^#nnfN+j0i+I5v9fj?JeT0LddXH7Ml6(r(4rm|Of}Fm=(2Ey%P4cdts$;8@6LM=%xf*(JH6P?& zo4(*xJM-ckqxZHHK0@!{&yjF0yPcCVBCKM>V1PqAjDB6k088@IArU)rKaxcMFPcW$ zd6IOB816&F%XjDwlq}+(-YMiUiVJevM`#GRFz<|FGGd}))cdP&d|DP4p=YKUpRsYi zM;+||2=cY1kCI=X-D7wyb@P>rGcEVtMi)vizbK8M-f~J73gK#|t5mL}`2;OCVd^Xk zo|m7DF^}0Vym~JojCe*$ec2>^Uz$k4x+98a@$Ln*9sY_*` z{@cIhV68>A{?Tj`M>Sv+0*R4w+1VyvR_+-nzXI>by^vM-jXMwLs{ zC{MRt#^LrVySZIlvoquikMg&FeN1Q9^BXX>5P!?m^}di4jUys?g&(jxp$%dWS@~UJ zM~JOhTFI4-^5Qv1O!#IF?jg5vzx@BNUk$S2N(LG+={phLxCcH;=EAfr4?09>9|OLy z;k#XFTSuAb=LLUd z;>Y_$y+pi1%|L_3kozE24^8TGd6k4U?j_*dLc9&!U9k8t#s{RuMp>$YoxC zoJN{(mQO#4zPJSXKd8#erBoH12yQnw5) zpvb9QA^u_h-R6qN&)FSNFt#BCakDTkDkh0Iw)1PDnPK+fkcqSeDDNc7yY>&y)Upmz zvAF6E79_OPykU`s2m5SP0)1+1mkeKV_BZ;R_~w^?nWsXurNreanMf@Y#N)iR;0hUE zQ$}{7By}&zU*8iVG&;P`T2w;Z|DsPTED!81uXx_SIio71q`~$Gs6(8uIu(t*A)Lt~V8Mpn+HvIZ(Yyqf0&L2w*F z{>Wc`Rf8{#UXAHO=-Z2bG0<(`@!EbOu{|oC1}hg1Vs&As=hhVexRG+B;!hw$&xMmY z$le*poAs;|J$%FlZ5Axcj?Stg`ms-x6nskQDmPnK$HD2N?eyKZ%qC}dl7{1bK^NGh zXLLdX;aT8I`?`#BvP}OLF=*iIWpPI@>SIK7j7p(WGY<9_PAR{Foc_wyhs871`*}rW zLU=L-5z)8v$yg@t7*q7S|Jiw{KW3bW*Bh4TVhC(n)O9kfGs}@p5p43kn>?KDo|cRg zzbYi>7Ch`cvEWa1CO|a`>6qOMAV9Fb)ff!qof!YVZG{k{#c!V1blpS{H zf0*1xa?koNm%qYo>-;$@R_;t@&5X+oDf@@_!Za6B&>(;G68S1J_a-5jHPfCu6kx%< zZ^x;?^6WFoza8)2sfEU%r|^L=IZ2`k&vbN{_@$p?gUAs{5Azqav!M+mGP2mncY9Ru z(&iYfc#Gwl0c$_e{SM6jUIE)jWZ?|<{+hC|nnA-5j@r|Y_&Gg~GC)_*?7XW@qjy0Z zdWl>tE=)YqJ_8%dS~L-U;e+herR>+Zw7ztO!V<{z+ah@4IVsE|_#Z=SZBerz5aWRz zurBVlNeJS+LU40@Y5S!C4!!9{sy+J_O}z$zI}Yy5nicZH?}Ul z9T*YFR3pR7soJ(rLJSy4W)@j{AV5s~yRdPd{L5+R_-89*mJ8A{DI4BKhAVX@Ux8V6 zS)fxPwLU`Z>`a$oM0)*bQwY8TY0o%U8m=J@cq1@8e^fx+SiQRKmq&R*cnnWV^C1Lg z;fPFHy_qIX&Y;=RpNY&qI)&Le7--1&FF@7L!gSDc$TX__51(;?(N`-3^C8jdK-<^` z6MlJ{CqlVM-2K5h@&oDoLOED$mYqoI^_?ou=pCEtX=(7}^X5lpq;%ID(IB_g0AUkc zG?<$qtIMeg^Bn#w!9)ZU!i%4}ArTgaw8IdtFM=wR*r+&1^Nj~^=Iq~XL=OL45yfA6 z%KsxfExMqfCFI+>F6|&M7vOkeIC+adGR1jUcCq zu(y@=QME6)!~v)QU&lpw9*;1(Cjh`lLxTt!twROVnlwz$1WPxX4-g`}VFoatGeXng zXGo`fXqdFsT*i`E>3G?y<}=o1N{5z~he|!!aX1W&Vb^0SY**-!V6Mfk7+k%1S8`;T@t_`uBvNPvYs{w>)h0s>|`iCIv`*`P1KSfRceJUx-m229R>Yq{Sa= zvtBhO$gCkW@RMVQHGf}%MASY(^#pYF5Tn!DPf{R9_1cysR!NGCnyPr-D68knazq+DE4n(A7Lk)Cc#9tuTWPU zK>8-A-T*bc=_#OZ@%-!205AmZpUUP@D27A2H^NgRx~6xTZ*>E=fn6o5zVP2C+sxF zpg^B=w^rVkiRXHO+CN%<5miZ#>b3*9wkw71T)I`U3P;oCIqhp4Y5#?dzpH2$b5`GW zwzLi1i_tz_ebj*I{vdR8ov>PzCPMq*VAEw~Q6or^g-J^4Ex?>rY-|=huKIFXAr<^H z102<_emR)xj4?!ZwELDMcO#0~fi4iiI=FeRH}B<|3?al}{A7)9d?KKDUPc7zDP!^M z=BgxlvozP#aF0K6mrkHAHzqS&7tl;#<@$C1`FyQQ`~8utBJc>vJ=(C~yp4?& zfRHYAq$)B+1JW8ng^ zg2jKiAO9E3&{Wh0%;QERfcRu;Ui_5;V!I~=O#0*0=z6*As;D`+%J}gzRdOvu!zwvP zVzgzt);g1I_&7+*Y`GKj0Sa4Om=FAJ3Y+&K2DS9JJ zjfHa)-J$j)w#l7JDT}#TI4*>k$RtFkj;;c-;FII7{MK65{<76>bp{`hGF**XHT|NW zN{@+Eb1W2a5`cO`orE{C=>H+9_~$o~^X}TIhWgV;;Iv{By8Y)^+<_V`leG?Pdw9xV zP;Vy2K83HuINao1LPzrzH$!tgenGliKu|5lZl+?beBt0|kcFx5hXaGT|9SICDqZIo zR)UG+C5do2{qFu?@Lerb+Mh0n{L4Zit>W#g*yPX06<8u`TXZ` zvz*cbqjE}8TrauZ6rhZl7_`()EKUy`xCa@#EXG+Dnc~M)iADk{FgygA3x|v^ zTHP}{82@CcHuV^WcYV_*4Ot=su*;0ObwVp%@f4+%ssmU809}Fjf`<)F&~dC2lT}zb z%ZI{1l_3#*tqNCEMU4s7E@*@1I^Nd-dC5c+{O9!916j@MTN@n`sZ>VK|LmdB4E8;R z$*pDwC`)R{#-R0Rb*94LMDKoyYD9iPst6WR{`z~Zd(H4u7Pe-q+7n<5poZp%n^QP+ zbTW2uJuvTeYPPFKi$KLq`DmC(Wu|~5L=C;++j0H#$=iB@E1jq+D#SK{#C4GoObF8# znV|i-BSS+N<$|{ToCts( z@(g#%9q18`9sq99|0@gip!ARYE?%)o7?dl+50Aw36UFF*F)7#4UnCK6Dw}?za(MYy zF;o&%7~#h_k!!LB^HeT`oj~+PjuSAzJYem9@dy$$ZmGt5f}JB_DZ*@LpiJv=d~$%^`|#_-FI^By)2IunPXq5d`F^8*M7S;Cayz!%+8& z_6fe)+PSaF95(+eC6n~YOx7FD>QUnV2Um3Ff^sI7$-_q+m<%JA+I==SL@szGJ0s9^6A*74n4kSs zJ;`86jU4x+{*jaRXY~wyCuH>tpl--9TZh-{CSwd^w38rg)XVpG&S7)zEz!vn7o%IV^6w0=V@!sk9=%e&o=5St>5V-X#r6%3e`jI*&n>X)pk;@Dod;8Q zJmyqa8@sc|@iizH7+$%WcyKPrQ_ny7KqQmdaA8;q@)&3;$$wM^9RH zwpz%ef^o`_8aB12xh?tJzB~Fz*OrWaXdIPjOV2+hy2gy8Y%_YRz@G){CFx^AN?~4e z%`jj@AZ1?8-N5#Yhpt^geSDzlnf+}poyoty0WETyrx;u!WkG3T+uuhe5ZO7^kV4|` zN&I7?>pwgV!CGb{kX1Qiz7TbVRY5bb)gC9GmcMa8OlP!YcC?TS+89w z@z9t$cW1y75~)eTH-w^WdT4Cqy`Xb{5~h{A7t6O)aJ4HBgh}mm{zYLp6w*0$rH%67 zogx*N#`mcY#5HFvpb?WznqE9{l}2cbyw?kpp6LuB3p*SM{ckOJY{NC=?6+DM8#CSA zfx>!5oQ?42^>XKEq1^RB9qB1+DL$P`BGpw|M3?@^sPV7r8KFAL86mR-%V?#PFf;{1 zL6SI&HaVmwt2BhN-F135b(y2d0WJ#dXjG3N7H2Aa!mN(N{!R0a?Zo90e>-%ScRF#D zV%M2X&pvJv9JubtNv6Qji?C^;5^n}H#hJg9{A7Pt$Yxryh~{6q`yWgcXh7+4$H7il zU4u+U&mm64PA?A&#?Yb7#^Kc}yt9TFCYO2HP0)nfM550CF=xD7Yu4@Gg>N`<8PRc- z?h2FD5w z>Nvc}wE%_2D{8FlL7Kjprb7p}z-xj<@(yC|PQ6&vT4;$^W+pG`I=?&k<@o+9akO5u zj7#RzKx(ef#WLGM;ASvtg2_q?>JlmbS2J#`WTzht+mHb?INERsLM1ReB zIGgd~!w2gZ&4x2js^Rezw^LE-FTZ=(m|;nTKA|WZ5#y9 znKD{_KLz)FMhy|R3WQm$%K1N0xWH!-^HY)w(_3_)1u)Z;cc`CUn2>#174(F#(ldQ# zzp-*-;eM!kul6@knQ<8`?JXwjAniEkMOo?Y}; z+WRE8-zhLUJt;xJXLGJf44!VEEvHvsXz%Ed-D^Tgq|cngWPE}kzSv@|ZNd@n`_&qK zTA{lsCiz%(C?XQwe$)eO(AhvQXJB;r^`RG46>@ctMEb7KrZWhGAcpza+P+ ziP!a0wk~zMeM3s(l6_g3VHMs(T@RO==Aq&{_S3Knb}a8J(p9>Au5oIQA0azaEB{V* z`tMN!7Tm1jS+YSR0`_tU5>WHy1K41}CoFhoH_~SGoEvGwwr4F8ufm4GE}wf>H}AWf z1jdSdWc&b+j@6N{xgJlxR0<={|K9Bvt2)B|OURrQFOkq~k13LLp3}L&U=S#~ z^@0q_Ekm3@JyLF4IzigKEiRw#957nfC0hm3Fx>pR4qbrXNrwE$!K7E!?L*{OV3@6u z31hr>H3z_0#;@-AY3C3>TfqF=xdM~=U-!+~PL^$n6bBR(LL9zqa&ow;CZ949q5Xzp zdii=@9Uf2leSjTI`*ZY;!d?)o2j^~N;1ZHr$SdB3ln1R&d%mgdMK+EaQD-j9ns|U^ zA(fNuy4g z7@QeqX;{7VZm9nZ`k?FNjFO&<5cM3_39Mm{#-Jb zIh$tNL<)gtcu4dhxN*7u&;8$L3baiU5}L`0K_F%9HOM$I*{4I0==wEj(=2Z;OwFvx zBT8N3GsV{McQ<(R_#JVF%m{7Sw{f^bP32@G&x%0|JR~wp7V@NJdRoA-+ZONBi%eIS;&hza9=W% zpGBw6Wb>t-L5#2|1y?T55lbw$Dq0f--;vy)GpCz>)gQn_$N zmg0XQ`L6BAzI**YMuQ>!j6aDl7Ib3)Xz?@@V}dRwmsQzgvA8FQ^lk@F2B-Hm*-YIj zT_41AEKzW0w~i3*kBF%@?7TQwV=>*H!LS-f4~si9f^Ype^$Bm!>5ZP&)<{G?diV7= z_DSVP41dq}q6?o??h;$)$y}$y^Si{U=F6SY$Q)`eYf9B@Nk?qveO^gkN%rYQ;^xve z(clZgxQ3v?V(47Q#KM)k`q@%*V>42^ON6}=$4=u%_wT*rAtNu%4XOIkj-yxePu{zM z3h(4;L0y~1-Aa036vQ5ZUo>nKEM%=^9wcDC3m%{0&BEO993akkP_ zUm=)fvpZmtZn^k6nK;0zl&9S3A=9@opL+TuoCkCM%6f_gG}L*rG%a~nRF$nHI2wHD zEWh7gk{US>)6f*XZ&6Do*n26YbHS18rS~wM{f(#!b2)pRZ|a>~+)i`;nMtf29+xBt zs)#6AgeIoOS>Bg41b(28zV7 z%h)AULFJQaC%$*PYEO7o-(HMttGa8$%2BD|-8d=lp{J;niV;mIZq~22*W;(l<63i{ zarNZhx+ry@{dr?sBx^@vbXwqT{mpHhE!$#C=Q)4*mKWE_*3H8Wsa$O>_P*fWE?3#2 zuDp9NFCZ9TElH{ntx~AHc1d*kicc%4FMNCpj+H`-d&xfnrk$F%oIp(59OOi)-{)gH+>f-D_fq^2j`jytz3D=HD~vhBgL%0STn4N!ghDW z+!A~bl$RZJMPht2E^|m9A8YA#1}{FM!h%dOx4lE^Q307^&H3{{jYA!#@)HH_IS{Gr zbi2k4Rvn6938%?@|88sXb?>@ND|@pyot*5+Z%BQ;n<{S>>Fw^_4SE?#EIJOje+H0te; zb%Z)n{_HDVVkP{*MYKBSQ?*n2i-OGw41{ZBC8LP}Wa7-)Mbtot3k|5Ld`W z?%0wZf1@q3nZjK8$ATYMd`$~$Hn&=E!Np9|NE+K=I({NIiqw{GetqcOk+l7&i2Ee^ zr2~11suS?l>UX#chU8U${ZQdhoB7q3RimTY8=IuQ1*01Pt7#O??p zg3|R5=+)@p;5Uow>gezvp}TfJeJOD{G?O|;TdSma*eEpOetrZz&+YdrVL`2Kjh_o& z9u`zS@vy)8#b3pmJ&Qs#2s`T+$Lxptp*nLHrj`uf=8YG9T#ao{H~7=PepS7hB#Z^* z@vWmHNZLE?%&B<8gm{EYkIY>D`S}EyT1~i?nI@YfJ7jU$4Vx-@BiTMsHV0kOd~;it zAVI%?Q0T23!H0uOr~n7LFsOBC_-pk2AK#HtyW^ zXwJd)l#D7XgTP3@Pr@J`m~i-yOcP*~EKE)(RZ&qvT-4EQYFaR63iv)uLPEq4+7MrS zLPkdB5eWg5u#ysy<{cayoJDUU?Q2H-W3(1Rr!|cdjnmHc88fk$NOToS=?!Xrob#Fd znF3ck_q%oFnG$noWM%2t(`nX7ML_iFj%bjY(|B>$v>a~^c}#|p1JR(pRCw$ljx=>S z(XoDD>0P4Pjn`=zq~0UOH4xZ?>FIOx^XO=wii?FFO-OE50!3;DK=sJjKu17TBXSV9 zYpo}$kHp6B!yt=^S-?zWfiaviX9r`)gSC2Z`y?amXp_d9pzc5zM>R+H{)ycrbN<1t zXWg5}?rzifbT6|QD=;gF2080oN@q4hLVisa!MNWiN&~<4*TX|VtA zvWqniqWhmwbtSgsiU*qLQ!;!muBWld1Q}TA0-6M%S?S-*HSa0*_iK9Fm-}yL>Rp7L z$(82A6LzQePw!zJWa+s0)Q1J;SHR$qi6>*l4>X%UNqOzo0i_L@LMCvf7TX>kz`1urHx8@7SLVN8SPBl89{(#(xz^D5xhzrCat_nc%+W!1v^6G zE)8IRUq@7PVKGEL#~y7<(W$F@DX-6%O|JBm=g-!3|#zk^DUz8nA&wtz5xXkQMoZlZ8{2@0Uli5&m zZpgwkftKHel_h&F62H3COlE_@m4H>cmQ}DEhMheK!qC9eQK|bgVqEu8f+TKyxqj^J zB$m;EB<$`UZiWKZl~%EsmcrKL4>S_-XCCmp{57=!G^qmyBmf?2c^BwPTQ0Br)w6f{ zbv0oC<=4ey1lQ!YZU}=WPV1XONVfqtFH7D$!pdgQ61yf+{mCm*(H z2ix+;blQw#aR~`eBJZ1grb-oNK9 zu^%CM(EX}8;oh?lm^NNF4UyHMdqKP%i`ChhBDMxC{c9q3(imV}1xh$oDK}V&s%`Ui zKMocASa=a~mno|5y<7Q=XUcfQwe#+*ocDvTyoMo2%r2gCovBp40e6{eS)ryjiWJP*jp1F`2YiozVES7gBh$RYx@LV)o=tGV!-!Pgp7xzx7D zhIo>hft*~wVw@rPOK@zPMgJ7a>4f&WySmUU%4ytG*!socI5RF-pE=#MsE+Vs>UM>r zQ09uyeBe@!O%8ANex{-qM}cglIkfCC!@8HVq$_muPe;$Os(kegGJ4RzY?Q731x9dR zg9#7-WC1WIL(xr0$0M`75h51a7G$7IryByyCTAn{xMAh{%7RMJ^{y8Be(Mr$SWN{k zx}VWy8O z;Pmt~$xeYxI_^zFP<=L5o)6c^vUebmsBd@;(Oc`&@GOR9_RCVz zFfj(k2T_!)<>{Vwy~@$skW1bCEY1A+nz`Kj+cVM;te`Xn}0xjUC^?=PPj&5CJ!`PcMfP@NTKNT<1r zNslM7{8PuFOa;76>v7<09E(yF!uf`uPRff6P0(?wuBb2_g+i|}Awok&3Bq__;*zyb zmL1j9VnO)SB>Pe?SX4Oq%a7K3IXkX9RT6k#j%l<1c9HhFMBKqemQWEDjExF0EMr~o zbJZWXtj3&NaPQT#mN-Tm5{G=vz5S}6YNh%@Q=u6Z>_$Py$KI(@PbiS-@yAC$pO%Sp z3J4rHXlD%A3PDP>sF0qLG6Kq*Lp**4Y?0906v1GT;YEUJv;V5 zMpPl7t+^OYBwGj5Js`@6Opp5b@ngbb$2|-N>b7wb4^=Fnf4fhcEU>=6ljS^g<7V(r zc@)QV>6IrKSNV0i5>wO8*XEJS`(4<3d4+map)Y2ID^0QCX=9b?c5=W#Yv5`x}<`r$*)_%sz?{lXd|0j=icc;K`>C zvIcMI6>BIcQt*V%6MW8QeZ6^Vhf~#urJI-{L~86nm_YmIb9oCK?J@0dTr+Z5!hCc? z`BP^lJ+pI_6enN7%eERmernzH-^@!#3YUL3G@0Bd=}%I{er34xutzF>Va#2sbBrY% z(`wHnLqBhO<(<^Ch_LqZxAp5zjk)HtiA@$iJ#nqEp4%uv8WLO!@^F zS9{n{2J8IIEdc`?aEGzLi6lkWlLs@UFCx*pO;wg4dSCwy$0$7v$hst0=C3{ddtf{IpTGMzu0ax=54cbJ_v5v9+stlJ^NG55BG{hmn~^6LH#8E z&a7({Y9Rk<9TzzifsM;LPJcc!^YnJ22g!UWICRt`U(qwc|=_4hWku&w|q|MSiBqTXMA z-svha2SL)8dXMIRC|aJ_g}-+w;ktPZ_3+OlHm79~ZVR~Lp7%W8H&lFgbgG!v{Hlh% zUD)MESljx3MoEb{^FdjKWa6)}!Hh-9t~I1d$}1tMrDj`Q?HqY8J0IIY)Bmp9jcye@ zR>80i|4>^F=W@E8CxJ=_nzG*EgzOQAVZZXsob&bW>`q6@CP0fTiSUZVu(DS3EyCe7 zhg2~;S@Y`p(Mo+ovm1Ra>{Poe!E13Ta3{kls|@e%wYk>ZTP!RCbX!J>@2Fcihi9RL zSJ6Mha=WfB9G7r=!3FZgYP;NcbbM138CtQ1@r&l%g#qqtXJ$gTnrJ z@qKnvo;kn3DiYL@mB`mO?TnYc97-da18oP>ClL(Xetmp5TH!L%D;T1&^Fk+kqxMD6&%IWR0WnX=B zCWjfeBtbuGThnmwA)G<jSfoJ|PGl_@U`U5~5j#W_({Te&1g}U$WVy4xhpG=Q zH(Cl-arQSE*6gx!lXiE_l{fP*d$DI32mVv+W^LC>W>#+UwjOPp?nZpl0G^Y49D#;@S>}dqvEcWOW{@ zGV9v;NMM^3MD>Su^M`a;YY|4srBR~aU78De!mI5Xvt?FfL6**lF>H6!kEgKA?CV1t zbW)w0m3#!`17#Qfzt+AxuE+Op`>H6RXla?12&Jf`9Z8XBCzT3GnzSRdw6tiDrcp=( zX)9VpMMKe!G^C+YX+6i;_xHP>`*}V8-1q&uKYtOQtLr+i^L)?aeH@L!Tg7iwDVz`+ z>A0`Q!_m|do-1w@*-?5Z;a@9vg~ zNj`p8?RpRIa?uz19>vxf!ytEnXIIG&+=T9>Ld25O6IQDzPo|(WlV7i!LzF8{v$Owd z*e28`@3M_C_lk1#;={i37P_;yZT;cq;YV+7!c9ck6#KX4S?`-B@9j>&VmNlBsb|rP}YX za(DPfoSTv>3^);=_p&xhZ-LV|nq7S@pj7%>qprs+`t?|MT|F5`6^%z5#oj#&zB?$= zJb9S$j`%KDnJtH^Z2B(gvb}{=i+xgr-fEG5bB^_bQ&ff9ADT#+FvA>kI7QW^FerUiI!No9K&ZyWX`l!6MH)KiFO#i0hN5t_{BvD8+Zc(>qT!w$h45|-iYTbwhNN*JxlVMsZgro_2_&v|p705r`_ z@skLFrE#AH-|s@MtM{PvMzL(MaNjiNhC&tx=^-aTtkqbf(p#=e3iEUgNHWT=DH-P zVA&|X#zD|IJv{ec#fR$75T6J1_D!7{289+GC))#N4mv7{%jOOKE50CbX6=w~3!&3zqxf&Ig8ZWHwbUGq-N@s!HVuxUouY0jd=}h#~wZHE* zZL?E++=MAP2W}^;e_YkVbhWBP>Dwb8)a=DndY&??Z$bj9<(5q+d7XF9edB9s(%eCZ zt86m&wx*^!C#tP%x)BjGfXnf_d_TBZjSJ~f|GQU3wx}rv4<*oY6ttY4_fER~Ytwt0_Tt;Wz&U2hTFCVJ^3W2FFPDeb#uR-&fmT+PU1+G& z$$786lg6udPv-F}ap=n&JN|2Beyy=l@EWzdtje@coZq=lJ=p2}%DeaI@C~jT&BSy( zHeP>Mi0M_6WxX=Ld5n(l5~qiC*HV^P(_KuE$=^s{#3OlK#x&!^FE>8T@>oY#mv65V zXIhWc{6H~6l2Nhp<+X$IyR<%-8XV+<{}Nk>GbZi7+Q9_6;z+Z3nSzmqq9%U9c(jxR zZz|nurVsJEZ{6J#CL$xKlVthB-i^JUOU6ioiHT3s?Q|#5=0XUCz`S^y#pIBQ*2PmtGOQ z_sBe=HSSex>6i^9we&Caq?Ug4)iej&bLj*5fyzqUPCU4DIC<$DYZ#C&F*80Hz~DFKNd87%)ojZgnT!HikYOJy3UWcho_sXTK9x)I36*A z{6`*adEYl|d-LSUq^XrNkHD+DYR6RK1k2=IcuGp~d-UBRjm1tmxJAZcWYNGmns@VA zn<@8NwPI%Ti>LVSh)XK6E!A#GHLE+P)7LEW_D*lZ*K@bcbFNLd9Pmuj*t6VIxIA@U z$n`?EldJV57ZOVc4~AOATm!Mgs2z!{%@ zCnLLqv^TFww0JT$D-~L_?7aHnmZCuV^GL~+Kb>?-B+D{Q^pgtf)+gQZ4aJG8v~uY} zAu@C53BSA?CoGifX`?*`zeHlh2PFi>j>p-`=1uVe_jGO4`|@O-$84nRhoXg}{%7FF zVo+0R-x93$RMm7>Vobv!zm=lB+Zn4YKbrrE7!GTk*|u`7^iJ>DsNu5b_3n6oi+*-g zOuDe3Kk?*0Mw0q28Y#<|_I1Fgx~n4T)R}fUD{E#>=5^b>tGoQlt9-TzNM;{;(>E_f z&2o;1!Wu~2Gz>@Gw&%W{q)f+a0TFMFyo=R|+A9|3F^TNCR^-dh%qNjoQkOADuM|dt zr&NCDg{y1Y!rP08M^=UY^5bGV=|Q%?Ilr7r$K7C(>zDu77pz1V)D}?YDpv_>s8aM> z=JRUwS(U+PwBggzpr*lzpGE~&lsUWTWYCOXdd$XYTYQc|oPWTn4BmiuiS?#!`Ukyi z&E=g=OA~GG8od^lvvuD}g%$XVZTAK0?7pCKzsov%U4S6EYU&XJLbkq%5zTT+-P>}c zR-bBcmua$!b~gB>p%|fQ>yRAKIShsggw^^cwPwp4;X0|%EuQ<2 zqnFpZzI-y{{jX~pBh2Qwzk?CCIL9v18MAU9j2HT<+j5Id%fMQsOmx#yTtu%6-LFj7 zYLjB8T4b8Eafao{xpo8zm(>ZxvI)MPbJUAkeC%mZS20g@I}{Ky!SLMu-kthTFm}PTg{`>n@9Af(q8f9$gGJ`Dv-L#e7I@O z=cT^*zMCra!?i&*hNGYV&gEX$-ll3A;j@~*HvBQSrt3;W2?Q~375X}q!o#inl%CL^ z4!IN-GpMo0c~IfTx|yR4vJ1T@()~0lH6&SYij~bYrS|A8WA|Mva(uL0*7>7E>+)+p zn`w@zEtC447Ln^D0?>fHxuu22+g+DlKIp$=Uh(n6pG@hy{yodY8LO;Zw#VmuY4eBF zmsiATZtZ9FBUJ-(@-!w$mGGC1jO&|eP+Oo@A$e1y8mCNFEsDkN z*u5h`uD2p}OM3$2&%QLtwnu|m56yTKnv>9?1C!Zq(t05}%Ag)C+&bA@d_{q@83;jp zoQ#V~ZM>XAZ=6dvh|PUVyK=Wq`oH-4bTw_4-ZBB{A{FmR$#se|dN;xvn*CL>qy;1- zlP^C}adoMu>5~|&=gVr8451s93<+4W*-aJ&M89D6jy=9%N{B)!K$s6TCocG+ue)L`r zHMGrPc<`W+^HSUxpW4)18WZ|=OVw3B6=o?-mEUj3%oAYTnbG=fa#r5ngGc<5v(WNf zFqEZ#^`4bJKLjTkbBQ;>ERcD9<&4_Dq{1cHX^ z+GC8+@CEfe8B#-SmQn=y%~0W(hQQ{{NoY9`c5ySaO%zdzA>4>H)9VREw?)leM#}Q* z3n3IjiM0Bys3`ODKo02U?4&4g$0~zjYTSKp>E#rEdKXGI!UyT^`G;9^9qyrZ%XyIn zdu{u>f!m5|&P=q_pINDY!q{KzH}}IneywjYeMSM}vy!=;D3&_8qF7Bsf#oP>k6nE2 zG-})CX!c57ni3s%my@(>zoc>RJh~!%9mNU|IR5zJoOYT~9&7a-i7}z)rmtxWfi9q~ z0?WDt`t*f~!|eT?%+zVMz^~=^m9HA?v`8L%eKsbUJK`wcc zgDSdd(c=I27s{!zyG?w{SCuE zPMDYs$%O<2Xzn=SatKY(GX_lx9)Hp%r6eUKPrKcGx8!;$%b$rzOY!i~qVv1Qd}4_R z*d?^@>JtkGOfTqaK7XxbZ2z>fu&&G81DwVl^#pPuPbi$~~w8+FgwDTiSPj90zMCnDyB+Pi;x%7^7oW}Mhbb{${xVPV`j_K*9` zXtXH~XAMG5fod4kZz80r={wa}>+0)iC@?|&v9(JJzZfQwmMyTM>XHbaM8^tO6<4W$y)*-seyi2K*dxNOgISgE=lx@2kmVU{&Z0x_x#V}x`%!Qx-UBp; z*pX|Jcv#~SuFQVhAa(JF`u!(L_xr$= z8J_;;!0XNsc8Cz%;CEt|K*RPL_il@le#d=J8qM*Tef24;cmQ{ToT(Y?197wjGUhRq z#{iO4m7q1ke8x6>;F8Jv0gvX20dbD^6%`dGA=~1h?aST(nY94YQH6V`)7`XOE$R&X zVI^;~uyHO&CR6Yzvrf@JIyeI0d}XGBgZ?B;3J#9%VD3ty?L|=wh{m zrrh)EjJj`YGm7T}@7`VeA$Ct~OOU!iep`XdH$axCtC*=T-IDp_eAO)>RW&sl%DTOf zdreT!v&QhPVeq+b9>EOEYx~%m8?EZ@GlJM~83p`dGn%43X?&mDfcs;HGE#U<3|If- z)j|+zdy{pl5`A%(Pr>NUxlXpZh@F1BnusV-SDDvIn_>&Gq;qImBCZ@?Kl!t1r{!Mg zrj#=6p{TXY3?XaxUU>IY<$hV0ed3jcc}w(HZC_3QNbCXsz%apHH1wqMd~$2aG@~P; zH<5>Yx5T^hk=^cy7A<<%l%|{&1IT~oUPHUJ%TYS1zTY1AKvdEQO98*JaB^5(T^*U% z#J;}=9jm}I=TCN$7-gqZqdz+#)FsHu{ZZR@>=<9a$L8y}mR>-g7uf_ut$EZ{M4=ny zfK+KTb zkBb_g(8*yZQg#%$5tAS&#gfjVX-`z@jvwa+qw#fY-o(_@t#!J5S~>;oA|fKp;2nq9 z*nSg}_25=yhE|58&DTUUm$?)?WxKz9<2O2S2Ib>Q%!DRsIlL5UJc&X2u~%i>l;?!yC=q!Pt350_gGy!@x~gH1N$Hh<;k zF2g3Ro-@DX70$O8?u~aJ5DNJko~e-_e`8@9jPb{IuiMSf&yN*cUJWD{_C5{OY%N&^ z@ah{M#@wO&pQ|@)2*ueqZ+xr^AIE_BR1`E5h0s+Z9LqlE*K@&gTCD~Wi?9>e@dX0t zuyOnL?QgRAmJfb^chgg0I~0Q9&^}l^&%A*iNW5z|BlM9IVI-#BpPXkUucikAf`399 zvTa%jBgX*}3G~+2gK==meuqIOl~MGEXV6)OBt1Y~n7mbDf!)>_*45K92VkN7yCOto zD-i+i{C@cMvea{?JHVR_^b<_eN}{?8hEAH3mqwSqni-NIYgObv5$GrpP)KxpFF{na zy+4NDdlO#r^7q7Ff^nN2phQK)wwGxO@`=vhU~3-R^z`%;l*owYV5?*Ok?6daNm*z1 zD^GmIu@i;wUSxE?djGya;b;XfFu^S8+?w`~J|H#^yPSyk7J?6Z3Wz>ND%0?3%-)NF zIHG(;hm(1>9E~pn_c$Gu`!l`ZP1XD%f#ooNARhmA^vYlDk0s2hUk;rc@B7rQaAmA| zPxL+aUL0ta#uKmxC2zy|ix_q8?6C_WoFGs-3be2GuW7T%Y4ZcIH?&*h<$^F+ejryx zS>nX|S99Z-Q9b!!ox^Yv+J_+&4>u8Ag|;@ZT%I@ z*ZI997(>W?%AEh4_L}XeEKT(LrHK|d`#?m_af5eHh;_L?ZE9Lt8LSlXb}P9=Df9${ zPfT*B$3BkTs%6!*i*Cf$DE%~UsrjW1FJ%hyix`}^2akC)4gL&wgyJA20-}XL>G~(j zm4+|x-!JpHd+V0t-p4LAWHhkonfrv5?EKU>NK8@oKcD7wL!HxCBP9rHL>mi5ZLBdv zqD5$Ce!b^>A2xXVsi9A*%8p%8JC1uX@k&yuY8FoLB@DtdaDE=4^>uY3Zf!LT5H!~; zBJ{Pgqh)OECAM&*M1>nz)sF+VegzkLsuFu-*N4_lLyYUN;m%}xA_OVrI+EDEAU`v> z+in`3+x<$7rVOhR()XfDU|X0BYpk-ny;sRolx4Od)}m8O|5qWxmt=Q9LYG6BPZX-g zSMPjhLrkD`w_8QP3*plyz+e=s|2_bj&F75Z9q-BZ3V_FFq=+3S9OTj2@rZALtMM+> zZU^@FI$Zlyq=R%E5jZYV)0qc4a7BU1t@>R7sV1%{Boy-AimkQ?=8@Qz=EH{AxzkWK zFclaal0Onfzxw_%_+D>>B;CL`DkI(vL42@Eeu}~op{yRB`fMAdh(u2i=90j;@JP!- zE4};cQ;0?85;dg|`#AJ{+(hC*g#NTJLSv9RKksvX-C7uv$DCFvhbTo&&G1?i@k2kV zW3NM~_OPySa^}jlQmavGs02~9X_i44RI6KCjfyXz2vPwNw6_z^_^sqYJME=LfTVRx zIr-T}zoF{Ghcb}LB*r*yt|NP*0Z_h)kgqHUo^0ChM-cnOF^=MBlN8imYOSiOsv?O6 z5StVAl5HINI;&ZXt+B@{otliVyFlg~VO+b5J)Rr~ThzK)6w(bl>l#<8MV#Ng3c7>% zXf~KnZulR^k^h~rRHru2C|yNg9{o7PBb`)otgpOEiBQw&`tEl^3K8XXTOgO?7&& z$^<_>p-0AVCLHHPg05gFe+7I+U_!=;6qKztK>&;*<{T%wG-VL_%te*Zktc7SAyM#z z#bOl+P(P(%T|{`;ewU!cBz58YGMIAWDoHqikTv&Ph)h^m*y{1I?8$f7e~@X^)YbJR zDF9(_hQWh~-X|1##s|N!LDXOiLYMnfZD4E?C2vDOJhs{o0Vnagp1qK+@g)&6>MO*V z#9x_rD=RCTy0sTbRg|#$ISZl3h+u8W!H~5|@U#dLyhvz{q#|%4>tC{jHebJwjYUMT zVj_a5G6R?|k0c>5H#hfclazfYHB`LdIXgcyEU%z|rb1OoOYW8=$zdiBUXK=MRAh{r<55}gvxH)rQ0WV( zQC74C7&=LWh%jX;&I6L^4FX%Xly=!~M8=Dpl7U);W6u5IB>@rFO20%WcMQdlon|S{ zGd|SD3&901ST2+jGJ$NRN={d zu)Lb;UV$1{GVFM$+#fEa7J$B#B{s=G23zpR9Ur`xm}(0WR^)aEZa;=(5$-WLHI=D)wc`)E1e;z&}_Oncx`5U^1r$hL?? z6GGWluGK_zj)KmgC5c$Bn`BJJdjLBt<}{!)d}SDEEYKr-(gzn=n)m&7l{LtBd^B0R zSgkN+Xjozcc7C79+Ppku2`J`t;T%&}A?O2Tvy+o6K+%WFI?%dVdn}JbL6ZKV#v+nyI$ErPp;#lwa7wqQJen;9=Zl>i?+0WA905Bp0=CKz>T3Qj^ zP6HtojZ7a9l1<8-%QiG}>xm3(3b=7&BE;O-)~R>_asRr{X9uF5#4+=}&6}Nbla0?D zf*`ZRKX1h<5a^78E-Mg?(7xdS1eBO@byCvNBW47AUftEsAv(4WUo z%#Q3$d;B=RZ(`ZOHcctb`FW`8hy&%w$G54`_@*<0uCShH*m?x)_kfNjQo^XeA)5sH zToV@HLR%Z`Ut#4_!))n=Kn6^R8osc+hDs2OM>o=o!1Ij8BAiGfbAn7l?Hk(qX5j$M zE2#ASbb#v1vvSW$6mf&ahvB0#?yu!OiWDPvXo)iF+pxlq>(J2&|*z* z-(QH#eXmZ-MP8d=vt%CA0ktw!jcDG8+qJKS7aEDbf|QPf?iNt%Q%hW+)Rp&ffI-}K z#B_KR(M?azDidMc4l>tuH$jD)(b<3_1u56qo#^To-pU1PVh% zlO_qjIIIZwC919MOGMBD%KdTYyvTsdqsZ{^uD0MJlvr`Sof`47{n`~4&%2;+wQ9<^ z_CQ-v|E-tK%Pf%aw0|mwy)#4E%Tvu3iX+7S6wdu=flsVL%r;AFg^kMTb)MXx0h^$D z2@KJ7DDx)c+7QKl&9tZW>iD=L{2-<=JCP<&(yzm^yndR~zC6+5)L68MJ0lU#c5;${ z^>KJFoRbL81#T%i{4)Gx6pcl<=lh{~VUEgX^tcQ{trd`r-j7Fw@VzLOmSk?o=MSi< zG0M-4Ym+zvMLXZurpu)BIS;itc@yR@?6xFKahR4+aNXBuFQH6HN~8l%GH5AMK7-6F z`NhO#Iyi_CmzhxFfagcerq``88u2a34)|E31k{Kk%@0hKMsC-KMD#x)O>M>?_9`jJ zCnPuxHnVKFG(to4Veq1tLQM${dzotngzY;q_2={MbiP2xgQzdo6;KPjidx+4c>Ph- z(hLfmpC09gPbJ)7E7t6g8txp5I$`_zjqeIg6O#~}es}K|F)=ZjUNRI(lJAJ0gUHXC z5@c?e(reeu&o?(W7j+qGJuDd)>F@sr^UOH%59|9!aQ#!r;HRLm2Cu+;7qPfV^a_jT z+;Df5;CA#D93?iNs1y^HO;WTap1H10>+Q2(c&=o4tlVEOTR=4A`Q?>1V!k diff --git a/correlation_heatmap.png b/correlation_heatmap.png deleted file mode 100644 index 721dd1c459c3b21f0a73636fb14152738935fd61..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 99233 zcmeFZhgXwn7cGuD>e$DwAYehHBhr*=0|i7nNR1e&A%q@!tSHik-a(}kdWQf}6d0+} zODGBg(xoIoAjv(i^WE>>yVkvbz;CTz)|xd4$y=W1oPGA*=e+UPynpAwUiQ6gY-|Tq z?%vjBW7~;mWBcRXpS$2U?#h|d@V{#=N)KFgaF#B3b0-Tnb#oU7JDiK1&7-q!7EaDK zID2uCt0I?$&RV;;I5^9Qiemr!1`(W-m8fK4DG?5`$KkG_GaK6>bL78mnTi=UY}?q_ zRBqqUbx)WZc6HHh9Bo|Ec<~3G|NheU`Zr})k8K{u^NG}_?UKVjJ+T+dpLVz71m7_} zqoLvFw;apA{rz@N$5hDQ&GwHk-t1r4biLnJiN`Or%nc1B4&x@)D7A-P8RO#&b>)X>Ld9QRHl`uZNY~7}4(d50y_}q8rz!m2IdYV)S6tkaLzCqzs#g^kPp z>Fbjobn!oWsTba!sh?{!U9&dg<#XI+d-~#Zj$yHFbCmENqvU{-q5|lKK-JLmN)hdc z*d^|=wpKz43ADL^K0Qe`wuJ4?SKwxO3V7AyV&-u}6AA82Ka-Q<>v}`u7ZrE%k~Xe_7qya5k;=HoOyj zrlTuEBgh5Qm)Em2-YDrqcbWJSKILk_z4Yzd$LI8|m3G(J-rN^?kO}ugkf`{;@m3|A zmtEX4u#o(y{>_8k_-Ij-y&b8lN;&S_{s$`*9NA`TeaSKeIbDs{n*PhZ$KP*RJxxwd zhC9zLL^sZS3BMFpXBk?K8#Pml64FY)7i*?Ae3(F67*>0DlI@A~A3D;ot|M$g?2=)m zO(Ki5I9RHtpr9buw)pG&rz%fsb|LHIZf-v3$(F)wwD)vZMo3$dJZ7tAf$Da+6wVv7 z)6LYxq?=422tO#e9x0&r#_fcA7>`PKx;lrjX_YRlf+QCiznDa)&RR*upJDkZZvA>b zu*t#3_F4FMyyKqiKYb+=?ytf3;lsDRxyC2Qx1xlNEz3qBJWfsRoN}IO<2=AA(>+&s z3H&`mH&95ULP1#_jZo|DrDEN4yS+Fq6G+LQ#G8}&zcCx|u`K|*Id|L0XW?f)z zR@czJF>xb!^5W3*}lHO z)8afT@7}$GON&(4_;Hl9>|eoi>+|W4>1_$uQaEMZtXWJ(mD_wAm%L}{C5@zi;Bz*e zsao(?y($+QN!#v!W{fHT1$rQqE~-E-cEX7R=`9J@bRdegvURf}1Pw%bGPQ0U;E>X7 zir|+tulqwi;cCY}R*>5I&C67353IV&w-4JAuR7j@5b#|68G7^9tw#B#@gT1zqW@HuCPju4iedY4_$B>cM*V5DhdSWkR$@daK=+ zZbDRd!PU5oecpq-aoe_Ss?j2ePLnNJZ;lJjq=YEEiH;8!HY&OM@#Dt^Us&gs-nLQ$ zxJJEvGx^~P$6INtkqEr#rrteFY?Sw*>k1m=b&u3|xi0@uk@sHLgwLtQOXU_>wdWmD zSicTwq!)bVTF#`!V54f3P}auEl;G8?4HusXnW@{=&E`7Hwo z@eBVnH>*Kh7s$p;z%L-rFwCtD%jR7%5UR+f-A|NBd%5pqw!`;2c6m>ii21(~VP|KG z+Z6&NKCMD@Q~~NBiv$=t4JEGk$+jIWy^%q=kchS|F=AD&v-%O#DvyC>x2<=3!x@4mKdiFpT``V&AkG>Pmw8)ZLSmB!dy z!_>XlW80k>TD!HZM%wKB@N`FOl)@5?7FAweevnHp(~~-*(YO7=DF z%SZJAo>DvRaL1+{I&h!|Vo1`alV^iYS8fumZh>9E0J_f%lgbCnu$aEtf*%b*9Q2K; zgFO@@bcx$oh!b+zOZ&t5V`Mdy3(^ChS;U-Voa0ou(3U;E7}j}hWlI2 zV>uI8M*|ZM=Q`PPIz9w&IPKZ9XMv1N`_wY$sr#i6XoDZ@b>VjsxDh!Y+JKc5cQJm^ ztoTD-)_J8jd{D2XrY@=g64{Q{)-cz{L#%g@w61w9rvgZ(!B!7OFxwJk;l>kt(spd$ zu|v{%@}BGbU{4O(wV{X#hb`~X3HQsk!NFC_(U`D~?t6GkLAY{}E% z*L7Az{9J#B9gQ}7#cl2ZK$UP4tO62(ldbU>fJ&)o#~=S3F2z!$;19PUVGJ_vCm#Fj zufMQyP*H54qM>(%KeeOpUK6<(LgphSt zVS2RUCAFw~t~1?YUQD1r?3W*2PmQ;b#185LU(lZE&N_bPj9tr*czLg~`$=*(slx^4 z&w+TQtc?;zAIaamc~j!i=hxQB`G&>m>iLb`_)(t>U`y3ih)zf+J#k>UqaeC9<-aZ>eu7xXB%uRp$oqxEWeOe-92Ks{~njgzp605o|pg$aOtr7n(+<}ikb zhkHtFbP&+>SecA`_3D-VP{q3-4rwGu8U{O&iV1gC`uNL{fMTJvf(b4m>hquUbjau4 zd=zfQ@s{8IjyOq7ppS-zh9qvpgxhB|ba}E>5Rb7@4`uAl z8MVH-NyLrTRuNdWOAiK$ET~J3+(he+_eka9nFdZO<2DyF*`Ayao2;^p(T67%4 zIn!>Ss3B~xn4xNY9ORo4-Ac3m&GDXWJ;CFmW+wdFsb3)&O0C+t7|hMZD({V=-*j~b znA&7pA`y6%p>T#lzS;8Hn!)?q{(-fTq9}#Rii%U>ZqY!GQxzehAo5O59N5_h#SFHC zW3$p}LK}b_;E&&;B}NO@5rN6->S_rft>^>PSBJP~NQ<>yfLQ2GT{gCubBILw<(Fk# zo(E}Q^T$ItVQ#x3ORlL@PCZep^JgO0Q zfh-t6$RYLKXJaB7VL?k<*?PpBUHDI;$x*4m3W>16p0l~-F7tzu!l+skz>gw#@7q8J zCHF-f7kZ!xG%?6!+8s)^UahwW+@%>p>!4HzPD$ZLa!!hx^;f^R31mmouK#jnWo2xn zalykIJvoLtaAe6rr;X(a+x~)gJ#PMOuoIj6HtpRA#NurtNT* zYpBA?d4xQIf=UCvWeVsg>6HhOE?`uWIpQ(J>BC~IHH^cj{jXHW5}4j-S>rN0qiXj; z?bN&GQM~wtp{7LHa@(HlG|-Eu#an8st6gB7t^2O-V*8*k)QqrlKb0tEClKiSqdsei zh7bF6K~SG>y(eWVIAC`4(tQb%3lmCB@Uec$NI4HD_1G)*bAI*^76H_Wt?$KmKEa0a z>Te7*wYRt1O%}oh@!n6ccI376+kbksk(6RC$;IiiPEQ-lhLqARozPFc$`o;SHbwO0X#iNL}IG~Ygf;`9FTmoP(l5hz)f(i=ro zA1>oV+zJvTe^i;>KzEwjNn#^_u{9Ju%SD~8*piMfagxLy3v&|_6GUniH`Ybp5VNRy z;V=C07i8lMgjp{lVgR$U;6MG4ZEPRd|JBiNA>pPW2&8C0Epbcf3Q+bWj8Wp*%~@S( zY8m-trjbtiy$+zbJ!M$q_*pdjnJYEs@fR(cqk?D+x-?{eeK#gf3Y%1D5*XCz)<&iM zwgcL0P(t`owcb(_ETF2VDNqeMM(mo8bbZL<0ioAEiH3S_S;k#^@7BFa(xsMcED66T zMG3h&I}`@Ymmg$mL#=S}IYGVb$CB>c!;ZbTg;=i18ix)Y0^{W_nL&#O>HbcXywy30 zRv#4wF=zR)dA$fXs!;62E^TkurI?snK%hqm8~65;!H%&Xt;H_I05(!w7A}aW9O+R% z3aE~;L#zv=FhAdY=zXg=Xl_KwsYdXbOO2mld(waQ-x_r#(Qtiz35^}Cl^-lgSG(fw z?%sb~^Gy?YGp@k97{IS*I#ON@1nPD*X9yR%x?xTB?%mr7%B|FCLKVcbP^ZOU*&jp@ zmNw2F>Eigbf`KU7UR1MWLauascwH3lpX6&%JjEPs^|wDitVm8qpbG$@U|CNj3+J(Y;JYf~Jf6AR^&d)GHMrlI=8DH3XT?LYOF zz+&{xc^Hq*79L)bUm5XQ9B}piyqfOAFOXgwF6>|7hI4RmNR>zz&rK_EO%c@3$%LAT z0kR0J;z2~?HnzW_|6@61n}71711AX@NJnHe*m9@%hsPU3T16TWiq{(5g#rrG7{c8L z_w34`yCMo)+J5Nu@{u17Wo?tq5&Yrm(~rggsu0Ek6g&ft^AofQxFWqkqJ;8fF>1r0 zT5X)=@AXwjK6dOib2;B8VfXdz(_xPn;--UVdCw<_t1-@s#O7JWT~s^a0ej%;oo7uv9_)R0>y^vTujd%_*?iU5 zD{0_n62X4RhBDI>BbK5*v4icQ;J=BKi5OClOo-*jV*`}j6MTl$cv_BG&7j?vU6|;S zSAKrBfCzEdoYO&uT9k5$h=?Grl-CIqNQyaCTmW3B_1I^Bo! z=mA4qtv`vn&C&1b?5vX{=g|$T>a#YCAFTBuU9oDj!w(<5sQP$KEUG0@)&McGz+_7~ zFqf{8YzF3_E)+2;$cVD3z>bXBLlcjEHB*xqYUAHt_AwJ+yI}?F2nqT+Xv{eP4!eP$&oKG7AOZv9Ie`2dgYV)q?|SN*Q|f@s zkamC2_U1^z3?Qch2*m<6m};1_XGtMsJqcU`f72<^vC5DN`_61|Ya&h|xE4s- zfhPF^ehk#@AeUP$P*LH;_uPhm9b|iw`PaYeR!JfeeHnB*$Woq{I|qTVp>r5EGMK*B zR&_vyV5xklsEDu9;0r2C(xT~DalDq&rR?S)RP=`r*FiJa%@vB)uHQ_QaV?Tj6Xm6r zS*6c_25O;=dd>=yn#F6*#gWP6ferOP!56x`Zz0dPT%`Bo@GsxB)oC55X#Mbr3GB^%h$K&=hOi+0bFON1`x zsB6xa@wm9--1krcWHKRD;gO1iLjgqFN#a?|=d}&1WFJeNhtgNCUhVYoWy#XGkq3QW^#7v?LA0SAJ^bOWvmpbKVgT5bUxJ8`SF>fr3{Y|Kx; zdrsBgou=BbCnWYC`k8dixk1R?W?tDA`WaFbQRA{4^$A>m!ACpAGR)&a!E`EZX{iI8 zsTQu{i6UokMB|^O!3iyIsA*`lpUO34U!n?`RrgP#K}eu{Ry*z>JRNa*L2?c)EMI_a ziX7Pg>)W@7jMXj;=w$!~Nn_eUNN2(NTG~A7+6A2RigA2zFY_?!d=%Nb<9vJw)VUNO zM;Xwc(y(ZX=zxRS;Wxy5$a6p}+LINfy@aaPs?yR>bBHi5-ePV{amOp7^UP|pAwAhQ z4T~OY!Fr76*hk$9SOZWqEQQ3As zWUr9-T+IYG(c*+l>)+>|593j5OG|}ulMu%2vTixZ8h_$5zMUX%tyXi<=AXaMh1%b> zP#b1!ZLQAcla18ZfELccwg2wtp(W5IKsuX}70HDJ@biJ7HqAI93IWhBhygClG+x^!3BPh6Yc>GGwcW^e%-8`6p7p>3SI+kE( zDjdgKxB}*n94XW*wp1@pld|&>1`Ew{u@vF;?n`5Zc_G4!(U3;UMqNg4n2aNivHtxn zzgnTr0*AGngL-!h_*S{6iM4fR?dF1PaS>{&k^qvdRRP6hZsOvDNsi-w1HSj7oPggR z`*)c%kr0pHj~ytg7pkBXn18yvt@t%C9CR6Y7>@&{H4?7A1DwBIWv=!4iH&!_gGE5y z84xcW>Ci}w1$Vaju6XdpY1kO4$ZOy^wkFBT4o>yu8e2&buK)le9-z9%ogYwApv@8^ zPXm^Ofy&##b@a%Q_i&*2)_ZNRJ#o@Ft`wQu5#R~jmG)#8d-MY8oxStfMd-aii!k2s zNrCsqvR2-{`S0J&dwqe>A|`JA#Az-$_qUMTr!Z92-~9}57UE}4qK;g;p99%*dh>gJ zeW%k7D1k_oX|Wt5ue8Z#o7GeePu%e)-%FI~84IKWre^^fhdv9|UR|WVmX<4~a*K3K zkJOL`t_Y4d1a;ND+?S%x4RSocmfkcs`8U!g0@Ow89rDu6)>T1D8;u2PoNHX(HYNs} z)C(0M5NV7l8AU+_^g4{-xdR)3sSZGKAOmhQ#&nk*R%Mq8V!{nD;S4<)8r+;$9j+rJ z;rjI_hmmkx^R8?BAn)boLj{{qPW56X@*aG>4Y_dwlJ34j%`nFn9 z8uWqMway%ay+yjfkS3jQT`4s#h^@>HMH8yH6)ogxORP9%^=C&%UgXfbTf6l#H9z)4 zc51G){^m}luPBB=Z42+5%`_J^{=U-HdIyG%-YD$IGj&F?##z89vu?`ElVO5Y` zIT*KnV43_FA5Q@|1w-W?xY3<}0Nqutn2n8%(~YasU5$AhySKCbb-cMt7V%~ptUFWv z4}ZOEYETSO1;7#AGY%Rt9c(=tC{Dkfj@M3p#H?fd+L@Z~ZbCQc3Kt2Q8mXtBE!BVe zbPGHUy<`QSz$ars93&jRT_-m7W@>#BvbJmv`Ut@Ej?AR1)z;QRO%Ja>T@r@0pTX>F zv90ah&mnaWu*j&`GH5AAc&ZUt8r-~ks;k|29jxq+nHk%%T?>G6i1xPl=kFUARUf48(`@}#*QRgXr6*zKBT+eGTIrEAU|? zV3YgGMzSUI^725fCeT->(bYKcpa6r96u*6}D<>~cZ5AbG-VHr3CO~@l@!8DRch4=` z5^Utk2rS?EQS#`RBdofBL0*E}T)(-T8%VAi28|Nhc|zDo7mnJn=?Ge}L7f8A1n(hh z2Td0>6gF;$aLIQ<4==FMZDA-2I(J5LB3kcnBk>k!d96`D;DoTtuWvVU9~9oy?$IOIJ`*d=WrJJaD4vydA| zthaKFLMFC)e0~XkvWEVdRK86-tWOZPB4UB*!o>wPVzcnj7Lvg9=I}i?N=I6fU^q#3 zf_ptNJ)MONBtW?;^VszWv>sx7-Ih^wtOtGwjz$ewCdaex0}bi|$}53x*bg?E5*Scl zK|8l@CxMEw9jUH7A!?Q*WLWe-SQJV$9ikRNqT&_HEMEwfUTA>of~mWSdMJl*0Hk3D zjX=t(5lf7J*-wnP*B;mQ|B^f8?Snc#}#ql=A$6@s1i493vevSZQMj z$RalG9Cv6yK)^2e09?KR+?f=o4s_gw&8n|<>g~zz3Q=St#%EJkS6BKfG(EZ?$|T%> zeRIz{&Gy0YcU$JeQwf{S+t4$SqUogGeFv~Y@vhFu$nahNzPr?Z*a!$_2UHiN7bH($ zn!vD(K6GWMGzyLgK?4;tYVUCY9)9r9foIJ?&(D2=?^pd_kGT>Xl%G%>X>y z1H9~oCIIzk$AvWYczy7{^k6sy(S7mH-DuX}5h11)T&oRi6#{eK-rlQo1LBBLiCB)% z7a&4}WWqJ+_ZbE6gKYtOue8MB`^{Xl8Y8GY`Sq&+@&*9-t3XI7oGz|-yaBWVdSGNE z*RWU_Z1zqdBdfo@-`crrmjLW@6Zq#a%ao7UNnjNhde|&A!2kr(LV(Iv3QqX^Kyjlx zLP8LQR0PvN(4{hfKDs`%G9Hy2yLB7F2br*e0f-AoZx3n4gIonGUmVN_J{WF5U<#Hw z6<8DzPz$DJk}O-}^hQQT!cw7RWq~Q8wM%3-STWmo?zM&{7U<~&C`>%y<{<4akOX?r z?RliT2GwZh(;>xf2;&lT<3UbEUlU+_UxDx-vlJ8mg#Mmq0HYj)VPTB4_8CW4SLl4y zbiY^Hhb$5F7Gwy_YAywDKImJf-3`473c%pwvz?$fkL%?cNh(X5{lRutM&w;#Whp-Z zE?dS5>{g<@mp;_X9yrg$)KmsAKz``?Auidsy1~#FNLDw{4@5Z2O^%OW zfI5k=9Z&fxICiJpIb;E232n>34zmm0aBzb{ z>5>O{Q56m!7mEHnGwL7%3@Va{84|T~fU1s`1vBVdJ9rNjM^JTSz7mIYTxzv~jdd;4iD9H2&?#y>@nS$LHmHY zdDGydO=VRTkIV4{qr2AD@XxHus;{i0ox&*Ai@aw#%`u(g?}*>JhfWcW-qXB{#@&2B zdnxCyD#A0>g)bb}orcz%H*Jnq?b6!!=bx9$I~)AC zIjZ$R+;ouLpuXG zr0)YY4dsFAb|2c1MgLoPpqBg)nt9~kyJ2I~+W46gf_w~V2g4K&9X#gqXm-N3xo%+tRpGAG-tj2fTKFZZSQZ zgpIv+eIj5=tM8oiYM*NUi@f{QmCl=G%%rtwx5dGC9MblDy6+GeRE_4(NN+XD{3iQy zEGH-Y607H#hqLSY*Bbyp20$P?jAO-#sy(*0ojET7d5?`(H?m}u#aS_Vo>UH)-5|V{ z8vZ+fm(9c*3o(HU&QU@}#l8Wp(~Cp3xgO3_FG}aBzsg!uufRN^%}SK#B@qhkGnwu+ zVgk+Q>uU>srC4NCAkD~C5^L{8p>J&1Opm=BEbvW)39_>UMMV%+T02KP?tp`=A8Ff@ zB2SBFaikt^X8CI|iXVT;F6FpTK9B$8XZ_{W^lSpH48j7nlq$dV#7^{7QSm#eiPBf|^COwmufN(4$M) zXE48EIkCmm-bhgE7`= z@yEJ_VHUdO<~kFttozlG^Rp}06OE<57H4QkV3ycxBCiqE8;2|0l!#Fx-5s~gs+?!j zZ{EBWp>RvNMyDbsyN7xAqFQu7xeTSrWsVyBYoLoKxN$_MBd{itsISvyDID>!VXYBH zo=P8gZ0Gznm@(UzH#6O3g&3Aamd$yv%0$Cv{icL#0X^Q&o8~UwX4s1>h1zHXE4+asTC^PN zWpPLcy<)<2d+_Z!mR?=0*I*YbTEyt>j?J}cFsVH)J6USc!ugiMIcqE!+RW0I+-w-p zo1NqE!hW|KWn5TZS?O9PL|M;9slz}~m^T-l&#)-9De+QrwmvbBw>3`Crt`5_UbJM} zAnOyD05|PiNY5SgUc#iuj8d{amy1fk*5HeFd_S_Jb8SZq>3sF2s^t zX7iG2(4%EX8-jYcyE2UID7ZU;x{`ueuZ>P6>U_^Fkkvs_>XF$!tBgY_FuAdOx4nL5 zw`FgR5r@*R0@r|a8ILhk{7T`a3X(@k5JT}`TgPWdsa4kZ!k?@}6pg^~oFt34GZ;-u z?lA@@)*-r?c9*HOUllgkyN~T4qbTIy0!3IwYB&C5YhspShPtk%re=vvldq=X zj$McJW+bM^a%#gO#L_bUT|jev1uvQU@BOk}O;+ui91SA_#mujt9mxWGe3u6$78d-w zS;eB=^l`V2^h#ew+%CdW*8M~|^TO(zF9UvNpc?qqPEfYf!+uQ8j722Nm8 z^aJd)ph)KE#8KCf=S&u5y)bU$)dW-V2We5SG>!_tai3+7M>C=}S$T<+p8RMZbiVM% z;b@dRb}Vp|q0T9X5Kwj)`n6Y%=LL|VZ$vK%=vKT|_wegK9O*d86n$CB`kJ3x&iaXJ zm`%J{R!VTvkR4%TnX5D%xc5`w^Xt)C?%!x0OM0COv-x4EVHeeGVGg*kDMc$q8A{T6 z;(^t4TVry9A8iYD)8N9$JcV>;ha&e|aH~|bKjQaJKi_+N0;cgVygD@f!B=!A3{Ve7 zs4V~br8$*1j5g_wP&vBVxSAEl15;3XnGaN61{{kdCnuNTDDR zkpiZ@lhy4B3TYafR4KDplBF|S8XhYX#r*R~`@A-y%yzgpeVjHwoFb|?i|Z{rE}$O< zvpxs8Wvol)yT6dXfVE{>RbP$0#FDx})`&kpZ9&n`&N;6%5{YuBnC-<-L>1=q`MX$} z(^s_0=WD$1J!xpKVKPA@EMhvhT(_p-m1;O|u87Ii{M>kH{zLOq(>C5vAtir2zbbJHe zv&fr8ES%&tE4gNl)sc{rnQ+ZVHJMgg!+Is_MK38FE^yRAxbcauOB$hdlhui(EMxH> z#E;4krPG0Or!jpz2YhPLW51sIuwVP3_Oe}Sid=^toQYEA3w&) zI%glbxUAVsGabvB`}^;|f;OjRFBD*iWGmJ?L!CyBO^@Z{nxSKh{2t54s@$kWwD}>R zP}e=?NAhqAizyvs#=Fn{;hzm_u-{AZA-j~;=R8J#6i`hL_uH zj>o=e0p~MiEJD)08}@hVTTE{+^X|lRx=t>95Gj>NZDh5G?A#J<8=|hP=zI#Xh3Q+_ zu+*fQ%`CO@1t+o7$E55ZWUx5aUp{-beF8e~FVzhAG?J>_`X=ULyKINw`@=x-4=@8! zjT+jOYl@eX4#8~3I;zo{mUB9+j%iHt?vc5u`ommuk&{wBL;Q%EnGV0yfTo$n9Z!U( zuBg)+{y>G!snAh1yV%7#>4X!g>R$#7R!`@!tT~oK)KGL~q`vZ?C7Nd_XOn)wHXkDWOqg)X1Uc&?Z4xUX1d6j;va0j{?g0}++5LAQl>Qi+e4 zDBCxK_8}Y}=C)3Wa$B zw20%_DLvvmQ~YKrpkkY6iV&5B^F<<1`DfXxzAGKAjLU!sxEV{9v+r z-Wo6nAH!nSSRux>Gc0moa;norYkS8Fh^w~bd^$@}Fl7Or{2|YDEm39@j_y@=yd`<|pvArTo2+|3-m$srf=g>;qJ}J_1&QmeoV?iBYw*`uqjSvLmHj}xx07Y`&i$~@VeSR_OH*W z>E&swhq=s7sxyjR{Ojd*Y~L=y>=TXB#>e57}+U}VhNZ(?@m83%cBAlz&#cI;VCA`Vz3zO(vENB z3wh5U7`&mDBaNvje{*v!Ae}*GiTMt4yN5H@QZx!EFp2L9^8Hl%psTXK z{85{S(MB?bk1}ly{@mQYxt^8mc1AAwgJb|I9a9YVDm>`YYFwrtS7LMV<$(e)>Pm@c zP$=&C{#v~-WI$OG*C8`lGVE0wH(%p9vCP-?0tV-X2YYOF$-$OPF;f`ofU!BPdezAJ z>}W}tHtWV6tz+uU0eF~?`ruaTn9b2Owv;y06ddJ5?!7@bwfz(~3b72^(RmZ@5N(%l zRC&I0MKDTOvdow;B-I(x?C^5$Nv#P1y^AVq3nM+g`95wvhI{w9sGngGQwz!%ZlCX7 zR6pTLNxJ6K)bD%gAmJhJ16H|9u-!ZhqfgYT>8G+TLHlI0;Q+A5n~wOdgZ@lzEtrC0 z;=Z0lo}usyJl)eBd>RjzZbY&yW%t&lJm6}muU9%QXi#`9BxbN;QjgoNqs+NvTETYc zW|nqFD9`+Gsd{_T0G{j9Fd2UbUCUBtRF#FUQ88huIRnlD7+QkVl%q9^3%yAQin|jp zf_jP%l-ZQ4$ZyPFdNr;Z-kx+{%9myr^1MCC@9e=_K*Smb^**>0eiSl8TM3N@2+2*;S=?<$)pzEmV_K4)55S5{bV7|;u3 z(v3lwYW9t9QDrUmj_a{d#Z9U#oK+>OT*9zw_8aq`sh?lQ8<%Om*Jusj4;0%?w2U&I zLu+%!f{Ck%G_3Jl3y{Ln=C0|cSPCEKTMt&PH5mN!ZbOv#8Veq_8Q-!5-s!no)XC)b zD`j~(_A@`k2YwUzYj<3)P!`}Ezf#fXu+&c(d0DEPVyx+J3(q&#S}hMA6E>0?EJ1pr zI#P3aW8gkE+|xInA1!ZR55Z-1T0~xT9JB5^;hph!r`11aRp@K$Vra%SopO6m%&+L= zX?RR0wIEgm?VFhC#wjzPCyG%%$ej*2p`tyW-m14;qbVB+K zN>QKv{{7upT3zq-zWslG{a8bKua5bWlXbMzv2`yxU29^dRKlK)QjJ%5-s;ivpg=X; zO0>7{LIWRuWUC{6-+=>q-YS~Lsp7_}Ke)ZPKUcFB3(Hwv^;#^#Uw8&8tS!k$lGb4H zb?8JJbC^KxGux2!=HnM~PvnUsq{38c25NQfJwbxH7TXjrN?-b{55;lKYd$h0WPV<8 zIRhnu`>q%#CvQJEYEw}mGsz9MujBO7MRA{vl_Pq#YsL3bRf%7F{0%bHEgv8ASTiLy zYsUC)+ky?>Z1Oza{dX!p;6!m8a~S`r6Od)*Gr40lZ2&rht;Qw2VG~5%QX^N=%;VOo zQlcw(1}f&L51woDxRpY;a%`ai_7RSfBx5sJR-c>sY@uBFGtRy~XvsjzEsH~{m(#J|Ibk;PVr3FY1L+~rQtI3v_o;MRRUX%B7meW{j zuMTl`CyTTG<|(xvFoIcL>(V4GN9c85+nVVo8obvyWnpL#G@mmtCp_zv zIt2sF+OWty>886a+LJ!zRrR00eEIs(#vn-=$+z=X7Rsy^v#+ZR9MM`M+%H?Xa;#-| znWXS6y_DFHR%BRY8B`J#mF7J+edsCRRI3|LmhoEB2@0)&I@>^h4}b5`NU7~BB1HX! z(rP(9G<-DcMoPoXa5=fNwmR_ZkuDj^Fe~50U%@=WA~xXysrgMhtK2qM3M*ocKXqhwk?@p zQyP3223zh584?-q>_i!~bG`ikC{*-80oUf1A4==qet;Po! z(Y%*Xofq43+1JML4QQ;4?-5Z8rFuK>f|ZrCQi~x%ZoxGM>J4UKl%zqt*mR{8XAOZ7 zahh@%w;hpma|6!(5^kID-2CD~Vnc0de3BSVc`@j;7kX(}Tz~4HsG^ZKn@sK=^?&Z= z$9b%Os~s$RV>#CvtLC%In=6CW;!Im)o@^smIi1}qp8nbK$*9c5{~)*ATX>#?Po*=p zDVh9shPimbN0)4#5Ud1HB5Lw_h}js-)eC0j MR9SU0U72g4OaoDSBzg`Hy+nEq zR2Vw3Z92BXkp$M91~T9PO&plrDtM7)vVE{%GeT-k!9xB!;q|n|)7X2y5qB=7e6hF+ zJ^KQpP?w>cqn3U{V64PXL5jWIiK9gQyvx0}ngKBDCACwI#FzQFvwVe`ioCOQKNrD( zpI)!L>}^Gxh>R^r5TcuTDG+|EJ5>&appU*Dn=w*Mp@7RBNo{r~Z8X6wAQn&^r6E$=O*!71eO5T-At@YKbGs z@*Q5LXk4&~e#6Knm`z}REHTXXt^EwmpWNEWW*OviRkGrlXxG(4z-WjDs~)To+tI=R z`oRJP+F;!PdGl3!m`3cCNcaW8p?H3Y9&4s*Wy6{7@ExCXP`0<0)YXuk)8}Ha?tly*~+k7pIN29%fJLY?%@#fRh?CjZO zOR_CRM5-j$hE02~@yQ(YR31$6muRP}QkUCiIV4s>Y>*zSy{8uu-)6R1rLIWB`IgtA-vFA%ExK&YioU@HJAWT23zyo^*SjZ7A+* zP_;TubtD};v69YuHBjK2tDpNP$?Q^AMp^wraWvKf@w z{*DWA_D-+XgA++gRVkjgy=k}SU4v_!Cyh^gp~l^<*Sv%s=Nd+Ug!;(-&|_(wRAQ~I zt@T9;PNH!Ez2<0K*_>$O$k9egt6pN^T6-+~CccbwE>Gt+4yIOS*B4knzKjg-cP!>8L$XgAahlib*)y;a~l zIA)~n?C@NZ*jbx%6U`F5*hhoFfAMOOZeHOGszJHRmknKKpF56hD~~%mpw8Cw#{Jc)>V+&RmSQ zUODhuJvnfZ$=!PGjoMUuqNIIE=v9>?>PfU$Z=(4&1a5@!2(WJKjPzpdU~G-^wQgd{ zcx=Wh3bPG~!2@$+uYa;SVPsIkyI)g9`yKK?zL!S)vUhk)S#HJwEGCZkYunmgZxa5} zGCLi-o4D0xKCBVxW->v(ZYJK+r8#;LH{Lk&DJ}}JKsWIO@>Ki9 zm$?%)mQ>ZWd$FpDOgX7eItkW8kE|e%xF9goZ+d~u(pTJCRns*btRL7U+id3h3@{b9 z{^whJp46JpFZzsE`JP(JRc^SkxdSI-pSdd@Cj9!>3z(DfxcAk8IVP1(Gu`~Yiywld zpT~bW&nz>kK3vP2z*AW@h_8G_j8`!%J5HPF@AF=3L2QAtcqxp{$~|@+ODyKozJoo) zzFA=D4ERXe(Y-M39>%g$!l|&@zQzZsH%QOl5bG5yyeu_ z;6iCQq+;-yyqAP_aV`u%c(xwv>!e&=q9R^@nB*c6MY{`C!S~Dx5r!3fcLoWfaS>*- z{iM&!{TSci9Q{vQrGp+>g#!;B-}3aL^sH7SD-ZOtAaD$bz1ZG}Q7fClz=6r9rbl6f zkNwxi^$E$-UMEFM@<15H+|Dj-UIY|NB}^*Emp2 z7Ie9kJkan}6Z@>^+{0-oa_FVVqeI&Lgn2=|H_U_et#S2pM`W&^=#q^Y zT;?8pa#A!9dx*pLaja^bL~J3W&acQUCgS+;p*QOeYi*oRiUj%R0$fvg)zJ|lhLpJK zsGl*VxrzCGt4=K^MeVF9Y+Xf1loBmD^R#xyl{ z1Q82}ASFmgO00N5KzfG=f^-z=)x<7Mj#2~!mENUy&`41bk={WCq=R&+=QlT?Z*s?* z@qPK@cgMYsk==RD_m_Fj9fx#pU)E4?z@Jg9j}_%2YAt0C2y$T_L04BSr4nke@j>Q?&HX2%&xX7f4? zD?AtSooqEvk066iYH~B_Xn#^}Jh%SS>Fn{YWVS*<&%THc8Lv$E7$x7wb(ARinKk+D zsnN8ulMA=raVXX{za&to)6xJC7}5S+q{%uzcuVT2 zNB)fsCnTnt+bohli3c#>daxj|`}%_0nXbi-D7V@LGD~;=d1?Dz0grqcUC;cvDUDrd zMGtl?h>7Y{q`1+p+-BE~)JiiR@8*8k&vbpw0USo@E-ij){`j^X!&6D4u?u!)o-T8T z*KJoVonMUue?OL`zs_Q5GTMgQX#4yzh!-?$|6{4)Y(#lwN2Q5l4L2Q1>nCyX%oH7$ z`=isTN%31=4jnuwkYUztG~bh>)OSdr?WF*Fq&dTAVXge=w4kx(Vcn#@?I+wcUx!g# zPM05A_;Y0BeEw_d#QSR$9hKQ4Kba5arsWTuhDhTBLM04y?b{6B7st|C9K5KFPF|5OAD27lkIe4+(%(oU35ve*eoIVofG3L@l10e@2~a``EWRl z*~chq5dy%sKkYIcWEyJ@Tf1NI;VteDBi;>yQ?pIKOwG2;2=@#OgzeHkYz%CzL|-N- zv-XaqWFuctU2VVb!P-YeqzdZD}$zhC0~YVT_QuL^XZnU#0Tas@m6CdI=Li39kp6@{F$}Yv;bE#eZN@BvX+Yq3T&jy!uQt zW8~UzIfTCYNMC-No9%Qn#zT6!vwdH+)Hlu2Zk|2nvEvYUZgqp|ypKf}L8C2!ZopxP zbO96z5)2iOrd#mkPg2ylJLO>C;TROqe*dscvtU?YJ9;{78*Pw?;T6TDY zT&%r0YB3R0tj)gL^)1g?A}~sao{qkBPMS8-QJP1y8?HYl=G4+aOW?6oEnhC0-C}EF zJP)ou)c8@|GUw`}ByYL+a=WR;P!VMlvF|Kt9`!8}`a3fvK1S}#a<}&ZBrtI6?Hk-G zQ?rhoK6CyB)NP(a!P!<#$|@FjQ!Gj@sq^4V>uX8%0(+HGjx7=5uF1&nGcO--@hxd@ zFxBw0<7gI;d>u?kj}Tij@82LOGyd}a!P%>~TQhv)nj12ZB!f7T>L_`E;y5)}=gm}e z`P^}bvA_xJmnzN{UCZOy5ZkH0Vct^9q$lr}53K}@TIo&l(z4ZaHA1S+HfOx9r^&3A zx}@8F^>yH+X@k*1Ge0$ab{%~_&$G5*%R&v=_pgV7wkcfCcAE1`e!!pWawPlH+mUIl zTX)rHuU_04Ww4l^K^Soe2qSLESp)oKVjX@r+@k~jJ5*^;}`KR{Fojp64KEAU}V2C#5l|NO` zV9}&fU$yTB|HI0-#gPxgiAQMXb!nM4gZy){o7bw2Atj-;W{=YeZvUxJ>M8YOPzU8h zs;hok(;OneSnvB{{~=mq!IT{R+MyA?_q}Cb<+(!5Bq&@asQ%N}XUjdbbagxI6E|*x z=G=^DxuI-`&{_Tkj6ZmoJ8|8;7e2q{2l^IP2mzSPZl>)L%=mGOb7^9Vo(ZkMrNsXx ze%d_2w9p%nnK0R4+Ds74#-n8~e%Rt%mk~L%?SY$jp_Jms2dd@+!^0NN8=Wx{$EBTT z#1jhgLP1&79bi#IEev59=ny!ul9o?rjiB&!sW(_R+4r zN9`6I_Vq}S9F6wA#x+(g@m`r9N37>SgSw2{Vyn7-i$X5CHMHAW+2cEUMqB&ts?>xE z&%~OKZ?hK*ZP}x=o!U`?W`O?T8nB#moRLecIo)sl?vKf-!al~# zp$&O`-wpq1=%D*LlBoJ%V}!{}BZ{Qn|LT*a)O~i}+y39>N{?JwJI(3(5}f607sGha zCi3OfY)?!n^E-H6OC-yUChq>@T&Re{pIPVFE!&*|#ww;6cUD7%!gENkSgMGfJGaHQ zBQAqe@%8Hrywa#;wT^9?dBMC-bB01Ud&$)62Q8d_xtHeRdN4?{+TGZDmqT4fv3pB< zhI*<&4QQBKz%<6-V1Jo!`L-G+3ESF$2X`=wu$4`Nqd9GT6>Yp&mnMgSnUI1!Yg<%Q zDm6DMIegJW&W~8Y_=mYq59;G+D=bz2GyUHkppN=^?vdy0v z(C@?XZS}c7f=MB{VaR`r?Jnti?BgP_bd=_aKAXw06Ekx&eXm}+p=HhJ-e=j7_lTh( z@zf7-b|Ld?I3vA(WK)b#NTze0x|ckj8s+iweC1b%OWS{vcb?iQVXL%yc8bq$%_)Db z{K(2+{b{ptl#~k{$VI@&=uD2R&@_3KwAr_)>!j;cO0GHWSg4phjTwt;8qgFlPy6JgMztNbpL9JqqZ6}~ffPQb%vq*CTClsH;r6m| zIqLoxRF|l&Nu9uGI)+;IH(LX1;I$~YOcSWFF^G~4p)=1}Gfq2HFA@vdN?WQ4b-zsH z4_gmP|Deg+H!|aPBB(xX*Cf3_N?dT`FAGVwReHtx4?_EzZST6d7nsvP2zB2P~udS>>_7#+V8*rKHGQ02U?~lW#SW0sKt5Vo}7C`t8~AzsQWUUrYR&D zIT_usdvVsybA#!QmLP}~VUYH*Os-4IwxOncX@y3{dkg}`di-v)G`C~j^y!{Mg@&iS z1ln%1xD8a5+gy?MPkLButS2yjC_^EN61BJZPgkKE->fxVjPI+8gj8}}+V}b%3)5wJ zNwvm0l@;f}EpYvLt^UX#Y99Fo1>&<~HLfL|K7`4%7$BxPQuN!0*?5Ua5M5MFpV^}A zN}H}AvR+LOR8h?g42Ft*&ofnTNq0j($(WY(bLB!uS>ph*By9QftpV&cn)fG5L#L)` z{rmMtK6o-%zx=Z?S07)cZQNwg{7vI*qv?<57l%W+-M-TQb`Y#uKGTwssz@>GkC&?! zkvE>{X0Ll6zW#M9jpU?XuhC7Xh4O}3(w=W@E>zf=F7a_csVt!9Sfm!BOcnKl)NoIRdgDK{bWzbZ)h9?M(fN|HJUjOW z=VtMD4aq)SYc@cNkz0Zm&B%RzEL<-1h)huWO?h>mjRoKOGjHWmV6LCxH)}nvo_Z~F zNX2sp;|W5787=hk-BO>?=2U|AeP30%QOl^lTh;YR(~1!Cb^%oqCZ$se==f)-Z!w3e zqIjot4=7M|g>rIYt`jdfDz5$5Gigi{FOj$`V%xVLsy*(LxxZQUY5MFPX`XC8J=YSb zd~mYm>P6^8@<@-rXiyEELLN~N%%$yUGf-7y(!P%Ven^=4EKBUA36VKk?{^D@4)c?= zlEb5QnJMRdnL!47 z)VI0xxQO@ROpDt1m`>8w7hudSoN^2_sp;FS?=+cmLgNsv@|5xXLWt>L^rPlfefRJu zb3a-4H_>dAtIP)5vR#5oPV!7yG(VBuEFIhWr5-Po4c41pR~h~!*>=pb({mw*sZKT2HMIGGob@Y-h6i)0tb0n@6WbEJ z^CuZVCt<9brgfCi*x79LEgR$<%Z9pz1BEQi!Xtk6Sfm{?3gOCGlqd_QvC2NaxH;;8 z(@(RANE=Jq3&d<@thVTn_{q!`{+@(43~dxxE^ytZig)W9UuCAK{$!9UN7=f;%hNRdb68y)?e0Uuu&c(f2v4hZAaP@pn|IijZX+G-@{NdX8FP) z^gUznm?AZi5z@PEs*crW(q{SzcdPb|S5>+P^EYLkoN{<;Aa3T2Y-gg%sxC?YwiTi zgmkm!#w<}T$eR&74Vd~vU|uHUk?Tq#v?HYatI{M4)q~9^-!8f+$IbUE{JC($yQM8d zf;MsG!@O`!V80>bCY0f9Es>G^`h^Sh*#DO0|BXKP(*e6Y#~cz(!df?US2=ghQv8?2bLZJc}lyylqX zK9BqdoF4f#r^TIAH0hk8f}E%Bxz03grYk;QnFUUcv_Ds@Lzv^q3rVQoOX|MMFlu;| znk@FIT+Y)#2bq6egyseoSv`ly^I3Yu(scfOnkjA_Xg&>6qLVXE$upF;=bv4WXbh*R zCejN`?GoFRO`9I9kxCx>bN z+}cXxCHO6;h;lmKz2;||X)JxS>2dwFubl@I6o%>=ojzWkY19leH20jZs!wjn5D`Yv zfX*KMh$Y+LWTEb(#|n|BBWj{#O^}D3e43805jZ=?k)5NlLHt@H-4bh>QnO!9zGw+c6=gqeD z9vz$+Lw5U4o|x-Y_#t=arCAS&x=d9fttx{-B#n>Ld8hiy@@c=9craQ{mX@>$8MRav z&_!cEnUsa!`T>N}x`V0{Xo&b!cfYtV-GPMYg!@+2o1Qduq8HcF^E={8nODqGe*na~pF(hyL=b=&lTb*iS2Z%68*94s)HHN`BhOT#PVy_W z`VY@m&k^=PQ27ShMd(rTnzv_F*^3@Ha7uB1lWV$K=B|9RABM-8?p`4DNKbvsnGJmX zr988?FX9&6SOOP2!t4fT-KKS1w$g2hZhE(Xl7q34X=dlT1+MW+D-+1?LKt@%zjFni-UoScaaGm{++$WkCURRDh zy#op?noiThbr=%AN5nWeHEIK1=0d0EYT|yKFnXqX1?0Vx(|Ltyrlq!Rd3_0B@kCTY zw4vi*!ZuFL0qq|Jqf#V07DHpe!AvuH*CCSCA&t3oU-!7U6oZP$F(#!maRTPP!k7Gn z*veI~;(0T84Q{vOCf7%+OP_Gx-Y}o-W{i!N)5ln!0cjMamkJTJc+y)v!!m{h-}1Vs zrTT5-3P@T#mv22XT%J+kr#<3!=14+In(_yZ`W6AZ5K)a3XWwny^O_8T@eSS5+b5Cm zN1XPR!sx7g{#Wp zh<(nLrEWg@(I!@}nRR)3aXBv=b1#)nJrMzmgwOkVa;6-uQfcA2hQ`i{#+GUfl9X$A zn_ui6V_CCCz2J9Qt&3BYyCmtHJQpP-%m(=fXe`ok>RMAYSMEY5u1}h4H`wFh0Idc%P*X{RDxi7;&)U|Ay z)mKhXIVQc0yEc)rrE6#?0g^FnGR%?ULtk?rCL?gKSKrTtZ#eO{Jyf}lhpNlR@IckvHJauxP*q1Jvxmdm$r{S zueG(!};FWgKh8)*FQ*7{88~hBuyBj`cw@mXDXMPlS z=WRgP=Rv~1*}mYrEe`<(?-)oG;`oQr!7o#xLc9O-g8%pC6aPT~ApY|Nr4a9S|Eq~# z>D|2lUrlWE)QO!B{ye>({R^!|{>xzPKdKCves;il{i>Mdk?CbRz0X6ItNu39`DIl2 z@@l;bqNnvgeMr$?Mt?6-dg*sx|8Drb=gK&9OvJ$!R*WpC`BgFmVk8wk`#Cb+-2A%6 z4wFc-=Ej*;OViH~yCVPo;B)gwhRtOyJE$yV2s)qQgfmyx+tbe1pb z?}7?{y^6DoQDN_2eV+FIo8ix221egg-|+wX6VK-f*8kNoY5=V-S_q~`OMm{+RfwPX zrI0`8O9FG(yYsGH{=Zd!Tcv*)iglMh+OUcT6RRt~cj4FnE*eo3xUv?OhOGbZen;97 z2v8}b$WeOu>sM>mtYNXXS-HBR)nDfM|8@uTD%xldA#R1oyZoDP5ByKVyE=Cv{&9** zGz-33{jCv^00n&n2@|)Qn;Rzcm7$EN3?~_6BKzGPCI%Yhpq)a*{)l7~MS)2E#wfBv zz3>z+mbfjkP?kJ8oVsduqUQ%9f-$t+iL%IWdwv{oae}neEF@c?*l-XED}2oj80Ftl z5hN%Fm5>~#=|s?*prpSa(#RT+a!`OSiGJP6db1bPQuBLuc4Mo|D%!LgEef??fSB#f zn1MFzh~Sb`56J-~s6rWeyM6jdoM$3HtlQy@?xZX%pweRI2O5%yVm$#in>qmyi9p{H z@;;9t&SC4oKq>Eo}9!TPasq36a`4V)I!yt2&^ClsDZFnIxIdMoSfnSeQLlDfyydpu~Pz? zUBs%0dJn3d_)w`eKW@7>VInXBT^)W1rNhIi7aBJ1=66^2#LcgtwKWVvMyL$ZZ;P`7 z+<5Bc_L!Xff%vQtb^n8y#Dm&c12`LxU+oipa@e}}OlLBb2Ah-?ArEBqjcu;YKxC!( z+^fMETc)Kx+&m|Pi-8wB4a3c6jD?e zK}2J{9=|^fcNAX3f#JsF=l0Hcgw${dPV^B;3#*scAWz(fZ>|XUCT0rMCQ@=kmOskg z1!~kg$2NRpr<)7yCE{mNCEfu&RDCCan(~pb8;T&}j&@Dx5)j2u<`@iTTG@EcPOws_ z$B9k|R5;+1AWEr5vw_GgQ>vXt@}p3FNNUPLPe>`vNS;y+#YX_u=j^mszM@)5%1=q^ z&^X{&JpT@oh5Q*|LD_ReZlt$xGm(zWz+0Q~m=`g`Kukyq1qd}9g-tX%z5>28@ZBPA zL(n8jNzGXPBC9ygei%0O;KgnWOJNeV|Jgt|ru z*Bb^AB({apraRm`hoH?@V%!83ru6Jx9jHDA!mtyd9JU=i1L0eAOR>Y~#htTA2ts!qI%sUN zx+_P=d)d?et4{o>|H0yGIzFR2#B`-^l&H2r+=H{+-YQ^@gos|jNXGCO4yBE6W*tetzg0NmK zaYAtzH#Be06IRH90}gRFlL{6}Zt5(YA9IHRKrF;T`oSV50{^&moBBQxu??6HS=mLo zuk4x8-(R$tegM)1F9>6t25@Tdf#f7nse;=a5oAz8NQT2ae6VK2acR>RCN?@_atsT5wwkc ze8Rn?S8e5aCYP?OTlvqYUwuh=F6eQTzs>pw(T=|y@@ki+`Gw(faa48XuH3xJZ^yWu z_j8)_zsNZ~SnL?L{r4CACv)3;>Ec=KZ^?}8%C-K_iO^>K3hmN=ctJA9%F20LgoFFy zm#_W5$n=WTE;anC7raulYB>83pRnYxLB5d?&-U&01{ai;R05a2B9SS{tJ2b*sgyse zA#O<&e~kH!7R-r=iw%ACK_d2}z%q^5eWCR55DSta`-$9_BtPyx6^bJ0ZQ38lj*>(= zL2j~jDS;m93?+H?8eUeJUiMYVfBxlWe)-&BI@4hhu74~ zp@_XC)@3AACy1aPIogRF2U)5(5tF&}p+`51lh_8~ft(^CAt7Zx`))v_F+Rh*g`L={ zybk(Yk-dEtZ2htgiCi?ab(;&_3Y$8il3a@{jY!kk^uB>&`MTTki#VX@51qRSS;uoz z_BbXH$0HDAj1gSvq4L`fjsL%B>ReWYfv7TVal!Mc1&o@==8KRE)ggkdklgG>eGBPn zc7zrpIooCcDaexV28rhkl;srRqd7rb4j})IBbrE20Ktm^CczF3BwPP4!abK2)gf|@ z#DaxlLfl|H=?z3x^XxAYqZzz)6<$I7KOrQlYneakS25F(eMu6z0hO85%Xn+ZfZzA% zfx^}!Or8(KB^6LH3Il!bFbJVGFNiF84lJ#ls6(*lq9`Dy@n3lR^i(BsJPmT7F%vyr zGTEU$Gt!!^h~tME{`$e;Ad=NUuZU!4%tXf@da_UAe!BJLp4TqrB-|wSCgLVisE`8# z+@vUZKT#=0f!MpSP@p)J8s`B$F1i*Zhqnc^?H7^8jzL=aFYmO9)e5!%`nh0uZmaQw zD;1Ss2S^#4v`*rScn$$lJ`uzn=AVDje0s|Vy~W?mG|>X1ATSGNAY-+> zv|}r~(jDkKG8@AlFb63{I3J`W8t@A&B&Q=DEAV;PDX6rv-GkN4{DdwXhe@YE2Gnu% zc!;`AnCR<3_z)Pqefm2&WQla}x9jMmab4_6(RVOWkcgDg1QDJZj=b|^_HYvCmrD48 z5R5r8Kg}a`4s)JI{!wBJc}|WGK77Us`g0Ipw5^qeYmp~0OeCV5xNXQwmBRT*DuYAT zcfSmM?%4X$&xP`;;FA#fO@=X~p1ZM3sG!*EZDi&IHc6bXKec6;2SEtkLbV|BOJsif z?zkXt1O1X}S2J}Bm_a2OadAWA=a|Huqj4Pd!ljE!Y^Rn?%#eR3VCNWP&(TY`<^gAp zC$@AL(jZc_50b9_=b;CiS7_HnY@1(LAW~B1%^>m9wfI$^;6qlw@5x-9sxEOwF`TJQ z&{TyxjsnsRYh*w$xeO&O{CkOSM7`1aHxATf0SO6fd9s6af2uyC60(Qveph7h~#QU(5OdYGHTWc!(R9{v4D$Au3kr+Sd3QQkO8Wc|8U7(}=nWaO2RF zSuLQuzCWF}kYZegKYnlbqWw1cIn5K=X` zwBy}>78g4bBwu1vNPLt^=(FGLf;=&rX^D_4lcvJFB7ukyV&C~x zw;^~yDqUbIEO#`JW!RQ!<#>KuxbH)GgGfAWVZ==%$2tb_C<1j|AFO(yi~QgatgR5J zO|VX3G2+Ke6rRa$JKSDgUjAJP*|T^waJQ?GlkoNT_b0M{aG&Ufa5KK0FL6Ld0ZHVl z@h*Odh0HOK-6Pf8pey4SlVjmCJl`kh=FcqU4#4;z|#}xQ?c|Sfxpj#KZ>4@j7k;-Xb%%EuWbY6RffVwPV7%m&?8Jpa3hQ|H1rKnEKalV&@lLCk8Q1PyL>42fn? zaP5Twg$hz_4!<2iqHxZPgFRjxs&!&aL1F>)6Qzm#D;DBCc(oEcYBCZ;jL9gNm8|4P z;t0mhNk}~UGZXDPyg(60-eZ?5Ojtq$y&zUH&{f2o6ghv1tr;oHu!+m-d|$p>zMa21 z-)wkm0Z8QA4ZGrTZUlWR}nWK zQU+mg73<6Fa7{I~?Sp_P6i?!bogh?0$-ET_H7K-osn(q(>(XJ9jk@qIGcl(mj~%yY zlB7|v?}ZZe9nc}j)5K#SfJ?kb){A|ui1%qu(-sj(XP}{2OJEHQSC~TP6l*UC-an79 zTFRggfF8Xf9zC&4AQcvNb3Lv&k{o?+LLc#9fsI)TV;3K_VKE z%3eGg;<xxb0R!ribcuO1MkJfqmf_uMj$*_J#WJ>{*+>cO4IK?${ES0Ck zS|PP32>Q)X>?Weefjs)xQG3zH1OvZ{!*hT*=owrMKel;iHoiw3G?0-m5&visj<6jX z20vkqEg9j z>1RT!)Y?St!`LZA%ae$}6XQVJcsw4IyN|GSh`TcI0YzN)V>3b1`77~JN9LO@F6#Wf zUeRk&X1vLyIwFqBLnwU>qcp+rnFGvis0=CMs} zQ_bBU{>S~h`>nUOf7j&1DF>ml7n2?Iz>zm;<#FE>fnDmU-?f(#>g1izv1P1bk=>aM z%(EYe7sQgpoKEg&^d(wm#HpV8=hykT)q)|KxwZ*V(`LSw;Lkv8>rt3A5I>f2(;2wm zB9p^`cJfRHl%0u(>%Bgl=ZV}f%u#5}$%!ndFFLVnBe^{sPYzz=yrUhb!l_>fOb<#Y zR3tVmm|Q$Xg;|Nol-8$L?@{HP_+d~=0b`NGB>-#fb->xrFs((g=>g2te7wS2{tQ4Sed4 z`-S7|?n6OAaySI)W}|`cmLuzK!}m57ZM}xA*AF5SPBwR3os0rtM+-6V%g#fByrTsu z=pAN)#{;|amd^00Bdh8ylONc`+`lhu6UA7<9BbW*tEDE3=9tAK4>SbNqbXU^) z%Z;}h?&l(dOa0^=$d^>_J32YZpYhyZ@rmlE=4|Q&+(J$n94}S4%&Ud${ISdHw1Rq_ zOGSL|k`8l?-F)G-|Hwn;rLa>jS=BL^5{HZ0(wBZ70g1I|rmRO}H@N^)`Oa!ydw%E)#-+}^ZirAdb#--WhxT%f*|$M8P6;;4#4>9sB4dvmV-v3xd6AmP*;Pf|fVpOVgZf(yi=4*5Wsm^d?Yk%?FW z8|2ZGT>wbC8|xxeBXpelL36X9vvy0?i%uIn&0Ahf5*Dv&*ZJc_1e^0X@aqO_L(kGo z^Oh-%ft4$1frq0|7t?#;EGJ9}0v%v$?s@L7g-JXfLpP~IE!goH#WtF(vcbd<0W_!4 zYdB3!M0K#XPjw#$I>wnClC6ndst?eCmZ8=`4!O!oIqJl-wM<3EyON$G7!cbb(h~st z9knbLmSJt)#01w|@W(o>IRh(v?#8w`si52CC zpyFAWdr01=L4BHJQk1jhzuJy2e8n^eDd@4p2$ng z4g&FmWG4h#g%7SW+IOV3z}G{mlD~}H!g99hA|QAey{94G6J(mW9h0*VrVfcHfcsGi zk&}P`xPXU=rzTQIa2WZA!%X3gfR#$gt z&#}E?q5CA)69Wuv9ghhuRHDS)9PZUixHU3oYv2N>`al|wg*&V)R>rLfEr8wpa6%%# zh4|J0`N1d1RTKGh`2Ay_n;Jqxo3zhA!oAdHuH-fnoCh)x38ZYX(;U`9bK zSOL+%@y=oeOp?c06DC%Gv#1#k<3PcPfpRZWIARtoDk^%9_q;6Jb&lYqQ6T_GMHnI~ zSp&q!8h=Ru0g@7udX8jpfX_&V@xE)4c>Tii^37Oxc{&ULNi&Gl1Q=)_H34ySKtDP2;71|Mnpq91+2zuL}<1&3LSAob#cS`-eNuj^&SE)ow;$Z>`Na zE7{(vRdZhusK0v=eBn&Udi?(l@b>+efVY;K^*;jGe=TD_lSY84Tm2(M{sj>N;tjxC z?F;by_uE^3XkNm}ZkKLN_LSRv?&e#2_H4ZLvwks0w1ZJq;O$N3b!v6>RljdDzbK^K z9c@zA_o%1#%q8gq@|QGX@9kBn*?8=g4_)BT$CwY%7C)9drWo8guBX`+Iz3)CU^9|F zY?EZlDLk8H)txh{CM`=zw)xI>sNs@)#`t=e*HE;aZu+4caJ>l3BQ(qCAO#GOW zYfn@Cp2l=_C+R6&J7%o^%KiZJ z=Ptp3w|Nd*#&r9^TqZ6M= zOoIW}{Bk4z-3ucB@df|65Rb&4KKx&J*NlJnu5_Gs74BvKxlw<)1H!Vyj!sVHC{2;n zS9sf74FVFs?d2tF=ZxriG9ES%x$E|>-0sWs`pso+pFY{69VUshf>0pM7+2_Fze#O# zFTSVy%jk6z01^#2Wef&>S$QB&_n+3x4!U>m+`!MD|Hcr1v!Y}F_FdJxr+NSR|5a0i zj}F=inm31|yEuTPP3rV%C7ctJwTg0mzN$L%Bt6YTm7Gf2q#*8FBLhbRL0VQ;mR%<= zi+F^gQjWnfsj`lGz9KLJwYz2lylB@_6v+F)PUM_@5*$BF5%XtZp1hTwp548ecpQ_) z$Lh7~l~7OCXyf3a$5)i4E?MHhJp@o(J*r!xQVL9`7tozD-p|vN*eT*#k;ZH1TzL0~ zp1ywf@NgoKgIJWE{q6a=I~f^Mow>8M_i=E%vfoa;+ljLo@**Qtl*CcweP<`3`jccG zPKn?W`Y=Bbbx?pIRyFdlEjxCw0hi{tXjOZDeVrl@Z(a``ad91q`HxpJEZSm`;337= z#LEa0M+hYZZX`z6W5O$NWtUFk-CQ;{He&aMC#!EWPwH~8WD01DPVkL5256%4V>2)= zEu`H_R#qu>*;lWAQ(RPZKvYxAD?mgsT1GJFX z!I7R$A3bTxqThYi+3WUg1;7BvV$bi?M8gKI!?BHxYH_Cf_U=t{nX`qPwKi#{7*>WP z5WLntG*9gqRZmZE0-m@gz|~bs0oW(t*%1R)jF)Dkpb7_c!MQYRDo4!o_E0wG$4Qu4zEWsR}!ljxTYz-8;_?Y=+QSET6_9xJHJ!OsT^*N&y%%;m4$*=4>l)(ZqIAKvR)W6MoYFW+@O{ z9#S{TG1b_hoUIAtcw*A5@_h*&b2OAk$@^{Ew22SdAq?UE6mkQ4=`vm+NF7d>2ljdm z*_X#SsP+BT5$=QthI9!M8kX&5%y!aPPRX9JXz_ss7NKd9W6!rapoBGL>&PD^1IAh zyI?)t_V6Hhr{_0zItf1YDCKLE#RS2V!+xkijNzcn4rO+rDj_zFWwF;z0`R;S5D*P| z6a|P8X3ylY`&lTUepG{N#6kfs@)#Jpo=pcJh!`{zN^*6Q_11ho;&wBM)?PP3ee?2( zRc%8*iq1C+j3d{8U+Un}6<1^ti}bNS z!e8f*ct?lf?gX^v)L1lYNOg?x!$JWd{?fV~j>5a~m?_opnzJ5kOcvGN$LU`D80qy$ zAG;5OfSJ+c`6;v!&Nng$rvv1M{u+H}S_0=G(;ur~RJJf==~feDSrF3`;>7h_cqQEL zl121EHBB7;4vCEn448VrIaN@95EhNd^!u<4aouM={4OjMjYUok&&tYbz0O8)ob8L^ z6;q9n+N$piJmz!{KgPdmE`hRjk9jMb!g196udG9g_2dg(7d$GBJEV2ueN@mxgRgHq}Y*fozyHsnk+unq2REoBMs5f?$Mh`_$ol}mk*ua#-= zB0hyr8DZ9Q6m1XQ;JeMGlV}-`@&INb(WC*7V~K$C9_&?fg4*RVuc*P*`TcE5w{G3K z|5`ftqJ{?kOT=j^KHRBtaBwi#fWx>&I9%n2o?`mx@>rP@&6B*b&G~M!Qc|~h@RnIR zt}_Ol+Br(-r`C7S7VTW-M@tF3irJPJR2{@;S4GTmIhKF?^te0Gp<5(7C?kb;AL;XK%o43gF2H@Rm+(wds!pxy>=J^tsU!_SxK^yYB3n{2<+OLzVh zhLMFsEx&RdL~BX;(a~#!0LjA4d;muanQ#Dqkc9$Z$q{zr67Nu8 zIZ~*4MB`u~ff`+ALUJYaNtlgENl8_s$BW&25Lix?;l<_BW%nfqdAjdgUf6V780PCJ zVz#Y_t^t?>9Z>&Ty2@Z-MUp!GlFY!!h=R|eTOd!e1aTPK*OwXS`f0citG|{&LCzza z&&6GDucV-$U=2nq0R!-nhrG6<`-V71FJKmc9*kn5=~SDVG8qUF0;vTBJ~tO%&fC z7ZKI&ln)Sh$q8|tHO`0cJX(goMvjL#_Ot2FKRn03{ArhiaViQ53#${<^l?~N%>$tN zzhmvQQV0ftO7mQ>bj#y+;DA_n;`k zBnF7i3t6HvCZ{YjA$Y-#*EJ+@^nf)`UplwZ;_dhMTL@aT8hIdt2^zV$lCDhcZxFLX zA`%b0zO11^H7S285ZqH6G(1S33-Y?uaAJaq@?53CW~jL?`cv>PXa9gsKgoVbXn6PT z9fC*b1n?qFa~QC^W@KSyEr0foW>p28N}z-`Q|ZQc?#0h6EG#j=5wcyvwc>yzmUuD7 zVb7CvinwcnZyFXA;wXg^wg!hl8X6t&Qjp5=f4lhJoqNpLQ}P`atrC8nFcHyuJq66M z;o*@hO6exb!iNtZMDm2Nf9Sm#d_Y5-$6iYAVqLz|DLp*1YaF`HATXltC%^`AX7?7K zJ<#R=M=WyEsZi7?nmnuxFd- z_ScOCC156{B+-#^xpT{v?k>W!G!O(>K@DKliCXuV9M^okO8bz*Z zH3<&0;k_pO~xrtVOZuZZR!Qbv$mETH$d7^J^ z@XJ5^lFw&YVAbZwJzTp?*Ymj~$8>nnjPb<$f=rM6^=V(bJc*~9c*4`f6hGByDJwPu zjNvXPm4PJ^r*@W={PLgAEt>#mOj*pu0?xQ|ZQdP7|7RDs{l~37+mxQZnX%H&y381M z@QTAf{8HEF2OsdW*ynF~*zi$b;y=CXe|^CclJb|2{>v|!?^sy@hd=zP`)$qR|NdK_ z^U_tn>~Z|OE^R&ha{n(N92{O;(`MOjpb2)%Xl<}kzo!rFJ7>GrR~V91RE zNi(x}!VV_h=)mP`5H(SWb0ME4Wta(~Ok%_S&v*XmFo@`ygdzwDoCGgj@We?f4hj%I z_|~3`hXop@g)lxsaCq=PG#R~76p`AFygMng@R3$^a{*s&TrL9fV^A|HPYt3f*FajJ z3>?8`{?kP={DK2XBkRH=lr4NX`*wEhLj{L=Iu@ra!Vkz_f@0IHmk5AC{5g%$_&^bM z2h2pY*c0s99au}JcYnF`#CVWwmU!tv{QHsi@V}n<^eGy&zy6NGLQ*}VZjO`m-i2z< zETchAR<@p0Dn-Lca3*nbX|#nAIuVMQty{N7piLi53PAK_yh1v;b00M$^_v8(Jr1#% zbhb(V0zF}k3N-MP3fkNNWT8O?A3QhH`J^c3(dgeM>OI94JxC&kP#d~n;2Y~K&*gB8WufBNk$p< za^-tURnHM34DJsvG5jP00NA>9IX0&2b{slRKrxWD4&_fFNh4cI$Nt?K(qklZYwp|y z(J0*y;yZwzbPp?(q>bW@q-7%>E`C9FWWrsErp9DydYc* zeJMEAhD9mpt#BlHdwHqgmXaUg!s~>@kv8jl78Mo!G$QOeZ%?U4myF+W!bogkq6U4+ z5W?mVY_~s#edqAoJn2Y*4iSlJSQdGPYS>B7+FUzJGLe9~K*de`?Af!z4lBv`uLZZg zy#-51qGn~$JZ_v+F4dgZgH9YNQtH4CB`mDvKH66#q9En;V72D*H*cOfe*7xQ9nm}^;e>4Dx?qBbA*~~rRoy6|1%l_)oMRJ*`M?mSvn@&h zZTQTa`A`NL;cGkgMfe|jkc$zI;^JZo6|67cPA8Xz$p%6!q+&tqgG51UxAaRrvdF`g zc@1CPxpHi_75Z*-6MzXc7sB^)amgYQ)ggI9ftZBQ(j&BgdD%2xKk>mVCrI63_==E- z2)%y!YWnq2w%^^kcQ%n@Uks-{3mfuh?3h|KGP?!`&30maB@lWQkeEJ_z-7^U^Cy5HC{yGvBg$4InAWsqBA}Dhl{p4kB{du@tUh#xeXWzOHotsH zNy;0$4RrJ%K_sajrqzCGEq@@`HD_8T0jDHS30O= zBT6xrwsOU0(d;<@8}u7c+?fG!ZWK}l`8fCr3xCE>(&}VNVR;yy+W;ZXXu{uyrXq*9JDPYHFaZw9sSz5+xmKI4KIH z3SoVsguyaA=u&stR?NUspc>OR_OyC*j@%WXm}CkPa}LHkEt}I~fQdX>YUHP3N+GVx z0@0W-JJ6F577{W7u&v@EgF-qQ^xj?&tI3+Xv}L6w`Y}3uD3yVMAr5b9AR@Sbe+gY~ zcD8}33&id8wLmx}yylv0vP}WSZrQjI5pBJJ=|b9AUXKN~5)a`ZT)#vRW`b>C)2W~= zWN8~nW%&8$-4tvui|e;!@NG}GteM{m>C%%JIioUz4lDj#7-t!8Gh0_A%N1sXsWSHD zp#JQh5Z;2B>fu&a3gLFXdwv5DVE%-{^>uOXFxTcToUe{eV_e=S_QByY8SNePQ?AC9 z{+ONB9Ekcb%^U-Y*@oay5!RuTW=+05>eX1f44udoB*E0n=$F|;(b3T%{bpnwXY^O6 zVW}M0v*!pEp4{H2=d{7Vl)>hDHSmP#M_|eQ5btB|LxRw^DZZM<;)4BRro8pRW`bUR z%(`;r%4o%dsi;lV31FLaowW+19wr2JR5tF zuf%vfM4eJ$CsmDB$}S-Zn~s!t_M5zSdtSDovq7J)w_&HyLw_Ad3J%vQfR7Im$$RlV zcIeoFd#WFtqo`$wX3M?vqv96T7AI}pCWnDJdt9|N(R~+;^G(fRp#CEr!UA*2#Z44r6}( zJzkR^q^`ZH$t#t~OahkK$%}fJUO;Nd8@wGlh``qpa{^@+W@&&kKz$XdaR3rj zje3{mWurd_>sW+?Io2Ghg`v=4iZD+a7s{cnNQU|Vgs398dsKf2o~W|1vML)7U}BA7 zxDVzJ#ch7{1~c2rnaPZ)*Vbq+S0x2a!|t(zc)A;&(+OR8817`gdB1FM z09TLA_y-v>s8F4+)dgU|D$ljw@ba4t62hZg2ssmN! zx9U1YP#l6W0!T_gs-r$UjDg~hA1}xR{BnefQNOcV{u#Fg_W`kdl^MXawo+_57$lwp zeKZZ;L3FB&jD1=>Yj>SA;h#i~?|IzP(5hyBrE0NP3UL}1CbQSo`5htPKR<+OD^l(~ zXurhZKo)VCO=Bh`?O5PFb(1*v!F4BTg6Hvz8erC)Z08jb(OCWMPjA2qBy-yYJt4gx zl3SqqpioP^nJm*cYT6ns%uQzhj4lW|o(Hk9kU;WyA*S>pHdgUgiiTlN69|HIQ*i8U zMeITFr@!QlfpiR#oOkrDT}*OQCg2kJZLBM#(B`C-gM|a%BO4n6MKC#>#v51R;3wS! zFz+=M9NI>DtHQj0S?PH1?ja`+(xlUK(~w#@bLRSj9VUq45x_o}EZ~#N^^(bC=IvXz zs(_oMTlXo%38Py|S}b+qTEae2zN9zk*dG&B3kO#;z4q2PVDvssYQChjG!D%eT#7F< zp4tAk>pC%5mY7nnzj1r~YW8(7%gQYM=J{j3rZe2^)3fd;9XhLhc8V5mp2*Cg3$uFGhDaX-ok`m-b5`hSN zhneuy;nqy81$&f?9+MK0aG%`fJDF4(SoZHXng2AJgJb?!aUZe`4-9wh+rHiZh6cAp z8m8`14Ar5DLDHkJt=Bj;4xO5wov)8omL@0?cs!F6HF69Q12IGgVS~i{8Dw|@w>B;Z zaN+ZRh`ey_eEW7cdQbWr;s?oW0YI?(3E4zU08bN1WN+)$fCy2`@?S6+M9?X~sf3@7 z{#`AMT+!g^N2WyxWF#WtxPeKo>zsLKGnN_QIT8^mOi);(8H8P-iZqzW({Se>SsYhAgltO1-^BlbOjaZC#&%plx-pJfv+&z(y za!$jM*jov}L*p~s9i@S{TfwP{NN>ce@c=0#ZFlgtT&`E#ME`jM-oRO zkENxh=MLVJD2&b|>lN=}FF-lbkFHn}NjJ!XJoD%%={90>FqyRFsbpIj5Y3G0d?_7G zRy!6l;za;i40$|8E);XhXD_=#_)Q#iQNVmpVSOv&Xz-i?q?>#;ZRODac`cz-+~L69 zWXo8;HwxhNLDVahYV4VC)OAfld&4I)3m0TCr5*?3nn!zCwvAw?%jCzKqH}dzfSxj2 zwSH^{^kh5RYD17Hu5aQA31`UYX%B&|)?6E(_U05*4D%oyoNc2UtTj!hMk~pWWSDyO z38IxWYhcd!r~b3)76~)Pqlxhj6#_%jOso#=eqXuCAa>SZe5MOeo*dyoe9JHBoIdTb zo>7FkPv;un^7ptrf5d8g(|Z_NqvL#n3N}LwD1zsNMvzFa0$nidG zUQl1?=Efko45D6M`^Y81!KZbBwm3gtDcbZT9;X1Ri00>OC+Ns5{Nhw*A(^m+w0k`| zvAn?zXqXadIV&qG$D)lZne^0^F0PacxGRIeT!rI3-JpCMy02RD^72-;wkpUOm5@Z* zKxZ1UdDojc7KSAe>Y{)S~;!^jB7@mC6lxMf48tIPD4~wp><8LWKPAf3#PSO4%!e?gafKVNJk zkNdU6T*H6Gc3RE(zqpQo;-k9Xrv6(D(%=hd|N2CGI+lDz`fdqYvhUtCjD%(jV)jxladP|Spi9hG7?@sTWaNvFi~^Zw)LgYB*sYqxMAs>jOJZ z<~|^>bvW{WEB~3P8KGgaN|LEbWChDVcXzeRj??a4!~2$oY(JxX9z{v_7q*711ifEY zHy;u`nw*?WWk&apL2@PLJRKyLkMK_o|9Z`VfE7Kmj~52H%IRRxMM!6uLm{LyP-VJ6 zIzy=xjdPS#^Q8CxE}f8YaLS}(!ciNu7~g;YJ>kVTySUUv$uW^61CSJz8Q_&1VKt$G z4#P;PdP3*O2+@b4C=k^{D2H@jV#f*CIgj*le3t(ln}C1{34=(#Y~B}rPv|{BGzh|q z+ZzS!C)TLyu}Z_aiC|=4hf08|Ix{CPCkwmJ8)cj7*!s4%f%;CS?oqtQb>f+kEO|w9 zhY$?$u+sxC;mt{2ORy6WSHQ$*zaK~Dql|QCd|}5}3$o$~^z+bXZSA*LQo8r}@ng`; zzasP;_;=)x_BO+b71sAti+>LfA+q~fbI%+G>IdvdnhMq&D|+tIpk1h5xbOs7d=yUh zK9CXnhFc0;oD#HiRj9RaE{DOn?a;(6Qz4uSy}VP$_}FMo!3|EnKMup!Y%?1N#@Sr2z3m^zZy)))kVrM#Pzg-(2prM z77Aolq;i;7Xf~Jg&I-P41EEPCja_Ou=>XtamSkf=#-Re7?G5uL)Ob``Lr^WK6dm_q zHU_ePQqK-FGm>6kOu*?%il=qEMAeYg%Gv2cKmejKQHND9niZ#y%TgI1mI&9 z-aqLuu_gRmm_S;j)eg9Zpfl9r$tFzZ-eD%7r)A#g$(#YqT=DCd{3I+CFl_@&FA3}^ zA7(5OPHjCwqFzQ?`IKo5{&+LsZ70}m1^7H_u0?$?C*dtgAs9+_`Bzog&@JMHP^}#-86^66dY%u%|%E z4B=f;<#x#;4>BM`72iEL#6@7L)k%B$x;|Bb9I6xR+-1i7mT@nZ+(!t|OkW!%5AWu- zmrqFB8@#7N+gzy8@aIRneadPcVv5HUGrh*scJH`Ba7y-|6m1AP{At*W3&)Vu3Hof6 zE>Y~rxQ`k%L+*TyY~*$9SWEr;3%fk2_ZAM@+GKe}D#> z+$NYfenK74JVYNKosGM~Cki=#UNd1lX}vtQ@#N;sJ4OpGWBSq=!>e`9S1pM} zw{ErT>;Mw|03108!Yl+p6ZAqs<}jMrIm5lLT)oXnN6-UP~dlOAb5^`J%4Io0CM z9KX1wNO-SDNB5n(^ljz&en};}W8pb&y&(x8K5Y<4Ox2xm)0P66Lev%-7%UVYEpc90 z@98Pb0nZT7h8rI>*s*bP@Aqq@0|(`ioVSk+k(Qpsdi~>6jN#EGSKYXGs9rYhq}P5& z_ZkpOx}tv^ks+i-sp0$3efqWP9Rit4)m#WZFnszL?yl$l^1w+~6%ebAQFI35?6bin z=XjU~&6qZSL${L7{VR)~n@>M`Vw-v_&?xUZ_39m=scw)9ZP^iw@XHm56bCkOZXsIN!JvNTN@W%_VrfePhy%yaIh8miy+`{;4F4Ksm@C* ztpf^05W*3hwbGuGgFxo3^0Ue_A8u0jYpbbc`_hjrIFKIUnoE#B=zs$bECHrZi(e0lF$6rLT>(uL%kk0#l|FroB4LW~R zRUdP5Hc`=wMvSy+1_Uh1T8Gu^Ch5y>)oW*Vj6EC6JZoX&^B8bO`4&@}<(#gvz$j!_ zYH1y-YLeX~`V=_A3;~iA4BT! ztwu?5q-Z{9g2vB?HYK{Cl2UGykgwa_H*QRVE3L6u9mYJ6$*cZ@N@BG}6)mSm4j6|W zg=}4TH}ez6IN6PJfm_KB=+-N%X87orvo)v@C+;(2n?W>~MX#S%A_}7==e*HnM z#^;ayNrP!pTII1WrX?XXazoF%+b*B`o1glHGP1XXmIS8--s-Of%S*^Lhu!PSJMzx; zKzDX`ioMf3Da>X)cv?+Rh@b$oTSBI?`)Vx=8smcx=L(E*vdSI#sn$7J#i+*8p02m$ zry2(8%P)P;EZq4&WJ9m|nZjfF*Seu!mg5&e(27+@{#iBqZ&WtFZi!j{a7(xY0T>&W z@@w3F`-PnJ>r;svfC`*|mmKHVAqLhvF#M zEfhmz;ky7X?gtMa?k%x^1olz4F(o_i$WZ(4%J6E8iB9Kx)uVm^u2U_g5j~stqMu3S zgeD=ohSIFI)LIZrh>>0&h;Te0e-MrpAn}n=rFcw1YfXL@uFEVBXptj1Vy+grz=$_p zSpqRXYwuAb@uMD`ppGZ0ZE7?v$uFiTAA54U>5UsVqLT03ySLh_-A)b zo+yCuI!g?s&8(UR*w)1~)7RH`I)|?`fW=Q1R9n;*B*Zfwo;my_|2ZKR8=DE0Bg5N4i4o*_(Uw}N04-fEqOM7W6JfXx#-d2I*rAI&-Z3m)g zoTLSro4I|c4dl9|G!tn3Ce2jL8Ju8c&c(P@Ju-rgeEhm_tW zArsFYKh1%wRT`cF;v0@+*n}Eret!0(cMs1Fg>+;D=4X9pw;u!)Pqm(%;*#|0YG|~h zj+S{+!myHlI$jbq#*Dpvk%c#0m%{0B93HkbVW?f@w(!#s{mY~9C86OzzSv>W`$h9< z354c$i`CHc+jX>9@9+x1k#ufa<`+VJ1O11zd#6*$825H2W7Y&xtI?o~o^UVV4SXWu z@TXp1baBXWU_x;n#t&yK^5kavkXn7`E#;oPeaXW!fd{sLQP0a3PA|=YMC!OnJODbO z_epPGK8p-r@^iCnY+XeNloPr)T)%#OJe5EFUv7kD^nPwVlP19fdPiC*nf^K~9n9;c z0#te>hfSuBtaXDnI1S*ND7i&`AdoO*1X%Zd626w~#hBh4iPI_Vfhsm>k=B_aQNHCk zn}W)SbcPP)z z+b69iKbq!ocG$6}eOpj+LO@v*9Q7S{rd@CH{B{K%W}ox^!Ii@Z@a`9V+)AD{m zqbT=XI1HE)UeFd~Aer-Dhu94)R#8BhTKr;Ni!;0TUEHxli{b^zK*(5JZG`|fb!KuGbm67|bZR#J?Gt?NS-xqwp+L$$v zW(V;|OGIK2k>VV)Nx0{ut<*PQ?8c!q z84|l3lW$2XQAW_XBX$)PMEB)ITJsf%Qtz_4$@Fki7pb zzbPJ1!cC{(_hbKyUAg!%5pi456!sP(g_uIeCB^*C_?cq06E2ow#1xiurJ9g05i&I< z?UrhtxAhBc(Pk;bb@MZm-fO0oAjKayuh2LXz3c{*fw44rH*3jeN*I(09^prE`AtXH z-@t#ly{+q+OnK$TkKYb;M=n$LgzBB#PoM6){>a^@`?XccVY#V(F@5pd{_-(IX51be zl$4dFe~90L{rou5L=eM@b-3Vd!Yv4yn6Z?Mx`OmCrTZy$9c89CuCoW4vpf)L%%vBy zI6pgpdLliu!NcbwJ?K+7h_XF_9pT7%EfJOin|@rVk7hk!z*ON^QjNE!#w0px4tU`$TcETIJlI&zmZ$xXK%odc*n~p z@IPt1orL&6H4s4 z6&eF=P1`;RbM77+0xTGn{P1DV$NAgg7|>n!n)6P@pe!R#?pS5>=O?!V&b_OJgc%J~ z;E0TmCZpNEt@9d|54;~-j@ua_g-4bY2lx3!Io7R{07eXNsjaEs+ z6$M(eRj+*508u@3)+Nyre9bfW_62mcCDbTiIzlNtQ>}Xb28fAII|DtJtNN3lf%rgiat+B7$nQ2G9 zULs^*_c*_c&8Z(*YUZw(GT@i;@?R@8&i$=YLts^6x%js4uT~s%9htoL&X>GPCIl~nr z)|R~h+iU(Q!Wc5Ha_&Frf8H99@VBkRKR@-KcjWSpF8W|o;vNMM@XH$ga@oHqQUb@% zR4;G8?q4Gnf7ZnRPaDmlBeI7K9^8u7!h@-L#cl$kX(Q&75ibKeKfw{uszZmn4-WM9 z;co#Ier_hK6+aEXa9)1a8R9;VCjpH3X2s3EZ8`&2SC@(G z08TS9OUh-ph%TYSvYR(+#x=IKHLXvYF@*XoXlj>5Y4e<;e|}Hoq@&SDnzK%R83+khaZL`B*31%dfkLtMIs}U zP(;mAw`Gp&#^9e88h74ml=cBf)W1ryEd(18z>4mX>QBUX!j@@&DQ7w6SbLxA=sBMv z<9;w(1)yW>mf*1{$J{66&**WZ%+0*t>eITs8$n@831e_X)J?HuGd1i?}^Lw9NmK0~x;y zM{-AYA5a#)KMCv~B;7<(9z$HyJ592Is{aL9k4GG26eTR!InB@*zf`;aiTsl~Bd)+D z@2!!3kx93GFv`h+WMs=|r&;8MSFT(UD>dnO^FrMIn6h%!DqB&a&{R(RAX;}4cBvxR zADobz580H2-%U=CzR1fQi@gHkn{g0_`BQbN>>Iti#{n!u*buj8Jf*j{xcvpxpVZ;Q zFK%lot>$L>&{X3gjLIkt1|Yv7wY*PthJw`Qi6!NyFn((#0a!4PryG5=;l)`8s6_Xa z&JfRrvPOrs{NV12E=3GqL`E)-FxXv)Dd0NdE8?~ql;5Nre?vG^p{NG3nwe1j#B;G7EKE?gQa2nWe zu@rdqK`XBq`eOcZbvE;2w_i`DYJ#3gs*se!&&V!f@iFok!Yxa>~E4@%--uNKs0z$=o z(``uTGr-zNhEtZSRl6}8)af{lLum!co^h#>fhmSIxUS+Q$@PpYgc;n+p*z78mqKF_rB z8}qyqkR~ZF4v?j*ZrMwoo)PcZoobe3kfzBQO0r|>uI2ZC1d9nP zK}i&RfXJD2#Kqd2808Vdp5F2KYS?7{na|eLhwh33(J6ReA=SZ~3X{ouykC@!_lZOr+lGZw< zimhO8uzToG0>7U0@sX0}xY%&Ctql5elnPfWwqxnp!KTG-{#!~{Tf<_ldC;uOQ-xrJ%JYLRe z#6wfm93YW%R2u=k2&hXeO^`}dMP+;1_5|Yt3kdrxO6=#L9Yz-?emvbr_iT{;&M6~z z72Js}DA{tl6AQhcka`4A!T4}|@Khm4Onh|KW}}vB*o?!@VNN_^yP3y>>GbO7KT^f% z`0;ip41}8oN(mhH{qtk-5J3jHrCt9;Y(=x{S(vwaSW;!;j$js$dknO#VOmT~3?-b- zQG#t@t=d1oeZ;l?brd^|_RcxhJjMUmta#sbzRtUj(}jM^0#bjo?lv@o<`^;52;@UP{X=t-^*|EoatqY{B30Sdcz+# zEZ|`(?{)>0ur%X@`c}1+In;Dh`y03;W7MSeMtZ_@o15!PenBMg=xO^$7`1xmZUaO6 zhB#9%TABe52{E^sMYJ$b^cldk|~=(Oq=4;Ubn*!1cSTMb;{K0sI=d>Jd} zgy3&u$b}BwTu2-q&G{@9_CGnrv1h|zGKka?naM3m-9;u%h#FrVx_clO&LM|8Q2dY~xHUy<^^2WSx3dqv53q8%qRcKmFI~TAJ(b|cp zL(TOkbw2;DBuM2?zXusgN?wu26+26Z!3A2B6Ra@`!p}Ky51WTj?eNSc`EL8*P}kP;L&@NV7l40VbwC0uZus{dkz7uoXT^`}`98Im;-#nbTqC z09AT5SQ0(%;M@B%S%>OAw&tdbqhL`4;RGgH11bQ>Hxn){68s4~ENIH*^7`>aM%;^R zcb`JFD0zaUs!XfqnA)PnMIHl@^7iH8#Oq01*T|kbg~@B3ms<40gb?%4rD0(vN3f77 zj8B^RkwuWuH@&)uv!r-FR{2UFGd709`49p=ExclOj+k|I@+{d|WU+Q@3Vf z|E?myCoZLciX1O_eX&uO%gwZJ(m0&eJ-^DBOSH@={)(B@|>uD2vdD}9%*){lhg!$0WXkiK$VdwXeB-(L1= zUbmO`?tgBZl$BV*7ny+N2V4T2yLfsIE#k*RKANS(^V_cqelKa9 zEB+|MO#V_uA9D*R*+ZCqocrGWZ`>(~Ub*gr+M5jolJPgV z309OG;A<70KkLmz$6_}4btN4k8@zhm?`l_5C0*x~Ul<5RB@BcOGYg-{Uq_y{ldX|A z$L#V0P2GBJUKCa7()vGpkG$&iH&6GMd;A6VYIE?vp?aUayXF5IALBnEI{%g%{>%RP zXOwg2A^!lb`np!CLGVvue3J<#h7b!IWMHGd>3JUX={F}g`x0YRlPDrPPqrutXgLKm zxSD{hidi6TAG1nv8b!lHZCB`5tW?RC0jI&gm%M+Gmdn$#Ev@J%3j=6%1~KByrC`WU zBHUQI@@LD^Euup;(Jz$V_g~>ojnLrgfHIFR%sV9J^db=K)X4x(1i5aqr9@l+sMQXK zwxcPB6{*y^GGvtFYUG_ecfcJCNhuOhu^?KTwlI#nyh*E3^t^C0>6$g8w9yk@J9xH? z52k1^66GCEcnp%f+$L=@oh+HcDqoEP9~Om>TLpn`v#)p8-^-|RQdR-ZoY{#BR}Yc4 zdehbGhN<=C8Bb47y-H|~ss4T*24uJ}4nSX+#1{%E2Kw?=`s5@kiAY^Vt#!2u+Tcg!sFr83WWvmEQ{4~|88`O1#Tnjj7s@@lt@9&NJ z6uWS8C0o|48G6wUtF}Y*SdX|DAx)RzFb_^mK1EqHlcAe^?^U&h#1}rbCD*zdEb%%|52zwnSuJ*<_L*} zEJ3oQ^#i`{W5?-VJlzL^dl(3VU=66z1WFVB9uxDnYW*j!Me+#$iKp=I z#Gc-S2Aaqrh2nu2?KOHrk;_pb%N!4>OjDw4B$ou-7wk!2<`RkLsDL5>Dl&4D1w2AB zn*KUWCXrE6hZ&s*p#CgzI<^FKcH2xKm+q)lK* z?B9z^zh4v@Q29!oetcdC*+EqGH27rbppXOE9+LGy^34R|`|@ms@;S^ZMkJLK9yxP0 zcHMdmh1BC(w)C*k6*S18zq+3vwgYyP#9b!*(7EdNT&E z0rq!18HCJAmVGF2?L`%odM~rGP6+FSecWY3cdA6`Rzib4LT(DXS6{$e*!vc@c3?8- zm8_1HKhVRBx~^nP#n>P9UeCqt*&PCsP#sQFqq9nQBGj2BZIG)EuweP zj=PUr`lWS4FVi?y(9C^C_6W6v0kHpa_{%-*^|fao%S%hal|d) zi}*079w2MgO^0FASqxryoi+!RA(!lIb_!CmF%StsOrWk0J>eiJAN(1I`-Pv`{;Ar= zq4xQ}nH{6J#XF9B;UL35uL}Sz1&H(Ktg!YxZxg|#ZB1q*7DEHPU4Y{NIC|` zreiqSeaENxTo${Q0)B0~?)|~ZghDP4t-1BZrAseh=*ezwu0I3UJ$W*3%AZ8p2L~mcPQPt?PXBU~g z-7V&!yY?O~MzNBP23#D8i({1EEKMyL0yiOQ3?aBm)Q)Ww06yN{OZ#gS;{VnY| zXBQ8(H8t{GGPGoSe|%u+^(2gI6${XX!Ka45o7Xz!u~t_9GB(Zg-NYK3%%^_8jcaA| z!KTHXOFjusJ_|-!^O5EAm)iPoO$cvV@@b1Q1Cz(JJzMWLW$82?Dzx3~=@;hQsB4QB zM~5zs*xh`5LU_WhN5g;q^s`e}2UIXkSlmY23AwB1JnO`Rs`{qQ8mg)mMi!#QQGJ>_ z6{gf9m7@VKZpZL`ehmWO)p)szyJ%BM$SMgjulEw%MaTj!MsJ5_cC zV1Uq?1NiD9HnuR7PiA{P?p7PbU*1kFeZoc1qf6O;sjoM>k>UVGIy#^pk@2EUmwk;N-d?70P*?eAiMER1DdwIR?FJ4Un77gO8%>lxXK=2Z zxHoDtEFvNAcsnvrm; z+_EW#h5?CTBMr=KoL|!1$yvClO*g~MzP!z^X>J&DzA%V&2{6kXX zB?-xi*-K}>6+OyCIAqKDBo5j0L2x)!?2z-nIq6_;AI~Icu@!$c{2M&F`>1U`z1lSg zN7I3z6b7Cx|0T7eJr)-WGQtZ(n|Kd{9u#Eu`?8AP>@G;zhxI zcF5{nIY~vvT}er|TWSd#O3^82{IncqW1)g?TrvO;XUwrkH~ykTBV#-^IjX~j5Zyn_tW6et!a^M&|$mtom2P!QFve^m-$`cwyFPbW?w)0U<2}bv5S=hF-Y0Sh zssmu|EAAxduNEE4+wARq4$Zd!6|`+2exg;`3<`Oaz+;OxOcX{ZlUn>qh;ZK%{3MLv z^>lG&Tli%Y)gx$kwqsbJIDO}Hg^U2yI-xk&)#_L=C zo&Th7m=I$=(NR)emjV^WA6!hBp73f;^3IB3792mJ8%vYqP+r=L7oSiFNy_Xk6M_UI zkx?>4&2#e3V>->vidK?D=O7u@tAd_oT#eJM|H9~_bLZ&*pGK-E!PnSbcCh2bI7s-T z@A5GGnW?qlD@s13S~t9p47x~mwKzK@gR(%D+Gi{OIdlNTJI`lk9ff?i}=5@ z3VdT;H~XhkAQatVKk5by+?AY%)Jpn7`r-yh%@VAZGO!F6h}`fixo#9KE!8{DA8)ky zDV`#ju-d7Z~x`1owZ)vF#ZMC2p%-omK|dR4A)-s@&_H%=ZdA zTVEVVqzp*wnq2BO>z1Cj@A%pn>!_$? ziyIeP41QE2PEGCOkx`sO5s56vY?r-IFU7~)Kd5X^@vLn|Iwb^8ya2b7Xw-R6!}|4Y zJkIXirjE{;c)FUz*+z{*aQ9xsI%cQz%f2r~@3BpHl*bt6#5&G~bKY@*gF|dyZ}xZ> z>su)HX|bPqid=`CiH3n(=^! zpYN`lR7O{cJlT8yyR6A~XctfQ;6#5(@B7UYV9f?;Y{ZNLbE-rcjSlosY}J#9-f#|* zJnd+^X)DV(FAJ`sB}~?93mq#qg!;A2daCEeIG(ixTAC!d70alyMO%}%l&#b0rUc~9 z$LCkTM@3zI&+|+B_cvyvj}i&;QMHt&)bvCQBOE5R{AdPKKw@L$lwBcCQMMNrGz&_7 zN34;21*F_`j||1YxT)nE^Nml+Rj8ak{k!N9D5br#jj{+#hJ0o0ikN_3ymS{lus8Ak z^u!^~7T|>i+a{O-+i|)u%xOUh7LI?YiqUykmL@!zfRm{d?||r9`ZI8BqX#i#cQr^0 z(qxa5E9SLp(zNMW4@n!)oEvP|i?K$@X&;&kYt@$WOh(d+oG&Xv2Q$_h>b<%Q&HRyb zRhiy+hd!hC>h?5EO4+A%=l4=Fl_G0HiJuUCGeG0{y=ZjIre#28DC~b><_fbUZT?1e zovq6EtUdnxPI3@&<-vyI)$5DIa`8Y@-Mfp?Ugj&ewk>;uovk;HbSi41m;EB}RpjJ$ z-4eg|jgTotT`vtZ5<=LI(6r@ppgn(nUZBOVvj$X=zb+Lg{Um{<^g8nrYTcBiw@yDI z1wib$FAV2k#rEwh%Ftg$x>_kQ(M|pAKNVS>{qOWYTmF&$r}v?M=q~*4?1)QGUAejc zcZg-#r}jSde_3xBi{cPzBt}1vOPy8}6Uyv#f#H7zk?~ylFF@p!H9`#)6porzJmqB; zurQS1z9TM$LYdnI#kzhxt?z)7c`^h%>}z%?v16NzoTF;c^G1oYA6?BcnqE=g1o{H< zkwz{gwZm{Rw7~{>qr{#JK z#iQ(`>|3D| zrdrY|LZeAY?|h#CbATScG6a2>6Lt(? zSk_;hm$o|b1BBGK3=tK2J99J7c;r#gHRx&YyR_)LlYbh0OuG8U7%Paw6*+`hZ7RDg zD2Was1MRzS6PtXF*;cHLqEUoS-vWtIW>0SG}?uz{ikanZtCU{7ynV@~bv$5)LLrNm$+hUJd54DNP`K)Ox2ZRL>#j{yq9b^>oS!Y`eUkC^opnukT}3Cv zp-ee!yfxFO&4hRrPV1xYCf+jM@l75-mjFMIQ8Lm}_`Vc@|CVWLq*W$>8O?6!X_taV zrst-`tm0CJdt)4p@9ah#pr_yMN4a;yeiTS==YZ`aTL(3o%{@Y85g!0aB1y^NF`l_N zn%biytBb&aU9>fyaIlxUY+rT(sK3Vt;5#VyK2@Sx>yuyKdQj>H)swfOJ_xVYn`NTD z9((Xwg$w{W-MM#ou6_{F#6VkEeAEl^x99Ov4SRb;X5AFSOjq*AadWOG-_S4( zzdEZ$5$D3@Ck!+7!vgGSndNLkCt;V^kjQ~{9m zEk|?K6@Jc#G5PT5c6U5UC_j=*^XU-Q326=%76&_KlVjieGL_V7$H`hKKzPQ}7M^5d z4~bn(@Uhu(A1jX_aWenykLGd$?6_01uQoaJT?eS$qoOPUzaEg-Cfr_!Bn&ERqc7&R z-TR5<%xVYrlsL^y%u|edSFMdcVkIN)50Hz4iGa9kwkIAtLX)K^QGI#{t6||eXuTnX zEf!Fo@ICt}Z>T5-hh0n>zL4BbdGVl55gqu){n32H7{s=u zgfdr4yf!&NrT7*Xd-j<&uL-VrH#*q1)(0s{gsLc_G-+E=10`{o;KZPw66S0o%_%BH zkMZWt@46uQwWRoR`^0WG;AQ(nM0?FEJr>AJ2C+$h>GqrCK;D9b=fK$+*^=?L z579#Oo?`ORNM8zTYMbr(&wmpl$T*NgR=7)H2W+BP;e?2qBN1bgGxeG(#5vAd9W=GW@#y$lh(-j$OJ@Jk$nsLM(i zO7|JVGXLF|qU6x`r;nY?n-v*%uvK!uN;)d77j!w6T+Mi99q0Dz`flD1N~Y%7QNy&$ zg3W8g+$LRKZDCT!Fso9{(+Az+jeO%=Tyt)#{dWDpEsxH*Pm*5FcYGg|zepvf!`BqM zh}d$_^9nd`y>{+g&(Sx9_RPaOmbSL*c)cPM68>O|T&9+ke+E_A&lDh)&eqil7+dCS z<$$oHF_rV-!?N?|yJx3Hw0|GL$iQjIj~-dPzI#BVy$2%933WgJe9^7vT(`K}%^+t>fLFDvGu2eI2HjZ$4uCruRKp z)_k4lUtbK(U8k3Ra1(09_>Mo~Rg)pcYdW ztlf6izHti0it_q{`WrSI_6(3O3SM7LE|in=IW=O)hIa`^mBnxK#mds(9pw9tU)Hj- zv)iq^s5Ta{*LVSH)~>z$+ONPR2{fa2=wyKAxXGeOh z9-z`GW7n4c(TjfVr=uwS=~}hws=0@jedC}8YiFsJ{^VN6?Nbsad0yY~mw&%LsdRyw zG^ugzMZ2<3@~UhR_vgQMUMad z7mc!8QSh^jdp9XK%OWf1%{GQ!U zMy1qpe2`gCXa3N;wn5s_emcuX?TQcDda>#2bKXNP<)0e$+l?J>H|$TS{;9_t{YkSg ztv7P2xTjm@##Zu|Keh)A;rAbX)5uIzUv^Ay{F7#-&nSNC^8D^y>m9YOS-RG>Y#Y~e z!p)%MPnVj1ef+)u{5Qw#ie1?=wD0`+X-(q$waG4fr}(7cX^qRiX+( z;=e4&FPFs!WrdV2mhV;eio?I%D}VW*zpU(U-BJ?A@BZ_{2Kg@g>le+8?N|C#e6Lna z-qwHI|L&W%@eHH>$20uv_BX9ux)@E=qfS=e>E8Lz#a#P87y5ci`xrQRP(YU8aNMZ9 z`K2+Y8%Ta`I205XPJ4V*FN)xDX>s1Lx?{_pmSa8lP{R{+DeeOM)1n^u=XFH$=27pyRSHPs=cV9GRMQaoEh!%7Bn>G)~%I$ z_Na4kDVjEIYIf1_Hz7(6%jTFV7o*)tr$>+dxL8p*wu5W57Vd&tFUP9nVpqvweLfaV zuE`m*dfT@88hu>W67b8%O!T?^^r?no%G9X`?kp_5Zy)8$C#yFYp6MQ{5F@OaDHrQ1 z=8`d+xrh4s`Sn=zQA@F(vqg-KgTL?Cu>%CK97SM7E=l1AMVBf3)nduNcv``hO2YMgAmhf**dTm%<2J@v^m)+I)%Zs=MO@vnK1(F;O8G&^5Im( zkjNW$>())-M%Iu9i>7DPZp!iS@2PE7t%Qu+K1=&C#lQV6jml@%AAyfhZd0PR1#Bek z8v{!}YS83*ds=3fcXM~I=5|8$A|3skfvF@T3htqjG&7SNVwA2O?_d?PNjIPDt}csK zK~eDK%W>_pXH;uRf5#&iG6f_2mPJAF@G~u)dI+=>^3<;0z1tzl0jHD+A(};fmn>P* z#Wr3m^*ece6@{+z=jyh$w%Rw!Zf(%y-}ki21`=%m{8Ld;v0}w%{N%?av_}V9TQ_&R zWZEg_&H*K=y~3Gat90(%xiIyQ+O>Ulm%Vjs!@Kkv_oUK~q@De>w^;8A!*jcmV)~N{ z9R*g(`0%3Iq+X{xEOBdAn<1)Y@!9M6Yr}cxsR~Y?J6BP$(Al|yLZk0eywk=g3gaFb z9ae7CC&s3B2At%|3fYXnHZkX2C%SDNc6gD-K3usgQcHR7=hYxG^=%J#J_xW{ZW^BHyib_n;Ubu7_J;}D$ zYqly27Jlxd>N=H+ym8~V#fv9Q{){qaF3_5yA1s?Oc+kur68j32X;C)h^@{wyLP4YR zX7DL=9v>s(Y-siH`ZaP15CubfLy zc2Mxlhsy!n(vyFr-}r-Jt4RNOeXBR@*5>gKu4%jj;P=_kc)OU%fc;N{uplA_MJPMXljG%l~o)f~Z z?|l5^iP?{QC^HAC7CUt4;1(3r71qG|ydw9~-LZa+qG9q3?LBR>A3c5?TW!DM+3VK@ zgM;dH=+-R?H1gTox9drZEr>G@KR0a9;7Vd*UEa!D^JY?92cq9%@?$05^qlodw0`_Z#lzv;&}d3n{MG-+3K zo=4IkA^oIl(U0U%r}lKn*Ug?GYfC~sm8s%|gX@AiIap8fCv;g=vM?@7_DVru~(Yq$svs@3Evj4^AB@%&6iO z@8}nsGZfB?vN=6!Ms9 z9L^Y3_A`SF=l1I8z+C70%qr-&qtmpSHEX&7_$UD0B}FK7QhNfrNNr4U@b?0b8SINf^1zfYz9S}A0dRS{GQ zv6KFNrSQuaUG!L@+U5VZJNj$#_m66y-~0@y=D*rCc{&xxczpKaox{80v zq5qmA|23=sfBAJ2-_tm~Kr`Z^WzD+cwjGG(@mf@rw#zN_Bpn@Ijrhjs<6$F)40_b2 zNt5!#2Xtj)3bvE{7JU7h#t|<6)~WK_-zAIp)o00+Ts&%)$3&$=$BxUut7;p(`JEd1 z^_w@(AwZoD4mN(hop3jmWJul<(cGr5yx6pD+Zz1N!(bruI=rZZNK)a8uLo>6z|k~g z*s)14jFmMjQoyf9|I*U&7U<$!_)klf_53e6=l@OtzA_@BuX(u3I$+1C2;+_cH8DQK zomPVdrp$r_UpzEp6}WJ{g8bQY=XM~=T|>9`0AY35D7`_fveyGIJ*~Ct*7dirXmaAj zi78fA71s?a-@A986Z_k|PmLHlWJu*(w{E3Bj*pK&O%5=#ej$g`P@1`k^$nvhE&bjA zxJ_^5$iXP(g)26HXuQ(r&z}eP616V3K7_-lBghp;c>QsmQV6ltx|ok1t!&^|2j0lA zVZJ(ia1Ju9sh|b|{mbx@!ak_=aag`lv;9R zfhnNbs?~4(9=xxhS+P^+&gB%qV?7q;G={$I0fVWsG%k9j&G20Q$A3fdO#|=?y z@})i-stz)tiCGzS227!KbA74#B&N&J++FaDHPRb3sA}UJ(Bwye{Om$tj1UH zXaet=j)15d2<>=xulY&{rc`J@xuim(t^!M|FrpEu5sCeC5S1bHx9-<6X^lfsT?m7N zk;C1^lcn%8@Xd4D{inVmFaVrdLC^Uh8Ti|^$Ga*mUY0wjQ6HB`j@r3Y3~D+Hsuz9B z-FW3}j-&pF5!LaT-l2RM*t~Gz} zpeFtM^-}=i=X^*TYGq~B@>A$kepy@ZXc(qWqyyTn0mFS-F1vsK{!B|!G9JrD68e>& zJ~`e(WbtxB*L%R|dTL-%g^64&*LMwDit9EBX zZ?(y;H;F_R)X9z8t57ic`OAd&_;a1g`S@~p8?y^FpFVv$*TKPZng3c}gI2VW)&g`@ zh*|3Oo&t#YA}Q9vD*jI_$jBL!MLy>M-wL-udQ1v zYgPpRTLom?q)#6WXqNH{Y3MF=!(E^f8+L52N#4tj9XdoxmCM9OwXa3lrdf_|$Q2^YX;ipm;8mnyIL`hyvzRJT2M#fBT;yY@ zy~XvFp-;{7u%+6bTsX)_nTMzJ%)u$W@16i*$jHZ#4d{&+!3D3pwBHmls#puw^_qW$ z2G7g-TWH4!9=l<%!^)Z;-^T&Nf50H)hK>E$=kh+$MO;y{JVi}hw}$!fD-{Z;Gg3+h z2M70X{@lj;*7jvIBbec(EWp2sV?YiGxJ&EaP z@QcxjYhmu;;UV!Na%*qzhBCr&zH5KiR}EPPF~#U{u+}}B z(-(&O?*FFIzvtX%3U01DvD*?VtV);ZV>Y~a#};|^=FK{uQBxu>>#PEw?u?~f7>Wc5 z)dQ+Jvb=~|-2D7(H&_>eWQZa_4%Uj5D_==X-B;;k6O8D(DDVxaoP5?snchyh#+hSJ z5G@8)UB+Q`<-vn`io3XVRBzCwDotMAkNN=52Z@{gn|ST#bR-B2guq(PYDrEXw#CYt zZ2V>4-nbDSEtr9MVNq^#Oc4vuPOgY8VAbD$A41g-$gjKD955X}KJxbM8eI5=C11Ny zcCLZ(b|pDkg`Vnl&bE1IXjo{U>nUc{HFQ!Vt_ctC!wf4A`feG$PO^^DM45PgwkIdsb3S(vl8B!2oUUe-r^(^F`Fy#8`@}I01vgGazg{PenS$G6WzFq46b^Vdn4Pc;mi%+_f$P}Z zbi^*Pun%1;kdDT1&v$rr-CDCrwD#jO8U-X7ZRYxIpV|K+A>I0MHUmeBzDD#-8b5x# zB4&osfWb{ecYFw$5bCQ-KXG}@@^Cb+KxTM2bmA&1;7W>*`W4noal@FVMpU;$CIp@{ zFmLODL&BBR&_R=164}eJ}k=pgACKWos@V&#C=cXn;x zJ_YQP)3hAnfB*88kA^QeV2<0{%*VN*G23pR!=7i%jBbpg+E6R@Gp^Qcu#6>`Fwb%Q z%z)K#w;wfYlK0&H!=S-h&fmVJZq$5rl($0Bc=FoyO797IiZS~`W6m@g4%5J((;Fo+ z!NxYqJs%EU%JSLQnQV17ykKhRYXMQLde_ZqMaHA(2W{WJPNRhQctxE{HVvk2V=Fv! zO|3APq1fg6-AOWEFmBlAumf@M=$A7GV#B^A27MeH927;n`d6_^X#hFCdDXt5bP+SBF%Gp;n(k_x^QL_GzNV%wr{P`>yWv}WYSFc?d+hY6LC3F~z8*CA z(~s}YidC(R=@-{`QZsNn(c!9U{lVj~xm~$tjc^E<>#C{{plspC^mQ&{_qc}6ORKE7 zbD{O`;tWfh8akub`wqrn6y`Eq6xaThx_3dh~Ev;9_sz34YV>niV5V zl(hApUuwLt^Gdx!Dl6@StZteVKCVUKSL(L|F{)-_jx;JWWjuvQ;m2L>O7}<_ z$3#U{rm6uIywz<*yY`Y|(r;+IGUlH0W~Gw^?@hxF17)4MG_v1P^jezx1{-dwq}sB@ z!&QqZ%%sSJJ^zB7hohfE=A)`7-*|!r$LHzc2# zRt-#8sj+_}Yx1XZR&_5)!-bSEw*Hw+NPQPA>{by~4*<}S99@H?=LYqSfZE})^BB@? zP|ZLDf+KeKfM258(&%^{_>R>S3%`77CHWS4b@_f9uD@^T%3hD6yIqTpxu2mDR{+mq zKcCD*a7{4D^v5u%bFgW)&Kx>&RRXMmPgxKDU`;4BF3{Hi3?&1GsnXW9NpoFYHPWmt z`6i7zSygq-sJDVc)Pg9=vpM`N!}MNXLtVx*))+o~IQyy|5@!=9wLS4T2_Y7ib>{TH z%87#J&>w-evY@DVyQaA zPXkpxE0O+D9&X_yVK{ zMSTVk_Z09C(m@3`vX{aaXZnUp1<@B}K5kg>1xW+fc)R5F-x zo-w@7SnchdrYYeJ`|{mnW~!eY(^ssik2gO2dDw^%*ML<%0Mfg-zM9r-14(&gO3I$m znXO_H6OCGBY-zi4*r1zNNn|>X51LUI=4X1NP6StJRW4E<{LrE)74s(7YrsF40lxL=tr{DCtq}y<)ww`Yw6&-KshkZrghCZDm7Ch!-=uq|k z@hx}s=SFRtgK%G=`2X?nddG%crn`~49)vUYah6n>9Mj5-5NFDi5^;Cz0<(ZX>`hLX zh16zB?fCPv)rDX8z5vqZ3%D?A47IOg6j_+=wqBZc=<8OZ)4q6UdW|Yosz`UJB&P{k z;MTz9(SV_!cNmOy(G6SZd*p}(@-=JN?53-*~*z_Hf&M>if|&w-ZYZs8&~^T)Ell z?L|i95`BlJbUbHlWu-;BGS$|0hu!l9@D-)O+Q{A5o3}QN8>p(JGyv1#_=JS1*4C@Z zpsqZ9+9&CuJ&pnWa2k{jPgku6Gbt3JQ7CkPp}MHGcig=B^H&``+Cs`y{#Lu^fzOCL zDzB^w-eMKJYoTugx_bam)a9)g9x@zhHF`x|9y7$<>)VH%UqbGIUR^ja$b2z#EGH+k zzlk!k?Eb5i>fTrPTB|or)?o-hi2z1CnvIl*!n^5bTolVz-p@Hir0CB#B>ojpvBSJrhYs0o{^ztrODYu28-#Q`p-WTT0}VI7j~cItH%BsgG` zk55HnyIHu4D(b7ApGVVOlExOTpAI-pv>RYB0tTKtOv<{iw=ZwkZ@{A5{QPKk+XuNK z^%g6q%sa0FhWMO!wd!xb^{2oBAMEQ~y}kYVJH&7-KYJ|5QXv62aJM5(mr4q;E!c7I z+*8WZ)9CoV!45lp_Uu5?+xzPJM?ExpHxR}Xr4fbX0uShrDPE3%WO#cj3kQlc0mS$6 z{rh!L@eIHaeCm|Q*mujnINrPX;!0}R`dB;f%At#DFL_w-c(q=C94i!?@}56ScyVB+ z^VDx&%?x`;#vrF_ty)yWf#Qj7(=hjKVr%wwLog^n8Yw(T%A!|7& zr?5rX%YEl^Dd*;-Y7pMn1O|Sv*(d|kl?>iihT=fLnnFGJvD?fdV{9vMpsh^Byj+G8 z{xPH7k5NYZAVJihu2XAC&kOq-cr8B>5b&~o+kGb;zrOjreA8|7^y49eH}Br<0k^p^ zhZToDGKnZIa4b;O%rrTWclUMGz>I*?91ihiu$IE9p;ap@Yk2U690F1uAMVl+_@IRlz%!ZQQ5~c@KPq8y9eEm3tiXU{M_o2|?%aOFIz=)4u-i-(ip3`Tno;m9V`s>5Ejx?jLO{;L|PXWF*OOE2@9-j}Gw!=}f_LEjz8@;Z-Nq^yI{fBr_+5%=GF%Xrkx)xr3AtiL|@Bz`&FH2XI2T zHicKAa6@8JQZ$>iW`hRnf%%@3Nde0(%X$$GQD(-dgS#jt%H?!4oi7kD=TP6Jx}s;v z?$OJSACSC@i3mmHbanbYn3+O)r)DWS2q-OTf~C$M5s-$1A62^N_5OL)s#cAJGTnG( zKlbuzOfS>|BHd2>xZm0ORwO`-2e~mgOEtU|2NFsWH%-)$LWyyg{RssUfXLK(#RVb^ zxkh490}jEHP$y;9CLK;+{0wRA3~?rbS43XFKKQvMXZk!$f9_0a)r5?C<;s=Mi0yAT z9NcW>{{Z;nn9lk;Uf*vyy}sN3w!Wh&Z>hA`IlJV+4w*i^C5I@>KV`;@^)$>55p?B< zw=u5&N4@%q?$_t%ZEoAd6bH4L6auNn)hNQEIp*(TKO{9c5txO%49rHBjHm17Ia5ud z=;Q;ot$}@o1n29aNe!1xO;l)z*QSz*>_Vs<30p)0MRpfy~{T%f241N zOWK-EJgrHV6;+vUQLvrVR-s_$9rYP;(E?G9K)##^Qj*V)zSk2>aK*A^CvDu2++1mj6C=C@RcLsU2Hw<20eLl$bj6$%R^yZOCWAbEo}sOlPn0 z`gQBdDWFm4J-4*7oaWxo;CamKW8tnv=KO!^sY?&i8ei8x96z8)v&qXe*$2}FGXz$h z_xi3T3pVtCC7l~Zomo?BmxqfRh#K7`_jdOJc>AXjb4#m(#lD-ARFw50tFCDmw%S!W zQ8Q0PSfGd%Hpg93o$b4JwLUk!s?DByPpO+}DCrABi+nodv#IaF&3anHdbW4{>>kan zoVHD94twy%zJp%O5v`b&mDPb^o`{$XM*bEgx69iqc-pn-=!{-RN&rdFjcfY~Ewpxp zjo;KzVW_!b7W0Q2+?<&grDnMunO1Zfqc9AD}zCF1pP%2q3;b8lO3Fyj*OS?&PI6A8VG9@Cy8vlpJu|7q+^zG9pp&hnh1x6qTJyy^0qu0bZE@pP`nO`LirDX zxrio?QftkMmq(sjC8J5GVzoX{TMqEgIq@A{mErv{>a_Dwa!SgbuP#^9&Mguty-`tN z*6Msh!49AT5cVq|pr*WPg0f!p|4JK4k!nRd4z=$OxV4|(W;{B63SlaOEI~;f8Q+PC z)Ho}pJF`L=`EZ^X88r<~EO=@Lbm@@3;nW!3KN#DKhFZM(ZAC>l*hkZ#@ign!g=-VR z5ruAi^ND|Qb5(Qx>ri+1BWZif5$O6c%g1#zxIuxQj-s|oP6XBZzOUuvuyK!qY@cI! ztwA{WW%h;Vk224g*w~`}qo+=7eR0*7bsP?8XyXbZ{wiXN3d{c&e_G1l@lHj;m^^h|LUI0 z&DR`Eirk>=#xYxNW+cQJFG>ySnTp((=Xb5(cN5X6a+s}0a@ht!A^_l8)T-WJ`)@Y& z`po_#EvgyF77anKIXc?Z3Yvkw-euh@E1v!m<=)EBh8EJrFhR|n>TO!i!chd^bsudJ z)4Xcb5s_kNP$T|C0Px1p2Ss#2`&^KB9glg@lDdx)72Cz&5@Ue=U#(nv%`4@ zor{m;!0e*4-#Cos^wF^?+7Lm=o8R}HIuL+W(*RvyrnmO_9^f)fOk6d9PZr{Ug2H%3 z1>=WsY-xSD3vOiy;uZp6Q2;AuY#Y}csML=&C5{$ZSIiJxE3;_R)rQl?6G$%L8yI!)eay4 zbhkbH6P=69kV`Z6IfJCFSg``esJXS}%?uGx>1|9%=pwwapcfQ-M{q~hT}xTo#O1x@ zT(z&0tG<(c?oiewH-}3B8ME6ZwK@PCr`5V`^G@Nm5nG0B@7K4lymq#fjGx}#11V?! z!K`-GQjO~1)TZZPW*X*-6<^+n$gUA{TR_ciyrL@-kpp1auHY>>X* zEqctV)0WPe?NQ*WXG|uvzetNfJ?Y5HiqljM3%#Ej+#LP&nzU`4kcaM?0Kb;HA+E$8 z1i~SG(uq^2#=k;I`d(4;?2YUI)u+#%9s9mX|8_llHslk7tK44tXbE_ksB<7#1i5Dw z6hC*-z%|$HLD4O|YttZwhXXqNy3TW(tC8y#V4(@c`!dI+$uBc~y^$Os-MzkgbVka+ z+<6Un?;hO)dVrS9aqHI(sl4Pm@tJWmdRI}ofCgR0t6BoC78sVQ*E98l&dkRr=Z>?q zwsw`T=jmBqoSs^I&)GmjV$7o>{`wP|n1eZ;)oOy`95L+60cOZyL0^4!)Mcm}Wvgnp zk$e$625UJ#Ri>unpLi}A{=3!Z9}%4<{6;cMZT9QanqX|~857o|K!f-PZ!Ikb z1Qh%S;fT5BTH3&)z2nzQM&^$XRjj?&bnjJNjUyjCaFDs0*|Ss0hx~OXx9q1*?{3s= z_MACE;4z|&7aasMe8P(vmWE)cx^qdTaB4hffYILL#}}kba_YR|@FPZ!-S56^w>1>d zKg!JK$lZ^f->+`SB6pBnh&ag(QOj`}pc!+w!bmFazCT zjF)CSo+ESNat+n@x(0<0`?9CgAkH@~8R)fFFXYszrTckTZ4kpY$<~>B2oVN?jM7UR z)K^q|?ZSr$eW+9QAO6Di8Hs`Mi1Me6= z@nf#zu!udy%Zo2PZC-YMf)7RuUr3W^F7*ak+~=JT$ajCnH;^`sTURv|n8-S0$gBfH z?Zs2#0DZQmhGopdvfpeho84yagS)p7^;k=*q7!|Ox**XS$Je<(1e{M469jW_5Nsa! z=dmYr1?}235w0M;kL!EzYY!l5+97Bn;mq0+9`m@v?0;)ua!YFi%qhv{dBe)V@0iHw z;gh=*%yV<|0~jyh0hAW}E;XGC#dt6(;#L2-xpCtJ7A~#Pbeaf$%R4#4!U{Mx+T{aNs>0%)5oedEBi*Oo~c zLDgnk!|tZ0R;c@^L4mX@M+Y2vL?XK{eH}3a|3YhYPUUaA&C50q*!oy~iF4#=AHbg4 zO25Xl<0l+%MQMfYiI6MWADVz4Q_`PNu9!Nv@||31@=CsZNv8t5$ODO(K7W1)-eotu zp{0(4EMuBgPs=~Qn=1QY!#S9Hz=P5D`bI^y0_UoM25G5{%Gi-V%@o3KzY5hM z0LJpps%<^_26#vA;euLfbFU6l{N^lY4PqyeeC9VYR&}N_~#?$AQ*VYg^lw)-uwuSR4ef|@n?b0X6H?awyeX=iPO1NVh;D;>}=q^ z7n_x0PGk3Qx8-TQC4&}Cn(ChWEldmCtG_%pwvr$J^~Pz|TuTd0?iy(WIzclS{vkLd zq^9pcFTbs>LS})*4AEQ*;wTtaY4etQhhrI|*Adkq&(jSEkL9;D>sWhL;q&zxEnC*%%en&6C?xoD zq<4ri>$Wy)!MoUdF$XPhe~uoR8btDERp-<==tw!3xztbxkoF2IZy_x{=u;co3@lI{ zdFGSnBd$cv<>z30`^&`+XjYKxqyfB`ph^S?9RJ1O)L6hjT|GT6fzV)ct)dCDHa9nq zs^H#^Fh<_2s169xC^9uSn`Vb=9p^rTGq`$){0!j%MKk9sNl}Lqfde>F#Yrbt#MQUJ zp4Ai}S@#?9U5Lx5-{xq$>l{^(Higa^P4Ty|z4=k;5Dst={zy99Du0w4j~o%R%m3uQ z)2%iHrM4m5hOxFTgH78HzZ}509Z*xy+}v6I(9u8x$>4as@ozc7_tB$CW6My|9r+hU zu_*FzB)f~ZH=S>X+r5TV6#&V_`}e4}*cwvNBffbOS$smzTHHfW&YJ+rvz zx3BM?1hdH06*@ebOkPCJA7Ulj8G;91w&99TFYEdK`l2}_Z+*9Myg!-|1AnIY&F7xa z(I9@3^*X$AL8nfgV2Ng&KTMN92&Aq?=Jy5DfGe5|SQfvt!Mre7%;s!cD;l{Ii;G4_ z5Sa2L{G=mLf}n75ad94bGq>L<_es4qg0|=c@Qv$@*kBo;;r>Okz#PZOn$8rYrm)*G zI4h>npX0&Y&wtJ=%va}&Fs_K@r}c=MkMTP}w5FJUC|vXNi#{`7Ak*1%`mCGvs>SNF zszzTmC*y6#pVvC|4%Pn@aC+4jcbVFl9T048&)S#yCj*=bUMMCgQG19!apM;E4n%Z{ z=FviPWMp?WDs<-Z9}L$*z%uJHZ|CIY9qoAdJ)^vgbTR=*%V=VvYwl=b&Nsp5=CIge z%XH7v(-`Tc)X$hTi|h<_3XLSOENbb6u7s(mK7<#|UK;q0s8aMgJnBlty7cpFbJkfH z)6jH)8BrzCk(cH+|LgLvRa>{Xf^2oix#!w%0+0LI%a`pxsEr7C&T^%35YUBg0@p%+ zr458U$Qq^3KILOlRs~)BjNnMsocl3#;PFo^|KJi(;lqj7oH5sCLxXk;dAIF47^=h> z9rEpim&1kG2b%#T!5mOG`227~e{;GM!2-E4Y&zRqgh?F2Fl-N7hQ;0G>_QQ^mg+tor4hctTZ=uA<|eX; zSo@+IrKVp;DKtLPvEuWahuX@%fCt39<`nD~?9%Ws>LNPz&*YAq6$Gw09$8Fnzu zi$tFbXO6`YwPSM)toW#cjQI=#yfVzow@>o;dFHbD^X{_sAf~&w)uH@x4r(YZQDv}Sars!X2Up3GK#f_a2 zmb%SooV9?(P%i>eTc+&0Q#9*0pW%+1!oT<(ENDpQCT<0Ki=a)LG)gX|jSvwtEfnub z|5b(6+2#Z~`Rjm^?@tTc!Nr9I=Rc$lg*0NeY5UZL`}cMeDmcmR6ize^-*{~wD`K}B z^Bq_G{C+CQ^>y7z+Pe08;mp-L=6rB5Zp94*aSn$YfLqj1I!;QO5o$uMpS@;5yD}1J zD9-f|t$;&+P1bJv^uo%9h=13CpG#m=bcE%(5b+inH{uacR0W>bIyF=Ag`-e^w((y2 z6-2xc>KUMvdS=$Wd!N=;8J`jD36m$xT%>pJlkxkUIEo4968*1qS=v3)U(xdFSiE?Z z5ZM~il0VOw(Kl}yO`ijZlz_TYu6_=XnKC_-W(5iu2X)HHxr*{yZ!Cc&m3ZX_eD9N7H7 zS>D_-Bmn=msp{c(q`^LU6Y_5%Hkg4cOErkj0SFX;Pr7*q`NamoqIYg9RE@xJ?0dcb zFX`8GEK2-bs@MotIn>WV^}(tMFf=o*vsdv4F9W151QTr$X44181?>J6XV2PMr^a0| zn%sTN=+WZ$hK~w%SV3yAxr0L^lH~PV96E40;p)ytvuIDaWveEB@yPjC&M_J)f&ec5 zJ8oaWm$~6@vsGSpdBZ*J&Zlj?U5Tpx;?Avej`MNXd|iIj!8m}Q4G+PV@Alzv1r4Fc z&%@lUEIa$hw@bgab@R5VQv2x64PZc`X)|A)zjc=gX&Ct;P3JYnkmL|KdH|Wm%|&Vf zyLN&@fNsI`=|_>ZfQ@n5A;fWLXdiqE!V&@2Wz=;@OMJ5$-$D+9)Za|gV8wI?ORNy{ zQc}0Wd%SvjX)p+(9c$V&HoFz535W2lM9n?LY1w!o&5IgZ>_a-7t~aKGDbEa1G?15&92U3b#zyB~ElFNG?V2tno}UAwSZ!R>5ASzCns~ZEh5NgJae(naLf~r#`PRq)U7dG1;q0lP3FU2jGUS zIqv$lb*O_n%8#zj6_;)LA~PC)Z&U>7i@HuJeDz9`U>!mLuV51vGeCH_-7&Z9?Cg(X z+3Mb1$3l~ohB4`LO(!tT_{Kl#_N(j0#k!^sZ@fMA@|*b}*bEY5Ytm_N3|?Zi0XOiu zwmNnOb&S>w&<(HUMTZRc+G*-O87oAj!|JmGz6H)hQeD7dCIbuCp{gq)s>cns`+$yh z%}v43MGT;t z2I4oH&e-^7Q^H5ixVxtpO#K?_xE2Ty{MIn9cnZ}EK%J0;7CoE)8l|bmfDU?a^`C#D zl3NB}VKE5L&zpDR5VT>h zpj-WQ&;_{dk7|Gi;Yfq~?sBDV`P1#4CvAEAHLdKkvqN|KjwZZVu>S6@*EHp@kt@B= zx#{Zq=vIwIU&$O3Nrnt!_@BsWxa^(5Ws7e4X#xL3{G;;t^8L#^?rLa_fvh|fM{pMi zh0NeTT~lZ;I=ft$n0oi#rQqVEsh?`qs;?UJ9XGx*n!o|r%GCCwaxA7#XiI!iNP zn)Bbj4Mrx)NHkOxei>k$B4NWap6G8E4f-q$CSMl#Yi^2-^*nY8@c%SQtFvuLubXhE zg$a$!_Uvi5t6!g)HycS{!<3Ip$lCmHf^Q>QoPR8yJ;hj_|LRo`Mw)nJgGQlw@y$OjG7(?#++Mji&(?fh z*hg>-FR$m!DK|GB+$td_jK4<*tRKzAtvy8AfE1}MgA`mR<)`C>V=bJ*8Vvy|LIG?g zHyXKB35z05Q=TntY=qy--FUuQ#>^D#J~B3s*zI8O0XG&Kw*9OxhoTr@X^)P-k85^= z)0CGcqZGBjFkxx68x?WQtsQq`wpI@67V_yqP*74;ok}1Sj;xYEK1*6gU-3enhM<1mgB-`!#6HdaU8seR?28AO30LdawG<&<@@0L{q6y}vdpJS7o(&ET!$HMJh7z zvUB>$(jjy7o?*>JxiP5uF(SFas1jc`c6$HY%NS7A=f@U2M8iO&ge&N)q%j;k*p7Iy z!V11YFjS)6tKAlwY~nL#4!F03ayYpAG;{9oe#ei^d2-H_cH6V)PRoDxIjWhJjYeqx-IvWbm@A=_s^oAUir}lmnQ{VJ^ojDiSj!GX92RxqcifW5gM z3o9e{-HTq!|4TRpzfMgTB86RX6*z;=NAyL)Y3Z%jvz*$hYn*jViz-kMz`dS=^q~e0 zX$B^E_#t#nv%RO-}Vd8VFsO0xP5;(SMlD(!3J<6)``e| zi`&y%fSyLocP8(LN9hksB`TbbQ_l4wtMGQ}2`j^JTQWC-xLsOd&DN9n8_xd&7y;Sf ze1a?V(K6uu4dSlc4u`}fjwz?x6z7!oJwG5N95v`9J#&5b3H9?hYcm}GF~w^(7Xsd9*^(?Ey2 zjpU6IU{RB(S`kjO!LKpzd(tep9@InXtLOm-oc|WsL4MEi`cx_RUIr zAN&73ZQnk1qGEv@UxNNo9MW*wL4NXN;&QTX*kliDNPi~SUq`Jz zvGUU_@Dc$UU?O=jMpfxmB$;NgMhnNx(KMJgZ=QCWqkFD{ipWypZ{j{FtPlKOm+H=-4xCJ5F1@}S_vL7@B!wOe+ z4wU=LfO(G72-FZo#laGjB(rZE4>yBidWzhJ8A~!3#P)%|=N>k9=M1w|pEda+){xc= z6(ajpWY`h;1pio&G!eHze;vNr%`eE-Na}gC1txZN1+MbHCu>7Wj>5X+*TST4Ibxoyzc@2xKk3S(Nay zD%U)2816WYK{7}y9q63SR~$ALTyP@uv*OEvVAONxXbJgYZvF_@8xY2z%atHWu5-76 z-W?vGUT86?=dXDW;`T>;a*yWG8o=BLoCk=5S9Qlb-Ov2D#;-2gthb7YE?+)@D^VkrEhj#hi$_}oK)@n1m`Dy;H zUN%*`nMyUPT3j%k2EY^bg^1MP2(Lp>d}?{=_b2_u8C`eL#T@3gOsaT&9_HIg>nK+gX@w+5wJ@cV@waWH$Dd$qhjw07!A(! z`SWMN9=)+B()sxA-){istP7&Sqs51a7BqCcCE!19E`0%)jq~g4#Oa<$POH7-im*uQ0%nl?{O_bGX9o(?Jw+=p&0#|k%@QM>@yH{4FwK#p zv5~2h9bUie%j2nug8z8r=zzK?3ZtwF+p|lguEk}>Xvkmp(PJD|P%*BHVT@lb>~SZ@ z_{_zH-?>FYC?HaBhfu))LH8sq?_7AC)-~6~iBVDU#fpx^{-Iv5nJzl&l9GjJ+{9|n zHsMZ2EuJb8v6%NOCd);164)n}CZrjiGvdeY5G)s(qKvGw@{1j75$+{ZDt|BlDsmra zetBqp+GZFRG|imt$?parm{bHY8UE)8%b4LmmJqKQ;0U@R)=>gM0(q3FZv4?;pq)i2 z6HMfO&kM0rX^)WZ2|DHBHY03I^CnH?%fpn6w{eJeO$ND<^Ax#yI+8?2#oU1z5{U=0 zc1?U)CHX_aY~7d;k7ysAIYT=dtZw-2VXtTpg+XN*yvT#^5)zmVSRm4NC?4(x8C+6v zPy<3ppgK`L@dJf(gWXb+eouXLcwB9o+-Y{Fn}9d{M!~Ztutx+_ETpUH>FqL#opRSL z7v2K0OlWd+nKd%cy}k(O%~_kd_tm~Er*lh;q`J;%Pr69*!RAzQboI#kc>ss zuKM3uaWT%`DYgIKht$=PVl!bj5D{P3n6EV%TGk_W^w&YeX}`QhNO#isWi|60uW}J< zqy8^B%_7Zw`m+Y|3kwha?Q1!li&!_oQWU_tE0xP@fL(NZPw&x?3d>+ZJr#GLT>N+^ z$1*()oS8zg{g;#GS`LBz5Zlt01_zUusG(%;oj93G9KB7>%Z4NVWGx$r!&>_6h>ms^ zU8V-NPdt6vhCeGB3ua_12KbKpRY9o%1%-tH9Oe5NL=<0wfQ&CN#?;vuYwBIZPh9iI7Tfq zHRr(Dv;D+yvV<(O)OVbmaHA5zEX`u$WqMq(Q%}LyoV?0U$1bY6OJFY3X0=HT1GJcc z@aPWxy8KK8xUEn`MJyn$&4z0CFmjXa*%^ZtKY#vQfa|SCnWl%|u#C~d!WKxRbrpwT zxVpShpE~)ne9X&|CKRsCx>C+`}Y zFV-=nbLp^2o}kI-k5owKzyUZ5hB7ElM=SzF`f^3q2co3m3-6`+c%|IxC~=OMV!LKl z-nWcd%}}Ikw_jqP6iG5M?Qm}t2Y^T=ELC>P8>zM>VKSqX<&zKshr}5SWkEq;#*Nq= zYP*u#8a0(U|6J(D2HW~!BJV<|JAV9%A7v)w;9o&-xq+UOes&=XhX&i&d$*1{mn;k) zd1!#dL&yoniCwe*ohw&{4BK$hiBu&aCnY3?qU0PI@k;yJ?8QMrake6Q!fx@J&!e2V z-}7}VUNGgK%{YxsQC@X|qyDD>_)QVRi^G@wGUJkeGiz3R!v@1r*96&?ulO@S zx-Y~}$e_jbK_@M?5xMwHQ(Jo|LOtYEKnS)o3B?bR3@Vfba%9tRh>1d~JcUU~an}JbI2%IV^#)YP4_P zUdJMCK&x>3kvn_U0coSXrdp)YXX%;!(eu#;2fr$UC4vLVpkqf(q_m1J!k%ZM7g=ol z#DpXQNqI!+Kn1IJ7dR4KjQs|d$TXIaJRZ^DQyU97&sK(RAAV4*;j%~c4jCG+mS~_6 zBZjV8buKN#uw6Sf1rx$HK%(8Gi7O%}1MYB2o!B}=818al5{x?RryjHM|Is=^X$fG_y$?gR2iy(uKXdyifgEAv{O@a-+7uSs*qd&dv z{a%2Ta>8L)QU|AIQhm|?7*huUOMSUL_(L~>dN8e&yQ>-xHGR}I_Gg>F?{_DnQLxmrOGJG6RNK_N;9A>b*!m+lHKJiGiU zVJ)EYf%LjYOX79brGuP`iwC_{_cfK?Qm&{=HgJlZ$D&B?_50sVaMD>a_C9F2EpDQ? zG_c?@R%LM9;iS6Zo$-{or|RyI*f2-Hr1s~-uf@)^-7Wy=6WyR!J*!Jn#kc2^yq!lZ zE&HqCOh(zdVCcKtyg0|;7anX5vh8Ob+JfP&zHD%rF}XuKl(V6ziL_>HBZ*%Sm=7a4 zecYk-*ZzuSeppfYqaQY}I6OAS*(_JAPvVd}n_8q3{=K?eY`|5RY{mHyhi^j7V;reF zf}G)T9ScrZ{*@|Q75akHTv3>xA{k`$$F&WC3$OR%$EU1`DIQJH9!nr9cGoefPq7Qo zqsne&#dTX_{}N<==9nL@_c<*k0G|qIStXzgv~9;6a)NwPF=7FrtS6WQcdtg3OsQ@3 zuQ9g$9tM(uYTJd&r-5%Z4K(o8VQh1wMiy|RW*P<>6YiFfwqNlj_5(DyHtbLCtYmEi zS!?JChD-_HurUM%2KjX`6OD6T3!m@FgJG;`Hjng(atsC!ft({$jHYGTJ~r5!P|KJl z66nMvrDk3kC3bajX~V_Ejf)NK|D3L!X;Y=L-|;V_T)BYk|M%2&ihXVHCBm@+e-lBS zn!8aVv_G#6@(Snz{)F)uVz9D5^Vb@0TAv za>SGKn4`@Egd3niUL*4#y0KL$-@aa0sN4I#gQ!1Y@3^&X1Hv!@+V-DD#w7#{Wq2(2 z&@H`gcz=>?SwxqY`J4v+moa+irH-v%x9&AE1Ol;LrDbH;q!Mb?lCg>?)1!`~j8>ky z&2tg*6S+E<+KB|W^n)L-3aCz8<9zD_D3V~6O~q>iS%CYx6$iY-rwQf`7x;_;AjmUj z%@UmiJWH**b#r{iG!^TmLW^>h*;f0cd3@DTa&x0~Oascf1d7oKGFfkbS4SPHMtET! zKTz+Uom(5cZe01OgDToPq}8BvIax;jm-&Pne_l9eOWqo|tDIQWT^7Rry9MrOa_xrn zf479IwKNUT3&oU}P+!HGnwaRB@{Y>a`Ay@yJX~H8v!~<-mVX5!AcaGyFeDJt@oygA zt2KN(no>#KNIElOax4}Uc>_@uQ;B(`<427)IpFZgY+AIWpSwQA*gghKX0m(v)a5P zQ35}A9jA*dZ%_2#3^rLwX{ow`4Bf~i{CD}%zVQ#w4=yY!>hKF1?p^XbfB{{y0d`pK zyos;+U&Mwc6C#?&)TG}cLs6d7@OQ$)PYMuJd33k+^ix8P$fkn4yz*~ov$Q2xeW52W zQ(!nJgQ4;cP#whovfM+JP<6jU;Zcfk`TMYq8`r@m(`RzVNgWZ5lvoICZ8v9itf@fb z;jtgCmw3tr9#7(F8F}?qywnMPyRnY8wjbRxf|ca?+b^!>vXh$q_mY!%^Q%MOq;Fg4 zMQ2K;6sj=a$`9XU`cX4qJIkq|&jzjUtB;fPLtg3!yHQrjEZLC_VFcvbuQo}?^APV%cXc~}QHbWkG1vRe(ow@egOOfV= z<@2unws-A`Ul^Lze%!d^`QPMd6^~cH#!JZYR}{(onAvZGRww#FFtF{h+AIRxSO4c zNEm{&3Q>T`_Z0Y;;|0*8!(&fUf7ovv0qfZ2!lvRw68rb#7c3W|%;bH#kB-^1 z`o~8b0;LT8i({4a>z7^^s*_jy^a;Fp@nTw-{kVUSsfym5E~F|)ZsD&=pK1|3`}bwv zmq=-4xdV!A#!wsg6Mjleqqbf#0{^x;2s;545<`4om^~ zjHxpKn(*8KU88hdv=i`E8qK}+_h_8GS2L?%9F;#w#{@pH98 zfi$jY`;eIN|BeWZS9F_wes_)vcrr#B4jy?1t-!PVd|F{$zz)R!ROb^Xj#|>cq)|(g z=YRVAS!46V(~;?uA0`t}fHzCDra&(eSc24}^k>q;;+b%!o-c1T)igM>s?S^va0f|} zK!oOWtU~**o%=broo&a~kyeDE>q=HueYSe;*KHl`)M=wdb0DbaA%Dws8~9Rk=;Q_- z@Ug-%S(*QYak))?aWUCAu`T9r^^K3pNAV;234)E*0_$+-J8Y`{if3t9m3{mQq*l9T zB2kPN8PeD3JA3MGn@vbTsiT&V)ZXVkhU}4evO;OWSPeS*`hnQ)Zk*N@;JH(`GiZ-o z5o3$o7^RscRLmcEZ@ULufIWBT>jSyS0h$1r%pIbw`>x z>u{qPp2tKRWNvM}p18CID7*%){?SA(xC)Iv1v049vSpVKvpY+Q1E)e%)UoSJ&dHT# zvMMn5Cx3a8K)?dKyz{TqoYZh{YBQ$zB3o!cOX#rDB{~h$+ZwWDQqG<`r>;0%h}%Jr zA(3_Eml6o;1rz@ta*bnUC>{(R4h}D|YKvL2TQ56Znm|$+SK2+s2hXSlPQ1C>#3ONt zKGib6Pr+;ySl#tgRPzBdBpW&H;*S|VuH|cwy%JUfi-cG|&`J=(l+cLyr#45|{2f~b zeVSLXwYmzkm2hmr*8t%|DA%yD$?(uVG-=YLD{LH*ff932mO8ZA0xFzRk}J`CWUol- z4YrXJC!|jR>j-qtAkere1KLo5u`oJ-FO_)NG&{=iFG~!;%~)h%7JFy&>g9CVJFxA4 z-U-Iy2DI!sDf63)brXoCa6l!SGv}h$X>S8#yI1o+s_e{C4q!qoPCN>9m}WjNXr=Kq(8dHnEhY*3&j_VRM=sl%syQ7d3Ivs zI!FwBObk`gYZ~5Px9mj+qWVNRF3lvJf>%RN&y|df zz%ZLm9WNC;pgbpXks(48<~n|OQ>xPVSGs4{eIEX3JV8-iuqju=xsoJFp9@aRfdMYQ zPmr_zu{tWJw~8t{8l7>!l$kSTv;kTrLCKs!lo>pHe*O^S-IYJ93>x@T9afmc@f)tt za)W${BYoTM%|Ss+bWu!NI?Q3hxsI0Ph0pQ;9YI9seia4KjFwv2e5!06$B-;oXhysF zJ4~_Pe3@O*Y{bF)>R-$nThRWTh$C}_zF&;t^l!7gd}g-ZqgA?djWG_LiKV*X?}v>Z zeVqrfkPA1+LTMBiIOwU@#ybF)WIzZ&MSx|(T@$d9j7SqVEX&tp>(I^{<@~Xhqh~&# zB|<|(8D;1Y8RjLDfYVypJiq2^F@K_c5rf7A=a7S$J`?{r+GRBbP_phMHTXY-s>Ldo zPB9I2jYcrni@!&_a~*RkR!?7GZMQ5bU^*PuVF;(h;%tPFH`A(&gc~^5_e!R%VcHP=laYKq^9FjY{4yBkL;6rUi&Sn;)a4>~Ob1G0104_^|30fu^ z_EUwA+Edl7P*b3^CxBvm)}5d~{@*eM+Ru= zzTQl7EN%acOr4dejVGU+qoxoxvfkSXbn^uAY(Os+np^(g6IQy+e?cQl`AOuy<_n{S z{!XftSQl1?Re%f~R;hG#Usqix6*qApvIIuJH2e-FWDMsc_)+9WglF_HD==)y&dECBHywhRbbVvB0PH{R-^+4xJVeON>wt8Ma@ zk@7D4msy|F(QeY{`HxTxOS(bjPE3jVBK1YG9W`*}Iy`01z%_*`VNxPMmmmtD3Xvu( z&7c-^Nl)QA0tZ7Hu&ZdT$$WU{k%#`?OSvp+_IZyw3)zj3F7w`{2rVfdm_lM>J9%$H z2955UlO_Q^wHr6f8xT3Pj@22_a4qAfnDYwzRiAf^s+z*s(Do!H{PlBg{d4R%_+pi@ zu@>iS8u15pI0TknduU6h4e>M@2-m*!ap0K|%6R1=4 zx~6!ady~DZsiox+x%7f|Qsy=w*zF6@Q}tIw$3Y%Q*4IY9#V^TJFWr~bi8FJ~b8sSTU5B@w-h%QuO`<4z9I3_@PC%`51-_Xsg05I6yp zZs9=a&^XEZklJ>r;Mz{Pww*k|2K<5Xor^jV+jwa7p2?ky?vIDLu!KbsEP`8=8Qla| zFZ=%XxCmF!H5;~XuL9l!Lrmw8As!QEX!ZhtU2b@8hHndO$%fZdXywcZCBzp)t_;fn z_ZR--^qE8-zPse zTJwJrVCG1$7quJ!-cN97Z8I}7iL#=&lfe}>m8(&J0@u+w5hsyfP@qntun-A~EDX^c zq8awXyw(Nvaxwi3ZLj7)Mi}F`c-lL3G~Ou;@qBpqX6fFOY1_+ z&;wmYoF%@SOV3&$PWMNyFQO2!24UuUk(ZE=z!PT6@z#@DE(Uw|{`K>lsD6l}Is7Jb za=S~9cSOwNmqrd=VN}$P$CpJ?(=)>kM$5g_ zTu&HJsZ|tsARw5eeCs-S*?i*k*9V+H+U0tf-ugaf-lF7^G4+Qe^xt9Ab#oM&q zLo+}V#a9Xg>o9A1)%8XQ?r1$kPAwi@4)tRjBU#yQRksUjS@j-gl`=6{B{nkA8y~ap zaj$5Q&-X?wtZ~chhO~dXqj~Gr$N4;}ku<;CwrmJG`IK%?0xvGC`PE8Ey8ZVyi5!xO z#OW(AYvbc7PX(gG-6Uux)P$KH>&UGn_dTm=v->E_-2Wb1~f05>#(jzF|upBysj4ru9bpUNC@lSmDXHs8`#xiEMu3JOrDD@)5N zphoW|!iW=Oj!A|ck_U-CymxHMfb!J_8bnG-&InP+4JrOLH$PmyoMbxp;R#bvFl|W) zocjB`7%hWE9{Ls?2kq*Ox92hiK?ZIf(DPjjQg1AdCqD=!k0&?sX&T^6jZcfQj2VTF zEqwE4U%sJ8Dx@o9w!>9Z&&$h;j~$}zVLa(yL!oGNyhox^@r|!pLcba@#CGxd2Hdx5 zPaJZ0u<#8$j~5-AG;7+_pi7rgl?x#7sm`LQn7ZcYsUrv6_po9~MOwXCe?h%^^(0Qt z(#nb(km@53xX$bQNKphzE&rBr@18DY%NiHd!ykHcj)9(vfxR@if}(nW5l>=9{?j@W z()=HihkM$hnGHxX-roN}!|+;Lai?J}?dozN2yGQ4jcw|fudSxSk@CXz$a$5771W*& z^(J%@o*Mn+P{A8fHU)(K8>uN5TfKjO?1euoIJl}dt5!FJP5VAdenSC~T!^C;a~5JR20bA*w(l-gL%+kh-qgRrh~8=U?%l$um2Yhh+=LeK8Ug}OW*)jtLhU8<4t(*=CN#N| zH_E`Ss`sEep3e=&=~ZrWtak-~*yAG*dI{VL2Y4+Oy@6#)@829&NVF~ZV)*Xe z@prd27vT(oioMQ!l!N)}+}Y#JY#(Kv;Z5bHJSGKQAs66}=aB#@1$1>tv-X$Pc(WO@ za38>bzm(WRhi1JUFv>EfE|t8rCf&;U^-{{e-FW%2=H@xAAw8-zDr37(kZ z`aZVLCo`Xp$*hDq*@x;OWECy;(Y8k(C1Et?tCY|uNIE4A{ZPm}T66(<$r#m#g)j8r z{rxLxvxRLE>l32hK97G^AFDEzFt!LK`mojmd--6_&MlDP6QHuoBX4bd)EcOTAs~V; zDi{GZ+sv~z(i=rQn!Ilz??k7ezZ}<$5ZFM!H-kG9@_tz|A|z)UANre3qb!>t;F>9B zSJaqwCF|eIL~d%6FNFUFbYYjrhhH%*z~}UyKBhI`_Gghlo`(mOUj%E~=2GML>}Xu0 zSLlYRDxoOej&zOrBk9zsbnqeop0!wx1a}~Wwxma&KEiC$&PL2{_W|jyqIg|ye2+pY zc5m8h#n(GurAU*@qN<*hMe!$5Jp440SWIaXYQbhLwd$a%m%_=SY4GCG0?3lzz&|DJ znc2NGWgu%Y#wo`ed|Rs>x^o_f4T@)WF9FLN83ZMkSbWszvO*w{rg0#M_? zK4|$<-v8eDQ}InG3ZuyI(KeQUxig+c_VrXT?#YcU&fKv@qJZ#IB0-Ss2U-KgmlpKu zojao|1A}+MNzUz7JtNNWv99?1`ap>ZwY@J_(MaMAVN$d2#|&!%|Hej3p1+qL&f3!; z07eL9kSWPLMM?D_!oiCPN;2^`qWe%&pu9MB$EWxtnPpI6jBRZ#|B5I3Rs5yG2M7V_ zhZXpk%SA07ARU51@7|5+G9{o_gwJ}Mq2p$Iu;lIk9b)U&t4H2~{l4_G99C*=o~A#J zd&a1Nlp(oA-r$R6u?21f{Ltf+yWQ)-_b!dP&Ny%*MJ@m_e{>+580o`QbtJOg7{jzB ztTF@gQ9P#QUSY*+*ci4I3x}A>>jIXjp>S&)*;+{%xvYo;(N0PBjUqMMJC6ec!C(zV z^z@-_aKCjF=g)LY?TJGZ;(5WPpX=#S40`mi|7R<+P|!(zxwFx3KP`S;#z~P^(q0P= z@u3W_oXAFz!?)-=*2-w94V{+6Dx!WPLi;j@BTrgXBgFP*t`1JmL^gwzIp^fuhTtUt znj4TS-uyiX&>#{kRU&i^kI)I`SfWhoS$#;m<)->7SIEF=$tES zAbd+5qrD+g$G&H+sr2K#md2L_bL-x0hnFxM;?O%&l8d5*pkiXJ-`Asfu5dLx=nk{Ss%8b2xoH)mpym?TE zhdKm=E+=mnpEW~lV3y@cDJfkSWtmO-_-!07&8mOwF;d^GIRnK)shIO@pp7=srlkEp zF)q^V3Kq|>RU`9_z8C3E)uD=xvS{gnbh)~W@O%jA>3QLVPy8!#k|uL7=8%`QfE9!(P}4kvLdBqHIa>zPh63JBlL z#Y!v>oJtc=K*Uuvn zC|mRHNus-Ih?0^2Yh6f=t;=Oqz-#YXP9y4B+*O6;Cu@{iI64`*w*8~An)Zk%M}IqZ zquu808KEEMEuR%Re@$|+;jq~3^3S_}KfTMawM%L(OxaDZO;I|Iz4UayhAF#Xr+>@HsV{cZnbJwRW&*!}>{qbY>&((YL7e>Bbvg#^%&C0?qV zXC*J+JEiOP2TS)HnrlCP{HlvCwfu%4(b{5|@!TZuUGJk0jf+0@d$(-B)*FTij-7(j z3ml0>R4#7|IR&&O5x a`ubZp*bZ`tnA<`A=P;|$md7lnt@~fV+!)#b diff --git a/grade.png b/grade.png deleted file mode 100644 index 1fb761c4d3459ccc619c3ec7cd3d8ab71051b334..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 81085 zcmeFa2~^JO8!r6fZ`+xhL>h<`sf3gUVV8_0QJN`p^QcL&h2{_n6)IyYp?M+=NF_8+ zyI#$c=Az-d?$^%$f6iIox6b+2I%}O_ziVxqyzlS*{hsF@uKT*L`{A`$O?A#p-kA&r zW6qB4%KI1$wrmDtdiC$W;U~Xo31;Gd8|_pM+G$!Ivpap*<|t#&VLK}`OFOfZ#!DQI z+Ss17v{)x0E3szvk`s1zR%V5kqO#e-Jr1bD4 zV+w<@LwU=7$B>Si7s^}^6@YD zMPrKXwm-v-|HaNVZN>gS&n>xX+jg;Q=)Ak*fhV`r>~=ZTl{F50={QrkDXKL_bIfk+ zROid5c;WkhzRvRN$AwEw{)xeu`R8W7Uw>M;Wy##hKb*a`Wd4lFKWyGP-*ejJAC?IJ zo{c;I`MS*UuZGFrGq$r$wf^;o$bX%a{q=`^|9s6qi}sJD{o^v0U{Lh_S_H>)iDqfwNX7cgw7PjVE=l19mAMd_)NFT3Gwq<_&W8NOwveeVv zEuSA2Iizpu5Pkmqc|&__roUw7=-Ok2A&b@>`{3!+*Ob#%5@k|wOZv){E9~s-!nYoZ8Ux3m5z++XuZURYYuH@-~X?XpqlnG zhFp?{3i#N9`@4etZ5rRJG`_zc;XKe*{Os_X;i|gv1>$-MzUhONV%|KGhKI^lp9pKm z%|~+l%s&Y$#l*x`><*r9nbxx{?MGK?+==3F^RPhN(5@f}KU_1n%*dTTHgnurS^1iT zft;LO%luIJ)Bel+WrcQL`zEsLP+t7W&kxF9p42>YP<_?~DU)2^UH*I`Y)D| z$n{&yW8Yrt7pCZvyXbfbEzRo715?J$ZiwqGC{pO#t?;AcMRB^zP*U5IsPLWFSE(4# zWg{bvRSfWd2E$#AnHLZc5wJIB06p6oK^Bc z`gg3qz!UB=)FpN1dw;kDrS*MRe@5fX7pF>|B=x=*V~+L}1z^Lt-%DpsjQ?ny&*w+;7uav4?_K*7ZFqWm3c3w1EmRz; zHcQRAzFKE(ibE&w!!YMl9r0y`I|9TE(;V>~E1qb_3W)2z^yE~NUAn=%l8aVshM?=3 zO<3E==D7k2vUqy#<001DGBO0tR=3rpp6+k`ETY|fIT=yvUeE z?znP9Z1eNJFpFn};?N~QH&57;WK43?ttF+oe(t9px=$u|}(Po-ePDoA%pmPu!#Oi(>`7cH(EVuHLw@ z;Qr3*-uv$FR7tjJ4BzI*Oa9XG<*}x|L&edaSJUQY|MmL(GFW&0NPyC~V~BO`qT;(- z&TowwohW;#en)@C6gcr;MNbZD@ZjDUn~UFn_~7e4$`q7x8SL=rJDPvPPrf^C-EVXG zf}7V=3-X`oFYamZk<5)r?Yd>PNl{UeWmw4zHfyXjNU`hhtdhYtUG5L|_4Re^eJ3(2 zZWXS&-TdbxyIY^1G0z|NtyHf+(%Z+1SM7f^ z-yqdtkDQWy+n23T)9Jo${(WCxWa?ZwW7B$fW+lS}*L@%C)H@O1-&G^;&An^%;S-IB zZQQ#2j4I6^gPnneXC}smE*xaT=Obe{emd`H$!gt~qMJs)y&3-YW}eCS{?<6V)=vi$ z%ygdWB}%-%wvzKel$IZMJSWVhYY}YBvI9=3@%+fUaEa89M~@!Gv$?Vhx{q4Bj*m1; z**1MRm~3A^T5gyHbrH`i*UI}be4jx}6wTDn>{!E8}yRbs$Q?p0=GDI3hn=X0*u z?YUC(K{h=FKI_$(AC!kE6^?t*c)aiai7$^dI^yyK;t&V&&dm^52s5mVk!~#ER9CoS z*VUUZ8PJg9!=o$i$1CkUZJxp!MAv5})q0lc+!I6Y6WWK$bkiKI6?(EcdkW>dv(=Tx zxO8-Muqb|ryeee*)?crvHnqBJKsXv6W(F{$Vl%uEaPqL-COO{Raj=xPu+>S^*NWEF zh&4cA@U zY$P6^^K<1y{bd_GAL%FeIz%nIi9j#6LM>$B9rtmk(f-fsafe?2DQ++e(MOOXR_N*4 zjg<-Ji}~dpd@JKkd7S;^Q|2t*kp1;tph?@8$7EI6$bhWd#8-$?q!HKKK;K3mr!=IS zXu)q@l`ys|W6;bpwJXK+Q!=7E*IVgYr{+)!#SMK$NO)eAGZ!*>L(h^uq^k<*hW zCt?0^LIm7rAdY(CjFzs=#jX4Ms)SnG}7nU%E{h04p!RqX%hVT+99zv;~Pucl*U zL4V9sq@Y?<;&kB2ey^^YRMny|#R%+|Q^vT?@lb9&M6nh#vChpU#43x;$xue9q0%(g zkA2xTGwHA(_eA({cA)yEMX(XOQDmTGxx^#yu99O?0zxufq1|keU!*j_H&1EQ%9n5B zTCG^aP-fo-_X(I*+9Q0^xzcNbVp>l<&(GT=Tkr4~*~ANB`uRsw=YbM!CXBVNH*?oD zQFh7$gPm1**n`A^%asV;3y(Mq* z-U(Y*o_uJ&?oonOeU{^3#c?L(@?_iQV=iWE$xGoBQix%Tq)&Z$`ZnPh}SsY9>MDwN#_3loq`@836DaFc?zK^%b` za#bJ63|UxFXmfjW89+`0l6u{#G#Iy(bwjqOQHJX|{p0Wx>%Y#;K$gnYvMo{^(kB#E z)z@5bn}@Ylywa<*hoU__0j%=i%&Y{Ch|<_rt(4k1=6ol#zrX)PZJJY7GClmox%{{K ztCeG!z+V0j@3_ec32DXXFVfbx&e`Bz)KVU2qJL(fgy4<1NmYAt26k!T2D5`{-?C;= z=;FJh9cP@=0=w#OD-i=k3TkejDE)AA9rN`JL0{l2MZ}%U%)V2lPZu2zb2=8{)O52- z(QY2H((7kODUX;Pe{sCXe_f&MvO!T9pNvx3fmOJde_>uYmH&nNPfp@g*kvo-k#pGXwf1m;8oe)x67FCMDBdBe{`g8 zsM~Xyzb7_*L)`$^wc-d>k=bulMtM_2X95#gtv9b+ueP!A+QRiG_PP$&U+VdysXiug z_qrfuD@uM6-*I>IcPnzlvjn;^?%gHagZECTAX_)!;ocvh2P=7Upa;=fHAupM9?W~xHO3vD zQk>~NAv;)ZVuG}hJQFKgSuupPV@mrs@jVT$rkWgij-^V+P zN5U7|t{CRp`;N~&+I>B;m+V;oXG#lBG0Uz1XOr!O*cNWAxH!l5RDVk`;dfWXyuK&8 z@uzm&5s6R@ka*TkQLNt4!9ei^N+w*|$9=5bD0%Mq@~bFG$aSfZaGF`#<5H3CrX8&- zUDQ6_cW2^5iS6LmK=s1D_yj~CH!p+RfA%)bsjuPbi$d?#&kuR_JLx$AXY_tKY6iqu z9HkvQjBwp&@P>>cYnG(%&2`6{T%tXV{?L`FvD2iyWE2`UPC?7M>E`iVU?7b{rcL{Y zx@tK6)sZR}i0fYK9yneU7W!>mGtIF_c6^u_7zWrllmqB+qq}{g7~a1i$iPA8oZG~> zcLp3M(zYZ@yXf;Rs{hhPd-FGL$^cR!=+oS)TebFhVF>Lp6Q!-hM|)M@h3qgT`0+A+HwyRiH7f!w?iB3GB5@qhN3i^9i`}7e(uQs$jggj)k_VqH=}PM>1hAF2(f^FZ5)L>hg~y4^ z`|?z0oxeiwTY?SiPkdZLRT946clxXaESQ5G?ScKQP&nQD^<7VZ`{=SRpwI2QcI8_e zOmBQMPic2$#Zv&B3;G3vLvZ8fQ?ou&mMK;hOfMM*UJ19X%c!`hp%;IO`x3vy!44R? z-dLK1LCX3JtXuHfqdU{azqeO7bf zu3XFAN16}SsGh^K1qE*~*Y!nmd$9XvZ)$TrDoiG7zWm~W#70C$&*m@}iB{L1h8*VQ zKjwP*^ULQNx^%`1FMJ7@7rg0=GX+a2r{1sSN!CoQ<`~`hRRknh1v2)1`aVlFKD&=w zG*E>_XIUbDdutmy2~&*{I}m7psU1s3%U54b0DRu2;X_%;#yQ?90QwQQ$DYK@F>z!+ z9;&T8jV9(`y%(WUJxo5|s`ZjnM9nwI(0S#_g_q6qEp~l2H$Q*-?Ja3jo07`f!tz5+UWXlXvYX(xC2_v z5^0eou^cPs4Lt9B`*o^PDo~be{o+Dej`6V{lsP!Uv{7O_GRk!804%hAJ)MUI08#yJ zFF$HQPXboyMESGB{-;t9f39Av*m-01BCNJGQiSQQ;3F^K7|N(6!eN2MD03ZA0l`kX zJORec;|nQa{Bd!%*DQ&oC92ZgksWee#NNyoTgm4>`z}2vATl@Z%aKg~)924ref4yu zcIVELOe5Y$tz5Xf_2C`0O0TCd2y3Jhk+Gqw(Y{KAF4>W9+@tARHp5^ZbZD?8>@Wg-7MxRbh7-ZMb$hf-VzV?G4zU<0n%a zY(9UzB;~w?h#{Xw2%v&2xMSs0iIky&P#ZzC4Y;Nxcnqi8Jguh(*dqzM)`j_sP!UvFW-8We`J;sKb?Hu*8AR0gXg+|f z!Yh4>D^$+j8(=>B?38H@Bh7cz9Xr4%L;#&?JPj^TwJ}Acl{)qz*uxg}%LmORBdOgP zRi`@0VP6!=iBVxmJBuoW#f&Ud_4h>tTT^xC-e?jW{l%Hi4xo5_*Pa}W4A+t9CeyMQ ze!}OpH-z67ZgO?ZvZtb4_0nAa=Vuhv)zt$iTb*1O1FtGhw5*dI_@Wu1>{XYkf@1J` z`N@Z&;V8;k34d9D0tZ0X&V@qmqdj>MxRV|3>VO(|TZUQHI@evQ+vdnrU$$EuJ(ph& z6vHx(i}mA=a3$-$0+~E;C0Bn_U=?Mp_k(&5*lN6g|9+?L1dKV5DRcAlr%w$Z))o0q zj5aH=HOrV+USoECHN=hvuQ|LmD;Z{(P1yX?F3FlzvxDC55DDcXvI^!U93m)db?BUB z;|^Y?*c?BA%GSp;{NqtmLc0yK(`EBGm6}(z}2s#1i%3 zzJ%xOY0N<$X5wRecZ|^iiW(7f6>a4>3x#Fi-%VtB4^kZ29b& z+eRx__TlFI*A*$)MuE|~E~+6UffB{>d+WnM2WDqoru%9np(=Z1YEf4f4CT*J4sNP0U8JVfUj5e{ZDEP4(5-;THvcVE6=ws%_P?l3{o`mzVxwQ?n%+WU!Q3 z`7@6x9w@`iQrRpd-%Yhf%BwrJ`H-p>Dt3woU!EKgYn1|iRUb}w1~%s$f4WV1wB2ap zy+c7qh<&Nf4)+IutATvcQm(__4yHPof2y?U(??j?2kv&g12&xRPGIN+94yXtq}Rh% z(Phv#Dkf!>ww}xaaOxJRoe3U#l~^}x8$>9lmD1|;nG*o|S;`MAWc{Eumi? zL&v4+?F-_M=tXq`E;||aAvx}l9q&x6vsfoPjCe?3jI+>y5OhqGH8a;bUp#SnhzrwC zrnh9rD#@!CHuQ1as<@(WSFECu>d>hWDi7k;gSF-Ua+{7dXLG9WmdyaZc#HTkSWWi? zgX1jZcm4L-y4pIgF(nM}NHx=K%!YgaF5orc9f=<10L%LJB?p{z6A#82Qw;@>Q>bOz zUK;HK<7hltlh#(7?vmAmaADc^BWOE%G--pCrfkj6tJ>C9jJ*UOogA~Yp=|y)n0%O( z1yv!seX%R3+p*^s7wXEQL3?LHio}cx_0=H77R}*Z|5j6+Sd>f{6kBtc+xJ%7xk^|m zsL?||SOS5wQ+tW=3s>>sC^P`)x(-=7vc@?KHNR`L!G1IX0<9F3_`@9FN-UBR zl{Xb@EqK&wN2Z^YV)u8x3bTf6 zuO0Hwes1_ytnm23sx~J8EjQHP;GCTg9UNqY>9ir zWGoH+Q%A>2kq~dM(SHH&&jTU|>rXpU)IM6RUX^Gm$StPjOXRS>T-&20&?H0~P`TCY zRIvZr&6|q|=n>+k<`da zPxX#)@Cfu`Mhr6%Dv0080Rl+4b$g@ju@AST#cpjdzt!E&_29^qr!uvU%VJX6o+w=U zz3+Kw9l9fd7Z*q*{q?7)*6N8nVhTvlOcaAPr(A(0FDzK21NQY(vhuyK{VZ~-_0#=6 z*Kstdc!}L1iWlhA7=;hPPO3jLOry{c`jm{&M{MZT!c3SZTOO4T@|`a=Guq@3-%J1t zoifYWq?DQ;FlTB?L&Q z(fM}ck#k`kDQ{GkXWpT@wHOIk!G5&rXpjL>rG*1d^3Tzb%mE~r+38FGs{>m*V)ziC ze)`@$wP}DeYB}Pi%YYz zJ5jx{<&~jp)*O1;P+|D5^BPDCTOS|I@?c}jLn*FvXv=xP8f9JGO06oU7V?%WS ztD@WArEKSpL{BK`)%ht{S@jeZL$$9PuJ!AkJbALJqwu<5#q`<@7S+L>$(j##?~rx- zAeHwu3htF)UPZlGlkw4!v%Gg_@l&cxRYr`sEQjwog67)N9yY ztWEh`(qqksxu~G_rF;g9_{u-~#$zn;UItz3Ai5A>H|HrldljQe=n>AuQFsP5GzZr2Q*0%*1VqM@2Y zY+kJR{*|(nj;ldwO#gJ|rD(V1J45+=w2NH2l8QVmVIs*|l-?paj6`C*_S@2 zO7IL2He24Tl=ebogb*v!(yZ^}N6XSzT%Tq=QnTshU2&rfg-zi3&_lOL2<^Ul;k}R$ zN{uU4X-Fz@`4XvLQ*%8%5u>Hmo6n#KgUO?MygSr;#6T+0+&wKl^8S4lKoO4Gd@vy_ zp25F#(MFpiSv}_FLA>n6k2E66v6&{|FxZ-j6;G_T+11}(CW#~(D+_mGQXPXbn`gVI zPsn2wq~N-_r+><^enI)OTsIk9%~KC1)wvKLqWVHiGm-}2d+ z@Y>TCDsOUt-TcaGG~Q(_uabDG7AmI^ts6fzy;Q)ZP zyc-lUyNKub-szK(ngazu$E6#|<96K9oCB8F)=mvrYIlgN6tw|C#~=R^ttUeT3H8?btX@q?p1XLpe$twgvaPtaU6rq6 zmWb;oS*0485EmyrdUFhjYi9Jtto?upQ>!E-Z*H`0$_6jUO`;bPCLAjY<0q{Hpu1(F zY2h6urFzFL7hhd9Kba=}uFFeleAwirMU9-2aASGag;}$t=WD}~PvE9;S3Reht*xy+ zFwz{9l-D{(-le?ZhlOnHdKr&wl6OGcfSVd>h2H)~soWsAHc;Wj&JHZEXV+0KMHr$S zrM_)ip^=WRt}d0BJA)+nVG#bP`IX1M4@7_vi33rVi&V(Ty=s5CMOp0r$DbVZT=cG9 zsEC3YKC)k)+N`Xs4-9AB8DC~G#5=Rk9@?$59c-jw+dO4^Y0n9lv?*Z*LHCegx~-53 zJONTfF3w)W0n_yZVes`k+PTenD8^XS(Eb?xjdRh+YyqnEKQ9COdOILJt8#F*+E}qf zYRAa_w5>j{$z@bm%A12TJRZ$g+Jv03};MS|{ zqGnzSiamO&HG8JT?OO&*B!GSq4z62Ch*aGl*P>=5!ihC9=!(wZ>!FsJV;eHY2CEh- zI9d_?lVaD(K_P9uS^1hW(@sz4p)P)~`YYSk+T2H1OU0oxYjjLR-o3Gp1s0M zPw#7^ii7EchYxv%2WIAz3Bzr?5r;*Hfi+7U%`XJ$+JHjelPVD6N{Bfo{X#`p;O9cS zs?TV-&+OEtN}S`OgOCs)=8f*n`Xonyqvn53E;Dp7_gyF@WK=d00Xl@c#W{1dcNd`q zsZ(DbxmvpL_Ly278E7j>-XvL3WWMF1abJqo;ce&yuJcpBxmLKT z=nhFx_Bhs3Sr6l^Ih6+grjDL|nKk;Fs`z5#S7)d6fXHh4K3YJXV+!z8fcryDL^`Ca zZgaRo|IEm1%q0^ttFK-#o+-4tPqo5+bme;qsp53MgN7 z-=V!!yeOWu5IvyYbBG}%kx@p%Gu(hLF~k0fgXIgA++4%TmJW|PC}Ob3Me{=U60NM1_@lFAEZ}sTP6T0 zH4n_@LO@He#9C)D>S3a@q#08N3phX>bt?3;-F|cibyt@62)o3HRDDW*)-JmH!pKis z`WM#iDLtSB41Q~R6HvMFU$4%wvuhynw4h%@5;Ne}h18l=0Jjo{pr6$7Jih^ovG<=7 zMA3-xgWP2~pXA#^?~lFP>HyrkW7^uPs=*HL=P0ytz z2c$xDB57kp&U7+kBS5tQjmggsdg@Opm(nuIOUW1YN>1bBl>_8yrUE@BFZQ>G=`8a0n`cJwivF{=j{n0q*$ zdNm$Q5PG7|qvyz=``;~XL%6mW+KCn@Xp~2JTO2_rG7$^>-vx>sU;H5-PK9g96CjFi zx_V|pNQl}XHk4fcn7eWL;UyA64d~``dH(PtV~6>hAiA(MBbh9u?IfKa7=UZ-1AX5| zAEUI$>Y+q*GF`d1vT<#N?J0n;k(I|Uv2>Nl1BtwXxIwLRN#yI@wP#YlBt$;VaJ`yRS7MWv%fRUnK)GyTnDaYa6=&SiqV?J}%8*_*ED<5V2PoR;4#$h?wj7#o-jzVI(+V;=Fc2ql?E{8q$`=IcX`Ft&xKp36Pd^=;=wH%gWItF zyhlcO4x5THgkZu{2u0^2r(b=U`T@&6>uIf0APIHijJ+n-_oFlW^`v~x{sC%4B0*iZ ziow-;@MC2p&pxh;K5u{YJ;ZIY>2B`^q+omy=Ou#{JAP`<&!J@xBnCO(eA51$^{}5@hG4%nO z+)XZiqePxktuAHr^)1QOvP@tE#vs?&ny;Rj_i*>keS3w+9}{2z62E38fo>etv|D3Z zicp+tu;uwc!!u9e+h(8`d876sV82#<2ZNOH!Ng4A&Y3q?%ih+jbM4y`R#-K9I9BO9 zV#v(sh$9+M5$giJSx5CC5RY{U^tVODuIMnVgH$4Ns3Yqmyp#Iz4Hd`l_z}saa11O8 z323v#eU(Bp$2u+9^1!o&b&iS2SfI_ylG?cq*IO5EY-V}uJjMRK9}p<=rKp;%6qYz( zlm{rcU2VzS;e0Y|66r!%#*LJ8IIaKFt}53z-vYphk$%RPWXe-!@XbfG*M4bQCQ%6J zNHt5KgWZq6&d*C2J(r65timt?J)YuNqs-wvrEzwovHSyP5R5|syHx>HI17c_#sjrU zNkJuMy*{??g`$i`Vz{S~eC*deH2(YI=NO}KfIve8xjda{a8g2#Jb4H>)6?xfA%AkO zsLsP+650V&yCFtUE?sxLaP{RS#%=>073*57e{^RGk|e60yHDiC>fO}4hIoTl#cIenJa z5fpJSN;vStGkSmsb5Z8Tmvjrf>yn>7CO3}so(=LQxN}1%te-2IBn6uflLj}$?$Zuy zNDxJ8QiSCp8Z_5;ZoRKJ7DrSK;kH~bH4914M(v0wnNNgu#RJ@{_$8nvf;xf=HIWw< zSrw#%tpQZQ?gBITtTy{Xofg$YD4U84FeUGYSULjq$W5}6aSh2T+d%U(L3N#KN+{VC z%u~O^CbCJqNTxUr$95=wS8Gx3z*>12N+=rmwUE3W01cD z@IUZkbOQI*g2xD>Y4oh7cfXJle&2!OO2$Yo;|uB0!cHaCVFI8Z>h zYBk53S8XU0{L2M8XeJV(4=TV>3)6Q9tj#}0Za)n?qWs!!;nBPVV0ao=;I#Ox0CvMn zzNIOf)Qq%jT1=o4y_)kNi|>3J=paof)s94Vxt4ISlc<9wFG8BX0_p{KQ{5|9i|lE3 zN0RJ9fZ(Ms#3LKO4|U&pxTYFeN|3bd#HA4gp)#C!!yZtBd4LBCABNcMyaus6ksg2R z`Nz6O3oKa*dVC!>5P?5ka1bDs*jYZ%-NZ-`Gw%v-pWZt#m9cl2U_4Ka+&(04#nS^4JLqa6O) zPY+7f(~s`hby2S^qupzGpsp>E-yHNN2k{0(i|sh?TvbKA^7X54LL$X#e*+y}*q0BT z0WXbp+|w6(_bEzDle9Xr&nw~cXf%{R8|sH?=epDS)G|&jmNL%XFwN;5 z_@kV|m-ug3b%9s*B3eZ0zDjm%jkvpux;|QIh?VPVQELrj^?cUP=3z%0*Gsl5iJ8EA z2lPKt^tFI{9(p@hw66{dg$^YTPCJ}RD#2_o&P3k)Xh?Hcghrt|no)Wz56>D$D4(;? zZ_&CHMMIYhsO|4j6i9uDD3@=L+1*<6uMl(wNLG^3R^EYfr=r(6^!jyf3YbNkeym1e z!cVa6vMCJUGAk`^bKAu2UUER225qQHB-vsPU>r-c*#U4$!7mBvon@woq4Y-P#l;rG zH6t`}0hP*L1t{EQn}SWKAv{v^@Hl$iT!A9$)JI(>025Fsn~5F*Iy8S=wQzAqF`bK! zSzr7(uD%%h@g1^3f&Qlu-gn84BQBV6@63NpJSdzomNJ5_C?2YO62(g5?$>Emn(i?ME9L z;DJU{AvCqZOC&7V$`#RwdT?f$T_HpceCj%baQm*Ta{7JfFWB{DYuS*;mhkz1Q z@9w|bQzP)aJqf2tL~qm%edJy%Fo+3S z9_4EjN9Kf*#6g9}fQ#rl(qxcLQ8H&@Z+xhEglNeFakq6I|LJVFOG;?wT1@@w;=7rw zK4>Bc=%l7wrU{EIb{qqEltKjdu*FmE;#GiTqu{m(pAo!40dYS$W+l={3_3Kf<~L7+ zl@{i6r$(p6>06paevkl1+7MnsGhLth5LUT?zIV%>eltgA`J9Viv&|E07Jzx!BYPSR zhvjoL7hEJ*0pa@{J2y%PxJPA(`Ita@E1$KGqw7mhHU|o(>udP>kMBic8W}pR4qm5l zS_!>YZ+8eIrC_{f0aZvq8_H7t`g0bCf6;9jNeYSWl~fr&xNYGL?yKp0bzLO@g$V$u zx~z=b=B1(iq3Xfo%;gNzKi5v{6Z6Lp2(qL zAl+p}_nJ|Lnd~`|SmThtVaGlsm79UU?V~L?-G8WkS`rD)oJq?SWyLH9}OK z>Iqo7owq_Nphi9o4N<#=XmVw!slvfEvv3|lc4FGd21v{K(tD;bUfszj%7kbi*&*Cx z9<1qV`=Ko85;%Db>@+@^cY}F*&UfK4O+1j!Kz0Zmg^YI9H4s~Q(q;ObB<}Co=oNyb z$CkJ-AAUvJbahMpB8c=zU@11BGi7BuS!!4v(jEK^+(l7EubZuJHR6&{sL?fkRCni2~tK(yrH2IRBBXsgDQ z(xgsc*Ig?h29Y!Vi5P8Q6%ZDHDc10!W;v@&7zpX60>=wAL3GH1*szUXfk4i~_5nC+9+TM!eXc<2DRN zc_9S?qT+yFJ^E+@2=8xdIh_u#RRQ=S9n+pl9SaCJ{3(#A#zSwkO3tAp*vbN-ofyJq z(T)MaeWY}PzrQcGfAJaA3>EWP$pAns-vuaq-{TDW;27Beh622!n=qwCk-N5u7flZ* zs-5bqkuM{l)Fqy9c_&Ao9;LWU2n(zcYK0Y>5JLlK^u#v0Ga6x?6h2>1c zH4{-m+r)%`zROjfkM`E7(wmcB3W@N0E?S zxMr0-V4634M80UiVjg`J#)%wm=Sf>s%bpxwD+1kqNWURVRzW%srbG}_48Ai29GB48 zp+_HJ;qLE=bH;DcR=sR*hxVf3}P>hN_gj z`K`0rE5dN$ha`GgCPbyO_1mSFzP5g+!jGn}D8^7DoU?F(LOKdkWz>C4kbu4@qg3I( z;UHwGmZe=x16JvQx_ZTI2Xigt%p^#$ZR1tSXtsm+zN~MB^o*p;L-S)Bnu07jG~g>u zYyt~NQburu(t^|CrW5*^xuBG8N9_G5XaGP;12i5}f(V|_1#xG)sO$;NVmhp0`Dph6+^)cg*P7wU-_I{?pdRp%Ttr@ zJ14|h_-QNxeY6sxV%9-X)%1VrZ$DM7G_ssy?C_uN|V1$A#Ox{3{` zq5}XPbD@+@m|3R3cWO|SPO*1j>Zyc za&v%+SzIvU<*~(W5Sr`H=3OtUTK|I8Kck6^#6?1C3Db|LQN$S^h;>&95K!c}xF-{3 zI00@d8H-_HB>X2y90?}T$)*B{LaQt6j#R2<@^&-@u|wX!x2yyyW*EF=0}A5uQxa;W_)Ljy--&mLC@q4=H4(+D1hEsmhk);&*t2o zXaVGVY^F5lyK3ebQy&vFi3%~$M8mtI?mQ{OJg~p>O|Zpl5dA-P2rRgUzS@ zG6Kk>nj!+wf>7J?&g^(a60BH5G)Fwq-j*`8NZ6e`1#`WE;r;o3NrT)LQ z!~~!vmu%~Gdk7kio&5^fC9r?~q}@=3D#hnMK!&+fh{2_Rg0hOIDCMUA$U#tk6ay}d zAiPbyake7+M(MOcRhN!9RmyaAdKXBN$eKRcX3 z1q~BnCjdkkkK-QXm_rJH$11fWtL5Q>eiRFk|MgGYOQ&IiiSaSQZ0@(#R3D@H1XLRd zo6DY}T|n|pnhDB<5#IO~3>~3pRhP269XbMez?VZ)N5X1IEmXNxMueOhZ)kB~+jjtQ z3UTa)-L4j;^DNdW`pP^6l}DsY&~Ha%4*;{9xViLu1Tnl+h;%;R@c15(XAdT$av>Me zIb?bRK?DyF)Gpyor#R4PUw+--%zfytn|%B0wFY{=Q;pDhJUfahhnY1*z0=$xYg`#z zHF1#CRFDEyMsAKaurLvk;S#n!RH^4PsaN6BLG2&3);x(dBc;_*>Za-mh*TQ3C1Q)? z8m%4NSI=M^%KHeRpCf>=F=Qe|L%I|dNeC6@-1b=i^u-_1&}Zk7l%1FxK*vU>P~b+= z`*0I|+Q*w|Uw-%!OaHTe;Wa&ciJw?Zl9184bYeia`7YErbnh8@U92+(V7u>5dp=u3 z5uY}ZbXf$$NPOLC6AA_}n@T21MnolQU`7f*9&Lj#k0mP}%KQW61PfRJxT*r9FB76B zA<15&{S6>NNyEM*>rPzVCE}{Jvk3JMlR!Y4pqWg}+f9Y6|2s21$ zN<@B!64ysGt6Ae77@&Cnd4#w{T7Gs_zALeE8=~<0YN%5vAejZtR|0S*sh#M4aC_d= zr=pG_5)y0u!W z@pRkis!A~67WoN}P4fKxK*xv}m_Vk5?j)9zBqW=nX5iR`yTBN%;}l>u+~|uI4U7Pn zcoD{>ag%L;?z5H$Qz}SmeQ>)WxjD>-gu2?Vlh6ssL8fA@AJ)>ftXB`Wf12d3l$MCu z4=a5HVk88?j-V0^=Uwi0j|Idhm9a5KEUD}Lwbc~W)G^9ktfMB1Bl7NS_;!6auzLdt zAW!PBqD~gX6v+G2qGkXae$Zy*1xuN*?gqq}!=>MOD2T$$*a?5cv_~WCfH&BPHos*y zvBjtw>(&O<+_*_<;h1&>FdPl2Ykg=&e3dK3z=aTH(M8J2K0JnLn~%u6&7bj_2ueCN zg%vAMbgY=oF;11Lc>Ne_Km$h4Jv>02rG-#W(%A|{f=MjBCfz#tqnxFe`1ZZxzWScT zEoJ()d%$ALsR0m)qVXJ4XbBF5)Lx{kr|t(e5VONNV|O@ncYT77n41iRa)zXSS^^_7AY%*gh*nVgic0+ z=^mQ$BAG5bJFCTo0x+XQ3Kg3-XkI6NWOi} z-YVaVu1!bD(A1qPA{e1`@|CARLQucTLU$j30!z(0F9IvE4KZVu>+Q-qT!qw3QZ%11 zj7KE4jwZ!1+4TpV=Yt*=7r`%#hpN(;6C5)RpYO6-nq+#1_SmQRLVo}j0 zH2$Dddnn735EcEqaJYOinhJyrNm( zlB+0!)c&Ujt@G2Zi5;Mt4Ns8pquZF;5Pauk?|#$=QtZK(sbcL|f(*nK5rr;jALwGL z#5S^I)*{<&mx)k2UovA@s1O5-+p*Ow-7z5xKDe4c0%{&j#L_ew8VV}7B9%QTZ--N* ziO@s%!65u85}m3B2*hCv^H8xEqxniz00awgDySVFyh^wX+{Jngi_{q%0wsrNf-;#xKbC{M1Fm-sHk@Sk8jgjP|GEg~~MySqZt- zj5pEY2BtB|D@X)0jPji3vufIsu>aX`VaeH(2Pj_NHPw3aJ#aDeXnIpf2pHsQXB=TF zSlxoH2a>Vlw?S*l&=ej`U%2EC3ZW0j@(xHPnE<;qz`4R80zG}&gtk)q`)Ja_4AU4p^ z2Oew)_mP0%YGu=bB6R4ED{y2F3B8bK784&&S`hGJ4IuKw8=g!)MER9SoRo8v+n#-M zn>_Sz#)Tmp^~O&Fw$cD*WgAO6PW&id1aJry(fMCRWd)#?QNJtP!TA)d*DL=BW!3{> z2>Dn(69tkmj*d{KN>>fQk(dt?8epP%S)`?_&FyGm=e)me+UL6I?@K(sx9|RQjkKf! zuB9c=5nc%2dSRxXfFQ9a0#%djNkf^x^$1(Gin3XC@Xgr1Ur!?CnLhPGIKqIQ08uzq zCTOZ8Huj*u1hLNFU%-f508iYDIAoU3#Bv>RF>`kQej^Y5UTGmcd8x~~5La!bLu14P zln|QD0zxredLs|hJ>`bNzuslcdKZjSyy^i-OffAM(qE22n7_9j+j(K1;N&;UZ=!Fe zs7_;7o}Mf)g+>Ggu4wZPBhE3;wjf&nNvW_P%a>FBZC1<8m84MLdEXRY!zMb~*3H z*mMJtzXlE!!gXb=L1(&=C0m!w9bbj_3$Zp4B=K+0j(?7c{pW1m|A{9B z|9yBR%hXha5na$&-uva~sFKb^_rwG4liatjBg%jJG|m^#_Ih?Cdy*=(4Cm%5HY;YtDKPFxx;D2HS51~bvNtBkW-e~z?Z&o}Q}sOYQ=47Hkd7S;ls z0wLPq4IcT|J6_GTeEsJLU~m2v*e*LeiU=v^{(RINqe3yW8KS#?rKFCJBx4-@rkdbU zpCCP#5h?L2fjOK|noy9;813!DnR}x(j({#eSj|0sMSb3n)-vusV~stKB|iHDT$UTe zazftRKgRU_q8X^B0=;b@d3^rsckTjJDxg^C2fOC;o5py&>(`U>8+KOON9+oU(aW-g zY{I%D&LF~}Q%*&H5o2%guQaipEl;3I9P9`$J3AnQ53(<}wF-1_|4!M$gx0{*TowhN zjG=ESFaZW%0Aeoe{`F<7We#3bA4=y5vT@dWK`_B(zk{)P>3>`Y%mE!Xwt$@-iWnah zoLv9qHyyf^h!tJ9uBj0d-oVemn+p}cH)2-Bja~aU2G@%JSWDUh*WqP)SyolNGZ_2O zxuuoEOaA2@_b?tKw-G0_{>Lp8Af=!+A0BCTQrVA3FaP!E<@ZpcD&3N?WY6&)8yEkE zk`X6?h({QvfB$dZc^^}70Rqk2P$l{2PC5Gp(D~=ry_y^A(3w(ve^;4!eIhmiCv?RC z<%a%Ob`j}e641E-1)iU$C#oowAc-39B%%M@^vfJXuqe8O36?~ad16a_=wv6>5{hYj znFQ^dx16j=*@K~`2Xu(Ax98k{4uYR7{@};|qo?Ob`hxzD{XUp3yJ@VS87?uMAv*P! zD@S^e=m#{4@w=-z5E@-3N<|~+Ukt9bzwB^d7UuemM|zL4vqLcQ94SqiT^sM%@ar88 zj&ZL5p&z#x!mJt&H;OMXU0!rZRyMpxP+UG~`I~pb)-5#d z?<@fqpc}6X(ka?gY${{s?O(pQ@*aLz{GxdT{Ip+7F*6P6*^ae@&;LHZi=2q-T4{8Z za(k({cgk$WUC)-uFQCZ$-?^j0-YJZ~Vw*{f#X68EF9By$2;e-!PJQ;Deu`1t&6mKS z(2T2!0i77ldac|}KSYr%E+j2;=Pj!}0U0E4~kQ51Ph^$CMPn?bx6Qz@Gz(LRmqAWz)5g?0I^u;Hy zEsqnq@9s74njZuf4-4)EdQIFGdCwCqh8%GFIJhp%^W3xwRk;tQwNW z{7lmswX+I43C68z6FQrD5zP`7f9&Z=geJ)$=rrYM|I~jICxCjnASA;N#-)ut4}x1D ze>q9={=D$r`NX8sLDcN*U;%Bw6+AdGYijwHR?r!@Y8>CA5$3kCbg;tw#PGr>BD zmrkXlX)rY4WJneC&~%bN(A@Cz;;$SMQOAl01c~c$LhZ9E>(oAsv>%Odv<@9w!XgwN zP}dqm&vbfkLLTx$4)ukh4bV|mCZW00+`oB+W@<;$Yvvovx-y*f`1wZ&!)f{8Odwt` zu6hE{&&B>OHpvAXQe8TK#^}oHEan4RU!kXTOf0?5@?Q|wJhycn&Iq8>=Ky4u)6;`v z+vD5;0YQR74EWi@*CqqutGSpp5M56VR>-lWg@owDaPUyOoIB{m)<)uV(rZj7|DlmX zdBBGh1F zsTqhDMOS12&ZvWKHgRVDqPS`>pt*~CP$Mx!AwQ86Gb80#e;%=%Yd z!X>62a;bQ^a@`FH1I;f-|NhG(rs!5cT7MkRdU+b#Ee8Y_OE+ov zzl4YDS2ke0oqplp|5T67mZdc8%zB;G-#ZBdK#~1#@R7HE{PGETxqdu3{`^%h{HHRG zY@U3Yv-*$ruPQD}T!}$H?lWg@hwpoQgrALZV$H8-x4D<;Zt5El0KXX?J~(@}S%EA& z|7)~jlsL;*TY2UUR_>Xl`3&{`D0T)##_l>58>}@Zk`{W>N2o@ zM1059mR22pbMsy6)P7^EzxwM&l0SZav0}mMgA3W&A-nYM>XKe0GW9>Nt}nX42Qr`w zXe?Z9=`;|`F_voI&e(juAYX3MG(OyjiTNBJ)&BCS34^gH?$@;$jO4rj0hA;}|Ks1h zne}Ut7>uuf{vZF5%@#NlNpXWknkdc-3$y29ESdIe0lsd%zt1ZpV^5sRP)tjE71#Bh z!mJfuIk{YyXN`^NnYg;5_Rr1BgVmYldi|GnA|ofqF>P9v(4Nnpp4&gK|NbK}r=?|k zE?LvQe_PXy2PbLT{mJap&w$-Cn~u^%CB4o@=-qmt@p%7Qm$55X>KF3zx_)wu*Y&%1 z@AYuN#PHC;gr|zIrF|OkfG8Jv(&xso_|a#_9#@)TYC> ze^F^~FBnN=rq|C&e{aQDGvnXODIXeYprguQto_G2f9^l3nE#ud^Pk86KY8~ze=biw zZAnurtkcj1Cwc^r^H0_xXCr*K@_k%Sa|Djihd=k91Vyhjb}pTJVkX9V^ymzJoxDj; z`AhV{{250qAld5Saqr>z&%bzxzvxozc2e)Cj2D9{;~L`p-!FgTnbw;hWc1&c%n8aI zZ4~92NfR(f|KmP_xAI-SiEe$4OWluJ^i452W9Q&-EQJ0M9D1FNxJmEG9QMidjEjqN zgmzC5^8XKXOvcZb>c$JQOE{@sCSB^x3tLA^jK&Ud`Q$uZHu+Rm*8nbfE$r;p*A8V2 zsbotg>@>i?7K3#1_v`I>C!HCLrZ8xUR}Xg8EG}}X?Q1Z%bg5!@Pj~9GbN_jvraz6w z^&zzRv&c*KNs{}NW0$aqdvQLXi7Rt)U2x^90jNC`!(+8YmqW&Dt=cdB^YSO=1}K)U zwNIm;jlK{K-qU4tw&LFW8S8f^>-*1h{c9RKdvR6OVgmyM)luoFlJ$dKXZk%e|9-#< z2$=F7_~+%iEyxp)zj>H9c+pVz6&d&O&k^@?-n(2rjTQa_aID*HDAmN+SSV~LtvLr} z_Ts_HA4A%U2X%km!;$77C7#O6%r;vg|5cOUpABv9$Z(MRNRX!|4m6zAa7k&jJ}`zx z1|Ilh3~ezWM6U@PlneN-tPCWd^XgTpFXt4-=CMgA zan{olklpLtIrA$IPAV(IbjHT2jP2}}Gmk(@{r|A{CSWzL|NH3jW%ISSVTTY6lpz_4 zO7mb#DWwuZQA8t}R5b5xn;MByNky78Aw^Ql&>&4{o>MBCs5DRKe%`fKWZS=U&h@=Znf6?KJW8ytK47US*#rSyO1C91}Ny<4~Hs?n$b)x^JD& zic7)4CHS|<lAG^s`tCL~}ilU=pibx-oE9c=x`1gRvd=_j#;PhM5$Bv0?sp=yJRS-2zJ! zz21I>GK^5$f7O8Esb^AA+N{tV_6HL-ibhL(&RQFq{L6#ZrBY$#-AEind_~mwc#r=! zv_s(Pa6?1YxMbVnXPOGEwWb+AK9XB>TU>ql9M_6txf6IG?SJbOmG=K&y8XX?Qp(GN zaUzyh&7V3|M|dZYsosf9l$V#Bi=pAjMfE4s&zO05c^$omO=hUbdOjCL)C_X{@-^f3 zMtW+;l$1X>W_`ybP!s*dQ6a44?sp`(vu4jO4O+TniHFsh$Isz)^qX0m%@tY3g1ERi z(Ut=`-rmP@Rc4b*5T4k^8LzfWtXj3ov_MT&dLAEN({!Y%t^pHQczd_0x0hGJcAuk_ zr;!eSOO#!QCXUmU70O@x;@wvSjIkZLr7=+0^?~L+jpo`64@7Nci)oXSv?v{&ss~7$ zWlqFK8reKdTA#n_cN#74GV_L>t&8~yiqKk066y`Q3)t8oIqk(vsJ~rB-h;8RxQ(*1 zs4zA*8f+B0C)%i>K|gYTv02%n#b_G3R9oANR3_02cW-m!I?*S`m#Z|#KTTE1UE$kt zC-!H33Y9&0FmfBtFo{N7IT9x>P`OA1ta0f*=cUTYX-(Y0d|vu~*K%JH%%Q~8rjnWJ z@n63ntb&4pkQmFt=K1W3mXVZ{4Abx*V^h7QanZ|5D{QxEAwLJ~a5XD=650XNR9kB! z+G6iew#{b+_1uIWO}xqN#1vah zF-1Cv>^;{M7J!8t{$_~v5gUDHh-uB!CoaW@xkZ#)QL&}z+p_jf9=VIRHEH&DNBr=T zud!aq$>AKU;h0~^P5d(TeoHH0Rc>XVnGL0g~V^nj7XCU7PitZx(X5?R+YQi8?civd{-I#6KpRLZKaZOH9$Xsbofk)s;dXvajTnIez_D+OxOcw)?C(we0if z&lhch%{*f9C4TzqzlMBsU#cId`7#q71yczoW3ihB>H4p{d2?-8Qc_a0u31~x+lrJ2 z&o6~KBTzYY>XhOwp;5k!KW_cb#T8k(i5-au3$A;%Zq0&U!3wW3D>za9rEfL6XK26= zq0C?$g9xm@Fm9iv$~rygcMtDlO5U2iu^(UYvlS=6e4VmO2o|8PRGudz6GN;6P%B!f zEb9>`wx2Lh{d)b^ZRZ|;@Bw%^t+(yd{`nZ}=5g^NWQ4Za^#@Ll>I^F&H5wM#(yPh8 z;C7^uS{_ul+O}&vf`tY3X77Su&+SWU&0`)t*C!J&raU(&{DYS0%`oDcY8bmKIzx

-R)w@R}SuoHt!qy7KUC0PY3x;&bbhzOypVI_sZO^O^M+ADi4 z2sp^bhQ|H=%=m+IjedwvQyScIBX8=RX=Yd&^3KQXv+9#L5aAcT!aG7)@$(_SxSE3i3dSJMM>{inqlkhM_*% ztP2hSy5lM)pEQ~R`QO+UqAmDnySe-PrUJga&5EoQ0wZu@Wkg$SJ2~A%)RvO_GTh0s z*v$06tY9|fkgDqyVB4%&`}%*&#NhvC_9+AfEyoqL16e&Nxyt$wG{m2cl{VR8Ol=>cp67`V@hP7p1k+wkFHR6B{wml-a<7drPPCb}^!lE^EZ zcQ({lgEuEb*XJ$3CbxK%l~WHzOqpeZFe->PARy#z@#f7uLTqhf#OYp!)CArGWvE+==yw7}mApv^wv!zkg_I4R-aY2mRX%hYzJ&~jLG3{;o_4V>4@&;tI7z-RauJ*WYhL?wt9>v!5!JXpSEuycW3nakO>%sUGIt#6Zi7+txjtgQZhv5X{B@*$31j(XXLYG}7a zcwL8J`>Vp9b|X25R?;m#c=#Bza6)tCgKM|ydVy-$&Q2_dXRT=jlaY*z#Ea(k8Ug| zD0q2^^)i~$-{h)DM+~WMW)Za}y`gv44M#Z1^J&x@@70SeAOk6Nx|r`w(=X-E*iw+z zz@Bh%(bM{0kZch!&ap+RF)?KH_(AWuy)j*v)E#+=?h4K)FK=a4Rikf$W78E6#6*m* z3r7!?PI2Xn(csSr8LbG()T!?F1@Wy5uD1DU9 z4nBzIc#q4NI#rQHjYz7t%gY#~oB=r&%t7M>*qb*6VSqgmOYC|+*V)1}{4tUap?K&g zo0K6;6LhG^jku|lQEWg4EGL}FH(L_OD3cjKCG}*;*LwZ7Vc#MoToiiSYM8s*pKq*w z?ieK~gSdi?O-m;%veyOkKbNr_%h;!oK^{uTV4e}d76Xnl z7+yqD7HT9sz=^=ynfuE8Er{6wO?WYu3xpP=Ql0gzFyBy~^E zFn&B*0k~dynu9ih`BcJvY*vUz{g0rVPC4DS6oiDy!71V3uW#K)^Qjd9 zm&?k^I&$R5?dD!09McXlu~uodBBHr&fQ_MkU=`W5#)tN<{*UofM*6IE?D1L8t%)XP zItv9I-*=lBtPZ*-U0La8$bxd3U5T6kahw+~M$^-52;Ygg%)m0aMvlUZcJ$#IB2T4+ zrC>M{0(4`qx>Vh(CX0G2QIbu5^Xn!?1zB%H{CB*DP}#6BzAkh>pntsReo~7|B=kwsg%q2c8eYobcVuoPt@f5V?H|{UAFZBp9K)HZuU+lc;(xy`v znB+(nshuoRGL{{wOKWtu4#29SL`m`(f@TE=hAao7FqK$vp3#p=TG^QX+6)tIKGtjw zgFQ?iAAYX@Zvsep;L8O$PRLu4eqMOCV^4=l61>(XJl#YjxL-OuwLeLOdFfKwuo4LVgV_ARwCa< zhBuMk{tL6xgikIB{!BmevuT;-d0vFK|itiaZD6M z>m@sxi@<4DZP^temiFng9`UZtPjJIsp61ou1_ln~dj6bXr#$l*qPUfu?xN(;q<#>IGl=y=~W8K%Y6W}%|=L$H*^p{{qAi^iOrifDh?t61J6668Ag2x z^^-6G=|0haBP?0`E@D>UkU>?)_rK{;`iErpI#sX&9t<+bylM;{Zlo4$Y2AP#k%^!x zHfUwYNUiOS=U?De-Qa^z{*tm_UZBRs>ui4(-=O zuc^XT`Jz0R5TEE!Aso8ar5<>};n@%utdCavE-$;Me6rnFyjA1A?v38vK&-iAhnb#K zeIpf3N4TA$q8s#Mhx9svv_q{>S$ba*5m+N(ey~6{85UEjNA(WZZ?8ff`fGpP0*WrC z)^%4K;|x-5(;H7L^Mzt62>&LfcSvPGx)FvR%C>x{U4fqk0uF6Y!Vy} zI`+osc@nwDU}QbA(X{@*S7(8LypRmzrGBPOA1YB=p_QWR{H`1XY|ap<%8^MF61)jB z$#b_@(NTTIuG(dMZiFXPjOHF`DM%Gonbw<1@~*<*nxZUl@wiC3zxhuX+w;c*eznfS zrpP-D)49alsZFPGwcMbxBLtnjtx`AvZ6SCd*bdr}If*D6Y*+immNO*mcj>otSw!YN zl6fU$?&!d~>**9beWZ;(W=4+eg*3Icr)Qqf$)(8~0OfhyR~chU@U%T$b}s!n{0p8M zDO(2uHGsBRd~-D>p)Nw)sE92mBF>(dC+M<4#Qf0n76r9eAu}($>=)ITdrsW{CCIl+ zpnaY%@)Gp*#SnjLC?1580~a(B-0afY4t8O9J9L!1$HlQt61JI{wJn!%xpg_?#kuVK zy}IOLTqD1Bn7c@=TE!hLA-1t=J4Bn)x^VdqpGSwvBD^sw=xjALHM4jABHUAM zFutc!_wkpCWR^7UuK4LUYxM_Gv6sgRgA`JKe;;e~yHfo{SM6Mh5r*pZCc2Zzg zZJKw1)gRQSR~{O8q32mz+Gyt2-~|ce)9-(C5zWeS_S>>a{IT9}()DbJxpxJIKlbzU z8%WY~NEyB!(U06%jmz6}be)$>vTe@Q_L1%o&0|)2=at0|jC4C$J+3S3X_1pTa3EG_ z#u?OeM8fNa;_BQmof*9EbZFr4lv;Px>D~0)PA-9FQ*rOG0k{C#(k3Hu=1zd%=;eFa z1GVP0m5m=Bsi_<7xN3-elK-7ZSFn`Y=j)%}jt<9kR;>D(>#}N5-B=mNs`thp$emZN zeIrEltlFzngo!Ty_M)$A5)R(ee_l*Rnmhk}l{yA_!R%{yUTVr!58P~vrUUe`aS;d> zN_&Ru4m>wz z4&GEnGLz^=jO8kjUP10l{ydE5j>b6igJL$$2u=l+5KL{)S5ZQPl97g=}8enKo$zXDdM)8toOh~prr7)9dBC*lS1$r@> z)+H;NdMJj5Fb|Dm!!AN6+S7-ff0weWjs@GoCg>`pe7PsokI}s71Qv-XSxq2TL6KM%wQMQ_B&02(VJ^P^rzvjT^h}q?DGH z4ph-=IM4kx+tGMur(SnGQE&fE(9u9a;dtfOXzDEO%oy*uKJFoF*>@~iwJB6!xF5ra zQaAC=86UQPd%N*=c&1D4vd@m!w-!KxN)Y4BuG@H+JV{M$%+(vSqEMMd*e+!BYv#sm z&iN$DX@nS!7ug*|A&=XZgDQ@PzMVef^WFWc+%Ee2`(J$iJatLXe_LC|enEH%Qz&6a zhExxOg+kV^0a^1gqLD}5_88Y%#L5j^pHC}2ZRGm=N)k>3VP@>7c3lp*&l&p;w+(!3 z*A3XhTsrA{B(v8}@Af?nxozq)M+(OWkU}p(9 zvczSx>JH0V$PmWC|9d}r}ms&$- zO-HGgpt7ttZ|Wa*A*Kqlwh!KY?X00SbRaW=Wl|$OJ8ILUAX@1~N+8GoKngaC!ff8p zHusl2^x&v6p!U@`{X|lh8;wHDh|&loUFggd7^;$wan;4MhgWS5w8j`k>yg$3TmH5)4n?}LRH{P%~Cdu{| zK}_6!J!XvTfu{pBtMy8fX7M51#QqtXd;q|`@WHWg;}a+1B+4r79oOmXHMQW4stYhm zZ@AY?$TX;+TAf5jObEaD@)uTAe2w$3X?^lY!vMIvIGG`S%*K%kWi%aS-SIUm=)Pr686%YpF16DFp#O*$x zc%Gx$G|s8MNoD$s{*2M3SBg39$Po~kD7$R~LBByX;ZyMDzPfP-bwV*hun+9ZT* z?t4;}Ry+C|QstL^(U*l0^;klyHH)}!&=|+56j-{$MBN?vTLvWGDAPhDo7?=Ui%IF* zks2<$(P!H%@f9*MW(`a09?N89^<@C+2}^ZQV^vcx^O1~ruJf0(ASQ6Lv3+t$Z|sIw zC#BCuY{TOX^Y;$0HncMYRje?!!eylP^XQ?k{ryH9 zpc%lh*fCL~G<650+JhP0%Wt>&Yp<`~t`BbP0O6o4}FWYi`Z zVnzN%4KxcG`xMfk?b53q$?XDxzD(kyV;dOvr9!oUoNSe;I*Sf_no#P3hI;;f`dHa` zpd^u9qY4?w6gpkY9>IE$AdcY1ky+$sxZiqEyTw|W@Lf6&$?S0kr^DWUuaZvHI}Z{j zeE^Avvx%h1(T$k#sC3KXi+NjeaxxLTjw~QrZG1iyI3?P;uAz7`FXhVMZWkg9d}r_%tCz^n?x?JU50*JHIA(@Q6I3?+EG9wl{(TujA3)7nqjegsJ_`K@;;-SZ&09~eqI-~$ zoV>i)WB@|;7cvep=gohk4%YLFNk~Z81g%i6@ph;z3f^p^8@=05lu`1qIJM*(OJ}4( zu(ZG5+#P<6tf9OUiw5Ef`}rL!M}&`65?jWA&OA($Bu_j&5C=Q151J0?_W4F1qG1oQ zT7v#qH>oA)yBD#TP85yB)$qh#A&Y@r2;{9#xhpUv+ta}r}C!b7|+}C7m znS*14vI4UCtgZGVsysJVD3e0dg|7^fuJv;mo-q1&1XhX=F#wQ=k}2V_23u;r=f?;G ze1COmwTh+ipo-7YRhaY-lkK}dS1s*&V1$V-0@Y1~Nk(W*TXu4)D62hZ?9{%W zCZu?wUHK+Rdc?xw|(8vrl>AB<%3rlRjFNugSkJ0Y9wYPGa-wNZHJE-?M$%Y~J~T{Q*_{2$qF4sS2Pf60NBc7Mdo)93 zqn6hbj_j0e{Ba9j|CIj|22A3eNs-$1*P1_TTtg+m{2=2~5{)z6w4erXHNx}e=>}z1 zoCa_fRJ8Rt1*B9JMt9L69KRqGW?I7-n@1uU4BYa^UAH0Y?NF+zpH)rg%qJNQf4uLD{ilWv9S;=gt58H&gnVz_0@D*1qbKTwM_Cb`JR{K56mCTyIyB+35sv%a^_7MF%k2dQlKq;*u}p9t@K)8 zQWgqvNsIOi%G*jxX)BtUndR?d(t2V*b>;br-QtmS3`;sjYmnHr%M z)BVJTJ>Qbz@@L8_1lHh*H2yiGGgtEUloEj)(RbZVtFtgp^VWhHv}apbBx6pFpO~+x zkl{uCW?!EYN*|L_XLWbqx~$5iMOmzh9@W^WA=WP_bREwYW6QQ_9S>N-rWq~0aOq}U z^hW|{mFTLXJ2_`vB9D?qBwv>O%_LpO82v2|0U)zMZS`PBoh*HgH3IEFVN@6=kVMd| z01*G@|D9Ia`u~z+`aP|VW_^Bw7Wy;ZDwbv^>$3ch{iNX#$oe;)B%y5nwBZm_Yf&1b z?o{6orC5q4_mb;4CvLkUoau*zcKoZS`<^bT99_(fD<`@LfVNQBwYu0t+IUW-&DzpaSIBW7M!U~?+SlrYL& z`BWKK?i!&Lz58~8xmJ5^+S;L^&D+9vPBrABk&mF=gqBSpMdhfuU z|EwTJsRu@2*nn7BP->Ik4djM|TtV~KVMYSR0t~Zz;;#6$2$Qd@SmF6|hV9#DjS@aN z@jv|55_nD|xFHYSO8?BdRly*(?zfH)Yb-|4NwJXhPiivSK0{5U??2g_bl~RZLvefK z;xjduEBl=8v~~$^uC@*tUW+(k@|ucxuHIWFupol&bdY~REM9*Y8krNfAeaSC%#R;{ z!-8lnn0YnFtNPBp48)4pe__&h-|YT*v1<-89I1Yiq|wBsnU7TD=1+=M#VxlkD9$w_ zV-sF7osoPIni^1xG};EIu_va$y~eLj!CXeAGfbXO7iphe*ly?A%(p6YWq3wU~>K5^-f7N`f3v00u{=e&d_tb55Zt zd{4g+_U%;G#fbdNp*cGwZ8^70z~;#XETxw;YdGru0J&W0{=PhN4&e%LoXk!RJLIm{^AJ&E($+~{Kz$XzLo3TEo11`8{jV_i0wE&7 z5he^~IA=#kVa_s&!miI;E7$$I1d_6?gL}q{gB;K(we+91Ch^XJI3$m{*73Symhjh; z&m_$-2cwH^pS{yT+cb-3_{}!B?zh5#A0^PC@>2ku6V~D6Q$+J8I{5dUM|nzvbm(KZ zr}{PFPW-u8$0D3-l9Yk)1Jja#`^Ik@Obp1F5gY)JX<_TCH_e6@y9-bWpMb7kDS@>FV9!=z?yZJb(Z?wx>nW#u; zG}-zXW(pv%`NpFxoDjuJ`pvc-_NNa-Tch43%m~q$zS%VbDF$g(H;su}jm0MIBw*~M zp5V#UeDAh)Lx`<&lkfFxXsBP;TtYMEhU?yZVrVzBP3d^K1)8BikdEMA=$$XF*#lbv z^vCNztkv{n>TA%_Du=e|Ihh}K4 z<8B*Y?Yi|Svjr(o5h?P^zzeZzJ9lRFmX#fv*$MKWdrnTynzcL23N*$h7Iy4vP^d=uBKbe!h=BHrK2mPS54- z6nDip>mZZWP?8`U*<2l?=j26RUjJVvEj=_k7NrbMhxVdKPZ^YHi-T@VfYg&L2gBjZ)}IcH z;JEYGkd1A;2T=Av>$tdVC1f{0t_hchI2c$ns(#>e5@C95ctQ)LS)&3*P6SO2i3$WP7AgA_ zi_Xb6#@&HI6XA(3qLnbYCnZqjr)l!@=U|8-qVYOVlMh)BrN9W!xyU$$F0f4WDSP|U zjK6;Q4V|CwUu;9a$SO4VgfO<-Kczmti>Ly3{-ibJuP6UknpOgL0r9Xb*~8;awT=A8 zhF~`iWojn|ftTUF4Oyxq&(@iO`cqRA6ZzU47^Qk)EAp8@OVTGZ!rClrIwr|f_}_;= zX6w>B_ZWRl71K%Z!p90;B;h_09A$!-O=2Yw+G6>hL&obGpIQt=nUJp>y+aXtC%SN4 zBZ}(iqL8ovSsZE>sK=wd*|1q~y!&8LL0wO<9ap^yx!|j;Cq}j)UbT&~OW#FETbxii zQqTPGVa&vU@JI@sI<+`flB<(qT^%z>ihOM`W9bFM9;okUuYXjnYu)LmbJ7bn^rt_> z2LA>OYJ@;3c6j)QkVfPi)u^iMd#aH}NF5?i@z^uCk2x$NJ9Fo0TgM~LSfTu`UO`Bh zOm~~`d#wb?|G^7K0}OUwlx{JIhKZf~xQTL$$~0l?u|abWKfg0YS!8f;OUU?nk9i~} zp70dDfSXREL=)jDGf+R3Sw~4h2|+OO=6FTO=&^j_A^ZQ_t36c|omMlK`u^H{A`?Mu75(X=dTZyQYP9;2H!eOmGH zn3qFYVAX#@Gn1kqP`u|6*egG!r(n1S-aB+Zp#Re^m)e^Z5CM{Z8Zi>?rSt>`T1(l@ z!T!e83Ii7a)2MpCb*J7~(~Zu<_=Im633`XJfd}TNpwkVVdI%p3vt$6zTwc$3Jg@FA zH6PLa+Bde7EX@P2|Jbad0O%g&DwT!5p8NPwToilO!)J?A@Z$?+mL&FMt^8#zLIWKe zyKx&Kj?1{(eY?-KILceV(LrF(3G(lkhpXrv6AS$@9l(YJcS%Jw#LX^ zv*e9ZXW36qAkz~_GG#wW(I`Jf=j32RG5tFBuJ|U#sxQ0n(`KlEPyYmzw>U9E;aCYV zM%`#q5_4G?WnK)z3KMN1-(iW!YQ;0t{f5jP2=|?+dc>B4!K3ZTlg_q$!B0A;wiY3v z#1!}JFd}k-wy?Zxzlymqg7gK0D$Mn*5xfHBLRN{&F?M1Jz5>7A$t-(0Jr zaZZJprgd2)aw0`!QWq}*(POj<3yBe9^~-MycP`a=Y_Ww=#v<`3v$Iy>U*Upoa}@dw zCip+7^WW6uB^L&2DDIwS1>9#MEu!TGBTgtgH2gNuntVqdH|dni7cjb72kyMv#*i;! z^t4`fIeXSFGb2MGKLxn#V$P>AlZ^kXfNwnCKE3aGzVc%?tzJjtaPP7v?Gd1*6;Co0 z%TO65t*?lg4>scJ@E{2B*Q|gJP86LWoSqA-=trLqg@woM_Hz~aASNih_N`eYdLo+d8 zswv!%7n=IBk|+a`CwrXsMg+T<3aA+E&$+^6fEDJSzS%{KVw;^yVekKrsm;=7d?Tqc&}8i8Ebi;3cU zqxU@J`6YeB;C)T^4mfou)AvfCq9EQq;Vu{eb7@c;!_1=DGT=-D_l5-#F4J({t6$+`d@9gZs~kl-KX-ux}xQ}PWEQlYf}r-=bNuH_kF zJwo_S2K0CO*PjG+Q}Slw|6=MR8mlnEJY=|EP|5R$umO*e)se0KlL`dv6`X`|GU749&_4g|0ROa4{U|7v2QAT!mO)4#8R*>c5hq2_GUtx622XQGgRi~4nIJa@ z+TgtEdr7@XHcXb9D*oVyKHJuXA}CZ5uxN$yt}<3bz42orw{r-*{A@CW2HfHP2GVv# zXiq3_FGM}pt|4KpHQ{z@suZES8F2v#_J4WYZu(_U5Pc{TKhPBgIGz%OhSvWg+DE(W zLKJSCTBPbO5pFaY6iA}Tr(kbTBXm5)Y8R8))@bP3kMk=n&1r65bmPd;jLo{HxXp; zrocNKK8fd2Gvr@7es-vHCp|g5ykxlN=}$ZK4)i>c8w!(iL!B4&Iu>_nsUPfO{q>5@ zS<9AA;u&E=kR(Odqj9cZ(BOK0kTldpH)=m^V4v}H0{~D$X=7s}b$gfbeiylh3f%9U z405fftEx7PhW}x;d_&5IcOLVf=l#4-M`$%NzS-7Zlt;}ygGU!JsXG9RI9zk9$pt$oV&tIOsJEJ(Vuo_!kIFVocDY}z*c zmnpflV;TZljvu~wY*TFGuj`6E#u>Tyz-6{$cYGI0FMsnqcPj6jtY1%9*3Ve6Jm|o3 zeX$dLL!+7%BDO6W@7j~>y6q2^=^otQ?{-H0$r7Km+Cj%7}%0=K(N1~i+ycq`X9&u-bT!2=6RC@KDoJjc7A^TR(9}{^yMSe zq*jps+7{FJUSqu4(z&vaH}LXuJ6ar+2DeDHAF0f-m z@fXm9AmnVOBMR8};HV~IYVMZQ)Ksvex5?OMcBk0)h|Wx z6OEegK}P_GLKqqujh%M*L(d?hT2~C~lq`*N2+dAOGUK@@YPQ$t+JC3Vr=_hwprh>@ zl$0Fr*4LN3iCo#@{V4P7_P`W2SwaI>K-nFPNz!PE4tC2ol}5iUbQDeRjr**i=2_+trJJ9xHd>Hos2pC^ z$IT^rH%mt6&ykx#i^mRXZ_sm@Vhe4IP+l@Tjr5~uVrKLrHa0S+UC?DP_pGyJV#KOT z_YLf-X3m7&4Sn+P(W7iNvGpDIn?B$V_fJLM-VqV$xl1mG*Nyc(dRx+~o3mfL%o^P{ zE*>xENX6zw>(@hc{cX$0BYK)}gnG!K2$3(Zk5}&2k>-}NeH0ZFlPfek{P?ilG^yA0 zw%1KSn%$2U&W&7qjUtuw2~F* zHf`0WA6oY^jTEUt5bp(z;rK0mn~#yTZ?Jstmlfx1EUd z?bm;dEwQN=Q{pq^#v0|Q9uhVk?eoKEGM=B{GTLTWnO*)M{9e)6BV1*hSqwFyD=nn7r`^Z$A-u7A_+_!YIoweuS=$guKc zcWwVpZxOYphRT_Ek~I&)>x1Lu$968BH6FkAdIFs$1s3w<05VX|B=Y87ECq@l?&IjE zsEj^F9LVBJfq{Wx;m1^pi@!P!CPYN6I&dIDQA^8O5etFYahw=^_1W?ync-)$YX>mX zdSG6$x@UB9Dqj22H9jH?S$qVQ;!UJs&tJ^^5Kz;Vyu1)6Ux)~a} zKK`O@K~PahSy@=M!B?fMqJj;A>rmGRJMJz1F?+TrNBHd}!0-kgWs7EEDTor=N+W!; z?60AF=3Je-!TN5TRZ7q}>Ck%_{0FCoE$Iaw>5&_U+z*6sVY-JK>c%?ij-Y-@#Bgb} zSv+`Oj3p^Q-5e0<-hw%D^JmYVze)9%Q4j?%d3b^HysonA-frZt=%G_S$E||GadRPE zx->!WhRrour^cmv1?>jvL8tZ6$y`TYj#Ixc@tA0)Dnxstyi150m37PwM30LC3|#+{U2~JGy(S3?UMN zkabN>TU#4_AenD#YPi_gNK=6>CWdlE5-asS5_|ZsU-Z^U=-jJc3%Jewc0|_a*Si9k z&yRZN(s!Fg@o(Yn+eA^p20{}u=oc-R(*0UJ8y!OWT^&>Bhzo5af=iFoP#WVvh$RcyMv9Z~oeevQ&vTbF@x_;w5g5iYLg3-C?ISm*nwA8h7D)Pm~`D?#MoW0f%^(&grl)4568jXmnd7E8=PibG*w~h9?0ZpN6 z;^&YW?5wzKp3nUI&%0kFWZ7(ejfUQ5p_QkDt_|@ z12Te&8>_MKVYd$dfg`7nMrD=wIg8lHyE6(JLrg~1%VH0X)!Uq$oD>v_%RX}#MTQg? zI>`4eS$e~*zoYJMLY)l$`kJ^{TGT2A&L!j#{%MCxrKwNro40SdnFp+Jo05`40I6=% zN|>5w=c5trWc?;6&4UpFPro=~FfsD@H+0;ou}Q!#E9PFyo&4srY;0{a+}Ly7*1p7J zA|q_zl|8O*A@Xs`SLX;w+z|N`3aBBE)UI7knK|W4RVY~;&AHu?tlZHdz1s&3{pew8 z+fi`x@p}iHhJ($BAZhZVjH0sZ;RuGi+;&Ujqh&fui)L+ijm^z-`8mFR2Da9b^tBWx z2pnFsA8sjtaq;s+MP>BHVxprjF`uC3rjK=C$1j2a%}OJDBR$W)5{T|-8fuIjYvKv| ztl)TaCTay<)YbQhXOC4MzSo%TCt$&{KNy(7`SA1Sv;1Y94DS=ICRjk>B}-O;%QQr; z%C0u$!H0HqB7C%w+C$dhzYP3rak62a_!?NJrKoacd%=mSL&E3(;o~FVq9X1B4_d4X9RLWthRP}i2SS_i z%4e^bEQOcFXdpX>$cJJi!dv}D-coe)X0pk0_B)MszAZ1`{lnuh&JQdhdsC($?%=RI z32?#`goL=bI+)g?SNGJZhu42tPa@r;|6E(8VBxv}6$DnBR{!;PAZ%}@KwPtbg>HU{q@4?9g-PSp$BBjOoPT2!exRHkv z0sf%P+JSM6UYF+Ay=koeb4L2|RcfX=uSbei>OwM5x%5h?9&#j~mF_A9Ob?brj#o4-)au|^qW3W_ zaL{ivxj*Nl9c6ji$`XK-f<&t*Yrf~d0(uOuBp_jS;vjoR$BAR45K7xUpCL2!Oeo25 z@ZGo25>eX{_$AY<=uq?dt3(t}oH%jH&dyvcCN9o%=6u3RstO$MG|$)&X0<;%^abw2 zTyzUfaTarrpO=)90>pldbWa|yId3%)sGt3V&DX5Aby&skJtop3z{cMj>d)5cHt(is zq}X!!x(DGY$X{VdYvV9du6y^om%Vn}0y$e|sBssQhqSnYby`i#&D~2&_dtWmK8Og{ zS3VJd6$R8Ws*}>4%-lbiMN6KKP#)8y?@NqGQd$#_Ac#ahYHIl$5ogo6tn)0pYCa!2 zXjN6r+)10Z|3Z6a0nCSl^acvD^ym+kepV^EE0ld~X1Q`r7&V_27~w8q`6+ynuk`1` z(|u!;lQ*LkZUlM}2m@?8k#gW2XYHCo6VipX>}k>C#?#4{RGEvguYmMNsWO9(!YlH7 z?h`r@_Tg3%&o~X`HEacVgSof?Z{G+lZ#?>j4(ERFde8jaAZQ9+kuUpA|1?tyf0h

$UNwo14D6Z`*d~5y8xhv z$|RvXL!&jJ78_zEn_`s$ax>lt7VR&u+Rg2)+XI>^)qo*6O4}bS&~H_(jjqw?qx92? z5jARDene3VsJe%-H?VB?B*SsU-ao@%#+x7k$)L2=^F0^`nGrtSXLftz3@JcUV(KvZ zefsq-`2Nr(R8D+HR2Ruy&8z1jcuRdok)@DOjLNM-igH*GMI|7v}mZx?n$C2v`3cJgKxU zy^|@GVs?>Lhug?*Yajw0Bhn*kj117HzfFlHV-FPj)n&C-QAVU!sJBYJHG0>ztWhdu zJ$}|JquY~XGL#y4qAx$g4Bb0)hdgj+hD(VO1RsjylBYwK1V#$H;ixA67`}7{?=4Sk zJ!l8yLlU@xws04eTk?j^a4jLWZrX0f^+0(?^wG;S$O=7ZfbTn9hvV2eKD4vn*%3X@mH4?X{KE`BLwwu~xP$-T zX!>3$d2Q!x2#(igR=$GkuKV8Oi!~1wm(ST9IHA_KcG>&wW!5{@aPxl;-y;+Gl00^s z>BpGu^v?lxZfT+SzsySh+Jhbp>ig9l0KDtGyy%!P!N(ZO3ok*CgmC?s^^>`Lnbu^G z-AO$!!5cnx_&O_vX4R_0i3u)6Mk4!Sn(&L4ss4)AtYkb=DFr~cI6eF^vdBBo7>%q< zhS0a8Nu~~AXkGW(FJZ*LWHfXSczVNuK%G=@Q4Jhlryx0QFoV%ZwgX~oHfD!@dSW5) zLO=;do=i-8$cHDcB2eh;5^KeJw8g_uB=_9)N|Y6E$ONwiE7t}Bu*BBwObb7AbwGSB*tg(f7GZg7D~Qh4IvQ{M%@W82~ds_T=U%Ln7n^&u~s1Sq2T+_ zwiuAQ*9vJKzU@fIDw-cinFj7KgaX;VemW!PIRYMslTP0lRBM|!;>3Im^s;xh>Q~8x zZ+0i*iF%ib>aMG(B`QN7+urtB^d57$F<1+_E?GQfUS^{ZqOA8Cq@k92%3X+hefDoI zZ=s*5OFF4D8v|FGt8!ewP-0tMU5~ftSGx!(yc@dN_ED)^KxSzG5Qm1uG;*yqu`o+H zM?OFYYJAkh^GI05|ty6-ygR{4c(0?P#YCW zSb9n`Sa5mi7ql~Q6UEc-+u!bvkWKigi|3bB`j>Z%xoJwPN7w0N=cf2G=N!ob#imBN;TG_F z;E^U&%ql{OX!CRhF*$6I$j9LLzlw4JkShG5^ zOP<>t@% z!XVRkGA)pXJMA%XZl?mbX9zAQKU<%jfcva|BV{=xGvQq$z1G}|H@4&d2WF4&pb!={ z06MK8-MG&Oud|>LVw1rB+r(+RB-<-lj{3YhNuOc78hgmQX&-KHfbdMHougzeQ0NtP>)M1-u zI0XfbM{6k740);}r_-8pCqWTJkVy)|&gbmc;p5Q}7(zGrw@4!k1s( zcW(hSqKBPKEyXhdwWhb$Ez% zbKp~OHv#)ehDD$qClW4_2}Too&-btY89bRwlMPEDpK*b%f~wXE?n6I;akS^Xtp=O) zwwN`A5_Coqpyi9W%=8XA^pgDaR@N;+wyPjGDg~4*&bU9LGI=ZYk?PW{3I4-;lKy)2 zhS^2-?)0}%9A9wzP){6(20wQ}D$$U;j59e{NMis=VAgTfMIbQj@RDnr`yJ3dIy7UV zwj}WOSOU4SnWU4V{g0etqXbK@uplD$v~b4sFbUe*_#cW7=thMdQwL^I!9t){A^NX|^YHmEi9eo7)~I>cfcAOs%jYMW?-oGY3*4LQ zX_kCBK#D`Fx5v_3f}*fqqlxeN0rFT2^o{>XPD_uJ3p^n5a82Hf5>ej902ONv{EjEdHKfpv`Q_5Jf4kSJxFqL48cTX<3A-1p*KDJACq?8jrA=|6b$(ePiZ5p8 zZO$ViOI83}6FV88qH7AkU2yFB6Vfqc#w{|*TOG=+t1;b0i#VYcqr-Zz$oTJJqiBfY z@F7hjqr}b2DUWEy+?-a%dYslix@O^>a-ay_khw`5*sKe}en)Bgs9vvUUx`*}^_Jct zKg=tSHKpe5ZCWL?b(=X6)(@>@+Dk6>3NjNF4-8u_|NR{<0%JF}I3&$`j;N;GYWGRhO*N|EK`yq8b z&Uf2@-oU}jU*V^99K)+a5E_;#pocY)p8uVxX3KhSK6E6??VZjyNilFG-m^CWjebTn z)PTEk^B?{F7sdL{KaW#S`BuNORIGFX7!1jT)!ghaleI`f_9)kqt)C|f`Y0{|9>(*) z%kYv_xel^<(r1z*$?;iGhONNJui%5hGaCiMy@Bxfkj%m#nkNV!5!ai{meMZ^|%^s5~=? zO?`B2_LQ?WUh_Y8?X{8uJeq|hJ}4=uI@?YWx{)6&9` zX;}wwWNPIsN5fUwwlcGh=jZGD|NYdWOw6rbH7Vgp+6&? zXENVfkDWOJ6~SH(9IuV|!y6iKxa?VV9*WQy<&+Ho)Wu^57JkFrra zN)aL^E`85Slm|2v^3fuP`o^$p^A!oJlR4wPn+WBc81)W*??a{X!WoKdY9)BA$MtDK zMOWDMT+{Gn3;zHrBuItmn(~P=rz>X^HBh&?s+IWkN!>wHwd7Lbbd~vdL6cRurt5Wl zah*ZH8vRifeIEgEQ1tO(NsOCIZLxel+^MX0-oJCYddY`71jl%S z&acPsl(f-ngV)nrXv2nXulu@X{eE?ICNZ<>1K5wTBE6e@-*3`9txBvH&}5%q!(;Eo zrjF@6C})WDE|zbO>OC;q2+3IG%Fa*{1H;E-o&_d{!WAuYhIK~EL-NprFj-nA>V9b` z{OY_f$HLc}1yMNA;)_>qEH6DKiya0@MZG#VGem5+Nd*z2_r0lfHES^hY5b#XE*F6q1SH&|!sC-WdpQQD4Zj}?DdXCT;3ZZvg@#VIsuA!6de?-5pPN`#-7@RD zq+wrigP-Nm1cgO%Yx9WRotA$4XYm@n>{ryJ2Al`8FL^Y^n9UUhRQ)TZ7-)NOhx`22 zqt38QnP~&DpcC_tKsOVtZ?Fa!)U+0wI*O?OGaopu08G9utT)&o3Um4I#I&>(o z-J=VnmB?6em344A7u3@(618i))$WIX-yfujOde_#beK9uWjjYLbC!lIo6>Ck@6_cI ztJA914W0?qsVC)B%|=_na{V+KD7nSdIL~9(lWvFAELuw+!auCaPHoD_-C$@Rd?tK+ zattTo$fUtnWTa19D5xtOCMwSDbxl~(8WlJjx2INLx9nQ4ukpXdpHnBc{Z>_0I4 zb^3A)O^$4v5zAZ!$M$8((6wdnCW>HA*gEB&2Cxg52wzI|qa}6sJtx`WE}G7e@{+Hj zi!}-5?;yPv)A8I6p=b|9L(H{L4gcut)&9VgyrTgT^Ia8GZ&zW zX9=2aRbNf?b=eD(AB5u5hpf+p2dI78F*v?*QL9=h+tR!2##Dg=YbLd@dW=w#XGe;Y zZ#b4{B~Oh6(;8%Nx!S$|0TVl#oAKR@mL~s3{z9a9*y7j6r+m4cig6#qv5mOi#mcHs zdHLX$z=iV;Y!sx9reeBQG9l%S<>e(tD_xr`V5~Rpsfy*@ED5_|Gn1KAAhMHAK^430 zHy$x@n6XX2%sW1F62C|Z@ez!|8=HWDVp?M2l8@S)Md4A$SY^l7cq5y(UUUA6La+(- zUwQ?{H+>B&KUcV7_@2UA7?*EMr>swg=2sT$r`AnWnpTHM?54NM_pvzmv`(n!z=+Dx z`5{xp-e7^t=1`?^jE`aTTe+nYEpGHYgxFHTaTI8BC$7zz5LdWC*qi9CIEd#!6DT@e z%;M#_d;?0RY_Oyqro^0fG6zjW^V#6Ic>{tQszXlxqRreltlq|=1$VJCU?(F$jvgxc zzmgWlUf?rF@27)T4#oU~N+I1pIoJZ%eauAZkaPI}#7;=OH9S5~5c`Fs?R9-0Wb4H&@ z21VI4!u#Jt4JlO43EA7ExipSpLrIy_A)MSBi8luAAjCa~FxBEodu8wC@*taVN!{X> z_F~#nWQc;6=RmeRUhv%idb?!b2BecP0NrX5Kfl7z2+zAML2h2in5TIz6-N{#E!_O8 z&&n@GH2TNffR^EoP=~0UhLotHKS#C`SSu5)CKYYWAJyw<)h)-JgyOpKkSv%pU39o9 zB&;h&Iz41``g7osx)VcL{&DwAWVO#lZVTIV)NwwF;-eH<%i_m%fxU9TJsGM_!zB}k zPLpzSXa|Qkgyve^QVC+qHes{S^8TO$%NqqsVQY^^w+9;<*k@zCYL?z(^84zjk_5_^ z#R5VUdLv9V&{$~5ui%&&Wyp=sXIf;15*@S{DX4zlJ;SQPFy9rG(ucKgi18)?fwHc8 z0GTUKn3?iv;Sf8}5yUJ{!rjhR$}TobdzvS)dP4!#WnxaqY~!@*vF{Rd5Y|>y-EFXn zY#semLdo6Sq}l5J&m74cD=9tb^}>S-@NL38>&!@Th+@$`Pg5{k{{76BlS5d|nJ<^z zJqz^iW9!rhU>_(4sie4}3yXz>G{};`niyY-rID<)og8x9_wH@xRM^0#Th>8xOMhc_ zdb_jpAM(TXyg{ch3RM%ngNQ3@+mtj?anjw~T$>+H^0IQUn*V#S8tBsRdkdF*bsv`~ zz-=s(UhWgjLnISJ5HXB%v_Z{8fMNNjsp&Di@-w_rPU-`oIWff|CneHRld}v!ye>v) z3!wXKKC=*l!!&pX6?;L5e$9uUv(+W=Bt+g)%cw)*X-4_ozEK><;Shf|`CPD%)oPzdGf_1_V9fYcM>=`TaqMg>fY2yrfzKp??ra`_CS_V*3 zL!X`R(mqv2_}!$m?g^2fJj>HIVrrVN_#E|{Wh2wH8KdW*Uz35`nMt&01#i`x%gFj3 z549hv(v_eg6Js1c^xvpZy>jDM#>TO|@DpjIH=vxmZ*cX;P#eocQg5q%H6@X}4249hd69focC$gUpEkjBEDI@ubAkmoOmwFX>lBjyI zTO}zBag?IOYSBJZ3ck&e`Z3MI?%f7;ZXyW+_zMQIoFy@X4P@PR>jcG5kzL!&75@I2 zeZkTt9!2yEjr&v%BJ-j9Ow{&D=ov+q3u#a%0K|xj`bSeS*;w%(k@AgB&?^@FHA`&) zC$ZRkhQPhVj3iE6LzN5x~4k>``QB;u11(GmnVjzGib{|lTu~?10{jrUUH!* zdfCAv`AoC9L^jG=Q4~gt_3&emSbsXX(!LMkrMsz(iJ@cc$^7+vnkm)33UwtCv0ZN z3iQWP!FTqtWg+#q*T9i7=$;=)xkgX`Tb?g~x_(uAhO3V#$yjYZxV#+oQ>b@?4R|Zi z^P#{!dlG#BQd~jkv#-dz{2&6a@_j0_O#s!HIsQV%gv$(O2rTFz%a)3nTtfA^}P zQ;oa!P$$|MCI~u1j9{+qhDVCgFD73V-`*qvY($+%xK?E%_dGL0sa8>Cg zM`CaiDvQG}Z^JhDNFl=qN9pV~R)kqqwja&=6`@R{kKlp5|INLve0@K%a@Jp_%V)YI!RLw1PF za8x<(kYv7@>yN;8A=r_L7WmLt!<&kDnD{o3;`jC!Q}SPDe7K=U{$2ZH#uk;k*N7BQ zW%y^j{lP66aNG{PWn)tB*<@l&9_j{06^xRL`36g4TKD++jZxj{6J4{r)Bvw`fJQp3LfB#{o{nGQcQ1TzNV^`&+UhJDH{I53=|e4 z`Ey3{?c~wrR*H0kV_!(hVQLUIfoJK#&(D^!1MDZ5*oou>XIdlDHboGhX39kUL zQ=2;LtSH}aG7dEN#?mNtp<<+U!^pO=YbSgU>{iY;;PI`ARp3qrBoUyx=C3lw2RQ8ysUAlsD_0)tbmq@_($|PjtVq4z8bg>s+ zFoQcH%K7bG$WOjNFV8|!d;gTDXNnYYH(a&lda->GvBhEMFne*U5>K(vG6 zaR0M3Z}bJdiE>(sV%gaBNtB=p^1OzCbY7E8FG)>$q-w{)Sk~0I(Zpngcea(S+)tzM z+ginv8A+vK+i$(1<9l^AO#xg@qv!aiI~qzDv-CHbtDeo5J3+FYb`o2>rxb|xDZG(H zWapSK_GfM&f*Un!KRgLt_?3#I>gw{LT3(S!KRCl@(vfYE_-^f|r;eS%kDQkK>u#}n z8BaZ)yzi_-dWT3}-nvp2N?0bJ8YZ*i{Z;fRk;k;%boYuew^=v&+x6{(IuUHlh4mXH zn`d-3kwr|22Y46rCd)H+AaD)TD}hRVB#7NtXGR?q86B{RC80x@ZWaL zVTlrhi;TA2BNn5lA;K`ym1I&M@3i;kC5In~UcjLur#!O@c=>N9zC@#hI3Svy^zTQ> zK33%6XA-Gg&^>{VV@fH50@AOB2DYn~!+BbJRWeGrewl>eQ*oAY58_pTq@&+D{)j?I zPf;$~mR*ZQ@rR&!CFn}k@?h$~i2k@<{AiB5Cy zpZ)W~3~43*P?EpQpd`+|F-wyh`FL;hP;IfqH`A^YW_2Sc4m(T^7jfYzllose!)}6hw^^+VMk-55CD52Flc|rMO(`yBx#bCUkLY&b-XDH6 zlKFxk_^U=GcG}nK7WaPVKj?bOA97raZ-s*{M$q2?J#5OeR4H?RN^YT-;^%^eeP8kE z%oP7eKP(oWevK!1yD`pGZ$iSFfsFpJ)*nE(pE8T$GD8c3LbL9_t??Frq~T1$Ya$x) z+Y^7gLkR~@NxJMG2M^_%dY0QB=DAD?#NEarCasT}`XCaKB6(J_P-)6>%aj=~r7!fE zR{QJdZG%gl22l8^xpjE708uT`3=w+|f1_Q7Q)()c8DU9?8E1XCET#_RDSegPe1sB( zTD9<38bc%=W8u2Rhygb#mSVZE$;KgcR2v{s_yGM`$>eUaejH%Mq4b=76+^sQJr9Lzvm z`=SLCf3?uB`R(c2+{|92282zK1z5m2Z(<+Y|9LAc{DWOs>Y|Pa`(WjHODJS7;_Z)_ zs5^yy4+JK9Ebi5I7_pqGq4_XwTDKnjZ}vaeZElCp zKKRSV?k8q^(#6}Azam)fC&LNL2ZN_S_#Q%T@XkqxXzUno{rn1eWq821>-cLy{#5mu z4Y66Zae0+L3yAsMh$kxP=T+p)5bw4DzfyeB?29s>i@Sem{%MQbH#|m~Ab5=yM|o$P zm`5BZGi}Nbb-1%`?$u0R8kCth*>h4^&1}8@!2mDZ6t>e+Jt+~Fc@IeM&_;h z*{I=LXzv?5s@Liq-t4ARc^_?fj89xPBPK@?o>j+=RAa=BOmjP9wQH@u${VN>qZze{ z9Fs?*uK1Z2_F|hHqCEI<)L8Aik1BF$dR*3rebRN&l^KpgVwl8>iUeeLknl`1*M!~6 z&|MkImW0z|r>p5@BVKw@M@;Nf8{UBR<>EpvGdhWi#MI~{Dknnos9W7Q=(;gb@A-aa zlwjR$G8VsQtm~N7F+WjddO+_5UF%(B#6tJzlarmvY1wwy|n~4&m%$<$>*y7cq%LgjX|GWM9YI|dUN??_h(^DR) zU+hMndEiJX0T&rR-0Go6@>osKRXI|W4Z5a{_kH+|GUGBBQB}*Mi!gyNuQwn(H9x+g zAup_SSnA!VU#~^mh$Uq;O)A+ddEH1~=OT(@Wh9*W0$L3sVu*7$oOobFHX^;<*dfua zYRW1KwImFe1rObvnHbW;NtTC_a^blOAoQJ5WW>YkmAYnAYAz zzl!9AmB~D!jt;&Jb;PVBPySe@OuqUhqUUI)bNYI@dieU(F#hU9KE*2fa-TmnWSp-O4qk#*@HM60t-KN0Q|cc9;^-lBg?*Nm=~I@|6-y{bY= zIo;A8Su;Ei4k~Ijzk&b%gfbnIVJ|7`*{YLeTKePz(v4N!rg}t^tyM^$&+*BXXZqD+ zlGi8nhZ4Sj|EOFL_HYKT72(0Ybt1?)OVW+PDTeFOn`q-_PiR?>K2+RGss3Jj9>_fD zSwmk!o+Ni<9f@0in4MfY2=>_@;D~0bJyJfR<+Ac1ypf`ee=~EZ-b^diB6rpmlU5d+ z&_L+ptz@4MC4 z^UpB`j*D&d)XY#w_jw6b*ANkDl8L;V`|fxc!t0V7P9_^AuC@zz^V}Ul8N*%Tf@K^m zSIfXQu3~aCbdc5kmA+E5P^CD`5r2!m0xmZ}d3HeRphXzn2K+6W}q1rlR(SRX)V5=7^!D>0;K3p?u4dvMENB!gr)?b zV;~HaLvV7l=)y^PNq!EVQ3^4x%rHo!KM0mMEob*88=rCh$U#rJ3*bJ_x;13D^4*x1 z7{~gWd}AQ)e{n@j&vNk33Vovag5#J|91rx)E<1cHBy%|<-*#1#(X{M$oC~ny$h*1{ zR@-v(W}L4173LmQoi1$Z#p_rY#9Q6*@VdEkS$4Dy)5zyoGNDD!vCX&#JDzPL>lT(_ zu}LVM84^;q_V|cv2=ePS%Z}<2djl~ZxqKI zQa&6B)*{Intuw(_HhXf-YgxW$J6rV2`31VXMvT<3i`DSymUuEy(QF}CtAYpK7jP+j z{#J$F*!kmZ?0 zBRt`;xklGYO0u^`K6o2AI3^f*EvYnR;`SciLmCf@jYSm}j50AB6x&lnag2WU59gqU zWbB*y+iN_${iQ^bx^raShVYI;6bVF zQr!%WZU;-^VWsB@w<@RepE6x69LTr>c=(fhDlTH zBUUp?s(w%Qb0F;jts(q=?nn`}06Nk11$ge?V)QkD6lv4WebTisG%_kk?$Fz-zB(F* zzqVD}n9sj5{;Q>T^lWWAAc+mO-4MGyNWM^c)rQ*%IcKH#S%sS05U2 zTdfV@H(yrq2`pcxked;Joq=g|-Pr4#ueUrmgZrS|BpJT;F8Y5*)LL%E44XTJ6*@h? zZ2Y73h#lXf^H$?<*is=53~)u?H@-ql7gJj;h8=rwfRD>JKO!qrX6ZcCa^(44*Y0qx z;Kn5My5OgtS6J7Sn4TOm@Y47~69D0S_^W1*C+e4J^m`+*Z%4~f(Y zQN;^TY(bI5{+nMJv+xeMV~IA*yObOYF)oQ#eBaFSDrE?hW(5A@9{vj4qQZkgP{{G! zi#8L+9xrUuBuR$`h^wXc5&xUMYB3*gJq!==xq$_mVS_v^!0LxMG!wpC;LV~S$V z%L}CPd(wmoD@^@IUx$YZiof@8axZ6U(18+qFXSJS)NyRzzKap}HfP;@fq6^Lc_hj0 zW%|eWSK(jYwD_=2m09RF)RpopoSd&Q;?0_rbE92M{F4iMG8{feYy2y5OQq^f>vJL# ztQtS=kbWoQa{uYvB#B4i$r)ahJ>Id9rzL-1yPq7e-#*xR?+}QPb=40l0rLcM7jp{C zDf&JunJ;n+;`0=SK!&du!3XjYh;q0RqJlDSxPU{OD?dL0r7oCaBtAvz8=%`Ye0?S?7j*?75Yu_YQpWyN21E$^hz_4iw-vK$X?-gl`^4qg|Por;oVGOt|Yanw^` z-VwZBT(5C0R`jrPPY0V(&HDBm?M%mf#h6Y=PCXSBZHOp|%^E&orPd3#n*ntjgzh&pJp3Y$AB7V}@L@&n9B4Uu- zfFs6;wf7YnDrfoR-6QaTKkE-MFyN)ZLsK3PM(V3x;^D8xbBvYoF9FItA4tR{Lz?Nx4(Ak zJuLa04$0oQW#nx^3d3%#S(*8=lVE>1iMcG7wb`a*2LjCYIjeNi1z;fbT7G5#7Pu!% zmOwMuK{49TG9Lv|3jIZ3i6w9yMQct;O(IP?0FxC)e+UV4F~dNRH0>u&X6FWa%r>+- zObzm=kA7Eyi|4`kbm+SU6Isk{;zmw%pPBk>&p|o|4Z|jkBbi~GDf+EsJwmna*!>ck z!7Oc$F7sKl-#_&sZr4z347oz925Pp36u{IfTrWeE1ZpjPLHxXgBSPurL;;L znw74#B+LBNtoTHh{UCQ8KGwLfVl|Rh7M~-#69e)KQ~|xV5;I_MewFThwiVl|)dh9g zUfAqB2D@nZNJ_7x%oo-j9MbkEf#b@mdzlNB<2lsRfwE*^U@|Dk@zH$3qhD2Eo6C=4 z8BeTDwLDkLtC;S3tjiu%YCrFA#5bXb{4&lA^r-dZo9%bhbtLI^AzfiXv*N#JS#Lt$Lk-SJ}$6~YM=^9S_tWX9N zG|4EghA(Dts4>rYfNq+ob@w;66jtm?BHaBAl@J^6S})kUtSqxkabBHQj%cm!T`y@C zdg$|V+Stl?>aZuy)0mCde3VUT)$LC1`vth*NiWK^`p4)$SuwQVmp+xfrcCi-+Ks*< zai`Wygo+aeI;4Xr$!ROufkyj6Wtm`eF4~tj!kZMD@zKHQpvLo{;1H-gZ)VmdYtAg+ zF+_~Phq%6jBjmj$^qX`^-u`%Np`Ywg>#JvG4Z5@{>(6uWIoUor*=AVr7hwh`Q#xvo z0tZ--ludM}UXyDGWT7vM*_Rcqb3qLfQ(44N?6Lo}~pj9t- z&kamjh*LE0-ic2yTm@y<+flV8ZD$PfP?45@2qCLwL!8ZHnAdHOD9``Ymvt6+d^|s{ z@lGmZRk^WYVm#%DkxpwoyR;y3n$ciSGMO$hur&jznEYya1aNC77v;=X8!T3v=(`2% zIMbg0Gjh65o}R^=ZvhH-aXGrWdW4v_R@37!WROROBbgISYAPbn zoxrj0k3s?gkHgX(S7VN{LpYyZID7qFNB_m*Sh+@%soWdbP_#ALy1!s;Us?kLkDYb# zm*9Rs;8`*^U=l%!`+xAhxwuw6WzcMb5m+u`1=-d@~dtkWGEJ- zx2Yojdwyol@zLFy0voyC_b#E?)eQ$^RpB*ges)!m!?M@~!mdkf8YqYkp>sek^sHr_ zMfc+Dn7=~ce{lkSHQ(WzMU_C9%se_=jVhV{4ul7p6|) zmT%qdLU8Ji0Ye0~;8OSQGG}}@9#cCX1a!3oVgl1(;P?#EDz@HYr?Mm&TCF=vmf~ss z)!MN$@Z|ek_BHbh(==nLwb6X3Z>3NAlp>91WrC2>v04`+BV_|xl>&2uLPu+wTXTPH zW-r~t1a6|j$rCyk4=N@X&Csl8UGbfrEoG>K*f+B?)5bTS#YBn2V~49JOR3 z(z$-ovb{u;r8l{K1{QkA(d@9N0SmSyoLBi>W*irZrW*Y)>COBt)iqXWjVPK3^1JXN zLe3U%Z2Y*Y@Yo64^+*<4yN{h5B8JW8M5KVCDE{Kv%kIU??)<1Gd;dGwmMe*zNslUe zr}{qQM7KYCk76~u(gaK6LzsXp`OS9p8AOiiI7|BY)Lnl&hODsm_pd+$_Va3_g8|o9 zH*(FeQ|dREFOE4@tqlE_0SjfVa&znp-;X13S^E@Q8LL|36VSs=z+#g)Q^A==KOfXb+$}%sj~QizVG58w| zk&WiPh7-$L#mjMSi;d>~QFMPfI-AHulQ=Kgw&Ju*{VZY0oCvcvhhMqVbFs*zc z?t(JQ5vNurq z=Wk#4zwp9`fi?lK9p$HQVqW4S2D|HvU*tRq(VzSgw_s4}W2FvT_KruNhA5rBUw=k- z?`t2&a}@LXME{+|%t+XUy4QM`F*VuAEd9SZemPO&N$HIS{<#kl=%Yj<_o@t|yp~yi zCz#t+iIFf~W_%W?Exgcq$-oxZ64Zad`QIhS9fO&4`jo#qngvh6pFUwNmRbz)qq9}? z@%{VRYcGUn>-7#bjek{DKOc7d*c)^8?{FCs7WDhlXiZEzhIiKg;deyWPpu!{Gn)07 zHs9F?ULSTEPXKwMGA(-y2fW@RKfIgo7MqT;w0(af5OxxQ+CJ{6T0>WQPR@4dfzZ=R zAN#WFzaC@rnOfse_iY*J+uJvil%b%Dcl6oQkFI9%E9YL&Ny59NsbYz*N?MIYd%eG= zJ5E;{q+Ekn%bCM77mc&BZ^^jnU$f{1d8Vt1n+CU!Wy$&G2Qm2WeozZmW=zgUSY-&T zav5IvakMu@&NusMHb`utwp{l6FW8DM$^Gj1)nfcH@9?Z=MBwY^=p}^?I=$|Gp@ZzE zu=G{Mp<@|Aebi~Y8-K{}Y4@us9tR%>#A_I+xt)9Zm-wauHa_-Z|j0Zp}nv4%I> zxKnb?WcaChnzv8jpxM zv($U`SSGPMEQ^occ-njV?zX`l550&6>umcPt%&mmp}<{B{wqQD#Y4JZ#|Uc`D%OX` zh;E{NYgL{{?9!WRv|ew*=?@kOn6jka%}RQ0dUCFpuUr3!rpoq*XX+Yg+h}{@5zgtK zAn^j1la0@`G=i>|q65p0yWTh;{x)GD*Npg>1U%SrNd_HTYjaxDb+Od%%7~GUk%3LO z_Q2wx2}o+T=LWYj_Ek9nUPuTl^X;ZtD4z!_(GtDcy$7~W^^sn z!RmG`b3A+9s)0j@Z)Ik~OYAVYi1uA^Df#})HM*{DdkIL7ft=aPc2PRyS*CMm!Ni5r z+>>18tmGF_0#nRQjVN^wUYDgpJ!TokN1#ET+#(K_0>G;QQE{4ma*JuCgOv`xe0Lh#6jC#T9&NbyxLNjH5I$=VyWM8I?C>4dIXDbtn znfZu*QfGda@%4Jnkkc?|*u=7?+qtmHWZyVpsN=(-H3oLKTlze&m@Ek;owoWh5 z!Cs};SI%4uZx&jvlt&xe@b>mgorBSnU(fBUg1R5JyhxwPzRE+$J@fAz*Fs)P@|Z$7 zb^Ujg8*=}N@@|I~_~rZ!|E8ymlNF}2RU?=Ae()Uupr@_|5}$bW+lL^Gxina$Jme>jO^hdksCu$?Vk zHz3E{9^{$x*|yr066KKkY`Iz%m_X06Rt*KY+YBn}aG^5UwprZz7<&T_4UsegRc;2z zFK><@qG&dSyBn&rAH3~~%q+4Z23=jxz{~40dpRM5q+@q#Do7@lH?4DB@)~EVf=gOT z+pir_Nrt}^*vSpcJaHQlK-?EERPD{5$biFQY#VgRt&z*j^%9`aE_zq)dD(ZeJJmwDT zKO;e9>N+#6nV|~z$SXQsp>VHSw#2jP5sPRsx>?$FZSM`qIVVs}{83g7U*};}`LVo& z9FEc=KyVak4zsXpkcyknlIfk6D6$rlDU#tf5s>ENp1zLEskpi0d~mMQ5q(uah*aGTX2jsKce@JaJ(9NEFR zIJv;HDNJP)ATT@!%ctAyg)7tZA*7V#ZtssYg?Mml$w*U(aN*J9-I-#5GgHX8olwbED+hg41v-Ef zj`zpPkzJ>d6yrOrKkV(ABO7c-v`T4`X_;i zg9M?}@`k-((!P7-BMsg^xoS@LFB_f&)^1pdYpGL82Ksvad4+~dI3 zG0(D@j+#g+%z+gry% z(*y~XJT)9|y}bG4AIk4ST`~}C6FW%I!4-JjUYR}a@k7_c+`QytR^`3HW`pq`iq5Uz zW5XGHj}DymF4h|$pB6TY+)*n!q4I+&^m(c*MOG>3B0>wWXI4>5{vrINnP}mkt#h;(8+1|+te!e2%RxG9; zu~I-~mCJW-K!_oHBmiKmyca&G;aP&vUNcqhC>ApX$YdCehM_cfga!Z>f`VkfcmQCL z6_Ui28N4wP9j_M5gTP~OGBOyp>Bq@@>N*Rp&`Q;nXNdbg*OWcCY;T6d%&D%gO33&O zZ!@MK!Q68rcb3IeC{q&3^YzU$^AL^4{QQGWwEZ(VXpXu7O61+e}n1%UiPDz`qh-_}u1!<5XPrc^x?4 zg^zidU5SpVNT@lEiEC~FkNgTwh#D+aOuA2md5nm0FXVVB+R9bL4B7z6vtG+=WFmlq z&zyo-Fpr;Iq!iqc&rsnJ8s3kRhsUn}FYjAw8GQIp&_;j-Uno7m+2%e6-4_u9#U!{W znR1#DpQASG+)NOXW<`bx7gdIqupc>?k04|L4Id*WF~Cv#xJNTOHwg3Qm?m7r0YE>^ zM3(7nI8IEhoNB>*G62U)WCr}IDkiVf4AZf?12oBf4kT%CXOgNqO4D$W)7=H^0s#j; z3Qf~O20Ey^`Vgy0;7`>IHF-Y`yO3W7A-kX4BL{LF=p(g#lVw9wH>q$g-*x5Q6pfK- z*Q!Jd%uQdYhuH*20Ls)q`8WZJ!ZA4%g5$-VsgC6*=)l32!r*`b|J-{ZHE-d2HHj|O z{1`znhd$P#2Js@>e`Z&Ap|Z#@C%vk?w#>0>D{c;`ix$Wue-0ozlt$WbjcpEa5;qrr z@ub7Ha#lC|;`HtK460_ix^fduksCT-&VhsW0FsnOcqdKKH$!b+fTP%IVsUC4c{g}K zVCE9KNr00V1CT+wRuuIKIW>~4Iui?+q$>1@aLYg#fTa>c#qSEi2^ZB=X{aU1StXz001ZoN|hrHW*?ds;&z2S=UE!*6!9IJY9Cu=l0{ypN_k^6 zd|BqIAU#sk2uVx>oPon|klqy4S&n%DOLqb&Mar-MTqYA}YG7OS3641cpqT^o>;p;c zvh{X=fB}%k=pKtSL6hcQF=;J~zz~&-{glr?y4hc`(peGkP$t0sP2fU>t$tm4eT6e6 zID$Ki2gx3P;q=fh`&DGc5lYzqdZ=%ZVgWn^x){#CCyG4XU`cRJ%o`z&IKRQ#(;qpf z+GWL}9Q8T`KRdHJC9ixM($trPU7sB5_$AeDb2VgnG0x>m@Q{NgT?hQZ_> zP@g%dKgj`E(X>KT09YsSb1{Gkk?J`h0KisR7D@wHnt_0aXn-^aAel)~r3f?u0*Q5s z_%4gg4Fr4?N`R@-lOzo=1&W~o_~EEsK`@b~U;ka6 z`x+YIx$0VT7oqBoKxv&Lh2g02M3w}QzCa865hPhoBZD(A>mb|&&Xd4y7kfkYt z0cv0%q7P&M6GLn^>-KR}V#KucMdo}6K%RqpE`Z+=>H`M12liKraiCPx1P8~I22WrC zvqJS8z|R5}G#v=}NX-NZRMT0wK(T*62_Sq8@H() zIt%_tBwhZ>$eX6T+o-~CgWnV3COIZ%d!n&1${$?_v?0DDajV^3{(^28kQD;x`h0epuI(DT7u(8&1cAMm@9x08WWw$=Q z({*t6_eYC{%FvH_dJ6guKa@tk9i`l{$lmtIB$K=>_gUFo259ohQmh!H-3S0?vNzn01Osn24b1-3b4C?KVAyU<1$o=+W{bexc7eH08D`Z2tbC^gqKkhO=F1d{rD<8 zR*VcD)Z=QHw9?32RlSc?SgJJS0uKEfAhETE^-bJ;0Rq=@Xm>KLke<#g*M&(O)$CFAM7-O2We{q~kUXoanXMsb%?ea2Ri|8@sJF*qmM26)vR z;wT{bWK~-OD-d8AXpRy{v)C3GkP#Q9>J1|Iar7vxG9Qr~UL?;FXqE%PvlQ`bG{rOk z86#3Pvo-Jrsc|>WM-%$$zi)4W02q;eg0zIMn0^AwNOiyZuq1P~P)$03G~pCS2-{r( zrN7ev2%yVUnTz|ifC6P+w0sUw6$pV7K=QJ1+l;2>O3eAStCP?Z- za}g;0`}Ss<)&vLMMl+zW?2T?YNFN1$+1%ct86bh=2{y8igWF}n+xD(C`+r**m|IN0 zVd5#&)$cMvSw#3jfykE;Pi25iN82X!dWo;ivrMNZ@cR+nBczJ~krf?14sfh3oI$nJ zFO8ibKHC{$?HI;Punc;(J7MtdxZ!uK*@2<__Z2=pE!E#?$G0@2g9iM6NL^?Ty15;7 zGbF(%w14Dho%?pm%$Cf>S7t*9h8v3~RF43e|MzOi97Oi!z#VA@3_(vlONRmwzXJ@7 z%7BqU%486O!M6CwR@SE}>H`oMk=Z;|G0;GFmV;WS&HQEi&sV`V0VJ(25J%F)&rwh@ zA5j9JCs*iMzzS@jMKz@uvuFk}g1xAAmMxPoU2fVdts9S(@79&2o@1&<7-L z!O>(<_2nu00E$+EaQ~{a%8Uh$%Lnj65d@Hqc6scL7Ci8?Imtp9_ z!my0zmG*_D03roYq({?b^#M5_=n6F?hAR&0az!D>Kflq%8(-u^7CfRcwJW)CYxWlW<`QtZyyK=)O{-nyuj+s- z*D&Ahl*SA!b3)s~$!{o&TwZ9vkp6KF`h$Bwr^!W@2_dykY6d}KH*zQby7FB;THnN- zFLugdXe7kf$Vk(&>mO(+`r>~BdkBS`FH9spVN24gkYfph>jY+462!>7WIPXO31k_1 zgQ~;?3WT1A^#W{~(2~bdAahL0g_=B|S`OtSMaO`gp_(vg_LQbN0aR!B79FST>I`a_ z;dJ#ymM%g)0SLT%(UM2gLV3*e#O9YYmu*2{;SyLXW*oI{ z;iX0zzV^qSKp<_`NYAZ53*TgiNYo;2^L8IQ~_nP5=OW1y8){4TLt|wqqQ!B@>^CZkZJR$i~8;d!b^BjL4 zjwCNxyojv6ep5HZw%1%_@DX@KF$2&*vzQd3VYbqN9Yz8mc~rEoPlN8VLXzBZ6bfeh zlRlC?a)$~&mk|gWVz~hTn}Fp81vLN+uyd^$B4~_{oD8znB47ZP8XJLh7)uI#cn@F~ z!|;ihMsdzY$!u-OfVs!Ni>_IRHB`Mdvw^SWQ>T<1F1=l!OJH_|Wc zgWLq#``~Od{k~g3dd_A=J$VHnG;&@aB-%y7Z&`khSgHxWT=s$7TAU^24XmQ5_lTio!*_~~*ZFYj`X7Ta*2 z@Vk||uDT@99h!gKYKkqmohSFl+B``x9pm}u$@o|M<3kCdr_mLL~M#}=Q` zW3Jo!pK6OBT<8NxCN&0x$pqSW%0`D)j| z2N}JtR;oRkEQ1|9n0#sjk=n842+%sZBM9O2!R9i{z|sw*-5C*7rI@`vZUA_1gV?0Z z^w1Iq|LNBiabLQmfRJyk5Hvvl2?E=~V<2pQozbjZ8mx6f(%au+vgjDQ{grH{lVt?Q z1zsQq8<@9us4~OIL)-SJlAWYfkx6!U?Q*pMZjj{9dSqt#Pnv9|#dH=FNc;)AfECP% zDtu$wAo7`PP()>S6(ZtXw9E{+%4LY4dm$L$Px9i4wB}l?g><`02B>vI+^vJwB5RWg zFw`UwWUc%itj@N&B+|Pr8y1yEm_b)GDe*7RM6FG7nGxrybqD81Sd>YOv4aU%@n#3% zp4rWg>-Sn2dYF?~UB})jh;nh^oNp)^Es!a>YPXtjQ-3ftUAI142XKr&G7%6fZx4JTM%9aWfm>Xu@qli*FvDJfa zN!ZuS_sXw{!AEEj*#TW|Gm%H`33Ewd>8(xY_?wB1WtH?ccGe#D<~KZvFAKx_>&&q9 zcFZN)CTjS^r14@4i_I~NQiuGNQorG!uZgib)fy@YTv8+3n)HK%LBMBU6YXa)uR+Ij z+CXeX1|wK96WC(0_r!oEY6v>r5cUzBQT0}rMAD{0bwtlg`~e;3S63d=gg7iP>=AzM zZG3byE@w=X4W&*i{jV~pYu#SH5)Bc+UBSA9x>`cX31W!I=SY0^x_&SLPwP{1EBIix>HfR8sWJr zTL?V#{wO$w^l}4cE}2zz4ESsyi-W~0Bj=Law~BS(e8d1re#Uzd7Ou9#+PB)BWA3ts zu32la7CG7OC5L-QykB$$^g0@CY z81{~4hFbgs6{A1a?d7AGYU}s}Dr`;Aq?W11$I=)ag-mLmp9xq#fibFE&O|?reu*bE zQO%#oWkb}c3hlTfXE3GeIRF*87nteE;8V>_z;GHh$83|XV>-yxLxBOzt+~S#p}kZw zX0)@X0HHroh7BKZr1vDz18|b~BmvtjTaeSeye7L7=`?8&lbC1h4>2#M(u|%9#DeC? z`g^81RtojdL>5oH)k)xw+2+{SNjGc3ZK0Wog#?qqJ<9(jS&4BFM0c_)r~OX+AM*M!M9gEF$P$xYb*urMIYl+YK+^w&VP~BUOEmLFp;n)fE7{D=gNn&`z z&9z#mVKAMweY>}8U-ECNusus07QeDV=2%-tz)^#%Gu1F{?(oN9-|;x;4cLEV}2r zVU2S4%fH+H(~K_ocFt(0QxpKDMa8z@gQ6XtI!RXR+dqNNivwaDA}Dv{ z(_bzWcEPmbIq+1q20|*(X-2FsCYg*?_n*lrzFMl$Xd+WFIWT1p$%cm_8wp$>4P3Qv zKHyt!%>bcUUpA@O;n`#2iD_HKbROJ3SQT7ExTGw-?clgMicDfqb$*aw)G*TS*3aJa zP9z?(sRA_paMWYX75TS5QCNQ}&ZwLG#!474UHrkC=fDJkS4}_Btx)lgXNbi1PkH#+>mF$|&M^c3i{n zFMnGfS+wzf6nd8N7vD>thK6x z$QF5ju#;O*_{V-iy2h^%@x*{4Y{c)S9>vv!!rN_J;^<=7PFJ#&tHF zP2iyaup2Yg@eGbs4++1{0Cm*=>LANf7;EWy7+_+0Fn)}`h+Nk-z~&(5JOr29LcqcYmrFQh%{T<|8Z6UK=*8^_Ef?40TS1R zpnbj!8DDnHx19I36SzaW7ZE;Kk1TDRWNXolBdf)gkH=BZl`)F?d|mB#gza}#vT#FL z++ikR7$lc5svtY6@JAnfgxS=~Y)aDy^)f2c+>t<|_nCjNY`~(2_M?jZV^v7BfI>R! z34!9x3IBXMw1#hGgAYYm$GukQpkc$-B<}%OS@PzTzRees($V`!0U3Oq3Q8T7+5lEJ zNU#lH&m;bZXQ!MQS=N#Iq<>D~?l`eZMBECUliVV*M&*Beh#(`e2++0k=E!$*9}{fw@w!Ohe5nGr_e&hwg}|Y$oP*8dDtkbgNeWhTD|~p zGmK1aRZWsNjdOQ>Xo>F}$zO3~9?$b#XTpq=>i^y~8}Gc!(OJteTZB@$o8}Q&EDhLI zUL)j4Jxc^Ta!ZdnaW8aXi|`Q>Aqc&Hix$R?AUKZ7Y@oU#a;@i`A_44yRh00fn9av5 z8zNRIpM%|bNoi{l@_Mdld6Zhs^_q1{kLKE&*vt5+J@R!`us>$(A+k%m%EC1gZp9zq z9>#t{LsS4*v_RID1kb=iJ!h`e&3xNrW6wAfqU?~|*1^uT{)jLLFi$L`$!}7TmH${I z9Fu7Zb!=xS+^$y;)XPN)h&b}*7s2B{P6S)_znx6Pdy@Dsk-P>2{DXnq*oLKZ5pc{azr+s;5Tp>YAvya0%@Q+c8tNSUd&X-j9~I{!e}uFGA5d?BoNxWhTCiD!UPe1vMX4ob^D^ z60*KM3gFdmW=PP546~gxVrD`%qLWFWvOngMBmZm@?Ew!faTk6sq?}gt&PCFh2}y{) zt>z|mfblQp{>k1^qCXjID3V&`TmMHwBE<3j^&0=(N8ReSytdZ{d(H+b(Wa7xc*1`8 zUJ!{|kgud!$2QARX&T0K)e{`Fo;TEs1Nob27f!}2)}LJ^LF+i`d21%8*5v*=EkWA6CiH3dwLX<36j5hQB`_`hf)py-4irdcobefc)=-sV@|;^HWQWE@!` z6-0oG%Mt7gj!AW7#$?l^aHCQ+G*>oBva&w#7aR1E z4NBW37qc;2Z88i%x(=i$!hQQxXdM?}Ge^r4y)x=tD~@8X|F|j_6E63WieoU)fB0t? z{-0Nk3p6;oKUwu}j&xL_{2~eeKqRZel&c(-tYJHDy;GpBNv3h|W}IKcYs8%cB8Q_u ze!0Fvf1xAjwK37oMC;pI;To%YUb2mEljd!_;c%qxV|#-nvOwCX4w>hnCwod^aNLIBbHs$>HM8;ZWV%#H2%5>3uRO zG4gZRHh%bFTC7fK>Axm)&GWGb)e0-b$~;}oH6+Z1-|W=hGRHpQ9qZAuYoboj!CVe0 zaGo#(fOQ`5HyM~Ah8!T0J5zsSv!LdW7{MKHMp%nEEnWUTh0rld*bTrQ0ZB%!=_cS= zW*7WEbSem$Qt2F$qQKQ3fC_1wyW%nkR+2yCw5{*3OY17Wj)z-z8t(9 zOgM31l_vwCVLI3$qE`qPAkVR0VRf@uabD>+AGSz+69!WI$(C|7z+VC#y)Hs2(okyk zXHuB*6dJnsyR7G$ESK*!B_^xQAbu3d`;W>;sDUvw$PqrXRMJpLT_M!p1=CJy%W_;_ z8vV$>z7>9OPnB^;f>UW+ZdiVvzf(@(rs$kQ-0K zY`KK}!kn=a$aGMnM#s4ioWkI)CDfr3!1z!WVc+{+%H{r;JsyP4MZ>;twBi0(O=Ibi z7F*?tyOj8b8~*y|o#I`ogwA@I>`Gi16Yj(z?NAxmV3GJYKnA{!rHkZ-s0z;j0C@||D9hC$e2kkS*jgoOj9oqqu4d_jVszYUiU`Eo+|GM z(jd=EYKgEJMNnmC#u8OSQ-EcVQ%U#A{h6>45Wa*19eX=EOuJpe#NMJoGVUt;VdLY- z5Bfmx17CHUY9)6Xt_w+%@OlD_Y`t726H6R<#u~-j9>l$7)MwO-ZIa|fd|3NXy2LKvOa zdZ)}rC<8N{2t&tZR*ko=CKff<&H}fzuiuQg&0}>kpnuw}vK_l-Uq(682yj3U5ou^q-?=wML1kH>zOLq3 zWsjG!HmMziHH9H6t`|ar9siltiPQ52V2_8yfQnA?MT_@OzKTiec&BPD;Krhb9f5-e zM^vHQMKxIRkiBiX{{2hnoQZ{2D7r#H?^<@ic=%P98wqYtvey^s4=zEFF&ejLVCHr<;e}du#{ERJ9VC< zGk)bvq%_LNf@|8uW8KTv$JpiQ_m^j`WoG)TPVai-&oi}sgY9OHFJEOSSxt0o2B%OO zq#L;=CCLsF{-n?Xb$?fnrb+z3N2$yDUb200 zT0N>%`K+J+^*aWYGxQn5)P;E$KZAey?tY2?@^clAJpjAe^%GPkbVH);T;(qFGo9pm zhrzOY`%E%jI0b#qMtmRG|BO0(Wqa z%)g2G^>E9@3VfW!*d6^OHLn@-V_*PHDSgu5qF*<>;-ufJ)s9B87jV&LdA*tRy{HA2 zI6xy90ZM?qi<4={$R{M_W>kuY-DLbh2g55es?Ws?OOm&fy%$=aCvnpKdQNy(*&az% zJ>}_MhNlNct_uPAkm+5|+6k8Za5t8mSq!-Y)q>h*>h{boD5_=k|` zxe7|3B8P5fQ#VJ~e+ofRrEYU2*+z^0kC3_#PJc$jOBPhz?6j(q#m$@fnYQ}3oBlVo zcP8~~zG<3248_|cM(DzSgqEJ z$RQ!dF$@61Js^-c>P-tO`}j`NUE2owcA;gQDqOsGLYHR;6l;g>n~xhka7Hu*tvlhr*I67ZXT*OXPlV{zuLx%HA(=O)ERY%HGyG1oI(JqbLlN#4mAUI^jGK#D#XWvUbG)jy_~yjr?2+S&8U7I+kzRL^wzkv z=@cn5MhZ%6_`G{jdue0vze6+a?OdvpW&s2GzSxV#DKs-y2Fr*>RVIPoQ)~$Fh=0<$=CBb zN}ul3gd&m@#mX!jp1#nsRCAS_ImRB(6uEg={1Z$&P;mY5Utc~WD4m)LFWR7L$)jjr z6MK0ZCz#YXL2l=6ne)chNmYdc@sbB)dd0@XXZb}2Bt87sf3sjMTWB~%3i#^>h(J^U z?M1_{}N#IXVcH4E}Fb`m;DkcCYpAwygAGH z(pzp6{efT3YbES7*Y%4wOr77~rsEx0G8L7{^6Tc`vF(>|2WFSt7GTsEUtaCk_gs{G zpgfdSn*L}iMyX9rO)0vpzvM&Qh~3lA@7-<${L-x$PBnJavQvnOaiq9$cxX9W$!C90m1eWYJj4DeKW_F%tAaViDo^O1pVoa!1cI!n7n9nVuHposhKsvV?dsu2L znPZnfKh2?i??34#MK)&1R1=i?R@Vp8v2Ar_BMpnYQwXk0hbp`&ph?` z`2F>b)t74L`}_1cwi54kXjYM>c6U^V0PcRSXh$V}Yf3%F5K_HrB;VMBLNL~zcW%&* zHrr)|PW@YGK!5>STT{w9YxDojsm$iH9rOo$z+DU9yPxyz)f~1_!hz}*vrN1DKvlCkx$QKOp zQs$XI=i&G1$nX=0SRNuW5!p?G2mr*uy13&aW=6;a*h(P+@qrXHrc0c>afnNS1To;I znDA?Su~XDklO}}C7937PD@8~IZYdGRV~plyHc2SW1{LM=N(+XFS)q@&y<-c*_wJle zl)A&I$RIHlpSY74UH3yL+8mx-rlI>oIR6?yM)e+fv%H26x00X=<+TE z{gHI>rnD~uxs(`CPLJUFFDRs>DFv1n>io}?h6wvf-d(9)skB|1EWF42>XnB4;Bb`eMH#Gf*-)y8leKB8NQ zw4zH?q+olgut7G`(hsSYn%SImc#IC8ijtTFkevdE9LIY15j2FNJ1c}Dgm@esRzb%p zH=)YA#LX+w0v;?O5jAdy>?MWZoj?S?16~xw$d=dz2KoUbCq`rw0!W~*>mAtActVO8 z!5~+F9r06u*b6E)gik%Jj#T3zZZJ@N6r>Fgk(QX2P><>ph|6J-+%04uAhyUuV7A1b zu`v=P)U_>xUd*wAEzs1KSdIYk7vQ=lAHk&~b+^4$sDO=(eX1tP)&$}2kQ?8nlAD^V zmtq*UVdSBvES2b+DxZEv!|x;3IODCdm9by&CktaQMY5P`a=Ibam=x&^o@785ftY6V z3@kV%)gD2nASyPcpHpJusS+3APT`cw<9SZ`YN~D1Dv#&PyfJWffs+k5=-d~lX`$-C z_rNQURWAdlr#&ognC`hOti82T3!SgM;;imxf>@y<`xwDAC&W@>Vk{fOCGDUdY>AOe z6U7TK;os2Q$hp8R9k+bO;kYCWN{sV#l^9xJERXe&Bf* z%7zj_X;!$LiFzg>xknypLxHyfFgtneF~0bzE)9T!z*}T^grf23s3}Iyvn`3ed5GRG zb(Iu^3LP0u2bpZ3RYkkdA?TO@Ss_5rC896U6I)5Bo-No}9%6AztXqVdtrGvbh<~vq zMi=6f7~;A^E^Hx8Jdg5(4WFcFixRObB$d`J^o-DBm=SUDrMoxCex2hJ>QtGafvOFN z+3Ts~;O*mrT_8*ruVtAvxy( zN44W#=7GsY0|b)8^%_51ow$lizN5sZAZ~IVzsiUAvk_MpFwc2#xzT-B7p?$2_#|6y zGz%rShNf@9wb-aqBN}>JqaztRz-G&Jr=6psCyfx*J=$(8J>Z}fmyiCQOy!C^W0o+( zS%{*ot05jRQkV3rap_vzzUB->%n59GUd|l{2u|9A1W2X{5Rce7W^))!5w<507C=JA zQek6!^wlp{D+P%6I)<$n@tbti`zJdX#`e|0GL%x7e0&!i`gmU<_-b#XmgW^BZ}ryD z0M*o`0^dX>rSaU9naI<3d}1x~QcfCrKu9JpeN$_k(`VsPyYHbE#wWfS6VEFdm7SQI zQ+l%#K>2~Cdmv9y6P1O{fg)=pvo$n zWKNT=*$aDCxAa1oy9@0;B0~L>LT$WaS1!cccfm!8(55WZBoEeuIIJ zJJgh794OpphP~Fx0}6OM!{VFhRlzk33tdQuz7U}YVtZCdsAhpCnt8o3R{qM(Vxl=X z9O!PcwHl{po#i1*JoF46$940NE27~3Ez~g*avbP>!XDDN3ws8D@4P}U0SU8oJ>^u_ z70U26Uc}z5X1=z4=m0oeSbfPyH4g4@$lF)9G545`azsTf2LU8y~aB<-=G9OhXE>o^^gITC@{6@gVLZ!&-X1W+7 zkJC;ZHmoCBuQ<%S%c+*vWIoWMYOPWy@Ch=zSL-)l$enQV9aFECv5zQ_EFz)$DbQ(S z)C+#nc;XKF+ScvzTDU(SHI|5O7Q()_M89Cbc84HPNJI~S=w@@9`CX4lNNtkDAOP)7 zM7N00pSBWc}#gbHBh~%57 z%mE%#YRp6}8SN`V`!EFavCs^*#Vj3`&p??7k@JekT0n9HKv)WqqAhd>PwXaL{Du(u zlmgogB*n5NdPvBmF4PDGtV%(j6~I^m*x6mWEd{&^OrN8R4-3#|5<5s;1^H~r0>SJG zb#NAdtN@VIMB%-R>)t&070s5&mFil{Krcw%`ka!UYF?PB$zJKc1ofSHK}CeX^m2MZ z)H$*7d-a7GX-1%V-#dxq0aCw+A6;vHutpYKijb*wl1TiY%3`TXib4%UDfcj{UAN50 zw*!6LtH{-;Hmm5=@SRhZnaVm$Cva`=6Q8P{qO9q` zBMN+^OCpUS-pvrFcOh>GU@z#%-*BLt_u%a?>|Nc{rvp34wK7Co7qWx>klg{j*MRJS z0KOO@GzXp%jX2TnoYueMv7x91R^4|K%(`B!)1#R5Z9W`oyWk1He zA0_>#d!Iw2^7@ui_D{P{A>)7LOZE#P&OAu9Z@*_&{}>f;^HRB3)ppEmVJy+i%{rG+ zcq7fVrZY|XWXh>wxyQlx0?$K&PNeKv=R0SO59B|pJ^EbL?9af_c#@CpV3aI(lMP?m zT6xZgrxkPQSD;ZEmC3;wQ&c(P8&oanK3#yQ5{cqy5}^9ve|~j}?!!HN6rb0l7|zgTY@vIp&xI!i8ksf8Z%#1VlybC{G{0oRI9zZW(K;>ERG#A;by=yWPu&bC zK#rR;&2&qg^vo`jfqD*f_`H1`pJSxsU5Mq|dIa!UlWyTRRn`&sR9#{CJ&Sjvh@f%B zvi647LerY(9mmDi?pI!wUmdO}WK8-hgwGQ84=kb;i;rZrSf*G_S6^&%u1X&2)2-+@ z&_NkZ?{}5;3!r4I6qq{QYtm~|{J;vIsx@LRVeod@vGl#MtDSu`HPpo()(SOq*i&zt zb#4-@t>ClcnYiIGmVGrUt9l-BUgsd~!4JO5q&U&FNV%fB%E*i3rfrb>dRBG(oRDy9 zY+AKZH+Rk&_g%rgU@a=_gqpm3c=yKUAsvMy>&plY_d4~0$4w4)p88z*SWoC&E535? z-zO4q&$VX%ck#yIjRR*+{n9*qg!cK}vUYrB7o!^@zXMjoPywiYqCgD!<)7Q3F6m7W ziK0{Xx4jIkU)$*Qjy7cOSWK{PdwrAMuJUt9e}#2yZT%ndSg!n(M(nM@DH#)j2TX}M z)CRtwAu!aa{9j!X458Ix$f}Mm>k2mxYF`eMS8V}J5_OGYv&!`1nXDFNX!le-v!H^MxVg87bvv{s3uE<+)JtP?L6PT= zP*;j(6*E?{r(I|#HLgTjoO~_s>p5U2>uet)Chbz>%|Rc0U?J9dtV6hMlzEFYChyro zYPC+q8RnRe_h@r(uu@MIo0h2=M;~BfW^i}U({(;r&beIK1id=Y*l)PpDL8ELM92e{ z&spPU%%2Y94HUedoqo{3TGnl|E>g3`UVK-U2y@!!9Nj8$*16!bQHc9`oY8M5TuaYv zYLnZ!Z?;tN_3w+S+PpXyLbsim*o3X1So&G|D9`fSKei$jYY$tA!=)c(^nzj7YV^^x zoxuoHz=2ozi^oDsadJ21b2Wlr+m4qjp6FPw-BSz_uTv}AY?f0Es7{vF=y7Y8X#cxs z5^=vvFQ*`HxFb`BHq;%SQ&`m)Wtng)t5_}Mpl-3c=f9K9h1CyAuu&SRIytV#vWFtH z77J;Sr3u`EUrzL0rm~D{^l~=L?V%{_g8PZlunvzUUem&nx`OZ;o3x}2*?X6}VWs~6 z>#@a#=0;?aTp+4?YR75w#ZRXKV}DySNu6$@dk;Q$#GAJ{O}NKuXMAgVXk`>`m~j0k z`jpA$fWCRM^k@Bnl(~?l!LKf{A9^AV_jufXI~=Vd`~Hv5^b6Tfj`s4I$i?I9zy3Y3 zvz(zQOMOG-rav^wN&Ta0T&*;12l=$j#>tFIz^3i?p2Ez2`<#!c-?TOTO^5Q5Xp+U# z*=n=Z1!=je%-(u+FMfe(E~n&RzCgwbM?F{d+T`+Dtn@*b`Lbb-x~_;NT^ehvP?J-Q zr;o`#7tJk?Eub~Z8_-%S@M!^h~|QE?8#=Q+|ZEM|W9}>+StXa-?hQ zgU)qurp3hGGxhfJzLfn(bJPr5y6XFR($$#~6yI0T;eAF%RngHC2g>VZ8+K&GZms6; zRp_rrcP*H9oC~u9ZxUZPDU-S^jyDlyx}Qo+IW z`C7Xw>cL`0DJ4%{ZdfR`H$1%&K`qR=6$UqH$as19AUe3dBfoVbKvkC0gmc*=XBt`e zF8Sj6g7K6}yU@8o>fAGXJxXbzvv(P~EOE*-LGDUy`IrLrrsD^Z+797Jn=52k!8i0! zL0Ni5*#6RPZe{8h<<}K$T_2rG`kp!K|Bo|aar@t5*|^ZECDdoi4XilDShx0gh@-3Y zNi-gO<9y1*jLgF6JqBC&g}4Z5jd4t_Hhj_V>w=~cc=&@BnDF-x{`I>2V)tAN4db2k z_m_Tkh?20Wqe!f{!^01xDVHyM{!DZ2mK>rA+@k9J09TUzRS9)e=pCi!?q`;hYIubZ zOYMSQ^pPML3oZZ+Mj>jd12`UgSm^zwnT62`_d}J>mma}uT(fk^J_%_QXHqzg-SC)4 zpB6QBe$BK7ySzKp>0Pc+xvoIphuaf?9c;Cnm9M-q8uW2D5x%3vMAv(UaozEY;Z2!k z=NWc;%&?qK8~Nvb(@PIg2NzA&Oe(IOL?`Qv&3@WU+y7?GEi%S=O591x^h49V9$9kB3mVyR}1sG zYUOl4>769kO>J}Plhgd;fsVMU2_lO*$$lJ;J@(%WM(jMLh`Ut2(0GJINp4Ah{B1^m z!6UNrLd`3*qveg$QoZ|duNY7E(HuaAJtc&|_ zw^BQ&zV^zaH;XqNKChb2-q1RFGwoG_y@bgdgiCaF>J=8&uOh)s=FvpB{bGSh^(CjL zZs;e{5eG|p3twvo5}jgHE?T5a&B^29yjz`)YnUk<)JdB;g#W!_e8?rNBIvq?Lt*gU z5?2-F+DA3fwPhA!$4{eMqDSgz%nDoIEt$Jqy`3QAw-W{4J;$1z|0=SN{myGBNNadq zi4aYeUiQD`SWp(y*#>fsjdW{(B*p68Kq_c9rNQjSmst+lt8m*weG88{pF`eZIThMA zSGUUWtNvkV>1Khwgq2_4vWk~qSeB#2HDT0CuF0hy2{aU&Ej))*ALZG}$UmAe_X!Rw zCY9!7FFL6?oRm~gYEG?kF7Nf0_728H$XU&j)E9y+uCgy2&Uu{UV>Ss<;kv4K=lghN z+3paRMuA+@qlN^?_nbS-T0ZV!t7tWRd`LDP;YhkXVLfIwHdX4A*h?@N@F(A^(!rX! z-*iX)K86MP z>th$yhF7v~l!~0_kb}*|Usr>E??APiiom&-{VX0&KGM=@_Hn?!P<%@W^ZX0)K;zMm z?bnORvp&S?flJ;9fZ-@ z<4=7z;?8L5rAQ*dl( z=FBcSs`peb!bQ*6J$Yv^FUX$Y4tZey+#ggP;6F<@v`DM?n{I2UW+~1zn54RBC2IK% zf@kS1Jvhbj%*#JYX_93a(ocA#J0;g%`Fd$-^@ieMM4(Vu);l;rG0&85Sf&J#zd38h(6;pwukU_xs|#?j7UP{yB?jIOTQDAcdV9WvNO zJxAa7ILTy*rUv9(Xznp#vkO%{VMPTVTp8k9N2fS)zJ?l;IJo?f=*@>|+Kb8F%!H~P zvYQTh9GP*A%sHh3Dl!h9lF+1AzF%&x`L=73i{NRF#|7(yjPYog8^b z%pplFi4?tmFBFuL9jiFUm!7_hy@ASmlhAj?Y3$lbZMc~3+0WdQ_onu<-Q3kqa45g_ zXQ4L(b|2T$hVv*iLi$jd^FZo=bv;_?4Jjaxk&U-@-`2I~cyQ_8;FTBG@#1TI*k3YD zxx={Wx-2|#}6;oBI$cEg8X``^K-H6mHC5smZg`q0Bs zmT9l9_*j3%#ls0WnM)fFh$12~6eT9t4NMwWdfjph)U_0<{mkisP|9B7tU^CqtYk2 z8t{geo##zx1H~L4t-@Sn|Mm0l^54MlxFWA7pH=MprW~Cb8k+iO1U;;)+Y^fV;QLp) zo=ruT|3$Z$n9o8I2gt_@BmN`IXfQdT59tvI{;Km+bi z>Q%K zTfkz+Ygx^xzlqjMx2|dE;XPF^fT- zYvQ0rx`$Qg^J9kZi6N7lG|XaoP))XFah1IG zPNZ{Grv3&F+?wy85$^?Ccao_t`>#nz82wwU{yQJUazvj7M!FYX7+IZee+!=a$E z(k|X@iZ!?8`_r-OmJXUHLMeEA6KP9rRmT91fjS~k?puVN;tENDTgkFl?P;s~tQ5?4 zpS^KulZ-jB<}4au5iTfSy$w8AK17(k0Fr&xVpja^+T&c!ygy-XHcF-ns*RNi^a*0W zh4W>nHI(YVk!BaRw=7)5SRG?`OCb%-Cw<3j(z|IAH<%aRq$Y-C4>a=$8M%Cn7W0wR8em!m|(eggG6&5G38o|;_pG@Z_ zvj3@ayZTgqjl_pb30^)s9;|lm4CdP6RzPVHqx*Go7ilzxVXok!lP1@%dvqspkuK>x zy=$CvuIyo4o(_6{YQMm5l$dtm=AkrMx&LB`-j1nge*P?&wJD@K43Kk5Q)be%#(a;e z;7tkPX11Fl9{ygLa*oT34#ZD*7U;Mq6D_|8@nRweFa~_~u{P3v{eIUWhEI5le<1$Y z(;IvD%1ZQ!D-1G8u8aC7?G?2Xl}1QPd`hCQ+eVIqoT4aEzbQ=aBq@H9cDc(wR@h5Y z6Q1gS<5Vg<@W$|L2h~PsduDY_0c5PuhxI8XS>41Pc<8A(mM766batmhb8OX3$iNxEiEmziLdDW?i=tA0PLkx_}w2yp)fMQ3MA4@lW}GCPd-L;sR@;zd(; zEY@HN>~l40pPO01(6++oE@T}$=?YW%<4cOR(0hH``%h^=WBLKjJUy^6>m^Tj1GDcl z;PyaFX-a6LA1=F=szp|j^z$C_wlRQe|=O`3(x;^9Qr5En*g8Wc@^WdL&}5x zaftJ#!%oO%Jl{gc&S-NzFco4HX0DrFf&cp*TwY%`>)IMo4NyGn=&IWP*8`R0Gmrhw zJ=RY=?y`R!H6jeKSHY&)Tb><2e%_@ggNxSdAwNnLSJ#}_*?E<41#N+IZ8;LSUZE~d z5p28N+|onZx?b{%c+O>O=@`()N0(dF%pps4pFcmy_^8jEija!1y<8_c0-Q z3geOmmsIAsj}B=3Shh=H*$2IhmRFBWU(piEYB*TLe{M#-H06@PAwHoRbIwroE3Jr^ zG9+*-Mm}c*W_pm|z^^2)q{Ra}<+9@>xLy?W1XSm|bbc&`66+)xo*UkVbqWZ-wAprQ zrpG|%B!eUg<{B`;b6Q{Vl_K`d8OK-N@cK=4Gb8Wx<{*QdpuIojz)^_%(;z9c)3Sz3;D)!>$fJq1`flhZH!tFBP7Nc-3`iMz!)Kn zkd~CuDT09vMt6^Nq=3Me77&$gX%!HamQY_1v6Yv9;r#HN=Q`KtzHh4$y*Nde{Ea|; zC9YdukC;n>e;Jvu4P8zZmrt$1`^<+O0kl#_K$8oC{~~33r{v#$$=s}xomHT+ZECQ$ z37X#!s3pnGg=-GVR%U#}4c&AiI>8LQ=xa zA5LkihpjKVhzWUB=3(rbp?>C-7hg)qG^cI-ri|xNYcJlSS<^p)PWfxT^6zLaHui&5dH8U^iUUc8E>IfqU>6b8f&n&9(D zTQcPGXDoYqr-xLXM<)yalgHjtA*}Hfq?9o0G#yjH0^u#a`P7!cC|NtCfb(GlDnb$k zU*KF)yt3>eyBrtN;wZa2zfwdjZf?Umq;vd!zBB)9RJ|{1?c}ho(<*E0~(J|KWs^FH}pVa zO}R>^C*54FdPiyTb4RK%=hv1TH+jluvI`zAEp)eiUxCf5s+v?<3v{TD`%l{Es4m!1 z?lvaqzli1oS;rak1iC@=ZU|gO^EVGyNblK--VkcU%FD5som2zTBkZI&nJF4VLs)@^ z4NaB3)GbA}*Ywv|lWs4OId$(Qmcj{@Dl>@jYrrDFGC24^^8S!}49lX<-+MAw+*HmD_8pRka%tlM<(Vc7NoG?tM z`R%P}qZyHpwYN~`FV*t+ZmGV2$2{&=$tZfZ=RfeOjWCF@k4NliTkV)jR5N!dbY-a) zEQ_!{%ebpH6}@!RgV))MLSLbdU0~j5g&eYIrxrZV_XceFntlRw^^ymsTUl*ZQ#zUj zjamg3lsG;cUmD~g4A(F=ar(U11Dj{RuCTQU=VJ{X^}JH3u-gHN#$6c>V`V>;nG3t@ zWFiNOdmzbaTND+f2{P@m5uRI=pNA-T+6hnTPoEVra>a48??g!NvJD^e*4-=<`~vm( zvGS>!_0$bw`0)zSI+GuUF8U&>H1x*F2lbq74BBok!s})oUd;5HDyPV8Vay%*tTpnL zq^mjt_bn~>T+uSTk`z`6HqARG7Moguxb;U`D4P55nq z%Yy)(!Q|!Z)*YKiB9#pgiv`QxgGrGySAT)1oX3Dty%pl`P|@zNYu>g6D!Q!;sdF8W z-A&>4=ErYxIpS33ArIaC2KEbikYw9(`BqGkmn&# zj|bVR?B|Y6=#!1cdVulf4kUL#W^tKK`dEadpLIR&ElQbOH^3=u!__Fgjto>uDG^64a?RY-m)V4} zpW7Io2wa!PioC{*07m!kwk3q}knk5pb_ZVVC?;y=!Mu~6Mdw&AcRF?E>tjA#wZ&n; z(!N=QH7UG9l%H~}`;5*iJyl5xz{HG94uba~SQ~V3EIDAUI0jZ%oDWmJj2en~(d?7U zEy+PIQ)9h{YD$!4gKyf1O5XsR85K&phfgo?sY$A7GCT%Nb;A8C8bb03Or<`#L|*r< z0COqmlPRnTKn|nfT+_JnWo*Rhv3pM)pP~|*&40d63u`CDC1vYy z+h1kspk+DvJC4;J8BJj+x{cXg0Z0p|>?%gCFEPZ}xJcw7Uc}d2v!sWr(01-^c%~}d z-M8A;?cvrYeN8Fykq0`Z1D;gwz;{!;v`2b0pG)QjK?A8$m)cBPx-kllxF+PQ%G_d- z7wqyVLhQHJS=YW@O|@sTg?(vwZNRDraq5pM;p|h#!;v*`G-3X~a!NZh-W0;5J?g(nGp6aV`x*` zEz48n-)srVOhr(NGy9Tc^jmlV%-|YPZ%(PP;T;{BiD5mUM(!Y4>UOd*H-CPvaH^0; z2;9ACe+-BqYF4)^2WgT~s#oI@1nfoWK{Y0ORvsBuUTw+=KE#87bEtS>=op`886OyC zqH*FcRISkv&L?*J$h6RzMkkfhgdeQsU#0>%crf-24K4cC*?uK@3<+^9rIGH{W@_kF z!&cQ-6OS6h@>jeS9MGY*AhYB(WdVBu5psss+3m!Pa&+_!9+Sf8qgmC9I4bYTx8Ya( z(q3uVsq)Q(OhxFvsR$=;Qim0zb$-9ckg*WgINVxk>c2|R;AGH~&k6`H-u8ESbE)B9 zw3EgmJdPp*KPHCdwf603H9CI<{>ke(?f8r7e%09dGR`caWGMpLG_2M@b?sP+2xB8M z$F_K7pjF8lGwqXwzMi-qKL00*{MN!-Z39f#*u7k&q?KmR^LbcrEB4lrWuPL$3)Mj) z4L<)uNy%%i3HjbyTMcu{L%j*8FeBo&d7(h>E(B4L!z4F!IAfUdj4|)%;oC%|svyO^ zL70j$)}*RvM!>wQ2<0(YoBF?X?Ph*#NeFYkcNq3ahLjWMHDMR&i!!luRfuFZUaZPI)X|O;3BnoL`*STh zCW=+O95dpYNn~_QYz1hJ2%G)p%=V(za5PT~E2iZ__;&`sULdj7kMOv!v}!d7gMj2d zUJ4yr>|=u#kiakDCo1bg;75UFt$8wkzCegf=%D6d0`2w!D~5Lv^PmAFO`A{CBgdzw zhBG^v)e4R~7|3k!F-u~6dLPO#z+xZ;wU$h&HmkM41iiQI0gst&KUFE2;#}Gyzcel( zjvzS-^d%M{tkAFCx1MxVK`YL<7dXd&=Dc$;YXes@Whv0(27uhN1vZAoIz~8@JunC@ z0M-QGKxdFUKwIU^bY@@4==>RptzB<$XcFnrNrO&wse+ zb6KoXQWPTw`Gm*fJo!?+FhgnUA4RQ(DwmO7;z@WM*}#kI_SyhNOm0^xKo4HL!fdFT zfr37HV%BoJJn}e)kYDo)0VmNVJh1tU4saXpm?BB}+-1MM5n=?zjca06XOZtWZDdM0 zS$#Ogl_J;5kZFC7eeX8P`6=qR(PPc>If*3CsX-^kn4Hpz+{;r zZx7iZ{)iWT2d3*CoU9m#cK6#7KDYx9t^Az~?86fCqPZ4?=h}0WvaOoC7EdZNHWCKM z!sHY2*6dgOPelp~Al{cyi#ei%p^7uJ1Pub$ON~e?vKgl)kD`U&^COi#DG>hB_Kk5r zZd?IqTfj`g$o@R8zWO62pwz~|^d%isZ6wu7!zxvVz*pP?1xqEU#Bs~V_XzyK1wSzv zQc-Zvhf}9+-(1e$e%7XL`E?IHHziOTX)xAOk&sOxkioMwJ1C}dC?aP>ZW%n4X)|VK z<+X%<#A}UM2cQDak7m5TPH@~2 zrbX(!J}y6dPSfTbwaOWs@ z*PZ4!*v6Un5l-jl^1mskPc`|$2a&IU#4Ca>@ij}?DTlw_aFsXxU?lN_;Mzac2ILYL z=V-QOQ|^ovb_f;A=w+*t+(JEFjRr%uM~CUzHd>C=*Wc2;rv0!}*KMYUHCd+df^6~s zajROk3lE;7A7u2l)VcA5GkJ?ncWM_lGIFCd8EnlQC$FyY233Q)QT4XmM6V`4jxEa} zjZumkQ0uXpzC+qhfwG)uG8EW4RF+^MXO?5iIkg_{=gi;9f!v?lGs!Y=(Jt3|-w&@R z&yfPjmnz+nMjAB${G}09X`I{Kz|(~=llo~c-(O377trVx8~qPWBoPIFWO`KH{Grj) zBb)fWf~q&|^<2Wfhh2CrR(%6OHK4mx{FB1m%Q-3bA~HQ8%xK_n(%0c3ZN0M#%4OMRh#VF>^o*c zg2_<2IF1Q-fOBi24WQ+VlFHW*rC>=8>DaQsh4{z=8YrS^>$sTLq{!J3!xpFVhVJ>Y zXztEH4x5>X)iBowx8#3sW`Z6Q^|Yo+3bU`<<&g@vtX6f4?{shTs7$@;*!Cxm zqJob%^8+EZQxR`KuvkXbW7yMyf`K@I=Ss%^k~5yX>D)U>%&gXGI)(O|W}YZB$=}KT z#o570W86%xl>*9o5zzNjG|8G-LYtZg7Yfxz;lGdSfU%ip$?ODb^TWf`V9w?cLdMVP z4qGTv!ZZ0I!z9g_M$FFOPrGy{p$fozHzP!V&@k7K<{4EA1zS6 zFsN%Q&3={1c%^2VO7TzxsQm&Zrt3Uk5tW%rh%yBnSvC4jFqIKln-mfizh-(3WuSlP zTq!Ad7xEbJhV71%80JU*+Ha5p9#*a=d1WTSN3RsNk%lKqc4?9G@eC3ZsP+_!Br#Pv zHbEts(qP6=xc^_RTcP(rsy#mLe;O>n%}!sN3^i&Kl-%ht&nt=@6-hy#!aDwOCZ45@ z+TWJKwkEo3Wc-+K`p1gg$BZSVCjU#L2Cix*v{lgOySf@ z0)Ro#j#}Vx0wLW=_1k8D2ZUHT#zT*o?kYYl;%CMRGkGQ_RFcZ8vKc3p=bomB5gHn+ zQWI3}COX9?z@oZeC<07081gm9k4@m~(-t@ig@k8dk>$@zW?VmI%v+hqrBj5DAc$j7 zGaUd)d!$!(X} zdOP-ov;J-&_#$IsglO$T+Tqd4`Bd@mC*f!vkKZ zy{(Ax;B1cWfVQPH#C{b`2L#)CbcK9d8Rq> z!IT&9Bc}W?JOkcssiF&rdW~{1Z zKc+h3)I%@=Rk3MRA&SP53i=0<8cn({#Rz#+Ms1U7Rbg^o57RS`{?5LO^vtq~2H@%j z2&z|Vl1?FIPm!`m{(_%1;>o{e*m>R-&X#2+H*iFR6hjY$8bd2@MkhlCIZr(elS75S z<&8cZs=n;mQM_b`Nyv^a9vdNMw9;jr7p9pw;LzitD@jaQx*c_|;y8tfd=Uy`-;=YC zwTdFX_4GEO%`W7V0typPNc_t4Yg;Q^5=_%1vLp3Hjm#*QJpWX`UQVs-~Tuz<>w6U z?$5*vFvxgAnmAcj6J|SwN|U0MDK)}g=s{-4sa^JB?r+x~;4Ss70IF0Rf@a&PS9S6D z4x=XZXM+%?c`Ac8E*f!mA^b{{f@Y&OVfMJjb@@xmI%?FyCLoXhs%CNuZ_)v0k$X#u zn?;;L0!fSd1fIwVq-_W@or8s$42AUoX6UvRuw~|DTGc0$Jh+lY-Uj{5;VKcf=A;jSJTP`kauQvI>M@+zzCW(a z5zvILLa^H6??YzHO@5EMuTy)Jb3X&*kz3d@l0CXj&L^gI4e*EM0yA0m1^)&gD#JRO1d;Ql-ThItRR5oQn`ll9GrOF;H z+sT9Fl*v2ylX$*rj^xkxT+s1IO_3HDG;{9GR=nzuZZk@pss?#@SJW8v z$WC$ym!5cTW*I+Hj&NSEGsJnsYpY>W886*w@R>+3*Fd8;vi9ri)RMPP7qT$x^^n^Z85_ z>)L~jC-)$t2&>g(OLj=f;pYC%8I$)n-S=lNg(7g^fcKQC5arLBV^MQiq?Ln)|Wse@5Wnv5$l68y9jC8rd#)J3cBLkfs5ga1L$UVu(nw zMkS(HmGES10;`^{Q&{D!S7_U-Xagt%xIQkc2jTuy4=xm*Uq+DXARuUF1#mo5E>MV; zY;x{T$71Prag(QdyD=#vVSB?iS2X~zC>;|_EgGC*SAqWD{fUyCT-5PoLmuOtF+bIaV0_(xS-Y+iqwUs%a_yNb7Sz9VL`HY6 zy*Q2`fG>-{K+Pwqj0z?9sAOpj84CW-1M}WUdN(|@xDkd8g^#Owhg^+eWDZs_O>>A# zE{<$s3q!FJTf8CB5`U93(%Y`}Bw{5+j>9EO(hj}T^u96}nH>PLgLw0eO)Q&_1*)hD zFWbUs`fr}CFy-3398CWHHoE__DUr%yzszAA3*ZEl@9d3;x!ToDU6R?7&&$Av{nKJznqHCRx{n}VC6 zs92Io3lKZdBS_3==I5qt0fU9#e?)(ouzyGKyA(#VxtmSICz;bRSt>9~ zz1S|A^=zl3U#>sM`ur6!;mg4HF68R+;<^yTH)C#uYRi#-aP(6x3OHVpeJv^h>Xy`# z_4_66eNWSZZDbR~;|0he#M18A@|!q+rQXI@320?VAVuXt!$nd2>+WV}&9F+`*VUVC zobXNWr=@(CUmh?1?QKt1FdN8xdQe(Q>aNDa$2xF>+1(B)p>=ex&O7!SRkyzTW>f6Q zX}t=Fj+zSPH<|a&#p2MfRQ=v~HOA@au>1o9S~F0IyG*?A(0 zkQ#0AGKe3`S4t0Da}Fn^f#jUuhuEG(299EK#1?e4?6z!Ej7c#o!k!{^_RumA3YGK|Q$vaY}4uiXj_XSDgyC_#~DI zcG5X#W|PXx?FCIaHh0ciqH~F@C2DN&de`R}GEO&elf`(+!oL-J0oF|@Ws}j7myBh~ zmLrOMNn0~~aLm&(zTbAES_i(=FiH2}i#01^&Zeix@J>k+Tr%uaQZDW{vh&m8nv%JK zyCq_*DU=mdFYAK?``7CY$>!9%>mw`n!-kaGo7&7Ye|9myk=AyOITaQxUXf0j``aH!Rh&6#fhCY%isncd1chyMz3`Wxf?Y^>J z%~yHp%)9$D*+$>j7J$TK!3~yKoPKr=0fKf2hp=LOqC*+VyxZ)ni_pRuO7NaSo-Lb%3ItYv$o#itZ1ELLcU2 zPw~l4iKd|DWb%-=X77D3?{5l8N{KlqT+n+k7CZV(l#kh$8RRcni8OFS8Eq`Vx5hmV z84%K55-7&p!+I|hH}nP6Q18YlJuQA~2qcLjSIa^i+#4JC$h|o@X>*%8cMB^;usBeG ze)KjqK$H^;yy?jav|nqVFnIk(%Zi`pQ(r_2xn2_L)UqeFgQ<(OHblI&Cof&s>Q%L| zbUU%pr^TjrEfYyzh}Q_o6h>bg5nPU)^6c5><h&FvpYt~~$3*x*vmr__JyAA4jX^%Fw&}MlqjSPFYUC3JZA$7n0cg&v+GA8A7P833i5lT|I9$-2 zQR5P2GP!nRDDM#jX1HG9%VZ*BxX`2r(q^lZdLU(DV)iAuiS9Gv@(Jkbgg#=dSWe8Q zN58gRzt@;;G_1gY!QmY<@3r#Lw8|-?dIj%7HFuP}u2u<~;A!L9*{4L&=$aDV4)nkb zn^=vOBMwb0R?GJ|=e<=u8=Xj2_s})g-P^wU&26}UStaDkZ}I~!+D7y74$XmUivk|P z0^a>G(%}eaZf^<~#BloX)vsr9wTJ79rH|`u3?Tnlbff`u-Qqv^v7`Gwl$p04XL_M-8|034rzm9rX3p`gizkdEh?epuHt z-icwp2y-e;7cbl33(KYwB)hD|JQLVe4@5X0=X&Ao4Yj2X36%p|xyBdIX&6(#qbjy0YRVOoY@#}e>nd)rwR)=W2<&Z;^g!88O;ksJx37QPQ#r zsUF2dk#u(<2J2HfHf4@p$XZjZp^T7y`wsPb;(*OF#;!h_BGeG<$h8Fn;rwSQk4dCSy zl$?HE`HOZ_;aiV}&?DZm;+@JAiPmgT87G^B-c}rHV1tkNd+=54vF?SdF`PKS45{^C zqh&9-{%SW7@oXb?*XzSPL`qQh42hapmWul0I{U92JbZ6TU+eIxC8o1I=a78qC3S9% za`~B18(e+BFK^3}YJ)~udw%0?nCI3JZLv=Lbzyl>N92|51da}P8gUma1Sx|1w{MOGjeM#hitB-i6wyp$ z`^L4Yi9E?EoTjm4muw1aS~c&rkOG2Y5U|ecc5^H6bII37;zk++!p)_}CX@f_T4k@VXt8@`lFb zqQ|@|V|WQ<(oPRDz6)Y+;3`4Q9xTvr#`0gS2W?ovh00TSGelAqXPsmawlqo?*J3|k zN(sEm?kv+)0|zz45ggu#vN;nrcpckPueXA;ib3Lg>}dxHnI8?IE(`###fFcg7@=fM z2ZN?w0pEtjvA}h$d(ON8-1m8ten*>5{=ME)FM!#J^{+HNYaQ?CXFlIGmJ2cd9sr1x zVF2Zu)|C&Sny^ZOrX+}9TXLcz%G4}d{~e|1flHDy*z z31sG|(~MtnndhMxFy{!~KiYy zvW%juLkc0x8aCwB4Mr2^6m`n7z5?#-3?Jh%VoWo?u45(4Ik5L>L7 zEX0mH%(i$4XApkjYWWd_q#LbvCgX+11Xe2r4s7B-!A;Uj_cq_0l7(RA71x)ST{zz-Bo132ZUOzK47WJXzQt*Xw>JSRouM*st;~h2zL)!2|9Y7(k!@c5K zSA{Y(8^{<_y4VS>3t(?4)>q3PAcnbm+gx{wVRK!W#H8!nI={T{Vo01H6zdn+q~Z)A z>pYd@>{g%JbP)??;(mI<0oAs}o-wD!-CJS7KJlUGFItOUq7b}FOfyp)!2D=`a80Ln z$NT}dV%&x6jl&oIGfhSZ$H9V?0yD@t$Ft5ntx9Hwgc+m&EK6=YxRbjlc3S2F2<U)NA;vb*NBE{CHQBj6;|R>wL)loal#`*Tyc?ND-l26Wam>HxafNsDh3y$4N!)N? zp5j+PDCxDH&G-%c1V~T6Ru`!|WL&qJcgJjK0H2*;<5)Ba_=|e29O4U;kuX&tM?@M( zTGoqKGKiNAll#RbQS;wbv50v=b6LVIi$PO38@EV~cYyncf<{AoSEqDFL*3Cm2gazM z#TrUv{@RDlmkn)zOnY>ryE;Pzl{XH@xQ>Jbn+RSa+S}Rf9 zC5os)YG@rv_#&5JtZpXa%Z!8v@P#{9_xG>9Dl>*<#|c9if=n8NHOaMmtzwHbnncf3;`qvIx_e;niY-9p%#gPjG9-d;$Q*sP)1YIr4hq2 zM0(SsuC>mp)O{hgqcBmx&((z-=u9uOoNZdtijgPTSxuA0C)**47p8JMDcoj8ZYJr3 zT`VAW=2zwPaMYNNhW==7tk}MpKh-f}rsP-6^!K}SZ5wf#yAukiRl31B6@lqn#}K%U z7i~0dUGY#wXZQtfXu!rgUz;++?t5}Sl9&Y&sQikx8O zOpidtb!VK9JWS^5wIw{z(N_eAes26nOf-1P~NAw+4&j&eOQDo4|-=69kEAp2LzY_&bY;*KC+T* zlrWGud17IRK$;r2gF4U+xVMp`ru1t}pO(UWlRaKJ+w|`IxLkg`l%UM&NnP04|M+Nj z+`P?Uh5+UUI=Ngv<+e2Sj~V#-5+lp86{8XJC_G%)vez0ewxqt!*iugcrdL&`x2naS_2V+XXb1q96Po_k*X7F4rMo%9IQAc6k&bFf3VS1^N-#k%6n$vrQG0;~3`I z<(!oUGVN0tc?BQoz40RKrHb29pv4&mmP1dbY+}f+jX@-wwnv6$X0$sq_f4-__7Szj zuco}H%w#s4%X^1RkM&=CKLn?rujgKtY;e87r=DW;L&w_xq)I*^EtoX^mzwB!bjdPF zJv@1}2s+)iVfy!HuIg+_|9sj@&7{W>N$cb5A}M*mB8KW|Ru9XQ8faWzRQAxW&X`=TuQf^Zk&*a(}`*NBhe96#g!?_sD(w z97=66LuG5_FvJ?^QU2kzx(BnpmG5hh`1sp5g4|?^?ejK{UR`DQ1?vM8HB$(o_e$)MFX`H4G#z zr(M5U+_@7_w;<;Cb}wRZ=!H%pWqe#IHeQzM?y^4mXf#eyVbFZ%+;H1HLOpg|JtW^N zYQ!a7|ITO4cLzNNSA}flDB$qd+!-Ol5z*BDEr`m#zyAgFK!CwAJ8~`G)gHKbf0N$= z${yQ2x$1|a3EdO`P_GrGRlEWLXtVK1j^IG{JJuAM_8R#=gbMet48tr^M_v$tj=eXc-&TuEXCr zn($ZBe0EBj!%^8}rP+{(|y?;K#XT0gRrV}a+)x@LC$}~;` zs=0`P^HzQa-ZrIbc59Z7ZTeJ&M(Z~#qD(C`8qwl`YX{)vGQ!D>T4v}!J=GOX7+;gR z`HJ81iP>6rajFGhfk)jxfKm7^cte_OPH!Qw9}J2VcNLTl{fN+3v9asqGP>B68fOt` z(Gm711pyBil4CyhFba-m5r^gIwM!2?lFTo)nD^N$N=?mY=&RdO-_;ji!$0kFZd8bv zYx58cdU;rnm`h;gc;@muq|yCNML6NWu{7L{@WPz6-AUa)uE{nhtCb%X?Dy$b{G}@~ z>cqGGT#Q9hkS`oXXwIF~s+vLuD}*m*IquVm9=7 z<_>6hKdoRi-<2A$^aZ90~g?F%@$A$L;IuHPJ#C^BF2?Xcaj;i&${ zr^kAX!x^n_>|MHAhh6E}lqNID8Q`aOmV2qouKbY49?S;A9pggLqxKWoY=PbLZl_({ zZ=7G$sau!tn& zzQZxaQ|Yenn5!qiCfa)0LentK+W&G!*0`%>A22^9{U_SZIWf9(u>(%YhfvN9RN*EC~+^>h@YWrmBy&c5`PoBWmHQa>x+Ax5gy>Ba5+d_G> zPJAY8v#D!Ji*kLE*TWWIJPCBp^i)%y0&3w0cgLEXmQ`oQ4sT*e;%^7)){D+~v#cNkCR` z<(S8M!sHmn?|)Q!etWaYP#5MHpD&!^-KuW|Bfy7|`DvyZ2nlDlevY&{0`QK3G zTQGSfE3IJoQFyh<#hYEN9n0_;m((X>C!=ow zw=90z?=0rpzHB2ormz0VxmLqrur|7en5gfbP*~ytAg3E$cJAEJvvmS;L?_eG_U8IC zIN%GJ$im;Yn@H(a!#qY&aZdB$_}E9hcupddr==G;Al7M)Sfh*xq*N%R&?X~K(9ju9 z6Nrd4R7!>E_QKKSw{)XMM7rAKnvakM1rYr9#Iu`fs1yOuH6=CrRAyN=80~mtI(Ht+ zp_=RqX39B-c>jPPCcMnO{g*&{`OL6-GUF3VGNUpuGsrR_xcC5lJ#~=Uj)@1Qd9ccj zUcl$~40*p74?6M|NP7Na31i50cKkZ@^ut%K@V-+i%uR{X@%5mHO2tvkpQ@6z(H7-O zMmFTsZIk&K3nlS+{e9GMru}Y9Zo;3mxBb=mAIaV}vwTdBzwrruY{r(wL*82ciclrR#GN!2RupDS~<>`M|2&}^!{ zcfOTgyE}wx>LG@iw06d{XT@`4bF!oEa0w&ny@;X@)1kXH=3j@B1*hE!jkx#B=GSTi zvO%R`&=f6AY@LrKdD5me4X#pI`kHS$($cWRrEAmGDyP=b?Lh;I25dEuFB&E1w zKL^%K`vEf}! zul5x_ieM!mPlseA`-X_!xOHi0q1bwM-vKOy&T+O;M-b*KmHlw3!51sQf|gFe^-qx8 ze8vHea0eMLMx03Dh>w6+o?evyfk}NsZ7?w&UOwPfQlrnrRlz*knUE>n3RO^?6+lvB z(`0XqNjg{@hR)OH+KhkG=dwI3-c)u*164wMpv7 z(Edt%ld*v3r7sJa`fF=ys3*HpYEd{oouzd8>Djh;$``#b8>eaV#=}Ai$>?{s7gSJ+KFho zCwCx>n=9AomGG?Z#w{#UWer$oS}+?xezCy>{X zadNx@AXpihQNNh^`AD^T*!R8hEYelU8H64OYoSdY9)HhH_QF-;$Z6Wxn?OBAC{F@48d~li)Xy^aM`*D6AySeZ>7JWy1mu{CYKGe zODS-xk(rf30NR)yGwCWYDrVn<*XR*ApptEINH?lRgg867!i zcyiQ3Lu|I~~N_ZW9y)hMt*Q<-XV4bSq zv}#EG1|m*k_>TwEy#6d<^ZSaveBm5?f8hGpAYBRETsyr=4C(1S2D1CW^C=q zehq__1ORnqm}E)pm-iUlKkt(0%stSI8AHS1kDm(Hw_Kj>PNlZ!a_g_&b{8nG^ro1v zj428_?HxqmJa!oLY}im>;KfG$r4pln+6|udnt+MK6tsKF#2)u698=GWB?9B;j|UYI zMitQdQ#TUway_U5N2ck$%?^(J)(n0&2uv2`$sRFjK_LV_zS5dV>T4m#yzoIXRz=8y zkXxvUk$A^P_t8>G+(0iaW>c!EPhZAYi&z0Svc(N4Xn-YKnI6+^cj?9f@DD(9%RrXh zu2tuUn5Z2wo5|KlLlo+R$KF=q{*dc=lb>{@heiy8quuDw7_*xzSMyNpN;)Y#kN?Mu zGTpbQW~1-ouYXQ} zJ1cP~(leRTqe8I#L=l1YIy7mE+iyr?VGlAi$d!M@$KGxTC)NfW4(|B++7J2?0O0gW z{%7<)mR?D*!L<1;JsO=?y6}zc7r<9uJe?@f*-#j=O2DqhXMz>n(HcvtCkWk$ubaH9 z0R$r{KFFHI{mCU_qOf86+4-_jY9ds^LXT%Pm)>NQBGa^SXpgCuB|~!Z)3-dhxPx1f!8o{e3hFi;p{11NTuM4NTObZL$Kt zv|>cCOm*~^LkGb|-rDesyo+#0Sru4slW)b1O)88xtXADkhW`gsj0dZ{mUZc2J?U$P zY>Rurzaf=b^YFXFw{*me|3};&3;y%&%kQS(h_9*k*}Gd8-K5bh`AZ`5lUMWJfz{s4 z1tm*J;nInV7{YiJyrNMp7-mduXqs07>?tiudxivC3gj;_gvjw?J%-5N(r+9W2 zdZH=?&P6dpD;rG4UWvjZ-W3!?{f!IjEa>)T50Pd{d?82Z02vMNRRkJgYIyeCp)EjI z)EGp20!SpW5l|oHs;=>Ph*NF?K%!MbELe}h*g`CMpsp9Vyfl`mIj3h41K{34XL>BTaWCY#}5HIBOMP_A6d z_6LVS7$HQ`!F15bR8q(dx7kp8a689BY=r88OcHTr;!1OB^=|j5Me*d zazEEalE}pgfb*+Cy0XGZ*X2C*pj4FQVON5+J?P8mv!aAAk?}789*YDx)6aJMcJgg! zCEa9CD|7VpmWgiC-Mj&8b&b;qQKNGcCZgPPZ%$=iu1vL4t*!8x!Tmu^m) z{iuF?8hOR(wwu4s%#%MAddDAM$UDQ$Q*$3zHt;)^-Xn}974!*o`ufoov!Bm3c8*#2rZac`BLdQD!MuhB%3b`^LH3+$X9AsW}9UTwG zn@TK@1MLD>yj|(D7Rz`5;)bJK8DI9-EJv@Or9pM4fDulfO#j3H498SFWIO!Sle;Ye z7!$h1S4rd&?8(>OYw`HhlE?EOs3D-(w34nH^a+4(lJvqrM%3Y3w&|IOq$}dq9Y_f5 zJ{>{cOa9vQ^ZOli=O*ghzegS+H8&eWGQrA}S3WG)JhI6p(W2X&yYa0T{w&YAg#gFl zeR=W;mdQ^49pr`QjX&XSOtkVPbJ`TI$kZQFzJ5+$e*O1}bwOxEU%{DI{z>_K$mk@f zO*JZuPvSNI$Dk28hu7)&El2ecm5x|hW`g)c{8;S}q1yon>eC+q~bMQ3-a z2mjMad}){d%fM*WU*%UL?)A&F+R@nOD!^0*s%$_?2q3*AE+;2oQJuK(&Lrw%hDCLA ziU*|Qr!_9UL{UDRjOVv?O8?gVR2OC%)HZ*mv@^X;%PA#>HU!r0|q(-(((gx~+9okr_+!E*Bp10LtJPXiC^D>jm`v5LQ zM}J@?GkEg1_j;eETs3EyAh&FW)Ft)5t)7(YM%UP$;89yf*m$`l{#(|FfLdex(m@fO z2|UUz;N6*Qs9XIPz%(-q=HV;o=w8JRhTvT%RAaH<_gKN4^jD1^<);>Ee(;2YoYR#2 zY%C%ywQXL;Wrb_n{6U^PEsf_}J042cG9o1}3{PGgIdQc$H+=NLglBI{< zTS??Ga})9kiQk$pFRhAu^2S)LnR4`eJ1eIdBzN~_iuGdF>e1Dg#_vY42W10qv%=&n z_>ZqK?)@7k2PgX*ol`IZ2l1)hUVM|%|9bfF`U-_7WT%;d2vF+GG=M}j~2Ea+ZyNGSdL-?hI_ zbW8CPy00-q`>Z9Lv{8~|(Lm=SpWIo!&&}y7Xf!x_!}jS0BQ{Ag$h6a07D@KmzBVX% zQnvfjphCJ^(gb8q)DO*(MOEOiRf(ARB+O@{Z$pFW;_3eJ780}(k%NLCfreL7`2FA@ z-TY;uJ6p+IU7l7kYPBU=b7<3OaceaLORD>Cw8Xw08#zQv9BXxxUV_$B!?0ZR_#IUi zoI2fKdEa8(1r;eixcO@gv7k+y=Ojjtbx;vrYLS6cyr@Iy-h7@mzaBInjsjk~mD?R& zS{L2v)P#$A%`8JGo@d=RmjgNkzq+h*h)YEq22L~)PYa{h({*>6kSd3U;|>+hZwHO5 zEEqNiACV~7OZuKl%Ix}JtU5T ze3S|V2z1Q&7HwL8*byE^?0|rp+qpxg$8Y5_@{B%pgUB7K&M<4|kOiiWji`SqUllhx^h^hh4A$QeQ9z!CFE!d*_-{o!!ygQ!B5SMB9b;NS zQ49qYi@J8UYK778m|Ez1^bjVr{!mlC5$<K>GSpj_k1d!fznf{#zYN}RhnXhq6%P4ae*3r@u5@@I z6ga8{XxntxH@)$(;9SoqD!JAVSYT(RH^)I?Q+j!NQx~;f>)DQMP1Tin5g~ZJZq1D2 z3rzTyLNSw)dHhV>pQ*=fHd>jqY`b|#KF92n4c1ON3UK^$_ZAaDsQAReTcG>4=FD`q zrwHdDU~~8I98wP4g21eY&4+(J5Z6C4i<9Nm4XEP;=B$a_L6 zmy+%d>8yL*sdn5DU)(Z#AYJy;5f!r?!nyf!4yt5xTrjYZ)KLOyv@!wxi^-~p%8=iz z>tu7BA9!$XUE4L?KkFp^!c`+_Ki#68Wf}y=65>wlUpd#(96q_dTi8lZRqIi^+gO;$ z4&RnZUcI~hzwbQMyW;(iu@j3HUjKc5HYqLf%YX3W!@s8$r3~vXoVd;}8vo2hCWRYJ zhfYpiAr0xL8IR&8p1BD;!4oudw`?_&hp^Ig9XBIEqzqO1GBO2baSIF&!xypH;GNcKoQ4cp*2glA2g3#KTG>sMvGS8QztSu{zT-@G%BTl$Nl?7M&#PIJTzuyNV7}75x=R>X3bBG zjLM|{|DHR?eN;fFxn$Ya?9kXJtKtAO4Z)jPN3%Hqg~CwE7ADMX7?S}nLQ=M<%D%&^ z;law51s$?bS(aL=dHbWU=GvWKGt@#AL{++FbB3zTba!YS8HpoVa@72UsoE-fT7%nz zp`ssSDdj7Plb)-vv$`Xjx1J}y)q9j=`=Df4Iv(}Lr+ZK`)+a{vX_I5+?p4+aL6KAM zQ!f;$G`&$r9W)I1w*(7Kb+UKVKNBdI0mj>yY*fEJ{DvJoAYa?!#zYM>)M-%axjwNA zc`3Km?X!Y3p4;D+(q}77T%Rh-`pWPE&fo|FYh64CySy zh#gqbtX(I5Jn!kW7mbRwKCyR&Wu$Yzc&_(?_iIR&{u%o8%X?uyKTc#tGqsMs?H1BI z$P3;V(Je`S@ZBhMOYyRFkW6v&Zb_;X^|DvSfNqJfLXx%YHG)W9Y1}rp5JuKm1t|Kv zMPvE~R@87@h!05++k&%CvjSwg?`%ng=Ku*Uc}}`>NJ$2T0iO1?Vl-`FUgeB1OavOs zLeFJb+j^39KMg_hahaZ~6ZuP|MtSwLR0hye9y6K?3!WbhjTQAzT4K zeaav}MMSWuixa5&uiT_T@@wpy>LK~*`hvq(kw^&Oamc@IHq%Q*8V}(qItjyNpZ{wB zteB)+stN`#^0n!FJ@Fwb2eS8Sxj}dHs$`VahV6x#vdWKtphvG}+zv<89*+?_6Td&M z(bbtk58l#9m^Q6qJg5^*O@|Bc$)=fWQAZB)P@*=$VowZHywl^NxvP#wa%@fxv| z4l;}VqoMJ}3tI~*RGZL9t0V?LUDg_S408f|7Uj)AJ-fNZ_wEIr&AP5K$k%XX2yK3M zhp)4KtuaYV<%y0-virxc3gRzLKi07yKDqV!wZ@c6k)LyZRo0HXxtq$@N84K`}&$<5_@bPGIVU>x)R^lN*ze=3f;q%5mc1kAVdP@!y zV*64Gj|tk-_7g2`-@@eUCxartGVOlUkRR@ks#aBJXxYd~R=b_^DRel-i5HZ#3Uq)c zKYy3ojt9|x;PcD6KW0vBVLIJrCAcO{#YDR7#d74-{8)b7a_^>H-$C}|j8^i;Xq%|v zL;?T#kh;T_iO1#UMmr`IoOU%-NhS>Z-z{mEl*>_*YD0P%E=Vh#VgY)NKyVKvpJd_R z4Y`mHe&P!#-+;y28!R|@W^mEzvevb}q)wK~okH|K$dK=Y;WcqSgD$l80P6>NYEKKG z>xZX|*~x8xYzkc^ha37y>rxfl>(6lVE2i{A(^ICY=bFA_PxH>r0#7Ma1ACK%vMiDl zG*m@m;e%tfe1$I5EKpw!xZS5&MQT}Kg!GhiAhdmGqy*)jHh9#; zwm%Md!_}bU6|2_|oM$SWMZU2#;LmcAx&10DD>$^~lkr-OXTzu9oSu`<=-}s$Nu^_+ zn||lUW-o4UUo={lUIj?U6eq{J9!+>^w_jizk^}vX&OS>4`Gv^*iM5n+XN(X$V}$a2 z(0Rg4#9bG#h%;O+84~i@|7Vh4I3Fm~L|~HdAPL8>6)>c`Oh~)f3p}#`zO?~5=PRB! zBitq)k>Cs~;1&!g(jv{|Yih%L#UZc%)%}vA5Z`s}U$zr$$$Z9@I4Le4oUH5Zkba6w z^jpNt%6YsVJ;PgoZty9ncH)n?*>}ETx$23Y2@*wa!u+=~G!b!05+T2YVKZ+6!MTtQ zM5KQ{q~tT+YG3I|NutAN-4OZ-QV^;bh>b{8dB(5av4qCzs~szqd{6-WUnEM@8ECWX zKd3A7vcsC#Bs}RTx+<4@&pDfJdD2zf=w1!u`HYuh=_Y0>ZaDWGH!HbJy%luh?cP~Vx-HS^nIh&539H?Y5m_1#=}kQ_tVmX^9^~`eYAsmr6wvHG)?{?C-y>^gGm8C%cbq9bI5F4>6imXhIeD zVi_7Tid4AVODpFeI9nQ0HBYcN@!0$N)D99-Fa?yhBAk~4=@dV4HrLsjL8c~PUNjOa z@A|)`)-=Bowb~E~=L#9#6?L(PsW|!Xy*5{PZ6Q;pm$Y=PIX*RJgz!EJLpUeHNc0os z$C36#O@o1*3g{d~Dj2Nxwd2~cXOaI9iL*U;axSFS$t}hKnGq-fv@dM}xEC0RMt#{guo+Syv2SQ34L~BjLrL;WeheTHPp)Gx7L9aaYK4ldtTYuqYK4)B9-j-UK zMXzwVCh?C5Vf4xBg zz}DXG`5GH*3suV#;Uk}oQlpAD!LssEmL_9>N;>9Mk||bJD_IjsW=7haR*VvlJk;TF z>R=16p%FCTdySB{pS+cG&7_h*q&^@)JfF}Gv4|wjeCHZ8D9;jzqKd>!72?6{wY?oo zc@&|z!$T|@QzR>bH;q0CBVL-Xx(CRU#PEZZA!-nu9xuOyhGaxjnisB3qJfW77P;X6rXN%BOgA z_jrhU#zAKlNa}_K@SBs-12fxAh8>UFsB7KzwiQ|}r;S6@Y}}*Pb<^5`ooTT|b7^-_3=- zIn10+*wP=NyVzphB|gGamG4Ec&Lw>^?q}Ljn)ep zB)?YLbpzRueBE;|xi`KM9ecvxx+#q$*8Y(_Kif2|C1qlyNn%d9P? z?nyPE3SdyN;TFO@A#g(B$pGl+W4Gvci4SIAa`yEZ?`%}i9Z9&d?Lm?30pfb&frj&= z;IuZ$qr6A;vkzP+u!D{UF1QC1fRp{BVkfLCA}&?DZGE_x;niRy4Nf~*wpK9^^-lvA zjZi_ad@Exwm9dLRCP9`jcH;y2ctugQEPt7#*av-`leHdq{X!mW48}Xeo8D|R_@y9U zQKFmfnT|u~Q$cEKwN*QYGN?G3-U{XE_xsBYO4iA`DU2*zU!k1LEE9g@*+0G7a&c04 zn-mJ1xs;&74|hx)%<4u+k>L!JnjO^4{WYk`X0K3X`g;Yf`KvdO?0ZN#L}4jddH;Ux zh+D&UUBjHjCTaSnnM5Zo;C`Z#5+Bf+Kqhpryr}yl^)xA`MVEO;R_dpl zZEBJ?Ewvj2@aa}%zq9Xqp)fG#_rO)}*@{&Jr0&t?Bq@IZTA=LNvlQ>pq#rYiAi?F? zX-*HYnkirBf>MWY8UwCxvOZ`8y4t(v2fVB^f#tlVB=zBN;3#7|L-Lj-q89}pz`kK4TrXlOI-*VZ?|zJ`jTC@Q4uBeBPY5L`1dpK{ z@+1_+K@FYsIHTEsLANiyvy+LC?h#%ye~0VLoALVsilGp8)IsLMdy5}Z-7C+9jt`e- zK36;I`W#IG?$u`>uZ)~%!}&Z?@^x|OS&PGe1(mS%k}PY@2RDm*JOqG{I?2~ zl8uW2pdg>2Lj{IGjF8(huHRqNeCC!2BN%Ll!htDxucY{!7|bInG4ypwc4$C&okY;u&sYEL0kV+2FTR2ai|q|7}>d_Dg7ekf@b)8==N8KejxDO!IGbn{I9T<}CqDd732v)! zu7S>3q}Fb)7QvO3a{xW0SAB)pUY&Kt|1u{I?>{+TuoOAsR8M+t*}JvVD&ZdGcc|HF zJaqLr$P!K~^1IcN1NNh_dV=x`0rxJw)`#!QrJukSpW5%Wey`B%Rny)%8Y3h#Au8U} zCW;JE5EyjmDT(iLZYe-raE^?y`V2iZIAKyY&mB(P3qq^S%yxnB2|||bK+@`VuAg=A z1|=?Ro;?RHfAh@iL~+h|`}rmO#jiW6^*bNW#Ny8tPLK2C)ycrKMf+h|ek9$GA) z&3IlCD|jy#spJWM~{)KTF&8rPzTee{rml9`hqlu)ZwXcx&@bUN?V5B$aKvz z7#;F&?-j?WYJR1iR_z9L2&h^a0W(~Qs$8a{lTiax((!847}EJF0IK~<%N(P;e_FWl z$!*w9byyp*lNXbYOy&Oj{4Kk~&FI%#xv*b*fmnHxyTxQ6XMZj=uz|l(GMMP0RP-=B zS&rZ(h6rg4BU0zUcdC#rX$SbvoWL?_tbttqnRo*^EMhu7s8q+3AvdW`ZD|6t=Q@Fs z@(s-tuA#91q}tsdmk)sk_vk}qeQTYqASb~v8_hGW9^>fyJ8~?wQBuTbs!RER2r)}H z$?tK&PAB^z>UMM5;IT|K7HGWM&BA~z*a~@4@~*7V$-&8rfhUp@#&Wf$djsKAhWzgw|vd)~YR5H6;(-7}Bty0mU|a2CgG~|du`~jfGDnhy>rTkV zc#_`gY()Wu_gX+UBly7SuzRpf(z9tVYB;CJnbHI($JOf;@=aRT&wek{)v<@&@4YbV za+%{AdA>aTe*+YQsdNX%*D8QoF~xWdeb(J3Qit1X>gcG;CIPXNCI4mxDS0e;)iJS6;z$0rD*RA0pg8@ z@eU@aA~e6gk~qS0+U;god@_=*Irh(oE=FMGp7UZY1s(}gCM*Y>Ti;k{uKPCbH25j4 z1yY4$cjRIfqO`0`ZNSx(ZJLz5`8jI)tF!_~PEK7zhGn^&Z)13e%n z3V=I8hDNHG85c(8e%H;c8%|?qG8!D?gyQ@|E@%+((Lt1=`S_ zec45;B58+A0_3JM8fv(OiAOd4a?`tM0@B}7EdSx)?7n|Dkp~YK|8!3>dzjnFtp<~B z`%~fV1qv=iEy78ld2vHW+FfTl+M+Z2+OtGHPYTl!qXGZCjmNV@1wChw3dD<18I(0M zDBU?3WS5h!^HmPy1rR2>*(=?*<(!OdVbr&ffLS2_b7oO#XMGeAnFa?<=%F33_lIan z=WC}sl%o8+cjS}_8eHVHd{1ru7>Q1jkaUJz{<|E#oUKqcTq%s2t z(S`Esty+Uj9`E7@>7AhF=aMuAc07T z3Nn{<{US%=^AuSNzsouIBmFm{o2_>bmI(eKf9ul-4!gPxxB}3zVk*1LEG%?ygp`Md zj60~+g_pcA7RtI6982n?FyBJdUuMWv7 zDz^Qr8Jc2onKyCR3M>8VfidY8P~;a>0TQBmRFn>+RH~~B`$6P8w?hezu8E{ToT~Vd zhiTStv^}giMRw<8QS@m)sCl@+*|%U<{JRhVUEdm>q{h44N1tUp=R=+Bigt-TMMeGZ z>oo!e((u;>#Rx{20H^8^o!5+(a)^**t9vF{f2i1X)=I-xAU)`grli!r=hNE*JJmd% zy*+DTo1l>LEIZr*e<9Ytgwg%A+I>@0ORnsEIcZ3J+C&VY&o7~zI^D19t-eL%uh@t! zhI3RP8>+6rW}K;VYOA!ozPx(%v-+irpT({Ad8b6KLQX$|E3x9`{rlHAL8{><5A19y zkPfsvAQx6|Xzc5nBYrp3r3>x1up)KGUH(9Q+g@tSr$*K|G`Y)~RU}q!Cl-;+N?Mm6 z%2N(c>|h71nrQwuA#3xxRS<68;Ac)u!mS2@L7}4dvoGiOF5Wi!6b_qGCYt#z;Z7k2 zU@3vTA=uqspo}amEqJZ`2RoD!^zcaOgESz+sXYN66rG>eEKuZ@>`mi`>#NY37`i*h z0>$AYW+;s=j$ZjdPZK241TnBteOsevt)nPp3-Sh*hF=CNeo;Vhu#b0)1&6Xlu(z7+ zQwammpQV5;xjKu>dCG3k*+{kzO#t4jual!~ry|ySg)Pu_;uWv^C9n9QwPGY)Q1*A9 zE588;Bj;HS_#>hZh|W+<;&2aIPl3C%ZtaSe<|)k&fwo|M(}G~fiByLi1L?lwnDPIm z?;RKG$O(;kfS$nI>=2iBAaP5@3qI?9j3mul4Yt(e%TZ;7SF#VN*%!kYS60)XUlG^l zsmCs3jp)Eyft2&KJo1)Esjq;lG%N8m`b+Q0#IXOZz2%g({$nqDDj3UFDiNXOF!e}D z+B{}RA}}uf))~`!hZ)d9UOAz)tnDXEr76=kMBswHug?hh@GSNb5P4!QCMUbx|$D`N;VwH%4&M}yt{AGO9Ja)!U zz$;QnJ_qpHP!PofS|3m|^(I9e(3R1>K*|iOaap^$sb(iKE26VIm?qZmnB+|{JM;2B zqL&qkquP-Kw31P0tXjO?p>L!ttaw6>zL3S7<7n&7%8iF@p)C#RWwVBGl|Lt0R*&kR zb%u+l%$4UJQ!j<OJ*V_|*;o+yE~!i%H}-N~;j@I))|EQ>(=tAOrsZLb|E;D^hv*S!pqBghsqsRz5CN4OC6!31 z>n5asqoDHOMCW3Nydp!+y|mDMvPkZW!72@TIrg3ixJQPo)MyCzaj1&&?4|Fddie_O zCz)CQ6aq0N_f8K^G6kKpB45Oc)}bz!oHUv70MEXS(-kY)XQiyMEB5qDyw)gfNLAh2_j^=a~8$Es0ddYYKLZms5CfgU;d z$|mdpZD{=8Jq3xqRR9>E!lpNK*X%}q^`B*|SFc`Jq-K6IqjMFiyTMFIt@7z@?r6{S zFhdlswfE36`K~ssX*>$)Oubv3NlZW<0`%IGP!0puT5Cu6=%#~sk;I%2R{)f~~D`1_$zG)`}@Vpf>w?cYi672IV%|wXvc)x;xJQyuAP2CfR2#ljEe?}#o&9`VdKN^&EgSRHS=Qn%*Vi$TcwC38~t?*yK%t}&1eo)lla zGO_ToseXZrGyobbD8l7rr8Uq8`owD$SVlFrRj$b-l0?^s2T=dV9EUX?bT9}!AgcQ2 zMbk7Vhm3y{al)o0$v?9#^|M*BhnCOg!8*iE+^G|r4&z;H7%?-nL?+VL$*~398l|i< z(_(|YHNeCgY2BL6u}~mAwqB)lHy1SH@{5R?18%Cep!Ay4l?90?4S#0`uEee%bhW*1 zxZP+_nd~Tj*UuoYMN?*dxPYd?9^HmoniPy{tH$?Fe+(^FOG>H_TdlWF`V7#C{3&Be z97lvaLHMS>#qlfbunK&gDkl*4HQM&`R2_W*!)O{c0jI*#@hQhiR7`4`=x?t`$^J6i zPRI%0@0pvFh13%(OkFeljNzd6MgUgAboRG{eZjr|T{0v_9K;PiNJ~t-+^OQrg!6>D z7SJDRaZxAy*`>Hs z7kGwT8naqtfED|YvQjVaAR>-!5*oKWreWvB2h2o@UEO5H^ey(-t9VWfxXnIRSG@<0 zRdu-r$wGH>L^2;E1$%4c|BJU$)H=dL#e2Cy~_ZZ$}-V+{VeMYo8zFg z9KQ0iQAJ`$rUb;yy@pU2BOn#2#%tjbr0D+a}DFlCDo>(+nJf8*QV zxAfyoQyFgjm&}q~#Zv;PBj(#B(u2khiHtgtW7pHPW#f zE+!3{29_dIn;`9lMe%go&0auh=F#rD`A|-fN9m?$PpTi5EOPe9F|rj(^@49S>g;AO3M=mse+O>e`!Z1&~aC~Lue;Z`Wm6RD7|tMz4>~@ zNg+_l@&6sIy7u46%*{tzMyCV6b977c*AHHv6&Nj~&QR0VY9il@Gqv<+{yNG3=nFpdhxgaK9 zM=B8TPxr&sTW)_hax2?ej-C1cl5E)N+ZWo|A8(boF$pvLeWb5it=J~e(4!mIvH8Ol z(O@ZJ4$}vk^1>IGF1^{Vk0R0H;Jex`GP8a&s*l(F;+g)v0{N?;Pd!JnH?xm@ z5{e`-SPy{vuvRVfO=P@^4Kd$(>)6ec=v`a$s)x5_xPT{7&i_zyuGk0Vgu@D|vSYM$QTD!2(k|3Hq6#XlUJXCS{qWllYqVF3&aV6_*7~@rPW* zXY?vT`kJSM_aNT(BEt-1Lk;erddqq$vO@fB>qShUQDtce#AsKdIsP%#3Xx3{eizI1 z`R_jL;5Fi5UMIC!{$LGyk`2^J<%Q5Hf~zep3Lh6VqgHwZgfOhpe7;|Tr$0_Q)J${A zn{MCuUO%U4Bs+or?bFZSaU6Jm1~IX9&htashv6`55_h&yC=8po8FJ$6R^W4wmOl3E z{bgDl@z2cK-=^mCd?|0}g5QHK?2iYb22P|SHM^TmGB$S~bSswj7=!7ia zy>w7|dyb56}E@Xh&9xU;Lq4TIXXa{IJQO z#;+7HwOsytKT9A~@OsskuhC_w9rm*yd%+?p6!ds5emqw0=9gTSm?VIa>BH=J=z0eI zeXcbS#B*1hAFJMW1~;5XGkr*GdIwP4EwWc%`^UhYYg1*JKeyX1VvKh*6FJXT-IjB; zd7B%r)e>H{cPI?vwAPI@>*0mHFx1UjDx?C$;uW>?J_+-e>i3U)A6i27M?RQ)i*k!> z&&(P)2&-$mAE4yatz&xgyOQDsF{!ikKS~1mu~Ef2Q))9=bZ;YmOEbO*Day#&6JR)GXq;T){R;;+hf(mohUTWRC4v9V5!YygU+#F;aads7b zpYyb92J0tmNaQ!8uG!^*c6sae~fw{5d`N-w<^J?hjE?rOu9b`MuTDepY<^3TH;=Y>uWVBWrd zER|n5Tw(BAcS_Deu-je*`W?Vn44;w|O8 zR#Jy1%G=FxONMKzHTTN7O{KpkhHCC6ML!nd9MwQ}NDm#0{1$Mp7kt>91vAQmV2Nvw%{d5yXGc=e7ou)K%ho10uua2Q5jiE?(oihSx4q&DsI*&}O9dVL9Cd|T zoEI3?%xmL^9rjN(jwnh!&QB*-=;s57lf0S{bt|+#ghD`R%~9oZ3xaTaX@R49n2yfz zfTh?k1=nqozIY=x@N^qQo&KxGe$N+DUWV>0yA>vBr`Ow@qjS4z38E;tJuUX)_5g! z7b;D3o2F}BT6bby?@=8cvA+&Z0X12Or@*3aGO%8EFt=dm!JUzxX|b?7sPT&txdUuf zTH@(++|pE70WR)xZ7C@vwX2Ha+8(n>`d7XFtP;)Jf3!>ZLXSY=+k@P0hszTsLyK;X zl@~|l2?=%2Q6VAAn;M8LjvPz6h9Z|LQ$wpsA-WJ{d9WVEEXuZ+foM(%2b1>l9Lms^PTg`deo^YP=v(+qq+E z;YPJ1*jSwhqA>~Y14VDu_v{zz3|E{K6=7&PnnDT*@jr@ixi z2#^^qj zduGw@7N@gR^Cq@Sb)(>$(}bh7`~es z{gy)gEEv_v->ITXv*2=R>6+bgdAX|QDuTJXZS+qv zu0&KVML!yf&C%gJ_yhu9|03-(@F}zYXj-How?Gx23y~jrtLj-MEVWz>2qtl%7S`h- zhJx^KC4RO>D%MKV9koqgiS+t?A*F#?o&63|;2qNphmu6}Z*+QaMiNYghhOO!)0u)Z)c zVxW4-p;;-`A&QMy+mgWZ3g8YijrL-7V9GAY$tyWa^4S!lQQ!RiUi^T7L_6o?Z-2qb zB4~b-nhC^d&C*1^?AFz7ElCE3ZSlJ5dq7jQ(mY$&E@}wzK$P{7f91ex<3!grvZ};s zB;)*o{2!t!y_}w{M4ZhuR-hw*{3xW~EYr|5!*ZvZJXFG$g(PyNyOXxmqdGt~M#C_d z0CPn6CMo^FV|gbL`Bjnqo=2r-=!2kzDR6Xgb@np>$qhbp@N#4ZqTTfR*ud1)D!Ia# zZbDS5$HuW^qnJgL>1?&o(>l`@}#|oIS#u=+I{Eb9q_WCDTK>v0w%1^@cJdaHP(nikz)SEfI=pDxUgi-)_cFI%4!TFs^)N(PH^@KRgt)ggyD z85WxjP9m|)4<1VtY2LA9%B%3Jn9F1TZ4X(&OVh6(yBD6JdBUuE<<1JTxjWs!zzSTd(i22C!py&DDq1r8H>}%(kAjt zf~;~ZZD1WKZ$uqhORX4}m*hQFAB*%w=7A6KQLA*xOykdOT(L!$;wkal*S0aPR)guv z47K_U+t9ShSu*WvbgaLSXz7_^L+9pn=P~rXo6?^58<#DMXX2JinpUk&HAbD1KT*tbOO? z>fL96%$0PHkXi3$yhV$~^Gxv7Ou&ouQ@1rndsw;M1HV`(Ws`FT@LzAg2N5<`Ewj-GJP7>cIDH>uuvAar5{HKaNT zP@NRp@i>vs=Sq7rh4NJBeKEwFt5g7$bVz+uXkxnVI?>K0(>=|9+LanPC&JEzBA1;M zN}K=-8i`}X3gj(LUc$E6AB{mmq*cj??c8=6j8|0O&QCyt^wIo^?WW3PvqLtkrc+Xe zJx9`|nv)>4*5>R{=>pJ9daH`{NgN{3*y~7I-ciocG_=!N+R+ui{#zBIK&cwv46O|Y zE=S<+r?f>QCVrcR&$TMe6)062`mY*1BfCK_%){|4xf>-zxT9PAKDuq}gCRV-#e8%~ zJV!z!mAZ_eqRXz6vq=_yRc*etD1b^gPI0@yYoXe!SE9~6pS-dDhx z?UbWjF&lGMXghl@!ezGGLt`ZK%g7@>g`>jH(|+ACJ!P=^IQH;2%llV5m7A9++M>&q zsNa~@y)$fMxMQ(RKA84Mw=erbbE0bR`s+2IhrVP0R#XO+sg!6LBcwnc8iB%|1PlgT z`I@fy8bM93qfUul#W-CV*f#zzdpw*s9xIa4gx~GssSIpp{ITPRz(Z%YJ@_*)wuSrq zGbYAEL_Cx>H-2@4=T>6-+3CpP0>y>3q>XfZ)jO(%=1(x;Ukh}{Gm}-dlTf|vtx~cs zb41d#RE2+1_`I)@D97K%q7nce`oqhM@b(hJh6Xkq+^Dnob4xmN%E@L1a=}Qb{2QZq zDp~c<&38ErK9@W`zd1VTwJ2$jfANuUjg?oCy$8RwkQs36ylx5^G9Z5$@#Ctt^3_hpWkOz zwml;v1s#|vacL!tsI#>X3u8Zdba0>lLy-&wa!$R+hS-Q){)|_NXwvV0I=W3BJ=R*GbLSca; znx!UqeSsp;WLYyn)H=fjixM1{b+Ztc%``u7BD(6$SUn{1hrI_9{Z@b3T8mULyxSy@`qL&(OHy; z+kgG3ga79FEZeo4F~*Z^i@Sq%I+ zU#jmD_ZiG{bLzU~aP1TKW69=D+Kgf8-f3eeHfi-TL(!(?asDpM_FmOBc;^36bRKR= zwhtRt1Qiqm6cr^y1q58UM^@lOMa4Zc_ueZr>s3T^i+g4`bFa+Iti+Y8oSAJkEwk}z zw(I@*`TYyeaX-iL+}CrR=cS%9CrC^~QizT(pV6b2iZYt5Dk}~XT2kK84BzVV`B?G2 z&>P+EpxWMEd!1g6o)p}AwV>6}%KDTAui;TO;8is?k~$J+f1FV7Skq)1{_iWz)v@`# zN~QDHMZ(mF>2MQAwe*O%v!cTuxB#n|3O8S181DG{!YYA^gmsS0YI2+eu4dB`CGx|c zP1v>D%l9Z?DF&<=?g?7vX)*ZnIBCaSmcC|Lygxy>fH)Uy1Ihi@!=XUU|IxFFk8x|_ zk=9oj`)@Ur(o%nev;v+SkXr*Jcauwye$RRxa?>R%9XzyAef~X(mxPzy82=8IC)+-m zi((6~#!ot8|6&7MX|{u8!($V8?+zeiW|P+cm0v9E%X zX)1K^FwzM-YDXDr<{FWH`mjzLWflU&rkIegWo#{KMRPm42y6-^l?l3 z=hggs3Lda10H_bz!(Y`&9xGe{_rRn=#*JSILg_UJwKe(1kg?8RLP-5rj@Vq+^|L{0 zPD&k|C@L0+V4;;u;*fxbCTGx!Qcwy+B;??;AGg; z6Hi{;o^c&;_Mc={kH^GBLYf-=$iHT(w{@Vi02JR~hJ73@o*Prg;&5}tb#3E(dXN(e zmDgOUi4>5^kqfYq8i7O`hFU4Dqa!FE9k7xR#Yc5pIH>p68FS?R(zH2_3ZWUhptx4_ zNk6hYpNcP1Q{J~rq#}k>ylQJ1YO4DPT2TlX2LH>vkWRr?b*>j)`YCoiOFHnsD`_Ru zRPI*yI&E+?p!!o5RnTlXEXM>5JaqKAlUo4EI?0{MHZGf-Bk}^C6tY~@N zKjpm|Qw*NIncLBNllR$!w^hyv!tJ~a%X8{L??;LMlPRsOP6bMmkn7BwXp;iN@!vk9 z_-yIr?JBfk_TFIoAa3pz+*q$B1uW(vWo(4kwm3_DD#Ym$A2!E{Ofrk=G4$m5V_z_3)RLHskfG9HzYsPOVbH0L;PQ?i)n`9gms zT_aHglY0(t8>R%$Zi5vm+y{5RC^&Kt+Vnz|V7KxlJR07(VCI)}(=7gLw?A*`N#U*N zboj<8hyp+UnW(OndhAf^YR;dYRP2Zlrzcd`^F?sDsa%DjNT;5gqX#GOrSp(3Qlw`& zgVh!Od~(iNu=fv&dD#My>~*MB(D1*EM#fvJw5CFoNAY+S3zT=;&hiCq6#WW9Fw*Xz zg967;Rwj=0Mu%+?DUT0lrNz4U>XbV$iP+RITLH7Z2YDYw2I`II{|V+Re>cBiBpsIq zHyA@vn44~7)2c=KM1gpCIA#29?(cS2D^3SK&#{#}HHpTu~ipdhyJ=M6d zl^;+O>^} z1Pkq?@$?~A)S-!qtD3!Y-&v}!Xx^aWOh?@FEn$lyJfxkyBpBz5XzJzkxRn_eDdFs% z5PE-yz3K`iB}Dtjj>5CFmaCEv))pYt)OTHHL*<2=iML?sohdtIpD2n!%R^^VKR2~j zYIawUoPLrYAqpbuy@!9=W+A$*OIwn6CH;XI}1-Q(cb@CYF2wQ>yc7d-be}j!xzu!hh^httndNP+>Dod2&bZy z5Fcgp?5;a@nzsiGT_Q&ug2ZP7Leg(Wyn57d>%&D=QN>XUt7^acQu&Gt%t{SA8lary z^kuTlPSD~ItdHOFm8*aC(NeYk&#QVvoe}+y;i~ehY#hkCcF_V%XJ-4i)Fb*Qt4Kq= zc&r5hkYh`zefY&#l!*Mu$U)}E*G z*k`mlB24d?N+qccY-QiVAZF#cedNb_jQj#;TaBpkmq%6wiDn1qy6`jTF|8J0QOC6q zMFd(ejTIRh4k=w~%qt%!-doU9m8lNCPQKwyC4e6qjE2wT1Q(QYjMq?{t<7 zTp(}4vw^PuSjiqL6rOZSx&NW{23^bZ0`9x|EWWs76%pbermq=NWR80Nbp-m{cGu_d zOSeyU>o>7;XHLGYFk=P3so7>A0>t8mxJ_b#p>p)q$-dju)tfGkUPkHuQBV7I z99@+I(o4~9b;570rKVIBM+&!uMQeg^Qna-ZAorJ~-I6SR-WFkve>KDy>tCp6-AZVs zb-zRosRgtfU90q~6)UTpL`97R*JqPDQXM9b8dkT@TJV2aG(+8m_to)(V`d?End!?7K9+(#U;hgyJ4wrocm6?!Vk0E90NdE>A&&ZQe(%N%4?Tp9tSp3 z)R=o`?AazH(L29&kS6oA^y1(>>~ytV81>0)rl~Fea%$O)SyNS4Ib@CYMc%`S`Cv{| zGej|N_AS!c{qB3U!1f$r=##Ls37SgmU*B#lW#g=FF6mk-KXvwq{R9uH>uec#0hs=z z9huYHNw1QV|M6s#%y+S*m=f9GPp#@ncMZg)74?on8b+&v%XqIt0!wJy40=`2(x->r zusXSk!Av8U1X-czc4!b6L|7f+*J7suYh2RcKGbZQqX_*sF*9wL3yZia)Fnb*D&a*?p!?}++aY3#^Q|YQoVU+nRBI+TZYE6fl3#@x=UTYPinzAa)aa%vVX1?`Ud+H=@*%(Ul?qJ#C2U<=J;3xH)w;f< zBaIO|MWGECsXZ2Ozf%`@^I4SnFI}jga7gBM2CGbv0zBST<=jrE-qQZr0`|)(sqraf zS#>;$i~$OW{q|$&Cm|VE>_;`MzjmMPNo9wSQ>E;BGxEcOi`?9~Z@rq-uh2<)!5`M| zR52bOdHEQ`6hq{r1M8|6?Fs#Qb2mJ1RK4PzcfN_1`H~%2wJaQ}IqSBneNBvh)wtJf zr=?8YH1w2x;wR+T0loY355*YsW?=O$;v}zpri%l&q`jp2MVC%?sBYSkr~@NS!w5k{ z_~asPta$STRe#f!Fhc=eQttH%BYM0qp9TmJ4imfqqDN9Dp@!E;xZIZl|;1n!!U;ez%|)M@)~SGISm*J*TufXq^TU z`>Uc^sh2@sGO-$Qk(Dj^DQ?o2dgvpv-3@4cjzkYYE@$h7na;C|tTalQu|l^_nugS~8p=%J>VFd@`O_k|C5`4PN6OSEa+(GM z%!6WDzpFoR3$HuX&@p{Dxa6c0Tu_y*_DuMLcT!dz&BPBE?}PXw$QAEJ4d92 zh!X^$eeV04mXh%otP!1UNZ0Oo>!j05pDp%~;JCQZ$87h!ja;!F zuIQ33Q{HYpH!?H0`(@O^rDsJ08JR$IaO`Z+OR(t6IA3F-*Hfm=cMDx!m~*WpgLAN? z6F)?hWt#xsKg*`u#pUeDzYu>0k}jz^HZ=G3(aoIg1*ih){2u2|fRH<6lzm??HsZ-i z=f^bv+{h_aiAR`v%vQ_vl^@{v_+*H~@1Xk59$v4*Y?fPmA-{GC^D=bF&0-BHYR^d( zkuv7_F&ZP;n1eZ_`*)aH7jfjnxL!jlH}45RTRxMk1P0=QAMOad;zRoqKzur5&iU^y zI`Qr7(Rb-bib2gMo>5xm7Rtk3Zvtg~?9zZ=c2(3*=#t))-`o z7s_t~XpJce=^Xhub~V6oujt>_XU3;7SY?Xp{bW4279c)Jg^v43K`hLL_t3Bn?7}wY zbaxv21OKw`shBa9Tv^b{v}6&7xZ9F1{^&l>T;PnHW$xSSOjB9<#IXj8D>VfpAvQrh zw5O&YW0ca9=r-<;Qd=;jAey21Y16N5z@K3oxTA%z79KMT-i=(UaV`v(CJNzX|xDk2n}Cex$;)rht>YW%nShugn2*=KiaSqUj+m1kir&!A#>%720L@cI1OBSX#v?SUgP0uk%kDHO z9U{Z4Nqz(I%uq3fntcx`dE{+ZZ_3&UwUuijMQjMWDC95g7%+}le*$8$UHYfFsc@Lx zk_cpmYm1GDxAS7)r>w<{=}U6AAxzBhhDFhck_9z6BfM69t`^%Yk;0Eo;u6P$p)p*+ zX0Ekq+lF{Yn0W8^nC=&SP??vDcU7X{)6H2g6yH)Naq9HP&F>+VZ{<~{cs4BjM-Q>G z1fY?KQ8q9rYc&&zz@)n+UbR>;9@u#G7R*38MVb`tWILBqI?KF8HC0h{JMJ>P zJ}_0$Q(?HG%pyBE9O*rJso`ketI~o`sBv6uXBTxTOI_E%Pz+%yj zvdfCf10)H%5y2u3?pahVS@;vo*kOb#I3uffp2|#U4z$S58;*3SI1IP~4EvE`Nadr; zzECp_(6B+TJeQjo6J9XN&#JBURrRr8sb{|KC-@lGgWZ@R4ikr67y)y*L^D@@WBGmx z|Jt+0`<}-Lo}!Gl(fUmm#2?E# zV9$`{#hP|e zykP@03H+$}pv+qyQLlKuQKy6#YRU%%@S3eOoJAmyXNOa1D%K<3QY92yp5_9eIk=5t z*7o-302(wdRn)ZCq64z3yij&j=#dJIl?(j-$d>2;JAL>z3=kuk>m{+0(s?xEIb3J= z$bUs8&&Y4mx~okB>n+hG_&0(sM3S%K_IbHZUgv;XBgH$qK%c71M8axgkR3P;$;!?!bjx`DeKkS!z!F}&pKY^ zA)RBQ?$f$p_q{TcFOku3-bvAeqH)76^pbc3UYCU!uFI?1v>}NwUd2MkgHbC5QKKIm zi$Bz?c)=m za#V=|jMR~~v1A0LBKR|d+5)-p8a5+UvM#*DgBbOe*et`9r-AZXRXS3?@o#%=*nkYO zGVIhgwx$&P$B!QvbDNPdmrUEYXxz(hW3G-Iu$jpMa32!Z_krhIMllzW`lb!JE6SKtan+*6_`` zOl&W|Jnbq|*E-$|@%y^^S@QuzfB`uaxKBxq7jLyQ7E;Kba2?Gs^5Dlm#~iFd*IeQd z$#ICkJ181Y;qZoD#yEyR4V4N9wc(@}HfRf*ej%mWJLITG{#x*0`Uns63{cWL54&F{ za$Mj~|>g7H-LO2`yjBPcB)BQ7jdRQ71*X0(bBCmmt^40~j@ zwH6!Kehu!e#hnm1j~_k^V0gdp8^`h8xqfrXK@$@0!c@57DX+fc<+K7kKKdyS_)Gb2 z+vGixNJ5N)keRRwY-*%@ za#!pfEEOb3MCTtcblaj|`&%c;67AsD19@>%k~!3*V`d?N7n&n`)+EawQ!fazG>j#4 zu?2VHsSBmJRY^Kw2vP^LjX^T64b51;i6vMVk^~x@2%|s$w`uI3E=`5?xhV4a zqx^63qT_?hXVp&Pk7AK2!fuasnDTvb>-c8g-aq5#16L&dwm_lvuAZ}6Bmj>aG>aQh6ti?<8=R^3{D~!EIL=#h1Des_3E6;f7~14^;wfU)AdCjXnXCi zvG{uAs?>AoRV~D=l}q&ls6QutPH2?-66ya4pu%b%t_f?X3V|4WTGj)=A+S20Ay)k6 z?AAEyXYjWdI~z%<=YDBT2RfYID8=J_t16pXPiytlf2ee&&a7qLZZND7#vyBY(Lqlt z48~O!w)Ijv_j_`oa=dpk*IqK}L(1GE?}jc*?r}X-W}eCEDYZ&IZV$nfZjf-c*T$|M zkCYgtde5go@u`Z9{N3( zWaZh&oiT8r)pXm+H)Xm$kv~;9w?QsNe)H zNn{lsQOCyohl05mgqebkcawC!X1-{r{nQ9H?d3N9kbyDXVoHC}}eVAcS zURd_GjxJJz?T^na>s1Hg~ps*rakqMGPk&V$8>5s7gk}?bf4@K^zZQi*w znbCI|ESOw4TZQb|wO)tIARA?^>}Z^BTi1_F!(>yzIm)*9*)hNB`BP&beOfA3LaIja z*9;Ld$+HZzH$vN}fZCP+K<(0jY*anr$o6_JljqZuJtdS<4a}0ko(@tkK z+=OA1tgZ4Te>C5D1Ai0W$t)GC!tDpsaP_L|c)^j|x^u~W%HP*o;-&_lW&E138)D(} zTqS)0-GO94=5^ss$QW==Sw(!lP0*;epWNZ4Jt00oDj01`9XI@&oA~g7y1d^!GeAEJ z5c?%iNbTRv*KK%lvUi6cb%ogiPUIKUyqq=$@Y3ZLSLh2L0l~tDCznC=krOHcNpG#~ zq%c*2VTLmD>@@M&k<)~N2?j2 zBUS?~D5)C!`Mb{A`HyN`+TXI|wHZm~bLMT*xa;q_Zcd+EDmzy^*2ZoNo_sk{CE%~>CZk|GD!?PlxL-jN9l^_Ne%hgPc%X?zM(4txK;?#A3_HYZ1K z$v5~dlS0*7ZDc<9n9q7qy_z-naRsug z=KauSz-1q*qE=bro#f;ZYb|~LC61GFq4m6#&LsUt1|pOkZABaOst4rG64b!pz~QFx za{ahhIY7^D0(p?JnP zGY5kbNrZ~R>sPFhtAa&#q8zfT3Gp9p)-uHp>|@1}NqS>%?iA;1DZQKOK$j*yCI)(~ zV_A<2d}IV?)QMAHgcXR`GN6jRvb@lt!pYh?C#*tCv?<9#X?eC-dXp)be(`MV6TKW4 zu7bnqcwf<0Ut~@W>tf*)!84rU4N`gSu(1fKw5_A7Is1veP`tg7Ar;mwYa}gBNUnAZ zZ)v*Y9*i4a>Ixb?RRoQ8Ch&Qs6T)d0vEvctK;0Er4V5OH1beG=pX#I<~y%X76 zwA0E(BNy|kWNW#O&iT4{wt*v``({$pJNLQv?Fa8Q?zD`=v!N4#KctEpc}#Xbd*e)} z@?X?XDk~Tp0&{!U9532i{WDu-8K^t11J{0!ls{0FFTg^o-?~ndHkG^pK z6aHSXOQxzyc;~~6=b?R{nx!K@|8@c#zjw;#jMP(1`HM%VA2-^^zJ}GV4Wu34{h6b* zzB38=nBKV|HYWC0)&?v!c};t2`XBy6p^6>RKDPO$ddZH=jJ^(pH{RFY3L!qy919DS ze4{Yq=K0p3q`1Pv2D@v1=(J?L!aqf6Hr}1isj1*-y0hg#*pzgswJ7=Dgj7-0XA>F= zTe&V<<2VmBfLNI<)|#uLW*;+|0FxYw^dkn$Cc+g)Mza){+h)+zc_R_cwreF!V(b#Q zH}|VSo20jB;j9Od<_8M(Qc?&ldLeuaBvw4Pqek;K^zPG`?3*eSCH-8>!}8+OX+EdP zZe!{mgICk%d=ahdg>EYxe#Fs?jvKK;?K2I$MGXL*C)R$m23)Uf#Ntgwvs8Wouk*b6 zn4b&Cx|z#Y^(xL%XXoUJ-_0m#CC&Qe+ul!zGVn8rS$N&e{Q|p3-a^!snSX4OiuPcM zu$&-;xWS%T$f0Sf@*Awc@rm{3L`-JBHn1HMc_TAb-~XCSlMm{pGTeeQGk4&I=`t+}rQ`e)j&x+sL8m{Ea;U^>6}+@@);BijF^Nqs}=w%`CQk z>I0hKV6s})RkCcUl9v16jj(z({>KW)Y%S*TYoTs&gofDjs7dkSz4C?6z2NN44jaVd z+Nu9O<>%hXLDI3pSDzxv^&7^|VwP`j<<>*#L57Ijy?QYvbMYPr-b8!Zlk(wN_O}zw z=RB_HWV@J!)hp%{VeCq~7v7x?s{lSRY<13%+`t*AP1h7%WaoZ0%r#pQv{f}+k#Ps2 zU#~r(Uml&+^;alz;eWBEhep=Gt# z#4D_Np*k@uQozm5*%O6#*sd*AiQv%^orBi?B3 zB=pMrOi>{?7iNyllkt@lk~r$Yn)cN-Cgh9H6{3`au;SJ+=1Tp7Uh=kR{SgyJWblGx z&hsNAskVi?{QARVHX)@GU6|#7=eYYkZ+!i~ z0;3CWbz7Ryqjnv~q-zVA(!SRvP`%a#s4b$B!rMuwQ3UVZoS6$0Wc=&H_;EMVyfLv& zI>9L0GLDQWS6+JFt@3$-I1YVvi-P%kL0)4KglNkk{0za zr(W3h0L-dMJPZSFC{d_k`&5o=wIaYF>w+EEP2$w0>I=^t+agbStNzdX)a-#`>-kf3 z@3_1-i3LUys|)zbMG99fcq2AwUCydNJV9qiYEU-qZglYelFH{zmC;oGS}F*K6@9pI zrrw{Q-C)m?Mw!9G=p5k@S+wFvKy@KntX`sM+xENoP>PP~2C;3#+a-fgZeH&K)Xp!g-4>iuK7z@_~f< z_yO;Xzrhu&dB`Gx(P~DKedJ>v@SDI$LS=wklk$;uK0l~{;RgO582HWt@!A(- z71J1jLIrra{6(!}t$gA}AW(G=9&X3X)ik0;``yJ#mPO~TvoZfJ`uW@C&;cS3{Uzm| z5LF()_VRTguhbU)FE&Cm6t|3KRP$LW(h(i7h3 zW)Au#rf5M9Hs&MxdsKGZU)0YQq)1j>H^vtKir^@90|$g)3+_0V-404ELn+`?2^QMS)PzW_tnHQT&`Q zxJzp|jf1G$?8YN{;1=V;ofQ8AwG$$8;b=MEC?ADN|3FF|GoFhmWj1N!H5gHn7Ct~S z8Q$*;k0i!;#5HXX@Q1;`hk+wn0`=G;wt3+%x%r;heiVsA7HjJb>RNQWg_9bl7BtEh zd=->&Q;@-}*f_`&LM*~9(&D%GkK=mSnu(`JQME2Sg}u8{Qz^A?z^sZP>2}-Gr-Nk1 zQ$-?+SV>#xG+WStju_KW*TxXyL;;Q0DL3;F)npNbMfB=3XxNb=mCea)3hf5gq{za+ zkAW6Nl0;4f!;28^g`QYv${>Bj&04SZO{-)jr|CD4-1nYR2K;F*~8`TpGBHJYYjMD5(*PdC$rr!QOzQoxV;n z|Luf`cjA{1Ek;`aW&rh*$u(c~6Voah)CtU#Tq6kuyr9^>C{5CSVvRa>-?Yl&XtjC; z+w7#IRR$NT&p*1wc(noP;u47yK39tx^U2lU6E3{O)bxA1--Z_qWeZPX+CR5QO@PmT zde0dDdX!fyHY3lD@}lpl6vU`mY$+0s$WUD$>B5s1@u zVUC5Yt*l#Gz2cTJ!iud&Pc=$X^CErg_FrdsgU$J#ce}eF%$U7oIeZ2RUcmuk@Ay=b zg$_kOfbl&#SNlvghx+zy?f(e|bp9lTaYzB;;9!mrK1%3kbi~;{9e5xxX)LDo&84WV zv;EWN*e6)i%`=WZ!qbBWd={emwi3!*Tz#WSv@GsQq4qMb2-*-Ly{XOPD04o>Xy|)AH#}g28vCk&P$)^j8_?bA2fv-2(y$Lu|@w$V}{3w%s2>h z;HpBdQrEquU!oGq7`!PL$5WnP?cG29Vo4=EXYe!MnePXJo4tT0jNrIGD!~WEO@xZe zi(QsGzBC2g!N@!-g6?o!!&VWe6JU$`G8tMI0(sN}Il%Sxbh)QcN(O>4iZSKUI5Z4q z{pVn<)q9-TbB^X4H@YJBj(ky3YMQrN3~Q`R6z$1UFEwTB|ESaVuor1H0)%+=$&GqjRmzx&E_+9CtB-;*kloWO5f1x$qrT@o6X+^u=H5zt7C${UToZs^1qZA zG0~AY$x+9My7eMI^5Q7K9X4>ShLxyJ;-@-vaF9Pe)IZPI+WpEA zjj{AtbLCpv<->cFcJ=N%O?%wU{B?`pEtY?SLwfOqWX%S5viW5`3NGyd7hn(@Hhq5Nd=jRT@7BbL9*#!%5B$MA^$7MHChA;$bm=8 zAqPD=R!H?O&13Olz*WraMud?iwb^J?vU`rn8oEKnlnRHG+ z0H%91t0iI$gVyq_X?5|39)|`;^#${Q@7K&xzTsfpK9Na3^FHLohJ1};;BHA#y)WGV ze^9d6X3|f~d>tfoF(xL-_msGXu@+7|mEtri%UstugqR+$#?14mm>fBVj@`mmjOgsy zMx3o*ALEf4uRG)WUTlQsn3W<7(p}MO>0@X^SwrElbgPk zn?nK-2Q151l)85xfM!v^&h;&4nY~5Kv0xs{Vi=T?f47p&KSaM**i#-{$ic&)!{)yOnll(j0!M``g{6?qJcoH?gx0jdq4v8j0S`BlP^t$zn}<$~ai7WaLws0;e#e zQhtds1{7VQvC&(jS>wR7Zr&N?3bkal2~kTwQwb<)I6Y6R#ZtChYn5SGM5b5q%M$e6 zj+B_Xg(g|j<*or$=_BUQoA{ddAPCO9cOqMR<;E!FQHXp~mP?eSY`T2j&LWCArzu!R z5D3|sb+Id+s=j*otOwK(DamA(YB{WJqvY*%!NsMyUg-=YD5$C0o4~c3ooBUmR_8|5 zmDpwJ-$<|5E`u~m+H^;SlQd;QbB}9wt+y$Xh8pBLJ`X7hIoNx;hN)U^*0*=v*)r_t zzTYFMv^Mc#Mo8#RKlo#X*#a4KTrmTDtlX}w9=ojH&ZaFcbkt30s>=HKr2EL+_7S_< zQP^VXQAIPfFn7>>lk4!-)u>2o<^sOaAwq8h#Q^s5qv>m2WGR8C9EoDBN4nk;@*T46 z?Z}Fs{AgBNkde}_h@qJ4v0b;{TGSM|g@FDz+@1HU-nubbDdrHx0=oLC@tRx^G$u>Y ztWzd{+J_}{-Xev7Uo4c()KfC_Y)#ZYOGABSTQIHau~W4^tEZwbg><&1j(?w;v*T_H&@a!D&OfNX^}^T zY7N_u;p$0S#@VO)d`d|UcIBs#j!urq_LDbi+Oky#Uk#Ne`GkK%x^k_FyghC|EONW= z^UFUev9;g}EOu$r4T-%L_V4lMq>kxi?F24&LOR-V%Cr*MRk#wicV3#I^agdX29iE3 zfi;T>5>vx?7E!Asjll$2#G>wKy4=1r<*ATrgz)EkOfkV(c;RE8MmEo$-S_`~{CS(=hE zlYs`BX$uASkAm?j6HjRCV~3gJo}q*+>Ox7im_b8$U`jr1)Q`1~ z^(I@Ts_f z*ldW@M2}Toj}pFNp!Lv)FlO%;J%g0lhn(a3A2IYfXS)KG_VZL-)2O-LQ^68k1AdYN z$Cx-=!osiB`|0dY28-ymz5*Mjh;U5?C8J5CEv)^(b7|FLGE`pp9m-qr_?y+eg*P=A zMA!&R1Ix|O><5^brA$OJ>Kmo48l)WvPlTUS)UL4Qd}l`Ht$KicSIHqD|B8Yc2mcfQ z5!y5+T_#BqO2+=!HI=h0X1rf;3&Wo&v6G~>xTi3eC?7G zzkz9Wi}2z-QR!M!W?+9&L8-B*Vv8@@pc$Y)?=q%7`6l@QY!U7?bG_wDHkW)0Snno&n`2kz z5^kTgH7C@SnJzIdHtGCn%Tw>dMEm`oCLqJsG>pb8a)bt))aXygU;+2>doh=-0LR%Q1bX94#KFV3%&LrNU9MLMZ9-$J9~>nq3o^xk z^y&MrLOLbTt1jG&p`*Ruwt%PA#^G&b5?ny_Z=<- z^zf%4x27#f4z6@v?rn)-G0Urw#DBd81tjkUy&=c$=jfHkgAz9-@S9GFiyhOj{aKd$av^xN5qI0HDvoA~zjd2VN@oN7k0uEMH^hWipexy=t&4xDN1!0U- zY?60~0a1m{#O=u%H3UA3Z)|P9!X&z(h zEa1?5Oe^o{YJlXh$CFoI%69C9#ux6E7VS>4hMdN#%wJ>D8-%i#0#>t?oi7MW_3^fa z8EnGSZg=TMri0`@lGGB2frouPqhTL6aL-;G7&t8K|G)#kNwZU%`5aH#@7#PPdgzQY|7C04~9^LKvyRE)tBy3{71CU>`_ZfN2G( z*PrAQ-6N>Ys0U9;RnJz{Hc0(%nRB5KB-lp)jj}u`cOK3ZZ~Q#ArJFDOhLxgt$Fl;L zMFQX9y&^tRMvKPAwN?aUq$$y0jWp&w_2$%V?C_%W-z)?Ag???x8oM@O0tI{ zr*o>8i6u70CAmR|%*ef_VejsA-TqhlnVvyf8TuvVE*XYuMox)Z_v*#)gZ%D)h66{l z-?@o{X|?TMr^Y1j`rMK6R1;pYEISgy-P6q-rf7em@&%+`hfDF}djQ@kd2mSi!8+KT zaqHP^W!H&?wR%eZ;_VJzR;oh9C>KFz>RY_KXu3Y!~ zfdeCT;0sriDk$Frx7cj|oqgihMw9Bkpex}Dg-^`tWc3VqY=(A{>n`D%lNkYHJ#9mL z4dRO>rjPC;@`JRBQ<^AG?>QBBzIr|zKYjJ#Z^R9a;a9tY&PK zkfA>ec`%s0BURcVcH*;z@DTabEy}6;g1J=9amskk9$0wZh|fP!JmtM`h+2>LNOKp5 zHO7nm8^R1F@are1w{iyTb~57CCYEW{_p$mPKRj@HR(z#O8r>?bx766LcF3Pl$?q#z zUbQw5kK&g?)c%@k{lljFc_2MMW+O#2w0n-zT`+f20p=t3L+NnOg)=JlX<9$|eS6rGq5uY0(@p+knVen0@mSYfd=N|LJF{Q66<6INee6~0LyjBHdG6Nf z$}5DG{u6#$R)5H87?lwXb&Ft$W1`2iJ*t=C&9YnA@0(MeZW6bESc==!qo5N3$+}0* zJ>vUJ1&6s4sZ8RC;EPQ|ym|jD(J7T75ZJQH^1A72IIZ9S7EE98XPDEyj0i0NJd8g) zTcsl^_racl$FhZcu&rFs;s@%$7pd_EbQwI{b|tp!0f!lQv~#d?D7n`IIy5Zp!ZiIR zDVezPY7QEl?6>rml$HNL^I+)YyEF+f^&M;Au7vzTb~W}FI(0|zLGr_h!FkjTrpkVX zZ{smk{b2FN#5_8ui%}P$n<=FRusWiCBn7%H9*Ru^&kllcBhvDTM}KqVK-7lj?OQb6 zROLN_ddvzAQ|0QyRGFzd|F`!en{{RAv_X{!VMO}nW~NvR?*~Ef2cCMK;2L#=#@cbYueA8qQ-AtYd;1Z;yh<4AOUpDU!cS`^ zwdSc|x%qoT`!w|HFCJm>45JP62xy7S7PllSV*w`N@au3Kda3Ki6n_VKe4LW;%tZJ$ z`-#tcq!&2%GwUmymE*#;bpu(l zAeFh}1xm8_zZUbnFCI94^&ib5RIBt<>uMTDA?KI0;@aJAGBh|?cTNcqL9V!0dHYb`{M`=d; zgqs1hp_;ERXfPc$Em3iy8acouxoF^HE}}u!Zr{#Sqi3oFSl4C% zEet~Jlf9z!>!SW?t64G=D>Hq5Ii9(cS&V+Z&?NuDt@1>Zl+v9C0XddN3V18(y$Ru6 zQNQc=WtSc!w9yCW55rzQFutyIum4h#K>0S%>UYfO^HAoqS?Ql-!|}2}qs6xDrb91; zt35Uz%i(e~wQMRYy)Ath4N%JQ(*7 zEj`g6)7AI~lK5yTq@N)3Lu|Z!6E@J<%CxoGtVVipjhI6!@zGYcp=MnTAMm%l`*iBk z@_NI&VGtqY@vo}=Z|2yeFKhf!3CC{vW{-OC6j`|&mvbrA7n<%WYL#FJZH{+~eJn5k z_rn!Ci^txvTum5y8=$Aw0Z$rbH5XnPTS zmUAaAzINaVZxD6=)@7WB+cHe*J>t{jR(E|>;6ayxRpcE7L}mYj2hIo^WcxC)yXzxM z%syA~=C#m`HFtA`yfB#W)7VByutNw_;^g(46oxU6D}YZm^XCQmyI>?at0y{3q+9ZQ zVilW@d2KG@D=%dg@0Az~utH0cH?%uKi$%1a4JjaQ<;MF63|{t&TlN*FHA~$kh_k`j z!SY((=ODq~m;coA`_xwOE@2K#odbi97q%{cmNgmst9G@eB&HeA-48qy39|ljjiSL1 zz=1p@fgH-gG}%z^@Vc56q<6LG{+0^s-;2K=eAXs8m6IkhiHUx`Eay@Aw`*5pJ-~^y z{A1Af^8;6&Mrcr*b9n->G-Zv4si4&Hl3eTd=E5F{zfaO*#NXyN+B%7?WQgl*sF%W% z2i+@Q;24zNFO+o4Q&A$<2oh!|*ea(@?nXnV5x@Z2{^Lu#rvlC#SwDTG-B+cmjcsaR za7$QP>y8I=%sI-gm=d3LwKT(at!i5KCOja6vQx!L<@t;Pjdnw>2Q9eF9BCL^|Eq%m zM1v4Hp9S)WBNr7F!b_&z70a>69L*IvFdJ<}3YL`C!dZw7t9Ixe+u=Z~;D;T1& z%~!v0AosxmcGL8(7O2+kLB%l^mMcEc*`_a?oz!&bcYn`GdHq6P#s9&*egD|^ye++b zTSBcENcSGQMXfHsz~6W2ozVqR! zkKPG!zncp3+}VHG944h$PE2Zi>%o$W@e3KT+LTGWX}z0Wo=foz!vntNMBh7s;G9Er z=$uirY&v%-N>lWV>1Ayb2(AV(St*||c5L17AKqIgXniO&ry#-YL8;qi&BPp&bYA^0 zppu&)$G(`H4iZ#@YQKt~8F=s}C-ZcAeUO2$0V@7_#I9c|Q(hhunZx27WQqv$tnBsP zUXr?xdEv{&mo+Iq{!fun(5vhri^(- zkAvZ9wxfExwv&HK-9qCVJBq`V=A}J?^hr?Z?t_w#&yrv1cTbyZ6??nPRY}u5>qjGs z6JD6KS}$f@dP0NI%l0I~{!i}E#G~y>=ab=LvhkznqkEZf*V-7zRr#RziZ67ky0e-X zIflP5$uT>o5b@aIlFUYX+0Kjqmaf}xI3$NLr@WT!v-j1Fr3|HZ>Ud@Pz5CG-qFbuj zAI~gt%&IfSc3-8|VIC`(aOQZJQ+b(B_FAXPZjQ!;>xT6@1kH~PR<+4^&A7YUtsP0< z&>Xm$F7(S@pcxM-nZlzLgv*RCr5lSwXT$k$<9k*$st1%K`HuM8q!K&jx8miwu()br zHuTw{j4|9qwUl$VE7^ELH&wSrO=U)Cw`5uOUiS(~=UzC|2Jcc`lj&34bep9cOXknw zx%pl%@yb-A0%JF<_f;32))_lRpDiC-B=lC2n~b~i0ud=7b;Be~~>cIhQv#~YSBJk7)uVjRsD;dP#Y zC1nGTv5{F3K7O6G4FKQi*2g{;v1A1~+oXQmSv#4rTVR~lXe~+HEj43GjdsrifGUy~ zt%~PRzzRk(m8KUXWa4mDQI{_peTsN~rLnE2zT9mR<}+lMrB$eGd?RWlpBSU1BaPI1 z_$Zh${BR`5eNs~=6&XcXP~WZbNSc!0o^*S9d3jV%gCod+x>RylDA~_luR6QxJJxV> zjDbv<&U)9Is5I;!gk zb=-aP(mX^^XCe_5-NeZ=9+t0RA{B9m95pTrdVz&=TVL4t%UdgK{WgQrF{FJZ4;(ao zw$(fEu%f%V^!@O6Try>HukoHOX51)K4_jz-g>;rl5}mQaLv|^P5$^hE=h6l#gR}Z2 z#`nohb7mP`;m(d8PfI-iH+gyhXl^%ZRMh5uq?Aw2miXFi)>EB9YjRhOnJ{1`4a}#R z+#4Tm?O{fkv>m&@Tjk@|b7F5UT5IsuY5AmxGWYe@AF8Cx8@QgA!qk;cIZAUn*RdQ^Y|c=-&}k6Wx(t+^lYAQ20i>-$>`%S{6>u^loEpX5BnW_Zqybsslq)Nap?I=mNN}FqP zB-P7wC?vi!ieH9XP>@i3-TW+@rcbDWd(72%v6Bc zg*Hu&;>l#9CLJR#ryX8E=b1*1s-l{OY>_l>A+|md^%X6gO6CB3oNQd|&!!92xB zfOyN6>-fVp-qBVBx%0hYa))XbBfR1f)8;;}PcWputnm*77}dl>Dnccd0;bWWanHK>??e)MQ`xC2} z531MNu~cA`uZXhDSs+bv-g+c|UAmZZG;-#aYhspNU_C)R5*DMUdyfh0-gQRDubxtz zmbR%8Q_r`X<;})fVfc9p@-kKwSQ$s=np*x8zP)ZPATzAN(LaK0XKzW6%B(+fRvPNa z%%k};D(>rg#>?5VPx`JYMLeTJkI2=OUHatC*E6= z$bj;ZEVTJuXkdLiG%ggfMr7wXV;rF`hP+N0dI!0L+;|eWOxkU0c^*`^Aldn$vwT$k z?sHW26V}8Y$k5&?k56i3PPG*5u77`>v@DlizwETj^L{9_QiNY@5kHAi_e%qGn;y01 zKKLcm2Kjp3oMw>4hORF0Y)GLlipQ^ z+d`a~*P?&n+j~rY>|m;HQs0v|TrasXy^S+fB@Qhkvy`wJdmsqYJWP_y8B%cKvTChp z$UEK)@2gwDwnByYD4jmMl@v6{mz*$Z(2vUJFoQa3yk9(Td$mZvCXFwNb>3pd{g}V% z{Au+_#iKPslUft2duhH^TGk$Yaj&9HT-~{8?||D?42Z4HwCpP<>8mJ<1^$_OQ=i7h zw+R*NpHp+bVfPK9o-Ov4IjI?Y@sW8i8;dkq;AD_1Ww7_wC$_cc7a#KMBxk}GI4XMjQJl+RVGiL`Oul>(fdAa)F>wmomTa+=*`j< zdVaLBG>u&GqkG8TV!*}u^`?o~p+}yF&jkqi@$WdXXyKP=R>L3L?6$@CM@>4i{Di5a zdGYDb2@I-Xj*VT!F>1*3TM?D6gJapv%6_(^Mtgv&WMB%n+-cV1K&Gtr8s&;pMka7v zQ^AJwm)%f+(E4WgCe^{%j{sa)ve-Qfb5WYKrdJx*3+c9^jSaXso8FMSk6APkbg&`81q#8P&Ny;L;RYYevEFmd= zP39=JRu`>izB*D6G_dc7yfa2;v|cRRXZgY5MS6mo;v$w&~!9Y$v8fQP6(_|y+XMyJj zv>KSH_5ILRLhOA3*1TT|av3kg#J?DY^t}jtM8sA18`m?TsYJOpG?YGQMH7WO5lK~9 zxz*XQvRB4rrW$`fj&SuZx>yT73ELW;43Z$^xXr{h{@j2aj}Ee@v!%83CGM<7CXmwJ zOMD*WoAqWkZX;X^q3Wp~j(ZNSZpDdnGkh!32dp~kFbSzdg;+gF$jUcyk5G=h(w6ju zEgO)!`;;SYORy#A+`TLeN`4&pwTi;O3`v%>ju zV*?rnA^21PMuAaXP0~##>N~;V#n$@hFsK#-6`nJ3>qYP*!1E371^^$iK|Cs1kCYFG zlSKG>SS2ZtyH}8QoISRQfaQv&XbIyW4&D9386E)j5RVg?%`#3P{ha`Qpv&*wh(e!M z(SxAim|__Rw^=Vgd)Vd_DkPI!*`Pl(yz&i^IXrB!#i|0X8FY_%q9;-R!fkTq%#^4E zys&yE58Yz_u2Y3wqNx%Zfi^A4BeHezaRUxS)%OM8zttQqjQZf0NtU;f!N=0hUJ795 zohxSvNil@hingCd^rDAl2Cr%5h#X=(j|yQVEZCdwyaIfmR@2O={4;zjS?liU;hR9O zc=}Zn;5eDG4w+4t(qxF0A4{p`=`{%}TGy1pcLlB%7WI{{8O3JYfdt9)=PiZ2+8wfg93{sLpXi)Mv<`g`7c~nnkZV8Ak7v7x{K$ zd1(g*dq6i%53T#X($0`O?L9W|aY1vJ+pp!t8!4Rlvs7VP4G#5W-P)MnQrK^BRCcQh z5TGJr)Vt48H|vbEDNVY=B~bXR;W2AH`8)JsHT=3{^M0ce$(@fFCGnx7aU*)>{Ds{7 zAZxa4T6W{JP|DJrBOC~|8Om3_@vqJB;*M|TKQ3Hxz&KDKaS~q~&X=;j4Rr!M86CrK zGWE{_j2HSJTk}hR!R4b&=xD)`z}hyJTp#M)@CBgjHJ%ffpHG z$_#XO-ivF026V9JttJ1`z@`3*Bhahc=K@CG2jgVROqUMOI&2JXPrA+8{m=WR z$SuY%-6iHBB4WtSv}0gXSkGj)Xv9*Ioa+HyOZWO4fH>>yuds+}vK~qj)hM&MLB9;X z>ZVOUe-7mOIU6EAj*RbSqU57gGQzSmNA;T+ z`W^ij$~gHi*0V-MY)|cdFEZ{dB*z>uRXmVN|0U(b#C8auFU322O`8vCiHowgXhqQ< z;Z02M?w+>Unw;Y9nu3gnODHIU0p+sWJuRD_;KD*qQa#BFSmbraA!pv+IIFj7DoRvq zuqJLpPg&h#cxRIRoj;jwR=F>*DYqS7`>@F9f018GGv&VL9@WZ-2rA8Le6$V|yY3C&u2Z8$^j{sLvdeV?6@gG^idpb`o<-(kU+0G$DQX z_pc|1*(}EC0hgN>>hiXXI6UZ}S6bigw*XdaA+-Y@ZU7VgtY-H&aHZa6XoP;2Lj`1t z>@;8`pOu>gUx*A5DA(z1OD3KD(Dl~$jpl-hcJI?qudj8F5j3YAH338=)iqsUt+FZ# z0c=nhfR_v%4v0%UKEu!p;R3Dd6X2Cqt|V+N5jEO(VA>GYHBkxUk+ z@veCmRe>QJ<5@yXfITzhcnwsA|~>kL>j729w;K0 zrvEl=4QTf8q1*e$sjr*7C_H}bWL(zRnzlll`1P)BbA6AgtEHI7^`Lf~^I;Ds#9kIa z(OM+K9bPRc$t25)rXfzE(fG>xt zXw_sQX1SrDq;_kOJcO%NLuP1GZzKq>VzEA~=p6TjD6WThXJYOylZ`d^)ETyKbu^&b z1miv+Wm<+_&J2L8WZs|W>5vhoE~(&L4v9ZhrCqh84?WQK)#IR=uP`Y0F;G1Vs&>?u zU?+Ds8gn69-b1Y$zk;%tn_J8ghf$_xhSl(gmYtYW#P}W7C z(D=1{iiZWE8(&Bct1xqQtJ64f-g4!!Mt5$cl1zC2ph5*VISw2Usp+!Y<)L{q3mSK; z&FFG5ejvOe@VG@OFw&D;;8td841m$^y_k~s08;si6-hS%hA%?X*oLp9^WxMz`kHGm zF|V8J_hq$R`eeDuquAFw=Wj=Xe+-Hoc<^nml*HbCF|l*+TiMRi;on;}{}o34^Q6jE z`2F)O353+gxW-DT3W~#~8v<@{6>FUhCG!u)V=q5RPmZSsLs@q_`G&m}h7( zrzAICL@f=3Ukvov`J`a70*r8^heog5Ij&jq=uQG1m*rUA!bj{X#RmG<tMOo zei=ZDs)DvYdC-YE!MkWgEn!@o866^`AaQ!Qgv!Hw6iLJiXKOF6jb)Zjle1eS@wu+VLuq3E2+?Be`w7&L-#EC>i%&eRM><0Kh7vrI7?OT z6LW9DnqfTtf`u4Q&78(zYc;7f8zhr6+hvYHx3%p8i$;fK!oOk84AG>=HNhO;dN}^Y zhP}LzJGv~f-@c(51~HxNEc-?Rz?VEObvr#!){EPi zq$h%e7y>lVKl7vG-WEI43$Ge5#c;Zfuwgpuo=OTIr@6t*EpbQhUE)QEs-USikk)U-z6aX0!T!RyLqGbie-6yvjDW5et4+ zLgvz?pSnrNRiEV2F{77c0=F1ByV@d_vKa=|GH|Lgwg#%a2-vjl#7Kwn;nH2;Ve00g zPtp4%j*qJhvz-nt8~TmsXo|UX#L4Nt0iNg2i@JEMX)4@Ve5mQ3-=p3}JA7s)quc$l zE|W%*onx`n!|M>?YBB5*c0^p_w3vsmxI;@oQ38Iri}8(o-m8T3$scngxQP;2$CU9u ztxg{T=k})ajWJS3CJ1 z{GwO*$FXInlfqX`>a(rB5fsK_X0BHJ9kDv+Mvk!q9AKUnG5qb%@ao*Lg&k^=l7r34 z+2U0X{M#UfpB++iW=LG5(aX!MMb+hRGWR+LfwWOpkh63HqB0cJBWYKV@D0{u@-F_c z=QHp9#cDwKfV>naNX+amR6P^ivzlJ5HptEVLGLo&o06rAh5@6jjG&?)kW55mUhL8! zM%fSyd$>!zd>m3MEf?rz+7u!dX1!n>1t|?xwV%eBtCiRr5VRNSfl+Ky@f~x5PDiZs zYSw4y)luAm!@`j0aH3q{oo|U-i!`=<9txOQ?C3?J7F$iAUh^vm*$$^T- zZb6i-l*>ckswo%yI`%WtJp}Yd!^hMd1-b1X2A>)aw$`|Qw9&@2$3>6_T?hU8bAz1{ zF1W58g*YYJqL0#Oju~z~|5F-nxc?|Vv~5-bzH78-UKwoU_w{uu?@^XF@a6+S$gzSTSi&tAEf}(O*P%pvE$Fp_kDLLIt z>3EaCdtWSsPTj82b_ONo1C-Ti0|q3(y`e*I;8{8^tn)jry}G;%i3zbGT%iI#@Fo;m zm$LMSPqem^>w2HWd4IVw13O`*vV8-LS)Z_d~pU(X^gv% zr>QxT{7%Q9dt~M%oQ|piU-M$$7g=* zGZOY2&BpKXg?-Dguv+n!N5Q!R_g;;t-|M&JT0@@>hFxKZFKzA0?lm!aP{sQOEnj?8 z3}inLG-TibuTtxdg|7TQEA5|K2W# zzhCa2ZH&o1wDm?Ys|8#Z(gfrT{mGUIZ57oS4{pC9PDIBwIuJRLfV}mQLc5Vj&U#tq z_^+n?u72s<{y00~_)m@fnS{8O&7wkK8`&;W6IZ%#d4s15E+R}ik!*Y=#85R9ZUTr! z&01TDgAg4A(`?$k&$~~E**)Da)b{l!iHs2NbcO$^Ilrd<=+G+ zsKw?A$K(vcObde0?pFD(plTz~W<3B=yS0W#?k}f`nzC`DF(*@8Zy-WEY zpsNgp)f$=b>s%#Oe5;Q5lC|pDcN%j%Jg}mo*cbq?$?mnc{QU?S#zv6sLGIJ zu8;|WXtgvqpBaH(NCy%@!EuIKr`=9kY4-cCm;yG{r)rSb!8lCQZ`nHOUz7lvTBecM zUv138`hhF0+=8^dBh^~9b-VGKtD=prYSR45=$q^<5utJ}c&Dx@-;-_7Z@tMa{xRsL z+Y}>-j`c`T)uRG5NQ&BnmQnPB{V=d=jh)ks9cNW4w?-aeD<8LP-pW8U#>LBiX^GiV zy)KyelS3KS<^0G6zXQLGQ+3_Lr?{iLCmKbNQ|Of8eytbbJC+%@g5TZ=Az%PE6kFD> zbVo{0j`JEv9|nio1G+RzTNO3=UcQ8E@|prX6lID5t?-fE81XXe8FD|$v`sFYAWj24 zIjpK%G~!*aDp~Z_ySw(N6644Vrv4$}kI&SqQ-=DwYjtKk47@^6Jq>li{A0Zh<}5qV@6NC@ele70F)j+s{BO47!`m?k9$R?gma zbkuza?J650Bpuq1Nh7F-+w2nB8Mt=3G>vql#glkGl9W4)2x)I=cd#*?JNV(Nv}woq zl;)T}3HWmY)*ctX&YD!IK?ii?pHKF?*0Kf}i=E+aY>GN|V1MmBpFR*qk_8$}HgHSC z7pP)*n@~Q-Z1S-^XS@tYO|2#l8l^+Dso2$3M`ly*& zYFcb&y$;0SGzq&l*SlkaiTLZzj_P&i?lI24FAR3jiS4#?f0SYyvr3Q_m3h*Gf`s$hh->mOce!pgLjOD?oQAw*zccTS9@oa` z$j!ZRY9mPc_5&@Ked~o0`Dj^g*utWaY$5k_W&dKwyK`+?x`8?liQS&`+RN1%cj+JC283sUp;FQxU9QI)Hm(_N*uuMu7=PQ0I^^1rxfZ6ILVfvkBd z?)`jzH&}VFL!4d$onpW)kZz;{6?$|JQEEU>shIKv|F2)KcchQcSj(e8jyt$v1AbXM z(Zk95$FsdAN&sxe@cxCGO{E*wJ5I>>ngW2wSZW3?Lo+>#z$L;d{Pu&^OgR`KI ztK&=b^oBK%npxspE;RGav8@J&idHrpq>O;EHC zbFe$^+>O5AEA+U|%RN*wu5mSO_6H9am*NX3UROC@4#a~ZAl*Hn{RUxQxeJ8TD?7wTf#-?@e z4G5rMdn46E@yg>k%QBb|&BmhJ=J*awzD9n~0DVJOQBxReHh?{wS|0Cb)JH`oVPvpt zz{QXYeOsdMIx22zNe+0}pX{#cC0=34nS>LLrUTTU2wGG}O37S2^j$B+H^BcLp!o#*maQhioF?M;6t_zTygS&;!?jpr zhP0FK&*vSz9qnL!xE~}Jq1AlRz-Ygs$;|gtsT4S@3|N)p^`31;y5sv75jTnwZ;i8k zp@|+^mhlZ=z}Fd9{eJEu0;8zzl}{wjNx~wn+Vs_+9_jn$YAZ%+JI;0Yc6_)~+YbfT zsaFu7P1nL*g;dFC#FRjvLrI_SI?HDuuVlq&lYg>`T`HXLZ|JJ+UA4>Di)0(L5(DT# z08M>lR|}hlL}%iS&(myTzG_L|{oz7E8a74*Y(AX}U;R6W;ySBJ<^;Ic;1o~Di%V49 z5muj*>x;Lb)JU%!)DN=Cp(*{RR%&^F{uEWE(rB}(_IQ8qh z`ml*O1qc7{R=f(9LrPY-x zVbv6npxE}M`6?~$*x3xcaOts}6Sh9}Hrq||0O4J<)XUR(3?Xou?M!;CtcMAt0gL&2 z=b>}oL9G=7;d!(2oc7;G))`9QeIj4|xyXem^$}PyS)WN(iXGz!`P+N9I+cN@&v$a- zOZ1cP7uPQh|3i}hB0VD{T0oG5aCv%P4tF|4=b*qv&tNUUUyBNv8jk;) z3b~ESH3mM_UVN-2y>f(CBVAT=Yy!4cbK8dU=h#H)yOXKpIO=hHhB2_=6toF?ub!4qD${*S@->=F4{176=oRY9LRQNQm1jfxjr4F$ zmGk)vfjw|fmud^oRfl3gDfX%swyjv5jl33B?M1J;jc+N5a$v0k)>`Gtu+DVv?Zv&0 zD(Z%hmy+$!Litf&T~(XN=J-HI8P2UCW@`dS_slJ-MRMz)TEBYmWy?QvpPO~Oo*8u4 zawxZPFYP)-&Tbm4c&=!g7!KDjg;=UPR2yA>n#8VX{e9(^VlSyj#)r&sWGYs7;+!Y3 z7l+@GQ1-3dbf%GbS#j`G%(!J3e|PYriI$gDY-q!ht*6%vR58Haj~jZ_CwBt;CCv0o zQG090`lLeHe`D7y9GO;>+a40?Z(=a}rF)W|fRT&V{VeF@7JmYnP9AW?wRQ8IaAFQ$ zfd}?>bb-1W9mN10J54DzG@5jBP;bJ?cv=D5;a-cpxP{qgY+p$(L8Ut?%h6sA)A8b>uP5kYScL6?2<)n)y3@;!>RXlT2m0mtto z9}VU|2!G<3t>9A`bK}47bB2wT7`VEmpKz4f@Ln#8YKj<+haPnUxaj&=8Todx8X}jp z&PU&rlbwvIyBIRw%F8qqypYRF5C{NMc!w88)#rjw{HKnKZKCHvJE{#A^c@6q!?r5X z_QjO_&5uj$-|1BqYdsNkQO*uK8(*z3RuEaV0W&w(%zE;P&kcIz2~2&sQKjmE$yCIn zOtHhN1y+iURKA|}s?j5(=_X-znSHhUJT}US&qBGlX%=P9HcXjhBQ2P+oRoxAg*s_AxEbc{FBhqCE|)7Q&a*fC2V(RN#*JFG`)iDhL? zX|6_iebO26mC&qxR^U~VdL=e{+o3ir(dk?uE()kK5z>dmT>{H2xY;(Omm#|HpOtyk zJac)Oi`@-cHxLUd)o2TK?|vKdsc+~{VCrL;&ER(76jWDs+odPRJ|>&VhC3}SimM+j zL}ZQqbIwIz_%W;v!q`Tv|HTaXBT+$jA3&z=I!Oz!Gkn%Rn5uzoN^?=uayl zrr1ryVu`1%-ny))(;-jpt%H-|Tjg`VSDsbWBAFM(!=PmQ{BVUcu%Mk~h#`$5W#MHe6B3Hjs?20N2{LI;m}oCgCd`R9 z08^DhXmCL0akF3`sa{pQ(^g?WQdVsl0Grqub6wnm%QRUhM44x(O>tm|7ko;!FY9b% zSGj@7vSO$<@?swX=i!^-%tnq{OY^UuBwxoU#T}#S+CP{x(8gAOSmh3il*CnMTj`8B zowF8hUQl2pJM!5srfYUrQ(Kg}mV&%0`OsIwwjP3XfcXQ$wPi}IE;Tx%jhKGHRu!z@ ze?sirO39(S;hzsI*gT4T)g^bgnyL0eYr+KUnT7MJ5#KA!u-NCx-1E$#_0}W1YLkAb z_d{UA&6cZwgGJq7fUwAFe(>QpKnX7qU9XODNt1p>8N;#E z9?vV~9FL?NRMzTDNUn?ka71{{Va#a*PEexAbM~6OTm+dBUIbMm8%eC&!hq8t8r3&r zi(fUU10SMB^`W2Xt#`uRT5DpQb+k#>zrrb-D7UY}|)TD!o@}`qXQ&K&u#l@;r ztpOO92Yad)CQh%bDkXDZcZT8-2-36Bd*KIOZn4bjHyn=bhK*|Lmbko3$1Z6SWZB~D zGL=?fD@R^2ySyH=u~naPxJ%QvxTKR)0uwO4V*c9v{xGz9!MV|k)Af;`BVIv`=_2}W)nDx^?59Wu7sTG=fQ7476ZWvc3~&Q{l&1ZGe1Sj3TuaW4#?;eJMI64R(REakA=*4sER&=L#d%X7A}w9=$|9tn zGy$ZigrHGnL$dXB7Gi+|)^O6YIdV@MTj-`5X|NmC)JD!2$@`J7s6!ZWep9P^_D}u^ z^5f{q96O&|xzNCS0scPR%+fQf@;A4e_S!(Q`g2Oe)Hhe!PGS3%J6oBH;0BzbuqWb6 zIgo%TbfU@XUPkaG9o$N+Ham<{ubx9iiP)8*AG@5w$X#)5!QN!>H`O-iN+n}|Z(a{j z{$Q#uZU2_YfE?>T2pNBI)2R_Q@;x-7ZvOT| z9A^e{7tKJ>k^5hel#xEh4AkLFs3s2$+9jA0bZU#i>Vvf%pJj(rI9o?65LD zb3B%aROIUrzU^U;;@Bh+WU7cQ=!mJfM%tek#i(I#*Kk$)Et}byP+ZqBjSjKqFYuEm z!=ofIU6S6SCo%RZVj3KnmJn$9tMVMcr*N4O{9XP4P-2hXYbBoZA=$g0uul$GCiiQn z*c(w(_TQnxBYcvXXvm3BF{Xi}kDHWAjZ_0c^g@QhbEZP2lzg$R;pF4CG3ZBk%=&IJY9u5!ULgLG6IpK!J5~oT;z=xf2NlhLgA8FEa`IIB z!y_I+*Jf1KRE0C8Twk7m7g>XT*B#)Cx?K_+kV~~57j>I_qN+g$Obfx@uA80;0l02K zXXwB^jpST7aB2oP&;b}nOTby0>ir=-Gmcp-4+NO*!-cQdgI=$~v2=hPTGq#a`76uY zJzTX-0L0M~O+(eJObT%xW?v1YwK---L1J+omNj3HzhrFt(8^dLcR>i~)mvxk;K_a4 zlBS~A*JZ%i$26@ixXn+jtB1YD9)&sM-!=flW*qqS!DSppB~5 zgH@RqM>YNs?1t3fcOGXR_hH8t%a@ty4y;(UQI9;i6?d`XP$$cEgbvyW0S%xbi|LVz zJRrYAv(P*<=(fvZ`tc^JbF!9veke>$^>~J%{FltbzlINNmFNBgV1D+;cS{WLw!1h~E9o9MAunC9bT`1{okph;C0%&l7BgNW>Ba2+<-oA~% z))|)6E^84@h2;Ve`t0LRCHHG!PmOjuG<%+MTA|sh zmK811N=jJ6ZlHLgWZ@h0xSo@)emcWmvZ7UK?^gnN%$U@gz_KXaAEol0vVpA(h2P;I zrHhfYFEToA@Ugk%A})M>7)WSh-_ej)EUqy4ntHUux21+cW{NSR4?I$Z+9QpA5{Ou! z+Vsz}4wCyFYk|!MUWygaXb$YnJIpi>e3AqhkxK5J$++kZy2j4h?vD>#7B87+i|BpS@)n^F}o3Bnw9IRIlw^3M`< z2nsrl-fu!+){NT(WJJ(KjuvuYr3UtKAqTmfY9hTm8`KQ(_&GiRy0?XFC#Id8#1}W`Tp?E-t5#=Qdk|xz(%0BLGz1Ca$tB0!~Op zP_d`-0_;}8fmB5|L0G((H1RFASpZq)xuxE0oTmF9A+*aXBo7N@;yv`byOQOk&*uOd z2s?*6E6$8HQk31{YMp?n`s6gGERZWZU8@{ktkcNpHhzBGL=|HY0_>i^Rx{g=EUO1H z#PYl};zogL@6A<4Gk^Y44)4@BN)LVj3iP#bK2sC8L$ds~J1^V0sDCLN^dVXN6(_QU zkrNB3e+=^D&&X^TxW3JE`PJR0OM!m8BmsFewo%hSxh~Tqt;I2)P6WSQD}RcwODE*|pcP^)B)zxxFY@}IhFE-3^AO>) zo41pxX1OaoWrGY2yoN;|Q9nycaVAu3-ZXNDkuV(sbpM$Y1Oqio+SasyV>u(=J00$H zfD^)ymk{2OqfiOsy+uFJtF7~s8*qW;{$ruXIAO9b)311FNZE$4sROIzQ}sv-KswANf9MRoPmWY44i6laLWb z1Z3GylQh5Lp8~!uz?53cv>=cH%QaoQwaE&ZntKxwQSOM>q6h+6enQ)|bNl}koq0e~ z`ParT2#5#@1d5^tiu;m#W>$c^X@R2Ql7U<9p;=?r^aE7f%{?nET+`H2bIYs%_p-t= zvob@ovc_qwX&P%PU*G@k-*@?*bDsO0&(mJF7uxgbY6;D;iD#VqMpw7(*u&IAMiguO zSQ^e5rTwR4{hN@{PbVYk$Ks!PCB_<4KA?^6j&26$lvyMMe{(rLZFQ?j^X~@2U*KIG z$M=79xp3ehdR9WT3q(2=!IZqACG3N5E3{2pkVfz5QRduch<;DAja2G z#LRZoS7CKO_cVpd*Lmc=sI#RyY0J1&NB?g_+;fk*O%GIwZeiCEQS)h&>_e{`&HZEB zqb8;1C6Fg|XIdrpgK~RVI>fb?ybrBX3aBFNk`If)k6m1m*@25C!{QR~=b=cqhBGr8 z(-7(v-9BIQu>_6l-iWWGZa&?Vpjq6B3eS|k^^e52I({-l5;e>^G?J7%P8nhG$FRz? zCf~KfeXeLd=xfvt?0?m`JJuE%t7Y``(V3$)wdQ<1^5dk>(?=lfKBvP>`My`%72Cbz z?rJWeGDk~cT;ty!(f@VM`FaA1UCUvg(427Cb6MhY$otltW0Rpb{F)}v?|^Hwj3zti z$;Bp2noi@{w8V_x&-VVP;Mff&k#;1tT0ZZ_++Cv!yy^EBx5x(O`llg}sn04qU=awf zhf~i!rBG{kao-H;_;Hqt1g;O*vC0smK&r~hJWcpH#*40mn1r#8UN8dJ;!+{RjU`!8 ztMxL&FymRQr9$yCg3+j=vR27&fz9tSOT+@2# zfoS5HM@q|9_=9)fb-<&X9m)FoOFlaU3lf7%(&Cs~=I~B^c9Orbn=Fdwb))^i+c&|t zrd>OMy`2v#POQl+Vmc;gaCGPH67_L>>@py zyIk3LX%#Su(%M(hk-uzKDA^tp_>p@Hr5bWk2R@?6$nZZIf9Sr=7R81fwQv~;#j2WB z&~Nc{!jq9^O`9GWJ?%HNs617*e~~O#@Qoz?uFRBo)q$IQ&`!n|W5zs93R~o<%7UpE z{M^S|`x2@6vJyz2gj0X-369$z6^D97+S<0X5@3_&dBF2~x-waa7xm}ro%;~cJ}9)s zo}SgcXs2gJ+u?KiRZYKkH9YvwE}OoRsnEx&YjLPe^~2jbv|nicj~Vt^3B;a%>a&1) zD%08Crfw&9%LPt)cwJ|+%Q3#;C1UZhk)w`d7wZ4{c6%Z4#0mC^Km5bY!Y4QGTCDdZ z=BMoW!+{qy2^mIzYE;}0VSpQ%;Fkgn^ZV=L$IpH%f9#^HH@;EMREg=jkMC%{y!&Ad zD?YbWG>+&er9fiAK0LbJPSeX#=Ys{mPPl9plXnzNqdpw*w`sX-^y=-o3mmO!%>498 zv1GcH&)d8_aQz)V6=FF{4O2pQ&eW7fX9XfWjc2N@KfQVO|5j6P{S zuljfe?DNbo46!KbE@QWHEH(b|akM`pt1?NsvTAevvi#~UkFV4Cf$$uy9j}+CjKUhd z7HwmYI;KW4R&fX>0*4Q1E~BK3rI%kHXNY~39PUqS*ax*+TptWOvBfFurRdlnK}`s& zuva{X;H1@~%;}fKAzhD}QB8Qu1IxQNU%j~iwgtD9-|nQbG|^S#-!@xj7$rA{dtOBq z^eLY8ZW~WsWjg?!nNkpwh;&8X0cj51D3(MK6(lul_)HrsS{-=!$IcjuDI zb8UFl;w41d5Xe{`b9s_El3R$$DvOX{?@2lr%ssS>YHa9v2j@sqj0410FlXLCI{N1)|x66DQFAsh&Lzj6yk2h!BG(*#r-nq8j z2;3{FZ}%LTeA`x1yc(nJ=JB4uZP zj;NTo7rrtZ%cn|DOu-Fmy1rgO*la`@mf2_Q8_qiHm6&3Ce%pmvw_LZ13HQUiF86ch z&k08Eb;d-dU*uriFs?E(DR|F-oC`(-&+*E#>}GP^lGM({y}4_U_Nm)H@ zuQWp))fw|8_QEOi{edK3w}>bsj* zqyD=i+%dX+Im&OxRJ)uc$a=DG&-Hq@Onndg3tewd&4P0sS7n!hA^YO| za=jkw6_8vJ=3*&sMUsu_2-0f$J%*6PyIT@}*|xM$rtOhFR{sC;Xp0|;m`XRgQlVo0 z)0fQj&or22Xa$*&3z35C&Ft)Yzjp3kRpv0If>e-dp``imf5jL5KRZ>n^RfQJ?*Euv zM|zX4co+L``dr9xqcA0^-?#jBHC$Wp{k!JO*2;-aAwG@4HNSpO^e5YBYo@N8vy_YP zpa&tj)^&(0-WS(>Hw?6m+WA24iF{L!6oT`R(B^JPNR-i0dj^v3_s-65+fAF@360Hk z&5&39UfiPOl0SZLc)YA1n);v;scO><-^+sy>{<3z=A0qj+nH0Y6EtaisjZt(WP-8F zE2@u(>QW!We#tFLYTr!=i14;BEK6+h_c|DQ4nI2UHAWTST|dntFK`N@TWHC znr%jVxi$D4*-1A)eZ0V{y%c3yGG)u+sisQ6Sfv{Vk(*qPEpAI1N=)e{EubI{*&zIn z7Hy{6e_#D)}%y2(ha&8LYd}HkFj%z8cEK%!1`PLUn zCBMbw83vD#1(&n>2rHfLi4dE8Mulhm|8<=@t>K7>{^5~P9IRd7J5xW-JA-S|I)wk) zeP1=$WZ>O@3(SSzte&rr@7Z{d+Ux(mqLah@-{`pqyZ&y{DAa8@1YxPcZvFT2uL#Y| z&&(x+(Z8s3f(9aPZ^3x-Q(AXRekA!M5&8zNRaq_Woj_ZIeK!m_24>dpEDw`5)v%FM&@Tr+_KPyRU zDneB&FxiYa%@44@-Rr^8!@LN((rB0)9AvTPRj-$DWXpxz>_eaF+KGVz@Tt7&QUeiL zJEHCPp6RF`56)fq_NP&02W$VWfxX+3e3cKy)E!P+$kSO(?X%Dseo5c%VepAXV>m{F zXXann^bZLyezY`E`a9CAnP+J8-SE+A%ol`xJBcw>IKeq^^fn@UX0MBqcJFy8)U}EF zawB;(3_)28s(NIh|I#Zjyqr`YzUJi_r$24<;4!SOx#Z4A=9q)HWCz|Nes9#^sHia{ zu-_*0NI!hMevY9g5k#Q4LvRnTPUbm3SCz=bb*> z1rVs(4Q$#eVW`t4>6;Sm&REU=^|9 zuXsa0L5p80qNCG1Zl^^h4P7-|{hjX|l%l%34S)AS4c7$GZ(j7}S=Nz~(t!cfBLtW< zw>p=LysnSgDlAlGq7unPf9*i!PPSk&g*>gR4g5=K-kLAH9RBk*tc!QpNa{2mE_Zk% z?!`)EZwS}Eb?W24524D`A4LdfoT)yc+w7@*J#!8Z=#JJn)d_BXDT!Ybx=R#tE81M3 z{6VCfh~!Dm9VtDBgBxTk(0G3C1Sk79yW3MVoaB4M9%27-q|osBZQ6H0nNvQhq4T zs63l8Q2q+7GRHLBMSzBqvT2K*59c~yVS>BgYkjo_ee>`*I+^iZ_en6??}YAVW>+iU zge*9Nico#YRqJQyPy35R&pL+Cm-=?14A`*vE)iD?YR&;~9E#Ia&4UUX^)h{{RBbZ% z5=EcBH5=HQn*hCvkV{5uu+(m0s=pP>HOG;2c2^xCV@VU7U%XUpwX{~elIjrlxEB() zt1wPIkZJPW8p_QjMaCk-OkgPz-HSh5T6PwMUvR!#ZWj&U{UeMsZA~`l=)xU&++4z8 z>oZ6GuDTEgbCh=xQ-$tX!dx36ZVv9{c4Js;@4h*BFk9*OEFmm0bBJVJZHC#(y7b}t z*yHy%rc%X!p6s_0?z!j%-%?_>iPQ?pg&Fg+Eu}V|93}5HcY|ukw$idt_J}I8>@a(v zmSbx)3~h+7ErmnQ-fTJ9aOdw%=w5-g%8Up2T;+!6gea)K>ED$dju#NEE%|NhQ+Kaa z?z__Rm2+3Vv%qQox_<}(Zibj?5ptan%AdNza=jWm!3n(E+yN10O*OhpX`JNMYbU}e zn)*-PJQ#vHx8r6wq4Sf@)g!!1&)HV2oxQh@YK}7vUo2{#)GGePR8uk&1P!Wv3=#j< z)3=^KbS#Px+9}Ez$$qt7U3_BrYlJs!NxfnKQATJ=P#xY_7MF3ryp|funnqFx%Fx@% zbA9jrIjBk;SmR{Ho(#7;-_12F_ZFL6jDt5{9-73*nciiTFZ}0b1Pr9Ae&PleU1|-(#?k5}Wp3Z+ZS@A1l=)iz_rVR~-Rc&E-Og<~PRZ{dk zT_w$&d4vj_+$;235&2ug?5trzUyW5H{mF!C*vf;)1OfF6d2(VqHW-;eL-_~fJFcjk zeA&6+Wq806rj%m*Q;W1rAbp^FpD4Zhnm0b{YG;34_tF>fk2TNGSQ;%ayJiS{amr!K z7edQ0>AL)kAzft`+3;y_-}kx4-6Yqie~T^@);+1dOIf>8n|mdeJrWM&#I4^Jc=^}!_Jt4B=nT0H4 z)fTfQKT2+3#=N|;%P)x7x&Fhf3tkMt`EP|3g}!b=1uGrqT>{~uOA?o-nmPAQ4o^PL zknb##$bI|cd!HE;v0)3t5Ys?- z>OeLcL^tF*83#VY0XZEsJLW2`k|XSe(rHv6jbsRfIr~kIF+%S5r$glVs+bl;LdX4j zmgp|{;EEY~;}Q7VfO<@kD{i%-gj;>q>!L2I@_&P+X%4Vu|0?glVdf@Vd)sHpYMQS*)4QgdgDt856Or}2{Uhn%U!A6Cr2|?KMeMaJ zq1D)f45d?V?&1cr?VW@MifrSR$T&r|!N9=-X=NcbBJ-n-m3OUm1%=}!7meVB0iU!l z7np>WTz3D|g}u2TTtV*>hK#7DEi=T_N+iI8L@%i#U>f z4sUDr_a-n9mSZ*`YUZ>gPEivnB~c?|+~nFTyxLN>VcSZ6{e8a!8I$9GTW$MQJ*#Ti zDi-?74MQgycXG)I>n-(8`9m2hvnJUI)iZfNU>_~)(F4*1SvH0cTIR5`sJk#0GjfC@ z**JQmh!uGDoA+gtMvDN``FEX{f4$%O@w0aCKrupM6|Fk>Q?mP?k~3fD?wg}U=35|} zHd7=y6pFO(tq)p|1BQ+>A&PNHx-^%~U&h^Z{Lu&|3c$W44LNV} z=Ks_Bh&T8#e8*{elU$yA#sP$7i}*j0hAE>XEKqPs*1eK8$99vmOxU}cT?xT@0XB8M zDrLSY7Ce{xoCV2#%()%40luY(OHIZYiYj*ABG%odlYAXW%rrkrWxqW0dvwv}e7)f# zE_%$NLabrEFCPr0@0=!S9*HgaObx%lEv&8A3Sz??z7^1S2F}a5H-f0p?ENL8`maY$be5^v2)0Ndq1H_8 zo=Ojx}DzhoaRdTQX*6T`ZLzx)`biAo5VMq z1~(Z|QXFl&*U9CvF%DdCT5MDM7$K}%_$656z$>d|H<)VmXaAA+ z;b6DX&EvZxa#<#}V}x*Dh04oa_pDPy#Q&-9ev;DGwo`nCBy+4CGh5woVXl_Ew+lJv z7yZ#U0Fi#p$)Y(^-Sm!Q-$dg51$D)V+IP;C*xd7pA4LB$-=h(ZgSTKa69voUqG`bX z=vDNGxI&-Gy!+Oj-rIQonND@sQ=#lZxYtsqN#uJ;Tt`1?C&4TJRB2umM~db zPjJ%gZ|cwI-aaBQ!q#BB<~3j0SKB4W{#(VLcK%Z*E&lqKq)_Bd&@-Uk`}lYFy%k4Qtx^KUWXiv;lbS>2 z78*|Cv9SZaHUg_p*g+$~*yT}XRaUeji`ALiX$x}fe8fwE`NDHH<^zNK^C$4@h+?g6 z=d;e;nq%(MPAx?%KWDB|q2n+9x4PpXXZ#mVCCquIwHC|gbcFvr6~F6W4kSuXg`9WI zT+(esfITOWJ72#|paN&M%3kZJ+pogTd{w<}+f6W9Kn2K*<~mY^-@d)~`u1!wsK^#l z`f!QuLf;y(E7S0IGuJ0=CRakw8892ok6xN4oY^cZPyS2hJ01Uks}i!|SeKTynJ&+z zmayyf@9tJ6j<$rIpvXxYQ7|n%^G_=nZSyY4VtiS*iWBcaYOR;j-J|X}T15#e+i3SLe5Rc(ic+zU-g=OB zy*|GyoWb_?Fa0p3;?O_SBFOqT$O)Th)KzzKY+B3kMye^9OFyf^UN+)>MkEIyJp1Qd z_LAd*uO+XTRXG`TT2$hnR;T?j8v}I@80}`ZuWR?Y+v5s)Z_6esT3_P0c7sA<{~zXp z{Bwxqkl@tiQBlLB$V11w`^;SM{|wJ_V?Rbu&)xp>IqP}pYIyeTh&RNm$w5KpH|NHJ zwui!>m&gK}URWEo-1_#;Z+oMCia++2*X)Q9!#A=V^O#?@#ph-EQ8mN1j!vPqd4*t~ zNGE1)5usOH9~L_vn^|b6*Ac6tVR^e{slYCu1$ISpnH%7Y%M}dp&ge?R2l!7-PhO`r ziywQq^{tO*@rT(qvj)3v%M9pBx@o>u+ux=myzlmKp?D3I%f23t@tN6Tou`LL7-m>MGUJOS}`v!kk#{ z{rV94{{fiO@*tda#A_|U6Iq3U^E?! zve(vb?qMRF{|o!4x9xCque zV&VR+k!A10E+4TCO!{8f>-5i~K&<^#qPtC0QMSip7TgZ$gcLp!W6k8zn&CGtDxSJ@ zy9|%1oWe9`VWl}oH#e6{8ibfziAx*EMbk#?14`f=FmyQS`GVb z5qBaD=VdAv*%fc96cZa>(I1WXv0d?H5)oT>ze)}ZY{Yn!MM;C|G%|F($38cdFrHcdij^I6Sj(%k;B_hWK;`pb+7hSXi@tbisHJ2-|Ik{pf15lNV{+xdZffvue&fNAz`uspH*j>{lt=pT~X&(k5GV5%KPi+!CySGZFfsojl|ue z|Bd`sM@aT^n?si7I4+axj$JdbaeiKSdc7V`&h+F(y?8ulq+Rv{#_=~-C8n&?30EZ= zerOnwj{x*p8;Uq(G8mX+p_3+9f?e?;|1Y-U8MN4kbwbmy-?mpaqvE$CKp2LA=;9#Y zd29kL^*W3!D0tP8^Jzv7;Cy4mPRv#py|@=|@Cus8oF2qV~95JI-R8>5Y@ zp%eZ01-yU>FEUvMTb=`esn;je*%2uw)GITT22z8J)(1Y8KyVLIRINx#fayTCRY<8y zxMGK?)4H3swT;kWLZ3Lrw=>&USHR(sp{Nv*ZVlOoYman^l?x?btP9yrk&s)}W2Dp+ zWyhgKWdFdEOKG6IZS!=M-%CcrNCH($_7Y*i%iUJH4H8-_hKbP|i`z43yJ9}lHQICC z@p35~w@0YvGz4?@piz?FsyqI2FBp{LADrOcbQozp@N?`aF-s$J$IN|^`^2BGR#=D6 zZ`Z!R>zZAe=X?P$pf$;Q7+Uz?cY`7=v$LRkj~S)ka`wDzk?BQZc3n+`Mw|TM6U6X` zf)2S7DoUJ2F*e*w_d6RK=B`yaNA##EF+FHuA*?pvG3yT<9;}7h5;1{Wnyy=y#{eh8lb4CBlV6Gd5+8=V{ z3mup4?qMRFp7Wm9|LU^>b@EzA9p>rdTj#PV$GZyI?ANR`s*{E5SHPkY@<=y}Mqc!6Oq*Cs^-Ww&S+3S2;3pNAtX8F#Vj)pS z$qZ1kUnU@igoemN?vnj!QJJ=Ekbc&M>!wQD6yS+H7-3I0h@}~H0tlTxX3g060&gosi?$4XV@0^3|bKW!Lp9kOj61d|^$ zo0n-K16DpsF^wRL8k$b0%yw0%EtZiPnUQrey)|LvBGjT$*tsK9`a8nhMd{jv@Zdi} zhp=G>YnfWyuz{Fw3*T@Z;rjCI4}?Uyee*uR^F8ED9tTCg+8MnSe1E^qM5xVX%xuYp zG?(x{YOr1<%$ubnM^(mC3YBklp}c08wdqQtc9y1Ouu;qNhl&zK(ujCN8+zIZ}qM`!vVOmD9rmx?%CLpQ%PAgj$%5U2?sMuqbse` zhaGU4=05<#L@i+CnT1VDA*hq5jh#nRB_dGab?~BnX$o^+8m1tKJ%6gJ}wkkb%<1H@voLw4itG$MKn!sUhLx9o| zqD+*`qFmGS0E4WvDJQtrJuS8aG`)1H0U*J=1;KE5U0(@E2dw8yD{%zFe5uT5QZj^Q zro*@TVzL#IiCmXii^1B2OozFt>>;|&4*)tR*alG|^|WYxk?N-_S*-HSr(`663O+TA zaU1;hcV^147dO#(yG6UL+t zPJCT}YPBMSvR$ol0ANo?tGl)UY+u694Dkq%((SS5s0y){qC0^mE&&@`v$CRH(jO42LmIXLnOXo~ z;6f0clbNr`)D=?4HJTYqh_c@ZQUI=cjbNC9rtHfn4pG5qnL5DNpP}h%NFw)1Nna#w zR$yR=s+J~EN8O9zTjgDO1Y?)+aNG4$!Or8Qc z!QTw*IPkw{h`aTr8_S|TL(d>42-I@qX(6~g1>b-F%<;Uo+Y^`&Ps8Zj6Anp zGT4E*${P^I3l2z|L08(PvjsWKA5gvl&-`EIrXx9u{@h#TckJm$#`hH7r3$4WfFeEe^5Nh~?@!Tyyp%lF$bnFCFr@+>@C!61A zQ9T_Eky@njnKXcedjee*zzI*_v3yMvx@MXsFeOkX(AC9sgH;K%#0;`7QDsp#KQ0tO z$i&l;Vxgmxt6B+do0A4|RqxCLnfhv!EsL%#rx}oxNHg@vTQYLuMy4r*>_P(N&& zp#!`a^r~c=n3~`yRE?!G-;edhHl%f^4gsED9dwUgz4qN!>nQI~za?_ussToun^yOS zDM}vO`A2ZI`pcRCAG0S0?UIoaaQt!($(jaPH9s*2o&&s;UVAI%CS|>DUr4L9ioEfe zDF;c($os-k(EZ_JnMXa3h&el+!Y;@S8<(xo7@ks2p5wq5n4Vjuj++W&#AHr3d?M2! zjYd)64Wcq}K3dQpd~E1fP(?RO?bko003_8J(^o?QW0$np|v)bQJ38q`7+a>%GsuvpK z^$f`@@SLqoeTc@C3edPfbqgWv3z$HX<%0PRKP03d0349$t_o}+0^-akW-8T?5U4}| zPl1)lod6IE80XT==9A^J8Nr3zPxad7& zGlCCuRV56cMrP`98PE=i31s}KTTeNK0(6i3?s29q*1fhda7!lx$`mU35DHTYX(_(f z9f;#jp$9N-`LPy{Bx||j8_#bBYAxXI7xt*g=2?!^5$jI5L%NdIJpIt|`$3OZHGcq? zGh8(li4VY3OD|VuoYY&@wXm#QuLf*Qh&D!2!%n-R33M3WQinxX9+2&%Qr`y25>+!b z`4R^b7&1d;)(OqhK-N>B?NcD@8M>jHgJA{e21Vwup3eN%O`f7N$(ark8EhR~O6Q{# z-_SfWU=?Jf1P}@(;8>~!M5_J+1SA4_iC^ImDJY81JdwF|vmEJAFTAEP9q76&@R@sD?q*>R-%638P3j#jsFrKA88FpwiXPcYx1{pP1p0+LCu$D5TDl!)exq9=1?TVa z%?TT_dtY19R@8fK4>?C(_|M|<&fot1ZM*LJ+1>eE2Xt?3-{>kyA!^9D-NH`-LF*KDWVcY zs>9v~2;*6RTAeF=MVc_6mYcIYmZ9T&w(1k4U$^7OU!w$ z=5syPE1>&6TGlLjq&MBtgsxW4H>FCf*hlqOX!@LECmIaQW@MHYbWIDY0f7#ZOY~S) z^{On=7)1cB`pfM^0(dP`01^uH6~f3AgWl}%-k5|Pebc}7A0c*aTTjs(NH~xhtC?i2 znNhCk?NaD6*q;rvKd=~ig`G#OrkkSSu-~oezkVZ5gu0zUmd~H`afv$Mrj8@QTL6et z#`{JcB7=2AK)q!pc~x~E{+fMMgl;nS)39d zF)H5mic!aHY`7R}q)LTv+wnrXj*ot)dyy3KzeM?!f84LQg=C+&PzF@hU0YxT z>VJ7!lzZ^*ym)XH#w1z}nK^*P7H-8`V>V;bd!&8_8o=C4K2$No4{2dY2`DOoVAlnk z21=AYks;T#pWHRfJP^$iiEq#Z`A`u#2C%SwopeV3;K}YfpNfd59jx-fu5SX^_G`OT z0QQQ*%J}x%XEtmH%i)z5R4W6n}=47UI}%cumQ6`WwH!pZuCvHyP%YUIA@uB?EJDU7Fm z*4<{hTBQwCh7I50F&=4gBO=?(t5tZ{sJ#xW87Ary=DVT0n{YJBZ;?6 z>#$?o-+qyjxO&p2?{lde{~R5&pR1?sPDrCumG!v*p2di+II)aRqWipWs9>G1F!T{z z>1sZgY&&_m)TQY?Atkp_n9sb5c}z6Ym~KAnbE@vOIj(rIL4)|+)g7PMqyMqWYK7{a z^{YpiV!{R1plY0`>G(6q(<>nU#w{mnNYF#=mh94NU)IL70oEsXb3K6HpuxsC^=XiR z^kr=~`3+bl{Wu^gQtxSrRA;~E^VI=2IrUt~SB55kSIqR?@>CG8c;UztuUV5NHjO%? z-SYul5~2a35-sE3|BH7E2aTayZs%neTRpN~Ms`G%MxV7?;JAV{zsh}xYNuBILZSQE z`^}%tj2_AKVaW5*#2)A8Q21QrwUu{0w9E!`0*e8LU*l{-vz5q-gnFm>l0-9G7Us{o zeHKQ;Xr=dZFT_*2E7(4(@%#tvX-3)P?f)Kps;t)6K_p-A7)u$~wLB4(%|+-pO__C1 zbt8^A_hje!CrWFkHY^@PlxzGJ((LjmZz*0STuDy^S%g;Uk>|;$hwJH)`$rP(!}C~; zp5{Mw{V$Q4;{NhXtXDBEOaJiYvZu)^4`)7fPFkf^Z33&bGmA6Q_Fe~?tAcvucTt=l z^1F7M>QT^z?F+#WEmDtl0VWL?;GFRpQ&uR$71IbfjX*O@6c_8D>#_C|>bB^`Y<~a% z_sbEc#a+O-M560{T`6fj3%)BiQGHN;m!lwM9Y6I3?P>xLl2dZGrqRsru1mWCiNNKH zvL=Thg|Et0oe5%%N~$P`4=N1)qHHEzk&#T+L}XUI>d#4c9e@G1l|%7;)oy0pYa+YG z4KPr-4l-&N6o#yGxBXnAl6&;22S%mfD_*2qY{|Ba)&#y%y1I_pv}%W35N|D*#Jf4v zsT^!^*L%)bbZIO^1?IYG$k6&bS%qrSqNJm3#H^@_qQPeq9y@&I&zwptB+xggb1Hf?+RbdgzDt8bjGsLG=bd8EDgXtcijmMM7_yYs!DcP?}V;lCp*Eb~}K z#)SRPER%dmF(a!!*Ooxu^5#!Ux+EdbsSCh~ry$1Lzg2v8IaVm?dW36o4t!e`QFK7O zMC6OzEl;5{G3iiXLP0Z>No<@u#aLxmcc{~v5@~=;ye1wFsQ>{EtR>{e&$w~28Tl#% z4Fr8uP&JVt^#lkAUli*`9O9u8SP|NP)Km568GM(`Vmd$wy7|=}5z1OpoBkjmnsNDe z(z(E%7AUD5lj*|-<2xR;I+_WTI!;AGVyu;%R@V@_S>QsQ*Cz1WLO3hk6@QX_#quh+ zEo>fyugN0-$3fRwYnwV9Z&>^En$lsDdhF(rYGA|{`t;Dv?EvaF9g@c(3#xemV?^B^ z;CoP(Vlz$L4B;)gPc|FB1ED2PdPI%LWAMbnAxbMdbP`*an`E-Y5V=Iv-H28?GEju} zOdKgT{Ac1wvwhP`-_S-ia@>&}@mP%($&E&@$)mCH8=L+~8-&g8lf>bYnset##@lx^ zq=^%RH1s3bZ102pC+Xve?j5DM?HrtX7u*?JS7h?~)8s+O+$GoC4k#h{fKFEic)Ip=fvI(B3*g72mvtkX1ArqaV zJ6Pr5PKD-9CBCkIX+Dr>gYWOmHr$vG)=Yv(Q3hxWU6WmXtoV z*y>{WLK2Gvzbr|5+5MGNN6N$CGG6FAxIqJ~yGwgLE@X!^>W5!%Aso3$dC~qAUd>zX zQ$aMPo?!WG1-W~*M-g-A6^(|sx*;o)d0L|B4UM#aeTO-Jy{+b<9?<^vP4H>9edCs& zTmjyXh|8om-v~cBeD>D2@FQ->?BXJVIz@46#wS<4r3$W|zEhv)$2n16(qdQpJl4NN zpM`YudZ^LrpXG3sjC?r%0sky^#Qdwig>gdD9xOoBMOa%nx3jf6g0 z-^pHkLlP_SD%S20jg*a|J8Tck0$~K~qQpNQ<*Kzy47pQ~@|ko>K~#ElcdPAM&d)^; zcI6J|ZxtX|4i~TEaqVHa{BQx3Fs#}J0#wgGumNIe8kMB%pgt2AJ{P3%n}giu*Jn*w zZrw*!HULG}{nN56RyQy?rLI9P)GQfVE0W6!^;i>R{8?5+KvFC3_ePwwk4}zXegWn> zQcS)26K=?iBfI+#0B60a2<(%rvb#Qd$=>H9#u3*2J7{c!vtz(-+Z74fOF5HO1BB-D z^mm2P4_ZkJ15-nxo_;5Z`L_fSe~CZqzGBX4qnx$#_I*!K*~^mr#G@Df^8|CsC0Nhx z8PLz@`JKl$A_U&yi(eBP2`19{t97^`kmhYcl}Jj|s3TG(#36~r@yo;70yVFz6Ic?w zU8;5*+TWwVxB(dFeOhR#Mmz04eE_1rrX4PM%jY|>e1Jon)P0b$bXi*iG}#V<{UT}N z7Bi1qgTpT~KA29tpzIb7XX6^@RCJhGyiqF0Jg-@Oy$FHAjl90b62dKScuucQtRjFkQg_5 zIK~?p=jIjdn%Xhw)3i7K{%l5vd;0yd=VV4Yv1OA9<4^jau6D1l|xoafta2ZF@aYS zYUPjN3Ajrn{1P9mQMa<0*8n%fa4thMxrikW_=7}!!-}J7%hv=zXl<%m`l71;qM8Ls zEn`?MLIA!^!i^w*Ij{9l#m_@)}XV&rMdx#!RbsR)N}8sup|{Fpv;$3t&_}bd;y9+p|P>li=oLWhP`WR!$sTw78!N-iyZcP)}E6srdjUzT}%$kF@2} z+Bljn)C-o*_CjHM$k5js9xIEVT$RzRVtVk*q1^XgdnjQl#2c;G5B9 zF1i!NPSjt(TH*vS*rHk-NrfX;XVWyQKo1tC%$>-pBaxa$G$cAHW`PQI0{J~7;TIGd z`ZOektQJ87UoQY>NVi-P;2ot%mRvR57_%g`+;<(nUFiSBBdM|D-;gsbEZNcfuOEYH zj^5BDE67}GN8d)WrCW(PE#8gQJ(j##SA<7AQ}=soxBu(km_TjS`i+8q&VNyO#N(K$ zUm{t@LD_eNVp{(f5dzlX)e(b?_rFa!Kl50x?br_^*=*`aK*rLY)h)kZSi{vVS~x4C zsrPv7xKRxKAP5coKH^E=#{}MJ5799DV34acOoRZoaMc1se%qtK@kvBm^hyuaEZGkN z=eq__FwZ4y)NAA4a=|`a1g{vwS74A;x*<5!aet3Cg>k4vTT-VP%U8xO;r_z7BXwI6tWlsDvZ!7qz-K6J!E+HFJs#OAnpf*y`*JU|03V+7aio|n z8xu2(001^i(wss77Bnr{YmJdeEGz(t=#ZoTR+IP0*IB4v9NRk}WdjZYC)HZwZ~4g4 zUR4k&o$x(W^&nHj>ve?ZO9&@c0=xC!!M9JHd(XO19HVnI0^G{5alPS>6MZ3cjb*~& zMvp2C`QZCKIc*7?y(SeYM~tpQ@}=L@z(1D>WlF10HDwap7@OaM`aJ!lcHAjD@J1G#w^TsWYk%= z3&3!73#{Pv7lk=uo0#>9&`pDQNG*Rk_Blr>w_S$bBx_W8Bd?JkI5qFuu<7xDi;07O z>a=kn@H3}s)bQOj_1zpCj-ZdNLncF^IIcEAtp1UT1S?QRR89Z7Jr>-qRI1M%0hlF6 z4DnTXt)#vvD5N5(f~M1=(B{=?QU$R3S*_2hTHiO%Tbf2H*=61Snm>2nyB_%*AN9dU zqmXJ7K)$9gK+TFZ334KqAv(JlEh_=*t!dN$X72y&?puf7i3@mQ^v_jNX+GHC!I|DG z=0$rb7o$)ok3DucXqRZ#NZ9^<`+-W`s!z{To(%2)(C2C9ND2D8D-kQW9b>GIU4-!$ z&AUO{Q~{U;9~3139VcrD$++*YwW(y~2!W3-8k855I-#mN0&?w^UiRW@XVhud&~)ud z+jP6GI+5`+eD&K3q?!#L!rVW4T$6BA^(jZwOPpX(cX&H(@98*#7g;%dKs^>PDgCPb zg=&8z&(-)JcSl*V-yi+~XIOHOW@Uz%Sb6Klll1|ee|u7s=6pxCXH#fz$2>wRm`=ZW z@+mwKJux?F6Rx_a5~BNHF?g~_WvJsOM5q$3>1&(p+oL*Ie1sseJKq?nKet!kG5FQ# z?YkbH*}7j4Dm5j&-bQ+J^q1Pzn)rtv>nYEE5UL(Nubqv-`7bJqHt)qSVJ08!BvM9$ zV1o*E#-irw#ce%grAp96gZ%j1MncAW;D-C&K`Fs11LCI8j0GKj>v69vuGn7I*}y3AtiXdFlwZ|#g+OE z5DndsyG%g+PRFH)$XkDxogr++GBBlV9LPeWO|aCg7+yKS?AIu z;*9V~A_mF~AaMirKYz*ZeS!y3 z@~t@_s%q$m(84lRzbLHrHvJ~4Bez}smXy+glc0&zR`?{V$yRo~Q~zwQ{%fMD)pUqu(JHwu8?Y|+orUikmCfU! zFLN=KV;$NEa2^k%l45jf!{&;cben*I*_CUO;PrIKWr#?Z%9#Yq+3oj=9Bz3jm}?#5%((`9aeZl;~?M0FHddPr?=Kxw`-nFRu6v+J->aU z=4+wCnEae!aGB?^@-v(ND|qt1QtuPz8vdvGdez?1Qib4k^hd?Mf&nuJ^vIVdnfhE- zlHNY3B-IB*ZgM5-Mesx}B63HM!<(1jxfbaXD|pDh?wPDi|HK`!dfu)!!+{T=!Z)eW z4haH=_S~()0~j+_L^D$K^#}1krrwCAq~Uwl#hj3U9e!n((!q<`ZV&@Z0Z4TL06DDP zzcz7%IXRP!hAUAZrwuKdh|CUGO8nohIHm5}yj0gu_?8Xvq>-JKaud#o9Q@S5ib?fm znha=5rmTDQDd8`kUVjVdn7Q)htg&ZqgOyn|G2y0%$FcY_2`lZWHKOU)57L$en16ru zY-YM&V1;^}FOK#z{Hm>zm?kgV&c*%j$Da>MsP}l_{rYFp4FU3|>Q3XKbzgqFFt2Ps z$@lx>{L(~*V9T>Q5TXm%9!?bk_FSo|wvV=Pf%G143|^^eJ-$QUv<_{h9=mO6P^(cI zsc=}U$KX|u`~9GR)b|f(_&B*z%uphmldIVI?hAQtSkf1ZQ17c z##{~se0hxobXcFE2FBR5%&OMMmAkHcL}gqR2~E{dZusb7!Wd-2-i14(yBN2kqb$Nk zgbhI>lDz2h9ICeWGT>``Ka|pagyb`l2CzE>Fqcef)_kY4d@Jrn7i{5mhgX|3z@@+E zap=|du#RO{#|(G{nYoa%Dq;%EFro`QbYk{1;LolZM*nQ9HX=zAg9MgKB&sHoB-2Km z24uXG)wA+H_szNlTGiRmDVZudDM2wgVO45pYoq?u$Z8{A0);t9KN}4#2+4_@445UPPfm@!=0C@y-y2)c6B{AR=?<{wwlQ0M0 z$;mAuht(f}*Mye(ax6eYZ^JXa<=rs`cqf$->*R3jc^e!9RAMcgn`mRAa<%+{vi@Vz zLZfjdMXaD8b-@N6gnB%oxU=s8bUZcuVNXHxG6hhGxbxw&sQmD}g@umg2ZJf?OKoo; zsyKjEzI5+6|Gw1mz?(KYa)Y~*x`J31++dCC3fFarjw;l7^3%=n)B)~K0Cc|CEM_iH zS&+~R^Z^QV0^5Kv>E*?SJnxrZJv{V!)`4uDm(px!#o-l!vtkfR)KN#6d_Ya@`W6n? z9X5&;)8)Gm5qi%AK$dD%6L3~H`WePq>gm^nLS;cg__Qn^w>gU{rO{Dj-KNrf`F;U5 zL)9;l=jb{lUtx!C+Xaj${efhsD-Gi^Z4Xb+5ev0Fzh-4+%@{>emqf#k=Vgd{{anvh z374K)I-+T&^kingJb8ylIzcP~oxODs3;s|paC0=N6o|{NlI$}T6vBP5j+9EKv+2BF znW~1+eAN=+MY9A~jG?E^bUl$F61UzwSidaw5-5mp(ViZ34ga?)&Hdgn>r_@^F8j+oI~pNOzok zp!F#G`%S=Bg-#Z9kLtP>d-J}2TlwCYN%z+bxSj)#J*8KXx?zi66aI~tY^(zIktizT zH@Gs_NHgfjy=uP?4WxpfR;oCLu2t+-%1MsRDIWk73UUP5IE<^+@p9q_0O^$}2!h5# z`Gp?B@2~!}(Fu*udy&eP8`hXK<&q1{oOqJiW~a~gzQ&*Bk6?TUCyds2)6YgWs+$PM z;l*wUm&k5RKNoziZ)C)8P$Vlm65RHihByi!K(lDz!vMbJ;hY9i_fIf6Y0vsspokT= z!*9v9rv=ZMj*+muze=^X|116@hmgQob9pr&)ec2rnV5pm#9MctM@CD&lg%|rBpMM8 zq2BOqgQRbnsUDe@<{(B$9YzJp8>0@-xusV|acYJYMNYA9&lSN$v_XFtp~EoK%tilb z@k(40Yv#HBe@(5Nf>#&Vj?)FfSP8p{@i;#^?xoXwmftfVzVjf)&^LnmJl=pfl(=tY z@_jeI0l>v%qAgGTPYBi%xB`vaCX96_fu@5J04MDk;%y4T^s77KugEvOT_a{T^6jia z;keEVSekjCC?Jqy<(lD&2>+@gchW4~JGuw84OqYY*Ny{`8krrGIwrfkYbzP8gzTaG$ni$Yrm_FL%|)Q+0HA-{p->V6Ajx7KfBq}WukLSr4H`&uW#oFRv_(h$^R#+g zh0}F>%2LrSOJj19chh+1Y?^e_TJK21z|fBM<`hIWb-c)quYB=-S&90-KaR)-xRk)m z7xSr{LKBZPoU^p*Hgg`RZY+|ZMG#a3{3^V=(tvB`1FMdy-(D!u07aR9vLN7Ew@*yr zG+{V{Jco?jm4~Nh#;@A7#I%WqMY?M0*Y8o$e)A`Ya%vXYrXsuPe)1tr`T&96cPC67mqncmw#MhF%q3rOSA zDW9QB0)RB+o~>&Ae62f|TL+-n5(Ojh4Q-&*4cdh2cj5jE_1z`e2>VRsdjPiX*9Oyt zsR^m*lEUr9;7PzPn<$_Iz;f&nSsSo2j-JyJ&co(JYRX6Vh|!-_3;UBBh?;wp|NV=% zl8AO9LWu?XIzM8t*rtp;jESX!+d_ch(@bh_8*Umke1h#-pdA%mMiOf#c#e!hO!avaXUy2~x}+gp8o zh5q0ds=RjDp7*epS7!g%cJg}5?KGqIFX2`){VZ$UXr2e4ssTIApHx_(;jCXZVE0lY zKv}yKfHeCrfPIG43^!l5QyKpBiAb~8(vw8yOb2o%)NaqCEK;j* zDnCVJeRi`I2@Rz4KSv_IbF%8|HYHD@A)1wpoT;A~z=n4)V$eI}Q4+Cb^rwj4WHl6? zJO z*}983d^|cmJ%%ExP{0-SB~eX2&~pv}M$l)W2dbNOgaXMD<4(&kz2}Pa_1Khk`{(`X zi!d|lKk+VsTAdl@fejNUBsmIxLN>^5wLJ9u-R{=@h~u!PHUIBLyzKrK{a4di+JcdUx}9o^8gZ3FXQQ;Ls0BkQ!)~w+O395oalWk_8;zK;008+gKcQx5RMk zkV0$3Y2x5U;B!CN! z2Z&$dC$@3-5$D7J#k&`7lG6bkFj@$-*%NW6Lka6*m$+cXHq=Q9bYBH2!bJ{?!1`H8 ztx!0T>l5`Qy37Qg!dDv=LPFST%U4o(mFT(wrL=F+xqV8}U+hVxzJtjm?axI0O^5n# z`L#=?)k!{(c%LYDS?C(5Gw|FcJVE?v1-hL)gS4i3f;p%0)<&K7a*$vAZv- zodvf%V99ckFKA*(OLE#-{1!ul=2|bX8xdnq`O^;ydw0- zrK3{UgW^~~!Y&HOLKNSZiXTUbwIR)N5H|XdOrc!iE}TO+4qzge*OC6&&_FJPS_XYU zLsV6vVws3C4!DP4cg$7cGX28w5@f2h$dg@B2?!vci9++m!aNlU$RK|@^eIEJn*u#Q znBK7~S}c@UOP+TKygggIq$1_uR8-j5{8AK_ z6_itYa7EN!f1Q8T6WDk@XfVR3?V`_hb@BVV(6V&IItMgnw@+=&pn8$vAl4DZNl?j_ zU8RZIGlv=_mf9#^E#`4-v_bvD3bh;OeBdMKwE?FIP;pv=)1N>LQQx@pe!c-v!iTOd z^0ruyAQ0m6adROYGcYV#0_#YO>IuK)&p%a z!*}S}A*7&vuTGliHTaHCLl3-dJ4+^`xBZF|?Pgdtt+(nC4cKCq_@h#gaMjm-$Aa{)iv^WHrvTy^yP|;tL=RmT zKm*TkVEx=g0=lg_YG3Rm8D+DFdLaZ?Gn=jekj71@l}OZ(&>BDn_H&E?0_fDP=t+Qh zxGdtNK!Q#~kaulHInY4*@i-=GnG8HSX{K+CB+-#qrcu|>OaL8ql8>A+ambJ-WmBxSi zNc1YT+r(gnL^UN~ecSaj%5|f#0w|U^Ic2=u>J!PwmVH4@5>lNhsgA*^PV}pO4OfNP z`;ODb=x}V&RHoXJfBjTu026ygY+kJq4UJsyUaC;vmA#gd5V(CGjgE&GSYlN-h$k$A z40zo>6sK=b4^{wsI1O%10o}WTn%l&$k%3S6mct|Nu4;M?`N$q#Dclb}%z~_OQK{II zgc-pwLu`VZ4o`E+AytQzxSNPMf@OeCL99ra5408B< zqM|Kq3xqu#+SAiG6?!aFOISiAowI+t+DpK>nr@nvbrm5i)qRSA zmp40i(~iAIU}llrxq^eCEU1_!)j|Pj1n33*3ooFEAwS?N4*=I>q~EdeTg!-te4q>1 z13*K5>I25JF509aTlnB6pn9a`ku z4B!;Y@OoeFRIX7$?;xR||8iEM!ak8G0VT533Menen29~CF=eEC%@#^=8#Qts<;90O@uB5{mpKQ( z>Vl?aA>s%Nb_4)FUMW5dc-F!|4spO`9QdDP=u-;9ehOa7g7p#*@qFYk85k~r$5+8) zcg1=EV0ZrDlU?X-0JNVeDqbsVT_~PQLlQYC(GDbqgQ5r(A*iUduQN@Nd5`U2zKxwX z^6g;>_N;SL`Axn(cdlO;hfc6w-<4S|dSySFOB{?q-=t1Ip1ta^>w7O-PbiCUUKa{W z?>cbAohS!U_CFY(_iwzM4tPl(PIVKy-+<5zI%Rzwp|G2iX0M z7y=@l4_gql$L>N>`G`kov6o!g78)dx0P5!=Cl4UaKu&=~;gMsb`@=x)N{vK=U3NpQY6G$`UhVWK zC~p^43lP^^LRE+YUkE@iC_43`d#%Z+e9Av^qfp~;2$%n?laG9emOm8taF_)fB0$On z`;a>nu>hP$=kA8*9H5jVnk2L;B|t)KcOl)f1wx47+woEQvm91lBNy2>TPx^z-44!U zRpf1HperQRrk0O%TA@3SrrhkX%gKz=`s+@!$)9(3a%CG{d))H{q(KS??IPhdZdooX z2bQNcl9tK4wV_ZR z>MqBP|7dV*;y2T-dN}cpBz?g3!l(E?mft*(pbmJzt?J};y-W6s^cb)C%<{PB-hX?cI#fENYn(OK1-?U4sIIBzq! z``k>i!GGhTbeEb#kiVQsRj%o~=B|E=&@hZD^+{*4R0}frP)tutPu^JG5`mVU@+~2} zRSM}43;eLQgunv;PktY}V^wMV+eh@ox6oh8`TlCFnH6WdELx?l%QuQoQf>JYa@Hm| z+e2YLXSU&(tUC==Sm$|^jb?OBJCB=z$tulXg=QUL?Oq-QP-h)gz7TmUc5s zgExp4#`a=*rGYhbwspz~O(<%U{`+BGR)+O`Nv*qgyLfg~N~3Z>>B|22keYpoj%s<8 z^lSB3;WZAe*RtRihZwfM=;igvpTD@&*z@Yr-rPN6 zR_yP1JNXNX^Y@{d+OC6DD1$btZ3Zq)&%H9$S{_zpw3CNE*EH^^=ZXx)`5S0YNK(l& zlLXD!C|<8hO(eTXlc~RbFgLt7rEYN+l+s#v89vim|J7O@)R3rYTjzcEH?E_Vf4gJe zUa2*;qg#M|FDx|p!=~N6h!LZErmEw;W?N0~tFIlLi(phn#$MI{BT@n~VI5ojRC=Z^ zUan3>Go4*=@XM?LP7My-bW--I_Mb&&_k`WntofOxGIU4(f!)UmE5E4c%nYH+quV^W zy1_dP;(y7*)3fpNl>F1(?v1yyEy^sk-DzL!T0a zsz)qp$X;Z!fTd_+wkg@33?bn}c$HIAa+7?BnZ3o;`j2m|3WR=hPJ4Y4Zy`i8Kl_J? zSmpYqDYGN*P{OaQv5Z%3m(3nOU|JK3`Y<4rLyC1yeO5!OjspQw;y)e>2LUwistQ#Jh&tRqFZMiR2_N#=buN9+mo^1-covk_rKev_Ac3mG> zTgxYWoL18kT-A7BD)*uJQBBC$_R3}in98Rf@Z|5SC6H^PI17J5EMGnDw@dIxGrYkpunFT zB@_%-kSaOWu-6iKf(kV_>?ZNTC@R{m7rUUq1FP!i>RIPiW2#$JYCL;T&)Y2VvAhZ0 zih~(+O|HRsB*N|AheyskHpbdB5I_%)OQ~D6a%VTykNyW^QmVI*XFZTc+RcgODuG^V zrbjFjUMGagO87n;wRibLH*t*?=-#!tZ#PIwaC2DOG^W627y(xHO?7fL;%YKX-1iF) z5>#=_kq0Js|MpxsaBVT+x8lklNWKbja$p|NW__AWk76Iex>=TL8p;@*YKOY=JsGzq zmBZcbz~9N!jxm$7l7>|ePo24GWnFG(^sm;Ni!a7HospJTi)bT<>*FZ^eHx`SnV^;; zQWWrkjgr44Dz}Wzk0DqVJ@+j%<^GV7tr*E@sj6A-o3zI9>`gtIfLGTC4XssLm5zb1 z;um(%?Vrh}R+}B5P-?SE7dl$cS+0V+V=mzt5B98jAUpJR;aX5AZej&0o5w&HC@iIt zlwcYiG&o*$eEh%65J!(=2QXIfMA1p509qokF2u}5H?Q}-(yZU|($MR3)nA^qEdD;? zFko|@r4k61H=c&8G!sr)S$_!k2D^TOTzClx>Mp7&O@E&7XA?iCU=8pvN?Hl_(%wO$ zQ|Yg_u!R)Q-K+@5XeXx5Ict2Oasj)zGFC}@&T))HjXtD$kks*b2VB;gftU2_!|E#om|FHen zX6J-=b(gnW(b}(wDcgVBrDs{yK5J{Tq1IA*(^SIlB!)XunYgHTFMbY;$laZ5h#NG! z>ego=?J+p&>twO`V#r}%g{@$V?>wkxUBq?#Ay-}y6Kp3H;u)ctH063%v%|)Df)irg zx{}*Abi;1G~(`KMkyY8TiX=|4%7P_e+%V&FXp1P0lsJlxn+9jWgT%gXwq3K{DUoqG0f`N|BfS zDP^7IaV7a5ahSsf`@KpjJelJ+kGz84C(LF&Dp&h*RYg^&4JgreZ0)MV9TKytk@l{w zOe$vStoTNBpFk8)+{x-O(U5c4}J z=2a(Fz*thhgPC#2V9{@1=o0ISnPIJTNq;O$=7xT|+Ap*wrN!00DDZu5CSPxStXok@ zqkU5@Yzie|04oAH@~hVnZ5o)!GU6vKjOK0j!}V(N*FqQKaNHOaBdm+p>iFt-^IZNg zgU?38pa7*`AOIY&56}i29HSz-A^_+pNspO1*DVj=q6bD=3{UAGMv9ugG!J(DX8QTOD#=bt&HQg5$H|aQJH{ z^1mHR>GRQdKb3!jvN}nvb#?7F3pDR&^G+P~qV?YILD})#9an=lA5{AHHw$?;Q_h6Z zh5|3@hUJyFpT73zk9W^~%iCz(fp-1BR&G%70nYa}ItIO7<;6L0+h}9&r%P2&HT@Bs zq*5ah=u+3DFXHIjBb_U3dy9cjpdeQT$$t7tNN^WmBwf}iQuH3{H2XR;C!AAW!@^7pU~n{lawt7!p~$2`qqju=p9gS# zP4xVbrj+?oC~SP(y6u_Uy6jX(NZhpFY~NH%dkgW}BFQ zUlj7Lum}DQbbQ#O-eftd(%yza8FpNyjOv2d?qsDsI%aq%Q?rg|8}r|P_k$*ImUm~5 zJ?bn8ka#Z4#rnEm9J6+H!5_q!W;*FM8V=eHGx=wIJ2uJWAgTu;J*cD*w8`Cr9xX2C zfGlXrpz~MS*Z{6ZnVrIS8OcGhmR)O^&2 zc8I<{V)-F@!u;==zKF%_k1`vAq|+0U9Rl0b{-}M0j2L=p-1+V6m(ZkNYGRrCJ>nrK z-D+oLSn^N3kpErmovWYv)4OAm1R9l6?HV)6Yg?&yUtuff1!N690KsxOC%2k`tNXgEBox`c` zOBVNW2K`xrvj(1gh%n%LWyxaPIXPYi9w^f4Hf1l<&}d0ikWy<<8Fd2DvdFvo$g@+V zxE2m&T{vRW$I;bd<-@&zVMdJ>nHq@(6IWfplGcYa!|g1nLBHE>$(BweWb=R(YtYKO zvG3eD)-!K|Zb__+h?AQQ4%dAO)-;dm!Z`_e|E8K2DWIkQu%Uxg<>E$-;JLzw%u2J=`sFLY%aLpZh5w z?>;{^)UmpuZ0_C4;3SF~zKZtP3T?rS)V00i9*|qqrQ7VD?BEm}dw((|c`S@K&cG*4X0-dHAEj|@;^#IL&hdHv zQS=vV6I*c~jL@HlNd^}Xd(t-Qt*e@&%&K00T_T`(T9!-l_lg!jC-og)BUyeMvpXI_|P)t|7XQqFM${GaJbjx3p(Zhlpwy zv1)*&^nmq>byk9Yp^r28Of+NEv&Nm+bprk8 z;CUk8h&HQex9d7d$uXGJ6*je*>&EcHN+f2m4uEud!JU!CHRs3GPvbOE5+mi-D;!ue ze-vMiVaw@C*mWpVN5hFOQw_ zlYQl!=5tAp^l#UV0m_G@yCvJR9H2p|c`o@w;*!i$oZHj+n&2b<8Nu$@+YXb?r}LOi zS@u~MC}Y_Lw8hrB3E0eG-ne^gFhVObcg$!HTK#n(xO$~Yu6ZTL!zc{S;Ec+wudE{9 zn|t1X&M;Ys&sQt+%&jW=wOFwR3a3}5tu8j5I=wHKcYKnq`S=X=)%AZuf+D)i6G4{b zz{|Xk5XXettWX{O+e>H9%tPAO`LJe_;(N$Y-n(jw)b%4?DzR3>U%cipwu+H(*|@r-EX>@ALqBL!#~(q31_}E0qEXtWe>;Ge zTe~23@jQ5;R;5-sOjt9foo=|o{caR08|WY3*C+sF2C=qm7~g7(|4apA(9x&-U4s&V)t+r2lSE?_jWs~cAuZFJ8GyOjJN8M{?3##WJoD_Ax)L7yl93xdp1ew z;<+p{1q)bc$R96gRD-YTGi2nL5I^D$-kHC6AUG`a^rkW3pTx|*-S@Oz@Pt+2WGXz< z-2be99BL|c)QM->Zg7--{>a4*iLo8axKeZdEu1R&l7rGYP>$Vcefz74Skn;1PdbXV zgVb_`i(?QaBI1jQmqt_+r!2MQ4A0LuL%v%8gM}9OQAq9p0&YN26F|C*QMWDx{IGO+ z{Z+Bt1cgpRObQRbXQMwQ=Q|{7In({O=bh!7*gfB!*BPKkO~6N+3KM%7r=$Z*_{azP z7g{F#N?S5#GEPdA>6h%&wEx>6;Y%3zU?h#BfQbN?({QRl$svg| z;S8x4G;o~>s?1x-t_}Fw5QP>?MME$W4C)zI_&26Tq!Lk_Bq7hUdz5YBvCBxZf;~Y? zNUPdfokzv?L0ikMh1qyN(aUGZ$p1v6kqp!TUCqtr&v*~gg<$w5IV3~EkR4J`AYsNA zJLgp5;5=|{AS9&c30CV$!or|;y`_3THsREWhZ;8F#m^dhucIj?W*1!Xkv9)tHBojF z9)3s6nOsu1sFw9`K~}v@`<@D|eL3^Xu5+!cqt}$YLv^xfsh%MBShgM7;ckK3Zf0k@6Rh}@DV*5WUY%iV7v|#?>r<(+{aj~d{aEO8ndP3E84ET zX&HO-n~F38v*~rk!WG~C1i@t?qRxSJ%c-?Oy5nP1_=be1{xN5ke=QoZE2@Q8Qnt!K zYl9n(h88`)Z=!J}H2rl!@J4Dg>(CRjXl<~SZagafoN|bPM6*!yX!@a13LwDB)zFyt z7z7@qgWG)7ze?dRFG;O(P5}33=LXvSEyauJI%4ih ze*1$8F&y%{gTy8sO#_Gm8$jzk(6a+IGa>z|IvQf(!sUQ4^Jwrqu{i$B`flkzAt0(c zVJl5<|EA7^QAjV~;_tF!?Q~rlA>bpgBCsmbm=cgLc0GnBF5z*!kC!n6Dp?tk^!q}5 zK|2&3Vx>te85H{DD<4o?!3WaVErwnv4V*G0;Rn|k5SE8|wRkhpa7J817M(bfV3n4O zN>-NZ0g^Sb1L!MOj4Ly{Hrf^v1AM4w6iOoMz$a_sKL(n!gI%{aK9x=_aVNU}zI=KO zS2FD>RqJWLVD?=qoEYH{Scy{*Q}6LD7HZt|@O85G`e?d8Et>Nes zh7$msFG(hn0tXm!ojjMtG3_5|LAfm_6V+lW)RP~vU}B8uE75w7ggTja0n-*}BU*G~ zW!(BY4}yu;dyHaL$@EJf{?9GxM=7uh?c{y|a&@M{JEvm$oSq!8YnW$o7-w1{)haliT3F%k zMJUOUQI>k$D~KfBOh3X3_Ed8-vst*D(c5hJL&`MU+@Q4(w7-rk1xW@zHXRrhEXy`3p)L`vZpXT*GXI|2zTlA)BBSvMf8f$l!$gMQCnQ9=mKg)0N zPN9N9x0d8LNBpP&oiXAq_+8inq2HFvK2T>q5fO)`9kzl6L`WZ=VPwDlMd?ksu3jBm z_MKAnhA=Dm3!Q!q>p=kG$F@pN?k@z8%xJN@$RPln-(aaXD(SUHGs97-(Kz-^bhqkATAX%&)YzM&(B-q=m;bzwB1s6AX=GaN01j+I z3>^&cf(EmhpLZ}>cCd!m(vgGqut zZj+@p;}D6Ja~gN$FNwL_@QM&M)_swFVSFHYSjkc@mT>tFzu{p7St>!0*5lQ0}rM!!R?bK6}6$T<$Io&(XOgZ4^G&WjkH4>ppk@N|(t zXg8}kH5@K}pDWkX(65XOFM%pCYNhj{586Al{{8Ci-?wO)k#s zc#+Gm!p<+%KWe3$Xf7JRGL}N*GE(GJbJ%si75CkBw}E9M&A=f_!@{2Y{$qt7dyf0O zdSZ2{CNr~ENGy15aBl%bBM?5_)SdUJuSyw}_@aQ{Jbubv>H2qP32R-I+|K>^wHD)x z7r&DW4=Z$=z#{0t|19J+nI}(eT`Wdm^Lx??8PwOBp_?4k4jK7S0EY3vVgQgBE$tqSRMo zd=k`oncK7qaXu~T_bs*oATa#`md}p$_=0SrE{)e z8q@bvIm~4jxz49K?@yWpyv{Bzmum1wKF^)JE|=SN=}yEvMh;^`$TFc=x&P^VN3BOP zqEGt6e?c!e#$y5#Wmjrx0|ssGBQF`|v!pENua#tBelgM0zhb>8bs?-@-*B4EW7J$H3X*Ky6_u#c$RF@%MBzrq2IF~zNYCPe#J>ffVqURGP=P75%HJn(&SA8 z|8&Gdv`f+oVo;Uvh^zF-^|D;2!iMphc>BrlR^U{p4yNzCaZymF**KMcVpD`ryKzeN zoAc||oKDR_H1^m%pQ0P7mio_o)`;V6l4M>S%@<8q&e>4TcZdo>>~5ldgT z=wJD>&cjRjh2=3Nsd6D|ofZMzdWbELc!bq?>mqlHF1}GZ22AMep~&C zQQJ@P6C7xhy+mEH%?_(k+Y1R`AOp(OUNSeL+1K;>H-F$mS7i~3d@*Avf_f#EB z-)q9}G<5Ee>K!h+X@qOW^xT-}O8!sNvsy#b?MBCS*k)?0-l=b= z?{DqQ$t>M+sT=AyugJStSKc|@Z#(f3w?K9_EDc^YP+s7grT0#+s*x7lj%|I7^@V#) z6l7s|bbEd}%sj$#+(QE`W@04CtXun8DQSeEwmZip(BH$}!?|3tLSsl_X zg|3o!g3DuWkA#)s)SSk0J(xYJ%`>~2;pNuoSWx`{k!=NZg=yxWyUQ&yS%$Y`wK#=_l3c0t-;L%oTfVm9^KHK}zOo#m0 zCe3>y5oH^0Q(y^YZlo^QVQ2R56SOItzPpWcIr|3n=lv*~2Ca+BGmnq0M`)dKrd znov@{*UXI9xrPSFd3d4SodzPOFz4O%>n=9Q9$L=%79r{#NgvPmc#gdD(6V!G*OKd< zGg)f$H}3D(vv$s{;P>OUF6nz>hLOGQ?ZU?1XXjqVdN-}@sO1_rxNr6a%BOnuFVVu8 z{?(4|y91f}kg&q2%9t*CLHd?8IRCkE+>zIO$Ic#{X2x=P%%s)2S59wK`;#AP1!3msLZ*zd=e9wSOhMp@)+yTjgl_Sk zeOX(A`S>_Bsag}^?`2v=A#b0x(Z_G4^xr?;C4_qdvN4tCkIgp`FK!GTJZ>^{7v#<26?(wCjKuVShk=PAcI=VT@otQVXmkDPHIIV_%ObKmYO8dX5H zA1858|itv zSV*gMJNAUCrE?=c``|_g-_8+5(L_{yuw(eiRB&zH76C2*U&T48Z9rTlitP{%P9>2$s9s#sXdXNJQbgSg)5e1cD^s)`Cu?< z+SNWbN-HJb-NfC@^GxLK6SYeIC2c8K&A6I*c<|B6D>iFOC8sXWxpuQjy+jx7Tf`5Y zkaG^&e}2vnOxaS9N+&T^HVMG^$#VcB3%k3JyV105?)vwllj5Pma-QK0<@Q9KL z=cZXHO(c{00EQ(+8uRBropc7gu@@AeZpEFqP_}nmA{hBTv=27b?e%UB9Fu%5*imDS zcsK5Nmd+4Zfj3JEd+N?Wo=_-qo%CYO^R-GNg>6r$BbY;1W^P!W5d~5$CfshU6Xgcj zkB=cqXE{K{Xv69KC#(b%rP*5h+U+J!d_UVoazepFuADdw9O`DeB;1I3<-Og(?1R9@ z%BEj=;e4gkvp;F2#b8a-mA?^6pFm!%6ti=ReGw{*WeOD2>87}KUp1fQ= zW$Yj-Ceh_-@jv#(tDlv`;Jd+HXJ@Z~>S9P({Cj6Ts%Q|ZWmMkU{e{kYEYP09w(7Ew zk#iF0o1Wb5X7w59BbFG;k8_riY@;ownMyHTwYc2E)kdp;~suB!& zK>`E)_OBIYdZYpW{cQqQ`mCl&Xm}n4ye#MCgTD)!fL~~!LXV|ZyCFrtqc7%|Za&|@ z{(yUXB*wJ=A4O;V&}94eVPb=Ags^}SA{#Z*(W4Z`fRT<4K^a{lr2@vo#uzm^9O>u~ zkP-n=X(pkR2pC^d0nvvrupVCCf8hSTV0_bF@3eU3wsWr^Yf$BPBn5ASB)GdG+9I{>2#x7gE#H zQsuIk+vF1*cbZBtae<57sbE5EHci&LCtfE!tpqc;cKGhpdzhummvEljZhZQBhs=K<`d^i_w}_Nw2hht7RHHZS z#{lp_Ds0M~pDlDQ4T%jhc=GB^g#(ikYRX|uKJ(*e7nwsh1(S3ZTv9a-t7ZXi1xZ-3 zD$AIl9?mr4xT11I>I2j%5yhl%4!G6IBkQ-Rd~+%HNw6%Yo?Zhgi=*uPvPMT#_4ys8 zZ!li4ciLba;K8p_pKg??eve&TyZP*S`!?K9?vAHue&BFg8$17^B7Gs4A#ISxq5Nbd zq)Bat@l=Q&&hcvS86x`cCChT+ zG^GP(a(Ujv3jJ|x|=ttzelw~8XEnUVUs+?8%CnV9ryP}~Vq|rk^d(c{; zpQqjcb&yWVCaM=RA=f1ujU$z7ewJmoQnlmqJ3`Xi-Ef^$$Yqt%fv~h({Ii*!(yHmw z*Xqi_(fPjfX?HXqU4`?xMy7`V_ycbZjg#m|2U(p6&{1+iHM;48$S$i z&(JX#%c{ucfeQTT89aX7{Sdfc{+%Rv$SEk3O>@2|+HjGZLkZ>CT6~kivLuSEp3Dc> z>}FxGIHls1pRIq--Rl~HQ4|A4Q**ou>d>8AJAnpkMRG0akCkKuVlymb1t6&atWBaz z1lMRH@U9*u(4HGR4}_)AKWm%?{mi`8z_qRXgoP_PNC7>ohWCTg1lLog4@{dRff;T9 zD+~}_3Gk1lU7auzSuIXpd6I@})LKH6gp^qGqhBN#l~({Z^C|^=xkA~+)Ote)Bsi3v zD)>0%zK~?g<>L0v**fpKMujg>eLOaC$}04N~-aqmFtYwZKr& zVJ1f@@%pW*207HNDGB}CrgeEI<4+LRS7W=<-;SKYS$mPDLSDk29D^MbA`eaP!XwyL zUW4(nqKrR<+6h1fQeu)jy~ChT&?+hJC_9cs%}MR}XFNwHh3BHjgS~?~B9Z$-1l8Sf zh&NJBj#wv8WM9!N(K*>eo7PF|u5L=vz^;P8NnH?a;5AbYff`y9>+G*et9QSPtM^k2 z9aA&d6C)^fKnjT2-C8NcljAmV*TKc%h^K4gZmD;wU{xBx2K=a9GQAy`9+F5uoR}h4 z92ZIC>xZO4V`=!f*;KFd7u3_$bM;cv+mu(#F2NCfvyja^jmZjzp^{?@s~|rEF}yO_ zjOm~3Xke{CCs$8T2#r4RpeP05e;OAaA4$i?6lO-&9Pdf#cqTfv%7vqla`l|lCBU15 zj5U(nht9&VeL)fkN%Ncdy9{_2%kxlK@ONw0&)Fwrq}tJuoN$lU8e4?3N7Q9c^$V@# z_ntsBDe*Xe`B!9f&MHzUr#CiD`(QH1hLkvikwTf`29>KlUO~OL+ITLW zl-(Ne4O8AQz*uT_e`6)7M$7D42N!`2^Y^|dUuhMQo^q5p%vj;8#3t3`=pLuXrrr(8 z%ORnqoGP20(ei7x$QTop6L9t%{gTu}GX7-5^$VK}uC+_W(HpE4GAZ=W~p zm38p3$XE%IqPGdRe3g+z5a@~}yG^QX00wp;vbJym{BlPcDk z=GUU%3B9#P7rc&q-7Am`6?{|gv3exPXb@a;tAj5BwIjGJy2~H&4f+$cndF!6BD9yZ zIKB30GSfgP@y*=cV*zze1ss*UnGM!U3@WO#HO?X*iNEzv)gjT3v!<)mdl@)>^llY8 z#yEkH{lsjgwKaA8Hf6n0)>Rpldndix`fUokb+~Mhv>2WG))`G*9FUiW<$0Nq{D%;%L`>{YY<^BlnY4+Zl?H|xgC!`ulpZvrV+FvgcAmT@U!KGFn z*i{&+nB4W`Az+Z1!ha?^Qh@>$q(fm_H(lkB9arU)}Tm$j+#A=2XXcY_;zC4~j&`H&fRDGO;hd z^aDsi2Bbx)kH*W}V3ym_m~7?F8?Gc$0XwdNeZ0K$&bNi@zn_Jd@zR$4g&+H~w~joD zP#K;_`WQF5HkS9RQu3wxAto2E4U<=ikU{k*bWiI*FF0GU3yXRLc)`h%`?MgYHl)b* zpjrsZPP)&TO#36Qyfvc@{-A_z`^gR8)b!mndTp1$v57o!Z7 zFmfc6e1Gp#h&xw&q!{S6IE6HOML_z8T4zh?xRs~VW$t_R*gQyhW}`+Q{NtyO$#-4Z z*ttFX>XN7dYuvjioEnn+cTymC*c)QK0hVz&PiZ~4yo-PJM8f!Z~|k4JA>n|N6D7|>=6m=+1=Xuj719hqZObO zHCxRy^>5zb@`$#|S_0RjDbk;lo9^wW-i1OxCUPWSHR<$suNB@G_?a36?8=;XnYvk; z>9-a{Fa*i0(3Hl6jNc$}rq8uf=rRdOUO_9qdIIxIKoqF=KUxw@$eTA+lNp!2Zd0+J zkg}h!kPQpC$?G6=*{B)~^yPT0B*cTe1TsVNaPUTamO0x7nqbX}!F9J1w-d#Q$eTnBgC~=L&wo8=v zeq&O){^2}K01%%gB_;KK5fdCWB)>?zBUP^RM~CJOH2zc$5cY5#NbjwqF?w_ zF+8+fF|NxxDGm1M1wn(;IztBWIKP#A(xXfzZtAQyI*fQc${(`RXlv&xYrmVnYai0F z_5l;)biG)^%zHk~!E)Y~`;}k*LvosnysbVz0Ccsc1?)(FQENn2US6D6npEyBRmL<6 z(e3IQl!IEB%W=n3A~5-`ux6zHeJg0-i`?v;fb`rKKCbN*abFt&YtUW6yRjo*>{pd@ zfqYUbnb0kOF#>O5KP^1C9QyurP|yDBksCYn9<}nWgzr!oGDi+t&iXVha&Ca@FzI#B+ZhrSpuv( zD98qyi>aWg{K}}4!pyZsNn;S=Rj(h@FBBVPW+F`G51=0-TO1o3N=p&%GAdA?>TE-30 zoL@jx5sB!^kJ`>!A%vvc4$l+{1dVBZXOffEM+HNc zHVOsE-Kh~t_i70)Ok6p|Wm%@`w$5V6tJzw2b&97!6K+1haq>~v=^X`q?E-%nx4>^p z9x?3GcO}CBeK$*;UB0Dex_Y3ZY;9jNqNZ-FglT}3E%Sc}sM)^l2E&_FI{5#A%>0-% zJT9Gdya)Yv|Iz-?gmI23%}gxPM=f{n5gqcVRlPl74lBvhY||o7=B^|R3YoSyRjelf z>^fu;R;qcE?)3CMU(w73Tsc{{t0Y#aJIgZo6uYrT8PGh#JbdoEpv7UW(x!%)WX)V- z;X-%350#LKw5)vrx=n0@IG1}@n;zLl@#sA=T(^0pa81+3^Pk{vvlRxLF$f(?*8kyZuF-ayc%ge{mGe@_{B1K4{h<}E z7rI09+|0-p@CPv;hS|ki=bsjLErbm&cNMm}l2H6%)y>X}hcn_X#Uj-vI*SjFsh@dD z6vqMWC9Tu<13rfu7d)hDe0l9360_BRUoz@(a93W;gYEf`YaBIaZ%R|40m3{mb0NMb zVO)|nRm-}x>oS;)l=HbqvyAHlsmWV5C^R%jSjq{_tvUo!2z@C&UfszhP#?%*P1C+> zWWaBMeXWQCv5W+8PSUj4Xu{x-A1W2DLiD%VW1bqQKvA~+@s@1TD+fG;WL%B`maE@d+=5%<|#u~+@lI&VLk9>lGSDn`+rBG%Hh3_0%-y=l2CJ`uD- za|w=b3Nd9hDjCsJVH?^Iva~mkc{U)QF(W{9wo)wkN_WDZ_^e0+$5J=r&(!;T)L%2S zyO?K>;1Ej|ycm-RcV_W@+p6JT=I7CvIj{+YM8p%CurbxRN3)FvG)l9GFyIV34r_ zbXvZY*s1Ml1N`AWBzW9&Z-2K&bfR0@)PbU^h+Q02n+?yjtO+~@S&ZWAX%}%7);&Z#0-e+l zzTyk~agc}jPAF`Sn8g{9T|rE5ej9H*xO8z?R@py8$tevy)L&gQ9@X3OmL?xiVRtVr zv3Uz)s{d}osi%>2>MkJQpVo?+*5V`{@CsBb<7b#(+G4)qGdei}%aHYiYkt>_JPJ5%6W$(hDD3?=z48k7=fFEr3%eJ+^MiKNGp5?bM zAkTW}x=n3n1|w!_Hn>!E&m9JR2X6IvuhQah?w+S1KMWdmb5 zU;Ji$ZN5l$*>`|ihz0*IVpPLBKdm>%8!EV*emt<14{i8tm+n;Mq05}M^5h5AOXZ0T z5>cH=|EZh@Sr*ACp@kGc)eUgH0ZHeCdvKm>qSC9mFNQnPVK@{tEXv&Sj}P$T(f#bd z;_ZkQ3hrunfHuIGS5c~nE9FiVyx>o%HdYa#Y`vNNY@p0Fe6V|cxzOua)6VYF`kV8@ zA^HH9FFn0engi7O5_JaA}qO7FRFb>V;A-qhx+Ph}N?2NoIT$iKa1X-toY2 z$yV%(cg?fG>wiw^Zy)4oER!I|7TRBwQ?}->wU~Uej!T^F+RIzf^h|QI2f-9enIrK3 z$}9aPD)v-K=S|r%Tm?jqtHQqHDqO47dI$=6?U2kMR7hC?hVO-RVzZV*J(0~tbv}k0f2l0 zLDp~of=<7WWFW?3;OPvM`xp4j`<46J0rJY8v8G<%dlw*XCdsW_mf2M6TQ3}mNlr1Q ziljj&E$MH7mC+=3*X+`t#(A%{DGeJUN&>FZz^qTVq_qlM<|@)cQ1nhiJga%cc57hI zFL527sOm+>c}us&9Pz)VT)%Rc>`8jl;|x5STdAn)+6eG;$-3$qip%#vq>6d1w|dQ@Q}BES0dp&aMl zX@2<6B)VnB;0bZXlYQwgk=x4+_LWN6psKV|7^TK1^-JuVZE-c&$*jOUJ3(fP3iG5f zKJ$W|2ujucS~yb}$Lwfx|6_F^Y}d}*AFhTq*_E{mjY-z@rk)buK8F+n#UvIkz2&z7 z%6TTPIUkSMVwP6JBGu{X<hoNiszhT-6Yer>H|fIm#q+ABdNy3(YN~h;*uiX24Df-lyD4i-$k{3f<0xv` z$3tSb*!aCouwmjDa#7)$pQ6nP3WYL{v@y5LweBNGtIlF0KvP>_ImRFY%L(!x=l4## zpWvIT&AQs^3~gDqfv+;Ba=Tb!VJsdk+pLq<55lO3n7N#%eM+cUdfw#pY2(x4a8uzB zo)$v|leILD{DsQ6iL-Kk26h!nGZ&&a#FT=ig9cAOJF;})zl%w&{u?V^e_MR%m9h)K(uvia5s!x^o^SI-!2CCxDAdI4;6oarEY zgk)8-st`fd^v{R{?&Pr9UV?^E2V^;wS1v8%3J9%1xNd>>^J9hyw4s_4VJ*cj65ymr z5uTTTWy>fRSs>WJ1}`gReZU;PFI)!kaM zWu>osn*6~edmD0H@1kS7Um}+WYrYECd|v8ua@3-{J6G;ao~OAB`H^>Np!$`NYwrXd z%zqIs9Ch>PN5T}R91Nw>-0eMbmjE^?vuo9ky6z*8!*`{bSIDdNV z69SH1D;dD%Q8*ovja5Z}Z_a-4sd1zjuoHe`w<`-HO%3=jwTB)C&f0Jf7 z1a_l|+W->l`(^7Z^Y@C)>p5iQ3zTy?>>Cm+S}D*3{Mliuh`Z?xJrX@1Uzg7}7K~ht z5v>uEQN!|2^)+dD4k%;GLq^5r#ilWCoKul+4Z}yYr)lITFWp&*UnMQB7A8FEq~{1M zdHArg7oSk==%(dW)FsgcTHSn-QJ;je z$+)FkM!zJH+AU0rpKkpbL}3M)Hz&{Sg0@HMd4aDwKTI-GQ!Z_osnB?n+QQ4Bxdz+yYV*5ZWKq5-zhgj)A z*+4O|=}i;od3SUfL1+^aFKB1JldvfrcNO zTV1}=`21xRuru@vU$3sJ&g!@2ad4ZXRUB^E90R$sWt!10K6(|=J#}^Vt2Qa)t}7Gz zfB9-wsNI4J>=$SEAIGcZz<&vmYUM1FMlr48ca2i~!M5_gfsrEImE-V#r) zA#e7K-CE==^1S$DP2!Nwi%I!%N&4R&z3Ib>~U&%UC25Dn=QnE#r zuTH^(zs7N^c~kX31SLb-f@ir?+L^J&`~k#UG57~lw=i#gCMebQZa7svHql)!MB&v4 zM4H1>NN~sPE@D_>Uts8WlQDk@RhIy)9bR^t^fTC>@Hp`mww|un5+ng$lee?J=3`~t zP7^X^CVq`*OJDJTi*rUShvBR{v^Lahj?-R%=_iFf+#9>>LSN3rJ|vB*$Z;WLxt`Jz z_zc=$qSN}#?Q8ZY2g$Fp((!*Y*6$zkEo~1h&-mT@5^d*wSGUh8GsIW13AQ1K;mk2h z;E|H6F0h^E@mxurKSB}wgLxzOyJo^+1X66@-ON`0gg(-FTX(#Df!7mzJ?3QMSK?ftJc2V*{Xl@m|p$RM*^zK50|oiUOPoc)6}xuj)cePr!UGSTVd zs{Qi{yKz-9)>q(n6K8{lZSk?So64-)(dFtw5gw7D8T|X|9sr_rMLC79v?i;AI2s<& zRW)-qBw#2o$K3Aif`4f=I6dUGv*S-KJG5*_q*Y3O5+=hnBP=CnmpdEuq4dBPWJy_b_O4O!#n()qnaMHpFwq5{Bg;mZmZL zEl`0u>VMc!MSnpX;#qHY8Zw0@nL;UDlcus`JJe|j_lIH{^qq*bhY}a~&h+CsZ<602 zW>9AM$Hj&{Yo;*sGc1e}FIA?B`wwfr#pB-M zFSZp+Gh0^Zl#}(g3!^S|S^N)|0Kh66?l%h4JIwYWlFXILOb@0sBYh zz0~)Jwc&2&t5fEAz<*CQX98=)gzlXlQpC^&i$#QVCYEv=8#}M4hmE)!micG}KDVu_ z8(-4nt_TM@`s&%~Kh!LLOb-<;$L=YVL$F5wi@17T1efY}>i2WqHPdy~-ooIbZBXIW zN%1Ok-5ofY91V z*`&cqH{gbKKV-fd!59vHj2*hXuklQ!$B(B-C4CRm5tyIl&q?b4@eUF3Q@xMc zg41b~tQM>sIGPu^h7%;ycp&koJFs3M7LNLto6#d!eObJ(c42uIo`3z;>TMb9$HSgm zADcdeRD6tx%;%f;Npo7n*UZnghPo@xCpr;0s-BKJB~)RzGz|pm>U5D+Zn=ws4;Xl=<8fTc1n2b*_qi1-O_Cea9VupgbgR_+Np~Ev(91l zJhE8pRc7eh9eC}WO2MeQ&2gZ;U&yV|E1u1JK@%^5;s#AU!7Wfh#t;* zvEK8mBSPq2adF1T`maB$ZsN^%sw39lJ+ZkkmVtmxFW(Qkt1KWW-vg=A)i;hk3`ojt zMSK@p(v1E8hNi%kC8bvpZUsu+jatE6FPNH`CI-^IP}wZapQLkJ#(zeFJ}_bV25nJ8?wM?1Obxtq!3B%BYO{BV_}t{<4@Wpwxp;;~Pg&_^ zbu(F2?Rcb|6(GryWA#+S5oijoAF`$Zc`Rt^`ujqPi+f)g06O3 zU1{9o+1(33FZIX=R((4^cHGYE2ie%0cZW^KRvT*x+PutP7+3xmqBX3TUFM28p3EwP zPGeScpo{848Op|!ANqV+*z&`|qE06<(`om8BQ7V&n(pmd88v{IsWDCev@q($SW!at zRrqQ>^Fp^wvgZKgV&8TE@@m-93&_<=?eZsL%aE2Hg(8lDlK7bQ$l6e=eXAxiGxmAO zV8k}hU0usKm}C|~91O#h#&xuY_o7m|MUoDAM15nTRFd?q^{rB?{M-}k=gQr!8Un-B z748O?E``7XOM@%ZT8eLitRD1oj)6w8>Vv8-3o8U5La>adbO`DTbR-oH5LC;J2j)`X zA#Ot;OqV{tWK+Cis(PLSu%<5C%_u}vXVNkW5UTxH4(eu}E}!e=be!Up>X|D&0#Py# zPK4)AUhz#rUF`Hx@zt@cgj}qb=6K{lKOD^u>vIpMZ^|pxNLvXB*LEYqCj}^9#&6|5 zMR?pgn=Ncjs2dR0(|PIZs5SY3=DVfHY5L>+O(8t@8R3sP-zQD8hQp-PNgIE@YyQmP zyS%hy3OlWpLlCmKb?WKA9!~PYj^U;ilDR%Ct8_&s)_G*(%BsGl1Z09ogyBr<@fP?nao_G4g)SZ zBGq1g$DvC@r{&dTPDD5=`J&f+w~9k;p*lVF-{pED`b=nbC49JyGxKUp;^i$5qGI-X zhL~0$CFtaP;N;huzAvRL>-{loOhfDh5K- z7HQ3*hOoe&OG0-da1|CSBvT$}aw;JPT~Sm=RG&>ucdAAwp(dkZ=L81Z=VTOr1%<)+ zPO+xd^H3C9V@vdl@Dpb7MHRg6usTtFTBNZ1)s%SjaY@NtD|>7zVHkC5Ezhi11IHH2 z1Ya>uR#oH53`T~CKjE-|5$$!)+cBWuyz#J7%6;v6Z~GP4_#eN4d~?+u%;C*ZO{bM2 zFK;f{&h#X&H7-d?f}GQWH&xqa1eS#h%~c|fRDOvm$cP0%deGn_sr5o)tv9BZidX5n zOLG*2sn!>d+Qs-|_9A_*ZM~TkGpyp7Iq6bnGHH$?4;ixjrpRr)x8gEMNMNm2z=k7v zJwmsp(;bT*B$>vG8`k8a|nBGtNUK49J3m;l22N}BCoyCJKWXRR-b_waAb=T&7 zT`e%J>0)n{nG2QAAx5t07JkmHX@-tCcOWlInUwe0?iUN;|D>{ZL&&7N%U9gZ(xO>NDP_`j%TJss zZK;NY^}@XeWlX^DT1z7feEmn%>Z~X#He9MfVj%*o&dvRH1Q>=J0QaU0iwzd^!jbEq zRTxLpmi?BbI~K^Jek&O0*iA=26KI={9N`b6T#{!!f=hP~o`+GKpC(zUX!a)$w7W>e z^d~SL|th z*;UYp6M+v>GI+-$8?L--klNqCC|vZ3k!3)?@7Z6)9wDxwTw8UyRU17i!F~$%KcT0vdi9lAV1Ti*{xDCVvd=#Iy0veLAJu*LAxc|m;e?tk` zMt{3ZOSet%6WBc32!`KutKD@6Yp(!&O4b^kCWqoCyv@ot{wT``@yMSFCPr@sD7lvs zI;A)n(57#U{!3b1f8j4eo+LGPz}0tDd;E$Aj~sq*Jm#Ke)a-dg9R({;DSQWMTTX zc7!PyP@4)@itBK-QtygVi+Sb*BE)g<4;`DQ7=NRabYe!&{N4L#%2UB5u0Nc~-L`9@ zc3AWr*J)Z%$dEcB$AYncApAE|{J)9t&aBK;)~UA%fQ*?&hp%38*rSAboS1B1zwC*n zN_1$(n+^J$cAEc3aU0{htfuvc%G_X47UqB#V^~l^LHTvz=&+F+=-xh zt%aRzi*$cdq82qM?q;KQD`&5wH?Z+jl)E+k-$z!sRIeB_tEcnIBI6tRMAmC2`%k;` zJr#q8mw5R;eAgFHz?mvts^PLpkil6MQ}TqYl8`zWp_-t%%(4Z$ySGA+d5+%ka#Wqr z{5tqJNw{bsUs%zV%+d%E?n_$~7ecYC&wfRX2-6&B>%69}LYeXS!U&LaH(h?cl`URA z<63=h=u`4hqUo{*py0^JF3)bv;J;y!=;INm$VeDxg!F9uSPa7nn(ZjMYFh7WU=@zi0h zOpsQbSC}%Hf8?Hnq>ZIM6f{cPHF_hblZ@c@xUMZD<9Y&`z}0lhGjl+bD0JQ1Pd1QgH7aaTnZ-r;yOFI8(AzZQoAbVuv(IzfM9W4*rj5| zQS%&CJa%hJJi%grxZpUmBBIc8Y^Z{k^+?AtHQkxAR3n}u1H|8 zhE{${JdA*86e1m!UVTcy#m>65xkuZ^`aYT36|+tM$cO+S~93Xl!y*N`<0 z2{4t`^wW_w?f%#FZ6aYh;dkfC0A!;&98-0I>mhGE9ZvZ;G{{RjNULx5Rn zfo@9y9U16s0-%_K^4{zuWof9?2q7yv(TM*eG9NDLJB-vRUYdj3A3It^g)A&gms;Uix^AfhZyNqpf|W zgyiy!9e}tBdlvM9&ZfLul=Ays^ntU>Q^c&2&!cvC`@m9J=W_tVxF`F;y%v1J=PsW?LQ+)Lx0_^&+>Wz84fP=0lV2+oS#Rm2px z!1MsBsb4C57F;C#crg+#v&Jn7UEpA7){2 znTzR%v%k$h1RU#c*lo`TX+p$a{TpQ6amKJIP&`xYH|J_~PD=Y$dPvxn;wy-Tl+#Q5 zxHYzNV>MchYFn831?waC9l-N50F9#y~s%kuDAy(V;g- z9k+C-hmvc?wMJHJ@YE&Bm3~{|LWqR@3z(P3kIaCHE5FBnWTR zX26M*<5_t?enp)*nFZQIy->9JDoO(p26cUnUPTG zXDMZi)^|S1>#{WzWZpMm?kTcNC7gS%|_^7y+H*N9JfFtqi(e<6{{|x4r z4iyEb4TzX3RsIJgs4&h8GLwyA+Ps;8X=1B9Oh2oF^%}5YQc2W&(O+Wq z%VVZe=?mUmbmabXwRxYU_^9+p2iKLM+b0h+dqc~5OW?fL5Y86aZCC3(_E!M!R!G>T zMq_I*|KOF@voWH2eD-^0+Lbbro-$`=6$u&F+khqcd?E?+S}L>X*Tza0<|X_HS5r2` zZzaPS-lCJM{0^*$q6F=(!j`*3)(fBXS_aky>H6aYhh)xs&LtJKFOBhxpgS)3ShnAm zNw9XKmNm;SqV3ND-1HI|FNo~;VXBo^*p9;eWqbbZ{udz$qlYz`VR%X#5?~)O4;1O4 zX^9-%$q^hPSqJP)Nhc`%8-ITP#R4V1?pHMwK~Y>K?h{*lZ6h)wIrE*8%n`EN&jcFbV+B3AL}l3RRkQT2+!W-F z(DRXjJ`jEHqri1VN~>XiRPA=SiGcBt%$e)CmX(+cX>cE>!FVq*pMN>vQCqPPyKn#9 zi$ufrjVrSO`hXB!%xZ*6<&RpKnIayec1nP_W750~K8z<&GW@(1-4D8pR2~jgiXKS& zIU#|ZY>2yH>)3X`XI$6j!ngJDk1uQc;=_=_ARJ+az{>HTy$C`w{8G=1gL$;s~le`D#ELV{2A%(#Jdy=M)Zox zKL?%4_sHPAJ$w7zy$Rt-3M@Z4TCytQ$#>2lwUCX6kr4yplC44F8^YxT?`iqWSssah z-g*xz)pr;ew9}9M+Uz!`s-!1r2Qr&5{_%A6_Q;_BxjFu?_N~^16ZaJ|IA;c_-niOW z+8&3|JVlTkms!6xDJ`9Qqn}F!%|)3_pLU%27`+QWzWG~@bR(Jr50!ugher->@Jr$_ zbJ!a8Lmqg3xJ~a8bRhsJ=a0C5OY_5|`&rVQadYHwz-tL&Z}rau#O5aS(hR!6P4h}# zhb^hFA!U9ir8v+$SGIx;xGM`YDe@259JcJ#%5gASuO<|#SX#9Qyy~^7v=8L>Z&M!& zfJ(?sNPh4Ej<`c3+Th~v{5maRo(qj`pIm^Vik|O!1$@_w*Kfh=0B@)suk56qxT<-CQ&knixS#fuF z=UsH<2ZF5j#7mrhRrTwgOQC5RCJJG|Ui+=%de$LNcu~$vn=pSu;Et90H`f*{K5wz) zkJ!PL0uMi+Nl9oICg{t1i!x9pz`0oC`QtQQU@-h zzthp<>VG4StiW}*VkZ?*<*|$u)!M}iX{dN&7DI6`cAPH1b7YnEVES-f9dYi+J5gA~ zH0j22Gs{aNOHYT}$06R=+GhyK+`5c9eyuzGbE z*U&^}sK0j`pdns2dGmQMXrW5%SYI`!PCu%SNmrOWs)T4~(DAkkvy5mS1;w`ub8069 zQ!a3Ob^myv^CI2~DoZ#7oV8Pj9cRFTjib`_lngt}A&TBE_nX%!&|LgVg3qv~Y&D(= z2@~TKu8*X26nnL?wO?PNIGcR#bhCO+=t^Dsu~^{D@X12BBn(01LsN7G6mRQP6nood z1G!DjX*;1|Eduf$VTQKcz$+`a=4hsmKUY#!LW$J-&{D%Hd{iI-ni(DFv@?0B=L*$Y zqAKW7*^MnXVJy5#JeH;S>7gh}e4NR}1(POh+bVu7@R>m8OZz10di?jpRWTnM%u?L0 zdAlOB#;TA`%;Hzv$T%6$d_@SvAFU@Tl&4grX^gVTuVtjxD;8XJKa;^{%CB@S85J6j z$;9ANcxG!crobCZ{;!XDrfRU13qG4D`Y9h*LDMUDFZP-@Yun`ejJ!-(9cvYRyZ&wF4~GQ;AwZL8}aL0-)K zH$F&PzZrs&W7HzVkL%HQbNOJ>lxjICyc%n6m&?j~MjAADyDEsFRVW)*NJ}>LV=X+F9|y%hpUn>0)Mit(o-5KEiWjjV2XoDp%nP96VzB?(H*=@_EmE zRrI>t8S~(#eJHXkNK#Jf5O>`_%QZf3LBoL)96(%$SrCUba;E|5(<&F=31#48(9qln zAHCq95onNwfLkM%!_$?d6MN7NCz9dGvU?0qhl)35?C|NTAhx?F{I+T1CqX)+Z-R>Gt;0z2Z^(oVq`^_ zpQ)s&TyY{6K8kg?LcE~0JbMQ)3NOMiEP_{%8h- z&S;W}I%L2_RMTbDlBJ3hw_u=6mE=nl1zIbdzH2K3w8Du#7;R6zbSt1VIx^!De3o`~ zGE4oR4!k0Ata|JZP#r#yBwYNPziYViybEUYAFCxm{0FoG_f+`xbyw9}8RiQ5>S)`cYLUaTPC0(>{|kI#2auFYcxcz#*oDUUD1 zpE(4WVH30}U#C-AG}RZ7Hh>@6XKi)|0lnU%3M_SlmrA|%_D2Neh$6mu@roONDyOda zs6Ug%n25^bC?Naxbbnlxb;8bb0%!ci`6+)`dvFRgoU_bx7zhE&+NqJMV06P93g)S1 z9X^hA3vLm2Qi7`yJ2}D%oV8fj9lE+h1VX1i0a4vbHNxc0h5u>LI{YQC#<3u-DPxCC z%*hD5KFe1I5QX$$l3PgWMahdHxW3h4s-_h+khtbxo^ZmQo#uIX5Sit~l6VKP8_J7Q z0La%+6_FL7P(oiya%$1-08$Mzf)Ru?(cVEfi$!b<$AMZC%7OLxsQP1J#_l2EY5kXs^5N7q8c#$Xe`3~je*RM zCzDOM(7=z&zdxN|1cUW4>^0k|lYjxlLwNSu#+!t-=Q{3f46o{eQ$@_Avq5!f*0Sr+ zINoNh7_!j*WN7X~G0PE5E`a_S{X}t3o@kk)I)n4A{8*{h3C*Pi6VU^q*)cV#clkIU zjogxRzw*!Rkzz`kxd%gU@=i;If>kHy1@&g4nNAxIU2#vrq-aSsUbX zHtaR%{GHugYhudSMG{k4^ilYP#+pFRJHvG)aKJIQmAr}a{4a@n9$(h`A3E+C%LWgf z>A;)2u=r#Ah9at4PgF42dq3gOof}q~Z0ka)Pr@h}U6gmHjt9wC7|pdNt$l7mTJf&A z--ecZlAkXeZKZ?OpY_8Jq9Wn`F$9ZUA+sP-glLznwF2?Zx~|D^z_o8@enjCIWWLkM zr}J9_vJ%gp>J&PGPp-&-+ek>~S>05V^VNI8C^8_Dr1rQU+KlC!W(7TyPI{KjKfl6P zw4$etjqNgl@^b?JkD)VhWWo=_xXmV;$;>r#v@vVW<{qKBN63Avx$klox@<-W4a1zx zeMC7Tq?$QG$PuBGBZZ%e?%U5l@jc%6c|M#@@Q=*{FnvLj46O7O}oS(yO6!S-2lxvDO91X+~+*BCO5%pT_VS4h!# z-hdWp*Rlj#z-V#&^=SKmWSb6*c73eaW^52$&S@hS#UJP9EO)LWCZPr$(rJ02TK8&- z>Zv@{dH9J73dpbdM?c<^c`i=;GArTwJ-%h=*a}dr?Ep`Q&$=DmuB3iWV zPla0FWL?@{AVrbIIWdw7>PAuT@;_OeYi*#kS5dHRaiJjZS)RjLZAXiXK~*R6^WEr+GuJc7+30&3n&+{WGcjNyR>2MpL8Wiy2r+hmkEflfsV)Ha2y(W+O5$jj(`a+*4>8;)q`q+jBJWO4=QoDj^GKsiBR zoCi|S4x5E5HKs^3Rwju~3odHgxAY_TJ&^wv4hVfJu6y1qjKe1v!?0BAbu7N9?Hp_R z+Pzx%ElkAXu%GjDiS>BFZ|JP{qiX4!KJ)C*&npf!>Vhs)d~WcoCoPG$>dPa8L^nmG zKrTTSr_Zks!kY<(yWa|nDy0tSp@YVR?|eqDIw-I1In>Pw&{wZ?6v@P!vQmp>GLcoM zt-x{iK>&~F#dbI4WS&iusq?NT(n3SER#q`ZE80mb%1Leqjyd#LCPWFdo=|FWo~lX% zw<%gE`6UNC$;;DnG-ohKAU51|-&~NUwVjJi@XyLu&%gY+ENPbbYD4#`NA0&=O&iC$ zK7N0)33zQTXr8P4ExN#ESNU(3WNNPJ0z}Hb)s_=0Kre*MOhLLnBRbFrqD+B&bof@9 zgm#kMYqo-)hP}A8s(63UHGi1jJLw355N8$sRY9tE-m8IbJ?$JCZS2z&eMS$=cGt-L zstIFd6t~_3TCHJic_Mpw99g{J`6$^frPDuB6+D55o4c6JfXpl3&d51P?YW++IaGQ7 zT_#KuA{l=Gr#1|$6qlS!q_{($C8DJqveP_tfx1w`z$_I{VDn!5H7fGqJEs?Ivd$#N zrls!DSg=4h+A+@3oVKsUX@F6aO`YzV3lpjCQSz61>o5K)q3~L0`(US`(s^rJ$G-ONpv}?UmJ@X8-sL4hYRk zE1~z2rG@$Q3(UgrnfojxwUqo$8*i5Yc$`oemYlaDF0Wj9W>p@^R#!EL*pSrTI$13^ zfwP@Tw4Cflw};bNIS5>UGYWATYNLZ`;f&nAYM&o5(~y~8k(kV0sXn?beQMd|P; zDkUnOw=QsO--Ph3jb~ONO<2?OI22^B`_fmVAK%4Sb%;vQ;O(w6P31#y&~hU&!SPXX zV|6=l7Z0ZZiII-h4Db>=px&M%IpgBHt|k9TTia3o9KFH(sP109D~6Ktdg#VQ-uSFo z!4sO2IfIrjg@HDXS7b|Mur?5kYwgL$l0a*umVc8CT)=_>#lazc!LW5O@=BM{puB85 z8+dyiG|mwi{u1K4r`SxWwi)%Q^%6EWJK;hC95+bM`yMv#3k;(GhYJqa�fhDm$9u zCsm{#1)hD_#oV|XF`gz$_AP(rC!1d>+);GfIZAMu=kQ=YsD)~LfGqxt@%u_r5)@@D zS?uG68Absr?mrM7QA9zr9==@Z(7_bXja}H}NtF=??}0q=;XRnZd6fq|iOr?AQxY{y zKASw}^vY&kdHef8!qACqGYFqtx$>0k5DD@T%K|@^Rn&C;qKx?(Zn<6QOB}4T+<0_c zio#G`52Q=r3#cs381F$-Ii;9M_ewJA>WaYYF{kfj+Uwx zKH3*gxooNV|QvST9ODOadnu@eI^ksoeW!Z2!a% zj{GX``aIvork9qkQ=Xl^#*LnE$ zSEA9s6T=;^!}&Wt+8VJ>(TY zuz)9`K_SDlQtTI>@MRu}nOdVu4$)IRx&z5Vie;k6zw!JVlGY?(?n>y*u6^;TDx($7 zrPkGqTL3&%-}dGY)Rp!Kw<=ol7k6>3l#Tuy&KfApbkYH*7G%Qx6K(u=Ta9Pn(l3PS z0AB$OFx)#W^(a~`ui-M}y7Y*;`baKxMOWESv)KK}pa4g1R`VuVj@A%UQ zj-ttgG|}Z8Nd9>r##cMg{Bc#t&}5!(BY8gHhU#0sB1ww&}wBsZr&*riqCLc8k3c?E_)?6WCx zp64**f@4WiWNmU2PpsXYho|O%gw5)tGmnv1aENhj$Y36HSmPXD3uRncJxoIx>QA_T zL2TU@)_JQl-qiHHdJLI6=@XuEIuX2>>b4zlMDC%?OU&C@vLo27p1EZJBK*Gx4&&A$)Tn-WkL0;iA=vMy4; zdPm6WZI|N|4Z%LdNF_l|gId`Y*wT4%oN1h61-h zzHF)c_XJ*vJivm&bJ3A*!dto0EqUnhdHd|=S4!L%=p*7+nFRgo9l$#DtIZm_(_>E9 zja33F~_AQ3{G+;nm_(|wV*$v<+9F^=XO~9 z#}NbS$`f_584Fj&jUqW1$rjoi?ax6^>P0 zZK8$Ei5#6Y^Bb_rQ1J-AtF-!Mr#Lgvr2$_WzCBjpccH__H|{yJ(LuQxHXJhKEaLx~ zoZCAxSSsdQJ(XQ$Qd>7sx~U|g9HjKoM=L~jzwM$k&^E&|)lh?-YJLSX=%x_u)$YrO%Vuo^hM^hZ@+X z!TFB1*2cjr%7M2oH#!#FDUi!-Tc=dn5S&oWh$3}woZpx_4$5rq({T++$m7U$Z^A%RJdas#IewGyWbbO!%#eT7TS#SIuEQb zvd!8GYD8*}-H{6S+qU3jfHYF-&v~v{q0>1T8x8Ixdiv2?X4ts+cYD+}+26bOn5BOi zRZd(bunAanR`&iV&UdG+iX;DMuQ6jEb4|E018X0!ryy~CXEt5?d@&tl>F8jr?D0|~ zTtdfDPrjgWJaM>Ldn^~5s?CfFmp}vng1KW;KO^ou_|m(UJI0jUK%EPkx`QtE!;V2q z@v&cRFNV!@YWCeGxs-jh;k|>j9%FqbJ4Ps;D(=fvT`kzj*^4B;Pt!cCr$V0%(tE#I ze6}~V^!SF@yTRIb$oNI`?7LIWpR;a%8tZ7wX0LPvKKOdOIDFC(`YfH}+l1t6pO0$~ zLc@jgLK@}zdvKacSSLaaS`l-{z!%>`F#f02jw5CMp!<~wSK3R87FdCzs#JW>Hd=WT zlA`JylT_3C98k@)qi~Prdc*z4yQ}!xBY(X_ifEoO?d+7ppF%6KP2TDx)xbYwGVr;IvJY4mB-FYR#qfWS+AF1xnhD=Q2SD z8*aXpWIikf}LJ4{Hp4T3^pz0^U2BB8EghW9m{J)HnC3NVwBz{ctaOBeS5h# z6+k8%(-6@@OhzCh9cx>fp?bTrZPYmns=EkZDN`3zs6k&hkc1Gmx*>FYE!jrXVo|Fb zrXc+R7BS^qe>aad?hq(Z*7|azJ&z`uU=7CFn<~}ygBD3Ar8|WSK_BD*(PWZVawQFR z-#69aS(rQ`Z=z306MC`vDbAPf+DiXAHf4hltZU7(n>T|}9sD$>Q4{jFJIY^!oQVBf z^U;|DE&CSUr@UuBojy^rWf&VRr2pEgAXsU*Z7SP=AhR_CTM14LC-@p7N<>!JQ9AyF zItr#gHQgYD9y%3?vLFDJEkKoy&r%@Cw8yrQ;qf?%VIp%q{|~J*O(i`udvwGRY~iqXBfTO;d@Ohu&^jIZ+dRg(}n#F zwbsD^$N|LLsaXy0>^^R;@0dCDw-$*(;_psH%Z{eMbAIF`xHaf|FonEh<!@yAK4(3`Q{5;Aex*L-F}?N0PnmnbJ#7>LnkBlLs7H$=%jyNirw z{adf~uRgU#Ivj5KDBCay%r& z0Dwj3rjd6XAUy=G-ugw2gc(&EN(WeNA?QY`OQql;lWVGlt{OKfOsptoh?0K6xJNxQ z2&hOlIXUWxZVTg7E6%_11!yX>(wqkBbh8bh!QnE6{nn{-e;+Z30J*gfW)_`S(~uLbN62R*R`DJx3F=Oc5e#$H`uFCn&^bX`ANp zWCoMuP?iZm%^bFXNZG376XZ0`Y!GTgse1H)h*8`5V|H$ZRyB*>2d7%}V+QeW%mnqk zRCwZAvqI9Kk(|dVdgE9X?TjE3rlatYG~w*17E_7b7pGWNl~I!t*IDWHnlKe6Z1kAj zE$j`Y*Yv~6D{{|017D&X3E3i(gT~l6K2uDu8@XXsTxm+FXl_PK%)2StV>*nXr!Dm0 zg9F0Keiv$kDIt9v%3B<%X$5xB9A4I%dqERv@MOQLyT&@}xv(%pd3RyZEzL?7h{?ct zS+l2n3A6eZ=i57_MB#_PPezY-w=%~4aGyo{sCJ)wpKmQ$%-*|0o=|z}Ci!(^Qf=fmfP6b@poM?s-0H{?|sx z#V0T+<7^F@D=_K?7Dz_L3++G z1qT=3xIx0V=jCBJAOxBBcMQ;nWF%srB8Jr=F3|%=nBK`i8V{7em&W(=!N2Xa5fpL% zXRGL5#x(D>);7o_=enCm{?TYu1p-b-K=j)YRltVp>=QLVZ&K|`m5{J~z#;TWKq25z zIE(QFO#(_cj>1V5p((kNh6*DZI`%+UV*A8rp|nbl&w}y+pwvE2FVPI^fj@K#(hq+F z8pHHAFF?r{fH}sP^_%Za8%>9E-De-v**lV!SqXE3Un}D9OHzd@`B{Iu4V6eKFBOl6 zY-Rb83qDuEe9=T18eH73w5vEf0-rq>qva=;vyANP@2FUqNrN_MZFZ}c$K|}0l-N-e zoUxJ_Wn_(n@G7}y&nO8=4fc*Mh#mIG@{*HmPDG?44dYX2*L)ju(Hj5SrD{XC2NscU zlDDq)9}wC|vf+2m+S4@s=rB@acykL*QvdZzMM1eb4YZ%1 zx_v`amiVI33SVl)^7uO6w%>;8Z)CkNIFGCk_w-cuX;2p`~c9d z5`&H$#9iDg$nMX|^#pkBhtNVfbZvX8bGo#6fQUq8dg=it77Y+d28j@ zLkyhQMQ6QlI$|o8inE^Ff_*8b`u@PwQZjuR`6<7O-HFA$fXrh`ovDfS^4EnyQwmxJ zEu0kwi;@ZbjpP%~MAY&?OZkHj6y8K$%kES%>!dqF<84PNL9rBWg27RaHHY&K+t9+j z3D`2nIEszjey_X&;gA>w9L}as?#h6ib1`8VM=lG?D6zCN@;qzQk<*oz+izocF{s}{ z_kS9B`$=7N8qjUbc+#D5TJNqH1?b4SBT7lpLF`f$x>@ zZ9les9H;0H3AG+7;ytSWBIGWG3lt@#&F76;E91`fTMgWI)p%p2QB(LjspD*Okpqc0 zke?H-biXG`%$L7j37?PUVX(XTJWFmS_6fSCf zFUs!rkH?r6_ge{k@+?TB55pu74q}u$Bo|6vqHp_UPIMT0sWK$_P2yO{aZ2stioII_ zO!8Oy4b-qNPx;Hr-szChWwr@Rbm}!cX9IosjeE}fU6W^l_WC42i|~q%9D&~bso}3Z zv?tb#rT*So=)y&(j96}JxY?l)9aH1WbU_KpJXfa zBIWr!;5q$nl~eq3ZT!~{ppHD(yhp%x>;=ta@R|*;XTz(W8g}1o|E?aF|Mj2E)Cy33g^0hDl0>Hk4Ew zFm_@u)5;zoU+8{^o!LfuNN#XfXtm%^R8w2c%LJ`{i_ipES$gefz=05GZ)=9hgv`XQ zOE3Gn8FI`murg&PzebX8LauOzqV<0BWl*YW6hPvfBCaeB7ZF*32$`BQkqEPv`NR;U z%4?6$Onv+F+|!TdOTtL}$=YR|^1_Rd^62-=;lxUhC3=s#VD(mD$BO>(Fa7F-Anor_ z0m#L^1K8AQl9FXISR^DhWcL6mof?>&F14IqimaACII)mcDK)3O7#8P0r&T!IIZFUO zhyfwsDTxcIp=i}|q;!HDn*fkwVe)8=-YmT2;Ey4;OS=ZOS_y6_n(22D??0KI4a_q5 zL_Ws1iu^lNbZ~vxu%XsHZw+B0bocbr_CQO{NxS_OZ8_x!GoRTBa!k=E0r?=_7%k}m z$r%v>HN-we!id*nWuX{~0&E50D4m~2_?(i*;`Ui48I!yT^v*#XUKO+b>T{r$x$;hM@Zn!Ay zed&O-$oQqACkQf*9enZ$X`1kRqRB%`K1Y;)@Wt{%FOu)}ZC=;@-4SlRTC%`Uw9{Az zP<4F&^CqWig{0afgWZX|Z`TQDagU}j6*oNZGf;|a+OGmhl%H0$xF7$Cu$f)Ze?l5VN|zje z9PuUt4VF@S+K*zxSUgR7Z4Xj6*4tBDLkb-vTdc9W#hlnAWNsZ}-icJz%tBo6ykBIs zOm1c$bR=oC;J*LNS!szpWSxE1wRE|f51-^!+8b0+mHD`*H=4Z5awLn{I--e;OTV#; z98D`+fY#)co+VuNJ^v+p2>f~`#Vh5V0_3kE=2KqkU5yW2ZYq^+RuIR%9#6&(Kc?8eXYpwq8{CW6D&(&ejMdF3#AZ|7#^P|D*enxkVYRz~8Ci$i5oV@#A|@!LNt^qyK#s7ax~k=QW~F-uKNNI+(NN*2MavYhiitH6KGwmTXyPax3vtd`1Mt2^|lRpU;Lrz z86%(m;CGiX+N%?>XZdM=ZW17+-6;bb!dexTVTZ+5bNg;~UFT5kAG9dxY{(wFk^=PL zzgC_SqSHEAbiIBn&k&yw$Tim2AzZ_xYTz{iKIwc%lfgR4Jz{N*Mxp7Dff95ZkZ7>= z&GmM6I(n3B`gh#^{jF#LG5Iq7;!FCS@mG5HgO+zIb6)YE_Z#zncW$QUEHL_vuS@{ZyYOKumL(nBnys>nfv4fANv z#qKW%^vE_#?q~J?ab=Y3PHF`KWv4`hJNabYAUEDGI$vtaN@s-QZ-@>T;SD`5p8RuS zndQg{E^^Y9XQZllJyeFyQ8e4NS_;Ic7k{gKcDp{7{s!}~zcyh#!?&w^MJ)RPe`nID zI(0TBbF@#|1IB|8KCExqZp|MXo9<2!4rYM1=?TYf;fbhYnu$iYqXd#!%=M@`s|pdzB*axu zIgBQLuCt9Zy!$0P$ z;&!ThfBSpp>5Q&}s(jLc+vL7wh_$GuOT;;KB^@`ma$q2MRm|*;n2&=Ex7t6Xq1hf6 zJEUEe9D7BRFk6L!tTr#b_71jBE}AH7x!pl z15_{K&SW%eKdI9@>1QKn>Fv_w&Px%)3FbRmO{x1LL|lFZd+Wk<_Tb?*-dgUq&YQv` zV&^OO$m-NT=16-z1zP^u$f$cJy4~0V8GR24FrEC^Wlzwo6q{?7WKYZoURLBOev&x5 zzq<(wdq4t=X<59f0v&z2Qw5X)%ZNhs7@KP#)2GDzX|tLrGiyuWw|By1u6^!=ykeUN zTUWEj+1kc1{@Nt;id7xV?!@vNAKwc(F*20uO@~s)^M;?qUGCJRiivxauZg*xE^wKz z@hO-asjj~}C*&R5sZiu39h6q8sIeGYuX+$*y+L5!o#q3&-WBGSOI3X07h{(7N?iz9 zJ3oY1CIBY2o|Z9oR6*tH8HjL7I}A7bC6BJHw-Ik1k>%ar(v|k=yi!1uXa8W_tCd)3 zej6M0m%8%_ye7Ki#^29a+C1|=smQe7+lJovs4O?!|8`fTg1FUqRKy->+@e0Y&m2gT zKiXPJ$3Bg!q7N&+@dMphL4LLssd0CT5zFLpM?_C3givB&Ig5fUoi*Tc3d*M_KfpRZ zp-3^Q$`qo{efh>MVUrwG@8@jKKc=as|5=d6^#$1>R){HY@|w-UWpRS_!}6ldHq~$P zST$&Y;inC3pm7+B&8LE^QO|+o;#afO|5CSZT0&$mxp> zW~cQO4I`TNQ5JX0+Z=_->cxt+K|WE9wXQC~fnagBf~4AP_n_jyIhQYeL#~jx@u9;q zCl|q938arW7+D!jlkvk;rtpZ>v7^Vu7*-Zer`mifvkbf9{3D?G`!8d-5@TtzJE-;h zEUwmT{&Kg7y9$Askyg=9+|F<{ktY!~Q$*O>Cr^8)&esV<-uy9=rQbO#TN&eYO@(_E* zfi)g}*phz3<6ac~z~TYHDE9N0ZdwG;I*lTy)4Y;K$Di()RbJa0LCO?M#Ae3!3lmmR z*WIl~$(Y=D4XW$awZkXwIOUg<7&QIQ*TtGEt4||C1#^f4lG2s5VB(fXIHm4-dR*tR z;s_-6Vx<+yK5vEfhDccwveW?9y%Rlj6>q}&t?w)m&HP*_M_aj&X^|T441j*O0*1?d z@7}V>6%|%Df$oT?<^Ze^<{R!36V;$D^DW8!_JpS4H=k?1vCwDv90nv8(2(F{|8n53 z7jez4PmF!TP2(uD)>WFUtHo8Pm?Rsi1jqb`Uxq?rQRdS-y+8*4M(m=sway3HeK*!& zrkjIG4JEkI*+{89SWm!Zg*{N zTzo}fUTKK)#uEchWM07DvBhn&W|)`mRx(++$SNbF_RMIV>`e4;~2y^%9GA3dV_EQd?}LZB)9;Qpv2U@IVu}%JkU9N}#IZ1ucuif`q!LGmS9hb!v_hbYnO24sR zC{1xdl^=7`(~+qfP-gKQW!n3R=4Hh3kL&l1sk$8tkPWH0O%M%rGVZuIEf8t+wa|a+ zC-RHEiobk#JlR+r+#sUx{#Die7mMc7r84>(9B-D}kTvy1PyRq^rK;6B7dgBD!gCio z5t$B%Q%ab&w!(ejPlNZ5+)IZwDgr=JOuxj=-1uwrHg+%L#5E!hpa$N}6F8DyE?~z( zMMs^Mf#hA*oOvx;DbE_COxoqBv8Kh#wG17&P%3mmD@tHGtfZc9H1qzlj<7}!h(-M2 zB)KQ}2i<%*;sk0`*TeSu-9CGk;*Io9jkHdZJBI6W=+s4W#A>cDkwF;ihBYV0QuYm0 zy3N3OOErUOTDbo}l@)X-_Ls^}dK4nmy8*@R=Zj7DQuDU8T%kQQb`NCpq6U{Du|rOM zCOrM{AIp#cG{*tvXke8mlp%QrRvwVGXxE)-i%*ToT@+Ht^mLwgZgo77j@UL6uZaN9 zKVa{>B+sx{?VP1cBD?vD-;dgXgzh>3)fPty@A)#{44r9o-^|W_P8SyRo)AegQ?$ud zr*O>*;BN~|bR%fO`2OF%K;oCQ2xMkhcnc|jYu?Q~_kfpA(MIdP0+Q7yvIpuHi zfGK0VPx??FJTC(>aO9uw_Ir8-mPYz%j%H_`63rKjpdo62kXC?ldM?CvK&zFDGAQ`D zIbojVA|U*F3~NW5^4c7gA-WIh|Gd^SSYc1MEQmx%ej9oeW!VX~ZRS+!QEz_xYX6mT zsK)okxH~<^8?M|p;$)T8SZ=IT1N>9VHO&^%G&~u(brTAsw{IT#;4?u}J@W63)Bb9M zt1o7WYyh0-9~CVgY#JX_RWy|%KaO9>cr-LzvTC88>+!~X=FuR%VA0I3`-aoV;?`Zn zRv&kEx!5CO$p690yvtC%0XQf=oj5Y{Q8a6DIWNS)(dNgKa+XP`An&E+Rj}gdT$!22 z9^Chhr^t_Vvo@gGl(iW0y8NUmG}-h`cX7d-=TtPMByoU(x1Fk~d}u!+qc)0sz>jB_ z0>mEMxu!9#o<90RImIN)jSMEal-j_`3B(j;4G*ryGAV$enaoACW~-Fhn=Rx=Czy>T zRMBccWd{7Lg;|R-=NQ;P6MQIskgn0~@zg*l(EHFkvthgn!viyX*5=wiVRwi)gbLW< z^HU*T#V*VROyy~fI<-t_j+;6gGga_n=Du>w@qypD$sr@Ju_Pwe#*{B`YEI>huJ_Do zY3m>rur~=!C9@}m`2uQI6ARFr>6L$WQmcK)>R+Lc~OCIG1sfM_Xw! ze}vY&2hJX(Y8F6fV3qCWfdtVw!}$!TF~qK!qjl+}MswNz+#52VL&%E&r%vW*ir_V? zgtcCR9gX-nnP)`b__3Wnd|T14%bs}Sq*nxtY zcK8fF+4wG|8B}Cmz%?GEk*4GLUGB2WqWM2|r#=HLDLTB1>q7hWFM9WZ8w1jU4H4xw zd4_~QbXlfG#2W|EoK|;ZOO&Y!Y0%spd0L#8l64cM)30z?68ixt`r}&m7p{i%x*F0L zL6BP9D`=`xI{PJ611;B>IS<67sjdKt_M6POf_)XZl%fq_Jz>C6j(g`%<@T!l3?)5d z+qiQAGWEkuu9=5u^W+u9Ol72rFlNFWp*@ZO9)_epOk7KD0~w8zc&vP5c}7x1M|O9H z&y|I%Uw+~r$5P#Sv+GX2)le?R_Kp6TTghLj7-1*HtWd`qtI#XvR>)UsnseQ&ZjeNO zGNzlR58+yK*8;z?<`t^BDb8G1z8z6z0dd<7_KFd!Kq=4QoBZjzn$4sG2vFaDXS zf*RIl(ypF;D*2L&CDX!e+~O4-zZC#7|FGZUQv%2eV5^NXmx3ErlbnUH@0vVM*hcIBs}L{mmi|A%We z(Tk$VHvk|tJmG6x9EAo=PlF_IB_n95uvvUoJ|&lO8ZaRs!RN4GB0}U{9i=f0d6n6v za-0`-g~ss7Ic<)5&%aeWW(e1wvCfp)=(Em@e|~XpRg3Zx^~DWwi8rN2fzvLvC;4$N z?VL6L;}s4jV_K~L$BUUoD?{fZRsQTA{lIGqs&=hU?_FvxbhO}LuNjVpmNii{;UBM+YE9T~FdA0S&@3}!n0*{f@Fc?3!)Wr~=_nXCJ%rJDL4%zZN`#3&~ z(~D|O-JWJqAS&$rBZ4SFwWDCCrxA`r&(t%W8SfWP4^=nkRV6HYv0FZ_SY0@6C)^}i zyft)3TDk=L5(=e%kM;}(FeE%b-{W6agzOF*&J!PswA z>FL;p(t@$iZ(ObwT+duJ(PzWW*mnZX+KR={#JG1x4CnGGZ`A_c?$^@vHeYK^K1LQW ztRxz(pPBA+m<3HAvRR;Gipe*b({Vz-7|Ne=W{d+$6WLwe&!{C7XMC`V50yWp!?_0S zU#dC32fYDH_mq)j zSn3#;$x42w1Rze`)@-IS8>TNNr!ceYBhonm`668^B`-21kf)|~2Tc?{jfgl%U|Pl; z1qRTH-_D2Jj%%h{rrshjH!E0@y&u+t63$$pLb~db<+bFqk_*(~Q&)M8jlmx$+fe`U zTcCzd?|@(QFoFHR$rRR;^RTQ8BH}jK=GPDN0R&i|Sn6`UxDq+`{htMo;NINecJ?6m zVE;djoI{eHYGhAqA8p{Mo*c!Js{Yjq|K0oG+{RrM-}>YjVX!xMC4KIy7WLx%n2{RF zP(&P_&Hg^--zqxqjb74r1LNB?56z}|hqTr@f(1%q>(1)cbHV4&zF%v6Z+j+3Lc%VA z1-zvqRCsG7?*zYQwVV0@qvy+rR!tS&lm3lqs+7eCQAx2 zeaIx_+Oh(Wj1i=Ux_b+N0{I(cYxxvM$i16JgqEY`1(+dq9Z^nyD>Zah4!$OmD1ErM*Q64e#;~V z?O=TL=+vPyvtq&@3F;Ad^7s2YGKlHWXdRWU`7rTKQG9e#YtRJFuX0FfbV#e(*tsDU zpW9QOdmd6fSW^TJ#o89c9uRSP zjKnuGs;^m>UMB2(8;uW|iglB_4uNU8dz`#76V`r(eX3I%@3QGp8a_a>khk5Tni-ogb- zEQ>qD1VpC`)$yh6sBlC$s)5m*rE)S?c}PQk*0bKe$_!lU{1(@^+v4~9L`ug6wbgNx%6JLpFF>|eRuM9fBs1^J$rWS*W-kD~G z+`zr4Mm+viuJ6h2T{L77g|JL1oA%Q~*5xXqj_sY~9gwDkPBf6S$ z5I!AOf(OO9l7iXrBN~BBKkULsCZYi!$SRck4Uws`Xnb7gNLQ>w$I;uWAo2_30TFG- z9|xGb1#&+sn~<0$h*+?f%SduvaFiRmjkk~%GA;{!QnbV|KLBG=t7@3QhOtaZktOCxwo zOgTR;#l$(y{D#QRJ29sv3KwdPZ@cz{ofg)Gu9?uENDp>i2|#)EEe2!<5;TG&?P8pa z#iP76_RPMlDC4A@NLqWAz4to!imaj)KNTKL@Ey+3dd3(!9972*KzUpDL^p;f_0_?w z$989r7Gr;TEAAl_q4=7ofA$LtVjPQO1#>x}Yf?K?AZ3--3dECA#}BkQsY?~yR0y>N zeYx7JvX{WNHGI+o=PpMauXurfCeco@+B+{?^ z67DFq#TyGFs_2ySuq0As@K=Ymv{$j}@bY&KH>;)QCpC?f3~G$NBzWq$5_%k7^2eF! zO|!8YMeeFMAp6U$V1=qVzF=hKfz-%+Atpal6dit28J}WY^|j)d;j~#K&$MIA9N%lf z0qDH@uw>a3S%d>b1ha;5zgh)6T4|!!k?A*YPmk&h)_9c3r`yog^?Suqq1DQs5YyS~ z+wZy3Zew6PIkx!@8zM2^D&wxUCfIuk;S!of@rcnia5t|rw^^WTk{x8Xm{D@l+Y5dX z#)|gD6#3{juthTozMCj?BwF#*vb0CB z5ofFJj84{gSaYOo&DjFuY*B0n5*2X(nk&3nUv5Bi{dht|S9r`tdetrMcB*tO(vjrS zTBK7tr)G%w6t4u#HOQQT_TT4I!$$LwYcPUWv(q3kRDow-)}$WBS>X*w^G&1Gn3k6d z9Ujl}F;x5o!5f39td*?hZV}r>$&;Y_fbuoL8+TvmS;dayro&+Ygl=#4R`*9_{C>?&HN&(Bj)IjzLc0j#aK%C=^ukx0K@8(I9P5&pBrkkQ2qSOg|? zg>ap1C^W52IaKjfs>(y(?AzWS)C?=l_V^XXCNJj<%86NT(eHXi zih)0BfSCK8^Z8?lZD*(M(#)lnse-ev#^MM0a1=^0`&5lFB*5oe zWoh7zQwIZ;*L}CXqvz&p*gf>RG%gBD_3+4g(jnCr=w?#jsk#pi1Q&E!)bofJWrfUk z$_LZb072IgVsHGeToRf#p@7dtyi@*OF3`Lkt@Oa6UJZJDddLi3$0N{qZ>2j<%tCuv z`)iffgMv;?XMYe9DJ!xrbBq*7C0(|qfo{nINP+_w&g6N#%XzqYx&KgwX)4+cC5S|> zn$G;x!uI^=j|?K~%>M0rSZ^d`4R{}tnISwwWpJgL_1G1evmu}guMd04h z1aqTkYB{?ZNAZnVhdjF*B*A0g3eA#I zR;}iFU9D=pb2|usc*nF06a{=gV_zlJe)5=ON(Bca-khNm)}nnjQt%&S{ z9Sj<3L@Do}|El{%_g3$=AeYdP0AAZNV{!PtwRn=T{dsd7EA!S8+c)O6T*TS&&HvE1 z`^h7KC!SQvDk>-j17Qu|9BBy@mFypf!yCdhBF?_&!trsSOA*Gl#8ns(1D*umBnHZV zvFrL~r!wL;<>Xgeio9o=? zlI9vh?jaR(Nl5OuN=QYikUF{@U*CV=bNT7>dA#1Q*Yin*)JsF+%OR_Gc{M6jWotXC zyq!DWD)m6}>F11UpChEaz_uob#Zxou6^M`JMt;nw&W|H@{pMwuxgAy2^!~Q^HONc< zqB164FkB3a-u2{RkE>jcRg*lzqS_rnU`e8G+}E)c2-cAMM_S-;pgfD}eq#`^oIO{X zsN=%}jgp4+aGz|3_7w*R?#g@D-d}tF{8dQ6nM{I7kflVku|&xBt1x*LyNj~gEK#hAJO(6pOf7OAPR_E>yaviet<5a0+6B;K~~B1{Yu;7 zxogJi=?7?-a^3s5WLbOAw25ZE7pI|1J!eQe4lR}w2DG~+l(jHSq@^HD;K91bdnL#Q zM27Fh!`@E{{VJlKG7A%pl{VQ9IN)&djKARANFs0nHCIJ)7mMr$E_+;U|4@euDc zb#p%9Q9QRK(9~!#ah1vMjYy)(ay=lzkm1A1X8X#)$^$5h5YLo(Is6qT)Hf=?=(UYn zibkE3*TJt%--aA|P%TizJAKm+(Fzi!B!1UPJ~iP#yKjl=L2HkdLmIfD&eF)dgmTuZ z!rmq*H#nT+o8DU|-37*AWIS#}3CQ=u7880KK49amaB|S$W#iKKUeZy%B|F=a(RC&D zL2p91p?Rw!k^x2Y(Pz7c1YQc=`7;4`hd<{J5h`ga116jk;`ta!vL~W8jk5~g35!S=31A<36S|dvDOs%(djB0 z&Tf1Q=C+UAEcg8V7E#}-Z0+n<7G$#AXnuUdvm9=`KcI1_2v4)YQUDi#199x?(+zMj zMOojbRiZq{osx(RNrXlbP7i-ELwJL7j6oBtV)5gIG9a`#Fnv1Y9;PMCvetI1mC~tx zs~IA>qIkXz11epUP^VX_e-#JIxjJH89=>&2f$$vK9-VGmr^yi8);;VyC5txxY32EB zN9=r@Xw9PNX{fbJx|}e3=hVgXc>N2d>hRkXEu2#9JC4dw-M)7%DHtThiR!e^_-Glv z@7MI+3q`|%HswHGYtzfb`R!xjd@p#h+&Z#kfq7#QJrl_IC%rE-lEmrJQfYYR#G_fo z@zSU0R&uP6^pgm9UX6D|PQrXTdsj76K#wfumFWEHBNRnea(|z-V|j+1^Y1V2i!*BG zJTReaLCPk$*X`wgLHA$9o?F5Bq!_%_T;S)XlJTJ7j<7GecH?jCOeBApT|JrjCgfiF z!54Mu&eW^Eh!C>)vagiRnnYB;P5P>R=3J*B;2Aw!(>lF=94K1Q51cTDvlx!56T%fH z5FPGVfV}tu9o`e9-iuaUZgCSov}wlzPIe8}Pm)I+*%N)`xOQ7S!CRm7;mW?fzx$BW z1gr;qEa;X>h&Bt+i78y=#9ptu)zMk|AFRrcXi)nW5ZbK1zF+?e5bL!LPq7JiO|aTg z6$OmCrVBr`@Ap6wD6E)UWKBu&mVjsq8sMcAwMqh6(bGH5B2O3P*< zp(#n+kN0b!IJTd6JXiorZs-YAJ9llRW@`{9qdbK)o$UZj3xF2Cr>v;aBNjMi!}P~{ zh}S%C3arqV?;(y@l&xcl-rVgy6|oKW8O=6gK@FU%?f1TXj1H+VV)F(nR}3w)A@fHx zU-D54Tg-8lpTLFCJM2;y9EyWu`q%_3#}2v0dV$Ai(7O3ZDcNS6TcjXCOr9*BPM)kX z>!goMU9#l?eVz^Y%oiC^8ar5BKbG>bQf!(E~qTMO{f^$Xv`!27vhIE18PMtmy6`Q___Zz^i zR2VvT;&!a@rWo0Qv0b`Z`9!_V-ZvoN6aRQQ-wS=Ntb3?o{I!ww_rvMxHYT__Kl``- zr!u%?By3#!25hw|X$Cc^cIExCFRm`QTn+!~_ba&;0()Jb;}@|>4+>bhO0YvEL)yIN zYt|kXaO-Rw@&o*3q!xav+5=CMz`3F7dBe5tSB1>&uPC{Rzj(}zC|kQIs2FxkG3qg9 zxa#>7`<=!@`bKi_056lLuFin^{t?R@G%p(V_!HLCmQm( z_{W6!j>&mq?J(3;ObB${!KYa6NT044!DdUYyu*geAnjMh3U*aJO_eyuEHm!gmTwpL z9FyNu);K-g#wrmekn-Pw%nL0A?a5T z@4ufcXtevpwp_yT>dn+eyxt$YXY$MEEKeN~xg@?5js$HX%4(0L`Hw~>GviukG9o7d z$vSzX{y+gV^aCVx|DZ`)|*z`zP;;<(=7* zDX{)J&pUg8|J=Eb^aBH5l_6|~H@x*q!KJ59_a;!MRh%OrSJxvQCncXNRKHsgzOxhP zK}gz=yTY<3fJ>^)UEM&(80uZZGMU}_v-`}`SUFYRgEG(TsFV@RQ`* zeo|{sZV4@3%Tk8iSVWuCrCynbzUb%6Ht{@XCS@gRf%9BvWb!v zXz}3{bmKz$eHq!}&b9Gko8#*O&mFT9f?TflQ-W|zV@8N3w?vY|L>&?ljX8IwW3ozzCe zGT`^;grr^bIMgvzm;6MIagpC3Zw*4p?JN&Iv^?8)%#jpD4_q4X43=#?V!Z(w+6uGg z24?F;Ifd%J88}yHBGRLpg{{+SI4Y>x^*(R*s(ucQsjS^BPik7s_ZoGTRP(Dx6~piU zI$=nChbmSXttCF%s~v2)>Dl38OarCqbXyBf{o~ zNAXj-*Vcc5<*3jC<+8|lOVejH!JDpbpcpqAl`lLM}yHQl4ywoOkBNsILy@n8QmVSnKjF0kK5kH+p7Mz6cX;s`e^s zW{`^hg-ds6%g8~<<+*9{9JL*NK-YH!ywh|K`ux+76=%0H)Li;R5yG8|S_AQR{L#*C z=bNw2hT7!>q-#I&OqmkzuWn9XZ z^SSOM?A`NoqIAI^*cEW9w$p`Mq^)z# z^>WPjx$_>^ep-m0ztJ&AzZ~$$%gsGS&M#FdQ8C3A*@bIC>rK4s!jwox#d@3S>8xew zzAR6+boVFAO*pln1K7@?v-6ACdE68b(QQ=8QGdu=SPOsC1%CMixGb}(II8G04qcHp zV8AC<;pz`Nape^84bA95ShG1Hlljmy@!V|8=Ix%#Tys$IT&$Z46lJAJwt&;&$+23b>oICk) zzR9^*B-#ESPK1HFVODPxzw7zI^h~W9rc1%a@RoNXTEX3Ob4@+VA4ShUaJ;o}k@7dw z^?tL0rce_emtuK0maKcgD`WqamcQc?-1f0q-hfDsE7s)S|3-p$(F3d_M=+$OvE#HfN6DPfs$3Y zJ!i0tomXLdF{lvP!(CRYzb?kY9uCJhIot_Gy}SHN#ZtF4krB0xK|UZsB&20aJyHFp zE|bI#oG_nf-?7tNuY`VIaK_)0D-X))Ca7-!VHwVY(p_8vCIl0xytJt@(9u4pv)w?R zNjK}_5)-+j24oZ$$8s zPve%?fVv|WRemQN1RJC3+q3yDVa-Hkv8KYFi`Am_&4}-P8OQwzsj{Rn0pw6cF7z4# ztOYs|8nLAFvadDA4h$bHpme@5{DSmfe3bn_FK{C zTjk+96iDT2CiW69g1t$hu@iXpKB8*EnjAz4pP!(gK zfNnoD-A#+F#G=EZ95UC4BVzKVyejh~jqAJHA_j&gkx?y2dt-R(YOJFhuQ6384{+%| zp97sfe~1$p@)C9oHbsU^f%{n*vfT0G@kCxTZROP>}z(9?*2K0ADWJEzbI zag;N}QDUC#b7?jRi!HfSKYy)Uq$WE^eU7#MR6n9JFrVq?nt-tBmMzLO4h^l8v3hhp3&{u zeGZu;-7y}L%(2_agQb=15~~of|`Y3%E4tVCh(cQsdiO! z*%s`id(&I%b1OD#Y2yr}e$ZV9NkV;ybTHnIoEeg;@cR6#)VNTxl-6QY`g+rH5$9CX zw}k3fTPI{n>h;tA)~IlYC;95wid%|b12zV{8@!!DcDHBbUf&V0VAmXKRBK{55_2DPy zk=g(IP*y{)WCcH`pNQijv__7$eg4<>oe-ULPyEKEFkgr&?s3;Z#*K|@ z??gyH>$_k4)6^1k>LRY0rlgW^-(z89nLl#Qe5ts2j+G!7e)XG5Dmg#!^f|kkn{f)@ zNE)o*Px>R#yX@z?3&GMOK>vM7#mtz{j`(a!?_(#FA@?!G_s&CS3QV0qhm|%djP`$i zH5VB_SJD&q(#(OR(Tww$_xHEbw0S{K&t-U6GM{wGh^Y|*q=H(s zD1DC~9FXu+3mt`lyp!fr``04c3{mb6ihQdxWeRndhn4K0BYD&7fe~3L^%J$bt@yB<8yRibRI|B9t&>S|flq>9g1ejF~K7!-P zVjW7!I3kyzsHG7<4m#SROWqR>v%omY4nZX)D0rrw(p@!o7y%0L!U`!UhD%|QrpLXACm1>=lWTnIG?j=SR0x@dO`EhMM%E03azfdr@#p3svr=iY#T8` zuXnCZld(-v{I%1f9j!)Bsr(~XRIHw>qOQ{eNlavWM>Mavn^4(o*jIL}z(rLJ_MZv@XYcqM^vKcA1tmDkC2q%Hz0VoY=>a$cKECO}i4-A86t8^@qnRODc2W za!CFPaEvItGKVb2YKH0W;PTDXmNB;>iQ)MX;>A%9R0mj;D7|=BFS@XE?gP>Z!ylb&3eSrKp6BNzl*bG&*f6(x9%b6{O z!i#~;8eaCpeHNZR{0<xjykmhll{4ljg~MTdUb#R)9<cgSuATPH}`Bs$q~`KKJHU5{1@6Q+Ty`A-zow6EoGq|^DnO9H$Qr(%Sw zrB9Tf2OZDXPFXh(ZoYQ?8aRXrxSNZ%`Yyx(fpVrox0j;l9Wj7z>d7rQh^|;(3lB0b zHulxf($x2U*t|8%heAUzFt{a2O+<^I&3&@|`vb*KF_8mOP0`HP(g~uwdIc>v3gls- zoV&LN>!ckn%fJ+0U=?(yNeM|BFMjdAU*%OM3z|5=OocI1CbE+zhLgLufi|Zje`c|# zv^v(#pLD&T1rU54fxy4>c+wHu->RZ0of5Je`@F6Eri1A74&+pR-0NhdQ+IGZMuH@)_gI01%;P?re9Z#W6ihj96Kt`4&jpP$0(NWjzF82vcJ z-~#ydj?ly;*glb{O{o<1a{bJ$ang|gAc5DBjwr^on|pv&NKLSic4x4aah@dOlVj09 zZSX4ZXH+c$kN;t%51HcY7NTUdJt!&3ny$Ex!a+_`HH=;0{s|NXHh{}F;fzyH#?#SlxHhdMl16|%7dN_mM`~t#*)uYU9X@gB6GGqN42O?RnBa3v-&~4!*|TybpC-K z=zO2x+bGbFKH!dpQ6lqPgtLVHQA#j*y)FVSq$S`Fy4R1gI^hg@T>z{Q5%KZn)47gr zjaQnA!hGJi4V2-BZc74^c*A3!gFe*EsUky$TT7AzIW#?5{0WfToq_ITOYgy#j%tOu z0Qz2;$#8acDR4%C&&9U*YoQ_~iK6s&;=8_gH(QL4+xp9^?)MRJq=I*b+3f>bT3mz9 zL4xpirmi_ujkJeS_w8W}N9t+`cn@X(TS^|0Y}|Ym#JC+oNPuRN;Gu$b{TKc)<7#~` zD?#QeZ!oC`?Bt$iJILv`=n^<`o&7T*e#b4>{On|+n^aHGQ#{V2QR7I_ zyYKBHQ7KQa-|t8g&$Bz8jLv7kP|xR5Qd(>_y`o9Nm43vA#cKZ?~>@=91$em5dG+Va`Zf8nVW_ojm)%t&K(=?0lMiWR4VC^Yb`Lz$_lOTWd8u3E^B$W^pB zB4W>}Q1r3D#P5u_FfXtftqa6Xy zR^AnNY>o8tk=J)xvLC>iNyPV8?P_or3Uh6o8{@(qa{D%1^=fq7_x9e0x9;$N;|lAa znto8HW~Cfy$Yb-PPBEJVU^RhdC-oHgVWk!dkGQNyM#0BUMJ6f>e^C`S@6E_!$%S_~ zYgc6PK$qZd(7n+&gyS2xofLhrdkEAn}rA?##85g<`iZ4KzmpegPE0wZJ@c7*If= zjtMt>+rN4h9@Ko2`*EFjRdUt-%QP3`FvCI7+0fLced8aLsAr|k_)8Xo5*8et&iyRj zsj!}jTL?{K^?s;{pFOGlR;sq;`41B;5c;-FX4%Ny4~#O|9ci0M*hBx-8X@ExYdPmV zQ)t>DJJDD?l35f=&Y$eL~L8#Go8#4a-~?DO@Q3-`FJo6 z{X8gDwkvS_*wM3WmL%x4L)=}NMqm~y9h3U>mkdn_hyWjPQ{DXHy~!%dJ<{(o~_ESD%T7K$yUkW zA1so_dmuKGzAATZf@;0aL+uVNvG1bhpNkhbWi=UT>kRg77V6+ zz4_6ZasKb6DHZO+Ii-WU?+f*=sGbQ_{gsuk$Sr_Nb?=w%Dz2@Nke?N|G*OXiuQrkI zZK*DKn-jnh_ps~+7;r0Xf$u;<>j0w9a_DjpME{acF~XVjmS0ES0iBO1ZXPNLgAVwj zj>=j5BmQ}P_4mVENg2?XWocNsY+pGR(w!dhUIKL9_%17iCCm$ZPx%SA(>&j7HU6G8 z5CwYA^5NX`wNb7sy?Z!c%dcu3;kYK|Ug4fp=w6ZNQ;#2wvjo*tB-t>=Nt)bnVLR5d zQs;??jdVh+mWhClUb(RHxwH$6rkpZPm6kudnXfwkzvUo{h+^inhJP`Une)E33w($7 zVO_=GTh$z())U7bJ{ObwztZmYKmIw~$jQMLRO8>*Wdr3LxqOAYzW}JnBaM?Se4M^- z*K)Q&jE4J57`y-a=4RZ3J5E5HT!{+l)6uV7s05Y$O3|T>bLpWMCsk)w@?Cd)TO6ea zz8JTW_vP`7z2OcMeXbYUyx8UScm31TM>ltJ&p*jISEqOC>SgZ9c8BF1n51`4OEp4; z)wfh~?7qWTN$FuxEe91b?Bxa8tT0Q4s@xEqGW9o*P_C_IiZduB&U$7dl0|x(E?sP{ zmtrzWpc3RKP{n>qUMl-3r-bI#- z62IAyksQ+O7QdXH{#%BeUmOR57YU;0qAir`Caqu4hanfI6D$O5=jaqky!ctOE69r0 zAp2TM(#N`5Rd3MT#CB3ep~9PjxPS<@udi@Kee+TozVLnV0z4yf_-bVztzt1C?Sf^) zdPzWm>izbQ?`D^MizpQTUpcLAgEh+dT2JHd;1I3mR7G)85ZNgZow6q^M z6<{Im+??(_k}Nt&=Lk>t(Joe<%XO`s((WQ830L()$`miwV2i-#^w0wG2}2s^n1@ig zjdkT=XPf3tuki}DtlWxtsw^cbzY%dRV3?TgQ!@n&uM)6>;v|K|Ws5syxe-0WqZi{7 zPi;R67kflp`S+EVxnq|A;%SL(Gs!%sp%m)!J=w2Yv6T^K4S)`yj?%@=J5Kv=QGk#D zu0w6(A8fR-Si5}+7*K=cw=xCGNE+n9ZmVFo4a8?B20PnsXZ+I)(0GKpHS67abuFc4 zDSK_WeM(b!S|*j#3{vu1ODD6a)(33j^N(w7V1c*d-CMND;)FCLu^%CFwir9@Mg=cv zN9w`eYHzmETvH>Z3OtiFDX~oD1T)omL_YCi1xuoinbFa zID+$W0phu6^b%nhs(zOH<)GH05JMO^Q<$~P5N5Sd6j-Ex6j(zF1*?31EMx8WL>^hK zIPksayb3`PrZ^i>LqdC!=(t{z#^u5~4}@@PMa@MeVwib)r_KX*SaOd#s|C zsp@2{{F}U_z=M0H`bc>8=z(19r*V@Vu8-+wjjRLib1d%DvZX^R2qDBcaE4DJB-JO} zO?lV#=GI+!fh_k$t&Ph!?P~6D_4r?W11snCtyMpq6%uHU6nOd3AvM@@AnxcFS5qoG zV~aFnNL9H$MI`>$v%fY|^7o0dB4-IO#L5O`@pL65 zG~jH`6gll}LL=mR#D?W9CpS)cV5Kmk)EL;Raq3>6^a>q>m=_uj@BuuqqJwLunUKJC z)2N5oe&H%~#<{$!j)m|Vd6kZ5=k_qdR!7Lq%!HQ;SQ+8Q1d2Ec#L$jWzS*ywf-7%L zudJo0V}8E+g3-o#BP>1K6FIsKT#{N2Nl(`|@=31@=Gi1r$h+%0^*ex6pP}{G&9lV) zS3gu06Ko^nQla(4At-StOm2VdQg;R^{ZPH@49}s_@GYAi-XD3=E1zuKlaP|6xS4yX zO(EK;_*!FCccg%vh4`b-8LfFy>E0S0<{*rE)+!lC zu1ttK?}bMwTTeEV5BX|dSQ!hB$b)q`xS6Efg?C0%rtZH)TyN$CB(s3Jda7GX`hkAi zK!K>C?7o26YvEJ{d;hTja}20~WG3&2&QQoRn9JyC_-G&TjKCtvj5CjE%f8^hWK_O) zA`*brMhen5?Uig22);zq(0i1s+z=x7;SpmX@1n|BqjJ%(e7*7B3Zm-ihVzfv+=sL` zjo+OA+iz-UcU+N(rZUj+%BN$$AFYw)HmMlMXH{+FU;7P>Wz#ubnr8Z6qnH&GBIQwg zOazX=9uRuCWoO++{CbRV`LBVSm@Da?>Xl9CzlDP0Zu3n?gfmJ3SKr>IUcs~=(z`a7 zyE!wm>p!tdktlKUFl$w;|Z@ED%zd*E?d|?I6H6zRJ{m_W+Uz~PBRYpfMVjBe5rw4 zDKcU@$#Kk+9QFQ#4pKS4`%k_A4}~W?r$V!Hoc4>uSlr4&yvfaAx472qgHnn^Kx3}!hvd91)c8%jI87+rc@e|u?lk1!uw5{MI`_g zx~RU3Kp7&>SY5k*DiAMZHe;QPx^Y4w02J43G^SmB4+!K0w~wc3AxDI<7>3CjpB-E+i;S_G6 z9|wn6@Qqp;Bcq@3=nv&k6| z#@FH!6t zWS%J?*}poHf%D4l;^60^N8I0@2uh3{lqA3PJ!n`e@n zQx*xW`D5n)jQ4dWApL6rhVWr8<1}zRK+fjAEQ!h{@viNet6>sL^^zyNlPz*nTv-I9 zTXJ_S%?4r}jIw@N+fuGn+}|Q#DNdzK2|P)xIu)G>>d5GCNm981-n8TA@qLsc2q1SwzGsTR*5yY;Rm!sO8g?dnXihTuf#$*&N*(WKuOXlgU zrmtJ#rn}Z1GrHRIa{_$N7g1EWXT^Up+55m#)vIX;x`u59M5nfuKnEKbB`Lm4kFu4N z6XLN80K`m+7QgB~-$G@@7~;8Es#|D7L%!lt({@Fs)c^OtTqlkg$;b%6rK1IWZm$AY z2TuB!{UXpaAxWEUc1aI#k#zg^K{cyc4%%TOs)jepYgg#wMuMgYBp!FTn-^#5)58{} zK*q&{Z0jy9qb1Nv3C)30>6e_Ofaa5T6594kqqwEwN%E4P6`H3C-e`}nd1SA-FA1z= zAR{L74S53`7-r6oUYIEKY^HB44NanGVe1*k^mQ`u6_cl*_Pz$k6o2yvv zz_SJ9BHA-iFFW{r^Yd9nr9WKg2t*%UrbQ&z`M=*NgdzAiw0y_-B`SEr!J;q;2JXT0 zdPHQlbBXhd@HYyX`ubQ(D1(!QUck2&X~e_SySzOGwIU*e9AOsml~;#DG1!%v=G*1q z8Nf3YQl+y=lRW@?y>$JEkpwwPW3!)yR1f!;Q;Oq+ykmt=73C5Fs0z)m?U*TcLMt-Z zL~U$RxHL784jlX4z8H7=auR5?!bapTh0`{$`Dk=Rr9&oxqNSYY5in{kofDLsgYe|p zjBeaVCteg%`3jJ5#d;fL=jT^repFZRX#(68dnP`q|DJ>XnJf5xYJAPXeItT-_oIY2 zPjNUihvG@EAwk_s@I(mTucgzsyTO=`Et{GZoi3fefyzeDxzYQuY6Dbk%`djN?-w_9XR+6Y#P(aFKB z`xW{T%}HJX!>Mq6B^|K$h#ah=Fmd|Y8qJR^FY<`M@S>wcB31++gC3!fSGcW z3W`dg&N3hx1s|&_hA~Jdb;M&>Afijf7V@cUrLf5%cEO4-YhwG>^K+fjM3lK#n=oo zP)MAncmMl`Cgl*CsLaZ;yq#K|j%hNFj8J+Y>zJEfk{tnO)$J1%Fj}(@9IM0yx&e;QE!^{& z8qxLG`e9tBR2YfbUVeJPT3g@ zgr6QMh(bCXW`B*#-+88UyUulGQs9Ph)WD+1f6DpgUG7tcP#I|ux|J$Mm*V@8UswFe z#ZTckpkyRAr_Sa+Of&5R7nzIkAg;6AiucL&XNAU-AAT+>rKEMyfBR?gc-T&Y_lPa& zw&)vaF*jFOe-g6daw{Z9tps&C&$okeQZtam(-ijIKd(Notjye!$?j(s?NUVS0_e`z zMB&9xXY#1NiYX^vvciMo**f3$@`FcR3e%zo0Ef=D#Z6 z-}}0S-#~3gUShud5(tJbO9Hf2@^!8ZKp(Poe*HXW9p%Wk@>Cw{Kk{GGl_SYdA73oy zN46-&LsKsX(Mw zwOEIqxwIMvH`xPi$z=TJlvwpr((CctEvTCV!+#a1Gg4*bkQbayImmI?yUiQacE5Z# zHMA9+5GV-PqJ=9`A0%@O`AXmS&6hrwX^&`d2Aj}ry8-*4=)%Xjk0A|?KopV!qnzn?{> z8o{PNMT6OG?Z3OPUy*0ZP6$rF^Bk z6Z2TJF`9f!=ZPs-@}{z^XnHt3+DF8$|Bu2$0{<8mh6(4*pKi4^|C_9k2Z}9S=bqJieTJOnYQ;n()tNQ3*q6@w4JyPi^ zjg%L=_;!5ssNXsro7apqew64@fVmH|Ydu07e>Y$Lv~VZZ*UMF5PRr9eecQ_$b3sMH zewu~l<|`;BJeY1@$J;J9e0Xu@`2~(`*{ALCGOVH3y1R!?9if!`O%;S_UhOr|Zlwvo zY!6yG%JYLWV2TsJOv%23yec>T&H>du#TL!ot`AWQWP>+yOrc|>)^S|?)&qvNwQP&E zs(4e1G=24kx3rTB)6qiLZqacR|D&N<%pkA5-#n3*1`?zZ69Ckkq|ie>R{HDh!8u)T zs&6_?>`Mwc^Plfp0*Xj`9_gU}xb=J!91Pm5h3ECE$Bh+kI|GVb8Q&(&4Fd94_6%8=51&lXdq*Hr-^ITbfQs5tagjsS9jU&aSX zv>44agP4c`Y=$473H@culzl)lcCs zj6+Q?XxjK?De;N%KlqJu5EE^N?PGx4MSaLF5rp zQ7@MxR@N?mUwr+wm!y7nEw{DGhN;zS)jO)N6W10r+g@Mo=s2vPdDztUf#Y%m#_nZU z8|&advb#_-g|Kb{ypS@sXoQwOOq?Do5F3v2 zR=pH?BnJZ))aK$}H`LtPm9zufiDcDB<1CIh44!ICcAOY~QRsuaE zlI~8h*i?Eet#=SVok)T*Tz*v>*t< z4sas;rloX2T?6Dzm$-`T#_8VGAzrxF`mKW;^!L~y6qsX?-R>%#??P5k6sM)ytmRc< z%i}G_g{JE_Tbp@@Q`EIBg=y$wWt$9@PtVronmVh>z7L5R_MjEHHtwAI@0f-O&Pym- zCu7B>AG+BEaDh+PE#@;6X%cw^=2X|2!$3jV?#~Q7-aV;0tX#CSxIe z46heq-xJmkL2Y2fU&H}qIps85vm88dlKNP3QSy()-SWBalhH;FeaXJ2QZIKY(5S>- zgd!T5N#yo)TdNfKOr>s9_~gIHk0FWc;+;Zp_aEN;HT-9Nbxzo31H9XKEds&_dBg&( z7}@*MyrQY-AqF$PLRmia5OvT6mScK>!Xq>w4NSgo*ePI*Vye=Gwz8?^MS)4V=l67e zL208kC#AL&&WET3UQ#{^tvd^_}2Lq!E*2pAr)+m`pUL9KYQ3{jh4v_=@xHr8CP zQ3gvoXbtPy&k8j04=98*OljD5RC~7MH->dYNR`VjJotGxRHPN#bhCQFOvDU>II^fM zqCFT0AN#~8PcJh}?$arTe7rKk}kIW##cR`;uT5uJZ{q338`83CrpOl4sT3 z=j0R)4|KE}zjpMC+jqKqKEP#Ivl4Ee;{wL-UOVI04k+(g1>q{V86cVrT=quzqv>_t zxRtMXc*BIMfk_FV##VGcc@_4nFe$2Ph#HVMrgatZ^kTj$gY6bZ-iC>j52_Hi-xsU4 zDB^3dHv(D`IQA#2*1LBd#%FBZM}3}AZj)g7yg~wUQr=WYrfH}pb4Z)eXKYnv3Q{6j z2wzPT-N7T3qbU;HkFU6`5D2qCb-dN1Y;R9(L>e z3Zw;jH_a>@mgklp-Cn^jF(u~Zs_^ssBwUQc%4bzONVl=AN9hBwb?(?k*)Q zsU}Bs40)C^wMz---1_l8=ag1?qD}hgY+hkrh%k_9&o5A0{#-z8igIugcKFw7it5h# zo04Yzj7mKIb$>|O?i~DvnQrX4%lQc|ERHu(++-GV8<@HjXbarhNrc zP3#t+6fR^tH`24;l9Y&iU)~1E^-(d0$4fg&b(ugS8E$4 z<6@L#nbJgkqXF?*J5Q7TNHxanQj)LdKxVeRKDn?t`}mdxUrYC;)Gg491dw8LqPZ{g zOSdJrFF>`*G|I>1UTvRj!;l!$Oxzp*F*37h?1zl>|24K!Fh2=8drXjcOgq*TXUvq8 zOcZYBvpSWmm2sJ}F)n@Ddfc3TOV&iUcO=AtyHzjsS4gQBlQni&m3}rc`NZx?%J!Y- zK;DGejGuCs;^|Z!9qv>j@<;ls%%YLnv&pg%oLw%=pUo7_7#@+oz(1jEHMddxN6KkO zmsCB=<7kGK{YY|Y-VOdNK0N)m?9|2Gsh4?`w9<^1yqHUN$(q=H;ti-7!c1DxOuE^T z{2XF8`OG)YyqtPbUjKpx!qqnpZWCp1nU|oI&cR7JzWSd0hQ4MS$->@9-8M=x_q?F~ zOav(lTDt;r3jqkoTDwj<+~%5)q&suTEzKoKDuj^w(!IWYe|{d1{d4}^1sKYd1Z6AFT|TO(MGZ$@pvj zLJT!!cB-)pQ!J*L)JF_%KF=pAzYLs_uSIU|-1bSCx?#*)Zo&@+ERS{4EmF}g`^kd( zaLJSC=Qawmm5eO0{tC=~rk^8JSu@a=(1?^GX+9hikF#GnS7%W(?11y!oEi^;!s=F_ z_Err0t}K6sb9FDYI&{clMW!>4CE1o%0b%R}hREi!2xHFgoYJZ{ie+P$q%NnIpUc$m z0t_D%3MPE3!?p|p2DwlIK=xrea%yUdLN1VdOM5nEya)(FuQH}QF#|z8{Tm@@2b8a{ z--`X+WROP9pqQNF*Egb{-xSF8zC6JBX%4fz*>bYvw|Z&TI!u-fPxLeCDRPCB49ZQo zQ!W3^>%JVnrfN!7$&3d8&qJ0UJJ(1f-hMYaTSmHMAT4e)AO7lQJnd;iK)X5g%n0(CPop`s@ zTIkKoFI^*@KX%UCOy9>m&;Pu+j1cSbATL8iea)oemz%ZNmbzB3H_|~yUC8AFg*sA8 zW9<>2>y!n%hX99NyH~%nQiIdj{lL1?WW1I53zI6B&vq7QOW9Ar5kgOcZm#bx3YOv^H zFu>BLhA9sZh_#TklL2S63ihX9Y;gFqjucuIqUrpc>N@TY!KQb98n!6#O!}lxo>(zq zJFQ|=_kT~*YaHb~Ttxl@mF#6+B(pThtT&sg%7HY^F}EKWB4sMm@W8hy8z@ak%bi%{ zh?Yb0)ofA<0fCyQv`dHdF(phT_cKnc+W(c;Dwgc?V8g}Aek-|{zGkuGV;6hVGEsr0mrZMaSkxu0IFsq!8R3HgGp|NZ=2RvhBX7TQ_ zs!aWA<(Pz;cglZx&#oP&nbE{J7v=?ded1uG5?=bvhU%Wb*ui<-Y`tpTtHTeWbA86{hRkT zVf9M%8wazNmulro3N5wC8XKA8B*ergi}H$&Q+o@=52D?q>iOLWunKnFE}P*2%$Hga zkT~fi;yq_AlM??>_2*IVuPqZ{nbJZ(@|!miFZ=xpq*4u;v>Zrk5Tzl2ke!3EZlJKl zFZEEGczzsGndkO-!n^-^St>Py7z|l6l8YgdU1mtf@bHM6j*)81#EPv97~n{tTu*0Bqg36$~`X9gtV)h~&Z?0w_+ zT^}(>vE)hlo$dm-yda+Joq%43d{kw-J2p7Gv9=)4l21~r3F?QnPT5z%Og|OvmDp5G z)J9g<7e0+!;n8O*_nFczCmX*A-4liVQ)>kD*x6m~k#SS0o{}EU>e|^*jq%1123Q_QJ3H2|u@AyqN z6z?#hZR8XuBljj={mM=M?`hL?1xEtXcCckn!_{c52yFQdx$s$2*7Xeg2B$m*zjZhs zs-+U7KTX`v0ESo?R2-f+fM{s}_%5hwA_r@hYWh$5-)~BZB*FXESN|hi)gcc-8<)Y@ zDX~WGm6l|Ay#ksk?#Mr3zQhXCR7*9?DC4-z{3|?39bE=p^U?K~F~5kUe;$k~-lsk5s;*>T_YD0+I9ItFh;yV~;JMxU_M{*o8Iw~AJdVSWIpmG}%`&;{HJZ#oxc>D$Gc{TbE&t&QkY7=U-XJ&{vqb>CL^@Cv(g#mXo+#-- zCI22I<1a|@q|JuDbqK=0v0zqQ|2BS=mfQMLf3)Tw0t<5fN8eLXJ$}!MHB`fodzf$` zp4E4VueJinzpc9>dE;?>)3EBC-Z%CvpLM9CNzc?7-3owdFKMxM>jmbG-X`m2N7==d z^OsXLI=-DwKNu)-{X|onPo=0DUkws%FdGS^Sj>~*Pd!vRiXm=MFG%@LC=YYRG@|`; zP#55%8Ph_oyuSBFNPDhIqN3=R%y*WLdA}YZ*cqq4j!~HA*z2yKBLw8K-FH;m`VE6} z62|Hskzq-{Zt&+=V3U=RSvuwEo5kO_O4Zbt>{PYJe-*d8xpS82a$?i^FInqLNUJ9A zl^^d7kNzw^f9Xfq<;^X$h*750%8Pq|D9%)5nD2}yA{V!mTi+7_RrtX>yar`QH z+e_kwzz2~AE&N0?eWb<$hlVxkUOHz3Z$w3KqGJ0ZXZu}TYFFYF;k;&-K%hndsL#v=Eg(HbZ!gj`4n$cM`!@6H2{7uk>K+fkT@b@-ckWv&`a6pO3* z***Ro-c41*j+14|E5*b1Yr>^PL23)CmBHtq-L?x^DX#c-__^lE=HwZIJMB=u9vQmb zK_i~k9i{dO)q}$mhV~k~zI+zZqWin_J0M;?Ln5tcta- z{Z#dHSGsxWZq(VTYZotks;`OESZz$}*Yw^9v@1URvt&LL2b*7ozy2X(cc_heJ>MuR zZcvc_Xh+ceQdYoI=j#>)N4*ax#&7RF)jR!KP4nsJ0M{#RR#}l=Hg&Ax7Drv3M@h~k z@Ij8PqcrHc?T?QkkK7m4fFcpKHNUV1ZgnE%J|8!3lRyIzV!kBC7$Fp*qxG z3#yGt0~)=Z-A>b|;#uNYyotlTQ_+`{bprlmTOSMg#odsd?3n40Z7Nrsk~m`@761z3 z)UUOQYo<-WriqN9EYAuPR;6PFV-p(e6T<}>;kT8b#}ak@tAYX#0b3e{InMrOCH^|In}yZyyB0>|OTt6Q)|qb2Z< zYyI2dl*78uoX=;%X4@hI*?tq9`?>`l`*K$T9bS%xb-ocVXxKp!*e~$23<v zph@R$Bk4(q5|t33eSMlRSafQE7A)<^)AQ68kB!;X=%NaIIOUtM-4115Lq>W=38i+t zZoRMd5Pov{)M%RLeBkXEzx5c!JpKIpbCtg5W7f;5ZVIbF+9C~mAW2~_D#4AVoi4iu z$CHkuih@@+fJSnRaV0~w8@6y0506wiLpsAyl{O0rxrQ!83g2);*gi$8cf>nN4MJZ# zs`(DM_DHJE+lcg0vCyk<=LNC?$dNN6k{w3m4=GV@=S{)5=_2!Htg z!R%j>fOwT&wz82JNvW$4c?N9QY!YR$HRF=mRj)WHm3p8#8w-AUSOQ!6KCF^I0F|9! znBS=bMLwXgBA0%)>$~MZ-_Trt_%nokA;Dg62d*0LstBt)x_G&E+v?hMOEX(AGPapE z1~ruNQQaYE$jY#RKfg!_T~YkzO1k!Pe1_)>rOP&$6qL*zu>`AZ$x1p(e|;d=WzRqM zOxPI5M-1-VI3TB~%WvXL2ap5ZV#CNU2#PV_JG4}&Q>A#{Udl~3bZT{u*>bQ^s!#yg zie`gn;lj~qaa9FLwK33ZH~QdxVx8n%G5}pn&piX=pqmgG;-N~NZc{G09yC&NVSL?4 z+-CAVmi=%!XaHEeCM*6Q_z?^_=Dj~j7(F^B_!`HMob9ARCgoxf4|sYB`&6S0cU0vl9>99JS1 zF)Au*zdr<6XU|h+r-lrU*gR{NzX%lHVdUxhYhKnamatyYgNpBR<)UkV$L2Pt1G9y zBT#d{EDg?Af{m6fs7x$XXQ7KQ_H4nmx1-ZjT%YcZQ{p8ChRZ54Y(3d@nb>bmvfkGpWf7?wfI` zgOg#ll>wxyG5#iTMT>C;X57tEW|Q2ft%1+Uq^eDSX?CGRO1lZnok*4~Z%Mwy3YEX< zUl*w2Abt6g`taYH=1hGdggCpWDc{x5Dl|U(!cpDzf4?v6# zwlfb6U%9Rf$yCQ@=%pSYOQ*jm%G6@6YSwg1hKyOjZ=U78icXm@M60{p@wiR$wNCCej`#;lj;YX0!WOKn@}{LoaMDY*yjQ1$ z(2wgI(rszh3H#yZ5<+$ohUtK9Ma8=eAlTtsHNUycT3wi3(!ru(nfeETY(h&Os zL#*Nqk6Mauiop|R#X5d!aV3f&sW@E4Y(9$$m6`7v@}zMq`{zyViT$y(Du(wi*JxDj z^s(=O&B`>ay(5iZypw+PXhZH(!c;-hnkBVC9U^Vy`#kYzOuD)|=m=LTcZM@DV(SPx zV*BxnXE&hoK=V8#n2*1ED%rg`KBlE*WiipyEgXEH1@hj+v%n zR+M2JxoiVqxXCbzI7W;#*N#-GGBd|vVcTEw%x_<&6W&pLs>(x|X;B@&`ih zx&o1*So%faU+xBo5A>Kj_68x%y*~^Ev!G|e+nS4v8^`aI0H;*b6Mp5r4bbidg#4R} zTzp!bBDPqjdi-1RAI{eA@0Cdb!(5T+u2kK~?o4EW)Ec7M0pcPPBW4uIxlC`3ac(&c zQ9fu|8vorp6y4I;-7pI6r`gG3y=M-g*ysApmz=m6=vD?9l#0x3a5MsM_6984e*#ghZ8-pj>Ux zB1UdOMAKg(U>!vBXQce`*GX3D(tNK6OGWnmlXO&Iplv`JrvUXB>7Qi_mwgmYWLR@n zrDs^Q!GM*NB>o3g^=z4CZ&fM?Hfc`^-J4-BO#Y zN`5;U<+<5>(x&c7sY2FykY(>WyEjN`Q!D8{x9;<&Q$(zR)KvXa(0|JzC}Hj^;m>Ow z4Goy+v>#^<1w$siF>7qgRs1wTZ_3Ec5&37ppEg+gzYZ8M;3URUIylmtCi0Z2ni;)2 zs>vU;l)Blwx;fQwqLWV}KH3qOifmtl;nvZe1L~ZeptLQi;%Lxgtko~FMklf7N}W;fi7S?xSf&F4CJPQiO-g%8{g_75R*>~ZK0;w#nF@7vcqHTAJNW!08BnSyhT~=^&V2h^1rR>i1kZo)kf_kNgcCJ+?)tDt zR9|7={vY8?+aGQW_~zhQ87{Pj=p-{zzP2vh(*S!o2-_XJ($#dPGfUz&s3?~qv!F;` zYSo&WMEn=niD7B-p>(9aimzVPsGx(v;fZaE2ngHvaM>*9P}K3^RHF6YxA}k-kRL9) zUP{>RF^TK1uwu0OAA9EDujqU2d>Qv06VDwZ9T5|@Wz)kVBa29C(e zrK(Hek2`M$)=rzVI<8`vrf0~Z=E31TbrXF!#1dbPOuK{go>}0g7`0Q3wIkI@Pvr53 zmS!Bq^;q7Y%1FvS@mS!9eG2w0Z>o(ab%;M4g{?t*2pQ^DNWdP5tQ*Ti2R_5AcS77y$Z$HQ=s!9fz7~Sb!!||{3>Xjx1 zwQvlMsfR4oz+|ACVQP@W`3!v5aCAdpY()Uz{n_(k_;LG2 zD|>odSG~Hb!pVBU@y@{z-pb(vAC^BI{K3M^Dm2&- zPa{N(ZUz{YrJmNi6Rm&el6`K|`I4qzo=CUdCP#6PQ<|lJ%Z}Ce=|+le*t18gzK-Ur zkFBHRue7uryPR@B7IkxJV`PEu;z0$%)$=X#Qh9T#SR@oi9zWB|SOQD`09PwHINtvtLsXO+B z=L`@s)Xs*g&hSbzeY5M(k0)(TSUdYD#yj$fw09i>^vKT`72ncSKDM4v(JD7*;Lu9A z#JF=cD-xS+k@LiZyZJ=zmqf(Xm#F;Ypr|k>oNZN23N)_iZ1v%q^s4jqD80^6X&OIj z32GGjftqYfx{v}t&;Mu|fD)d!-D_p?TYCPndyvLo$JZ8W!#Mk(NoqPA-J>)Busq54 zoHBmiS|qc+ipb3!6#h~F?wg(S)m4kXIw1eAD_=ZiuG8Y&FodU6B;j0>#kuHh7i!Qd z^)|N9C++im3_jl@qcvH~p3h6|<>XF``P;=&AMLS7$+OLyVxe76;zqO&T4g&Jz8rfW zIB+v<6BfxlZj9?74u`SlCgXC=T!ELa>-ya1z@QN*u**HVf*f;=Rcb`0k*pd9fwlbT zw!;@->H%2OQmym31XIC>l6v|ULY_Gyk;6}X$ger<1xoW@2>v9kXQN11h4>7LeLe%P zz(F7LKcn(V^vCvnHZGScl3uS9-wY(bz`*^ULg(vGggvthu{*jr4DHkc<<=cd>^#YS zaTZHs6`V_=;-H=}zo=_xX-d?2_AhWLWM;C4Pk&CvUJWhqMoz%fcJP%=9b7LEtx9@O z+el+P0E}GMS{jZDL5T8-Q%q1g_*KPex|9F~6 zj1mePavnrUg9kBtQ_@fewZ5O}t!pr6N~}hgIjhA)tt)SGhiDOK`I#W=xT=1%9qt!@ zU~#|-_%jr6NNjjKh3=qdo#r<)AGWmMWMF<08$F0^e3nWUK9_!$rCz%o%@vbVuzO?o zJ82k#trN$j0Bs^ZZxuuT`b+g#U3VDlX;JbE)MX}W>kTW&E@5u!av<%`sM9M{XN+V$ z;@Ki!NxYR&`Kn$qpOw<8L`||Q->R+3Mv^p0Fm@82SBc^VS7v&{2`S=kbPo*4U0p5Z z6|iKU2;vON^cm9y8+G5_lT@oa`X@?;Hl=Aka(<#PexCjCvpsYjl5=^u_U#9qdfZ#S z5O9@~kWN~HluTW(sAcc1KYx18Aj0g0bL)u5H0$^5TA&Vo1TjYvaP_vF)BOXbx(d0M zY&p^C?30O2x23cS8`4_Dny8u{Vf5lhhBxMC(ox2;5-$VS7V|c+LE3u&Eb}TSI2v;0Dlx>=&x5&3~WIZuwNu2CH%`vk}C#0;TG7iU)&K|CoHRY>7y-5`3 z*r^}|@)Y;pb2hwE0Zvdz-}vZrA0Y4SoF!8Qtp(!E-PMwui#{6!`+6&~>AyacRhGx{ z3hQMD7&5AAGR_0H64R0?SixG7q@OL;&GwG05^jC4xLyId$^1 zFV`E@3##KqCe$C|^m^8=l-oW5sOtzsCa-_izd9&e=&t^!S8BO?*cd33y+J*BU(~rQ zJN35QGuvC5qfN$lh9Pk>9}7$fjz}6K0-vG#wL`XZRr|)8g!}Z->t8)LN}59r%{%Xy z&ZM5O!C8%=Lj8k3q>-$Fc2X7(-)_Gzno$@~d5ll4~yrC*H-0*_O2v2KzDHpoE+HBtU6}03Yhxyhn|UkT6MIybVYLRVz{)g zo6=N-B)AotJFv?{BYDc8P_`@qDSTv*oKTk}zX3J1z@mc=&Ji8%1hY_!E5Hd#tQ>y= zfl-;MQnEbkBxidE&$!=3{fA?FT%hqur^UbIlzV4a4I@*1;iqB^l#u5efAOHl%FE+K z5D_9{1DmB+pLia*wk8w(yH#9Xzc~biz+8R#y5Q5N&lM}W2vSz`%n@shtkkMlPs&&M z6p@~(S1ukeCY$A458i(ZcYJC<_*#BOfA>JfneRrOXeib0ao**|5#}8sJ&R;t93N@1 zVq;efaB;U~iE!>oi`VhZ`~aH|raYJ`b=2vn8IBU(NeAsZNqxB-zH`KCt1d%(@6GR2 zQfJ+}_@6sp#!pr8p?r1V(Sg@-45u5SpQ1_bT#^Jk=s;`tLy}$^Z2H$(m*}L;X5G(% zdVKX2tr{F&h0hG!7a3Ab)H+Odj>tGaFKzs_fU}lSajw{xY363$R`#eeSO&F=>-gQ^ zJI=^@zoFu%a|1t#)^chL>2WhV)&MSss&p-O`PeAtWwD*}1Meq%&D2IkvZ?nLIPfO% zsIR#Ee0*Z$}$ap`eHkuYG`#9HyJJ%@Gt$D+8DsnaT^`c5{<5qH0B3L=p zGW9nZ-m>6IyZ4N@k!AH(N*%34pkB_Aif3pgjkgtxUor~DyP_Q*df)2y z+td3Zy>PxH%YUTGeTTD}Rck-~s#+f(BKivG9yktfN4SyO9^1Ix``Ck1D{5L7d49_N zPnZ8z$IIR@;cD8@-IixCMz<~8>>R98=|7q#WBcGVXpC=5UPAouRko4f(X+7B=2GSa z7V+b&J+vSYi-_VBj#h{_lrn`=xrUh_y;~J-*@lfB6u=SWV+)rPzjRfxESl;s`6MNF z%m~aQS-@I{g11^U&NA#4_6@74V`;u{5*RVC5r$^tHd`1L>S`S!K#htOe}_nbYmvB8 z6ivZVSEJ$;*z@E~d^YjPakpIYeq2!+onlrhce18~-x@_}shiNeDL3dS(?jGJQR_EY zb=1CV^&YJ=OS4CDX3bJk%^qTQvY-bzGGInug;;FURx}lmhE!?c|7dd)Ka}fayB^3w zPSehAMtr$RIUP(Fw;aK*Xkv3<>P&71c69*x3}wqZmw^pwoDGEam<3v0OO2{W5YiQF zvi*ms`%)2Y9)ng9rEGne_`P)TGtnH1E=;Lu(Lbk>=FLdI)T8F^ICu{lS53_Q)_2nA zkQF+?oLtxIj=4v6TaKA_l5~xoP3^35C|9M=2rT`&!4fdalus80TySJclq+d=^~JfTYmJ!2I-U^z-^Wj&tyuFA}NK5&Wl7Drcx{f!#}fAU9zdPQ#EDs#~-1!g^8@v0rR$RL>60 zyYyukbyHPr(%8dnXG*^ikG*QEf0;G3Z}12ws(*K<9xSUyY~*SwS0wL9O9_aNYZW!F zjyruZQ+feym2yoNFZC5*R&s~i1t0f_&w&Z-fzDy=7yhr%&JJ%zz{r|9MdWWG4K`3a zMj8vv&~-yi1m%rb1si%u**viCW=&Pp>(|z?Dh)z}zK<*GH%QS20V%SnZ${C5x+Brr z^Rk%?Mxw!iSw37Tb}0W%p^2OWNxq}x`tGHW%;&20NC+eqvkkYm3$-w|$Sgbk=s9{V zxxz?uRsKMjoMR=+OIa`P)j4!$4A$8~F=-i`%6&1QtIfmCWD!R1piC3d7V5VTyQQn; zAFAru`*TEfnVyHj=hlj57au@3;86*qYRcvBYdnrAgyS8!}0X!!I(5V@S%GP&KCc zK)!JevW2A~v9BXYsC(`pRp(>3XfP%Dn!BbHNC6+EU< zOlWcdsGRr*k%UYN%k-Jw_I-Nnt+#-f38`NpIF?NEM@K9-mUZSTI(x-iXR$Jb z8>Hbx+l#MXBfqg*Tp?EG5jC_;r8$Yo`>}FFeF=gSUwX%M#VH!qzRk`Ulv9TL(VU8pF!z zz@pZW^|(55;ZbQeFYp>GJPjv2q$mB#TI|)Ha0r#(FrVKR_KTSoseVEE+64Nm-XO23 z1p~TV1S*ePH8UKmza7p5LZc5;yM(3$;d2({xpeqN3Q5Yd#a4~k2k6dJ%BOZ+We<2C zF``DOmWHRJc4IT_);Eql^|pzM$Wckh(RyqYM*`)?Dqi%q8*;j>p&J^Sw2XB6y>2y` z*lY#i4P}I2Lo4i5Jm~G-rqt4})|`|-bKCH9iB{I?q9lo;CiO$StEympet(ZcXI;I% zfESXyT4ns7I?apy^h#Ra2vRIF6s)(NrwDG)XN`4XVInekNz;S)m~`|TqTow#^-FMF z3bG$>BMw23NfRxk!4%p273I5#vShIaI?E7KrjlngNFGgQA<68Fujd@>ef+u3n*bDps3_? zdGlJ9(C|!7>}hVXx8ql(-ta@adw0&0xGxvq6VOmq&qoo5L;B1Kj!I2o25Ofp%|MPG z|9xj-aiIN1Lzgv@=1LW>Nx5FgrW#;ewQTt$$DY#!lo#~#D%Gs;)ni+MG5am~>KVGl zVQ}=-bF(fFcyR^zH~E_17}ZHjWk+iJAK^OvMGp>|PaYzJb58$76#k66YJcPv;(B;b z*^6pw3e*k7Kb;n_d)D0abvUhaPrvJP$OHr4Ub?S2I>>4P1}|e3ZxNII#;=-3F%?aD zygSGJQ%D8uG~L`mpnIsaKVsrN9eX~+OydVBZt2@~iJlo{zA*S1hGmp!{K_R2=VD?) zpV-2lFcUv`^y`pZShUf7kpr-05UE1Qfp>VUsMyE+6wuUE{m7PAE$ZT4A^^UQC z_Y0Ms__~n=e8(>IWoM`yE=!!3JwY_&83StaXKETYSp}bRtVtY>3OtGIkDvR~K^OYL z06DMs32Nhua&~YxyaA1k+BIx2|5{Mc!8^65-~K3G7*u^MnI;|Q&-Yn%RP#2MKL`Fe z-m^RsUvng6z9I9=m`zTJ4+dvbF?!Gr9v8zx>&BeLoEb6@FNQ17LHu`2(_Qrk zN`!8F7j`W^^9u~4-iZiFPMot8d&dKx{2uo4PS_#SQhJ!tgpE;Fil<1X>R6uqI78mi z)u#!{zDyP!Id@`(&s2jhbo;;v8nz;Kn_^QT_#a7jPLj0R5k&^L;_+&BI(F z9v*=Z`BDyBHPq+>KuNCRcY{UcahLdSi~H@ny)6Wi&)I#&L!SXOx?%wfEG_YwBjfy3 zcRgGJOGWye)VsS){0)F9Ia#;xg(SYx?3ex?KGDb-vFA zo+`CIZCx1n-8xvwIO42r2wG0;ec^u;00*J-Jy~=YD_qKhXU4#N1oIL`QaLNBc06za zf{d^C%mAG?R*WF56EHrM+Af0HbH%9=0S`tg)&r9vBBLfvEF zO(GzluJytKaDMxwL|x7iW4O+3L|TlLXqr%tZju*P`dW&J0K-&mG>KQ?*g$w^^8iK(ghyyyuvnm(_Hc^xf zY@sp-5EY#l`v39dj|;LC`_KAPF($Lr9rPYo8HrUM_)MS2Pys&Goe3}6p}*tG_EK{{F% z;1&QdrR#=oOU4Xy8BZ99mlRO;OR`#9d~eeQ?`}ZTfaCPakxBN2zhAHsZ153RjepPr zGi;$5irMTp;4Bm9T!?zp1iV}a4B->9Afdni5-wB~VpRH0zX$SCBPj#G7vtisQlZ|v4dGwoxxa0sSkeWa##|8WL#zf$79lQ+ z?yFpRL5c{Czj5CEiM{4lh-r3XSt1r!Y3D)NgG&v^HBmqmCfJqLk<@J*#%Fp^{=&xpw-wlvpQGt9F1-pn*o0+?=;?jh6S5Es_Au5ACR=GxVav<8g-M(n!kZ@GaQ5z0|L1*iEr z-F4YtzTjOr^0#Gz1iV=emSihi8^e0})88-;>xBQK!ir~t`;$ev$!Eop=V${W4G2op zUdJf`-7n)+0nNo;eYVz8MK6i4H>Tbz2q8)#VD65UiJFvyy`2i;knX0XHUL{e+`}4N zF)WLDxF4jlz--{bJKV26oka9w@B?mMb8PT+HkeJ9d2@geQbVBElo~h6!1tM|#$w&A zte$!<6#c$iwfc~H=q^gWw)z!VxdOCc0J>~pZ64rKd<8?s_R3=00w3tUs#p(RG`fzH zSIL1|14`_UUPFtW2m-PPE+2xd-|^t$o^#=3?>3}eLW+SzqE`QRdCF2h!WyD7H%}k&bHlhUHkSrR0 z;i*&;`}Li86Z*Iv9-hy4{9*zayx@>CR33QV{tH%?bB{YRAe$ix5lI#4p z!xSM{{(nK7l>&{uuw1_7wO?0k_yh`*`mkO#CI%jd zLGha@qW|{jl)H-RJm3vEp8XvmPxyI*MrDC!ugm3)7=J1vxUqh@DqO}1d!b0H*9?DP z-mUurF24XeCeLnOg8AAMgHv?ub7j?(`NJAU15y!A$*!=vc&IkA&>GjxSH1@p3TFd8 zlBnqL#+#UHb1115x;>ZZFEeZbc1L*e!2R^`ytJdjuKG`RrtiE3Mh*xU;^CjxgdJoE zvPHfGerU@qY+DlDFTUV^SFWu3n@;7Ay&R}!p1WZuJ#$=O_R(tjjBD%KyA?{;I|GzFwBWkn+_sp>$PBk5pFhN&1a_`fb##P6zNn@UlkmCNKF|M%UXt zuZGbSYLuxyAC6KeU_Xpt?SE_vGbL5P1Gzx^WRw~m{-z6>_9n5Gp12ut@kRN?y9kk; zgQ}N~vqyFo2rXQ&4N<`Powo|JsWlc*!Uo=>fTEbP4P9+f$$Z{*=A3>q5xKbJW|c4_ z0SL@->Ji4K2m!DASe-y*pZ>bPMB2aIzeG^!eDt9Uj%dz5f{JegR@r)Gt2Ol0!<7zA zP-u-{_19$@ud+`u$cMFjMnkqP3lQWpUNT3lG~l*16$N$RwNfh;t+gGE&-!x%aS{Yy zkNbz=QK1{gC#@W$zk5#D%W7OkFD%faZXt+%(`uVtFf-@CTRFhyQPW%# z$zdZfd#dAci-wA$FTFxrXwt#L%O7#m;m#M2Xh8d4Pg83Mbs05Pr<8R!-0DA$Ylial zOk#>BW~7Z~Zaj0iGbPPa|L*Dg0QqWxQ$k71dbhsY*ByOmr5GKHN!PLqpQih}jlAka zg+y0oN<6cxGQikjs~js5xFrVBCfGy7D8=$|h#T#_G%{MDd61e*u5a{Ppj*QE=J5Qc zO0?~aV*i%V7IpjGx?%l`#MB8HCVL>Ts%C*=k$#GhV3STIldaQ3aFwG{hq8BYV=hPx)R^-zK*c^sIAxOe6g`2qGA9f_p+EzCq2k0?B^Y) zf$bnkL&szw(vXS};gIVOBec#Hx~pkh&dlK=rkp~`p+lX*fIBi1VAuVJ8C>aodlt9y zOEI|~dZwkn-pN2)Js1?>MggFhY1?3!QM79c9946$=Q6-2G_{@?Dq@a(XF$(NOM@u6 zl1>-`1BW0dn#Zlv$zR_5OrzGi`d2aL-ND!0PY8tV8hLJUvYgno3?4dgzi2E$S=tQ> zAC#VeF{mD@_C~KezSgUW>nV-ouTwJ=vhn^Uy<>hRC2ak7ilIG7ktL%MS9TA#R=Jfj z>YVNNEmU1yN*5FuLio{-Bf&4Lae~V4ZF77>0V9>l%vP$~nVqors`V8saq-O^nQe7F z?Q0L`U2ULgMaaEb<%MqlQy)FLXYYGp?ye(0UOahc`+I353p6G3R&eqhG&tj^>B~wR^VsL)C0A*may}yhhwkIH|KI0vH^r4DGG%oVDltp|gujea!ViF)Mo#ilJlD95nYX@AiBTQO zRC8OXjqGZ5=Iqtj?lmfA3rD;7w=HX^T1t0_hATStd8<<6|U^Ks_IF%=+0I$3uR3ljgm^&8#U^4 zw+ll1Bv^S(1Iq8y3KDztCQs2o*ZK?fwWGx{2{tis$_s%?i(yc41u=b=&CnHbeg4;P zm5?m5e);um?r|GNf$=L=mGn3`3> zs71g#x>HaVEGb#?FTBxuz2vs*sHbPL(TOJQa~rxY#o>uXKPYZeQIHqmMu+oU@~*H+ z&M1Lz9q2;d4uyESN~NH1$;9obP9muAcC4QfdJcGi}uk_0UI}~r^@Gq z)ZY$_WPpRx4*HJ2k9uA>g0CJ(qfWFc!V&@}{wUk!9Tw-H(#vJkb(0}REc1BeLIq6k z-aa%i2|Avk1{f5x=ZVX))zb}gb$g}9Q@#?MqZdaPJ>ZeDG*gt58S4DU$PJaz^ZG_|8q`O=sWW-7 zsT0bJ);A!Aa3!xav=ZopET)ym!HeX?@HV{z#W! zzVJtGEU^y8Wwz_th`sFZ8xOM8W%Rsvul7oXvIt}DHQjSOI!B3??mfx#^UB-%tj43{Mqh4(f4HtnXxob#`6i$XvKsq49rYx# zRqaixz{y<4pq`TBEQ8;XC2DCN&*x*_4Ezn2M9aJ|ht}Jzo?BDWA zHczCW{;f1$`8Rh#;0`(4c=Xj{4c?RX*9b~-Pof>>Whg*3-b955Qo-|!Z-Ms6M^q7| z#fxeIQ?2{-tdaqcIzrGsJe5&#^Tlc*j({sEGQRx);!XkEx3K)kDW}M7b!sy83W(OK zdiE<5F_ToZDilj$fpj%!bOFc3*04qRZ8rgAMel)~z|{yo6wAI$+54`K8C32Mc%TQA z$&(#`w)Hw>s`z%;x=D+D)FkX=66T6kx>0F+w^GUG6l9ZLn87TBtIhzZZgm9_k>3^4 z8N9)v_Qp-ItdWR^I5z*QFa7%v(UUUL+?LWO6=-iu33EsGazfs+g8i!9QBPm~i=oCe zehEN#=e!C~`B*F-Hkq@(T^n|+`5_@Qr^_fY98fd}(iUiOHHE}71V22O zOlqmo@U;$a!{xea&JrGskRWk;;NDi%78B7X&D%_3p~0_$Q+S)-$L<8JBe=3%0ck9< zwf!(h8=ql^zxsiWFl><_Cl6rxder`i z8n&n>?VFtN&NwAi1$GtaQha!M+2qPPP^csg7b;*ok=t5Q5?#l7nG4$M&pWdP*64y| zNonTp4)*GEF^-U_Et~GIvU%+glWNq_OWcVn`IJJd(=(4t2D#y1!Ax3pQFlgQ>m5qv z{o}uFo-6Pf#yx!Hc0@M(p>HIh4wK!8s2{}K&RsL+O&UU-vME^;t;_$X=uF&_%-%oz z0)mL3fTD<6;FjPLDlU~4;Jy{EX<7m9W@ct(mJN%z@2R;};Fg&hnw6O~;FfEtm6=(g zSy^L!t*oi08Gru%g7-Std(OGedCv2>?@RtiEmy{HJ>8aJI^Kfji+_D6f7xFi_u6UR zdr(M)o;DQ$Hn5BHoo#^WJ5|r^^n&Gc$evz-J;pp=R$2D!-j0acX|do?^I-Ec`^h`K z>tjMen2dO_MoA;!!uP+XBUjGdKemBSgR;V_s&4BSd8!os>`U6F^D{xiEfyXTlBpMf zc9)`G0wso~#WlM4Ex8$CrdKs)p?^{9U&NxXr&SkQf$bEi5ISCDmK7BX{+4uAJFw(k zr)crHl6EKb>SXubXYkD{j5eTUhqG|UA*=5!9ZHq?{a@8r!g_PF8_o#&tbQ7e4L<>W zA(?uXq)B1n5KFHs0uCM)U)NCGqlY_%b>pEmjMVX3Am@5ws9)LVjb;b8 zX(G;;LN7OGdH>8;k1EX`ZpsenO>hvkts(v*Z}IBdk<@wdl<`>aYHsvc(4Fg-)&nYC z*Q-oRI$)bV7ztM|TfJ{sx>{isckWsV!siV(k#c9}Uq&=)jdF|W*ICy|$lU`Ow*gOx z9sQAYPg}6_5MiULuXtSQSz^~*Qb?Y-v{JdXHS4hB4wK^{9GU2fU!Bb|>fdZ7)t=j6 zG8yw8^^+}3mSvP~Jk{A;rDZGGEnCcoz_1FTq@zmIuN2JlHcz?p@N?})hnoF*1`k*D z%yeq~2AN-I56^i94Yr&ss4VT;4{tfwTA;Xgre$+y1G6_I-zl$D^ET{^EckUtePR+~ z(-*xwV)J2chM5Pk{fDb_ ztHEa ze{}nrsy}x0KZ0jyKr~rDJd>oE&BK{H`$GetY>r_GjJTDT3NoO2b9|jj@u@(w(n`B9 zv8~wp8X=I?U0^gUy7Z>Nh6VC$);DEe+OE@;vsz2<&g698n9s=_`h}%nKu3$Q9)i;R zZW}$fAcq&(BOAe^{=l3`h)+hT+yyy6pAGOiCzyTGWuw0(3hb+sxqd3w)+B`Q9^y!H z?EfYfLh_)`D-Y^@;YR$(JR*ffT3<|)LLJxK8Uc-r(XEnvQResvIP4Z9onqxkovw)B?+i>GoB+r%VqATS-jN;B<% zx-G|H={2FYzWNc9L-{!kj?Oy{3BjSo6E>4YExBs$iXvF_{gx4R+?>d^TOT`r`|KIm zM7~%vr1;Xm3fp2)ayB$&ImmcGgW#1=OMgqjYQ3`VhK? zlY>ImwwBax=38e6{AlRayw#-}URP|pfI+f%KNk{#nMIQbDkMpY+M3uKl7x!?*MfXg z{zE+Ty?M+)+dI|e4n5QO`(Cok z>>mW|p$>zXNPhKHx(vbxsbkT!EjasZiUr|EHNFi>w{Ja`RA9 zX7Vg1djZwDj}U^cy!7l*Z1)5`z3^0bw~AM?7i*+H>^t>tH|CJJh^W-`YXjVL02oXXSqH>o>!TuDxo^XqX+a7P@ir`bOwo z0S);hNA=P?3Yvw+{kKa))0;5*z5j|~6OqseK${@Ny!lIdp= zbQ9H*eot@CGO;i8X>O%?2#vPB9d>72D=T`|O&Fk<$^QUz4pF5Z=Jo0 zFDuPO+N~P+c&yW~;Ah9!$Vku=7H98J!4axX@@FHj`#Z9}$G=Ozw0r}hIpfgjHd}&p zZEv0uYdf`3m-mgguhw(-Q{nMq34^*>_t1d zq_!ObVBT#`>jSJkf?UBXCse~7L-sjxnitVx!Py9H>mjJC!x0nSHwD;|{cq;hx0M9z zZrFwXKmAJ&L2^3Dx>uE^p4|0v|MJ@T=HAe%r-Kfeb?uv?4{eNmWOx#MFDmj?L|a%CRilR*P(S zoh^wfDkVz%J#xf#spmPRnrwZaW!T$&q5X-r)E6_K!kZJ9t_fM0_x`Fw{Pe}O&@XV@ zm8|$J9d%)*8>jSrF%B`xaX)Q_>3w<7j$|c~N~r-kD{d9$vm(*DdTzW!P$xEFXz%!v zkJZ`qOE#6;aE-$oKG8T!4;akVK}IHVtSF;;21cgniE{T?FGud*%TMaD#s|KgKHf4w zE-`XK^l~X-{kY)PAbC)uu7=mmB!-nBj^N-Q>?Wxn7?`DU`rPmk?Xg+=@P^h<-Jt>9 zpd&9@OAN{%hqSI6J+RyM^}}&O*|i5UopbLea?9<^UbdsPp1usbojlbBctKy7QucN_ zZI4#jsI>}9I9GVCx)pMjLpx}BQU6U`I{Jm4J2#epAki{cIgw8wnKP* zd+dKc{*k+;)_%Q!rMF&k4M_b=+0ooNI~Xu@sL0N8F4@lOMX%tHz&q{ShmNN58W(24 zxnQGwhpQJ4RW;Zi8a3PKMtzp{t#f?q^N~o=U5-M=sEUr<6>56-UgGo|HJDX`V#j7j zltdM2Mu=?49$%0uF|}wM4I`uRacfmkbtSNOX85+iMr*UjkaPRYSW`n(&*J03xH7Q@ zSfe{(I>R1L`;7AUEn)I)X?*q`@{3~YeA`E4=!4J$+g|&eb(3WNdxSW;B< zDB`f9K4{N!CHA@5?Gm>=we_KPb7oDFDRevf$k5|Z*5hFN5hN5 zIz|oFIat)+odTEP+<<)RGk4#hW8&&`8p`|(Oj%ao9C2wySn?^TVOX?|pB1-o#2&Zz z0OsVJ7N<-{KXy{Crhlzxh*8aGOzbm(2zeG+KuTEj`#bG*}*};?+W2_1KR8WN3g<=~?#Mxo&@NLQ}m% zV6n)AuHzv3KE%Ovg6$>T?0ua|4}q=2{hgP`T`2w?uDY#K!tM>elw#NbcG-`jmFc?O z$J90Kzzu=*WK7tJoUt!SjoR1uXHsPbTGHmdpc5del~Vq>>jr;oM`A7;zJZLmr#g$e zyE_pSn}i z%Cl)un1LdMSbe_jF&`!ro1WQHS^stQ_Kz zw&NO)xvODcChkH>MbPb0L>X_4TI7EI^@!`K2LW!xoymw1WajDI5sUADbJYMb^XwMM zuuH{b%!#sw&7C?Pmu?Pb45S&>h-^H!lk01zSKMfLIq5*}(4YL2CCxef_?jS3hgR9Q z>1HgL%w4?p!DtX}XT!jh)3vT}1WHrGF0?wi0dY51d!2$#ay`lLGwfmv{}fR`vxlvWj55!|JHto?z##J3cV9_>E?xA@dU^NXRyI3?#p)`2x}R-Lmq#sB?fZBP8W)dQ~QXVo5Ua=V@PrR-_1LNkK)_#CpMtm^qe zr?;3JarxY&fL%r54eb{^&x4LMBkxR(>RP>D&m=eL{`phlec|t9Ey5-Pq*o>R$ii_G zE-d23HYWq`7eLm<*}WJ3aR|!Zo$X@T1j-H6;VZSVGaWY`HukLc&5vhiYWO7O)sUtz zl}TfQ^Bwt``IozH{xkYVB@sF6A+}+rWmwNqHT@`@LC-)TVfT35N#`=u6%VezzBvO| z%!@tfAjDEXUjnv0k$@^hMim_7cw6Y5k6^EZyfUIpW^y<@_^j<-KC9e>Wp1Awu zsnw5%wTBD>BR|_Gz$_ci1j$!wLWXRDYd<4wd({jK7==conW`7$l0&kAjrwz@4ehWC zwW4J0fBzed*$4|N`d(#ZMD>p2@=+|84f`PKoTuk}anO9PFR=<-UR6%?tJ>t6QHiD# zdDT@*wX(LHsT`du3F!6k$bqPJH!lw&XM@Ay*oSC!vp4cQm_K2gfQ<@uo#kA#K+YZ8 z@A^*3L(3{CMIo@6EgfES4+ZuZ--fm!1DaeHz9c+3NDY$)K2(&FR1>)h_(CeC$N5$T4PRtU$ns8ee*HjW0>3tWU_4t(Y z`_`eAkSx=q?gW_tK`dwx>Dq{EXlDeg7L3n+iy8`Sc&T zYtN7>Qsw^zF_L8K`)<;d4km>DeFG`;8#(AXphp@g4_7HGe*Nh4RORo2gB}W(-nvPg z+F~TkomNX4gJ)^@9l-7aMRPgSc@|m15N>Jyz6X@2G~Vs5OYI7&5az$2r4$5tYYnK9F1n;PkwX zhtxoFMr~F!jcVzAOUjy+`Wur>1AfqWU)^d|P3T#$P0FyN-slfTet%?O++pU&@DiI; z$aYyB$#y*hcShJ;T$kS{m@I}rl6q)&xT}+=CW>V(9NEaTYCSarV>QFO zOhboFuUm;_$32TvGH%2^-9>P=?-p6FJ=}N}SnCj_<1!9fG&}$2OlGlVC_%ZFXoMe^;%i4qScCd17!7WunL%|}D26E2& z=&rlkH?Pp;l>qZFb8Bjtd8^#Qff4HFeB0CcbGjh(OW$Wth>ae@%tv5Y5<{mbtA(m-1+LHJI+W>)r8qX zZ&rkbGi8v6T*#jyk*1vnH3jGny76KTppjX zLrZu}ynondd;sJ7Xm#<+!my<&1F<47EX#gUOdrt1>8==TK=bl{D@Vth=q7>hHPW%I zyhJbmc85Jg*AHVk&ay$h_{G}ul?TcueCs}xl#e{2uY`wmOgxL#SXgT^Xd9d6f9!!@ z&`Y1txf!slRhCjFFve6I>5@>h3&dnC=MzE)-~0CS_hX_CwydsOG}jK=j}N3=++tiN zZyI#f-1IPf9y%32(lZ|rX#Lj}iIG!yhR3`&{s8A2eDbaXR#1zP-sEpR?re?}k^^De zFPKGCF2DPCY0rsIi17XcD^sr`A)eV!zm-)V=g9v$oO>EtW@E}%$$)Eg2rk#=y0LS z`H}te+>4TDA5&=Zx#O-bU)uaV3ao08QP4f)aAB)n7QHjUhnXr!b%yYEUHK4mAS);M#J+hE|4ugy63$F z{V8t;&q7h-!~TlCqU<9-#X?*01&dL^eBEO@VZ`yQdmdO`75Z-T15l) z!Bc_7qjG6Ys!R7YoQC zeO4?v8O@LIpn-P5+_Fbn`tYP;}#f2aDY zN3=eRJLvKsFt~ESKUJsrL*3QRa1ce@ckuTk$YCZT5N@7SYoj={txbB(lH)~OeVS&kKTrD~ihD1Uv&S(GM zJ_IV}zweVet6T&U;z1g+((KQu<)ynu?qf6A$D+4w0M2>;i>?FHO^TjBgd<(q~=8~!_?Wp z)Y-0A;8aJyX20I2Z6`QN6Ogl+X0Z@p{@6ZgpXJiVK>}pb0R3m>gHH;?uok2pewth? zFkcZAU%$4ctFMR&HaX*L=>aBCA=)8eik{F?38LM=i`&4c!-ZnQJS}RUZ6#lSfVp+8 zkI?l`!8|zgF@FP7b?1Gb%5R3{D(m+ZzHP5Sbe>5u66XHR_&vhh>Jh0?DJSH=H-E*j zJR`(Cwj@vm&I-{crTg<}ZJPS@L+4O0q>Ej`i9;W2>vvi}Z@!J)MMSBjq3$B#J1!my z^WOG9zv@FndTMpnKFVe)&KK{xejT7L&N6j(i<)TYkDrrL#I7wHcg5eKt3R+**B(Yd z598qacB{7W-nn<3)N_ielTx2dcb4f}H5RerRtGOF?GQ}uJ>QQ7h9@{1CkQtVReHs8 z4ZH(o5<;Ovw9)*WJ{9YwiAckD_kRsm8lA3e%S*Z_(5eNiu60zq*5HtGO!z-d3Jd(K zT*>!1Wk8-D2nv#xS|cGq2G|1cV42U`Exl75(`N!^5~KptZO(?>0$TGAlUTvljntI5 zk37p~lKT*P!!P+Wf&&94!4LgAO3JyR=3(_Nk$3!8s;Qg}wLO+I%CS58Y%=_IY1^!O(Yk?4Zc1un z0oBVaxZNePrIK7p-8^l6;!#9Lf(>M_x6V}yQu8Ip8<2y!0dun<{|Tg@6$iVJm%<{mGyvBVV_DWmZkA8n4%AO3Okhrip?-M z{a7+uCV5nax*+A|=aRhxeY|hx6)ZoR%0vv3?dJr<`Ym8lIP$$nwCaGY2!kawn%GOLJE;>g509O1dnGebg?<a;ur)?>sz&A|=S<48KFBR_pG%UjH=wT@7y9{5=#?ac|pUdS=9&I+Hq3_n! z=kG+2jY`|ud+wQ8_K>euaRrads#6f}CBE+5Ks{R7_8S@Xb{Dk`u1V_QMcs9|>{$lY)J|nZ+MlG;)L~~C zs8TX)UXQ$h&QRe%Q^s7ga=DF*C|kvW(*-x4u&)2D*?zC*qvnf3c^~bSz`5<#f|o;+ zlF+!Dt9hi?v!U86xLX}}7?^~qvrTV@RPLLlYAhiNO8`_rnS@!HE3m%KjhduBD%e}5 z(&wY~3G!^*EhJS`xc_Xb2wD--i`V0@jzY@a+vS70oZ#%(va&m~&=}xej^X(oA*Vn( zTJ3k5v}4?4jo6rRJutdhH)oJwBNW%?C(vgy3qSQbFA?%$Qu=FlonS0%PxGHLM&0&1 zWvu1XS^TDF^G+DM%+i7Lv&Xjy6r&VTSk=K@4>!Pek?UCsz-A?bMFjO)6}h%?!FZm3ai~AzkRLv-_C_H}2)D**zBE0BHt%6K8Ya zy_)1nt{K=ILxDQ^E&qa%!7Bz8~ z?V#s!d6eT#)}w~A7{@fio1lZI$^)n#$^q#b7bSAVUYUW@hftx)i)OH83p)>|`5|(e z5lmh!VQtX6wyysnsjv~FZywTd+Zx0cShO!#oMthN`{3uPU$kv=x*vyEh3>u64roEN zRu3Rt6nBHqU7I839|R(NEh<8z6WaYU63h1_FnRy?hCgqnR4+5`H&hK`$ zw&n@<&&suSCJkC9OAveEH!(&d*$zh1l0w;T`JG3a+l~l!AG;S25EA#!my3lT>&vJq zN>ccFnD^E#X`E_r$*rRy7mJ7@hkwQHR$dFOe_7>8e7c7aoA%{n^~Q8l{DSQ*f0-xw zsHSH~D*o{x`5y^cAXrGoqa3cc|9jzTxcPp$=_W+A`)@Oc22$l+N^`(tTCo|M|M^d; z7a2L+ZD=p(qzi?;xMp60kVmc```e8L`3tHlooL9ViDDR1`eqQ>tvg{ zIvId@Onjd@BMG8Pm;{-Al0yoY9-8w&*6;=taC}y{b%F*)r7|%4@%*Z{3XpSn|BfBq zGCWBk)DGlrR*?xw^kDe5Kp)69qVv{hO_=+}f(I%G)z>QWy&B{@6BVu&<7>Ij4s@LY zb|d920N4|S8$E-rhLjW82Wj9q(lD6BtKZbnLWIja z+{{x81#e5aC6 z2rVYTjl}*9v!K!%U~{we4<`Mi8$*W)86Qaal#Eb&51rVwJeJ_xoY6x2gr@jI&3s6! zu&oyHe057VjEsZWl!>{gQ09VwUa{)U4_tt!E4BcYF&Z-#oCF5CT^x0P5FlpYz$m0Z zhPD>(P>8YXyahlF0KZizpC!f~5G$|A9}*R6AuzQbI*bRxhjY}rCD;QX;G&7~hXnO| zG9MZMAURs>Ol39)V#muN%3$LS+DJZZ-01GO64H$gq7k(O3grO+umjZ5jOQV2HEUi} zuUuULsHw5lcoM?hdNm4v@sk)k$}1mGs3$I8K z*%~9cIJkB0a=KJ{riatuMOjH*Ig6H9f4OWkEwtX3+ZYnBnacn#i*3&cX-kFUU$72^ z&g9H?rQ`^QIdgST6D<{@Dqh5N8m!K-VHpyo9-?m-1C!7Aye8A+NsK^rERhG+YscUv zTE%dnQ|{yso)!q&dK6k-3(8sw9FL^D!d5p$gAsD@JqE-Bg#0n?!&4Bn*d>t)h=7Nw zz^Jt+fw-K6dkfnG>rm!4%JB^SZn#ng2wa>E!~%b7sA);C_dw9^VqhtE^9uli1SzkBiE1<+?9)QevI0^UpkBt=ARYRcD^LRp zR3`viVZ*fmAVG2qKSl5-UDZm~31VQ*C~3=N1Uv>vDcXEPj^Z(J_xNBgNlQk@Byrp( zd6AimlumMBCpRFMk05@i9UtlYZ>e_X%9~sUFE}aSZCq+k-IllqZ@T-i5wpDN>6H6?DFlZ6pqThsb?Pkm~n zy+%4kSR99=4oD`3%-KuEYOkr|A0C)q>@!=Lq@IH4=-rr*E#e0_Ce48UEZBosieWL- z+erojF>dma&rRN|XeH=+twd`sGbWdTPgA7e7vAN{pQcK12nj|2fEN`20f_w0h9qSI z1F{l;uG0=uDrA6WQ8?PbU1k=BD#o`%ER30|OA6)Kw@@re`7B#WKm=_E)CIg~76Tbi z(qhSH;A*%Eei(?3m&uS^4!YAyJ&CRsyMQA|w2~RHR8SmCj!uxFfGntkL~9%XwB*QM z$yy3Wy%U6UBWa)5fcKJcnS9h)#l`^eT(K6gy33Zmb7D#PrD`O8L2Ypum2h>3-IMDV z|MwFMK(GtjGnsmc-w}4)z|_kIWei?wSIl$gSgV9u%R!THOK6;d=?4{Zb#PFE+NJg4 zEtIAcgKzVLX?0tVLd|pKh|U;%(#nT>Ank_4u~}DqCGkuzL!yP)*Hh|y!?nR{G%Q4L z|HI?B@Ar2{jqaWhSx>T1%F8%&(&a_Vt*_AhLc`R=dh&PI=Dxa#wMj~}$em0w=#uMD z_!~AM_yLCMG948!*#x5Fx`{De3tHc0+=`+p%{T8BhhYi;A1U|wM1q|aE32sj88Y;j zg6Nmm9CB_b&$%i4RQw&zJ~?sDFpCZjAsblYaEJx;_!4AUtVSfhS_Z(d5)6&5^PR2E z@?F=%0>8ytUr(UjbAPs zEGsm>f11#0X5pG?=x>OIJ~ORvM~nFOKOFqkH8{Hm)%%MPfDGf`fs0&FMM|`O17`wK z@_Hdaih{3inU^L*B~f?cLHc!Vsua+fKV)dQ+-JR)x9PhCyUK&XBtKUavGYXCsN&Wz zk>m-2PD`+Gk{W_2^vsEPu6UTSfQ#qMTjBwj7>!f~zR1zZ0MbN(J}XuochNaZKk;;{ zy1>N6ovpMY)?StY=2)=35}qJ40uk{$i@-10a0;i|o2+)G0C|(Yn6RMkzkqxx=IVS= z-bl>Ni%TvYLGKr%{SPb6o2mWRg6+fr0yZ3G1=o8oRu*f+K)Ck>d75vcy&L5&0wZdp zLE2iRsX)n-rDWr3Vry)Y_SnO{8ljZ!*UcsWTEP7RncfB~=WU^En8ggVl_J1?MhdS# z!8%?%ECmsw8Gj}NeV8n_Sx=?eB#_SZ$O%0R#MnFC+SafSH+TCX3MMMYB3u5L7X2}q zs5$qb;N2Tb_2#7KJ%#$Fy2%lgidnn=28+}+*vV?b{AqvVK3$`&TG4#1ZjyQ`AG|Vz z>e<+7_vjvwqbQ7r<4S7y4gSRFB@YeYu^8(wPy8amrpkQ2FF@ubfP-RFCJ&tofWJDc zFT1ZL^YTn(B?y^vkL>yY9Oxn%O#162NU(`hs8O*#MGnwSz$pslixUK{!oW|WO_A8# z0Ci3*>AJ~~JK=l& z{B6VRGh1?HC&m||zO@P6DUmDePnOp{|H2bM#c|t{^GH83B%1A##4eEX>u}w!1xP#R zdY9toz4}9%g;OxzRO%4cm%qp&#eT5>v1C$B24q~U9HKZ}=P}y_f-cjQs8;ZGJ7u7q zf$5Pr>Vn`0NdLNNU?#Eprl2Pom~KspJ{AB@EB=||Z|2cwLx_ql`JwiRSpa~yoK|W% z4RQf=x&R%u7&jwzoeaKmri9zcP$eupB%7#3@}Xzt%02yR=5{y}Irpbb%N#^$|A5ap zyg9KW<2D?bx>x7Ggb$hohJAmDS%AvUtC={#DMa{g&_)d*IJnY?CNkii81U>JTpv)f z;JVvHE$r%bq`Q(UE6n^|O-t*x9EpnG|HjTzcfi5i1TTX9Ek&(@HaAqaMxEHlQB zBWV4(=NpIfSq&$A6F+{p?x`Jn7_$5{YHanL4WP|d8%Fs>u-B2=2hn@={wsZ8f3L~7 z{Ak-IPNCe?C)#GIY{meC!!z*h3mm&2+?A#sfK-irns!JJHSURb-Ga$|gu()FI(zd9 zee(eBTnG<}Zo^FSFxzo4J}-2&*h-5R%JCq~sCYDkk4ZEErOCjiAtW1xdf=_@c(;G) zL#Q%P`h>Vg&IeCqU}8;T4CveLl48N=DMLTiND0g%T~+pywuG6w@g%YZ(h%34BwT!$(#RB*!%WYYshnjO?7Z*qqeQ&586lXAqDX z9*XtOai?y+yFF;pcpQ7J@V(;+uPs^^{@s0-!Z!)C3m7dcz@9j~(JKCwzWM_;L=frZ zcR}OUD4SiJ-v_bTd< z#G$;l#hvv&kBm{eW+8uxQ60sCCebV za}JeX$%Pv0BhEEi^q+Y)QTrk#PJ}y594MwP`>aj6F2fz??C-w$tA4&u@jYyas$oc zzUOdX{ILRyzRKi+Y?PK^zU^Hf=L=oiq>1Sp0D^k!` z%R|Fo#y4MSNcPr`L2|Qfon{xI@Q%kx_bsUnuLm`=&65i@t=Yn*JB?F9Hw z@^nFzN*yL-Z+6Y`#R8jZ>pS)*t$t6ykwszid*}N8$wNuK}8lw-I74s47k9{#;I6}NX=K6lTpVsZ+LG`TJ&i#5Tx=&Y! zZ2#Z#vI5R}#eShY%F9+aV(KXO1b5WBxCLZo=13wX z7xQv;s9W!2wtLN&n&Mf^ZAy8IiH85{+~1}~m)4dL%Tm`1RD0yaaiQh~)fWh+RA6iD zLTYk;QCmsv^Y4-$znM4e|BH5K*NrdbS$%MvU2<-K<0$r4q>2}1aLhZjZVO*&$vatK zFfsnld?g+|OKJ*7(diIS*=N^A>0wQR+4=*6 zUOD6_<36&14Q(sq+bX}=qq>}=^??w)Ibu?#rb(x3qpnvio)J3?-X7AVv9t6vWlqQ+ z&cKEX%VOm(ts^1MTWc|Szn0wMF~jPXsb5iod@gejR&H1}1@m`^sGpWB5EiAG;Y7iX z{yEpN1JMK3n5pcO#V*)OQ#O}gaJ5@!Gi)~u-*GP`uu}G*eKe2$fb|i2#X30HR}RNT z)icr7^|O=NB()pUZqem0o<%me1t^Xt*woc$E>{?C0$C@~(_Fq5UpePvrBV=^;wSnI zYl!&0gx@O$*Y?mZQxsg-3u&LJbr;yBRZ(`P&PCU2p@0%7(d}n5$?Km2(N3O5<(q%C+I^PX+o8e#z;i#d?`&j7ZyscGkNk||m zYqNa1&vYlcxv`59lDIl_gs`ulI!^*P(u{P!Db?p^A`m%bwZQHaPwQs_EEZu#Xl9F! ztbsLYs|u4}*YkHe8ftqyzG9f@H*oR$hQqhm6<<26avGR6k@8aPTYVzm#(}C;xx28WP>U!0@*kJhH|2Wfr zG99|3Fpy&Wt={uskl(Yy*SB7A7q;XK)}FtoX<`y6M?~Qso2qe(&420~uP|(5pzF|& z!H65JXR`GSUu?h1f_7sK1GLZwvi=t|QZlist=LN(4^IY^j~fStO+Yf!ulFF(sO=L|5Gu-c6C83v~pnc#SWUC z4-;A2-A^#;Kz%T}p$)o-vh5)JC$~&AMt{z*&asC8+eX=GXV1T>D7>Pb=+g`k>+PsGCL2;&XrQ zF}q2A5r_ThdLi@?HP4G}cODT*zpqrP|uUIE^CGpY^9yNelaiJOR7fju!p!CW{bOw6H z3d_%)$N(hyKL%mr2FN&^7&yu!LXzde%`(A`m(8~|{W4fh#C7i=X;Ne`nA{2Wp`sp5 zvaKFlJ(%45PzrOop-OuV=dx`GTU4pe$s7Q&(t*5#=D#UHJepK0OY+}fb5@FJR6y;) zbcE9o`~t~7?~#3+AJVtfU>O~?|Af5`H!4=cyfA(v?mOeHwG`7P!T5%M2CCjaA(XnEr8ci{{%9QkQvZ=@w*3YD?sf zEdS%h_xHsMF@r>nVlehh_Byuf#;KdfW8$?*`AMWp1{6n@nM}1= z0ZWlNXw+F%YaG0UvnpSOMq`vz*jiy427_|DQJL912zW`?|Ca+gidKeBsvec0YIuld zzyi!?9ZW$HjtL6Om3-JxyAW{l46I*@)cAYP1D>joXq}FZJh=)>P*~drBy$yT*Kf#& z=*Tg2q*oHm>@8dhKsywu!>dUz(WD=+->9nZu`v&GnqmZ62;PfmUhZCDL`mx@Xipkuh|ND$@>_Ebkimft(C>-DDh(O8Sm zag{M))fHhnCrDUs{92Mvx^3FEN%fQ@XjnaIY!WJFYdxicZ%|eDv#bF&@+eEymWRlj zgm%*RJ7w6Wh^^-%?TEMaVT-;!R%o91%&B!JB2^Ii6Zal9{{? zMVHn@b8=%{loMC;=d%&K8wQ>n1ICX`|C1v9I_1+sL+*7qTBk5J$}o;=9s|?J_~!n{ zb;E5OA0{Il_4I^3_qZkY{B}RE`8Uy}AkPEITaIwhWzv|>#!RJ-STk99e(;V+ogF;u zibD6e`2HOs>{Dm)jsuV4ToLhGkCM1iZfW1bh8yBDAF1D|(}=f+?~);Sr>tL1LhtbY zXkn=q06;5CHJ1ubqAE#}Q1g`~Pm>^-EY*7o|ENdz_Xps_5Z8KBnkK6C?f8Y5Ls;UTox@VrS?xfDJTW!s@Z%mBb`1>$X-@-Z>= zHlU1_fpP%AlnOt&isX@9m1&5cr2nJnEZmxG-#5NyDI1Kg0iy=!=n!S28R1At-RKfW zDI)rgvC-g0mpVE`9Uy6q6cmv#P*DL3^9v^W`pS>rfAAd7a~;op9rt;jpA+7PMb-fT zl>~G@AJRvGI$@z=A+l-C-hTx>G>2L=20dpbP7I?-;9dW)U~yvDo~DjGg2Y`R@(cp- zPz1{+OSA(}#_YmJVw61{)j21z$V2A?&_m?V0uDWZ$>90rDShi6=nwv_ui8uRf zoPlY*Ddu{mn)^;<9$Jfz00jxng8b>ob19rLmUWtO5G*VGXoF5ke-F2j)&)Ir$<)m; z7NN0;W5e^VzS6yxYO^N^ueX-B+l>@JcdPMsqjnSJYcZj^cb%6D$^?f0&^~bky7m;=VV^OI+N_MqwtqUeHl?VptD<8_~xatP~?V0H~e~i6Iu) zR)m=q!Ar;z9gM@L0H~V)%xMB@kO`m00)_|@^A|9QY*;7@wJcDw=1XiNKz%E~Q$iqH zjJeK`jiF0SlTnrg)I+`~h7fJOX5O^o4&QX$S6!;KAPlgG+zXGA4sJO8&C;q=bLJJ- zp*yPUSR>62AAifK3}&s+<8;OzpM`A-ZOlB^SN@ESw9HKTM@PqxVP!t7lmF9t;3d{s zDfWCS?jO5x6^&ggBe8Xpl{G)db+Vw@G2N{~%?v-c<3FT>??~^XN}8?4IWjSQA{2lE zNueWdQ6&22kWonpTYv!oAQ6g1d_e$u0o&+hd0@^4>N4Z-6AG%2foP}0PEt^p#Ua-K zz$YsMH|dDX6&RI`PM(8aD}WWwK^|;kBGv-*=g{XFvi5{i2?>(`F`Pt4Je;c+i!et& zR$D^h_LTS{hHUDFK??5j6*jE62z_>G>L4AyOhC0U4xbleCOMMpGmoCg3fuL_X;6igpWLc9PE6=6tC7y~h?PYi13V{(P4s8!4q z5;SD^xm(TaIdr!t-QUhuEme=YZ*dDd^wAQ!=9l_2nRLdG2p5emyVcX+cX3MgSqFerWpSbPB207zUaLJnL*)L~IK zr)md*IM2yfoNo!&o_5npF3E;ur4kM z^&UHCmeax>vMP+}XDpUH!op>Avov%wy>SH96Hb}A%B9#SGo;~E#6BA&7cF<|_W|Hn_W>e2Bs_7j z3cxu48FUdK!J69{YVh+%#ba>5lR0p4zQhk6?1k8i23ILq~0QT*iTV3$l#KTwNnFrR)d%^JXrTT+KCDzcFg4g_Ba%p9$ma1;p$yE>6ugi=`6CkkTmq0s0ppg zpw9*d%US}=N!S8lQ4PQd1H`g?VwVVA5nK^r2eM_urZyyO**gO)k#=`7mLc25LfI0~ z?QBHO9ENQLs$fa{kO6A4QHvnZ4zPX)v+<${Rk7pR<)fCxt?g`BM98|Ng2eR=%vCz- z8XI_>;8DSXEelW&4Pc!fhzDAzY(Bbzakxh$vCcT0M1V04flb9=%{kyvhO8Px0?UR| z0KiqZH&_vnAcPl)!37MINDoyZ-a;vF&y%k9OnAjOD|br|TR7)+>v4GLscBNB7%9=b zQ@7czq={c(p5sDUM6Odzlf*%Bq|8|j>(Yg@raF7wwA;ap{UQTc7T|3R_V9_#`I|KL z&#UUs53B!e^8euq=;k1;le9e5FR*8%WO)GwW|{Ih4ToH$QrL;_@M1lm3HQ)x?a%W~ z;cX>Mt2AVbxq-gh4QqcXzl-iF96fs|+pEeh`LvM2yB(|#zYGx4A6`H~E&dEg0I(4_ zd8YVu!-78w3y_roK(@L805-ahQxqxFR%r%k?=l2K<>d52{JQ917^O}b{$$eg_hzSG zix2g%t4RdjU(Wi-hRu4-u_(=5z$iZVx+_}Jr2$US!cvJ zA(zxCY~*PuZhxK0pYt_ok?Q%ibI*l&uhUXVkI8Q-Q_O#dKXPdPjfC+qAQ$diLVZ~k zG`QMqwQo`g1-SL#fR&#oZ#Pxe_fVTFcHaQ5RP1IbprA*8v=i&5Pv_$Sksp^D3lGxO zL3Ce(q1J-ouI{!{-6tTJq%6Q?rH;0?9#+$>INyr$OCBaFSO8og0z;7fYZ>GWK%)L= z*SpEugQr(pFCKJvZIWV5DmL-!6;HI3(4zKDDn_rZLj}9<%YP6!)OJAI5|#!dOG9Ut za*AR(U!1CTb7Mb99ePr*QmeKlA1{a}ENPng=HMD+L*pJtb|oBAZ$>#ip;0RKsZQtD z<{MJC!|fpzUT<#x{sR{6r#-PuzGI+fFxNyWu*w(#$@yyYTT$p{%`=qSZv?xHW}@u* z5nUpOW2A^^hYN>i0$mk~qv(?fVHpw7;B;kJ)$mG`hD-3qP>vL>zqxeUYb(mgb(=eK z=7#>}BKQvWo2cjLo{EUgf`g*DsD_+}ri&V8_qt+cD#veVr1G7lHf74_-qQzedy(?* z`2hUND}{h`NR81jA)zb&$&!6l{ULfQ{{ny##aGKzP?wO~y$dN5gr0_0`JQfXDeO<^ zXesHY0Nz$H5-E+Cu)30{eU+qwImjDT;@6ka3fGR6<(4Z|| zP==+adVpZ3Y=&)^IOSxh(XIEB?8359g1!{q&$-?=Vhcpl7w=aSKnBHB+DUp*m}ygj zu%YB2gPT(@0_X2UG1Y$aAL*v@EVMgfTIo+X5fRp=U1Fu?CBY?^`6lMlDAK>0s@Ej~ z(YmI}{DY`3dhT27D_XN{>5?kDg17W5;UEuM=4<8At+>_GmG$9eTH7S?P+`5DCIJ_k zALCnEDjcsih;`L;Pv+~lR(6UwDcH`^?`XA|m%jt=^2&cT_+F}gwOE5C5J&z2_-eL8_oqp5)&7Xl zat2NYQbG3!3qJB0OZNK8CSu@1r2L}|m~2r)fg0!E^d_XbICraYs5M9 zYEyhQ653M$pg5J(@z0oal(XkO{m7TXOcZ&$b$1UdJ}-+Gr(gv=L|s7hp87 z^UvFb@IPRmHX%8@sv z{h|ms*UN=O?{M=AT38i1SQ_x=`xy5Z4xJ@lp$OG09oqBWBJ`w{~2={t{T6iM+r#}*RSEjjYCte;KzlW2ShpaA+y#6`O-5^d;!hgH{_KhP$7?Ql8AlSxUHlC18zA_J&cPo&= z9J_4(n~%iJ?79}-?V#C3%|HA~{o*La;nX+pYKa3Ea0u0V!AWl>ez!mD-^yC3EC3Dy ztYWC1D1(InH&gi`7bmsR+AxnzI5T7&x0c=|tJ(m)JU>$Mg?cNBd0)6E=@Z^u(Mj4N zem`q99QS=AM~jE!IDAPf?{fDh0lBxgLw@WJXG@xx&bT=RyaVICqe2xh{ws=XtPYGq5L(Lvs8d2yToD}?9SP;-oMW34DwQXGJ z6v8!ShbV(uUFtg&xKX9Ao_hXQ1kgk_!=QE0=@hmB{jK%;fyaQK`n$L$cb=q0`$;(| zgmyM(#XOuzNaP!XJ_*g8J)BIe4Z^=p!F6kPM84q^!q02bdq?{nWMO{;V3 z>p6|@G@d92E+G3Eqh^1bCOg8d`+em@R`;_8?|35yI=?Oa^DQXu2%*ZOvvsPbDBkK- zZS#<3BW~&N=JNe+u9nR9M&|n+f}iQ#M}$hzwDf;~o9_y=TL@}Yrw*^%o!9639LksZ2~ z9lF8|kp~_XLLvuq5;nlG*qS%pJY6@b`gi=PHLMc=w6_sluLp}9H0UTR{R`K8z>%Uc zaOYwTZ)|5Y>6!NS1q)jBx_WDHmf(C#0oEy4ZKIrD&W|~EaIb60GfI@*q91qcPbI{NcfO*F7vd zi5r!;_3MX3*|B1X|5nahC0=|UfVCmEBX z7c>$KnE=ILF%)bJ3*V}|y8+X#=D57HrET4e`D3d;2-DZSF`(#V!saM5j52{d461!o>DE7jWq>tU*5t>#n3c z7O3p?{t9VC${1CDP)ZQaK=?%T1@F+OI1V2R%r9kRoY+tH*HN<)@huIDBhmR=Tfo8sgx{A8x zhM|E|P?HVYzYTd|a#%@32jH?XNp^;gnIPi||=92OpS~eht=^fBPUKH_YYA(*%(B zlvhZ5^VM*WHiI^k+;nr%^d_}MU$2GuUyr|aeUAawbeo-D$?o%xa9HEmgv24r+WW!> z`xY8rgTTk2Fa2Y%{NG*tx}yvvt;zPFXU)meVCA&K`{g|1qt$kF!;qeU(=y! z!L?paO8FTt`8$+|tLH`}iG~X#J)4Q?($<$OXC06r?p2@p->q{6_r7w5U4!`!R@0FX)E zPZL4ommsH$cyCN|sMSwM{F_gk0fSlhEq?2pB`b=h_+BCjqL+<+d+tmE==C2#8^kYd z`E0xhDh!0^2XM{VOIraDZ(-II)`L$UZyf^gc9QVX0V6W*(8K@TG7A_{3h!>BEwkNu zChb6fQ4XAa*LY6eVF|7KudUAZpDBto(5C01d~B0$*WCG`W=8tBuoGbOTl}Wi4s8pGm<^40A+oH0FE$0LbQC3+l8P)O6!uaQbbCW3E12 zDY~vu8}LH;B1l_A{PHR1t>aH~zD>ZszEKG>IZ8Q-yydb#Sa{bl9 zo3(|atvh=>@n%ZLXXf{X}0F9b+*S9j;>#qc{BS7!i%kj?N5Wz*+8uoh)jAzXnIcc63-0I45aUX zMj`TS&g=|ScA1BI#f>FEO+Yq24}3!?5EsMjXPc4^?0`my_K&Z5Em?+Q7Rz{1$%`G3SIt6r;~!+Y&$UFv{s0&N1+Y~91(x$pfQvy`aI`@}0Vk6H5G zAaYJ|!x)_Z`FVy=Uh}@fK7NHAw5t`bJ=>pY_n4&2zi)crgTil?p=`(V>;U&$`aUmd zWmlDVk2?PsrCy77_ zN0UK~W1e3o4qZ#}{1}?`0uR#$NGRrIAKn2FzPV*>#tCJ+>^TkdOn}@@l{p+ zPk8;BTLjGUOl;lUYh5B(Hy_RyRMs&?ppYN&twm>=yfpjJ^~`Oj zsB>NkPwljJsKxJ3L1_^?dyAXknex?{k2fJlW_M@pd3~*HC8}D>y}IQZYjWZ4Q+R3s zmnj6q)1!Az(c?G5c42=TB;cCShXNM)i9mz z1CQ&*&oMV-_X^h&V>usp8%i#I{&Z=t4=27e4dyTA>d$74JiG28&y8e-lixr*+ku{z zFMmLWVs}uraB#K)%T+w6H*)5`reNKq>DUP;t8fE(qtWXxDV}Kc$oiYlA=V{ff_#C!Qzl5LVyh&EpWojIO~TEQm5H_xfpXzVrPc+`ro@0@X({ zugb4pKOOhkTnqADLucYjpM&+p>13+A)TUdDPUIW?T!&Q+(4EuQ44tL#BLt@jt$QZk z>@jSeEsUDD?`HB-x%!k!i?Y*EvF+dLNW3`*^Bi&<1`VN~2xq}|pwZWQiOZ^YXWd)E zC=!?aQbRXyKRaP=rW>($ zt&?`0Y$`6?SzgFDz=7xADV0G6S+Hb0cx3vQWq>gq9= z)uolAE*#=Y;@jpEtDc}6zy8RG&4(|b2uW+|ywq0p*>fGw^fq%A&<}t7PxdY(kK{Kj z7=3VrF~Idh?(PaJEFk+lVjW4IERboB6_R@vmhL;aaK{U)&ri ztS@%yd2^3wUUuv?EzGT&9J%fvq91wTeq%gE4-pK+pX~{I+!I<8*O^*vO!A#8j#JDl zFw}ltjqY7&#b~q_z7I6&;02Aiaw-(i^_eCI&->_F~2M5Q5TTALp*M*DyA3THtTt| zk+usCQ2zx1AOYL|ufzcWqrlxj0DK!zM$FeD=l6OnmS%!=<`mkAD`Exkqvo{%(!*iD z?ul_F>EM1^(zo@y1r{NL)%2il4z1hkNLNU&Mp>(&eoI%^jB9MQXQe*3xX~^ZZ_Qli zT%sH|)wL$I&UFb>KPhT8Ot>2jf0?@P#&mI359)Le^pA8ZMuHU1uk@^;W$U{{6t6s5qw-Sg!LHyNdi49NiZi-e_f3We>OgP@)i>qy3*7C9Nux#RLYOj}0;;uP_k6s&i2Xj>v@xgAy z5uRp!QVDq-o^~&!`nJL!?LjwQPrJ}z_nr3RFBE%p1$KK@#yKdvcdx@7>|T$$G@H;x z9M^Q(N8@RQ4n7~L^blD6!sOmr@uZ=`rA&~4s2YnQN`3Ben~`aoc`*m+{ZIlRBU#b0>>GQG%NJ9H@Whh>yQL{NAkLtnQHqv*3= zV^+rJ@AlwpZCKVzEMDjy?k;oG4dQu7E^-{=VeALhm$oX7fS!9BlA;?`rC?q#;2W?h zctgeX#V`$G3w`0{cDzZ=^BFBNibY|+X$R{LP58D>kiF4C{s(I)dIWW9uvLX$Mh<7|HnUyjqW5w@Lhuge>^g&DEAsSC+SKn2pX%*R@M}KWH@fg zPKyK8WY6pU&*JTl{$6-=G!a)Kg?kH$V`NM1#5<(wsTl38yF_KD?tiB=pzmBqKzDG$ zPm~CaccYMu`qiQU_^4?^;9c#2?wsUTYYIqf`=nWlif4K>B_VIz(9!|)5-pK6;5C-K z4Ij@xfsM&}6gX?5du2S7YmecxOaiU`!NB zz{D8Bh2c1`(<~PJIKwx{siCt=ra()bf%mfh*`9a=r81$Lqe?YHPJT@C3Cucsuslh| zy@uo6+YAaSF{bsczpDzLmUatU!&yuqbiTK{x|c3keUm8+xMe)k^NqrbGJ~ny&U+Y6 zvcLGiFFxIKXr_@%bsxUcZ5nvNuh@ZOsjEwky_FBSUcUl)MxkQ_^syW4-fjDaeVWQT z1nNTV*ZPcFg3N9_-Du-$~zEsTh6BdRZfd=SJt-6NXGMbVwem| z>K>W1!($j*|3l9a%-vOpz@0P0qxZVqm&`iG950CUf|js_`&vv!NY>8KQue4vsVmT0 zpn;fN3M%$zl$HozBFArck~)0Rt6ro2V6S>3me&RE)JgKN!)xlBJU&I+d(R+!dC&!X zKB&9JX)O4V-kLYkzQgmtkpP6HQU1ebGE=_TfY(1~fxrKsUwz<^o%w#AUVDtzv7*7( zttAUN4gu5nzx>cZe0KS4n!YHP_KBv8t8$%v)mLNxT<`3(;mkH6-guDr&^)`XdWNiJ zQ16Cx88$C6jde&g*>oB#;urqWjfwV*aWq9gQOYa@pC9*{J^kfG&U=7g`?X1$LToRLV(3%bkNU^#$n;cXNV1LA54DPIdiJ#m24?nny%X zEraj0ea5cNDR%iWur~8(bcZP~Zj1`Ev&(ac=!(|h{Y&qWv#x2?w3v52m-92ImiSfi zhpv{4Z%dmk)G?qqbVQ@XSIQ~!fPw+ez@+9xlb);jwo=UI#|W*B4(qy|+^in#?5fR^ zxZMSr9^M5EP)oTmRa;wqI{$KcEYGN*pnn3{Vo^5H6?e#FAU{CG+D;V93_9TZPpgBU zt8ovZOaDDpj7UkE}L; zx)uiVl7~gRXm++lxbyzacX`m=xsZEPJQEjYVKNROcjB>&2Wu6riNCrpSHI5fw6j5T zX4+Fv*ezNL3FXSLYgt@}>U9xrcX-r4GgtQcf1iWWpPXydsL&Znyfl{~ zHSN(Ea;*=vE4pd-0-+M6J2VFQ2yF6*gX{)0@=#H4z{w=pKnG_okG=kovvdP z5${V#caiNr4rwm@F`(}?SMg$14mvasKf#H!M7W6V^RDPm){rOnK8^Tvhbkv*K6`d= zE@D%%xX;Tprd-M660<0l6`gn(%FfD(9bKJvxjKRMdTIfh+FyexlP z3QoS8M7(=7SVyr+Tm7aRYc5@e52#g_&zUEgNZ=o9SdRhZ&yPtJg&}=+fVpD#b$f#h zqL!})u+}&_L|v;0yEn4IEmGhy?E|a$j(2D{_7BvvCRN8^iFmZZrqfQQ`ddt3g=~34 z?EI^J)f$FnUJB30W1UCb`Jh-M^<&TJ$SpEDsSn{!5Buh&Mkl0Wn$)bD4&=#E3vZ>D zkjaW1^#lwcG#2V79#O^z@!-tCDv*RM6&!A~NRIeAg48PmEsC+Hnz37b za-1=h|2;tc^9oyY{OCZNn%KhrueX`aFV6(5s(h*%IU@6+k>t5N@7E$#sR;)RmmtM) zEL~BRPx5qwsadS1G|#cHWe`8nDYqmi`W%W*R(vQXJz_~6tVW%?#aK{RL20tSZfb3` zSfY&-PvUIJUo2C>vV2fTu`%)y#mZ!ro9-7grWtoxt3-4nz>iW}z2H)m4ArL~g%ni} zmNdNGZDK|8=wzy!PFihaU}_XeCxBCwrT2IJOzc5}_7pB}^B^CDKmEn6-732hWQgCk z;xAn>h@3ZgLNu&@D0nz(rLYx!{H?-uZ>0O26Rg3?9RMu_*niMg(dr?i3TOG5tOxX`$n7t2)QCa z9bBsTHli{vLBNy|wypLkjFwrNk)@k5e=`rsNri0*P|6ThNvQp#ATcsv7s5z$WuvM! zOVVUyf0CoIK^W>$DgF^1`ng#R3x>vdYlfthzQ2XcPRIJ4(B2|Mge6DBWrQirySURO z7Z-I7y~Q_zQbS&1in(n(jS_v_ndiwEt5xk&wWJoT=Ib>KoQ%vOqaSWF_La{;o<~Ev zDLSNl|06%5O11U|si*ynA)Str^{)zSC4hSI@V~l(@lx)wpL~l!GxI5S~O0nRZf?X*j>j7qw!0cFo16tB=;1Iuil)%1~3&2Dg zTQ%%=g@wH`jhuI|+I+lHtzH;EZlvA?aOSi_Bva{k07RLr!+lbU@14`VPw=$fV&4M^ zsjkic)!1rdPyF3fBdst19K`R2%sua!drVAe1jO@Il~p6jeUN{U_|uUbxtIma+W^Uj ztguWkotR1d7DJ*3KpkcgNGs^U6%0i#>e50?rm@TuJ3HI$FVy6ga1LGn);Q_r6@?rl z8B6NnKQ`QHwWEWM(22|?V0s*cE!PmZrR@e8M# zxE|+ds=RgIxO&MUWs8g|zpgA{?=@ETH0$KQ+lT{W>MH)d=x`A9$g7CuDcolh&9sPp z6M)oD)gT=)>VOzM&xh#jk1hvJ4iEbQV2M#{PVq$y`l0;xzKlXz86 zduwl^n^u{YmIj}Ompd05Jz%0s+9Qw8(g=PF?)t}HzF@Qd1z6!$whUM;RIP|(!eYZW?@&P3(Pwh{E$}Uvp z?f%4u(1d_oh9#VWASDj&R_ji7@ZP;eE^bUrk#V;> zyTt8upn6P<4m#_`9BYgO&SW#GgEtqW7x5EE+G5pMT&E>YW$CfNw1Ko?kRLyR|5h28 z0{fkFV9Pgjgeg=xMs3}$YV4^3-R@UjGl~#h?dxGU+`4u79rV)kT-Cj`D32N!_KDLA z{pbhks`meB{zg`YA@3E%-a5M6rPWBmq#0vgCg|7^zOvQToap;}RUZF7A~|vCUefg; ztmT&=x$=}!u7m$4w9Etn{S1IiV1PtMsGlDoS2v7^z0HG!aE}qr_jHRhB7aar(S?te zsw1RB5;6OtO9K~O{ztWv?UG)YYBQbZ=4;D!9emU(|Cq=L2nnhKd4DbdGM&YWM{!MfdR#lky$@2T%wIQ@`w?&Y~QGuifzW2n2?+Pa{A zlETn%@JHAE=cNVX+jeKa7kOMyHS}kroB;MEIxvMWW%!k&uK=frqY1KQs8^1O&z;q! zv?^d(GlfHFy=;{&=8I(FgB}Z2P~!{XbholPJW}JT9MSs@Ap@ipT=$dRNzf*S zWU~mSy@Ht8fc!)u?g4fk@g*K{sBPzYbdFo3hht-rb}ttqZ1n5rZNw96DQY%~`>8tR zCdXvmZQuYa;)#HVV!6yLRIVwy$QL=#5%B&RNT)&D`J}U}PT{~CCpP7UlG96$cES6t!uxO{)PmqL9q=gjK9^%Jqqg4nYUb>I5j zEAjMj@Ot++_4rT>q#k?XQwtUI&0g#!thnaT`pE8Qx61z}kic2h=X$~!&-K~jd+?Zt3j5E-wub|RUtg@`XF1jy0Via zQZ8YUbvA|;=heOfjuI-#;FLpSm5_mC_kIoBKp52COLjtRHoJl5V=>Ni$OQ(dhYwMH zio5$&&d8kis*M)7D(R_raMMh4#!^m8y`<3Zc)hs{x%5>;BuZg^GwN+xkE=}Q6z+IK zM7astb(@XQJ61jM`hU!aF>%K_eqN*1z+~;HfX1SBxK)MyoJ6cE!w1MSnR;mPXbX!#?$ zH9cbo2_TS1KW}#$z-y+w#|wfX*;m2O8k6AC?;1b?^$H%Y1Ft{H!ds{6f4qq84}0lE z(wg^Dx9V&*t~5AI^lsH@HLf;RD_Q8>1P=?8>`R;FudGei>+J1kf@Y^oWbP4L=#3F_ zO3o#-mexu7A^sOSYDt1Cu=khD!UDT%&F{js=_~bAqtf^qoc|qfo4PA*u9xsJXOBFA z>~=L^@hm(FtqobyAw?Hb!;QPTdt>P}oKSF_BA!k=XP8nsUK8bhM`+o!je7lULE7JM zipGq1++$XD>6}#qOjb!I!6jlJ)2=viRmZb_=(hIpW>&Pz#_87MkFO+_=05K9POp|> z>Qr15dAB_3HQ|@Id^MGn-mR~%+cy+-!K3ao{6wR)|Nm+&_&Q~O(Rtc`8TyG zG~(+zlDF~%zML2Wv@LML!7=Ld>BKsHn4JWUN#OF^9Nee1X_~!8j$Hi$X0trWaSGm+ z=Ttg%$AM;?-2erGL0 z)jOpIRz8P3`Qc(;<*%KG6vwXBL6UaBq*N9#TH62fla`L2+q4D)_xjjIxxS*ji*onr zX{}XeT?Jfj^uzWFKbexN@2zB7M`;-81@<`P!~@G&(#!jK4wzTU>gqC2m(raOtj_jE z@lm8{H$C#>Cal2B#YMB$zl1TSpq&udP-O1g+>HKT!02U+_wc)%8)dcRCJM$3zrhGm z?VT%-)XS1?kx7Kzs|!m~-*_#xr(Y{Z+X>x`*XAja--?h4fy{w zeOvVN9PH~8c4$9td@cewDuC2V9Wn42;^6*~SIBEoOX0xV;OYzZ>N)bA@FtN5BDf|@ z7u0dfZkm{)-eg|epz;$lO%^1Y59u>JecQ`BPX+J2 z)MuiN2&gox4$JO}Odc7}iw%41aD|xBa8cQ{Y3)@_bi|(TYPuN`=7`6{U%sUwMM8fu zNV@A%o$T^x1f~N7GlP2CglpwjQGt&AkpW3g4-SdF-tKXC5q~OrR3x^oicVyfSlmCE zGR|@bmP+|9PSkwK zD3<`g7(w0!b^QE)2FB&OjfPR!3GCxhWD9%*rLz&95<`NPem$n zk|u+_H}I|sM?=5Lt0g2Sb^h4K=^}bWFMUrQM@-vmkMU(2qo;sz@76H0#~3$%o+Hrr8=0Yqg!kn|zO_>+{| zhg~c+^THS-QOv_)RkCMjI z+*%3Iz9K|5v1snnM)_Uoi9t;*IT)VKj1yPhn4oSs#DgK0M1unqS%J4^%DzU@Y(OR2RMf z3{My)e?@CT;_Vgc?;UUj&baQ&mYyZ>44s%~e#VfSzhft1P2b>#HerNvQI5tivrsmw zDOVBnaD>|;d{1_X@(TsZ*x5|Vq-)y4r6AeEF;`$MQ%KJT8q!^CjT$3hr=vUWt|w^F z{?O;5g6*#tT;@h5EpFgguy>0p6`8kkK6)rHua2sEZ1z{OyIlVv-L9S-=a2ltuoCtz z$j~yNGih%LyJ%a=fY zO~9T;@D6>m1}hQOLm+1APURx!roS)ATJ9*dl0UIoW-bW1I6WHEjcX{f$d2z?!R`On zu$?t{m#Gv#N43#%aph(;GOG_zpAI?gW6NH_TlG;56(^5zCQaMD<-;{_Qxzqqd{a=Q z=I7Xiyou$>gsD%iaZlfYb(U*71X;#+iy@8b0^Jbu`CEcBVnXzcy4s!+a|w7T&r>6Jc(^Tkc}HK8AL zbnJ4}MW8g8#t9lXu3M8is(Lsu`!L;b`P;rR5^-fb1n*OQE={+6h4Fy=h^*x9E@^n% z$0I1=yP6oSUEP=kIy?&~lx_}F?IDjUT5itXd*5@7Wck17>CFQHd^+ZwOLi-MySSoT zBKOc)Qtq#yxoY$c2{k_gI8TLrwp7jayA z3eT?Z(}x4k`F-&U=7&Wb!gu(%`4(i1y)Crwok+VO?^hqkn$(w{dU$$wRE2PS8|y04 z{M{i#&$(!%hY*%>gdj0fzbw9ogH<;B)uek;pH!os3NP1sx9hr>xc;e?yi~8=H0<)~ z1^$PUiX|m;YPo4LoHJF&O^3VPMzn&e1ihAW-7L3(Cz$F>fYbeT7ka}GUoAY zJ=AMq)pNF%IUN*Nz#F^+eOg+4Vh*)ka29V_Osv-X>QxvjZfmbD*?#@20^9+L*OjFP z=!LszbpvEFdQe&n=nX#VS$BnMqv>k|Mz=aAgawhd+|?#5c1q!9s!J@^alhQggi8xe zSsZ`)Tp$gc9HV=Wwl7Mlq7Mx6!tW7 zjg@#5K>hi}p^M)6WdXppFpI4@bswyRMwSIULVUKcu5v@%mrSiEJIdp@ly3@$cAcQI?|uaNixXt7U(ZD|vRQ2C z3!2<>a!J(5Dt`tnlnj)*T~*BKj}LZmfma_MCg@sgoXoS05J02bIo|O6mu}>UE{k3- zN~Jt6UKbjlCt?aA4pXoXOth~XmddVaNWvP~DbG-I&nx8Mj1+#-ZDVX2cj}o+^9LLB zDp5l--Z5Q&|D}{%tv&NpUezY|e5b`WDS$kvm#6cq>G&O3Kkb4}u#(e~^NUn{ZcHh5 zsz*CporLQ(GNG*7NbN=ROli36uCvY)8&7&oU7Me^T_s+4CpoTHHf~gKK^l_+6uMbu zv*z#@#N`J&&$^UBml@zCc0o`nmq^Aszq=hAB)5@Yd>6|nVk@&1u=iIg){Q{EdTq-Y z3e`zYBh@*U_`*Y@YJt_cUpQxn>QL@eXCuX2{GeH%OO^=>G^9KiBPehk)alwNem>}M z!WA592|6%U{7-FF5{m=;ZNQ;{|BapVi3j;zuyDYhC6Qr^J5mMO>ibx3MoOtxaOv&j zNfH1^6LJ&s+#!!e@twQ2Q3`?|aA1XQ-VVU7iE6(i5)z+OXXI%da~qgq@8moorPJEF zwYoP8`2G&kob?WV4C#wLj}+4-$hIg?Hzw(oYEZ#vQA&fG5;z;ZvVu~5Bi>*qaZeW9 z^#3S2_eZApKaMk|Z7wkzbE~mouDRbr%rFdd4WZ3Fw-Az4HZ#NAhq-mkErgInshCS{ z2_bYFQ7V<>bkynO>-#5s-amXk@6YS?d_ErHw=Y&h!QxrE`p`aph2d<;dg9QN?6w;> zL4@6zOB;jLvxD3Zt&F(t%s%R)R=oRu>FIifUvAB3t$XNCLIkNF6Q zit0Lkl_~A;puDIwCrK0vt|`XxWlB6y?pkI(BIeDKMEpC2&LAE6`GNNffi8@)4=uzd zAB-Q_ytBZ8D~XQ63$zk5+R(M>ALm{& zq$PLS!v|?+yNYuAWs>gDRroqnG1bNr^b45EzyV3C54PubgbenCDkp@<+0&99;+$|W67M`0^(z7rU_E_vkI_Tzh{{RI~|Hs=^j6PC8q z?M-Gjy%5}R!HXQ%nhv`+J~{L_$INjs^DYR!>V|pK$=Y2f9%L&JFVQ8D6vO3GSTiMo zo%^g4el|nYmy~ga$bVPvxzE0VsCD5OX&923b8rTt+A?5>;Vr9Rv?tg-CW0L|s)Y!h zjSgzpw>p`wE5a|S!cWX71}2ol=7Yxv;5{FDOI-dg7NfENGeja)O#p#-fvanHo3xRL zPB&HjEj%g1Fyi>@(ah!?I}r(Ors>1tq*hp0mU915)1YFZ3QBE&AlXXL1KBZ#D0^&W zGtOw0Tx-ck)>p;%iJCnv$Z5?fd6ox$A~JNSBso3aH*Lz5`Db>%b)wo>t+ODfB7c9i z?;PWnt(Bl=vAdR9&l9?mz!?K8D?^U8s@pgdH6!rQ{WX?o|l-lMTu@je7@WvKo2noZ0a_lo4o2VmgF3UfMF>+LtD zE2ZrDd_cHQS-^6$KD&%$#&k|$Ic&ieI4>`C=J6$z8<pm0O<&&jc^+OfHbVU*0iC?BQDwI_jmg)Rgc%fECS!wNjbYa0q ziH^wD7D!R9?wXNKCX6Eiv?jTj+la_`#3ge6s;$t=BpGBD#6~xtaJd|h&*+7{`#?w#liB1*3(ucTq)QwnKMM5R2511&toS(awLFQU^Fq2_ z3l-`X@ROFvZ#ZTV)LWWfA{MYe;PZNhJ>XEywAPuj`#yiXB( zYGwdPz~y6W(m&i=@;!@clcxC{<~FJKEhJ6ZC?gH`lMhT;8NR>^ws)>^pICBb-~J*5kY^4cwfiY0%}fDOSz>3>Y!Viwwq z`fERZzlXhf|KpZ=6+@R(^3*|)*w8uV5B=4=m?*4fa9-fVE~{PQ4@(g{Y`1?h5&{ zTWEDb_mo7Q1pO;$+7|!WcKPU(yWs>wt#q!_e|l7~e+5V%lm53FcMf!2oi5{HZ7koqWub*YP?rL`e-VU!W;%8oECLqkKnI|RSZm)D_>w0drMFkr%VBdA= zi3!IJ*waQgiMaI?X~6EB!tuYp>8eb6HNQx?wPb~PnpBa2vJ(cY#Z?u24gMFY@1dSj zNsgc-VAVN6ccMSygq8|64yFX7)K8qfjLAA$6TgyuzfhKJ^IAsadGGfHbRF3wI>VZD z(q8?Oza*2_T3lEl9Y(YC^=$aZ*={z`{&Zr)MO2m$!@j9Ipg+h_2Cfc*SE@@LGUK8P zIv7*l5_vSLP_7#XJ^dO&)|lnUWr``9Wr8J@qFc5b9a*04GX#^IoX%>c&x#N=cb_Wv z*UXs8F^FTEio+nqX+Em5$gq2fSlVNk-4Q!KXhfV@0%5|(YCDUC z%f4tCIii0CtTr6pj)+a|$C!x2^p=;)NheNFd0Qw?{G`Bp&57=Cb@?u`4fRPwT%^*F zUXf6-wxr5}iKFtbR?RlYo|#Xr0Ml&!@P$F>*DXRwa9^BEES6KHr4i%pfAaY|%f_F_ zPSfx$(F+(2Br#LB7D3K~-&k|Eg*SM1k>E=@{Abm?{V(L%D{Wp}%Zv%ZPh@(hycLy1 zr=k{gUNuCBwi6XTo@fLSBRtzmB8yKiN2R|#DIE(rIMB3fKfFp@_ zMlZ7P1W$CGh;#Z(h`Uq9FV2WW$FqhVxSTpIGh3e+mkRG_11B%( zmmn@)hlIAbuB6^lcGGmfVc2!u@RM@Ul(u67pY4e%bP-LrQcLoS_Fd=Q8dPNAGk;kZ z6ONN?WHk>2_NOR21+IVxYU0BSuwl{F7-Ga#zyz`LYr#8}%#giBj(}^=URXD+H=M z39Fxmyq=bty3@5ijvI;bS#xvn1ogWW%2zb}ZAA`8QA*Fz9SQ}#%KihDN8Wm}372tD zYjV`AfHKrh@7v6ldxhB$t(hRxk}Qp7lzWZlW`De+YE8qQ)1RLgJ>H@#8lFM2=QZ_} zT+Y0$lITxg-!Wzc{JWr6To_pjt&aO=TKjw2sDn>PQD~V&|LvfUda=6q7quh0w59y+ z>L-%6=72$Ew*su-npqFX-vSH&*&6}An=@?rTT=lLOv%4EcL?kttK^bo4c z!Af&0bt35LzxM?%AS)|oI>?H`ZtG}NMG+&6CYE1aXi4C+CwVW@N_`ch3V00c?+g`# zz7|D!w@TK#ca8S5Yv-FtG_~s^y&B{RN9Dfy)mGM+ff0@XlJKagV>RXUfC-8E*;%VQ zC1zJXpUOuqIREJ}I3=p?YTNn@e^p5&N4fhz^fhwS_}D0fzw>TJFe&XD8F2;(9~RV-k)tE&s4+1T~0SbASM2&}+rwujUCi;H@Oq>Kc! zB$_w_>OO0sY7~6wJZr4E%()eN0EM!yqaSxWAkPOnR+V<_fs$FGPRhhHIFW9NGA7pH zQU=3Tv$z+F1vB|`Jmk!jM(vEW6|*nAbQ0gaaqn+KWu*!UB~qDWRqBY%^Zl19lePk} zm3uk^6t3Wv@?680LY~}jEbnF|!pm}cOq&1|o-*W%=M|m45HhoSx4x>^tkX`M ziDG$l1zmi`=Czn8UYEpdi}X~M>8b-2h1O2k!#O70iWByvU!3X z!($wa)yYs#U)QeY10G!N%^WTk|#@lv@pJ!I*?T%yr;ay` zj0Xja471LM_HGGHb}~l2z1}4aUY7P53A+D+4A35!dKLCe@61x0POFw>#Z!e zGn2-St8DCfDyOHOJ)ff}p&;P<_;Ctw+{wz@0`O%d{=y55<~?II-*a!HZq6$_zSn5% zYl?5`n{aL>gr^M|5gm4ND{&P@Dd zCjdu^2s_a?PmI}=ijuuwN%#gGBE;jaO3G(_vl|cdBXu^*&sn#t5igAOvUw91WWz3T6Q`J$V2DQ8 zCybjS1-vbj7Xd3wpLej~Yrjyv{L=}D?#sL|7zAH?mn+B%KAYx<1}T)~hrVBa>Jg(P z;@$_*V~>t1b1xnsZaQxf57uK^mKv`m#Vgk%A|qp^Zo&^{*b|* zp)bshx#v6D-CTrZ)VY(KQu!N~@HqZ>LAF%V46vfMw@nV=HO;o*)qkU^Fm(dQv8L z4rXUST-BuOB;+%%h|G(i$J#AR?G1+>z5Es{V3*dK0ja3J*#okC`e2)TIx+LpPH{5n zXq5kyd-c@W=CKeA#ZV0fHn%zCq(%`kn&E-3FRk5)p3+(7(x%6vJ2QP7GQ(;M{v*v9 z{2n$yOUk|ErYz@v+MG&kwl*=a3vM1nH*n+rd&Xyx5o2M4HW|9wRhcRxFc%kS%n^F0 ziwC#QdMFAi8&D()ftYlFBoR>SmLp>@1ZrSru4M?_TX52n8srFoi${KZ2-?{3+#t>n z7Qkj~$;%OelCMVQ<3^U+it^n`$N3Lm2H7mWnG&X`-M+Jtrs(N@|8h25fpp+7X~AP_ z;@H~~)-3;@92{G1ZpNy-pt|rni+8qt1ye}+Cq{&Hov6zxE>FIP&kS>7-SWM)90y*7yFsZ&WSzjdFv;px<$0mX4w?b?`rFkFp)OhdA z>$7uynM{Y8j-HRR`|2b20}bzzIToh2rq@Z8{gSi0E%a{-C}aQm@zojGbgsJ(B&kuj z2{x){LQOC^g8uD+_HTT+?R3SNJj5%Jwc;i=r+?fokZl+On+xa~QViQfYJXOyY8JTX z9ZhtjTBM9%(&r5M9!D2>&hJ->)i6cfMbk^MYW@sY`AI@4PKkXW=&&=PcW-3Vf8Lo7 zc*WBb{4?tb|HKkZP$sFV%zr{-e|cO6SBYQ5i3_5{M@qXSO7ZC?ePLz(6hNRuX{QZ) zId2_|%{OBtlzld{qI&$unXz#^jd#|eNqa^RTuDL<`Qm>s_!U=Kr-EEZR;D$J zGM67OiY)649?cJ#JC!mP{%zh1_Edrk@ogrrwL@TNI7Ymxbs+qEc8>SUG4r^m;r|JH zktR(Z*hPlW*SxCI&pZL6}an# zW1AorlznQu$PQgS{@=21f3~gXTe(KJ$V#jd8#_tH;d+`(+OmB!>1Z%Znp7j{I=aq&$vaNYDMsa z7oH`wJs*O*&T``#Cqpho4b%@Z=A$PM-rW zWsP`I;b+L94NjTH$>3Sm5t5 z>3d@nZT26moJp*ymX~B7R>oe0(7*C_R_ol|bb$T3qdR{UF-W3cGgCk0u@-ytBH;x( zCFjK*VL6i^K8rJG5bQo8D+wKXw^xDQ-C8GjMBo_b%%v)m+H7u zF-M14{HZ`2a_^9mpe;rDz)@zL$ZD?IXL2eHt7|?A*_* zoSP(jh?VUY(>BznDtYI9`>%Pu9z_p9`b`o5Msn*K*q~NF%iqGh|C9NZIND6J?bsXZ zMUKfG855j%722F5{fmBfTu6IAhdXdHF8XoubjGI?$N1{U;E+b->Zc*WsXnBwapUl* zX@umgeRW=id=m&0Bb+vEcOtFJaR0Dtz(w&PvWZV%Jdzf5dvvz*2~n-|9qvrP;{5Nr zvG$i<0X%!1VtND~PaOL5DtcCiR&I`Zx)gSp@^nC2<^KG-vR^$RI)Wnxm;L@w-cAd- zDry!fh#kp(j5#RE?3`6rTZ#{Kcg8olY(G|#s1F7|Nn4O*40;B~yCKXpakDdj5Y*u%Qu0d^7;Tc#@*CRamMQHz98m%Bq5-{G!=I~1FFVWj{{}Wqdq@?y zl9(RC+tak|@jS5)eeQIxX`AG&QMVCnf}yR`zd+c-GJP$M#P8wHvH}^N<(jl+wBu;d z{%42YDKzZ}--<^{C%8$vZY3oP@3AOpjLVQ|Ct+Iz`Eqrt@&e74s)~`9| z`UBnGW=L;bqHI%+@ACXn$JlSvu7S~$(H{ylMLfbr=)<$@xO&znz~fg>T#pmJ$TBDO z80bUS#s*me=$xn}vFh6?`)~Su*fdb}WsNT}(^XPL4$+;$;-JKzf3w5NbPTEBIM70O zIBRy1gjegVVvpIYjdKe8ZSoJ}Ps;#+|FkI+Ys5;Qjp#F;4SGcBg}$jpRS_x29zSf2CXtNv=_J0lytF6%WXSiT%-j1yY?kci`oGNfm7Ra`PAks3RNehZe~H4VMQ82vrM96$NsDFe@kFZv)4Zv)pt1%E4zOf9n* z%^+aJa~+eH4&!_g`d4XuzW*&~l0e+xGwXj{yqCj$`1WGX0S(kB)T&AM zLT3rk5Qbg=>?uat;yMO9b&qg_1WA9Bjb+*|H8X#W&AEaZe*v^ zKl_k{+d-V1`+ORsWgDmc-G%mkGa0 zresVA{iKc6jp^~q>sK!{j%S_=hWLIrDJATRo-Vm5d%3BwI!ZDJUydx_SB>$P8>J)Db9v-A@6G6OUWYgk;F z&}NK^oB^TbJj^1*<6Tbl%M0fp968PrzzR7ZNDwWwwlHg@(Ng}d)aa23JF2*ar)#yu z?Uqi<&}L#7jEp6U4McTV*XGIH>en5JYQq3kK9_m8j3cY$LRC;LR`y1T#RkQu8g1vc z<=hAOIaTL_CiJ9&o4=1aosX_qoB9;ZiLW&(vk3vd8IZZDsB?u7(a0K%*OUr3TK!OO z7^2IqK)bhM@5OeIT~t<@ks4rg;M4@Ff$mO`90^ggFKeKG+^(o)A=k?E(eYz4!GnsS zZWv|@w<>e6r_q_-8W$$(cJ6a%rT_Jc4W=h+9LPG~G=zit?u01o59bsU+NaapgDTF| z_O-jjNr^`1MJe22-l#YEPUxAPIp|Y{K1(!J6186@lA&;SMk7Rn-sJ?u2q`wQ+}nKg z2N(|>02(Uek_kZdV?Ud6a(zNUP4ag%T*o(N)OzwL7@5W(bwa#rwf*bMG#k4PQi$ch z)Bk>{jJ1l`l6^1K@D^rZ7h7a$C$wQAXNFF}0kl;1d;kV7-~Nq(8Z$7qvrP7;)w<)!`fmbOtPiT6_lKdjas*?+= zJO3_>!1?t0clUW6VXxaFeJH>uFZ%YwtvdC}2!F@8=uup^p<{xOa@2O1Qh#bYPy9%9*>?rU+3_fmD4UVKWYIIrLD8ml zG>aKVKCW%>7~;U+ z-4evguZ8IqbznL);1UaogVxpdKO;RgC18@PgGL$122Hk3jz`Fl){W>KNh|(IqNg!y z=|3DWJVgjr8+YH#)F$DXPi>;V7v#;)d>ApE^4W+#U(=c_)4dFolaHqdkg%Q^I#_M( z3#@U_JIs|Lf48ODvR4iomr`~aP}$Aqi9MQR4ZkRO#;S6j%?CY~PLrL{$zEtANlKlo zZgr##wPzQBo9g)0*y-{H09AVpqEHguTA}lBQDUzC!m4_2OiT=i@3t z*)ZrYXM^+Vmsjrsv<;Vr}`x{GH zXQ%py7m#FFhA`^sOp#&PULRU)L`Y^TvZ0`?jan=A!h|KiBum}0Bd})?fwH#M4nEA& zjzg%^D?x}pz9TRlj^Gw2UlQjw*^oR}iEm8CupA-kE2GjcbjJ`?hs$+hqc~ZK27ZOf zG{nK%ZzA5hw3*aEy5n*KI=ScveZseyN{A4+t(1bUqe>WJ97TXqO z_@ja(>rpX-&xCF%S{ci;L>Fd}6gBlbwwm|qa`)oUFvyk!KJ5cNZk$oMM6eL=ZV@>? zBF3p?XJh>f4j+Oml53NLHnc@{nB+*eI3p!`-SQqrEb=0jE&|7%=g~}WIHaOX^~f*e zMdyW%-BF9b470oXa9ddg0lkpg&ImjLZt_+Xy9FnMwRMbZ9M-Yo5DAtJz&cxfBq-&% zdX`Jwo#jjeqi%;~hfBUcna|BKdwRB~>&xdY>+t}{#e0NCnfD?G!{#X9Of$%GY<#mL zt=FVMPpB;VvYEX}khB^@0F&Cqv=sl^`y9&jIMnDA3;=7&)$W8+K8pkcRdgcfO73{K zXr#QZGjNFj>a*8quGw_a_CG=_sc_(v8fOF{qFUEyx1J%Mp!mF&O1Z)!sqj#@{ijG$ zqVxSG4`@b*k-sa|eO)k%Aefro8sp|x9j-RR(jrj}8ndMY?Aj0e(tmDV7OiL&!VuGI z;?N6CMvh$3e516gbH#6O;lyJ+G6s`yexPrIx6jz@trav&UC1kaNss08kdx2D$?@c8 z(|fn*)jmhZ(vTM18}Xl0|Pax2Dry9kGm# z`9_1AoL-X~+p;}V*DdVQrg-FTvB=5)iXZ&t*@`MwgBabZn)njA=~*20*Y%!DYBvUs zUN1_|ysaNEs9Mb@RaE#FB!MiVA|FkKaRlMCA*Ge&btBDhHL>V!Xw=At8A&OvY7p0} zWhP>7vA%seHTe4F`uADNL?KF!8}`~?M49gs%OXyM;ow<{)emxOYV1)yq;jDngG^M(hvFyPP4RK=IA`#8yE^o`qnXb@$M5gtee&1JBV) z*dNm5Lbf3ATTi+&ytgINYyad-Hc`hJ{yE3QT-JGCZPqhvM%-+%F5~kwsAI>tAQj*D z1i6=S`yOYe4t+jOu|fr;0^vq);iu5+`w<&a;)=N`xT6@#Ep31_jH0_k2Yzc(ykDm% zcT4x)p(jO+T*&z%L=^o%!Jk!?3i>aN~uWQw|foxM6%50vg&QEFcyiC4YhO$ zhOTXgm0*aYVE52SA*d+=6v3pm(1b*nk1}v0)@jX#l*y64Z}2`{M#|Vh{#dpZB$6`BLok% z$w%6)B{1{mk2pXC^t>P6`ASl(>=Db;#5V6tUGNFTtv1nSK9j+b7yDT7#*ypIPejky zd|Bp+>>LR=P_f4B#)(-3-FvB~y#&Nyj`%Sjcb5Sn+Nv{y))zYf(!X;*>IJ#|04U3@ z2SzJu%)FlqAwyTehi2a6`2aMs(KRPnmdX1PH=%Lln+4on_!LxaR|j(}=F7_+5w0TC zMc^7y07~Nji)$_F&hd0ylc&*I01Z|hyqB%%#xq04b}j8bfR1~gHGX-J&Fm*q(TaEq zEFu>+668Fc0SU2l(!KDONVBHJyIKpKIO=lZI0xa9V;R|O7_UCea}Do7hNrd)_I*Qa z4H+oUjCD&eT+j`U_$?F>4h3w8tC92}i4kdYPw zIFPR6cBVo8+;Oq11>5mizL9*nWmgwCIygv+e@Fp8)Ku!eeav@F zB--`rx>_Yq?TiBtx|l9#H0t|h2K0xlindp?8Ww%-qBc8$t+Cb!QdIp-(;aDrFcrT^ zp*Wy(j|z8P?KVpWtWR~|y#Lg$hHzGs*Df#d`R%!U9ne<8Wtybcp$pZ(sbr^*G$n<% zsy{dU{93GDIRIze)k$ktT~ML~E7868A_Sfwlh5UWwRC11-yN6&2;3Rs#ujt9Fl%i_ zCqs6I;>II}r~)Vla+>Vp*zTFv;+eMFFb`9^H@pJtW^eg3kOS>61~U8#;uOdM^_?~J zj`hd$&BxZH7jGH$cSS6_Vv)E%M%uI-ic3bxMz25yV7GzTjNMwW3=0bC;6MHggi<-D zES6AQ$*fa~>uAnbf-z4%^k|1{hRi+#G-i6*SykXNg$fh;_H!Q**DW3|#0_#~Kcd4b zJeYXvXD&P`J0pX^O)0M8nWubGE~I2nz8Vbbeq5qVS`ZYQVfe7aEtV@&eC|ZY1jwbX zcs0^3RS{L0-sasXH_7d`^b{Y*of=q^nLfT^Wb#zM>i`Xu5|{X@B0?pb z@48t16LD%vOXab?ib04y3OddYt*#AG91?V2lX15O$4r2Fb^=1M`3KXkh@CZKw!k14 z^*T{Nfkjpt`{=cb+f1y7?dQag9g$AYfbLG4vqHi?^<=G?|NEE` zx*Qzi)bK~I%}_a?KI@&8Hx?1$gH8J;UGIGk5@G~hn;NX&h!*5;)ieo5<$nZGys=#> z-I#zo#j?SYurV(#RS8C|JG_X~N1}W22yv2`U3y>fpjff0lg>r)RF3oytP|cA?kg_s zN9r1>vpn4h*}Ws@udB2^3UcTFYu*+!KjVj5^VkSaav(t`PwR~RqgnX@{YvBLFj#V5 zr~C)EdtXU9#|D0M%DIY%F5Z=F={Vahcy1J1)IrgCuOfZmVy|vWfycgg+1b!M zyMx4Z96HuZc;_#c@RSo3>OyR@F}o^o9Qf({zvIpVo3`GAu*r-d7OkbH$2ySdW@;C1 zLSNs#Rl9ORZqn7tPygH&FDx-ECRgRZ`SWs;=?CZ#!PqBe6XC91$XOg-UPK|SgLQ*Hap}3tHtB?sV!pL% zes=l0=Kc0c&4|X+JNL*4E~c9~=n+}2Qo|Khuns*qZB&`8958>nI`Ig^${HLybo1|) zM3yqJcGIh0Fp5N0*54U{7ZwNA@ic53;OHllAJT-3F*lP&mYX&N;Q#Bbi~9|2RmJ} zf7%?{mB+co3j^AfoN5i$96xj@wAydK>lB-CAPf!VJTq@@vWmsaN13<Ka*9b#SVNZKYUVGn{w%$GuR zR#>dXXN~WpXJEIKK1L%xPIu+I+P`+5O0O?C$d`e%28r_!koHmC+<@nP__$pU-&3;EC7t?pxfr(ItYjFk5GP`mO~ ztctL%`vdElbF0`J3qRDc*WGQGw|}yuYrcvzQ_&b;)|v1%YUGDYva|IPCO{$9S|61v zWRDi$GgA$fwD5XBmhWfxC~Ip}W$~Va{TWg2kObZeldn`>H!2mvCHjpZ(}oX^&*!i* zBsla^^Ly_JZ0i*oQz{4;O>Q^pysPsbhdS)sO4v=_vTUG-`Fq?D^1I=05_K8zr%*%+k6{;2ieDrOnI4#FZ;1jV1r&svpKR!Dc z6Th*YQ=f6y+)W&IL?tyhT7)4mq-ZZWmqG+wb!a@2ZJ#Fmx}=~cR{U6p^;B62uh&fA zst=0%zT@?|rv?j1sCZHu*1pNvVjzcLKr3h8{V)MYEGA zf7@_(l{H(D7aS?CXy>92VhybeU%+CUc?Pd65=$0PG=sbdi%9k6))xz^Nk&IwjZ|aT z_itrAeMq17Ub=#bTsL|jtKB#R$}_uhEa4j&5+S5Q?24;*9&NqVRL`=$iDB9=PXzq* z31v38O1~iegQxf*{9oiD#WvvFP*bv`H}8Vdok!4_`TyQOG?)ZsGUL`{npUn8(pPrR zDS!S)fB%Nn+gaCM4RGA31c4_K`;YbThtY7`HQ{)--^#&W>raC2QDcbj#v;wsbC|Ph zxp+k_m5g%x#zy@mggIAF^R4FV(kr4(E@F1K46&YLcU^wHteI`R!(G&8b-w#{a9h>7 zkN&vqa~giZ?nN6}_P}Jwz45}v4aiH#>@1?U)vpc-By;eb4 zvk1nn|F1~ZxzmZ%`T7jFhL@RN$}ZZE8jx+jJ-$AW(1|oltoL4)wA-wN_doxrRr$h> z-3jMn0t6&84I`{zoFy`660l)^Pu+X_Ev z>Gh#!YSSynau&M-)PHRhH=-B8K9Nc-@eS)Mm7&CHO70@f6YfuyynJT=_s{pCMdr3A z*Ky?~+o}i4&C7=8rR9_zugAM5TsIHHIHa0Joy~tz@#QIc)3Hkh*c58F{1^}}lFnVn&ic@;O z;YV`xs|GGEhxH*!Mwnk>idV?b8Vb4k>Ych1`i?K}(lxQ&@mz4E!KFifYUej*cAp6< zTfdLlTduQJz4XMGXL8#vg>hMfS%Vm4i>Ia+lJW3- z`n=OhNCsUn>t2t$k>Okj%+*+?)RU;pcZk?@>Ka~fbJDu=3>A19djwFX^1pKXySW7rpP$Jto_~G2b5l z^;6!zzT(CNz1!z3D-yok*wInIONQJ5A zrj6rX1zP%qhBg0WKhU=X8t@7`fq6+~JkL40ds^Q!RiRc_PuA^wDrnMFnr(~PCPdwu zNU&3XYEmccI!%@3AW5*Wcv?iY6|k68-PgpS>8DU-@`+T51e$P~4hQUr7tr4r$|ZPe z2A}J*jT;}%{@oXG%FaiAz$XJ0Jl*7wPs(@_S(aP8I1S41@jdt>W`xS9!RuI`EXrd^ zsunH;8^C4gLCD@hku@$Tiio}1L=o1Y9F;b894cyx?_8W7Co_g@g`pdk89)j7DF?tI z=Q2BdIv5&NhaGkt}R@>K_$bVT--k? zWFbpEdWL{5fkz4`575Lc18jUncgOufbt3ZtYi?%oo<=#}ip#29JluaO>}qi{8|~;DG-`gP0-)$=b!2T{sjZ(DV#B$V-)-g&j7n<)K2@JKzRp(E zSXR;trC}i<6fiMOSl$kAtxl+|(QjKjH7p)pBX!`Od23{ zN}0u2*~q%|jq1CL*BigH6ICG&$K5NXowpK#ME1F8XiAB?nhXg>ccN5Um+y=^zs=hz zc0+{sh(MdIMU6IG#U7+Itie>T(Y9^HOGsH60nSz-PK7;OhjNP*fF6j-wjbcnhs9y> z-8ukmBQg{CUz=glcG;qscP)CPF4{Tbd3w;dV@nNpEQk?R#qNc|()?;!o3)}vzm^~C zGgUjz3m#GH+fycAIUFqy+Nyb50gbdIwVHO0bU4N_w-`9|nn9k0_yo;OI~Uf_9RAeB>}I8UdrsP-!m9XMo7KG@ zZZv*Qo`;<=Er8VT&j&i{OEWw@urllT5G4=bjMx~$Tlh_etUD*vOVO%|1XQdc-{F^` zh#vC?oS5e^gs%?E5;}=C_qvdP_IByr)lAt~32?wp5SWHU8bSyRqLqzUByvcBF>D0K zWk=->Z&9l`f_RfPGo@(TL6=V9lYibeY)Wi6j&8OO`GX`d9Lz9g8e3JWb>!Is1ukrw=*vcOxCIldVQVbrsW9%X)5kb4!N2 z80o;0sN&f+LErI1{#~wyeiYY)t*3;s)|5Vb1%4$jH!dF~{DE#fl3fs+j>=bb<*$h! z8XE_+rgZfI2G=35P*U6yXf+N68^u+-&#0rU5^h0-Yyfn1I==BU%9EB z?P0SxvLRx$F%oNj*;?(|(mzN~&ZCHCYrnkY+2T%ShW=a0c@wJb(J}ETyD)1Z4Sf~T zaL&n>0I7Q^2Uyi+PEH2>6zs^~qndtXs^@Z7=0Cn;2Ji07|FdQJQ>D-Lcy>s`G+HI< zUE7d!?rpGv6%zE!yL!;@(-DYPk4U0`o}H4gw3j?K1o5&IIaL%eT_m6V4X1lLSpnnn zlzf586>Q)Ge$*AUn-zxWSr&5=ZN7U2jf7fyp!fmEwmH{-DPWyA>cs}EHr3|m;Vcm= zR}yzEny27xAUd{_@Sf-J&|Q2|929j?ysJklx(GVk<*<}^@k(6;rAR*1OEXO|r85!8 zjMHFd`4vFb2}5+|X{S0pHDk9(?{AR1n~_!joVkREsG{0ZQH0=(pjw*u>PZoY7CUgV2+=v_r7cJnJ zvXBKaNa;p#=j7s8UZF5oSF}q9)rSPV+m&DHlzn4xWy$?YP-DzlAxmoklaqZ|6xGJ? zuo~s97i)wr>9lV-j6YsDA!-BRCWxl2YowL=PzD)7-;{&c&=uH~JI_U{aUs&{2Nn$^ z?NmLpT4kr^zd>1glC?pSZS^Pbp;(UvVC;*LN$kix-WkFQ=#lNoLtjus7JQGCdRss0 zJ}lCwh@e&EGe8Z${g1qdjzsSb>pTiFd@nRp5$T&0o2;ZMK^C54Bm6QEh-9I2=?dY6 zfX(6y@mz_IWrq6m*zPW2*)s5Lo-im0oYw-G;N`wQBCMXS_w^syoq6H^Lgc*)HQh2Q z9IPO(cEpc$i5str{L7$Wdjf9GxyAvLHSTzH@XKkT^%LmSQwB(b<{-{bT>cvFYlP@3 zj2?Op3aaE%?GK$}%=ugUq@!Q4l@#z%4BR-W)7>FjQ&@Ru9G--`vt`oLF#*<-U! z2j4`gJPG=k#7~x>8j0puD8nlbbRLu?#$D0vM(M2|WB)wRKE%+z-*m5zz%djpi6ITS zMVE(m{Sjo@$--I<;?dV6k^VvO)NJSmHXApo?JZd;Tx6)KYP2eZ4AZFza=!xh(MJnh zKgqUJm);;`FzfK&ilOIua}aEr%uj}A~Xh1xhW62 zr~2EnfKs-%uR&MRi6}i0_7dwGB6V(FCeqx(YKJ2}pt&LDAVvhl;k7s9an>UB?h%}m ziWRsgB09MTj>&w6Fy=Uvue{{|XzFL*sTc~RYjvdk1j*-}qKasmPr}aj3-VUfkb0*t z_*Ep~9WxTYO80wSB+8rnE}OnCJ8iOk@wxcnD?BLy-efd1+(ti@+a%4ntj^dt{VYUk zRUmyE>qG$a`QbK4Xzmv|VllTa6^}t0`&=TjSskMRIVWwni2+J20VBz=Efd#o6L04t zZ+oP{u8`t-!Ai}w27da(X^JB(WymMp2;@y|YP74Be=Yyi32&={be|GKqiU2< zcESGTspf=-pYn>*&wcoESkCM?;l|mA@*0&w$y8hQCRI%Q?Jlc!Szy*Qf3X{|J4Db1FYh7%n>S9C%zpa-7xoRJ-1Skgn&4&aN6aH z&}R*eVnf4oqosTcuqnjuIYHL?7tP_*eud&qfX_$fkoQO}t+zC~z+=~0qGIXB_>N|Fuzq%iL z<8s=#L}1-Nu_sKk|MxaEU=POA?s!-~aoO)uLjkkGP+fTu$)H;forL8tsPYmOR7X?- z+-}XSJbFhR_r@zFMt~| zAUw*_=WIx{9js9}k*h7v%Q9?TR+=<_U|%ScKctK?wc#D0dYC0wn`91@?Vk24U)E!P z`ySi3vdo7EHNIZCXQ(uE$u6GncD>e+-lvjeswFiPjv9&g@B!67MHVVtOYPEo^h$Sj zOy$vx(dt8BewXG__K~g)1-ImaR`H`rJ=iFUYt0B2rHLc_nl!dNDLP zOIh!s!lIg1(b-n?xe%F&&ZcKbj~rk*A;5k*=6J+taKWIaTbyQC-9CMMRo%-OrT4O& zEV_tFT<|Qib{Up>qc!GT0{ECH-Z-UGE_WP|>|-1HtK0`eH!fc#^S>1Xd7D<)00aW1(kGD*u84_i=RszZP_++ z7@4+51sz$MtCc%fCdUHxgU^)+zg-_^B0Aym(ej)5 z@02TbJj{i_imR8kYCh&F*!m@^OcJkTojDQ8FP?j4v-~yhc|n5AqLhBY4GUc;CGoy< z-8LwRVd(7KEd+~!rL=Cs{K8M3x`O>HJh?YY3u@L}0NX$Aw-nqv3I4|#+N*{7O@ion zQ8Sh|BBOS<%|M43ZUwyNQ<`jHYr?_b)%^$8u*^7H$=C7#Ueor!Jp7Mw1c*T=UrYYC z=ZO#fv03ic$jPIAN4|GqFMSD3PaZ48qYi~R>v|u4yD5Dj2Z+BO!y65{W%{V94*g^g z_LkH>{kMG5CRue;MdClQNFESZ3pdgd@AwC@)fsd0f?IuG_G}5{4W9MJK#6}k?dAQ= zturgW{|oebme%VX*tPP(Zy+vDdWtZjk6X~c{n{;E+h~RJuZ;ntMhlao<<4s`DoghN zyhE<^#yJgYePzmZ|4R7lp0r%@*_+bG|Fz>%(={sR_f5~93A=!W80*ejevpq01gTrP z3`!PMANRpuH@=-#)(r){SqqM=^Lx~<=4jcMA<@3YfB9ijj4B>cNgl4N6nTZ(9ghIX37u!i>Mokg(BYum#Om`mBxnF zY#`gb*{7|rm$hV$h+nHuO4)X*4~#{3mFeX~+W5Ov+lTc?ajXq|I0rP7?FF3+r@KAX zoMV`$Z=YQVPP6C^w?^NIFByz}6`$>cyI4FlD<-p@75^k!JBqs*T}*W|%R%*cv@q(=YXhPb zIYCbH4q?JV3>#&2AyRR_==&R;|3|FW(-vLc4XP~%G-(87{n{%}S5}Wigp3nT2}fX6I1)=;UCb9k|_=lWpqpHWBk>ZAXRk_=KLY<4fC0i@j+wmP?eOOO}fs7uo~n z7+13TXD=-oi>Id~Tlb%Knb-Coo1dJx?fE8fq&n{LE=wz;FVJv9E(-E-!^>qP$~{O{ z^UGg5eAUJZuXQRN7UlY0rJdUmNIgbf?H;d4_#FRz%Dqt>#5sfC0SO&^N`IV)BEXVS zy=|T2#|+UOBISRS16noqjdCx5VTmu>w4M4Mqij6l4uG`7EE|AiC6!?}zllb{%%JML zphc4Q?S#zf-&y$GdAvE4B$h`D}Ukk>l?q=Bf@ zWtU^WAk-x3W+OAUk$jU_Ta<2pN&&O|6-uFD8zE+P*T>;5HpFQ|t%AaT4>!!gX zC=POO4s_+1{R??-u_(WVk;&9v$3toj2MYBXgodh!*-t(u*qhBlX%pe^tzorK; zM6GtSJ=<}DQdE^*2t04S{J3{BaXTp&HZ7ag1_Z5ItUO_`?&RkiD1J@wXXg z--)t$G(&-lyK_r*f+r?3;0@M||D-%k(b9O*2~)>?QB&$Y8rViZ@~d+m^0-n_Y6YeT zd+vPwe+%^A2VzwAo4#?v?`hj)J0Q=#Spw4zI+1W*QHt_n0fxLwv>201UDNJ6w1VYo z{n#vC9>ss8?z%i4$et7_9`R}4(Yi7e20sHPnx1iQa7gkZyLDUSwJ@XAX(D9W4f((j zs3t1LD_a#{sZmmI=UB4-cu=`8Slv?Bz*+x^1*-mh0VC|r_qB4bmjyJdOmuiQ7Kh_@WGvt1y4p*SLzv2>lw*D(J`^DFo9GI<3) zH7MuPjrF1wGTEiZs~{(6%_-$2f6Ss~1CbK6ZJMdz7veTj8F+^Yll^z%V!Wp=rbFK3 zZW0oZZfXAqg{d%+j=ray%x#Ttka;fVpuf$?`vVnu=G`%n?an{t@g+;Yt>Z`fLcf%W z!S;eaJFO0KijP0qP`vr<>2}n~lCFMDpO9s>Cow0jB+g3%^9A3Dgaxm=D5DRBW`UIo z$N_djir(2DgRk)QVK?&(oD!0j{E5+HOLadUkoI@R(dsHr_P*_)r~!kvjjc+D0B>z{ zObOD1pjTi)ZgSGe_b;%utN(23c6y1Dqf?f3L?OQ})~M+c1YS>DW7zEfEf^aU9Qb97 zG7pF#FPw{_js(aQon2C!2visVKPJbjQP$+MZ`BmleT#uJaz7dszyBRlTyN^6DUCt+SdkprK}X$;L{JL-+w22}O)?WVnOgGqxS-X= zopfO)(jPhG4Bq|TVKhQ1_*l3XS;|`IjQ3C{@>rX>>0g?JOBALUxpf0TXMw0HZmdy?G`3uKoZaAro7iYJ!5G5 zZ(#G=cKP!gA~j;cm`CE`)EOLETd~Hh2y<7;l8=;$J=l~V*4Q3Izw&&v=G@?Md2n#r zSKr_b8-}9yCiH4)+!9v#eTe_|^wWpSuLX>}a)DJ}!=62Ra<4tT#0@y@hmFqewU9K2 z8Sr6FI-e)5iWRHgxheJg2dQuWKEM2SevGK`=-%r~g^s~v-j{zbc-|o{hhc=Gw8KON z8XpHut9H2Yw&HP@JzwOogYbWP1m}FTz@SzKJfhXE9klEB)9E?vb7L1!(+bR^NqGn% zllkA^!j#?TZXI_WP+>aJ25ljOS&Pxm-35L2XXV_wMzTjAK}{sJ)S@Z9Bnut5GpX>F z0o9>Q`RLm{l7$_x=3o5T(Q=hPx-2-som%G1H^qD2ACo&lDilf&RUDY7`6oPQ^G41* z;tKUJtv}nOt4>7Y9PG?ugcW5k3SGB=aEinM=8S}-d$hC;*0$D%9I7NKHQ)ya0wnw? zbaIH2Ra0xscQ9HtM<|qT$COeB86AmIE?B0KHuJ0jQ%Sq`ZUHy&Mag|Cni$f!I{=%A z<{I+3dm)Ubx8Pv$4q}DMr48wMs>w?iy?^($EPvXtE)ME_W9y~GT5c8G`rnfyt^6Bm zzl;nD>}ZSj|3LVb`XEM;z^lIyoro=g*2%h*K`vNXdf)jy)u>?-q$6)yB7ax+lbqH_ ze%wLW?NFG@um5ffFQH1DoU|cjXPJLDbN1=fX+8?053)xjI)Lp-wd%Iz^=mqU!WEpo7Qd`D1y8!>ysTy~s=*%RD z(s}e)GlP>Rl~b03VdOlmldBrYvogJ>M4<;mln|IZ=jAoKUCJUlg%%_U(q6YkYis!= z=pajU9f5icLhI|G9+PYzB%QpU%CgM3gYE~bwGFm>X)~m-o_>KDBo_WtT;fk|O^%kB zS}Td7mu?IWogyn+@Ef11ftbg~gw2#YVC$ zk>ZMpj04N$gIdG4M!cj{7UL<1ZZ}x>uOc2gPR>wrBLO}QF+#fr=N38nnoPX>VZIms z!^OAYOM`Bn?I0>s$7v^wlx>> zCa00E;-t^_+eggGHx*P0TL4BUZ!RdZ{sdZOv!W9LkvM=JNkTC@i;TGrmbf0zYaL?L z9}`!{Mo_$95(7Zt0YX5vr}~No;?z%3~|DFqmyg(kbVHqs#P2bh1)Qf2j|`(_L(+i! zL0KdUYvKuE;(-PsSpyKdPEe!7I(ig$s%3){$e1n#o=0Nzr_F=xQW>{4*G=l&rhx&1K*y4-R2NG^;hmuJ=U+~%Z??wB&&Vqb8SG=h zqXUMJw9fZU8t@vI9=b+Ma?Z{?L?dmX^#T~t^gwzUgs~JqI@-EVf$Cs+mf85zBfSU; z_)avyF9bvpG8H(StDe~jA%$#w(e$T*^PPZ)Vn+-*0S8A>#lEE->Yj^{Gk0e!R6;Cr znN8`<8m0x=0sU1)+1OCVZXoe41~IKspB9&SXV5MjB&sn*If{T*)DaQ|VEkU)oR9Ah z$TXi69`!a~Ic7iUWlpBrk_Om*#*a&pznTO6-uE3zqN zJxW<#O^7RYZ_p}2-}>e`h-LbiS;EI1<1suLWP)$*ub z;rA7Yz_yH8r&ZXbF8icB)4selt)eFzKG0RNTFwo0zy}S0Edz2O7$#(o^-g~4=#x4W zm348s(o&46m7}T7nTaUKGC%0}@qu-Gd6;L{4!MUZ+(-C@V;l?g3~ESE;ZeFU#5~S{%VtOWK4Czv(QePd-hYo8OhHa zFHGqD!aG)2(9iw`o`mG+NI~`ZY`P9JhI+5~B6uxq9Kq+{1y2G8z(!hZR}C*Et#So% zEoXP}>d8vdcLoU`2B!c>((ok5`y?|q!@b(86CAbYV8}nTgaC5~7;$@N46&Ig)#L8A z61qa*=~!7qB&bfmB7E38(u(GgtzNv3yJNKJt!myPA}Obkj?ntRy8DBr;|D-c+KR6!9xkdJr_FizY+2;AM*b^VHegtRS28{GXH^E< z93n}I1{LUDj|ySNebFn|eUKvnc2Ln4_zK#jo%j{^9TGq8r<9XGI{c@jyp=6{7$}9U=!n9We+j(X=IGVRrwg7a#m9ulKYl5(Sx7d9(bc-=l1Yx`81EDb}9fyrm_y&0$o~~&`l??NMBuw`KXO% zsV98&Q+=>13{PiQuf_cDBEyfA>F*1mdC28FQJGGbd)E(+fB}UCVm1!>;)MvgLczO! zmggjRda}{VirLm-d2M8rCA^cTuoV~Zq=iCxq$;zHQ290R?EFIT5>6(ZnzW9gyXV~y zVFd4Y&|Z)A-tQZ5C4QRRYdRkhQj-rqS+R9=4RzQsBr3SicAF|5h%NW|-hFG{y|_*z zNynNtXAwdt?a}g@`Vj*=lZ{tvZib#CST)V^H5c?JpL+_g#hmlsR~NTTRX~c@@4jUk z+RC5L4xz$JK6*VrlUDj!ykiKd_8%4u%T{+52Iz>jl7C!BDQM^@IO%j&2F|l<5^bG> z3iicxbaoUooq zbUjIXmor!}bT?b-S=O=gVDX}6)n`||Tfba?6d)dlWkg};%CKNg7t?vZWNbn`V0rw> z52>@?jBw%YF)!5qoy>1y-_zd%du1~nCYj`>Op9n{^d3+#B-1&*NKP^9PfabC0(BAh zubsMlt4G}|X{nSqU_T0dG(rM_F=tu;oM1gGLr1m5Yh^WBPVaoU^rejPU+3xl1jo<$ zJyUl#B9YAyj2LFA)IGxI-$p=~07HZ}UOQU}y-?W|Oa`(IoC4 zJUy9%pjLmTeQZ`e5!HnwFUu+(W;H#sIO%u9IQ(WJ-0pGe{31@~TyqBckMAizx$7Ag z#w70lb{oZQWv!gJq2y^#tSJ2Xn*skHj~X6%PM)}50L#Fj=Xoa>J}&gY#;wQ3@OUqr z&Puz+eZ*>;n#5_)jk}1tCjMa3xX&HKCx^?N!Z33E$<$W|a zJhls*x6(mc2pF-g3C-<6yC*`6CdZT;5F$V9i0-HLfjHCC0uARWzhd`$rS$!<(2s8| z!(6rv8#3%by=5nY+!VXm&%?|8Pad$+G)lnz zbx~PLbIV}Vr6d%jJI(cChANsC3XIJ+UbttvrM}3G69pxgV6*!hxh&uo5kxhlZsr;{ ztN}KiY)uz(vEzbE@IxuXNz(QYG?ymz*F$RDb=Ef~!$3BlqoHPqePkw6mx^SM>p!UU z5*g;>e?SgJll*l{Qt;$gI!_W~IQl(Mb1mIf>d4CJHv$PS(zK6n3DzX7R}`az$ehE@ zB_>Tk3oGSs7*R5cofJ#X@y4tXbc7d4yO~u)GPAS{45J^QMcsBY?4?OXj#hpt@vZ9*m(t&mew>T&TY1Ta8&Ga#8C`A`vfu-x(AA3r zs)eIh-BrKj()v|X{X^~T8@;V@&W%ga{m5wdngcPLzv5~ZGY=21^nuggKqLbB9i9$> zuKmHqA2H{s5-u{LMll!Kf9@%<@Q2U-c^WlfCy{vR;lAn!4D*+R=O>G{kZzXIiul8c zw4K5_7IYA&;I3ZGvsJ}a9AHCX0<~hbzCQ`na_lmvLNUwRAvMN+6_bq6RSEdkc#mDb zQ{*b5gfbD|aQv+ZH@6Eiy5os#aLMj)lFO<^HG`0E^8peLTK|A)ORlT6)&(O5=K|-$e84dC;9qPeS+u{BnugtTc<;y$;=b+TU%V%PR(6C=%Wqm zPa~2qLYexaP9JG9N;l7o{Dki{6BFHmT%tBu^jCP;y|TzO9=$qhh7o+-lD@WVuw86y zKCV=Z$T9uo%O}?@#m=r$5%wm;NyalXwS5&=5o*o%bQSzJI;++DRB+(AIeT4If6g=5 zBEydZ0=56xF8Vxc)7u@sSelPz;6HO#F~mYhL}jFsdTg#+)(G&}O9H4{c!2Zxa(oo{ z*61OhIDU{)>e$U3C1L@R#>%ETLV=AwRU&x%!VRAT`FtmKM4DCz)~g=@4vF!4=k990 zPs4@!U{0iV1 zI!o`KHqks5SdbcSrCD|E+zDIwpGhekU3)^pm16j_4~d03O%!R{+{OgnE3gdZjUhNcI?FZW8T6oNn81i6Sh_w8F zy3l(hI&4lJY88I|@aDtkW>n8gu9Is({RUgRfM0z1C(6Ms)lKfgCl4=qbfh~D5rZjg zTvBob1Q^saJKvN8-qK-xBeNKeDJO31K>8Ijjuwt*-EwZ%U_>(x6@>uZR7WzuPdO(C zmFDbb^j7NG?Wj+W5IihqOyWZvo961kg=IouY+@F?vM?)Y(?I8I8pp3qE4vw6rR4~w!-F^^8Vp672n*(>nZMqMdxj=8^_ZRO1bs0hG>bMZij~B$9Ggsf0k>c0Z;b+ zAf0pa`m-?a>6gu6z!y)5*Qf2&x{WFJ9c6pzG7`;*Nh=;x(LaX4gzO zrl+X&r~gFLbI5|TKjPRGYJDq!&~Z|b)^DLzpj*ZTjiDa{{p>Pju7+k_ytIJT4blS< zA<`Y+y*nxkLsdB$Gaeb;W0SxxEPQH)^63_Ws7+D3(Ocp2Uu4Z11{)l07NFL)kQ2n? z0BrR4Lzhak)q>P$GI5jRe|v>&Dv@d%x*;FQ-pHIZB}1xA&z$-82o!;P3AAxPm99C$ zvMk8C>EIKUc-J!McQ0B(=|ZX9`NjJQJir0ENK(7yM#mH3yR;*r0ig;u+T%sOf4pB; zKh*!YPqnM7J)x@3>Tx9M=<8^b3n#FoI=o@HswB8A$Cw_FT;j|{i05Fu%UZet5xfnh zd`RxTa$&CTj>j!D< zk4-`O-4x}9+*6c=RgXBkihK48P#1BcCt`S(SR*38Cx1AO)sfXhn*enNeLT+x~L|PJSF^g)%iP>CKq1 zXt_wX-&$C|BYo0TL;np~RCo9Xwc-A{OlM3$RN95Lt zmxZhC0u6T(0OR+@^kk(twHb2Kktc8J_Oe!U10<=VH)KoP3`TWTy|+m>(_aO9lLbdcBrR`~37GX6bZqmRkmsrF1~#B0lGdaf1#ZW{~23g~DGD zvlO)=q+_8Hng0rsYX>;y;}7v*KaQR~04^Ts@(?pFsPJc6Q**U1uIy(oAF{6msK-B( zhLF~tP&r>^l{!Ucn2`hIp-w$vbQ0kHjSX*`A+?L^p+>OOs@h(!=UsV5eRJ`_5{geb z*DRQR(vDdn(@3{WQ|yRkq9+A&Oy2c z$>a`{Ou74z7KU&7Qeb7fbHs3Bk`aQIEfI3Q2OkcjDX6@ z6wPKD)n^EJu91}-de$cTjMrN`#vCf!`@P#_Az8We`XeZeCOQa=!;3?l%gycTcfLy)b}cp( zW;J@!?U%=}7Ibqr2@C`V(yUg!j`<`MSmcAHr z__0{HR!J@9_?f~Ix|=}9)(D_p>Oe*L>}%WAUr%Hj223=ojwW4wiFqYDqq*)rE?*mQ zGbrdJD`tk(EJR&JrxoDS$Hq|@I?8BNOLl@=l5^{QzOMU=l3~$Yd`_@VT5^}vj>_BYJvrBxD%&-q)a8f!Zm1E_!ty`d>a#|f5BHcxMvgy1YNNArB1jtHPk{-v z22+SHF}i}L>KKt29M79Wh@BPtF}ndo(|Ov3zLSn=pq)3X`0!1QqN$@*ocB{Fk6uOn zmZAE`tWpIar!!oY)n1UA;?{ZLG4$)!#SGR}$f;{Gjxl0NbvSl$%E}zxmrWJ7tqfJ5 zXIS$9zEj}s6=KKALyM7zuFIp^%ZI9felERr#cd_4sqWmT5ar6*zz8HbK<|?Flqrr4 z;Y9Jq-a?PVhf>KEWEcjV=Vnwt96b7{QUXCC#GMO9Y!sV{Y5kU=bYbSfZ@-iZjEQjU z%tf9A2GfA>nY+~_+&3E|=p*w^ggZK*=He8b-hHpmiS#01=r(lMjAbXrybujh)Ssau z?1&sJBErpC;of=$6+(qX-J>Y@${Mv}97zPp(r@?VUsGjrukxWF@rsvHD)t82%MS~*0NRP_2>&c! z%{F~$FW0%noJA)MtOG*HxLBDe2nrvYsYOj5>Xd$3cX7@2oZAB-=x8A-I z#LJ35w-2axx@`N}aNco?xRJM!-SU$Zlq-{uWhcwNJwn%0vtKNg|A6;17^r&V>I1r^ z`*``nA(EyO0!b7+l_dRG{+$9)M2guix@2caSQkp-9Oxa{Rpz?@4H5y49XT-E?u2LJ z?3#AI=l=D}T_3}!*>&?3X`{B3GYTLHx|3TmV1}xk_itIhF`dX5v<#~f zOQjP$;jI+WNmTg3;5!x)&POdu?>Z5=8OQA-|32*Y%i}EkIS3xGM%H@BS{OI^^9Jp6VF%2p_h+~iiK}4PoGVj^Q!Py(A5oh zD_|p>#HtF}sP-|-J;mOu#G~;9sqd2Cf-uZ#c80VaYXiIfb*j@VTpT4{%&ogsZ zF(oh)i&Fp=@K~a$qZiQwnXzl9cERSYr7+16k)X9X!P0CqLy7n^QntOWuU(#yu?Z^2 z$mvej0 ztR3$Flc%k>w~l)Wbz~cNxlhIXP9?kRns|Hu=xDm`LtjPH_us;N1@Qo-aFvU^rK?}( z&9xW8{_s{07}=c$iiJ%(sroj$%@%tUe^!=QvO{<^4+40q34TP7Re8eq3jz;Szf*k* zC$p3quQBX>ALXxYbm)tf={7sVaYV{r#@*Des6U28nx7SHJ>6$}Ic5-Kqo&EvaHG0&Y;Xgvm&KX#f^FUVuWghhKcFec9+Ci*v6e*)uJi`0D zydkTv^DpeO#H(iw`fe`SS4%SROKhuLDo>`( zD?jj4?8*KMRc1E8dX{k)u-P!njO8|2H*INx^4y=yTPt@ez-AzBCqkf=3p~C8tSE|% zcM(%ASYjqr#Md3Z0sV%<9#@M?k-NbRa@%6a5E*gTp)jUo`hSWY|GRirW%#!R zmsa5EGFGSGakHeQllJemJinBt`%ZWS@s=%fckju0Kt$H^;EwE-R{!Vi_b^p8I+pL- zBybPb-VY- z{WdZEREi>xZ2hasG(*y_Ron(gs6!CpAq*Ifp)O=7b~?Zzlfa&_&p&r7e`kvigs4?w z+zUXrov9;T1f%Hj#vIc9#DGu76dzv8M)<#dzSwO%gvkank(3;oKXh~r_}1t@8K+lXg6M zRx6W3mr`6H=y=s!pfSAL`CjeJGRB}z#0pjjb>2o~`vna}zDmCL$j=3F&YStF^M+qm zyP%dkT^Hw$clcp7qg+gT*0K?6W_+W_ymPrSBcfIjKBRjz_TH=tnu3@K4U}~r~T5u`I!5Zyl;nH)&oi@#T_cTdLhS)~XD@3%B z_1Nx0Q*h;10TxgkQ97lorK?)>swUH`AY4YbdNZpgch{#zr*KW4{D{oMh9VsTzJiYs zf~P;K(}-G3-uXoFLQizZR9h3G2$H27wqZy2^q>@T=%;N%$Nk5)@tqxS_Ig`8CX!%Q)9ISd<|$akMvO~%H^5?k{rhec zf~B?Z+?T)?Wcg2JrPcFHbJZF-Wn)87O`R2iL^P8;M|xGJBp?B9oG1QjWTO+I7o6f+aD|h6myzbzv^He7Qeenuxf?Oq zGBh-9y~)BnMc(PNMq+sg`9w-q*}~3e!8v2YjJoAHC1PXByJb%|1u!ry8q&i)Iuw7~ z4fk*}D>oRYucx9j=SFwW!EHus9lQJ~`*S|Yi&27Yzpyv{6nAvlOYXtp3Lcsty)V(z zo)2)%cPmThw1!oc!&VOOGu!wld+~Kcp^?V#c&8WBo&Px)jd(~6Os6}U+@D)tx&3B` zZTREPngQL=`zGV<)RZv!vHvW_{@@MiRNE{2+QMrN5%Jyce>ydcXzPqr z+|;Bw!XHvc%`bIHr#Lvk4M@(o|0H4P{zlcHv@spkp62(M7ssXulG;Si!)2t0$vCnc zjx|wqE3MA%X3VHfM?_A-Mp(dWfpXuR1N6##IG$!BPj3=Pg3{WrGS9pbciVNLg_(6B@}T*LfE+4OQc*H#K~)Z5@)Y-=J3c85q7JP zyd8Jy@DFdJatiat%q^NlZJjCilT#JWIKa7i1~V82Q-HJ?R*B|(L`5YH+;QXa3~8MS zGnJkurfhH-$E2dxZUFPhBx-ZT%u|dn;^8kV#=8dEMzl5cJ7?0G!&dJ=+YgbYEcSYo zA}%=@$1h}=`AimBbNyhEY479TyD$|~YFH5#G{rdnm{|g$Czy&s7$mZcvmB}n1$0@D zX5{5zZ?)(&dGt&AlX(U!M>)+kwgGqY$2RrwQz{K)bl^YuZ_p2UIQ_hto-c=Pw#4c@ zm_f%=B%s@cQWO-OjoK}{e$~9U&fihqm`zRy@nd@UZ904EEKC0iJD5j@s%;2o-Sd(h zr?8+yqa*@MJv567*)o5g4lNESE<2~ap~(qw@#Zio$Md$->(|QGGL)shslpXGhD&DC zK8@dSPRj9#V``cXfINJ{;p_Lp$y*IsO#xqZ?_|_WMrT22yhX<&i)_8Scj_255 z!jllUlA;KKZ7A5>Vu735)_L5}?WE!9egI-$=17VYf${EQOw4B9>@5!c4tNi~~`Vz2zm6?EcayAQoGSoP*+ zv|55i^!TY%l#|;maihh^NGUIn2TZy?K56pZj?BVYL2W*NiV6YNy@ToW z*wA?AQ7fCrBBw77D^V?P@9gs^4(laPa36Nnb^hFF29}!g_#QHz)HO?#SMSzPFN$zPwbT$ zOTU!CbcR}!DWv;8NU6kLhq2p3fM=>MWqr_BF>b4jO3HRaXpDQ%CG?PpGY zTuKjPCRAbKsn4dmxt9EwAa_upe3E*bP@&G1MT-byS*Ra_MGy@Q&m^2wT~#F-0o1fH zwR+HdiOGDfLkeTxNJ96*7BHklh`v6luk(m6NpumhRQ{=j+FvS&PD*I6yXv^0W$^6o zHb%`}Gtl=*8V6{%qUx!*bXih&CPpJU*01UnqH~UD+9-lp@HTw=Vyn-pcex2s|CL?8 zxy@5v;t$-6H7hAh=ob>2b6w)%e6Y+Qj|;H(k^c?7F_P~IFxUTIUyZ;A-;Uj_L2TDZ zXzsuH8Q8H|eO%yttGFWVf&wjuOXI!e%`QhBet4Z`;W=VZ=eLCYJ}b z*tf-d`ki{HnK+D7 zKuCNFLsx#o0F!CvVzkJi_pzMw>qW0abNaarOXYg0*-@AA%N)#FHWWKq(8sGygmXGG^+FqAk`@}K2xU(>@drIf0cJmX(HD* zZ&RTIxh9_vyDzSksI{(CtK)+NwTN9GY}D__FvXa9V=^65-?OqD!rR1Dyf%O-`}FEX zG3CV#;NuWQE*|vXm};o#+k9?7`8a9j=$O%qUnDnwLi{AY=IwI03_L3Iemy&jHDTp? z-{-~tC5BRp1i^%rtckLg-F+E56KI=*Z=3%E)1}HESDx1e`DPw(YYoSfo!debBDH~V zaWlZK0V@=IwT{Ps6P-S)3JgU;*z8o8%I>rpQ2X{|xVh?E)>4)08P?@X0UXt zWh~x=#YKjCD!E7V3j*gps&2+qdN99pA|Bs)4f|EI^t7cfbn4?wXc}DN(oC%h_5F=q z!comfzOkcbfdYV@vLlxHuPJ<{_?TBrfHG)bQIs8mJWE?-z2d z!@;bh#hWB|W%{!!PdqoN9$HHG7@UO+iVr{EvCO`$Z$eU&mJX12K;1;6g$_^;qzu?x z=0LEyctGM2N(;oegPSL?ZnUNd#L&da4DBb7`g%X`rpHA5{AjQ&L$TChYrf4oo%r5m zECwt~9s_H-)mz8AS;{t0Lc*>2M5ke`YiAt4av#8GqnFgfA6V%*?>WSB-CmMLm6bO! zN)0Bb7KHKQHzQ5Bi6Yg?%~^H0+fP=(^LX{A5=w(#3Q`hf*1}cN_aq&+q%VnUDYX@6 zDMG*8LNDi~5MR=Z+T@ruGNsxIzvz3oS5!M)gRxEhH|Q(t`!2G{Qdh!r4QCiKhd$m= zKQD9WwnAc3+RJ&}W6TdlpJj(e$I6rNm{)^%7uAqf`Hzg$JEO|m*~95h;$bni6am!0b039Pk~@A=^yJ3Q_2E}dtIoHWLW=_(8O&jyWy2(id8C+2w{yi zHPrG>qa~iGdeQx=^vkhSNH3x7*H=9iV^JZNo>h5%zr0`{NJ|FPn-7btq|?Pm(I=08 z5bK(Ba>`Z$(zr@MtCvx0cO2!;(e$JvocYrZ{I~NiU~$$#{zZR1lM7cKu_i&@Qz=Mo zmZ@Z|7N}O`KXJviQ3zL9khF(9Oir@h(wRFr_51JCxB?a7NL0WU#MG_bDO`_OZ=J=0 zZt%>F8!XQ_4q=Qhg+}4)v`veyV*$6R>x@^h%znns9<{+qs_Sd_w}6iTsczrY_=x=V z*!=AAKiVk&bK>IH&ks&I28)4ZzShd;i(k3ZZFp+NOVFdyO+REY>;1A1xa~XSRwKi8 zu(+0~CZ#vsCXR7)`wA#MA;s~+y4iI!!0yw$+GuJdybR1+r5dk}bbty+qQ?x-6Lsbt z~0m6R+ns=G-#g#C3oiVv3*JMN7Xb z_6T=M6zv-^uNUdc(R5rMUmzh0h{XMEjsNMq`Y)5n$+Ar`r!Z?kWu()sA;)S2R(314 zw{zXTxA@$kBYqkb@{l^XP@T`?gpd)S8xrxDq~0nVMmJdUL`uK;Q8KLb0vL%GAj4x} z{@Rn&c76S*hVqt^{b-0xV@z7Mp-Js)6T;oV{LO$(#F?m^!+FsEqv+fpne6{R&TQJo z#B6Lx!!~E;OsQ;+V;F{sv^gI$hYB5TX3l3uPSr4{qMQ;^F=ru%6gmwh^{H+;s=NF4 z_5BmBAFlWHzFx2A^YM6^lYX|3WOe5eGc)@8z&m@5I~gBE2jbNI@2u%N3ZYXszHVkg z5;tvcem}h-z}(?v7pW#T@mw^zk7k?N|%(v)pr%wOA*szX5WufTKPoH+PkrmG=Ev^k)Q zdIk`F9IO#!rjZh0bC{^K>ZtzfbJbRn&KuRLl6SfB+VD0wdUiMOI{-~FOVAeay@%Xx z+^@Y{NjfPH>z1Ge!C^T={Helo`LUoWE2E&lQAMfe>+Rt!BIiN;NJl1aZtb+FartNZ zy&Ta){VMjj)KDHnULYEpCnE26P-j7(L3LW`_g=x5rz`I$)a(&Ks{8Uh6$QgJa3=$8 z`evU2CwA9v>s$cJa{6nCMnqAR-T~l1HxNp*O7<9ZD!~*D0;@*xVbkS^WPx-2rX_Ga z>pGa7_8}m}G$&_l>_0Ws35f=Zigd;&M_vQdPqu)e8qwO2#@n@NO|k0EJt6T%X`t3N zWAoRT&F0`6(1qHgGr-W8-J&UAD2^z%33PQNNy2ks`?zF^$g71ESVS7bM3DigRECpCJCE!v9WOo_JjFO7qcXGf#D|S=+BcxP|p@K5T|BU*n=-2OyZRA?kZ+?j!kR~!n_j#__8f${B94c#0l!~W?xZtn-g;zA?e?SS zkz1QN0VgATO?u@rxkM$e{({HJs<8k^Bv4)oM~jl@&*@iqb3$ZW zUE{fe*+J)3KzzHC4TQYD@eJZb!XHu zPifIG$>m(V6Kb{=!D#FqZJu)wD?1t}>ic!h#@%eb_BCtWzej4yEwHIambQ|2W*%Ft z#dg`W`QMZWh}|1=cFp3c6*#b#dvcG2=dAT85Nr<@SyO{2Y>P}cI^Od(0DAuf`b$)xwPAd7`ESq*>DY>C!C#ZXJ#Bf;I4mxm| zgs!PNRP_ zp(0}&g`{)Uv8iSWIdwKc&OaYt|F==d9GXxp|teNPfU3o5&)3inHo;VT3 zw6dFRF3K@)0|ndFo_LiT60}$QA1f*J`rnnGrlOGtoX=5RdZbE(qpGF?k_)dr-?|i} zI(HH<*^}mQdFT1gBH&@|k(G}})y7c$L)SXY96v7{ZUmg$(ld~TR$k7A{VmXUsg+q~ z4LzneSHH~HB`WIFHmN9SpM4ASxI$<=72i<-H;MseN!w)zqW-X$nj6oLIlQH-v9G<6 z>Fo!qZa8q;?2kD8)t`B9YFI8$T%LEn-2u~aWytdxX0A#&e&v(WZR;z|^?U*8Y0P2y z^0hTjhJxR7uz4!5Vh#M`zDP%y4Rz~u&bkpI)%Sz#u}u$~lk2CCcf+<*8A;;uHR!)* zu(uUD73`1BoM&&e$b7Qd%MASpt+UgpMG{Mw_3)%5p?D{tfND=wC`6MnD@2((Q{G_?!>CJ2dzr(lNP@@x$)yOSO zdD8M2R@0AMV{xj>ZnDe7ZqU=ssR31`txCb^m49+HH4f_}+kJJAxF6VL7`f=h{Hlp) zDo`1&i|)qh)E9fA+CCY}IZfyc9e=6dR6qC4zl`UxK3@;#9 zAE`vJ&&KCd-VeRKdZG~_n`Jo4Q@fgMXu>Hz7Jadltq@M>ltgH@r>?=Lix@U=h=Iys z5TCFkhnsVAhh74s)3UJ;3w3ugYUT}9@nuREMDwMvbJDnv-=2XziWariai*n8=#61T zUEt1OyVs@mo-4phB(zw8fqxZ9%G{B-M$vcDwb(4@H*<=*z2$Fp@ zp?=zII3aN6tZI_1hJ%hp=p(0BiGjAshD>8gx5aH^XE-3g@(TC0FixI3O9>n?Jn|jq zv}X~?Z_kB0Qt#wKTM`3{n35*=u4QKE|e&UQtJ$>h9LJabPv*LN%KFaCaH!z;i z#iI468s2_x6gI?AwGue&{9{7rCV@PY2ZqnsrMc>v-sRY;}?`zbub*M!xBf5A( z{D^L6iYooO(%Hb=lZ$s^3&?&4)%fl6_uqAlq1*&EI^S@_9REveRU|z-N?OmJ37=MJ z1Mm3rE&S!!MKPDA$%6L{!qc0eQM_G>Aq)}rCHZOT`L>|_gk4R%vYjd9=+$fbXMqd$ z7Y+T+E@e)6YgjM21r?gQ}GLS9%2v5y|rW?5YsFByGm#h4sP_g?UL+5e}VG^z0 zEb|m{w}{7vm&<+cyoNvIbjaqcCP%`Yr&CIz&35kOVX5>$C&hY1{eyr;;~y14uYCf$g&O4kuCn5+5NyibaDPp3yKd~=v(?QM9|qG<_hb%P z4mD*;4LL~WuSrVirO8HNL>12sT?tMRpnIi9%CQsLrs$6vc96wJJ{DJhagyCC%)a$s zDv=UB>C8siO>^92w5aO}4GfZ|qssMTXE#bqlunTy-4431)*-S#fGHJ(W-GT6XtG9z z;q1J+J1WlczJs8MN7eGOjHQremJBoA-}l?*&@>6~o7d*cWOv^M#nae2zw0Zkih7g2I$V3{l@9w*KbT{fBSM%^um}YuuUF%#9bH#@myF34+6g5Es*& zVsPQ?!Rv1o!v6c>Q?)SIcuG_^e-Dscb^c`|XAOD=$Oy{9b(fi}&3wB;y7E&WYO!dsXo8LnJV#4nP zg;GWtG`Y4;8Eyb6F}F6Z6U{biX29Ij7ApLIkYynfM;0ev;0Z%oI27^Zimj&?B- zc;p66JL1m7)<-PqZ4Qaso0sOCQGBH!4C|(SQZaj`~w@8CH9@K8bgKauGo*H^}ijKY3z;pE?Lb)Vkc$~)j}Gm5H2 zLu0)_R7>lN5s4Y+qGM%zg{pg?&=ecv0%_Q(W+H@YrOF$l*BvigpYZ)^hm0cv9QZ>r z_gESDS~bb{h^(mhKE6M(OyuTO6{P})(Rp_UQ2e>OCT};>C?HnOHqdJs>;g?S@@$|c z#mu&>lHF0cI9EuW;x^N5;#O%Si?Xq<3BKtdUFP$^POsz=wA;xma?v#E<4MU&7LHqZ zVq@0H%0-*j`O8s2ueMa$tH|eiCof6t@pa_u3Mu|})qyZMb`9BAId>uxW{Ve+6k@Ur0^7^x>apgNqv&U$CJ3J^^q#@5y`ev=~&&uz(T* zkIl3C=j2wqI3naV%sTly^_YFSgrgAL zKNncj4k@8oXqKtbOrhqrmmgaJ3J88!X>Cs%7t)euKkeuPV_cz4q7##N9!q~Ds+F7y zxj3J8aVPlB#*wcXM_&qIqku!09ShqK$wd)+z4$Oab+9J}@hui{O#s&$(x6CdXzv#g zaF-QCP0y~y3g;v$y(uNziIXFL-75m{ghwa8nJ#dVvEL%%$^dtaU{1A3tD#4tu0+Or za{|ASwNpd(t_6feq)KhoOEy}eg>1Ck;;AsJgEgs=HN|>A;w66uD*ow;-UjJ6iJln= z)q7*A4EY9?c%!&pbf(irW}@TJ^$nBD8#oRPf7`7xZZlAsdmhsu3 zz8ti3F$jH2MYix_3)v)eqw@cl81EFRUg@)a7|3lyNMMQdK4j971yKD79N?wYP><^o zljDE-=y}UOBS`Y+RMdsw$0?983|KOj{BF)b%1vh3<1qG|c$vC=X$o?56iSXqP`SXK zVeRQM_>g#7vIfq#4)?m9__7o*GORUXZCTNT9gsC68)-Cb`vp3fvE8#MbHMy2V4|_u zo?pC*=vR>2t%~NuAr42|$otk;HoPzxC0-WcPJY3a^bx-|o=x=x zy-cn6cfrciQ}=DH^5fux>TXar0asR%(TVXbmG&TS=OtrggEk6}ev#fyp;5mbJlY|C zdr=8cArZv_gcm`krD1oA03EDS0ukQ$HBR3?^}>RY5$U)y0~SDoXJ;8;(tP&L*axVa z`&~EnCVz3d+=U2YLl9hJcKfj)Q`jEM{4`0LWQWfNB0YD)Yv#1#aS@NKBHYgx7SzdA z@TIk4<;CV%J!G;-daswcuC}#W>$MwkG0IhgW z=PQO+aiWLxyWu)So{QjUpYc^q1IeZlpeLAQBc9dNmA;xPGujR~EQ1x7IZ3L!+?lRD z#>c+ekoR;e{9tzQUOR1gR2=a9>gf0l+zmmKtAXg_i5+gvl47iTFMWr>QG!XQ(2zbs$ z)zT(!d<{1ABja|Q;p`Xg(IIoTkzw5eVwlSlG@2v0r)mT^_>*I!Y93x|I=%3I`v7~_ zZ!*su;eOxk{TDQqM?z${W@#q)kX5|y(7BZk+rf3rRBg!V1+x%Q&?9$CVV|VBf_PWs z&CbDu5-Kv5%T|wP&l+nVFCQ4WkXB(v+ryLKcfw)b3qbyy=1B65Gt7>&YjQFNnB0yA zyBtZJ@L*>UbUj7fcS?^k72Vo#p5eRbIKFe+j~oj6kYVY;I{gJ(jxODFEuqSx=$h~sh+Dh9eAi0;y< zvXMo=!`3R4qVS|NGiQuWPrH|$Rp>1B?D}fWG`e)j!_NPWTv8m3JSSfw+&>Ym)jdHO z-GBY}L5IF3A6X+ZMN*~qt-Aex@F3v-MutXtMy^ymPkUnn6B~H@qVR)aZ zq=z}q?weCEn4aTtv?|n>vaY#zUQ{Dx*8(39R2V1q*Z&X`(0fh>6g!Wi+wiht`+%k| z!P5eyh6CU(PaH2I5iSCWkPfu^L8}FzgoE(73$kj{IQzB11H=i{RA(F!A`NJI*wH|@ zVrn2d;iV5hEL<7VQTSb|@QdH+mebJ5Q~+|U1Un6X>NoL*)nJuYXX@ubl&`BlknA$UWZUWLQ%bxOIufS zO>pbun|Wf=`K)u~iLi9bOPP1Xd3Jr&pJzME4g)SAs;<49I=75HPW6jt)4=lQ9Ar4pY@C1|`?g$;LKdxwF~ zH^TnAGx+v@74MVe6}xqOW7&>#*rG+)X0@8aB5XDVLT12}%SfWSqbEd-FvNQn5hgjR zItwqU^(i8ITOEKb>R-|AFXv*VhB0cI7>Hh}x=lCawROb86EDD{v8W=66G}wEs%+Jj z{P1Sr>2vm(^&w0W-bDs^i;b+|0YX1f))(vMZ(u{>7}ZusT}QRP@_-eg_~WA3y6-Re z>C(C7VF`aM+%KB7rf8imcM4u_vW>eLnzHDeF)2ikz1pa|%M$nAxjhjGs8y2E+72H1 z$Mk>ij27Gvp8rR^;_Z}ixOtB3Sx9)8SCKk7XGq2ipw2l?V|ByR&=qcaqGb;sHbs|Q zb^Ql1y_2qBP)&XHQ@5WYIlFm@O(u$q-ht60qrZun=9VG<5&e^5U=%PCRJ= z-qrwHL9*uJvslNt9(JNfaA9gH`BlKacCGm;Kr05K9>3+u$?VvW+>^E(xhGk85gUI; zC1ic(pEjvpv@n!mnE3$7tQ9}iGaw?hrbr@&8p7Q6*O6k{c(G%3_fOv_nW*SNXMi}yp;x=tEOdwzj=NkU=yuVZsCeQ$Xd5#nrx)%z+Z`DIA2Zbqr$z0JOdtMH)2Umf)< z^7efE^3`*TDn0m}xE@Pc(NE{>;BBm7iq>F+_gaSiC12$y67KQzDXx~bb8!k6$Qy)q zmif&ES!xFYrWW%&Qm+@vo8>HW4X^f2!~+aK*C3bWp7i-tc&avTWGbghyRtuf#?|F^ znP+1clIDp6d~98(_<0_Hcl4uz=5bX!mqpA5`B`0?-A4T%Nmd}f?o04q9|Pw_bxeJb z4mep%8anEd6sv`yd2|&T8OfmXy2C^aOE=thO07Orql?=b27mJ1Z#?|gxh(!x@j+}C zZcwUuIcA6d$gaQP9}>Di#YbeV4XWwa3to>1Xcr374pgUzUExgT1T@Z7)CG)IA+<*B zAYE}YIc4sY*5!bOnMyc3RLLSPDFmiRd<`rH*x#tu)#l!6>n+E6_XSrc)){%~NcWq1 zve07hy0cB#FTo$WJ#TQ!Ot}NMq%$0rp&eZ5HmjrM3psaAj~CRDf)Pg&8mdt7A;3jL zil)0|^*74ot-(H?`SUlDQ|tb-N->5d|6lX32|`zjH^`d@?!Cs4e13R?APZ6Wj_`fV zS+;NKre^USyB~&Xt&M1iZlrufMZuY?=KFL21s}&av_({2$X%{W?EZZC(Q}7ljhl4q z-2q2r;C+IM_eI5@OpQw>M{_44DzQV{GXB=hH^6LiNsxBs_!v%c&5>5)CRQR#D|&mB zg?Nrl_bVr7aos;85wy7(??W)0JaXNY@TVSv?z%?7JN1OYI#OlMoYh8-TkDO`)`FZq zKt9}GbFIQ7$`T|IoiI{ok0^S-gTkDD(g;xQAasr^$LQ3O)ekc>rPSZ^c2J6iLxAzX zs*6AvdhjJaIxk) z9JDsDeSwqANE@+NGve+FsVLtLKH$11UgoPerut4T@Yf5bhA zglVf(RY+EEaBx2D3FDI_eA((#o&(Ke18Axx8wGpVgYyEJDuv&DX|$Wx){A(GVZq3a zv11kZntM5YTXvlwTx3mz%2B@(dPwDT&3h1cl@R#0vb-W)Rc@rFa`UxGhHud^6ZoY@ z(=)++KTjnEhld9v-6y6|8V^*`1Jw4o@$J`aUA~B4KXEUq7y8)d)!gmiCh~gq)&8op zpag(sMvgY81)$_tF^IfcaBE_-7=3#{#!2Tquyg!SA+6KlZlUE{E?n8*9~s^0@*U*4 zh!+cEI%%!{AO}2jLeky)hu$it^>nr8?1zc*)JXhaz1i5BU&)~0376P(sFP2v@<+Ln zfi-61ufI9I4AoC)4TbM^(vm~jv;4@_uz>tftIA$^JcSzx@@401s7F>!{IAzPuSHec z^Zthj9VQ9&KOMi&nX?y|cB0pB`L|X0g==J$IS+jg8V*uOvpu)ZUVSRGN&ioy>#r-J zSoFc15teo)bpOnh?bb#%s|@Mx?YmSRnp1&-;(Y9%PRuk)l+i3&;N;LQu}rZu?{pZo z3OBD%J>8Pb%^n# zy?9B{>co8h$8%=J2r;ZzaqSzty#-NH>@eJs{5GSu8yh8v?5Xg`^N$7j3hS7Gf>C^l zRnDU}xO_$LGqj*~kN9Mw4&udNn^*?sO{NY*1w4}Mxl%wVe-PZe{leW!z-gM;W+YWk zE37^P#zY05Zw-)W9k_DyWJ6a(JfC#iYc3;Fn5NacJU59g&V_tQXFUD@3UMbuO!CxV z5g6&t&)bs7k8GbF6?zi4D93l-4^=Eupyp7NVupe2Cd11$`a5PHP@jo^$St= z?fpkurWIa&zc##OXt^Jh)@!Z37a#T3bvbp-%#fq##nL`$Ve{eiEG|3PN<}p$$2Pir z$n~<;BfrovpSxe&YeM}x^rKL`dv*%dVMIIPEXHA289U})<9>v){nkU(&@lASwA?fE z13q+H*PcB;CaCcSyJo#k@(5eXHf&H4Q)bLplL-tfaQPgFwXAIVpM(MY+@SB=SEZHyZg!nPEn?X%uL}c^>AGQ+t!SGM4`8OR z&TKRKx^cLw?ZdlD(oiqVD~*q_&+!*G3aA=SFH|jYw!(t3kwoCFTk4X2WzUkMYL|Yt zhM0Jj@u5{+81;4BZSCKW!SEL4BN79+5JnF&Iq(ETcTUB{ACjbm0et#{EFaM$#*O-7IUJz*7lUj|Rha8V!^bx>V)&RvtTf47R~kv_UTDN%GSV zFAYxGsvH!JbD@wPn|9xr_7Z`5^nwbQAKeb_C_P8sV)%^Its&`FM3n=f4LGJs>1FW+ z)kF6tPi*EN@=Q+0>t}<4J~p4J{s>2Y9O7IX1sskBPjUu^N=s>aN9=rG72afk5+=~L zwB8J_2zzK~cTCphAx^T$Vo7}T99n%yieKSCAUz#?ZA3TAh|X+%$x7tAd$I{#-}BUT)*xMbSsAiH zOq*ax2yw4u)Do2}u5PozQy<)t7rE?4-|w0iV?@=%rd?Miw2gnpCZ;wtT#1&^F(4+$ zC9hvuly-}DAIUc$4Qk$|yE<8tk5$5_=8xY_iof-)`bHGKc#!5GK&uYV&~$YwFIcc) zV>?b=1Q{X@H8SdRE3;g269#RYBzaq)Bp#>E-l;%WO3$}s4Z!3*g2Z6!DJ54!`21tq z5U0Op-3o#C9ZtyKA{$o)mFZNT8;759DwfMI!*AxD`NQcUJZLbhSj>;RW^+rpJ7$#Y z7OF+9Q%(u+gFo1~epb6S;J^98#~ws>u+87;*DAgCVY4}8zOTG`Z|B~U9Y@Z$XkAYs z6QE6SBTPnvMBi;e=(B9_$M?#*p4Ce|-qP%)!Y%9zpExa3*Xhu$LfBdg22p&QPhz=;=29GE=DLA_7t0s!Nr_@$@92kR`AK=*vRxWL^W0yGXaR2)!{XEo;LX zSAX{J6yaNC4RdFUqDbFV~)sdy;X_}-)-m#Rdx zs%2L6n}*%A(o}$UWEihOgOanb1aV{SjHq_mFEeCr0I>&lEZFO(&2 z)(IlEi?ev;(ZzYEsHw)n+eU<(rL?ls+29zJbggBj*14QpyldWW5+D0|q7)y6%%Q)Yw&UwCF0GIK+?5 z5izaA9u6njznY|IL*aSt)x504!={ zAF5_IC*0p9r=FswRrr*zFXx~9YN589vBl^Y2^!a$ka)eu2}@+FnTt`|K>#Ik0uR_r z0UQ;{G<3?ohLX7XrZ3}+bWR{e%r)z7A)5oLNo+0-oPi5HyUEopdBdfxMzZ31BxHH*Nw1ooY{EC4pOr=v018|Vz@4F^*o;{8O< ziAt$kyZ4Wga%qYg?-&L3DH6w3t1T`772lIN5YY6c}e*(9A8@XFQ_B^7uy zYra3QDs-5O+1 z#Nn9dk7Qy8@Poh(ny9)t+pA*Ci^VqHnpP{y2s0N8HV_SGJi#% zArl-*v$J!sc+%XASC%-yU5w7++$sS<;DlvqRH~+G(tGI&hS-K*8s0GvA;=B;b)e=; z2678Rk%fpwOVuRNQUB4l5g4AY4+l{ZV4eK}V{g=KAPUxt`?v9~J_{Ik?->2pH3G7_w<6a<)v9}2+@7nMuy(r} zv_#Br_sZfR7$8%^lZBBdOId^;M@64OGG%w2SA#Ot8R8*AkSoY8JdvFk$va6&|G^{t zV~!3%cm9>s8!FVupDKr17YwIxXEZB8nyUi?+5-!QkBC|O#HYV4Jy!|iskFVkQIz4* z_rozsvPe=Dhfucoz3pdK^B3bjCF_=rtYhRk$$uq#!ciH__UipBVP96$*MQvIH`#;; zQ~_0@ySHovqWh6mkj;Q@zvrgTh_^q7A7b9?5}TK{eXW#4*J%d^(fPJV-0l_A6=PfF z)2mV6>E+#^ViR$~zou`J3M9x`pQOub;2ER$0EHEZ6EZ;bN##(XbVjGy!$k2#t9)N@ z=BZ`iCRkS?2U>$MFr6C>2$FVOK{kTRy>d!BmaoQ#rQI}(%J*6;0rZ8ZIuwc$RZ*ey~R(uB1Jjb|Eqeb;ZQ?1C^3&#$R-&d`Uz>S!D zX$Z^5S>n~tAZccA_Isj0qER(aTt+^>08Do?t;TgE}FTDwR@pIGBk z+?15e9MJGP7tLFfuS0pjC0ocoTs;wR(lh> z5|1!@_NPjThSvkL!-V=nZO$P@?V$ejI(mkzFx{mngOZgY&gK-x0iL2f9rjs?b2GZH z0vLaQ;d3)#b0FC)AlO~>qD5MgG%7GUZ+BAV^<*KLzCqSFRqW!3qFigjAR`wU6PF$v2& zjcpMe-_TJgUZzCM_s1LSATkl*1Jp%L$E`hX%=0BT%yoA2O4Z96E$M3QErdYzc4RZ; z?N*h)L*Kgjl8F#AC_K0bK7b>PEB~l~X=$dU5`H)ZTofW>ZsO7=)xN;@1JoX$S4`K{ zjvKs1_6grDZ7iM1N{?FxUBAgVCDeBYy`YGAl03z1UI1|^K)Xx(-+6Nr#`D>3yA%KV z4kB6pyBzgFQO2}$$kt59i^J_FD^D@B-bnv%8+9b(cfgtz21zh5({l)vX=3|?DvfN= z`m=knajjgA3 z_mo!qhupIfu zR;oWamm^&x>4U6zJ2J4yNPFsFA;Nqg3ziBI#mBj&(OCQ7cc$xFBYm(@X1=~-3v$Rf z7j@aAJ#o4T_Ph_3TkIzq$wQIf6oxh*w;Fx&0_dlXqQM7&o6NK@4VJ$~cpUQt$;8}s z*FzWoLU$~tsyt)xV6nN8YO<; z%XsoZiMA+T!EIh47LFzs2T;W?U2P(c6NA3oE90|orG2!Y!y3JA&AqKSji1-*{?)xv zY!BZ=Tcq2~70=8r;|{w0ylmNZNwKd9W zwyJ&_qk~kWmKn2)bWPJNpt{I8(U!h&vgp5HsWllz!53r=2K4=i{>@`epDc3!zLskv ze3$;zJKTl+Z&Y&kbVU5e>V1&KcyzBq^m0Y>w+7jM{UJtY+_%Gf zDsP;dJrPEiJNzGoDrDO>H_T|parSu2)WiQ}%VECCJx^zs8tiX~Qm;RTYZp)E-Nhca z&hWL*GsO-DFh_kg$8$4A zBYFtb73EGTYJ07=wu|Ggz;T^Z zZEHZMRoM{NMCZ$f7F7!HMHjs^{O`YtHQqQr%yXQtni)CpA?~hwEW+RYLN*y`qjyN?` zxVdPQ-9pHQPFnB(sB`aafG$j*kFaMd0ul(fruMwfY>w3Xnk4?4+ z^ZDcBZ#&1>of;L7*eCP@U!RwS!VNWt6OFKddjf$^iL(bc&g(}AsE{V50du>!Zd zsBlP>PJ~Qp07qKK?Y%9~VpMx;8%%&mNu1e!Zgp$KY;3P~N2W1sc-KL|i3EhyRLTk?y^?!*QJ!och*T{*USgu%u;BX5ii^8m}Uu zw#>(qMbeWkE80h*a2~E4_I6G=n|n!J4mUJv=HLd;C8>bWK?VA?cX+}XkB~2wk2!Hi zx~kdsfhGSikIAJvCeUl~9n_WP##)+Ku=*aTul;>9t+CUeV(sAFtZ;g;lYKI}OgHkq z^64C=NlSDa@FN{-{VfY`YWPOw60^Fn=cM+1>Ke4rpMmcdwc!+JCspU^(W zfHEDoCx;BnDom7O(RKuqR8jw7R$?Zi`Aad%#62CEa8M^;X!F#^68Vli(uE|noOk^* zSf~SliK||Q0K?i6+s0%gmeZY0*GMLoDu20V+4V8zAIh?F3>Q#gL|88eH$CQG+7YAu zWZV5RvFUtdg&iFJw)0y;w>xQX1E}v&3rI;C-v@_DU96FjsOA}~zh6SP&FNkpM7(@D`jAlJDIC}=vjchNB0|)L6zI#U;X?cy)#7~3kxbS zoMi#7fTG(8Gz2~$hwo3N8-!@h|Gr+qu4yRVbeD6yL4Af;YmQ2v8uKmt4$E~h7=7LQ zcm)16PpVwfox9G#ri|r;N39a;q1T+>Y&=)FBYJ3*>V*utEs=dMVH5W6Z3W7^6V>n#v-D67J~tB>TZUS`#wLT8L!YkH~Qc1yA!8^)*+y)wxSKh zIagW+`up#mpaK@#WLj(p>oAIT*p|#~pqp0@ZhbU&GkkHC=&r>&$dalD?oW~%)kke5 zXcLFM7y&Tr)TjEeYivSF9bd>RG_bS1z6Q28|CtJak^|tckHF+97>a50ASY%^I@99i zK~U~S=lV8EsgLAa+(ykw&T_p-Szf6g7y`x!hvm{zZyI%Fh@a4gP+UoYSqyTzx4fp# zWV~<5z>hllJ6mUxTH&w3edgABHY|T%hsv;o9P?5iikO9XHHV%~%lLk)Z8~F?;tq;I z41bE&+zzeWKriM)*$==`ntlBFEK z_vP5YazjD)Q|tCW@NrW~F{Kp)fhWCKQPv^DfA!q6`<=MlTrJ`$dxo7h1=I4;ahfR8&4O#~s zE@l>dIz0Nm;!(;t>&;=!k5eW!!);lGvoLEj7SDvoA@9=06U1bf*}6h&O)B7Ko~HpX z)qL-Tr!`NeAZ5Z6_n02GSiZ8fMS016na^!?d+NMUDKlbV%oZxC1fZpeeq<1#Hg{w~ zvw}@f;+fHgejIHM8wR8gDHYl} zL6XLsCk{BIui`5>xn-*qksQt4VdErMx`@O(Q0}{>)!0+kW~gCfk^J*f0>kD(w0Y{l zMSv7#OkG5vV=3C<43MOVLHMb`K_p}IRLDn?#YX|eioG|;R!^)pMo9PQrf%<$j_&~e zYt681wZl84skc6NHO_z*rTk5&uzK@kbgdi1#}(cPPVkCMSPUfHT9%Tgv&XPatl^BY z>K)sjxMV%Cm^m!#1ImgPcv`-=$S)Wxvl%rJb!4eQpmthIImiSty#YmJ5(O#ENGxKH ze!pJeOy>vzxWS4U8J@{@UefkeM~xg{;}bHNox76Ossy}k2Npi~HUE+4#-mz|4n&qFL|`iUyJ5vyBmUzUmZ-XGDJ zhHJK_Yz+u}t|DLg%=r3<%F>3?SGbo)1V0SM^%?|y#a2pFE~7lmX*l zOVa)(9-~3jvSQ0#oPtml^|uAvE2_GNY3e}fUYp^F7yfrzMCW*qUBfCaq|kJt0G_|5 z*~?z~tP#SpKqE;EQUXBeh>5swB#s1%NR9unePnJrZ**kI@Q+wl?Ewu9HTwk0Z_nki z?;C`VFBlV!>Q_M;EQBqDboR3nkDlg8U9Qv3aYhZ_;<6#1{SK68j@OK&`*1lmHQBJt z>xtGaXo%bc8@ZQDs%sN-L-0bD%xNH-ZhKXMnEld9ZbPINQ@mn@89rPlqIy;EEY<;3 zGs!hxkQeN`Zg#qx?{$<;Oa7_TED67J zhosO>Z0tDTLCCyP=YN?pe1d*p%J_vDm!vocvf}_1dKwcGcuCt3$7WhAN_5_M$znxL z`%jujt@5@_)*ZL1n$146mTUL%2w1rLu4eqsa&Xqslqq^e4Zs-_r@ znqrVLxWAD+6qTPht3kUp>acr#db-J|U0}(2D^{H1{RO^G78s_ij?OF&3Q3m~4l=3i z*)|dRU+FNf_otUJKHt)Rb`#A|+Vcta9Llg>g%#dURVrxncQ>hT8(@+s_%BHOZ_H>T zZB&6m!Y2Ag&8aH0LewvkLKLodL8$Y}sh6|!^pg(H>4<5ku=Ar|pKS+drwkL`NOmlP zaP(RH$Gq7!wS;R=hId9r_N1HO#niLLVE5u>$9y5-qPna@#43GAQb@APQV-A|-o9ql zZ^P!Z0Q;yKJ=(i{8#o3lIffp9q$bX8rXAosuvL_%EIJmv;~GwqCp$ zm1(c}U+#zb(u?4%tqIQtFqc78Bg`JwwNX9>;STVhnrM7g7CSZ~EE(|u?amNuNMFh! zhqlrS88!w8Dfp&C*80X;9Pjg<{IBV1!(1!4}!&ePNV{6m$<>WhP?=e~j-AvYhy!2`z5n~+$Cq`2MGWe=S zqSh8bKZqR`_StB!ooL>kdg7Sagr&8@#ZNj3?EhovT>P2(|2WQUvN4xkm}|pahBSAH zn)}@6F1I%Kdq_g+yUmChxf`iAw-B03C8^B)mV1&eU-u-HbW^{+`FT7(|G@d2^Ei+9 z<@I{Lpo^;uk_gd|Sk;t1XaP3DDnq&Rh&v^;&dT8ed&0Bx7JRhcz+d3OLW9quwJdtf zC>z-J1Y%lmW!EL@E|K@=m_Ut8vCrEh*H(tfH3qve}R_)dJYt!jh(U`Gbk*hjFLX(3v3+XZ`b_+e%&6n5At zHzY&)T}3kt8ray824L4+jz9mOClYOAYQr~CCMP@&4i;n$yl-h(OkAe)(TT4wQQ`lrBP=Ab*%Jp*g*Xt6HXoHL7a2<%K#)0Ff9ABeaDMj)qmw z$XgnOXaR0*<#+_5j0=Fqj*HH6t_=#eCG@MnPBRzv`L8Ux4ev~>ie{iasBu3Al1HxB zVhw_<78#%`JDbGW^sAUx+5)H0n9pRPB6Jfw zW1j9Ma}UPYB4InSSvuz;T6A+oU{z;m6$g2FyC!r-N(HM^Xm!0EFC?l|J9Y<~@d8aQ zC#)DO*B`_5JrrzUioVe)C*PSUI`hwu9T|R=!1Kntxli}+?yLjgFU#BpZJ`zPsV}3$ zPQ{Znq)B+-iCpXV*33jhg)^GwG6kx$)sZ11RPacj{s2#Zk*B}j*AWi@$B$vw`!16D zOdr@Bd%Ft_zWySurE5QM#-dY(AYQv;apc)T!xP)shx2+RmKQ0OSe9?zQiH6fi@!-~Y0ZpJrAmR<7+XVPe zmRG>P-)DX;FS>%y3M*~vke`8z9 zAwQU2PBx~#Dlb0KztKYW?%oZG>#pLn8ubd&N5WEl?RfUgmMv9&p*WY~XUS832E4ej zO`lK0x>e?8Q-Z3DczrGpJph0XT9hlHfbw_#GqBbNs-h=?)WnZ|c`PiN;w^*kl%r(H zq&If@BsrE^2C;TvrS?&PVdOPH3puc5aqvV4P^SHLe0nA5O_ENI4ua)#W_5VtwYH18 z=ZOe$TX5bVbD_WYD0A$hwu7paW`%2K#It{wTBZJ8P|evNbIPXRFhUxP{J-B^?ygKY z&a4!DAFtXNypZI4Y}E5KB44Tj?9^cqc6Y1e;8ER%|2l)DDlvlLFVN` z`72z4vQ{c0`R&6e1DezQ5~nP5g!((LPL_{17*ihFg#A#Su=>Dmo0!<&H$Z%*_a8H+ zUB69Dv$il+_oB-9KFU7Cex7u|CDYE_G7cD&cZ82B@aG6b&WQ*Wl?LLn=W z)3v`u!J${%Ek}f!Dcpm3`?F|(3C6;2aZ7zU;=M$Q8#Fw*_ZCXv+L#R+Aw3dn4sl!j z(tYCjkH=j)izy`Tp!(|;k3BnsNoDx%5rT@b@v@ar;-eu|s)<#$!32d{eRz*&qZtOX zEFA^In;E?^EF4`@E!jLGIq@nX#02x-_-F;o9_bKJ+|Hv)^gi88;7e$Y#o&TSGZ$KM({O017PE~%{VZH2~u@`=t zMg0#6kV{Fobf~B+Eba3@bnyOuiZP&W+SatIbY>iqH4zrSJM zH#-_%$V~6sA=HLWmJ|@bFpFU-Q(aeXs6{(55bc|0e!&CM+Vm3oAkqfQ;kwrBfIIpI zD%&v92ej@8jQ2}_Y@&2q%1lK^BunA8&kx7UA{h7$#a-udJ& zr7*7v)xv1|w#~{Qh0#q3eN1osu&u%jz{cIHp$`?Fn48&!DH?&ERB=;WVd}*ttkeBs zx;N+^H@`&X8HhT>R5F8JVvK@Q9D-y%Rkf|k&?OmqiW&?~pR)!^w*hKTxGscHCoKt; zq@r`ODjZpgIpyq|BN&;0zkHclP7zxhI);vfe!9m3EmGQWb|eH-A9g0Fq1HZV6K;C5 zYoo%iYJ@J8%KBoJ8CvGL!hANn&A1b;f2Wyy*SL^g>eFp!#WLKCTC0qvyM}SBmV8zY zWOAzfW~GTfip_F5ZOT(xcdvNTpe@F(nxMhI_JDG740iBYs$WNF*7;^`oxx%}KeRl~ z=EG2#M)tT+mFg44I*3~(I<#x8*KRo9slE^+MI^X}oY=hbznB`@*)h@Sp){WJBL*?h z{iN;*$i<3&H+5m1K|_Aq0>cKp|+pA;OUPjws zRbw>h59@En5!xhFGjnm#yAZb413@I}ljNhytK><*LxaK90IoFjzr(uIt)x$KAAcAD z$pg9>i^z5PczoQRx({u%3${zGs=2J+C5 zOVSQ1jJpu6V+X9#)4H0&x(w2)ng*{Q*72Iny$J6VdOF5K5pd$;0m4#~D4pqL13b*I zhc;0%vQ_U1eT=ZE$J=&@e-VnsK&{YG^ylKPOr*p!>tktj-J64S#DCcqCTT!<$~T74 zM_XwxRF+QGnv~>yO-Z&-KStC@rKOgw^LjL256A0bIf=_%`I0;8u~7Dp4hI70pk4Rk z0_+!q(VxtRk6~AuH9Cdm{^dJ@C@IMDB4lFj-+8l}%wrTi9!Lzw@e@cKy3QFZFqiZe zPHQiz)dC%HIDV^+rM8A|FU<$Gb}*r;Fm+N?imNw0f)0`K^9nxwY-$V zdT2}GNIcEmVP>HItZWXbPv#Jus!z2$Zf9YlB$?|IGmJtP5YAnON%Swc%gStdu7&7OJJ;v79a zTNwuaz4Olcc)NIJiH_8ZLy}nFSLF-^G9%NUd@9aNmR_<#)ZAKu_zKO2zQ=RCr}=Hd z`d_K{%(Uh0BkUY2hjcf|#<2Nf2NvHEvC~obGf6q{@%T}mjbGu1m=E`AeVmPqeHc+K zB$ww)#b)9f1;|B<%$6zwWD;!}HWBBl%&|X^ndCCxFOnM`a_hCxJi(9EZr}&_d9~h1 z7(RWq%B9!bu4GjMR%e3^J2Ic4n(P)FUe zgeShfnOkNGl~xzZn8Dsa!w%j|`1+6~3?qTXJjKBXRy@=X$8R7lH-vL`lubRu&)+JY z6~Az3BHXR3cZ#4oJDFC!>aEQjLYWURzvS(gu4c-mPH?j?ocdaE*TDewq5QDb>+&nX z*p{kk;Ti}`f}jC@Rm7esqVW(RjNI)* z-EYC{={61N!Yu}V~0RGUwT&1mNhCu z+%@=J4anUXArXO`W#CS~H;1UVGJUlBt1@l`cHYr(@}~awm#+)(2jw^hWcYY;1=Z(8 zOk`3&_BrnNotxJUe9P^7Z`^RVY-#m8(A7r!ZYbs&!3dL63DK)w0UD?)=2~8E*GlGP z!CCCrw3gni)|2-;1YU zT@_f6*a74T)sWC6tIk1*gS7<#5=$fr`?aB7YPOIi`2G}7iGN*O0DeF2{xs86JLpB+ zxmq9QMv&!M^&MGXHpICJp}r!g&;$t_$+U{9HyO%AZN7`zHcYc`$f|MN;gge$F)ic0 z_aI3X;I@-jgeq{i)N2?$G%bt#CQ$)zDy7f~%FiVv=pvc{!!jyV{POlVt)wU^6C8qg(+d053evmW2#5Jm@ zaxrtYpIG0vgC>3HYlVUEl{;YDABsaSZPU2}cgZU1`V4qyv z_l~EKR)EPop_my-kFlekW3v91s812v&6JJbb;@NNr+ zX66wU7$`uBsL>Cjlrd|Qnm5XN_=m12Fa8CQBDQ6dm5r}V44)D(q3jydHRKunD532; zB_!}gvci=;A*$Q0>_jj&W9&+z)KC=U&bDd1O4Gvf#8|7AV;tPA_W*Up_4KDW=toAY z!ktgslb?1V!bSC3kBUx>i8ED!P{25UK))>Dee7?D#bP@e#SiUqvkK%Pg!;7qD9-;L zivgaW+**Tp^~$Dc`?vPrX5zi&cu43w`w%C|KtZ^V&i_<-{&8fesiiVNrM_u-p2@o% z=s=1g4;sR(vvbkHeUh(hpk7*s#A$f-=eJd)3JWDTHyUclFBQZSQss%&-xekG%8VZa zS%|>hc;MD&vMqO{^~^?dSz@nlNKXWPm;~rhgbtKR)nJ>9S}#X^k%G;*8JR48 zy6+mMBKWp=mQnm&qbqCg0)@Wea#ZvBRf9PfZ7BM!W0bN2aPh3#S341gn|g8kM5m+V zZ$3vYRjJ9E#zb@2lC30n5;wbc{0Vj6M)6c9&%E=nN5iy^MQDDGvnvkMx-kSDPSiXb zVmm-3RDLwb;wkKf$0&V~Ag-Iy^*Wk*~Q-{_=sOo8o~7TBl1uy22Jy%P%)rC>PAL;BGm?fZ>^f;#QZau)eE2OO!Wp#Y+Q zEhS8IG~(2J)2ICgyH`Z5(RS#+BcImSY+oainn6cdmVsUr$d8&Z0Y$}cYah3FP&*Nz zF?Q_Iw)GbI@W5QicKnz&8~%d}mFSSJnt-?rnW<&qC%gYSQ=r^2NI6IDCRu8X`do=D zRZmsU27fbLH7Z*tA#C13^f_J`XCzn4>0|>;kc=-9_8SZPbR6!bB*RcsCSsAMiYk54 zC#LW);8-G|msmL^JLu|NVQ!MT0{5v_bi$wfat-cA`F9?#@Y&_?haz+nEhCqBtP*{8 z`!IrLR{xL0(G-cJ&1Ba+JcGOK(1W~H7O%Ij7d#czJb7WnFsL@}#Zhmqz<8rT>B;jR z6Ots$Ozm%(pAMss9YF!@AP+A1?{m=*00I~+ZuP@>mYQ+pftvSx`h6w!axS?Pw|!I5 z_JTg>H=j42&5D53O8jmRy~~~t!G+jonJk4$6Zj;P zH%xv}pd*mPEEUjnu#__%v{YtibKJO+okd$alKPR9tgdew?viL%E?AB7>XoVFgHMtU zeoO&P4SrYifCQv!Jy~iNFPhI5U0fF3n}1!k!dl>yYzXScJ$Mu6>B=&PCX->@0pPZ# z%p{)dvYe!-Xj)^g(5wls<$($KL>@=h*K*KU=;D8_X_seYEBX4{xtF_?Zn=?b?$dM| z8N$yl9As_olR|cqGmdvT>jh@st=qR)G}KYKD6o}ML-sEsm+X}5MCRZ)*|=4eG&O+z zO4CRtSkbUVzRdcmr}{tEJ0nUq=Spn;`}xlcwphfxkj4G5uvXuNPZDE<&)=9#|Hacg zO?IUoTK{f;3cEkG+ECcQ_s}OJ_d3Nq=bGgr|FOG=BK!f7j4Z;cMMu^B4)xemU0I(# zsah_PP)`)W^ZWrhU<7V(c^?}yyqy)l(deTXzv%?RnJX`Cs9YY)Y=3cLj6P6{3S{PX zWqptdiI>(5jvsb%-}wlf_|7W9L*+n{$%;}T)W3@W29uJou_DwQi;21S2QdhbBg2Gj z4^DQpAPFSsCKV|9>u(k1!Y#hXqM1@vcu=)O;9h2JS|QLyFYSn+97`k2c*S4jcC@^% zUhf6QSl|CtZx5to1lS2&bl^YgyN15?;wNy`_cvf8{b8`9*6m)YbgDFK&~YLiC!en^ zDc*E>YWRxfuk`6*^#?RvV~+Q1o!_A7oj84wW}Kr|eZp)%NhWM#iE?JirZwvu^zq)u zh0fM$!?4dgpW^>_s^Oc{;6tc*hb-{Ac4Am7W}q#i?9?BgTc#o*&P zu=2IJ|91Tvt81pWRWIg|g>Los&OERrt}ZMsJI+=!F4z%%4MyeVU(Uy`UL>WH1qt2abrm)=SDakcO*GW7Ci()0 z7p?MRNv!ZyPKAxdnK=rS%_o)L64+!={Fwi!e+Jk}K#JH{<2Pgf8|Ouc`=Up2jismN9hv-Um(?X-V|GS% z(tEzYpEbo!B`fqG!JKJ^^CMgzUEn%IM>|=X5%H}OGin848L#JVJAZbQbh?#9`@Cb9 zVPp4w!aT}LE^!@F!tovXCh5TF+O<9HH9((fnEcTWMSv%(79!6s-uT#ha5}kmKKZ9{ zys>ghwN#o6taaU<(3@Vxun7oKWt@kVQ7=^Go+xot{%vwLWcOUmHM=aw!rzH#*s4q= zI(|Y$Zob$3-d6?BUTFePT9qtU@*PNM3@TZ!d9dMbO4hJIR^fUo5Gwy!mFhk*hE{Wu zlUAfL)LTka`Bzvt>S1yN?SCaCcsKvA$!>#f>Zr>antzLRU%M3lLV?Wlap%8vb0w>~ zX`L@ra>i=dK0|+6h9k+zpb3|^hMqHQGr}LgrlZlY38vy_PwdlevZ+{GjMi@xE?%U94Tjp1r$ zuQY8y&22<|>v(xZkWaWwyBeId;_2Qv;u$8hfWG8$(IjK_vF>ZxFPbvC#BVO%fAW__ zD)Vpg#mm(?U?f4mNj!-KJ~>2Am+@Aa(5ZbH!u%gL;ji7HjmK=i z>d4s-lGba<;Z>{ZpUUPB2E9c{Kn`T{)`=kXMMICDC0Ylg{(nd48p<@BgTonWGaw z#59NuYOy!+t7~mRS#ONBx%(7&?&g5T8*iLUm3f0LxoxPml%o4l+GDHDHbNobVGx6H zI3o4xYzwkxmBxAYw2XMIB4uiA?tRqqibB;j-JM;i`?-yJ?4Eb?RBYPze5tD!LFL4b z)~ITDThRcZoR(LqAL(3`Fc5Zg*Z^C0B10+Hs#8BE@kDfcdrWDm6XC*jyHWd63=!4= zd;yfxj(1#Y_A$3Zbq9GbE!zX4Ube!!M=B_xN(Xr|$j9-rc3-VtRD^FVsOuD=#yS!C zRdOref&alHKiul{o;sZ5>a)~t=x{XQ$JOkIZn?s5z-QzX#nQfnuF}C6tvUL!-g{q= zKHq&@Ax`&kI$rSWS~b9MNFg67X}VEj6pU$DF3_qvbczKn>o4T$Eqm~+j2u(?2Qu%c zSgsg&?MEm&!I#==GLeCcP;6HZT_)<^^f^G3mRVVT&}587zv@syP@X~mywxbAj{wWU zM2jR9!VJ)z4%anI1!l}4XKL$V@?(jG4CM{lsP55?*hzYVm!zWlk5ZQqUz?z6fohV(%}WY zU;=jjJ{Zy1uwtcI(7=}&w_LFIp;_-tLa|xhGOR|&($F7R9$UqU%7*0BhM+=}c*3YL&nUV)|UJ#3NR(W4d7L&(XAPGpc}|t(=4tCWf7o z3*NM@5maj?Bmyw1`08;=MXlDq65S1L!iWVQb1>a29Z5yz&bvbvth9F=AsRuo0NF#D z9qj>M6K_Z_2J?*xJ9y}LUL`m)?87;u{s}8M+-U6Ea|4?t3&jOwSrDjD@3paGb-SVB zZjt6OlB3phUCCVeHvKP7MtVex9Nqd5WpmGHmR&bqN`8J*Tcbg=@CF=953f9XXJp1! z@z+CX^~VI!{GjV{_1B}{R>4)h>r2=O-J6iQ4|R5SQ67F*Jnb9z+$$IwUiGX*Yn>)W zswlR*G-z9MO!xS6Wz7lVpno4Mcc(4o<2@}8JUG*)PgptZWAJkNnh26R4p;30h22!l znd}sT#2E7^NgUc7N*NqV252|on1;(%(weB;`v?`Gb`K83zfW9cnwpO^twzPN^7Qc3 zoXqTTiIoFms?1G(kP6iTykkFTfeQx4e_J)ic4flnGX`9^!=bawnWnlDd0y&U(vKq0 zp}-`XfnzW<#36%{KP2*>>59-dSAa3!yPBho5?Yx8!##BXGq>Fpz2Pj4^b94Zg{57q7sd)ef=Oob7>v;W=vt`#e~AyMBo6t|jOXQ4BR zvX1fAKO7$cH&>5h-w$d};yY!3RD&n~*u0I=m-Ec2lVvFn<^?W|$o(2}-SQ!0`P3DZ z7wte8V@nOWgj@t_t#EFcEYruKc@!*5Pm)l^__o|XyELg=c(LP)b5=hiJj0x)MbZ6| zovpL){HxGQ(?EnxYOP~fgr6W5;{iAP{meGEE5sO4+h;d>UxyoS2tH!D@$l=7EYo_}Akbx+;1IgG)kn4xJL#AXSLgu|p54@Q%F=B4l z@PS7OZuJILSQqipx~eOw5@)x)?uWzbwJ?e~r;;4b0tq?-6MBzN-+X*w84P2Ayi}X}#C=fDZT8P~Ywla(h zm^x7CS0)q8kJ?;Sr7rHFpEwp@^w95~;eYTz;l}IeH%CnpXql)EUhdBgp4s~XrQY# z`2V~6%bp^&uJhr{`#?sZJs$Kk5FD@+<%H~Y6(txSm_yZ8f#D`=TSIs<6l$8G<>S$g zm>7}daRA6C7CF&L0#E2XnT6iOyfUebOM~Kq4yOem$|TmzQ^a<_OI)YE)mn8sE9?HO zL0-T-2kCx68r>?AeW&}X6gfnY-$~n#--4zanLVJF6xE+&9)yp+9Hd|7m5;&k&XwQ$ zI$s|KzZw?=^$4*%t9S^7GN$UTFRyj!W)v7?*Xk)cPkg?jHZvp`bIyr-U4{yjbb`Dm z{Ljt5u73~h-8PFj=`Dy1xtykv@(BVXnQawZWV}dTf6?KX%)N|#^$Bx*2JFZmK4JC9 z!0Hui#4!#Q1OzE_g&-Y$S0nvCo=D!UO*@!kjA0AH<7)I>ynCX`k~KXwk{JCO@BQz3 zH7VxRw1HDmCAwP;-(fKx33H^dd3Ap=e& z`LKE+L+?Z$PLnZg;KHU_4;gev7ZO`w^OgwFR}pbNAO1u!c%TqEh?W)kD&34ulBcR+ zanQ&8U>829EgCIb444LrPL>Ei=uPh76LR4b+R>r=y;IN)&WPgEePRTjDHII8C(8144x>@7>l>5!6$2CC_X~i2A!=7H3KycoW^gGKDR5LgAZG|XfU%8c zlM{-8@0b|Pe=(SfdovOc_yOCWPZ21#i(yHPEOoT7-d z9ExcD3;PFx*bg33cX!qPadUhq?%%E=-hMCU@jHnYRP2O}DsMw#I@zDS>v)S_zy?QP zSQtM^fEy>6-lfE?)e>DLkZ+zlU1>wC*Tp?Z)a3I-zOe-LQbqfgmHDrVzKqwZY}ax( z2i1Fl`iSv-S@B;wwAg!>d-?*rNuUJ^N+XY>gg?n)54iX?bUWQQ! zoZ5=D4`%RapTC)P|9P5*XLK;BT8a%!Q9!hx?SWwxAHSoi=7Siv1PHBXwg3O zsZe96c{$l;TFr)->NyP@CjkUzA@9rq_GPj!R)t!`LtRzr-blK47mrF(N$KB@Iv40krU|QwYag=U zW4|V#Il1066noJ4Hp1!J1tYD^?AS)5nk=!rRdsEtocd+4?*nlW1!fnpIYp>*4I5@D z(n4a=EFXp@I^pE76(btwU^*1>GUr+%rsk=wNy(^R5e1K>fZ0S@{5z2zV*}R%Wz{z} za)o_}k|1W@G~%BG?7JbvRD1lhM93zbIN%1@>5W@uBLiJ=PZFTY^Mdubvp-7^PjY1X z`LG9`S{p(R>HHd7KK!?;|8eJt90GeE3#7uH1LuEh4?a(TmKd!52JTUUC6XzgpPz(rm3QKNOKLIV;5BimLJp^pER7LAToNn1H`lWcYqsl6 zEb<7yzncvT77O4PEqKX_K^tazMXV`lKiJhdS0r8|&^%d+(w{#0_h9a-!yeRsRb|Og za&dWRd#GAd1CY#37dKFT9C7{iLev6X@EaxWU!%*zcx+GKv%My# zg!s?r<2?$IvAda75Ic`)Uk=3V5Jp(Ct5k=V>bF2}F(k(?4X0+Be5Qp`3ZaT5;al`$ z4+>?itxJbZa>*YY3(b`dMlP}`!lFR|_3WU#t`JSGhSj4$?b}DF-18Zu`8g{hzkLeT zcom1NBP0NXU5G+=27-vgXVj@cHD&C)<#UXI8*_%V33W z!OVIOK3(+I3?##djHL*t{8TP4jU**l#B#x{Tk^s)?q(Z8`FMbw0|2>M)6SQurBwU4 z|LQCj$Jjlt=M4!hIR7Kww=g^UC8ch&BX6i$YIs`6it|8;m}V0VIm8>(i`T#YdZMA) z`JHEdnH{5^B~0FxsFH}i!Hc*8xSa>~FJc1?V^oJXFZF3EY!%7Ya$~77a!=ckNvWU_ zJq`1je>UeUmwrm+Z+G3v(fa$`clZndMuN1^#FhjNwulhs8uXVJfF_H$OM-aCqw4Tg zgQH!)UP$FHX(hZCdOJYuTh3>As%w%(*l6MWgI#j-ZoPRoid_H@e8m~>y-37`>q_R7 zpgTOpCI7KYJ9#_p?xXY3381&Tj?cb}{m#DnEz$1Liru6Y#OWo}jw=|B_S`DG;2-X} zl@O}ipC$K>lP%&FsDHGG1e}TouyhO~;}x)$HkSQ@Y?83nl1*KKfwwyj0g(E^=!90#7@`pE%MFV`2YkUv}VHR}M z-WK`BL@up~DaAaZonY;dv~!IvS4i)XCf7?SfB2`fFRo3GAQorEVmx2|4bU;MzH!C4<7 zU~m~~w+q$WJuBeJ6EZ?9Q5q8dVB_Ub=CUsEfs+sTMU{sI!+XI?jn8h*oaBvze2H}P)P-P(Q{Va42rAg!p zNA~vk3|-h?xk*4&PT2r6(vD; zuAe1Rrc>I*J?Gs$us$-fhOu*sIM%HflERu2I2uKf9qX$el5_I5^ZhJAj{85J=0{Fl z(yB=0S(i3pyCfe6 z=1`bya{J8Z_uZd?Os>Ah&kp9;zEq|!_7>nyUcm#wd+>UT7L8@6@7^ate+nDYK{4?PGvh@S%V1Z` zkqM&bESKwGNkt8f&*&r{Negpr0HW`C8LG=)nHPRT#2Kr3(>rYT5IrZ-#nt!R%N5_5 zLe!vNL>TWPUeIJ)4>(3w_5&BrKn^y6}=yq7*v{p44c{TEW!Fk#LWIu!deUWBb zoOqgOihZ^x)$+0-Nf?#ZHhZU=c%}`&902}O5qh*D<3-Z!Dv~-$73|}C(SI0{AxCm} zGx@Csajr+|d=Grw46?w5Y4D4_C#uVBhF_jtS<6K z%l~2mp2+9Dpaf51bd`eJuTz94%Probg)oB=bNJROgfNy*nEY+5LR{e7JFu&^jSKM! z%{JnoOGLhYWA0!^EnUTLVkYcdI0v-^+)hoslblN0f@T%U)w5b>n>{izpW1JP#?|EJ z^New>5VrKKg?m%JjPjNN`y95&-TUX2xXusmPyQAp4UI~@x%b+8`E}9O>sM=2+nD;@ zpXzF+>HSyVJYA?iy~Jo8xn%ICX6b#>oVf5TUF;wG0qj8U?t1r5COpHAv|elaZ#gl4 zjLF%PqUaz-EmpcM#8$=6_3>54atAF>X?l``Ylz4)lOcDqT%s)~33ob8XJxc+pGtmU z#s8_V`pAB~9Miyjk~^+Jgx#2cTy~RPCtDhpK(M4R4L(unt)KcEi8i^&iOZnB%jK^# z1XtN2jtAmK#23OxZUGZ{fmf6%;RS+K%Od)2ph-5+HVNoj@0Amvzjjx57N6{ILzU+M zPJE>sg#ZgVfWY$rXYr%9%izc%aOf$6*m%*ybCySq-Hr4S5cjM!zMh30tPG#>Fnv`= zgMtkk7202x_KkF6mgCPHYCX$Z47VE8YuqMk8#Vv72k3ZCl<0=mOmm7)xK%i~Yj$u_ z=Zhyb)9&Wa9LhI6W^9Iwo}`r=^BWJsos|r3{5pfw*Sy<|xW6hPpL{ruh4~ql*LH*q zx1M0-9(#odUaJ>^OMO}l9cTI{g*mR_G-I3n{n{)RC;GCy*?x-W=Nk&W707M$X23z& zxDPJayk5FOWfE!P_sQS<)rQS&qBu0_TZv)KaBF3CV@&3QIDmoI`}@_XDQ}hh(v&1^ zNn?8tIzZl6KPBhZwf4%Qf)?Nh?}7(4wjfH6AId>(_m|gYJ|F_4L&ix69OBcdAO*HCJcHt4jLEaB?6TUR^c?PLsP< zIhdX{kd))3F|7iAYk4DExr)%A6QO&euw0F$!(XJ2cFmxNiw3QU!2L~Yugo# zbRUkrKt2yDu2?QlW$%9o4D7-ha zTGkKn!G$$!A2o{LKd(EDDS}B`Uvq^?H==CB2kikS)9kfE7)^M))IHFyr6IVzxRn(H z%e1Sw-MM5h2OiMbmFP#;DVO(%XlS8E82x#;IsnMFq1o z;(v)sxv{!zr1kB^og0E&uA^>JCGnGb{5bigX0GWdrym9da(y=rTV-W^A z$s4%a)YudCo8cG~Dg0y6P3l}L8QLzccGR5$_8Mpe_ei*6w=t-`{o(Y0)UsdN^q$}d zLH!#q!^3{(h|ET)`ro!IKMz?DI)Lg2@ZQ^HdG*p$Mst07-e)0gc<{@mY?Nn6pL3Wu zjvc{u*O3rZ5sz2V24}eR7S3yS;xnTQR)b_50I6(BjzR65H1SZl7G(l8+}Z-Bg@6!D zG+3Pwbd9~wG1{f(#+6i4jmV>RqVp%q+5Aw=Uh9lz)*$mwF1W9E>@&k0MD|gX)L3*q z9&;F9Tg8q^DYjLu;sYNPKl~!p5?=@&q1wVTq2#mGvMQ?HwCgkziPv$O!h#Oq07{ZBhGP zh$bf&VmD3gcDX^P&nkZM&USBgXF6ajikuCTHhD{3dyoN5#bb&Y3x-Ki$I~L41G$Z+ zx~@~&M-=aB&DH}|SU;;2^@eP!ql7Q^c{c_4irkzua*4>qV~Vi$5l@iXzd)V0zIF`Y zHA`t zOV-s3wD`Y5|2e+g)ZHW*HlvffW5o( z`(quVb0()tx5>3K;wBNnT{lrw_um=fr+_k~B^0cnCc40NSnU4PzfzO7ag?yN}DFbGPQ07!LSt zJo~tj0V9o|B*P_|r!F=b!IxX2wSAR~cObdeHULT0kzdkjomqAwNXhKWL(oh7nSmwB z$f%S;?GYZ~44w>eK35*}XRb6F$B`Y{KRI>XyB>k(m#f}frM8!AfHeZTF7sq$G(}VGOT|&K7D#mn#u^f za$Qk9Mt7rg7euX$wHz>LfX7X7(u&edp6yg zL=!?~6+RLyt!%Nu^1rE}xl!73`HvjYq50zgpZM=ot^wP55^z$6`B$V0jz4lY^AN|_ zb{=4e(}EE|**=0QEJ5H>c3U+-pIGjue(lbkMoe}lW?#^c(q76^IdEqma$f<5_Ck!0 z;C&0NM3S;pf-L8xL|8n)fKWk5fvGD}ja-|42h~;3=1^nPDnGR#Rw*vVkWl; zvzTZS$NUlYCt57NLA}%s+|tme5mP-|C^{c))#7G&!_~~!;fC*da7Y?TpKVs})3(`r zBPgom_HKWX(k-iAaI?@8{uOxV_O&vUe!;IJ8^KRLZfk$2QP?id&85(o=u8ciV0ye- zv8;#||I_{7Poj652U1LvrjHM^jcU+&6X=Ghil@)Ej4pk>l@yt0v-@CfcPMEFy+kqz zexFS)!1+f2g1K3dtKb~jDpzCeB?$(hP}BwoGTTR!N!cfuY8auk$~?-f3rR zC6Lg?@Ki4FIGKarM`#e_eKWvSi(r>@;L=F~yTPaiPZfx6Eh9Y^b1NeVh`U*W)$Ns7 zkthpcX(FF=L8O?YPt{;5GGJ68wp$U@2R$h2$P9@Q;8AX0+s!r^g-unfrT!Kh=>ph) z5xJapInjmh`Amu`+Kj_9$E|%iSCxW5knwUZ~(ckR5(rxzO3mo zoms=oQY(;X1vj&`uER+JXVAs>a_9*@_9|V9I<7Rmf=8z3>1KXe=X|IFb~4{|p1xYf zXcfV&Yj5Kh8TM5w*Gnk>MludOFBxDnXCKB?Hzk4>63nho!zGpx?;}cHW{BFGGd6`p zZ^mo0cG;RMyr_Q{(|#5d2yq5~>|!GC)cem1d(8-|78fVNpMG8|I=ssB z#doD6=HdOd{nK}mLi~{rX)E6(*E?^-cyME^a0dx_-n&QtQ#StJoK!?R;N0$$^IT9m zDhu!@Kli;LhK~3l2WEELex49bj)#P*H+E_~Ec%e8xdP89F{Y=teMVoq(VfjS&S&Nv zR_;?h2@;0;M+PGm)Up9#1z9TlBL-*muf_`lo0A1bNM3u$uOo7jvW zA|hoOfP0Gkw#NKwTQ3guQwr~{fFApf!L$2MpA=}A0I9I(dgvnoxSnvnp}pxD0{dh^ zZMMN8P_IA{jg$L8Tlp(a+`bX_DGKN%4~zN z=6qXD=u(aiM<6ix>McCZAu>NG$hnM|r6CLQ{3xW2%?##eMzb9|?M1)^6hS+h;IBv0 z+jE2DQ#UU?*%U6*isFBZ5-bX)J!hJR{dtlEKb?*eY23ahPU{}Z#;9vD;t+Wg4V3j& z54y~-`{L0TBkX^zvf{zR?v#@J=a^8k$><>grU~mWo|R69)RqpveEEEZ#CVUt^G{FK z-Zw#7)v^96`GcI3n&%n-PkqE{RvTf6YfeN!z@nz{(nBXyXQXk4V}Y`o#EZKHZg7z1LdiE*3slCDGj2z!8#l2^tyJ?@$^54(*tI zc37EL#4+1T`D^npPLxH0}th{Px zTok~%nniIvE@yh$y3#u5+o`2ISRXBB=1b) zjnzhvpV%>0H8o!95ubk9VJ{990GWaEOg#o>8S`(Sl2=BTimFi*WJ~Yemwq0Q-h#^J zJ!JUO+Z<3=mPI?9r9$MHtugU`Qo75>Gz{~NkEud{PK0tSD^_eeTKEtW~$UJP??GHM>2|JuLX z!KQe{yL|jNw9m(Ioxt>viF^8a`H9!6R_0Zht9Crt?*^+gjJP3<@>+d_)*T zk*H(t_xgNfT*{tn2U>NvbgOD3beGwV*!dvm3(~gWlBrtin4cAUI)H%Ov&o~xKI%!H z-TxYWC&3HMyqAeuQnT6$YOX~DBxMQeoRb;TVq6MyIQvgQ<)Jy>X7jaa?@!w&cs$AY ziJ%lN8Fj(VxGGB1SX5Ywi%F`*<^2nvF5!#YrU%(85=NfXBidCNnwcnHn7;2asC$u0 z-f&@F&_bBwjazcqTgX|NFKb)OV4ajAr`m4B^nDFS&YL`Mt+J|k7C~9&HSYmQ<%!!+ z)vt77Z`ppLb43@%ads;osctmnYodHmycSGoVcH# z+X1zx2pKBmS3W_xtthd3G7%k^GKUbhU+miWp@aXdl{o!*^(Lh!gpao$q*Rw~a-45nkA0A>C*el@Pu@fOrsm z!Y`e4RaUK^urdC@@@b{<57mf7??Xce_{L4+H=5P-_N;x}te)EL@c#^Zo#D3I>9F$i zThfv~?I>+<1FyA+xN;4))hx$}+}RnVX8cyb{X}bfFO@Xt-#;f7+F5S7E!hQ}xLkm# z?G8A(`%zpXYEIj*}XiaZFfRMs1Ma7a%-7W(e@9>%pULrm4? zXg9@)KRsB^cg)1h%Hvz!q7XxZ>08N*8$QSh4--<4ffC#Gy?$pT$77+X?M3~uM?#Z- zB&{Am7C45LB9}W3s`mWt&&@BpAnp*6NQEUQpcDl0INl&Ry6^uVKynhniF&teDQv0O|{}{_RdGyBg>Ur%Rqj-T@{i_&y^4O3_(=H;;V-bLG+D&1ro* zFyZ-Tf$Y%FY6p2;^_ zgW~_dSC9IbP7-rylWe9=r#;2uis0x0_<&xw+4GxDplr*LHb=ARO7=c8UBaZ-Kjz`j z(4&qF)yWl4p{9OBe)zYVK3L+K-xoYjxCBJsLAfU1%B(NBl26>)?&teMrz=NlCUaMFv+HJj+HMkKyi-@;A4rWMn_we;f?M?AFc|7(nPGC}4c83{eI~jkbFV%r#zI!_LguQRIJ$B=_ zG+5bDHnIFnc!Mz1-@P&8m8Q;96@Dvzuzx8!BbwAM^gRQpsY z*`BzV$=UW8nl<2az$qo1XEuL>4Nsq6@-pSC3n;Ml{l}bk4u9aoy%4e$D2lRHe>Y@q$yfpZo>kZO=M-F282^(#0 z!qIP$5+!v?>o@c znvysqI6j8j=zYKNtd|-co!G)B+4$gPB@~}UH)F7CD=K|_&w@eOmQ!ONw?DERpNb=vh7seXN!73*@_69cRh6Wx2iDJif>dhgnvR zt-fh4THnk>3R+o63nn&w+!pEVqJ&=H!L=O}n2i!o&8uqd(mAz#TLTc^ZmYl>c4YnO zkEZxXOy(6Z@^_^6(f=ZfHau3IJLT5DJ|I$GR~GB+hC}Y&n_f!xoA0)Ce3`t}exTy@ zuf`xU9T(gAq-ugt;&{zm5}Bie`tt>6qF!nVA?L3K?yp?l>(;0*mU`_?2?pOmzO<7; ze63vnt=e#Sfc#tzGwrl&x*}k#ZzbDM*q=WWnP4yBSh zahYy#A86UxXadBr;%n9>$42wddNJ$Qu=>o6IwY5W$3jmVpcpso{evS0^cy2Gh@=kl zT@f)tpP+F^V%X(5FK{=Lqr3Hyr5 z0`q#6rG6J5i*ULjXCuNM8!-#D`ng1(| zr}$KA6RzSdf~D=NSH@(IK0Bm&vW;&<@Ajro3*gSPR+=uaGTn+MP%AMQPr78lA;+~a z-b0S1JvF@J3gtn&La%7W zlh=~o8~cj{I}p)*@{SyiF4It zsLeI+Y;z-iW$%K2_>pVNM0?jM#Lz6P`X+v?{cl~TB-X^`o46veXvfnrX*#l-o14-q z3f@;&+}pyxqu%-~^_tFdM$%4HzFu23#IW3O|EQN;>jd-8Mm`CvMs>_9w0 zd{hjw3m%+6FYl)1oOdxj(h!lQu*0GEM#-SHo3dQ!(HIBEQL;&zR>G>&Z~2b+%iUzq z%0gV(pWXwh#{c=P=6dV+Bhn9E-$mR#(@E-9*mbx7*laY-;+Lt<1WKK69o&6&(3R43Yj{5l}@SUyTaZ%5I@CWU(mYJ)C zS*g7l0bUw}R>hr4q0ItVzk%s#D#{ud4j7Q&o9kUiJ=U};Ov1&fRtYCY0q zTTT~{QAO3{m|6v#ZA&q`Aa`Ov=?WDYfO)H#3MHp+xJ>+JqPWv-2*G{UB@2_LrJsu$ z=-O-)E)Q;IX!vY>cJ}3I>(5%IO#}a2u5KNHweGLGV6JoVd#35q^62*J=$b#UZAs7$ zZ2rZ9!W#Gf4r_Q8{ zKl4C8c`PJ(D77`?R;)LkK+vbti_AeVO({-VU*PuWwwtFQMT{R7Yxyhfd15=P|IGR%%8?7~X*r^=0noP!@^%H^ zEhm6YgT(D3?#QsCs!x^>Sd?T;{N-7}FMd?1CrZ3?0`tnGyHL>EkaN1~BuDRBVeWN$ z#`V-9-F5wyB7Swl$S&KgeK!nag#8h(eEeDgov7siX^nRgBHeoNBz#Uxe0L;*-BQ+>Sq3jYKTsX$ zg5I{^&7c%-W17VYGrpJCrP$qd9`W1ZPCfADo~2~whtzyWfrtCpT*76=3f4#rC+qu6 z=6-9Rp9W9jTIFt}^rVFhXv9Nj!{X1p6~i5bgKM&HrBF@Ha( z90cHI)LGXyg?J8po-^cbR)dpp!4?CnZ572FU5cc#{;(&Wr*tp~5qDKm3eq(W@Pd&+ z@HRyLf(m;1Y`ao9mFl}s2(jdNOw27)liNfouBUedfsE!#n7>M%6nF_4b0>ajq?hVF zW&_pqEmbnV@85Ct_seGn!dZ)xWdkK?g#m1WmfeO;KN{hNHGX?0CN&O05?R~yb8?F! z6sya$T!iE;Aqv|NP?e^=tYa65t%d2h)OyZkL`kDaCx=S6#ZAPj z#stG+a}Y$cfZ`H#*V`ArMx5Tv{GT4krj=PsZu?*N?MDUYDOH-4PPq}2`N!SnDlfc; z)a@#lmm}ECy@Qs9pd`NZ z=eZ}8V!p_DIf-AF23eQdciF4j#D6rbKqJMTbC59r&Lc(Ltlq+VyG8E5r252=ql{i< ze1Dbqz9jmgkxyL0hs28c6cF0!T5(R@-FtB>;shBg#XYAq2!abftnl+;zS!^n0e-wc zHcBB42BSu@)>|#t&oN)O8Ty=w^kElxoE?cfyQn+f0N~hEhTt$wZ(O@%*p9EGTUOfET&ke*@F01spY>bbP)^eG9|{U+-V5&`zFC%6-oI$an5y8_RFY}?R9_q=YMbX-p=VEs zLb@g_#3k(C4T-~68l`%ks}g49yJtYoLm$Ta7g**ipRKyRZRg*qY8N-Nw*BVYJsH|O0J7)%+>f1K9Km#Am%=7U z6ldkNGs?$qE-&%Rqe_zJ<_#(|B86BUMQ{ue>0U~F)yg$B%mw8P>nV8Rw0bVF{a~s5 z^*ND?jjt6W={0GRzQD6d^3W&rB@X*sneTrjOclhQ-hA|YmjCJZub-8~Eug=M|#-dyeG`Q^XO-s$@xyu)= zRed|RqQQ@RchU4*m}QDX?1N-a^Fxr`7l8jEHkMV_{%`(b`KUJ)YGjveeFqiJ=bgL+ zeX{>^t7+xsnuIf7X9j8q&Cl!{|I^^D?_z301)h}1?lrYI9J~wP0$-AOLq-QrR&w0W z$33j5vt6fTH23%SWPFcSS~q|Wxhn0wxWS7a9uA%xUQMs;n!SDctgq`Zy;W^>QP^_Q z6^}k7`{&(MeKA|o5Eh(I%JBq#>$BdSGby8%>=@eLTj{CWF*YG_860+~5mBH)^mfoe zEZ2%t;@c_0HwbaUK8DK+yPWhlv6hmYhl|F35-BcX5*>Q#y#DF)Auk$)Wy^-qCCKQl zvWk~*6I-X7SCH9CzyCNVoVI-ZJrP*_D)c{F_~TaLdr9m6UJeg-Yc0I`9#T0KGW?~> zG}D19Iryhfd_gqew2L!QajvAcb@t+4(!S9!^GJDX-Mh%P=B73RylndG_yMnrySF>u zw>mwO>A0~z_e;*MdWp50hN+v65A+3m83v7CA&v8K1~!h^z6hL-j7@-4S)LfrdrRbc zoW+y{EQX`J#E5Dk$}wc%)sW2*>Z&7R$1$;^mBPwOG%^Gf}}68|R}VP7?89m(Mqx+Jvi0keCurjW-xI;p*_u+p1-5{zy$pRkrbl z5|eg?+c0=i<*_~t?h^lg#mUV>cHblCayRogzJJ|T%NB02a}r3;e^mq-+JTqMP&1Py z`lhFQTen&@JzO&~@=eOL43@nRSXRq(bLvF42ykNr$h2U@quXI!L^>sYoa{!DV}K6njHowoi%PJMxTjh4Eiz#*9M8*lV%^j&6xpy zy6-y>OCG6T&QJ33mCI)jS+IhzFNd3%j=ZamZi=(TznkBbIZBs%_FEMi%!ALiDR90o z52aJ~m0^BB=hn`74t0H|$MW(U9ld+V*z+$|a7#FaZTS8Wm#zqG3vgaMbgYH#(jZRu z0GU_9z32}rBMz8ekEYfamZe#a(oYBUtj+nyrKcyzuJ=B1?EVW|WyRRqld+x#c9&0K zHdNO*q6v>HYX7tLW2Cb?rn8Av)N+d#~8O<>HUU7Zdoszkc|w?jG+dEcV=Q z#h^!|ubvICWtq=Bh`Qqa_W^XrM(2ve^MrL~jK81uCOdDNMr-u_aX#c#{qcw|kYT#J zVuO=X4AZOFG~_Qe&)VaCYFF6fu8#RTGpoH!7u*kje>d$>vOMHrR3AQ%^Dk#iUY4cq z&a}4(DU&&5W<9gBdfXl&kAACa!Jjpf$wFYdHo<{6osvyt?}sw&tiAK1OgS7T7%ZhfDubRZk4~5%9PR%Y)Isc% zn^s+k)6I2QIo(W)S9(#LN|YUk%mQ-rwyYeN2)-o+qWqG4&f6siAT1e(Pn##F#!bzp z-0PLC`N8;%s&49Z?+N}@()|+OzvKEB#wnNA>U;r4tJ|8?caJ!B_WMn@q`iM}+M!1| zeCCkPc;9yOxY07iufdAMA}=)i_YWsY|b-}X?xtSck55epdPpBZKHQnk9lJuk%7x9 zC1z}=+Fp#gd{dWR4rg~i z29^K3TYpC;u~j&7YFDdW79n-vmu7?8#u2{;yg$}=&8t608lkDJX`5WCo7>;!$>1Jv zy)$W%%^9B_GtcEV*gIuq?KB%1%Wz2939i{$kdUP5Y_aPVBCh}UOJsZWQL%1Z9jLL) zBH9nsb**A^+?89UIgQ=|_O&LZa^|y+=BC9KsQs$z>bUrX z3;xmjVo$H|Zh*Gin?J~lz0u@D7uU|`oY(IDpYWf|_F|G1BHxERs~xj6{WXChVOz*F zqpI6?3?Iw)sCQ8lE8x_G_k>8Eqz<4qE&? zi3)apJ3!uHw6ni{(-+5Fx{RBm<;MD7!#rhq?|2or$@|tnFDp^T-i(i#W!L6|gUg~v z&EtcIG5ClOpb-^QAb)AWsZ|?}6Y54XsyHvJ%5~f2(SykNRyi!s>2+|lCZ|A}{7$`t zK{`p?<7#DEI{CRNcbimL2X{8Bx5AH2rL8a3ajQR8I>~0gD!87uqYpPaEr``rR6jN= zlV^pDz1ZRp456T}jraxQw!=YMcTpskiV!b;bZEoT@qMuQkk)krNWPs`YHd<$cKmqB z#)Hr9)nh?VIW`Y&>En?U*OhT|kqS8ZmlT+HyU?_EAZ32Cl*WFC!`1bE+iF7S&N`jBScwZ=Cfp zJ!6ouGQriG-<_IgbJ|ZIK60v|Yw{`zFbyT{Xbl;aKuL6Wg7C&9A*Yt0mnJO2cy=tjKS+zyz&zY3>9^0hmTRST-upp>A~|mgTh=Nh zj0-(hHGRh5`|lpF@=Moo`%H083&79i_3O=W+jtc*y74aQChBB5!Z)!uC*1?|$?pas zgkSU5*4xe}x#-j{U%~QJ&kvVvSx%|9k!$yrGg}V3X+^jWH_GBYu4`; zoXe{T9^h;4TD2iLu}P3@a^dpMg7tWxhmRWuohT!P0l`xT|NLsc0)jD+RUt;Y;2K#- zTN}-8xRSoZwXdmY^G9gH51vVx8Ywj$8>|D?f=x5_D%iT*mO%LO`|%#$jfay4iF&Ao(ulsEcKxML^P5!PRkRa{Se z5=bja{8}#!x%_eZS7*7vzTGx~Ojv6}ys%9eZS=qE-n;ByK*M&=LFrtubEp(PwN$Kg zo2_v89Zvbzx=*hVq+!#f$UXK^eE8mik3Jz&i$805gmG;Hd(FE^#N&7cxlHbL{RQi5 z&e@oyL&blcn4 zdd_+1Y@xX0e?aHND}TwOn?7xlwYW{RL&oNr1`xXUzeVQcEtu|K-ng>iLG!X?RLBH` z9{1Z^wA|mYYG5pO|KlA`Pqp&2*RAp=k1{Ph;P}SfX7v?A zIsNXvV(7>ImEc0-O<`obD=NIedBx!R#^xd8bs3?7M`K#UgC>7eIzQkX?V~g_K#h;2 zF2A~5bf>^SG3MmSk3OluO8<3=T@B|l8lBFXA35^n-tYsrrrIShYKi?l6OSouQQQj} zPA!c`0KnCHC7v3TBLlUsE>62a9wozE1h?|o1j$otX0~%dSR1nBAPzPMGJ~=4PVlp99XNo5dVX*Kmt_tg@OIdq_ zVANv<%XxxNaprma(_ss@sYu?q?}E(Wl=@$#1;eLEuV2C6uij6oIX%A|dy;3&&T#h1 zaC_}u#_F4|@9Q>k?-ccUBxP@D9 zW^X{(uMuh!;S;PwM}*r4H5n4)M7k2iSK)OVstF0V8+5PBja`@9U9iM8w)Pc znlD-!F0K`r{_$jBV#YVf_AV?)u%A}j-*(yKp=Yp*z-5sdScE~Uj*t8^g{ChNX+0C7 zp>=x)p?Ykw7GqS-cu6GOCN**NjEr%=ZS}W_#-NsTQXP&XqqxoOjpThPP+)whq!a~? z$I>-skshqF{Z+IyK_%MAa9jn-hew%L=>?0lQ$@PVaU#72k*)#jpOiUNr3ftn5jU`O z#UgaDYIQ4GW-R?>oD*NBAl(#2OpA!q@x6oj+S35ujYjz+N4^t6Z+fc%l6XWO!3d;B zks0j~k%~Y>I!LWu60^MjIjlHn#@Frgv+QNv_F;WemEeRiFMkE{yb{x)dtB`o)?A5k zlS0;+`Ric?)Srz?=eQVodIofg`Zflv8Ixr{zJ6&8yKk6|$ka+3BuvGa45X)~c;p;| zyb|!W&F69s({XS}T?q5XoQ5IDj|DnF&nyE5v(D`(Gzv4w(8tG8pX*^-w@ zJ|O=M+2v7hQ|HHuwf3TrJGfAdoMn&by_{@L*!dKj?2HF__})2P3lSRNlY|Ov8i+Vv zss->!R}`8Ongp{OqGN)?SV7^XT3sx?UVZ`D()2qOCqaFVkXwTqOgiT%LYD3sVT)*}B2}(i#vD#iAJ8 z)v8wLrt&qpbL2&y&Z1mzQBHESHi=2H(N$2Q`Pe3z_FthkZ%(r!Nb?<2^ADAh%F=D! zNb1Uk^5#gr3O(_hRS=691wwQAx)Cf=1jxsEPQQ(XkLBx{u}CQ(orpQg4=uBAD%3U* z@%3lIGWoSDbWq_qD*iZW+igN!pQVJCQg`^rFtQr4_MgC0P4K4p6n|q;4vV32cge~` z<{86YQ076@g;zV1zp7Hjb&EHS++Ywffoe_kl6b&r8Sq_rS(opd0+{zjn(xQJ3wdq3 zj`jPB8v?0dW6t>?(kK6^R^-K4PIGWd)~HDr)WvJ*>_Pzts^oYX2l~s?5yki>sa`wC zV1l}L0w5*Mk;cF1h-5mm8+OQpQfx-FzPFj#2U2}m&@MSBkfqO+;uh5JdTRD8Q(p|| zafLW8po5X=&N9(i3QC#^w;5#LyzhzCJrv@irhHHz0LXyi!(oNiq7c3uAtEYOT0EIn zgEnc@LH7ZVa7?Jp*2ZR0C0qb#lj)|&^%8i{HkKZq>bAgyPB8VhG099G^soqSwTgI? zsk?^-ir9~yl4~2&;8Or;Tu4k|kt%RREf$fjO-vN&vRC2N)ZYhkEhflUahY<4hN+>E zW|Q3?%L&0#Yr9mG=0*1j#hNd$n8+q~WqN$UMcXbw^H*w&7mvCupx%hdbd75Qe*xB< zCsUF<0RcbAny;_LE?RKG*Udr{GMyyDh( zHFzf1yrY}d2yVb48GOI>S2?+;ex;OcI zt>->$1L+yB*3bKt?)=iFIvrU4shjop({f%NU(1VHKBsL`mN{n9H&KK`lwSG`TQi0{ zVsCTg@MvtYC^p>6L_aQO)4Su#@96$KST$hVq;^_~kdJvC6LYBF=~Ef-6&x>f`d+g` zn|?)RL^Q!ir8&Nv+84s4qet3Dv&ss76tRD4t(yqD(|Tq6KwbOGF^(ZPV0NVJQG~)&|rCf;>~75RE)b1+-YYfQlGQ(>?%bulr7B zO4s?J4ZCPs%g0puKNPxOKv+Bo@B!dVsYa>{5(UzRg8;lrzZZaHQ9&iw^>r zdOuj&@HwCi1Z*E-Bbm*l}1JZCzh$i zwmGy|fyMB(BB)y3B8{7TAc{}&0)U$`T|5iQQxFgENIjy;eSF;EIiQOVj-pWjq1F|E ztR>gQioU%}&-k{{&7z6#(#=~04$Y>Ga9Pi7IUF647zt}okEj9noBLf*7koD6z zacWck-{@NfaoX7pe#gG;%xqs-@{!#lC-ln_&)DXEUD%`LAu(%&tN^Vy#6$PdkH;;K@Gn<}?~)*iNB#qC$7Jjl9iDP=WvjiHOI9crHj2 zF2f%amS3LJwqRB1^0f@8=y@LC3Sa;!u3K-zRUsserDaPc9hMWnP|<2UTOuE7d+5`z zQ2o?74TJ*rj7qfNLt^h?v}h~#fFNoa*-WmvO+`e^X#h-|jY?yW49IwhJ`BRm17MP< zQbPtg#w4>>0aO(%LPc?-Q*ex?<(e~ zWb&F6BnS+qf+AGJC=ux!^^m@Zq6H$h^L8I{yfGxl{-Gkoa!m?ACLhvvV^(SJxB5u} zdxa`~3UNQKz!G@4G@kZhec-hmf|;X4{G;*hlo3^~u}umV3$>O2@Q*9lXm!^h(}j!l z4=X-AprW5K(bHcvN_Bx!8GcG-^AylXRD9Srhs|K>Q9wr>qV{c8=_b;M>w@$TsB|eT zyC6WT%@A-+D2Y5)ujq?;nO+`RW%yb3 z%|53=)dN&a#B7_!VcrTy-k0lA?e_mPLXMYw0>I>xvUK_9*&;~WlMfU*)<7G!EL7;W zZioC;kvf?qfTw*#@wp2`7SlkkM%3n4ESNCVdM|(ncYjaU0z%e*X$R!d64@@4u7?YZ z`lLK5VZzPB1k{jG{D_mwh|6mX*kKzpT5~P9vE@_~dCm&HudFjDgd;N8JRdq)U%a3; zu`b;22rsNP3RwDf|9nYt-qy)#&DdPu#k^YAOxPV%@Svb1aq8t3ov5ctn>X8yzHqV( z`}p{aGsoKIiYnSPxq=>MCD?f$bK*(X6pCLQK9g>hWN*qp>FGi;v+92_Zs{S_ck*Ab zw0b-ky~gLqw4K$34oBnj7r+&$$8q{cr@u{GJ`dZt^Pbrg=g)I3#fJYZ)5l{1QbXF3 zU-WsLTD>bSTEtF0pRWgO>uL6D)&y2FkvbFRgO67F@4g%i5;{{SwQX7I*#YA0?V2Om z7`q|u^_>1;jU2joSo{$ZP zM*0Q<1k{;6olkS5cWG!LFY^Y$H>@UxwL#KOkdbncpQXQV@ux)hm>e_&YD*RRdK5Ca zekQTGns=9ibmD2x0woqWS*IjTGv zzy^cNf$m9!33jm*%PtVWH-#57Qv=M`_m>K3=`$S~KEQ0fKj?v#6ak|yNhT~;2&qcy z<%K!8iRro0rwDXICfcH+ON7{3z}b{<2rN&4#I|-2IRfsf60s&=)4@YkphXZA$O$pt zXF?F%$#dQFd(PYRIUN95t_cbDxlJaEJ%QwecBb_aK*BVp2wu=uU!cdbEROebrv`SjG$C9T$ zHm46nnb6YTO*JXNrrYB^H279v*cRJ<&n97>|Li2|ksL5tmxUNdc%oC9y$)@Y{h>sYOdg%8mGAs<*kqr^~c0EC;E!;ZO zdg;l_Kc)&HiD(1A887&)AlR<0s$^e6WWIKblP&~ zzaSt2X7ip5XDLkPxXAR*gmfvbUV$d^TxrY>lyNsj|B(8~vaGN4~FbWp*7ZuG}Sv`;Pi=Zk4Ic+?k7BVv9~{ zJ=Br`Th}YHjUZ<%X)|X%vyX+X>lI+ zUP`-)t(?Dwhr};bpLfPMb;>lt(qhUlMm92trtc%_f0r3m&x@J>p@{{kAS^>YiD}MU z0lbIv7R3I*gyP6kNuK97xhBmn*9Z_i_XmDzWKq35dYQ#XL%`aOWGKxd$RvacL7>1) z>#+<}aIX?mPW3WC3A6oM+o}sW8MZ~q#b`RT7Q*l{1WB|#Uji5%mwxRY33kUH^$x5A z0SG`@dn*-MH>94Hi9txQ`o5QwZPL;^vJDuVG8LgH zjaxG5*0OEBxpfAh3c1l0NxpUBZ&G=f2+8U830TL@y%BZ33DJ;3oEM)QB!rT`8CwLe z{Q3$T`8vG;Il9b!VcVk2a&}58#O`(Icyr?u!zcH-<>DgYxj{_M`N+^VUP@s&02o}7 z!dAOsA*jkHnopa(Rshn%@NRXR$VC`Xlxk893;ifU8<^(ihE%R4mkTJskI$k51R><7 zZ9hDXDVdG+)Lv-!F--vgMB3Hs2_aY53-NnAa5&zN8`e&Eo!ue@_9ciXajqM8k=wwTU zU0A|>{OA(dfRBtO62D0hI4VZ*)sZ2@uq4|J?Er`LAT@flfNKQskUQ(wAi2JIQc&Ck zgeCD~OxRxgjA}oL5Zn(~nS*u%Hl|7tOv&~~a=mrG*nj|o1VP=@3tAI??zV?N2*FG_ zc#j->5$pC?4qoB8L5Bu<<_vyDLK~|~Rr|__Des$f%mV=2EY*A@h4l}6CsWZ@OXzh> z?13c?stUDvB66ezU|^wp+O;)H0Vqp@Cy69VF{!)~Uo^l3*@VfzJh#Zpl`~@zKAy+KqB3Vw#j>huOnM`lsnWYzM#Lp{<=DGo{vM zmk%^bbl<45w+*I5H)R_)*c@kg#KH-<2dkXF9sHwQmE;p@?`Uw53Nps6_g3he%vI)v z6AN`iy|QD-O&Z-UxIHo2!EB69np;jp(;sqQDK&kE82c+6u zRuN088Tb>$lxU7pF({BdL8bXz1?&44^+9 zm*8z|kXySU62~h9;0KmOC=qqV68NILHU#|7Eu_1d?ukD!sK4^`BIrS@hcd%zM1o-7 zHG95m#5($wjSP~-0M>oX4u4b0h>*d&=Lkqu=%vyiX&uI3U_FhsKj@YA58K$yL(m2l z$y!1>&<+06M>Fz59>!JlO=!+UYi^H6>z8Jyy_MPBKY4s)hj3Ug&O7t;&|{pENF*B^P*rM`>gtXi#jaO%n@Yg3(*gF znt51sUOQris^&tXwvFzl=U@5matK=ea>S}zb%Y)k0_SQR<7%v4f_KVMXo*(VB)Th6 z^O;&4t@eM;!`NhU4^s&m^_T}(w6q;Cp&mb=!W>{i&O^|{Wgw^>V!JK!csu$;J9=~b zw!0E^D^{aYfd*Hl zocJr1osLF1A?s{^E~kH(XYc=v`!{``$F+U#b{1B@ajPCPrXcvS6REfCf-0_st{Dn4 zXza8ejGwgMWL<8(laC2hXCDD$SPQ4%*#M-v-x9ebdM$ z>ebny!nxozFITnjE0g?5yL?EO=9>CG6aDStu>*tv(b?Q^!f1!>QUCZ+xqB|N`Ano+ zK#b<;ck18OvLF|}{1)y&!`$meR6o}2=yA-#q2ngNn*ebB68IkC)YcA5CD)qD(`;aZ z9sqC?CWI%4LCOk zV{WH+qIU`(V%zyv9W9aRVJWaF^nx+h@K*+L=l88sXHTws>^9yP9h8vk|AxZAhLu;I zyN*XRbSilu=700rVYZvr&uVr{NQ?ofk_V#!*2hL@52=U<_<@)N?OoSwjy7LD^sgSD z6t@kob{l~H6*uK~$0t@a{T5Sh(yAVD@%ENgAJWtI{7KvRxpMFqiuBt3F!uZnU>V-M z)cfCprW#3zW1iDP6Ys-y%6_LS{w34ywM?!B=c!sKJdF!mFyCy=Z70=%f!9KrpzaB9 z(>gohKg}z2b|LWQH?mF65 zAlh*iF(^SFr=pMdB9y$*PX=In4fXIsZhp2*1+g|iOI!uAxKGwQ^iyYjH@NT{+09kC z0=I7Mn_TlhIv)Hq{1RfNqN7M}@?e1NZN=HDrVKj;-dR897S2xUvE21QOxnfQY-|TV z^G1k@qRi7u#&k!e;4 zQ11N({>^<}YMnjgey}VwTm%oB<2!GPxR!t6bfnue73}U7_$pq|AOc^f^s?KpXDP+7 zV2uxH=l{>xoBu=o{r~^7n;A1QV=x$uHOtUoh@!?AjJ3g7vJ|4M8In}$IeYeyWUIy+ zqQ;t}p7y1v5lNzK^;D@BrJm~9^XcRL{R_V5r^n^-!{c!-=YBuua+ce<-oDB-G?GE{ zFi?7ro%5)|OZnTiS=4EO+@}V3WKa2H_HFe{T8%CABNZsx2Un6j_yh0+xemRUhYZh? zeJDXRucPM|&~GI0@ABq_v0c>*J~g4IZWLhSsmQ0&R}=|iyc?D%f!*i8Az_He64{SW z9({fStM7rK(_gMVHY;Ntd(W%iH*_WD1=HdZKC z(V^d)ZGS0fsGh0zzT!S$x++HDI$CJWRkEKCeO5OLSS+}ogmqah{_w5p{P}}UTG)yp zJ6j`M?yDV&pc&QO+ab=|)d^9xT1>{!C+}f9YUr-Yk`U)#GMBL{+ojyl{iQVM32+%)ITvKo&DEFO>I**U^(OLT6*P+%g)1t@9goFAMnAolfJe~YG1B} z7PTL9h4K+6oF8^D&_nF$sk$Ws34_})fd;JL9#^y~`kwpyI#QSiha{pk#V9qh%EGs-_LlwtuC&B-?tQI`0fu$ zak|@ZLq}w0*q0hMdUDb`^it&6eB~T7m9WQ??{7@bKbvHYO(y@{eqdyARZ2VVM(EgB zx>Qno-nF>So>cc0jxX=stJV7X%GAD#NH+{NTOu0*klVE}*U6M^UsnfI#3QxwJJ#)6 z-(`Df@qwNh-(y`;tE1GUxev`^k z|H8iA28c)32Bo$}$77&Zq9@ONPda|qPFMlOO-sSEl3?NEe6Ul;^J+4`v$r zIO$=!7W<@421tv}mcMRdoi-rfICo)mOR!*VylVop$=D z$9yJw|9dm;qh@o}v4{HxGgk{MzIp8Xm}?`Hi}YKsRnsqC9a0SzeK?Lc&QuW=D7x>+ zPhk%?hLFa#u~j*WPHhr&Sf0bvPDLmCW&%EckegPl&&HLYkE*G~{8Y{b$`j zcMxCJ80499e-LxvDJSwuLf3{UfSoj|mm5u$IN}o?Q>iMm2SVu`A3`S+p8fjx$)t1f zKefmqwLM)1*2&DBj1&kmzZRlb?y+ZHP>uSX^&Nn zz$dSlrbawJW&VWp+6v2v&$Fo!?DnY8PWYdD^Rpe|WAO8MN+ZAMY9RISYH31D{_$Oh zm14AV17oO>`KB62qqJCUqdB=w%n76-1$!T6nXo!S0QhuQ^h|4!WyB!XkqQakwG?nk z-@9NCT5k8q#qOI(;G$br82G~W8`0b!hKdE%y*mY1SO1~74 zHS~U0PB*B+`?C*U(3NUvl*%0VszNvo^S|!Q+Hv;~=ON0zT@NR(DPFc_@~|vuX&cc; zqY~m=T}8Z`I!^mBvV>f-*O3UBj*8&diJmK#sySZxlPs^?(1INQ&= zaF?PeZ^Rw>8}CqGO&o2VE1 z0W%n!tkgY(MtRBFrbly*0PT%Cn=eIh!cU!(IGApuCibc4*(<&TP!V4{K|yShskyXEZ|l$gvO0PPH-ovn7=dKjxYl_^ejRFa1a!KrSpghEg&)q zN;dLxljc;SA30pYuz)Dv?C?`B*-jB_c?S~GK=|LmLx1&fO)Vv14&qHa{>jG)^aI1me`@3 zP##RH!h~`8b5)V3x`t?&bn^810pb}Y^+)P0kfl_J65+PheY+OSuo!GAEiAB44pTl? z2O+hYrw7hy>0RUiD8Z5}R&s^B;RH_`r6mZFge$d+tJOL|JNpm%n`7rRlqe(LJ5+O?4ji(Uj-1yJR7lniPu6T%=;wg0{muq+eE z3rrR7+EG^QJ=ZKxoYGQh?ctIdfnCOcVZpy<$mcsDC4@wT*So$z`=mfWvxmnQ^23HZ zj%jQ*X4}R2J@ei56TWY~B;9Fj$noSrInH$ymrXXt88#CWm>6XbvdDag&FUh1Y=3{} zr{X51<9Ahtt%LhZ2^U;vJg=4J9Da~*IG|On=Q4fy?(v|@Gk&j#KR0rNRCV8qYd#(P z$4gCd-D{SkUOlO?jG3R|BfTp#Tz7mBWbY5`YHOCaPS(Pbimmo=^07hqCFQ$}467)w zEU0$)_8`C=u_vb2i2l3JXSI!v`axVq4fd%lL7f#w9)LX3!nGXO0Kh6UD}?-R*HxxK z4**pj^D}(99hBz{-mGF2+d5Oh6VL= zsAQ&0mtXQ??=_Wdiv3V(R=HIG0G?#AF5e~1-201}1r<-q zg8_eoE+nQ4yR}t%dH}a+${IHM9oBtOU_E!;j|BT$$2{6{y_fq~G}?>tb(>wgPCeAn zeDs&C<67$&C8`8Z!VM`owY7QDf(|;Sq3$iQp|3dCniry=iJ2Lk{CEqJIZhPsCXolt8XE5DdS#$l3YNj4xNqA zs$RiVvxgq`<|iCW1}m2uBDG9D@Raj)N@AK|vlB*PeMSmi-?5rF9$J7Fz-DR~bXY&uS;Fa9WNW*5pWvkd-A0)eeE;Q^& zY*L7oabmuy+tpfL(JdpH(t8Or0@rk?(iY4?!VzwZVRAipUC9~%BGiEcWOa&W!!!Bi zLLpU<0FVhX%TbZ%9>w#ssvwbh<-hKWTvK6E8z^o8b|aMQHF6Uj1PP9U`gRKJh(o)n zP&bLlLV|K$7in^Mh3i?2I$<1Dh^Z51f&hD%5HcCSra%(2xk7m$lmqbS;=58IO&lE_40eb<~!#o9Rr*#>_54n|aJAzHVd^2c;NxG?hx%OP~uT`-X-C{je?u%6J zAI`3Z%zk?w`fssZ&-tw1b-DNOR|y+v3F`9o3jQ$zEEO^+(SQoqwTBRd=LW0_ix#ft6e_qeMTX)#u2e8<1bULJ zH&OD8=KxJe7h10h6K0_B1t@A28k;V3wFWnhK%Ma@vsEe`fIN&BMAQiiSE{ybZburKC%=h0o$WzD;apAD3>T*-fKn|XVq?T*&qBdm_fsH&p5TD#WMz}uFy z*=hk-9_p2hkMS(tq{>PgaSK1~CG-xlx#Msyi; z&q)H?c}BANPOCf=^_C+590m{_ohc8LA4LKHz#O4)WGBls00w~3SNg0v-jQtvFIxKS zSRd4QW;YAY!{@ye77H{}g?@DcA4Z0M9xN2FH((XSwiqEuh6@*f7E&pO2?>_KBI|^H z0ClHTR49iJdIuA|E8lsO04F9$zP!E#_M?nFMI;aw}{m@f7Wep*0A3@bFJsxX0{$2sN!Sm3jW0_;#BFG zy%wIKIwv;JxDljo53fo)`KRcKY8w~p8E+k^_9ab4AZ zBfpW-@xbdLc9oWTE^5KcWoiv_h^$Q<(A7W5sIAO%U@{(6My}rBe{N029YS zC}Jq!+Z_##P?M?-7~uyJsq{LVg|j<3YzClmOCckGUqTrcZ2t@|1FFe(+c_1X1aFBH z>jVZ2L@1jEU;wsx+(0%N5Cw_f0{Tib-8f*O4~$;N&(K>)kV?6ILM1Xk&H!>!nu(R? zQtBY=fOIp-0nkO^z9=hs2paDwFlF+E`0K~(pi$!@c8MT_%#SAvq8W$;_%l>Dq}ovk z?-Xe+@P+b9@ENekQD|r&TG?KK-7P25RzW+_hA@S8VsMibSltdWVH+*fX|<4^klpsz zX|>A7xb1rwRG?CFe^c%&aVjqA^54ZqHpg25T&2Gav`aQDOc*M=G8?MS1uaXjw0;$h zOzr&|!XY!x~(4acuzJT;FGXE%CbPWd#fQxp~q5oV(1aEOInHhFW zjxY~!z77J}j=c)5hdNWC`v9UwDJ*P66c48XQiZ6`!hkJN0#lF>1$OCzAXlNAOW>wd zfhk9D=ZVN{og3}ebR-?DIwEpw0jT`TwOa)>iFtcFp@Tc75XC~xV#tYge&7gH3Vam= z7e`0+1ag3}3~0ktC?5vg#}t~5fU$&J%(}^+TSCnleXZNVOc-Y_RL;pGcT5&2u7r?d z_%1;nto+HL&-mt~+`qQO_>XSCMjD;#8a{KBK1W?1xB$8N(}A*(YyWN6fH88fA}q3# z_nQGpi#owL-!?MIN;42X9{Xf&T=DEdev@Y-)7Il|NyMF3^rx*6x4kOjRxxh)r;gh( zYNSLpyUcgkyfWgb$0j3~`0GK}biv#6q?tBI+fS%DgLl0J@*;@mTD;TbLZ5Y!D?`Ce za>F%hvEhr0&OG=ySww)(dJ0a#|Cl;sMaY*nt z1W@%^sDt8ZZUHS;yTT>>Kq-K`0`rq*(m6wZV&V^?_|V(zV4p^2Krlu7{P2?=7s zha=9$>wLT74(DP}(1Oqo5XRS6_~r=uisVSJ7h;Jm9sr2$TWk7NiBMR8|fxZSwb&I**y8PPo5$MB@p+NQfuF6 zLG{;RK@wYI;;xSVl94a&cr!~y!^Y<(FFbyzDu$CLw0ZME)vwkZM~&iNx9jMbu|nsM zT{Ei;ix({X-t@0hlMaE_wLorUHSN$DVcn8sZV|H9F8ON?^%=Muq}~ zpY99U{2gk1N|jK0HtD~5&faDLKs)rGiA<}_%LMym^GBjnRL(7zCodoltotQaMLJK% z%C;E}f288Sv*Y(4+ht2A|8v=>F9O|?9kjiQHljXwDv#-rqv%WT8HE~qGeE(ilokok z*+eT_t72fbloeTpQEhCzqw20dzRZM4f2|#Dt#UN#aM^>MEJ|L0V8^gBZ);-vNR?e0 ze%ti`KQJMl`CT|ukEO!g$W9yeY8%JIj;WBiSOJ!tAIn_&?=Tl-2}5>*#!J-CJR=yb zLK9L2LWv-}4t&jWL|BXXdEsvx3=p%;P`B|ULVx{`o`u?tEWL;D6Y$()+7fs)B_ZJV z@+gek`{n(BJeDpB6LX_ET>BC3$URN|fg1r)bq5&Dt%}!oW-=FE9ofMxr2Yv$S^Z;t zLbP`QCLi@Qrw4AtZ1MZ4=|t=k`My?j5h&OT6d8YPCV-#Kq&_2B+|rb@$nyDi^jFQU zT*J{;Ep7K7#BZI968eRm6KpvoMsy399-9?cQI+%#*=6OY6nJ0sbV@PO{n3TnyxUOI z;Ih)>V@o+1O;$U$QEJgGy8FU(9IEN}mTKI>j3XZ5M7i%W<@+L#RjlLshi+Kbiw!H# zSypZVg&KprcT>&Bm^I#Z(C^y~zPCJ%+R^y$F*Desy_FSw(WiQUzxHOk7r2HRAGg1- zUT%;Wq0fk`)F&31ZxZyz718=WC(|UeIy|1&i=5gU%+L04dl{jC^L{Bnw>mw3t$$)6 zyP|bE2WJGRD_+QSe>^LRwa7BVR-p3DogNovFm&B7!zr&?URc$TCfavp*ZG zC_X@!na`A2_Sf7AY4wiDG;y61mUy3k9k_@2glzI@5E=Z7kdi$Z_)Xup;o!p|xV`YB zszL04Ru)OTBFRu`9w|Vo{j|IC1pa0r#l!020yE3BzJgZldTz~X&Nx~6{*Vo_OEo$LRFU->*)}G zx()JdExBM^XDPY8hW)CT7O6I)@;-;mINnMNeFHx}h#U;&1}Jz0T)~)LTYQdDARew5 zb7A2&cVE@@ik@^Ag5Etxni|GTdKPX*?9w)#QD9XLM)-idJ+=6Qway`mihkZzXM;y}0^!{tczjcRI<1VkM-rFNfuqWHT5I9SJBX^gCpt_d;h_+&W^JnVmO5jwgCQ zE^oHxXJ8(3_*s@7GeAcr8Uz000jFsSc0#RxfDpF(n4;EV@@2 z_>7&*SSzaBPW=6~Px~8 zX&WP#_rxDDrNr6~SL*8-_ zj+rk3=59hBbzJ}KERV{Zjic!rQP?i06fXI1y{~aLaMNV_N*qnGl#L121uFOV%sJng=;=6}s~4cdsz5qjk(wCg#(-T3 z6J972^?twdF1_`0e?4G@*|QGiXZn#6QNAHsq@l7G#w@7PVar3NQ|I-~&(#=4J1NNC z!%pw{{uQ1hbVNZS3Nb} z8{-QYbw_$)jJC?EWg{jl zA!E(Vh66&|4>!Z%Wm@ZrGs33uW9UI&#_-WN6FV6_i|s z^HF5|^*lv^Hwf_(y1G=-&SMKZv8}DQuiq(uemnMy9P80$h_9gL+O4{VgrW0vbBAi% z_cqT=rdxe2eQ(>vzWHh}H2A`-^o+JexD262(qNgb^`|u+h+C)w8TOdLy-7SobJR@> zkr(WO5U0G-cvH74EXNzQ%z^0&`$K8aI;E)?!^*x_!AUt*5Z3me+3Fq&MV2T_dlW>; zaT=i$Ds&78Bd0SkI!gAy69c_wKRy+WCb7-^1dA$vgdWCT8p#Z9T-@~xUukptBiyWd zN$FlE*r0Yn{%srZuy8~4$*Jk-2|y?`6+D2o@p_Hlo_VZ%S)k-p4K8PGZu zxdt>V2npsykgs}7C}#)`cWi7m_KldoqN!bJN1ux~YR)jv1i614hZ>%psPSzGzk29{ zt6~5C_c}9X#^(%9o$d6^valF5bldvKdX#yb{jT7H6LXNn+m0nOx-4#eSLwajOcXjk zO3bxtW2-vN(D%}La>jX}%CapbgL17qim5s}xxzgPM`**;?i{gP^>XP?HAAJdRY(HF zS?1QVwe4B3=J$2ET+n1_&=_4s#T{fkbL=1!53gYY1}RAuf{;26nsgqvJ0hRAe}=O7 zgza?T{6@CR8V{Xo%_sG_A(ZB`a8H?ZwSebV8kczmwZ!~uTkm!oNe476TA&BCYkj$O z_0RrQ|7G2WXu#`7@-+GVFrKTD{ z@shb3alMpS5X)M;@w|hUz2nI?VSP-M$%dKwNvXzBEuOy{X{pZ}?k)N!J@SsnU5+jf z`M}db?20cw2c5{twIvV%nP4OA`C-Sp0L(Yf*mw6%{Eap zpgALfDN=yl98mGr$_OCw+QJ$@)&c!Pc7d~Gq~L5uxXPsqIRoxY&>g$%m&wi##;IfX z2V87Dde@ZC#1UbKfvX$J)#$|t990y% zI0^^mL+lx6rH)YrGiR^98ugk*XUr-FdW_Lgee|f$kk_b8qj*2~mP0c^`L6u6Tbs{W zaE;o{+;`*9fM8cd_9C7J_0M)RpXfKE^ldT}ZnvuvT(3x2P~=pB6?IT&#P?N5q2k!6 zzB|9!gWrzlTj<&w=0W;&d!5n*CJ|5CnNC>1TL)5+!^CJe3wS`+6>RTIOrAJN-jUG` zz7RaqU+JOX!b#OZimcvf7S~d;v^&hx*myKG3|9sc;(+=F* z?B0hNQJpF5Yo?K+q!hy3w(g3vX<9!L?sqyCP4A7ly3~(fx?D7|@syRLLX1odR39Ol~*cp5RLxD~A7Z$9?Xvuu1 z!W;jVzxibiR;UvwCiBgLWlxtoeH%pJlKT%L3rzq4i&5D1__;Ln)Vi7cO?EE%x4=WU z4;jF}zr&7+1MTp?@{9uojsg5lkDJk(HRlFLJd+(rn;?C8j4_o9Br{dcC|LJ2dfE)iokWF?ckf5b&2}WjEgG(%QhoIfja@z`Tv?%#>Np z0V%pxub%dn1x%mzEed5|F~^mTb8}tsrPXx>Q5AA70?uTQ*Cld>>zBu_FgL5SVYR>; zO318RuU<430@Mk7)sE1wo7IQBpEa>2)m$g}M<#!Wse9C+?=3+-v?q?uH=F=V6i(k~ zJ>d3-#XcK+wn@Oi?w{|h?F%j2xB+8wimCm6&k;_nUM;18H54u=SI76eK;a`$FKXc4 z*siX33Z|Wv-GDOV6mW`Nbb(y|k3^?^&3)!G&xq9CJ++tqW%QZKFZaHfl5aos4+(4_ z<-nRjyQ@LHC3xdJo-4<%IQx);b=Xtj;G?M*ifl~&)d9CC^Z`n4sgwwNF_)7E$&w$l zGz~DE>Ze+(lp+-P#| zD_?b0aX*;?{1^$*w?AxBIe$|^xLWRgLNDxf$&qAj? zl-`Ru6U&7`1r58p@^gY!ex!aueDpcQ*&s0XSm^}4uqK_t~TIno(`IIRI@L*R!JwdimbSbyJB=FXmn^%i(yQVWVKo{1 zrk5|idqRa?KR7l%qb)wDO$#@ik013-&KWw@B-Lv z-ZYe=`j;hiDgdDM69Pa2wgDu-PU!=h0xv;85CKnMOLHIS8z5+tBElo8E2~$QR!HWy zI4sWHJGii*FgYo?t)*@1`4mZ?wE1<@*2qU?z9oyrf8jBJ1Z_-(t- zT~|XlI55uLHMqRAG3{J-ch}h5o3)4|5d^F*oyKB$M?hc@fk-egG}Tz!xbl9JphPGy zDo;yEo0?uB8Id-BY})R#C1?-|a|?q5gWX--8}BqGpG+QmI=A-acebcdSA)dzWHr{d zl^0c~r3eah%ac#0>FVpE}zyJFUf#DkObnEI&1sAgi9*wQMS)7ie)%1-L#c+L1fpz`5oPoL!bB(h zUzj4?U0IEH+UDM@WQ)pmH7G34;KthS@}kDHlg1CGU40V8$`&PuqnOg^2UrB9 z|1YusFS-B!7Wg*c;aOw7Jdp_xEQ2-n{YbPI>7TUM`HmjCm#O?GCMY0AwK>a4d_m`G z1Fkt5wYTB-P*Wr$Q!znB%kks%Uf^6oA_#T~Q0}5zN|{hHR=O47e9=hH9#o*~S>9&p zQq+jpecEo3U^5hLR1ncxs_T1h1zzBJC~vIN#X`1?M5!r{n90Z6c-z=`EFl{krYfDm zYU*i_=vV#29Y&sMjm^u$d1`wz9FxCJ^f@21wC{`eDK5|i%f48hJio77pjj?3E@^pi4rdj}K; zlEE?v72|#pc2YWK6gQDU6whzf2CpQu9_!TPRRIjI6Sa)}eL_lJMKXNPtL)xI$d3=t zGMqL!_V(my_sG(a*eNfc@ugL|)u?sW)o}YHx;amtk5X)6c{>|)e)bzBJlJ?2q`m}y ziBio^&F>B4l zv4rS!QN4@jZu;XPQ_R**ue@oj@*eAwd>@5%G<+%f%`+y!7({i=lW9kJ$>lnk?4F#? zC%sm0uL_CgJikd3^KoxM;Ae!kUpPlkFD8cOGKh|KI?6|x^T(XCv#)DyhY75fD;j&8 zbT&Rrcvv15OfYhLA|{HJ$D!{jG)ot}OpTz?m%*!7} z4nz<4gw0VtP z3R(N5?L+9}Q%B>&E^+^GCk0-;$%w4-~@AfZF{7R+ge|l z^|dJb1V2uhVq2wLQ>P#Sr=R(;vld#po(KP!rxr5Bh1Pe%#yFyk|8NVOmgQ_EM+A##Ci=)Y!q5=`{}Aj#AQR1w>)t% zseAVa@SxinD(aq?-fJe~jzw(YB_$jJliowsmU!Z7F{&2A_iEmq`T4UzvixsL-29RYLz22EFD_RQ86Fc5ZF(wlbH!HZJwl|fA201<)3 zAK^U<17^108&0Oj>|xl5F2@Xa1V!s7pStbhvC@}kdU{kxpEyXGuE-gn>#3Bgpu!q0 zpKfrCgBM)?x;JB0GRlrgTli;!g#9kqQUL}WszZ9O6mJW|y-wKlA+(^U&4e~vF!e_^ zUb=EcH+RH}O0wU=)c`K5xav8fY&~BjIb*YKIBnrmY3zS zTItrtJiTwVMY)`#`^`$ea; zKahIWR@get&r@a3FcFA*>9h-LoW0=@K*VCiQU8I0Y+FwUSw2w;Ipu@6fMFwzQ@KiH z8Y#RuG=F8|6Jti3WHVUppQnIbdF; zt!(}c=k!Imks>#xu(ydhz4z&Q^IdY2M`lW7$)n-)+vZH*(Ze$;vZr5MQQN43H>LAT zbzOQDS>mS<_32C-_X_c^1_#;fZ=yZ=b@a+DZSSKNG9l^xiq5TNBJ&wtg~)L%uI05T z*nWCr=3Sp<^8|fl5xtK8ObqO-+j{_G(Gqhanzb5kLHJebx}Ar*$Wz&Ug6!C|WrXdL;A*BfPSdUz z-e?wXva=O@1mBN$w{DeZS7aV1g12+tGC3_&WTxb)u* z+Chq2jKwP1{;dBd^n8R$s%c6N?$ep5J0p(h)B3!<=^zDS)<`MiiuZxo2zl%M6(()# zH94`;dO!Mxq17F6u{_h8)LGAD zaPc$YOTSWW1fv_wx~K4BzplOPOkagsSGHx`X_r`Qyq>(X*pUcoe*J=f(xl3aW}HJk zuhXfQsF9yh7Wh2lh)rzpWQ}RNY5#%mIm`IrLytPUp5RBtndCPOMQe4YYkJL6@)^<@ zVvoL1?>!9%dNID;!>L+=c=ckPg-d$y5jCR~-T}8Ya%z%S5@l__x?8BqX$J1?w=`Y5 zvTu-8D0+Ym&u<@xqXp2$ zew`0R$n_V6mkGQ%UF*J3yeE4kJ z52J_MmIofbfRxuL9b(7Dhd~OrVjKBNf9nGN)`d&gAx30bI5DtXias4+%CYyHpEOAi zi(hR^%brjS_Dg$Hpz6GSz_|eWE?=i($zY>*pHt64E{h0CM#v1P{Ug-=-JC%BN>|1D zC$Om|Y^2d&XiSp4)c|M=L$DYOT^DNZDL{VP*i8ZM{L5vOEW8PD^tIANW5V62GL@V^ zQWP}2@{m8cbf44YB0$chz0CMJ0S$Isy~cW?#WX$RFW)Nb@s5sfvw-_1j7!zs0Ol(d zy1WIsgaY3)Nq&nfI)^0?9UcL0rFYnT&mpEp%{s!!LL<7(fB}$+qPYCwD0h0hD1eQz zIkTg>(eY3@4#{O>lC+{G$?(a%+(!kd^Ap&{Dx*iojH;|~r=t{^iHc0GOWyV|%ha=E3QouR*%dNl|uKGwtL*d z1b@-R7jM|jR^oT%rM>b!Fnq}^w;q>QqPj>=oBIlAsf;YNH*W1g=S27gn#rz6%-x7! zH=<*Z4gtxMSrt?NG$Vwy$sXPW)wAWjIH)Ih1W8`YFxks>OUv@5Rz!`t7n!I}cL4S3 zmqRi$tT^`;&@b$@Fnx(GMP>wRZxlK+r7-qR5|p$qwQ4t z`(exkHu8{e?woawu{;&Sigd1G+ytU~XsXW(p+70MbT7k~Qj`x-rZW#T#zwvrLwRiD z1n>cx7o_nT>VcI?78o4kFU+SDp2wb{M}veQbVcjUYOX6`3T6%#%xK*)GMFVEQ* zku>{?axa}jV#PyDq*@D+IK@WqmILWhnev8U&fUjAqde{L zRuY-j4#6$v7#`)X#NEFU=;F?jRzNg=LHlj<$-q$kjyzdLgp8$tCX=WWxPbm)Z=ttz z>VcT8>?oJwLsT0f7!PUw6PctC;J+$8idNvA@|BTomzCAm@D|@>m|t@qMo;P$b!bD2 zB%r%_$2;Ybs|y!v@}OZ_ip~HdZ?pZAHE!H?24}~f#@*1yNGrE<+Yx6u3P*Y_gC z%CYV-&VJYf%~!H|6^{7V+xD*n6?#=wZ!6RWhvBSMn?LKOjV7yPR}>GNf}Gz_i2Z1I zIiqcWZp-t+E&Jk^+4z#)Bc&U6gg`X(FJ`?Bx$!LXLB-Jl3?M2suMzzI!;@c zy#dstn<00ksK1yj?xwEl-+r>0G~f5=^S%u{iCpVK<@#bdDV=wwK<78#;u{7!W1zK+ z2{-FdH`Ygf9|GMBtv~FmmH3Y%(C^se4d%mUwI9CBZyDO{5~fZk)!v`ZUvD_tU*bY@ z`EC(YPOQEz4;?4V(BxBS9C2p`>il=h#AoA|ik4l*v+Fj>ZdHixt4mXvpIa4&@8M%(+G131 zF^RXBWOp;Ef*Pshn9+etB__@0o+0ng>~J*JwTiJbYzCsJURFLQ>Bdh16 zHQleUq~*A&uA-~8!EoxxLl!f!XA*UkLK{r%PaX~hb#M@qm>df{l-HIRpcr0cWRC6Y ztk3KCo`Og!yG&{|C-hk)a5R5n5TG{D--D>OUQ}0)TKhtuf^V13Ff%3e_AK3M*q85< z6x$Yhj+ZC9B#-RemLS5N5vQcX0g?JU`zlY14BhQz>wk2YW_MRrq{Ivd@ULJJcqecZ zkhyi6JwVi5oj{ycW$; zI=-ma@xbh$$to{st;Y6J1sWR&k;W-5^FRlmLyBv!wzp+65>4)=r>)qwxdu5iUZe9e z+Byd!C%?Ce67e(2#!M~Gdw_d>ry7BJOz>eFh2>Y@2@vg zUGmO*oS1Mm;s+PS>l+}^PtJ+G3CA@_b%`tT(3Ayj{}+R9Q|9&Z;n`0T+wT)Dxi%@c zLKw&BG27WJ^y%SiWayYY(ol^2-KTbqBL|#Rb4b2%jVLF3%;Knys=G<$&^JR5DI#zk zW)~tyBSOZcAQBn2*y{loW^nG<-3yl+cQa4j){=gvP#_U0;(=gnxJ($GkdBa^r4Y8y z?5*AX3J zom^1ne=d531ljSS__DZZfrCbjoq_Vsl*V_N#7cFRNP4G?U%w8n3V`ejZ~pM0YVCE+ z_`NFY+1WKU3~PbUdM>wD8_pre$Ty!()U9m#S!?+}ooL!va7 z^M-3$X!~y^Lmr+%6&#=WpX@ppt?2P4MyTHWSCY|)zjN}*wj49LdeLb4UPK?o{igCc z`akK;uh-wu{+uSr7GsU4(pE0Tk2`XrJ5PUoSsp)lFaG(Z+ACzar0v{S`nO+qj@RDL zF_rp%ehxb{5PNR*Kgb*To9bBNERZ=+!R<-ZmRZhK3g?=gp^ZrBMi=(#w>bp$e_ZKI z%)~wa(X5_t3htols$91s;Xb_tP)uolKk|t;d&J&i^X{`|$LMnI$Nw(+4|FR}Ep}}F zjpQUm+iMlzrE@DmJ6#*x27>4%G%c{T;54J>gztWv9UP~W%Nh56WZhdw+>&4N3qhnT zpg#ucjWQKHmBe4h&|klq-U}yP`S#0_p_*o8)p}Q#)NAZJ(bj%Dva>yY0JrxsxcQIy zDsEzYC*?r>Ox5cSMMi80j^uW4^6dY5p3GtYI%a3|-WHK3R0j?7lxc=|>58ib#z5yqJ>`V(j^U}=sptt%q=nab05jTa_w%yjMR!~( z41_^qedk;#cE$8+x{aatT1h_*SrFj?Qnc4*$hYlo4p-m5-Q@AQk;FT$KAAF5)a2aJ z#xjV!J=IoREuIj(hnN2E?VnH+x&KGexyLizzki(BW}DN@tU1-pFvsS6thO13IUjN? zhb5+W!N!|KPitE2B_D;n8r+#HCHVcb|A9=E-cXp#xI@5%PqAv`68R}Kc zxsAfv;8u^AEkl0pDKSvLwl4g`{+I#j*AaGhozPi#dhQ^%{xH0;^J8NWtz?k)$-(TS z0MLmjxKcvt`Qedr!*c(9@=>e(4n3_NgwPctA7Phe*{hNf&o6MiD9K=Dc{cH69=aq3 zHK}}{K1Y~tdxjrEaeo1E=XqQzEC!q)Xh+}nUn)&WA_v0{DwfMJ(oW~en5N3ot9&9A zYuZ&iByszhnvpVesF^q)H|9pnAU~>&oz|+FE0ztF4eZujlXVWOr?Y~O+pgt>pZfV} z+}5SAs({bi{*-Sthz$psxHu_;8pdQbbK4udD+{O&m4VPg-p|1@hyR5Dpdt9gC1mFo zTs7l-@a|YEom;5PBsvKZo_+)>T615tnXKn5P>O?#UDV^ZP$3;l>*mAy1FJ8!0yA8S!UZf5)9l)@Mw>2$pi?nOxzTiO#Dl$-mezziZkb1pHFPDOZoRO_<09{W{u{v()j=lWV&c zzxOS31L!$}>$YP$#QJYHoqB`JEtchcwvC6R&4zhOijrYhS4JLs1Tt8D9yR=X${nU- za)A|Fup)=)=9KE#l&)H2ze)x_m)f6Tk#FMKSzBjwCgaV*iD#Ww6Nd=RLc8Hu$1~~p z!?LT2=OZlCt6oUo!dB7O!fGp(iR5+ANlHTBtHf;~PWkV3lmHoq3e^BX8G3HzUg6w$9LH;ys7Bc?;%j6W&r+udvrxa3ABb zM?&}$WFngWO-etv9iny5@fq#4PO6%{rH$0=I2n>Am);Nn&7DXst*(SPYgy=RJ12Ho zSP0JzQ@$$_v*g+OwF7rTaCtYxbq19p%GOCIRvdKaNm^mn z`VE%j9gjOizbkKI8<6kP#?k2X7gT8ZDMiP@64{eb-FbSqh8D?aHGY&9w%oXcS=SJ0 z?n9VGRb{gL92*{fTCZ&0%dLFEe}mLl;t2ilwz z5sdmicmDxV#l=9Ft3Oz;wuy=At`xstm!e&`3r1bxJ3JyVAJ0dN80>2^#H&K&Ov>Tx zk5|A~7>ik$tOIaE(U|$$q*Um4BqWXoQ2V9_(>cHdxHMElMi#ABYH!JZ+sQJK=m^k6 z2k9HnQjS|ryy(%a<*Zj=P{3oUxSvAlsRPWjQZr~Ir+^}oT}=cf4qXe$nf%*UM+d=* zLu)Tg{wNgX5gt3=&{mm}zl%&$r)0mNtX5Q1&aj2ZiYGp_>K1OcS(~_q&hSu*_Y@Sv z3{07Z;9HOmK(Sg5kp(bmgrc zrp26CZqa3u=liMWMmx61u$915jaZt=Sf#kD6U$_|h3Ujgl4(2xHoeHmGO$$?X)PSE zhwEiKcJfbB7ribWPX>m|X0bl@zSKE5j!`34OEIWc7%SaJf3B{`O(a3}*(F)Wn!~+& zqHYMf|2uV92YlRm=X6E}yd=o;K;50~d0EC*#9KaDswb&%SY?-g$UyisK(~HG_pMGI zOfwV&hF?W|7iT3zR4?q@0w`Eim7KYgs-e8~Qe{_ueRV8t4&ik9WI?myR(=Sf>V>4% z`oy4dh`c>6N9qn3^AcDkHT2tUwwPokIYX9b?1v5<{S=jM|BWJlE5y>)?Ug9Y7^v=z z?w8S9&WP>cW4OL6M%@&Ik0@UpJL`shK;n!G=E^5X0}E3afcH~1*q`!!;gB7 z#`!6{S*7zd=K>olGW-tovYpCpI<%a=6paVWLyVuwn)QiiG@@+MU7jdvUx3ugC!Q5` zQFCmp!B`dlHhl0-!Cj@w}jr`LFfsJKLvq zJqr(uEQ#DU2~#85@c>G+vxo=c6Bo6SB1qm@v!Rd&2`UWPjmAsNJZ>FD3TN?g?|HA# z)4CDBl}S!Bf&6n$;;{(*aE+ur{Y!!4zWCAYzMovxdRgz6p{Homf96Z**7q(+dU^Jj zM0Z#VxP+!=n?|t@1)v;_QAK(hu>8H2Tdq%lrp$SO(i{nSt0xn0{N7Ie3jcs*bK&Nz z?*^&97sn>1b=?f1UZ@U$ltdAX;>*0_)3FZyfVc5u1)ec#)NZ{}$s`T$nKl}(fYNDh zNYvxZQ{Kx`&Ob}P!EedEF%Z(eHG4PL(}wlbGf}(}&PSSazM8tF%5=cV__4sdu{aL$ zciv${R#c{o?+D7Pr`FIkWjquFK!gAM(18e)(1CqMR_sWrK!nt(4fjD-l z>nKb(t}h_qf6bEJ(uvLp_PZ0R+LMf2Zwpu+n{JKim5h0|3n{w}% zw>$nlX;t~!5guY{%8zMzc23YB0LA+WCbqEL;sv#2MPGc?$$y^d9iRO9mu|Q5!DsX) zwNOio3phVv>NMFLn8>Esz+x~U^Ib%jx2FDA*m;bwEH!^V9{O%dMZ3AYnXEKw!=n7k zFIQqeP|IfxgEXVr2BX<{e@1Yj7QKgPRfN>ugrVXyTk3B%+GeIWNymCJ)VRsEPP(e1 zS#}r^S`bRI3HZQRZ~qdtHq)#?{}*@>0iQ-coh$(jveDaU2_W3u1p^`x1&02B1yY~_ zdtyI|3U-S?(n+ar@PNS1Ly{!??~tOyUO7tC)ZljniB8Urr-Wn?2Q7IbGAZ>U;c1}% ziTvh5uMXC&jg*T?_^s-vlBPv}qbymWXm;l9zZ-=dMZt4YG7(CWen4&=qoZo8Ua+IH8la+Ba`G z;xCj;m$>D-YPY=(YQZ=%gT4m-CUAl&OD=E>*cVVA|v5%85>l4*h2 zU!ZVm1@{*lgxf(BC2>x^L&y18?qiy^lnC728xahn)MfmSi2-4?oLws6=Gz>pXv}p% z$*9o0@RNc~?vY&`k zelTL=g3&8i%5@Fl)g~QY_?ib7CF#nI=<3r^mun)DJCu4GxNT{$gMvmWvwah&6zYA6J?8ZOAQgT%PLGygla;r%96Al7vj>< z;eyjsOF|XZEA|Qx%kt4z)yu*sAP*PsLa!hmIw2mySr_m~Q??W}qx7DSgLZmLxtXy0F9=N?Rx}LQ z_>~7A1H??cxEI9m-H=;A-y09e?@t;UV9uDtfE=R_o?GSH1cX5Xl>S?4vO_8mZ|)4~ zGw2Re$;VhqRgauUc-?PCZ4 z5kGNp0vu@!nENBS(F9NaD*kqw)0!f*F)X_uAx>>FHpq6~&w-Fgi%q?;mU)2sbgT;& z>ykHjw3@*T$OK)Hwfd8obSgIMC9W8Rbva3sg#UVwBQ5)9Rt=s0tZeFd;jgj70PgZi zlX4>WnqJO{;mU?z2wdk)*9uqVO_7@=Lu~>Xz7P@hVb=IBSSnTCKvtuIP($?>Osf#Q z)ua`S?K)xOMrzhg-cf4KWfY4@F?rs`EiGpQb(JbQ>fT}jNyr|e^~6Le2u9Q(lGd3ztyB@PXg2z@7hrB~)0hM^iF4E*T} zAXI!B<{-z#lUfW*#_cADnX~cjOLj8nj=3ul0XecX{7+}zF1~uMkVkr&VSig?fg>*? zak`XNr6|A{z44#Rqk^JARqu{JaO{o1F=VgdH#_bZ5iW5NXuQ{SHIIwjZSumGsoyPo zS~2}_L!@X7dm}`FUZH1Nrz9Ft)@2Ke{|iiR8o9qyUCYfF5cCO_y=P*J%ZbNj`9n@j zb@pag<93@NR~YqpXf-_D(>*VJ!`t8FmB@ByED>1^A;vV7CPpY2ho#QSSkr=*SAW$E zS_&*lJUuzn|?3Yn7=Jgl65iPJ)I2YkH4&Vomj@Y?$!Q}zgZa%B9IV}~<1#iM>Gl#^YWnN`As#a(uiOLn3v%rzc9^`weNe%pXL4&!{N9lmr z$_!s)VN;B^v*(hInVYuGu-hwunWy73!b`ls&2k@h%YV58EmfLZRYpxIUCOC=4Ah@- zaGCUOSmV-!#-#CLV;zYW*1O+x4C#`ngo3lSJ2P4eg_c6+JEC5ia`TvlxmjqWt|H=e zu~6`0jUO5o3c%A0AE*#F-CMaqZ0$%QU@cKq+B40|Q#kaUK_MGz9VND}c;u^%xPnV| zSf1gwr_%;8Y^mx^8wF70Ww)|W`H6e%m(yrwk(I%78L*7x7W`S^|8gQ$f!;ijO?=w_ zepUordGyb*GfJ9m)hX(^wEld^V2jHcs0x>d(UZ-=6R zw>R!`hFRJgHFed=`-wd2Cz-qpo|#2sfN?NXtao+6c=9Z~F0EkVLO7Zdk^R z_FM&jL;;ZPKvfY0fM2vWrW%}#wNHgmQ^S0mW}d^}g>$~~6$NDMUJ#krZAOcsk`kd& zvL*Fl#o{lhcL~?p8J`M0so=D)r#JkMv#`4yubjd#88%j?wE!PycI3MA8t?@EKix;E z&I8$-H&U0y**P+Z09ok^b3a97e|C$_!)!ebuaA3JfG@*)Q4k;-;=zN zlOo9lic}q4Y(2VN2=^#Q$5lVra>e9qrrzY=VOQ3F&#l|DIpV#M8hhl^cXuy|$0vS8 zo!GyjUVL`-1L|(A;PvjylZsz;0NcM)9pY90VWeu}K>?l(j!iB1Cy2QEvYS+48Xl?X ztf?c|6)rB7MFewNt5}dcCv~6N3b(Xb=*h)Q27Bhw2*ODXlC%n|Y)WyRCHK~W)G%boW!9bguc>anZbP}pF~zo(hBsT#7f>d#$OKEARb9{TLtQlW<$gmfzC@10dq zV2Ai(V)OGo?rIcX{4pnWWYC|=iGw_$69tUp4NT@2RCKE6_IKo zIfE5jXR2Oj*milh-*vqwQ|4RKJy(2DBU6%OH4pviVVj9`A#{$DnTzQaJ}$$dGL%@Z zRv;tzSf{0SMnU?+Hi}K0n2d<}eUC9Oof>gHKi`kBYl$`~_|!)6Qzduz*DPC|;@-0X zBR4^{_=k})MX&VWiz>_@1GOoNk0!E|6Q!P&l;1Vrcs^p>_Gf_Bd8+D?X{zMM`t*Ot zBeBv>mbro(Iyu8uztd(~657aC(S2#GjiXG_^xQmi#Z?@zmev|$Z4;s**ltr{$~nmu2S

J52Wp(@37VycfxcQ{dfGLNwQSM`0T6ZfCg911u;?PXmSmsM{B)ly1%Gjw_7 zT-|)?t9onVKps)@bbRjckHf>?YR>vqBf%~^e)yCEeWDFOVr7I7Xydl!;DfeVt;=UuTF(@*AowNa1L&dE^FB&<$Y zP*077ao_wDTg!_+vbts=KmM6F?`}GxB0bJt3vMQ3-nZSNc8h;>R7msCbiU~xGhVkpb%yi zu?H||b-P&aKc_87&ofd0k4cdKXTIV0+VSlaE43))ubsoKhOl?U42z(%p0rz^Rp^@|R@nyOR1A z=>!YN50vdEkWkD?s1onoIoL+dVoc>Rtjwl-Fg91YkvF7blI{>Q?Wf&6a{$52z}{{W z`aVlZ!+vIh?AT1)=biM2Xxn{QKYG*(=91AanT&Z)w6%Mmn&q}(iN0pXa>w&cVk@9CqFs~*7XU|{x)-Fr#ZCkbq-tcs4Hwie?@Va?ZD5n42O$;n+r39fCfmrxiboFjf zS+={izUd!NBb*@k3-JCi4fpy{mv!AEqi(^+L0IIdki5ih?HNJciKM{bsmjT-`l8@b(VOg5 zJa>1hK>U)qOhl;7)oij-b=ARaz`iuj4_8Y*}A8zehaI$ z=LE_=gj;PL-nH$hAuF-M7LK0{Oew6(#=mz`)`IW4y^?x;Pruw2 zAu;dbGkNn55ukMJ1!D_A*xrVp()C>_ezPqI%rx@KNWODF#C?2I(_q+&juge!Z*uBJ0%fci{at-k89LO;1YkA9r-@Nm-`A=J82Y^babz8KjEI& zuc>s%GXC83h877%R&GG2Hx^JEl$o(y?X@ZgS6%viBPqWgxhi`!ei%31&ph$a>%3jX zu-4CndKdUxt=l|h8c&xa zE<1xk_LdwMUm>ZS`1i2l=wS5;S#E4ozxLnZCw3e42LW=5ap;pwRQypyrm{6keIJx< zx!ZblZvYj@G%v7%@3X|co!0Kx1uQ~+vZvEMW! z3HZNN&9m!jP5g^eQ#KI^2*{rb8?hNmw%^CvImt<#_*sQ7RDt6sQf@E~M+OOw>koX` zR70oMwxC_loyF+GZv=hUv%%mqe%wF#bRv&@m(LJz`|QbzztFxt_Gw5o27_QK$xB!f z&If^ zP4GkAHMatxx!-W^gTHe6y8y8P&kS-r7hzPxmCl!$!MF{9r@@dPi17)#U{t#jZQ-Kd zNTKCJ;J>6d7>2y3?FdHTpZ5z7etay*DDVgDx*?RQrh3<(ylvCTbimE(16%8?qzvV& zPGt%F&A|-(FL|Zd<<8F;N&5tS^Youh*a4*-!j;8;U2|18SVyis8@OJ4`=87=CuHOt zU2b+thBlYR)&|K`3o+VGq>JVFX^vis=*9JXe3d8%}e$4{KDGTe0 zDHs!*YAU0u=@rHoQTgq)>ShXTj7cF`L?#qy!845dJ+wOjR&F-c^dg6Ora=6Z)-1np zWPF}}$fV6nz2c;m69qZTp)c@_X1#JI2G+%(B?5^11`fD3fjy$5NVlLZ`*68_pLRa; z%rK<_TIotmuZQ<(%~&DZ!2#wZwWd*#!k1bQ0IlwIm>^fuoTMu-Aw_^B&u50!rAgO= zjf}aNwi0WTLExrnlt5bV-$5O?z`w7m3<)3R1WGwiCKwT-L+nA1aS_M>9Nm99gJu2q zDjH`lsms6ZI3fzwua1kzQFHL+h*70K`ul%c>zDqKO3JUn<#4ivX^$5!hu}KPRj|bw-h+#&bj{igZF#Lh=?bj zT$oM{IaLypt`R?S+aB~!gMtYr$)x%- zJ`SP-95+_+$ZG?nqq~!W?oWFp@U5aLtF(iute>nBZ9|^VQ=m<0$Ce*HMHab2`Nn2K zx_i~w0FiARHZd2T%ijqZ-Q6CLnin~#1yYL;-$LiXCcrgUtOUkWyQ77!rZ4-q4Z_>O z$z#j|ULjt5sAD%RG9=#=Cwv~>BRNq6Bka4y;DneA+SuZ0S|{yCJMz(tU2;78cg-wq zJpcE2J}xV1_$N~0>MW%HLuiI5Dnbmqo& zYxu}@Cevdn;VQtTd-ClBqEcr$G60ajobG*v)HdSORb;ua)IzQhvlv+kW{G*eCMPQ6IM4dcxQ3y zF=ZwLa^&H*_4v45C}c>gaGc*^B^d%|m<&P21D%hNCK+G=jr@W!VTj0ZLH#lx(|h*^4(EkRvk9r} zz4i0zGO@I~r$y>*%2Z^}zyEFD`b5IX2nyEoeoVVv$mY9YDSE6SAwA zHln4J4y)sy5XIKXrusGuGfTKNj7ANBf?QShDmb-$N7-N861S8H?J?DwF^vQ0Qy7O= z`9YhErK^0^j(u_o^q`zx)oTj|5JjEYBHS640#DqXW+|pZ(WY6Rp}kgqukH^`FP6;x z5CIJ^;aqT*`q@p|Ye@Qmd5-v7RxfHfuQMan@cic2^6aq^LkP2${>Dxet!gfKHfru` zXI?}s|BN9d81*qgzSs0ML>|Z&u1PgCuJvymbW#-E6I&>ltg%)T6)en``tQKtW1Y5b zos1rm+{wQruXWa{dN?asw|4!HiB{;8^-xIK`TljAO>~tvIyMU6zmqcAE6BB1i?+4b z^c>0$v^GV7uSw^FE7_swp@6?@0j1f7Xc8gc`X{K*OQEXp=E!V73VKV@1#U@aC>G*? z>4E#?&}`_d|6GW=l)(S!SHDiq2CU9sVd6{4+JzE|uz=bHgwzZ25ZS_F@U`l2&pZ$C zXmnV0gW*1rlrlK38sAq#TjI`UYnXfZu+Na(Miyab9O$GQY-n9`#^JI$i(pVpoYZ|2 zhw_(5RF3aURsWOFUUC6yBC8XU508m0c8tHH zhf_NEs#ypH3G$KT+~UeZ(uHShoLTj5{RKpjk_Y(1aZ9Z9`BNj>x(tC3oc)9H<3JQBamZ+NP6~-+=XG;tSR#DBP?tGGyLtLo!2Zru#(G$W z3dko4e8+QG`h#)Dysh-z%F!X)b6O{JAkRIX`@_-W&YL9GNz6plp#`6SHi_-fsOXnWyT{nALJIbYwLe-?K#`uATg=Au^Tdjniwk#4e-!-xVl(4SbR`w_UjA#(4F=? z)vlMf3_ULZbS~Kyfw83SCnde`EPuibB`+|*-gw9Y&DJYrNQga zkwZTt-XB?b8{3|)Od)GI^|5h^8zZ@uji(1I$cMj?lJR;jZ?`nCWR`(MKRCPXw@bEC2TN z_p(OAidH~*#`>>?P_R*=-r?aZy!^81Au~^TXkL__?a*HWWv7zZI zF4+Hy>^6WZ>cuy%ff2L1vX-EG*>i^tI5xNUg(&om^3UYPg>mE1MwFX?)&S{UER3S% zRs-yNrkwm?mh{10;2o_GY3jGmaZtZf^f{xwU}l7LZ$2@7yhKkL#CH*UX6ViSeQDmcjAP2ume&eW1 z{T^VKBd9p|8wU<=Knm7SRe=^!Go}oi+kwD7&HN$Lq#sfZul|Sb1>Y4W?194;k&&vV zX!d%TMDpz$Nve><*CL6xFOy#<|MyxVvFiH2#w&(;Ums3V6XSL+>eZs5?}Fnhtdik> zO#gRUcUCu4e~$2a=Vn(Q_{HSJ{UFK0eTY$aYJKr=Wa;4ZuT2`4vJG+Q$$`|@gyG2U z!>(15Nz>8*+mHD&`S`4oRvSn;{PU>7(X6z`rG5>z}(QW_0r3_G6@HoZq4mpie zvw6|?$*}VKn{|H4-3cWZMP!?;hkdWA$Ay2_%#UnW*0{Olsvh|Msp7|yeQs|G$JJqu z^=O@&u5C`|dXXO~yX+?@cKiN*CnmLp^sUM#wPCDaY62Puir)wu%SVS!5!Z`jV;DOi zQ%Za_ODn4I&(ExT_sn2tFE-FD_yNFLYAR!3_%Yy zybAemOTqhT22|V_zWm8%d|tgOoydi^LYDVr@kiS^7T8Q5@e4p%HGhni;E!v1{1LA< zFPnGR*ZT=ocB*P!x!V41CRQL9s-22Rq+5Jdb6hz{vqP1-Tx$>*ksg@t+t|#K4*`Xq zLuG8qhM-7=kHJNbJ$45n(Txgb#wUs-E5om&M7syTr;SVQ z?<>Da7MXASMd|acvIsU+r_`39Ur-*}T=miHcDUNktx-!L{Rfm1P0Crmdm<3XfKsB{}CNh;0Bcs*v=Z9nM~ z4yfO1S7v7L@~F$PP7*WP7?YEt;*INNx|VyIj7r_k+S>ccW9nXWEv*R4aJ4D-{#fX{Eg8#HLbysugkl?m)%AM@Dh{d8CFLEG!))Fz)yX0-@7)DstoQV+oxRghq6#7_o|oubXPmK=PyKQ#G31(+NJTwXkLbl!M! zT9cF(+mr-)zxzVFj$4-L6=9~y<|yEB<%f97vXoEbMitSSp*(;Tta#8U=F*XlsA}Y! ziDV=8uH5&DVA=Qay@M1|TFzBw1Tsi4mi(Py*0dw*-83L#m@;^1?=0MTA3q>mvm*w3 z&o?v-S2}c(DvWCJKQul&nZ0T#OniL~cE66o#rBeX;K|74n6gh!*k{(W%P5E67E(#h zni|K5v`9gzpe{Nv&WYz7Y9r$PJ#h3f8mIXDcUE;0BMA%d!2;DzTkgc(nX^$rwVGM! zmSY4+#ALY<0jO4zaQgc>I(pz;zGGCNxr>&gT4nBfZOT;sZSys?C)EQuw-u9=SdgY$ z@2f`fT+~A#*|*j6jtXc=wg=779$}uA`kxci~v{gHGy&etAKl+Z8o!V}T|Q*^`JW3_%T;CU;Kl^}Z&Lo3Y>)5j5YNg8n+} zvh6FJIxYFKZ*T?sKmX-mqJBP#PAChdR_aJLIo<;1lso$N5k6q-RkM2Jk4-S(2T2Qs zVXLyO35HRZq})yE;J3X*gW1EjHJIk|fs)p{xKPM|JK8RZ2zAsO7bHcC+&? zCXjkVO%zT2>ri=HO`}FHnE+#qzd@@M82%zC=4+;J%IsE*6Wj#H5=&C1HOksOQ|BDYV{1!C>!D1h%44V!T2;rI@=N%*2Jm>pBxBK$iL@tgAjNTQ=v6=}W=*7{i^ zhtwJhGDw~RI^T;*;prDKrX74l<04wRJILdIR0w&7lxkF*+=g`@&pt2eEMIAf7Bkd> zO~=c|*Yznx&n$~2WK$G8xJ;9=bFjNyJ#J!~2t6bly{yjho*2mf@3VyL_ae*iECDeR zuUKGfOH%sYO$WC7D-nOkXUKF*Pcg?y8O zR}_D6IbUQDQ0p9(8@}f8FWy$t-Js;TntNv$@Ogu+>4&{qrT%`6kG^8^JGn;!pICM? zF*fFcQUkw&+l(XMmfDoH^QfP1$#FMnx>*M;F3-m?aryjXsdqI)_5idzH1+y|))+-e zrJNsXAHF4%Nu(1@C(^k_Z56EZ$Sj@dibB!b^JN>z`o;od>mvud@6M%th{V=8uX6#x z6o2fYWP;#-k(w-6ei2%k#9!G1iQPEWCpS^d%5lwYadTQi+P}bxc5YRvoT^U4q&iTa zrCQ~l{+#VuVuiHMKj$O554d;aig@N>2T(_Qr_Az3j(VX^n%V|gJf_h?WKSJ{^0i;G z!W^h%bu;nUK?vs^Td4vxr;?=GTd_?s(j`A1UjW5c1g(99RB66de&01;UH;<*ABx*P zSk>=9u>QTp!pa9Ao&(>TC8n`1iM~{Q84w=f;sZA4D9 z#{I>C?&J&4$Mv>uC9a)+DjZ}NJyRtA2C{6&K-cEc=bW^qX@(gE_EnO~CI0&0iwhDd z7DN*fG~}b)JJs>1m^Uf&P&>@$c)nI!lUzoEwYi-qJ*knzq6(-X2s55TUMXT+MFqEp zz+w{6p>jY}o3~%Ql3cqa8`FE{um%Cx3#`??K3rM2U2TxN6_65e?C?h$r>bL#wPz+G z4tXYJZaa#UtMFj-ENX4~&*bF9Y9vCN^7SlbDpTGq)v`&&XfRp)#Zus&`U6UZOjrP@ zP!U<{4_n88Tq+R70f#7yR_}YH@taU95yiucw;%^P>NK3Zq6n-y_p6c}ip|KVki(D9 z>yBTgZafJTR5Z-SY;#i@g*A@fP;dC?pl#<_jA18Pr05Pk>SwCdR$Yo+j!&$@M`7_y zvKz1u=8OBk+4n2gCy?hiJ0Tt5Du1 zON3&($S>WSD&h+=@iQ^sa__k%W+z9IF0Zx&mNDvRhHwmc(K9YCP9~cPNTb8S>q>M*O}kwj-=qX{jRz z#8refKoplov&nR#TMoLdVzc%O|2N3!?*K8d&dO605mpKH33#zz7y$DY07>j1>w2Vd z6p?bBX%&(}%G7bV3Q9#4#i)aFDhpNaNSzXgx+MX9?_s+bzQm0+l9-M*)lE}U2pjxV*=zRh%X8c-{(nhj%WHUUca zVvf3t=z83%%&1TpeEx$!kc=&gw%?z6wrfp-fjeTQ#6N{anieC}7{LHHsl216m~h42F7;V-3*IkJy&>K-&LJFV9k&<9 ztk;S15qjrORh<1j_@ql2MPp)(g_L5Pji+ktXtBO3X#$)jM|lu3Xy$4`uExV~D`tcXME$lEyJ^A&r$Lq%;jl&$`pU|xYy@!>u7eb!m@%BJ^)7*zjYqBFydJqx zNtr+#Y?vg1--rPLU6x$QO|{5_o^;PuL_Em9g?K`z<+M2vR~7_kzLI`HLWbn_hp=JZ zy^+hoARtts6Xt$G5k_S=zha`=NWSXJf*!(oZ>yxbSgoiaUwD#SkD849fV1v7@y}fG zW}_dCu?9#(>k+K=*$0}C9)}&WLE?}`SMMci!E3gdyX}om8q3E0K|;qS)w)9aaeYZc z{*`YrSoNxKy|cF#1wibzANw=Vx)Ic|6WL%cYi~!>sWE0T*Q)Oxi}ks=GyPjjCp3>-`K*4Mr@Xl z`0r&@Oy3G%J%(WcZ~J@zJvpvKKaO~jJnzh`Vg4a>96Q~04#g}oWTU%lt z719xu$SsVZWe=jN2Pi6>78zhr1QIvQ)Ej(`drLoKLP9t(8OG1G4u>I31@-V+0g%9x z>%hxiHWH80Q2Q++MR%9|RTTpanhWl=V6X+R_oCE^Hxg5XMVLcw%Rf{OOD5d4Nyz_r z?RMtu@1)l}JE?lzqyGSPIYfn-gAIgasiz}(ZmtFrpC?cqOyqrkl(w;Y$Ne@UIZ8JG zf9`0Oh38Da!IYg~?sRjM%I$hr!KlGkjWsEM)HtPvGIGf_*flR8>1%GUG>9a!SPNqR z8xgM^IXmWagDajv$rxwL-ReMb2rSJO`2=pw9tQVAFF^XY{N|ZK?4wu-sA)H;Ua(s;%J_dRIbLHzchna^A751@C0@h^rSn~L@9n*xlIpNg zk71UuJ8fsvOQYr1vQtMiXW-YtHv(wEEktpLJGQ z(VeQ2svXFBUx%y}?7U&-b07TNRxtD5v)BETyz4;TgIxXPO-4-*B#@*dT+{uuQf@Bz zP;o?!Kh@Crt7%iv2r`t}K-i)ZW#eDqmr+kPCFBT~NmNH1BZQP4al0LsP7nBReT=G$F)puoF? zcq#j@zkvAO?6Fwf4w!ty$`OL7&mpLx0pUq#vk{X_;z_brE~!^qkAXWda9f|U4g3I6 zI`J{{+Hjsf*WcN+vTZmGa{w>O{^Ql^j{e{4xO4~0#VuL#R^R3@0q$z->j&E}+=5Qs zL7rQZf1mW=h4xBuZ<^RdPG48Qrl8f`U}gc)SV=K+5CU3~YBaC&taMaFHD7WW=sFJEB}z6c$+R*cU0}!wvmRDx*e^B&{*hK=!|=2* zzkAfkCpxG`!0CVZ+8Yy*);qNp^OFi)u5i;{3}>a~?UGzUg-mQ~Q~b>baV%gXPl-BX zQ%=;_s4|8vTS@}N2N~ifOO~f+)TfLz@9sU~*h`eyYj&r31OhaSqcI-UuS2vtVyj&B z<%%k8UL+rXp%AU!Q&AXR6?jhU$nUiepANQt}npDe-0?#T%klI42&iR~n@Dy8AMFHb){XRv~70B4`E zlbf9~#9v<|eGC>);`OUr1$70PX$~T42jlWuk)8s|mLxjm?SU)kfJ{vJuG)D!Pd{DI z$&UW)JKfifdC^$#->@CD*>knL@sM$&_^*pNMI2BZ;AZ8qD;j(OwuOmc%_VXC2GST zI@}A(4#{rQ8W zYBQ^#FyAL&;UK$;lgV{B8Kh&b`y8UC9f}~VkqcmRcYGT!roXjhy%3?l zsfus4jMS>vWM)AUb?v_R;F^oa5@S9MDEo~S*7zH;zGYA!Z%oV$Fj@Cv3pKq013pey z;8&}f*lyM-_mqcE2?+lWI+u%o*hbTEzxviFaC*N>>JND3-J@onKeuab7-AF|lNYz; z2As{oGN7aX8{DuA#Mjv}mDq&;L<$9$rcB{~uQb1snmQ z;tUWKSK(d_K~Zqx7Du^L)7)idT}4oE;@*a<%u#AqR#v!oIZJIhOVhgA`dYVp{rUS3 z-sgPY=X~Dh^?E)Z51r>Yd-Go#@FU449Lp|P5Uk9}0XyoD;Eo$L1FILoAknUk_GV|4 zh)%UqZ}kDv3gVK8`s^Fu@wNqzEN|ib#Pk6ugLzlDHuxSS!_*o)2!Sq@RTLSLTjdVG zZsOvg7DM~?;T*$Mfw=RMe<5{5^#k6JLO4bwbwQiK1e? z1*@Jc#f-AS4_Lq~EBtKaHixh_X=zmBf#(o8P{+!f5;wE20ey(|+k?MsYtQG#XSHD*58E~vje|Aje zCe3L)Ja(A`@d0CyLa#xps{OSIS`-+=YG2e5RoR;@@Bd*@JeHIx)8-HNSP4u92~JKLIuQRg;lz3d>X z+Y}k)wrvt7WAfu0;>uWy7{wBvkQ6pfS$b+E<>FMn^bL@fGeJ$tX^Ql=V7honaV^HI zc3i8up%u$bk^Ed{Be{cBH8$tO6}uFcA?j2(*%AoT+Cei*8PgL_5SZC3(ugloS$J8f zTHiLCq99cOZ)Z9`QdZRrSbe-4232D%749(#G$PUb%TrehN-Skn*_L;xZ@PoD5T#-c ze=z4fSB4~?ma?>hKFBAm*&^dZMFTv!R5$7nZudZiW#n}u{~aY8>$R8eVi_PYk;u}s zilLn&2r@sAP#52^#Wd!KQZAuGqPJI+l_y9rdbgG6pJIT?ewM6enT58eUxyPR*X-rT`)Q^kPsCbuY+H3laSW`L{UE*@Cgm|SStdkoj}18fr^a;uozP^LQV zYE8gGa_pGJZxcT_Ra|Ph-30X-MyV|GaSgxLolmCHGTbu_8~;`v0Y4xB!WXb$qMcA6 zHZcvn$%O_4)kc4b8PNiwLEhaza%R!f1{a+&C_O8%2|nmJEtRI2&5-FK3@KnSvY*7T zb@xJv+7%eZ>;fT<^KQBdcuCHU86csVXrV`l5%2OzBS)`I&vyA?K;Kys|HXJ}0F(`h zUL@~$bC2}9dY#1`V#yXNIz!yWH*)R_toM@-VolwRn#+&AdA;%@C71KXCwr#I4J zG13sU<_(>&Ee*;@tXe1SVIZ3Ls49A=%n~93z?n{0p^28rP7}K@U`dPi4+pWjN%KSP z=EIXnEB(IAoIf)UvUNwTGu73pI^kugz3LbftmMjP+-&{ofRLTaV367Ia}+_9AGy1u z=?b+i1Y4`nnjZ~2Z8t0Lj);1XkaAV3>LiMr1~{VUjk?Q*z+d=Fvn1dvBCJm0-&xQx za~-HF+Vj1Ln-%ok^3g3VK}pv#c$9`qHRN_M(IZ=6#abPU@{5jieM&m#R+LEgQ{8j)jSm z=M84ymf}Grl`ibSgmRySma#i?q_iWM+#Wotyhpk#{ytP4*%ExAi zo&UR*8^|ZKiWt}q-A%2#HaPT9a?u@|2iK}}2n92cb0lF!FG7a;#EST!E&y5YY#h4& ztr3@b@Id8LG~0w$2WyH>fBGwDStEiWdvAe!?0$*pyZD{PS?-~J3HwEQryN@1dHICN zH(-nh6x9z%qe*)dx~FkPHU3Atx+i1H$39H$+c-7P`JD@+LHl`^f~?dMIa ziD8+A4&X(YCoA4ClPDYgQXzsLpz_K(KIL4Ju%~IPlUIr>ogjMdt4bX}<@tB5HiT+) zij+pQ+?P~eTE5ssNErL4=NeiS=AW1xpf*aD9NozHYsBkT(B;Ag75!SgYAyaw;KBKh zH8@%jG1PUwhI_t%g1BmqP_0Ged*CIVVDnNZCnb-P+ci0oRFhdCehMZA2UBQzpPW?u z!74yMP4e!QsOd;)OQRTbiRFuxjucj$h-LgUC5X}!Bk91@UQxC-c9l>sKU9Qaq zGP(>SzF8O4qF$jLtKk_g&bGNAIEf*3q!;qnSKvzz5dBOuJTa+;D^SCisG$Kcy%IOiacbJ(9Usin zbs;pg&2`EZ-#w%YR)#{8x;+C+O%b^EAX&RU7@vYXBH*w+4YBCR{3jn29xq;UC|0`% zn1q2Oz9y- zCIA{Qt&sw}QJ{CcP;X~V%Ho^;djYZ)Kkq#)UMG-9hbdVIi;IykP=WzGKw1ouXWb~{ zwq`}3D@V8xXkgT&Kf$BPu-hqCZ{Dzb1sbgfUMGa*mFu-TpX^8h?u2SZ32NUJNIx?T zEabyFS7B3(4DZWDuntv+&P2qXO)JZ%L-q2Q3Z!Y>q&37lY>{34Kil4Q{C#)3SQDR~ z;L;)zLVl$*^_EZ9a*{Rtit%t!2U-TsGw!U@SQxIM405-pfFzxhN5YOfI6KPUlWyDv zAnpOw$k6KE(71e=>%Zbv5ZI)4(Ks%+X!iix!;Na10zF-BdP=)?2L>%|7d4>E&Jn9{ ztIAm*8Ozv|Z+$mEerG)J6Fok4Mw@nv&ci78#lD6lY&#nS1xrgUE1x16d=OLuaV$S{ z)!Yen07U-<s(`e41)qK_gQ@&@S6I?T^h*NNAXeFI6o3NZR)SBuVsO)X#XI2R zjs*PZa?KsLF#S(dYPl-Cy#6e}=K9OTO8`?plkmhkAJbaNXaamR!R-9v<;S2Tm5v6! zN+Z9h^wPug+WAQx!exXQc-7{C+L`bx0gsSlq_b{La?LZL*UkZ{Qqm26SNX6*T9#x( ztQZWV`LYBQPLw!Aa^5xvU8F&;zOs+lSGtLjZXK2ROAysbt*nf$^reYMP6PVs*Wx}P0tJ@-lJS*hjA4BmUbcuxVy3ncVQkW8;79;8Z&{nD=BWkNe zDZeC)j)k2Cx2oDs*PaLHY*@>HwBcpB#N3`bK??4{$Yz#cOMsP&vtGG2zidKL$7SWCh zmtyc8c<|nrKY^9`58OyH^mawtHG@}tz*7{oIYrcMSqx$Tb>oZPSq2nOU7H~)uJgK~ z_7at~THGQr-pXK_f>lGsi_Iyhih)R63Pjxgg>#z0e7>xP#i5YGYAvwEO-Si|s?tXj z`m_HXxKVa>XGlv5) zNhnnxM_gGfolrQRoG5v3Ua}U@KBtv=)9FF?e$hKShGv?Qn~>0VXWu%?mC`jM)(5G( z%TtqK4p(}W8wg=6$za>6vsd>3`lMrjCV(G?qj-K|J8IB}=2{}h^7`&OxEkgs^%mds zo-qJGJrbSd1L}5#6WRd@yw%h$c@@{#Npq1#G}xY?rkff0-nIDNz>_ZSJ=QFwJi(-? z?A7JZS}B3V9O?1c8MR9VKEw0tcltZ?OYy@hr3IA6CvJ$YyX^GOW&=JGg>C2mw3wAN zar6Xj|K^*J3SPAVA|cN7(jbS^nxTPvipP!Ua|vRdBoh^lOpc2~%$JiVHV1B|96)@K za&CvRU^i(TL&w>yqIMZnNdu4Z-&~cb=OlEOjdJwq4J+_ zX*8tA)`jV&)fq1R{Sq%oM|XV}4Ey5#kDDOWT#R(pQazcvkC8c^cAS9Lof2>W`w!%i07N*lgny*3@Fdfo2HT`5u3){pmG!Es%;*G=Fh@9a?>?<42xHGEUwzBY^-;6h7ikbJIanzc*G z`$fK#cAH_95$cty1!28U#be!u9UFY!b6YKDINs7I=aKwbMDVCV)hJhTcXjRc3;Bq-TQ2={a1H7*qhZCa;&7tLz&mA?INP$R)0ahuY@F#l^~u=nk{8bR zov+nvuom26p*Pg=ZlCf!wDY>kx_^sTz%LvtOz?Ug=6jRgODW&~*)YeeLVzNT5HfwRe==~$uaQozQ^nRW2Zp{cCsq~~D;xbA4T zxrSrvC5Fh3g1ob*L`NHfQmqu?da6thyG_dq<-iPP!=(Z=HDDvm^1$B;HFVnD3YGc{ ze!?l5kCTok5Ct&`gg$^~P_VhcN&gL!xYW*_{{IZWGfz|7{TeNi|Ep(}P*=0aCpL1y zK-F%!M_UjgWqPkfi$dSBK1%ICi(Uw!s>F^PqayaKL=OTk#M~UAPu$(&lylj!C4&X} zB!NpMhx|3?1_D;K%ymKCsU|VpwT_dno7o&Sg2*llOR2cg;&c=<1e|(qbH0tf9G)Oe zjl!fC`4x0XpdxdptWc&G#~X_{DaC*aIv_uG$U#86j;*S6rIq8rla1soCbfMo#5*V1 zWQLvk$EqE_6MBPXdMvC~)=bwz_5Smn_JM+sidqKf{Z6})qTSABHp|yCv{pI@IGXUZ zr^!tCsVZP)eKGJ+>W}$~Rqt*{W^GzbPtfwz!r<_d1+kK4(wmiX;Y&RkK^5CMLINDb zne^ih`$BxkzoOhe@wk_l%V0Xdy^pYyTgvASgsfB6`TwFXe^fNyW$chY73f5La=-g} z)EZ5VS(mmR_`WB9^aa8ac4rM8Qf+SjpF^d&LS2E4a)Y?I++k8StXhp{qS57T^YB9j zQDAseZUTB1P)=;92yN85k-qJu9B*02!7h^oye^>(`tW zt!oBb0C4Nfl z;a>`Kg0lBdm^d_DUoXSH!3>qC3^bCm}CHXT&CD0YsU$~jYACy~%TU?6uO!`@g{IR)}A3BG1&__f^#G zmawI%zjD(-|L&YSRW&6%cn0}M?#U+=BaTmfyk)UY+W>GKrL4oh-w<{6yxeRkXQ>Ve zz7@uGONbjKNq>d4o3N1gQI^O${;=s~3lzhaeDrVqLt$=%8|4tL=sC7kHu+0y)h6ZHP$d9i+RhF;8o9UxQz%}#=NN#PJ<`+K=<&<-=IaYq6 zY9$8MLA(&iLq1!Zy^?!SDo}rNwYCaf=0-kixD6&JvXQqtn6LRQvRd83HOZ^uQTrXq zb-c5Oam~!bs(_x#!;oVPi#xvhfikW zl5b;lQ7!iXKzsPdy{3~VX}&UZ>$JwUdLT9PiSLGHSLM7BFhyFbtNB9vYC4?JVM5!W zf}o;6Kmk0dwvWL zdoIyDJ%}tz&2?$8{p+}AA3-lrWa&*h^jm|4>6bA6#CIFuJy-_VGo{-bEhxcdI}$5@ zRs~ZFBo}W{eML(YkjwvLPK}n`9I@Z@!L_YqC&#B1^rzz!Q(3tb+YIkTuu-Wjk3F$4!svD zsCe5cbIv}f?Opc=(UEe1Zx{Nn?XiiKpnBOW9el*&Me)d;AKM!S7QiUBrNr$<(1n3I z@-SLJv`t$U6}L*bL}oz2?t??jk7*i8wb?dcl}y$-zBVpZ)QzbttJ|Hf7;q3~L-+bS zNwcZ(SWejF_s=}BV0I%haM3}$;i$BM{RtTJ`5B)dhbRo+ zPdnCx9c#aDfXwv7$xM0*>iyZultDWDrErk&H1uwk@6`AL$kOk^!C~fUsR595HoJK&HxQCOy9nJ*hfM}*wp-NYxu6hjH_A8vTTYow;v#F_&BOrbfQ+b15G&r4G zfybPM0+Cb2kD#YMp%k4_*+fr36k5tY#^f9nBfBEp8k1SSuPJXPik@q{-42o~Bi_QA zJ&Xe?rV1*SXAw17)bX0G?aVoh=`g-_lMQ0kmX!sT964YZ6JcT;Pex8?s`LWOkh|O8uLN99_vQ)u8!LD{&OX1; z?XwRw^b;hv3(5W|fuevDBOraau-ljf30Y|KM9ta-3 zwG)?HkCPs|0g5k_r&F(Vk@N(mrXJBwlu68(exVANSm>&!b}Boi25oA!@G_(KN+Z1h zfdSWz&TD2R3WB@@zZK+|Sf+n!K4vm;7)@rqhN0){WlR&(f?I6fQbeK>85>h5>E^t= zuZ>tX2wwyg6o;b;vO6je+V zP}7eAdF%rhH5E?o+V#e02N0z09<*0>rBpWV=V!7rGuwqmy;G$^Q(gR0Rrc$Pc&1*D z!QOr(Y<=FST}f-4SQh7w`GSIT`>?AgzbUOI`(fSzn?>&~x`~o>`3=7tXW|pUv35}= zX^viYRdHrFcG*^0r=*^M3smnSkl*nDW0XUpfQFa!ZX!Y>6X9px8EBUkx`ixeGv*T0 zd4mPWEDBzGV%5jpOcFoEBa@ zrI6GP&AR2KaN50xTyn6Yo~Wlo<*{!3IzEO&YBO|pVj#Z(McofO^d36s9R?4}ScDUh z|KcR)wI)6Kbb8CQ{NSA+oJdcLeAQRQIx8ml+i7lQof)^=K4M za}tQfckSsn-ta02!`p*KBthLEW!~sk=u?I)P4F@4oZyi>T^iI!L^n$wRmR5e19zHp zWVlZXr}!VshgA5?kfyZdnW-b>Lf2ipSAXO;uqH{Xw|zH@6Y2L4E8wyDr7Fwm`%|bp zU3pXi0^(o<&AtqY+;92_Hrn`yr%Ey2OUYfR%M-FF|5V6?3(gkj&wRTw2wxgcM9nhc#(+!u1j$70cVr?lrUPvJh-9ca zBMnYbM*+3btc&=CkNY+I?VRUh0E@;K&c=6C_Ju#T=c&RZXV4kV#*H@+Dd~Rf2Pwtf z(~X_&Zr;T%nK)M1KC>m0@)f`gN#F5vR7+>2#uGchO0@Jc)iVg3-A5 z{_}XdfUKQw73^CUte7fG5lFLf)$w=D#+qnMy6T^XYwFDaqDc=+ZRJB&gzt@m?4m() z-V6h5*P9ME1C6XlcYT5rDtjU`=^O4EWoaf&K$iQwzX093uqk{^>#Zj(gLOGYnI>}3x_07}FtCiJvXXxL z^-Ch6>bwny#>s5)228ZOMkS_FjAfi?_am`4vIv~hU+ZPIrg6PgM~prlD~#eHGPp>ct^D}|Oa`9a^A|?Oy(LW=2CC`u z2S2|#0C&A)4ghiu(ItSW%@!XW{1mH%S+3e~g5lmFHvjsD7MQuuWymxYg0CvN{MNhs zT8n;7G&7>Bk=D02C+DUE2mq^r%!fNP3ZzL_m_9}M($`7AkLWp@(WHC$H+dJAp5$8fb_V3r+qj& zQ(LyOqqzF?@4~ZR_2?7#$wFH~cn0&wKQ&WQLzM?@kk6YTmk4m6q;`2nQB52 zH1SOJodVEhtI4`UpI3lF7M_Fr8nuJaeBARpH#?M8)1Kc<&D%P^_(ZEh14Q?7oyafX zPCS4A!kzmf1P0bT{VZtkn2K@Due>>l*@$amyDA#y9TN^b&epA}*0@~z2nL-X4oo_X zR<*&Fvb;yuFN7;NNFjf7%d8KDMCI_ZGJ5q!i;7cUr*ei*JJXj2+%7qPx*MngOTSll zu5G$e$T6=cCc{3y157BnFUHh5+y&wphBkkHATZ9OO5Z-oky%y_RKCHH&}uLi&1~QR zh8xxPwMdSNieV7*QHFxv4V^D7?LoC^tfz#3l}s8vAD6-AK;F z@EXzgAJ|S1U9?TB?3mHhRUxBcc3%CpoqtofLMHHI)v^$??jj;=fAXwHcAV#%T8$q@ zAU(Tl+i4R1GbJW4EziiG<_|Oq?edAn5Fy^H6Z)HWN<7Sy+=@0%rtzkax-o&)=Lz60t%P(@WTCjt1mlo=jBFplE zx>-FTC12AkRF{Rl{ZjV=oTPbal%^d2*Q$2r4pAiN6R8v}-bgNcQbVg99 zh)RC(v$cFQ_2E+Ck%j|9S?Ycb3+`+71rP9(V32$rz`|a(3P~kO9(1uwiM^RkxA~Wq zY)@7tlWh1p*KD8M7&qn(T`Kf77D*;g|3&AGW+h@MsYd(2Q*sLbxkH=@d0V_A9~E}g z%u{x&7h+s?L?0=9A~gNWKawcw_hjd(n*9f%(Y$&=uHpZ7oD&U`C-~qz2hAIqC>_a$3&d?C#d{|E?DdAOChZbu2TGz`*n$^DX>~GpHi~|+vza=Da z)TfUXuVi9N9(nfWVXpFT84m`rpV&WEVaprg8vnF{$me&Ytm#lDV;+Aiq6 z)^<#uv(&Yw%~RFxqRoq~t9;^}wEF#-B#yee0R)1Z0>CYm(Uvq~4Q>TuA+*(0Z!Sh9 zF|vUN9d-4jeq4S-fvxUhLje?`4=6hM6Hm)0W4mZXW%IsZ%i#g%{4=zx3r^PP9Q}d> z`{;l<=Z+J#EXA8_Ne=jNPqetnJ;)3P?M&Gd*I^VHL;QiTixaptbVikbx>W77mQSP# zTfjq>sHoqV8~~B4U7lg!Z;R>XK%ARY1&o%EL=W;`Z*^^>^G+oIUCmB9S!(%z9rVy$ z*IGec+y5M!i=Xr)4PMjg*`*>ILowvYQ$(Q(_!O$P7*3D=F(CQIFCnX|AznWVJw@p_ z7x|!l+X1e=VF=MC*Z|UT#Q7ht&f|NUAy(DNdO6zfqYEc8DCp!59y=wBiKK@IRT zpB7i3cOO!;Fp9&5>DM)L>7DPd{YS>~Mung2fb=H1U^R)~echoZYyaUW=xFpF5Fzrh z6_9Q{H4n_h6`*WeA`I^#pO9=wv{~@yk@}(&Huh^-PgV4@Nv5hMsRiRW!TSsTg(nRc zOq5Kf^4vP#ifCS?KpHK$->m=&gE?WI&lM)?`n1f_m;~!o)Q44LdvF0NC29^!(u+5~ zV&C;3IdFV}soD>LkY$r5bb#4W#Lr8z2{{i*Mf4@iz*812?@-K4HmRh}Hr@AWx_a>3VO6G8zqjm9>R6`PEN( z?xy%?`NP?}lytXuq+EP*pTxIYFGOE{1K81s$g#c`qMlRP(sLwL*LKff1!Y;=DhnMf zn3f_O&vAFf21lWoMiKs5_yv;aIya{~iP5GyRcB$M%z0oJ+w-JdJu@8xw=(WEk@3y3 z@(!=a;kh=*>kL@whI^4t^xpGFDnr7whJXtT_d0v0BTO<2itoRySHu7@XMzK$LYACa{c3>Ee19hrNue^E4a9w$0b z@8kHA484R)J6^Rmc@ShNK$vfY41MnZy`KU)je*kv-h5EbY8RU)Kpi*Npl4)ES6)*hPSLDD0S5k5H zzipDITm%u!xcoYC5pqA(#>Gef&bv_fg@Y$6^=kXZ_wcuJtey%g7nC({aLH~tRMW~= z1+J`a71u4d8=|ubj3dK*;VG{C5j{hc@Igt2soTS zZBYbqhY6Ir6R%JMh}#&J_?AojMT5pH8xx5J)D4{SFPOEbnqy>Jda1G7D?k3r~N$8CCqq z@%y&4SkfDGr+hlwIedHWzAEH_6yySMEA1#K5t%u)fy$VrJw*I^kl#9T`A-%rPB=g7 zbBt?)j>({jKAZEmu@;okH1B_Q{i6&g_b+SCGJ^BJvGDmDdJCO%ZhwT2y$l!!k50Mi zfSS$cYH=!$n~SA#oQo(+nUa6O1`I&yV$wULD~c^B(JvMvyJ93ZVVR>$N^?-=)=6%o zSsu-d5r^(H6cHD|K3F8*Rom1n*lHvnQf5V8g!QM`(?oVPB5Cgb`Y&0@e>k%g54_=* zq%5izlM?)G6yLx|LVqS$AChT>FTId>$X~cb@bAdG<~r}X5Hg~0cX{KBde6yUqd?{2 z9p%JL)!>hndQJG#`;Y(oMekV?T?QBO zd*3!>cDFUR@)@Q7ox}GSVDNnw48z!;wbzve1#jwA$K>(~wJd9yud_MefIcUuR_lP} zTQ$ho3!VyQQdTKvit6=Ui$8N2&dpBZVzhfwuYP~_sxJRws%8&g?r6roz9w@voK-2J z-{@3ZIda>t|A1h&>`gBTy=Qf(S0DGOM?S`}l#{pEap53AFwM=a=Z7{iIzziNU;Nyc z{}m>GGBi3~_c|)Gu8z9Bfs*QFn?r^X3(p6QtuDi_I2jdGuWO0Ej~3B?8Y7zeZ#3j0 z{^hZYnDV$Of9CS9fy-0h0L4EuBvb}>zu)qMl<)LO+!ZYP`+Weg8h(LG(53dB{H~2u zz{qN3?oEBVeY|g>So&{t{akxcz0xxuD*@!lSVGZ|p$24>BR-n{M!vXMwsw-#S}b!i zhq%B#I$hJo=3G;p(TZlcT8=&L>bG7Pv&LDN(OBIJeF%2ycWtXc{19c*QhkB6laisi z&?iZ;JlG6<+cUs^xj5-$%(6PstDQVk!=06^QdD06h)ongPspinJ~#3k&kTP42`>4G zg0b4Mxv=4T;l!-dLU9FJP#xXh!CNv($-5fr%JT0+gbL~`xZF#&x)NPD(E;#GUG8T=KZ1+K;NQ)pbqHS_8M|K=bHAB89X!_SYbNg3m>Sx$mc)e zqSV{Tk9db(jg0;t^RFhtL&=OE4J7r8+?F5KdTjoT_R!E2(R95J7IWr*_SQ}+lLzK~ zFMi}u6UQG+GWyA{kw2g}6Dno~M%;cZfJ4g%M-@te)Lg~US3ORi9JhkT>HO4r!`tu! z&s%Oqp+5fxbKEA~1Qv_y&Hb?ned+5ycb117CjlpYU69OSwIIjYlkTPy)(j3`?GJUg zkrW)7YP0+Dy7puUhy^qhL_}mrTlPi-K@p5}BQXYqBInlRd)!IMs0&&~hPDJPozZg9 zTZGml2aUA`;pPC$BoqO@9_T8T#9K}No)I@XVZ=`{`GqhI8$1h1DNo6QM-M!Y7&j7t zP7aJ=Q<XN54e^;Z z@D=)*Jhz;hab?8(N`v*W1wpaT418A+C8p?SyZMh3qN1@i@w-)Re8KFgoP*>4RXvDj zxDbjtyp*SeVkznkcPO>^mc85C>v<+Qn+k$YU`$ziPT2cNO<_Dd9qXS z6j<8xjl~H2tugD3`e5k2{@eWCKL)I`V7}Sq)hoPVL{XnXLmED!5bVd0P88DJ&%p06 zYA%oe9b6a)W}pL{JPzRmO00U+q(e5^1cmXVvk1wDMZDAu;KqVM?Taarv!^#FoAY*Y z;X-*(-7Y99o}{r;snRtZKX8o6^m0XgN{-1$!o@4hcap@FRMj{x|D*QOx^E$rD zM=ZTkL0TdC+z}}06la}0;URUX3@$G)abTDVh_|4!Z}0^ie!n}=7MuR5xM5_xo^mZu zu?U-#ST|rSrn)II%9~QrTBsff_yI13QL|__m~Xo&Q355{;!$U$=mUKi^dCX5?!NfH0DjQjwK`e~;#&-lmQdZ`17T_~Hz zNr)Da94(t3;Q45=G1KV&h4S<}S8aUM_@nmJB!& zMwI3b{EsN)he<^*kW5k612-2*1xp5=B)zJB{jM};WA)s_YUX7Jr$mS734o5Bg?+Yg zA1wpE&=*p5#G6|PPh@$74gv?Or&^WTJZlf?jU~5WAHGd6lF=5oVl$)%K7%u{qG+LC zDW!@ep}+lYw75{(v8V#3ZP2!54~5HHr-UmpD5_RWFOK!W^iju16mc~_670t z!zrz7_gYy`<$u0JLgT4Y}W2QFhU(sNL+lWlUe(x@FNW$4qpFulj9qK<6Qm>j?6HkfV$CX#0R z+fK%miZqHq+bCFk;96p@in<5&dh9YetUKVp$8OT|3G|(#-#^rcj#wdye=E(SgRAd? zxB^eqTKqB)7glQyQ^EKB9u*H){t^ia&hDR5xk@P2OgYl5Xd8=d{nxKge~ITYml&7nX3;rShrR!R$xTR`-81KLlhZm|y_w1AZNzG%uUK z!&Z&{AQaYt&w|ulxt6*xi7E3;vVhR1Ct2uQ7U~d=z`wIvXVEQZvUp_z-UR<}`+ns_ ziz`*w<;Dut(mMX5rFMc$bC{zYK{3tXZ()NhZJ&{HAR}vJPm;$ZZ@O2ahFy?>C5-Qd zvG9Dhdd}|j!K}idAF$cj0^n0T{ol}zY_0k$eOZO-597J>y6vqw`>jWP?{4lMBco_n zVi><0Lo4k_Mii3K2^}M_fWuWGlQO<`lYsBK2b}A14qz{1ihHJd7I#Pk6R1TdrX3<2 zk2OW3apFBml}k79<|fdou9=LHP-HiWa*uz^k6|>BsvHDOi1uy?ipPF(+1&Ufr3bAC zl4&WQNX@y2ur@U1Xy-yMYy+v-Ln!=&0PyM( z$%||@^%g$&u|~TVU(u} z&D(=ZbJox343v-S*I(ANF|Lov>B2FwtHG&v{+&F7|L~pyA~UHEq(oM9XK&UPa0RAb z{O*({G6Z^$RRYOce4^2Q{%eJ}@gemfkzLQL;^7iPlZN+S>f0ZkQqUh$^(gu2JdxQF zzmDVAKEFqGk!)MaF}{C@s$KXj87fq4)8qvR)0-pVHbX<$;|4nb>NIf;3IMt}IrV5F zLldLBzI`gDXifsuQ5x+~up-RJ#6Ck(y7y>Nk`zSw0(>Yjt&3NSvx%*4!*_FjG1C-Y zspHRwc!DFd%YJo-Ba~BmaYzK#x#;%7cJ!G30L#!%MJ+yPIxOwscTPf?gjAC6fm>Hx z3(B=}U3W?Mby(K(*FO}*@B-}8Jf59}I&EED_pGpQnd*UNVlr2;2Np~be%i76_^mOu zjTRhp+yo4;M$J4JPe{@-yHl6DNDVp>?eVT(@|BV^3f zPF}*IA6>+NFI%B^fR`2zxzya0eG$>tuV&TJifju}eG7G5p>pi~O>@CIU`CB0@jgUS z<>_azoQ(CuKD8ZAcu*$ox@p_YCnXu*IFCK59B9-0#K4__%{NeOsV4`D5qbE9UW1e} zoXe(nSIG(OrOY;EL?7aTf-@CGG`a-PPt53)5i8poL=TeGD7_lrkjk8La|oszIcqn| zl7b5~ZeMUYuB#0*cP5$CAcI_oAZk+-a7x%MfT`HNMB z4hXZy_63&PXl<|I0DI?GTa}Ek0ZRVwpVdP=*XyS?lJdtL^fa_~dhiE;#jK|ICfZ`~ z!JA{h|5y3r@8fl+HGJp+kB2)eHaHU@>R2w_c5C5++|iDE%a37KnhU09P~+Q z9aFwqA%uyir{c!o=q(}Bt&5BpbR^BZ1uR?$7r%?molY;jV72ps?EqZSuDeY`vn8nk z7}a8D%4GoL2~2-g+WS<8MUj_Rq6N_7!evI4%I5Ol$e;`AjKWOw1{P5J!HM+eqCzV+ z>Nwy-mcq>vPf{NKDMqDbqDy`Ch$m(>{e`F88_nMF3l))u_dl3gk-M*91&{SaxQ&5{ zo{7o@A;Mj(s(vr8ol0-N?#9OFJe>n!;#_0aHKd>vko92&Tyt?ft-T*HfPt zC2rQ$DtXyfa|%v2(2fXWt+d-OX$r-zf@S;Sg+`~ErHx=+Rk2rbmo)w5d||7KW@qN;euDk}GJ>{BdXQv0BevKGEN(l;DU8?2CXjdj{xyQr~sQ34qKqzX7&BW= z{3AzgP^xq&HgK0%x7!D#C#@b zL2wa=L&IcY4u4t*_vJfFSD=(E&ed088rYjT|y zCGx)KWUa!|k8HpBVt_@;H^qYn`mnH{nO-GD6tTGeoN75dLxbs1ZHH~Q z<=_}YXs>=gI$*inKvqUe=|6Ayw7d*HL#XAiysPq2vqo0j`v0$X(f-079bF|*(tRx43bggnUi zKsp9~*s19!N+IqS=K4P<^0GX@@`Kg+a2T%BT6cc-*OMm>maQ+rogyjS zdpe@Urog?%+ntnfIyYB2Zf(ihcHxKGhr;*&GO zUI)KwyLSuD%sm&H4Sm;bj#P(nD3WTszY^!Z+Px>|v)}B+fo)@`VQA40|A(9!g$N6>|XI})L8b?3v)C@xpt4msJ{g!P{!Z8VyAYQgG5-l!c2KC&<)K*r=46%r+Y^O z>Eyk2_;l^OKdi1)`@XDkneHw)P>4fc64~f6_W1qaJv!g}>?GJD*&Bq4^h-Zp8Bfl_ zr~~+{XRNaG*G?;Sc7kztL0=MI36M<|Go7zu?wb#TO}fZD&-X)I%NspLC;#a=`{jPH zwm47z_v>2yPsd(s9;hX?5g1sdx5u+@P4`t0g}&M{7BfL4}Sorwzky0mJKYwfeNswB;436-@r5JxB-M!m*Aa zomb!Y!Ugk#D~A7*=kcDEX$i=xkphGCeKpHU?pPiSn`+z>`u0keUiWkCy*XnI{Y)v|dnIU9_8+SL-iUD#=Zn`)u7$ z9CC?oH>)@{4nTlK0E+^0uG_y^axSTW;>g1enG6V*r5gY@P0THK#!5F-k3iR01rh$C zkXgi>ty9QCJtIQ@sFrSm?EMp4`6HyBDG|SSsldB`S=PnX&b#8L;sjUW^88lrw*myh zL8O!V63X{O*y=LRXB)kOi^WkOL~RLO!m+FSjREc(?lLEs{$h8dH($wf#4-uv9$q&0 zIsgu^!%IYztl5XaoN^tprFMn=Eww_ZztvmN)^VE&_r6z(D_X~WVPkp^3@{NpuIb+Z z3nd(8Wov8yt_H4o#ax6#^FvALCulfNS`sIpx#dFUTADA3GlxwU7oE4j(+^@CoGBf7 z4>~w_r-IRGenD&u-kHC&0dz@mtX5&!lTZbg>-*n2m)$Ol#VZdF6=?*iQqy47kh!6Y^Eg7vvYvp0{IF}+ z(7Q}`cNarlMZzfE!n%49(0>0~TtS#xK-3XeFI``Zv|tJDy$&ze4nRxPj!HB!bU3k5 z|Ff1eEVRvERU)wttHO6P>G$n353*1C6S6yD!(XGex$T z0tx#?mhFpHr`J)S&&{Ve?$aWfYjY9T{+DBGPq8dpA+^du#%hbV+i=WJhTvb=bLV(W8?3fF6d$E&)-j}ZOOsS@Ux>h+UUzv|05JN&MFm%* z8z~BnbWlKuoUNFW{jhwJgt9q@UdCj=MxUAPo4+1Otj*0&nusi@fmH9Z6@xYiT_D3@ z#N}0~z@mvd|gCTx($iDc6a)%`t(~j zODv#Dh!*=u6V{T_8%P}+kl;xmt@&X@O+&=yBCUO(EK<2vtf_Kar>N?MNf-Vrw9VWByO+x3S&V4%)a*r<=`;_hO|bhFGgD6Z-~xOIX$IV8VH zm(xs=Yh)>j#F4EhwgAjCgSOh$MRw5mi{W*4qFR#he&jT6&T{xsEe<-#HtZh!8eT%| z!4R)Bt6AIFH`N4mFNP8a)vRYZ2|N|w#mknNMtuEYK`5rOu%YgH6(kz-p@^2eDqxPy6XVc_+7AV^U*V!=6gjMy>OMDd8ztwLR5m zK;xl+YB|4Zxs;*ON^oG(7_nSR3;gdY4&s(%#1z$wpRBt_2Kk)BRq4R)KfnwYKmNy z?!}XnY)}B}(;oGhfCcFc$>B0lqtY)24%`}AB;&rM~tsuj7hrm{2#cmrh;L?a?9(K82_mPdh?g_-Yjhz4>I=2?u z{_z_(j7fO=cGSkVjFZsFr!C?LEPaFPcBzeQhf)J*cqxes3xGs*>#l zV(0uJ+>(c`xW=kF6l!~PaTtu=jrO`w8=2%YRgy>39?lDO*dJYHo;J2=2&EB9=f>CW zm+Lvy7dto#E#F2=FY_(idmJ{$g*3Jm6|Yx57pdp@aeoWxoCu5`#`Us+9|S<-^+Fl9 z;&1o|l@DSzHKWT`z}<96!Vo(Ai*h(XDLCmuzsoe z)nKF{=UwQ2^^^Kuffxx%zpBoh*NU2RoaF$hM<2vjp^<27dJ!S z9dg&!=}o~RgyNoS55U)34n{wvb-El^3TK3`K*}%(%{dz$MPZ$y_`3Uh1XXLH84@~H z@5fW26iJ*yE==Mo^Ayr9@rl#JreZ72&JDh0ktgqtSatAth&n6FOjq4Tj+jQthL&y- z4;wm1f48e;uhw2dCZBy@yLrz6bdZA;8dHBos(E`&N!B8-H@q$yBC+gx4g$_thA9sW z{nzc?Ng0~3=FBPZSia$TN7i$*C{H;?NRQvh*g$Sf11u;fw+b}c$YWMZxa^Qo8wxbqxn2mk+Wu4~>qy^uAwG7?&vD!} z?n=G0ef7T1LE)-vTSpABk{0+q*EA*c+1iPkGCYLF?w*VyCV40Ri07Xqx0TgJ6fP>y zttbzyfWmDq*oG=o+I9XmDtG@_j91d;cOq*sQlgra3M>dWBo~ZS=CH3sPz!dHZWrvb zR0KmnSew^BK=CpM(D-Z-?xx?3?BaTi0&Yn*Ap~}BY80KRTCN?|rV(cI-0Ic{d@{P_ za5rAxZTihUpG_;Pn32!g$ z8~S*1AW7|hYp^6a=DZlRQXcU-B!*FAvCQ#NCC7wnMFVrM1q)+ajhvoFWW9=TsssxD zP95MqnE8Y5q$fW}aKKG01Cacy_UK%5Vp)wMUmP)NWQ)b=Dn`e#c8i1iR}~%i zepFOoLP!OTrP)}cmPb#GWsA#8Ixj5~QSleILLtXL>Q@eVBw~9t2-54>ROJr@fkm~W zxE49eZ!0|%w4}MUoE(0bbWj%-6EaR5LZ<{t%f(J)KGnIkVzqxIRFw+dzht1glzuVF z{$10xOH~64y#rg)uWa9*E;@0O?>W!!^!}w)nkgPnF*wRu8ro3;0j90&gSt>x!7Q8j z|E;12mimI0RJtb<1tAlsgKAf=rH1NUhnpt_YjTqFp#P7WXDivTl{TwE&8!IlRyu+$ z<|qbnm0NI@FgtqaXNkAC-BkJM~1r>4m^ju z>*4P8x;}A(64p|2n|3!2|AGPW-5QT(N1clI&07vTf<9l~%Ere2&#}S*G@tMzr`J(K zjZiIR1iU9tjOCcOQh_1o5FNfa=rY(G8nfvu8bN&7HD1~I7xlj+sOA^MS~WUpL1&LG z^}kLJObpfchS&KO&9(f04|36-;c=G_Tbd^?7<&@T<;_ntIo}%>mdVBKo>NLvbV~iv zv8huV_sa6BQ1JNo#%i9qk?!HUqiy7R95LBW(hac~3IsciROH&8UrP=>`6l*jOC=`d zq4rn5->A_c1aJxLSTJxf^2@qodBHffvf7x8&zap(VG44o_tE4UxpFFM=WH4Rh#vsC z?FT3>(#td*VXoEx^@kaDFB5Yl^(RBoFWAV4B{cXj$t@;KbqlGPqiUV^^X|$UKaJ5g z9`D=oDhwT>6gD`$@1a!9fAgr92Z!lhb}-m(HK3w5TCiN$Jn2YF<|xzeQT@n7y$y^${CA1{)^Gdt4M?LCEs#2b^ZZfV#-Z+d%m*kyMEmAXA9 z6YkKdO-&k>haP_H#@E_i^3&CMQlY-7YDfyGr$i^nWIx$MPhl&@HfY7Pu3i)IZ>t_~ zymDBJ6(9?UcM`sS#IelRbIx%WAhb_z!#w_o8tB zxA!lQ^dCQ{Czrm%%fBya{@x@(5B6?KJa-Bx4Ji)ZcuzFkc)zZGVZW^+%&p#As- zse7C@_xfnUh542S=+SnKRZ18T)59ztvzZcr^5QnFsnf>xLT@PUN`{Y+;$a=nHD!+i zCg5z8ftS_C$WJrQ0YRC?YUKlBMWj(h>MJv{BlRAMyubixzY*HxV311eI@Bmkd(3Qf zz&D5FRi7|}@Jf|fVH2IYictR3I~QYmBazb3dCs@u*P0S}>|5DDw+-46ovi6ylk1EjSuKRqoV%7|5qdMqpqZm?qz$$=o+1IZZ0JI+Wb-GIT^?!P+ji2q&W%TBwxtj36N& zW7q$*Anu?4(9*#W^}h5`~oBT*kAI`CaZ5V$0rU+T?>chR2g92~aj=ojc%T(YIDni;>gfy$V7*xs|T zK@`{TE(osMPGj5-R^CHABc95AL6gvP9Qh~vh{~w}r)N%N02n8BSjQaYs#T&=(zxo; zEXszWT405u;MSD@xLTo6zS(187^ha7qy);N+0=b=F<4q%9xMCPD=n`SxOq=IImp{# zJI=W0eoEmQP!^E*pw=d-GX*KQppo%2^kor~QWoHE9VAMlWw+O-=S~AWn9K8?b zt4aYpSv}ed#QILInV?R|7pyW)q!!>hPaK|rxRfK%x#5f@&`jr?^yDl#poFM2D%j8QOei* zB{iFwPiX!sTF@8BT|2gF z!k@YqmoaGFbK2@|j{I~XojY^jgFS#CtgICX-5+HqfR_1UxE=ZAQ5%1DDy>HJP1aT; z+sS-L#lo`)L7KIdI6Jy~UdVnci5`mB>ND|@14B%{~y`0rYc%H-=0k%FN&VY?lDd9kP7Uw&~< z>)^jPEAHbZFLMptZmk2z;qo%3|E6DvD^br@_cV-tEabpNJA<=Txxn;zx8YbMIqjxq z(GLXBz>+5I#keO|wns=6%+|!KF6jpA6r=|{=E~y22r~kpS}#VxeIg0DA%GNn7Z!U2 zsmov4mb7pjlHFj2GV+N5TB&%RTD*ifZMIZC*JtJ(dD`N|dT3FZ2nVM-05M5pxq?qX zGu#xqfmL^2wZ>EtAE_Kb;05n9xlu--!(6~I^zSM8(Iqz0P6;pBz)wKkSY$|HuQR*| zF34P1hQAg8jD2Ai9Q>-A=BGCJQ!k7WmW%Qbvp+g-xO-KzEzHgEo=u?~s5tt=sGN(D z7g`cDSxIb1h0bZ{A1f(1CRmmo&IQURe98{$U-q^^WwUw#x*EYojW2zr5U$VVzx2O7 zQzQf`;%B8o#ii@+SB?hGy@Pxm>j}!uz7mE`tO&(Zkxrf0&V9cB=D*F;flra`*mSJZvf807Xeq=6Ep z=PjP8qbVUyDh@#YZ~NkUzb5)v?^{F=RjO{cw;IiGt8i@`+TU9`tTJ3KY4ExXw!ct9 zCvB`}A;1P7NW?0bPG!55bsF1tuiD=>aT0Wto8##XAq)M1&WETnmL|42W(iz%$F7YV zryitT&~sWZFvxZqu(uBMVq--7$%>#6x#3=k#C=cHDYz${A$h)Tv9;qt+x3KRH4-Jh z^+<)cM@~IV5>O%x8V!ymhNpX>(_bJI7#r92(bq@JZ?i9a?(+z!jr{jyQRm(77L5U4 z>+?>0Yk8O=F@N`+-1na0-*@7Q=oz;*?s4|L;GUnc$87!J7XlyTt52UGzvJY_nxQqEc2NQ|hUHOKpH(`;tkJN5o;RLi zic;{S(vZD?Q0-9Bx5`_%DL3iYlPC0&b_i8u?Lv~*6uWycpLn_=q_f+ZEQptNsS1U? zsV=Uto={h;p4nz(j%!i#VGQCYlXR~MiP1XU0_$mwYbv8-_csVKwXlYu5{ z-uW(sH0S&TD7tBh@AYO2*gGdX{=_Z>*wkmzkJ zRh(+RxUj9FaO-F8oBs}8Irnh)O_{aS2sBl4m-KJBG-Uj|*N(}+v8<~zM7^n^+udKm zv1z#!v#JZ9UNv%*PXQ2@JBz&6n^p;7kP8X2_RNrv0CdkMFSbZd(#Bv&UkxZ-hsU#R$wVnz6>RapTDucKDt|m-E8_%UPTdfM_1Z zzlLe_*oLAT_mkB3BMWVRgaY=WwH*|R8x*@s6o1utbrX*1$C}jkVcCcTSZ24}Kob#E zEQ6=HO>L9)#a(uzz7SIAzFEWgn`B2Wn&y?@%kfJfGK0P?rI9~bcACMXiXHs7T~Ca} zJVu5_e-gVFdhom7sgFH5T(68~uVB1LcBbgyg2JKeG^MdlnQc?0>+2aC*JB@^JhZe! zD*2?u757;BiY~$sQw&a>5vNQ&Vr~sX*i1x589q%O8t46K^x?ajrUiNI3@KVkdKcJHm@1abU*+ zz~t^4laU!mG)OfdV`2K;HIqB5(7k6vAAi$SA3-+=eHz^X22Yvn7 zVoF}7j6{4)v3jZ_ylf2y#5zrggXK9}WNED$Q|DsnYfmT|=R7Sbh&|%KcR0;?28%$*IPdiyYKix#`5|oi$5c7y zSG-H788`sReqvIVU~RpDn_Pq*!p20Olxm{5mciK9ig7L8n9Q4wr4o3zHRZ=oWoPZl z_aEthC{`SEP>f^eyz>d}BOL!~r?ibeTMnUbm{wl@(ZsqZcP_nh_ha9o#u{ca+Y8@G zyxrxsvm@`WE@ozf-&b_BW!Nv+22eznY58OrV<3Zd>x~>a&TCCr7l-GhJG?!3TUKMb%+8t|G1P@x zZB&!1K1*kGkhV88V^1KqD0_FTOygzQprgm>Kyoe|`D zsg@&NJ>l74A9K2*T+D2hcfNErGm)fjZul}Zpr%ank!Lk z_el=x6<+Zpip2Y*|F%yr(W~P1XOH69rZEwz*ema=iTJjkN3BI(IkvLN0 zWqFyFD2N+h!hTjcSpyJ%Y03*F9HZ6TAWJJqN>xD>@QWIX*F*kFL6b&wj(%qST_$H; z=+o5M>IO1-taQn(^OBdyXKy7m0h9h5LKt0?lb@Ga@|W^u${GMH9@Lc{<;%O*Cr)+B zIZ|#_j=gvlecqd=M4w;fKjxa~yfr_&Nn znDst3x$UDppbjk!g@g_wDW7lwLXG)i{ap{C1MwbWwOWj6((#WKxCL`JbFqY34}%nf z0IaMlcsP;@uT#9eJnO6L_0O9@lj~zHW?nSbShPMR0=Jlnsn<>tRn@{EnPt*5WNY7T zfFT+Dv$Ebrh*fZgZei3aS2Wyg4-6s{+Su?jY;tdB#_&)^Jv`%>%JDBIl^dpg^M+@C zqDF=UXDgQ=Wi?HoM$gt85ZOZ^FbBe+;mb+O_Bu;XyFzp(xW)2=Pvb8t{r`j(|=QMOzp(?o|n!<-Zi zYO3|X2`qWrro=&!3T8!NcYO%bBPMaXMEb=%aD$rffdS323Fk~3N*D&eZb#^N5p-;P zuXLI@HrTr(G_H-@){Q^OIuWRF+FJFV6{fy;f0S=asIAPb-P>|dJj*ex36#pC{hO1Y z{x!|CDEw#)qK6U?J}FzT3txjvGptXGhaR=>%(UuqB{$hOMIos#@;*bp?;76L;g2#;E$YXCdC(fI~HgQ!w&B>?%K8CoUPO4+Gs4 zA+6vxE+Z#zFkL)w>39`WuH>0BNw~8qve;Xpz8I7(+pmxbRSVGG*v2LJ7Q~L+=^LwO zHXL=)z$6;NJuqTd=KW+sU_*3RSGU~1zxf_aEq%$GY$5J?5)KuiXTsrA#Kcq6J%-8AVjzb5sDtE+GypRZGYEqg;EDxVM=ddteTIs zh1LEoFOUg0GFdH#_bk4NQ&)Gghh1IHx|1LS6l#ST9Bwu}A!RmFC-8fID~)i zDUu!GG~&a^|Ka{#(CV#)&%%!>uK4x6lI^=p7L|FO^}eVi_U(P?P*eJ?gUi=n*T?Jq zuj+$v8+(5i_{Z&NTR6apgLgD^aCxF0{abd5DU;l#r!fziVCucr zU#pS*xDBjGr7eiAn5aj)2z44Iw3~MT@Aq@#D4@yhv}<4R=gRy&cK+EtV1c~W_ACIF zUQUsUC^1mI=XyZ|n6TAu*a3LrG+57hQD5*6G-evS9hp3u1qmKlbLsM3xm%%;@d&Mp zZt%bmdD%kHW0rU0aEHGU`227&DM9C_w02~;Z13rlzgkkgqUL6EW~FCO~8lA)YV3< zByAF)NIgK0j+#gaGEI>79Fbj*mj-Pv;m2bnrKB3eG2iafb`z7N7q&~~H{^w1CZKO@ zO(wU4G~8;8LmjtAyartcNE$&SW|`FmWkqUbowq!P@J35oofllt6Aj+ozIijxHWq(B z_tLiXlO97sZj1Gcb>+%QTix`2j#GI1q9|yCChF?FS|LD_nm^o2{#ab*?d4pkUix;5 zD8JQBG1|fVH-)qP5>y~QFz48wn1eUJ=Bru+mVcN}TgqQ(4{Yd=wc&pNb^AVZejZRe zCnxWcQp@N%{LZc3EGd{C8XskMN&Z;kS(~-Fr(VtFLK0i)k)Y7u&Kx`IXB&t)b@ul- z$0!?3+S6FMK~>9bLx^qmGMOJDxnX`Zd*l6Uk+hBMvD-#((XV~z4D$kBF7 zgTV7Z4J*m4r{I7t&J5@9vSO3wM+s~NXx9lHxZ!>Wj$JM}*UyeP01v+vxNcJ`pb3;1 zko8*3$uiAF4C_wvW#+2Ndev|KEhqD(@FJ&PfBkC%tVqtNW^W{b_su=#ngI9WFnfen zDQFOAO;Vv1gqY{?kiQZ`u#?C1x>u9~&6j6Y0#oxsg;(|~6WR$KMI6P;WvOgAoo{FA zl)Rc5nuw%L#u5r06tAInl;wQ2#9Q(w&@p>=c%hYNc`M;9iJy?RR7~v^;_8cmlQ?Ph zA}Z&aW>70clhOG;ylm5PY08Z!nYP5EPIm3I5Heg(KzO~KCt$?B1s$kAp5#vVODG4$nz`-1Ol(bFAYg~ zi8l9Bz3*x~%W$b(NVt$q%7)O5ZY(4pi8eD$d#E;3e8RYx_~w=U;?bh1yJuYkrzX|K zMio|@%UdDkv~ZdVAxG9ZD1!rD+?qbmNX0!`8IiAO;~PE}nQv!TLe z5=BL2yLa^z`2{fe)vo{C8*|uS*tJp>@w&O07cd$bq2LmH42sktr+uv?2(sOwq+Wqu zZg`P+{2huVJ5|%WQ<@*4D&_yEtSQ*MSzYZK_HK*X(eG=@;X$+Kb0#lBb&JOTKFiKA z+XOd&&}D{ar!?|x?|q?r7}geRT^6l@;XMbvR3gr^cLj_)TLJ&e$1a)e#`c|!F zyl~rkL@uGCF{oh{cxyLjNH1k3!t^6RR!qEHWooZ#sjmwei;{mth+}bwRAb!>Ds{a z)}QT<+LO3=fagenKJ-13hOhI_BiaIS*{(DR_YM(44VB%R+YcaRGM#;C%$q}}c+e!+ z(APCjh@puDp)-9U5L3~z2fhUMF^+teG=v?^D1e^)HCmWrlUESLLp_JsBFm4|CHrP^ zAIIC)Aa-`|sAKC<`s7E5?j6WqvZ2lnm3%aMhjUD@ccK=}7Lel$T=YOnSE>(7`|Vk^ zTt9gq@D`kRuHk7hGr9GGhq*a0FyiOieOfy&45Ey4>3Au;u_XYXV5Ia%_AsJsmL4(v zmXhA$a;(9BJkmXp@}z&9B~vOpa8SJivi#oQSEUR{yZlgq>u}ih-;#*^lEsy65|Alj zNs6VoAkH;R*&8EeOu?5AFTlgulK>A2PM}r3PuZ(ERQh_+6(3J5)FX9+7!{FQS(u4r z6YPvCsl1lC8l@}!Jed=y+;G>E*^ejf^bQUq@Fnq0xJNF(y}2f4-ILJ{i@@N9Cw<>` zVW6gyhh0`PMo~Agw#hz4N7SZka>p-a%e@mJ$|{%f11Ag6T5|1Yr1I$bDp&+xMd^T%EzLNSY>TRe9c$t%J3tr~aQoV45-fVsjE_@&gr{}}OkwkFtJCC(3f zhw}Ajd+qmIKhs9eRaQb77$`&>fI4>`3EH^%0g=dHt4(?Vlc%4ZWn=K#I@P?ql3^gm z#U5TXgmrh6?TE{(GZnSrzGcW>n+|v}r!pTawkT25OXJb6nXV z9MO??Sr{(|@8$G3H*BdezOH(GvM-QfcvoA-GdA64$9LF03$;3V^wuF2}wdA}QF(U==YYMFr!!HW&E=Zsva5p0>1 zQT4m+TOr3k&gTXH~Oauq~mUTD8Pnqr}W7)oGF7+c~9gjNxBPo zj#j}rs(2V|vsWZ051G0UiuwdGL#n1OngO#pL|x_=)RwX3=Ys`qS5n1Q48LCOQ7{@1 z{&|g=yzL%p>+_@mW2d!XCJpQdLKKf`3yL*Oo#6^juD9%Wcf?LgxsDoonqT5KX*$8- ztHYEmY6=@8)Y{*az3?lH@)NsT`6 z2x)fOzDE4?Gy7M4gE@Ea*K}&<4-TE5EkG~S-P&+F87@J2y`78RG`az)7s}9A--a3F z@B27;-BueAE864Kh~s}q0IESF{fAT}V9p!Jfk;WqdC*mgBzhk4N2G%$fTU(6e>e)F z2e}$d#CRmznJh`o3llzrr`Hv&~s!ySL>s7=bLpjTgx@d>wV053Ivt9!6NIQ+{VG8J#-ZPOpeAF zr$|;E=9Iv)wFrQ(>}z@2J$I^`(h{18UzRnvg2q&x9xlz3t~{{27t#GAmPa9mpt`3|-_awOmUUpt3ed)E|m@YxUx0?PrFN01X?Z@Ip3>y z5%Ew$iDUDiZ~^y580Tm?$1qaTDpGvoXHmo+H*RqMk@+@f&%+il4od8n1x;KVC2mPT zMC6oW{E@xF+j)zZKIH%oz~$AQ`qulELKjVRz4X;r4_y$JhvSa8J`Lf*pS4cVRx;9q%3+4ex2{IeIwU*S8yMmMvO7i4bd zzphrusQYJ{oF{8xsLSTl%q8hGY#lY*UKJ}}u5>At8_DA1Qd#QNyx2~4{JKM}r|Hnp z`D22diF$w+#qpstPb(A~%G8YW)NBtB&kdJ629v_w$8P?q3~#o`{VAzV%Tjfo>Gz&O zLTpS%Dou+Ep-&pxB744@^ZhYdLDgXGHs`CxQbBaU9?0%ttHh1llNQZ9vOn9j4b(VX zr6u7U0R~m002U&z);4ZOm4wj-(kcTyfptA<4fQFs>al`4_F9J$?j$=;Xq6YXQ432a zuVr=Zs%dZYA6(6-+8l#RAwHU&Nh&0v z%5pZ8R;X%|28fuw>LmQjy}T)peMNDaL{C-wHh5LDyy-_dXb|J^_iWiiR&#n`H6X`6 zx`dEOJtU!%pETS2TtMcmmU4%YVjDb7!DPJuVDP@B$d{8!9u{_=I>{|9yA`PI!VEfVeBv)~>l3^5im+zS> z;Zn_UrUSxKK^BW`mSXccj8e0Ht~{Nu+5oH`b;b_z68h(75_;tYKtGQB;U2C@{8&9j z`f;tq&w2^hRPoSCmy7DAH?W|K8HLD@lCmO*_#|ZEwvn3=DV&90#_o5#b>Ov9&a<#u z?;nkAG=Nad{z;*A0m1R6OBSuWV(rBUPoSy>2Z}H9Wg$vCc(Dtt7K7Zsu2JE42@ZHy zx33jkPJI7)Wj^SZJp@_}xOgbFV*C;1(4uQT?~(oT=-kV}neSmo9y07_Fa<@oayM2` z6bb-Qam^i!J>Sz8$K*P+R5*w@fntRjs5zyUOJAb&ww&=dCP7!qcZ+}Y3Yu(Cr&y8{ zEXd*%-*5ZqgYHakRu?0Ub+z@Hat24yieE;tP0qjCJqYGe>SOV4+iky%0QE<9TgjQ;b|5qvGb)^*vN^j zOrL&F9^ttn|ICnr6GohR3Xqs7M@<#tg0fQxfD&v@z8{gn;+Ev z%6E`^^Nf7My0KU4J=a=^Kr&$0Q*Fa>u>r>WDa*4ESj8>!AFT@Svc%_>B)?M&ZQROk z6^WX%pZ&Udb>pLDN(o0pbUxmjmoUi7ZMf$r97Z#FJvW0jC!IS`O{Q%UhS=P_Im&`{ zT#a`;h-t+r%QUI7(T5B4<5iy`1LQQP&Bb#`@k%4l_aB4Q`HNUTQSl>6E&B#0j~hgR1Zj*vKu1)qgvI4cPs7ryWu1IZvsv}dK{fvdLymG zJQW%zHf?Jq&497gUN1SZER8ve>f5k6qR}1C;L>SQ1XX5NCokMK|I2NKm(wq|&nUc^ zUIs}#Is5WP%IpRngPAGEKz_Y^NLk^jC?Y)fC0ak$;yk&-$O^B1V5Nzwom{yj0#MC4 zPAu-AqOYC2*t(-)sORG%jWJq?%AW=fDSp3`JtyZTF9a*~7{S*5@l1aE#Oni+fO0M@ z5}=C(-JZ-MVOwNeX#;(%lb=TisRT|3n2Ioeszedf^U#Yv-5yLx1Mxe_j z+Dasjn6C{zuOFgjInyPNu->Si-L=X;b_z?DtTq~f&JFr(=3JvRMy?e4IvQt{Bg601 zzseoG_nB|*|H=c#k7LsF-VZ$U&niy`h+}HvnvIUqd?IlA-BW$q8*AtEcn-|sNS1i0 zmpB5T9zt)-q)&4f7hQhtcjyKoCjqKG+I1p{{2!$bvmt70K%fBrQycIi4gEj$8^<0Ai)OIIJU)z2t^pGOR_nC(e_V{3SOG5_8LNqbuO`y8{LBg0ef6 z>R-MXgfHGiuOC%=GEWMZ?8vj)g0VeCv#4@Tz+!!e_2D~pA8wpkyOC%WHpp{pP8_o0 z`QEIuihO>}z^F z4+`*Oy6g3L9<~M$i#XZd>Fn~7mn2YSzBum)V-r$=U)Viio>J}@5OPt{v>5Afr|C@8 zmEo;h&?7OC{)wBuAIhshq+=J`80@Wv&k>DWZ3fSU&c1O|GG^wj)jwPVCF#LHHp%r= zgq{?Z$#x@4+IxKY!28wi+-eDa{_-Hg+u!7EnmA!vytP`Qy>dU&I_HTU@&-(D4vVfZ ztn;UIoqqr!Rj<=pV$b&%VYLyTxwFLDf6vZ^N?RFKeM_;RXZ11{9#Kbg7d$ z%F{=*C%d9W5<~-%ZF-x=>9)RXARAd+wug5kPgp`iNrd%=e9?; z>;})*9L{p?>8-^%o%jTJjtFl_2uT>j9c`tKx(W>e?LOV^3lZ^WhGzsA#*O{QewW;r z)3nO0oqypx;-}qFZg4^8NX=ZY_v_w_m9o5IQ=rHZ{`vaq1 zH3;*?^s7?`a+cdsy+r%VNjR}C@RzKKTTYe&v20URRSsVF5wP6m)V{xlD}a!q`jE{7 z^15ZVkGt`0_Icakhn)W4w{qQ>*ESC9Dccn3tTD!NFye>Ck`v+s(L7IUWX|C@S4K~L zkvB#}9?#f4V9vn{g(6!xX8{LJc?q$ZCNc$k2po?E8y~a@6p)37KgxQI2QqdKJ8PeJ zJuGAJ24<8WJvrayV)Tw?GokmcKh(i8i9T#&q`g?{3{AFuG>w>e-py4@8KCDvJQNLb z4^OBja>Z7eKBET3jL)O?D?o3c&7k0!$bKJ%J8OVa8-m-ZnZTtH^+Ab##l$vxo@xRr zxkXibeaGJNv15p|n(c!3p6juwJUzUDHs?rO=XN$}6}EB} z{W|C~K$>Ws_EZ}u*tR$F?dQ1aUBP_L4(ovJOksu@)I1PCIGj(vucql3TJLIv#tFOF zQaWVyo_m5_ss07VY!$7kD`0=XS)6W0M2aefOayc z(Kd4)=9ELHoiOKP&S{RR$T6u~-P;UvY>qiqb4(@Ya!B3GS(H;Ml}0K_Md?m`yYut= zAFj{maXsGG>-~IPnV2!6aY!p}NeIYE9Xlnph5S)x%U_~GFW-2mX&1SDrcUouhap1Sk20bYEQFi)K6@Y z(Da|=7nHmWYT=zC;T7_3Jk<6;5JLn26~s4KH@w|=e)r*{snjDZKA#-G;7EU+0e}ye zmYv`Yt7@(1p6GA~_ES>hfEwwTBNSe>RJs1C&N~)7W0a(D4$+}b(T&)Tc{g4L46bmS^G-M-A5)x7+cW>tv zSIL!Wi<+R{3Fh%JK)#K({PFCm!C0d@r9oK3hVkIbUv)ap= z1vP1}H=NIkDQvAi2^D~SIz`}C>PsXZkeeR1RVU{ytAtpa zsM?L(=S3lqQemoQpnLC8r?(`}?uTK6@qK|jh}pg{XDQXLR){(YiVW`u8COw3ksRqS zS(h>Dk}54JZuLJ^av?cW5LPTf`H<#tX>wW%++|w7wqeEM^k(kV*31sL-WXuqv;kqP z5MY1fDF}J2^!Qtz_EE0#&$?BlLYVKv$mF=1j%3 zfdEG!F(L(DghRx8y5wxEL1cY@Pda`;Ven={5&3vy%;J#KY)`sH7s2T1GcNNr z-w)wYk#lSxo>1V0PmIx?%y8mqV9$A0%MuSj&MSv~M&Zqn#bSO+fc4O?L0&*%1% zQ7Y4XTS*&2n(O{)NHkdNV+K!;Yda&S>l8ZZCk&Ri59Ub!fxuU`(?i!cOCGD{8 zh~Gf<57>l|MX2tAN&~kn+zx-H8uZ+@FDtl92Kj|TMdh)d{+2Cijt;9~OTc`q<>pbG z6v2hHP+$6~+)JCmmol~zhJyu^u=Zq8b=PXO)nCg88W2F;HXPW68Tn{SSHmDrr!A~y z*k^zGGmn~<<^Rgks{hx{Ao;N&VK@!wu2H*VPVq5X6x8gquJlDg*gXFIyq<=idC4au zj`9a-YDnWb+qPG{un7^kvtD$O%%jh!17_VzrGfY$nfzLYaZ^fK>BnD&Tp$;*t&Q}!WnU)ixts+jnOV7_Mf=WGj zw@bB2BgtE1CcivA;_=EL5hw%s z<&_JJT?Hm-RpF{PkLO;z|JU@|PF@G_U{A}xnd@pAW+T5@HK!gb4RcmqR_z?C3EoC% zERzBoNctDd5ssk*u|Q_&c{>5Iavz%`K?PpnZN?ioMpqH}E_HqeF;=9d5NvXE{Y6tF zq?y;$%h1L*m;Ep8`>X=cITaA#Hvj!-^}Yf)F$@pA)-r%hxsX)>Oh$<*@3Dk9tpHXv z=(`I?FBzGM*z> z_AvTq{!{`2%pNu!mGUJ??&dL1%Z^>LSN>Re#6vmLVujnfvIhnSINX;22MuJLN$Zu! z?ky7KcN9U+q(goq&35=Oiv~(;rII6LAW#+_!Qe#YK4T54X;0A*i7(7>shTYuw31}v zARh{+AgGMheCA{Woz*z-Jf{c&X5$)_C;4`}CK_L8cbp2qVyVGql2~6pcRfQza^V`J zJmY{jm+3s^HL0dNkCn?!Pn4@&vin=2gohpA6Q#nP0T*O3Vk}i#Jh?Y^S}`|QETEh; z0M6xeA@DJcK`-6>RJ1I>#I1j4^_Zzso{ra}_LRK1Flp!SS#lg{t8FD+*|L4O24%K7kzvB@m&nVr=r z_W#;xy|%CIm{l!XF%t5>E*`vr+f)kjudGpvw25(YmwM+~nEXre9YDJ48gOquk=*w2#UE^757}erF zCAycQmh)7rtM8P`&~^h&vx{bklTvdNxs&M+f`<%yshWWRYa+KUN(0rh*I{)KJ=&jA ztf)!m=8k;`(gUTRK~4o+16-hN%m zBUkhsdcFVL&!=$@L^qac2g1j{CTb+8&|$uLN1xe{e$Eef`?P>rhP{2!Cj;ZUQxRQq z$PIXnyhzY1L@?cUo1H8w6+Y&y;6~Y??$WalluUM}-r&|XM)F<#5`;NZ0FA26U@m9b3_l8WyHlpSn z4N~j<53TTZ<49#IK>yj;Fs|Pi_x3W4EADtwu~iK{P5X|i^ znp`(AO#%KAJqJ+e@OazHS#hHplwOAKL}~m_?K*s2QZw+FPSI0!Fcs?5ue(u_@@NgP zCTxBwE!l4a_`t$6O1UP7x>;u}qI-IqZT{g?c5Ts?BufdC|YfIi)ivlJjGsJRoh;TPzj6HXZ5o~uWiP0zf- z#EVL&?UTY(BYPmI2g;B{DQwXfr3Y^Z_gx+n^eG>W8rA}<0v3duN4y@r!UC=epz5^> zsa0~$DVE^u|*M{)4T*;gcEut9qK@A_D;eN|vXK0I152a|bD?ZvaW z#;}kDj9squh_UcG@yOw;y2d;31_U@S(?z>iP?H%m)`cGJcKtDuIcG??LrokrmI}N#>XWu_qLXT ziqSAqzx1agwt>uS-)FQFVI|4v{=KzM7)s8uSUP!o=((E^ME29wK}Wkk2|&9A_8LZ! zsQ1=G!;@|DzS~mT-hjFe)lJ>?v6u1ZitOx|BqWYE+s(Wn&JX!-1Z{T_y1 z_b+9ozl*eQELuA^)^9Q|g8HtlFho`@5`_$!nwz8_zYkiZcM~IuySlc$iqa(0byDKa zIrppf4)JW7$|gRq_BsYSIZ6)QLR9W9m>@F+U(J-#aik0_{b6^tVv3$uc;H7|w(1== zE>Ko2Hch%b@gwAiMtlA9!%ZK1{@5lIkC4p14@*3O2c?pCz4Jg1|FeJwn^gnLV}^kP zl)Vg-o#ZEd@oI?@cS#n7iA&2r)ah$QZ{_wnypnA$j2Bs!W@y;Yt1TRzUDx6C=3g4d zt4%LGNy)D~0^a#^bT1-TyJZ0QEQ6S%Y?qi?IZ2wNiHPKB5?I2-Uj1ZUxfLwW{i+kH z_ano0rSi1&X+sz{lis$yN3E7_*o&6g9Cqi}#NNj=-WW5mq-lEvBsc?Yr(*A(i>_w* z*ic?|-cRpxPdD%q{U|~?M42Tl_o=b~s_S>gyJ=x&^n>>~YGz)hm5jz-fX*D7eX6ET zxaW2Q^u^jB)>q^^SDvD!)hq{ZF_-o;yKN!yys)I1!ccX*NI#3~uRCEfQ*5$`wr|}r zkZhL!+PtaK?2@hi+dmd`xj8v)Ew5BVaA$3w8`^lpJ}(1$M_^FPWjwFfWYP4VaVLH+ zBXFD?0eAmP0NjSNpORYa5S4aPDk7h`K^!PK7L&F7-2YRx$YkHMlXP6{<@JWi>Y|Z| zx3bs2`>`gwXRzOWfGA*6q_is_J`?T=jV58Ks}j zJNmk`eMK!i`_P7zh5D^c4_T}FXj#!F_L-^3%|p!$XY*a|HI4ROm)(-b?HvP7$0G_{=~Da&oe zn4?nQH#csPuj87rF}Qoqs`>5*mDQ0NtM)PYRVDD-0y1(zYPI;roo=t>$$Hgw5(#T z26@_Pq32AR#nt*I_=B1HSI9`teBF}=c&b4jCFau4YRf9M|P8rt1|J*a40y=F2?V@3rBs!+_PF&{_sLkpP# zwwb8#I&sL1nq!I2tj~gHyXSNvYHYI6mo+!d8kflFM9rOZD*Y!Jj`jj#ztwPN2{FmO z#GJI0sc>6k!IBzmQ}AS}S|d^|yLf^rEbkD~G^wz9BDuiZdgH#k zMO0>|v}l7B7Pr^t&d=s#Y3^_Geb)L7;D?U)7(L-m&Q;Ql9PE|rsjp)qEMw<}vWD#2 z!p7}LC}J|>R#E$nlE82KN?sON6s?RRxUi>Mp<XobpsHhQns{L%aN+lot}xunxNZTX)(kplXhZzC4+j_oz0-vmd6;;mdtZTuei6 z)Ep=~)S~5_2OKBZJT%jNUE5^?4TegL~})l7gQ^Xt1q*9k=;GH%Qup zTb5Q42G^lg42!3vGhMn6Y;-)Y+jfsnQtO}sZJlCU>cK}4m4Ap!f%2(<6ND0i3wm%= z(%y8J38kHkC*~J0xwZMpD#JP@zXZgG*R`s`k$WM68@P!Ogbth-@c{^l=2bS@@mdHF zZRdSo8)~u)zk(lUW@VbxrZ;%m*OhpyNZv}bT}>}UJlT~$!*QS@B4BPhomZXi0hzVW zGe)Sev^czy8x7nWT4dYR0U|Pw3?RqzAx^M>NCn4iomJ+oGEV~HdV#`PBp#`^F_R7Q zSsxv0_RT!;uc~jfa+tuYcgc1K6z!(NJv9FAjd%M)b$)mWfUX+W=n+vD3jOGT0$@YE z9jS_%B}%8tTZ1BP4G|3+w%H!*$*Ic8xhLe&Z;BG+uy1tE(RsRF?#}W@)*2L1J&%5V zzISxyMR>Df{5cNj%R0I9{{ zx^B2iywm6gMy(JL*M{&+2@~iXvVV)}4QwS|_Hz281v@QaU!QrnTtZ6_1~{i(wwutM zrJohb|X9zxk%651p=#T*YW@a?cqukdYv zE_&JXjVh-?1?&il@14@(#&;(sbD{3#ai>6CYssn5`{Z+ysIMhDuvaIX*k{T;dN*yA zni3K(J&0cVC+Ejld6!M=)HpP%+|{3Tx!}n@JkNReI+`F9nb+s{MdIl|eP60U11tMP z-~dv8``W#%LhO540diOZWav-Hu;9_my983E4Q^Kx_-w;h%F3_@o|k*q(?Hk&SKSAa zXqGHPRbwXIV{xEoF?FAL5Rtr!C{zes$EXwFh2cAx(sdB`&FNMb0TDU4m`^Fp8RUFvol^)dJ zZHBHjrR{76(RK<66V?NDC~sYoE|BLOnQVc&0`E{5w{pcYRUv~^;{qQm)csU@Jy(1q z-%Srf2M-k#lYm-R^h6{tfvo=u(Cx1p&=;{ATL0A}he|!#i#$nGxWlsU1st~Ciw1Cs zO+~XMa}d$fy?-AK4LgxJsOm2!UwocsB&+Az-IPBV10Mjs|0eAxz3F0ylLRd;lnBW5 zvf)pg5Sttt`uBGQgTOb~*?jsL?{AgwovJXqF9(3fXXUJSXSfr|srr%M0f>pJqlPh1MW3^h=A-XqKJ6?`!DZ4$U_i zmC1ds<7U|sRgaB4NH$aDqwRs>2~68ey-yT9PxgWaeQIOvr$au>DJ)k$>sgxe_YId2 z${YHKECV;652D7t$<^_nHe=!VB%RD=4lf;7>y~wDdjf3BXBz*S)3!C#XuVd5v`* zSvWAP%dT`?$re)5FVA$Msg1M*7UTBkyfW{P8)0W1398nlAN155z^U(i1>$jFi}fJzMQw9%Pd={n+ER*(-$0HN;f?eY!v^DwkP_=AbJu0fZ8Gi^>nfNbKJ3M z5NegUAyxm8dxkC#V6I!rRr8I_!>n)1EyJlnUumGA6Rrmm$A-)w?5;UJf4|2W2Gqv2 zcWIzGs(z!QbeL7=S6lq?Yw+hmxDK9ISYejE6V4Y6*KaLaMtlgD#4qM3GMpwO2S-JB zl6_oJw^LQQ+o#A~yXG)>IRz;TH(NPLj8wwIUT-@T0C%RZGY-`j&VK749j@bUu(qeO_6<#FUvNnF zM}{CaqBxlbbJ37Dh~V1nM_WIE39}ak$$^Twn4K=6(Mr?3e&* z(9*8I&g1ylgqG zL3zHqV=rrW{_Jm(WLZs#%tqyBPVD(#DQE|_aou|dsA4iv+W56JBQs(wq#f`^ZmNq( z^?R}Fg_dSpj|6~D_}k6q3FSFhD#(G5h5_08oK{*2vW2-};8)T*Eq-|~3fEBU^V%cj zNwfKCS&p)4X-=Dy#I&y+Vaj_o-LExy306tk#-{#hEh=|zzI^!}@o~XFdvLb)6eK$O zuO1h3ymC9(7S|ItHeTN3$*~me7AF+cf>$z#N-vjUp2DA-^R@~~fylOdkJ^efE0A*l z6ISD5C_WV48EbZ18exJx)p-9>-+90eJxfGOMZev-r7lT=yR5gyMV-pvN5o|Zv}|JT zGG!cYrIz!Whpl7!fP;^Zt9bP9D9nd|7TF+q9>`EqahxLx#8vr*ifq>u_DQ~94B2%c zYjmi<84lE+B|o)<9He5gwgxw^E9?@RYb@Wn0Zhp-_)sk>syUCntc1=uJ6{jUA$tGO z?4Ni@sazeMI0cdJzxN>I+#xB{Doas3u|Ke1LC~-IhYlZaI>F8Ragpyyc%OH=A6P4H zX1Uo*5O10A&>MODlJVYZ9IdGz{8BPe)~IczWix15tsz7YO>iN6)U*{R@-y64YV%j7 zW&=fzwK=$gvG{ikLZEZ8Ax-1!;GM7Uv~aiFPG5IRcit7#zNfs06ma4zbK8gULM7IJ~|*f&uND~zdF2!X1oo?}gz;FShL<#jmY z`ig;7^)5@Cxi=t}VCbRK=Dw-sE4aM@ZxmvyqwovtOOpwvsbBI1 zA>%p12M$zH*TbKm!y&6If(9PBBHFDk&z$%GDseO7y;bR1PU(%&4W`iFeMym}!)FHn zwLBG10+|B2xOpSxs}d@sOQ0|k2x@4Klvkv2@SiAL=_Ry3RgqRD@3JH}RfU{;gIX0T zq}PauBbMmxjWmN{plcS6}+q#6k@0yj7=G|lU)X@ zv#>hvjnxP2%p6IG>h|C8uSzi(I|-P>Wcx`j9+U5)Vti*CIe*}K{zdKdkO*H0p6X!B z>v5E0?}%|ub)~_e|Eke~D*0Frq;Co7vUK>=5{O0zmQw4gQG0((TmLH|^3?#Xu@raJ zJL$GvJuWzi4gJ$DzeWj|#7kZO=Cj5QFrot2g=pXsL%>p-;%RhCI`gxfv0hW}T>c10 z%n>UnTKfCB4UZFs^;l`8npm^aO;zj?WS*)jW@E6SXEAk<`6?7kV1tlgtn$YX73zX; zQ$>Tny0Ua{dr(3&$puVU;|<7xhjzpL0qZxMwdnC4=);x+?dbRRw~CB2LR{ZYwM9S- zTC2CJ8BS{X8tU$Md?C(viZml`8Js$Wz7)Je&3`=3^a@xg&|Z(n?~8WTtTO2cMv}D8 z9;n)5QmCd5x$FD3uk?|3+lQbBBKahe%+2@6^5Em@VUQ$S3m{s#&wdYBL!zz^vGNg7 zzofdHtyf2BY7;}$JHSkYP3qUU!Sv{eesHxo*aR*`$A{bug%UXO5~1+GDx|H0!a|5V z4y-I623ldUCrtO=9^kF85Bkv+P6jJ7D1qJPQZ|zNK=Gg{Nwt|f*jabQEl*(5l1dv3 zGc_1(U7+yI9O7g?dZYEU8q;=NnZPj|9XJliCa-*HUQ-Cs z4z^=gfs-1*Zei20nW|TF8cGQ}r@QnPfq13gveFKB^$=afS$BRc52iJKSh^P4zm zW8df0h|s0~h;QsJu1L!f9PDB4-T+6(<+iX)&3azzzXf*=JpSfnza`=6sZ{OU+V?e& z(;YMnZg7V;wnAt_vsqPpj?t3RgO!yoDd;7*=R}t#hb(w(yZ$S!t5pTg5vyM8xHlT5 zBB97VkO=CJS`$c4ByY+QsOuqbmmUP`PRnG>B-@>O7g@_jubufcPQ2D)eApTf6I5YJ zsfrgtpfV1!w2Iw;Q+Q{jcv4a^h=XjpgYjlVgT&X?g{hA`MLEHHzvm;PI?e0FXp-dN zw{I-#gIS$H8Uw+ z;)WeOLO6EL2t)r9@-}kWKxuK6UJz^o%(bZ)K6@H1osU!M0O>SNB1%khcg7zt+y06F z_NigBGIXfCfcf`LsJy@=-oKfvS_8?uk(~r&03;;5(vu-;X0Gw-x&N85rKHOyH=Ak?mrr;Z9<1|J(1PL`N!7R)OESVva zCo6on9hS9(mfD6lF7-Sm_1^jnXi{dU8LZ)y@5xYOZOz&~fcidwqJqy|-So?g%{adF zsp&Dl{a0Y50Lh=4vo8?3IW?z8`!fAq;V(HEKR(_*ZPfOQ z?CBufaov{A4EUlHo1tTZa{H_WIZep=&+Od0Vegi0?^SWpE1K`H#_{^KD;;802@7P7 zN+v}`E;u}+Ij-ZMkZ`FLOgSObsMKVIIq+?PpvK2}HiZB*6m6OEiA!kVs@$ps%7c^X z+sEAvW@xrZ)|j#lbKW^P6&pk;&QQ_(pGDWj{ls_H|9SQXgl=5c=iLxaC!Wud&n(Nai}6;ggc6 zC_L<6=hlNg8u(6)p_k|X;bg`Su zdq+K#&Eqi40v-KSq2H^r>aGh0*rM?H`{U?WZh+s10m?sz7^m zGQ-E>VW*xn*7hXbc5r|i$A^yGouf?zV9tz1;K4;X6f}~VB zU2FgbX0pfe*L_>dBTpeeg0Yr`i_`+MDBl9&P*$8vThupRNR9c4ask8h_}o>`d){*U z&lo?cplb(T4lBJLtZ~48?F#Qn43nr8H?!{q_PSPH=)wMnxjU%J*BWNo()TM+o!XVW z_ODw94{X1xayO!13Hwp2VIw^8e6{VZnL(JR`7P6tmle!O=0#cw%;c#6m8O>OG%eD- z!KBU_v>)gfqhwFCza$Mli_b>5rqqCRS6+IIoBO9EIHGJA^QDN+XCWCnF&(iG>*B`U z{$wv%W{#TYC}LbSiPynETi)N2Hl>Z`0}N?O8X0g0LtP%sZX9o?8N(NG!DqZeWDWJF zT6y}H=cqM?Rkb)7O*@b3aclyAW6Z*tlr$I`?as)j?=d&a-(UL-Ib`lAF$z#iY+;SS zx}OExIZ+puJ%mpKJ)zFDlCNMZF8)a-oe>v5;kkp1)*iLClc<~Yyzq)fIO0bcID+x+ z?m6Py$=6Kt4ZCk4XIyu{o#!6^Dx8OyLc`>O{*L}GXYAGOf7u3uUqUBbI;#2{VTUzU zhII6r0`$w%-aR*Y7%3_{(SHA~a!=z}`sv<}>VN+yW9lq{bm= zUtwu7Nd*+7p}z27r8>myLb8cdPH@SDtx7bdmE73##{gH$I+`bp!xRvrwhjhg4` z3>QpT50NpsM&h8X93!njrjvmhHtn4UjA3SeQkXXl3OIXQ)5qJ14a>F|w}LZ*jkLi4|AJWX?d zy_*c|MlJmvmV1k)SzI)_n-n#esv1H$<9X)St{iCXX29|IX_VfAi4I%+0%OFG)R-4( zJt`|gTH&GA;PeMQbGLBk<@Y_jz7}<=2-;38o-iIG*G-}@F98Dve(wLB^u~;yf8ukj zUvR1^qF8jnao}vvtD_@%mlVIf{tcpgO`g@Hkgx34|Jpz_zxjq<;{7ggoC+YB+*j_jAJJb8%TpuFzr`dU?0%9)`?Gm5AL<6M&O)d?yGbzeoT? zNz2d`yTQ@GQBAVyS`M*fLm%uQ_UMl%^hv#QM8-1H(e=i}fM;B+-n}8S^(ny7txs~- zg*59wDB>^KWwZfH+O&bpZ+%9Cx^^)YyXy?1b7CVgaU%voV_JMymg+{$6auh|4&hQk zKTc5f-;vX-1G(~dH{8&xZkbkmz;4PhU9gy%qgOp5}(Y_82AR7D--!q`1ZHc)2^~hU2Zt{~O z6CZAVe6@DML-+a4U)6BXuZg!hdhjatlMLkKQd`pa?#5AJcx zYF>m5-BN^cj7g^YPJr_v^oq%b4R%d_Zj_sb(U#EG;@8ck`&#_8Y=z^<-S`JKueDSQ zM};4;w?&P}10a7il%cL=1Ft9{k>n7njgJyXm0^G_hm z-`2Zrz6#Whv$YlAJFU#Rc(MLkiN70)HPNX%;3uHsCte%1ep5V`u&b=agN!3O;WsZ=rc15_VxmXQv0H;aP_s7+ycEe|no-YP$ zq@C-Wxw^j3gddK4^OvaSx&%AR)vs)i@Zybeivmz?4>-nfOJCjzGOsjYe%$yuH#N+K zU$&JT71U(RI{&$DHgCo@sO4v=?HT$^?5FzR0bk!ZzNzvDEMC{IYzRTV+dRdyMKzWV zl7gP_U^H5~+{3451?R6yaic5>ECFWT-dT!`%TNONT4WgnC61f{_XGdyb$0bZeh{acRUX+1Ln$&_$6l-Li#POTyd{M|eG2G>(y z5A=eA6a>a49ykqTHEE=9{om1E*{jB7S{*QwufxS5XE zvtniag+j=fuMCnPcoo)AjKN_i5`ep1zC|c~FXI-@4er5Dh|tA|IC~fCxO|sMg3{>t z_0|pKlo0eOrPk7WqsurOq=7%OCfo=v9T4)3ySZyhX%%9Cp45~dxy@;>7CLY1NO@qGf@1L2OqcUvW*=f zxy&h*oTS4Q&r?kk5u*x%8_J~ZVN!=UtF@<5fk?G=*`584?X$PfFG4QP7Xc#XmeAU9 zHVr--CXWdkjagDJZcc}taHwU;>%*zK!2IJ`_X=3f$?#aUf~RHN(TIKRQsO};Z;RW) z?tS_ZMa~&Hoy9rz-GqGBRk&idL@KIq%C^Otb09?~6tfe{Jo2#+PpV$3P)(|L_;>z? z!ij)RpZ5>B>7|F2YLsBtD9+wKzmW>MwaxldQ=NgxMT`hu2kwgm57Dll28Sc$&j1U_ z?md$6n_rc!6B8iMf;E#=u5t|T8LOj!)G~K9#oZ5y3@F^7%4>SsqF`UxA$mM7;dGcS z-1&eu1QTkkTx0y2L%-S@)4^`w#>e?K|ofu(3M7Gje%r%q32cWiC@dJw=*fJIKfcw$12<^sai9v6^mAa}b1TUKl}d48YSl z@InL(oDq`{LD(hoB8!o_`SM;Jnx|*{?qxu_*`{o66qV`Zzd?_Fk3We%G`0a;oIkoi zMqg=>pD~6YV$oM5WO>F1=>7ZUsd~$E3IMH(TbsVS`O>3az}IGK1F?VG2b2CQ0p)GD zQl+FkZDK1-6m6#=&qm~)$y~7MyRe$%x><+sGlvP5loXSc!I7$3?+o|WD{D7+B1a7? zHx1FFs(<3cP>J!1?eWlQw6j2IjAHIgf&JvNEwmvnnjmg0&}4;6Js!r$P*urL|A4@v zo}Z$dV7`aLlFmZz#L8da;mhj9$+f1UMq6Of-yp%qW$HGP5FnXKGAyxJHUUYNY*#|q zWiHG_#7;rl66BgBd=1=SM$6EM2-rQA?4uS)0?URl6|RW_g}6b^G@K}{vv4Q?eL$H>9r-)XSTSK&;oOXw zpFRD_R`&T$T8fNu-2YO8^=cvSmoKT;yKC|3&~0OUF&*v|{|}Y(qrg}(74&gaB4z}8 zh6{W?1TpJWee;!E;0E*v1}YNii|%2sr;TftjNflk_RNKhY4xPWEU=ZyOok>- z6<8#oww93mGrWIFU?(xhix4nVP#8v$yzrH$C8~HyQ^sh4f$?(x#X%Fg_r`1hSc(?$ z8_fL#;2qY!a;uDUQYADA`J>guc(Q%b5t;lxfMW}AcdakE7V5*3WqHFMhTGjXx33<_ zD69c--0%Z8I{UG`8ylx&euB!=6_6Jq(yL8N=MzT{2cLU>mKo3^8Za z--Z~jKTmlnMCi~No|>Rqy3E6&zjP&&j@5zqTF^*)C%t|i<~p{;9?BKKN5mdFDz=!X z)rNI)xUZ*5D4;YNXmV<=I|ZZtGxf62lGI|eLY8Zqf-!rQFjIhAc^Ik zZU6{V(1QaO7HiOdf0=VPav;fm!-S!Gpk3D^LQ z;2OIawodjrYjaaD<;?-N1Y7lGFr)AyLU2JmD)&$5f&F;&LLa))4cHC`R~4f7$GQGM zS9}Twj-W0n4to^#c|3ToI_K-^+T!|?c*Wkv6xrDAAFtURy9#x+&8M96c6 zo@m^yp!0DkEV8h@>F0$!2c8LJS$f~3_!q~@rS_fqU8R}OXDNH&ditPRE9E$5djGj6 zNB5jLyx?~2?#4eFRFLTcpwS$3xn*xoM455FPQ&)zJKykkLlk@^&G&QA!YoqmsnC%= z%$YcBtQ&9zBs(;EUDo6F)Nw+Bbp4kX2FhO8SOHaWR&|DWsCg!6Q(IxgN+GCBp)TfMkpz*e;`rerW6lP;CZyffd&5C=}+0ffwBO49bhCu*=E#`8s|4*ZcV` zN3saGO`^FY<$k2qgKh!TRba5U*7@?u2eP*e3OUtp$jXxRQZDXjcZ+pyfqVuRqW3NA zf4`hA9U=I}72JVC>Ch7Gzliy}B~TQQk%UfDi)Og)IsaHW|9Ja+w%til`-JeU0lXvQ zd>UBc@F!s=+FOZ3LD_d%=Y-p3nSw6(-cR{)BFXJclUrdSxAl{)dBAj8Hf;FUT#WG7 zuKlU}NJehxO-jfdgd3+Y4++$YFT&jQ!R|07K2nu8907_eH|CQ`JK=5EO^EvHPwZEYer-j$?6`P$N^*PZOPby|zU8a!@`J(ZknyYH zII8G>YQ1=f(R=uvt!jnmyjV8vXJ&#+1k8^N8T?<5UQyWZWHr%wuZ3Rn%s87$tPw+ZPXV1sc#Y{)W(qC2MwNy?D#5o#5o z_g!Z10=I?JV8>H7MR}VJarN)GqI#!u&{eTX3g0e4f~VDLeI+^~V)~!w^rc0+Zb;G% z30uc2Qh~kp#~HKd%T6ja4U%DRLWmL|^+Z`}_sqjb9*glbA?Gw$OP@VWy3~TWvPgE1UzUz2c@4{n3`Sw1%M~w+z z%llCd65s*--_A)HlLY=Q9Dhv!wfL2{z$KjMJZ|7XCdvI%ST$q^x5G{s=;UV!;_umz zJzHq96e8%Q7RYf*w$I>v{`+)hTl=sOYBZZc5JMH5WMbHRYmzibo-&CW5U(ldL|vVzRyFcl`O9#p-6ju^u@4}U{mQc{8j%C01japS_hModr_GBk3rP;3JV4UsB@p2 zPNm=ae&n{dyW{!l81NJM!&X1isqYM)93GTU-J!vx`LD-5cT&r+)rZFn>S*K33d0{h z)!}4Q$>7_E!8gRe0`z5{;$$E4bUQOm>cpS!?WrQt%wN{cIZs2>4#ws5&q3UQb4!r7 zkgKUXvJ{7UFJW-+yRVdOu)4IR`u`R~q)^8X+%VsZ9J6#$>-h)~uz_v^5Jl9}s}hOI zp=vKwu71eBB#J9R4 zT;M=xtk%IwUk(2<+_be{asJnwN~rY0k0+iOwg%ooGPup4%DPA(rw zqoa+4nAa!&QeAaLM9VHS`kv-dtM|Dk>f06)m7GL{GJCOFqHwGeAv2_)l%*_Z6&RtM zgxp%$=lW}7g#powTP;oPI9II|LaVS*MV<@|2fj+rXTSrlHn=0bZP9I)aGLpHK-Z`N z1Wi6}zdPeKPM0QFKizF(8gS^j4G^=Q%mIZ}a%IaJ3=!AUJlB<0YBWc8$~3dXfK)D~ zIFHY_$`mI@x@IxSv2D~6UxL$h!mJ2P6lc}({Z5|?&QlPy7GRy$;11v`rDfH53SQ4| z=v=99s71EANP0fB*jE9}1~zRV?8ztBg7oJjNK*cjr_-dhqidW{QF0sm^%? ze7fxma9WkzpCH@DL;Us7xc_+%UJ|b4bX9%|Ku#z*1p1jToh z?FuuVBe;HtiZKL7Ph>}r4wk9JoSl%J_d1jfFzj224 z)mW%zGV^0(dRpMRFl0fuJ`%4O5G3S6jb4|gmZ3}is^ra%;oci`cjyuXE_syGO`&<> zOaI&r5)I1x1jRm3_SHC713LOz$OZjxnu;d%F?I}l&H1tUw-VpdF3%rAl}`zzAuk0& z>M#O}Ow_QnB_LkK59S54-FS`ciUd7?3;>;BHG#-WU`kvGNs$U!nc}86EamE?yx+g_ zQ)yVxKj1~eANLuVe(^#8!|ZMNB*yUd(z%sn+n?rL++k&xu94QX;DSL$2+w%Hg) zEV--A6_Q*Px;9scLMlmxB$fJ7zNOP||9$>?|M5BApZDYae!ZSg+8$H3dYbEXPvR9c zr*+bnR>Uh#0@>a0oP<^2A&J%uaB$adf}%a=wUfO4eZHbmu^e1KpLLd3+>aDe6(Xah zRsqHk%ZtzIsO%NZ8~7}pP?25iTGPo(h=uJdtejN-B6=IH-yDqOGj@PgJ~<9r_-+Ol z8B+8uUwaL_K^SWUfEVydW#0I9mcXk)Pl1Ey>3s0Z3w=+-R9Cnt7>gD5kzLeM8u}GR zP0C_2av(Ch6CH4{FobM2Nnte za>N8HrCBbGOE@)oFBqsjPZ8?{JC!B-1aDWjA;FPW>dK~b`JXe4qE5n8E!S6FzWgTh z9Wdp#Ohk(UA`@r&Pj76}dskDCB1M`Ua%VZYFcTMOdyyQP#W56biq*yh6F>Y?A8yp* z|C`T@1mm3D(uFoR}^c+K=6{S?(|y&SX&RD4LpJqL4y|H96-z84m9 zAt*4XK<4{;y>mifi&)Jb>T;jwuYm^qsoF(!X>@O=LxD}63cC@aNHl^_=RC|)LSR+~ zlU!0NnEhC%4x7j*ags{SIT=))GPdC9q`1mt6=P7pdd_RE_MZu>!)C%~pp`px@5iQx zt*XiS;Zv%HX@HS>*VU|u@Hbi=xbZMpuB<{y*lPKYw^7Wu5>j~Pw(hb^P8u%qXVcfU z_4r`NcN$&n@cL9kF~M`Xmyv@0W5T|%zP>#}fT$&lM~KIJQAhhPV~`yNvBIJ)#vo(LFV8si zG^gX+9fY&8Wd$y0uu~Da8$H1MnpLpmw!P_-E8)X?m|(F##BXm~#qF1*NT9suD?WCZ z`4Sl)P18JwK=mK~f=H`1jc;p&*JY(=?AcA*hSEzz{xIWoDqt75W%>F+6 zihg6v+pVqyHKcW>N(o(xa<8eNY<#$XpBd;;jSm>27#`{frlka1=Na=^8i8GICZVh7 z7;+}+E#QDbJ^jjO$Tdino{x@RTi*Uj@srKBL3JWM4lLv)F`g(PS2X80Dvdo-kdPtQLBB=veouRJ#f0SJgBic<3xjO(46RyK z?^11HdY`qbeS+;x6S3d%A5lx1|LK{A;tHJzml_oM9OpD11#Mq)X-eFus{eJ+deN%w zyk#32UZPhn-q@M>`@_{^C&q{+Q+QFg{WZ0wl!zZag1S2Y1nQ&-dKS20DUJ;0qT>(%g&QqB>j4lrFXKYL&T; z%%fZ6EzM8Wq%NUo4u2RlA+ttQpRlqpt&m+frdSzU*q`y_bWbYl zuc6&*4FBBH8L$K;P^>q1X#ws0U^CO!v?%-et_t4_jxR0$39DQaZtq-O5k>DLZDgTb zvT`DwqG^!iVXavQK|k_R00QGJxukA)A+AvA9IQBz;p9jMu6J73mYTlTmbk)_-iME2V__8H5Z0>6Q`dlm9d zvIA&ay6u`jdz1h5#{MNMQ#Z0m@Tzc{yfb)$d>7QJqhrqTy4eMTAzmS~B*(dH zb93^NN{!sJPPu+TOM;{z;?j9i*AunaFkY_N;-{$ z5LcGhLh{D9rqTFO$A~#NOZoy>FXY?>x$>(DL#wc}f;Llvvs7p-ODoENjnKqp?oGPl zhCTK#i)NW(_7A(ft2K|CRO<;qiGYsxk~;|N<@UF%FVE)q) zkY>3u?Td9Lhv;ldtmH%- z_T!mk$cZP7Y_JL~OlsI>?`lrIJ=w;)=6pS6xR$c2xjEM*>5emJ zXo8VtPVXNVUn=AHjl;jp6o=B?dKMMN?Fj9&)FjKoHq(Ct z&&up0k$&n-*&@goL}%SU^DDDYp|Au9HJwq#kYRc8ihrD7lg>f~DdOn$D>V$nu>ptO zeif>o`sciBik$3GJ+8ap;7J;}B>XCAS?Q&d<6K7e9J6w?2f5j>ro8>s(}Zw&%Xp3Q zYRw8EvBnAXWJHj4(qHap$s_@~Ka?FNRcmV2HkW{3F`#deyp-wdCr%nnuisX$%j_>c zufCCGI0rpaY-ipjSV_v(L$vce{hu*8VO?1%k`Xn#Ys+gp{%b1PTV3KnK97%NZzezX zLdZL~Zr`5^{@x^)ic|Dn#s)A!v<(YZllu72_9$6Ia1LrRS1?S4O1oR5Fuc9vmn>iM zQdf;HrY-sPPXf)os5{Smj(H4C`MU6>HPw zU-VxNME_SAKDj+yO}Zv2TgA|>36;=xjdUi}*ROT+*6Pg;fQ*K2X4#=0U)Pf}G?e(# ztROtAr@{(q0&V?;fW|%qM{CaAK~{tXpSNo+SrvpO^@TCZsSZNit^OIrlQUz(uZMc0 z7|JCXdGoHp{sWvQwp@bUj>x2m1ABFfCP5~A(EhT_YvaYCl&qf}a;dBS_#N(U5nbQV z?7cMiU@>SvKHI2^2j+xm>OrZ-6HUN^)rjIfT3{?+q2FF1V(wzq>H`cS4?DMIU!&Z8 zKF7fCrVS5+#2JK@L19>SN)Ic%4b>g_52()tF>pNu)qc5LAx%R zq(prKJQ7lBG^EP2>%7ny5IX*Bb%%JfvJGwOUM9fZ@9OC81QM3CE6^synJ$>!#uzY1 zQ3fJ=*EQ~zEMt{G&uU25HfAr%m78i+>z@Q?cIq?9Ao&{S*d19<5U4}dj^iFfaz!$;2I=q1-K^l>-ZZlQ<_Y2;xNkX%2QVXZ-P> zjm(P9{Z8uSYBZVMaGieqOmOBtz$xqOi*tpUV3f0#xo`NH_sS)51&OO9zt4lw$dYnB z%a~Bb7ZTj#_3$86wE;{zloLfQ-x_9|^MJ)BWq|aPWaciA*4-Cx{@hHQeU#JxG%;TB z$)V^|DJq5p=VWuuLMP3nPZ6p6Dh+<`NA==kdZqbYkdGr;qsy9GtMZ?-WYMo$*SzLS zGcy*6dGY}BiV5kw@p~?h7|P_>7I8jMZ7t?wG#z+H&&dVE0)H4l%_TbqlXyMRK=0-F zu&`Y>)Oa)|dm@p&DLeZIn;p#QP%?%PpJm>$zUyaKCd_bvWT@~Qm^>3do{UHP>Q&BA zrBg~1H-?GU9PsvS>JUTKBRViW!UqAi|a1`x!2f> zM*8ks4Vx%D_9v_212g0Med70hi*3P2mA#{NQrjId@Luhl=I02Nm|R{$_|T1UszNdU zEroB`)jXszsTX4qB=c&2d)S>XkdF287{E_=zHPlql^ZmX1E?)VB z9veB=V;_fTQT%wea}jQw6{!5`vS+35&a!Sh60r-S*(-QZ$O*;+XUF4CU5z_u6FU?T z9JC|L`Qp<}KpWp$_clntQ@bDtx7!)wvOTptD+UnSEAle;0|ed@_pgvy0iW_0$Z-i`%_!Gp#(nOaHCom98GrLP>eJ`%fXcw_2u%uJ$&}< zOk`JV`sMmbcd`(H`+C9MMX#sPpPV^HxcsnCxS#ijdr>gQV~Ti< zvs;d=l99B}@dlp-N@Ky*znGrCm%(5cfL8j@;R{E)dK5pLGNVRB9E?}YDMKV1_`Uq| zq3v75X6l_|om+)F5h{-=@=Rh~j&LWBCVBt$6>6Us0x?U#=8?7b}uGI#(Oc=g#?`r(NC^CIQFH zUXoGb9VyVGM+9w4e z?;mRU_M-|YXshfws-wY%bt7QIMS*9scTPP2090o#%V@|y!jkrwVjC!URNK1v;@{ZK z&!p4*E308i*^2M(l@Py!Z~b~gVI5mNl~qMcKTf-vNc-b=ygNe-?f&lht;cKWit+^a ze?Oirtp6&?tjt|qr!Y@|cG|cQc)=O+zDq|@UWfY5*Y;3R50jt#uA(LIO{UL*;SFg` z{?mJ|*hH_Qj?zUdLt5BEr^kPFeT)zC{~1p2Mh){rMiAvgVsgO@PaV%Qnj^BtBfaym z$&l+l`bLMa!l-}oo*W!ptJ!c*E-gPQ>YC-ve`nKevH(+@b5p}L$U;&f%p~!If;_T0Q124>G*d=mZ zP2a)*-aMpGTMWqt!$bcK&c^{``&~VQmlm#T9ou%bo;WA5PhJ^9N|Froe?72{oMjvf zk%0qDb1pL;81L7`mYbO0V0D|HsL30t4B)gE<}K_VK_^tfQYM33QCFy$CAFc|jyDrp zGP_Qisa0t=l4b=?CoJ>AF8g)}cQIbUJ-_PD2q8zDw?8dv45&;xQhhZibI=C-(UN`Vf>y#=K|pkA3KCS9C_a_blXFk zGk)=QVG*pzx@JOQw87cazN^f7K)ZBG&)4i|urSZO-&N{tHrmN~Y%+u?t}r{w@9-z4 zE`rdgxFUoyFs{Kvb)|wrFbqjl9r)>c zI9tOonDGW+;~6Gk0M*0$>};G-kG8(?L{;o_FD2d=CV}m%Yel0MpV5E}%pOgGZv5he z&CvE6SMy$=GK1ma!o8-h3d!zCU;FQbzzW^4DKaEW`(BN9W{j*VBHw!a|{l+$)gA^l7 z>~}x+HO)bs4>TOUaUM)q%g?{zx>i}XXzUl`()Q4let0*Nk!>)RnmSUM=0iXk7}Sa0 zd6ae)KSb3Pp7XLYTTXtgaG7MW`z$YgstD%BK)G2C4w`z>1CUQ60@+vZgJ!jGOZ*I-(2*`wyUeP*tt-jmZrwsQLDmj_?RHgRTSzI!T%CJ(r4grB-&1;SJn zx@2$N>*@^Y@!o1FSz1;xz^Rn^;)Fr-K(5uR-}w-)7q{<#S#{R z7r$F^8xyKVT7wcM7>ERYnot;huXFcs{NgIIm=Qo5a!{T5Z7ET z%-0{|NTMQm?-kvk`engNOOCT;^P1PkYiz4MoLWx81nFs4`G9TPQYP}&^d`-4_J_=~ z2};LV1K5Zkeuu|SVjan7b0oEYe;>;geYZ%(t_`5kDC{-={h#|Dq+yA04f-jbnrW8P zCb*FrB>@9;PHO<^a@zD`U|1h%v|5J^Q_a2cM&}c5Oty=0HiPI63W_IH>%N%&$024* z!Lij$y|Ao9_20LIYZ&V(1Z3O5zFslHGqCRX%TzChSli3l>X`V!@R_H$i`N4PQzx2fQhkQ}{#`;|OY+`wa^DM||?2RkZ8 zRW|q82T)zY=tR`Q_(zk6>>TxJJp}sA3*rG2QiC-RKHfE;q>pjAc{0oVf|wT;S$jqO zJtV_Ou|E93$C4YyDSOAvu;CsQvo4|{)v-9}kZ~Wu+EWkvxocwkie3I6jm!21YJ#>Z z4=v-gefVC+yFW}j7aYcjK08#3yjXJ$@Y#w5Q39htMHFITcAET{!HJQ~)`qE@WMN?t z)Z&|NPU1?)=J_?(PD+DDy6Y87;E@Se3|OAi^Bq<=p5=AeLZUf?IGi#({*bchdSS;P zI^G@%j`+%o!Xs6rnU|t>u6M-h%wrpAM{0WO?rJFq_@;?^yI^{bN2dpEq(#CRl<@9R zaI5Dyp11cPD<|CedWrRI9#XUS;xp$3DTl_x|J#J@WA_u2B?F#YrI*Ji#HqGN+;vRZ z=Nw!YAdR_`DB9Poz1B4vq*gh@_+yPzCk$`)^^BN9yY3mKf}A|cTn`&cmsRf6xyc3gyMc-Mr~}>^TGm3quhyy88!yUUoSH1sham>Zf=eYKm%ybRxO&LYr(QVR>ObplgfH09>d;?ke4X(8929@G7 zlP#%P#$QZ>O}iE#E#n-Ui?O5kNJq83CI-=9g5=9i>E7%K>zd~a|M?uU%CJA1z}jSf zyakSkyUzMSVz8d5502K=rx5;QX(i5Xsc3ydqZQ!6;;LwwfonH~PI?90;aLl@lo-}r zE5}fn(_ig=aG^>xGs>UFJ*UB3F@8qcy2`vfqu_n^G&23-bF)MDuunv%9D=tLD0j_5 zbjdI`;{aTmoL&ce_@f+bD{Zjkl}K< z&M9XDjS#9|2%f}at>;(JqysMxdMH5*>sW|6XN6jT)ylA!63=V}w0UCF%_^Lu|Hl)j z#>M!!TzI?BiVxDMl{3V31iB^?Kyl&TpX+=OuKJ|s7V3FgV1|O6iIT$fvn`90`l#YF zo{DGIpZy!66hj$2#20iUgAd_ff2FwEk`F!z4wlUJrjByFAWEp(hgqq(@A(xfZtmYF zc%jBhlM*11v;{af@}Hk~pK`FpcrU5gIpAth{^?AgQ@ww#Z_>S6DO<-`SiV07F=vz! z^;?;4m+L>~LnT*9gRg%Gzg$-dG(LCa$3u0?fp28*z8pfw@4_z-cf9faW;YL#p}cjMi&57T zi~eE+b(0NCTnF4A6$=PC%pM15wd?Vwk;-sUUlS_5h=3plDFRhrQL>Ma_Q*UznLt zwr{K5b45HyXK3k3bB)t>c;RV?B8I2acvjY;l-8yQa4z^aHK3|Z^RvpFr zkv>XJy-&9t@;dxm=(_&ye*vKp(dR;MyEIoVYNND|ULS~?D28~s<6_+B4W!3*yGmk- z$pF3e^AS5WxU%*QY8=F|Bm5>VTqA7u7oFE#hKz1OA-EJ;a8Xd8yXP^CKw5nNwZ~>1Pd$!Slk_KAkoFh`rubcZ*1*_ui7riBsqv7 zZN&J&R*>?>jwMc;)`aUot`7(UgPOCpu+x0x)3$W@^pY}$x39xuPs_z_uQd*LHme0I zPP+?z9-{EF@6L4e({tk6A)}!fpaR&!r*HeIUdk)_rC6%k-be=einmdoey#gHrT2-A4opF^Pju(pR)L z^0+NE7^NQh;A!||Q|cby@5Sfn;N|Lah2`Qt1AcGDlK)&GN?pxuYj`HUpVP7`*s^1K zg6Lrh%W7_g-8hifS+V#oW~9yT3i>4N`jNQ3r(}&8h08ktZ4^}wNY{_*+`bXiy%2qU zDwp;j(boC}V2tz6b(c~S^?ioRWd(OMS@S3PTI(OezQ2mVwY~5EGgIQ_frxNrq?~q- zV8CJYGKKfixcCG(c13)jh*MQUgv#KgbO6Flrvj zP@DJ!kn24^KD4^>&>5Oli!h?;?iEaj8NBUa3Rr&-=E1J}7aIX;Gd{PahGSH#+FXsR ziaG|ShQXU4opC8VPqu!cm}b1ebHg2)-i16zV&5_hJ|VL)S8TMOY@cTDSUB%N%r%62 z9C4lJM0mNcn9uEL+?s#Ti%rTD8X)WokJH_`Mftb5Sl5k6*8v(U$gjZ_?%UOx6 zg0}3%s!oT2BUjr#hz_pY9l5$ON`C%XC5N#!^g*3Y=DwlvooOJsmmJwirp`;HuvCtN zEGl3Fm#S2*qYCw_F6yr|{v~NBxz^NvBX|+0NDMopaLc|S^_92FeHHR8o{*N^oOuJP z{8+XjuCeP$U8mE7Mt{X$`3N^rcJu7#y{XxIc6wO0l586!@f6O`Ea{PM)Yh0mR{Y-M z_)XwLm^paQ;F%=BubohHJKAW&+4p~jFgGb?uI6g}N<3IUYGdhS%VmSAKDa6|@VPYP z7*F*cC9qsUNvpinhmQe+oP0I4J2UaKppw~xRkH~?A{R4^tlQ@4F$MC+xz!;a9@kCW zXOUw*cV4+(!}R()Q^%}E$k0L2+c1JLO7HA@(9GwqwRaU;Y0$?9x;|k)7qmH@rQ4x# zihF5lF#hZpmZy7zPZ|}>R=J^-1{aYd6dxBpmTE-F%s{LJqT}C({AbSE|DM`D zTgZVA?GC~;n|Jr!HYhwjUwX>o@yc7&4~WSx@({~2DZDp(Al&K@snK}r`%cj4Xi)Q%~ahA(_jtZoE`{njRL=)A$%xL?_=OK(!i8uW@dAmG4}L?__+MWnsC zmUx_6IY!m#>MdnHQ(SQ-QWh1CPrxs=21~3g8@!D}K!N2W1=`&7;VT~Q`KQwaK$W2Pl1Yib2Z4 zRetu2deC9X_+S0nd+ai;9fFBx&;eO5u0D;ctM%jIJ{R~!6U85Fs7QWLM%sHb_`K~j zsJsw_iYHpoJ*>Z(1sxvH|6f|LXYxG-KLb@Q!);+$ANkJHUoyCx@(Q9a#)>8`=Z`w` zGjEM}mGNjVV>&|_ zx6Xfn4&Iq;Kf{mA-p#?o`h!sON)egHi=Qx4y}n#H&yT7jpet}eR$ONtKFin-DC4Os zTwV^Hp;djOAT>-hVdW+AE^OfvbES;ZG|KA zfDT!_+gh91I9o)KrQ{W_kQ?3bqQQK!(R_xh`KiOo^<7dI`wcJ$%IHH2AmKVWrMsANlTN7NqRgLNr$> z(a-e&?T+1loKuV# z7|6NUEZOQxRo*8w=c0~q`hP0|jqT*nU8gAZMryU3{Q$0xY01iM+97X6`{Yosh)Q># zLK{?}J1ufM=V_7eO`Kj7_3cz8cC+-uRII# zN#~WIaq3uqPUw%}r`IV$nt;AN9$cG8EYQhG1FPiZ2=Qr$Omj+Vk4KhgU2x@;1YM0S zcLsTvTp_j;zN&LmG)f4%Lp0pYNl8zb&Gq+Cx)D5m?lL1+!&`HyBq-Xhsxwxx-=xIh zHsd-JmHHsUh}a?Ap0nM1q%De^csg_bCpPYRo9AhL8PDXSdnMu&R5S!z z86ay1I=M#r3l~)%neV!mCxD^xV>%A-ft>g=fxRDme zrENEZbBaq0lhIu3O{KGQ;GFm2=bUX{bY9)<77)mVYT^>ntS~Bgt{z5js{CxXM2=G7 z#a?((aNsfDWvk;qQL#522b@VUch@D4x!J42xp^m+TK&Jb56z%e=f2OHExFJM)Q|k8 zxw0E@CT*gZOZgcb^SpmLqo{<{g&qT!It|n?MRs?W* zgA|ghr{497;fZY{}KJUQq345^R^O|} z&vrsnn)(LL>>IUU80}c<`LrsmJ$q=Ira0%3fKtsD{Bh7jJPH4G@kK(y-o7x8c0UWn zvqwMHc8<(E+iHLEW!>?a;Iem*dOm!4;@-W)EV5%PnUtM?*VbVHRE!GR8Y|gMjU0`^)9qh6 z;->X%ra3_Sl2vHk7!~Z@#Y1+=42Q1s*p60+yPX$uki6@_J_Ib4n4(&?= zo;NnIGrLDCr`O0jZ1PetlVuHg515m@X25Wg*WTs=&Z#8PgyU>uk1VIL}(A zpRdp0M1J%a9N%gKH*sYkLYe+~iPVCCR(f0tle$%yp%^Afz|ttru?2-n#{=I(F4LrH z*O*HCeApT!QKouGp)9H_O^E9VaP}hbLInCHJT~}yd}uDUtJ?3>B;29+257i@0dm^a z(@Nz(5H*)03#37G0;mN?Pq`@c2ZLxU+^1BSb7Gt;!ksp*J^8%p+)<#;#{<_JJ%`+O z{emkR?@&_@V(0GD?^M*@3gzvG#_T;<9c`YSjr&C&H0f=cOWU}t;^V2x)h8QTZj+O5 z@$t%hz{-zr>NXFsi*&oOR)&{xXTi*x%9Y56DL1ShF4pe~LN#VBA&K?#TgYq_G7!@7;D3tw`m>VY_Tzx(0 zZd(h3{%VjDB-tG9o*iDazw{Nb-0ys0>UwFLu}EzUa~xP2F8twD@WhR)zcZGR8lIA<;L(AAU9fza);PTrmg!@ zyzzq-1Pj4?>cX}f{U?s50S{)*w-?7h*V$`2wF&;4_024vZDmeYJRD>m5tR0-TXP!- zdLW=S!}cG-$v4iVkwAB?`*x|>6gz=oYlC&$Tzr%17sBg+l(3sg+@Gm(;fX7O5g(l% zrc51EN=sS*zDs?Ua;;rQRsDY7d~*xB@=yzp|xzE-Q?+PWE=twQhb(@m2J|pD6U|MgMD;H{t4|VlsPP-<#jBoqI~b zktr2v`?{wn?$Lf3&48zgTD6;vUaXrscP? z`6BNqjCxY`rcE1m`{ZtPvdPZGr7wx@Y{|zj;eL;Zb>*#~?Poxm)7j`;imB6b^fZ;~ z#K#7UU;K^K4r=fp;PAIj{t5J4>sDs=Zmpj=OCL5inHl(l8Ghh(fA=74&ztgxOBfYveK zu+e`%QiQ0(k$mbVmK&{`X&T)MeDAC$cG(^rheEC0-pQ3`QcX&Ms9L~0t9Ld&7ZS>f z3j(0$+{@nUp58z;)e^&V5N z*^Sbbz=r1MvfBKT^-%r5BxmW+^4WOYu*M#Oj?F`C3_+nqitdj_$qHND~EVUK#E0-Ai8G_6=!HTh;xvK(ZVUB;}F2R_@w0 zP!;+aXaUQLCJ*?SNrTkS81RDu^gtjEkGLIIIQU73=~K0K)s-+;XqLDgd}m ziSMcpO5u|{XKWycRhHLujqhRmSZ53lYs<)IaMSU)w4VSKuSppe zP;F48e1MHBVe3o*aZX~bS9B#qy2gQ2jrhb6AE0S`;t3X<^qX^{Cm97&4e4EQsTJy! zFi^d0jfZlYWOT2Oq~$IfmrRAHQq_E=S|nHN@nwvk6yqa?fyBFt^0X4?(Y|8r(p)ac z3gW;(pPYAcVyK)1V#$nB?Z*j2Y$%w3WdcJ2GqI6uEmj-o?gvc!yz+7bRz<9qN>yJH z$%a+Kd0>u+vAzuTbTQfvsO7}gIs(L&00Ed)0!gy-ns^`_h}=vjs5f^zvN^r(Hs0LB7Hd0Ip!4d$# zC;_$T7%d;_$y~OYdkl^#)+!tzu2qAH1gq3egUuGLU?6?*0p-*&wIIAnKFf0-_*$8@ znvBjGD1i7#oB@m2T(P1kaJLPhoO_ zYRw`XfCY)4N5=Q>tYIlPNYqyFgpZiv z@II7x+$Rau!#3}k4>m8|uSvxJ8wdW0FUF)_=%ng!->C~s7MEAoO z@JXkB_Dl_KM*UDLmL7UuS3pvDJkr)ogJja*>S9+-In7 z3079Zd;lT<3IznH=^LEx9Ik`_3>JgESXeKLs-{${6{rLNhA+@Hx$`ohwpOwjyR`+? zLeNOe_~8HqoS6p|qY$GKWO0&C@U&V#9TEyuhNY<|&*S0&$~Q3De7c4+4j`0jwTM7W zyvh&|*F(Ve09Af|RTZ+e79`-?RNV1-%s53|Mlt@4SHfIZ!-&<0*ELE;)T*CingMFX zlbC3rcCjTY8sI0K!ro?hk%7%S=dt~t^S+Z2rpw!cwrdocxfBpeUa_}EKH00MZz(tz zob%-26zBM6#`TB6PXaaL9K1`Tcl-$c1=u&)w%?(4{i6B4q?WIImk3&RXz8I+CPAYf zsCN#C6B6utQ!GSO8FA}GxhyjBrUg&JiKy@w@{X?trkZ+B9z4&3brKl?J?_Z|cbccX z!bI9&O`+6q+{+(f*cLSvX`87voor6UhND)resLa5^EGsiVk9w z)|GBZB5}W`F-)--NI?fvwSuW8-g7t!T|*dP62izeV5nD#z^&4=pC-4Sn+L1>)U042 z5;wxnQnAYt(RrcLQwDZj0wVQ9?UsTtK&02amZca}EQEnVOr8@|L9p6&XAa^#P*V#cHqc)jQ@j!wIMrx_5#|1f=LhGt`wFOd!DU zdWL4F6f-Tx5gAyn?1xWn`6QI5->8k1dXv;i6#2bat)L9~Z5y0zwAjGtL$c$3@WR?C zeZcOQ^KnyekVqc&6Hr3P6HY&-U;3oi#ffQgDG$%ba__H$q@L$n(GJH>TFLDdu(Sko zaLznj0O-o6AUMCukM@Oi&BGJBDt+Xvn)h$FbeD*J?Yk*gHmPP+pkLLZSatDAY8He3 zefvRnfLU(#CA|>~pD6~w@Gw2qLU)xN%TRA7s1bX#g!8IXQp~0)T?+vOFsZ71fTpe( z(JO`)NTX_u0+MV4h*AtxtUe?pDHF64C0E4~1dM88zyhh@wH1KiVoP8NRj!?CvV|?z zN&xgy)f+;QL4>$&h6YP2+r+jOig5vArKvfj4NFyl00pqLrsz6Y5as4^`*3 zSU#N%n`Wr0h>(^9Z59AfFpnIf;8f;t0FnH(SY4ad8#}Lbl8R(HAnhb_SgLB`9F&X) zDG`Q|VwFjjmJ;J`>^!Czuc0DV*Aydz=D`8;>LMvPL#%E?M*;943`I*sQSTM2A0Wua z1d9kjUAAfoK|Y9p1c+3B!u+&-7t=@-iw?RpMhwTkqjyuJrd3YYzb8IjFY?kb? zt1Knph=FCnlV|36LZ^oGOXj9YzV@lzaBG*Xm{ZY36hhXmX^9)$J3yz43Tf7P(M`Y! z=r2zHQ(hT@$Ti2l`l#Ca=3h(wDA0QMvpd0AclaR0&3~8RB;5rIvsFEf&{R166czp6Ofb1G^$h3+ zOB2LWE}mESkzh6p6|>n4ja0@P9Xz0zu4RKaVNWBn@BnLob~+0L?orj0KmihDuLOET z3>cbJngrkifS{*9z|(mJO)0cTTdQ3P|4i3-DwR{3NBFW=OaNM)GITao-AAf)1PI7r z$ooto+ZpPKb65!#+fR`_2elhg9FE~vC(gbyE!!m1Y-cN{($#du_keh%lR))AhPo~T zYe!cr!Knq!Yo+egA!P2;%V^ux9h7nU{3j*yfo(ygTXJ;|i%4bY7I7kfBk_oq6OKNg{tb+J zx%ta?JK&LNOHIVG`Kj-Ro(O9q2Bk52OHV0aeC}?VFq%t53A0X263ID6K^NUKLQA5b zQ*s}WO|@eXlSogSBp^U!US59GkV9<~$JJg-7!7VST|4rE7J54R8@pd2;L;&Z{H*1n zBWm(S5+Cz8uAC%4Nrl)7^3zkzE<(E(jCPn)IOyge>B&|lfaBpSt!j^L%tG*VK$FEC z_87))r#{+lUZnD(UF(_?lLttwy_8_l+1t?Ca^D86ubRZP?prBP0-z{l%p0g<5D(AP zNv6g^7_PU0&D_g%c;`8p&AphK*>C$A2UNDc zIqRH@cPFNBZDtxI`GN~ckB3Q?JCT9{4%kJ(b{01=%o`4$zUa`_kkT*bp`GG$u8RDl zw)np5@GH5X8_&Q-yZa}>3I{px81x$-J%7}I$iC3HP&E0kkin=jHUr$bI^;c3-m5e83!E84{0H0&t6ujVjl#Q?CW-OpDa) z@&(qT+io+%*v3bV=M?}iRxMGE_tpb?dmVh@M%3Dy_2X@9d>}04ER384-fJxsv|hKi zR08Nm9)C%lW83PUB&N!F*v{?#5{a}+3AlI~pkVy!(eHVq*Z%{STyCcZ)7t6mY4f4n zOjR$;1m{@q{9B$IGo_y>^KxA#-cNNNF&~cxj!hSA&Mpk0|7Y#rpMPNrcQfBAxkmqN zfDgLdzZ7q|=$Y>I zkMnq@s&n+u%oWOp5!W-GNHEXTjr6h@9z~5-`}wsh+XKqxUCs2*({oA6Q-fYx=!?Y1 zj|<8FC;M81ZG#Q>>p*mKE!Re9^)Y-Jl}B?V-#zUE=bW%5RBPSL(TFuh_e91h&Q zdSQ|Df<&Iw2V{%`I(Mx0L2X)dlPDsn{u&gyArCOZKmlaFi}oa0Iei)rsGp_~I_J4| z^e8p;aRpmcQMQw|Y^E{p@5L6vmk@gBP5mf00LDKr9epkl0bEHJeD($M2AtPcrt9auG1%A7#(`e7Eyefn9;Ra_4CQ*$Z@x;6{gX7zi7^>1IADnhtlpyhebzm3hZ);EeAaBNjRlBNd7D9pVK%YUHDuZmQ7%#e>*b@aY&!A_9CPitTr2&uuMKWHx5+kpHrOy&U zJ=W(U?tI7sPfxVS(`&QaFgXZ8Yh0?QjJuSYDp!jThe`3clYh< z^ZNsS*B@}5Uf1iouIKf991vcb>FuX<V(oy;8R)w3W_a4{u5tFMxOu2WpHq2KPdW+g|LC2*BlmFL4Fj+&>tI3x+cPGKt+L-`5bEqFRYi5f z5>A__^x$pWn8sy~Nked<@sRU04YNN20C3U~L-Ub!Tnvk&+P6|>wLKH{`mB_Imvkb- zKv)YGPp#*Rn<$IQ#&D{s&V5N?cW*Nafw&0lOMC3>lT_p_Yyd53``b8%p2==#QOpuv z*%Pu#U3R@UATK6q?J_s~NlPT0KUA&#j~DgsXBFBH4|7kBx#7C#W@U~pNOQZ`*LJb$ zsv1{;aFMBr{gd>gI`^c0vbPE%#OoyuurCkVOk^=31&areEx$AB zt?obBHk<({z~%qk!%-yj_+Z+IAEW9-!g`mF-m!cybKb@70p?Yx#XJ6{$U#9>{6l!% z5lvIwFSZGrrC9uBEux5ZCaN5YC+>9x}f-Ol^wP_4Au(ViYly{Ef!(_#2 zFi+T~ZLQ84XxUOCgk^Fa-nzKAfZHtTxx>tZY?s88F;lMUKP&fl;|F6Mg&xjLOk_q% z>y}$HBYGyyyj}Swx?4ar2eC%yL0+QXL$K6@1e{UdFNI4$G(%c^xDoz!%)?olIYC6M zE39LR(rbhi z!R*z|Zl85csueyKKq54ZzPkQwgNCTdPUW#8){$evI7cBMUfy&GDMdi-g8IkVAr6npDXIXX9%N6iZYs~lRRzJrW7oA|!}!(Xl|_Mn`<+~yF**{qe|Q@I*QmLv(jef`e!{%5 zVaxsp#PVD9(BD=Q?ty_}CHT$?TEamWZ6VyHS*r};<`gQYS7-nQ=vlEoX zkq?~+`a2mfLsGp}L@2uk?0z;xNh`h9jL2JopJ1X7!GS}-_Ukn351w!y8?w`tpauZxNB~#GT-=T9f)Lt(W za~e+jg0Wbbb(aafbD>}kU!dt2*h@~h6tOGPB>R1o%a_yH15nd%maacs@@}o2e?tR9 zt6YDo2#2W*SfW8QEH>b(FKXZa21c!LgE1@$I5!v8O2@xH^C(#aSq|?!NJULDAUrnqEmllsr*6EMYo(1g40v zEC67O?2btfAUP^CY?brOrYE8-n3`MP7VJ$2t4eW$RaTu27}h0h z4hwuw2)N{Mb-HyslqmTm+VJZ-_5>SIwF1ATz?4dn-1kT%MJ*46fB^tgsDTv0Dn@8u)rmUFa<7qzenbJ#Eo90owV0nGE% z%4l`O$7jx#5*Hmp<)xHein`;I7jPY9ml&C0rBhxt#Ic803C2hjXGSHrAU*WE=+D5$+(rp!$ z&8yI>D^QD`iebv-8&c;Nu1HT6jOOa@v6ag!9p~js0SdG1iyIY+v!knBdV6>MX|e8l zatL`V#rN-{3F-6ZDy1TW$<5CSjqWTQk;*e#?`>@&SZpebomG-&g?)2tSeg{OByv`) zARdtrDKs=vgxtp7lbVyU3f<>ojARP$FxePY8oZJP+Q$O#6T!t4EXC2uArQTUue|*h zVF8Y+l;Bc?VkwjSL2xB_3d^Ly7iY1DDUfsyB0z{ZE<~V(i2EEw2LN4Q3LdRsx8VZ@ zH+U;}3`dIPN=&@wYs)U+3Rkc%g{T8>?`()B?zV_LB|`U*RFLAs&+y1+9Hgu8@P-0* z$I6CAHR1{lafJgiXKfr47*!$Wj1ign>GIBVwKyx7^dx)B;I_}oDGdVMt-de&M0uJaGwu3J7`rhv+HjL&Fe44Wwo z{|e0cR$OJ9h-oIn!nn6FrhkS)m8Uibae)7x8Gf2IEHX8ldK~bkk-XM7a0_Glqxj^D z$1d~V%+QXYzakls#Dqcm{`7eyB9yfHTHbuhVDzpU^dDdK+>AjLSVn?GBit)u}Oh*je}ez!kmTP zr+|E`G>iiD^R4&nnC9V|l0Cb35wu&6M`|V=j$y9m_;`MD_R!k1hXRh0^Jc|VD`QLrlJ5$p!JHxU+ora>SvB&V;Vq3F$1Wc7qctwQ|1^=~R;cu+0RG6%q>EMgy#Fi`+@ zX@yG9DYYx|VO@6WS?EU`lTt1;wiQbTFyD8X9Q-z=AWa7O!+Gj~ zsv@id4PMQ%aZ727fHAZx+{V?WnN`_X5YNqd#(w_%fca#P8*d3qC3fnMqSuc+6Gk)13L&i zDnz+5LR+zzyLiNF`#5bF_K^~?Ul)@q9ZlhwjaQRZg=9(+e2E6%rUO|55GQF67!zQ- zW9QBdnN7tVJ@DWx9(2qJ&1IwQs$-6;BNR;3OC|O?3oT<~9i>w|37QMoR149m`s=Ii z*~lv*m8UDn$RHJN1NI6YRt8=k!(%$6Q!*CF2M@}ws_db|?{fZJ(3dMcWYkA*`@cKc zKf<=h?&>z^?|fm%rr>ybM|ayhz5nuVp~`UE*L414>P!{&`~~;ldbf5wip{FM^EvTd zY%=xoW0h{E+c{zYcqKE81=fCR=qGu8>%|tI9<#1bvwtj;zahT|m`rRnTDrP+`MA34 zrOkmO&fpK;_{=26e`yJqhp4}g8}@89d>SeliNyRhVkMK|dc;_#K(vRuV`sC5v$9Pr zHQrW565{(xFZBJ{Vf-5hdP6b1K+$Lv0#_;6mlQ-GYh&>JSEb0lO_z0G>n$@YwzD#n zn?c}%gGsSDn9op{6CRTzf)j}~MprTSG%;$ND}A5-`ox4@BLf>ccU&eEm@@ODpPDp&52upwNY8WVL&EEalnaO0kLziO%oU{06&0Yn4BxivBE4_b-0zGiX6#)2(1P{& zjhNYLGf3N~LZ5>Ul_QIAzNTH3skiL^sP{wynR%zx+r+FX*>^hUD4YDgyD6w~xb$Gk z6xpwrH0G{*fY6lfXmLTjxkIn1+0x9TnrGH2R*UcERt=ZdS%fUh&l&h!w<(Fft0Ydg zUEYvFy<6TByM+T zd-FmcOwnhnEQgRTL3edtY3N3-b~@c{^j?uE&<2h6d-q!FR%GW4NCd;)-g4*|sT=H+ zoBrNhCmDpM>t)|LlG3>UPP&;sh4CR(H!kc48I=Yugdnq0t2|M;P!Cp((aq-&?q|kp zE9$}N^gx46DIah^*7S#Wg*rzU2cc=xN8rS8M#)LNEanoXA*IiO+ao&1K0)+ofb^H|H(Z3{|>7^vv~04Rk}~tn({Eu2}AA%s{9ORdR!KMl`cs z986BrHUerK?~cFE*|L03kFzIf+?F#{X;mb#cWZTrndQrLt4r<5KL1|gN#&Yja3vFI z<43O}U+55(BCRip8hFsIUfo3Kdx_+C)!3d(!CODfINY;cOgT%|^r}fW(dnBtvF=Jt zE37`l`frJ>;~_HU*X|b=7uCktmQ7fUzYEKv-g9|tdo|bNUYC7h)Iau{`(GYAY@cs@ zb-5wZcLjQb%u|1`Mfu;`!>`CUbAzj!U0~lj;`()MUOitWpl|JJ!i#UIJn5!s#@qoZ zc`Qy<;u(Ela^C!jOnv80lS_5sg^jI}=QJxa)!PkH#Sxo5bj+)0RzPFVK{ zFP+jnR2>^!0zDm;iX1Mcx%9(y0&{;rZzr$Ct29&?F1~9J5-)g9{*o@jtNlfsH^r?f zo?~XG_JL8BZw)P-E$=7ke!Fy-Y<%46-{_=(OXg=B1D>cw5AK6r_W5MmCAdGe*{+A| z;8Gvlr$Z>&ksuy#-!6SWoSFu8Frk==n%AEc5+LQK@{bNLe)Z5;MDUU7^zS8 z=-g|9Cv;Vv8n8{aY+>BpG7vMGm2WCh{>pH9bgMM5-lVqPFX?EvuHa5J+aR()mC*m4 zkG%QSAYw*}Ji3T;PGVMM<;#c_?7=Zg8<0ISqW;1X^p9voH*1bd{KreC@yBayQogCy z4PbOrn>jTx{sZhh6Vshq1qhp=9-37fr z5wDIV?HuZw@g=aNPot-%Y(5n4frh?DI}3q7&ga3+dcPZ9HKEx7D6XGE?s@G_B6vjG z-|-dd6u5{RoO{~F$>P(-Lnw@RI2{68Ese^Ezp749mhor@G5^lTK)M2uC(^+bUh;EuiNTufzJyDlx@_#E)#QO)L)!(B?tCEN^iA zq)9k!URx{ysO7*q{Q8s({E`A99e-Ua0&zNKg`UK0V}wWAs$Q%F=0NT3*4%tZhn25p zH~uK9r}~;(J&XfADl89|C+T=>kg6e|^6P7li5CKVG)al5poSK04>vpgUQmTiMGvi; z{i*V14mPy6M<=}pN*R9?9ZpN$h&?MawmHmYQ|mR%{b0_q!?^Dr&E6J58d$ds8&`tW zJ9gIg%TfoSj%RM)8u}sFFF>P~1#6!^^FDk*udW%-vGyx@{I|ft=887|SduZ?Z7Rv2 zr~IvDO}+sE+-wot-g_MX_?|;*qMZ$RA)Q+`MVM~U94uBl|K2#6DOl;5M*Czb` zZr@B?4>h-^R9G?UylN!mYtH@#ud|?Viu%%?qc`>;Lr+cVKeIJ;mL-1r!#%MqYr!P# z?#jq$lLURE*;CUD03z&ITyGbU#$AfHk)h%QVsT#U4<+Au{Ay*|zsAHrgx-ct1LY~v zG}Rq!I!x0T9YF;F-QNXneL3D?!XeF21(<4LTn0-NseN4W*|d>V4H2d3c5-~`qXy5~ z`~qWmivSeWTuHkLR?9Xuzt3qd-83UYht7nmQ&K8&3QTnWpusE-i7UcLtpOU^sm9dN zvIq%SFUo~)vY3LTGg`IAfV-OtJWd$Y=V$jH#I*W z%JDD7B7ZLU4`mUK8)`_QwLEHTAKB#DZ5nAia>vf-!^*e6^N6^}25 z1_-FeI}Mr4h>fj-I%0FYVh?jAspTGVSms$0lyP7o$@ZADJGMdU9%`+X@HT8dbLV$` zxa@-cwXF&v%>3pXtc4|4eaniMf~WRml?(=pihVqqq{Rl`UTgMfgN=D#P%$pgh`;rX zY{FDQqVf~-WbBQ(loo2DY@aA4V$^x3D`h49Fz^5b@t}cJk z+J(?HyRO#jmpPm_#5IBA_z-eG z$u#gKN#&*YYm{qWb5^6AZ?@qe;!T36Y-tzRZLO-<1Qod-O5<;;RYSpn6|LgYh{Yf8`+02+<;m)?ZsSAnN$q z8t(qSmcgG!VKi3{k;&tBSJb#GxeJ|(tVot3Em8~*tQ)&bM`N{|D)2=PHzlY3QD852 zR_HxCMfh3qLQ!_frcQ04_Me-mg0WL`@`^nxJj;1_%naY)2baOo$zbw7FM{==Z2&pM zf(FTqwu%4FUoGbNXoDjcEBA2tS=#V$OYllEY(@rq=m=x2@EOrSW?$hRDNHYVd#)wd zgagmDYjZ!#Au-C%)qI$R<;fHgjMf74 zC8?w#1UtUNqB*>Wv4VY)LW9#hV+ouQZ4*8Nb+$a2oR8lohxtkh6BdicW+6#bmcZb8;RliVe}aKMN{AtaA47vVuPZp$l1^lCV23FDJuV=&kgu++Vk`Kf*KoQJM%nlq`~#09*5Y2-9itGF4;}C%l{IQv7E|mVLdjy-zcvi_z5>ztA8TzKjY;|eCB$< zP^{qd$R$wzNe0Px>z=T=|?Ew~ly9k0%R;nwY6JUDi99WVIWYXl@ zS71JimHvR~opm`kj--<7a(`1F6kw?!R*LKZz+$F|HVbz}=*CJ4{T6XC?ShA^I3s)z z-~zv9B~0&!dDp>=SJZXPyY_ zHkrSZ1^q~cWoip%UzazCOP>0jJ1-PrpmnBfWLMfnNCql0U8CU_rY?HyO!+yD+p5|H zgR6t6%D4*id=64v+E(ln;sVc>b8ByzTvOw*08xem_s@I>%rPtSt_o3Sc@tC1Vx1RO zQ!3gvi%OP@vGoWv*=a`q4So~ym zkuw133HgbO_h;8&7LwLDIh2ZM)Xw2Xkvc((K+h6{#Z=Le^X^hXJLN_0D;%EsxS7!p|Kcesh1zp5x4f^uTz&@nI&mIl@Fb7w8%V*LcW z^ZB0vxOzKa4~F_$5~3v`k$@oiJ2XaFnIea7RXY36z!{I>aoRlDYk>oJ|e71gmq{ts&5l_i`L8@ido@n6s41$+a?#RCYEji(&SLg*R^ z`5TuERV4%==#1;T*nsMAfrDMZV9GOQ zPIGH?j7br1wWB${D!iL@zTFS^D2>wS0{2QRP16@7=Yy|>_Ae}lf*R^=DIhC6^q}1H zNb`7;ms-=z_=B`E^RBYS;@I4qGPF#D&Mng%sW{$WLGiwKmN4{ug?AWlbfY$KbCAYg z{$*l9<%Iz25Dqj$4lsoLh(#QM%}rY@%t{k{X2IxeuF5c+#t{rI2eC<=+20{71u@|4f7GDYY{jK5#a=JJNHke=cn;>x34T2Vjlv7kguUuZu*Ez=bq7Cp`+2eo*Oe>2#hojFFxrx8mTcZ3L z3>$=-KI&LMan0ZB_OvY!8QrpCq*UA52hypGQZzN_Z8~72zHPl z>3Z@%+)wKP96$mphH}tCm_MAulEV~O-6RPo*ph3G;L#Lfnl>zbrE{Bn;WHkl$AayY z^WHkbA}NC1tl>z}ToO^hC@!jTxRUM%$z?;;`}oNc!8XO^GU+u@2Q(vJHAEo@A#wK? zE8<+5B8q`5C%zt{FLBnlG>s%k$3r#p zHy~o%<^%H!#uiQO81?kBgZ(Aj8pCo*(9QK7zf&tr7X|NEc&4|k9KK-@Pif0Oc=>V4S*oMML#NuZP^dXo7U4-vs zgDVqZ7HN6`P8+f;j}hNsF}#zAcBn-${Z^*h9)oJLZqQpN{%%X&`g$^KvmCmO%~c)< z;`;DKAGq%Mj#-Mg2U7U^wV(J>Ky^+aKRG1BQZ zY*)MYcRwIu2JW($6)_|D2;+DQA-6vlnY+R*h3S^Hvri@c=8BRWYb&gNPrFNLE8x+x zy1{_w7#ATMXnlTGb*B#EJ{DIdGC#B)J>lOj8dtU|n=u!DAPFm<);;>`YI2N++tW$# zGTp5<*VBmYNgY{XZ$*oZGbNY!=|umE$(h(Ie68*4o}GQ4Dz553r{Ege^>E7yl$Ob* zezM~hhV{+OJ&Dl*ONg$aW#^tWh(*JmIL0!4u~HksQ$WQ@c(`7%z*n1RxbMC}Ah|_u z`jtbxixIKd_J1WA)I2Az zz?>D}f@$cpd_Dueafh)_`V$vYT*y#t9EyTH4RD(pSbXuv&-q+`gtwlQZ?OW2VGX+k z@OM2DF!0>ZN}lEOQBtsh0>(KKRODfnriag#^NM^ot|vUf?mq6*wxAn71nGV+Q6J0p ze1}KKp%!><++wHgI_c1pmdWq9#)IF#MbKWQAVzj8_$dgOUNJpu24*&6<}m}WJqaH$ z<=<%(Fqlq&oIm%D&ye$?lmaH3d#xIpUCaq23$Cm~=D3Cb_QK=+1b0eXht>^l0Ou~k zD<+vq*vn|FxJ3D-WIhIoavrSygn`yTKj(bk&m|T$_x)1^t#&f{O&9qL#WN}XPp<%* zjmO@wG`i-|e*s#&{}oHfJyh0!)R@&A^;GNhw+-&@_3zRS+|^}zmu%>kOMWt1*6mnb z``w}CxpVy?gOL`b7MDDC-)PtfqJTXs%nPl=Q)x4?#^y;`)3 zsIGcD)1zFClh=WT>)7G!;iT}pqz`FsAD&;16HAWt{4eQr(oMJL0hNOd)Hf+JjI+@L zpU)t3U+E*~w`9Cf14i6EZlaaN9WS#s6hsc4I%BtAF1)Z5xxD{*Qd#=uGP*qY%I+m< zx9N-ehF$&3xwk1J`16jjuE5M`-p3$m!VDN6Z}>{OJ%Mvz-za)u++73* z#myn;rLZo`(SZC@jhD3TUeF3F%=h}AxW9qafxwfGMY9*|6o@dWw`)M|C31HcBqmPC z2H!o_MKdjT?r=}KM;)_$^5oK?pzt!2{>A1p+e6=So;p;@SFGI@s6*0q>MULJ**>?k zQwZl5a2+Fk#p5VXqs!OcjvdFPrjarvw7wk5#h(Ke`q;xirB6} zCjX_@+U#m&9~m5A_qE-^eYmgO!XjUWbK`x}Uv_xG4nI?KL)&A*?gIIJkkwQCSGnCB zI~jWMf|xL3H#Si{p_na57Uw@gqA-7@)v%(xTiuGMKW}Uc{_7%`)DNH<^*)FOK z=$Mh0psI2XRiUOIL@54vmRON&ab2U(^m81@RPOvVz9zt0M&9db^%7B2YIl;ATWXR^ zQ;GX7)5=BiD7hY(IK@Ma2H_x@m{S_Tc%!}K5}VMQgZAfvv?>%MyVw_T;DgE5%Peo_ zyl(@n_vV(;y?B zpQ*^Lof@W?D^De^CF-yiN9kK+*!#4hw5#9YSZfL*Pt6p6mNTj@-`lChQtEj(jCfXq z^!iz?+U62($ELkD>FIXbAxgn0Vq>cjFYoZpmwL`zG!33v(u^pp|Cn2AO78M18%yJE zDZhT_;G*UB+5ESrOBeshXu7ATAv|wm+g+wlP1d?4fs&5r6pz$`)t(j)IrBVDd~7n& zb7gyb^qkfzY7pr?{yt(BOwx)?gCuvi8`?>kts)H^U9*QN&?nxndpBvigE!=FM1EAW z^MF2d3D3CY&_b(gzxd~h`n8+ls~zio?R%@GvPjb8Rdd$lma*ay{>`;&8k1*E?(@z( zCnj6jmJq>80qUGoSZj$0BF4noMowMmdEFhD`Z3J#4XUmGdQg_3u}5qknCSia^6$mu zl(T;=+_3bi3JG@APufkla#8cK*aix4xRdL@AJF#$RJ`LSn=e)+o=1xA+q)JBqi}yhMW-U9P$5IK^ zJb>Mn|HdD6kZ*IT72yVitZzq83aaja>_-6Qj#-j$>vyNt?Q5Xa2+(B7rM<%{>EuTE zYVtES{E_ejKE;&`s5#FY*-XuQMdhqa1TeS;$A;;V#S7oYXg^E#E; z7Frs&hA)eiSXhB`27}d-b$^~2wKZWYY55@;4M$|^sa0NQ4vA$K1RsBbLwVmcKxer^ zuxoogf7boc!K>?w! zAk)j~<2$c>M0pP+{y|at_`X0^7-tMQAM2AN>=2@CY1e&I{&0v*%5a0>P#dd>7xZDK z3j1m~RZsKuh*DWqS&kpx@+h6q?9$RGr$ngd3>liiMf$&VV zB4XO8&TZrNejK47{&!>0Nn;Pvg7>Q`u4X*sKvM!S-z%3sNSaV}oEfy20EY^|jzVAi z8IU8Q=ug%e14ZHXZ{gN7FJ=srgrMmQWv&%;ZaU8(hxZ!;7WP=alNkI!I(=MTJ67&> zuj}!hPk2m>-_H2r@d$0J>l27$em~AemoU5q?sWD1vfrXdBGwoW2a3s3(E2`)A>cEP z!0;(qZn(S$WW{TwS_7_(3gxkoXpcwU5xf~8@^pO7DRBk#-CV6d^x-%CIX}-}q7SoJ z$5@9DrvKt4!uwUzX{A^hG)H&xnR_)?UUUQ&rog^hKzh9-U8v<)_>s*A@b?uL!zA~$Gkmj?ZJgPHFQL7K-QRw<))99_aMg*-pHqY!HGOUs+> zsaA0Avam?#@1dt#NJ;@w`yk(Wy7!LgU!04D4$uSgWX_DDeHUaT%QKNjhe+{*Br({0 z8En2FvuM|JTm(5%=1D>?CD!v}Ki87n;>;eRmn+n!UpON|))R(9zolU6(}u|th+mhB z*9Om&dH5COM@tX#YBl8Y-lPXKa{;vKwwgZccyZ}8^hcfF17SItT6n)9TG=OmNb@Yf zV}H4q5PJz0y-2&|X#LbdI|R3)`vr0P*n!J)<7%{;ARV7~@vvZ#+m>g3G{d^QF}HFW zW*&L^TivAbiXtK|TsK{yO4h$!(ob#eKyGzp!o>4>9SJp@lDhQA|vyo>HY8y9Ms{ zZmGQjWFqtuHkgR61%DCKxvs^W2|NUrfmt&)aD4$HzGLSH z)#l<7Vz8)T_v;k-4bmW4e{f>LuguT8B&TWQcJM{^&?HSp5lSl`kJ_dsXQdQ^5hCpo zpK8v-@gP}1*Bh`8eSX{Nh7IB`LsY!8jmF4--CfrfjQxhZR1A|9m4@n>TwpxV)klGEpt!vgo^`~J z?PBnOlnaqQg%sjE6(d7SJnU;f7MwM6v@LX&`w&@RgN2NWmP@|7d18u+k6X6$h)ft-KE^ey zeOZ&DXRs_g`ic8epvQ@)i*kx8#lwM@ZMS?|aOl+wD@53)GH^%ehK0u3TlZ_nVvrFb z)m!9$8=MO?t|-&M4SXS%u-@HoH_|797+6z{3y*$Amu&Up)eiibvNoo$w0SV^r@5SY zu5qpk2`F;G%|5L8y5#uV$!;b~Zd(S8wD;PU7pdY#CJ!p3T`q>=tD$k$jYmA&2;_48 z2j!u|kF>`_W=uDBFW9Wl0-fN4OnGwYFHqBiPvFUYR^TL5k$?_Y;YX#WGaMkA25koIZLsJ>;scG=An~)oki@ZaLb!;%H{3D_KRI{0{ zF-|s%1s|!sKtg$$j!Ox(=Q1%|gTUA(3l0@T1jJ)d7+Y&w z@j3DEona`LNH(EHghfytsl7eJb5G_NKJogx`tgyOzkdGex->BTV0z)@LVQBz+UGU8 zX9NbNZ)@#7ESpYA%3FT7+|<}LaC1VRK#mAYp*qs_b#0+=Xt|)AY)(bZMZ>n$V zz22L5s9^fZ0waLozJ(DV8~^LCU$vFBU01sDvh#Syc@q!j=3Xw-x6_wD|BBccpdqzf zP}|kk+f*;Et!&E6F5n$6r*CJ_edrh*#@61JCnz5tok&T|6t{IPyjvz}>etpcO+T4) z-{PKt z`$S-H`nLA&!=uwFsT=io4cwWCh)khwq3avkLO1XQ-11@B1lhzkB`H(f(zP(ZOeE;n zRyXzb4CLkVrl&UMIU+tXWo`9Wd1-CerH${E*VHH;xH(*Kls7RxJvY1HzLg%Ikg~kA z#t4ol;`FKZ?ie`H)|@(UeYkg{1D=eD(do?8yn;hK42o!LO%xuB`5ZJ?>XtF}^{m(AlH zucdE~p!+Z|IHIjR)qM*+B_WS&XsfUJ|1I+WTj>9P1+fln{`V&zRdsou35-rQL-fU0iS7g-eKiB>(O}1d??>!C{Lk^K`PQ?)2j#@}vLTSCn><38W9x;l{}&AL=o~Kz3<=Y>x^c6# zoOEOg`ko-_j-QThLV{Uh(6s{MdELAH>CF}x(2L5vxbNu2lXL> zPKBu)O)1VlgX*BG@u{vYCim+65iKh9Jrv$s>(LaQ$p+0m#FF5MWpNpPN0ldm*@Vy- za zdIT1Nb*%E7W{9O4Q9hkK!npOGL(`R^5x3XXqxYmHE~VK{&_^4RDudo-q;&Tt>LdoG zM0Ummv7BldfmA)B#fqOr$JhK$wQ9{^39K^q25!Bb0`|3j9HBmc=y!4E z1AUXW1A5uFFPoO@w^Qk`vs=u%f2Ugf-gPf@hU6Wj-ex(((0IsM)wjMf(#%y$dj%f0 zyWfS!)#EFiaP(1L(nMXPxx-;X;_CY4zpblC>PU^Ee?F)+duVJWhCZ|%tPZ3&+-h_2 zEdCn$)@}@DX=y&fs&(X9CZkgKcpQvOZ4DoJ42`_@UxYfj_%R(-{^Ya2#)_Csv~l{7 z)c-bja?j-Hr)17VLN(RFBQj1kGCI|YW_Bz>xbs!*w{F@KAIaSQKac$#a5h*RvGALQ zN2ulG7si`S-pUg9X=(Bihvnj{x`UK8n=^LK_v+&|S;PrTVh@}@Lr?a4#~ykPuB~AT z8M-=PR!IV>EQfBYo15=((#0I@p`EN{tQc`}$*E2%SJ-jWD(X_{u$);M1RYhv*p3pl$Y@){sz&Y)>wEthHRcePK=dzjt(taL%{RyS>d6-jRf= zmMI8f*a2f*qV5*(ZJp4;EJJOrEiy-3FL9m5IDe22-IPPg7unoL%`=>{9N6<-DqXokcY zr$$L-=l+uZefx9ne(O`|c2)Y`4PG(z>VbF_Us|YbCh3jV)JlaOfS?^%DEBhDS#fB> ztm)uwk};Rff=ncqM9D$h7L8>=hZ3Vu8Ya6w&TAjd^>pyC_4m0&6WGrt5`r^V$q)Og z%pK*_ng`yhI<v7$Hl&bX`i{93kTFv)tQ> zUabh<4S~S=6Jh;2YM5VF(M++A=45n~B`v4Dl?pO^OA?whUw7}7K`gCF61qQ!&9Y!>X+;f}8v-sszhdRR^V65{Ag8bj;_T5ztHvYA`mTj9nRm?cA59}1 zhr3TDv069ns>w=REU`&askt>6@c!_#vCPA`jG1}c>ad=v(cX5tmf?|-r^xiW)<)l(=TUBd9sRf+rGf8dLZDOjP0OBxrFNGNkLFZ( zTvlz{fEnUi9p<(0n~^EDyd&q>Sd(_^z@Rgf;9ul!!)#yOzmXDBOVuA_$21q&`eMCn zLX|>;-mDwC`V19IdR2DEq{R6CpSgyYN|=bp39pZMx-Kd<%Osv!A^(q|^KeK)ZKJpX zD&RtfqN3r(y=PW}sJLTbjS*0&P&lC|8+R}4p5@yTsSI4&+^T#ngeWxpv~-5>u5E2Por zJPVSZ+!vr`d(3n2N57Q;UPNc!8bIEdbp6uf`eE6_rPpH`aB6No&qGBzrq`V9Epc-m zL3|1v?iZiLD{CU`w(hC84fv5C3%NBJ{`?|NHz!YSCN8HU&Z~%x%1FK6NMulC%oZ;o zClyj?P4L&5YSe4Rw}RsdB3%nL59 zhC=>TPDJvJMb2XTg~fJ+By@x%9&;228&&RZMtS)w&f-%(z@%#C4V)?VhQiXkl%SjB zOI{n|4=D%c0r5nE(o4FPv5;%{ruhgF^2UioNtU~4s)<5srj3TIY%4$5KFm`oQQwaW z`Fn_>5CcE@L$3^_^+R2&HYzq_2jwc0MzsRZki~uGbF#J4R(Y=72kA>%+$u+cby6gJ z!F|^#Cp;Wl<0LsW4jqqH=t>OC*Oaa}?Vi*iGY z$7(_hyqYXD<@1@hZM4U^P~q=BgmO(wFJF-e?^}-W4=FLH5B$O73Zml$YXD$!4>YDi z$6iD!V;pg4LBcma(mO`sGL|OAfR^j&EGH6nDS@cQEu4K8+ zKFe^1a^!KjW~b6m8=CJ#2JPY z zsb3^4dFpG63IJ5iEuoALZ8CkaF3Q4kmb=CG8%>fo?Cx@s_3h}YC8txcm}k%I|5QQy z$x&yFp#4S-kAwA>s_Ll=Z2`)uIR%a?wwuHB;LVP0a&h5 zPPJ1wUc+BaJei_qSr8@B6~TP<-Z<*K`!ucA)u=HQ-jSmw_nL<|5*{7*g<09`TooNO zHIS{5fsEKOuObAqZs?nK4%U`a2d17M4iRGzYeCNl7b_7+xB z{@wAWL@8YgB$<*W@2EE20~(jhb85^}+Gk}*Wz00T zBfC~hZPVIyD84DxxdFjfn=m&BP7Pl%kJ!iM#f;+4ujEkMa)OQ03_F@Eb$VIH(_lhz z{#e=dc=?!gWaAgBHYQF-26!PUh+qd7aBjUA zi?SlAR|h0)M%p-a1~t)B7ZU+u!0Vu~7%h&;36x!^`4vr7iMw=hwXYyzqS}Wc_3(mY zf660{S`OWs7dlOm@))d_eg|WHN0e(I9+9PhrgoSmgMaa$6t1^+IUdi!^oe|!?49-H@=*CaBH$`Z>)@Fbxh$K;nCh|VXnMCM_A#?* zV!JP(M*9o4nMe=A-f~mBZ$4`z9N{b}kPV$R3WajamtN13v{Bn-XsM4aBg?^CdZXDh z{eAxiPZMlz!;eHawzzl=%<#ou(V!`I5&sj$yHuF`#MlY>Tmb^{rWQ<$D*vouilOlX}q2uY$|M3WfL;qTJA0Kv`b6;1en+$4GiX2^GuM9vKwn4}WDI>#WXCLaJ+RYqce^s#E!)u4Q($lnV0HphoH3HuI8aBUZk-;8Is4Y`eE!o!^D51_VSBN#ChMe4!oAXwgc)YV_=rbP`)*MC zr3y_FN$uwR)8cnkDg_f4PPG)z*j5U=_I&H_&&o}h&KcxLlnIc-5h6o+&q^fc1h(lD zzHVRaAjtT%i3udVSG&m`eLs8PlvHq81oUab>IzS&DH}ydZh1b3UbAmS+CJQJ8bkl8=*&o#)}_lBut&7O$LsdDui*aVzFMO*x=qaHj;X z)-Qhe3slWJQmPlqe`jDsf%K{<`stdAvanby@hUP!Aw^WGia5P+ypjV=6sW8&0Niq4 z-l7~MfPfyUkTb9i#xA_!Yj`74IFzn?;=9lzAz9J-a|uR4CqEGm(E(<|M{7gcAFS;j zjm_%Ztsz8@ls}oBjX>fRLPLKfjQ7cRtA%aM<`~{AOB<5!CIevNy%svXrS6cDe}nz^ z1uHQ}rLETT$i2?&MY+t=P|ccw-a+%ObyRy5DhPP0^%eTdM$6!l(Oi#F^UlheB%8kn z&;|Is>ap}xA*lM2kh`qiu{zV?w9_o!^;4P#p^x=(iw684r}N_BLmMIhKmS9fay%jB zF(bnvp434-nNsr$jU@PRWONjgEV%e+`_n+6Kj!vlXe|%#x#4wRu3n^>l5p1Fy+uh# zT~)}Za||km#2Ff@O7!n3?Dm-+ZSvcOi`}LWYbf4QpFxW>%(Kq`4K7?YKXB3xFtm)U zCrM5w0w2+Wl)X9*so+`wa;FxS=Q~hLZfqter4^9Z)}HMif+1u(riD#D`JA(jkZWwA`^9Wdy;N|>t}Qp+zx`!2TE?l1K_6x8YK)mNo# zmDjrIZcx01rygk58YLJ!g!rauHjcd-qJL6+TA($SwzcZufEhtgb`UA3Y!Bl!_cHCs z3PQvAG=8tPnybY`;P*5@-K}?q?x<>ALXxTq&6(PI|B)|8&)|&PHj{Z^}J&| zSr!m5dJh@b!Rg6^fWD}+=s^*02%fgi+8Q|n)wv}Hm_?OIc${{lN_t4vG*lPY=vC|T zX5k+66p`bl=o0gh1Uf}YXoo;+(NukOqdgYjf@_M>bkS|{jd6|xe`!`Pf#-`j z7AdRxs1;6R^_CYMRUoOPLsi>(*}gWo7Mo6{R^iFi>UaAh;Sp=?=9XDM-)V)IrH7YV zZBfIe>S#6gh`?s3Mj17X<5=VVCQTTH*SVlt7N06l9%u*QTZChw1&%OP!U3vHm2awh z)cf>GGzuS;z9r(9%`~^PDScJ`*ke9*etnxqsJsjM;9e!i z7cPQEozoVR_jZ0`iVWmi&-G}PkUlIWCATo3{S(?(yyrBhbe0mg(+FSWnkBDr62o9o zmHnyK4UgLS!|nY^QHD-uWAq=)N~Xm1Yt*B@i0Blf5`u-RaH-iUb%_amGYc)Pf0k_Y zyl|KI)DcHUXCMtF*aY83=q|+p6+zywkKk;{uLuHjUNlP-B&iZ2+t&l2W)=M$0{F|j zmCRH+1Nr3dBM?UQeNC|Ge+O$t9W7TYNJc!aYD;NWAZmfcHl8t3BdYu)=hDs%C=W!y zZ2;aHRQ1V2?d_7?B(KL|%h_`8+VW-SY|h1RO)9Ua9nKI)inhX*ahT>)%V==zti_Z? z{U?o>SNu(HRZa8q85KqDwEWBj$D;95T&fFO`CT(SdVbTe;^r(y&seeEH`%<9@DQW0 z3ksnX1Q`mDXA)JwIvfU+ktS>~CZp)_hXCsw62<*Q91@1$&7N|ex7fXtr?Mi_&drnu zwyKKHe7dT+2o{r&`X4iCU!8v5LMF$IcLN&5eie~AU0}epW08MDMDJq9bVv^Q?b|N0 z9jU%?64U||g%J8TGyBvA2a1~51kK`O&V(7~CYt@Dsox_)PAj?gilQoI#1_?#NNfUvj;86wt2K8ZL2V# zg1fE8_5v&{l;rd`w%B2{t@w@^NDKKSkfS?r(W_gCekhLu|H7VBzxl@e)HWD?f%(1` zZhfO~(zqD=kDf;Ww);{WcN3({`4AM0rM^|zh(#cOMzcC*t=gGN;VX7$dcT1p_R52wc?9k$u zcYP;}-8y+J`Qy(f)0Ea7Y#RifzApCYJ9K4jk;8#rajKbXh-!T?=6yn?|dX{=R&!_z1;h}|7hx724ovVEGPy9jo&iJL~;){NA({oJl{nxxPPYLI;3 ztdg>SQ;~xzvDn2zG}wg;FZSA^@O@_!PAanNy$PI&_Ndu&5uz4Mo~}Dm)#6$}ZaTMg z=4`?}uUZ_4-z=>7hPMT&A^XGIgzl4V@qUYG4=^@}OMd7}$X~2S)UOO#-?3`l%RhXt z2;fDZ7p_)&R_Ph=1KGd-sAdR8+`c{kJsXc?`|{<<)+HQNNPrE}2=&Q)Yjduvt3y*r zvCMX}=W5#OH3c0ZM~p&&TNe=_O1&t44g2fp5v>%dx&nLT7OyyIUIh~1O +9@IGm3I80+nU}U$ojsr z=P^$Pe)=h&KHC@kLB~o!Pf9oxSbIs*GKI07HcLaD_5V-3_QKVsx3#OpUjC1Y6H(u5 zyB@zDJcnnFY9d7cIgAIYPj&@eNEJMDV_fU`Qt@&4hwc_@z3%uzcSoDcPR6~4_=4lb zTP>4;*Mk9CD>A%i5KT;X2EqD$Kl9lq0P5EVw`&UIkb7<7O8?ZIMe>ab;s)+Zet_LO zb?JXv;cfO(73uULlSa3(geO{F)KSA(8BxqVxjT}<1mlM(XSBUuQPwp@EZX+*`Ehrg zFoz;^)+ zB9?p8lgq-j<;d=kIw zjt)>P5JKb%_1FJ0vMiY?7|JyC*^}}}#eSsn$V|fw1Xvea!_H%!2~cpM(ex=D{=4mT z@?<-o2~Qd-9;!9k1Rv@JpvGk|!p%K0@Ep4uST^VsP3RC;wY9@ab4iEstH;K=)0%5y zsiUj=uEf^+E)3YL{-M?`zta>lr4+%wj#tFi-W`u+Ye$Mk!^Ct*0Bg2f_zLK<_{|x_ zO@bhQ3}ccb~_oJ9RQcPB7g1H=PZB?Eyx5I?1 z&*M8|?S5s*j74?yq?f8Pz`6ETh-%e#6&)42svM;EYUA9|HaF9VUM^UsJ0H>Z6MlD0 zo|%SVG%1d(Hetl;27exF^1drKth&Fn+@ZWHWp(q|rCYT~BkOK&Q6HL^%8H0`ol~Q! zEHwxf+XGb?LDmYC=c~GRMq9Mz^4+cVES5p;?1qz#4B$d**<6|X!l95ACFie2em__% z@_Oz=m2=@`2(Z{$JCV~mm*uvkg{zgkxGnqC9`p)A2do@6gCf&%b;$K8H4j6$7#veL zct|oRSU4CaXN9T!0jbKA=pVl+SZT|_B?8|zu>4`1j%^C+a@a>Tx&8Y~rr=jCyI*F!8T6=bQH8DpJFLniJy`WUX3+QG@F^C3 z98|y&5{ov5qlBJ!TQB+mtw z{b-;62(5G`xJdn*O|qNVM7C5kG+P5*FKHZdORf$W?;SpC?Yj;)o?k)oFya{@oExJ=7f->l7v zUoz^RQw*P!Tgsuuvpe8RF1v1s;SShgex08#p5<=f(%H4zXendO9#zx|?aUA8V-LBn zC9rH4)%H37Ix`OA&-fF0P0BdYq#?TBPWdRuhE$q;vBc~@u8mcHzU#uM>klQb(grGT zlvI*4PNh*7LDzQjKL*;|njT<3N4`ue;9C{Wy_Y!d0w9Tt5!xj!$(pegvuKoNC`^cp z&q>RbE~^2F`HbI2Qmn28I(`&=S-h+@`{fS#n87e6vni#_=Re)jGsIP~JA8zi z)nPhMwBsP((_B+(!v7ygC=ay$%-5Y`6KKZ@SCM$5Co#SOB?`B=ixha~<*vU&QD(Ys zHH~7f;^&~{0qv%Tm&&Y%mi@E~$JX)WMUZ9x;mb6w;2u^OEJt*gAvI9AAG%vW!il}m z75h+LJak`bSP`~TGBb1Ykp>lzmX;F~2#_hOySalxPlMd7Y=6#xOgpDObyd=p1X+`6?%rKbSB%-u6?C4K9O-TRL;jl?10J*>#qxKZRN+Bq`av)u;J;sBeF#Kb-0qH-iAijysfj!Ig<3gHjF5&M9#!Me zng$|7b?4pbRTe0ags&a*=AWBXTH)Hwl4(qi5l@KZMDu#y%Pyo zX1z*{`fPx;L+@OaDCFi#oXdDU>E9cGOQ{?0-v|27ovEDN&h17bjb2 z`RGJkMGJ66I)`Spvt3HUD}axeW=Rtp1yh1sE|hIUg+PSm5WC;R^Q=H z$I%clsc9dn8R}_2lR|4Nsl-!PtZ@DA!}`wNA+Du$12BLMj{|KCxMq-}7ucjJ5cQvy zGFYry{am1miLC79fy|GJnXvlbHRgX3uC!Mh9)%C?f02$pG^-aFDAw$SrB^ z?PN~JdxR`*BH1^cRVyf>>i^!|&rdRpgVDWv82Y_S*+H_ySJwpJ9!-}YcMy5&{c!g* zDr(E7q>bJrrrV|7uc{Qv`3A`qzT+MXSF=uRTi92@d(pDeN9zl%-qnMQ!F; zQ-9N=csWKqOU#mcf%B1nSDU`~I~bg28+kogWva$H>a^#JoSMFFYRUhy=Ez>TQ_T6O zJSQp?*NP)qmYp~ z;+1A0iiUR%bWpjz?&+4wOp6#R)LMY1xo+T>UdS^=gZ;3 zZ*0rAYcx0Ht+Do9r0nZ4&WjToT0x7+w|GZG`-t=6`HOD^J--O0t#XF2+hEJ3H}#*Q-Q*!9o6 zi!$%eZx`<$Y3^AEwOTnBX(Px!g+k5PQV!PnBVg9I^UoAS>5*RJeX?)i*CmAH5q}wp zvF&A=qeOIS04@*;cYy~$RKczW8ZBJ2_Zvtl_hc%=6(~7EYjeKUrRr<_n#OR06V+8# zsrW|T{lM`gIHCD;k$s6?+i!+zgdwkFBH$)(7m0fWrc3yFPA4tZ8rm)_@Fl6LQ>4yB zn>TRjGQ=!Ga$_+Dm>5eOM_|`&yePH4{?!`QliV5T^{#nwO??tjuZJtuToF`GO!dajL7wgBW`kx1Bg zCmvr*{h1C{F||C3$SL|l2ENF!pEdQ=YZbhj8Sge*0BUGN;rh?|PcJ$CweX3}w>aX% zmt>Uv?kdVI^&LAgwP^fRGV}KZFu(AKtNW`$?3j~b@e+RMY)S6`J~Y!_xm~FQ<23E| z(8}hDTYBrr5=gg;v*=;n$?Pk!J2^?7OY##SfLfz@*>hB19>7P%?1-kjm8JIgq2mh^ zYOc2D)fDp^&ZTI84aUGJTrq%K-wNE{ROb6>W5`K7O4REafzA6VvHfV(N$tJ$z`@TNyq<))Bb05jcG!W z$oF|nZJm+WuZl^TDQJ~|JEP0O={mv3_`D~klkY^8CwHRxn!a=t?_fD>?bA*IpM-SM zozMZ{nB6J{=+Q8GwI)XCBgN_1=SH*zc)>EiS}eYyr|Mx^nbI0XQgM<>_$zE&!snxt za(NFSi?9sp^W(z@ari?nLiC0~032EJ(9&eDNm?Ilzlv7P4Vd6L@4TgGct_~zgg0uA zfdS%iEV;`8O~nhYPOkYPB_rq5>+o$P;_9>PiUIR?S-D~6JapNM@cf7aiB{ytj5!rm zcXu>9Vsqxjr)|G-s(Fm&DHjZXn}Tzm)mG>;T5=gGfgL~&_mN6TY>I*tqJe0SuokXp z@=ul|bpwpgmnz|y8n2dZGI z0TF=Y#dtslp(UMPq**Ga^3X>lS}=u7t$T2(M@`ygfa`ShcQ{Pf7@}(hJ}Ty;`d5tw zL=y5K&pZB-?floGdcWy|cFK1M?aj&hhg8Qu`+1(lF{SE#<$6V-pL8DHd2*<@QLOWM z(qbttUs6}n0cU9?r}Q7HH}{X2GL+`@c^1z~3F>!0Q`4-j$SXc!21WW(^7K+g;9c9X z9`(1_TdPd*vH!Np4B7Qf-i)rduP=d#UiX6nfLIT!t#hwA4vtZuWlm%`AntNRI#=U3 z#a&Stg}`Ndn#0kqo%gYV2{?zW=NFq3-2VsM{;3BV1MKBVa=O zhhnGWKNY&#PXXT6KeY5+hI*P!S@*R|?laFXH^>i0I7Y=kqQ`j^xO@wz>g7A+J!IdL zxz={Fd<6h%))|mYV&^wd6jJ9`)Wpr(PTEH$A;+mKwD)qv+=fo(-Yufa$&)8TOQl4W zS|$9Ekx>XGw1w4z)Jv+5d0iU;`Pbv3os%_!Dg|*$Zu))cb9+@m}N}?V^Id%#xqTVanh3R{W3K5S7_O1#e=9Og#mohIZCAg503Qp|Mu zCdFY_^VKuhj{LFD(0%-V1d3;L50Q2R&MotnN)eniv{z-1r-#BW!JB<5dQw@5lWG)a z+wS3`M`A}JE;QZGGkWqlKdlugRmBEk{5g=Z5P$Wcm_t2)C$;wM{5Ry{$&!bJ#&aiBn~7_ zxPVzcJ7YSqeLSu%F95f6nMHi1ecx>a@N1r_*=BFwh4{sj3bP`LgY7#H?tw{AEn9m@ zWVXKb*b9Muu)44l#lcmbZfxafmB6UQ0*s5Y^>*mn)u1?~Mn3Vr^Yi?xyhR-d(~bk# zO!fXj1AY6pVPICO$+V9d8vU6tW)tOTII#p38viZ8BfMP+385c$P~C}yyFEzL`B5D= z#0i1i;k`PsFZb{2O%c728KfB|62c_r`U|7eIbtFQ(LPkw_v-n7CmAVSPWg$4G6zD& zRtg;@pXUg9>3S##QnGG!aDl_7ERO9PoW)$Sggd zCsMf*-b|d;{Nm!2x=9LH+%~sU8DX3|)uO1b+KUP{Zytko*&W;@HKv22>Hi| zB=BgUnECYh%fhMT9k6MS*HdzC;`igsvchMuxp5L%!irHkQUtJ@Nr}h?7_EZk7n7<0 zN+O zZ)xu4HDhF56J0{qL!FGX)dksVW!devqXt-n35#I_-qal#Q{7ADMxzo_jX+#EmWQFkOOkM>HcN zY@QwV6;2_qrRvzF&FR=J_|Xy>=LNwR9I&?UMXuepYu~J)E@O|0sHedQx<)`PbVZX} znD*v`X4@s$lSy}p{A(;F+uICGNW+H&2RL%S{dB-)VxgifFB~}kTBk0`Bz;sZ(BKWV#%Ap5m2|A9kVCtA_Z$5eK)bu%gvA+oIP{ zBHnytRD&q2b`Osn5HjH8z-+TMzGIHbPd$J3q~RmOU_!DtL3;YhI#^~*@6B{NwwlQ; z`pXWMyjwuidoyV_6aO*N>1=ML0s3zHG%Fwu`C7YhKGrWB92Xa0b}k^-0TZW8dNfaZ z{GIdUJNa@l`}b$CcPOb|hi&3t#aMSbVge+-j`PR!+Q+8OdE~BT%uoO6s$9H(dbdd6 z=36VZ@~xVY7O?qOn>%W{!!@+Xq-{Uv&8e+BCZO!FODAX%Dk8`%tP;NLlKNSxUl`T! zERPEo(tJBzWeH`SuEi!I0sfnTWoO44RX<81q;NMlh;N)brYMSep574o39Lqh2rO*nb#N-L*?JS8*v>Dm0k z`jZerR&MIeqBS#Nh}Fzdm&@ltB$YtkD$(iXH%VO~DZehl)?lM&h<&0h@bE`*l{U#@ z?37)Zy;+<6E4xZ34_tUzpa=761hUzz&dzF{<_U8E<4Ug;+H->%Rh zRBTaes(0v6;;2TO0NVU0CTa{aA~3g_=l%>iCo86cp4a69<{iZNNl^Q|2+&-)ii}(F zHfbiE?dP@6kdm2y@%tZG(}Sm{#VqzuEtF4vX`E(dg;2vzEw09}LiGjRCzd_v%QpJ+ zT|H0od%$-SN4s~Sa?d4zuQGqLO)}Kt|Mty9&aC3HllH`g<-MQmNVMG%pCTTLa^yYA zAef(cYa7(NMs^eRSWeE$Js%QS)?N0Oo>OX%s0EQW@%usFRboA9y)&saZh|)QBbS@8 zWMFoWxcoU)UiGlChZXqA*Q`tNd7uOpL^Fg@JL1p%TfD0IULv+Z;YmDMec6h~kV})& z9*2DX&sf5Y>10L(b}fm60p0ab>bA2tW-?&lq0%DsZ|zcRmO*O0Quy@5#lAC_Is|&Y z_U6QWyy0_@Y#j}@wG=Kn(W$q5XNRG7$==$EppWkl{eC8MX5iM5Kz}6(rW<i+%tgw)%fNtArTU%917d#AvZ^O%6ZXj6+duql&lH#sG7)@fow$RaVY$-N9f z>LpFBrEhwr`HsdhrxFr2US^r;`lblsQ!)P#9EZ%i%kIUMg`|-klK$uMR>J&hUA>bH z{5@~5-E6|jxg>gN)*LKNigf3JSH@&##O&l1C%W=b#@*j zfWYE)L|tBq%hyEP@$vu*?Pa*Gol_Ndb^2&oNK3mgA=kkZEr{hlfWedofJ&q>=l$j3 zcdGe2VpRl)2FW*tSO##L&Ov63;_c>%bpqoBM$`&j$Sd*6?nL*lbYrWX_&~B}ooFUk zFlbT#)2-fs{p$$!_V1#&E@Vfhlam)xR3;$#;W|8Fhe~XGuR^mrqJD%c)%>k*y0!z5`@8x?_foCV{zIG1lkP}H zDCVJ46ti8uMU(f@Hw0*?U0}?~QO&l}>cKaFOS{s8jd>0xGk}YlXT9ad9G*kNxwi() zqz1k&Htx)>V+JR^4$atPMI&A~ z{Fm@3U8mG4am-g}nu)CeR^R*U{ps!#UIf-8;9}W3Q{U0C#-dZ?aqkxJ zQWo$`*}>Q{H)`da_ThNFYzFjL)9HV|Gp+TPPvap~J!XzSoA${N_U+_@{&Ql}Gie^9 zjdb5!@*M6}f&s~XNz_S(aQB;dgsjpUTr)kzcPrV&{=tK37lL4ZfAryP_fD6wB)uAw z={V7hTxI;TJHMs1Qs+i{B&Ty`ru)Vo{F;LP=Q8kd#{4ar`_<=Q5yn69*!ra;MHphp$)8gEEu2gXsM(vNLzY z-@nV3zw8orNqN`mNaX+ApAkJ@wpC}K3!-)NdtanSyqVeenT`0T$4mE3o?n-LnNF;@ zjW2FqTOs>;oP&OaZJ~zCa(++;u`kHGH_YANMaQq*tI=O);R-XL$bTS^PFu*oUm)i| zZ8E#G7{Wt43`AV73_>th0wkkQqdb%J)*24A?|4k$iR#E=(_lZg-@nQsr$pCs8}VLD?x~M2;ZYz7`Np5BOX1Dg2zr25OwZjOuN;mhCY#i% zTyv8R*R^1@nR)btx8|L%$)7CM#QlunE0-m=L!3^IK@>d#v|Az0Zn4_lr|i0;;HP#L z+YEHKod>&bPQ32`bxxQ-L~RLre$u_s&lYCq)h5wDuc}1nW#V-mLqhN2w<}MW zl)Vv&dVlMn@Zm$|*3poQkZ8F#iGk@T02i|6sN=7lDYxTKzck@Td9H!<4dc8)Sr)p% zlKRV;N_v+UY660gc%z)ptHGKP@1& zMClh)O|_xA_zFzj9$xNXMR(NX|2p-@ewr@c(EH*CvRnH3)iVm^-rmUE_(A1mM^NP& zHjo4fPupt_B#h!2@YO1?nsM>9vzmlSqYdF#H?A&Y^25Zv>`-l9z>6r5+2w;fEY9Kp*ncndmL zh4Vvy^MwspCQWg~{!nxzW*V$OP4$wn**z)eyeq?MLu8|EBO$*!Rr0QW6~8gq<>(9+ zDQuV*3L)CVV)uPL%m|o?g+M?uH*KMHQ?*$b!%ScAKy_JW2d1Sz86gT+UiK)! zqii)Apv)GN(#>=y;=b^}7HNdiGj_B3#r&L~zCJ(^77YcUIf0Hx4zKY0Y{ z>pb>jJ9zr>4z17^B@W!@8##oqcc3*o-q6Ij02RPEJcPwaU!Hf2O^A@XMuN|Rj1MU+ zkT8czL{j}Kr0c0Vxjy+*;FTCmGgyDg0xa#U{=Djf?wbHWi5ExR_=~P#`gZ^uF4DDp92`asGj1H9K4X zd+UvwC%%Y9T$O2YGyI|z0c5>hqpRD1vM@msfkt`<(H#}^Xot<>&-4#1n z&awDjRZ;Vd9D}jRyyd94i-7q$H7l~t_=1gTAY%9+-DIyuL!WVL!g&={sQq>3# zJZ1}B?l0WEzzbH1jFYnbMsO`Gv`22x)ML#AaYx)bBEsYH5Ccw#J}?Wry{AU*BFHAg zn*PEqU+z8~7*a=@iYPYqYk$9G8oqmyvLgh=3yPfXvc-}~DpwVvbC3(@__Hu z^%}9Q_)e>a@b{7_5reK(b+Ru{UYQ<&A6$(>ZF)Pk>_0gN?AFr&-pOt?8&VqDUXtbk zqmzFf8K1bZAm{EjdZlV2qTa3%#Z37Rmd6ZZKU1Z zxo>9NlPJj;hagEZgKdR}bjM(c34tHHJ*(_Bi=&#|559=oMotG6s=03S53cAzJLG}d zg^0P|pci7Bi@>0>90 zgmJSALmJHsk)GK3ODpFrFy9l@HH2gu})zU5{slk9}u=1l!&p9g4!TT{c>Ql5P=lxmfJK_0| zDgdChitU*!mr(3T5|aLuY+SJ`6`l3U=;$+Nhk>NO6XJhm1alkGx{pH>2`t^gFRjD6 z^#3z-pK(ckZ5+S_0cEHtP8?4 zGBX>0XPJ#hZQ1nk-Tmf%ci*3L&ULQq`zz{Nf38@yT=?D@+~i@AA~TuwiP6;2_H>k! zO=}lTb@o-2DZH5Nz;>5V=x_71Q6c8r(pB9n_JPhtqj4lcR+&&MZnUPGlKrYyUq?3% zmyF(5|6O8!}<>h3H{V`Bj8@95gjvM5LGW5pT>4uU;9oj*<1f|M8s{u3FoM*eWF^x(E{M@4{YGMW~qKx zNs`I30Q>>UmL&PXaH`%b@`=N!DyBgxb1A7BRL{{0Q}$>c~9G`J6Ci6UU=d? zmR2?HSheo!kj$^RVccZ8wkg^5Pjzenr%Dj0FuZ)_vZY?wI`=^nUjHhH{?RCo`Jjk7 z>XnK03I%3a@YSmAe^;MEKa{i8m>T6lB4^|x+vPWDr@}a^jw2Z106^D<@8&Xk0m)db z0mwZGSislkS*7b^k96B?f-Hpdl-04=WM@&$dZZ zhOMcM+2^MJp*ctl1ErRY$qmcBs3tyPVcdj~QN$Q`ScvV`>1Xjo_p4U0Uqf%Ctm!w5 z{nl^SEgxDqNq%j0RZ(j=VX{#m#1`OoRb?+oeG5Ed(?E zjS^0Dr`8FW%4M1sQ4kCHo(>!3N(*AKZZ$CduwwBrzEm5FDObf{#^VKo$yoqx*!lz? zzrx#m)8S>*2uWK=`A*yl7}5?-vEa`w2z+bvXd$^_$ z>Q8}w7hk>~FeDm40=&WgYSB)t4bW6_Pb?DgQi~lNj?@@pCH8)JMFhT43vfjQ|NWk# z+}keDGUl_JiXU#5;R?(CY^9xa#57oD{j15-2NTiszP?>~EgdCl1az-PUJXRMJaTjx zB2MNL-zyBktDS&l7*<=GDw439L%Q}XnSHSUsal@cuX_7Q%b>YH6mF(|J`j|xhR&eT zPEH89H6n82J3uFzvjj(T54_DQXjEh~Uo0~QmgV%Dx6m5VzujC*iX|5B=p za{!RmyC^q;|CXw$I7RUFFD=4J0v-8A{Us<|>9#u02d!RBtBERKoKEj}YUy3r()Z$s zsHfCvpTJ#Gy4C*+X9#jv!Hi(`fyo%J_xF|TDOcS;Izz>`8~2U9hQWr%UI&~TdGuii6GXXPtmA9FgAvbZwx-wby*6x*z^%UHSZ_2?u3s&dq> zBqE4G54yK@*ubJa%nEf*IPI0azn0_Ek_u623u?uU_8nW6#^!^B%(}C8j)D z^_fPV_*YEeNeff~AMDVCK3!3%k}g5!L{pRULW1%bqaJqLPs4AoBEoOQt0`>qziY8U zeGE&*by_pHX7l4_hBoFQ8G#d)sD@=50=;FFX;Bg)MUCtss*;gf*nsSRdHQz2nKD_o zaHY2DM+y_n0)W0)m3=LNZ`5hs#B8+AtZQDgx}${{o36L)Z-1rQGecKKgXvW4LM;65 zRMsmQoSHbnx;wG@Y6j7$wZ5Tm%B%VnPo4guP8#d&sJdr-4+lvk$ zp2MQ*YtbGw`+5*6kr`OKa`;(>+1IHFvOmcS5a-_}g^`pPz8&aB#J;w%I*^lz^Ji~Q zc)XmocwGzG3N0qj#u&Q>yhuk)0Q?L9qWV~*mg1BeqGw+8_>ba0yjSSQp1h5_B;=MHCWr3?l#&M|3tN)gFl?(&KRvA&D4QkKYR+0HcF zXJfamIQH#G^Xe~e=3u+k!BA0MbKWWRustxeLph9#3S@jZ74_`qnqpk)e{{O?0grL`1; zi(d2whgg7{uo6iv?>^he)61@wDju0s&Z{Cx({xa8NvUZd3;~okRgV)Dk-4Xlb$Eol zPsnKIpRrZe;l<26_R>SdS%@V1qpEqE1vDee)homC4lkLb!%8zBiz69IdM#AiUP~}X zkpeSRRt$Nv6y}|fVq3aql>)#(L(RJb15HE5x4+3e#-g1uXI_!elg>(70wR9dv0LwA zKikSc@?B0=2es=Cc>G=%^l=Rdu(x%WwFdy5Ppcn5y}|*vt+XKIP*ZO}0vo4cxJM|y z3O$hz-8Q*#dPnk9@W6uRuLr>Xx{@%(F&v#Gb1~dC!$IXunNL44J+uo_zEh>N)v}$N zy?K__pKCu|Etg+hOe`!`;V(4ci6MEoRzYxWtlyh;84i98{qE@I)3(4MkH7pM z$1@_%VHGCXC1*Z&xX;rPlq_+PY|Oy1gt7*O&WzG5c?DG{Iw_yXMN+Ziof-&dTzX9% zY;eHWV}eTgUhck(gu4cV%W?L)IFKKX>ZLYWEu{<`C?1O$=G+i#!c|Xe5o0U1W$u(M z&pGh=2(RbrPHXnF_9g-b7{LkppmSV5_yfF^;PPLkt(U$QtcM*vkzn2v{l zKeT$WZMk4) zAaKZcc}1oQBOF(LQ~5mDcNv7{n|SjU;Xa3J7Mx&AWt~iF)b`IMjZPs$kA=78B1|G? zTrEuh$(2RM$Z=uxMTbTU1G(fo6n{B1jYQ_0$N|V?L5zASp4#I_Yag^*|6}u<^*|xC zwk$!8B6PL>aF~wrPSgE0X6q<2-SENTeMqQq3Kz)-d?4pP$9R;mV?}MC&JIHhpVFj= zeh$lJTcQqC85-NholPt!8A|Ycc~Q{00-vi2>Pxf}GR*>d3FhlQx903mI+ozWms&vG zRx|cRzTfb7I@47X3`%Bv0w!R}noAjwI*)3PR<}p?(b@*NcIvkr3-TpiK0A1$N6mFh zug)#A&-=Alan{qUL9a;Pgx&e%a@E56H)U=rjadQgoLizz!!U(Gw0{;aa7+VeIJO-y z!?nyRGLGJ8ND)&K6(2kOF+lu_R+77fdrNsoVj3$8<1y%JePIRsy!sga^5406(jwF$ zR+7j5jw>fy*fkWPZkLP8I~VNxov#hak}rlt<9WR9>eLDop{f=jI4i3~N=V-t-jhAi z#Df9UiHIDSw}SOfYR2BF0zrDjDN; zkyV41Pe2ELD9=_+as;aW{0~u>SZh@j@% zJ3;E46P9B-+&^Mda(KaHxXyj6z-820W!f@4W~d{R6gwEhk}av+&MFb2`v_hW(r1H8 zb;Z998*^r6MGc+sPt%-Q87Xv7uIR8MN=3-DK~LM9t!6G`uvI_U*f zp7&^t>o0Vh=$PAwQH?yo;$AV41{uc!b3GS)ZeM=pc}#h)+_6QO>h`#!cxGe4DdFsv zoz@lRk15b{q@+)fyn6B{|BAB^7ecWocQfSW1AMhke}*E6==JvIQu_482T;|jXEtsK zhlbyyDF3PFN%~Q=xorIKq(4+{h%eAVF1ioEuQSUmJ7vNt8kvFLPl<6dA&b{|6Z$!; z4`9)ic&ffjid)_}&TC{=S&Ugefw-}k9;DVVE}EypRmvYFyDSfGu<-QVU9zYm3JB|` zk3;2gbD}TLIh`3lSeuGdayc#1X--1Zn*}7X=P4@xEoMGj7QFMxxY0lTxe_7otj7t< zy42hdd;*&%-(Q`Y%9rjSC*}G(2AOqnXEp;un)`VFu?d8`vlawG!*G@g zt-b6ZhuTH(wNBM`HsmW%_(OE^p(KA0urm3cXB zOBbB$pd6qkz&OBa8Ut4K4$2DU<)J&^&rg7DuD(!CjLB30 zolHg5(1LVhqCGX=0*azamXC$0-}IRoPU*liwL;&+TD#q#--VjJ&xSfEzun(CVmYg% zQnd#$u;0y7k$x+`XncJ?BU9`|`6}_%mSCV2D_1ZM&P4kT13gEe_HE5_uXv6Yfio%6 z<8+CgO`lXp#f($l!y+Z|)+$ZWnIRxcSQeXQkhGnqhHnAfIG&2BN`f0%0Z_y7Of4m{ z=;I_ZDwRH@s|0NL#{?<3%z`DpuXChQ0&wG$IgPi0w+cNQ3gC8R44KDEnP)^j$BxZa z)nXfFc?Ru`ysMNI!Da&<3Ra3R{O8Rd&khL5=Nmh8HagcYqel92kd~^P1q`9Bt)K60 zjk5qK&&C-XHJr14y1G%jm$P5$3AQHs`us)ceeP__ea^#wCjMQ;?YPR-fHY=Bc>%jX75Cps46)G3_0F@ zHGypoZiU=K?4zRns^< zHurV%8TG=_QJm`iLOUmqhp(HgL@KRr!40watKn&1bSA>BkF4Ex@PAZy@po(ckB`Ss zoiFP0`rHEkm0bu@$XmT{)&QL&f17)1csxEo~M;; zZ~UYBhdQrV6-`R~aJff|iNyKvuP4cY?P`koUxFeFKc}5+5a=noLN(s%&dk4yfo?2& zFDUrh`XRyym=_4EW{ltb>(9!=A0GdY9y6)H$P!yp^HgUWWdM#TOKy!By7I}r`SDt5 zP@ik#^eWq||4$gQhjW>jSlldH8~fWIu>aq;FwY}jb1U9FB$hNH5T%f0)hl4np_BJl zP%D5xB`IuZ&hUsu{+mJY#&56>Y+v8%edX&t3)*o z3luL9WzIlp<*OUIN-57=@OFi}Gn{5TB-{Yvk4P>PL})usJ=qO4Yoz(t6F%g2>ZNVY zR=4@`nse`77Q^C9tSkKCH7(;Ev1uH2g2R{YD$SZT>q|b7>?&5W!-)GX3LX`eTN8Y_ zg1#Z4Y$+|2+y``F6OSs9+C_b!cxw-&=}jiA{Xpv6hSba;n%K;n4A=|h!r z!?V7CPz4~X?L(Ct{vtonH+EzWRp&>2Ga5*O-(D4$vsH(KBW2`m{=jj z~Ij1pNCkMmoY{)$7ypISomljTzxjGm1yVyw8n6 zYh6PE-N6pa=R7gWPR|Q!F`ziQYuuhu?pIKDx^Jaz7%U)x+@-<@@bx7li*75YE}Ot{ zCblX<14GmT9&Cb7vLiy#8iY=m6SGrsif*r`WI$>xMpLD8C_OmknZ#M{6l&peKJakchJ zsH8iz^ym}EEFCps4o~7qB2v1$F*4;m>Gr4EaWleW7_kCTNaeN>2Ltb;LGLarTp`Pp zV)sMe6OFWN_h*c&p7IG3?6c?xh*d(1gs_=GLTm^0KtyD9D8|{4qWa{gRCTg&V(^>C zo`R)Ifl-MT5-*j^CVDTr&q&tefDC(y2U6yLJ{5qBF-Kym%Xgxg>G_21Q-YQC$c~jgTSMF$7ehPiC##3v=K(n z-t87|adRjp$6 z+|Hv(rVf_2=!CTzYZalo+Jq=Rd67n4T^htsDFHZ($==*I=^JuiS;oY0gyZg{4=2IY z^^UcP%EWqtM@O$HGW~B*97nsImU z*t}(UDGfS@@$!6lD3ImRqc5uolyO&!E|NUdfE50~hL$c5yuAg~m$XKDTyLJyD<1U{ zhPM;lef~rXHIo3pMWKIrN)d{?bAs@S9XN_*784CB#veytndym zWC6meI7tsNCw5aU&5kA}WcAegKFwo~AewGOkRscO8y)y{L~RBzhDJR44fH)+rAkkL zpKH?Wi99vxehQQzd`tM|I;4W*xq&|>X-LY?KT&?*&uu5(mApUFXnJYo@aH-qkYvx? zy2gK=kt<(M8J*Coi;;S)A~JPTtj+t#BkGa)hYdcws9;_>`&UE1n{($KiSD1Hq@A3& zmByQ5s6O%gULy$h3YBmEgjoTLK!$xx%42p``g{qO;iAkjVsS}2)A;NC%V=R$T~bh` z1Zp* z_vr>+UZU4_7|v@=%;G#i1|sR0u=yV7A33>^2D-rx88kfKgSRIC*$*PKGN@5Q8u3o95FF-4v=+T6*}5Yzxjx5u6U{U)Q)Bdv-e%MvsjYm zXGYG;wb5c{+a7>hSy6pYZ9~t+Qk#Q7*HJsT;(P#ivhRcL&RecQeAMF8g$d_t5uAw zeAlsNpzK-WwqIBR&KImeE=0dC-r;$rXmj7Ou&z^s?Jp0_y=>22P`qT7w%!>FWfRSD z_hA^Q!%Uti3mva0OyJ0LrmuLC1P&1#cQrlZwM?sw1XPDC2PdHAZ||CoBca5=XLyg2 z<$Yy%rEX^u<~~5QZy5t$#k2->>BAFZmTTcL?|Q9?su-aLnqtdoi(NiI>ko&TDe2yk z?5g32H)$?1PG%QoBi*B=M){pYI&!O8XleUQ!5r;j@lo_!nX?gD6TT&(+ zPsB+V@QKLCPF<%*&I>C?DgSyr)eJ#&(LlGC|96HDaTg=>ok`HS!@|v>b6hQYqaQ|E zJ@=TSORKsHbbpeBia4i*Y@2eox#w#D?LM|fHbmhk7vv+-ZGyeiS6~d)A@$Bm++{8v=Y;_zC-czkE7|gCe?;wjn*&)Urday?D#ag+F>wvF`LnN0l`1O zdpo`=Uu3_!s)|&q{Lc}oAC4@XnkpDkX)qAL--b^k0Y3|y7MCNfe<%Ji@*5vRgbk`s zuSljTyt~1+?N~WGI*rN z?##K_GSg^>eb7O{QNC(L=E&S>lKjCe33_qm^kNc@?`%i(JPlyo(DOlYd&}xrH_Ysf zwjvIVD)iR)t%vUj%j5vNs6u5OP$8sEsJ4&uingm-==!S7o@(f+P@Ou${)qyD>vb-j zG_QDnosg-|El8Co-}uG)8XV{DGk}DOno{D}hWw-6vW5mji9&1JgBRmWe_6r|6<@~3 z@;hvcGI`mH4Drh#WQwCf=qmI$0=!Mhw6w8CYJ|=?Pv#faz7lhei+e97(8T4Oie0tx zAqYIrJ~dlq6_}}ko{;LR<#E&<7bh8_bt?xgLwVC>v2QCGU$#b7q+>u>_|wrMVuYt} zXtr;Uy+p)zhiG+ujt?rNsnZC^5?cytHmR+YxWQNJOW1Rkk9QGN@FsEdhClCAB|-S-MD4@`sZ>;yP;2d?29(t z$#~^H^U*|HgQLs>ek@?K9u;^V;rtP#<+GbJFXq-y;VzF8es)POI=bo=_t@MDXmNBh z`qq|M98kH09Wc~^HbvKVbT#p^3ZsKI&}m{yYV(gF*{}NEKXX{ry%r>My3(^j%{D`M zlU4`wTE3Hoa?WC^ra`&ztMaCs%b=q02|#Kd9y8xzyjr!AGA!u$-l9y%9Aqu$mqPt) zomQ$CY!W?c$EoyW`)r_tMzLd7&Ptj1!5>wwZgLtq+|`GtdtW3MTlEUf_>6Z36Qd^Hxq z%GbOTSHMo_nNZaea;aE3>00Q+w5s(a|3dD`Tcf!yuNRfjLCZgzGGEpYXCYfUvS=0& zgP=m07Xg`dLj6`VX=3(^<(h2@zJzd{0Pu%!gJ*flTJ5|OFF$lxn7QW=9vfD)5GEn6 z+Qcae|C6pWvazZL^Y)EaonrNZEud2ynaVBg6pWHaJUWMKWIFuilleJg>}Q(|K9xH8 zjkwTvGNxO_DaF!!k_V_EE^kr%BStCJEU1H557CjmDDpt+F}MAQ&q2#?`6)E@C%EW} zDC3%+*ByTfRDLwef4K>t$~%}_mtM(PswKCH|_*RiTaV zvMX>C>TV}e-WRFG`exLCjr3nAL)=T>SCltKHD`IY?5YSl-kR9LN+x7PhHFQb9}Q3F zpGs_Q9h^7+*fH7b_vv@wvF2LB9Qi|z-sIqaCk=uIF69trR&|5R8Lv%*dVJ?aatdy* z=RY~m5?|A}Kbsr%87yatu(jKF%VQ(ad90W& zS`;XTQFXm2K!rSSU~G|MO7wx+riZXrn^ZLQ;T#lOJFYSj-TBJKf(j^8QPsE|#Pv^( zNfRW_nMyTofELphQXnEB{xDPHVxs^d<7zsssIu{_lIGD-bOD1x+zn8IK`T>lBKrK=mLI|)SmF#K}wllcdH z@#4a7)2F3$|8TuWNee;u&X>)w(=Ki&-}w8=Rr^Wl^aYk{cE@sRQ$-y2ilE)(qbEWu2zKyE303VCe0dBf3>@Arv-!0oI%ENrQ%X`@T#f z`y(uJk_ExLNXu+gTC<>t8E~_VXx?O%gK%wt2c(KO(l}|L(1VIF%q)>3`g4As>)VNj zk)mr(3u5fVt!JTX(y8;mKwsw1e` zAC1&poE3(a?5{z^T-h~+1aX(mAl+9qv7#Jj<-@PIkG2#?iaWGa=8zDC>2Xx~ zq(92$R*FdymnE?{EL7{3=IvaU>x%?=PNYm6x(}*{rqpRo&)565P%}?K!*BCCt0WMX znWsY^TuQ&?^>65Q`BYJW{#(nNLEU3hlk^YxCKIRb+TX9w5P0$&yR^S@h3F?9A;JTE&(Rrcb+EzxrHbQsP+!3!ce#&l#_?IFOPqg} zk`Rp9pXRepYu~BP&B!+)qs8*y#MU5_`oig;0+2l2)2;NOw1rrBUePG@ps6{zcX!mt z3@h8`^w0q{^k5jbKC5oRG7rfSp!Z}gXVIx@QR7wyIeZ9X?*J(W%3D&=i;{clU(^p*OdUP_jNiA+ zI&tV(nxOBBj_)NC$vA=z=oJcV%H4Yq8}WC&0?Bj%|<9uyOp?$`=_6vV)YB4ZZ*tzEif^%Rl3ODEXuat;!4;QQ}9O`Fr*7Rk|(k%NW^KX*;KRd&{@1ut)Q#l_Y#8pPi+D z9U9Mie4y6|C_c!6s#!7^hbi%K*dzhl9huCvrw))4^wQwnPB1Y}U;hV;a%@Xg7YVBT z`{9&@ba^hf&qgf(H^8kN61y??MRg4+;Mg!E^NbEau=*sRu5^u4O+rltP~GRi7_DAY z_=y0(wPRNwokyuT82)drB;=CFrHM<3(-WCT_6QbVms=%!Rzefs#=JQ`7YzKnzp1M8 zVDajSYyPLTOASOcIlnZYzOPVM(dYgQQBy=GrjZ{@bN@oTCGS(98dTmz4?0=80yD2c zW?$b{nlT>3J0EVC7iQOQp9Jy^GpWz(6Nr5V>V(inTGopAlKUEQu&L7%!MzZ84_+@6Y574m)y7_bn5&oj; ze=wn6?{nxo260V@h{hbT49Op5sxzD$3l%rq;(OzXx(^o>)>*j{K^E=X1vapI($r-B zIi#0ae$^wQI}PmD(G}0n-pDp0&w_M2K%w*`C2ug^7hDQURS?ze4d8cM6nf3+P*fy2 zbzUt{#9NfAqqKw(W&L{{)xcM|&_E;w z!pI++fKIcRXZea<0Ll&-{Ku1$!}>s{jnf_D0Vylju>rLPh@KbyS>E~Dc=dxHTYF#B z^gmH0?X3}BUr#Ur@fm17{ad9AVZQBa_=GbWTp<~;Viucq$g%t8%(B&^4#fFYiO39v zo-E;7bO?yrU(Z1iF^Mgv6&NT$lu@;U|i~{J+ah#ALsb z3VzTZq&DdN-Yj<(YdvWNwjed-4b`GGy2JNp*j4$$x$X+pU#=VfA->jp__Bee%mMN> zax1ngEi)TO`k5FDCX-7N;ti!A&foTCGa!pTfGJ7%&s^ai=c*E^8F4&SmCiT4lv$LK zo=)m6Wy+v64qw|#y`CdD9V2IiPd_=H;^GT%OyZY_=T~GvXza8j_NDw`+L{fy4fLi; z*wCxpiVZ@xArj@Aug#~GLE~i~50_lrgvacf*+)Ef>28ZHXiGrPeZ}1v>qGeIsqTiF zt9e=t&Lduow0(Nde>>jb7FFfNeilr1SZZ1D>E+};t%0(e%*OMY`sHgVpvhGTGELQF(W2; zN64Kc6hDNMdG*8_UbtbWkdZT{+y{|nBvY77lSSx^k0OSfpX6E)U@ZG7)|#Iz?Zwxb zTY5Birj|;Apu-DA)Cs3>R)Vn7cNS*FUeJCScAGcM=3wtE>5G3!6j1 z3kWJsTE>IT?^XWjtEPUX)_^>@%-UahF`;e-HsRPeVC)SrK0tY?fKz-dk0gK}4J^bI z$e~h11$(^mjRp1_C)Riq(ta);fxQ2?5+8nMKOTVh(^I!CM*k!nO88ZOk?1zdK>V+% zZIk8DZI=5$+PvuQP3QT?gC2)Ya#QTs0$KBYFOvj5VmKa?J}k8R8=51z2588>s>nh{ zdxOn0jQFinqArnwFvx56z(8qaAiYL;rsz0;!trH3O&oYg=X?N|FxIaBfiuObxP86<~cj=Mf znCFR@4?_DMdCQzB)5l__Y8F8m!WnhhyR{&}nY8meDdHqA?s0|lK2>eqxk#Fv2@)wP z`!pwm3EF>u%TF3VfxGVJTLfwqDbIN_mYC@kpd7scJyHX$p)=zR-Xv&Gv|UOzqB2eP zkoU#X>)g_OVzXY-Qjgh9{zrJ&a-vG+y6bZo>Gf8t7bj&a)0MuJy|6fV1}AhoCr9ym z+pfvnPjlT6 z2tko(L9pi>$Vo8${L`B7nN)bcTDhg7!iySBS<#sALdX6z)r@4H4B!D_?U9r$L1&r_ zxd>&?Pog{gXwAwrB`-Q_Hb`UGuIkR*laK;~1U%T30+eR7ph%w1jYSY@CZD;M?8?)e zeY_}WA|pjCN&BG7V@2N-lZrlmJer;l)Pl5QyUq$`8=WSn58Gv zqm=*AEL(A_K%Ac1#<`Y{t`5SP4a(~fTovMZFMTc;tcdyfh98<*%elSoy@h_UxvN8K zLv)M#{PeLZex~|or^>#Rbz~1d{bX&p&^Qfnukw0(+*7wOZg&)$F(tg2&fm!g&iJ>d2maSVXO=gZ z^jU^A1X*eUKnge3Uz9boi^H3Mei><~j_W6p+SgL*7_>5lU$>G7MuG%c!A$0gVBU|R zc3@@MW|D@vH8MYkDb8Gcj6wuTz@@AfA|6}vu>_(q-7$Pe@Abnfp5*?_W>#M+gs?NC zt)Wg9S=XhHc^2@Wz-8H6T(|$%^8PTOdXen3Fq6=F44uYQ&?&780Ef}hdXG+q9VtwC z)+&yNcOeV!I0p>0TE3VWp%HSv$y;InTAi)_FW9};U$QsMwRf7`7D^fYq9GONAT^xv z;{4An>SNd${(C^;>}$UKdk2SqK>%42AE+kK@I{S8FO5!mWONC@+Bd^VGyA)C)IMK0 zI7EmU&1pn@aw)h7^dBd8+&gT*>bktu*-NsGUK?S;u5Ioq;T7@8Hpm80qGy-EN>@L&}kOgRkqD zOrB9@bQVnIsvjoR`^B4CZ1NB;GU3I zh~x44DHWOctx$mc3Q(N#}Dc8L%7& zSx%=g#-DO6n8&}pf*VD1bIi92xh+w)kd%$>`-_iKsS@TG$=kI1#3N#>ilQ}3O z*u}|h`tv07`}x<$ffj=4IlU?54sqdj@e_<;au+UkAm7WV;<8;Rj(6=ek{qC~Xg*u8 zPBs1|D`=jka!LddNly*DE*(MTd%r1+L>okG9)obpPy2gAxU=});Q#J5fY1IkQ$6i4vAL0ZcJ8Xg-LVivqz_{3`{FKFlF=y{`yyL= z+$}-y^-{*P&P}9%;?D$`>V+)VJO^Op6=qBZptT+7yqrI(p8kgKQ?fUEGb2mq3GOA{ z`%)$#MP0Nxm_LcavVW@S5R?QMng0Op498OPS4T4?48e;Xo|&#%5VPQ_QbNsx7F*4b ziGWeQAp0`)Lfp~s9IxP4*$n(iJNN;YiuK38rHm-QvumJwOmMxcn_qV+14|fUNKc%+ zGhvfc%db&{(dfTd0IYMU)S<49KG<)lb_^0pXjQvg=h5id?2T%HOs+VbQ z{j2o*_Z7!Ak?UR>uDDB?zRLE`G>Th_F8=x=F#GV7{n39ve}B>ga4tG3S<;x_#-vVN z`U38wssHcpHAn5ep4)E{i>Sm*vqJ{F0-|R`t*dm42f#%Lo$n3KoO-n8g_=e(AD^C6 z;=;|0-i%M^k+p7t)LW=E2vv>!sL@RIOU(I{I49Z{|4g}A-jtrJlg~3fs32=xv$r-T zlZ+o{A&9H&T|W6S3hN+S{shRUa8jR_qk8BC7$@&(Ch(3D>GKewIWUOypvF+#=`Q%~ zdOLk?PL~6a+|56$2XxdZR;)C}345wV);`wp%TxrZlS`Gue7KT@H&vhe_@|zTaT0UT zLg{mp)c>be!)G9Q%ZeOOZ3WmkT?Z$gV!BP~bef4e=^tJZ^XSD# z;2ik}4KM=X3lEZEAu&ORAFA~9%#h`xG9>fxhId@c@eP7v6FRm`x72cl&e|Y$;)D0{ zdXb~7?XyddWKPG!_ea#5j~9BlMIZWf=iQs+{b#m^9x6{t#XQ_kmBXM^Zk)(^r10{` zsVmyqm6(en_N6(AJszFb%1iSSbFmX@BQP^G0V1N=lEM=;s}xTzE^iGI5Rr%(jCm=i z+d>AHIf%Q1<%8aLT7i_#y*?|Uscv$ea;|I+o9_@iEG$oTdZe%3{71}LrIC-{lHbmX zpfe&7S|G>9q#gn)i8LJhs=}POY5{Z z;gGtE_=@bUv-t9~Rs_4eLcb!210UUli5q;=rr!NCysUx?0c}pr(!MLkhL*NSej6v` zZhL|Dw~hk!wEa-qYZ4Q;SD`0u1Kb@6(?t?2WT5)D!$c3kT~N>LAKXj1)Ma4N`|`n= z{jio$vT&#RsGQa;+^BomummZDNV%1lu!2MHP=<{=&*gT<3r2=#x>waI-puz_O+mm# zD$A*NwkI=nTB#=wX}H3FEJm24%4L!v^F+bOkLJlpA7%j|m*0RM3_{~jt0-*2Yeon( z5&LARPyrFDD7mW1Rkt54mBu*Hy|rwlqddSp9yhIZ#jK3Acx5PxWzx^3u`UXs>{bU$ z*yeXNFs7~+O1&8q9pG-WY>|E^x>|iYK232dJ%`F6OTVe60Y_IT(Pn{)Ee&gXEH4SN z+5Ts|+Mu)SI<~o&)GClTJEpO!nsLe8f||Mnq8@oJQLD8<_!RH=8m}xG;ujoc53uf5 zSv%~n_55OtstuABAX|RHmf4&2M>)zPWe2|cT}@S&RNSYm4fE)F{MUnmbhB! zO5;Rv$5WE&u;2ZN{-GY|e2S)FvnZ$Umuf|Y_pqFRnc|>*py>(vs+5bdvgkQpx3Ic8 zch;nea%2zxL2FXy5Ys)|3|gSz?Ju@ud=;+wT|wn?cc6fn&jq?o*UzK~5*S^5v3_>$ zT3b%7h}+Di?_E~qLcrAnRb@&5gVn9Ob>FUf~)gEZ|-scE8`0hv?QI266t4ol|}9+&#T*q zS}A&3KsDP|6;B?46OD=JTWxD4&nHHd>Xa3%mlm)hf8ovne$USO?wAX1=QPIi;D%vT zgss_{*6Pp)9}=Pdq~vKimyC~cDu)I9Yi)!9Ia>YQn(4n@h!}@-r^p;<0B5#s)Mn$! zVtoZEN5hb&O4PZF+%FdCzQO_d*}?`b9HoMbBId0 zL84wV6CNQexVJMI-+0qb$4fbtO*aFUUa_Z(zH$Tbg=MN+<+J*%oB5-X3eQPn&^OOm zCpTlkQOmhnpnT9Fcc!qTTNp}(CjEZhDCNaZL46Z~zVn}a)DewWMN`jBH4AZWwVaWn zUt8_(N{5d*c4}W%T$210r0Rb!GM`w&ZvXxn2Yoj@7L=M_!DnMB*>u6HHpJv{|6O6t zN;gvGLBYIcjPKGZz}xF=w9|Omiv;uwVpWkS>XRpd)?JXN8UW~#aKqI^{d`dAh=qP3 zWQ#wJ{M?mf*YwEyt-;T=Cx6jM9Y9kJppoFW4=mLNR{hWuG*b-S9}3pC5X7OqEY!R! z@TXE9JmSUySE`N(URQB!v#esL8&2~xwTqSm)P>Ypvg?OnseQFO>SYtSkDm+g9)9Ck zy8YN~>&9>CTOztzjZa?jTWkLDxF@gCn%P0`mVBPnAeUdLc6=7(j9igY?YniP4#tye zkJD%dd(pu@uENRWoL8$^}RFMeN3Nr?GRguJNzZHf#?8Vximd z1)OJbuG=0Llr0DB5!L*v-4eHzr^|%xE)L8tC;BS#n;-=YQ}VfsoNqI2e?!|CMe zl26}~#E_)|p!lWP?2VbDI3Z+)=G)Vui=kMIu-m3%GFU~_=FS8fRDWBbF*aVZJQR|jmJ)a;{WI9zWs0A_6KQ;3fl9 zhI@x)#d0s)BQ?csX3ny*4k9SdaF5K~nrWeF*;X8>X}K!%RL7k*)jDOJKKb?W{Ri&* z{kVU5Kd$S3UC-;&=`ukRiu~j_jSc+NpyEP`G z(}9#NpFFW_9c3ypR3W3yoIU{<4@#Zfr+$&p{#KkjA$^8EVVZBrEC2LnYT+H&1__>kZUHIN$H3{_C=Xl{5*>CoUXY?Hc{zlLq0rEr;^-x8YwbGa7_q zvzp%G^5Gr1rkmY4snl3UoF_9yRk^Bw+US4LghUPuO4ceu|5(%-|} ztI*(e(R5J8IlBaeRID9X778Y)D#dy z3Q3n*H$h8GE~4;}rI0-{1aEbI+C+r+e6@jidi{J*E}<^sSVgP+~j}GdCM7 zxq~YgPuaTcd&8Cmp%g3uwP-{vNG)uU8>UI?76zO4GFGv&GrILAi^p<&GPh-|eTo_3 zQ&swCNis`FL8pseW6SJd(~(S_`;vh@i{IP$)or8Inz<9*keT1Fj~g*gz4pR%yIAC= zV_W(O_kptCTuf`k53%VNAye+QBMsR3PrMhCnAJH?{^&S{q%6HOAYK+IRHgD9Nd#-z zCzS#awp!qG;#q8g-x){ok4RKNk5qg+PjfB5T(_*%3={_8>ec|Ye{)svqZkOkPC^)C z%aB}QMlUln?9&auf#MuJ?|l7x3;x5^| zdi(8_qu=60DoMb#6dbFzId^}IjdDiYzftQ1(8ZUM!svK zWqc8xhGN5HY&h!^=ybB7oT-9yXmR?Y*{FUEQ2#eG_8T}h&RVje2y5#t*}_1Y0{*1A zomswe&^Wh>#89>c4?$g+Yrt--B!I5+(U!;bhY^LUfy+&{m^~M0Gb>#o#9--2ubKc` zc!=$*Pze2xf0>Ri(dV1s$l*bmhuCS4il5t0u2#6vowIMYag8G7bT$IaJhefo4*1)oZPEMGw<6ty{KZpQ&(qGgS}YmVBao%BE4a8uzwf+uxBL$^Gf zVpFfVptGGec!p>M@WB%(nl5Qcvk(I9nU51vC;JB9VY#dejj#IsrH5Z#=9tx;RgSUC z(&F`GerkNovz#Ty;x`8yH_yo0KMx}<=8_B9dXBVXVykmtJ9a228#-Q)dznljkXUKw zN}im(>}L5|<5ZM)_)LyUE!~0_;sfClY^y0jPeB*_jI}h}X&x!NTrLaXbz&jJw!$CR zU#zJ_F_!Bz*S3s#R-kNMxKRa>3efrO&ukB27gQ-|OX7+JUZSfmHQ;brj~Bc7v)&W# zqSg{jr6xwMRiVV%-@YyY+C3j*BzW$(-C9*swet{!@?cV{s^k*%Xa`A|J_^1CDjCV4 z)3Ec;F1+Bk*~(i&s19`;Ujfu89zd zJCIDNQEM3?Sx!bmq{`DY!Wy@#XYjz>n`Zg;)lR%lm!w%!>Cpmivie)?Hu25-m?ja1 zIQu%NyZZF3Rpt36;^m6CExWJx_uf)q>{Qm#`E2i)WruJ*Kf}GB>AyleYm|e*g$?Dq zd+q#o(wu>gFrACD2IUTStGt1iIV$VZ!1bYn0dHMA#v_Ws`j&m#sZzMHEIY%I z%v?E>t5(&5OdLHIo#nO?^wi61>|1gepZE7TR-Q+ZKNdT-(WmBb?K5CZF03>zq_4|G zjmckqj9$Cc_t3rtP_+#zarB^pYG!q-ols+wFEy!^UQei>=sp6;&}g8Vp0fog+ocMp z4^o+j_USVvPqqQ8YbvDlH+CeCWh#u0+N1XfW>=B^l3@cCgp@u5%{247{+iEUIH1A1 za@g_nddxHJ6NBnmhaP{$rei_b{Od#H|2>T_hZ)L$qbH~oOKr+2RyU!aH}vM=0LQkzAitPa0q4glxg9rQ@kG#pw^@-vSw-W^lXVKIy*N_;`6 zz;-%vqJirsbG(H?SzhQ7))H(PNv$$*^F9R42~4TA^Zlz@Yv7X}#1EEp{}#84UJLZ4 za~lJTE?5~u+Ph2wjfX7RcJV$LjYqu?>-x8vp)h3P^%?S&Ev_NJw_h6m0CBFE?LDe~ z<=5CTXpSgU-l}bIXZwGb6HDCON9iOXUAg=tJAOcEl7_s0RiG#~NExKR2P!z;yv?H< zVIoci%}5@tA@cTUmNn@m7U25!T>i)of&(O?bD?@{_sKqe$iF%@Wri4&2i6%s$NLVLa%dHZq~fMFpP7>~mDvP5QYnFU&p5qF&>iD)az!o}kM} z@DEU4xaRT`(g%O({y38HVyfzy52er=UGj6*-l%3%f4Qj^kY({*$uwGeH2InYA2^%E zzzh# zMv9Oh1J!j_h9Z~2v9^rQrRhYLnYGWPVEc)w)pFHXOTf3@{miXfzSnKSw#GxpWaX}= zd3MSg3HBHP@{Sn{{z35jx_g(x#O7blF3Y-fv;K+}D6AgHye7!<0N}Qp$**e^|NPMQ zmyD?ds-Kw#`S=B-j2|{o|Cn!q{gFQ!YZ^Px#jXLRohDm7aF=eLV@35mn&|u7;AYSz zp<>%_qy(R?f$Bf?zPb5wGar<~(VKurY#AP4(lU*CVwozc!N9eU_TLtlrC<<11>_mM zv%f{UUFkVK05eSB%_C2ytFwS@PzPm|BsHgeu{AEcvjk|^^>@dbaLOmq4mo3q%y*UFMoG@@!Y|(#EjcY zDX!mQJ&8Ye>(^C3qvib4!Hpio zo#HzxUDbM4iq2X1`pV>h!vG(vHREdJoJ8p`Zse3)KTe_?S_;jcI~ZPlHZ>-!vBX>l z7GjwbHBD${&$a{?p(T&zRUbaz*;d@E)~*{JBY>MYdhV)xf<2V~n^xAs)G z+Hg>5Jw433h3MjSI7?AZp*7MaH17h=Nm=%JqVxTPrJ=%0jun2rwmiUG zUu^HuzVPcROrTpyQaocm*OGUreIoo>jxEfp(y5_Ot5VZYN1BKWJZlFDU{7V`+v|ii zDhIT|vf-v7ERBo?(WcYYhycar>d-up-v=vCyWYU{zv9-7L&ih}j38GfpC>td}HngK$?4=S>a$H|$=P_Y#axEJ}vp=_RQ_1|RW7n~| zJ}c#!pz?Gxhp~}eUNk1FKhJ4SZbdcRbf!=Ux6&Qb*DFDd-Puj^>EHDt{2GNpUPzv_ z{9@m;-Afyj+0%9d+oMd~`Hd1$|1AG^F%;k#F220Aamgj@&)sXG*@s`;yF<@^*e9%j znhwagFY@$bpI<3y%`Unka^+O6{(i0nRaFod!1tbpew9-8>wSrg8V$C=&}J3Fi%``m zO<9Dqq74@^;JDNQ)VWW3K^A4y4A^*GfmBI+kYB5E%GpmPAit0rN%inn$o;n3HBtsb zK)UOG_wcnRw!9n5S@|k4r3hv@-89Qu=&5{uhfIv0n3CdGCB<82Al4x?rS6I4Z}C^$ z23OZEc{w`XIZ5f{j&|?gU+_Y`6)S~yqr?w*H`|ElDa?vA2p-yA|6*97%Wnp?2}Jab?$bwf(?ik_s)z6 zY*kM+3kKLuR&0BgBfp7#---gPC?%lkZnb~RQW@JAUo56SXvIpZyu=RbpPodH1rgBP zjWN`!4KDy2qGU(P`x7_$%;@MKinB19#_Mw>D#S(&#Q4lXG#8~RpM(E+(J)BeJojdm(GY&frVec}s zkdCxNl;eY%_apFq+f7dDs`(SyVVLD0n7RVfYr3UYKBf(*aBl*tGxY-JT&#gMC}&VC zmyY=ROR6V9r0%VXvgnp+aK+bxbA;ux#pIddLoI5ctVC-!pCQ8S+&5kDCY+oZz-CZX zQ`#Bonn`WOqsW0*mH~>E-MA`$KYm1EoMic0OR0r#K;%i^+}h%L%;Lt%Rmvc=oAs>9 z^Hnj+r?yGXxxpf(Q`p}##f&j*bbsq66Hkc5%=a?L!M)a~t>S_s9fshPsG`r5_`DWe zzsF*aqvj5M@@Xp9PVt*8e_c1d!ZUJJDRKMQ-u|@5r{$6qwNuhl-50=#jZQd(sq-<~ z%%v4wp69~v&}4J(y`pXOVNG5B(5Smnwk!9xDjR&N$3*aF7~S+I>)Gh3l<82%{tVJM z{51Wp`ff^5L-A+EYuFUQ4x|T;{WWnz)OXMk@X3m>#oJ)Jrh6(&s(d6_A1!v}YjGB( zVrTs*{+%)wy+KL|pf~qkljK4@((bg^3|t|E*7~%i45DkFpF~JsY&6`1zMA}LiA`;e zg@rpMa5Kr3wh=k@KCJ3c>$Jav3RtV2thQ)wL~=)t>C!;y^-C*`u_O1jFuq3%giZN1 zRy$7fUeT#EU#_>@KHNqpou1n3aT%|JkBtTZ@_XjeK~y zpS@}r4if*H>0TOq?C>+QN^oHr>{xc@p8?aRzZAvhZBc!&I_y6VEm$~FxXW5SnO(w{ zasRxLW17y2y8nH3zzed@9S>PR2FlV&axON5UUzR{aC42HmuH%z*W@>fcwQ4A2eoccda;5klCV4E+v$GvWOQ{ z@Yhl;3D&Uxet{@a**M5;=RQ&{*3f>zT}F5y^^ljqYR(oB^bsL{_`mNzw*R8+1IY{e zB`Ry>ltSrO*vE8hbN`l1d(l+0`O>S+RyJN}Lb;N4KQX$On47MmeM6bGW1uRo1;o@j zx7EOg(jXt%3eF*@APKWkTpWh3{%g?y|B*Q`vO1dvi^JyyapvZ+sMkU8x`p#~0B~nE zn!~`QEbZU*+c2XdF}bSzSsh6ChQzqV{rsQRy9O0Nfxeq9l|h$oXt6lxD&dzGBZe=s zV7s(cY!*u0iI~KOma@lZ(}^j0x&>Z81>n$$7-4WOf?#jD_(a$Yv!to`EKKdH zV#`5NReeex63VPNl)nMywS*Fgrj*OT{aNWru`A`cWzDd3KPt!4S{} zP^q!;=j8IkK6IBn*;h;Pbpg^m!la=`6jI@Z5-MvF6wLeD13YhiTMfX++7}IYkgjIB5O;QWjuHUI z78dAAc8@NoDu-PL7biFEAi9vfq*PNq6cm%1;cynrUIS4`FZkC0}c zlEbe`-$2M1pyvlainr(5$opfn-Keq7n!(NkX3sP5%YDrQH$eVt?qr(E&`r!|YsI%# zC}RdDn}Pqn(@+l)-v+s;XX{d0sH#ovfwHzzF$+?feAu@*zn0G;#POxGtV227`03Td zWs-O-S7RXbxctO#p!Rf4c4 zaq^ZH;nez(N6S#wg4BgRy%S%M?hL!DV@OLQl;tMKJQ&jwEK}yqp(S73(pa9d-vx|0yiotNHQJy5lx>zx6)u&r=#z zkiKK$pw+s*2{*Uz8_imsD~4{~7{5%dpRqkpyS2i|l#jDW>SY7n4%XW-8J`^$EJ z?RwI`p!(~b`BSIOoacYMZ&dOSm59E|Lc?=2ys?$GIKRmc+o2k4DIk?}FxQ;Zzq7=i z3DGnzywfspPRxe!jQX83EUCH+u`m_iq2Jbt&EMN;b@2!P*ruVnBhC^|kl+Tov3o;; zmR6U)grc9a2O>b}hS9xyR6^M=LSV1!4+$Ql*i=Md?@KBU8q|wi4pKmTQZ=616Q6S^ z%+SFRAbXp;w=Njv*UM?`Q_`-WM4;9l`qo=^jrHIROHi$)a?Yn_e_wRjoWd;Kifukb)dPQ@}BJgyS->vnCT|J zY~X*I0W)a`GaB5q&)l5$!?+K#Dxu`{LNu1g2L}1?e`)+)|PSCC zHpu9qTGMC?SGNyA-lt(DzYLSue#;P**F>QL`Q#$mba`jw)IJS2YOpcsTdAnco2#^f zJ{d2x)~hBq=HO)gb!1+~z&$BFwrTL;6Ca}6{0x7p%mvf?RxbRuLD>^uCDgg|u;|0- z)u6QX>ahTiB^Iv_Q&Swcy`|t6Maj#)MeQP@M{kMO_Dg!eH3u78oI#^}A{xL$TsYe^ks@-IC>G48j z9e!a!wXlr?Z&ec05TXx6h_zGn$0c^H@~s`1`*{bfR8Xq_H>aCFxuRm#)^G)CU#TG@ zKUu|)z!Dk453_DEWZQ&DOz;6WFYmMm-1)LSf)Ip z+4Vnb@nNe@ezs!Mw_=w|@uo+ntAcGqbahp@Yc+dg)k6o1Zvj{Cwxe?--F9~p8NYNt zed<5)y03f=xw6-t9IQUDs9{djtk_9Ys7o_zSb(-r6<^dU1@#gPHF7IT`1cMfD2dUK zw5%{88f=6*%2^-7LPu$&mUq*YQC0)9l~pQd5FOhJL{mw4Q3=TtnpE?Qq> zB@CbxSPPi>U$?9fH4ITJ4Dm>smXF3_M~DRPcPd-g@CtM+=Qy-S>$?C8Sg@*lavM;G zLv#6PlH_Hdgk;}$-zV*kV*3Am`}oJ>1?cdg$Yu#zD4{hyHhK~NlEWA}&$uH?1QlX2 z<_l87g~%#C?PYR68FeurXOqQ&tDn}v0^QGsI9)gny`BaM`nf%M-gGW&d+@!2_6BR) z2K7B+C(0LYzEd0MRimUimz19qGzP)WLqk1tJ$c%*5VHG=2Aqk@*x7;ixEmz`FE6Zb zM_rzqmc5pC2}Gr^P~l7m*1BP+O>59=uIqeTN!yITZKOOmsIUlH6m>YwxX-RD{A!)e z@hyyBBCEaNJoQ5EtKCIZf@*?k!wXggnZCQMD$RQkOZW0rKD+CkBAu&?uLttivUKKr zFzo~E7oM+toS#+qM8&h88tg8q`{riT3^UfgtK6A8n_k(e{EXeZ1j=^y;f44HNH*p; z8wFged$6@){i1tpkbOjB1)|pdca!7!oLU)QxdXVN5qeY3400*SQZGilzdgL;S(0n* z7Sp|J$BFp5Dn+UuAnWgPszBR%*HjI?hsQ~J?w;oBiq{CSQ@i*#Xhoe!YlM25?o5Ju z97rq6HdYo5>z$yzMw-i>s0)4lFyCb@+?Y-ab_qhvM@yEU`v|Rd;5OJQOX?U+^g)S0 z<_}rRnbfZclO~?0tUV&W&LLHjfU`x~4R0|`AKgccqwJW|REl9QR!%?RJ~phNXMT!9 zF!+tnQ;Tn-`cUq%c5^<#wh$LNqeyEnpV^>(7Rvt)y1-Jw7soaCV%5E~!JqNq+PHhL z`Bq-zX7$9a;f4skZge-=eR@XIgFIbqT-;c?nl$5fa-|sMq)}pM1?^5@+U+)mgN}lp{TJ))fN%x5YHfAV^2itRtfY+-y5_;BS&Qr}tw$4+ z%%le0$5r+`T~}w)JqU8Q9Xi0u^=bZT!=un4btBNLuM4vX_po1cquMNseA^#C41t+7 zU=!tt4Q=ebuxFG`5OH$z+OPqrxcNh}K;- zx6PmOAiU$$s3zss37x(#s(_j|EH5Sf?EcSgTl^Ma{iG02sm!r1}*$wDte9O`J-UGcEV9Q)arsiED0{)eSC-1;9lgn54eoA^3(ogH+cn=5j%^yXT_DUw0ed zTN>~2@YK>G*W~<^2s>Db)lw;0EdIjblCMy{RvhxR-;6`Hx~)uU7N@8mEw5F07#D_% z@oUtCZ`DA%!qiRTv$yeuz^%!sOBwI&D|bq%QWm|>>=tI1G0Pm;m@cLhA{vNOpW4=2kcZ4{cERDm}E!<=&C*d-^djO~lYf`coI$(x{BBzr}*^l0CP98o>I?xuxKjt`z zfZ!Y&<2o^ip5StndVA$cC!DozGwhUkj|DG<&nShWY{YK8k%XY09Fm9mYT_KB9QHVU zldDC(Zr=lWtWY1^fLB{I{j4#86d7Fghp!f@AgMy4JWD}u+@j;3psN{*9Gr(rnx)2J1Bm~rj}fn~(d`gR zK`!Xi!MU1D?jfUDAq6Rdg;0_e>I;sic@=Am3Z z(Zh(Rh%7;F%g*(&e6O4JXL`(Qp)3D7Rt8@UQx7$ZXZ0N#_7Up`B37K*Bo$l`-cD*! z4R@2xQR{0~VKTU-s$0DWY6U}3WBE+N18iiNQF}NHU;D9fC3q}KjY-#2@~dpUn>u>J z##}5vJIFQ=IeXZAW411BHn>%=xd$`w#Zk7{J5NBPraZlvYRp&i3&&)eHBe8;7+*3m6lTrLB?-GyWXV{^1pr|->th1FFe($(h6 zuX!RfFreCZ%-A|5*GPbVASWbVz)*T=SQpjGl6^7@ehXt|Na+5S@fFm2nYFq){1a;K zeZqPNqV(VFDP5ySI@Tkxo#pwX_zoHT5i`)zPeTQ~(ab(qxXK4RHnJ*X#L3V6&86au zqCl(+UU#7@uwV9|_!h7Cg)YF+k&8&zlxcpELm`o#rpq8RRF_@p9HG!S=<1O$-nFa2 z_P!*fww$$0e?jt+O7ZXMSCr5?sl;KT>}niWQ9=?fmiU0e_B@L#2ZT2c>d2a9DoO(q zF4c!WX9RXOyRHfV}KVxrPJcY7fnLFM4Ir)A16nW9!`|k5k=_hV{ zu)Jn^@T{7_z38ISx`>G)Sj`01BthZVk#Poyr1H>SYmmcjtn5@2 zicPplKQz3>_GsAuZ(({%93>M4f6sxPP1FqUJ!Q>>$%){4HAXi$o??W3oCr9Dh?H%N zO+ZA}3Zt@#>6bGQv5SZaR8TnMOe#G98;ne$J3OtI>oJxmBV-H#$enI$RDCA7ypH_j z+wqp>vlk&wj%g_80?Vt`=bqIE{N0HBho>6>V3?PuGmBM5CnS3`wY%d2i1Enb2$IQ^ zq?D(uLr?^v1@6Z6>6y^%oKW`eQ>wm+&^0482=_JO_Hq$?g>aul5wQIKC93#d*Cr!^ z`VjHfNXzc>RA)t?lV9PFw+!0Y=BD&xHQ4=?oLFw6T@OdgddtI@VS|g4 zv!4lZPL?|uDH}t9FBYDvsY$U1J^iauxPXvzQAjnll{Tl~e@<%5 zBMHo#ppWzCoF2o!dYq6g@~f3sYmFO0zD!C9^R5ga>|nI%AOd;9FY&`HbqL;y>H%v(^0_g zZ3Ma5fn7uT+?CK@F~mNSkbG_^bFu~)&yiUSa6Fnt8AD_ zbYUL`j@#q8k*cC1S2?dqm)7##0=fk4+mU9Qtspd$QITl`%~Klsj$!sc3kv?*lt~aC z%TA~03EiLJ<MYryb)yS9>Xv0e`doj@ze#mV~%!c#1&4iLl0a1FP96!vSb? zZ`A5ms^pp27i7rFMB2R#jw>*dD}pVseFPy#CaF@B9GTd-(}@#BYcFJUB&6dJ8F}b> zi#syz?zTv7QUya%`(Jxx+Tn0UbbHVNY+6idGZBLWrW->!voK+h!as(NrbdtfzTo8M zK}O&4Bn!DGy`ZCWjn4)egGS3}H2-N&?NLH$rj;G0_|*Xg96R$O1g3|O3`|JxhfW%F2wIiREbEgz804|B?4-* zF2!yDKh=QC5-mWk^@YN`(5}3ec`0$P>nBd3d%eUJ_sTdr1e8u4?)8i=&Y7yI_Cm_t z6YgsOz;ZnHTTNMcTBW_Rz#1pYmD=ymNT*!tjWpb#JWa5ppSB}5+d6CRU!sB}6LJ%< za_y+9{=Q_bt}cM*LKa_50LBl zh$CC;{8PKHD|B(eOJ@S~Y3}$H~q#ZHf-^?m%YS(9xvMzzr+8F!|b#hPf9z(wopK)j>#nt!2pu;=~5gD~M!P zrx;^`FjYF= z@CM&wC~-}}3|RG{$nAr>?Becaft6Xpg4%*~ChIL$ZW+@##evKD#i39o2kg!Vn$%Kn zMmAdC%=G*Yt(u_$x+t%oX_g@u<$G!4A861M9Cs7|-?1n6KBTgmTg}}z<6?AEWVuZ|KZ}3>qVT=*7dmio7N8Ib0+OBat zFX3iyed)*qDf&#~!<&t*?*zjNF}k`J6n=>yWfrq>F>sdAx86V`wS$E1%r3hF4;1T zGqzWr9Q0K_n&NX5c*I9fKefJ1JE4A8MmjMBotZa?rwbH<)$}&y$T@*dM$e8p96w8k zhNz&1JpB7L&RRI2pUjkPe?+OYJ$stmm;(toUQud_^WVA6b2`&0f3+_4L${)}UXF&F ziBtmCnQ5~k0yznF{u0Y>%tK~^i2MYFQX1rvQQ!lB$Ux|l`VQPOq4K*$X2J2$0X)P) z5~lwx#d}lENdgkvX1sy`HXc+bvJcg`YM^?@87DZ$3exh8yHIW_yA0ITWWQW#*QOGKY<^7Bm$t#IE!5uY_4utKT#9=oM!=7!V9Q25 zI$4ZY!O#zJFNQ3obyGB%;)uj~@P``c$f(E8MW)me-+L8VGLwr>{LerDJUEAt`Fkt+ zOmy#loq(5m{#u4Nh1A}6uhBU@rSDRoUgDk&@{7Uf#*}s*pZs6x1n=gRr(M>q#P(j< z#YBa3lb{EY=Gvxe7J|eN@o^iQ^VS2fe`-k8*qkGJB;z{dFUjoBI1mF9a?aaslBFtH z5#i4G=Ls^zAWm+B#cJG+-kLWY+?4pWrT)>-Y|J9!R`5*IJZ(88AJppRS)<`PyKnm| z0$El&Kc%K@2U>f1$0LCvhfs&GMa#ZZ2H3D)jn*+FEBgfZ;&3?Dq+M@fP)7(w?$Pp| z$~Wk({X~+R#rf_nI>xGly5QwXW{h^qgJ^qIletuoo1AM1F1@o&hQxxaDic<3@xViUBX-5HhnhU&`7O)Jr>YKT@XBzLsw6c9kGp5 zd`p~e`K{!m1l*pazOZ+NinjG1_5{LX;>OQ!;V5S?Y5oOazC@GuDpH9Gt}JTBbT3*+ zDF=iV;G!tRCk-7&BYBw1j+9cBgh*HlJ)A zF=7(XFc9FdwVYMMx_8R;m4f|?0b(Z|`s-i3-(bRuSNmMIJ>t4|tY6O=T%>nl$)c3Hp=|vte^6^Z2tPQ?@dZv<9uXxQ<_xd6B$ni#}qm6ze zU@e`JTsz~gZhMbPH?f`;WUh_X>QTqMY9BLQs_Jok;vcu;&2~XzkP(|Ot*Ybv(PwMv zaXz{JgqqLi@CQ3*$t5+RT8bv&qZG3S_cov02nS55j4Ql?60jIq-*V#Ucaxa0fm`p> z@|;WV9kMLAH3y3Bn7&K@pI9p7X_LhbXNYQG<18|urdlr3+wsK#f4c!(k(2G){b#CM zDzt}$9-m%p%m=%Nx5CWnKimK8*SfQeZV{tnzFn)sdWoR*`@a&64=)W@Fx|6!PQCGV6g7ua05SZEWW=`{mq&d+;Khy zO0qC5SmJB0Y-_1{EDJTPqvHCk8ji8n?ed}TM9ZMyAi-*urW>AJ!WxptgJUWUtyE$@ z=HS52JLpQ6s(8!dHK<3Z9UW193dyUB7ied~v_}Dhnpav98SrAk?#gnqRo(D2urujm zwx{8*mS!ctOBc~NTO1$mylmQCZf4gzin8?s~JpiEbSc8y=1L-yeK}$+yD4gE&Y?{pM!hUD@oR6uInkQDu2^^ z0EfN};LP46`J$SujtlQRL!BT^W~kWstoLPqFORAViuryG59SvJt%E*b0^en^U-L3A zCk&`0*C+?Bh2=-KY`B+dU02Oh4fCOSV_1>L-(US7#Da3ftE2P%Wp2^&n^d|ZR0MU| zv0P7^mk#M!%~GNi+fB1_jo&N5UFAXbn!kQq6%k*v7786aW|<>OfwIkj`kLYofM>I-in3o@1ZfId1aXnM}#qJmdrDfs{3}d@gVg)6J zY#*oK&jY?zr5X(5CH~WT`39G)P-rR!KLq8&PNU51@|9dt(z2P1Gj)Iohp{y~WmUv- zWkBiar~a)k)7aB2<4`HVnJ!)Mk8q2c|3fl&*&pkzZ%$+*ro#S@Nhg@5Xt??g;xbqzZv5 z(KYE;ADR%|{6iF0Y8Y}Yv}`uM z$}tiYTnV$5cpCjm`|{7f-yXgHZ^aJZI*8FGM(W=ZW=sqP?D3(eQff0SEbsx>YI@CV z`_#@ja*@C7eH2>yWMf!Q8(b}viPeUgig#-dB#>;Lu1RFa7c-QqIMQUw_iWfW&bp(2 z=vhW2HtA40djG5x$xWf;e_iWYfU}F^v!FZNg5HS77S5=%h%SPNi@O^MA?YLY;>KtP z3=!5EE7;uIC+K?@1nKgxTe!aE^#DT-fbWC9jN0kJ!ClJ-u_pl1y{$E>+7e(~mZq$~ z>3Za`dSMPdp&>G5058AkULLsxdVRv)-Tle1wy*;mM%7OU7Qieio0SR5lJ+)5j2i8_ z!uc@8B+}2}+L%OjgN*g-lRdL!BM&?*Nb{xvWYmmDl@4Ixpez(mAlxl)tP;<-?1F*t zW$5>hIr@+8Jc)Q1rSths^tt~~SAI?umIupQ>lMZS^WWMX-EG&V3zMCWKTPZOHXk%9 zF8}8knCh7Y0B7#)Dp0yR*I_(YoNbX52lA*6E<8R9R11Q;>|KI3FYcIiyhYy|e8J9xY> zMuDst(`tUH?pcFu*OJisNb8C-X{rZWb{_=R%VKE1tpV;g#a@3Z0YtQRaJ}PR$-ytd z9nKYGDcoO>doBMJ6As278`Q-dWX`d3%I-# z7VgX&K*hRoAun&D2GG(o;D_bx)lSi;qSQayZ`c%?k|NQk{aSB@u%wyuQVGXG3RSUrW^+&7Ei39Vv2KlEDp_^2y#4(z9t@tBj+P?V zl6(R0pDQaQE*Ua*R`QUrP|*SC%~Y+@0n>cXi3V`KzbZ$zu@29=>j0~p zajEIGe(sqc@9&1G^tpUzRfD7Wh-?N>C2LB=@Vy-ApktF6{##<52fw9EB46d)eN<68 zBKq-QtL;k2>-{dj_GkPfti96xqEl}?*G2!;R@48^VE=2&asi|U9 zRlY&e5W!OKRb+%F{DP3YH|Gw~sNh@?#H}b_zaxLwoLWFwuv*$ZQ_>X6(-nI`5ma4D z4?HF1V!;+DrUmdsByNI(=N%~yhZR04R+R*kyb^-6&{7+xZ!q#I#w?l%N#Y#-Dx)ZKLy^@n*D z6aA=iq>{WTa|%Q}qpL;MaS-vy6@}W+%d`$`$h@T!mG3#h$F~B!L<6pVa=EC?0A=a= z0!d~HzyrefELZhpT)uin-^dO)rzSmz%KV@W2Gm@Q?Wy?_=Qng?gRt9kt_NA3)M-sK)mFc18{2xW<;g{t4_i?5Iq9KA4J-Bh> z49hxz3uicU2e{45oy`LZ3a;Ec!#&bcv(mD1ugqMPnRRevHh;G5oH{-{f5Uy{@~;2XUY7Ant$0@sq{*O)SiAf>`w!HIc#0#Pfory6+L-q7#!9L zl8pfcqqqv9k!u353p>L~nMdj2M)B2gxzHFquZR!P$N~I^hp7)Jofydm3{CA3sCpv@ z(off133Q0zPl>^2ZfO)#74s2gEm9vuGYS*LzY+mRzkYp0UFnYNBxHX)*yuYP*ir@`a1p2FB2j{M`?1R)m40+pqZbT%qL?%!g~w)lA4%U3urUz(xe8ajYk~h3}_b zDxfwaT$@1POWDl6DuaW)(EcH=xz-*3ijn)83nZW>+)4vr z$}V$>&PHNrVZ=-Uj28xm>XR>#35Dc7nEvh}8Pyp{2lJj04)_(YAUuyXi0|A*on^$; z`1(D?wl2Ue=PoJE+P#an|A=t`3|Ldlqlh3i@sz;YN!lZZR7}V^7nb?)9S0c%N{z~cKj-mnI2~V$ z($b1-Rz}_yWcsirCrzIOcjY;IN@7e8;wzwx_zYcP#;J-qF`9N?%#=^7bvW59U2%_J z-KM0OJbY!az2ksK-P8d?7D;~&(q&+H4QFnX0cQ9Cl_=0civ_|Y1Seb6eVwO#3EE@0 zK(e@_aXy2Rosj~QEQ{iFxEi>n0m;AltbddT{wW$Orv2_f9sbEb2Fr@yN%xZL%%cLg z{Cy)W+fjWIvj@?34D_Qafsd`~l6A2eXJ+L&58_t~E`&TKXS&z$eHda4?vR;YNiZ>! z(yb?EZayx6#L^#nDOtzj_alOxP&cwq&LK`FN!@|nI?VgjCxXpgdy4{jmWCUH(>u@-+wH*nSH63Q&FCqZH#uPfPq5BBOT3D%hL zW%p8~VmUwY|rodJ+&sKqWhh%f`S`9RLa>Qh+Tb?vp1zp-|fNL{t28J~ceQtXp zE68KZn7|}ykj0}&uLi1uJFVQSo=qoa3_QbWv|6l~6&EYouc(aq@F7z;$-M06CH3kN zQgW!myyJL~8wGAB$fI_zJ!AKYS+%TKzNbL$2Seg~u+sv5@0h>3)UjyZohaUEK-sBw zd7XI4FUk|qewnXE@BdT(_{VAFC_Bh%>sDmpA2a7?zZ}fz-M#-GGyQxblJNq0qIE9u zSzo@Uo>@}{!!V0J4>b+vqxyuAJKX#jp1Nmd8!6AzKRvhrdbx{HCWi_S=L1m4fvdP{i-djmg0;WW~v7x&1(odneL$Eshx>lzE+Ib)GW8ge-bN zrW(-jp!q@)vEz?1UN)Q4VVZt8kW+DJMD4f1kb&s_!8@Q-iECO5E`FR}CHdAl;NOr- zrfZ|_Z(b<=ETYdovWd}ZAVY$7(#HeF@~W*oqp~2HdpwkAREv(*eNppNu5;9*CN7UD zK8-ZS*mIWv-!#d`t-^;I4nent#t2#UF6l7BRa%-of6>^B%-O8Fr`QUF0;+s>AmFuo zeih;O^LQHtk_No@X?(x$rB5tW{({Ezsq4SdO z!GFX396n1|J<^djL`2AXN*o|aHpogOvG+3eBN^5;LvlNJwI(5vFq@I=jF7ZySAKPl zr6`cVh*yIGT0duHt=-(4krF$oYbEM8KoDerT%C7=huFd^MP+0GlLp3gU%J3 zpj(2revR*bzV%JEEFK{*8n||o0E9*DQ!vPa5F{P_io>9m65a|cfGZJZC5oc;?_CJ! zpoIHiUY-WeXBVm)-gp_1T`k;`Vftmgxxk5Tx)gSBtDqu7IS}@N}*0MV^xAgvt-5?$7)XdYtLxR&l*2|ZulaO6rLrF@eKRd%UE&Q4n{Q$Cq z6rXYNe6_jxa4G^{!z8fs}1Nrx6i8rpjQRx+CD7#8Ug$J`S+UjIU*_|3j9I+{&6R% z5md~B^FgwXZ|k0%`f0WoV|8;i-fp6`Y=0QDB_J9(wXOE`3glzxxMFKvWK?>=@nUG@ zy0cY#rXrSMAnChHNZiQ&k(RYsG5C|u)tcjWnOX|$3@$yq;zl!##^cH}IOJILWrkko zjIB3W!f97Y_$ko6kMlaA7+_scgY)Qk8;e_QKX7^dN|IT`64ZOwtUNe;@c0Q$A5JnG zNFiXX{eZ`Ipf+DLZzWW_wr2XLWw;zM-@owHvBQn z0jj}z(}T-tz(esx1@X!kNdib$9wZS~%8BxiFEnmC=XJ&2-K=Cx_WNjIqqFVz5a>)O3i`xs*s(l%ZML@wlz|v#+CGh zEAe~!EkBNL{9HeEAu@EA`S!fmY=l#8QsaMbvhGi`{&@dq?tZn|F(~OSto*o9=K9Yu z!K3h2fU*~#%_V7wz_Q_r#DOSic_s?erSO--KL1u_>$EEaF{dr3ub2o53ums&?@rDE zVL{bm0aV6uoLSoPJ=1@mX!@Ean0D#4va+l6ytKserxmB6rJ%MV@BMs+e@E8LncU6E z4yR)M+qJX|Q_0L;l0!t>PWWi~^~)zc`+xFs5$)CMin$Y~>V#1@YM}O&^PmZQ(bK-}D zFkmtyUVr>eWnbb`d0oNx%_&xb_q4$FyU@?nYm8-+F@dNyi!qJyt|U^lT#m@--pIzf z)DAf5wJ{C8zkh~K5GEVVr`#3T7?kL{F^f9v^jwLid29$`k_&M)T!hOZQ+x2-eLCBW z3~6J{A)dTGe~k@CDB}69Tt9>WsPDIChHy7`Gt(<8n#n2kWAbcjyQqJt`p_3M%%Rpg-qtraJ4sJJuunwz}B1~@AyTZM^doEiQPkxy-e;Nh%w(G(l zxS;i1#Pw0;6wXAe+r^@9#&kj_u_IAh_bzk8$*=>XX=m!g&~$QGrkBWCy15R{G^`6w zc{&?h8bvk}hZ<*Gr3X=p#@8A@J6Il4N@(}fw^Mf`yn<=CNj(l)e_-gr0Qq>o0es0c z4@pRIxyJbYbCG=Ivq7%w5XX?X3AKZCN|Hm~GPyP?j>Et{9#+cS2AS ztjWIf88#*FB{g#mWGZIZsu8>R1*|7OnJZO4DdOpA5G*;G*#wQb|4PlImvD#^tjA3y zbb*!cSCp6OjyJ`#@HU;2rK^#)z%^T*8`9GI_J-=X?}n>W6Smuef(SiJHIxbM5oydE zh!dUGMM`gL=Z2Jde;GGy8~7<7dk6M;_}G1|guL4|U7%LI8rr6*K@nrbv_ZAW2K}M7 z=IfkO?@4`g)%3}_qojoa(1dk)>tM-|Hixxwso(dy1V;L;@lz@efW7NfT;(Xo$|jQ;pe_sHw8)mLe=()tHn^a6e@Wc8+#Y0QW5em?=$k75>5ZzS=QoJ@AS4Ku0aCKDL zsSsFLiT79ZJRn!a82k{SljAT!^kpId9mckVhgwSLOK{mM;YQCaNHDb|eW z9Y(AWC}uqbA;zgQO4qq6qe{Y|$=WD4)Q-+^fHWu+M&$)=qPVaUBuEM75W47K(CPtA zGgOzDW@PGV0J4KI4cL-`EGJi4a4H9MxRLE>AmNdY-lKy+X-IFautF|PxTXA1$r0U{ zkp5w8NLrV~AvS(e@Ij17SI{YzU9Tmg2gvew@Km(eOSdV`iPgyt2eUoQyjDMmje)Z% z81|(c5<;tp1^eh*l-@u8FmsNQnGk}Kv5wV1IHYBmxV}Or{%Tadn+C){y9J~{ro1>J zJGj;b3LK>zJ$`$PaN%*O2cyaFKf`0)-l#0mvrTMEV-vm=h0}juA0YH<+Ek|Vtq0*I zCS-Tp`%P1av;k(@MUOl*Y|C{AM1ieo!^RD=c?zxG`+5rO3F5RYm@6#DbUh56E);u{ z09>^^q~04|BOxK{_(#jUj{zOUZ{8u)Qk>OE|4FhiMhL-`F3@}mVdc3Q<|7j+M? zvNhV&C2sd2W7Mug(g6B@mH<$>o_3Ckb%hjp*2=;p%)vAOW=nU`lv|}(Sb;h*8L$G5 zO)v65oX6G7Zz|dWl>GQ8I+y-_ODmw`)TwyM}WC1Sf(Cg)I5I9!GZv?Ckkae!o z#0aXK>w6WCFp3(2hX6Akw)W^G5hoB;DRMvVnpj?|d{e8|oWr6wV12NXHpZ-_cWE=2 z|7}k~JfEP7a<#PkA7HHP9w1WL!>6>*b8s`jSugFAn0vxfBL<#N7w?}o9e9Euu4Rh% zch6Q1jvC%e%sH}JKlpRcV%WOzM<%ppalKqg|0Q>Fsj!XH-(UVLnQfiFqU( zG0#1BAObesdf#Ks)uJwtDP*1eAf`)Su+37WQI!yrlMp|uS#cVxN)?C^R?HXb5ZV=! zg&ByG&03znx+Q%(?BtInYsiTkZ;-Jd*|vV=S+C(%HHJhvXkpkXE!rr}5u<&*WkgdV{)x4X@51$4F{TT;^8*?rh zb6kzR#-n$d3+)1~YqFi`QgZM~Tbpf2XnCPJ>e5Ygp4mIi>YbwQfVJL|uJkJN>UEtG z>73$5h}v0pAq(G7J{*mFQ(~U4yB#hgaeho^*HezkZD_Q-nqadvN(oyfTiV!Si0(n(7HL-wtd5$7II(QONN(vhPH7J$;o64Wxr{96;f`c$0hR0-|og0vh-y>%h zesfBWS8(v=2r(JPVov4u5Yuqjf0CnM!G`HjU@)Mr;`E}=P}$Igd0M5O-=z-)xwJV^ zr6nSjkF~1F!+z&WKf^!z%C_-~l$V$cn_rGbzZ{=IX7`g-3@jY) zzxS3r>9E% zze*Qc1W&sR*qN3*W!6X-FAw)Kd1tL{IWN)?gTPn0MZQ7lfjdv(dwkFDHRO(&Y!jOe z^9wu^?~(ni{6U_VWexjx$3n>FnBG;5m~94{M2GjRk~(JJr6H|g&eo*W>aoG(c#zFt zr7;mcdWZtAJ(~XtJzdALHFAhqb(rF@Nm2eMmj+W{*?NR*E&4>5;>fL0)L);Dn!qx2 zW}fN~RBAG^{!p(&%V*3Qab^er%$diuNq6J78ilz&as_NN@4w}WAkAH_1~azNH-hK2 zM)0oiT3~=uY2k|(kG=9`7vpK{K3jH&hZ^Fgsv1A5Z#bJ!yN>1axzby3gzD0>(<1-e zDBGD<7ez(}R{U*V%I5XWpy!chH7?djSFPBok)?gLdtDdxUirqY**VQu#NhC@Mp@74 zlp~aJ^SMS{#>mM=SL2VYhB=v2PR?In!9JQoktztz&ud7ogT$IqTg({TV7riDEdv5JGb&ZQ8RI{FpU0 z39bcdxwGaBaC3+M3%gOvQ2-gVSv^#F+al{VZUS6a4y$qq7P9a-kv^Rq^DErFFkRUY zm>e&e%E$n5hV`{LY9&i1+!4aPVS_YEa$K=tiS17Kgm$9cx4Z7ou;7DQ{ugbSQ_GFq z3lIky!J#j|p0HSMdU;wAtv!=r^RYn zs}i+4>*VPI?gfwvd465ZKX-==SE=UYP|M!Ixc-p9P2a1XY!lq;YwVGGf(COnm&CGt zhL_kdgaep1GQh_>KRo(?hmVGU2s0wL7`t$gBl@u(2@~DYL;HmdTQmcGh^abVdNW8v`O}8 zLs+?=CE_eW&VY_Z2b7yD&F2!epO+5%-KLdUy;5$5Ef8V*3~56;9g8?aA76gGN0q9) zyh?B$r*ByBzH(7mn8O`as~jyY16&UGFd*7uJACAXYuWBjG2O_JxJ?Z~f%~_j?i&(= zt31jjfEp%ZuP=r*9fYaNJkAK3a@$0lMpkzZhd*}z68#hyF>K&RHJO~dIZXvmriTtlO1Zr#OmW2yfCH*l!khBa zo=l(_;AQJ<`r+)ymU6vr0M(s>9VaT5mTq=BH}%=<>21ls7_z|$h3QM_*}kAP;L1yN zLpfr{P%0?j%#EkWuZ?aJ%cP#nY_sgE?jPpwmNCtiWzN#U=B~q9_h|B^?8rkIn{On) zr@suA@o-#{)@9R&=)e<=4mU(pN+VAtD1I+iE?-tc!qOY_Ea=yc_iY+(42XERj#W!LNxwoa+H%@dP#X#nq${z45TG91~4Oqg8b!AtQj1%;w{(Gb0j&#=S0`z z2Uy6PS#RiITf572#H+8BkeM#7)2hsi?R5O=r*m}^pVC0K?Pw6wj2c6V-5!%TK z{C$wEgUNIR+aHEUVif$YeVrza1Brl|uVK{S$)T3bfRGNf@#K)|eL$qhPDzSN-7)#l zp|q!8I70+mm4IbiS>kcx^!ZN_u{#M}ncY)a-BS*-?|O-=Q

>ZIL~x4@1rE(%f0C zFChD9J7p^=^+v27HUaA9zD~ybpDzKwk+pC-SAO&E=)tsf{^z;Fdx*c2$yqysveJP0 zz)Jb~c-c&$?=x4{JZe&^+q;u4JA1SYh1l^(Tq3~^M89F1eb>?B z(_D(*Xmk?j;OGR}a0ndKlVa!zGn7R9*7Urjs%JAUt<~#9yZp6#)J52(<}@tbUJ#}= zhd5s|xm@|k)suB6*v!sXCCG!H{BT|r9RBoDRg1O1goa>udpUPa6z-O@{J$v8N!&de zjWC@;2M251jQ;7SHuY*cGr)jMHONic*wRlKJ+f`)ZPT2I=h{N6(aiBL457yFIr7IB zp_yymAnnRav$KeO$&`crlq*Womo-v)#*L%We|qo3UR*re22kRTurPDR+r1X6Q#w&p zo4H2@cAVc>zow7R@8y9=0~C`PicXMB_aG3tC&VE;GAcLi75>!CPgq_T!V^nIb`rR$ zmy~RCOVMV6``%LeS|pdXW!uGl{AkdB=bZK7BL=jQ2V=TnX$yrON3nqPlLMB?gSOIs zlCKieZ1D?#xyoP%!Bw`L>cFMqi$89LgKR2-k$>Z+)A zGaVPAx5S?js(U8pg^c~mTT%6H=4W}kF+1nA;I*&U>IC=@Rp-H|^7MlplV-=kmfn!B zVmNl!O%d<3n%;<(U!jdiR%;HH*X#PAksGGRoN~*NY(t{7lnc7uUvuV{G`zzK#(9ABN*Db`*bY7#=bZf}pJq zfZzE6CC7qcRI`O!=AP~6GaBvzZ7T<>yBkMFJ>vH&1b}ra2_`Y(SqzJ$nX4D?`n`mtL@oagV1+n3S5Z_f<%lV3UT*_Cf|1jqBV&v z{U&uxF-$Z%y6^n^)oN{POmy;(A8F@tJbevpv-f_fK<8%0)-fq|Ia2biw9h!oMA!?0 zbVaeuDexT{){bo8%BfXys{$ug?NcTjz8eh_t9uraWh~G3C84KwQR%i!NMI zD_C=YFKQ8x&ss{&Vtu;yy6b)0e86)?wb$ z;zaW}b}{%4-!8*6@&$Z<*_pAarQwGLiVN{;Me;HoI7;2Phrj)+l^Z^jbiP5kNXhcZ zOvQ`4IY&*dt6lga@o_!_i>1uhPaz(A8yS;Mz6|;t&aJsVeb4*ridK}5SLl(=*zD^X za#!hf^_OU`ko@a` zyzcvDh4j|m1_x;sE3X&br$3jZSN7=dklyG!+RYV5RmJnpe$r4jR=l>_m{k1cEl#m7 zWcL-EQnajHlsFBi?A2&*6C~7}G}!ba{cOEV8Ap) z8a-U>7ck#kq(|VimIQS0*~O9V1z8%INDV%o1M$3GZ1p#e;J*K9Ns^K!#hIp=XW0I# z4h{jqLxsf*NL2dU&e?Yc z(}~)9E%*Kb83qn~)?mU%>8CYHf=h01!S{RjZRREAR?NU6Yx=bck6I{2Dj>$4G^(rv z`1Q*B-%7vYkzN)^-&zT~1AUnq?6n4oHspXS2oa|1(k@GST7SB%cE!k~C<9y+uNeNk z#`%{~peazPZ9}VsyLyge26T2m+N9FzG~oXAL$X-w+_T#G1kt1zC+l8et5}+ZwL^uz zPw~YmsgyL{VY!~M)|Rqf3!6~(<7Aa~ho(i0s*wHDi*-W%Jjzw5c#oR4Xf6Az&GD}D z7<9!OS=x~^eODx7vU@+P#%42lGQQcTb*}b1>5U(Zx%Vjy?M%GJZ9)^Gp=y}6=>+n6Z9nrAOF0&;f$|H|%YFDqyWNik^;WwFc~Z!s?i++T zD2^GfEbWCjDYsHv})fi>-OKvU=C z8-g^I;{Y;YE8mPYy)hleV|1eJdo^CDN2<}stls@TI=`pz@e{y>{ zY7S_pX}9*LE_(#Az|6lwh?FVw%TkG@^t#rt{Y;j5B=<)3DOnkn=Sr(jR+@8sNFSgq zQ;lDJpSymFt^wUgdH-Eqv+$4KQYHX4OZ4rs9IO_OJ6Fx;4(Qx0DX@?bKZ}gT z(Qra~fpK#tXwDan*-x7eSoZ822EH+oGQ?Tx4Ca2Mfeu9^aWi8?mkgMCE-Mv|+81)H z!^3Dw)^Ca&7PtqVz~w5hhA!58v_Ns=wKS#MV0)Jvf9jG?IHlFrI~d{%kf#hAZ{LWr zHyl_*EcA0V9yfBaVXSugU4`1ujjwGUJ!@C&r#W+b@_PwM!LsLGR7q(( zIvG%-D30&l4s0jDAp01cXY9G@=-#Cv-(4Vf0I}*KVU*lfex^l8w@gMYzE1CK6sy(T zJ}6%2s5lx&=O##d5}(LsV*#pad#cY6z{KKw8cuz!u;^ikFRrvkHaBMJS=$&5c1hY& z@ZZ0f;XE^9`l8et!cXf+O=4_K)I>eBpig70Ued1ze$a8u-N2h8-7nSYxHmM`b2X)>%?IJFhm&5v&i-4mXL59nfK7CD!2z-!k zH640_SE1y?uAFeAW+j?F2qLmG5b2AQG^1xqmU$8vp`SLkUB~3#MUmM7b61~RoHoO0 zO}OfXas!dNIBE`9ryd2}%W5-`+h+gm+gl{lFs3f^#!uXQpG#La@3B?=ywQkTy7YzM z6!6a(j@*%*?4vU#hUl`9kaxEX!Y%X2HIz&|^qCgfYDzXnq}c>i0#jMGu|5P9J&n_j zp0P!x4cIILCkjGcD9SHCFE3~nLsv3-Zb)h2Vm}OD`bbLePM$Q1J(Z*FaRXE>PQ-1p zhXxX4>XWB)KlZ+{Xkk*HKZ9D+ZrnZHO!2onRrR(8XwsRtZu-`xDQfJLtEnJtfct&n zeGOK0=zp$mjoOCMQ~1=U+4+lWMf)|FS7#le-hBJvVZa>8_^dR#Ug9rMse}6JUXBl; z2N&0$nTr;<&NS@N+&hZ@TQ_!H+c+cAI>WtR2DnZYVJ7bY?%%~GhZRlw+>e% z!VbsC|6=^PJ}7SiG<9`vjuq>gU|EJ;uh|TF?t6&Y+FLeLK7uI|!cbiR$}Ld*ga|Pz zDh)xeLLHMEhP&sR)gUfyGgWA53?E?L~t%_zgBpU{A*MLSFdga zvy&IkqU5y}s_eRPcCo)`wpCj1Lv&&nHi{hbKAE{Fkgt@IrIkqH@>J7b(;O@)l8E|* z;*2)19vVkHJm|T;igbEnv!-$;@7t!jocSk{cA;FQx~@aZZREOpMP7gM$^Kk{`^U{6 z?2~&(x}={szVYniqBn=wwG^CaO~tUjdelX;cTLr-Q}RhpGQM8p(%yG<#6~ zTnzLKMMg}344NKaZGxT$nk_-I%JdN->S9*v1tL(!SRJth)IK^W-{}69%?DlKM6t}? zZHW}h0AgBsY_>WQXJ@;z)h%MeiF)u0I)=3we&gwSmS$@8Ouec4$T;pEc~aXM(x$jX zb{Z%upo0i^7i7&oghv@HIZG`?g&8qN_j!;n*N%OLc%UArE~aG&nRbd)!s!bajg+n+4lkKrAjk4EM_j zL*Bp!45CR}5M_X4(cq!_HK@hf;aan3vuS^gA^*nFZpB8$1E0d%8K+@GnArxnmHudU zSiEOP&oo8GZ0Hz$78Lqc+7l?p5R#1vnPx7!VBV zhyqJc9K|)~;Kv&+d`>8}jLl;MB zW$;BWGueCbds*i*L-Q5mB)6T$)C=%a+ci*XZz-eMs*ow&?r|HY4p6lfu{+-2nY+Brz%m#tcAc_VGpYktTxIyD0ni}TY$XA4fr}!Mh9#L=?%t@C@h6*nTE=oX;7G>yxIN&$sIv2)WQ0Zs_mR$@%x_0 zwEp@(rE`hzWAMn~=66+LaKE-dS@7XT=Jcva|3Idpm=$7BsMiZnZ4^4dVjXd`5a_u4Ez*X$b|a={SSW9U0aK~ zScbKkJ-A>|Q)5N^)1++G+hi2H$C0Ng1*l(&{gP_N!ZaC~zuPoBd-9ppqB(YbB~jPH z)c#Ds5F5aB?W#LnaN;h3qg=&R{$~*D^TlP;?My{CWEQUZYtsc|?}4lLv8h9-73dl3 zJIZU;*D_?zF!fjQGFze#Tbc)CWegbPATAU9OarbXqclpPsQpjbnXB5WC1G<_EYH@W z51&MLZLH|PVV|?u+nY=Flr@0DG(};Yq8tyC385&<)Im2>^p6e7)7>*xpjz4^AftGU zC)02oE2F=K7BOUo*RGfiy)C$^Y`lhB^?~*R9+Yj(V5~r5VZ|^$ntAO+l-QXWswo>M zN1Ka6I~xMDlvi!{WR@fq@Yz98O<`C!#P7-Qk<0{rZUVoTGt@vunfRI=FJ5LAeCf1nNmiU|-F|Nt3aE zlarJWB&p|iOO|kCh;YZNpY%YkC|okjNL|JdsPG>Wi*a2;02QJJ^K_GO#8~Wtsqq+4 zTw%NZM8clMc0T7Baj%y*)C-iYL2p+>tJ? zNJu`M5-)iRJ8}&km8!SoM-qJTO{K`7-a^)w(Szx}W2Oh>G>?vB6~=+8|F#&R*?Y;* z?nUCGVfn^o8~2UxS7?J@Rc9JbK-5`8plZSFv88SFs%Qp6QLcEZ;44x<#zk+_P$Yj_ zqvj0vXThv#1^%fEo@Qlhw-w$uC(Jtn7H`vBkNxQ}XTWY4>ABHx;{2erB1NcYj+w5s$4u zF1zlgC6t@2#*bIyr|-zk-f>&8b1Qjp_pfWWjn_2{hfgI>+~p42co`llW9&7!uZVlG z@pP(MS6?#n94g;K@JcT}X)*P-ljoFyQil-kw+8$&7Ck$xm#VI2vF3ADJ^#hvqvnM} zATgVnb13AoMOgS{lva^pTW@~4Q7fR6MA;a|jH#VIba^evv##j4XWmjPw4RBr75+cG z)~q42RsYb-os=4?Zd^d!fspty8wD1MY@f#GnI>bV&6K83;#ayjblo zGtj6GsH)&sD+8C)uzz(BHy5SdZ7jEG$)4~~Y(`34P#*~$9VP?y6ydZnop~j{n{vO; zTiP)nHN>uDUUVNlq4g;4rRQh0lLduhl(V1jQaTn^_pBr^S9*AF@Up2!4Dgpl78*}p zCVJfdpSRo#ftAyudIfykta?oYV>v-!AsYD>eyNd4QZ=da4hQTsp0#~ck&Kke~$PlCnumv>S~Rp~}J(Sm(< zFjn(&{yPP}ovDo{JR9$aaQ7Ls8MQ6N1$FE#r5kadVL}|~M-w1^*DE&zy-!B|GY7v! z`*OE2%LkzC^_PHO+U8#W@af~{1H81AxFabgIrVJ@CwTv(&pWC7lLU zli%}cO4iJ*byX?qeQ+2pxPg(V`gNOp4|;(jx1P55@7fpiKULxpiCjDfA*ypMu;2mf z5m#W#qOrMBt*U0~FavgdNyEJcdy~+7R$IEfSE4W8a%Pu0clG$~WDdGs>X~#xW9|H! zcZZ@)rD-UMr2tm5@!c6-s_0LOoMoBvm9?BBr><+ejB*z2vrCNCC$9!KB%Z*Q22axF znU6;od%|7Ei?k2s30A^fi%MC6*;9f2CtaSU1YY63yxa6$N2O$@^Tm+sg8bptXn$Qe zTHYjLUGejVdx3VzjRB;2_+-J9{Jp>!`mwuB`lXZAw;!hmOIK+`{~DMy$0dRD`=0tdyl2f3CD+qrrALG@Hz z63skI+h8z3VA2LF=Hm2Zl-a% zhVgdqnDqAcV4|=iE~X?Xg0MGPlJwBnyTr@gDJ1%h)5+}8rY9B&zn}O9#{nY@m_lhQ zKSp{ftAd%OTK2>O9rj&6{F3VvMY+5~4)WpG+zmc-FDN}Rh-vxu_-IVWH*%g?Gt3*Q z`#x<9p+4g`Uyc2|>u_A}27STVpjEGB74xtZ|3Aj~8J*+s(#cTghK*PSXTk=m`?2vW z(Sj7t;A_upjr72eT71*Tbn&xzP`s?^O|mDb-aZH2XVpAP&mURerjAJqg@|M5wnPnM z%R72rxyDx}WgG1(>`bL_6*Hgg9+=D&I$P?_$QD|NK2Ytz6*KkJJj(+OH_Sb^b~B6d zSs4#>;*h^H5e785M^bx6G^As3c}bc;HhM%hi+CqKU78y#!FOYaMEr269j+-@%d8lL z+dBLauI1(+{cHGz{t+i=wwIQqbC!!se@ThAZlE&eNJmA8{j_ywNN$UX(G5GNc73Q9 zRwnatHny~)**ECslOp8K(3P8KKi!e)P)JGdA3GP^U2hrNHS2ycmX&AuZ*2H`x)n^s0X7v?RbiXGF2A4AAp{1&?ZFHTbbrM| zG(G?-OE;AiFF8Aq%&7Ts-kR7(4Me5iK4YPTB*~%^nuy}!*4gktr1bHVeWTVdMN-)1 zVf0(FgJNGJa?qMkFfEj@nO27d#Y1RDlOlvx4~TTPUNbd)2#5KZuJ8+VSY7#|G1QX9eK#|HpiPxl=m-8Fp};!NZRgn3!SRgU}f?G2-coc*)kgk0CysCajNpZVX# z@_W`TM>}rO9j%|QE69~KDE~N}uKbPVAlJ?=X|!oTe5Oa7jEB|)%z&#}o;6!}EShWq za?GN;U5^pg1o{Om1H*b@TWbN=8u>;ei7+}=E2g1!g0R;n?N+U1^LDuDh-6d{*X%Y| z8Ppni+s|40m=57m7ggzCgRM1Pj3n*Fs}Ayq5$w7l-QD+4BD*0ggwm20YcKz`O(j3h zPV>%utDSw|kk~ZUY~9yui$6<2$8+GV!$8&RwCWe1{iLru-^dD1*H-tw+09nVBnw4HsBipo(}sq=fM$a_3(jj5J1C}@e94{=qW<&pda{Q6xCe5yYIxl+UFTt zATQF0h1%zvrMV{&?~Zl%AR{`ol|Bego&D%7Wqto_qH0X# zezeBto(r}hypjo*=G8Rin4HOFTPKGgl=h|A7(1q z&=eX)uL@N45i%8XL*Z9$Tsrp0=yO=m20YW!5E)`>YFTfapgYKuc4ybiS;%1Tz@W}| z7CkzHz&;HK>=b*YU$|wb+x9MbpLPmiG4me-lZhSJh^LJ1t^JYuMTkRbG>DwU(hRQ2u`6pLuo*~b^nld>a z^TqgcC&c3Xi`De5;V_d8yM4gQN22fyqQ=inFJ4pruGy&#%^# z6C64t#stGszOEN0@B@RdTkV&=vj$&Z7PR@z@3K)0)G>l9~1qV&%5?c z8+7almDC(>>Z2?D z|I7U$<5eE_foFZoGemp!sf5oDwhQ#xBbmy=J1>cn-}jy^ow`$)@mp{1-@9mDzSuW- z=La*iVeh}zk?DE1)z2tRllY5xef5)@=b~Dc+jv=rV1ndQeDb&L_=L8`c=HX5RbKjU>nBZ>B9&^Zl>*8K&p=Md^q$c zICk3{_T};67I~@K*M}D{=bM4S_2q&6;b;Ea+jN1E_|30fmdIyr`IzMF#`Gm9x5z5K ze;gb$f9S!M;mlU-Q*)zPw9y9U@VwQblmtebtnz1!;!lk0$8}{lwltGSaG8TF@>FIr z473O1PR~nz%Cs5lKL43@@+np6B*nyyED3z=Q4&Fs?WUahtky&H3L!;Pw%}^L%9GK zYH5JNQRq8@q%^>~x{JFnOFeE+7}Y1_RhOV0ccGq5J+za_!>)t}Fo;3b-{~ zh`2YJbpZEDoVmr3xhgd?HR}-sw}u;MxOX|rRpHE?nwi>Cv$C|(*0E0K`1mK>Kit>r z8lUg`Q*vz*;5Q|z_GDNisZ*n7Rs2!o$-SR}=W*tbd4wIJ(pc$gTo?Ynr*KfJOmD~O z?{_ukhd~RxH^QRX&z#Wm0J%oG0Efb`RI=#X=a&PWsP2G^G?Xo31dnOn{R26>{hZoH zfyW&FE|mPJ2>*Zjnp7)66QJ)YR>CR|TtR`)?J3~$KHTvrMTx^B{O!P66D**y4|v7{ zf3pv|%z~2AtR5g(J}!!}DF#v?7jq1B6T!EG0DEb}PkeRHWhz9C1-sS&5{h7nNMJ*< z-JS1V)JElT1bmU|!3wg$tr2j>e6kH9l1|K~yIAb(jwoZvuU5Z61_g0R@gYLStd~Y9@f4uIMrV`wFde^ zg=?$?(v;)QHGA8YCJs#`{?ZdJWc}s7VH!=!sPMS3T5u*H@l2J6#%rrHH&n%cd{0kU zRO7X@_ie8EOFu{(3$k4-e?${ct`_f87VeAp9XguS`uZ+wc~mmi2~e;Adc0p@&Sf?# z2$8UY2k|yqlmhsOLOmJ$hUlh(5rmI~?(dtm;mjQujb^X-&muI10}~@Y6yn2O74`GX zM)EI@(2TgSYKnOuhA)N#TjU6Ick(wy0iJH$^shHC31mf4VIv5^Rt%KMg2`<0pQ*K> ze2aP)psZg5;Bw5>aUj1gTWd*%$$>z1hf3ixLTFJWILJ_iQaO^$U#4wb%~knaqV2WV zbfd&LSs}i6)b2ILm+M;OZUdVkmFktLecli=Fwttn3a@L!+F3Q+!i2v*+V79U^SSW! zcoTdO{Dd8c7F5GPVL-n-8BKb1M~_;; zr_7s^TJ?*j$-^=?8!rw0=)7Co*8xXN>o0}5~6HTm;f^q{J@M@I*KKH~kZn@})K;R=~1|?=FHRAIUNc&A_ zw5ZDcjoW-iioBZ;%S}M8@jt@>@9fyZyW+=j{1>kw=BfFC8P)oE#{& z1$jDk%k#34*;lwDMIhM>kq5A&BY|d0cceswKA7+gstKm)sa#$nxP}(IA{qFk|!UrqaW&Fu-Z9yWu%m{7SUx zmr;RzR*R1)kXx$!Kshb4MSSiYSh&a`!i)GXK;17>J=V$R=1Gsu;ie{C41K@9oC3YQ zmTjX=YK;+T!iA9lcoPqwvjXedu_`-g;TIfx0$5Pi!B6J_u9m@{XYzMZ@5The+|CNd7MxX2 zOUQ=e^Qa63Xc1LJCsW84TN+aNaYEtMKbRp z28!^B8{tvjJxYLG<9Ng}tn^0Yv(S9I2+=od)`TWN)IKT9RONj4!~?FP99c)^!^~YI zZ$1x}hUE447Rvnzz}ifXXjj{%hn_#_nKL?xG9uZqK#eiL0WNuU-}XUl;^K3uxuPli zwU$Op`|Cv5Q)#CkShcR0=}S&Bzk|TYYZ0%-d;&OFD<^qZ+%}+nGQj?} zPFgJwrnOF`Jbhrrr{E=Up-1YhNlB#qh2zgquy3TTSRlemsYkZhMvY#`^+NpRRC-1}^ITMOkYm(t#<Euo5q21}<#oV8%Gid(53IUyM z>3hz;gFvU}X~dt{GI(pp*O8T$z59<|L<}J9R|*9bBH*tPUDV1>>Q$4+tWN*x)kZ~4 zrH(pGR(iN<;#_^i-FFdD#@C|{u6;9Ie}nW3|NQW&%Z21Hr|{qDP^IZh0a?m?sJlms z$N-Fxp+09lbe{NJ`duY=dbDB8sC(()`ZIT#cB0_lFKv#y>B{!uje~N~dp3N)$~5Go z;}re1ul&*c=E=eEvAx0wNr$SEB#mi-fdyFy+2bV#LA`7C!$n9dCJ#^X9N_AxTmbq0 z)X@R#C4f@c3)nkUPkv(&cYpxyCx7_@V2POGaW$5`p{Ruzvuokm-<|1gl|>ZV$aO9* z9Shr)Fs(--<*`@q3BhBD>0H;fb*_Emg#FC2bm`dy`>Dbp&8+*;wRC*bu(gx+(moHoWaS(aRu}Jn8oYd60+aXj&#ah)7`dCVK zlZPrieBDIW8MI9w=OwhS?teedelvsn5rqEtVtI*bBPk*zCHOQWmH*2yS_>#_8sgo0 z(D7Y2;(l~JJICkijW{PMm)S^H%t!6b=o7@W@9 z?9L}VUbOV%ygU^qC3WqfYj*Q`{6*Pi9)#P*IK`b=ph)Wa6_7axA+4P7Hb{JGo%p$wxPRV74D&MhEPiXJU>~MDX^SE#-(}{)`c-DG$DQb$; zo8^ignl5h32c9oS+QpFX@6?Z!i1?SZ@Oq1=6lHqiF;+C-dFE03g!c9j;$6ddCJw(f zB=L7(ZiunUMqQ$dpi2ee&W)l7a<8G`xdwZ55~StDZOYsH$vnjiPb!Sdw{7{;)GB&H zpCKliYT9hn)B@hR)huWJGnOUZfB8|9#z@)&MN4fL2|q2rIICyMZ=8Sl-Y=y(;Q zaKs<{aBE@*Tus8)T(}J#G@Pq=Gv7F){#@~gF)M7cX>(x_o0Xh#=8WyvN6Iw&m`BdP z2k+$D=!%B@RfzAbDWbPf>oF!{2kkPxEumn=Y+Lq-LZ;GDeyBp0zHJCA|2OWOf@;Q# zMP+PVn{_#MhnSjKKCOCQTOv^v)HGMcQbv(L!(hm2qRx3ChhQ2U9o-aB1DEU-RU0(y zcru@9(+8i)#9p-C0vl6VmhSJj;{(Ng2{abcWIBPjz@;qj9gOtuFj7qM6{T8grY60u zEW9Qipf|gbUMnu4pBIFD9GP*K=^y9xsNH{i=Ugw&eW$(zS>sg$+bvtoVXecxYGm-q z*KCD+LSEMSzpKl82lm_xOe?@I@Y{hdD2y~6r)*1AP8;<E3ZwWk}6zfLNrnC4q6xH+GkIyZUoA>ralv9&5w@e+QZl?H-V$n-#|ti(+bXXS&V+mjg6ArEA?yCL1T0M7Q6>NL7H6@g zDHb0qk3vycBEgMfb&K0zABLz>VRRL1Lh#C5v|>f*7U^7fXk6ayit{bh2DDQ*u)o#m zycnqpe_O;n7g8r;scG!~zZ#j3g-+OPiP!{QA=Nte8>WhG2CyLfm9~NxLA&&Ag(sUi zT1;^F815pd=cN*YcJIuJk|-qP(0x_}C`sA|e$-NK1WqcN`BFm&*{CP0cy}#^z$B^nqa;o3==G0Gh7St()ZFyHS7tLa4@q=pAb3-fDCVsAbr6;|4_|?R96Z_DAkFC@_RxTTNXy%4IP$= z;#Ip?dC9BqxbdonHWO<7Ch5Ru81|>1|BP!r-(cR^3mb0PWo`6hQ_C%e{e*3GV$xmPQe`}mW6Mf%MdS@;z%RIa;9_d`Mvr=CH#ArMtEj>!6=hB7jB%{UoX6@c z-mQ8Xl*nVoqskMCfqO0KqAUfTQnOAKn5QR&Wa?EdqTKsE=PG{Hpu@)1PT^*xuchY& z@1$D?7d$Vh=}|cJt64kfT&Kx>SkRx#=Dc@Y~l;*MwUPgj9vey$vxjC8t?+U3+$ZCJ0JLt*5DqS zZhCv{s8KQEH`FG!NB3&fe9SsETK}3h4dvNm2<;jf@2eF6Gpx-|0m~M{_s4~<pW(--KbfreH4LsMN?{(39JCBAPSE}hmZf^LbJ6MSw;3a6lzn#BmZ z*{3m4W``W!x@ksbC{XqOk)IeNCtK@Mg6%ASF?WliqPZB`N9Wf2woF)l6{~8Qk634j=cbN9U9+g4N}da{-Lip zZDIc|iN5d7mWGH4`c!a5KX4hnHF>1}oU7vg_NGby_XB`W{x~!58hQ140cm3ofI7Z3 zHEj#3RrrEZ5FCY$Ay3I=Eewv+RMTKAg(pJW2bu1;qRNkd6-?#ncGu1)NV=FPckY9B zCv(bmz-uX{OY&gHP%!^NDV~jpWOdbCgZLu&bYQ%%(;05*!`2)?FqAi%NQ=RM2eW7r z$$Vg3Ya6k(_;OxZG!$1OB3uh9I8^LEP*gF`C|(%29VD&jRDPsnI~eRyI;0BDdfpx5 zMUqD#msHcv^egF;dW;f?Ir}Hg@x0#JK{cv4gY)`_XgQHDq7I4LO{x`Yqdm(^c)Ala~p;7vD0 z5mO^@lh&&k5(}JVPmjh~ldA!E4-H1M5ags4~(21zxrKT>5*sVNI!6m%3lmhrk4a4h4P=^x~+3-buiT4%D|{ zQ0ydwmVgfEVEA>MAcXRgB*u@<769#_6Z10+V+pnj!TMXM@pEY5ai=p$G5zKuWOC|Z z_S(ZtGo;b4hkEwHBg*S_h4r0fpwn-?e;LC=?p2=2G953 z$4NXpne(Bg3Z{5!862EE93B5ya2=Cn4)%-(9F0thdNH%>0F(_zb@RiIoF?@dDZ@;W zo+Zg#gedW&Vo!goY)1L*)+u~sY1n=NZn!glH9b3QHYPCbJT*-j1ExUreTg#mCZp+4 zVOGJsaVHeh)c{ZIklX9d17!U>$ks?NmE)#r_m#ZHV7&+KMqKdq z4+7h(APE-w7Ki^Ra1+xsd4I^1hV(DaC~Pd5J#$nM#5;f0@L4v zBens!_{Q*(U2!7Z=t{&bQn=vt1i{rIZG3WCW4=D_t4%al+}UHG zJcHS_Q_V!`*h}mDif4b}<{j0_XHU)ld6RjEjqUwdE%KyIRDx0PMp0HWe_E9ny4vj3 z(GUn_BH7?RC2;(tcJMJ8yy2)74$v7%4U7UE|MN1-k15)zO7ZSNJ6fmW>0$RLL+7li z%GRXrleF&&{#hmB%~Alt5it_$GdHh4vAj3{P#yRTx5qfGJ6OiBF|{i#{7`^1HvZK? z_rQRTw0=MPTwSLeYFYGk;y7#Epx!>8nO@=oAvXb%H6Ucpvff&$ejeXA9#YY9-?OtG zuS^I`1f!!M{_#K`{8x4iKViHUi}%;Kkc4>o z_O-&1J+8`C|0#y_|P&lVtnQjlr>T&dpcmEZOIy!~$ z%^q^6Y7|Z)`Ft_pI8I9Ka2Bd1(_s2#l;AVOo|KxT(nE#(|27m=DyG1)CeHC5Xh zngXa6Co+}T9lk7WpHSXl+Jol_vYy(-$atoG_FAz+F1QPnHm#xYsa`CU$GUmxS?6or zqLcr)*nf+!c28$wJ?Kj8%A~IBX=+ZeswbM5Mwqk+Hup@v#=Bl!EXD%T2mL**3xEGo zzQ=;N@-TO``NgXtHt>`{9viu=ifkvsH&*jSQ?tR!w#ohqth;J|d*6}BZmyI_Q5vDg z9^NlCXtiZf=TMaH%wb?TfY>LuR6L-g@|FL~rg6jQHOIJO=%iG(bx@PzspH+n{gv}C zgU-)QW(%z7_WCRx_e$=P5Q}nI>n|1RFfXp8gBDZGbO%Y{3ngm>hKhAX2x%^$r7)pX z9m5XTlwfP9BBD6E?`I5r~~wM{dh^c^F|TAnsD#cH6yYoAeAHD zHTiHa)c#8;(5UIw-(`*Uy)IPfz3r0$*eh~#*90TNc(1;(K1x{!U7l?8+gEWo1d|q+ zcDgs~;4+LI7Ix$8R9KboTe5w)>2jcskXRIgsV+91oeW9m?MtK7CpJ#yhPiX3UBl)T%06^kdLpxg>la zq{2FgWJX*2MDkZNg^QBU4}5IN8@SnDH}9FD;#v35xm@qfz`Z=4UgO>J*^&7V&6O>n zkOevN29fkDhtfwQ>q!>>783PF4qy1tFlLrrpQ=k1VHz*~T6O)l&j?&#`mPpR{#n%( z1P4&>xN6f~n^K?K02FX9{r}_mt%7i9hy>3k2M@j@ji=5@aO`Dnhz}9GDo;P0!Q{>k z^Npl#MoU!B!A)39hsnl?rdyBVQ${;1o)I>aV!R|+V6q5^*>!8;aH#$^%po334d=B> zrtJ(fDd{wH4WpaOZGO>_#^Sp=whXZ$Xe7v|ycJ4So7d-ks#n3zprt1?E$7(b+a=LE z_DGlCQWRa|#69FKa{s-b(<2A^gS8LgBoW6Qy)zzkQi9Qj_WeeV#%^MzF9wilPmg%| zn5uyy-SuH?6lt~O#z$id1kRoh3~rgqL~KJ(<&7xV)C`4_OJA6DdcK;L)j{8b6T0>wRZ#XY(<&u z$$XG47BXxg!L#y5sk)l2v67Ixct&VprQKn{IUsq7lD$#0upWUy`f`NEPwIDbAUOtt z9V>@>NVLROo)iHfso{^zVE3^$w*F&73=@cDqF<}BXv!QR zlXys$tzvU6FbpZXv9I;yNnv$Vq06ZIsQ$~p8YYN_73e>YYVD-PYBTYdYQ;UH#U4uj zAY{E36lE87Uo9FT%p7!-mmmE@kZf8`wIRHRw*Xvnt)K7<6(riSQrJ~nyLTjsXH#E= zek^aM-ds?)q|d96@&g1dP`=XCURgiv%Lcx0IAPx>>kDxIsWh3C;O@zJZ6wSVUT2&X zPJ7PeX@!C@1 zv*G<3?U(0&MC~8{|HQ%LJ#RAN9N%+`U`Y8uu}e#f<<&M;nL8Bb@Cv#0bh|U z17ml_k{bz@0w&|of4`&D-nLL|K(NHG<|_rE6-N96GU3l|Q|J@QI%453T72_ZzGm)1 zk~oT;wMN3-IuB$d!(KIloU`T_Qk8k_tEvy77mF;5|0r_bt$xtH*oLaB@sB>Xo*jCA z$;LEcZ-#BX`s#k+ORsvKzYnDSpRaqIDtp4qOf<-I+e)N3Px}LlDI@OSl|ZULO!s&P z)IK&MU@*-lzleVQoipcQ^;YSrf8loo5dCnLHiNX;(|sN}I4hE7r!v+_m)?YmPUBrE z@<-AaI_6T}Gfo5+FW5gX8~hX`8Py=MtT8mZWT z*lQ2v+n~Blw`Y{`ZHPw}8aRfXersU?LtnX_Is-304q@J;Z)~L+YhG}MYA%^pXF~($ zo@7!_|JV>yCb;DLM%UYtg6ug#2Ou9f^q)NWxoqbrsLurL}Xk zR?O(5txm2JIG6&>fvqUIx>^I(EFj8(MU{^k6XBCJShgq5MOXE$o2l`3T|JUb+_+*i zr$3YZ3^pok)YcLAq%Y{%wa-@u+*FNw11mh;(z~}p+hLnirZD*G2K@&5u*CmHzY#_` z#3^X{(E#reyL*L_LVl5JuO{g{(V9{x-WrZ zuLWK5(l6f#vok5i{8mSIS-;6w-kp`VCyeZot-YI;_Bz`v4A9}Oh*=t5LAiFAKQVuHLmw$PN2gJK?3&diY-b!WJ~oTfl+Gi2a`f@vMyF(!Z@L zq91LJcp!xh%WtXgC57X=%&Jn0-cvv15moW-S^N_!DF>zI>MhBFA-Et|?IIJg!%#f# z*^vfjO47aV76C<|r22S@ur)>R+@YP^oe_lR4a1^0ZcNcC5Abo%cGiEUGoI!PV=`1s zPE=n2xHL4mFLKP_aQI8aY5Iw0Ny`>Rrq#My$2Xe6Ul|c~=7x`BywQO=t+t*4Ugrd! zz{(CY39fJCX?7MSx_PYoVG1ZU7z(>V?6c<*g{nQANMqkKkFcp`QcE6S1G<9#KN42d zY+dvM`zs2%o$E3WeCletT+&wf5l0TFMAH@SRqr5h9r>t*E?w|izd(Z6lNsOOR9m(0 z#N#34N20N$Q_&06@EmzCx`vkJuS7#taElLXXqk}#YUMAy9Ky)eWziCEBK)67T_DQm zN<`H_{yg`;oH|;tgHoxgT74FcCCXe2=~BJw35i2YRDLC>bKY&v#|>RB;U8#ov0O}z zO)97eqzqq>PnpxSrq$a*ty8t^C^J#Li)^qZfw1?|R9W$6eQdq(_2jHZo`P(-9kS3F z6G3#yWnggjXy_8o9O#vtL1+rH4(Rd1Wrn+6?me;$GbTfd#%P+ZO^!%yD4!;vSpiKW zi&s!Ar4!xJ0|qp}N5q7Qx=|XkjUy%6KUP+=fhAOKfP(ESFm;P`^tLMU;s&&mxH#*; z-3FDjAevFU$Dn^0HRJ<{L6154+=5wXMUwsO&P2`lg%{RuFEpDJ7P!Yusox3b-*-1Y z={!S_^lZl*3njXpEawkgFt(A9fg=J_yj$w`dnJ z`llP-T5o5FTL8lYxtVxMQzf?&0XMe=s|4;)x^F#Qy%e zjpJ4I^v!+$00xi=@vLEiIPcA!WREztvQMpKiQkrAnp`r( ze_E(%1knwPxnmG09qQELU`!712spM7G_{E#6N=}LDO215a1vuIC*VM^_UacEHl#&78X09xk z%YNhOS%06Wb#*C7=ddZRI-;~ucViglu3am!67xBQ{K~7TL196I* z)cFUgn%GRm=pBIEG8NTedhA1QXb90opTM1U-e$N0kRceVrAb)MHyE}$^rhI@V1XQSxspvYpG)VkEgb|w)?Va0nY=rOH;4)`+oZA zzMy$#WsKB5Db9B0wL(%9ULi}GRmtUdC+Zm9s z4u=bDWOG=6z)rC?+WYb<@;_)A@32dy!Se?%s`>N%TnYiBO=nfc&Js_t?$Xl!(ipv` z>iR{JX}VXUD`P1D^&V7miiEy)=*Uia`Fut_{Z7wp1WDL{l^n%0-g+o~dx-B^$D`Xy zj;g3pWTACV9rQwyIj{n4){~*_Q-JZ2!AsbT%TDnR5&sSF5$&*KandCWxLCp>{{l}X z^oS%;X6eugNCxGgaX{Q8Z|RU5-v~*LL`9hoJNDBu&w%yxuD3 z={P;pgYu|M${WVZ9ZB%Ts;4>0^tAK)IDz*vqwBU}Lmg#mGp;4&bO@A?(MwW!xG z>TK1O(v*_D1X$|_kY;_fnPR=gz?lheiv@Pr z37GR7QAdlQ4lazXYs(h1WA(egcE))olwtfrFahr&I4Jh@RV9J=edeyluoennr9_i3 zd8%m|WX9#yt{{eTU;h(E2D-WhIHBEsy~vY+xf;~2B`HegIAk_4Y(sCdRLypMr%{t; zI(sA4LnGy5yjUJH6a^!*O2!tJvio=|BIzcPc8)ood>6-%&_?5SGH34tc9QouCZ)Nb zgHyhmI(dT^J!2Bxhpm`Oo>IVh92HXJA2wnV zOpYAk6-aW(F{O=HIuMdSAcuKM3}9?S;(C;2Xeiyp8d&nS0rLa;Y>&LfqU-8gxce|? z#?65Hg13r6GAQT8{!-<>F;2&aX^5=p7B+BYLbK^LnakCJ(phe_hv~T%slM%T@D`lK zN7u#%SGpR^f-G0|f%u-%2Ywlv3ALxA(~r2VfXA=5as`B>>H#SENSvKKBOFE7QHD6(0RB3B@9?VZ%menlo%PA|>d0X9k7Hswo&{JAxZFqOX@3H; z-|53zxrXD8I1$*eQA|?kXnIo;X+go(UUi}M+C~W~eDsTI3IGSxbA=uuZUrq2>uKM1 z5U@{q@%D#i+qIsp&#D&Mi!{|bxc2yn=}vxJM~UzLxKk88WAg+$*zH~CJK1&~?Y3kY z1g8%Q&@qH*MhcaT?_n!=1oppZ-(G)dU8JqF6l`f@%d$M@1C-ULQI@Bj;xpD*860S3 z)lS9i!4!5c&}4vDK;jMmB#A9})KWf68bdeTSPf!xd6tSs|1~ckFtqrH0XIU|S1!O> zb>W|PI$p$ux13pd%DjW#(|A2F{^~BcS#vuf(RS}U*ecP=Z+79O(}>awt4rxh1{Ebv zQU0_fpsXpstag*?82P*h@|U^XJt*L}&&0jZJX@9~ZUYi{3>^QG?-Qe3wJG1LQQN7E zcmQRoP}0&;abN!XtPqkml$u6;H7yop!`KvX>=}+`lXV1;s@cb!J3z^v+^D{H^J~*? z&e!pZe8V1I16L9<`_2~~G0>lJ10u` zAP-ifhkB;y>$S?}Pa%>Tv+A!k`)eX#lh19_b<=}8tAkHOz4lolOGlAy2@|V#0q2$c z{y066ZVgyrZ3x4QBE$oq89lFu>inP>djZV?1;SW{}M_z~1TS*eCNB|cQVlc2Br zQW^Sk2&iWr{CG&ikun;IM%pJL)Owgdi^wN>wvZv~_g>cfYr77pj@tA(ORw@JF20IO z^7bDi>O+CqpN;^!R5{)3bm_uK)DRt$OlDO;1ja}f67yJM?K^?ucj}jc%WWdEwzH|g z)h-8v|K%W}0L9-)?lKl?uEUyt0Gi1e?4IO>D;rt*B7oL!B&c@q11`BKP6jirVe*u~ zrvBa>84D}Y{lib8Hhv;ls65?p-d`iB{r&P4^#k-^jn-)Pe!d3e_%zR*XmZeGPfF^^ z*1XQ=_kHQw&?lpf$4N1r;=7{$J!FAdhzh1vC3LiR>~*hpRoGDUR#M)8L_vq|=KJe@ zM?9?P{T|-RamStd=wv^q=btg}1JwFnUGb!k+1SUWrP~^k>Uu=6)#CBm6yGN#$wgOVDDS_h<7p4|3nR(@ zV_Q1?AfpJQxF#aLj_wU}pS4{&W8)l9Er=ge&-@p#WCQEX28vL4RZ+lViE#}lfL@zc zfdqr|ot}x#J;v?@OiS%J60pA%srQbeY;)Zf(lZhLtU>NtKFFTNh2Qxa+2i{i{GG*P{XUka0sgx`Ep^n) zLD>?W1XQL@w7oe-N+d3S@+y20_@V4`>)GLx(6oC$dsL2xxvxCCYGG-r%J;wCg8Q7K z8q>a4L|Q0AZy|viA0Nz@>OEUr0j`&HbYn9;x5c_f_ziJHq`HJ>#GT!zU{s8f)$RDN z7~yn%-Y#7;7?(tgqTP{ll|`b2roq|^_>nU@*Hw~4?)AW7Q~1_(z<&_rGw z2UL^cvvfaSp%ROHedy>S!3Bs|IW*6B%1X^C96k1jRkDB0#M}I5Yi6RzFpk{_et&q1LxRkWHK@Te{(18J{1|rZH2T&ipEh@hyamjR<+G?UCTrf`zxmBE0Tz_e5 z#qO$F#(U8_wtJISxYL^tU38{hEglU4tsi9tC&&1_0xS2J;FMg%$=vJyN2%NG6X8S~ z=TkF+63B}kK$}Daljr2FRN8gKwPa*`r_u9HlCo=lYc%2TYWmLGn@zw3t6}x9jQ_5^ zXpNY*|KZ7L)zuC~qEdKz-j4g+8Q;mrJ*pqyW?oB9$KPvOm`w3(QhONm&-+UPvL1H+ zZa2G4hhbb2p2tjPh{xp=i4dA9Q$f_?5`jKGnay0>VGf*2!p_p3c>Zh=5#uR-M`&}1 z=$H^R1)Abc+?EkGEF7KA&roKYnFv*uhnm}mj%aa>D|#d){{>7g-p%Z%xq(lU*c&E1 z3~e7etEhEEy%?&tj&lpQhK&r_7THqT^c}sG)evHF+a5KAMeaxKZT4OSVSstzHz}{h zc&GBBTzqdpc9;djFhR-T?ox4QK)si;Ed_7VY2M{*XQz5$AQs`2(`o87>JBbf4LQwR zX>n_D@3L*1&d8!Yb*WdX1}TUAV>op?dN6%&y*G2ZH-}BLRkIrb(_f177JD%L4yZ&|y+uyjCpd#&R+%#cLjB_9r6^UK=HkIr z9xNRFs;^E8t(`HNgM5du6!Kx@y<_?xlPE5a4E%O#^rasuZlo=$D4q z)X5iP6DQ@<6apvhbA6T?7(FKIlgg#I(kBig^Ml=3!rw2xHB_2^b!o^_Z)qw{&HOz* z@G7bxwkabv@SW_rj^X2!W#H6~+MUGOy3B~!W`Kt6MDxrz#pm4a?ZGD8`J$MgqG?1E zKoGM7TNeLFFTCaJw)9M9{j`oFM$thx#JU`#fArWe%Uy5DG6JlG^>F!Q@XYH;F$^}~ zJ$(urck-D}LtI37)2Z?wdo6g63|4`AL-psoACr+62ky`#@RBd`b?(60*m;lO3ETaV z6J9ab;(gRIMYc02O?{*a&2iQDU?c4e0Na@Cxg|;Ri?5M66DPta2ZlEQOT{Dm$4ZT| zwMWF!Eo&W2q!bGR@v&{YRO0D5)GA{V9NfLAJPmsb_Mx)h6e+*y0Oz6!J&ZAbYUolv z(l5bTD9q4vN$~OuHV}>9f9_l&PK|$y_R(KcPL&X9P^!&Xk5z5T%$;_rE&p0)EBB3u zneM1Y5ru8Cl};2^6Hn?E)-eOUo>U*z;A?P8jgj8A_zPauwoe=!4q{JLHz4`TW2`ge zkJqfyI+Y52Plf0#7>{xYzFYX z?-oL51I`mpTFuA3gGeyUqZDS3UrE42TKFmC@%30L4BRlIZ)l#cY6Q&M>o~k*hcl%{a8}zx?N3j~)Izh-JKI}aTZ(|k%S^j14nR|=lOEo- zfp+YB%X|H88GErsWo z5eW-4xXmFGd(7#pPXvHbUL-9;8b4Uo=0ZSziVRh|7h9SVL0`?%q+l2^6`jq%euzrT z0#IaVOd-tH##}Q$-&ALwbwj3ZdvcwX&10)nI+(%PQ0mXMuR&vVWX*4k80-Jih&>}x znbU@l{H4K{(CHzJ8+PX3H#LikB`OW%eqa zfl-05aq1CMW!p*m!*}7qJI~KXbri^MQfl}hZS=5-1j$>b6vH(iTV=vcjl7roRWi8bwk6}Ehbf$}Z^^vf0EaBuXl zgS1q=P`!nTi-M)eW(Fa&46#{~&|+wEJ~wU@Y-1*Is-;XhDvu$Mza_OuY}Ws5nF+-y zid_vxzTcZ9l!Y=VVNZ7}#YXbX^XqP&%z(Yt?ou)PS)lY)`=#T=M{N3}Q~uHO_PPiC zRuLL}YX4Rq`;uRaY^gxWfq2W4)+D&w&w0(#xtX@l1t*+&Qe|m*pQ&9VrGELA9(REISK=uU~YA~53Q^U$6 za51Qu&&Nc=@zUi=L+(@77_J+n?69at=n~Bql}qLvpyk4OAf(L_<-INNQfM+3#0!r<1{+SoWMpR& zw@*H>QIuJPfOPMtEN= z{jw3-FZ!w0{G8@T^=Y4Xp9^soQC7aPzFhc&b1#_Mr#*6x+gOAK*qULwqv|074HBGW zUYU@9>KL_EXtcz0nRuBTYkE2NP4b^5uW$0kX$+a&WKxx+eJ~ zo8x3wp(QHUcs2leIez%s0dn1~&;c2tWPvu{fa&F#;=&SJrwm4dZyo*l>rA+&BSdxP zzcCdGSy_SnHukfrW#9~k(ICddB4=P~JS0&#P^W6j(`$Fpndj5WnMCZUF1t}LQq8Lk zyiL5#hYz?%m@6}xGgx8v&0F~NDH}4>+TfRr19>EOh@u_CNc#XlL4Z_U5U3d7jLpD3 z2s0snP$oBn+%?1qqa_MKy7b8J?xXNo3w4OKj6x*(B6m#}E=eXy5OMHh3FP)x&pHpy zl$XX3>0nJ%k@4nu1HAveXT598GJxO(O1CYu5=Yq}@6UnM8qk{kOJT z+G4~;l!eZJ}EC(BfP3q_;XzK^TB1peoe<_ zdK!I>R&I(L7~$4VKfg9&QAXL z9HSCGjP|KUu4KeA%v85C28jx)nj^|bxEiq$GdV;Pdgh`f;G>G&Fxs{n4cTb{ktB_v ze@&AR)MK8NSBOd#Z{guFkxv$yME+S^@WaC3!-DRdzu!?M$7l6Gj~G2 zD`;&8{&p3SXInu#X%_QMR)zt#iNj*aq=+r9C_Tis3wKOyAt&<<@@bM@RHWaqt`o^l z;)`THQEG%%PvotHj7y>Gb6Em!m7?A%SRgz>q|asId=Wl@a(tL^4ol|00W3ZZ4gaU7ZNfL9b2D%P08h25~J5azSy%i-}LVz&UXKq2i0;R2}8 zkHdD|T%v=3RI}S{mPbE9j5tB8I@d+rSZwUshFI3~^6uxJlS3!fh9Lq(2#Z|9B{Ert z^R%X)KBh#qQ6kr{kPAyxM$U3bfYP8<{!1!4)+#uZLLG7FH;e$0(?B?(GkQ{uSzy|x zQ2n3m@sFmW=zIq+*7Tv$V~T!9Hg~7PobRm6hyfzGTk0jUUKjNf6-vV~s$qSYFf0XE>(0EMgRjPNG?s?2EsIe* z-=sP2PI5eAg4$gbc@KPtUeQQA$1xW?pv!8OPBnUtC%d?c8K;J)nRidm3QSH}z_0pI zMS=NfT9fP2Ls~?PsetAIvyc8$HQ8xVs+ySE*gFaN%ENdy1Ro%DqgFN%OYT{%$65c; z^7o9dEGxo&(%+Lta5GVmcC+*+DF)y9hWY(Q3H@eCbL0e&>20NfCFNv|(0^0qwye1- zPnC3Gj(kG7LgxeGCc?pPj^r%Y17!NvAn%#E%PHx}KO0R`<_sD+h7K%3C!sMBYxv)hM#uj=SoKy?JG+T-hCy|7@Nw)Ygl z+Po!_zTcom(pZ@H&RtuLbWP8`_JQ-0@x5Q&3@^yc*gWGHP5hoe;q_gsdW+z1nSgZ- z!?OhuvwgjoxBe-9E4dO`KJ3(saLTjwl0vNP?O0m`MDQlJv3+Q-O81W~?g1-35=8F6 zx$rl0xk+4NnVfuEW=iLpEQiXp0nZ3OM{kqsWl%}{Ni*;p`whMKLpbJZpV<6NyZ;Xd zW5>m~cJsX#$rQPv<+Q!)Pa|`A)>Y02$z{`uIY%utdRFL`%GGAo^B;(at%#j=h*1}gMbfAS*e5}gH7)E=6!44eP7+wCcuA_o~5AKlXEReki0aw57e+w0^P z*N?4FmqQ9xmnWH5CZPu!5B9xtm-yH)KPu>DH;6X2;5Uig0u!}M)3}ShWZ(MwYW)<= z+P8c?Hp+e>&|Z={K?*|N`?mh^#yImY$9C5qbHEkqG@;TL3ddtGgXx$@=~u_C+z)N= z_~`#7rSVw1Ot(yiIyXl@1_I8_8CJ2xF(J>x~e=qqTFO7ALlJL%2qdm_$Ds}&|DCC z;|;SSkS?8R>c=(Wf7Tu4p4}ifJu_$Xg0;DIj=o)fD3Vk4^kd^zIjKkvQX2y`Af07C zh}7L5vVm(#kQ+76(aY5a{7JnL=Gl%~#vPEs7!}H-8ozl){zq+G#5MKdoL%&4T`V}; zBlp&C+3jFt^_Lwt)MoFhU%3q~qpnk?h|G2Z+bd^)-T3J2zrVtv@v;xPoIZ;+uJg{d z5Ut&sb3jt;hf-pzz@XyS!+(5?_0{n#d48S#&YB+$wnX!&^N~g3o?8D8-b5 ziE2h{w9SEk?#0yHiF@Mf(W@zZ;URn(b0W9NdULWzfO5&u=U$P3oB{&+SmuY6`sVdu zY(ExYk~8?^GgRVExo#}QkZ|L^bw1sC+MtF{qJseS|8#^(Gk}A%rW!4~1N35<5nc@_ zS#bVkod6C*1JDo3bo;1)3D>airV*2GB<$A(WW+=LIJL}(ASczc46z_AjRpBB!z6)# zLu%vQd=vbf4qgqW^&8yoC#7&8c1pAF0LqT3Z_ufPmy-YNdU$05Qs1$Fgyp+`N>28GM#H`5}rbO*&mV)tyz`Cewng)d6T)r zvzNc)*Gl#Nnab+4yrYQRXqobHlXKGQWzY%y;U40faC%K+;kAoPSzL5GC9Y1?NEp~; zd3SX;h^&^AOu3)_dVdU)wCZPLz4Ql*eRthvn--n0$+YL(HXr1}p7qA`1Lb1l-7>q* z>yx3E5s?vVm8IymQba=2wyTQOv#2EHBL9!=n}Sa1_<`uQAacGLIZI$tOVI-;2>zVz zPJymMO`!d@*}}#23GbVN0cbx#|CTZ@sB+66 zZF(@YC;B-4Ko7K+FNo7hgpT7o)XDvuBe52PAA{)eznwrtk@%<CLEB6rQ^cUQ=$80LXACA5 z(MkbD@)D%XahMnh!1q!B_0EyAqL+B{@klBF-u1`?SDp%HI>%-Lp_udyda!7Kw06?z z{z(s`LOhKzHAfCLy=vap&ip7_;VWeaIKP=YE+-&<<>r4CS=L|yf;ZYnIphj;Xf{vj z4*au|xqS%WEiSTG?ErQf9M2=1pnDQ-{c_H@GEp5{^x{L%U-yR?iJ;l*CnO8CYj$-8 zEO_-^CAJjQwvS(_nJIIB+R=S?yW5t;_UGMOhO-`D2>cLzCjVxybHWy@Co^wY4a+}f z#w_QLE?hqs)#f)yoVJbgxPLIDBcf;4YJ)rSx9ojK!{)e$S+_1*k0%A6_se8oj=$^e zPlxLycBMaDYUDeQ&H`nQH>5QjAut(^Jv^2#4AYxpLsq!FVm$IilfM(nizy@X!RQrf z`Ok}2IBQvYv3@)~xqRGpqR7VnJI5dOC`f_TI}O|&awamk3)KO{yU_ePOGu*a zBj(*9*YGO#Sbk3}8)ez9A>K)x285L+HAA1VtBL{jeT&0W;1eE$3j-qip6rQc-^j0X zY&{7Q4A?Y6BcR&&AT$8>>r+cZ0Cl)vO=g&LFn)U;`w`)?CIZ`3yj)UK;W0TxMWUxd z2k+@xv>m?_9D?g_r8PFY2J7ax=MJ&fdlE~WbbfP6jDhaRB3TunhOLStJVD?M%!UMX zt(mf)zlCX2P*{?h6|gE1;FQo1VGyuWPwVw@;Mx1le5!^~7O1;;BVuU9J%A&0I>H&u zSk+ex2DA=O$4vGN-EuEQPE7PZ-!b`3&2Zb%P3#(+%+x!%{T>bh%7JZ}D7(|$m3G3% za(kfJ-n^Y%(xVPXud?fFo6lq2|Lq?fJ8;I&;quWZP8N4X!$X>JBG?X6=83Ag44nYh zz2-Q5xD_dPHi&p#S{n01Q)$!1`x*9>+SvL{LaS+|x!5g7n^}n6Cy}ozS3gNgvAG9r zvwYFA(D9@8G~0Ob=>Eup#k!48oP+9T=pt*Kdz`_sHGFntIV@QL;vmUY`X-g#(}O9TGg76DHzi{Sv7D6bVTD6pleIz^Ve+Yi}ZuoErvt&3r&xD zuR3#s7Ha*vRTo3iLjKv70AC4&IRBKh7zo!05C&1%1pN+Fgc|@HKVm6~dM(lq=*$2f ztdS_@a4U>j7lLR7qmUIp0Wi;W$m|dS*4#%yrvfs=J^A8o&DG$8*m~e zg#)d88f^ma-ra=PDisU?iL5fU!yfjs0SZ)caf}iRX!bS9IuAX(NBg{SR}gsBkh*ML zJ_T`P8UU>4#AtppWTeCols{Ko2~`q0_ZQPoysg^(j|_OKp)gFTXhsF!Xg{)u9wf8o zdJn)rDiMjsEh+m>MF?7%h1Z)GN1wPM?-tf{u&pp$s5>YJLG%jQ^sBNXHI}=GQst~P-OL$3H-waIW`&y%Rog) zz{|PScdUL_<4-MF9JUOHWrr@Aookg^+1w54$O)^aOiHJN7O0&q>a6rF)ixL4O;^n( zcC5`1=Y|1a@;CUsmaa^CQ=P5U5kYS(9r?U5dv6`0-(3@VEFI5;fY1v`Vh6)K7l2o z@x>+_B+F|=uom$%$?!T-XB9(<*p@v)zVp-c&rk(uXY5Dg36~;IV)$}VG@#VO<%=7( z%^^t@aveY>F~m9%*H$Fop7#vWRSt7j6+!@_8r+@WgetIYq}_V1^vFvnecFDGLjx{t zcd*vEx_Z+0GpU8P$It1A)d|lI|M$5PFf{FDX1YZdaKy~K~*(v5L z(z90<7V0TH>>lO(S1K?W5>({P=CBGwSDLZ^CvyciqQ~+B^;T!P;kiNESIkSN2c87! z3OaiK=(#xK@HO~n(dQEUBlw;$W6K*TRK?`K52V7{tA9rcbGzO*x*AOqfCOLte$_~t zgk7#ZFhS(_o0sHB_kEQcodE+UHqYaKm;Bk^?+Ml~G1{oNd~6ucDi{h%8|No~Eg)L{ zlz0P5!4^}$ZHiU^3P`oTr!Pv!afEj06R`0b#DwKJ>d~u4RGwedHH@XhZuesL1umh?zgCq(J@Q>nPfNOgge${sVB;IMDLCbM>uIb;i)5I(LJ|1O#G8n1r ze>7^LTz#ccCw$)R(y!ltZWYCZ*_bG(Cv{raZ!I1CE~jqIt*MKzuLuFoqlE3C)QOU8 zgS*K@-1P`6%Z0PDwZ5iLV};<*u5P*9aJlCc8V+j?4I=t)E9O{|0ngm zPhwqZbHtbcy^I0qC-PM7YLKpYE>%}tC+MpZlB5rP&K&;$6Pkq(pEZJj)XQ2+N zSJhL{-BR=)JY=^Lb6dmdRO3Qq5CcJCztk}x2Yy(!`y&H9KZnP(ZXG z6Egt3LIdRUq5cdwLKidm+Tk!;?*?ZRm4~ZlV^%A1{_Is>arhPsW6u~s6Bk4gpbZuLHbET)WyLp|#SEGK`@^if&f}xhqt(!5oP*v>aBYK8^@%%iPB?Hs)-^H?B*ZpLvk&TL zE8wmgb$sVHbGMqHm+7<@PvNshn2$kQ=J$~UzHTYWJ>opD<7J)&ugRiLnQ-6A^3Q1W za*SC3(dtJR;h=`FY{ZYNv4RGn2yDz+CTUa+uHa#p4br###5OX$KeDks6tttl2#_xC zwg^Wf`70g)q+SX-U*%v%L1*y@&ipi(5@a9~I;$mB6bN69&!V7jGKqYC+I|hfK*o8f z*l<~fSY%`WW@A^hS+As{;WA>43@KrQQZ?8E6!bS|e4`Arnu>nFBXF2#Di1EYQTzwU8gucAY9Aw00SIs1qI!x1b<-bJ?i!o7{o^NGMmqnUn3H(y9G?& z!J2DlncP@)9pk7BcXKrQffKpgDXYl8BDOa6RloD|p5=;-&N>|`Xw{y8w&4Tk7~8vY zY-%Y~CpA*X2hq&K<)vs7fcOW2h#LWM>__qc_PftMDZoPx{XJbZ@jb}8hH6Yp_}&`) z_RgXA=c!#zTfZWj!N7ydRfCHkd<4(!eg~cz+t09MHvl zP$Vx3)1l1t-)`U@8LmevHvri}Muas|aGo0X!=Lnsf%=<*e@NNw%e1lmgsb7>Ru%(L z72-s7nhpcMNI}(5zyN@`4K6veAZ*e0xA~hQ6lfkI^!kXh&*;R@0nq1}~U@IdClC zl=)FczQ2~qZ5HDi_MDaV^L)ka)f;YsD$}B{ZNsR{qN>lJ#Qg(V8YSv*ZsE((_*@0F zS%W>r3;1th#Z>Wj7w7HQhJ%hB+ww8?>@EKzNsrEczeXE!EC1^$&5>yOh2rsu>5-cp zvM1RxzJ?Itv*GuT!&4K7yPLCiM;@^G(v~SLHYOku z;TTE-cK@V`5Rb9-J7(VRwJ`DSX&kPOe?WVn#}=_b^^!@$9nWB{%!zp zlH0hl)f$k(q#B%ASw85`u8Kz7Lk+;n!zHO4vC$Z7h4Dc?&Q{}Q#|0Oj*8>zV>{Km4 z!6s?ryaM1)12Zy7MG_>R-Cd=@R`JrUpCR-)SZ5{OOM~}f0zK?*%P!aqh1^!WU%FT> zb<1>(I5buMH1Z#E^jdcx%co}ST3+s0!tN;!6d1R2Qd z=nx0p*1d-Qbh?H>0esM-Huz3A*A0Vb>a2nu2fAdtls7d~rwnN?Y=X_ehZGIe>3v6> zlBjRbFCS8Ew^$Jg4kB9mCtZq~Km7BmrFhR_SY}p_->tn#CIkxk6@lBu#MOJ$&8s29 z8r)Sf>ZuIw1tfk{G#dy2Or{l|eC?wG`;h^?tH$G=BKp2U)>BZH7@h6|xSKrO2kq@S zx20@qmp%T2x|z?$?s|^@z{aj>yxqk>Nu`jw5CE#dy^^-<1>htVpJjj_VS+9)K~D+b zTs6q{BK*NWfQ*N`!G??xwscyd{+rt{!>88pH(g{zx?_Rk0G1G|JEFo25b%j=*d(y; zk_wohU^e~2lyKmQ8nn9#DB)mJK4Z-l{Uc1sWetX-?5~l+x}=aP%`zU!K-oV-453hl zkXV#n>>m@E-SUFyD?ug$)CIef=ee=*&E?st4B_((s!LXM?%^Jef9%)&plcOv-!0cN zV=j%L&W#5S6SR(pQ1kg4XG}2I(D>%PxR?2Xb0zUN4B8mxM9SM&sCIb@M1 zs&Cg2KHyI@i+8@F;j%x=8?xBw+zO1AYato#CJ^ z@gBKTa04n#xfUQR9mc7ENd+>^v;;)K{h=KBJqK!5fD$QK5}~e&hq#q8u+4YiDpfTD z`0c18*JqCktZ3;?w5yxXR_b3M{yJ&wg8F00$xy_&O<&RBsWUAnh|DGT>bHn9lqek4N|R)gIa0 zMEhensQVkW^2yU)F1c!G%e_MPQta}55c<};bc_Bji@S=Q`&=y7C0Rm$9lmwp*{K6& zubn(&Ypn7H8ta(APBG4s(M$AJ~BNrP$U)3|L^` zui3yKGPQt!5;E|(`SycRfngBWF>SoqQ@DZY)*hSqkdGaqU?x;Rs~UZ+nOLF%26!WL z9LN9z;Zcdy5^aMum>o}nIUc;8(z{=S^&s6`lp%IA7qX?QX$}5wUXQKzD^{Q4zdtu* zYbM@89u6Z{zFB4{w;p=%y=n*NZrS&OT91nl=1dKnrp4H-Q>OAG+xfTbUT*q)*wY7@ zwh*{Mi5d;SN$cZ&PN1iis1M5Ri&Eez8?QyUd;FxVJN?{EiAJ-ZPb-3*X=nRWX_bCX z2OXV0=g=rV@9ZNi0vBj+|9m%%cpp4uGQMc>^yK|>QI=LplXH@bvvRZf*^qBPoH0(c zeQTkbcgT-@{WXg19Dj*>=y6-%YI@@JJX%%{bLo-az=RX%?K|X@2I36BZ?Lhx)|g;m zU>;<&c3ujAW~wH12&g|8_{%(;UoVEL?9WmK zYC@NzaYWZy$H`$C<#qtB;KS=h!omb)ag41O@E^wG1MHeAFZLF4Kn>fi8Qz3?!Z8E3 zIAVqT*E+ikbF$(4`Pe^OUK;+3%j>&?eEpGG#JHk+^7_P|J*-Z3$k~Ly$^799;G-tU zN9c$0=@p_=pZoo+BP(L{v(DvIRIS^pF0>ev9oRdB+8~23A;0sjc8)=HK;XX?Wt;M* z-roE{>DY2qx(BEiZ-snyF_Bi-*FEKsGAg|P=nc|#ksTb&A_iFtd8+tIQ|d8-_nh~H#A-9 zF5(l!Q6?~Bj@cTHwe7+_V*jMdFlHOuhfFAs_jfo+&uk_@0KrOZYx;&-w}~fXdcApz z(0~823MA1oaVE$wlN4GbJaGU8iTiY{y%;wTtk-+DQsFfcG+{e(fn>J!kH$*97%aJT z-_-3E3R70s8%(p#6!}G+>??|{@2z=yZnHz%=Y?-2k6)8rHpN{XNqX}7!sgamyEwV) zC8E{&==d;`nZG(_VO-n;|p68EI-kuxfEWJ7G)I`5;z?e@3! zZ6AI+lOjavB}QMU|1abciK|^)>bI6!kq9#&r2)uX2`@^X?GhXA15^PLM5iu-oNxDb zu)S#ER{;4^ z)WO=s@9VVH;F(sCogtVaSZEEF1nq4rqI7|;ydE*RXwbf2S$0uhIQT94Le-v-RX@ge zqc6x8j$1xytJkxSz5Tt>?__s(&ZVN1bGD(1?+-46$&u>0W~Ys1rL5otr^vi3#8$bl zQI3>aSqUAxOCU$b3eLmxW7|OF)R)h~+_PGrb*KfRFDXwi72X<~e%+Aj$bAbpZ!msq zoiT7@sbMZ_&88XEx!Q>F$Ri71S5u7_iLGJd9gFc@^J};Nk-SVho|+YWu0Ecwn}%Ht z{tYKE^5^_bfl%IpnF-bl!smJdN^(|;<;vmM-qsY%juN7My;@y(?tapYt_?AZba&VQ zNSfGlip?(Yk=l&N!L>=qOdn(W{7+WQ0DZ3+v(-~lzu;G`$BU}X!0jnD@f72vnq9l4 zel-X`kTo-_6GfGzS2;X-k#4!+%W=C{R5B_89WTU3hW1w&2M;}4oXBvjc~h78pMF$T z1=4>A!)<1zn6gq>Esb+~&o&7*XS=kJHg=Y}o(P&L2pHbiaJ-2B@rW>CCYT;>V7IBe z^qXf_w$-}}yNDmD;)I<0We&PYhS95foe$jWxSsgmGCZ17Uw@@p%uh2mwE9P7KA4-4 z?pJ;1Z4#r?eKX7W94COREva7|Z6fx_MqJpGs)>ZABAEhbW2!5%FnDb|BfqcQuUVa? zf^!U-BsRUmy3X0G=~ZaFin0 z5%8_DIoq1)MVdBy*{>J-hGLQ&B%E0;3&*>A`2?Uq83zG%>w!- zA_5FbYQU+kHSpG-VogyO(pg)zm)=_9YRGEyLXKf}^Mm|Mc*2<2d4pbsd8l_}h1C>P z_i4Vwxr_x)CCGH3%!G)jmP%^&4oofc7_!3ukA?05PtGsgZ-+;awDGZ(GYyDQ>0mGuDB_!9^twVV2Q3 zxDeW)yS8AyVX_G4W18Yr9uDu{=&E?(ZF5L-^lWU!YgMWn!k$yT5zpJhuwLy{I&*iU z&eU#ajqJSlJJ#`hcJK0)o@*_LS-~^I`(ShHP?3v()#iYuB6|*M3luoODieY%Z%JU} z&J$aXD5inELZ4w(se9HZ%b2M~gWlkYw6jrYW)agg%QFBnWhjdn0_(5J0PGTZdUoCx zZMn=5($vppo6?}*nIKixEnT;l>+YJF%SLErY)ns&NWZWU?%tqFi3#FtJw-3J5pKT& zJoW){WdSL`FpWM^`t#$X##}{!wtc(BPF2T3R+1=_(L(z<~ zE)M*dykIC%M7w6png?p ztx+I!*t%lpO0~Q_hVLfS3EuRdhRbucxl+F2YDw{ zqL5mS_d)+7`gfbOfBt!>`??L$CS}T$ZUb*`4#L zN`E<`h^d>*_jkDQ6=1e<4e{DyQ*iSsAo?|_j}J3l!xH9=3UwaJn2Zco)!PUQ{fQE| zr+Xs43*0aK{hfr z|Jghhj|ojilR`qp#%?&HjnBQ!QvLMIgSvfCCuA7?gx4lFrx)z#OxSY;4ScEKKFp=w zqiy$bj_K>ozxVsU`S=qZ!$m!qgS&U39JXG_S(l{q#)0&uwm4PHj|0SLL94 zw)*@FD2k}AE5Yj;L{KNl7LsI>3go9e6WAaK z`ze0=MU<+6hcJo~k&Mi2qd!0Q_XTX=9TQgAySorc0B zRG&R(->37s?w?ZFt&H-FOpJcA(>3+k*96<^)2qK$8=fC+ttd0@QA-D7DLQdwT0a|0 zTT>yb>czCti~^fk4c&KLvbm&aYst{&SXgvEF1Yow@?P7(yXwC@`%2>b6eLU+$-ivO zpi|aR+E2A=ywLx;>SmTWqCxWMTBB-%@i!@-#pmCsDVJ0qX_)iwJt4UrB3Va=ClcU} zbC7U)z|ICS;3cLtNPxQ{CkliH0=9WdprE3_QP{)@$qo`^&HiHAH2h5nVH;bR$rJA* z!NWbZ;}1wr0}DqIBJ)9UKgCAN1Zaxq`Wy}n9YwYpg#k;D6s$Cu01wZXqyqfpX?RwY zLr)G&v_aZTZ{IG3ne|JOM`0m^fy_}cONL)HLRzt2-8@!FG!G_QDlqk zTuTx`O9dfazy^lIf&km9wF%3BuUmq~aA2`&39n&9mr<0!L&P+|^(cr$1}KIk3;^I; zeV~aNkTwMoNaEkWtl%((A5A351h{D|JTF1g7SyMoabpzI5RUS_KycE+ar=G_#|g?} zgG+Se>Z2PFokx#1{3XQ)m*|(6yU9d~EV@PBib7(o z^99a!%d(-ISaA}w(*BE4fBA(MY{^?X$qL-%l+yQ4P9I~T!8Cq#bbH^bD}A@xi&&(9 z$5$FZEBtGXp-{VxycSj5my$pV^n0p zKIu<_=qz!%r)>Cvcv*ONK=Vkqu43z3%fnx9ssbf6EP6*_I)Qe zh5QtiyoUxUCHoW;(0x67O#9;v~C)>IT-Vor06!iFBMRbjl1jF{@GWW|m!*V@SM*?J?R6 zC6JD=d9-HAv^b{~l$v1|f$I~Eo_s3{6U~t#Q(EVh_i!%5CGnffsrK$S`^J{4mU8WF zeT;oCHm{jQE z)39(lViy5n^-~Oe2Ko%;ClX+4Fc1+7F(G&jqX|2fMz;h7ZPng?T@u8BWK$&F1-kk9 z2tNW0=-2kKs}C-)k8G91DsVeArFr=xkS8pW4)#S}-~KvomP`Fmgoy`hOR zZFhhqD#e~z2nK`iJqkH>0E%4O0#l3UK7+&a5n1hgCjdlHi_lsRzP_g+5PtM@U9MGg z@Afs***8yRg}qwBFIU(7lhZIy!RRJe-5{Z}xVGdgUB60>Cy9-Z$4wn`#)dF-4+s!} z*T$2t4Bbz`u9iV8F;(r#&LF;X-|`kQJ1h+5`S|7zyFs$^=AI}52BT0>R_yks`S_PP zk!E|m%ianaf^S`|p;?b!;oKUYa9PbMt!uqfU(3DqqzSqckaX6HE6qfaQh`%LzY(j* zDIXq_F^~>y0`j4|86f;O{yqSn3gO47VMeh~G!M#X1u#egmIPq{e5#C}$ADga3`-#t zokWV$DWvRJM0l$>mEG9|1J)}Zii#jTw&Fw*B#Q@I>j~e8l&(;TX)=fS1Cr{M#q#~n zg8nLsWimMgaq9nIKSQOl6j)I%Y?f39SHpOoqODTFb~@ODeR3P`e2fx8W&;c)zD8F9YGmWd4Tn;Tds`za)ZE zyD6rwkEUM4to9L}F`bcp@2V>WV-n`-9zK@;c!qzI0Yggb!SM<99NR6WVs}5vX(z19 z3G@`vfVQ*!?@?3;mCG6CiuBn{Bc zSyeZK=*7Eu0geLb_&huoNeE>Nm+fF#GJzZ8L|&96>Vg=e5$md+#L&TP05H$cV$(#W z3~+dZ;|>NSMST(g!T;wvY6ma=j3YR-0{TdTjud1i75LGG>!!m^8Bk>bG0Rhw^&N7t zFU0*!ix2v8M5VPoq>pUi->Tij%J(jdU!=|8%je2|P-ijNk$bejEwX)FyVKunNBLonj*#jo}DIw>Df`wH86S zj^+)L`&@BGTM1OQeaFFJh%jxO%gfcwoGT~S=s>c}TsPQf4E+`(Nb4pI50>@3^%H8t+{ht$)O?WNt_;p7l0u$m}d zUfrVESOidkR1!RZH=4?j(AZFSQnCALsAG;eAy%|4qgeeK<_j`O0v{ykds^J^da~!%brliO^ z{dTN!Ph@J^cCuu_t#N0@nSqKj=f%iOv(LS8) z5l8}q)DaX|FcKd{2RB`Z`!e7?{qP`yn5JAZsxA&v!_WX<8(;FboZOA|!kHac?3i;vX%LJ!Lko=PTP_@b=$@FYwfodjA%ZKJ6h~>8cV<# z{^85VowKJe1YHnT5(e$s)m`ABI{A71wNE-z-;~DdwU1p;RWgq``bLhOaFxI5)w)eZ zw`VlDHZZsaWd?|ysbb33aLJC$|do8F!H zGw0$+U%URhoVWv$RvQdtzkqWiAa`B1=36GX$) z7ZXGkp1EuY)5g0npXzp+4X(4Ttx)L!e=GGcF1fW$xRUgmVD^fE?4$rl32$)R)xrx9WxKSbLuxgV33}$?I6*i^=wMrZ<`~Bi{rwDf|hHM zA^YEkMN(Pb*CKol-c49S-)mvM#aqe^U2*oq-oAJ5N9#AmJI&}rldRZrIb4ScX+(MX z=b!R&pJ8_Yh?|hTmA&F#gL=#|OEp1b&4kh(R--FF;PAD5P4}mPsfdc`QO>>No)4uF z*oh4r$fC*2lRlLdDM^rr9P#7EUGex+5I{}DA#<}N8YmOgVRFHiP)aZ;EmmBS?@V2ej zm!COa`E?fXT{1ZKa>&Yi@HjA7(Zqa%e826%FNrcE)${`ovF7>R7(GJCD$VF7avf8( z-@(x5$g|=iOoWbJh^}+>zr_p!{Z)bLD7N0I-^{ihCffMZ+?>>^_vi5d(JXZ+GqlOD zhyDCA&|jKV0x^DA0&-pgtheXTpf{v210SY1NV;e|s)Dgo1ZBIsMaFH^;fJ|YGRswM zd`cOhSM~`{?1PZk<&Wr`aw*-#wphJII&Demzq1dRH>)f!(Tc{FOYf(=D`#r`dFn?` zP*6DYb0^I2Cdmzg*}mG>4W*B9u`E)u(G2=7t%zEYBjb`O0}_g>ycq6EK?zHWj`{3{ zXO8YR`oMv?EeI-uqh1?I0C*JtS>PsU0Qq2$eB)-mh-IQxs}G&hh^@NU(CpCmmyc ztoh{zUD3CoVScSsg%ha6fm{R4 zt*=-Ynv6Lb#PX}^T^9kgkUr$Yy-it&oCFKhgi1tF29<5shnV{u@PRZ6u+c%nz4Jjr z2PlPUpEn{4-{4nUO;+s|HaIc)x{AsdJ>)-Ehplx2`Pwh5R+9 z?>7!+KShVg5bIZu+ion_ANjMDhqhw8x>A)*`PtX0zxIq|zpUN&_iS-$KrTXeebnZC zq-tUZ1!O<-iT|wyzLm2!zBf;Rj;j#q=Y@b@-Zn-(FL}MWL-E{2>!g)D3)i2I3UC5r z0{R0!Zy7O;-L3W!&PK^ek3@n0q=@bzF6k&9GQ%t_-ezQ*eyBXPwJv&zfQlOhcZ?`n zoY-6muk|x_Kz0E|uqub=%RzrEOU1TF6(wFlzNEwkk<%DecOeu^o>A)-$Lp3ae(Lff z{;$cMB7YAzDK`FFbuan>s(z`b&S7coMxFV_9Z_5ha61z6Eq2b}WrOFLAK%RH#?PIN zE|EFii#I&H7?Y^ z=sa37wQ`(G$vyW4ryL#Q;NCqL96HJ6YE@+P)e+AFSKeM z#-2Rk)97=&&AaB;fs%$R4kt4(J#_s%YPD7F!M#`7P$%^LjVrf#bB*Rn#gsFk2XbhXK4Qj1eaM=AVkJZX}IC{}#J#E;DxjVN1o8F3*GF@vOeU?}%= zyblqO*Xf~Uu3QhSbeuN{mw7i%U@}*7~T9;%|~ipnk%&s@YCgA^IzXxc$}lC!iy%S0|sMdWy6@75}@tY?KX=?JevYFmQ-U|MsF zJvM|O+-0L}N0$%gkJpBY?s(RX0TZrYSu1(QmQhbH_e0WFI-5lBE?yG1_){gC<^S6){3LQEL?R@qa}oc^wYSmaio5@a|Ltd*J52k@hd;# zlVK*-0YqOqPVp8{-uuu;eO%cfMt`IZU6g8jio-gw?(X20ie{j7)BNLyL{C$9#c*yr zY!BN{uQ0~uFDaHr7U771DNS}q96F!sL-`}ao5~{r)Pa$P>d5l*vYi&TZgGj^$6D7aJfG_ zspF?aGdtXS`ebLmf8e)a8~l+3by-ZioV;%ZOKC8-|EtCKAhTO;j)7vq{!S%(}KA%$(zHHUm#tGa;Ck%A^Z&9Igfo(4z zFXl`wdY*{|&Lxv;H$5OUBjxJ*d%>Gt+`-u%KUSb(Q%8rJRanqg+phw5CSSKsSV&08 zTU{4^3%}oR^U7KPJ6USk3QEs85m7UMV}qs(tOLf8XyhO*QPsx3L@FBnoW#57id? z*<-oawm3ki57YJOMFRn4b1tf_FaH3$=-CmfNWG#)rk1)}p}mxJnEYX%DbUBSzp z{Kq(*mpiLfXzWTmauamc<8w`b-NIL5)Q1r}Fna*ALPGj1Y3YGNlMBQQzP zsFa6i0r2y5!OHW;-&2k1bIIKdvckfM|K{Bj10oEt{I*X@n`y6XNss&v(59kR=W|q> zlQkFl|u%V+~2DTX_Tb**O z%(#^RRBSU)XV9wYw#R^vT1ybc{uxl|f_vA6m}XQ@lys<6iViR4tpo>9f}`=C8()Hd z9Nu9BJ9=zA@HwIa4wp5M-7dRz2EslI=jXYo(qGACMepSij0~*g;(9lZEF70HsA}+6 zq0s+JNO6ag)!T;p-x2i^#2@@PZyYG22+kc}llC2ps0~=KJr)o0g33O%Fec zy#)4rkrr0fTfF5~eET5S?)%@QA8yqro+EF5j;O8=%l#u5V}4z&fmNa{ahR%(%&C@2 zJWf`vsZqR#GcLQ;JgCH^E4sa1@RK$PX1=`_eAjq0V!`QZok|qO^Q}H#*wHY@3_Lz4 z(^{Rzm@^@SS8_oMeU4P1u9KYq+zeXp$lH?>V?dEyO|##>j%NajWR<72YPHwjMgI~| zZg}bJrSPB?D98Xh$k9|`d^+Ryu}p~LlykaZ(%$OSX*&-i4R%kp!lL)Fn$B?oDfl6SqNl5w0S0FVB;MVS{izS0H zLE=n%%#cBG0DH^=$}K?|a~>YT%Tx&5a)Z->aQZ|C{dws^v15$}Wz8Gvcf8k|{@s&L z(^Rfw$u4xz$mHWi&F=v5xh9nDE2SINYmF~bRDEDU?AHU0^?DWqrG_47g4h8cYew3% zxTb^M&%aGZhsM=p#(vhO&;51%kfz9to%g%l8#7>HdW&? zht-)+Yt{zq=HEE+g*IOUZ^AAAL$uVK1nuwvB?fT0a7bYSr~rEr$!Yw9b5tgV{L+-!u@Xae}hK0$?ZdRj}{LCamopcAgYFv zX9p_kKAMq;kD;N1sQ!Mw1K-G;#s6J~f|^zaRXG7#oG?&3UA6L#i{9tGQ8Pa?uR^Vi zt$PjTg2)^NE^Xxl^ZUfkao|Ki`s(hx=E=|OJz6_w9smhRDm`b6`2wc8V*=3sCB?he z+C5oxqmJ;zCsSo}41u<^b&Cv-EXXV9>gbxAox@7u5B3fS8irslq$SxNjgWD3 zbjwW73_-pl@ku?q+CiFQbIt-q^-#;Cs7! zVO+4T)~?!$TGmq*7>G0^8?pxHWTa%M-jTJ{T}TAd-qwEU)zZ=LBR9vOx#x2S-wxK_ zuj4fgVO;3-)q}1MR`b2yveM?>$CG$fJX#b>b*JK$2!>>P87VvxA!Bb#1w+7@$(gJX z7S)ehTVER=9bZ;dHuq}%=*JOS2no(9%TaaBA84}O9k!g6=(%#w)uZ@TC!WhY!>l@pV(eVXEWnJC9bFY@La@d0( zM+9wxn|lzFSH{xV5-o(z%q|EDiHyI&Xm0H)tEioPKG*w{wf*g2>HRudLWXeG(9+so zMncBW*iuFgixfiJJG$Xj30PGEBe@_lno&?xo0(k}6cQhQBa?8}($d-u3_-F+=BR#= zwe?*`|Bl>TgYephFkbZf#z9v%tGTtetfIO1=_FbLYiMjQBZo%{$=Ewm!N8Mul*t;L zq`CeC9Y3=0rT<>Gn_U8kv z5`O8;I$BhQpl@htZtvz!Me?Fy5ai^@T##R6bA8wL#sOY~(A&*|aUr`}duuD2Sx+Yo z$(AxwSR?{%Z|k=7YJKkc(!sYQs(TRlMEyH5N%ae=t#5X7rD9d_naO4G(V1mM%>~)D zks%DmjRM27_V(6Pyfy)Lvccr=1Z_i0V|%oajEn>puWI;zTmApPIFA80`wopL$N_q_ z;XFdtdQLO3Ojjh1r24A+yzrO!dzuCn1Sg3z^e$VI5<&geg0Y&R4q0*Kh4uNdJXxVB zeYC^l^oP_mn1yWZMWwK$3Y$2mJf$he!QytOTV+qfl^ibF)ZA~SJ^|imHPzoLD&AYa zhaD9e_w%eRsk1E#ev6E^O`fvXxHRiJqZ|eec!}6?AFy~FrMNQW$}jwWTsLg(S@r{< z_A9L&&_MA@)b|otEul-fMaJMU)fn!EOBnE!{FGE?8DV`GPI_yE_SjgOq|v?%4+;0v zj^pHx79U=587)*2R7fqe4$*Hv6kNa1=#GEr+t}IS)Oe+Aop8)O`{kuc(B?}YP$Smj zKJmr-wisH*@a=d13%J33a3;0EePN~R9qetv-Uu}0a1{c30j8H<-SyIV#%LUXzYPit zLYQ!uI%|##OcQ6ws;WI+QgR^+MHc#^Aq``}^1Zucwf2KmH+gy1%7|tZ*2@xVb?KFp zoyD|z;?@6^t#O|uPBc>#l96~OsXBCz+klk1_My;8$=(7}7;rEqubHqRVv0|tvX`8) zIzgT^SR!}j)m&B_sJ_8dnn!jGo~Ddz$mH)|LBUpjmDs@6MG zne0vT?uD^YB2J?aA^Wl@?}$8k4VGPwdi|UYH+N_AK1BWn;~6j{$dWnQsbxqB*u_*4_{g0-zachSBsbC(u?ZR;IxdKPUA6Gd?Y-| zy|*GI0h{%ed?Eifcb}&ZABeBih+;`S!zw<;ad20=y`JdBmW7gop1A08q=yveTX2UG zy)xk4L^cz&g11zsm^|vt1a@QL6&bA`EyZ#310_=vR!!wU4=sYR%TS6A8MflIwq*$N z-sVZA4%dszm9%%=f*0{<6~F~)OuJm8JH+Ga&;EWl4i-(-T_pJ|Z$^tpYeZK1>zZPM z@gS4avVv@ti-$&w8y9_}jr4B0*&5hu^=g>4m4jRu_StC7 z1Ek1z(qZ3ydi~9D6Ugj!Swj7_E@SX87b?}(`{>uN(B|jG)p@p9p&GIb? zJe|}Nxy&!;Bm!+Tj4Uto(%(bAQ${=_&G^L$I{!1OqXj(#W%0*JcHBE-$cs%Fz-|Cw zAui9P&|`z4b2g{k%GTI_d^R#cjb!h&uZ2bd;4$wpcZ5^vjJkkgLf2aPU$;*l=wFuN zPiLUz!K>ge;a(93q18uGK!{M>2k5b@4D7Nqh|47Y%}jxIO3=GW;jn3jT!l7A)X|`4 zIA8=_E0oG8Sv8rh95R8WApG@C?)|zX)n-X>0E^}eORFhrL#C?Dt8*%vj%s@kn226v zSYEO*Gtrmo$!SY;;j1wqBv&^g63hXPxH6e@pwWCR$>|!2YYzZIeUwd>XbC8=!|qC( z4V$aA6r0%TvZJh%TGTk52f0M$Kml5l0zI(875k{C-%SSv#!QnHEyL1+wtb-db==>dy(?C`ktlEmM~ zB?`T!Nr44DaQErq;?Y{9)_As6w?Ta;0c2$Ew)muZpBq(cNkX_TGosU> z!d(Ea!36p=zC8_D65#h~;na8lD5bueNG?BwggN(@O7{#Rh%=cm^A%C+xoTt-vo^P5 z2NpHF!A|{?-1q7+({&+Cm4P~pBx$<=dS#Km+)OEwX^)B%|?+eE8!Rk8N!ZKU@1bX0RV?(E)JlWUTN(`Y}J zWaPl^y{Fh+ha`y;R1ENMJ!S)6YI+f-0$5>ID&CSgG1T!~ zm;NL%M+RQ6zywd&3J`z8&+Ut?vRG~K!ECrb`@4O2g2u_x7@gsMc*Kv;V_QPCOq28z z#*YQIo%zI>jZKmCdtqr&j@|;dGi9fx#YTHAb+*)#V*7#I`=(vh?SKr$u0hIMf+`!) zET9!^EXu!QLs;hLQ&s?k=0_NbyH~>&^|i4Y&N+f$xTV+c))ylfBCM6z^c?D{oS6H5 zKf2{h0PxG}oGK3AjuOF7vKt!b5EIcJdAJ$Ii}>{z+VyXC=L*LB+*ENUXC|)QsgMfR zIma@Z=*~~FEpX!f77v0w=bzn8(7J!O#318C=m4F+jn^kq^Xk^JTq%Kdwm*ghr|--k zJ-%zKJ#*q)=zRSmR1ifm$c+(lb&P%3FJw1o^S4_;(lRL3pW@7pZ)U5m{M++}^Ell= zHJoiu@v)~Lwry5tbltBWE>u4Ha*fa8B6vdS)0Cv!O8h^)5#altI45&$xC0Xm0I?&?PWQ36byHemfm9lRnU?bT(;7nzvfm&T;P?*vAj-aDZ?^) zK$FT$utu3bi<|hKjpFP}CY~+zhkQ*OkaKOrEN7Y^p5vhok8 zXR+<3F0!aZ8)TB))kzFzgnvLR2X|WnERzJNWRHm(2q^vz&=J-S@#AV7Q3rmPi_Wvz zYrAkCp-gsc?u61z#g`IUGtN(ERk=2hr0~U`4;Zy)eVca z;}W#tXX`Yyb7@=p0)>;_1 zvS+ch&6GF=x0_+9y@#6JICuXR%5ji7` zUbmkDbs)mzM7`G~s^MAcKVkn{zE-@nY%8L{KJo$s44U++#z`M?bZL_8Z%IP`ysfKbc^eu5-ys9Nb0{vyhCCN?wmB z@v2K6Q2P?qg!q|VcWo`zFt~jXmD`{uT{YZr02hvt0voP{MUP`d4dizyd}Gtx#Q>h~ zP^mB+2MNOm^%uz0Ivcmkt*uUlxVCTv`rWLB`K|D)_e8x|_1iE|qQ~imZup&VFeL(I zK2R^+B#9J|`P3-^mSY7GDFORR$;lg>x3rSIb(4#I1I9tF#_H^a+G$b>AP@Z@PC&|T z0$@v2u>7^4yPaaGdO?_(;e4crt3P-^wWmO9@C9!%5%0TC z+jx7!FmkKF&`N0Nw9L@!Y!rfH%`AKx16I>07t!EWBT{+ti(BDfRZpJz9WWUKenhm5 zT88RM@_}VUzf<@UcTX{Qpu|xV+muj+M)5Fp;XNW~bA>B!S>(%zbVlFLYjv~|{h`1?_k|TjD}tCEdMFfp?HW9uCKrOlfreFOsE=)8$E;5OmLPOP~Qil zpB~c32Pg}>YGRTaaxV$6pl37E!7n4h9XT_3c0?aG3Qn zcmU3UJ8>fL%i9S#?&1^*Y%AGaqhf-dopsjm(-y|8VB05n-{|YPw2{>QZ{mqx=ds0; z`e`kai1s;zU>>a2B;72j=xVBQ^?pBW-xHam1(kH|E9ejK4se;I5Lg2Di+o)QULkX5 zx!gMyWv53i;MGIE?Lrr@=C14&pY)PATi~EY?heeCTMKh$&ytW&!?C^LBBdQ2 zbwsb71;a1Q{-Z9VC+%Y5qfi{~?ve(s?w7+m5_;EHl6_50ef{E<>J|wb4u%qZ8+dzi zmndc&;zDExJ(T^Cdw$OgE&UzX%b7(LGQe8+0lX8{b_~Kj#Xq$1IJWU3j>$c}41Rn}$-T0}b2y^( z;NhdcB??ZVdF+pM1eukgH2$|lQ2l9PJVj^$V758X@@`-tV_rP{u2aif{!d7h^8>y7 zTm|RNGp-B0`=wXkcwTi5E%Z=_P9m$bJp&2=+zeb{l5ty8v+yXhuM#ilv0LY!E0|^b z^n+%{w+XYy@wMN~6{ET@j~Lc9fa}0-7ns*?J)6A6Tzxt`jG9=Rd@d7^$0?%$zk#eb z()FJD4$2|2GSokbYDe+Tdr^R1Xenf43B0q1sKzM}n6V_+rZu=Z3Y8Zso%c%AV#BH2 z1`71DP@3YT=~IV$kP@8usFxhtMh+p(fj^>yY~^epocb9azkCeU3UO5pKW${?kQ;F? zq`xvm*S19ZL}OOQ{a4p}*d!DSe^j%4Qi6tDA@Y6#soX&b7|QbuU4|V{9z#DT23N&& z``g&u<&^B<<~ji1F)sg$MO_qFC|Q}OWm&N-f+ikVne*34h=GPCZ!L%| z#;MmC?FJOd-I{!98EJ-+41qbojr*omj4U+mCW)UaMdzNW^u=QOLyhh#hNhXTy>yhi z(zaw*!>^PpBordA$%5`lo(kWQ{jmqvTN3Z?L%23c zi@R@`Ynxf+Ya*ZZ9eHa2X*ZoH#3uZlBkHZE(>3J$TcYsh%ADiQatK*t-Pp83GJ0&f zA;rh+%W1cYg9#%Smo#m5b2F&>C@fsZwVA4D8e-Yxwx%BEQX=@DWvg&t)=oEO6O7F&3o4nn-~mwf(iTH2R# zKo%bh1ABG9xNkG1yL$eg?dCr(3U?G(xSh0ZBlmWPr+@hzs(`Gnt_Q|vnjyr@@+Hr& zvCbGLXm)cM?7RP|5k(1z6}J&l(qf_-UmgLzs9<377>=*Y*gFW7&{4$oS05dgITkBx zglM4?RcNS*0PsP~n{gZ9v@URZ4!0{8XfxVa* zB;0o!h25oGb&o+#J}}Sj8xQ>yfX{~c^!EikQmjX(QKyP6Wf zpWMx1WqdZ`kMu%?WD-<1Z~mo=e@zfj*PGEsfVsQQU1_6$P9n2?Zh*}_>qb`+o$zNE zxB%5rahuG2scd@R*#+yjWz=flNbHNdUMl$_y;tOpX~>^$-j`z5SohHgt#IRJ_d5Df z97y`*Z9Vzbp49v%BW|lu*M9zcW+;4siZ#`HcLR+>Md+)Sf!28D1&C{CK`s*%MMo|0 zJ7O!%x;I8+GiI=8d$u-c#NA3=`~LI0*eGPzALL1|t7xk=??};txpxmx$fBbohTahz zg}ty{XjE}m_LjL@y8l?ZvcAS@VZyOLOp6e6f77aje1E>c@t|YA=#20C5NBkY=Zu`G zn2_^+z^CM&`g-3K)zJe*;vkVA>d0;Brgxvm3xjrAyHsrkXFogfbzeKaQFo+#@cx~L zVwL{c&rTm7M*NR_{^pO@GZ%)J?{_bFPpF>z`{T*^?tNE-E2sB&)_BkSSx8iqh}Df7 zVfxc!R@mK;<4}}P^|&E#)cWR5lE;nMjS^vcgKUPdHi1)8FP!dGB%trLA}pAwkW@C= z&6ZYsh2C$Jeed}gIGN`{oU|D-sjIQb|6b`ZPegoJjR4AU>*MWc?{>=){okctVmV;0 zFe1FU@WK*U$T}}9zA|3 zyE)W`gC(G?H%HN(rb%VrN%-Xl5t&Q(Pm3Y6SK}?5uYE-LY{vRloc~c;WtHo8>1Esb z<{d-8`DEXDf#^1`@6JKS>7Bf#Wp$eZ(M2)e^DH`C$fcLn6y?u8`8=`lVDUG1X!>VQ z5ub|Hgg-nPTfb{em|OJ%q1sdcI8;AkO5ErD@!{K$y#H(y=TCEW4*W+tkXXv@JG@t% z)B9~Fzr`D<{G8Y09|X*-Q0{v9+z0euV#?Wlc*Qy!qce6oM_D39_T%1i?tox8kpH8w z4LpvN-QWqRKkxP)?#gSujuSl|7P`FG~*|5$M9G`8dUXqw}#amIfXdI$B+19rXtL1fSt4a)gaCULTAQkqT zkv-h3t2rqg$JnhGQ{R;pZ|6FL7gh-32Z~;H?U(slrKxvUpvklUqhYsBIkmyY@{BP?c!)aBHK{`rW%q0m|{;t(!d2`ae#6-fq&H zo_P_gaFG6|!Samq5Z|EG=&?A*J!7pR9OUxsz6Qf<();hD;soNMTF&qW@y#Q?u|c0x zjDa9J=e1#$tDUgOsI<^JeE7NBdQCY)B>?L=n|ijOmbZNqLkf7qUCpAaVN`<8f{fp} zJ=Cq6*jMfjb5ahBVBf2HbGWM^KhElQ(%f!kC%9~@~}?->-y2mWErik z;qrt!C4I)aNSQ8&JZ}e&@{*av9cJoGx6m`)a3Ca9n(Hg_0oP?t5~oj9X>Dq

dK zu@A*%VnQE*;*UrI;Tc0vcX-dkVq?exlS5lyT6w;p2ECJD)EaJtD()G?J*sB2G^F!v zd969WPULRld|2#zy!+YGr6HBD$%Mts89BcHEcC~_m?z}lx<{QCr%U*FVyD z9wgO%KXy2wd^D8R%TzyavVB*3DZV5TQ;g%3nmnz-SOz%@NTkj@I}QAT8G#%Q!0Dad z65J)Dz~5YZL3i&QP0F)hAZa@3W}w?~sR|)`n)iZy^G}Q9-qAO#p)b|?pPgW#{bp+J zN@fYDgwG_87C$)qT}D1{&kjRh##@I1g{>#5Uib|twwKNFbQTY(0lkd!4`ho*SR*in z4jx}Zh)TugZBl#z5EIM5F9eui)&Vd#m?HPJ&x_KD8pxXID8Z^uW3j04?6Uq=rNE(8 z&5gG_JA<=ZZ@?85iR`raNy+@Pb*G4ylf`2@y7CbiBe}3HD~1S*9))>x*_e zjMNTYu)Xbi`gtXi5j-QK-PH1cNR5MshOBm$!Pl{m19F zEUdGnRz+h59?Q+`@w?-eWEGp~?~Qb5saKYOMXM0^=}<_A*r1hrgN zK4MsCX21|yDY+IlttS_1PI&_@_8PH)mB?0 zy!JW9heU02a9@}F`SPd6>)=;rF;Gx3)6gkRc%%6p4=6(ainsEC2sqa^Z zuYDP;VZK&S776V6bD87Jv?uQq76SZto0jt@6PrN0)qud40}{=ynDUd|jt}V4;_8<* zxeOHp2Xn6|P=pq@#S4W`Z63SR z(+HxPfE(Fq?E21DzoYS_e4ZVp-HSd zRew`3Ig$IDNUCUBsXLQ~@XTn=t2f9?J;CT~57|-uI&iy=J3H(i@B%A1(gVj~NzqfS zF%}MxCZFUa!b`0<3q7V`&sGF=(>SJ?$-51*7Cj79fM!!-+J%|Iy9NWH_B}JxvX@p3 z{+lN9xB=~$5WD5ad|29(fIC-6#ipV7qZ#3=r9dcxd3;oLdabfhd72!Dx*KbHOL6;F zdhKcFV!Bz=UB_h}asqqq_Gy8~4Gx;}x`e92$!y02kvV40D;(dR_t1rxsQ8sZrj1!f zI@9HkJj5GQxG2x{E8D377}>>e*lN(#NEL(LhL@x_PD4QkxgLj7onvQOXZo@*ni-X8 z#Nx6RUDkY!qD^YL$H}PsfRtcL0)8bmE0sN;v))5gQ))N$44ZEFv<0bID(uPa=wkgL zK+)zd_;q-Zv{&v}Y_doy2eq+^sQ^s_+`&%YyRrTAnLOu>-gp#ykOhp)R4W*W5e|H8IJuBxF45qkm{anns-SqCeNST*P(XA$Q^V8eZGdD#^>);53MpH9Z zA(=n1G8KEs+MS>;arZps{2%>KGfIr1o{450Pf5|6C?;E(vx$3Ew|6nOvIr~>=tY5b^j&LX2t zSr$G+uSZX`IzY|doB<01;6(#AEeiVEsUa`6fB-!?C8sLB=05D*pYco=7q6w`;$GhFCIoV%3!b)Qqzst2o(n%$6kK~eXF zY*v=#P*zIvRj@6Wlun!$`!uF`EQC(OM2QOKCbE!HGKka*X}YD9WPNF9d=gC~G<8d$ zlwVS`rMMu@pso#v1Q6J|wxEwMH4~(GKBT3nufM1*fE=dNp1TeR$k_Yp+UwE;lmmJY z%;Y$QXNW_G+Pdi-IN$sZ>`6~oVVdN(g(uxjgMSw>3l!mZ(|0&bA-cJ2KAWiMQhLgf zN~_9SDWtr!=Y=SjTag_+C1s4jH}yYlOtY%8ewXkpESql4wkE9i0%WV$9N=J*qpoGu zS5(d?%lkLu_-=Oa{TC{tagdo%03mVbzdX&F;wgP)mRqsNY{?tWOO?(<>GVPKG0shQ zJ`3cj@XrhKTLT12dpM8TQ}fHm#58OY=myURw`_bjlYFP2uKbm*n<*ip&c!av-n}qh z_8HFV8W;YWikQmu3aoHvg6`m6cF~-R7m^$|Ze;nL72xC~4OFn*(1-^Id z*W%mWkE3g&t@FjL+DM8|lmSbt8*&|BHww9Pg0h$^gofqprK+v6@hJDq2#J)=iA?BF zIIKPS#mN@oZL`N@jr=QZ)!93#T^c7g-DETViL;~$58bn!yA_g+sYK#L?=MdMaQ5@5 zCna`(GaXtm`jkE@VnE?=3xIY?rtDrbY3igK#+8->5jLr!)rvL35zR?&E3nJplUq+W z!bv5a>v%QIaOHphl$-UII|_%uOJ20DNnoo*a-3(0MFR)d6lO$R;=TRAqe+j8TynZw zV$q%)`kR?&Y8xOT#s8ac{p~qNwqP#dZdulx{ytin({8%3a3QV|^wdu>{ASh z^GAMS#HgAg2+|n?$$F}Iy^gc@7dvVEU0stjU+>Fg3mA4>Qu={;6aH*De^L$t_P0+^ zc_G<pe`hr~Jgp%-Pc?6GQAb$NO&YbTb-6OI%%=ZKNz~%f7zs^FGS!Rz2w%3ev>k^6QHm zI&+xL#jqCt&l!{MQfeW)U4)xr@B# zu2h-9`Ce=meSg$!(X+%g37ZA19)t?HZ<>o4`|%VS%SE8Oe)1Qy_C?0YePX*MW41E z`{}$U066q<7OHpy(UYZ^3O>ZKzdOiGs!iz*egQPcpgI~rf-ACR^0Dbz!bRtc)2aj> z`zx05>OK^H!#RK5uZktR=_U)Oy~<|e`i2BXdiwB8cBov5O&Z^0NDNJTgkn>~94<9T zo(CKvD1tW+7|lPld2>Wh?aJ6p_XYPykG69nS`w9pIq5xWQWLq>x^@ja0vPi?Rd3qu zdr6I9Y;K{x%z%OAMISyxlM{DRa3#HL>}ew+1%2<5nVwQO2H|nj@Ex~+!bO`}w!GWF zWMpQ03{T`M+<#Ji!oCQ#oqv<68=lKyS6-n&OokVlde?k-S?!;oek}Ho&WFWAzE#G5 z`l2ULKN?UsJ+1obXk#IiXEAli?;_ze-)KV6_Q;0W=xIJVo$P~{gvEYfTmnaonuu#v z$_G!cXzNoq-`H1elVFbXUuxz5hMrQHgs4Tv{I6+HDf4d0|8DK&dgyPr^8Vg0>wU5O zW1n?WG&pyo`e&x++L}ZYbR5hXyX_WBcdBL~&KH^YKk;s6kz;OAsgggxzU}k~*M1ta zyM2M_?(%uGQ%c&s$i44#eBP%(YO_0yKF77U&7Pryvz{yktxeswEJ*-fdpY(=EC*{H zq`zyi-W?s~*VBCvMLonjqda%n#QHjusaSBvWC z?JLg9zhlDu8i^kaXSV097h$og!cGOhR$pt{yr6^mn>*}Vp6NyS0kuEvr|EUNu`YS( zXN%pz2Kw4;j0=j}!8~T3dY^tP7?=7{@j_6Y%xUGp_L*IK_V>!`J1|lFE1X!LvYqQp zjmh6}j@OP&&)qRFJ6?b?hVL69m zEYRQ_bqnWkGbmrwFQ$6Y^oqGS1u{G1BYrWGrG3ZV=%c)5kE1Q2b=1y8sLoS}$akDo&EiTYVBQ`iGs5P%1|`qy>Sj9?U!So;Py0W$*dk;vZU-G3i6}R zm8VpsL!$KBBJO+oi^Z&+A->O=x4FBTz0DpY5pvwZ>R*nB8N41Rypc&@mvts=rb>@a zYnp{~?iH_$x9B1yvHQiSh)Dpjc`a_ydD}D*aW=+VnMWHXe#1+GIvFE6F^bEa(F?B0 z?D?MBkuxSvHRD;_e%n}ot7nZ%<||b)s4U7;Ajj}|>?O-Hd|F*-!`-$T%hMlvF&y$4 z|D?<@$+CXz+8UzD{!JlP200vEswpO?T23^()%MYjqG^orxcUMHO^d z32AyJW-0C#d#53JRa{IkeyQZ=`E@@A$FQA|)z>^8#M_QpR&V!RR?!KoE;7*)yklcR zIzr6KODh@|67Ilm+bTXkCm_=Dp|;?Y=5dbL_max^KJ^T}x23P>YN|bKnffGVeiFbU zG&b@Ugrm5)Jlb_7y_aB9wjguKV|)NHThQ75+0ulxFo1~Q4QD2}WOs2;$5k8I;VFQ5cnk>loNaXSk)&1%aJ*9K8NIC6i#IPH zba}jsr=+-!w}Ns}W226VlLZ}{KReC6RY6UzL3;~@=(64iIdNwZ{H~FhlRs8_nmj6@ z!r?I_m26BNmeqK1p8Mh{1Hlrn*+Bb|qhYB}@JE4cvhwo%hG=sThgE?buY62d(`O7~ zUWFC>!p8F0+!oR7Yz|pn%ww~uF9V<5CXjBEVL&+&v~|jJAvPhVDF4olna#8>zbL1Z zwC||*d&7X$d{~9t={q)~`njm8=amM0c@Cz2T!kX+8#MOc#0Hw}1P_}KUJ~*hN0h3z zhPHa9#b8+ov&YMV(OtMYk~~SIIeWI+5!3SsFPX~PhLRLE7LrBcfi0_?^hGN3v8A_xUA-wp&+!*BoK=lbY-Cq`F8oMubVcO(39PQC zQIcs|FC8B9-pW0}Dl|*=|zagm{sA1m8Jhv#FCcEL#nZUKI~mO4HC_`w7N zG@evy4LJFgjtvUekw#QiI3)He2fW>+(E8Lm^PNf#{+|wQ;8sf_+h>KSlL4QpL6+U(_q z@6`$NZ*f^HPzb6sjUn!1ff|)>gEaRtUE>X8q7tTL*CZ1adk5__H;oPnc4x~cCGjcx z>(!s%@N35W5Ke4lZ~P2MbLZp}jwmqE=#uKkPZ%HuVNPn^vk+%rW4_|h#BY1%ycrlx zh4`&)T<))4hqH;4@=Y*zg?hege4%Vctkve8;kr{uj)1|pq<5igpohN)(b?g5xXCJ0 z4n#@e?b}0@z2+t_9nvnZKB7OVzR>eobwF=QGA~??jjzDSBmkj-<824!B22wJIY_q# z+>dSeBG1TNdPHk`YR;S~V4Q^_WFuoXXXG52 z&nG9<8gC0_|2lBc69UbXl(Xw$JRa-uG+6pGBifiM0d`(B(dw$E*~|!-L?_{6s4%eS zt|0QKy@n&xFS%zfK=$k#<%Uh|?R9xE!RR%4jkVm~5pSjXKdWXvh@A5T1J^IQTrfzX zz~uoD<6X&36NAT6X=%#J(hL2H8l;NR~6>Lp{j3hl|xmjAI+ zo95Hh4E?Soda>c00f|pdjWybr1yuJ3)2sx3Zr%&A3-r*W6V*fG+n4LBQOXL7j~sqwMS`4UlbajRZ_apzFViG5 z*i8c%sxNDb8s^HY zOvG~%0n#Fhr)76a6+O9f=MwP?kXFeQBtO5wLg_%igkcQbA|CX9$<`@rTzhoLi{ex` zJ)kpL9_+FxHYX@guzqle4qKs{Eb(B2`Bc90nBl|=j+X2cKw&Xto2lcBa`2$X#rHA~ zz}n8F=FmZ5&zG)23|(aD!v#cTUqAocpo*Z2BEjIIFI|6|$7?C6$2mv2$JpV(7>lNr ztS2q=40qvY^_NPxgUI-j(nbmZscjCdCmZ{riAp`iRIqG1f$}qrGpl#7zLzd>F|Up_ z#5YTO8Z|Z;>HXhF%jARnY?i&HuYrR1*gTe$6idEKOmwb5~%F4j4rc}$y->Ji$*PzY!0B|XruVwG&d zdgT*y-aM5)b0)_V<)k>t7r2`vC}Zr|Z(ZgKc{4R2bxG9CVX@rCox7h6*-TdRG63X*OQX@v zS?z3Pk*G}4@tW z&Lq5mXk(%_ay#(=cJr5Tv@Q*7((H>>;oTQmAk=$-5fTPpJ$1UWEdS~##2nE z!Oe0}2FeQ6G`O_r#er3T-7S0C-vVj*KT!uy_zRmbzhY@y6v%L#0EFTb)`N z@kO1uO4?ux!1jep$t~FlDyMNrLlQbQaWSY$V~*rk%%<04?1)U^nWbrX8mcfsM&qC` z&qTnI8J0TurYapNt(CL=6p!v;Ov2oy{_d z@LGtS+6Y=Txz%O*&ohk{4-E~x^%QL=2hH$CiOmM26>U1-qQ0(rJfjnkEqbr&E?fGy z12=BYM0h`qdopm^LG%R;QXM7OGMQ~ofNHD=${fnSR5WqM4&$Qab% zcF@pP41InqL1s>#+H#!a3O4dBxr^?3)xlu=$TTcL@qI|GdqQS^|JUjXV^}ja+mrLW zt>g15uqL7&$EOV=n_$Fk$cme9zWuIqBwz#PD54W`1OO#ZR_-K?bnrGZFz=mGB z$6c0i_G~hB;rRbibRLduzHb*#A|Z*;AXbbf2nj*#y+`dmLRAy1R$H@0R}y<~wW?z8 z+NDE@QLBn-tJ+_SqUbVPU0<*Fe|YZay6R-ZAkn{tFq6P;~#f0j^nA~tv5$(^|5eaJXm zFw)7%0(B36_dInt4d6$Z*A&3&i~?n%tnC9YJnsj%7}M3Dz(Y6?)dxK9BJ89)+(05O zpQO5CjKz8F%pS17V7uS3sW|p}eKpf-1%t5|TN~jFTrtaOmwYvpXtF>P@?aqF!Fh{G zt*HbqX4&{i#sv_Ro9iy<<89h{i{H%a!%?3A-i15fVY9v7pL<^D?1t_Fp;PdTNKDg} zwHN#rY*&m-bBXTx#=+zIvrAtVOlFTOjtC>27gHAel5-KM4vfH=HFb1 z@gI+}_=$IXGCaIJvZe6c-K!KuvT2BFi?}~T2X8L6nBW(fus&&GkmO+?&1n&spdETn zah#5CH}v1(-Q3|n-;uDmGk-Xp;BK3!erLjAvk2>&jv+XUnXezfhg^JE_seP0YoJf< z<%=}}%k3t_0#GPw#=|L9)uvD>Cs(+GMD;{O53<4+&2M)*>RRyMM%l2|zT?^pnBrVl zP}9-W4VwP~jX>HFKK-ot7&%Tl4dq!V>8B!n= zU&3KuEx(8qjP=g0G@JAB-+S(?@86bG85`VSw^Ou6w6aAc{jC982j=gXrYd&>U%as- z5=|5hS?xPxGBqUtJy>I3(i6v2MCCfd?;PgCGmH1TpIpFN?WR8hH_r{y0$;M43d&IvHc4o*>D?1zX~_Q7>kNNDSh_#;>9* z>+!CI#M`*p_#+QGzHjh}`MRrJh4ThTWF9MO;oT-(x(}@o4Mnp$0W#y+!p){@S1t)$ zH<`P^CPjW;J`QP2;FemfRQ57+bTzhr4v@N@i@ZDHgd0Yfu8@S!5tc1C$@Vsz-x$yN zEdWQH#mBpUyC-b+UCA?!2F9uGSi#K$-)FGCHB_P}aCmQwF6uc>zB->$D^~1b+j!DbH6T(wA<`hfR z=Nqi<La)W&dbsSn@;w~{|8pF}j3&0UiIwty=r z$EA1&pmo%dkCfbt{*i@Ph+{4|{J?w#Us7lY#&Xc-!tFoF4j2DrM}M%yEI-?SH=1MC zNzU`r>9Z_p>FXMK(|}07b1+BIjkmi_nfW)ObrP91q#s!MdzqNDU12o-VrhR#>@GKv z#t61p*b_Bd=)uj1mOr2$rg*hIQe zcy0<57xrO#hiGg&z4J!mZpbiU=a+m$9ntfQ1<#<4?fHr{1VbMADmfOE4V`l0`38LV zGUIlYI#?y}+1#S^Hy$3h9#c0Oe`>@^f`8iM1k1XVi=`r|&0QC-Cr0zL=Ukp`4%;T_3n0kbp$K%Qyn&o& z(p9PCIsz*h84*lNx7utI{}F>?J+v$4wSjy4J)fJTRk$A zo@R-pSl>gHC`%nmE@G(lZ+IemRhC|SpF;}F#!ovS^kP7U1y)5T?^L-r%a2PJ(hSu> z2jc3)pR(d0-`kyq#ZjZh-R^I4hI|$$c_!RibFgI^mnTtv2cDy0{k+GV0vBQJq^?v* zkve&wlKE?EPwKH8=`4sJ&N-!9VOZZC5tA6~S}f<mLuiC>-idDj(6 zdho3y@X=k}lDvTJyoY{^UWcyI&-ry`a5eJ3P~bE*Y;UDe*Tsv@GZf0B`vrqqO~(w@DC!Y*`teI6gV@MB;Vcb z*VZzdi~ZQ6B-~LEYm{|?u{oOdvZY<3Bu2l4-s3&K0)FW2bo{604$%jjTuw&YTueHp zG&1{$%eQgZ=!(>qoWQs8cq+FBC5E2=S-FIbPtYrc?WB#C#wrrHKD3s=M~e+8vmc-i zaS3D**Ap*Tl`y$SH>)pK@)z~3@q=rO0E(S$G!F5m&eY(F+B$M$Ve2OO|GShrz!jmW zIEZ*-TAr+kuXpTdahA|Eu*h>wxzvi#S2n0RAv18MO9T#@iCj)_?8Z0s%>eEpJ7N_JCgTBai33D0`cA> zWovfM!j9G47;uKW$UxV#Y7jShlSTT*@Vmy;yhASBNnt}&ZVzIBKI%|pf_GB1CJORKoKw%~GHDlR<} zD^-t*$SOFqwoqfHs1~}KdLc1p)9{V5GyAV}Zf%J_@G>jYA;|6Xrf=ALgmsOy#5qn_ zUgeiN--dzQy-HT{iOMro+-UOt=luH5H0>P8!N?r_*d@ohtZeJpI`f2*Yah8N6xvD# z->Q(pZSk{VLtHii^pz6tC73C<7Ngjx#JhsWY+JjVYl+Xkw=h5=CisZ2Makg7D$wJ_ z-&9b+Sm0=@-9mfR zlX@Ko8)dvucOa}y&y6DbJ8zevN&X0HiZNEJz+{NGu4=GWa-}_U(oe>Q;GGyYg^IOu z4GN1Zypo%fj7ioQq(O|1*vAH5aGq3=ig+|6B=vTn-D^^UH>sJr;MrDsj43v*WN2E7 zPtbj2Rj_Z|R9bU4^~EfW+wFL{Q0Bll(FwdFSexTH=M~53eH0+#U5=z+XcdH&692zs}*-1 zbUrh9Nl{om%VHE^GULFi;+MQwio@U{-p%?eZN-3)J<0eOzdHECDwEV5&AaRhoB9ny zNstTdPqPP<#lN+W9N%s4pW|=eP(;uF)+kNrY zka>oMwNnU;VQATWf!N0lAurd!GyvR!ydZOF#`2vEer18>#)K5jDES~r63uxe3E{>r zEKFXruiH%L_{k>{Isy_TZH|Z{c2j@#Nd(rVOiSvnq%!mzPG7d z6tih>khkLMC*@0gUWgH&pm5yO_v|5FcVUkrjk&MRsm6{E^3i!{h~K8dVB!joK!Pvi zQ@+n{T^4GKH#1P71AHPp@m?>nr>p}PD?LccEy5(RfSn94vM;LtS0i5)DU(93)*Pf$ zhtyAgy-^_ch?6TlgCr@w3T4;r+CzTWL1Ys;Q2(3wqAu&$s$IjOx5-nk-0*7N&%)QA zw2@EP%t33{5ET}oBiObk4#yEj(Bw{nluMG4wuO&K6?8=1NlKoem)YSS@>D&*knMQD z)Q#jPZST%3>S=iSL+d2BL9f_Nuk(x$sC(vkS)Hn3Ljeg@PcLdXIZt8|p7L^lTY3jZ zWj>hO5&IT!HYcVi+-Ak~t=xI8wpn;l%#8itwfts_2)w~LcXZzPzRbMI>G$4i5`6t5 zz|Maf%b=6M~rz{&|ugFU6CnaiszV^;;t79pD_F5GBeOZsTU7t}Plh?E0t2r4Ca0)kAmu#I<##{gwy6eIi5m*n8F_F=9v9gm0dtaC13#4i{^t zMKq#)1SNt#J)6)fS^0JdUq!(x2kerRWu1e95r_P#)>ZX04W|ClH@B_Mk>Z`SN0(Wl z_IK(2VXyr9ZVhr@DqR*e{%Zsa#J?47uz$xq=#^VP4z34M(-=Nk zYKZipVsqa22}&*-g9}f|x=ijc`gletD!~xyVgzmlHhNJm-DGRLz5=EIsHRMTtcHDM zBZ~$}>VF%eq4+HZO{-|eXFyhq0}L+kyxLt3oZtE^;ixS3bk z7!?tLB33KlP%1dxM&rsbgvLB|zD5H+21)VrxjB?FFl>1R&#i4F=0h?RV$V|so;nOG zRE;pHg3jP`f}}|AdZ+l_(N)GJBE~?2L}2_jjqlwc5`;A&vinQ;LNtm0%@6Z;L(~d@ zCQbgn2|Ij8XTsV7ODiLC70h+?o3%=P3r$xp=Y6w0b|V-HjG0yXYX6sm{IuLQv(mId zgWOyZv62dzu~K5Nw-&c6&)7v+QC!FU_mb4`So1bG)(pF*O-{9KQ@UnF{?t%)%T`mCun!+ZjKeu z4E@OTpHDrnaEAL2Un8d^e+Lsk8lS-$GjI`GvzpS|Yb0K@te|Xy&hS^IWnaRYEn&im^A+N`CsR9 zhG75+L>Kj1xz~#eY#0N@n|s39bbYYUF3gU2vm$W>@oQ7W#rBlrR|BlQSYDQ#fi+4h z`(jc9pPivaok`=ovb=m}%AhZ4X@$?5TZGnnzisNT6>X81b@JY8u~s} z?g*xIFVilE3R8uu+6)PKoqVpfj-5v6@(n#3I-xvU7?1n?{_Ah!{r|n18t(g;j!Fe$&$OaS|@&1fRkTiX#C9qD}C^(rLk$LPHz|L5P_!w!iA%5Xa zyxh#gWl3rh^7B$i-iC>wN8g~wcLHccQaZa+)t;on+6sg+DCpC0$v72aiZ!@~MG7P# zYuWPNWB9_1#16vPpR8zU8*ziEIu`PLmGK_UaN=Do&yZxA)j{rn zr5|=-PVKD$QkqQ8exf0PyO)xrN@>l`YhrrSLPV_`U6$#Y-2v2 zbyxFTJU0Y=9>@=)+&wb&>XTBj_{1-6EGtSE&lo~^(No)jz%~G00{1)bso)_>_4wd7 zF;VSnxAa=83+t5QF}0R2odIa0@CNVGeV!^vCljZi^2&x9yi*qr<;Y1=F^Xu)Txtjm zU=tjmvd^^2DNCyKjoh2<8PjKSRYuU35PEGJ7DD&uefZsmxmn~(2IP2d8!9_@$Hn)C zlKEZ1aVvuFDPjRsfmbU{#4W@0=q(VPFSu0zG^E3Q**q%810toP`Fz`R!LJ2#UeMt* z)e11l;~yOPmMBrF-Zb31A~;U1^P=j?4)Fn~uy=I4Qi@)SDLc4<)M95g%qIJxR1qf|m_|__?!+@7GnS$($ zVZfBwu~Sj{yIh4YYnXv<*>OMH2L%ECt5QC-vcZv|%y9b}>-e8?cPA5sg8{bxi~%f` zbE&aNH~sNJfpGC);_K%B8SW=On}|{Mmsx9-R`pjqTlHsbS&hn&RhPIcu&D50wZ^Iv zo`Gf7VE@~Yp?_01+VKqt*f4BsFz&=yf~cUJMY)Jk;v)C+;yST`ZAxlRYB%>Ys0s9A zCl^z>1AI?SsGfD8$QghU-o`X@e;3&vjNofvQPTOo{4{GooGP0%_if)VZJJi!+i`03 znY(T1*WTPv%f-#{y}s&4SH1Pw;&nzIgt!&XF#)lxd=eX;`NMxD$}(^K9n>{|%RU!WVB zHS-O)a+8>lN(y%cR$pS6uLg^qe=cN^e3u4ec%0#Tc!1XockFZtJ^XwPloi$OhjOmM zdII4plCl&NfBk-(-HVuv`oxmuL@spF%2#`pQ9^UeoUCPn;J|I{n2)5gIFVC*MAwH2s;MJA znDot(=4mv9c2(xR#me5>to9r;5pZFrgk8$7{=iG179U zzRMdVWeeP!*1o(oz_!pkX}WBacI9U+O7g5`3$p+y(rsG);tcv7Q&LwlDA7U5sk(WM z9%ToLXC#efMd%08OiS?{99YaM&lL7jEej6rSl+mpy7L+*QmS<5M<)s4N{hHsKC zdifb*x7uC}>8q@0w@H>o4hb&MMcbBnxu+wlGsP!;B7X4lz0kU@s${Lz5og8Vm;Ze& zAp6H}zmhu49SjGts90QqF6OpOo?J_EKeE3NlhpI}e+}98*-!0c%o49Lcqw#{_VOAHc=K; z$$UAkbdJd@JH+2vV~@(zvD{EB-r$33bm|)c1uT8N=Hq#51`X`Fm6^W#($n1E3ntrh z!E4%0!g*g_m|;>qzQQfcrgjV9I_gq3f8nYU%h#*`@&i@u!P&0d3|DcoTb56tKf^J@ zhvYiypUCN$z;KEI2^3vRJwqNV0-!(JhJ;l8&#(9)kLT~>NlT~VGa(mlIEg zva3om`JWb9l{vqi{Ei<;zNQerBAfE1FR@a5NJR3R2GEy%d@1XNuO=>d=G7$83iBVk ziB9MCScs9~15b8;2NZ26ukSYm#S=XJ(WFS)AfWEQs_W0!u$*hmmG_q$_m99{gXn~6 z%5{2*!%4;Ce#(HaNlRPNX|B%}u;S`EF33};Z(cb3sH}{gHxNKS_EYuTFtr~J+FrU> zV+IXcelR(tFK~u;u+{6Hvp5Dzs+l(lz?gk44k9+NO4;j&|K<%xB5nvGS=53aW`~_YM#!TG@6Oqn1)HDxd-m? z`VGQ+jdWthd=!$R?_A=($rM-v2-1MJ)XEGSDs#V#w}w20Bc@R`?e0aR{Ff?Lb|kYu z3__MEs1zHao5Nh{*=N+0Q?n@7C%%wR5Y!Lg3*$^PF{v5KJZ*Ne4ANkl7xV<}Md+Z` z6-0!Spn5D5anS9X+K6`tyJOvEbLuIBck4Wl1K@3Fq8h;1JScrv#yY+0$t>=cct;Cv@)hs!-cRw*ryD!jDhLuL^8!TsPJo=XPj}D z?U3?!c_O@hOj!p9{eCXM#_sFaYqDV<9+E*JI*Dcupc8?XDBgTg-0NOAbu@8FcB|Qa z?7G#%s79~ZXYOshdR+HRmF*WjefJA&%sc(8Ct(mzvr^kvdtMXHMYZnth?4=+fhs2A zVsGk-3Ub_7`OO!rG#^8q(!5$OKR?zUvRspPuJgF03VYGbVJB*HSyS)Yn1n@<_T6p2 zm2dj55ORxtZ(S}y#N2F_-y)R#=;>!lb$O=wUJcGM6hDVaOmcotmB=-HJkrU$vQ#*4 zP559DHIg(8(YULu+R%_8*EYKX6U&|su*#gE>`$nBK*M0VV+E3#GC9|cht==)Nu9Tqb|r7y0tXwt3i~{MX$ShEEOLHJGqx9W;Bnl{pKg$ z{8ea3sXu@$cHUG9cc)y1F(4{1e4TBtFK(yMuV~c&vrwBt?W=%0^dBWS<2h58VEqTy z1%O59@@h!bNYV6#JFdI=Ct=3$YPrR34=;hY<0>X%Kf(#awh!dPVfh}9c8ule0%I!e4PCR z7Qu;aGLvhI))9Zzh{tT|!WXEJi-A+isR-IV%<#L%sbArsv2kR;`@IGCr%7ifeG`k@ zQ1@*K&rwkfyjsmXftMR+GPny~zie726xB0#F7bf<4HWk&bJby8X zD%z4Q>SX*KeciRoStRIPFY0y?bXC6YR&SWCdbU!^bJsOFaou1CMg$q8%KT*sbBZi; zc)85$w0f#&TpA#Z8%Aw+nra*pS?kWR)?e@U?UWL6LRB= zbE;q;6WOI{bS&D!OvkscqPr{2P)*cy0nM+7=i|mW@=F=t_LpmXU0zzkonl(t{Ml5Mbg?wVVfrd_?-6gwVyeR6 z=kC&zpH%v0K&qO>tGXFd?crKJ=a69s6zzUJ$@b zd8VkB0JH^04<-@R*|HV&ssyWYhB>$EEED);w3KHvRR=64Z4+gMRq$p=&7ss|&jJa} zj)wSf3HP)n+*6JIZXBz3E*i#>w}kG#njf5Wl%*M43Mv(qvavO-1GOtyNP0P1_2gP#J%h3x{6%|({MA@{2EKW zD85I?2tJ_Gs!QH=6?M68BjJC!V;A&=WLHMVLmBb8{M&|EX?|3LseV}frXicsjQS%H zSu;3|o@y%vLXX7A%BNVQpZ59%vr4EA3E2gCIeZa0qxnL8dq?8UqvJqWQOX$s28k1Y z;yBnNL8xUo$61W6qb%Lm+pObE+e@YU!cAso0I>wmP%hJk3^N?cnoVIyTHX1#NWT6q z4A?g;^rm=34y74i+;4=spl&xdb6xS$(#Qq5quaHEeu?%4#?w!bX4XfOOgchFt4b}p z?2^tHUZM%2K%rmwh8AllKRY>gi9e%Khn;P;m8_8o+g}{B*TuO;@t>v9qnj zo69L8^omRbB~v3RDj&VMa22BA z*QpvWjts-gzSxGuFTc6iXB?KmR?hE3u(tgXEnF2d%uP>Omk8FHN}q+OdYxcu79{4b z{T>|!zsa(fO6DHO9jdqK$Rz82?C-KjQRMD{b>FXymKo1aZ0mB5PYg75KK(^yTR%E| z)aUzB?)p3M25iwLXs4Mul+ziL>h4z!hV~`!-!!@yz2HWDJC`lfJ-&e(UoOh{ld3dA z;0k>tJnLBt^!Wj=ftqVlQ8IZI+8#xzO=ttB?X| zb_?E`sPF64X9xsT-c0=v&v`RU`jI4)v#p(cz(IS(prF|WmtX5`#tYQ$#lAmqYT7j` z=RK9(L#UWl`Ql(aK#%Z>P^=paTJu5a`ddXUo9UZyOd_>-jI{P<$vR0m_nK&kil{RO zB5@YTrb!~^8--JvbRHLb$*4&pM@t$%I$IwaU{XJJ%qp*=0 zWfGDQ9Ub@FkZiPbX6OXztwDCVeU;vhSXv1*mr$3DQFQ49xhRwF0$_{nAPf%ujRN^V z;~^Syce`p#@|*~XFxQi2$bEF^hOJu8vF`2mSgJdmpTW84riAG{eX)xC!;#}Fz>ALI zD5h}DQn*S_*k?2>%{A^iZvYK+PFRWa;DrvqE=PA!aDb*Lb1W*|P&|w+23=ZT zzWHU3kal18Y_5J2$UfXi05ymJ2nr+^3hWE$_p_*vc!{k@;!b-^!V!GmMc}2xt?3-W z>-1Z{?%$dL3B8DrAD5s3gu;0b^kI?G?z4kf(H?+VKY(M%5MliZaZ>W` zK6U~O;6!$~OXr2$ysDwmaSX0qfej`G(Vj-boKI`BuyhBpr&q3-LnYYg*WyMJ9lK8M(=AgLuPqYJeL0M`1erQ%X44gz z7#RkdD&Q^!aFo$F=}28dQTWGo+eRw?#t7=I24tyAVBv*)uA{)dL*{oq{ZlUZ0l z2H_$A??%FhY3ykv#PH7D2N-baRsm}WJ2d33`9cF32p{DONf_bo*wyIh$gcK-{Om}K zlj7;;hw{)1oa+mo0}|;JrKv$|A<1GTNZnQ0ik>WKf;%-aSor)t=&=K5oEp-kNX6I@ zvH(LZftB8)WU;13HWG2QJD~Bx>!d-LhObe=L0o^~wNI6>-W_mdpz9Nd1dn|#X|xOx zaPI9(SarOYAf2->OnYp@qkv!*)($rYaNNPbtGYVhFbyrT|ODF_|9*c09#Uz z5mQ>iyDoCWtNiDI!ar3ZmmDvh!l0I3lue~lmZ1h57sBrTrc8E*(Q^fblBj8M`YU`y zq4gjM^BUYBVUZw0^QHH7uAV-Ausux_JL zZxVDuceZkN9Sjq57EGe`YE6z6SMTFX2EB3`Pdqb@S3|H!66XK_GD}e&mF74-8W3OX zv!zz^s$O@AT)H61|5mcMtG{7L!oD@=rXSYvfse3r7{tjD^jSKSjVuq3z7O3HWdBL2 zhzlEuE&n1!TiVIGZ!Gw~c*Hn>Uu8v7vQ7cOCnDLvY;lY@$ZO7Z%h@AACrQcKJHpS| zPMz}gU22e(dkO)srYqmyxyFHViG{v!*%ub&65V zOH9ZbbT(fYpB9>v&ENnWx^^yt7DyX=tT+gpgdpyO=~(D!zpeEW4A+jJux8gm&LQOI<^*XE@6G4K5H)r`}x^NxHZlz)KlR?19tz24Ao*{0qPu zHY}F>g|kM8vp|y3f1p`(fFQNQf(tkYNHzj_ftFe(*L_%{QYC{q+T)2{ITLj!meIeG z%E&OD>1#d;I4(x9H+KPg@v2>Mcgkz~Qf*V&sLxUl)~5sd2#8q@(P zo`iAPXGTN!MIJkPqTU$m7g-zBYt))+RZw82;jq@8WC-&fkKD;)tsF;Z5j0dUQTPFQ=A8}s=#Nbx@j-pibC5BPw3tQfpD+a z62g4o%k9X^NO1HEv!36YKbTsB%k0nA*gumJ^wI(?e~ClFb;w8NO$~L8)uCeni5sC@ z^euL$G)};Dy%WiMdo|)qPmW{w@o>*7>Q`akQKEp(7wV8xSwE{cR7AhWCv#0B43{am z(omkjyuZ0goL8peo*DS?I4&6qQjK8L+{^YnFTR0LYR|G8Idk?H){0{L+m~(>P;sqJ@vn7QT2O z@8+o)KGrgIM=HuX$Oqz1fluTHwx)P}8%lI}eJ}YJXRLo*EI-sIUvi0>bSrx5a7dzT zZA^ud&_U8L2f@fbi@%ib+jQvO+`ef7M12F0q(zKf2{?SBW;7C9;t*Pne0wF|+VDQ2 z^;}8upcfH2b@gg7{p)dO1@4UeHJ+!pdGi`W$2B+x0T-=4f}*2);5CM~4gbd(wZ*Ag z^H}J9i!uL-@@13^(P>V$2&51|&FnXZ{qVCthc(<=EK3F&4E2}a#5#Nv6G8^e!`B7L z<A5w_ z2_@3q7R0xpI+-~wS?mc)_G;^NV)BofNEdjUAzNCZWHf4kCtcH5lGN6|c5=PV*|7ls zLI+pq3c1SCwvXQ^n(+;(G*6|7jrXNDQi}lTK0S7tI93TAH;9}?$70wXRJ8*Ito&ly<$be zUsrAG3m+&cHRRVp2 zBz*{MH6It#`v4Pr!D~+Dd>lq9wAJG3BIx7({^#^tk4_Ir@r zF>e?_s#2%_lyJ_|Pyn^QGg2Y|$X))VQBLIBPQR^}%>wCsGVjWZ_mf7u1fLAtxVB47 z8BG_sn;PdPXOSZqL2d`I4@+g(McPp!UQ9fz({!lp8>*d|#}RHf6+DbmsjuZN$|w|q zf45SPJMbiADnZ^9#O_lp#r98RR5y=8g^TMhO)f-occNH2;q^_%R{CDT;PVG9~WUSjs{t_c@fTrPb_}2 zyk~y@%AsYys&n0HYtHW3_Zh;IafQDHq#Rl=_uTxq-Pcmk=lQmvUt-ZtcsHi5$mVDF z+GH&b;Fp>8daY5iNLx48JP9@)yCNd=E^Ih4QD_^?o-7+jufCw&l2V;*wS_ApuH|1C zFuEQIDYNhWRm1Jisx}gL&&xM0A%b}7v$j3G<_bO)IZfueNn@K5(B82#D!!#)lK7YQ zYF{&du;#OT^yh|}N~iIy#7ad@iOn*@0c?2X<@d#-Ts9khIS?&P+1lwnMgyek_`G)t zv??b|n2@jWuG|DyBwbG87F-q@g?O#u>(i_!cN=A_Cza~Td5Q8vT^wzF#um?f49#U5 zs^WsXYCBh~RO;)U*J4@nh5t)%sIN0 zkxXreDH?2}^xEsSIN^1{nRX`j(Q@ZbCo1XoR;|rJ@b36DaeKVVTh2}{^W8VU6J0O} zq*>m5~Dg4y1zVz~mRZ33vEWk@9^PjyTMC;8Zi_hVkJZH3>0YhBhp1CJ{b ztS!1w$ry*NmE7fAs=JM$Sq2ISZ48q5k{(a*&IposoImBDZ~5+NXgfAIsLLd1WqGM~ zjArIaBrXV5N=0Yk=S{AyH`Mf1aWpAaG5j+cRo_~DZYkI1eC1xoFGUJ`+Jqnvt}Yd# zhu--hJU4piuYNk;6r7G3W_Nz&G1hsjm-uMxcT#JEB6fD8^3(9V{i;N`HIgs;fvnUkOmJRDLeAD1gL(XroC00hxkXxhm(0K!R@Z1>kB5*bCC0L<$sR2qjRyxk zkgxLVFSK)*p8M@2_C@7xRcp4I<=L5eFD0N{pAWmzU*WmFp0k^B~!RNQ1`U3y}*o1x<jomh-bzjwe$d|H5Wo0CNF<;Vyg2cweQV`II~o=lfs4oxKVi-J1UP)erEqLN7X#2DX1(Ch0M>?w=o z@0aPA5wmU|m>Ej^)P$-?Mj=RvqDXgO=Qp#czlac>M6nDx_yNAF1JU!ez_~RtYPW z^BGpsp2vzSN;EChMcv4H9cB>hY3bD>_J-xiEtt>++Wr$=}QndclvGTQEZ9 zUN<5XI4Wxos08s66U{(#ob&^Ur1Bh-^U=XP+3${1>mwZU6YKzp==NnuK#Y+M8!W@< z&8(op4y0@q$zf|q&7TE`an9G?dja$houfa+*##EZVa*86fs+jZ^)F)=zj?mVoUB)^ zc6Fyi1ZMU*y(-=mQ6|&Kqc#D`*LrL&E9c+u+vca#1wHoT3Q?MJZo{-A`8`W{R7*S= z_sx?^4@bw~i(z*GYrCoBKB(s9kYV*AX1h+Ru}=@#T;7xlwNq6_!qXNUY=o4r9(`7C z?RXYbD^yMxW7x#4H<e?Jw>JbPr#p;&(jb~B6v6O_ zI)OX*_?azM*H@H0tum?2jTn14@M>|6?->1Zb8ajpM^SuZV%GOb;K zq0N6>Ue(Q}dDtbo*mt9q@=$2m^J-kAR$_R5s@#Wv^H<+WZk!K1 z=Oyj6FZK#y(|Is&d*NoJe8(NeQ3?nZoqBLK45BEuxQo{Iq>6mlbU3M1DgT#wM))n} z>76frGL9)9h5I(a3O85MVlWigqUJG=R6`8{Z4+cB%St*P zXkfSaiPbEeE$=yg?V)90mS3W`Zk}Wb8J6~1sUiD`r3C3c@`Lmq?ys;{a4YppNc%Zg zHlD-4|Aj+dYNv&RpJ9XzCzcv1Fzc`S7l!X)Yf-{rn5kbrBY-_BUtb6}tsOzW3+U{*46`0<3_ptcBt~K$dmUye)_qUHp zCI?}$Q;J<@^j7D8mrkHBQI3hHS|5Aeb}8>?IaJ7Ryl61LxHzVsxW&c$R4-oiua1Mk z#4cA>3fnIO)Tk#cIsNj(X5Otvh=Fge_cG$5nfbXH(`(@gPA-T`g1f?6vTmw19xE5W z9*v|sIir`dTFXWBS8~;BrGyuNdj4@h#H%$1zcp;CgpJ}rJk3bq{*`hPAmjMMy^aJd z7H7T=lZpG2uv1LxZ(`$;Y9eeW+P62^ZfVue%91g>Do!VmQG}}zT<$X>#^JU$GTEtt zEz}{i=>ac@X;_`c%t(PcLP1$EKrj45(YS|(5ir4&_!GMi;Yj>pIH>tCLDB|VWWmB6 zBnpf}Gy_%7wzJzDH>Ab{Hdy8-G5ZS2!m^~_bT937lS}V-vIJkYq}$-mMjKG%Mj ztoRTi?(>HKGquS3;iLP8ZQh@UJ%PR7Lyi7O1y+E z2^v;^-Cixc$i9~X8L+(fWTJ9wzxP-0380+AZWBxy2ZyIX4jr=hccApDvY5sW^zLc2 zRt}tZR6~g}3KvGk+atXdE`xoWR;n~uiql7E7{SLn~T7IXskR+AiBFyT}8HcFdA6#jR~+SPOCvy|ISZ> zZVLRbtTzvM53Y)g`jQt>U3oJNqL>PiK=UXsCXt~auki#MWa2(DQK5f;OirqlNdD}6 z&$~wBR+&-+jb7Xi!O}psVevMVLg^hs@nlj}1Xt>C(Z9jc(A^BVVomEob^~i)Tv;gAi%*qFaBLV`_&W5)u0-MHIC_A=2N#LjkBg6xjIE9SW_TK?FMrOIiB)&STdU;Tw&sBT+8c)1t zGHh3qUuPj2KlpYnMa$OaKO+*l0|ac4ydBB4&<=8HNxZUymkw^)nZ;`tTUHG=#cs}a zwZrAus+CRiaD@5}B}iyaLPePCb7<{9K+d;PUS*woH#{G5$0l`Hrk+B;^N zeYJdxXZqx#{Pe>|1C^7*mEwlrj1L6y!LW=E!lr$*{2%k?MkpgE`@hm6t_qXI9LDVe zlE5_HqqzvjroL&tgN|OjXP;!PhRnq$>OzVu7VNoDEIQEH-lA%>HeX8H1;{>=tm$Di9j` z?PH1;iRA@=Gsm1yll!1ZrEG->#+4k|V`0TTUYg~_%wXT#y_CeVe_2@H(ikdpR_OI~ zj@U^-oJtd&iRS=2G+vfB@wH%gw_x|}L!-VFEIqU=6)ownD&1|!-%eN2f`Tl5BPqC4 zf$DiZtby*3u!R%M=OB?!$I^5Pf)Aq)pfhnf440;E*<<7**T)9clsjW0uUnY%YS$s| z!4NWDP5+sgTYR1Hdf^Q-J#VAAkBL@3acWd0fpc&8h2_0RH^nc=a!%*q{7BWV=a^Bv zDp!m%zvme)ES}QNYZschdvWJ3i{FFw@=4DmSoT~JIp)oWl-t;5$v9c`I^}%hu7+qV z@cf|Ej1kJTEWWo1Kq4fbUk3N*%4XB^QZ91q>lxii;IKUyeMtB}iq69=>Gp5Kh=_s< zQE~eKg5sXJD?r?Plp|BbZD#J&tVeO-#(^s}_qJS_m6amS+@sW%D^u%NYF5@$`TG6| z-*Mc>eczw!Jg*e1<3}uD>S)|!L9WsK|F{Nzi3zCNL@#>&Xm&*3{V4wfS64}jV*L>h5CH*Z6-UKXjhk3@=ln>vz zaWYATlAmSNAVXvzX-#ICTLn5d)Cs#LsZAHH9kebbB>m1$jltotVHY^2rfZrmSC%VF zUmltfy<@XJ>y&8JR?XR7!*lV~{ePp1+O?!_DU-ZW_6bq;%)T>Q_K4)E%8@>gfW)ls zt+LhbS%q0X^{*;{5@MFZD~@G3zY>#=#Lt~>pE-oxquX(0wYVN?!b#`j!7l!b!!Hj<9_n*<2h?o#*#X;7MI9n23D^qa~LSi z7)X(gEWgK|nz6qs_!%y+tBz}tIn3Z?3y^z>q@y*@Kbgn3q*v8;0vGzkPYdE*PsAAx z3)5ZAg_igYXFK^CS|L0JaOrGyP`}ixbfZ~(HlrZ%O9_8tb?5$alUNZm0??E3x^x7d zZsN6gue-chO{)aC<_@DG= zJnX=ZrB=~6odY-zJ6>OFN|I6$dr42jA9HU%bAY`%kvhJ5g0d zIw+V6L^kVW;6PTZAgi_H;`+RpFp*eTf-o&js+)>U2)4zSa#nH1z%o`(9s@1uY|)~s z)LBa=6!TMA66VLoc?%rYA$Wx2_}whf82ib*o{g)VHz+B)d7R3sE4yW5)11y(wY;s^ z*S?&X@^VnCaIP4OOT5yV{1=e%%d#Hu5VV9zXu~fhi)SP`NNkKe;JhTB9xl?{lC)`H zix;!fi&4*`V|48~^Nz0(3g{5M%U4`dbOV&iBbQ_dL$c|YSKHgK2*6Rz?TN3)S&xf4 zYB)`igT9uT69HR&F%~U8Dj)Nt@A|!cMhi0XN%cMq!v9u&$0mCp`O)I_UHNlOYEE(w zw8Z!+t1(S!)jNgGO`Kvd<4RyE643omaoU-J+al`OmNedim0b9VTKfW~!u{LXhv<7A zWB05&FKu15C%8l(8tMUea+du2SQ&vw zs;%Xb$DgRIJkWzUE&(`lsx@P7hY~{dUQ#{SxdvS-ccb`^#WH6t!fP zF;zlcRcxO#6VIzj%P=jyy|^8yYGF|hH0APLwUD`QFA#ql-EiPpv!VV$wlg1BZbeQM zVeiSO8UK`o;AOtwlMtHn((>%!0^hg6rly65F8xX};k_pH5*1|QIuvmk`b~B)7S`Z0 zHxYia*TOUR!ZEBF^l{2x1@T1~5oICaoEaLF@}-{@cfwWL^EM}{#bskZBP$DA*~4P$+HvJ2jb&@Pye}VJ=i0J&h;;;i;7A5%k73JxiMJ}9A*8JtD;bS zXE9D?7CTGIdy*}mj!x)6&j?q<9QcfxA+DLHJM(v49yhtR(F(`b4cBVYr}Hm5uRWpq zpHj4e2usmcHdTsZoFjdZ_#$Y#&UwY-=R=HgDUa>4`%P+HTTZ_iJIBO-h4qWQE>A3; z#6d z&cAy(P_OengXS!q9Pb;0UK=JD$%X$0=hBRK7!59rCQg%` zm&jK)Dc2di;H0{x^p)!BIdw3?{f>5+sXs8eo+=R$|DMt0%NX8;gp_ofONJbwXRr|~ z99Ohg2Ed)orB^D{4_v!y?F}S)COb|Y z2QU3B|JT!@XK)F~$i5`j&0ynvZa8KYR$wNZ<1-G2j)(q331+@L?Y9($AQ5~WZ3~j z(adC8T>d0V%`y}Nh-0;-BFeIBa{?4{O-oAq;_Ui3{B`2%;(xWD-?o1h z`R|s9`B`OwhVqoymryI!DXj(Tl^wZkESK3P1Oqi|;^D>L+6Yieq&q_O5)HrhG?n%v zCp6FGe_+anlw4;@cDHGo%6Zx=)HZfxI&fab{kbbTdi@Mb_O3EyTi~wqvB3PjzQffC z!wym^2ev5BPwd*AlUPK%e@&na&2QZsaqdU2?<=>SkN@_H1(sBAiv@0c&^{OP)cV=y z>*(y{axFh?i2h9T%jhlN^gk{@>9-H5*ew)P^mv23O+(814FYWpYlWVSQRB9}Gb$xR z&m-1LC{T8RG|&!w9JykjMS@iwQSAkQ`FY#lX&=d)G1xv9fwbJo`rYU(+fPk*Kj1}7 z5~ImpgDzW0PMhE8B&SfZc%k}-$9+IE)4^1Xl9P@siX~L6Hq6;5!yi5QKeI&vGdeCh zU7@Ou^ySf5KOaRy4A68Q+vK1zVPEXrPk{?~z1;B8X#L_|Et?>e&J%zXA_`mB%L}IH zKJCoHlTQxC%IO)dF8fq}LnEnDwOk4JP@q-Jgk;Em3ir7)Y0l9#3XSE)ObdI(NBtJi z5jt?+WL_jq6dWgAYUXwBP#_cJ2h9#Mw`yw49zT|iuOnptuvidN!mMemEP}8041&&sNsJ{@~*#U2Eg+PP1+T>caiPc^ml z5Xij>@<23|3CYw^HhK<^A-_|r6tHK0b6y;U}zYD=lb8qJeh}faN%$c z-pTI;9pgj6Kr=A#`{pRT(3=F%7;n#zcObKEv&mE&!F(|Gh}oTVw^$PxbwAr>k$^in zEU}Ak(yvBNO=W`Pk`oQ*>aden^u4-)`E9T|vBh=4Ll>g96|wll-N(nWPeeLzTrTj) z@q9${V6iNrjbgoSlO6H8?Y9NsI#&XipuU)l?#c3`5rs;6c62aH=I&#Jg1)uW6Vk4{ z6NN&3-zn8ZAsIBR*NE(gzx{IT(+a@KmSi0S{<{Mg@J*EmtCdP)+g`o`sc~yD|L3R8 z_$CoT@zd^Q`=E3CxqGMsd-;n(ULEftvH2rew$j*!pDIRY|2({+0$5!?;R9Ce>2jh* z=r2$HULeK|7=c}5Mj&pxb{BiY)1Prs_bLx~gO9UR5+pY~A?yNA$Df-iC7;+%LJN7e z4VgY?;*)tgG}H68v>E~MYR`cqSk?T+Yc(YtOjg%Qit$`?=NMBvKC&KiRV7nnT480+ zgcJHB!f!s5Q*0BJ04bdEk-affv$qDdE!^^x`#CcwyLO>+b`T>8Eyd>N@i=3=G4a+A zGa$Rm@GwijF*MoAFMrb6kePwkU)&xOIK2z1L6rV7MpEf3B4elwrQ-<+a!1Rrq7Oa2 ztx|yogYvc01gY{+Wi$7Ws|v^V{RH>%v|R$gL&`4?F%I4bXrGOedakjOa;MvUv+bST zOx*0JDTC@Io)2B%7j4xhAymb(g%}g}Wf>98r>1O5R<@<`UBaa&13?}i+SE{z>!obg z#|es}M&MU5BTCW!o+5=VUaoUcxwy_`{~yE2Nf)+-xY+XrZ`w&ml??K9nI(0EElnhp zN!;$tgMI2jtLlF9688A^oWTW0&&q6P5FIic+iMF--`sP&QTU=&wk5+kLtcA!2NJE6 z&g3sj)q<(1;^)@o{Jyf5vyRf|t{MSiD>6NPIs$!JYUd(aJFrAF?+>3j!TB{s!=QwG z@#8aLssu19+c-T+k123ZjRVsWeL*>-R;aiq09jN$*jR}En79m8W7e=bjvmewwpd)) z?#RJR&!=ZS4ZTdMcT{UOTVwT`uPJoFYnOgQe_DR??SP!vP6eyJZ1O06l=D1mkHY;3 zPM+Gh!~JnSOI35KYx_TzbLm^Rk;g)I#WLR)pTS`V+rP@E2`vjVF_JJnHU-%`8u=+A z<_OkSR!BS>G>pyzhbGZSyj$uII6e|hO16(Nqj26(}VtAO}j+z@L6tU{N6Fn6I$5 zA<)*$NE-%dUlX!8zLXG?^;!>n$o0DW2~lcnFm|%)P--yaD*I#JtpUD;lk0ZnN# z`#YeKV=Hp#8aRafRBQ-pMy;7lNbaLz+US@?f|3)}u}#!XAj5&Qp`&#Hw#eiG4{DBy zk+g+*pC&qs3M(+?Rh3pRFQ)LNZ0&JmTO+4~jX}2!CC>IUZ}|)v#-OySPeJz7GwGQ~ zmZN5RbrZodA`y5cfhlh{v?1``P9qUy#~zHYL}IuRYnbk}x^M0#+twz3d!BckVX2oA zL50O#gq27f%iWqG&PyVM*vW$kcgDvQm3cpvjB@vrF(DPqBjQT<^>PoT=_D|Rl#7$y|YN;zQ6u#KsTE!e7qy(V9n-DFC%vCG8|aTA3x zyddq#1p4K4Zis6T(fbcCo#E>3%}dpG%Q9e{%6stTUSd@xM5}!ci>(4fSe7b_AR9l# zqsA)i$kT|S8WaLNF9VT(W}sQl+OK844J2<)a!@#i|MMDRunj}+lCe$ihWcnbq?)~^ zX&n{^&e})l3Bax7Vk2@=^N6W@UkYBvmHs=+d^@9qOY-)>5abC_(F&|JjIy>d`7>s6 zt&aPh`NGeHh1PbIV82_611_az#F1j6UG1oi#ruq*bcPEIA(uQRQ%F6;G$ob|k6oM; ziGkrbd13!T=ZNX}n`ojT;JgOpq0d7=gDlq09%)JrH#;x|dR!M#dtq8bh|6Un*~Oo8f^@b%S&M7HX%3%~_1d=2OsS3RxH$NzIZ)oca3^_M$7j${Yl&xX zO>mq|r6k3q#WjpGd$6G2nqf(pBD9xpZ;yLgL=yWmhfNjwpf!ju~Gz>b|NYp zaF4)!Mr){5*(2hNw7vBEhh^dc!6=*F>Mob{Yg;phxPq@$tV5+i86}qV_W~j=`N=Gs z+b->=`UQC*A6V8qi7~cc45ns3n{ow!rw)(6C7a-fB_`Qa;)zCE7M5K99PXG8Oc|r% zXxzLc12d}+V|F4}87s4k9`ftOh4cZ`bUm9%j~_dQY?Li7<|gJE-*YLx>4Na(B~XKG zOPB1^*QR6HQ*w)J5^qXuf3rr+lMMT;5|Lujq3?X30$Eje4!;pIn;FCIz*kFn%fs<= zbEAs%Qkekuk`ys=Khyn5;cwwFTigI)1Xvqv_tlrJRiSN%HQRd5*!Y6e3C~2LOIFJA znNKTE5|nQiUJ?6v>D$aR<#}^IS&Gm|_kBx^o2#9YFF!bd*TNjbgm;7w>vYTmG_$TG zTO_26xb@U2wqD)2mc`#9z;t3Vw>vE@mlx8B{-DXFq!r5uB~Zk&fLq=)&pC$uBtXxQ zof~wzYFv;XFl*`<(A2GRy*i|GyeAoNWSH>wFsAf6ZP8o1(QMI3gPbJ4$m#lCnP&s2 zLIdiV(N=h>ini=<&WIhoVYiftgqlxH$&&S{b-c&NR_G>~F+qHUF^zLnO{0y`2L zgS!(q<56>G_{c{oT5b3@E@NYfH8pA$ZWox~c9(2vLOYl#@TnabYR6Okj>H^Wu!5?U z51ryb_2nRo0ei?Nj?<}bb}?yd3~%p*hlLJ1 zuMw4xs2U}_5-~(B7vQL|xaZM!aoHB-SjgMm%|iOl2@m~(gf+vS$2gF>5inttQZ>hL zAxus(o;Yp3X5BF~V+KxmUYAY6eyX)qg6O{#lGRZ>xX&~m8(!p^UhBQ+YkQZ1}VT^3Xl-v;!d+NcS1aK=Jta%7!qkXbXDDE!Vdo+0S0N_Fb zhuk8uE!0#m>wq>3?J*9ADUWFI+TY7c?-bg(>t&0mT=)@>3&kD!xHyVyv-fF>JOFiV zR*yIYiD*x$bet9Z7X0>6@?OUjhtPLxmtNBw?xQ2^-FYnH3%%1R7tza|Wt^O@o|XcRZQlE1^Q7xr)Z&|Vv*eD*UJ6(K z>H1F&YYkI>F1+pL9{|?hJ!p(o>`hh_{EdmgR_Z()`Bf0vTvJM^qnkt0HH|8{~X`Vw=_V(301yB=wX`Rob#x*>l0qY z5}R9%C$~tt{cLvB?DOEEi2tT`tDA(LE0CI77#LC7RzjBNd-UPJ)$d|X_OC@phponj zjXXlFgvp?Y7|30oe>CV#VOhyGqFmtr+Ht{2<3b$ox3c6SxMba%j9d8 zS7JW;hJI`e{6^+|)ruKOS7I}*J|@uTph|;^W3O&b-cB(r(Uoq=G&462ASDlwc^?h7 zRL!f38cWsr!mHio9UIL7awt?)kP3v zPNufCsy>_sh>}&EU%$5dAGZmI!XSV&)af{JHm(l}(u6$X2)aY&EP337~-l6 zF5ouj$KKjx#ct~|2)~Cm6|1Bi_5kD2FRWoTZWf~8sv$ORW&X7XT`IR%oV64aBk$Vg z*}3DAKf>4CuasDsu3z13d{F;zTc-Cw8I^~-}J zP(?o+mdhr=m9s!FG**`GL0M_Y(Ju^3;e+|o{Zl<;f0IgUPeBG)T~A?MO-37R02+*e zEEL4_-EOYU0a=(=CyV~t$;Z~!8YL*!W}c?;f_QeT^Y#lzo)st=rQ*|y)b3dY7Yf+s z_)}1FnM!_r;i-4_I?y=W`IT*2;}#huh-d<)I<+(~Q&QUW*|xJi&gr$v(8)Ig+MOE| z*K5VMf_4TjI=D4eCBe%!dRP52KdBMmCDykc%X~i-#>#RxgV;Zq^JvdWYMxkY&Jm5K zdKOskvy$gZ%r8o~;HpR+ueh*u>51eU!!pUT)tr@gAXnpkE!q530_xgXMwL6&Q zSFK!!5Sx{*p6e~upp=k>Q(>z1LhtJ(d~HMbf>l!Rr5^;#^EZcacGsmXwoz*E=$~An zI6+lUVSmq=Fuq}&Y{#xyl1IYEGzLUe1r7`eCLS9j_trA<3(dqFCRp5K2ieHFJ+XpE z{5;zoE&k+M=@I;x;kG&$sE785Y~~4dqNG>P5v2VLpc#jeO~Qi~;xg*Sh9r^PY^1XF zKc$wLx6YhVgoC6T`iP`0flQCW4H2mbc3HJ`peTr+cv7zmw`)T-!lYHXul8MPaL=oM zSf2(qb%noiPn2QvF%w^M-GKidQhZvM>@fn!l`|X!k3#ThjeQoVgOKLKljZpza3j6k zu{Jy=StFy67^S~KWVe3&bte0^ zss~a*)akuMCqDBq3#EAfw6~;J0YZ(uKrj*yP!6Hyd8&OC^_ALor-i-H6=cr@4Yvq; z+ZF$k+$>q@yLPi&o%aj|c|PKPfmpXa5B5b$%BwzZkF*;Fc(^J5*Zq&4Q-RarR(Xv+ zlGAu0!%U&|IjA=-Nl=N4Xum4TuRpmaQK5D+D!WB~?y*MUBb2a7Jv{*bN#FoSA-4!4 z`ywuVZ94Z#Si)oT&={V(`DWGcjmxwuwkEY=N18^Tq1Wy(>zkFh-12Z-2cBcQe| zDNW&{Kt%KgD5QjgCz@Ed`LG4|;I)YX4T!Bpp0?SP0N%b05~_9Dy=zowW`2}Bem0hs zp)h{oEGC_oO>10`e%q|V&S&u^Y7~0c4lLy}`_dAx_SALk$RThs1R>887 zz*eQZ@h>kW!qQ-jwm$3>{9dGtri8D0CeSfvz)HnFCzyQi-#v+Y50;-NUte}~uW-$N z;8S}(>hgcujve2G%Zn5}?nA1_?04P+z%?;kK1Ntv+I2(X;6w>i`1E*_Vzrg7e^i4Q z_zxrn3r!DZ$#4-mh=y^4={i}uicte*Z7>avH!yM<;VDu0lT@-^75h1rP6Mn<$oV^5KA7YU3GgBEo74GDLl}uTpy^tWC#4?zf)xPr_pCEQi#DUb%UXqCtinOF7|2JZ8mrml z<+8xg36x$Jd$e}F{21zfGwVsWg6qHt54JkjF+U;4F`=WWBm->C=A3 zyC=TVJL}q^-q4~dk-Z^k*P7T-5(n}5Z!4hlFN#in2TB|5xrgU-1Mq31__W#h6xxLL zkoUI|`HGMdd#Lveb@i{Ev;*lL!F-evOi zo-*$iuz%8+MZvqfeglm1p|Cc<*|ts$24^$20gc|1DFU!Gz=Z?|4nM%4(b8zMQQiRB7=#8Z_Mm+wLOw_&Ocw+1o<;h6plwX3 z4Y%(L>;{;>txSTZy+wXC!$B;p5`p=U-gQoBTYjfZnVQTLi6QS#(VNk8oTeiD!WAP+y? z&5xrmC$(`tc`PGKWe;WotV3{a-hkCU0kZSod{5(|{OX-|+22*Hm~x-wzNKrlik`dO zLog9$*9mA64mBf5FlDMZ%V0J4_DPANW@PC@;n%}8V~qy+iv}ue`V(nli|>zulk9r_ z2MwK@&)<+BlM#_Q*@Y;KuC2+bt#iT$au*N&JSB*T;BzMnmJ2|u2wbnLg#Pl#cwCjq zAAN5^<(s7nvZw0<>XjU_8!v7xk!tu5Z6baEy=P;|!InbAEAm}rTuWWir=XAk@?Oxc zA6nQvzfMX#ThfhtzG*<7R4sxdbsY-~sjvn&>hwcThVeO9(hUh+et3930YE2;1puyv z*Ex@q%nTet=ot)abYbZ<#_rF}&9nG&JVq4`2$d?JtjKv9g=c=-`&^6luDb$sn98Xs`70 z%F$%L`l6hskN3adKRnh@$4+#D=!GB2tYiG#-rx70`PDf78pHwzBo8O11ajulROhNr z1%gbHjlezo95l4$OVp{K9k-XD>)?l?Py(82L3R=E_Nw_bybv2mzWG5!C0RJ3dIYh9 z%iaFSXKe}{3Drl_Mdkn7U%ehsfy>)0zT_+{IrfbK?zjZQkhZ9{D$U!$;HZt8U1=bQ#g6ytNwcw zp{$8jIW_VEM8DsYqMiUm;|?Xd28t~RVu#7d4Q#;9nu!&N=AKC3sur;UK-X#m1ikpi z2x1y=nTu z|A2(L9q8|qsz8wak>qBa$br^`u@*@CmSosUgW}EAR)s)XDi?|I9!)8LI`h@&TA+nQ z0`$QjpbdD<4zkAUd!^)dJ>-t6P4sa17=FzQ^3;njuIs)BIm#;`i8aEoposGNVqOc9 z>_E~X_R=l`yzT(L&p$zL6OuXz`f5!01i|*N>l>Q|C^2o>iVYmWkWv{B^~n}|N0r)I zPdHGD{;P7mffzjI(iLA~k@I=?kjwEV#i1(sYBtO4ZSOzV8l4E%k=ZO<&~A~t7Z7ao zU-@nT7pETDirJ1c#3+hx*zH(`x_q-JQ87hunTFf*kx;qggJ19}(J!_oJODff zC$q^wws}@`i3i|9B&P@&+18&Lr9PPVU{HoqtTek-0LmDe^B^V4DB+CM9YuYJ}pGP z?~s8;V5V9%2~x}kL>${Sr4;GwQRW-}?N%-j3Uv|a`ngo%+f@{Us(C$byqI*NV^00m zzRD&1Y}&BM!bU4w&}INeVf$>dL2LumRbz6aQ_0JpNoID=t-2P`^0iw4dMu_iTE)pe zh^4Xa7&O@Y4A&DhxR3!6q599;42ZZ_wb=qhpRQjR8#U-p^2m{mlTX5N-UsRb94j8Z zt{EBgNB>{nTD2nx=}#b(LS{Vg41`hbaBSa&ZY!B5#hK3ZGs__$lt3%@zkW$Sa08d^ zdQYuo@mu

xqE>!BwNaJ3syC?&B@J#*~TE@oZT$u7PNCZhKmI@r~^8-dcCNIoOs< z`LH^6{w*3@o=e_`BHt4-Es)&kYtNs47hyp~3|$OrjF_9%l8eeRDkoPsl+491o}NtC z1d*uRDj%R0(2iK+xq}xw?&a&J$(r&g+4&~vh&%-=>EhZ6=&_Y4naBy$9-Fkb9^W`{ z{GNpi^@se2rI=d7*f1FsjM?J1eWxZ9WHVTFzgR5j+N~FsmqK&NKYpv(+(X>tKfV~- zJ+(wX^z~eP(A8IqYCt~PPK0y}{Ja~4RFWz4AiP?ufl}Yrs+|O_+pcA0jC1&{bAa#8 zO~_c|hEN;TMaxCR25)deHHSx)P+KRT1)GQ#O7wLVVh<@J^B`w(3zLy;uwgCMaY^Xb zdg_gD9mE>xc^15k)V`N+mb$j~R9GqDgP4VvLjc*a$?@6ssGNW`xvDoh@1iBT$Pzx6 z?X4|^f-+_^uNC|v+57FRSXZyB`!IiAX~wQ-0L2H)#-1MLEiTpMZ802?JV?k>js z*tRD)^EzKit^}ip;wAQW4HV)qY&BaQn*v7cNE?XZ zaMn29kAoL(SZ__&_UpjeF>A7cZLwqYxhstSEeXfm^I#P7W47pM9Hc4(rdoCcABF>Z(#Zf+qU0jWyPYcn>F6M4#M8j z_e3*`>x(4y2v3Li&TPI?(hUjyrtl4DQcixP{RjO6B5~Viykkz?x2?R>vRLV%W5Xna z$2?s3su(mlgTXK$;V9qT@M7`1wH!offFnqp+Wawlot!B8x6 z$0e^(si?^_@%V2;_eQsz^C;t6<+|?MSh32E%~uI`SclfgckzO(h?&Cq%SZyv!4i38 zmu^Vv`~y#w^7`FxOJWyw=s;83cW9 z?E(W?@|=Him|)89W0c#FjBum=+tAU?dm`7&#y;evMg|(GCXWLu{fb4|ZEd}W;b@-n zP})UU!}!4zPyJ-qxb$EXkW;OOh0c}xfR(XsCwe&KU>h(6?ONk3IG1*Vnd2R;qQ!#c z?DoRhe8WS!AnEczpIxe+>U7??1mOss8+_M?V1pFW{(c*?Os>74R1c8k4zHeC+aHPo z4W>&f{XS$4i(Ja8y87hx$Yt-far|fahuE4*#cJW>DUIGGgeBsYVO!R9+==W^&4HZ> zr}o7*kyUpn@z~0(ez9RK`N0KZ4o>J<0yp=}V*W+9nzgQ$KnQs5;^n8olpNLW{=sn_ zSDrwtoRQZt-?1y9ta&&;3y(Q5G|utSF*k^XZX0?JXzW@;oB{=kzG~?Wn;eyIjS5%l zGv$<4UpsA=g_Y^)-45*yoZSuz@z6U195$CH2?Yq|y-S%fvbB>EcwgV1if&OE|J$x6 zol`uZ$+79UR_MP@h?+RwC-Ex49S%x@jS=B}VMM1N%u_E+luLLDwvxu__=z$;i;z?5 zXB&cCGn0!#KIxmcJeE5??F)K#1ivl+Im_qDD%PEf*U-Rhj-M=7CH9=^oIs*2Ak%{^ zI=Z7!tbB)eIzn3ZwHi0?y5h}ca@JMWLAHgK3H;((DJGzUH(atw=*e;NHM-IVX?LD-*F`Se_I6DMTA?Yzx4ct) z%16%^AE0iPMS!?&8U@Mj8LL(b&>RYDh*t#4qAYw&KsPtVl={jff$R6~FQNronnk!r zUSxK!e+kCoO#ku?37DFD!;j2f{UgA@SYKufa}1cTLpuvz-G^9?sks;Qv1*-T6l5Ix zFsBoHxie8Y)=ln?w?ROCSvnq7a9fgClGr$4&qCj1VybNN?$WL|9jwZFF}v$n#E(~FHTIXeg0IH+(^&|0`Rfz#{ z0$estn}L0HrpHg4`N&O1e5xHK!&E$9tW$%AyelzoxmxbUhu1CT%JK2J3gvQS2J?oi}ynwGBOs`#SpW>x3sJ0H4nirR&-bI;0+DB)-v za94<7XpFFAM>a}Th*sYUAwd4=3{*hcf^@6rSi`fdF~Z5d>>Ba zgY?sFozQ0Q5fs>Dy#}Mj343PQ>7heLPEnrb|JGFCt9XGK8RS9!n;rGXT))%&e?Mj^ zBGa)MupCX6WqGk7P@$IPoe@=)$zv^JBpO+Rh(wOF@z(dkf0Mv}!)tN62dR2Zn<8o* z|1Zo0d-*1w?Xd?-Nel1?F1K9Fuu9iDhk_b)48Ri2QtvmMQT`rXuc(usXvl*}vneO@ z{Sz|f>am~2{r$ZlW5*cYy$=y58v#}X2PP>fzB=DQuj4R|@C|My_k>)dx!OjZOJB8m zw1m&f%811gMVZRIa)^nQ4A&EXj^`chhO*sR!q;TkyC(+7t}e4WtQd)e6GomS#Ng}m z-n`pNSzzM*F+YdD^BF*J8@|bci}em?^b$f7+b3#I$}mz zS+q@nH<{_D1BKW^?$BS&u@KA{|6wHAkeNbx)l5v%3_z>l3Djr^8XA z@kZeJ3$L7M7}prG(eP{gcM_U|=_2J|Xeezc_9OktC+w*-e=5~}K2;?Ylz2G!@$p;Od`5+<*%^Fj`)RZ# z*vH9jtCWO1`0%!JALJBQYl`XAGM~FzcC8fT#G^4@&l;>1{#r6-bQlRG%!Z?UnC>B0 zTOYo1xNB8yFl-%k^^xLb&`WX1;+~6~(6qQW^p^?&RFuVQtIH#?2{8|_mCHL97#{VH zmyi8OxUX~YX14kLlII^_AjOgbjGv%`ez97T2kz!L>txRb<|n{;g^NvaCV>=VCM#`< zvbdVQUIciZ&uv|f*Z54o@pt5G-Km9Da4S@Y{9zXI0>fbGCP%w=Nc@FM_N_yK7*o&C#^-wX_m|K_;iL})z#e+X6eae_*TTqOCZ$);&=%%4iW)s(T)#dcOW zL8Ps(7=S9h=cP7fj|e=_NEvqY_3`sdCdoHZqG008LB}gSE*I>DMXr0h*>i^;fp2K} zQ3_qt1k57*c|dkT>0Zh|7Cd4F5&b>-WMcKG%3($fQ-F}wMKES|o?fjVq zwTV#8&%zc(B;AI3fg?M2xz5Wm5gd#r>DmKHQSUSGG>>lp#3zQ0nir458TQh?v&!o> zcV@Xyy^9eY(AhQcj2io?RTGqYef}E&RBr|s7OhXXS;Cm1HssP={%!JQ+8Pra>%2TOyugayWnpUo_a3y zf&`_I$Ue^pt_i0Nqg6DxYi7Amup%DTPU^TCiZj=BPJi;fS!@c*l`C4t2xU0YC!eSj z<3cp|54hZ+22TGFsJ_M}Apo&)(Bl=5<5N%TNzt1^vL!7utkxJwO%`4d{b%*OH6nV+ z5pfTD;}(U4{xyXc(=*q-)b5ZokJs%k!uTI0@uXdMd%R%ay+*6aw<@mkx|@(UzaA2% z#VrQ|MRtHZ!f?ik_#!d~+{G9>U{gln5&sUk3}Uwfa0~#bz=89E7Zh*pLkmK0arr_k z0g%pp?tRp)m4)-d;KE*_(7^!T9lJ!~2-F_HVj0%tn`Tns&ft6S53LfN|O1Z zuGztBl1$Y*;x4a3owSClR;Zm*S>q0~Bh1Jc*=Xg!12TCRq~b>${e{9WrAQZ78#)SU z+{v@%9p#h7nQ(8QD7{FXi>Q-)H9wFu1K|96@SjgzQMLBaa5c`7Q?r9QXOMa_?u^Jx zf)g*=&l@CZtPm=q znkA#~qPapPy87}66vCN~ElbB2(@W>=F8r@4BiznYE)+PEzgCy`{pyS~!|BTvz<t^l?StYYPUx((iLmU^|;)XPY(e+|DX zo#fK%KjmqJ6cKR`qH+Uyatj;B5(IAo`9XCCkJ$rF!h}8yYM%K|MQG@5$UgTBG1ziV zo<_W>>%=*}CRl+*SSIjlc7UXWK_?f~9xS8~i7H&$aJ_u%9EXb&`_eNVJa_0kb!L$V zNYTT6Nvm(bw#16CGXFqRB~1w~VNR|2byN)<;VaZ?AZr44NbIYsXhS<}4<{nQZ4LJ5 zfar%`Tu_iCCjuTVOI1^?1&peT6LI`P&G3~jYdKM_aI!j6yjA956c@YNP}zk}JGL7Q zL=ZK6>Hr996u-95YvM!wtD%L6km^imgj}~iKWJk_5zX)sD!|o{(J_Wy%_sYK{+wAI z6@^Qd3T}fOr$1pVI|`P^u6IhKCN;(09f_?ReF{Z&Ii5DvZ0J-A*H>$&7vYmoM^0jk zqK5;IC#tJh>rPleYyt7vKHb1^jqCZME0>n^Dv2}AmDALYdsf}nSBJBl&VgGpGV)hM zC-TnZabWl5>DodgYE4N<_HGm;65!YXc+#R5pXj7KciUZRP)1{xd+i9=iDaKIf4&mbngF5_x~Ta*=92|!_2Wc&-u(qHRtpBG>4dDatKk;>Dt*G+nkzX8xlf@QmHoQ zb4XID5K_rSb#>|RxqN;9gZB^b+w=8)KVFaL{r({gA!xX`3av+JmO8k3kQ(kdXrdoJ zPU`AZP+;1Mb{$rDV)Glpis|xxrB2VlVcB9c)|flSruI$k5#zq6QSi3{(+gIIJkqRp zgwXgSd51{&p$6q3BY<|C(kFgRMjrg^ve)aGbZ)D`xDPo5BYwRrWV*`qs*h=prG7or zB{WNIeMe^29XqG)`KBM3_(wcQC_f}jQ787|xTyDv)XiJPhGPPw)N^(^*EsvKCs#Lb zAen!)Bp9m#)Aw0$u|uEW8wkH&StC!$_B|abdOoU8@sSzJ@M$#>87QG*2Y7!)S!51g zOT04d(?)11+BWf4{|blvG6^{PTqyMUr5~eKDEZJMHH+t-DIBGRt;P2nn|Yj7gav?$ zU-rGakv7~>c}fadB9t@LdcvmekyquUrEhjn1tTFVtI;wHuA+g`MJP>lR=wzCq_|bz zu~PnBcO*3FqDj5?FQISC%q@_-ncAUZzA}qzr}RjXMa&;Z#Ep{_Gt*!^7udHQQF0WF zqJ@RGA|n?}x4QCE8)lKtHydxUp0ylZ>pFIZcP;(YQLw^!_noJO?A-N^lJ6MLHtzWa z%FJnf_5FyhN+q^fNJjvf2tH>o5`rkolQ&i`yk{s9&EEm4zmUi(Q`}w*4v8_wD-|)5 zs)Ia?y$Alve-86A7BLXwJ-wsDCiDLO>X??PVs;G{zXfjs(9dr`42(p2xm5ZDO7#xt zREcRR+ZOT_u7;E|3{k<$M!XZve3z#X`^c!Evx%aDepV5D{D=61{KNeRpFpoMD&39c zM(P^IHiv{RM@IR44(OfB%- z-2N@twLFTlzOKBxlygfz2O(ZzzNe?VEBX~9a?M6K{vSEqL&+;d=`kaPCv36d84J*i zq$1fTXt88g;e{(jD3hdkM`iG~54d)xpmBwB0J*ajBFuf0u3pCIX+FdTV33Q(|CuQn z`t+U|j&@)g$z&Ot<-k50!9R0#;;z9zcEB=Nv+Csm!@46R^K*wGD@KK|@;?yHGVuNk z@HAIq^O-++2X-?*nY0@>oFjO&8j~IGq{E=-bjOD~FLX`#7}eYPno(8M_%P|zrZn&p-LG{Rb#Z9;U3wxcF zIbpTe!XA}rjcj=^6GEG0q*d8s$3|ASc41UvK5`WOQ00IL_iAfJbl2zvnl0XlP`-@_ z?N>j&SZs6dG@*F=4|qD0*i&T&2V@d{VuE&^U`VBx+iuE#?4AdZPjs13L-H0TyNQd3rXoL*h&y_1(B z8ye|RzdU1*KKCA|&xL&*Rxva(maS*2|1ev9cFVAT`S3zv20}!C=htHv%w}C>ZCUgh z(UByEuH{3%8N5@YsGiDn+FURUbFTTHM5a-R!UIW#v1N(Ov=l75rQP<-{#&-Yrds7x1`hy zQ757X;=!@Q-mi~E>7Hzr=?c27H`XzqDE25=W4R2Qe#+IxIx~E#Y3P6gd-jgkWaYQX zyc@xDvDhlolz*;n`&)iidED!JskW`9M&;tQ#_o-4w#Dba7Iy}hw8tj7-VM*azuvN_ ze-frgh#5}gQ~&)}e;FC?4$cnxibqF#tAg_U*=_v75_8XSg-^S@1?!}C8O)EcjiX)o4?HmVvm5o+&xwE z_v8J$#;z4|AXcN%^?0H_E0PqoaxFEw*}m4=twpW;Brtn}UfbRaG>UQSaL}raWvNtT z9fVOG!JDVRPO7RjUTLqq*|*^SsJSbhS_85#GV z8N$cAgD0%cYW0b)iWsd>kvp|~YG^naNh@uvD!A`jdBG!hL@K+M_XX?wARfy8`MYY+|E|gMU3(W6K@;*?>$AI>^L>yT;;QxVy0^ArERjb8kN` z&|g>-iGb}Qt}0l_Boqs;>{(-*YkPAq)7xJCESIg+x3+4{V$;JYTY zaevVwT~KI6`nU#?UFI7|c)UH3=8dh92qq|6rKJ>l$y8qoYMicCgj(g$!CqHXtXSS4 z0=Y=~D9>IfIsD~#_m8EEjDCWfHeKPver&RVbT1b=QkxaK*{tOq+ne9!+GQKBtaOqVCwec6$L9q_r-6oD zIukZW)T#oWd1C5Yizjs9S54eumF&6kcvNKHuHNm2YWG2QY@^GR)Lwe6)w<#t?va(w zK`DG&+PZ3-j>rFOya}4$*CWb5#wjEhYpWn*(Utuijbzc;#wz|VYh_)B3j4cKMLKzO zd^zR>B)f~1Be7XF7F%xlqfM_jg`;!#c5FCV9e(Cm=;yMa;x7+A$KU8(Yk$bEOnMca zs)HIt=vzG%)eXJqB%~xoV`wx={P&O*zrQ%t9-{OCp2~SKsOXXuT%nI>90ECy~m~0T6o*M;TQ0?;K0ra+5ft&6 zUOUJz*Iv_0h-zswB3^|lvpL{2MY~c}3Eg&c0d=kIQ@1ZCWd}v3*|k0S0}i_l^*CB? z)U>a-Va$Xr#~9i7JfFHLT}K3nk;wTgqbuM~_!WhOAHcaxrWBv)m105gEc&Uc)K9Xv zZqLn^B_)~kW(gbVB|^^fGozmndA;o>M!8N<6xtxeOeX`ze&9c0CQey=<)QKNDq4h6W#q0V^hrI%S(-4yeuLTn!gB zV6}XhLW!WLXrDlqND|EFhZ?&m7=us}6+k^`)V<_z0C%LT-mYlgb=*SR#pQwD>aeut zu&b6DC4*Z(}FZOuDaVMv%_(53YR=|vmr+{zUo$h z@-Flv_!i!Ti8R4?%z# z!qVJj<1ewchH4k++So4fGo(QI+i%a0LiA8L+0xm$Bf%l&3M)`d>Q9s(vvvav%HT{^t3iAun05stDIu)*Oz#2 z`&oq^epM=kW9wKRHY0w3atH0+?J_5N8r0160QbJI81gu5*5oAq zs5jPipckQJdyT0!; z+*zkJ+37DK4|%9zym?hM47~Je-K^IcEKl_#{J|1HQYM zBUNHmhy~h8fUyHI#T@*n>969|UHC)B^ap7UlAxc^guHL}brSXl9a{fVos^d()qmPF zulb`6|COlyY6{U)RoEyy_W0H!u1vL-<*O4YR1mglyLe3ghe}HQU;zeLC;TK%)ZOmO zN<*pD^U8AfX!(@2M}xh3r*hM|oJ;S`3_m)V=Jrfxbtk)fA~c)NJs<6*>}y1nw`XCq zVB6TM5l_{q&YYWikAHpDT3ad7#noMHV?l3{TqJZ(LQnpX1iMsGORYLE@LgPoaqA46 zI2eU{xC@qU;lWi1!V;XUVN2o9)7{eI3aQ5Bkqcd@|E!aq#*A4u9+-(%PPBj$FCFl^ zSXE1AH%%%KTDSxH=yI=R2SY21vP}hCmb|t~ByV!)UidsX5Q4^WP#I*;4hd`rBXAGn zNdn6Dq5+~@W~GFJ0yi|FBNYpNK~UMlsQkd;e4FTTTtxi@G@DBn%Z3yJAkeP@=~dba z(N^@n^;4E=U4AYR>;RqZ)k#b4%>8C`tbI>=es7=A@+l8b>e;A#XkjPmJ!UGG z@aS%qP%le?frBy&U(Qm1f|bWtMU#S(XTh+$&sw3x#5`vjC6m*iFf5)_A3$5DI|Ws!bSp9MUQ$ zkc>ul+g4JBb?$037mqa;pEs(Wrc}>JyNe6nU-@c9qf%2iQ(P67*oF2 ze7FOhf8u4?+rGmjQFf&f#D7^czY^V$Cd^0%P-#GwCP-ihLy8ZU-IBE#r+*)Fhfmtt9Os`IFcf*dQY zCFWf3HECAOnMe@$amY=2RrgJ*U>!g?BD;emg4VWpS|K&?O6^FcLrMZ9o>^sXhJ2<9 z7@wGUFuC713Dm_6i|o`g zC}VS)NP?(9d8w?N3z+G4x$Cdl5Yng0G~z%*2h`XAvJ;LLK|By7+H$(358F`5GigwVo zdWP}U_X+hM|D?+d-1`A+=YChe2nzjl>$E> z#yQ+Pk1Z0>4><>2e!(W+v3dgfdGn#GocILF zpF_rkpWXdKlz=$&4Zd`$Lu&cz^V6l=x6~I_s|PA6y0}IMD_A40@heyOc(ZUEns&9L zM{bJc?ZS|)0A5(Gb4Mu1aiI-)^z9jH?SbI2f~!C@WX ztr<|>1U-Zawn_lR&4Uw0JwIVx76WUSj5sK&bHd(y()yYf|HM+V@n#3-rl=Y>hS!vS zC!;`2QNCBAqF@}_^|_6y;Q=4!$|(N6pUrEMREV5SxK++o(wa#3)?%z}iSPTGpdBS$pP?O6 zj(@4SrUdHEvo=3jVu=`pi7^*dMj;4wBi0DAtw@jy9rQu zZu9l`P;e%b>PaHw)9CIA@R$maH&=dOUFK1m@8wFh$DAj4Yn091aAYU&jEmdWE85$* zVIS0+zX#|MxD$bCltfnSVxe#(7#+FH*}!R)Q5kWAClZ9#TMgD^^M%RTFP3m|UPi*W zX9d4D^Dd{0A%DHSZm&{qjV(+d1otA~rm|e>g+kr0edmeCzx>;tGqfXu#C)i+FyD|G&daqDbVsKu6= zf_Cd*i=_I;Zo`i!pT0s$UU9$v=Hxxal|vS7F27pGV;VkN993PZc8mogamDC(=IhYL z(?3DFEW&N=f^Yb%c{|MfQI<7<;__0mGYhP3#MtG{bT@&$60SaDHiAoW&i(Ha`PT=^H5?h^T9%;CgS1#s1KsZ0y$^V(b)^)K**qZgTpxKzhz<4sM zgYi~r%~qN2fM6VD3S0TuqDVkRpEthTBt-cAnjmyWKW$r)-dglI%K`7ReT@AYv|59v zHs8M}w-JG()ZW?eJ$T;=kMyPwRr(RbZn(okZ3?d|T-zu_Bi#z)uwVs{h0KX>%0EJL zF4w$LyE;_k6_W*zh@yTSWu`9wZPm1ux>v^Ns%>*$%!i)*v?Y(omBjlq&mIH&Telv+ z!&Wk$LucndqJpO`^tn+^ueDEXoIZ_si~KO`=lQH}{MPAXW(niK!Rcb8nIy>ien~m$ z#xBMD)TUBiq0rsMXY)J&AtQB$e|C_<{vH$UvKjUDB?FJP%aa!skx8qigr$Ewk(5T> zc+FByme@ql-45DHEQUKC1!R%s_>fKC=Q@1Y*?mKazw{CX<@Z?UB}dXSGPg+ogIM-1 zsGM|)@7tdWBvHKx3~MOO5&?YP#?T@d{-g=BsV9Dx@>m0j-e3OB>dsOh@x(QK&URJK zTn)#5Fp>O{w}!`_ofkh-DLXxM-`46uKCAAR|8pp5Cw7MxkU~G&CcKj<3POx`9=KJ0+#CV!-n;^D zdJN0P0Y|eStG^+#djY7_U82vLS{yrMhf~g$j`?ql*V_aahew5}w9z_)UPj2-FKf%ycpp5UwOLZRA+fiX zo!=u~rFCjcIP0c(|x#WC;^cJS%|tFSRv2n#hTeJXq6{3;((iS7kfi4PKU2+YZ~i9rK9(&qmuM z=x^7)7Yt8o^nm(mw@%17_4=DtCe{}Y?0$8Mu_XPLB4awNOFTIDoY zI}7Xe|e@ACp!AvtN(^%(qbIxq5bNw%ua1=Y>>$+JW6&=v%+#vFAKrrI7Dm3$bT9SYrx&zLAKg!QL4= zyVSmp2qnJ|m8&+_V|P6fz17cP2BMF43b4|S-`(wPL3R@LKH9>5nd3w?zI$-oonqrT z_4ngiW%H`zhSi$@suu+^H=*@)X7{@B4o8)0V>(0j)Rye97_jKX%OHKmFnF%UweVTd zqfz8IRM*KU|t~)DHnb^W=a|rnlQiikAzg! zdSK0OzydQw_9 zt97=!ME5#bd4A8j=;89PqUhM4!uqV?O2>;&8(v79keg4 zss^hM94lX*pNSw>X_Vse?z$rLwee!*eXEIw(q?D`3etU44cc|Y4mF|R(~ zwJfORa-HnqY=LIcpfhfg=bXOiV6FUfG<+Yr;*b;;R$?-CS3LzOuSx-CEo1^CIl}0t zSjQR=625%tJvhP7S+h3-IFeEqOD-NTEMkolKISU6T>^aNe}n9K#H!ZqIVm48D~V`D zA{SkpOgvP?msd`nzdl-qbCATEf22v(aq9Bxw52a}fAZU=<`}O<=ULC&D!(Jx?X}+@ zmz&|5yM@@<81T5s-%}ZJyz2x$vV8CPjlaHg>~tR#SKd``lXc25tQ2yDN!Si@HUnbWVfG{NB=oVhSwuuS1!v6WS8M$;roZtbl%;bDDWzIxA0?kZt>v~0M2pReZ(!xb2qac%=Q5c3YskKq>=9oy zbuDx)T2@I#{4J(XV|_+6sGCwO?AcZ*7R{omI;g;BoqQj>8m@hdQTLq8fnWqK!Jp z(UW9Y@<&~QA^#RvOc4Qcy4`j$AJfbz*{abK(Qv5NOeN28i$F{tbZa1sS1cI>ulWzx zI_xqsVzrLAUJ`zvNon#6mpplc?_$`6LBtn(3z?8a06X;sw>s2yMeGnkpDMYoSf*`I z35({_Um3xyla2Z{2OqYt_2s&_GCO7!9XiKT6jfyfO$>dSq)6nJzWecCz6LWYAgQrY zSUE&rvn;dWPT7cjK^0Y@8YdDCQh_(#3D>SAcTx3rt(QK6vMi*lt>0*SG?xe)%#-0} zw)bx-bgAy!b}f3vIjs9$?GMCIFruGZwjOBxcErdZu>*~!7nbk~eTp`U+{2?`SD9nK zR-^3B{b>h9%>}l!63b4HfbAgv-Tw2#y}W+-5K7|Q&R?HZi4Q=F29h?x_xj67#x8n> z=;xb4W9BR1JV--@WT&e)8601**KiXp9x3)r_!5Be{)_yCXr~Iodr>FqT1UPGOHIXp zX-q1ZBVzL7wVp!PpvG4pp#Y&USkq{%f?wgfVtlibpMVsgw}|*s#Px_rIhM)$lAM)i zxjjWcWkjs+kT+fpHybwIFhPDFA&@)5@o zzPFzY_uT6j|G2|e2p4L=B~V=4A9Nd3v$6!*+UNuYHsTDMHC#jN;ronOS`4$38h?3w zaA9st0}9$90@c!6QXAv6M$^kDv(F%t5X0r`dM|7NXFDz$0(Zr{4xk!$_yeBSv#|8i zI^dB3hW3(5X{4vB?wNl;7Il$jKjP{|U*Do?1mSZ~)1;<@M%XlPY2zKuUnJ8y! zNAHGRi48%8Zae#PJ}8)vG69K115~oij48=#;slOG)An&PMnrc9JS0H+IF5rg0d6XU zfs|?p3?gDItjDKnFsobth`7xR96%^+CaJXKLrR4H6V;^{+Hz>?pa!8|ZC~u=bSxml zYNY1qzzC>D%KRm4(l&@JV{(?s8GSoEi7$Uy8=yWQ?@HC05y)$g&Q*s{T4yPX&!vZb zNnHQENiP&^P^=GcAQluQH~kWC%Y6<|XTmhsDEc6K$rPZbP4V(iiXrsvJH_0B&3-eS zt+Gk&`@&JCSdd}|UzPwnPm}2G@lU1YZmV3~T&7gSQYNeYauOU=;{jG6!No~byMBlR zfhI%Ft&M%Ty#h2yqo^zcjjDx|^}IDV5mu~0QHK(<6F@T8!MZF&99q%2K8*~3@|To7 zI{X6^hgxDK1I!i<5Nu+Eei;{gs>4Lb{7`3KBw?xQk>vcJeIDa7eK~k?!2U$3kh~L6 z(H->Bk!J2hmsyTBasu4Xe~9DeWOFR=;a02pxhbqiP5GcGflN41=>V5pJ@|Z*YQdS8 z{&Q7>sbI4NHsvtxU;->+>1GMnO_B?20OeoS-L5nJ##obj8nXwxoMj)!w}$MFIOK@g z<(RnG+4S}Aa464{PuyydJkj%#${%oxrB-=*nuZE2O5c{H&}>)(imi6pOs0|ntT+K^ zG&61Sz2DHNvJ@(;I4D4b#Jyt|z`IYBEb&&`3UjN)Z|06-ZODjTTe}3A16Y~ZmVT|;H3+=E{OV$Y3vX27OJGs$CD@581KXXomHP+y+dmYgS&5dlT6=W=SjSi$S;7G4 zz0Ptl@pvZR{7xoQ$$g&WR?XH<6WyL6_i7B(q=EhwbHJoI7%oda$R6}1+QXVa?$y`b z5TwhOhtekl{#!ic`H%Pip3}qsTszKQOsIxGQWVi!qdRL1$F!=&f*6tblf7n&BCf25 zrSmRrXv#`Hj8lKo10qsmXAur;9Ub_q_v+we{VB}A4XB5O(M0;p;ZCzi_&8rJO;kNx ziU?TnUn)>+bv;)qHd&1iQW__eseeg#h^bf!a5)jwD_r3@T9I9I;sp7y8I;jJ7}nRX zFostWieF6jsO`hUU0k!%{7Ud|^+2{7`&fHzbid+eq4{FJPC~!(B(Eww@ZgO-tnXTa ztzDIKE#^*16#%2G$VT1kV+5E{ADIE7Y|ve&gfz7fjRylprsl-J!4>B!_sK;)b{Yh5*sN6Cl!uc%c}?gZxGd-D7Ko>|Hkx7iS~Ei81i>v1F#Lubt@mo` zFR9QS&BR!H(tbCX+~Y_crT?zxo+}!r%u1WYLZU871AdS)R}(Y;8_MmO2TV;oY?^02 zs&~7uX6j>aWg$%a;+WvVcPRuP#U|OXW@HdKlT+`t*WTGaYQICgb@#5Fdh4KWUzvuB zE!S?u0!x~XdO4K_476e^*hpxq`v%KtJ`0g-!PMF4$U5!pCNyjdwC1o?kVzKdYite~ftnI2J#9UY}oT*VN zbcbf}h(x)IS&CZwbWeJjNDPk~bhp`-bxUyq2+{}E(;usk{2}xg**79g z5(fTib5zH#%@01;XvMdMND!k2O@0;^Hs)e$27PVd#pJh^z{}^2F{w zA?ierugBw%y~n_#7?RkZhBKaYP9I4NAhB#imcYFY83zQ|2#fIrI^6{bzM!&K$Zmhq z_8l}rQOxxfhGNh}F;K5HV8)sM;W4>|69r=FJdgJQAEg5&(rnf_IM8(WGxt%BHsQme(gpj-Rw58eRq?NtG|dtNW9d~T&eJnpEWrB z#~-j-IBlug_Ay`TKGGa)2$YwVhv&Oz_q%7^zI&suezJY;_?M(~w~dQTxF@ZfPJVP% zZSBSJ3W)10RcyZ5EK3a(QJOi|LJLF#>F_Ly!G}5TmSOh@5@f&gQ>Pc%_yDYfc&^L8 z`FJZB+&uKb_%K^^}P}-4>AxNMNurZLsXN@ zF*gb)`{6>un&GbSfE!i4f6E)>8UzejhP@g*EkAf+4oeW0PNtMV+(LB*Z$F2n35m$` zh)iDsS`6BMh0%HA1GUgE_8mf1dv@?v3X@AUG&7VwN^Ks)Sm_C8z~XM>{U!f88;Av) zdAi+R`X;~YZ-M2>7}1?Mhn~KL4J?;_ba8AIo06yshV@YzCE(9JJkhBwmwSLFT*kYv z@a{c<%#Miny&?V&@0MaP>3fQ(D)zI>U4N^zny!0QBI8;Va z1f5tf^C*gbZU>ch5F2l1j_uhvE2ZV>PF`#L1&9q>A&p4>E4rndEUH`M7BKHR&@X7z zzF}UaQ<%NNT)Q z{v+>pq+7Ghl*CIvZxWiCaff;^CSD}SybTe)We-s777FbbF}k4&|4y+nlBxee%ZKuR z^lW=c>hPwGPL)4xAcDP+?!lk$r6#0Ze(#zpX8iBqjez|>A~xxojS=L=Pf65p(c^_W zPhQeb;L!hh01o=z2EUCcrdiY@1nAx0!KM7;PJCUXwLY_+wU+m}sR54?%;QGqb8_jA z)rEvZs|&xqQ+_IZPk%+L`_LV;uE`pTXbU(I2Q-SVI)Xb+z%JdJq_D9bi@?ZS-rzHQmG!Bq8 zl>XhDd}tyZQ+oU**z-*$U1Xcuakz8-U9faOA`y^1PBrrYu!OrPzMTG*-)*9d1T67z z6`lY0HU9NP!f6r<6NoR=k+TYZRL$|?41OD7aal)nHM_DH?K5xBm z9k?CWUun&L_rdO6gNS-@-K)b&IxFKDh}8DU9PMy%JpZBwiwGk_lK8ru$z|Q__UOx> z1D#)r#f7+a&VataMzmTef%Y^kM;}+Ux(}7C`wXj=N)7J?Kw=gYW$%acG5_lO=le3b z&2#3S*GdvwTFSb?L!m}0cav=uGzR6X&sML+Qpov33MjobP;+2QaO(jj6(p+qBdpna zaVex2Wed4$eS`Anf+@Vj%0p{I==V7ATCnds+@thoc3#bLrsdCnITIS;&}VDv%US3aTT?B53)6$uR6{XYj5TTQPhO@OVJz^>{~_n6V~|8Y1u zFwqL$%plVHe!o<*@&VxV)W$5!UhD(eu`iot+gOHHoMqc6T@<@5v$JgMSnK_1FSbhW zu5EsGSJ$SaA$o%|BrY2|s!`;*L|TDct@-5WhDR(npfvB`O?o5BwKY)52F*ZaD%7uu zh76+KWE^of8Y*$u%XVaBwT{*m$*oni6=9Z0(b5SANkaos^+u*Nj^-ODuT`B_FGYMi z>Tt^{bop!H$;a6OaF|Y8qx`YV+&~#tYv)jx z^WImQrWO~uZsV-J^?#EnmuJfj9NAs1KW+W3I-_0Y$LVth_pJ(Zot5R5n|+`B?^n`r zLOs|cO#m#@ocRc@U=bZeb^Cm(#5?~>v)7AuXzcg*%FapXs7N2=$eif3V<3q<{IGb% zSZXc$&aER1#XI(lIK@uRs^}?n2$S%_m|0t%Nz%yn8F^5=jA+VKq0kw)nE6 zt>nfQ&ZJWEZK+U>eW_YBELs9bnOlK5w4|#B1#6#hWTqE)#g#QV%{~WvMPyOOeclO~ zhK`LUS{&FAtSt}@a>cgF;3DYi>)WFC8fex8!8VI=Z;kZWR3%rjbPSkk^i2--;5~8} zFL%^~Ehe|6t9*?!h}7FPoW@dVUD=#d7)@jO(HOdE6BYQ0rS7jMh@CuDBtG>m@2~$Q zd5zji9DOV`DDN5N{B~F3XneWDft3bn8RMPZjzPrCtD!Q9p0CXU>YC-4c=wBybLj4F zh-=&a@z{C<%A|Dok2=YIk~wSB$Snkgf00&t_4GtwT|Tt-fl(3wgRTr!5RJ{X&dFM6If0NJb=q!u)Pwtmj0?Q*=-#VF#Ey<1TkS z-%98vnP6L-qjZs3PI}0ylYert*e~IQd zloUQq8#cX0$}uxg0iWVDS{k&9E42zeJFpc+KRC4#bBt`PKBT5hte5|bl&H!*?VNgn zS}&Q)F;yMrA6+$mD%`#-@(F8la!UJYW&-T$r8lk#X}4H^u^3$COYHo(Kp#`}Wo|R9 zOzst8P|KoBv49bB9%)G77~a`XxJhUp>bX352wiIKvFR^W7Q2 z&d~y=?<|N1T@KzwL|%A=p#Lf!ft?`;=(MC_>>Br&Pl^U~ZPDpNv}C?pEDtGGA$8rY z17xivV%0|IPrZh4JXN}kG)bcuBg*KJy#R@~`Qv{#MB8}Ss38J2hxRS7L3xp4Nu&&t z!0>{x!kNA(sl&5^))qK}NjOrum$zOdJWSc8M)(e*VSPT0$Dj0jkL(B3YLXG8L`XCVqnV;jx~4V%2|$oP|} z6vlG~aJxIc@n1#vtlYIceeyItUM`|D?M0iT$-PXDXUV61S5#ctP$`AIV_Ez?x4-Nw zxc=9g6#+qep>s;%YgT8oXB6y>JheBF_>ZoSb2vd*bYVngJ5FjnFO@GO;UP)+TU|rj z{R>}qwaH%3psO$i%>r*#Qt#KY!NK#k(pn_@238$473C=F42W;QvxL3C2 zlyp*_4%(ZkKc*cBq$+1YEknahiP}$g@8vGqL25fZ2hSX>LK*1c(C?co>08$i!$YRD zT4utuA08-|u*KhvYo@qTN^5(9%tM@#^B}qSeSK@@DUq*rA@{N7BCh&&k@jjiYn45A zMS}QOAANFuiNc*-giYtr#Zl{7J@|!$({HjHrll^M4?xbuea9N4asG)s8E102CQVp# zgOw|LkaJG^!4rE-q=?-mQjhjP>YMALfL0fw#QcNWV^Fm_2BhrHB1?S3IUW;OD{pZZ zP34Ck#vWUNxw7YRp+W_zoOLM~qtXY*UglbIZ%g-#F%@V6$>0=)Y8T^UW;8Y&n{~)< zIBcYwNXi{OyQ(N&({zkY=eK7$s!9t+tsQwqRzy_^{mmYu)ig@(xUDpqlyK}Mr5*FV z-{(5h5p41+%Ktk~ZrjL7w?M`0$KU()+=2H{?)#t?(;toyiv+5o{<==Q1vVanQDHz% z?nj^A_(T2FP$aK7D16kYZ9yzqXRT04%s+%<%6;TlmsAH8_C_F2A~TrO*#g@#FGkBQW*z4lgM} zvO<4rEYwLT*P)0Q2`*{>9|Z4p9x!MguAQlZ4idy`a}x-H5rW*$QgNujGk< zV)2y%;hP&tn|VptTTZ7nbG+iM8(OU%$0&c-QN5|zrcPA95ic@UaH`trlk%FwOq2bp z&T*62q~)d<4nl522f#p}+=yTsffZJz{jr$V`*?duo70kJXFEjei;7cot4k~)@xTvk$C=8h%;URaIr{rQFx4I%K z7B3m~0f}T=6U5)UVR8&6q%K5Ba50jtWNk(8B28R^#6v|l(Tct(5QwM+fh++7e?^Lh zh@hA8(9qO9reSrrz6?bGj#rTw{NSssp`>$@yF^s#gG1!=j2MnaX}l{PtGW$0&LpZ_ z|1&La5hZ`q7hS2P_c*S!cMTM8yYosl#U~wd7vTHHWza(6Mgag|;sR+{5q(uZ^k*IU zhbyDEf;1Vunx&(B;1Z7dWLc`>dnOqI(z%#@bNnAul^c*r4%cD3 zX&>}N?|5eWX+_&(BhDh?C5;~|H`L`C)MrI)Tc)Q#x%LGf_C%gdL6qbp zFKvAqG9v0m>!jwB_9Cw+_`BrJf-{|0ih&&r$0M}F)eZanLD8+-Ax+EB&D3W$pF!co z^l*$8E~@6cxNNej#M@s^$5htCjBH@svAkC#6<4M0IN~{X))B=26bP-pg&a19p=oPP?`;3it zL^nA|(MZ~toT1?u50jO@DQtz;T0I*?C6cWY_v0C8V*lf>XGCNEgkvNcXa6i?_9ciI z*T`jA;>Ux9DlqU+;01s$woz4LNam}fS--!i9sqE#?%iQ4WMDhq#iKCHm5T*vJ%N%L zQ{u-{o9slNuW`ezM4)c7gbrDJYy}$56P1q*zvu&ck%v(jOlT@f1VzCI^hOuQA?q#h zLO**KAK||y@#+}6u{@C)M)*KNViO?QXi(#&OVKe9YAHd~dV61SMN>D{K1kyUM`4H;E&^Eju~U#xj4L&D%gpyLX7-nNH;K@e9D zRA_f~qUJa0kZ7n69O4b?k43TLi(@be8!~!P)W<6zv#8*p70$-3eYKWoR3drhE&#c3 zMqSN!g-z?$=^!9z-h@Nk0)%D_hG2 zTdx?t6+$Di*BL{lMjn?HMKpj0vU5D}5=JWe$C_dN-n1(HSDB8S*F|6nOv6lQ_+CLVX zm=w%##D&(8CEkb$^DAV1pJkh4HxSuDM79vk{=?H)Nzi-ueR~TNM{ojaD)0^X$9?; ziF3*L(F9_fMASV-7cxm%J$EScv*`Eu1TTPG3n}HlNC^vfE(WL%|NzuAO4)|sEzjNLhW;f5U)?G($N!6vKec~!bZ%Qdg19j}4MclgT z=Xp|DhzC0xKb-m>rg&UZ!gU<-lbgI!&`M!@%=)9a`HkD~JqXY>0TFp-dj z#NJI}@7TMQ*gJNp62z)Ki;kZp_G;{{cB#=&R9o7JQIytdi>@eDonLh6^m_k&{(P?I zy3Tpdxj*;qfq{33i}L9<|8WLzA1G6X`B%5uqL!3Ifew~R(6x(C6Skm4PW0iFq4Ij&4OE+DwQ&riH9BB>@yd(!H%TJX7Ind+3@ z_GV~b)9lA^8GClv0GeCq3HJxv+C1%3;kxvVIcvK(5>Lvh4z}?7al!I&vTI7*BK2QN zw8V9C;hVgMk~fk7%DH7Qoe+Y)9PrW$# z0I`3DC#8NR6?6l!eu;wY3~lA74IDK4xDqBzhc76I5Bv7l?Uv@{knitNSv?ujUb%yg z(K;TZIv=O}y)3!iqQ4A3GxfMCtS~ON+dQR)3)oF1v~lL|Y+aA+2o-s7l84;)KlnT} zPk^Xkve9bR(rSD`$*jpXG-LPEfYO-{wdcjR@i0p{*{}W4w|L}#_W<-Uu*xDnFYD}F z8G9zlBYK1!C&LX9VN*yCj3G2xTCbZe5lDJ|ToTEo53aKJt9;bTGKJ1;{-g zD=3qys{3o?85Y*4FIxL7>v^KSW6{-6ln8u^U)4^Wj5-3~!B04*ogL=|cG*7&73bQh z-%^l&ci1kUFqJQvq9fagPN2uO`HfmjKIf*?lNe<>;Jn9pIs)gGNfM0Pj31CQY;FQ2 z#q!Mu3N8o6UgW&jH!0fopMszH9`u^R$@bbyf}NYFWm!dHt-2uhQ&q#}p@*+2Vn1n5 zb)pSv)1d~Zdz(^R{@%pPW_E4~U^rx0I;Tw^T??C`)-v91Y+diZ2C3N$CnW4hkx%U? z*!0*NSJKJWp?Z!A+$&p90U?te>zXcuohNz&f|iw%cPdXvlJ5BRk4aV8U}KDh0#yf$ zj7==Vcrx+N7{Eoz?ntZL=|+opgL z0$<#WFPLb#r!+x+!@*Mg25$OIAlY+=hTZHn$+rD~xr-CWTHG|>9X^~Cd+3oq(Du}W z-;MZRf=^TaE=nXWP()xn^#ZQFq)ZKVpZtpHYST=3JiM-VDw-B3HEb>{D$7>eZ#J8a zU&bw89t7!130~N=Mf1p0v+Q2wNxo(0HIqDB_5Y3_MNMZLawT3iW&V32cupPQDmOhX z1CR_gzxHWK2xBhM`AZ;t^uF`OBTHH5y=`a^`G4M_P&REVGCQ}PO9Z(2I_I3_V6J#A zmyg-Wx%RCjFd)m}q;ZBuh>Ts@-xbT@@FPphQgeF&p=l|h>Cp%6G4tb{g&fpb(jn;I5zWKw}d!2VC3##KFyh`ed$}Q*@v!=QXGL=CLyKkczbS94RUrCidA;i z*|k*xhY}2B&_gWPUCuqkvHb5Uk5wI{L+W3LQ@29-;C`A^(_@E|!*!zO^Kj~Gs?~Lu z{2W-}fpH6mR$d&=ooA)GlvSm=w~JV6e82duQz^3(YO(~f>cY1Lf<8g8X*w!Ld_WU%Wy$?Z8SnhvCD7~x9+DkD}0^##lA@Y3D||#X!&qX82hVwfopxy zf}A65T#mL8noi1hUd7^^^5pFo;Yv;07cC-{E%E~^B;BT_Gcw5$8k{Qq(vN7o;h!#UvVg>cQu^r zfmqr@I>^-)E$kqDl$du+cJ7WW=0)H0`&Q&;Gu980dJ;u-aCbMOCUv+JVl)nXlL7f61X zAD=zlU%p(SeoW#{3U=KRkqLpYxNN-~aBBkm#p) zU$VYGJMp(s{ zLIca-1OI;VkW8yq#VLjI%r6M-qJf#$?Zl|g&Fm8?yMd~*R**N&*pTXo>>0sNgdV1(06Ytn&cjiR4Hiq zhg2)ItYOrMQny>Oq>O;BmICs!m*En;Kl9;eSH^2Q1?BDKl?|n@yN-He?uO+?5GqLR zx*Af{^=_!r@Cx zQ9tGVTmjN!3@k%|WxoGUzU(h9*{wOhM=0Q5A0E}R@tp_ z-q|A`K7}1rPGS@b#Qi5rs_kZ@IS_5uWIs1wevtQTRq;a7%;igeCbG%4NOK3G#Jk;o zG{m(9-{nx2ujD$!>x33K0d>tKp~0H3`_Q425@vl(YQ{gOG^>tS0%Dh9yq;M_2 z@Xs9LHX@Z6rAj~Wd$Qcpc`B-FEi zGSYlpRDH%$a~la1`#3K0k4n?bz-fz(awuP6=WAxNYty@SAitNZ)MX?JU70u)Y}^Dl z?0b31ET`DcF-I%5LrqeeZ+H^N1#6_h#Acea8d7Of&KxU(<%(y7A{!-N#+kZakgdUm zi@W6uz}i>mPa1LsTw=Y;BijZ;*6Ur11~?xpMx@b7PiXIxq?P2TQ8)1Eue)02pD6HX^O`h|WH6-4oT-9Z zP6H)=L2B|RBxePZ?d+?f%5l}Y2;1>@XzdoHv}uWuLpd|%I=DOwdK6M>?Gqzgl`M@1 zh<5ckJ#+)s;NL-^^G%q3>0}Z`!IzzVEIt5*?nWR0T0OUCnvG)-R)|aSnM3tu80{vS zyua&Zj`l1*cCd~1`*>YHik{stpkFB1j-6S4_v zpj(j32Y8JR@nQodPC!K^9E5v9oKQ(E^(V_j@VE2eaU{G z6v|iMUlg6e$yFVS=kt8`&Y=Ex(f82@=UUSF4`VtCKfmLVTr(t4?Xi$_!=OSW^%x=y zN5gRMg-(A9YE}?xMw_sTV*T1t;RVfJ@UED+%&q#}B*>An-|OO((XD`VIa$f%^%zY| zblokuE#~4(Y}VNGZI)2SL_}AAKua50^{1icaa0i0e-_7G>MO4&XZ!Z|jF}?76*WW! zFkZ;vNO>T8Li$P!3!oSfS;pGj?xBWH30I;nzY@06U|ryn@;yG0%X%yRioQ-vN9P+j zItr=%1DbAoQ00N0`Ei3~4BpJ1p~bGQII^$)d|lpa?0pmH7O#+3V7>45Rna=&8z~*0?vKEWw2uu%%uFf0A3Q9ZiKw$b(rgW?X zaE*LX21hXZv!%mv?e8P$HBiNLQj+)w?reG_i!ga{=yl0X=w%G;Waw_2uNC@H_|D`Nr>8w_DLeAcfEUqg&(X!O_##@h*!Sj#BJW0R&9-uec ze}oJ0$Eo-S>~mcEU9xccsic{N_GK-wic=8APtH|$R@ti3o-S2Jeo@>Ks{2l^$Tzp0 zr{z`_W9dN>9VYD;MI=d{_=M;nDzm+LG&{W|ZcR{9^?K@xs#rJHMv<}A z?|tt!D6#3G+SSSCRtx4Z}LD}FJDSf?Q9uTvv1$`vf&V4|&Oh#vVX#{21cVg{xfASd4x zC4in5UVS zhYUx)DsgY7Mzk5%mYE1;z`aRuZxmND{e)Kr%BI!+%bu}Jwe|HCPpKu(*lHzVDxyxv z&?U&uvs2-AF!aizvULf_;7FE#45dB}l9GPn-i|otcaBw%(oJY+I~|@*hInPDW}E}f znDeg_PF5`@`E{thE#pN4(AP;I3Kq5)=nA?ac@GruR*SPq5E!=yR0hJ|XTa*|rrRi$ zF|1__Q;b_gvQO*Mw;;{paq*jhQr%4T+nikAcL3__*msM7$3X#rFy32i?tglbf9~T~ zU8Uux#SMV&pK@RcP42Jul)Hy{KQVai`*nWp`^*UNcc6Hken7QKd4H{;F`U*(DP$Qj zLyCooL5ZM2Rier`GT6fUOt$QGET~4GKSU?Q5Mz_kob*4mjgunC-W!nMX=AeHW0(NK zYiIf?WQMqxo;%_qQguPa1Y&TGKv^p>J2A{YTp>-&sJP5Wonk_@P^ugXZ&`KnYSLLl z@PA|IQ-W+2HnX`oVfi-|)RvTrkEi2S^f0N)j74ZA8~XH|(0H3p{~jE;?Y2n~e#OYB zvEkDsNY{{rlNq|lPQ*F$>^lMm$p^uKht^GPYQ3UpUQYgF++Q~n@}NX=c?U~J^USd! zNqc~}CMW?JY50wIXfbU9&lgLF?N4itH$f-FTz@Uc)FFay?2!lz$tDB8M7sa7Ep}fH zILwyr#6asa;_I=}8d*V1x^!n3zCjBnS`|M_yEukTXx8Ss5~ss#QFY*GpeWjxad`3{ z;pHAf(4=58!yGJqmxYCkt(ya${|843Z!|ff{?L+{AF+oPzkBv3@5ml^ir-at9WC2DTXrB!| zCG64pz5q1|K>UEu1dCer^9oDWOZeI1|Fx%Tl2 zlj`w|BHaSX68j>S`6)b!x3*~rivX`E^1R>Uev1f-u9FT)mvUQjtGVXx>k9RW6S4lH z&+lf9Su)_$3IXn6E)fhYFkwUXV8K#5Kix!>*x5>IqMa8peju-qxW12 zwE1F3Nft`gwe=PZw4oS;-VWi93SbP3cS{5q8;NKshV@&f_6wvZKAeImr>q>aI>O5`;HDN%7b)nx%NkV?62Qc@$ zbjkUC3yE`*GJ1GWaM3UWIz@IH!(M#PQLMD%_E-xRE6H<%B&kNKziQ0&EQ8kpm1>nE zhZ#4xz}3OKnHbV~IoTo~!BV_1Kc?~y5|ieq4C+3e_cst%Qlg;QoxZ)Q}oWY&D&mt`b@feR>;BF5SJZUyP0Nv4ubNm z5^U6?fWF3^nNPO2NmLM;B8Uk$7gmZ7({+gw9pRoro#`;^C{`5*Y2Ih z2>JyDf@bNU8V;^o9K27=gBn#t>Yh5*uwf38muMSe&>^vceSd>*ZbCa+QxsS`GxC8e zety&WWeMN57xdkO|J5LZuyhrrX>rB4YS)sk2bnrv9H|Z*{Fr@D$~%LLTLwW_(Kk;U zoc{*R?rxz@8C)7RsrkE3lkJ`kVP5`AdzSrJJBWsfo!pw+lj)d zs-mft9JjyJ++J|w(kr!jJ|`L`WgpJH{P2%85M`U<)m+?~^6Izk|0syT_TQ?!L`yWv7#;1joPQvovozAYLylO^zLf~7L)!$V zcmv=*FP6luvfu*o<+?IYKeNC$CLPQreG<@lagt|a5R=>W2_q<+T#Tl}M?VS9W zLQWedlQjml1AE=bb2y`@8g{br@QTyT`DYu@GE{2W9#n5p&EcF)Wd;X0MiERp|IH_K z{s3x|sH^f`_ThkT!%*qPk2bV#$yF12rIx(!(p$?`GB3L;guJ$@YMra#;$K!q?z16l ziGv61S#ORhmsy0IbVc$H-Gkd0^rP$kN9?@9}>FRPB~oLpkdlML73?ZBc|PolmNtyFm$*2na~Z+d#6a5GwqMC{O=rkOE_?ReMM?&G zI?rPEUh2t>&qW(v=X>UKiKz27TUs%$ctqK$eUEqdKK2U5^v5$=a-tl6;QRUzxxlH- zj-zQW2LcbaX=h05o(BC!T^yi+bT1suuSSBM!ajSl*nyYV@!8}4-$~Y%D7<^=;cX@% z=!4{^s<>D-Ot<_}$GW3hhNRA*Kj5m=#5dmGKLB@XAPCX;w?x>hIN%i$sO3#w08ff& zG_fI+*ljfz#MM#maHr#;mx~`UFUTnUhq1q|()^yB3i@u`!G}aQ)CSj<4vP0%gyOK` zD&?tKYRFVC2T(rcDr6>B>kkvlbjHhaPW>rVeR)eLH z7H)laeuw#&&Qxljj<&Hggr-$l2-44|G6=m8JaTQ3&&Kq`u{W5XrC9#m_^AVD=TVF& zc3~gSJV?cQMV3JWd3hE+YPrUQ;)bH6YN%U$#0AV;V*5mJV4yl zAcpuK&^+YGG~WKE1FUDqq_nW0An?kfr4AD?&Ve{}&1^|;Zb~OADOBnA>Icb=co(Wu zrpU)U%Wwgn4FQ1sLx}Su%Q21}K$)ayOhQfYlB%tuLG^rKKG#&O9y-Q(w506KGfn5% zmyFahJEgv`_U&0>P~l4=7bGOtgHu_M|(Yx41^MLS{^Lz0cJ4{P5!y z<$$61cBb$HFSYsVh9Fkqtn$4LV0?qYf1iX?rzUwKddNzN+XB6sMY zzP-9GX1da0X7RthYriT~-2?YQQ<;#V{{%*9Z(%Rb|M+>2AM@UMe%MR- zoytlg(m(7bJe95t7g4(%)X|;xc@A1|o7;qN9XPVgjb(mqiM!s%FqGF+qo>JJXWr9o z8eQx;cQSn%OSVLf{MmB3ZuV&tMTUNHft8~6$agiOK{b?Ovb}jhqgPOBB-Ex*&P}C@ zuH|;kt7D|CIQBU)tk}reaI>xY35B!D?LGFhpbo7Q8TfAZOUL2;?)^q0`FTsK?D5 z5$*9eS#9>SL0ug$^R+di!N3nH1AbE&95AdwSe4kC4pTqw0UbPLKtG;UjaHgDu3`NC zRUm$6?yP*Tw^}ooWK`jnrbtAgtFwgr?ILrDj_Nv%L2p}&1+gSeE$dpcOi59*u?qTX zxp^f-uJYLcN~2)&uz^$3#We7~ps{JZn#{b0GUfJeAC2cuj>GwD6?X>r`^N5RYy5ZT z%adTd*@1I2Vf*k;kTpWBZ*P7m)vs&9VDoia2)sLVsN0-ac%=8_nwQb@NXGbQ6?!)? zQ{H!?`9JM>fhhl!kZfb}>Vdm!N>6*aFKK3(7k96#^?g`o&}J2C=9mR`AF$Z*9!yD= zoV&W4r&xe;uAWe;CX5PH8(7Zb#Z_xV$Fn5P%(Q120BUgAXM-WHi~Ov`+c9}+bAq+5 zjl1AtzvqTmE6u4Sv|G)Enuua4oh7@-zD04Q{DwA6STivYYd9 zOwt7Fn?~=bo5a(!X#_%LsNWys7Bxc_F}eW8@?ysTIL zLHm;e?$5QXYExyj>^b^&UzSY)=>Lcg{9Vy%{GG@%UU`{_?8qYMa-BiFso<&utXu9_f2F3`So^n(7)(x zO}R)$&&cMhKdtk3%ifVXakRjb3(Gr z2kjA{%J6O=uWj8{0ra`YW09N060hfFi;F-`u@J3I>6uzjpAI_j@d>M8pOmoC-6fcJ z(gSISI2&!oQZLzq`&5-uj@G}bJ_p3Az~8S|AH=!m0UxT0d{01e1uxxwKH6h&z+i&} zgBYnON53tJO>n>_&q^D}1R@}=XZ~IEY%aV*Gp9Wo7} z>ql4Uu;9H!_X~8=PEbX+ZAi^zcmBcf`lzbfCRL+g1Ga;OiOe*gjfe_CJYS@m4>5T) zJGmt8Aq&Fd0B#i<5ZKwx)}szncfTUW*isD$L{@bV3#uA*`|Pt`n+{k`sa?Z6q!i0F)f!b;=s$oB zEJkSe5!2lz2JqLXiN|@!NSHcn>&h1KUsA}FFM6oDc#!|;usvA(nZxw_7p?tO zI(eR`NZP&8>@|KwmDzWkUdiCvM5=E>y~r_V{H9ie-^g>)DE+A}hxa@oV72)hP;FmV zkTLU};K{V?ps@R`-3zcP0)kr#F!jXObfVhk&{~}eC^YJsP^v8~(PjifcFR%f?xg7( zJDmKglNF!~un&P#B2V1v)zQ->f)$2KFk@ybaF*ktfpIe=vJl|X%E(f;hZNQQf2Mup zv^vXBR`d{4sWodU@n|#KazKl(HhkRJ9|3f|5G<*kd!NkSuYCJg_}U%)m-^z9A5N>^ zN+ae$18R~gPlblrk!StSl&4qmTzqP#F!4BNOZ>9&D9U5l^mx$^%om;v2F=#|_eX`c znNXf_`sllr=$)32(Cn{4;@i7cA{$lA+?_iwM}JzHjPh)!zj``us5zL;mRdex4jn}LH zBOmukEWp?1gi$a4 z5mZF=$p;3C>-KU3%izXJB?i}i%fbN>IC5ZiHe z{QQ?6>(Be{K8MLicmHM?#BS6v-3G5S!MY5})2gg33q!-XCR}D138xDDsI}ag!_t+K zetal%2Et#I`~_g~Z7)mnKekwY4gK|hhFR6e0h9s+E+eaxai_^G8!3+L#N9o;qQD^0 zQNfky^O!4vEyt_d-@S^iwPTMtl%1#OLgzW3*ls0Y?3#fbQ3d&BaCvrehZAm#?q-b$ zK$GcQB^(XuFu;}H+^%$5;%=rTm6H_L7M5BDHs==K1x1_mOhEI5ql{lFS06nk)r*7i zleLso0^GWr%V;fAgpuV+pxB=V1)?lWZh<37LlW_$u}yV8j1q#y&{`U0k(1j)78*cM z6~Qu$53gq3qHemGSx9O0(9LAF`c-`gww5|Zn8HBva2mMny-#VN1HyhWzYmeQ@kJ)0 z8^I(YCQ!VOa&ySloavGB>4`Vu9kTCdSowUcjCK|MRYJ+=2ZWGv?ZY*5TW-o`+)1M} zeYR+Nu~zi*FcaC#Sv&wxjmydecTwF%5d(aYQs_qn!-~0VWw8Nq0RI6(>k9{{pj#Ot z#uPEhQp~4s;kly&d7?6GQWmW`YbfN5oJTA9J5-Q;lQ0BVbHsCt$rT}d*G=~?p-bL% z?6m+Ql$NDB0z}MGfiQV7l(3d+Ry0Gg^*q2+45XygYE;4{tIKjUUXWdPCZSv@GG8@U;2m`A z+MelRE3{U5>gx>pOR`9aDCr(NE=oi9KtBu1IMOsz>B0g#mt zfxq<>wdn~5HCI&%jyA97*v(j3GPmpzWP-SHC(R#~!{E%OA7-0(-tQrxZ>xqzgG?8DWN;ETn^TBE^x=>Pw;+Ddi7* z%#4l8N+onCMYypeY-E0$vd0~c>o)2yk%PRpLoLnu; zTK~u!Vty~IP}^k@?!dU71;t*H)*gg23@yel3B9hMg;gp)-u59loOLWfQs{`%!w$t$&G`Kq?rn~TVGv@qW% z(DBD;kO45+f26IFh3b(7oN2SFJ+|59lrbcy@NGVZIX)wDB8O&=z^%UY9%*D=?O?lq zF1DlE!+o#C1xz)JqaC4$&&LI#N9iYnVgzkaG-K5U6qXP zb+VPpAyG6pi6UTtcP@v~@6pra8rN(sfqzVq&lLj8I?}L}AN!34P_U2ds_a`bgQ;Tg z`ehzZK%4u8TlZ!5y6BXzlVSZpqHb|7mGJ_lN*M<@evsKLpW-4kK?5n|BXem3Q+Gun%igoC^xj z!pF0FaSv}*x7>{a9lt4fBClPklPcZr^nQNrI85>OSc|eEEIJjNG z*3LwpK4q!$R9dVdz|~ysRuE;{cX?!9W-0OU9mh$>B%g@e6*6U$wR-yDzICeLA|84p zCQkrjsRBS}{s+7gp*k?stfi@a%4obu-1a6d9*&49Vp4d;=oRv`;+jH`Y4;AlEUYqDoufgOzosRO`M+_166Egxm#Zv*5chn6 zI7%sm1|vix(8!TGPFlWj*$PziVNK-ght5eV<;^glB|LRcSg6$O8djz!uCe|LFhnU! z^H88%j^~wOjvsUIY7{3O4rsP8bu^?TWKo<^ENAu$Tnf!NLA}Ae!C`L<3w?I3cRT2| zi}etdZ%*ZJE>Fs#gaJ6yc;+cIgfh`3q;bQwHiOnF1jvczbRrEE$_qWF=JmrJ0@i>N zAF_;Y4`7>VwhFIV%#OQX1C&4c)U}#7EY(E((p!)&cx$&Fbh__-OQU?rn8wTeD3&sKRE3I*Vn91p1H#$57*JU)Hd$UnII41DkCW#=Zn zfRRzc`P8-(uG4i^H$1!G#$&?ZGTWNC1{1M={g3N;Zs=uBx#ynh&#%P|JgRn{sph;= z=Ebinv+dK8HX;tWt1vIUmE!g!AOdvZPr&Mpe8n=(ki%@V6={*4r^Zas*d3uRAf$>o zP6RjjB0x>p{L1;#>%KfMvnW2*^7wxsqsXF^CQ&`N*0hNBkHH?t!bWOAoslF1ys_#|U_e60Ho~0Z=akPE$_-sHTw%72`LXk}AR|bXHc9dM2eDlst zDY+xCPvPyaA#2lXZ+%^M(XSsxHij+ve2|dQu$I|ghlbrbMHc^bI>PLzB8}Hhq68#$ z>QNJo5+7}x`-z(8|Mc^%mP$3#KX=oMvt(@@KP_=VaFBYILpdIVUXMMesLG#jt7I28XOqdKV<1883LRGljsN(&@=w#va;b`?KfVY_n4h zHJuG9a|I#2nxqz@0GZs!MmQ0QV0z3b=W&Mqje6D~V>?dQM75F>GFQfbuU<>4}{B(2t1iIN~T z7?BoDjW-FQm-&OGMaL(;M`)hkx@+)V;vqz~k|5xngZC%grgsWrK1uf%L`HgTJbGRBjsi(_3=1+d$JE-Q4GuCUTeOdfY z_<-OXci`rS-PI?^ZaXOdtAvafKPSrZMZNH?HOO7DZ0<@)+YUeaU8!BOE z5=yvQvEE{bS!t3=fwWO@h*Yb8ESCk6eIm?Z5UCWp`48-?h|u|8%%pK6zQOFGz=^ z)vGaF^5Ee^aW5B{R`HFywi$Ja1Kyp0Uq1HWI*t(FJO4v?SWhK0-n#j6SGZHX*C1^Q%^IT$r3ySrH^-B^5Xa(&G_hfZj%TcKdvBqC{61r&FL`% zjPifpT;nairZ;!kJQ-et%9K-WDm4;wAP&1~nMxT9BKvzxou3H}7zs&=KPc}U|9-0q zQb67uG>X9AdIK3xd9G@=9n@Kypnd{jv7KrGY>ZV&R2XkuzoDXbJePm6MkxW!WI%0F zVW}k1HM)D>+1y5h?C9!?ukRKaAO7!RguJ%^C<7s{V%zJs9TZ(qVHJ3t*lz!AuC$$R z%J?{$$z$JFVZUQmYEqgK)DLVbyvGtPfJu0Aa= zV3L^O$gs*zw^snW=b>7aQ_%v#t2HB7uj{_J#`sb}Igv5d+0d`=g?FDtthBqGuJ6}s zY*(#}dpIiB%GZZV?ja-FA1-u=#QAQY-F$Jr-cUoo!sfpqzCO`=js48+=_;7$-O#b> z68RQWW9_8jmdcFFA?;#n#hmR=gl3onY@sja;0IzzydgVS^rQmYG#G0*6)dQ4`$!1m zkK;G%om`yD(?aP?XBBIupu7?zCgzn58u3R$I`g_~_Ht!nvPH^`iu1Qp8WCId7E{5@%2(wrbjy$_{Ig4+l)Bd8bMqXt)@viwBE`lT^JV!eq8r}D ztbKdM@wzFZ?21u)rhvUMQpG*vD%Ofu$qv~rfl zC$eJ3Dyq8D&s1FVBDw~t=v*Aqc2`}m&xLCf5mb=8(8p`ug%>%8EHx7tdk!ex#}s5p z(*n{)qi!B)DKhNSMW_}CDM1V~B8E>GbzF4MfoshQ!s2f>I}j|N(Ys1iwQUovAX*jd z3i&tr4)^t6#U)T-x0ua&=Z@LRqcc)<^EofaKlJahboLhBX2aq~`uQ{tX3Da(KUTYi z>GQ{QiWFW9Np3EXIcb=t1ZrR~~CSL@Yc%USvE zdQ)l0v9D>ihhC^G|2R#c`FiK7+ZEke%R}ePUk#w#z0UWmmf^c;z5~v39rC za)=g}zD`nImgyca_wniUcPid~iT%#90lfaM#ahLS7I$Pvb}H5uQ?$HVwS3ra9}S@L zr|%Cy3b-v0+dvF-2!Rti3iVkZ{xWMVkhfl-YCQENFAg`#oHfv#*~cS3_zsqs?yG4D zI(c63!<$N~qb-ziqe~xCwq?yjpFy(|yjW!Wpd^p@V(sj|iD$a4qg`Mv=%@M&k9E6=IF+_>8pb_C0*-VDj9Ng6tG3;{@fG1i1t`+__U)$ z4Mp|jJ|xP|DfYN{ZwE+LWc6-Cb!udLS<3dDWcTVg*=usv zl9!Nhvy4IDQCbv@Pi*D#S#n&K*W!$IuZib--#4?X5mpEviiEx8TK+hbDp0va{tS%I zS6!tXvx^fJ=_U2CYykHSw)24{60C&RLa=mg%a=o^*T~Js8g*OKLgeL?!cU@_ouK}0 zW?n8~8zc6`GLej#d`S#~e6_U$mhTrB)N`2C9u})-l8XKtVe$&dHo-`H+#+!p2hG%R z$hMJIz&r&c+(|P{0yHd#5b)+&KD6*`ZJrnOO!4#@yw>4yDk&VNFkh4BF^Car-o8b`}5(2Z`p27q-Y>*mRcmGo)H_<>SyGFSd11}`rCY@ILJ&cR2nqe^95KPu!% zAx6xi^lj%(Uh2nQpaKrU4my}Ne6kd0JTBNIlp|2LxE)L-LX|{7`Jv?%kWkM^S7#jc zDe`rTOjMhbT0G>Na@eWYn1-(KRlCR01Ie9pbGcCiC>GpWy`t4``H*THjYV_&%uGsY z&=y<Y4^apFcDLWC;`y`6n@9SaWTwn zxt3G?Jj!Jf%SXC z2DtTiv6u2^r6ROPs#eY8(^$dI95#aKOpHyjuWDO1#_KDDb*7aFeJ9u>JeZ((K7FDxq^-wj;r%qi?el1sF>{N{0dKIEcrGbIlU_xPbP z^c~HiB>91o$|&5fo5f5#Fah}1ZmgOD*TCiYZ)bysE0X%#Jb46zGYhq`*0Je3ORC@{ zfuv(n@)UXR%4Lbr$ZiwE(y7{-KaOJ!(ZGNRvOy0m+Bo%Ft1@D zGy_*UonFgj%w}IUZR7nhdOu%sy0pn1`*uLL&A}CatSJ823Y?f~Q^1ByT@W^(D zj)Gs&QQMYz;GgcVD&z9B7O%lee|oGnwh5)y6%Ur?y)yb|C5kvhya#2Ek#3+gdmlBz z_*|v~Rr^4w60S-}$Ce;Uyy7g2X1jb4`n5Tx+i`$>=^V^~Awa_z$)g13;)^|e69?4Z zxJdmg>TT*(EfcgG3u@t;B~n%IHuD*ggO+)u2G1TP)!qHJ{-?CDa*NBJktx0k5Yt%9 z)N6s|y#1%i2k7ZLhmGg+GnFl1PfTh2ewQscABain%+WdwS3L`xu~Ljwf=QFpo3aQk zlJ<*`Pamp;Q_kZs`GN4G$n!2H;cbQMkNI3{-A+L9nv7lEtZ1lU{h~?u*+6bRsgBsB ziiMvvk<@bV#ojfKNyj-{sj0xr*JHQpt|3qSPdd`HtZaKJmiFuY>&45nQVn|lqCmH{ z`O%t6YJ%(`Vf;pv7g_DQ)RN(5m6i)NP zgl5ze$UH!SB!j&GK+1Sn;+{bQZ5Ib~Eow@6mgeR%94&Zr3r0l2vyF3x)SLY?!$|Io zF@i0KcedKOa2NDOY#F0Kq6`8|{qTaDmM(`BtyK=QwS3?32@?WWQ-uijxYQU}k~_s} zcA71puNTj9?YQN@TB0Zt7NBdw_S<4bo8^r&mOsalO-aIq%~!6}Tjr5CThyiqldn)A zY=YVvUVYtkQdoP^QolSyS?*|}@)#QK|_gXTEnan2KX_I)e<)E_;2o z&NIYUBO8_>KE7J7yRj2OtDMiB+?97L6DFxr^DKpMfKU`({Q}FvcFCM5*bn4~g^R*j zP4G&5IFjcq(hlLcA^ChI%)C+kBL2IQP2&87FuCR7BG;H2PTJJshHljj^YKK_K;uIy zhts?QGec?>ZwchNFwcT~U6JD8g3Zw2M1Vuw>2y~~8HLjp%BOA9o;?~x&k)PA&C7>B zRq;HQ$!IA31PNL|fP=+|{u#mcT2DBGC?w1KY7(?e9L8C`G6);64t!j>>k(1GLZ-T| zC(q8yKd`EXOrwsTtIlP>JC{`bs2`tC+Jl$m*g_67uF~J~es{jI^T64Aj5jeS9pd~{ z&An#&h1+^OxxI?@2~^+0(C$U&RknxeBu%(HL${nM$F$(}!|M}R6|R5)-Pb{S3(8GC z)S6(!mUS!!Rb7^pHI&HL|Gj& zI<4S#w3^wu8(i)0nIfsp@!BTMH{s;70+e;|>ddVdGgREwe3EQ~&?_gY(1UgXPprl5 zj25BZrb@9)QE^LUH7=tz%&u5{z7K^I)TR7!LABhX>??3`j3t+`5j5wj@fouD+?D(b z6Dl#mMJjE{l=59V;ku~oL9{A;Hx-UALfBEX3V|N#l(Y6UCowb)IOR{G7(x}_z=MtW zuBys6DSeyDok1%6QsUgPbz{#^8(6`|Nv5RfklkQwGA^YQCB#8f7q?OO=#&Dwq%>Hh zy?0Zz^@W|>KL6ZWvzi63FAJMgd5&J>Nm=?Ee%Y`KK?B?NkYuHa+fwswrl9R>>qh{g zYMay&v_|=~Wt25yMo^r^v0Z`JHqCM8F8a__g-^DukwFx{oq27T=o07}z3U+1{$ro#SDg0U}aB;+$K2&Z+l-f7Qz6bJ> zzFI#tw1E)u+LIIYNsYR|>4~#GZEk!kpF3{3^4Wu4dH78QWP09Qn2Ud6+mWEMVt!Sg z%&9nvOSTS|ZklDl{h7=R;V28lAF9-@K(eQ3??1c(nPp@vVg0X7@758I&{DS2_C{Fs zTNs%-L4Q#mc*S~x;8PuvZzd8ebr#cv{!W&#X*)Eh-v^E$vasdLpBFnm1gyW} z6}ACShL}@v-27B-IFMyU=d##|?wvZLz@{1lT}}q(VQ-!7Ir%c>@mrnnp5gZ*)74a4 z)(5M1j*!K1gC@ab*DBZ`hY-<1%>6@JH4oMhZb^Iu2LfPgJPMOOsF?|Q(;W~lWS=iL zr+)q&ggfIWJpXH81_8VfH}hYgH*K*hKo>l0^cmJm=aJXW=1^mlw-PnP0x27Iz}bSO zOsxy>ZyHWIhvgB0v1{-OTobC|E1)G}r6lQ!uvDIEFqes`u;99|!YiPo?V8-6CMl!# z&u#v?P(R4zM{iuclOK*g6;YxEb^jQ?(gIETbp(~2b%^w$nCRL;M!2Nm*8XBB?%=qU zUpw7Ws5g%47$moSb)(d+8LZ3;%(ZpTp18ihfGUPH5r}&u;xA>&6_-nmo*mbr(@a+< zy*6|ZTH(5m$-_1gBi8yQ5b>!At_$=<^BLJ?oHCgu<}Y)O zIsOJZeq>0$2wZgzT*>=Oz2V>3`wbus<{P6p<}j-ETU0M-<$8UGe`=X2b;^Y$)5oT( zdUa<|AJB!3%h11~pS5$FF{;^vRx1hbyHl@u$4TiwnMj;LD(cvJu7ULkvp)D1Z9k`kDNmtGvTL*9S2mQ>HAU9^iNCuud`gc2g1ABrj`qiU}SB_6)pIU`CpSR zx=^2mR|KWj+B9{5hV(U{((2lzfUT3Ad62fBkEfcK(XYm0g*9$jc5Cr4rXg`GYNnCf z_S@|*|MYp){P3snjj;O*IwR&s;0XwkXM{`DZe+-?8Ka~3y$Di5v)fh9j zW~^f=L$a$GBzr?DT9~n=B109WTH_Pz;Q*QDwlDSPMnhcxR&X+&4QPnQ?zLJbNv zi_Pn%Ug@z_iR@J3H7$~?9*`vJEM4brYLZmHU1i(5i33wx=IPwpDIbjR`)FVG{$D-c z1L0!JcLtODOs?$vf^IW7JA8EI!k=8q$1PV;AlSl(S;?&s|C#Kqb0&ergNcO)H^nV~ zy*>^<*}De4*j)xi6uxPCesG1;0L019>*tGqUi5i;c1YeBMrVtwRyDOm7oI=$W%3?; z=-;QcA%@>JCOD={Qo{@2cKV(?YauSVysc+bU|9dmu4gY47g z<{)8nArZa;)@S9?^q^7b83)?uW85~Za>|n!K+O!(y{rbjy$5<;JTJ#~7{&9!GYMa2 z&H`TUKU}Mu*2L%U62ZINhMg-b6LwU+pg4Ps^M-+YE`LZ2g@H*H7nEHJoCB*4y;@oVf`#zF$(aZ>8ly9JOXmBpdp&CBybp)1IQQHX8w_ z0T&|=@c(vnU;7FTQ8nh!JLQ;8O^59{{>%jO+plSw`k6}Cc9%oDE>O3X*vZ+bsfKih6ZsJgvg@X#_cdEbF7KDz4 zSvmFAwD#x!fy$3Bq{koo<=0(Q7kav7r%tMs#s8p!?KHlI(wqt7KYsM-qE+mV@!U-xL2&075JiV`>y=H6X@B^yqLPjvi_qWmV!>uE7!6 zB~Wjno$c#^%*9Jv<(ykWo2i5r}BO?-7X=_xHDuql1VhxFI9;sHLh-L22s zGwzbf)!GfBsD9<9ZTG#MW|B5{tTMothCbxyM)-6xBowe~F zPmKLm7WBeAw*SJXqp%e6oXye8afi!451G9slttGB8AhdNtkH0ts6XBQd4FPWSz^vK zMaM!>Rf1S^+v7w+P{`F?UZ4NXuo#BM{&e4bd4J&OD}S57V^y18TNOc=y;z8WYk-6Ta>oa_3|Gadp3w$dL!<1N>p>h$x+6Iw{*Rh$Oag# zO=)u0JfL~FGAlvOJ!_k=)Q4l8%>e70<%oQd%xp0PUlqZg#Zeen*FMt{6q*WA5l<;G_LHsNu~(mAfed|<79QcKY7J8adU(#P1IApb`yRP`O^XVkx<{z)KEK?u2yt}-V?C>#QcBN)3 z`fO6@Tvd&)B*BdH)g!lWb}AyR z47kQxu;=lWnepgWqzZXzZY=gVoy$MlUAi%RIRDBO)Z3vnA2gHF&1uY}R$m>xNntEL#3d5~-w~COz)akF*zfA&&XNsPMKh<~+4)Vh z)>2(X>TgXtX}i_1=Y3~4mX}SCqh9_FI(Fdime+eCRt$-!yW-v7l$1@ zZ8o^oTb|w$^QObLp?=#fJAY@Be^=fNzt57@6)zwQBMWn%)ZMWR!nQ8L+plbWcLAV% z930ACZ*c#0O@FqV#h%vnX|`YEf16rd@LtofD`Vx3%>DxnPHs~h`ze7H{6o&M(SqXT ztYiOMcA4Ygt-95igwr-S_hOg6L_u@wn-8 zBqB~RW91jG5%hZ{JfNjeKr;RqGyo_*we1ZzhPrn#6`rw-w@Y_@HXW}Dfzk~ zBCVJv6hW_)>!?Kk)}ov`zneZ|fHP8uG1`VsvztM4|e{mvU&i`z4<27C;4>b+Tz2j1pk=CBS= zk)Nyo(LM+Z*;QdRw-;qIK4PXk36!2H;x12~kI1NM>h2xcmAROS{$rJ6j#h!XKfHQg(tbVkJ$nj2+nh6v=_UK$a9HBzCiWLAciQwfcT& z_z8suP6gf?s=7v}F66Jxyjf!Mv_oQEG#PM>xY?MiT5kcrp1+Rz!Lo8GKX67=xGQdO zb!3KbfZIHF>!-X>`;78>M}N1C7uK)5v?s^(2Du_h^`K0-8vS7{jJDO{VfqT!@|~Z^ zRNwp|J5imyB~jNVnGLxrL2i@q_TCusX@Wj)4nft29uG8p$5O@l4kqv)p9%lw_@>U! zdGl)NKUY(BT&)Rqn9V)Szlu5aqii|ZsY+@%$=VhD_+P#K)!$CTOyqpwH?C@ra4kG9SF^4ZEwujgs~}VK?oD!NPB8N%9%^-3lzw~C4oz$do{sl(=)dEmZwycMI8-(94_udQY{ucGzTydvXx^W(U(XHP{Vrx1 za2BH5G7=jR=m!T^@C%~zgAArX#KD>N&>jCMeVWSU=-BbHpsmwr*1t);zlI@TRv$;}UlGTG{NU6IPx^uCge z>|fcgfu{07u5okA5p9lWt1MaB`yjoOZtjxJ--SD?OJW12fGZCSTy4TvU3|B8|I_w( z+{zk3=RNmPG_^T6d3gN4lS$B|h%%=K4p%r-)%ja-%|APut=bwcS8Ox>7>oNoGL3Tc zkX(O9saX3>uX=g2o@i_(e*fZ{{0)b$x%~`MfJ-8cK72|`;RW6T;GH=Gf+m*dHPtL)udPIzf z`}3~`LWAEf!*`olTT+SL=%nUS+lzb3uzC@EyxRmWj^F58Xe{Dhex))Laq&@FaN5LW zi3a9y7j`oU?i7#aybF~}(izha`ZeJp4Xrc7fBr_a6?xf6HnbOgN&#XY{=$A3ko>)k z2?y@3WkI*ZG?b6v4^wdVAKuypUD)~Q-BIL#eSvfpe?98@-Nx<>rwLm};XZXxr^iZ^Zp z+0H5meqsY(5NScAm(HbjFbyh1`gs$y^y5E5uH=&AURCZwZe)To%vX1QrgU}__`=p% zkggMm0ss_RoN>k#HlKU^W)r?evpgj>3;~gDi1j&w>RFC{6chZkp|YO4eVFs_S+RaC zSFego1vB-jYHAdR%3|ngF`{nbA#6-uSDZnNVEbBu0k{Tl#-vX%>17kN^UC21Uiuya zc$f&LV9*1Y`W%p9h?@RXK?g)IYS`rvk$|%+3hu1+34&;ha$)T)W?JltL2m8DVM%p|iWF=#DkYA#rY5MF4Wo?Tr z2y413Ig^LsEUp4zys;PJuG>?AG2X^WQk>9x=QghXK}f_9$mK?wR^xl)!exg&$^N;f zQ6gzTiNE-uH*4J$@dJnN4=&Qp5&0Bj-=sdB(S`gJwq%Ri`GHQrv zc63$^EdsRoTFqX3#164J%xfiic9Vn-tC3=T+o|C5%)>M41BL=)3lLq%L=Aupkz%r3 zOtcWw8RcZB@+n#Kn{mXBECp>j99T345zV;z-KFcsIr;-yHY-RkL4g0R#h0q|gai@| z#OVM5MO=_YH}Pmqa+rczAvO%-(BU;S8xDOyLCz9vvk@B_bJ2!OgLam%}W;D1lKf|T{cr?=jJ%O`k8XxWZvkOcuNFUf^*}gQn zNeNDm=sUo;=Rcj)&?{-za4V*2t!&?Kx={OIPyU0%wv3?gdP>h0#uP^~(_t}X8u!uu z(>wBL&L|@`)K+TB!_+jZt6Fv+NuPW?vSIgapSd04>WKRk$x~YAKi8FxQAc~`i|bs5 zN^c~t#GiQkXgTiV*+xjNb!s5Xc<4WdguL5ESb1_a}{CXlq05Tjcr=y*B#;Zw{HTM%H2!257 zXDVR9P5WD5&d>UT~G_ zb5dU=Cbt3DBLe)R2S@J8{LsNX7@1t>5j!&x%@4cq8WjmJ7z zd#b|g`om+ekhSQkwVg4>TB86k=*Kn?@s*mU&4>S~hycR?%S6p8$mumCA;aK>)9R4D zMY?ZY3N?%St`L6lX}JvYFU9`&hu{SbbxDK+7znwT4CZ6_SI7%|B)SG70U7>g;I(Ac zB?diCfWDc%CLuO#nM1Y~LlzVupJ$L)VyGb(QlKvF6GPj$hCTponI?wz*N_+@O0gIT zFvtuwY0m_}I*IL2gD7gKY65OiL&Ad=Js7053dj;a1H_?Q)F3M+jF2Ft9Axl|Pv>tm z6sieM6EvEbw4j3aiuHW>28lJr{{n_(YT~cWI{Mn}aH7}_L~G`N3OLk+2`ZVps8K-n ziD^R<`6ZLKZs%by_2`XX{+xQ|(5T8Wh~0H`i_6#Bly_I{~G6KT220qsC zW4Rwp?F#)P6zt|WO~M7vm!ewM8wf|0D~+8%Uf6B$0_0@ug`E}~P2H_-8I@*1Y`)Fi z$o7ub?_6lv>sk@M=U-KX(8XPLOkC9PrCX|4p6U@C>EEl1UIj6e25m@B5mWfbiS-}@ z_(aGtwLuyP7~;|jm^6w2gBI)Msec+Wd952P#A}HEanOJWYOO~4O+qV_Uq{I5@nK*V~cfk=hS1})0C*n=Dc zmKd5Y*5eZ%)3U)smHM+PWQ*!2UV;2iMFUh&hKdSkm!vjcn-`rpDE`A%5J$MIH$iy7 z*G`YnWK4q~&e(3XK{~-;q$v^v;0gqYG=&hMvnbOL*7C_63`7t|&yBIj07(24!hZ~M z%vTacg+HPpFhGk73M7rI?{kaf2mmqw{0l$^X^dndNGW5H0^0oZv>}5-|FB8lTB8@S zQ?E#K=!}@6QBl=Q8rle`tRcxoKpJN(lR;qr4V8)ay%DS^=hI$;4CBPm?i!l#YtY*K zn0S9v)|Q6RHk)0$P_H+34n54`y$@$^F%O1)5V1d9R>1{*7IxcI;EYV7X@bK*eSqS{ zETVS@MZ9CFwJhd!fCbMbV&K-0u4-_@)|K6uEafr1hA?#KP_964 z;3OIBeApt}t4OSO8w7Z$krisB83@3tk%k}uts%Tp?^~%Mh@L>a7<4lM(oF-=4tnhY zflJl<{t#0tK|m?Dx>T&6!6o?tiz)$dP<`MJ_eH9h@_HL~4p{64q4)&QZxsR#+TN!r zXjLQ8Dx@(8_^u&XFcEQL^4WEZ-GYmPD{Cf)`g{|Bnw}sCpPXB0igfTSg!~bXk zoU$%8vV7os1H9ulF|32~lrc8hn`U-bBMMEa#ov_a*;?l%YBCCXCZS1Z9W6p#jcS!IYDKIeT9{~=e|b~TS&yyK7Jg5KZRAb!(YOk> z)0TIf4EW)M?R(kVUnE`8Bpj9}kCyxIidJ82eOCGA&YGeptkB8L`T9qq&3j`yPC@Vb zm?Hy34GUHlK^$?dg?QSE+yveIzl{8oc9EL;>-Q{jqVUmw<^f2i1s(v*;^s$Fx1V+j z$gccJU3*;rN+hs^9av8Afv)k*+h<4Kukx*1XXIA`MsTX?iCGfIoBMt8*IJ604m*aYqV@K58; zq)Tf~Zcl$wZV`25speU9YUy;#Ocs!k~}`^++AC)esiMT?vz$tpAh7(G$7EEfY%| z0q-D*#%zFc0=cG*M@Bil{O$F?sVE5oFec|Fot@fgZ|@%m*j|Omau&qjU|}qEyJlKD zzCSsHZM*Mebg!<#*ZdfhR9U~>XQLCCzIsIWDD-fjO)s2&x7U?tVzkd$_ zP7MJ1WLrw5W7wSKv4cbECgM$UUGb{W6PD>COzGCx_kE8ymg5ef*90X+A%;W#SP0)d z8y#QnvHj6J^3usA-9JC2;lt%SFWr4IvvY5Vmwe}m3{G3eJH2sOzn$2hA%L5%>?@i$ z{LH!l>d=!tl4$C9vc|WolC$bzi;n@Lrf-F28X4GCXV}IUk%*Squ&GAF<&w%u4}h~O z*~P@btc#HtCWHHo$Ix86yva9&B6!(d^SZI00;?wx|Qn>NS87xFW9ydvl)ke>VBMx zkt3Av|9la6h7X0DP#00QVGWBMy(RR!j;1>%(75=DCUx?q`W+}vr4yjUg%M+oi|V1M zS1Qc5SH9E|;S(1tgsMy!oM-+Kc@%HOGZQRS)LP3xUC6dZC|*i83F`w7 zPU<)u&TVv_hZ^^rq-$J*f7;F(8QlC!If*_VX-6Mr`%3;6 z6y>?yiyZD)ar#BJ+j7l=h@r5jRpHl8^!zqI{P0FE_))hUx&uzBJjE!rSt8+LX9l}> z=L?k#<&R+r<(glw-7DcT;9F#B@EyE?e2`<8lqjYBwRF-J{|NEd?YBmX8eg3?d}x@@ zB0=vj+|I$dTzHYlu#mC-Xr-WttNdz&`3rZG!YNpvE}-Ms-A+S0^7{o+=*{sSK8Ovh zFKZ$gF?w+55v1vFYNGFmHNYD|WN}+@FPl{k9j#I`8i;bu%GW-fV@ENTQo`j>;{q<) zw70q9FTRg+2ou9gl+NzwyTj^u-;h7{mu^8$ksI?6*;i|I-FV~O$O*qcVQOsJfvz4NSJ#X5q2Qul z?bOaliTNsfR4lL3HcXzVI~1xCvp&|Paj*D7TsU<-c(G_cmEXALl0It*Z6S~amb6?l zKR3y!GIZjZ-EKr0^p_yKpf%N1$22^56-@KNX#p0(p4ad8rTXdLA0eP#URdeV@hYyO)t~51rO7Rz6)R}Wg-VIy>L4g5{$W6!F2@vL* z70Fiwlu4oAnvgHlh;aoBP+`X?7J@MM2C0Rv*dnRM*7$15@(GK*-01GrK`{=nVo`9c ziR~$eVDjB)Y(NbGdtY+!u(^V-Dw7j)_!odkA;(JPSU`w= zF3NRPVK??{SSk%?brWB32yza-OPg*;85Sy|WF_F(Yr>hs7^@2JE#-YtGQX;fN&xT) zxr0W5^X7nEHH9b<7N=*?_}KmDjLv9B%H9REYJs{ZRj|&UV6G-z+aEN*5BmFi@bXjl zO>8*W7gWagFiDlT4@gg_SJrWtS&&o|n+5q03)?b>oR{lliHW}skfDos9!Pg%>)K{7 z-L0*<8)yW3`nnS%=z%#&#Yjwm>$)sKx*x(;hsFuZ&vBbU{HeVmmvbJqadOoDpwS>J&0x)`qG<*yU3Zh!c$b z3%z*(>EX{c4lg_Q~|Qg6~=bPbF@Mfg5ZvFU&OP;-Kewncoz+>^Za*50g6w z*9sOco=4;|mhKGM!_gH(_~2 zsu#LDDlwFZV1^9vgK>|74V#1cqr!*b=X}qT-uZyubx7Zo3nJv?I&p}Jz)B`SH_o9v zGdBkEz^osZz5B^tspyTVYd5FrUgpCbkY!F8o%PRie`0X^+%Wcm!gc zt`aw>fv|j0Ro-?(5eF#%7|R7~glP3VevA$MwPdgl4gMb(>Rg6%7USe2F6ZRSSZ5z3 zXp>(0HoTOGN#^O6j#!TiA^ki(=aGnFHp*B5X8_O>?DJ&`{k~_I@-3(vgYZEjIJ^dX zWHb8e9PR*b|F{x6H0KkgKL3)9EY`WWR)HfoX1^a;4)Vuax`!iAE_m& zV&*VK@^WPa~P)%6r>aGy8ncUv61Iy zuIkJ-r2p)tJ})ETm?huhqm5V=mpA|-m1I&WHUViZo5)sOT}3Bc zmr$YVEAHc-=a|`HB`3DpgXk}LPfQ_R@9}{=*o{&ft^T=+pg@8^a+K z5eSMqJCuqIr{!{mN?IB~5UNX4M4}RYasFX&^kP zpQ8wu%s?dp7z>5Ds|HEov&}fD`vB&-2KhpSoqpd4yhjLs;S&Oo6`b^nIpjF|=sgbp z>Ii&J)ESBfKj-0@O59bI{Wt@aYmG_=kY9ul5eF5f0Xb_x91XtoBAiV@jdEajM4&Dn z=0-m5;Nh+?`=Zmj$gA>eLqw!55u?i>oaKQUBv+3=h93~&rsOOB;GjEIjY;nf_E%1i$>i z1mY;0h{=zhzM8VHmU=I&ZXd}qQ9%58m3Rmom3rMB^CK9lv3%S?qPvjs6GU)@V)>W( zCFTBql;ACztt4NoSV7d$S|T(6sh@>*MP++sSbu;B&dwosG9gw@D0e-oO;+25x9Ns` z@)QT*6^JGCiQaeju&vi^o@)i|xv(|=(8edjD81NhFy?Fx*@jCmV-u!PUgBSap4h_pyZ(bgWg0idIZQGi8^)lWV8>1$E@%C(`$~I| z2UqVKU%XY}HhnYd^PZYift(*>`O}6JJ&80NN8hc#LeH7tVJTl*+LYpcBQsYM;aGF}C5D+*>cM`rrv%82~>10f8lTZPtt(P+WV% z!MCzk94)~e8@eLfu6`c=xZCZ1;Bty>_e%iP%IH4YfYl`;r+Cfh zG*1Iam?<{o90xJZhFoM3GLm#n9>Zr=KN*zgW^Fn9^?=(r50fU+?lPE%hmk`!T6zmH zSt3jtfPG|xzB7k;@IUzQc6d7jFXiEw3&l0znLMicc)xpzlw>`5(p(%Xv9rBygs zdd^#}0I}Xnt=H&jRv2~<3O&y*{zwJkgVKsccpvflco`Dw|#tAIqqnvahnKhvSZst6#hA|_xvz?NZ1+i zufaFXPNl{m*9-Y|jm7kc&-6TgD@zLmCY+PQxN}(X9IjymbM2x}W+FI8rh6D?Gp#s$ zE%f%0BH-vqb3dbDgE=N$ct1)FZ&hBa*nuuRL)pMsUIFvWj^rSC;X`r&H4ogK*MI{5 zhb{&P)7R}z$X`?|VW)Xon)anrz;KodeCt-rO(SI29OmKNJr#i6uYu<%VOJGcXAPc7 z1dl43hhpwe3vIe2Hl1MvESxGgf%J0-Hrv`w3`RRgZGSGBLz{wM)mu*JKK$OIx+E{T zvHu*ghO{t5{9zUS>3+$K8M&DEz{H5q8UwQtzF~b-n2)?N7ZMq29pBx$mpS`&h_#Lb zYqyI>Se?)>KqwlXcGN!9uF=!AGnD;FWCVM#Yhv_Kx2?y)p0rw;l7ZAf=sNXrf}gZ# zy%PO{z4uifb@rG7{#(zJxZV*^>D;p2aW-;v1k^W&zb?cGeNclO=!Lwd>tFhU1A5gu z9$ycz1~k3THJD65bf1q>_IwVFLU4)DH$-T|FO=5KwMb}?$KK&)ic)@<-Y&rAG2naP zgVP_8Wgie-2e7>yyC!WY8GUjdW|C2Jj)7MgS_g$97Kk=Y0n!7a=jQet5*5`j^?Fm4wj*1+KEtC8Q_4wbwfYt z9p$|8Mtlt9{gRjFd--pSB86Q6tOofX(Z=iWnRjTUD0_Kyti!_<86+j+;nrl;&e7K& z{{8gBHH0acYI+=VFnD?6I9o8vcx?QDzgkf9#LIoNDC!b#zv)aVF<}Hhz1Cq4iR9Qc z&glsRw3SZjti9=1dP38=@~<`=VVc#2x1(!3+E=1KaX<9j6*@)(8N8cNz2+K68rnF7+o_HtL83J%DI+W0HYu+IWK5H)+smC)*dS(7J;kC~E?~ zh3u|#w%UF(>F%!qFvtItN7C7;CnXy$KfAV#>jV2~5geqH_)&MpJ@pmeUz+RRucVV?k3$_g$IG6aXKWO;McoQ`A~@NHb~<>ZH4-%Z^u){L0}QL4 zgrIHZNhR|8-oDGhPqjmFrF{Wn%($&{mt$d89fEe*wO!N-ECxQf;+!VThj-E+x2(Qb zb{#|NK0}F(`?u_$*p}+nz|lCrLQ8L%rQ7iP-ojlUK(}nn%kC*mO(WAY`U6HFZwk&X z&3~VHbQ*k?^K;8&-!4<&PI;Zx0RQI5nlaE-I5>YST72Q()744?bvf^a$*%h1J-+uTfKP>yY6wIsubV3FM$G%$7<6 zEvo44_Yy+H%kfyS;E@F=A!>A{taOIdK=VUe7g9}o+4YP~CeNn{xwhiZd;J9HN^uiStPFd;G@fp1NJPO!6rY*Va6FMWEOI10iz$l|N583wn3z_}L`N2^l`gx89U~ z$aa2T_tv1Ao>#%gPCcYuj=t{Yb9J}8$!_EL?o}TvTlYp*v95IWmXc+K#Jj;~rcwt@ za)a7t)MDtXkE}~Ar2!dxIPRyn^!sTj4)>wo((Ki7;QPx;z^HIjB@KlMXl$N7o+7NO z$3^LD8a4u@q`L;#xYP|;Pc#^ygsxz2uJX^wMbqO{B z|5P;ZlAGk}#pk^{Ltc0AzHdcBl^RuDm~oPEgi~~CJvJGABjD_rSA()ck^Iocmo{(oJ>@64X(qP**eGToVCarZdOmIZgyRr#Xl^A>K8od zaUY{II~`Ite!!PE_qw3xk)F!&Qs}_$0~2Dr8vbjya5{B`u1JKVmb2z_qcvs* zJ#%MCuQh?&<|emHYI4lVT9Ni6CVxIpgg6-sj>S-7Nw-)?moP8zcJ?IU!K^v(T2K^k z)($RY!R>89qNHI3TP)J`h-MT-C7Ix|<$W;P1U}8sTfdFd|Ccoh=Re?Oh+r^v3%Dpx zg$fCw8N2_(##G0}ZB1t9*tdua%tj=JK%&f2YYen~*c4f#Sx;$ugpKg)(Xl&x(xV=9 zET*1mc-8Nm>C8Mn?q(0^O`?yhLXFu5)QMlZNSQ^9!r*a{Rljn*<0uDHebk)ZoM#Mp zv=^Bjp%@yELrfP`5dBI~Rtd*~l~w}Z?kLrN-UTJ;o?q5VjS%iOfikOlem*k!!?6^@ zmv8=idNs^~6;N`bdZfU&!x7x9yF2c9>|mv_$t^E*BV#fLUUKGU6gc2y*WT!S=+?k8 z>4rU!BHdSwhMh`tSKdv@a}%?GyPz*<0((@0-qn7NjxtV38nsdMcG-lUFZGt>%=VYL z+O>uS-9KhN`ste^w*_i$r-s|Pgc8&8CWu$qUaN#*59}OywAU&%+vyu({cky0%95Fg zLNPn%7IG^@Usq|hv#EJCL>DUrEkiBFRW{OkDr+3ul*b~HAXeO^^>%S=T#BR6@J||; zlwpsI}m1=A#OazPq>0n4q%QF<}A9z+z5=Vnm7Jf?zim6qFLPh)DA|_TyV5;)c&|tH#cP4#f`Hmj`Wh!_ebsd5i}l@~ zEiJ!y+5A1A?P>POX4Q@CHIU_?;rrFrT0_N5vtW+)mkp@o(dlzw+BzSYmGxWPc1mx} z5QO7Wq(o7{3|e0z-+^Xd#MET#|GflR9T$qXS8xqnO4hTBtT2ICDJ34*fNv&Y!yJ{+ ztIgh8iU=m+76Uoom1B)Ag(9YUU*m@RZT-Z!H@XlU42Ag4j(Q_e#UMo$K6V+p1mA2B z{XSc5bx@6|?x;0*t;t^C)L|akS$GI|1kKaHT!0sOMu|G)6ip5ikVAa2iV2COuPM6rn1BMIjR|dt6RG*g zj!y2`f7GsWiEyM^D?8y}U`$LZZbJ#mmt|(}U5t{^ zeq+=yD5k0Y9Lza&&3LEG4EiUEUI*ViIo9>I{`&UP{Qb(LRkkj5i!|aIH8}Gy!rBHD zH3tKlVNoiWd=lm(&q-c_)Md4=E2A<%TQbE_OWE5KRfj|(Pu>c9S}wd4Y^sD+bKv%>Y{?wlQCopruFS^w z<{xs=9+sf=m-)d&=>afo0~^lQzyjs4WKE8Mw*silT{|m#&4urlOVa#gaQzB0I;X+f z?SuWAD25DQmmQ^om~!BemC&eh*!w{cxl8vo$)!3kn@@!7838-7!8=*VR6mI>!`MUn z#sH8!05Ka7!?SX&rMYRUma>wIPfcpeGNDeqPX9_r)Xz)KZBX-Vk{!K$mfd|PA|;l! z#17E$dMne_SuK8kgtN~*-})2Qwq@&O>h1msC1(}~(yB95aJopIlpzYSS!eD5C#UA1 z7-lwe(5El(w4Z(Bqb2jEw%zFdH$(O6R;RyjT)N|MCwaSJ|8mWpFNtJ4SN15h;hlrd zu)VV#_r&U~tBu@-kNWvZeh_B>FxBJ`OJPwwPytc8zAX3nCQQZ>WGAfxG%k`Tpuhb= zVU^z6cI$Rzu5cFcWrKYZ8U9NyfL!F4mo2wN#u5txW^44VQsWqCFw|5*+ zzl4S}-e3_F zv4Ibm&i(~3UXs92zXOCY_tGtSAdM8;V|^R*Ge3DLdrxZa zS9w*2=ycx*X@{c>Au1u$I=#R}pJSz!_OL^F0BcA_OLR&+EjK7}dNp~8IZ^-e!^+)K z@|Ej#Uoxuy_r24GAp$)o?|*woe57Hf)WKHNayMX2g#6maDn!Z%)LWCYO;w(?Zj&xi-T4{MFvE18WC=U6M=C`Uo^{{hT%rgnC=Ix= zB#X!>4^vn=6Cn}HY_T_6lE%vOWP>mNmU_x_4k-}PL`W>VIc6?fB8U64B}htnnlk&M zzh06Y95#}(@@jT~R%^os2gq}@!FKI6%ItEDoGspk)k5PWd_Yz_4i6JTs)_PL3Rzq; z%#`8HQ^C^ay5QY8>qNP5a_;KNLAz#Pg(w@Zl6o`2X>9NzK(cOJ0s6QX# z?+5RDY#p{_8Og7n^jlw9Lf5m;NmfAK`oXg@a{NC!W+;lu96VjsGV3SP6+PAT_L(oO z{MK`6%W2!jQz453rxyHX7_Cl(Tr%vFjDwLxF}@D$zq|xlp@f+NpnoF0 z@C@Tv7f9I?XcQZyqj}=eQVQAAx5aF&pFz>hJ+O6M*|)95CfECJl!{+_yned|MyEaS zhg9>Y9=@*zzyD{;LdJu$p}r3K(j=Dn(ED@AUFrx8(m!JDoFX^#-@-1}yO}U7D=hk; zuy`aEV_s0go2&{sLAJ7L3G7+P_<8ETmQ%6=>sY9fUx7peb;+MeIhlDUru9!u@8LNx zPi#uOwit1BO)cDFfFH?+?^%*M5~ayVMnWZmzaVpFG52sJJ6+10hqcQsTQV!Xth1uy zf5yo~sU<|T2`OI3$l*eB1$@E51yFFtC|m+7k|IKh1u4sN?d~O$u;6QH6-=Hs#xVN~ znIsRoVF|KLmCr*W-khpxzZ4n?WXH|vCW+R&DLm}iHEBw?>5?(PkuHK+R^t$RWX&ca zVokg>i7jzqwfX14qgX2@iU1jXjZA`sHL8quv%%Xk8M{TIJe?*A%SXV6 zQYyOBBC^+Y)i~7WtW#M68u4u?!i$Bs$@CrGQ}R6MZX9FF$y({#BJoyHebhzA;egk> zgNtJh)@F2NJHO~ST{H4N*!O)BZ13Y!!D)oXL3rRC>R8^3hnjSM(?<>1P;WWk+VsqYZwBp1|(^f+&8;r@!Ah-hFTN5 zmVedku}`v`hwx8?l>bqQV}p~rka3!vWpX)0A8&X*-lR5pvPWjCq;|4loCxrT zy`7g!uA1jPrMk|H2jMqh`s4qJeqU|-?g*hLl>9CJi&Z6bQ!_gKvb3B3tocAroDw?V z0JGtpe)|&RCTy~m!()lS#)y<8BC!AaO>+(~$d!K?IKA)Q86ET|bE5k4g1kI(n-?XZLw+DD-PUKIGDlz<#Y!)pMw-@J3#i_$%R4jl5?bc5ZcJ zV`+h(wuHAF3qmbc%T2ysVj_U=PHE@xc;~+S&zuz_QK%}(wDWyYO{U#Tm3p`(9!nOD zdkDIV5%pZlep;S>#3DC$;2c4`Q-4v3hn0(GvYFRbnD+n5$gN4M?iQppbNB@wIsygX zloVZSIl10`67*F%XNsQM2Xsx@&I?!KzqZBaVmD%0_+JWA=snAWoucq9T^<0|fK%n| zDBC-cP^P?XBm@S`vPbiXmDKnb!XW?EGHGVVD&^wJvyQQ7KIIv3UW!kOV1h3M@TuBr zP0oN!mEBs=JOznk{FaD8M`@==Y>`4!sJ5fhJ#EwrUU7h&fgB($6~~Zg9+B=#9tK)O zHBubPZ|W7n`0D81lF+ymNT4<(njcef+zI^$GqYv(3@cBbp`TfTSmS|J#Us1}I%caH-&X(Sazn>#~18uD$HnGhsy%n5z z7tJ}&)fR=HqY#g6hAAFKMxB#l^1UmjC*TW}Qe;Hq!SN=dru)=W<>>|&J5tVTe(~jz zw1=FM)a>o={Pv8s^i$^7zoJgN-~Rr0Lq#g`AeZI#7~$^Nk~z6g|N0E#qh#_*M7LdJ z)(u*UP9WfF<&E*K+gpgHDh~j^9{}<+H!K7Vh@R?5XWIx-nmt;T?e&zLxp+U3@Ud|^ z+`HWys5pT939Zvl9se{`cYQ~0Kz2^Pf?bwb*=CEuJ<;P4SQ$+&X1;?rPG!MNm%{AS zF+#76tlBsxAZyLT8#+>>x&w|8IevP8sd4+_5C?g~Q>TN0l;>_`U3Rx|QI1&phIs)X zZ{asMhI=RMjBe2bs_UZJ69De_dM6embE0!}Hhv_p66(hd!rb5-mHheo=0C~!HNK=2 zHMjm;Z^6{BH|$h#>h5w$Ak=Y~8!)z*vnrOdr=^)bVp;=}8Y`J#s0al@LuYFTCyw9* zcO~yJd5#B|?sL?i+&}XzP{HqbLTOjrcg`P{(n5PffbQbu>^Z3xW#4p7-q)~;^YKu* z8gqrg^a-U08D@@l52&iQu%R#>A7jfiCbOl?VEXVpyEgfjmr;n}{V=5b`3AySSgv$C z?oF;X3-Zq)_MQ{ZgsPLiB0l>F zxRdTLc*Sq;0dfuJt3n1;zx8e~4WryMU`k}6HHOZdq*b=g&L~pEaBh+}SGN%TAx9;V zS?^RcY8(kQypG$*(N#>%$Tt^=MKW}Ex;-on3jk{j5sPkQh6|9v9TdW&t@w2d$k+2x z@2VnUax847kl`4~-O}8Tn~^KqeSjd!-E7?Bm+P8yXf&I{D%z*bwYCXi6I*9YgG^C1wue=Z@-ujC&v%xtLB4T0l#c5juLj({oM`yA&Hbsb-8)oW#F67_dCl ze1hd2RVoh4gn3^LD|W{6$%JlW_1o>rV$_F1<8`GbwjTrW;c7QvK&6h5H`wjCC57B$!~EaXul6F^vX%XR;SCioJv^Ow{JrMJ zxt@xpami(Ef^!+|FvXZjGb#=*MC9{0s(%lvol-SXi27YbJ;ZHtL%f9r^w_<;!g?jH zR{Tnr-Rqq{juLkrK*e@NZLz~a7p)zZ@b0#%EkO^6RTBXUh3Yw?xkB~hD4fdSiR$Os zD%f2+1?auqZoTK{$ud@ph}Ky{M#A-S1#9Ti(5{V2U*9&}vtP~1{GKb)n zeuOU5cA*`9gTE8PKq7s!1}RU@EFx>Z%Fz=P1^9?h|GFG$hObPo80(y3PhEbjr^n)^RP`p_8HONFf(W&ZLbM2#_R#Y1KVp-?x1 z&BdJg&!KYVej#^giL;5z%D&P8gkTzN-P6&Pw?n7weC+A+O;cN}noe+OwiT(6F$7cU zU$=28XQ@628<%&>w7aR#vQqOg$#S(STQ)9MQ6)eT+PqSC{Jl)xOWrmnjF+c3J~!%; z!X?ja=wD9^X9KEGJddS&wJ|1FtD~2AS_93M5{&d+dTY9=nZfZ)ZFOl&A8RAy5thYDb=v{k||a}J2rjZ`>ULjF;c0VFroV-Q)(Ga0Cv|med!A| zXy=i~KNJ;ANXtY%<0@RRcM^K}O-ADD+{dL_t%ElTFQ>WMXR2!PvS=tx;&K&*d zUNUw+y> zlpU}SFK+;%BuI0;bQZst;o1owF(S9+UHX?G{7>VM!-tp^yXZ!N9g`37l=2N(bp~TP z6?|^lNj~^e=WlJbzrla-Hti^?{WK%^W15@XgDG&I-_K6k zQW;6yCoWvt@d|qC*7BrvDV|jzn_?b6-4OpON$^#Kyx`A>3pQ?*Z<9XwNb1tabXy_s zA%zz+nWt|Dt*B+9qD~1f&ty=*hZ;XYxvJH3c66ILE<(kBuI$d-^;%h|3xVI4$t`Vo z{elI5U*Ko5bOMeFyEc+%dDsd3ItZ2oZO$ zw|hb_)2s6~rv{#6C{6|xC9=X*g==~2!>^PTJN4HP?N`%Ts&~BE_Wt3iF5GHM?yUFi zw&|EB;(96mm23w?-+|`dtZK=COW{0_kE@0==~sFOlvIoIjRzD0`mx*2=T2l`dqqB_ z7DEfNUM~fiP+qny@I`6B%u_5iNBadqJmgZ#ID zb0vdfM@1POK!ceq zWR;#mJLfxs5oaAbUG#a>|8_`pq(sTKpr5yMY3$v4V_s%BUfHX> zy5er+Fsl#fYtbK~*al|QKEco1_6`1~mbXHAr`3s0pY2B(Dr&ZA z=#i2lnZvZvGiOdv6mj<7XL;o`GG+U2{ONlkaRfUY<>`$*1KA1r6=$Uhu=;~i6in;a z)5zTA#~W|0FNb&&wMX36j-BuYlJWe3mF3pdP{8~00vf-^6Tiv| z*p#oW$&ZDiYOhg%t@#W=V?NzHOu^6>cru!OKwdBe<%$jQnt}MCpA<{&-%a{W{_n|| z7|B7@-tvq52;oN+6I}Fpr;LT*H`SVpx#h!lxAGmIeCWqR3-yDG>;P90l?8V8D3`Um zxH++NWrm4kMQ~_FC9C{^b8BJF^)J={7G4?2JJ6eRf!WsI`@-T4LD{RF&dH zIDA9$QO`qW-SODgn2=6y&{fV<`kj8ib}E^gb&)9~2g<;Kc)a{We0~Hb{8|0>v0gVL z2o81_E~zjZvhjW8q8^#qq-|x0e|!80*vb*}bo*Ljte9tWX{G+T#xKi=JT1VAifKuKJiss*#k2PqcaT6bhErrYjZmh@W=#L zs0f2jVr0QO-R>*hyyC>u+--S0?dZfP6>D`Ob4PBSgOfgOluY4^gX^x6(LS_S0wo?M z)_9XAc`KxJvkcLc&dJ<2(WBk@Hl~R4oDWm%cP;tVSupjBX&ktBmRiV|%9js^4()H& z;A6FK7*5_8j+d|=79gHzPf2odZSv;!vm`G0-*&T-Y_h*_f?{INFV}q(!?lz1<(WAm zG=6?tA7KT{rP9u<3% zE&F`a(=`;e^WPX7R84ftRzJ?0XYjp1oh=AnQQ{6uKBp&?FZp^6vDc5m{)iQ+&YsG5 z%5I#jUd$4`Cu=@Rx#OSi!!ru@CS3SC((|)M*QxJXU(o`8uEQh%y9Yc}*#laY73-VY zCF0yF*O=!3W%HU%4APs06Yf#nAK;KUfhVZpbg0X!$~tzgjR{6D?oR~4!Y?E!h-pt{Td^93>o>zwcs~+w>P90 zZSM+EX+qnztCh-D7bE|no8J%ovXDLRtP9Hc`siK!+&yN}ItY)H!`hDAa&o&@j*<(0 z6~It&C5%7q*H~O{8Rb#YRt708{agSRFYu&J^|$l_ItO7PHB#cwX*<9arawqBQ>cbGSi3y1%tdfrQj`_KH4F&zZ-90B8Cz5-Z zECQ=h0=1 z_;cXtKq@IH>1gTT)NqEL4uOCuq9t)?U_LA)(bL^iUzdnNpjH-FoNP$ursgmK+4<@D zy{~(ltD9H_eQHJtr>>)f#p!4tI{0~zms8c;)LT{A-1~S^UrRqMFwE1%Q(w&-E3HAa z^z?KOLm{x{rcNLTXlQsSEFw(bP(LjxZGLfc@8_PAgA>U+R#sdCCJakFmq@)zot$3z z{PjRXOM?_h!pdXA0%OyXsEOy&s8{o_%2+Brk8`Ve^Zn<vy0gc6rE zw;<|knPcTOG_=e~fw8jk8i`5N*mG%VSMv`39)KXIq2c+kh(vuuqLTv&CM=6p)~C`- zIJY`B-|v-_aXPw&@(QY&TY9T%ntPv45^X#^y~9xASaS;}5D-Sq$Qv4%3=4_n)HQFe zf7aJEPfSQFVO4ds_s-9)?Cl;n*?7VPj;1Lw?GiOFr(|+`zPYKRs*=7zS8dpP)c9nOWB!`j|0mr1f zhzG$_O^_>DlT3yWWwSa@!=1dC$Hq z&FMz7?TIU0FS;U^)FYn-^|QLvS2}}N#r^JTxRhzck2J4I|FkJ?@gpaFT>N5Lp!7BY z_-M&lR=8oM2RD^d?|8l4XU0G^rUm-v?(+D-DA8lCT8Pl|L1)n^Od>u4R&P$r8~5nnpMWq!;&K%v2KT)(H_n|7hlc&dx-Yzewx% zKEEhc(WpE{VglHqP>pA-yx1u``i^6Dv|3PR=lCbbhSfv;TaJ2d^K;E~%pyzseIIXy z;$4$+kN31dPp z#}S8`qCwYs)7n8~U`~ht(y31YY%pg>$dxS_ipNN_OYz!ebw^^d8I|SRbm;hK8&%)c z_&ZcMP3oVq4_Fm+LdM&xK!@9J zb8l+Td;8^+OHaM0g6$iN6AGdnYwqf2okGF30JKDHJmlA9a!rz-CPQ*4O0 z#LZ*s-s`q0GfJB-Y9B!6u1{WcGLJu;`t2xxnXo7m_P;?aXNK^j-C6McgN%(vb-DeI zQ$uQtH*?1@CvhP*NK}|Wv}-2x8JmvMC@S#l#R!t{VA0-M@cGD58NJ*=M#&D{;ebz? zL!rwW$LEQrtZNoEmUU(T3cX~l6wdo*pbpDxbLl7!#=VDbwU~uXh@7%=LEyy;+H%xd zEUg;Rd?w141zr@6lHZQIw|9v8lRm0WcMtSSyDlR12MDJESTU34F%J1Wc8bX)-DK98 zS_G%NT#SCRxqGB#m4Fhf&GK9~F(p%S^dcsOV_sRrvh8SaXUlj6dftBA^W(W!M(Tpf z7t6c;3)aa-v!y11yuE8eg7WR;jT_=huy~k=ZntcW@et-jp!NOaHWNC(6I*b5sGpMD zHx>UCZSkIRJK#r*OIjjEAzgDw?mv%HVontK*ZVv|yTvyz40y=>0DZjj#VqS^rQd}P z*cRK_C>!h^IU(UYfS-({T`T7~L<26KmH5aURN-I*1RV$hP87Oo*j9#EFHr0xX|<>i zQWy0Xk33mUqgbqE7;!TMw;4peSgK%XilY5ypS5-KkwtT=4zcRXu#^mLP!t=J9A+}I zbXhd7)>yG?GsDV%U9D~Rv`>#LQ8oC<;-_Ym+)n&v$s|~+RJ2+-8)u8@P%(ljILkX} zH$Xa`vwU8F77^Q80nfiElPbXOy{lGYA@c9CPjqY?nXkRDihiZ`PVV=w$c-Pxd&D2* z(UguLS^UnAKVGr$r83ym`KPGPLP&#VXS!y}ks)tX& zM&;suOUg~wYNz;`kj-H)j}dGlKVi!xce{~o`j6BS4Ji{;`N)3enB^TkTi;N1&teZi1x_c-s>WTIb z6n5Gl8RkYGBI+(ZaOG;4-kf=-ks_0$61t#<|4&J|EFd6MWZ`;4iEh40)QcN+zobe2 zR-kQ$n&xpI$5-uTo#p8-)Pk*EzwjKeSa*Nv_*O3)rFv!{~eDq?LmNpGO;{dZwN8OdAte9z4+t)+g*br5O{ux|{!pU(i zHOsg^?mW5fsC%G4p=1__JOB)?8sCU8Z-bH!*kW~djrw-Ay2-~BRffRoXE78zXY9%~Ediwu;SnpX{s5R^LaVfs+W>xrfa(`}>TNc=1b)nV3uQ=p8 zqUXBtVgY&y$sc0rHvx=}r!>h`@CS_#cGyoaOjZ>s$*}f*ck%0v_Z;ki386pc@=pZo zo6EY*dG;P9qE@EJDW|hP{^ibZnEXhE|2!Rzm$))j>Y_hpAM*njc4al++^j7sW6bvI zOZ&~tHe&sCi!R9f&bA1NvecJWAwYi*Z8MSB;0UWxgCC6HfMN>eiuy zX2^5NZ`~e*Q3N=wE!%5cK})ZasxsqpUHkV`(`9WwG0U&^h6xFH()8YrdaT#hlI)2ya z{AjYDwy1hur>QXk;N0b>zY`wUt{yKz3FnJ?TAze@h&$#`QD}(+)uhM{ z&T90`ocAasptS@wzv+q4&^y9|0Z;CGPSeu&+VD(!)MjSu61I zHZQIWybTAD<5iKjgm2D(rnw+DF3hbDJp&Nb;tDI53VhLq>05ieJTe|ouy(qJX3sr5 zH$9GZLd(0MMQ{)a=op0r-3T(l2a6powImO(W4~0Vf>fs1hG+YQ+bIGsgG4<`&KuMk zhn6{{-m=R|xOmOV*3Sl(NVJVCMMbpxop>mQw-rmlh!j)6I}GF9EtPm>eTG-wod>?T z1hG~8^iyKjI5K$)?*#Em$+aI(ail zA(G6uGAJ`dfT~j<>+$lNZgPt>?Hq|?|0&QrcLe4+z~PGluMat-zuq1;b*W23@PF%5 zEgo4gU*<$b>TRQry?2i#GlhGCPC;}Te@kTF>_GV~bzjh3=Yr5hl6)*~+(;i(aZ~8) zHY9#K@C!?zifl-LON8u*R|P@mxq{QKf(=~ItgGO3kiaC{Qkg4s5-wtgHSiB|S3n0T zFhknf+=*Zj5?A4$eT8T}g!#|V(%+snLBi2iHguNphCoXPki8+AUnLwZ`Vs1)UL|Ek zwI=3^Y~r}K;Hi|@wUASv2Auw~v^DKXEWoLo5`6Jwi%K~DInm{+k+zW{)C(Q7iZ4%S z4Cr|u!23twpLfUqc9C}6ogj~a+of7A*$U%bIv<(Gc!6N7A_f{FFsFTaJt_EKtFk*m zK;BxI`nHTZobSGC_6S-qfk&~h4}2dlI1do0lLWue7IFiCC6u9GT`jA&0Z;-KaGmH? zf4PxsB^fMg@LoM$2Y3UiXy%O|i$aHW!<#^10PPk(=iE3o$#(Ns<7@v zmBzC=S+@5*RIXvYJqeA;JJk>BmPtz!nkat1}j* zY?(49y(hCvBrv@S_6l*Bs0Ekqh^^eC99S@gEQ`HuUwZ zz(2}DHvxQCgMc5l16c5T@vRDES3H!X_rJur{Wd{$>C4V&u#c($$CWWyD}3G+;uxlP zGU%SEp5WkZFk*)c&yY2xO6-m-DQ0tEpGOX^B`?V=kuVH?HbSkmQv)Niza9=0T?Md*NSo$1h1} zJ)IROW6P)mo##L<1Mm6bgDiI4vS6=eztsw^U}zFQP7hp^&rxw6(LXlX(fp8JKhP!U zh!@bu3v$?6_sI=k$-+CxI_0Rq`d`PSdC|QT^i6>DK3Mu6Z-OfTEaQPWk5@9)Wt$!u zA|30AXel~Maq$pNMDq$x_krg71Rtu1zO}I&28evohQ9_I*dlTtq?8-YU`CjpAB{|{ zq#qd0Bjfwktsa=vFs;6gC}FSXYqarog~dC#I$jYFIlCsFGvnZxs}@`85VY5+*M@3? zriWhiK21h7aUt)~DDhF;ph;r!J6|}?Hu|(mcqKwzL*)yu$>pvDGhBuDw`q2P0XkbRmOpxvehcm5xpt(Ll87pWhKJC+YUOot40(W$h3mj((Y{EhH zgW}zIVgDH*2QTzaM%R%UXYs>I<;FRzHgMb;{?#+YSP4jq79xV(36$)zFyG1)tGL=* z)$5*N{az(e57J)r2Vh_~f}|2LFl1I5`I9(A7J6A5wPS4NTFX3{ERhC`@OzyQzQDJ% zZL_r^d>P((BDX&ToZdva5$o6|!j71$IGa-c&_&c_)gDE};Bqz~aTjMy@{k@yLyr(O z?REC{pPP=P_3a9OdQapsUiixcxko!PJ+96ElgDT&k3Lyy3Gtp04h?)4GCVP><#Wg{ zmu_^tk4Ec?m-&I^p8*J^Xvf`TLQ2u_L3V1gEi{2V!s&yh!_&SzCVkbxKkA1SlL+Ei z0rQQ(QzqlRcvoOMsMpmMD)wYwny-?3`8>0AN9_zJDDE9y5UwmiV1ik2z8-G2i?*~Y z8@5S?J-c8%ae>!h@2OBQ+&iS*KaA|j5yGMcKfWyUfwzVBKdXEcI&BUto>TqyK|0zh zp({hflPyHRJBIQh+GjksRAF&9kZ)86WtZ~B1H`gJQ9h7CN-?fGQ?lGXgU7_X@5w)u zP{_4Rqhv3iIX~nB1gaCt^dLkOi49$*Hg#-NG={2$u7|ZW`K?8n-8+=7s=YFMW)68v zu`2pDqJS$T-IV+kBl~m~f83SfvvT4SP-mpgNnQ8Y&42m6?Ffw1oWD|@yb>VQ*gAjb z;hV$@KBJuR*W`;w)9p4dFV~)u(vvN9eFE@24!tW}vK`Ao^X)Hy>HtED7MS) zQwQ?Vd=OndJUSQxtTn5+)X7ovTMfL5MjfFoJQDSp@rr%^ar#vE9;7F`qBrsG*I(io zBV_0f@=B=+T`%)O#9-3pX}hp0H2Zd3dolu@Y62Pv{=;7#fiBYI}_A+*KYS3-N!~e!$gMs)qPi z=}=SRhTPt=hfk~qvp10RlQTj0aR&eWCky?~>uVgi*LJi&Epz~^64BXDZqWN%pgl9k z5?wDJ#Kp`K&UN#E_mv1peL^uzh?F1r$MXzZTX)`-@XK28=5|R5-dVUt>q+|hnEDg) zwm=nrnMAP^{MmaYKy>(^{Vu>w$#wZ;e1kGN^{7XAX5C6vCA3geFo!G^YO1f(?$FBd zoYSMm5-aZQT=icY(wQ(+T@$Ye9vq?wO=yRu459=Mou_lapXAeSQ1px`yuc$hI?52W zy9B%T<3a+9^1t4Ha)gcJ!)!&;R#@wIq8IF<&7gVm13JC`DE5Mp6d_x}%9}@tr)|4A zAjsX1-Rw!?Pdu3gWKcB+(!?#7X(}cjx%*tFUU1-3EyW5sKL*SJr=w&LIPrA zKeh*c_!FzW3UZEn^t4U*fJop63*JJ5XJ(GzKlq8+k{`1&_iv-!(R}a9&PlNp&zh`H za@&5N4lM(TOkK-vCrc_b;gEl~mw)mV9w}>wFQkivByQ^Ji>!D}Z@ju;0({TB`t4;I zcE{84U??x-tUt#4!sae8K$7seB6_|MC;OdWvH+bI9{xjETEjP?P!&)Mn!^&A3{f+J z(?XBUH_tn|4_w8tr@pAEMct-WBb27lW10G{VJact%2bzF3As&3gwN9w{*Oa=qvGhr z*oX^reGw;K8T=1=r$PqE3~|cgxx=01=)jLi$pzIa!8O$OdOM{#MZW<7g-=iv&Ma7| zxB9YI)S`ex52-J{ZGt6el6ZaoV$Vd};{Y=5QRKhBT&j+wO;xjI`{#F!l<6k&w~pjb z^2xw}zoIS`x&fL8lNk^0iXD%-nKZS0=%rePP5$a${bE<(M+-iFBl7WqgHMBTymw#e za2`}OiW6y&u53MiJYsUukEQqlspmG|Xdgek`R91#jaaYak_jKQZh{brXox0(C;DP0j z4}-23iP}V}C@LuwS>F&iELK7UQ!#E;&W3HSRcM7BjzZG%tHI(EoVm7&95t32mMH6Q zr_v~(01?%In;ac4{283aI^yz2boL)tu%m(sa}=qh+#kZKNXp5ZI(Tt?Sc*kNw5x0-!vY3r*HV66D157cUbORQTsn!uQo-i3_KTer2m zJ}E1HS+Odw(e`hvwhbz=ZfbRjvz3e+m9k+?`7<(EGy4f^_h!~}a*z9O2oQU_A}SiR zhj3OJdLd_KiS1*;6PgbOu`%gJ4x4bQ)XsX)=c-_TWN^7SJ~!rizy7RKyTjGo7%hp) z(D%hkWswb~O6BRmK$FGPho&B_nbu~}PEqSfM{d)PdjVgSgiujAr`N=iNBf^kYP!!p z2je0h^-F7U*R=Ty3tugrM9A|@fb8XEluJvT?Vd}L+S$yLDTeVyR)BCRLb<4UD!alq zW9EIi*PqwKGL#}_=g>N?qm~^hHs5@TAP`UAw8w)nHFfOJ@zpiTG6bPGc3j z-QCg1=hDcLMaPNXrN|f&6+@F9aIa&zNa~!0YhL0`AK$4Wis?K=qjpLa5S}wO0@j{R z_e&KH+-}PA=iIrS*E=udl+BtSsi8s#iqPJeEZI1PSMl{H2I`_0JXcb!iX+#y1(R1) zYd0UhJ@?$;KKXxjSmAIbD<@jmY3<~P(`8qlw@)BEx>%VfqiBeE*yRl&`v{|9xq!vT zp~?Enmo2=F*^Xz$zx55i(WKS}y>HnqqYRsVE)N2t{`Q;(25bgFAI>z0?bXpQu>pL} z-I>U$ZMry?eJJ?xAjtABk1N~`AOe)y5-sYs#A0V9!KLKW!(7lLuA`$uwJuWjPtY_G zo9iqaYUy~vA3GVWFL^H{QruxShssbqb!79$%#IbiY>VBG5<+}4=C4Q`Ko+HFx(Y|x zDR%3pk92Cf`5NfNA_JwQIpp>72lvSEL^40;)%T& zDMPka7NOi|eutT2T54Nh`N%O~T=`7;_-zWJ3E7w?EyQ%Wb4q!%+IxB3iuTLmct<@PV0@r$N zS+;YRu4Qav;PIgPMf`J}0)l=$Cf^F>OPeV(thaL|Fa+Q5nkn-<*N+;HarQ59DdAuZ z+OmrZ>grxKbuj6Tb&aP}_}noG%&GD zm+f-!(N!~ww9cx;S^qcBw5cSzxL6n4UYfp;-}~=-OTSKdo88eTZ1}+ex4_zb;IR0l zD!-q6Eq?+jH1+8#Yg6(snV_FG72Ki)jX^PK;}wkWvrXs74S>d6S(ogAAa?mT_`+k83$lX+v18`N#;bke!T&K`<{_*L%= zMg+#|ev>Mm9e4O5a;ZluoEW2dHNL<1){B-u25V>L8J4K|J92JSS;nJLK-Evl_`tr$ z(1b=RwinZ8)XYVa_xojV{%9V#%(`n7KIq@UKu&&Zt+M0HSW7?Dlaol(QzT6N-KZ5w zjf(2#avaVi>bLZbiY|T?$(byAKpXGKv0L6|4J2VRBU7@|Eg6TmR^aox7fT1#*WBHm zdu;gQ72dOko#zzcsSJ7XTHs95sot+<| zP;U+#znOF{Ho5bzv-jUSNyHGZsO-TgZ?dq9^gZ>@eL$YdHogmynIiXnc_O*w;|~wC ze4l)A>aY>yd%9_DKJ?vDGUfIU?SmH0I1Ky#V~dIfr$0g;BJ;ZF!INii=?Y)PP0Dl` zz!ns8^@a}m>#}}m__mqoFLNaRtF+3!X5TMyXSx7Y^P2h{`{7Y<%FD!CR)Udf3c}|Z zY-pc)mhk}|@j^ICytxRRBfKZdpU)>2w&wbc@LI>8ZD@V%&`wYK&q1c;ro)VDZNALU zvsV6YPmIeVtYTokG8RT7IZHdHg(&b_ccBfJvjZHQMQ4+(4Y9sFkJzTKh(Xxjy-A5B zZ>y`t2IaL`{&7XzvJoga_K8`Y6l<%Ko&7u~=k*%~=&w0FdnAAPZUhs7dthP2Y_C?J z+cilao7KJQFBIMgI@t{&kwKfUGjE6VA@+G@xisMe>M15~^JS&gOY-k`^0#L+c-le0 z@#;5Y)sxY={zW(a?H@a6>yJbVy(IH#9#P(n8+tE;6Y*uimv~>MFuljjtU{I1ME&qB zq1S7g6PDLgqa|>Sw`sxVKj7f6kw7;JT{$x2%>J=Mb*hA0X2u*PQ(RjroWD?vTVuoo zXfAcia6zJ65UCM|@NKj+PG7v-wI~BwDrS1^^V)JVZna6F+#2C^n3z^Nzb_3Tsrpt= z`U1KLF$=M6#cYIP{MZ?rFDg!@gA55JnG9X(lB)0n3*i_URS#stzP9~%HlEPrKSX!w zgOtqND1#&K3LrzYc@3iZ>EBzWrFdv_P2jzU=}X4iMcIF3>UBc08IjpYyAo84S}Rap zX(Jmp2Av$vlSvPPfT=l&Y|PE~ zBOf_7)5Vwa=m|pSyCG1PRp`;CJx3QNQ0cp)ps2jyqlBj?rlP3mzEhEi`-v2OX~4fH ztl5Bqj{<63fi*=7+o~fQOp#qHLpGR04Ql$N$De7Zlev@;Jm30R@A;Eh`YFr0EDF@} zW3fUevaHqS`-5j09*RA$pm|K>vsa*kt%?Ew^xR7J{ehFp={Iytjg1l%+wRE5!LnPo z7~M^Gc}Xl#iE~xCbiOO_P;G`D%-={>{M9J**9rMvnm#vcf6D?%V-=$Dh zjTj#{uKLIO_vlwu3^+S8(U(WY95&4~?V{MJ>04crYN6HAXc%D}y5Nj2@CxTHj1s?3YYXWeck`m-;T+^2Lf zvZ-i*9ziz)ZhQU3U71-?rKLTj?UpJxw;X0j`HoXp~t|drF z*gamw5xo2*KuRrtDkLs79dj@4^}KSuX9;|9TZj{z$M?}ykyE|+y8qUEzubIA3DtYE!Y3!|D!5Pm#`A_$ic|J{#7DL zpY2zo_Mf_%#w-iluKhDtJsp=*vFuJrg?6oZP!(m3q!qiQk$H?)>N6D#kBpjrWZsPz zXFFbGhO)jPk<~w}^Lg__!Rt)mA&of7!y5Hl z7jzZO7jw;;`BUw)-p{Y_2RF(6NC7j}VZ4uQ+9!{c!2RIzDiG|&5R?O?m7 zU3;PHw24sdr$q{m1yC{Y*CtWLCWm2&Rutp2Rq@wqXrZQnQB>7PR22~_!~d_^G_h{3 zqxI2PMa3PYSzB@8wo?R5CWHUR=L?Fn)VFge=ld*Z(Uw!HFMbxl?rZiOomC=G_vK&cDK;=Bg=V%-{jg%`fuqKXsqCf|Y}wg$DuGW6sz6G$F2$c! z#~Q3f3kzP!T{W*Y1Fc*aeIhQVS}S^or>#~44{iZTh4LDO;%g6Oe?pLU`Xe-w)#cJt z>Y?;W!M;$sva7H%neP3Xgo~slc9Smlm-@NAS=Fg=`BzisARVKebuwimvggeYA|P}r z;8+4RKG%)@WQf;sX`>jNVIZv*WJDW(!i!W@)O>1BqVk@utS=I{=Fz5(Y0})ve8%}y zipEwjbSn`}=|NRAfbrd{#nsxG#_#xl|J&4ElD(NVrlO=7NN6|2-Z(49x93G6fy(s6xYzpaw?{k8cW2&r*dKtJp7-Gd0LGH_hr<5O(f8Esk>$#tD+0F67n z7?F`XZHa63{(=+A{f$qnz1{=gNaqm=SMynauDsw{mx6oA!V=Ea!S zQ*%#sP3u)EUgZ7H=6;241Zt9J`iP+0vtylF|Ilst_H^K}Hex&%=qU+t#%IPzsxE6P z1jC>5lR>$W5GNwpmW>AlTNJrAYm4w1^Mg#-yb(;g){(pV1lupSC3->F1P(q^4mk@b zm)IZJSjGILxo2VTIKsyHmm_Ra{urmDSyN(p|eD!y{hfOYYg2%Q<5HM z52hE$4@W9D-grQf9q(k8PS9?<)gKG=%__Q@`1F?)+sfahXuXE5$uu-3Bfo%qM5CXX|6 zo{+3NL}fN$ea!C4$0gEA-$Y{iPPr_fNNLPbM=yD~;+k=c8auJzlq4~e(n_>oeH$da zoA=4+%C2N*@^nZ=n!#CsRTP!x`Pw1H^_wm~{siK8zVBqGZ6oYc zrg0ZHy1Yp)He@V!#LvEG9 zJwi6X==9KfM07U(-pDu8K?{EOJdqF@od3}F+-;5&)^4hDEcdV69A{ev9b7Rl ze`SBKcxCc>VT}cr_))a;TFtY+=a}&AfJ?J&-zh4W|Bs~ea7%)H+b|#~LmUWh6F1_* zJuARH!@YCQ)LfaB^&+C;#+kElYiX%jSy=&YGjnHVz0NYT(x$D~&*S&~5zliU&;4B2 zd8U45r}~A0?-U^n@-}(k>Xa1nLgzDNGz$Pq!wf?m!hP^;h{fX-ZBX zK-nIh1jrC-#>U)U#Br*pQSXt3@Q|L9g$M+9Fhc}psy?R7f>kGW8|F}*9U&McwT(HN zPW50YSO2w8`joZ^X85^zR9w$xqr<;}!K#|H!D;R5q3H2Cr?9Etmp|f0`QLUq*dRR}qMX`c> z)R)53?Cv|3u}}Jk$tpb$Q$Fex@MkmPn(A7l6Pn9YmZI(!d(_4~IQpF5bSJf>&R8Mz z$IXy&E00%4?7Bo=r8XGz%bx#i!7nR+@RM`*>d@~X&c}a#-oCpBi(~wFm0IfXe5dD1 zergb`EmdJvf0#j>#P4>9=cE*$BSV7c&#~4N{;S|WBEMesg<&*|(?uvf*a^;=z11;A zL(J^XfVCQIIQ$|WhH?;`xs&TS^O2E)W6_izhpyUXGfgi%Uecf{?e}eCUP?J~wSeU9 z*Tz4%c(azH#rNB?}+E~@RD$E zcCj0qhP!ntW~%DiTZCcU8%8)kJ#Vl1v|eNOl^goCGp<=qv@QOUuo2*V5ep+(%(WOx zihewG=0jKGN-oX2qS&Aerupv`NbnDDrhH?FU)3#%E^Q*3|Z;o#PSZ#<_s<ZxXl=_;YJYg7V!G@h;uLtBO@Q0eAtHOH+&hK%Q^0)OEp?3Nmf8u~QL<+;o#^uD z>rIU~D`U9J21V7rBjn%^3OuJ$>r&p>8|=~vZn(12ms+MK=KmrSdWZl|Pk54}un$4XsKk|i< z1wdWL4ihU${BK$_uyfCb83r zSJB+&hf7V$mA)MHE}aJw7$tlKb$t7zm@2;WqpEE>2os{hH?69GF>JGMFASokRIW(( z#@OP?rfQE?$$)y zHH(y|I&6$n;*gc!y~sG@!aT{fz9;_NJx3Eqo@Xm_u9yd_1%Fr}zP0B-5zpU6ggP13 zg_{9b{D~_(t7-vzFTMejn@lH3TX(E7LX5at3g-z2 ziW4LkZ=x0V`E?D4pj_yQ!_R&BRC6OYp;FJOCR7j=jt-m#dogK}4qn@0cl(BV97FOR zrJ_`uIAGNZHJ6U+rYU2MW)mG-%zIGM!%z#6sJnijo5hugb#X-q?Y z3VR$}AC}{{-|~b`wDAqk9sOJ_rU6HD2w+n$__@@Fvj0&`N68BuD*_Fj%WHJ45|H>z z<%av!JioW+pT=g*N_|)=s^c18HE~XQb>6`3_$BatCqmr3(M(xomVHl+b7XC?$4=T2VY zpiw)igYsp<0%84YnA>I}YRTFN<6Zd?M@XiYUHuUKH%;i#)Ebi^35l-Nc5zuraG75K zN49C$QDw&GE_I2TU&!cfb&R#hZU1a&`;*WUs}?vH-D%~^gK4K^eV9vlKt2OY@|(Ht zs4ACjH~s=rf2&D4Khfkw%g0iibTqn22oh;yj&4}oNBL253|AV|uTO!@da*v;YE`Gx zPBoL6Z;PWogmtcAf!(32IpEsMfeWq@1H-dXNy|dnbKaj6sioBi8_Hs}Qw5IKUwYQ8 zB->+l-3sI1e49Kg*V^|JzIyhjI~OGNyXkMwmE*0YqPLHTu`=QJww0w_tk?X3t1&{x+8@ou98N7C|An*^wnN`{oY^h*SLm;r~#=< zZMH^-1JaP0D%vRo*1MFxn^{!w#~EvZuJ8$o0O*f2wXGFa0T9uZAjziDUlb!-m|ohD z28tn}vX4AjX-oJvEb!(KEftIU#Iga_HhJNZ3OH1;pehZXg)LHBd5BG?v?ReKSMi3UyV{6iNdj? zi6{TtEsDmCJY?~a^&K7qd}H0MA6MFZkrQdT{T$8B2y?TjG6Ml?8L4PwGIaEVcm8d; z2FTOwbhonBZdgTFS!PtWb`>+QD?=NW_odxtuU<&z&S6sda?WCn0f8&>j%*|?@dHx( zL!YBn>Btr4>Je(Ws_ri=NUBBy^X@XsOs*CI=%&xn)ZuCMBD?evrPD0iCWgXRxe;@) zCLqdUInyTD;zoxIHX&=BIH*0EuiclS+;)%=m?Q9Zi@O=gHU2JblIBg>0lC-=sB#$2 zSW)Ha7b-(e+kJtB{>y)=xG%ks(l&=30Fam&?aCm(onlji1P_^LQx}S`wAiTLxgsnn zKAB1k!O0Q}_%32;H-A1k^3~p^@HMpZq%PX}VXsx<8Lnupy{0(F=w8}z3S z5|dA2!P)W4Pm(%D6u}ML{U@)^9eJp4jum|>b6)aU*K64Afi{i2wlS_Y&O(Thb&(=; zUe8=EaZ`SV&#Q%xsAO|1wdfoy|BMC5S;zj2xRpMKhwhaDjWoX?lW&|4&0%gj7xKxQ zQT6)o$%sIhiz9V0+AzV4I}C|j9bJ5wJisC$7p~Z+rv35xP^9O&9t(? z2`wQGTZ0tEOq`9m%V6Pqri+^T!qFKCU3FNIm$T{|O(dqZNFRva;R;4_)LyOlsW)kF zxl9NF8|8{@h#OikL|`PN3s|!Uoc?kT_z#0gi*%m8%2qM1K_!5f73kA^N)Jrp~tHj7ahs`$x^5NhlQN7+sZe3jD_58 zxMe+TOBI(VKfL0hc`%#&hazi9W8>^~qDF+RvK~`7u+Aw$KTv@`wDsJPmITRs&3pp? zfDE0pxkZ+yr_W9S^(&EbY!Ge^q|OCtDb5clmAk^m=GqHN(#RrHvdaX>+z!Znlq9J= z0LSt80+vV&%xB!Q=mgT!VjdP3VC)9PTLAFV*Yrn~f20kbq-^T$q} z+hcxAyN3S)WmX|8M9G^wu6ENZ0`2)IsPiSEj8Th#e(w|9{X7*1a@5WVh16M5JUj6z zujBZERo~+9Pr}yEj#-m=L4!)44VmlO5a9xzx9K$yxnulP8Xt?NJBE`{%KO^9MUq!f+wwm6*%k`sH`}nS#EEb1<>iJd zw!VlEN@!B&HxFt6Dh)EEr$Fj+v=9S~oDq-uK1h{_xg0*NVKSh%zpfRC)MbG5S?w)N z1B#h}xt1ig4yy7-fhhoFER??ImEm=!Xg6q3KY@$bLy{%w6JN2>b?|FOAPY7TU(4gr zPeydGmAo^z;voSEW1AC$OOlP~KRZ(`Pp`PYEhAXM-zaENc-*u}zj7SWyNiXugLzaW z4a}6;n}A@kL_5IBTtlwSpKJQW#!`(FDNSX3F|R)#z535R;NxDg(*JyD;MbknktXSR zr>2@>30pdC8wuS$_D94%UK_p_{(Sx2l4<1D2hMerq>#(6%K+`XpvpE&x3I3-Ow6%> za}GgShwh2=Hjk5^0M3VG#5^{oV-GlS?96E$cV27njI+z!xBUZzsvXl6*_=F z^up|hRa;?U+s*x85&Nn{DmT>c+N}Dh({!*025nV$nRZ2l;;mZ_&jxE7^ePBhQFWEc#2@+2)F0DQTJ6$*Ci~ylx@}`P5qL z0i6y;mX5S<@XcMBA%XUxXzL$#yci<+2OVtoN5zv{qai!`Sq6$T%)g!dLTXVf z5zGaei>w3n(r8#POpkvz)CDt9$i-O<=n-?4^6}Tkog!}>REms}q}g;B-SSGxEBJtI z?0sea)WiHY`7!C5Vr_jSiOVey?*(leR~{e{yq zMw*bJ+fj*TOzXafB5tgdEQah5EDN>M^PQFT^jiL8MvIJc)H^^bW*_yN$f@IYcr4MM zaiXgM9xeCmq`KgwnbKAr{}>9H#-7V04cjp?Tw`Fdwnzq?1FnJ9uJa=fT z39H@7LvbH(SltOWSMb|1O+FJBNJ{009(x)TER76q(`s$^4f`5o)!S;od~PLrGnuV+ zi}D_@DMO0YxrO6EzrHSjXKW-I?{UkhAdNpzt$b%qlYAqPEN`xgSnO5;_TO&9x}eU41N)>jzJ8aHAaTTT|ClTTg(H64I{9rL-chLJ z2I+Y40UlXcrQeG#|1tcnp@hhRdqiw^@YLEubgB4xrC-)XG~G&?Dj{9hi!2Qm+rtt! zTF4UsF7i?Go7_R!<%994PJ*oHtU}tS9-DfFFUj%^+K+AORrbf*RMQ{y?}NVrqnX1= z%O_k-U&l&|iT7+g%C2{Fy?tavGkX6L%8jO#3qrC%IyJP=@acgnkXsHpe4A0Y;iX}eG2lFK z@!ucl-gom_9y@*oICYZIOV!gO!kU!(`hQ5`rh@A3N}6W)N}xye!%k%z(CwmMtQ)(# z-aNv615zF9o5=^3TTMJ7BxC{hnDnw^J>_X?(U0dVCg(rBC>Si<>Hoz?P6wN(hZX)1 zEie8PC9@Kuy|-1O`7Uq*ODC7XuT_f9hsRlUgO*=9&F5HlDJvvaa~mJ zBrS6Fr&7T|g%-uRwhA;98le%@#Ig~AZ;IS%m|*%;H#^KqiG1u$Rmc{4el=ui1(MEJ z^rSna&FJ25VLpLcOnl0{u8rW#8=mdr=X8}pV)#>_!p<4xJdl{ifa1e*-`2C0!!*_= zOnePwr0vR5ZpS8gUGBk1S^j^VRCS8AOGC}!oN@L(W5pp+w`)%{Ro)BC@~LjawX~HV zz9e__HGJ~NkVpIwDsJ8#o0#1QOya4O&IHbVTW2BfBD%luLRX!6irpfqdLumToFNmc z=lXBHziEnR_3fIkPV=I_uPL{kk9a&yw;EKI%My3z?GTiTF>wx*fSA4ut>TqUV{)8? z4$LU&8aThd{Rbae(HKDN{s_6*p@c!s>_YUt&khdgW z8;tKU*s|qNh@l z<+N;3<2V@PDxNfP&f;mts2rczDTDL~dUhGrB1bD{YADmqV?PrXP@BLj>ea@Howl|Q zZa@bFYG*2_Mgy(TfkL-)BqJ&Tw?&Rvb|k4Wqrk5mH)V%Y`4|NDyejg{OG^bD`ZX={BSRyokVZ~IL zq&L8Z-C>6#{_dXIkOAiG#YehJa;!*TDGLe-f=ecBLq*akQOJwKC(1=$8wa7jNu!20 zY*5UhdW=8%P(u(?=4>S{b5HxGqr8M~h2z%u!HH69Vq#GW;8UEbN+t|+`4odVG;G^y3`$W4-hxK4Nv*NvFJ=&Q8dR&c#n{yg;r?8oN71-=vhER~D99)n3Hh<$U7gEj= z2N?zNukgR+)lm!(t-O_cd}Y&k!^`4in!ZVZ|65_pH33tz`XhTn14srNBp)c6vDXoC zRB&bKQbjla)z}2YPfiw|Y9&i})F^y3X(_|RSwK&-Q5ty=-I&2@>4k?uPx)>MT_mC# zy24bPig3baxWIdzP#3A0DrZk>`KUW%CoXa}%Se8@@M)F#>6hB5+9T=mWd&F$r)pfD z+FT$^!D{hN^Fpi)dWbiov`G8YRZM!5b{)>@yo7&^Q+q)OCC5&fvRvJhn3*X(AQK-s zglYmJ#cUcC=l1J9rT#FrJ~}SeTxs4x{rwr90tmD%~+JzkEnNONw6?3qQnv zvdbLGx90rH=Q;Cvxov%cG^f;H6{#`z#R;@XC*XZY z-A`(kU(0MV=tyeeoF_{!O;!5))Qr2cZglHPzVM)RX}I;WFpf|=k+x}i4dL3^XHC3% z>37>~^lze#ZOZg(T1`vPrzM*SH_&YdK*`3kH&?ei=sJ;*^3_yxPw%#w00+RohF-in z?{-y`HdhL(MCc7%B&IxY>2= zV@}HEcSAK}RFaY()Fgi`5j*(zhOOvt^Ww2V1Cvu=KHddlvjLdU)8`LSBf#a&gg(O~ zErKLx2$^tFJy}&xx4N&GcGD4fQk4mobcmdDGRbelZJ0d&w?F)G{;A0q>}TpZQR$|U zn@HcB@8S#CY*F^m3UAE{pGIY7h=Ay9v(cvN^FGqA`vq{|sWFkBc$C?~TLIgC8fWF# zkqiat+1qRmHz8ikS|g)uV-M(Ulxd>%RDMMf8{2+!gp4 zqaoF6T^(}j1*^en$KJT#1WSOQMrE4@)LBr4_H;VA`ES=q&(d~hZ$TyG^1S2JE%DXD5Vcth4gbw|q z>;<%KB*X~6)pQ>IPbR_#zf)mSq_PS*eWUbpTX+T>tuy+~zGfHk{^FX*d*;BsjkgbV zrtI2k`?5OYS1HUpPY6Qp6TyEZc*9rg zAfItBcQ8JF<-zi|8{VV5Zc1lB?b25yUMd=%>sA>;#XOU=kL<@-YRl=SkWh-ijnr*J z8V`^TH=22S=Rmwmv$sg3WI%1AmDv|Ks&m~mW)jI*&8gf1SI404z;g#1&C|lSt}m|5WoouQL$`x(D8;$K zPA?sfTEO1;B=#$x+BWQs9sM6l=;=F6%lY=CXA`p*G@EOg^7M&d z(LhTHMGiO|(zc+Yt{3F5Sgf-asEq>(%+!1P0AzAAq!|D)>3Gm5u9Of}`YR0~DsM76 zC4Ml999Z5&z77-9yP=N*dZ%x>tgDD56@E@7-0}5j_twZF{WmE2Il=^)GB8|f6L&_O^Lfc&Xdba zzbW0+L9lr0!5r_|B3^Td9`2af!1KP0oVf8OO0P+zC*K^rVYZebqizd*`Ek-99Xvj zaZTKzC0Q~mxoursAV!>pbs<_hZxIY#P6!qtzovESQb!i6iOrNXiph?0iM8-SGxn^a zrS9-`_nAz8W%GvRdj31kFMFvTudxDHbN_{RB2Q>2$q+HoHb@pnJlQgY9tH}N+sx<4 zb z;J~hIF*_yt!dm49Hp>P0@=o_pnw?LBrSvo5U#RTOG`JXQ>{(&Z=oN5SNt*?`c`V@;7A9kSQ?Pi@=eg)^f+ZWjbHCtfoORw7CG4dV9JvG`r{xdC~t&-N_??Rqnb zCN9ssH12vK%0Gi`K(O-g4XYA!xQxBjAXi5E!!4r`_MOl@-kYqpPg)0_J$BjA&>M}OsxRL%7E}~f@E#FWFj)4mQDNIRrO2Akog2{Hn4bU6`!PW zzP58fR9LVP%f|v3FdM$hhd?&6QI2d>gr(+xWU*)Rho}qzd=O*`qBYHhECh*_kq{r7 z(&Q;7J(d8g4;XQv*rn05!8tV}j@L#aqzpK)a9V6f&HMga?$V~FWj97SPWLN8upTG~ z3LnDb;C{gZJXvms@107Z{}ft|I0<&C*GO0Jp{{FP-}sr9D;>!G5ywjF;HoWYtLeRU zAWXesSP^S+;d=3IdBemW8<&+_!D_Q5*a{Y ze9wEycEt?nHSoK+#Oqp=C~w=69x%YvC_K&i{q! zUTST=#E~#sUvO(1Fv+JqnyJ2@x1eq#>1P+@qtrsxv#ARfXRF{{g02b;*xKIlo0RuH z!XrS~=IaL<7p}HdHhOk6hUBkm2(1|H$9&8h0#|-jFI(-Olk+EQd-H#6q&jQQt%e>? z7ftMJW^wwO(#62TeTSij)YS~5kfBJqz)Dic!RA|J@Rl8`K_iF9KNBK`pKqP}&U+p% z)<1=Z7rA1h<8^j(k0}xZ!%oV|!MlHp!Z}+nQ}nc2*xG!zZNj4UK}K=Ui7Gqq9L}L6%llzdcrk z;m>3|0B}8pjPI6`!DVht)x}EESt6uAkQ21e)I|-^)FaWv`h{a{7mjbKYI_<2NI`otc)ei{H~c;W%u7Gn2fJes7@00-vX5IxyfI}mgBEJ9#7+deM}O;6VTTJjH)5q1kO{l_8P6FhCPg5<7h=;?2|Xd=uE zmTSv2+}5ol-^ZL^I0Kw&+Pw&>7kGW2!1AK(_7gD`9)X zp1dFjUb5roS*ZOO_JEc7aHbX1d0MVRi~R_s047vt4jkGYeZs#Wzkk3e;vd~t!Y|K= zr>PphrmA^xuJi&hM^?oR{5E#^w~v^Yl7yRFD!!eQrvLV z2HgxYPF<89DX6~@XzNR*KCgT1OE= zo+KrmF0Dus;gV3Ja;_tLSMYr(X&#L!aym6x2OUFTfAS9us}o&B`EYQ5ZdzAy4m$+y zmx2RoSxQYrbZE%pMxc$s`v;_R(Byl(j{Ry#>`DcG|AL^R@Qync3+6EjvVHPBKGQxg$ z!gDeHGbjgIHx9$pI}WZ6-KuaLe znzu++&{#R}M$nMp(k9>X>W};&gTFe)y(AI&ATpY>1V1@pJKFK-Qy+jA2fvZ7!0sUZ{;z>nWa<42rn7&yE^E#g-bg2nYgSpV8^o<2 zFlm*)A*{Dz@CMS^aIX_JM1f_=(2E(ZLc4&Axg*07Y58ssHH}=8HtyQ-n%)ly?~0av z-*`IR#GEeBEK7GsT13m&CIl=&u|GI!Y0I3-Wp9AgWF1zO4nYH2yGfD9mfP$%9CcKo zEIa9sbqcE_;g9?6m+ybT*Cn5XmDF}6ow2`seoMoZ1bRIddm&7ukBzM15&CK`qF0ZK z-9f6aidm2Zk~y7f3QgZH`#*}%s9TdvZuVT3JJLf|L*e^+g0(H*|L7&6jwR45sHiI* z7H6{4+`pdH+{!3Xd-{HA(S{~qJ=aWb^p5`|qL#s_HuGbh6uHu{ER@07?}Qvc&jk9c z_`Hv*_Ge4NJK_T;%i$9u8(@s0oHW-GrAU;1pCi)C_Pu0aTWpC|Ge<>Qg2dB3vgDR^ zW|t>}=^Y9EdJi64{hpalL)XfkWu7{Pu@w0F$oZbIk)N;-?={UUr}4pChWC9CiS&+d z+;%UEq+b_uoK_lb@4IV*O-1}}3eDv2ClpA7TV!gZCmt@JxhglGDnSpNh&~@>CQV!l zc`dRXH<+&Q;b=GIG7}&1nYZCu=XuLN;y>%|@7U$=|Eq&f9rsA2Ke-)zQ+R~{h5Bra z$@l=BZPM)qfC3=7pvV(+Wd*{qLRKF&?NPvJpY*CsvcZ{jaWUmf^;F4&c(h7|BOb^t zD^qr48S@M^t!Swt&JfjXcI(lRlu8ZnHTlV0?`^%|sCtLlBBr9g>V*(_Kk2aYwMr(s z2UDip|2lFkF@L!T6JIzcDW?X7!E0!L%9;mj)lZe2j5?n=Q>X3M*B>Qe&;yaSdzW%= z@&5Y}!LuKG{l0{|=b4J!ByUGglN&wl6MZy(4)T9Og;T-}>Xi!0^l<6d%d24pqI!`P zQ^<9T$;HEkXurgRmE+aBH}*>e!v}YK7FEm81VltOi}FCRNYv(64ET z+|gT_f%&Se)Ky?)FD)DGZVq9@KZSyS?fH!~ifP^DfAD>0`QUDdSPy@V(AzpXdSn1r*5xKy3v^Yoqc`LVUx+fr?!@>wy$l?k$+v zl3%4{#D>?Ir}|aG=^|n^=w?Tuwn)y5pn*h2u3`Jc=RDQkL$USY^`wxids~Q%bkywF z6_u{G8Okv%8SDm2YxI>uG#BE5f?^|~BqdGdUN*np90B-5OVII4p01P8x&zvIpRA0V zbO7?}PwjHSdNYRrR-E8bi&nk!a1W+lzj}9`v}WqJY4uxfGc?U{+%<>Baq8CrHHE(` zNc@J)uDP@$QEmwSafK$Sa(c^UOq*ne0#kO`t_N<4MX9JU<+lEMTcZ>8Zr;W1{n{={ zW_uPeX|+MQ9N5PuvLrULK8$NqwA~;qtvQDqF-h6HEueMrohlNS0Z}f{owb>@6A>wH zC{#Y}74DAr@q2?*x$J+ds$ac9{-$@?km)AAwKEGFQ)H$?BiJn(z!dLy-nAT9G|I0{ z7?(S{Ec(QVuXb=+BSdDTPVue(S^3jq%R`ImAxFkHA+2_@*M!XZ<36Oy=M!#>_v9G; z7u#Sn+2PZdV?exBjg9Ftjx3B3a1y^h{o{7Zs`dh_6GG#`O+^E(iI&_BhuU`pRq|L}X6AJ`eUVD-8_Rmp?euEAt)Al~A%&uw>94oCvDzL)+ z?P?f)JSk6mkA0CS~=Yk)?*#=D&kVLPiVD~l$(M!X(9ap&G zCB!i|>;O!ypDX}SglMsV@W9#zv1prgwQH;30OGpH$>~f{mmpABA5|>5fv)2ak4y|D zNrk7%4qY^>t)odl5u^xw%85FL!%;e~F)MdxOI!pX#Ow@;l!-ON|;~FbZ z)@@BAS0_iu?JN8&?1SvDv2gXwKLAl z#&flJzZ3_R)q5!uNWV8Wk>D~7-Qm%d=S+;&E$?-~g?*NSKrd@?qQ&4T`>CSjLf5O6 zGGmOn({Qb>d0tdUwiT=J%=uIqdDI?b(^vwbIShg{@kte=R^gXf^q+G(`bO(jo?iy= z^}<^bzh2PQC-xZHOAg}U%k=NkO~XyjtHQ9JDJlI>ewf}Vaf}(SaVD>zxOgK!OE2ot z$?m)pHW{Li1Ib9g;v9vq@)A{mY{8b5&YQRanf@6|la)Z+$Ohc)P$r7lAc}jHwI{j= zW#TGV5C^K15PJtBMpc?HJn-8fS0w?~g~wxLw|_3ORm$fjJM{z*>oH`+(Hx1RwhAe_DNxZ9PU^4XBuL25M9I@nOS<0Zy+&-+2fAxWg^^$;^027)U&pTBO zZD+4adA?&dRyuR6tdo%@5?S%XH7WJ{whXY3hF75XBzJ8$JXfNnuT58T2f-Ojv3IGw zT|NHQI4X^7&m+vQ%367ETrY6u{52c%3>aT0L8ao z3jW2gnR*kb65sG7V2k{33<+qeujBNOL-&TF1mlU<=aTw?Zam`exW}Zx`96`&()Lzi z)2yn>qv;DZ1#J<5PlJVL)b)}k$fyMd7*lp&ct4?^RS!Xg z%hCVwvdopcRfYE5#FR5L^e(L;T<6HM`DHOJ7XkT)R!LFKNRCZv7%Jr56P>V^u%tlAZ%CUEe9xyK4ZM z-OztSCy!U{OAN@Ai09Z=+KYidSvH8s@Y7Z7S|4cCqNf3MS`|WKmB|7Ep_iC)fu9qR zp|>RPDYmb76Rz*_$@appJ7b+16LFzZrY%yYZ^E?C>gb&fu}BFq`j-BLB`rCiZ9g13 zMUt^|w|FHd?H+F7tna=9)Ma92^%eMg*zSJovfgeU!4QuTCVYu4!0(ch*lZO9mJ7BB z_gB!fzyG7E8w$d~U9p9Juav29+mcwcrQOV7Y(DSQoG zh%xYqi-X5TO4J&_21_Y6H{5-1rYO&0kzG^gdLW2s9b{PLfl!jXP%>9+f~9f)tC%B^ z=VrD>#jdwsy5DZgMa?OSEr>4{rMml-7aMNmO;D?51SahAx|w6tcHytFh))0*q!D~a z9E=tM7f(eT??R{%VHE(ynQx-s!TyTQ*@qPAv#GY150}mZFw_+Kn+RV5J2tsk>}r=r zGAQBifXY#M@m>lXB?g%Z#GOh{z`oJs-PcsMGH{#G{K#~X-EaX0dw`PCcPOqJKLn1y zAseNb8{L*N2h3x7<>%4>>x8HjLf=N*fO8?(W^0KS{lgc57fFu>Wc43XEnhxh{cx99OLY;dhE zvI~Ip3x>}T8DWQ!9dq$RbgT%XIL zB!8bNBMqU-r8}V0@&2{!T<=||3MJ2O7vM_ATXn;{cX{p`#@i)UCM1{+_XS*Z%MISU zAQ!HFDnVT{(eCpcZbe07c7~EhB2uRd?kmE(gpA*i5g|R`7umKgi_Y(%JfB>Hqvg!J zS;3{wE`2Ln|IN4*#>@Ro(9?I7VzLehSK>i+1R!86?07g+Ys13gJ9&|qq?a9P?(ViH zaaGgi>X2N@b6A~bv|qFA zzA(C&;G~|FYeAK)B`GCYD@leb*4;*UgHppQVUc}Vrxp=a6y$9{Z5c~`fG9eWs4k-f zY#4-){s&gPrGR_i1*Q-YE?Ay&5r_l!)IW@-NMmOwAr%B)5Qb!uLXLSfN1>Gnl*Rj9 zh42mCJ$@X-_bRMBblTZ{%DE}hEI}xLFqrgl_vpti_}&!%8+};?0?3nPrTU|)dN;3( zQrpmndvW=qY_WsKiv#Pe6?72K(XW_e<@FHM3Nm)p!6yhd)Ox%ar_#}=fxe>>m80Ci z19`A3yfN!M00{P#kPzNL!bV{!XL-ttU5td&7uxkPj3T`|MS_7+J95%bw37sMnb)Qg z2hJw}b3)a{ui|kQD2d|5Knt6<(pGa8gYlp^p>Q7v+Hcc6unB8g8h(-vC*6W0T~eYp zS@GXkVc^p6%^Pb|0t!_8B_*Y{z4|tS{!?8g@58;!3h_7#5zj`XtRYww1T!-$U(b6U z!2f6pT;^uk^1vet)*nm&@gPNE`d8f`@^6mgM|7{zX;2loZHk=MW~5Kj=GPFpyUZT8i?-agsf`aUH*`6ckk_H;4>Ap5yK5g>`~RzsVZ%l#*Z$f=Rd z4aA-jm5ayJ+sR4w1nN2sNOou+{d^6XUD02N)xW+H(Y9#zA4uXOsLKW=?gBvECO~em z4<0T*>0(n333|w=72A1BiE1JQJG6!kgS0r@Vq-ev6>i_DaLDzo`yup-jC7gm z>EvNU3kQIGEpL*BJt?0sG5+&pqtpBCE~QNFb0@& zKT2hS0(SsVHKvGQqhp^yE=rlA|6JhrFc(O)E*i_06w@KAddBJN!@QXHRN_H{?0edV z9fQ%G)l#7f4DG8AnA3YnRuqAw8y)sxhZ9Gd%)0u=J4ClJqm}F#cm^Aha$ptsRkx=L zj!x7Q+#Y==DFvg_ZD*|_=|{K1k50UdI30Snp^TK7ms?I!^I64Yhi0(}kXC}>4FaTb zg+Fx)zWF{t7%UO)DxceUGGJZc(Od6b-nM@~i#<+JuKa?y=mO8v9)vd64BSx}>o{)U zd+U}V&deg$5(x=Qh7OdbLh@nYbSK#+!Tz6M48 zn|r~xeh0tbPG3?2;yJj-U-F-gdIP`VZV?<74G|e70`^$(lpL}Dcp$083JoiWM_9f& z%VX_?V-ioH6{~V`nG&)pAShctPLwPk8u=f$UtUp9YzwxtQg?UtpiVy%@@_0d`)&vm zz*S*NdANtFluDazm^awF3EIw)zcQc6CA)0St^^%1UVt9O%_O!b&KZ72mFynt3IorPIy0)vh5iCw(>pIJy5Y&})Zb4yx{<Q|xAIhIPIlOum zvsWIYGI1Q)DVFNo3|Zwbm{&ba9FLSt%W$DzWBI?w@)LgU!CuOxanj&0+mz615UIqp3Ptp+^Yoxlx09>Ml*==I%`&jCDs{iUWaB<7Tk zX%J!QY(%ac+z5-Th<}#%QQ#e-Z(Hf$Xl@!mn$l;-hP=jZtFa3HA&Hl<5RE+o!VtgY z2Jtu$5?(%GG4cN88R3o(&HqHjUn&&i_8_`0o+#uy+nH;7q#JZwg0Bw->0D9u#`a(7 z;^VyP;~bqg;1QH3lm!74iSG?O{J<+PTN%|^ zV+yRvyC<7ZuJR2P{W5#3X_YwGu>f3?EnHigUVV6T#7)`Vw)HADKEp*Le8o-IFsUSv z$SUENn*8*~>u-tem(j4^&Nq|;xw|zbsSEtQtAD*MW$iL_aj~k+Bp{&V(D|b{z~mMs znpRA~J9nFp9>B3JkPU()_f})~siWC%JX*Ps;a%RCYc;~0%U7U6iK+UsPPhrm`d&G*Zt?ete1O- zX_Q6zyu1T>d1w5R&H0cu$OiZl4o#juVO^c0hzhb|*@>T!*B%*6nRpS3ITbIAg~C@}4C%XepN?Mz9g)g_a`iQ76!{YC(A5n-F^3W>v}9!z4INc|=n2woPAJ9F znt;vPdB;?DL=JL}dB5!{03l*7CkN*?jv5KQwCv8SpyVhT;m_G#HeA+jx#jknIsoDN zc?F5qtwaWitIEo0tG0aAJ)@e^ay}Fsy9`rlF)aK)j_&&*>HU8jxF9IF0SC?y5pi#G zRiLQg#62_juF%Z1bpTOu(j}v_x&%te}e1vydGD9 zl+@WC5?Jlt$KT32calUC+NJ$Wzh>OeYWR?GBr!TzwPY3buAa-;-$a;c{bDt+X2ZC$ zk&VHOvLM-Jk=sv*hNA&<2J%jz1Q12kcKaB0ddgfx$TIrLX43|M9R8bC*eaK6?n zid$A_z(o)s>(Z)lUrMBa%*Ss0Ijo1P$AJ)GO5*ynomZ~%@@X&%GTx-$RT^R%TmwfNTuTy|vBr)KGX%f7P0?NPL_{aL=fQKWiBdZd(2U*{+eVaH;|jc{n` z&e7-?uB18#raEnO7!YQfRRwKhqQ7lI^ktG(#+Ri8+QX#Jw}~3MnkD%*HmhSWFBD`m9ggx@sfL8TO%lUVaN&fa4=c1n3W_vH0NA`yPMcq6fN;RN&9KC4s z%=^?2H;0apPjF4$lU}u(^MyKDki)Z`f(^f+a%Hek489^F3sKRnC+mL zFlk3I^VpQ-rr8rA#h=^^ZGL&B7c-YTQbpGtDJQ0PiU0gjX}KZWgttzVU?~;z@qs@H zdH4pUfjmm&<5_l___VyXy&4qBDb})82Y2OgVzdCx*e0FJ(P;T9>ye5b0AlvU=$^JLAR1m)X1hAm5@;M3zGo* zkrF0D?JK@L4`|A-KWuFEOWH~-XgR^`5v}((P;VqMq`tpX*=Xg7o32Tn=A{z*);RKs z2!4_TO2eby3bPuYdk~BnSM;5Ir9Z%^^zR>5Y@U_!ol2PA{M4e&Gw||d_saY{%|kCU z#?<_}@(SCA(ewKtBNQSnx@TQ=K|w&peB;FI%X4Q&B>*RKgGB+0AB_ECo#IU5B?A*E zr+%B!o@R278mIa*`h>^m%Q9c(t5MAMpS|O|BU|}b}>%WUr&8_rY#zU6$ zWmg1GO!!Vr+9$eKf(g=sP865SsG4;Gi})8d3T$;V@-?jmH51aLwzox-w$4~vw3Hd= zbY-2i-N6;G){*_3URukx_~GjdJgFv!def_N{;(M5C#m1(6#JcFMw)MaV{#owHw{Jw$YgmmEX+|~7%3Jdv!~@tg|6U2{ z_nBbrX<{?J=-8eHs=IBnAOsT2(=|Ql*49#0E3OD~1LhqW>}IG2|Kt zIWnQY2CWl3rt`fCGQOZMu|NTshAm^TL&F{wQ8pv3lyn10CP=i)Y8$1I#j>jl}Y9dm~_BApPjrTzxDj#I3r^Hj^O-0z^B-RCTt-dMRrL4Ah?E+1ohrv4j;< zz%qQ6-R16v4I0pxX;}2#awyV|a zOE>EjX7Zq_KfgdjGt%U+Pm=Ld*BL6+=E6t1H0%#)3Uh56XK5*y;Ey5b+7~ChLhV}6 z1$<4>!?0E#9y+myh1KR_?;N)))H4(T)&G<#)Jr$fAZ|H*#Btnyyf3+LmFL~DD&>c| z=d_)kjSUA#@qeE%yx)EIcuXj$hy^-ly9$jh=YVfe6`sG6B%3NH6-FD_ARvt6nUdS+ zt3MZR{OReR0&mYc_+$v<)(Y57;l3_ea9B>T4Eg(}U7lMuG{;rachH({G@AQ`M&={+ zDc^Ox%tR{yVrSSY#(Au{cE<(TFtNJaiB~_4UTVmB8}hB{&0@Cs!PP<-my;=zYDUJW zq6KkA0OJ z$gHl*f*Lt8H7SP9K3Co^9tBV610*0Hda#*P{IL+IC3!aONyQ;P2{EtnneH7S@gs}~Q z9Q|eP7sT)*aT!a}>Ks5%b}4J8Z8AE|%ZH)u*wc5wUwn;~dd=tl^xk18C4Is4@Y)=# ztp~V}%pdMU?_DZ+<7PPkm#XLMJs+F3221BtXM3UqniGA$QoeT%X;pPB=d`9zkirC#<{=|`_L%{;TQkBf42}Qj#%jwHO&7v z_EABFxI~rml~`uRH&9ZaC|s5<6<-OQQ@@_jb^T)P0b908sM6g+0E84cSq?s#40av_ z!zjkMt{hYaFRpUXw-fY&40eWCI+cT&2S$aS33Y#lL@LYWFVH#+kfKhVAX|-Uzl4lS zMDXG&NP9==-njgBUuB4qfXpCbBp7nrp`Mt9aHnxc>Ge?stnfN%2igO3^_#u_<4yrY zWbij)d~eL`89&%>_wCQzQ8x*Ru8TzhlacfUBlNjG(Kpco;2bVB znAQ_p-stZt5WxmUvVf<8fYEF<1Wmq*1n!M##`oiP7M16%etfh`x<_dkDe}m!sNwzl<_@M33GWrg65ZSg1`Hr=K1= z+l)dG@SSGz6r8R3~Qj`Hs1%)Qiu) z+pp?zfMS?93J0reSK-0QNKd(^&2}8%3PZ^4n{qJ8((VxHS>;E&8~YdZ-h6*^%Cuu~ zK6}C9*y(xf9gbVS<=n|%^;Pu{)|m8TSek$;YZRsBGRK^XBCTmY{4d&O!`*TEQZ8NN z=sEds=dR%!SUm_pqE7pHdBBvX`ol8^m)g{e80tiLT%wOHPQ*{-ymIa z-^+7jI&C?Rg1*}78Wg-9u(|Q|gdzej=U*_8kQ*w&ce+ymSzh}DnSNA4rjjD#sX0$J zEAwt*o`gKBm^^azy$P&OB~Oc}e4ow-G$dT+H%rdh1G>jV0Tp&7D@{9sDFSw`0^|b{ z*uw{myM1?Q%>1PV!ks0cw))`k%lVZHsN*0P!D+mBgzdfO#}>SMhC3|Rik#q3Qy-ua z9pbW#{Y)Ny7B4vDo@v?y)u^1ag8)b5J^ibNjs*yfXPd&uE0HiF`bx_b2kLuYYA##n zl&kcAQl&ks&w41*bB8e7FX4WzI}7AH(U~kGy1?&0V1XnxR~CQel1RjP!O_HLsupDl zYdPF2x$V)S%>`XGRs|j5vYvxA$6hg#t2k9?Th(Mf)m522MAw4l^iy7^u)ja4#KZn{ z{vIwrt#0~mu0LEQos6QTcAfA%Z}3R{v73#ZZ1(Ycx!p8)lR~g4H+SaNfn+zpDpzwj zADZN9+=k0 zs_Ef1B$C?Yk31>|lZL_fvNDi4l@7%m>DKkH25^eR8Dp7bc zIJ?XzLRLhY4_i!lhbh663YMTnoMYfKK!FB%!LKOT$Q!jW<=VH`ex?d%!XYxFfZB|N?1tO zTD|G9U;QK{HMma&NyX;XmuZc44VAPf#1$$IrNuTeg~RKaq@r8d=Zr;UR#su93^t8Ms7u{OS^(x zq6{w2Yd+t(wu9P2(a02`dneZ=Yb4yy>;E@gmYJ7D>Vwy(hU>899u-KnTvYOnb!k2<6PIU`)q&bau7J@5Z3u$&)ab z*v!b+xmaY~CiC+!Lac+Ih{OvaZj(D}6-aNn^vB9M@3O8He4~uT9||`JbL%Qd=(*vV1lO)(E&ri-kmvj~Hv%8> z!&$0D;_>FkOGJl0(L?02^P;ISmMaH4uzz2{8qQ&FMJX0(XCI6ZeSilJ%L;g3K#t658V3|v zCd|;;MD_GI=czJ5Ta=JKrmQ4xo=Au-EGWhWQeVm*#+F0Ip_`N%NAmx>2W>|752O!b zG-6x5%+}W-*G+x9c|X3ZJCt`GV@o`6e`@Ec;^|xjSDAJ8sn^_Y6#BN9ck(uw$2twY z-?mWd9C{adAp0V^eYxk%W1Z|+=`;OZTH7I$*{6j~JeLZcD?wyEdc?G4SJnIRYQ1v> zN;bdMJ-q5U)@oa)S0II*s9mr4Wyvt&{f=o=jS|3RvPzm?HGFO~EjupxSx?`>SL;H3 z=iA}u`eiY0n9RNjD!h^mwt}m=E!zKr|7eD*1Uv&N@VAS;#@@J2X@4<7 z&TeG6k@SPtg(Y#353A|5*iS`9>Wqml{5ihN6lo((G)(ciU%=j(mysVnjNl%vPc%7^^$ ziO)YM{}x)%9aT52@hpsP4{BoGoYrrmuIHXX-QhS0zn|i632E|RkG0-?WCWYbjw;u( z;`^vI!lF(dC`nOU)-3!qns>yeo}?mrW58&RsZdDc73!m_H?J8#<6s#2diwKl;Op72 z1%3M%Yl1{~vG;Y;tz&2rZ`S1od$%tG3ncexobnVT$ENUUuHQA2aj0`zNvm(%P=mC8 z?2z&Ej-k#hpe7Z9g>DpQ89u`*epNCSowKBs=Etl_^Gv@k` zA<)$x7tam)>SzFz`OI^zQ8>XqCnB?U@}h`N_3C==(ZBESXGZ1Y1(w_V)rUL{xd*sC zh~;C2&?4i){Vt+1XSO^0NHfyCD0!DH(ON4`#$J2Trbh}+!f=<$RLE{ zA4b6qv8xP}uIL0AB?;E)lCXm6C$5#nhcyc;K-xK(tb1*Gy~5g2>vNhm#3wU4`g zN|oh0IsX%GjofA1tQ`(yer-OKj>AFBO24sX{|7EIUaaVtR0t^5`7mJ973_?>&38 ztl_)*jI12Q>6P!_n@uaeN@`fxmDuOF&)m=(4<^3q%gB3n&Ugu`c3}Dl+`*eLe(rAz zdC}^7{^?Vw@Ywc9*(v*G_yc*mY?4o}?~uJs7?fn|yH{MnZ+IX&K{Qw zcx9YvN3}xepl0E#y8>tV9Br$Xo|F0RK$D}ajf%~D^Sjrf!;Zqn?FMBg(qJV(z_8-I zC9rB@@S*8GYyq6LmAJ^#JHHl%sGJ>@Dvszc<|ypR}BFq~u+q&#Hf6qbl6j8}%_Q)Hq8z_Pw^ zSq9MToWGZAMeRJMMdP*7`Z8#(}pm5>4y7Gc=O;ZUOAyp6(2 zRAy$Pv!ons_HF5IrdR!NLU|pDkvwPScDT9i7L<;CO%r-pz%O9@YsRU#e(ZH74WX=_ zsXuT#D|8dXBrFpPy$Ay}J*g?vu^|2W3*{Njn)(6buF-DDas&qK9lq@8Us_OlN;KPN z*dV*Fw1)4&$8h!Oi={zWS7c0As^a3goY04=vS&SQ6}S)?;mUa@RZBemV~Es5B|VL7 zNfRFSA-soRGNdGD6q|PibpGPS@DLHHo;elh$t@^CY#W!V?-*)2f-9)mlxxO8&9ow> zoj!Fnm|bK-uXfh>wxvogNPuT5V{T;OQ=tb_I|xZ^Axe8@9PcM}^4&w9MnjuCxMq2p zZ2M3C@TO)eIziNWb(fz_Whf9i8%MqySH0PR861-XaDlR8q}kI3C&-(+xxwH9ico5` z-jJrqU1fcmqVjPkdI$b6Bpxt4Op*- z-8<akAX||K0t#Y0k#s#?d?jkpIahzaFg+q4`<)lWBD5d^y!ECj zGB>Gv^){{Db(_-7F1%(Ohlhf=-Kxh&EeNW|I?I+(!YfPytGe&Dc|yARfx& zPPknOTKR^b>e&G6JYW$K(^b4YoD1oexBB2a$5L%=KQB$iD;n0L{9^FKk_IZ>(Yigt z40c{=+wCpMEl$o+<|YQcA>(|#9|z(v6;xnQvk2j9B|pOukNw@KXBS0?)LSXwxKR(J zyJW`Gv*NwxSwRQIu`RZjWgdKsbMSxp)p;+yOl#aPT?5+*_OQ`yobP^fE)y8}M<~gi zOCze7(?t`UfVJSOd=@KSa{h#M7%@3jc)J*7Mh;cf;d>{)A0S{AZ#Au&SOt%JI&k4~ zc%wVi3Mx$&TUlZPuNiFD_HmkzM3);~XYpdP%z4iU1PO;G7j>=mo7h3FtlQ2)K`+vX zLuiUFo2mDSBs_yfd&%C9pOe3MbxT90qnKJgBJN1d?SliPi0s&9ytRBGcqlB1A2V)3 z0Q&OkZs8|%3-eO=Ujw+vpl84{7}uTF)6(t#D9y>Xx1GD)@-!yXe@N%q9yFKbCFHgb zHZn*!Ffv1eT-tFGhWkB+F+R26eIab|nf2tWy~$Fc>4cET`GqQc5wH+uCy_%2*ochq zkDcfLS3>7O*=QDStocT;b8_r_WRMkPpT6T)%HvJj&`rXPyy_@fHbD$MYNO(bY-( z+Api3`wI)>J>TJdu-Bl)PI-RgV%cqDi36l3HuIV+lIrD33qBEzebJJh%7+0HacsMT zs+7@Pc81bc+0`pTkQ&C|PQ_p`Q(A;Sv{~v`Nl*!la|5>WbzA~p3R}br$yKK!zVK9x?sjtCfJ?!bZq&NcR288ymTaS5Q(~yrQ%~P z_Z#Gj9K~2>XI$gErT!*#N$!Iz8k307FTVa!)&JAlbqiyE9kzJSu^0Y>Hok3T|2op% zjV$);uEbNGprFridH6nsN$cKWi+cI{IsV=vwieVO<3BW2+DxN5OFC-l|sF&;4~&#!o7G* z?&e`vw?5dVDbTPFa9MUEn6H#;>ewT3>L*)>TVmfbka}zgoU-=%Q-La`ROSo)$%RiN zr$9IOZ6IoY9nONk#Uz14oeqm&diLwUymg_@km8zL>TIB3pLE;2g zitYZQX2!YYGJ?kN;dw z=MZ$G0XO~&EzM*-Wd~st*CN0xAZ-F-zwzz&%p09~J4lvhm&&`#UT@189zW`fR-G#v zf@9^}rFWf3OU}}(#9|O(k5Z)cm(&J%(K+X0A?b0@#L99!G*Wlv5(qYzRBcq4G6w9e zPZi-hq}r6`2Gz=u3*qYtW|ZLWtRJ&wt>xBSNFlpC)sts$A;FLN3C8fPMoZ8v9X)s; z!bmw@p&Gv9L-bM|+yCK)$sJ4UvzCr)3`%bNmTVIsm!1e6#;$VpRx2Pr{9s(BaWB@A z!Y2cv#faGDL6G@lK$*oQEutSn&zj>CW6M{;AVz8KywG8f*FGRu(OkGAcfahO(&)B7gG;sxupfx-irzVpzOznT^!>@&&tz^r~ybCpGK>kKR4pNqHf9|v%jqSNlknOFso?^#De;<2yp}HS_@tF+Wzn;9drBOy z|D>5M+;4>Tbw+jiS8ar{kz1zw&Y-8MX?E8TUP8+wn1jpDyAVtZmu?nJaIfRz8$ z%&Mpwl-a@6UDh-{e_em4`l#in%hTSiM4-$nS9}a`naad{7qKOA3a)U?eOO4FnOfMP z!tASBj4GA|ZY2!vO$S zYMM9hxd--eQ%vUQkV^|{^3&5m9X|EXDRKX0d0X_lCo8`T40zG29&$oCbU3jp^p9(x zm2F9*5*=o(_NSpw;c&(^uyu<~2uy8l*^@YiqA>rKfltF)nCB_ zWysz}Wj4xMTH0EUSv~D#kJK~Y;ELMBoFCO#KRPK(Vyg)YIUfJIOv8Tt)PiBPm6&V! zN!tL7hya9XlxMhDC7SgiD!5U9Sf`wJ^iQksv9k~EU>{cQZTy^$b9G!+unzkJ`ZnTJ z>_#8HKHF1YrG^6X64SmdssCuc^-=XklV(rq4HJsw=Me&Cer{_UZwd$=j zY0?dcD)&m5HJ_5?iZMLOPdk|i00u3|;%)EkbMV>bEaLDsWrY?zVp zJK}?FXYpt6^+fnAtdA1C9CPE`ZQ@%S>+Ez*gKf1z6|-&j7^ zJ9JMCeEDCgw{LB@|6&@uB_Hko{0h!f9GI0K^j!6cclP@MQt6iYZiYd9~niM*XP-IFf2fXR`zy~L{G*q zWuX#*Q;Mlj3eaX3sLD*m2MR%s-7xhO{^^rykX*B4lqG`~E4Q0yzqd<4k5+hegy zx6lLjd1vuKXvsN`-HYrhYnJ17v(t{GdM_mAu;NQt$>-%#jjv=!kB&MO|F7R&!1E96 z>JQ#S=Il4=2IrBET=KqgF|kD(UJt1u>0kc%v#O-I-nGC@t~c!cRM?G=^Ven-71~nw z#7@r*%)prmnRk|if3+H`{=ENW_stk7+45Culkj97-t#5I0wd_{afEOwO%0U(O)pI& zpe)Ln+q_!jhe!JzH~if2)4=dHM*3oG>l2@1{@OQ1|5~~n4X;YMAz)zdGTbRI@lCEh z?x%%b=do8K7~B$C%Z>XsU7t$72O{LW{9oe+!@^O5J_uLs>^LBo@9D8S6(}H`1gn)E z|6fadZ_#)cs*lU#| zMEmQ?gTcP^y0O3IPl?6s$IF*zPv&Oa`{EGtq}2PvjqR`T*L@>3NPOi5O+#_nCJ>sl zmi-V>VE8vEelS78RKR!~_(&7Z-7r0Ioqr57;p%Lu(%0iq^{7W_&3CQ3mVP+cmSyC~ zdpONa^8wy80filhq+JA&4!igVKMVNLdBoDc`MCGtGt4?8@equF2Nf`{+K`QCKaGS@adSnn<>NU-&ISTAe%++L+Wq1$mB zt$N4VDl_E8eA8U%1x1*X73keN45_G+d|Dtn#7h;SonYDDy@d&0=^h+BuU%pR>hl^; zz&QrgqdpanO%&Qc7c!eF{g?nyo2l}s9!N2q1J1xB>LXHwyPvMs=O|U(Q||1oC`7dm zJgDf+t57{TJQnWTYySf4+s%Z2>$$0T|Jii~(YhXoTMbgwh+fJaE2=C4o>O4xEcU$C z21e1g|Eo~8yiLHNkd5IBji{!{GJ9 z(W~bTHWf#T=Ni&X*C~-lAC(6S2;nMG;h8S0OJFh6fTa=m zp-2f7iY67v-V^1nQ+hD8tI`=JY`RtrkzCF;&8&b`NytIfIKq=J-*G4!e zzelBFRyJzdi_5dhvnBeQR6Ol}vykl47@|}W)332QJfVw>Ef1W?#7ZYs_NY~&L^T?U z)8*^|bs{G z8t|h(2}AJn#ql>!oHgcP+MmgnUM3&xy(Ls zPKWh{fuvh}9^F7c`2O+*+bIBIF<0eLoB~!v97?T4p{u^(h{bXf077!UbH_2#n`4A0ZA+|9uNr7`0M8Q*j>8l!8e~k@ngxhjUVVO z@MC~ysY>Qe&MicZgT-0xJ9_U_Y~@oPV~YJ^)aT263>esog#66L0L<1nr1bJ{GEUjn zm`tzpcn49*dC8vm?$tW+{-u{%eCq72WS}rC@Mt_HG!$MRbg1FhaG!^wqt$%NWFt(( zR8!{efG_M^3Qap%>H`!DH>E#D^>%yO$sLCF4zx41lGj}v)gQF8mTP=0_XFmmaSy@V zrSK`egoa2=t91R_GZj9%B#!FY6?ijXb>el9Lkiz_qhttQ+=hQ{>XeKuDH)xLQ~-cM z7%@AaP}l)+g9#ZJ8WsN`DAhMxd9-g^%(kb=Mz@fdv)ITu62(1j?)G?4s|M+|3l!?1 zFt zPB`$=_7}TSR;qs9TwcVI5C)_riM|em8X8&C16Fy{1HmH3X>HM6b32cwlts=_XyPZ> z2fXu#!|B?jcquJQTZJ_q7#YLgxJi!|IRzPp_oM-D9rlswCPa34Bx{}Ad{IH*1}4xN z=oiGaC?;geRp5pH`^BG(>$Eu+ht5zjxAjyD6Vp@Tsr&fKS*@-aws?xf`B~4V6KSXf z=Cn<6F(`XRT1B?G{q)3`t7;N|hT0y(o#e4=xr8ha_7m z^hpeA&~U=HuuPvS2|Ct@AU3V261iGXcl0WspgL(y#;rUJI;JlY_bXTT1m4C1!Uqj7 z$x;y{LNLrO#clnV6%6n;quI=%0f9XzENEue}<|I zy#yvGRPmv~-73P!VHK8MJ95&LU{oe$E9~bpC%!%l#Kq7NO?a1>yiz0Iwh$uJZCXWv zs0K`~b&>t(jmc3Jj{k1Y*Q7TiR~O1%XH^`3?h~Ui<9bIrT3ISOv?|AF4%jy$>hAgF7qGLH6D&H9aSL_ewGFa&yt^i|?^RDvkD8m!`tf?E%N91>F12uhfBnR&l`xjg z)AE`X!nFkQL9V6;^m}wH&BF!bWo!;`6_VC{1viy4)5Fk%GZ2+|T(-i%SWT4OYNmO1gO>J4yFc*#rwiFfW;vuC+M~$`v3_*WFM_) zyJJ-@)j32Ru@5n^_I{O<2&%;DHyTFTeR%ab$=xg-+NdQJ@bZ_RT99wLOQ}P#Tf-T3 z<${iGW!Ke7R)?&-@8bKb^M%gMA>JluR_2!oK`uVl@RC{H^dEjDoiKp5b~3*ipMH+% z7(fiWGd1w$H88*uZP4arbA&3Msh2P$=SLYWi0TkQa6&A;bxRNehv#6FwKeDe^=Q5K z>_)Ni3Nmka<8BLkPLgW}W5c{r6^lD6VP6k)4<_sZ#xoA9lNUw?xZafk)6eBqVv{Yw6=xX(}}C0#{<%j zgLIv>+IoulgiEc|r&gW4(lk2P4KON0ZgyYGTc1U#sm453jSKk}g8rTm={B)e#<=-R z$;Km#>ro#~(b%}?cgqukSL#4}Ed^_kMCF6tY93eZ(+ifB2vM#cHNFQq8HATjs=2xy zy4yXd_}xlOgN|rh6Yr=2|r?C28g0C(zUUwtRyFL z@LBi3Ba{`Su`x9)w>mr}v_W(v3IE)YT7N6W$wG80E( zYj5DpCyeDkUwgVD@8D(yssVvkb<4?C!`iq9S&7p>xMjtzuqM^~fT|49XZETo$gL$G z8`$CA`*S_7j~G|X1B*qAQjwdv#DQOj)@Yr6RqhSXui*U>!zP7Hd)#LbgK%S|99u5T($Kji%}}aweE_ zbs(VpX-Dbxp+KU@mRlUc{PX1K-bNoM%t$bbq5}w?*iUTx0tr1K#2+b=YWrPC3=Mf} z?qm#PT5&`Kp5c53U5xu6lUM+{c<{0ub0SA|^kIf$+cth|NabjP%CSwATc5X)jUqou z@IZP**a5~aA?)by^fOoMUl-~rf<(yz+a`P&x)3${WP%u5D_tY^m`*qD7Qm)2{RE|E z6TQ~j@>S7Gu+m;srE`!rwuOGp*6}R<%H)dsCu*}Z_qNc0&Sn@3Qstk%994(zuL`l+Fz0^{$5yVHCaVlfrbv4(uOg8PD>RCrRuc?PXgpzAvr9FEGxY&VLkgx8 zWXI})*2kk=FnRJS%tZMbMN474%Yv(KjCHnP?EJmh5-Ef^cBUm{_9Kyz<2m_V^!vfY zOszP-it{zJvSq)>M3&nCgco^cL9f475lB2I2a0N=2%FW%?(-8r4BG?{iMIfNGrOXV z=lzx&!Bo(bBz|homYpB{tWTk8v_WAtv#=ac@O~Q9QDbQ`Y4p)O)|nYwX{>!OUBN&H zFBBr`GKs^&Fx}Z0TT$22w;r`lQnsqNbgR3A^LG%w9RPXQ! z_t3|P_K+Ll(uds&t$JAzAqsp;vCRs}J6x%tOL7QBm8&wfH0b7_{L}%zl3yvxG)qV+ z*cdmZAoPS$-^h*2aqHS!d)Q?W)^hp@tnsIA81>`Gj;`g;v+3AKrQBh8#*|{51aTRB zh8hO`t}>2~v+zK!w$z<*^f0nxgp1F+;=-w z1G(Cl`uj}7LyTSS`qU;Rw`)3CrIgkNG+Jr=0Zkh4!xiS0wb2((=vF)^R1LYQ;4vin zyWw9XkPbd0rL=K}!o}HYQ##zBs{}aYwBMx-@+w~-l>mJ>!f~7ob8><%JwBFS1LqLs zB(;Su(`7Mqg*;_TY?~q*`!{UJLtQIc3kUBQ9L0V{{^h%UQN#@IF^>MMK8ubk zRj=Od9WV>yilm$ZohC&wqd;~v_WoGzdYqO=I~`H`WBYfVL(&YP4;P_qjlToQIsXw^ z%`erqYR$4f(SrvH49oM?oGsF5X+2oNfD@4|Pi^CfGID1BbcUZbeK(Uxgj`}m0g-1* ziDFtcS6>b}v_x1tHs!emZOvD*ugL~^L)nqA-TZ#AMPH}%J57~cLg5kw{ ziP)OMy+JL$Ie4&@Te4AkjFnmhu)N7BiTOAPEMFO?datAKnqg|GLcC`u-$fVnv%mA& z1XY=rD0Ij><=Qz*21oXA$hY>e@_pZPg^pNX)#ZbV`K^*S2amo~jvEk4Rp1lN<8L(O*LPAGNQ(SH+ zIig`Zw|{ELOUG3=|&KK?`b&%R%trg6`E_CTZ<5ppL7aWM~c8p zy^zI0r|u?TdE>X`e}1zB%g)YUe%yWd?SdoUYDV6?ljRg74(t1`{)Y8*g+uA$aYltw zczL^|Td9fRK2LeSp(d4tbpEB%=2m5(0>J>NNkgXtIABmD^l}}TvL^I9O~(tI_sjB#a|poWGN;ctgWyCyw>sv@ zRF{?zO_nD<>$mC9%`ZmV&HqL*50Ux_4)2B>b%Eh|>mqYgvwa@UCv;lISv zcj&KLE_W|}(tP}{8zb5+38{=^-4^-neYnCkErqxS*e((6-a!(8x{<7%a z3xZNl@X5|_nXlK6zFuWY`dy=?b1O$3B)`5&{k9K!5`%5Ya-!L?;>cNXO9lKqUg$wz zoxEB{AOv*$j-J5U$JcN8P6$=+-BMh;r815l{Ti;kK6q>X;FYCotqST z@08``d#om;Lm?}nWgL^f1W%=IamBF#pig}Ir2>1(UcJF$t(Z6>#e%DME~cUjaF{! zcBcB96fQJ zcR&Bj9WD8#%#pza+lgEwGBwzcbbZD68*iqz6Xw0*6k|dr-%nCu2wmcBO`AtJY_>&p zg@7e-I_czuyYFC>3YZIV5xG!X7^=cx4{uE~J5+B(h+3a_tTIX7eK~P4(fvguX*;i` zd(=kWOxut0-%!H{Po6xXVSG|w(>eR`iPz<`+)Q1WKxo&?tUEosIyzx= zEaiS_OD~jM=qOU8{l97PlO^jr8s~Bm9a?3nap;;)<##)HqT_7d#M2J za^S*6A2X04m;UP{+0))#3NB;CKJTf&kP%S$$$J9*2yl72>Y{UXPKimxf!w7F*m6#e zYC`=6P?g%l$uSVZNV1eJmH1ptX|T5~4{O8&gAuAG*MjQot!%H;#;pCF7H9bNgTKRxN>bx>RabVR zBurGKTHw~t#uue*u6ytb)Ko0Lvb2KNYK3(vm~g0q&Y-fWu4Yv5DT(}`x8n!4CRU4L zHlK(FK+Ec=BoUeFK6j{?Bjju9(PxywG?k4SV7?x2{i&kJ>z%SRi-JAB51N&F5W%$Q z#Cui>B|GppdY?T;N5VO$58M3l(V?O#&+8*Z{(&6EMjAPM`;~Fpm8*HDwed?_z1q*` z9V4sa<8!2kIdxO4dr^fG#+!qk&o!!8hSv_=%eUkUubhrviyTo56^;2By?2C`@qj)P zT1mtj1T`mb` z-Beih_EbU$x3GG{`Cj%RkLXo|Y@U@iZQ*W{j{nBZOaC87_x{gx|NjBpW}A&+oAY@X z=Gf+Zs)o(^oO5)U!g*00+RSzBirSYv!!zGkYo?sFgGV;$ZX-0zMI}9O2>9n;r)Ww%7Z4= zB$e6ez40{hUcv;b*FRN2XDOhQZ6!>$83?^rXe6&Qa=^oPto1oCSErE`pQC&wlsu)X z98z-KBuGlx65-!n^F+8Pb}wD^+EmaQ>U+$^+rhg>M1)RrpIBwM#g2jo6;Jq2@~w0Z zRU*=-Ce33q{di-b6fKM`WIP$9i#webX8IPtLDW307DVhF+m+R^Rl6+u0D69M?K(P1 zEx2MDBJng$`g@L+nCkwa#bu!`4#gtcaF7S|zlHp?;1GaVlbvuJqxcBZKI*OEdIhcG zZaXJtSw2{mqWj|nE=XEwC=EEhsI!JO1vp8x+NJ$!=Llw!=s^Xg1vf_0mDT<-ZJJ66 z?5qv8NVmngxX9-i>3&s>A}dFA{A=A_23+|-n@Zkxw?mcL9xW|6@v1W`L{TQTLsM!5 z-NUx(fKXF)OZxxD114JJp0AiI`PxIB3Y%!dbsN>O2-0Du&rvPi2JTyRzX#o6^ zQ2)QBogwAJ>VF|!t3bT^`tu`D{h70y;A#FKq*_>-)D+cPywsNjvR4Mi=yw==jVmF> zY!SE(qcTR>ECDYZ9QJ-x`fv%I94DE<=LS6e$xhIuMNv8$q=<^~S8-BO$z~oUeaBvd zMyvjH&DnMd!30ffCiqm-?CU~*`wrs^{p6#TMz!2>s!iuF;G#QugbEv`pPHt%W$Y(NUJAa)RO`Hv*9bh;-D&*(S+z_l`B;t?&1x z9129Tn#>wx0iVvq)m%Wtp&?~k+lAA;Wd|4+LNX()1ppm7nwTAC@TP3gL<3eWy9$42 zMkUkJHb?_kdVcjA6l)YO`>caIR>89R{msElUU__{omr@&)%_@Iah)N@+l5FzV{v4WO>`pBm1Bb8`yVXs~ z+Y4{au0v;y!KI&_te3J-?f3Yj;^?x!O!CYoxVNDfQ?>mUa-w7mkj!OUo0>T{ZGef0 ziaA&H@$ejU)j@JUno={@i_p{BP1j-^!_LZC)TkQKBZt;3U;5ej-RZ6NSdNm+VKyrt zeWhY!T=qd%IvznK#86W}1H&YZ!Zx72mIc2Pnv{<1FU_xRSXv1TqZmp`JS`OijRqpr+s$UoDlBS)6>Nx(m>6uj?>%eLF{YDeqf1kc(W4vPw$%MM+$-p_jL zEkC$r;A+8uimQ^`hPH#N_W8#Pmt<7EnvfM5_rCY_ho8v47AGX0QRfs@)b)rHCk^Dp$f%GGOrZd}_r*AsoKqPX;kqt0$1G70=J(1yi(5 z4t%dJts~$Z$NxuDI*Jj@8kFO&CYm;l5KXlD!HwvYP21$2Q{=0l?lGya6bnJ@n1#^E zR=T_QjNb>Ym3Z^znos9u<%0W^{&_o`7SPV($68Zh(}#hOjM-T2#0}M^2^LW*2jBdp z^4=hE_1W1za@ueInt%^d-K5jO+r#%pK*3(tpey%0zNKyn`*P9JFA}slCx7(+&pO1l zQ0cVAE>!2c<=l*%*(QE^PR8)9!bzGo0;oR`D032lUN7OVWPveI_Z2GwqhHIkHpICL z{b2|F*_zZ;lJH$sQFB#r2c0;9w!Yw+_y8AH#DTfQ3;EyUx4$Kb#M&OQfQg`RXB6hF z6(%W6S-AiFIReif!q1ehnl^yaaKjLEFC<@}WQD2F-cl%~MqbrMnIIKqG6I}}2oW)v zLcnhJ!$7>rY(?xX6etUPQPy|h;fvz|Pfmkor-38W)! z8c?;Ih7o`m#w_eB8g5QDW$71%y|-m16eVP+My(rPe+j)OE-t#mw}8=Qy_3IEsyj#k z-65&>B$%twz$~<|-c4rPb8mxn$Z4cK!OdRTRhD;1t9Mm0Wn3KuytIP@_ApFFyELlw zVY^hpP?{uZRQ)!Z-+h|jC4*6kRBqmq=w5{`Spbe$++s9;-70Y59xk*MIExl+!3sW} z=AQ@ZcLT1z$H6Oi_;iQBzl*^utMbcxSI6BIpfvf<1JIptx9t=j8cY6On}BvJu97Rh zIa+aLmv58{JDi}QeTGB6l=9P9TDNailq(9<5bbd)>bTCTH#67zmGlm83REibNd>{& z3#?laHANhQCPlA;B&n7-93F zi@YvCDqQ!Mbrp~4r47{tSfoj{P1K-G0;U}J67*mkFXsfGk&m>ke29`&6U5!vCS+A#w>uv>cA zCImKRPlzLCifb!jS4RocPHbA>T)*p;?_d1ln%uh~BBf|nzYen?NN20TPUs8N@(4Ph zfrryriDRKc?ZG;iQ|y<}JcCreT7p2H;;jHxzQ;U*?r1?*0>3%0;v2Qn{ckB7FC~D% z#1TZx3a(lN4TB0-ctJdir@Fd6jahpf8D-ifi+kqsc%A?39tC0j*9t;nWnkp-lBLx)B?A-3tqi4&*(5ufFc z3k1GbIn~mR%p5Nz0EFe^+0X6^OtuOf@CvUZlwZYy7iKzau_-uBm}fzV+on_XG{~JG zFv*24XK>s^JFm5!h`}|Lu9X-oOPwB65KQA)ajpFNvKwj>w6dS8>Iy69_alYm)%JQ^ z1VF>u(1oT7D0J0ihy-RQsG-BYIYeXuaB62$e0>f7OR+N6^+rIVCts7mjgRu$Z*@0z z`25j4HW)pf;Nbrhb^k?`-YA!GvWWTam4L|S_vgUEJPkaZB~XSdUAWx!kdm5UNn4$=+sZrP)5N1 zvyxVdmnln9ywNI@&pKP%j>K6YE7GrhJ_0&qg$G9w4+QiLw4e@Gz%Cf3iGV!8-lUtvhiwT)>9h4}!0uTdgFRQXp6Fy}%a5Rm5z9LB zVZe7g86WbSOJALNWNJQY5fsXmpJxhyz_@J_`_g#ip@aRY6{PgJSe*tm5Ylm7Y&Icw zhga$6WfkRHKjQ=~iG(w+JkWCrtY&#to|D(uGCcsrdw~|{^V)t0P!J>3#~M~l<-5Ox zvmKIHsgPSj!k(y}zuL|;quWFm*rdNiYHJ{AwV)varsf{J<`n8Whkt;^ze0dp1%W() zzUWI7R_%pwV`HxYW8Qx6QZGzrEl7p5Vt5R0-s> zD^4-PNL}t$LUc40A@$xb$$lU!Ol4Z#Z%f5xXsf(nTh2*Vq6LBy?t0b12GKyRVRs$y zdHq=>5Ibon% zS5(5gr%neIrR7g1r#+%(%H_|JZHC0Hu~yVInvk(X?Lg^%6oe{{g8pgsO969Kkj(-w ztWvUA+8!@?Wo39kuARpJ zlIP^DD3Wb#7T?*J?LdReANlfb%IvNQHBftMQ!+lqxax2$*?McBprxeD6z)|1DD>zVLW4x~7U;$U?!TA@Pdk;>3R=AaurPg^uJr4Kv z9-2>C!Qij%9}9&kbq$o4x2W>I%Z}~M0a&`F z!-*a-qm&c!Z;x*+y*rd1s?f#gOk|as?jqGq0l8G~P7o}54sp&%^!1E0AOSv|>gI~+ zocsZsm>wS9^{eTCJ;DQpkw$vt7Zt0}Y#M(a4)4&*w~*3{Pw8D!6d2?Pw2VsbEvnyZ zP2B~YOt}7rpcl{gR;Y)c!~5v!b~s_}gYN#Cprw8v4KLFQcLQEZ zPW4FtyBFfpWu;dV;%FqW&3Z{0o(SC#+E|TM2f>(V8~&T^RHk9$NllV zL);ByZ12U(yIi&PoYt@vxLPaxW-8QSR>%r|T2)Jao~8ArHH5zxlq|!?Thy#R@4Pgv zJ+OoD%}O3p65t;ePfBrckd9j*ix~CGHC@h+b=AG{hiF>MzG45e2U%)y|0GGYZ=daV zph#Sks&bf`dudM=w7Zpo7yI#2b}{ezxfv;A6(QrqF<*jZU5WsXD{-FOrK7Ko-aZTO zuMKa8#`afy&ExmtLSwk1ULt%$e!8u@5TPJXzEkn*quQSo0R|%f`-#+*_;uSiojS*2hY<$VIHeikxI?B}_Ou@#R5-Ilx81@$ft_7y*)Y?D_o zlv-hZl%CQT+O-#2qmy5Lcx~o6pl=!UuJO7FxjiJ}709K+AjZ!T+YI8%t5lghF`Od7 zkZlU~Umd@wuT%w#u_){inLp=#uhBJBd%a@}`5>%np)>ejgQog6_v4uk2Fn-nJS(dbmpS;?AnsOVhlUaF=y7$wteZ%96(wm*F&*cwv z4+k+1e;sUPU_?~iBWB{XJB^gOTVmI$kGAnkEc{2FcV*#qJo;`&6lh0^z)G$u!7fct zPGNGV7{}Wm!n(VHn?=L%;@%?U(3AQP)vcDUXDVD+bMl}*pE+CLw5`uOy*dyi1i* zHuVjYLYZub2;`k`Ppf6GD2C;4qRSYP5^Ce`LDK*3fKX&gq@#iDCCM z>{PBt>DoD(f7%&CnDtB(qeOim6*_GZA$0LKc&pK{rOXYkha9 z*5_v5!$QE6oCg#rCZR;+h!~h@^D-WpyjcfzlI;hDb2s67$>*B)Pjf*5q9XQVm)bbnlBKphc1I2vAzM`@m>9^BKeF9MHA? z;e3t5N%p^b7LR_r25+2TKREsMt-{Kx!?ARYnY1vFD|=Xk*fq@>$UBTH%O4c1Z)ulB zT{GVu6gl;&eJIa(DJWYUtYWQfq_11Eox?QofSpJ05@mdyT}cDTW)IZ3a(&^f9jEBB znVnz>zL$7R6SG&Nt-2s%DR;a_iCGP|go;JW(my>lHF!HD=bY#3S=8WNNo%QXST|KU zqwvcJx;+M9%=*r<2lK0nSs@HQd5iZ>N%AQnpx_SXeMOJeUrjI0r241;<3Q6}-6@{H zY)|={(*5P$?mZAlTwXs|w`ZLrfA{m5x=388pjG%=atE5v!(*g`^7HpnfRVwsH@fKs zpByEvb=ZOh8~6UTKleYy#hl;wzm;?|2{Eon0NvQq5U-vWd&pRWspzM=uqY!?`IL%f zSzbjblEE#!G^cm7C=nLGqPBvOt^3#idmp6pXE9rq z+7FgFYbo-0cLWGF}mio99vH_BlWy#ncCPEkPxNi?{s+f0@dnec5Sd69 zXs6}|wX8{dFg`l>CBxM)$%5u4M3>LBCA0Fj%wS`Ffy^b|oBWFnB^wZl5$dRLSc-ZT z&Pqr%iKqvvt_zM*lE15zA)XXmV8pT#S6+3yJ&8XQv1SD$FY4Oto*&i-$Q+dRqoqV1 zWvN>J%3>2tUfJ23Rl<1=`iX5TPpXUfVbmbS?$s#;>CB15Th;LTvTNe$q410I4FA-{ zr&oX0C`?C1Id|{#Mg`{M-lA{0agm&uCXos!%%^|Y-9R7du{?;irL1l&u>!P;i-e*D zDhY(}jRGnAG@SlPN{X`=PpLiQ)Qyv_7MJX|gvv*3P;%7% zr|kR8sn-yBe`Cmd%nV&@EJe*>pCO9@2ty|5<@3f9P^FaY$jbJ*P-=!D&9}KYWLk3S z6k}&>uV}e56}Xe+Q^~jl59Usy;!20xpNG=pmkV`NKUF2U&OMUh(x9RHWsL zsv}A8<8Rwt23i05uarHJ>7doW919T{Nr}Pu11sm%iTF_-A@i_PvcAuoj>g6~EYeD<2$jO-w1S1Y-m^mKcIb@;st+@h3?CsVZ%(I$6Fk4}UXe z2^%8lDluYnPHI8vL(N5Jr}}%ALlngpCy#RWnF6l^T1WFY|2{enNUq$2d?}SrH(@)v zByqe%ZK?RqepEZ|p6Bg+AqjbLe~+Y8^XrL#i`(sYgfCg^>w}ywc-E9%=%-bE*K+zh z6kI;uA>5X!d5s)&abSiyVs`97y2(9sMGbmbmMy7&vnTNSl{T0${$`1TQmkxoPMo0_ zk!jE}811qA^YoX)f)FQneA_c>F-pV9MZgDJZuChcP2|afQ^dlJ&=kj$Pqu3@V@Mcr zL9$6#hc8b>=tT@JlWE_XKWkqbTQBv?;tIu0nV?(O^3cj!y3OsmY6wRA(M*eHdH$

7${j|+bcd7g{x2Jd;5 z9p2)q2F2k8^F>w_Eoi{TX0`pA&FD=Yvpbd~Sq_o;7tn@@zC-x92T zaz2W^yEuHP>4=E-7Y%(}bdl<(WiJ1eCcd9a z)V?iMe%4Xqe?3NlNx!9H>vlr_Eg&8k!*!`~YB#XCsk*Kfz~HeU)B?-6C`DYQ3-38< zec5~%+IEaXAjp%j|u(A6zxY6S-OAXYdW?O#m&0fPulOt63nY*j;*0| z)b$=lNVlL0?Fb?|-FH)6;VWFQBqwkA8-cN}`SuW~c5WGO+ z4cmc*y@%bP@x~;9^k+1kTkCYY)1SIROlUwq8bqCz?%NG1-amGp1!krIz=}L~vDv30 z4>QvDL_a1;+WDlo1VSRFEljXE@f3-~OyPno;pjH=7#_wLRpB{BEy+(Xm?F3$nMGx1 z+q?3Ga_hg8X3rp`?6ABstAgp%kXKBQ#&j=|1N`Mz8tengXc$T@%}Z|=OwA{L;2ax% zFIfKs9mi2aa%$t1GUgGS$p*NcYdVh`AK<1`=(Oat@xudx;&cN&_k+>wTvezPksz9L zLL?*1l_&d>MwdEYH@PB)M>>RRy+7C%I+?~CWNH6q{V_v|C6_CIdkjft!6fs?Q`p#3 zX(&9~*>$wI8D+H84oTo@4Av;zJK3|xytb2%vO_keuuqV$N8HOZwyS+La|lTv&!vUH zyH^=CI}B(h(ka@7G=&9l*!w(k0|?6k z`fwns9Eh=PngYfk7ERLh0sB(YSGKj=Ik}mWxz&*Xi9iT85aK`uI8Xp$v>WkM^9yn2 ze-4IAk!NrNZ^HS)~%v}rcMs}6QLN*r*Kj>Dx(sUzx{DxMkYOIK4N(6C@ zl{tA);7b49gWq;8ZCYi>&-)@~1qHu7&%! z-`w;a0-*7cX~^-la$DD&Rf=eA5-7f#UQ81u*fv%ntZEo^FI#Z)6I0)v^r@`Wz*Jtp zKwx+vP!*TvmBh8YlPNJ&U2qF7AjkeS|!X6*B3x(eDa3Ots~DN!u>$`$@t zaU=Xv@qY_>B6^AguGg&Sc%%GodETcpAn7@x)2~yb34JH?XwvY)UWqnj{z4CIwb~jh zb6K`MF~P$uaa7~9rkztoNwYO_993Dv5;&N9>7T9}!IwmnEXDF)b-TYjcl@!|*tRV$ zhG6<_PNP8Jh3DAu4@_od4(R-9WpFp7mjjX$wK}ttX|zf|?+R4fY&OF8MY{4uu;|zw zaH*)aZ(xx(K7+BJTY2+#fQkISqI_$u>Evm!!~$5tSQs^X|F@gO2})nSiQun=&I`A5 z7Nvw|sS@$!#eRC+4!BoH8ER67Odaw{y{nHqGf%3 z1%sW`5?1>3TSvMK4SL{Ly1tiZJXR%3Q?t zr3dwfaXi#x8VJ}=rK2-ER$cmA(l$;xMbaR<|&4KZoQ-ZF`6JVG(0VBUuXP-EtD zMJ_C@&_fd^;9gsudL|UgSE-SD|Gk^Bl&Mh8=`kEYp*Q>ID(U$kX>eNogQxiHtI0}K zj>0M(ZELgc|JZm!w|moH%S$asEttI5zdaA_ zW(nY>#kn=@+bk`=#|@T{8qZP5ts14p{7ykaSDLhi+fmM_6E~fH@JXSh8~e9B_d`qF z88Zl(nu8IN>t*YtR1&W;Jh2ECg zKitft>cUfA-wD5W(?~J}9eCPA!})%SaP@y)X%=0&bT6^DLoEF zsvZ&wHJ{^=JuSDmT`EZNq<2Cv-F5w^ZMS=VeVa=iF)2F5?gGPtjJ=p`5F1!2>^j<( z4d&nPD)!Mcz9dhkFFPW%C`*J zBTJ!*jFtR0k@uhLJrDr%GI946EP&$~Ckb&XZ7rWklMQg#mn!+4q7Z|tPi;Nz-Xz%T z55BOII_oAOE~enI3hWo4m(m0a!D0rBE(cIP!goc@+vdTRFK$}-0+`JI@_#vKkFU~w4n+?ogg>%kDlb$O}tEg6EfPW?d<4dU9(75dX<0gq0`^D*5K9A zg*M0#o$oE+zLP7c@5hrJe^}D0p!s6KV}l+(S3P5ZSn|a*W8?8zU%;a~udna4kOuq3 z_T?||!0jj!9Uq7RFD-K!C01q<__7{!D`Gmkl%h{WLhWKZ6=-J9 zmcZMYB;#qDzjKPk$D+&wJE)twj3dZh()j1H#0@$wgFuft~2bxm*KQ+vfMj~Gp zfG>zo!-rwC!+X+4_(pZv18gKlqF9|o8$$p(RWo|(X5*2?iEYE0Vt_aAv2P+f48E+Leab!@PeTJEdoE7kO~m`kd7Gm*z%kqGG1lIfl-n$2|jrwjZkg zEFt~O)UiJ`Fn#1X|8i0G*U>!?k4;NDga4T?hFNxKDBuTPN`f)hUg>?XaWM{0f}WsL z9@wh~I}on%%zSv;4yxT4Qz->UFzFFkuq%bGLQ7Rxh%})b^;v<#I3STgEyy0j&gb?! zU$HRVkR$Jw5tF`AY$=%pR{!4|v%bvE+G@+~M*fAWy`J>=UqZM08s|>!oz#I2L+=>l zA>Q93Wd<5cj7nln_;S^AO#sk1-@MqFIzjn9C(MuvBYa9u#pHoTvYr=P#Kgn5<@R>> zwvV{S%AKD0cew@k6?*+9%faE^4grIAq?AWz*j=6~@BtAuhk4a#|CTk~kujOsNWcBs zIHSoSnTC^Bv5{{7-#S(3^mljSqo&=-Lkzp-TTznTW2FN-u2F> zTcbZbAc@u5O%>{EE>DV>xm-frKeha&O>OL&f`CY!v96iQC%DzN`FMPwks1PdslI9E z!Q+Ki?cj$kbL}sq%w9j#G`bVu*n|5p|GIHm7rY?)>GOu^e(^&4pQejOjR7pJm&CEN z7ku0h(ev#g{lha$_*BcxGvC6d<}h=t!ki>g&`MM8=zo&&^^LPx0fnnOF87~+X>lNI zhRQVYsE6Irc5qUsygS%Z_J%EQnm{>@o@HEYz?+F{pjJ_nte_|#=X82(mKSb0Ql%g;Me$uBmGTVvOX1z{MQP0Yz*lS(Bh~~ZSgn^VL)c@eA$+z+ zlpy>iWfrA!p=Fh>ayYIvJ+c zloC?xcldfjE0i<-7P`(Hk4SaK=#AjKy2NbrVPGw*(O33p8> zf0n`j)D0O&B&e0GkAJ?30;OLb3VIEwYNT~(goZo?TY9VrpYzPGtF2DXuE@glwG}V# zSo=grpdp9V{6Uq0zRKU{p~u$%E0`w3EPWFj<5k6^3|kbn?t`%hSIH9S?yb z<#vSymA4|Cm46OMEKJuKervCap6Dk8ZQeqz1Pg+tF7~Hn&Y65(03pYY#(D{sAZlO(?#zI}YAk(=rH4~Or3aw+c8Q8V)I5 zZq~`h{h4H}m0ZydQce7(etagcL^q;FZGs}ze0>aeR+Mi-ayN^N+dQYYj$A^xvd#8( zW4twr%&tz;kHx0h#3b?NhFOZR?;y-IJ0T`ai9DG#cWZ--ExzJvQzw((DUTYDs2Xh| zVsP}lGwvgr(<#M$x0Eoi0GSya(J^D!fs=oHEo8f^Gs)=C^A&Ix3&S>8`hwmK0-NNl zlb+?So`$@2DNR>{?J+feRx8|r)KoRw*ILFwJ^%B>yzo`}owFprRYx9TQ)&9ccY*@kBxk;UUhhU*(NfiLB5-QJ=AJCd!= zliC+-@`hA448=RnNI5J#MRwU43MGJgv_^*B9`!D!CNch-@HQ{W`b;>dTuEs^bJso7 zw`H|qESuMFh3CNsrszGD9Tk_0>#u(QN0d(c<%heJRH#n8{)cK@(QqV!?Gubbxl4ASn?MK(rE>nv!iw*sMF3n$i zwTgNfW}eCv0WA!JM<7<6-X$42RHIF*03)|R>whm)F1^Zr$z=_be;ruJC`&Hlj~+{0 z61I-}Q`9$F+S;5-!+=dY#_fbK!S~gI=QapjTml(}CGbiM_yJk$tmgsm)fZH$6ICwN zNat?lVwHaw29hIr8a3-kqs|=D8@H-ajd;{Lbx4U8IBIq^aQh{Jr}@wM0Vml(nGF{A zpVO@-W~o2hg7@5#&#uemwRm8f+L6ouBh-v;naIWv45LYh(wmP1J~8^!0L!M4HFsE~ z;gqd(Tv;KjsJ!8q zsD4?*4>!E^y$dy~pLi_xL)`HBb0n-UH9SKmViooY0b_Lw}dZ?Qmy zk4EYj_O}iHloV(WOu>bWy4p@%I`TTXytG4$f#4zDuOR>lQLu!*)!73Dr=kKaN#2NG z%v?_iSsbq(0dS2pgAhc@F8D6!J4YvH*p_mImysI2gGFV$FZ)wbT9B|xH$61nvd+yc zsccgV7?4RLE-@+s9KRh0THwljs3ckFq81KDF`1Xiky;AiwO$=iLNE**b55u6imovE zadx8g+SiSlE287D&e!MtC#`)P-Jn8pxoPD*{2GEp@g3Rb*0nQ>i(1fprQ*EuT{q_w z|KP;_IiUior|{)tGMgBwo){{4|hAc&__4MmaY`dNEtjyKk)u3R~VUaBh6R1 zb!_F)8tK=X%%j{lkF>1@ zf-b)cYvql=hRipxO_;n#axa|7W5VSsedlVdGI%Jd%44wa<7H+CMfPL<8+L2nTx6LY zA$eblgG|F$^2*I%3UW|+wDH$PDOqCU3av^mev|fTpj$=GcL)u5(OU+R{OBEJjCN?w zg0Bje_nYim>F4~F!`J0+O#Zp@fxP=-NrQ@3=89I^()qPQWdlj^q&Z(}@W-4tTr>%!TXaEjUma(_%;~dVTGaE%(4jfx1PgxNd0{Z zw$zlr>Kgx0Bu(T-pd8OT{Zk6Qn(&@fT`nMQ;AjhO!PIzeYp7q?15j<8=a!yjG$v+p zNX#=V9V8dB@0s)buZ(G_^JNy$Jp7%e4389s5|C&blsd#U{U`A$UABc*0$*GhhEitS zWKG6LlCImzjk8%+(+f;~*R&F?Tis{U6tKLsv#UK@A;tdUn&(GtvEx&rH?2R_u9pdY zT3XEI<~RL@o^UV!#A;0ACw%MYb>*(huXx|qrWat-1W$~4(`twEU>@kxDrMtMIV6=K zUYwV(KQ~kdKEGJWUl(AIw4)pmvnPC@W|C)E3bB=2uB$+cLmqEL$6(|a zQa>^MNQ5?o4#p<9^dAKh&_UG};EpUVuh=Hpc7VTIS=4q=#Ew_Aldfk{q)U9~h5*#} zG|5X@4dbQ;$LX*z2>H9q|19V-wNRyQfLW#5^QrpYuI4OHI2f%dak)mdo6Ap4)9q&1 zEG>G$L+wPVB&{-em~f#Z*j81dB@oJ>IT6awgQx!{TAz!=|%4c~S|Bt8ctO&=YYj zn@^Q}GC&SEJkuKV?71cQc7VPl=ga9cTG47+pCbv9r+N6&jUe|M(z2(uxVVD>}8<3zJ&2 zi_yPqU;VaAt^`@{+Znu`(!Fx`Oejh58=q1IMx)DB;wngZi(&7leYDRfYd|9Rl)14C zR%E4vf4nGV52^QTD;;W1Ils5DeOkw@zVc!70F-8UxC)$~xyi9JxaKo==#{T?!&zf2 z1;*X{xlD>`pzjk$zV3?Lom@Jn0y+_E|1O&EV=;*A05n~gC~K)QXx3O-Wp@rtbyguH zTxm)R1ujD}&+_8KlO{=m80xba zCL^8z)NK{mM_7f6rZa0j>Xbz0f59A!7?=iLJzHLVTYx@uz}gBqiN{BM_^7YQZ+)Px zp*=7ZEm)z^&nucP@vpa~Dh7ifNSzkia3_4ej179tZrSoGF6WWevN-;w2(kFNxr1P6 z_rkz`cH|(_<0j+vL5%k*Q}sKx@#ubc$P;~deaH?zq4YusOiihKKdoVr=o?dBA(g3G zKk(oLSv_|+>pz$Y0>D}3v1W)O&7B2ELTXc)KbE%5dnB%igYBhH>E9Jpw&hVaAJ#eP z!m=Odr_%Eu9sBiR7}jFbH63%(VzNb0#F7i^l>&X`<{r+v`E2m}Qcc=lC-0nj{o=0DoVELvxwS_yo#T7LH>`>+LW-1Y8>nPQ9udi zjCgHEwi8!Z>pQH&s_gLyjP{ZO9rDZ#epWb^U93TQ?fHEinvM?UA4(@nN(Ag1A=RR zzh?&xsV;^ZPQe`HWf*mm&|r8(3iIM{uIsRUE8`=&=%^9pZB(~Wcc#N8NCL|JGBnD* zTz+j?u>H&2?&96ZB2cH6$x4j}<|F;@KJY4O%yY_`&95<1q%Rmu5tI*9Llfu{we8 zzOr~d5I=Ql>{Q6km{y?h4v!{}^1qY?SY-ju-{Mb0&!rrAOzy#0_UN0w?aF5}nB&KJ z?#rJ&33CM4-C%NWkk7en2=yeSJN_@dXSxEcrc5u|sXdgT7W|F*RAKcROz|=`tmGa@ zHsQ<(&5=I;?0}Vw`Q9AXkLrR-7ajmQJRJT^?r2>Dm8|r_u&FAxsn`S44PG;wV}Pk> z=a!){;ZmXkAODs$(Bb4I+Fa=SyMgl@7obmG<<4qGHCrB8;OY8{ulqzo8=w;~^`6=YUd?;$2OZuAIHJru#=GJ0AAHi!%Iw5K z9yeJ=X|xa!-y^^Vqh>e_LQc|m>?{|3jXuV&qyz19T3U@LXvlqn_wc$SD5Lsexx!oF ze|`Dit!HgT@*NK=9U=yXT0M^49oFBPDuu>uxN7?)PO^!y?H%K1U*=F|s#z?{@&tNm zllJu-Ej^%tw~q2=&c=4FXJk+4nYQ%XS)JRSj^z9L0_|tT`py?Hqx-uyUyIlKtRVHi zeHqHU(8R=(Ko?N8VO2}8Zy`ER2@gFaPj4M5`$5T?oVWF2yR8&tPa(8Manecmh;m(!DB+(9&_ONKAiCyEJ z+i}DcfwW*%f86Qy>O@(G^;2K%>&LI-omV>izgg@3_opo8D&_1=yZ=>+_xdq|4J5+s z!X+fInO27dMt*1QfFA7)wlZDk+qJWUy^^COi~Zw1NXO+UW{4nj@LSTLJ3XIj^Ih#j zPfWPa49F-^_O^~Y8^e$#0vFaTl@vOYu}T^8>|1ExkVR0Hib@tmDbs6at5n^shir9W zf|{vP;9jP}Y$^UwTM)WZ#yFjYRk@?bL1zu}tIK7vBqBBV63%6PNPG zyFT%!!^}j&?S~~j>VliqlCB1wl03ge9&LDCIHo@rR=lJ%*+@_kD7bwGrRRtr)q2w8 zKOmj>!nxJWQe4Mtty=DJ7t5gt*6KEV%yVTtTQUe*0TKv8TR6kco4Yw?YOan~TkkKI z9VJcL?y>c0UK}(@`f2(8E&aJ#@(9Wpl;CvTzVO#t?qb+FNJ6sDf`oM`|*8Hql-wcZd;X~uyl8+Fiv1ti9HbR5@hUNK%_@5vyqP$mp^pB_1K%c8xX4R zW?g3g+?OnF;=cgS3-CHM^6a>iEx1H|abTK#-PIxuDtp)DLv4vq*r<{l!`(R3mTsYfJR!D)P#_vfiVaC%o3Jb=WmzT#&Sw~{B$_0(Jfu@FH zz)#SvLLZT*w(Ia}Mbn!dbJG6Q@d6j8gUjGO>a=16NknoP_o_rA8wQ9uVWfH(VGTB} zBgfhj;(F{eG$slL&%~(B-8$+nDZ}5JXex+n(FkvTZAK>l+dQe1_`LOMOzm}BuW_Yp zBy~6p7`XZS$1y!7QXCb8Fah+~mE%9%wp&^pD*qRgefQh`GCKrp!r_3kVjSM4mAQl&4u|tP@7MKyUXSO*qVP@y z^}KAO>?E?v)QAVM|6O3#v^6a6sjIS1AC%j#0*(EP&fYqQSJZNs6#3A|{&yf-_4!ck z`IJtk<9hwk!~V~;eF37T1L9$=F+!8)`8s4iFh0*b3xM%61bLH)WX~75;X5NWILAXv zla;?Jo7fGq!ZKc~HqYoxw0CgMo|?3#klQR)HC-L#kQhq1#81CNRE=>68Xt-$Zk0;N zlBG!;a8+f<#fRYQiUfDG)eCj8M3ZoQqWM^g``l;35R(gS1fcM=*`vGBdOha(`6Y+WY_Ro|;( zfag=7XX8Vzlyb05uDS<_vwX$5!!|xZBrhj6@JWaClL=>1N-!}S@&Mc29$*cS{w2#+ z5AWsTKG34HP?k;Z9K33h>%6XqlJ!_A2W$!T=zMH0eih_aK)sQOufmsq<791)$Q2hf zKyIq!hV-i_s4uW!JLn=#&*Nx$&$fs|rccln>NY`y`qWi=m@g*MA7KPQvpwhV^{^&6378 zHiho@0*dVEWc|QD9xx1V_qWulN_?og?@QKT>vPo!h7OExRM9+P@vdMA?-a81dm7ln zBBLs`TUa+{=gS45csR<2)q$k4&9f3E#2uhA?TlfyD$CcH?qINvKTx4OV|Ygoa_bqu zCc=tjSPY_3|5{e-rSRa6Bk|eI+bfb6b~8ih^&PFd!*z|(qh+h_-G;d}#@NmhP-f9M zgkrbe@XMiDE}%7ZIrb{WTgAX^D5^2j-bw&@#HOZl>RFz4KA`a%`f>SxHVFfz8U8Mns!tjwNZhN*Y!`jhbazIOMgWv%544s)( zpEn;%FOq}X4@?(+?qEo7pwk6N46>y9Zrr-wIuQPWI|4t@kNXdYO+Gx!77JWqE)HZU zJRP?xvn4X@u}Ppc(l~W?nv`r2`YOhDUm8A$M)r)$p?kB^);d_f??px?`3uqfwob|l z&)UAm<`PM*1(@GBmVO&gM{`@RYP0}#Yqxl4FB4v;coqLfDJsv%26Z@Q=qOG2v_tUz zlAOg{p6(f_bNALgNwVOj!Ic?gF(mHgxe6=PsqPo!ut&-NrGdN=Sr?zxAogw#TAMwu zn>zRI9aK+N>|BQRxK-sUB2eg**-nH4wlGoHuIDO2d5-0(eCf(~z)e;1NB{a}n3IgFxjEn07Hxa?zQK3D{lhItJ99h4ldat^ zk-4Zb`1FxPgV(#AqUd*{&rW-ce(?Ar6{;ar-Gd7p{}C;l7A?4(n7)Ow_;vDeF#K>0 zLS+gbo@=}RXem`%^npoXj))f|B&9si#-6@Z@yYqnQ^q6R8I>W`@FRwaRkpXtA=?4` z^6TW&XU|7BDL-q7Z``PfR|t%RUP?V25p{gmF>w$KPt_&u^9WZ+pH5(f_Kq0Y5Mj14 zv{jpq(cea*x0=RmOoVd#Z+M7{#4B8jN)@zXrsCmDm;Nc*RL1fm(FKGr!9_Sg;-Z%c z8@^ObQ=B@<68l=hOg&VZ6Ybdh`6b=*pZHMH*k=VIuXM&$c1S2GKGF?dWNoDOu3rdY zWgpX%^LZ#s%qRqX9{9MxMu8URnIkxxW95a2R###uR!w*{G1F&&cb%uVlf-VYOGB6G86U2xNtt5^?~_H7cf&eGeu3Qi4y4t+xJ zB*+LfR-|-LK4CIdmMHuLHW(n&R6q_d#4WN4QA`#5T6~T0-Y-Z&GXg9FqRPATQ0YQL z^sn%h*qjvu=j`CIY$h$@cNF#`+tEbD4S{oW6g2&A zV2ej!8Cw!FgNj&QOejzlII6l%vWo`_^|}C^uD8~U$17xrH8~4EZUUVfQ7KrZ&3r@x zrXJ!$Tn3yK)CJfshC=FAzNU~;&L|hZqQYP)JqMP)18+>mw~U=227Z+0ZjTV(6Kn)Y zfq1*7NvKdp%xBGBO;7>ktyJMPkFRQ;OX-(*hji8D73)ChXy2CL7kDdtQU*|5SUsj=a1 zVi+xWB`y>v5?aZB<4IyYaFPoeFyvBYtXN1BOVtEI4}6Hul}zyWs92&oq~b{f5Sbd5 zf`DI_uFmHJ!svMyf(G7vZojrXdI3O$V`m7C@hiV=Rvt)(t^N~new+~Bw7R+`S;Wit zJ)uhEK{C~eN9*_Z)%a3cd*V3HV zwsVps6pOc6*}eNRQ1>7j$3sftB=2&y(js&kt|Ky4wKCRvcIZ06Y)wfIOkkM;fG2eH zW|%VK#P zRza+4&+nbKrI9_UcC>EQ+C!@?8kULg3U*vudyMhch1lWWCE}BfA_!ViV~O_^(Sb|xRtwj@m*7BEn|YGbddvV1No$AHQhXQhXnPkMTI zSru~W$=)Nx{OKmun-u$q7q+O$t}rv!eqkicap=)aq`WPjcuc3bEi$Gc1bBZFXnD%2 zp~32qbkh!U9x^1n5DStfaBD_S-o90MZp8fhB7Nu6dMV3lr{LCQ5=6x>-c~>$ws!7X zckK=z0#7G-M(c$Zp_MvzSJ$k*eVIgs;wD{winnl&MIA2yS_;R)YeIM^Z%x&cR`v;+ zL*Z!$q-wlVWEmHC(q-gxEV11x5FGC$_k+eSLr!g)GrV0rto!)at)RUpi?xDFk+u&i zW0UzUdIlk6t>p8|4)EV8LxKE=UR!v-lU%ALYEs;OJOhH)c<`6&+s!jwY=nu9{X_}& ze(?v##v_;aX=rszi}6p+e$EHAUC{<_(RlsrpaIrmn2fiG+jF-S04s}#4YkRT%`qSz z6H>GSDjK|#TfdlSVu$jKbYnsUDJsU_X#|`P(Q)VjqK)7JVYcMJ0EMm<){4U#xg79VbJ$eLlx@BCQglYWI#@f zX9H2eeirw4WXEL67-So2_Wu19jk>;|tr}0{a z&Viu0cQhm}-9I0V84-4g%DU(kHgp*oq4PPLI{9XmAMSyBG-gll;{U67mGqA@U9oz7i~`cYil|D{#4Z6y$q#bxZGsRaSf3M zPY6BAoBprW0Rv|n$!A?rvha3I?nUedW^6JZn726+=YT|g*MEr)x6X8zJnG+ z_f^_jXPi^8X}B*RqgsM-7B&_!XEP?m@)+=8Djf!R!q2)9@t~k-rhC z$0xQprB-U?cT$b5r};rY1)wQF`m+tKoHUU0BXn%k81KXB(|($Q+vp9s36D|l#!%;t zdRaS$7=5J{$mZ{i|35c;at&R>HJFM3Fa8v$KL(e3qd%&$wT9?z8Kl)~uj|9`H_N}+ z0VXr4SaH!)|31e0a_h8941I$~1Dy>6`Hb5EdQZYKbj97=#QzsYgP%80>{+XOJ7ByW zW+X&or&0!x@CeXIgcOUw8QWu03Z332+dc81^Hu=Hnsm<@GnKK_9)js&cyZriw;CFM3R8dc52KbZN20}OZEzx#dD!u74ijIGS2LR9$J9=Ofi&@jDIB~kHEhK#1KT+$EGZk)S&nMXwy zByy;U79ZVrAnTxw*jW0&v#LW{DgwcwK|@QFyXFxQvK?mBb)44!p#=Z?fv@Ij|3k7^ zPH;5N=6=K=2laM+iTpqV?0a|X>b>OLCNyH-H~|qO-!P159b!^xmuu0139Jw4zEoqPn~92 zJ3QZC!cW(fm%R>FaGJ`~Bd8Wi>6;wBDUlK-cv5UkT8`Pao4HhJd|2QeD3ofedbxD@ zsQIPXC5l7)nUC{p*FCS9mq$)Kx%MF&N)Gg_=6o}LV(8k_6&|1({6y1U6d9Y`w!5UM z)A~2ulAVWE3uB0&bs@Ullz@f^wvpOY?LAtnPcg-weTo>cFFuyj6fs7`rDlKQCs8_ln_Op;=jE<$=9>-9 zV#h~Un2xztDlX`~25q5iV&L~Rcq%F7VxDnrdfB9W^-R~0Hr@NDwaNR2Q0Mk%-^MWX z-f?Ns8)WPaXoaEe6`Jn zNO;UvG@;0(;h<+=O!2_ji`dR;eV}<+?d%QR&#YlDlY0*gm+9rRx1EN|y#@AS>0skJ z(t?k%;*s}N?(8(*hR~-z??dk7Sq6nCI%Bq)G@LB9=AISxI(mNt*rHv&9iQ2-pl}(I zQ-d>%%j!$CeCg0qF_N^LN63Pq&aF|5A~SkUX{2Bmp4mdJcR_H*d#3a-51K*>v4K5T zi%mZE6ae?&c950)mfC&TjI#S(#;5Jr+mG5)Rd_IYma4nv?^OZbL3y|nreW>fHKUO4 zg}BGMwOpW^`L}wbA?YrzmRPKbTNm>37ux;Xl-iMyTxT*(K~(j|eqgwAwmTH9pk?DY zanuwM;xBupY0e|NS}Z18n1+(jT zFvK(A(2j>rQigb=N3@vQemh4Opv%Yfu{nP*Pp?V^wqIZ^Hx*sC0?_ARelz778CDA4 z1QH>&1NfSkAQ`?&f!=AW!<(qFc>KJ$4GwR!HyOByL*^QbubsIyy9nb0P@Z(CWKgNF z%YcAz)0KufySe{uzEdJ2Fu>CKbmRgTIMhdcPA@j=(1{p`Ij$HppG8;h+Cu= zE_C!ypv--xba6;muEC}BGHpk>-o^2E#}K9&n&+QjTrBL*4ewYdmg{TCxLawbZ(Gx~ zjTApAe2{o=@`&m=C_1=x<7`hymZ4`PB0)h|Y2&mclAXvVkUDdJWq>diHfDdmi5~X0 zaMuqV&a;#GKx4dC7vTOT6s7`^)HXqq{57 z33-NBk%C{irc>&WR)!C?_>455CK&1tlh#*?=rQ&mRjgPlm7?t-%ayrS&?C`TDa(X> zq&m;F;nGMnYa5b-7`M)WXc2=Z>(kN&Sn?8EES4Q)GR{j~Tq;%Pb{3tV0bc1Vb4V)B zc!g2FirOt$ag3m-t^?k9#`hTlSx~AfWSBW_v>zxP}k15a>4kEU;53 z4j2zxRfVHylw(~vpg8ZA8X6?5vIRSKlJNq)G7^#Y&dD_?5_vIqqTK8`GFG}rzrdSf zC02lttV&t;7P(Y#a8pGH`6=1vzi1H3y%r>OK}&M)jV3QYunmv7(UTnzNsdRIiD#3( zJ?&w;#H#sUMPaZ|{Fxzf_XV%q`XBa9Y!~aWs~#^?%Z*?aZ>=0M-C24eIhp1l|v-I2_88vH+OQma z_*`u*bt!`Na6-DIv#c&T#a`?g2SDhNal5YcwpsP96_nrE<>G%Y$N!ESD(((a^7Iqy zLsbLClXB{g$)OgKP+Q zpqwd>@N6=?>mvsRr+4!2AMJPg}PqHP#Z-CeE}BZDm~u;obd@XBF=v zToQ@MOvzb7>pHT2A^Ah#8~z!;Lhly&p0o1s+>e4b%m#V7`1Nf)d3CDwPX!HW+fQBr zYovD;1^7o;ycG&4d7iE4QXYO~?-q`$N1W4~v}nvMUCK4gCX|(p^Q3#N|J8n7U+@V5 zn*1J?6N(kK%r;@^ed`myc7ao*>JPkHI&KAQrzT$8)_LI$Y;|Y6V5HFeJjMJin~-5Q zSD+D4Y;2kI(v_H{l45RxnDaqxiWFciP!Gf*L>h? zaI8}>x?&c1W<_yo@2l{>rnhgQ9p=M}5&FgZ&>CIb5+`29RU7G0)&)Sz^?^icQhhe$ z%#OfRCE+&@$3)5BH zpCpdag{wM)B~r;t_2l9e#Okcp|5TtA9q=n#&`(t8!mg674e-(|DUV+y><3iC9LS?s zN=upPVC1zUoW5`m>8)WP$zJfcVUxPaHGEOiO5GT5Y}dn6kdX5@69j2vLdqdfJWgxge5M(_qi`UA~k;zTE+!k;!BjSD$a+ASFK3&;b4mcVntTao*j{? zM^F+)Ov6Jp5O<_q)gu4_mE@@T^P%NS;&&>JbWy=gbK)nsYIW&ng8cDn46&12P_iYo zCRECu>+A`T;36bEa9~d>tq{}rcejAmLq}IH!j*+I=eL3!x1rr8;vb&Kp!o3N0co!l z?Y&bTe^;}~Td+w!ya{1LWr;mwz@K`f?uP}@IVktp{N7~kLYXR8gB1FJ{1AZA-lek+vJabb!PnU)^XBeV8KdI0QY35Y=2c^O*v?AtKoWs2xJs zAHRkKQS|Syj_5@ymsY9urJiY_2yr;Di;E!l4zcPX@qSLt%pO>50Rf)nqweAZ4jF`x&6{%IBmo>8$%K z?7>y@5DMm%E>`>V4#Kq<#W%EKLc8JjTv&YM+u+zQp8ZP)!urh&D+WxLsvK*m` z@Z7vtCqOWE^yIfJ!CM(}ce=qt%>5tq=A*eQzXKEiHA(X&y8jr9E0%?yyX77J%iB#A zupO&+)S84mWAjH>U+1TamvPxqX zg&_9O2aleGW`YS>7(?Z_EcaWT(M@TG1<@|aD#?3qp+O8l#K0lkaPoGhSYQXxGkBjc zHcy;IZ+utmw1VaWMJoV}sol``R;T+L+I7)#orYm&2ka8Oqgn>4T5#eor8Oxks7hJQ zhOMBINzfvtt)Hq|-YBLOjQ&$z7}**$#Sc2OOLPy0?hik4`jx*8rL(K<^gVN(?63%A zh)Jo{wuiP5ks3N2k?(iJKJl;L_-MY?A|8t*iLMn<=n@`d%&H7AAOki=ml&+qs018y z>HtOzK(zu$8mB#l*CDDL#H0N)_&==e)@8I5s00Tu;Q)RDkp%ZESALlh5?vmpcuX{V z-Tb%tVTtbNWW{wpJc91(SQ_)*11q{`d-!RG(w9VV2}Qa8rTArvKIoJ3?NO%?y9Yg; z`;DW@mSwnUifBMK?&QS^6v~hGwZk%3g>cD!i3=MUfLqQQmT_T)9pVXW|Cn7oY?gg= zw^Otrn$QZ+-oi(IiQ z$?z;Uejai6+}Ysgx`gcSO&KT z18*>4*@GuUBP7;oaD1>hevf~!qZGCRNcitM>XSRPnFGG$ZZr8&=`$}Bq9O}cpZMGa zQ5_B4DedDCLN9kv|CAg>z0HoM_V8(F`qYTU9QxTH=5r=Ix&PdhFeJ;qQT-P7$xiHI z@BL11W$6&#-3*?5IPVz7x1mh`Xt%z}Fx-0KzG@9yO)g4u-XKihNWL}A_uj+HI58<4 ze46`kSBwz!-2QX}j36*NolQu%1rgaRbqthEYVxLn^#{4yZ>lvDO9Lu`yIuA!?s+JF`j zk$z7SJ-^orTJ{mSr)qjCOM;>L;MjB1uOarjx7yD#&uAwB1Kgo~0I&;H?24_{aBuv_ z`w1?%d@exZN(b<1$F*7CguRG6YL>9>+1u6M=62iunc0Ees5Nfg5&qP0G$|f|K#Wkx2%M&RP}uB4;de^Z>H|u=m>rhEU~-rV)B<>;UB=|0sU8E&#SX}|M7SNF{ppIz71A*(+T%QYhVrc zaAU8(Ubk9vT>=wn`uT>)u0d2DpFPPw+YS6J+Z45C38eRqU ziClHR3L0bNPf^9@x1f|c*rmnWTQ^XPTX~tnqLl>bUuh{~XW`UV)6uxIEJxMpY3U2o z4To{)zXl7;Lb29aC7DMH9Ye>}rqBG(5yrPI_{8=4;3dtnZ2S){d>=UO@bu>YIx(jS z<4G%`XER_5YoWLwv7dRQ%{g+^G(xypLZmsAsZj@wU>7IGc|G=mtVRW(LmBf1u*|zygb3cS3p_;7qRi zzRK^&E~nMIyqN8;NV(nlcA4!fyZpBgdMmu*h&w!CbRFwC{XZ$ggbEd_ylB?v4kXI2 zm`&UKomHON%(e${b)Z^XD4l`jGl{`;E~;w@^hQebHQ)BHu5md8FRN?1l?Z;FZ==88 z;}R5woQHqr*7na1^L?a-Csnr!f9BQKxKN>w_!3Y4_Wi<`t9j&cUc}s7ifO(qb3|d` zV5@lgNfTcl_*}5KykVv{TdcN28f&N3H#^3)DwtR>vn)9uaK`m9x>9X7nZI`n^97_g z+@bigM0agH=h7CWc51wEnM9-}3e(638Be7Tz++u3oNg(9;Rp&7i7+Cg+$D+V!Bi$_ayjt~qm`|9MvsN%0Gsi9%mML4UME!fDRJ={|@T33slZl$T=>P&Q-@kG@!i^Ayl6DoTR6OwSNA=8j~ z^A=0zfe;ZeOe4mHOLKB*g-R?;xjU70$<-*}o6oB+JgHC1H=(a~GX-*iWu)$goKg|+ z4D9Hn!Jl2;r$?0A&C7rMdCt!z)5c6rzqR=+X%S#K-!1_C`$*p9{||~~%H5_ayOV^X zeDnR9&W2GPUenbojQ6vXSg;FcbWn`8T*N&(ZIesqv zd=RP}M3E+UEHcSE1@|%(lIWIel5st=S-^zu=Qg$W_&wQ-u1UeSk+RgK)3^q6B$EX= zy;}>ZKdju_ge&+F9a&@r-eFad{l~%8mA$_vwJtixw$#?|o2?afk>d=Hdb?;6Atn4On6INXo?io>v>*uOAab2>(*GMHqT!3!ypdsx-E>hPvsm=Z`{ejbPUNOTyL z4;r^r6-#gy2P)~%KkQa~39Q=Bpne=q(~(KqOAWcGw&Fh@WujT4QzUxB;?WRP*&t)k z+w)%I4WI50x+vvWQjsi_n>gN9GLyDY;?t%vSRy;h^C(eFSe&z0oQ9Upn94sF(D=0t zMDbICS$RhSSYeixj1T`Mcl!h-%Oc5S1tjCzrS64EU$kkTM&2}fRwlY%;p{qv-U)(c z*9b}B=bzn%@QRIk)!kBGST+#LDVBDr6_kt*s#T$ep&Bk~Dvii^()L7+Px$sK>-wGX zYYj=qLM=%*a%y6K1(;7vYPNb8eo%F|9~+yWb`UDSh5-WN621F>hFny={NI-f_f()DT5R8@o%CqSPV|J&yLJW}-3fF-)U3B|88 z5>M04LB39}fw+eh;@mgw@n;qwrA=K@)ihfo4K3r?0qYvHwinvVe3BnIDFJ=@^fbM~Dxcc&=QhI#I_I!339k!P%)e*(IbWgNI) z%h4eM|C}yN=g#iep=Qcfq-SDGR<7dG^If@D*DY6924*NCYC$w#$fvL?l9wY5r~F0# zNr#AHOM!AaIi4rKUF^WLQQ=(~K&3_`IEs=Xw`c;_sHD_Ndo#1iltIH2oIF3`hA0VJ zjWi8!tmsr1tKGs5u>zrDS+n5EDp^c5HD8_eM5civaiDT5*VjE19QIpY&1EaEQH4Q% zO0g?myhYmk4rq4q=GGkb0TsJ&qg_hEJVL-4v_!zu_=7by#jlMXPj0ZX-GOh3S8SdW zY_kh42g#|u%BYM3Fr5TYwC2VKJp5X2MS>^)(hH%-lLqtXk>4~cJ%Q<5?q?Oj3$it7 z`?1xZu2a)gmS$~rX=N=-_5M(u{;OsU8-otDE(E~T7n$qORPViHQsLms*0|0xKI2r9 zYudi!;(edg2q{wOFO5KgU^_#kKsDJjKQRXA`oEv!|`Ur6;VTIpo`d-Kmt?FVzy3da9bh_w!|buBRP>T7RJon8c( zrSjl127|ILIacr!;)N1{0@Gh!B4)(7=b8%9{;Le3?f7y(c^8+W_?I=>?kV*HNo1Fp zyr57OQBws8Jt1!|;&QmTP&~xvWW`d*Yjx-Z>-)QdwQW{vhx4!9R+#Z$PgcmTZ!CP+ zi=tH|M{qt85i@f}MAp!z70ur4l`CFE203nbVjo``iStokk-q8OYsGDQS zpv4c#)tY2cjKKZm;80SP92SnoLA= z&Qo($x7=lFAd-kEOZnVakyuiCajIEB?kR&u;K^B_4zokYFN~+l;n)kWd_NZI77D6$ zw=0b{Qpgr6klpR|S1|B!m*F--`)1|o=NEvE<3d@JiDNE_FqpsluoU5f>-0vwcw=k` z_9URVvu#@xJ}BH_^&TkGHDCwwc@)*RTU{Ci07nl1rDhm*Qn4Yh7o48|#eScbb-ro9s4Ia@4mAesRf2fpgs_>E)06aP82K#tb zH;&kEGhQaWzyCWw@3wu;!TI{1%z`}ll9Edntbug9R@3_BbEeI=+Xwd`S4IqPzWMtj zMYfu3NAXm%>9-d8=d6@}&`{|&qtSaKMn8H+L?wG~T4C!nrS%-^Tf7glNsrysjDoId zCQTBT4>(-^9HDog{5uvD6kTk5f>AG7tx@Ak5`H0@kD<2;LCuBMn~{{tVq}ZSct<$E`j#sO9-a($lHBdiAyy&T!Y21 zh2@ZW|5bo31ZeADW+g`qz#1e2N=>V;nVuGn$5~8H%JU|*^}hDHejFC|$e-OQoexyN zQ*NBi8ypyt^VGWC8o+&iX2iZ$)xqZW%OuFc%WK(mVIbGAkPj)wk!aDNn@tBR_!U9h zm+8rBp`YsZ+17+69ic6dYYd3LP4a2J^Uk`Wlv}aosJ4^$pxHlb<0Ugfee9DLAe5N* zZ)`Ts1hW%t92A`)Bd2*rzS=KX#DBI~K8}5Vz4K2^sqm+wIFl?|I$+G-BoTU1WU@ot zT4}dS#DP9gyQ>#f=+FM5(x8~$EnPk*4VB!6+t>)>COi)~CKBZdoXjL;! zxLCUc6bWEo+5u~DgwfGL8hH*Y1NHkL*vTapU`H|CREXW0BPOgoy#m0M z+GLS|qR1`~rVMlv0CH)nmMj%kGVeE8VxQxIW3X(6uhgg9$ip5+N(t8>|z^=8L7nJK}jQ#o)nKXV6*mQ6Gd zSOV$nO5Hg!r|57;rwys)U7|mA>wq_2Z=_E_qv8IMOEv-r6K`-br)Q&O*sc|HiqVa+ z>i>X4{NtEU4$0q>=~g>yCL1?EBYGhN(phFn@^(_Csq~S%vZXjAbl|Mb!PB=LIz|?% zZ+N|h7)XqUS>-MTkQ@Rk-dRoOd<7-%bD@9=;~h|Zx>0<`sL%5|M}ObkiuDF}+^L4R zxCmVlZ=HtD>TKeTfU%;Vk0|Jt>=)LwsPu_21A$R=pj=;}F=yaP-nj3Qc7W>D93zGb*jtp(iO3HritReMLmll^%tqG5zGygPn z{;ADcMOjzp=$A3n!;K5H&D@ThNJ+`(S9#;PNWp5)w%sWQ{R4pttK*oPQJ z!ceEJv-ga1tm5cM{S~G?Bf}*JWEj)-t;$2IcJ4q!-+)|i;W7))S(4h;|F(`K$IIUp z$|WPR(>UxUR;ifOIIS;#eame0h@7Dqd55Y@NLI**kWI%T4+= z^81N9CoUOP4@kwEAE>2^Z=UIaau=b|GRG1wCdJv^rRT?`XJ)Oav=5`wqJ<(6t?CRB zCx&~v7qxd57sC;D~L-N+7+lj*a56v}pgeJwBlD6ZunV9(zC zE-tK2o8JVg2$S%n(d33TgE(t73w9~;!%Lg1##X3|aU-eNU%>~OUu@~Y!6t>LQFvRE%(h8i(`&ve~@EZ!a zXkMXqwR=;-vG1Kv5H z+NIoP>Y=S)q(Dty-;0eRAeP9Q~wYFT4+oZ(+_=TjH!a#;3&`qWnvETN*c@JcPK zOxG^%KHC3d5PPu(Tw&hSqQ!>Sz8V{q?44Dq%~Z~wq$L}oYa%>OB}k@9AgX!Qr#SoS zF8Z|+rL${)g)6-Eb=>Od>K94ET^=_zZx+&ycOwlz50pA ze~^Jn)BfEKl4HP`u;3wfgAeR)@DhfZ9T-U@+zxaG3NTi){m+gJ-WE-@}Oy}aiGrY#*>kSpGF*ZTCG z2;IV}5BQQeSx5OrjPRwZ6c)1B*+$uV{Tv zdXtz)LkDZ+`w?S$mm`D4H+$tujw;3eEqt?8wD)0G=mPn%@Epo++yGhCuYDBE{e&3U z8EQcy(?k}K^!L3}o3GBlw=Gp2=!cB&-e@3~2W#HGoRC$Q6L`Gr#S3Kgw%&E}78K=< zQ$@Vd9snoBbDMS>eT3A~n2Sxg12q8UV%IO?!xYu5ywyRGv_a@kSMd-^{`OYZ-PqEF zNIA5+%5etRi@}sm&vfi40_Ha#ZDQ5^6!J*SN!*Ufep^nOITT*SO79WDC~)fSu=!pn zla4NoNmW+v$9w7UH~cN>rFy|^9H}a+?WwOP)hcqmxbFD@rXx6Mc0MEGxZLl|pTEX| zoh^KXN+b=w(9|144X+3Xw)J5@sXyMk)GZ>^6frJTQIG-(j%>@E(K`B9UtXhOxW@83 zSbM_s_+jDsX3QoD z5A64~O+6gSU!isk8v5Ai!=Xd*)^?%g($Bi5Q!`vhsb89Mjub}P|2!nLZ7PDpQ$90< z|HKSl{3%vf3XH_HT-&)TD*Y5gW7GV_fzbt`0x3e)#iFddAlyK40YY@e^dq(EH4UX2 zux9Kp#F!{XoGDtT`&A3LdpC-J@Ni&j81SV(P`3=v*~XSSs1~+)REB&?d1-pN_0rGu zCw()z$2h>_bf6kNF|QMAl3rOiTx5(_(zl!q>&Rk|FH0e_OkON0kl)BZFFE#_<}Unh zJm$Eq|M4p}U#Bn2xuruc`?8-UMb0(8>+AWdceWU#ojFEOc%@C&HI3WcL}(e5j8?ui z4v*S;mCzEH^t8`vhme|GHVXc4Z zD^^0U8*!H5;9RK~J|tN$;Y9%}Ig%J+76+4GX;w6M+ZRlo@}y8gr(Md7!XBNFG?(-` z2t{Z4U^Di}O9iV#-f%Dfj$qwWfmt`uckaY>YAn?|E)jT_mB6Nz9}91zM=G0RAK&r1 z=^7)gaI6vVvXcB*&KNEp@VPRrMaTGax9woqXgN9aX4`6sAvy5%Z^o_t+Nu4ZtL)bw znX(2No;J7V8zQQ5y_*52o!B1vy52*i>gp7$pHQF5X_oJrPqMkrXCiN`s7}zTEQ!9e zg}%-fJ2rKQ+}UsjW1USFv~j*V)EKB;t2MnEsp;4q(_!OqizPJ*KTC-rbi#3kXOfyy)t@`vJVCv#Ld)37z#>#9+a z!qvTLQdhLF8}S8%knbz#=*~5|uPfO=_E@)1r3Sxhp`YHS4w}X*?L{tG3o7 zEgP0_|Lp{1(*h-F@f5LAgbAnxOoZjjM*5p(Y4{d}7RO*Nrj#Vi<@i;azOVJGO>BG~ zR?w_xd1uB&Z%FsqMq@#2@9(Y2xH0-XQ&q)kfu&GWMTwFf`sHh zf{!#tB!%2^R*Q^h<`a=IsO!+5zBY4`aKr9S5?xy*TR~@|OOURh&L?CYfJV?; zqQp?t)s7(GM3R-x<8IM8Yvg_AjLp(!tH-lv16n}Srh@Q7!+_t-5;Ey`zj-2#O&V}6 z1||JGbFp}QsMmC8`B03$ol1rG^-HNQG`z1C)l{e*hJ;&(#4d86D5_Av1i`-L>$TaZ^qnlU^v&9 z}&{$ese(4xz)L1H;(Kb+`?w zRCklxXx?76JgL3H6uNu4>SMt?&nX(^L0?Zc zxgkZ|b%V`H@O%zSEh&Aa~CJL2zDr5$p~LMLe|# zPb$Akv;8=7uL$tyg0kf(egI>1M;c0E2Ohn6LZDuqKHpW}^^a)uX3^>SCRjt&_Vp{9|rxFdVjV z4=Vf2;CtQQGkw(>Cyzrd2Y&WyJIFU9WjUsi6inQD`gw=WBu{&osbc2$H;u?lMN#yH zs&{su;~)J)IbY~S8Wib&@E^8W)GP6T8olKXAD!o^0U0!wZ`S4eP3$t*T9TSHG!`62x)0rq)Xwzz(0+qf}E6a=ms*j*uX3 z4@h$~2eNI|<3-LcT|_;ap2Ljl2XSM@-bQ*-Q1jn*y9{xe=13|s$ENuIac-5%#3S?rn{d5S*V{9U8p z+<2fLC^#~l6WV2n?pfF!@KC<#)c2&b?|1J1IL!HHk8hcW&WtK1pEj+}s3d6-rqwkE zz+yd?w@CzBnR$2pWL%wnyJ=VFSlOr@|8e~9JC$cL*7!TG-Xa~cF=~R=GNr^TLMi^g zo}|`AP16R?fDCnI@t{zPI@pey`kLKi*9P?+7jDUK3OdbvR!)_RZy^0V+`p9Iy@8U= zzXS-NM86)J{S+~q_2QlPNTfyJyDHs@cMm6YcZz<6d~_AoP7$KQ4U8Bp_1kM8qj}wh z@ZoP9O-JOQHdN|D0y+NLFQdNBq>-NUM7A@G^LUVVYk5ik-ujREoM+7!Gp4O>5d1~c zpP;)g(sNw1#xCL*pE+Y~B+biBV{h@p?djm~frcZa>et%9Xh+tZ){aZTYBmVWRE*#} zOz`zCanHc?m2D3=9Uku=2E0G&83E+}Teh$J#Pb`-bJ28o?|@rIymasezcXv_R4T~k z7hplFB1dK;Z$LMRwPAw{jon=1oLGJ+mMN zwv;JaiF9v`OJ}+5fB?l1XtCX_pZaM@gj$UCv7hXs)X0JsfnDpG%)MStKBft@mrVth zV(+n<2AHOpNMV8iBq${q41)h-Do85*XPEaV>J^X6^>!9;3f!KI?o=yOKG`efexJA~ zrWhe;GzvIckn8H4*N1e&=()=>)V>rLY<+sJv&rCm33RE-y#&gfXsIZtsb+@cR$cx{ z+YDMqbT5!RE*4K~6Byd3e1n$-ZDB(xCN*aC=XN3w($?7y-Q0Oh* z5s5Q=+K6Bspwp}Z|MQb&?F6y+W%5DK2=m2c35Z3>C(i;Dv|Bl5CUZqB<>pC!XiZhG zszU00evJwhkA?XqB_s@N?xAO50DL09UU&30siLOiQPW3X7y0BSJnfpQA=cdQYItsc zGL!94`n$$|J zl2Z#WI#o#L&DtCwA+378{@^3Ge8Y=z%VJ$FeTyW9&o6l&yC%>N34b4LE? zt_#>2*f{u0)qMeWqiWYL((sX!&vlyCmU>zZqvIQsmxQ!*xtBw}iEp+AV~`*o)<01_ zCb_RJSx6-9w}FE$1y6~%p3$9iwodh96!*NlQo&s*-CfZf25}{iT`LA$<3X9dqjXaC zyRt$3@jNXj2(Ih3gWsS(6JqfTtc7^IwO4qoSk0*#uT?M6Xd~YtH6)=Itu1$|3!i2$@e!;cdCq?YY&?|a#_-ir`1}DEYT6e zh)C&KnBGFMA~qxFuL6^|P?dRoP|Fu@F{Qxr;a<&S4M{4|3B3TD?-hiO`5*_69rt2_ z9{leIfs;dL4@28O%|)!ebnYqn(NgN}2jykQqABSCmjPyF~9T2uVelP^=<@SgY?? zmP!__X>M<6(Z94-Gn~LqbZ%?M43J|Cx*&wc%iY7vo*oqv5Q7Qctj2x_z7A{VEd-ap z)9Bi-y<-{mmboMW~V%C9S3z>HNz0K9qyX;+n(IG?D38E97)b0ke?uyDlX7qAVv^J>s$|g$4&lo zj{J|Ga@g@#zW-Pa(ir4jLjve83K z%V3L}7)ZW1$m*$I@iU=>1#;-OIJRyMXU))|jmTb!l_W2*m~DL#Y#a|V{^4oq{Vr&p5z()JBJ6Yh&e_QuI zed&1_>~;Cve9kbl<~_oF67wHlz4fVEkbDdB!5?~%fhqD-as9jTXM3wloD>9~zn^iw z%Z-q!^n+vi58Tv$8(Nq(3r=oX{EdMo4I%lT!XLJ9R$(bWsrJ?PUQTjdccC= zw(-|Xg2e96N3tPrmPxwzzf7qO+6{*rcjCJJM<(_=J+~Z?vc?rGcX#+r#tVxzJ+ls( zG1_+1HrX1FbRwQ<@clH>N)Tfw)%Xei$5~)|G2gr{54V%|?+{4%D>*T%{NL4g!qi7< z(ekE_GFp?HWiWBw(e`l-B%}AVt<@rHp7CFt~;gW#!Of^VK9K|j6EQEEcXnWHty z_CIna>jiboFH*TX((_Tar_=k#hb}jOt~$kRiSzsGUkb&c0sIIN1XACzl<(B4d*SwE zsbZoO?QSj5i_-P*y?FKTjhJ1@iR%A7@(ne(D5nK8Dvk{Kb}%Y$=BGKdq(u8k>`pv~ zcG%GRuXQdG+JC`Jd!BcbJ-ZXSqgGmec`rn?!v3*3H_$-6Q`#NJ$?ki+_MG1NMSTOr zlH7TB#)53FxPL*2JtRbi$woT(4*h%=sDQ3z>v&Y*GQZI4v_uP=J1&nxg{|Iv$ExzL zO;8F442IY|!S|Dq=nFDigt|=~AN;QneD<9K#W>=NjCnAyRIsRiBIsmzHTsv z5&{;jq@V|*bi%$o`%3!{r0BGpYIR2{9zQ0#P5DhLx*ijJJ{LQ9yN-dQd{!?zP0+~b ze=IktjaEiljsMfTMazu#YD|c+-;4Qug{S76j^l+izXLwh3{ zcx}0pnp+J#Ba|toSA0HQywbfbHyUBoQ`Mi>T}uJy63Vh&(1RQJkKDfQ))nQWTrKYR z^KcZ8^@8!bmA)yArP(i`*JYLyzQR3DyZV9gKVmEO!rhl-g=Ob;yd|5%va2pB_m;V# z9|}!RRJ#PTaT3RT2d0yk^np0RBA%>e#e8HpxOJDTIr*~RWlu9q-noA}bP)H`@&?@; ztc=rFX%_=CFTFV(d*t9XmXEvjz~@zx;jxGrM{*a zeH(9(_fW$$PTTzZwoMM~!a)jauH^@OH;l8py%oKDcd+zBz{*mgS$y-yGvALr_Kj*w zy0_;`aZ*~OS8n>c7j&Fh)<~VF8rd;eI(5V9|GSB79kKdxS||A3g@nNkw4LNSu)W=& z%>a{DCylw(@3jeSo7`wS@>vlYTK>)=V=u&vCpFeur6C|@au8c8KzcJw`XQDM{hRYG zPST}k*N(=5@tP~(O}I?x@x>9|qXbDF`X_264H|w>zPW6rNoz{*GgrGRkZ@J@aFnb6 zu-qpftMH!A+#&YSx^QUg$c`)@Kl1~$R_jde@VkH4oR05@XE^4n-8y|@!#s2#JL6(6 zSZSTCr}sM3ow$)QZT6mo@_j`fReec+5fjl$-`~vKoO7PDQha>JZ$bYvgl!5mxR~x_ z8~scpE}Gad z>h59=_w}zK`AOBgWuv_DHIoe^vpxnbW1icDE^Og1Dd_oh3V&71B;JdtXUHl2yk(>k^ly$Gu4SIAv=SSsI>wQ)~7KCGb{!k=}fHr&?JR!euq2y4`wD zr$yN0Xny&6iS=OMcN?pj{==$!J$sHkxHE7l`{VuTF$Y zbFvs~*j_62sK`6TKOkCf?P3gLBiOlw19kkIf`o>w?4me-1*-ApxN@VFiDTDdiFSly zLB2usi&-x>+_9in(qHC*w3@A-$EQbfhI5<-!WT*^j1u0GeCiUwh1sMpu?^;9BG@?# zi-@R#P^(n0B5s5@1{OO@8f|nfxh1Wu>h+E#4eu+Li-JkE1$Jkv<`OQQt&pvlo#EjN zC$?|RK2S;N&q}QH+fwdPgLh4cBepHx#11Yb#a!oV;=ljq-ACGOk zKH!-(kB>?VWOT_1Zf~o%AU1RBf`NBW>ed=hjm>E!3ESWIJaWVzcp0$0#NFYkk?mV` z?)bq=2AP~)DZw-Iphq`n(;9bgIf5*^@3gSqiaot8iXo~y(&@9281s|`*A%^AtysaH z*iGg4Oi#~+hD;sxFYuZ8>P`yzZ{ypJA9K-y-*jjf5B;7tK6XvB;*a)KkxyK3EV%n# z5?v~^MIJ(Z?2~{E{hbojYZKQP3u^H->tnIrBIXfMNVn3Ra6|#}@HpU`z#<-+y>Jv2 zp73f88W5^t8&EO=Ju8j&C%m+^_O%}EzQHGMW}QrgCArbYG#`wcKp5AD)_zBwQ%z@?!D z`a(->%S#vL-Kfy(A3>L#Qk+WDs@{-KXMnlS5^$Nc-sb!pzSgc`53;7Z(IuD9>1H;% zA5>3g{unWHZLZT8;h2l6n*BfyPyZMjxwtK=EH?H**_nuoZ<+~U1Yx?aI51sU)N|{N z<{>9foM<&4my-{jBnhkrRv`yCYgbcua^S@EB((FXcXCD`7|B+ZY>}(nttk`aSE0GV zRkTx)xLkq~jI{a1S^c? zs-#GEH$`h-+G6b-+a2c(v3c6+N%Gh9Om=O7W)_b*-7WVzq?5Jr)3(kn7spC?q47;8 zKXS2hil^~6dxQLhm5?>a9bJ40hhD%{)0Ho|uOGb+@TLfXm#qOOCZnJ_q!#iNw;Fxm z?`DI(;#j9wf9Uv`*#GPFId0}%X$Bf@*vB?M<*O0~)K#cEd(V+p*s|+Js{otpfecp+ z5r1D2?e`wkKR)naUyWKVo}5kQm&vXC<&M!7Z?t(iyDCz^MkcOr*EbGfChat2R@flv zBUuUw?f!RvWi2I{N>s%ZzgKkaz3&>AQbiShO6yi1pW0N{=zTr@*I(Nw>vr%p z*t_i!ZK62k2LUEheEG)*h6?8;90|uBj-m(to8G(iaVlv{)W*pxXS=Fr5gcDUjtr?X zCMJbnMmxK9V|qBT$rkr_ss_(C|CZ2rAly`{x7hxU9%iULwhkGV>Ap6|*0jlj;6s^0 zujD!W!xj1Uh{_x%{$t(8JWs6%rGxj(Qaw*~#)>U1NE%RiCGYYqFKk6pAKs`rHvi^J zZ%c8wgsJrWOs{$*hM2>Jz+Fvr6-VNBAT82N|i2eWO? zqrPhqX{B*g4sD~ZXV0gw3R-!Zoz9nnz;-|E-iQZyleR*u4s*$=GnO1~g50*}eAM|U zwMotFMM2G_LU@Jm7PW^r4u9|{wpI@WjYSmyO*%|-N)REgUm4#3Wn6BT^w|G%_CnEk1g_0ceC?qsgPmsb#@zZLmQ+N(^xRt>c$LGFKhC$nrd zbFIcb*4wpKgGmJm>54BC82c~~CGJ_cR?3rRLK_3sXp!MM5*T*iEmVID?0W26No#NU z$>(*c!G@3jz=hl1FNb<)U1Y19Nu-6d=XD?Iw23Y(`Vg89HrC!*?z`1M(2neUS<<<( zc3*pZPHi^d9oG@Nd;LiX%U0%?FGps?yPwxmP;%@{AD9+Jx_4)!75gM6RJ|y$VP_|r z?DUr*j(E%15&T^~^O+^#{&4NlKKQ4G{}4e};Eozjvpj!wV(@06mHfu()J>1ttvjX} zX)ogboNF1$jO;l(X%&69suT9Rms!)8@BSnD(aVo@jRXA##&7g9Kv_YYJz{Y6whdhD z$*q{ZJglr#!Co$cQGy2<_{RMcQFV(;G; z;?|yX4Hs&}iuFj$oV9m=9MR?cn>=eH+(s?K7eIPNDHRRc}Cx zV%-@4+DW~54MM!^cC56BL-Cv&muQxOfLuI)5WNod)&}_6Vbot7b?Ye0i#m_mGDl*g z%=4xKScxK+Fc6R?&@Sen=+dKP`D{$0Cl5^&ebRqzgy@yV_kG6yGTJ!KeO=1ci4(Y1 z0mK@H&TzK2DU`4>XWc+0TpXs&j<`?fJ`lJd$_g2r)nC(E#Ft`2)AAT?+8yBF_MQChk55TUp-NV$9+R^sXMsAI4EEw|*041?W>XBDAf%v1m`idq z!d4T)2^0bTKA{6a=)Ph*@W7UAZ2rzSXk>@^qYtM}C1}QKY)<}Tda0b3`T2|bh|^d+ zVc@FZ7zFh=|a>DW^fK8eLA;w-vyUQm}^aor)#eEz80-yF3wk_caKVR zW$IMD(JWNycR)15eC4cRorJ<%?_nKH8&w3HF~7psKi;&U|Y0u zrGzvt(MyRcTA}EMfpjxtpk!vX47)$QK%ypNSx_vV@V~v$(*DFl{#}Rr}+Hoy}Yc0CPPY}~mtz@dBvw)B#AhNy? zGZk8=RK$4cP8o-2rP8E*)12oMeks-TR%x!*pWCehf~4xN7u9zv$sCrZ1C<w&*n7H*jOiR06p?q$~SF~ZSpk6-rxw%YO|v!gkK_rCOMQ6OoXqC9)+3b9LPTyJ`ngU&DC6w^;3D;Y$84(YaZD~O`|l%t!f!q#!$v+QUmRm2m5 z_jOG7BU~aP(+JEZI;b$YR3Cq%C;5DGG4oU1g0@VBN%?j#K7Fchhj$PYjI%Z?Wde>v zdoHrP*Dh-X0H`x|9PyXctfA-=xzg@#(TH%REu;|;BTYbxSLt|jb&aV+ zp4YY!fDpp&{uR9JnY|fEKSGI{0cp;ZoEr`X z;TH8fL5`n11GiC89Tcl@DyfM}GGOZKtY0;!)#WM@V@S_k3=L9&bD5wsd}7sOB9=PX zk0(rV|7ip8I3}qBq-|ZJ>a zVN&cdrf#@OCyhfoBG8FvvM#K@idn0CT$2Fq-J*?PvGy?aJ}C`NU(CD@Hy_DtAOtxubb(40Ov`>3~!CV*dJyN&B|WiR;^RJ z#Hv)?Fs^PQmDC0Re||*92}pU5x6Za`@~Zn;N5N|~TvBbIb3wVbo=V@p9u{${GJBUL zM1`yY)wt*auAo}mmTiYyborZ)ZPBfL!6Y>>$%a5}tO^oG1s{{ZNnDZ!_3)i?ut;3# z1?cCl8jK6bB0=ygi5|HH@2?AtgD~kT{Tf?h2ba{#ZK^IOkyYC3@aHChR&Ke$83`dD zzxj<=JFDdoS)jlBC`qh>WeT*}9KsZ{ynv~*4&UajUv!kMe~F?)MxpJDlex_BIp1|m z(U#T%1YP<@ft+S*S%`&&H!gRWUcaDXg_QYhYPExm3ax7bVZ5teR*A< z2{Tv1umae73cgH9AV}43GZ1Y`eVGctwKRb!I+6eA6C{vhTu|=%5H3?=86c^1NFEe; zt{7OeRG!FTLMxQy_y1_mFmQz`3(dcecZb8$O_yq<3p}|-rmgJsd%R}5 zd2=5MVw$<7_?=B@Ra}Q%a@l1K`CNvHOUTZS?LV>)yqJTE#x>r|7jXFq#m#0BOTW!L zV1wk|J=S*LV@1*(0r%*q+Vw0d&b`p#{S%`RJQ91bXXnovxrqzr%Y8uBOa^GBvA-qlVqu!&0w5vX@i!CFjh5eOOI(zNzJDV)Q_ z?PK6lK%{;=o~FNQM{hLYlIcfvNm96tlnf|uY~pGF3^JC3i;#jPRFXRYgh{sKb&*#X z8i@iNn1eT@;7d8gbP!2vV3&T2Zq^F;!W00EsXs1%S! zSc`_73;x1Ecx%IqIHY?ZVj73+galTUNHiC*PpK&ck<1J6T2h@{@ibD3{h`#qCQx6Y zAo&7FCKo>=CPuYr%cy#VQuTW(1FL!3+6=b{ws0_UfG`K#Kk)Ru%HQ}*zxmau1fQM3 zVbjMt@;0^Zuo<3XoC?!E_2b$0oB#TCeEbV??2&Bpnh%N1OyRL!OctC{QZFAcejF2h3w-I$`yK!76czjE_%i3;`jiN`(5?T@RYoj%1Xem^L{e*L2$d!uMM z;i<>V+`;Jg5AD=$mhDeg*%d2?qX}D8NV_d(T`3N<5%?)C>9`8nMkS7cbWf;sdh5^C zs78~Zx}{QhH(y_ap)t%P0RW5w=%jB$e&fILb%j)LNa5m2H4qrgK(Hx9EJq)~*MC6O z6$sCGBEZ36TX2?q{k4OqNI4vGE@x;X0Mnz8^6_8r2edLd_??&R_PT} zpTYILrd-ssE(+7oLyy|gOz<|#ziS+~*lhVb|KG)vTbR$F$(nu1^@^pvZ#>)kID;2C z^}^BGu8eaXN7F9(xBD{^9WOWQXkMOf_sp@}Q4<|0ERKKf=X1~`EdSuUZ^I%N&AYqy z-hq!yVbYp-m;2T-ldJpQPAjD^-B~pqUZ=-B2yxeJTrzuKY}S0;k$Lpxd9%@Mhk|W2 zf38rw@_O&x9q{or?7XsZ{E6Yq%B4vk8_#(m(oQWZ%3X-knHsfgCgHg@P@Q|N)-bDqJn(RyL_NH8w1D@l`xyRdD%mX72?}N;8=Pv7U7|nhAhl? zW#%!IWGb!_iGT>51Ac(`n;jAF5Wtb*Cw{OF2VuOIGIAmiLI$y!R!1oihJAj#roR)g zHUlnZ+=A{JuQC6`_Vd0z6Xaf=KE-Iq91AOyIb*a($F0rgf~s8(c~4vkzul|Mv$~D{UNp4q?wd+^oZr7^!1xV!@z~^xxH}oS z4|UX&yZqu?kDhaz0n!h7YrX_8mPx`h508<-mcSV-A;&>~s0|#vA0p zhd4L1Bg`^>9ZazCrU=e5`_ZBu`dw&88CizjSa)Iut(`Jov9KA?S`|5fo1Ofz=4<|w z_hWW#zv^q_2`ak}*iJG0VR<;CGHL*s?q>8Roj2OJ%g6|7M2k%G^14>6S!5t(tWR<8 zAv}3xJDL6i3IW@K8EVdTFCd0w9*<#!o2M$&^0KfJr(+OCuH#~s#NXMm7YwK!T}c?) zq86_xH_pidJpyH>i~n{*N2XPrUKCIHZRieO^|jAi0W)lj7~*ZfAi(pn2H#3U5u{{0 zH~O1MqYG9y2NZbvO=#tBgv^;VADa&4TuDgC%CqbHT8hC&A9h!)p9uf)T`x->>v*Kz zegA)7N+oQ?rjx3g{pyG75L5oJYBgVfD=^h zHvobUqk@Y%a~b#Ez^Nys@Z&$=WkL`-sccX^6enG;IUz%FZb+ZxVdoUpEl({eMA{Dk zxGn(kbPoKs-xEZUIQv04 z0>LYSBnF_S$-S>u#=p$@B{Z4pZ>84^<#PZKP>8s1Ey*qMKxFF+a3j=65X7@=u=+pE zeD~+|MTek++VkcD?Q8f42ywn;G0!WMR^G8i6m4~VsrtG?2&6$fa>?h5_O6^GN`n>X zSJR<=1kL&+kGRNEi{e`o99>-*q#&)dcJLO^ZhKWt05H|PJg_$dkVXEY6Kg=e;fPeu~AgCr}czlInK__n1&F0 zihdTCR#>fL>x3+Yc`!eihQUYz=qX|0u2GiAY2zF*<>RHht>^ZK4r;_ z4DB{=ad_i#JO*S7h~X^BIij``gm90?ho{To`^*VO6Oz(0+<9GDya>x$#e_zV!XNZ} zGWe5%i|TaK?~jLConeCjIp5%ICrI}m73#ucAbh|KN{Xt)`x9W+fw-^fuAB`CyM&Md ze8`DFwLP5ka;87h?G72dL_JR!Nb{$QhJW3h`P2{+a(e5k=0-Z@XL%j9Fr?)Css%pB+FfCUVL;jTxO zP83q|Rv*YD&>G1X>wX|Ze*$6*fEGi1zVK&+AQ~{fM0(EfRG0J2aLF9BosNv^^cQAz zjiJ<;{q*!6N{|ZVyXl|v2R43TSJ4sB%mALZalQchkvmA9@_xyB{WJQ{w~^W06TIb`UleGqliB)P8ReTr0D2GG1$PXWR`I_MHprWT z(BQ(f8Q3>;;4K>{dE?wcK?h5%2C3w-`&JpxbnwbGoyRQLe*(ijA;IZ+!P>2H2{rlA zi^RhhkEG^eo~K#AIj8==yaQS82f|H^k8|ObbntyK?CvT&A<#YV&rMakk1;Pm?bBdp zWhiweHpUDT0URAGCtu}a{-;Rr`9_8r6O9>(9mHbkrKIjH$2)Q@ZtnK%*4f}>9KNv? zDt*4;II!MprFv*aWCnZrMeDAxA~YsQbHjvLHmZ+@QYz8KY}48(Of5fUfq~8EAs;F5 z5CG)UeTw}R3ouZ%3UzZZK;pi`9a z5rvu+6*b8Q4~BrIC{X$;<|N|;X={q^PfSV~pjj?HOu=a@(5s;(RBlv98Moa8s&^jK zP4|cuYCWmaimgBu(b1E9%t_wyg))@3Wc#{{qp}BHGKA|`oksfxyaEaE(apS87A|9U z7;Hwxg6Ju?_=qAS|7~oV78{JDtC6SGO8BjLJ;p}2F0wV%S3;6f6GB%Se;*}3Y{5i08l2`C2re|uI_t}p?DIm33pY2H=ODgPJM!)q z#{_R!=7yi)cto}8!zU=e=bl*bq0~G+k(qnJ)^78QAR22GTW^F8SjEY3ppli+wro%i z8}@xSR_Up`W{#uq;0CK0lqGbpKVR+-!d(M+p=l5B;d-fv~DHhc$t=F zInYMK9bVao*2|a~yDDEH7fLQI(jyJ1sMs%B4<%}+Bx*&9HAFyQr-789Ek@m3L4c{~ zU;w$GP%BknizpyDAE{l0fIY^aQm6|g2-eDJ3J;57R1fwbO3Q#{0BjbRYjzCXCdPEW zL!5!zt%!HeQHU9V_OE66oI9kQ8Nn~WUfSP?r;qkk-C`;y+NvzGjxE-gC6W-35+)Db zv<@?eyZ`pR{dzg<7DE5HN24(vEax@$AdcNFuoYd-lp(F}I@v|)6tlET_V%g$W^dSV zy!f7Wk}ca)7Gb~neDkO}(z#b{o3ZB|0a{jr>e%5m@t(3&AF`xN-StNIL1$X+Qxatb zyUa15JVzT+(9@kk(+Y^wG@_q}F}Le^(7EPS!bGq8rKHDd55yM?rj1y93`K!>s3e`D zI_ydCFfc-OJ%z;OA}DNZNoRG50-?$4I$CYE%)##X09uz(ml-e$4suxW`)mBL)<$Mh7-GyE4HCm+}SY( zkx3qV;r96yhtn-gz23I}fxJ#~^93z^I<0*>U=|lqxhrO z1x5W?XfVI18Ln~AYb~*y-|j{Wt?wgGuIQC=jyWaLgT+l_&W%0HM(O=4y-fYz|F-M9 zS=<>q+UjHfux|9?73g+j!#x*t@0%r0A?`@w)M0o-7PO#QOkDW~Th_T@nSXnk2lEie znlP}%zz!oEs8pf$DkQh|+Y$Rl6sQ=(b4S12fzIz#dvV8<740(j&l&S*Z196&6TZ3} z0F!TDI1U1*9P7%l0DDG0cu2t}bFkozSVOVDpA7tf-f~}z>Sd^%U|=T|kR8j^r(k3| z!&*+kw&=Bvv5`Guq$Lh3pHqupQNOJ;d&NWA@mkwE)yfsL7;NRSKe)f=H)e1QfMR9HhDdf-6BV_1VsU2FdtgM%^6N4n~c zt*)~+eL)#dbH}Vxx5T{ylOl_ss=nA1t{$mgb=bZ0a=J@nIiPWc0UcIYT`Q08^tpe3 zMXeJVeDnmY9OpGv)_+BJ$Guj}BYfDiRD)?yPsxn^1IrT+-`P$4y!F*~Dvq|HJa%e4 z%kc3}dz-^x_g!aXo?|W5s3o6gr`|d&tWa(N#uPq6|3j1CMzk&ed?9aOT8YT{NiJU( zZ=2S$N{2dNvz8F^Y35WxE1+G5uXBHKl5<&hyW=zuJ-oe{KO(>WYQDE#J|Xs9P}U`KFDGW zg5}OIN7fUhx$M$uoWm4<@09Y?90PlYjhy6Q!vNhvF}kO0VqAinV4$utPy-T_P@&!< zMp;S_{hf%BJy53xgUJ^Erw79_^qC3A`?9Bl%cg?8Ud5%~?DH+@`=7KfYB8?9t|0th z3NLf-)HB=r%I&{`jzvmfR}={kK~0akkf#;cHnqc_qijisFDbs*<|D&`9bU)X~STIa@7RP6e#}hThANs?4dY( zR-nuIEzc>1Iqw#h%Vz#*A3qOjQm7CEkx-}#H29zwAO0$59=Z5|9{v(Csl&-^ChsG+ZJ)qUI;RUk6C7)*lUEkFGk;{fTsau z2^D*rr#7xoPh+Si6zW$w6XO)MBY=Dm2Z~r!&6UadXMh)}Bc-Q^`FojBJD7(TgDp;3 zM-@Fy$*i9VA{AvZk8-WOLr8W;ea7?kLbaPy6&*71+Q%z=^;zX6;fH6P7C=*69l6Iq zMj=k?ja)-E-KSi-LN{>Q3htXWSnO=tGwYd?Q2cm$wXF@ZkJNxoo|>GBdb@`w~N911aLV4YrBA%roX>W!A{a&fywVR zGP5?=p^wl}5eoFb2QeFQh*pN$=MW8+%r`Pp9#a>0PWR&YnZ(&=(`B$V!j4Fa z!N?<6_6)fx6rAs)4^aI`eMhEBW1Zt3M(Btp`{R#8HccSHyW8AvXALz;GS5tReU*QT zzMuKfb@OqBpGj+6K4qv5nou!Nw>g$|yI|KDzXoTddEkqV`O!GD;0#tAjcDiRTjDSz z|91IlWb@X8(u=^xzS!n8Ym|fcdI((7`F->-g80Joc*BdXN|aYeByjH|J}(LHnltSf zWgJ#Eb>~Ps;!2`BnqU-S<-IqGxz?xq-1;;85cjWmO|v6oe(_(mi#x8n$NYXP!ELXL@jiXC)S9^Kv1@#K&gN5XliMXMLPEB84Vtgm+bJUjd=YKQ>QL>;!f98 z5Bx*(Vo&_Wm#k`QJ#MPdARL;ko4oa1qOS4v2BqkoWW~WfG*b?2FI$syk z@i`%p4P-er=T^D?! z`YkRtW_Bl-o+0Ew18ai6xc_mQzm;3$f5y&em*0g#bxXhNV~IsqMa%Qedy}2uKd-o53~~FuTb|Cp6X*xdpL&&; ztEg@$D5XCLwzax1>;I%TbR9KVnA9C@HSR?`pmirHa7R`75c#Cs7j)&5;e=&=$gP{r z-VHNp)f;cDb{l=0nm;G9zAjRWJtq>#!?VoZPLx}|>}WgZJ+9037r4F{tgQ4UBz|)Z z$dhC0XLtpdSo%X2W^M;IeM@ig-F;bpK|JPh`6B(J!{v+lS|P#LvT2^RZX?tk+EH-Q zeYisy7uFbg?AC>A97K7sKX=N4sUOKc(?QpMT@S@4PX(T9{#nCi_M0VAuaLd-6Xu(J zZ&KpGTp_UbT)#?Hx&tA!(l%GSK1D?(DP?-4@iQkZ89Ima-SErae5*e>*q2L2q)!}= za1pb7{kta5QSz(|sl`@V=ePQ9mD(1kqJ!g^DC;bbBXf#oZZL~@Jqu>+URG8q&GuQ$ zf8w+FwKSURMlPm6t!E{OwD=Z+;)na=QqRHw2{mCHr(rYFh45li;fvmqzZ~4#NE9I{ z<%CxtyH#DkzNB=oCccPGYmbt)9ZY)p#wFREbY8JUcX|&A^{pE5EcOLGF!$QM)wcC+ zy*sHqOTKuGQna&!g$IMiUMr0IqY+BxJ_7um(so0#-zUms8&;(Rb?oe5`;)pA&1=8X zw<_NG1Tdv~elzPW(6MV~mF%a>Rm!by%sDgWs<)46YSm8e*pXXHPlFqTR#&x9^hZH3 zqpH+`-DNQ7r1^7eOJ z$u%7U1C(uZph}6*jM5_7ne_(K@Iy*JBXP~GfWcB2Iob_U^_UaJqSx$@ZDu1iM$0YQ zZzS;WDJjh(%#HkU$;?y_gbe;AHh}I-FdGSk#iHM6Z%24J(FD7+R_uxMox}UaTkKMC z#uv~B)r|g+qI2h(N?)T$;yqbSGt*v&z zwB(`AewB-(4we|>96Et1r{kpGiAC&~UZxE+_tJ+;vB3!^9x3-1eEmp2C&bvv14Z7^)))9)9wqyeuQL0j-k)G+UqGg1q&@CFW0+ z`AFQLo?bg#*P;JbS*xt`++obY5@{WM#R%7gj-bT4TW@3QROlMP7W417ANqo0x&>fzJ`3Ec_;aHyP zAP~R^um?XErJDzAWQ*;Lf&hC&V#djNAZ09D#pIs7z8&#NT9AkQed3@g)mYM>wv7E^ zWNUC>BRzZ}6w^-|BD_ZC?suw2+-P8%N2B-@roG~A+K?*41>zaKB7TcGxNmJSd$)Ct zevK73sYLM)%zaYm>gMYEGU59p2b7X2z`#fG7h&KPIV}gUwDdIa2$6mE{O&%905Cn{ z#N@4arvNr(4<{%w2nglp30qNC%aOV4**6(BNg)5kNTb{9XZX{^fxO+*w-Dw$a zNXw9lv@N1f`1lR%XHO;bat&2qPT(67q0*E{k2?F7fz`HO4b__;WsX*FA@N1M(QWlBcq@u$~ z<`w;M-UP?k-Ro&J>=OQ=9yvZIh$IFLgbnKgdc^{rLb0)D#4TfuGtDO0$SwgCVARKT zi>`^k-_6;3eFGLm4V72JKvmBIrH_I8ANTEgp$#Y*!Bf?>gDD_Yws^=YW z@oKf|Gq@Y*f2zF5NXxkMb1qDwa~3E1L|DP-4O4~^9N{P#6@{JNW_`i z%l|_N6Xy4Sai+B{C?62Iub*<8*M07}rvw}-!g!P*KF;iK!m4KK%0m_rH;M^}fb^r4 z6_jqy@kns&6tEp2u8eI6!DbxO5y#NDQ6!L`7svhsL=9F&o#XAYI}=kt<|2K+4F~~X z8am2!o$5J70`~e8o*`No24ouaVvjR3C=FcX0dO#YY10j%D(YMAbc5x@m^6x*R1bGR zBj;|6s#?QUtvtv>HA}7EJgNwyTv_2v1jROh!?9Aa#rtGa()D2CM|63`{bq9wMG|d| z5g)j&z1#~*99lqMbT`B@fJfct1&g=|I`)`uD-@YSu7skfoZ_$w1d#(2=@)=_1iS>} z1D7_(y#uTI7?p>$z3*#nKH8txwfmX9xF@@fbRq(SduolHl~v-0Ah`U)>S*;ggL?;9 z6QpX|05V@E`_oGqtwxx``rYF(w+f5Fd)tQf8nG!UV9)J*R5$3yipBJXtfo`e596%L z6wH44GPc^C-jQ7W5oj~a)}~f08A}Z#PY=F1XIL}Ixa^$v59;o z*YApFh=}b-HkFt@+HeixBS)TM-UI_2uo+7DoH!E5fu?hyo7+>)vJGgw(@A=W=UKe~ z-ON+InK#tAR3o=hKRK~yU%332*k4Zq@{qx7Y{v?5j`fG+Zv3R0Hx)z_vd~254OI=!i%UK;qg{fc^rmLAV6{1KH~1G6C(~Ojjdu1Dv?TO)*$+$DII3U*5WZJQpvqr*Z* zLr)UHXPf#Dhyi4DfQj2&ZNUxyZY~Z6wm||+m;gz<#L*OxiP1GQkz<6<`Gn>93I=d` z>6%lIPZ104AOLIFm}56YiTKcYk*m#YkAv}ify{#e+~6rl-k?IHb$JBE>0S)aVTyNb z_iUy?j&?&}PrZB>z5IK*M`%dY95;BKD}jZ^bo1f`={L`D3aZ#)0XLM6i-*pU{8;I( zncy-8M5xKJT1;0(vS^iJcL8iVk#n%YJF8F%wg@;Jz;XD%x+e+%6hpM#Xa4lm>pdl1gg>*kPn<|7h&h&^fuHOP0~Q9t@YSxpZMe6&>V8+t2Z z8~NS~GK(yDHBpWdbakg;=tGVtcWq9A#ja=@`nKaI4E)DGw}eEMsTsj<{Vuv*{RT&+ zY!1$tgtw#$U-n%-bslkk_4PSE;-lVko8=nl8scvfkEX-R0|Ce>Y+EKo8si*5bn!Dm9F>=u1D1-66li5Q*X9W{HV)E`gb*kY zzy}UGC7qVZ1pMH|5i=46Tn{0pyp6WO(N9K>wwYAbUKq6M4OWS=o17?;t;+NJ z7b&Cov4kA5i>_EMSXHBRkSHl}O4^^Ebfb*aIocdWSJtP0>@wEYa$#*7tWX^$mt! zZW?;tMo>yTw?BZD1JZXZ+~+av=2HQFV_XfI9i|tmhUBcNNd)WI&Xd3aG#^F^o7*v_ zzWa~#FASmeXGp#;9yj~AL+2)Mv-Es;ej?!S#(ry<8YB~taED6@J~olaMUI2x7J=uY zpdm!gonEj5lipti@*m~Q>F9V)v0PJV04z8M393Gdqu9dGtyUH%8SHVB`b< zXngSVNJ!Uua-*GjQCSRN3>ZH}x#X(j1fa;ku;QpMU^!Zbb|sJyX<9Y`*-8-eLxGNv z=8!LdcgVmK|A?(5stz4Q`7}$mjk%%VWgbP!t-l1mVdlZJ)JeI52lLDV~

|!^2aQyOQX~gMtz!I}*D~1!%;kqqX%1&kW_WZhErWCG1rFKS*+Fumccl@U_?>Vt zezbXvD8MMy_o2PiT;C7>qp!O4FHXev>)Y%(ro`WP9A|oT)qH=;U5FPpL!aM^YZ0OV zlt4b}8MQS2=m%1CH`I>x8QjJe$GrHD@EH4*{&E&&Ml^{Gcc}ZrZ3=`GW<#rp8+AtX z?)1HC=^?*_N36tYc{Ha26KVEWPbaZa=mO@7M&L;;fjBhcKOjYj2Z(UmD4Gx~YixF? z6vU^Vw4^LP0$bYM9G0Dw(latrLYT1*U@RqAGhrUK8bD*xj)a`7gn-1NmS3KmZ?G27 z7gs4NZjDZR)gtCA-Fz%Xx8QC#jmD1Vbi6z5d;nvQBSx?_l>8W)gQc0Z zTQPL zQW|!!emopyLu^(ozKr+|wbv$@f*Pw_HKcJ@GJA0VObq(Cfm zF0lpJ8NllxkPVMOh}&Z@fy54ptp6&m$G>3AUN#>A9Z5+M!|o`+H;47PBtlhSupPeM zO-$s2L)yD;E+f=Te6f%{;U7Q>q6+we0)MWIi$yO*fI zN1o?rf$6Mji1}nzEs!*8c=4NH0U}j%xNIQIsUKniGw)4EPk8z#uEg~&!yCT2fKb)w zrl?ewcbzaYAu+hi(kuGU&@S#R{`JjENL{?yI@g`VI3&q9J10<@c}JeFDOR0)_>IjS zm;LcytiiK6xh*{)t5rf$gzkLeL(iG;odUJ5eINBo$#p*NzqW=nSZJJJs>Qu5?rz#) z(3mwF{Unx+=UI-2?8=Epj^JPW2dfvw*j)?3z9+hCWOU)j_I9#}ad6{^{?lMe>-3ZY+?bw_d~GoM|+y{$<|nD1lzUfhM4&V^JRE(=v~GRekN2@Tf2}X zo*Mkro+n-iw&vKiSwsB@IbfLtnSK5i~9jqrp@|X9BfTI`K>vU#@#<0Jw|-u_Q$O^jgF|RA|QNQTkD5xPY;1B zAkyfSMv*~Q2NI4+L`_?(UAuYGdS81}T+F$Cy%q=v+$~pEe3vWgVLKS+^QaV*#+oF( zSkB%N6;{hSfQ-E5+GVgxEnZw&`AAjf{ofo_>`kFQPanQGyk@WXop+<}=f=zsC4ht? zw9@d0>pXZoNDxJT06Ee80nAw3{rhWL+mHaaw%K`uB}NPbb{lb8cs(<(lb^Y_{C40! zBOxJ+f4vtt{+8U;@b_<-ND%^JhfiapRdG&NS6Ghk>VjsO!Su=3h8SpnV!@jI`~o(J zwRiNJtm)JfxJdyUuFn}x>LY>LRYPPG_i=-6VVLL7K_IrB)6ZTpCn|J0<uaCfCJ_0|61_C9bPuXwu4Ow+9<=s9SlMu_ zzAL>~b_RtulRb1e0sx^++4?mSshv+UEi>56yFU{t82PsNtkBes{8$pA z8(+{elcu;V!JhcjXF?>&{vO$*5^Z4j^tqD*%{+ZJNY*erDeh=joH~uUsU1n z`TP&*{VjwT<@eqPaJN8=Du5Va~eINih+q(ymEvhfuU@jDMLS4*CAN~+vvw}LGwHZkdRXu?sk#}9C9=wEw7;OYp z*-bcHw7YJsPrxP2TpjedrZfr}`pngNGDVsGHjBY1w>L6fDF)=j-g?Pyi?JsQgBpPdK%`e054QRV?9cMWmAFXy^c{qS4N6glO^-tR!ltfl5~v=6>k6grzu zdSv{!qN62Hfl*LXE4;35YHE5r{Fo`w33N>i^;edqpVY8^^{(yEqwya;g@H6cpT)Ic z>&gHGNryha1vpUoa4Y55J%kIEOmgh@Z?R@Yk%j9Px?|A+@hfh9`8R=Su_O83iL94E zw$0d_`t^h|F!?+<`EP8zQ*KjM10L<8npT6MuUFCHI%;nTmTHc(0vpVyi% zE1z=nruSq!$BZ++Wg@kG(YxcZrOyU#^+Nz_&3tA{QMAUFt4c8=j7ydZi7;WJ2gWCB zSDytav#Y7OTGbop&Y7(^> ztSu@PZ)oJ9uS*|kTI+7EXIl{|z)NZ?8WruH_=EPwod6}+klZaW^LLDm{V$UYbiTSH z4vEH0$TuoyHj;_Q1h5sNG6Rq@$Zrk_8DuGMv~7QksUu=19aTe|cgcO8QlXO=VWVLk zB?6^Om!p7Bv4Zm$@uw5;67)nQ8jK9c7?j3Z^Igw9#x--u=FOI?jCjt~R8)Y`0ONZS zXOEme%u$${Y}IsPw7^@cQ|6co1qnAn#)(|PV#7I7?H8$ii}-*AdG}Nl7A&QXEA6f? zBL|Zs>AAmDKc6MI3Sd`F|InQ~j;kbZ616vsG2ccbhiO(fA3wbcA_j}Eu1Zqaa6MOY z;a8KRE0MDXijo#48agop&u81M zM{O2SD^jjZpkA`}aLq`l_EW`Ic)9MT+}p^TfJQ#@U28sZ6O1aD3gB;G)Ie=VI|hL^ z9tB>iDfzKVs@75!3dS9>EwpF3J7q@iE|!tJZZk`ux;g($%*_ALc28kO$qbyX#J1%d zNXI&6f5!gaA8(iTNY#WE+U?1G)BSB&8#ThBeHt@&_=fR{!smB6s;Q}|28u|Ka;fSJ zr=?Q1)v!BLF=T-Pb$8!!bk@o-IOLbx6#Ez{b^9si+kl6R+THx?hwL?Tdbn$MDTL0N(zO3>sGAo~{O|F-Qy`grkM zp0RuOtZmMGF)2$<+NYpNJxg(kR>XFnHRpypJOC&M?%CsBZq{wr33 zd5L828KXNyrQZKdpV-FKS={>X#m7SY0>%KCv5W!LZv5;rGak~^D(cBD#C}8hl%UWY zE6hU@N$1%X_R z*`GPE*_Q$}CeH(Z^i^9Yz*@>VtM?1;Io#L&8zWbouzMb}zHO88!|F1ph@ua zMM%;<$xgvuk#ru+m3lC9+SF6oTyzF-F<~%g0+j3OFdtXSsers452J=GWC0apMzG6T zYnloMH0U_2PqVSJ%SJ!k0g}*wLMb|FW6=2D|D>8Yz4Kv_ECZ%uEuHH;Kxjk+LQq1g zzuNoj0l%{XnJ`!;CnU`|WsmZs=f;l8~9vr>$2OE3G&CiZy zlixrE%5;uVzqn4I6qRAPnHv!>ClnX zPtpk#nk;^}WH2xrw&XA0(bM8$^}~-K6eovsxj#_sbK(z|clhhaw?x*-FX*Pli@e1$ z_NM}HmPh*@(HY_D#N!m)Dbt%56~|T5SRJJq)=;daUPy94ojUsulNV;_3%a>dxXtw} zGh6Ia<_Tm&w0CflgVk6_iZgkEz0V270CTyej?zaDElus%3!(%0KHSk?Ny5zLg0#sG zW>$((h|^|2LHb5G5R8&BAjCtILZ&!CJGb%NqG0F=qrg==x?|74=kc-HNmsVmN^iJw z5%N)LKr)M0SOAML^lZjXo=NV0tLe`Q>K3qvCEzbJ;63VO%V$0w>CSBg)yxAr_G`(g z3jNhoVSUS|&!4|5tXq%o%HJt1cq70+dw8aU_^l&RdA51xVxuckx^9B)<)B& zIj7^78@WNhPS3(s4i`sm_+;k{-qGu8(`f>AC{@Jr?GB=P%$0pSuI`@GKa(bJ13YNc zBPc>Y{&?G+_}^#06I>gStl)kDLPtUTDt>mikPz+#dc(t+kH5U=848+86C9@M9>^>2 zT}8F}RWVdA8~^%k!$lB&5%17kmupav!nLuc3li2F+ya-#`Rz(Ug4FP}XovaQGee&e zVfY?G13i+p#~xr@>7@%i&f-MypNwJQ6y1Yamju*F)P;LV!*aZa9ACUUp*CgidEZy(GETa$32Tf@@6wM#58fau z#MbWSAx?dR73cn(VmkR~uMfP@zs4FABZ&RV4c#mZ=;_)NKE?I*wH3<6C2Q<^S6`3m zIrAT2%H>s4`BTyDTK@Emb^C+d4P6+W?M);evmlRk!)6`ILvLceShu)&y7S;VY}bZ zy}bH9wzdjLw6)rAfI*4-T`2*uCaOdg+4R=C34Kx_QvD6xe-FZ)6xhBbmVXupXr}FC z_H9)3efgENXWKQ^vfVjC<%qAGsped*I-ys@0kW-`H2dqi-_E|Tvu)}Y^*3#X$|h*yhvOKmS~7p&*~Pvb^)c%a`gs4i zO3?UGU_cJj!32ZdNa&ZKBgPRC7gy7_I~;nD&7I&@d0?&53kzuX%yQ64Uhu#Rb>y4lp(|Bl(=i zt}Wxij@{ADEyJC|m7Bu<)HbXNxde%4^C6CayAL`>pB&rqd{pPwNE$fHC%{=g8x6@H zntTU4p5b!R$k^gC=5WVEG89-%A5_j6E`Y|*7|nKGRj0~;FqT#twUx^Je&U2Tcn7m| zeZG!9PDU9 z0T-6^=usx9J!>SY9)1!;&0#N9Tta$J4SB;AqC8+%tAvj5DL2VZMJmYP$eiB|B%RY` zj%(L9udFSfROEtDJa5{wb)SRb9Fqq-eM+=!ju>2sEPzoW+ z*TskZve9`Yc%ws~5-V#hKddzIN>XH#SI9Vgfoq{zS$saJKW{buE`u$tOHNN7CAa`B zN}3@I#s5A&)tOPDqS2bDF`4rF2?V&&u2ZQ2rK$qSUuV67=@DZD8?+`PO0(d+F0+n& zes*C-L*{P=@9y{!9zynCvN9uI#`~n?M!xV-K1T1!AVx=P{8GIdM_Gd^SnI!9ua_>e z`DFF)Y;1&I0BQ)Ct`uk~@KGl)0+#>T_MQ=&kOE?SX%y?p^%gS;SnGEI<_O6HK>|s_ zrR+0t`_vp_YTvBe{{Sp&1|-a41c&nqlp@kNiaFfgl&`Al__~&tBW*|N#wd$V&5Pnz z0o$C#P^&o4V)=GDqG^c16u6yoCS(@yVxSu&@bVDJ`FN0*<0fOy2wxDzY5G6f`|`M& z^SAvoV}_ZrhE%ACNNKecX+esz6p@rR5|TvHe!?KFwqz+qqJ@f5X{SzEOO{rO6H1F5 z?fY}xpHs6v^L<{=>-X>PIe*Nk&hk0$&-;BZ*L~gBEv$sCMU`3ILa;}-Vbg&-GV1ME zwsRlfXR`+HyU41GlN)RlNpBv+lCRSD@R2??-3 z$i|9BTzd|8*YJy=Eh-ZcadC1CFIHcXfdq0+4RKsH>Ji6fd$mW$VE*Lwoj(_JdCb+T ziXi=qD8F;uhJ@?SG`OTVd>v#(tLqN+-;4K1T)oTdv{mbuLu;g5<+&ukCc-vme=&)r=PgD5_c4I^4#)~dTEmbAKz+=$Php{o;b9{S^5u=l=HJ5 zR(LPp2JFYWPLj)zW;#7mzr_qPWNw?f@X=tPXw`g@i$brgiPLh&g9kCo3z61bllE#% z0lIPp`?nHALP1c)zaD^>&Dpf;(xyE5oKG#6b;WGv1V6=GQ_NQN5@6a=y_m$7IM9Iy zl&gCqRJ!X9X*1lxa5n7Oi{{=(GpY@4P!~!N>S-4=2EJ3Byu`ru0>g3v#KX-Swyi3o zOV@#=KZ}9qnA{gDI3Tv`(wI7Ma4~Uf8%6S9AeN3~MNMQ*y~QJRE0i=yn+%#w4k~ju z(9U5IcYlXLc1ugqz-A_?Lyy8L#5i4ocdY9-$@l$eW}VbZ`{NT|flL44u(5BUl7%k{ z}HWOxNDKgOzfMOsDgMsiML=mI)cYeyPa9OGF zL)cs{wH}V?c1xMvSpRw#KRjgVGb6I~CI4eZ0U8Zffd^)X?6V^71Z5j&&>Kvg2JPL( z@c+aS81<}r5*N&y32u~wG8#{wYv>s7WN7e?T7FQjJYhB-N(B{?ZNT zBz__e#;u6f`U+d2HscFZbSKOf69(m>qnYt(@9h~2ERC-6Ka#wYPsSOdx46LSUD^oL z&u_a;11U%5fJDqmd3)w+8l?z#);xv+#NMo~8`vH%TR&|~2F7vOzTY6@%bF2$I0g@1 zE-e&^#_vE=v`Mqx4VAOv72^K2Va*kLlPmYO@q*%e-FBF>?JoYNDXE*1aRF#t%gdsD z{po#5NK;q}uj$~1KZKhOdMmeJ&8wY!@+-M-bO253cKcTQU|J?Z#QOSrrRU$itYgbz z0?{f^s-iDg^4Y4U)OC ziz-nyL86j@7{|Hga`nraxA3{>e3`)S7i4LgGprRsbO|!uG7RY}rEN^mt%wLU@FtI) zNhA&>#n<~*a(Yg%RpdPfdeVLDi>~w)k9x(@w0`_)KV(zy85cyY?CQNi2OfjjHzz3U zzrV*Q>$VnQIdE4w3QPyV#_)f$#kcjfIBvU+<*u*n-}2$q?mJCKE0A-2e?N(pZ1Af| zh|y7g{g@TLnz8vCK|(!i_3XkOG<^b1zo6cCo$_b1Esqm!+(<6yLcgcX)b&9(R$ru2 zIz74>%z2|k@KcVl&GP_WO@|*S2KSZ;Y>dG5fIm=P6Cz03T`)gandj!5a_dMBZ05D6 zR~>Yh$7~RKWb7yFuP^y;)x-y0e>+vo^SzAr8j{)fI&7TfzKdGrBqS)705Qe?>^k)Y zHOON4bhax$r-F|$hpI|DckX;9CCDmkCP$i@+>PMt3V6iqbUcw_R02odv9zOU$-;$fvyxGKQ|-Zn{GW>6yfX z4PxFnD16pB;=@Az#u)4rv^(@?-@_n(VOX)b<%X*hSjh|OmnTYys9}J;VX9-x4ua5G zn)3V|Ke$K1bp96s$pg1k2%R_iX-@#{cwf@ssCZHW;1iua7U0p!1Wn4qpU`z zeE~(0mK&Zk_HU9iW;&2B&s@@QrU%wz{JOjj}@M^ikgZC`GWjT zArzxd{u_HN+#J?jF8y4V(V=olo2O7g$HU_0Ae2i0#z(l%LJ%j2Ey^eTB2csW&zojx zHfpbfQ6VdVQ5p)z(BOYWoYXmy0#?^Qm*Br|hM`as74ks$R|y{h zVp-@=wO#Yrpuzta0=wJy$Fm0m5LOw(JJbIF`!d+X*V~?ndK$h4zlkrLjUxP?&*oQ( zT8R`$y?A`<@@Zz!o=;CIyF&z6EnLXY+fh$ATVyZovU(jd_6`VC;&w325Qc}T zHB+_cb)SyYsE}WJ*JY?Wt2@TAI-cre5mxA?~wZ%?#}~h+3_vMrEn@BKuyX>TlJVk_{8-0vfk7 zyJ5wj?ZpZfln&0#T|qNAf_K`w&BY`m55Qo61>R^YRXjD5H#jOI`<$=!xBMZ)5gv6B zT@hA)Tr0zj$T@X!iA(*U-ygi~Uego*+s0uXe`e;^G?Yp44++cS(I2!AT&1cNW4Bns zi-&yrKtr}?Om)|%V0QBAU9L|)?FZ>)mN*n`@erO&--(rL_;)9LTBo0l{O{sL_r{YG z#`?i^%5WGHo1up{v)%AjW)R0_NxwY*{Pd2{t4FSXDJeQWuw%eq_HyD{ zx=KMkB523t5jhhd)l2#XYCWJ8H#t!IH=l=GrUEUHdr7mC|Da!O3YL|m>Mt#zG{g8Y zOhwNC;s~@y{+aeEp?A~5Ci0<4t;vFU z{YEB+>K6N{ZHyRVRhoD;9{N}LwtNl9Sd9P|C2hd?G9hZ#Ki>jNNCc~oaCHvYApiVx zX-WHL3^R+6v*5Fy5B^$qjMoD-bUJ`F@ibCPcVB zdcJr7rp|?A0@p=fh8WP1bBo|T;~ZPg|KUAZxs1Y^Vd}3FCP(lgS$>~2{EEnR(B6W~ zI%-xX@&kbF%n8%~K%~&^B61R>V(|yP7*`m+jLF`m-=3Q@LI+K1NUrRZWB-7f(LQwM zRkhILo$_wQDY%H0@jVVi?gu>ZI711MkRbK@e13LcDlTJxzf&R~Tpp=0jB$b!xx(X2 z8t4>^(l8SN4^UcR*UOJXot~TnBg8t7Uzi^)nQNG{52zErbR5Ezjt37V|FgUVn6cb3 zdBmCqjqg5VHP@Irf8ZGF{CNB#3ZRKLVHaU>L6~a{X`S$ME!qwTl*zR1jV}9?bx7H$z|S8AJVzLFJb@Q49USej$a%BjVgd01>FxBc%wkZc1i zha=xCEzUPbztFtL^ErA9xM01Vu`etZKF8wG#!VNcmRacMWEu zBsWG6=_5Fs3fIq_?7pdQ*wy=n|68W8z&akHB=BY~e3!Dl=ZahVFBIAPEIP0QdJd#` z7##al<@8|C$cmZ^6PR-<=DL!>@5=<@R}=9uxG(eWZPU0ot`c2UJRGoK+vF|LHFI4? zk48vHhwiwk9s}R2sn-5 zQ)Y04kMnaAqh~`cRF_=IN?C*t9jj^EhR7|rt@R8DG5B7V4;bss8YOR%<~zk*;Ped> zjVZ~(JyT55_=YoQ9RGe;Y@XxZfkS0DQ*tT2R{KYj8+?0>9~9>Di>hT+pO3t`URV8j zS;?ECqC#kDN5u&ooZ1Mk@#?gSF`UfECACtR-Trw3ZsuGI@pa z`wz>i&J^5T%Th%c8x^~uyGsegx+(W9&@hNc_%%N3uyV@Q31~#(qMr`$PBvvxZ(xum=9iO6ExGbeA?2 z-da}v>T}Y7Ewdm`R>C`b`5bINDG=dNP;pc}zkQ+o$aY&%gGHCqqqGa%X9Ex z^o3L$xFvgo%OV#xObn7- zld?B{^PI{fn~n&j&yY)RNebpW9@0^*&ym{klvFEJT-19z-QP548 z-tdcB$dM58?Jvi@KD zNc-BRct?fUPvi5(f}Yo`fT=I3GZ2W-ae1M|e%UYo_>rh`D*Fd76678P1fi}30FlV^ z{73E)B&8M?p4vyh4LTb&_3MN(m;Y$e3S;K6WriX&oGXZhutpsiXcoGRp(+a3%B*g& z@0*4eF_}0^VJ82&n2*UxAX#qV&+6>Px<~%Hcd@46YB3-`{oPQF`Ro1&^clpIe3r$0 zdKgsQ?$UKS+^~biB|UtI0~I~^5R2;ja~cMJp}8QM&jI6qnZ{9c=EJX{JoCS(B-3j| z$VG);L$-DBppRMKW9;%P{P!9}+W0?sSz=%}|DV__mXyFNJj*N-6+kma#5Ib;b&zh( zj-G1LJONG%w|_=hk&WmKM7WZHiRYeva+jx<=bQp_+RO6mT@&+X6czYM{na17%>6gB z#w1b{I7o);!o;g#AOj0N(2C$ zohdNpXI1k05P^;2HGN~WwcjttMh(BQzS*)ve%Pn@1`W-@WuInrtvwWw%!w9{8hkaG;GC;CX6Q;1^(+9dPUV^)F*STSJDdJ~OnyCEw?gEb)!doUaCVn#=xy9QS_R=g9+4(-yPdsE5?ui zKo4!FLJRX?PR6te=$4>4vro^<`rflGg+xfkIMgSNR$pEy3!2VrwDT=b3?RBcJv4(> zy_~-WvAo~hBDD@v_tpq;f21q1AD3X71(*7Sw;0%R|vwqi$fxK*m%u7k2yk zM9WkZj`UFx$$xwQfUk8bgy)pND^FtdpZa^618IOLTF)?Q>5byvx2ZH>S!peQA#efr zFmO_T6N*h6NLvTfnV~SFp+3-6)N#T7ZK@&-H6+1eltr0g^A{8>AIkJQ4>@Gkw1>Yr zD6H=^8gmZh8*@ZVZEbBJYy|IB7N56cwR`ugFbL-$tSL1;u*SHBZ|D*5WTK*f*M%lr zVs`li`{*<7@KUwq^}x2Ns>N(W_9?KX;fu6{#(!X6BckDUfRP zEm*K1-d*u2#0!&4lot%W^Nho?8xG$scbf7V?145HJM}Q|39uiQp9eCPi#z;pP1TWnz(n@X3%Z0!WT>Kx^%<% z1Uxl~%YpQ04i@M16H~{FgYgHze0oXT)+yE9B`MdSl_VhnwWUDJ*Q?RkAtE@qK3>vj zUpu!I6~_>Ee-|&kx-YKOmIjp5TtD7@WL;FG;om=6Cvc4`sK!D?%@$)-q1vm zLkt4JC-;3Jp50#@Fw@&clni9q z81p(m@1#Y+ZH#Y^0~@CEO}wWdZF8s!fT$Ee)97h<0Z_ngB?4FLXlgrZAQmU8o57m! z!F=)kzl?t%(*km!B(=8`5IqYeQjd&p4@V-!cFVgAU8&CW?4ER*Qb-s@!v+19V5x8` zY~yLbh8m6kbLMe`(BL#DK!xkgj7)5cXM5oDPCS**UIIxg@w~3uFma)+js{_+(7@iD z=C}(}!spWMf}+wglC4v;t4LC5d%d9s-OsWcb~~2`yv>z&!TZ+GDB*(*B^)w3=o8Ev zck}nArbn4Q;68F_)-$-UY>}~Qt@?D$kkAl^5RfL6R`2i*k9D8sgoCUkc|tUutrjt? z%mH4pwV}ks-d|5Xb3R}N*AO-~C>NlZ4^#r&9QwOz3owoSj^Fr)GV?I#4$D6q^gR#P z_lHN|L?8VQK4UXP$Ba1VWldZ|2402rPh?}mbFLm5${=OO#0bxW+HT4Hb5SN%drsw&iXJ>o(j|ku-<-1{h}2c8j~L7+}62 z#Y17G8J%2TUeQ2r5wl~!rIGjeqNiy2@OLH2-?KcRx+i=71A3P7I!Pba>O&JWCl4@J ziqX1?o^7$_%xrQE3{9!YZ1%7}e;V~lYCNRP%Uj?LX}xLCl6uH>e{yaP4<f9 zn|C&>cP29<7M5%ZUFTh&XTPLiCP^noW^T@~=}C0&`p%dS2qv-zdTQW(+#MDktbgqc z=DQG>^{$YwJ_>cNBPzVS2_EbRrz(owRID1#HJqW2HIn(x03b^zik znCQz*$Q>h7ID6fdsm(4$ZrqsII3JR`r`YT!#2zFgJh8f;BkyUDyyr!*>etkW&dg?L+!RNQ>NrD{ z1lsh_=vxhap8}z*Z^!l*{LW2&9X8Ng>l=G-R2~x~ni#cbwZ7C#xg01mZD1YcSbhZ`?h@9nk!50m)aI#*>U33$AJ-= zEEE#`8$EySmLw?&iS~Dg%q!ar9LT;wC~{k%niWJrCF2oznwu=~L{0MPnUUQs4dw%B z&b=STvQtYNoGR^7xG~4GG2xf{Jl4jyg_hl| zUp&lIVJ$BJe->H)pimJ$llGsM7TO=>i8QkIC$*-`jw&AcGHkXf>(slpKbG}M@yM}J zRhQ-@$IG^MBv$+|Vk(e9BvfCaU#Tv>FSigHW0N5i5`Y~k31#R0=``Ct6`P~mBm1A3 zLEiGQY7?O`zR5-#H>2Of4ZYVxa5r9VUl zU=KW|Sx-eNrDL~`FXf~&X48sfbRpc>2_G&_p?VFv$o=WS40LG>%npFG3xA?KRO|A0 zeXypj#dEHF^8s|rB@jdB^|lo0EMLBy9H(*KQKLq3nphPO>%lut;TY(M20=l(ii{f4 z6eBGycPMjHEO)mcgOtrXIr5XL)e){ey)@RfW&K5UtA>V=9wH0sKLy_t_w4*|)#s;5 zRP+AIXczm|lbIB=Nh{B@r>V5|UcAe5Tb}|*uo-!8yXlHO2NtUc$*|If@C=wSA-=T= z9M#+&S&8hAaNc%2XC3w7t+hc_*~31Fh-x-t<;pApyOA@-<#-BEQb=D8`GhH?TtSa1 zyH&Gv6{XH5_L&Q)e}RneU?ZN{mg#%pzQJ8=6&w3&OP6~uFOcm=0Rsf+JSjG?&qK&| zX`^ACWnXt2@CI)t^ScoM9#JQw%ZCsHq18~znj#KpbI%OhAIhX zbl%9ddCY6FxY-vLJ8-pPr4lzZH8Mx@Fu*2@6JUnr)0yp1QHGc73}$x;WxFinKm^W@ z-B-%?_r7fsiQxecNG&RpoGWzh=YYdwS1}Pg#f@&0Lz(3X4%VL;P2UU0;s>-rX5pT) zakU`_*7laN`;4YKzE~-}^%^g#IaXrnba~#7Uylbi5^|3X|*j^iTu534RSL(CxqN+>3m6l*>Zr$1)xl`d-Q()6&Y0wY5uM z#zlnN;iE3rN*?3MzU_8W%@62M(rR-n@ns56dCb+m5$ZDFsy#wsU)Ir|v3@Bj_J>Hu z$B+Cv?}SG0^rKKyLcGc$8w8~t^WIk)eH%&~EHu%QXKpG$!IUqWxjD1JZ*%UctcI$` z>XR4e+2kWRF>%+wP*ht(5%{vJr>yq?K_@YCiR7wa{NJ+|;dlT*n|UDWea7Huf0CKT zJlsiGaa(wqfogOwa4_}ijKl7_O8CXCOVkl^&s+UtpBp0E8bCMA_oQ0MsRJXavFZ|& zegOUED(HXvdVAY@G?=I*UwB)B$Z$eK$!(deOkC&Pk4GO++T~jy|E@N(+$pQ6=ZAzA zwSnFi-swR1>#5z1CRN`jWzS!>q6MbxJsrsD^tIg)v-wQfn>sx%tv-gy>2Raz%QJZ! zyx_CN60Q4kM=R$cTpO5}qTAGb%qD80Jw_-oT~dTC(S0t1XVf+8z`4vwt^WW~<(o`| za$&q~4<-_fN650LJk?>_voH+}8juBifla+Q6!dkTV0WINeL^XcfPe#aYJi`qv=Epk zyL$t#=k2huOB4bY*GIwcG^4LRK&7wsRSorMWnk|Gu)BiUCnX8I@BSW~-DoQ>_#D3U zaErMk%jpr&0bw0+569J4mMo%Zr1ObU*7&fVx3v;h4Y|$h+_@8=D--0PTNZ;1jT*7M zy`dJciLk;NbXo!=x&z;qPw|zlh#X#Xj0MQ4hLi%7{_9 z3&)0rhC+g<1Y;I_#@-~SXcIErwIgrBy1W%aTPI##Xyyr-;S;+be+OwTf7Rtq*}wI?kQ10uXwI)a0N8d<6B6}A!g z?=Q+~jg%LxwyA8Ayt>}bEeu`$K-E(EE@eEGOCM!C%j zCk0kkR4A?f(d12OsZbzPd=GWFG(r8okjvA{4jLWwnKp{n9@**H$mpM{jBedqe%G2~ zw;o8tLy8gg%np%hq(Dr-gnjZOBJvgGO3Q#7pOlG9rRKG97+6`sSKJxN>U?ZsEj0^ud*LGt-eEciU;k zJV}mqAX6_g>+tR5zR8PmkksStcJG!JL*fpE?}1Dkg;>Bnk-42(KIY4vHR6Vskemty zg49w5pszH&iu4Ktyl)@-h{kA7sfY(-Ti(}if zWsQjRiUS7@@KPfpB8r-4FJ8RZry#4DRd#<aT{h+ zz@6I^hIEz{s4p}uw$SYFEYQeDm^}$}aK~pMi{_cN#Td1@HbLNR>yqSU!-L*a+hcNnQ7L8oO@DW2f7un`u(hMjnZy1XVAHUf;33v9JspY zVnqwX&p5;Rs1UqVPfchb1g^p5G=$oveC#p7AcK{>)a)P&R$cYOV~TjP0Bu=5!A!{Bt+MjTc>&j!w9-sD1|BdmawvBaEDt7$eX$~o^rX9aQ4d@3{t;Md8re+oALYNHx+1g7ukHdO0fHv*ugXkiFHR6*-_ z&AAP0PeueRmWHZA5fu!$7~LDlPu}Emd+!%{$kn`N<>n$c6r;S$y|+d@5Thf2=vhL% za1IZG?yA5Zx4la{$PAZCJJn1hiz1RlZz5YgKZ~mv3B~XlnWx$edfeJXYwo?wcnsw**`461+93 zVA9X`q;(@xrS5u7IxKzAYrVjnUw-pm`I=>^@Wc1)gew{aKke7As4HkO4ebl<%c@p4 z-RJOKwK{#q@iC&4GhN$!2<+REv{OLb{o7Kiw_HITBkI;IzqfDS3NPBf{o}_@pHuP2 z3A>~qqZ8n{)%%>o4j{$E~|TY!4Jb4htVt?)IJepVFyQ~ zrm9rAw>+O*dT;j|>9*w?qh$NFM|}I#nLN@HgTP}>BcG0!HQRLI7PndR}ay>x1uhIGS)=;O4T@ENfao}M$kKC}V?QUWs z#m#|a_jy#lKv5)=4pVHaC@K;Th;_7I-B@F5sauv<)W2^$?~AzB`-X4~*u)5xLj}mh z#I3EZ3EVJbxfsD01yXvn*s)HZ-W?lg5}7}AHj5f;*)lmo+dt;zs|3qjT4TqiihGl0 z{Vs0SA#(JA<+eu4Om@48rUnT@WVow?%qf<~qWBVYY6vnZ}Qf{HVQ9{ZK}3oA-= zcQg-FPadiC+1`<59-=vwwV?i8`k@fOu{<~=PGfmu4a|@K_wV0#zP!FF$-Y|MwXI$d zV^BA3w^2Pg#ljqExw&Kg>p7HL(|xKRc#q_C1@3HweRWoGgic_E*o2s%%a^BY%lD(k zAZlWs5TDt;<=nY*S{N}?<2@t5yDHO7C)=~{+R~%L@2N=}+LlImdPF}feGD`At`n)7 z$hsvwt!G!%R3R)ZKsXFQGVP^HmpV3AsrmT&_6@X z==>1DQS?1LY{YLbTkZt~2MYzNckk>)_mI!yv$G4%Na|VP-V|S7b+)eT&NfrW;uQo& zyl%h1I{6LWE3)s=uUT=u{$t+zK90GCN7MA7G8*gs)A1AjU}R1c_zC2a!NEgx!Ta|Bc;gQ8b@K^0arpCV8WheLL9AaGW1eI4!z zW=71CkifeVsCaJ)Q(5d8$^T+yN6CcSrM#Pjv-Z^aIc5u40mOph;>S98^SAq-$`<2y z1Ke|Tv6{bQZ{g8c^82q7xJXI7v89q4jE#+plkF;Lz}O584UI8NzU4^GnRD_`mCJ03 zd{vzqSGHwAOGD8j$BO}XzrO8a_c7ODku3qf1s-ompu|s9bz##MT*~WdNmKfr zWD7jl!4C&*^8B5rc8xvSq0t_38?^P(bc0IzqCqMMl7_xo5bu^_g*ySXlmZb5cymPb#!KPp~Yu*MN+ zIVV9J!!IK9cj{B>EFp1xl*o91zw53gCC#Ty3Y~94R5CBVYyEU*b(TjfEH=*EChNc_ zPo7**J+wCia67L)Ha;J}MJK^%1feA=@4bdy!`3y>*B?id$jDHf4h~K+3abe+GCN6C zZ8PNco70`_3^#4k#?>?DnkJ0NcBZ5NtP?DO>&C#*yE8o-<1O{Hac1=FB8Akxkj|XYQ zOk;9w%i&aHj&lj*-HgC6sEX1ksx2qkzPh=NG0uREt`x5ZSQS74gu{cMg72kk9t zSQngxRS6Y9#oNLZ!ChTmK|jjZVN^&U2eu+sLGTZH5A(Ta|BF9>dl!0t9!zkWQ>ziQ?zW1$JK$PYWf%{!^M|Kp=1 zTYPu#mLd&}ihH&~E-o(gbYz3faih#oK)@bV$x)(<=M(4>g=@?2AUiy*i*L23U3=mX zio+cpxk^ItxGheoDd2%(?5Iaip7`KeIK5ph5x}~ltB7dOmbNx@F^{In0pz`uY<_h3 zXfCiJUlhjVQ1ff1LN7WPZvmV`v_f!y1T6E$&$OuPrzd%PBN5>spbKeFN=I2`CRGgU z;Ccy<<{{v;X%#WTRTE;r;UM-1`TpYcL(NH9^lTtw8FiH@_NMHB%A?~zmT=UR zg>xf%=zJ%zqe8<{iA9rR^bC+!*rpUL{P|g3hI{w!CE`+XHhbVvQBfeqs%QnvZ6y-L znl{WvR1w_c>n*Hcp&6v`wpJ9dEP-M-wz@UkPKjx?dzZFg*6ItVVx}zEJrSk%=DmTQ zcF6e&tu2Pb@KdkG(GtdO)_X%i3*IBH{!Oe9cCb%?sOpV4HEb_LF_((_aAmAAjbHd~ zNsAJr+k0PxFO^;MJ-WZIM`!8M2V!p0($d!u$T1AI#)Mq@cSPnoBos-musa)F5o`z| zbc*i2<}0V`rnL3o7)+56UhKHjzoQxm4gp{r#Zkv{fTb!)jl)eNzC>g_?rT0A!){aB z+d2KYrx~{5I014wu`)6;^UPFtz6igd!S>AWBdY@J_3NFRdckrFzP`G;`~AM*;i#GbpwMw!JZm$jDf-v7@nk-rdA`JxyQd+zc6y zlOBj|fhrC-DO1TuXxq{)TdB@>uHG@z?-c!LbT2X?VPDwS6wkhHXDmK6r;njktTCy> z>FZnLNH&kli7vf=|2_&3?lU5K5H_n2=fxQq)uGB3+|9^0lm}|N>1ciY_%RQ@P}Fyl zEOKg`*zFmU@OfSz2R)WI_QASXJzd@1yUutc#9IOVc~tGNvKg=>JP;f52oHG^vk}7i z^_w$Y55g~51~#bMKfkmfy7cyzdp?T~)^A^;1DLN}*xL;QJzv!m5k#c9&qbWw>#(Of zOKtyt_cuf#^BOWFH>byK&4hlBNW7?qr@Oxz%_Yw7S%B|RQ{}xbYzJ&zsxu0JR)}#I zwAX(8Xy~@OK5n6XRfuaSIgFP1d&>3&HiIwd5Z@mA7&iPG3`LLQI(!H#>&oE4mY`yO zQrf~m?kzg?ndB`|pHkX{tFF9)R7FZk%DcU(Qpdo+fcP@SaEBg>yYKD3lzl^?s;UBx zUj5xzy6$-S!Q12g@ZrNpPoMhUy?YnR-zj^y_JWiVaOB95Em!t*=<4YaIKN8uND^*b z@%;m}@WOuhqe^{L1c6~E8yg!9*Ueg&ZHwK0?)-W1#thbJ(M%swmv1x-mJ( zsK{Nr7b2j0-9QN)itF0zwwT=CZ@pzJEPdonyUOI~Qb9pMbRTm4c2vN1_-Eoy>BR#3 z&9+JEu&F`;uM?P6`)-Dw*E52@e4T-`+L*n(p^a!Xs3_j%oOFsuOd&gQ6M}-St}c<= z9yqWs>qAu!ZTj*BV9S<19IhQn9k4J~hzQ&o=SWNYAQ(4PLlL+PAFbUJZ;~R167U2l zH|~btxT@<-fudL6<-yR?s`J~2)0Zz_j=}vEBXgPk%`+${h>UonZ*fdxdMvnVDiH@M zxIpN1V{2?wRMg8-L{2+_*~WN+QA5Qyx3}py(6rE#ZFb^7Z27hi|D}p@DMsH~A*qaZ zNwKTMi1K~Qv>WL54cWLHIq1qJP=;GE;TaXoQa@j^MJVMM-@XMTv{7P9R0tDjteG=| ztXNWw0rsmXIB;Pdsh<&T`2q+{e$s|z-+2H0*|QU9s&h{ZlTH`-U8X`${s%$3<7s{IBL+fwT~SPA{VK-wflX@J#q8r zWJm&xM@?%-FBJd$7uc3GIyJ#^TY+Qc0CT1jrtZN7lCsuKLseB3m{5qk+O|!bFenFO z0gqGg3bme@>L{;LVx0k8k?QoqD*G(pnr>CptbY3BNlYeqJ;PoGto1-<%mvQk57c8e zC3ncQc>v_{;mO4j3GS_bd|=U{MGFe6Q9I~FeJ3R5(AT#jR3Nqb_Wl7yI{TX0;+WXrPdpu8 z`K--$!e0U0`ymA{z+mOr(YYQ56sjI#52^*AnjY0Hs%KSrNr1*MrGWWw2sby{O) zX11ieE<(}y+xy93y(KsTohWq+AvSxy^9oKKZZw~yQgYkGCg}#!dIv;tzvYq-)0bVx z&w@rF!)InXgFHe-x~MO<_lPE%=F~Jf)2*XWDxrPFm2n*xMOB?hahD)&dK$&^093oy{F*R2$>`#i7XeWA?wM^hTZ8R_tpiq9%fzNpW!6U9;pNW)3LRncE1eQrS zV*bdC^J#u8&Wp%EC7qQ7wgCT|WhP-2i8o5yh05H7z$3$f*6kV^nB$KE!NTt?Ew*l} z>2+nzeCta8W}W(_{2pV}nV(pVBl+i#`Dx}6zNun+Bb^2)U_;ZMF|5CFc1(Cq!bY*p>#>8pa>Gu9VSZ@&`GICNk}6iT`m<+ zQjw5W=~ko>IKO+MZpZtLvCn?b`My8S8Sff<4c+j}XFksz*LD5ky4OvG6H+UeZCOS~ zN4Jt9eN2gtZqXe&x`n}iF2PS!qi&qQAA;7B8rI6@=dJC|Se~PkKVyB##N67%=q}Nb+}x(WF4$*oX~@l=k`|Af{B=oM(~6Fc{tWqdL5$dA zBRaa9dX!^FRO}!2H{02-@0gvNt26WTTfJ7R`^5s4)jTRkjx1gu`S;&dk++sESn!Tz z>66PEtGcBmSDXC(=f*#-UtKHkD_ta5rz z`SA%=adCH6qc>Ex?5+?e&&a{P#Y>hL_thpo;4}1=m@yDzZY%P7Kk>EA%VyI)ZH2Ci zU^a?r!?SmFdTs-6^F5X19y@-#vkPDU$!}ierbsxX9Q*;-gRb*j2+e2 zcLOtXQmgB9`GpMq;#C8U87Em>C&HQSKVGJCv50dXasT6sk8;HEm0pa3PoLYKN;i2I zpPV088pyqS$Bv_w!ryKO?9<_5VF_h4H7tLi+P&SGEf(|I`~LAsN}yu9woztcypV1G zy%b@WsS$0Dg%KlyHobmJR&I&R%sfP)CMPF{I1LJp_SK!tXtI<|YV2>xJ2jO1&D)#l zaP+HJ$3(`Ptd^}kF!n^vd0 zJK(_rKe9MpOXWF^j?|tqXV9Db@{(R~kZF<3x}fs&dz>5{15UGXa4p}s=WUi%7b`_n zRCMb5w@OtEigIJX-cxFLl%x{>-Mc74mp;0CGYWowrnSJ&b;X&*?hA!S-b!Ro59W+c z4;Ad@=U2tJ)h*}FJzZB+wkHAm=`Fq3_pq?AZNY+8$Lo@Gd^0jKjO&sT$#Q&tSd6w^ImFZ zdc4wZV{H?on5(v)%c#HYP)i~<;OpXIDZ3Vj$ILDxiZ(+nIva1X)eS7;J8U{OWmxgh zXhlkSi&Q|MuH%~+F{e|hsZWZq=L$VHG^Cpb%}(`k7ruHG<2*SWr<0T3kYS#@V9}EH z>819yuDx~1$t$-W+ZMPC9!SJro_nja~Z#Tblq{RKXw(9Q2Ph=WX-=*&o}y)1utdmcpEOEm2&p_ z*g)fBOd6+%h>mKU$~zsq<|rvJXUVrFK%XLHdz~t z=z#Tqgsk&e<;UxpnD%mWbJxVHpQIQ5;=W`R_H~82)#9oALPC=8 zt#KHWEeB2RajC``Oil0g9$%b!f6cZ9&#&p`IrfaVx&^W>Uc9*D&pV4JKY6em&@WmM z6&>A>=Q=rj4lzR$la!M`@p-uy(_ytrk@1HwM~hy)x= zIbHL-(Ey!+HEY&*{{8n`#E#J#bv+WThrfNZ${hUs1%bT}J4xBv`dM?|yLazAy}fHg z-DYFC3%)D075mi1C`K&n=SB?FFZQm{bDKFg?x>-0uQo|19=p-_x%&dgnbEp$D+JGL zV^Wl(<#-la+ICfj)=hrv+OTfdA_6nUMrmnjar}I9msw1x+uU?3$*o8d%X4{Mu*wlNt0sb1Gcd$r z1vbi`*of?hU~D`$J0qBWQeIxw**SNgc4ioMP&c_hW;movuCCaJr7pEnG#)ctpErxS z?0bJwtj0%dHU|HGs2RV|_rK~{f-Tx#uPH1nj6HgNS#)}Hj$N{@(*VDI z_i4OyO|FBLYK+1W%w9vPq0fmB;n-)-4wMHUR_DK1Tixa(wvQ5bDkF*gWJtn?4;n60 zJ&&pVhIh;Rxat!$Q!SZ{r(f^%xi=T>FZijXCC}+xYQ0K^nU2k1lja64mA7~ivX`)| zdhu9qv0Ky57A|veaM%#%#+Pk3lyux{OAqRV8th5q+}dYG%9JW>-gDW>s_|+@$V5d> zifP8GHoespJdFz0kL_R+*7pfc1QSeo{yv@TNTc`B9rb!=&prxq=wt{MaZ)40-5u^h z9;C3S$oN}ldC`*>WSx3#6{vMzu*j@?^EFKP+pr_q_Fo^dzG-gOVG^=d@MV`bNYSvy zPz^L?DH|CXEnBussWsmv&3V#NHA%bv&~e{gCj(gb>SU`RbyFkXMM#x4HlCtZ=Q@1b z8dt9Qxvh==?5jVSL>yJ9qW%KD}7XZ`SmoIz7~R_~sf7UALK0 zMxWIw^(IrOQbs1bLS?C-cEZIw#UI?4v_-ucrcqQa;`Lhzd`OkuVkz9H?Q**4`WA0tX-xDGKR;;)suDe zEC=|6g|(GB72YD@GMtg4&KArK&As29ocrkcb8$-5BgtE4hr|(2ZymQ!P)`o&tPBm+ zk1kuc>qK`}SBSE-^xtHcQ+(Nt-aV3}^6pYKLgtAqdwzGrHbkSKuKlglv7)W!n?I!> zAwD>4mxRP=RL6ecfXX^{xwj;mc6VR!ViD6_uwa41jTjV+G1^&{Q{53h{Ws#Upmbk) z(5qj%^n{m}_kd}`0nJ3U@(28-6Pjhl<9PS2V)0_L6Z+nC4qrb@$_ERn#>U1z)k?&Q z@Vv2#i7S58?fnVz?zkud^I}7GG)nEdX1mrzlxpjz4$XWmW+}2%bGM34uqwu~PtKo; zL+**e66wS4=JlT5r00C*T5--`w(Rmv`&6)?tVTu)H|cfH%?{16o(l;K+^3_21u@W2 zc8}-fgorhnmaFulPo}?^p&ov4z=)b|-Wp=wTsV_YC&0)4ZUNmoVG)sm*$Y_+!9Au( zNvxb!_L^puq0cn-kWlV59e{Oexgt4x4U5ajT_L-{1XBH;2o{QF)}aOsHs|zp1nO0M zy)$`uFjL}NSEay>FEgm@t_$reG@boES>*45_|okq(DG!tk5Z=-kHPEJ@(&KYu^+&? zR?*VZ3Ylqf>`Qzg;*_pq@5h_G_C(OZ@_P^4QN=G?zI?ZJ^I^NeYScD(ISG_ms!2YY znJCNwgm$!XT|!BA<;s<1c?Db7tX>@kIFhF@*CD`AgYfq3eEAj%)x*O>6q}mylOhek zNZ#7Wp#J$}uuv3YW5=n!NQ!U&iwM@NtgN2-2y&s$-FFWqh_>!&q)c8Lo}#rbQdt8qzLa9Bj%GJnm}m z+GbV$9T^Q)V}XgFYMs_reV0UtE}|P zr$Pk)-raLUbTf*{#1vtalFqxvF{<7-Rxq4( z&O2M^d3309!}pQ*CyPWpMV!XUc*13Ekuz+^S9Xny1nyQp;W9l|Zqp2;cxK!NdDzOd ztEVUSlzE;i6@`_VosR)VcFk$P&GbgsLr_};d5hFiMcz#Dh9M3`_rC1ruCFUDE^bV0%ymdj5kC9s zZ$_30gRdha)%SSxhnu7<3b>z_dv8ymJFPS(wqqF|gA9^(n$dgqsK<{a+N?|oZCUcnmq(fcBEPNr?4eOZmi!OJ3 zO&pf^W(o1}!RDa0IMskFAyM~Sc!Rc1N*r*qAE=6wy*!X((-#dSdyHxse5sfL#Z?@3 z&L-oaO3~>(#eeW?nzcJsWLHjLp{Xb-DJ7k01NN-6vcEX?1zA(DCRtCca>gICqH*HH ziGu+?jDn8<+bBv`m#kEYmb>rVH#Rb&f~B^BkujmY-Czd6`}%`!uIXdqRLk3IGg~@J z14jpQh92}DE?BdCa>f-yb3o+oNfi~pW)F+HR`vV*20GNQM^tqIA~~?QHpQf_AD>>> z)c@xlj9IPAA*$sH^|DHAiw($F_-f!3L`BgmDHfMVfU>^)=|N?WRZJw_Z0dRTRnkVU zaa8@BrLRl3Mr|ZdQYR*`=;{5To+(?+ahHzhu=v9It7W5ZUpBGs-CKUoq3Y$!ops^y zbx16CfwBA^Jc#@I??0m=BM;3u_;_vM=NehvV_q z<=V4nPu&}90>=$m>J63mc6S}l2uHM8-LS_EOaHQZYm(j9&xJ=9`}ZX;)OA~2skv-= zx&v8G$g1=9(W6I6dJYzK(L!~~H|Sd?k6hZErT5lDR99D*+_gE&H!8Dr)5r5t?tjp& z`~3NHzbF&;g%}N6yCw?{l<<*(dam{NY!phqM;IgeYUMemH8nTapcYxlB&0$x&CAh^ z>>oRKB|8NU8~dtn<1ngEw!AkP!uqDJu1=$3Xqv0r__%GB4%3^HV^UuBsO=^aggN<| zR8Ul^Cu#Fcz2-iY^{Br!qkg;;3;oY2hde!pm6vlv?zcVMDpfi6!b~sU*#S#MGmu*^ zz;E(UV829ka$VSwMZt$GcGMA0>50?63$A6~U2ppM)O{|zwPE$@J3~wN1CGg@JX!hG z5oO_5$Lq^B$azhD867R>7vK16{*R8mVKU3=2sm0<(ls=cj1r2AgF~9sBFH6X<8rB} zbq5;KWC1%#sW;jgWG*yP_I&HiqKV@M^pf7%JzOT4*^1|VE{=&AGdXZG-krI(KKe$# zy3n_5Ej6usGx_Dtl@+cmsiAy{T4_p;PXsSZoAFv9V&3p9mS<59;HF}C_$z@&VXfSc zPlnbO%*_lju4Bu}$%#i6${t8>tWMD6YX*SPdTMYJEQDudQtpi}0k5!r%gFjYS}PZ) z)G1=UxcQ>rR%})P-L2zQWWEVqM5;R^*Dd2pByFMO^LHE{)L9>On05L|bFRUhwP-=S zObWk*NH%Wk>gIU4fJ&xfk_%H-zddHv-9 zIAh#fa%OBiJ~F?nzl(xpVQ$~q_QL+lKTEynvJiXZ@AF2z68&<5t66s3TFM=>gHujk9~^yKB!nib&=MtOyo&E3ZE3nIjM9eH{Aw4A`*+`CSO97xI} zOkX9#Ssl%>zoJMrbb1=tuFYbjT725`o1qWcrX8p=leZ^t-n_{ezKE6&x*a|RoL@&k79O>Sgt^hH842OFN)@{Y>nmpfm=CwkL`Ow+IMCZt zauK(0)BQ!aSfju-@2kg6RLz7)c;Cp3Vn0I4rS%9XX< z4>!sIIX7(TJM)eS>+0#Lz?l-oF|qYlRuf-7IoBPwTtNUqn@=6?vvKonK3?8un3c9Z z>O=9J)8FU?%$hV#PxqV3^u1!KuZ(!%S_!7X@aFZ-&hntGJ_CYov(A^#upt!z4J(5l zs*aM~q0r6yt{hVQ)$ej9@wGoxK7qzD_7PCv^wiM zH>Vn&d|cbP2NWK!=zfh1vtZD0RKrGajBP1wN^e{%k!R{KB__@y;0c^7Yfx_yFd+j7 z4qyIDP|GJ z&84?CajU7Qs3gr87#LhYQRy)FII;!dSknCucWv^snW<4QWT6&5tr*QDfXYpAp-ATO zfC5xrj|(Rr9H6A6qzE=hN=o*SQu%grvfG%>SkDwUfM~+@VZxfDSPE?$MJ>~PeUt9~ ze0;IBHv?rTZ(LX30dow7?v%HyZU2XG0GZh5LQh$)_U-E0-&SuJ%FjMo51In2JD_cL zcThP2l?@`h&4Im7xUD$u3MS87n{wOBs|E#^6;p}ha65%mI}>*vVH%Wp`Hf`J(eRrqSmY3?-Jux5x*I!Jm+sb$TwnaW87C!*XYnzRgfJH7N z@1$%S&*`x3PT)OPa^asVi;H%iBV3{gfD55ezXcx|LFRVsi3+UFu`>@AcBry%zFSOp z&h2~ojg?#blcdj6uQDs?{Q=;0~0ij*}gMRw80g zca!L&`E}ibk1V@@N`XYct2;Vo1H5n8vLy}z1(&dJlLio-h|5^LVNu@k>tBIxFLb{R zN3tREL`{~Jp-uk>MdXrzoSdAB5Rr>^Hcvr92r|DK=;&Z$VPTP!lG+VmhSEzFt6vpt z-%1AF$hZ9WRdHLwPyiIwVQtmqyEr*GI`)DW!6OD*R4M_?@|%2k!q_Nqu~u%c*0Z;l z7cKP*2#ChAAP}{VFq?$AMpa5!|Hv|rf0FeIL@TwP&M8g<%y3~-gLqLuJhoa9TwZRP z(HxCOW1xSimu_-D-K72z@=ome@&}$bZ@#MtK0Gjc#}&+!_F3Kt0OCHvD1#QoJH;0> zJIR3}cpGfj!g;Ik5mKfyw&#JQk06nCz-ODqhFl&c5HLl**t)lx6U);GjEZq%dLqcJ zj!&P$LDLxF^@}znEZe|!0bAp`V}d7N6Oe>$S3MTodK7$kgg#ITHHfQekSf5PRDX!Z zxHx!RpjxTIiFyfkL4WM314e9_!c4 z5k>uiLEH~8JbR-Le2YhCMQ}XPBS40q6dCm+91y+ui1E$r*S(sA z86!35GDHr%T6KgJy-iP*By!+;Qi+0s>qb>PJUpy)pZDBwu8gJ<34S}o7fuxa_19l1 zIWPQJkf%X~^+g5hW`DYW=v10<6d7C0jvBZ;5Q1sQ)Y^^dpmV_a9!XNqB@_dyX*udM z)5e2Hd-9mVOUCZ~)v>VqyJtx@UU~hi`SbK}8b7rh-@ZO8OR4{nGKxs0vvhT6>(;y8pni8%x?_0%T;6h^VQ4z`G;Vq0c zHX{H+UX3cewW$w7iXEufQQ}{dZF3RgLfG>!on2jz@c_nPMzoNhNEl>eX9qquHhv%N z72?>-*=$p%v-rd#FyIU>-^vAOv>2w43sNJ#w5VozYBsPMR>H-};f{uUmmI=kq0T{! zi39#boViMt8cmPTGmJ-RMPx$=pps%UBfbEJF=UtQ-7AmeOf(l}r+%I`9v*>3&?E@+ z+W_WREm13qL`i6S;D|_yC#49Hiy)X1$#X zCH9_5SHU`{0eQTmIXNgOh`iV6P^%uPXYu5t;J165vaGN={0q+|Qg`tme_Q|wM#M)DqbiA7{AuQ`x)5Hf6Ej-k2m$fDL8jMbff@V8 zQx+mw3`Blch|8)iwjqC`3q%Shf8IO#AO87Sw`y^iLA}Yra|T~H6x7eBY1#WIa6IIT zIt9>n^k{`FwYNHUcYMuc=%{5y*pows3K|djk}8eUUY|`_|G}GXl0NY6nfLy?|6DS%s<)Op|FUZYwzBO$kHR6&jppIpe2*qlp4ur_(BD+>hYkD)spLlf>&RBe#pth zrOL%Eka1-ZtAqx80CaTG(3k%|^=D?FH6D2V()gMk@ik}1wT|DAXJANQ8}}!jdzA-j z?aUs{#Ep{^e!f9LGtYxYMpj5l?OMBI0p0$aKYy8(r8(M?F>SM5_ykp@G5HGnN@LFW z8Zv{=Sr@X>ePn4nYX9(rN0Fa3rrS?T?$IJLK>M%b^Z)bbzs8{u77`8_Bwn!4_gyDD zHlZ?8LVO(_8&iXhGV(#+Cl(37(#opTY8omVwi?I&{R&V+6;MpasU^mNdbj{(&lu(D zW&TVV7BajF)n*Uq9FW7km_@W8Ij1F(dV7X!BKI8C-e8oP)uj#G@dLFyc$ zK?1fbff`5E{g_QQ0K08-W24DI#PWB4nnIPUdwzM5YLv_d#2Pth{0dMN32_1*9vr=* zpz+VI(lqmQ+Ey^xxpk-TSZ|Figv>OeTEhU)dvjNa0$enMsK_bgs~}Ha$e2MOeg^*w zMJZI&<=LfAM@8TTfSf?SFAe4#6fp|a1LiHlh^(AaE0e00k~cb3D!*o12H1-|;DT!g zdmphPyc-XkNSDaq4=M*5KE3v}w~!`(%Gp zR%*(3l7%%wp;n_(shr5hk|`PnReQU`akRH1Clr<1=28H7>#X_7yl>{Isj+kwV@!FF zz;2WV&^o}hD;K!VsGxkfe(l-?P-Q}v?SHcxVT!ZoW~aSOQ%@cv7}t3m9u+U`467gO z0=J@bfR;``hgRmLa5AF+P!}pgL~KpT0!7}62Mn-HE`IfDb14>IrJWe^HD3Uho^}#F z8N*A_K|91{?n{XK(7Y(GwCki$1q0A!qdKYqgVi?b=eJ%z3(Cpl;Lho({zieA?-M7LqiMp?M3svW5t$R3z7Tm7_j$nIYxp`2rGa z=Vs`z&jel|pVSG=?GE8^XlXeooBf9$??b-MtcH}~k?*Zflg%d=N=2>TpniDOC6|YM z9D6G62T8=z-+?^r`04s4>wyOT$*Cz)EfQ5YB_CzQgZ*c&3}$sPL&;V`UAF~<&_RIwTKN^-p6?LTvo2C{ghxOO|YTskTe* z-sw%usX4Hx9k}pzn+yC0MAILoyNrrlIAm~l@-V6qPuewZS?wr(`~|*-%xjNEd^gp zWrg3W)P64r+}45Ae~HW!ZI%ICMXS4a#83yHzsMO7HPnGkQQ0Cx^rlVn?n2tz_nJ*wzvnOi&f606H=c@-Oi7k&u^nqezO1xPFHABgu;i$e^d5oDdj4Z?i zgqr!y`P5i!4#dHLrslcv#PRNT5*V&(5S!0z2egO62}BAH52r?c zZ7U}HsbKG~$h#-K|6~+*A<0BgFZnCOL#Zk-4gh*IZq9$81Kf4ohdB{-YiHKXe2P$M z)0I>oh}e(mx9*TR`p-(m9Zk)N!=rnX(=e05ONXB9R302xJRuBO#8U;ueAb;PSO?h2fDvNCOUV>hP zHNJ)m?4QH8&K@KXZx>pr;ePg$g8K@XEA8zw_iVfcCkKIEv1eZ1phm*|Fartoc;iX2 z85Q%~uQ$LgKL*bsTe2byY1!M4_7EKGs}{dT2_;J{3FJ-&RiTCD>|gVszJstepy)LB zY=q}S10*+ZI`UgQNhCl>;QwFVrLA4M!dKyR4*ef^a3vvP0Cd3{FMYX`#d&{m`t0m1 zH4+r7kP^)t9d_@~`fbVDSvx3kV4u8gAnWi3G=f^wcL5@1dvnj3_Ff+w7?<7Ae9Hdz zjU~KpP%yNqkRln{jP-3{Lg1~X)%@C_5(}OJd=o5H@gXnYs_O(E3{L^^^*F+wV7ds* zoUDXQ`~77x45jB&jZljg<=yV->6wB|;B_$guw6w;v*(80*54;AH1`B(C!e4_u(nUm z&aGk~JMl&Sp!}-~+}sG3_Mm5}g`UE8Zq-Sb_PbKI$B=NUNVy1}r7aEY(&67;xDjX@ z!=ZrHrwmz?_5JqX?!l;qZNxiK&(U==S#&b!NbEbP|?!(XZZ=j~mf zZ7dP|555DCDiK7UPBH}(a{J2%JXPLgXOQ>c{IZl|%wEWOZk6)PklS4RU+dVr5mHg= z`xX=wz-s6hF#s!KGQ0ePZj`-m!D_&Kp*8RR@f!9XNhBLTR{a1~&Top$ znoz9PuUWI5q6NWb6^m$sdH&>aFd>qPw5fXjhB1GsC1^~N9M>=savgrMeNs8FaDxwi zHz5Qbf|#r#=D%b8I**0zt!{IP-1!qnH{O!OowTy8WAnccmufFEz;YagW2O(j4^`wu zHp)_Z=4wzEjGVNQQjo(61r-K~E*m>fbgFyjH+ti0ygo{Fo(Vah{%}wkUIG>)@n>0K*BIKJ8betC}5$+~}KvevKtdLcVhwkVrG1=MKH9K?#_crHb zOpWwJpeT;wuw6+$#=$PRc3V_gmmu8NI`CwwW2*P*=Ei`Jg|&k?3lY?F!@DHs1BJxh z#jpFDnwnG|pJ0MVsFY|PaR+LQ?2Utyr zKeTy8A_+yr$%%j{Wk;)b5#^V@MoR<-Albnnd3*-!Ie+b5&8Nqp-tW&(g5S;A*_o9B z5}F7x{&((tyg++Q_p=`r+?!w^$8c?=%%os&F(|noL7sq)@TZK1=@?u+Iwaxqz2&+7h(@Nq=*4vQ}D&M#aEvF;QuL z1cIu_o4;+N;cyRTDl58TdPs#pfDzGAU|0(D6Kpev`NwMv22cVRh=~?agQ5h()vw6V z#8jUNEUfk9^yP|BvE+{*PlI^b+K0$QC}Of4?FUG64c5Qcmk&Ungb%;F*76XHuY_WT z%^Y>GY{~1_3dr=;;Sx(>M$_guu6}LR_d&~xtX6qZqf-f7clnn9sL z!aOVdQi%$>hLu7jEI&?VOOw8~wg?8k^U|bSDb3&wmC^Jk#tk^T@=nDi6q>}-t<>pX zh;pr?-nRYqT_U=NxK0^CW09c}Bh^T^B1H){s*bic-@bHW=Rs}EMuCL=9Tx)dBFb6^>=nsMx(c!Q& zY+`?~S*Y$Md2Yq+TriC6S7bRB@58{rfIOoD;^X`G@58ws?TAH1mJqy#o7Km{Q;3)4 zN>Ka=twyM5|FS3Hdhpfavnd};+b+yc9jGBXbCUZj@08^S|GF#Ui)+B!CRlUWcJ12D%d3Q9R1I!btgq_C zQvzhatvZ>o4w??9)#v-b=SJ9!MHe+;;Z8#z9BDlx-4SGL^>x%<`>A}Cv-_{a89Qnt zBqrT%Q`j&bVJHb}7N-z?g(tq-OGf&&^BpShoXYYu)6!Jt47#txaOaTWFtzpT zr8Is28M~)BIW;{65vloZ^z;Hb`giZ1**(Is^E=-cC!&~GSy|ZsdGQQM-o$M^HQM(W z(JdYfCFz1R%Pc@(rzqhWfWBb5Hz$&6(GJbjzzP(@>o2_?{7>4sI2u=-)OkdV1kW21YA zM!LW-o_SXqFXvsCpjO-^_`JNd#?|)Y)FDH&RfWvk*m{z329*GGh#w!WUBpN*Pe?z( zI`(B1Fk%zUm~`jN7V5C=%OlA;Iqa4FbC!C$1O@9gDq1R3r!v$@k-a*DAD;8ikE61Xy;C5+jeq8`g^_*?JFZ^2LVCMAroIjj^9JMq#+o-G z*cc%_P$RLHXwMhg&klUr*m$^dAT@-Eld@sA+5vEDK3n|*is+xl%bu+K=yEjtQpLS4 zJde{}BcqDsy?s8{mw&PlV%nmgQBmW)QhRyVQgEo9oeF0c-A%n=bX-zWu=*r+hF1sX zsH^edbbmB5n*YBe@zyTCgTAZ4Nay5d_brfDKwld2mdlU*W%zWg@!ykqcj+dHZvnA@ z6y>O2C0tOygVhT^z^z$%+b+t@oo+9|5RvaB#fdw+%*w(z|QHkR4V{)Ka~B_bx#z?C3H>rf6?CxNV!bQs?c* z1St72ynqwK=F7(;rcIfO=v_(AN#-quAKkjMjDeQl2mZz71EwS0ZJc<0^ZPTi<_3G_ zHZLH$_aGh!wLrRSi3eZI&DGne5~OnicAPAg*>&O!^zCvD0XXBCgzXi6P=s(P%~lS6 z-Hck2Fov|Cg#M@sMUS6B<}*TDT+{(QuWqiJLKhcA2QCT;c&N;MBbNNk z^_u}N2K2hB#mR6mw@Fn2mz#F zBbmq~8Ug?nM4&<_fPrV)GLPN@t~`(l1{Ek}a?NZm)en^@VVJ(2YN*d2sp7HAq{`s^$ zA*r*)X{ZJcI46llxaLV$CqR7Grm%)ppz3-gixamSQR#RMS2OV%{7vi(UgVDIeAwGx|F<%6O1o8&nmaV~V={nKWObkP0K@rXiA4)_PF+y_<`n<9~X)4cC z6vg4&6R@8ANn?c({CZh8iu*7$vZ&j9bDYlG>VT;Ey|9K>hb>O56<7fVjyZVTSi~^^ zOVaE6+m%S4N>uBvV7rZujR~eNUcUTQT{DJUuTg}XnN4S&X!yfpp#i>G(*wv zUnKqo9xGpH5%!oKfm`D2TyMK0hyO#D0O{L`Gr$Da3rwP{l{%OIz7ITsR>@~s%n)M(}D z`Ji2)Li23lWtEpb(byy8I1-~gMGmK+TOWM1dC`3rHB~8)e>(&9?- z&u;%~Qsg=g9o$&h^?PP)#b9RJDzJ^PT1)Oce*03)e)4>pU!q8oj-3M47a(9n-(Xb+uHipDaNz#4WK=&`+`Z_OV_;oipwLm4)? zU=$tSKkLaeDGbXkehrY-R6lQ&(S8_9hX!mp!#dg)yJS)Jf=1E&zjjp=Hp@kjE`L;) z%JFK6Dmk{MhIO<+aOp_&!gg4Rl2G*!T@s!IUS0YXEBsiAhsyYE*k$EqvN?U(zCs#n*Nj$~M=>ac_X>$c_C;8Jo1K#R+G^H#3spd4UJ6nHkjASdo+FBCMc z=5TOw0&`qH6WB3Tw|ttWls_N6pS@5MuQh|lV`SfaSl5#vBb_ra=mt%l8|hh+-y1ozT~6sRT0t) zNpBRo;`SzLq#OmBDeBYo>6Sim0v>2TVlV?cOUw{&$q^BRXDl3?54+F745PCi(n1f& zWCzjrU#IHS6Ewo%#=3yo@Y;L;WCLO%jfJxqj&G$ zKy7c~Rv_M4G=27=hwm-8Lp_gzc^2gx%4D~>89OMRCqTF0n20He8N`*wI6#yNlxKaQ zObE}#5B8k2!$Z{Avj4PrQX_d)I_+B$m6y?A8I>YzH>jlIyXVBg;M|(5|WL z0=EUr9DYV*4YznuQQ{Ogb z=NPuQ-skt*K)!+|WFXZBu)=@y^lf8^kc|u#u1vPyKHCn@FdLXGyedq4FGg(PUnibd zJQaGmdVk9T{k4fftUY-32Zt;kL5x_|#17~VwJH~ME-M9UEGQN7wcZF~Mkx!wAr#6GmuR(#e1?0;LcJQ~IHwqDAK6rzthYHP|MP|GBz! z_r856pz9Ko_Xrrjc+j*Y8sl@Mu^uBq_$YW>eNiTn#6em=vD%bggzvsXwFWKF6J(yR zh=Daot;he+Y7&m-Dq`Xla-MiXS`xr9>AL_vj+P6w#$b&}ex)(DL?ct*mfB?7Xi7>M z*Y97Y$btaDsRTQ_&Q^F9`Ar*CNCrV;jf;fOEO~o6zlS^ix}(%-#k6$A<}kS1Ip8bC zpw5eI%CHxxrkvtQgb>2PLWMnlX$A`ci#3#E0oFKTmoSPIo^b;QSu-Sf#>GXXk%b8ctV_;z{2DwwP6$XsO_m&MNsw-w1V#7)ERs z#4%kSD%RS;{{E(ymn!OVs3_q?t|1yph$*^L)?+!KxJ5(PQJBO?%O@Tz977j_-Me_O za^3{t{-{&IeUEbV?Tvdh!tgRis5E+83ktRfm?c0~qpb@Bo~GvIEs{W1Oq@IQAkjpl z$9I{@CTOd$Yr`-6VQ}<+#-9-2hj{aiDW5D=E>@Zct6cRyQ}d zm5hfJa1lAThK+*Cjp)YO>GSrHjUGwj-blVNy&RTkI#EFE1iFjFhTqAr1Vzwh(F{7Vvad*}qL>!m$VfJSw zZ49_YRyx!Uf0X0NP&!FnZ~IUAPg{!Rg+JqWdwP0S;arRDG-EjIzJtzB!TqF!URE~lBRQ#&2Vgx54yf@S=Lb_v7*S?C;)AE z?rIP$N*@o_??S6i>iK+A(vI0@`_nV0480G84G}Sk(u!J~^;|`faf$}8_1R~Q*!+YX zUA%l_H>AtJf&w?ieqHK%oO^^ro=z!szOBLf3u@TM&R(Rk5ABNirltP74fhlm7H0jl zv_SzuFA+IO2L62Ye4ln{X=w#?CL)S~xaD`Axa0z*AJwXV1e-Kf7wzD%B@-Rgadxsx z-aJs`V*sJ9((CICTL~M3!)FAVr8|Re1O?R$&WRr(49tIFt`gN`L;AD_eo-x;tPar- z6l|7vSV?CD?EZ>GF(hXL+2Sy)2SPS+iae)#ZzyzKg>U)5M4x0@Wfhqhlm6_EDsj7z;Qnee}zhx5)K1k596Y zBW3`^lyT|{njlB2l}|QbT1mWZNXV=dtVn`Pm!-LkeF}ptQ99mIhUKm==tSfA3=BT3 z-x}0SSZM))_}siwu7d|DJv|I;I;&(BRNQYm#}wF<*^nY5ExkV=Syx_R&58qW0zEu} za&s-`KGqPfXi)*pY8`bo!%kCK{U+10JE$h9to}H;iF9a$e0rC^-yB||Qy8Krgknay zv~|@T1d!z1VNW1Y($}M$nxxA;y(kHzL z4+Jz{R#nudpk=@hrQIGqbLI?=;VHFp!(Tu#|Jo7067%lQY8>%#)cjO|s|#f;)n{XE zxP-^;4uKZ?i05OF!0Hez*(g8GcY}X_r~V9f`L|#O#E@4SX3*49`hQX52NucJzT(#O z8RWQ~Fg>x1?~@nb1V}I6+Wy82?$&hlaZq_fU!p7DG_Y@8Q$fnngzcWfd*k}XB6R+p zuPgSt2QwJlUU!GwU}rtpK+F+EeW>9A!Dl^98Y5iR*RNl*2BDC+6s<;f%4taaW$MIg zgXhc#xs7zYp>%lPNPLl`4B>IQNZATbft6E8NDDGhrG+FvJNt3`4H{TbKZ+QgU*UJ5 z0UWuk6mljCWX0HN20QqV0SdP2jnn8i&tu4PL|>;=VH@#-{UVP=gi&mz5frD0Z_2-X zYWo`J;o&U_-|hqG>mu+Pki!Oo!zc`I(5wkQxqT4oD9)&Oh~kz$Q71omv zwDX55!(qH?sWhk6(Lf?c!$0(F;i5&P{U39&8&g7LE7X7RG9)58#oGoa9~Uw{xK1mHzf>wlqNclc?HZx)NE-1aB(O*5f@;?QpSOZ zq`5~Y&ry};jK(1n-NclD!&C--lf_pcrGmG(_(w4z$k7643<@@B0K8p15pPMAs-#2> zahr7@iU?wYO(YG$fr>#g#k=`Ge7FZ-7CxdrXe||d(9wWb(_kSY%Z`@bum~!CGlyik zOxseF@S6M%!v@NY8j#NM3J5=o4w86%KD7tURli@C z@Kyt@T8J<(&{IfR{Tn6r6ozwZB*NSV$3}2*6yl+1`wfsdLpdct$)-;Y?Yw%?8Mj~* zf$i;FiUv`leg`?qCq<&*IO2eO4sn!s!wx9*2@q;dpxz{hB9R3A>w4wN%fMykA$?du znvmM%!5CFRG>#>Zg~WKmz2N*wX)4Z3upVp@B>FX`0=+lt@gO$0(G;x`UM*mtuSN1g&Yl$V9mO`;0A zh~f?p4{D6-RC)s9)njZ4q^0$$UbOpff^$O~w0w#%xC;RA6R0m%ZJK`*5hO7f@W9)~ zU|kZ6^N98pK2|ycnn;CGd(Sz(RPx%uOQ<#NZ?lG_xYso z8!ADU=q17NpbIn7>P?DlX(Lew*zz6ga}*Yc_H1AW!76_8i|2)KBNog~U8LN9sQ|}Q zBI!XP$8NyRan^W(i(C^nf|$*W#uD6~b|MG2ZrLRj@|(JnLyI5J*PlZUMp9=qEio)W;3J9;9+;P3wjr>Twhpe5a1{B4b zAB-U88~&K}s!Zh9bep=~?x9gA?ry8*Z}NP-$Bietx%Mg2o&@IJ9hrxs%wWnv*)fJl z*35Hit48Nm=O!8?4x<+WV^q#J2{>TcO;PwPeA3MJ+gu{+gdc{;(#iu=b$E)HV$1} zDRd6x_%+K3LE2B;KP&E7Fbsn(5&ck4_aZ;8WuslY>`i#F{rckwKZG>FtEiHMkA8vM zT}Nn-Mf0;_##aqA!CQuqWf4Q$R^nf=0vk-yx3;AJXsN|Hz}>$^VT6?Eo^+rrJgh26 zETTP%e0{YJHG+)+jf;0b3r?Y(!J9k?^6y!nue3+<+xK5N>gd7CP4IFl-?{*O`Zv~` zk>~6+yw3l^nlrsmeIhhm25Q{B>N)yWjML`c3Zr@C_KMk63+dh%xSJqX-RuDKf$65ic?>?kYUYXkT1$o5Pv?_hf%=eX8imqN@S zm~hqjO4JY>Xe$JQXqmPx*mtd%Lj56TpG(sMGZS`n#hE-s98pt?z6St+^OU)q-VeYo z#9T%S9-8kiTIWxn_dRd#QTHvP)21pfYA0WX=|@>p^rtttg*s4GP z(J^e;5CvZj@eEUE?P|WF3%?rmV^;5<e6CDSo;Pp@g-=#txeFhRc8XOLC3A5 zEGkVKnakupbakh>#Bbn`MsgptPpn}~REsBmD4dEx;?Ie_G;=sjX$TQ<;t~~YF?($c zcV7pZ*}zyfecC|^BaivI_)uUhG2ib3kBHa))YSq5b>Me zEBF8riGL{;KNoT>bsz2V6oh`J;Gciq3%Q)i_7NS8G(_T{02Cx}BpQ+< zjGEhQnxxebOufJq^X=BESi1N5p-ey zlm;5RK>)K+2-8E{y#)9|^xSgjQW()8KZPxt zd2A^q*8S9Ac+sHU?4qFO^&L#zdnwEQ`s*D|z5=?W(8_Pj_^nTJYw`~j|D#-#>)K#a zDQ(Vt`W;)X$P%EQ_08s4E^;bUsonI?4oMXRLY=sI`Y>9_ZE;lsR(KzrgVe}IvmANE zk3iO(n-|a^f8U&?-q5W4Uxu#{pFi*5gaXpf<&_M{*=WzNj>n8pSLqzq|egKFK1fpv(+`FH|6EV<8EQw z9`a?C4%vf?DVaT7-`w0g()vyam zo7?n^Bx_5TrkH03T<_@UI65vFS~uK*vjKvFREJ!0^ftZV8}dpTP(R|kBn`@X+xIsf zc%E~~YlhBul(0hv0ii+&BaL&HMe~FN;&{R_vYZ}$B}|!2WeiMFef`UidKew zbxY~AX}NB5@G38!D+uf2idnG>4d9LiX?sySoJjWYof&VcNWuZnJM|~wD3}~$S-bY^ z9s!dNZ+{ZM*+vW7k-mu+of9WdPzkWxtDCCLwN-XhaBmuysiueZ3$Xy5O4`{gJ_*C*v0qINuXlo*xLLc$nT?n@-_^( zZnNK5V7Zs2hS-1pD{rjf;$qQdJ9D;6+>oZipTh4lWqr=zLu=F4b?YK+|y%_dtT>{+VT z-ltl7ZIcl{{9rE*_oVAW$;qKQv2+XFM`PmsbuK}2biJhK=y>B%#JWj=Wda)(vbrl> zbqiZSmjt}?y1YDYJij>^-d1X4gX@L^Mhdbx<7C$5g*?tA39J6da)Hi$ch0X_{HXGW z^d^5O;3(tppK0kunI|JBrvf`!%_GU>wJd05SP+dpBbER~T~6_xgs zwIWgmCuyM#l~zlegtV%mEQxZIWNA@p-?R!NsT4I@H7PB$sDuzI>HXYi=9y>Scb?~Z zujjqqbNPo$%Q?T_@BZHR=l(4Hw&?TYQF)mx5&seJ2c_!4nQkml!TdJEdBR>Y>1Xk zplxqq!HvMsqK5{Yucsunio>v85qZL!qjzaZYDn>67=-MydhJDGt;jSH@u zDy0^{=-0Nj{r<)J6R@+s)&fjG74D#RHaKbzv+s=||GGUBF9CYVZpGaoZ!9Z`<&m<} zU0`YKsnuT29{%Tdos@0i?o9eCseZ5#YO(8tcOgHg9{u2p#kS8MXu zPArshI9Wb8HNIxgkLyySfCAlk#frETy^!gCH1}~*sS;#3vR#jL#U3s8Pwe@M^%*>5 z)d}`36c(3NH|RZOn%MQ*yi@h=(c#n1Z~d;e)+={sMzDdN(b(kp)rK0!3ufvD=W8Zk z$@{7#sK)TD9i)v*jLa0Df^H zvuX!}r`Oi83zT6aXBe)5Uno{>qXk>_^p;;zKo^vE1=oQgF_WV{s1eQ#=5uDwd{XGb z?pE~E*kJ7~UJ1+1X!t^U$c3Tx&mC5SBVG9bMLaq$spAO0^_PxA%pM)bbt@72=JfTr zPaAsqnrr7E`8QA@(=?vc@o$!fxf?FLn~P&>{YwMg$$O0AwZclfILAlPTr`V z+$UgR*JezvqO{V+ppGwqGZC$_!DS9S(ZY$8HD6Cy;MOgsorr|wvVs56Ow4AD{ z5hXBzSb_U$S0SZekW&tMQ0_i9nut1=2r(a__ggM0b{#aD)FR#Ed+u%X0T09bPq-@w zX6Q6~1GBz?P0fDTN3{==yTO=_>s&2}iQ`Q%Cl7ZFt|5_2rUbFUj(zJ7l)o|R*aD|9pEeCW|GS!C^~GY z9AQrHst<6i3Sb^)2&_c14j30HAizsoa$D45FG*5oOpMqy)he&q(+`r9>z$#M%zCg; zV6l_`Qu#+^dyFgbn6tCSWJSWKEwXNNzbI*!v8>dj_y9y{xS4hJxr% z#~EBj$uY;qm>^Gvfu4t*ZaEFiw=eB%+| z=a(kdgDLQ>LoV=R^0QN4y7ZR$fOZvu-%YuD4G2?WHNx^n@>37?1OI}6bkGXGN!-5R zjc0DxeRKf9tHK=wu#e7rk)_h%_l3#Ay7Ln@pR3JPgN5N>Com7VDVPd6tmRnly#PET zZNX=;6&eLqdt#-I77RgkO^(>JOdd3m4dkDuCb-6W}Q(^ef|0GGLu{gw` zD-0l-Nb*1(l1qj@|7l}YfakCdrR5JJt2Epu=P#X`>mJ{?rVK<&(AFIFo_LouyaPqL5bhOPk2T`%QvP@~Jy5|+ox0vR zl5a^4<@fov?ulV88~2d)!|$rB_6&SC%WpxYiEZvrlt?s72qGZA{opTB z`($|)rG?DW@QImmnVfm)5pN?g_)wnt!+DR&?}lFoVQt(xblAIiKTknak`1p9TuOC46mI)YBJ&3HpnkqH9{O33p9N5KH{XvhSF+=7#$y>)3F$c&sNaA~4$cJsQq zz1}S{KOOAlR}9z3`Q_akwKt^76B^-6V8{W7%6}TpWGHunAyQ#K{}1ApZqcHm;y20Nq`_QIB{)JG#E_x-j~j#3J>8Egd0nVA&I$#k}2^-k}4EPKTmD3}4Pc@@m&;!?eYbK-UNEko{U z)26+q+m2Z3DR|n(x-S}#+sdt=2lFzurfA89Pw?cEGdS3*Q5RTjokqkofxf{(C;EU#@8|6mJMafSluZouuu6`IJ&F;~_G_jElPl@Ak3 z#x*yiJ4znbFcY7=4O-UTS$39Klj1S^;4H$+D2=^{NIA4$q$7@h*Ev}~q|`udg5Vgmq8Q|D3fE$H=&5oS_dO)V7H?LRt|)u-h^^a) z-a(oP1LZ(au=A&gb4+c12nfee7urQVl>Y{7#_|v#NNWd@R}zmJoheBS*$Ovu5`gW6 zLRYX6ZA55KIY?PlD5=f*CmP~dh?JLvyT)Xda|%s@Vg0U{Q#&2XaNspe;$(i(84P>pSesW0G;}w zB_e2vWGJ5w%?yR(K^E%dTN!4FQbFi1yALpw*1ZbF5xGRrH3Nw;a&RIHm6@Ujbz?P( zf^ojKo1cf&9?k+=T~n7JFCfcl>N{!ghq6qQAg~Bh$l!@dAezDM`^T;=Q>g)pK?T9uI+mPl0PvIU0m>7$ zSR4#)ta&aSj*_L&6uI|COJp?_3)1iWZq!>j;}1u-|4aHW2E4zg1|M9~k14X!6^}RR zE~NgE*lU?QbZVB+4Gaa$ddxdbNG(~EH5{V|UwJArAmto}7nfy`+j@{NG029&yaZMS z6n2-4xsQw?nUTAs&_5@zfo(jRx<$ea*&Vb&HH?KI9;}khVDr`k_Hnn20h_&qjtm&PH;_7<07hMWE^FcHU3XHc^U+x6Rfzqj5wUVNY=l;tD{`RHTjuTL@Yx zpcP7_)wtT084NWJ`uqbdaD1?H_B=m*{MdjCj@@e!g~pOgz}P@qRwEkSS4g__*$N{i z{VX9yrv<(5ur#1?#A;`C<5VUBG*Nw0Twb)bQR*f{jZ7BFRB$eBV-MZ9;&^) zodj>Rg~zZh(ux$%*QA)lCUxH2xfr$}ZWigRi87k+`w@vX!!ckP*dMPO$a<)v>=xxn;AX-`{l#GFtnIR!DM_t2yEphs6+i2 z%_3{|$ z2du3kyH*kJt_hz{{=rup$&MZFMHZRk>S$w0j-R{t>GOMH0Ds`;MCS8!%OkRlDBBk| zNhM*b?#J`Rg6|%IpDzs8;a^NZ0|s=Z0OI+|jsi+Jh4ChYv}yj%m4FUt*~Jzw;OLF^`wniM#^Kjtc=GDZ zkbyu6L<49(SmZvDf*y%NQsMZXfvegN2*nU3fx?ZQFx?~9Fm@E-TkPfg_$bJZG`e9s zx|xMD@+PWFDuy01#lhWu1Wi7G-hc33FvuU(c_cUP)<82ip3YT`2G~@Qnb3BZ-4m0o zcP1~(4yw)RJaDXy&+vmzf|2ebt8eo%I1S}%^E0yx+*dkZxlns+bn4|;|Hj^ZJ7&Az zo|d~YW2-=cc5dZ4x%C@*Y&@<-#O)~&I;AxwvZTpUbmGC=mXB^+|ZDUbsdB0Y}^%^{$0DDHz`O#2CDSf~V8d70W6rUf#UwTH4tu zv2)k1Vcet~4D9{_OG~wV!FhN;5)u8pe`pB%8D(!D9}WhPqFTrN)924upe(u}z#J2Q zY;tmC|MRMwhpbMY4zFM^H*8p@Yhn_?D~6WY(8%a#viz&xYi-Q{QCth{2XTt$2?)GG zP{t+*DW3QYjCg~8Z->>RC)^Z*-T^!asjuJWi(C^%03!JK8HN@XAyCPRVMVIlf%0vG zftwM4bJ7kI466gro{_P!RABhGZ@w6|)m`eG9UV(?PN}R}6Y}`6Zo`CjO;SoSW5B0cxCSO5HaMP3)fk35cLt-67oszwwJ-Xu*TO~H zgwMX_<*S=Cb#hX`{^IUfR(`(8=VMc+PW_6s(7>l;Nx9u~+G5k1)YR0#W&RTr6Rbgt z9cT!p)@V3`t^Z*ZJBU);RnlF&4D2UPpu|iqDJ$6YsAco1D_4XMA3Zwt@^ABtL5Ys+ z8^4vCYh-FV-TI}dor6PSYu}|;zx~2p;;{J+pRqhYVM+-}Ns=lmydd6}q4x~xK+fHw zyxqRTKehBx8iajQL(ZapH>8#}Hi7hrTR4cu!ntA`5)u*&$Vj-cD2+S)8y%mVE9?!BXgl!Y2$gcQYQW%2CTvBUMznX_jf;?DVj zQH0FR?!uENr^jKAa%@=_6B^0`nq@E;Y5E@5`lAIFElO0?nu`nc40cKHq3H2Cf<&%! z4FlI7qACS_?oN%)RJ1Ifhvkc)u&}nj|2mD;t5v~gN;-yvx^z(9f{Tae5nxRY26#KS zCctb8`b^B5yz#NIz?X_R9>h$h--FL#pc9m4Lq`nx1O!-V8wTG4(Tcr$w=I6$F@I+Z zfhubo_^zH$^wa*J&j+sQYD=-R0$zJIBE~eR|KVO%hYuW~k?&Uy4&|eXKr@FZWHc+p^uJyp8gxOs-DsK#MV*rBPy zz->wE)2B~)aJiNJ@3{8_o7p|)H`r$T&oXn;Q`*s;Pek40j^(~58NA-!Sx(Y(v~j;C zJ+ak%s}{`RC5c`nxlBH@(pz#Xf9Cl3IIKYeK7aP8`hpIHLQdoA_GJT>#8VNUnD_&# z$ssTC1ASXuXJ*a)sJ$U!`E>RTUY2&|#EBDPmXdFe!iwGE-KGzxJtGvM;T&|i*Su); zY7vBpEDSia>;w*C*0L+QvT|~KrFI)OOe5kx?n|xsIy^pF^=1~bdv5_jurXgLI!)c$T0MKdJUOYd6NS9A5KPPCK!%Y&`0twF(=Zvk*NrFe#{ zTDojm&;^V6kgpmtn z-@U(`kWki>T31`k3rOiWn0P`ZWl^_NtmgX1_w@8|?Nz%|Tx@7)DB;x{r-O40Sr2l) zR`B3+=C4b^Al?aXsJ64SA|o~_X$E#773gB?nww>OuGj4=bIQ7R5)+spD#N|^evr`f zcHZL`7hjSG-pY`B4-QpZ93h?<2c$c8DbBCz!>XvO zplxj=`$|g9uUm*u6Wxqb?chjl|6#!e3(Da+lw~FA!@OT3MY3y6|96?)t1|Tn}5&XU&V;7H-_Q(ON}N>SrZ&bs@MgPVR3*i`LlK zXpJ%bD|&UvDu-cGa-+Cd7?T5TvkH7O>)e*w*4DFlXzO}L>oF7APz$BKvE97DS!lWN zY>W&6!@~!i+wTe??OGg0WJnSYz;U~LsCof zA^J!|OUrXuA$0+fuD~d7Q`lPf?Ac=Vt7=iYiKUXEYmNhinEdvb8>H+vNSFn>6i{V9 zg^`z+7n_(^o^rs^Q66Vr4mQFJUQ<>%7MlkmO1!phCT+jekpz~u>> z9TwnD#bz42*c@zhTmfQf5WpUKFB;e9z)KR(BIoScKW*DKH*cpBd08emIVOsm(Q^P7 zrbn2jYJdCfGc*r~iP`_aG}eQmSfn`_rZySuwPaSv*3-~QwC=g({F z>Ns*+X5D#l9+$W}T2lna7Y^`;7*G8z&0OtlZQUUJ6J6uUiw&H#hK7c9jyZLWxG|BC zEFmK^qot+g{qQgrZ8P6vPJ6I#d8xIEHQ*%H_zOTM$(flO{rofm)`p<#vi9^81b9{i zBd8pJCD^sz)>Igb?Z&aORVL=(@U94$>(a|U`}7=aJ@N7iq~nBMYf7oBq?ectDhT@( zN*A797dFvBNUuuCSz*8bw{AZADCzZqlb&&U{r`Ns%KIfJ?M#E41tSQqVE&}PAyeD> G_2p2xpK>u67^v=%zfX|_(`~AFL&tpln&^PdAbEPkudUyDv!$YGgn%Im^9v~sl$fZPp01wd#bp&a?ZdB!M!H4_F;r%HCdq;X1S3L& zLo3TG6Rsz;x3+t_dkzi^&P>hheb`%HTUWuV7@fnTu-Ygo6v>uCrxhY#sKWgE%=Aix zz~6-l3D+}KutpFb2;Pb^Gd_coLxo-nZEtMf+uqYQ#Ctk>Cd4KT_72up)%V=#@w?zR z`e=0P)fV0qudS)Q{&fBL_pyYS1OyCOo?AZrdNP zP7g{-8-I@CdBJb+(df+F^4{me^;cUeYT78Y3f_XGt!pG9g@Onm=qZH=Ayi>;eP(uL zXm~=x%}fC__E)nnEJ+^t?fgKvtLXsy{C7yvZ}rP&Y#z1u zXl=X&MOzmyA*BKlkN^T8bXw*pdqzS|+s`MozP5eq%^m_KQJ7yzaqx_ZO6chtTwYv1 z{CaGpi_c6iBw0{GgJUYo>l3ci+gp1)-Tej!MrWp$_dXo1uWhMdwT;e^P*@|BlnTk# z6Cof0;X%xdFQepCLNCR%H}>ppA9_0bCB)JPdq?Z5+I#K{`dtVeeKfQ6Y7cKp($+Lu zf4U_hhJt_*%X908pO5k9NJfTuk`;ww>zSESDIug%S=?TjT^|!pr{65pR>P~HwMh=1 z6nDS9562QP6p#n#cgb&Sdu#B~APS9YZyZdB&4j=tj5P7uSfj%qe-ABb{nfhBIU|ZQ z1tI`J2%u16Dt;GYWKZ~P%_)v%II_8>nmQLJ2M34jFCYh)P8f31@Lf>15V9}^r8D6Z3Y7bg})f#Y#Hs(e+Mq{ za_ON5nWG+e%XPT+_x`9xc9fmYC8g6d4J%x6d1(|~%d#kQ z`>|@-Y0I5jwP(uH9{PB0CGetsYHR3vSjZ1FiEC z4)A>fY6f?lx6vcqx#x^Q#f{Qy_^Srr*?5PwE|Ms_h47LcrRaN2hWyAh%_Nbr?Q&_w zmB>m3d(&k`%$kBQ`7DEJTYCD?@29g5e`~QjbNpm^ankAhkZ_5gL*S94-FK%JGULQN zz#BWevZSP34m!Zz0SxCQ0`U} zAmT~iCBWTaeYvXZyd@RWVvmdq(&ZHsPugx|8_8RPOB2q%j4j>a#%nq-!bkBcX>RVe zB2AF~S%!_s*GaHdQV&Ws9b53C-1b9#qsYP@@~-~4MrbTFd1HcpHiH}Ib5MsCF_Yt7 zClHRGrbH`&f(VY&wJ2d>6Hcs}LH{K2r1=eeSb?VK^48JHhzB=%r5$5wpW@mcA<)Vq zh8C1h*GmZN`CkiGDC|oS5vRaU8|Wf_#mS=)(>?-9T(2*mV zvFdb$n7zB6E~m_f5)OnVn~52D)3ob3Vf9SlO{yShnKiDHEh7Z-)2i?y(SRS|Pp(%p zBuJD~=N^FsK)EG+0oo|gQj3scvA1!As)}$bCF=&MIzzjXGj7Sj6wBtEoL{FE6buO~ z{wa{$Bh*S%9z6@TfIsk9P1QTu&DQOF4-s+p7I~=zBBgZ7C_`;?s=CshV9$o`lK~2b zZf;f1v~g~!F@N=1w+!2Zll0^r6qlO^`APr>12NWL!B^RuO+ZkghP?c zBR}=i`f^n!xwCoo@=u%Dl)c^- zW^f)D{t1M*ODilnF{WJ#bSC%ly*=W>H$&1WqP zy|2_TZ?RnK9=(`3gY1tJc@*v|;BU&Ozr)Usz0;i%Md3SZk!T7V+Jq=k1Nes=OLgD5 ztNxGInty;-x~DarsY7}rM6|GZFduy8hx$^-!WJETE=YQD!_u|Oo`#~8sXO<<2ttz+ z>OgP)@gCesmiKS?Z3_gl4&)o!?_@t?lJ(CU7F-pHt_}??PhrP z58?d{?4@Cq9Qix;0Q8`v!0(RFkcxWAFRVDVH|7Pp{lwWstms)wqs)Yd!x~D7DW3rO zU}4&c2#=rw_+{(Fr?vW4njR^?0MWnaujZH@ZmbG-h;|nZ%;i8_&tyy0xb<@*hyrGZ zdVQorl>d&^a@}aB4!3Eo2)Bow(M#}m`%8qtxth&eJ8fKRwwDSN??wSlL zZ3F15%NpteXMo?VlGQ46{Z`$&b*hka!P+|JBQtSc5_a? zNSn@0{}(CJ+niw)yy(G-uLCdNVdvRK6)JNGTjb1t`rQyEP%-GJzLSfX-ZVP1)go7Jd>`%?>Sz;$%VXEid)vX+5-qZK%r_Os@<_W^Dy#os7(^u@IIoc zm_Hn*xu-G+*ZJ{(#y18lL= zzAlRzF%=sU|E%!MX{lOJWi~jhF)|XDizFMDCHHFp+vM{B`;cjMN%d-A!AS%lC;}K9 zq5iHwY;{@Mcl$Ei+vkw$QvLy<`lt21PClPYmn+oCVHQ}yMV^u_q?$K3e#<2gh;;-a`D~O{dY<* zZoHitNOv?n2*!)3)ycW4c`i>=kw!!3X9wL!OUhq6=Adre2=T8?8dwF@_|FBCBx zq^g4%gX&VFF93orT$IOH>QkdOldV@wR(G!X+Y3P#fg2oz;DejOy*$qYq>m!cWdlJ+ z8Yw>ah-0$EEe_BC6>xu_7}UUXVMRH3?ELFRzIlz*#P6ze>io}6hQVYOw3CC|f~@Le zk+6c3w5SF?*x`J0mje^Li&f#*hIu52BVJRS_bB9+hZx<2N16QVUgL;IFbYkTq&;-G9+Zvj(f~B;) zu4_zgo@Qv~h%m2(a5z^8wI_!tf|1s8I3Zl1Uk!~eN%r`vFj)*oM{1|#8Jzl_zFG`q z=ZPzBC~t2vE?Bs-eQcUG2{~JY&AiCGAt%K+z=O{787HpRPvL6MmL$)$NKSo&+OR-N z>e46n2`@&$oPfyb4T$NspZI%b#i;Ze-FiQ|=%Aaq7~ov>voLq-#us$eRdZ;dkgc3% zuB8QJ-h#qG-adx()QYh82;Z$tH zxR9f(EES8(x`WL5udkxj4bn!v;AfcQWElEyqYms|l%Je_q?tj2i_lgf%HTj|oP)b+ zOROnRxn@|oLH6v6pOpiEbJ<1bD=4mG^*r}aa={Pno%;0B%+P*L_X?l~{KS1DO?1n) z0e^lq;D;z*;uWXc0i=l@zOH@M6`X3A0_a~siS-|69(VD%qtCoIBZl-bTn(M&?}4t9XZWXkj*vI@gi(lijqEPv?569Oz*+AU5j!)2y>& zkvuoBVzNS@`z9&_C{eCju|Os9J14kiss&)4eSV7_zqA;?s>R=)XxuK-V-^4rlFd89 zxK?w!_y0^?*W!-@bN93OzDGCj9zfoat-tKHrW9ILLT%Cze>=N`dvE^MzW?cOJ`bOr zH%#Fp?W4$WWW6o|dyqR(u5)ipZfb-7Wv+per8aR<#vsz}N?f1nHFVBCn5(m6G7XCu z&ot|CG|?8OX$1!&x)QoIi1&~q?v9}cg0Ea5**`D24+HzuW2U3Y@UQkZ*MofuD*FAA zn5DZeGJrSKf8vSB4}-2H>Cvai7bF%NE|v>>njn1#%hlx6l>6n=H*b@fGVbJKI?oE~@wl`$7#HtNu{f{XC!he{eN0m+RmF=q!&Q z>^a}6qiX$@)bTj@A6|`$+=25!0xB8OE&IM7^ID&9a@$-Yn3SEFhn>kElR7>N@(cv9 zyLx?z#d9WLt;biwXFuWL$$*<&yt6QIk0> z&o7HowbGWrnN#g~D$wYVU1an)%#Iz3^K+oU2EN_bZ~(%Up=f6^_o<|w-hErM$XH>y zhO2JbW`dgU?jiacVnHuLgTRgd@;IyvG%UH=-~W{}9ioWTWO;mWxY!glKcxV(RunUT z81)TVL%S{FCf#&`J3k;Nwl$T#Mpr=^~a6jB#AEzXJ+fGmbqLP7TQjC z2FATBc%DqScK}%&Nl>4JPABHw-+1`A9th@=sSK6Ti*tIaX|>QZ^dwRIi;rrUlYp-> z(RX6_vbptKA|KCkbV7-jmWX121`+{~f3wf4VBU2)$pze}EwPjM=_=wE1rWlf#YBM9 zQ)C(zJ4{s+jgKDBrd+X2)%neRb@4@G!ees7yr44+FChY_F7iB`m#?26bIH{A9jU+3 z36E((_XR$vBkImshej)2-DwDJzr?P1s;jkQ@7=!OE0#M}F$S4I1t4cW)BygKkeFnPue^6=4>LR-iq|V$ve1>4@rpj#VMfbQt#=^z2D(63`_J8S)IH02${mn*r& zi~4vZMkxQn?iKW|0%D-Ibk(5*L9xQ)>Q7{x zAD>XpU*K+*cC+bDCeE|N#$<2p9FSIMYDL_It2i}-9}=lQMqs=0%|4L1x99g4UN_Q> zS2$hstCid3ResC=`-0O~JqWrq1Zsg6*U0ydZn_-{`i?r@zASm;%Tud43EP{Fj)mg* z`Ag5_x^(R#xu@oNnyurwj3BIQIV;8&zAKK4eC3@~5)8y-f<^_6g^^yt{my2CO2asp z1=$mB1jDm7-f=BW7WU`6r}$f?`5$_4w#IiCNFWXQT^}5shfr!p7`pu9{Re-_`Qq3Q z#GPH8JH6|^0bs+cN%m1VY82k`a2<6e_AT z;9;xSnsZs!KG<86bAtBudKk9Z!JyZXm+6#?om4?RQG^PcR}?3Z3P%jp?p% z0j?7cR(}aQJYc~6LWN`h5(ES%WPKp=@o|)W4b3zAoD&V3BqD}e)yp@wJK0VNQhwEV z%B^MNda#r9w$-}7 zRXy&$UHkVAvOv}I5>_m4=(CSUZ_*xVetaO~dtOMw0v+FLFK%+Vcw}hp_cdI00AEMe zy9cWp^A@&(oiaBcqup$&vJGgt`RvOD{4kTSPoB?TR)43%8gzxt)*QzF5Qf)AWR^4$9YMRO^1xbI<<)vARlOXz7vWzgh3%kN7Spw=|KswZ+moIL-OclFy!f^XRBiNQH z|2rzlSGUnM#8cpXc5uP@!1!5AhbKHTuqo|dqeb7Rj>acig^OL-K#}5)kpz}iyi43| zGK**DvO0&x?sGNUCk{sPks*~#kASCJ?!|I0={i;tw+tfDMd<;OP806B{8Q)%QoCz^ z>>d6FU1fK0h%Wx1U@WXLmT-a4W`#i=9+^OAeeRIR|< ziG96$?NS4EI4n@p---dYDIe>q5lrQ=ahS+o`1JDQVLC>T5RINaaVAMDHBO<Rfr*lXNcoX@7+&d9@Vx5z{u(8~#jpDYa{rv)pLB>A?lZ)XxnX>@*t#z>w*|EWBG zej=1MO3yrww3s9o|dIGC$lN9 z&_^+a5!Fcfh|8e{@5^;5K14NTdW|Wz!J@Oa2_4bGKIt^ni3c_{S5M70&)k{+*nO&* zil<$U2uf0RFlzTH4IlJo3wc;|nrm3K2ZGe>I|g_Z3YTft3-%U*+m3o>50#fgLcQ7L z;iRtC6hoedco*|KjA#ffr91&k)$HtoD0*thy0hRz#h_X-e(Xpla@*|rxOkr8i$eYF5ixYwQDZ;k0lQuq_ z?-g&C6LL}KZfK&J$oM2cV7|9DZ71#3i+3jv1HkUTA1d~Tx-vX7Imo_QSDzn<64l-0 z&vDwV60Fn5{p8R6N%I^T?pd&vWrkbTC^w8byDGQN#<&j)Ikf+p1pAY4b->|BD{ND9 z)FLFy$+mW#O|>fxh5H}E&v@CH5<4H9<121OTJam(8dwi&FO}^t zmS|2sbt-P1-@A$G_H7Ak)%QMWRMQKnyJ7Y6*^m6JM)SN8)q#atD_zf)#Q2N{??P%{ zdb}%*y7Rx?D)!HTJ*(FOcRr(EIG^<&Zv(a6_aSnAq!1F1tSvRm?fBs&GFM%u1n87F zy`COLLUD(d+F4K%K>?uvgoUfPBDC}*CC6BNVGjdP^o$dEZ#8W_avfhnhvaIV7!F`)aNy&>U9fe?YOOYnWtwX`CJnx zO~50YC1`u}DcMfr-~ym>gm-aYCml9gR^nf{h*ehKG$Waux~Cmo#>PESN{2s|k8LVx zJDye2Z38r<$QFBaObS*1&aj@bd^GMV3s7{MwC>RnEjbpnrmQakbmA78r!e2;8dbyYXwjoB{BM+fH(?ldFO1f8>LoBUi|83e4oeLIV;xM0|3oMVDPnO&&aN~VjaQnYZKQaM^sO*%= z%T*D!T2A9IU<+y{P0Co*62Jn1x_`wA{!o!zvC+xfw4wKq!%(uht}Z``gbxd!M(iNo ziuBFfVhX&8RrEKNo2Rj zyJp7zgHD5b@j1Fi;Z1?6 zI-}*ZLZFyt!kq}6!deElhvBit{om9$k5n*57(KEks1uv2l%IIs%y2{XFg5QFBM3&l zUdr(-kr_az`w31eDYfoDp0R&(CVUp<@`9Wmoym6d>46-A160N)4{T|&+H zK02yxo~%A|X0MI-rJaKzRygaO*K9|y;oyVU*Yx}XrNVW_8xT}l@O}`l_!MXQg?g5- zmHSA%Zqz9`w=@fN;F_tz!&+40TV=n6LeU3F8A$#xF*#8pEO2A4`d%(la5sNsM)`HE zs{FzsmqYt>ERUoO4Ok<3^|oQIWTo?hk%J8zqp>Vbk=SxMqhU=s&y*~GrSs7x^D!Y_ z3(Uxvz3*@LFsI6j{EL3Ew9dwaDtpy`ND&mXusc~vJ@>ylts94R(ws1+To+*#H;Bsh zRMN(e@_b(@%(S^%z4{ALZTXA$fKazG_X7cdX~oY8&RdCAOFBu)`%!qn-zCu z7CSsDDm0l~_?naZOew9C2F;{#zy*FX6yGnmU7oV}XH!7=Ellyo@Z62*^bG606IEj0 zFuwu~CwxU9bn0v6)V|F)WHZXt=+(;@ujMs8#|x8)`oruFXo-G!%-gLXH>0Ue#qMdi z-ONYQy1VzCsGp)ABloT2F3x!tUN}y7^w^;JUM|VGL6|=O=beE>_D&i@s$AQxRE1Ef zbc!cfMp(8C5usXIR?aVGB4l6VUn)l4sBYEDBx%S$(nvv0GJ1&3o59t#@iOv+W~3V| zlhuq+df-o{rAEr>5*Ys-O-<}2U`FANLrmTK9&1wDY zZ+pWM9}!{%j{}wFAacvAKf?e&3gg1JkOe07C47_E0eOihPV;=qo=AXtdc%M^9G2+8 zY?&9$7I>Q>09WX31&`(92RZ?^8188eW{6DZ6jds&rY+3-esrKlUw?+rYG(jZJ>V>U zw@pC<(Auy+((+eZmg~Q5m?dcq&WsY~TFGaO8Z{$gjXtZ=TQ;?=IwA_7(64c0pL9>L%F6M;jaGG22b@IoAw78ObN2*3ee6Az2(F~kahpOD z)QQ(e{7$Xxw%kk=h_Nw@uS=xu4*>F}FZ~04f(kBvD1v$(2odBnW2?*dl#0J&qJRD> zS!5cQvh*ISb4QBU*6FkA(}d2eXogr<>bT1<&EsSGt8$bJ>k+3gJqmNK=|hBvW3=pT z4TEGZDIVll{N|hh*W{|w>99`lp*rnP1nk#P<1tf9r| zDg0#e4f4wWK}>1GyB`0KA5cwmaxKDU5`1eA9tY4SO+L%0f~-CDO%BMF1(Y{V6XTK5 zUyUSzl<-{{uy4J^ANww83L8CVm1|4fLh%Rvn$(-J!?YXe4~W0AADwE=T4(8lhCr4o z5&>F_)jG$+7G>oE0jfdcwn?@(t)zXhgt|+3=BRhywb94qlogeRF6D8fmb=B{zJu)} z5c!SvNzv`l9$YRmNd_8vTKam54gvOENe$s$qqBONxH@iCU?LL+xE&`$SsL2_-}w+M zD}JDL^?R93E+c2tKu>{mBA?4WP~gBxTV0wteQ&QZkXm*mqRJgb*WL#zl9Rg(IR9us zpGCovOL<_wQpm(A&3d|~jHI3wxOqqD;a5i!?q$3PWp0U2339)R#p*m_^YgWBR%5;; zQoLE9Zqq8%TP(5GBw)|YBNwIbnGqV)53g|k7G!q06qFn<6;z|Jc{Y72L*8UT(oU2A zd{4=VpMcw9rVsJO!VY9B3A9?q-w~7U6|8c(b9CFSzsT&AG94s~Kwf>JZ*&E8`G_ZA z2$-c|{d7PYx}w7!T+Xp8&4*bm4U$3Di205@WlYKeTY8}Or(2n6zsgfw18FzkfJfA8 zupFu4{utTTq?0H@{`<9Y2xh6Bhhf zTOXj<$B-OuT=)$muw32W&S>Z6W|5P+>Yuspi=Hk6J>uZ+A9^^VF|qcmcnf&?8OO3y zCwuNM^3@^f>vfQimIH+Pv)p3~EpR-d80S;(&@u#hP}ImqChiop6(daYPOpjMSO{p`;&by-6(7cikIC)+yO9tbOjHfS1xzJk+hz%JK;^rwp}{+(>ERG)4r${DQ9{f(Y;k;`2##mahbH zX-$-7LAEy@I$>;aH~5ytxwWAW)wbk!x6TMy-ybsRjK);8vTPrbA@0ARccAocvYPuO zg8PsB(2-m=B4_Rwp5>ldWUa+^0N3jmnuu1qs3r|G^{D-x89ZwddPnZT= z(bc&2;WWxBw}&s+e2ijiUh`$I1+=*=nI)D5W{Q4b+yE%GedNJ4(-MrekFTe__|N6$ zhaSDp);Ga<62_chF;Z7D&3~sf=U19s9ygMD_xGx_S6YgEAI$uJ7Op#JjE#9_vliyo z12@m)pdA_Ok37mEx7zmo$L8OWw4ZjVnH&!T!CBhd% zert9X&gB!-($;e}#n-1&O?dL{8GkMk>rVCac`X^Ju71Jo7oV160CxH`!nHT`oYjVo z$!~ObnBL~bT7Z03u(?$cG-G5{|Mp|k36Y9h=>IwT^rbi?ihHXwsyYfA#rQ};Aqz>& z@C?ZnWewQ>LVV{2yiNFINuv&jDcB?MvlVsyL)|^W+mq_2+XAKUi{zNF;6Y`3F00$H zYjj!ZC=)^9>0MtD!rH z@N}7cyv@DVrDQx~KiMv@G5>kuE*3T4k}+@%ZfNi$d8T0X`$DyPhC?95a6#zhH^_XS zRKFTe<&IgO>enHIukt1Gvt&~fm8z$S3U&J67MA}1NQe{pdOm@X^hKh=*Z-aKHf)^D z@4Muz;EmB3|KA>`e5PF0Cm2rl)Y^QCcL%WcG`2-6g+neoLMwYmM`rOcYdXk{x+A^Y zp+cjbc9=o1q?JU+qZIB4v{Y6RY9y$uykFHwxdV3Z$B^E?9nQYdGENGhazldw2tyx3 zc}_Q$VDa@7RO4xF)nGXJ?7hg2`p>uFxjD-G`+tbs$*Vxm<^k^wR-F!e(?svWLiQ0Rsnj zg_MgPP+zD$iOPjbzd0|JaXHglk?677gNV%Ix1YHh)$tR2DwO>vjTnegNZK}@uDbIl zK%Hil!HxXD@Q=u^HxSJ-&0VYFA+juq)p_spYl7Dc&VhHfdds^G`ysnNf*(w(z4JEK z=6~sP*>a@$ZNW$aN}nBWO;cZf>2XrB5`^x$uT{10)Tx1WSxKV-ADFPLb?&uDnYJ zw!6S&MbIYDf{-bJSmhU4Ox4T1R&Je9Cms9>bzzCW5ht7PA|2)KARH~m5ashVcVmmK?uootem-hEuy|doTscsx z24i2_EA*m2=(SLZ>bFb7w`{np(%tWUX{-E47%mZ5$m$DQ@4Zp+b6Bb6ulu|`cOzZ{ zaEmMM$DSAV2Yxm0cOl=io%E1~)(t=j-2xWzx;&A~-!BXHgyfJXuQZ030||TKX*O2P znqW&2&8=-PFIF8!^o>$+M=}le# z{wL;gTcOIJ$PI2C98~ROoaBpF>oTe{#cI5a8duf6aU7{1K&l0#Jt!?qhn->fLzEr{ z1_G6}u?L%C7?$R&cD4QzpMGC%mp^Ec23&0j6nnQM;V6ZdP9AE%-6xr zkhd6k8rlA7^I&;-s}E$_+~tDZ%PS>b_s~U>!QD*9wTJ2b4R!MyBK>jVL>)yB(9{Qu z7hSXY;vSbyTKwh3!j^nIK8N0aZV}$|x|jk=lw0mxB#(I zUkU@x?ycGW%OPY!H}FR!)QlRuTEy0Qnpt+gfT_7hpaKXj65`*W$%}Z}v{yJ?H_l=T ztEog{0pJSx3n`ww41c2$LDgi!lj>Z$4XIrQ*|uh8m9FSjmZ3 ztthB8J%refj>^S5Bu`Q{%ymiZD9jK;6&5Gbzi+Oj94LU?*SzJ}k`CKp2?dW|6^~)a zoLubw=pb4+to#zwrTVLOF5Y<_`*s+7Cd<^7qFGk5J7~dl_?Cu!1?NroEK#B7V2u$T|f;Jp33;9==zOi z9elFwnixY2a|(2O1583(Qy3=0;|4bfpy@yWJfcYsS&8HB$~6be_=x# z>BqM1sG;vF5o3)vdqg{akL%1Vm}pj=ikXYl*D4*pc1kjmS&fMgC~Qz--P%V`a z4}Mf-jGgMCX_2DV3;8+sEX@rjruL|&rpjARSTB0?F=4(|*2Wk9OYrFlv$AIKn7tz( zJ;kk`ua9*|^c8k1gjP;a1k#)RY*dpbc~=52u*NYauRA8DR@G~VHCFsE1XK6HVIfe8 z?VYCSlI&{~sKcrp=Hq~qZda0kGA~=q3p=JW@0~tc%gCSe-P3W`K@0@;UU-^(dkE@k zw?|gbYfu{Vd?Q*qyaB$k^T6h3vH6SFqdcC2-uwW6u35eAA0C^^Hk29Bz~eBqPOge% zOxw~~CrR^bRz#U7Q1d11P7;_|-K2@-GGQ1*a1Tx^`g}H*oCBGfU-TUl8}xV;MNfmr zABJD!)K(OVjxoy-W%1# ze!_rV3Nqqw6$A765S z3*Oku3i27zPRkT}(%)t5V&SBRz9juuY{wMHW$mS;2&H1U_y^3aTic;Y8?-egbDU*| z*lM#5pCWcO>3ykh(}c^yw~`{*<6ji5M~D7*w7iGCrWG_N4cafyr`JlSo$=(0yZK+m~ z3+UR&i%sgo$HQYm_%j~@mjeA7^^N6m0Xs@vl9_TR9N$hoQ@_ruJaEgwU)Z8Z>c3%}-LS!EkGyh5dye$=BQMWo zQRlHNA+dIzkdETp8m7@enn93rX~*q>&{GcD(%4S$O4u!bf3NyDOAduGE>AJav7JB8 zGJYdNPSw5m(-WUfWGep)%?+EmP{bxGyY1o0+G_m^KAp*wL%@?#qFUyvXzmbRXEtBo ztVYRmrIg6HF{-IF>FYXS5>c9CG>Y`*2k~BHZn575*=$Qp;qas;3IvzPg-Eke(;u-` zaOzbUzRwi4H1?3~09xzgw2yFNcs2+@c&g&smRFK0IH5H-kL;k!x8u(2;av|`_sP$O zaL?l_lU4Dg>>=|Dqo**WC*Bg~x`O}=zr=~UGnOG)!d$Pmp;ERO{<%D=L>KYVrR%Fx z<^2M^Jpz3qjz5l(zh@kdJ%_!3$FzVy5leE8XuJ3dL_1GWv*jS1;I_*&ifG=C#*-!@k-oELTy3${YORH zIh6=Jc4V4YPpUehR_|K!@h$0z&HRFQMKXnq?7x5V64J>IINd^%^WUw`9E^^~Wfzyd zzG%c9%UTMUu>0RjtB@-^6Tg6R^|uYYExEF2D*y5HR%cYT*o8iS-b;D?eS)WhoK*FT z=V;kyrfeDsJarXC+dV!RV=s@jt)^eTwK)EAx@`z{eYD_TL@E~#G}-_>fdh9)FuayC zxR~V$)l=C{mO#!DA0-PpZ|N0n59nC+mxp2k+mPo*cs#}Li6<#(jM+v6K&~yP?92G= z<e}=oTd{@+ohZO-=6=D>rJzPFa>^5C~)B-&?kM zGmc_6b}Q8YU@d`DUY3$+09w@pZF+d8RF+@Ok7^x}R`vka`ljGY0#c>+q5f%w$tedT z^W#reYX+|H!DT%WE==HSaw*#hZGXP3>|0OcSDo!z^2>t+%VRv_yTpb{gIvOV`VL*f zuw5WHG=+EQWIa;dRQ+X2cdk%h}aeG(){yqUOA+G3AiD+o5A!e+t4{T3(R{VVW zTOT)1cB5+*+>HkkAhIh7_NPrbm9{v#W=Td*eF+i*6t9^%7DZ)m8EKQ<=7h&y!_Q7+&L}Zw z{3eSj!#Mg@pN7Saqcp*oDqOC|4anAxLK4|vvy7Dl!Y9KInPT;m)`NKItXyy~48K=fbB}=qqYVf9ic+csu9&o-f+Yw>*i+5W^663Wf zsvLU@G>{&@?vP7z)HwWCO>A1=r^z0Vq2^mp#ylnn;LpvfMIf$SZI#a1nxn|=B#W4@{xzOYn zq9TR4P$u1f0o0+#zlUMOUZR7psWmQ&XRrwyIQ|G*rL*`5KVYoUw8hc&vf|?a;)Gk{9()k~NyS?`BS^$IM0e zyK@Sd(^_>iq6)W%T%>+s+W{@ z16al@_^RkK{%B$m*lG?!&L-ktFh<*r&Hj>Zmu3dya3Pg})<&j7= zB38&95uZGJlZU(rApecrW#2&Jg|NwD6wczmJd*axm$;L()cyB~P=fxtDJn3_pcGHi zPZDd#J=sc?fzD*oFP#JC4ctn!xvK>y12u%diljkoI||<9V+Pb!goB zFa3DEI-UM>akp9d%Dp6M>6o9iJtYUp*uHo9JP^54GaqC!cP3tY$J{k+tSZZsf6r=j zE?!K{$2_p;UMio}41|C`v9GRpRE~lwN13QxqQETSvabD%O4jMGGp^l&u1QV?P=QzT zlES}apxJ3t&73lmqeA{njZCQmi5fso)gj4SZ|5W}+jZph!=O1`&Krdk-?zLA8*Im$ z$$~6gQ7#8Kn)XF?*_4UHB|#Cl5@}a5r7UP_p;E%cC(D_y=t6E69dP1Gf++(2K7s8> z*Ad&52rr6c56ao`{&p+9rPlAxPqlnkt1-^bGL@jf;Q6AzR!BBQ8A;~}RN6HQ$nQOp zp20kx8M8Q^W#ruvI&SCDe13Wm(UNs1a5o{O*|LWtPfB!ZX?LanwEd&i#D zB=&5~qT?$@?7dfOgxb5Ps@henRux@lORIh9)bYN4et*KbuJfGdy3T#>&%J-L{9;Ez zMn>#5)i_kJW(FSjO8$fdO?(?rsCttG`kc3F0o-Hw*t}p z^tk6@+E})iF{o0m5q#w%0I@*NDeb?rj~A-rTg0 z1=65;IdLVU;w}$FH{Sd&PCy`V#Pcvf|HUFrJd!n?+HV+eVdsgZM!MYQI4%&!xGPfd zA@2~?eC|}@cHkW;PWr20q*6P5hNt$u%Y8GdO#YZ2H^LekVS69EV5!0I{T#U0t zrQw-YADvS5|8aP+poy6T(b}Q!Ot1Vj<-FDF8}Giao-5TDuzl(Ev?eN6O0@TfgNTcQ zs(Xgm@x=g_nf}XaBDZkm?cn8!$?asPs1mrf*?7Kr)v?pkBtiIORW;mvF)n!`S$}so zeNi|^*E^YyYza14P6I~X&bE{PbJ2vI?-J%JKLlWMg?nw8yK?K{TdU&bU@0Yycz&GI zG~TD2JG056Oe1Z6mkm0}dde3CxQh~aSzm=bkiT~Sf|mjG#(ZM2*r>35Zi#Ddz_&at zt-BL(I_}udSVtkZbT>9lqguCdZ(TyAml5wrkt$v-@8z^2p?Jz|vrx8;Yit)4Mf^nH zGC#G3hx#g)QTu}zY^IW4hg(0A?Dc-qU}JUnoNlvjFHJxz9Asp@py#!G#> zPt%Ku3F1uPi>Nwa$lN&DKe-r$Y$f9)Rjyl|L)RJlWcr(lvN z_lD$PlAG4NUh9xSsg^f++G>I|F3%AFjM<;>IvYcZt-`AdE*+<=Vc+7_dvPH%J1s@-bUd}ea`A+{?thnt$b+` zlfki`qy4oxS+=&wz0)wetk12XPO+&EVm8sojgWCGH3mTYSC0KNLbIn*3;c3X2mRNE zHsw@t$K?~rno@rn?{|7?ezdrc|Mj)aFJ|*Vt3iDedf%@ycgki`-PzE#t}<3$#ljYk zNx3F$+mK>WXDw&#a3_=_wXx7zQC^bfHzN9_5if0T!mk$hY^suN99+2qmhX8rSDDe{ z`K)g@;jOW;6w=6;?MWf>vo;TmkgYn7$_Ad$KC?4DJ>z6tgN`g;|JbUjF3!=%q&yTG z-To|^V?(1A=datgRk5W(b}sFFGvj$2U%;jDm|s`nuo%!)6_*?NtA_3h{;qdM55n~- z@+F@(hb9RjbwGd2^9w{H;(KZQtyqr1$NxK+8CE#P9NU=Fdhu;5>x5Lf}S}hwS25+6)woPO3&M=7S0VW zh>BlkFJrd4tq7Z@TzHmipjMYok$1v@)4cL#kAX8SccO9w^04J5=(%o)S#{BJA$ua; zZNPj9%vxFhKzG1fPtAH&ZVU+AYC1WdD4{l$c3BUvYAGc8toCI%dlx*n=v|vJk%}VI zsUyVe@}8{Xqy$JxE;8TwGuq4WNV;`v>Ee0T*K|*SyWCP24lC~*Cwt`(sIqt|p^aSf zSn%KJ!hZpJ`lk|QefwT1XKzJ&f|1;WVn$HCZWb;(*_}}dPfYiGnM!5?qtGYwMp|dq zj75U=Q&Rc@D8~?Zcqj)ebq4ICZFZMAE1%T?3SV@;2CwdD5=U)n9nw}BhU!6VZ)gaXkf zb4j_R?ImxGQ6V$?IeYR6ndF?G%_XT(BU4~)r_kvDD%!w6nsJ=#>i}er@97zP_81}E z8g%detX1U8)UDq;_q+y<)SmpF{cO3R;PWrjC6J;AtzOKq5is(Qcbywk?;8jN#X(Y! z&YBdi-1!Re5RgKf$ZmzfOv^`gq(nH1n>TZBGTujXQs=(CN<0^Q-^$>8=z{9^uTVnr zq%Pcc0=iYhO-S}2Jt@xC=qt!DqT7;|u<&GX_>lkL$p26`fKR2n73s7|zjlKieE3gI2eaatb{^I1g8t`=IKz0;I*k(gm<*@c*uXjJ=9O*8 z(Og$=uJ%nCq#{Xc^e3`MR^-09=Yu~ou);(^FB5iYffs^9tc{G^Vo9aoIIgqn zc1{e}d4iZ_9`vQmCMhgm|pW<2gNtTE*wfIM5mj;J%m55j>2)70sYOw(ttHK ziL&)b8=U@<+s3~<$L&eAOBK624n1NEB{MA z!OR9;GGntwRfGopJwu&mU9$|guMu($TSdF6_Ep76OJ2^@tt?AI3^da17!<*!20oH8Sr z^m5eG!4!Qt>7(@KSD!_Eq9&w^H-Y3W z{Fy5KQN%f5l+j(n`r23X%;~&xPvJi{ng-VVh}_c~^mi$`G36{JTH_PVtAk(z*a6jt zFvT;s_vh_}rJtjZq*Bkq4r%K*`3sylh2Cf+DbkgQ`2Dimq|S z%~1M7tD7?Ef-;pBeOR);-JepELF0aV=WMTQgD!bCfF~l?12V?l?1ybr7I)l5B)`bb zf~1{zGkc{r>9_Yyt1GV+Gy?A{y}y$n6OyOk^W7fyT83SW`&WTo!YJRy-3h$m*^7xK z7&u68RJk55?b ziF-13Z{vTYojo^C605mm=I>19ITS!95ynnqQE&0(1`W($ulst@ZvXC1^tvvsyv! zGtlOgRk0VO%PvsPE(D}X4^R&V-gC+L3Hi6FI8`Z;ljzC30mop3OS}S;bX<&q(5Z;P zBw4l&%Z)VE-#gd-3$U!K;#yRmHf?tvc%Tm1pYO+V@Aa9Z zdsk9Cb3gyD&=Sa%0JLHUnY7=&^BK6W`vLQ*Eb}AUaMLSr2b_iws#COZUDfWXr z=>XPo?XPI2IA!>P4H2|L;a?eQtV9Xz%nHv}U1FQKE6yd+%z$*xMV!5dA077|lfAkj zd8M?@e+(#{JkQ2Qb5mD>^Dxh(aP7?;Rm_FVm+yOs2kG_50=V{K&F6KE@eI2|fwS!D z_Va3H?R%J(d`dQ^ZU-~7?cQ@nr_k(*De>srxM=@`d0Yl-PG9K&{L9cFr!z@sIhfhU z^DuT+^iH;-dZ_jVeuR1_xgY1yL;CruC7IG9X3RM59u?H(5l=9%wev{7Q=RH^FKdv5 zOa#1qQ-7_qMNRh~5o3zbfUVBc&`h_Kn|32&C-ka=eyT_+s4*J`b@G5!s>p?6TGH8} zIHlu+^Rh7vnPuSmR-Sz2h{zl7Uv9O5nY<2#am~qbh}%{mrz7rM1%3)qNs{_hE)y0? zM3kWf>(H;8H=wT!bPJ6xn^L9LD+TDo;A1-CQVmRF4{gp4%MbZPZ!jGo&qmF@kn1w4 z4A}nf%;l|=_c*xPLuJ54rU#t$On;{$Dy`zfdx1=br3D=*b0`te1w?>*(m(e(F$c^o zudKITXwjW%j^*zOW&%2;nX}BgchbqTqjhK;Z9A_SDlPC&kz1V3)b_yqN9jT0KU$%Z zCX$VKb`C66h_Vfv7-_}R;ZWf|GnNiGKbA+ol-R110(;Z0fH_#d z)YkO(t4N*V>pqM__NNFu8vas2mU`_`zOF(f8Wgi>RHZ98^vuz?^Tot07^FO zYHU7ZzZIq^D3jV6FZ180$II0lPy>knM#c!~dak+Bt_^Gitt&Y!UdIrKYl$G4=(2si z^o5fUyO42*5tVHt^yC}g(3AgGd9Ico1tc4TJxKBCJM8>*9o*iOnQm3R`7?+~am~8Y zm6TXHI^#qB?bVLc=O*Ey>QmIJMr`kMnJpA}2sSl%caljryJc(8#*brKY z*o84+?k6H}b(uG#c3(V2G#E~!TR*|I7H@EW#5XT|>B1#%Wnh{wizvv3Zp!x4MEW~n zs+{5iPvH{V*zycmFj{<7m%mv~<<77;Fh8>zXWl7o;Y7R|@d4)&9-0RW?etYFAF-qx z2P}I!uI~iDVujq@d^I-0*Vkrfu^~8hUObYDaH!Tfi!uq?EFK~BHxJzysDkKj;>y`& zTPOn6MyeJJzWLaXGrdKv`fvr)tT&_3ciWdn7CfDI+C!TvzJ2ShZ-`Bo-zyG&=KI6v z(>Gwiikcb9s!AG5#q9SGo}HHw@V4Fl$06fi=+zW&LCJ+!Kf&~J3|Qb4d6lU_pLPK z%8+<45tbjT7@WS=zbU59Adr3vmKwC>?*3{0=lAC+K3`tmHpQ{_pnK`0Ok5&DRmkGA zBFN@_^dp(8lv&|m72Pm~s=6Lzs%`88Hh61fR9rxDLtl0ekTZ|9k~Rp5VPLQSQ>(ry z^9I|9<@~1q%*i;mZFvYNCnES)4mlT#C?^(wIgbVaOER%0AtOotwPO4Q@iEF`?$lj( z;YV)Otdq!3(N@83qD{g*CUI|!;->rcO(ll`tP_ zp4Hc%JrlBGI+I4`JlNo;wvVV015^(8XCf6x8YvmGeF8h~MnTU}u!&)yI2Fdft@syv zjoVK?M$v40+^=~U^OFb4!9WtCg;oUlqu51n4hvPYRo&7MwWPQvE!uxpfn^RsF8R4! zmXuna7Rg7Y+%RgZUrp6CQIFNTEYi$DS#F5qJ%6*-dPW$UPJ|yPJHcg-%&V1K!Qy?U zd_`5Exw?Xb=g-gMlu(>1*n2rw&1-F9kv8T^eQ}EAB)r{EOWG%+t51&OxOrdhtpC36 ze3Cr_99X|#tPA5_85FlF`jG+^2eia{gTzN)>-$M^j~MVs&$|zQBGJl{@-WKKB!A>B zLn59NcVDiKrqjCc+q|MMx+JHhRO`^hMhRU z@`6EzPESeqtrX(j3DMFOX7hwOP#J2aF;L^f+zMYHoO1cyp`!1x^n?REKga1iKHSO`0! zdDW@)pZI?ok$H)*|5n52m{*@Ej=3v3*$ zY;cb}l&ia6pR23H1j)zv+vfhZW;>(07j?M)@$iR*Mfm}dm=*HXTWE&iGPjXy?-pH~ zi0D&`=+P6ZNxF0pf{NuU+R!R7ANF+gmRJj3*0GnWj2yyFvuU?_PRQO@s{3Cu7lYjH zE&ouR*Z6E=lSSf3ODWgRPu-Tv52w}2)Tv>BjE@EfIsMY!UHGO9N1up5_VULpzm^Fm z-B(%syR<@RZZH}a7bT?d0+XcyyR!kwMDa&%D#9agw(bNggH#(wzF~+$QD`Wbh`h-V zwW|W#F+^`t1*;jnHbg;kKLpa)(IHGZt- zhg`=kW9S^`1&sx$%5wI`>4`r*>=#$p8t)E-~A#< z?UZ87C`fzjO52TyToxp};eH>Q`IJ3bEIy!vUAQ=?2l#QhGi!58`BDeyxafuTwCts> zN8(*YtzFt;Ff7F@b8Kg^_GBhq=haQNQEYq%bJW;N8g@I|Rl(&Bdjx7+WMxAzJW8;5 z7&6BOUF9Hn0xn*DWgogB5Qatub|WvbSE*hU*g%Qcp#@IB?4nUbpAVz;!D&umq`e~wr3>5PG<3peo zN`|W~K4=Dcg;(;mI%kT*Gr1TqYn3ECX8XL-%%eH4qZ`SZ>@{+8Hpu_A;jq+J=_>Va zjei0O$=8TcHpAnHQDN~mjdo>m#3@0M`(}srWqQ({(oy5P09xa;`d-_WgbzIp zMN17<=WkmP$-k}0B?~zvR`lunH#>U=O5_Ji^lnQ$EU(xg+{u>gHyoZ;=W<^zhpd)M zdxzdfBQ0EpzI>}caHBo$_7~kT4od)wt8a=-q7f&jis2nyA-0j6oNIl>tF%+zshV3~ zx)l3+?kNH}B=mJ0GNXuab=fX@Am7{`cXj@Bab7b9mX|avR4mg_OzFZ}&?7#o2bMye zvd#5l>hx0-PSK+c6xIE7N%d#3ttL70<0|G#MYT>fn1a;G&Z%7$mD#nr5|upRQTy>y zHF~9!W%%i>$23o#Jc{x^-W@tBx4wyexV#$@eD}I=KRf1?YuSefIJ&*Otn?b98nO{$}o=Ux< z?B$lwC%={{q-Rts9QuByjZEw%6}MZjot#z92?&@VKG3+v^YPv6%6;T~o8*P(;;>Sq zultwf7^ej}N@ea}j)cbkDWKfd`1a|#DdZlo4;BA}4O|t=qf(EG=K@4c$%_QnZ_10R ztX3tp>5w=@w+Q#Rk-U@_Or+Af4K%%HMx%zPI%98e!JcI>mD!gKz$#hX%o8MWMu#nB zvIv{pS1$un9HBlM!!rn(7Iq%lw`;lZOp-dEnSMxdp&8av|0~4kEb_>#>?v85|9rm& zCe4&$0W{Dr)A=?_dyVZ#6ZO%ejwt$<4;uzNJg6S=$C`iPmN~_4ayS{1rA#z)>zVlq z(>s`_W|arBg-*OVaVvK#&3~L^pu!_OrY-tb4ahF`l~Zt~InUBG`*Mn3T3QgEF)dy2 zom8kgmv6YPZ=%BzB0k^;)|vBn5SFBy#nmBVSRK7$d;N=}Oi3C2YL5P#SD^sNL)MTf z^iD8o3d&1XzM{TWS=DxP*2Ix}$dS!09q&*s)GX_Z4JVIsL_8gf9u?lH#?Q;DLWg8Z zjqj#>d7U&N|DVL@-8d-V*m!Eo7=QOR=B^GkLHVk&DpS~H6`jO&yI7SG&eC~{bYy9y z;`6(sEYj5qM}SMF|GO}Qw+FXxw_J8O+Rn2#=k`d~pebVY>f>Gm1A*$!XD#lL1bE*hZiixQK89j%=DmR$LnGCDQM=x_FU<(gTIl* zVoZHokz^V)bEfb!xsvkLmE z3VU!aZh!rgITA~i?;=hAo1dk+9RVu%2xn+oW4$!u!PVd#Z)B@~Han*Ke(NI~?Fqtt zm5x@l(UBH1TDVG#^MXH^@k)*2TOv5+q^as+U<1Z^Z#S~jJ!2C@6N(dMFvA?q<`W_X zPxG9H__*H40>!a(l6*0{$$d?Bei@1>8G9sJtuyW%o_4xJqY9|A0LsP247)FchuCy4 z1)u$etaY$Z|MH&B%HG1*pt^w@c33KcEA?b$i74+hDx7sDsaw2LgBZs`qfnhxHzKwQ=~e9!coQM6<#BH z1n=zBr8Ox9)dEVLr1bD^cykUd z>Z+(%V|WqJt(!_S?$2@a{gtt>oPlh1VoFkSIE=T3CFxs|YFg|WGJ(T<53|QSjUy(L zRuh$2v2m4We*M8)KMXoE0 ztF>S8(rDWm>o0b>K=S04$Q;Um^WOE0V9#ff^#D#+3N681$Md|})6y*CVWE@P)*Mii z#7Zxl(Rz9ZR<8af2=eYaQ#HXu9h;r#q^_Ldv_ZSbi?fWFA5uZc5h#->JZCII2-3+N zrL~iWkU5G)qn)Dse+n0VM^NDRjzN_44*5ux!3sR9a+fR@AfT?xf9H{AYWXtdvOEh)8bo?vpcB+#^m5BgTkKhbDNlWxNgnRGs z$Qqwvq0_yMJ;nLAl3CjL^r~&&e2t{UtH1HE3kM@xEr*z>57d2$**7X2jpW1_wQpE$ zbi3)B#?n~$#9lHwiV1sF@y_=5>ct$k3KN1b-*>V=NtJ+NDpD!?zPADbVN-2bSW#G`mxs`Hgmn> z@luA{hfq-)I z479hY6b*_olQrGH%0Cjv}7v3j$3-Zf^S>x2ZHLqF29T@47^H#}Ud-jWmeBihw$ z2DQ_T6IiW{avO8;RT$KfVqy4Q504bQJAhq>rx<5I%GZdB9H9rHw75fwiAsPUSuD&` ztiR)wo}{=G3#nv-GP@x+zQD^iB8W%a56QAY3z#6uB%}jTwyXf@Y78j+hFofg_=NM6 zyf{nRRt8}SPpD8k)XA--rFbCd+=w@p9jTz`eeK{v(tC<;$vw;zUgAbQIg3+e^@snr ze0}bnD0~8nuyaG0-$t9I_r51t=nGh7C+J^g74f*6ywwz$UFNqC@ph&JLY?+PMsnOR z)q;?exRTnE46YQu6*Q082GN{+EYyg~2T!ET4`C+l950jk4Jojls)(DL+!?B{TkRZ! zYL~x;ad|!Gv{44v(S)piMAy#4%1~TZN60J(gr<}ZwUa?pNAOjd8n(;UY+t8rX4Vo) zb2l^lQZlcju`wZ~R*|Vfc9LNsXE#pUkOiy)@Bqfo9xx<&P~epfIY4`a*edpcN{%e^ z)TM=mFPt#=7Wm!0W%4?5?s6dWZFnl}a-|+{mD2?}V<9Gou<(wv^6i23oIxffL3%aO zptaP(q?q4h_%}oPf*iMzD;P-s*@R;7H&5|1J26mu-5>1HpX|A1I|Io3xybS0e?jOo zg#|;LHd}_O3Onci7@$R;pOc8Y`30%6tbWDVE|S?(L?})jd0;#J!+E^};Ki282CXzw zrBxe4&Xb%^!Lq%RMU`s~@(f6Gd;DWW`f6AdKUFj&7V==8(?t%_+3uJN=je!6@Mds5 z>XOny8f>7vo9uP2#Ye!XAxo7myj7-C0O)kA79d(w=lZ<{>rw=l2mnR67&6CVW=-v@ST-%D31goe-+(6o5B;+UdVPMrqYS(PU8l5v~7R4ZH-e4 zKf=7vsfb$8_#EYN@dDp8oO5~zs%V_Sy(#x*1NJut9#<(u8H0x?r;Xy}KlGhMHhQ@{ z8@YHFAUIjAP!f4Bz)>{tf`~%BLlv?9R<2}cLg$DxolF*pl;ktnfRTRHtg)BAMzO)W zU0T0Osqy7J_+sFtESMoEXOjaEndWz-n(FgK$;~Ui4i$JaBJjUjUv@PinWiM4RZC?* zs9!Q6EE$Z6<#6$&N=8;bE3Ld|l;8NX^4WNdc+I(-pZsuFYTAO=MFpowjS?nh8F?~~@PZp*Le>Qdi;$w-`}J>!p>jhI<)dPg%CnUk?GAXM zg*EtdjgV$FoyrBEA_~i+(D=UC@92ww6~oeDoj+b#m^h3}j}z!vS7f~d%jpjGc+fuh zaLMaFNc+=tsEi-SpE7(T^V!a|-+*m!-mad!rMDh0wB0iQ!%ZOd+<(@(1xXTe{CFjk zpz}-C+x^K-4KOG8xYGkYp%D_Knxsyk^uH%VY^riD5MD4OzB$zVZEQQoQ8X<*bg4f2 z(s4?H*zLmW=TX44ZEF0m4RuyPc905wP8 zmpUa=z5lmF;mJ94b$iE6vMJ7AD3$0lWyL7ODdq6*idZ|T?zH6H1h z^CJ{E+M}GQA*$-fPG;sBj|U;5v@_CcBoVtlotufCqN^Qc0Mom+;pr+)9}!J+c`khv zS{fB}TynlsFz?BN?)V4W7i4bV!*;ON#rL`s?_LoTG?)`1Oth!I*iz8ip?`CLvZ1WR zN(>3~4&`jps!bR_Q5a{x6$}7a%V?>tsMvb)NvH%{V-YK<^L%HUki)4q(H`)$ zP@tl6zr1gB9rK2+V|`;3kTfT0NDYgE2Xe`J>`hw5CXbeV2$}qEbiOOp-l7i~o8z`h~iFW8ZtQK{# z%{Ln9&1D>;wwS`Ii^yS`%A2i*hueyh7yRn-8x^WD4V0al7H}CVad*DXB=B|ip}_cu z#T+lAa+7+WFIcLk@NnosUT;zXYDq7B=EgrP2&qb}o#v&8oO6slr|K8I&^Y4JM{YMN z_}8tKU1A;?yUtcoZR>oq>fu$6*?G#%s`=i9>L*2ipbxh@u4$FF2RbLIuHI_Z5a+Fo z=Ip?#Z@!E+X_g4De5@@LdjKzE7b)xzc^592m3~qoAfw(6I9qF^9FRaiIp+4K0Hm`y zvgsTF^IYB44sX9+RQu!YU!a}LTCu8_+6^(|9VNJa(Pyvi%lUqg zw#}^&S`fwn#i@wmd9M6h)2dHw0q6RBO5JwDJ}^wT9Rjii$Cg$-@ z?S6F0JNGS9bDGEn=I}l1tV%8UXPq){ZBIadm-B*9G*FVf2?Z$E?vZu&e`NSug(pKX z?3ZE~`>L};v@XfxsIwd6ct1jM^;zXGDmNcH566r-&h0MzlkFoDxYM_W(LH#C|07>M zQDIrW2V?<@g~Xx}SByy0=q1R(wrItKW25pQnZo^g-u3`3VYD{#9L+vs{b?4xqhl}5 z>T8P*+-~)4Pq~qQxpnRQj4t7qu6b?K7~1NyCyDdXGxJuMInSWf5 zk=YL;#yQYDcvijsy+$BNlkEgiNrr>8Zb64>AzeNvxZHypi}F~{I+dkJV*RM` z<7)KdxA2dMECl1C(A$5t;b+|Ky98A_gh$)4EgX{juWH(TK@{xc)zSS2n790cJ|rm% zwec7w&7$CXq1N#LHaWZC$g21NL>G$2W*)Cq|ho zfm8FJbKh^9H1|J~HE3TX@@PqLBl~%)cdTwgEzj=SrLUhPj>DdxtNGu24R3PFBi+kR zkzP6r$cyfOB_1}FKbba!)W%|8Yd%(6kbHE87^U3kRb{&63#+}pP5RyTb0rHI{UN>_ z&=C8^l8wEN_PS`>5m1y9Y?oi9cklnxqVR1qGm!=(1*IAx zrj>D-i>XECrpg^&(`Aa)MlA}DB7;F@a(1bYmSt(uvnAv8rrGxA7CTFPZl-Dc;a+mgZtq<=RmV zs||2a$-1)c9M(`>Njy2PIK?W{4S3xjeI}!Osux>Uu9;VXg=lzKlww0x0+xd48?>W4 zuYpCCRFAg%el-ssAg`I5I}%|^PYIqLd!0R%?TG8|U>!on4)>41Nh(08vW1jT9J^&*a zUuaFsO^=i{sur-R_hp%gZY5`^VId}%$Vk9cRS!}Z1|FN~NTT|-1 z!jI}E+rdk_^7x+h>Th;q{HinU#%NW8lKKR`y3Y4I@=|fX=(B+hE3C3-V&~9q?NFk+ zU53C%Zk1;PU+42$bU)m5!waq@V5RQ!l*~6z%vNiEBE`i$gdq?kVHi=F#aMk9f4eX|6oKQ&6c#= z-S$W>t0}=2EEcG2>S%C3VS={UC{w5~8hFX|gLmeNP>GnSS~_Rksyh7(!jt%>P8pEr zRmgt(BH6o3v6tt>sseD731v<8nQxsg)&fgUUH&SQM$El+mz5i&!af^?XWVkHrv! zWRhG?9Bc~M`8qKmtz?%k@TQcKk+PgXO8p;~AJ~mo8y;6Wk9swR(cn{^8z-FP->XJR z(OHvOOf765NW{oG)j#8=dv~15yg$f&pZRR4BgJpB8Pd3)v!P#iIybo0gsKZw)3f8Q z5E5W=+2eWDScqZ^I_X&y(*d@^j@^t|$Y&j5ngYX*%%R>`QzD#tLtKLLxeg*o~hW;IgB)_Z^}9` z^+({jKG`V$U1Rpc*e46owL@ku+C;hZSS}uCqG3dN>M9LTqE_u8V9lPd5@>_>2*GK+ z^q*2w@DLF;06F+*zQ%gJFc?9mTZJ!gNv!1>J#>-_z5cWjbrSW!%0AdW(Rt=Q*-N-5 z-%?&a8VYuNFA{qRbWQ8|KD2o#A*yaknB}gear|nHJ{L+kTPf=7P|EtGvK1T>d2##F+JIXWqp#5Q{-)vB(acJl9@PuK(FPqu$@x`77CjRwf(RhG^DSNVj%YQnb+fM7!>5f7 zqpPz78{J$1-73cUGz-Sz{s^bkrVgjGA_1 zoB^9=d!muTZ+2PMUW#kQ&nKb7w!u>mU|vj0)-}8!bj5JAM11@Viu)et%$_(-eswsr z>AdrnqF4^e-0kcWAOV|KGNGZLR0FSRYUo^LAAY$L+lj8W|IMCo%ProcVnC?1j zZ2R7_>esn;&$5SE?AaP7VCkX%q8+Ohk~9s2A}=-}*TC3jMy%jNKtAvNpf7oBeyO-tN$W*n)~Yp|7916y5vL;p z7FBBZVi4*bgWmD9_IQi8XC8k?eXPGA^bC~*IW_I8vnZl670FnIY5-CvVel{P&45C+ zTFw+rWc&>0D0vy?xRhK}rtJ3eWaodu zTMmC>L_E##(0dR2fJ6uG+T}0F#boqY{wsUO55Xl0N=VDX zBR)b#75Y}m7Q6gL>IHh$C51mt^yi~J$ikTm>Y8Fj@*DuC#|QobGpmUIAaa-G!DMnA z0?&Sh!Xbla=Qn1&#PeiSm8rKUzSAt3rRVf?0#^4bzB+Y-JGuckBpOzsZL3+=l7}yD z^P0YFT01@6>p;x+A=de%MHb7);2ISKLu+-ayv_UQvlkpa$ZDLBn)HFCA8F$ifqDu9nG@dJRZ zQRtMKcPhoyc8;J0AyYia@KA6hnjm2N=wX0B#FDzH)`h?+&6C~&7W5zLPc|r%S!v?7$OG;4PkI_my*wI4Y^qYqB}VZ#ohLFc_5N=$`8^KY%>7_| z4NdnwWfQ+{L(hpYxoe~%5ghVhAu$>Vx0lGRP>VYdHI0f@%zb=}R*FbP zr-WuRPpC@ZDMWmZ;A=9Djs|-%;@&zL!t#tBYBpNX9`ye%n-=Z}o^P%cNx?Mg{qLzD zLn9Ya%2B1sAjEkDotT$Hz%#kiTy27=|_} zPISgqsAMqz!d>h6T>39YD|Cr4`bMk`SOhS}ZI}7)@U5_eDMhqUamuEc~dt@#CSOo1sXEv0GdbERn2k;D*Np9cJ z>~2U=Ye*r8b_tgh1o&paa~`E{5?W;F{khqBrSoMjTRUP(kgi)nfF0K z^}%`rC;fu^2k7V2`~S$LT!|9$IMz7FXZhWfkrp~Y&^VJxlk%GaWoIYktb#CGKq*`j z!A|e|TB00ZKU-KrC;?zPjY|IY@GE{Yyc6!+fmrWK6rn3V&olbSVj*>bu%+}mO2vni zOxX?YaBzaQONY$^xn`~D`}yL!o#MUSgZf$;J(Xv6Tnn^qnjDYtBE$=U{;>Brt|DDY zr_IypiYTV1m*Y50_c$cM{VmRC+zt^Bp~L&bVvV|Geq)gCeGBE9bdi&Wf|Jb$(<+6v zv1$&TMNYmbK^rJvb2{ToP90m-;Ab{*?*=p5@TR-xfPie?df%pq_?&|+k>NVSd3DK7rD=Qi zx$Vyeq)Jus>@vc<{A6~?Se2Wm#RE|Il`{5{P{=L6jD;b*lxJ^{y@at&Z_8Lg@E^zS zHGM%<G74P41f6`f^jT z6IZBXgWnp8b(5%c4okS!acP3UDzKwoTeKm)Vrr3X>_vApq-0y&C;vj8GK@#IaG3zR zn8WjjFYV#hX_#hyYrBDkf3JcKetEcwPN|3(@ZS8awka4qIB;q6fal-?ZkCviUR1T3$>!k4vb|li=|NxX!9xMt zK*tA8eU7oOZ|WfqE>Ke8BUy;{a}9#6);&6cNVRjnWW5oyiGBp=c>W=6jXh_R=&hlfoac^+2YT8 zhQ16lIip^GKPk8B-N`TAdL?M4$SP-3gAoN9TgO{VQF9&^b6C-S+x4n0+h8*>r-DBp zQxIz*o^JcASLk6{n)d=jtl)CoG=Jh1rliy)Rf%QagszTbK^O&6Q!1B9|xBsnYXQN6G#uW;)FmBIzmJYuBdAcVeGIXK+;qlv;mG^78TBedFgl^>?`W zvgJ^GA3q>~*v}<2O^45r(y}HZMa|*jPx04g^eRu#E_Z#?xhPZy1$K96wlDk%h(YTl0AA_LyFE zX3alLN##uDZXAMG0Jl-{)2C@wJ#JUxruWEC#itl)v&!kwSJEuP3*5#Qg35B7n+uA9 z|Bs^cerL1&`#2G)M4}Nwgenmcvtov7Ya|f_v3DDL?{TB!mWVwXdlZdXt7=uzW$&t0 zMQKq~=dF8u+j=~I!FgQAdHrx6pU?aKdL zo0vHtzaGk0G_hb-HS_l7#=~l09qNe>FvUi{^*90cnW1`35y6r074N%yZIRjs2!_8^ zC;pU_y=C%Qp#0D)IZ(27Xh?tUQgCp4s>A)VLcUU4lWsx1{O@-Qpw+=0+}g<%#nA+; zQK~S+pY+Zvx-qdVaOH7TSdhpm4w}W14{gX=Nzppo3Hd(3yficJ%hbWSyz(~3Y4cpK zxjP`zas7BV*D_l8<=-Amj_65+oE$v~*di8sJh-oa^X3zsmpw%1)z2Y6wxj@-D9J5;SsfOuwAFNK?C4?juODEL;4n%f>iJ2KU<(!36Z_!Wv50a*O zvfqt|UUj})MV9WCG&b37dzYQvB^!9xi-qOniw?o8)pEkx#pQNX$+CH;lq$|L(M=%KccUzFQ_p5lPhrv$z1KWi%qWM$_(efj9Xw$Jkg>rqqB;27Lksn1s3D6eMj z>4SIw>mbAtZUuQr7CfNGbo4M{`e`DByA-qX&)^T<3-CdkfNX9`Gb@sEs}YdQ!8P#G zb-2Dfi;W}ycqTc^O;UB0mFJLmZCgv5LYz9wyigq|q_1cb_ik#i3qBOp3)EEx5OQB*;tEU$?Kfe>bGd zOVrl4p^clsPQ~bZDz9}{17k*$tI0^SgZF8j;5St-J zI&tJS-_i#8K;vPF!od3tOpQ(&_=f-8nLJ`NCLgUm^Q3}U>s3bR#E^vw^q~GtI-_D1 z_gK9nEl!Rh9$jAYLqBb`?yqLfEC!I3%unJ?GIJH=2aUj|y5UH{6UCM~0i2Ref_#PT z5DTUje*_SbN*+}d^NQbMJJTnsb);PJvMKT$X8`(EX?m&&i@CyIc|^-(=S}I=U0qBEW;s1r&YSfG@CdBsgR0RrWr&DYszw3tdq$?Jg(cMsT|dr z;3ny3qDDQT)q0F8``v>hx|NwnHsHV?7ok09 zt6T3pZ|N>eFuI{`>hcAS&aly%^8WMl4&L@Sck#TX##ZN~RyE6RR98lOo)l;nA?OgU zh?g~kbgK^EaAJII@DIPJR=caIM9a^N3R)kMipJJ`g5v&-TXfNF^1I`~urJk6@q)?z zm{NSR)mUZLb7+AlX8nx%E%DXCwiuwJpW@W zZG2{CD+M2cmrWQqU|}*dG74ZODGsUg^kZgXaz1bB{cA5xab=H)vO`~UGzUFdSezUG zje6`NaafgjAO91oFx$)aU9G_Ln(Io5Un&Jc$`I6zsTB{J%#>6pzsQEmR*qF(y}yN` z3F}*1L8nT=GfT~!x<&2$>aLU7MIsdYiEmGyrm8wr^h|1m;Qz_edpy(gq?>+8UX1Ej zE&o>C0eH_tcXg1QN%i%ZUO3+aO`i5}5Ku#129s}=Dx&n_9_g8B2Cd>l-(hF8Y0l9; zdVPmPyPLW(4xZv_VvUHq%%}7O~ zFJcHT)=j8B?#W9+_Ln`1>XAXntB|*Cs8@=$3s0W)JD1mCW3}?~Ub5&g$-XzWEqfmL zyuHT#P8o>!0U+iblL~%*Byaayln-Hg5i1zO*kvAmcXdyGq_8!C!plu}W;4DKX0nxt zdg#@O%u@QGM3@mkUh9KolHO#+8XZ3l^z}+UN~9q^CXwj8`6P)^?T~qKckCgr2)1_= zOg(@`7ELR^K|irDG|sdK8)BPcvRd5vOM35VxH+@}to*+BZ^Lls_|eO9_)kgWbnCOF z!An<{R>mHynjrYh0ID|I%@(J$$N0)|O%fZXVo6^9TQ0Wg+Amc0F4)hAW`f#c^_}b6Wjx|uZ2)_JFJW+Q0`?IWk=KX9y|mCC$_i3G_r08)pJ@Jva`qR01Kpo-Z9 zM;~C<96AsSc3v9=TX7)rC|;=-@KV)8q=e5$Y+jKvgpxR+_gh8KC-gQ2LH#FH12ZX5 z^Cm}U*e^SLe^%vb*~a@F(WA|FkW*fcSsc(td;4c5UQkwKvTfiFsxsM%^AlV{5iZ=l zE$e#cb(QueAE9vOgW6^($aJJAD{`w?=Y(fU)sSJ+w6Y(T$;1HZ;)kpcs2H6ZK=FtwWAurcIEFv%ja&{ zXyxAXrwX|Mor)qP3s2T<1wnM!axhL(3OG*IAw_7f3SwkOdQ)(+Hio8NP+f&A=dkfg zOqiwlpq3#NY|y2FZQ>9>ZuK8=+HCby9bU$Y?b_`q6`yBo(X z_onJdN7h#CrzgG&K#!|C3EPbjEHClxjU3{OJAO&wJVnd*l~YG8`1J&Q<-6w;-5XyZ z90OK&K9*%%S(fX!AxRY3G+8^+LGlmn<*=dd+dOqu1?+>LfJLw}eH{zv!Yk$OI`# zMY60<%i+$(jiF}-E3}AP(9(lcW9<^_vOeGcTRR6?W^M3swG_&)o|t z(8;H#$M2!}ydYdMx+TYVKL%Rb+S0|6K6# zvKLP7oEh@@GrF}dB>MhXp!BmFD|5F)b!-mL+oyT;3luVmwK?w-S%+HB|B3HGUE4O^ zzfv}BmAQS#&MG!>gXb82`M^`2h7s=@T(sZWP2XuW1ox^>;IXU?Hdk@|YaldGx1p+h z2?F7Mf)HCH?|K?SUvmgx%Lv=ao}Q@FPo3>CSN11r&lsXMB0viH$=K&&j{QF}L{iuv z8dJ2@9S02T4thyVNx<330>HK_-5$7?VN$j;?mZ#Bt!#9qb-1<&ORM`+)h2 z-N?2`8oBPpW-L-(#lGPEvGz^aS#Uah^ocwFgt*d3J7^GK9-MuJ(@K zaubqB1aJ(Xy70;amlA|WZKOuAHcuccEaAd(tRX+11G&>GC|Zc9kY6sVOmSPv zy`3$=n{RyR6?iPRGHt8EWLNh1sn^9Es-U6g@7Rc<4cLldFXjg( z#`e8fuO}deuw)r3A&J{GK`#GeY2!8W0Era6lq^qJ%bT-qXf#watqCN(Zn1aF@Lopy8NGlJg)i26w3dEh~< zz?H!hk^@8F_CXCTrmohSCT-{*$M6(%SR~9bA$OY$Z2+-MzE6zma=5yTg+p&0UPVJ% z+|eIS%Z(2!MM8%+>9X0DW9r(r9*P#8Y9?xQo1Vf{ksJ!@rdXhT8t;_Qdl|0pbE}ru zRxJWmBHz+tanniZyRSKO?HkwjZfLDv-A7Y?m8pz;`EAPY_4LHII+Wjeiz#u)iR7UpdaN(Cr%XCMNt6=EB-aaALo9P{g6W-0 z3#1K0hwG60L&$EUR=jK*e*aA6u&z{wF!zziddgL@jb0rKTsm;5+CHc?K@K+H1FIYZ z8yXqK&m<8^{SazhVVzY{rKZ;jciM1T=b#$ZSnapRLw7;dHRI}o@dTc+1ljytwM<`B z?O?-l_Rv&iA*lAU2p(&s0`$;bnEeou>c*8Y@Enh^np@fuJ|iqW8vp95GvY((3rfu< zwEJYf!^vCUu##m%r|w?}*(wys2N4U8_Zu=T(oaHrxV-|+jiF}Y%O^G_85?9*NKDH0 z5x}Or>;F~(PwOvyb@5?Lq`QA4$=d`YXD(DpWJ{;Q6V5XQfR9!{IW75~U1iigGdHP) z9q6Mu$@AByOX+X=#35!$#0qfxA0MV7!e>PKD@vX<;(4gkI`B|{_D=+qzb09AJ!9k( z#A;nsbiKH^G3g$SCA_qYqk+Nu$0ffQ8;yvTmIvgVcw~)Q$cz#+oxq5;4+>uz5+Nmn z>x`ZqaYv6BuUMlIndyWt=3nvoOk~JBvG8)h3gpM5hx8VAZfYU^rf1;Z=|@&^0t4^A zthWH4zi5=(8gqqa?Rj7w;4IGK)^o%{^F^Mc@AY*CNUIyru z5+Q(YHME>Dn+Td+y2o$%qu?6e`)|7u1Uq>*AV7EXLq6%4B+=xmqxILX*l)}m39^Em zdj*Z$ytj$QTHQm$_EK~!)A_{CQvs`&3E^j4Jl#*Q)$bkgW=<9{=TaxxzLO~seUl@U zxcmd4HhR;={=d;0{&E9&2+XC%)L9~lK0UVn{iJuy| z`a?}C2XrU>QGO~cT|Red?Enr6iq~7bv&O z_#|FFbcM!g%>y5I8B1b_3tX!{cITPE3(n!?8tPu9`ppOL_Xj-%-_DR_sd~@0%zSAM zk?`*Xm!->CuMt{`0ZX0d>Xy0${igWj-|b%?$%u&|Fp;TH!Ks8`-Mxtful*ZT^?^@!*#2Q zVNBs`$^W&SxV!fiDX7jr>-NR!=iDi)k08;_rpJEkp((u3h2zy|C$*LhHK`rdt^&;@ zHrx~n{OS2p-k1>MRQ+X5s#3{XP4h6D8tt!YJr5V)`-reUYbiOFp< z0h^8E+3x~gD%xTc8$0PUy~uES{pQ@pr2WL0T{>6Mx2Xt3n+IoG6|!rpPbQ`pe}9hu zKI&x-;Uogr2VJgENv@Blw>iixnvdBD<)BeWGjdu(} zCn4FDgqUOk{tFhHhTseZ9)2~!l1!GCUeKy@o6@xD!rxSqA?vJ6Jzh<96J_W>)ImYkzdJoiF<^{ zQ+x$aRj=S{Jx5a%&7>Rop}}DbWkHqKz?D}|+5T5VFidf7XNR7xi&$R{DYOVk%DO9~ zswVmV#uJbEp%W&!!NW;NuKoAeM7j_!>O%+CqLy(zp$2aK+_O+KUT@8_xb0di^oP;d@)%spDHn8|+Yx0q9_5ZD>BS}$e!^V{}m-} zS$c9fXZc@x;tAfzanRZGkkgvvBsJV4#*8b8c#UyN^HbHh`i}hyHRQ*~;s}}3I+5g~ zm}|t#PxDt?57oMint1ayH;3XF_j6Us{xvW(DV02Ft5pMZ9sg}wxO?p5_IT497ro^6 zi$(22&Z75*U)^)-xzeYa|8Mlhw|H>L#hZ^xlV29)5UhpHJ?5>X3f`~Ic!wt+0&~fg z55tRJWh^o2R7tFnYpjWg3ZKIIC(R_5Dn0jDS$#Y{SyhWE_Id^TKg_8ImXgF_%|@nz z)S$2duVy1}*sbykw!6)Tdp~1M;`9?Oc3&`hsf4iXivj@E1&An~8FTQ-ymZ06F(s~4 z(JJCZE`VJWTz`+CNSrBFWxi@#)%S0?)}cgea|v8bU4X>w7gpDH);v;o9~+3ZbMCM& zvYZ`o=s1jjkEz!gn#-v%u3srqzG}`jimpc?V}{h%5MNZy7Mv}q+L1?FCcL9fbrK8U zTP|#7UiDr-dMHm0dABN7wWa2*Gcwm|y}TO=Y0EfLO8HE*=OD}MDP@V>UMcFH%2VBX z3UlV$Y+Ao|+oxVh;~1v4(p{I6+z;tLKZx%vE=ux8;FjpPx_aJap137)1BM8g3kweRY(f}V5(+L{w zvsE^{Fc~*mxW8~V;eq~bz`9n3WpR#gEwFHOQY&=t9%dV&6f!u4{hpZiKX7bw&Am34E#3#xsL_VJi3NK%saO ze6KvO!pzv@K4M5d!#TTStSw6g5F)o5F@@{?%tB}5^YSBb#n=afyVoomB0_!}+yc<<7B7c9%qy8!089`_a|xZGOlczc1yclb!_`jrI{ z&0SY}zx9_xe*_e`bM5a}SKM&m@wn@Hu`+B2C#kDF>rM2SC@kn+pU-sRz`)luebmF6sy0U6v> z<|wqYH^;_ct%=A1~j&Qg|cAyvBuUychUTGO81iU#Yd|_!PBAIZ=ws%C%*bu zIrPjH;Q3SH?ojr;6@xJRxyUpwT2&`B?DSrq*Ci`>E%2d#(e!W{Q0BCSS7mf+8RH4a(6BRZ&^C_%ANyoL>YnoH%HLfJSp|WP_tp;!qPn(Na;+Q znk{;4sy9{pRHZq#?tt=WXQ#yro(2g`5>RtA&K#?l_c}y+3KX{M$Scq7Xz1~B687=u zlmoz)5)B*6%O@ORIpCHA) zK0Cx<2;$tbhE!f4;Ow{J{w+_%Y#C?jetL8+U|=zDj*(d*pzQLnTKWt3AIY~rqFfh; z&VOs)l@7aatd-C#@0Y(QwF3k=U)`JxEB%UoO1q`N+kBFWA3SN4HLuwn>^w_KZn{CcTtx6WqiGV}Nqjzo&q5=2{A6|~s9ChYZ zJ4=Pg#Ri}p45v=IV5sg(LGsQ7){c4}z|1)}&!^+6+-w9$yKxI@PL!qJkz1Mq4i(6^ z^FNK(KYeQzVAiccL2wU-N3{nf_fh9{fMX(?6B-et99%?*N#zrJ!Nm8$%V7Zpl7T-F z-A|?;h37sI*%E*<_Q6w8l#ZiFFGXPq?APT!Jnj9vSU-R>NtW)(3&Reg=hkTt_nj-e zlE#yioIz?8AG1X!ywICV`;0>!4TEmpZ@8I`O-5Dn?QqmqoB2NZ+00 zKCnCd;7A!ZFoAyS1kqZ4id9}nw+veVc}uAxI+LcaXAe+&D-=1WRPzyXnq)U0ADYAt z$EX}t1JWMBXio>GF~lps_>3voA7m)b4YG}d&D4hRRLP?(^k8OZaCh%SS%c zvQNNStDgHeH5NV}W^Oo|cCT$d3O5?IOn|LGjB7}VK7scHy!QI+WE z#)=WV24$;o_c*UyOGi%r&mcA;qhpMxh?6C<4G=w+oeEw_$`G*%Y@a(nA8{eS!yyHz*6lk1`G2ehr9jVCt0^DZIo}Fz?cl3L! z?>ko91AS52I)Dlm4J7G}-pP6PPCjwFIJZ#yDjoCL)+mIEm3E(ed3Jx0BC(YwBVN5b z+nHr{=>sq*iG-#_uzVxteC=~`1xRvCCzY|W^ZIEO<`Sc9yl~M5o;({C=x^~1$4F3f z46YPE6MASbb9=B(y64jC=@t9?r8&iW*6PX!2e@OJ31YB7U+>s&7bPlVhXo#U$p7g`>p3P3NxaF`R7+(G%E<>_6`wEr zw`Fc=Fg0BUJh(P1@)DLsp~!Bq^O_&a7lNAmWy4>*wCZv^ZR08nc$IGDhp8&ya^*<5 z9U#SZ59L?|vSLWfR6%|Ags8fPUDY#w$#+w}&I1^6OGz8LcA|*wLx5vjc-)&;=2r4? z=7)*|1RFAw>~>|k#C&rpq^VOSYtH$lOO2ZAT$^s&=;Ly-uCpL9-k2CS)XXw|QaFg4 zrD$I9>S_evZVl|N;lEP#R%);Q{n|jwCfj|$TYYC2Q_2IuZ2@ODCDe_;sdECTVF{~o z2;N)nO<>Q_P6Z*0{W~J>$U|5HNfmEN*ap?l?MT8?KBWS~_G>`GBWodp+%NxmX|SGE z%~`PrAzntG|6&zqNlfd z(HV9IX}~a91a<^iIB;Yi%+Uem&h9}%)Cxfzer*$LaY7Cswk?z}>JRpvbD8?(zN4)A z_}tyD^RYa)ec9nMj{`E}mE`W#lJI#0u09$;e!duQNbzA5$N*?=9%!PmZD6JP zuG=KJyavo36KEI=jM2D>kXODE5cT}3NRW-KlJDOK#;_xNRNNASY zz0Mm|Kwja4?|379(r{Plt}p<&jf&_pn3ha1SuE%0H*Rs6`p{LHB2^o9JKx`JY=Jn- z|1tB!h4`89B#gqcua3T5V(u11pLJSmj5Sxi`Q~k?$`pFrTXmL!s4@Z{q4{vKU}IoP z$a|jKr>@gD?sSenZ6syMFAcjRP%{X&V!(1co1n%SDh*q3zF-ApIs*JgtxkSn|hjfe8# zf)1_>ksM+`*xweUu)XhGm}7uHsow}*%0OwpORa*^Xp2*0(%hAn zcXKlEc#e{9omUTqB&4P)&-_a@Ifi0>j#ja6)`IN125$X80J8!JFK;2v3PH z<|)l;WUisOJ>zIHWuV(V+_n>f-x`5nAh7op3b zlI^X0`R_d@DG!Y{4Boti<<&2}0>lv}g^M%bMCX$zw=By^1S4MO(!12OVk zAcC*?N^S;;1gAGS0{E%lBATv*ie?%yvOkE9$UeC;dM=Ko**V$`&nfBVm6*`FIQ2!d zgDdRE=dxTV)U&Iw5{d8-P_{9nGHBGl2Z3}AIfsyLM`cN+fa?MIwX;TBjYS(?gLP+9 zOntT_NK*n-<^wfc-19{_&Y_%DY{PpV6Iu5V38_I~#U?nODN(@?-}d@dh;XE|#+42T z*l&s%j*@M@+W)AVQSruyFtPbE%C<+K)M{IM9%mQ``Zx$%y1kidF`ym4=1UA{WW6Eeh@sNN z4pER_me`KkAb=pu!^$Wtnk`-V9+;jV`^JOZPUOG;DcZ4Xtp zaVTDfaWXos*e%>xZzq?xz~5(d2~d6GjsfTLePJDgh}*sXS_}Rfa_NwFd%=&JIbotZ z@pl5mBKOX1T||@3YeS;?C7TT<>VO z_ca8oH9l=#G5PbJ__t8^u546IHgc-j@O6{&xwZp&LQFI;hR5 zzBBP9;q2j}YhrCz4;lD)61T=pDp%Q2H=0rp7h6@DipsY*yTeOWEp4<>F#M-BhJwN~ z741ZeIH3|m-h37L^g(?W8i;wz<=6Dk3I9DL;OrZBVrR>Lb)}4QGe2f@K$b!VC^g z#gcq5*xR`DNR|2F!sqF7Q^&l`OiJoT%WeC#4Z5T*g1d(Z^Q3kK>}HkdV@VFwCeB~1 zg!i+$e?T@*UN+CS#Q#hTBNZAWT^(sp_7%$%ymLr2vsnlvim5!dZA)dqvUyKYQCMh! z`N|GklvOohaU^@R;4*wr8}ww@BrhIzwo_fCCE)?p&6JnQni9o{JzDX}P^eWz2C*%i%xe*Ui* z+Zfa~+UH_KKX2WYM07vUoBpL2w<;A@t@I^xZeYy!N^e>&cXd3fVoh}lD{ji~<#q*r^P zd%V7~kxI|sq+0LYRDX3tTOmKps5jimMz4Cxz?5H%a=+Cmu2cPy(6(pF2&&4fh*PR) zETxZ2*2|P-?Zf0hvto55G%C|v{c5Ey^cA^C@L6bH?*33U$NQ|oqlg=#)F8X_>mSt{ z)#CUb0#M|Pah$X@Qae{y+VLS9Frm*2!r9Vho|X%iA>7>Z2svPx(rv-3kw+yuHK7 zBbG%85PL0QoK|VGpY!Xre%{FaJDCqGbw})hyKnu^yHBhkoun;Sm!R|H74ywrH}H zRIXoe?YJFRD#LV$$jg5_e+}6cI<@D)`~Z8sjRoeyUpXJ41^EY~_T^-?qYwQ0;;;Y8fgUafm$Plxx;WZC<*+tvGHWqeb(2s1DK z@P$WH5aBF~d-^@Um%OxE-IVP1e$^unm7kish!Q2IIF|3&rvd;PQym}9vHOod(>}_bs(H@&p$9!9|d-SO9E*U`vHn?xB zbOMkuI->KmVDi#DPER85iGzkQZ)W^s+7JkwTM>x|{~#kX&{runjflQ4Y_PJ%*aDFB z_vf8CZGX?SO4XkD0GmUK0c51uq^9Z#LsuK;42k=D(4#joGi*C2gCbPX|WMPX!4YJ9Ed;U^xuNe7wu z_hoqGIB@ip8~Lk>N^Vpt0XHoQ)rmnyh=d>ukvc#Wvi~GwV6&)guDstkB>Yx>|sE(2VQ*}%A zf;h+ePKfG=9VBqL7%wV&SU3tf%J3zkG3kK@a!Mg|E?B&d8CbllD^Ul)nX^J!-Slxk(vU{si0P28(8Vi%%6HZHtwBUevlW ztbJ8xJ6WV@Vg+a1EWydaXq5?AI*T)HDvvn8?Wvd!6VwCxmScb7NR)ZR(fy`sj30P( zvP)VaSY?eG=1f;j(Y;;5aYAhp-EB>$K3q#yYNuvW`a}Dr(g^=JN|r*DP#`ilS)>aLMPS$by};XlvYxtf}^>(5HAspHPW5L zj_fN5_2OvNg%HYGci+3|B*lqQ2it*#Dli0cPH^3Nz$o)p3Ju502&Z-mMq}Sdj7?+}3s6qH*;!DjOSeIm%7}-?3I_DH zr~F$JkaA`h2q{NETiE?2V9Q1(&(tPcp#R~QY(Qcibx6Z?rQKIl>Dn_IFP@DpskVfQ zFL&2E_50T4L0%6W(_f4DM@;%xE3@TnD9Rde2deT{%pz8ET7B6E_QSylK07ew<^nQ? z=50$-$o@!!m>c(4uMGs7>~wY5ihxB5K6sN2iEDMZHFM*Fg2u6$u*lTThJ7IELoGVY zQ^<_EVm2sj>$>o=%4%!ZxW?;=>k)jlEIvDLqun;gAcQk?n3&6OnxK5D8g&`30`Qj} zJ-HN>{Z)FSTef96QYSh_DIKZ#B-dv|l^Ytq4} z#rgj#xnzBWk))@VIC-@e5kXL{e*Rv)=Jv92zm2E+$cUJcN&{gIJoH|ltz+`>^^bTcH+a_8@MIuFO9FlfG2`2rB04orVgYt$53q_v z=V=AN8sVC%%J}Ta%c83IlzM^&NX_e2GiRvfFVuamBz$X?f03WqU+N^z)bxdKkUe z_d8Bi_!WC5s?z0hnLScMpa_z{Jqg)szoUH8{~5HE7;GY0jB@nDTlhaJOm*sZ7r$1& zOG^j^o3J*^%XXqR>s50GPHQ#8yDTzn2JWHW5K`J|^yc?_h^Gt`3Rsfvlz?V`pR4rREM9R_74S{# zN8OB2%SPB-y)_u2rIC84$5)PyBBa{1HJ-{6Eo_B~8$9kU`*1rbvMna&tVfQnTKmqf zEn}gdqTiQuF`i-ik|iUpltDg!8J_PVD<*pQH{(v?)-S1-5AedF2bWxXdokiJWG5XcR4NSiLtMCnwYPaxBwA8%nvyf)sxKQ7F}oHU z5wPP7$SNJs5D^=CAkcr?=;;<*vqNV!id;Jm@|V$zeK%>&Q#1}bx* zrv`zk-`xCdFN1kcnuroL5L)pIGEe~BjdlKmr^cRd2rxFbE{bkaXbYo-A^$0hzocKMJXrp8YxZo9pT%*&)KCZD7^WwKHM(+(kQ-mXSLG)fJ zMB2&6ab84!P{fY!NS_2l;{AU+p>yU@m&D8;cf`Gl=KuRyra2xb87bVuqjXy&CYW;e zRuZU~*MF#hxtGo_(HK)MYjI=1zc1O~(l?bGn=Vc~mTp5phq-9&8Z2mxm5H&(hgx3#JO~pt@qEVTP_#JN$VP*5Ed%Pe#Bs3I*d;Hr*z@ zVhTNN&rI?L5f6QQV|+!2;0bqH2)0QY&Mwv8Rk zwpF8#T{>%|C0};Rq#L@+^=_hzJ~ou5MdFof9D4RKg5-=&1xX{DsIZhX59?K*h{&hZ zB^h7@d^GtD?ftTW5jNm|)qN%VnYPD9Z2LAbY5-Fb0sMndnoHN*9M9U@%o>bWG%G|> zzX-nxkhs_N?_EBL3a0r$jmsS3l-?0f`lEcvP*PQ$^X7z0fv|sLMy_*&OWbn#_z?3k zg7t3?s!z_m+4HQU0`$3IzCe1wVwaWk=QJn@tbA(SitA#zcm zzIe6*7wB3jd|1DKu7^j+E}Hz919(0lzVwl&(9k33r^#5JMbD}R>wlrx`-0O!V#dTecFKe%q1Q#?{vj2GoFgj@2J6b*_3 z0&Ughsp?3g$NVX`NMtN357mt6JEl(Qs22OKE(nqPudBSJ$;EMv`Do?z_kaGiPb{mq zx9HzS_}iG(A#_uV;6sM|L3jKnMREu7vrEV>#YxcUwfd4(WxHbmQ-l6Fd1oJqSkmT% z{TH+kEg7IL;V_H?<2O-qgHf@4Ah4Pw#B}9XK49~wM8|7G@A<+g?SikIeDX~4Qk-fd z$*5j+Jgf_()DER3N%xbj@V!?voKQO>VzfCRmS862DfX0yPAr2DH>ApSCj=xKc>uUh z)wWSUNUZ3k)zlIS$2){u-8XKm8iQJDPfT}s659qXf{IE2w$E4{IC5S2&DmyAwYlc>v$Bf z4*1SdykW`*E=tcpXAmMp?T8YTLVW>1Y3@q4mtL+RKryN1hOL~IP5ziV%$xyabRkqb zylo{Wvql(CbI_CFam^W~Oz zWlB?4y-zq0xg6k&12Mj1xV1(q@fFMqq|ok1rZ-C_HA?o+3qH3|Je*C!!o}+h2zAQc z#P8mkS0{{hyS$YKz@^D#{v9M&h6ixavCDUgpc@#76Us8`s@F3g^pdy*zpC^W?K`NH zsHA*I+{l~o8c>Ai|HJnv6P9{XFE&^sB z@o*^$*35#3JHrJ&)f~B6K7VZr3}!#(0O5JUWx(JO3yAL4iB>xQUtxj0TIo=DBRNGd z<8-tO?leKM020~DW89kABK@-4XwHrwr42I|wz<2RzUAUMAH?Rq1uh%_Eh2z{GGKQC z@s3+R(vMWZ5b{637kcYeDIsNUfN*f3EwJ?YRm~4*?L$Sb=<5=UVxgeNJd#={LiEC| zmMS%U3cBPie7~u31|)aARD}N;Db&G}Tz1OY+Y+=BMw+if{4ZVA>*OKAM&*l$6adoD za^ci(wfTAX@gC_ZxIp?KLM2c6+yA7-hyQg>>h60I*Ji97n0Pw#wqMq$a@k;4aeG&> z`lFb&n0V0Od(_oOADvCzEM9eW_sIC!8{fW>f`|l@B0Zs74oy1gYW57lgk$XBWUq>0 zon;;fndo@^qF~6JpwS9U7%QL~$&f5Elr{oC>XLVylhZM_)B351i5BN}ig$N;T=UmR zeRk(h^t49V2}_wf-|QTB6HT`m00pi?(*f`ZWqx>%1InATF~s#xnrE5Ah1z+*fee7A z=CB>pCou#NxGC^>^S+{kqQ=lsm{|0iCipHFhy?kJHr9?@bd~)r96l&^xk%XOo7S+r zXSvG#oA_*z0>*%gB!A)3s!!2VC27@eO?_NpX|2fRe8KbbJi`OirK!3CBJ_$h=j$=2 z-~X0+(JNI@?eZ9PO66|LD?=18T6w<)g^^S(V#dVjxGYLNYA(yQGDX+M7#tOX%F7Hg zJyR?laMB;ort3yXYe3f|W}}U;mHOk5n!u2MTCO*Jr$;?f~(!7@fcR4+jIl|r7 zSJ7lCz8LK*Ua-an=|YZd9gmddTnm&Wdw4TSNFc&)@K+12H^DyJ8R)IP@dxo7?o|*0 z_+d2OVxgD#4p_w%%uVX==Pt|*K=TGbalk9N)CVcsk;F<6kB}g}+9!xdFo+A%y9sLA zT*|yeYCGzG#2}ky!eF(?&N+2M??Rg>>`O7JD5kt%g4qpuNji5TD)jz~+ahK$C7;HI zANp#UgQwFPr~YlKslH~ZKL*~VXY)=&Vu6rh86Nvo4cgt2bEOHl<&t6$F`2@ug&Cc5 zLueI28DE>zccCj?f26JvZk&E=UTXQM<+XX4cA524W!<;R<2(V(Z|EPrI7b*sg;JZj zBgX!5NjZWa!|@9+VFo`i3|Zdc=$V$PWHoLrV&7^O`v`ysGkE~ zm|G}}0(8m1EO=mLhC(}@`!A;OH(CK$bv@iBa9;hbrissV)nXtI*f13E{r%FhFX|L6 z?UDUFGHeX?bn-;3wqAZfm+-ld-yOk2`W8sZ5O2BT64L8`J(k_t@j_bYCnmOtjZ66= z%wgN@kH&DNzAv(ZdR8Y(Fzv%%MdJP-Xe|ZaT_@H85x=@U4AYdS*Zu1LkD+t_XS)64 zxWk5xiOpdf)yB-Qv3Jz`+B~fuP>}W|6Nwzc$Pu@XA&>ChC)7N<(5|MA9&`v`R3mG zDAx7!RNiY={Ij--j>6G)d z{5z23XMdS6sSk%*{HhP2`56ftHYkK`8?pzOU-@9^E%c<^W#hR4Ia&nE6`$UH-D@J5 z=Oa`-Akmxr1S!A&%Xzi9K{H@aG-2)8sfbFkGxs3Tsu>c@Up@Zs<_M*l>o zwDOb66kU-!nPJb{PgTW#d*tn)(cORP19se9_RtPsFm*4@AMDalMSKsuka#!Ps`d1X zB9gvl)nlv9!AcG0JI|@Jx5y96bgxiaiDe?i;;=@VP||U~!HrX}l~-g$I;7II^~tWn z?w=PY)YY@pHo>BE<07U6YmQWoMpn&WgG6|<+E96swhGDV*cG5SUcGSuYNI}2YHq`B z=b6K7jo)&R_G*Hb3YYumMip#utI~ulH-3pa>%(Zp?=QNIMX$s7cNIKZxs1$6p)UbI ze{9kQnAU0#!$}ph9z-ZF8Ys&`XHdjUy&|e9UiKi~?X!d(w{ei{QtdF5NlAz{&B&J`ie!ic9I7`nL+n0JG8XaO$nRa)pA<;n|FfQNQb zB<8;Ri)r1*IyNcy=6Sl0GBz;F@#RYax_3aA`6)$Rm?$--nnux10B8005U|qA5ocK- zqoo#(-jSmV^}egj1ise!Te&{dwb~bAJbQKsqx(r;JXQDWh5|%}+Q4Uc3l4kgTr36| zb!09{UDxbo1d6s>q&EN<`BSd}guQcRCF?v6 zKbp11BQ<747Ho}(sW=)cL!t3*$}#89QBxq63kK`Tk?^f4~kvrbCXfm zIQAB#7}-h(t6M)0QVy)wI!u34&CQK89BheWC~WIiK;b8Ynk0Exx&N`-%C*{RvoiX$ zw+z)1b{ay}dsV~TzE+#q7Nw-k&vYrz(Q_G|^huKs$V&#u=`AFWC@X8J9Vr}FL-u$_ zO}=CV4|Hlj=5dYobVhp*LPRQbY<*!swDm{s@NuFPz=W!0A7~-WOy#%AYjxV;JDfTX zUgH0n`F@B=ppGpjV|};W>@_!Fn#yf!XOv>?uN4tke*l372W5{A^xL(ziURy}h9nJo zd`)o|hSVi`>5u=&VF=umV2MGc)Q~}flcym0g0FOz3r`8o9}j)bmCk$kUGMI-N0xSV zv$7V%{-wAfCyky_fDIp$^gca2x7-%C-zDVa?2sES2D_2=q$-%_Ex$>9qKna<&~x=u z#uyMWOWuGe+%8~VJzLdoK*TC)??wm5;*J4)_p2Rm^;~>3f?95luHBNzUw~E=OBHedYk3T61!5#%G4LQbE~efyP=d zDHCBqhviKy0@VOzKU|IC?{cfpi%F(7{T-n<#cf>RRz{pE?%mrC{!w0k{$7yDaOkve-*-YFUroaC-evzx8+zdooYt-*GE z59x7>?dTQC{y5_L;F&6TK>kf1A!nd z1^MW>m3DZjciTF$KtxZk#q<^OOXsnp!erC=ZI>%?N=^62Lv%tyi~n({Q@nJW<&oB* zU_Ynggfl}Km3_oFC6B#^-{FO624C;huCRsIDHKuD*y{BG2W>6j(E)FjoBT|nTuWnX z4gjrHBc2i1n679>8X15Qwk;cZOYlcwY?;^zS zBD(pEKzLvB^354xCfa|3P4hMjuq(68Z@gW<0y>_ zhO~np*Z>~mqUbOx-FAQ(sYUn55OM#+_-9MpHZG|(jH{0SAK{1t~7r5 zEC&~AW7ViVo7Ey)aWDo5B%nEUvMotjUCBtDF~#Zig-i#b3ur*LV4m%4g-#IiXmq*S zTEWd93diTtbehX6ehqY5D=XfY*36bJH#^WcDh=(cWegQSMkf0l_8|V0zvP_|MDL@% z-a@n>w$!p|Tu|zpS)Tx}(b8%HponU_x z%+gAW?(_+V7gbH#qOC^fA)BdexI#4`xPVF;-tGsehwElJ|tOBi^lHOz#iJPVv) z-`pEigk_{%EKF-J8oo?_5HOTt>3l0_Hv5mG6`!N85|q0$o2#SU90_~qOG~vpU8J`K zOr@7%wQ@{7giQq}ese1PWF*&<=~wCZ{KuJ#Q8|*x=A?CQo)28eK}p*oix3N4`*A$+ zYSRo(`%%;p>Jp%rC3zYyaxLYcJw7Ezu#8jF+?JY;kZD23wVq~A*~Uralzthq(q>{} z%VEDOTKCIPP5Fprofd6n*-s|T%Z7T}<LM0KQC#Rk+64`0ber99yG4WOxLA;Bc8rIGmfUDTGji#-tRvW-JR>kzK3fpZ` zKxaXs@E1Mic)&oG5a#j(vOE^v?=f!zA5j%XEd4`EWZY>w_9Sh#nk7 z*FUtztQvxYWxo2!R~sox%-dTIlo+a|o1d;W%qP74&YB>>Md|f)WSYLgknEO-a68>; zZuX{PvC{{3xxu|UwL3LIsgC0fQEIi$uY;5yJNBaQrBIFNH_K1+A`4siDs z@%<&fn|UDS8pOOArV=m}-8BX( zJyP2?XO&9~g(%AK&U`qMt!tnx(D-=i%z~I@l#G+a=|+LfUbSVF=P8Yq29kRT=zS?j z^pztrYq*w9^QA9NGEkFzSZR-$Hbd8PcExtC2fmYC3B8(w?J-j4u-ABOOR02GP`U5k zg6-2Wx%)`X3OmL3_qQ=mHx_(Y@b1^+o5x}O z)^#`LHsV>Q977Im8IHW`-;{r#dijx-Oedn|GaX1qgvy|-@ zd_JO_*~bCylzDk^NS(alc%76Bz)-D^yBAEZA{1nQ<|(zl~uSRQ(|e&jUL!5(c!aZ&90A&sp5GMZNIO|1^EDk&x6f!JE_ewrzLYT!^Cu_CDH_`JK&=!bw&orU_7g3d@&Kr}2l!Cz z#rPj%JE!>R)UmHd**)JMXFeUi;3{%xQELvxe7=Xt@x~TQ!Kb%yb##hV5Jd917CgK4 zmM`yoY$0p;V)@UJr0f;DFWS#no(N0lI`*Uq+hwUImkJVlel@`x{F*U(XaL@m?!Joc?X)_{oq?*P*n8A*YWn+LPAzek)p{{f zgyH~Nf)g77wV3 zWy6xP`mTZ1wu97Oi#Or*bK|WPqOqI7q=i>~TIGuel${1~dcH7x2$fO|cFQPfKF;le?mAQX))5 zqq)w{9Mf=#%(s-S_AEPCW`5&xIrY(4N<_;HDmX8d-uECgqgtg_ zF+vQZbAF^n8Dv^?8hYLX8(==@UV8UJo8q*z1V>C5)G{d3Ty_uvcFx!J5NjBQZ9_oY z#&XvF_Wez56&P}!R|G|toZ6PO{iSS=GRt(CVCs%D+y=5Uv_LU^Ku@dTwlpS@^^8&V zI`As}@2DkceeuWe%n4~$Na)-1C7gxt2g49AVOb7C7hW{KcSf{@Q(JXHI9Sj#D4}4` z!r*@;av?`VOB^ezv~LaeJp0o0$6F{^QdZNrJXDI&b>F~orK#FlEd5{{i(@(tNEC;K z2XwqMZ2yti@MDA4P^4&USX}dot@!0>_zyc^?8@uc`arPsd+`Yoki?cWVb}6s=WsD% za-7Edq}^`WwNNd*rxe4HTLk2*tC$IA>}s_nFQ}E9p!rfh$9EzyO(?+GDCLygDnRU( zYgpeeT`m3KtMf6lu|MFY&$L7?uSbS4&sq~jjsLJK`qxL~AB(F@9Kp zVL{AZP87&KI`LJ%a}ThKETIZNU=8%B!jb{D#=<}6nDm@y3RSODKQgX7_!bwlG}Hq; zwJeeC3bV?dPbMV_xzS3X3ZN6_MBt{uNbEEBC;OV*JFV8TVvSoPX^* zRR-bS`pIy?jEJpSWA*4(K)J?wsfR{~kLoA>K?24!H_xGGL^KKbMkOC(B zMst;kup}38|s22V+Whje6^7~Ft_SxBQs6g7D_+Is_$cx9Kow>errDt1JeyCtJb;-%^5C_ zDOhY>B`Fmb=y4hxp7u>3aLQ99^=!;p^Q_=2ITuvS!HP*wl7&XFD;VOr8|U4C=b$s* zj_1MmdC3zxPvHElq*lByDJUU4#`~Oz3)4pS+!ssh%<~9g$xQA4b!%$&9^?*L`sZXEgeK! zkNfx)sI#MvfpXbVqh-0Rf|4rdxekLGDn(J|`l8G4rL5%2oTV*~(N?Ks^xFk#%gkCv zzP@Xb7Fea;m1d*%POMIXm?P;vsO;?d#8%CjJ2$Ic|2&gwdY)6e1ny?<%Qz=~`p+3k z<#Fldq1CJ7h}B9y*4?h{D^ocv%5W12vnvF2I!`z+fnOyFZ)X$K8YFx&R2&h$FV#~e zeGawUi1a5Wf?3Q;4qH+8=E@2(^zKA79ohOwDF?anvIBcpy)AkaWR20zfrca$xQE`H zKIj-8JcMb)`=-b96;E1@=TAt7447A6^UW%wOH-4@X0FzrNVQ6%Ci_0pq9pi=!zcq^ zE~biFU((gQt1rlNzBegPV<^OApwsp*h?$?9(K>w&rr~~0X+g#PNlqrleTbx>>(F7U z;Igv+I(Y`JoRO_H6_%5Es$f4y?;W*vSU2kU#74g3S;M!*R!S3~LigPh0fwP0(T1@o zvoi4A{@tG+5bE$0ah0_tw?O@%Evpccyj#(hdD+cl|=ri#iXvaq9V6saBa9Ow9Mw)nBeXF3Ia|;LGT1yU0LN>e0cq zx8;;BC1hleIdVJd!JU3{V4#*DzP}dWf}tTWdn66d&y3A!p(8c}LwKVU(cqpm#_cFm zjjm3`3zbArftI7^X2G$(mA57kr5tH0mfJ5e1P*r*-tjySDSu>XI20)wFP$1jMLKhy7A2M0_ zZXtUo0O%HD3)fPou#`Gwu2^p(hd86Dy9Iihof!dRK~*4W6vUg z`7nbN_jm^@Ps%!iO|1zr70Y>{wd3_|8*s9=COe3%%ENL1t83UEzxPryRyKp!sPP&k z-4`BiuzC8$te(eS2I)OTIxD6D46-w}3nI%Y$uSzFMe00TSzzCq}r^nBhSjQ(o-+u|3tYC+Nl zsUs~O?c&-PWD#{Zbxx5*V2rBCy1CM)xEq$ zU;j(QNa}}+H!xHy)Nf0MF?D_3NNGDR^e>swBcGQbp2k~O|5am4&m@=c2F>c-WV>p3 zqqA+l)XK+4VX-|vxgL$HfLvFRY*xOIrGcQA{Q-vwF_Jb_h;wE>njjI3YbxP>gCNy} zQ60=2<~}Ant8V!w6Bk$7@5~1ih@x4k22EwFgGf3#U?y2zHqazRR;qw1Lv*TXFp>q6 zV@K1!?H9o>%Z6*lDg?|%L#$T^T~10o(JYEu!cao1ii9TF*by5}{Zj=u*+Tr93-6zA z`O|i5>#w`xFbE|L&9pwp#F!e-niH4Z^!2Q_*!vmFNPrS%Rm_5fz&XopD@)agncJC4 zyBIaYHO74v7(}3xfK#E^rv-b9cJ`B*lE*-8>mZL2UEz`1zw1RrWnxlVMhpj~7k(ET z8ffQ4de;Y^{T6+a6O0NR7Lxx95qSU|{@cTM7TI_5S7!XPrZ6Q7uFR_-x=iU)6jB2X zS#q-rO+Z8F$I!?o&eyBMf$3S*V<%7*qgf_3bV5*{p5pHni>h@^CUXH6Lw+Rfo-d+L zYOL|`X_`$4tNFpjKkGqJv|aAO8;lbt;$%qYEsIc|0vVnLl1S!as(joJ&dsAoy4jcG z>p1;kRV&32hQSiHvN#$dA;lCg;+svryP{ao0qltW)A5Yo>aV@;dYF(W*9gzEuc+8z z3UgbvA5bICJvYzC4x_c+nx@Mswa7LOs5znE#-x|yYc+%>r=i=i%0HZdE(n}$)fzbY z6OBf>%1&3@kiPHnPFU_h$>UA%zU<#-Pi3>vEJuvf$wx|MtA*ZxHqG7hnX$tjF~r3S zg%&0W!N(?sEx`$Md0Zj{eNc|n!l5gUgN7`ZCniD79&paMuR4< zPHNT_-5uddM1Vm_J&yf09B$6qyH@(SY99&3YJApP^D^mzZ_$DCuEC;{h}$EKi&2ng zOG3X#gwE!SNe~5ZHy!!qH>&3;JM&;hf_H4Xh(3*xGa9G<#|D*VxV>b%m8YzTj+%2= z6Q1Mj*Up*NDl*`M<}q2@A*@!4)-*`<41Hq()U-EID_D-JCj~s9lPgWl!vNfCB^E(u zw^)l8Wm5m0enpfSlDfyo$q3s~Bvq?Qs!+^kMf>4=mM;2rtZi!ZN9*$MlWUck?HQCL zgW@28Wv?zvb{hrOFRH1Pk~=)D#eI}>_&j1eX(uf`vut{*U({<@h;1mW>gsXX+p_zb zX{ZTD)7b3p?F?NBAsmj6Xe35b=T8y&x{X9a*P#(4c@RGxt96)~$GuKrl*V{m2zwqA3|$!zF|@Rtc%j;AfjoFA z1P->8=o&<9q+|RFzy0rp=fgdJxfcbi@T~N+lk`iIrX{${5-~f@xd~H?jHJVo;no4$CA<2}nRf{Q>5$>~ zagyqD7yN!8tk{xPEQbEV1bBR&wp4(fJ8H^#Y`Z*994N8$lDsuLp-iPqzh{1D(AxM5 z1Tx)C%>Qni`;GcRWEA;-bLrx?Lro4NSzFA!_6(y$VU@~MR8~Hm&x$;VC_UnzbA->* zn{|hNF$Gsz#D`g4HWpN~9+EaORfiK}Q-;I@%J7XuRG!B`MQu(UkE z?~YC<#L)>0DZ=juFAa=JGlpntDd&wZVB7-TSXK;%RpPie%==N@J;AJQJAYiNEjRU) zm=GJKbYpfp40%olA;_VUgIuc*@`J8!NX$%7+9t+0euas6aWxi9D%w_ocWyevH*)ZJ zW*0^6<;xFZqd5}7O+FT!O7D3lD%MmrZucA~dOEK5{aMpjnkGl1znm+4DeHaZro@_% zkSmSMxsZfJO4nB5f=T}ZoRYpx_@5zdDh_{oSyU+iv+#1aK8PtukwdDYx4>I28T5Ml z`6V43-wkKC#sWTIn@l}rGByU0CKtdv>0ZX?DHGh3m#e%z&*_Z(XloVe|9!yM98+_a zQZPu_`PkTZPej*%D9(H=Mj+y&Go%c5(sEF~sF zM3v^-F-KJ~(2i-~<vVF@@)X+Au3 zbWF{{=Wp{tU9sR)C2!5WED%o+v_VfdAs!?MsR_~h$V1()rn+t47hNCxYDh(rhAt_l zz;J@tqM`DHkun^wOrmsm(mWq;cCLtXC( z-RT)Yz#UTWl(Er@beuLgkSOLgJMA`G~K2jdvZhq{U=?UD+XhQZ+{|ZR(`~> z=qnkb>6aci4?)GRCY`FYYacxc^RE}xOW?WS?-Ba#o*m|!pbipS>G-j3rmCnJwb7Gnv$ zz(&U)wJQ+qQVJU&5j)T6o$1l$OK01Q7q(xo1td`ZtT^}{ZgnwX#e+WW6#S3FLDm)wbU!uogynRHg z;9Wgw4dbB`CZ=)+Ce=t19lXHIlYN8h5K((*(+y&GKN33G$j1QUBT!?oMq&b6!0=1y z9m28Qnf(a%0EX%ab(Nio-d~ilC?Hz2u#{c=*1Mj%N?xCD@4Q_Eg^*ud%Tp|yj2l+=*WOvon2B?M^#4U{JGes5L;>=Z} zi3OrpD7Rj@sJ_~U$egk=1<&7J9HCtsuK=eS3=`n6mRj8NBSxVgCBRz?8$Rz*7N#GL zyq%zkK7o#sugu5YYR4o-pk?7J`#Z=}>JZeF5NKx#!!cXgo;<-ZD-z6MIA`L&PwDt6 z+i#9MIpF4`#Ca;EwRpXhz>Y;dQ>uWk4(epo!nV?o1}R=KV}q~h>#gHh0Tn#SjKI+V zNon@t1o2^E{cNRvl3{*n0=;MQM9Slc>Xh|;cEV+lMeMY7_?%T+?V0{PUNE)F+%%U4KM z2N*pVMp}1!?8D$LwpH*SZ>N{j5ns3NK)XU2{Xl{t9r{HmRA~8}b4ulkO#H~oDmFb;pn5pI1pJxBeLLX45U5iA-jzh!Gip~Nt$Yg8j*Cco{)*=*EDIl@SkjIa%h_$Aj)|{sdAs^XMkCV%oznr^zeK9L8soIp15b-4kejO2XfXM{gjg@vCicR) z4{?xVrV1c{zG}d?fvNh3YJxJZYdSCKUKVEBb>=>D52RaDklZxo{h+J$7FY@=Mk`gd zlCL`*<8DI#-+qN5$HaYF$MDduWzKoYHsBd*`_pdLq%vTCO&=$Os<5;1O zE^{3+X!SUi(?edx6z8ipRi21i(+LQ3DnRIBZd>I$JI=>+ERGlO{A}mzt(|bUdmEae zjgJ1zuSO+LG&=(f&uH{z7rNG4aKnTGDQtma=VMia9i{(zJxKgdsU;a$rh+eFe|(ze z|4AD^W_R?o%UYINoU?_)eY!};hSNB%PQwr!lR0zCx(H`c|0pXgk5ZbzG>QoyaJ4f( zYvIp4b<#(XrY+nnYFT03sIcjK8^&T7?FR2tw4G|);v zUisX0%^s}n^Hg2CN&^|3Jn%~Ae4=@1!Z+E9dp|3qX;F^;`6C4 zz?GotSU%naVhnr=NNY8D+N{>l4aG?~-JP6lxiy)O!MpV*e$DN4Hpo74kK57AUDs^( zfn)FRKfs6aa{*fa{A}j74NAgTcSnys`N*-n;|e)A8fW3KnYCbCApu!zHL+BD5>nU- z@OSl~bxvS4QuHqidW2~&P!RP+<~h+KSzZ|$%|q)AWdJ4pYBw|BW^-QziULU7G?KMj zddru5Bo2OP>l2+PQ-S)Q$k}Y;h(UPH=?)(t>A6(HDbK@ldZ;W|!jWHQ>n#k9+VEJH zP^FN~l~k6f^y1G2TTIx6Ed1Os)Cr?q2-nF^MFeb6m5ZH~(5et}Wd>F$!!}_Hpm4^} zCqx`6ENv z5cLuJvo`8#nEVdFdleI>f=uNHrzSxM%GLVdGdS)5YlMSHo6tPn(mHR=m9aBFhpH!E z`r6Xy{lE;QQoXG5ePt?fGuQJMJP66s9*niIZj8F@HY8`}QZX!fTB3a?kJ;V1&@3x* z^wXSLfX5S~Iv2Qx1#w+^toH<8M*U8-ZTAGV;&$i5P3F#vP^2gpmrTD%%4X_5YzJ|w z2BZtALZArgOh&QUY0iqBvw`+e*)}2crj;qxq6CnmO~jZ=qmz_Wj7p+6>@{2kyJrtw zRbPD&Axfh7%DuYd%#Vl}ff?kWV5UnW5hUi8hKX5~IP!H+45L+%&G`m^HD$=#D>!KA z@UvYE=#an+0A4PRL6Bh`KvV_h5o6H+FS0hwqInrv(w-Sn$%~1t@Ob5{q|!eDP#l?) z*I?~+2%j02?n7k&#dRQ5f%){)L`j1vntUN+!}{0#QJdyC!$J($Q4t|xiBf6W3@1sK z{>&Vg@?p^ul;i)7t=DLGJpKHYrrK$Dvz9>}+4gZCm$0T{x2SW)T2jL(t01~+A6jMW zzKuc}k<|f*J>pAcyS=bs{Wr->o9tm%Y|YAr89NCPxa-WrwDx_ay7IXDC-v_}mG+_P zN=FnmPUUHhfH@}M+Alr^qcyJ30Zg`D)r!OgV?pAJA|dgI5eRFXlmd$lKqlbi5KXX| z#ILFzgcJkBLFf2Y;{a(-i8`5gt|^l)pH;5WgaWXK!|LvD%6c!AfH5?t;ru|hawQQe zN)Xa$Ko8ndd?DyWq0F=B9JM>RY~?JZt~)Qg#dgdxc#nZ}9sogEIf}h|`Km?wdh+j0 zfm1z4K$bBo#F3ncM2eO5K33+h2vZY`_Y7!>E40%O0$c30L{)0%=pd9Gt=Qt0JU`$h zP#vS`uv7GWz)mgTUR{saVOmig3sR@eRkaR!K_Ts z%Hly+BkJKJQp5dy-yE&h4|bO~k9cLRW=9-DOVWzy{uN8-{~>X-D^ti}Ue3bA)CL)P zm@3c$*Ni-reXhr~VL3?a&lWl?jKn)7HI@vyFqo<1DSk8vZhlICge1i`giaL7wK5-$LliN}txfuXV?q01kZq-{=tN>QI zr&ND?OYAm$OxHxv(8#?hH==m{l{H`G>zBE+*DeTyB#OXWzduGkk$Q4RYF<36=bb`c zOKb5lg#w#9$yx6MO z0(L)eGKDM-X1Xtz#7C-QF@?*jY-%lhSBce;d(P9h>SxarWeVZ`uLn@SI{1e3vgLNV zq?6we!Ik>RzavE?&bk3UqJ=oEs_eC3GTQ%nGUt~Cjj6sdb@sYUjTk7Dp(7V$`=2cb zBiAh4_#?BznXn`XfMpcrgvSAaw=y~#qX-^suubX#qSqdba6CU

Ol~rlg_Qu| zjk&i^d~1IEQ-oxaN%L#ijnU=xqhx}qc7o28lZ_VZX#LkabdY$r+t+{nItJ$-WOi z(5j%)8p*>H(FoIm0-Eik#`T7oOLE@t`{sFiKhnLuVOK#mQCQn_a@gSyRc`JU5(!Wm zI_oU?xdOfpoZs%o@L0lL(e&AxT*--~0MN~)1p(b&-4qL76YulNFL&K)2L*wNvAx;M zBxFQLW=tA?j>OGgrCd&(C;w^R&1|qHh)k(QLPh**a)XtNG0x^_24lL-sUG??#VNzF z@&xua&Qt4mDZ4(Z47yAq2bFm=lA=Any<-cQERfwZKp2M%WzqbYsW42xoJK75#?n3F z_v+baem}HsvzS5gz6rwh=qfD=@OF9D=}Ez7qLizwO8~;B`dBbb{s(9c*6EM7eH?Mm z=D;^cTS*yW?WLC zx0+KT&|KW&2-JCJ7P-$+y__G?U#JXjOfFjyI}Aj5Oy>OB9u;6Zw6R){{qnr-q^6sm zHZlDkpiRHMC`a`$`0$B%FlKc$C?k+`DxEF+{vNPpyw0{q&?UR74KFj%_8Nzz4&c|)1v($NQ<)Yo@ttH%-}xCkk%;T{ zj>!dE3inf!4}-H#qu{9ac>v=u9-WHDso|m! zGQ8i_^F;ykg%Qj>b_V-7nPR}K_K>1~L6?s8at2GB@sqaSuRDzE42q9Q-SJ%D4X4I! z==H|ccW)7B_)9`=BO15knDXXSHdT|Bc%wdsPQj!UHX;8h|9q99SPv~secsEqh0uwx zlRnzG-$cL!9R3ixvrS<67fymY4TC-_nEIjwhJ$=}atx(#G91Bb>rP5nTdtZJy%(u~ zUNbp<+;}S1goNP-%?su zrt;tACDL{#e1+AlHP@^+8NskX7-tqP~k)g+r3VL3gOHqPkFryyT|Y3;sl zNy=bc|AO<4rp^BxqxE7EFQZu?LI+5TZawhH;sH=TGMED{?E&1qT3K2TyYh1$H4y_S zC9vu>_JU%-WTzV3+oAx*>4uVQWbtc{htg-i~ywcbP-nKh0Sh zYph0PH?M1Qzz^=2k}KcUp!fl?)06kmbDHB{j#{wv%1C~jmy@T8 zVL9ec!Wi~?z4ZLnxccV3OB>(5+Pus#IS8%7N1O9@+;%j6u>W}Cia-w|xE`m|n=2?` zLe!D6Jo(u|{}XJexJeb=shpgL<7--egRINH^6p>5pikqKIwp}?%J5~c0Eklc?D0!F zJ-?HS(4R*d=Cf;qY`0+AjMHA?4824`5oUk}kYFg3*T?&rxgLIRSC=e8&xpBhuGi;! zYYC=|z;=7Cb@uH{G>YA&Fdyyg;8`f4O6x^;i4F{eRrq*)B=|Hx*Q|7r{qwK#0N|O@ zdp37_jU_=2jP{Ywc)%Uo1vD9Az7Il^v_H`1e4*3*tvjZ)eUWpvGMy{mFX7t-&O_i4l zyBT6`coivzZLo^Vlg+}s=4TXyoa=CUDBM8V#8) z)P4rt>#;~&*MF7Wh=hbU&h0ODtR|5-Kiq}cPz|p?0l2L8hdE$2GSuqM z!J7u=`*Xu(4HK?{w8_QseNrf(Owkctu?FHXE^u)c0XTsnQ zg{E`FmhB_&XHLp6GZDs~8mnGl17QG0z`O))VQRSb_Xw-`y+HJ8l%;R3uYmyTxpJX^ zI?O55J~rUIc{VyiR{eP$Gx$fKd?Y>?O>v29Yg73+>ARx_DC(W99~blgs!P%qb-Ke! zTJ!cg4q~jsG)0W3o~|XeiT3E%vkwZ--WQn=tG$_ zitYQ)@+PduX}Giz_A+HZ@>0`9KV;B+^yn(0d6BUOS6NtT!qBeeRh;minLtUPeR$45 zZ4oQ&#uuIUmeksa5f7b?zTcE0v8;(Bnl!#s3DuCY632~dAhmAtDDsRsmVld2IZ`8suxE@cN zBg?mu5a2h1w21#GMu4Q5b4ONpBQh{;I}PYWPq4m0{YXQP0qh$sEXnD+&?@v`?9%?S zcbT9qNZgJuL=}A~gXYKKQj22KlT2_2)94Ug@~e^B?SlzodW8jFIv2GkhTJD5@^ME$f_ zxGGQM_uDw??GIpI2fh-&&Lwn2Le(y`k9PGwX+XvfwQ?BL9wF}#0D0!#=Nz1|GaV8< zYh~yXh?0QA%dQ&o-nxq_fLcEOLC>B|edqPj*I5HEFvkzwwZ+|QZ~K2@1=I)H_5UMl z^6P6=zxZH)c*T)5nB`iyE?Px+HcJxTZmIMh@SjoV zK@|V+ir0^IttI#2k4>Y4YYIuvsqsbjcbtaxBU2>CCdIQhIsuz+@h~eK{W$G7m65Rn z7;!kHqWTc*Ta<$_Fd3GyK@yt`S?EP)-w!S1U-0TXCwA;Mp1|xrv$+c`3sx&m_bHM4 zd+2~~69{>gk*|1kMi2l&5>}(HE@zPWOA9_oMI-O>y0hX?vI8*RZsa6V9tuzW-q8RO z3)cE$3lcMo$3(EH=h{_4GrK*mjM@J`0U%8MxlZkY&T3myY}L}L`%@nN(}(q<{@;S~ z;XB@|jjx>c2y?z$GJKFWLa4E34n$aq`s%Qtfm{tJv~X4hbJcQL=jnoPE@gJeAN}&< zZ`|pG?=0;DZ$>Q9KEY(BLb;IQ?FJksbVm z2v+%76p#G`ApX`gRYh zx{W_ME$UOj5+P5jyE7&DCoT~T;#6^^`CK0y5A0G>J`*RC>wSC{3)upHLAv;K`kL-q z@qm2qo?3AY)+c?e^$2jDHa23rs3|@Z&nbRIs+tfQ`d^NL^OzPJtN)qx! z)h5$oS%>*Q@(h?*l8AwhVwkG1z&#BlFjxMfb8|p>Rwg#)7z6)GTJeh}dP8k;h|RV? zky+R7ul(imxycy*>z%XcdbqdcQ72|-@_bNz-d{!5h4=LNSRbCzrybNT&H2PTrXl^||W0^3-SO{b&+#0R~3)Ip?u-!`V zo6|5%z3bDtFJ0NQL{!++{&&te_k_0d5FT71^J|t&M_`+@D38wvadKp|_Qz5u`%wI2 zd2KE~p?Bv@f!2M$)$asIW9aId@1v|K)&mUgqIZ#^>Kg#{7ULVz9yxYohz&wG8m<~V&x|piW4yKYj~VF) z8*I;jbmIZoRplj;!;7i>`n&q@6S1ByQ(W`@^qmayifC_nuObgYA}?4;DG&IvYA9=TBG^9jYqqj`(CeX@h~vbLhxvLj1u*VmFZdskfiT17@+&pUVgaAxEsV)o$uYj~t=e8Z z`Rm@r7>`x%qy^>2ia?K;Y+8+W`eJpak7D>1c}ODjr(|cDz?fT9>$dn}o#VK&*Il2{ z#UUxRphi}TOZ)9)7|XT+_=So4oKL}~;!Mg3@BhhA=)ff~02TFvidAv@jFlgRu@+8% z+LMJCucrG%6@>zV+kZgCEJ-{dy6qZk3Nb-Bi8le0qj#B0C%K~$bRgW@X&1j^R|^WP z+yU8=QC8CeJ~u@jbvriWVnC$|=rC*85SjH_W^rgWvEcEXg-P(2qh=RMH2TJ`!PUK5 zouCeb@Oh;rW1e%#);sVd#}}(|LbRSgA0(SZ8nUEwO(P*_R(#jhhaH}yiKAs)pQcPV z_|C9g2A}n3kPp-#p=_x&kYydJdP`k`y&#)4nnL;#L-)TSW{_LK@LY2X0Z@@#+CbjS zhLi{9&X4SLhOesW*O%VYs{m=bb!DL?3bf%sr(c|FW?jOVr+MroX`aGJ_>Z@o;is1W zykm=7p@Wd6BiFVTaI5ILCwC&=r<}V~^2v?yb7+rmLCUuf(Mri|}h(BLrg1tJv ziWiPv>Trmx5-n?RH|C~+&@jx3hk_J#bwZ`X$x8FUzhSNMjQ2}dg<}gW0A`bm89-`} z=`z-1^r$c0no}R9`+L*YfMRB;DGGWXXH&oxT7bJD{{+|@lj!?ZiAW2jp67es3e#={ z@1o8h&*Ua5-rI)9j8?6`qNh(Zau-JWyPEwNkD}^+n}1~HUK~(&Znnh!g^3EzcAI>;KloW zzOGfJGy@^Yi1M}7jaVx;7nyLcz7_S*9L^UR4m$~Qv$2=i`+eJ8SF5JY(Q?hXcd{?% z=ym_ztgH9!KI4uCjS6qm6p}$Y_{o-7EPY$(gzHe9!Aq9YY|gPEiI40nRb&CPUte7A z<1gE!OE<}|klOnAzAPW?XQ;PVO!&R~ESED{VO0zt?J+>7O>f3o{TQ(_$hg+&l||?V zjB;O*9Y2`wSgo$ZAtq#U<1>0!4sv(LAg$_OyfSEGnKyhir2DG$?=Bce_r;0`SJdD0 z_dXu@+W5&k24zG|1r(4NqVQH&AmX!F3x?dJz$~^NK@%U3Sq}{=>HnrWyAeOu^66Do&D1ZKb4($-*&!RCd@aZW~b!r|wEyPWtm7CY%jk z>y^7I{q>~-{-nj4LyY#Pmv_LN=7QwN-7p}30Z_6(YrSFBOUa7i07cSxd!x_wM&Hk$ zLqDI!ea5qkOii&RY|oE`RGdYd2b*dO?5a0++6eN>jrQxn2uh4}>1Z^TC%TmcQu}j& zLxMMTOA7htC#l9F$iI5#<0DR{cpKoWKeW_eRPktp+iPz^FFOT}x9Vw9tL!peE3hYt z$a;ZlAmUCdh{&*rRaM#RzTInucb}JvxYQ}KTpE#g5rwb%8=k~;9qtFHBM;0JxL#w0 zitj=qV&`h8#UZn=O;xidP*Hj3qI$1ByK`i9Y>p^rP^T+^TLx(WP=C++$U_~?&+hYa z3X%9AUaoqGs7>i@@mE&cqW(-@uEw{)XLDR2vsDm_kZI8;9e6Cg5W6hZ$&9Z5+DTJI zcrAXct1n?zKwgVFKYGC;e0FL|KQ#C|z7*)X5)u+7;U4U*M@bdGJ*Y$vm+j#{6~xLj zxLII&_{bPllwnnOnO&lcdnd(u>7PdLwaYWBt#p;nu(dzFVMVr2QA7;_|IrE&hLeK9 zEnp5V%z^K7=P#-74m=>bSE2CNsLyQuHY{CFI+SnW9KbwYlX}Ot;#SX&dImz3eBwuP z*G|NiFE9CWe%ZDvT^;iWjQF%RZVzf{Pn^TkT^jMk=R6ZU|BW6yK}g<@Gg3(*zN?yn zsizE)3{xuV>FQ)9&aUmg-kJ0Rv@CeN3aOaKZ9k7=t6g5%NHpBSzYt(ZKNlUPK3M+K z!;t&N$gF6|E71rzGtD zIhRH>10$pU9oxP=7Ub)O8WJ$ygDoN9?5(QwqO)BGW5{2u!D#l%%fgnkt)^+etH>|d zwcp?Yr!IkO!r4Wq0(6?JauI!9NynqqaAPn2OzLjFnbHKS`9w;eo#t7dBw6*nBVI=F z84<NFzq3K zM3wcX0pNom#Bu}w;$BSQahkz}EFadj3;4$GIw`}cu)>?2n)qjaSnlk}=(h7upRCRI zxg3+fS=_wod{+)|_xwE>UH+D3zQ|(X`D*NS8zTnhM|y-@T-e-*$e4PH^zk|(x{|8f zjI#?mI0e&>p=PM!nd0HA7X zj|?RSLb6iaGtdp8^9K8jRHY|jiT=-=9|0KZA)-q8)2~dcSJ_3(Z|{lt8{bZp9@*|a zNu6dkSYYh~^BDiUKRoNB1nDt^mgv{gxfk3%Elw`>ZztB@cW*z{i(-V83)ouy-8}R- z>--+(p;lIiEs9*Z)u8hA^A*C%T)sbvuxM2oEPKJ22H>KqLiN~-@2mL4k6k>53_5An0?DW@jG)+YYqTv-^@p$4q9?~k;=dE- zS2=m)>92S`def=%e*J0B6rg!TVm#I0epi_XsRJraM9pmUJ14rN`s-hEPjcU^kL+t5 zl*G2+^i_3pfvl z->N!I*Tjc0(g^e?I}+Sy(yfubagr8a;u|(uSj8O>U7CJLENYhs+ z^}3u{hQjCGf!Sh%y{Zb|Cw`@D@BUHuK9JOus9yd5CKRq#(GPIJ@FCT+j}!W2A~(uR z1MUY|I>i{=4kNS^iEIftwE!t`XrZ^M@ZgO^0Ln@By(l}M!fLX<6><%8N>y?_Ju-~d zCIlbO{q;G2fAx4xZ;(F#IDl@rzFSf)1BBQH9W>Rxxly5!dfN(t`pQoF93%-D-B}(~ zzvGqL>nFN6ZEY_C2i-8s{6(#-gshN<@M`{7kkWWOBo}MkxSC2sWc)U6VpH% zNPChRQh#cv!;B?DeBs3L>S)nGtcU021Wh5WYcur8->`4l1d>qC=j9*Y&Vjj8=x9VH zL_jGJ3-d>nmck(kqPs;8{Jfa(4t90NR7Nk;2T8)a{U{S}BqVW!GYV zv%`yyvDr}^*Qb`}+4XgKGpj!|Oz$prSmA_t?xP2;5#cp&>!v$M^qzn0T)KPs@hwm7 ziyI?anFf+fNhlY@CjEsn#nH?%A%bre)o^?dp85$0)MQh6YA@5wQC zmO_O@0V)kv@E8}kYOU07cnAOeW!;O%ovH0mNz=M|gXL`Pu67bqOC3I-Yk>{MEIIBs zV#qqL+Lk6`fOIYrpO#On3B+_iV^KtA9PwW_y!V^^iTKgB5{i-A_= zP$C#%RiXpQ|HxSu5(R`|%bfI2~gP5%7ZY_@^S7^D0k z3^6l>e1#RHRbScd^?ben0$~-F0+Im<84?6*L|XBRzZ|PDPCWJE!DFi@H%1xTsl0_& zkrO|TzxZa_XcR8Af81lqqV=$p!3$iRr#!p^^IH1bYD3@5M-FC>E7Om4{4A0mrv-VH zW&(6dLY6C1bOHawRvp_+5Fi3jzp1h$4W{sx0Bg|TU`%ULSxyw`m|b1-E_zwzVH%0SK?Be? zV4oW8dw;CPN+jiI{h6%d*N&qn`UJlQa`MX^rKk8e$DL2E{v7y0YF~7(FPv~;y*=Kp zm4c;6=zaxr=AKef;TD?Vw&!!bB&*glm2ozEK&RBczD(PVaXcR4SG+tUbM#qn;QRA} z!sq2uN9ugO4Me~O zm=J^uB*c;_zAol)D_T4CGVi)KAceq52m}6%`riXPK=^|lW@W=pE1sGBOk79zwF@rG zuiFqBPLPEKayEz9ba_AKGfH2Q=nigv?-dErZ`z`}9_bHJohWzhJpF4&X;R7dL1DVR zJJ=U(|7OA#_M#p-D51O2GmIso__}~=m|PFfomhm8@2W>7Jk4}^J^JiBg|;J z^BAtS&Tvis=CiwXZ;LG%S3s)2&QJ(Ii-+}juyr-RRgJ}t*!9YE&I!P9{@ZU$Ic98a zRJC0%M7mc0bu}T5RqdRPy*{OjwnLRVxVAruSpBBEd+r+j2r=h^Y5<`$KePYB-t>zI z3j$#8$1N?-m3X(M(h*semcxM|dc{a*g^d9_M< z+G}-FI?CT-JB-mw)qjJq{$6Y+oNa9Le^2K(hI5#bzR2LRB3JSkA$Np{K8O=4@E-Hi zVHpKulE2dwVs{}8sY=ExTCK1dWJP$$ZP!_#Qet$9Zxus!P2$a>dUbtwJ9q6|oee}pUlJf41Y>`1^>Yc~F}YdjmoHA1Kdo{dk+1%2T>iCM zU{I#R$_CW{;0%!DH!gIdSr#nb?858nUCaGoA|^*CLzL9hO5hC`7D+!~0!k}*Y7PKK zkCu0<+k#`ysfRDvH%}YDb0OB%J?iRy1cp5_XMV6ul8%`ue{P}r0J9z+lo&s|8KlCu zZ#I8alFkj>&ER`JsYA1k&NrIR~Mo1AA;Sm!0dMer2c?o8=Bux4BE<5<_!OfpB+CzY;^lxV{=QV2XM*kDrw`<55E$yc6f&;wX z@M>yA^xc*h5ea;uR?mh?m@ag`m%fy2lM;NxJ+8*;ef#kHo}L>aTm0@|!e(epV;?E- zC={M6td%xS4KHHU@%tdNO@jop7<(66DRC<6<=(tMC0bkx!fdcoWOiwCk)8M4RN2&e zbN(hmJM7hmNPh6$KyBNslCIv~z@Ab}he@_08jw5zyO$=K{%-{7>Tz-^ zXDTP3a}VnuV5WI{@28E#GHdd0C>^s|Z3GKY-+2g;CWe$70Ub*6%o2^pw%t)< zq)mw9-1`q<8zKujO(o@8rhhv%IU?Vv(u9(ih|&>LO9(T${kdYfIl6PlZ9N1`L1?xR zo%cGS`BO9I0vXevb(Hm31Wt{+g9n?}i*Q^J@}L)Fni~BYHE&55h(TZ+Ur$6o(ad@}D9~1zc1MArH-B1D5_!+4x&i zPf4iyrpdcEbx2&k_!RnBCLh>8pULDueVmwy_unZTz!U!`wj1ir6LWJY0r-#o1_v)q zEv>#s3NjP%J+on8K;%QvV86ZhWAHIX#r_KmM}fD`VCNsn1 z39!g*j1ho^{%5CX#Qt&`ZB1;$R^#K^qcG`{;nvs9KMZ%dsb1aNvC`^(dWmxo0IMk8 zYF(R_`+McvS$|%#FfVk6*pE zZ~_DfvJiqKSb*RjT!Kpo?k(h|`4p5O}Keb^R;6JlnmWQflxK{9UbaRZhJB zBow^Xaxi#7Z`4HMe^zb)*1!qrl&ZGHR?V(rt(Xq2TXHNYh`6?hW%GC_JWLr;1l)a| z!6>NOx22Sp_B2a6`e*sUE^>cE#UZevo5NzxopmruKEpHI89CpTx(CC{ALR+OMYUIH zJj1)F3~SL?fXCUjjT~Suzwril67*zQ!qha7Ck-o~ffahuw@7+F5EZyAH9-Cho%4+l z)~6s zfYh};#c8A>%A8DqlvASa(6417+iv|2%BNz^?EEE z;4M)RuCfdC+Xtqy@^O2%O_jl42soR79F1{2I4X|4Zw)%C$YzfAZ6=nhk~KvNT@d>K zoYDmm7L&p*cOw%e+YxdOGc)0(58J;!;*`~hqd0HKGJYY^l%r}q$o}GRa&X{_461Aw zs8%Tbe&g|Oj!s`ewWgw5zp_zg`)_(m%>dnFN$RZo*K_O*Myag$=P_-!VFku&AFhl{!EV(Oe%JVr1w2#9dum zP68uTE>125eZ^vCNST=}rSGTlXBu_VM$)#P{Oe4@<~cHL;}lbi_j?_+fJ#n&uAz!^I+>Ti!y_3oPDxLdPYag%HshFzyk77H&JF8U0 zVu(uykI=)Wik|Pr;353Mlal=m`hpxvLk=b4%1(Qk;#3gRo%K$w|A}w!u=<-49k9ja z;;;~X;lF__Z^o{8o+wc<88Z0iW5dc@12Fj?Ju{chYvNh`9vul`pRJUv8@i2ZSFV-( zxHk{Jc3c01)A#B|o&CGdYr!(@C!x1KY?vVZPyL>POfTVEZ++_p)lmgq&83iv43dM5 zoZ>5~HXiMXneow22SUDGx0!vBMFg7c0@yXxS~0>EIyE#&m~4>mjE6JvEz@WO-C`(R zafn#^!my_o>D>hum_%IWhn>2mVsdhF3SD9Zp77nNN*O#OdJXmziuQP$*<7q|t0S@u zl50)uJHH3-*+tFKZE{amyZxR(z+U9LIHi&&p2m7Qzt;ySEe);fe^sEt#Zf+hLXv7Y zr*)4T6|Rj#@jHnKNgsJ9B9oWRw09Kv8;;%z^MzTdzCHPcOT`Tm!!A@-=x&z}5>STe z^0WLkY%FRI(X0>LH*e9BZ7nZrar_r?k4ABahrV!^dRKem;bAoUFM*c=BXOJAb&_4N z&l)`FW|0i{Bt?fLqFa5rGDH^PvFDz3<=fk({g8S6bv{;?xW>3{mBgc(=SFq(DjXlc zyk62jAkTQI94nXI9{SG@pV$7-gK7m&HqEqq*Hn)(CiT?M737f*!3R$EX!_si!~bjP zvLENB&zuR+Nsfy5I(j=<}b2!4x;*4{dnw_@(inzX$t|3kF22u zkXhP6qO5B&C<8^O{@k!0{cA(xl&Z1H|D%FXBFk?J~_z`#%sUq3uFk$ z@QTV^tKtbm4=@TM(``sxckWZ|6q`zve5(suEF(3t$WI_r4}KxENGg85QSgIn z@GeIu4@6#B`AK{2UNY|A%CLic=!b2{fey{yWIAMXs7My<+6KqralShRi^Z+kOxTDZ zdjM0N8yDyInCm}ajSc5>Qn?&2YgXlscGNjs&3LXPjWAyUa}7P; z+?z6lest*UxKtP6vb zamEH3??fRXY%(Eea5#EC|9TOwah|Tv^&lX89(3mkd~3yM`TK|2hLgjbe?C}Ci*Z#7 zBd%H5m9(tptRaZm0d|3H0bUU=em>!Q9p+g228wK) z&R%eaz+?CAhHCVYB>Nt^V2kn>ak7ZE2At3H^%Qd!j&PJ^$9?CwGrtwoxSS2PYc|TJ z+<&}8m(1?sB3Gx_{&C+ixwpL{hZe-Yb35iUg~IeLjDy*+)1>&~oRW*;qW-l27bO?X zKIG>=1U)v*C9{0=fZ$+k1Rh&T!_A_%y@$yvTSD_~HpAhgXR0s1^cJQNW$^d5Oi7&m zt=h@1xiPhh7l|h-mce|+QZRWuPt>^ZJ{w}-&oX_07P58!CN$q^U9uf5n0MD*&Gn*I zIf=&Y@?K{?2&*ra&lTpD7UZ`JXD{NB3nQY!lslJifdMVQUz+w85GUq%jQW18F(Mm6zazj&0SFS*j+ws zYjSd;h3vRrLNJliE=nnR5dv-&@q!P!{UeCcXy~FClK^&#HU}0bq zrFbK~%Em^`&N3&@oZnFT>nfqH9TyWF8p8Ljxy0y}q7$*P%4uX}Rl1B?*-zPzuRyYR z+=7n1W|ttH=Nx)LP&l(K&*c;5f3ipa;-2hZC+O+xxGt;j9v9c7wYA&NYIsib)-4!F8k6&0hAa7$M{?k=c!;i0^jGIf_ zBnYKz@H@0_AT9CVJad{aS^A1RDfbeGj4(JeIlgR$+%arhK)+D+xq5Ev*@!HRFm4r; z))S>sz6q`!Dc-vs?!`x`QbkB^hx^R`XfFO?W|*yvRP^Iw-W_SZqhV}>D_+G-6!qJC zG<*#n$CU{sl@JO-o4p{VPu~z>^fhgH26nM?UCK5)sy{0?J7mx<9J;G~XA|u0G_#tT z=t_1Wl)nDSN=|q1TtNsV)Q|BqwR8x!Ovv&vvz8rnLxNGOIG95V6ZKH635WQ*#W}MR z>30ivp=d7aKVEi|d)7MgnPQcwlOF`=+X)aES*pA$lf=nBVdMS^&d#i#(6rm|l8(V0 z{`|buq(BZZk!v)^PtbpKWPz`~)Byt=C@|gd``YB_mK4uKo%$}$0!7ro-^_uyg%ot} zpUN^*FqZQfmGdc^RArSE2JpWrh#TH0ZLNV@lAwMp))c!r%>9f*lC?x@ zn@yR-bSzV9wrut#zQKZp+w?$jr+Be=nIzhhd#_ALzkyAJjB^o=pgera`y7SY*1dMZ zLql35MmC%>$FX^kE=07=-;x17>CYcP)ywR_V3o-i{^ga`;o`Im!hz?Wos`kURYtE!ul$x2JyV2XL`D#1c4&CPO$%3aNIJ?&)JZg6I0So}8xEDVAy;>e6@N zYU*L$7;0o$9>x46vsW`F%L0jh0!VTn3DjjnPIN!@?+0*bQIxqbWr@AKJxEHsbUa}q zZ%|z>iW{S&M~Xvni}B4926BHTRjkoob8@6e7=&*{jc zH)%b)(eFdcg*d*tpx)#hcPM8M$7{j*=r11f;YduSJzq_IYA<-b8O5#RS2MYlWBLQ> z*sxt)&Vh=a7PkF2ZR0Am#3m`+wo@HglT;3>Z)$3zjdV?QAzUerty@-jO%L7=?D=eYa|&c*8azn7`xD0+x(ybCN4o4%g?mo#1QJQTDN?&AsfO;VLM! z;@iUo(YiJY8WD;q)?eV$6o@Fr^{vAnsNXTGtIurjmaQ{u?MYGR>To7vT`3nMc20a= zY*8-uen>Z>Q{L|+?`mapxLIwbD7zAGA03vboNK+}(aZg;!<12wrUJ3f4t7lS{_byh zO_{HbzWU4>_EuOJ+8|b|QRav$k{=WECQneEd9X?Oo>ruPP47i!!vtMGOsUQ2BF7mZ@Nu?{@M0rTtAeagaTOl*(saw6By-#;xP}5S;+RRGvD*_LrrV z-n5G7XhVzy#EEGEv42d4>AJ%D>XIEhM;xPw6aw&ayBKv!#f`Pwr{yc}&%HVJ13i7p z)^1QPNG?PgXPqs&-%q&~!D$&QR`w~Olhh!lEfyrH`HEBaUtvlRo~WBO=WWlIa zRT)3|lurqwKffb1l-+A!jWB=mIhPRmpOyAl>k>+V%+hQ{J-N}$MTAKcPxNA>c+pP= zh2Rxzko8H28op>AzqwdW@YS@CUD>M&U8Fr+?ackc@Wzo#(OV^|-nZ5}qGu@@etEqb zg>peQ$1!*1Df%GZcvTvQx&J1^Kl9`WLyXTmp6Ac2Ulp^*-lnRKmp& zLEYx69i_{;XEi2Rv>8<)o}??f*<{N^b7k5T;XL(c{M65;{K11~gMEyVK$(foHHvFu z{%R)lKRt(`k?fV-FPZDH)Q8u;qWGL!nO~J19`={2a}wQHvtYO@C2X*%w9OE`K)9U% zcZjzuOx=apYf(0#52xP3ErL}UNX4p`w?v`pPdWLpSs7J>wU6F(|MEJwb}*IXaMsMD z(nN0T++X`u?FMMh){#!MuWBrF7KQd)@nnf{E=eqZ8>XJQ(#ldXu{FfI|6REM!My97 z>s^+UL;2{|*rqvp=RHOzh#2X`N1vyt8G6lE*_L_ad)TVU;It&lQLqcmi$_1@3^6%Y z;`2Iv>Z}kTTg)w<#}#8AU%*)UyZxue$N8&k`~NU;^LiM~i{q|vlcgdWr0O=H`_5eHyGd+yG^Occ((>~YGNy7FyDlXQk)+|EZ;bPyb3YPYoV#u1BM}S!9xQbAL;P+Cd-m4Z`X$9LPUytMyHzSH%>fs z;zp^m)*TADK5m09{Ybg5+V`lr3*094O&IH%%HuP{!52 zIdV3}-#TeGd^D8GFRW(43nP);P}14?^}@#uif6>HmYQzu4ed(>e&9w(%nop0&cJdy z>RF|%0;&EmGULN7#Wa9nBcafNC&x_+SOlRI^wOHSTCF)1%4Dl9y~T2GOTp~ko;v`a zoEv;sb#@PR!pB*))nr8qvF%bjp_YPapC&04x}4LXo35#1;&=ay~1qk15De*Y3qV`$11l{Pe5C(t#oLO5tRr)1kR!RTFO5cjgF0ab1 z6^>1Oe7^2wnd>kq8_J%G<(#fJrW!pqZOBF3+mz`43DvZ0up3dGYOvP^no-;L#W^`( z9v+~YAyOtQnr9F(omD?MZT;JE=Y!ATIFlB$?LhRuuIB{w55L4xDdKC=>nE%tC~$F9 zmP!(7U6#j64TXQ@KAFN|zVnU;litb3^brGnp(J3y|ad<8Fu43w!Cr_b9y$P(8H>>OG%V(2@ z7h3Gy;bnJYTzwDMwCHTw${&b^80l!cNn_tkRkW8E)_=_vp;zEa>chsVl8@T*nx6Zc zz@uO9ist0xbP2++Vq#c*z(qt5>&dFz~0W47*sjCV`3h@fYtrX#>-_$ z_raYkHS7kv_<_BN>{+@s_ETlXPnK6!$QHhbfe{sotBQ_m)*6Zk3(GTZG(dqeKDnZ zOM?axVaPAZ(&_bi=irV@BiV8auW4$uSYCaXuXTirR$OH*ad1)eAJuxwD@eHrlz6+z z2i7;CQ7fyej?k7SMk&PEJE=0_Tg_G%&lz8KT5)nGV?~n+-jSA0EeUFEq~HTiSgdJRfv^xsCbB=WN~udc08)6sQm_pu2IQl$Hyf1fi(9s?rsTn0BsA(`HT(XXe!KZI7s zUYLV}!#Q-VCW454c|-Vt_XQ12#^}~ig{9K&e1qnGnNLDY%+k>TtqiWSv-2vnpPf4y zv$W}&84wVdRBFZIK9?Jy^=sOXuX*J(>I8r~rYG5kxRC}KPP z8=04vcXKos%a)tW;Nu#B!0C|Kqgpxj`ZEW=`UR3JCh>c)@wsk7AX>l8&?F;?1MhAw zXn1+G*Eer#Kz!Ni#s&=?oy5K};tO70l4Nc>XSSE|vLsnYi&126W4?b6Zw-37QZXnb z=IY9+m@X7mR`#k+>|}a>zQMR=Hnleti>eDmIED>pN%a!PKP>p1DEOQXOFg#rH7>5) za*$F!=@mjoMn)2!TfrQBSg@sIOQ?5XK+@g4dd?VWY$M%&zq--$$V6O9>an~dF^}U< zd6g^6%R{(*Z-qs_sDS~c`~KYYDqil$h-xGSKOqJYTSwpbH)~La=jzNF6;|d2M?lKk z%w8KGEq4yMp`oE2BjZC&L zv(l*wOITm*@SiqaH+;v=&Q3@`SQzSe8nkB(^U-U)iCJLCx3;#NLsx22Qpg_*#uD?n z=FMdw_4ULt;E<6;xbMxt^K;YMzQ3_th4!%TOcaah=#WanD5C)1oNkX}0BXPS7X{=O z6?FhH;c!~+pcjVQKHT3OttA>RcZB0X0uGvPptIF>?PbR8X3>%R1l2q$A|L^s@3rgc z!6Masy;~eVc{4emD=MHQFE1~k)u`nMm(5U>jb>f@aqnY&dxu4#-Gx88U=DK(oBb|N z(jOufQ~BWA3GQ&I+KQt3k(y%QXZq-y3a>WNTI1k^p9NT53U%Pv*u1UlI%ZHU5{`!VxY0ePhz9 zv8SlEpZ@}A{6`VJ$VnPi;o=Eec&ydwvFJ;LLC6xr`+55hTd_LINomWoH1wlT~P^ z<@fL3Dd_|iQ+NU|FFn7%Ku`J6O2d_!pIo2()3sp6X!W zcV%v7Y1wY}I^)+bBw&8J*ZY$NC9%2bsHv$b?*>l21c7!-cJ;4Zyg#oY7V_cgvv`A! zfx+RjF0aLsK!0cVFxh<11=#Qvu)?4tC?G0M)Xz@{*t#{K`JkasfR^mKJX*<6<%0Es zjhl83n+cYrehXR#22&s^o;Q0nKyt+E#In34hJ4QeD8PVF3IoR-9f@WQhvnrla+v+aE_YgytZPTFEh=K+aNAa|Yd`FbQxamDsr*1QW?dB) z74=v|ww95RF$QS&V#8(w*PRIkt16x0Y&oLX^mKL)X}=plJsl(rGzX@&1wf$38yRya zO8_pGmY2sbZ9M)`rc>-3DtQq`8;pJY%l6T@C}8aH02`0b7*s#C-{cbmZzS6?8U_xzSI5a>89_JMz0`&4sjRRJc zWY9n=|H`P6u-ojx?bQh}hY8X%lqZprG+mJ-L4}&7eCdPz{St#|f=5T)RPDCh?MAPb zG@GvpcHQ~!4?~3?=@}j#PU5mjnB7@lUvIPJ7AqWo!Ocy`-gqb~vS0|@>lY`q?c(Y% zFonjTCM)3KPN2#k)oF-gF5cDEl_)ATA*&88x9!w(V4+yucc-W+J(mz-Q&U-kvD+*v z!Zixt^IB##`&|8IWM+15DjBxIudAzj)V?M?U+F}@(mry@#sSLn%&e@=Oo@mNpdCA> zD=a&K1`W|ECOp{~Bmw|{=w!VgPc~cC=WJXPv`G#P1mZ@$A7&l^g_{j*bq{ z(sX}qgCGK6Wc!NS&Beh%b%|2CkO`QA0dt56V0QaiGc&WWjWq88yZO!GtWIESg0V$G z$zm0NS|0)D#tAYqGGf3~l}#dcCZE&DmTQ|yIZw^UOL(Y+sOYD%*}VZbP}P_aAR`=6 zR1Sv)f#G~L1{KiR9Vg(xu{UZ+jr|ooY03hn)D}PzJ0^5Sp&+F$KhlgAYT_3vwVLH4$9MQ zaGyd%Q8)M|yWQ;6CJ##3DdT#Af$W>!-(I0Yp=Rr$RaIPIf7Yw*0VI)@l|@vZ zuXhC_uUG5XdUYF1Bc-gTw>#IR+1lFbxm(_SxZr(Y3>XgF^eL2rZ*|fJ7iXR|ehvX! z<&I6SHsH~KCpO>Go$t+tUM%`kfu9CV+kTeJYP~sVh5=Yb`3TKGfpYH}-<6dWY8l-7 zBbdJta2r4`KDQbj@+J@&`rw#$MZUAPX8!z)UOOe<*p zXn_Bq#iGJ^$=~GY;4i(kG2_W+76RV$&Ka(sngj9v#qzgQkeb1%RHO9<4GX1VVO$-CbQe8Qh5y{fNUu$7kd` z*kYkj2@{hSz{`eD9$;c%w6}#|!~*CFxXkBjEm5o4@6kftdFcaXLWky5`25+UDjtsj jgo5LL^DO?qFR%TxT-Fo3#6CkI;E<6}6fY4q`t&~lmDEUG From 4ba7553fb06d041bfc8480dc940acc827e8f86b7 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 13:59:35 +0300 Subject: [PATCH 77/98] Update jointplot.png --- jointplot.png | Bin 47329 -> 47349 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/jointplot.png b/jointplot.png index de4faef3c2b6fa3500c49a47067619e0723c1eee..580fc7611e6372cd64b1d729ed56bda9dd91fc85 100644 GIT binary patch literal 47349 zcmd?RbyQVf+b+CGNogrbL68P%X+i1k?ruRqQc}7kq@dDuYpgB z)^*W!==xS@fKv`H5L*m|N=;mI7Zv&?a6keMjS3tqdWb|1y;aDMp9#H@yQSy{y&qHb z^1nObN$DA)_2_qT+nNFqX-X-05>oFE;<#)W)@i!Mi0`Q$pN*|*KCoV{u(d)hJHww8 zKvR^|!$S;Syj!N3vqya~Y#C&28h*{h^swx7(!dC#TJvi&4C5stA(ra zQ?pcYVbpn{0mRP*kIw@LVY2 zd#iAi(LTj%cJ729o{J6-F>>-o1Ew6u{UH$>F6y)jEWX_TH2(!dTlavtrzDvxcySHm>+*ageIl? zy9wHqD_Ulkc)+5&u=MmMW34@&gw?lLkv z_q_xqfx~au@@WzL6k{_xJ)cs)X)f;cT$u~MyM8jli2(N*eQIY;la2SQhBnNxyz*nC zYxT!rrC}N=5tVof6%|y=Un|1Lxs4OwOlE%K>h3-(@xaey>X1gJPqC+rox~2!XBUWV zFAf-Uzx@7e;5&hZtj=@@=y&I*)X8N-1H_74cr~7-LmM~txslho$=g9vroJ(Mi2 zotN~a^p=h9EseRCl9T0)ycmKi{@`~%krI#hntdTB%G0O~FPW>BoR8W~)NGH6r}8W< zEI%vh@+l)426Lpotu4CYYXzbWJG-ITMjXU-MEa!9P2@#Iot$!yNuyQ{7cp15I`P=h zZqV3}-A!=@Bh}dmP8yaHkx=|$vFsnHJKNncFfeppkhT+1vLQcZLt)ZE8?5w2L{>87 z_2EF1m{@j_;WaUN0&C|ivE%FHEWNi_{zl49nnP395$y&&oI zM5=Z@Sm!kdn#z8aSM(xU@OlOdtg1|fVq=m14b9|eyMbVRNf=gyO4&|4JD3&yHpyqp)m7D^^+A@KN6 z##ALkQv@&A%C7%90T%TC^AieV6nwA7rfcm;?`{|Gy}N`qVxPP|xE%H+ckt-falE_S zSe<(_+*LEBAI|EvjLz$E^gC=Y0A%1F#dX(Fs`-3zkK1n6Se+KV&r3HqZldomu)MZ) z7X9L$C)t&;mEe@rZ%0? zVUH<2x8>Buo2RhM!a~%2?|n}vaQl~IoB~&yIraOk*VxfLhq2LKh*$y#uv*)h%Isq( z%k!PSTg-yxMci$--Ju&?{?N!Q+6wa?T3FEcx}IG`hPk|byOQC#*Aa|Kns&bbs|NkW z+nsg`p=09QF)OcC(#7_4w}l4d|G1RbV%Fo29GlzQox635QBaQ+)d;fb%ceJ4kB44l zS&_Uw7F@E$au40iB4UV%DYzI^%yMAyef?fU%@v>zO|2O+{PJ|Zx~ z?a5O2Vb6tt7kl+NE1x~Btd(1OVhLVO_;3B2kt}7lP*YoWZa7Hty-d1TdLaA(;laa?E|?NZj`z3ct4VD)wEEts zYT`LchykK$Z+}_UUu_jTjmhy4cp0AW%&gw{>HFTEhWkX3IyB?(EV!FU9aDp$^Pc?S z9RmN+%(-d4{!f1D!QFWqMS6NVt?y0N%aDT(EFbKbFJF4xlZT2QfFM|I*vRNSZ@c%N z^Vmq|-7cwG_by@P3FE>*z{A6nq`|ecu?bk*XZ3*Qw`feeVPDa&Qug!hjs+EpjLaIJ z&ke7A!`h?ot4_U@5p`|1yY)9m{WuRpaKP2U0Is}$K;C|Ez-Hfasy^qo=Bf@k`Tif;gbc-jCzR#tZ z!0pM{#dv`b(&ym^W1NS1tlp??7hS9jHwh3|1iV{ZbN#S1vjq3rkv6Gc?I)Z(6EZ91(APj zy$b~jgU9W*!G7~?0L2X~--?CztgLD8+f>_~tJezN=ib?#*&3Uqs=2e?C((w^&dwb+ z0vAgGuo7hchHHNi{LTEEVZrGpH&)ovR&n_&8yg$GHfXEj%ADML z;hGQ-C!Ke&N^wv0H^u($#i5Cp3KXN-nXW+aJ)-mVw<&LVD-oTmA3+~>QRjQjGw0mT ztcZ^URu7NQ{q^GNdaA=KH#eTAbaaQ`@f4OUgs+KZ#}G|0KHuMLEWd3!E_<_GTDMYI zknye6`}(WfzW&Xh&v(zD)nU8XN>-tX0gWWN&xH|8g!geb$eEueE}T)R0!u1E$JyRg zaAlDEoSF&&D~60tK26hcU?}~C6UgFO;9vF|kG+PC147?JLKw8B$b8S;eCw8`7jO66 zE;e5ahlPfQBK2H&3Ehkd-{LJ?P1Zf~^5swOUcA3uTpfK)p?5$cC@6R_S=Sl_BHP)A z01UXbgy4ePmN63TC)t(qyRC9IUS1Sf{bqLf!H`=k9vK-Kl(^4Z&jlX~zQeyh-|q<# zI-$A&=@MpQn_ywr020OF#cK5G-SvJ?yn;|@&g*Dnb8}>tB=q_DdH4Bk{gC_9wmU+8 ze*Q?f>43-gm}k1m0t>c8x_E)SaI?-+{zDgxBDS)w9!;MR z$O1#NpRdLX)=Q)6by=Wn<8pUbY;bGcwGPUrz?h#C5`M->d_iJVB|3FwOUZJn+V@E_MzC(`m8X8DNcR7-74jZix})U9W6-%*ZJl0V=-4adC!#+dbF90jAKnfOhMxQ z3z=K}NeREBGPf4=wyTNqufF#_&~gBXfX2S{(%i+x#n90a`+V*V*4;&qFg$GGa>#83 z)4{!yVK}*jM%2(SLKItbLWnqSWz(sI0;(cimAVi#xn`hYH59BV$A?2_gvkR-!v4u0Dz}I(WEa+{t)29c;B7Szw`8r zm3@ld>I>#5THpv}NZ?o&U<9+7&kAu{)ZP|y*b-Fx_qp7otD3@_6}l-Py%vTOd@RU# zhvs`-=Ns-hUN5B_>6-BWn5J+z0T&cwQ79dY|!EG z=A=N_wboVWC^i}&LmsvSVzHaKZqEPys{H<2Z!ZdnIRob6lmhK@xxQ~M^O-%R4@ds? zlW9=MweYmU#}BRpW>qJ?lVlgi)&`Ua_rj-{1P-x~DH z(bca05)J(0UVcBv$A32qvax;LoUW)~-`EY(UI7~|mFek(mtW6y?9*hi%Rt6XrkWTpnJB?uNg6DGq2KQG}NIkbV8^S#bK1X=4_VvNk!(UUa zZ@bnd|Hk>a7l8sLc6-}Rf7=qs$doR6J=cr(KDuu6uI~Lh3;qBHL_|lg#=a)+*qd)M zN_i?kjs=CZSe*5p3|%00Tqm0xMno63LJ`V^DX6N%G)-DwZb=QEi&oqoCAEDo5ITMK zef1Ejr@Fd&3Cc4`EiEej%pp_R+Lpy~f5%>RrDA6{-0-~BC*oDyh$~)p?+E$Xa-&RR zMGKwo(dm~7@5_=)^>Z+ST>8f;Q%eh;`&|w`$E0bzPVk}P@E|!9q`xI8t6xEz^Ew_p zxGpZfdEEvesolD~-1DW9p$r3@-5YeZFqQ9gdS z3iVv*q64e!Ocjhu39OT|!qY(bXIOBz->lVx{WyuF|} zT%T!Vz_jd=5QQ6Y#sw}u8Gcb5%#Pgl`kN(9==+Lad)@@0`LRkT6B*rM*-+IZIT%K# zw%ORQB-Iv2BQhoTJ$?&qxTF~{0N-WpGPD`o2cLb#BAqQNW(dK54UtnZDYR_C+bn;AduWaM z%S4o1iSkh;CfLa|mYhQC_u}?a?z9!nZjJszqs zj9nv&vZh?pSH%GFvW8&1MS%N#A-L*>$gE8YA zot&dQBwdU>3Rw=E(hagU7zxC9Vu`Yb7*l#bBcX-xryjoTwLc9ipmIX1k)vh4yC%7) z2;(brFzC?%5)efzaaYi2?%g1_OU*^BlB@VC8b?u7*&|{57IV^hS;@XHF6l7nyk`O6 zJlk#iZ23ylnf1i7*$E>Stw1K!O#?;M?;vuNX&(PnqpHzpady?dKCnz_{ z3p<=f*1Cg5r-}*g$^AFTpKvOyag1~ z^mR{OM=iY;zQQ@%nF$yjRU!(0KQtuYe0N&j&W?t+!TV|_b5ON_ zz2M6wY;7d#<kPcYWltx9e^+&Bx(F#lY1b#EqKty_0hDR=?*BxcyEOY8pn4jw6@X!hi)@%}=#Y;n{0{k8lAf zp*LTO!fI=|Z@|_ZIJ>L=a|37~5f!wy_R$Rh{#Bz;S51{FwOP3!&XF3vqyi&2_=>Y{1>w7wpIvX!V!!* z&3Q!LpP#?QSn}bOO0si!v0!8z^QouSF`P6dw&Q}&Sn5Lc<}_njJv=CTSz$I3W`%HQ zFiUOMJLTA*KaHZ%I%JsupN*Jkk?85@ES9G%4p>`RIW5>bIDl#XTg(>Z=QD8A{hdPv zFo(0Xc5fDjO6Q)5E8%bKDq8ODtb*E}swRIO;UnOahCQx>2=z5xO6H#*ezgT`4USoFoeQ~ z2!{PIIv4?ltN%*3(Vi0bQ=9b5qWJ&B z>lOLZCtH~RG4P3rOV$ch!(d)t^<;0_qT*BNnk8Pfl!O!Dw_8u20eS(!^K7RBf`-i( zE8)p$Y2s`|;-GvjYrA_l=e`>0Qp66rp^N~MMupzHKY8^hKV>vLNuZ(73Qkdo19d%6 zbF%(}(k|XLr)Lsh0knGcL~64URms#6 z>)LUic7A#RPk;9hj5Qs3C%-ox1yk3Y8aR3HMo?w5EbDn>tmG9)J|Q*-hN zFyYEEqGiOiN7L3Viz}R|*n%_8u%|Sw!xegeLai*6ev_Jm3Lijenwk>|pTCL*!KT{1 z{G#SRDmq?bi6PElEY%7VQ*)G{Kck^5s})VGTaG{a9CMTj!azB}x`t1ix%>uOSq>T- z)jVyxDD`4S;XqYVXd=`K4c~C)T&3nrZ2iEZnh5^ewjVZ8`J2gMW-&@dO?=v=W#Geh zUjY78p4eHp?2Jbh!G?SJ+M=p$OI_af?8mTRG+DQc?)$|jqH&0pDeuL#i+?3hh!tT% z=&Xp2Em)3>ij(V-ohw1p@%nr1FU+4i2^39O(j29t_{0F-jz0*(mWPIVOS*Xz$!l3W~R1E|OU)5&PH-8{u@TtZa2Y=2LCQqI--&m0yv{XM!B07jj0oH8=z zN(A7&+&#qrPBCi=yF;+T{%>UG|HKXtPesAP;A&@+v(|rYjrKRLH{M-SLof^kJOG;X z9H4#xg@C>Fy+Y9==th!c+y9hGCYIC>>zJtV9XpuAiBcq?>M5s=wept=O)ll%RU}WG z9}0?~SanWLPCBb?n6#Krfaw#B(PuMXzk4(bDpPgB=(V#9 zz{#7Z9v`R3+JIyO5ch3!T#rZBK3OFH7~7SN@k8mPMTq6n~(a4OPF9lzXQ0@Q3i-s_@E; z#pfWa6vqbLzuH6)t5??2G{m1fHkHx^LCp6_4nS0YQvl`fg7Cd!%Me*7gZ{Ai@=0b(7Qm{2=00dUi=X|EAI&UBYU z5QtQ3$)KYWJhfLMYjuIDZIy`h!-D6JiA>x(Nf-R~_U!kfxBvXy5j7F9UO|R9FCw%~A zlEj2j@>6`Z9v9uLBOS3KAkgAphic<@(fXD!jWNnA-)?rR3-27wf~f)!%2HSK)x_w; zN`W*JbncIc)YMdVPR>9;ekR^jJb3unu}oBwIkOe_G~kB=YN5Uvsv=ACff&Zahbw(_ zpT%i#MR^C#5pRFWuo^A4dK*S8-y9FK_Nbz0;eeJ?yal6^+xXEee52ICn-NxwI!h;f zDMcTqd}8vDLg+7_HuPv1@ZX8fvOzHfV4hH@7_CZOH5mHQe&i+ThfTGf)wrL{SRC$D z4X;3;4)D5nXdwK}7kJgw4v+d-SC>O5x}m{0=$-)Cr>iB&)AtU5fWJLojIOP%b(S@e*lc_+NmBth zgS7v2281H@2S}Y3*Yv~=*=TDr3nVf#PpF0RykmGDpQGebgRJh!K&!KLUTIspM@mBC z2&B&CqT(`ttCS&%7n)K9V{90mmu@hqY=LCZ2~|gsF1w~TxG?3uFDFU_!n4$yjq;Tj z*0CzzPzRPcnV|!s2On)2(i)(4r8=|{1F9PqL--LQrheI!cR|I{3gDI`JUu=63fL4l zNxHTT?%&zY)?!lJU-U3uH2_F9WJ8@$Iq75k<86vlS=F!*sl{h+ZkWiFD-g)QPfkwG z_BCg<6&04veK18R=J@nIMEJ%CV$@+vr|;0CNQsF2 ztWw<95;P8gd{GCH>W4tCa+0z;B0O#w_I?;2ACD5!`9YkXDiXVrW9K*}_$h7-t&zT( z2_P4WyA(FKaFoSo)D?x!Dx#M`zHr4grlX@nkDC2zgwWX3lLnfZqQA@2Nn@vhFvBYvF9RWzahB3ap1=OaHhT=ivRLet1u({hAzQbrNTkR3P zV;=(LsoC&a)#qEL{QUf{R%1`0T-Wve`}fLnDU?Em1l#;qpzD>toKK(u#!?TezH&4mDtw#udHJmy0vQ(%)(#e zOIW5Lt1-8f8H{n-Q2#v2cLoY1B}rs&B-1GW45L$=Go|EWgKCW`3|@?iHG34_rG;NXp0+FD z)QQst1q0xJ-J=_F*)Z!Cir}ciXZ#J#bJojll_Uu7Ejfb<3ljuc@*jh;he^io=&Y`d zO!#IQ3r_P^5vr`AtfGBla<(@get+9`&m%h)NQnY%e$sc%AmS+QmMMS*VsvaQ02K8( zGN10^RJU=KO^q7uM^@FTJ2{KX(7+g&SX5Ei&6rz9uH2YgAAX#WEv=eS5PnV|-WH!X z>iR~`yX^;VCZz8v;CqF9r2wo%AuSli)kw&}GM2Bq6h-kiGBu9&St&srO=e+V zbYbE5ly|2UkKdx&Gvs_@mVqG{!V{~7Ofi>AS5-(0M74P12sGDW0RV5Af+}UaX?wPM zr6zcLS@Y2JR$`+WZ5JDt#b*X>EZ z(jCI9vAMYj1@A4Di?;jodzL2u5Nu^3a9e>qkx^OME{+f4&q4W+X^Fh@tfoxbv6N6{ z0PS0QSZh7CX-!ED$7*G1=5G!;Jl2*I+zjtCt%#_omGMHA5l+l3MHEtQ+jhuBpx5-a zW39-ma(H9}8xogc?K+EB>X5Rmb;f0dlvg|ct+>YeCm>YY7J)-=j6^mWo2ZIV(J=Wb z5s?=;s;}E|!={x%gT|XRpU1mu+11${`>`8#hl(;+KMI2u`>b_E|B$A9OFYFa7EJid zfyCyacN4MHFZmM`egP&H4W=y3j!-Kxd~*%_%597hOuWA8U`;Wt2@jT@xmR{)Q=9)Y zh6_DXlswhcL8o7vT>&3gpndptl|ZIY-IXl0ZN7sjpq&U1!c1!KOuDTBH{J=@@3z-0 z7hG3@xS$XQnvFUD#shWTEAc-{0NhTruPL^G*C&=W1UH6XFDKueNl5V1D7(;Qpv_Rt z+I~vousmfMM??8(5?f)?9{ZJKDdRJd%kZ`fbl4f_rVBk@k$P+}{r(hESizUisQqs%X6hZZWk=(EBQp`p0 ziQ!v+VSbY&(>9Tzr$wR%sxoWxa_dOjapiTEs+fibA%Ho$u{L<$!Z*yDKQ@1mE~y35 zlkrO%*e#vO2nIrmJ- zQ_+WF6B#D^W&Z(L&y0(`c)VGr0ypxP`U{jNrxv9N#7X#>H(MHQ41X3;wYEX=burZW z07s_CL-b}Dj^If=>dooti?md=XC62SWnwc6c-^H_wr}je7Maf*Hfh86H+HD2oDR&D zvwxbbG+4b^s!*N44#ZL3mPS+LfAIqS?i$cug$+1VZ;0|kuQT|AKiTq?(V)n)gqRa0 zOVQWw7n)q0lui!TgOO3z&`C7@hYP5$qj#@;u5P@LM}KPbTS-oosF2mhE+?BwO~Byl zXVL+{7Z3mX&vt93vU75B9w*V}=ATA(vkBllfb|*=6`@q!m2Dvh)2(chMjE|&{Ux{g zLjWB$qjC^6TQ>pyfxU&Q$tlMERB!Pwe>O2|HLa`68<1@wyN-W3SVj=w?01q9vtBri zCEk2XAPYxbCG8O%JpfA{3_qwB2V4k!(Zf#8tS|ietJ3=V;(OLIRE%0d#ts%3{|4%2 zhBkM@c}jQftUtNYma3vYr#dZTVx*rk@NGFhgWP|ATR1gOE(UgvrzOWW z5j#=~fD+;<@$VQi7j8uVO*QR-18S;`x#^7+J-fo(JX;IZ&Su8KkEQ%#z2AOR&K*`n zdt)FVAY7c5`$n?*UiJgallxTDLXZfhVpKn#ay(+U<1uL+zghRIp)Dp8464r&sf+cl zT0BM4s#zb63(2&Sl&M@+O!4Wuas9G#s%8u(crK(9+3+gW*{U#7wIN>=@aqd*P-b|n z6Mx;IG670}sD%ZcSQfUp(_OsAf;drU8*l)!xG^w_L7s-ti45fB>R+#$&d($c4ivuOKV%I15D?QGT)|mKASOUQqeH!Qi-D!vYPdYUIITKm<;U7e6_8w?b2_# zYs&4CpHA{zXKty^n2}h*)JHd4I@RH#nwIEtLD9d86gGJ|T>w zXb%yGMM`rrQt14bKV`e1h1}Z;8^Y@hRg6|nIF>|$QtI%wEB2v;$Ks8YIb7*U8 zkIc~*+AYaw5mb~Hha%_ab0~5lJS`D&s-&UZOiG%YaVZo<96mQK zBoM0!lNWy4RZ@BykA_HJR0JXJ9uQkH5V9R{72LlS`iuo(x3ZQqZC%$1wY9qw(}dA@ z+g4@yn$mHj_dvPsZ*B*%ao*m_D#ty#RYtwGO;U~<0UbTIs^gs8kOeDz|{nHaT zpfQ;j0eRdY!DK`D-eYIB4l5;pP$pQ82G{*}>}v>f5Y;WbW4yY)?&m|Q3{z*qsd}Ya ziRtwW^Jk+r0vpB{AE9J#EgUw{n;`@a3_QKkymMxT8dvXUi}C)L!x2|D?&@2^s9H^v zzZ67f;6Ju_p07Z1%hFONUW8;^;9x4xDv+o;fgdyg5CtgyOU?I?-4Zf+#M3Dx+K`wg zjKuGF<&`+Y5?(MlS_(WAHN-{|;VBh(fj4>YiU)qjCJOFerS*->dn*T2jkqaS^-*?$ ze#)G2g(`A8Oa~|cEFDu5a%{LJ{*8cgVG2$J30p|8T$PN#FD%T1> z%=jQ;h_Nk3K0t&2g-^{fK20W!&I0ICcr025U7z_j!T@?Ho5 z)VvD$){4tp!yp5S`|Rw3deom7H4%l%FVWHFdfhq>a#z!4Ax3CRj~=DYZ3_fb{ms+-ybq>!u)_E#p^KK;I}qvtQj%nJsuf1b?x%p%nJFz zPEaYm`Qh>suzpnG@Y!#Mmf>KXh{jR`mGlELN5EvVw0(X{j&-xn>vQ^zjr?NJ$?LXt zakzhZS_H_!!*f|v@nGJcw&i(QGm`PO19vvQ1=efBS8NNokblVWYwid z&X&zaVYTeqLYZ;UK&#gtPHU}ek^v1N)myOkyZD&$n`r4iEiJ}$(?2IB-%4wJ$7R$f z<>uDc*W-lqb8-;;5>myir?kD|m?w>Wz+BL$z`fTJeC^DxsY4KEZU~NSyo2lv8LH`l zBPyd2@qqX(LUQQs`n8D#d_6J@lUo5y-`Glv$T~Rzv%-lq_klLSUn;q)wL6c-{iy7Q ziO%C=!L2XX@@)ooW#UKL2YJQC=&z&6yMU=(`cAXSzo4b11yFm%Ur3^pd1OK9^2*7W z366-LKlRoOHO^h0K1zIy&B(5Rjkl0kgxioEZZkMkavW{w0q{;dj((D3&1RGUn?+EY z56rg#2a?h(Z8shS!LuNGvlQq~=|{53;*Hi<=9*i}3<~}NU<&9Jar}J@MGqyoV97DG zPFiwHML5IffhBemWadc*TJRrj${LV?)Z2llAn?AmRS4Kf9ldpd4rdZAh}=!YWmk+h zaYCa*-%wdPS8)F8{tJBh!=a@Y1rPZP&Vyf)+pK*@)Z~`z)01Y$#KREbHMI+Wg@+bL zj2VmyV3G*3WQ6F1TrLMmHfmn(<&fOBwA2p`Y3A1bQU}!} zj?2`$TIm8yXw7C;JRrk*BqRmxuwIQ1G3mT&hg1E!copRa3FgC}7I z*_K^prWBTKOrO_Cuan!^qEm0a(bCZ^vOjgkAqGzj z6SJ=LO8QBZC;h<6!<4IeQiLEWh z`QksvA!-L$qTS}49{l{n`RdiHM>j7~%B7!boJGH47x)AV&_j(MOWgogF@8g(i{k59B49tCUhX0po`%kpkAm*N)14URKpcz(PU z(tM$3UK=)(ruX5;rI1qRbLIO<^+4rB<_v&6abYoingr;Ds%Q}7v)6iU4^n?{Ff#b5 z$rNnLf!hA=n^}bD7$;;8HaNKgRJwrs*T*WfHX^jC-DDI|+RUp+>Ic944c8JLQ$!i7 zyhd2?a^is*o-g>&JSUOuWJo^rq|vP_p7juhA>OiF2;jz9VWt>~8CEI0ntVhMF#LpS zbJ)S>3vqY0po-tjO{THObCKn_=()6nh6aj+AA-O>MwO@xNR1ad0`JaHf6;~?c+h-T zE;{CA;i3qBSVxn~4;Xb~a`KFGhciYIH8plVKCOdQG%jaq(*}ka&Y|jkoinHQW8?wi z2boRGA23UOFrtRvYR!*qy*^K~iv}JcTT9HP=>rV>!N82Fi(VqiPz+LS1dmzTXrZa- zdC%+EAC^NO_q{%l7h)M>?snQDqm5cNn z6DiyUm}OR3clG z$}<9$ih)X89wdP3*K|gf+(ZpAQjCBUWf=^f;NrZ{tG_&A#wJSLwaF$@R3lRlE^yV4 zEZXX&ZycLKOx_L1{==VaX!mE@H@Q9YPu1!<#p9O@IilK>gs*Ukl!-B~v7*-2e#1nl z^T5U=O09#*$>ZT-$P_He6kq2be=i85u84RpRBkN&k2Q|4EV;73+JG!gR3MM4bn8O_ zXR++{a=_4qKWcsV3Ti#$C}LThb!o?Assz2s;RpgMm?bZbfJDeLK#%n$~-K~%jr@`zOhF{Fs_aQd({%YadjBrY}#3a8LkEEy*Du!^inc&=>$t|sG zM|LtlqX@>Y>0VKTp3&U`=;3hV0kCtX%`(O)xd`0dP&Ur`%lQ1<2k#UjJi$gZ)azZf zJp>`CKt|+LMkZ5O)gc9UCdZek*GHd+C2fya9~9@h`_vJDWQnoZADhR)#827M6_;JZ z}ZRzbTUzd8n13?~@jFFCN7!xt2H_f+uwTQbL3m zcboZY&W{g%R59ZG{KkmWXwT1x^Y&BiSHn--Z+=w2L5(m{d5uDtHX0^J*6(nqAs3>f z9KiR@W;yA_X(&9tvfI@w6QYa{2w!WZOP<&f5v9)a6K8zLai~7I@mE&IK;|oVh_1TM zWHU#4@HW#p`RR$RBbec5d8l*y?|O_#!iPIJ{T5H75MW|HgkJWj@GrSxmGIBT#A}7a zYt$YcH65u_qkU?^jn&B4bENL2(4d-dsW+=x?~Gxnu3ftq6%LfPa*hSw*4#G%y53~UD+t%o-qS|r&8FFw%{mF1QM zS^j3mEHxc>6~u2@LYm6+Kg}NQrl^&@NAkjn65zp1zGHe<+HcRs^i5r#*2y--6|EsI zD{Ew-Xfe`12pT6VfZL`<&1HMjosju)F31&Azs%;>s&l`o3h|(|)#v!d6<3*K{fV~A z6?ZP6a9z5R;aUD!#lK$Du)p3svk{f5r-vdkit&An1b2vp7>Ow}qgTn3ZbJD%0>NNK4E=AS= z=xyqMt2oQ!L?HbnDe?%(G$II3#8j!hSDdQuW z0ROeM{ZC8#&lFRF7w*G*0hP&fLi7noO$&$F<;}8VByNAS$QXYjw~m~94m0N1T$$@) zg1P!tT1tx#!f}4Z?m*2to(Z(;Ce2&%CgZX#xVe~5fO?cu!w)x9TTS4N&ZO7SHtSTNN&Zu&v?$?FJgL*%OV55`|1E!gl{6q-i=BGAF zoMf?|Ffhi_G|qm!8A-prjTeVoRe2VnkjKUs|8^k}@s(U33Kh%}DX0Wohr}X!3JDlM z01o*&srRYo7UyWNj0MF}+l%Rg(V3dq-j-OvB9aiQ;LY@v}Yv2p=FbP#}&=RLcneokqy=gTStlcyBUYLY+}V4 z3;~wVlsFtQ;LAB3WRpwdCGHBX5bt>WQ90FgrWidQEMb-RMk&C)g0B{`$oOO_e)&9@ zG7O_p{{j&cSp?tWy5e^ki>z$HhF$3e+Hao&MC9d|2k@zO8U~i+5n8J-Lx>be#(cF- z-pRzajlYt0$ouZsOWL)M7tNIkW5(KfgAMU9$!cinO0E~p;~yhp8YVT-fGa20XNG4V zD09J9^P02kbIrR?wO-<(_Qu834Vv)uZCM|_kgEh72jFSY2{wqHW?CbIzW~v3Re|!= z-*3k_{7tKzz3?MXSAfsu?;m+`1KlN`)UiLisSK_&(FO6;@bUX9|ndHzWQSu zoEeIGk_$|{KFrm2eu!1o-(qyGS)p#B`Igx1Y~Xi-Cj*Ox7zb6Z7nG{&@bR~vts>NKzfU@xpKtm5 zT0=phsa%FdmC)^JE71ZhXyfS(`w>8d_2l31uze}fyG z^W`y8LtV2k8fYE9GHLldIQx*~v$T=(FKN#7Wcio4$MJHD0OISr$-h9P5QegMmpR~%5PXuI4Ph`YO>I_JjPgF zVhohCZo*#JMd}ykMb?wo_qze*LG47ieV1fr=u$KUY~7W8`IB#Bo}{AZSR)IR-Rx#A z+*w`BQNz|xxZq?@&J=)Ui(?j!r;wV*CVyl{F8KqkTHp;!!AegcYR62G(M%Wxf>88t z#K&*p%Z#)mkJs%FH<2I7w(Hpz+m{*7ax;!bL}6D7KwmfVyj)q_aA@+oaRRljT&24~ zeQG=4?q$0OvH0^>(4wLT3~elOCX~48UYoHbmc9+mQ*|jhUPGd5s8huAv)6ntz4ulT zIJ|gdEw60bpN3+Dn);Kt zVcAJalJQrz+`Kz(h|DwAf^Mr^?UD*I@?R@dr*w77;--_u-eX_ySUGIa%?lH#w@C!% zRx`YeKG>89vMeRQbwBdLt#pF|4h0IIMM=EolI3Ri|oY=nMi3g zJt(czI+xt%W*(xwGb?*o4+tQzf;EzUfuDY9h;u=YXs5rS*0X3;H_rSp?kMH=^PTN} z#+vkqh1J0NIlq{s2Y4vP8cpFjTLJv{Y6ewK=G2HnEvc-trX=NOm3dWg*+UVJA z|Jb(EY`l#Dt$RaYSJ+*-3Vo%$E;3GlRM=5ukScW$eoA)l8^3W z1qqc85V%}4b7Z3;5zDzrCmgS*l!_^H&NtMiqu8=IwpUrTOChqZYFUdte_chZ8JoQjW+~OUZO^1S@p7-HnsphBtJ3=W#nIil@_E^Bo!9b>ONtzG6 z+FKp0Y%03kW%6m0G*9+?OLL27b@4_X6Z(t|ugGRKwdeV*Qina?DB-}mG4{E`7%DYJ zXLapcScC+w#D>6&D6J{;Ah#f*{08ZFEYVv|_TA_Uc~|&DZ<(VOnbz9Ki48{YA=r-Y*gEuCB<2tcQYY zMPeDL9MTpUMV~(s;tPQTLZ?r8Af{c%jeH4GFLh^dtzm~@Ee*5UkTzXASy zOZ}BBWN$+KDRW~h+}KSZf=e>^73 zc%~_Db3e~gEXXeqAV-ENnag_}>KLUXSyA~r^bh`&>yA_3#~%qasRQe8P$G=u&3Q%)B&ck8YzIdj){M2tyDLZP7QqD3OLAFY9kZDcRV6jY|U`~i>eKs zMM^~4pq{jx2^Hm14`#0MKd5@kxG1}*?HiDml5UXhM!G{`&h^EUjj#>3>7gLue0~LTQSF01BXr%Ddjcq zo}@qdiznYXt1IYJ96T(-nOaBp@J54D?r$0Dj`Sj5uOu`p*rE3D;`tKk`_p85QjvXf zrl}0(lIRZ$6hH4*Wq=L ztEx4#Q8n^<_p{dAwq{NQ)CC7&QjI~<8+s0>xhv+Wfp3u5 zhAUhM6ve6oRv!0j;aq&HVaKR9SJ%Nd`ps|0yC}oM%4j|q7!}zYO??$v)kSxU&c@uC zjN`v1*`2v28D+CL=7s%mmmRGaJ=Vnt z_3Lzcf+X+FU}4}IhhW7|oqM>|y@n_6+Io;5q2+a(-yvwgnM*XcEXmKq5%P5Nn^{F> zMlph}t=2L=d;2Jx3r~4pqYzj+SYsA{u^kC1@ zQ8V^(Y%*e+=ghJ|nKXMo(Pf`XfD!9zkmb3m-yXXRth!)dIP)p#5HgCu5XjL`c*@q* z!Zea%1l3?w)PAIglpaPE zIe4J6x><$Wl3%sSPO;Matp2Z@0lZ0o`&5z11L}4Vx$~5+EeY%0!UvF*g?)DOVj+tR;cLo&*vg5v(h2|i!(mS{H(|c6Z>gy-Q!IG=c>sL7%!V^_h@7t4Ky8#K z$N>lPq7lMa4G(g-%EM|%vftP62f(HJ8WLH{7&Qqp)J(KIQV>SFPMR9C#9h8~lmefq zcrmfhF_l7{QfT6`yk|F;AydLI#+SEP{*xcfo4x&h%U9WM`H~6lIQ4i%qCeQ^)F3UC zR#xGq02iL`W%kB^(E2&X(P}%6Wv)9uTl)@n*WKFbP{6}N!0SvUfH;%aWUTWz#)D~r zh+^VsucJbia@uLH`1kRCdkOpW#HJ>L#AW_<)F1DunuvYO*kZ=bZDQN_Lz3N>Xt%P^ z%boxaof^>BLTkI!dZ|SHGysKj>nBEn;YR5>D9a4xS}A_kzH4fzFY{+2mtzR&a8M)5sR%a>$H zdx{p|D z!iY2Vw~7F$)>N!N-HNiC14Vqy$DMAf+?+jOBTK=_hfpgd!_w;e#SJleTn^FHF-752 zT3FHRqwCWFh1WEu9*zAy7W~(VNc0dbkc{e06z!t1^_MRl=5esx?Hb$4n%A z8_jsBtb zfCND8cJ(2_Y1NRb;qg#%rR$ARAtl_`sW0`}L8&fGXG)S1OvM6EZ_-f?ON@M0iaSL< zcL%WaOwO*6hi>$HCR;gt)g8YS4MGKm)l?9QB@CZ4a5*_18-uOCPKKpyCeWpJR%z#mmZaz0;6S4$dIW1zf> za(&f?Lm!>*YZq_&wbBJ&(U({G&Zjr3=VELv50r=|Qnto3ryJq(FdZvWi(NgiMUVpa z1iiv+I_V%2*Oqem6X;Y%bJQH6lOF3CQFiOt2d4E)cc#qo52LnqrE|fm_CQE6J>|!w z__VUrcHD7%^L=G%Xn5V(a1EXwvOF$P0dkrD_VYd0!Cz!1ARQ*`w>7%cg$XQT;P=1x z8r*M5OVQod8N;c;$>ONW(Z)xRqY7a`)%;iQdY1E7mZ}s4Rj_2Lt|Mr;_TwQ5ehBPT zi9araW5YBp1DDp#MUH!m_@+Vs18Dl3lRAT@@uquy5~aLV+cg;?8xM1^-nvC9+s54}3 z*-5m~z&_du*hA<|4MO-%6FS4jG8TBXkAKzBLtt(RtdTZm$pazPKQ`Kte&Ka^@cVpn zn!d$auu%a&fy1&*#V(E(4|F>k1gOG%zH+8*9FS*-)VFK5>IZSI`u@ZB-QNoNOowYF zKrhX0k=yMGIt&*MxXksWMn}H6r8GY;DtDUg-A1;So94;a0Au2Lnb&t2rPVjh2e797 z|66%jp)*nlYUI_fE^QgeC@&1?cO6Znb=!moZQ%XJy6cp}Y1>s^aoW1l^gSi$_W0`{q4X?WqQWf2 z)kaew(;?6E3pti$sLM)e*+Q({jXo#Z|4j3FoIKjcp^So4f&tn$)}B}o2>5%=%8&pn zl7GpMtmL?DXT|5|sEDLhejznxY{Lq>k>6iO{HxXwMO5a45LS(6d!M`vY%bVq_3{z{ zW`keH#|SVv{;svkn@e$(k@cUjqA6t(w4 zyK0Cm4A+Ap)yFwu80%{8+?{KtWG$XsMA2H)`d+dxOO9f_pL*+MLWm#-be&I|gtBzl z3|Bm(5Du=yucBdR{YMzP1URLei2EP65n4Wyl1ZD#X#YsV)HdEY+B`Mb*^vdM=+U^KWB<*IO~y7w{=FXy9Nc?9gLm5U(f6Q;2I%mJcujjj0N*myzm|fknTt-~nTUxegTp=EUcK z&|-V6D}>a&e?UpU*Y6!!f4O5#&s3S>n$5OAiDQj=YIVsf9<~M_ki+Q8)%d{~14{kj zPi~9}OHwF`ZR)vNYZszkCvlWvYg%Why;Pm&+dt%4(6TX+aollPsk<}LI&6Cu<2B0*}AO^vaemvU{}!E8C* z%}YdgXX`yOt@1FoB)jJiA^e`U+_x&SFA?bj@tXeRHf1H+A0V61jkbQ`O#XSswQmy2 zP7%M^$GvRKl0cm_&I21_vTidd3HHX4FV22qz%!6UvpF!zFhnIkQuGTHp31Yo)eo;n zfcFjbcmgvGymhLxtgM9N3M1RpMjO>XdbrE8G>oZ7HMYKiPOu(+7bBKpsi69mJhRqw zra9Y-^XmS735PK2v(%i@2)2}#B8;QoG2PK3uHk(10`~gw4-7dT@UH(R%v0L@waF8g zAG3WUhnr}%r7zhJKU9{?UtC^sSJSru*^6$;mG9)5=D?U}W<~Ybx_@9V7P5mPH z^HwC`0@I8WP1r(Cd!8*h!oEcYzo>9XF*PR;!t74$7;I(wJDkpk|6aePJIe>X{Jtr;e{?)_9|Ge51ZJLBx@g&1*H?qudf{5GO2SEFa} zrkl$ncP@_4s3X&-v|e+B&02ZQ=iqQ=oKsXZ4kZ5lRMzEPUAdpb|AnPtb$a_BpTi6a ze(El{K#Jb9!bOKAYM=oP7Q!WrVmA4}N+Lqi*lkGRhw|5i?EO6FlN8@VwTql|ELaM+ zv&H;TjBX*NScFn6gPv(hETx;N#nJR#%Z37iK{aF&@ZG-OxFqVDyjpD8`XN8n;f5p1 z+QTU*vcfHKHt;35N{xm42pIkXV!kASw-CP+Lv64YQ*1qA>cPm^qHQ&pO z!_7!!K(LKSE>D`$)EgG0sQuPtxn4PVL^|0}s}C&4odLI8Wv14Y*>}cuSU`aPtxfFt z^vC=jYA<9R78=5UiX7JUc~EtPL6B!soU3?iNAJM!VRMfI_Noqnbx ztXpK+3R@$aJm5qtu1IYZ{Vz?H&n?!mN_wH1eg+(a_9~kMp8i-UO`eG)Hoa*BX$dca zD|pz;tQFP)9_5i7J*oyPcY`^eTw4w4SvM=DjkNSK8^zn)QIT`O|5YoA5r?2R>+GLi zUOjvnAmXQ2nKHKOQ=q~pa!txVE(_?eCS&uqvm(wGJYYU8)VFYzQ_6^n)0XXzMtbXP z<}~yvh?|`K))fh+M%fTlD>Jj?lJDMr7hnqJWHwSZo8Kz@dqY}dmLD-6)$#Iup8xHC zNlbUaL5KA&qGw}EDxQ`$t&doj6aTm7dr1*RLw;c(9*}%r;hS_{Tko;9vxDmS=a11f z#DSwk8iCl+6sumu8hXrSO~VpYmw4?L1vB~2CZ3Mo&d%2y1-;YPBCW$q`+K;qzWh;M ziBWVUr)~PK$?joCjHAFFU98<^?&}~9y&g&E()@0&MZwyfnCZ9o-eK4v+kFo!hdY8n zynY9frm`0LQ;E0^Luu=m9IhXIF~2vH4$r=VG31#bEGW5DKx1Xk4yWQsA&*O`xFlAz z>88vEE&Qn=wIw{#X!uhj@B)NTw&R3O0?TyXg%jvI!9Keri|gy1-RWBp)f=v*7*Psg z5|l38e<=Z|F@LA`GW4kb1Rjy*$L0R+_2&fX!>^r;Qz{KtZB2dGF}x-oXJ^kx zoE@giMopQ_eqwGN9L(H3NrEpC2%+%NhtT(POd@E#S0y6zuL}hIxLQ{S3iIJfKl2`} zp^QtW2EzQevPE*(Unj}6#uz939bw*etKYkwvF66=FHD&8J3D6z8T=E#W}h65$-R4v zb(sBtg#Zg@Y8>n?o5B*=SVdjb+@01rING_Ug9)JG64PQ&!XWI2v5)k3`ssce5I;Sg z#I}+zv=vT~@_d7?=z5~?eDr-5LkdUL6KCezoI)tNA7*8S9Y#EKj&0ES@f5-c%jT3S zK!wO)Dc>Mc%Q(=^gzZ95BiumCEx4T31^Cu}K|}6=b5(Q+B5)8<)B-}lt^T)?6%-L2 zFA|{VdM@F**t=Qr`%jJy75|*Hf8CKC30reEC+6KmApk+BuYD!HHcu|#F@4OG`pdva zDQ}@pN|IHdr2F;;N0;QD?T;ILy|*8-W&S*BogJBuNnM;=QK~w-{Ku<%7T7X@PC>X? z!ET?LANc>sYTxow6g<-<0lm`6Fzj(D|A9#K;rF|`i|YAWRo#rsy_a1#2aL7T58GAc zUz?fHLK-C+U||XJW}=4kDVPMW`nan-{=6_fFIpqjn1n#IbM7L4k}r_%+_~FfDA3Z5 zhTpTb(Y})R+X@_|jYR%eGdEPA)gtJ|mh_bY84WZn=<`T+vW9V{(YM1F?DvRmvq{jn z?!=Z}pty!e6f}6hZ@0u4Ok(6Rl%-C2Ldj&qD`-=+dJj5Y z7=Idl_MaUXw8I4L)8oi!7 z#Rxp2m>X&%tIq!umZNxK%4xOKm^!&Nl)?(UT5Yo=6z>+w)cfB{xnIwcd&X1fnv8O=?os( zpbS!%>L}6cVXFK96`6=>95D#m+@A_-5v-@REE%Z20ddBTf{NM!~c3!AvJn-j;HS{cD zrqif$9ikS|ED>X4L^$7^ZGi;JC{rm?*aEeHy!%THdkb7L!}z9Ono?{&IjTDrc53Qm zxkrCmm^}|t`GLTh) z2`q>bB8WlR8IbsE~m=C4b#Rw)x5m0zMF5@;Ek zkp@@kEM7h=D-UuZ-|)LCG(eMbsz|$_)%Ej}*`ARav*@_&ZY?DZ%%Z54D}FMwoWzWI z)G#o`i9Ez1zNXZiw)zfdZCFBHEG_P4jl zHA*nf**@auCWA&nV0}oS%~%PM{P1_FAI{v_5HreYwa3MuaA&d6XRN7X~Afu#>9>10KY z*KiH-dt*GK_;f zWQxpw@$!OWf%M3b-?vrVR-e(E0_N-Cgl3ml$xX}mT5dh(uk3w%@pi_PaGNOU(lGWW zm~k#SnX~v;;+w*4!{iINJ9_mts2$&XrlQL+aNntK)K{Rud=)5XK9kh*xoWGOhe7KP zHPPi;Y&Y-Ea_Hljp#3XRVWxNQVxo!34RWPUUjk5{4fDWoYys3DD{fe>e210_bh>gRV09pdb0{gt_y4^gP%9G5MDWt<%S>Z_uVBa2 zUz?GP`fW921o=yG6rzunI2ri2Ou`L;(bIOGm66gxy&THOXjl+qNNA!xtD_dq-=_3= zq|zk&^YkcAW^Iu-!lpF|Xu2YDUYhVyqC{)Q^O}?3xU!u6Fm)A^I>7|Op$Zl?&gz3w za zgR~u0)+?X>47{#yg8Z>kFJ`^moroWbIcv@D_YmXN3>qt_KfAxil%CPWOEhQB)WF?y zTzJm~a-lF`2?9sbeS;mA7|$_~3S=*H8r8~1dsyu{-xr2N^(hBkRLzc9=n{OOnx^@Y zEr4%&9yc9b?WG{e@<^ItKumqP$&i=T@p*S@Ir z#+~qmU;|3cJgPi$VPJHU&I09n>g*>8SX3Q#N239OfPt^vxC)k~c9MtS^V_i! za@KCHU_lFhxy-sYGsKBe{Pjz&|FsP}(*`K_HN~apM>79!idgx~ht^DetztI+uEhGG z^MvOpE1SK*CcJTgO;K`vlD_ytCRP{CrYx8J`rVK!5rEm$oK|1IKl**_jRq|q`+ zgl$mgLyCf})hXIXhlxICP74_acspNrx^R&MsV$ArG&Fdjha#&(X9tP+Ntw zzjs*sA(O1YIgM}IaaB=@r!ZuuYV)jxvH-Bzd>iP`gQVWSHQ~e!IeQ?ef#)zob2UFz zAWe><&#shkdN8DEwp{=@*j=#N?-B*c;Q6rX*0W{zSDw*+b0w=w-}KmdlxJfefW)X1 zw@7T`qswlF-l_>o`u7;EB^U+2-9AdoCgT&__ny|W z8G1jf`_(^}f=#EuOtVjB7X9SSi{?1E6y7NM-+yn;nvxYiejCoYY;ky&xMI`jC>Da; z>IL?9O1O1Zdd7};X9ZGUmhMOcXaAu0FGGc0rX~2zn8xf(Je6_nIt+1%=6SUv3pyNF7CZ7ng28DNc>hLb&e@kHYCVXt3#>Fa)E^i~QEG}H0Hf=*h7Bi*LY@w<%vXOI z^9FEYOUyJ?lgxBO7P{X!tl2`VXuQ2TEoF-u^y z03u^uM53)BZriVyx>>kB-WD7|3*?S#)e5X6;pgm2&o_x@F72arY`5lA)UGj)ImN>@ zg_Bjmb7Vn+p)Rk+K2WxY?eeYm!c14T4>~%~arP_bv^%zQdvwUPSdG{kh3Abb z#A*uH6J=PIPcaEXj)SJ0SIKT0qeL<9SbK;$MN?(LV=w+|y<_Ln6xvGBdJ>;gHs z4f#Puotm}9sr0V)dXdkMoIR9%hOjRqZu0K?USlqx!UcBu#;p$6?i*=r&h--c?*Eja zKkxWyNLw0{pZ&s|HItj6GF)BuEl(kk99QoKW@Nsxd@%lHgHll5Us=2K^OYoo9!md? zq8|*h0$<OXcSOu~fG}D>N&#Il44u%_$ zzuqAG1Np_+(?fbSdFmN)gRyqER)`|a9|Gs2AKX~4M`c>T2_d*&l()8?x>#?j3~^<+ z2BK2y7(R)X0_XyH{o^-6T1}6C>ok={S6hE_bd_k5)pok@mNWT%jxV)O;V6d^$hkf{ zvu^(Quram&cV`F#7xL!f@*i3-6Ri-5H1<(7YeF@v`YbMQ6EsYqiTkvTJi_Y1`l z9QZQ?$HS7y?05e@g=JGCAus7 z)^!{^%TM8@o5}XePlcQxId@gk{C7iG*Go$L1UNs zn8&aO4+a#3gWRmKzH=N`ZK^5?wI!;WGJQE3??KtB*>j&(J5MRgub3plc33gQqK=U^ zev;q6*HYW6qB2#peconqS1_Q)1T+y-x;*FGgI_YsXWXDZruZZnjEuBqW&h`+Uo-`X zh_%twv*hX^3~3&*P^fMkm3yp@^*?_hVpjs3&?;gOt%I~ml8o0_K**|}*0QBo$p{ra*f!k>aX8ZvZ-ov|}cKJ6+sNSp({vxvz=;t*r_r5E<JiIli;>4CSf}YN~`*E1T>Sm|TA9(elq;h@eFE9iP8yyW-erk@8tYnu^jr zac=*Zqo;h;hTQ>4_YHr~*yYgkW#|x}v%ekNB0jpjxyZViMM!1;C=Hl^tTBrk2P+Lf zxWBmijZ!9{N4~yV+HT4HR1q}Z;rO$mwI0~GK^76lSR>ObWp{Lz1-gLXn*mH3U zIgnX0c8I7LqwyK_AfWpbgxdLkuGO==1$_P9)4r9BuSB3s7j6lF@jN||p~>o1k_0~` zcq-U3HlRs0IKF-kU@RTEomI1fcQ%P|0`05wl5jO{MvzGbMznVUK5*QTXvFvbVR0K< z1WEoc6_@?Dr%5U3;`Gcg7z+5K`W4Sq<}vGtrui)a7{$EO2I=y4g|m=n)7CnD92n6@ z$vvS+^AosP<3m9On!}Wb_>H82X5uif!ba8*Z#pvB7bO8Cx@Q_iKfjLi4bA&IAKT0c zSt5J0DLX7kpfVW6ZtGFaEF#Xyf2jx7&hp$tL`XKE6GYElw8`|)GqhS2b+QJExu~zW zwdydFl%{ahIc^>9CJH$KV!?AMz8`9*F$>a@aO6Y|>7P5veZ#7B6^u2FA39tGowiyu z#bF-rX8Pr-=7Vfzo$;b7CHSf--_N33-hKHQ)ne1XVwd<6^KMvuR+%BI_hGv-Z3a~# zHW?mv;rJk&fdk}=`#DT9=ASgymZ!ftXz|fVWYlbrYDzC2x2`SOAU#7#%hU$d6#5%M zsOe)!jdSTv0qGI+Fmz0aO^aqMeZnT5x!%Wb@c!|J=ejM<0&K|Se8Rogex!Myp){6H z*{jZxO;Irx#(*w>?oUKCC(cv&aYr4SUS$X$O@*-0pPU$uYq`(Rt>p#)gtvIhTQ~op z$1eVuf%$;NA&}a)<3?Ox5*%a0kN(4W%7J3{kqwvY+OsfgaS}g*Zrf>`N^&VV@7N-` ziB}`v1^P=V5&rCx1T%v>PEn3WZP0J$GkiliA z>o}|*XOnf&K*7Y3w$4DlRQ>$y&mGKW4Ak#poI&uq{cX5>Ya@+ zn-4aPGO9+>i4qIS3_0JPo(ovPa}cm|o|7TLKc*3C?e?ti!7lxS9O>%tauKQ`^DnFJ zJWh`h?j{)TuG4UAQB^J{vpLDie&hV>FhZB_yO*$aq4RVU{trLyuXX%Xs&T48R-bWm zpbt;2fuR6+wkC65=d90tuE~8Zy^Z=9Am)Q$E%TPgI@icFYvRB&S-BDqVb2ZH>{>1C z@Tw#6SjIF9#xwzV>2_0bUUgaT4YJ$a*q^Brw=Od?T+rctcCT|m=b*)TN30W`HkL*_R?-(r8y;NVoU`O9t% zV}q{;mC$J-Npo#S-ot2;2uM~xcXiceJwM6Ze>3WdI%Gd~Zt;R)mN=icz0q~TbRp;B zei1x-`fIvOteg7`7V zJo1V^FVqaoy?le+uNB}16Ns0}m5^%L&?PdGK+X~kGLhrPScDg%&nFml9>9tyTH6_h$DM>!SP_fH=XhS$ zHhcVO?%pyJB6D$8X*ZkLjv1w2Z%F_=Cnach=b?TIw{G1OwY?Ms z!!uAtUsvVuHdi`OlI}zUQ960nm-Pp*-)tTs42d`Z522(pqkay1f&rJYOP;J1F`20mNi(R_6%- zY8)i9)Y_A?rA+wnCm24xc};*N!z^C^#M)YKtYr%mZX!ATX0#ECGgSTUF#IpCTl1b4 z@A*BOdbI9Z7S--d$}#;_M;=c<)eTn!_2_z;F9IYp5&=ttDIwbZl_Dphqj;hMMP!p-<7z!0g~glfz)4B+N`cy ztO#keu;Bt?V#7QHDu*B*T|QO@1}3}5lHaUysjn%Bl0}z*3BS)^{M4<^rK+VK^u`qq zI%#n6u8Qy$yD`5&Mbtl0qwPFO=PIPiQ0< zGQ@SOSfRGo&nv+&tI0y>|zT)pOtlK2l!i-vrKI+;YWiXP7TcIst-0X{3_h<7DFeB}}#-IcY1G-d%%WUA| zm*wxAT83J*npEe!=Co|+u+B9xbL>yitxw7pU(PtLwb5e;YWl$nMV~Fvz)*dYWl`{Y z6V4PeK1_YnUoW52SnAzeuE7b;VjZYgh5=g|Qx0|D!f0oGx8P6PQv0&+bbqrUoU1=x zn>!TFe#C60L3QecZ=-pY#2`M44iI?CYBTe{z#dA<8E2m`n#uD~zNhXdxus)2Fv>Jc zE}$(c3WNB|h-Gt6JiP|+cCl4_98{s~-mmWmTM?KrB$ouE%$*=-dx8||DD4w)W>}hWB%=@6RI;X|UCTFUhbW(_IA+h&& zL)`e_3ROvPjkL|O5|@~`&e6=@Hfi`SE+965eh>KQ{pyI!3=Ia!p0b9~>c}Sd)Ud3; zNm_Zyinkn-wNWeyK~?6CJFxlsZ661ZzB4i} zx-qs#(acHFx14hYJ&3Ob;nkmZjs$x+29#h8Ni$vAVIqy;p_Zj}y7tMRz+VT>q441{ z*%jwB37QS&!nx^EOv=~@M}m!H@y8Scjz*%9m+x$c{*|{@Up0+^@`U)UgtQ-nCQ}cV zgt623yhki0*FHzLw61GMXA7TqbxjIYmjkmUR6V6Ga=pR|@letbEnfl5onYI^eNcSU z(a=(=^wqAfwo#dv{`}S*cO@-3nb8_IJ0dUc9)v#7F{hj=(23$@QTnf|BWvFUZ`FWBr#qF(Q+fXD`h#vOqaX3P$ zD>F6IUNcQZ2*-`)^pW!nzfmA|tmRj0zt3QuX6^$cEYuBTPngpv}X$E+m^CD88#&WFb0^~!cio? zCYdS2%(NwWUbX}ffZIS=)=d4gWnv>tp(UoS<=jyy%yFoR2x3jzs zyBVWc<(sMo5}oQXj?IJQ={}bhF~A@Wz%y;;uVU)G`A%0i5MJwHup*;L;hdX4u&Fng zcah!G{8;XC$oDv#1#k9SJCi6^Ieu&KMSc9nMv%Qc#g|aEQ_^3{Kf&cx@iU#msh@_u zRdo5-j%Xo_rn%G!_KgkgV&X0iJYp-2I4%N*b_9z}N05^0aM~0ijl#jdzHgY+PKcye zRd|`M?y^&PiT(Yc^;nnGbJQD5q|vBCk55S0=wkJML0asGo`tHcP}iz>z=H)mTj@kr zT|ae{xeQDxCTda_sIpM!*}$a~KyE?DpH5|bw*zwHhXQ?iE5F&ig;hv(#!$mSS5h_y z-2k;MN=3L}e}TGgJ{o|Su)>W`!#=AeOG~?o^P}xGnd_3)cgL zcNmI&@C@R#@LJ`r_u%mmhG)l74C)&Dqu{Fe|QneANg#z-%+0<{UDB zk5!e()?K=;L9;9Nbq{^|Py)eW_P>@F$IjF^kwwhZ4GhL+RIuODPxm=INl%&Hp4dQ_%Wq2a!t8ox zyjb)M zN;KkD=LTB7Vpf**udgQ3z5-ZA9wkd&XIcdtM%eV94G9}zRfe;Xz32QGqyk}}454^9 zV92{!!&>)PvN&2@*VO3s_#38V3$$dfJxqE6vdaky6-jP|4Oc)|c%~!)HhOrjZ}x*} z2E^^ZxIxvwWAdTu9r<(?{%1BKW%0p#^%u+;9Dlx?x2ZG9Rzn%%U9K=`w#f zC2@ZnB;T)gF*B-Rtc-J$bro%;K~c%iU#)EnucZcsqDT=2CKVb7PYUj)$v=h6d!T6Xe1 zf4J^FC%gr-s^bku@_uh8!QVrT4B=le1hA^Dh!S(ImmKg#B+ocT-G@w=Y^CXV; zz!@>4m#gNCLKtQG1@!uX2Vc$Y=r;*542<>EeVUuB)V?5vN**Y!R@$d*u$zH%uV8wY zrcxnzGX+E@t7cDzS_&@tPsDh_n^gJD6qpgOD2T^bbSu=O|Eac={X&ik)7UmUXqGnW z8}sIjfdva>5s-)09~nt0BDZ(I&T+Z+;03z1ZRhUUGq^jpw(lLDZ-Qz%RFN}vmc{nO zc4U=nig9XBPw_95K0bxV5E}s*&iEHylO2xG+LtZ(Brb+hp=yRR)|895ag77(AsAzN zF&!~iI&F{6nSVqRJw`Ksy;pKw$7A#V^~-l19?WiGTe_++eNa`jTxQAdmPym(0Y$Yi z8;Z4zYs<(N`tfbT#<6hbK~RJI);R`bJVJJ|OfXT6bo&00ChrbPxZdRYV%^2rQ${S{ zHINI;fr!s=*rvbr{hp!i`?gJ?^X{L;$6lEYc16u`uRFTx-%GTkpXA6Hai%WsDWf5` z_&xXwUEoN<8JM0@RM$ICQ#otvL1HuxON)L9{Dd>?(Ne$S_o3}OZN9y2;_;pVTaRKg0r1V= zbT>wrs3;L^2*N?0b&%XZz0)smmF;JEUJT1xoMqWhwjJI71(FBAU*2r78x30abW#Ke zJKM-$TR&eMJw1OF760(=0cbn4_cs2@*h8G|s?Fb};Rt^@Z576XI`885=3H?uCQI1f zwYiP92LfT0|Lo+@zX&D1uPst+H*5_>{PvO{XMMum-bepL0e+m0&u0yLwE=lZdtE_V z5o*URc-Mxs|8A<;by!1z7RPBJxP4B~byw3d@c7T}a}DA)zv<9g|EaQ5w+I?!{H5UTFztLvU#@Z|x9 z(%60GJpQ_Uo70Frnbk-yc`Nwd@k|i)8}rH^{{D)s^KJ!_&TR~K1lsM%&W;Z( ztg={ve5VI{S^X|EnQs)|>X|i9(nc??uZ5BrErf9M>AaOei=#h_-v}U&K-#-LVj@sT zGLR5f&I5+{y$*bk5CHjQ=_neAY!T6)c-fgBZB51PxuKfkV9p$%1)1@}m*sb$y#k;)PuRhh@-}y z+O=G6l~^T#mcr$ea6HPj(5I z4YN8OhbaW1&!W1R%a7Q)IwsS?W;vv0?js_no?O|`Z({qqzL*Wv3WgBkYP=OLox#_M zMTzM8FQ9ldUi@5TpG5d@63cH7EjY5-CP>1Lp?>9Fgv#S}m{8{ZsE&0TqKroCu$amd zOWHh?=oMmfB+toadWk?E(<@Ndiy?=)#xJ+a$h2{7@B#f#^?qmO6xnd2?z4k87QwXQ zeibgyb|o@(5}h2(vIfTrD$H%?+;a)RLw&CaZ0pZtof16O0LE3G zL{6nI6Oc_WQeb928H^}pQ6;5d?3u_{96_X^vuL&Ra*Qcy__X|D@oso~PC(=sHs;+q zt$O@B+In{t1g-ixxcrD`OHkX#g{fnaK0+ze?_=dNZp?+B98MEeF{nzk4yyVwlp^SH z0x99b;{YySgq&A;77g^uApbhY&F$+kVu#OfE*qcNBH?P=3T$;GP-#bN!Hce+!Ws20 za0wto#{qqDX@ORaw1f5#XmpPeF5zlJU={mvV8Fk_Xp;=_A%|#vGuzMA)inmO`lS#M zDvaJETk;y-CEgUq4+7elDh@#LH@^W8lm8EUc=|y~Gmi!}Ba#_7Fc~nq1W_Pk+}H@P zMU+56cG|T~Bgg^Mk{hU8-bGA4Xf$oKXfbRvmj3d1T#Yxtkk2{hsw4>ql&Up+@nOLL zBGDI&GKz8o(oHwZ+Th>t7D{l5f2f#s9dsbzi7Y?nA6ryb!(c->#?g*aCf@p_j&5vK zfh>nj5V?WQT7w#lLzH(V;Me_Z)_G6s$%v3l7pcKNMsXe3_VWH^)^69QJfS$gO&-|i z9*<(y@U6Qj;BIi3@Jh|P;be*WNSRH1a>x0jT45xR(^?9P6o)7FV!w-3Q)_dm0260s zyY7S}L=-J{`1LpyZq3>63Ah(#Is-sSB{S)v(OGwH2PHRTaocASaMBbsY(AQwL`7GL zR~ayw(}o%`6`On%3_Gvjp(|7SEIs?L6K10Fex;@GRjdS`|J}u?x#RB%4K3LJ)7n>t zRT*{LZW;kaN$Hf5R7#LWKuStPQbLgKPU#L2K{_M^=@O+;P*S?P8>FP~-1j^8*SYu4 zdG7v$JZ#@s?_6V!Io5jT2sgazw%3BSKbUbv6oOA9^WdYjf&wmBrl8gzr0xEALaJ9K zM3~}e)9D{WvwF%_!)&1Y@0A3m_=nh4*%$=l5?be4L`9FT@YVUw?uv zJhZFpwI=qX`rk0Hq8onk-9n&>Htu>huS!Cg)@yx25 z)lI5@GT_SPDfC%QKo8{;QG4{T!`7#h@L~+CjLJ9it7seDOQ;}F6Po7cCVat7^@5wY z>y^-l7LCUN8gGr+>uv6UZVb(R+&YML?xa_4$iHsK4gG2KuNh0!586(wUY>*f5p+l{ z^E|PsUlrMH$rnBPOq?;fa&$9R8eULdwVogIg{^!&n+jqE9j5oHv{!YKxU)w!lqz1=eS0HRgdtjr_mV$W?z4NTKRPD7;b`(yYoODg5gYn23qW(; zeXF3Jt#hZgvoo;ywocQom#z;>$UW4eGvSbb%?qvGrH#UgLw`I#>ZxcEuvrl{P;d&{ ziqyF9XTl58=vOW;R^1o(C#d_Ct1KLAA#rS@0A3^<~IPTE(SeWyrQdu!?Nc1)`-+8=~#h5BtN# z?xb==Nfu!oj~&6={zTv;18WR!dZ^jIm(v&yRw9a(Oa5!OPy%I>Y^(G4Z)qo7A!%CU z|7pe8^5f+U_5Hx1he!`ta~K3oae^LN0tHfCViZIo<14_5G!7rw$dg%g&##xH$#Ln4 z4Q<6c*>^)v{QiPt93|L2*#gcYU82BzvBiDXeKjov`JNcEgNNPWn(CDEsNUE4V2VF8 zGmSG1PU`RolIZNUq($FPisqW)Q78CVDQRSK9#g+tY_`x~;8pRduG_LX_hr-< z2#}E_!hdJZ)RC!dKIuQsoJZ7Fo(l`ir^^~}2wfGXrKDOXePF_ehKmIgTLC~H$E|kw z6&-UD^H<4|DH`sTl8hPWJO#f>^bA@5JhD)xuF8tN|60Z^gO}MsJqK+V_N42KbpBRT zt$k53l9Y#(i08x5fy2`i^bmQqbRwWjoFO#dq0qiW?mdIoyzKr&N#>Fkd5dc6p|i|_ zD-{ajtvJH>`ovdk_cAIf>fh9=Xo!wY9mYpROfl%qviJL$kHgOuvm_?uj+G7$hs3SU zch0S)vDREA1(<3d$GxvGdZ!j7pUqX;xF7IeOyc|Y!7NYq_xhc#B=Ky9Ul9bgmR_N0ww4q&&y7u(|;*w_nw zOQ7-Zn#EDuVqw~(&vv&HNpxYiTVh$XY8OSLpaHGG2&1gB8$fXL}qsEAyt%YN< zxcCOc<_Xvi@P^*^cLvX<(^%T1&i>zWb-CBPEXiR@^a5-zlMQlJ!nHk6oBl;QyY2j8 zEwM+G)wRVeG7~=Ou-(}+)_HLkUK6g6lhuW2(n)ki!#@Q{bm>X0wZAACT~pDLbyD3a zW!Tx%W+)`z_sr z_!f-(>N$Mb_Bh>F8Qh7Z®re<9MZtmx5_B_A-Eg|C|O3TPE!tfq|wqRED5_`A=T zD}6mWd$>Q9HA_V0xp`!UiV!_3IoOXYy{uXL7t^@u1-)EtXMJupdd$A{cRu$=Tx?JF z+1o6*WZT0YDk3GR9kxPtRL-Xk1W}3as_Nc*MXUMuXybsh`l$>PA*{ftCneR?8=B%-rH)mnuV+x0k_qt6bCIh43jmT zdouKDFuwO%lx`CLfgT((va)HlqooE-Yh%&T*S?;v)FjUvu2C*TBK_vdxa6@5Xg{DY z1ZTS2|73K?no@f@Sg-Z6=Ic^lisq>7V0Xp~M};3{MZdXJ`?+b+MT+4n!ek;Zzp=7M^h71M1AtrJUK&R{ItO4xo`e0 zlCNHs`-oiikPb1Te?OJMC&4pQg?1ycD9UAza&8e1v38Nl_vKzY3)`UnrV$5^%4NVy*AwH|g+-f)x<#+y86E!ni0jJbFYUBHe~;jGnPL<)fGxp5!cK@K6=>#Ujd0k7lMx*3x~DTA7ORuE-xf4%>TADG2M2W*eElmDvoEM9dxr{pB>yW#PIPm6@dSb5ZVMwH3K{hA@X-1is3Tg^*$0C=R(i6|y1g zL+tHS85#Pqv9+e88AOT;_TF~rW^K5t8fU<3VL~VS8h_O^)}2+wwXo9ccf8R=<-7vz zsW(In&Fk(EedYfTYfT!TRPY~X<>jIm`ee54H&0kyec)o_jYoB#Iw|U;UgKsG&uTVXT$#>7z zJM5=SOfhCqIwf3`tisn1!6bN(Hyl^ZEjC=o7tn}?eV9*nXG3yxk6o_9!$U|%I}6u0 zXApmchFu)@oyyx~2|X>g7BknUB)s*wKh;*Y$I--m|HAP^sRzx6v=8y0JN40?bRC9+ znVFdx3JVC3Zcke7;w7h~+_w^V->b4VS^kbeEHrfOW&eWbl+*Ua^D$`WW5aE&tQ=jo zJwLxc)+r62m^=v2#>Pg;)v=|eCCov#7s4(M4w4Y+JQXjoVa(nou5PGV_!nU0+u4~$bgmb((m z-49HszC9Nf-b{VuI5e_EM^8`RcA$vPf+%y@)(#8_VPIvw@%#60^79nXyQ2U;Ey zW+JKwM?->x>3Mk%%}Imcrm0&V5@$YUMaJ+1`3Uc?A;FUKeXBWVFPA-SH7RMFVd6vh zRw!QcL!Ry=_(wVio(lZ}93t`uk(>g_eZJ6W<&E;X^PCEppW0z(FuTtG#J=2nhV`7u#EY{P^_rl%ULJTIh>G zlm6~vdo)!9@qNuTXT05~sCP4C-wK1tD+#A==)izl^+~Q8Yj1{F%)x3O0~;I8tj{@z zzS}%T!$DtP-{>hm9iN_zOuMm|tceMuX0diqax(e62>7&o)(D^Vy{78#?;opoe<ZHfCQRy3M+vsMcg1`jW8Nf3x3sieT3IpLooNuX zUqH8+{uTuGVYoazJa!Ha1DllV>+7w@qy}CnG&C8QgOg)pyz7-!F6QRu2n1L@TTOqf zZmA*&lit0+rxc{Ukau-*l6G?wtgo+E(b5WCTYH0~a%5y=*!cJzFph>67KPU#Z7LV%PlKoF6phcu{(=m(F+(lf@*K2nR#-`ofV;5Q18~$>%cg zQdCs*E{_p<S#M}}X=}Mj-ZwFmU1>?1B3>THZ?jre=pT7uR>dld450k6$ir)qV zNaZN8g4b&V35UNfXGmP!9nDhxV%I3*-KT0s%r76vv9hxM>h4BYIqy>96I49{ALQo2 zK|+Mxzdb_@4UIKt>g51{o8Ctq(|&=g{C=f3 zEuuF~7_Gn>#{;HlWnzHe(dH;FO1qA2L+(+dH8%2eev+7Qwx?s%LQVxEPV{luXqb2i zmGjMQFtqeYlRfP?w0|u4SyM&^6UGa{>$!ac@uQ;ytzdg|uk(KC8$||^h&$xuIEb&F zC!Fu%<5L*eKjo0>XW*mVcH$*Wpb^a7Dt zSSY{h`2NF(1$a=1e;s@FYQ+^NfB#yH)E5;M+3znrL5Rmti;z?H4A!E2oQhK8ea1fz=PxQ>=qW?mjQ7e(u9nAYXCv!YwG zO*9WpyPG>`eDN3kPtb9rB1C)kYrZ##pyvx@kQ}lMW(iD%TWX(At9lx ztgN}peDF`HftZ%IHvRqkxSq#bEvE;obP4i2#_f2>mZMya|FV@&Nr{PXOn$?A#xEcc zqR3PvP*Dw`cFzFjJ_a_40V+GU|v>zJ>{J{ckYUM33|Z)V$aCp`|5F2s7rkWH-whCNFsu)QQ10k_MR)_md#jNy>XP1QE&0;a2{*WcvpTikL(g@Ri#iCe_A>- zrueVX{{HeC_ZXiG*i1DK7rj71c%L2i3kK{i{_y-e-l1G!vWIj4{~1Aw8!vveF^o$g zVB_`4paq^p8_XUR6%{`iOn#w!Bux8FFyUUEjp%7>lSB8VFn@nkh#O2(Q&a6h5+Wk( z$>ZZ=q2*b4fJrGSIoa8$j~+d`nfF||79Rl?)5EO313U0^TU{K7()ZFoeS@Sa5dqvL z`$5ZGcB#S~ zsyJ-Jsu?oQVDiq@<@vw;4jPo9lFx)hM4t{Gy>FVi&&C$`s-Oh&_||wOmiTs{HJ%D} zngdZqb+>Hy@3+;vAE>CSqaobDYqAXh*=<1LZ+ou}_xB~>FH=)f z$jAVwrsL-)!3jdOo~(HS$l&WPAfc;E391hR3lR=Typa?FwD2M`_vEI{*34D z{NLrSe+PYH`@fkph7?xeHlG)1?&BL0!f;73#T%{<b=PRP@HrSBYn2;4Y2ZyyPamszjT;benki&dSk4!F_@7x$7oe`CHMSPpzp}8g z5uV|5cB8z!T+nIl_Q2qvs+t;Vn6y7wpc=0I$x7lif2X`zAM0Y=9w`AlXm8i|ngYpN zU0nE09*}KqZ_h6-20&gjhA+oBMXwL$w?T?kRaKQ!RQxgh-PI7h1@ZCm(Xp@=qXcH= z(5-tu)z|BejhMYv)hiGQa$vGV1@v#UIcP4-Y^4jx8;X`4$DIS_s&d zM6Jy<5>)f`i1=VWv_U5QVsD_R7^$)Xj`bq*@9x|Yao6ohT4TM>#nl0`AucHiTTHAe zUyl-4e=|8zcD^E80zD7UzBy??=&#KGdpWShs8FmAfCG18w>8Ey)#yzDD6=+@iyMqj z6Mch_DH8zYCUr()VhGaP7P8N;&Q3{H)jJjz7O!5v#t;w?Ku1S^HSprP~B>}~K#Z2j>= zdeOe~f>|-i53()lcb9ER;Ol??{(WU@8zbs{1`XOo{VFRfC+q=h#wyM5ftba?6#)v2 zO-{B=PEv3+T|ChDIei@}osHRaAM6-SLZhO7!ZWsCAGjx%tCsZfW6ST~H-JVVi9CF& zsGIEOCAX%(lY)!sKe#d#J-sNnL!;S7@2{Zj0D$y2dV8W{Vj7(tt^>Izhz28Jc4UW7 zAZXbzO(AEj4HuC@g1tdQLzC8-nw%V-olT#VoZLDyL*3wUB&niu8xx;;YR!z9emaZ@ zCuqT()PLs=s$Lmpoe6G{1Prb1ytj!x#2 zXFBank=@t)qB3b~WfeJ?|E#UE69=K9p%K_8dXBfhzkk!G9r(U6Btko9=iy`~sKsze z*l#!bDnTxWx-=3{FHl` zL(W$?)0mn{*`4}`5R%{@ZFn^qMu^{P3_(GWf;o66&IXu4Q4V>g*2|Y!aNU}kn%Fov zNWx|_+Zfdrf}c}RfQ@)%Y8p)A^A80{ytGA&UX-?f;Lt%JfXc(;+dDoE4hq8P?COdG z1_`$Xf{@HFW=_sqeIh562wIRH?CtGYSXo>0lu{4~PEJmM0|G=dJbb7}5kqM2UA8BX zoD1=%((Kvc&NKxKfRu#=8&Zn~W`RJUqN0|0pC5Z<7?5TDJ3n7+4Z=P0FM{r*Mw=tW z2tOd2ifKZ`P|~%oZjF}G0Gk24h=j|er=vpwPKiK3jfgCj^}acMcAcp->stV;Ws+Vq zbMr7dsbD1WCMG5pblsu6g4G!8bvS9{O$z?zUvdriw8=7&@zd6ZmdL3m3G;y4=m+-K zZ{O&}#AvW?QHlehLo`FU19C%t#{$Dv9goq4>w~g!v9T&#(*UqR4(=WvY-(z18@Z}I9fO1F6d(+(n6-JV%_qRPEKECRgoehv30XRlHn|!aY zEP9Bba`6l}tv?)4&}#I01e_ill2voF_poSt#?x$^Ev1d0C_>X6b}xX#BWXR zH<6buc7364=^iHM3KiaS&)tTTDi{9*ImXriEWf=nOp6p*(bFYD#ZA? zE#|hDS#}9z;mwv#HZMdu-EB5VV*n`GeAaSu*pQ|9c07TB1X;rasva%WD1A2FC}&iz zHFgDPUG-rRiWzB;06F#R3yyt*LzAN+Z)(HRHdIn>0p_69Fj_G)GviJ|J?wVAUAqqi z$8yUyi!uK9-l&1^jnWijo@V_955BLnEiDpbn#a%k^UV6vwNKK7U6sdf;ow+Q=`zSh z6Upp<%FA1T7)SVRZCTN&RMgbS0I6{5R9J^(s6FWJ>1jEgKau#!^JGVR@H1w?gO7^V z85XN+kh+baq(#a^pq32{ywuUj0aXmN#}N-|`T_h9GWDY6g@u8&+eVN??@~}maV9cw zap6O(lNX&96&A)OBm}`JK@EZ0h62gzfa(lWdxV>=#p~BTD&!nCxa=gqt<>GqL(#nn z)2Ht2<8xUlnFd2U>JAhh+EP^af-xU2UP&o1`>=<2MTPtwR*f@D*ZvL51 zPf98$1dj|=OiYYU4ur7Vx2S~Bjg5^Dp+Z5!x+M*j>SGa+>JIFpvPOJm5SbCkZj#ct5j-iH?~W z3lZ4JpwuI){%FHuvZh%1^fTuDGwufuT7z#=?DhFx5uTsylAjqZ9$i%b&6HW%$ z+unp_sUc_++z%gG4%CIpQK1oK%M^@wurP}im6WstN)MmqvOE$LY@VK`(%08to2=!E zjEo!-G9nKTK6^Wq+l6lB=Mfd<;8wPAl5Z(mh@v-b*sjDnnu8Ppzxg_6=uP@fS)qIe0_w^9UbN&E@n zqnONl1IgWh<81OVL*-cUQQ^u2v;`c;Ko&Dk>&S|{8*W-sIog)l-wZ~*$Su;{-$C8W z<9Tdlm|g$r6Jx5VH+e@4jjX;twco@_!85T-BB)O;)j2s-yP$>~vY2l4{@$-#G+LrZ zH~?j?6gvsf>(5GlH4e-2?Alex97#@-SI8ihoP*yPzp%2xWMyVz!kgR(5V3}53A{=% zp)|P(?@NfeCrmM3}#861KriKPmakISo{Q0wmqu(3tO4({O zGe?&^Zw(NF2>kOie6PqLlMW=;faDJKHj#cvU|_*Ejj+p?vP%FEUM)xGrC)apd+$KR zN8aVhe!A?dVN?$BP4?AkodEbzh;c`>xzhPu3tDw=ee#GnJ^dweC^&#E0S_!W+589M zRMI2IJZ^&5P)@X3)I!?7v+^Cdn^vW1RC{t9tOgr_d}ARI=Fmg_9K_!-%@P7D?5XML zAaR)T#!wHFTc$cVIwA$9EcXsb{@`D)p+HDN!W7wE=eAG3()}^V-l-Src5dG*uX$%T zx342%W9fmT`kqQ-`oJqt0aLSW=(9S_HEF*eC>r!4B2*tge*EgX zOZ}f^4qwCaX2@xjVm`Xq_3Z5I$THBQ%@=yUmsEBLhaj@_08z6Qs1mG9 zb<{bo4&{A7t}U4MrC&;m+3LXn{eY+3gkbaaS_i00rjT8;cc zMb!FgH?Pj|u)oqDnI58}qmlCYehU^2Ef?3bMYbwnQsko^r{Hd~kIV{}tR=d2{zxfA z_^NI-y$y*APa;T=xP^g%0eU3i$UoI&ZbMXl+ZjBBoSdAvq$DcbO1g(1eVkmG{d=I zV;wyM0|Y7j){<&!1joCxF#upt@RI048{G$ z4j?!vum*z^qJRFxKtVzIud*!tPrhYpP7XtMPR@Q8R}(GBGe{;ZA%OzgxS^#buB)pn zQs>Re%ChKjmOgwV9sYrLCk__4v@u-X-TVKu-u2(A^Z)l@FU0m4n!j4yt5-q5=jjt= K=@Q9T{{IU?Hzij9 literal 47329 zcmd?QbyQVvyEeM$5D+N=Y3WW02`OnoQo6fSx+Ek7M7kSk0SRfOq(P(`q@=syd#1nl z+wb1{8)xh@&Kc*g;}{5QuDPD|#2wdtUH1%AdL@O4PK*wN!7yc{C6r+>czW8akQ66bxM)Z0ucZER87KOr4x9?d`Z&`B>SRDJ)!E9GnH% z*lhpf23C6~b2gsJni4PwnuD~aGYt075c+}pEK+C*gVn#1kq}jNPurRI@HSCP7P%Y# zCbz4mDd1K3d9j%GS9NhN=IeE9sX z)lrGCT~tf`k%Xss7XFUQnD*JwM10;^!}fl(_IUwgQQj*WH5s)vk5)a*t)bpQ8OEaP zU;M+zBxWfEXkw_8K{4o5r6-8s4{R~BTv#wRxP~7Jj|aV_N`kHgy`k(#{{nhnx-0vC zy5Xa`C;YgDw_w9h6$;51YPi!=;h+vjLS&v-wZ9l+V0ztAW1=D}q4z=5Q?PsU^eDj&no-3h3u*X$wqU3kDL8b7&%`B8@?)KC zZ!kIvS1!iF*u{K#CwQ+%r+=duKd5L@3ge~>DiuUmvWm1zVjujus9KWGXl}z9(CkOt zl_B!Mz=bpUxMh)yP|Ud*r9!BYG|^5!B4&|iW3_~X@M%ztmIRz^yj%fK)5RaY3=!^- zyHWZABXmLpZ#%Sis~l<7m1rAwdI&PiehsfV%M1;eLq>ZM_4s|!86-m|S=zS~Mszkr zotqz@it+}*GZ8j%&$pRSe^^#=Bq5JlY8yp6`5=*g-bfAiuN#~*g?qbwc%nEF}@fqKXrQrIgn9cojwvbmCFqfs##aA7h1lWTU z71O@E$UAm_eRk#0n_R}{+(AsTgZVT?DeDjNT-AFY6e*5)q1yI{2SXO^-DlWZ#6GB| z@JI^0*kQwnB&#YikqWdN0`Z-1_yVK@?Y#;qH(#1N!w%!n$GF=G-%YX@dUJ-Ue8fA! zSu~Lh$o{qvaasmvvu)RTHmJa_%?sQGw)WHcc~-Fiu*b@5RI>Y9n4X{@*3;n%n6bYU z!KkV|l8R{N13OKB3RG;Ocl4Ym(UR?LUp#C{2@w#x+YpfhOl7k**Q47g&@p-xUuJz4 z5VS)xFReg?;Wf%Hz;r&y0wB*$4HbO#U?4V@7PZI6ZExo)C+Zu?TdvKbqZx4E>Tdjx5 z;t>rDOxpXExxpydk=1y?e-+xlwJ>EF8t@(JB?j&io)n--@?>oxyUhD1py5~roR(=` zT&w(KHw$~L9TvlQ-cxuM*f8G55^>;>kkC%S+EL4=Nr*%bLI`RRA08DB6kS%7{Gk9E z6D|&i4n-D}*xqMbyZ(6Sd7`Z^u#3LJg#G7n@08)2o15!TC$#^rxVTshugmm$ z?(KpH9k&94F~;J}I@w9UTv#&gH3twID?hUXuKJmn(ORB~WsKeaK>Nwq{Zb24v! z(+xdDh1o1L5$$^|UOV)VzKy$eR($npW!gLw38v#ZuEw{K=Dbeo)z4D56#Q84g}68Z zP8gyfnd0;Yl)p~Y`=O=LcwVk0W*0N+us*)~Q*nn*es>V+xYQPqQ=UzazSny1D|pz6 z>wY?}@hD6J8w1&K#iD&`_WS<%V<9%+QSp{Fb8qQiXyy$2-5p~G zb>$zCi1?E5&b#0mRT7$Lc0XS@#M1HH%D1qwk>DfgR#6lRMj>;DiHnQZU#_P*F8Z9W znTV0|J0Zd-`Z=|cts29Fn(Mra<=*NLJMrIvVvK_P)nYHg+dl&T1Y+ z4eoufd%LfJsMXtXb)W&#{c z|L!R9EZtQNCH%48rUR__O*Hv?szTKM(dtz5lx!+^6 z*h0GR-t*jHzxmwA#RaeN?S6Oa!bySTKneuoifga2%CbshdV6~%ebUl{5Z`$D*YdVr z4nFXmGfmW8Z_>5lCkAWyqXE_cJc06TS(Y`il^K#97CpYPt-DSGcq#IP0EwAGlBaSpKG^`U0^1L?bcH@+pv-8Y0Wtk z2(dO>HG=3GuV)WL3>|Z$aI{~4&C^;W=`_RwUN-{q`5A#pd^F-6Xo|!y~^4iP}J^1l78U_Q# zdoWSgGVYN{A6~zfpbdjnzQM@6=%h;{KD9ZYbAEWXGmQYN2Zl8I^QUqj8-V=M_@8U9 zUn#6*QGb%T*)bRCz*Q6scq$b|@ll!r58V(7U)3VlTsl6d#z434?{(6;CL6@pEfi!K(0fV>5X%L-Fp83f*>7`$<)v9rESl79}l{N2v!M< zYG=9{#qVyzFDli(g-E;3PLi9rOZ=fwP$;=CA#7x7>iw|Ko-@tfb| zYI${akLwmZnO>#waqK6NK6hIxZ`>2p)z#J9sIp%aZaQz?M}p0HZkJs&wq7@S^xWN@ zxAyGTEk+$49(wd#cnjaGirhV2IIFE&^YLSh|6V9^YbkiOnR~34+t~PI@p9eX;z|?|rURw9)xti_)rK9&8@s`0 z^U#}BM^;oXD*F?uKK^KG?>SuUNw0fQvq1v}|It?rMu!aZ`g|V+<_!kyNo>7YOFQ3g z$WYk_mZQP8b-dLO;NWgI&s!w_w-}V-BMCKB_30ZgmW(#u{T$L$^^L#&r^=7lgXig8 zzHHW1FFej07eD9&rN) z4hD{B*PB_A@^pG!`rr7Sh)IaFN*W9hW#!IniInf6eu|C`BN6h%6A}^v@z7&Y1Q@#% znFk`+SK4Q`GhcrX)5-9BY^i2^pA&QJr<}g&SW0^GhII(||F2H;zA;6S579n5#?tx9 zAQN>$;6lgua_w_PMbE(jI}}K~@2?j_bLgQf4}A|1ptKip=k4~u03U3=e~L?Dq^UYaIKSS1$G!FRom6vH33BYf;my@#tDZ8CV*Xxg?B!O2XtXwFR!^ndh_Pnc_*rxD6=s>p-C^|5 zY@)vJWuS3I(~<1PE&>WxoV6@46jaTe;)hCApN!tM2Xh5iHx8_qoct~3O+R13^0Tws zJsMkE{n{&Yb90Agk83*V{u)=w70k3Jigaie3M!3DQ&5r_nuQ|m^tuFuwDXIuU~4JX z<)X&MPhm?LUVH5zkEJ%P`d;?yuRsn3Gg$5Z;11AQqm45)7*pD@xFwtp8+9oYEb9<> zF=0db>O1lqit=yk#7(DV_L6dP54yX%p`dCoS*{B*CRsEJ^u3faYWMlLVyL}FNwil| zx$kLI5xqGl>X0c*s}?A0^8Q?BO=Y;Rpn*i2DauTc`c~fAnd@$M@y@n)_WAgnlRHmw zNbO7>yC;dY6hB#i#sa(B?rw)PADk{PWjKcI2Vos&$H%p9yaYZ%R<8O2B`xE(@fvzz zlTGV9_2&y-hqH@!1az;`UI>y&u@iP$7N&>vvo>NtK5=u`XVoGO%*4{uv!i~avO}7I z_=b!qR>Qx5h>#?DHKPY>b-kpPnNgaOsl*H(4+fba2;7F=7ain!TSd^}Act5QO)d!M z;bES_)s0~-&_u-0z^QN`HJ+Ur%4vwJ*`NRFRG0c#EG&}%oc_R;2Tt!aG3t6zhZKIogLM*1-+@N02y^|T^Qw_0gIUnGRPUTHTzsmw145a^x2{yX|F z!~hPLx?pur;yek9h)^)6|2I_G|H!5Nk2gSM8(@U?)VHc$~^Q@f`^nQGXJs{U?lA<5vWKy4*gWfJ*$uj zZEj&!oZz8Rs=WuC;Ex=lf-qgL>lkJ3Unp}9y;O+ZOR&k^FmByl?7ZT#%q%i?x*|LJcIu9oQU2>oWqgW%Da%QFwa~~P=ND)U&x(Q zeIzeGCLx#)t?sm}9Y2M#$SlM%=Ph-hMpUNQzI2dNvN{nX7i|!8N*iJMxB3U?f^LMs zKzySSWpJ`AAu@(6@jcj=9AEl83)O~KfC9v>q6X*hc&w&9GQA_EHU21!LApdhAoaHX zvY5q%i&8T8rz`vjIyz+@B5+nCISmBYSQ@!!jV|-$SkApvCNgcR^6g;fr+$vV5Ygv} z0^27ogBqFL$nq5sj%wveKV7dpN^HM&0f)^qQrZ%z1l-|2e_q|F&xR2EWegaRXimvorw-_hV-ZwdT09%;#(pQqy= zYTf@P_W%1V?*C|c{~z9v7oYK>h!hlJBDY(Lm0ss|k&%&Y>=>X*B&Yx|<*?*h$m4z}{duMB>@)8@=S*>cDeGEJS>^zf zz{I2b&m3`Os{U&+ABa2qeDU&Cn(x&X%)cRX`bpA2a+RHaZc*{ z-Et0uLorJ3^(kCmws>e-UA2ZHMn~Jl1>edcpO&`v^7*xfkteh`%^;AIqe%GSVKJse zEG#Ub_-LzZy|opDDv^u~WZ3(h_Yc^buF0 z5OSYvTnIkho_tDzwfa$ttUdkhLYM?qK!x`jlZCZ)$GC=mbKWqMj2iiD8F3E%@0(0j zI*>q7gc2g2%6>0yIA8T$+VXed?51%m=LnU@dF ze|NTS71XCFd(G#1kx@}b=X>++W2p;YKMz|H(o%iw%n?pt7I}?_jqdR%j5>R}TUIfY z8Am9pCYPA3KP04&sTAO^B$o(~40Bk{yfjbYWGS#6763k3Y+9OvvNy=5Pc(Bc#9p=e6$l|Ib)X1}T=Dv+huX{jj2L}ho z{uBziH@5$H{ccr1t9HUAAkZlD+`(n=y}xgLh~0(2R)&xl45p#y zK?ADK1lJ76rj|8M)dXP<$Ai49TZNh33(a1YfWWu`7?R(v<>E63VSlc-bm zk5=>p2N*sx|2MJAQwPP~HIx6Aj7PTCgW^b_o4ywn@$&T~t#iYV}Dsk=H zhm$&U!DaIwn1qDHtk7)_!LEe@JhyBxU)YC067Z4 zG_V7bw@RoCln`3MA7)ob<0ER12<>)QF)@)WHU+751whuU>gnjO#ZPfmVt|W2yN0sz z=ZEN&G%r8QfKLtDMLi>a)y57N09VHJi^SIY?bBKp9wj?3U$Cz+aUMV>SVt73w zvc#ac9R9&kb)z+~Ve__><(0n(GGn?RxS{;fj8_U55n1#Hw-hcCnCQ;TY$%H^Ccej5 zVeLf_Gv*rD3PxofUa4H@CF$RhRm%oPKeGr^=8J-z&ZAPZcK&LmcS)HS3kd*4(&IBE zWm+1(s72h+J~ApVtXsTX;h##$9F%!E z(}SZSv@8A;@F7t(3U}e!{FT#8BL4?+DKq-__!(`4&%TC^j4bv1Ht}BA#hsPqm9EzC z-4Uh_i$i{GvT1XsLXIcK2LX*DhWMWpA7)l?tNu>S>ZO~tcdJy$@0wb5^Pb^J-!VeK02GGCqHRk04@svh|Kf&wUvQuy(B_*P9b0a}DFBX};z;XrBVSE8$KuH$;{Jxt|oKH}t@9b0N4PxP|^zYv`G9vtL zC;hq_T(@QUF~$1IC+uxX0(5;-mANm3IH@aKS8Mz2?OUwm6a*9gg}T!+CnaQo)(G5v zYa?FuYb+9dc+L`3pu6oaV8WaeaBYiJ(Q$Ec4I-Bz=m9eQ0rY*T&ukgTRZ$sA#+{5y zOso6tchMh%@R)%3Z;$4wZ1@7IKkWu$i>_$Z_}I0qn+}m11dzx0lM2uPDF#SsIQ^@i ziAPaBfImm5oAp$Nm~TKMVkwNt^5Bd0gunFsb`CySlo1sRy7SgqZ>)=7^Y5RG8${QR2XMcB&fF2*I8ZkJ^}G)9aCFJ8M60!?(B z17GFyO+pO1QY@^?H-|vdag>~?|0MjAs>)I9B6L?SBo@MK}@Ay_~BB1+*AgSSy>O zxsrZ60SG8**4WCJpDQGGv!In~fR#RAt%o5XAV4H3Hdg59)Q@w-+n;i5hWiW6;B=dg zhnTulQ8fv`q)6Q^St#?W;!GkoZ0)_Cz)H|&A+>})T=~Eli(EJ|8ra|v!Lat?)r7Kq zaEz(A4-G11zh#Z924gRJAIRW=kg(wnp!)%k=$0W+cXw5BPYmcgvmrh;wZo%+w$X8nxFpuVDD`VP6yHFSvo?c$g#BZj}58VaH zp!>Tz@B9F91c_uoQb;f&?iZWH4C*+H&p=+LmVqZGzDY`p9M&e2XVk9|igM8#yD46- zw6QBMm2LW{;+RGfmQ_vj<);e6j8SVMjkT-3hDInv?`h~bBFT@r+)cI1GR6lQ5)QQ@ zw1El(dat555Rg#}ox&BC4uZ&a%v5*|pokyxPyo^E`(sLzcqUDMcv!X)Dr7m(yyo0j zKWy&pA^WFg<$e1`q@nM_1DNDH1PFuzHAj{|n4jt+Dx_2x13U?Y1L4;b!;+|!E_%2O ziQ{LuDpg~V)#*NG(|p%E)o`$ea$`?V;)e3v@^UO7x{zc#>FM9BJWhY<1OlO5SK6e+ zxOmV&1v8xNv)6deeNl9@v{~C%RW{p#m%l%`1KFbQ&I6UQb3JYHclv!(frM=Caf93!xt zqbML>kOJtK<_Jv|8Y#|-80N2k`$xkaxG5znJW&3kV)at7#R$YUcs@F5nm!lIM^no1 zy|NU%JsC5IY~MIu*1ucRhpH#;{i*X-AQ|jb_BeogG#8u^2(Wk8`)`MSYZixvq5YLG zU`syxUgSeU=X0?-iP*}i7-JIq(ufr#BEbtErDck(Hz~x#63VHy1))d;V-mlGgj5Zs zgNDgwthb9kymu>XckqDnG#9xhszp0|X7eCx1v>u0?@x+i*ofX+ za{7U@yLv}FXp}XU{3%7F;9QvXWZ?0hFaD0?8lt~4uCtp*hso(}5t5R2iGYF~;Y+RC zri+Q#5AV;(#6>UH8Lh|FV_C>v<7HbCtJYjJ_$rK*hDpn%_L07w3y`J`+}pGB-Z3WE z{#oNLt=!A>RVMjgth?+bUk1RD7JLEz8X*(|wgm(SvV@p)?A(ufLfoth)U8gQf8z_J zC@uC<1mS0B=oQ2m0O5k|%6RwpR6e&|9|=ymrLZTt`R81u$(4*k3*R?s9|ek3bhY2JT1coSn?j zxDa}D)ZiviM~ zk(!n+@w`4s`OVIG6*XKRB!L5&Q3TH5R2*o(ErCqs^+xT{)79n=@AmI+TLHrzNU;QD zdHSp4l!CBUK($LT6NtZk%WKzqd)6iI_nPtay#uF+F7KuzQ>%GX zP~!k4Ue%dH?kIf}xkwbmd9bzKaLSJ%8e{y`gV&SI32r_7&Z;x{)2$b;7tU8Y!*HFu zO~~;G!z4z=#t>i@R#sxp&c{YAI%4XOaI{|8{nHM7d2DyvPiHA~n$$p-p3 z&{p1olHnR}czQ?CYb!r-1?Y%csjhL9e@~^rz#!I5}zsNa!vc$L3geQdI0(P*;&QdbvL;R}a&KBnCvQRVVP7@!K zm&WOsp%p2gpVmDUeM1AC&iZX2r@<;(Jj)n&Vs0h_zc-m zg6n4H{+~$37#o>>cU7vtu*GDVh&4)=I=Ly)xtP$CU6D6K!X#wHxyws81rv?ja-UsW zyZkpo)q_6Isk9s^?k7|;%NCNLOdW>Ps+BZE4bJZwM2Z?<01TYM+`?g;4=}e8b(;U; z(~Vo=TQan#%ZLD)GjWTHt!tSc%6O=QQYNDA=QtN!1qLnqW(XRbv&O@dfj-$brbHjs zH5^E@z>Vd-x8|0?iIKK^PgBf``ZR9_A3y7_(rnQDy?!IZYyIY0c>sjUlF_s#)Qb4W zhU5l`Y-~Bdnq|d&AA^p|usHNVc1q55)x*sKv;a80x}X?8OMVlkX=9qDPeAlZG5c-% ztH2Uj;v?l!$pS^>uPn9NAZ1nmD!==?CZfIL+vjYJ4Zr+jU3u zM$q?I^@I9*q6Tr~EhqSntgV9MPWlLpSPCOuIoP)L<4lSApCuBIaMI6h^(p@wsQ4I4 zUe7AGyv*W!GXF@KC46BenJtN4oCBMZr@e*fVN_4{7Bcng7v|M|Lxc56P4D+=M{?A) z-A#BoKnWcfiy8nIf<~W$6)mTwj9cwA*httv`q?)B9lNrZx^}YTYq&m$rOmlZj~Ooq ze8;|sH}+^y3T`L)o(6~Dqn<^b#=&oz_@5rX-eZgd%m+lK4`Hg0mp-vEcQ%mWosuoi zNWSHvRn}U!PJ1FqP=XW4E>^4yhMlRgKECskl0xC(r7|Jt;C5Ub>tRo4=!r*c?_C?g zKp1mGIv4W6$ZVc&AbJeO-?8d9ve~ukOeja*V?oc@ja*B5%MpG{?4hcR{nD!6YW6d| z4F0f2%Mtz!)FJ>7qdL^zU}101)@6!TWYzriHO7Y?7_2I(hVgr8Ye_>u_93CCRL;~C z86zXx%2L=tm1;I>q$3h~(=1W^8=;PCo}=Qg6p=AjYO%uft=IGW2cRWt$y)!K7&zWH zWu4fV;Dle>djKR!~sQ$ZD75nM&$L5*XVJG$Msac}`RFt~ZasdWt zXi7Ha?KeKrByK2XArkc%EHRSEWl zbKgm;9LG$|N>@f*sl542YhxDzhWYi>lxh_vEI~C2zDZw(DmXalJV4Lo{1eg`ezO$?>z8JQa)`+YFq|{w1@%xG&Mkl^u9@-P5d=w3y~Eexa{&T3|?5r za|`Cas=6#Y*{6;MNn|xB*UbiPf#1A zo-2Ei&YXvX5T^l}ktfvfvf`*wkiNjj?ucC8*=CCb{o>3>!^x_T)lL1+jRF7j)S1a=^0=f5!k-)XtGk|Z z%J+;*>ZcNCJmTzUe9$e2leIHdnTwZ5nP(QCiz&G8!8SdK86>C*94N;1;_0Dc9OLdh_5IB2!x}(Dm|CO3LxiFNPmgk?ZSb+&ny@*s`_N5{%eF zz3YrpPcDqqC3m*1asqmLxm5@K(MlB4n9)$L)+FCP)3w2FKNixo30A7f8H<*oEU~`L z!+;AfF0O|VU?;BP63CFD<=g!G=a=4)l=Qx&qJblUB77;`bIGws8PArEr6U?f*=XM{-DZ>)gqXWraZozPyD%67?DtnL0lgNF zyw3N63oM;u4Ob8O$UJ`k#T*a}9G#rh=wpb%|7sJKq?VIryA)v=Gck?hZ3sQf$xI^pYestSs+PB&?_| z3RH|7*k(bzx%v02Ry+6{7iUi{3KzyrK{Axe`P z`d)(JB9%giS=&0%*LbkDTHD!!?1w(6_U;`|mYlvhbr&cz2%i2@ffTh+&}{})U(hVc z+?N6Z2j`^Ma>66NIUR9vmY}8By}&`*z(|?CBx)j+j+nmVbEm=x;3!4&U?#UVL zGHt|HPrXGrdc$N#W&+S?tD)`t{b5q6!|#t=Bd@l!CQtgfOFd%(i9Lwvb&vjG`iu$>#Xo9%Wm`&->d5 zYu;I1J5v5wqPukM(|~%kSrU!Rvzl6W&VH^Ri;EVO{7lu)dxft zw@Jug?DF6#3Cf7?Y1G3&Q)uy6BtK}gk6xW*!&nYjBhfLv3kv^|@&@z*OLc`*uUK-S-XYT@+5+P( zq#pU6pZp&D)4V1DfOUm~HwLW-Yt5AQAYu0`ej_FKxSp!lcjPShl&JlO9K`(LEUoTtz zxWg^PD%HtN9)(z{?E?0zjyZ>N=_PmeZ-wv7Cp@gQ?VsMRnKSg}3hv%Bq3xf8-po8| ze){zEbUx1$dLX1KpY+V&3)`ppx)sF*2??+7}_EaRrNpkbufJqhZ}{zDo2< zVj~+)eXhIXs2$v(D}&)mpv$8pUgknvLmOdkfh|u?Y=+4(jYe(4)rsCUx!Tfr zfTj2SFVT&Yh3=RhEq)HT1T^KUL}mF7M1&E-s#?jXj!0o&kvkAgIIJlUsJpZN(8gL~ zeymsimY?qoCU^le*oumJH!M9QtR<%0MZ|^Yz+kn(0-~AKyN+%+PmvY>q=5`aL zS~NuXi}r`U{tBtjvMVYc0%n#J3K+SCg(x8(wZ}OG1j4WPTgjp85V-^L(eu4}1VB`S z^8WaaGDw5}6VvreDo_}{YcCJ#{nMACNkf$KKG&WaUIyD?aESFiyz{Henqv{w`5=0B zo$Bg-268OVGMxt<1LPxw1!}Y;Cj=U3YC~pLro%#g-sGj}tXwKxHbcx3raqaUmx+pe zN|?kLK;Q*54WzM`g$J8(hBfZDJb^eLY8lWeOA7wyCYGf72s02`=IqY0Bo;mlQ)G7c z=_bS?6MPe16swk%rm!0IP_i`P5We5bR`kn}EO_-LyBW*=+vf+cFV>3WIF^_NhWG=Z zr>A^+daa2Z76=L*GEnFsgF@#^GTl?_i17A}kJu+0&qRJ<7`JCIw8{G_Wj7H~`0Yu# z4fXBJMLVsLokqWWq)-f^NIDCd&@tj}tmK6tPL9mD2g&2qhvK2yILgU@q{hI+9K7Vc z#?LA)27L)Xt{pFl`5#rOuGtWq&z!Sd^DXfsn0-JP87J;+AP_%n+s?OX14*$`s_JyGZ_qRsFJ3zTGk7 z$)S;xNZ&`Vxb(Rv2YpJ_EtFOCZHP{>UWq>u%V%(`djEW#u}g-iou-5D$~qx2vGnHV zL*PL(Y@}^}Axg!doYaXwece$4Fs^Uxy?)jvpMPL^yRcWkAQI*vT~Rgri=c}EseG1;v$+L&Ya-h6|> z(MJ)qd6(G0<$nd5ZV}>iSn8)_X9u8>Rpy2FT6oHYfxW9g{HgHyxDhh95W)9d#j<|5EF+BO-4wa*})q zrRC%aios70o}yv&ehs-rk#cr&f>C6sa*)bB%_u@nNf(?EA(rGz8PaU;y(NP!Tg(t; zs<!(-?QGAwO+8Q-LM_G~ri_vTJ8-idw<#fvCCn0-}!bGUD8t1-!$6K?0+6gQy&G!((?6ov@l34oErELU0zqYVX) z(e?3=epJC;Sl^1skgVs0J>ip2@x9xP;SW4Z zC(*zx84A#Jq|6$PDM6hqRZR}VKIk)mep2w}S0&}s%1CR8MTjz=tpvRlXp5t_lxMTR&s2P!3 zcC<|mO!R`6%}={F9^+LTvA22nc%{vw1amO)eL=tnoe}1NxQ!2GITV(B7rBtf-ne5G zz}>W%W5BSF8kd~qun9TgV(_JtX*q8-OUtTa7UQdNJ`V51zfa@bZNe4ZtLH4r>tJEx zArDc_8pqEBZ3tGwhs%~F$uscUG!2F;7Y8n*ldNW4{^tv3(bd;k(BqUcL6-2Iv=!LYEyn+}y+L0`+ns#9k`r@0XF{;Yn-19Tya$_)HYhlLk(toEg& z*jutG=_H>yeGURkWC2SoSF80GW1`PHv(b4HNdE>c-@}=ov+NIVIm_LzDI;|Z)~Olz z>^A!(3fN;CTgN-Q)?)ohP(Gz7sUd(qXI(ji1&z~Kilx}<8OL3kCl0-uyUsInZygtQ zs(S`YSrM}Ut;&EIZkAQ;u_qX=8J475Q1%3RFf^l3-s@ZG$#Oz`+(U6`nrwVLW#@(& zu{X27rS9Jh$o?=^z4KuIg*4}UH$QMuWGMiH4YIK z6IX3pkDrirJ^f2{5H0#$P~@QD7r<@A@OKl62@~79)A?&!Wdw4R(kHdLkX8!%y#N=ba-wrkOlK~My zs$Ae1c!etce37QY#~rwio5&RCFQhWYyaKv-dKp~~GUicCDW`pu`qs{cjFI#`k_&kD zz+YMXT9_vVX~copmAP?1$;0;p`st zl%X6(LsD7nZdTW=Xs$Kz0REjE&N{a~69ErRsy>6p5a?B6ArrHDKfhG+Prp~1FKLA3 z_|S9Vj1_I7WTEn3EW=L%%X7M?O)F9?44gPI)wt3^YO1IyHWMG~o(WuE7g{0XNrqCe zgO+6%X>!WWN&#MPv|jpJnTegl@ZzWO6Iq|H(hd)QeV^C1on8$Wa*qz>w{Ld6a|8`g z0BmQx5+8M8M}9x>XEMh^;QN>*VF7>PPW(pJ^XqH6F!*lTPlT!RMn(c_O)O}UDY1{l zV4y)*b1htmdx)&!0rJaSOZpVUvPMqp>!-g{HFdFZKW#jQF@Fv?H=IAtE?RNslSS_jDKdXC}yP2;G#9Ye5|a( zDQ2c^$^f1JjOk(%NI8TBuEw_MuE({hCYVt@lyYK2&!Xq4ORA^$xqJWEpuHH!7|=*F zPVz4%+61o*2DW;r+R))SBUpwmpH1Js0XqiBp-o zqs=D4Q~u=S#IHj|9B5as>+H-A4zApf8#%wNw=KLl*N=Ps#Q5+V4IypTlOLC@!z^py zr56no-)PyUB(K?B8{)~ppTI??!D%c`xIFxlS-EumA$~aCYXeaQ-t=|r0!y(}*Dn<8 z)qNjHJEwM*`t;U*XdHf$w;tN+t#)=_k-@anMC>n3_}l=;a_py8hb7_CPqiXryCs51 z0+`>6?qRH@aumJphi<2TfAjjf8NB``92ECtzY@PD5FW%Jv({o1|2U(0_G40gefg5J zRdJQ$@{9p*U+Xl5(IXV@>ihX1HJZ5QBFY&gTh7??&~ycv;X1{9w8 z^h@fx&-2@22hFufVf#;}kFAq1qnb=`SG{5%a`Ead^)$I}-ziP@uI4qQN>O@r z)R-1dj!TPZUJ_!;=!nyLg;pP8$upGN+?D$zi5Ko|c3HzTy6r5p6qkV5kDrjs z45i6F3gFkqeV`WZz|*_pvup?76I#eYq|LXP6v@CREcjv2db=#DN|T?lx>CMIj=Lzw z=K~uZUvEor3e2SgUA3z29n{}tC^lve|4hc@J)Kj@JELR|ysIlC8T{F2+yeL_{;mt7 z1I(rO<|ri7X!R4^7q|`x|7uZWnfmpC&apn}$jK`0C1V%k>@tXa%3f7Wk`iXkGrXAF z_f*xj1_as+RRu#GLVHDzk-v4%tbztd1DgdpN~Xd%%B6V2BnKQ#^VXKSd%Fr%0QNc9 z3BslRfUHUZq7+;Aq51TPNG% zC-hQQK68`^XlD;F(GsV2w#Xi4az-K*u85S@5!D(?S6)l|W>y@7r|`DimJUAknB>5Q z*a0UX!Zs(7H_Px6A!X<2$lEM25my=Qh?n`ZE@&bweyM0*zl8SPUyXsvlu_NR`d$)e zDu+=LB}V80b+YOXWB z45&w1zM*MKu`?N*bqPf6U@t2ph2<{0xAPB28c)<{-sw_yJ5{8oqoygkQ8_gIp!MuR zT3D}qi0D&t7dQJMq;Jvp0C!VJW{NHaVvleQa%o46y#oPJ^1=>d06H5Ql8zEyNAED`_QnuTmRd-WMCHGvG*=kejA(9Lm1%s0W6Cf zGPGEen)~R&b!6^oa;f~zn(T>a7IuQVP3;=ch>LH}srV|$2X}zCoN{x$fps5D(Ua4r zd_z0zOV6bs)h`cq0-IvH|3%eX#zpykVZTF4N{5t!G=ek?jes<$bV_%3N~3i5kRnJ+ zNP~1UfJiq(NC`-noXzk5JfCyU8=2va+;h*p_uALGuJ7vFCIG%A=>$naRDh)^Pf1of z;Y*_j+w$*%9Xm@5G#9;^mWK0K>87nEaKM3PWvzNdIJHRAzssB?9t$N&zg#5jh@bq* z{{F8Ezw(&b9o+aGv zL2tCCXd3J%DMU^_CIrtc)mx7iZ2tm}&`ZzUjt*_A|GEL?w#NwjG&`ppoT^4E>JP^) z%fU0v>jmzRz$D{#lC-2XdXJpBEj!C!mOlQo7LJzWMLVa`8He9GV1FuFs|246&uLm) zAL%|~u|Q^Md2V}NudpJ=TU_fXR%(&wNFS+8?GFEe8Eq`(i}63d$Mz^sMuslq8Nb>e z-j>p0(qGp$l3bC{w=J0!l}Dk8X7XsvzZT3U=Y@#1A%Pv`&X93e*dY$dva_pLCFq0y zTPLB~&3!HMg|w zNIX&AwzD+zbewW4Ba5DTJAIwB)J6gcC<(NNmxjyh=_wasYVdH9D2~l(dasR>&wTOj zA5C5QI(nD@PFW~FWJ{Y)+<(V+gG2a_5|8gke8eHh#5Dz8IaV{@(bqDI-F|H)qLvT0 zDyWhP+RyU)QmGONg3kJw=|_Ck&BJ^`RcjCdlmcq1?4#nQE#tVd?M0WGetRI&e_0R) zt;?$3#Acj%e6P{V3I35^t9I%uZ8d;+1B85Sdb!`QvezagoWF7WU-YrRw;7 z=hmB*(*$ZcRvznYHnTBFtmuQEzQjg1-DjxWy}e#CeJ^vrCv=_9z% z-V1%d7DDTS0&M=#$r&5Upt8Tn~!&z9f)evPgU;hU#U+m)p0um42!d;bpS zdkiT;_)RHKI-3{CD(eSX>*~oQ8fBlEW-=BbnnZ0l7N>`%*e|;5EA(9l>Ss^fy)@yZ zWxr+&HOkOnnv>ONVTnt&%A@6Z5BAH;5lgWUE8Yt-pnwqq|6BjRyPIRg(|hv&KnU)8 z(4I=}V)=zLTKN3JiR)i;j=&as4HBB*)I3o}H7CHTm2+s` zPN@N96CZLun5xt5u;ruH`=+beYsXg|3|uoG7C+n^e0u#Eq}d)2Fzo=Qf&d1}{)beV zK--QoBoG)T{saCDCNXJw^?i@o)-dI&@;G38ueq(gS7d4S4`^nV6J`P^2-dQ*A>bk^ zxG?)A)Zs8qPNc~peK`2_B=Q%-$=y(+nJq)eN6|m6?4$aKv4x+}+OK4ECxDVDHG#9I zls)oPhKG|{^?Akb>5I4%=qSz1RNsa4@)T*$aX!YW(v(WOgc?4%TX)Yf?VeHrSo0ML z-;%|joY$3L4>-xM7dU+D^~hnja{qg-U znKWej37-egHxm`KoLDxwBEIbv3m)U_Q(H%0x9@1x+p1v=-p%vDN4}R1gv#!kw%*H3 zZ-TfkTe*LN9M89AMR>b`4)mF(;UGHRib7AghwY+uw!4bh@U82&K59xhRd{+8SIpgE zI_8J{{v~!rj4OS)Lib{&g>BOOooSm{6L5vRHf-Pup;Zr87@4p%?g-LJbYCQifeiFv zs+=^q+(i8jYX~^U9|#(djuwF5fUVLmd=xvS{a=Ez|7ig1@7tlgbgh`))_L}=Xo|f< zp5jxuz_J)g~h^iv% zfS1~xT848AJO=i(<+hkFF7Nba2qm=iFert0f!pO;q=}^2`V}!bzlBexnfRY*oic5Z zlAl7(t$wIl)QmU*w1<~xS7H@p9D3;?5gH&aD4UoBE zkqNO#$Jg1KYPYU{jfg2St|n!l?;RIn$?(9~G1BNea#@OTFU`tJPPV9A1l~V6$rLK1 zZaYIImsmkQSZ!HA#!uI{7QTVB`OP?tz-Shi2-bB+cm7})Z>YoedbX@yb7O6(0*VIfDEBm$x@*ZRl%|9T`>As5O!k7EugDa zWWsRMO6E(sHqfE|XO6!}!`p-$OGQsB4n%d_>QS8zlVrE-ThSq6aiP>1HCm&bM>ojS zCIJCfR03_@*g&@oe)_MpzjApr3bO-EPY?2Ja>9KLr4zN2!g70*I8n(Ks3L+De@?i# zW9Dndeq>zvAxpmv#FQXL!{}P<_XH*TvfrAJNNX|PVDeVsXRk#<@V>bfsb68mXgFiI zTHl+_ZNQjgZ(+nJ^L0^Q)w$UZh&FENhp3M;4<_ZD92!Um@I1uU*VmKeytU6TFaTJ; zchx{A&M`?xwMG!RsW(f z)dOv5#v^`mm!|i7v?s-PmZmS=)-wHwF}xAI>YBviRxhnXg}8{%tB%&UY=hQJ$*GJHq(beR;bret3JAs^_57IrocE_|tFUCt()kP^M{x z3^mV|dF*Y+jU>J7gm6VdT26^6r5-g_5e}AZ%=Z)Stu7{O+;A_3-lb)?!8kOZ&!dLKPrA+`w87e15^Rj6@Uhgvg;R6wdk z)9Wt=kO`$PKllCUG zdp2gir+EO5=64kG)XgUsxT;V_|~Zm_ZTX0OM;umXy4RHAJ= zo1qq_F~t6;a-*F{?0Yd!0@`YdZ?^lsQxlZ_OLNiB)YJV1F!5 zw5;wK*-g|oN+}_?bad#-$eMmA(5+qp+UMso`+pThAxvGDo32dYh!|3u5zi0~--0Zk z&*RS4=R3>K7%F=`RqQJdd^4p~NP^pqz@&Nt>p5P-h{cn|kKGt!;8ikmV-4bIrc@BS zNGZ%J+gnzfL{b1Osz+i+NK}GO5XkuSboc{E!24n%iWUQOqx~M0R*;4pua9>Si*R6u zTZ2OpdC?gv!Z`{b73m{-(b1m!-2NAbPkAJ0JljkDF)szWgl&C5C3tl(@&Eo zzQOTo^ILIze!`bS9`n3{Lay-FVk^mHXytD}gb<6v!JrH8`>bCkEwx5(=xXt3M&vJi zl+)SIibD3|XN)U@*~a=x@DbQjV2f7<2y(~XUv5fDuUj+4E0uMu1+l?^);a36%0(n;8v8R^(SmgB8lTa4D*vZXkNM}>;(+ZpEwvN5mFau?i7DZXu zexl}7TX8*2+Y7)Zy6ku)wz`oGe0XaBFGHJ|b=B<7(Zi`EP4`QdVFBEDoM`DcWbw3$ z$i$<82|Jv-iKt&QgMtz;9#c^`Qv@G#D-o^yn^XMMcamoQ8o}CrSDSW}f@gpn#3h~N zXE`XHgk=bAcIqlSNcoJIU8Ip7AHHBCI#s~7Y_Z_M0p5IPKc`6B%i~TKFa9HY0{TR( zzAnF@cViK1Ufs|GPIuhFx_YB`_S_YnzxZ%m{+!{(N^?R71>)u&=U^ZJX;#pibq$oZKMuY~z;b8G(lO;y8YPN_0QB7Y@J1>gQN%Gr==P|S`p`LEs5zkT7W`Di?xaHGM zdNO+E@S9>qGoo?_9Llz{mwPmYoVFaPenW9>h0_=m8VG0gp>T&-8?$#T-Hhh4REgPkJacByr8LeM{e+NwOX$aUS~y`R z&&G7$0;EX@p4g`c=TN4F=#w0PdHl~Kd3}AIl0D1%2EL5fOCO3XLDxHz&y(F|<@qbZitay*P~pLO#5=4N9vcO&3H%K`1{;j#iFe|jx#CY-7HkFk z1P+~E;5I~^pjyD4=W4Ri(4`)v5@U%%Hq!}A-eG3vMCwqIFmWpH zQfDh&FM0QnL;JUKe-i-zdGX-3e=u%`4R7kMWmG)wrTWFMmtQlAOHF&b^<^#Cb#~l% zv%XQVcF`a)kl6Cb6sX5$pxJharNCX$eMkbpP~-0KgU=(4b5$eT-Q=~2>d;FO?sc@p zK>PDX6BXlgUlgzFFI~kUj=Fkd?xS`dC*sPyoX`xoI+2dRD;+}o(_tt(f^2d$Jtk`UKzxAjHk3V>x2rr7>&UJxq7d(EX)gAL_ftcic3oZ*Gak& zH8Sfk9li6`C+uep^D&++wWNS98wT!`_X8Xgj<@>|=Ua~z{s`ZAu#6|z09 z9|_xeWBqG9bf!eK*Lnzwz1!bAS*(H{21Ua*mWmxEZ-)9gD=ZX1YfoBGG4a3|mlm#( z5Z_|7nZTYfJu$x;#?1Zugtro<+>kG5gaC5>77_+*4e*7Zs3Q7a``&t)Sa_MekI_|? zzgTDxb(S#x^)ouY~U3_+el#?lKoYI9z*l31MnCN_x;T}fK^(R5h5blaKdMwrBBIyi z5=6>&TCwh;eq3VvfuNSbnofmbZyo3MD4Eysl$w6-O|O=!v8&~C960(QI;y_YYiyc; z58qa2vEkq5CobapusmGV`A~o;lMdT{vVh18_WKd5ELrlEeh%oH4fJ&RV^2Ao=m}_l ze4i&j9m4012tOe}4bRi+OS(aC+&bQ9N7BD&j?p)@uMLs3xMy;GX6(URWn0v20W89jRWN~!DMaG8qKUYYl8oE{wxhy8Gg?;rWA(J$f2YOp1(5yp0z{?3 zGv|jK{1MQ)+Vm%Nr@VB77Os#vgF27B;DqfRDhBo?|r{l_g)!cNYLzaw+9bT9f8p1No&ct{jb z3aR8MtUImH8;+hn%Sh*djk8AJ?CA#2jyt5>R@&lrAPBeVfhi60c3`QpI%|IdS>9Pw zErRRKCX#|6m4~LPocZd3oQu&!0U6qtQSz4SHtqKT-8jpCx5W8)ZzrIT2-C@-yk zV$q1erkH8c1RZZ~=SWWqK3#Y(q2h0fL@{OV{DcaU)>0&}&cTwMC=>nJgMCkgp30Q_Bv>ufQhBD<(AqZWs>t_q&_l?2 z3(Iyta0Y&>{y1tlrbS>xN2M;v|Ou|_IRiEVOg^vcMy<6O1olR&kfd=yTL z@hui*V1MO{#{W@fzwI`dc+DY26j+1S8z=;lyxg5A+L)fpxzN{z-&U62CgAH*wyA{S zGSpV$%&*g$5kwwHa=EbPOgga(%MJd!0AcxGuKX0W{c}~zSP9bMTCvBQ{;e+i#BlKn zv`3FmzW0ecc~NDve^5G8A){KDGx;8*Qh1f)M`#^#BY4%GfB~e(69WOFJhMk}C)FYS zWcS)$XQ=5{|FS`DSi6Yr$S-JT){GFW{~hV^livkalvVMK4mxQsEXNi4U{^R|alDRC ziF4QoZHyk#A14PtJYtOjgg_{tNSk}jR#*a0n#8Z*+6ZUXUErxPyQ5L#-Ww`lrFlh~ zKTAVgo0UF#VJiTrFRO?VmceL6r%IQj*xEi_0mo$qO=W>MjpK8PBjuOOF#8J<<$k$F zr&tIiI#lf|-rpEp*$U^mPK4k7YW4VZ!YIu}S3Xyz?GGm_oP}n}HFx=kukzDw$ll#x z?}a3btlsUW$s>BTYU0Od%4%5!}FIy8dQmcMQm-~Vm6 zS$r{@CXs?Nhra0Ary-6k9it*;j&k*R!y7Jw&kcQivgAiz+ef`7B0VNn#WdK&kgR08 z$UfU&RG#H&Iv%r}pxt>KBPjqJt}X_?W?g__sl@$lWG-4I6*V13R^LxDi8M3X^wKeQiL3nLG$}Y@X)LR#%YRpUoNo?!Eqb1}D=iUu}NC%up?`S=tYvGmfm|bV*GUtj2w*Z6yqS{E0Y-NAC%G{p;t%#v1 zHYvdO)t8EQ>@B7J{c3^YWscYz!MFYk;pmW#zVgbB6Z?ZXgpeLG$Y+OJFBw^;;o3H1 zc5{+VJ^BK(KUNGgXN^biF917xS6POuT@fNIsY8^*xk$=Z4`WXkS<}}`!J@(jbYKVQ z${lg(e!J!e@M1xr+587Q>cEGdO+$=q`W3q|Arp2#_1>TZH>kS6g$H89+SSm+O(Nfg z*cx_>ut*g07Wy@h@Otk(kBG!9SC2WIFV$RZ5``FTjXus8M(yq-@+*^mq^h(Y%x>TK zdxZaX<5(-ZgLg%1Edfp6%_2)pnI0tgtX~-gLeNndqm^vETQa}4R5Xe)Z`wuu(2mxD zqW7z+Al|GH$C}Oeos?sQ`*AnVgGUpWTC%RAQq37aRyg^A2)~y~R&`6+?8QL_Ztp2_%2u$Z)~fvrOP2tR9Lk)uh*L#v|A5RMeSW z`6F2JhjPibPkxlZ5$ZGGL}sF#-LFfMZ#JFz8Zew{XCp$f-N*Ky#?WP|6C4eFV$!f& zK>lWUh2F~j;7pgXS$Vb_?7)k<1i+Kq^MD|UB0*pDEcH#NPBJ3e6o%=C!zk!m0!0wR zQ?O-tXcg&xQbknNnAyuV>LVvAtT8=HQw$u+7|t*CnHc@G3)Rx!4RL67fmLC#!rT)N z^f-2rAtJ3UWP^1%Q)SXU-_zWL4;vcn=p`i-Lj)|n^+?g!j0i?y(`T*Qk|Zq*P2|8j z!dbEV6^L;B^&dH@)sA*o)r%sQyJn1Wtj6f;9IUVlTAqgr{m4qx(V|^WnbZZODxEi~ zjp_b!nUJPc_Q3!d^6=lSblKT2Id1}m zl&38Jq6u!>#Fd@2#AmX$V!he+loU|zfs)F!I_#x*fR3B5;S+Yj_Aa~vJtq@yaCDdf680p zjnGJ4Y+7zCOXJ~=>E-???hz32G?q#xbKCmu?^^!w?q_Dd%(Drv?co3}wNa*uzoN(B zkt=y&ZGha z^Q0%9(a*1@X|@xua$fz7NkT=Dh1v{5WAW-Oh)qpxetOjm^(urzOzV$+9^am-G0T3ZU8iow@&Rb z8M{d)^BoQRUJrgELYDT56ln!nkx_wZ8Z!C6F>&xf^JhKR8M8^+PZ!EOr%YDpM5YqZ((koi+jdnkj{^W#Zr;`=@KW1 zmY^j4cc7G-)NgZth@ExAYv;e+)meajshb@;c|@Vns=0H?B5(d}V2#2teH+cwOcxjV z{fqS4nBscn+aG7))Jvct|Uw$%3`aB|ja80r|xAu+o(3Gh{(v&K^9q zuev7Gof8Nn_d?zsZnL3PUbHl({WGXJ8}Na;YPQl~QY(L`tiI|yzQviZ*po>xR?dD@ zz$`Hn99z+I&3p(mcBGh~W#xL+kxA4R3!#XaFaWC$>Q=u#{4eYa}h#IF7BTi@~zV znl?(i!aVwrgxC~0T$RM(#Un^}aXH~GZUs`SU%3-r8g50<$gYktNV3}*>K)!L35_CU0yVD}Jt)@kVLf&u1?6sPKdoZ@wB@P#iw zvP%Uxv@#{GB_7IGusfbte_$kWVY4seeN|OV?OfKTK2;AA`>3jPcQ>urfQx#O(ZKUr zv@#tcLwKpeYB*wZaLwPoF?wb%c^dN|=M<8xFJp1$~$3sSS= zG_N`iyY5B&i4kfnmy2|6-O_YlKt}L)b5KcoFx*0X`uhtGq_lDsj~~5q(T-CM59fO+ z-fr!0tOc`wGC)VLQS1<8e4=6Nd&9;nw;uvN9gerHJf)CL=VAWV-wUN|>77L1Me*y5 z%T7*Re{rZ>A|&|HC2pACx6CfzxtG@vB`_`S#J$7+%8MLG@T(MiaJ#1utI`Ko;z{S; zL4g{wOfVhGO~2Fs2Q+f5{jjS*Z-#7gArz@`qnuylRR3jH0`JdKI7zuKsFUohu#Kf; z2THyra7)I*8D^@4-cq6L!`fqu9A2HAFf|j^MNxaoFq+Jw_6?_ats_83l~M!0!(a+)YA?onj<>g zy&K8Id#jl3gj*p@Dv}71&~X~A5!1;@t;;$K2q=8|_Qni8f-)NfHjKV$KHbliLf?A> zjHz6_1hOk~g9ySQPBmI9ORG1@!4`Arq z+YAJxyq&1GolX?41ni^LbT?|a)&3U5= zeDM=J^;tMnF;SFbucU88>v8I+VT4hw-i#g-lcmTY`aWZKZ@gEowJl^jE7v(6u|hl8JS(lErX`Jh@ zA5x?qY5dl${|0s1K?=g}<5HW8AEAI@xOZ8sg<=UhJ;7?kbHRn=7xPhQLTMIpEo;if z&wH9miT@7CG)%0_zJ2u8XdIX5RSt&C7!|VBwz&C)Bs3*`CuIFZPSD<-+R)3L>i%wn z0LM8;nVxgCbu!EOPZ8hjqE4I>Z+ZW@97efslrMZPf+N!h%^gN3}9$ zc@K9t-xA}sPiKXqjx=UPbzD^P05Ahmd(sM137WXJE8?}!lQnS*)u|tnd>;t-J&xM` zF3b|R7}}GX#M#qfm zmI@f zXa9XzY%6p6~+?vbj)|LjyY=n)z>!^WGXV)FKz3qSi~f_1W)w90$QBChu)FJ zl(il;<-&2;~2` zwVzr(9Ao`dSnHR;Cts|2u;s^Mk69s+A0cG%o>!2AyOhMmkYs6&7L@5AxFFlBS*Jm< zY!OxHF)LmK>cR<}KV(`{(VA~cVe}Y{7M5hvL6TF-l0(}3vfp_3n`6sfCh8nG%Xn11 z%o3-{U8k8@?je(&MTGZVwZ}<;8Iv3P0ZF19Iqwptalk3J0DkyNmk(e0E2uPsh?qW~ zpfe%Y*4yqPbI((>fokMoq1euyj-C|StFCT)T=2}ugf&8Kk_9ME#8ZJql+&eA&|3fG zyO#K|{gp5U69GM{|4l0}SMjOOV*fdGpDO=a#m)FVx@*c0dJB5}aDgSFecDi7kkU!VTp#M|85K^yj2 z3UiUHT(qlR2aP9d*Nk6`=b{Ti2U+>-%9%+Ysnq&Nd5W~{P3%Wej@3)r(Fz1!Ae^R!U60E4D$r9ec(#cPiSY-k||i3#@( zGtD2AL~yM9C8Qa6_1{LB->-|vVyuy)B~#09lY!ykc#C>3>Yu?^;;D8%nbg;$Xuq3d ziMQo8GznS&-GRYmXgOElf73O%i_ttoPf|STOS)F=iXGzEEZmC{2Vj#4U;b9Y zd*1n}zNt<&JgryfdIYKG*DWT-jyBJ%(mCYezEVA5aPZNm1B(Ffl=rtvhQOF?$vS=? z=gw5pRtrU*S7KxZTxej$atAR2PMoqQxz@;;0I#C?*M;uHH8b0EYJOD)s7~=KVSRaL z7eYUVo4my~lsU0l)06`K?~CTx$Zf+IUzPe_XmQMDx!Hh-OpS_rLq z@7>Ry+BFv^^A=YcI!t)rEP^=*a^3t?y)ywm5Q(k4PBgmwJk>ty>@)EBKL+fKHqqyD zh3W%|8p@9RgcnPi-yWHhB9|ia+p2&%~l0AI^*XZ*f9t_$E(7@ z)to$Bjk|4Ra`*xRU8;IhgMAqwPxGx#`1?2B@0d1GzeEBphd%+=|MEX>+0yOYyz+UL-iwaxgX(;H^8I3+G(jOku`O`;Lzzm-Ny&w zWt;x5G@-UO8cPzU@h_*p_bV$Mf0xTmR|u>nBfn_;!n}>y+w0`qF5xj4IOt80Zw)&1 zUna=iLaH+mOGta$R{6tVIPBQ-d{EMWI#pek>^L7|%7A7AVSx~;_!Fl+tSVm8e8x|tzVK{95lki$x1TSf_ zOe0T<&}+uSDR%6mfuWg~knP;pDfa}v-J*8YqWCsyMksilo?>i<9X1b$9l zqC9$L2$4{I@1?}NdLN7!kMp1jvicAQ=QLdQ0=QGRFAfKroU`I7l&M69EEXY9hSpB$8yzzfI$hRkvT zGf3t6GvIY17uE3M8xcF0Uk=AqEjI3|EA{6-dBaP+W{m=jbAhTk@;x<;9>-fEBBXGd6kBTy(1ryGAW2y(~LB&!haNVeCugT+2X;E*i^eI|$ zU?UY{Wa!BR?&Mr}hC%iE1Mea+iAt!&q*vux3Mvvit|700*MvG4y&OUY-pB>V3k22a z>h)<&P7|}>#_4szc@`j$AAXgd=1jFXR%l;_dJ|!HvV#5Qlo_jfSWh!P1ziLx`!41R zYFg|&`!z^7#g(D8UKB*gtvz~8OuooLfQv-t;M?EiwKK&9P8o5@1)AnOMK!4FN!-7 z899m}uzEd>Q(lEBE3=7K)Z|0H%%@aeTw_5a6vy&|^&bWB8d}1KG z_fL>Ua!7-u(E}?jZ?{5?Iv*PQnIQ8mwMg{;NcMf;bz0__ z8W22j4}+=X)z5la!>Rk z)W7eb1_Z7E2 zLzG)?Qm3((9En0tVxNDhHF{O{qKh39p8;uv6V%%2p9--nBWIOQ^26Q2M>%uW} z4j8TNe4p~h!u}}{Nyy`u`&dk}LRHFyrW@d={DTffU>pMQ<upgJBxi8H zW`4iRx71{rrx4MfxoEC{#i$XqGx~s{93UUK+*oy-_A}!>w_axa9#RnH>f~0o%KqS2 zTkukN6(DX3V%(K+l?RJFIieR_Zr2d7doUpwYALNynM<@3WX z;Lq%?^9a>VyKH#_Pd!fYFjQ$u3K|?DKntJAU5J%EKQ{&G+klpPyvvQ2`WdC4FBk?j zpDBFPYtyd@4Ago(@bdZZBwDNoO36-ou$=y&o5g4VVmLr_qBMEUC{D2iPj76O+F-DQ%_soRHh!!P00cXEFlYS!2oHw80$xck&m>S6XY(4 zQDLFujgt^^@~E}4`#UJAF#>g ztQWbDKKQnNJvL#?pK6}d>6BBLGTwqx7HgmLdG~QiLR9wzZK=Sdbc{Bt;x7({l)*FI zY4K!#ePIpWj>`#+!P2@R#ul2MPynx73^0jCi#)My``ZiF06oZk*ww4 z5hHM@{gEl>Y0ps!s+jM^ht{humDYprl%?EqV8QJoc1@?yF~mFkV{mi_k^-ryfjSE$ zr4}x^8fq_sjzt$RMs)oV6j@KUPyRk+YOzar-{-+JUHXp~TTSIjEVf2yp1J1HS|}vT z^cj&`EZ?0gu#~WC9d(z%20IG5`KG;(@D6|AzrQ+6bFvW%Tlu#}&#^ckIUT;sCRqgj zd$XrSj8P-ruZ%OqOT`}k6dexvKzfTIe_Rys>9eazaAz?qtU~?eh#4;R>FB7kE&Vz6 zNa_c?pOZadE43W53v*bOtV$8c&tl}YcaZ2ycaO;v5YR5hYJAdLf6p|fIvG8(b5`NC z8)mGeRD7g*aZB?+h?}ixH~vzrMXZom!C8x^#>1mrJ|gn5Bw@3g-08gUHPGT)IS6V7 zfB+0|RS|XJbv7x(9BD;D0vCb_Jo3{t4MlJ@PTMf^zCpSbHMw@@FcpHw*9K05U9F0f zMb;XkXtmd3Z_pO?Hx7e@5`Yw1X@&6H!`+SbCn z;xxPRULve){YEs_CKCK_g8Yx~F7rPxH{=HWS`ypc*07h~x%+pwMPe%Jky+-qO`DT9WRCe5nNMnDO$6y#+^|3oLTrr99lcfsWAhw+tn;Wnx&kPkg@*95qlbOq>s!)3dR( z*AD?cPBf;nPeW#|3lz4jv z(~6noLgUcsDf*tz!0>&p%J5M?0<67>%rAVeOq={RR&q8en4*wFM^eKpDFHXj2eZ^R zRWXxih9P^pF+>$?1(gz0WdF!D1PCJ7jvB8NfP1dD+-1W+dBkaW9X8do$y!p8jH>_2 zi>uFRzS#$)TEA6U0$q~O%k8~*&RsVrFpWF3?zF0~b^hoAV!ttJ-#Cz&I+q8bhdjn- zGS-zBFRn4G{}0tT!RyZ)`$s~oaHjRkEZYVR_jvA=(b<#|Bf$Th#QECXsphR$ts?Vo z5y4ml&R386%h^9`zhg;PHPskn_F6ji%QT13y_W<#5|F!8_CwY7)sD*vXwzwNFn2{ zaLF`YofFT|cN(b;5WyT}{xJ4{RJb_h0yPJ@$6x!cIAdfm_7HHA%Xb@mfoqbn2aT}8P&7z96`Ubt3+3_MsN8c3h3vX1FgEiHdIo#<>w$z z2on>ZGqA)pkfr-VoA_=1jE1dPC0bSWw3iLjr^dTxbK@v4i&YZvk8z@7~rX826?3?7+|G`nn@M6|_2ImI@ z*c$e?zrVYk;C(pnHeRoDz}l(_5(mJbonEc`8;08-_p?#?5h+!~U)Xc7PELbp|2R7e zdfLC85##4gA-XjaS6)yh2se&dm^Ey&Kb7g!Jr__W0)P_Eicn2RS<#w$BF_`S5-UMV z*XO`qX1i0;?|X*4X`_+!re{6_AqZH` zsGi2IZh)=hBIFLhJq{ZGxl;m5u&wPIn}^$Al7@)l%9wg#du}_h&kdJ{Z|Oyy)fUGR z^BEGNVFXX{sZZhpHu}=nb<{*c<|5&8<|Fpxzp=xb`__FBBPMYjaaTrdio%xk|3Jqx6ygp7D;jtr<@awUnU`Blsh54;YUzjvh}HF~8LQ~&Y5jDbqmXj_ zyy_QKcGZ{i)AZ&MsoxL9n!mF9S>K8%K^j6g#$o0K`nLCnc$vJ<8CAV}hmCf}VAHdT z+xySiF@axKFTal-syWF=fGa6bAWs6|dLqrmV>-vC19n7Qd-on+jmbMc`(AJPwZBXI zWx=$%B?T_v#UW{igq~Rn^M>czUu+@ge&6>YK(Pc{49)V=N7efqn%nEJPIG^nhi!4u zsn;5uDC`mQKA$qO+Ow&IZ|vV1ffz>nZ`+rt+2bG$yDx(zQ+qC#R?B1iou#PN^N{Vc zzUhIp!2xZhN)7lIwbifc>%Q~3Lg-u6sOPd3x`v)?(cw5BYJb-njV5G`Bod2KN6PEI6>pH{2?c5m;o?C8f8ON69 z!nj(AUR%~+Fy+-7K!E!#Kt#VTtrkjUfPnyf(TJJ^n1lPpZ-0A(z|=x*nL20%Jvrv}_Hj3g+|zAE)Bq|4 zK1V!+GPZC+fKbx)ZasFZo=`VI-ii;{GKeFS=l9M3hV{8OpgFrSzjG>Yb4m3_c2JlA z^ukHrPVQ|&Z~eqt-461Qj&G~GX&n|@dLui{9B+GcC@GHnO;0Y!pte$`D#7Iy`b&m8 zN?ENPMzEc`99=mLIj5nL5=`uy`QQTy@ITPh_p?}N zedNmlrpOM{3x_N*M8ul`N-LNu2z|1z#?`**1)>cA>X}DkWn8(#_~$k^4UkkDE3HN6 zAmI+LhSlfPT|Z8jzLiEvB!#ns2!8FbyZcfp#;(-}`%DZ|a?=++;G2IUF!mkTDe50v z^8$dAN|tZd3rw&xhg)x37w_#c({7{QB8K@Q9K~Ah8`=VrmR42t6$NK?#xYm>= z%gIUFy@YpRL=WpYt6I_i`78`M+1$wTTR$PITerlE5*^B&Xi3s1Zlf@006lyrB-m3Q zE+QzPv4yQdUh9CxxmF&%(c&EcS53YBu%&?F_n+043^+}HtuDTDseTOF=fTBA42U;+pExvVn7bm5rvUR`1jTa`tT_I)kHN&+- z6I-6}sLxdx0&!ffe*FH&1?1l^;fQ}D`Pp+^Tkk?hu->Ffg2N`*lM9L2Jy{lc6ZnS4^nUDp@s8>#N9#zg@&GD5qeZ=)mt%BcYx4r~>`8Ig6m-cRDO&k2gL<4Y z<2P?jG_8D)BK~;DLJvmO&cOeOc9Bc@j}H}3xSPZ3)MqARIGI#=9nanCyMxWGnSUHHyPIN-dWBa9yI_GAjTdv5H| z1~<FZ*)v)4&$rK}W(Sh=jf2g%Nnu4SRIW7fQ+@IaZu*wq!z* zr7gc?h{^I)S>WMdQe8p}$}#dR*p9f{vbFMM$3p!kjLtB!@|HO7Macf7@j>eHT)-Gj zKc!P9K{@1v2ufI{gb9h z8pVEhdlep)-CXD4g_v>;)L@wB{NqAKF$2>AwQ&w&{N!uE2USsW5?CE}k@=*ykECq2 zXK0^Q85Kpy z#NC|#jUFKTaf$XY(hN+&1x$Mw2m$>!BNvR}buwq<-&;)feku+>(Xa!J-}}yBoWK`) z!}dki47LBx7V6hl{@kDtX3!98YU!|<)eOt|(_l)%Cmjd7D%;J79#i=y*iu1I{rpxg z0>{GsGf@7IM*|MGm>~*{dyh~yiI9vWva)j9A$yO6G9oK`B#}Krl4OhQ?7d}vkNbI^KY#yxUawz& z^m5v%zJb*?~!0ihn{eB zmmzJJbf=-m1Z&D_11x{fq$fYSGgo}y;HJjda{%gP~f*i`y)q17caYf?GpC2(%>pWWenMU73M~!{P`?N~_e+_NO z+dlmi>v}!ElC@k+3H=P7{Faw4Sg6M(rJg?g4x(Q=TzJqLG9}#v-H2C+LR4sTfM9jC z&gyA0%66M|n_ZuBz#=$qi1Y0*G(aJaxv9@gs);633Ak6Vc%iu1>R4wOt^Z62v4>-; zx=u1#7X+m9Y-SI}9o+*GMjAFy9*1>P(ID>w(tOh=Qx~!!At77YOlLSCL54m-Szf#g z$M_$^iTkr_eG)|+2UE} zWe>ABwlLwOE;TOIPjka@P75b)>p79J}+>4$u zA|#ooXf?M@-$NW zdB?^AUiK~36K#OTx}N=c%-dJriYZ8~5_Jnx!innFHR>C zFgFe7TDA&W7gb%0E0P4uMk_E5rH^e}whh)sr|sK-cju?jR2;Hm^m*{{yH#bidCE$I zv`p_Wy-gmks%AzyRcjFO1o}(3N1jb5B{BGaYqz1$J{X)CI?p`n{5*WUB#oOA<$b*< z+9u^q3>P(R>>Qx()_B)Rs$zWk6I!O>D(s5V_EaYMNz#Js(l&Bf2znOgGQV$r&9TL`n zLzPdwtTO!G302qpB0Gvoo&0$D;y6Lh2^uwqFq?gRs`x9Rl3<{*!_0{;ge#*>D4|#9 zhi!{XF*od>R{v>hwu4f8S=;c+2s&imX;XzxEd0WZ8N2mBKEmEe*DCD3Axb6K-U|mR zJdB5)kC(lB`_tmlBjgGZ<0YhiS<_JgI{!~PQyDv9pylJpIJBnwl$lJ1k@k&V*d%=I z-93`jFeYQ#LjWd zUG8+WKeSMPdd>J1V)-(rhF7&YNoy6Gai@-WuM5v%{L%|S1z&@{asJ9(iI30o2!#A( zl?7VZFXsj6$w5AN;za8wDe(3r>prm7^Kggwi^ACxO3SVyhLZgWqwrx2Wpmmy7nbGC1&KUMjEt4TTAw2s$ z4Q;Pv$PlNKy52VBrtP|bIY+-kPh#q}&Piv&M&GHI^{A5o#Al6RQC!Sfst-DskVoXP zcvIY`#7Jh72=9ng9W&NIkI_m51{r4z-B?ezMe_d%0rM+^dM`3&5!;7YxR4(~13$qR$Y*!cUjgIujpNopLUV9+- z6C)XKJ=!!4pJR~$x~bi6w!GhiR$jVjaF${mdx6;*!ur#bFLgM?Y2rGa%V)WdfrL8d z`OkL(klO>#wT{m&#_M+T^GX{Wr>BT9TKI_~aPpZy-zDa_R6<43u2z7>Lx{@PUmg1V z+07}xOuK3wWm7dgQiLiDYd0;Crl8=VR9>T?Xwmm3(b3_~XT~+BB<1gA`a@5q!hCCx zd8*f_v?`&pvR7+%=JcboAywdjl?SU|aW4a$`s*K%kM9OHj)QAVX6OSzXfCq9h6!kI25{jZ>z59RhtVoEU> zv#-h2&eeYrF?)*0C&vtzCsAkTYj_t$R(+*5ku<_W7VaF)TwH8kj=mL9R>uRc3S_G7 zt(ecJl7wgj$vGYhai`McAEY&!Tra#8dfJ2)EhS;iX#MAPDTN|!?=7X?cW-UzqLvo1 zg>(f%4%|F9jMRl~wlUP4x3d!^$E)l-Jl&q}Dwh!E=4w025xz({KJltjRwz8UJo@_h z+&%N}*7w-+S(B@i@C3C+0)iRG${!icJ#TVI={ap@i?I{3CqTX!j1j z8QBlmgj?3Ol7o`SG@%K`2GNT^Lbnp)zBw<8xRc7#R^6dlEb_N&ec0a5 z#zm#u6!vRYR#UQ~-wjy%NUv>w9>uw$J*DJuOXB9uqP{!a0Y%xD%+I9SiqzN39Ehms zK2-~}nG_ssgdd1nZ8;T8#H0Q&JEmj4b`Gph9lSj~XC50&<~_6cwdh;D3A^;>40j7% zpmeYomi(wcFTbE*YvYul&JDl8r2b*UpgzA{dF#xF4IdX{_S??=%sPAO1_sUi2W4eZ zQSO}kZ{g!fccWTLrp&PR*px4{<8d1A1q;TP1dey3qm;@k`uv0%FhtjhmqxCNIZ$Qi z7-M(4u`jLIU(S|P|IZ9#(qZsmuw`#&z+N5}U`{*5Qr?|DGyNVeV z{_=XU^Fn7rshzrx?rvO0`*Z)Px!u62TwkN{r)cYX`t&JFdTMIq!Fm-Dc27?aML)s3 z5cx4-@!uartgK$9pN>exCTdY+{l9LTf9WMtGX)>2YZ+Ve2-@t<8>&U*=M6!NI}dx-z&NJ`x=k7M79+Q>mq;wY9s8g|M-)Wfm7}STqg}>OHZv#6Uub zn9e^HD#L{|f5Dv~Z=^j1k<9#j9Q7pbmNv=MLUJl9i>_DK5d@lLXru@)7mUQiMO{Z` zuXJHHqh*FhM-9^?QMiy^l}t?;^EBQDfU@)4_e8GIdQTyTsZx`4)Xy{tTkjoW5|a2C zPhL!N#IVkd$EqhK`1Nb@oV+|+`dC5Kir$YjiCvn(7`XV}_Mc0fporVo*Ed@2$TT}U z8y6q{vcLb{=;&zX)82P)#GP3&F)`nvM8d$kpV^0c5Fif-3{*_$9WqLn_9PX0`g8EcW;b6`)VFWn*wZ;=WEemS zOIb|~cVnXNO1M%0uSqR4H#a^B2?@V|fX%%xm(Z%)t0QG2Cn$@KsFnx{u01b;GF43K z%($0Qp!P$_Ya9mCShbjY@5aw`snF+(KUpLtX{TNsGMM^o-)`vc?d=`;N5mpxa_3G5 znVhno9=U#rQE*BM?TiEn!xZR6O!-|f2nYzEAFZV8($?2ig;;7jy4A#t5w;rw@+^U< zjXx4U(xs?ezR-7cbWlsVabpwEUb2I&#S06MK_gq-dG?aSRAY4YlrLRHMTL`#OaCf; zGM^b`znSm9>pm}D(EV_>tbh@Bs^1TVJn$-hSA-YHXwp-EvOT{##rVeSIXA zRy_gL)nd4KcqC+Gfq>zduU*4}H(Oz5%x!H8FH)`NJ7Sq)-z$cSrfd$EJUm*;j%7~n zo|&EoIRS6&vfZr|w(HoOPvXdNF9WW^V-XLJic)IwJqwy^Y;2^K^$~A8*^oK~sb(c} zbC$+`3v|V%4Mt_VoQ`P-zw6T7(ciyC#=SF@UyCvD@s+Vxxr*cz7vqBnHP&6av{O(R zww`KiaPs*U$70yvCGy$+cR+VC-yC#*`?|M0kXl7p@)90&w#f~_xA>8iJOReMq0l}> zzs$76J(8kK_1-M=13?ukUSoMHD|Y`eGl#;K@IsKqp?df39pc{>N|c?IrSPAdiHV6h zRXhrMotVfXB}FIy%)kH7V+#wGL^TYA$!F`OkyDni`-ZXWa{p!dX9mCElc^1imx|4r zOmX-peNUd1j675H(0oOTMJ}jv!yRZLWi$;b-=##W9;h znjRNSGHx&?k^&vg5K>Z7WH1Khu|H%WvOp5qjzdIr1^H9wPE=4(&|?}q%zN#cBK4oO zm6ZsI=L^CG^ri_pUwIh?RbYDGh}cnXOg3nfH%{7b&QN6K%5$5nyHOL zwW@1!e7x>KcWG&9M|&g{1|s9NXYC|v0Mc*4Fo7RtHaDk=Q8w$1$17ZV1_oFNC7)>& zsJ5+`V8iUSBfQgjNC&1J*6W@GNXvOXf9+`1nz>n7|o{N=x3}M8Uhavil_hD(AgFSX~dOCxKh6Zy&S6p)P zhsC6$Qmr8*q zAtBkhJg8?^rNAP$jsM==E#Q4%4{-uB|Ex{i<*!P^_q*ptWZ_DN6^}39iDfKtljh{a z$-Wca3g4|`Y8vzHn+iUiD83AQD(UbSt#O^3W(gjY8~M?VfUc%*)j*iZL z0NH&eztak*gfG5llB8s0sGDZolz2ArDudR(^GDbwJNM>F&6;BTE>5Npf4HKU=UO=F zf34Q&_35dP#ye@6ri*ha|FJ~X>SyD_ISu0W&z{XJE{-g{2^FyDz-g-2&X6q;wF{$V zr;MBd2ZL6qb_81fWB%rUYMfi=20m!7>NTzur+@$c{mw4eL#-MP?OpWnon$yaILi@& zCq`i4R#DT?&_I$SJ}!`QUGiUAvaYGClk3|}NlD297eQ=K+SS$6-Yxwz;u;dU2SK}J zzz&pcIdYh!J$}JR6nuw=hmY^a2ur&B#ql3Qo_`G^fg?8c><_PCa}KhmK>{OV*C4hs z{>gzY}G6Zl$XH-aE9j`#X% z0yY!A+U@-7y!G+P*1^U^B*Xx`NcsJhAv`)U2cKfI7IbFKRZqTq_pZOgM6F0|o&uP* z{}?ac`SGv`cnQ2291wsR#VA8-Wo2cwOG!?SW8>}Zo&J4uuz>7GPY*n)muYEf*t<8A z$FHETv8*R+ps@^v7RtG!!IuL7O^ZU+S;8z-U?wL zXj=rFQ?=03+e_u(z}I+`H96i{Z3RhEW_E54WANwfReb!xltb_#h1v=R`$Q#H60g0b zmyp=e=GD6JDka|`w0p%d23&EsmfFfBTb~Al;68|uiRt%F^l+HVH?un z;s*oVuwUt5?FRlwDYrGlz!#%11Og)oKPBNSw#_F8>jNp9085Xc9U?NgQ9wpY znzbwOx@nT@=FOl-`K6G^(fXS5>jBU3?=oh%P^Je5->!76+DXZ&1&na(CKp#*z31*- zU0p21<7|Iq8?AKTBPui4+NxkEmJ10Ebg;iT@!r3B_3F_~C=)VRsz*yg(#O5%$fKaB z7`$*;QzH%n@}Eo@zZl0{#-qf+vY7JO)oie`3=RpwHBl(iFCjf}(W!Demk$zD9f*fq_^6 zxZ34{G|6dcao=i$fQjRpNEA+$^`l{+h~2QTc$|J}c{x8i(ZXy7=-q4wn71;&y|?!@ ziRU48nlRQ7jc)Y%%N(Nrx;af6Sje3ZQKD1^1_o$g5*8WR2C&HK-;U+$*RSPS_5V-ul3c#u#-T|AEv_aohk{ zY3Q*zq3C$xM4gGQ3tG(m72qXyC@=Fq7svnEe_Ux!`+88HCB-&y@B1Tsm8)M?UQQezA205wIzk0@7`kdNMB#9-g9yhd88r;YO_o z=kRq~(3$r!Gpt`3cj zB{KD#r>F8BX!^8T;8APrM z_f69`si^=%&gD@k5p;w`&ox+0esQr9#32%L@*psfmaZ;UkM*}gPs^V#Y8lsikOT(@ zmw*0zr_8j0-=YKm==gX=Z}HP7VRB%_1_#Lx4i1)vil`J66!<;1rteHikt}QFfS>l( zk}7Er#IYzkog6$vz~AuE)guI@Xio+PhVAw0sVv8-M%vgi(7i?n-@h)Nfs4XoVx5Ke zi_l2y*-O?IUoW__(-V)82bKJFSokA@vrDXhS(h$!*B&bDk2`{#YYT zoCJ@OTRv5E-%qgsn-c=%8=`<%trV4g^0j(gLCvLK+zcwG zs|?*;T`f^GLQcC2nk6V~f71ppb1QW0*UTuyOU|VU!AWYvC?bb*8ca$%Lp@RI59CX!oXcK!K)UZOw`7Be}5b z#mUEa1=(BsO$Ii7r_OCXE-5Jl&7aS-g@TYkv%EdjJd-B|*qj&`7~+2CJ`K~h)6FkO zYf)SXunzbM9NKrhylS^(Pxe=@$jQk;SW9NesR8!U^nzP_Fu{t(yE(Xkzh7m;^RNGbL;`T4z1 zBcKx<>`q8X$kwOQ1f$H>UzB}u%n7J*bso?c>B{`_azTyLj6#ES;k<{J*G(wl^S^a< z>AX%#x(RqcyCIkA{oTjysL7OL^Y>fO8#m|OXqkliqM zu-?rQ1AQN#`qq(=>Xu%+mVnE)`%GdEX<6mvcX_m7(5>U+4|&W~RKi%Lr0Pr?&}m&7 zl9hoJBNf$$1L$L^KU~xcaEt=dphDyBV(&<|qSEmk^8?!Q0E`TML0Mej*_iN*vyqWe<)HV!op~Hw+`>bj zi}SOg+8e$XXNTC`p8w{PD}4UB0Hbvk*ppkgZnb)M{rK?}o+~owc7nEXczmS>AyC0& zWn~3bFur~JcC^W_$><#`io1L)pw$8d=YifB3_WX6hM&@I;Ic=-dhoUb%+KI798ddY(Z zZc@^O=r2fhGy!K(I0io^NZMaWb+nbCWMblTH3l_q1`3!OZ zpzHbYqj$Fgv9B%zImoiUxf$y| z>3PM>XFIrKn^Fzj0*c+_tr`hYtTk|kz)l8w`k+rP#Sx-#V}o96fGiax+1PUWyrQWE z6yCHaKyUz35J3Px1j~1UbHf}D6maJP+_33cghG4&&59u@A0J=IKRqnHw;FkF8Yrhd zuwMaSEYK@l6ciM;|B6dW`o27W3bDdYhKOW2bReo=$i>;&#uc|BHI*(ZI+`W9J08+3 za0t;or}yvQM<-f0H&OUjXNaX}I0yWae%afhw{P#Vq%WvP$N5B zU8XYgsp#`kWg|t~n1qBxT=zUWAVMG-`rbDjp_9DwPtVLOIXgRh*rG5aFgG`M*oQzf zno;lx>1%F!S=S_ln}KOT=(DeMJU*`1In$V5VDpdxJ*UBq9V*-d4RHu%>(bahi&_Sg_ocD@MX8_m_ef4CFB8Z8cTwGXpy@m8XOWIG? zKfuuf7{hPgdI_IK@RF&i>3%Jl);sCnKScZ_xp{bkMHF5aHHhB%4NXIB-|IXR(UB>& zlORC#N^3%Rew`LrZf-GJPMN6u4VU~ zwzs#pJ~F&^?V5Rk&yY*0@t3TDFZX*#3UoQrO?QPKJa}Nf^y|Ih$0t`I7^5r2nbF^s zPn{vIJvEfdTEs#>`oh9OC*U8jcj;w)3{|*3G)~qyD;f^8egCfZtRtMgtE)@FNY{Ty zxb{X$78LeSDOzr7l@jzW$O;eKqAcsGMd3kw?JC%y1sl$7tlq4$o^k?1qTyb>(K-Q8Uh1_mB!-??ZpBwzb>Nq)Zk{ric- zI|J~vhLOHcPh(e*p9}OFCpC9s=xp)hN#0IPH93sJY6YSs~^-X zX8^WDM_o{Vzmb^tkieP%WZHVweLrKsGQcO)xGs}!Of|&Fpi_^pMh~`^+MCecEiPeqk=9Vp8-Ue2@j{v z#)E7%)_5G7dESm1=o6P(1aS36&aZLH11e}Es>j~6rhaEAmIl}5dsPhquc0#3FE(VU&tR1C0N4m&F$07TZ)L?isnUCbu}8^Zf(?U zD)1)H9c|B1i`rAe^1;l)0y^$aLp-)s?^ zurQpx%_$}TCgoLCw{P9T0G{)@J-hYe#{p0-$PP%7$?&1gXntuaELQdyhspPdWoKtc zctc@zaq)w5S#q!J$$xSJ|GU|hp`sda`Gyf-P)N{Gfs)4v9ks~G$(i~1v`6QZZGf6W zFB>4t0sD6zIcrNj?l5gqY?Tz>j9tpy5(mHGYc?H2S<*WI)Cs+-OT z#y>wplM}#hhQ4}5x;9Z)ZHgwU0Z+|k$I9C79AEEg|N8Y31oU(__6SAqA3XC_lAAf(hw2mDka0R(A~5mJ8ggbf6E#QrWWq5~QPAZig?a#Qbhk?26f zo*zGmDJX)`rA_lotQwzxf&h>o+1lbheE1N+7%Q5ORF1s^cP0R9IH!=65&xQ+8n4wX z^co02hp_1A_L7Iy%s|t@B%%v(gP0fn5Z5XIC*|biJOZGjqN;k!*H;#ddTnj(SGF>` zfM$g}+9IOvKgNTJ-d6`pZ1i%z^x$8BSFH!~2momjQ&Wcl7unj@Hg}_;u0ujnk`;K{ zrt@PiAm*Kx`>(^)XF`OBjYv-J?wx>DNf;SRhfS1~VwH2ORd*R-)hqx0H1mW1f0n!c e4+~{KFEB#zzr3Duy{wPGKh@h>N~H>q0{$OeY^-en From 90ef7a446892a92167484c2f478cd11c13b617eb Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 13:59:42 +0300 Subject: [PATCH 78/98] Update student.ipynb --- student.ipynb | 734 +++++++++++++++++++++++++++++++++++--------------- 1 file changed, 512 insertions(+), 222 deletions(-) diff --git a/student.ipynb b/student.ipynb index d4613b40..75ae5b30 100644 --- a/student.ipynb +++ b/student.ipynb @@ -135,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 189, + "execution_count": 311, "metadata": {}, "outputs": [], "source": [ @@ -175,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 190, + "execution_count": 312, "metadata": {}, "outputs": [ { @@ -303,7 +303,7 @@ "4 NO Average 8 Good 1987 " ] }, - "execution_count": 190, + "execution_count": 312, "metadata": {}, "output_type": "execute_result" } @@ -327,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 191, + "execution_count": 313, "metadata": {}, "outputs": [ { @@ -336,7 +336,7 @@ "(21597, 11)" ] }, - "execution_count": 191, + "execution_count": 313, "metadata": {}, "output_type": "execute_result" } @@ -354,7 +354,7 @@ }, { "cell_type": "code", - "execution_count": 192, + "execution_count": 314, "metadata": {}, "outputs": [ { @@ -388,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 193, + "execution_count": 315, "metadata": {}, "outputs": [ { @@ -537,7 +537,7 @@ "max 1.651359e+06 3.500000 2015.000000 " ] }, - "execution_count": 193, + "execution_count": 315, "metadata": {}, "output_type": "execute_result" } @@ -548,7 +548,7 @@ }, { "cell_type": "code", - "execution_count": 194, + "execution_count": 316, "metadata": {}, "outputs": [ { @@ -565,7 +565,7 @@ "Name: price, dtype: float64" ] }, - "execution_count": 194, + "execution_count": 316, "metadata": {}, "output_type": "execute_result" } @@ -585,7 +585,7 @@ }, { "cell_type": "code", - "execution_count": 195, + "execution_count": 317, "metadata": {}, "outputs": [ { @@ -602,7 +602,7 @@ "Name: sqft_living, dtype: float64" ] }, - "execution_count": 195, + "execution_count": 317, "metadata": {}, "output_type": "execute_result" } @@ -621,7 +621,7 @@ }, { "cell_type": "code", - "execution_count": 196, + "execution_count": 318, "metadata": {}, "outputs": [ { @@ -643,7 +643,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 196, + "execution_count": 318, "metadata": {}, "output_type": "execute_result" } @@ -661,7 +661,7 @@ }, { "cell_type": "code", - "execution_count": 197, + "execution_count": 319, "metadata": {}, "outputs": [ { @@ -700,7 +700,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 197, + "execution_count": 319, "metadata": {}, "output_type": "execute_result" } @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 198, + "execution_count": 320, "metadata": {}, "outputs": [ { @@ -727,7 +727,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 198, + "execution_count": 320, "metadata": {}, "output_type": "execute_result" } @@ -738,7 +738,7 @@ }, { "cell_type": "code", - "execution_count": 199, + "execution_count": 321, "metadata": {}, "outputs": [ { @@ -759,7 +759,7 @@ "Name: count, Length: 9776, dtype: int64" ] }, - "execution_count": 199, + "execution_count": 321, "metadata": {}, "output_type": "execute_result" } @@ -770,7 +770,7 @@ }, { "cell_type": "code", - "execution_count": 200, + "execution_count": 322, "metadata": {}, "outputs": [ { @@ -787,7 +787,7 @@ "Name: sqft_lot, dtype: float64" ] }, - "execution_count": 200, + "execution_count": 322, "metadata": {}, "output_type": "execute_result" } @@ -798,7 +798,7 @@ }, { "cell_type": "code", - "execution_count": 201, + "execution_count": 323, "metadata": {}, "outputs": [ { @@ -819,7 +819,7 @@ "Name: count, Length: 116, dtype: int64" ] }, - "execution_count": 201, + "execution_count": 323, "metadata": {}, "output_type": "execute_result" } @@ -838,7 +838,7 @@ }, { "cell_type": "code", - "execution_count": 202, + "execution_count": 324, "metadata": {}, "outputs": [ { @@ -853,7 +853,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 202, + "execution_count": 324, "metadata": {}, "output_type": "execute_result" } @@ -864,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 203, + "execution_count": 325, "metadata": {}, "outputs": [ { @@ -876,7 +876,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 203, + "execution_count": 325, "metadata": {}, "output_type": "execute_result" } @@ -887,12 +887,12 @@ }, { "cell_type": "code", - "execution_count": 204, + "execution_count": 326, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "

qqt8iTj5j5$QDh)YMe3Lp6BC;HG|waaM&^j6|YIuZvu3kO9hg zUN?5cN08HHcuXIBxU(ierb(dbdz{x<`5-hMG9#`gqhG1P`PZLFna?&ILRaNRHox?C z@yfaBB!OE4(c^B$b+3VG6Fdw%Rm$^6evt%?=ifi#J&w*XHO7fg!l|Ay5R?YS^9hYj zN^>p|ecczhdXFJ2^4A{=ll3S885|?_Pk>0I2nE+>~rN|8e;% z3Cz_j<|s(PsWFp2U=Vc4u#!8|bxAOp_y|3a0BYcAI6euHDKV9gw8sZ*r*1bVO4Gcf zk0|O?8UMWw7bj9+@GKeG_h)}#wl)VG#XpT|0m=hsUhB*!q8sl= zTI$Pm2krWM;W;_=e}0#``R|XsXt58t4)C|X{z$MvH~P<;6SiFb&+>rEv+*DIb@8HA z;O@DqRo{=pck5wTOT?F7~Y!&G9G7w_#Q0e?1VtAH7CeM z(axqX(U~jMKG#+iQPXh)yKv(-D1cDX>hC<^Q{%-Wxnc~=bt_OqJz=cN$hH0$@4av5 zXzqS+Wo}vv`WG)+Fs}LSU?p$)iAI-D`i8u|i(6|!p9*egV)KRq$XmFL&hp~-KdwY08?4*d%uSX*>ShP5`LKYfd7nt5IjmperGH#v(dz?q zY&8gEb_H&%08_dNd76W87@J5MQU*2!z!m%+4B_;OzmioLdHJqg|Dmw|d zWMU9^8@_nU+5dT$XF7tm+(!dW&%(p6pNgY`&MSu*tMZRMMv6Qinm#!*0w670$OrniM*rT`DT@>UdJ{WN7 zXIDE3S6ujCS1eWSAIZbZo7_gIODsB@yV4(z4hxs~^)KKBhKl{+EJ4#xPq;%d4|In| zND=6AnzlB>jgHD~g$ZvI6E>=j^mA1pvKSQj`uciO3z0VM*t&EZ3X(;(4wMhh1Pm%q z7Ba_2%D=jMcx>GD_%I65k`mttECI3pIMV?6(+dr27FDP12QqJ*@THeP=>7=&U$?(J z-Cf`q;WQ?ZfC?dUQ_*3=JA}Hh3@pO3P6G_^Qwkd=3t=qRpa87rGV7qdoSZgX|8)n) z`nik1HvH&LLxSYj9Qy_bwBaN)D~uwO>la=brm!4OhL*tD1~i@@-MRo=a2HEsj?j0I zsW~In|7#`D-Xr7&R_L}0Byu3lT%&*nv;v)m`Ry#gigoXotRGtom1hea5IK%cKf-}N z81?}BWd}L{%5qg{;i8X^j}_@1w0yCH|8>!w@Ezb9qM?E;-+}4v)z1O7G$QjpIbd}P z$pa`M!6QV&BJpC4r`dxd{Kf>mQe{WHQM_lCui7H19eoixpaAZ__5535A0$HP&ASk;3Rc1{|wFQzDiC z40RmAhhCpn1#mj5K?G$U4Naqdle{R8rbW<%4wPu6X5GUmC{Z`~D~)n+cOUyEd7;DKzr@N2;8(ekV_`eRl{HhnX< z9irWewUl}ge@OGQW>B)-o&9x299J%0e0wsi*0O|O2ABAFGzTvA>&BM^InIPrke1nr z0&O^(U@b$n?Qb?WN`2VF>r=eA$F;?XLmPfBy#!SG#DD z+ToHMJi`h<|Djl5;amPSvF^i@278o3k6(q~4D>xH-o4Cn%NEGmwYPKX_Wjq7ZRa|1 zEH3kMxR}PCI7D_PO3oar-tMUsoH#DjITrEQ4O6JH*`_;T*=EW zoH>39@hY+73gKLl34c`ibLMDnYLp5g+-s*1j@C+OiRlb{`Rl#BBLDNf4MqE69#r2I zOk83Z2)@65S4IbFVWhvE*s1P=3vbDy>+f&U{`Y4~um`1PD#>@7^*INfzWjT~v(uON z^Rmtxg~H!HekJ-DuA25k&uGOcv@-JSzwSHm8@lhBF=GLXO3^Xiu8cp2@duLfpY2j( zjkRgNx$<+WLFcR1;2(%9S(zT5{G3^!IdnV7V3(xc@(fcIPrT4Xw zb4bwLhOLuOkF4ujoNUi&s+gv=Z5Q#$Z*j6HSn7?OYKI%ujN3iu@aNw#^wgUNpC2+B zU1@t(Iat5juq*Jy>uD)1}7w?aL$Q(sc1VrOK zi6=qC-veUU^jcL}v)=na%fyR1Qsm$$t4%i>Z=^Y_e_p~6T(#uCu3GeRVL?K&-8B)p z?3)^(}vv#seW0r5ZSY94koxw-ByTmCp% z6Cqi3=ymQ`PHD+Yv;$4Ske>Z_1~n#JTuCM2ha+bhXfU9WQo7B9y)Q5K%vx z?Uc(dPVF{!9g8LkrT?1i)Z7V)(|YE2rQUK1t)ol9k0a&3Tk5L~oelEY)p2v>tHj;S ztomD1EdQ=d#R1|Fy5i_9w}YTs+1HNgok0w4Cju&8%Yhz+Mx)Af;qp7)B-%&#mv*UY zsU1({ldcb1z2zTy!s@LpunFzry8}^zVr(+x?)mD?tt8e5!O3;fXhN*$}Q4yzs+EC{w4J`L5;*^Hiy2K_DSsFn=Nb}f8allYE87w**yN; zY9hvaIT|I-?AV0QKhC|Q76pO)O9b?3PiO|4Kz6ZmjKea*Bm4qH z4zsT1*u6?9bK%kDitM*G-4YXd{`QaKKHu#&#Ij!Kw9;%T>Oy_a;@n3XCr`nRg`oIk zYeMn9fK6M~{8Bo;M(@E|7JrH0j8uO2kaolp@_oQtW?7cfX!_*$9QE$X1822$Q!P{E z^LJ1;-#M>aYd1ht*q3R3Ms7D$x!Vp|8J5@Kb|o#=3&pQ>tmH4 zBLsx*#VDV=v=0(EApWz1m%4;lv$HW9{tWBJ{ReiO(c07~p*Ls@8$4qnrsBl+r=%X+ zLe#U0h@U5X#dQ7l3C)@3us_|B+H9#aSuzP_3qg?Vd)D`0hU6pl#H5NibNWgS|t_*&*tc?boirtu8N~AN}m# zlQyARtaZk^L;s#ed-O$PGr0T>@x+Cq=Wcp^c3f!(#xJM-`u#$4KJ4W6#FQ#59 z8s5E))8$i?B+P1Y3X62A1q;;Z#cHTn>wHzT(7)Uqq46R*Iqt*(8TAQYKmPP)zK5(a zFRpm%Mg~?Myzu65*y(Eyj)$*ae{lR&e3Fv?#1A29)vmuU9}Qk7!uhbW9Y~nIxCe8&xu3h@j7Dr56km*ssm^E#Zk#`UdRZ6$r|1%rz) zq~Glx`!2?(XWWTCeLZx0)kA|_kyZ!1yX$h;UmShISr`BKoV5u4)i#gxeZ4AXeL}{@ zm$q)ROB|Qum|9C1+E-2M7%;ABucVq7{=RTvAKqH`N2p4!1a`+Q_vhd z+{?zF=W})-;_L2trBJTa?8Ho0M}yW66eUHtQ^(C`$o2#$>t!GtsKWXIAw%TDuiT{vSpT)k*z1PcPQ(~&I*OBjDFXx=lOpBzu*6P zy@=}3ea`*4KcDM*uS+BLT0u~Np7OdQZc9u!d+7)9f-yw+PtKoB71&@ zE{Z(XIW-$0Kj7nj1wkI9Y6S$K%y(VYYi@MPTtDkY613>V{2I%2t-A*HM%amGbqpgK9!d`|(3TnP# zFc)t4ywopKL^I{)cB8VvQu3w5WZ^o7*`QShs=U&y56$J6RPUG3%3>X|uD{L;)t^ZWi*EofzVUhJjShB7GOUpUsoJp+ zFP|KfpVj(M1DyPN|7nlALOK-M|DBsnXG+uWrt@>7#IdEiq`8+L5M6eO!w?wtqOTQX z{knVlu8z2Fm-~Ho1vf8e-ZXtzjsE=MA5IdVcZ$&0wy;nO4a+WJ3H&ZebS*;9({rF* z9ezr;;v+ zC@p(mZuK^}m7Rsq!onms`RIJKM8>sWuLq9__glWseXw+23|_^{;`Pb@O6;>c{36($ z=cYVX-%7aSY^;`BGwyZdC$GUBP7Bz*iKI4o{2qq=aU1dxIsk!`o{3c2{Ovhpa2GxP z93}`q{9>n(b>tC_NwiSoQ*<}mKF{Sc&g{G-$Nkax%-hLJW&`0{P5SgXUK&4o0Jc%f zMvYIo@dUpi7JD8|kkueEy>*W7g((djwO+c##xvx|o+-XtlKcj0D)3S*F=Zk;=$hOst4-ZTi7s{jKkq#xadJ z3^PeNo~DHvll1B0=ZPn3g*M+x)b(>Cms>(^3ye=U&iM$#i9DIArT<4_kxvRO61b32mpx#_x3k{W!cxJ`kw=4cZ zBycN7zs+%=!58&nwTiZJbpI1gq#j;*TQOwXSXu9Cx46*UnL5k;1f8`MMvnHqQl`y{ zl6z3eh@%`fUV1Z4%SvGw44m;H#H?8At>TcL-Jbi>57{#wB%^JM7Tq?wsAG;c@EpCN z@KHj$Pa-SHZT|H=rn=&wf<6jQT{>|f36Q~v*q|2l&@Wfl zn^sf)U|394qcfdY9h^TUoVV(?EMl1=CHETS=F7+t5Bi}tT7feT8<~B~t6}%+X2-!R z00H}VdHTg(tPV?23KPLI#WYwZ_|4+1%8SX|@qCfdTXyh@occf6naoNe3#&w%h`!RN zUsNV1-txj}3)NgG#UF_fNv5PdSgMue=uYL(+LdK~J3m|*S1+=)5##2hNgQNVpJhnR z{F+1#b!~cq^unw8;oqaJI`0&4w@yx%)E!%g7_blSyNKq(cmJzNT=4_xw4A&vMlvns zuSooFq)N02&Im(sZ4$RydFqVtLMMFy`2&B-cb^o2II5`%>xn$7YI}sa>vbZ=nk1wS zM5-;Kbw^MJU+22@M7IKCEj`HvA+eu6f*pq3Cm;uAZw zp_^7?x5qg6cioeao({v+Xs3V^`~{)P0KKb7<4FG8uR|7Ac_W;c-2GzaC&|-81qzol^JZw3$(1sWD#m`gv3752 zL}yPF=CXHhTvM@T*VBl{{YJE{2qu06bO;=)0FvX{@f@K38dx418+&lMd^K8vN5g=P zz@O@7+;@YMjNZJZu2@)ZFl{9#6Stn$QjU(6;Md5xOx9j9dvwuw{Z*3V8)opybe=rP zbvdGGwmVv@Y9cC=`ANFkdq&H65|cQ%I8Wwhur<3*Zxut8#Do6nO7)l{%2VVBynwpH z7eL!Aq!-;sNXBaLsdecVIX&am5u6o9rQP`?aDAADmRU`FG-n~0C*1z)0WeGo-#l;$ zI+cH_03E-4W)N#~i1l3Z*etivJ1@;3Z>L6zC+a`m@5JBv7fEzmJMR58V*7jCS*Yk{ zQ?!*vOK~qh+2*k3X0Fn_<)g??#EAPV0URK(`M_i&SV!8r4!Ysej~}Py2wSub2KB2tOezQ&l*&o z(Hr4G_k-sU4T{Sn2)$4RF)f}W{2i#nFkn#dkv~F6HN>?CD?(;4UEle&q}4=k%x~3C z=2wTwupu%zrzjl4UTW5JRbV$;?)?Q@0OUz>>@#s~tKx?*!!)Y_36XSdQc2zTC)$CH3C6Z9c zEByt0#a=1RRB7v7ra(ob;f7-LqGIUu%S@bVQfAkWg4r2m1Twv+T3$oNkE-wS-4sUx zRIa@p%o&}HRH8b}dI2ZjSl;+^ULhi)GG_Vm6}4Xx$E~y5J~{hyhCH2OAe1;S&6ad% z*1yU*r^_|B^lMv{#;qqC<68Li`;r_h?|*GUt55Z9af82PhjWo?e!`vg@Uhe#yjZOQ z7{i3Mo^{zaz-s&78qR_xEHd3r7oL#WXH7*Po;Nuz)e`HgvWoe>obaMjq=|A9K_Hf` z`C64#uT9~AZ8_Cl+4#<(%gxk0aFj8>c~Zc#az^FF7$31~Va8}MI&J?iSF%asGaqZ9 zGYOB)1QG}H;b7w}5(fsd=EB1Bhz(>d{q*}_M2`1zcGUL>;0Ms}8~vQ;cpa6+oPwoO zUU-*~8h+;=+4uzsGXxC0#d!7pc|gK9M_`mtRdkMQU!4?XS1=u*4D_r9HM~O8ECxz( zZ*Ys|rev!o)<(^nQ2MS5FSquR^}B?{Yu6#oxCh{M>qF)@Uky@h?JF6{&;7>&G4`GE z_KLOrq=7I%v!yL570^3pCD~<;aBB21Cszpm<%2FPJ$n!;>^qXW#ClTb@`X^ncHbNl zXgJ|N)c8WJit;AkGFI7|Ki2t$MwsNi^-){@&!U>9lw*L^O5Qs}m7`>G)&UxMfgnBc zpS)j4MIsPwisAC+>LG|?12hT1(9sgjDDCR@6qeeju>9(b(dFMU>v;~KcUmf2of9eJ zghO~b=xMi^vbAC8GPa!RGjr~fZ5LH0<-2j_ah|77IPMXP=h;t{v%tW)*1q$yw$TNbi5ym-4WN1_}O5s z5CIHj=6eaOtFoBFj)NEib%J(7qs4_AMW0JwqRxkd8U%VmK#XE$UE3vq3Mvwb0X9Sb zkk}FU+sEQdDEvfU&8i*8{Kc3*zcf|0C2UVuN_4&6<-$bMZqq{1j?fvJKt7!fwJN9H zp}1(Js`^0Hk&BrGu#9eKU1F|wH>2E-oJC;e!?WZ1cdm>uCI$3Qxl~U3l-JMKq~dVM zt6CyP?!p7ilJxD}$e!5)7Ns&8LV56XKzDja2%n0aQPnBhcy&-OysG9XuKJ*pl>K?1 zX*}ZTRH&fN&jzN}A*rD>(+G6~Nji`+4ZmjH+o(CUk@77085dy`SeBGE2AoEt9^;ws#>qR0H&7d> zsw(vzm(?sx@PXyHq;!bVFZz}ybuOmRW%;$(%hyq30n3+ASw(6peklp`n;o(G@W4Q? z!Rty&w8Q5xN&3`QXz>OV;3qElXQDcs9X~Sygtf@A&%d7nT?9PJp_0FXrx+SUnb=kr zI5vyXF{(6uWLAB`M9}FmqOQB$+gsGp^!j_hPos%c7ilpJ{T6K)6aJkfrG)Hz;Z1eH zx+4@_u=IkOyC0TQN)AE2oXKc4%&3ucO{hBGSf6uF*1=woTYSnGX*Yjn*rwKs)}zqT z!dVlhL$>Rc-NnepqV@)!RmeR*OB@6QC~Y%E1j#l=GtOokgO&%-HB{Q+W>~?l81?3x zs7T~SSVv+kVVlFmej)=9m8&B`fwZfZfj0iBtx`h(;m3Eo-6Gw~cBT2^$ma(`bDO)r zHTsn)DOIdhU3E%vi?fee8p_gSTt1c-3CB#D*1`9i)@)#^lB zW%$iVS+?~;=Z0QpEB;ZxVmFMvVML{XUSM?sjTt zwn?ZdscU2m#dC>;B_w$14OC4*_Nl67SYtm?lkrD5><{w?G#1)|ag>xdwQYsc2r5HZJF_4@q(}quZe2HWBf(C9-xhZKptTX6K(G6 zltm~q?qC>Jkg0zcDn$w+xt5QjX{OI!Ggz<@c!OhsEF3l{#7`OX`+gb?st#8fD|7Mu zY(Uk(fRww*ze8HlOwxr<@XQi^#|cucK2+uV^IPHAwfWyFv>xZjt4x5)$M!50 z*^u+VijvVyNdVPvcz14828-S zN!ya)aDNGQf8i#FvA9_ACyTm4RB-MLx}lDf=ZDO;;>Wd>V-dH$Dss(rZa4$q!rBQLj^mR}USX`I$w`!bbP-y6oX};7J*3_)1OLduwBLn#F~o)YT+vBkz*Q zNPOydu8`Ja&)q}}w_=0)W1~!4uZi#$JZW^%)U^xO?6q;%Jv^F`)8r+FiLEj>CTfxd zIt?Jd%sY5>3{+Xky?U(n7pX$LMBXyM;bsJHC{)Js!OU#ruVc***>TvA(7d}bVH^O8jP z``JhvP+TaE=8ym5`czHV=%zRUQHA(l?Z#N#i7y~>CvoKRMGk%on}~17iBbw^NOikR zb#({@6-#4rg5I;%F`p$D^Ou>K%y&I!+}Q-UV?g~H1r*>u&(U}jtbL_oLN;tuo^2WW zcNYY!6P6L}Rw@wA41AePyn0vT&N9Q($z4J-53-hQEvPL16-sF88~(cf(>z9GpOQrN zsxZBwut-Th&s%0h^uDX{HKOu+y<$0~RGoz2%&Rdn=3EkrFIQ9UU3r0!pU|&mA}`h8 zq<4s0LN<~Ri75Z->+8uC?il?~g>_CQn)h3MK?X%cVC+e%a2x$CEO3?o)dcW!gi#?q z^fo5V{$_bji>$DcJAi0p>)<7p+6Y^l7&vPZ*9G0bvNbIT7Kh!YBc@SAAu>VT(Q0CI zk<7B;9SGkmJ`!wy+=XzU5G*&~mpI7|>6VCn25}RCBQNB~?vYw#3J@aaJc9UkjltoM zDCEG4klHc1;`y(D1Md(Pxy!*cQQyTQ&1f9=bk6v=OY>TxTo~u8J4N*)H_a$7!*=^t z@Um_JZKK?f5daO*oHkkyDbe(OvEBNmE;~vOB&m#V4lD_RwDLwsPrrDa#5<(u#?7;t zJW`98M)#-1mXc?@eANqyl|tW~0;k^LBc>O9m7#Tv@>Y(P+9ftT5uPg)TvSK5f`o}7 zDUm~!E<9Jhw+~~9CK0tAk`Rd~@WA||gE)a#=AycjdArp6ViQuGTbdQw7xHKu#Wa$l zn3=oGr%BYJeck(l*Umq?2WQAu$!7>Y|F`GH5yE5VtNK~5?4b~3Nl|E>6)%g;FvUZ{?Wkm*`KWcoqB(O z-(1nVDX~R0yeHd5!**#h`u|6OL-0M#soZQPYBGShDAm)rOe8LBZU;Ma)6!Ikj&jy&XgAr0MOm-if||0Z?1Q3aAnr)EVu&J}Kq$XZ#IHdp zu=U5dG|FZ`U1O`d>a~^dZOlQg?-nTqv_Z9Yy=2j|ZS4bR&rK_9!Ion^05`5@I}?*N z(|4mSitlN3AWHFT#Jx%u8UdkieoAj9#7wD~SSVjhaaVVYnNz!bV7b*^nYT9Y=y~Sk zU@^$8u4^lfjQPEuOyMO*5*=R~Cb}0NN*)ob_8zRZQ5*p=u|sy&8ss05+OLouW|Koy z$iDoN%%ltuqSlTNiF(AL@Di46^^zj)A)!F`LxGyR@yJ2mfqw?s8h~~C#bnaHIr&Ib zb3xb(7)hMzy+RGUHlEOgE!KF4`4CV*7~D@uY2l}|X!$5XVcwFSH$@xJMVDXAIX31R zu2DcMW_pKzz@nvD6m8y;U9+T@r}mkZR>n>-bI`VFTfaF*Xm;69k~qqvjB}Gr0meEZ zYb+4+6YOv)h<23?Qa&pSFD-1s6s?%U;7r7b4EgADU`qhPFGXB2HahE49JwtCE-uPe z$R$aCi-)424n>*ki>BdwM8ysdiY-HGj$I{tOm?K3$Q~y*g~6V4%OEHBoM|S`?Gmi6 z_gS#Iregwe2`K%O!&29wjEv5H6CHT$3R4cqpXL%I`~rBj+w9}k@W;th9IfI>Fr%00 z1)4RPFKx~UsSr?!@1G&JWXMmw@)krl9|2!%D55&=_Z>z2lpxnVg4iFo+J#2v2S9l2$HUc(8Y%Yli$f z>ig$NM%e3um_Y19UF3^DDe1f!FFk?5j5#_P9{mUt8F>@{28J~%y}rwT6cFB!zn9@O z^Hk>Wl`r}-#5n9p?nz&e@xsH25N)wW-vp+s&%>8&CUIpfO~M`^#OoP`Lzv%^AQg_a zV&%uh(KeC$GQ~6lAdvO2QQ*@lAJ~eHHq9*n;m6jIHrv9)Uuh`5vtr7hO*auJN*b8Nf^PTkc(ksFJ??{-Nqz!u$)jVA%>knn@U^8cx{!%0b? z62Qkxu`e0rtnJIISfhO7qgM(H6TgUc8G!~8 z$EVgU#>}+&CY%ITHHHq$)RnN3m84}PqsAl<`uXbbz(u@InJH`vI;&pZaqjmnwYN16 zl|R8JLjRFxbMaxymQ$SjJEH~>+NfdFz_x1<3oOyW{X}(wS(tuJV1KMZs!7io_)7{4kbg z{NY%P89x(=5)YTwCAYf_1iPsK3=?RIR{z2||CfNXmL*%$%#4P7%c_{HQ+R%BYm4aG z`4@KX==J9qCg>#skLo2@nUP>(X#$z`Vk2#tzeOvFjn^JC`{g9H@x}glE-UbEKCu6J ztL_JA*7Ky6zLC7@C(Wm0Z&IGk&n-AOGu$pO!_(4#S@?xs-eo%wCBD~rkGS@ zYeL>{PP0&E@|P|K;oHxK*h$l1j%=WzLC1uMr`Xe5lM-sPe##*Rbg;f7nfF`sF5nRX z|1&gP2xO_2k$9^_82gS^?`&o4Gj<>XF~_W#voThQT@Syd``f&{9&$dzS6M!|Oo;)? z=5*LHy7<3+BE;w1p~($=n9l-__tyIqe9DDKHyO1FXcR6FAwpJ#1sGKB)r_5K7bU%M92jvdxYdK ze-*$c-q{nyfMnO3CWcoinJ;1`x}~I$ExBnndXu-q+2eDBBx9ohg5dMO6WWGiqU3hK zpo=Gpa&ua%pPw?^V1Ocg5!3maqgOSi3D$F$@wAp*$nUmtn{tb3E%<+2@boRHHk5x> zvX^(w$^0duUV;TQ6YNApEhs{+RK-Dx$7~RJVtE+q8f9yh6lr0;bF1Q4w#pJvQUE*U zG$Iu;p8b9m(K-&tu2FgQ7?xOA2NBcCAUOilUR~AMu>G(@Mppm%3TnScNJN79y~!t6 zN?qmwJumNRk>P06(EJmr`<~XIwTj{7`6qs1HcYW6sKT*y$AKq{Omd_R6v|4{ex+Tg z15o#p9-LdXj&v$Q8>&~;dNa(Og-$2jx)j0=-!f#)d?j`<1}VVXf7P#@SHoifaU|rf zX2BjC`el|qUurP9>acN3w#{g%clhK{R<*J9u2fLxp8a=0z1Y6~=Q*WG85y7VM*5!% zgzB?HNf|;A2M1`38I8%n*x1c(nK?EjAxRt@smP&*_??juudK2z#G;M(8o+uah1g(W z$(m|;BT-o8#&o3b7P|oCGaBXzrDyBlq~Hv;>SOpQ_=;B2t_~~tJ*uq3RTQ>bdDtrZ z$$)@LN1A;l*GoDx`<%@YbSF~6ux1h;W4o))}1H&Y$zyOl8z{B-(wgT(xKulxm(^#Dl=x#fwh z-0{n5PK3<7yw(ZJu*xt8qVo*i4`(ZyejeQQJYAgsgDD1Fa zQ%5cE&lQ+1g|Ev!)9>aF6=xgdK0$9zupjsnL3gI5?YOMR$VEo|`!}!kCyXP(B#^;% z=r00wn%xV+CMYhDcz?v@t`K(H7mCak&6LLubpr>o8YDywl&TI~zBJgEBq=yro5;qK zv!;ju7aP)3Gb_WmlhjrIN*3s0!K3|;B>d|eNhcn;65olAkB9cl=Sh;1u3btE2g}st z0n27N($Ho`Pe1zR6X$db&5*iv1?>8&aYso^SicCSh8!)pLA^Xgb2oI(I97|j;R~ol z9CuZpFBHB1u-N7hac-*7u_I8$Q7b#!TN`0YXP}nk!=^t z;WQd>qp=chI$yZ+_M7>$8(JrwMhw3_J^&yLIL@cju}O|m7|R5Ho57Do6H&{O)$Q!M z(rI~kqSpXN$~Vouxp9I@FZR>L87z|}fh5i*k{6DR-itG(R=6n5SMu~%;S|aP-icBY z)S#pVi)k6rcK0$L|7d~V5u8~n*RDQy`Nzm#`AdsEPkP2opI)1o+*GMonqpaR3$5-F zF3)7;uyd>fRl(8Z02j>!+n3po9TO>TC;@(-zl=|veFZ$2OIW;}Zllgf%QD}-q z-%h0m8F=}1CD>adrq;Vb5I138%4L?2#T)gQRw?c=#+pe&*OFBc{U&W#4_=>@up(0c z`PVZt!X25ho*L7(5ux=_Y0Gp0F?#pMOcJt@@~I)?=uVRMpQ4^?^88P&PRJxq_CBh) zNZD(#I+7h;bLc?{*_j>hz}n$Y|7$}TDWpz{QnZyYx)S>5Rg_|&p)wR?Cs7Vyy~nll zxgaxk{%qX(Q%2x(duAeDOqEru#-kY=6U+P6#Y#6&qy3Y5-8B(T9fLqsqD4iy!3IE> zh@tjzH6wih$a6S8k~flfxboq|5Q$RRqXPefLlJR3b1G+2=k{?-jsE?VQD>2v$pcwm zCg1^@)#Wpx-G3A0wDNW`h?e@!TXFM~00!=A|La~zIa>nUhPKAY>zQt65$nvTqIc&a z>h8*~$f%2m1%Wrn5~X$R_Q43rm*>hiq!3`-DYm+G#1 z4Sp1~dPfUN)vQ`=yS9wH=#0`Cy>>#QM!P)^cW637{kHmL9H0Emkm@NCOh*y~Dl4A4 zIyaFMGNe6aNBpBq8zK?nlMEcD8rb zr9197p7?#gRzQs3kfDwGY9>m)g^Wfr0x=3=a)Yob5E_aucp&o~OyZ(!m=Vzm5+oc; zIB#e|;*x-2A#phtZewM}Uyiq2B1;RzMK%ff^BhgV>f4uovjn2+67(MpoH_}T*W_Eq z^mh9jODN=8__f8Scx^t?*}wtA$VVms8>|m5L2OYVQ)tE_M%Z6ar>$gm3kL;yWdZ+d zc(#G&9e8=4_@sPI+D_<^?SP5>bS2!{_VY#q^R^hO!@=9{@&N*NDBR4Ek@fi~xx)vW!d_ zlOB+PwpZLx2q@muY`D{H88H>h8De&NXVDk*RM$FjbQ!^N4vM^^& zZ`Pz5^c5eaxjIm6z-+}fxU(HpyT?|4*rv{fPInWKg^1~)yU*p&^otw8sx;F(d!tuqnUgQk{yB8yhY<$8*_9e@m-n#smrA5;Z z{EBskl)={m@WgR)w**qM9+`(27KqwN(|@zHDOUL16`&O)2k6N8_rLlc$Tsir&Y1$J zYyC9@mCW~cSow>DCjqcC^^$88Z7x7Y1a4rbTGPs^Ew9)S* zNXI?JB}iZT$5SN6synN6=%xVJ&`NEr{6sMbv8+MhCxbRh;D_l9au8#1!#p}DRYzKv z=;C)%dhIeZ^3U$G7KAe)4aBm@`u3MIa=z{YfDzY^NbQ;V+4|amn5Mf7><4-Yv;pLL z2~nPS*TSy8aC5VQbmZxyF?fSSv{N)pz_yZk{jBz`OUm3TGOQe;>CN^aWpFHrC+SwR ztrw6=<5$4rO_E|q`-D84yedhFYYwP|Z+`yYjbCQhgUE@Rel2$nazgskpu@<A-{ zq2`jhR&)`CIts`!}yDrm|-DdsE;0(Uri zrAmYwsOh668c>w3gJ>gW%MMy4>CT8X80(Yv^fnUj35f{qbLRYR%Od_18w&O=z9Ba{bqVi68r3Y zA@CiSz-o3kPR^WQmC5+CbyF{0x*kP&sFTwBD)#Tgw(8`MS8|759a_gi&BrztUe#xb zWwqGBC%LTTE@vk23rdo+hql4)o404-X$510pysN7fcv?#`4)P!E_t%X zHR+wzr%vs0;<`ON8I?zrH);JtNh`wpF3y84qg~}iw`(}aXnvSFv95VROGUC=8WHdG z!SUUWuhC2~qw=3&A3;S)1~vET<&vLIT$ zl!73I3n1rl?>dfuy6guf;j6e z-)TY#S-RAPzOS=;qPF%D_FvvbOot|L0F~y|(=18>71CbO1H*F;AI_EdAn@7YJuXWqBs?MeoVI(Rp*|kc}ZhCyY zguy{k`Omd0Nw&suk8v!SxDbveCR*w8w&;?U#Vi%W^CD-5VdL~cU?uYo&Jd&s1y-~e zP0`P(1$7Iii18C{)>)(gMGtrK&>W%qq8x}IrH{NkKY3uki+i7olmRG8P>oSLvGa$} z$9a4coH1YYRd0x>nw!M1SEOeYT)tEy-Y?PC7pkYgADSRuE-u{1%cWuYxm9pZ1ns8S zX_tIzdaI_e)XikdWAsM|FhS~-L`be7H-!?+IH8{0z5L0Xy8?^=$>nGA=x;z00?f3! zh>S#99xU$867Eos4i?l{od$P1m%p&Tu(*0@C@;u{hozR*!4^VVNFj83w2HkNIIAnr z?p0(?O$5;@#$Ib3ZX}Pq8u)n5`1Aft&QN3h-ljWH-2gcWr$LyRD$|=Mz?(S{xWnmX zpPhf6-cdcKdAJRY$qz~~G2IpwT|(e9|94*J&*W5=H`NvC+VwWwhTuPO;^l@HxIv-0fjh^mcins_SVe! z`YUA*;<%p$cQQ7J7NPya%yQ)_-5Ca@7FJp(NBF64pRoalZ5;01;kIPK`bO=uKU2Si z$LIO(pK>P~T7h;E)%H)|$ZOF|JUJaIOa#>rJEdq>XcE>cff*Vq-HC49V%~% z?v_*Hp>)`YT`f2(Oz%W!6s3?o$6lt|_%$(bzVIHtj6(BoU-;R+3Fe~!nRON%oxg~v_?0lK}$*@i>jiL3_`u8(TRO^b-XhJ4? z6aI_DsWh;444P#F38^m6t$`Kp2Lowu|8t{ZE1b{C^Dq?z!WvE9dv8FydlME6FLB2s zX$W>W*`xg?sB4#!Q-dqifFi-j+DPPF@q<>oO2)n$-CYaYKzB?6k0jW|sr|TIz#Fac$B0ob(j2$w-4XwtN6RO2#)_BdrGGV zE#tk979O@{{NHM|ldP|^ih*tfV-+t%@{Wp^qJPNc2(7pr%hV7*CaHVlC!!ljUMW#h zEgg=tkz#$37^j$E&5LV)%>h=-`SXtakeG$ZG|pzwVwAnvIph*~O8&B#ADn88ZT3fRhl= zw8nk3m(PrKD;l|Tl=74Cg_x~h7rEDr*B9ST!6Y=?*PB(Y-!c`(S*KIoic3W3drHY- zV!=XzANa=OU#x^C`pI^ZP;!JwAz0mjw59KcI;)6HooW}n`;%yhRo8cgv1&$V znlP|ud>i2px0xap+8OO;ek+Q05vCu!d4E{6Y3@DNj30K6O$>*ECJLA5DF}GOeOq?b<}r!x*9)fy;~?l?XuCcq}4?4p`wKc(Gg0W6C0s@D&ATv4ra zXf#E-G@qt81?QY`rcPkg@{kU23hHXTHaN9#werDMT@<|+Flr#v2v5I6nn9=lRO=?! zT#17TtpXY-v~*q`ZMtgB^N8R>i;xP46XF~P}mXN zD!mTCmV_PlM}3b?I;W5 zEgDYGSr$x)jR}KxjI>5E-hVcBlYxk+!y!)5KH#h;2(xm~{np^|0B9t_DGzK|L31*Y zUvj{eYBh%0U+h*Ph~9vo(FfH$DZxqVT3Pk8dtO0lv{9Ktg?Omk7K{64KL*&w=L+-b z&`}^QIvr|?mupU{!}!T!!8z{f&b)wKS~a#}HH8<+e7Hcoq+NByXDl1RuU0GJ39p7~ zw5_sB$O21cxQ1HW^lIL@>mf4221vHx;o1=LmP*0XsgTFnMDsHPLXg#Ey2991y`u8v z0|?%t0O}9FXGQI)Aff#5OG|`fqh4pbjS5J0tZ{a}g+Z0Nf|q}s=>W+F+XFV#*Np!rMWCIHKVph`oiKkRX$O3C8TuY{?X%FX*2~sh=KDkH6rTLwpAO-bJYmF2VJ8?sU`QOW5SndWc z$7$hC+$Hs};sBpO95WPXE8TMMzgGQ)WXk?uG0o}aPLFH%$IK4dKmeZa> z&s$6_z!kecmj}^Nly_?hRfGg_zn{d>{(wnS^*5GqZq6Qx)P#dGB9OS%QP3B-$%hg* zrj;%g=kr8Nn?eiyH6l1VR=T~2!k<&~%?_zq+ zcLgx;h_@J-o+9%t)&LobJ?AaGK4N^PIy_yC>&LYdo!y){wcSnDTS480Pn_6a8~k)Sk)jeUWmf@F)F4T7>fjDFuqZxF z8^w%}K7u;H5`#%GB&Ew)o|}jwEn{NBixCb&LBk3WSUNsXE5peEt<6eE5cXovi<2r5 z-XfqVNQdo!gMa3WT^2r`1nfgu^Oyt@qA!nT^~{^2OVq@E0LO54;{wt#zZR309;$xO z$`#Z(sXqImSoSVRzPhc}>mYMz8#)YTWjL_voJF!ednvLZ;C7gqb$p9uTo{XmQ@P zr`(6}LyZHWSh3o@2D+vIJk!g#-r8HB zTZTwgq~R-|dMgR}V{av`phQl}%bs1%H(?Rw`XMQxg($}FGr34x3E|1A0pOAT@Ah=bVCML1oM zs|)4SZ)sw5bJcjZ0I|euim|2|HO&o6-kKH%xBgIN7UX_h*F66m@_C+Oie z=@Eoihd4yL&olj^6p*IS{hqx8a!7r;<<`;Zf*)PjbQJdQhRbgn%U-%PTH0N&z;-jX!m!+pLw*!^-<^sFmy;uT@PWuaKrMY z_y~E=oqx$b;Y^~yHbhYcgxC0o#hbqaSs>ZS#uVH<8VMj|>8M$&y-MyGpTpR2U^t=_ zXY;?Fn=s}k{-(Lj;2!K>IJ8x;h5q0|0*KYArLASz$mvE}ln`}sn8*rbrjmIL)4kv#E( z**gc>?tfsC>~$n)6bWucrUC=swhbwTZ8;DKzkj(K4ANgz18^^y0yWrLj=P+Qe~jY? zd_8Gya;V&)?|+wfk{>qlp7G~~013@jlwc*55Oc96(#Jo4s?qOlCZK&Pbqjr%g_ZLB zndCDSxZ|?davt(>YSOWFSZOq2y*ytnAEY#ggB-9FSPpCs{( zeAHXpM@S3b@|zi+BSiXkGte_v*8vAl5W#bf`%vZFvbfg7I4pk z@e41GHCZ*W1)S3N{-ieehda8Mc#18^TI^MPV@OSyk zsK?9_GxtcRKpPC~g73-@N%%5~W>@aB5s=Qyr4EfK zO1YLsVXv1Yzl@a9Ih!Rg8pC{D(0D#yd>;2d0TTFix*N-yYHU6eFwSEJK9UB?5ncsC zJPS~QS@Iko>WAP4qY7Bt5R=dv0K^4TnyQ#W`f8L~hwi2S|$)}c{)e7j6 zFk+y}niT+80o2~XHfFpoPziv-9&}Y*8tNstkaxfqjvJuY(?2X?FG(TndJ-1O{5X%< zt?$OOrt-m1{C&0Y?Az7y3aamo^rorks(Ow!yZb^O304rfWY`~ire%ZD_?O2wlZRJ~ z2yu&FtSg>=)>Up69tzlv6EWL{*xL@6s)fuhb+LE>y3S&t*8h&a=!2nF366!6$YhZt zAS})S;QqtG!DMfwHbKqno==!55BHc0Nor#x3wb;-Jet=j1@B2gU2P*o#N%r=ARXI; zy}#dWHP&2=PnX6MekXIgK__Duh`Dx0`4{D9a{3~)=wpi4q~xntk_+_<3v{9PvTgrg z(98fZ^D|j&4H=gSK?v&`Vb-sRy4JiH+Qjwr%Y|YrR@CSw4 zwuUzbJxb5!q1NBe(f3+Bj~6JtJ?pcc;*+|bG)F6ajPEsCUPF2@@J(>F387ZhiCX;Q zm8j;U9q(V3loaH-%!>qi4*rm%c@iRcy&!*l!AmzLHTB1Z*tl~SbFQ;Ysju8gJYA%q z`y%UGdw1-$@(RVoIj^ydkYn{Lf>=3`s=NOLU8fV`(_o+x(HQ$j%tpF9*w16^&(6-y zL4H}SuUACxyR?|&p|*S`IH7aeY?`Y5euHn9ie-b%3~pxAlm3DdD%*to)bsM7_znzb zyiLMQx=%PgFMdAZTa~DfEJMZ%*O-GCXab8y=_y)dZq=f$KK1z8vSVFwX~&m)tR^`= zFVijj!@=MmS(r|A@PXr>2MRZCte*R@c5ZL+?ZMfH8*dM894w{om+F3FvMXgq2BLQX zRCr{&;o&y*df51OSj2{;|AamL?n>oEK>@Q1Z!bURTVef2<&1p9-H$z}Y}g+AwO{$b z+V?{lU3x<3_@$U6yNlkLE|)5l<+U9io-!|UmfWkfd17m5Px5{~MWILWf|a5DJNK|2 z{GZ=Rw+}XC&g|{&Ils8m9sli=)x)6pw3Qgs3S$>C;?n%7wJsUQbNel_=X-qU_BIAC zb@7`#bqW8X*jf8YS@97~Ldm;W(^A>s-T|=-l;`$6h#$g_vTV?3+n8kg&Q@wpA9Pfa zQ_K|AA=xcc_@g`iRKj!LHRBd{!(TPDJ-3*C`rH|vS^my}6we~Fc-(O!# zDmGmBN8By}7w1i@smL&JFdoU|F}Ams?!Me z@mhN(m5K|Qx~J4$Vt=)HdV%WTe(b#f&+_E>N4pQ#$M-JojrQ!1P7?C+^6q~zdT{E( zhdq>*mKGD1DNMB%y!3k`Z}(X;dV@=ZcP2RwFos4(J1|V)w}AKkn6?09*uviCoj+1X z5)%{m<|7W~u>}EILdGTw>(v3BX{-iJLGiKyM}+N{ovDOr1hp7cd0py8^j|#B zqB>XSoD^deep3PSDU4(7tyhbUsQsi=6PB@4tM6`iJE!6pR=;9EENSK!snCA+dq=vl zh=&h!F2d~*R!~qd|3~2uiL1f{m-72*in^-(t-ExIpD1z1AL` zsh8KC{35FMz5Mj=?oh$&$Mw?+GV+DL@5jDKy@hozbL$J*`CNIieqY5zUXLajfY+Q-#v3|&hHKT(Q0no~KYwbro55hQMb`JnWNb7AiO{r5pxE+= zpT}s))fgMTZl-h}^luxRR;>o>q*u>!dk25L?O7-%d)s3fnX&*>hr&ez##5xL?%(TJ zJg@1Ic$vv>mAq!6vWswcO4;HS{+~POetDRL7@WcJI30@tbL-r-725>I7aY|ZJhj~N}^!wQrK*!+NhVWq0HR9xsd=x zx=%i~b@rzECR#?CaosBFT*!~2AtZF#V1$p=+nZX2X1%7^_-giK;KU8h^+EGe%)2=KhZ@-yg*s1Y{ccKkJu1 z#K6%?w9&o?1IWo?I^z~w$Kc>^duqvjUh6E@^{UCFlD>&FQAUmT556wn!FV#32XqXq^y0U5h7lh|5Ls-A6k4cxBv2((0udJ1`QWA$}OU4T$`psp}0i&cIhVEfZ1EA zG1GH%w&(LR)hAoeU2{-q{U`O??Z=u*bh7Y!2j-hPk`Lc+=w#?*Ub|X!={%KVrGVa} z(zt8nu-AX<+lkc4G<7@py;Bvhu95Gu6pDf^MelWR#*w7#e2GgLq3d~PxM3BqSU<6q z7BXH@33zOs#epqQf^Da@T6L?^@n2gn1I?} zOGo&K2R>`-C%^GuYW_cLy>(QS-y1!ONFxmb0s=~hAfS{IqX;ty!blA%A|N6qjFfw9{m$s;`@47Db^p+{24~@W&U?=D>}T)&oHML9>WhP?Q8^7U zKNRwcK=_7xjbv3vu~ascsSvevz+lWHWbp2D`#RLMHamG{-uqgEqpw~%O%Kh2xg6xk zEK8X(A=4r4kU|yC5UgafTPRmfx+J4na^TWhF>r#0&ztJ1hHuJC7PHJ;BSlvfP}krv zx62#LfgSz*y$tJWo@_)M3Z{AGS^3wZDruuQi8x@yL00`WCa5+YWd)Jc+FE0m(<4g~W0))H8 zyj7K`E70ci3sfL|`sc149Nfn-I*u}OUhF>yr_Nk!1{ZL`?4Im)(E<0GQZ1Pqvw(D81-Y7mWag~+gF8kiMxwmbM&uni@#`|eg$!9l zd-+eM!sNy0C*kAyq#0EbQqb?D32s^^cbzR5dtrNnrGue*W1Lf%WCF1JBj}KfLSnP6jj9^5WFKl$b-s}05a2*f+wK9@YF<%oM5{}Ec{`A20XGePG;~xijWQt|s zY+?1)l5GCCd{(iWF(}ylM|yEW9!|#It_YdooDRa6?ae+XA7hChKa>|1s05K*2RMR) zf+clzffb4#l)(!}A+n)uvL}j{pRw5E#5m{BV|(WG@aPNcF;)7CgP6=p78SjCt^V)i zFggM%hQ!>eVnt5~R6a{(D(r~_g!4sH;zlady;@-@^mpaw=J-nT)On)@PaB5vB77b+ zF&<%tFv+-JT1=82;Tp3wO9ox_lbcmbcW;_xMLUC))GPl{*q_7by@fx&IB4Ia?)B8)`HfQe<3(pELN^iFE?<{?n_MKuFTzV$EpnvLJfBCS zN2C`fYpv;JsLt3i6ux8#5m(o5h*L)>^5FNQa(v{!JLztXy|)SVp4}T2HhEAitd;S~ z;L~dpPAeZxKTpL*Cx|G&)(Nf$k)HsdOcXq(G9D$n_Vy!bl{5C zxoErGk;R(@!T#_lF6B6`Bjpf;B)zjTkAr?n$PT#uwl~y`d1y5fOx7h|$1wdbo0Dvt zd7HD~CcFGQTz!&%K{oIAy>RcE*#pa_`@;QXa49X+$IUDXS?-RE{ z<*A|3u2fJCMpcsOdKu&7Q|s^|khZISKUMXb{3MrTfjL-`#Gqm@2bt+>%Mv4@pI< zq?O*UXR%u_CnnEq)7YBVKP?f-Mc-l-vdj_vf_q|fIdOS^=8wuud;i5o|DLz(k$2FO z+ZU}yN2C+opi3_0@KV`cV!L=rxG9f8vKT;OQD=cvmr5!_Tj-zen zM8QSKk7T!7eMtp`gk%qzW*%$3zGI{En~^?p`9c}h(IQabWL(z&PKaHItS;i3)mGEy zfMn;Wa0X8=i$P3=8kH|{v#8Lx1Cy}X_#FiC3g48J1YX!9LmlgsXqyzPVDI{`w5D~H zw_L%tBrLqwbbO+MbI1BmZcv-f=hlybOzhGNi8Ci>D$|FpB=WXgH$7Mrz;7raAC0Ci zEuHVRG+FkQSMn?iQAIf!+XF-k2?R2x42Bf1*ibin__`$voFrYYRGe4uu*Zm&Zo-wZ zV>FO*ym_+_670Ka{6t-2Kv{K7xPj(i%P9_CdS{)PPm7==G^S!8u6p4J6gXrTiz#Oj z`i&prjDWWqt?2Pb@%Tr|8MJY0y)gvbXMBz-ETqD_0+t+Bn)$mBj|yi_1QYE6S7lk; z(1E>Bi132RV^`?no8QgOXTVv?dg12kns7NQdqi=AOr5Q|M0#mC_eB=#?JTw++KQSGwL$#sXyL_jErc48*lsXow#sAp`Q1n_3H=;Caz@SmW9H;-BnH)jUo#~Rzi)iyW2GttY3 z)zY{5$+xE1Mji^_E(n%-&m{e*e-&@BH%Qqjsh|!bli`i>ZO5FYzIKC7umnpYWPC(3 zM98g}vt5pQ;ZtXLgFLATp9BtHYMt!5Rn>4{K@g*AfU9a_+0(MYP^j+kw<*kn;@-2f z$)`h|LYJ}F=;uJ+kJK>;a9&vZTp+misIiY~VOE zy0X@=Cjs>$MD4~VYJRtaY0FxLd-F%}CeKALr=neV+Xz{V6RTpwm8key*0s4fjOD6m z2DYC_SjP6O$>40eS=VSbNn1H`;cj*Q{F+6UXulC65&)-B5~ldwc!$$rD9jp8IH`Sl z7tkW~httcqd|sGvni{_TwBTiZgV`*!M??jSJmE7qtzZ}l$d?5)2##7{@oJM^vQC^hf97)};^mekW)W z%>wXuYNTsYlXCO~Ic+eg^Tj6|q25BfTvN1Oq^rnH{Jkr{nmN2<6M^zPiSsa#T-xt; z1yD?#Q8||bK**TBLl8_^2?BV+7)-Vqji}^km0D8`&_AxAnVl_!N7FLd{51-$zan4E zN*fNLzw?Jex$EgNr>QA}!z~xfD_QT|@4TV9DwI;e3`_tc--4;r122!?_y8Y8&rHZe@Wca_;0_H-xw(*f0;b7LWRdT zI$}3OTENSH&R|k#qk*2{B)K{o^Sr3(E_z(`Q!_iI1T(q35V6zT*+-tY+P_{UYrowz z<@hrH&HTjiRkh8gsY7_Gru-of%2jUB)VY6r6Eb`^+%;+z;ee^H6=W!y=x)_d)E|5Gz;erF9a|X5{MSBJiYS+rXgWd(J#m^^5X>!O zF&FgOzjP4puXpr`=CqeUtOlbIR(tSPMVCl7fpN(>`A{N~_Ni!ZOi^$yIEu5P4K8FX z*84jt`e|c%cOZTAhYYE05Iay6i&5Wn{leLzni>2mLh4IT<=YPurTZi+KQSs;=orAZ zPL6E#0e*LK7k#bLYLH3`^LG`8Wszs{Awn%9{s9{Wi`C#?$+5J< z){Xmiq}P50xwC~WoDFr`pEkqdNAT1&%WDH6&Blf|Ixqp&F57DA;$#f{1zJ(xR=B-T zxi*Wmwx?6^>DDeObn)(k$(B8vq@w)Zdc7~P_#!`wRFsg+uXwwsWH`%YULuEwFITMD7Lw%vbmf`!|J^^+-e(zXS?o6le5e>9#96IYt3t<>b7O;y% z1s4E9aZVolPG8g;g8U15yPXWx<6M|71;$>Rl=P(qn?_rL1&~!4gdTyi<~w#x{^I|x ztkOgSw|KtIpp7JWlSOu}s-*SWdV>xd>U!l7L9V7NxOlM2qQ^r~Nr_z&%t%`Uc<1xQ zi;0k0jqRwUGY$$&o>W)sQ#~T~l`Qr)i0n4#m#v$* zYK@0U?PQ>?fk!t6JaUNgudmtWLw}c)pgJ3IRJ&x$$-97(5RTyQWz?Mbh$7-Bj@oA( zMPr8N<$W@}%H8AdypWUx$gc>JU%$JFaph&L`t5f%P4AXhfV`96MfoWJ>-bqoxk-Ns*002@6YcU^h+fBh1H)- zQah`ci1vMfQ}N|q)3Maq3QDKDstri6nJeNmgxg07d5 znq@c^Lw133Snj8*e&AXs{*)M-8uCXPBHRD=w+`5NyglBB(I!W6)`tdSeWlVCTG9g7 z12j+d^a= zQjxSAU*3%57hp&9XR|kXhD+kyJ>`}&j~Gc3Prp1B_V zTgDYb!p_l$h?ZtoSjsKuB%g?wYn0}#zT2a83yQv3H__c?YZ6-`&8tfTmPqebe|(4@ z$G;@nsZ$-b-z5FxcvA0CxqYVHW35O$$k&o_3xiRQiQ~FZ{ET3?*N;N48Z(F_Ybx>T ztabF*+xPbyL`GFR8%|Z8=mLYhlrg`y5y-{$If?^ci(zel_h=HBNAsDRrT2QmAOovB zdy_lIjvYbEbj1d`yN9RK1_50!nIk(yddV78m8xh&6X-Xd!qU}@-#)w(JVE8qudI?q zrku2x%=#?-BO*B>=7g8^_m5RhcHEmzF}*>T9p^;IPOXSY~H= zc<{~hF^;JPqbg}FwAo2FJyWOpL=RIx-@8r|FgT!cwUsS(5J{8eoaSs?wr$f2MjG-R z)Ku4`dK*)+|Ao^;`+B5X>rx@FT`JLSd0M`FH8t9hZoTJHcFnFrg^8=^xC~I;i;n9o zBcR+`I_tm2d#N%2cvqeRWN$3mbOF7t0AR1M+A9SXLZ>PqRC(TdxbVYC@$QN*g^IuJ z=|cU1RBT}7fr!>Av3lmp{>$tkuTn99R_fhM2J>rjH~ZRyj={yiY(C93(n9ux+^a38 zGv^0&omW2WMWiftdYpAS?|!2{#xelWSbfza-0xx-`O?3n*P7_lLgM}sxn=hi*NE`m z5pr}iO?C|;_eAf12!e4^S2GBrK+6YE^53G}vuOteHx^HT*jKrFm!toig;I#UscS$* z2!x5t`J0n955Een5~|R9E2giCy9LX_zBY+_MK@Fr^cHzGqNq&jXjHCkx;4Xi_Q%sV zvc~qDOXGb(&c>f{{WWkcnX>>%I~TWqr{LVxyjdt+PON*`MygNmDWSbO8>hFS4?J9z zc|M5Kf35oY#BzG2G|g$cq0<~b_78#g70734>uasTuiV^{fc}!sQ@gM{cVM@Du^lWv zJv-63IdKH8x}2gpZA|vrg!;Z^5bL}5*fW(!a9kpi5`YA-*{O^5^_Qapl^-#&8ykk^MMc>@NeS_>rxB{OFQts9?) zT(m9qjsTy^iIpdpg%ydQ+{6rj)@v^zO4j7|%gz;)4L$L&h%k!!@+VD9>XD!72VT{1 z35fwv=6HMha{k6DV<;8#w{3Tecc_K>Z(>4XL;6Fma+4PE>sq}EpxP0c^w_2M_%d@+ zI5RKZxFC(gaE;)@X_bfcWnU9!dk1^&QVFid@t&#sag0Y?%8`G{EZ}o8ExLdz7`k_c z=@(5>bw1x8J3jTe+{Uav^N0tMB9>y@4Qx6JeEjpJ*qQC{EhzbRN zyJrNtqgS6LKP!#PDvh^>3IF{7Uu5;2`b^?%q{2Q=kFLIS-<8<%fmS^Udh*HK-5yu zFBm}=FJ2T9ho`)t{^toV5y_;r>;u!Bz1NW4;$P=;Vb7aOBGIamuChUjNZ^WP~;w^@&gaK?%Z7Jw*zxgBv-nT)Mxhj(Hm$$=h^2m3l1 zDmy|?{AvD5mAPrni4?lHeBKw+P&ik`)yM@l}papJ>Zd~Vy@Dhaio`AtO0WY11M z>^>-##Ip4rz1K?pM-wD@g$JwX~YsU`3M0H4o zQ5!G<0&;G@`?k#K@||L%n^=CbR)mOGFD7;b3XwV5le%m=wAs6e(Q@9-qMN=P!;Hu5m_rWd-VOaGSe=&BGIK>Jm(gA$-L?&)(6l`|295C>JfB@+cC z8amnp&T4BDEJ|g2nPqgs=|g$8D|^uiuBj`IozlC zIKH?=vJ>?DJNGDlcn90mS-WTXVxE~+Q$g!ZBrWRCP|gio4@c1<9#ps2nvnIS1eJXIX)s?`*9)L^|6hGfYg#FZ^V$0U7Le%5{e+nRyMQSD0>p@+5a0XJ zsNvTpQ1WTkJT24eQy?p2 zh181vZf`?BKf$rQb34PjEIT=I;(^hUdp*wR4xd8fkjfBi>afQ$zoxm&=SLdfEs@}W zYm;0<&T3-r7~sxsR?Rf7n-Ge#>gnl)+BxKOi}5q6#+x2X$w8si_!6Y(==q%ZCAUbk z?9e)rU;n?Wt zer-a9+b1|i8h5z9RGy1nA|pwFB2V*azVWs17Ka2WTq%;WXD^^Yno;@u0RMSm1#r(~ zRX+B7mB+-s6!-o211()WFPxsMx|?|N4~v37cvR@J6c7B7W*-GCG7kxla&VZJJNK&x zV={(6Z<()YPESlo@1d{xJ;I5sl@5Db*s##AARHfkt+V&$28)_Tv_u#YKuZeG_FIq2 z6XM>7hoQx<$}%RZHy#(FlMLP6-M?DaMVR~xiZ5BfYG1JEOBmyR+(Q60U~3y^sU2tiObkRa;mo>XiR9^&OY+_e>6<7OjXax zJC{MfLycf_$#0KN#$#%4j@`%d6?r9F!QxoH;>~aeD86~JoOU5zC1IIV&RXdlLD_U| z(9wLZ9*|9%XBopn=hCEK5<>fEmi?0|x8x%UH#-YEXU%kFSSa1LwDV_GIIdX=K zX2*}rye9yY6IF>U8`;rf8&|2Y!XD@KX$DLT&na9|;uRG_2Vkth;Wu1Se z5f8$gy~)j_t9$?thNU(+ zuQk@h>@uZH%_nX0Lga2heLgx?=A3nyS5?=H3AEU#Z>V(ph1ijG3R2G)ZK{sz1awjJ z5)WtD4Dqm$Xr8}k~ppEhLdpaaoKGGO5R3@%Ew?{RY=&BrS_&2$O`Evd^wsAc4OUR4xVeT388F=y;;TGd zu6H-JF@7&8c2_9=n>+yZc#TctQ@EV|k1A5wbPliez*G=m_O1LM?Q5KJxp1#PtsnH* z>OYqpET69YGbDRH^a0#du>?%;f807fz~$U?u8n9{01l3baR$YfuqcUK_CmS|BmH5_ z(TyIVRovq~HRd)&^WY@MGM+KS1zJ}ULxUI20e^;!8Wb1Z4{1#iN_IQ}P$$m0jiuwi z68LQ>Ne70+^M$K^SWJAE)E>O-;T=k%CuISf>UM*EC&SpU>yvt&n-i9?>dPMWZ^&v8 zLc-P$9vFc=YBLr4RkW+7R+L+4(>>U_dn8FxIwKLJQ-wf$8?M@eeu`t86ucIP2Lyy5(5dGjnCr_6V71$4oi&=`&ni}H2rieZB zi=LD#YdF*3M!%bl7wb(I?Tu9?-0ku|T08ixbXbPTe65YL{<{BA-idl`L1^*NV%k6( zvo#i9S)&Kr4nTW&ls)$n`H#*>Lk;v`s5zM-KTe#%3DIHg`Q#~mn9`!nX=<=~IvBm3 zl?aOL$j!%T#Cnu_E0P$8Q0WOiKAsPPgfw)8fACHA1=YXp-+rDN-*5ryQe3d^t)ZDK zoa{E&k<=&$Hk`R;T!isTj=Q3JLZbgi>1J(@eQgXlaWs+j$dh&UWPe?5isjspWsst> z5Xe@$k7WNmI@7xxZ9*QEh|he$>?|-bF=2Z?n#>=?mgUd*6VWR2@ec)Fb+NF`)a+W= z$lpkab5We@r|*|Gz}oV(#7<@6|KS)aIdudsFsXFv5E`o;o`1o865*9zTE40Jv%jAr zW|OevV9ercrA!Jlo2fzP6j<+p^}--gw_J#hUg4Be2&f+bpPU2TxghtI*WQ2^JvnV8 zSgY7jRC%CHgFCM_xbD-QmOc>}r$QRgrKY)goV5GKoNJbRr}N?$>jFJM#m6%jRhPj= zXWxt#v8v@mO9(ir&Hijv_B`iU)ML3Hyzi|e9d+6d;NaC|ti|zo)aG2vrD1wV>MUoz z^-Zg~Yps9~Fxg1`)a>#$%T6Bi`R^TKygB8|{A>Q>)K#g&d;*;FsN_=dJmC^(+fnr! z%G@L?9Gi8He?Sn2@~S~zemzB#Gy6q1nga(Hzce@ZD-}TK>du447n#Y6_d?j}psUJ#y-McWZTH%}t~6X? z(=skDY9%j9PJGCbCJgXD+dq$h$y8%t!#LyLxUOe$pvUR}{Hj)iixSzSV<2X;W2M*)cvo4rT4gduK1y7QfuoY{B#SK%3>9FAK0I zj?8CgA9CDte%Js0#|bHOlRLdHe8ls@QCB1`hSt>6K6=Ex6(;o3q~cMhIqk{uu|c1p zLMBu$PcSV!vSS{{CzWZ`CI{MFleLmbv7d)n{g!A1t$D*7bsy9#9g>lhe+I*ZHNeln zzffGhByIg|_9F;O3VC0=5r2;cdMlq5@zo#W@Ydt&2imTVaY+*4|FLlz<41U-(YxSW zV6$ZH*xUN(w(4nX$=-WO9DfQT|MIjwVE*MB{##dK>s-% zfVy!kcs6a|qmih$7Pb^$KWM9$b*XO|F8soz#ye~iLHR5KAPz!6zZoZ)xJgO|5%*wf z>o-Uft`1(ue}1pm@G^Vhda!*+sR-@(Y~q`#*0w7t&1(%4arNufK%1SIn4ncqA6s@+ zGT*(*dNSabyz?dL0XsgK2QvqjLsy6I^&LbSQZpC9t;s||bT_#Ng8>r~lc0XqA5g!< z1L?A1e|sqCO#NT3Ct`PUFMFo-21pWcqHu|3#z15UdK7*qX}e0w0jI`-UZ{24=iJ23n}a0$4Y6}54pm5i4oh_B>*oXL_gJVW7QPW; zUphG8&jG=Oc$GX(+&^3f@&{#ef;<6XnwPV4zh^oStUGpOXU{1) zY8Tin**PK3rT;sgS|LD{nVQG*eh6w9d<2MT+SMXU(=Ky@M#mgj0kN(s8Xdj09({I? z9YT+=l#A6Ag4gx8W}d(xBesOk3~vB>Yn)9U*5YKyqM8W#Jo+>hjAS|kD>HAZmi`Au z3xRRZ*0@<=eT4$fwGbp1poQ;hjRx{^_g=sp2jLYc?QCv8J(?L;5ilDOi2}td*_*it z_kp9k{v2?UK@K*ta5<98YQOSb-YjHUT;km`JRR>@;lxYUVltp~=~vea3%4!FO~M z#km3eIo8+gySl#kkeJBvsI{iC=v;;7^6+;C8~2^SwlgUX^VHyK7M%x%25k)qlU@4B zujtD3%O;g|M~-$eHla+Ru9vQN9?WG(vMl?WMQfuDwi~3&Vm@8V;lx0y?#ymE6ZSoB zK4-mX^Kd#kl-|axWo@zNEjfufPn1{J_*pz0H;C=eG_KfpFG*oi?taSO0&6Lz~kuFo*;&2*!~e z^x)qJjDGkTV1LF;cH`9Vq`^ov3%!`A7IjSmUbbsj2`pTbEdsl!KZSE>)jL~x-LIM_ z^$fpOOJ%GU69rv(pQzm-7RV>gQbi;MDpTTEv-l`AxP>2*oEOiSE%sk?10oJoiM!H9 z)jycVxE6i6h&Xih8W{-d9n$&qbps428j#G7QM15B*{)pWJH%=CULI&RL4V6lB$1dHiT(YN}V zDDfL0-JqRAy8*k265<5)qK#p<91$+38stS{#`k*?ouu^e(U@^?5x9=uU2+qF3`9*6 zgE}ERLLxN*Z@*J7a=)o$aN`06B3W3+75e`DqXwZ(kw(LYgi$pV!Pu(C9+^7u$wEscnJ%+r-diXIbGI~Ff~L%-X@>BHg~h5*=%PaeF3i6C z+9CghXleR|nI_=j)B{uQbT_8}+$$T$&cdJ_V}V8}e0galcX$QSKi-#iPi za=w$b&DC)AGJ!Yu@hqGOKVtg~QD7d0B5_;xjXSm^G88x`5v*dQnb>#fLz$?j>JRxL zP{70YD346RG}e?(od;p$Vhcg11B$Qda`{e~Gn5(MA^fA^jh|55d7c;dg^tg`?DQ8z z$Y^ZyO43|8j4^Z}{#Z5bvJQs)r%Z8$G!w7KzPH!7Pg*>u2eY=rg^bs9oXlL#GJXI8 z6;ila2Pouhxk9NHw8Gs5j`xhMv=85bR|*Pkdr|H8@grt{W5!as6M(|QjK|KnnfQ4e z|7JSdVv+`HbFypp6PT0V3DLAsrdcUrkEtyMHBG;chCdFEa)+oR4zib^tZUDK=;;XG zIE=F6;Z=ie9J<&C<>0qXP;ZXEu$dO{{|esqELIj3a5U)?%#k2e$g?BwE6fBRvk@ct zm{$_K)r|>M3Rj>Uc|e@i)~IbveyrZSKNU3BKC@l*Elw%x#PM>|a_fH2y^ErP?W+67zPm4=5ytb>)NkwKX6j znT1=Fm%KLl4)eZ`q)@t2JxEDFU_~2&dWgZ)4=iSNu>YFw<_Rt+JIUmLdr6Q0%Ybv* zYW7bk>(=wTHr19**aaW+sjwjt!j!ILxB7vVcl~*mNHk=ORkmr|0u-*!7C_1(neDKC zqQ&4tE3vL*qCgFWS?M8@%ctVL+g?W79A7tdUZQ)FL3O$0acl&S-b5J7kZ|HB?X;*o zn^D;|&)inEH*Bi!)Enb&PkT{A|K)M`T;?p0b-G{~uNq*4pgjvvSakc}S{eKz*$%I6 z{3RPHtXkK=o=!5rhTYZiGNX(GAnHn?nL#CK>ugCv-um^9H`OOxW&p1C4uYWtB7(pj z{4|%X8+O3OnMI(?Vp}DbXKVuxH|13P&@M9+&=pPx82ug+6-~zSyoB$4Br1llOIy`6 z6o2V@blfAeDChkHECdpL!lNa_h27a4r=}XwwNxDvpCUFwvg-niXn33Lthh~V;xmF< ze!Ixq*u>kriC>+(kSHeWYlnji%g=s=o-b1~rd9^Ie7Lmimx z4GPC;YIJ-Z3~iAF;*SLUf0JVcCWmW&j_i4;$lvY4$uFi|nWMAL!`HhtOc}&iKI&lN zJ4I1zBsF8B5?u%O%xXvYZvEpKbHOLl4E@TryKKe(RewOju(di{J`@1>m*-ix@U z8(FUkuCr%aXhr9P1(F(^l`Al{IL-czC#>h)RQ|_PcvZ5I8A5@Z_zUD#l$@^r`w(Zt zlHp+TPUpaFY!YivIikT?bT%{>uHV1zv2Jr-c-xJP9S<-ZIVtUPNjD%wH^n zNaw|bD7ssjf$b&YDQ3eZ1|^1-pv$cjOB-qJ_m`O|d3bsGI$^SAz?j`jRtQp>-Z99_ zn?H8{m9}y8@pI*=JYr?_trGGKulcMPp0OlxWQs&Pr|Drn0DNdxG@1DPL8k80v~|0L z_089E1;K4M0_{E_tnXI&5=7#7w=o3X-~4@d?;BGu^(`!Y0}Nhi>4VX(f-_O$)P4bS z73L-Rcero+-&Qca7FCi9LdiXc_Aj?ctTlsouFu2~RX2ftXd-sdoBJzU&{OfQtIx?h zL>gj?lVO43nQ}*&SE)$*7pZ!s8wEg72Wpzo4pX8IF@E`TuoVfV^c9@^5y zX06%m7H=5|7eGR?YdUTbW#Y_*Nw`2iY6MsmA*?!24AztUKb~US@Ua%ewug|!I@Q;X zPeoNMu4Uc#k(ax{-&gFQ!_@9arZyxod))i6UW{S=!$<5$zJZZE#S#1c>I0W`7sz9( zjJ#`^84VWl4Bw?@Z%ULGUEPYR#DiDnKf?y|xTW5B`uiXwW!kEo0+$mgyKu+A z=3{~Vm!*TZGTRZ#H=yNq43=Rs??-Q#&j;){UT)1iTzw=VIvNwMcqGu-Yv{o2=&vkG_eNs}MAF%kHNy zHVy8m@TK$$j*6Uu_U$LwXV+v;3gvm-ds}pA9;@- zN13T?fQPQv3+PI(P*Ae9_UJ6my>$2(mReBTl7gPPWAW>_4D53@Jcjk}fhUIw8=WIb zS526s-ZLz`R%eb19@#1ZR)qz`j|si9T8~fooM{O@4uha1-^>ea{YYxb0!-)NKL_^Z zEXZ5+yYbq&a_@`_AJLu&ztua^c4-OX3I(PpYG0DMHNm)1-Q}7`uojr?Ewylj^>^h3 z(TTqg{Q1BPbhe58?E#sZPs}I{;UH1U_?Vtwwb3m{l@ov())+m;yS05sMf_p;YkNF| z@%OzG_s2LAHEB7*iL99GZrs!CskT;cEx?2i(2&#ChbB$r=0u<3Gy0ybqm?U% z?l)ct>dXoEfj(KE(}E*U>P25;t;irW=f~pTe{G$LVKKco;{Ov@;bYO!i%}VbkHod4X>-UDr1z-tXIg6%1YVz@!O_f}`*jA+^Dn~A6aS2V(=-)K&Z5#uP zK+A*TqsgU*C|^tg@wg7kTL)U3x7cCbfu5dThzjg>&^<&i2wCu*+AF4|A~sbM^Xp=)#ndy?U_O(ob2a(!3ItUjV||$=tjnm1d5a zHj14euv@Vl*MR9xp8J&vXI6wy=Ox(#0(7FyGDyIOcz}u8)gW6~`Hx0!R|gHlA`^K$ zhKg6JRi@yDRLXc6l8@P-q*2eouRid^3fP0*hVt>~+ zzgCX-DJ-y@d7raZv@qszKDO<=H?@7PB8k?uhqLZaXq5K792=eE^S&RlTmG_!={DV4 z3guFG*>K=W4!b-XSe(ng%f7uAdBnB-n1KJxLJCmlH}nKxXY}0wy|T&Kp+=j|Pr>$< zmPwLeBY%`=|2Th3F$>rKC$7nQsw?#;hwER(vO!Div!O0>t9%?PKU}n&wA#EDnd9uv zxo1IVg|DT~^IWizUKC~xMnkncKk}&Y5O+Ydh6C@9OQ5XArmVP$f9n8=|6NPpRw7%^ z&nPpiu${BgP?d__yt?)3nZ+&3t$WW`Gfbi23B{1Kqh8Di)JvXBt)550fwO6udaO^E>e}EyEW?pp{&Xk=x~Z>U9VOc zP+3!(7c2Os1O3^d9w*f}?0*%cF(@r_h-Dzi{S`65vwrxXu6>ZrRIKm2eebB@6K>)U zZ}SyYM}A*+H=T7Wx->a*qnV`_GDgS>p1RSD`(Nb~q=bvaYqiUV(1Zt~Yu^^V4}%DI z-!nD+d|TnK$CSnCEY)F%mz z2X)h?(M$sGWv?jS{^AgRQp3hiHuWbn^uP%;?CO`O%m>$K`=NqE!m#dEv&JH9;&9FN3FEqgIr~fjHTMB4u)o|mq8kJX&q$<46@)22KcqrhZsSmutWAovQRT{E{ap79 zHU<)b&1@WvlH879+RmrOtliJ!|^}sljVd^j!qY6AG?MtD$6~EaZH%uB*X4x zH>}pARtarb{S@=stWj;hqym==lZRVBf|qmXG%h9!+J~H$qZYG_ZFDIKs7=Q ze7V*5Ec?(~2|tb6Vg94D@zKV_ZQ!_O_jzd^j_DYog2S}T@Z0RBh=4M0zxv@)=gqT+ zsw@Y89U-9mj&_>m?61xB!&}m;;O$N)ot4Wr(9Gbtr8(Bi z1&?cTvNed#(%C{>~l?+zjNdl2{^rM5dm_K)s z2=_#(4G0nFHvyEQ#2rwIc!mRyoN2rS92h#di)2(w;Rt7*qCI$FClw09zCB+x$0~rIP8Rnd%sY9+d4xhOE6}b>^s&$;ocSnqnq&s`+%;P?bRm zg#?|_!4t@$@{zon1>uez6;M}x*s@QlLw6?GpM4KKBa+>_E&Fbl&^F4Dme0TOlm_VB&U0C6ZtF2 zyR>#h>>kO;qxG+j;bFl2P&MK)_P2?J0(FUnIu8?5Qm`h|p{GpUTe;1;isG8F&IV8& zsCttXOI-%8)ph<$KuLubTYN82Nh`6?+WAU7G&-^{-a2kJ7V>v{lQ$z89jpSvzTW?= z4u65V%}-`yn6Ni5dakwKmm49&AMMJ{##7D-4*qDVS$ZXFs4Y0Dzc@9MCwUqLKWnBq z!@2zF@rQNl5VD^;G4Dh9q0{k0=K}L|9N;nLG9T=rqps_le&_d$^y1LqxdK{Nh=`{+ zI3~AosFhmkg(IUREAMm@B7bpX!Y#5vrE9s)RXD|w8bd%)*ftG?B+p#?-mTYi@?SZ& zefNI>xxD0QDd>X>Um~z#hCzGWcW$fDKBN)U4{HOX?Z5Xy>n%v1J*?qV?!!PWn9fN) z&j5SYj_2-ZxORMnJd8mplA2+G5&{IguYDEy9|G=2r_LD26{-MEHk$2^5r6xsgdbp>vp^I z3XMy8jlLcWGe_dd!^SB$_IsDT*9)gYZD$i-JSg~V;yW5$W&QLs^Sjq>$oY!5Ish)kbO?me;;B4IzfuMXZfH`u}0 zeQuGJ`65|Uzd^E1*RPVUodM0wMwW1%EC#B%j^Ddr z8Wx=Km68$b;W5B!Dq7=igLj?4y{70uASo8I+t6OS94x9AsPh|64w0#7$uDAZ7YGH z`j;Zbl&8|Kh9o%n`OIoM5S?QD^!E!uXb#=#QY|ax!3z36g&BTAFT)3-w}q7 ze%eLd3iHYm%gh&8KtMGS(NgT5v`@|GbgOcwuL2I~rQvR|^f9BE)d!L>peg!XEHn3->hRc%_o6yCvx4bL&YVeSe|_1) zuxa&7x4G=;Z!BNHt`_c|AG@g76esqvJOp9<83HX5tXl{N2lCVp=$J67zSBD8jVjsL zplko~Y9KfkO$YB%EJ|`80LNg`|J;5YIev50wpeIUczoOCVSm9ye8wo_fw$^PLI&VU zlW=7JA`5P-a7I)`uH0AAK47ME9hHnl4?rIURXi1G>wvOuJjZfCQe@rf*yYH_zn+Aq zV7PtI>AZPw#b=gz>^&Mq{!*$00`mlpX}zM&zE#II7yUp9LV31TE_Pt@Mw(;;21krm zQ18!vpHlOA?t4c^gnxd3iKIbAedIO%RKz4B>P5r(2X!nRe}7wWRnx+Mt(d3M|U78@x0_<dZQ@Paj>j46B_WL09qs6j7S8y^(3WzE@%Vc(o8OhObeRxMiq$5q5>;CrF{caO;0`Eqxfjl`#2a^ZYh*k~2 z1%UkeC;fB%_m(My?vstnVtU0tTNwSu&!5O#mqFZ7a)Ew-Cj=m2kR1=_O8e>Ea0_p% zE2NLH-P%Id&p=EEm!E~9=@t;*Y<0223vU#G=q1Lz%HKYp-d;kxZ=r=d)HLa|iwz&1 z{pvsK>E8j@c%J&%B70% zq}xLdx7D7xSNuI&L7EP601{;mI7$JFlOi7QdkRt2<G4zl))@@LD`(Jf|Hj54YAFloaD$4Ht z0*2`lkdl%vDJf}1q#3%qQ-q-rX%Iv@hE8b^0cq)GMq0Y0r6r_O--ABC|M$JG3uC#A zxzByh75mzIAD};Ep$~SH7Q!Y3O)`HgQ_gta7@G@g+OQ&E*%7{gp}9XLgb>jMa?EQ2 zX#VFz{4emdH-&$_vsC|Vi=)$Fp|k;Kl6c{^x_8_E&Bxmh$$q1JxSA-wxTDg?e!gz{ zjJgb1ORJj!zc)YZOMF1uq%zExYo=iJpytul0K3E^FtF?!9hJQzHjr5siRgN6wD|e; zN3UeI+Ch@-3((lmhbI?OIG}wIIMDRXU5`7)?RAT*OSmo<*KvO@bN12*d3)>db?Zyb zX*?g;r+0TP@F&^7YX)83w7r8a3z*~cQe?}xWZcII)?Vn6t^uig*<+cLu`s4rst^hQ zurgZJILqIu){r11JX<01^gI~sK+qSd2MmBHG0z{1)P%haU2*__f-V}BD|&V?^H>g z=Zt`ibhKKd`0UH5wb!59Pr+f)>-i~*&j3*JebA+cjmSOd!zC>XBO1|s~~w^>g2 z_gn3d>m4IzNf$y>?yB=3g16v(IdB&L1imVB>4$~(#NemOr))END!>o%&$pwlNGp?< z3TtonjZ##o;vS^8x~S;9Y;x)7bu(62Gti!H+q>gm0GD18Nvz*nw72;;RpMue{fimk zQPtPo9xycRi?>sc|J9uQNWk=1KzQ@w`{wiWTKw}K^4*yur;Yg}y%MkwSs_1VCTabJQfOCnE9fv&9{yMuSBUTnc8W*TG=C zrp$tmdzN~=C*H!6*)NamWIWCq=!87eFaDt`b{Y!6#Uvc1_f6^jC+_Gx*;BKjBU!tQ zhKYrD1QqrL&hc7sD&s=l>gSG5(HG?K$7noN&}=Vhsn;R2NP`wTl-48uWE%N+P$rqddL$ZQT}+3&z-$(Z(f()4x`tO4LSw(YKM zj(os0^YlE&rZ(QY^T6r!S-Lj)J+*XYsCu&G1;~K&&9S<|N?4s5kC+lcvocG0XS2A# zw0ytCHu|)%Nn(d{++)g%yWm6UcdB)ul2##!BMW8KxTC`XwRtIYKhrW>_dAs}_!>Me zRbMz(A*!y*gr$UX8)qHPemTDwo5c3A18?@jo0_rz?-F_0Z86cCUbY=)nkobH#XWO) z**AxZLf`f4;RF`*PxZg*eXU|K^#0HKtta!oIElhHdsm z`!Np~_S5`&OZuMRYZG#5Rg4=4uh%xf(G)j*fSAKW?I51L4yg1KQS3RV-@DZ>(!|3f zBn^R?*QCEvbpU;1Yki|z4B$04REt@sPY3Nf61m#t4*-G`CdSaFS1*7yiP%hhi(*Mo zcB!Wz*Wt z%7NV-S6Zs4z)0|Rw9G+!Rt`k8Csbs23@xCIsIC@Xd4a{gYu4UwNQbT>tN=|D+rU4o zDR`xae8;qN{4WGNpVaQ(=1DQ%FY?V4q@9$aRG=K16Iy;T9%fU}T}2Qo_@% z6~hzv(tfKbNcEdT{1car`xvO9-SkhNKJ{$5bJ8Z!Pp1D17+8CFoK}q7j-|ArIgi9r zzgP7?O1Rnla~beky6sH;K@zh%jBw~-63sWtsA^Vy%=+VM{L=S9KW<*7*cE*Q{D228 zZ|2b%w8~D1rZCXCO~}86OXaD#_zX5yKr4XQP`921jOmHw`(AOQASZbB?xvgrCc-pV z`S&L;{VU%ZB!*5FHb>^;A<+NQw1Xc}9_};Ib32>?Uz{kQGkcYo2o9Q{PPT7y>s=GN z`d^}0FgfGJd9bTUjd7d!i>aGjQ9o@e$?uN9FY%4@a1s=6JX7kgf_d?GkqlGd1Sq&3 z^*;J(I*-lL{vBWxOKP8l%xUiXvy|(nd4s?E2ZvmShgwB|eB*6ZF!A%T;^Goc^PD(I zAefG*CuMsuMTx>D(mn_Jn!M_QUump@t71jKQm6fF&R%$Pf95yFVZg2FpXrsQCF2bI zo&B8;H$NWTcVdm1kNtBIdn~qeET%QN-B3-rOYTks#p@MzCav!013JPM23%A@9S}rd zn8_M!3f->UdBpEM5|TU@23}dlOIFsT01~8p7w9IG$l1GchBIRsde3;);QKe(^D+23 zYR%iN?d|h5TOVqH9QwxQ1IV_&`g^TS8XJ0!Gwu%$gRN*N{a?eI&VBtx2yD6IL4%rq zX~B_!7q0dSNg{_yofSI~4XqHv5_jQ;QV1+YW*ke(CqgHv=U4A1MlPoj0<1A%vv1Mz zYe+%MM`uyoCJ*WDM!KQ|lfho}DhikC%^|Mg3!`wiSXJX);+`!V8YQ;6Gfp#NZr`wP z!zj_6{}cIVwSBqf!!0KeK8O$9IbhMm{PjzH`h4@Rby&>71%7RXQ_JrQ0OuiIKXYok zWLY{jUh2K`Vk#|d${!tsz)<>kMgzPG1BJEZ&G@FlX}g@HG0(w&n2e7=w+2)ob)C?a zhMZ~aM!?#A*8WG?k%+Cx>mBOY#r_9fN_4$D3)pkqbXtc8c)>m&sy#?s{a$eZUy%d_ zZoFMcZ%RB61HSwJJG$pSI(C+S4{FVrYAir8SrzU%{_*S;p(0)5+^3tQMpBQp4=*AN zJqt+&nw0w2Pcl7#nn<0F5G(HmU=#|2G|=}oV!W#13=EAoc7{Z--n`C7z+b&T=AahT zdHSq*6crh0zdp`s`IM{=OGDEBg3}{^j{gh-Fkbx6vG~ZypPLa>k2FGhG>}D1{SY`e zLV#id?zZz?IowlB;reyw_zV2!0uBytTe}~k2d0?%r#byObK1P?(PGwj#Vb~Rj&i>o zp5)-MqatF56s~-Cl_X*dA-K<3h;q1b+UIAV@fqLZH3A(4>us~s>m;JU9KQ3#?6dvy zyn~`>=z`825|ps<@9^=XY#5bu_s94;n|Y~ zdxaNNfh4dN2i0%iY#WxKp1_q?oJxFl=yoA}q03Jd#i``xM}7^ey)ECs zP_juC_L4+Cq91sms1})}c+O>pJa?M$~R<8aZ#D#5Zq?@uD#2F5y8Wy=J&UC?kS2Wf3s%xlliZZU10uMrain<(V|Io z+{x_!YGzf6-4HW(YXxjqkK@jC$oBWXJ?e)kh2;M`XDKB|JHkr9cW+nd#@uOb`Sp&TFTMW@gaO z-`i{|%RK1>;QHo&TM7U`0I+q4ee#y)g>JfAaNq_RsRV`F2)*lqrQ&I80XvWKIQ zhea5$FD-rXR&q-CiR5(1+b)J_6tHwKUGhI{-l7~yf&trWa!@Ka2m&thb=paUzKMDH z+Nx~q@u#fo-%r0dJ!sX{&!}-{6axyimgl*A$@d9R|Cu|brDL%=+zq?SG!#l+jD18{1c)?4eqK#(&! zgBmb~BI)p%d!_n&NeWr;=Z~ML0~FJ({%lS>JITL`gDmA@kNdlo@Z)V3x_+%C3 z=9~3KW&pz43Aao{hoSU28v#U#2^R|`XevfyIy|3D$eYt+z6NXbwJrPd;>6L>5%Kk0 z@u>|mn636&?!O)uO!he=|~uO+k?yrvR2X2b$u9GNx!$psa3c z|I!v)KRgoTFm-W9Y;m^qlr?$&MhOrQ1a+=eH*-`{Kd<-;u`vg1wLS#>f^NNy(k3N6 z^)L?FVYV&CO|Gtx%IU!$mrs^j1gsE!yXrBzcO9bdi3re54L>@t#V=j`cG_am7a zRJ-3@M~lVmxWc<$8t`%BavLiFKbNEoP2jx%r1Im6v26@O0~}mVs%*9Ets~sWM}^D) zS_83TOSa{3FlThyV>mvAlpat-RFx}RpI6vKBI)OXf?I-Ha!>WePJQ^xZ;?BX<)`A| zza?*&7JeC&GzUy4H}U2}AmaG@^EW+DMKC|lwwgR0@fnNZ6aNtUdDknp+tjIb+#xyX z=66Q3(&mG^Q5q2%8v6_E0V|WEYp1;#^hxiP`bI!T7N85>xh!_K{}mM+T>eJ5Tu(o{2aK-E__=Kf z7mMq!)UlDV`lg(RUrrVC$Ecu8zjiA~KYVa7U$A87UjrBboBcHGI9@B?mn&kOV)=0H zk)<4%s$iIeP(waRgeHRArrr_tr%hK!4F1fw zxt_iNksxQ^D5U4WDf5umPiexH>fLX6aj(&NT2EYjX}je3xYi*#;o0M%uB@l$Pljk< zi~jQs^*2f}c~J3$F>LRJRFg;aY7Zb(V|#GU#~#4-{n^bu&bS5rK4Ff&IzZlHhgQMq zljv}n8U>Y(U@Ah63tnS7#azq&1kQfvc-<~mydUZwV%Sr!{c8Dj;kD@S?zcHw4iix0 znYM_ou6o~RrZzBqehkN#G5G}?1|Hfr*}mK8KjnoKkgHZV{}HonaD^&8iaUpX6&(Np zNau6<*;pK1oR)QO#=&4?o7l>`d#Fv1)KY$_$8d1)>+7sW(Jy?6yR-VW=~@BH7t}~U!9BTRT2#aKJtPn1O+^EsJty$!kdLp76{Rb^M^;|c&Uc7 zzfPaFAgZvY4V_#TX0j`V`bOdOCE#*J{sK<^d`M6?A!}#!9=0N+24N~L?luiJMU1F; zidW6;inU3tjequFhS;&vhPJ&wi`;0@hrTlt_~+YCpT3h1t7|a4Gc#KE-Ff21W%}W8 zg*%`~TYulj#|v{kU<`M=bb{X*aXLHj&WhF8SudeE zZTRa`-n>S&iNp*@^$Js)+iwhjM>KYU@YwDF^+KmTZzhT7gtItLdQywCOPbo{^eX=o z_|^0#+u`wXR`!I*=7{wH|MA_f#F4&jQMc=!)4&A8Cbgg(M%34`Ze1@3!+KlbKtZP> z=M`PkGCRZRG*b7OOn}2~E>i373MPLDuS;I?_sbCatgMC;)j0W5m#s5nn#Fw_+IAH@ zQd<<$JVk2xcuG_On#<>LiM9CxtIXs5xjIxtb#7k^{k!;CRV?-P?PAvJM?>`i0_p}~ z1;7S$+vv#%N3Ba@l1yL3NSithg8H}wL(mKFkMYM@3xA7se3VHT1@pPC}GWo8am z`3gM7A7S??cE2$hRX*@*dOaTa3wY5CQBxcpw^-PxP8wI2x9;vfuaFbtqDO1x{}F8u zIuBKS%7QHoVvM)KSmY-Rz?A%nPl8V}7Cj&&rIC3|9|C{ie-QR|0dj`DSZNCy%|UMO z@i3rc-my=LlQdvFS})g1*rf;*GTrrd!MhH-TC-(l+-JRG5|xG;bKP+)%qKXdC)|PE z#90wKIAOpd=clOw`nBrd1GAOLgQ$yTpD8^kM5L*unhs56N*hG6>tCr&^JXr^vdt7Z|T(38rSZ?Sn(=3KIc`#5VKS=f#O%tN z|ExQkQTBng(eYdes}_*2D2M`fm6I{;csOd?jTi@$OGs5RPs8~(B_Iz`S~{Ui11tjg z6p$3=W?%poZsFr@NN3Bpmde?HpE=D{`(F_r&JKn?6j{Q+7gLM1k8i-LLVu@gfGj1( z8VoFofVix3wjJssn_mD->)lq2QcNiM24kIg2abms{(mdxrid-n$6DLDT&bdF7d(}$ zk_T+aN%@xdH#ZUB8s}Q&z7qBBq7Q%>7-`4%xk04Aa+q)+kS9)FU01QBwy-iiBR{II z<&|=W7&bZ)LA_(5ft_aq7NI-=X+a4Xz&V$q>@Ti~?8DMs1FRkSIpP(*DN2I5T@4Oq z*$MF(3%YK-ZOfI>o296q*Vcq7NgMZc;lPaOa_D)t%kV*K<3RKRg^YC-ssH9Zp-ZXH z&^Y*t-;*D8A8V$QTD0HV-0{XXV)*ERX}@Ie|C|@!lyM%tx885RZdmkl$grm_AnAeh zlzdnzvrN_o5L#Vfk8Ojv%wJco<%%Pz6)_WC07>7W(kDP|3s-p0ng~X722Yt{)D%Ri zdtJqC8dC_auSE}x(>Fd*dz#GKO`Q-zqIB8^SpkR~1idmm&$tRY)_|SOA zr}J8*sF{dd}*Sz!wEQo*oKN)h$9m}1Sj*>ANce=O^< z4u>0r6VVjR23u9pEO%@sU1qYEUCEvGbmg$W#asoTB!1^!_vab5NB^V2O~4i_VlO3J z2_Q5LVH^GMsTjIMw4feg*1Ar8#Bl~HutCS%Un)7Fi+tm0G{I~+7ATOyvxRoEu`4v2 zp##ignRKw|!x{C|VR?MtXR>O(N6%10yt58tMCV-!_Dj5emlT@B+^l)Y-yV3`~d6?~FNK>hPsK0CvkwSz)s+R)XC6`-m2Amqvl;>t_cpT1oyFIgC+Y1Wtrm zcHiQ)tO#fZsrtJe_VY@Kv8OS3A(2FLHjTZaL9n;|6YEy^-bIv{xkTiTQUx5QerEX< z@BI8z&3#?{=nT-ieXqtp_* zPI&sXfFejUSK`jcO(^MXUNa&gy);qkyE? z8Ukhm?uHW?DiKY|QRtG|DZbCK9-t9%2G*Pke}15%-LY`#2Z?3IjS=cz(3sA~At8}@ z2P3klR_A0Ji1^jg7U)oMmO7}|_QoRw2CJ?QmHKVX50r za1@r*O00sp=>(}I^+=iLc}>Rw?V)d?2Dcn9=pPl;Yw_ipno7^Yccf)*?{KpApZMLR8*8(8aA)v`Z z14e%>&FrYa_Kp>*h*p;*K*zZ=Cr6=IBg)o4s4KPlRONxIEQ~2hgyDhm(aj@3a)on> zI^aO&;6zm0_Ro`%XW+gY=OVFiI;i!FdC_LS0A+kj+^jPPusbC{VH`5}|1j$ZN+6#HbME0Qzt!o!SZDKSs3t90LCWX$e3kfF--zWRP%D%ODSoYt`xNUa) zx#Z^n{MqV&xIC(OJw9fy#JA&Obm%BT=(8%Tg4JFzYJPb#NHo=n5inlIz>K?GKXEaB)tG?=dY zBZ*$^6vyrnzM4Xuy)qG-V6rAmUI2%xy&19_tndvi(I09yw3;$Wh0e>#MEj?13YPlR zOh|zAGOpxiUOuo`&~OlayN3|u;O~a0n4~jO&#MplbzH=YY|hMyy$OrFzeIa?Zx}A( zJfK|6N&UakQ8}Rh0WBc>u-UYwZ@88z4onm6Tf^?{8pDqxTKMm!K({w-4;u6}X@CzJ zul2i)tUZw=K>+L9!%QLke;9jW&7um{oO7HLcgIB+h z*Yf*uhTfQrfzqwfcgBA2E?)pzpa@(P$k6XBaWa#^PL@NK`3NfH*Tv}E#(G^doxqNF zGs|0fSMgeOVowmXA`POeN6~D@d0na9zMlR4aVg0!*nT^=jiv|sP$|IF)OBzyfeBz) zMF3Y&sm~>IE(5+F>OuYC=M$7Z#bfEV{Z2?83EhjI?cD}I0FT1vLV9KQHF^QeQ>?y) zW1;F}I-_Gz1rdQh2{24}%7XU|rh_hlsWae+L)qYzh$)ld{el;4oo<`nEhmG4CPd!} zg=4xz-_X2^01&%6Wqs%@^}YL&0PW662`zA`2|NNP4)c#n4lwNOFhC49bfjK&dA(o@ zs>8Qj@Xxwz+P}G_qB3kJ7IqLR_*GFI}Z6zvy z4BV`xHMbhI1|N>%FeH{9=zsWTG5>3%4SEqUDk9ZP)&+-o@Qu#okc9ODxfZxp=<W6m`hKX?rDZldMhB8g?o%Xk`MVJ4&1A%?VW4C#y}{ zFDWs~INz0>5y9P*KR(u17r>`l%C_^Jkj*{6r>4jjM^un_-D&q;(8IVQINe$!5QYNX z(GXHt{IldT9RDEQ%w#Iyc`mM}B{kfjYk5)pi>O(dAuUhav=_?h?#DCFSKmL4LKCLv z{+3rGK77ED=t=)>RDTEk?!22b{=FZC>wx@f@~X+sy-N<*RvGFDM6v-1^y8wH0Pdh0Lv{GZ_41OKbsF5Iz;P{A^ZAq_IwxS zcQX0H4-TQ#qt4{_U(*pt$6M4r96t#0kZmRg_X-Ka2Jdx0n^v-6PAKbIAy-iZ2LC}h zrJOZJ$HP;=Q3CvO$^Zsx>IcUfPX-=u>WUWRf{rCWT0{fHWy*Jp+%KrnVU9$6>B(P3 zT|Rg^s;E~xhQ+4<{%7@{^Cp(-TOIEEG4|l%6nB;6B=@!D@Cj$#>czGnsPJ>o_TwL2 zja&l*)PU2M;WH~1;9sL8epq+M-~(UTnZP5OJ@U?1@61O&NpClfNRqjaV}O6Wtd4Pi z%_~-EckOOz9(Lo_(E3*o)Ay9;G%tJ>Hd7L-cnkA(3^N%?Ab^zeZ7DqIV^8)`U+eglFNo7>8fbvk3HDgJ z_D^M;JT(m+(o7(rAYzMh0j^oG!0z|X9Dh)+{k8#I9hD^U_Q^)L0FN>Qm?Hrb!slkb z_wS3U;z0FG_N%MXfoIHLZD=-AUDe$U0Uxj1rv64Buf>GI==?H%!0cXAE9FA}nAQ36 zy&Eap$?svUkz*RBmlyIgcTF9BMKMap0!1Xu_0R2>XnRyk>N!!_@wa_SZr5K-v`OWH z1lvfU85e=qC{<^Dj=Qd;Q6-9l@|aki`@)PI?0G!kf(kcB5o@1RdNiQ_jDC>BTc93@ z9#!SAXVVkkWq=q`4<&-Vm=ah`N_@$2J}{}rq7QsR%GFhfvOhyJ(Z6leV$&2}P@SB| z4|Hu+VckB);g&w!jB0NkS8H&@4$N2eUYs2Uno)f@m>q4luA|LI!qXcl$9igZ{;&k& z8mP5a8>$7&`O6jezW;uhM-ANRz$90GNwq-Wu3?F??Ipgw!sw7Fp~FEN)^m(e6s_6- zfRaf|r8J2=2=VkB0zz^klHgJ`Rvf@yYGtx=(&2L^e3}4|fgqBXnogIsU=3as=&(c%(sx=9BQ&qCM{B-6?($4BR{dm>yb1i`B>PJmJ74@Y!d*{e`Cl-tFE8hlfZW zFf@l!t}JOnRxdpp#NPBqmq<-GYl1 zekWL)@=lZZiuFn5xt1 zdKRhPENwA;Q?yu>x4@&Li$;m)Is$&AtjyrjP#}V+2FhLD7^`;wq}hPx3|0nabt0R0 z6}mDm@1srMA+6EjGd1y9X#mn&w}z0UJs_V|PDFyM28YyDa?rqs+Vb3iJpu5F(D}y6 zQ^k&j>jj!A))NWjoxgQPq6y_xU4Lf&1nC#kPn>EnFTet^|6qkWj=%#q+>70eSM=?= zRPJ$TomvdKaE07?>VU6UIfc$w+#pQ?NL%m$Otc{$4JILEQTJgYoEPN!Z=B+bz_2tT zKMnvI`p=tf+v<^~k~LPh9N^eAy^|T5)kmG$k2c<|?+mdWG&Wo%#`HghJa?^qQU6|5 zu$ww(Fi1KMPVbX|LSUqa=OS4x^q95IJo_OEv)=ZjC|hQoNj#l$kC*nW3IqJpBmmbJ zD6IEb!`j@b7P!`RV3WXsnB4xEZ9Wig-0}Xi_F1#oNwIocMgc|soWQRQkY*=ecnNge~v_eeTA(vVNc67RxlImQaZ+!^SZm(>HD0%-Wv8=d6nFNG679O+TJZ92Jiv<9&f)YYTVVU z{b8h2wr?}L<7o3`L%u=KZ>_(MA7?=?u<6IUNy-CtlJR8jam}M?p_irny2{Mok!gJl zg?JW#LMC~tn|Aw^ml)MF#WbF^jI^}0Y;}lbypnK;Ir6yROJ^zv1k)koTVVzqMp%Wi zMWCM;;r8b#lad`EzI&&xG*%_gg4@5Yz}>cpk&BT8lfs^+)IIH=KlV39^lcRfUh5IP zllo19tj6loBaMcfY9npfrbP8nn)gEDMHN*%WbPs~2-ylIC_%2yB}dN7L`1qE6YJZ_ zh-*nT(8EuUi)XF}l6L>4VqhPPN#ML}}V`b?vy9(j77VoK6?xJH@(JR|y zCq(czMkf-G5XKK_o=GbBOAD@#rJ`_`B@ziL5l@#UGIDt(EmE$9s;?aw>)<=z`n&NW#bR%XWdXq7-aDPgQe@ImSEqWCLUUg~EE^^z?(n+c3xw zB#$*u>&!0J0%tvNs))(_tBwGU0B$fu8S=ZaI-!1;uY8D&bAS%lQeizV8P2pFGL#-e zv|TWMAhKvc+eW`jB*U9cJ2tr&{S~8VzI6Y_c}A=Cw|l=$e+Z|4pJhjvI|KMut-KzI zj6I#loI)4I;A;2Ysy|ojge?)(z!lpF!C;E}ayYuePn$44{_DN2op2>YJ=-O{I=Q6* z1{q<2&C-=KiH-9nB!ug zNkm!ezCH9;YfKym$#%YnN9l&Oqlzx07MmgLZJ6tN#bkQq?sc&RImUx45R4urEAmU-QoN1J9kc1vl8hu zTwii~&3mWwbw$--bb+PGPx|s(&ul*m!^Cu2%IAx!?kEDupc+5HkdLGli<`Wqz9KAa z0$$GvtB9sWOT3Na!Q$Y}L{iXN75x|z4UNv^IDc=TIaLmJ%`J&Dt<;U#8}^U0ECf=z zql|}^78X?V1wUn^WuquE^y-5wwfXiFup_Oy7-B4y*qLqeg!A-poE;)J5~Z4@^T zmbiz(&VG12!P(VvV*+;lO|_m$c7rUbPxHgw$F_Cx3x1-zyZZ{Y#f$|tWO-s(b0MLH*VGvE&Rngr%!622-&VB>J1^BpD#BNnaGrl> zuA|mOS>=nz!sSY3mG^DTE5CjuxCN>?Az}Pzf1NVbKtVJ4H)E`?=NCOasdDP8E)*d>qUZ!J6g zmw1(xC9M)`Iwc8vZE2%5-TT*wY+wjL2m&EL&65idSWQ?L0 z3+b6L@TOx!3&n^1{TF;X53wS{!lHDdDae9Ti<8Tkqb!K(WxA>kZ{oD~(5Ku*D>5lXu-dxQ709U>)Yw>HC)Y-div;*aL9)ra&28eF@(+&~(ghL%97Ig>15xX8Gq znWuKfnj!^aMTjL|6xxa*#qAfHx`Q??s=$8^- zLuN>!Ua=aDuuIbsrJsv*?y4@!pK!b*kn!w_DMMn`QY}PsnzuALF?)U`%iJ!3tpHOu z?JIL~lvg{GTztuWBx`8?jrY@hq`*k-mtn82a(?;Kn@R)Ew$@M27fCIMVX5{sE($JIuW1o_G}A$WHsVhk-3g<7O1?c$t}_!&?V2TJI6=07&IDYc&zAokH561>L9#pDnljaz65rKscQ zF`m{($)SI8_|QTzJriGN)5x0Ns)c+2F9f6)*-t`qksz1wHi{^d%aF7Lx)Pug;@M%2 zD^(WNe0{hlQ=~lTxVs$@7UjL$q|nk<|DH91x8!7LSGj%nan=MsE}C2}1}a$YJgdRNYJrED;t)h%OKI zv?=f=!O7fWzpxs|udw9xkW2@e=j%CI0TC$#kyq0kWljEr&v7VirjB2_j2Wx-;}P-v z2#?)j)N~FwBK`zHgljXXn8#mg`?ldbnH)97@W`sg7kVJu^6#*}No%)c-Y*w?{ zoeX8JNnwWc!dzM}jO{8ZM~h`$jrEEg>>U~Ko^jUWgk!Ms!i@TvR}2cMnoZ5V2qo}m zyuL#3fMI9Y5s%fb51b@|td{pfj^E12W?IkC%Z(C%jv@Z`m*FN(Vs<=!3YJ5kB_87` zWu4;XhUWEs+{qkxBS=H}H$Di)Xm6vQ%Gy%k$}@8kVZV2sEk@ki;=*hI0X}-)Uy6Z& zQKoHqV$p40YSx)6CNHT4=F+ObgAQICr| z9wOWohO0!}LVzVHInR()$<|BAhG1SdC^OJ4;9cWsWPaB!npd+tny5?^YL>y$m>6l9 zUS_1*bI#cH?NNLsU1&9}`RZCK#x_Q=Y2YWJ1dO5oK7HJ7 zaQg43r?oQU5ekupRD8UVj+Lu2x+Zf3Py2|Ug+69`>kRImpc%g+X!7rQSrRCXadDd> zX*3PSq zHdmY19PdI4U`LYLSEkxzdN!+(P=G-PEKU z&)K{>5ecp}n9A&~eP%|g4fE61nq@*_^Hi1!OP%aqo~m+%8ZGWHNF!<5j|`{jMWr$K zE*c&r8}c~k$2f(74*fPBKJmW1MQ5->MCVutMZn_j2@z%w+mGw3y|9ip$;Sk*-@)uOS((2L#H&&Lh;$ZghL^DIQ@R#H=Cqt^A__!ovKRgq{7`@nhMX#|=FS_fJh zCbl3UDxNtKz)wuD=Q1Ga3NyhN9Tsm)biMb9fWfhqn z)qk;yR6Ghu%U=$AmpO8)<1#9k$SW}~kAL6#76(~=-_K4$`0;&mW+ap%@isc(vq7?i zqT`K`erA>jQapvbj%xKsMMG+w!Eg7l;ty(Rir!@{k@^O#*p>8!05e&NC9sGT~=-QYAS05 z+SI^$9L$hn6O-5PTDB)}GuTe2e{#mAkfsSLsXDrO>VeK8P$)FpQro=c6jx=!j`?5M zJWa{4feF?W{|H-4&CVMEiEj+@a6Ck5EEjYaX_a3}=vRySRjsuAB|%FjZ55exgEd{x z-p6muT#cQPh%O^;1J%X$^iw{E(Z(-KB|IRcKxJT0!seXsh@y+IuwZ9PD6%t4O`1oj zzkSM9Tu<_U8}evM(JNGgJjhOhKt`G{l?61UQ8H8#AF0;RpDRz!nIK=jjfJKvePssr zwA0gP-xjr5D3=X|!#?^-Nm*mg1v-o|r$8!;TE8x(lv%bL8$cdqMJIc_vBx{r5LpI~ z>nqNXROt*wT}`c^iQP=8LrvL0=A0i!PjLM7E-ht-w( zz&^5Umz5|4R2=W!xg>l%Da0eH9v^l^i>K^Ll2AzV3fDsb#88(dlkHcRrPNiVhR>^9 zS*|d2vPi`1XJ7KPUdFI3>Ok%XUsBmo#alT`!OnsWChpcL2<~9Uq|#WO-kEH6j7ltB z)ZyDOp0HVS*)>ujX|2ofp(ix$QGdJZWBnpzb?MpIuLU3oV9vW>`F;=vIVavdFMU8V zBJArjX!pD74&Mf*DtvBVB=HO(2W#I+K>?`b@g+K|V%>^?2 z=s>w?FE_LMkQ!ZG+SW4-RAse4VEk58lzd!`wGuvUO1V@#wtms)i(F7nv`k)4$XB8c`=^r7@iPTap|b-j!0N zLLLUb;ohI;t145loM1)iMtX{mb<_XglLWcNJWG9HQzHYzsadK`p{*>znC3}%p2Fv6 z-6dM$Ukj)xYp`+MZhQ}tSLb5R?Wu)yNEDtc>aMdTp;94w>Xh?@i^@MuaK9EJWn1R* zAnXN&LcQJcHQ{BRDtSoRHfKDf2^4MM^%0Nxb{2m^iq zsU$H)e_FfioRPBH@$}Mox{C)TVm;@o0Vf+jdXamrnhXY+6|Rq_m428hPtgbO!bSzj zF@BUG>TfyuIHFLYoe4=i3@blOYYblXxJ#bdT3ULCe%pY_7(0H9f@B zHz^U4S~rI)6|Z+->-mkzYVPEn^UucjpLA6~EB|zi7q@nFDVd_zFgv9m{4O$)u!Ju9I9RkWz9$tDZ4fPTva3*3FLi*h! z>n0i80R|TUT%YsL$T7#OjvVVRGthsG`GSoD&`Baryo^A_V&I zheN`!BcNFGNeBzp{FXDBP>?NT4V9cl@Zh;Rq9Ay&y802pU=60_=L#6t|CRs*Wu6G`_WJGAM(%Bg_xH;w{5^u4l`Pkphdp-F$ zip1HS^Ft1tH$FGlHNlKc=N--|Qu)t!yFY}`TAV3?O8EE69E(`t3uMpuPVyH7a4X}C znK0}w1;)u4p2JqG0i^NDLrr=R1>GG$q!LLn)AsR7h;>RMkWCW(g^lQOVb|YIOH?L@ z|A>74xovbPDx3mff_;y}@pj&wCMSD6VQke{s}f1csS}Z*LWIzR7MY1!yZ`ISl(%Yw zAP9vozc%!^D3QqY+f+Om;IC9777ugA+_Iqw8O3;{AqyMz?|N~UvH5Yj!sxI%10_W| z?pyqY9;xO#>K?zPqpHC?VPNPUI_J2(a2W64!)xKGuxWUjEJ03zrXF<=`(e5I%Xa0I zP4vTi4xcm>=I$|Spnl&+C&c#rDJY=ZVZ6go zJS9qySW^w;@a|R@wYF@VJtgS*W_)M|Rf&f%gOf0usH{3#Tuim>MW1XJ2bovONTsMv zj5H^Ii1*f3gUiiUP`hS%+C5QkUcW~WkL63jS0-o|tBtX4xJQ-@)ltatF_A&3*{6hn`6H%k%u-)_0-0gNP(TEHjcm;fIIiliT_=rh$efrp}ZL zpkKrfHLYMQP?`(>_2w@r2XY~V{LIQMg7}Hk&jcqai^y|VqUht@9~)%ANCuu$FC?)O zn3J39vkd8{xC=_yYq}1?)qaBi^6L*H zBLq`PojrTf6SH+X3!7nP(-XU0cFiO9G*0Yd*zNON`tV(ch506-du@97Z#=ZyG>8}Z zwzjy&r?lbx00V5oLFVS%1xpE25eAqV0o?t;GZ4v@XA7#+gvN{de@FdDzsSE02?A;U z>r0Xl7lFRsV=3@H`IYlnyZCUG@?AN{eCkR;B}a`AOp8-gXAOCyF5h?W6SK7vF{pMF zxhA;@#HY{&bVfdcgKkESF`Fors|A5&eNXIi!SxkqF+F5WM5$)8{qK1#kYcp$(s$0o zvod&Rih|6^6K@n|$>uA+78{+RIP* zKKMXg6yo=kS{+J%j>rq9|1Y$KB1`l7lUvM^QXt?iP~Xqhvc|PIe=yT<6O^!=DlGm%9AY+$F>Y9s zO72eP$HLDdC(~l<25K8a1ll-1)@{QV5@MtnJaPE@SE$mm=us5rpG@mVK0bAn)4GoLT=<&;)W97}&;N}0Tue;qbi zQxgLTmmp~pY92LeZuSXiM&&E|20eY-c;)?dBuT{|s(0vox!dge+;R^Orftcqpt9zhJ zt$3@dXo)h1Xmb3{@=x2!aP6fkbu1DP(^lCjbxWfr$Gmcs@UjzW$g$9ciNA|n<-77*T1ea+T{ z_sP(dg_8m=UPz2~UCDm@{FwvPKwxIoUw0S4JHYry9XBmeN^_Vw$_%PY@r8gVU!eO( z(S(kWt@p0)gIa1a+2jA}ww`)iq6+LPWp+Dtd=SdJ@TG|AAyryzd$xviv803_F@sZm zJ0C?c7|nOxx3I9l#ig2Ohysb8Hb3--0!4EdtI5(l!PIN-TW{LevB8V)Be42(!nXq; zQBcW-w%RE39=*^YvR-Nbs0R{J5>ovbxLskV3t>XW2r(>+h{C`kqr#7pZi0|ps#Q!v z?BcP@22g){aEki0;61N=2U{v0l#?cqz3>l#8Vc73S*Pv5Q}MS9bYmUID4#Cl*J?ehE4E2Z-=R*dmL zI{qro;5=G2PRx1l((aL)XyM2gI}lYs>=n~BM3@p@r;fqk z{Lu=*n#V&gJgE@19!Xvv+GHjKqnU~XGKU5}@u2SvEgKk|!cDdt%jVW(#Z1Kj5IVLp zn`qO3J1Gbil!(0MEie}DV}TOIMB9<;CF_4&P+7kRPM{?PMuOp(;RLi%sJZRuJ5c__ zK-VzUJ^bB@evr76-7O6A7C7q6-P5K6lT@U_3F@hz63f+L2d&d50oL)7B2#c&aji3@Du#V$A0XZ~>-#)`FP8 zwo89V1Q1a=)5A0Y5s=M6C_vk_kA2V@$P>YujAD?%p0+`##)(c2c{soaf>ed$hh!tz z)W(EON+6gtP43C`gCHrDcjY!+21l^1*D2Pc2b*?Ov46|3lhWheg?KeS;_% zgbFH1Dbmsn5+aCzAf*D*Ez%`9fTDnsf*>U*DN<5Hw=#4{Gn909=eKU3bKY~_f4+ZS zuWNiRADDaYz4zK{{bJp-)8Dja_7bM#DKSoQ-F)m83GzpIrRfzz>zn`*g*%9y7^|LIj zY*l@iZjAQ3sX|4Hfl}zFJ@~8oMy!3qHN3=*G;QKeEUg2~H}y7Fkl9*OWJ-!`-3{=yP_sk>&!&#lnet3g^VzAum8D2i)%*RYRI#s6l zYvX=4_+1ktC%mj{H*q8aSIgH(b+fm+Yj=gusHFd~M*K+L0%vzn-03*$`H1W({89tU zdMZdB@Z4WC&e$RwJxTy$z4NB>%N@8=BB~GNKgQ?|WQO;@-qj4_!sd-y< z>Ew~p^E4HW3rF`z*J5+O3Vjcx9dSlscgKAV6OuiZ2-PI$eU?`*Aq z-&5y_GnZ5z3m<%v8-z%Ts?gIg+Pol#2w%nyKkZub1lP+;S(ThSna&z2&?VkTEgM?{ z-4}N9hAIE;W*zBdV%8o)RxJKeK3b7ga!M#WFnsOy+%rh?u#z#9Y?p23?D~u7H#L&I z%evo6+B}%|k5^6UEiw5CWLMe$hXNj{4|IMo^3gXivYj`-)_%L^@zZ+r?cpGI`I|)1 zr}4SLY14>ooQx!kr_C)*`Wct3)_U1_u?c%8+;NuGMF<^WLBChtD&|MdQ?wa$MxLmkqR>b z<cfcb1DQm&k`451Y$1As-zXc5VF3rRZcuj-^n} zk82NOgNs4+7WRj|P1YP?&kwB;2C?NoGJPCt4Ry>u)CWqj{?U(S^t|{-6*GmRu@E%xDA_~7Li}MA1^tP53 z)ejBP1@&%Jn9Mom4=<^o^D(>Nvaq&lKxYFi)^pjX^PM4`ob*V=`Ow;_vkA%~2@YJt zfDkx9_NbR0R>g3DQq1w1*qNdG((^ZB9p#Ggf7vULS5Q1(IT(Fo5vo{1 z;-xXHo18JW6OdCVkXFB0n(19;$zS*FG?p@Nd4HPXCRqQa#0F$xI(mln8+hlZaM~}} zT81+V_*-P&U*5YJ{qdn%@6A!t4mCnsY9H+;##sBaul@Ua9lOdiKZ~IgG%75AIb{;f z|8U+pT_C_@-o)r{s8N|3%k?_aw~1hcr*(b+Jx9t*uYIAJPqy?azx!ye6(Qc`?E6&e z)9P#lz~gu6D4+EEn&mO#fK!EzUWWiGJgmnKPDsO62C+y-a(>&;gt(&2v++mOF#ir7!pS3Trs0O99{HcZn6N{f<~MJywDRya`+tGSXk% zAYLk-yHV(BHoqTP%T1W{Ot7*jxXkMMLi^e8#4*UuIO}clHvrw4gDtM^~JZjlPib^4D0t# z2JpcghM>14JY=rlxUI;?vrwgP)%+8ZC-#j{c6?7$s&?G1sx#&7Ohn z!0c{NH3Mbwg=>^R+7hjU$X5hqO{q%k?Qm&FbRBn)O>hi}U zc}5iZFJm=IUG(Mqmq18T9JpX->GRRzgMHQuwcp^6)AuDf<+F!#o!>Y4xMQ`y+SJ6+ zq$|xaF?QyX*i@+FZ-c=%e821)pupy*_4Dg7b`|;L->KI0&mF1J{HHiD=)|52Iw!Bo zFz{Y>#6W-eyZKm9hQuXZXd z8G?;;b)I}#e9I?D&wOw*(!|>!v{?ui7My|9(un;)sf04Ju#N7&{8{E*H(x~O(y5%Dz5G8uEv87Siuz-Xe zhHgM+L}6N(D0xwm>KA$HE32nryoz;?g|#XAKo4Ozq!^3B_caeyAU|y&eesuuih{t> zSU)2)_zh6&=d{yv9$YFZ2$(oS)^syS^V8$r#K-4ZKHf8|M&l%1_Eo62lAikt><#o+r-D)01(?@OD?QsMWfzO-W>4)W8cZ*CheTJgWw*RCw?MU;ExQB)@ ztH0NYdtZKBeGSV1U5hWHMr4f`(|?1K<}}{V7z`RcFcFn)Ddts-gK6?6N9_D;Ln$LKGjz>k~g7%B1Ru;AJq|RtoYy( zhR2RAe~|AAYh!R$YolEcU(Xktlh7JW&qrAx_*@|7%m}QsP0*%sttsqSt3962!zQ33 zT>PnEsX!d1G7`%$3d|FPbeaV11aJ4hHiCw4&1B@})s_Ab3~}2(I5$y)cy@N1i|cty z37>JeqtmC^7Wa?k`X~}+;MxQjbib$DEfY?CMY9h=JpMuCw*OW;K}V8w1$ZK|U@bTb+Q^%m52)ac~VlY3MhG$86(=-x!dSHAQ@$ zDX@42wm<~+@++QN!QPL2fb!>`Y4}P?)ti83oc^=A^^tr2qz)$A6f@)Qp?dDZfB2#5 zRxe_4O8aW$QvFEXXuYk_EGeB!b`iss<&CAAk<1p{(uD_eUVtXLwI4?9D=`tp_9o z=0Fe|3XH;SsTr-4yH_+!%9OWXP%=&UoLW}p#XDQw1PBbNXR4S=lEMwPpzV8+BK!qTxxLOh7?LoQO;q(XUS*Df2TEUC6;G0St@~b~@!cE;E#0*E=hlCT4R(vo-ng6~xV%nt+ZN&5~=#w52pzedZFIfhPVy!9y~c z9-LzH$1i?9PE_q%0^Isi8MDKs;5WlNL71$N! z2%2MPnIDdDA;rmfC`iES%HK@1FVAF|Cl?EMk)Lm{_d4G2u7GCAv!~M1Xx)?B0jwro zNg!T>h*!OlWan(sDPE>9QR!9C$M>k7V9BZBi$b*%>#J=c-!~R2n{;_{ennMT(ab!n zKK{@Sl1G{yw4mWQ*=)>I!pF!S!*lNPg0rV$v+>LT`>tn0bB=SEqDV3+@th2Sgg;bE z063i_a~!+UDhdvvwP-?-b((X1-+N^^Bk^F&(cQi_6GFkcRz5w{_pj%3C=N(h-PqMv zl(T4z$>D#fi!7A1?;}D&vZ#~UIl3=xeBl>P z#0~h~L3er5d`2_i674b=D6$6IA5;Iteza5@Tp*WXyFv9HQ`iD+Va;!ZQn^jS74JYl zLAKQ;-%wixOH8%DfsQ%_mM8jmSdEk7`>BgC05{xhEAB!DMKVN&1H+VVN<-nfd>H30 z8>%88QT<#gfuuC!ls-9h!aiK&s(7UtKFW5f3tQctdr%eha0-w>G|1nTV|X2dAHTDZ z>$>-P1P`d$`J{Wx2;?6^|ql*|c^8u)C^zO@C@6H9uK|{pl>|svc6dOD>=c7*^=~S!x zrKfZ+jz=*YLSt9G~TunY0kXuSrd=Q&f9G@~-m}Na9ZI^P* zP^!t)FPappNz$X^;9C*kwb2{FD0CUv>)4on~e5YcU^9 z6xA|k2xlyPc0kCvYK?MoEH$Y<)!d8p@b%$i}#IrIoL~1 zTa?K=PKz}u;sW5iBm-J4bf)!AlR;;+d{pvf0WjbwKk7lY1+6@PF-Y`Wv!SZmd5pkn zUDV_3^_9G9ospcpCBhYwU$9((o2W1PnJkZ8Lks;coGA|1N%0%*ySv zw}~FJtLcUQEfKfmQk25)b1Yr{h&k!)?@tNqhMMAdw+wmwxGhYSvR#-A#Iv_BoUU3>(HslUmYgZ{;m@1Y2i$yk<6Wz0kMQ~TLQpwEb39{aLM0viAWw^mS_P%b;E~Xl%&WPmmkvkCgi%?k@4?8Fcj2Po4TZ$MDy0i!YN+YqC9;C$n0t z#BkFS(p%?B#dT{7WkmqiN!1qq=&jN^ypdRup-@}+{nL39HRAN2^%hAs3Ii9Qg(p?{ zeDv=)D0|gAw*VA8btao*bs>|FV5IUnQ%Y0^I`5Z4mirffQl7?s4f{M2`cfeJ^GGZ| z06yh)RtFZ>ORXh88Dq2ms#c(S%M{Yg1*hFIENYuDww%w3>`M*T zxw(ALQZCg6Lp%kHzP(xu3pQ2g%xS`|p8|@{D7zN9k}frK;f61z@pIWc-MDI!U-hK% zLgO{OR7Hh+biP7mT391k!;%9IwpJvBQGyxo6uzT3exWQ%ov(P*GLsje5A_|*KO$Kg z27V1JIn1bI{-5MKp6?m>Ow}?QuUTAYn$Q|`d8{N17Hs0=TPHbORiR=*3Ts!~!*A(t{`stii?O^Z=dj*4Ms~@u-#`a{7LzxrDzF#CS9iK0#S;EiCv^J~ z#azA8pDa7DK+-wSh4+TQy@aN7`n3nFlP!x zfD)DQKOe+pM+!TSc;v`oyPL||@UT14x}mt`bEk9@wGhV#d!p%9%fy@cQ&$M2VO+ik zSN#+HV{IyM&Wt1bE6q3< zbc3mO3@>r?a3uDCOrSAbjQ0hc&C@>~>htiRj*$&bmUy)Pm%-a{nG`v5yDz zPE3~1t(v$}7=kQ95{6pq1DiplUMS^}wv#qfism}iocWl7izvJ|k}T+aaeyrC`C^+? z5Ak+*sQA~d5YgW&GdWeqBFGE*&Uc}ug0AAR*B5+I*1iUza%o@k)20tJt{STnA1sN! zQ>Zn#XY`)hjPEIB3NZmca%WlmVST_|Kdil=&uM2=e)xTG_Z+)aZ7y^sK4VIb;%8_b zey86u;{D-10wW}YPcE{Rn=Q4)FUnBvlf(0baXsV z12?yX7w&yh#}=>A)$7l{Aygq(TRmm^sL4Q7Hn`5Ii5@gb|c_QB3f^mFF$i=yF|lsltd5;zzdclZ|RIVIuE z4ygf$cCo$L2NF$*_XGM3{HSq?7xS7m3Sad6Xt%>?lD?q9V%ZA0m$<&(Yy^Z6VGGl$ zVwRlK?vUEkE1l762LX^&Wd4%+Jk9n5q!tj!tF_;aTp0Tms$9PB_2AVx4JD~E2=Z* zi7*(_aC>$8j z8ohQvn{`66Q5L79)}C{1A^0Uh8J-rX6UM)}f&RTAJm~_@sd1eA`vz^i4z!%yYhIu6 z2_AMHMd51X8lGv6WT*V?N;Fw<0X^|WOrTON^oK#(fZ}4V(QSC@^BEOPRrhtG1qZqh zW48#}>xLV2KUvhCyD;-XmfqLu5iGZqc|m47hJEPOq>O!gm;hCgt)E?yI6we!D}d#J zZ2~$s11Gfbkr$afKR8jm2hHR1x70G`I$PXMT}X)edrmFrVsrBS*xsGQ46n@e=ij ziP{t#1=pLPMn>by^TiO2@_S zbQ|5vmF(Bkwg;X2D9X)hUW#tF$b<4HD{{4qDMgM^+p?Kz=RzthqGyshO58SNZn3OO zI$o>y9j%WMEc|th&NOtz2cn)OJdmj4dhE8%&gw-PpgqXId~jN_AS;cY?$*ajF^lej z0nOnyV;-Mi#k8)TB@b~4V~6i=CxjOH+)vdwvY&;hlPI5()LUGfRnxa6wStDiVUH82eQkCionaC~Eopr?sgLf0frB*Ro$A5SfeWs^t z@^N2uc7zVjV?w{C^gTE3THwu_+oBkSk0zw8Ff-xnJaEGP-e)uVJi?@Up+c#i^URP% z_YO~yYWkanQc7wqj!zj_pCIf<=J#{+td?s>?9ItvZ{Al||G?GFV0Y_-Zqf(Eoc0ER ztGWrkz8~{w&|$r1AHJsTWCk*Bxm3MCjkrBaFvXQEc=3LKG#BFtA5%kJZIFk}ho-nd8ou4HDY?GmZ8KdKgXBpE? zqIMq2Ev>K|$dklW!Z8LtOVls>4H~BD;pZdfC=iJ$T>rBk+d~fRFY-S@;G zi=&qI$fQ1yLP}f^DOB?Cz^H#iL(&#F2=%-$WqeNakKs*9I9EA!72vQF?+F_BMQ&Z! zsVg|d5{IjQV&dWVi<6PxH=gX=XG6;HC5&Bp78Ccg!#^ZmV-5)iR5%Z)oye}~d2pxh zO$!IKwLKDt?;>4WZ|0m3A}$*ByaStWXnY2q+hHCo{e;O=aFV9^vw1zp(hVhp?mXU) zN>yn+4r5Q-(lnl(6T6+%*juSrDBkDSYetc=DgNQvEK1c2Lj7qqiubeU{@jq)$q~+C z#mCX zf7fpO9aCPr_<`k?gD4!BtnEDPB)UJFl&P8TYbnr-9oZHL7MW)bmN<6N?#rsP;dx24 zWl?Z)e31WgX)vaK1lB|$hR-}B-bS<-mZM}YHCAXMkXPvBaHD8{ZIj}Am0P9EK4GJB z$39z9(6+j9LDz9CVVYajsIjF+*-Li8AzM5IGvt)7pNE@*j|{%E+;G#6s`eaH++C5+ zBfVW8t!9G+N5*C(PK0-cooSmtaT4gm>LbvI%Ik2gC05XevR&CX{Gaf=N!c{B5$Dva zDZ1Wp3va}l96#;z%j?&)ZELPdV4$Ej|GK89K<e(JH;te09==3b4p!cGVB zwjn2NEONCgps$z|hupQJau{))c|sCMEHs8AzTX+bV>d1x@4hUYT{_SDG*hDnZv5fH zhZho#H`4?Ugssb#1S&T^ui$hH4mMGk#noU(k6#WB4i>}g7th4IyBzP$2*WBAuhmn^ z(O-5tqJB{J$0Z0ZSTesYSh+^@aul^Ai4hbOwApqDWP(}M({Ya4LKdqE7E7+e92MCq zb8wqy(ELQvSFK{yhDQLI&N$~0*WJpH386UK+H-8$#i6OGj8C(*8(RfOTf}yT>fT?u zy*tSy(Fjm4O2la%9gikVVv2W3+^5N93m|XFt}d|Nhl8Xj~{br+EDRyhEl= z8JebxrYO5&dvJHj#>;(cMHsHROCYfe0TM4RwWYq&#~i#x5w;JR{BOka{f*eK{nsKo zIo~JFi|lO|Rf&1de)Yqravm`G^kh^p;b3US*EKRPiyF1r+0%E@c4uX1Y`f5+ul``A z%Iohvw~Orr-VqT&*RYusr<>28b^QMW&wLuM&cyo#MMZeF%Ox{BuIrOT^~mg(FIm}S zv@yL;Y;_CHwf?4e%Z1k{v#>DY94VvaFH1~L%EM3gkmPJT?_Yb;F3{%#uMVBSxyrb!&V zyZ4pL(&3}k0`18z0ptia96wr5AwL?oS$rc#g{bPev;^Y2UzNv3+*hdESegV9y${ZA z3|izok;o*V_22?DjTejs$eMA-$9c#OV=9Ij{}q61OXasyb#jCk3_)QOB6iiA-=cT5 z-zdbY*CEiPZtXg5&rCl=1==!kVu;gg?;(p#J&2P&Tlb<9$pkwRioMxRk0M zRO^DysdJty~J9n59^lLPuVIcqPfouJ&3A0TC(X`I&Y`fp6gJTd9rjpaaD*~Etb88qMh_f%h$1;mD3W@cLTDp`Zf>sWS zvzyJtHz=;MKl=$O6}@ixOme*mr9wdopXb~rG(i|FJRLRP zI2VMVBOQ)Uer_*#?kz$V(DvM$8giZa>@kK%+do@;<@VFZMOs=~env0yf{?iCaxb}D z9VhI7PkqN>x@CU*A!o(ouC|(toXYnr2mE55qnL#|IcrGdeAA8}F4MPx&2%`gUNydr zwV46V{zaLY%ltR}Hl&0{;(Nw0H$|-{4E3+1>1x(6wC&Mm@r|2vT?^aA`-DC1$`vwS z+C#e&pkP}SRM91U*d8?&BATlF7D#mADqH`g+=4EN#G$Q|)(X>HMpjmkMRp0kx1&gF z4FPR=kQsfQB<{{7)1L27dX~()Qi(*+HZu#AJCrSyHs#!7M+7_uwWqcFer=S;(0YlI z&-a}jDHo+2ThKcZ86F-!vi3UK>MNOw)Y=_h@x(wRwn2e#RZzQ@xw%!CgR+u6X8ix( zA}5me3ey@P(L_TH5QzU^X#uovs`-;cpN_K~Ts_~k^*UkQSnUPQvM057%p!{&`>(}bXGCG%Hz?1}&HZWNZO;^_83F=`jIub$i~&0c z?76b0y*E>{4r+G;A_6(}=@ivu8W+!fTs~{0`P2!7b4kp$Rg=oXz+S8CVP(5YbN`wl z1g1AsMzbN8iJ-&78Hv%cvBJLPvXv3ehnYo;QH1O$Ul{_FZ}JGRiRVd2S3U^N-FYfK z&z{h}k*$0_6lTZl%Ool5> zLw0Ef97l+UA`Rq1an7+v$om8@VfO}|hD#;H%cFZ#7XDdD+=7CFA5d5kphPIL9Ay-o zZaOBqT8(!^9A)x+mX}ZDzn06tTy8X%PE{#GJ!kr(+M_?PZwT~3ztMJROFMF!;VA%*tq$uowSgO(9Ui`-|)L1W=&Cc=it&KK5U%X5Z!3uMFt(tu(7{< zvRf(flQ-N7#Gy;3P_#1zW?UC@G5FL64YxvYxPUd8wnV9PO;GyQ0Aa$dh6*Y?>v!1s zfHuo|1-J>n*s%*&cTQ)1yLdBHQ1i<5h@91pgcFaBT!@Ek8nQ(Y_Jo4fx*QrJyUd(19EFF>$UM;hl^$sc&r3H7+SBxt4ADp zd;h-k#DCrS-@Tbv0$F)){92WU&M43gAr4@Y^H+@N0AbR%wzlFR$ww5DHf10@(f}G4 z76}oY#j2CzMKspBPDF{qa~mD+Z8>|i;w2Gqm3{p9U}Xj{jTpesakxn#;Pul`OvjpT z=NJQa!1375PcWHoi9T9BS*;`4SPSu@@VUddkDeSmSHj_XmR#1qljV>gDIId6 zgh3f2Tj~A(+Dg;ANJSjh%{L{Y-D`O8qIC5BHJzWi7@9keyTUF_!&1zQ2XIa!1zwri zb|Og79$pYgQ2(cXKjeIJv~70}@&IdWt3AL0hi3L7+l8#6^}~(!@b(#VYirZv!@W4i z-*Rjq2xP=hkS6S&2HZ2YzmPKn$<(wphF>VSj`+@E^@j&EjmRm9Jq(mTA%6j|7#FPC zBSO{(StrOdR6063z>FY9>Jak#Kw@9TnE3GCrWPJH0W}ZU(_K z28m%ZF@VExswtvQfaGtt00=#QccOowlH^5wtkKHt=b6X4Nu8gaM;a9chxszwU4LCs zx80liM0#4XDuGio?+wGl$W^$qFYVzN0TRP?BAk~fVhg4%we}AX#iily$3Gl&PFt|Z z8*qfQ(zsJWmcrZ5Glk;iPa#&mu_1g2F8^a=cxXKk9j4H=mwny^!9c zNbZYVOxv;ZKGuyDCN+=-wW-nu(hjlc>fM*aPU_R`3GEP=ZGe__#g;vG|M(Sc@!dB* ztt{{B-`zTTye%lc_D)He|28q^@Il_L;z_@_2rGj~QCIm#Amkpao4 zTt+g31PC3zR-SY`FGay9@>q6AFd8m(S}d7~$GVA7?m{YW23KKt#f+Mo+Q@X+3pVF2 zFs{E`p=(?+$M3@Vxk=j*TEjy@44xJ`Y>5BfeNE_3uR_jR5Plr9^NXN%Q zHfy@{fJ)NH=oVZKJSYwvr0BO$Iqtl$u~BENJNv_NP8G>Pwy+&>^fj*$!y z=ug0xnIUR;B`^MfWMDZl(1U>!FI|DsqPO@!UX42H^Ey)B5_);CR5TMRMSSz~qpqHw z`|j=s0`Z^y1NjgGb9j@+`?_yUj_20xRK-{{kf(`X2sh>^olSi4^Z>~*h@uH8po(PA z0o0O>PgRF!yz59L;t*pd$w*1!$PwbDs&i;a;j6MTOicYph|9`S6rh`RLZPH%&<&fP2xK}Qa6L)d(CP^SJ`8&J- zWf1LCJ)lML!E4jB^`W$J!R+#Kwl&Gibrr-}n-gn0(+{H8{u$_Pz)u9-v|Eu1gHxPc z7Gy>@p$JaW?nKB8&=6x#*JDv9FtB(4VD3KCrB+r}qKB(>$V=OOsqhe%(-6}8@K|NV zK7Ldpvmqqu&CN|N*L7o_=oZs<_-wwpVG^9B3y=!>JB#SQ_X=K0e|u?XnD^=j6_)pO zpqIBGtLZpu2n4fuzz8^@Z?1VWU)05&Kef<48_Pd5cC1 zELR>_gKF_+za9eUn1(%=mY+}htvh@aV&L!A z1yM*$+UpF!MB0OX%q~cj_|@&6+q_rVG`Pl!bG(ighHUGIaH!m7zapXrUa?1ZBO^eXPEt*cv~0QbwjWp`-WJ=bz1RSbQs{;j zd+C#qqg@h);1R?v0QeXeA5Rk#8w)y}j?m(dIw9Dgxl6AcZ1+7wj^VS$V88u=1n~!O zU6KYHkJTXG$Tqsj4y0deN8JuDu{c2+8s#~QwICZ0A4==uSBUZcB;zSJ=(F1+?l#9$ zddDU{;b{=`^oVMNa0M{8uNaUc3NEN8f`Ghs)FaJ55< z1O!@}u~LqFv-WBD*A$S_ksI!Iz-v6FZtD%quDG;tV^%+}c$jrm`G8HqfeK*~oQ5JW z4*4r1yAuf&$Qq;GMs-}1N?!YFTg50?l74jSWMeqeZXpCZm4&tcNN;aF!o&5B*RLT$ z*ze(CMJXvf+h{k9m4x2-`~zga4*%5=n3TGKnpGR{PbEXh4BE% z+w4U{wGj5gAFJvGHo%HmpW^h21{G`bpk(F1(aC8ILVh(s@9=f_BawFqKc^&;Z$NML z>K{z+LeiCm8d;(p3__Br56@YM)=9X=bhnyPN?BQ~7aR|pgFlQTA|is*V45!qJ1x$x zo}wpV>wH}(WMO|$FQYh7a}Pb%!xM(a_uk8**tLs)T(|XFtsxME|A40Z9gDCgJ1P?L zu_Gj#&c7VRYe#GWM4wN{;2hnVTV95Cfho{4sS!qxU{wQ{C9Oku+`s<@0G}zqw{qtb z@-Co+_B~J3?I8Yg!LheqUqiOu3$@384}k`S*m~^{k)k~%=V20lxNW^SUK%~l+RqOT zCa&D?$;oqB8z)+>GW>NOf%#ww)*v+$P(%}?6M?;QiM>XpVsN+5z5cSFubTc7$x6rz zcD92j9CDQhCWqD93L`Yc^#ROoxCYRf=yGe*6we6|jy*^`jYwRmJfQvsfK>7K+@=ie z0+i@0CtG?a_j5HCcQ%|BdULIZMQFSZ?Lbj~aeOp-^4Ta@*fiV$+wFD;YVR5%ynyh$ zU8c8k+zh2n69_Ei+H30CcE7&7^8B!N@58MRDp1}JwE6o-z(#W)*`P6Pi+i_nz@}6B z5$P1!t!xitc(~i0CjM*1>%^T3lRk0+41XdszwJAX4t`r` zAv2#jLY`9e1mLx%nCwZ;$v!8}bxO)T010Z;ycWG|m76J?xVB*OJk9rX_d;hOr0%fl zWas4jRuSd(>n`o?BXz)+Sjf&J2n5j*;K^@97=dkGe??teg=l&ESQl#7Asq5ef&+f$ zWD@NWGh(g|3sgmQFM^UeiHPGkW}lsUWh{tSV6Viv&8H)MI-;Pp90Ehk30}&Y)8P1o zI5M+~i<5{Z^pjM{7{oD<^Xy>%ZoozTp;rp*5gkODf$<27RwerrzW7u7)&tNV0jn4V ze(CjTSgSGEJ?Y0~Nl89nyynJG_o~}e59hIsfM~iL^b4Qa%16ReWUA?8)iN^z z9d5hx898~+I}?dKEA?wm!K%EHSKL+d7$-$s#=9vj2Vgf~K!|%cAyf_lj1hxBkhu+u6mhK~pc-U!mYNwS~OF3wa)q zIsfH<0dARoeSzZ(sNJv+QAx-qS#+fV5-h{tFAf6DRSxY2DAN#f<-6kn$gtrobST1Y z0DChs%I^a-Gk)xTxQ20si{tjgEbaB=cox>YuCg59LHzY6B;QwxCy2#YUyX(B`T1((;c z2O<}Fi~=XvBle@RKl@HPail8D-!c`PCmz(kBa-ak>^3QN^=m{#L`U_T*@Y;?)}cK8 zt*orf6)bCSdG9j8x&;WbY<#RU)LA6kJ@siq>7cfH5LEyNncB=}h3`Qa$Fa#SdVBBd z^=@&HYzf$IAp-vsAEet$+rE*Zd_iYrUT}I8GVd;uLOj<3^g4!zTVX+(t%`=xor481 zUwS{RVv!$FfyD<&0#J2p*~nJ*{M2+|OP2b|6+EQr4Z*)i4;kR;g`LCE-Fm_AHQRuc z*O3kGTs}d4L}LcTDh@)qrx`18Fwkzl(JE-Ox#I#{3{WAm*Js35T$QS@@t*tUk3cH{ zrAiaJssgTYW-s$D0q0zV7XoK{ybpj0e&g4ZHYQvUOE2ZexL2+?^lF;H$bd4>AbiCM zwXy}Y8Cl`qBO`w?YfoobI^6zu zY=i3-tM`p#-GQ8b$NmMRW_@O@F~7jOB6!SG=a%n^i=awfuOp`~mvMHNovW~%{lr{m zZB*GM(=ptAt80jS>Xc>%40;ARsM_1B3e?a2R%=K+LxFr- zZF+(DZ|`JjGe$W3$#uQWxiVkxM@0_o%Wwos-eu6*MvS_hoLh8SvtN9OPq9uV;D7Id zSWOT|xjB6v>MtH4EkQLm4%s)e_bi=2%BSM$Ctii>_Fb<%w9?{b7PMsoR>WmpIED_h zO35G8tgWfgO>qx#?Z4Q+K7x!zxtR;}Q5#vgn3$L-E`w8lrAYqo%TC}=Bfc!RQ9WVa z02=|dX zgAxe+NG0CtXLwKNx#~kpD1xc!ov7sYgOzlue)AO;y`t3fS>!KJ+IA!pl#E4@lti|G zRbI;CA36{L4zmYTp&EX@C+Cm)D5Dt&0@E_F-ybE2Bhlcrz$E(m5TvIZYp*{S^vDYY z4nT9z6>C@ls|X^Ne0{HR^|_7BXyU<^*xc`;+!5#?8^W zaG~|s4Ur9y?uIX6e~zEx_1Nr)h5)mRMO?~Qq8FzUxUrEHa^NKLm-7ntDLR|#Pj5+j3oK%*H>`8vi%iMKZ+=+ zV;hZkJN(28IxzebVa8OPcJOWmW7jeHpu+GW|ajvqVgF&Rt6RU}~ z)a1{vf`-r}oyh}{asON2gO+JrCohS^5yymcR3C1N{@tUm&s>mAQ6&rbMRaNzL4%sWTa?e$3-IwFZhR+D28h5R8`M&k zow)n9CGbD@FY8D40DOD+LIApMA6U<}MvhXUlui>~OC!hI{FBjW^R* z&^8Z<$rlYaYug^0YJ?_q+VkSDv%}si z5{QK!t^ukP)%5H1f`mSZY!bdB3eYI6tlqVybB#o3%v%y~M_E``7#xP(u7u;$ zkGDw>_C_T1^2e4-0&4qD=|VOhYsv~zPW;3-Zz6V=XOK>8Ow5b#W}G~_&~gRK06PjX zKEInLZwcJaXA1xj6of}28j3WlAbLN!Z|6!Sa8E`;sV~2GP1FjLVO;KEjg#I%Y7b(; zFIF#d9yCvjSmzDhs5)>tF0|3{l#80XESrv1jP0ifg&so27-hol{46PxU$y|D(I@MYKxBjA6`H*NsJ32mMd za7_rJcD8QhUWBCfSnSapyT!)S*k>W58}U0oRw@sk`kcUx-$7o%6F-oSGU%YP?~o+m zhQ6AZX?h;rZ^?lT%sW{&r~o9#9p!a``-BLnkkz?iw}>J%?qKvp9CW!JZn*oNrDs+@Tp z%Zp_?3wEyT3*)K1MqPX*(e!(5H7A?bP% zlj49t`|O3k92kgN5RwZ(*9bs*rbbO>5jTlRV(*;bup=oT7HZfc8~79}g|<{_@oJ-{ z<3icief!R{71wcC?@;pyP`Qk~>QUuEGy#y!f69!Ke$shK0d^lPE>d2b!3_77SDZom z{-CkJy6Wg9vgv|MmA88h3fL^FeNl9IOXY>Z2cWIO!^H^3sE#eHfZc+4Pc9Iw`w=#C zM8z}qB}DV7h?WjS>X`QS)6Cf&2P`^T*n!burp*MY*E%b1*Wf--RWVty87pp1po&;4 zt6HlGL{15453WumKJR62@`nD*9uYa^aCh!v&XZc;(2@=g4qKIlrj|1sdpD!@Ru^J*lr5;2DkmPFH(nH)43&!FH6sSY zaSABF7{nb7qT~sZJA?OQ4{QydNgYI_WR;56Jhn%mt0JN?0vLf@pFz3|c%l`mFuMco zo=;n2#6WbyXB)UdhiwDY9}Q{}0vNXP_rYIK?`x<;sUcE6(&~pa!vU*};xUmg(4a1Jewf45NOe;|a7vdw3zvLQ;r$69{GMf9IzP$zvN4IUa8jw^{4R zgDxprRYJP{3v}z0jUHK7g29yUvS#QB%_dJtX7x~8PvSk+<&bh>WuFJ~1i(}RR0|r7 z=2nw8*-Ak9918zv$aJ3$rCs5=OF zFRSR5Khy_Y3f&#*z*a+ILWh_`z1 z7W*EWVZie5^8yfGUO98(w{qV(j24!zTrcPT{P}Z_?<{<$4QhY$W^Am#zbrd4cAW+F zObr#aQ`q|8I{>{TJ3+;0^kqlcZ zp3v|-$-At9`6a-@wGSa4ZxFEk|JZxasI0QCTTnq%B#9y!R5B7JNCp)I$pT7}AQF_E zb5cPG5(ES!i-1U0a?UwDNR*7Ehn$fNy$)6NzIDGlZugJ=)nhbcP^DGyoU`}Yd#${*STnD~tSkX$O zV~`j2M+@m^oDHUb!333n%OMK1+%t&uimYFO-`-ad#sqN}=#hphq?SPWc@Q2qXBf=@ z8ZP}REc92cep!~_Ge8U*Gmubukm~of4BlJ<-~%}Tv%fsV2-CF31y>N-Aj6#uDbYRD zQkD=Tqq%tM^$N^qeUD_$BkE0v@z8q#L^nnLJJYns3nX;czZs*y_QzJvm>mP)u;kJ| zhRM>0{t<8)B>+DbbmQWADlx77V``{(#-?{G^%0TFGMDTyqB|N=Q-KWKl_f~(cW3Ba zEHQg(%$ADtR!g10;%CXF$DV-NS(M)F*Z-vn1sdodhCw2K)B#j^3Zp2jV)aOo_0$&{ z^9o~yYXuHZ;qXg&iI1xMEU+QIg?oSjR|~@G0e#elka79OJyzP0;OayY>N*er z;Sb&un>&aY5|W8RahIc$dj!>+D&~s2q9!H~^vFjd5E)T@zEQSU7KCVwd-cd0hU!9r zd(=Pqy8mnCw$=qr+p)b)M{v6leYR2F1Ec=+Edk^iBh1mK+xn8DrUjO11W*<9P5ilj zymkSAeNr)IK?~KC`7;p z{q1#Yv^#K~c>Cob^cim_ACx<97S55@=d#9o9y`Owl0mo=dKsz%4v}o%)j$E?05#CL z0-iTfIcnJ-fcTCWd?>6&K>Am!h&5a2OqebsG)*XF}WW{ zRsN%o@L&i&$(VVD;Nn!#?KG2$%}OL)f;1Gc;DRWEs){Q+g6LS=bjBnoFNe+!?A*Ax z`!m?19wC-L=UVm@jkL`!P}uGQ`-IR66*Zs0#t1dHib(tz2r+QllC`Bl@^{~6VgX2~ z{J^^ag>w7`?d%3T4dR9Q7Q(Zk--}5J(%}Gg_YPD7=I^(q1YJ&x#$9}By1%p+vn!y5X&#(7X!{_6?j4G zR_0XP;Zk zDd;}Inm}MO(zgLH*`U@NI}-#hK)XI5FQ{E#M66|1VVJZv169ZN2#kOoX^21xScLUZ z;r)W`VNK}+{RmMo{4$p(ciAJSfW){NC5Jy4`&BU^NRJfGnnbk!%H0NzTnNJ50B^w0 zCSrhMf!<3MP*=f?LdY0rcSS@*1POGf+9iY^BN!EU65^dEu_31=nyf|u4`U4~p2eE_ z1xl+k2B<)3d?vboiop_vq`|&f` z3#$Z@1!(RQ)vVj2rqBt6sEtsl3m}NZ&cR^=sUMCS!Psd9cijJxzML6YDhx!gwx-+! zq_P3u7;7NkIeKyLiZ3HN8S*{6dy30JdnTU?`qdbKOE>&nI3}VraGmE8Hfe8KPGz3IZv*?gI#ABo}ih5HawA ztOB?|wZmbNB}#4s>@0c`*=les7@}k%LKt925qSDu1fsuk7|e5!$`=ec$t&`|$8JTo ztwV6D8j4BUNp6JjjSM2>>@wIF4`I_I{mJ^E!VtZGa0~)4KK~yu#r{UDc=L8H)x#*E zRbiw<02o4d{{|Z9*|~1zjxyjvOpL!4xJ=;@0*7b|P;>(fiCz#pK!ZTw=m1`$LNt%x z39xS?UtHE{^pT#bBrWiu0UgMUxM`3sV{kL@Kt32mB@= zJkTJP`_mi-3Fp#V43KPQz<)6X^%os*!R(tNNK68Yf+a#)>$t5y5Jn{x6cp$N?)}b( zvUUTm=LbpG8m_qsV7+H-EXaJgJyswLJkxPV158Y&GprW$&)(j8Xn0YtbQ6d$1YfMo z)29@`V$^L7gM*;o#LUb9qMb14u+`Nw2A`GRnE;T>il3(bmS}^7*7u0Y0dDDdSdJ%C zkpJs8g}I_|p(#`!esD(o`u=6a;T4bm+0}Iy_;3WzL1CEQZ{Q>I>X4*r7Yl(QyD)t+ zP~rgj+*j?%(ZeGEt9%cn$ab(n)gy^%W2Oz1ONKZF0FRW&&N>C0;JY`U(KVj~tIwL) z$)*_6`gI7!;uHh`!|jDWSU}#`S7ByF5buIBfW+aP%Kb;+I(h#I>OG{mL^eZ_9v%zyuy(UBKimSGOZCtH17IVF z*kk_lm5krZ^F%_@8`v~IH&NZlrf4zGO2MRmy7QX9tH4i7dY|kioajN)uy@XcAS3nP z48Ot8Qyou@+(iyy!Mn_sgx!RDv@ z?`~kL??v0^4BAGaCK<8ok+0j21r;6(X-B+wdFx;g2nK{XL~37%8Xnd6E>Q7gZopi}+q9p)9mLew)dPIWKNi>93KFKepj z-}vB7mv2|pJKEQ${Y2vlSrl2@=(yvtZ|hQKx)u#LEjKNVXM$}hH_Mb{Jq6!N1*!sd zFouqcnc~fH#?#$?qWeIJ=&$=<>_FqV&U2UG3{uD)w&omOLL80zQ%Fbg zUN^^)^4Qi_z7RU>sx_RdYJe!S;->%G2mg9p=l%v^%#ePE!(PQBBIo!i=dr|!9YmA$ z|59yD>2ZwqJpLN?mUnzFZoCCr1#qe%?&*Zm3FQBQ4sgnA4W~znB<(`4wbTRJ5ypCi zF33q>IwQPntT=U0xq9FP+0$uab=0D0uSe`iAWu7A!in?Z2Y7aaEK9$f=+ zYwN)MR(R{{B1H*_>2FM@jnLPTPZyApDOU7Fbdzak1=4qJ;Fl3Q*}ZADgfSh3kinyphIlQS>{G;Z(WwssM6q0s;BLY{jZC-m86MWF`> zM%!CiJ+>$vWxscM4bJw6B`Kf4YDb~+;9AJ6dmI#b#(-iQ0A80q1c((IzuN+f#FbFei+a=7xTZbmr@~hGwR~?{Vt!~ ztyD3*>P4NMQZ`02=l;C-20&saXHMJkfw{0b`k|9^;coO-WOZg{X0C~hZ;AlI+7sJD z95)w4*Ula{RPB=Vn($^89BwI|@Ko)%RykHD$iYP0{A;4gu;@opM-BiKZ;vPJl%vhd zmiXN2_%ct9;Ya|dqaFUBvvWHKtQ;JhIVamyvtXK|RdgNdxmfq%?OUu$n9GEd4c%j$ zdza6wtsak7(aQHIc@ROyO-n>pJ(mYEIs>A|%0{j3;9t-b$dQ zSV{HgKO@nR<|K-dLT=6j=;&6}3 z0~xWwNvwI|uBWFrj2;CO*kaY{wgD^xgQ5RzqL!9e&uBzg&$g4zqS1~=LfTEd_T89%CB=6B1ejR}jQFeUL=%;n()QEnvcKsL= z!TpF=VBq99Tz4;gvFZf2d|zSCI?xQ6Cmzr{G0F?)RZf3;^xvq*bqRKTNzOrO&eM}4 zHP3CeAN>|3OB~0O92=W}`O1IeSr(^xjKI{6Y!6R*Ku}141}pPDazvg!yC%H))x{2O zZR6bkGNIlFA6S*K6K93E^9MzfkONc zqFads>r~_GROR5UnK7?q&er9uXvwU9OQqVsb*=vOV+G_!C^oz=* zWEzK%KvfBwgX9%hk%B${ppFM4+7K5gz1U%$SUVKuMOt4~GuCsC`>H0NR&77!a~GDr z;;|*=`B7}wOYGMMFJi16+wU*h$WIk9Z&pMyxc0xUL`fWICB{&>pHUT!(5Q#Amd6Z0 zp}Hb=APo(To4Deg31TRu>_7f3cIXo;;_A>g@a^%f!&;6*3}g%JWsUE%Av@oCd5AZ< zg8@8T=oAijX2jp3P@yAMuLy2Hu9AOUa>+;X--k^Eykd|)JrDIS%t>~Z{@;L8@-Ftj zu_|F#a+-d-=KI?REI(FDJ1cd?r&Witr*BX;Ew|cJQ8o!I7&Wsqi?&%Oo2xRkcoeBM zpj(o6S(`!%HKOR6m_=EBi#7)QU}f9>bLcki7!{L|S2~o+)PC_PLsL{Ci@?Pu`?BbS zoGIrp>)IQNkK7`rB!@HQLY2&N{83@j>l#56=6PJwK~LROrOEySkqJWxAJzT~!5f_W z_-_RL|1hBc7r(j|TzZyC-bXUUw9>CC+U}* zw%y2OO*!EudzUqzn`0Dszx=7sL%|p~ez7|pD>gnuIpdtvs4xJR+Myrik;IQP+$Z^y zsP_aTPV0{5$AZ}dcV&S4DDep0T${l+R#nc~KUb-!Lpl`q(L>W}=e}(^fiewE&$Fo? z<$V{UOrLx=O#A1$DN}BE$>b|E@Z8#-3o&%a%xV(qaWc_fJx^_$e4K7WC z+kV>-G?N`Pb6UD^r34-Dez*d^$J!#JdLXd9Fw2+Jn<1KU6idfKP+|zHij}JEv^JUM z7g+i0{(f|;%jjP`>~MTCZp$2)$kQ`O%S6M4XUBS4(u7P+7wcj&|7PcE6dtIt)!wKz z+jmmJXLz(dG9N#x0a+f5lcyJNYO$_5uUxBb5b)%FuqxYU5|S9vvG+Kd1+Qf0sBGFG z{Hp&mH`X>IIj`Y~lj#RdS-E7(5V_>5spOW|lgdU!!k@l$O>JpiYl`ZmzDF2h{Q2)m zp=4}2B7eErx=q7%$0Yn!8A&v2p*{>Ug?UXYvc#x=TB&Sy!w)Y8YE&Wc1gyd}QY2wG}@XI4p=I`BLf@$W(`QI&F2o zF=3-wN$sV*KG28f1EZ5_(UgrP-aRr~>#?_^f@#Ds-OH?1kIuRk*SD)qsUL1d5_LIf z>QUfV$H-;Iy?087UM<|31ucV@EAHnv+rIcL5Q^HKi9%G<9B4i5~z zmU$&AA1#0dR;NutvigMw5HJLkrB!o>P-$v>RlmRLY-=o|=`@_1*{%|j z;ZdQXMEe^-5y2ErKMZeFCKsQu^x)qRiR>noNeZE-;fk_DZsl(n{|KIL2<=P>e*9vn zsNzEc{7n&e|p0f9j=ypRXLlzi;udJiA+{{H z_eDu$2vG!UN0hmDY*fxXKOD?wbMB6g4=j(}!PQ zy@amRR_kY93o)X9zf5Wx>_E9Xv}`)cU8)-sq3;O= zuZ7H{@{v~v+S%Kxl{9b~5acOp!g^1w?DMP3)r7{54C!oEk$%l_Vm^UH`WfoE-+ zG_xaZlh@+i)P#^^`VN=76RyQU;uEesi)W2ByXRj})@1*6Gh8+hX&xd;bTCY2?q@pI z*5vb^CRgiw8N`pUE5t1ZS6WAXDbK(6GTg+EuNhC>l2bY5FoI6QHgb6`p8sT+*yyY- zMI2b8+v&lpB}6HSBqS1vO%SYtYrAunWHupoSK4co9EzR0kfI&2)r5gstiCZn3KPo`)a^{!c_T?)<}38WN* zWt?%YnB6WLt@U(ea__dGQg^yf?8_(Lyk8e0@C^XmrT+}@r^3|_@nSs_?QVhHzqZNE z8t=yvKfb@(B~_9WUS{mrEq`^TqWBqHM!JMTzytQ_oRF|vn&O;mY*dC)+Ic!_1!LC8 zoSl-LYz^~Zm_Dic|3=E7X?A%C;MP67k0z|qY3BnaC5mD~XJ>j(6ABH@aH%~;H?Q6V z;d$!izKx-C?GIL>A0?rnN-jg-GHdsOUQ+*Nnd@s~o)8FCZQOQ{0&5XDrp`;P2VYC9C*9fDCrBy>CBN!9Ry904T zGn0GTnr+1MsI3Y$=~4=235>ZNGCry1=(v-DKO>gQLNgDzhMSi>sA6j`s=njz< zV7Y$)hx61U--zoI8V*E{=f#dvrF!p&w0u{Qw+dt+yIv=E*93Pf^o^?f=Bk-F(V^0o zj!+PHxX7$co^=r1?_52ZwC02}d!N5z1@X_t)UB{Lxjc_)l8_}X7Y9Egt!iU$_`#}( zc!4*;NTfbGRDq+(x_XncvwgshotY+AwrG~{OIMN(Hq&O!wxSO1d2N&K$G?%regx#p z#iO0#n^<)BWGX?~kC#lULHhNN6Hd@4zo8@WaFXMgX4@rhpnR5BYSbX)2anu;Zd)^B zmrmo}gr&~=p&cz56*=?O0?I7wU{w6#2lP80?$~G?YY~zG>ot)`mxdQV;wGGpOcd`t zkeGHN-`Op9xDZ_sp-Nj{Mwoy(o}}TZK5tZt3Fk-#ziXjw=S@nBI8Sf9_|@S_r<4sjh2UvG1OHaM}km8owy@hN|x#rqEvEobGv#}D{TS(udIz{9~Vce_o{>u{Fb1nqL1>Wgk>xWQbb6BEZzNP0AK# zOf;M^x%pD=zT0t6Ri#A5q)OJVQ+ye9LRVH;A<} z_{#+_n!K^(BOiLnvqh>A^U5xpEX3elxQ=8f*=#hSBL`2E<&2PUE zVZl|Jy9E^3($5ZO?@%O@w{8p9@gF(4W#Fe$TI~d zJ|Rd`qjj;C3B3l8!z}3wjtf#fhY=^J9gqc@_}-2v=d_!`McE>y-XCMO;76pgc~4UE z$fwFWd(r1VT3zqXi{ECA-_CroTs#7DOyThX^lTI4O50Rt7CdDjHuMZ~Wy_H+96gt8 zS~2iv4n{uB-`)bHple&UR0xGAc3Ke#9Fnw&9{T#F4KV+*dK@h9_hyDJmcRGWay zHRUwj*s~HT&<1aBqGY4{&Y-LjXlkGcH;|Z;LXS9h&pyiNa{}tdsh%ygVgVp-^6zK) z_8G)-54x==`Gb;vcBz=8Dy@adG?Yv@afxWGJ+2 zze*UQ|3YhWQ<+iEnmO@1@%T=2Tc`rc%BAuvV9{Jf(}C`a{Lh-pSDVPTn-lg;jp;{r znB`R}*h}bMA#A1$?qyQD?oEj>`MSx3}%T z;CUm-AFi#%I2kzE z_B6IT@Xqbe{S_pg7h0m4f4sxFb`dl9k4fuuq1nSXIU)G8oLNbUhAwlTIHMZbL@D%( zPktJ1jI0Hep#keC<4I5AqU@axO@a?N*ty63t+f0607}jCzzr=6qiTN3#`E~13S1Asap8wHR!pyTLh?szQl^#fC})FaYG^$gdPKMO#T z2uHGOKlkv6Z)kXMj6OL`I2>C&qCV4S5?)k3!{#ifIy2y+O&+H z%M~xo`maSXG!3`l{H)}0#rSp$b4W1hz53_Nljc;p<~iyKm&)~|&W`mJN{ zIY*Uqo~xA2n$*YDDjl0@(A}i#j5k{<(FWi$Wi~Ro337GQYr8t_BBeP!JVDe|!oj2| zkANq&?)4svMIP_3AN;tE`OLu~0y%Bv>(5`q4YnHOs%ldrMGc!;npw9pGHx3h|2Y)w z`5ZaT%HELqhr6|V(iuNXvw41R;TcgKp0%dcNmAS6+IuCwPYs==L&Ha02bLc9eH+6w zSF^c{?^;G4seeD?NuTdWahs1wn07j8x?YFDlEEBD*JQ69aGQtaEO*w$3r;m^qiKXI z5O)s@Lj#_>K5-KjmLf|S=-gzD(5d>IaLxO*VgyO={REeerW%3%0S~S*h|sZA^|u{D zC-c5E`c^C%a!g@f-#z2G>*LwHvB7ov?>3!3xgu3MN=ql7H6o1Ya=6nh;?}+sJ5Rs; zJ!B)7nlQ>E?X@b{OPk=pSdpf)8Qo{msKs6D7^h#MaBn!AGNA5Pww)Y*d=QuD0Bu5- z?QT6uwhFczdBHRH?%ouI)+t$$$_-=2Z&HT+V1P?pL5AjZ? zN#Ti;(Tf)Yo~X^kS5Fy+|0#L)Iw-f(Q6^%HkWi}nZkCNlwL|C z!YE_uKHw9h_n@>^5O}?NA{t;;MFg9Ew{1s12+B>hkpI`S# zGYD72UEtKEierR1K5=iG3AoKCg1Amk?hexrZ)#mY*|!uud~P=tu*iZeAkuTXAV3jp@nlA3((tTfZt+LvXT25QY{2 z(aQ8x`a>iltBq-C#Q1zXezJ2igFtD{;%h66o*Rt8#eKPVe(Rk=9bgkH`A8eqfYHRa z@<@~>!gqKJ>CUTW+85x*CJuSSEiU;&L59;pH~O4ChWvdu2TGq3BZ-L;fC4wHpicQ{ zv}TDiEF?5312B+wn|a-N%2_Xi@RZC^EsH`Pz@K@3#ps1!aYmdWF{jKw5^)u(#>Z`< z0Ln+5Qt9Z=2VVTP|slL>F{ej*pv6N)Sfj z!%Xi7*t+S&aL)Cbg@K28hucr4c5$xNkt)tC413V%`4Hmq6l zAFjUj!dA{J*GjmNS`lsX27ZE!?0@;Wm8TK<8LHUDu8AdZasvj+9s+5R{0IH4Cs`np z59SqovNcRY*>KP@vuZ?h4__4E*6m3)L+FR*f9MAlgxvaLu0NI)Nt`c)Ev;%1?HF@M zrnv3Lo%VV^)4YCy(2esbd*i-0X=41q$ku#6(;1imA7PW+pS|N^e6L`L@szJ!6alq@ zKl`c*%Ww9k_$mIU3SC`_Hq@0PH#=k&o+MQ7wBU%Bg>@_9tmwR4paX8eA^&!KJJ0=D z^a5*vE2|^-WaeX#2?zx+D5h*P2%$E3)}}n*N<%}-(_H4vV|w#J^!4}B9#87D4M2hb ziqcq>Yrr3NR5RenPo@t}(^{iupb~`IEOTN-tp+IR|Ha&fu+eF>z*5&4b=z{SSjZbf zN#|~ScnT6yn8Z5pQU-^Jzo7Y^k~CQe+sD6%+sc@~xV0ogg6PM8cDo$ea$PB=AXj>X zhJ;5zjP{P71j)0R@E2)9)>|Hyd3ph3)ya||5Yd}`DVzM#fbbrCgBEnkmenDxtu9+$ z|3WGEd7-4o{lhOmhHw$lE$#P99h$-=g|Svp2F&QZTXiLR&|)Ssz2qmTGK?kq(SAK$h=Id-TeGB>V|uaSZROBdyaFbBY5}sh}A>Z5FOMZEG*^ zJLh_N(Cu0ECS(TdRIx=cP`?vpsRS!xIjxNQ#cQimdfJ>JfOa{a7G!g?!f%?iGVarF z1wEj?hwT``22H@g+$qid)RAx5xT4Pr`B+EZ4~i?>zO*VlBbMmL4uYAZLw$j^lli~4 z4!Yr9#QHTs@cF`;CP7WyymwM{ zn&g*}u~ZNZY;%51CdP^tQA+A*)0j7G=Vg%^)q(-*gBp@sn``x@F=f#`o2|)d`BN@a zRGJTK?6;6>s_0@G8ds~4&5J!deiD+Is@VKh6W53RXe{IC@_yr8`EfxcEt3H)tZrK5 zkfI@7v2gW2)mF_YPRDj~8N+4b!GuiCtsabl0w;D@*NLkk*XY${LnGBqn=je+B8sKJ z9U1+3Mu8)PM+&ne^XCIKC5jS44Y1;Lf^N@Is!13S+?gc|xDCWnetxpF0gqFSko;>_+~xMY(NswQE^Jys2~rOte6xvUAA7)WD@`M-h$swUu-i^zSXR@*+z z3*~QN4oFN0cM6g<#w+NmbJR``e^uQhieyc7tqVX-Yv^!}r%yP0Ihh6Ayd)fLOOZzjn_k%wfS8y5REAo5wQzG%%=V%E~wi@#(TAB-bnThb;$q0m= zr@Zjq%d5bvq;xX>Mw@IV)gjea+vyb8sTtm0SE3X4YwfeM=pM6(rW$3yKL=E=h;F}K zBvnx`r~bW*H+U_C%A60QR1!!8Zi0=lixOMac@*JqHt{VYXsGW)Zq;|68Jtpytpiv6>8tMX; z!J;$9KW`L$vqRIj7IyxMhN-cm@Zg!?XKxY z{r(@M`c_ZwC;?lc>OvOhQM31!VY~HNXR$|Y7|A=A2K3?mus)qm84jU^uhbUE=Sxi~RFM0us}AgaTi60>Lb>m?YBA5N`e$ zGyUgS8`Njh1xv@LH>Je?u<->HGG3+O%YAmkS8gZmXFmuc@wu_JCgQ`-w(jm@LNsxp zcqnvHE1pyh)-TNkwhp{|6Ttd|LK1|jH1V6iYknqw;pXer(Al0S+$+EcC$3&`VwV== zfA{XS6z|r+g(JhLn`>J4Jq1;IdiK&J40Ii$>1+!Uey01-CXCzO{_(DMdIy1hkF>58-W?)_r z-Xf&6;l~)C%2vUnzJ+V72f%7!+gFDp zg@U9P>aRGH%exD5;9e47HAQ#DqhSlj{g>h1_>#;yx1tG}74&hru0|WCM6SbAV>Dus zP`WGDQc@ZFDChi$s|E2uT<4DoQ1Y9<_DkO7_^;-?r}{QEK89YA%OCSwK|$X^Coio6 z>Iv_L%T?E`7JS8zzMxqG%ibAh@rbm}ghRh1QqRRpe{O#8QkF||Ne|v=1(=R)eDB1I zqY8xoCbQpcG`>p6>P$qcCdL;T!UyxIB|sKsJ6;L>A{9b1Vx8Vufi@Blcq+2MKuu~0 z`nzmQ;46z>4D!BL4mMWY(x%hfD|4M^Le>kdubZo4#^-k>>%5=aR%xw$lyz=M3V9}j zS?I1T$zsu*pC)`g0{Onp7h%@9#{K6~u=+G5MikSej(b5;L&$iu#eTvrAN$(0kb$x! zA4&+>=q>;_)BO11 zU8zbqKOQ)MO~tJ6!R{$pYr4u!*D$ ztninAX1*md_PAmD1SDF%B3;bzt*L+p7`laE-@x6g+MG?Kb?GNC`B@;8zE*Y{ z8yecyNlln{QIs$MX&O`G0#vbsu>Gz)i<_@HPrj=6A%@BS4V2dhC%e~Araaf+Aj<(d zX^iUN!{*?%qw$lYGj3={4@TtFLZo$L2hIdky5ndjwb*n`=&t=$P!K8^_JPA#>(o6PlX zriPNKBwIX#c+#0YXzKDVJ1}UlCn8RN1B%w%MgKY?!cD{`S6% zw;^KBqv-i1>+AFl=;iI6H!}*gHXst($i-7oHq~g#UM^;BS8c(O6=Sn&2f8>!$!$zS ztYz;#O6Rw2Fl&#ZtuQKu6)(XLBi_R!BFDLrticFE3nb?Xx)+sX7W+;~E<9MYvRV2#fiE1Ho9`1b@#mB_!4W5QDiYE8 z=+#Mq>WjNF3^zM?BYw;2(B-<-wR`i3uRIdnyrj1=RhR9Bt&W*GiV7Q^!T zY|pQ8hoP7+Eb=_c7N4y~8(RcwaUCu28F8?`?8CVAd%4Al?2#LFkUrjks&eiKC$#O{ zCmGoGMYfbg1Oc^UrpX+*8;+Sp2~tU3xNW>2V7}B=>lO}av4pyh>6u=ojFP(O-rL2k z$)#^Gw`jPmO+pltCVNI_UCNZ!)8vi!`u!djpLDJs;v>hH1x>A`t5x{x?x*NZYM@+* z^@{h*v4KzH-c8Znr`Op|S3CQG4jVDFCM+_5Akx4VtOfr^?>h`ty!pDY)rm)I8n@RN?22LFSfl;klNUw7tbIl|CCe{eT+ z)*$L;i^ZXw?X5(g+g>w(HvYiA;a3~Nmd#+!3%qQ~_Q1H=KlBTax@nZLx0bGaNw-1} z;tIQ(O1>8>)c2Y5U7v-dSPQtSfuvoovH zuQu!+p{gQSfqUWokBIW#2`WGmHk3Y_IPwZ8RgHyYxUDwK;6mqVn@Av@=Lc^o3iiYf zowc|cVs!#%4|>6oc5p)ZNUoX(w;t&Rgzw9y%li_ya~;d%?<$s#evJ9WN?5Lf;i5e7 zf}>>*P=16Uc6b+XR?67gP|o=faL!k%W>kzy4~!R)I|H#LMdC^~zdYVkoLwhfI4(p{ zC}V{xx+T0l!n#fS&}!h;S@1TD*jgY0tqrP#tdnI>l&AsyJKyByYjoE<`eXkatP9m| zencq5UUkCH8d_U?1eH6BKdO$b{zas$?CoV8h1l6-4e8ifQ12rnpJSk&fGKLwhiU7R zxpzAc&202FBXUC6v@cs_ixldMj~vSIs*%pbMRdG~EAcCx9KP;5R8pqca}JE7c5iA< zG49u|W9vgNM?5sUbmYOVCqTzpg^mi zL6O_IJi~YM$4J&iG^-So*1@i_dG{u3DurB+(7azkU>*Bt)D;E38E{Fi+!7FZXm#+n zzpCpSmX}6rSW;TZJb!2JSgXSaq68mX69$?!N*8Hh#@5}fs7R*B1E}l_*xR27@LpX$ zd=9Bt2zGxb;HHjJ)JzIBP|5Tg*cc>WvC-@b1Q>J@aa5x*cqOCyH@C2_(Qyvqg#c4H*b*AI3_4*N`2KS)#hqn^Y~_RTv)N_ z1$%TJo0K!<9v1cZFjWv?g4=f?9+*m;xHq#r0U7buOQ$j$iyaI2m*c>hDn)g@UTO0uKum z$IiySd2jez{PNzE^T1y>1AQ~Q_7Z%XE$B5`CT(g>Vt))NVq-?C^4`GJQaxbKux^~R z;VQ6Qk*~L^gzmi`<>l?r^ZQd8XbI`2im)^tqpk1D-LXWC`)9$!%zxX+ZkN z;LDNLz>r>ROLw zQ|TWVH@Q$Le92njKk5l3Kh9|VO7|%a8i2$3Q6yx(BQNQeGH$_!e{|;kyWsr zoYX_pt^X9i+wy?N^4X$|-CyiyMY0NS@%_-IA$=!%SFwA43sRyje#OdRqsvZA`1rbe zByc4o_FwN!xawEnGyYU{B+VR5)1UvA8Q3~*UXpqwy2Gyok4i~%U*n$6$H%usw_S>L zzGSlE87n=vKnQ|dUD%jy?`wE}m2lgyBrA~a8aThkB-L+uKTqk*Ok>mK-`(YB+nry( ze!e8fg|}K$oTKFj{d7vykoSSa$B%p2tNZLZG?Mn!0Ci>UaGxko0&_=P@F9%ad;={?F#flq7`MZGRu;o6>l&b+RT^GH^Zaq~DY_ z;hcGfm_Uz|VX$ml-;Fq(o%6`KhQC=o|JrDlbU%;0+s`)hM=#IykG{>>&e`Je6i|pO zVMFcTgcx8X>2Gw(Y}5w0RnHcaCM5a}tE;O|_;}3u>_#Q*kwrvCI`?JhGz_?P46GUI z{xMu^Lte*o>XwH$$uYuNmSc4wJoanCLDlfWq~#yQ^eg<|`-A!(u1Ux4+KIt`-f|0H z9F5HwD0?h!+2dy*brgpy^g1ha>4JW$5H3u{yQ5#IZ->%UKRt;cj_9*WBuary78cv= zc+;DeMH)wZq69>d+Y5OB*s#Cu3ezp)bi8 zv)-GyLKbPEb@?3N&MT={&KBRi*i;x4r7`wll>BF z`Qh+~K6YYbQk3u{|BQ^DdhxGX=M5GTB@{V=h+1~MbrVun zxQ9$Au{tFsYabI>XTTinHoTe8Uh8&r<|%tF-;|vKb8gtFX}^h9)Nv|S(Q{o8T!o7n z%>C+bm~JTAYN7P932zT%uC=Ge{@M{pXubztf9wAF7jA1Rk@H(Bf=2<1qd;jj{5IhJ ztb}LWPgD7)jpSv2ZK94XNCFag9jf)TFL&=RxgkX^Co0WC&tR8#^*$D5#sbvC66bl<~hVk?|eDL1Z0J z{`BmHL6cxngNPhH^T|StmV+(G{(I*$B5nE&F!Ko z3PndWr->ThIDk=_jY_RU%I1I89v&pqT`Ah4Y)C;D8%?f*w<|N zv*hPs6J36jq$TxI`#7ig_hov|yN|NNjsjW-V$U8V?Yfl#L@1`z&up;O4*2njqTrIY z#l%-vI0VRB;=Now}<;>LM*l`YSA=-Z-crqFGH2&`yR&sIA@)pMpn$ z!ZO@UsD+6~fs~<{(?3~6z%!fV;5t7f%@;Cyk%U8MWFw*&c^rpGzma3Pp#uJx#g&<1 z=D)1PZnoQqZ(VTxS-x3W7(hBBiksnGU?Fkdwej%?4bG2)(ln%v3Q?OeNg|yA?gpD} zigJzhOFmt7I3R2M_UEnjcL$$)N#u_L|BT(UB3(2ve|)UPP1Ax4x;`B@nEeu0GzS-L zgSi{f9U?9TC>cK5Eh-uP^NcZfjX(3e>vB|IF%otu@I+us2y^moc}dOQ+%rzB5f_EU z%WtVOj-JzW{(Kx7EN||O;d5;NBcU4R>$ZNCw-Bb4x*GA zd&&sa(CweOdYq*8Wp_01Al$?4m<~dSRMZAGs`%qsNm-70N4WZr4{CV?GVQrY!^fxN zZMgx+MgWkt@@V$n^N4pHftAQ14La9no(Rq9pWmE|Tu9_c*hl-uND0 zr(e(H!@|BgEye?~aItj4qaHb^iYeNf&s7Ga1^GLl9pJlp9^FR8ed^%?&C=E%CBz~l z9!+r{rCk-DA$fdtz_C&`nhfd2`g3Co>^jqLL08af!lKk_qQ4}(QTr_5=E(EQW63eT zihautdx_WgZ@N@a_iJiq5qmCL9%ac#x^HLbb`TtO5m-Z~;JxQ|)*;uSf0_=(JGuKE zFO12u?+q1WqDDq4`d)A$bzddtr77i0#zl(; zl!DmP4ggz>`!T+BHK?Db9n5<}M|K#HhoPT%rId%)I339KSCgAoZmWLDD5G2oX`1mE z-+bVi)S)yW4?m-#sd@key9~M!)#ve!nJrM}yP<`7x4gvkE@Cz#CLw{YzMP|>oEfP2 z2~G|nNyh#=Iog>(h~O`e|bWW3*zKoC1cQPNjplSI9oh5GK_@2Q4=WNo;GOu*^7FJ zkcA@fddD7HULbCI+K>{NKP6!r%FAr@n3J0zNq%qeB;?q=fzy1sjRbtqE(PXxGl4WUC6_`aPlf zl3X6jKwz3KH(5Kuf!T6NKS}qUm5A0uBg?&!Yt^vg^vokAAbC&K!g4Uk-%B) zjMVbMaYfXV`BW@$=DYMYfn}&0`g0N`FB1%R7ED9bymG$iI;o3wjTU#e-{4KaZDwUd ztADrylvZ%c3SyKW#w_b!Ff@-NYV0<9GN0MFn+-L0k^Pm-b&(4w$Ku@HR3GOek6Ku8G0plo_3OEM);oYJt4+h6*ag*v-X33l6Ac>ZSP=Y7LsH5*b9 zPFwqw)Aq3;Ne2tN&6x|bY+GqOl(`s`0}bTjbK;>IR;)cP-f_O(t~mpk&!8K403~8O zi+d(c;YG4}=;+`rB~cmEBtw$_(G+C=jj+BhfAf22UT%d)sO4_<1;=aoCN*8-+gXx7 z{)&YbS6dZ7-XA)wxRCO}pO*P8k2)iDhvvhOSt7m_>cPygXC+~4&Ef2AqxZ<7FR%-0 z=}PZzq{dE6n_VM4D!lm=Av45S(grY$$j=7r%!kero7Pz0xJ0=E#z7stxfk>W3ra=M zBg_ytxw!^T|DL=jqMkQ@w>~F1bzgDYKI!Dhw_5>aN$Mz*uH4#ZHO17uyPQ(%jD{?c z3kbioxaDaT=c8fd6*@2M?Ze@4pVj@6fgIfnqziWhquhLW-|QmeD=FZj{U3daOC=I* zNaj|+@g%L@KA${FX+#f$6U&$fb_ccE|XTa42)hA;09pxqiGJe<{9 zVKBHxl5D84fxNW^RyVvX#O)Q^N9)`>Z;F-hzDXXxrk5?sVCJ}h{%jg@z5h?1nroJ^ z2dVx4#no9rMZLZ2-vBH^0qGC{0cq(zD1v~1fYK?=P{YuvA|S1#v~)K^H`1k~?0@9*9}%d^&Tc@8q)*n7Y4^E{t-P0rSYPOeNL36`hAVVNdzOz8FNp{_4c>PMw1W z%_mR_cj@%`v(s{MxwJZew|xtohbC33*C!Sh-^YRGy{IecgGs+`R}j!x&0%&;u>rMJ zZ_p$ai+TQxd%3g}r&Y-lnG3gNJz2BI#GBk+3-_+qcpN;v+(ew$r==bN)?5q#Ctcen zKx`A-8WyCq$A(mYP@{fY@$N=tK~)CnGW`sybtjcLcdaT?2Ls@0udwa}+GrEr&d6nE zpcir|GT5#&t^O35&?HW8$zr{g$~~Z%pC&g?w8>TL)i~r|pie_ST(~qo#xpS8sR|0; zL3j)Zs4il-I(32@msN&Ug>n(;untSB8q31Rd+d6;@<0`=I|qJ2%kdXF z2d$izWPR}E&%*4lhM%UO)Jl#)kLRh-cn7~dwcJZkDYKuqCbOiW%4Y^x6)G;iZ`JZM z($^bb)ydfYjTGl9v&cbk7x)&HJfEdyW65Qj6q)x|pMWSDMg5-XgKyBd6`|fqY;Ko< zyBAKp`MIepFTV9r8^4fP^B)}SOIb0wq-5_wf*r7Q-3^e{y8y015^L55<1{7_7ULmyo+DsLCcB{}0P z76k7Wni@Lf2_6iP&r|nhpKylGwu(A<$AzWx^eF-*Mm;(}X9)zGXlO(mrBUs)EY@!y z`y!@0Gq?I~VLP!gEgck!LW8VD9nLAa3kK251!bUO&ch*rBGbU}0Q-V3*DiP@s3)|3 zUde(lY0D=_b3?cF#yo*(Cq!Y@SfNi%s3Sr8qVtF*c=)|SyPDAQeyEU!nXQ}^c)qV8 zb~zExW6jQfs+{4-M_%*OT>@DbkLhyAGO0D3>T(5fM%}anJe6;zpUR=f%c&u4EsXeh z%lzP2iXta$!s*Y9C~q!04}T%WZpr_&zxrvkkgOHmN}WDC-!M>+pUik-HzcY)zeAtu zKvieK!kFh&t`JPQU;E{5B?$$jrYh3Gqbhhy1XxVQ=6-PfbreDtk2ov$zg>L-a;L9G zT!CXUR+P=+g|FeiS4AEi04-3AyX8y+oF9k6%3t|8FVucriB-^Ybdj98@CQBl0C0M* z&{;JuTG&01)V5nS!zCmnQYWor~d-d_<|^5kw;CAt;t3`FtI*z2)Y3r8X)!-^e2wUZ*lK%YPPlEI$3vcD~@RR zz43oskc0}JCbg5}s&F;1UW6^~5z+*v^K)=@Q9!KT-mo6~;FDA_s^nm==gMO~@ep{` z<~>-t_VCOErjtJ_kluHX9o4E!{`?CDZESV4Q28u3JM%3OTX2KSh16+=R4+D-=D4%? z5)?N52j~g5zDVnkz z>^unZok0PD;tRGFJj?{YMsjt_o6L<~-%uAQ$G!W&<%vpkMt&+U#o08H!E|!T-@2{GdQVX(WiUz!9Nmb5hlC)m z&wzQ^i|;WvK2+m<8O2R-*fqGb+5vX_&es`^qXXbH%UXI{kuWu(pb3>-bz*4fI28;N11aV24s8iyeVEm&PvJxr{sm+A=QPdCmONYqOzg z`K#I#?|YsUG*Ne649BM%^tNY%*n0maY3s{o7#x&p4d2kavZk3z%7WKp0GZtcI5JaE>dPkju6(*#y4M~9I|9fzF33l+;Eui?;3=u7 zOjr~dwB2x}0iIAjv?&LR$V)4pPGwv9C{;>xPY2q-tQgbPEmt*B>O+(7-Y5Nf4?hUA z6PfyQV=L6Pn1KoB)%yL&_iH4Z!9y4lx4E!y)IwZ;XdR$D;rf?RXknZb5XFD|OuPei z4tfkJDB#QcxV7L3#zm-6`LWUN4!^l`o)=FqFSEo$X=3lBBWmiOMkQK9D6Cc9W>m=M zcJ@J$m_DYgcl<25dCzs6L>?rMEbK5CpPADH#|pn<5uZQdb?cqdq2=`N;uDMwSdvd8HK)xj9Xg%@!33sc)l(+ zy>ve^=_H=fZv8q%ePP(_qDxWH1y=_2t3X#ouWIb9@E6s?jHl{+{b&kZ9w~K@lkw8U zAPqY6NC;Buezj0#*JbwP;#WxYS3l-5*m!W9XfZ)4-|cshJh;_^{&L z*XB_DKy!%}XBy>!w>cLYCfH|8P7>bT)f%}Hkj{@L$-!%qBdvMMn0orz$r8Ag-N5Ij zA95DvGt8kn6+iy-Y(kU`N@Y^U(XZ*YMq5!y^;;{|H{?rbf%Pi!DV=-*vX<-H*8B;b znd&G12G%^8>tha}Thz7IyNOL&*A+DPtj3p z`V0K74wsCEA#Q%5S-L{Fm=AZwz-W!a7W~-x zbfGB*fSvb1ta&8murkB0cU1IC0`eJ8zG^ji{3@m=YT@T2DOxinjp4gFtZuI#2)j*(H_7~);i{riq$OvsN)TlVx;zC#Bz8P zfu1HWs6P*ZCqy_L37YVF+M6(25r(^Z)&dbe%}aX`#g2|uZ6kvNtEY0nwM)~rydH!% zTl0t$|N4AgKm$Lif7ZKuB4UUZXf_N;US9cNrd5#_h|sZPnYLKz2R1qouK?+3VxMDV5zw*DtjRMjAD{D2X|IDCv{0rd#xm5m(Z{E z_Wpk?@^j_cD;fwz0V<}2#mY?Ly8i@hmI=?9r1~Qo@>qJ+Y&HGnUh8S+3;5N)`#*v_ z#1LE)H7kxWqc>a4R30@S%p8a{Lh!mkEJ}I(0x+PE*y># zpPVEIsh__r9GxZFE5gtj11d3Kl%<^ZVo#?#DcpyR2lw`m-bnAxm>%j0*~Qvj9;^QY zesT~!+_5G{INvU~exBKK-D@HXNMKpZzdN{8L^GtxfDF4_JNRhGt*Xb1eQ8Z004b_v z0tEQse7P1=)a@$12l0L`^&qQ-4U{t4^z0`FFs(y*dY=hICHyl}tbA&mbl+Y>)EpjH zHq{5-_FqT2Gv#)H$zE>ABOs(D*HB>8IG-vyi(|!Oe!m_yPv}Q@to0HS?1xZfZ10~% zkrXWBs{0iy_zzM+WP>t`t*rJ%(c(z%OD7ClV`fWhq$|gHB^Lf<8aM8U1E>>F8elyo z!J%_ESQO?uuQ6TtxxaGzNqS~KI0S+p6->MgFJ|casZ(Bp?FvK*w5HJzL3%b_SR^8e z*{hZB*J+4m6Q5L4U6AC<2?*c@pL-A##B`w*8$0pQp?lE`|;>@vd z+45Tukcz2ii!ekZuN_!_xCvSdD)ouOxp?Y{u%s`aF<3I-0r$Lx&x!?WUq&-)qss=B zy?dYTF>oa*H?2UL0yY+Lx7 zKF6P{#t!%xXeK_E<4ibj(*%zB48oUNX+@im^B#lqI~j;D@LBJI8`K4()$7XQ5Rw|= z3TsVXbi4&T#{iKeGzfOEv@M4nowy;1@}C_L{pW}@Dt9NOmvu=Qtr$bd*!N&JCExj)7W?(fA*%D1kDA?U47Y|df zfJ;;>F8v5a^6Hqf{~H>E=pjM=W#=M7qEn59;kF*APdqr&CsaT}LfcOGcj5LYi`hIe z0W%IjXA=$?`J^J{l*~SX@q<`HzO;Sd@7qagg&)L&73XA$|k`WRC(j}6w5pc#ibJ35l+ z28nztd_pelxreOp2Op|mFD4G)#!Red!hb)WR&CSYao3`bk_LZYAwQaSF%9)hoyavA zpI8J4o6iOX(W82aEG8w%2~nh}ERU_vuuA-?eB0De#wttc_$~>EJEB?cU7ko?T3j3= zE~e2Dz8#ugxQKlv#82#q25e&=iyXz$W_NurLH04N+PNg$`f+bY%C)`HTy^71!C0+H zj!AC{W(}8wN0l54DPp>S2W89wf~FG+aPhK;e|b_=ecq-8kz$Zev-F9g8J#LiB?>nH z;F3MRq5!PafbLN^`XA#Kn0{%jaspE87FsLeTLh|(^a?)BnEpTQeoq00zI$Yvkq2GM zLvL^U-OVx2R~JhI-XQ7T5P0ndN0`C~&k=FT>x$ZKYAnp$;Z5t4(iF|FyPg1McX)=~ zjcZs?DOO~;ehiEz#fi#ff*x3n9V;X`V8IrE9-ipatWqR+!8mS5|NAcpO1Q9OrIOte z3_i@AJ1V7(Q}*|(QZKJ3C+`;^a>+)+?>xs~I|;K+qbKnvQ?HsQu2REN4`>BdUhmhr zf1!N6uS0VpQ=%KcPw3a42|fy3sgW8Loz-z9{^=L<5W#HC&prH#urIu`%%E-BhFwCS zG~yErZ82OE8YEBCRN#vwEV!DnBnmf&gr%fnQPW_Vc|30WD4{OqoHDX1VKSC|dmy!^#f#)#l6jX;KQpb7L~ z&g5tQ-wu;`4B@wW_q=&4o{RWI-ra|WI}fpxS3rmM2eZR^rn%~O(nXX;{OqQhXve+` zB6%W5Dcb$n^<(QPS#%zN8ccX(BG2KwZ1TEbC;plsS->y)Q3%aSrbnb~GJW>!oWBv) za(?C`c>Gs%y12bafsa7F-0HiT-mP9o9`b(#_V4($O4ggth~bB40FsTn@vFT^g(Z>` zuD-@k{6j#ro2*muK^wE&}Ak1wL zmcln$PJhxZH}2bvox+zdUtjgE{BN$TlQQPjFyNc5zK_Gu>v!&9oq*u4Mug_h2XsK(KBWkH`qdj1fvQ!nTr6ggFjXqA2{UG8 z_l7uCyY7N&F48^j^ax~hmJIwi1<7~z5VqQF8Y^~K7cdlJ3rnN;pFAG;j6GpJD@ z8}emcO<-5VHNTbqd>Oat`1q;3MxoT9f0uWPqg+UwI7VJQQ6>J5iZkeMW1Y~UV5nXa zK)5~#U;skmB6eInHvDVFPbD{Ag_W?qKrkM69+>gXjExt%r^0bU zL)JVianYS;`ZlZL>ONl2ffz_6%Ut|)eM*yc{-nNyv&(BA7P7zS_4S`Hy~xq+V>lgH zJ}soq_ut4LS@HJDdk5CuGd9V~(qJ?#e%Bhi9Gewe^>o1L#3R*32q49Plq|?OiLj4$vOjYRMpVxYA=h*2AQb#bUF03NJ8Mot|ie+x24nXrfyt+7SYIvCV zau*<}4}6=!3@?e%BSf#Vz|WynE1DjeXe7_|73n`(i9SBr&xLx}6hMkTdu#abGKaI; zV8F#sm#2j>*W*Xko_11f`Z~oMB*D7!PEQd9596#mP&)+@o6R--UhJY|ER(l*^R`@E z8D>O%{ZO?48i!>nrcWzy+6o|E%-2(JGzwc}Kd{p&|EnN|2dPeGU+h(*pU*aXjxfoK z8dh}F5TzW~N^!A^-U6J&NvA4bT`!RjqZT6dPdf91H9Jb zgUQ00W4{e!8%*D8s3RI{>(LLdMaqQL)(v7n)z7Y^ez6}Fp&lCmQYET{#m+Z;c}~HK zdp5~Jk3u({;j5BvY+FZJyeHlq*YR2J@(IOaA+#@#G%pz4^dI!oYZ2jC8pikO2fsi|Mm6V{)>scpqwIz>d@$r5U>~6Sh)Bh7o5bJr-6YmXI zTzXVUOD-f95FAQvTXHja=miJ08~7gKCfXZjHC)Fja;mX@ZW~(pWA~-D51sY79N#!K zL_rUOZfRJSm;)T`1TNYaC>ZsBBJ+E1~xn5yJvqvfCWEK zTuMku4FN#T#0~%zhsDQJ_LiHPnfZfZ->FhyQiuikcaFYe02Gi1aO;y;`;*w4wuU() z3-sq1zCQs^`_45oGP2`ZU_12=3w72HtgSsAytn!2%Z);`Yhm0*)$k;li^eI+K?F0iYZQc7y9S=f9*t{ZQ)! zZy$4ct`Ut@&1&yjs0dWsD5~k4wOII6Ri!M=vIgG(K{z;Bn5h(vW+w%m?pl;~puf6O z`g~A$a8%1!%=gU784+D-tH57HnC=7*iMroh0J8DR<{hZxIODdMMO34K3Ec@J0{3uI zM}6Rp&8##s_9^xmf!XV1m(JtILO<~Prtf8s?U#~GC4U}&9cIo+GwJai4|sjhW_aii ze1AyG3eW9Zt{3uY*(F2>Jv-6KH|8K&s<8*aW3fJ{rNGnvp|`b;jVi_*e{Rs+77tY4 z6VN&MQcA@uq&W?%mm!>jO3n4S_2Nf&z6tV5|CIwyIrzm$;?F=diX}G<$ZNnV_ZUNf ztlq_L3fS(Nd&9*+3F=*m$HNOU5?gca&gr>B!MWYo>Nl~>m#E7V-(76z28<6~`Dd!S zrlwo!RPNHUadQUD$#b8cp6dkT&<+pkfKyZxwzrm_6Mfj=#w9GhsI&!;G(B`ng+2e?)(t-68a+y(K+x?Wad=VQ3BXgIYQL(D-x*YUt1S%`2Qcq?W6_1Pi#vuCE z?@~|9%^C%p)MND;DisD?q;VriCTC)Zt7H18*@!lPaN-$53*@$nkXo3vYXgl(eZY^4E1eD zZp3^S=gyP$i!6X-;rq2@bt_J>^Y(4fwZ^LIEv>Rj_Gz&za`?5{xEuee3G(2gfZUQB zFQ+-Z!exLk4tBP6$>oK*)PXv-O@^-O3pDNqLn6D*&cw0x@~e?(Lk!#yiFF=J?p6Ui zX(|$1t+)dH3m@NO1pyFkJD}ckW-2ixWfZoYtMTSh3gL`Wx;Fmj;OL%s9Q;5)MYtq9;d3or=!9(y?G}y?t}q z9CI7rqor@SbZX!`ME1D&h3a?CxTBd?z55Y{8_=#i(G>JdrG9ZE;W!ZJ?L0O+&46`N zUIUJh>akG zjtPP$VPWSB6nr&`)f3!!%Mt~Hr?d6rT6O11Eqy#I$99U(D8u&vx@u^ursrtE^`n$TTFh2%>Jm8Kx8Ee! z1nI74KqFWH2H4Y{@r+U-<$pZV0UMZZIZWPL7yh-76$GrbAVfB5h@!)9|DkKGd33e9 zV4_1_G*Zor61qb%XuybdG;gXxdVYkNWR|s0U}O<8S-x&zZLHuLwoNv90K?9|xb6Uk0e-9co4n=4QsOy_UOl>1T_}Op z9$MV6_Z7oV2YZFEAazOn6ZsniBSD7$+5c`me*t({5}}>-r5=;6(;gPtsFC<@c6Qrwm*K<-=!hy+1 zzV*FWS{x}h$6b-?lMq#b)W2tM8}0FbUC3^UnVyj`g@-V}m*LsY)%04d)bnkiIt5Zx zA1Fwc$-BChgi~$?`EtI6!(}znlNbR4isn8IysoTgqDQu}B0_dn@DBPF#?T zAHSL61+ZcGn@nF>upQR8*thHq7i9I{wxr?2!-{ZkVD!WWC|TG!inkW(@FUmdrKJYH zL`e_N9<&_jl|RQCCTA7)BBLq{WF?kWM*b?i1#F|SaU4ZV{ru@SH@@ml%l)qe#_oC5 zbdDf~F3jxQb7r%4)~(cb@Cu-7)1H}UJa1eC91~WbM>s)S82PM5_wjy9tl#eqYWjPP zt!E@8ymvtYx)b{jJVvxe`@x!kp^>%afTI(-eJ&kO2vKw_R)UC5?E?fd{0MCz>pBwRar@Ynnpi01_NCMl^YIVf@5eV zC;j=VoI99GRO3^A6>Al0+6g21hA+9kv}Hi+=6Lv3Bpk+i(0^1hSLJCZuscCgzsL8G z%HNoo%d%uY&tDQiUKQ$9DyY-zvFymA`MwIklypu#oEcyU)h~!jVQ!m`>;V$%~pQ z<=r+AvHQ)LEb9*C$#TXTCLP+0?n5eW*wHqt-q618oTP-(2JodxPO#9|2;sStcB=g$ zR{tZ-);g@V_<=Slr%v<|c$eV6T!BXh;7UQ-o&@EmrVof2YJ7iPDe!6Egwsc zxq45yUdMuL6I{VOA`qCxGSUDZ&G!>XlY;5n2v@PXSuT6Gc52qX*5zFQQ+(!g*5&KP zp-dJ4k3F+}drLkC3c(mCn%X$s&r z`R~eTL91=gp01p633Kv)sO)Y-2-T}zgS0VzvVl*=lRrkg2xaaZo`8B~A(!>-(s4&` zW{^p*tZf)&xqDc(K>#70J|W2%6_N_I*HmdH_P|MLe-S4N*dX7w9N#~AzaW$B0Ukik ze-o!P)S1=^P<_iQCy)0FC?ZkWFzWDzoThnnao&`xYUgAS(+C;S&o9?!tr(@lW z0}7E1^XoxVwrDr0jMBgbkhBDxa&54ZXIH0b)Zd(Ou4|1N<+X7jf*i-TCKTknF zJl^9~WDEczA9Pz(QI^e2x=&M&vsS@syk!oHToTqtp?K(SQ5T+%$gq1sj~vRziE%go z=;0SluG4LHA~Je=!;uWP21sZjw@S1%~>USBf|M$s*6Gq=GX- zP}0zK9GM7gwg!lp9foHwv8uxRuM{HQR|A{8CgZ#*S(KAnj=aIkUR+D2tFHooX zD1kD!dV6#+TgW_6Qj)#YVKjOK&^;C|uL6o~`G8+pjinVvTL*1bz+%#s`$xY+0{HVK z=k01YHadN(_XNgu=xTWtd`uR7lspAMHx25ua7Y*k7yMAGs`jLd!a+Y*^V2tASl-=P@3sDTlftTS%q>dd?{45!QbC_4tMv+0$> z!hj&Aj_t#F)9bFF&~9@wGd5Lh;8vft%F!*-Zh2aEEgPJ)vFr`_VtVTBBD$p$D`5&E zbFyWPPbKLij?a$aT+OF}sU}v;S^Q)W&SLcY&{k|S-q`2KqG$8pzcbMCGW6jW8vYIo zN(=gverBJOBS}Sr8S%g|D)QT2$4$*g_!oz9DYR<>EI@MldHZPVBxOrmg`()Z0Sx&9 zuVHi5GOQ5p=V9}*6%?vfv*N>NM!uhs0IfSzQ&hzRz-8KrvNHWmJVBxy$ z9ca#($&r>w%H%FDu+P&;j5`;LX-fb?h`a^X@bz5)j9DozVFDFpt@$e{POUXl3W)pK zBpG|7m#M4N>&M^@6*?_`1WKPg!5zZhToUY@Pp2PSm|F|Ju!kodYA1B9{EV%43)e*86rCH zc$TEw*Brh4s0ZyySaiC<=u)jXxCwXa;g9|?siNjtfHLp+LFlqtPcbi3&~`BP8K5B| z;7OlSkqVGj&$P9X1g6bmYms|0g8L)nED?a(gyE zqYa9O&{x&U7ZPRcCH5LhTL6BAXN6_LgWI&?R(8Pu2;Q?;>A(;+0wT$(=Q*iBmy#=K zu@*wgTO?qfhVT=Rrn<(Gw|mbS#{q!fWDrnYhx^}91h%-cD!hn{0r@OKdIaqDjleeH z%y?Ns(3GF*{Qf>|W_u`+tEa1ZyEo;vjLUqE&st7+-JNIe6DQsa>gfhyms-!Q-Q1bT zhAA$Q`Z(3OL^uOCUKIP`$ouySzt&mu8pmK^z_6Ib3s&k zPG+F#RTuiRQ)OkTs()_TA_b!|aZkcjIoyr6C2mc?ctj{5We|0%h?Y`B+*S6#bw(0` zo!@X#yg4k~AO2N!vN)qn)Xx@9b%JwYlEuRwyHDi0ijt>XJ z64pl0V5&zD=v;!$o>d8bP4eIv#7PEUd)H_^TXzJk1i*Ts3rAiXk0d9X@aJ*bp@|!& zDx^GXB*w?H!>;cAf^7!~MNgQlnaQp<(s9HT93nHmm%i-m(pWYew`TCY_-#g4JF~D^ zp>zX5{ZvG3G}pL`fm@+&=ZDZnubMA{L^Is)oC#j-X(z=7N|Tku2jMqCgaTkk4b*r> z@_%h)g9XG#eb=!fJghOiP0|uF4bah0pxh`cfcFH(nWK7;_wsrt6@Vmx#E#}oSyf}R z?_20m8~=j7o{zSv$e9P_F-4+x3jIAuzh*OM!TaCcylbMhVPDbFEkfP^DChaB%3Bgq|qQt_O>3s&?IK;v-83Mq4G^craMG8>tg&c_)rShw&d#LR$e zB;;9)76wJ|V%?yUD^($!p^uR46PQ>k=2xHMSC9R#pscJi$29SgaDuLuj??IYXRA zX&I=S#U?0UA0vv-_@1_84cb^qgCajo?3n8#2)|q4!q=P*`};0%FC1J$@autz^~-uHS`_D_3I$a; z*mwI5>KWNT%2D9qe2gdnn6U0*+$K2(WP*2vY5h%{6frnl?TQM z^n(2%#%@rL?~iLx%=FZ{Fp%laUi+I1Xk9kdK_%Y?Why5DGus?YJM-Lz4^sw}0OT5F zsrCaJz=D4tmPU7y=o2C4Oqd*BQmk?fJ;T~kJK7`sJGcfM#)`#eY*xTU0{|BBA%=Y# z&?#yIrE({QhKGpoyph|nLYy_J<>zvneBu+g!GUV!x!!sx%Qr0Tk#Gpm66q$UaOHVl zRf!R5-IP#&6CJBw@lM>n2KMT~1NY|?ZovP@-^VKCK7*V8(04?-V&or9m-5Y0>jWb8 z3!tR0#TaR3^a;_Hp@k_R@emn~q{1R@T>@{=7do#r%8PP5jAcTWMzPyjNTFdRL$ez{ z)5IiPD<1rEMf`5N=T$e0Qz*2n#?~i0r2CmC4TUd1N&*g z#%FU0@zSBOkb3|V%Kua)I*`(w9>nvqVy62Bahl|cZcJ#Z14hW^cgwjU!3uKf2|tuH zcTbO_pE{u^)!MiEzehEKkLR>N7-|_zax=NLoOUYT3eGvj937y>PoI}%%g;2edH}$H zoxgex1t48f4HPu@LfOE&R>|4}^FxaQCJLW3J%r|TXC9{1J457Hliq@Way^3F>cfKJ z7H*4MI4He|HsVY{gC5sP=e4qQRxo~{W#l%tPq8ZjbQD3Qs+-XtLj1OXokZQHpld4t67Mlj=pLPb(dNspYRI_I~#`6GOVyZ3j>iA)Rq?ag?zSx!9x)juQwU zYcNV)b`$`dKM3<~>w~C>aK(@qL%_*8IO<=+7)U`}b%50nggHryfL<}GwXvLeGQanv z77YIoX&z!)vuhqPKK!QBVW=`!B5&vP=pgbF2RCr0-^ABfSpH$FM+BAxuw;??n-xD? zaOVPyk+6k*8~VGdFE10?= z)ehBPv6iegZp?f=|2)UAbZUrI5zG+%Hft^OOL4?D?r#=lnC0}#C$YqvH*5?wX{$=C znx;jkZb=v;J0H}~QiQ^BnmqfS@gQhI9Sr}PGF5bV*ye?iXl}wsJHb^1+3@>zwAUM( z2*+h1qC!5CR>v#%!IhiPymf0G%m!jwD@CKmRhLwSkL{~e8Tu4Kgq(G~DQctLr#Q@( z&YT`he9>!|(nVB7RnG6Ay?19o@<0DupMsEyl|UN5%gFD=KyBHT@q@3+%#E2fd3=Sc zcPvYOnua-eCj;hlT$~+uB1rW8kE(4sp5HI&sLVLXqKfQ$t3T;N=&ceq&WxlwwuE7E*4M~1)e7OGk5f5> z=05=}QW7a}dDMyF(;a33B z^W~;6APSskVq*?WK_iV`Ibs`(;mG+~h%1E~kivIoel`4lP*ycCH1u}0t0O$4gUBR( zGz`rE_L;Kd3lifAn7#tY6V9>Ti-MW`Jruin1JPmhw?hQXoNGC<^Rkz;P(B8*5)Drg z*uVhG%Q?#&V%Z#v0x&8NlS#?N;o@#nCKoAs{IL)4pFsw;%eiMavPG)STfI|PXi&E9 zYI`xX0`73VAvFrtyCGRA5V2h^s{XNY_d?)rqXHSl%k3*ECflRUN?M->5=%y9WsU#<**V}v&}of&}L0JJ5r*nHmDVANOgfD?0mOVsV& zS^SE*Pt*sEhvjxcqN`$@E|^+D$R1D`r`kI|g=A?1BBlB0(-}b>@xi+~aEH?KbsinB z(LH|r3OX=3)0sASF(?!BIuz^fvdLV$nxz?b1H_hZWeBitTJJ_O8eg95W&f+WbOu-mIJBU?`dq`e!9P zwvY$gKV=A*W*jp$XqrFA6Hk$Y4q1d?C1{`@Jg+7ThYfrb#r5cz`juzfU2&b!8JH$KIz0U})%TNG(E&r@4n)e0pALdaV4BO$E zaCH7dthlStyu_+G<-pUEr&+v*);kk=dHxpuURAI^j-buYeY~`r+S)AlsXxp7KUT3X z`wn?Jq84*@ZCo0tXXd8X8%;-`wEuqD50;V-tGrmzRvMuybY5XGnJw1*nAIHfY~A^j zr<|Nz7rJ~5@tS1HX{Nptn3{LK=&lkjPW< z&A)rU$uQG*)b8f%s0%$b%lb1N{5v7e=P+atDYh|4)b9j+~@Yl>2OawGu3bq9+;%-Tn~HiWoXBbLcdqp9mY*Rc%K>-Z`Snm zIsVA@^KUCps*foRJNY~>P6uNJ&VL#jLKtxCk4%D#wj)PCd#)<_Cu`NrU@$M&>a+wc0GHOapf=-lo> zQo2u;H%B@0u$2lQ72J35(%JPaTCtFtdJnmu5jMG6W6&kx{jTz5P4Ds`dxw>V35OTj zj{!6N_te7P`tZ1FW)h{}GG3>3Kg*EDm-uw)oni+5jX7a8`ZAg64fTXZl}Wh^-%3DQ*C$rwiE zIDzSm<1C8whPM-S9Ye?E9yj%TxK5!TctOV~W$WS(< zw1KF_h2J^1U}O$*Hmgvu&m8fe%bfu?Pk|pdwNSjlBY(!x5;u?ewW9eE)<;g>mR`xM zwao3A(!y^z%YocWUvt+yF1Hj;iL)Viyrl3Um4kF#)YyK8h>f~^!Rn=f$ZyyPa%%MI zF3_CJ-0@D(P!BhWF6R!~h|?cZD$soH+|dPq!vu>$F4G21*Y9~i=YMv`*rAK-Lr!w7 z&&MAN6vFw7vNfn65{0#^q9@Nht~K;*ek|~JjJSo7taim8QgIAccz{c%68~Hw}kb{dl>e#P^rurl{x7;C;OTJq?db9zvJYV+foJ zdJ4!Ga6FO6S+qn&!?|NnR$EJ*m-C*cX6+-uwz$9AA&GAOKA2pv2X4jVP;e_Md5=?C zv}z>6^QZrKd_m`Rf+zIvQV0VLzn9jvT(?T5M z*_>BJ{2>k5S{qL{R>9YwB%Ai5L8Y!nh|?#GXLmeWq~xKz+M8H{#%{!)6W!_nSxOhV z-?$If3ggove%K{5R@#t$+U^Cg0t5iN23djWiVJMZ4xy(@@eY%==>e@*@n zacblwop~v)=W^YifN>>j(aGRGhOSd5l$WDCK$_cY<5gH+dKGT~y?6@LOXs~t_*T9K zM@WG7-1h7(T{QCKvFEjhzndS?pB))+#%tzogIAOCEH?)HSE82>M*3 ziX%8SJztxY^G4tJqjWodA|hD&Kamd!v?qyiBQvz+4f5{&7LC&fTLHzxm~?VXsK@o8 zC%9&_j^YJc(VPm}s3anZ#dn1o|r)ao;&zy5b1HL$!`9n2MTcD+f`Ef!TtgY1!ilwX}r+Pl=4YD#str* zyWJ1Bo!8FE&3tmA~715sS{?q58~fcD(P7 z*A^Kd+3C8MiXyl?8(~9u^SCtcL0(l$+IK#hU3U|to%oIYf|AUhHc&bjuu*&4)=n>; z%8qSW%}8I}+Md~DQp{bcZ*aRAOt)Csdr9w8r;Pydp_A-yn&(H$&})}Rm*>7$0~5W# zV8AoY%Q4>$`V&UqrI4i4xL&h~3Y7ekLiaS4EcYGv321T)3yuxZT^ofNfWS zF>8L)fQSuevKM;!^2=si$+z*?5wng9mrw9m)JT$_)t%>GKZBn;S4XLUQziVFE7uK8 z@fvSCX~LWG^Ywd4Kd%SDIqr4*AisZ1o_K0dy|? z#o{#2K*9xef(5##PC*-O1$#UsNp|fPU(ffIbgKq4rWy|g4RzKW$3vyC2aLtb16cJ* zZG`LbHo?rOA=5-MJsU3l<`L!L^OV%3QRk4-uQ+sMt#dAI^ylMTuCAWPDQ9ht#r|5} zr6exQh4n=4&IMXa0)6QWgc6Ye7 zG`-Z+5i>BoT`@S{yU64`JvF1kYg>cTqwF&B%jSEPe#J5t)zzOD+0G{mN(CbNqcUmL zzwII`kW+NBGn0RJ<~33=)u-Y$W2iyphz;ZY&Z8b@J?F3+hNa#5ulvLcL=wo{)PAYl z@KRaC6dV0fypc)jb!gMt)8O&9F6kjp72X4|D&ugiSc;Zd#ylZx7(>Sir4&>=e<^k6 z)#FqH;@#gH*Kf{ z*`@2I3YpY-?YOp08qzKf`x??+z2aq*QeLr*W6&+CtHIy2~bmwxwcMq|>5J(?sMw#lh zd*^cc^00ZQamza*+v+&t5_$O@0Vr*c@Y_?z7a9cw2RwXY#4y=<$cDH0o($l|e^c`@ z9(dY(n` zcm=QG$wq`9&>2A}z7+;jIA{Dns=hlK?ydVfgoKa~-4G=RqPHM~=s^%}^cF43=%V-D zqm!tK61i%O-g_^jMDKOTxv8{ zHH`OgkOb9moZQ~T`)Go^{V2{S%^)g|t7ySM_pd_UlTf;-?z(I72gG~mx2LdXxk2l< zhn;`+>8BY7EOZqFoZ+7E(-J^fTa(Np+?|oH#=YpD?pV;s~FC1M28LtdS zy1bTE2vD$v-r903zXeVkM9kgZmI{)GQxYR+szqKWl zD^uAirpA7~3L6@O^=aYnN-WH&`3>P?*t4xwY@Tmj*NnGR`^oCjr;C6D*AQ41XFMZPVy#v(=h#n)ECw#l6D5<~p(0rxzl^NNI9u`XF zLD?83+(OG_f}%6KWID98ivr^pPlO0+fP!>unJ&QCneuy?CeCgHV|OpfJaTSYnxpv7 zh8u~vDTZ?Re7^mvl)pWQV^3XdjaGas|9NHyZf(sU_tH{6yN|mtJ~ix-M~MpI6*{mV0l+i!8adPR$I)9!ts&q)=9c6to*^f=7c^x65P zntcclgUo-GaIRo9pv^b%FHNI5JTB(eBbN=s@>Um{W2r^HB3l`GyiSb=TH%i`4qQVd zq6SGlPCU9Z&9FS9yp{;hslqcCOA+!w`?Xwq_j=W4?_gofM_O~uRbrH^;@%JiA9Z~w z((os~pV??C?>_z50}RCl?G-jFDA^IZn_bh+PP~{XjRN|Q-sFwCkJ0B_&thz^9B=Bz zpB8I*T^e_M(zGI4v{y}iLm+tnVmT|-f*9|wQN>SI@oO9O2s4$Kq=$1BQ}^Ti{LPzx zqLwuDswy}d5;UQIYb)gAn#|U0)f#N~B^^+DBCfv-CQ-iC85vZdGX!_z)hR9_6r#2q zGu;cy5- zYX|PjXjX1gVL3tGk&pNb|1>sD`R%A#Tb_WOtF=j?UKm?VU!h&!wOY$3Wjb3Swx{|8 zE(E^$9rJUFRgT@RH;&)I@w$xX&Fk_%2kx?e8kLwW60t#p@9}HoBKG5N&{Q2<@9*H9 z+c*M9M2NQPX3ggMnK;&Unm1y8ad)HCc#hOG)Zj6rhD z(F8CRAfI*2m(3*g`^m^qn-#D(M~(c@7)9jg1u4)y8`nj_-PsDtDHY_yv`St@j8ATv zM!LcwW$B?`#!bpmanV;h@ltCLtwhz{QrYIGHnLAMcn>#nsZ5Mq+*E9ZS#(RatOUQR zZ?!a?iMNxh7P^QqyL_rzDfP#^KjOFN`O+kYk95s;Hnp(}@#cZROE%XR%x3Wh%4NbY zb?iTBc`Zt%DSU?7Y-4Qp8Xh^0ALKb`yl2aJrN7T1l6H6@D!3RY!}HmcxHnT1o|8um zSF{)LY{<6MMps$__bNUQ%X1{(rK0&}LF||xN|ym{Bw&Aj-Obp!2o&7j7?S zYL8ucI(p6P*G|)g3d2+!c-ioMSFXLH#30`u zQl=-yM>_RekNAL|naoA8D~*U(E-pYsOEXi0TU)KnyzA$q81aH)BQh6`esVnym5mzr z<-_qvE@9!mpA-rl2jtn<0QLc!j-qv!Y3al%ES|s!7g_gRIcP8`!i`qNT8+AXL$7|L z>O3^1SJjS7JR~yH{YQ9ma4^niCHaW*eCetI&jwZtuifP*chVIeAUybkyeNm|XX@2> zlPwbJsm^0fCJhT2j&i1BVuL(9oV$k1+Yij!jr9yl`jE*?wwPHpqepQ~CT+R2%MIa1 zJv{(_EEl=)-K#arGEq>@r@(oFLfyYyYIKX5zgqbMIu1>>Wp^sPlZ#81`MKrm>+$h~ z8PG8we1d86{LYOF^IpYCmj};Lrt?DSc4UH?4V|yee%8_kSZU!7hq=lvIJ$@3i9F9q zcT9TR66tP>=>0m9)D8A~28cM;yD(K$QbH^GL=7=wzr65Vw0G!T&1_3rD#u)c$BlbD zDUK^o^AIDiAaxj~OIFjz*DG{9;7Ur7Zs_ z);RjsxOMPKRcCOol6csf@e=*wSCGNn;gfzhy%S3#0QVKevJhxfAwn25mk zY#s4yN_s>4ZtAevx{v0e;1?1yLc%~1q1G==&g|<39NE^qouy&*c5jtget?-`Qb3IF zgc+(p=4Sa&ysYHCV=o>xJcN!KI=kzux6QK~XlA5WvkS%{ePU<25WKYzIb2wF{Yd-0U!_!jIJK>cHG5gS}WodRZMk$h?NNje194$wybrgCDk}(ci&A#x>LJ?ioQGF7*(Fw2pTOBt6JCX5S6goE1EGD2GWvx z8BA3#c6Lz3I-YAFNpleq=I1(nz%g!Om9ZEwl_UkP>~2r}6e1qQ>%>JYt~1Mf82-7r z`ttl@I+XCih|ge>$FJ#SQ!2{?03B`HFr2DzejVqP<9XYf1e=nnkG2!7;X*fygMKf2 zRy>uIDV2T41Q*#Cnq+z~J|G&DPs-vYqbiQ6F5=%V5b9z0oQZ{IbT{6O^Y0WxUqp z@SRl-;7+6#O+#uoUIYZ+mv<|H@9cch+eU8FBPtuc+qw&8PW5Uw^j>-EDARx?!_x~H zo?zV9Ri@paMRN5*9_0$6vrD2q^gu=uB=c2P0P<4ar*HoV(j#EW8qhNvFc%7kfA6~H@i2J zOkS6t1^~dqhzz3^)s9wWlNz;rZ(M^7M^=@NEH4X5?1CV;k~B~m;$d@^R@48YmYoW> z6WB_EbfY-#@KofV0^;&Y%fw|=pFeTSF~~X1S={z!9JJL>d`#i#2mIF^^Ao3t>stlt z8Zgdb(ViN4Z%65#&RM=#roQy|_QChdxSGuH%tv~TyQbBxDO5j)UI?p)&W`u*I6^>j zmt%@F#K`5-mwI~1hHlp?4_5Uw1k+JfecaOk4TN5E*ySha=G4}3TEQP zGL5JVcBt2p@jzBq1cGp!epIXXlV)ib#M&nJ=qV{NC=Eh%2n~H>J~!eT?`N>2a);tz zUzAEr2U&OtxIoxL8^QVViOL=H`6OI7(2|u8c+B&TU(`TJPXSm8z_o+Al{0$8 zf${)SR%{m1qs689{w>L9jTyly!F6I5c+3$?76& zUCxSdRf~Iet+nknTCeq+WZrg=2OPF1dsM}Q zf-vS{7AO67gt?1L`nY+JYZ|`hD9753>p-ik9!eO8c7p2J<#)WwiFw7pwGouwvmaCV zb;I-2z@iA{3KE0VtxSoeCeF+$PLeYKIK@`$wl%XCVE#$benMmDEd<`FIml(GtTd{) z|JX50K=-$>VE5NP`A4}7b}N}4BvQT0tr4KCs*yj{=kABb!-x`|?$ev(V4+us4Qdjb z2Yg89^SD`LW(*J0TjHS#I5NsGS=3qS&1^>sFLh;Ej%t0eNmw-28-{=pB%6q0??ct@ z6kp-mr^#;-i^iI?f!QE*8r)Q+e+( zV`-SHmmSyhyhJ4`_*run`G`sR^8li)7U@}w?0`5|Dc9ZWR}O7Tq{Qj>m%U!E$UiF$ z+w*klG1hy07OO1Ugw%;y;>{NnU@r1-a*}4BTK_>%!N_2@{`fRj;1Do}7{1fygU=Q6 zXW6ml36Em$=-04%km49=tg(qLBo<12C!=r9`$eN`?M~Aj76fw|XMDggfBB)SiWD$n z`!{EZ`@$kR4ewnh$`-~CxNm3vk=2hykqZBJ=9kWT!K3{z^1h4-SK=oe=6`}JI#4vO z+S}Vh&R;p-Jn=p*zE&+8yKMD7#XAeW*{8PO8e?m?+OgrGe8ko9OM~?k++x(#-HpAV z^HW9cdP@HSI@91u;d6W6-zxm7TJ*jE8Zu@6@|pL!(#=N3REZ~XHM28?-U=T=wbqVs zh^M6XXWIId{N?Bt*`Z4PaGK|{M_%bc!HCIh^0mpmWYc4Wct zd=R6DLd#zOdEky;NcZVSIK&7So{I^lhuX|=n29sX_l$GnK!zk$<9qB4a~ zVfO#luAnauBmeq$^3kB%`B>}x&pN}}y#wmf71#CH{JHjJ(#@)OcXKny-OJJ+rM>E_ zuPQBV)xX*DPP+|)svMuc*e->S%{Mx3{d2_xdoYRsK_}C~5>R?ub`su~OTWPqj!H9V zyLNKRTCWeC@FY%J78-C#3kps`*u{PDEXQXiFW_zjl)upTn~tK1{DD$vwq~4q51->` zqMaz>n$2$UGS$R31L2rltLMlza5yB|z@vc^v(R=^XYXgM2N+NT-cJf||FFw`K05|) zDbL?W8YYfzUGDM3Tq>>)F-h>L8B6uD=5yVXmf){!iUZ7Ef#p|IHf5T#q{ec8?t9EL zo&=|{KStk@@_|1@Z`&xs;5Uv230p3Xx(|3PPSRZds>tD*v50%Lpm;>97)Iob2KmeS zRuUL<=y#?hcj}=c056)*jKWay5v~k2o50ard5A3do>Ao&L&W}!5sUtce#J#ijVEQSahi+}ZM>eD_hUDEOl!kV^m*BZGG_SPz5Xj}o_Sa-hLp3-X|W z$uzrzXrsZgW4o<0z zK}>MxXQ&-+)G~rW3eN<%6bQ8aQbYS6Qepg9KrA7S1wL4-UK{9sBDujlee^2(gKB~6 z!Hjz3cZ=CGRCXJ3=23_m#kuV3X~;*-+sa$RwQbdI*56_GHUpt~@e*{(#T^f*UCJF= z|7n5NT^wqT&qgUh1FdTP4}Z9fsZ3PwHVBOX5LoUt?1CSl$#J)M@q+i6{xvB;q`mxa zYhD$%=*9Kb#ijerTw`a(g@gC!MO&9ecSl_$PUAk#CG=*hu>;&c!!fdlYAo1j^1N`@F+L zY6PJ6s2`vD(I1W(x+vE-u$%}d!I7GD{S|!lF%HjAgc)_8*w<2YE;CH;H?2aI`5rLa zp`Qzufvdn}38LzLv#UQzqO>2YsF-MsZxSHf_MxcJ-o^;kp?}l*NMkkzt0(9QQtEcwIB0pDF>asukI> zIFMI->`iVRLC@jy-D}$fSiz_nQ29(JkMgNf!sU|3INzWzHPJ=BTGN!!tDuBGceDHD z@6i#Wb)!%q(+0zZ~CUBDDc%)Xs znFv!B7VLRLmyzN6>$u0|t3sgN1nbh8LZ)ufx$aa`_Y8J;X~CkgGS_Y(?ggy^^b4y+ z$JKthPDzrWcY5ya@T|hmev)NIq`XklxVi+jwm)d>e&mB3Z;3;nN9x&I300PVD|)B` z?xDKF%l@f5CM~cdg+@JBOboGJre>b#hMmHVmi8D(99Z^-d_B z59c#rGKVm(oy7X=%}~&(kD-w8K>PwJK`nR>40pAScVSBhPE>t zy!BOGwsO&~=oiY|CdEFDp6-bC&0nN-z9lVp7?Bs7tSUfxE!mk0>7womw3@AVqM=Y1 z*(FgbC*^G?mG#qWo>|%%#f(_!3!`>i*8le1)3@(+PW6iv|GRdUG40AG=U@B*;1L)o zBnUdam2T6#_l?iM*e|nlw4!gEAh>nzW zDbuA+HPIQ+9yF}sb&HFOu?1!uxwQVqtCFOCX$F$Y%m62)o};1(pkcYqSeD;Zqe~?R zEFHGx)?s^A(`t0CU6)K{D^8IGGscBBwn`YzYDe{P`dxE4Bf~ez zkI=L6XCS$N%;egYA=Q~qkN5cG-o?N7+2s#p^JSG?`t}e3OP~~7Gtj92fN_Q6uw#b` zOV^_hDcgLIX)i>`ihF@psUApSi}{?H7W>LE@#SmEGvTULO8F=}?v|z<$^BQ|&Aj^j zuCq@V0~#cC9Q1SkOsO+-u8thONKw>t-}A%M`<20$p&8yyd)EsgrukJVdaP$3_@(4z zMI9f%5_i!^z3UZI2^26@^$9-spm2}>J>vPe)@n{290^ae=02iYfBZ{;Zq`L_(X!TnPR^h4kONyHL*Q@%5`aaonbXB0wIF0_GeY+H zBk}DlDTL~z2pvk{rK)3Ix+kLF+M3Ulm*_9sJhIFH=8IXo2(Cl}j+GOqo&lz{NxOkL zfhBNw&1*RsK<<0|8aGNG#~r?7lQ80WEj+Wb*7xD+z}_q5>N^aYlUpf!tye)`q9po=ljOX+m)-o2Sl|cJVn?o0V`>av=92G=<=^#ONh6xU!^0C4 z5&2OBEhtxC8`N!w-(14In|a(tHCNbFuui18ls@zPLZ2sPW)3YEI|Z9{E6#<&}Rm95;s)Saw6(H-H{n5kd5h_w@4 zNpTJ~gLbn74i|l0{Y84XxY@u2?Kf9*s43XbF`mFNOIS75i<1-qCmPlPEW}mKNAL^L zd$|(UX-BkgdBhrICldF}UlZJSY2o7x%wLYMjwBRu6<+SPQ_N4x@^GdsMt118s}{Rn zQ|67<*T0G=uB+rX_tNHfyDCNSw4o}~BpUPh9RE^QyIrqDMc6x_`xdhdCdJGv^o82H zdy)1&%@<5h+9La2VD^h-c*4|%$loV(EaLoR>SD9klF5ymQ)Kl<^{H(m{GgyF znwILEYDB7?)wy%HEE&%R^|zLUCN!I9oaE=g8qlR&E*!+ySp)8L!98TO+FGmsex=*d z(w!VO*U@1n3A=XB^6tx=_+m%JqGe;X!|8d^r~0!pg=)etyIkyJv&v1N_yx}MSU_L# zI9Nmj5M)3%)i0C(B~#%H<}_Uw4lvIC8HhDWX~n;N*Jp+GF+|EFq^41-tB5+TZ7y)` z)gPsJN=$%t<(Y!naz}ks9gp7yz#P0I!A%X;qZ~3j=~>$iYVPJl$in`jE2g;XQsD` zbq`HZEt7)tRMMw<=pk@In!;iDPx;9`2+#F`ld#gxcOjIKx=nf{=aRO73sKt|YlkuLE7fl|sYfUM_q)MNW7uEO5L@r=Cmau9y+^omj z6fJ#!5n6f9{qJMS|H|H5`ER?ttO}l6zVa0L-vim{NYjn&k<=H~rlx-gt*w%-yh>0I zm(%cPZiYaT+vVQP#m#4YbSRs7@}UC=!?d)qiKEv|pCavE#R?P>dX+q8YpeCH;+_?5 z;XM=F+Ey2~ve|f(%V&}I_0`*E0>Y&*#TKxso_suQkRdp~oi&DFOpruZHT|K^le-MzN z4{3!6dk+NS14xpKq(>S}L`8hW;#qjIooF46VLIv7-FYKZG6z$BlZFC8VYVi%GCo|l z#lVl>lQ55pweI#QtN{w4pd8n2*Xc|07zB(rn`%6AcOU&=GoVrK_<$ea8^y)Bjrl%O8f(3iN_NG8lT9#LHNtIC znhQky2jFjiCInnt-k90N$-htU<7IQ)YRB^RZ&Kl;Kl2SLaSGuTY9p#Gb(-dm*@I$mHuf`<3#l(@2vv&26=NSI(~C=3l{2L z-@af}7|B?QXb{o){0_{gcs6)gcSFbIVK9aV7#n$FYeVL;de6^8y$cC1>n1D;b2RxH z<8Mbxc^hFSOf##mh=+Cy1_kZ*L!%3_zQK~n_8N+!FbBa@lKA6%=eu?NPwwznC&USS z`$^oJBW|v+a6x7?uJBiDQ|M$(McI_CO|c9F6Y%c?UG42U>?>_CZ~$^_z?@SYN&Wv&vIi3z~f1w?WWO~sAP1hV?il=%$f#VkMFQk6SN(}HcSE>dz zp}==S$Ive)&t|CFiE@@))D9L|4F3w#ict;Q@p`j>6FbP5Pvi;j2V?SA(ucLnWaTx_ zfM7zWmEVvv9K3_ zT>^MeK|9&Lr>rid?1f}QXQt&0O6?|<9aO;82%NjfCm{+&ZfZZ!9401!}GqFVMg0tyWO|pj9Ga=x72mdUgoljfTbsd6U&B zvTY|9#a}18kgmC^k~rO37+yh4z6`Kb1Ro@{>^erWM4C8e$U+$Q>%v8y^2K}j03g8R(2d&~Fon4G!GeN=$>q#@v`UyPg3RAgo`D)T zPk6b%;WtueAk4}fmfREvm;$$a@!oLg)*9t`Y*XC(a!r28SK&_&S2m*>CzD0HGqt5BTe}me zhYANTggO34M1qS#`F%4d?x|v3JVw!<60|gVZ|sHr+1cvLHdQB<|DM2%aoBenPs1B0 zJT*=Us#yCNVs2D)LW%r#3<639mBd%%ED3ym`PBf;w>-o|zXz)LGy{ma4qar)Y9@e= zjkN8Y<9WrZFoNzcYn#qf0Yvv85sU)q9RFrK*1EAG_aG zS}KO^ih4Fk(hQEh8x1olde>0^Q4bPMA$ni_5lU8!aQ%zKNxA0Z-|E=4ww}v!U^FHI z&=f#b*BiH+62*UYK_5K>a3OFHm=t1rMoA3;NlUHJhFpke>Af#0#(p;TI;N@prZ$ww zeNH3Ta~Fmf!i`?($LFB=!YX<0l*+-WL-7?x&@k)jAdZ}4`WV9>A8DA*C+Q2{DGa!O z;m<+=_j3A`okt8*)tc3=seSS=@yDkGSr4TO_XC>9m?#t|&%q*3bPYeka7N9zdOKBt ziu*nCS)>Pm+M|QA?S7>rf0Dw4!d#tVd8j1cZ0Ovi6JexxnvX5G640_b79IrjuEdMu zV^EEe0kuhkt8)lrHP<~x7VV`$VnK9l1t5)&gZ&HU7&X@ag>io+Fvz=7x?Ixg}Ezj}IVK;knl5wUf zl1EC5?)+VcnxXIWbaDShg0G$PxM_e%ulhIf54#dhWhU7&hl<_L%SngHqBDC&g%>n* z1sXDysiDXELGhld#&YYmKcahKz>M-?@%nnfZ)-BtO}#cufPxNOKLF=KwXt&a z9y4aTv(puBX#p*q!egFpKlLx32dS-BXJt(qr1K6Pi2k%j#e(~TES1Qw>mKPFb<*bj zV7^7xnf#6lk-%=@8+l8YQKv$gPJ&B-Xu7U@$Z11VWz%&^^?%h#bMg-bfz}eJs^T=e zg`rq?qkuT+RY-{Vcvn>(v6lAckJbIM8ZPeD=0d6r;q($Fi25BQL#tj$MUWT4VWB%6 zIH&>;x^<-N{OJlt8K!Z5Fcl^frswT6j_tU#AG~vA7UW@a%46(=BKg`KSNKp?r6`@{ z5uiQY&i+xrtL=})tUWwY8+~@2c3}kix=+f0#VdFZT95*BY>#d=(Uot?SU4^V@~An( z0x5G;#DhgAhlu-!!*FDKE;(;%7*Oh2VT$R{HFq zWpa8tu)t8_HHcFcN3ZW<*{d4EY`213P^0$QsC)XET{^>NufwmlN&K2 z(4G0iFN;LixUDm*?Rze1^R-MmdKU%uh~#5XozQDpX z3c!*)U)8rGjLu7xMr!V5x~_&v`|G`)t#WX1M@d;DR;li|FMrv1YVeYyTV0v87xvwp z&HuN_s;EfMxX}9n(m4{>Qm@Yguv0umoJXb%z8nCpA$zmb#Hg|JGURTQ$z;vVp1TH4 zu4d%E@OdaaD~kaj8{$!%(O|ehT2ReEIN`~v^L}WeH?!K83q#DRP(VrGv0jh2P=+J9Fn#y6micg-*y5@Qb>_z&<*jEXNa0?pSTSpPsGCuC=zs zROJj7hwxX+#Qui=rlJ&31^NY&NqGx3Yo``7C)jOkDWcXeQP$4w;kT#$_@ePx-9IAy zg=P^nm=coPYm)v9Mb9rLxmfz_0*Hv`i(Cuc0nY{b;RzYJ&^w1UQY;c`&xNr|O#pbl9Ury#h=cd* zWnDFLJoFd{Z}F(o4mXgo(ol3I!@}>XzyKkxL=YHj^1VwAh;l!8v#k2pi%e&c72*QZ z2RNunjFU`yKj~Ei_AA@Akwufwq7cG3<}Mzcz@`#Hfw_xkbFl?=svhKfLkK$U+t&Rd z34d^I=VVRvh>{NBRL$tEw{C1uUbqZ45E==6^Kw&4SVU`B9=*fS<+}^Ug6n>3E>4Ad z39Hz8Ngo9Y*F84MhH={__YE@;!U?CW08cUzx)mF+c%&x)Mqy*pcJ>ZxOn`w!YpJPv zx)9Tf%{2#H1W5bcn$HTF8aE%;m-tYba({g?HERUjN=IUKSrZ5~?UK(v7`T%amTrtp z07D2KtwBDutpMAXJ{FAp8D}MeGlFoM2Rdl?Xx~Us7d{+Ya(WTJ>9s;Rc3sb)Gx0DkK~Tms93XhS_U&1dk9f8_eL5XN!DHnAaWU5b;UHR&^Z(tpd<%0|HP+ zh8)f)C`Z1n$=jM2YCzX&r*T%UJL5)VA9cp7=JAukZ!#$lz*_ye#FL2>iDQVqo(n73#Fh=M(jKiMY9d zTS+mxD~lImwot+b9Pey zc-lXjQAQ9CFA0lw0wN7GesqzZ!ve1??V@^Z`RdIavPScQv9~3B4{YftE^9l|@*oAl+1q@;u-0?dx^- zGP$^<2N5hjZQo_|n5n4Q&rC&yfet@c*{z(SMP)2`L`q_W3DnL5b1CI=VCe;pDDY~R z2@rA-F26)+LhqvM+dDJTKCD;uz{T(lM#yL5^Y+;CvT%(ZHtR((eQJ;XG5ST7tLW#< zqr^h7DmSH(_{gBrr9__^HC7~vQD4%S4k};z*33ebLTvoMzC+&tb=eJz|Kw586xZgZ zw{~mimPINIH17+W8>{Qv%Qr4>74+UG@M}%4jU=zo+w^&++S*!rS=i9lOuah_Cw)UH zsh8am?yxlc_0&C~_9TL*vvSOqyI7~M_qkSf0kOs#Bkw1Vf$SA%MY*VkCtjQi!rH3ij#=c%IQ2+Xk*of$;nII`G#j{FHg_lnk#72Heu<)w?; zsJTr{52tVB^k{`I7F;D87S7t*?;clNmTyfNnrr))u)oB>kU@quA*=Wl0d@aA?C+m? z?)RHik)qW8$jN5EP8o8$1t7mYZTOJL_d7q0q_n{4p)|Dpr0Izb<+*YBG#lqv)%Zws zsNk1GCaV%M4>$lwc;Jw9D#Q_?v%WU;;FXv%5cM zL}~KOQTEsk*bhq`e=XmIvod;)8P|Q`pW5xfKrYm^&L|>B;b!Nowo^ z{m)t3n%tkd^&gegOf&ZXEggT09_QZqnfCz7hDR;3(s*TaGd=G1kQM`=)u@J$4NsG* z=Si2s{GpBML`+sLzz5DoA45nKE(cVO7!AhLq+Jf|0|JL<>jOUi=It=E17TkxMdQ&a z7?0PG`2-5{uKwXRxQOy}JK`x7bp_?y2cY=*-kcbzSTEIdq#zK#8q;Dsn&rs)0Y(p~ z#sZ6tcJ}#M^p4k}2i-l1CPVnA1k9M*eeF)Z(qn6p%Y zf3#eQny_|*|1Jz)Cc~qnqB6$4hgR-b`vmNM%SlkPH^l$?JwQGa^-6fdPMAfx!Gn3PUQo-+gTx5;-`<_Y!m?DM@!@!#jaU&|Xx1$>) zPW=%cHb$1GRmwyJvM)MfWn|=I2f5$e#Vz6&C#so!3|QxUHlY}x?MtkNK7z=(iY2vQ@T>iAYBW-dR!v<9iZ7%te&kS0IO1JHGhde{#~L4>K)ms#bv zS-6ESB!@!}>L*Oot8ou|i|O!>o<`MKc7-SAIZ9zGiR+mUPe_y}3dHmFL`#d551Va; zkzBQzx|0EyF(acOa1Mkdvpxrw`9deoTib%Ta?LDv{lv~2kUU|)hM|%fPmAl>B(+4- z7YO|sFKv#hSEEP_WO8DbFnUhF zjX8atHT=d{?M|E2^G@7kw-L?XAz?;Be=EtSCx&;gOwJE&qao zs7OR^3IpUn?7;glE~6j?GyTA^zqdYg%f1_4C3_i(E;|h&ac!NgpF7`Dky{#M1PX6$ z^u0``DJ5|ynZ)}Scb5ipRo#f)Re;MqcCZtPp{3m;{a6O<;>AU=py42?MafOE&9>D- zv7>58q!-ly#D)sQec&KGPCT1wuqUVln?*S&sHi^n!S2BcBQDV7YJYqOM<}^emnzk< zF|q99Qz{j4jz{Z^*O3PTrgrS6#Tk<9y>5y8rz$|mHvwsjxcE+(Fc15gTlT#`+XHTb zysL5XlurWMoB0y}3iO9APAZ^#0)xJ0Iq(up;4raBP1jgDMDz*~<)_*(v$d-B-SR#|fx5?>b_?+%cjpDLVTNTo_}B>Yv2r!!GIBqeZ^v^smA?szd#n zo=giv!3Jh*qCjwqLT%kh&WP?&0qVcE4wHrKk@%+cvb#M)6V7?4(5^Ij@|fyK@g~DQ za2JnNiDOL>U@Cqity+F^Oeai>KT&Lz{bv>0x5A_U2hEBYF*#QIN2FT!A=&Drv;W6G zn8p>t`x@ar^_L597sz|5zU@(%Tz7=-dqx?E*3rk;{zz)L-%;}{$c~Al?#G@hw9`WE zCFA;)_AAAthpwZBkmzB-d3mdDXy6`>lQg!rfAl1*8N~q7Nhr`6PvQnQ40if9bvCN0|nbV@*&n(#P~h>JdEzSwed=)Wyqo>@wc~ z&bcXF%JWHqJ4%tItmMduQT(Hc|1i6RdpNJgzL=SnB|D}AiRz|g2P;)l%;Wn6%Qs1!w4V1{CG8QWuy4!n?W(90Eb`$bjGc`~hHBLGD1I*kxFjhkL5C zY_Mr^R*IJO>u|*s9P=xHOtihi?mR81|45bXWivS z1tZL>jRei24yG1{o|1nigVnc2-G>x=MuPsFiC8j>~6%s-=9M z6LNQa9cDoUP<`MxXN8`w58Uw$&jg586)D$OxOu$Emvb^B(9F~*W9gt}TI$5TrND`> z3yc)wpuyF-+dpm98#$P*Bn7uKI zYKjBaZD1{;?0>Fh1=grzzH-ki!lJ(|wsbD45I-%5rpP{Oha($?tJxOxxr36-v3EzA_))l;XVAq`W(Y=R<(4chD%sz zV1ohe2EMmDq|}1bo~}7|rzkqHU=GJE6rO2$P>_N{Vqv2EUC230ugZec;ulM0&1+Dp z&9{q@{bHPNJb`(Y1w#YGqaouEIFA?^dLV8wQIec;ch{7=SfN#w(?-tQg$|pQ_aB!Q ztc?jQE(_fyaqR`*DqpcW#p%{{=$7r?Ezm3bLB;yTKbbho3V)zqs`e(2)_-hc z#jRIqA)SoH)>EF|jBcx6oMV6iXm28-ROfI5wgfD$(SE$x%suxaz>fSI5=H$=_gkbx zE#8QawsyA`lRgPsXQ>|objl_>_9+sf#C}d2Pfa^I1#7d&l(3v+uz||b?GZxirqG~l zptwj|L763q{K*AJwVbF;Sr=lpPToxz%Tda9Vl1G3+l%vzDfI;RdQdGvJPzv(V4{8C>MF8tM$&wPbvGmuEN z7xoVK(#L>;2qGn!wNqAXMr8;I& zPbg*Xk695E6Ygium&avx7nB|DXk!xzxoYgu)x zm%ISNy*IR7^5yp5gbZA~g>o!;M_k25o+nF>bWq)*646ZfeWgLJMSx$eoyNv;7H;4W z)a5-Q%*Y%*a^Dq311v{0M!s};QKy)4ImkkQ!Dv~uT3!z#B_c{FIV^Uqb3J~|F9Tox ztwn8Os}@>#>!HmE0IEIHn98EgRsp@8H-GD@)iQoDDR=i$vwNE!0SajTIW}pYsf01S0Mr-wfaC$rtqA_E#OLhouB}w&i+nA4DOs?lF?{Gryz3oxANuYe# zcq&l-hm`vKNJbPJ=xP7FAhnEiZ^}=3Uv0NXowjhDZir?MPaS(#o}8r_iVvtM$ps+_u{@e#mS5TB5G@@9_t{VA^0o3{?PSgo zK(k&e#5`hBZ>=$DA;IzJbZr*Rj%cuqW6AIikQHMCI?53`_LylQdEn6nnrb0%sw-B# z^?c2#`Tl(*ZG_HT)zLRA-H$G_>+o4KBKDVUDQZ~}tGm`wQe&LDW2Y+beupWG8W)p} zlm!iYi_`Qk38KLwKQ`KJ6OqdKg5Yz^H`fAbURwM! z^*|W&H)r%4fFIz-M(Yu9YQMl*{H#e4J`A*pzQgQGE1-6ROsTFOr*dua@8v9qmwo<^ z{du+KgVTw&(lC;6w9F}irn>>9*?mx#%`}Tlk_3GsbHk@4dyW&G1G7q*h1zFTy>-AX zQ<2CNA8`)s0VGlq>$SR^z!EVcrGSqGM2lIx$_pdUNu5W+0cN#et7R+9F*(0`04$|I z;@44Nc928!h{2A?7D`DMXe=B;Mvn&E#Zp7V&s$-ZVB@!HhK>at(0qjA)7T2V7;ZD2 z!Na~Hl}Z~-0%2FKzeF`eCB|oMq;}F{lsV}4UqNz8#(eN4eWSLq<4cIjKO)LAIzAWU zoZU0L*oyeavkwdhd0HUf=8p)8qpPQXPUx05AHv?A0B7Doh~AGpV-DwA~0a;%KxMr zY#;@d7rvJ*o@LWKV3_vDn0HX-Y#<7dZ4%BeA^E){0vtPv>j9hHnQP4rQ9~r~I4m^f zb>-1bKPLULuqKDcLZgT(4T2z@f^;g~$fh?S-Q5k+-QCg( zY(Tn01f)wgDxI5dY4o>v-*e9RzA^ZVAp?B&v(}pHp7(uCLCRu#=Cq28B!B$pC?h4$ zkMw8<;4h0c(wyDqLEJTOhC)%K*tHt$i0lY&Z>LTEexV4X=J(&$^NElNUk=J+kEz+C*b!V4fKKZqPMRcKUqe{O5Tc{`l zye9;*?lMmRd=7M=J@Hz86xGrvEHVRp=Vczjp2Kgs!Z5KE+k#jZQF5$*ToO-ZMDy^p zqW07K<~y8#sCm3rhE)z#<&By)izUEUdChUIIt2FN;zUI4mfs*+n@D5$ll$Px@ik9{ zG&SAhsfqwgpOyFt;obL6kA49B24X*`)EsZ~SKkv+AdH`t>-)6+R=_|9t0QB}-(M+R_B;4u6Xqe#jfAuH9 z#hk*QitGP@gAQQrxYu9OOV3dm6qkW{SYYor(j(!o6*rWnr>KtS{yUow%Dt|%1VC{5B>7;n_t&K7E`vZP4` zOTAP?p5oWWGUbzkfg|~XD);1!pMeFMRtWeX6iS$@-^x_O{P%J?q)IT5FWM}0dJp(F zdv%e04L}sC?FJaJ2I{OgG~JDF>g3+cktKaAsw7L{0)6L^ldJ{R5%}|W(MbT$R12ZV zA$q_XouvbJ=3+VajpQOKVsl!b?*>4gs5C0!tmDCH0Z6lKGWZ#fgZQ7%x&$9wwoB+? zGIU#%h*w2DKzc*cyc!ON6Po+RPiu%a!^2wL#Qm0i>el`RMzO0nuXTm{cVU1b728QT`vB7{h)Wct4|>FDt*pA zwqz>GOY@bY@1qWIi*@(f8*0`^5qa}V) z_WhH|rKFR67>{$02z}kYPUE3uO3v;u)m-k0cm3rz&Jn5=z9B1#Nk%nI7*GL&zmM8k z5CDb?XkI99(&-{2=!wNE7j~*1!dT+WN@%JH`hTQKER^Lp1NIVN9wH5cmK@M=LGdCi zI)d&S&+QzmnV;W$-t-iJS3vZ{v&K2FDXSI^5)d*E z@}HSA&NQDEVMkXMSaT!IGR}}hb1ZPiUUU9KcPOYg`VswuGVC&M8Te&Y8*Jl^Q`{5T ze`ynYsKe2z8TBX*z$O8f+pW}$tG99 z;c@W5D@sb%djYrG%U!!22jyOfh}g7-2YEo(>tcte5owpsX1pb$>#wD}K6zs}wI=#Wp;7I}$QSWq+`o{pRF@|ed_6ee zQ2?U}2nh=C`5`%6GcSS4-bdmS=Z9l%;YP4Ct zKDq*GBXyi`VK-1;jY1u-wtw+#5_DT>CZ|X3zfmLurk{JLG6{&|ii7Yg_X+98_Z!S` z>R4ZUJGzj-F8iZj%wR}5ag^o*n73DY|5bmxMPG0^fErk+MQNVy<4S|Ph?giElY$i4 ztYs{VGw}U@8qw1?2Y|JcGk04(L0spH2<88elJtm`O!pd|)>uM~-X#Q3Q7VyK(23;F zNCAX52yl2Nr?bUQp)<)Ay+3~Wg#<5e-Sb^7PxKE_54$ABWdN_+{<1JD1>@k3Y^c~Q zMJq#vaeY+h~)yB5r%Pm zr8-6KCP4#Dtb}_Qr|MQg3UxK%xC+SP9W6Izn=Dug$Gb^vPghEl_oDgul|xT`p`bNK z7by&)0WP71s^1vm<;gY{skjfIZI5Osms*Iq#>tWxJ=ene4KzSnX7tDRx?_KDp?`RR zos9S2iQv8c@n35Bcsgbl-O7Fi4zds|;?`!@d>I&#ZU9AIP1*SqV$*ZvGo5&{3p zaqdI3>7>E=zChr_8avt<*?q-#Jy~y9TlvXai9%k~Pjlre$-(a>?PFmg7OlhF+?1cS zpucJwu)Faw6LfF|#_n?yxZjv(*?wYyEUl?dV-CBucVs*ytlLEj*fgm2egmN-p%4OY zVrVyh<h?ZnwStR#2{}740JD28`1>z2eUOJ* zOVd$(Ysjm(de~Ia?_JJOVnXkLY6dcuT1w2Qa;$R3`5?cQFPsUsU;CK!C*l(-dbA4f z8mrzH@PH!MZ019%ODUqk7#KgJ{lM<<8P0QYhU{T*)d{TNOuK0^XrvHmOsLmn>ql$@ z{BTjJqGLbYanR}F29)c^-t1~~$se#i^UO2(ZWrTKE_;tmu=Cl9hk=KP~ZSi#E(^_ zmleKr_dfk1Rj3{{*S4+T($=o9X6yp>5C#?wAnSR#W~er0f%e>;t{>ogtOpLX+oB`A znIY*%j^woWms?MiO!5NvBy~#@4uUj5o0gw$1ZD+Oy8c$n;#Lh-XW{}EkEW)m#}E+B zYPXI=rlLkI`cYPeJuMacV71$10!vOJzYu=5`X1=5zA2}MGmKY3E(Yj@-6lQ+uRz3f zqNtJ(96Z`}BfJ0j=UM2Q|AL{Ba2vmlH8T{V&-evdnlH#hL4)Ze1HmSDc7j&j zu0H=$8Mvguqq&2H7;(578@*HG1CJ>p=+z|UxdRBr4LEP0;QAqMQ9lCwogS?W*wx62 zuOY_uecI6$)x@E&24O+HlXXUkN@kR`HxckO=MXRCq8ckI8B6A z^u8IhTT5v&HQum4)h8c@0lppMj`UMcb|HCEiB|lHN4(ltkzkisLEeEow%YOwv%$wU z-elp)DBs2-=R1iRhdpKM*-+Pl(GP=EDIOZ-J(B-RWR_e+pGknw8+kd38^E~MBu#f& zh}TZTju!tc@_5$x#tW1s_uP%e8lL9nw&jzS(IG%j`TCKHOSknAjHt(5%>C+eN}zFA zK9P{k4A$I{TiccU0ULdM%`@vohzq8esQWP$Ts!?HwuJb~a{uI8Z)&z*?MD#9J<}^r zI1D_z;=U)6I6G9gz)J!IqV?nln-1eA;ecbqNOq4fiWC+%SiKP~^8f0p8t8~~D{Zwo zoMo80lrK$bR%Dr~A9*lQpJg_gM99|3Kyo1gHDk0+Z@>W{$|Di4efHSXQLCQFeZVnD zky@I3M26-Q_SaQpke1cs%ar&ZxW9H_9sp7Kw7nRWg?1l4QVqV4;6gCK#6i_0Z! z07<#e+C&F6Ux0bBbS%2+6~`i4c*&h#FHkxeevtLEx)7hP%k?~W za*30;c=saYHS~h4zj>ECb2cS4+6RC}iZY9N!W!LBzqHPLls^Vr1l8X8vGB#I+Z!Qi*!EL`83E2d||+W*%HKel~E4Oqj6WZc;TQ=qE5Da?@ty*6Z1htWS~?{Ar3I#g>2Te|wg$#4p~U^-)FR+bIY4^*G`@P8J@ z@C5@LwtQ@H_3}<#->Ef>skVM2|I%GV+?I2~c&5D$h_A1R%WBiPWOE|~hRKGc4IIPL z8dfJ&<5GgSadM8BQ2WK}qY5)wt=*+LJ2^P9L4wy55Q}u}VNs6|bzQUAbfM8RFCPJ@ zRHX0f1j6({@<^2f$%+X^k171fs@oIqGb@2q(YBOmc-d;nkL3HBhVFYT6eEZzfNmLc zrM6zz%(DKCj=~HXxE6x+gf;>2UVt-N3TBxK{6`GJz~|=N`d#uN@Q`5yr`H|yzU3Om zj&1!J=tPf_kI^4HwHLcWE^^^M(U_)bbFi?ZmV&8*88qYeD1EMD#AZj68ni5B^;B0} zRg=S#UY;HKM%IKSw?w}I%$aq!;jO6yG#fT(@ENMoL0pH1c`mBID8pU(X6t`r)kPX- zZ{v85VsY_Pcv(-wwrinM>)h)N;;U76Tn-@W>ut3~Hn^&HSS4VqAchek5zwIab?rRP zrI8%?U)WCJC9wzgPXVCb(3W24~rT zOeRaGTp$4whUM~QePJa}-8^C6!5%$JxS)0*%Vq*BrXF}3N^u}zM1D@6MvJ= zwWEa^RywI38+|y)BBjGLB%PefcK4&DZThPKLacqiPyjHXPTNbY2~@YhkHY*V2?UHf zKBf!{r{mjHxsUP2M)zRc?Rwz67mEKyg0xg-g$=6(iprlI1kzGcI=hP)=@mt88oQb< zztgR$YC(*f5JglNTziVvR2bcgtZDf95pA7R>=E5ss-?&ds&H-4b|KA~NYG4GL@k_q zD3=Px25nQketGoH`VUj+^0~V=bz_M&cmJ0^?nB_Ksp1$aoM*;UhK0E1kPpQRI(}~K zg9qUalltkLHS^e;IuQ(w0kc9@jwhXGNT%03-?ds6roPYWr$n0$^JlfJ-*o*1J_2Bz z%VeFm59Cil$&;zzS!%Y4l*rfF*Mwsg1#t%lv&tl0fx}4!1?`z$WeC*y}%I*1F7T_k$ z;5;NYqSX?D{L(aeLf{q+i~`ITIo@Y#>1Z4TBd27Qb8o0o>ia*y3hc0zij3$=eWrN) zc;OHb|5z-f8D2rLw_^aIEK|*b7?!Y>uqx}BV(q7ol4>>4t>nIRw;YE`8a;tbFh);B zmCtbOcW*UkR!{$TWmFxxLGyc;H@mXm{mVWZz^WXOez<>bCbsR<19+GL7i~*Y@`C{< z`L_(WC0%Ff?{+QzhW}j&SPr0>L8jUwk0=9ae5P4BAQRJvy0ud%1^u;d%gdgG;PVf*vE3P6n+yYOy_qdWeR=-`o zB4^jn2G7Zd;T|VTk1Dk`KdGXES=qp7_k&W(7W)OrKbcKBgY;lV7<;ym17O8r7%ec) zii`<5iNxvIDss4UlIk26MmzmvOzJMOkB#Qi89f!wLyM1hPT>S=!`urQ4w379i48aY zxzL6jhrk}LG!GcSX!iQ#=~-h6SS}Th4A4)?R}8NE4^Ycm@M=UNKw!vM2c-DH+U-m+ z%)R74kOJHy)%DwvyU#Z3-Wdfc<`x8;y4;T;@#QllbG5{+K|OLh$A(=hI!t*vrXcv4 zD9vHa0yX2$N%gHs=2CPRi$5>c=KJe9YGJ^C+#}!@>Zo(q4}e#+1p}_CMzG~8ZiYxC z=mwcB=0m5gC@}QJn^hs*ib~4<;AW1g$X~L88+4cfWRtaGn?X57Bzp8S9Pkt)kN}4$ z?Q7t`B0sg9@XoIz;6zJD0g=o^mZ3_r9c3aO7@YX};U12RaDECfjDnDnZ^N3QLk?(Y zCwnQ?d*20H9b}cWGlPB{aNJ6YTCKiP6fc)QwS_o(Y}kusX@HZ&N$i95e217W9GEl^ zUvcT6ZT%&6X2W7P#~}{$&yrHH#ou$XXO*auQET(;xXl9AGdMHX6nZSsNKZ%h2>`kX zXoCFCN?Q38h>8fpS$=JDr3xMZZuKX_yRr{|GslQ&225{2v7^-%A%@UKtvHM>!vfPjKaEjoGM*v4_%;hTDMlPLm}GkI6Up0H zb-fd1fF{AtOjg4AC@pj@mrF4?^#|nxFv}E0y}`YWrT96HUuiTZb*@Q(n}iWteShEL zW!?u{?!u3N=kra=Nlx{-P71dB@5eTFpa6}MubT+#P+hN@8~RC$%4mZjEVu5%9owV5 z*6H7e6LSGjlL!C85O(gzIB+WSsd@d!H+vlP4h2!%Mm_*C)=z_keE*bkI8m6uHja*t z*v7XiWERMLmrQ=(>JVVxeQoJ2i;mi!5>Qql;!%miI#}8O0NpsJbzhQnVapU(+GYV z^!?+>YMHMqFDcKhXr~GX8EYWu*Oh?iJi72~@yWpWCad!-`u9`4;-R`^{F3-9 ztuB}7}o!}WHH@@vx33MoVB3 zHXMky1AVoHO3+X`83udv)%0CrI$Q9&2+jk6VVhaW-&am!hkq|abQYiE0bBmeYcUKt zaa=pr=y@K*!ZRtbh=KM02~2W*Uv zEI7ai5XeqVSXdB%U2A`6^v~qNLosjRfz_PjNcUL#p4OPtax-JrrY0ZXwS)Vj*wb0B zo#4i$lv4}VZ;W2-@&#+c4^yj6B_Ldu~E_tG3tv zwXB`C8ws#64P}8ki5vZs^{A_AL2O4trazFq!Bist3^3@43?*hN0rn<@fiC(B#@jW2 zMGhR`Tr)FbB5%Mi(yy1N5HNDcf>$8K&*7rbz& zkb9BeJB_)N4D3b0{L4R!m%)6K#wdRZRhHncC@AS~8utO^d6;f2=h!C^9rcvhr;{=r z5k_QOipa`Dzyk-&zeRZ}WT=cASw?a9psGs?09iNHOp@%`p&|}6VgrireYckCPd`pK zbC6^q4;W-((J~|_Cd>x9DV44W%lY``y5uCStoEtLT1uP)!5R5?mLt8rF*=)BTE8$4 z4(Kc9-TL6qX=8JIZVaJE>x?Eo8Ng~aG~gj~wrZHG6EO1|HJu>XLMIF@8aTV1?4D$F~Rrw1>)d&^p|%Lv5I<#87&mo9OwG# zaiLCPv`4g^u1W<>Xc(OiUYEiy>;X1b4Mq+urB#G=l|3YSfr^5&-ZPfnhLvrJ^ruNM zBP94LR(|g1=vXf4T0VDdb7T-k0l})VEh%cOeVU45y^U{8WaGpkZ@QZiG*OQ_qGMfz zsy26p! z2ceG39$bINjSE=A?P%8(-&Ja8rmJ7J0FuZds zP%ZDj3%uO28z!9ir0YT=;nRSbVlnyJ~FcMa@B66EH?nB%7;#ngcuR#0ql{L3K!R_m87 z-ni(#avUd|j~+!1^HW{C0E}&wR@o@P6pHp6D&O$IwUDKjU436y8t0>nF;^6#a}LIq zsu=V9#ILhG(@}CY=(-sDQ?F6Q%$IRf#bRU`V;jmYa`Rtmw zB+Hm;Fp<&-Qe~e}4i>EFrWc zF|_AoJ7V)in6lF^wDx-*-ePbi!?ivkIu0v z6Ql|bNPOYqi)+#9Uw@qimNr?YR(Vi=O`Rk+UaenmF^8J&=?1&xZO{(z4{V3ZJkLlY zZNe!H$#^R;Ky05Bd!Fu)Bwa@5VWA@$zR7=Ga4b`h(C-IcY*^lQHOuOUUqEC33?OMO7>`vVMHh z9d<1gSZbUXv-uPr8G5P|2Em8XLQ610R+E#Fv7Slx9q#ieOl$2iA*Gy>z=QS4FJ9 zb}4NA{iABpI~09UiJ6X~aob&d#-IPV}v=@?FpSAy;Q$(R?P12PDGEF!mLnQ z-Cktj_c6~nB2-AyTkh0;FO^b4@t8x9kMx`Z>Z(IayDP-Hf3o8O*7(QEfloc=;lh@r(4Z%Z16 zg1GeKCk)i%%#=AzB*e`w+&xU=z0qO58J3J#qwVsK@BW^SWpT9EzDEDi;LcdBC|!#c zIKyqhJD4EuSZmMZGCD~^+M1pONkC-%UaZYY<<^&f=R^FXF`eXTyc>1qaZBMo+ptw2 zUf}3h0@GmeNG1U(qAjnr&Z^-JUS;W3O_cZxvvf_NkO&vbK=Cbpg4@z@mR;e9Z{E`; z6|ZRte$QQl`H<_$B0Qm1o5@kZUSr-C6Hw+wS0?IecO~)_?ES7&=8ke3Eg%_RO!1_ATC#dHae|wa`*KE>O!s` z+*aZTvDvTAVH<{;H5ulhF3oBi@Ik4`F-NAC#`81OB_~P_f&Ai*3)Yd=Szq^R-ig;f z^hUP|RnEf@TpMhlA4Wl&&at!m!M6>43vq1RuMt(cG|l`9VDs#ak6`R&s8jjrFXXar zkp&1o1})o8t8HZQ*)ufWNtTJv>Dy)EhP7QJ(#%Rev5J*pkxCW&a`PjwBjDxmCyXe$!<-yny&)+jzSGxgs)u)I* z^Z7UL_Rn3422`mn=JFQ3i)BNzZr}+vZhd^S@~aZ7A`;^46xBkFc2NIJo5B5}D8FRw z-Gm_&;_0B7!tS5l!F6Gak8slIk|73!C7Pk7+Z4oYl!r*{A?mfH%l+kF_{Te4^lSwS z@djOU%`(^>JGUcM9TAq|I+o@dW6qly*Wa?6xQ4_Hjw?BMVBFb)q|RukDbfaqKFYIf z9oQ7C_&5mPxsx%8=+ne(w5Q^Vk=uQ&2uq#GEbd81AI1UUIqu8XS+d^4E;?qvYAoKN(_%JEr~Q z&C{*S-a~>qFCM)@I&x82Ru-Z|Zm4 zTJ$5ajG+phhv;}rRvk8b36QiwPn;lM!%)6llaAdCm85N~qx0S@JQ|0^cN4B@$!;=i ztkAL`9g}AjI%B=jc|}rzxRfx|x=PuIw7Rej+81h(#S5-!wrTW|zKWY3nF@`us5FPU zGwV>NHN&9zM7xFQ%=f2xMP5>Kx>1TwYtKm+FUEDbuoneNlY{13zBG4Vm98x-zp0|j z{*}b^rj(9>7`xxAGJfw@+)U+%?Y$cL7pXUSdfeN0%n;H8-$ERW?%MCt%<3pQ@jH%d zR!^6RJNLz^DpHCjw?5SWrf)V)SokmkrCi*|*7yfshY2TJhE|pX)uGeki;zNA+8&wK z#VOagg^7CS+WngTqF138Po@RE*J^n2-{To+Z@r0#k5UfLj$@sUjL&C+3b*waY8bau zu}&dOEbuWuG863j4RmgM?JkDl(P(5I{AE?cNT)^FKk}OU9k;EZ_YoXO|DHo$Gix2P zXwgU|w2)%NNwC!MXBII7)7Z6Bk57i83;XwHmG$>j-Z>SIHe#jm)D@hgQ?b9Nx3_>P z`PAU1fa;q1f&X<`!1dFn$^f`)B&HW)C9lqI*n8<|js@qSKn}5%?`f4sWQB;Ziy&3= zk46+j9+oifPwSSSbjD~9Z3mc6Q~6h4gE$DP7iDoB)1^M8M=s+b&j}v&!*rNKZ67b9 z)k2cZNZb0ka!vJg)3i!+-X>nrrWWNLdfOu~5fbtxQQwTS0+uCeHIv4QF~WMK0yVi( z{l<`@t;V)XS30J{@Se}&!;)1O&Ie-^BK;n2rI@=1_L>DgcPhw+f6mz?$W-LVOqb`2 zRl0GlXZ$oI(==5-Re2FsJHbd;H6p}QGcvcRMi6CHkg3G=Yw>uwvVfU@A>01t^x8`S zq^_IrG)1}1=~d=Yn47!>pWO#+jE<9Ul`4_8heiT0ue;LA2}u>>Ufog+=1;a{!%}un zoh23IbED`VQs$MJy5=>~Rjs8FjZG*Y~j4+T>Q)JwpT zf%F76Gc$xZrev2@Dh=`nLi?2DAv=E|!Kb$#b9Fgd zXY@5y*qr@FT*?U>LCJ36(NAO}$c&*(@9|7C3lm6Wu{sE zmbDNG)jS(pvy(l{KSrnay4#Go7$bwj3g6v|iw$hEGr|_Sx|Hwgef>|8;1#%J0|?doMf6*E z=NR!5cdD-PKb2mK?c45wHRGxOlzPb@Z&I3kCeOYIJNcFkuZTuxrH~qU+eN~Y;4;jq z8B-m{^I{6Vr~8Yw8Ro*m4$WTtJy)+Ckf$LG63klPb0t{(QnT!18MLAp4Mk^cFPI8) zY}`WMwIAkCgy*<5v?dF22CrKr=VJ3bh2LV@xiG;@nS)1oDs+q!XLDa3R|<UxKUys0QBYrtGpcYHA-=d^_$;n`F~Ph**3{Xj?{)i6e|>DSDtV2fcQh|n7ebP$ z@(PDoV7Ftd2u`5=XKogFT!cwPEvt^IQ@`0s;hC$h3(hY&@-9n`oHgVVSr*%Qz#~(N zcmhL#$_K?TmekPW;d$oAtSmkfNB_ZCHDuw!wynqv-52!OP#7S=cvw$hD*qw%wOn8E zh>kK>j6wwp*cO!GYz6@q$?`EmsN#4MS?f{n<3E@|N!P+{tOX{u)s}sk7x(R!3lBc` zuXHfLFd}WwMeGh8scRg(Q{-6~&SRh9YbWU`RJyo62~i}riLqLG@m^W)uPoP`#dOk7 zZVOFQ)>2Y8lj)sE=C$kc*451$Jnd2EbER=k<1HOLaO-%D-B+yKw>WWSiIXGCrzhM6@PI6#y^J}(qsqN^Cocy2- zpGD3-8-s-pN@8+!9Go8|Xhs-uU2fXJSKseqr}Nena~Fw_>Gwigcc+_c|K!CW#eS}d zC=)-F2z|1&_@)ZsUiD=4Nr2u1jl_b~VrFi!%WF&%ktI*Q)R=cCQ@JWFW=sVm+%%ZQ z@_pQh?6{4}<(XYIW%x7Vwm-<&7uQT`i@0VP(CC#VM}Cf5heHO$9MWvJEZ$D#c_=urVzYWgFhQ(m?FuVFS7-W>|!u( zS2~_WTlM!;7VnFARW*CPRVBK9kv{p3XutHk|7*RH%x9r#7{d?wiJQH+jp`1!?bi1S zH`WWy=190$KItkPVYC?8ExRrhXfS_dbC%L5m2{dG@J@E5%T?O`Ev!~)j@s{4oKji3 zef_Hm;{rl-J#-fHq`hfgFw3yAtPW>QxIoDYp~o`B_0~KK4@o0Y5NphrmV=-|M>)?b z2sdO!uZ^U|g}-2g@CNR*_WHDC4ojK$*?y4*0%j24UE&kn>eBfAWz&45A!=2Y@HhZza z{q7~{ny2Stt=)A+t+8=&Q(&NYfLSH7Bu#~ta;6QhPjr%#_Gp4A0*?|ykLZH}T{VBH zJdUv68$lvACM+ojq<%CU3)E9N_Zf?cOxOJL{*!=Czc-0YI0%8VIm+D^$$HOA3hlAW zvT;!AVQ3HA`X^k^OV)b*bNY|H?%#iDzpmexr+eX{F6{XQqW3GrV!HTyjoWzR!awVW z>^H_4B#r`sKu}Op`geJ(-Bej+eugSJb!^xiR)QB4s1WtvDaN81f>5aX^*%KFO-d^*N`x>>7$Evh2Vov*TJ_wEA~ScHmAgIT*vM<(RHkZCHF`+C3n3 zFzmL6Oa%?gr%l8oWdi*&iijgox(U`H8iq+gNs9tf_ZM2MgPjhzO)hpMxw|K=OQf#dVoX+I2gHjU6?E-t#m zh-Z)=nrd0Hm~J0%`=h#Ae$l_#qC??EZ_`SAZ9iNH1=M~5QhA+X(@|XMId($c$&yR2;ujxmNhg<@Hme z-TT!{ljJfr=@^;NMV%Y>-=O0Vp^lZM{Jv^j^PT;iL!{pFRfaRgQhL$9W=)}*J@WIq z>-6W0jjwnZU%3Sm<=kN#*X4##D`Um23_0p;eUd14H7Jy6Fjk|llZPamvw|xI>%0D{ zuYrNOdda4*jU)8}nmh)08)h}>AQ%U^yl3z={pZQ6n7wOA6l^T?C7aLJ+wTlzst7eQ zNwy6F5J9CL>n(-f2&cJV6I-d>;R)K;NY0s%zZG7C4H}Uyi8lyrJH!(jE+%e}n|yel zyYfd)Y1+p;^$Ths0k~0KmPg-y%VyC$J@LEv4z8$08a-_TJjvou?6@+q*wE!y+8M?n z`0Y(``q_(z!>;L6%X^=;UK!gKe@7C}dK{U^Ol%U;-DY7b6lBEw}po7zaVpV%|@<;p7 z2i~yan3jx4nqftlE{N9*CNw=HhRC_b1o7FA;vFSc$Vt=v?-;57&nlq|2qXLL@25F{ z$VL-b68z(t(K8x+8*k|FkF2&aMes4-sV!ZVBWLB$(Tars{Y*HjzsFPotGhRMdH;+- z88-OC)lUM(f)51T4qT!AU8Xv^-mMPEKR>^z)=72Rwfu4{H5?n9#HJB;?{_Tgb}G;GdaRJ+?_jXcmg-JuB@W_9=*O^4v9&wi%R;$kAqsQmkXpsXc%9 z=WuDsKAh{X&Dp3l@9R#VCD|3219x+d&Q?VXP0G*PR7O-3^71&FeS`;VQz_ND3RQG& zh;Q}9JaKYWI%5hkzuSGL@Wf@eNOv6{QtEL(AP{t_c}3?$O6<-2Nx8x7CI*!Z065JWD+%ceNjW1_tcVesrT5)kjH7wVT827?0D>Lu zJHl=#0^^}MD0x?CIh)b^zH|K=h<0xRSLHJG>&l@7Aag}=scBR3&$;(H(ZBNN8OET7 zG^H&TuP6Mrl5?;S*2v_{UmwJPz1ZzoN!`5{mCg#45GAsezo+d~Qf)*%Eac{V*c(N> z*ah^`a_pvtf~*;hb5qC;k@LIiK%HQr+Z$Xbk}U4xr{Uz%e9-CSA#o^-hD=%Zjo^86 zV1VF;7u0t51*(D-(#l2q{% z+nR6G7#y!6<3FHm=_PJ+57Lx;7$KbdRl6uabN}jo=5=gl{MnSIZ+AqE7s=fr^I)3U zMAIq@ZjvigkyGd9(HGTKTqy&=zk_h;|FIHh2V7xW5A$XYwE*$@Cy^gmdEltUSkLig z4CKFIMIJ{fqM1J(9Sz1rJim+>LTPdsyPO<6kPTkVTDzH>KD8=-= zpCH>oaKQQ9QE)YtCLrCPHUX6Y$f85q})24;1wCHm$wMA9?|E|!g zZ0$U}y7>EN>2&GOT)-MYk_8OL|JjQ77xVagQ;zo(+2`s>NfEUmPWpz%m3aXjF071| zpbmf>s@W9Ib9nCii$F_{bvO9354b)KSt%1VKMM zdaP7R*Y@j!gF+>?-ky&=mC|6nsal!%_xS7wmmmBN6uCSR$z>3HPJAi(m3PYCwAhc1 z8_VpcQDifBziJXEWuu`s#nV$%>(UO|*0T$L{fC?XykqWo6-S-VHWU`wapY)( zkoP)er@3ZPHqlAorO_ExD4%z#wO3_V5&~Bl;_i4 zn-K*m8km8f^SBhyiC|Mcxn@aKpOLvRs;Cq_>!xnUW|f-*esQt!jG?*58tF3F`!1oe zTL(YKm-zbQb*dauvidT)_k@Fevu{cwQ1kq`dHdc2|)vO|;K9m%H;~8Vn8=urOZZG3Y5|Viu zl8_QgfB8*fp~mL17cYg(Cjn@hCCt*Nw|=Pk$HksdxF!wh9!<&5eCZfwro^NQ3}yy3 zu8tHk7>_85I3C^$h-?)MGY4bON5O<5slMG8LVu>F%7_U&){#WNT(wc~KO22f1uMtB z9m&xk)kt*eJRD3houyS*d>q)1VjLmM*5aZL+&rjI1!LbUg`c8||5cznm%MK;-nV+_ z?FkC5EnV3D(V5~G4QLm<`Lo>TQTK0U=3T7xciaA=a68lq<rRG{Ztspws=sRiBk5hYX0>~D7avf^$9QtINb4Y{ zN9`-whjx}e-nBN1RajA+Gf^RlgLiij;1(wcjck<9Iuo-r7Or9l+tMM_# z>RONbCaIE#OD4#@(b+hIe_p)M-p$nTl0V{&%slXujEc{D;Q8x&=WS~e672iUm{i0| zHZJ4$@M2ouiERrv`01}$(zepFU1W{KW`s<1kj*gjil5+sxdXn+?I+rswPDNryxX^s z+Kl4$v+O2f&?Q~UAf_<*uJ=8yN+r^njc!&;jVL+B#{&CH2}Y1r0UlQ`|F}ODP}ph} zkFQ~*9gz~8<%Csg^Rxsi23zSd@BCSF=nbsg_+I5f#h?s4K+SOxxM=_wYe3>Uotc`O|CO zFzn`4d8|W$Ov+F7gk}}l^C^3q?xY~yVkllpi}Y{^AM+_Ur{vvegC5T1Y2 zl5f(r^zVE_kXWViy4i2KI!W&uF}Pw0*tq$8v*h82UsZq?1ok4(5tGLw{$zOa$IGYB zo#R!X`4VXTiH^2-@n3a+myJnWi%whg#370w)5@a@-ZPfX?&8e&olcPAhwwzKh!V#3 zUxqNzRH-T^7bOddu}9}HnJmz}O_3gNSoNKobd4)@Q)C%vF+ih-q^K%X1aL^6e=XQ-FuDC+o6j8 z5VUD*W-aE0E8ogbx#sDVcsVYl9O{iG~qk_+a!6p3h@`H{D%)O;T>#fr%A0m>(I}3 z-f$lY3yNuG#G+R);C-{ZC}j?&aN$0odO?GkBL55pL+VskpE%4P4TC1hA_@<+35Nk= z*$e*la(3f*P26Y)d{|f4w|x3$=2Gt)=0~CM9~dA9y;ZL2ARJlgKOZOV*#3 z9x>?PUpHS>q1<k?_!lh~OO`GTI`p+lD+!MVf+>!E+p~b3sW~s0GjX0*{(TRcjj4&&K3+JK znaV`h^$A;^wz$8i5M_DA>ohT$YJiw+Rx5GMO(Bs9RB@SF7zWezan%bQ-9O)ZJls_~ zUOx_%VeYB?R+V&amZ*6CV5B04OAR<-XpQ{cV++b39W)+UGHq9`tn`M}zMa=jQ)E%n zFwLpbJ;Q#C>>h0f^!mduLgjianpYUzk3Ep-As<58QzLP^yu_%w}P(N=I!yg z0T6v_e_m)KG6}2|f4@ zBhwdgc+|5|SG3@ruC-w`xY}fDs#a?0tjy4e{OK?7&;*89NKUgVXz}CU=+TjIKyFF< zpl02*k1x@_O#v=2^@pd}Pm*2pViOY6AvP- ziuNku@06_|wtuGdQGV3jL3;$VTyL`Ny%Qx{0VndWP0mnsE_&Ag5`NbZ~%c}5Ew#1P=uibq@^W9x=V%>q)WO}IvkWyx@!n!Xe5NQ-1~j^@0{}| zdU;(q@mCk{I`hc3bumne>p+oZPmFr4D%^rA3{dB1PK-Pdat@|DY)d> z{X2U-yzlo{1xq;0+WyBuiF+luNTHQw|97tsTD*{L-2>PhvssH-);6hF#N5Nj;MDC3v0OMLZsWPT;MMgF$mDHDU59h0B5d!~ zeiRUwyy3$2E=P=ax18+DfJ#Jd=3@u=?gR3kc07?pN+z065#K*k#W}y2HL(p2wm|PO zeFk>pepi__6*;{$VVGt5w@R6`2t~m6B9^zUr3++!!_0EcR}idi7Tc$qffP_4X2D> z*zv8*{z&F~?6a68jZnXVjW>SElFt3Q*`TYNE)ZiMb0sl0-9a`PBd6)54nFPo&Tg3N zir(+-$0W?j<3VzKI<6Cz?0Y_l<9z6q37$BQFef^J^Or}`nzkqdMkAP)TrUA0@9vwH z4ePVS7Wxjboy{GexOrZ_It~VhxOYpRR19s{^xd$>L!(h7Qsdbcu=P*2UAs-Ir!V(V z{1#0AxQ7y(Cm1Ptg|w#fKYIUoA~AXfggd(}DK)c01@xaC73AfwEvUX(QJn*e#9{lz zcuD)^q{5li{PCrv!yLiF`T4nbjk`Ly1iHP$;k?&j2cz%@bKd3mo1(oyVN3Q$UsCk5 z%`QrDsA3#{D%#23@Qoesf>`D9y9J-=0_EQv%XZ@;yy8Y0YerQizd9nu=ba#n7BAh# zpOjx`09m<)o4g#b&vS&($R~GG=&5;iN$)jv*u{hN<8W~#WwvCdoGxxU%S!#=`K!wp z*qmRpG!I*jc~{?@S%2=C14p@J;?TDDTjiaF87HZ`Ptc@b9?`O_Jj8cbs4TB{rF0_WCZ^bxZFw(q=dz3j=;|!J-y)|DOC<~ht zcjn!rjY(b!X!wA*B%S3g?4;y1UIHQIDS6>f)MU^2JKJ{IMx~83U1YXA8@8`0$1FI4 z8-|Odr(fG`b(gnKFb%>h?XQn{8tnV=+@IYpb!2jXSc;Lvak#o!Tm42c%PX|0yd=c<8kIFRFPsgg# z^UO>kABH7{3?Ix&H=%*nPQr340e(6rl}l+XTiDQ63ihMbl`Sn+KfRlcCe6f%SQd%{SRC331H*y)W#ccM}`FnB`)#4D-LjJ;; zCiY<*y{9dM9?M7ZKjg|%Cd{Pz2`u8i9Yj;!NkZ`Ctw-ibToru4H{g@Hi(eA%Yb!l_ z%WHYvo{juB-7@t{?5_U2Jak$$5vG1&tTA@RVve66dZ)YJC-tN9rbd6r@|HaVr9K{{ zLsn~=h)-}M3cJ{}%H)36I%+xO8Mu^uR(4tXnS1&xCg3*+)!i0)SV}e#3%_hSwuTTZ zvpY7uqIs#xb#%dP60k37&77tBpFl|=R%`k9x!u&ytSGwu(&_*HnX1gJJX87~!@piR z@C4mV@P)HRvVJ$!CSUFXV$F|suw7qZaA$MBUZ1tjN-xyE*{c7$VMpOkMoz>Jobo=t zPt|fp*Wac<-@36zh`Mkj_!2@FBu^&$2Em2#G~%ptA^z~=BZ>b@ML(Z-=;yv;)o@jw zB&HBL`G-#mT!B=$4%fm+ClbV|S7oz_j0f_K)4qGC(fPL8*GwCGi&+*z-g&xgUoSiR_Udn0rmFRzc`m8pZ| zLv*ZFAnTu*Z#4Y0H>)Gdj~~-8ygwT|jCR+0d1MdcecZ_LFd#InVE%P-zWXpNsxqL- zMUB_v*IMMhz1FmBDH)iPOigkHXlunoc?z9XP_~J*rS8f3T3aG{l!a3j=_@r{3vUbh z#T*BOlZb;Nr6}IrBuLN}Fu|of5*5w(JqLlt*@i=@l}vS~gJyWCi&bGs;V#F)5hf!W z_wwR1wA2!sB)~k2DZakNOZJY#xo(S6#92ILNQfXZMj#?`Rlpo!Va#npB>xaSCWu1F zwX9FL-+-ujWWb&5^`Dt^sg!@^LoIcxKB~VBM(E*uMpW{~9K_0CwZ+S~*V(|)SKqm6 zyS#iczrMw{h5NA$oiaw6AP&yCGED!>a1Y;oO_`(D(+6Jo-q#BCc%bmcRkpH6p%2)^ zX%X?ZDzjX6-*bmkv_zAunYY;ELS4WKU=_|c4hA@{Wd!23BLr`QnO}tCM@anCj~1jf z|3K{$KPgM*FB{Fz6Y!zPeP4~5jZ|8W(n!h;H#2yDUbSWj1qeaHDfqeGEoFqr9@!h+ z{(8)^Wt^(UPhh{b3-R^C!>FdB%`&jtyP4|QC!OOIlyStjQ1ETfCdirT&W-v_-o?LToUFw3+(5ol;= zSOB+fhkd$4s8*)6SaH7$w|}%G`kRa zUC1KlY}t3kXWV70qJ@us_D67pZwzgqXu=ch?u~G`Ft3;>=YUukQC)4GSTbco=NW$e zds?H)62Y@x=L#Ne1c>wjF`Z)M=_CF3)H@b@lP&OsW-9?bpPA72c(2R4p7bqtm=X2Y zuyyzMptaX*{KN!_(!)QBIbOCbetGH=q*j=0gZh@XO|mcfP-^}#-Cm~3xWYl8%xT34 zWRKYsp5QRZz};?Qkjv4(g=sA5ZtUj}QXUjd+I*Qrso31hrowksVl2;WhS&mP6Lsg| zSL#H)8ebUib2CM|ENyN#CYq((V;pKMA9IyfrfpeZl39%1g9LiCYfpAiGQWePaxvVA<+uR-2afQM2^( zv3s>`H=AG;$UY)9d&G<;aF01|c_WrLTDA}L?xR|zVm%Iir& z!{dTU*DDU~f9`>yz1{avao1++`JWQMo{@{6BWAxM{M@=3K*Ik#tNyNsqXB-A|K8XO zQM8z#=i%uJ$@VU1@v7Ol?pnNPLOM?74en{dx!)zW`F#Gl!s73o)!yP;)Dr=k_UmvM zvK`1MErTpCtgh)cNW>)nG-20Ir2SrIE;1lr6T7qV$MB1D&CPU&r*pDJG;homAMl_e zHHv8Z-pCI;0T(wjb6(r8t2}5`83jUWvYY>oj{2>s*yRNK?{! z8!>P;wzIv-`SDsV@CP(86i)63{%(tRL!FL)AiWb8=!3Vp%KV zt$EwGqnr+Ufj!$W;YRyz&H7occx40uYvaW0?`1twS{Osigmh!|Qq9ntyr%O<9@t6u zV6zniNo)`j?I|4;#!oG%4%jM*w@EU%s|K1QnzqbP4&8f6la{nbFN~op;6rSWD|{;J zcqseYZ6sICgN1Wp?LiL~CvdVTN#U{Fn|`;gZsl_S?f9o1j+iD&j$W^OKo%Iy4WsCC zI`tRHY^t?;>2kR56KZ!$X};j>1n9V3`kkFQNF6#jx6R>$BwNw4YsQgC#KsFc#RXu{ zGtM=O?=DpcE&1|s9kR3>!y|%dQ)yFeP}Qk)irrKGWSNxgy$x zt#Q9u;?De?dHJXPQWEGp3L!2xAOs2*%L*4ozeeiY|Jc7-ef;L#<=*oPvMVs&7QeRQ zA#=F8)@;fFR{QAq;9kb=Pots9rd6=$@7sr5$?>;|)47>yQ&cHbQ6@-)Z??P<_!R^| z|2U5H)V0HUj$U=OZ8SPbEfPI{>a_2;C;t;3xl1bRQo$pYPLEGEtG$|hYxN_GJifchGT>Y#NN8 z>>VPo$)&XZw!E_4!AhBC|1H)DiDdPn9mrQEEmXmDi-7nz#h{+$CVScxdA>bT;!8sv zNH1ZLm~WGcD4Wzdv+0hSM2}BAqUtz2Xh-RAypw>b^cPfODu^e)b{MEpF423)wA9f> z!J*W2T%;$V+%3Etx0M*V?XBu?Uq?AV$xQdDk6H;A%(qd7&3?S*8dk~7#=$Gnrr){K zEM82|W$aA;_I`0rKW&GaAf3^`&~`US%>kc#Ydbt*?iP5d zxkosGSyBz@!6|h#hL#g#>>^P>sjaXVptx%UzJG@m>>U$|nd;zDDq3KVJCo{XOFu~j z2TJkMTa8GXqukE3{?hNIwo1ft2<~7HhxpyLbS`pu2otI0?Pl;cT-Az*%y;wu%>NF} z0qL-uzeCVZ+)9Qtl))IFdE$K6jF<{C4uT}8RnW0C^ zxw9+qw&uTH+9}7WHNye-{I&|_uj;v?b-@9o%yTj{8vXmP;Q!YxV?&ifi7(ExF88&D zJ1+mCGJdZ~wtF7p#-ICTw4cAf+$*TM3pAg0^xez7yU)K2`Yn<@U-)Y%3@H2o)|{^A zA1x(KD^HI(M;)ec(T_L*&}K;sNjT0njUER}!_fiP*Q0BcYP@Vv?%NibJG@YimZ2|Q z181aAbNKK0<%pYk@!18nA0%0p<#6&nus6m~;#bUiTBcU7ZX2YRK1J8xhkgE!U#s=O zE^`d?F3$wl;67#=X=PwRjG#Uvu$yHm;j<7LHKe#8-_( zX3&8-SJt<9-9a4{HH=oIt}2Sw;+QqBz5PLLW?C%?=Kr0ks7Y>1IewI|WCEhn;kFx= zn9Ho}tJ5A@4=mX4Xerk z7xYZg;f}(==~Xn*y|c`@TWHDKokZcrE;Xf3;9}9^g531C^|PgnZ-x?cr$vJ?3C`Co zAU04sN{jj|qh&>NZ!Ky|>`GnKqK^Zyh$uhEFF6Yj6_NIoJN@(?Qq~xRI@Q&>(hDl= z4B`n|l^%oF_UTml@)WgY-r7|0=O*zYz51ItytF1&+kxD#-2oKkNYTw^$Zb}$71x9& zqHSi)-vN(rmacK?c^l_=BG%SB<(%0M(Qk7~^dh>C1EH7z4fW6KIv!@|%MhHbUs=TAg^V zmVjOrOBrpM)4@GWJI#p5Sbi=GbWDp=e`k)_I78bX$G$^-74oZUQXEW(`3I5Yw%Vh} zsN3; zYL8JmJ{j@L^aJ<9P0~D1cq>inxZHdFFB&;YZbTu;_oQ|H?0#wOiYI#h^r>G&)}P6& zRsQEEg9Uq2S;493y;^r6sW$64s4&VSwb#*S&ao1Al08mwPMW9crL3SrnUdtdlkn#(Zv zDjmR~cle}cCz?*DEZz@0@HK7LvM9o+_wtYD!=1nE)-Bs%a&k?jhdxzsG$Me&BbrAn zQZ>f}Q~|FA{XT|)gF7<1hSsmJywW&O+%?)ZK0}kzvEI#Wb<=ig6Z`qJtL_LqCvo>* zJ{vu}$w>{xg2J3FdGpwkG1Sx8d4E~Bac5gyEVu0T^wdJS>ISJ=@TysIHJerSRvcny zt&EYlbE7HGxE?fW>wYy>@_iMp?3$jdOt+kAlvmQ|{1cIEQ&i*}Rk=OLoS7^wNkLj= ztSgypZ=0ee7NoZR;erO)l`RAJHE+nm`i%xplIgUHGzC% zRlHzBH!zg}r77-y2mB~q07by!7xBTwW2)&|Y8jIiP1*HVx7hWIQZ#9z*A{y+AAcJ0+*(YA!?umn zD5*&DFb6;_oolEC<0)7lcYk>^jcJ0LJROXdQ7fcn7G~j0T2=XXV0q()aOYCZ1YzKY zm~jkoKuAx=L$*a>lV6K%V>L+xKHf6>wD0DvhDJW=HfwE|aEYiFNm|p{*E5$wjw`0R zX<9yh?c`uL|4-uSUlDfdXcBQW()3UA)~yJruSCC>{mx_d)7nqc&i{4?PX-^i1&*aE zoN!-q_#J+_(C11RpqYMiv7d$Qd`oox_vBL87gOkRZan{f^pS`3V(R&s?fLM?Ir*oS zy}^Q`rmSGINRR^U1GAGwK1wgOr_`UJkO}LiN(&ash9o*RZA?f6 z@7t@o4+PUk=f6&&jH4H{O3UoZCOe}QvWk6iA(G+m!mR^)~#zwvmf4le$qF2@2hKOj{xKN zzD;xx|Esq6_+oAG){kPDHhH@&=zGy7<{loeJh8d?gR8M#$z38G31`1TKq{%O7II}s z<-x4c(OL8xwW4FLoxvy)RJ>e6gR#kn!l$aU-dSsMMuWZIUWeXvK9k zK+rbZ!*Om8l(xiJ$~a3r(cpp7iffqQcB$SHwEv|0U=t0dFZPF<=qknvWuRKo8uIY$W7$zAupza)NKQzNnTI$d`t4 z&D@}3-|)85?*#&`Vd}Y~&{wz2`9E)6+K$j%sNLS(X1~IIv8Z_MRUjavC+o0Dwh2Mf zRIwxh^dwPc;9jPb9Z8{CZ&;Z4c3(n)=(@%gQFLm?`TXI?byB95!C&xkvF zte#ihgbWcNK9`GF3sNC=Hlw7cdmSr(6*0*&kA$>uE?<6p770tlh5Z{YjPkk=j~-#Y z`zP{M|Nr|ux+P;!Lg$CW{b`Mv-KO{3r8g9MpB0+)r}VVv`MFB2k9<^89q>!4R5b>C zigyD#_1>Q7E!PFqv;1smD}91?_6ZGAG_wzJg|}*|MdihN;3}1za$MpJlPYZyA{$JS zR!G>++5EHWIY!`&`r;mt2F3JuI&Mc|&8Fil;ti8T1SL!=((P_tj7-z}?EatwmTSN3 zQunw$Z1U02PhZP3Q0rKa>hl@_D1z4+dEZG?bdur^ZALCnyTtwmY<{LD=GMyZepVtD z;PT|#nK>p_%ZtWKcTX?XZN$dBd81d}?bho&ygKZ3#kaOZ?tz2m zOvqeXP%0e@=a$ZDu0~4m$KtVMN`eHF#NCM>_i-8bq_7|;_qZV`+W$E2q((7zhyRmt zTAaSSVVco3;h)HYl|#S+W8hq= zo=M-PJ0|OZEK)@JrOj=* zwl>o91ilM@qw-vx3IZ|<$W6leBS~F*m(BdyDmp*rm$H5Ko~Op=MrW1Y<-&iOgsk>?x?H zF%DTeOw`}*z2*~%?6M`GUh53@cZ#E=!BZi9zyV6e<;SHrr9aK4vn%uU4vY2l)M0^? z7WMQNgaAUGS8$dI>Q@==bv0uyXTqFfn?iZo3YUX{^L|^AmuI%zzbT#YwY*!m;$Voi zw>r1jMiPqhm2;GA1t;$%JG9lCOYjT#y3FL|jL9X0WwdTr3OU;AIPOmc85R}&jZ?2p zQ`D#189i$i0aXhqMPUN_W7emMrykDpA;|pad(AF_zx~>rJ~!Q)kuUZ*d+>Pyyr$QG zP9sAfm5|@o&1w6q4zDGxIX(l*_0(LY?QK}+AIyCqWCEoRkq0#bX;(*k6!|s~xU-Ch zZSp4TGktAIMD})SR*~a6);-@^6kqlTjQ`y1UIb0=T9(j*xJ3WsOm-QPT9EZ9o+9y5-h`2tDn=FPwZ>2bJWc{cZ}z%GmC=gN;WYN=W~KnW zTAZ*L0tO`xBDPeEP!&p8BAI8mP<#Hqf=41`D6m`$yE}z&0og8`L)L!Y<78$b7(mo` zTS?4uc8@xzE<+c&LEV{rsEae{4gY_g=i$kKd~sDV*Vl zk5OaqU}f<|M0rKI^n*j=^0jP?uFZLbYSX2jh+8#FCca}I;Yi@?yKa#@b`liLNJ*#Z zAT{|K#AbwE-|pLrUKOyKPepPB2UW(t-5qc4Rt!N#^YWtf3`J`L?~r=nau@gOuVd7s zsRQK_1T1+sHlZBd9kLY1KFhNbMlf_8csTz6iz}2gU8{7{*Y=xCWp~W@Z3LIt>`9R5 zfKE{1hKZ>WZ;+Zr>=+?O;Hq2!53T)H#TY0Z)r>8dcAcpis)fVvBo*}Q-nwkXTw|rV z)4VOvo6m6yMh5h^MA`9z8M$<0y7)J-n`q}_q?Tkw8z8FFPlyLEyA4g&tsb|zMJEUD zYxb$kihjYoR>>E>XTl0ob4})=veXYg%$%$-1wa!7d+CSjS8DpQWc1KH>J_1&X=W&7oM6JucIiWJg+v)@whcLg#L^E`;O94peI3KVNTHuqleB_wZDnc zPY6hKsju2HduF~!=N^x@DXNe+i&VAoti^+}e|wj^#cV{(9tgMfa*&=r0s)uScVHIy zea=5rLK3-e!WVQX!u9cf!c6)j>!+%;ah|BfbSxMXO8}7u&*6@aVkp(teMVt|{SA{3 z?pJv`PW`!;Og>C{N4~QudV&LNh|mo=>9|qsGlH7Yb@D2BWhx!P0>%8aBUoYC`pr*$ zzRJ7^G)f>f&bpS*Lt;#qf_HTaty6EKuWBp6#RClj4J!okvvvt?-Ed9&4fuzC=U2D& zrLqjJif1UT_x{dPzw z^Yk=?_loGV@}FTX?gr*|Y>)9c7uObPw>YW4!d}euRZo_%clBr;dEVdb89(0ii5dS^ zh}C(ixLkyzi~|6aW1|=a-Ma;ZLn>jBahkIj*%6SmW<7z+Z?1mhW>jrI-L7_!1Ye^} z)xQ<0_bPXnt$w;#G+b_ey4d_Ne|a%~dB*zt5ce>qeJz5Gmyn2PBr|oGR1?LIc8`AS zF#M@aKI105fDp%mlQLfM+5W-l#`;8v545JXccV3D#WL0o#$GT#!4m5jJC!}&4=f%Q zX4w>CxSQW}Dtei?*W%{b!>*P5VndM-F!FrT=vt&BC1qx7l4S0A9 z&-@SliPLdjUJ1hoq9ae>`-#rAnN?relt1U#c@4syg!#4kk}8rLEnBrn)_if&;el0y zpFDmWmfM&t9F@YKWKyC=$P7w&F`{(g&z8)Jq0f`bGFzJ;t};42doJfB)Kj;7d@=4_ zlabdiG5(n3%=xmVS9&O_i$wn_aUqjxGWVPhabW4!7SCn>G*#VV8vy(1*NDJIveAvl zz)I)EibPBI1)73325MIJ-3@p+fkDF~*w|Jq)oLw0?Ph1Iv5eQc+jYiF1v5=UHZ@cB z>%qpEu-0daNwz)&5Kx`7)YX)i%Jp8B{$!gN#1ujUP$zR9ZJvHZKt&((u8G%c#Jiet z*y29wT+z?FpWgOY%GbgaAZzpj8Q2lfOxt3)t|t+S?1?L_ZmI{FXqEhgNcAG=Mr$er zM|U{oZ-x!85u0^w(W;otrQEft2R)PJN*1Ya-|`l3+t@4es5^oXByh*e1relyF-0?& zKJhrQbiXoXKE3N~9BiE52#v33s>!(}A-1Mlvn5#s2@SbYG!Z0rwwUnf69KDx>eyDX zXt=EpIk2ef%fCzQ^&40_tFusKuR@E%Ak@&uY*{N5A0Gz zBKdpztV@0Q<5@}bnUTI>F|pUnN)e>4`3;4F8M9OYCgw#UW=k;%wHKRH9)=)stF@UB zJ(8t-ci&AMe6`GUeB0e$d@nrS=*ldjFrc|%K=bIHU`9+!Rcec?2g=Fk4I<0c=XI88 zvy%_Yp&Y;vskW|rF)Em6$#(tOgRE~51#2xYuB&*P5<{wH?~SzhVhlxjiNCox>xl7+ z>nCCAKpZS+eIPe?kYn0p4NZ!ufy4$@3b1l-#rpcJs zV5;-&ls&G~YkU;83W;h@S(%Y4jfL)PzZJA7pV*!%*=JB%IKJG8tP@K_J?i<8flq)+ zj%oM}i?t0HB5aI5fP4^V{^D|jD|NPf`M?gO#4)bP`5POWY&2Bnw?*<-8r|NcbZ9@> z+L7-`YduW=#FRR=w@{N^eKQPBn2Pw2)IHg)_I?Z!)Y0T0bCq+nICM@18mdNM9}4UY zkVOuYAQ98EO#M=Khg=9(4ruw=d}5`V#%`R1)qGkOm0vikWjQ@{o&fpcGLkcegdG&MC6%N-$2t>0-l?kYb8QydC3yFwoZHfNK ziGJ{iS2{AqlGC;n)OD%{dPP7nNzoqp~~}`2@4jE@be>?b~1yv?&tF zXcqmkYFgYUobrc*`CCC5F~e3Ib4 zPd)IYT=YwcWP#6q>vdmHL|pV)Fq<~FHxVw|O^c6U%`m}7F8=uU56ZcZAG&b!U^_~H8$)E%%_WsCK)aWdiAT~2gmJEh#ynJEprDZNK#rJjG!=09zToT{m(OTpSqpM{#xUi+8rS4peV`DD>W#J0D(|9fI zM0Wc4gkl_7sm4zy5|VK|Df*3foI#1MPUw$G(1D=&$zRtkt_5_9U`6%~Nn)X9!O?GR zP*TS^wWamf{eG9P0b8>KRL+u%zjnE4rarL-7!*wRh`(SQhtCbX^1I=BYCqYHR8JW~ z*?k`pvY>vw4_CD9{GAy#9%e7Z*&0KvsL=yz_PO6{Og<|zE;|Zouca2(Jjo(`{lmYO zWG{Ss|6+tWYfi(zPvM?9d|ZAGqVqGY<50iziv{{*PDc`4ko@{SbDP&q#By7+>B=jz~Am-8=aAl z-+|A0Dgge~e~yVy^VmVh%hl%>t6B$#I$ALGP7q>C4DS)QnwP19iww|J!^E~L2kTWtVNf)e|3?7h;Q8)OCH-0f!kKmTNSlfL^Y0j6hMMP=x>Ka1a6gt zH`V%_bw)o8`SGI`7@Q&mM`h-^Pl0g*0%&c&iew{bV;#g_Nv-84q|7DIzcjTkAn>tb z{^Ab{6Jh+J(~TSpSEUi^9wNF>B!8hMqAFwl3Fd@P1c+v%rgg;*kQKi?>2gUA6Yqu4@euT?l;Q!L*hb=JmfcQP%k?-%FA|Ha-u%>A|HikckWd6 zYllL7*&p-<&3rY|UI_<)z(~h^$IoW*0H<-U_CZO|$i!H1kARhqg;Hv2kU`}QUTP~A zwh^RECd8sG6>IkrpTKB2RKyv38aYihcYm^Sj>#-Y4nI3M{@PWQ{PoC!4QBa=ktE#= z)LXK>C3t;vp3ZseWvXG_{&n&oh4>(T(2@d67`1EnQi<3R%Y)hmd21SXZeaK)9#HL)6+AL8xoD+T0!3>+o_9vsl$%*8$!^<$X?p#TkO;>tlp#GvX z9#=cBGsIIgu$mDFb~M$%AhGc$Xs#A@pP#2bOJ{25j=aHDkJvrA;t*9h0e#yEw*{Zv z;!)TYE1E|SgZ%5SK2TH(`;IrBH_qoAu+M965qvaKrRQmN{p$C!X4w7%QF?!5nPoV7g4y(kS zT}ZKP9}wUF;>7aAXZ!x);oSe^b?*LwLUd;9Ka86Fm*oX#kzeHNsF{jFE z5EnfPrW|llPv*Umh^&@G8uF<`l3&Y#bA}pmzvai^#jbcRdD~`a^8j;;HeNkj$|%_* zYmoCD?E!j!ZX?rPmxK9X=x>I?@Sww#L}`mm@|kMQR5c*MbQwO1)TSfdx)V|zFZvj? zBTURukEPLlHJ{`;XuecGR)R02Wm!t8ubBp93T)b7Pf;a?~D-w zefz>wX*SQ*RkEQ>B?*Sqx(Dp|UbAGECYx*tsrQj4c^ti5_{V$W^j8TeGP$FEzIa4{ zm4g!G=W&e()=?BLD$sno&$#I1aT|j8R=`BQDSRF|my6>UeHWHV0rh=;s~f_lM|nlW ztd-kC8>Ki9N=a>ImiD|YGVz0uhUQfW5_*jU%%aV`yTD(6;?id zCR#=+n%5ufyZ)tM`DI_<5r&2Ykh@1mM1(kZA)|)tEN5*OqhH(?!v<~~t6JA}RfGo| zT=X%FzIm#Jxg{rDCc251^QPjru~2l719d}(nbEsHMSuR|5UXHTaf+Ha>SU*68ff=K zjc8>*o#c&TC%b<>nGgTO*@(|PhaUCiNGQ0@}BsSjB(Sz zF;k4lypHN@@TU~!m&n-VA#t;fg+T}f@)?Z^*n3TEQAxKTglIz1GAeeC{JKO}Us28^ zYM#7UM7%~}F>`SI0K*Gut=_7`fY~`S;|`;~fu_9b%%?;FZ&kvM1DZ5@%E2!cE3+pjdn@ElZX$Rk~T(q&{xdqCf{oRRlXyLU&m;^d zYZqBoos;|f-Fq~CTjW}41QJ$Zdqi@EAZZ0 z4f5c+-(^Rx^IkFLjFQk~d|4@2Bu*VdQ}Udws?a7!gUeejK_ZU(i}(GOWVg6dHT6vm zll+aW({K1qT-ncro{vz-79-ho)6&)_}M+{uAeU=#W&K^)CkiT^)yLKeEt2BDL6vulzbOn_^DA8PpT~vus z*0!YP4hhtyUx%{|3D{F?P35cS_RS^q6LFts=|9FTSKRurfsfLZ^V=uCamrfRcM%ZJ zUe;d$SvYfayMNr9M|;jaF%U5&S_Zh@`E6lV0v7)O@*esEOd_MhT&j!DH^gytgo&z^ z9MOItKn-a$p4$D_F}ihl{?e7;8G8={;IBp}xD7dHy6|xR;P_Z{odSJ4(=H6SYjFN_ zttU5MFgwi7Q~w29&ojb1DhdjKe$(LmexRK+aC&8`@-~}_j4WMjwI`@n-Ln(5F zuX3UI zE6^C%Fnp8M)M?d_^Y(Vv4272ZMJ9L2-wRGxVS>^r^p6XZiUDTi(X|@Q0jzovO<4X-2<6RWJsQ*yq}-*F zy#ITMdRUd_ictY8^R@k_8tcB$@51R;RFDxuys%qbdauX0zDL5DR*gn)Y#bsqHqq4% z*TI_$B{NDJ-LF=EG;QRgMp)SSmYUb|Zlm~4!eYiow|zZ?ooYp<6>EPv(Rv1X`o!st5xe`|6HHzT+5enH>NGJ)o+$NgBoA4R)I+Zq!q6VQE>uWYIRFqAjI$6UY4R`B?dZ6YPIQQ0Q!dR+O&Y7vKFGu+tN@X9>N{fz0q`*Vg4SRyPaAu{u2zJTGGf$HAP)q0WjR27f^7}66 z`rASTHPp<*8tG)jB(ez;zsj8cqMi=tsG)qbh0nWw=4{HW^GOY2Rd%x%6F7 z<4S$;1K)_sTur4&WYJw7&Qc+tqof!bS{v8q-Vghl7Q~54miEk_kQg{P`tABg$Z*Gu zhl0>J()zHFRgwIWbN=WVWe6QvATssUOHiZVvoj4TNf|cat&|^4tr3NWi+jeN5)oWY zNn*sP2UEra5jdF|hcC~wrXS4;^Jmps3egDuvs3WB$n?01=z~j<;@I_{dodcR1>Rzi zc;!R}CY!SxTX*u}?QE57eW23U?{Zieae`lKO=nm1n?lQ)x#gLAg6rd@Z9ZCRGG za$fC8%;mhip(yqx9roGkxx5H$0&OGduJik+& zf3}t7YMFZ<<+U|&PjIp=F+nM$3e)na+A+^TsCjAMiGO7rT58N~q;zmS$_l3&D5o0; zsCu2Mfk6WK%B2yp{J^r|2BPbXf4O6remMa`%?mX;Z$uVJmU0y?sP=?{7tv`-9(T93 zZpo#d9*9qZMu4QqWpVFk+6#l#;SzGzJ7W)~WfHZ28Y$T#9<1bkf3ggQnv6qQ6hYkR zZZ$N|wnGI&%I(es_VFMum^uO@uKeKGbPo20poRFh`FvGlD^bb=350!*(_gc|py{q+aTM${M;)ugNQ&ORY2}5yegovf(YS%^x}3x0==y zl`Rq1wB40qM?$l|XM7yi-LTE%Ej<*-_xybJ1UxD+NAe>5-hKHZL9xvCOq_EC%kh6D zp;^(qye)KP>gvG34Mm3ZZQ_hDR@>Yrh!e{@B_~f%82Y>kdM=4D{UpXO$5TtAL)AN4#x^b@W z35H58;m@)8cdLU`V1(tFKLh|P9^49Y5**vGXMIgir>Ws!p(UjA=MS0P)w}c6F@ILb zNOZu3C!zji5J-w$H*pMu0fX_g`uDiwoicn{zu)d^Bo}>}MG#fdhPHRp@_9?|;*M|EA9iGWomypfhCWaV8$wbmp)-vRIMcycJi5-(Ndv z%s6!84N=^0XBoVP<+mEs;5MJGci~(vx4F z?dcR~f0j|hvYIJ@ZZXNf39m++A6oW|@GW!J~NWSB&HMYVnA`ZO210Ysc_`XdNlZ6Zf{42$(QJqBYhvM z9=FJRCY7!*;2iH#_iJ5&Am%`4)9VtT@&4~oat!{^!jz~0&5taRek0gT(vMq~2-n`!)K2-+_KS}yD1th)MxaoN-{E|+QUpS_&pEs~iJ zWjKV3#K$~ei|m#?mrkv+wG%BIN-V8wC6Z=1kvH>2K4$uVsQT)-CZqRlMWwqLCFw{7 z2GUAwz{t@Xh|($25`rS#3`Yvc7^56rf*{g}(lBX7Km?@IK;LJ6fA#($fBD(-Jm=hT z-Pe8H=aevC=AV72z*Zv~th_|wV4!#Mp837LqY6-qNDyc)g+iY>=PfA$Iw;4F)_)%V z{dI9YtfyMx>WtB!21wT|jjh1DEk3@{V{B|7PrBX3Q5s* z>_cy;55>(12+$}w-57NydT#AEU)6)aJmFh=`nKA0Dz(%Zy4a?E72}$_b^gV%O{p$w zE(2N0D6xZy`Y@YkySG$(u#UVgb4m^8>0(R65{=^!PZ?3u4?*IM`z3WJX3RhdoNhE~*xz z1rHrUkaQlYD_SS=QBcCPbiDeg$4xCYj-`SbMav4G^bHFWH4eSK+8#~fkC~X_Faws@h&RU(oJFa% zPec{+P{m-lev9J%l@xNiYwHxbjx4ex5?cvEZ#6sbG7Vtg5fF*qoxSw^_c-EBMyD5U ziaTZ4a6et}AHK2v)8c3A+cp}1!Bow!ZTtaUO;K|@-i!gm%&3Rx(2 z7Op<8Q96*f_|TC3cCF?ZRTt8DP}?}8OECSE!@RGL>1prKFimrfK$Pi^Ef}koQ?W)- z2lcS$`tWq00=%FGb^RsXf9C=|;iJJ3&{_5EOT`?cFIXYmX2}5+YRX!4Wlho`Q`@37%n8Z?EoSwha$K|RL ztVfHwM50RDquLfCyt}S`xU|Jaoo4ExSf;itp3*81+gcniq;^(-U==CiL6iVC39d4a z{(06UT)fyIT-Wagt*Px{7U_?Ea^GEmt9_^M%1Be|hj2CP-aYy$(B}KrLh*SwpoQVD z4uPHwyk{By^wrjJr=bI|FO1|vz=<8$LUuRS*bpt0e?NL?omesfo8CJodhwL5q@Hh` z7flpS5H*BkMnxd(AAu{-rxGXp9&$tix;HjzAT+s!nXkz;dLw91+=@ChBt(;ZuRD#R zy8P`g`;L`jKY?!E(P=V@XH?C&6yI2?KJ}LKTGeA-MJ?tn93^Gk*Z`tc81jF2osZuEFQ?@rmWrXFG}lE(Xj3_T{sez`r#;doBgaSlMX9T z!EZP=NAQ3#D9(u8G*=IaB#m zjRrI44J-Tfsy6%f+ze+Kq(@HPw%oMzpuWD+V08_Fml*XTtm3O3uAcgEe>FpH9qz6x z$jeTTu{j8NJ!?I>FWs!~^j=rf&YIrvI*YAZErFF zF8w@&v-gs6ZC$bO=Qoi~?!ClujF4G)1dqvj)JY@1%MPF#MiIO48^xEF%WqP!w z8;|n_SmGwQ&-d$q87)~7pNH>Ewxx+aU4b3cnF67IMep*Dt8ejvgL5a+7>#}SGNI2s zE6l-!N3xBlls5ldmfh7HoZKhsT=0adZ;d2#aV<>tS0 z*03c(Aqlu38Mm%bQmd0rQvHEJi+`!Ivl}CoVwo(G{Zn1%c#^QC28 z%=-iS=qF)3+!#yS_9hKxon8c3-xM`q{<;X6RN=}5U7Km>(5NX_gv{ce+o&d@QDELE zq8I;5dkLM_R;HF&K`ljhqw`J*-euT%`>IQ(n@1g|q)MBZsqra+>Kp}y^o3G~gXwv< zic?(LY{s@Tv3lZp#f@(Gy(O0CwKrrtudT;i9u`F%_rbYZ=e7mP zMMB@=hducpTi)+@1Li`{skzDlC%y7(wUg$H|@FD;!?%= za=)9knW$6n=LJ8#cAb}AH@TPxvw{#;rHc8)Nj3Fn>dDdXEe(i{9!I4Ajvp=1z#a$KxCMiA5&g=DS}+zU9k3 zTMY4=h8P!~mM_Va+L86m6YrYUFbWs9Q|jillnmiSAW-h8Ei8vol(v2^W)ff5Td6%W zc`ukTf-w4D>VzB;bgZy zehoUGu<;4~?iC&h>qz-&l#gKFX6?fYo zfh?WBvS_D)h;{Q-{m98?M8#>tK~|0|mPxet2?+kH^k(ERDn9|S92kV%c~o;(W|ltb zVn}Dnb1N_j9_8$?eqSOA8$xtksl_Q&u5Es1OXJzD{fkBd;Lr@Elcf#Vb^oSJ-kuAq z1+=qv6<@Zf7KX?l(z<>*H&kR$D2c->x$_D>~p- z<13RCpI-b`_t0cqWMGe)&|RUVu|Uf}xT%m{w?h(JW%bZlG}H;H?bN-+&hSU-hrjIS z4y}!@Oc1EvX@g%Uzcbe;a-bo+UG&%<$e;0S7?D_Xs6knakIoSQES!AUDoNJd3s0vd z!Q51x)aKlL=^LnLcygN%!Ao`_;xru#4gr+VtPzHx;b>E7G=ftzA-7N4cKu5tJnn!8 zx@=4}I6B=}NaHqgWjW2YHtuUVpK+&ZA=RzyaKc5&RRH^cpPPI~lbqn=kskP6fJlA6 zTLgd2^?W3}K!gcp5#T?-mC?gt$Rzu1Mc4igr_J>m&F0s!QD)&Tp(67GTRerEGD`;T z@(wO4K%{bWS^jukpN@fdV{FIDnj>!!bSXtrgIg~6e&w>~7bX9mk3Sx+L7@(`ZiZ^| z0g*;EC4Tg-=VDwlBUJ`klWSkk6Iyuf_sQ7{=MLBN53p1<;{uMA1RlO5e#qjmzmC#_ z+|o+T{vWniA655!H&s|`Vu$eUvcW>~pL*8?{Nmt{p7c{@Be_2S%(hqL+d}$Q4Mue3 zsPvTa&ZT$KMPdH~Q#5NMF_~)sOJcUI4i{@QwO-pe5hs{^=IJQz218lJSV6m5CNim- zIAigfgVDEqKhb2?_(c0jDq1VPSna*PzI(5lCxsUiu5>3P`G<(|@2f={bq7jX%?K0#ArlCzs^h3eFnOq~qG zlPZ|IvPi`k$F&k^_lcPcYNuQ;Y^!mPIp(y`sHQmEW)o@Ptd`kiFnlx)N)&8&UHjbX z9=^l%4fJh274~&7DKTQh1QkWEl2N<8fn+%E#(@$2#R%3+=jtm@D26nyKHBj}8;U|K zAJ8>LC#lebd4xw+$Txl^APbeGM$!@-Kuz(v-g=$2Q>IEC)Fi-EQP^i&F9*~jMBS9x zTt2jAJ*6~2DaEs0V~V6J0rRe1oo;?%W7}EmXQE{6q?zT-42{a$NDKu%vr4t=)aFV# z~A@H@5*y}O&;h9F%l$v`tY4r6rzCYUVA z1aKv_d^y`r()4K ze=%C)nGx^Pqjly%IxF^Im$obJUf)iJOqz9`ZkOfI6puc>!-F+X*Fm845%fz8EMIXV zmlw8eN6Er|doT=7yy-7oq0t{V-La<#vc)t6z|Ye`8g8;B;`j!eIdRz*oQT#2Zn$ms zli`q^>*h<#wn{1wQ{!N4irC<|IAUd?G`IM4)@UT)rfaj+=XTdpGg+l)mwYxxnA+ng z=nYmnaM@NziHQ|K8d5Uf^UC95OYvnE#=4GLa!I-lEFN21COyAwFRc~U-WY$++ps8$ zVU)Fp-ouhNJfGF;2#9M_icbG^&py62bUU;*9UmvZ5|@HP7XDDW`B$GqcByX;VGPL( zvj9oA6oxvESDVi(Vud2dJ%p{dzR`Ka%nUsxUzskFJ!|dYcZuKvaSvUJ znb5F!<)^{yJ6d@#wlSM-p+2CcG?;TBxgcrnB@Opf?nvCXglFYU^QHdh8%Ud!0AQf> zK{psTm-93}+bY0cf9=tr^(mug)Z}Mdu&b%DydDpePF|>k${M^{$h?+}F(a{%oz0|3wS?%dFq! zFZ_CtG%%}f_Y76{Z{>kMy`m&aM>v(%aX9+jEMK09mZ~hMtmuUmE78>0VM2Q)v-qw# zYxCtRllQ-U6+z1!;nL5)@4F4xPwC$JSP$O9-YgM15_>sZVzgaG`)uW`tGE;@j_D_Q$F?mX6Y(={$&tJ2 zkoVdWfL{xlsil5cU5&wKaouKmX%bv^AmHJx*cn4%d^QUr0&4D19^E zTfN$I&ES%E1jP<8HBHv(_Vd-vMckCwWFWE8BIb!8l9%CP?A(j1Wuz4d6a9jxZVv=W*0C;Y1hqhVWt- zLOFHhXoHOnmlAE~T_HZIE9cyZ&Vc2$`yBZJh|5 zxjH)pY-wb7o7uB;?#i=mTe5#EPohWObUeuDd8Rg&7&<($&BmilbgnP(A71jMY9mD$ zhrVyqd{3;ELlE_UO`cCEGvnUT=tr1hro(Q>zzVn9yTcfk96JU=^g-Oo^pW1TW+Gaj zCS^wX+4VP@(#p2>^yW+W%bm(cPk^@~FV**&ya!4#4=?VQOztU%W7j3Ap*$NV2d-m- z3bKikDegp}O?T}EcEo$;iJ54Qt{*h;x~$+|F^6{ac@FliF*>QofO}X20Kk_6ZT)xsk zNb6-LvkoY&c#-E2k6-^3;MxDYnk0=`@)WBWEKG)XDtuBnPp!{O*DZpZ0T<2{*kg$|>l(wH|k)30E z5{n{GbOomP^Wk}*tr289d^sEIQ=2kGE`a{Z+jr?7kqQ*|tQ%SBxRyePEZKjHp6~}~ zO(aTkZ1m-FCV4Q`5p^B$_%N}~MR0ibA7GdomMC>u&qxK>+u}hpB#?($O)SIPLPRc- z_-#!BCDp43SJ9T%TL^H5^>{V;?DjS2D4oeH<3cqafD|L9N2=3B-oN1c(Wq^Ibbtj+U>)mX=q)Z8-yVq?9carS)>5V&|`rKOaeY*D3fS+tlQzl6L zYc(cAxc2U!YcF41A1QD-mpqG~W`Y8ZFsO(el(fZSOJM-pikP# z&bC%OL3Jdg&H3yDFEqBY{z%`L9bon*hox}C(|lDVzfidJ&*)A*ocLd;r~Fy=&hLf9 zv;(;e)}z{HL;T9ZI($|;G=@Jo_xR^>VBpf^J6>{QA^jQIjPY$Nh^+ogriNX#LdP2s zLt3cCazR;b(H?U%ivw@PM?nCnJFVWd`j1Jew1p%D7Fx2eT)@c_!HrKN>^HuOMBuNl zkgB!bQV}5KuSQ1Qfpbe25Pnn19GL<028Xf>cH3v^L~O_w4F0V;zb9;OWOC=I!kH>% z>V~Otx%fbr1Ok9R#>vd7FM*db;DFuiWRjjyS&Z?U;n^@o*>tffS-(E25 zCS%TIO0;U4$m)Zhs9{U5tRX+?AQo-Q%0E##wv=dHPNinZ*Z|=Jo+C^g;lDC6XTL z4!(jQj9ISamsu%dnu96a9pZ&jWHvDenZQ${8Q()E_7u`#pk*~|tibZH+8ufOE5hgu zuG-{AYOYOqqzu+5++Ir0%gsp!fI-4C+OTm#Ux}V}o|{8eykLlDwDp5x-Eo3QnL^3G z&!|rjGL%aalNj)7=~apwSjl&6wlT3tbzx_D(D?J;Bdr^Rd%`cxsuwc5Lq9&<=Nm0D ze@|91QJ8+Q6J)5g&VG@{RXPk1-LnYpxO;I{418wO1b8 z&rmb#$4y30Hg}#)cGN(T%W}oV?be%%KUV^~tz^|999}n-f6teDR0!w`c_d(wN$wDq zxy6i%pj4SeOSS&6c-kV>^X~EMlA_cXe_Gcs#8}^SptD#DUbSWrNpdFbB(-TT%nbQ$ zO+lCq8P`+@WOB(~mz}x0z}soYuU*@3rz^Q@4!(jcHsT(%j5fVi8~WgnZFh&DQ=u0G zP5*bVP*P@Ug0cqUPS6uH%;WUXi#E->W3%~vVdAZd4#M&XuI~VWuHBBAkUc1iWc0k7 zf7=NHh$q_1EyEQ5+3@(V#N0Xa7B4YOmEHKP^O$do7obLOW*;_?w#YITgPFZepx9D{ zOH5EE4z2K9gM7-DkYo8(d+s6P0Mg7|NwE&a`dyRu0ONHX4TTI}J+ewESUJ{+?G#L) z(omU&$Jfms2cvnzBAwP&8Lmg8D1nh+IX+AW`^puW%i42tfx=;dp zW>uK}x>y&thy6Vh@FJqqcG#X&(K@i80i!Q&(iDqnpkMEa)4%_AenrCur%Cl}LfUpd z9B*yJ^D%a%Yh@he$a>_TqhQG76Pa`lg zJ3jlgN(fZ7_C<#D0Q?7lr z5VAu_kgP#ok8FoK-j(s*DVFd~lMv^9@v{lYQvS=EpA4Onn-%nd3yxP5+OMgIdT67U zKacY<@NfG#wHe!4t~x_Y*ha#JhQ^1tV;>nt&wNu&7tYi5oC|-i>))g!4E(qkedcj6 ztDOdNmZkd3bd+5MAJqB3K08z3W5-U&g#RktI1(o`0mK^6#dKqX53S<0#8Sqo7y501rInjevMbAiuHt{Q|8qQ%1PDsY zx#!ldmJ-))+GFFb+Jb)(;XjNaLHwYbUT%?XODOo|@rK;NM_k164K($zdrH?OinPFx zGq*VKgfQ%xFjK?gQ=DA5hn_aGSSU0`c!{!3ecB<1Q*UD}RT7;cOR{iyf}k7$v7r<( zy-W4j?hL39Nuf;QHn5n30k4ZdQ=*W(2A8%PJZFo;%9LLX511R?Yh4xJSXwTrh zz*?kfXx(~f&OUdZQD1-L*J5vXNkD;{&Y(pf0BZH&k~Z7Rq@R2q_t5&`m%9qr9+w7r z)7@G6w`p|7z;krn)!{P zaTmB$W}p|z@I@>#)z*fVp4~#(a5R%16KzdJst`}SJjcrWirBU)uBDUZU)uT|o0slh z%=N$-(vTypz=;zRr;uL#491Vc^<7>wa^E)iHoI3qQP%Ce_3t;BU=WvaT?oVfSGJ?uQn5sgfN$o#kWH&-l|0TOU zrmUWQZH)sFe>`$2CA1e{J|_ztn&N~=HVe`tDA`EfsrVn;G3Mot*YTa+kpX%><7FYP zLUj8@Un2P)b%3VyTGY16zW#OyE~-xj_}gqNOlD75T;SLSsx1U+ha&g`-Ct`7QFQ&N zCcy^4%&Y;2vbOI8Nq)y>&+9r0HqAE;f|0h_p_POr$Hgx%p6bTl3dV@#KeU4MYHRd=}8}wxB@8(DJydja;R=ykZ<$%vCY2+o~NhravLBm1Aeg`OWK#9Cn|LS z#tMB=6=*z!iVN$Jgnkz1gtfHQzmf`G_JG3zIAk=twBp}R za*?coa0rypMx7<~h2tC7tX%!Kjvf$7Q0smkm2~n27uzzD^XH@ z9u?O! zM^amD^NQ#@BxgM#6=`**a2i+77pATMV~0SVawr%GF$QtL@~9X=4~Ycw2ZKo_D~oN3 zy4>~Jlkb2FtsQpvM;P=wIB^yEHW_bQL@yU*(j$xfe+BRzeNLi|Z!h!Px;aC?+|%y+ z8RP2L{MId|sR(mTfxf()fI}wDC}#mtBuo3~wUV03p!YRQ*%-)VS)N6caGwPyRwt7@ z7$T8>mv zQ?YJ;qG+l}(FD}Q=8eBZ(hPzw0H70*RoGg>jqCO#kAl7W`5mdE89$Bh0P1w07YnYS z5+S`~&Ly2t{kH$4fS3$m`Am(4K<>R=I9^d#e?WdR^24OKSIY~6fY@idy|QbCP6f|#0rSE`sH6qo84qzUlxen zvih||JJf6KTBnu<@Ll%jMTjbTjS!V!wWE939_2me78Zv)oVhF<$+(Ut){Jz*X^{+OAVZUr+!!O_j7m>>DSZm>7n24K9 z^S%bW9i=ap)a^JrNbHdd$C$cR`7SxM_e=1D{6dXy*5q&w`-WTf>v<@JbqRm|~|eoS-$Lkh6IYM6g!3) zu`XgKmWPZcCe9i~ng((5Dkx(Jh(8P6eM51f`;4HL(Dm~6ft;1&mHSto3lpWIXD*b6 zGW(F^5tdPQPG5dHwEWATuS`f0vtAcro>du;oaPkZpA;xPW!F*|fmnW-7=Z*bf}4DK zb}FobvG(sr9hVJ`EEhFFec5{5<;dKi$V2)nO+#O+i+qg-WssBnUk9r<+FeX2mM*a; z(+94kAiyf+NcD1yH(cV99ts18tPXPJeJ)LLSAnJXf=_EUabLgpf9$oF)6jty>YTf= zipebV1KK(xDh@akY8T}zOA@f>VjU3x^@Jfl6Ui&~Q}rY0+x2Vrr)%f+m??F%chh;i z;k;_3>9g>|Om4wAd$*d>@OB*XJH5HHoiTuFQHcXaEUo26N!y zYc($&^#8pAAYrv{ekO-pje6TW(8jo$3W02j1?#-z14!5!0vMiTDWI~%33cbC@2lHT z&-BMY%jc^t-2QNhl|#wbv9+mCD-0sPwu=AvR`$I;Z3N}egQK)=G}%;liuui+LkO1PE$1dQP-<}9luLV!cFzV#lb#}8n-5$}a;Hvup?q-85#r=3-erDB{`TC2H!aZ8n zwR;HKczJE6qr}O-wo;bKEt_7vng7AX9=hy5IJW=CUJvRVFDa?sxmP8WbX+7Frp@Cy zG=a{}l9T}ihEtG^?&a;z6l&%~Gi01UBiGxI;@%=mnIG0Gx#4s83^{Nt3hSjCAd`D9 z)2kvxuTfyKRo<#*>v?Y{AWzm&Z=g(tWe;5+r_!7g*3a++l-3$gwU6~KLj2M7RMyO6 z%=*s@nglIsU7;($%oP|HkAb-xGeg~YlHk6oZ;7)$mowJKDyf4Yqh5LyZ?r8HUKUCB+%kIIVXYjR%hSF>8L#{(s8f>4l`<68~ z9+-7dO9HNw%i=_ly1Fr^^yV*&It49KjUxW6+)z%2h6Vr5WI2)mbXfhs#bl=SzzGAR zt6ndv90U2nHWUjM{>khM@}qQKV`q=<-PJ3Jr;rFao~aEazz{L&tp6Y#a>U|)Gw$A7 z@{E3RoIJR1Mpqjdf{_XKOc3fbDC_3bkxD2pquTcFLeKJ@FBF?VOtsi`g4cXAyOE<= zEh#AJtoDY8-FPHa`R|uPahOoyVzZ zKeGw@g0U;`hwy~wNWN_Q z6mwrzU9zQGpVFw;wRJ4+4yk}9_@g7yq1rQtqIxxkq5va2gcUddY{wkkqaF zXbi653e%W}Fz2Fksg3D-=5~rS+zTt$_O{hkX#L=A=d{OnB>)uKL{mp6JL(n z7W=}3?Y{q~xa5G7ic3K0PDCfir3LN>H=5>9dO2@=Eo}Gk;vEKfsw0U}`Rr7=>1zLg zHe&!Ip^WX!IjaVlQ>rvCO+)CB-!0f=8wD^vR|2F0hvWOyzG&KMw~k~fW4abvn%-0g4>ud7z=8;zyKkLx# z3_k{!TY@8QJM#{QYBIYA+$>wn9;w($7`Kl&88z7rt5UWJ!3$H1m>*0yPU&@!lhYvG zE5EH53R_Oq$KMy?^5q%7F7DDMB2@(>x&1n2G*ycy(m+j4aXq1NSubr?uSB(>AfwI_ zUIuV~Swam;1EryEnUgzg7zNv0e_32lr{CUbBlqteaXOgi7u|;YgnnS$;Gn#N#fw+P zj=c1)HSps=6>(bV*q~(BRd}C{q#!8Se*>>Z}R_QY9*hcJA0;K+j6F5L7RI)?;X2Xx4uVyC>d~8DD+NP~$~C{9{k~nOq!0UP z%Ntyy8GgnBdbzombD`n@Kxe^~su-69h%f>?T}&7le(zye9FJngHWojR(!rW2-e!3k zWrDEetI`sEZHhgKu^b!a^tpMa!G+*CvNc zp~lQyu;*0Zc!#J4`unWVjT@-(4Xde)co@5!49fA-GIDO)<1BCFZ>O~i#6(}KN?={G z4tY!dtmn(vKD2V^;$g&T^3%{eEMi(x3E+YO75z1UKOVer6NVOvl}xB@zM9I)QUwBf zU*)PzkkWcSeiaPD_KoLd$L>IpCP+VE%&6)aweG;QCB5gB;)>y+2OW@W3Mv1nRvT`@zubEy3%98JudIcZFoW&&{p6r*+1^4{91iz1Txp zuWKQzz{TY}1rds|p{gm8#ge>enJG`1s!#)@5>H}KO-XLwl$lZi$r)d2goK}@jM)D- z{9t-YC!8XWOTjG8=LH--eP@(#3Wy@U^WHZ#cI_c8}s3Nm@mJkC5cKI+AO*0YIn^ARLdy4HYF2$q%W7_CJ^SS9%DW? z4g_A^%oce0HA0#U$2t;41RB&q>6_jGU>St5Bfa>~c28sZgY8^hRO8cyAUG2D{E+I4`m3mKAZ+MD1)K+Dd- zf#EoG1sL+ukaieFO$UetkAAYX@;WVoIPdo+D@=54F?nn};Ch#{o!Rrmj+tAv5SYTV zkr0woDzHo7Zucf?=7BL!y>~<|bS6TcP+Q&fy6+6e=WJUvhKYXIylyLWE9tfubj(b8WI~_ z9tk^s)TX;1@a>LCi1fU?W&^w2?Dg^j*7j;wnPJIprI^F4pqeiL9jqf72GAhBB|W=@ zDo)R7&Am@HfP@d;l{F5^-tqDs)NL#&@|E-?@f!(UJTWDKY*s~#2yOprJHrfij29$7FP=IIO zUG~j31~h`^nL>$>VaYFJb?TW-A85(?S5h$hqQF$uka8+*{kqmAL`*7erV8JgJgV+K z#`CVi5n(MB}0C<==u)$Lg1vg<={6I^^HestkYt61q8M z>a86*ZT1Dd}350=zfK-m%_CPWl1A2Gz&DL*xi<) zDC@;vQFmWI3PL2c5M_bp!E@V2eAh#U4?Y2<#v76fEk&9{FCMOw@0@Fc1}}u427R0W z)cCjx@wkdgk(cPsJjgP2tVe>%Hf-~(ctpuu0fp(k-N3h^28iO&G8m%lobI5Y;k6pK z>25Ma%L9#&&{n)vEVRU*Hx=}|tPs?kTKXYCqLIE+r@7vG{bE`bj~?@KWaR$UoK@aHO^e0O94{Ko-bG$I~h5LSTzkT_8lo z^KDxe3`ov7`NOSVRs~5d@~y>IveWMX*Sffy9;4*0=36qWoF}t5LSgm$mCtcnASWxw{Rg!Vb!hNY?x#{fc^1Fs zKUG7Wcm3bAQ6o7j}oFHM%H*)|DJ&k@|KPTH$J;#*jc0YsU5f19`vU@hCeEh~ik7I4<$goti9|-P`#NDAcKGsbxt!3ZpLZ%V1NBU9;H^{%}$}LLA zQ$(t*@C<1OLo7CGMOHLa!dX#JMg-a#Lpi3=iM1-1CrU5-mM&MEdJ`K|^Df$kJe7n69Hr{8}z^2brtuTj6V5tt7KT8Z}^oAywF`ahw4L^LMo zV{|Dx0e9DY86HVPDXJ6Atgg?Lu5QD-_pF8YKCI`X44>_l^lT1w`X@8D<&r80P*N*2 zdsWG!I}=nD+Uh?WRWR=NkrYtY_8N1Jgl(R&nxS zS-a)6o4dmfx7}IkcQwEMXdX}AUI{E#9I&K!ge=mk=)mA9? zumwk&-w&uzzyUQ5f~-{XDS5yA&hA@NQTOfxp(M@EY6?J;#0)hG72*Pn$^f{T<92IP zp@cM_Ga=Um#ZPvex#s_OOMp*x0lO%H2*#KK(xQ4P`RZA@k> z)V5QU2IS=lkn;(d#hr%0#u3~}YMsBnRv!Le{&XWW?M-{Gzb=?j&0}ih7}swRL$Cme zbzRqpmwV7w@3JH0bu*-P#Oy&yfQk}KVra;;H61-a=m2nHIU8BlR)Fk23q<186`NCB z4U$E9^1l0el@?`NK|BTY0~)!a7}n(S{oSg#?u#0XteOMVgFw=oLTID-sI$uRWo1~d}2E#os|%d)6+?~PT;y^!9;O@0gqT?YJ7@I zBiA!1HJ;6v2e-%be51j+v0oRMG*u(Ues+4vj)eek0sKA;D9lo&w$4;;L^~y`Wf$t@8?mwGFA~`pivoeR*+;JDggl_MqP$^!VXmR-U60Od3|`2P z78uqw8#SLVv?71S1zAX8=JcE*r!mN~vttAXkjp>{Aj)$xi1V^f^o4T=_#4}HDO|1y zKsed9d187d)tXaX0FhPPOOT+JntXDTY=0hA!5ilRZAZ>W((w0xwC?{o{w%rJ-u+AC z@#RZJzUoKnH(=;qCZLtC2Yy__W(N?(IR!SGqzwdALLGb!uAWJYDj*DgWiTMEy_U0P zFe5%#yTMf_Y2ePA%mg&X&W`T!=`|D=+7g&y0T`wb`wDz48m7tWo-y|+uK(2B&EK8`swK4s zxNcz_Kc*)9RN8ix`BlSX&@#_cP?5v=Zbl)`KH0@j!F4@2ML#I@hD-(==tco7%uu7H zFcYgQWqv7Q#wh-W^jzLvK~!Hcsl(;#Ol-`UNT?`Gu-}G@ zs0oy}@&KA-slovFh;t^(vk>BpYVH+h%8bJ++6R!Mz^+d8);bm&A(aR;@)aw(a!St{ zTy3Jbt7nbYJ_8u4xY2r7ti!P+7f4Jj>zYzQyJ}UTnogRy>7bf!%Tz^qZ4_31sv%nc zp?fk>kt1))&i~!zVbq7Z*?gl;py*}IESuH^BDS8C+Ml1 zrEq%oD^duhfI`-QJ{nNwrS!WothHYG@SICn500=5-ii;PjI}!Xj@*p0mPcDonMO77 z)vz9aFv%)xd+KeMku8uzpcwYaWSBie$4bhZvj=&*-wOa6Ll&ia$h7E6Un`wQ1i~2? zF1VAyw|p|As8hTgaW_OUHWm40l2R%yQ)4h+r%K~OD`8)%rRDtMa!DBX&|roLlY4Q< zs@rL@#wj{>Sti>ky%*>{eIT7PA@pb1+2(f4*REv-_2DTmjjVp#dVi-g6|&_Yr$3b* zMjYFxj;vbS$jrY4OT->`;jCFC`m7~z04AKwNkCtw;8C3u(x(NEPGAX?e(e?w6dK=i z%H`&Czj0&%Bn*J$XrmTYu7R#y?%zT_8roHl?k~|P3k7;47HseeV3gi%+F`E4Z#?p# z%2B>hIYV|)4CnzfZ`dnw?4IxWj>=yOA9=TO>(hDu{l6-ro3?E)r{!GKac>JJ=pk4f1kDzrRc78agMX?2lL14tVzw5qoXT0I&1B>;g1^Y$Z$-W@hKvc zW60i$oAX6#!y=y}Qe9kKL$*EdzF&O!DZKlXKlGabAMj88&wkn=aN}Xd^9OH2`UVs_ zg}eVvrF6BXTc}J*8;LCzVL(K~oi%~IkLA#^?{X=0HZVCCWoNLz14M3-+2sGV_vYbH z@BRO{Qb$r$DwSnUsnoG0vNPu>sf1IV5TXd#x3ZgQQIhRQNR~+|l`T72hV1Kvti#w% zXbc8p%=Uf0opYc2{(kO1e!uJb{jTp{-*cVQK{MmEJeSAg@qE5s@0uIQmp=srgi&nv z2Y82XiFmSHv*`KEp>vsxu*cO?0&OuU8aLAmVO1;=j5|=%js4z6>`Tcf$ znxYyUo;>+1H>e!K_>qVj^%usk3dWuer5*MNHa?;K%o92~TD>no?@h$19)BPKv0fIr zHsK4urM0-E_4D7S21V@)@43C*T<^*|z76gte5ri*9YU60c9@-Pja$&(v{cx6TRg=c zyz{~#C_5TQ8saBjXEo^m-de$-NYv&|Jq^=SQ;ty_Iu1QSC!glsffnqiotFsK_2&F= zdUtWYL$LkvtH3wn$J|$H^9~DyZgWPtJ-B?aP@JuKroT%`#{@)tze7&!Pus#aEZykO zy&82~+GzLjPSryvp*iS~{-IwN+~h=UxRTc^vF>}z(}v{vB92vW-&mfj;4Erz+F)Mx z?#sd#{jN=?^#&#$fq*sNm@7xI)OFyq#X9Rgt1WO;h>&^L9iDL84mv#WcOVi#w7Bv4 ziu;H=pHu34nFyIFk9e1xMBn<{ge2Y&4T$0(#e9X<&Wo0+c4bE{UD}?)e8nkyaQN~q zht}JY2O|%eMFiLGTWkhEd?eK9dX&qzL-0B{fTomxMJT_lxER9i_xL?qBT&1&(MsK^ znGkk77`n2Zhris`-6i_Y&P#4s?Te|jc$~XhshpoymxXu7ma-z{_I=?g+%hc7eq0zM zGR6H7*A>XUQ_vG$oOh)X|8+bi>g@obf5l2at*i2=HRW0hnY>AriKDGkc=FN6-O(Fg zfBjKWkXpR`;hSwv;%6UGYMagBRZ5l?&+XTXJ*wHpA%+1SM3*zW+|hib0Mcr`iXa-w znA1jNd(4!5-{-s1!)raozSMx>mixSXCCfeL2`^rZbi@kcPCY_K`z9BH=&iCUhP&uUXR_py zfJUJB)Ug|cl_`D$K{6k;JnDt32p~_;pzF=9y?5Kbv{k>%ytDC8kHo6@^3>CijJJi6W+@y@qU#^$Z57y_Uy)REB`EUZ^$T9U=jubdcj=YA%Q8wQT;qkd0nP}BSHr90O1?m)BoESW50K&b3cbB4<6SP8`K$bx{d0awXq$G)ho z!Xslv=RVKM@mR9PM7&yLi?>nB;QQ5F6jQ-+tuuach>D5#!83=-=O4-6BDW_?Yqys^ z+Y(DFIP2KjzVxI(-NtyzqN+G^@WKAFgT#SPHkvY8(3GtevFXv5@#Fe>ac9$AFutBE zL1}xVYg0Ehc6`vj_OZV#zwVsYLHQrAw&|b0WR@gwH^ax^o5Q!g@mv#vb#}i-yRYKp z_lt(tN^gdSi`$#}s+KC)hO$VfRsU$o5k32*inl%Slr9QA$AFPk#5 z>X^T;)TzyDD;+k7d7`R(Oj9yqcUo%f2Ol`uyeE%)KJy$({=$Q<^ z?ISs&)?-;|I1|)(+uOzE(_N)oN@&kaJy}J~xkdgJtxmg-$z7Sp7tcZ8m&2|1V6gtp z;CeMjlaej>2o{jwmWUG8YXxsNpF06Zx`rOSE)YwU`_<2^@CCH(F3AwjDt>J4nvT5_ zu*bpicDGID_DQtdQ2&<~)!jQDw$3gXKOXL|CPeNP($s9ZqhViU{`de}ck@RhTX8^I z{s(sIZZ)s2GoLkW`4rfafU)|rvH1gDfHph}-Ilv!1roRqGjt@>dTRX8G7fjN3)>&{ zIrpqF7~tn(Oj7ILp!2LKKk@9W*vpyGc|NG;*-~UMUX3e=62ujRe{v+klGcIh0-QG)9ug=uJEj!y+Iyu<< zTasq`S=oC3#w~?|F@5gS-?x}pC^ZA>jJ!xsm{GM(E48K{yXHJE@w9W-euGo*aahmu zIL2PHKVLBW;h252?!|)3Q{3-xrO}L5nlJT3Qq9`NErqpOsdAr1l_oD**JR7yow;@< zZErqY8RmZg06;q$JAPA8Z2HEbwkOMQ{wY&nyHm`$u10Ifk9K==1I&e8F22VJfY(VYT=iBXZx^k^wBwwCrzhRMh6unv|CrUwgA$Db6^7( z;i3j0(B@|yEk5U;myMWS(vNJLSP~G;>nuxEa8L}}(B>uAHLTTMGYd7pOX-&c64(c0 zDsH@qc5jM2YUXs@=1}dStYsQ4Mk46bVXw)Ch$^LgQD^KayB z^}aI>t+4@TZ_AzZ(343n#9%7NUVE6`t#PI=MI^!h_lQK~^u2&4j5OcDJ;H+?^!ti& zT0IXb%7^$%*%cl%^7)~qDu3U6D*(+<1lBN{IcM#oX%taHytF!&U1~OFFtxYi)MM%>81g4zM?M)M`8>uqsggDfA)N(nEztm zaiJ@-;bOr_5Qo2v%i%^wZsAgvzfIXz5g<|(h1=E0EJL|3dMy+?xFirolPFhr`H6m9 zK+!CJ{Ec1gvJ8-QN+z|#nl#%Yw{@9IEv4?LD7S7g{i)f@`7;3;bvsq9nWo9IX@#Tv zo?i}I3%d3rKsMorP7-d}9aA~?QT(Ek#E5CSIz?GH;>m3GGo@J50FO z0q1)2(!<9q%e5y4T1)Jx!Ox$V-<%y~l{+~-bjs;#j>j)=VgK?Rl{|i5<^l49?5xW) zgDnT!yWw!GSKZuRknjQqT(bLy#umd=re41boH2b9Fjs2t%RFx6*SxVIrf5wJGMSr&O|YMH1?sZiAcIkmt716hUiaC=PLnvRWxLyFeJfZQ;3 z{r+Gt`pVI3)}Y@VhiGs-OEN-I!mEE%JXH)}C_7le;`UdT&fe_c9SvC_G_PleS>L>} zr+9Iky%n4f72=KwW9cbgr_LYhj|YmL{rqwbeh)a?UZ-AlDb+O!MWs~_CF=1qmj zWV4qc5>MdJ4QoO%=dikgeABY4jdq6ZJmg~^UuLJiyw-S8z{-#Pq)IM_*=tZGZY;mW zx2QpD_~nlb+qWWz?+L>#Wof6>D}J|rcS+#LO}I`A>=n0Y)}8+X4l*`JE~xWKX-vG8 zjQGMS4)1p89up>oLD@~Yr)n>pP-i$ac%|+i%;?DUoHdOIjb3`5vA4joL~Z5~r}Ers z!-H~z{%UCSv_k4piWGj8C*&xz#-=`UA)Ktm$Qxxt!J>VLh2L{jW3$8F7`lFa;`B?F z`AtPrc`{i`!>oKY!DN2Y4K-nfnjR_Flde0WabVEB&2Z(%?W{giBsi4%Q&r`$q*H^8 zZZ>N+RqpEKlS6H9HD)wv16p7KHg?4iHw}tVMyemy5Jj%v>DXU9ROr}!e?^RaM10&8N2HPvdiBeNuYo}vuR3Ofa?9v0d*%%KKX26N;@IIy8v1n zl5HqShYgM`J_xn@<*%1#lQh~VMG93_`%gFQ%+7?Ca^j~1ikI?AzPV0US62-&qCUZ? zq8mc4vwcMb8H_tcMG z2A#kyrR~%eh|e?KX0yc46|p|vSiY;}x2afFD|n|hqbX_6Y-nq5;cx8(9T{{&zO`1r zGwtfexiBTJXI}pGxbN(R$G6in*ya1or0W~x%O%$u&ru%G57su_vJ9R4nRX#bS`96b z>v^mF>GGMW*_mf>CPP|pD$~?Rxg{|69`jHezBOx@ipwQArjTLBF2{GP5n380LD5sa$+OG;;o;#)-b7dW>UqqaJ4+8Fe2&i?xHhY-8+14~@BhUZucKNvI#tz) zSZS8C=WB#;9z+J6+Lvq7U%!6lz#Ca#XkM3qSwdaD6`B{%nOwiyJ-<>J#B492K;8-| z&M9APwiS&*^t}EiMCJ%K4S?Z;IV;A%5?uEgx?5u>Z^c=RCzMb?!Ps7veZ8!&B7mM3 z1>rTgFLV9HI+cA%JvY zJ931#@A?0D>v3v@73H@~5fpc|!LKWkw5dwKa(*L;(eCqldEr#p^t6NJ; z^iTiWRxXn5`AcwVCKWSR2Vt~4gOIe#$M)phXowUa1gWN+tVJD#bih+SZQwR`D#x$Q zQSd4 z(9I3nD+-ltikqT_M$77|YOfVmOFn2?->>;fO5VU}q?brpe0~3RI7Pu^paD_&uYSn& zHqiAy;_hiPkHQQ8{gYr-QU3L7_5S@+eK?Tu@9*HN+FgIHw^#rBZMmBcub;&E_b170 z`2Xi)?%yut`_x}Sad8{3L2*u~4BZjNFG}M*>s_Rzq!=T7=tg@q^V$l9sCQ|%#hnga z&E*e9leY2!`%Nr7>aL*(Y7KhYi#xT~I-)#>gXkR;@BSheQ6t|k!mHCbjzh|7tyFfS zcJ1P|CbhfpK=s8L6TJVWasRb0Tsw}{gp={bwSFihH%3dc7&xvPShR?c<~$FG(02Jv zS52ycW6f z&GNn*R7k#(=by<`EAC9J^Ca}AYf&7;)I4upB9g$EoQXx02NFik+T=xsx5C7}G6nFh zOcn5v+2kagk&z#j?I>iOzgC84YFN@g_ijkK>xsM%F*R#{fB$M`+OaWNH$MS1Ganr= z5Y*bF zgNf$`xK=XkKz=kTYlA4!ie3hWg!|%_?4O_o)2jd7A2*}tmY;)e>NSpOtwbz=x79J6?03nhV9TgZ%z^vqpsk-08aTz%B3enBJ zH~V_ce{TC4qA!pZB7Jy11u?x5zm{P3HF*B$Q_yCO3eoxrm^e2qlQ?*%%YX$BAUxvm zQf}I7w`j|S)_%93S@RkqcN)!>l7KLV^I$G4EO=qI<@zPJkcoAF+We?LOt#M@HG(<# zcw#I!$r}%56_aLA@C(*5aw`2-sdOxtE;3joqtC5DvubK6oLMY8N5GZ#Sf#w$DrmWz z(-DO!;7+OF{hF1r>|U(aU_+bAa9}e#CMJf%AYd!;Ycm<_aS6IA7iKKq0*+xCp*C4T zCj`xTvAa#IDA-XE%xHPNte2yUNBedwD#V~%j)2wbmj}cO<`7k)(#_4kE77pTElbSl zmMg^5L7JntcMqD;WVB*p6;y}?&zcjG(DZFq#xu+C8e%m}61|d!k+b$P4Yh%Xm5ibU zQRCom`U=hm%jx8mzkI;sA0J3a!ing;e3$(S#Twy5mT}OtMfSOEsKQhxnij=fjru_> z7P<%7<3suAb~jbq#A8oaDZ?C>`uh4$J&3K+p1ZhKEF1rPYd?1&hdpqd9tHagyOzi^ z;n(g`JX9pZ+@bGuiu^~}ki;BWA^GDwHcN-_eN|+Tu^jR!#RM`?`cQVq?fEqHS{hH_sDRbT_l~q0 z<_dKfEyG^;VUJGC&CT6R_o&&fvQ27U3N}S}&irZ6ledL0y|#`JhdIiauN$pX)k*e} zNE86=LaCgcMAjr15Rbq09q3B=>DNoU10ksK^|b#rNoj=~SZSjTI~o+waPXjVM7e$+ zBCPScug>4BWKGKBx@?}b*}RQ>>&3)3S`e(rOW6)J3I;* zb9?bHMgy3X)+|9>)%}JqbHFJF7yy8fJv-E|W0y0m#4+5IfVur74CFh{`XJ5e^F{}> z=PXthFH=s-WOXN9ac6B3obLk*6+0`@m}C}!c$HU|fyx4v%f_QHB^u)BoMG=2a@BxZ zPvhXOmYb#It5>hGa=6R*d+yHJy|d{ou|EixWlv`lzWmvtS|II9GZ;zR4>EvESvxJQ_ z+O2Eh*>psctVS5!ljFNtQc^PghdG!h?RmQ9WF~5DDsUmpN{p0}h;^DYmGsh=37JeW z;jZOy)it$oE?gR21#6+xTD+^_%X+-o+}9$HPvS11Ieb2Y9(?~%VSOW|6&hdh!&Y<7 zBT9oVbx=8(#tsZnhTvWDPw+n1P9Pg@oRglQxM4NSaLmn{X&SmHP2c%&;rY=JlmtmT zaCM#^twMesCZ|3=P8le4s>c0eagp{V@wQC>)E)?LWca0cQ7h=4@ZX|6cE!GY_BvJl z<|)s)TrzB()m%BPee^*KM4&c!NXY#{ugvIDz|Ee73_S_ITh%zL#yDB?bI*cbAG<|* z+GPfjgq1Ob8CStP^ezkf!WPn6+JRz!*JI4$IZl?#A59h@1~SUE%bv822cm~lBE)P| zVI1(e@Tu9 zL<#hTI9nbhX{%9eg^P#0MTY@0KejTtdaC^T?z;Jv!Ae7W4x5H`h1A*e`0a};^kFQQ zKb{@9l!lt*uHiZINOpIp6!tE@7O8k5gqeR>zSf=dlTJO;oU|AxtbV>F$qcKWEQnvy z$19aDj-EI2-z5*BDTMwX(`*}-Gw6aj7Du$2d#EEm*7EAgg#`^fO@p<7;wliZ99rqh zfD@ybyE433R9q1u6!iUc&Al%OM4OMz37oV@dAvhk=RacR!AN3bgDEmgB+(;LdWZ2* zD})173t|2|9U^!s?#M8gLuX_SugPMV#n?pHhHY56$njAZo7VZF%QN9oD)^matUZ}; z`$9}bZ6;q!DJ1eMZi={eN2+6G;_z;El3XSwp<#@MuGUW&EZJoBh+dY-)akp9{FS7&a5jrH1T3kK?k)Mq7T~lDiAg z?LV1)tRx~Z9H_JUtLI}#I6+da-{81}&zB4BMJ~kEIxChg2jbYv=;-KCda>(}dbt)} z&NQc2W89`Kr%Ov+{qq~<4yT4k?H{}rfFAk#GJ%2B5MkgU>yXQL94giKG<@bJiiob` zPo=X}ZHa}R{{#}RelDwFpQxz$H%{GDeq7`uhnJp=$#~w;na>Fc2}iKo4z{29p9av?DMn#dM}?b%lbo}a72Ush zBSC&8iJGJ?lAfU<1?jeo)~@jvmi=%Y! zW~jtsYB-aG$8zUaVofYdk;UsRZT}EJt%x@Qn1&D@#x;|JQ4(6P(rA54NHQx32JQtI zUUP#foHDV~K9@zc?;P>;-ni**PpNuHe=toW-#4ssH zmPgO708{4Gx%PSa&)CDtd;i<0M=I+n!+0Eb(TXGB7ClU~$8rlu4Es^kxiaccHvo@I-BOaT1AG3o+iRwR8YG{CWzRAqhF2pL=Xgi{ zLJX{N6uKNREafwMh3GeHK78ToRUTGf6nh`yhwW<{oc|49FC4Ec?6nlAGQqE1ZO+rA z6j?!)@NuzQ$>`&CNYJ8X4@t|?l09QW>nW~`MPi`+;L6w3(>3U45|DIoU!Pom68m#Q zUxYqnmx^eRiW*!dY%(_u_Lk(yFaWGcu5$yx=1T>{pfO?GzMcl{Qh{YqOG+T^^Q?YL z*VZi?vUEowT8iJueLfyv5-p{80(PwCa_a|3{KspE_5*r3z2ownF?pUR<1bK*Xw-fZ z*p&;6wz3w>isE|ooggE`7(360{q+9b;eX+S*cT?~6&v(V!2`iKpu>9y>&;rYEF4$( zo~(IMW|&Z-^<5cyQUzyiHYB1)o0dRG%AEt=M^e|!DIeJ^Z@Of&CHMJ%^3<_2qRacF z;WneW#TI$;Oa`Qbo@q8@j%H;9UjWp`^9P60Azl4=?qUg3;yrQdR2{%i?<6m&L9~`u z8}jwfo6g2Np{$o>>yrFAG#t9sn*&&`ewfQ1#^pu9!WCLE3vYhqAYqSK(~CweBMUzVKYQfP+MfH!?%jB^=S4sMiTQ)v`5b0u(u7saFV=O~~%%^dQf+DFfT znH~9?nLQa-o>4Fce!}a9p(XmYIa!`gA(#KKl^++uE{GsW?8C>WV76gM23zvi3Rgh* zi-30y2NInJLKqOB$60aX#y#W{T7=;|fW+hu(#1jwz1)7^z94WPtPbPPw}X(CTDi!=>F*l$ZB@6YUu=|XiFWZhH>AVDrkE=j@c!MvWT$fIoRc{$)$pXm2 zDm(uH@mqPF>LPH^o?Qxbd%MVue~}mw^_B;I}L`=z;(aY3MyQKJ=7EhjN_A1sJ0r6-Lnoz($!mj4TM zw%y8?u!+T$Va{ZhFk_j;Vu78b{380>co&XH3Sb(1IZdj0fCjkpZ$iJB#3Sr?X+u8+HRGSe}H7_ zJ2Y$A5Cqmgz;+`RMF0y;W>L9JE+&Pb<7^kk4wP=_Ycu#eJeY#!7ib3o+>rHyz>!fI zbmv8&8R&{CAwsC5kv4J_OP7&xEg*;woHWS;)n*q%bS;a35Rw-7!v-~ukh%Q){P3tK zFZOaT4PwAj@W5b8p-`@}3^-Irm}PAYj&)0WDOJb=(les4Jbis*wkJyyddtXCm@z5e zcCQq#`XE5xqA(e6%j%U!|8gQ@YfCnqdlQ4|*Ohha8WX{*YHC~gO~z`1bCJO%n_jQ| zvSmXH+MYf))MCZ%wpz%I3JTYlD|v|68R$1(os~wJ@RJFBg){?Gn2~WPmEz;N+9D?Fs8)tX`vCV3I zh1~gl1Z1+H2>eal zL-F=w5{KInP3X#;hUdfni5EckfhTAozI!d=+z;i*bdteO0UwsaY)eQT-6NM6WDbix8bi* zn0g?9SZy0zz8|rW?Nbqk1WGAq8j#IdM9L2Y&Fh_vKJcO9`6eUGv%}|&Z5k07{oVYi z5Y~5}vm0a@q+)<&4s(iyix`7s?FM8ox+vZZ6n7ju&myC7QrZil844B$H+3o@r36@T z11dC~h?6QOfbEfm&S~rm-XRe4FHt|S53)4@!WK^nxF{nPwU*lDns}I>JBnt7jP`=s zClVJFh|IvQ5CX?~<~*UT-A;oP)#b_zx7W1sWpbEQtGQJEgY8K5Ak)T&&t~L zt<#NQUZ?tttd9hem^zD8Hq4$I#gLY>ePkWc$ebJ#xOxoGKuhvn@%Dt2Q3}u=*%oNw z(Aly9pywpwQ%EU-JBeq-D=MF+(3v&FONaNod1Pv^D0-|`eFZTkphX^_feDJKRzXQ; z4@_pQ%az+G88!b_K8XKbM)v2Y>vH<0IP9be<`H%^1iKHzMha9)2JwY048(x@aqMdn zf%DbEmE1NrObmi35b!aA2KQ@?;(U*iBkn^Cp>0MFGoiQIfMw|kimRWAv$Y?>VE(M= zxGh8ex^5^r{m!1i(Npf0ft)2=Lk#P;+>#pzC7W7xyYNvE6steY%`~7n3yMDt!kCZFH*d~+L317xI4~a3;9rb`T@n{YUb->V*t<&V6@`j$|IH-+vQr!cx$!x z_9i|yI(jDtY7jxOddNjX&W1v0*8K6|#FsC}5SD@%djcqHk1p{aoH|!^{mJ%`VRji- zMMje5gQffI*7ays_PW0cq23F}9NbLz0-}53}A%r%iSS-&Nw35mHhV6+5;qmp6O4

Ol~rlg_Qu| zjk&i^d~1IEQ-oxaN%L#ijnU=xqhx}qc7o28lZ_VZX#LkabdY$r+t+{nItJ$-WOi z(5j%)8p*>H(FoIm0-Eik#`T7oOLE@t`{sFiKhnLuVOK#mQCQn_a@gSyRc`JU5(!Wm zI_oU?xdOfpoZs%o@L0lL(e&AxT*--~0MN~)1p(b&-4qL76YulNFL&K)2L*wNvAx;M zBxFQLW=tA?j>OGgrCd&(C;w^R&1|qHh)k(QLPh**a)XtNG0x^_24lL-sUG??#VNzF z@&xua&Qt4mDZ4(Z47yAq2bFm=lA=Any<-cQERfwZKp2M%WzqbYsW42xoJK75#?n3F z_v+baem}HsvzS5gz6rwh=qfD=@OF9D=}Ez7qLizwO8~;B`dBbb{s(9c*6EM7eH?Mm z=D;^cTS*yW?WLC zx0+KT&|KW&2-JCJ7P-$+y__G?U#JXjOfFjyI}Aj5Oy>OB9u;6Zw6R){{qnr-q^6sm zHZlDkpiRHMC`a`$`0$B%FlKc$C?k+`DxEF+{vNPpyw0{q&?UR74KFj%_8Nzz4&c|)1v($NQ<)Yo@ttH%-}xCkk%;T{ zj>!dE3inf!4}-H#qu{9ac>v=u9-WHDso|m! zGQ8i_^F;ykg%Qj>b_V-7nPR}K_K>1~L6?s8at2GB@sqaSuRDzE42q9Q-SJ%D4X4I! z==H|ccW)7B_)9`=BO15knDXXSHdT|Bc%wdsPQj!UHX;8h|9q99SPv~secsEqh0uwx zlRnzG-$cL!9R3ixvrS<67fymY4TC-_nEIjwhJ$=}atx(#G91Bb>rP5nTdtZJy%(u~ zUNbp<+;}S1goNP-%?su zrt;tACDL{#e1+AlHP@^+8NskX7-tqP~k)g+r3VL3gOHqPkFryyT|Y3;sl zNy=bc|AO<4rp^BxqxE7EFQZu?LI+5TZawhH;sH=TGMED{?E&1qT3K2TyYh1$H4y_S zC9vu>_JU%-WTzV3+oAx*>4uVQWbtc{htg-i~ywcbP-nKh0Sh zYph0PH?M1Qzz^=2k}KcUp!fl?)06kmbDHB{j#{wv%1C~jmy@T8 zVL9ec!Wi~?z4ZLnxccV3OB>(5+Pus#IS8%7N1O9@+;%j6u>W}Cia-w|xE`m|n=2?` zLe!D6Jo(u|{}XJexJeb=shpgL<7--egRINH^6p>5pikqKIwp}?%J5~c0Eklc?D0!F zJ-?HS(4R*d=Cf;qY`0+AjMHA?4824`5oUk}kYFg3*T?&rxgLIRSC=e8&xpBhuGi;! zYYC=|z;=7Cb@uH{G>YA&Fdyyg;8`f4O6x^;i4F{eRrq*)B=|Hx*Q|7r{qwK#0N|O@ zdp37_jU_=2jP{Ywc)%Uo1vD9Az7Il^v_H`1e4*3*tvjZ)eUWpvGMy{mFX7t-&O_i4l zyBT6`coivzZLo^Vlg+}s=4TXyoa=CUDBM8V#8) z)P4rt>#;~&*MF7Wh=hbU&h0ODtR|5-Kiq}cPz|p?0l2L8hdE$2GSuqM z!J7u=`*Xu(4HK?{w8_QseNrf(Owkctu?FHXE^u)c0XTsnQ zg{E`FmhB_&XHLp6GZDs~8mnGl17QG0z`O))VQRSb_Xw-`y+HJ8l%;R3uYmyTxpJX^ zI?O55J~rUIc{VyiR{eP$Gx$fKd?Y>?O>v29Yg73+>ARx_DC(W99~blgs!P%qb-Ke! zTJ!cg4q~jsG)0W3o~|XeiT3E%vkwZ--WQn=tG$_ zitYQ)@+PduX}Giz_A+HZ@>0`9KV;B+^yn(0d6BUOS6NtT!qBeeRh;minLtUPeR$45 zZ4oQ&#uuIUmeksa5f7b?zTcE0v8;(Bnl!#s3DuCY632~dAhmAtDDsRsmVld2IZ`8suxE@cN zBg?mu5a2h1w21#GMu4Q5b4ONpBQh{;I}PYWPq4m0{YXQP0qh$sEXnD+&?@v`?9%?S zcbT9qNZgJuL=}A~gXYKKQj22KlT2_2)94Ug@~e^B?SlzodW8jFIv2GkhTJD5@^ME$f_ zxGGQM_uDw??GIpI2fh-&&Lwn2Le(y`k9PGwX+XvfwQ?BL9wF}#0D0!#=Nz1|GaV8< zYh~yXh?0QA%dQ&o-nxq_fLcEOLC>B|edqPj*I5HEFvkzwwZ+|QZ~K2@1=I)H_5UMl z^6P6=zxZH)c*T)5nB`iyE?Px+HcJxTZmIMh@SjoV zK@|V+ir0^IttI#2k4>Y4YYIuvsqsbjcbtaxBU2>CCdIQhIsuz+@h~eK{W$G7m65Rn z7;!kHqWTc*Ta<$_Fd3GyK@yt`S?EP)-w!S1U-0TXCwA;Mp1|xrv$+c`3sx&m_bHM4 zd+2~~69{>gk*|1kMi2l&5>}(HE@zPWOA9_oMI-O>y0hX?vI8*RZsa6V9tuzW-q8RO z3)cE$3lcMo$3(EH=h{_4GrK*mjM@J`0U%8MxlZkY&T3myY}L}L`%@nN(}(q<{@;S~ z;XB@|jjx>c2y?z$GJKFWLa4E34n$aq`s%Qtfm{tJv~X4hbJcQL=jnoPE@gJeAN}&< zZ`|pG?=0;DZ$>Q9KEY(BLb;IQ?FJksbVm z2v+%76p#G`ApX`gRYh zx{W_ME$UOj5+P5jyE7&DCoT~T;#6^^`CK0y5A0G>J`*RC>wSC{3)upHLAv;K`kL-q z@qm2qo?3AY)+c?e^$2jDHa23rs3|@Z&nbRIs+tfQ`d^NL^OzPJtN)qx! z)h5$oS%>*Q@(h?*l8AwhVwkG1z&#BlFjxMfb8|p>Rwg#)7z6)GTJeh}dP8k;h|RV? zky+R7ul(imxycy*>z%XcdbqdcQ72|-@_bNz-d{!5h4=LNSRbCzrybNT&H2PTrXl^||W0^3-SO{b&+#0R~3)Ip?u-!`V zo6|5%z3bDtFJ0NQL{!++{&&te_k_0d5FT71^J|t&M_`+@D38wvadKp|_Qz5u`%wI2 zd2KE~p?Bv@f!2M$)$asIW9aId@1v|K)&mUgqIZ#^>Kg#{7ULVz9yxYohz&wG8m<~V&x|piW4yKYj~VF) z8*I;jbmIZoRplj;!;7i>`n&q@6S1ByQ(W`@^qmayifC_nuObgYA}?4;DG&IvYA9=TBG^9jYqqj`(CeX@h~vbLhxvLj1u*VmFZdskfiT17@+&pUVgaAxEsV)o$uYj~t=e8Z z`Rm@r7>`x%qy^>2ia?K;Y+8+W`eJpak7D>1c}ODjr(|cDz?fT9>$dn}o#VK&*Il2{ z#UUxRphi}TOZ)9)7|XT+_=So4oKL}~;!Mg3@BhhA=)ff~02TFvidAv@jFlgRu@+8% z+LMJCucrG%6@>zV+kZgCEJ-{dy6qZk3Nb-Bi8le0qj#B0C%K~$bRgW@X&1j^R|^WP z+yU8=QC8CeJ~u@jbvriWVnC$|=rC*85SjH_W^rgWvEcEXg-P(2qh=RMH2TJ`!PUK5 zouCeb@Oh;rW1e%#);sVd#}}(|LbRSgA0(SZ8nUEwO(P*_R(#jhhaH}yiKAs)pQcPV z_|C9g2A}n3kPp-#p=_x&kYydJdP`k`y&#)4nnL;#L-)TSW{_LK@LY2X0Z@@#+CbjS zhLi{9&X4SLhOesW*O%VYs{m=bb!DL?3bf%sr(c|FW?jOVr+MroX`aGJ_>Z@o;is1W zykm=7p@Wd6BiFVTaI5ILCwC&=r<}V~^2v?yb7+rmLCUuf(Mri|}h(BLrg1tJv ziWiPv>Trmx5-n?RH|C~+&@jx3hk_J#bwZ`X$x8FUzhSNMjQ2}dg<}gW0A`bm89-`} z=`z-1^r$c0no}R9`+L*YfMRB;DGGWXXH&oxT7bJD{{+|@lj!?ZiAW2jp67es3e#={ z@1o8h&*Ua5-rI)9j8?6`qNh(Zau-JWyPEwNkD}^+n}1~HUK~(&Znnh!g^3EzcAI>;KloW zzOGfJGy@^Yi1M}7jaVx;7nyLcz7_S*9L^UR4m$~Qv$2=i`+eJ8SF5JY(Q?hXcd{?% z=ym_ztgH9!KI4uCjS6qm6p}$Y_{o-7EPY$(gzHe9!Aq9YY|gPEiI40nRb&CPUte7A z<1gE!OE<}|klOnAzAPW?XQ;PVO!&R~ESED{VO0zt?J+>7O>f3o{TQ(_$hg+&l||?V zjB;O*9Y2`wSgo$ZAtq#U<1>0!4sv(LAg$_OyfSEGnKyhir2DG$?=Bce_r;0`SJdD0 z_dXu@+W5&k24zG|1r(4NqVQH&AmX!F3x?dJz$~^NK@%U3Sq}{=>HnrWyAeOu^66Do&D1ZKb4($-*&!RCd@aZW~b!r|wEyPWtm7CY%jk z>y^7I{q>~-{-nj4LyY#Pmv_LN=7QwN-7p}30Z_6(YrSFBOUa7i07cSxd!x_wM&Hk$ zLqDI!ea5qkOii&RY|oE`RGdYd2b*dO?5a0++6eN>jrQxn2uh4}>1Z^TC%TmcQu}j& zLxMMTOA7htC#l9F$iI5#<0DR{cpKoWKeW_eRPktp+iPz^FFOT}x9Vw9tL!peE3hYt z$a;ZlAmUCdh{&*rRaM#RzTInucb}JvxYQ}KTpE#g5rwb%8=k~;9qtFHBM;0JxL#w0 zitj=qV&`h8#UZn=O;xidP*Hj3qI$1ByK`i9Y>p^rP^T+^TLx(WP=C++$U_~?&+hYa z3X%9AUaoqGs7>i@@mE&cqW(-@uEw{)XLDR2vsDm_kZI8;9e6Cg5W6hZ$&9Z5+DTJI zcrAXct1n?zKwgVFKYGC;e0FL|KQ#C|z7*)X5)u+7;U4U*M@bdGJ*Y$vm+j#{6~xLj zxLII&_{bPllwnnOnO&lcdnd(u>7PdLwaYWBt#p;nu(dzFVMVr2QA7;_|IrE&hLeK9 zEnp5V%z^K7=P#-74m=>bSE2CNsLyQuHY{CFI+SnW9KbwYlX}Ot;#SX&dImz3eBwuP z*G|NiFE9CWe%ZDvT^;iWjQF%RZVzf{Pn^TkT^jMk=R6ZU|BW6yK}g<@Gg3(*zN?yn zsizE)3{xuV>FQ)9&aUmg-kJ0Rv@CeN3aOaKZ9k7=t6g5%NHpBSzYt(ZKNlUPK3M+K z!;t&N$gF6|E71rzGtD zIhRH>10$pU9oxP=7Ub)O8WJ$ygDoN9?5(QwqO)BGW5{2u!D#l%%fgnkt)^+etH>|d zwcp?Yr!IkO!r4Wq0(6?JauI!9NynqqaAPn2OzLjFnbHKS`9w;eo#t7dBw6*nBVI=F z84<NFzq3K zM3wcX0pNom#Bu}w;$BSQahkz}EFadj3;4$GIw`}cu)>?2n)qjaSnlk}=(h7upRCRI zxg3+fS=_wod{+)|_xwE>UH+D3zQ|(X`D*NS8zTnhM|y-@T-e-*$e4PH^zk|(x{|8f zjI#?mI0e&>p=PM!nd0HA7X zj|?RSLb6iaGtdp8^9K8jRHY|jiT=-=9|0KZA)-q8)2~dcSJ_3(Z|{lt8{bZp9@*|a zNu6dkSYYh~^BDiUKRoNB1nDt^mgv{gxfk3%Elw`>ZztB@cW*z{i(-V83)ouy-8}R- z>--+(p;lIiEs9*Z)u8hA^A*C%T)sbvuxM2oEPKJ22H>KqLiN~-@2mL4k6k>53_5An0?DW@jG)+YYqTv-^@p$4q9?~k;=dE- zS2=m)>92S`def=%e*J0B6rg!TVm#I0epi_XsRJraM9pmUJ14rN`s-hEPjcU^kL+t5 zl*G2+^i_3pfvl z->N!I*Tjc0(g^e?I}+Sy(yfubagr8a;u|(uSj8O>U7CJLENYhs+ z^}3u{hQjCGf!Sh%y{Zb|Cw`@D@BUHuK9JOus9yd5CKRq#(GPIJ@FCT+j}!W2A~(uR z1MUY|I>i{=4kNS^iEIftwE!t`XrZ^M@ZgO^0Ln@By(l}M!fLX<6><%8N>y?_Ju-~d zCIlbO{q;G2fAx4xZ;(F#IDl@rzFSf)1BBQH9W>Rxxly5!dfN(t`pQoF93%-D-B}(~ zzvGqL>nFN6ZEY_C2i-8s{6(#-gshN<@M`{7kkWWOBo}MkxSC2sWc)U6VpH% zNPChRQh#cv!;B?DeBs3L>S)nGtcU021Wh5WYcur8->`4l1d>qC=j9*Y&Vjj8=x9VH zL_jGJ3-d>nmck(kqPs;8{Jfa(4t90NR7Nk;2T8)a{U{S}BqVW!GYV zv%`yyvDr}^*Qb`}+4XgKGpj!|Oz$prSmA_t?xP2;5#cp&>!v$M^qzn0T)KPs@hwm7 ziyI?anFf+fNhlY@CjEsn#nH?%A%bre)o^?dp85$0)MQh6YA@5wQC zmO_O@0V)kv@E8}kYOU07cnAOeW!;O%ovH0mNz=M|gXL`Pu67bqOC3I-Yk>{MEIIBs zV#qqL+Lk6`fOIYrpO#On3B+_iV^KtA9PwW_y!V^^iTKgB5{i-A_= zP$C#%RiXpQ|HxSu5(R`|%bfI2~gP5%7ZY_@^S7^D0k z3^6l>e1#RHRbScd^?ben0$~-F0+Im<84?6*L|XBRzZ|PDPCWJE!DFi@H%1xTsl0_& zkrO|TzxZa_XcR8Af81lqqV=$p!3$iRr#!p^^IH1bYD3@5M-FC>E7Om4{4A0mrv-VH zW&(6dLY6C1bOHawRvp_+5Fi3jzp1h$4W{sx0Bg|TU`%ULSxyw`m|b1-E_zwzVH%0SK?Be? zV4oW8dw;CPN+jiI{h6%d*N&qn`UJlQa`MX^rKk8e$DL2E{v7y0YF~7(FPv~;y*=Kp zm4c;6=zaxr=AKef;TD?Vw&!!bB&*glm2ozEK&RBczD(PVaXcR4SG+tUbM#qn;QRA} z!sq2uN9ugO4Me~O zm=J^uB*c;_zAol)D_T4CGVi)KAceq52m}6%`riXPK=^|lW@W=pE1sGBOk79zwF@rG zuiFqBPLPEKayEz9ba_AKGfH2Q=nigv?-dErZ`z`}9_bHJohWzhJpF4&X;R7dL1DVR zJJ=U(|7OA#_M#p-D51O2GmIso__}~=m|PFfomhm8@2W>7Jk4}^J^JiBg|;J z^BAtS&Tvis=CiwXZ;LG%S3s)2&QJ(Ii-+}juyr-RRgJ}t*!9YE&I!P9{@ZU$Ic98a zRJC0%M7mc0bu}T5RqdRPy*{OjwnLRVxVAruSpBBEd+r+j2r=h^Y5<`$KePYB-t>zI z3j$#8$1N?-m3X(M(h*semcxM|dc{a*g^d9_M< z+G}-FI?CT-JB-mw)qjJq{$6Y+oNa9Le^2K(hI5#bzR2LRB3JSkA$Np{K8O=4@E-Hi zVHpKulE2dwVs{}8sY=ExTCK1dWJP$$ZP!_#Qet$9Zxus!P2$a>dUbtwJ9q6|oee}pUlJf41Y>`1^>Yc~F}YdjmoHA1Kdo{dk+1%2T>iCM zU{I#R$_CW{;0%!DH!gIdSr#nb?858nUCaGoA|^*CLzL9hO5hC`7D+!~0!k}*Y7PKK zkCu0<+k#`ysfRDvH%}YDb0OB%J?iRy1cp5_XMV6ul8%`ue{P}r0J9z+lo&s|8KlCu zZ#I8alFkj>&ER`JsYA1k&NrIR~Mo1AA;Sm!0dMer2c?o8=Bux4BE<5<_!OfpB+CzY;^lxV{=QV2XM*kDrw`<55E$yc6f&;wX z@M>yA^xc*h5ea;uR?mh?m@ag`m%fy2lM;NxJ+8*;ef#kHo}L>aTm0@|!e(epV;?E- zC={M6td%xS4KHHU@%tdNO@jop7<(66DRC<6<=(tMC0bkx!fdcoWOiwCk)8M4RN2&e zbN(hmJM7hmNPh6$KyBNslCIv~z@Ab}he@_08jw5zyO$=K{%-{7>Tz-^ zXDTP3a}VnuV5WI{@28E#GHdd0C>^s|Z3GKY-+2g;CWe$70Ub*6%o2^pw%t)< zq)mw9-1`q<8zKujO(o@8rhhv%IU?Vv(u9(ih|&>LO9(T${kdYfIl6PlZ9N1`L1?xR zo%cGS`BO9I0vXevb(Hm31Wt{+g9n?}i*Q^J@}L)Fni~BYHE&55h(TZ+Ur$6o(ad@}D9~1zc1MArH-B1D5_!+4x&i zPf4iyrpdcEbx2&k_!RnBCLh>8pULDueVmwy_unZTz!U!`wj1ir6LWJY0r-#o1_v)q zEv>#s3NjP%J+on8K;%QvV86ZhWAHIX#r_KmM}fD`VCNsn1 z39!g*j1ho^{%5CX#Qt&`ZB1;$R^#K^qcG`{;nvs9KMZ%dsb1aNvC`^(dWmxo0IMk8 zYF(R_`+McvS$|%#FfVk6*pE zZ~_DfvJiqKSb*RjT!Kpo?k(h|`4p5O}Keb^R;6JlnmWQflxK{9UbaRZhJB zBow^Xaxi#7Z`4HMe^zb)*1!qrl&ZGHR?V(rt(Xq2TXHNYh`6?hW%GC_JWLr;1l)a| z!6>NOx22Sp_B2a6`e*sUE^>cE#UZevo5NzxopmruKEpHI89CpTx(CC{ALR+OMYUIH zJj1)F3~SL?fXCUjjT~Suzwril67*zQ!qha7Ck-o~ffahuw@7+F5EZyAH9-Cho%4+l z)~6s zfYh};#c8A>%A8DqlvASa(6417+iv|2%BNz^?EEE z;4M)RuCfdC+Xtqy@^O2%O_jl42soR79F1{2I4X|4Zw)%C$YzfAZ6=nhk~KvNT@d>K zoYDmm7L&p*cOw%e+YxdOGc)0(58J;!;*`~hqd0HKGJYY^l%r}q$o}GRa&X{_461Aw zs8%Tbe&g|Oj!s`ewWgw5zp_zg`)_(m%>dnFN$RZo*K_O*Myag$=P_-!VFku&AFhl{!EV(Oe%JVr1w2#9dum zP68uTE>125eZ^vCNST=}rSGTlXBu_VM$)#P{Oe4@<~cHL;}lbi_j?_+fJ#n&uAz!^I+>Ti!y_3oPDxLdPYag%HshFzyk77H&JF8U0 zVu(uykI=)Wik|Pr;353Mlal=m`hpxvLk=b4%1(Qk;#3gRo%K$w|A}w!u=<-49k9ja z;;;~X;lF__Z^o{8o+wc<88Z0iW5dc@12Fj?Ju{chYvNh`9vul`pRJUv8@i2ZSFV-( zxHk{Jc3c01)A#B|o&CGdYr!(@C!x1KY?vVZPyL>POfTVEZ++_p)lmgq&83iv43dM5 zoZ>5~HXiMXneow22SUDGx0!vBMFg7c0@yXxS~0>EIyE#&m~4>mjE6JvEz@WO-C`(R zafn#^!my_o>D>hum_%IWhn>2mVsdhF3SD9Zp77nNN*O#OdJXmziuQP$*<7q|t0S@u zl50)uJHH3-*+tFKZE{amyZxR(z+U9LIHi&&p2m7Qzt;ySEe);fe^sEt#Zf+hLXv7Y zr*)4T6|Rj#@jHnKNgsJ9B9oWRw09Kv8;;%z^MzTdzCHPcOT`Tm!!A@-=x&z}5>STe z^0WLkY%FRI(X0>LH*e9BZ7nZrar_r?k4ABahrV!^dRKem;bAoUFM*c=BXOJAb&_4N z&l)`FW|0i{Bt?fLqFa5rGDH^PvFDz3<=fk({g8S6bv{;?xW>3{mBgc(=SFq(DjXlc zyk62jAkTQI94nXI9{SG@pV$7-gK7m&HqEqq*Hn)(CiT?M737f*!3R$EX!_si!~bjP zvLENB&zuR+Nsfy5I(j=<}b2!4x;*4{dnw_@(inzX$t|3kF22u zkXhP6qO5B&C<8^O{@k!0{cA(xl&Z1H|D%FXBFk?J~_z`#%sUq3uFk$ z@QTV^tKtbm4=@TM(``sxckWZ|6q`zve5(suEF(3t$WI_r4}KxENGg85QSgIn z@GeIu4@6#B`AK{2UNY|A%CLic=!b2{fey{yWIAMXs7My<+6KqralShRi^Z+kOxTDZ zdjM0N8yDyInCm}ajSc5>Qn?&2YgXlscGNjs&3LXPjWAyUa}7P; z+?z6lest*UxKtP6vb zamEH3??fRXY%(Eea5#EC|9TOwah|Tv^&lX89(3mkd~3yM`TK|2hLgjbe?C}Ci*Z#7 zBd%H5m9(tptRaZm0d|3H0bUU=em>!Q9p+g228wK) z&R%eaz+?CAhHCVYB>Nt^V2kn>ak7ZE2At3H^%Qd!j&PJ^$9?CwGrtwoxSS2PYc|TJ z+<&}8m(1?sB3Gx_{&C+ixwpL{hZe-Yb35iUg~IeLjDy*+)1>&~oRW*;qW-l27bO?X zKIG>=1U)v*C9{0=fZ$+k1Rh&T!_A_%y@$yvTSD_~HpAhgXR0s1^cJQNW$^d5Oi7&m zt=h@1xiPhh7l|h-mce|+QZRWuPt>^ZJ{w}-&oX_07P58!CN$q^U9uf5n0MD*&Gn*I zIf=&Y@?K{?2&*ra&lTpD7UZ`JXD{NB3nQY!lslJifdMVQUz+w85GUq%jQW18F(Mm6zazj&0SFS*j+ws zYjSd;h3vRrLNJliE=nnR5dv-&@q!P!{UeCcXy~FClK^&#HU}0bq zrFbK~%Em^`&N3&@oZnFT>nfqH9TyWF8p8Ljxy0y}q7$*P%4uX}Rl1B?*-zPzuRyYR z+=7n1W|ttH=Nx)LP&l(K&*c;5f3ipa;-2hZC+O+xxGt;j9v9c7wYA&NYIsib)-4!F8k6&0hAa7$M{?k=c!;i0^jGIf_ zBnYKz@H@0_AT9CVJad{aS^A1RDfbeGj4(JeIlgR$+%arhK)+D+xq5Ev*@!HRFm4r; z))S>sz6q`!Dc-vs?!`x`QbkB^hx^R`XfFO?W|*yvRP^Iw-W_SZqhV}>D_+G-6!qJC zG<*#n$CU{sl@JO-o4p{VPu~z>^fhgH26nM?UCK5)sy{0?J7mx<9J;G~XA|u0G_#tT z=t_1Wl)nDSN=|q1TtNsV)Q|BqwR8x!Ovv&vvz8rnLxNGOIG95V6ZKH635WQ*#W}MR z>30ivp=d7aKVEi|d)7MgnPQcwlOF`=+X)aES*pA$lf=nBVdMS^&d#i#(6rm|l8(V0 z{`|buq(BZZk!v)^PtbpKWPz`~)Byt=C@|gd``YB_mK4uKo%$}$0!7ro-^_uyg%ot} zpUN^*FqZQfmGdc^RArSE2JpWrh#TH0ZLNV@lAwMp))c!r%>9f*lC?x@ zn@yR-bSzV9wrut#zQKZp+w?$jr+Be=nIzhhd#_ALzkyAJjB^o=pgera`y7SY*1dMZ zLql35MmC%>$FX^kE=07=-;x17>CYcP)ywR_V3o-i{^ga`;o`Im!hz?Wos`kURYtE!ul$x2JyV2XL`D#1c4&CPO$%3aNIJ?&)JZg6I0So}8xEDVAy;>e6@N zYU*L$7;0o$9>x46vsW`F%L0jh0!VTn3DjjnPIN!@?+0*bQIxqbWr@AKJxEHsbUa}q zZ%|z>iW{S&M~Xvni}B4926BHTRjkoob8@6e7=&*{jc zH)%b)(eFdcg*d*tpx)#hcPM8M$7{j*=r11f;YduSJzq_IYA<-b8O5#RS2MYlWBLQ> z*sxt)&Vh=a7PkF2ZR0Am#3m`+wo@HglT;3>Z)$3zjdV?QAzUerty@-jO%L7=?D=eYa|&c*8azn7`xD0+x(ybCN4o4%g?mo#1QJQTDN?&AsfO;VLM! z;@iUo(YiJY8WD;q)?eV$6o@Fr^{vAnsNXTGtIurjmaQ{u?MYGR>To7vT`3nMc20a= zY*8-uen>Z>Q{L|+?`mapxLIwbD7zAGA03vboNK+}(aZg;!<12wrUJ3f4t7lS{_byh zO_{HbzWU4>_EuOJ+8|b|QRav$k{=WECQneEd9X?Oo>ruPP47i!!vtMGOsUQ2BF7mZ@Nu?{@M0rTtAeagaTOl*(saw6By-#;xP}5S;+RRGvD*_LrrV z-n5G7XhVzy#EEGEv42d4>AJ%D>XIEhM;xPw6aw&ayBKv!#f`Pwr{yc}&%HVJ13i7p z)^1QPNG?PgXPqs&-%q&~!D$&QR`w~Olhh!lEfyrH`HEBaUtvlRo~WBO=WWlIa zRT)3|lurqwKffb1l-+A!jWB=mIhPRmpOyAl>k>+V%+hQ{J-N}$MTAKcPxNA>c+pP= zh2Rxzko8H28op>AzqwdW@YS@CUD>M&U8Fr+?ackc@Wzo#(OV^|-nZ5}qGu@@etEqb zg>peQ$1!*1Df%GZcvTvQx&J1^Kl9`WLyXTmp6Ac2Ulp^*-lnRKmp& zLEYx69i_{;XEi2Rv>8<)o}??f*<{N^b7k5T;XL(c{M65;{K11~gMEyVK$(foHHvFu z{%R)lKRt(`k?fV-FPZDH)Q8u;qWGL!nO~J19`={2a}wQHvtYO@C2X*%w9OE`K)9U% zcZjzuOx=apYf(0#52xP3ErL}UNX4p`w?v`pPdWLpSs7J>wU6F(|MEJwb}*IXaMsMD z(nN0T++X`u?FMMh){#!MuWBrF7KQd)@nnf{E=eqZ8>XJQ(#ldXu{FfI|6REM!My97 z>s^+UL;2{|*rqvp=RHOzh#2X`N1vyt8G6lE*_L_ad)TVU;It&lQLqcmi$_1@3^6%Y z;`2Iv>Z}kTTg)w<#}#8AU%*)UyZxue$N8&k`~NU;^LiM~i{q|vlcgdWr0O=H`_5eHyGd+yG^Occ((>~YGNy7FyDlXQk)+|EZ;bPyb3YPYoV#u1BM}S!9xQbAL;P+Cd-m4Z`X$9LPUytMyHzSH%>fs z;zp^m)*TADK5m09{Ybg5+V`lr3*094O&IH%%HuP{!52 zIdV3}-#TeGd^D8GFRW(43nP);P}14?^}@#uif6>HmYQzu4ed(>e&9w(%nop0&cJdy z>RF|%0;&EmGULN7#Wa9nBcafNC&x_+SOlRI^wOHSTCF)1%4Dl9y~T2GOTp~ko;v`a zoEv;sb#@PR!pB*))nr8qvF%bjp_YPapC&04x}4LXo35#1;&=ay~1qk15De*Y3qV`$11l{Pe5C(t#oLO5tRr)1kR!RTFO5cjgF0ab1 z6^>1Oe7^2wnd>kq8_J%G<(#fJrW!pqZOBF3+mz`43DvZ0up3dGYOvP^no-;L#W^`( z9v+~YAyOtQnr9F(omD?MZT;JE=Y!ATIFlB$?LhRuuIB{w55L4xDdKC=>nE%tC~$F9 zmP!(7U6#j64TXQ@KAFN|zVnU;litb3^brGnp(J3y|ad<8Fu43w!Cr_b9y$P(8H>>OG%V(2@ z7h3Gy;bnJYTzwDMwCHTw${&b^80l!cNn_tkRkW8E)_=_vp;zEa>chsVl8@T*nx6Zc zz@uO9ist0xbP2++Vq#c*z(qt5>&dFz~0W47*sjCV`3h@fYtrX#>-_$ z_raYkHS7kv_<_BN>{+@s_ETlXPnK6!$QHhbfe{sotBQ_m)*6Zk3(GTZG(dqeKDnZ zOM?axVaPAZ(&_bi=irV@BiV8auW4$uSYCaXuXTirR$OH*ad1)eAJuxwD@eHrlz6+z z2i7;CQ7fyej?k7SMk&PEJE=0_Tg_G%&lz8KT5)nGV?~n+-jSA0EeUFEq~HTiSgdJRfv^xsCbB=WN~udc08)6sQm_pu2IQl$Hyf1fi(9s?rsTn0BsA(`HT(XXe!KZI7s zUYLV}!#Q-VCW454c|-Vt_XQ12#^}~ig{9K&e1qnGnNLDY%+k>TtqiWSv-2vnpPf4y zv$W}&84wVdRBFZIK9?Jy^=sOXuX*J(>I8r~rYG5kxRC}KPP z8=04vcXKos%a)tW;Nu#B!0C|Kqgpxj`ZEW=`UR3JCh>c)@wsk7AX>l8&?F;?1MhAw zXn1+G*Eer#Kz!Ni#s&=?oy5K};tO70l4Nc>XSSE|vLsnYi&126W4?b6Zw-37QZXnb z=IY9+m@X7mR`#k+>|}a>zQMR=Hnleti>eDmIED>pN%a!PKP>p1DEOQXOFg#rH7>5) za*$F!=@mjoMn)2!TfrQBSg@sIOQ?5XK+@g4dd?VWY$M%&zq--$$V6O9>an~dF^}U< zd6g^6%R{(*Z-qs_sDS~c`~KYYDqil$h-xGSKOqJYTSwpbH)~La=jzNF6;|d2M?lKk z%w8KGEq4yMp`oE2BjZC&L zv(l*wOITm*@SiqaH+;v=&Q3@`SQzSe8nkB(^U-U)iCJLCx3;#NLsx22Qpg_*#uD?n z=FMdw_4ULt;E<6;xbMxt^K;YMzQ3_th4!%TOcaah=#WanD5C)1oNkX}0BXPS7X{=O z6?FhH;c!~+pcjVQKHT3OttA>RcZB0X0uGvPptIF>?PbR8X3>%R1l2q$A|L^s@3rgc z!6Masy;~eVc{4emD=MHQFE1~k)u`nMm(5U>jb>f@aqnY&dxu4#-Gx88U=DK(oBb|N z(jOufQ~BWA3GQ&I+KQt3k(y%QXZq-y3a>WNTI1k^p9NT53U%Pv*u1UlI%ZHU5{`!VxY0ePhz9 zv8SlEpZ@}A{6`VJ$VnPi;o=Eec&ydwvFJ;LLC6xr`+55hTd_LINomWoH1wlT~P^ z<@fL3Dd_|iQ+NU|FFn7%Ku`J6O2d_!pIo2()3sp6X!W zcV%v7Y1wY}I^)+bBw&8J*ZY$NC9%2bsHv$b?*>l21c7!-cJ;4Zyg#oY7V_cgvv`A! zfx+RjF0aLsK!0cVFxh<11=#Qvu)?4tC?G0M)Xz@{*t#{K`JkasfR^mKJX*<6<%0Es zjhl83n+cYrehXR#22&s^o;Q0nKyt+E#In34hJ4QeD8PVF3IoR-9f@WQhvnrla+v+aE_YgytZPTFEh=K+aNAa|Yd`FbQxamDsr*1QW?dB) z74=v|ww95RF$QS&V#8(w*PRIkt16x0Y&oLX^mKL)X}=plJsl(rGzX@&1wf$38yRya zO8_pGmY2sbZ9M)`rc>-3DtQq`8;pJY%l6T@C}8aH02`0b7*s#C-{cbmZzS6?8U_xzSI5a>89_JMz0`&4sjRRJc zWY9n=|H`P6u-ojx?bQh}hY8X%lqZprG+mJ-L4}&7eCdPz{St#|f=5T)RPDCh?MAPb zG@GvpcHQ~!4?~3?=@}j#PU5mjnB7@lUvIPJ7AqWo!Ocy`-gqb~vS0|@>lY`q?c(Y% zFonjTCM)3KPN2#k)oF-gF5cDEl_)ATA*&88x9!w(V4+yucc-W+J(mz-Q&U-kvD+*v z!Zixt^IB##`&|8IWM+15DjBxIudAzj)V?M?U+F}@(mry@#sSLn%&e@=Oo@mNpdCA> zD=a&K1`W|ECOp{~Bmw|{=w!VgPc~cC=WJXPv`G#P1mZ@$A7&l^g_{j*bq{ z(sX}qgCGK6Wc!NS&Beh%b%|2CkO`QA0dt56V0QaiGc&WWjWq88yZO!GtWIESg0V$G z$zm0NS|0)D#tAYqGGf3~l}#dcCZE&DmTQ|yIZw^UOL(Y+sOYD%*}VZbP}P_aAR`=6 zR1Sv)f#G~L1{KiR9Vg(xu{UZ+jr|ooY03hn)D}PzJ0^5Sp&+F$KhlgAYT_3vwVLH4$9MQ zaGyd%Q8)M|yWQ;6CJ##3DdT#Af$W>!-(I0Yp=Rr$RaIPIf7Yw*0VI)@l|@vZ zuXhC_uUG5XdUYF1Bc-gTw>#IR+1lFbxm(_SxZr(Y3>XgF^eL2rZ*|fJ7iXR|ehvX! z<&I6SHsH~KCpO>Go$t+tUM%`kfu9CV+kTeJYP~sVh5=Yb`3TKGfpYH}-<6dWY8l-7 zBbdJta2r4`KDQbj@+J@&`rw#$MZUAPX8!z)UOOe<*p zXn_Bq#iGJ^$=~GY;4i(kG2_W+76RV$&Ka(sngj9v#qzgQkeb1%RHO9<4GX1VVO$-CbQe8Qh5y{fNUu$7kd` z*kYkj2@{hSz{`eD9$;c%w6}#|!~*CFxXkBjEm5o4@6kftdFcaXLWky5`25+UDjtsj jgo5LL^DO?qFR%TxT-Fo3#6CkI;E<6}6fY4q`t&~lmDEUG literal 46332 zcmcG$1z45cwl=(IB&53}q?D9yc|kx*VoA4jHcS(atH;YiZJHEMm z_x`T^o&WsbKIi<`?*-Rd59?Voo;l_i_kE8s4Sl5~gN;Fs0f9iUoA@yF!W6;+T|IGyN`*XB$1axVS^^ZyVcs zA}J_DpMu^IlLW@z|6H61Uw<;i<4GzdRn_&aCp07^L>8Zb2@H=;P9Y6kg)neA!mnbx zy8b_Y7+XAsq#1_Q+13}wbZk(jQ~NL_pV#5f)B{4*kkUln;@{tNGL3>Eg~mL;*8Q%JLTeHbAOp8a55an!#)Y26~7uDXTHkPr(uE=TQudAmjo zbMsrkB~?zbn20R0+x)DD2uy^EfJvKENjGFQ)7Oo#Rmh3@fu4k*52BtgN@7O%b2IM9 zUHp)cFRwv=iv*I(*CRN~YT{xc9y~`RhR~W{iWe zrTM`9yTggPH}y1OIawur0mTixH#59?qv|O4r#FzhBeZLyByX|M5DPnpoxg3iE+Fv2kG@VO}_<15izHu+Vs5FCQFs3!(b`Rvr-7GG69c-4hlKMHp zg2=XAHaZ42nGVwnlwhsrI7UwsYFY$2ArOz%##@h}1OZ=IEPIpHI5)EQo>r?LEix+O zs>jJX=Ea_xxq}5WBBbtfBay*Pr(RuMqwDP4{aKVgI)eAb{a*JiM@FZVNMuAE`}}F+oTHo?*13oy#(>7z^5Ac^ z5LVxtk#h9A!vYz{RY@%O+dV!HJ!kRpk3X?*MzW7D&eRGH2m20h&h=PFS6@ShK3GV~ zFk3F8abUrJ+wxfJjBSPOrhk5L9Y`6SS^Y4T*O6C5nj&k&&4&A(6nA`3H95a+CRBi0 zSTNLwggZ$V<7Q`(fHbl-E&8xQy=fo1eP~`*k4~L9KR7ld>@~LPx}w~2jYuu%iNJq< zPu*+oXOC8@Ik$2l==5VaI{`VQds|BCn1Y}{@MJuo^WwnAD`pg1_s2q*pU>2~=J-qm ztT%eoiB)1YgHe8d2L$&BZNgoj9~OIV$=%mL?IAP|b!qG&NLqX!~UR^P96X z>ZbKDsD*XW-C^rhEW7u)kH*UFk}vfwiLu8(t5_(%-G2LAnRcY9tFF@<5DTgVxExcE z$U3{kZ+A?+Pse;AZP=*^FnRl>50jP&b&IF{)tU=45#qOdm>wHH1?(>S2`-N2I67XK zM9X*2^6_Ko$)qZ`3zzM5+cz6OxyhI{pJmrsh|2U^L-pRcr|LM*plDM*!&zav4j$ct z;yGY`9g4_hv87AqvTor3-cCD7V5q`eITE(->x6!d_BC*&#(HX%zfuy;i#(ZK?&%!#DS&cT4`XHz&)SjH{k<3dJKIP6u?p z8EHM^bE#eqQXD9+=6?lMoY)#>Y}%Z4^%$w%e(CFWbK!V12V)wWTnP4mW_~bhD|&#E zXu^}y1NPIqkq^Vf9DHuohPM@FX+m!i@6YO>m{rYOfB z+oR7O8gs|Dzrhf2_r`)89Q%m}L8*}Hz7!LYxK3zrSdEF zI%;F9D&O)3q9Z99H*fCpE35fKM&>K1GOyB0E`E=r9S#)?)6#j9l19^-Ld<&!1cWo% zIHDsIuD$Ly2gxAjM+ROzLT-i z{85LEQ1Vec7guusBR!tuJWAn*nV23%J3NzaAI8QvI*ZO2zuFv|KpScFO7yEPbPv9? z6{;0L)N7HV8_z>R(o9z09Pbt=nQ#|&@}O|%zcadyyB3P)!VTL-?{*C&uuP+hHsa=W zT~Q-i#xW=-r+K@}_|*PXh+Iad63yUkuj$2M%k!J#5&fRzLxH=~a)OJgUL^&uMpHKG zCSPm*#c$1M8YSDzNn@7hjpP+N_AL(9tn9y!Oq_#*)}MGeuFPBB?5+EJ=i%rrk72%& z$w6mw=~5-@8b>w$jm2p4KsQODlMvCj43p)ra(x;^SqjD%xt0+x#^d+ZYw>5klp-;w zBYc&D$i4xl5G&whRA-!)4`EgKf@@(fhR`~KlvpI8MpVa3#IESC1I;daSH%2^aJ%); zgR($I^1!2MbezRzhfKoR8B-nQ6`_PbQR?+Q1cLGoH>BHm(w#7?Iu9kxSb9xg=S(As z1vzJonGnUIuSc5;qiQEf9qOOY{EBGpUi=X!S*V2C*QL3!MN}wTS~=UbDlsAf0l_85 z+}xbJy#`N9Xy^mx%jv>QrE_~}bOIQR;F8Ow%3VUGfLf<~)d0H3&#~f{55wzk=~iX?m?7nSQnu8KT=A1O>SQdvsuXukDfl<5l?NUfe`KICLB(9Hol0q|3>fM(t=#`*5B5ro|)~sH=xqI_aL`< z@?x2t^fK&>S1!(cpgWO7lg3a!!5ahnl=2{rJsfdS2M zhG?V3oyq|h8)f*RgLlY*e5#u+NS&3VO(pm@izYzV~-uq#7UnCJnbzju|$z8yZ*Q>J3GK~}xp=4e?YOwn_1P|Za3?7h zRr-1i{F|uYn`(i$Ib#7ywg3U%UGMj%F5PV0od5XEb9YsCPrh`!=Z=T*;hXIopZ8g1 zW_Kk2B05CC`-0PLXWBne-}3>9fw!XxD!}~eOiizaDlHPW%$(+IYga;rxEE;P7mHoCFhT}0oL!eB6LYC*t6d=9h) zD<8)QoSvV<7QObn&s*<(nzo>29YNR>2V>E`gj0I%RD1QC)R4AN0w#y66HD*=>!se> zmQ%Ky>(+bW48Oa#H+TE@z5z1IfLNY;lzghRuu986?!e@bK=)TnrX?wET>BKII)o6n{1+3AIi5e zYh5PI828-IPn^$Y8bIL7^+W`S_2k#WIZePI$^EBZ3Wl3$=<$$uAHsSOH2p3!uje-p zwlrGFsi>$ln>~3KFNfV%;m=k4{#e`uG!NFXo5Sx?-e#$V%HE@s0?ehf>F8xuRn;=4 z!3Cnic-L<2Qk2A_cbT_4=GeY2fEZT8s-1{Kq*pasui_!Ejy5NC?1?1NW0VTInZz&U z%H4LgSKJz<-Q8>J))REP?ryJ-TVeC{&a3Wz=kC(-^5L50#veRJycX$udV0uD;5^uj z1lW)c&$B=5+}T#HiXKklQ?UQRlG%QB$)WqpG9Z@n0fU3~Y_IQFTC9HRdvh@5cRQt7 zYe#kCD?V9f5Pg5_cZZ`e{;A=1ZH?i5`y)msrcIB}V91yxWr>vq**~=$3nyb-ZazP&WPQ}MoOv~^-l56^{Xx~AxbnybxHd}4& zxZixfTECfLz4i@0?0&0Xstc}Ddcg)at0b4DxnO5>!lK2a_?uR+O<`(bBWE(-a@0}X1e?2+fVQTW0oa4 z7i42|?l-CSng3*H^l+~dIqyx8n@xPs$H3SU}>?ULGrt^!q-&#HwtQ!%p0z)geA ziH?kTN+|@~U{g1|V~f?FQ&YjMSH-OzU@I4HFoi z1$mSHa7NIiKsU_si`5D)k7Asij06~ux-xc&W5eY}>S6MTH)^p)SlAoh`uHes@>6RFjlo5s^882kw&~&_zUP1H5 zI&%a&-~!6`Y|&mB$Mf9VUo@eT{K)eu@3HmRF50ju9EN&KBdMu}5ZEVxZXoz=^MYB- z_a1?gIxK5uTT-K#WJsUnA&%lI?3|`81C|>}O*e$_M=64GEBZIm?8@-OKX-3K%hU-d zVm+wmbwO(i$;X<%wGdZuZg;!M#`q&AL4PkBBHz-hRPn#fV*YTd@P~d!-o-FKeE5Q# zM>6Hfp9vN5P%Hn%k1V2nIq*e8EjtwvcIc8W^TIh2E>Nk&3#EuSSY!NnarxJ8wV(&J zMOnF)8?a6bBO|zsrJh&Pj9~N2s$EJ~=CIFH5-`uuSeJ1Jj6lAn`OF1x#U1&QCrP`p4o1m0B)(v*#EP@~;U)R1UNNC7u#Xg;p8 z>9_gX-xv5bA4b@nEtX}yO$#E~A|am_BC2sbOk3=U>I zJiNv+9620&ffEC61;)Z-t)RBNCv%ObXgW%D(7rjDRfOSfhrNKnk;8)IE7nrm>>Ju zwceh+co-f+NgiDQhDu#>qZ9rwrX$58Os-9Nw^KRN!5MKg#nF6%uYcY!wE_aBJd%vG zl#(mY+vQ2Z&)5WF&?lE~`#D!$6S?rbCFc~P%bDfnanx?{e%n6fcYp2|jZML~97JKq zOp*CA@8iq7BLf+_v^}O2<(f0pZ`s8tVA^9;uP_s~191UMu-UWho?Mhbl98*rIP?^B z-%yNH6H4!KZ#kxFI&a=*D~$X;)9l6nzTNOn*}%XcT}Do7Tm_0kQ)h&v-9#Ql&%)q> zl+OZ86iY@Gm@9mrPLG6IM8Vr4r0r^&UOZ~v_rbCEyPk907$iG6J4=XUNql~OdP+0?Zzyq4_m8^xse$@u_V@);t#_vf9wHtG?Pz)S1ff#6Sg4nh zk5Yn(2T(#1qPpkdH_klc5DLx|^C1_%zZ^O2q`CVx_7`oAR!$K{O&JCs&}>zmB6V^L zv1U_64lG!I1SQ+gdrq;K z`MfiZUGwSdI^APq#0c;i?ms@ex*YL~dS*Vn45ntE8!Ra$C67x{tIA6*)_t7XdYPKU zbov{J7s%y~PoTLgf8t@}C+m43yeWCH@0;YccE7BQV6PF|;O;I#0NyAkP>^#T@58q# z7+yKpz=!In^kampg;;#&RTV@CL>3;AV8f4j!@XdgrwXPG88Be_pARk zN&NrcUHgAmoB#U){(ob%pM#i`0Osu!Ub<9radXQlEPMcPDGR`WmoIR_L8Si@SRCUn z#>M4tUDixo=6hOvIQkb(c5yN0?d`3Fwe|nT0~V_%Gb6slAPU!QW_TSf=`_08c3-Ho zeo$wPzZb#}9b7*Etr0Wmb8IU8mAK`51EYb3Jt=L|Sv(?kadkBUfb8OGs#TxM_k3>w z9W~%m95m%h$p+T1qYZ>|km$%!ao;<>gh1Tq9nlt#5^9%|%`@7A#czymwp;I>ECQ^Z z*p)btb$xa9HwD__vjY}#83Fdj_-I!j>~I<0VTLFe-F2n-^)r#{ol1|RJ|^@31P8EB zoSvK*4kWOlEX_5&eKwpXIGzO}D8OKoqg}rN80`iq7qjIY;9ZlU6kcp{_-87n06U2t z#Y8U`7G!kjxi5SGvLXzQHxH}Je6VYme7)#{rQz}H^x-=I~y@^yn2{9QzIz`tjl?MpqBC%cmm&Kr#CRP-yDG){&}u1-JhHS^lJ+Togi= z(>=_C0^&0#wQ_E5UjPWNUy6Q!tVj$JJXmjx{+k$4)RhOEs9?pv#}jx^xOI@3UOsJ#`&W6QH;s}Zb(%d0zkoo_7BHS z;7BD&ILY;Z7U)0IqZ98-n*C8DKZd0JeUm!09nEg~9dTLEiY&&1g?E-1z;k!T5CShQ z=Fo|H=1iw;2=^yLG1h$SoqDx4y&D;?yVS@cq|^Ygn4TXG12AJ)Oi2n8m%^ z{W+<9E)gGM1-|9M9203L1Gjw)8+kuKWxc8f(3v`jDDcp(+uY*Z&Nk;r9BFX}C*Ewb z;ipgQx<$fYRFMM1$w9H?%0ST&3EyzGeg#Dls}0(FM>6&a4)``Js8oFAm40}pGX50yUF!ASZ58`>_G--NmIQ|-YUp+niUMHf`LMj}44i9(i zeNEEv`+=bxpPM@*fX7BB*Mcwj?j#e;|t;^6mU zO8M_}Olg>kumMC4263Q@VQBMsmw5c2Jtw4n7){psClm|$f)0N`az^HMf3LhY_jGb< zh*dWjV*-}j24jvkd^V2*((6OvxvLP1K12AeP_O}&eYVtI5#}u`ySuy72TMtXlL|W% zsFaY4!Kz%hUt?iouisM&IAo3eMVBLO#g$<%BXv4)Ag08g7+$F$rOsb}yzAtX)-f|Y zpX#N(38i78OUWe95TFuv!)k7BKJaX=+bSw{0A$7JyAbHS|8%`)uo6{8si0EAzYECZ(qC;hoYAC@(LsIBay^f5AyQ zc>jBQyZAUH)S~>m>qd*wxDx=RZ+=LHV*t)%u1|GD5#IgHs1x<3+u#OeuMQR!oB6jx z^st}>$X79M+mxA5lJk46x7FA|o>1e)h8djw0%76FwR71NX4#a^rV4O7Y)^r&Ne|jD zs+7-Dh3gfbo}T2Qg#V<6Vpn6)t79@W-5}?BcrvaGI|m>NFH{Q7$^MlL85%+J|_FuWN|{s<#@g0 z%KsVFKEIt11fGf*b(~OyAvxhsep@~M|4xI((pFVL&Qxyh-$Ppqr9TO3mV6cmK&wLX zxqm&pSpI+PmS9V#ZDKZkxI2>VZ*NBjg06-Ak%S7yb~2&#bDcN}z={Ci<*^8qa*l?_ zaXGSoBH6so;=)ly|3i<4VS4%^8aU}<$jj|Rs?C37n`G*j!L3jSMWIs65Q>g?>MR*dR7J?by5toGYpRTd$QP9qE%6!fF^G&T3xR z%3eBChXtsQ=u$6>4F>2GSTlf?3CLhbrr+9W;yb54tpCl0h99R({P>Xjxa~O(&|K`a=T}sZYSWd=J9D`$E~m9>N?PN)Urhaib#W zt%s}f5Eumo-$kwyXs+8BVIM7(AGn^GzsHDzw+=iTYpnG_?SDXmP6LN&q2q#iqy<6jYQ*em@TZGasj;x2#A5lu|L6y0CvdZ@>g4K zyr1=%6|0LHkPu3bzyEo*U|fJ9{-<$L@K1~l{TJTNmGdvWdt`&bim*3yyteh$R@ZB{ z8ZLDF9xp(E7+iFa9OTm6T1=wKNL79MQuH2Y{u=_DJ~oJ(_zei-gtEU-0R^h^;DvL} zolU8q5>faCjr%PWe_-7~5dR}WjCM{eh=h&~Ma#hlj=_x!fcQWCn+S`YAF_IB_&}$| zrX7yE_**ZBENpGNTYRp+`QCaqo&1omJM5w064K5TqX%LUki1qLNc|xNrJ)vk6UDjw z!olM<{dycSy-cGsi<58*jRGVI6pu8z?Xq6BOl?a)B`$vZ3M7$LM1?(zi{9@RzpuO! z4lT-L%{Goo*aDhRaI@EWg7V-55ItL3inBHLX$WiLM$i~I&NFL5Tw8u(0UQxDj`DMJGXS__EonYA1=-v2K!wE zLvKqhc*5M9U{r979i{AdH9p>x|4;1SzNY`!=@mp^gJLTvfeX-~jT=Ah-g8K*!w zv*-JF^q}Bi$Fm)+n=zVOm5J8PvpM@-xG>msR$Z3P<@PUlT`5RON}b5zJY0NpTV zN1?Yz3{h0Vs1VH>8?uIm22ha|Mb!xsa-aQ1;QBU+z6SybZ3$ub)4gIr4gzWS&SyI_ zMZKUIwts2H6KJLZqF!g8yzhS(WcGM19#a=C!H4Ai>o1xPIPt#l7Au?s(mpbx|9f#M zDd$M4X3Ojq_*7n|>3bha!)^5OQtQ=L@xWfqlg-P`%w8}t_SPGxI$d_~BXadC_af2n zlB7iahFfmsqgW{KseUVNntzwYCygfC?MdGB9)U z230l>mhN_!UZ|-N01B|^{oaHW^==vG4pOd(g(G_MF}Ho*0~T2aOgAsu)(H5g`uJ@< zLLjm%uKCNT#qcR8bh%b}R6l-;j4tdsF8QfZU!OF!ts?4=KXc}Ro#5Ob;MCn+Z95)z zlfa;5o%n8l~^}0;u>6|_ZAV`3u%wEHG=?o<%-Vi--OvWro4@8mv zg0MsVb0CO7v5Oi0ynJ4lps=6wav-6eUL#?(;_;X&L%P83QY+0|jcq_t(R8cdeO0-L z&*GdH$UzDqquMc5B@x7qXcU_uw922awXqzj1c@4uCBYw|<9UhtVJj;}fM>4! zkmrDFOScLT>s~6I2e?r47GlaxWfB(ZFx8V|=_r{}T$L!7RhOeRxu*s#BKP;97H)%6 z4au)0gGWke?J(Y8At+YkKc(i`97Iiq!Hwedew7?x^PqK4&2 zOu2e*sb#)5BGs%kQ=Ac(VqntXclKa@4|Ft;o96M-yKG1XfQ5puCW;X!MU=b&QS4%# zT*2t^t9;yp`jUNqud2t6gXo~uoU|h0;Kl{JdB6KxXD;HL$9Z*jJ#e9I@~M)0TewAk z+d}ji|5thUy`&iRo~{%n@ktjRkOMzm;!XGc%)JpSXcqWqV!8AhcJ=GTA_r|ql_G>W z-OtZFVy(8!tm`Se(^CPy}e?MrOF^j}JW(Ur^R_(`2I2IZa0y!g?Yv z8e6Z0cV;Tl5)FI>Q&LkgeecZu&de*h1#&**r+DURZ<%dDNuc{CFE*^3NnR~&8jFeJ zRDFZ`y+$W;c3JChaNTCTmy~V?sV6J)Pfx)L9fvlLL@$-BV-^xL_!E~Ee;yeDJ8toQ zcN6H2?VIePsa)9n&H8CFwInIHXj+;X{^3Yuv?I1rKZAx!M#J1I zH@GrOFvYQAzi41xuUj5lN?xv1-;yrlMGr1I(}{PYZFIgQ|6r_`czr{1=U;Kaoub?a zIk`Rqpa*lyjC?{_78)_9unpVNsGt5dM53SeRN^&0dsIR5+$3 z8*R;g`1VoCJ>`(V?a35*~ANiwXCO`!~b;hQR$^ETf5k?+Q&w3$1%NPWTG?IFo0c`4tdt71Rvr^k<(Q z{X_UJY#{Rzr_I#XCgG*IdLSq`Zc8gt>bZO@!E-ODUGxkKNki9By6>C=_|P}p$th^k zRijnBjU{WcAr(Hpz>1-^L+c~10~15@-z)`zwD|g~LGu1>VA@%J%6@dQ{)GtckRJ&B zzNmhQH34b?&0#(UMrOT8^mXsKwR>nW5|Mqo8XZ)5Y zC-W6=+T^dn^Ij;&-}9AseFvqytIWK`(lGGhh5V6VW-879xGDfGWW@GBzD9R9mmy^n zPX6=wLww9TITZ*jI|uiRj_cJeio)2M+qIHezPQ`xS^ZSaeU?e1AqrorCCbN2aB-Qv zafcfs0Wy#f!^@*}%@%J#eb3){-jq6oqpC5fEEgBIXq?G|S8Yj@CqHDI!;hzqUBr;s2~kqzQ^XYY+;#JOh{+Zd`Xq5sJ1-mmC<*Wf0S^N zPagFdo{+eAoO@z+>w(WmCKX?fu(9LV1kw(9X~Tp+k2}N@&rLJmQbaKfxV_5UC8wfR zmXtaL)wC7~&^fJ!43ay~`6*tC#1$%ylAc7G-@S&+2nZ4gqg(DU@Ry9!XA4EPJ`z&u zn7!$ppQi>h4oPu)34NtH$lB| zxGMAxg;8Ig7u6q-aNI&0*Ip0!Ol)&O!~g!MC-lqnH|#f_$(XHikNFGEp=G^mfz7AS z1w}FfLpDGKY>pOVW8lVG$G%J7kgoyVoQ@TDA$<(rqrjwU1{1zmvYE~3-ndU1L-_1? z&}eyA_4lHVX~kv_*xXlYJ*f*Hi$+U2Qo%Pl`;Ag!htoN>v$Nz} zgxtWZbIc`+SBJ7 zQA{&H8uDNbh_S!`k~J7rqVALTo_nJV+Wi7Bskb|!Fx^9ZZM*#L|A6<*pZ|EZTmMEW znukl#zc(r}XQr6e1Rdlzf-Hvwc;E8W@t{OgQFPPj)wXP`_4R34D`mFM-?E*;On3ULgpT~&VIvhqa6j1 zF%bb)fxHolymxn|K=;m`n{&?Of`@$bqlSz|vd{#fVF5hISyv&{?t!g9tQ2#0=Qq8& z;10Q}%Y}o6pJ9!CMJ(UlD+m)P447kH2xQa8C$m00Z%{|R+0$BRFtClO7=J9wbY4w5 zadd;H;tDtpq~&nZ%Gw^HUmMo$fd9^wPbbO4Yc_g+;Cx>|Z_Ezy0fSZkprf2_h)O1%L}3;VZg_*{yDExdl1cG&j^F3bY@& zkQHbF0vaVaF?pI&S|3!Bpj~gJgZYiU3|HqF?gU!m7W0VQ?x68&#f7o@SCov9=pqS! z;~_p%>kvW+B4Pur13Tf!5~KUdc>_-xwLAz(Hm)+{@9$>Br%H+^0?y3b`$~n35b4K$ zR&`Htk4TqPJ54-&KIv%?UOx5&^e`mKsHAR4+jKYydtVFm-Ik;8j+A5>ff;xXjfC)$ zS@C*DlNn?uQyl_zNIpcj$aqL#Cg@EP;!8eubC8{WYWpaoUjhQkuEVSz>&h)iyyPEU za~-;>w-bW~Eaf636`9JD_k1NZ7ppd@H+ZR^S zi()@=sN%im<;6uUugn`RkEEPQ3CiZ0FK%==*y_tt-A|T>GbyD6O81ZlPf8Y}6vRdvp$N=4mLy4dah*C!N>Ljj zA_=3~^zGK!~x!-V~EAjE*w7D+-0 znZp2AV5xx=eDK$EZ?K*A zC$kDMT*g^{5_epc*=hGBEalRE8nyOR5IkjVDbb#UWwSDDcDy7DcxaEB;9(SBsOYxV3y{2wTmgbU#-v1mVw|L}|jW$39+c#2j{g1uRC@tEbA zHm{H*gshWw(dNj);>_wXuTXMCD0u2PorDK8JSg4SO>1JbV$m<_-9XN%@2M(u!`3Tm1Z6mwEq8Z@`se-@?fR$g=$Ti%z^Kpx@2LND_`dL0bwH#rvlP zWe=Dl^}`89=AD22hdfQ(fEy2odV@Z(-}kJop;U6FPR@hdeLor?0+e~LKN;xRS!||o zUwms0l2^yld+!rlznO7-ALq??@f6SW+s?b_r@s{t5(%v`>c}kw2R(@VoJ=k;w>?B6 zHTxwbN7`^-R}Rcyt4Z>I98Nm$!bsIhuzgp!MsAoQ`@1g|HL3pLdMU<~85AMHM)&aI z=)apGyZVGZ~m}E7RN>%W8nsl1dO_CZD(c zIC0Br>Y(d)n?I7r`V)gt00zM*v0ECH0ktDGdI4G&IVo3mgn_t*I1Lb&sj_cKp( z=gOW42duq8GvMvs#O$MME%-JHRyo?~XgT(F0yTAc3sICfuSwp$|` zAwTZndYgLoIe-`#FM|Rl7)>9=@O=Y^2vq44M&iTD8efi$RDv-Qo{#h|@SRuNC0*WW ztHC?843s z!>aq&I}!*wSNMnL|B~Ue)_e>K1RRa4Q`!lf`yxNbHg~sGlE3 z`%&^QxDZ@jU2zHuh5`Gn@a*Uh#lHDg}BcAZ8&xuo4{-2)BZ2E zf#0fesxHza6Ps&yI_$%~kM>fc7(Z7$lVyj3lSs=qZyHwp>)>J5uF)*r1$%Pw8SOT% z?%aiw)R}U_ugfQ-1_d-M3w&a=?~h}C914oA@lT0AF-dv_RXK1MQM>=@>8Kr|kMmTY zNlPKadJ5DF+*}@eOf@ck$j+uk4tTyZU5+c0{rDiZ!GoG2LkXzChX%>yi(%E&{cM?%a%ATk_>SQRyDAl6> zvhQB`%sNIfL#igEdH#Y<8W#SECUcw^q5e(_s1u{l7FF`w*-2(D^$~ch zaO}!r(^9Nq?xTHCS6mA6Y!>ZFDKSac!z&Z)yz31%Os+^p@4Yu29?#hb7gB(Hu@NsL z;0)*&dZgj;t$qlPmfhpiV}NLoby-JPgFCpn>Y5^+#6J-gO2EdfWX@2uo3FcjyVhW1 zUXk8;oO)Q9-t;Vp`FDk$a=pIBc;D&w3h@^Oy#+soUJnZhc9IFF;5{oyfrFcZS+Y>i zp(J$LSEXJmc8z}YI8)vr=-^xC8g6E$BLd%o@es|ftG#B&TTgg+ddx)=rY_8=RP|-T zY1xLCW?k~@$ZhZ3yJ6r9qi_3-4jYL;x-eAe%o*J1Cj(m5DY zt)^j4&Hj?1JW7$>4xS=G{-MZ9(Y+2iY-e7*iFV}tl${r(n zl+?^rCt}8}f$6Xof-@@rAS^MWRWsxtb0A@;zsLyWnjIVQLy0km1^yV6K*fWAIJ!!67W|y z+e*SKlb1HHthI?nRnJVCZ^}h;zgv6M;Yg*QXe?SYAH#_8aTpyrbsj~g17xiYpQgO< zibKl|e7Nv^7YCUK`aE?hvfQG9q1;(}E!|JN%z+VWX+PAe*H5Mzrb@-e{QstrsMQcN zPbt=S7aIx0N=ot@rgUhVg?;XKQ(K&02vhHQXQZ4`;UqkwN`{o$s3X6(ZNhKcbM%@+ zUE1GLyYZL8_{*GxT2FbQR2{jL&~^vJ!z$Mvy}g3NDt~a1Z<)YgskD`&%T5F*Tq#A5 z()%8ZPmcT`Lr{b|Tt`wYJ1I6lUP~CEdq9N&Ni15sXNJ%{Xnu1!2o7ca3ssUFA)WMd z9S_WBJ@DcQ#Q(r+9QkSppJB|qldNFY5l}%are|amZfarzgwG|*ykBuZKq(MfFx|A4 zOV$BgXNxY=3Ff#x5}@l-a9fqi>fY_3F{mwFYvFUR?ZAC!7vdeKaQ!CS4xJPcMNXTo zIeyXo78L@=zrAlHgJYV@0Br>mpuIm%n?Fi6(zcG0R8T}^nF&A)PaH|B;rwNBlr>Y_ zUc!HWy=*us{UcD0hvtoph&1LZTZvv@ZQ>-zrc=_QO!DWEM6E1}(r2>wB zL_Cih24j}(uMP9|(Rt45_+DHkFe$RxNy*fU59kXTFI?i@H(g^W&;6y}kD^a{% zAPpjFt>zyc{mW{`Jd7C4OsN{A$uT7l-A>hezD*!mqF)s#lfG$W!BJ%R+@nTm{x`dh zku6%YWidgdk0EpucOeyTxNY$6;3JnebuU(&pqe&MBkWFDAdgg}iZ?C`C&yy?_(Kt$ zHj5df$&P3szc3uJe<&&95A`!wU^KQ&s*#~Tx;OEf$4&Z{?q_aqgsb%Hv8xV3t5**( z>Px$7&g(bKTZ67-&I=M%czQoWHxSL!{&>Ma-DX7*Q#OCgqS)3fMpq=31&O#R=(U?G z6LvI&Qh=lp}KR3fZ!>pJt9mk+U}c> z#t!^3iLZV45Sg0=Nlp|brHXBgRd*x$q;$~&p_uU$sXm45{MS5qndF&18_czFoEl7- zqu5>JFJ_W+b!k0i;wT6lo8J_cHWzx+dhR(2YKavy&J?+mxaQQ;O+zZpK&*QHWy8*pqjrvyXd9ZTh;_&huUV#EiSF@Z8I@TRj2znMJp^dpb5!` zO{G6|t>HEAWkTjb!3{gLgbwjt@E8rPRr6|i3?H*$^^d%siR>K*Nel*;CtPmUYK{2V zYKGj&&wB!5yXrDzwg!I^*wi$9AsBkB1e{ajmPI@BbgBM9Ku+e=a>c~1!^pRvtFMW4 zYZ{uDz0goQR9ly*r)E~A+sq$Ru`Ecjn$X#5-YfooO-y`HKQ^;Ew6wAO3b{~0CFu1@ zof;VdS}+EMi_q`E=D*Vbw2+0W1WHAtTMhn_P2pu{BdyBXWnU*YtSsi449yNJ(=29C zd9!97wKIET$58R%*PczBqICJ)_G=>2d68#M(Y)t1vv0hDqm>`y7&sR=cpi@4eb@PtAHPOG{!q05chV>` z46%+UZ%4Jj5(6ASH4*~a*5zaA>)SU92#=?32-I9vlDXNiAixR=F;tnoH4)Y9PuQU> zvJvS|GX+ba{in#+@Z1MDYf;jNU6xO0nuOkcS|QpVvO&M0SPhFHn9#E;TpKkcO)1Li zGZ|u_B9BnlWu2L&csEr-7d!arHa+GIs(!7|lgx`UP>ckpwRKiLXtSvc7N_-Ni#t8g zZQ+B#28X*|-_#~agb2~Cc z3AIn}bM>5@x))d$o+gdS{Wg34KK6L|F5BB=_$3hLarS6fFET8{ZX(DyC7CS&F+IX*z4?quYvixW7WMS#@5P4h-5E+ITT}r9cSHi>D9Q$`n)hV zq!WWpnyP6!3c?P-+JxB$9EHlUBb?Mt#8L%$_B_=pa`ybJRJ}qyTuLU zF&cyfNZYg9IgKrm%B!kBo4hf9`E}pa!Gcp)Rph2^(OEW8IDL}Q7G31q`TW;N-l^-~ z@N@7!P>0!Y*c7!m%c=0LW4#-))!BP{jF@|*M_w-SM#AqqJL3-O)zy5OtQR?7`1*T_vV&)#zY?(gPOqbv71;eDzrQS zyX3Lhc0Hgf>fJ?uRWP|JMg2^U)XuZgCy_c<6rr|0!6g;}(zHfyIiX~zLc5!1x0^q& zg8!==hXfReuj3o3t@DANp_*}+ll_acI$h!S5wsus_e2JgCjHccBzl-_Wk9j>Ur_b0 zR@Rc0GD9Sxjp|u5CO!txiT-Co7|TDtHZUey5rs7J=om1jmK3igh=RHHe%ijXrswe15>iCiiMA7} zKT%r74kkHJer`o%NK&f_ z$tO2&aVf0|{lfCDT$6n6b%MB4-t2m%)d&YeN}sNKX{O>+$0G2*yA&16{-}{M5jS8s zcdZwIq&Darjr!-x`{9W}y#9>Kcx*e=U3w>_Hx zFoL`;QOaweZhL8`%bI_7L!w4l_p^iHR~JgXRuut>@pSyIb#*oWJGN$o9UAn%Q&Syj zLQdUzEYqqhgY}qkdA$>BAv+^aVnkJ$f~#Nh=n&7gj|`?-fwWT56KR#BdexS1g4Z%@ zCa)@>-a66q6)`qx5mr|Ug)=5<`MHHJ+do{k8jxo=28XjC-(BaeyuWs=_*qroNEGyq zI&R98Xw{2{NIwyyY@jHQ8yQ0=3MXi7c(<~5y=Mv(%`D|+3orj=pNg}9KyyQly{ni} z0h{yV3p{>SB?hWqI_@fI3%OKWi{6%u6EY2{Q$)hK5gB-FdOo(`7{5#B;HH8bT$fL< zDG=9G-_h-BUy*B4s^D#NIisZMPV{rd0$dwp0Yup0C7E@%6D0AsgqJ|=CVe(YO%~J^ za2@P0VEP0BvMG5;RxtG8+v-l*Q(h|SjKF-&KD{1f_3kZ2Q=(iQx%7Ny0XQ(LcWe;S z77-H_Z;|Le6m@YBxc720UtVWXGhYW+q=}`L9Q8ic#IsM^byuBN1|>x=v^ZHxLGf$~ zQHAx*oCa!n#X@jg?jd(;cY}VZ&3U}bMhkATFJI1V-EVl^;@tf)O5m#J-4)f8zvwMY zfae6U<>qYQB|9?`0oS05TYhrn!0!iF=4pH+Gj+!Bb8{MBcmGU-ov^pRh7nF7{ufnm z0TtC3_6sA5B8Z}tNGM3BbW17?N+Uy;)W8fKQUXd#OG$TkhafSMN)8M;gmi=Sx5xi` z?|Z+sT&!VqEzg;=XYc3v)x)8EDsNVl50SL2x&!iJiiz}#Jtv5Z_z^M-x(+HKov9I= z@f>q$eO4%^lyCNRkM|lJpc&K`l&Y~lJM@^;B#SX`6T7{}+%3IN&^Op^?H4XX>SW%FNEG4aWN1G zY{BUB3uvc0XY(l&`V5XplA%NuHtSd`Ti9Th+8l zQ%}Y2>sfQtpH6(vg-{+tJmwn@jtK%B3Oj6d1`B=(g4cMhWQy{G zUnduj<*DyMC|9#fO&ncWLE97bwGc6M`4H>gjco4MlHntJQTd~PL(rH-CEHp@252u? zrqbu}gFxqmCcM ztM(vl=J-eRt2$E9kvp2*Il}OM#1kLTYX(3ubjiClE^+|xMsbMU;!o+7(0qY*xppwI ze$AL*ru1W^_whJ|?)Kvc8*XG(X3UF9a?r~*L6zfZi^vUV^2@hOWR^aI8Cb#9Tw^_m zEUn@q41<+R2q1uk*5jdGmSO|NT*7~>R#o6>a4dxTeWZv3M_5+pFRv({?HvIONGm8z z+2!ZBaB;art*szXQH%`V`)a`5dTb$})~M^)B3B|?I$HFlk@`e^!?9wNee`46r9s09 zRbd#9%F@>n)#3&Svuk#camd9(isQ6tOle+#$I^nsT<#Kt6j9UbX_6sSwjdmOx?|$J z8j(jJ6GM(s4Y9rY3xU^Ybiu@KGzdKRM3rjVsnu2VEPp$wHeMWkPnp+a`uMBd{Gr>u zyw~Vqf~pHgXy0TmGY!k<=~}f)oB;Oit|}TcC8DIqEl}8$JB{tf$21;~EsFOTy8i85q?9#d zn$8wgv3la~pj*qrIyc8lIotH4e|$}PTS@j6AIrN=YdFe-EvZsiC$!)%Dje=Cwh$0e z@n@6*5fLXTTJGx5z4~7ES7}?^7CdnFSTG~qB+4ryI=l}-;=X!cREyXqR~ZY?vxCZX zgojOv7I!)HXKpLMO;1RyBmz+WSkA@oF}u?p!`9rJN!HF6r84Rz^%rhiJ~YdfkhjE^ zo{-atXgz7qU(q&F0v6`Sooj58EqDbRy5%izER|N01ILy4Ca1U^36(>GiAeG-g4@^D z4#!-|Zx=7FpeUkR{Bkd^iwf1=phQU(S6wSKg=gtafrKE}f{Vj&`iAn2TpL6-vsTJX zqe{aM1a;kYF$DJas%pW@5?U0M!>6cirJYG5^Zft|OV1N~w^8#C(!6Go?hzK~Pxb5w zWa`T9nJB8JZ*nm;B-^juC9aOBcd8l7`-d49X=_CI_HzE3BI0dF+8~%2Ka{W695v7C zq1-R}H}h*9KRkD*w;U_rW>AUMwo@eok0De<=cYpIHZGx@r2=@_a63YatAY8J#w&!S zN<$eR4h{k3^IF}ag7dFu!adY=AIu5$JZ=g)lRTBJ0tQS8fd8c5a6? zOqHNUEYe`YqM~=Jq<-JhQ4O{V@n5BJ6)97crnPJDr&p{^6x6JkeX~`k4s5JVRy;5F zTUy4+Kh`oTs{`!SZMPzspX}liYDoSgmxLW?(*3@1E&Lw!ibz55i_KJL<}95Soove1 zRNXq7@|gY1zKw6!9bk=KoU<7Ka(b+ko$*4K@VVLV!gaT@Eer$4Gs@MeinoeyN3eK& z^!_`8tU^|bA2jhD-oAXJSu^jSNjxUA+^9Mo!$41w5Ti)?uJ14!+gGcsh)x%)c|CoqY(hk{bF7WMg1ID;m=~ zKJA;)7Tb6Que$X=(w7kiJj_kzvu}@yl2w<(ItoDDO^a2-{!rr}n9ucwA#xjt_QEx~ zd!J%&INJQN-Fs$`OC`DOzX&VPnMQ_XLshmI9E;>El)13qVthR-_yu`gum)%X)d`zGm@9q1lR^I~5fI^z%e&^yEbK>wNOp;+FrLe<|IOKq+&*M-Wr45o{Hk%!W_?KxPW zQD%l0j88~m8G2_wO;j>IuB>5vHrD>@+bv9CG?bIsp?+T($BU!J=$Jj4ZR@>(3M{3C z|EGu2_*`UC2{TWn$o)f5vIpzsI$bolFaPhLzNE{R~Lz`5MErK#6EOyw%M#q`HDfsFzq{)xFu z6@qP6Sz&S9mS~$gY9`h5@fE=fM?RSm#2Df7Qv6eqpY zIBhg*AU3~8baw_Q!oMi#(PIk*F%SFDgnYPZyeUr60T|Y8uMw^0wcl|BlzWGn(LK`t zytf$Y&%bO3WZPgKEJoyiG+{WG{+3<2Az4R?V%%d*OHJRTRGmfyB7 zCk|r$R&0zo)}UQ!C>?KnCtz4vAwstPth6v{EeLPt~1G>WK`Y=uD4`J>09c-4QH_(MY)WN)Ql=~xyCP(P}u3H(}5Op2QVxHiHp*H-&>`;#3rZuN363;SK6)Wv%K zHVPp4i+lYZ8|ayFsHV3lZfo6YmRrNFZ~}RMT_L`AR-dm$uMW*R@wRzBz`A9Wjib@k zFF>WwG+h@eg!JH;rYIRd&zJ%q4I<3hUs6o~&*Dq*;7QD+IAQmdAECjMuvp5vLy)|9 znkq=2C^%+qK=SERrb2HzoHfOf^RbgPM@qUy{w$+z^T;lWS#5N zek#I+CU)#5#-P5tmSrutzRnNlTwSpDxbKED`_@B^=8(buq4l=!bSO{0F71z)_Q)P= z;exQpFW;aZ_!3iu;4*&BSD7m9Pjj?3L{4Q zO>nbIS$2zsk4k?NQ|4+@3q?Hdj2Y&^h9*Q`etGdBLv-v@R0)mZ`t3(+9Wu-X6oR6} z6_0WpjX`bnEH3ft=I^S!?p2RoH5Pr&=XV=U2n%gz=~Sd}QLrAWdf+es0`1yLF3dMQ z)pb^PHHw{}0g2N|JUKe%uhCtrv8v|aUFqcVy#Td8WTy5>Q8S~yn06WUy=i$}P$eRM zd^XlJk|LOaD>3D&xdxH#7xf;<3KyP6(B(9`KajV8Y+Fw?HM()2?wfF& zYD!1+kxCbgGbQm$;|#tf!~Ot&$+GNo5p}+?el^^p7}tM7I1;uUWO9U-8p_Fu3-}O6 z*FTadst&N_`sJxcpeK80E7_^uLzhFg91&_$@wiY9a{1*lqBMI z>M>@a%g+d-hdhMw(uj%1=Mp}+4_TRLvob0gI}Y&TU@(3FGQJ_!dHU#!$YS@8|JsCq zxPMTjGZ&AtpILX3vH~%^0ys`?u67`E>Rv>IE2(&X5i}Zm4PCS9iioqDtoUjDb))Y% zUT+#HYJbJSs?SN1fP#x_@^e1Qd*HqM@h?yag!NE+-Ye27DSW(oV8YxC;s&U(2ef2>x5{-%Afjw zHmlwgX3mFCH{yHubeqGI$v0t1OBBVnD5oS*xc*KEnmbp>E&=YD!G@KR7OUqU6CU$+ zfJ@TFG1Zm|a0kB@n252U&V^Lc+crf83?bmQCUr*@!%~Q(o)xH)IOXwJToI!8bc7Al zs;?oB899GgTsSPd+Dz7R`%)G8PXZN|V&hF53PrF1zpRV5eH8c{3(40O?kys} z)Syb3&69sxC;5jNFM`g5L4~iEUIAg78CyxOu=*TvVf!2GUqF!6^GzjmB5;fK<0O)- zpPFVg>3TPl1;g{aOo(H0*I#c|h|kVXf&DXZPusUqU7x012S2_1Ba5;7?e4z70(IJ^u}%@ex! zt^%kB10~jKFTa@msuhE}hoUIHij{V8x+X8yAN4I;{MdxuxkHz5Vyl=MGvXv!7ZaYW zvd1OaFj1^JHca(~i&8#L|JXUnR#UOUa%Q=-B$Fv38`t=VMsZ~$wtthu$nX1`N9UDC z^5?gu1fM3lTU50m!hu$LvZ9heja&Da&?^|!;gu=2Ms0YJC^~c(Xn|0P z?bdTBRy&A~)7icB+-|tD<38lME}l+b4ET;K;Cm72Wc&j#P+mcys z#ieEKwp!y|o@A!fC!wnBEd&8M{8ViAdnT5Kgd&v)HN#Kh*TN1q4dwzHZQBZVmt^IK z_nNS+EC>t>vreB+7&6xdJmkj#DGdN%uc{5G;ARqt(V-;UMYL#a!5Wt+0>q#|-<`@% z4R~qde*U{yuo)Tdlpi342hl(6=CnfZyI605XngLOlGJiBSiPajp0xPp*8U8lkECtI z+am2!XKa?v*|2CT4{v$v+DEt&2I{co93Fj zk^uIdLwUenwD+-=RIAmig(z_|dGlh6n1)n)i{twAEBs#ijofTA)BU{DPOBahq||gx-x9~yE|{LjyPS2u z+CwG2&}Iu$#&2R`2mBW{{4S(kRLbW2h*vOzc;=r&XJInS@#~wgKKhNgO_&Hh=Smms z82O+qx1A7x7(jh}1t<^gUz@U}Z@e3~CX?RjFkPQ1HfDD-QV66%R*$|rJjo?|6IURV z8UQtVks{H)%JP+}c!B}fXuUTLB7)tSqOhqkX3e7KwKSv__w(_oa85P`c;OBT&RS(W z2>z|O+VMHZ(qK`41R0yAJXOK+dAUT(uNpArjky*vq@9(?M2(0a1t44@U#5mCw1~NS zhEcbu+WuLJAvdczo{8x6O*G>gtMlXEyN9k$s~V{r-Idc8yio-QoLBoogm6em_We2 z+F$ClY)gpw=xb~3D&5PADP^^aIGsCWHxoC}Tvc`&jt^!6d}-bc12JFnGdRZRj^UQ* z_4hfyiwmt#9KGGFz%U$BhT{^+*r_vPPs7M90~4BcQk3xV#P zXU_CzFQ-KLW&inORufwggd#Q(- zI2hTeh_-H({Iti%_j?WLOd(^W?KvGAy28>MqucPIZISVCuG*?Mt{vvs5EQfZr zT_nY~*y$OQNXIFx5ndc>5q_}Iz2a7%avRP8E+`^d~|9el%^0kSfz;P>c-TXK>1zcS~rr^Jl6Y9ZVe|m@ci`{9Ye}D6oh* zzuh6|;=N)K1Jcdnze&`-EFjSHz~1$&?)pWVE*b5yCGsvo7;s5a#~pF3)g;)0@RxX< z#~gy$Ebmzz;}f&^*wYsms_9MZF0Vl)b9W~H?}{y+4P$)E!O@`R_r!z_87qRfw+ly^ zcxt!&sg<|GXTdT0#Rf}{(vqr`;`L8L`k_zE#q@>J9~b=FSZ$d5S$-bX6K@R9Lc$}k zvw5(C2yqmR?VB1Oh@(8A-Fq!t>-$vKC;xE>ly^QA`&-v3c8!0-g8DeGH9$c~O)k)S zF5}Pgjd`$>rA@CceX&Y1=>BRgnD|>6G=IQ=bEi@sbAYPI@g^TOXadC(Sh>%D>CVKl z7HI~}%bw8cRUVX~U;ptQV8Zzld`Al4X?4g`RoJRhdpkS5eZ zmf<(fWlc{>Y8F>|Pje9+Ax%!;3u|0)!3BU^>D_4 zTAll!VfTwY0`;an7CU=Ri%3VcU2loX{6@h+`3`f{Fji)juvF1itnzDHrn%;7wMX98 zY!R21(x(%Tj0TtzbFnJ8R7Y7es}Z(iJ^3r{1-wk$absLT`IsZj}U7;Wz^ed3DEqq;sTwPxlQa+lJfDb52sSwp!EJja5j%1by&5InIuiGxR;Th zljFQ1Q3&EB|6Mb1LRD{4JB+YFSl(i7NHG-GQzAF|Y$2aSqj9p2>)FL_Y$gb1*(s_n zxEy`?@hV4f5W)5i$usnmIYf`9f%O-)cFJSzMhZ{Vx=I7jUI^O6sv)3{dg9lTWR)yX z;{wPDCtR3MQ?h+0Xd-9O`ewfe<$cJ52GAAjy_%`Wjxc@x3w+#wqVU>UbkcI=HTPuF zRkUaIzw*+@$IBOsSNuO_g>l&$Zz&p|ZyJc(E5k4n%uSh&{m?-uB{&g?2|t+$h!PM~!~()p{~A zY#-!Q(NMNc+nq=_F)NA~r#se7&9wriNSgN_+^!K%5O zMFV83?$^y!6qd}>F2M`j(6vynlf)`|vI*3LJ!+gFq3>J2px#d|CFG5#^eXm}N`=CRqk4*o=9U^#-yXnQ zOr_{~Bf+`2^W86yDgO z>3VRzrSn`S?&?wl6fv z*^`Ptfclgt$id*ABHd7bqHn*YcJaF`!jwA-vGc{|sA)H^Z1(H5yGp4+0Z2YQW>CFi ziiA|j(D+8ZFI;l|V&j`wq=}b|4b}X<@@+h%M&U@5Qs*_t+n-xr6!#fRkl9sQG_Kcy zfBFX)^jU!ObU*la{5LR^3hIJ3!2TUAD}$LAL|S3(a=jFtPIBX^Xp+AJZH%hFzc-m$ z5R<(BCK=JIx5EY+WNP517o$88Bt3|DyWb)JF>6-f`yB{Zy??upSld8SZ%(?^Pz2utiwb{#QYEHJ}C7a;Ejzz#_*THa%7Ilejs zEv(o4=V_{YVp)~>dMnu1jM?}P?zfInsdr7-hij&FV{lnbF=VH&;HZ7pdJr6OH+4c$zj!XmGUe77G;rP@HB~f^ zg*s*gXh=``4#k1?rh(aD0uMoVRVH)8{27I`Fk0dDq?Ua$)%pI>Bc{R$6N@*Dv`BCSXuWc_Jp@ zXyZr0sr&8vS_+=u1?!BK?U+RWW^Pz?_Jn8`p$^_W(f)9Bmi}X36^2^bCKdH^Sedrn zj-RFyj48P383}+*v(~z3XCwQy@9io=1vgUU0d14W1#+1k9A5a74F#0jKMP z)BH`fYm7k^v~C0Vf!|hV7Q1b_3yR`>t`9fG0|U9NqJ#j055VNp>b$>?iEqsJ?$QCR zuBoM=-j(I2PmCp5tZ#$`qRyvyUw!v01*on^k7m){vf&XL!WNY_gZCHZ2HsHQfB-T2 z?ox1~YY>T{4r3-70{WETwTQ$HHIJ552GI+MS42k1@`%!4nYSFwwgXf3G;5f#(S)nSKaJ?!w2+FvlJ)8lMADg zGAzlIBZEhz1M=;0q~6XD6itZ!aAg~BJ-97X3?VeVm>oCPv3Bs z;4MH?M5Y1U#7J^~Dcgvm{E-OxaeYQPDlAwG`hspEB3)3$Wo4Q=p}%*gm%5Jj8S+Lm z({{Oxz##;+QKv(osEHuQ_e_at%zvlxvfTA7H+IYgi*pwDE#$KS^tlW}GE*Rtuz@I1 zM<`MTq=L&73KaqF=j8o+U z!HnkmyOCQPi!uE@CTrvgcesI*&33)xiy>)>63ONuS-G|NYX-#xoRR1>rx5f##O<%g z^$A0L179c60cIlD$a*WEPao@n!hnYl9C@;ImUFhSX|3DYXWVvrLYke&(PsX~za{7l z$uyOYrTs^8V^xHG`)mUon8!)4c}!uVJ{FXmDYcJsq@xEIIM=OT8OjoU6B7zbp9{AD zk}^JxFFv-wLL#ef>3l-XE@pZcxH9~MM?|%^lD$-o*45u5YG#gW#O`C!M#~0GqA^bH z-eI$@aak!W*&w_G9PR`bnlT`NH&EYlV%uR>0C)QB#>XpR;7e31btB{q#8ZVNi?x7U!4RtJ!?sf;d zK#Q^8YtIBWOCCayU(L0VMsxFX9UyFgFThSwGxm)!ZSbi-xIG zGQ|7@1HU4L++*5ol|^{Rgc(a8Dc1m98u6<(2Md$#R;fnadbU4twj}D5tBweQVQR8N zL`(A)42F1}+yxteHtZqMW`llxUCV;j>vxUN`=nT_md&XomN2#5)(_?qg(oA&aXDn( z=g?uVtN7dBUJ8MF)l<>sqcFII>YMe2EN<6D<7o5)%Jy~{TJdvYRfzN_wAUccW5HtkK>^JYZ`0o!lX$sDf0)#(LOtF2xE^Q`@4I<|3+m@n@uH~wY3OMRE zJ&n0>UfqBcCaJRVDp`3xQhk|RiDjJyFe2~!P|NZRg158+}wXafl?0VSd zAEKi-X5GS>PTfDgXUIvy+$8q1Z9P%@766x_X7qfm220`4m9vZNlY=&}hsEfhbB2Yk z!O>Mchygp2ZYuKVA{v$m$LL#hfChd7tkbfia%w@jmX=4v!_+lfxVzQQXFUNmgq)jSXq2 zy$KYDAU#G1ivPyW(lOIITNx+G)rJ2(+bgA%_05gQBQ#+BO}R5V1DppM4jAvifImlJ za1p*Ae0Iu1Wd1cIpXYO&I_{N!c^rrYA~Yte^FT*u{yJ>h8NydP10J1b6^l2`C7@ zgDhrqOKpr6>II-A-ds6vWZzf;iJG86#b{Otwchd@wbYsf`RTY=t_eI9=iB-#k|c)V zUHY`@7DzUPF&X2^)Dy+EIQh9%LQ%yGks)-xjv2Q&w&V4z(xt#n{=wX2)q|%4uGB8( zF@FE~_VKWA5HXiTM!-v0@x9s*<3gn!9Uz+lX~weHYOQ~VW8KDCkZe3EWbrNh3Y4v_7jojj z6szxzyG7M}Y>v2;w6G-8>TkQ7n ziYXyzj2Nsgmlk+z#~?(Cp}xMxc=dcFAX=elmjdTj@oRJ1>2*z9Oq&Q$2h1L`s-kSP zgB%XK{E21ss)#J1%&sTSM%ZEO?0&J~Y_y?EQ7(+(mls+ahe6p$v}>YR9X!0H|9t)c zp^#UPD9m@TVqhQ=rbdbL4&2DoQcXyKlU0L-Agvx}RVQsz=-+3nUv{Iv{zD@KRYM`N z7nt@md5?brx|!10@`grT)~su6<(DZu@DC15id&jBcQlTH*n4lG{``&FHZ^M8%I;;oFP|C_j=sNJm1= z33ul*auuuBRbH#=B#)(iZl;o;ts$q0E_bRs5y<94WxM1asnvLDP@f-8AR6AF3attq zjNg*5J`}dp!|SVg{zA!5S)UyvJks3qF5a^3&MhT<%z(+4#OZrCUfQ@;W&l-YMrsN? zJB{q6cAZawWK@cA%*QnC_H`>;s#OZaiK)P)^5|5KH}l>NeO|w>FvvvOMNe;`3r;%b z?DgdUcDY)@MnM%Yonte10L(fJEMx)lDUa>|<0Ozh4TA76@8j@@0Kkm1O)#iJ2Tuz3 zo)VqIp%*b2Vi(;ABrz%cR=meHCnvV3+&C8C#VQ8`Btt-;7Tos{0uI2^0^P09EJt|5}YX5{;9goLK1 zPSZ->qY(HO?*03(jQZcy8$Zr8(@vdZPspD{r;MsQ*Sf)I_#LH2bWOA5uy|Z-ILIvJ zT(r4Ea+Mh9CmxxjS?($lk0*rUpUr&zQg1gbu8FR;m)H(>o|AZ-U~%q$B*);gy!d~4 zha&~D>GinoOlHv!CX}kFl$}I9vcG(2>Z)~wxJD~M$)PtAVNn-Uc71j$01L%YV8Wn4{B@)|5g#YvX~O+BMJ#5ce5oO>ByyrW;Rbiv2iq42NiZo-ql-JKYhnk_Bu7ZV=%c)=epOl6FFD&!GTNA5PdB_;q&joXoq2mk11pq(k7Q zk<+NZ4kSTGF`1kh%qF+_0YCe-T$SsMC2#N{V2Gtx^q=bYzy~TVl*O z(Y@|1F_4W4Y+-+|4sL=Wc$iqlSKji&FG_-ZZ=^NR!Ca>V9ckwG(Z3hpmiS0SWurd5 zVCe!o6XZXmXWECqOu*xrV6hTIu|WX&4ib2n{;V!#Q~C9BoN6}CCn6X37gZJ}>^6TS zc#nyr(e;B`Wut6Disq5$V|#ZCrhB`UWnF59s8`Endfq--%I=a9Wp|f@zfH;O-^c^! zM#J{(@+8_I-qu%_8Tul&9Xu*9(G(`?>VeHjuV;WYeh_QV2{!hyU@-L&*dtHPECE9a zbe2E^Bh?KgTuOHJyN$&4yd>Z~df6nwQ^G1jL7}=xQvQsd8`U&P+>>G`K!ZES+VFkZ zK%2EUV%drSg0$um%>DC=-ZV&1;|@(8 z1g_Odl-L-@_f~ahQM)DALTrgCtal%lBY9!_G#0ITn|+ZQv-_pg^Y=iG{wDP{Ay}B6 zb4L^o(|jA*!k9#>tmtVGrLCJW?k8sUH>;C4 z9AhrKA6$0g#1^(uJ7JBzmTn;!2kqOJqcQ?de^axn1=Im*&dgnkc=CuuY)?qCnffcw z6nx+Q93OszuPRAujhZ;z=lC9YFhfd)uKt7f4|bqIp4Hr3R- zx_+S2ORsWVpImn`KXh#~7pC}SgyfrRjYmaA5spm)A3APBcrR#cX80#t6!=d;tSIaB z<>S!Y612L~#z()Qk__Npcbj5zD< z7u!Dk3R#Q|?R(7N-Ry%4)s$4Ir5Er8X9)0nf`Gvt-?^NHtCrPaFxjW#;H@a!?ADy; zl`ZnY-G*hJ$Xt`H%G~Iio-vJg>#RxH(n$I%iA(xe)(@-LLbrBjy6P|Fc+^QG)NkF( zcoyB?|MUJzP7s*oojr29^=$HP3U#D0keyyl9BnKlW@J@wHfYKQEybgX>sv1-yb&@0 zLdlVZ>UK~w(#3x-3{F;wQIu3Ou`4b}XU?hOQKr+z$w9Ng;Qa(x7yIQ)x&fbLcRy*r zJ9=N)1jWqgjVKcjB%^PF+l2T7E`Cutq4Y-$h48Nti>>tH+BXgJa+%{Dp-nIPIMbFb zbbkj0XE;>Oe=#iUOUn73muRl5^l68q8$1wQ77}UI4fs77Zb5;EJ&opYMu}l!@O3{9 ze!AWBVJMaTPd7;EZw(V~&U}z|Izz>GePyYN*m}(xVRO{S-h@O`3%N+H^G8xP`A*mm z)#|>XJ4s`%84^^cTdpMbM155{-(gv_NET@lr6aO*eJ@u!*iT(&^(u69i$i9lo-l5j z2@4CPaQW<=DdN4v6=c@n5R86L_pV%~glSx|xvS6eUxvUuq!w3SorI~d#w&G{0Js#N z{c%+l>8sSaKc^qo7s<<0R!9EYA?d6jj`uG ztgyY@>%8QflYIw&ohb;dS~8A22Bj?&eJq$@79I)YBq{w=U33Y*&CnKlk^h=r1BB1o zas8sHyIC)#he%@o{9z90lGy+DhTQTnrg zs#~Zo^b`gx3}DdD>r7@aZ^L%m%AD2zRbfrZO)7(px!zgHhGjRFALMz$@_7WP^UcGq zhLe|`q+p(so+YFy^{>WisR<5D1zKSHL27BZqXRWzL zQ{cV^Ox}5CCl+v!Y1I`83PyFHdtN_OG#_R|*2l9Eq{2KlD|#Fb1_ZL|>d3&jNxwVP z@0T1_MzyIo5`<4SSR)5e0dV26DLR3zca$f^W~vOHs2~#d5gC<=o*cRpG{zj6=t8GO zAuvrFeOUtf-43`|$yv{%ddneZpsSIi|AMufo65SE0P+`(!2Dzw;$X_#J-d8`MLVBT zAsYq)I!4f3nA!{^0;rpEDbf9=5B!NE`-qtZfX85PFZfxQ8K0U{>9SY=II{)Uq8EV@ z-NY{fedp{jK1=$#7`D0#x6a(<$yS!$Y^#S9LavXVx-H`suk9Lh$9?y?IMZ>-jW+|c zxk9>3CL0_XTMu(M`QVS8_d1vxe#r2bMzhi-XosL90^R=!T*sA-3yEXne!k`La`=(7;s4o4v$jVzf}g#j@adKavTos z{BZoIyyv4D|BeLi%!=A7a%jTORI}=Q_m+XbSFQMej&*k)Uhfxqr-&I&J6jf5{kcFX z3(N#0LmTCVU&blW#3h|AQ3m(2)A!%`L^tSH#84W&n5AKceiZ#_XbSD^eb@|;2k%4C zt2S->Tk{ukF&;3ulY-dMtq)&64_!Q2yYB|G<_)q`i7*`se!CVii|0E5q@CKOJMDW> zOjieqiJs!*wRHK&=O+RJc989fm}5wdN%gN~hFUql4;To}n8{KyGR|9!+A z7qakxW6Qs;0LSM7xcbDRI=0h}(5yS_OM9%*q@x`x|1)qA4Eu`6k52mm>R9)^YE)?> znX0N$g59`0w>`^e5f1}s{7-5|*VFjOWVj|ngtE0u?;r?Lt>p(&1MV@To z)#bED((aL~;SH?6had0cK#8gbEVhI=-0!KrMFF99cc#_htxFKT>~9h89f>d5Mq&EP zNz#X&aeB>WM!x$d%qk<_spZfkd2cK44v2K%ufa`8#G)4F4dE1Teo%KkuEL=Dh;+2H z5fdZ^CdHhJTMi9gSh=doe`u`VvbsXLHDC3WrCgy$P5RM_%18N9p^Z4RrbcZ%D~h zXf_Ljq>5|w@|hCV|1&XByLD)k8ga&<`~L>V7=Ok8Gxw0s0E}3%(Yw?9Qe4#FsmIhs zy;C6H^Yfv|Z=IZm?*u1CU%z|9qhe4-X0X$-3HLy*^EcB~+;c@@babnm^(eJ8uvdDq zJUh_y!eE$#0cwT9BdWh^ik*)mhfvO<#>r56pn9Fe~ z;=!wweM=?K$?I?1{e?UFTa(o$R@G<+Ye{+)d?bGKr$0ZtHQ{ee$n%ow*M2xPkl#fL z7TTWYd54&h3}wyb%uo0nJz?vk&I5BL^EDRDb~=d_`v$0yXpiY;L1FHLVjX+E1qzQ+ z!3$v42k9%hD-`M=wwKeH={E;YO-PHYcnK9hRi1rOm(JZJZ5n)In zZjP_s^%nWX#GTUbKlyzE=Opmoa~K)p_bk;4^mS{}I{uIY#jm_PbTm3V>t~^S5>`>S zW#ZPoLajEGB^?kpN;Zh8L~Z_kX$RrpeE7;x)wHy3LRtgvj0bX>0 zk+n~RiiKb_EOkFLR~O-YBF&+q8xtHOzZP!~2CBJjXrIiF0{$>I zArokOG1-hRTT_AhO)fXEz+j*In^QITX%|b36yOq~Vo?kX6tege%7$L|60T;33L6JL zT+fXO?iNgBA=wi|Pa%P@Rl3lhTd>MB!7WgoBB*A7vI1NV^R!{XjQHh3lOucGM|;}R zgv0coTl3SyV`>L}^+!p_Bmy=AL$4%AdmKBF4syNY4PBss&nfI;J%`8ki*9xXpNhb& z8`}R0-&mXszF5BG*W{vIwsQ-M*PZXjVdBKg&jo+|WcU(@ZbIqJs?i@0>zaYi-QT%NC z2I@43ZuY29*_m?rqI=Qd)8B4Mp(CZM>15G*!c-v`i-ARG4n6*<9W2)jsIXC|pHWJ3 z02llQVo%TN{y2dIKx=pE^*|5`RLp%tcKA4;JtTX#wGKH!Jcl-?{mzcAIDvwT-s2awmfoM$v| zwU+DH_uOaT_Fs5p&t36ZfzJzam4(wS z2kU(Gy~b&=Itrz@rGn5vGgD1K%AjEv(Fm=EdTR>xl`D3YA0u+vV8moJNXG!$WZEcx z5Z63}XzOa2{k~c)X(?9j_QC2cv616&JFAGZn?_Oi0A~F>pn7b5IQ%4pM@6%;4TdE_ zYxm4F3FLfvL7lbE8wg2aTI9%jn4{|eqlJ5x4KvfV9%_qW~Eu>C1y{Nwdy zlJhPIdB*mmchqNhy)(uVE+p7~c&Kz8@LNyRxnEQh3u}UW~$jeJ-(kg2WfSUZ1+AdP` zU>}V8e5hQX7Cp?+9{4VonI8qX!c!9bllW?xJpcsD%_=pm=f;GoF51{n`6YBKc`bfV;CeW**XvI3 zfQkV9pcEoprBVzl{JpZR^%%SNF*XMYXeYre3QZ8ax^W&}@-6{uZ&m$o4JZ_!ig_NMEtMEViC6tHwKUQ%G*Ex@}+>NIDX-(rxS{GtIkQ2CP%eV*;o8lfu6@WS5 zLWWmq(x-_zHPn7OZ+a^7@3g(-51H^;;6m*+D!WavPOz=l;wYv38%nH6Tx@#+lq1`ZRXwgO>0$&QYy)YdX&=e|8L}gr9Uu& zv45@`x;hgZw`@m=%eVCe#%+1$7plE@c}zo_MB%~hr@4L0poun+-R~ZX#leX#sO{|6 zTgb_f>U`Dp2dw9s$IZ!Q0PoF#z?Lw<37lz>9lUui`}vrt-=P#@Sqp9kfaeD|W(aE4 z@+|;_)Penr?xVb`rKTZtVhs9mT>e_c`IxNz4^R>opHE&VXGQT1sy;|dh-jkqY^9nn z7DP=+vJlG0&&83-uY>Uh#QmjEL*^5|3?P$J`VxbjdwoQ+*bvWaI9gexGES1(UK`f_ zeSs-R4I0+N^LHI>xfd>Wv);<{0rbQ26R_|@qHg29Qaa{_L&K%c_AWi;P?haaIr3=i>qGaYjeU-mL#eKUTYN zdzq)Sq?sdLw2oRcw(sFLrW2a>ILlfe4-tU5R0qx&CN#nW0yW@V9G~!ZzXkf>Xa=J$Yl0pr1{GC2N};EnhF9}g+h;qS ze?Mv$cQ=(9d~A(43ojxK^(?Wxj}f9N@_2dptU+$w84R>(EmP|LLFNs+7st<+i2b*N zGlGWaP8FnT%klbv`)b!_j4$y5y)nM9vD1p}DSp~0^kl4KWF_I;OpCHEM~~xSd5@Tn zH6>3=Wxp*%#Vtt+-n1xquJpwh9Ggb}&8K+AGI&eB3PwH)8?y$ElAA<#Q^-|~jA(C& znJxmLj6+^w9r@|=>bpm}O}lD)kHMd$enFSp(QY4H@$^2D^EMTq_?L;fU{73kmhFDC ze;NGgVDVV1e-x{Kc+S0x_jAv@ zclI^;W+ou#35JwKXZ${w(|RjLboju#0uS8pf;9nhvvu{hMe|H4NLaYOjyChF7K7?m zp&n_&AW(+)*Alqo(mHoFYF&o23LLEPT#Bt(6YpX|1r6P^+nzlnDxVF*cxZvlO))yp zpYPk+TNHDrX6Bwgr@No-d%I6}r4RZ(w3hJd!R$6|fL(DN zw&@3xsin_|7Z&>=aM1cDqzwe()kG?dT%T97fUweIzYURDag-h+KpW3wnr>_%w%u$t zX(Q!jFCuDz3Eu;FIf@o`WcwyrB2Pm{9XW5n)}Q@AguHc}zI9y4HCwVGqXPYw`temR z(fxgp+Ddky3&J}ir2AuBj$aknqOsJDApMKg8msxa%xu#(j~~NNQRTkB$*BLZVE{B< zq0T)vxG}A+Kzz6y&vWA`$?sykDlP>fu?@TEpLLbkpn=Mt82;u7zFJ>L5n2!a|0IWl z%?><1JY)sDYj56A41%Np(0>NB^nk@x7-e@{?o*(xPHgGm`!_$G)y{L-qd>Em-noe9 z{^RkV2?((Dn|T{9A_&i8y*~=8w&;=d-U5X{n6(6`HJt~i%{svo%j1K0puR!6zQj9c zgg-!0L1Bs+elEAWv8k-NXl19lx!B6P>o5=eszw=<6Sxw~Ct`hdn$~~N5~ov|!vJIm zmrIFesd~*TFUz`D{ zK|@>`vZ1*0v6!;{z9i+0O>*2`2P~3x^-Ah}H2cxHC3IFSF=-(Sw{fssIOrbWtH`$Q2T+mn0;( zK2vo@(~6y#osvV9!-e&8`dev`#p%o%TJZF<#@iEnw8Da&=($^0r#E1)lr=lpj|EbY z&YM9Z5(qk(s)n1^l@X5@E+6YVEWBR>{`jvCx8Ek+`<*iHx3-DS+%X0N5cn(3*BYna zdjG1}usi+f%#qj$D)4_OJ-ikayUiY6h2GPK^;m@Uti~5ixP=3c=foRu&?Co*G0h%2 zsRW{(n}6qz@14Zs2KJx>_ceCsEl1z@oxE=Q-lZXM#;NGF?KRZ=jVqnhi+G1uYvF^P~?Q}i~8}DMB2XdA; zVcKz^UGCe)xc{HsC4*J^U)w)_+m_#J#3$!?pNw6B=)dSR`dIHXF^v2KIn_vfPHnZfhdf4le zJNrXS2tZ~0_pW)D)Wnc3CjN#Cj=vkJ`JW=HI7LnALk3fxdav1sw39rMhCJL)2(})W zWpx(@9*NvvF>}IRJ^Y)Fl(9KnapaiHZ7DBRG;th|27zGCENn^8Lyb6cfk_ymK*4l> zY%Bj&fdT|ROLqP(yUiyx`Kt;ei1AO|PXzfgrCg9w7jv@f0y)(>-@kX%xxO_ z;Q!~r#A8yakNLQ;ayi6&L~Q`FLPPw#wQSCIWB}`0DtZ@zMU6*0in@GT%(; zb{K^!Yd=GB_GZ!Y+_h&(PP}ddxwiNPsnyDY5RpKY1M^AC%J!zg(fuM9trlaL4kd^* zs@iKy=S$hoX36KK;`9{Vwh&k0^x!~QISB`sQrhqgbam@U**jG9(f){uM*}4*)UT8d z+?Acg*cEhYEh3!vH9W3x+VA-m#c=-*7k4fFaK_XHR3g(qfu8OOe!1xt!dItHxRZ$& z-t5}d%Av3sVAdPRYx=QPQ132Iq>22Pv-s&GI>n5?(hjPkd@E((QV&XhXu;=^@9I0w z1=x{nva_La$X7}1y(S*7u1+2(Srr5IZd9>8h6EtuFPw)K{!YeA{l+79j5-asEq%kj z-3!t&ks?s&Bbgo^_7{D;wXNGxj}8asnBKOGY8l2$y;jbZcy4Z#!`r3*|kJ3{axsM^M7Ee%Hnxn;EZETs4+yHn#z~n|zzc4ZlAslIzKjQnvZakq!a++}m1QEq znYNBAXZ2c@4TlyOJywf`x$5(1SlRzFX@b5{GbAC+wAx8%HD{=_!RT`mORifc<(}(0 zz<07ED!h{f?oLODV^pF_#fuCl`0k=A=O>{l1Snq9SH<^L*jg<3Ryr%6poZ{$QG1aC zFKcgmffD(JCldLHO~wVCQ3S*gbO$MgP~tQt3UmNZ^58m&cpzl}v>fUK*kK3qQm9=l6GD%IJtwSG4xN zln70R6`gU7M4y|F|D0%bP!vw6KT3Qjw^k^Snz7 z{1tcp#XwJj4c#o{kSL%{=L9ri?Bd==o{SN+UbsK_wKM9c+hht5H~a6F=N(nedv2I| z4zZWw3Ak6IEoV1}9I8(Txw!KR)$?B0m9u7DP0jfy&hJ%WYI?+7c;?{H=Cq3P%33_# zqfGSv#1sd`4VR1!S787!@{v2B=ykSl~;k)q>W zm&#DjCqzgdlE&PdP{`FCDCe8bbAj2Bl7T?<1bYXX7ZuR%`hg>-DWa>!U2Av5Db2i5eMgHcPH zNqx(8a#IbW_iazP81y_M+Y=Q+d0UP4@fooc1M#QdtQPfx8Kk-9^#pz9yw5suuTVhx z^K5DFTk!u%V5;bRr`e>j)R8+1XOzyk@HiDqA1x=RcW2a+zyVE4;R`|XNr|BuZ{{wo zq>>E9ht^NUd_aaqpZ5jdDwD7f9VuLdLxiAYB94sLYo_a3cv}JwX>aW3Vtg^9G+^EIX58wVXSDxYh7%I!oj1 zs^PLO?Gs5>#+LN%JFyfZ4D^T0q)4*|2XV(ly#>V)8C?Qmi;G90xa@;9uyayaxoB$%TN_Uzdy9>XS%ezOu07dgbg3v797Ah_OX3SZvzNA0r5HNQxE&PednA<4Dtg3{};aa{oB$vyhqDRLC z2?D2(d1_B+j^}pV);rq+iFZ>`+UJdHd-;Bv-lYV5s4H_n6$|ycDRY1I zFE~7^+=X8%q1uxbi6Q!tw+p`V&=h=QHN}jxc;dD>mF*J}Y?O~6l?6}b|l>O#fGV6a+v?bZ} z^Smg{1cEGUt-$wdZRT9**14MOfuk6b)AJCpHk++oo`^?NEI&`;%OJD;bwnyIj0JH{ zW@q$!veCO(-CDJblIYc0Dg>1BmZj0Rw34ie`ZM*C!Od2Y>TO^AJdm~*Dzw;;1? z>S7&?H@NR38aqT#eo8m#Rym_d6o2_5T1BP9I^3>t&mf_?VNCbk4=z+PQoeSB$m z`px&>(;JP}c~`jzk{R#1dj^)gp3JG_#7nfW-3br9Vw~yXuP`lZ;jx@>ZiU$IHA(^p zX)iRSbjK{PwCKlHmdpmG+vPd2>`)=8joU<@23a#h38g&j!F1ub0jjAG{L!`&YTd$7 zdkZgts%>Mz`-TTf9Fwz*L3XW5NhN;)UuXn9)R@;>#!Nc1X|v#U2SNq(h{zC~H5{o; z54lYb9q4DhRCkB+i;+rcOa`c)NzR!)aqu-^VaYyqtLLhH#>sbbkDt!}ND?Hex{vpx z($5e0i=>-Qk1qq!y>HBzcNT5^JCNXODJWhitS-K9otYaqaODbf28}3o77s&5pAY@Q z2oLiaE?5yKJ(PNl{Wq-39(hwV9X6$uK=e)~#eg2?)&MQtB&YkpdC06tlQl<6X^Y@p zS=(tnZa|zV*$B?s_`Ky}$Y7I!H>Qh)5D-sYD`i6bui~F7h&wBE@{$Cfm}M0Anw^x2 z^$-(`JnxGnawGFyR7?JY-@@b(&90H=0bBR=lP%TCaZ`z$SJcwm_VHu{C&lDKiuBM7W_@6exbCZAhe*M;%a{T#RwXba$3k%c8LiOpRZws>STt!I8JlnH>~?889_44QdXU0r-NymO^NcIp za!g&w`wZ1pHCU;PPo{|Xi(^U&OKDwCj;_z*)wSt=gt%iflAi9Q@0f0-j2@}s0|G>% zbmW;x$`s1*86U0ja9Z$^-BeV<%|3CtexrUoOsaZKF(&xo zVS~_58o8l)L#vaCaiUL?vv>9jho(1(lYG}~)k)Qo9_>tYE&A%X3f+I4ICAy<1^R63 zy7Cmc9i{J!18bPoXo7CJmwez<#_j%36%`e|58M8YfVSeOCyfEkZ71HYY$T4NMu%?V zS(LjCl)1=`-kLfr-NPSCei+a{u9z2dh0h-pY@H-U1*hfiHN6C-{7xt8gUH$4xT%(9 zaJJ=n(_cTcT5nluR8x=`OhP+n7)>?g|MIC5XlSe6kkQvnksld1vIc#EPR*|BWt6#y z+vuokIrke;ASjP$6HRm}fOR%6e}MkpZx6S3Xj*21C|1QGS}e*zkh_(Jf%Z0YYTRou zh4UBaK6rfmi-w+_9`O`D{44wZjG0o*pUkGVdFhUw1XD^{T2n`7T^~B)z+CB5$59u} zH!;();*5qB=%t-mJKpG!+cQ0m(xT2`|6KZanbS_J^^IfU180e1jb{dov^tg0vagHw4!p0cHi*QoHyPMA_-y5^t-fF+1dg>&ef~YKX8NuQ ziW3#d;ykS!FX*x}-^i(@rS&B}eb+c8H8m2SUe5etZ9 z@Sr*Gq^&hjM#ep8ad_9-joApMqpA5MQ!Rq{g`W9(|JR{&?E;mq`@5TJpHrK-09RMn zqs??D-?Ef7nHkR$^34E01mI#8RbkpC62x1^_EWFVuFmK>3}`<~D6m(tiHuAu{OI2H z-u{hp28T&YSW}aL|Gz~q1$A{$S)KPC2??iZjMcBtK6~RMFYU|-6DX2jiX0z%F0ja$xL841S=!W;dMH~wj?~OwbEqm39QF+FU}tCJ z>TB2MyWXJdo%7X+wfp`Y@$Ph`yuZKyoiHIjKE9}V&6LXtDW)$tpNyLx>|90SeWcG6 zv~&T-IwO>3s8YfD#=a zUvs6}+`4DH=tYDusBqBYUaV=eP7;mGlz>jkVQlx(34>aDZImc3`qzXv4|J`?>=#kd zZaN+U6bg+!@tqyv*&$&LmkOCGHyWh+Xci-9m2kCE)MsTck_K}*P9={k@HWOiPi0WF z|Kh?cw@3L%`~NWo2EuZ^Xpqf-Xjraypn>r5e+~lU=A~9WZc2l3YyKtofIEZr{f-*N z{$I=+cP5$Li0l0fS8rdRR6Il3>sq;kFSmSt7w^vw7Ae5=BR_xc1A5@RH^bfBbE53% z$Pu5AkO|!z8yh=c8!3gWMoh(#IIiv5)#sT83g|HKBf!2 zKh36p`I0~=6GzndtTRj0ZyjgQ)?u#h_|hw$0eyCM)-__2H2v?#X|o_IPz_NQY^5b2 zAUK*ba_U-j?x!MOWR7id^|sP6H2ehe!K`jCkG*$_3)gX&pYb^@#q90$a za%!J-{6|>vZ8JSM@*ivQc=zYqE7bk@MpOu!X)9Sz1n#f)fSWIgi41P;_w)7dNKZ~q zzGP&ud9ghCnwS_COTjOclBAR$GkSTr`8U14zrQm_GW2n#&xC}?3)M2E3=C2iarp6-Uk|-#;eFa$3xB)VE==k|b zg+2G|&Z4vx718@*o`xc0l9+>6*9by9)}#`}x|h0sH~WniFTYjUjncte_#Ec?Ni`rc zva-$W!;e#+tCzO1DNw;j?z`BZ=k~vJ7P*+Qf|T56-d|65SpGX$d?_#Y57TKP47T2}4g=(fS;FF6qj2@DivO%W#Q zP|X&jl9iR+T4;WisKf}C#bziYD*JBF)-^)zA37m3Mv-Cy(<1I96G=%)z(1~v#`d2cyC3W7cL!#J|6j16e(Z>mqr$(&}N z8I_aGx5x4ol$5%G<>2<%(E%S?E;PBgM#%qr0_aN}NMN=CQUIEqVj4C&vU>>xj@$7J z4XuI^W`F`L1w91($rd-;?Dww)0!ReVTffqD$iwp|l~Kd{E_s>&q|(W`En!{6VAD$Z zM#n{GSTB0B^zmy@t5SsEthZOD%(z*rAQAz-(CjwTG))ja}884?s_#W zf|$eVBkpxTX)~Plx3@S7pmHFgl=;c}fI*utFOb-<28a3IRAT|OVZoF3Ny1p!*wi9q zsJPVbM*M-d-tGqrPsa<@od^^OAqM4ol!C5EcQ^k4bF!`9yzx#v69~K&fUT`re`0Yi zL5xO?{529rB(b!@B>p!)HtG^mez*^W_2OZrA#ms{2o{!1e@B|ef|C^ znVGTq$|*M3|hBlqMiTvaA+GelbSx|i3=9mB)24o^fGy3^ zc{efyQfNL}e2=!LFWe*J(SEmrYHZ-8Us>h<@hy2(2qLN_uqv^eK2ecrpbDCd>I_iZ zXNm+sw>EIXBa0Nxfq6GAE-OnEMxvve<#wU7UwO|*!K9iNR#n9%BPRy~Rh8w>i4p+x zNZQ-80_Nfo5{BAl2ao{%K!Sn1TaM&_Fx}CSvqF3rJUeLVsuk#7$Iap)9zK3ZYAV_K z`g+ryiDLZG0CTqa<)!pIug9EgMZe>k7$C|0QH1z2CMJ~8(NVzgg89?U_4Us8 zeA15)>4K zT^_Gl9>bu(?t{QA3Va#m831i)cQ_`rSi7)yw$>I}qFWkfSWa@f`Iqq5XDUKB_z;w40-lQZ5W;<^b>Kn9nYup-RWpBO4MP;!_pNw9=@mo z5F7F;F!isgsVrbbx5cyVaal`C%h>tDg=TFC9`LCEE$w#~Mo%ObT7AaXd~VKn;SCjD zhf9{%XWK*8kVhGEoc~c+7)@&G-Q}t_6o6t$mLw$?z&H5e>FFslq}mOx zMk}KW`!T*92DNl?Jl)ER`vd?A?dRfw@pQ2^GdFOJXv6RxSAt5|lL(khUTS{)(a>%q z4;kzQX3)mK|@oSn}|inwLNqSHek6J9j2aEox_XMCItdOMo(36ADQwDQjQl zsYANVJAu$t0ZUnC+C~o1(A3mCytl8Pb9f!kAV7)J=;7P8WFzh0q~N?qR<3h(wh1o%Tfxtqjfyo9WGwP#>GW2C|>>&zYockj-UgZ=utwu z;0C6FSJpAqqU6t?KL=RJ1>i42w^Yw!tuGc5Oe_8InV{fPtG<{nzr!|E;GTks)4h5% zzSgkZcDYwOY~DCO+UR7qzEA!_`J@Knb5y~{~jq+r+H&* zYXywmCFqGAQdGp^e=%!oP;H6a;=cVs&~0-iF6cIIzTL&e#TzKr@$VOvkGD^$Ja6O8 zs$l*FKDP-}zT-P6Nu-U-2a`Vt8p9o?Yazu7E^ zpN$O*lY~tI2omtsj{yW)Ew*?>#>AZM0w6s|V(8uf!1Z`Lq{9pd1&2>m)Z Date: Fri, 26 Apr 2024 10:39:45 +0300 Subject: [PATCH 30/98] Update student.ipynb --- student.ipynb | 34 ++++++++++++++++++++++++++++++++++ 1 file changed, 34 insertions(+) diff --git a/student.ipynb b/student.ipynb index afadf98f..0e849678 100644 --- a/student.ipynb +++ b/student.ipynb @@ -2104,6 +2104,40 @@ "df['condition'] = df['condition'].map(condition_mapping)\n", "df['condition'].value_counts()" ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 21420 entries, 0 to 21596\n", + "Data columns (total 11 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 id 21420 non-null int64 \n", + " 1 price 21420 non-null float64\n", + " 2 bedrooms 21420 non-null int64 \n", + " 3 bathrooms 21420 non-null float64\n", + " 4 sqft_living 21420 non-null int64 \n", + " 5 sqft_lot 21420 non-null int64 \n", + " 6 floors 21420 non-null float64\n", + " 7 waterfront 21420 non-null float64\n", + " 8 condition 21420 non-null int64 \n", + " 9 grade 21420 non-null int32 \n", + " 10 yr_built 21420 non-null int64 \n", + "dtypes: float64(4), int32(1), int64(6)\n", + "memory usage: 1.9 MB\n" + ] + } + ], + "source": [ + "df.info()" + ] } ], "metadata": { From a1be50bf7ba2b35e2353d2cf29b068744a932254 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 10:41:37 +0300 Subject: [PATCH 31/98] Update student.ipynb --- student.ipynb | 77 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 77 insertions(+) diff --git a/student.ipynb b/student.ipynb index 0e849678..513c2bfd 100644 --- a/student.ipynb +++ b/student.ipynb @@ -2138,6 +2138,83 @@ "source": [ "df.info()" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Outliers:\n", + "\n", + "The dataset contains both single-family and multi-family units. For instance, those with more than 8 bedrooms or more than 5 bathrooms. To better analyze these distinct building types, we've opted to segregate them. Therefore, we've chosen to eliminate rows containing any outlier values.\"" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "# define function to describe outliers\n", + "def outliers_description(df):\n", + " print('Outlier Data Description')\n", + " describe = df.describe()\n", + "\n", + " describe.loc['+3_std'] = describe.loc['mean'] + (describe.loc['std'] * 3)\n", + " describe.loc['-3_std'] = describe.loc['mean'] - (describe.loc['std'] * 3)\n", + " print(describe)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Outlier Data Description\n", + " id price bedrooms bathrooms sqft_living \\\n", + "count 2.142000e+04 2.142000e+04 21420.000000 21420.000000 21420.000000 \n", + "mean 4.580940e+09 5.407393e+05 3.373950 2.118429 2083.132633 \n", + "std 2.876761e+09 3.679311e+05 0.925405 0.768720 918.808412 \n", + "min 1.000102e+06 7.800000e+04 1.000000 0.500000 370.000000 \n", + "25% 2.123537e+09 3.225000e+05 3.000000 1.750000 1430.000000 \n", + "50% 3.904921e+09 4.500000e+05 3.000000 2.250000 1920.000000 \n", + "75% 7.308900e+09 6.450000e+05 4.000000 2.500000 2550.000000 \n", + "max 9.900000e+09 7.700000e+06 33.000000 8.000000 13540.000000 \n", + "+3_std 1.321122e+10 1.644533e+06 6.150163 4.424589 4839.557868 \n", + "-3_std -4.049344e+09 -5.630540e+05 0.597736 -0.187731 -673.292602 \n", + "\n", + " sqft_lot floors waterfront condition grade \\\n", + "count 2.142000e+04 21420.000000 21420.000000 21420.000000 21420.000000 \n", + "mean 1.512804e+04 1.495985 0.006816 3.410784 7.662792 \n", + "std 4.153080e+04 0.540081 0.082280 0.650035 1.171971 \n", + "min 5.200000e+02 1.000000 0.000000 1.000000 3.000000 \n", + "25% 5.040000e+03 1.000000 0.000000 3.000000 7.000000 \n", + "50% 7.614000e+03 1.500000 0.000000 3.000000 7.000000 \n", + "75% 1.069050e+04 2.000000 0.000000 4.000000 8.000000 \n", + "max 1.651359e+06 3.500000 1.000000 5.000000 13.000000 \n", + "+3_std 1.397204e+05 3.116228 0.253655 5.360890 11.178705 \n", + "-3_std -1.094644e+05 -0.124258 -0.240022 1.460679 4.146878 \n", + "\n", + " yr_built \n", + "count 21420.000000 \n", + "mean 1971.092997 \n", + "std 29.387141 \n", + "min 1900.000000 \n", + "25% 1952.000000 \n", + "50% 1975.000000 \n", + "75% 1997.000000 \n", + "max 2015.000000 \n", + "+3_std 2059.254419 \n", + "-3_std 1882.931575 \n" + ] + } + ], + "source": [ + "outliers_description(df)" + ] } ], "metadata": { From 5a20098d60edb70ebd99e6c2325ca3025e697841 Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 10:43:31 +0300 Subject: [PATCH 32/98] Update student.ipynb --- student.ipynb | 32 ++++++++++++++++++++++++++++++++ 1 file changed, 32 insertions(+) diff --git a/student.ipynb b/student.ipynb index 513c2bfd..c3767588 100644 --- a/student.ipynb +++ b/student.ipynb @@ -2215,6 +2215,38 @@ "source": [ "outliers_description(df)" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Removing Outliers Beyond 3 Standard Deviations from the Mean" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "def remove_outliers(df, features):\n", + " print(\"Outliers Removed Count\")\n", + " \n", + " x = len(df)\n", + " \n", + " for feature in features:\n", + " df[feature + '_zscore'] = np.abs(stats.zscore(df[feature]))\n", + " y = df.loc[np.abs(df[feature + '_zscore']) > 3]\n", + " percent = round((len(y) * 100) / x, 3)\n", + " \n", + " print(len(y), \"outliers removed for\", feature)\n", + " \n", + " df = df.loc[np.abs(df[feature + '_zscore']) < 3]\n", + " \n", + " df = df.drop([feature + '_zscore'], axis=1)\n", + " \n", + " return df" + ] } ], "metadata": { From a35579e0fea16a7ca871bbf6d78a958cad4b725e Mon Sep 17 00:00:00 2001 From: clydeochieng <107258512+clydeochieng@users.noreply.github.com> Date: Fri, 26 Apr 2024 10:49:03 +0300 Subject: [PATCH 33/98] Update student.ipynb --- student.ipynb | 69 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 69 insertions(+) diff --git a/student.ipynb b/student.ipynb index c3767588..eb155999 100644 --- a/student.ipynb +++ b/student.ipynb @@ -2247,6 +2247,75 @@ " \n", " return df" ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Outliers Removed Count\n", + "62 outliers removed for bedrooms\n", + "171 outliers removed for bathrooms\n", + "209 outliers removed for sqft_living\n" + ] + } + ], + "source": [ + "outliers = df[['bedrooms', 'bathrooms', 'sqft_living']]\n", + "df = remove_outliers(df, outliers)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "