diff --git a/.gitignore b/.gitignore index 2c83e7d..480bab8 100644 --- a/.gitignore +++ b/.gitignore @@ -12,3 +12,8 @@ traj.* *.sub* *.dat *log* +*.h5 +*.vtu +*.png +./output/ +./tests/data/ \ No newline at end of file diff --git a/compositionspace/datautils.py b/compositionspace/datautils.py index 7e232b4..102f517 100755 --- a/compositionspace/datautils.py +++ b/compositionspace/datautils.py @@ -230,7 +230,7 @@ def get_apt_dataframe(self): if filename.endswith(".RRNG"): path = os.path.join(self.params["input_path"], filename) - ions,rrngs = self.get_rrng(rrange_file) + ions,rrngs = self.get_rrng(path) return (df_Mass_POS_lst, file_name_lst, ions, rrngs) @@ -278,6 +278,7 @@ def get_big_slices(self): group1 = hdf.create_group("group_xyz_Da_spec") group1.attrs["columns"] = ["x","y","z","Da","spec"] group1.attrs["spec_name_order"] = list(c) + self.chemical_species = list(c) # Added A.S. 2024.06.25 sublength_x= abs((max(sorted_df['z'])-min(sorted_df['z']))/self.params["n_big_slices"]) start = min(sorted_df['z']) diff --git a/compositionspace/segmentation.py b/compositionspace/segmentation.py index a332f78..45d17c4 100755 --- a/compositionspace/segmentation.py +++ b/compositionspace/segmentation.py @@ -13,6 +13,8 @@ from pyevtk.hl import gridToVTK#, pointsToVTKAsTIN import yaml import pyvista as pv +from sklearn.mixture import GaussianMixture +from sklearn.ensemble import RandomForestClassifier class CompositionClustering(): @@ -273,4 +275,95 @@ def plot3d(self, **kwargs): grid.plot(**kwargs, jupyter_backend="panel") + def plot_relative_importance(self, feature_importances, feature_names, sorted_idx): + # Plotting the feature importances + # Create the vertical bar graph + plt.figure(figsize=(10, 12)) + plt.title("Feature Importances") + plt.bar(range(len(sorted_idx)), feature_importances[sorted_idx], align="center") + plt.xticks(range(len(sorted_idx)), [feature_names[i] for i in sorted_idx], rotation=45) + plt.ylabel("Relative Importance") + plt.xlabel("Features") + plt.show() + + def auto_phase_assign(self, Slices_file, Vox_ratios_file, + initial_guess_phases, plot=False, + print_importance=False, + modified_comp_analysis=None, + n_trunc_spec=None): + + + with h5py.File(Slices_file , "r") as hdfr: + group1 = hdfr.get("group_xyz_Da_spec") + Chem_list =list(list(group1.attrs.values())[1]) + #hdfr['Group_xyz_Da_spec'].attrs.keys() + + + with h5py.File(Vox_ratios_file , "r") as hdfr: + Ratios = np.array(hdfr.get("vox_ratios")) + group = hdfr.get("vox_ratios") + Ratios_colomns = list(list(hdfr.attrs.values())[0]) + + + Ratios = pd.DataFrame(data=Ratios, columns=Ratios_colomns) + + X = Ratios.drop(['Total_no','vox'], axis=1) + + gm = GaussianMixture(n_components=initial_guess_phases, max_iter=100000,verbose=0) + gm.fit(X) + y_pred=gm.predict(X) + Ratios = pd.DataFrame(data=X.values, columns=Chem_list) + + + # Replace this with your actual dataset loading code + X_ = X.values + y = y_pred + # Initialize the Random Forest Classifier + rf = RandomForestClassifier(n_estimators=100, random_state=42) + + # Fit the model to the data + rf.fit(X_, y) + # Get the feature importances + feature_importances = rf.feature_importances_ + + # Sort the features by their importances + #sorted_idx = np.argsort(feature_importances) + sorted_idx = feature_importances.argsort()[::-1] + + + + # Print sorted feature importances along with their corresponding feature numbers + feature_names = Chem_list + + + if plot==True: + self.plot_relative_importance(feature_importances, feature_names, sorted_idx) + + if print_importance == True: + for index in sorted_idx: + print(f" {feature_names[index]} - Importance: {feature_importances[index]}") + + # BIC analysis on modified compositions + if modified_comp_analysis == True: + + #n_trunc_spec = 2 + X_modified = X.values[:, sorted_idx][:,0:n_trunc_spec] + gm_scores=[] + aics=[] + bics=[] + + n_clusters=list(range(1,11)) + for n_cluster in tqdm(n_clusters): + gm = GaussianMixture(n_components=n_cluster,verbose=0) + gm.fit(X_modified) + y_pred=gm.predict(X_modified) + #gm_scores.append(homogeneity_score(y,y_pred)) + aics.append(gm.aic(X_modified)) + bics.append(gm.bic(X_modified)) + + plt.plot(n_clusters, bics, "-o",label="BIC") + + return sorted_idx + + diff --git a/tests/20230303_Workflow.ipynb b/tests/20230303_Workflow.ipynb index e33e12f..60d127a 100644 --- a/tests/20230303_Workflow.ipynb +++ b/tests/20230303_Workflow.ipynb @@ -10,6 +10,7 @@ { "cell_type": "code", "execution_count": 1, + "id": "1f1cde7e", "metadata": {}, "outputs": [], "source": [ @@ -18,11 +19,37 @@ "import os\n", "import json \n", "import pandas as pd\n", - "import matplotlib.pylab as plt" + "import matplotlib.pylab as plt\n", + "import h5py\n", + "import numpy as np\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e40bd0fb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Current directory : /Users/alaukiksaxena/Calculations/20240625_Nfdi/CompositionSpaceNFDI/tests\n", + "Changed to directory : /Users/alaukiksaxena/Calculations/20240625_Nfdi/CompositionSpaceNFDI\n" + ] + } + ], + "source": [ + "print(\"Current directory :\", os.getcwd())\n", + "test_directory = os.getcwd()\n", + "os.chdir(\"./..\")\n", + "print(\"Changed to directory :\", os.getcwd())\n", + "main_directory = os.getcwd()" ] }, { "cell_type": "markdown", + "id": "5700e06d", "metadata": {}, "source": [ "# Import tools" @@ -30,7 +57,8 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, + "id": "495168f1", "metadata": {}, "outputs": [], "source": [ @@ -41,6 +69,7 @@ }, { "cell_type": "markdown", + "id": "3b2d4446", "metadata": {}, "source": [ "### Read the inputs (experiment parameters)" @@ -48,6 +77,7 @@ }, { "cell_type": "markdown", + "id": "14e682b7", "metadata": {}, "source": [ "# 1. Pre-processing\n", @@ -83,7 +113,8 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, + "id": "9928551e", "metadata": { "tags": [] }, @@ -91,7 +122,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b64b0c5f24f144b490ce165900b6fa87", + "model_id": "2b9ba92d976b40b59ea695464d276413", "version_major": 2, "version_minor": 0 }, @@ -105,7 +136,21 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1a599850aef2440fb137a82ed2f879df", + "model_id": "dad4dbd111b3402e9f9a15a3331f9337", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Creating chunks: 0%| | 0/10 [00:00" ] @@ -271,13 +357,14 @@ } ], "source": [ - "comps = CompositionClustering(\"experiment_params.yaml\")\n", + "comps = CompositionClustering(test_directory + \"/experiment_params.yaml\")\n", "res = comps.get_PCA_cumsum(data.voxel_ratio_file, data.voxel_files[0])" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, + "id": "4234e10a", "metadata": { "tags": [] }, @@ -285,7 +372,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "99464512a9084399b597c28ed9c758cc", + "model_id": "a224c50b22884db1a0ae4032a3cf9d21", "version_major": 2, "version_minor": 0 }, @@ -298,7 +385,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -313,7 +400,112 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 14, + "id": "c8676291", + "metadata": {}, + "outputs": [], + "source": [ + "initial_guess_phases = 3\n", + "plot=True\n", + "print_importance= True\n", + "modified_comp_analysis=True\n", + "n_trunc_spec=2" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "03a1582a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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HDh3yGWFNBLC1VHzaYdOmTQUwAACgXJcmuQkHAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGan2ADZmzJjo3LlzNGjQILp37x4vvPDCaus+/PDDsddee0Xr1q2jadOm0bNnz3jyySdL1XvooYdiyy23jPr168eWW24ZjzzyyDotFwAAoDJUawCbMGFCDBkyJEaMGBFTp06NPn36RL9+/aKgoKDM+s8//3zstdde8fjjj8err74au+++exxwwAExderUfJ3JkyfHgAED4rjjjos33ngjjjvuuDjiiCPiP//5z1ovFwAAoDLkUkqpuha+0047xfbbbx+33HJLvqxLly5x8MEHx6hRo8rVxlZbbRUDBgyISy65JCIiBgwYEIsWLYp//OMf+Tr77LNPNG/ePMaPH19py120aFE0a9YsFi5cGE2bNi3XPAAAQM1TkWxQbSNgy5Yti1dffTX69u1borxv377x4osvlquNoqKiWLx4cbRo0SJfNnny5FJt7r333vk213a5hYWFsWjRohITAABARVRbAJs3b16sXLky2rZtW6K8bdu2MWfOnHK18dvf/jaWLFkSRxxxRL5szpw5a2xzbZc7atSoaNasWX7q0KFDufoIAABQrNpvwpHL5Ur8nVIqVVaW8ePHx6WXXhoTJkyINm3aVLjNii53+PDhsXDhwvw0c+bM7+0jAADAqupU14JbtWoVtWvXLjXqNHfu3FKjU981YcKEOPnkk+PPf/5z7LnnniUea9eu3RrbXNvl1q9fP+rXr/+96wUAALA61TYCVq9evejevXtMnDixRPnEiROjV69eq51v/PjxccIJJ8R9990X++23X6nHe/bsWarNp556Kt/m2i4XAABgXVXbCFhExLBhw+K4446LHj16RM+ePeP222+PgoKCGDx4cER8e9rfrFmzYty4cRHxbfg6/vjj44Ybboidd945P4rVsGHDaNasWUREnHvuubHLLrvE1VdfHQcddFA8+uij8fTTT8ekSZPKvVwAAICqUK0BbMCAATF//vy4/PLLY/bs2dG1a9d4/PHHo2PHjhERMXv27BK/zXXbbbfFihUr4swzz4wzzzwzXz5w4MAYO3ZsRET06tUr7r///rjooovi4osvjk022SQmTJgQO+20U7mXCwAAUBWq9XfAfsj8DhgAABDxA/kdMAAAgB8bAQwAACAjAhgAAEBGqvUmHFSeThc+Vmltzbiq9O39AQCAdWcEDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABmpU90d4H9fpwsfq7S2Zly1X6W1BQAAPzRGwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyEi1B7AxY8ZE586do0GDBtG9e/d44YUXVlt39uzZcfTRR8fmm28etWrViiFDhpSqs9tuu0Uulys17bfffvk6l156aanH27VrVxWrBwAAkFetAWzChAkxZMiQGDFiREydOjX69OkT/fr1i4KCgjLrFxYWRuvWrWPEiBHRrVu3Mus8/PDDMXv27Pz09ttvR+3atePwww8vUW+rrbYqUe+tt96q9PUDAABYVZ3qXPj1118fJ598cgwaNCgiIkaPHh1PPvlk3HLLLTFq1KhS9Tt16hQ33HBDRETcfffdZbbZokWLEn/ff//90ahRo1IBrE6dOka9AACATFXbCNiyZcvi1Vdfjb59+5Yo79u3b7z44ouVtpy77rorjjzyyGjcuHGJ8g8++CDat28fnTt3jiOPPDI+/vjjNbZTWFgYixYtKjEBAABURLUFsHnz5sXKlSujbdu2Jcrbtm0bc+bMqZRlvPzyy/H222/nR9iK7bTTTjFu3Lh48skn44477og5c+ZEr169Yv78+atta9SoUdGsWbP81KFDh0rpIwAA8ONR7TfhyOVyJf5OKZUqW1t33XVXdO3aNXbccccS5f369Yv+/fvH1ltvHXvuuWc89thjERHxhz/8YbVtDR8+PBYuXJifZs6cWSl9BAAAfjyq7RqwVq1aRe3atUuNds2dO7fUqNja+Prrr+P++++Pyy+//HvrNm7cOLbeeuv44IMPVlunfv36Ub9+/XXuFwAA8ONVbSNg9erVi+7du8fEiRNLlE+cODF69eq1zu0/8MADUVhYGMcee+z31i0sLIxp06bFBhtssM7LBQAAWJ1qvQvisGHD4rjjjosePXpEz5494/bbb4+CgoIYPHhwRHx72t+sWbNi3Lhx+Xlef/31iIj46quv4osvvojXX3896tWrF1tuuWWJtu+66644+OCDo2XLlqWWe95558UBBxwQG220UcydOzd+/etfx6JFi2LgwIFVt7IAAMCPXrUGsAEDBsT8+fPj8ssvj9mzZ0fXrl3j8ccfj44dO0bEtz+8/N3fBNtuu+3y/3/11Vfjvvvui44dO8aMGTPy5e+//35MmjQpnnrqqTKX++mnn8ZRRx0V8+bNi9atW8fOO+8cL730Un65AAAAVSGXUkrV3YkfokWLFkWzZs1i4cKF0bRp0+ruTnS68LFKa2vGVftl1jYAAPzQVSQbVPtdEAEAAH4sBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMhIneruAD9unS58rFLamXHVfpXSDgAAVCUjYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEbqVHcHoKp0uvCxSmlnxlX7VUo7AABgBAwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkpNoD2JgxY6Jz587RoEGD6N69e7zwwgurrTt79uw4+uijY/PNN49atWrFkCFDStUZO3Zs5HK5UtPSpUvXerkAAACVoVoD2IQJE2LIkCExYsSImDp1avTp0yf69esXBQUFZdYvLCyM1q1bx4gRI6Jbt26rbbdp06Yxe/bsElODBg3WerkAAACVoVoD2PXXXx8nn3xyDBo0KLp06RKjR4+ODh06xC233FJm/U6dOsUNN9wQxx9/fDRr1my17eZyuWjXrl2JaV2WCwAAUBmqLYAtW7YsXn311ejbt2+J8r59+8aLL764Tm1/9dVX0bFjx/jJT34S+++/f0ydOnWdl1tYWBiLFi0qMQEAAFREtQWwefPmxcqVK6Nt27Ylytu2bRtz5sxZ63a32GKLGDt2bPz1r3+N8ePHR4MGDaJ3797xwQcfrNNyR40aFc2aNctPHTp0WOs+AgAAP07VfhOOXC5X4u+UUqmyith5553j2GOPjW7dukWfPn3igQceiM022yx+//vfr9Nyhw8fHgsXLsxPM2fOXOs+AgAAP051qmvBrVq1itq1a5cadZo7d26p0al1UatWrdhhhx3yI2Bru9z69etH/fr1K61fAADAj0+1jYDVq1cvunfvHhMnTixRPnHixOjVq1elLSelFK+//npssMEGmS4XAADgu6ptBCwiYtiwYXHcccdFjx49omfPnnH77bdHQUFBDB48OCK+Pe1v1qxZMW7cuPw8r7/+ekR8e6ONL774Il5//fWoV69ebLnllhERcdlll8XOO+8cP/3pT2PRokVx4403xuuvvx4333xzuZcLAABQFao1gA0YMCDmz58fl19+ecyePTu6du0ajz/+eHTs2DEivv3h5e/+Ntd2222X//+rr74a9913X3Ts2DFmzJgRERFffvllnHrqqTFnzpxo1qxZbLfddvH888/HjjvuWO7lAgAAVIVcSilVdyd+iBYtWhTNmjWLhQsXRtOmTau7O9Hpwscqra0ZV+33g2v7u+1WddsAAFCsItmg2u+CCAAA8GMhgAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJCRag9gY8aMic6dO0eDBg2ie/fu8cILL6y27uzZs+Poo4+OzTffPGrVqhVDhgwpVeeOO+6IPn36RPPmzaN58+ax5557xssvv1yizqWXXhq5XK7E1K5du8peNQAAgBKqNYBNmDAhhgwZEiNGjIipU6dGnz59ol+/flFQUFBm/cLCwmjdunWMGDEiunXrVmadZ599No466qh45plnYvLkybHRRhtF3759Y9asWSXqbbXVVjF79uz89NZbb1X6+gEAAKyqWgPY9ddfHyeffHIMGjQounTpEqNHj44OHTrELbfcUmb9Tp06xQ033BDHH398NGvWrMw69957b5xxxhmx7bbbxhZbbBF33HFHFBUVxT//+c8S9erUqRPt2rXLT61bt6709QMAAFhVtQWwZcuWxauvvhp9+/YtUd63b9948cUXK205X3/9dSxfvjxatGhRovyDDz6I9u3bR+fOnePII4+Mjz/+eI3tFBYWxqJFi0pMAAAAFVFtAWzevHmxcuXKaNu2bYnytm3bxpw5cyptORdeeGFsuOGGseeee+bLdtpppxg3blw8+eSTcccdd8ScOXOiV69eMX/+/NW2M2rUqGjWrFl+6tChQ6X1EQAA+HGo9ptw5HK5En+nlEqVra1rrrkmxo8fHw8//HA0aNAgX96vX7/o379/bL311rHnnnvGY489FhERf/jDH1bb1vDhw2PhwoX5aebMmZXSRwAA4MejTnUtuFWrVlG7du1So11z584tNSq2Nq677rr4zW9+E08//XRss802a6zbuHHj2HrrreODDz5YbZ369etH/fr117lfAADAj1e1jYDVq1cvunfvHhMnTixRPnHixOjVq9c6tX3ttdfGFVdcEU888UT06NHje+sXFhbGtGnTYoMNNlin5QIAAKxJtY2ARUQMGzYsjjvuuOjRo0f07Nkzbr/99igoKIjBgwdHxLen/c2aNSvGjRuXn+f111+PiIivvvoqvvjii3j99dejXr16seWWW0bEt6cdXnzxxXHfffdFp06d8iNsTZo0iSZNmkRExHnnnRcHHHBAbLTRRjF37tz49a9/HYsWLYqBAwdmuPYAAMCPTbUGsAEDBsT8+fPj8ssvj9mzZ0fXrl3j8ccfj44dO0bEtz+8/N3fBNtuu+3y/3/11Vfjvvvui44dO8aMGTMi4tsfdl62bFkcdthhJeYbOXJkXHrppRER8emnn8ZRRx0V8+bNi9atW8fOO+8cL730Un65AAAAVaFaA1hExBlnnBFnnHFGmY+NHTu2VFlKaY3tFQexNbn//vvL0zUAAIBKVe13QQQAAPixEMAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADKyVgHsyy+/jDvvvDOGDx8eCxYsiIiI1157LWbNmlWpnQMAAKhJ6lR0hjfffDP23HPPaNasWcyYMSNOOeWUaNGiRTzyyCPxySefxLhx46qinwAAAD94FR4BGzZsWJxwwgnxwQcfRIMGDfLl/fr1i+eff75SOwcAAFCTVDiAvfLKK3HaaaeVKt9www1jzpw5ldIpAACAmqjCAaxBgwaxaNGiUuXvvfdetG7dulI6BQAAUBNVOIAddNBBcfnll8fy5csjIiKXy0VBQUFceOGF0b9//0rvIAAAQE1R4QB23XXXxRdffBFt2rSJb775JnbdddfYdNNNY7311osrr7yyKvoIAABQI1T4LohNmzaNSZMmxb/+9a947bXXoqioKLbffvvYc889q6J/AAAANUaFA1ixPfbYI/bYY4/K7AsAAECNVuFTEM8555y48cYbS5XfdNNNMWTIkMroEwAAQI1U4QD20EMPRe/evUuV9+rVKx588MFK6RQAAEBNVOEANn/+/GjWrFmp8qZNm8a8efMqpVMAAAA1UYUD2KabbhpPPPFEqfJ//OMfsfHGG1dKpwAAAGqiCt+EY9iwYXHWWWfFF198kb8Jxz//+c/47W9/G6NHj67s/gEAANQYFQ5gJ510UhQWFsaVV14ZV1xxRUREdOrUKW655ZY4/vjjK72DAAAANcVa3Yb+9NNPj9NPPz2++OKLaNiwYTRp0qSy+wUAAFDjrPXvgEVEtG7durL6AQAAUONV+CYcn3/+eRx33HHRvn37qFOnTtSuXbvEBAAAQNkqPAJ2wgknREFBQVx88cWxwQYbRC6Xq4p+AQAA1DgVDmCTJk2KF154Ibbddtsq6A4AAEDNVeFTEDt06BApparoCwAAQI1W4QA2evTouPDCC2PGjBlV0B0AAICaq8KnIA4YMCC+/vrr2GSTTaJRo0ZRt27dEo8vWLCg0joHAABQk1Q4gI0ePboKugEAAFDzVTiADRw4sCr6AQAAUOOt0w8xf/PNN7F8+fISZU2bNl2nDgEAANRUFb4Jx5IlS+Kss86KNm3aRJMmTaJ58+YlJgAAAMpW4QB2wQUXxL/+9a8YM2ZM1K9fP+6888647LLLon379jFu3Liq6CMAAECNUOFTEP/2t7/FuHHjYrfddouTTjop+vTpE5tuuml07Ngx7r333jjmmGOqop8AAAA/eBUeAVuwYEF07tw5Ir693qv4tvM/+9nP4vnnn6/c3gEAANQgFQ5gG2+8cf5HmLfccst44IEHIuLbkbH111+/MvsGAABQo1Q4gJ144onxxhtvRETE8OHD89eCDR06NM4///xK7yAAAEBNUeFrwIYOHZr//+677x7vvvtuTJkyJTbZZJPo1q1bpXYOAACgJqnwCNi4ceOisLAw//dGG20Uhx56aHTp0sVdEAEAANZgrU5BXLhwYanyxYsXx4knnlgpnQIAAKiJKhzAUkqRy+VKlX/66afRrFmzSukUAABATVTua8C22267yOVykcvl4uc//3nUqfP/Z125cmVMnz499tlnnyrpJAAAQE1Q7gB28MEHR0TE66+/HnvvvXc0adIk/1i9evWiU6dO0b9//0rvIAAAQE1R7gA2cuTIWLlyZXTs2DH23nvv2GCDDaqyXwAAADVOha4Bq127dgwePDiWLl1aVf0BAACosSp8E46tt946Pv7446roCwAAQI1W4QB25ZVXxnnnnRd///vfY/bs2bFo0aISEwAAAGUr9zVgxYrvdHjggQeWuB198e3pV65cWXm9AwAAqEEqHMCeeeaZqugHAABAjVfhALbrrrtWRT8AAABqvAoHsIiIL7/8Mu66666YNm1a5HK52HLLLeOkk06KZs2aVXb/AAAAaowK34RjypQpsckmm8Tvfve7WLBgQcybNy+uv/762GSTTeK1116rij4CAADUCBUeARs6dGgceOCBcccdd0SdOt/OvmLFihg0aFAMGTIknn/++UrvJAAAQE1Q4QA2ZcqUEuErIqJOnTpxwQUXRI8ePSq1cwAAADVJhU9BbNq0aRQUFJQqnzlzZqy33nqV0ikAAICaqMIBbMCAAXHyySfHhAkTYubMmfHpp5/G/fffH4MGDYqjjjqqKvoIAABQI1T4FMTrrrsucrlcHH/88bFixYqIiKhbt26cfvrpcdVVV1V6BwEAAGqKCgewevXqxQ033BCjRo2Kjz76KFJKsemmm0ajRo2qon8AAAA1xlr9DlhERKNGjWL99dePXC4nfAEAAJRDha8BW7FiRVx88cXRrFmz6NSpU3Ts2DGaNWsWF110USxfvrwq+ggAAFAjVHgE7KyzzopHHnkkrrnmmujZs2dEREyePDkuvfTSmDdvXtx6662V3kkAAICaoMIBbPz48XH//fdHv3798mXbbLNNbLTRRnHkkUcKYAAAAKtR4VMQGzRoEJ06dSpV3qlTp6hXr15l9AkAAKBGqnAAO/PMM+OKK66IwsLCfFlhYWFceeWVcdZZZ1Vq5wAAAGqSCp+COHXq1PjnP/8ZP/nJT6Jbt24REfHGG2/EsmXL4uc//3kceuih+boPP/xw5fUUAADgB67CAWz99deP/v37lyjr0KFDpXUIAACgpqpwALvnnnuqoh8AAAA1XoWvAQMAAGDtVHgEbP78+XHJJZfEM888E3Pnzo2ioqISjy9YsKDSOgcAAFCTVDiAHXvssfHRRx/FySefHG3bto1cLlcV/QIAAKhxKhzAJk2aFJMmTcrfAREAAIDyqfA1YFtssUV88803VdEXAACAGq3CAWzMmDExYsSIeO6552L+/PmxaNGiEhMAAABlW6vfAVu4cGHsscceJcpTSpHL5WLlypWV1jkAAICapMIB7Jhjjol69erFfffd5yYcAAAAFVDhAPb222/H1KlTY/PNN6+K/gAAANRYFb4GrEePHjFz5syq6AsAAECNVuERsLPPPjvOPffcOP/882PrrbeOunXrlnh8m222qbTOAQAA1CQVDmADBgyIiIiTTjopX5bL5dyEAwAA4HtUOIBNnz69KvoBAABQ41U4gHXs2LEq+gEAAFDjlTuA/fWvfy1XvQMPPHCtOwMAAFCTlTuAHXzwwd9bxzVgAAAAq1fuAFZUVFSV/QAAAKjxKvw7YAAAAKwdAQwAACAjAhgAAEBGqj2AjRkzJjp37hwNGjSI7t27xwsvvLDaurNnz46jjz46Nt9886hVq1YMGTKkzHoPPfRQbLnlllG/fv3Ycsst45FHHlmn5QIAAFSGag1gEyZMiCFDhsSIESNi6tSp0adPn+jXr18UFBSUWb+wsDBat24dI0aMiG7dupVZZ/LkyTFgwIA47rjj4o033ojjjjsujjjiiPjPf/6z1ssFAACoDGsVwL788su48847Y/jw4bFgwYKIiHjttddi1qxZFWrn+uuvj5NPPjkGDRoUXbp0idGjR0eHDh3illtuKbN+p06d4oYbbojjjz8+mjVrVmad0aNHx1577RXDhw+PLbbYIoYPHx4///nPY/To0Wu9XAAAgMpQ4QD25ptvxmabbRZXX311XHfddfHll19GRMQjjzwSw4cPL3c7y5Yti1dffTX69u1borxv377x4osvVrRbeZMnTy7V5t57751vc22XW1hYGIsWLSoxAQAAVESFA9iwYcPihBNOiA8++CAaNGiQL+/Xr188//zz5W5n3rx5sXLlymjbtm2J8rZt28acOXMq2q28OXPmrLHNtV3uqFGjolmzZvmpQ4cOa91HAADgx6nCAeyVV16J0047rVT5hhtuuFbBKZfLlfg7pVSqrCrarOhyhw8fHgsXLsxPM2fOXKc+AgAAPz51KjpDgwYNyjz97r333ovWrVuXu51WrVpF7dq1S4W2uXPnlhqdqoh27dqtsc21XW79+vWjfv36a90vAACACo+AHXTQQXH55ZfH8uXLI+LbkaSCgoK48MILo3///uVup169etG9e/eYOHFiifKJEydGr169KtqtvJ49e5Zq86mnnsq3WVXLBQAA+D4VHgG77rrrYt999402bdrEN998E7vuumvMmTMnevbsGVdeeWWF2ho2bFgcd9xx0aNHj+jZs2fcfvvtUVBQEIMHD46Ib0/7mzVrVowbNy4/z+uvvx4REV999VV88cUX8frrr0e9evViyy23jIiIc889N3bZZZe4+uqr46CDDopHH300nn766Zg0aVK5lwsAAFAVKhzAmjZtGpMmTYp//etf8dprr0VRUVFsv/32seeee1Z44QMGDIj58+fH5ZdfHrNnz46uXbvG448/Hh07doyIb394+bu/zbXddtvl///qq6/GfffdFx07dowZM2ZERESvXr3i/vvvj4suuiguvvji2GSTTWLChAmx0047lXu5AAAAVSGXUkoVmWHGjBnRqVOnKurOD8eiRYuiWbNmsXDhwmjatGl1dyc6XfhYpbU146r9fnBtf7fdqm4bAACKVSQbVPgasI033jh+9rOfxW233Zb/EWYAAAC+X4UD2JQpU6Jnz57x61//Otq3bx8HHXRQ/PnPf47CwsKq6B8AAECNUeEAtv3228e1114bBQUF8Y9//CPatGkTp512WrRp0yZOOumkqugjAABAjVDhAFYsl8vF7rvvHnfccUc8/fTTsfHGG8cf/vCHyuwbAABAjbLWAWzmzJlxzTXXxLbbbhs77LBDNG7cOG666abK7BsAAECNUuHb0N9+++1x7733xr///e/YfPPN45hjjom//OUv7owIAADwPSocwK644oo48sgj44Ybbohtt922CroEAABQM1U4gBUUFEQul6uKvgAAANRo5Qpgb775ZnTt2jVq1aoVb7311hrrbrPNNpXSMQAAgJqmXAFs2223jTlz5kSbNm1i2223jVwuFyml/OPFf+dyuVi5cmWVdRYAAOCHrFwBbPr06dG6dev8/wEAAKi4cgWwjh075v//ySefRK9evaJOnZKzrlixIl588cUSdQEAAPj/Kvw7YLvvvnssWLCgVPnChQtj9913r5ROAQAA1EQVDmDF13p91/z586Nx48aV0ikAAICaqNy3oT/00EMj4tsbbpxwwglRv379/GMrV66MN998M3r16lX5PQQAAKghyh3AmjVrFhHfjoCtt9560bBhw/xj9erVi5133jlOOeWUyu8hAABADVHuAHbPPfdERESnTp3ivPPOc7ohAABABZU7gBUbOXJkVfQDAACgxqtwAIuIePDBB+OBBx6IgoKCWLZsWYnHXnvttUrpGAAAQE1T4bsg3njjjXHiiSdGmzZtYurUqbHjjjtGy5Yt4+OPP45+/fpVRR8BAABqhAoHsDFjxsTtt98eN910U9SrVy8uuOCCmDhxYpxzzjmxcOHCqugjAABAjVDhAFZQUJC/3XzDhg1j8eLFERFx3HHHxfjx4yu3dwAAADVIhQNYu3btYv78+RER0bFjx3jppZciImL69OmRUqrc3gEAANQgFQ5ge+yxR/ztb3+LiIiTTz45hg4dGnvttVcMGDAgDjnkkErvIAAAQE1R4bsg3n777VFUVBQREYMHD44WLVrEpEmT4oADDojBgwdXegcBAABqigoHsFq1akWtWv9/4OyII46II444olI7BQAAUBOVK4C9+eab5W5wm222WevOAAAA1GTlCmDbbrtt5HK5773JRi6Xi5UrV1ZKxwAAAGqacgWw6dOnV3U/AAAAarxyBbCOHTtWdT8AAABqvArfhj4i4o9//GP07t072rdvH5988klERIwePToeffTRSu0cAABATVLhAHbLLbfEsGHDYt99940vv/wyf83X+uuvH6NHj67s/gEAANQYFQ5gv//97+OOO+6IESNGRO3atfPlPXr0iLfeeqtSOwcAAFCTVDiATZ8+PbbbbrtS5fXr148lS5ZUSqcAAABqogoHsM6dO8frr79eqvwf//hHbLnllpXRJwAAgBqpXHdBXNX5558fZ555ZixdujRSSvHyyy/H+PHjY9SoUXHnnXdWRR8BAABqhAoHsBNPPDFWrFgRF1xwQXz99ddx9NFHx4Ybbhg33HBDHHnkkVXRRwAAgBqhwgEsIuKUU06JU045JebNmxdFRUXRpk2biIiYNWtWbLjhhpXaQQAAgJpirX4HrFirVq2iTZs2MWfOnDj77LNj0003rax+AQAA1DjlDmBffvllHHPMMdG6deto37593HjjjVFUVBSXXHJJbLzxxvHSSy/F3XffXZV9BQAA+EEr9ymIv/rVr+L555+PgQMHxhNPPBFDhw6NJ554IpYuXRr/+Mc/Ytddd63KfgIAAPzglTuAPfbYY3HPPffEnnvuGWeccUZsuummsdlmm8Xo0aOrsHsAAAA1R7lPQfzss8/yv/O18cYbR4MGDWLQoEFV1jEAAICaptwBrKioKOrWrZv/u3bt2tG4ceMq6RQAAEBNVO5TEFNKccIJJ0T9+vUjImLp0qUxePDgUiHs4YcfrtweAgAA1BDlDmADBw4s8fexxx5b6Z0BAACoycodwO65556q7AcAAECNt04/xAwAAED5CWAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkJE61d0B+CHqdOFjldLOjKv2q5R2AAD4YTACBgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyUu0BbMyYMdG5c+do0KBBdO/ePV544YU11n/uueeie/fu0aBBg9h4443j1ltvLfH4brvtFrlcrtS033775etceumlpR5v165dlawfAABAsWoNYBMmTIghQ4bEiBEjYurUqdGnT5/o169fFBQUlFl/+vTpse+++0afPn1i6tSp8atf/SrOOeeceOihh/J1Hn744Zg9e3Z+evvtt6N27dpx+OGHl2hrq622KlHvrbfeqtJ1BQAAqFOdC7/++uvj5JNPjkGDBkVExOjRo+PJJ5+MW265JUaNGlWq/q233hobbbRRjB49OiIiunTpElOmTInrrrsu+vfvHxERLVq0KDHP/fffH40aNSoVwOrUqWPUCwAAyFS1jYAtW7YsXn311ejbt2+J8r59+8aLL75Y5jyTJ08uVX/vvfeOKVOmxPLly8uc56677oojjzwyGjduXKL8gw8+iPbt20fnzp3jyCOPjI8//niN/S0sLIxFixaVmAAAACqi2gLYvHnzYuXKldG2bdsS5W3bto05c+aUOc+cOXPKrL9ixYqYN29eqfovv/xyvP322/kRtmI77bRTjBs3Lp588sm44447Ys6cOdGrV6+YP3/+avs7atSoaNasWX7q0KFDeVcVAAAgIv4HbsKRy+VK/J1SKlX2ffXLKo/4dvSra9euseOOO5Yo79evX/Tv3z+23nrr2HPPPeOxxx6LiIg//OEPq13u8OHDY+HChflp5syZa14xAACA76i2a8BatWoVtWvXLjXaNXfu3FKjXMXatWtXZv06depEy5YtS5R//fXXcf/998fll1/+vX1p3LhxbL311vHBBx+stk79+vWjfv3639sWAADA6lTbCFi9evWie/fuMXHixBLlEydOjF69epU5T8+ePUvVf+qpp6JHjx5Rt27dEuUPPPBAFBYWxrHHHvu9fSksLIxp06bFBhtsUMG1AAAAKL9qPQVx2LBhceedd8bdd98d06ZNi6FDh0ZBQUEMHjw4Ir497e/444/P1x88eHB88sknMWzYsJg2bVrcfffdcdddd8V5551Xqu277rorDj744FIjYxER5513Xjz33HMxffr0+M9//hOHHXZYLFq0KAYOHFh1KwsAAPzoVett6AcMGBDz58+Pyy+/PGbPnh1du3aNxx9/PDp27BgREbNnzy7xm2CdO3eOxx9/PIYOHRo333xztG/fPm688cb8LeiLvf/++zFp0qR46qmnylzup59+GkcddVTMmzcvWrduHTvvvHO89NJL+eUCAABUhWoNYBERZ5xxRpxxxhllPjZ27NhSZbvuumu89tpra2xzs802y9+coyz3339/hfoIAABQGar9LogAAAA/FgIYAABARgQwAACAjFT7NWBASZ0ufKxS2plx1X6V0g4AAJXHCBgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgI3WquwNAdjpd+FiltDPjqv0qpR0AgB8bI2AAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEaqPYCNGTMmOnfuHA0aNIju3bvHCy+8sMb6zz33XHTv3j0aNGgQG2+8cdx6660lHh87dmzkcrlS09KlS9dpuQAAAOuqWgPYhAkTYsiQITFixIiYOnVq9OnTJ/r16xcFBQVl1p8+fXrsu+++0adPn5g6dWr86le/inPOOSceeuihEvWaNm0as2fPLjE1aNBgrZcLAABQGao1gF1//fVx8sknx6BBg6JLly4xevTo6NChQ9xyyy1l1r/11ltjo402itGjR0eXLl1i0KBBcdJJJ8V1111Xol4ul4t27dqVmNZluQAAAJWh2gLYsmXL4tVXX42+ffuWKO/bt2+8+OKLZc4zefLkUvX33nvvmDJlSixfvjxf9tVXX0XHjh3jJz/5Sey///4xderUdVpuRERhYWEsWrSoxAQAAFAR1RbA5s2bFytXroy2bduWKG/btm3MmTOnzHnmzJlTZv0VK1bEvHnzIiJiiy22iLFjx8Zf//rXGD9+fDRo0CB69+4dH3zwwVovNyJi1KhR0axZs/zUoUOHCq8zAADw41btN+HI5XIl/k4plSr7vvqrlu+8885x7LHHRrdu3aJPnz7xwAMPxGabbRa///3v12m5w4cPj4ULF+anmTNnfv/KAQAArKJOdS24VatWUbt27VKjTnPnzi01OlWsXbt2ZdavU6dOtGzZssx5atWqFTvssEN+BGxtlhsRUb9+/ahfv/73rhcAAMDqVNsIWL169aJ79+4xceLEEuUTJ06MXr16lTlPz549S9V/6qmnokePHlG3bt0y50kpxeuvvx4bbLDBWi8XAACgMlTbCFhExLBhw+K4446LHj16RM+ePeP222+PgoKCGDx4cER8e9rfrFmzYty4cRERMXjw4Ljpppti2LBhccopp8TkyZPjrrvuivHjx+fbvOyyy2LnnXeOn/70p7Fo0aK48cYb4/XXX4+bb7653MsFAACoCtUawAYMGBDz58+Pyy+/PGbPnh1du3aNxx9/PDp27BgREbNnzy7x21ydO3eOxx9/PIYOHRo333xztG/fPm688cbo379/vs6XX34Zp556asyZMyeaNWsW2223XTz//POx4447lnu5AAAAVaFaA1hExBlnnBFnnHFGmY+NHTu2VNmuu+4ar7322mrb+93vfhe/+93v1mm5AAAAVaHa74IIAADwYyGAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjNSp7g4ANUOnCx+rlHZmXLVfpbQDAPC/yAgYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZKTaA9iYMWOic+fO0aBBg+jevXu88MILa6z/3HPPRffu3aNBgwax8cYbx6233lri8TvuuCP69OkTzZs3j+bNm8eee+4ZL7/8cok6l156aeRyuRJTu3btKn3dAAAAVlWtAWzChAkxZMiQGDFiREydOjX69OkT/fr1i4KCgjLrT58+Pfbdd9/o06dPTJ06NX71q1/FOeecEw899FC+zrPPPhtHHXVUPPPMMzF58uTYaKONom/fvjFr1qwSbW211VYxe/bs/PTWW29V6boCAABU6++AXX/99XHyySfHoEGDIiJi9OjR8eSTT8Ytt9wSo0aNKlX/1ltvjY022ihGjx4dERFdunSJKVOmxHXXXRf9+/ePiIh77723xDx33HFHPPjgg/HPf/4zjj/++Hx5nTp1jHoBAACZqrYRsGXLlsWrr74affv2LVHet2/fePHFF8ucZ/LkyaXq77333jFlypRYvnx5mfN8/fXXsXz58mjRokWJ8g8++CDat28fnTt3jiOPPDI+/vjjNfa3sLAwFi1aVGICAACoiGoLYPPmzYuVK1dG27ZtS5S3bds25syZU+Y8c+bMKbP+ihUrYt68eWXOc+GFF8aGG24Ye+65Z75sp512inHjxsWTTz4Zd9xxR8yZMyd69eoV8+fPX21/R40aFc2aNctPHTp0KO+qAgAARMT/wE04crlcib9TSqXKvq9+WeUREddcc02MHz8+Hn744WjQoEG+vF+/ftG/f//YeuutY88994zHHnssIiL+8Ic/rHa5w4cPj4ULF+anmTNnfv/KAQAArKLargFr1apV1K5du9Ro19y5c0uNchVr165dmfXr1KkTLVu2LFF+3XXXxW9+85t4+umnY5tttlljXxo3bhxbb711fPDBB6utU79+/ahfv/4a2wEAAFiTahsBq1evXnTv3j0mTpxYonzixInRq1evMufp2bNnqfpPPfVU9OjRI+rWrZsvu/baa+OKK66IJ554Inr06PG9fSksLIxp06bFBhtssBZrAgAAUD7VegrisGHD4s4774y77747pk2bFkOHDo2CgoIYPHhwRHx72t+qdy4cPHhwfPLJJzFs2LCYNm1a3H333XHXXXfFeeedl69zzTXXxEUXXRR33313dOrUKebMmRNz5syJr776Kl/nvPPOi+eeey6mT58e//nPf+Kwww6LRYsWxcCBA7NbeQAA4EenWm9DP2DAgJg/f35cfvnlMXv27OjatWs8/vjj0bFjx4iImD17donfBOvcuXM8/vjjMXTo0Lj55pujffv2ceONN+ZvQR/x7Q87L1u2LA477LASyxo5cmRceumlERHx6aefxlFHHRXz5s2L1q1bx8477xwvvfRSfrkAAABVoVoDWETEGWecEWeccUaZj40dO7ZU2a677hqvvfbaatubMWPG9y7z/vvvL2/3AAAAKk213wURAADgx0IAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAAQAAZEQAAwAAyIgABgAAkBEBDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGSkTnV3AGBNOl34WKW1NeOq/SqtLQCAtWEEDAAAICMCGAAAQEYEMAAAgIwIYAAAABkRwAAAADIigAEAAGREAAMAAMiIAAYAAJARAQwAACAjAhgAAEBGBDAAAICMCGAAAAAZEcAAAAAyIoABAABkRAADAADIiAAGAACQEQEMAAAgIwIYAABARupUdwcAqkunCx+rtLZmXLVfpbUFANRcRsAAAAAyYgQMoApU1uiakTUAqFmMgAEAAGREAAMAAMiIAAYAAJARAQwAACAjbsIB8APjBh8A8MNlBAwAACAjAhgAAEBGBDAAAICMuAYMgDzXlwFA1RLAAMiEcAcATkEEAADIjAAGAACQEacgAvCDV5WnNzp1EoDKZAQMAAAgI0bAAKAaVNbIWoTRNYAfEiNgAAAAGTECBgA1TFWOrrkmDmDdCGAAwP8EN1MBfgwEMACAdfBDDY5CKVQPAQwAgErjBjOwZgIYAAA/CMIdNUG1B7AxY8bEtddeG7Nnz46tttoqRo8eHX369Flt/eeeey6GDRsW//3vf6N9+/ZxwQUXxODBg0vUeeihh+Liiy+Ojz76KDbZZJO48sor45BDDlmn5QIAUHP9UE/3dCrpD0+1BrAJEybEkCFDYsyYMdG7d++47bbbol+/fvHOO+/ERhttVKr+9OnTY999941TTjkl/vSnP8W///3vOOOMM6J169bRv3//iIiYPHlyDBgwIK644oo45JBD4pFHHokjjjgiJk2aFDvttNNaLRcAAH5shLuqUa0B7Prrr4+TTz45Bg0aFBERo0ePjieffDJuueWWGDVqVKn6t956a2y00UYxevToiIjo0qVLTJkyJa677rp8ABs9enTstddeMXz48IiIGD58eDz33HMxevToGD9+/FotFwAAqDw/5nBXbQFs2bJl8eqrr8aFF15Yorxv377x4osvljnP5MmTo2/fviXK9t5777jrrrti+fLlUbdu3Zg8eXIMHTq0VJ3i0LY2y42IKCwsjMLCwvzfCxcujIiIRYsWrXlFM1JU+HWltfXddfohtF3W86DtmtH2D+H1V5Vt15TnUds/zNdfVbZdU55Hbf8wX39V2XZNeR5/yG1Xh+J+pJS+v3KqJrNmzUoRkf7973+XKL/yyivTZpttVuY8P/3pT9OVV15Zouzf//53ioj02WefpZRSqlu3brr33ntL1Ln33ntTvXr11nq5KaU0cuTIFBEmk8lkMplMJpPJVOY0c+bM781B1X4TjlwuV+LvlFKpsu+r/93y8rRZ0eUOHz48hg0blv+7qKgoFixYEC1btlzjfP9LFi1aFB06dIiZM2dG06ZN/+fb1ba2q7vtH2Kfta3t6mxX29qu7rZ/iH3WdvZtV4WUUixevDjat2//vXWrLYC1atUqateuHXPmzClRPnfu3Gjbtm2Z87Rr167M+nXq1ImWLVuusU5xm2uz3IiI+vXrR/369UuUrb/++qtfwf9hTZs2rZIXclW1q21tV3fbP8Q+a1vb1dmutrVd3W3/EPus7ezbrmzNmjUrV71aVdyP1apXr1507949Jk6cWKJ84sSJ0atXrzLn6dmzZ6n6Tz31VPTo0SPq1q27xjrFba7NcgEAACpDtZ6COGzYsDjuuOOiR48e0bNnz7j99tujoKAg/7tew4cPj1mzZsW4ceMiImLw4MFx0003xbBhw+KUU06JyZMnx1133ZW/u2FExLnnnhu77LJLXH311XHQQQfFo48+Gk8//XRMmjSp3MsFAACoCtUawAYMGBDz58+Pyy+/PGbPnh1du3aNxx9/PDp27BgREbNnz46CgoJ8/c6dO8fjjz8eQ4cOjZtvvjnat28fN954Y/4W9BERvXr1ivvvvz8uuuiiuPjii2OTTTaJCRMm5H8DrDzLranq168fI0eOLHUq5f9qu9rWdnW3/UPss7a1XZ3talvb1d32D7HP2s6+7eqWS6k890oEAABgXVXbNWAAAAA/NgIYAABARgQwAACAjAhgAAAAGRHAAAAAMiKAQQ2wcuXKSmtr1RujuklqSUVFRdXdhUz8WNazIqpim6zN+8t7smIWL14cixYtitmzZ1d3V/gfV5nfo/B9BLAfqar4Eq+qnbYsdwZXrFiR2bIqw6xZs2LFihVRu3btSvnyKCoqilwuF59//nlERORyOTt8EfHll19GREStWrWq9PVY3cFn/vz5EfHten7f6+mzzz6Lv//97/Hwww/Ha6+9lkX3qkVFtkl5zJkzJ958882IKN/7q/g18fXXX5d7nqry3nvvxU033RSFhYUVnrc6XtvvvPNO9O/fP3bZZZfo1q1b3HbbbRGx5u+/pUuX5v9fEz/7Zs6cGX/84x9jzJgx8eSTT1Z4/qp8HhctWhRLliypsvZX54svvoiIWOfv0XV9vRQWFmbymqvKZdTE90xVEcB+hKZNmxYXXXRRfqeyMhQVFUWtWrVi9uzZ8dlnn1V6u59++mm8/PLLVXqE6r///W8cffTR8cEHH1R621UR7N59993o1KlT7LjjjrFs2bKoXbv2Oi0npRS1atWKadOmxQYbbBAHHnhgRFTtDt/y5csrra2q6uO0adNi++23j0suuSQiKj+ELVu2LL8datWqvo/kadOmxXbbbRfnnHNORKx5Z+Stt96KPn36xBVXXBGnnXZanHbaafHggw9WSj+Kt23xv9V5VLoi26S87XXt2jVGjhwZU6dOjYg1v7+KP//efffdOP744+PRRx/93nmqyocffhg9e/aMc845J37zm99U6LPmgw8+iDFjxuR3dLMwbdq06NOnT3Tr1i3OP//8GDJkSJx++unx9NNPRy6XK3Oed999NwYMGBD//Oc/IyKb7Zzl8/jWW29Fr169YuzYsXHllVfG8OHD4/rrr//e+T755JP8+7uqDkK98847sc8++8Qf/vCHTEPYu+++G926dYtjjz02ItbuPV7c33V5vUybNi1OPPHE+M9//rNW83+fuXPnxrvvvhsRsdrX/7r48ssvo7CwsMreM8WvuR/aQfI1SvyofPjhh6ldu3Ypl8ulE088MS1evHid2ywqKkoppTRt2rRUu3bt1KtXr/TZZ59VarsNGjRIm2++eXrppZfy5ZXp448/ThtvvHHK5XJpxx13TB9//HGltf3++++n888/P7333nuV1ubs2bPTrrvumnbdddfUrVu31LNnz1RYWJhSSmn58uXr1G7v3r3Trrvumtq1a5cOPvjg/GOVvd3fe++9dOGFF6a33nprndv68MMP07333psWLlxYCT37/woKCtK2226bfvrTn6auXbumyy67LP/YypUr17n9adOmpcMOOyz16tUr7bzzzmnSpEkppcrf1t+noKAgde/ePXXp0iVts802adiwYfnHVqxYUaLuhx9+mH7yk5+kCy64IH355ZdpypQpaeDAgenkk09OK1euXKe+F2/TadOmpQEDBqRPP/20RHmWKrJNymPOnDnpZz/7WerTp0/aZJNN0tFHH51ee+21/OOr227Fn00NGzZMBx10UHrssce+d57Ktnjx4nTSSSelo446Kt10002pdu3a6Ve/+lW5Pmvef//9tP7666dcLpeuuOKK9H//939V3t/58+envn37pqFDh5Yo33///dMvfvGLlFLp19THH3+cOnfunJo3b5722Wef9M9//jP/WGVv508++SQ9++yzVdZ+WT7++OPUqVOn9Mtf/jItW7YszZgxIw0bNiwdeOCB6ZtvvlntfO+9915q3rx52nLLLdO4cePy5ZX5nvzkk0/S1ltvnZo2bZq22WabdPfdd6evvvqq0tpfnZkzZ6Ydd9wxbbPNNmn77bdPJ554Yv6x8r7Hp02blnbfffd033335csq+nyuuv/Rs2fPEp8LleGdd95Jbdu2Tcccc0z673//W6ltF7e/ww47pF//+tfp66+/TilV7mu6+LX29ttvp8MPPzy9//77ldZ2dRLAfkSWLFmSzj777DRgwID04IMPpqZNm6ZjjjmmUkLY3Llz02677ZYOPPDAtOmmm6af/exnlRLC5s2bl/bcc8909NFHp27duqUtttgiTZ48uVLf3EuXLk2XXHJJOvTQQ9PkyZNTt27d0rbbblspIezDDz9Mbdu2Teutt14655xz0gcffFAJPU7pb3/7W+rfv3965pln0sSJEysthP3lL39JRx55ZHr++efTM888k9q2bZsOOuig/OOV9aVbvF1yuVw6++yz07vvvrvWbb333nupSZMmKZfLpdtvvz0tWbKkUvpYVFSUrrnmmrTvvvump556Ko0cOTJtscUWJULY2uyIF3v77bdTq1at0uDBg9Pvfve71K9fv7TBBhukL774ojK6XyE33nhjfqfz6quvTltttVWZgaOwsDANGzYsHXHEEfnXWkop3X333alVq1Zp3rx569yXjz76KG200UapUaNGqW/fvtUWwsq7TcrrpZdeSocddlh6880303PPPZc6d+78vSFs2bJl6fzzz0+HHHJIeuihh9Juu+2W9t133/T3v/89XyeL7TJ37tx0zTXXpD//+c8ppZTGjx9frhC2ePHidPzxx6cTTzwxXX311SmXy6WRI0dWeQj78MMP0w477JAef/zxEuVnnXVWOvDAA1NKJbdbYWFhOu2009Khhx6axo4dm/bbb7+05557VkkIe/fdd1ObNm1S165dMwvTy5cvT5dffnk6+OCDS3zf/+tf/0qNGzdOH374YZnzzZs3L+29997pwAMPTPvvv3/aZZdd0tixY/OPV8Zrb+XKlenWW29N++23X5o2bVo69thj0+abb14ihFXVtrnzzjtT375907PPPptuuummtO2225YIYd/3PTp9+vS02WabpVatWqXdd989TZgwIf9YeftcWFiYLr300nT44YenN954I2222WZp++23L9fBmfL47LPPUs+ePdOOO+6YOnXqlE455ZRKDWGffPJJ6tatW2rTpk3q3bt3uu6666okhFXlQfLqIoD9iCxatCiNGTMmPfDAAymllCZNmlRpIez5559PJ554Ypo0aVKaPn16+ulPf5p69+6dZs2atU7tvvXWW+n0009P//73v1NKKXXv3j1tvvnmlRrCli9fnh544IH8zsXcuXPTNttss84hbMmSJemYY45JRx11VLriiivSdtttl84888xKC2FPPvlk/v9PPfVUPoQtXbo0pbR24eD//u//0hNPPJH/+1//+ldq06ZNiRC2rtv966+/ToMGDUpHH310uvnmm9NPfvKTdPrpp5cIYeVdxsKFC9Phhx+eTjrppHTOOeekOnXqpFtuuaXSQtjs2bPzOxyff/55PoRdeuml+TprsxMyd+7c9LOf/Syde+65Jcq32GKLdPXVV69Tn9fGl19+me699978/6+66qoyA8fSpUvT9ddfn26//faU0v9/nt59993UqVOnNHv27FJtV+T1smTJknTiiSemww47LN1yyy1pt912S3vssUe1hLDybpPyWrhwYXr11Vfzfz/zzDP5ELZq+XfbnDRpUv41+Nprr6Vdd921VAhbdRtX1c7qnDlzSvx97733ptq1a6fhw4fn+7xixYr0ySef5OvMmzcvjR49Or9jescdd6RcLpcuvfTSKg9hL774Yv7/y5YtSymlNHLkyNS/f/8S9YpHf5588sl06623ppRS+uc//1klIWzOnDnp5z//edp9993TQQcdlHbbbbfVPo+Vafny5emuu+7Kr1/xsmbNmpXat2+fpk2bVuZ8s2bNSieffHJ6+umn06xZs9LBBx9cKoRVRp+nTZuW/vKXv+T/PuaYY9IWW2yR7r777jL3TSprOy1btiz/vf/NN9+k3//+96lbt27lGglbvnx5GjZsWDrggAPSgw8+mI444ojUp0+fEiGsPJ9Xy5YtS48//ni6//778/346U9/mg9hZa1rRdb/ueeeSwcddFB655130qOPPpo6dOhQaSGsqKgojRkzJu2zzz7p5ZdfTqecckracccdS4SwyvjMrsqD5NVJAPuR+fLLL0v8/fzzz+dDWPHRphUrVlR4ROKrr77Kh6SUvj1asemmm6bevXvnd55SqvibcenSpemtt97KfwiuXLkybb/99mnzzTdPL774Yv6DaMWKFev0oVz8BV1s9uzZ+Tf59OnT88t46aWXStVdnRUrVqQ77rgj/fGPf0wppXTzzTevMYSVt/9l1VuxYkWZI2HXX399uU9nWN0H/TPPPFMqhN16660ldnAq4uuvv05/+tOf8tvlwQcfTBtuuGGpEFYen332Wfr1r3+dHn744ZRSSiNGjKi0EFbWa/Wzzz4rM4T95S9/qdBr+7nnnks77rhjev3111NK//9I63777ZdGjBixTv2uqLL6PW/evDIDx/jx40u8dotfM3PmzEmbbrppKigoyD+2tqfRjBkzJt1zzz0ppZQeeeSRaglhFd0mxQc9yqv4+X722WdTp06dSoyE/frXv06PPvpovu5335evvPJKfiSseASlqKhord+PFbVqf/70pz/lR8K++uqrdO6556aTTjopv/OVUungdvvtt5caCVu5cmWaOXNmlfR31efyiiuuSH379s3/fckll6Rrr722zOd74sSJ+RD2r3/9K6X07WjFupz+9N///jfts88+6bnnnkuTJk1KBx98cGYhbNXR6eJlLF26NG222WbpzTffzD+2auBM6dsQVly/oKCgzBBW3u/E1SlrnY855phSI2H33XdfpR1cK+s5X7x4cbrppptSt27d0kknnZQvv/POO8s8vX3KlCnptttuSymlNHXq1HT44YeXCmHleT5XPZsgpW/3p747ElZUVJSee+658q3cKhYsWJBeeuml/N+PPPJIPoS9/fbb+fK1/Vz99NNP00MPPZRS+nY/ZNCgQfkQVvxcrboN1mY5a3OQPOvT+NeGAEZ64YUXUrNmzdLRRx+d5s2bl84888x0yCGHrPWoWPEbbPr06fkQNmvWrLR8+fL029/+Nv8mqqhVP6SKQ9jkyZPTN998k6644oo0evTotWp3Vau+aT/77LN8CHvvvffS4MGDU69evdL8+fPL3d7SpUtLtHnTTTel7bbbLp1xxhn5Hdlly5aluXPnlqu9VY/GfffI3PLly9PTTz+dtt1229S7d+80ePDglMvlytxhKCoqKtGvNR3JX7lyZT6EHXLIIenMM89MuVwuffTRR+Xqc1kWLVpU4u8HHnig1EjYihUryrWzU1BQUGJdfvWrX5UKYStWrCjX6XHFR8NX3aH47raZNWtWPoSNHDkyDRkyJOVyuQqP9t599935/xcvb9CgQem8884rUe+7X86VadUvw++u5xdffJGuvvrq1KVLlzR06NB0xhlnpFwulw9Zq27zd999N7Vs2TL/2MUXX5yaN2+e5s2bt04HFoqKivKn3u2+++75EPbNN9+kzz//vGIrW07l2SZbbbVVGjp0aDrnnHNKbJOyfLeN4vaL17f4dMRjjjkmHXLIIalRo0bpv//9b6lRrVXfs6uGsEcffTSdc845qUWLFmn+/PmVuuNRnlOZ77333tSwYcO05ZZbplwuV2KHcVWrbofbbrstPxI2Z86c9Itf/CIdeeSRJYLb2vi+Eckrrrgi7b777imllC666KKUy+XSK6+8kn+8qKioxPP/1FNP5UPYU089lc4888zUqFGj9NVXX631dl71WuDnn38+H8L+9re/lVqPynguv7tNVm3ziy++SG3atMkfCLrkkktSgwYNyvwsK/6M+vTTT9NBBx2UD2HLli1LQ4YMSVdccUWF+7a6g4nFjj322LTFFlukO++8Mw0aNCi1bt16je+18irrPV7cl0WLFuVPRzzppJPSWWedlXK5XP5A7JpMmTIlPxJWfKbRihUr0n/+858S9b744ou0bNmyMsNI8Xtu8eLF+RD28ssvp9NPPz1tt91263SKevG6Pvroo+knP/lJiZGwq666qlT4XhtLly7Nj4T99re/zb+nV71+cG1UxUHy6iaA/Qis6Uu0+ENn0qRJqWXLlmnDDTdMderUKXFKzHfrl3fHPaX/H8J22WWXdNxxx6VcLleum1Gsrs+rlm+//fZpq622SgceeGCqU6dOiaM55bGmvhev4+zZs9P222+f6tatmxo2bFjiy7oiVu3373//+/xI2DvvvJPOPffctMMOO6TCwsJyfeEWFRWlBQsWpJRK78ytWLEiPfHEE6lu3bqpRYsWqx2FKJ7/u+1+d4R0VRMnTky5XC61aNEiTZky5Xv7ubq+r2rV52DVEPbmm2+moUOHpp49e652Z+e7Zatu4+IQduutt6YFCxakX/7yl+nUU09d4wfzp59+mrp06ZL/MF+1ve9u588++yxdcsklKZfLpebNm1doe6xuhzyllE488cR0/PHH5/++4YYb0p/+9KdKH/VZdUezrKOTxWVvvfVWatOmTX49Vz2Sumqf3nvvvdS6deu0YMGCdMUVV6SGDRuWa5t8d2dideHnwQcfzI+Effzxx+n0009PO+64Y6WG0/Juk3nz5qVRo0alWrVqfe9zv+q8L7/8cpnLTCmlp59+OuVyubT++uunqVOnlvl8F9ctfuyVV15Je+yxR2revHlab7311vo9+X1WrlyZrrjiijVe07vbbrulFi1a5EdSVvf5ver3x+23357q1q2btt5661S7du00derUSuvvBRdcUOLIePE2u+yyy9Kxxx6bfvvb36b69euX2jH+bh9T+vZz74ADDkhNmzZNzZs3L3OetbHqd+93Q9jpp59eYlRsba36+is+uLRq2WeffZZatGiRPvzwwzRq1Kj8+3Z1n1HF/3766afp4IMPTrvvvnv62c9+lho2bLjafYbVWXUbf/d01FVfP8cee2zK5XKpSZMmFV5GWb5vm6T0bfi58cYbU506dVLz5s1LLfe7nw+r/v3KK6/kQ9j48ePT2WefnXK5XFqwYEH+O7Zly5bpzjvvzLf13fdL8ffUkiVLUpcuXVK9evVSgwYNKrT+323zu/1c9XTEww8/PDVu3Hi1p6KWZdXPqFX3P1L69gBZcQi79tpr02mnnZbq1KmTZsyYUe72V6eyD5JXJwHsR+Sss85a4yleBx10UGrZsuUa70pX1khNUVHRGtt9//338zvuqwsExUe2v/vB9uyzz5a6Q1PxB8vSpUtTvXr1UosWLdb6y7uoqCj1798/TZw4cbV1Bg4cmFq2bFnuc6ZXF+xW/cC6+eabU48ePVLnzp1TkyZNKrTzdOqpp+Y/0Mty2mmnpYYNG642kP7+979Pe++9dyosLCzRp6OPPjpttNFGZYawlStXplNOOSU1btx4rc8dX912WfU5f+CBB1LHjh1T586dU4MGDcp8vaxcuXK1O3irrs+vfvWr1LBhw7Tzzjun2rVr54/yrs6sWbPyd6crLCxMxx57bInTLr/ruOOOS02bNi339ihPv08++eR02mmnpZS+HUXK5XIVPrCwJl988UWJkaOioqJ01FFHpd12263M+rNmzUrrrbdeqlOnTpo6depqt8nnn3+etttuuzRgwIBUr169cr2eL7zwwnTuueempUuXlrmzUNy/Yg899FDaY4890nrrrZfWW2+9EmFwXVR0m6SU0gknnJDWW2+9Mp+bxYsXp/nz55cYcT3uuOPSVlttVeZ2Wbp0adp5551TkyZNSryWioqK0mmnnZZuuOGGUvMUb5fDDjssrb/++pVyJ9GUvj3g9MQTT6RHHnkk/znw8ssvp1wul6666qpSBz2Kw04ul0tvvPFGqcdGjRpVahR71TZ69+6dWrZsWeIUuHX1zjvvpFwul0aMGFGqv6NGjUoRkdZbb738KdBFRUXppJNOSnfcccdq+7nvvvuu03YuK9Cs2n5xCNtjjz3SPvvsk3K53FoH6s8//7zEjm5RUVEaOHBg6tatW6lTZb/++uu03XbbpX322SfVr1+/xEGC5cuXpz/96U+lDloVvzc//vjj1KpVq9S8efNSz315FX///uIXvygVwoq3WfHo7rpcs1SRbVL8vAwaNCg1adKk1Ht8TQdHik2ZMiUNGDAgNW7cODVv3rzEgdsVK1ak/v37p4MPPjjNnz8/HXrooenPf/5zmWe0pPTt933Lli3X6ntg+fLlpb73Vu3rww8/nD/wU5FTxlf9vC7+nPhuCCssLEynnnpqql+/fmratOlanZJenoPkc+bMSd27d1/ng+TVQQCroYpfnM8880z6xz/+kT755JNUq1at9Itf/KLUB0hRUVEaOXJkyuVya9xJvf3229MWW2yRCgsLS7wxTjvttNS4ceMyTxdbtmxZGjx4cP60mrI8+uijKZfL5W/BXdy/8847L+VyufTCCy+Umufrr79OZ5xxRmrYsOE6fTAvWbIkbb311umoo44qtRNYVFSURo8eXeK0mvIqKipKI0aMSM8//3yJ8lW3fc+ePVPz5s0rvPPx7LPPpjPPPLPMU+qeeeaZ1K1btzKPlBU/Zw899FA+SBeH2xUrVqR///vf6YQTTigz2D377LNpm222WecPt6KiojR8+PBSpzqs+qWw5557lrldpk+fXiIcrly5Mt12220lrjEsLi+21VZbpZYtW37vDkLx6Mf111+fttlmm/SnP/0pXXzxxemYY44pdbpkSt9eE1DeL63y9Lv4tXfaaaflr0up6BHP7zNv3ry0++67p7PPPjt/Xc6SJUvSVVddlU444YRS1zgUFRWlsWPHpkaNGqWf/vSna9wm06ZNS7lcLjVs2LBcB0PGjh2b6tSpU+rAzbHHHlvqNVb82igsLEy77757at68eaWF0opuk5S+PZWmZcuWZT737777bjriiCPSIYccki655JJ831977bU0aNCgUjuZRUVF6f3330/169dP48ePL/FYQUFB6tGjRzrnnHNKHYQqKipKv/zlL7/3M7si3nrrrdS9e/e0//77p4suuqjEczxlypQyD759+eWX6Xe/+12Z768XX3wx5XK5Mq+xWr58ef70zbXdeS8oKEhjx45NQ4cOTb/85S/TpEmT8kF62rRpZfb32muvTbVq1Uo/+9nP0qGHHppWrFiR/vvf/6Y+ffqk008/vdTO+IoVK/Kj6eu6nYuKikqcZlhcVuzZZ59NrVq1Suuvv/5ab5P/+7//S7vttls68cQT8yOAy5YtSzfddFM69dRTSx1cmzNnTqpbt24+fH3yySf5U8auv/761LJly1Kvy5S+PWhw6qmnpqZNm1YolBav76rrPXDgwHT00UeXeW3XuHHjUi6XW6fPwYpuk5S+PRDYtm3bNZ4JNHDgwDWednnooYemZs2alflZNWbMmNSyZcv04Ycfpu222y4dccQRZZ6dce2115Z7/6OgoCDdcccdafTo0fkbdB155JGpe/fupb5Li4qK0tKlS9O5556b1l9//XLtQ313ZHjlypVp4MCB6cQTTyz1OVn8fj/99NPX+fO6Kg6S/68QwGqYVd8gzzzzTGrUqFH+AskZM2aUudP+9ddfp3Hjxq32TbLqbzAU7zCt+mE5Z86cdPbZZ5c57Pvmm2+mPn36lHn6TbHPP/88HXXUUalZs2YlbuSRUkrDhw8v85znTz/9NO2///4VOh1kdaf3ffPNN2WGjuIbW5T3ouvvnrbSrl27dOmll5Z5esEpp5yScrncasPXqqdDLV++vNRw/5pOpStrexXP/95776WTTz45LVu2LL300kvpZz/7Wf5arhUrVqx2hGbx4sXlvk5tTaZOnZrq1auXLrnkklLLWrFiRTr33HPL3ClbtmxZ2n333VO7du3yO7EPPPBAyuVy6a677ir13BYWFuavWVpTwP3ua/bLL79M2267berfv3/6+uuvV3uK25w5c8p1B6aK9rv4eoMmTZpUyZG8888/P+2www7pwgsvzF/nsWTJkhLX3qy6TRYuXJjefPPN790mn332WTrzzDPLdQpLUVFR+vWvf52/Hfjf//739Pjjj6eXXnopbb311umkk04q82jwyJEjU8OGDSstcBQrzzZZ1cKFC8s8lebNN99MrVu3Tueff356+umn86/vVe8QuKpV39PF19s+88wz6YUXXsjP++mnn672tOCPPvqo0kaO/vvf/6bmzZunESNGlLppRllW/Y2mNZ3i/tJLL5V5rd7XX3+dbrrpprW+Ucsbb7yROnbsmPbaa6+05ZZbpk022STVqVMnHX744WW+PhYsWJDefvvttP7666ehQ4emTz75pMT2f/fdd1f7G4JPP/30Om3n4vf4ZZddllq3bl3q1vjFp6ANGTIkNWnSZJ1HM3/zm9+kHXbYocTPnixbtqzM3/pasGBBOv3001Pfvn1T165dU506ddK2226bfv3rX6clS5ak0aNHl/l9smzZstSrV680efLkCvfviSeeSKNGjSpxjXlZB7lS+vZ9uOpdNddWRbZJSt++pr97U5hVP6sLCgrSAQcckE499dRSnxNFRUXp8ssvT7Vq1Sp1MGrVNrbZZpt0+umnp5TKXv+VK1emV155pVyXbLzxxhupU6dOadttt03rrbdeatq0aZowYUJ6++2308CBA8v8DHnzzTdTixYtyrUP9d5776WzzjorHXLIIem6667Llw8aNCidcsopZf5mW/EdT9f1N82q6iD5/wIBrIaaOXNmuu666/JHaMoaNl91R+v7rjFZ9Wj9iy++mNq3b1/qdJmyLF26dLVfbN+9GPjYY49NjRs3LhXCVrXq3RDX9OORq1vWpEmT0tVXX50uvPDC9PTTT5d597KPP/64QtfcrG7dJ06cuNrTBO+8887VhtJV+/Tkk0+mU089NfXp0yfdcsstZX45X3rppWu8PqN4XV5//fVUq1at/N37HnnkkbTzzjunPfbYI3/d06rr/bvf/a5KbnQwderU1d4Q4y9/+ctqR1DeeuuttMMOO6Qtt9wyv10feuihMvu4aNGiNHLkyDWexvPRRx+lFi1apAMOOCDNnj07/yXy6quvpvr165e6HXzxbYIrqiL9Hjp0aMrlcumdd95Zq2Wtzqo7/5deemnq0aNHuvDCC0u9bj766KPUuHHjtdom33cDhVVfW8VHtk8//fSUy+XSX//615TStyMtq7s9+c0331ypp6qVd5uklErc8a0sn376adp8883zP/JbbHWfDTfddFP629/+lqZPn55uu+22fNjeYYcdUps2bdKkSZPKDDaVdf3RqhYtWpT22muvEnd9S2n13wkXXHBBOuigg/Kv3+J1nD59enrvvffWeLS7It85q/P++++n1q1bp1/96ldp4cKF+e10ySWXpA022CD17du3xMjqRRddlHbaaae0ww47pLPPPrtEW6s7xakqduZeeuml9Jvf/KbMA5UfffRR2myzzdbpOr5V12X06NGpR48e6eyzzy7zZkm33HJLWrx4cXrzzTdTs2bN0plnnpnuvPPO9PDDD6eDDjoo1apVKx155JGlvh/Luu6nom688cb8yGhZO+5PPfVUmT9nsTYqsk1uvfXWMvuz6gj8qj755JPVBse33norv3/03W1Y/Hq97rrr0tZbb13qAO8777xToWtb33jjjdSoUaP0y1/+Mn/Hw2OPPTa1aNEizZgxY42n8a1u32xVr7/+emrdunU6+OCD05FHHpnq1q2brrrqqvzja7pZW3kOUq56g6GqPkj+v0YAqyHmzp2bXnnllfSf//wnffXVV/mL5ld9o6zqsssuS9ttt1253iDF1yh07NgxFRUVpU8++ST17t07bbzxxiXuWFfsyiuvXOPvdJV1CmRK346EfTeErVr3oosuSvfee2+FgteqHnzwwdSkSZO0yy67pJ122inlcrl03nnnldgGY8aMSY0aNSr3LZ2L+/7iiy+ma6+9No0cOTLdd999ZdYtz5G8N998M78j9PDDD6dGjRqlc889N5155pmpV69e6aCDDioxMlL8m2tbbbVVmbfiL95+//3vf1ODBg3SyJEjSzz+17/+Nf385z9Pu+yyS4kQNnPmzNS6dev085//fK12lIr7MWXKlDRhwoR0yy23pBkzZpT53H3f3aVWvfnAtGnTUq9evVK3bt3K/EBe9cvg+24Q8/7776f1118/5XK51Ldv33TdddflR97OP//8tN122+VfB88880xq1qxZqR24yur3ql+ElXHEtyyrfqnvtttuacMNN0wXXnhhfmenqKgojR8/PuVyuRQR5d4mZ555Zon1XZOPP/44H7CKb54zcODA1davjB9zX5PybJNJkyal1q1br7Gff/7zn9OOO+6YPvroo+99v8ycOTNtsMEGabfddks//elP0yGHHFLiB3l79+6dNtlkkzRp0qQSbRWfAl587VJl+eijj9IWW2xR6vS4Yt+9+cff/va3tOGGG5a4Pflf/vKXtPXWW6dOnTqlLbfcssRt+ovnGzZsWDrssMPKdTe51Sk+hfnII49MK1euLLWtr7nmmtSkSZMSP5Y+efLktNFGG6WOHTumZ5999nuv4bnrrrtSp06d0oMPPrhW/Stu68MPP0wvvfRSmjx5cv51tqafK6iM26uv+nreZ599UuvWrdPZZ59d4jvu5ZdfTh06dEj77LNP2m677dIvf/nLEm3MnTs33XTTTalRo0bpiCOOyJdfe+21ZZ65sCar+0wYM2ZMyuVy6eqrry7xnfDII4+kxo0bp2uuuWadfuR+VRXZJoccckiJPhf//8knn8z/oPjjjz9e5nNV1i3iP/7447T//vunO+64o1RQmTlzZmrRokW65JJL8mWjR49OjRs3LvEbn2tSUFCQWrVqlQ4//PD/196dh9Wc/v8Df51TkpJClmjTQsi33VaUmjYTxjaZMWlCti++EYoaW2PLNpLtw+BjGRMTxjbjY5/PGKKZQRTZCcXIGu3P3x/9zvs6p1M5p845hdfjulyXznqf+7zP+32/7uV1y9y+d+9e6Ovry62TXb9+PY4eParQawNlwV2DBg0wY8YMAGXX1PHjxyMiIqLCYPXnn39WeqaMpENCMqvn+PHjiImJweTJk3HkyJEK2wzKdpLXVRyAfQCuXLkCd3d3BAQEoH///gDKelhFIhGCg4Mr/EFcvHgRHTt2VCgrTWlpKf773//C3t4ebm5uAMp++L6+vjAzM5MJwl6/fo127drBxcWlykApIyMD0dHRuHnzpsx0upycHAwdOrTCIKxbt26wtrautNepKtevX4e5uTnWr18vnFR37NiBpk2bIioqSniPFy9eoF+/fkr1qPz0008wNDTEF198gb59+6Jdu3YYOnSozGOWLFmCTz75pMoezgsXLkBLSwsLFixARkYGbG1thUxJr169gpGREaytrREQECC8TklJCVJSUioMpCWfKS0tDcbGxmjfvr1wn3RDYO/evXJBWFFREf7++2/cuHFD4Xoob9euXTA0NETXrl2hr68Pe3t7zJ49W+bELUkLXdFUFunjR/oYiYyMhEgkkgtmIiIiMHHixCqnUEm+e0kjYsWKFZg0aRJiY2MxZswYODk5Yf/+/UhJSUHHjh2Fi+Pjx4+RkJCg0Cba1S13+bVsNXXt2jUsWbJEbsH/0qVL0bRpU3z55ZdwdnZGVFQUHj16hKKiIjx//hxDhgxBWFiYSusEKKsLb29vNG/eHNeuXYOnpycCAgIgFouxatUqucbpmjVr0LJlS5UlmFCmTqSDsOfPn2P9+vVV/hYmTpyIdu3aVXif5H1ev34tHJsHDhyAoaGhzLRHad27d4elpaVMEJaRkYHBgwfXKICpyLFjx9CwYUNhdLGyAOXHH38Uzr3SDdBDhw6hYcOGWLVqFTIzM7Fq1SphdFNacnIymjRpovR2DeV5enpi5MiRMrdJlzk4OBiWlpYy55lNmzZBW1tbLpiUlpeXh8uXL+PatWv46quvqrXNhuT1k5OTYWdnBxsbG3Tt2hUODg5yU/kWL16MlStXyj1XGdeuXcOMGTOQn58v85kWL14MY2NjhIeHw9nZGRMnThSuEfn5+fjhhx+wb98+2Nvby+2zCZQd83FxcdDX18eePXuQn5+P/v37o0ePHgpt51FeRd/5ypUrhSBMevR8+vTpNRrRqEmdVPSdHz9+HNra2hgxYgTs7Ozg5uaGWbNmCceXpOPKzMwMq1evlnlueno6goKCoK2tDQ8PD0ybNg0vX74UrhELFy5E+/btZWY8+Pn5Kfz5b9++DTc3N/Tt21dmrfzp06dhZGQkM8vm9u3baNKkCYKDgxXa7qGy4C44OBgODg6ws7NDYGCgMDvgl19+QevWrRETE6NwcJSUlAQ9PT1h6vpPP/0EHR0d9OzZE927d4dIJEJkZGSNOsnrMg7A3nOSee0zZszA3bt3ZRp8kl6mefPmycwBrmxIXaKiH09JSQnOnDmDtm3bCkHY3bt35YIwoGxhe1WNhIKCAri5uUEkEsHGxgYREREyC31fv36NIUOGQE9PT0jMIaHo6IBkRFCyiDYtLQ1WVla4cOGCzIVu+/btEIvFMtMelbkQXr9+HZaWlsKJNz09HYaGhpg4caLM4zZu3IiePXtWutlo+RGqlJQUjBkzBkVFRbhz5w6srKwwduxYJCUloVmzZujdu3eFyUkkpKcd6unpwcvLC61atZIpl/SxIgnCvL29axR0SaSlpcHExATff/89Xr9+jeLiYkyaNAk9evTAt99+K7y3ZPPo8vWSlZWFwYMHCxugSixatEhI4evq6iozrW/BggUwNDSssgeufC/kyZMnERAQgEOHDuHt27dITEyEkZERFi9eDH9/f5lEG4pcVNRV7urYtm0bRCIR4uLihGN64cKFaNy4sdBbO2vWLPzP//wPYmJihP11Tpw4odI6kZaWlobOnTujbdu2QqNj1qxZEIvFWL16tcw56cCBA+jXr59KjkcJRevEyclJpk7edU6IiYmBnZ0dnj59WmnP/ezZszFnzhy8fv0agwYNEkYOJQoLC3Hr1i3hOAgICIC5uTl+//13oV7Usb/NxYsXIRKJhM2vK/qsW7ZsQUhIiNz7P3nyBAMHDsTSpUsBlI1YWlpawt/fH/r6+ggPD5d5fHX3lpR48+YNPD09hdeVPl4kZdu7dy+MjY1lpsifPn0aurq6VY5qJSQkwNfXFwCUnmUhHZCeOnUKDRs2xLp161BQUID9+/dDJBLJZLOUrGF2d3evdMqtIg4dOgSRSISIiAjh80uOZ8k5aPny5XBycsKkSZNkrtObNm2Crq6u8Hf57/3WrVswNDQUph2/fPlS4eBZcv1NTU1Fbm4uxGJxhdN4ly5dCi0tLaxatarS6frKqkmdlHfv3j1Mnz4diYmJAMrOd1OmTEHXrl0RGxsrBGGXL1/GuHHjKg3aL126hFGjRqFNmzYwNzdHZGQkLl26hNTUVJiammLv3r3V/ryZmZkICAiAn58f0tPT8fLlSzRv3lxmP0nJd3v27FmFO8ykgztJO2zBggXQ09PD3LlzsWHDBrRv3x62trbCufybb75RqONCct34888/4e3tjTZt2uDSpUuIjY3Fv/71L+FxO3bsgLGxMaZNmyacV6vTSV5XcQD2Hnv69Ck8PDzkpkVJTxFYsWIFRCIR5s+fr9B8X8kP49GjR3KjEoWFhUhJSYG1tbVcEGZlZaVUppv4+HgsW7YMR44cwaxZs2BoaIghQ4Zg1apVKCkpwbNnzxAeHo5GjRrhxIkTCr8uIDsiKMl0lZqaCh0dHWFIXrq33d7eXmZhqTJOnDgBJycnAGVJTszMzIQ04gBkArvK6r+yEaq7d++itLQUQ4YMQWhoqNDY8PT0RMuWLYWerMoah+fPn0e9evUwe/ZsFBcXY926dTA2Nq40CNu3bx9cXFzw6aefoqioSKlA9Pbt2/j5559lXsvKykpmVCcvLw8TJkyAg4ODTC9qRb1xN2/eRLdu3dC7d2+Zk3+TJk2EbEjp6elwdnZGp06dhNerav+PR48ewczMTOiskIiLi4OxsbFQ1t9//x3h4eH49NNPIRKJEBgYWOH0zoqoo9w1sXHjRojFYiQkJGDhwoVo0qQJ/vOf/wj3P3r0CIaGhjA0NMSkSZOEz6nKOgFkp7Glp6fD3d0dTk5OQqNr9uzZQhAm/dusaJpLTb2rTgBg7ty5sLS0xJw5cxT6nHv27IFIJBKmH5dfz/Dq1SuEhoZi69atKCwshIeHh8zox6+//oqIiAg0atQIpqamGDRoEICyIMzQ0FA4F1d33U1V8vPz0adPH5iamgq9ypJriOT9pk6dinHjxuHGjRvYvn071q9fj6ysLBQUFOC7775DZmYmcnJyYG9vj9GjRyM/P1/Y6DgkJER4L1WUf+zYsTIdFuXLun37drRt21ZmxCkrKwvNmzdH37595dKRS0RGRmLatGlKlzE1NRXW1tZCp+PixYsxfvx4AGUNeHNzc5lgW1LetLQ0lYx679u3Dzo6Ovjmm28wf/78Co/nhIQEWFpaIioqCoWFhcKslncFpU5OToiIiFCqPOWvv0DZCLG+vr7c9Px//vkHrVu3FgJUVR3f1a0T6etYeno6evToATs7O5lrW35+PqZOnYouXbpg5syZwnX9Xeu28vPz8ezZM0yZMgXu7u7Q1tbGzJkzYWxsDAcHhxp1TmRmZiIwMBCenp5o3LixzHdW0ZYeyrxuQEAA+vbti5EjR6J58+Yy0yPv3r0LkUgkBKjKkBz7WVlZ8PPzg4mJCTp16iQ3/fKHH36AWCyW6XBWx3mwNnAA9h67cuUKrK2tK5zXLj3FJiEhAVpaWoiJiVEoCLt37x6aNm0KkUgELy8vIW24ZPrJuXPn4OjoCGdnZwBlgUfnzp1hb28vnMjeRbJ+RLKe6eHDh5g9ezZ0dHTQtWtXrF69Gr/99htCQkLQunVrhXsky48IStfL4MGD0aFDB5kemoKCAri4uMj0ulTm9u3bWL58Ob799luhx+q3336Dp6cnUlNTYWZmhlGjRgk9NX/++ScmTJggDK9XVC9VjVABZQ03R0dHrFq1CkBZsDJs2DDEx8e/c33MqVOnZF7v+fPn7wzCDh48qPQapAcPHggBpGR9ytGjR9G6dWuZjFNAWYNaR0dHZsSzsuNFcvLv168fwsPD0axZM7mTc0ZGBtq0aQM3N7cK14RIe/bsGebMmQMjIyP4+Phg+fLlwn2hoaEy2aJycnJw6tQpBAUFKZ0SWtXlrqn169dDS0sLIpFIphzFxcVCnejq6qJ79+4qqxPJ53nXdMxOnTrJBGG6urpYunRptdd5KqqqOpFYuHChQmtkgbLRgYEDB6JevXoVrqWaOXOmMOX7xYsXsLOzQ3h4ODIyMjB//ny0a9cOAwcOxIoVK/D999/DwsJCSKDk4+OjcK91de3cuRO2trZwcnKSmXWQk5OD6OhotGjRAvv27YOjoyOGDh2KadOmCY+RfNeJiYnw8fERplmuWbMGrq6uch0x1SU5T6SkpMDU1BRubm4VZnebMGEC+vTpIxe8Jycno379+ggJCZEZHcvLy8P06dNhYWGhUMY5aRcuXICBgYFMgzcsLAwjR47EgwcPYGpqilGjRgll37VrF5YuXaqy9U0SkrVTIpFIJsui9PusWbNG5ni+f/++EJRKn/Ml32dubi66d++u1JrDqq6/UVFRqFevHrZv3y7c9vz5c0ycOBHLli1TeQpxZetE+jqWlJSEgoIChISEoEGDBpg0aZLMdaqgoADR0dFo166dMJquTFDw5MkTbNq0CZ6entDT01PJDIjMzEx4e3vDwsJCZj1aTYOVa9euwdfXFw0aNBA6qiWZmLOysuDg4IBdu3Yp9V75+fno3LkzbGxsAJS1IQcOHCiTkEn6GuDo6Fhlyv/3FQdg77Ht27crNK89Oztb2LdIkfnbd+7cgaOjI9q1awdXV1eEhoZCV1cXjo6O+Oqrr5CUlISdO3fCxsZGmLJx9+5dpRvuU6ZMwdChQ4UfWnBwMOzs7PD111/D29sbWlpamDp1aqXT9sqrbERQUi+///47AgICYGdnh2PHjuHUqVOIjY2FsbHxO4fNL168CDMzM3h4eMDKygp6enrYsGEDcnNz0axZM4hEIowaNUrmOREREfDx8al0dEOREars7Gz4+voiLCwMx48fR2xsLNq3b690dkLJMfLixYsK30eZrEvlHT9+HCKRCG5ubujXrx927NiBt2/fwtTUVG4tXE5ODhwdHavc00NaRSd/QPZYv3btmsINZaCs42LQoEGwsbGBl5cXrl69ip07dyI0NFSuXNW9eKmj3DWxY8cOYX2hdBkkvfHqqBNFp2Pa2dkJQdi0adPQtGnTGk3LUtS76kRZZ86cgY+PD+rVq4fIyEjs3r0bGzZsQGhoKIyMjGSyex47dgza2tqwsLCAgYEB1q5dK9NZ4efnhy+++KJGn08R0t/lhg0bYG9vD5FIhMGDByMgIAC9e/dG69atsWvXLjRu3BhTp06VaSj+/PPPwuhAREQEXFxchPumTp2KBQsWKLTeRBlFRUVYtmwZWrRoAXt7e5w4cQK3bt1Ceno6oqOjYWBgUGG2zJKSEqxduxba2tpo164dwsLCMHbsWPTt2xfNmzdXOvOhJPucJEGBxLJly9C/f3+0atVKWKsmabCOGzcOERERKq8ToGwUtUGDBoiMjJQZRa4q2EtOToaOjg6GDRsmN4MlNjYWlpaWCq0TB959/QXKgjBtbW0sX74cJ0+eFKb7qiIBSUWUqRPp61hQUBB+/vlnFBcXY9SoUUInqPS5oaCgADNnzlRqTWb5c2dOTg5SUlKqtd6wItevX0dAQAD8/f3llm/UxI0bN+Dn54fAwECZvU2/+eYbtGnTRpiqrSjJCGyHDh2E2VR37tyBt7c3GjduLDMttKSkBE5OToiPj1fNh6lDOAB7jykyr/27774TgiRlpjldv34d/fv3R79+/XD27FncvXsXO3bsgLu7Ozp37owGDRrIXKyrY9euXejWrRuKi4sxYsQItGjRQrgIZGZmYvXq1Ur1ilU1IiiRkpKCoUOHQldXV8ge+K4Lr+RCGx0djYKCAly4cAEdO3ZEhw4dAJRdxMRiMSZMmICzZ8/iwoULmDx5MgwNDatMIKDoCFViYiJcXV3RqlUrtGnTpsab80oHYZMmTarRa0kMHz4cDg4OGDhwIHr27ImDBw/izJkzMDY2xpAhQ/D333/j+vXriI2NhYmJiVLBuvTJX3oaQk1GjZ4+fYr9+/fDyckJVlZWiI6OhouLi1wQXRPqKHdNbNiwAWKxGHFxcZVuS6HKOlF2Oqbk/FTRvkPq8q46UYR0oyotLQ1RUVEwNDSEvr4+7Ozs0L9//wqnZ9+7dw+pqalyn7ekpASDBw9GbGysSkdHFclKe/78ecTHxyMwMBB9+vTBkiVL8Oeff6Jnz56YMGGCzGssXLgQIpEIvXr1wpEjR4S1T3369MHnn38OQ0NDlW+nIL1+eePGjXBxcYFIJBI6CB0cHN65EXhKSgoGDRoEJycneHh4ICoqSun1JJIEBdJZAoGyTJVDhgyBtbU1mjRpIkzpfPXqFWbMmAETE5Mq1xzV1N69e6Gjo4P/+7//U6hTrbi4WCYoHT58OGJiYjB06FA0adJEqaD0XddfyXcXHx8PAwMDWFpawtTUVO37NylTJ+WvYwcOHEBBQQHCwsLQuXNnuSCsLsrMzERQUBC6du1arX3aqnpdSXD3119/YdGiRdDV1VXo+1M0r8D9+/fh5eWFxo0bY8eOHUhOTkZMTAwMDAyUHp1+H3AA9h5TdF771KlT5bJ+KeLq1avw9/eHr6+vTDadZ8+eYcuWLYiJiYGzs3ONTqA9e/aEWCxGq1atarzBalUjgpIer7y8PGRkZODJkye4e/fuOxt7lWUC8vb2homJibAo+fDhw2jdujUsLCzQrl07ODs7v7MhIK2iESrJOgKg7OKWlpamsrTcL168EDZKjI6OrvbrSHoVDx48iK+//hqHDx/GgAED0LNnT2zbtg3nzp2DtbW1EDxWN4CUPvmrsmcPKOu5DwgIENYirF+/XmWvrc5yS1P0t71hwwbUr18f0dHRVTbsVVUnykzH7NKlS7XOU4qo6jUVqRPJ7ZWNJpR//QcPHuD69evIzc1VarSjoKAAsbGxaNWqlcoWmf/zzz/CCKOiW4NITxdNT0+HtbU1jh8/LjxuzZo1qFevHlatWgVfX198+umn2LZtG3bv3o2AgAAMGTJE6am77ypT+dtLS0tRXFyMX375BUlJSTh//rzC07hqGtRWlKBg/vz50NPTw5UrV3D//n20adMGzs7OsLW1RWBgIExMTDSyWawkBfmIESMUntlw9uxZDBgwAB07doS7u7vCm6pLq+r6K7ktLy8PWVlZyM7OxuXLl9W+zYTEu+qksutY9+7dcfDgQRQUFGD48OHo3r07lixZovIppKqWkZGBQYMGqXxLE0lw17x5c9SrV0+hfeuUzStw//59+Pj4QFtbG127dsW3336rVFvqfcIB2HtOHfPapWVmZsLf3x/+/v44efKk3P3V7Q2SnJAPHjyItm3bYs+ePTK3V4cyma6q2o9FWmUXWkk6cV9fX3h7e2P16tXYvXs3Tp06hVu3btUoqUJl0wRV7fnz59i8ebPSx8e9e/eE70vi8ePHsLOzQ2JiInJycjBgwAB4enri0KFDKCwsRGpqKk6dOlWjC66qe/akj7UTJ04gKioKBgYGSjc83kVdPZKAYo3r8hITE9G0adMKOx/UUSeano4pOT5XrlyJy5cvK5Q5sKo6ycjIQHBwsLCOSV0jmFu3bsXEiRPRokULlTXU09PT0bFjR0RGRgqfTZHjRPKY0tJSbN26FVpaWjLPu3//vjAVKS0tDT4+PujatSsyMzNRXFys8Pm1vBs3bsgkJ1FXXVe015OypBMUhIeHyyUoePToEX744QdMnz4d27dvr/bx/fjxY6XPm0lJSWjRokWVW3KUJ51spjr1rsj1d8WKFfD19a3RlHdANXXyruvY48ePMWDAAHh4eAhB2ODBg+Hj46OyjI3qVNM6rszVq1fRt29fpZKuKZtX4NatW/Dx8UGHDh3UMl23ruAA7D2n6nntFZHuxZfO6qcK2dnZsLGxQWxsbI1fS9ERwejoaKUuuuUzATVr1gzJyclCUoK1a9fC1tYWpqam8PDwUEmjQVUjVO+ibOND+kTau3dvJCUlCQHcvn370KNHDzx+/Bjp6ekYMGAAevXqhX//+98qK6+qe/bKf35FktRUhzp6JKvbuAZQYfICCXXUiaamY166dAnm5ubo2bMnGjZsCDc3N2HR/7vqpqI6uXnzJszNzaGnpwc/Pz+1BWFXr16Fl5cX+vfvr7Jpe/fu3YOrqyvMzc3RpUsXfPPNN0ofJwDw3//+F/Xr10dycrLccyX18K9//Qtubm412uMrMzMTxsbGaNmyJebNmyf3HnVRZZ0Lqpqmlp6eDltbW4wePVrpdTbKZtWraVCqrutveaqoE2WvY15eXti9ezcKCws1NmpXlym7HUZ18grcuXNH5SN4dQ0HYB8IVcxrr4o6e/G3bt0KfX19pKSk1Pi11DUiKH2hXbx4sdz9L1++xB9//KHSPYuqO0KlTnfu3IGrqyu6desGFxcXjBw5EhYWFli7di2SkpIQFBQkZJy6cuUKPvnkE/Tp06fKBr+y1NWzp26qLLeqGteapO7pmDdv3oSFhQViYmLw8uVL5OXloW/fvvD396/W6+Xl5SEsLAyDBg3CmjVr4OXlBW9vb7UFYTk5OSr9nWzbtg2+vr64cOECpk+fDmdnZ5njRNHyS2fLqywhQ2RkJAYPHiz0aCsrNzcXQUFB+OyzzzB27Fh06dIFc+fOFe6vy0FYZZ0LNf0dZmVloUuXLrC1tYWbmxsmT56sdMChaeqekaOqOqnOdSwwMFAt22J8LDSRV+B9wwHYB0TdFyl1zSvOysqCl5eXwtkOq6LOEcHKLrTqXJRbFxvTmZmZGDBgAD777DPs3r0be/fuhZeXFz777DOIRCJ07txZCDauXr2qku+VyVJV41rT1NWRU1hYiJkzZ+KLL77A8+fPhTUaKSkpMDExqXYa9FWrVgkbFO/evRuenp5qDcJU6enTpzLpt6Ojo4XjRLJWSvr8UtW6lp9++gk6OjpyDesXL15g6tSpaNy4sVJTksp7/fo1xowZgz179uCff/7B5MmTqwzC6tp5UR2dC3v27IGvry8uXryI+Ph4ODk5YfLkycL1t67VAaD+GTmqrBO+jmmeJvIKvE84APuAqGJe+7uoa/RB1fv+qGtEUFNJFeq6q1evIjAwEH5+frh27Rpev36NM2fOICgoCFu2bAFQNxsIHwpVNq41TR0dOcXFxZg/fz7Wrl0rc/vly5fRsGHDCnvdqwqeKjp2S0tLkZycDC8vL/Tq1UsIwt6+fav0thC1paJgPTEx8Z3T1aSz5dnZ2WH48OEYPXo0goKC0LJlyxo1mCR1LT26kJOTg0mTJqFLly6YM2eOcHtdHv1WdefCy5cvcezYMeHvhQsXCgFHRSORdek3rq7rr6rrhK9jmqeuvALvIw7A2AdLXb3T6pyO+T7JzMyEn58f/Pz8PupgtK6obuO6NqijIS29l5Dkt//kyRO0bdtWZgTs5MmTCiWJqCiLKlA2GiSZjnjr1i2MHTtWpre8tlWW8llCcpzExsZi+PDhEIvFCk+dlmTLc3BwgIeHB6Kjo1WySbR0I1fSAHvy5IkQhM2dOxeFhYUYPny4WhMT1ZS6ZolILFq0CI6OjjKjPosXL67R2jt10dTocE3rhK9jmqfOvALvEw7A2AdLnSOC6r7Qvi+kT6TS0zKZeqizcf2+Kl8n0n9nZ2fD1NRU2Oh0xowZaNu2LR49eiT3OpJR+PKBlHTac4nk5GR4e3vDwMAABgYGOHv2rGo+TA1JZy8snyxAOoicPn066tWrh0aNGik9eqXKkZbyryX5W/I5JEFYt27d4ODgAF1d3TpT15WpaSBe/nguLS2VuU0y9W7SpEkICQmBWCxW695i1aXK66+664SvY5rHHdkcgDFWbXWlx7u28YlUMzTRuH7fVFUnQFk6Yz09Pdy6dQtz585F/fr1cf78ebnHZWVloX379sKC/qKiInz11Vdyj5XeCLhXr141XvukLqGhofjss8/k6kTSaJ0wYUK1y66qhrX0d7d48WK5aeiS+x88eABbW1s0btwYly5dqvb7vQ+k66R8x4n0b3zhwoXCb/xD3SNJQlN1wtcxzfvYO7LFxBirFh0dndouQp1ga2tLixcvJlNTU2rVqlVtF+eDJRKJiIgoLCyMxo0bR48ePRLu09LSotLSUiIiev36NTVs2JD++OMPcnJyqpWyakpVdUJE1KBBA7KxsaGYmBiaP38+nT59mlxdXSt8ncLCQoqKiqKioiLKyMigCxcu0Jo1a6ikpETmccXFxTR//nw6e/YsnThxgjp27KjeD1kNZmZm1KxZM2rYsKHM7WKxmHbv3k2JiYl09OjRapVdUufl/6+IJ0+eUGpqKv3555/Cczdv3kzx8fG0bt06ufcpLCykxYsX08OHD+nUqVPUqVMnpcv7PgBARGWfuaSkhEaMGEFjxoyh27dvC4+R/o0/fPhQ+I07OjrWRpHVTtN1wtcxzbOzs6Pt27eTubl5bRelVmjXdgEYY+8/yYmUg1L1MzMzIx0dnSob16mpqXUyMFCXyuqkuLiYrly5Qvfu3aMzZ85U2DADQC1btqRx48bRv//9bzpy5Aj17t2bNm/eTNbW1qSlpSXzeG1tbWrevDmlpKTUekAAgEQiET1//ly4zcjIiOLi4ujVq1dkYGAg95wBAwbQ/fv3qXXr1hosKVF6ejqNGjWKDAwMSE9Pj3bu3ElaWlr0+eefk7a2Nn366adyzxGLxfTgwYMPNvh6+/YticViysnJoRYtWlD9+vVJS0uLOnbsSPXq1aOmTZvKPF4sFtN//vMfWrlyJZ0/f/6D/I3XZp3wdUzzPua6FkHSzcAYY6zOqKxxTUSVNq6JiB48eKDxxrWmKFsneXl5FBERQZGRkWRnZydzX25uLjVp0kT4+8WLF9SrVy9q2rQpHTlyRO69Hz16RCYmJqr7MDUkqYt9+/bRqlWr6ObNm+Tk5EQuLi4UHR0t89ikpCRydnYmW1tbmedqypUrV8jDw4PGjRtHo0ePJlNTUxKLxVRSUiIX4BJRpbd/SDIyMig2NpYyMzPp6tWrZG9vT76+vhQfH09ERG/evCE9Pb0Kn/v48WNq3ry5JourEVwn7GPCUxAZY6yOkW5cBwcHk6urK4WHh9PChQuJiGQCjaSkJLp+/brw94c6fUbZOrl69Srp6+vTunXr5IKvW7duka2tLfXt25eys7MpLy+PDA0NacOGDXT69GlatGiRzOPXrl1Lzs7OdPnyZfV/UAWJRCI6ePAgBQcHk7+/P61du5bMzc1pxowZdPLkSeFxJ06coClTplBCQgIVFRUJz9WU3NxcGjNmDIWEhNC8efPI3NycxGIxAagwyFqyZAmFhoZSYWGhxsqoaWlpadStWzcyMTGhiIgI2rlzJ1lYWFBCQgL17t2bioqKZAKNrVu30l9//SX83axZs9ootlpxnbCPTq2sPGOMMValAwcOQFdXF0uXLsWRI0cwefJkiEQinDhxQnjM8ePHYWpqivHjx6OwsLD2Cqsh1amTihJFZGZmwsjICCKRCH5+fliyZAkuXrwIAJg6dSqcnJzwxx9/CI8/ePAg+vXrV6cySr59+xZffPEF5s+fD6AsY6CpqSkmTJgg99iEhAQhE6SmXblyBdbW1jh58mSFWTylv5/8/HxERkbC3d29wkyVH4LHjx/DyckJ0dHRcrcnJiZCT08PwcHBwu1nzpyBhYUFhg8f/sEmfuI6YR8jDsAYY6yOeV8a15pU0zqRNPQl+0ytWLECkyZNQmxsLMaMGQMnJyfs378fKSkp6NixI2bOnCkTMEjvM1YXFBYWwsXFBXv27MHDhw/RunVrhIeHC/fv3Lmzwo1ONW379u3Q1tYW6r+iICwvLw/nzp0T/i/Zx+5D9Ndff8He3h5paWlCFj9JnTx//hxxcXHQ09PDnj17hOds2bLlg/6Nc52wjxFPQWSMsTpGS0uLMjMzqX379vTo0SNydHSkwMBASkhIICKiXbt20alTp4iIaMKECWRlZVWbxdWImtZJXl4eEZUl0SAicnBwoIyMDOrevTstX76cRowYQSEhIfTbb7+RqakpJSQkUFpamvD8ytaeaMLjx4/p/PnzMlML3759SxYWFnT+/Hlyd3en3r17C5kE//nnH/r111/p5s2bMlkca4OlpSVpa2vT7t27iagsaUJ5GzdupJiYGHr79i3p6emRsbGxpoupMRcvXqQbN26Qvb09aWlpEQChTgwNDWno0KFUr149unHjhvCckJCQD/o3znXCPkYcgDHGWC16nxvX6qLqOsnOzqYOHTpQTEwM3bt3j4iIPD09yd3dnYYNG0ZPnz6l//3f/6UDBw5QZmYmaWtr04sXL2jGjBm1XsdpaWnk7+9PQ4YMoUGDBlFAQAABoEaNGpGfnx8tWLCAWrduTStWrBDWdi1fvpx+++036tWrV60ns7CwsKBGjRrRli1b6O7du8LtkMr/defOHXJxcSFdXd3aKKJG2djYEBFRcnIyEcmvx2vTpg1ZWVnRgwcPNF622sJ1wj5KtTsAxxhjH69Lly7B0dERVlZWaNq0Kfz9/YWpWmvXroVIJIKHhwfevHkjPGfGjBmwsbHBrVu3aqvYaqWOOnn27BnmzJkDIyMj+Pj4YPny5cJ9oaGhCA0NxfPnzwEAOTk5OHXqFIKCgoR1YbXlwoUL0NfXx7Rp03D+/HksWbIEIpEI06ZNEx4TFxcHLS0thIeHY/To0Rg2bBgMDQ3r1Aa9ycnJqF+/PkJCQnDlyhXh9ry8PEyfPh0WFha4du1aLZZQc+7fv4/mzZujb9++MhvQSqbc5ebmonv37ti6dWttFVHjuE7Yx4gDMMYYqwUfSuNaldRdJ1euXMGgQYNgY2MDLy8vXL16FTt37kRoaCiOHDki89iKkndo0vXr16Grq4vY2FjhtidPnqBp06YICQmReezGjRvx5ZdfwtvbG5MnT0Z6erqmi1ulkpISrF27Ftra2mjXrh3CwsIwduxY9O3bF82bN8dff/1V20XUqOTkZOjo6GDYsGG4fPmyzH2xsbGwtLTEnTt3aql0tYPrhH1seB8wxhjTsBs3blCnTp1oypQpFBcXR0Rl0+js7Oyod+/etGXLFuGxmzZtoqNHj1J2djY5OjrSyJEjqX379rVVdLXRVJ3k5ubSH3/8QTNnzqQXL17Q559/TkeOHCEXFxdhSmNtKy0tpdjYWNqwYQPNmDGDIiIiiIho0aJFNH36dHJ1daXevXuTSCSiUaNGyexPVlpaWuE6q7rg3LlztHjxYrp58ybp6+uTu7s7jRgxQtif7GNRUlJCGzZsoPHjx5O1tTW5u7uTiYkJ3blzh3755Rc6evQoOTk51XYxNYrrhH1stGu7AIwx9jEpLS2ljRs3koGBATVt2lS4/fvvv6fc3Fy6evUqzZ49W2hch4WFUVhYmPDcutq4rglN1kmTJk0oKCiIgoKCaNKkSXThwgXKzs6m9evXk5ubG40cOVLln09ZYrGYxo8fT2/evKEff/yR6tevT69evaL4+HiaN28eOTg40OHDhyklJYXWr19P+vr6FBUVRcOHD6/Tx0fnzp0pKSmpTpdRE7S0tGj06NHk6OhI8fHxlJKSQkZGRuTo6EinT5+W27fuY8B1wj42PALGGGMa9vDhQ4qPj6ezZ89SaGgovXr1ihYtWkRTpkyRaVxnZWXJNK4/ZJqsE/z/TZ2JiE6ePEm//vorrV69ms6dO1enGnrZ2dk0b948OnLkCN28eZMOHz5M3t7eMo/ZvXs3paSkUEhICNnb29dSSRUnXffS//9YlZSUkFgsJpFI9MF2sCiL64R9DDgAY4yxWvAhNq5rSpN1Ur7x//LlS2rUqFG1X09dcnJyaP78+XTy5EkaNmwYRUZGEhFRQUEB1a9fn4g4kHmfcUAqj+uEfQw4AGOMsVrCjWt5XCfyJIHp+fPnqX///hQVFUVEZSMFtZ1mnjHGmPI4AGOMsVrEjWt5XCfyJHXy999/k4+PD82ZM6e2i8QYY6yaOABjjLFaxo1reVwn8rKzs2n69OmUlZVFP/74o0zCEsYYY+8PDsAYY6wO4Ma1PK4TeTk5OURE1KJFi1ouCWOMseriAIwxxuoIblzL4zphjDH2oeEAjDHGGGOMMcY0hDdXYIwxxhhjjDEN4QCMMcYYY4wxxjSEAzDGGGOMMcYY0xAOwBhjjDHGGGNMQzgAY4wxxhhjjDEN4QCMMcYYY4wxxjSEAzDGGGOMMcYY0xAOwBhjjH1Qvv76axKJRHL/bty4UePX3rx5MxkZGdW8kIwxxj5a2rVdAMYYY0zVAgICaNOmTTK3NWvWrJZKU7GioiKqV69ebReDMcaYhvEIGGOMsQ9O/fr1qWXLljL/tLS0aP/+/eTi4kK6urpkZWVFc+bMoeLiYuF5y5Yto06dOpG+vj6ZmZnRuHHj6PXr10REdPLkSQoLC6MXL14Io2qzZ88mIiKRSER79+6VKYORkRFt3ryZiIju3LlDIpGIdu7cSV5eXqSrq0vbtm0jIqJNmzZR+/btSVdXl+zs7Gj16tXCaxQWFtL48ePJxMSEdHV1ydLSkhYsWKC+imOMMaZ2PALGGGPso3D48GH66quvKCEhgXr06EE3b96kUaNGERHRrFmziIhILBZTQkICWVpa0u3bt2ncuHE0bdo0Wr16NXXv3p2+++47mjlzJl27do2IiBo2bKhUGaKiomjp0qW0adMmql+/Pq1fv55mzZpFiYmJ5OTkRH///TeFh4eTvr4+hYaGUkJCAu3bt4927txJ5ubmdP/+fbp//75qK4YxxphGcQDGGGPsg3PgwAGZ4CgwMJBycnIoOjqaQkNDiYjIysqK4uLiaNq0aUIAFhERITynTZs2FBcXR2PHjqXVq1eTjo4OGRoakkgkopYtW1arXBERETRgwADh77i4OFq6dKlwW5s2bSg9PZ3WrVtHoaGhdO/ePbK1tSUPDw8SiURkYWFRrfdljDFWd3AAxhhj7IPTq1cvWrNmjfC3vr4+2djY0Pnz52nevHnC7SUlJZSfn09v3rwhPT09OnHiBM2fP5/S09Pp5cuXVFxcTPn5+ZSXl0f6+vo1Lperq6vw/ydPntD9+/dpxIgRFB4eLtxeXFxMhoaGRFSWUMTX15fatWtHAQEBFBQURH5+fjUuB2OMsdrDARhjjLEPjiTgklZaWkpz5syRGYGS0NXVpbt371Lv3r1pzJgxFBcXR02aNKHff/+dRowYQUVFRVW+n0gkIgAyt1X0HOkgrrS0lIiI1q9fT126dJF5nJaWFhEROTs70+3bt+mXX36ho0eP0ueff06ffPIJ/fTTT1WWhzHGWN3FARhjjLGPgrOzM127dk0uMJNITU2l4uJiWrp0KYnFZTmqdu7cKfMYHR0dKikpkXtus2bN6NGjR8Lf169fpzdv3lRZnhYtWlDr1q3p1q1bNHTo0Eof16hRIwoODqbg4GAaNGgQBQQEUG5uLjVp0qTK12eMMVY3cQDGGGPsozBz5kwKCgoiMzMzGjx4MInFYrp06RKlpaXRt99+S9bW1lRcXEwrV66kPn360OnTp2nt2rUyr2FpaUmvX7+mY8eOkYODA+np6ZGenh55e3tTYmIide3alUpLSykqKkqhFPOzZ8+miRMnUqNGjSgwMJAKCgooNTWVnj17RpMnT6bly5eTiYkJOTo6klgspl27dlHLli15LzLGGHuPcRp6xhhjHwV/f386cOAAHTlyhNzc3Khr1660bNkyIbGFo6MjLVu2jBYtWkT29va0fft2uZTv3bt3pzFjxlBwcDA1a9aM4uPjiYho6dKlZGZmRj179qQvv/ySpkyZQnp6eu8s08iRI2nDhg20efNm6tSpE3l6etLmzZupTZs2RFSWZXHRokXk6upKbm5udOfOHTp06JAwQscYY+z9I0L5SeuMMcYYY4wxxtSCu9AYY4wxxhhjTEM4AGOMMcYYY4wxDeEAjDHGGGOMMcY0hAMwxhhjjDHGGNMQDsAYY4wxxhhjTEM4AGOMMcYYY4wxDeEAjDHGGGOMMcY0hAMwxhhjjDHGGNMQDsAYY4wxxhhjTEM4AGOMMcYYY4wxDeEAjDHGGGOMMcY0hAMwxhhjjDHGGNOQ/weAm5Q9h67PIAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Cr:1 - Importance: 0.19784723590824416\n", + " Ni:1 - Importance: 0.18596904657317534\n", + " Al:1 - Importance: 0.15788755772614563\n", + " Co:1 - Importance: 0.15250227838187091\n", + " Re:1 - Importance: 0.08479998072544301\n", + " Ta:1 - Importance: 0.07271880690434353\n", + " Ti:1 - Importance: 0.060060013408356525\n", + " Mo:1 - Importance: 0.02718978744844767\n", + " H:1 - Importance: 0.010426918271116553\n", + " W:1 - Importance: 0.006289454792955566\n", + " H:2 - Importance: 0.005897425345252033\n", + " Re:1 H:1 - Importance: 0.00465913098302031\n", + " W:2 - Importance: 0.0038240657424523086\n", + " Hf:1 - Importance: 0.0035663220566077617\n", + " Re:2 H:1 - Importance: 0.0029646637870590657\n", + " W:1 C:1 - Importance: 0.0028636358542770694\n", + " Si:1 - Importance: 0.002538794667727819\n", + " Re:1 C:1 - Importance: 0.0020527517945478652\n", + " Ga:1 - Importance: 0.001957461356752481\n", + " C:1 O:2 - Importance: 0.0018187949015307575\n", + " C:1 - Importance: 0.0016724452959576788\n", + " Fe:1 - Importance: 0.0016466104552655297\n", + " O:1 H:2 - Importance: 0.0015962521514154156\n", + " O:1 - Importance: 0.0014328171973301948\n", + " Cu:1 - Importance: 0.0012379907017401402\n", + " O:1 H:1 - Importance: 0.0010797354764553715\n", + " Mn:1 - Importance: 0.0009012588572968029\n", + " V:1 - Importance: 0.0008283202092097516\n", + " P:1 - Importance: 0.0007827363627687628\n", + " B:1 - Importance: 0.0005779954562036247\n", + " Nb:1 - Importance: 0.0004097112070303778\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4300277423dc4a308f965a71f9feb15c", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/10 [00:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sorted_chem_idx = comps.auto_phase_assign(\n", + " data.chunk_files[0], \n", + " data.voxel_ratio_file,\n", + " initial_guess_phases,\n", + " plot=plot, # Keyword argument\n", + " print_importance=print_importance, # Keyword argument\n", + " modified_comp_analysis=modified_comp_analysis, # Optional keyword argument\n", + " n_trunc_spec=n_trunc_spec # Optional keyword argument\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "2a1081ef", "metadata": { "tags": [] }, @@ -324,7 +516,8 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 22, + "id": "c0cc67c1", "metadata": {}, "outputs": [], "source": [ @@ -333,6 +526,7 @@ }, { "cell_type": "markdown", + "id": "9308031c", "metadata": {}, "source": [ "# 3. Postprocessing\n", @@ -355,16 +549,18 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 23, + "id": "626c4093", "metadata": {}, "outputs": [], "source": [ - "pdata = DataPostprocess(\"experiment_params.yaml\")" + "pdata = DataPostprocess(test_directory + \"/experiment_params.yaml\")" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 24, + "id": "2d47c300", "metadata": { "jupyter": { "outputs_hidden": true @@ -375,12 +571,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "32c013dd7cc9409083738a77761edc79", + "model_id": "95b19c842bba4c4b9c0efaf697c655e3", "version_major": 2, "version_minor": 0 }, "text/plain": [ - " 0%| | 0/31 [00:00" ] @@ -398,17 +594,107 @@ } ], "source": [ - "pdata.DBSCAN_clustering(comps.voxel_centroid_output_file, cluster_id = 0,\n", + "pdata.DBSCAN_clustering(comps.voxel_centroid_output_file, cluster_id = 1,\n", " plot=True, plot3d=True, save=True)" ] }, { "cell_type": "code", - "execution_count": null, - "id": "fb6414fa", + "execution_count": 18, + "id": "ab9cfc29", "metadata": {}, "outputs": [], "source": [] + }, + { + "cell_type": "markdown", + "id": "f2bc4b64", + "metadata": {}, + "source": [ + "# 3. Composition Analysis\n" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "d826c16b", + "metadata": {}, + "outputs": [], + "source": [ + "with h5py.File(main_directory + \"/\"+ data.voxel_ratio_file , \"r\") as hdfr:\n", + " ratios = np.array(hdfr.get(\"vox_ratios\"))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "dc897526", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Ni:1')" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plot the two chemical species with highest relative importance\n", + "plt.scatter(ratios[:,sorted_chem_idx[0]],ratios[:,sorted_chem_idx[1]] ,s =0.005)\n", + "\n", + "plt.xlabel(data.chemical_species[sorted_chem_idx[0]])\n", + "plt.ylabel(data.chemical_species[sorted_chem_idx[1]])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "1fb93b12", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Voxel frequency')" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# voxel frequency plot for the chemical species \n", + "# with highest relative importance\n", + "\n", + "plt.hist(ratios[:,sorted_chem_idx[0]], bins = 200);\n", + "plt.xlabel(f\"composition {data.chemical_species[sorted_chem_idx[0]]}\")\n", + "plt.ylabel(\"Voxel frequency\")\n" + ] } ], "metadata": { diff --git a/tests/experiment_params.yaml b/tests/experiment_params.yaml index e7995ca..f8e6c90 100644 --- a/tests/experiment_params.yaml +++ b/tests/experiment_params.yaml @@ -14,5 +14,5 @@ ml_models: max_depth: 0 n_estimators: 0 DBScan: - eps: 3 - min_samples: 5 \ No newline at end of file + eps: 5 + min_samples: 25 \ No newline at end of file