From 637427325c248a6746c7a7fff9a1ba3a74915bc3 Mon Sep 17 00:00:00 2001
From: veenstrajelmer <jelmer.veenstra@deltares.nl>
Date: Fri, 11 Oct 2024 02:02:03 +0200
Subject: [PATCH] updated docs

---
 docs/examples/minimal_example.py             |   11 +-
 docs/examples/retrieve_parallel_to_netcdf.py |   15 +-
 docs/notebooks/measurements.ipynb            | 2661 +++++++++---------
 3 files changed, 1406 insertions(+), 1281 deletions(-)

diff --git a/docs/examples/minimal_example.py b/docs/examples/minimal_example.py
index b3469f0..133e121 100644
--- a/docs/examples/minimal_example.py
+++ b/docs/examples/minimal_example.py
@@ -10,14 +10,17 @@
 
 #select a set of parameters 
 # Filter the locations dataframe with the desired parameters and stations.
-bool_stations = locations.index.isin(['IJMDBTHVN', 'DANTZGZD','HOEKVHLD'])
-# measured (WATHTE) versus computed/astro
+bool_stations = locations.index.isin(['ijmuiden.buitenhaven', 'dantziggat.zuid', 'hoekvanholland', 'ameland.nes'])
+# meting/astronomisch/verwachting
+bool_procestype = locations['ProcesType'].isin(['meting'])
+# waterlevel/waterhoogte (WATHTE)
 bool_grootheid = locations['Grootheid.Code'].isin(['WATHTE'])
 # timeseries (NVT) versus extremes
-bool_groepering = locations['Groepering.Code'].isin(['NVT'])
+bool_groepering = locations['Groepering.Code'].isin([''])
 # vertical reference (NAP/MSL)
 bool_hoedanigheid = locations['Hoedanigheid.Code'].isin(['NAP'])
-selected = locations.loc[bool_stations & bool_grootheid & 
+selected = locations.loc[bool_procestype &
+                         bool_stations & bool_grootheid & 
                          bool_groepering & bool_hoedanigheid]
 
 start_date = dt.datetime(2023, 1, 1)
diff --git a/docs/examples/retrieve_parallel_to_netcdf.py b/docs/examples/retrieve_parallel_to_netcdf.py
index 7ce5c35..fced612 100644
--- a/docs/examples/retrieve_parallel_to_netcdf.py
+++ b/docs/examples/retrieve_parallel_to_netcdf.py
@@ -13,7 +13,6 @@
 
 
 def get_data(location, start_date, end_date, dir_output, overwrite=True):
-    
     station_id = location.name
     station_messageid = location["Locatie_MessageID"]
     filename = os.path.join(dir_output, f"{station_id}-{station_messageid}.nc")
@@ -44,19 +43,18 @@ def get_data(location, start_date, end_date, dir_output, overwrite=True):
     ds.to_netcdf(filename, format="NETCDF4_CLASSIC")
 
 
-if ( __name__ == "__main__" ):
-    
+if __name__ == "__main__":
     dir_output = './ddl_retrieved_data'
     os.makedirs(dir_output, exist_ok=True)
     
     # get locations
     locations = ddlpy.locations()
-    bool_stations = locations.index.isin(['IJMDBTHVN', 'DANTZGZD', 'HOEKVHLD', 'VLISSGN', 'HOEK', 'VLIS', "OLST"])
-    bool_grootheid = locations['Grootheid.Code'].isin(['WATHTE']) # measured (WATHTE) versus computed/astro
-    bool_groepering = locations['Groepering.Code'].isin(['NVT']) # timeseries (NVT) versus extremes
+    bool_stations = locations.index.isin(['ijmuiden.buitenhaven', 'dantziggat.zuid', 'hoekvanholland', 'ameland.nes', 'vlissingen', 'olst'])
+    bool_procestype = locations['ProcesType'].isin(['meting']) # meting/astronomisch/verwachting
+    bool_grootheid = locations['Grootheid.Code'].isin(['WATHTE']) # waterlevel (WATHTE)
+    bool_groepering = locations['Groepering.Code'].isin(['']) # timeseries (NVT) versus extremes
     bool_hoedanigheid = locations['Hoedanigheid.Code'].isin(['NAP']) # vertical reference (NAP/MSL)
-    selected = locations.loc[bool_stations & bool_grootheid & bool_groepering & bool_hoedanigheid]
-    
+    selected = locations.loc[bool_stations & bool_procestype & bool_grootheid & bool_groepering & bool_hoedanigheid]
     
     start_date = dt.datetime(2022, 1, 1)
     end_date = dt.datetime(2022, 3, 1)
@@ -70,7 +68,6 @@ def get_data(location, start_date, end_date, dir_output, overwrite=True):
         for station_code, location in selected.iterrows():
             executor.submit(get_data, location, start_date, end_date, dir_output)
 
-    
     file_list = glob.glob(os.path.join(dir_output, "*.nc"))
     fig, ax = plt.subplots()
     for file_nc in file_list:
diff --git a/docs/notebooks/measurements.ipynb b/docs/notebooks/measurements.ipynb
index 91905d0..012dbae 100644
--- a/docs/notebooks/measurements.ipynb
+++ b/docs/notebooks/measurements.ipynb
@@ -39,7 +39,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.rijkswaterstaat.nl/METADATASERVICES_DBO/OphalenCatalogus with request: {\"CatalogusFilter\": {\"Eenheden\": true, \"Grootheden\": true, \"Hoedanigheden\": true, \"Groeperingen\": true, \"Parameters\": true, \"Compartimenten\": true}}\n"
+      "DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.beta.rijkswaterstaat.nl/test/METADATASERVICES/OphalenCatalogus with request: {\"CatalogusFilter\": {\"Eenheden\": true, \"Grootheden\": true, \"Hoedanigheden\": true, \"Groeperingen\": true, \"Parameters\": true, \"ProcesTypes\": true, \"Compartimenten\": true}}\n"
      ]
     }
    ],
@@ -83,17 +83,19 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Locatie_MessageID</th>\n",
+       "      <th>Lat</th>\n",
+       "      <th>Lon</th>\n",
        "      <th>Coordinatenstelsel</th>\n",
-       "      <th>X</th>\n",
-       "      <th>Y</th>\n",
        "      <th>Naam</th>\n",
+       "      <th>Omschrijving</th>\n",
        "      <th>Parameter_Wat_Omschrijving</th>\n",
+       "      <th>ProcesType</th>\n",
        "      <th>Compartiment.Code</th>\n",
        "      <th>Compartiment.Omschrijving</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Grootheid.Omschrijving</th>\n",
        "      <th>Eenheid.Code</th>\n",
        "      <th>Eenheid.Omschrijving</th>\n",
-       "      <th>Grootheid.Code</th>\n",
-       "      <th>Grootheid.Omschrijving</th>\n",
        "      <th>Hoedanigheid.Code</th>\n",
        "      <th>Hoedanigheid.Omschrijving</th>\n",
        "      <th>Parameter.Code</th>\n",
@@ -123,187 +125,242 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>ROTTMPT3</th>\n",
-       "      <td>9486</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>735924.084551</td>\n",
-       "      <td>5.941073e+06</td>\n",
-       "      <td>Rottumerplaat 3 km uit de kust</td>\n",
-       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
-       "      <td>BS</td>\n",
-       "      <td>Bodem/Sediment</td>\n",
-       "      <td>%</td>\n",
-       "      <td>procent</td>\n",
-       "      <td>KGF</td>\n",
-       "      <td>Korrelgroottefractie</td>\n",
-       "      <td>Dg0016dg</td>\n",
-       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>ROTTMPT3</td>\n",
+       "      <th>fortcrevecoeur</th>\n",
+       "      <td>2258</td>\n",
+       "      <td>51.733567</td>\n",
+       "      <td>5.269946</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Fort Crevecoeur</td>\n",
+       "      <td>monding van de Dieze</td>\n",
+       "      <td>(massa)Concentratie fosfor totaal in Oppervlak...</td>\n",
+       "      <td>meting</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>(massa)Concentratie</td>\n",
+       "      <td>mg/l</td>\n",
+       "      <td>milligram per liter</td>\n",
+       "      <td>P</td>\n",
+       "      <td>uitgedrukt in fosfor</td>\n",
+       "      <td>Ptot</td>\n",
+       "      <td>fosfor totaal</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>fortcrevecoeur</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SCHOUWN10</th>\n",
-       "      <td>9510</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>534120.858324</td>\n",
-       "      <td>5.729921e+06</td>\n",
-       "      <td>Schouwen 10 km uit de kust</td>\n",
-       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
-       "      <td>BS</td>\n",
-       "      <td>Bodem/Sediment</td>\n",
-       "      <td>%</td>\n",
-       "      <td>procent</td>\n",
-       "      <td>KGF</td>\n",
-       "      <td>Korrelgroottefractie</td>\n",
-       "      <td>Dg0016dg</td>\n",
-       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
+       "      <th>bremerhaven</th>\n",
+       "      <td>716</td>\n",
+       "      <td>53.549304</td>\n",
+       "      <td>8.565444</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Bremerhaven</td>\n",
+       "      <td>Bremerhaven</td>\n",
+       "      <td>Waterhoogte astronomisch in Oppervlaktewater t...</td>\n",
+       "      <td>astronomisch</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>centimeter</td>\n",
+       "      <td>NAP</td>\n",
+       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>SCHOUWN10</td>\n",
+       "      <td>GETETBRKD2</td>\n",
+       "      <td>Getijextreem berekend</td>\n",
+       "      <td>bremerhaven</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>TERSLG235</th>\n",
-       "      <td>9518</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>509938.998556</td>\n",
-       "      <td>6.113888e+06</td>\n",
-       "      <td>Terschelling 235 km uit de kust</td>\n",
-       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
-       "      <td>BS</td>\n",
-       "      <td>Bodem/Sediment</td>\n",
-       "      <td>%</td>\n",
-       "      <td>procent</td>\n",
-       "      <td>KGF</td>\n",
-       "      <td>Korrelgroottefractie</td>\n",
-       "      <td>Dg0016dg</td>\n",
-       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
+       "      <th>twenthekanaal.hoofdkanaalkm29p500</th>\n",
+       "      <td>12787</td>\n",
+       "      <td>52.224782</td>\n",
+       "      <td>6.585077</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Twenthekanaal, Hoofdkanaal km. 29.500</td>\n",
+       "      <td>Poelsbeek</td>\n",
+       "      <td>Gemiddelde Temperatuur in Oppervlaktewater in oC</td>\n",
+       "      <td>meting</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Temperatuur</td>\n",
+       "      <td>oC</td>\n",
+       "      <td>graad Celsius</td>\n",
        "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>TERSLG235</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>twenthekanaal.hoofdkanaalkm29p500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>WALCRN2</th>\n",
-       "      <td>9526</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>528394.396027</td>\n",
-       "      <td>5.710854e+06</td>\n",
-       "      <td>Walcheren 2 km uit de kust</td>\n",
-       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
-       "      <td>BS</td>\n",
-       "      <td>Bodem/Sediment</td>\n",
-       "      <td>%</td>\n",
-       "      <td>procent</td>\n",
-       "      <td>KGF</td>\n",
-       "      <td>Korrelgroottefractie</td>\n",
-       "      <td>Dg0016dg</td>\n",
-       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>WALCRN2</td>\n",
+       "      <th>zeelandbrug.noord</th>\n",
+       "      <td>3279</td>\n",
+       "      <td>51.626683</td>\n",
+       "      <td>3.909728</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Zeelandbrug, noord</td>\n",
+       "      <td>Zeelandbrug, noord</td>\n",
+       "      <td>Gemiddelde Waterhoogte in Oppervlaktewater t.o...</td>\n",
+       "      <td>meting</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>centimeter</td>\n",
+       "      <td>NAP</td>\n",
+       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>zeelandbrug.noord</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>GOERE6</th>\n",
-       "      <td>9542</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>560056.490959</td>\n",
-       "      <td>5.746818e+06</td>\n",
-       "      <td>Goeree 6 km uit de kust</td>\n",
-       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
-       "      <td>BS</td>\n",
-       "      <td>Bodem/Sediment</td>\n",
-       "      <td>%</td>\n",
-       "      <td>procent</td>\n",
-       "      <td>KGF</td>\n",
-       "      <td>Korrelgroottefractie</td>\n",
-       "      <td>Dg0016dg</td>\n",
-       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
+       "      <th>poeldonk.dungensebrug</th>\n",
+       "      <td>12277</td>\n",
+       "      <td>51.680673</td>\n",
+       "      <td>5.368564</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Poeldonk, Dungense Brug</td>\n",
+       "      <td>Poeldonk, Dungense Brug</td>\n",
+       "      <td>(massa)Concentratie perfluorundecaanzuur in Op...</td>\n",
+       "      <td>meting</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>(massa)Concentratie</td>\n",
+       "      <td>ug/l</td>\n",
+       "      <td>microgram per liter</td>\n",
        "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>GOERE6</td>\n",
+       "      <td>PFUdA</td>\n",
+       "      <td>perfluorundecaanzuur</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>poeldonk.dungensebrug</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>5 rows × 21 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "           Locatie_MessageID Coordinatenstelsel              X             Y  \\\n",
-       "Code                                                                           \n",
-       "ROTTMPT3                9486              25831  735924.084551  5.941073e+06   \n",
-       "SCHOUWN10               9510              25831  534120.858324  5.729921e+06   \n",
-       "TERSLG235               9518              25831  509938.998556  6.113888e+06   \n",
-       "WALCRN2                 9526              25831  528394.396027  5.710854e+06   \n",
-       "GOERE6                  9542              25831  560056.490959  5.746818e+06   \n",
-       "\n",
-       "                                      Naam  \\\n",
-       "Code                                         \n",
-       "ROTTMPT3    Rottumerplaat 3 km uit de kust   \n",
-       "SCHOUWN10       Schouwen 10 km uit de kust   \n",
-       "TERSLG235  Terschelling 235 km uit de kust   \n",
-       "WALCRN2         Walcheren 2 km uit de kust   \n",
-       "GOERE6             Goeree 6 km uit de kust   \n",
-       "\n",
-       "                                  Parameter_Wat_Omschrijving  \\\n",
-       "Code                                                           \n",
-       "ROTTMPT3   Korrelgroottefractie Bodem/Sediment diameter g...   \n",
-       "SCHOUWN10  Korrelgroottefractie Bodem/Sediment diameter g...   \n",
-       "TERSLG235  Korrelgroottefractie Bodem/Sediment diameter g...   \n",
-       "WALCRN2    Korrelgroottefractie Bodem/Sediment diameter g...   \n",
-       "GOERE6     Korrelgroottefractie Bodem/Sediment diameter g...   \n",
+       "                                   Locatie_MessageID        Lat       Lon  \\\n",
+       "Code                                                                        \n",
+       "fortcrevecoeur                                  2258  51.733567  5.269946   \n",
+       "bremerhaven                                      716  53.549304  8.565444   \n",
+       "twenthekanaal.hoofdkanaalkm29p500              12787  52.224782  6.585077   \n",
+       "zeelandbrug.noord                               3279  51.626683  3.909728   \n",
+       "poeldonk.dungensebrug                          12277  51.680673  5.368564   \n",
+       "\n",
+       "                                  Coordinatenstelsel  \\\n",
+       "Code                                                   \n",
+       "fortcrevecoeur                                ETRS89   \n",
+       "bremerhaven                                   ETRS89   \n",
+       "twenthekanaal.hoofdkanaalkm29p500             ETRS89   \n",
+       "zeelandbrug.noord                             ETRS89   \n",
+       "poeldonk.dungensebrug                         ETRS89   \n",
+       "\n",
+       "                                                                    Naam  \\\n",
+       "Code                                                                       \n",
+       "fortcrevecoeur                                           Fort Crevecoeur   \n",
+       "bremerhaven                                                  Bremerhaven   \n",
+       "twenthekanaal.hoofdkanaalkm29p500  Twenthekanaal, Hoofdkanaal km. 29.500   \n",
+       "zeelandbrug.noord                                     Zeelandbrug, noord   \n",
+       "poeldonk.dungensebrug                            Poeldonk, Dungense Brug   \n",
+       "\n",
+       "                                              Omschrijving  \\\n",
+       "Code                                                         \n",
+       "fortcrevecoeur                        monding van de Dieze   \n",
+       "bremerhaven                                    Bremerhaven   \n",
+       "twenthekanaal.hoofdkanaalkm29p500                Poelsbeek   \n",
+       "zeelandbrug.noord                       Zeelandbrug, noord   \n",
+       "poeldonk.dungensebrug              Poeldonk, Dungense Brug   \n",
+       "\n",
+       "                                                          Parameter_Wat_Omschrijving  \\\n",
+       "Code                                                                                   \n",
+       "fortcrevecoeur                     (massa)Concentratie fosfor totaal in Oppervlak...   \n",
+       "bremerhaven                        Waterhoogte astronomisch in Oppervlaktewater t...   \n",
+       "twenthekanaal.hoofdkanaalkm29p500   Gemiddelde Temperatuur in Oppervlaktewater in oC   \n",
+       "zeelandbrug.noord                  Gemiddelde Waterhoogte in Oppervlaktewater t.o...   \n",
+       "poeldonk.dungensebrug              (massa)Concentratie perfluorundecaanzuur in Op...   \n",
+       "\n",
+       "                                     ProcesType Compartiment.Code  \\\n",
+       "Code                                                                \n",
+       "fortcrevecoeur                           meting                OW   \n",
+       "bremerhaven                        astronomisch                OW   \n",
+       "twenthekanaal.hoofdkanaalkm29p500        meting                OW   \n",
+       "zeelandbrug.noord                        meting                OW   \n",
+       "poeldonk.dungensebrug                    meting                OW   \n",
+       "\n",
+       "                                  Compartiment.Omschrijving  ...  \\\n",
+       "Code                                                         ...   \n",
+       "fortcrevecoeur                             Oppervlaktewater  ...   \n",
+       "bremerhaven                                Oppervlaktewater  ...   \n",
+       "twenthekanaal.hoofdkanaalkm29p500          Oppervlaktewater  ...   \n",
+       "zeelandbrug.noord                          Oppervlaktewater  ...   \n",
+       "poeldonk.dungensebrug                      Oppervlaktewater  ...   \n",
+       "\n",
+       "                                  Grootheid.Omschrijving Eenheid.Code  \\\n",
+       "Code                                                                    \n",
+       "fortcrevecoeur                       (massa)Concentratie         mg/l   \n",
+       "bremerhaven                                  Waterhoogte           cm   \n",
+       "twenthekanaal.hoofdkanaalkm29p500            Temperatuur           oC   \n",
+       "zeelandbrug.noord                            Waterhoogte           cm   \n",
+       "poeldonk.dungensebrug                (massa)Concentratie         ug/l   \n",
+       "\n",
+       "                                  Eenheid.Omschrijving Hoedanigheid.Code  \\\n",
+       "Code                                                                       \n",
+       "fortcrevecoeur                     milligram per liter                 P   \n",
+       "bremerhaven                                 centimeter               NAP   \n",
+       "twenthekanaal.hoofdkanaalkm29p500        graad Celsius               NVT   \n",
+       "zeelandbrug.noord                           centimeter               NAP   \n",
+       "poeldonk.dungensebrug              microgram per liter               NVT   \n",
+       "\n",
+       "                                        Hoedanigheid.Omschrijving  \\\n",
+       "Code                                                                \n",
+       "fortcrevecoeur                               uitgedrukt in fosfor   \n",
+       "bremerhaven                        t.o.v. Normaal Amsterdams Peil   \n",
+       "twenthekanaal.hoofdkanaalkm29p500             Niet van toepassing   \n",
+       "zeelandbrug.noord                  t.o.v. Normaal Amsterdams Peil   \n",
+       "poeldonk.dungensebrug                         Niet van toepassing   \n",
        "\n",
-       "          Compartiment.Code Compartiment.Omschrijving Eenheid.Code  \\\n",
-       "Code                                                                 \n",
-       "ROTTMPT3                 BS            Bodem/Sediment            %   \n",
-       "SCHOUWN10                BS            Bodem/Sediment            %   \n",
-       "TERSLG235                BS            Bodem/Sediment            %   \n",
-       "WALCRN2                  BS            Bodem/Sediment            %   \n",
-       "GOERE6                   BS            Bodem/Sediment            %   \n",
+       "                                  Parameter.Code Parameter.Omschrijving  \\\n",
+       "Code                                                                      \n",
+       "fortcrevecoeur                              Ptot          fosfor totaal   \n",
+       "bremerhaven                                  NVT                    NVT   \n",
+       "twenthekanaal.hoofdkanaalkm29p500                                         \n",
+       "zeelandbrug.noord                                                         \n",
+       "poeldonk.dungensebrug                      PFUdA   perfluorundecaanzuur   \n",
        "\n",
-       "          Eenheid.Omschrijving Grootheid.Code Grootheid.Omschrijving  \\\n",
-       "Code                                                                   \n",
-       "ROTTMPT3               procent            KGF   Korrelgroottefractie   \n",
-       "SCHOUWN10              procent            KGF   Korrelgroottefractie   \n",
-       "TERSLG235              procent            KGF   Korrelgroottefractie   \n",
-       "WALCRN2                procent            KGF   Korrelgroottefractie   \n",
-       "GOERE6                 procent            KGF   Korrelgroottefractie   \n",
+       "                                  Groepering.Code Groepering.Omschrijving  \\\n",
+       "Code                                                                        \n",
+       "fortcrevecoeur                                                              \n",
+       "bremerhaven                            GETETBRKD2   Getijextreem berekend   \n",
+       "twenthekanaal.hoofdkanaalkm29p500                                           \n",
+       "zeelandbrug.noord                                                           \n",
+       "poeldonk.dungensebrug                                                       \n",
        "\n",
-       "          Hoedanigheid.Code                 Hoedanigheid.Omschrijving  \\\n",
-       "Code                                                                    \n",
-       "ROTTMPT3           Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
-       "SCHOUWN10          Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
-       "TERSLG235          Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
-       "WALCRN2            Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
-       "GOERE6             Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
+       "                                                                Code  \n",
+       "Code                                                                  \n",
+       "fortcrevecoeur                                        fortcrevecoeur  \n",
+       "bremerhaven                                              bremerhaven  \n",
+       "twenthekanaal.hoofdkanaalkm29p500  twenthekanaal.hoofdkanaalkm29p500  \n",
+       "zeelandbrug.noord                                  zeelandbrug.noord  \n",
+       "poeldonk.dungensebrug                          poeldonk.dungensebrug  \n",
        "\n",
-       "          Parameter.Code         Parameter.Omschrijving Groepering.Code  \\\n",
-       "Code                                                                      \n",
-       "ROTTMPT3             NVT  Waarde is niet van toepassing             NVT   \n",
-       "SCHOUWN10            NVT  Waarde is niet van toepassing             NVT   \n",
-       "TERSLG235            NVT  Waarde is niet van toepassing             NVT   \n",
-       "WALCRN2              NVT  Waarde is niet van toepassing             NVT   \n",
-       "GOERE6               NVT  Waarde is niet van toepassing             NVT   \n",
-       "\n",
-       "          Groepering.Omschrijving       Code  \n",
-       "Code                                          \n",
-       "ROTTMPT3      Niet van toepassing   ROTTMPT3  \n",
-       "SCHOUWN10     Niet van toepassing  SCHOUWN10  \n",
-       "TERSLG235     Niet van toepassing  TERSLG235  \n",
-       "WALCRN2       Niet van toepassing    WALCRN2  \n",
-       "GOERE6        Niet van toepassing     GOERE6  "
+       "[5 rows x 21 columns]"
       ]
      },
      "execution_count": 4,
@@ -333,7 +390,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x1a1ca21bf50>]"
+       "[<matplotlib.lines.Line2D at 0x1f6e47f32d0>]"
       ]
      },
      "execution_count": 5,
@@ -342,7 +399,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1300x800 with 1 Axes>"
       ]
@@ -354,7 +411,7 @@
    "source": [
     "## Create a spatial plot\n",
     "fig, ax = plt.subplots(figsize=(13, 8))\n",
-    "ax.plot(locations.X, locations.Y, 'k.')"
+    "ax.plot(locations.Lon, locations.Lat, 'k.')"
    ]
   },
   {
@@ -384,17 +441,19 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Locatie_MessageID</th>\n",
+       "      <th>Lat</th>\n",
+       "      <th>Lon</th>\n",
        "      <th>Coordinatenstelsel</th>\n",
-       "      <th>X</th>\n",
-       "      <th>Y</th>\n",
        "      <th>Naam</th>\n",
+       "      <th>Omschrijving</th>\n",
        "      <th>Parameter_Wat_Omschrijving</th>\n",
+       "      <th>ProcesType</th>\n",
        "      <th>Compartiment.Code</th>\n",
        "      <th>Compartiment.Omschrijving</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Grootheid.Omschrijving</th>\n",
        "      <th>Eenheid.Code</th>\n",
        "      <th>Eenheid.Omschrijving</th>\n",
-       "      <th>Grootheid.Code</th>\n",
-       "      <th>Grootheid.Omschrijving</th>\n",
        "      <th>Hoedanigheid.Code</th>\n",
        "      <th>Hoedanigheid.Omschrijving</th>\n",
        "      <th>Parameter.Code</th>\n",
@@ -424,179 +483,218 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>RIEDBG</th>\n",
-       "      <td>11039</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>1.133985e+06</td>\n",
-       "      <td>5.460049e+06</td>\n",
-       "      <td>Riedenburg</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. plaatselij...</td>\n",
+       "      <th>viken</th>\n",
+       "      <td>16714</td>\n",
+       "      <td>56.149434</td>\n",
+       "      <td>12.565486</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Viken</td>\n",
+       "      <td>Viken</td>\n",
+       "      <td>Waterhoogte berekend astronomisch in Oppervlak...</td>\n",
+       "      <td>astronomisch</td>\n",
        "      <td>OW</td>\n",
        "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Waterhoogte berekend</td>\n",
        "      <td>cm</td>\n",
        "      <td>centimeter</td>\n",
-       "      <td>WATHTE</td>\n",
-       "      <td>Waterhoogte</td>\n",
-       "      <td>PLAATSLR</td>\n",
-       "      <td>t.o.v. plaatselijk referentievlak</td>\n",
+       "      <td>NAP</td>\n",
+       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>RIEDBG</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>viken</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>BAMBG</th>\n",
-       "      <td>13481</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>1.066035e+06</td>\n",
-       "      <td>5.555525e+06</td>\n",
-       "      <td>Bamberg</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. plaatselij...</td>\n",
+       "      <th>viken</th>\n",
+       "      <td>16714</td>\n",
+       "      <td>56.149434</td>\n",
+       "      <td>12.565486</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Viken</td>\n",
+       "      <td>Viken</td>\n",
+       "      <td>Gemiddelde Waterhoogte in Oppervlaktewater t.o...</td>\n",
+       "      <td>meting</td>\n",
        "      <td>OW</td>\n",
        "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Waterhoogte</td>\n",
        "      <td>cm</td>\n",
        "      <td>centimeter</td>\n",
-       "      <td>WATHTE</td>\n",
-       "      <td>Waterhoogte</td>\n",
-       "      <td>PLAATSLR</td>\n",
-       "      <td>t.o.v. plaatselijk referentievlak</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>BAMBG</td>\n",
+       "      <td>NAP</td>\n",
+       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>viken</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>STEINBCH</th>\n",
-       "      <td>11103</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>9.715529e+05</td>\n",
-       "      <td>5.559332e+06</td>\n",
-       "      <td>Steinbach</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. plaatselij...</td>\n",
+       "      <th>ringhals</th>\n",
+       "      <td>17955</td>\n",
+       "      <td>57.249470</td>\n",
+       "      <td>12.115438</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ringhals</td>\n",
+       "      <td>Ringhals</td>\n",
+       "      <td>Gemiddelde Waterhoogte in Oppervlaktewater t.o...</td>\n",
+       "      <td>meting</td>\n",
        "      <td>OW</td>\n",
        "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Waterhoogte</td>\n",
        "      <td>cm</td>\n",
        "      <td>centimeter</td>\n",
-       "      <td>WATHTE</td>\n",
-       "      <td>Waterhoogte</td>\n",
-       "      <td>PLAATSLR</td>\n",
-       "      <td>t.o.v. plaatselijk referentievlak</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>STEINBCH</td>\n",
+       "      <td>NAP</td>\n",
+       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>ringhals</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>KONSZ</th>\n",
-       "      <td>13512</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>9.642014e+05</td>\n",
-       "      <td>5.295846e+06</td>\n",
-       "      <td>Konstanz</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. plaatselij...</td>\n",
+       "      <th>ringhals</th>\n",
+       "      <td>17955</td>\n",
+       "      <td>57.249470</td>\n",
+       "      <td>12.115438</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ringhals</td>\n",
+       "      <td>Ringhals</td>\n",
+       "      <td>Waterhoogte berekend astronomisch in Oppervlak...</td>\n",
+       "      <td>astronomisch</td>\n",
        "      <td>OW</td>\n",
        "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Waterhoogte berekend</td>\n",
        "      <td>cm</td>\n",
        "      <td>centimeter</td>\n",
-       "      <td>WATHTE</td>\n",
-       "      <td>Waterhoogte</td>\n",
-       "      <td>PLAATSLR</td>\n",
-       "      <td>t.o.v. plaatselijk referentievlak</td>\n",
+       "      <td>NAP</td>\n",
+       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>KONSZ</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>ringhals</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SPEYER</th>\n",
-       "      <td>11067</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>8.958191e+05</td>\n",
-       "      <td>5.477785e+06</td>\n",
-       "      <td>Speyer</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. plaatselij...</td>\n",
+       "      <th>goteborg.torshamnen</th>\n",
+       "      <td>8442</td>\n",
+       "      <td>57.682817</td>\n",
+       "      <td>11.798748</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Goteborg, Torshamnen</td>\n",
+       "      <td>Goteborg, Torshamnen</td>\n",
+       "      <td>Gemiddelde Waterhoogte in Oppervlaktewater t.o...</td>\n",
+       "      <td>meting</td>\n",
        "      <td>OW</td>\n",
        "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Waterhoogte</td>\n",
        "      <td>cm</td>\n",
        "      <td>centimeter</td>\n",
-       "      <td>WATHTE</td>\n",
-       "      <td>Waterhoogte</td>\n",
-       "      <td>PLAATSLR</td>\n",
-       "      <td>t.o.v. plaatselijk referentievlak</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>SPEYER</td>\n",
+       "      <td>NAP</td>\n",
+       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>goteborg.torshamnen</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>5 rows × 21 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "          Locatie_MessageID Coordinatenstelsel             X             Y  \\\n",
-       "Code                                                                         \n",
-       "RIEDBG                11039              25831  1.133985e+06  5.460049e+06   \n",
-       "BAMBG                 13481              25831  1.066035e+06  5.555525e+06   \n",
-       "STEINBCH              11103              25831  9.715529e+05  5.559332e+06   \n",
-       "KONSZ                 13512              25831  9.642014e+05  5.295846e+06   \n",
-       "SPEYER                11067              25831  8.958191e+05  5.477785e+06   \n",
-       "\n",
-       "                Naam                         Parameter_Wat_Omschrijving  \\\n",
-       "Code                                                                      \n",
-       "RIEDBG    Riedenburg  Waterhoogte Oppervlaktewater t.o.v. plaatselij...   \n",
-       "BAMBG        Bamberg  Waterhoogte Oppervlaktewater t.o.v. plaatselij...   \n",
-       "STEINBCH   Steinbach  Waterhoogte Oppervlaktewater t.o.v. plaatselij...   \n",
-       "KONSZ       Konstanz  Waterhoogte Oppervlaktewater t.o.v. plaatselij...   \n",
-       "SPEYER        Speyer  Waterhoogte Oppervlaktewater t.o.v. plaatselij...   \n",
-       "\n",
-       "         Compartiment.Code Compartiment.Omschrijving Eenheid.Code  \\\n",
-       "Code                                                                \n",
-       "RIEDBG                  OW          Oppervlaktewater           cm   \n",
-       "BAMBG                   OW          Oppervlaktewater           cm   \n",
-       "STEINBCH                OW          Oppervlaktewater           cm   \n",
-       "KONSZ                   OW          Oppervlaktewater           cm   \n",
-       "SPEYER                  OW          Oppervlaktewater           cm   \n",
-       "\n",
-       "         Eenheid.Omschrijving Grootheid.Code Grootheid.Omschrijving  \\\n",
-       "Code                                                                  \n",
-       "RIEDBG             centimeter         WATHTE            Waterhoogte   \n",
-       "BAMBG              centimeter         WATHTE            Waterhoogte   \n",
-       "STEINBCH           centimeter         WATHTE            Waterhoogte   \n",
-       "KONSZ              centimeter         WATHTE            Waterhoogte   \n",
-       "SPEYER             centimeter         WATHTE            Waterhoogte   \n",
-       "\n",
-       "         Hoedanigheid.Code          Hoedanigheid.Omschrijving Parameter.Code  \\\n",
-       "Code                                                                           \n",
-       "RIEDBG            PLAATSLR  t.o.v. plaatselijk referentievlak            NVT   \n",
-       "BAMBG             PLAATSLR  t.o.v. plaatselijk referentievlak            NVT   \n",
-       "STEINBCH          PLAATSLR  t.o.v. plaatselijk referentievlak            NVT   \n",
-       "KONSZ             PLAATSLR  t.o.v. plaatselijk referentievlak            NVT   \n",
-       "SPEYER            PLAATSLR  t.o.v. plaatselijk referentievlak            NVT   \n",
+       "                     Locatie_MessageID        Lat        Lon  \\\n",
+       "Code                                                           \n",
+       "viken                            16714  56.149434  12.565486   \n",
+       "viken                            16714  56.149434  12.565486   \n",
+       "ringhals                         17955  57.249470  12.115438   \n",
+       "ringhals                         17955  57.249470  12.115438   \n",
+       "goteborg.torshamnen               8442  57.682817  11.798748   \n",
        "\n",
-       "                 Parameter.Omschrijving Groepering.Code  \\\n",
-       "Code                                                      \n",
-       "RIEDBG    Waarde is niet van toepassing             NVT   \n",
-       "BAMBG     Waarde is niet van toepassing             NVT   \n",
-       "STEINBCH  Waarde is niet van toepassing             NVT   \n",
-       "KONSZ     Waarde is niet van toepassing             NVT   \n",
-       "SPEYER    Waarde is niet van toepassing             NVT   \n",
+       "                    Coordinatenstelsel                  Naam  \\\n",
+       "Code                                                           \n",
+       "viken                           ETRS89                 Viken   \n",
+       "viken                           ETRS89                 Viken   \n",
+       "ringhals                        ETRS89              Ringhals   \n",
+       "ringhals                        ETRS89              Ringhals   \n",
+       "goteborg.torshamnen             ETRS89  Goteborg, Torshamnen   \n",
        "\n",
-       "         Groepering.Omschrijving      Code  \n",
+       "                             Omschrijving  \\\n",
        "Code                                        \n",
-       "RIEDBG       Niet van toepassing    RIEDBG  \n",
-       "BAMBG        Niet van toepassing     BAMBG  \n",
-       "STEINBCH     Niet van toepassing  STEINBCH  \n",
-       "KONSZ        Niet van toepassing     KONSZ  \n",
-       "SPEYER       Niet van toepassing    SPEYER  "
+       "viken                               Viken   \n",
+       "viken                               Viken   \n",
+       "ringhals                         Ringhals   \n",
+       "ringhals                         Ringhals   \n",
+       "goteborg.torshamnen  Goteborg, Torshamnen   \n",
+       "\n",
+       "                                            Parameter_Wat_Omschrijving  \\\n",
+       "Code                                                                     \n",
+       "viken                Waterhoogte berekend astronomisch in Oppervlak...   \n",
+       "viken                Gemiddelde Waterhoogte in Oppervlaktewater t.o...   \n",
+       "ringhals             Gemiddelde Waterhoogte in Oppervlaktewater t.o...   \n",
+       "ringhals             Waterhoogte berekend astronomisch in Oppervlak...   \n",
+       "goteborg.torshamnen  Gemiddelde Waterhoogte in Oppervlaktewater t.o...   \n",
+       "\n",
+       "                       ProcesType Compartiment.Code Compartiment.Omschrijving  \\\n",
+       "Code                                                                            \n",
+       "viken                astronomisch                OW          Oppervlaktewater   \n",
+       "viken                      meting                OW          Oppervlaktewater   \n",
+       "ringhals                   meting                OW          Oppervlaktewater   \n",
+       "ringhals             astronomisch                OW          Oppervlaktewater   \n",
+       "goteborg.torshamnen        meting                OW          Oppervlaktewater   \n",
+       "\n",
+       "                     ... Grootheid.Omschrijving Eenheid.Code  \\\n",
+       "Code                 ...                                       \n",
+       "viken                ...   Waterhoogte berekend           cm   \n",
+       "viken                ...            Waterhoogte           cm   \n",
+       "ringhals             ...            Waterhoogte           cm   \n",
+       "ringhals             ...   Waterhoogte berekend           cm   \n",
+       "goteborg.torshamnen  ...            Waterhoogte           cm   \n",
+       "\n",
+       "                    Eenheid.Omschrijving Hoedanigheid.Code  \\\n",
+       "Code                                                         \n",
+       "viken                         centimeter               NAP   \n",
+       "viken                         centimeter               NAP   \n",
+       "ringhals                      centimeter               NAP   \n",
+       "ringhals                      centimeter               NAP   \n",
+       "goteborg.torshamnen           centimeter               NAP   \n",
+       "\n",
+       "                          Hoedanigheid.Omschrijving Parameter.Code  \\\n",
+       "Code                                                                 \n",
+       "viken                t.o.v. Normaal Amsterdams Peil            NVT   \n",
+       "viken                t.o.v. Normaal Amsterdams Peil                  \n",
+       "ringhals             t.o.v. Normaal Amsterdams Peil                  \n",
+       "ringhals             t.o.v. Normaal Amsterdams Peil            NVT   \n",
+       "goteborg.torshamnen  t.o.v. Normaal Amsterdams Peil                  \n",
+       "\n",
+       "                    Parameter.Omschrijving Groepering.Code  \\\n",
+       "Code                                                         \n",
+       "viken                                  NVT                   \n",
+       "viken                                                        \n",
+       "ringhals                                                     \n",
+       "ringhals                               NVT                   \n",
+       "goteborg.torshamnen                                          \n",
+       "\n",
+       "                    Groepering.Omschrijving                 Code  \n",
+       "Code                                                              \n",
+       "viken                                                      viken  \n",
+       "viken                                                      viken  \n",
+       "ringhals                                                ringhals  \n",
+       "ringhals                                                ringhals  \n",
+       "goteborg.torshamnen                          goteborg.torshamnen  \n",
+       "\n",
+       "[5 rows x 21 columns]"
       ]
      },
      "execution_count": 6,
@@ -607,7 +705,7 @@
    "source": [
     "# CHECK See what the data in the east is.\n",
     "# These is a reference river for water quality near Chernobyl. \n",
-    "locations.sort_values('X',  ascending=False).head(n=5)"
+    "locations.sort_values('Lon',  ascending=False).head(n=5)"
    ]
   },
   {
@@ -637,17 +735,19 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Locatie_MessageID</th>\n",
+       "      <th>Lat</th>\n",
+       "      <th>Lon</th>\n",
        "      <th>Coordinatenstelsel</th>\n",
-       "      <th>X</th>\n",
-       "      <th>Y</th>\n",
        "      <th>Naam</th>\n",
+       "      <th>Omschrijving</th>\n",
        "      <th>Parameter_Wat_Omschrijving</th>\n",
+       "      <th>ProcesType</th>\n",
        "      <th>Compartiment.Code</th>\n",
        "      <th>Compartiment.Omschrijving</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Grootheid.Omschrijving</th>\n",
        "      <th>Eenheid.Code</th>\n",
        "      <th>Eenheid.Omschrijving</th>\n",
-       "      <th>Grootheid.Code</th>\n",
-       "      <th>Grootheid.Omschrijving</th>\n",
        "      <th>Hoedanigheid.Code</th>\n",
        "      <th>Hoedanigheid.Omschrijving</th>\n",
        "      <th>Parameter.Code</th>\n",
@@ -677,127 +777,218 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>HOEKVHLD</th>\n",
-       "      <td>10399</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>576917.669784</td>\n",
-       "      <td>5.759136e+06</td>\n",
-       "      <td>Hoek van Holland</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
+       "      <th>ijmuiden.buitenhaven</th>\n",
+       "      <td>7258</td>\n",
+       "      <td>52.462326</td>\n",
+       "      <td>4.554823</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>IJmuiden, buitenhaven</td>\n",
+       "      <td>IJmuiden, buitenhaven</td>\n",
+       "      <td>Gemiddelde Waterhoogte in Oppervlaktewater t.o...</td>\n",
+       "      <td>meting</td>\n",
        "      <td>OW</td>\n",
        "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Waterhoogte</td>\n",
        "      <td>cm</td>\n",
        "      <td>centimeter</td>\n",
-       "      <td>WATHTE</td>\n",
+       "      <td>NAP</td>\n",
+       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>ijmuiden.buitenhaven</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ijmuiden.buitenhaven</th>\n",
+       "      <td>7258</td>\n",
+       "      <td>52.462326</td>\n",
+       "      <td>4.554823</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>IJmuiden, buitenhaven</td>\n",
+       "      <td>IJmuiden, buitenhaven</td>\n",
+       "      <td>Waterhoogte in Oppervlaktewater t.o.v. Normaal...</td>\n",
+       "      <td>meting</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
        "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>centimeter</td>\n",
        "      <td>NAP</td>\n",
        "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>HOEKVHLD</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>ijmuiden.buitenhaven</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SCHEVNGN</th>\n",
-       "      <td>10406</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <th>scheveningen</th>\n",
+       "      <td>2609</td>\n",
+       "      <td>52.099035</td>\n",
+       "      <td>4.263563</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Scheveningen</td>\n",
        "      <td>Scheveningen</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
+       "      <td>Waterhoogte in Oppervlaktewater t.o.v. Normaal...</td>\n",
+       "      <td>meting</td>\n",
        "      <td>OW</td>\n",
        "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Waterhoogte</td>\n",
        "      <td>cm</td>\n",
        "      <td>centimeter</td>\n",
-       "      <td>WATHTE</td>\n",
-       "      <td>Waterhoogte</td>\n",
        "      <td>NAP</td>\n",
        "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>SCHEVNGN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>scheveningen</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>IJMDBTHVN</th>\n",
-       "      <td>10414</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>605633.035699</td>\n",
-       "      <td>5.813598e+06</td>\n",
-       "      <td>IJmuiden buitenhaven</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
+       "      <th>hoekvanholland</th>\n",
+       "      <td>13603</td>\n",
+       "      <td>51.976899</td>\n",
+       "      <td>4.119827</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Hoek van Holland</td>\n",
+       "      <td>rechter oever kilometer 1030.1</td>\n",
+       "      <td>Gemiddelde Waterhoogte in Oppervlaktewater t.o...</td>\n",
+       "      <td>meting</td>\n",
        "      <td>OW</td>\n",
        "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Waterhoogte</td>\n",
        "      <td>cm</td>\n",
        "      <td>centimeter</td>\n",
-       "      <td>WATHTE</td>\n",
+       "      <td>NAP</td>\n",
+       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>hoekvanholland</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>hoekvanholland</th>\n",
+       "      <td>13603</td>\n",
+       "      <td>51.976899</td>\n",
+       "      <td>4.119827</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Hoek van Holland</td>\n",
+       "      <td>rechter oever kilometer 1030.1</td>\n",
+       "      <td>Waterhoogte in Oppervlaktewater t.o.v. Normaal...</td>\n",
+       "      <td>meting</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
        "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>centimeter</td>\n",
        "      <td>NAP</td>\n",
        "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>IJMDBTHVN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>hoekvanholland</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>5 rows × 21 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "           Locatie_MessageID Coordinatenstelsel              X             Y  \\\n",
-       "Code                                                                           \n",
-       "HOEKVHLD               10399              25831  576917.669784  5.759136e+06   \n",
-       "SCHEVNGN               10406              25831  586550.994421  5.772806e+06   \n",
-       "IJMDBTHVN              10414              25831  605633.035699  5.813598e+06   \n",
-       "\n",
-       "                           Naam  \\\n",
-       "Code                              \n",
-       "HOEKVHLD       Hoek van Holland   \n",
-       "SCHEVNGN           Scheveningen   \n",
-       "IJMDBTHVN  IJmuiden buitenhaven   \n",
-       "\n",
-       "                                  Parameter_Wat_Omschrijving  \\\n",
+       "                      Locatie_MessageID        Lat       Lon  \\\n",
        "Code                                                           \n",
-       "HOEKVHLD   Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "SCHEVNGN   Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "IJMDBTHVN  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "\n",
-       "          Compartiment.Code Compartiment.Omschrijving Eenheid.Code  \\\n",
-       "Code                                                                 \n",
-       "HOEKVHLD                 OW          Oppervlaktewater           cm   \n",
-       "SCHEVNGN                 OW          Oppervlaktewater           cm   \n",
-       "IJMDBTHVN                OW          Oppervlaktewater           cm   \n",
-       "\n",
-       "          Eenheid.Omschrijving Grootheid.Code Grootheid.Omschrijving  \\\n",
-       "Code                                                                   \n",
-       "HOEKVHLD            centimeter         WATHTE            Waterhoogte   \n",
-       "SCHEVNGN            centimeter         WATHTE            Waterhoogte   \n",
-       "IJMDBTHVN           centimeter         WATHTE            Waterhoogte   \n",
+       "ijmuiden.buitenhaven               7258  52.462326  4.554823   \n",
+       "ijmuiden.buitenhaven               7258  52.462326  4.554823   \n",
+       "scheveningen                       2609  52.099035  4.263563   \n",
+       "hoekvanholland                    13603  51.976899  4.119827   \n",
+       "hoekvanholland                    13603  51.976899  4.119827   \n",
+       "\n",
+       "                     Coordinatenstelsel                   Naam  \\\n",
+       "Code                                                             \n",
+       "ijmuiden.buitenhaven             ETRS89  IJmuiden, buitenhaven   \n",
+       "ijmuiden.buitenhaven             ETRS89  IJmuiden, buitenhaven   \n",
+       "scheveningen                     ETRS89           Scheveningen   \n",
+       "hoekvanholland                   ETRS89       Hoek van Holland   \n",
+       "hoekvanholland                   ETRS89       Hoek van Holland   \n",
+       "\n",
+       "                                        Omschrijving  \\\n",
+       "Code                                                   \n",
+       "ijmuiden.buitenhaven           IJmuiden, buitenhaven   \n",
+       "ijmuiden.buitenhaven           IJmuiden, buitenhaven   \n",
+       "scheveningen                            Scheveningen   \n",
+       "hoekvanholland        rechter oever kilometer 1030.1   \n",
+       "hoekvanholland        rechter oever kilometer 1030.1   \n",
+       "\n",
+       "                                             Parameter_Wat_Omschrijving  \\\n",
+       "Code                                                                      \n",
+       "ijmuiden.buitenhaven  Gemiddelde Waterhoogte in Oppervlaktewater t.o...   \n",
+       "ijmuiden.buitenhaven  Waterhoogte in Oppervlaktewater t.o.v. Normaal...   \n",
+       "scheveningen          Waterhoogte in Oppervlaktewater t.o.v. Normaal...   \n",
+       "hoekvanholland        Gemiddelde Waterhoogte in Oppervlaktewater t.o...   \n",
+       "hoekvanholland        Waterhoogte in Oppervlaktewater t.o.v. Normaal...   \n",
        "\n",
-       "          Hoedanigheid.Code       Hoedanigheid.Omschrijving Parameter.Code  \\\n",
-       "Code                                                                         \n",
-       "HOEKVHLD                NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
-       "SCHEVNGN                NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
-       "IJMDBTHVN               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
+       "                     ProcesType Compartiment.Code Compartiment.Omschrijving  \\\n",
+       "Code                                                                          \n",
+       "ijmuiden.buitenhaven     meting                OW          Oppervlaktewater   \n",
+       "ijmuiden.buitenhaven     meting                OW          Oppervlaktewater   \n",
+       "scheveningen             meting                OW          Oppervlaktewater   \n",
+       "hoekvanholland           meting                OW          Oppervlaktewater   \n",
+       "hoekvanholland           meting                OW          Oppervlaktewater   \n",
+       "\n",
+       "                      ... Grootheid.Omschrijving Eenheid.Code  \\\n",
+       "Code                  ...                                       \n",
+       "ijmuiden.buitenhaven  ...            Waterhoogte           cm   \n",
+       "ijmuiden.buitenhaven  ...            Waterhoogte           cm   \n",
+       "scheveningen          ...            Waterhoogte           cm   \n",
+       "hoekvanholland        ...            Waterhoogte           cm   \n",
+       "hoekvanholland        ...            Waterhoogte           cm   \n",
+       "\n",
+       "                     Eenheid.Omschrijving Hoedanigheid.Code  \\\n",
+       "Code                                                          \n",
+       "ijmuiden.buitenhaven           centimeter               NAP   \n",
+       "ijmuiden.buitenhaven           centimeter               NAP   \n",
+       "scheveningen                   centimeter               NAP   \n",
+       "hoekvanholland                 centimeter               NAP   \n",
+       "hoekvanholland                 centimeter               NAP   \n",
+       "\n",
+       "                           Hoedanigheid.Omschrijving Parameter.Code  \\\n",
+       "Code                                                                  \n",
+       "ijmuiden.buitenhaven  t.o.v. Normaal Amsterdams Peil                  \n",
+       "ijmuiden.buitenhaven  t.o.v. Normaal Amsterdams Peil            NVT   \n",
+       "scheveningen          t.o.v. Normaal Amsterdams Peil            NVT   \n",
+       "hoekvanholland        t.o.v. Normaal Amsterdams Peil                  \n",
+       "hoekvanholland        t.o.v. Normaal Amsterdams Peil            NVT   \n",
+       "\n",
+       "                     Parameter.Omschrijving Groepering.Code  \\\n",
+       "Code                                                          \n",
+       "ijmuiden.buitenhaven                                          \n",
+       "ijmuiden.buitenhaven                    NVT                   \n",
+       "scheveningen                            NVT                   \n",
+       "hoekvanholland                                                \n",
+       "hoekvanholland                          NVT                   \n",
+       "\n",
+       "                     Groepering.Omschrijving                  Code  \n",
+       "Code                                                                \n",
+       "ijmuiden.buitenhaven                          ijmuiden.buitenhaven  \n",
+       "ijmuiden.buitenhaven                          ijmuiden.buitenhaven  \n",
+       "scheveningen                                          scheveningen  \n",
+       "hoekvanholland                                      hoekvanholland  \n",
+       "hoekvanholland                                      hoekvanholland  \n",
        "\n",
-       "                  Parameter.Omschrijving Groepering.Code  \\\n",
-       "Code                                                       \n",
-       "HOEKVHLD   Waarde is niet van toepassing             NVT   \n",
-       "SCHEVNGN   Waarde is niet van toepassing             NVT   \n",
-       "IJMDBTHVN  Waarde is niet van toepassing             NVT   \n",
-       "\n",
-       "          Groepering.Omschrijving       Code  \n",
-       "Code                                          \n",
-       "HOEKVHLD      Niet van toepassing   HOEKVHLD  \n",
-       "SCHEVNGN      Niet van toepassing   SCHEVNGN  \n",
-       "IJMDBTHVN     Niet van toepassing  IJMDBTHVN  "
+       "[5 rows x 21 columns]"
       ]
      },
      "execution_count": 7,
@@ -806,11 +997,12 @@
     }
    ],
    "source": [
-    "bool_stations = locations.index.isin(['HOEKVHLD', 'IJMDBTHVN','SCHEVNGN'])\n",
-    "bool_grootheid = locations['Grootheid.Code'].isin(['WATHTE']) # measured (WATHTE) versus computed/astro\n",
-    "bool_groepering = locations['Groepering.Code'].isin(['NVT']) # timeseries (NVT) versus extremes\n",
+    "bool_stations = locations.index.isin(['hoekvanholland', 'ijmuiden.buitenhaven', 'scheveningen'])\n",
+    "bool_procestype = locations['ProcesType'].isin(['meting']) # meting/astronomisch/verwachting\n",
+    "bool_grootheid = locations['Grootheid.Code'].isin(['WATHTE']) # waterlevel (WATHTE)\n",
+    "bool_groepering = locations['Groepering.Code'].isin(['']) # timeseries (NVT) versus extremes\n",
     "bool_hoedanigheid = locations['Hoedanigheid.Code'].isin(['NAP']) # vertical reference (NAP/MSL)\n",
-    "selected = locations.loc[bool_stations & bool_grootheid & bool_groepering & bool_hoedanigheid]\n",
+    "selected = locations.loc[bool_stations & bool_procestype & bool_grootheid & bool_groepering & bool_hoedanigheid]\n",
     "selected"
    ]
   },
@@ -841,17 +1033,19 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Locatie_MessageID</th>\n",
+       "      <th>Lat</th>\n",
+       "      <th>Lon</th>\n",
        "      <th>Coordinatenstelsel</th>\n",
-       "      <th>X</th>\n",
-       "      <th>Y</th>\n",
        "      <th>Naam</th>\n",
+       "      <th>Omschrijving</th>\n",
        "      <th>Parameter_Wat_Omschrijving</th>\n",
+       "      <th>ProcesType</th>\n",
        "      <th>Compartiment.Code</th>\n",
        "      <th>Compartiment.Omschrijving</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Grootheid.Omschrijving</th>\n",
        "      <th>Eenheid.Code</th>\n",
        "      <th>Eenheid.Omschrijving</th>\n",
-       "      <th>Grootheid.Code</th>\n",
-       "      <th>Grootheid.Omschrijving</th>\n",
        "      <th>Hoedanigheid.Code</th>\n",
        "      <th>Hoedanigheid.Omschrijving</th>\n",
        "      <th>Parameter.Code</th>\n",
@@ -881,187 +1075,242 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>ROTTMPT3</th>\n",
-       "      <td>9486</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>735924.084551</td>\n",
-       "      <td>5.941073e+06</td>\n",
-       "      <td>Rottumerplaat 3 km uit de kust</td>\n",
-       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
-       "      <td>BS</td>\n",
-       "      <td>Bodem/Sediment</td>\n",
-       "      <td>%</td>\n",
-       "      <td>procent</td>\n",
-       "      <td>KGF</td>\n",
-       "      <td>Korrelgroottefractie</td>\n",
-       "      <td>Dg0016dg</td>\n",
-       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
+       "      <th>terschelling.50kmuitdekust</th>\n",
+       "      <td>9772</td>\n",
+       "      <td>53.766773</td>\n",
+       "      <td>4.765613</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Terschelling, 50 km uit de kust</td>\n",
+       "      <td>Terschelling, 50 km uit de kust</td>\n",
+       "      <td>Gemiddelde Temperatuur in Oppervlaktewater in oC</td>\n",
+       "      <td>meting</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Temperatuur</td>\n",
+       "      <td>oC</td>\n",
+       "      <td>graad Celsius</td>\n",
        "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>ROTTMPT3</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>terschelling.50kmuitdekust</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SCHOUWN10</th>\n",
-       "      <td>9510</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>534120.858324</td>\n",
-       "      <td>5.729921e+06</td>\n",
-       "      <td>Schouwen 10 km uit de kust</td>\n",
-       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
-       "      <td>BS</td>\n",
-       "      <td>Bodem/Sediment</td>\n",
-       "      <td>%</td>\n",
-       "      <td>procent</td>\n",
-       "      <td>KGF</td>\n",
-       "      <td>Korrelgroottefractie</td>\n",
-       "      <td>Dg0016dg</td>\n",
-       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>SCHOUWN10</td>\n",
+       "      <th>rottumerplaat.70kmuitdekust</th>\n",
+       "      <td>2286</td>\n",
+       "      <td>54.117356</td>\n",
+       "      <td>6.212863</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Rottumerplaat, 70 km uit de kust</td>\n",
+       "      <td>Rottumerplaat, 70 km uit de kust</td>\n",
+       "      <td>Gemiddelde Windrichting in Lucht t.o.v. ware N...</td>\n",
+       "      <td>meting</td>\n",
+       "      <td>LT</td>\n",
+       "      <td>Lucht</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Windrichting</td>\n",
+       "      <td>graad</td>\n",
+       "      <td>graad</td>\n",
+       "      <td>WARNDN</td>\n",
+       "      <td>t.o.v. ware Noorden</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>rottumerplaat.70kmuitdekust</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>TERSLG235</th>\n",
-       "      <td>9518</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>509938.998556</td>\n",
-       "      <td>6.113888e+06</td>\n",
-       "      <td>Terschelling 235 km uit de kust</td>\n",
-       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
-       "      <td>BS</td>\n",
-       "      <td>Bodem/Sediment</td>\n",
-       "      <td>%</td>\n",
-       "      <td>procent</td>\n",
-       "      <td>KGF</td>\n",
-       "      <td>Korrelgroottefractie</td>\n",
-       "      <td>Dg0016dg</td>\n",
-       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>TERSLG235</td>\n",
+       "      <th>goeree20kmuitdekust</th>\n",
+       "      <td>15290</td>\n",
+       "      <td>51.953368</td>\n",
+       "      <td>3.720361</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Goeree 20 km uit de kust</td>\n",
+       "      <td>Goeree 20 km uit de kust</td>\n",
+       "      <td>(massa)Concentratie fosfor totaal in Oppervlak...</td>\n",
+       "      <td>meting</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>(massa)Concentratie</td>\n",
+       "      <td>mg/l</td>\n",
+       "      <td>milligram per liter</td>\n",
+       "      <td>pg</td>\n",
+       "      <td>particulair gebonden</td>\n",
+       "      <td>Ptot</td>\n",
+       "      <td>fosfor totaal</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>goeree20kmuitdekust</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>WALCRN2</th>\n",
-       "      <td>9526</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>528394.396027</td>\n",
-       "      <td>5.710854e+06</td>\n",
-       "      <td>Walcheren 2 km uit de kust</td>\n",
-       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
-       "      <td>BS</td>\n",
-       "      <td>Bodem/Sediment</td>\n",
-       "      <td>%</td>\n",
-       "      <td>procent</td>\n",
-       "      <td>KGF</td>\n",
-       "      <td>Korrelgroottefractie</td>\n",
-       "      <td>Dg0016dg</td>\n",
-       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
+       "      <th>terschelling.100kmuitdekust</th>\n",
+       "      <td>9376</td>\n",
+       "      <td>54.148726</td>\n",
+       "      <td>4.340590</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Terschelling, 100 km uit de kust</td>\n",
+       "      <td>Terschelling, 100 km uit de kust</td>\n",
+       "      <td>(massa)Concentratie perfluorhexaanzuur in Oppe...</td>\n",
+       "      <td>meting</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>(massa)Concentratie</td>\n",
+       "      <td>ug/l</td>\n",
+       "      <td>microgram per liter</td>\n",
        "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>WALCRN2</td>\n",
+       "      <td>PFHxA</td>\n",
+       "      <td>perfluorhexaanzuur</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>terschelling.100kmuitdekust</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>GOERE6</th>\n",
-       "      <td>9542</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>560056.490959</td>\n",
-       "      <td>5.746818e+06</td>\n",
-       "      <td>Goeree 6 km uit de kust</td>\n",
-       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
-       "      <td>BS</td>\n",
-       "      <td>Bodem/Sediment</td>\n",
-       "      <td>%</td>\n",
-       "      <td>procent</td>\n",
-       "      <td>KGF</td>\n",
-       "      <td>Korrelgroottefractie</td>\n",
-       "      <td>Dg0016dg</td>\n",
-       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
+       "      <th>appelzak.2kmuitdekust</th>\n",
+       "      <td>9101</td>\n",
+       "      <td>51.385216</td>\n",
+       "      <td>3.350962</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Appelzak, 2 km uit de kust</td>\n",
+       "      <td>Appelzak, 2 km uit de kust</td>\n",
+       "      <td>(massa)Concentratie cadmium in Oppervlaktewate...</td>\n",
+       "      <td>meting</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>(massa)Concentratie</td>\n",
+       "      <td>ug/l</td>\n",
+       "      <td>microgram per liter</td>\n",
        "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>GOERE6</td>\n",
+       "      <td>Cd</td>\n",
+       "      <td>cadmium</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>appelzak.2kmuitdekust</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>5 rows × 21 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "           Locatie_MessageID Coordinatenstelsel              X             Y  \\\n",
-       "Code                                                                           \n",
-       "ROTTMPT3                9486              25831  735924.084551  5.941073e+06   \n",
-       "SCHOUWN10               9510              25831  534120.858324  5.729921e+06   \n",
-       "TERSLG235               9518              25831  509938.998556  6.113888e+06   \n",
-       "WALCRN2                 9526              25831  528394.396027  5.710854e+06   \n",
-       "GOERE6                  9542              25831  560056.490959  5.746818e+06   \n",
-       "\n",
-       "                                      Naam  \\\n",
-       "Code                                         \n",
-       "ROTTMPT3    Rottumerplaat 3 km uit de kust   \n",
-       "SCHOUWN10       Schouwen 10 km uit de kust   \n",
-       "TERSLG235  Terschelling 235 km uit de kust   \n",
-       "WALCRN2         Walcheren 2 km uit de kust   \n",
-       "GOERE6             Goeree 6 km uit de kust   \n",
-       "\n",
-       "                                  Parameter_Wat_Omschrijving  \\\n",
-       "Code                                                           \n",
-       "ROTTMPT3   Korrelgroottefractie Bodem/Sediment diameter g...   \n",
-       "SCHOUWN10  Korrelgroottefractie Bodem/Sediment diameter g...   \n",
-       "TERSLG235  Korrelgroottefractie Bodem/Sediment diameter g...   \n",
-       "WALCRN2    Korrelgroottefractie Bodem/Sediment diameter g...   \n",
-       "GOERE6     Korrelgroottefractie Bodem/Sediment diameter g...   \n",
-       "\n",
-       "          Compartiment.Code Compartiment.Omschrijving Eenheid.Code  \\\n",
+       "                             Locatie_MessageID        Lat       Lon  \\\n",
+       "Code                                                                  \n",
+       "terschelling.50kmuitdekust                9772  53.766773  4.765613   \n",
+       "rottumerplaat.70kmuitdekust               2286  54.117356  6.212863   \n",
+       "goeree20kmuitdekust                      15290  51.953368  3.720361   \n",
+       "terschelling.100kmuitdekust               9376  54.148726  4.340590   \n",
+       "appelzak.2kmuitdekust                     9101  51.385216  3.350962   \n",
+       "\n",
+       "                            Coordinatenstelsel  \\\n",
+       "Code                                             \n",
+       "terschelling.50kmuitdekust              ETRS89   \n",
+       "rottumerplaat.70kmuitdekust             ETRS89   \n",
+       "goeree20kmuitdekust                     ETRS89   \n",
+       "terschelling.100kmuitdekust             ETRS89   \n",
+       "appelzak.2kmuitdekust                   ETRS89   \n",
+       "\n",
+       "                                                         Naam  \\\n",
+       "Code                                                            \n",
+       "terschelling.50kmuitdekust    Terschelling, 50 km uit de kust   \n",
+       "rottumerplaat.70kmuitdekust  Rottumerplaat, 70 km uit de kust   \n",
+       "goeree20kmuitdekust                  Goeree 20 km uit de kust   \n",
+       "terschelling.100kmuitdekust  Terschelling, 100 km uit de kust   \n",
+       "appelzak.2kmuitdekust              Appelzak, 2 km uit de kust   \n",
+       "\n",
+       "                                                 Omschrijving  \\\n",
+       "Code                                                            \n",
+       "terschelling.50kmuitdekust    Terschelling, 50 km uit de kust   \n",
+       "rottumerplaat.70kmuitdekust  Rottumerplaat, 70 km uit de kust   \n",
+       "goeree20kmuitdekust                  Goeree 20 km uit de kust   \n",
+       "terschelling.100kmuitdekust  Terschelling, 100 km uit de kust   \n",
+       "appelzak.2kmuitdekust              Appelzak, 2 km uit de kust   \n",
+       "\n",
+       "                                                    Parameter_Wat_Omschrijving  \\\n",
+       "Code                                                                             \n",
+       "terschelling.50kmuitdekust    Gemiddelde Temperatuur in Oppervlaktewater in oC   \n",
+       "rottumerplaat.70kmuitdekust  Gemiddelde Windrichting in Lucht t.o.v. ware N...   \n",
+       "goeree20kmuitdekust          (massa)Concentratie fosfor totaal in Oppervlak...   \n",
+       "terschelling.100kmuitdekust  (massa)Concentratie perfluorhexaanzuur in Oppe...   \n",
+       "appelzak.2kmuitdekust        (massa)Concentratie cadmium in Oppervlaktewate...   \n",
+       "\n",
+       "                            ProcesType Compartiment.Code  \\\n",
+       "Code                                                       \n",
+       "terschelling.50kmuitdekust      meting                OW   \n",
+       "rottumerplaat.70kmuitdekust     meting                LT   \n",
+       "goeree20kmuitdekust             meting                OW   \n",
+       "terschelling.100kmuitdekust     meting                OW   \n",
+       "appelzak.2kmuitdekust           meting                OW   \n",
+       "\n",
+       "                            Compartiment.Omschrijving  ...  \\\n",
+       "Code                                                   ...   \n",
+       "terschelling.50kmuitdekust           Oppervlaktewater  ...   \n",
+       "rottumerplaat.70kmuitdekust                     Lucht  ...   \n",
+       "goeree20kmuitdekust                  Oppervlaktewater  ...   \n",
+       "terschelling.100kmuitdekust          Oppervlaktewater  ...   \n",
+       "appelzak.2kmuitdekust                Oppervlaktewater  ...   \n",
+       "\n",
+       "                            Grootheid.Omschrijving Eenheid.Code  \\\n",
+       "Code                                                              \n",
+       "terschelling.50kmuitdekust             Temperatuur           oC   \n",
+       "rottumerplaat.70kmuitdekust           Windrichting        graad   \n",
+       "goeree20kmuitdekust            (massa)Concentratie         mg/l   \n",
+       "terschelling.100kmuitdekust    (massa)Concentratie         ug/l   \n",
+       "appelzak.2kmuitdekust          (massa)Concentratie         ug/l   \n",
+       "\n",
+       "                            Eenheid.Omschrijving Hoedanigheid.Code  \\\n",
        "Code                                                                 \n",
-       "ROTTMPT3                 BS            Bodem/Sediment            %   \n",
-       "SCHOUWN10                BS            Bodem/Sediment            %   \n",
-       "TERSLG235                BS            Bodem/Sediment            %   \n",
-       "WALCRN2                  BS            Bodem/Sediment            %   \n",
-       "GOERE6                   BS            Bodem/Sediment            %   \n",
+       "terschelling.50kmuitdekust         graad Celsius               NVT   \n",
+       "rottumerplaat.70kmuitdekust                graad            WARNDN   \n",
+       "goeree20kmuitdekust          milligram per liter                pg   \n",
+       "terschelling.100kmuitdekust  microgram per liter               NVT   \n",
+       "appelzak.2kmuitdekust        microgram per liter               NVT   \n",
        "\n",
-       "          Eenheid.Omschrijving Grootheid.Code Grootheid.Omschrijving  \\\n",
+       "                            Hoedanigheid.Omschrijving Parameter.Code  \\\n",
        "Code                                                                   \n",
-       "ROTTMPT3               procent            KGF   Korrelgroottefractie   \n",
-       "SCHOUWN10              procent            KGF   Korrelgroottefractie   \n",
-       "TERSLG235              procent            KGF   Korrelgroottefractie   \n",
-       "WALCRN2                procent            KGF   Korrelgroottefractie   \n",
-       "GOERE6                 procent            KGF   Korrelgroottefractie   \n",
+       "terschelling.50kmuitdekust        Niet van toepassing                  \n",
+       "rottumerplaat.70kmuitdekust       t.o.v. ware Noorden                  \n",
+       "goeree20kmuitdekust              particulair gebonden           Ptot   \n",
+       "terschelling.100kmuitdekust       Niet van toepassing          PFHxA   \n",
+       "appelzak.2kmuitdekust             Niet van toepassing             Cd   \n",
        "\n",
-       "          Hoedanigheid.Code                 Hoedanigheid.Omschrijving  \\\n",
-       "Code                                                                    \n",
-       "ROTTMPT3           Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
-       "SCHOUWN10          Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
-       "TERSLG235          Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
-       "WALCRN2            Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
-       "GOERE6             Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
+       "                            Parameter.Omschrijving Groepering.Code  \\\n",
+       "Code                                                                 \n",
+       "terschelling.50kmuitdekust                                           \n",
+       "rottumerplaat.70kmuitdekust                                          \n",
+       "goeree20kmuitdekust                  fosfor totaal                   \n",
+       "terschelling.100kmuitdekust     perfluorhexaanzuur                   \n",
+       "appelzak.2kmuitdekust                      cadmium                   \n",
+       "\n",
+       "                            Groepering.Omschrijving  \\\n",
+       "Code                                                  \n",
+       "terschelling.50kmuitdekust                            \n",
+       "rottumerplaat.70kmuitdekust                           \n",
+       "goeree20kmuitdekust                                   \n",
+       "terschelling.100kmuitdekust                           \n",
+       "appelzak.2kmuitdekust                                 \n",
+       "\n",
+       "                                                    Code  \n",
+       "Code                                                      \n",
+       "terschelling.50kmuitdekust    terschelling.50kmuitdekust  \n",
+       "rottumerplaat.70kmuitdekust  rottumerplaat.70kmuitdekust  \n",
+       "goeree20kmuitdekust                  goeree20kmuitdekust  \n",
+       "terschelling.100kmuitdekust  terschelling.100kmuitdekust  \n",
+       "appelzak.2kmuitdekust              appelzak.2kmuitdekust  \n",
        "\n",
-       "          Parameter.Code         Parameter.Omschrijving Groepering.Code  \\\n",
-       "Code                                                                      \n",
-       "ROTTMPT3             NVT  Waarde is niet van toepassing             NVT   \n",
-       "SCHOUWN10            NVT  Waarde is niet van toepassing             NVT   \n",
-       "TERSLG235            NVT  Waarde is niet van toepassing             NVT   \n",
-       "WALCRN2              NVT  Waarde is niet van toepassing             NVT   \n",
-       "GOERE6               NVT  Waarde is niet van toepassing             NVT   \n",
-       "\n",
-       "          Groepering.Omschrijving       Code  \n",
-       "Code                                          \n",
-       "ROTTMPT3      Niet van toepassing   ROTTMPT3  \n",
-       "SCHOUWN10     Niet van toepassing  SCHOUWN10  \n",
-       "TERSLG235     Niet van toepassing  TERSLG235  \n",
-       "WALCRN2       Niet van toepassing    WALCRN2  \n",
-       "GOERE6        Niet van toepassing     GOERE6  "
+       "[5 rows x 21 columns]"
       ]
      },
      "execution_count": 8,
@@ -1102,17 +1351,19 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Locatie_MessageID</th>\n",
+       "      <th>Lat</th>\n",
+       "      <th>Lon</th>\n",
        "      <th>Coordinatenstelsel</th>\n",
-       "      <th>X</th>\n",
-       "      <th>Y</th>\n",
        "      <th>Naam</th>\n",
+       "      <th>Omschrijving</th>\n",
        "      <th>Parameter_Wat_Omschrijving</th>\n",
+       "      <th>ProcesType</th>\n",
        "      <th>Compartiment.Code</th>\n",
        "      <th>Compartiment.Omschrijving</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Grootheid.Omschrijving</th>\n",
        "      <th>Eenheid.Code</th>\n",
        "      <th>Eenheid.Omschrijving</th>\n",
-       "      <th>Grootheid.Code</th>\n",
-       "      <th>Grootheid.Omschrijving</th>\n",
        "      <th>Hoedanigheid.Code</th>\n",
        "      <th>Hoedanigheid.Omschrijving</th>\n",
        "      <th>Parameter.Code</th>\n",
@@ -1142,266 +1393,138 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>SCHEVNGN</th>\n",
-       "      <td>10406</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <th>scheveningen</th>\n",
+       "      <td>2609</td>\n",
+       "      <td>52.099035</td>\n",
+       "      <td>4.263563</td>\n",
+       "      <td>ETRS89</td>\n",
        "      <td>Scheveningen</td>\n",
-       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
-       "      <td>OW</td>\n",
-       "      <td>Oppervlaktewater</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>centimeter</td>\n",
-       "      <td>WATHTBRKD</td>\n",
-       "      <td>Waterhoogte berekend</td>\n",
-       "      <td>NAP</td>\n",
-       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>GETETBRKD2</td>\n",
-       "      <td>Getijextreem berekend</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SCHEVNGN</th>\n",
-       "      <td>10406</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
        "      <td>Scheveningen</td>\n",
-       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
+       "      <td>Waterhoogte in Oppervlaktewater t.o.v. Normaal...</td>\n",
+       "      <td>meting</td>\n",
        "      <td>OW</td>\n",
        "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Waterhoogte</td>\n",
        "      <td>cm</td>\n",
        "      <td>centimeter</td>\n",
-       "      <td>WATHTBRKD</td>\n",
-       "      <td>Waterhoogte berekend</td>\n",
        "      <td>NAP</td>\n",
        "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>SCHEVNGN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>scheveningen</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SCHEVNGN</th>\n",
-       "      <td>10406</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <th>scheveningen</th>\n",
+       "      <td>2609</td>\n",
+       "      <td>52.099035</td>\n",
+       "      <td>4.263563</td>\n",
+       "      <td>ETRS89</td>\n",
        "      <td>Scheveningen</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
-       "      <td>OW</td>\n",
-       "      <td>Oppervlaktewater</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>centimeter</td>\n",
-       "      <td>WATHTE</td>\n",
-       "      <td>Waterhoogte</td>\n",
-       "      <td>NAP</td>\n",
-       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>GETETM2</td>\n",
-       "      <td>Getijextremen</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SCHEVNGN</th>\n",
-       "      <td>10406</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
        "      <td>Scheveningen</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
+       "      <td>Waterhoogte astronomisch in Oppervlaktewater t...</td>\n",
+       "      <td>astronomisch</td>\n",
        "      <td>OW</td>\n",
        "      <td>Oppervlaktewater</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>centimeter</td>\n",
-       "      <td>WATHTE</td>\n",
+       "      <td>...</td>\n",
        "      <td>Waterhoogte</td>\n",
-       "      <td>NAP</td>\n",
-       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SCHEVNGN</th>\n",
-       "      <td>10406</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
-       "      <td>Scheveningen</td>\n",
-       "      <td>Waterhoogte astronomisch Oppervlaktewater t.o....</td>\n",
-       "      <td>OW</td>\n",
-       "      <td>Oppervlaktewater</td>\n",
        "      <td>cm</td>\n",
        "      <td>centimeter</td>\n",
-       "      <td>WATHTEASTRO</td>\n",
-       "      <td>Waterhoogte astronomisch</td>\n",
        "      <td>NAP</td>\n",
        "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>SCHEVNGN</td>\n",
+       "      <td>GETETBRKD2</td>\n",
+       "      <td>Getijextreem berekend</td>\n",
+       "      <td>scheveningen</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SCHEVNGN</th>\n",
-       "      <td>10406</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <th>scheveningen</th>\n",
+       "      <td>2609</td>\n",
+       "      <td>52.099035</td>\n",
+       "      <td>4.263563</td>\n",
+       "      <td>ETRS89</td>\n",
        "      <td>Scheveningen</td>\n",
-       "      <td>Levendigheid Oppervlaktewater cm2</td>\n",
-       "      <td>OW</td>\n",
-       "      <td>Oppervlaktewater</td>\n",
-       "      <td>cm2</td>\n",
-       "      <td>vierkante centimeter</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SCHEVNGN</th>\n",
-       "      <td>10406</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
        "      <td>Scheveningen</td>\n",
-       "      <td>Getijextreemtype Oppervlaktewater</td>\n",
+       "      <td>Getijextreemtype astronomisch in Oppervlaktewater</td>\n",
+       "      <td>astronomisch</td>\n",
        "      <td>OW</td>\n",
        "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td></td>\n",
        "      <td>DIMSLS</td>\n",
        "      <td>dimensieloos</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
+       "      <td>Niet van toepassing</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>niet van toepassing</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
        "      <td>GETETBRKD2</td>\n",
        "      <td>Getijextreem berekend</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SCHEVNGN</th>\n",
-       "      <td>10406</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
-       "      <td>Scheveningen</td>\n",
-       "      <td>Getijextreemtype Oppervlaktewater</td>\n",
-       "      <td>OW</td>\n",
-       "      <td>Oppervlaktewater</td>\n",
-       "      <td>DIMSLS</td>\n",
-       "      <td>dimensieloos</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>GETETM2</td>\n",
-       "      <td>Getijextremen</td>\n",
-       "      <td>SCHEVNGN</td>\n",
+       "      <td>scheveningen</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>3 rows × 21 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "          Locatie_MessageID Coordinatenstelsel              X             Y  \\\n",
+       "              Locatie_MessageID        Lat       Lon Coordinatenstelsel  \\\n",
+       "Code                                                                      \n",
+       "scheveningen               2609  52.099035  4.263563             ETRS89   \n",
+       "scheveningen               2609  52.099035  4.263563             ETRS89   \n",
+       "scheveningen               2609  52.099035  4.263563             ETRS89   \n",
+       "\n",
+       "                      Naam  Omschrijving  \\\n",
+       "Code                                       \n",
+       "scheveningen  Scheveningen  Scheveningen   \n",
+       "scheveningen  Scheveningen  Scheveningen   \n",
+       "scheveningen  Scheveningen  Scheveningen   \n",
+       "\n",
+       "                                     Parameter_Wat_Omschrijving    ProcesType  \\\n",
+       "Code                                                                            \n",
+       "scheveningen  Waterhoogte in Oppervlaktewater t.o.v. Normaal...        meting   \n",
+       "scheveningen  Waterhoogte astronomisch in Oppervlaktewater t...  astronomisch   \n",
+       "scheveningen  Getijextreemtype astronomisch in Oppervlaktewater  astronomisch   \n",
+       "\n",
+       "             Compartiment.Code Compartiment.Omschrijving  ...  \\\n",
+       "Code                                                      ...   \n",
+       "scheveningen                OW          Oppervlaktewater  ...   \n",
+       "scheveningen                OW          Oppervlaktewater  ...   \n",
+       "scheveningen                OW          Oppervlaktewater  ...   \n",
+       "\n",
+       "             Grootheid.Omschrijving Eenheid.Code Eenheid.Omschrijving  \\\n",
+       "Code                                                                    \n",
+       "scheveningen            Waterhoogte           cm           centimeter   \n",
+       "scheveningen            Waterhoogte           cm           centimeter   \n",
+       "scheveningen                              DIMSLS         dimensieloos   \n",
+       "\n",
+       "             Hoedanigheid.Code       Hoedanigheid.Omschrijving Parameter.Code  \\\n",
+       "Code                                                                            \n",
+       "scheveningen               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
+       "scheveningen               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
+       "scheveningen               NVT             Niet van toepassing            NVT   \n",
+       "\n",
+       "             Parameter.Omschrijving Groepering.Code Groepering.Omschrijving  \\\n",
        "Code                                                                          \n",
-       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
-       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
-       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
-       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
-       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
-       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
-       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
-       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
-       "\n",
-       "                  Naam                         Parameter_Wat_Omschrijving  \\\n",
-       "Code                                                                        \n",
-       "SCHEVNGN  Scheveningen  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
-       "SCHEVNGN  Scheveningen  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
-       "SCHEVNGN  Scheveningen  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "SCHEVNGN  Scheveningen  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "SCHEVNGN  Scheveningen  Waterhoogte astronomisch Oppervlaktewater t.o....   \n",
-       "SCHEVNGN  Scheveningen                  Levendigheid Oppervlaktewater cm2   \n",
-       "SCHEVNGN  Scheveningen                 Getijextreemtype Oppervlaktewater    \n",
-       "SCHEVNGN  Scheveningen                 Getijextreemtype Oppervlaktewater    \n",
-       "\n",
-       "         Compartiment.Code Compartiment.Omschrijving Eenheid.Code  \\\n",
-       "Code                                                                \n",
-       "SCHEVNGN                OW          Oppervlaktewater           cm   \n",
-       "SCHEVNGN                OW          Oppervlaktewater           cm   \n",
-       "SCHEVNGN                OW          Oppervlaktewater           cm   \n",
-       "SCHEVNGN                OW          Oppervlaktewater           cm   \n",
-       "SCHEVNGN                OW          Oppervlaktewater           cm   \n",
-       "SCHEVNGN                OW          Oppervlaktewater          cm2   \n",
-       "SCHEVNGN                OW          Oppervlaktewater       DIMSLS   \n",
-       "SCHEVNGN                OW          Oppervlaktewater       DIMSLS   \n",
-       "\n",
-       "          Eenheid.Omschrijving Grootheid.Code         Grootheid.Omschrijving  \\\n",
-       "Code                                                                           \n",
-       "SCHEVNGN            centimeter      WATHTBRKD           Waterhoogte berekend   \n",
-       "SCHEVNGN            centimeter      WATHTBRKD           Waterhoogte berekend   \n",
-       "SCHEVNGN            centimeter         WATHTE                    Waterhoogte   \n",
-       "SCHEVNGN            centimeter         WATHTE                    Waterhoogte   \n",
-       "SCHEVNGN            centimeter    WATHTEASTRO       Waterhoogte astronomisch   \n",
-       "SCHEVNGN  vierkante centimeter            NVT  Waarde is niet van toepassing   \n",
-       "SCHEVNGN          dimensieloos            NVT  Waarde is niet van toepassing   \n",
-       "SCHEVNGN          dimensieloos            NVT  Waarde is niet van toepassing   \n",
-       "\n",
-       "         Hoedanigheid.Code       Hoedanigheid.Omschrijving Parameter.Code  \\\n",
-       "Code                                                                        \n",
-       "SCHEVNGN               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
-       "SCHEVNGN               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
-       "SCHEVNGN               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
-       "SCHEVNGN               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
-       "SCHEVNGN               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
-       "SCHEVNGN               NVT             niet van toepassing            NVT   \n",
-       "SCHEVNGN               NVT             niet van toepassing            NVT   \n",
-       "SCHEVNGN               NVT             niet van toepassing            NVT   \n",
-       "\n",
-       "                 Parameter.Omschrijving Groepering.Code  \\\n",
-       "Code                                                      \n",
-       "SCHEVNGN  Waarde is niet van toepassing      GETETBRKD2   \n",
-       "SCHEVNGN  Waarde is niet van toepassing             NVT   \n",
-       "SCHEVNGN  Waarde is niet van toepassing         GETETM2   \n",
-       "SCHEVNGN  Waarde is niet van toepassing             NVT   \n",
-       "SCHEVNGN  Waarde is niet van toepassing             NVT   \n",
-       "SCHEVNGN  Waarde is niet van toepassing             NVT   \n",
-       "SCHEVNGN  Waarde is niet van toepassing      GETETBRKD2   \n",
-       "SCHEVNGN  Waarde is niet van toepassing         GETETM2   \n",
-       "\n",
-       "         Groepering.Omschrijving      Code  \n",
-       "Code                                        \n",
-       "SCHEVNGN   Getijextreem berekend  SCHEVNGN  \n",
-       "SCHEVNGN     Niet van toepassing  SCHEVNGN  \n",
-       "SCHEVNGN           Getijextremen  SCHEVNGN  \n",
-       "SCHEVNGN     Niet van toepassing  SCHEVNGN  \n",
-       "SCHEVNGN     Niet van toepassing  SCHEVNGN  \n",
-       "SCHEVNGN     Niet van toepassing  SCHEVNGN  \n",
-       "SCHEVNGN   Getijextreem berekend  SCHEVNGN  \n",
-       "SCHEVNGN           Getijextremen  SCHEVNGN  "
+       "scheveningen                    NVT                                           \n",
+       "scheveningen                    NVT      GETETBRKD2   Getijextreem berekend   \n",
+       "scheveningen                    NVT      GETETBRKD2   Getijextreem berekend   \n",
+       "\n",
+       "                      Code  \n",
+       "Code                        \n",
+       "scheveningen  scheveningen  \n",
+       "scheveningen  scheveningen  \n",
+       "scheveningen  scheveningen  \n",
+       "\n",
+       "[3 rows x 21 columns]"
       ]
      },
      "execution_count": 9,
@@ -1411,7 +1534,7 @@
    ],
    "source": [
     "# multiple parameters avaialble per location, each combination is a row\n",
-    "selected = locations.loc['SCHEVNGN']\n",
+    "selected = locations.loc['scheveningen']\n",
     "selected"
    ]
   },
@@ -1442,17 +1565,19 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Locatie_MessageID</th>\n",
+       "      <th>Lat</th>\n",
+       "      <th>Lon</th>\n",
        "      <th>Coordinatenstelsel</th>\n",
-       "      <th>X</th>\n",
-       "      <th>Y</th>\n",
        "      <th>Naam</th>\n",
+       "      <th>Omschrijving</th>\n",
        "      <th>Parameter_Wat_Omschrijving</th>\n",
+       "      <th>ProcesType</th>\n",
        "      <th>Compartiment.Code</th>\n",
        "      <th>Compartiment.Omschrijving</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Grootheid.Omschrijving</th>\n",
        "      <th>Eenheid.Code</th>\n",
        "      <th>Eenheid.Omschrijving</th>\n",
-       "      <th>Grootheid.Code</th>\n",
-       "      <th>Grootheid.Omschrijving</th>\n",
        "      <th>Hoedanigheid.Code</th>\n",
        "      <th>Hoedanigheid.Omschrijving</th>\n",
        "      <th>Parameter.Code</th>\n",
@@ -1482,63 +1607,106 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>SCHEVNGN</th>\n",
-       "      <td>10406</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
-       "      <td>Scheveningen</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
+       "      <th>ameland.nes</th>\n",
+       "      <td>6955</td>\n",
+       "      <td>53.429766</td>\n",
+       "      <td>5.759448</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>Waterhoogte in Oppervlaktewater t.o.v. Normaal...</td>\n",
+       "      <td>meting</td>\n",
        "      <td>OW</td>\n",
        "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Waterhoogte</td>\n",
        "      <td>cm</td>\n",
        "      <td>centimeter</td>\n",
-       "      <td>WATHTE</td>\n",
-       "      <td>Waterhoogte</td>\n",
        "      <td>NAP</td>\n",
        "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
        "      <td>NVT</td>\n",
-       "      <td>Niet van toepassing</td>\n",
-       "      <td>SCHEVNGN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>ameland.nes</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ameland.nes</th>\n",
+       "      <td>6955</td>\n",
+       "      <td>53.429766</td>\n",
+       "      <td>5.759448</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>Gemiddelde Waterhoogte in Oppervlaktewater t.o...</td>\n",
+       "      <td>meting</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>centimeter</td>\n",
+       "      <td>NAP</td>\n",
+       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>ameland.nes</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>2 rows × 21 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "          Locatie_MessageID Coordinatenstelsel              X             Y  \\\n",
-       "Code                                                                          \n",
-       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
+       "             Locatie_MessageID        Lat       Lon Coordinatenstelsel  \\\n",
+       "Code                                                                     \n",
+       "ameland.nes               6955  53.429766  5.759448             ETRS89   \n",
+       "ameland.nes               6955  53.429766  5.759448             ETRS89   \n",
        "\n",
-       "                  Naam                         Parameter_Wat_Omschrijving  \\\n",
+       "                     Naam  Omschrijving  \\\n",
+       "Code                                      \n",
+       "ameland.nes  Ameland, Nes  Ameland, Nes   \n",
+       "ameland.nes  Ameland, Nes  Ameland, Nes   \n",
+       "\n",
+       "                                    Parameter_Wat_Omschrijving ProcesType  \\\n",
        "Code                                                                        \n",
-       "SCHEVNGN  Scheveningen  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
+       "ameland.nes  Waterhoogte in Oppervlaktewater t.o.v. Normaal...     meting   \n",
+       "ameland.nes  Gemiddelde Waterhoogte in Oppervlaktewater t.o...     meting   \n",
        "\n",
-       "         Compartiment.Code Compartiment.Omschrijving Eenheid.Code  \\\n",
-       "Code                                                                \n",
-       "SCHEVNGN                OW          Oppervlaktewater           cm   \n",
+       "            Compartiment.Code Compartiment.Omschrijving  ...  \\\n",
+       "Code                                                     ...   \n",
+       "ameland.nes                OW          Oppervlaktewater  ...   \n",
+       "ameland.nes                OW          Oppervlaktewater  ...   \n",
        "\n",
-       "         Eenheid.Omschrijving Grootheid.Code Grootheid.Omschrijving  \\\n",
-       "Code                                                                  \n",
-       "SCHEVNGN           centimeter         WATHTE            Waterhoogte   \n",
+       "            Grootheid.Omschrijving Eenheid.Code Eenheid.Omschrijving  \\\n",
+       "Code                                                                   \n",
+       "ameland.nes            Waterhoogte           cm           centimeter   \n",
+       "ameland.nes            Waterhoogte           cm           centimeter   \n",
        "\n",
-       "         Hoedanigheid.Code       Hoedanigheid.Omschrijving Parameter.Code  \\\n",
-       "Code                                                                        \n",
-       "SCHEVNGN               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
+       "            Hoedanigheid.Code       Hoedanigheid.Omschrijving Parameter.Code  \\\n",
+       "Code                                                                           \n",
+       "ameland.nes               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
+       "ameland.nes               NAP  t.o.v. Normaal Amsterdams Peil                  \n",
        "\n",
-       "                 Parameter.Omschrijving Groepering.Code  \\\n",
-       "Code                                                      \n",
-       "SCHEVNGN  Waarde is niet van toepassing             NVT   \n",
+       "            Parameter.Omschrijving Groepering.Code Groepering.Omschrijving  \\\n",
+       "Code                                                                         \n",
+       "ameland.nes                    NVT                                           \n",
+       "ameland.nes                                                                  \n",
        "\n",
-       "         Groepering.Omschrijving      Code  \n",
-       "Code                                        \n",
-       "SCHEVNGN     Niet van toepassing  SCHEVNGN  "
+       "                    Code  \n",
+       "Code                      \n",
+       "ameland.nes  ameland.nes  \n",
+       "ameland.nes  ameland.nes  \n",
+       "\n",
+       "[2 rows x 21 columns]"
       ]
      },
      "execution_count": 10,
@@ -1548,12 +1716,14 @@
    ],
    "source": [
     "# subset to a single location/measurement location (waterhoogte timeseries for Scheveningen)\n",
-    "bool_stations = locations.index.isin(['SCHEVNGN'])\n",
-    "# measured (WATHTE) versus computed/astro\n",
+    "bool_stations = locations.index.isin(['ameland.nes'])\n",
+    "# meting/astronomisch/verwachting\n",
+    "bool_procestype = locations['ProcesType'].isin(['meting'])\n",
+    "# waterlevel/waterhoogte (WATHTE)\n",
     "bool_grootheid = locations['Grootheid.Code'].isin(['WATHTE'])\n",
     "# timeseries (NVT) versus extremes\n",
-    "bool_groepering = locations['Groepering.Code'].isin(['NVT'])\n",
-    "selected = locations.loc[bool_stations & bool_grootheid & bool_groepering]\n",
+    "bool_groepering = locations['Groepering.Code'].isin([''])\n",
+    "selected = locations.loc[bool_stations & bool_procestype & bool_grootheid & bool_groepering]\n",
     "selected"
    ]
   },
@@ -1566,16 +1736,16 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "  0%|                                                                                            | 0/9 [00:00<?, ?it/s]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.rijkswaterstaat.nl/ONLINEWAARNEMINGENSERVICES_DBO/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"NVT\"}}}, \"Locatie\": {\"X\": 586550.994420996, \"Y\": 5772806.43069697, \"Code\": \"SCHEVNGN\"}, \"Periode\": {\"Begindatumtijd\": \"2019-05-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-06-01T00:00:00.000+00:00\"}}\n",
-      " 11%|█████████▎                                                                          | 1/9 [00:02<00:20,  2.52s/it]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.rijkswaterstaat.nl/ONLINEWAARNEMINGENSERVICES_DBO/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"NVT\"}}}, \"Locatie\": {\"X\": 586550.994420996, \"Y\": 5772806.43069697, \"Code\": \"SCHEVNGN\"}, \"Periode\": {\"Begindatumtijd\": \"2019-06-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-07-01T00:00:00.000+00:00\"}}\n",
-      " 22%|██████████████████▋                                                                 | 2/9 [00:05<00:17,  2.54s/it]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.rijkswaterstaat.nl/ONLINEWAARNEMINGENSERVICES_DBO/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"NVT\"}}}, \"Locatie\": {\"X\": 586550.994420996, \"Y\": 5772806.43069697, \"Code\": \"SCHEVNGN\"}, \"Periode\": {\"Begindatumtijd\": \"2019-07-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-08-01T00:00:00.000+00:00\"}}\n",
-      " 33%|████████████████████████████                                                        | 3/9 [00:07<00:15,  2.53s/it]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.rijkswaterstaat.nl/ONLINEWAARNEMINGENSERVICES_DBO/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"NVT\"}}}, \"Locatie\": {\"X\": 586550.994420996, \"Y\": 5772806.43069697, \"Code\": \"SCHEVNGN\"}, \"Periode\": {\"Begindatumtijd\": \"2019-08-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-09-01T00:00:00.000+00:00\"}}\n",
-      " 44%|█████████████████████████████████████▎                                              | 4/9 [00:12<00:17,  3.55s/it]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.rijkswaterstaat.nl/ONLINEWAARNEMINGENSERVICES_DBO/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"NVT\"}}}, \"Locatie\": {\"X\": 586550.994420996, \"Y\": 5772806.43069697, \"Code\": \"SCHEVNGN\"}, \"Periode\": {\"Begindatumtijd\": \"2019-09-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-10-01T00:00:00.000+00:00\"}}\n",
-      " 56%|██████████████████████████████████████████████▋                                     | 5/9 [00:15<00:12,  3.15s/it]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.rijkswaterstaat.nl/ONLINEWAARNEMINGENSERVICES_DBO/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"NVT\"}}}, \"Locatie\": {\"X\": 586550.994420996, \"Y\": 5772806.43069697, \"Code\": \"SCHEVNGN\"}, \"Periode\": {\"Begindatumtijd\": \"2019-10-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-11-01T00:00:00.000+00:00\"}}\n",
-      " 67%|████████████████████████████████████████████████████████                            | 6/9 [00:17<00:08,  2.89s/it]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.rijkswaterstaat.nl/ONLINEWAARNEMINGENSERVICES_DBO/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"NVT\"}}}, \"Locatie\": {\"X\": 586550.994420996, \"Y\": 5772806.43069697, \"Code\": \"SCHEVNGN\"}, \"Periode\": {\"Begindatumtijd\": \"2019-11-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-12-01T00:00:00.000+00:00\"}}\n",
-      " 78%|█████████████████████████████████████████████████████████████████▎                  | 7/9 [00:20<00:05,  2.80s/it]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.rijkswaterstaat.nl/ONLINEWAARNEMINGENSERVICES_DBO/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"NVT\"}}}, \"Locatie\": {\"X\": 586550.994420996, \"Y\": 5772806.43069697, \"Code\": \"SCHEVNGN\"}, \"Periode\": {\"Begindatumtijd\": \"2019-12-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2020-01-01T00:00:00.000+00:00\"}}\n",
-      " 89%|██████████████████████████████████████████████████████████████████████████▋         | 8/9 [00:22<00:02,  2.77s/it]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.rijkswaterstaat.nl/ONLINEWAARNEMINGENSERVICES_DBO/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"NVT\"}}}, \"Locatie\": {\"X\": 586550.994420996, \"Y\": 5772806.43069697, \"Code\": \"SCHEVNGN\"}, \"Periode\": {\"Begindatumtijd\": \"2020-01-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2020-02-01T00:00:00.000+00:00\"}}\n",
-      "100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:25<00:00,  2.86s/it]\n",
+      "  0%|                                                                                            | 0/9 [00:00<?, ?it/s]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.beta.rijkswaterstaat.nl/test/ONLINEWAARNEMINGENSERVICES/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"\"}}}, \"Locatie\": {\"Code\": \"ameland.nes\"}, \"Periode\": {\"Begindatumtijd\": \"2019-05-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-06-01T00:00:00.000+00:00\"}}\n",
+      " 11%|█████████▎                                                                          | 1/9 [00:00<00:04,  1.64it/s]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.beta.rijkswaterstaat.nl/test/ONLINEWAARNEMINGENSERVICES/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"\"}}}, \"Locatie\": {\"Code\": \"ameland.nes\"}, \"Periode\": {\"Begindatumtijd\": \"2019-06-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-07-01T00:00:00.000+00:00\"}}\n",
+      " 22%|██████████████████▋                                                                 | 2/9 [00:01<00:04,  1.68it/s]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.beta.rijkswaterstaat.nl/test/ONLINEWAARNEMINGENSERVICES/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"\"}}}, \"Locatie\": {\"Code\": \"ameland.nes\"}, \"Periode\": {\"Begindatumtijd\": \"2019-07-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-08-01T00:00:00.000+00:00\"}}\n",
+      " 33%|████████████████████████████                                                        | 3/9 [00:01<00:03,  1.61it/s]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.beta.rijkswaterstaat.nl/test/ONLINEWAARNEMINGENSERVICES/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"\"}}}, \"Locatie\": {\"Code\": \"ameland.nes\"}, \"Periode\": {\"Begindatumtijd\": \"2019-08-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-09-01T00:00:00.000+00:00\"}}\n",
+      " 44%|█████████████████████████████████████▎                                              | 4/9 [00:02<00:03,  1.65it/s]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.beta.rijkswaterstaat.nl/test/ONLINEWAARNEMINGENSERVICES/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"\"}}}, \"Locatie\": {\"Code\": \"ameland.nes\"}, \"Periode\": {\"Begindatumtijd\": \"2019-09-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-10-01T00:00:00.000+00:00\"}}\n",
+      " 56%|██████████████████████████████████████████████▋                                     | 5/9 [00:03<00:02,  1.66it/s]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.beta.rijkswaterstaat.nl/test/ONLINEWAARNEMINGENSERVICES/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"\"}}}, \"Locatie\": {\"Code\": \"ameland.nes\"}, \"Periode\": {\"Begindatumtijd\": \"2019-10-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-11-01T00:00:00.000+00:00\"}}\n",
+      " 67%|████████████████████████████████████████████████████████                            | 6/9 [00:03<00:01,  1.66it/s]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.beta.rijkswaterstaat.nl/test/ONLINEWAARNEMINGENSERVICES/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"\"}}}, \"Locatie\": {\"Code\": \"ameland.nes\"}, \"Periode\": {\"Begindatumtijd\": \"2019-11-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2019-12-01T00:00:00.000+00:00\"}}\n",
+      " 78%|█████████████████████████████████████████████████████████████████▎                  | 7/9 [00:04<00:01,  1.64it/s]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.beta.rijkswaterstaat.nl/test/ONLINEWAARNEMINGENSERVICES/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"\"}}}, \"Locatie\": {\"Code\": \"ameland.nes\"}, \"Periode\": {\"Begindatumtijd\": \"2019-12-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2020-01-01T00:00:00.000+00:00\"}}\n",
+      " 89%|██████████████████████████████████████████████████████████████████████████▋         | 8/9 [00:04<00:00,  1.58it/s]DEBUG:ddlpy.ddlpy:Requesting at https://waterwebservices.beta.rijkswaterstaat.nl/test/ONLINEWAARNEMINGENSERVICES/OphalenWaarnemingen with request: {\"AquoPlusWaarnemingMetadata\": {\"AquoMetadata\": {\"Compartiment\": {\"Code\": \"OW\"}, \"Grootheid\": {\"Code\": \"WATHTE\"}, \"Eenheid\": {\"Code\": \"cm\"}, \"Hoedanigheid\": {\"Code\": \"NAP\"}, \"Parameter\": {\"Code\": \"NVT\"}, \"Groepering\": {\"Code\": \"\"}}}, \"Locatie\": {\"Code\": \"ameland.nes\"}, \"Periode\": {\"Begindatumtijd\": \"2020-01-01T00:00:00.000+00:00\", \"Einddatumtijd\": \"2020-02-01T00:00:00.000+00:00\"}}\n",
+      "100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:05<00:00,  1.60it/s]\n",
       "DEBUG:ddlpy.ddlpy:8 duplicated values dropped\n"
      ]
     }
@@ -1602,7 +1772,7 @@
     },
     {
      "data": {
-      "image/png": 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EOuGEE+j888+nJz3pSbR8+XI64YQT4uV0F154IX34wx+mM888k4466ih6/OMfT1/60pfM8drHPe5xvQzPLvXxla98Jf3sZz+je+65h3bu3EkvetGLiIjomGOOoVmzZlG73ab99tsvGtcf/vCH6corr6Qvf/nL9JznPIf23Xdf+vu///vYxzrjMN5+bt++nWbMmEG33XYbzZgxQ6Qh54WHPfbYgz7/+c/TO97xjji3AgYGqpPaZVnGZ6Ojo7CePffcM/5dFIX4d3gWnBh15mqANzahnu9///vC6UFEZlxe85rX0E9+8hOaO3fuhF1MuCuYVkb8ypUracOGDXHBHHXUUbR582a67bbb6MUvfjEREV1zzTXUbrfNwDdo0KBBgwbTGRu2D9MjW4boT582vULyHou4++Et9P/7w/3o8fvsScNjLbpq4druhRo0eAzixBNPpJGRESqKgk444QSR9vznP5/23ntvWr58uQhH5njRi15Ev/rVr+iZz3wm7bEHNhv22msv89kxomTMzps3jz7/+c/TE5/4RDrssMPo85//PD31qU+Nu8L33Xcfbdiwgc4444wYOXvrrbeKum644QZ6+ctfTv/xH/8Rny1ZsqRr/w877DD68Y9/TENDQ3E3/qabbuq5jwivfOUr6bTTTqMLLriAjj766GgE/tVf/RV973vfo7IsY9h96MM73vGOeOH39u3bxefo6owDwh//8R/TnnvuSTfffHM8s71p0yZatGhRfK9HHHEEtVotWrt2Lb3iFa+o3ccc3vzmN9OXvvQlc3z5SU96EhERPfLII3GHvB/fW68zV+vgKU95Ch188MH04IMP0kknneTmfc973kN/+qd/Sn/7t39Ll1566S61OxGY0Ivttm/fTvPnz48vb+nSpTR//nxavnw5bd++nT7ykY/QTTfdRMuWLaOrr76aXv/619NznvOcyGQOO+wwOvHEE+nd7343zZs3j2644QZ63/veR295y1vieY4GDRo0aNBguoLvRvzytpX0tu/f5ORu0C/87Teup1n3ryMiooIKkdZul6hIgwaPScyYMYMWLlxI9957r9lpfPzjH08f/vCH6YMf/CD98Ic/pCVLltDtt99OZ511Vrzk673vfS9t3LiR3vrWt9Itt9xCS5Ysocsvv5ze+c53RsP9mc98Jt188820bNkyWr9+fdw9PfbYY+nyyy+nPfbYgw499ND47PzzzxcG0TOe8Qzaa6+96KyzzqIHH3yQfvvb39LnPvc5Qeuf/Mmf0K233kqXX345LVq0iD71qU/RLbfc0rX/b3vb26goCnr3u99N9957L/3+978Xt+bX7eM3vvENc9T35S9/Oe2999501llnif78xV/8Ba1du5Z+85vfxFD60IeLLrqI5s+fT3feeSe97W1vi2NVdxwQ9t9/fzr55JPpIx/5CF1zzTV099130zve8Y64K05E9NznPpdOOukkevvb304XXXQRLV26lObNm0enn346XXrppV3bQDjjjDPonHPOocHBwfhs3333pZe97GXxYrk5c+bQf//3f4+rfo46c7UuPvOZz9Dpp59OX//612nRokV011130bnnnktf+cpXTN73v//9dNppp9Hf/M3fxEsZpwsm1Ii/9dZb6YgjjoiemA996EN0xBFH0CmnnEIzZsygBQsW0N/+7d/Sc5/7XDr55JPpxS9+MV133XUiLOL888+nQw89lF71qlfRa17zGjr66KPpe9/73kSS3aBBgwYNGvQFz/r476MhP2OgoFZjQE4K2iVzoEgbnk782rW0YOXmSaepQYOpwgEHHEAHHHAATPvc5z5Hn/rUp+j000+Pm2eXXnopPetZzyIiooMPPphuuOEGarVa9H/+z/+hF77whfSBD3yADjzwwGgkfvjDH6YZM2bQ85///BgCTlSdi2+328LAPfbYY6nVatGxxx4bnz3pSU+i8847j37xi1/Q85//fDrjjDOMof1//+//pTe96U30j//4j3TkkUfShg0bxK58Dvvvvz/97ne/o7vuuouOOOII+uQnP2nC5uv0cf369Wbnf5999qGXvexltG3bNtGfvffeOz7nRvxXvvIV+oM/+AN6+ctfTq973evohBNOiCH4dcchhy996Uv0ile8gl73utfR8ccfT0cffXSMYg4499xz6e1vfzv953/+Jz3vec+jN7zhDXTLLbeM+8b14447jo477jjznfpzzjmHxsbG6MUvfjF94AMfoNNOO21c9Wt0m6t18a//+q909tln07nnnksvfOEL6ZhjjqHzzjsvW88HPvAB+sxnPkOvec1r6MYbb+xHV/qCouTbBI9RbN26lZ7whCfQli1bskysQYMGDRo06Dee+bFL6cEvvIYGBgo694aldMZl99H9p716qsl6zOOZH7uUvvaWP6fX//nTaMvOUTr8M1fQsjNeG9N+cvKRdPSf/FGXWhrsKj7zu3vo0697wVSTMS4MDQ3FG8b5pWgNGjRooOHxi4myQ6f8O/ENGjRo0KDBYxntjq9cbQjT2m2T84mq3RVxi+Ixv1UxfXHuDcummoQGDRo0eEyiMeIbNGjQoEGDCUTOlvyLz1892aTsVig7I142VnyDBg0auHj1q19N+++/P/xvVz4j12DiMK1up2/QoEGDBg0ea2g/9k+tTTla7ZLe+v2b6Of/N33/OQw7Gv7GsJ8YnHP9UhooiN7xl/Zs6Q9vXEYH7LsHvfGIp08BZQ0aNPBw9tln086dO2HaE5/4xEmmpkEdNEZ8gwYNGjRo0CdsGxqlux/eSkf98R/GZ5n71Rr0EWPtNs1bulE8a3wnk48bFq+noiigEX/pXY/Q0/9g38aIb9BgGkJ/e73B9EcTTt+gQYMGDRr0CTcsXk9vVZ+Ra3biJx54t13+dsvfYNdRFAU91u5Lfqz1p0GDBv3HVPCJxohv0KBBgwYN+gT0Bbnmq3JTg6BUNUbY5GGgeOw4rfbcc08iItqxY8cUU9KgQYPpjsAnAt+YDDTh9A0aNGiwG+ATF99FX3jjC4mI6Ip7VtNTn7AvvfDpT5hiqh57QPZLMGoeG6bNowd1LqffNjRKZ12zmD7xmsMmg6THPAaKIuu0KogeVYtgxowZdOCBB9LatWuJiGi//fajomgOxTRo0CChLEvasWMHrV27lg488ECaMWPGpLXdGPENGjRosBvggpuXRyP+C79fSCf86UGNET8BQLuQZTv93dgAEwNv89dLW7ttmL537YONEd8nDAzkd+KLQtrwq7cM0UFPmN7fXz/ooIOIiKIh36BBgwYIBx54YOQXk4XGiG/QoEGD3QwDWptu0DfA89fs6WMk0njaAd02XzhppcrToD+ozsTXy/uy06+mZWe8dmIJ2kUURUFPfepT6clPfjKNjo5ONTkNGjSYhthzzz0ndQc+oDHiGzRo0GB3w2Po3Op0Azp/7d1OX5ZlE6LbB/Q6ncN7GmjGvq8YKApqPQYvgZgxY8aUKOkNGjRokENzsV2DBg0aPAax8JGttHjtdpjWmC0Th96Nyep3+YYddOeKzX2nZ3cBGvboHHHeSWPD9x/NmDZo0KAuLl3wyFST8KhFY8Q3aNCgwWMQn/ndPfTNWYuz6dzYHGu1s/kadAcfPy90G4faVzjnhqX0X79c0HfadhfgCIjmQsHJQMM/GjRoUBetdkltFq3z3gtuF2nN10TqozHiGzRo0OAxiLFWSTMG8JZYURTCsHnOJy+bHKIeo3jOJy+jHSNjRETU7mLP6F3KoLAUzRGHXYI3ct435IsmLmWX0fCPBg0a1MX/99M76GtXPwDT3vr9m+gnNz00yRQ9etEY8Q0aNGjwGET1qSds2gwUzQVr/UbYWIC77c5gh3J7DDw2zxJPFtAQh3B6FB2R8kwURbsv/C8FNHN8MnDGZffF3c6l6wfpwnnLp5iiBg0qrNi0g9ZuG4ZpyzfsoHXbRyaZokcvGiO+QYMGDR6LcIyTgvIGfoNdA/zEHP+71GlhJ76xJnvFmq1DNDLWCX0Y5yfmGkweCiqaow2ThO/MWUKtzsS/Y/km+thFd00xRQ12Z6zctKNWvqKghmH3gMaIb9CgQYPdDI292H+EXXRvpxHfTh9+G8WlV7z8jGvod3euyqa70zx8MaBZC31HbkybsZ5cJJ40xYQ02O1x9BdnqSd4UhbZlAYIjRHfoEGDBo8RvOhzV8oHTVjrpKHtKMzRUJ9EenYHtNplMlSc0fXGfTpGQJx5xf30Y3YulK/rf//xbXTzgxumgqzaaFjL9EDzHhpMXzj39TTztjYaI75BgwYNHiPYOJjOknUzTaaj8fJoBr+B3htae7FdeD417+PaReto7dYhIiIabbXp6oVrYtrv73okXti3ZccoXXnvGljHVCIY772ew07lpofG+KvbVsa/b1yygeYv3xz/zdf1zHtW07INg5NJWk94rHKVRWu20YKVm+O/+fuaDli3bZhm379WPMsdmbro9pXTZt43yGPRmm304Lr0mdjL71k9hdRMHjyHbAOJxohv0KBBg8coGlE4eQhKcbssjSHj7xKX7O/JxzvPu4Wu7Bjum3eM0sk/vDWm/cf5t9OiNZUSefPSDfTuH90K65hK1IlyeDTYK//5izvj390MYd6feCfAoxyjrbb47NR0w7dmLabTLl0Y/83f13TArPvX0jvOvUU8yxnxH/r5nc0lmo8CnHbpQvo6u8X9//74timkZnJQFI9N/jZRaIz4Bg0aNHgMotlon54wF9uFnfjJJ4WIiGYURTSe0JxJn8CbnhMqRkD0aKlP50/LdetJSF+zdYie+9+Pjc+7vfPcW+j71z041WRkMTBQTGsnA5rNHrnTtycNAkbH2tTazV5UUci5+VjhbxOFxohv0KBBg8compDJyYM70o6hznfLpvP70rS/94Lbp4QODW8nvo7fYRoPOURRpDnzaNylyo33w5t30obB6fVpqfexOT7db9ZHTjaPn3jzfrTVpg/+bH4fqGrQK0797T3i39PX1ejjynvX0MV39H7kpKDpdyaey7rbHtpEP7h+6RRSI9EY8Q0aNGjwGMR03mnshsHhMVq7bSj+e/Ha7U7u6YG0ow6UafWL0qYMBfwzItCnbYRLFzwy5U6Hatemzpl4VBjnfXDd9infcfVW7sCj+OInvcsm0mj6ObEuWfBI/LsK88X0bdg+TFuHRieLLIjed+Jl4uotQzQ02iIiouGxNl18x8Mxben6wUdt+P2KjTtorFU5u8qypOUb0qfOFq+d+rWucd6Ny2rlW7t1iHaOtCaWmF3AJQtW0c9uWQHTvGXOefp0waWMD8xdsp6+M2fJFFIj0RjxDRo0aPAYhKcwT3d8Z84SevN35sZ/H/+VOVNITT3UVTxyF9tNB+DdvJBm80+1/ssN2rr3Dpg0lXTcmXNo+cZ63zSeCjyaP8HkORb1WdjpBs+x8q4f3kpfmnn/pNGCgNdn+HKDhR7rV355Nv2ic1mfPkv/yi/PpoWPbO0HmZOOV/zPLLpu8XoiqpwRf/Wl9Kmz478yvde6h9d/8wY654bpsyOs0e1z77koqYFpqrjwY2XTydnYGPENGjSYNCxdP0gnnX3TVJOxW2C8SvF//fJO99vbE4U//fTl8e+yJBp7tB0G7HUnWJebxMCJ558yE5KAEJUXQGDu4qzJgti9BaQERdHdpQcFJ6NfP7xxGZ1+2cJses7xwHeEp5EuKTCenbSimN7h6kT5dTI82pryO0jwfRb5/DptrN2O86oFeO90nWsIL1D8Ley2D4PjJ6Fb96/eRm/81g0TTVpP8NbRWLucdlEEHOP9VFxBUy9X7n54C/39t28Uz3KRKFqWTjYaI75BgwYTit/MfziGGm4cHKEbFqdvHF9175ppHRI23XH3w1vozhWbs+njEYXXLlo/JeHr24fHoqD0FOI7V2ymux/eMklUjQ/jVUEmS3XZkVlzrh3i7PRNKWpYT73eXD8Zvbpn1Raat3QjTOvWpel8UGa8xmy3nbupxnR/J/gYT/folIc376RZ96+ldtnZBaXKQOylrqnC2m1DdPODG8SzdrukQcXfwrxCd0gEx8W6bcN0B/us43RBbt5N94ic8a6Hkqb+EtU1W4fo1oc2iWdhSVTzJdGXk6WThcaIb9CgwYTi/104n+57ZBtM+9cf3UorNz06w9mmA75+9QP0v1ctgmnjPRPfLstJ2VUqyzKeweRtd8OXr7ifvjlr8USRVQuI9tzZ8SqNX16H06brHQZeoMB0MrrwsfeKaveCL/RsEvo13gucptOYI/RKX1hL0+EsbKtduk5lP6JjatErz26XREOjLZp592r6j5/cLvj+WBsZu30gsg/gfPfKe9fQ28+ZR8NjrbgrjWRI6FcLpIUnA9OT/WYxHY+fWJnYO4El+ETrdMC0cFgDNEZ8gwYNJg1THXL4WEM3QZ4zXrwyfEdmInHLsk30Z6deIZ7VkZPjDdPrJ+Y+uIFe/LkrxTNO03T7jFw3BLp6NWinWrHhreMd9Tx9sc+wDxPfr65HP73ExxAjDXxgOtxKfdHtK+kd586Dad7t9FO9c5iF2D1USWVJh35qZmdHt6SS78SjcPqJpLMHHPqpmbSJfcVgtNWmN39nLp0/bzkRYUM99Mt1RE7TV/howqGfYqHlXcbTXevT8GjKVMu6HBojvkGDBn3F9uEx+n8X3iGeBabo3X7doHfsymePcnpnWZY0YxK2JQZHxmikJXd85I515kzwhFJVD0OjLRuyGXfU85iqXd9uCCSgMffsk3D84foH1tN5U3TJUnJA9Lbb7qVNyk68c9u5B+G4UNSfcdl9wsCZCnSzZ8uypI/+cgGt3z5MRETbhkZppNWO5T76ywVTdhP65h2jdM8qfIFb4cT7T9VFV//6w1vd9LrzPkSsBLaPxn86XebFDfWSiFZt3klbd1ZH9kAQQdI/nMmpI6E++LP5tG0SvjgwZ9E6+vHcZTBtGg35uJCj3+MR06HLKCqOr4np5LNrjPgGDRr0FZsGR+g38+tfjBYY/VirTQ9tGJwgqupjybp0HnzFxh00ODw2hdT48IRJd2UaP29NUji9tyvSrfmpDrtFqBtqa26nz5Th83Ai0W2s6zglrn1gHf3opof6RNH4gMY/hdODtCKfNjmzq8vOc7yUT2bi4aa6/HfmLInG8URi4+AIbdwFZ8HPbl1Ba7dWdPI+tMuSfnbrChjOPdVAPHG01Y73hxRUrdnJNHavWrimVnveVydKkM+LTRlrtWnZ+qmX00TW2Lp/9bZMOH2vrlWii+94mDYNTrwRf9W9a+in8/Cn2Ijy/Ldy4E8/ORjgHQ/rNmWn4mjZ4rXb4qcIEdKZ+Hwdm3aRL44HjRHfoEGDaYG5D26gY740e6rJoFedmT5n9razb6KL2Pdypxu6CcPxiPh2u5yUcHqEOvrvwDQ8C8ixK0PH+8Xn4WQBniuv0Z8iV3gS4TffG3GTthPvftIgT0u8dR8Um4xN7P/65Z30X79cMK6yOfLE5wKncC71Yu4tWLklfv6ypGrNbh2aXKev+y34LuH04TfMp4Ho2EL5q99bH9pEx3559rjp7QewA7ikE756bSacPl9Xr1+u6DfGG6Y9Hc/Ea4znRNBU9en4r1xL963u3N2Ewun5Tnymjo9dtID+8+fz+06bh8aIb9CgwaQB7gh0WP2M6RSj1MG6bcM0Cm60nS4oqRz3hTxZIUpTF7JeR2marp+ickNXefinOS/fCcOfBtO/14u7+HnSqX4n3lEAXzG0iZNx/nGgwKG/RHInyqMFGluT8CZ6HZ5HtuykvzzjGiqK/PEH7tSYrsaJXqL829Ecf/yJ308SRV3mh3fEhCUV6jdX23RBihhI8yU8Q59dC+vJO87X6yf6+oXpwPcnAiWN/4K63Jj8vwvvoN9OwudvUfN1ZMJU8K3GiG/QoMEu43d3rqK124Z2qY6BKboe9pZlG+mulVtg2q6cOZ8MlGUXxasG8ZMZ/nn+zQ+ZG2wlLfXq4fkuun3lLlLVH7g3oE/zYwL+uDvbvp1nVfRGn4mqAc85EnDuDUsj6Q9tGKRbl8nPuk3prm+NMdPkVU42J+x5GjAsTcO2oTF6ePNO9/JHIt6vKnHFxh3Zz/BNNryICP2s1S5p1eadNPPuRyacrmBcwGMhNZxy3AD2Ijym6nLOzTtGDI8viOic65fC/PA8fw1nxlTd11M3dBw77FLaxXdMDzkYUfbfQTF3yQZaum7ij3LgzSb5O13QGPENGjTYZbz/p3fQbcs2EVHmEy9O2ZB9qkK4//fKRfS96x6Eafryqcm46KYXlJQ/7+edA/Q+eTaRb+GTF99Na7ZWzh5EXx1vtzZfPvTzO/tEXX3AbzLXcZg4z6ZqQ4a/BqTs1lmW7ZIm5TJEhG70feZ398a/f37rCvrPX1TzpSxL2jEyNmVKWdlFyeVGVq5cr4bbVIFPDb3uUV/C3xff8TB98GfzJ5Y4BeM04UZyUVRzxrnSPCRdfd9aet8Fd8TnEyU7ennfQ6OteO6Xy7W4E+/Nq3HSt6u46+EtkMd/9pJ78QVk4w5PR+8y1TXeu3F2jKRyO0daMFIgRzF/7nVrrF3SB382+XLQA3c29lbOf3+T4ej27ushml7RE40R36BBg74gKPG9ylDv3N5kYKAooGAlksx8eKxFL1SfRJtqdNuJryPwJnvUvZunp6u3u5+YTgoA0a4ZfWF+tcupu0ehDtJuWxE/n1US0fNPubz2DmvfaSJHye3iWJG16CfTcfXIHXYif2ebm8ijzmVT/Ua3kOqCqjlz+/LNTv6qQKvVFtFlEyU7/HB6+fuu826hb8xaXNEXnBM150tcQ5O8ztEa8fqMb9Z36i/kryjX+V28dhu94NOXe2RCjIy16fmnpHLHfnkWXXqXjM7o9pWK3GWDXPZPR8cdEdXyTMNjULnqHgX3AEw2GiO+QYMGfUEd3jp91XwM/k3y6Sk8yvxOvFOKK0ZemN5kQ3q7/R5MV/S6+zCt5pUbfptXjtvt/DycLARa7n54C52tImvi5/+Awjw9jd4ENyR6Gu7Ed5sFuXRONjfSJro7bz9nXtaJm2s/7K7yvmg50S7z97xcuuARurDzXfNdRbw1G65P+WzdtmHaoj7FVkUYsL87tWlMJx+dMWjZ3+gb9wG9nnsPaUOj9R1J37jmgfjFAv0J1TVbh82Oft1hde/8mIY8jH9Fo7dysg6Oybq1Hjt0WETONEJjxDdo0GDS4DHHycTdD6cz8N0+0zZdmTdRpcDl6C8KrqjVN1wm2hhzw8entcPER6/GVkzrsjs5mUDNe7s9k01uWZZ0f7hB2NBSUXP78k30PzPvV+WqX3Epoppr67cP07ptE/95tl6Bz4530mrm7zfqNHH/6m00PCbvvxAKOjIUWb77Vm+dlJ23axetq3V5IKd3rIbR3y7L7BGTmfes7ukzrB7cyCaV1CpL2qNDU9qJl+POZSPCZBvz3QzvtLar3zAeW4dG6eHNO2VdPRuBWPbzz5FpnvTlKxbRA2u2CVpsjalc3eld5ysEU4XFa7fTzhG11qnmnR+l/XfuWEelj00RRETO9PFoNUZ8gwYN+gpoCEwfnkdERH9z1vXi3zmjtiB/p2OqUdfb7V8iVS9/v1Ay5VEjKNPtMv+t+unwFuCuV3jW5YXkxnaq1ki3dqd6h51jaLRNJ3z12vhvPpR1nCjVei5h2sd+dRd97FcLOvkmvs/dzsTHfM6uKHasTM4K6Ub7CV+9lu7ohJ2jVet+Cq8kOvGr13Xm3sT3xzWQ2N+F4z1J76RKHHMue2y127THjD7NsR6Gp9UuY4h/iD7gF9uVVMlGz3E02fDmOJqDwTnxndlL6G3fv6mTX5ZDdbk0qDzHf+VaunvVViKqdtc5T+LtoapDf0ZaiZdleazj9JpOzt/Xfv06mn3/WvGsruMaIaebFIQjEvoNz2E93fTAxohv0GCa4K/+Z1YMw5ruaLVLeubHLoVpvTLZqRZAHqZjOP0L2dm8ugaWqy8Db/dEwrsDASrMpnzewJ9KjFtpmSbziqj3OZ5b63/+2Yk5/4t3b/POKF2O7+zGCBuuDPeHzJoYvwMu1ZA3jm97aBP97TeuN+mTCW4oapjoIBFCP7kGigjfzzh5BOI5anAZWue31c7vxLfa/btDohejgt9dwXeJeyFFHz147icvG/elb+OG67CrElusr+JyQpPfayh/z89AnAMembJgyPvMj11aW6/IRUJVZ+LtXROTiQvnLacP/Xw+DY+1I9/ZOdKiP/nk7zsRHvnB8aKJArTDdbIcyv3a2MjpyP1EY8Q/RvDt2UummoQGPWJkrC3Obi7fuIO27BwhIqIN24fpZ7f058zcRGAyvKE/mrts0pQDV9ioy5amGtvUmNShy/38WZfdicnkLd4uPcc0tOGppGqsAm23L98UwyzLkug7c6pxdJW+CZpks+5fSwsf2dr3egO5WrnavGNibuLO7Zh+Z86SzJlRq4Tr8Q9pMwaSYTNRSnEva6nbWvj27CXujumarUO0IPPpzH7Ady5UaIE+ePw0fuu7lHkDJooXeX3hn3AL5OhfXkfKnzfiNer266ENg3TjkvXimWcMxmdhPBnF3sV2XYIkBEZa7Qm9fNBzVKFoltDn0bF0dEANA8xfZz5zeO/WP4LUcTJwJ0q23S471p2CblTLBGLphkG6/aFN4lk1H0rhbO/13p3J+PrGzpEWnXfD0tr568iEqdhcaIz4DLYNjTLvXUmbBkemmCIfX5x5X/x7cHjMnEVrMP2wZeconXbpQvW04gJ3PbyFPvqruyafqJpwhaFTrpcw1VN+cw+t2LSjJ7rGixyD5sJHe4U5j5ju6GknXqVz3tJPWuAcYjTldqq8vgwOj7lnRPuFMI+HRls0MpYUWD5Wn7vkXjqXKQlnXIbHcTJm0OcuuZcuvuPhbDo692vz1Hs2kci92zMuu0+G1qt+oG9pa9oH+Hn5CcJ41hK+vbmgL868j1281bJnUiewM3WjYbixpWnSZ5l1/fFv9rzfvCiA83a027dtaLTaWaxxiWi4h6TVzvMwPdfq9us381fRf6rPrdVy4iJDmIfTh3zOpJnMzxp2+xyfjtSQcjrl0Ya268zusRN1IinMTjL7e6xHh6HZiRdpk6+bbN4xQgX5PDPnZPAu1s1F5HjPxoPVW4foVPb50RwNNs2LEuwHZb2hMeIzOOKzV9INizcQEdHS9YN0xOeunGKK6uO/frmAvjsHf/e6wfSBJwOm8+eaiLp4rZ0075Ka6WoO57zqLzz1Crp9+SaT/7GAiTUAwh82LRpbTqixJ0RP+Oq19MvbVuwyjXXxbz++jc688v4OXRXtejeRaHrM7ZyiLhUqW65udMRkOLTcW8TjbiMox4rlHImegT8RKCurMJuO5pGpo/NW/mfm/fSZ390D0yYCJXX7+kUnn+scytM32TuL3sV27bLMfh4OlQo73N69Ht0+K5bDQEE0mrl93dv1RWljIpxeG7uoBRmaPpF44alX0IqNOzqtgiMLwAGEQsu1rMGzsHt/UJ97+bSfrKtTXtxJ0JWEzFEi3M7hn7mC5i7Z0L3ScWJkrE1//tkr3YsnKx4ReFj3seLI6Vz9VIu9qrz31q3sZKMx4jMYa5fxMyKTsbPTKy66fSVdee8amPbg+kFav3363bLbQAIxgukWup1Dr98u9tjedLgopJZeAvIM9/DpmYlAN2GS2z3xDJaJv53eUew97YchZ4it3z5MO0YmLwppy44R2tIJHe9lFn/lykV04+IqLDYZnxM47s773pX1N9lrt6WI5//sZohpoN1hrTw+uG47ffSXC8ZDalfwHVCbaP++a+UW+mzYOVLrevXWnfEm7lB0ItWWboZHosEakV6ocYDYGR8fiT3BG6uWc64f1iXCpAv6ypWL6N5V8igLv2ulF1Tl8juXGmVJ9A/fnYudDbFfpTEGPadLb+6Y8WO4E+HUc7i/w097jSLw9LE67w/J1vBorO6dBJndbE+Gt0uaUDkY1mfB/9Z96PCID/1sPi3f2L+IyqkKfvTn3NTpsI0R72DqTYs8fjpvOV129yMwrbrBcXLpmSjcuWLzuMuu3z5MK1k49q7UNRFAxtJ034EPwPOru7IzVSG5GwdHaPkGLEjk5XWex7g3ZWKyUEuZQF78Ip82VeA2/HjWQkHjU47HDUajN7f1vLrg5uV0qzpLOOGoYXT1rKBP8tRBxrgX5hvLxdDVBN9gqeTF0vWD9LNbJy+yI4BHogT6Fjy8mc67cSkR2VepjcIFKzdPqGLJd9nis7KkBSs3C7kmvkVOcqw9w3msR8N5V8ENbz1uMoqj86suTCNKfQu0h8+Tfv3qB+j+NcqIp/y8W7ttiFapT6MFDBSF/boC7lJMm7d0o3C6QOdVnVvGQhbI5/r/ojT7f3jzTlq7bQi2J9b1OEnxDPXxRh56u+cp6qzCojXb3CMx7nfiJ1nhD80NIGeUWusX3fEwLVs/2LUuVRymEcl5sSs6vateOHN8vA6diUJjxDuY9oZwhr6i8HclHk14/TdvGHfZb1yzmD76q7SLsit1TRbqnE2b7kCUT7XB+K1Zi+kd582Dafx8p/F2i3y27FSvs7p2rm9gqjppYudfDHvsZvTmzp1Rvt9TwftSc7JdrqhrigZYGKL3uaSJQK+jU8fBNR18j9DAj2nsWeYiLPGMSnr9N2+YWqeqMrra4EZzfoSA9/9vv3HDBB+JKWlAaY+bd4zS335Dyljv8rTcp/6IiFosZHwyXkE/d9laHc8Fdyi2QcBWrtrPXbKQPvyLO2Ea+k52XSduQXIs4T0RjiMeOWJSuYlDaPeDF86P94p4xp1/jrpn7pct542HKR7LJF2jJe4kKOj//O+1dPV9OLo2Q4Ghxc/fP8ivfcg5g+aQ1au6UBc/eWh5BHce7opO36vzRTq9FB+Oz8dNzrjRGPEM9nMA+C2/8NOX0+otQxNPkINut2lzyp9/yky3rp/c9BB94MI7+kTZxOHDv7jT3CY567619B/n3xb/zd/hSKtNW3fi282/OWsxffo3d08MoQ7+/ce3xe9p9qIc/OmnL6exCbwBtleMd7d9soVNQLfPDXse7V0NqZsIrN02RId9amZs/2VfuJoWr902rrp0FyZaEHk36iLFMoBfNJo14vtBYA/g7XGDisi//IY7G7rttvQD0hmVN3Z7/jykqLdnsnqH04Z77hKk1dpZmdATDvl5LA2rQEvBlEWp5KLw7Ak9E1/6OkjKV9Ggd+SJ/KgKfWxiouHNe35RminHfsN4cDGdMwHhDmaGFq7TDBT+vRBeXXqOyJ1g+S7h8ZOYZtuZDMfpwID9ZCE6mtGz/lFDl/Ec+P6dFfbf6JOYtc7EQ8eFrWsywMc/51Sq5Jxjp4T8wFBHf09neHrLRKMx4seBbcNjXW/PnErokFJ0NuZrVz0Q/162fpDuenjLZJC2S7hn1VZasm6QvnbVA5GZr9y8k666dy3Mr3cnOB5cN0h3r+r/J5e64Yp7V9MjHQcQYv45g3H78NiUfUZk8drt9Ns7V9Fv5j9MD67bTl+9apGrIPaqPE6G4cXPomEawgUs+Ty9fiZlIjE00qado2ldr946RBsH8zzJ3bmABs4uk0hE1RcYfq1uRfc94Ok3t+voYbxnTXcF9S5GSr9FMTk3ocv2S/dCN/QpNpaD/b8tO5nwmoO7nSEtTqy8MY8wkbzJCTbptF3QN2ctFl8/KNSvNmY40Hj0CyV1IT7k69DHjfIiI+T4OuLntSdDQnjzCn1PXY8/2mHl7MtcJulEDJWlf6t9blcTrk9Wp3Yuik/nmagP2Hwnz8TJCw5Nr7iAE/TZu2uhLKmjt+Qx3g2GOpdton+ncUwP0XuP/Xbqwnd+TBxzRndW6HnF03qhhR8l8hx9u4pe54JMzzseJhuNEe8gCshpECqIkJs3Fb3+rPrfqxb1m5wJx0DnjNn/XrWIRpi7O6dEe97uASVEt0zQd4094PNS+W3fqQrdvnrhGvrvi++ij/5qAc1ZtI6+etUD42ZaU+lYzS1jrif2eovqZB572LIjfTYmKjYgPBLBd7po9I/hLVs/SB/42Xzcrrc7CmyEOuPvnTXdVaDLQoWiDspA5wkVHd6UFNHAfyb6UsHQnqHJabZu2GFu3HeOtGhodOIvG+TznxtX/JeI7wDJX4SpCqcPNH3p8vtp0478521L8bfsSRiP7cNjff+OdzcHRKIp5LejHL8Fz2pKu9nWcJ5IeHM8ziuWB9GkDY+C1dsLR2q1Sxqo+X15Xrl/n4ulOUwJef9CBfciSFB/3JVul7RlZ390KeRYdHxxLA9OzOkttZywzjNvd7/OHR58LenXzkt7dyGM1wExXni8E0Wu9Gow5zaz+CWME4FaERtlCcLpp06zbYz4DnpVxqfcsHfa58LDg7jMZdcpmnBghTgPz9ut39/hn8WfkJlI+Mxr+r2RNvvurWewuLt5zm72VHkzhRJjpAb7c5IFpcbhn72CFqxEETO9U1FXAdhVJwX8pGDNnV0kwEOebOTEBPLll5x2FW11IrD0UOFTcwmcNwX+08vN0+OF2R3qQ51eaPUHfzafPnsJ/h5vr6hlbIEoBy8821PYpvRIvNrZReBOvdx7feM3b6Af3risr7Sh3WJXJrBn3i5bQK83wu8qPIODh53XOUIgd+LlANRZz+2ypBld9DuOWgYSi8RBBqYx8L2dXdBgmKJX3LuGjvzCVQ5F4wdymKJhkjKkOz91HQKOTpPC6X3niQac/53OeU5DWNcU6YvCAaFo9iI8eqkbletnL2H0Uo2NkHZp18tUyovGiO/AM6gwJv9tvf4b19fLWDOkNJflDVN4AdyPb3qIfu7cBswFUbfx8Hbi+wV+scatyzamTwDVQK8761MZshOFphOCHfM6SvF4u7B26xD96w9vGWfp+vQaoU/8DFve2l2xcQe99/zbx01fXYQdzUSz5UPrtg2bz2L1Mne4QbCrc877zI/r7QYQSZl5yB2YO0da9A/fnVub1jrw+E4vipQc447Sn2mvHyjJl2duKKqXVoO+rUOjNDiM7ybpFf5tz/LfHG3Af+rs5k3kZ/+qdyLrX7dtmE4+7xYxr8eAEa93qgoiMzKhjk07RmjnSKu+/pABL4++gV5KRtr5KUUap9G72K7OJ+Z+e+cqOvu6B2vRznHbQxvpK1eqSMSohNvWhBPFJHNDuEpE70tf9uXNqjYwjMYPNu4FjtxCRpPHB5DeEjaEhsdaNNSnz656/LDO5ySxAzn/zL8QL0+f70SpUm9csp5Ov2yhoKvNxjrUNUNtxfNjGr3qXP3GJy6+i+7uHLv175DIr901W4fo3T+6tWtb7hGCPq0Nfy6ANMbTpnwTl2G3NuLvX72NNndC1fCUzL+pqXiJd8JdOAsUUrpzpEV3qfI5Zjd/Cj/FdtW9a+LFbx7aZdl1PLrdVJ1LWrt1SHwSY97SjfHvzTtG6P7V6QIx/omLux/eQj+5+aEulPvte57Lqdqdl2f7Ai0VNmwfpgfXbRf58U3EsryovwYNa7cN01ULu88LF5mGuDfZu6fAG/6Vm3bSpXfhTz72E77CUP1uHBwxn8XS5QovkfLhbL0CKlLjrDTtiKUKvKqGx1pi7fYFZcWHBQ01HB51nVg6PfR59ZYh9zM9dZCmsdaMutBU17EyjvK9ItS1ZceoucixtmJpJqWjqE+gnOfKe8CGwWG6+r6KzyXHitMvZDDGHcLq3yE8+86VW6gsy3GvCS5vS7K0h91b/rzOTiafj2G84yfmKP8Orn9gHV2yoHeee8+qrfTt2YthWhi7xWu3J90Qyiy5q40cEPLTpZ3fnqntjvHuJPvletObJsOI5Bc26/GUn/rLw6XT6Vdd3hKg9bgFK7fQT29eDstxozBGOjKnV079EH12+jXaatNtffic6QU3L4+6LzdoNVpi7crFu3brMF15r7yB39tt95y2EwF0/CrREvLknbtTsdG2Wxvxf//tG+kXt64kIvzS0vybRm4XhhxjQaF11z6wjl6nPPFT/XkshOr21Xx6CmnpTrt7g7+T9s1Z8tN0fDfvp/NWmN29kgntXqQ0/iSSE0411a8LGPPn3rCM/j/1ZQOfzqlyROTfTbeLVFI+VHGof1eoq4864V72zF1peEU3QRnTJnTSIUHJFHpDS/r1do5T+f6/FD1W3Voo1S9Rej/GYedMojOvuJ8++PP5NakEdJT474q2Ev6d8qNeyLRu87/fb+IXt62gd5wrI3OQA84hPT7k44HOq04m0HElz7HIIwxy66Vdph2+0VbZn+iU0iroyFA1w8+NXUfO689vIbRLe4a4DuAOr0r/1x/eQhfesiLSUP366yRgrMXzJVqr3+4Tqvr8JM43Xuc+OkuMLuBLdebbnqgl0dPlZzUM5360y9dQL+X1o0L8LQ11kQ/wn1y/Sl4X5M3V75J12+nvvn1jvgPjAJRnql3kpNSfpcwh3+f+zT7vno5u+XPh9FOB3dqIHxgohMe3F0y1We+1j0Lrgsf+XefdEsPVp9woBKhuEZeE3bd6K/3F569SoWDp7/H2I1dstF3CG/2JsIAN/9QLO3waxn66UJarmzaZTpc8zVKSj7XL7Gf8YLlxYle73k1QZ4VGF293oX4nHJ6h0oGm5bgz59Cy9TtMuZwhLAy+nglUbUAF0RpP420bHX+YSCDjriT7jAiHxI73E24zBoqePi1l6+lStg9eqMlgT6GJVrukreoCLbx7Usb8VR6eX9aJnoXy/99P76Bz1edNJwJ8TXphtN4FcGHe8duix2PseuCOzwB0dl9/Q1rWQSJNvofuk6ldlib8uC668bytQ2OxP154MKJSXrAoQ2/rrJEqgrB7Pl1nKPKxXy2gb85abOjTSxxdBBnTOgT8aO6yeExMH40QNOwi5134yFZ69deuU3XKX6I0/vJrB5YaDe/sOGrH5smn+oZfylMoaxeF04c8KzftrD4hS76hPl7Hxa7C26lOfMDmQWf+e7l0l/PFiUF3e7B6JxjNmfhJRrU5lxcy+n3MXbIhhnoXRUFfnHkfrdq8ky5ZsGqCKe0dmvZwm/vdD2+hRzZXnziblkY8Waa4ftsIrd0mb4b2doDqKABFQe4A5BgLinIQwrAHYdarVz2k3L96G118x8ra7fQFpZxTgc6BwtLcq3OiXvN9mKy5cHriynPvc2IyoSkoCpuo18TS9YPuJzFdgTUBXR7vjo7cnZDhrBwTGgIN/p0NU+f5WNJ4yCtL2qWOecqPt0tPZI2tK+5ZHcMzowNz3JT1Bi9s1lOmvYvt6jhH7lu9lR7aYB1hu4IQRvvDG5fRqs07O88SzA403PHLP4vRRe0yKs/9cgSXQJONO7sgfxssAByJ1qk//vrvbVxnx8HFhzoCqFIPaij0kZflPzFXsPpHWu14yWCuXjeCsEZ3F6/dTks6R9w4r9X11ok6W7FxBy1cLT/F60a8jBNbdo7Sfav94zH8nyGKw3MEQ77Wo24S54VTrk50XEnJkRYdESDsPKRtGx6Nn5CtY6hP5KfYOEoiOuOy+9zjkehiu16cDfK9qTlA+fVx+T2r6Y7lm7o3QETfmbMkvtJ5SzfSrPvkUU1PDlb3gagoJBgJMTn64u5txJNkwiZdHYb90dxldM4Ny2LZb89eQrc9tIned8EdE04rQm6K1J060zGcHjEeeJFKDWbsXkriMDjPvi/IKgDehUoeev2MS0i7auEaOu2ShT22Nn4gpskVlTrfI64hQ12MZxNyA/gkGAQzCuvMK4SJ/DTYjpGxaITXC/e3tJhvC6vdIg50+dF40evxkLqt1RntiXC6IMWynzfwlmV170Yb7BzvKvQ53la7jOd+tfGEaA1pZ12zmC66PTkR12wdypatnvf/PfA5ynecTduOspmUMpCm10Qf3RQ8mqmggj7923vojuWbBZ28dWHYm93UUKdtR+/ME9nd8vXbh2lsHJ+fC8r0xsERd7c95u/R8BM2v/FlVIntkmjGOPguKmGjaNIzcTt9hpayZNER0YlidYVtQ6P06d/e49NX9CYnS/VH7h4SvRut5Ta8+yY3EXM0jBPwneh/l3ato4gQV4ajZ46+yHfSc3Uh/YffZJ5oDxEyNoom1y6VZVa+8B18by157YwHlQGcXxPyEtHu69PbQHXvKFL43ysX0a/veLhre0SVIyK0e+Ety+nbs5coWvJzQW9oyXL+s4nA7m3Es9lQR6C02pZhTNUthV3PINagazoa8XV31uqeXR6no95N0wqeF5bmnZfylc681OhVyI8XJROUGlxRifnjbw3hhNLccr33+MWnyU/deFMhCY1688qUn0A+8OXLF9Gnf+MrfkRpbL0QdlhuvITVgDcuvTrZ+K5GfDZOp8t4oY2mYMyIdhEtyEmsyoV/veS0q+jKhfLyn4mYXzPvXk0vO/3q2vnRrmO7LOnIL9SvY1dRdzfK8ot8QciHa7TXT3iXvHkyUYZ640nCndK6ryd+9Vq6fvH68RFNRC/63JUxKsN3SiM6pfGPHIvcUNF1tsuy9hlbS5ekVeoMYS8e0YLXOi/f6pyJD44AziOEcyJDG9IxEi3d+8IJEsaWahPJ8FRclmNVuujnerHvyOrf0OkF1oS/nksnrYI3t/3Lk8v4G2jXhrevE6US6HN53TajutU/boh5LKMI3LPj9WZRNv9EzK+BohCOujp05evsJXd/sHsb8eQbBwVVQi7kKAruzQx5qgdnXnE/XXHP6okidVx46/duMruRvLfCy5UZhrOve5B+fkv+k28TgTr6qhcCWdfg83LlqiiKwngH3e8Te3TCZ92VzYKKSQnVEU1ob2vH+8zvCCjLznqBikb4zSvMLi3q3+867xZauam38NZcOyVzrRonDP8b0B4cgf0+c8qxYXCYVm3phNsCpTjSR0koaYRp+MiWnfQv58zr2YEZ8Jnf3UM39KD0+3MBpXmGWEL2jGNpFbd+wnzjvosiVU9Rk0rLWLtMnxKsoWDWAdqJG221aWi0HXdTqrWL51UlB60xI+8mmSy1JRImECOinB1F5ACq48zu74VKoU4yoeVoV6+FOkayHIJ0sOL6128foeGxcezEs3k/2jFa0ZGFtugsHn9Bs9Kvqrkp+83Ddb3vaudQZ71yGrzwcfSt9VZNHjbuGWWiAXSy5e3esQtIGzfSzNGl3uoaL/D8CHynlM8yfN/emVL9+6fzltN56o4LqI/VMtQBncB5kJ3HwDmB6u7VyTAR0YF1jpi02ZzTjgtYp2mDrVHTUAmdBUQVn5yR8eqF9/3vP74tfk0p2XCYBtOyow+j8ZisTdLd24gv7CdAZDrRfau3wTT9ebaLbn9YfEPxpgc3TATJtRDonfvgBtowOKLS0tmcdgyJzi+xqxeupet2wVNfB3XHir8HISiJ6K6VW2jToPxcoL+G8n1GYXABA4VdnDyc3jCWzr83DY7E+eFdWIQ8yzEt8/dEocz+gwlH5tQoqazWS906w7M6SrTKc819a2lV526HOuhmqPo3xtpdFAs5n25+cMMuXURGVH0T/tZlG6kgHaImkYSR9IiLPB3i124dpjmL1klj2XljOu2i2x+mBTU/dVm3ztrlAK/23+sErBKlFAcDWNLX4auZKqwyF56nOtBFbP1SyZjPkdVdiDOpa7YOpU9pllIOciVrPIrKtYvWjYdsAbR76O6o87KqKL6QbReI64Iknzyjt6w1xmgHSedGoeGCnl3sazKqLU/x5Jk54oNo6vxx18ottHHQ+xww0XUP1J9XVmlnRiHlw+lzFeUuQOU6ZraOXtGlkpyjJPc1AfRv9A35XDmPpOseWFeLD8NLQKniFei4hhdmjfibruO6B9bRNfevE896d7iUHVqccnEOJXpgFI3qPne4aseW146oI1P3riA0g869k04j3merQ5VEdOOS9fA4T8wPaMhFKFVGPKb7+gfW09X3raWZ96yOeiO34fT8GO867edRxLrYzY14/9Mf2d0eYoyi8++xdpv26MygVrukt3zvpn6Tm6XBPKd8aB1adB680K5+gY9V3ZbS+Fed+btv30i/vbO6YLBOiKGHXo8qaIcOR/jczMV3PExv/k71aR/O2DV84cmZjk9jP5CMEb6jE9Kok5bWh2cI7+qOYj/6m/V2s797tbtzdf7j924a1w4Xx4PrBunvvzO32m3SCqXiP0T1d5hMftcQlv+eMVD0JJx6DeN3FRX2d50QT+8egPHCKv+JmjrHSKRSLenyePNEnCvX3ySu2qnw/WsfpPdecLvIL5SzkN/hfRxcSX/7OfPGTfN4nTbYwHeMM5U2IWfiyfIPpES20eQJafGCL3B2linQ8ZvxcIx6n1sokgcdrUdKf0pDOhdeS2/+7o30m/kPyzqUHPznH9SbV1Ukm6Kz1Hlwmg0PRmXyuiR37PZ7n9SLzsL5nbriPGQ7n8564fk5/vkH8+IXoDzkzvFzXsH5DuJFqdz4ZA5Oy1t1rmNM1crHMRnxTsOsjdzOM9fzJ8dc5LQEGtCdBEyeeXYIEb3t+zebC0NLlc+UA9EY4d8DuZBI9jh80YLbEHr8PIew/UdG552klzKhRvy1115Lr3vd6+jggw+moijo17/+tUgvy5JOOeUUeupTn0r77rsvHX/88fTAAw+IPBs3bqSTTjqJDjjgADrwwAPp5JNPpu3bt/eFPm6A1GFo6mlVB2I+u0pYByefdwv9+KaHYFo3pSKnVHEDcLIWfq/waA8wtANvWpWvu2KN0zKqHWBMJVNedClPgPke7TwTQTv+E4GS5KfmkJeRzyfXY+yNtUdDFJQorXq4aXBE0PmqM2fH3b6xVpue+bFLaztmeg2b0+U5+uaJ5dEfYO3W/RxTDr4hLFMHCv8oi6nbUX48wee9Lq/vIk317MSvXhejYcYLxDvNTrxDA6qr7uU9u7qjoh0ffL1qh4LHayuDMShSMt9fnnENzVu6UeXfNbpFXYBDxtB+ZETqHRZOr1Ki0Q7mZB0RiOH0gl47xgHIgDC7eex5CqefuP7U/cScNmI8ozCg+ia8NPC5/tYLer2no1eZIOdYCdMKcPTOQ93QdyLldEe0gLVg6mTlvbsZ6mC8F6vBCAjFp4h8x0rumTSO8wVzzglJZzZJ8J24K602O0qyOqWgMzf+ZT29pZ8OSG+HPJLFppl7Zr+OzqVa4v+yx1plX3OfSd5jhjLiVcTGMz92add1bem0fz8mjPjBwUE6/PDD6Zvf/CZM/5//+R/6+te/Tt/5znfo5ptvpsc97nF0wgkn0NBQCpM96aST6J577qErr7ySLrnkErr22mvp3/7t3/pCnzBowYijy0isMmBnqa7q4jtW0sOdT8j0gvvXbKPVW3ovxwmw1HEGX0/5H++3WHcFX7lyEW3Zmf8sllZGKoEu0Y2BZD8jV5PGAL4TrYeUCzDdXq+hjZzpTAZ/kM4Q+czdnXCZXU1O2AEK1dQYUVtAS9YN0vrOXRB1GCo/u4WEfSIP8IgomC36ZcTX9RQHoJScovHFmffRjpFWT3WNB9cuWkfX3Lcm1vnZ393bcx3iVu8a4XY68f4122ir86m9OtDjjoxK/m/vG78yZ//xmd/ZyxDPuOw+2tl5365hS74BHJCceVU/H968M4Y9TwSQ4qVpQfCMXXSZnGmX5N0HaGwRbl++iW5cIo+jcZtBK+iITmR469uvdSoH75LnEGi1S/rcJfXXpdklC+0CBxCyk0rN25GeRSka0IZLW3k7Xog5Hp1bev7btV7nOANHS/e5JsR7c+avpsEY+Mx5UPciWbNpUWPOceTW5Rdn3hfv/sA0qKozfEq33k3WE1VzXau13jjCumrk4qTr+xuEc0NtgIj5D+wQ0w5Iy/GyH81dVksODo226Ltzlsg6O79txwPn6WxQ5pg8pcmPMN7P6uloDtQOaraOw7AsrbNxojGhRvyrX/1qOu200+iNb3yjSSvLkr761a/Sf//3f9PrX/96+rM/+zP60Y9+RKtWrYo79gsXLqSZM2fS2WefTUceeSQdffTRdNZZZ9GFF15Iq1aN79vsa7clBwFXjuFwK2aOworrTJoP/uxOunPF5l5J7QpvivTrHEzl3Zo8hAX89asf6OniMumQkb8wv1vX+HocFL0tO0ejcBpzvr+GhVt3waqFKp/T48XIWDt+bkpDe5ArWuRvlZ5Haf5gaXl54O5Weu2mUGGWL/NepTINBIOipS7qfHrPQ6CJXx4Y4HmKe7nE6Nuzl7if4rPFxrc2LrxlOZ3b+TwnEdE5NyztWRlEVPhCvi51Pvh6tgoHGBEx51K++EylwZ14pbiNx1jh4x3e/3fmLKEtO/NGdjqfD5zTwNjFc7y/ysv67cPYkDUOld4oyRk63coRybH18KMbl9HXr5bRhWJ3Tr1nfr9IQJ3br1H9yNEV6hoabdGWHVKRH2216QfXL43/3rxjhEZqHAkyl+YBi7bu/S/J/5YM6HDsUZ+r7YUTSb3PoqQy5tHp6Iyvjpzotisa6hzvrnS9e2NUY2QNCeGwNgY+qIuXzdSZyx+Q6/K3Zy+JGzW5d1KVL+O/zYWaaF459Im5po4TYZnqpZGkBYAbtEEnMZEorrHLz8R7/C5PhGblp/zmHnqkxn1CW3eO0umX3efWVa0J+VD4JjyHqeOcyEV1ejfy1z1mWk8m9DbHpdOlwgQGPQlM2Zn4pUuX0urVq+n444+Pz57whCfQkUceSXPnVmeH586dSwceeCC95CUviXmOP/54GhgYoJtvvjlb9/DwMG3dulX8F/AXn0+fwykKiqMPJ1Ln11vAHvPhGO+uXK6YHxJm/85dHDIdUcfzqD8nJB0yllEg9OLZRBdZ6bxBoX/r926i73Q8mPGCKkAL3tlyaOr8FirsgM/p8eL8mx+i13ztOtVenhj/3gFH6XRocN+HVxK8Yi34oIIP1r5PQ29p+PxpfSRlnM2L2NcypqUn+b5688o9s2iSxten6lxuUmjqwAjwOplEUn843D//4OZoiKHdac8BFIA+IabTEPrVh5LIFRpwd0LRgBwK6YsZ/Fm+/vHgJaddFT+D5o1Gu21pJ0Vz3bWB8o9nOUO+X8NRS+Qbftbo51EfsjxHqOt71z5Ib/7ujSK/xt+cdT39aO6yLK25u2EEnWrucLrqXJ7GDbkZ0SnR+4uoIyP/4vNXK4eCMhjZMzSv6lyAmo6r9LYiepWbOeOz4gM16ozvrTT8rVen1/gdF/ZXO0rq6lXphVU//K6nkL1OWLx81pmbNY5Mos0EGU7fSYu0WD6Q00lz9O3y8StQgeeUDkBn4vVal+Q6crNtc+o6OR1Z3gB1bUan6pfHk3qtf6IxZUb86tXV59ie8pSniOdPecpTYtrq1avpyU9+skjfY4896IlPfGLMg3D66afTE57whPjfIYccAvOJydcZ7zmL1tEpv7m7SndWgQ4jFFX1OgEy6HURrt8+TH/37RtD6TwtPdI0EZ+qyAGRBL9jypkxyd3KOjKj1y4Jz6hOE/UWtHO0RTs7O3dcgNUJO6/rWOg3e9gx0qIhtevizR3vxt5Q7pe3raSzovGTrzPU4nr4HVrQ/EA78URE7//pHbRg5WZJU6YOS0tvo94vJj5QsE8KuuMY0uBbcf7l1AVy9rJ2pLCXRkavOzpCsc/tTnRRbMaDHSOteElhqpMrWbhfWVpUZAXazTbnm/vAgutELwjntJpr/BJYuL6M0l3qpHFjJI6/o/DVUCyrNL0DN7HKVp135xkStc7El/k5Ix0sVf6RsTYNDstjFZpfbR8ecy/n1MPWFpNH0u6vdStL5HIpoKI9XsB7jJSRJWgBlofZiSceRSDr4hivYxetM/3PknzHSjh+4F1AG8uNM4oMVRkMsftWb6X/++NbRZq3NNC8rOMAGq9TFF/I2x05Hei4L882ziiOlng3si7dh3/87lxavdXunqO7SWJajc0wD/Belk6d3jwW46jWbJ0jpB650pHjZOxSh27XkxfjqVv/PZF4TN5O//GPf5y2bNkS/1uxovt3zsMiu3fVVvrNfBmqj4yn3Au68t418HmYFK12Gc+G9hubBkfotoc2uXn0zt2czgVg/sKZpNnYA4wXruCfC9x1ev3QJZXXMWj57cEmDTK0ZJrmaOK7mv1CdUbMi1qQ7fkhUxVuXbaRrrpvrUrzmL99VudSIShslPAIWX535ypaun5Q1l3mQ7S8M89VvY6jbxfjqQRNTsia5kme0i/rrxPx0p1OjVn3r6XRzj0F+kI+1N79q7fR8s4NtbWUprKegtK/OwmAomG75QIpnWjXRWOsXdLVC9f0VSEo1S8RDgXWTaJdYkR7eDY40qJblm006f2Cbtm7Ab3XOY4Mt6IguureNT3Jl5yj9sp71wijCx2XQWma3/R6rwr65HzufH1Z5r/Djp4KnpRZL7xtqEs5u74DqpyHlZt20L2rtsI0uCng0IlknTYEpMOuI6f537vogOhmfF5575oOX6SOQ0c6Fjmysg7JFLJ1oTrr8OHlG3bQ5ffU1311ZBlvAs0ZcvIhw02/c69fMA0RHUgqiB5cP4id4J3fNqAJOoeKgm5eupE2bM8fg4LzI+PozuavgTB30idQS5CW2kiOY/kuUeTWtqFRmrtkQycdy3e+iQblZg/dwu80Ly/qfoq3TmRePzFlRvxBBx1ERERr1shFvWbNmph20EEH0dq10ggYGxujjRs3xjwIe++9Nx1wwAHiv25ABkHyrJYmDe22EBG9+0e3ugxt685Retd5t+YzaLq8tExDSInJ5fuXc+a53lDjoZqEgx7uUYGMocKLIOXUqwu1n91l8NBhMLxJ4W3l9bXxm/Fa8XaadhWVwmafaaQsQDhpw1mErPnzENcIG86W5wjKpxsxwKt3lKw6Clg3eTLekEJLTPWTwpjrRQIh1Hs3vdP9znNvoVWbd5o5notE+fhFC+jr18hzw3Dd9iiz8fzdtZVjLrYr7YVbu6hbCGzZMUon/7CSF71QbsIQS58X8ny6Ma1E85px+H2FBSs205u/M7cyBGpRXYO+QF7BORFWfDm8nTv0dnLv619/dCuNtuq/zcoIss8rPcF+AxqtN7TrFZ54ThSEwIe4gZlkqp3b0XDWaaDuOlESyNity5t1GDKnXeN71z5IH/r5fEwf3ImXSrist+b4O8Zkjt66+pRntBJV86ldlp0oAnzuvZfdxhTVyCIPwTtMSc6cqzMvIA36F3xGEcFJi04ssvzD4w11L2kL0EYob6/OkQDoWHQ2lnoV0zXVWScNTSylc5XAAcT7rHjLvKUb6a3fv6kn+4Wj7hcf+NwObWh5wek1DkVXmHXnTf3GlBnxz3rWs+iggw6iq69OZ5W2bt1KN998Mx111FFERHTUUUfR5s2b6bbbbot5rrnmGmq323TkkUf2lR65IDqCzmEY7gRHTD8s5h60GU/hhCFhrP06zG48O1XP/sTvey4zXvjk5QVJnW65Y9vFMMot+CpNlkMMjagaR38XBaUlgdLvIw7i3HWkoDR5kvISicrSSdT9e7xVO7qcTfOA1ludXRvpPOg+nvDSO63hgPqvuW8NvfX7N3Wtvxd43zFFN1z3uJTqJLlol9UcrxPaPyDOy9tsyIBAO8cTCXMuvPO82zrUOxGpvoTxftbQgx/uaGlK/QJGluo0V6bdXewJgCeLkTMQPbM82qkTyJRe5hw0yh3Dje/OoTPZut422/VKadUvmpptlqirLVUIdVlyZ2iW5NgeOjrWy03VOQM/dGNAGQQetLzt2gfwLJRugTFOO6a47Rz03Dn8s1fQXSu35AvUqLNkvzFqSMklvL5tHYnOlEffL9MrPNrTbf02Tc+dqlvaUCyFQ0rTqeWf+FqQadPTx/KoMy5yc7DTB3TUUq0Jj5aKR1TYlc8gZsvBjZqqxTrvrUovxbMW+gxo53ePGckczdkvpUiTiZ4kdi87LM1yifR+/KK76Isz73dqtnVpZ8ZEY0KN+O3bt9P8+fNp/vz5RFRdZjd//nxavnw5FUVBH/jAB+i0006j3/72t3TXXXfR29/+djr44IPpDW94AxERHXbYYXTiiSfSu9/9bpo3bx7dcMMN9L73vY/e8pa30MEHH9xXWvkFPUa41SgvhbxXv6/0feLiu2q0ptuWC6Vqx9JF6lndzcHJmYqdtoRg6a7sxDLce96Hftk5kJiWfoNaUZRKZBBA/DNmnmLTGzPuF5B65Dku0FyL5dhfA4oZ9zLm3eDvnneETdu+t+QdTusmp6h4ig5RPcGxftuI+Xb2rgKva8sHvPz6PN1DGwbNJ2XGO+fqKLl167YGVf6GZf5PT4iu3z5MZ17RXTgT6Qgs3C5PxXyA1acq9t6Nd1mhB+9TeAghtc2I17so8pZutSvKxygUUIvja1c9QGNIi6uBoiD6n5n3ERoJTR9vOr2v/JrwjzVZ9Lom9BlkeCmonuPEDGFHUCNl2lNYhZ4TXl3GIcb5IrpESgOF07uyMfbVjodQsDtERFnCppB3DCq38wyDfNT4o3IwP1sTvG2N3GVc24bGaFuNz33V2pFk7ws6gArxU3uTpKcInh7T3Evh9G+J56qO1EhHGBEtpSgTGvifmff5GwyQvjztOuyct+19ujCgbuSeu1lXo4rtw2P0+UvTZyW/fvUDtHrLULZ8cmwxPpWhBTvSrO6reZN7l0pZz7lpn4PNtxqesaXrB+Nnvus40oj4HM3n7ycm1Ii/9dZb6YgjjqAjjjiCiIg+9KEP0RFHHEGnnHIKERH913/9F73//e+nf/u3f6OXvvSltH37dpo5cybts88+sY7zzz+fDj30UHrVq15Fr3nNa+joo4+m733ve32nVQg0rRgCz1L8N6irl9DZdduG4/lRIqILbl4O6ULQCiVSjs1uqqi7O5193vAlIqLB4TH3G/Dema3cWWf+2tplSY90Fp7XRq7/KM1/D4kpa6VM6KydnezcpWt125sIDAyAXXP+t2KwmD7NJCkZKqoek083qPIj55enjAwoI0NGp6Q+BIHlGYX1lB5Ee2/5iYhWbNxRK8RSrHHDr3pvl4howcot5pMy3Yy/KPAVEg1WUfdQUmnq1HyuG311zvovWz9IZ12zuBZNvK46RxAqGuSvFzbqfZJK1lmfGeuLqQRvMvViWrLOuZLvAPE25Njo9v73qkXm8sxe8K3ZS9x0HR0knC/ASPMit8xxLVaX/mzoxsGR7PeuGQs0znPBX0k+FBcfQkNR/5Gf93ze+FEAVrdJjr46PAnw9pjG6FFKOBwPZECA6euRlYuK64YgsfxITPtOxvs9b0826nLeIbyyQwMaRzTXvdHIvZOHNgy6G0N1ebQtl9cLXCcKqpP9bZxCmfzfmr3EHQ/XSHYKuo4j9qs3EepEJfbjyyXrtg3T969bGv/9lSsX0X2r8V0SRJaXVc+qh15UAHqXelOL/ySdqz6/Eht5oH3j2FW/8ln111i7pBkD9c1kyNM7WLx2W+16esGEGvHHHnsshTMF/L/zzjuPiKqX/9nPfpZWr15NQ0NDdNVVV9Fzn/tcUccTn/hEuuCCC2jbtm20ZcsWOuecc2j//ffvO61I8dALHykFBNKQoMzt9L3if64xF+mhOk0aOJ0sF5Z85nmfPYSbYfuJ0y5dSO89/3aY1lWQZzza/GK7dlnSUadfg+t3mGpqA5VzCvC6C1me7wTr+vG5J/nLMdHhOehMJEcB8kLZxt5DfpcelPOEvWOs1TkDSmQF+rINg/Sy068WziEEvSsK6evTq3nF/8yiFZt2dM2Xvo6RniElPqv8CWWu+scMfSkCde/Xy073P93kKq3sl/Ozl51+tTzz7DlOIY/IJhnjug668VrPiRqgj9XklOnc55J6nV86nJ4rirV3FtVAhnXC01CEmbnZurT5xwvPgIDHSIDy7vGkuNNUk6cQEf3dt28U31fPVR7+bDMLSTt50L0nLfQwt67JjhH6EkL1HuW70/Ko+goBrhMB+gccDy0y4MwdAahcoNtZw4in+32QcjqsU06feNYphY4BpXPXFm2w8Ous8Tqrpuyss9xdBnbHtLs8486/siQ65kuz3Xfi1gXSwjrzdlV5eXtMA/HMwMNSpfreDH400HVA1Bh4Xwey+Qy/Qn3o3iwRdTGcHSclukfE5snDK4cuz4yReciHC3hZ7hggnwPAhs+ipDJ75xPnFfq9tdolhSj/Xj8NqunLyohdxGPydvoc6oRPoEc9K1A1vhsZMDTadkMMXW+bEoK9XnJTR6HizK5fGB5rxU8GeUA7A7k0IhzCpFH3XVrmwQSDowUW6g95eYlW/nsbWeQI0HVdOG85ffWqRT3VSxTOJctnSABBWswdAVzpSfQddfrVeJ0BRSjXLodm9Jfd9Uj8nneAF24KFRWnvV75wHjXTbx8ypFK8EIxoLzEPI4iFdKADQ8MgjxNKmfX9jhygvmTF99Fd3Y+Cbhxxwi9+mvXyXnlUODztx6seIY6t+yG5zlnSgp5lXUK6rr07+VdnCfQkZzJi/ogjiww3lcoetE8RA6mSJe6FO7U395DM+9+JENZApq/yangTG5Ap6nTkZuIR+iL7XaOtEQ0Xb4PVTl4UR1QZGMa+Ie+UV4akd1lPnfO55w7ZZlXSBF9yKHj6VDeZYPQ+ASh9jm0SzKGUeKrvrMyd5aej4c+LoQivQSUs4a3UOfITJ2LTIPxXpJ1DtWRrfLYUAmf5+oaL9w7E9RvhxpIQ5n5O3f/RTX/1XyHchNTgZ9YlGyRaR4GnVedR4h/e9GhngOi23lwDS+SLUQ4omOKmg8guJePBhYq+qX7XGbTVFHVru0XPNYU62YOf7TmMu24l272cd1w7FZGvGvcZf7OP8kLoF5vos7lFoweMZyCaNZ9a+P3XlPe9Ld3y6UrmPvJqS0Brg7tnXlxzwB1gG7C7QX4SEX6zdnwQXjyouhiO+/MjMdchUKkiAhz7vblm2p/xuWSBTICxAprq0gF+AoYbu+RTOi1V86RoYmWTt/vWLGZfjP/4U45S5+eO2Hnue4scd8JzB+UM5mqxz1bZ405jsr5l1AlLdKGhCJhVX8N3bNqCy1Zt13S6Sgj5uI0sn0+/+bl9OC66pOA24bGaOEjWzuUFnTdA+uMM7CbYhOAHBYamwZH6PoH1sP64VlY8L7RN5ntWupOi16bq7quparS0AfpUAP5gWPL1lkpcSWxT48lHZXRmh/csU5n128fprlLNtCV966hux7e4vaFNZPaUL9EubBzxQdq8ivPsajlu+7uVewzs3I3UNKJgIxJHj3m3dmhlWldD1FyIBSFNSjrOM2Hx1p0xT2rIe2ecwJelBYNYTvWJf8jTjVbfy8RNXVCm71y8lmnHJfvTl3aYSf5htN4jTyc7+vISWkoyu/Eu/tD4gXIv3qR+V2aifLB14UsU9JrvZvDKc5DJI8cfbhOnz1+Cp02NXSnuhty3qcEPfo4pabOmJJPkze7h3asPCeV31vrXh8QtfbIU54ZyPWpZJ2Y44lO/XnNOnO8pLxTdKKwWxnxOWVprNUWXul653/zcG8G7q2qWAB6zIjonefdEneqpEAPhnBe4UC3SKZ/UzZtV8Hkco2cmA5tnPG0OuPvLXjoqe9CaZhDWkCib8zm3k1VrBS/Iq3Ge0Ah0Tm874I73HRJeyHGBa8lyailZz/8oj7L33zNEnW6ir5nCtdSbhdFCJu8ktqLYtNt3L3IGp1HPqTu5dgf9jhCvn8BntJ86m/voW/OkufMPSWoG5Jyigv/8w/m0frtwzVqsKhzvnz2orX0Tz+4GRpiCHq98Ly9KsDGWdD5d92L4cK8n7NoXdWHsjTvO8k8eRSJ90HTUvFarsx1p6XawZc7OFfcs4ZOOvum2kaYF9adlLGEgorK4YDSdL/AW4Vhnx1023X/1x+lT8i22/Zb692UR0ML64PejebKdKrfk5v8/cpf8y4Bj1ixcQf9249vM22idvkzl+8LvUU+KzPPSD2zsOGzKMxX1xMiUODaBWOMjnAQoFPXJemyMipXsFuUldYxPNnqXxyceIR2QHiA7Tjl2k6/UvlUN5qreh57envP5+tr8rdcOXGxncrn9R01yx3Cmgf1sivN6UL8W9/ZVJaliQ70nC6Id3rOCeOs6ciYsVbb9KGEekss5vKD7MV2nMlQ9hGVlJe/yPYC7HRCsJsZ8XgYn/PJy3B4qvrl8BY38vahHZlukN/CzbfveX68S7JiEhJqqu5+IiiDubT0t0033jSQpkM269bv3YrZ7Qz4cz55mSvABKPuEDpWRwPmddVI22vGwDgDhS16PYqBBFcuD3qG10b3MapDZ6UAYCOmW2v1djD7x6K9EEidRz6T/UKKKEfhJHqKTQ4FpTAU17nh0IQUGi03eQ5vCcFInnx2Wx7cgq2VEbHDQnZeId4cvuWc6HTWC/u7IKJDPzWT7l2Vv3gogO+4ang3jcPdbKHrSNr9b0DzPtv8vVzUlzb+pVIsHYty/EXtHp1AL6t7z0aXqqldliniR/FHrpDqunidol9qE1XMD4dPJdpTnanlDl+soys4gMp7+AX8JO3CIlmS56ulM7dTHpuhLo8OmwJ47YJ2dNuAh6Wb0xHfkL8IMronk4c5INBcyNHuOzVshl71YU8WBHhn4j2HQln69+7Y75SHhHx7CHVllYY4g6/1TSYvct9TR7j2gfX0pm/dKPK5dwo4dHnHUkPKT+etoLd8b25IJSKs46V7PZw0yCPCGBWshUqn3jg4YumL5SzduXdShdPrdkGdbKJo52ugyQPvuudM7Sf2mJBapyngOZPOr3srb1QK6l3y5hlnvTLAlCcvGIKSIA0W6jzLt8uf6vSSawx9RlAGObbsGKWf3PxQ9Q/FRBDM+VOW1nKYF0cvDgouiHJnwEOdJZM2XHjo5oJAn7NoHW3eMWLasTSEfiHFhtPTH9QJma9zsRInyhX2Di2+8Z+vSxhiKk3urDiN10CvtLfbJQ0MFLRi4w761e0r6QPHpws964RhSeVAvqdaFxYJ2vPvWSv2LmkFH9s8LVaZwZwmOuW0wVzmz5/Wfad1lr5cu0HJ6r4mYv3sATpr7juHUn6OsXZJgyNjXWk3t9M77YkjQLoPvI7OiypLggZOyicnGc/iOVg96B1oFOVjPqdVZtJUuRI86/1rAnhGtUsWRUB5xVnzUzSPocECeLT5Ig0Pp+/Rweqd89Z9xvd02DSTB9BdR0+qYzhyeHeN1L20StePHK7QiUQqP3/W69dIdJrQPwrhgPAci1hM2/ln5Oa4hSWaA86aiO2lvHgnvmJKWh/wwrplvfLfiD6EWvpHlF0FWBPZql3H4uYdI3TXw1tonz0HuqyY0F5+bFE7en1s2jFCS9cPQlp41fqeCEQDjhwC+Tu/5rgcK1dn3WwcHKGfzlve4Z0Zhyko1wZKie/k4WuwK1l9xW61E+/uGohdF8nl4PkPp51ezkJ0e+FI0YhpmXa4sEfhxAFtVrnnzRwvy86BK4EBa7cN0Zcuv9/ks+Uyu6mszrp3HyC66hTMebSFJ1wpnVU56WkMffjdnavoJzc95DRu27PvKygou8ZB1m8fpp0jrdhOQE55rNoMNFRAgjLRaVHXMLLlQHuqHLrYThsXoW8rN+3Iesu70dcr7YHmux/eQl+9Sl7G125jWnJ16zXhCVH0BsLunE5Zmbkl3z97Jseb12nKIcUSKKswssnhw2jXNpcHoSxLWrx2u9jJiMqj8w1itIuNQjwt/wBKlnqXvX5OKNAywOaGd4wnlQvt2zEO/E3Qz9+XVqJZllBEf54tIDfXIoDTIPJB1TDaqa2zK8XhhwD38i5S7xGvsDuLLA0Y0CYiRHx9w9ZvqAHzsCiq8a8zL0RdJMfbc5Rw6D54/UN11Rn96kxrd1piWmbuEuE1j0Lg612OmtfD6sg6XGf6TXM+rPWUr1Dt6/b4cMU+I2cSpK/7W/FCsEPxrUOjtGWH/PxwnfakgY/WhFz/goUBw1I3Xufd7BxpxeNdaE14DjhNJ1qL+mJG9CUtRBekOfAPUNCLGtZyUOSPdSN+mm9PP0HRVbyerDMabLKu2ryTvnT5/UKGa7sO0YKO1dQBz19H9+0HdisjvkRep85vUC7EgnKNCzu50N+xHVc44dcrmKrnBaohtFF+76bIZOAUfZ99JdlzggPw81aWUWv6iCxTi8wOtV1TUOaM5G6Il8d4OxjqzFFB1kMPBRfoc7/xhm/eQD+4/kEi8r2m/uVpHRq591kpfJmS2SeuR9ypMTqxyN+dICI6+ouzzMVsRJYf1KXPozk4F+BlUFTS0V+c1WUXwFMG82seIcdbjv7iLBoBZ8By7xDxK2S4eJdzobrQDlp00ji3sHvnmlGoXMBIq03Hf2UONDLQMR57eZo9LiT7KJWNtjM2KJS3jg2J7qWw0VlWaAmHtVLmql3lQihLdY4V8J1Bvh5500d/cZbbH/1OdTQD75egx1GmvZDtlkrjSqBn0GrwnfhYd1uOT6ifP6v0EGuIEYXICTsPeZs5oPP1BVXjX/doRKBB0+4aT7qDZPvM4d0JE+WLIwLbJdGMjE6DgNandnpVYybzY93QPkuOe/lvWf/4FC2+FgvVPjJQ9SaCNCI7v+zfaRg9edSdPm+sAi3/ffHd9KGfz4dp3poQdXrU9iiHfPku8f3rHqQ3fusG8cy79whtDqZygBYwdzx9zHO6kKKBo46cwXLJ8trUmpPWg9HP16DLk5T8K0t21p/VFfIaZzsrW2fjNjl78keFJwq7lRGPFeZOGlAuYh7Xe1Qvf8qtJh5JZSdbDgkGbQyC2YP6bHaVHDq9cyZnXHYfXThveZbmHNpgohfgb/92+vz7Su+yN9QLQ87PBZ5noMbC57tlOmKi14tKkOAmInrR5650SlkMjbaMYCg7nBN6r0W7oZxkoDofEdFPbnqIvhwiLxwhnyvPn3ln6dHOk3d2q9c16F2iU6c/2Ajtrqj4FwuyutTuhKDJ7IjZct5N3G6YnjIKUSZ8i7vN7ikaIe3Gxevpo79coJqpzwH+34V3xJvv9VrnioOec9KItAqHpkUOf42dcXhJEM7/7h/dSrcu2yjo5OOqDStOh35vudemFRp0cVNOAaue8XaDfJF03b96G73/p3dIGjsN8518pIzlUCdcF9GJauxlJ77VtmcrYWSfO2Zy7kgD0NJZ62IvJoP1LfgIiS6wTgHtuibZL+sc0nV6BtWOkTE6+ovXZGkNddvAn+79E1QCGW6jnkqQ35Eh4zbUOa8k+vRv7o5fYkl1dzYRCEeM2mOAoCzQP4xW6bwbLBPyskAbd0OjLXYcUk5uLsP1LjZ3LKLIjoCkm6BPvlW/Z1/3YLyg1Zfhcqxa7RJ8LUX1hdXp3yHB88vx48alz/vyfCAAHf31bNCot4B5Uofv13FKC5kKw/2lMS7pk/PJi46Rzjnb60I9jTK/8/QTF99F85ZuNPXnjlaNc+l3xW5lxHuzWRi7RrCypFoCr/pdtXkn3bhkfTYfkVKMEHPMtCMEHpgduW898n979wDUwQ2L19OCGp8HqgO0M+Z5SrVKwP/tRhjs4kriynB6xpQyqhhPVNCZcR53jyItgcYeaXDSdF38YpCHNgzSgs6XDDTtAaOtkvaYUbGFdpszOQlkKKY0T4mpcOeKzWZtYKacrQoqqy6dzixP88LL49HipIFndT5DCdd+DUHpebbxbf11lHdZj/6bCDtt8qoFhl6fA4V/k25oZ+mGQfr5bSu6GgI5/Gb+Knpky85OO2BeaYcHaKNkv4Va7Twk1zlVYOAdTRkabYnPFV557xpavlGGpXNnh9mJd8aTl+WKYjS8gWzU/UHjoXehUUjo6q1D9Ls71ecvKfWDP0PfJE/phXlWN5zZdVLCiL483/AMdSNL1K+mz34r3cq6uvPJ45WRHmeuJJq7GwuwHBwPaSSjjYmdoy1auWln1nGt68phwcrNtGjNNkuDXp9oLlCgPeXRjj4Eb4yHx9o06/61sJwudu0D6+mezgWX8oI0qaN4x5s0oQXvD2g31dHbi3ZlgZoD7bI0ERTIweLtwuq6EQ0iu0q7ddmmaJyhukw7gIYkb/N0QRni8FUTkUNc98y3g1ITL8t3DPfZ6g+JvlL8wvYQr0X0eY4fp53czfWIFm8TAs3ZMXWfywU3L6cHQeTmZGP3MuIBwrqDl94pBiMN4HydYQL+9s5V9J6f3K4TTRtZYVPwCZen3VXeWTupHDbwR8barhd/VzA0yr5lD+rWn7Xg+dCOXbtt6cztHla7y0qYuWOVT6vaUY4B/o4yIThcea9z7g8B9RWl5d7dD298iD76q7uy5ap/l/BzTkVRbcV7YfF+yBSgU//WEJQIbVRnFKJJyNmzmLaubmelc3TV/YRSornstNeb0wAJN1dRU+2JeVxjxx9GCtQQlJq2qj2dRoYm8S7LahczOFjhpURlqNueh+uVh9nPd4WKQJ/hHC/Vv9nf8deetat1VKq0PGX5xh1dP1eIYNrjcsZR+Iiqccjv58n8OArGrscAc4Ehg/nsEWjPTNWc/FReVC/UmLeEztz2gjohpYjH651F/vlCyFdVXXI3KdBigeZFLq2uw86L7NA8KTespfoD6UueXLcVVfjcJffSd+Ys6dCi67O8pmpb1iX64DhR/LlTPVu9ZYjeee4tkA70aizfT+H0SMfQmwf+++JrV/YL6i0eD6uTh81jfScVWrrizD7QtSwNVoboNE+nyb813I8AfrGdBjqmodOI8vLWOzueo0+noZ34OkclPT7sjT+8Q0LxqYI9Q46L1F6e0Do8Gn19RrSlnrkXlpfMxsno9+OTGt2xWxnx3kIUOyUqDz7rJfOgEJCC7GTyGDzQQVg5XU/6tycMa4V4dvL85RevoTmL1hn6+mHQH/qpmaJdvfPOQ9FyOwpl5u+cMhjw2q9fRzcs3tCVRlf+1xwEs9sumF31FJ0xM311GaHXvr/b3FLbSGbOFfVDa3V5yMRN4c5IIM85NAg8AeuU6/yic3+exxiNnqf0EOpzSPKETOc1eN+69+cjIsVTVPLlTPgiZd5lpk6PLvSOkALghe8bBZ1NHu9TanXOMSLwcOfwfvTcKcE8FmOmHHZiHhpnnlVsLC02bc8ZefGNDDidhpDkIFqLkk9X9HXaAQYfXzfIiDGfq+tU5t1XYOZMYXlEyOPJT/4MOVv0ZWZ8p9V8Yq7LrMop9qhdxO/0euH98nQTxLfkPCxEOe8OiXqKvc3k7eyizQdtfHrvEM25WmelO3+MtEraK0SdObIOHUl0HRCZtVP9cpnfXZ4bfsomAUrT9wNly4M0yWsTjY6ISnVl6sy1rZ/x40l6HQe+Ux2RsA6FDhtgtNj5FOZ22+l/HXkGC8S5WrCkznxEd4CQLmcr7dUo9xK9ccebl5bmQGV4gj6TGWj2NkQR7J0f8m2aujLlRJ3BBnMmL1zzil9xeEb8mq1DdNgpM/tiQ/SK3eoTcx74Z8lynkdkHKP34nnYEJLwzb9klITOB9mC4QcwNrVG120bpmF1pqfbBWrjmZfttl1cXjgUbwPt6FR5uNIjx2PJukHaNiRvPPUw3kvjwtxpM22X06INNqEAI8vGo9G0PT4GUZb5WWpCDMtEJgqB1OWEgRPb423j3/q0d9pzlM8W305VfyE6Axav3U6/nf+w2OH1DGdn6WG6Qtue08VRBv1zZ9Sp2xIDFW0Q1ZLqzAv5kLZi4w6aefdqEb7sKfZmroK1i9sD9BmDqlqD77vgdnr3K54N6iJBO4K8oV2GZHuh6GY3j2y/qtUm9+J9BYczP5m/zt0raG5r2SV29WJ5zgfT+845uJFBKidDVbKlBjAo4byOwCdn3bc23faslWIwx7WcKEs7dyD/4X3W/dJ9Ijt3EG/ndOj2ZHSQNLbkxXO2veT/ddaEO59C/fbctB8RgkYi9wSMo8MHPL6K0P0oEX4ZutjoWJv2mNExQPgFqKTfd6JK/4UijTy+752DhjTHX5lL06ifQ6dZgXkSao+LTS8KJtXl9EHJC9menseF6avLdyisoTK1A27W53dBEOF1iTqG3rMHncuLuvFlUF4OBnRTG/206ikyTAXbVk81nwp0yDQg95Sc4HPUc76GdpauH6TZ96/F7w2g1k68mEM23ejYTp0jrXYlb5jTa1eP7tbF7rUTD8bUChuePzH2mD8TKoHaCUpgVxoyO/H8WfhttUtzDiPVaen1zt6iPsOw9tiOYiLjs3WrsvrfoDL9vXfRvmAiUtHGSkE+LeXxFI5Eg6fIxl02VY6fSbV0glvckbJUY85pQd2tvBf67oUy4bNN8hfSEOuSfX5ow2Ct+S/Tuo+VmONq8XrK7t0Pb6GvX7NY7PR5PesmNHL3Brjh++hZ5t1Uafn5q3eqxHpxHBF1duAeWLuNPv/7hTLNUdB1eSLgWIzrqEjOCUAM+hJFURBdsuARVxFyX1eZ8kYDVykc7dIabnz8Q5JWcAJ9/N+1jK6aSmSiJbYG6szz8W5RZ5pPQ9qV3ORLT4YfS57ZKis+EBq+7O5H6Pyblwsa0B0XnMfyvDmFL8n8kMbluzJYvDnK6smt41B+1ead8dIrz+kIdY1YV+IZWl7w1avlmOTbjp5TU6exaaDOTDn+vpHSr9tDz9BlivV24mXiWLsdo1nMHS9gfGIap13Q4tCufomsAxdNIX18J0XxsF1f1Z44nw/6oGlKOgu72I6Nq46+qaNDoXa8d8rlITL4THSOmk9x84TwGCcekaeh57P+Sv9AkQx1nMWQFictojMkD20Y7NkRpnkmpCFbGqf6TjmnPa+VTuLdD2+hz/zuXkVfXr5r/Uru7VtekeaJ5J28DsQzNZ3B5luybjtw6k8Mdi8j3mUw9qUFcKGbXpa3QNLi1kwXXkKXCX1CZ16WrNtOx505R+TVBhUXlLXOWxL2+ut8uKrep2a3LwB4Xnzj7UYKWPw3rz/fNqjKTcudldEXzMh27Xv2dsvGKyi5dxbBnmiVmeWYqX6RTdNldFruWaEIPeZLszPlIqFZRKUdpfE21TPP2IXM3xOsdYQubyeGDufz1BWGnuER2wNKRR2HpHcmPo174m3a8EPrxltL/t0k9pkfTp9/BvkiMDQH1E58et2lGQd7rjb9nXa2AC9zeXSiZXweft6e46DV7ZUgLdQjDAg7/nGMwRE17pBJRxWqP1rtko750uzMJafh1+FX/HnGwJd1lpGWQCep/NyIyl9qW5IXvVUU1VG1X3duE6913IW1p9c6ig5CMkfUr2RpSdZJ4H1iLsDb+XedZo7M57SnNP4PSWevshHWSfLLAeizf7qcXBNhflT/RnJT1qHmUxdaTdvqudyFTe/WHcfOvPH1OZmGHFRcr+VPQ/58Xc687/wOAAdV6BefJ/wIWEHVeGinHDK60HEGTad81n0+Sf1Dtu33uTTPApAczPGwY740u2e9vcZSzzh+5HuW0Q6WzsjD1PrK3Tmh29Y6Mor2Q0jRiECWGN6JK6pzKXaSiawcEb3qzDm0bMNgnsA+Yrcy4jU8byaRVQDQokMTihvVWiGps3gQoFJs6ONpUomBggiUMwYm8YUridcG4wtOmUl1UHdccIgnWVoK3S9b53gvI6oD7o0vKIR/KadNWYKdO1tXHcFKhCMX6sAX8p1n0FNZo1yNMY4CL7NL1hPKas4hRUd7VJGSi4xCqISoX5EGhJkuidJ4+KAtZRWO1J5VUFKdcp3C8VB0S1rydd66bCP9yznzJA2hNjau9sgIUKgyNPG6Nd08rXDyi7LO+qp7djYqj2SVkZypyflUgH+JUZ4Ws0PICPSWDXrPeT5ewHGBIYaFHHNPeeRyM/LtduIt5hZqdSaeRzug3bl8e7ZfMS9vD9SlnQ1o7Zsz8SUeK50HKfbauOi2K61lvoxOkUY/mh/iqIiaiXW+mCEu6op1eTwp3wc+HnZNSN6i86e6HAcm3rwVQI60nLOdcx80Dym+Q9tOWo/++9VARzeIqvmGj3R2vnEPjvMlWjLzQ+wk5+kMvO9rVz0QPzEs0jIGvsuv2LzSx8LCXK0MdjXHRV8lnUR4M6XTVfMMRleR1DE0uM6rI6w4nWKtOTII8m3N+9jSQGvC1lVD2IlH+fdleG1px7iuDlWoVHkvQpWSIu2KmKZp4dBOA4SQoiN9YZ2CV+u2/LVrBrA7ex0Xdi8jvjOIW3aM0iULVonJzb8Tb4VMqqLODjc8w+YhesQdBs+YN/unyFPXsNKKSlWv1BC5sIACq5PIqx8caekcEHXCD4nY5znYGBiGzcmJddjxR8zRBfA+8/J3rthMyzdUn3NqlTKtpCQMuECyO3eYQZx/80OucY0gPczd8+TAu43Ozpo0aKAmUWmV4TydXp9zXtDBkZa7bsQZUEUfPlspn4X5f8HNyzP0ObTz9aXS3B3k3HoT7eX77CnTfog5GI9OwRWbdsRLLwtmZOn2zX0iqA+QP9o69Zypdf4XKD/3rd5Ktz20sZPfo4xEHh5KakKb2bNcmDUKU09jJDi4oQEpS6limXfp+kG6c8Xm+O+fzlsODFpbNxoBIQeVrIPzCoSGe6HN/EsDA0UVvqvb4f+eMZBzRlfl0CfqeB0pjc25ohDOCHTm2YsCC31Ys3WI5i7ZIJy2HgZ0P1maMdZ4mt4lLrADwoPe1Rdn4h3eQET0i1tXxLtyEN/3aKnHy9Cul/w7d+Qj5cnP0UQLliFVnYomlgfdYq35sFhfsHHZTlVGOvq9d2kMCGMC8bHGMpYfw+C0SzItLehb20VR0Kz719IdyzeLNOSQ8R0DUhbLdSkFqDRsU/mBgjprQs5N3lpLrXX5hQc7p3lZT8cYHGkxXdm+E3Q+H4Zs6345elVkA4W9hFjSl59XvRzb5PdM6PVS0SFp8O6sgBsMJrvl6d0iXWx7UpZwIH0HRgmacl2bhc6yicZuZcSHIb19+SbzaR7h9TO7xFZA+MIilcsc5XHLBVSqnlxsvDpreOcXSKqbMZMe+2UWJ+hfwGirTaPoI5kRuGA1/rI931AEdcB6exeUqNLwFj76qwX045uWVbQIIV+IPtQ1nLkS8smL7+6ZzsTYu3ahe12K4Vb1YmWaCOwset9GjeVYSGikrzempw111HX3TggYsib/HcK3PnHxXe67rMPgZf6qgHcTt7/Lmc/fq6GOaM8ZpuGfQ6MtYHhwB6jlLboOOyfszoXcmcnzARg21/k9+7ql9IXf3yee1Yk+KEu+A6RoYIab7kcsB/gqOvOMdy7kuyxJjgnHuTcspU/95u74749fdBec23pdozPWPC/6BGF2xxS0U6pxJCIZYl+EflUIijb/xGXsKxo/EklmbvN++edP0TtRc7siRpS7auEa+pdz5xkjM4eBATCeyiGG+KqgpAg7cN5atwWtw8LuhIXvILfbJQ2PJYf8R365gNZuGzL0kRor/0icIVM6FDRNik7EI0JZXn+dcHpkdLXUHEDOJVmXHf/cPOT5eISBph19Gpc71XaMjMF+od16q0PJdAQ+zlgvsHWZPJSXaXVkATzOB40tPnYFeCZR526RsgzHp0o4D4mIxpheC5aZmQPuZh+4TyHAU53RESZX1YaVhLqySVKemXEHa0LRh2hGkwff0xPSFE8XeXA7Q6OtWvqzvm8C5RHPatSJnKOJJq+G8WO3MuIDgoBCZ/sk8oLPE06IwaBdYl2neS4YmnomhJp55CqIKM0oRCC/Jr1SXjD1H/vVXfTZzkUUFt3OboVnWkADj2Vpx88zTD3UXWRFUTkp8ooDY841mCQuCdKgAmbT7KUbXAjKknbnGe9s6bS6TpRdcWLxAt778wSzF3aHzjNq40esQaftWudcRblO/bBOp0Fy2lP9gmnc4UQhf74uG8pXrd1DPzWTWh2lX6xJtVMV/uJrVyjonQF2I5ygwqx4M/S4y1/UHw5NX7VbHOhUdXYKyPkBeHth0+rxPptmogJYnmCA2Z3CUIbv2igaebvqt6ojvMP8PBHPVDvIqGiVJQ0MdBwdal3yXWN7LEHRXth3io9dyN+CfBluznASd2qE+osoB2rY8OmYAFfe1dz2d+DSO9a0l05+Dq5M5yLDLrrjYXrN165T5WQeHk7vhe/ruSOPx4TySE54PD2bVFPOgzqRF0XVic7x8p1dD6Z6QIQOHT76i9fQ1fetjeWef8rlggd49xyg+y+0M8TKd843/EFO+qJde+aopPpVVRFRxikdd7Er2pEsDn0uWB28qsTT7VpHOm+IvMsdffzizPvoAxfOBz3BcGVroAPIkLpn3I1BCtCzDqomaRvwN8R3kKPQ5re8GUU/6nJ1+GvAoZ+aSY9sHjLl9FjhKAlOiKy3tp6p2pt9/zp6+RnXTJAJv5sZ8WFQR1qS+RFlDFo18cSEddrhzKSOh14LU0RzSirMX0agA2XXE7CSdjs2iHmEf+f698iWnbR5J/6sW1tM9LzC0VLf6hVtq/wwXIk9SxfX5MfDg5cfj0sB6ZR18reqBF8XbSQ37vqTWERdlB6nDT4X9JpIF3WxuoxAsSumu1ed6JIFq+jiO1ZKOp05UDecM+72eDssUVG2Dj5XGDpt6/rqwld6+PrU8x0pAHLee8caOPRREY5RFXJRjTF2lBBJ4yzXrucMQSFy3hl6Pn9nxPVI9K8/vAW2MyOzU8qzImGd0hK9/BgSkdyB5r+8TlSXWINRQc9jQI1x6offnrfrhRxhqC4tf1A7JpyeSrHzTsTlGrFwelunF4Kt5Qs64qblO09F6yRA36XBDRePb4e+oAvk4nrpEsVkndh2fiAS0NrT8yjIyK07R+nhzTtl+c6vb0Dn167khZp2In4zOuoDd1zIO2jk+6pjzGBj3I4L4rVoXiGnmmkbzV/lFNLzcf32EdqidCgkU7TuGvhP6E83mlD93XSGQjsw+bup4aSUtfm6KJF1XIrvlFM1FlYP5nXZOs3YxHea1982Do7S6q0hKgXwTFV3yzmK4Ru7IE3NoYI/cyKv6jpfvTxafZHjL52TdY+7lOoXtY02mcqS6D/Ov41GW7ZkeG87R/NHe9FcMHdIODJB0OnIpfBk+/AYbRwcydKzq9i9jPiaDMOmpb/zN9SydhxFDwpYRZ9IUwIP7ezwc7+6TnRuNf4N2vUWt2s4q4JjrZL2zFy9HRSOhzYM0kgITVKCiNdfsnIB6JwailJAjHPRmm0ZuuSvl8d7JoQozK+FNkjLk5AhrPpBI+7Px7rzXv5yCo3AA+8ySzB4csmdj9Cv71iVycXyx0Q7qZEBogGNJ6VEC09up/ItO0dNeGldJcnSni+H68yX1xcC4bQ87/PqRAJ3DArRQJ9VqLRyTAQMYf0lEKG8I/qSQlP9cudLysOVkKsWroXjUFD4NAxbL4VSVGJ/UDSR877Zb1pLeaeG3tUoVd/IlJCod6RF0oHyEvmhmm7UBzCMtLLJx1Y70JCBpLvs7+iwuaBo7Kb0ByVVh//zPnDaPH6vaXVlAign1Mmiup3ev5TPruey1P1hsrvz693ToUPnJe3qF+gTiG8JnqQ8rLoVVI63ZZ2U3SGMIM6nCvxFCgLPBF+L+grisaofheXzXhSSngNiPHTUSGmPNVXlLO0c4eiQbg/JI/uVm/RrL4dz5BmYxwFOcITQeXVkqRh/Y5whcD5VzQrrLMuVytSZeaeeA5rX5R31C8Vyx0FSXZ488vnNknXbhX1gnfP5eVXHOcHnsNYV+LpMfU1pRES/v2s1DQFDHUWnaDoRfwSmQ1ZX5u/Q/eKLeujJhl3BbmXEB6QQTivkhUebPat+Ux1G2Rc7HeE3eei9jbg6m3Sh6QE5gwR9Oi9PQyHV/AyWmeCAPhiaH9uRz0fbbdpjRsaIp2ryH/Ol2XT9A+tNewHwHFPm3aByiK4tO0bp//zvtdjYhdTKesS5X0rPUj4tmPPtiG7VmQMOgT7DzufRTwpiCl8Pxh2ipQTvwWOc6IyuJ+S10BAGt2qPC3udR9Cg2hAKU+f3S5ffRyefd2uGmt4A+4WUEZXmh9OjNSH5ADJ2ofLpGF0phNs6NvlZzlC75qtJQU3l7L0btg+aHk4DFVKZrcoxvulqXtWnYdK8Qpc0Jf44oAwOrUTzJvQ5e9QH9Ayd20M7cFo+mBBs9rfvsGbvSz1rt8u462Xzc1rk+q9kqqQZXZZlXn3Jd7hx3ZKWVLYydm3l3Xig2VVlfdLjgRS/OlygpZwAor2Svy9Ne6LRnLEGNMDjQpynq762mFPOVItkcUyS9HHwOyRy5YgIrDPTNEuT48/z1JGRfBw1nXx+eTqRntvoXSKavfUCI1eiM8lbs6kew2NVG3zuoDHT8xBBGFsqW9vhb1AGZ1uRNOjbyXUUR+VsTfw+1J7WbPjtMueC0zYT5cPb8ej1n8lf+cyZJ1YU+HpmF1mXo4/KjhxkdMZoKbPW01/evQPGAYGpqdLAupS5uq+JOnPbc3Z6Y83/7fKILHX9xW5lxCMlIUC+UMfrFMq67bD8UbfMW2l1vPhacZDtKaKcycWbwJM4TwvyLOWERrudbhZG9GrHADrH53nXdVhaxcxDvjwzzdHLgQzqXs60ytBGT/iC8Td/WBpKroEhGpzOGdodZ5SkXRZ0w1NFsXw5Ta8nKOsoFYDM5KFmykXIos8g8nbixhCoq6CCxtR5As8QQ5TXcbp4l9fhYdRKDCpv2/HWgn5ffG631FjxWalvA5Z8Va4lvnb9nV3/WWgh1M9Dt3UEk3uZXHRABCcOuskbKIHeO2X8Ta9BxNu104WX07ydrxedhmkJ9FJsV6/disVIZpkUI8ujUf2eUYKMJStDrKME3emQ5J8jz1i9RVGV1YawZKFq/IHM4mOdi9BDbwGG9Oq+8LZBHSkPaCc+y78bvlZDPr2eOQ16PXPooyKcn+rooLDeRVqbrYmMEYOMNDguzmB5Rg3fzR4YkPnR3Q6cR+vjIPCdt/PjFyJd6kZQebLR3TFVOyC8mso5BwjndXJnQ0EiYoEbSBm1T/B5/ozTxIHes+FTjG7EB7pFH2jaA1/I6eTeRgFxWsKaEvdf1HemxrVU2BvokbxwnQVO/TBNPeVOWD5WAQXJZ55uAo+9qnWG6It1cv2083vH8k30d9++UbRnnNjCMVD9tsA8QVHXFGm3MHpLaccDRU/3E3tMSK3TFL4wzL+opDikVHcBZtr7xa0r6Mhn/WFt+jzDjKelxZ2emXP2cGGx/IpRI6DQ/AIo5t3AGS8/WxPrNAwD0KkXOYE+k2XiLl0OE0Ko5dBxHsrxDzR0b5czHURUbh6hcnXetycEULoXfeB+izjD/M+5fik9/Q/2JSKi+1dvi2FU0GsdhR+JPCWR0SC8XSzhzOg8DYY72nXxPeH5z+548I79oDNYvidczu0CaSMAqM4kuLSwBzuZbPz1ZxdLWE6NcVGvX5E2Nv+T4VAYXhLe6fwVm6nVlkd6kjHC6lXtccUmponQ6wwPK9UuK+Hhj33wQtnbls4BMxc6efgYIAakaOEKN1J2Ig0e7YDv2DWHvmiQ5rieF+Z9s/7os8Ek0sBah/KlArqPJcge9J34tFNl0Ysh0QaTj6/dgeCAAEahVhZRO+79Bm07tqkcziP6hZwGyhmCI4Cos5vKjEJLeoS4Sd7oA/mSiE7Nv/FOMpo7bI6SvxNf1ORhbnh1qZ+nB+jekuSQlDRx3sMNK7TDresqxRjJenkec7Edf88mLdGgge4DsTRV0TrcKYfWWS9Hnar5qNJYefsXGLMMi5V8GNCi+QDMk2RkdLJ1Jsj9q7fR+u3D2bK2D14eOZ6SPvlvTrMXmYr0DxNdxdYf0hd1XWu2DtNtD22iQw96fJpfer0AOpG8SE7m9BzJiVguyDXunHacWBOB3cqID4j6IQ/FgxdQWAXAGgd2AfMQMs7QPvLLBTTnI8cCerobwki41RFg+pxQ3V0UXhV6pv9paiqKWpO2zFVOfNy54qHLgTrd9py0GuWAvSh2xHppLzWIhLfzbpyq9AVBubp4nduG8OU54gKhOgawEkCecQKVhAydn73kXvruP7+YiIi+d+2D9PDmHdm6bB/SM73useGtHrKdIxluqhSGmu8wpUmaEA21po4smM2Pd3RkmjBYtJMNtGtC7Sl/sZqMHmHzioqoxBP5Z/u894XGMdA3UNh3Eer67pwlNDjSElRx731Zdv6FHISqN7q8jPRi5WpEp5hdYsCP8bl+mYbmmRlHNj5CvijD21O0OQwfoHSmMu0ipfHMhbDzYxC5MZY7M/m1ayI2gGHF56g//nou2bB/Dj0e4hibor0E5Xj5KnS7ELTz3W1RzpKCHR1gjPhqJUprCV/K5/B7QEvi22mMjex0DVrGw0g24MpIRaeMGGBzVfELeJEeb0/ZDcjR5MpEMC90GnLaot3DVE7SFPOX+fdVsLq6RRWFaJb0MNBSGmbsHpsgosHhMZZu3wmCdrKJHWuwvviRIEVy+ncZ9Ce02RHayZKkWgztspRC82HJC6t2SpVm9bFUpzV2L7xlOd2wWB5R9eacu2bBmoJzPOM4RkD8rR0jUcpYneYRXI6Fv/UnSXl+j5bULyvXpJOzwwcd56i+16aiMS8LJgK7WTh9miQa3o2xaDJ758N1CFmuTZ2mq0TeXaTgp4Vl64GXOETvEaDBmXhQacyUK8AznpbqlL8E0gLkuUTVrlBiAIPiQibSjj3GCLwZz1NvBQNSRiTzKDmnAIyiDry53a1fLzz1CvaEC9F8eWTM8Dp1GnpPmlikXNk1WIKIkHwH3V0O/t7UPEy0WKGBDe8sCRCeoV6aPxLQGemUpvIA+rxQPGgI6PaYgsPD1UNezQ+4E8Ds3iCe5Mw1HHYuyUNtC+VU11Xw/ksFIDgYeJvoTDGBNGvg13jfoA9yN1s6ezE/lnkQX9BrAc4Fodjw3+4801tzlqcnmkOkSyqWv5OAE27GKjhhyL53zmNwBJtsB4Y/K+Wbs29t/MixleVDWUwfmTz8OXfS6DFqs0p1qDfcLVN1oosOdcQch2URbO545Ri9hjfY7Kw9wMOc9aXbQ3k4X9W6C16zjOc57dVx2Hnh9LGckyjmgjY+tRFU8LnG+VUBI5ZkXfk+xDyU34mHjpmS6AWfvpy999KU4/w0QDtdRP5Ii+VheIxSnQOF7EOdM+2o7tRlUF7XI9aLTPPKyToQfXat67rQ7DY6F5XxiEmkE8wTb+2WqlLpuJC/Bctnna9MP42RkXYFGmcIy4IcOrYPlm/VsfkkDf6/+4XdzIj30jhD6zzr/Eqm5XjcdV0EwoB6eJMh73/+/E5aEz5rwSlROyXw0g7D2Cy9BJ5t2jFC7//pHaIdMymZADPKS2GfybLVLwoFgwqzyoPOqCM6vagKD0gwf/Bn82V7gRaH0XitoV0RjXNvWEqzwrdinbrq9Kok3wGh60Ih1ClP93Lo/JN7D0OG5izUHOKE6vkuBKyjoGtakNDQ+f/5Bze7hhiRVRw0Llmwimbe/Ygo519uw5Wd/NhG2tG4kxwH1Afk3PTCivVOpvgUjTLUyw6zFXxEGDidM4pt2T9Oq931sjs5BXPtx9wO/0bHBFKdkjZUARpHsXNKqp/OGuR/ZY01Bt8Z0p0fI8XZ+4a2x09hOL2ZM+nfrehVtrw9Z1wgIzkkiBvoxTjWcUSEX0uLGdsyLwsQuoVnV23Z88bh7Dh3LFbPZDQLOuOv2ylLa6i4O59qPYs6mUFr0+QvMiKpTJfDeUcB0jjIOk+/bGH8JF6dOY4gDWFteOfrCnIl7OByGsK/+TzEmxXO+MV5mKedv+hCtadFI3dMYh1W0inDniu02tyBJecajKpg5bNh8SA/12tzn2gNvKUgf+6IujrPtO7aCmuJ9UHLCzF+jIZIi3qGjntFA9U5miIdfbJf7o4147Xee6Yyn5b6x+okySu843Xe2vV5Up4vprXk60f2aCHvl+RzyEFubA6gZ/lHP+yzicZuZcQHoEvm+EuzocO2jloTtkRMC9DjhOIREf3q9pW0KgqpULeYndnKMTPXE9ZO1HXbh+l3d64SZXuZlNqbLdLYQoznURkzN4xJla1oIZOWOgEeZYThknXbaXis5VSWaLn4jodhM4I+Va7uWUyT1vn3BTcvp+tDeBRXNPKkAmdL+u02t8W78RR09KkiZ00g2uwuW0pAZ2d1IRhmrYrp3QaexQvdRrv06Uy8PF983QPrXeURQef++a0r6TfzVyna7T/qREd4Cl8KFbfGbp2dU5GmlOmqXkmLfN/WyAh8AoWl6fKescXbL2Nap6+IdmeuCkOllIqpVJYK6DQo0QJ10uAYR6MpkGEVS+9+iXo7d2w+h2YZH7Y7/9yBKd8XuhwS7RYjmkOdY0ipjY/y89/QDsdTN2qdQzyLPV8LHE38PeaMDPC3t2uDSed9L6LjK+QPTiFPeUcOCCsL5KDKtSfHigrbjmc8dTNQC0UP2pCAoeVU0HfnPEgrN8nv2mOUdP/qbcog6NTJ5Jk27jznRKvdOZOdcUAEA9OPkgJyjGR+Ox9TnpZaFNoRqgto3lwyOk05QGducyqMrd6J53lyFzx7vF2uofC++PyXE1/KI6lbt5msMfOXrDzS7SLnreWntg+RHuIX1aVnsR1gtBoamFxDMl+PhwcvixgXJdfFGXBTZ369wH6BtaHHCG0I8Ui7VJds29eTrHzSG2tl4LkK+gtngh+rsfJo6Qd2TyMe8BEcHpIX8p7QdcONQFokRy944AX1PGDQKI+/6Oxcnk7EalH2nAMi5znVdZvwodJ6M5GSoMcBnWtB0H1+1ZlzaNZ96zpNe+XkHzCshwpTg2/QWqGPBIv57moJnENRIADm4fWLM8dSvRvAQFOa4naCFqQAqF/VbnimjQRTl5gDHVrcs4SMTG1gxncJ6mRpKIpDvztPWKDRtwyeK0aW3wR4u2x1jg6Ii9JqCBntfeZCSof2I0ELhZtqLxdOqJ0ungIcULBn6PvmyNGkL8NJn85LbZvvxBOYT6ENsK5FOUOTpVMr/Xxt6vmL6rJLwg+VRbRoxYYrsGb+C/6rypU8TTbO/xXGPWXhyq1tpzL8cL+CUejtMpfqV6Qx2uM86Lxw6DwB8yrSohxA+KsY8g/Bx9lcQOHxOhKNWJ+tEZPnEfGiRE8/igSDNGc+BvAVLeSL4c22Hd1eLMvadqY2lSXRCV+9VsgZzVvKzgLl9Xh8PzogWGWaD4h+AbpCf1ynubvWOY+V71vQ2UO0QzceUYT22I78CV+9VjhBbJ0lYH7pz5xTqYxjXJhiYf7ndqVJPSNAn373fLfeymn/awQ68tOMIzDKRf2BJjbJNU+PMinj9MrVKZ85+TWPZq8NfXVGR1kh2YpkltEtSlmmakfSIvXTDq8E/Crn8OO0ozHjofbi88I8PxsPc1kvnzuWrAnBbmnEI6CXHSAMRiWQvd0rTxgi6IUlmVDII3+JbEh6pXCE9iQjlH2wdSUGkYjXfUb09Qob2sJXfqBd5q2S8kwhx3irOuQvRy8RBh0+Dxerf/YI0ML6h+aK9uK7CgolhpafR73dko5CtHJ9EM9Yvlz4HE/jdQVlKOekQEAe3ABxJjujuMl2AhPv0MjaFsadFu7w3ftvLJsC5rYmvlcFTAsuJAwRvfbrESlPS5XjPMYoHiXYzSY7lih8Wdcljqsourp/w9xLK0WfQ71y7qS+6h0nz+AWaYV09rnKRA06+e5S6CEK4zR8h8kpI1/AO/HmFQJy4Ii1WpbCWeOGgWfakw44Wx6tiRh+qzoLeVlJQOlXmboo5rEcOhai5wenneSzsIYK0nNNz0NZN6Sdt6NoCG0XII8wujJ0yrrV2DLFmIe1BiNNN1Oyhvg48PZ5v1x5xvqSNeTIpuFxTLwvt7MbaCyKLs4Ttdb5+8zu6onyMg2F7+ec5uJBkXuHtk1NH8+b38XO2/Dddv41xDGtDvG5DbJq/Kt/y2iiRHOVVka+kLsvSe7k43eKZGuuLpso0zjfxnxKPpMROSU982OXwnHxdAX9iM9xJJfqGK2IR+j1Ipxzer6DtJbjdATsytgcWIfyeJl9huQaitqz1PQPu5UR7w1hvbN9JXuWz49CcdPE88rZZ+bsERcQygOGlcFO3WQZk9ylDMaxnP5c2cGLO097HbhnUECfdblAO1LABK3O+BtDpQvNntC27XbGke2WIINIC5SgRMn8DlFCcdBCNA9xU3LGcC5RnYD2AC9c1HdiBQOnFM/4r1CYAfPPe9nTDdlwV1rRF6pE9xvAS1ncOWDHz8uTxgqt57xi4937gASXpr1XI0173suSC7V8H2L7nnLB+A9SHJDhYWnvrkAh5WCUTQzzGTnWrnaK4h1JwLdJ5nOXtcO/uRPFcxrwNnl7aT7b9oiwEyW3WybPBKu6ykS7jo7gSqfmw9jxYMfM3O3Qaa9g+ZCCiBRLwyPKtCMT50BmUXz/2gdptOPoGxpt0TnXL1XtBVrQ2q0Qd+kzzgnNIzpES/7hGqQsTRkj3MGnSTRr0HEKcfq9aK5EE8VdYk2nzifrtPTViaYTfUcyJMydzjNvhzzMi3CWmtOQhiqluTusTh+087VygMmVDHm7oUXSHvusHsIozUAvOzuO+oIiB8NvVscI48goFDzalEvjqb8M4R+PYTTrtLDWiTuwZF0onB7N/9yUKRjtPJOmBTl0rCPe3sMgnAyOYEH6tk6zjpJuDsL83NFzHelV6BiIdUYXJg+EGhdJS/WsVaboZCvDJW25Z7n7gXh+z2nQD+xmRrxkhCJNMHj1jI2+MbbipEx1obMuKS0vwD2a3UWn2uVt6zAi5IjwmA9ihDxvne/Le0Ahryh0NaZ5nmnjiODpkilggSc/tzY4PAa/Y181ZZmJd9cCQunkCc8GlFHL24N11mDcHJr55MLHrfKOGgjt5JlWr6FuuTb4n0Jom7VrikXI+SwFEFLU0Y6/7s/g8Bj7jj3Lk1FeUn02Dz4jicuLNJtkjV7ArxD42UNdN3J+2QtwUvv2Lo60+xYNOcBrUx/QO+nkBbvznsOU90TzdHxhn6XB8CLeL7VuzblJUb8cY14ninKgUuVhSgiSBaZOyAMVf6Tk9NIRFxzeOkGfUkPh9EHpT/MpjZFn2ARjy/SPQoit3fWNu9lid46FzJu+pE8U6l0XbRB8/vcLacdI9bmstVuH6bOX3AvpQ85DTwaUis6iKJgDjRVUcyA5SLghkN5zb87XMp/Hmb/ImZR7Jzwfr1vv9HnOOV+vl3JG7lgrOgu7TqBjhS1M/b6I8s4CdA4a6UIBiLeHv71y2BixPD2sJX0UBtZJFB1k6N1ko/YIbTAkWurc5K/rbHeIQA4/IjJRN1wOEa+DkpNS8FNVF4E0HSkqL6WUfYB2Ap9X6he1g8qhI0+6TvQMD3FnPoI5HmWccm4IGrhc0XON61BAjhHJfrXAvTu6PALiV8auKEM0XZrJUv5J3oSihe1cYPQp2w1FDPQDu5URH4AGs81mUmJMecHl7TTBiapeKMrvzElbX2mfoRqEgh0mHsitn3lKBW9tvDvxWqGX4aahzhL+8vycdtMH0G63hc8/t/bar19HP7tlBcwrlIs6igOjEUdVWGeI9aiyMephtx2GZQPao1GlBbmjNHUbY75zkEuL5YgLUamReuuGK7R27SZCrXMO1Nn5lbtScv554Vsf/dUC+tasxeJZEhE2vziyEJ9Vv3Vvgs6dexXlgFAzO0ehPlZOO3L4u9HkSYHn0SL7UhkUkh8QoNM/457eV6I9dahUXMEzWLzL1+RuA1YGvTUR+FsJ0mRd+T7rseV8WJdHx2z4PNHGrmA1WnnpwnesI4HNq8LmD7SEOuMn5myXTb90HVU5sJZUbeJfbE1EGWJ4RBl5olYCA7SRIGgBbXtHJKLCZ/YCU794eHagHYVLI8gdZ5lfzyceBZbqRrTXSFNt6nYLkv0wO3CsfnQkSLfTDWa9xLln5Xq3ncVAu6Yl0lhwR1jIk3KlYzF56lHEnH1vjgFdUlzrObnOHY9YNjI6jbHL5o7mEaWlPaWx9kmOS+Rzbf8yOf2+PGMyGP2wrriW8p/J4/2L61kZmlAG8brirx3rkvWZCK8XuWMN+qB5LaKhhs3BHbSBDO3kkbpavk4Y2RHJk7KKVWV294U+pvIK2uFYdV9nnhPL43PSHunIibZNmwjsMaG1TzNs2TGaTetm3AXkzjuIhajyinzOssFnevLeSbSzlWgoTZq+eA3tcmgScgp9KI8cAr1AL0TOY40CwdMyefQze4Y+T4sO0V+/fZgGh8c67XnKS75O12AETE+PgwjT4/1yhKFHpxaG+Ib2CshRQigtE5bpMXPRZ0GfPhph56iGtzvdVRnJ5OdrGK5xVTbUtXzjDnr8PnuIPGXpKwXh3+imUw24I6PWsSvUglGHaAF18/s28opUQupnZ4yZcox2rKIjXNHJoecjp6OlDT9mrLbBYNVZj3ZeWP7IlSVdPqSheVyRmOfpGinN7gjIcEfN5+RckEZhGfMYf1QXnqQh7w/QfyRaCvXy+djlwul5m0m5lf9GERj8ORqP8FUBrYhmFT6166LvoOG7tvyeAt0/Y4QCyw+lxfdd2ovq5LyS+blzTNcFDQc1HuhzZJiny1+U1s6NLWuPN1AqWlAfZDt53mfopGo9FISV9mr31t4iLupitAwMSKMuriFGDD5q0z0tVQl4UA05ltazHX+0XNG8MmllMnZN9GHpfGLO0TXQi0NHPyAtRTg6Y/tKFJwTqV/a6cLXXvgcqdEzye7MBogNQKW86m7BTRJBiuIRjAqdvWANGMdiYd/lz29ZEeeqxhX3rKYtO0cFzZwfe5+j1Aa+z4dTGb1JiiIMAkqQViviU9HI8wfnUFkSDQzIcnAe836p/kneKbO7AYF9wG5lxG/amTfitaeUyE48lIYnc1qAOa/Rlp2jtGH7sKDBe9eeMNXP4IRlkxKFh6SJp+gFddWhty48g0UzjLJMhKIwQo+y8MQL1+VhjuHMmfVsd94tVx61kp8x/EI5xMRzyvRA4TMBL9xUVUXIU++dic99F523C9tjf9tLbpy0jnZQUmnO1XntiHea2ZXml7NEISUEpcyf1kbB0gANaqEUhNdJnVAqKwzDXEuV+oJLlpM0WGFvDBxHcavokOdW9Q6SUNQZT8rvEqM+pDQ4PxTabNzDr36/1fMahkBIU7vf/Jwh9wtUTjZLC3KK8rG2O2mGFDOvSkGDngOl4d/mqx+AltCv3M5RnI/hPbfB1yMs6bEO42Bhf6O5mnbi2bzX5eJvuuQt9S+tEauEy37x3WyeH0XrKD8TUBC5wSfXKQKMKAH54JGUTp+10ui9Z1lnas8om2w9F9Q5RmBkMFqDHv9w+FUsnxzWiDeEtKR827rq7HZ5IfMozTvLqndvqcB8TRt1STfkcsXyZpLFTFoJ8vD5YfQqNk+Q7hpo1esTiS3UP/2+svl1muD3Ok3+8r95qHdYzyg/PMJVSJoQH9DtEYX5aZ1ynMdEWuKz/Bgjhx3S73VaKmfD9hN/tm1fuXCNPR7XKXfFvWvooQ2DIk0fM0DzQ9DnOZWUg0U6MO060zzJlamWFNde0us0vDfZXiqfZAmfQxnnKOsb0osmAruVEZ/ADLA4IdJAp0t47AQyF82xWvXkRwjNXHDzcvretUsUDV45OyHqTBYUZhPTvIu9as47zdA0vd1gDAluCAA6jaFDthzsQ40FpXelq/OQ1pNojZJsldB7Wqo0xLyIqnYGMopNzA8emndSY14h4HN4lslpWrz5jEPdUjvBCCt0GhIaaO1m81jvel2lSQtdzsSN97+woclQOWACIfw7t2OHxxgIyhrzJAl7ywMDoGEkhGj1t/9JJFm3Fx7M60chfDlFtnomH+Zup9fzFoWg5pRb1J5nlKD5a48e8L/Bu/QUos4jdPFQHQWdh+PbS6jyfBjyAVceJZpimhoI/i8UOeHRVei0+G/LA5GhyfuV4+ninGwnDd4j0nnkHQnga10DfZ7JlrfOGtlnoJtkDPWqPxlFtAxKu3VgonmLeDTaKAjkWCWc37qv01I5T8/xxjYgfcKwNIJC3t8gL7bz2gu7t7BfkffZ3UZZV75fATBcWtFXEninaj4iQwzxQD9iLuxYlybRlz15pz6aj9xJnDPwuVFt2g0GI7Hxb9voFI8PmD6QpZN3OkSwmHJsLug02Y6aCwW+vC5H30B0NFgaZhQFjZZt2DbWxwDPZOOo0+oeJ+t0y8hG7uDSaYk+K9/94y4+r83x/bLDPLsdU9JHOuGa8Jh6H9Ccie/AMy5QGjxzoZ8BTxneZaj/kstS/5FRFIEwrBNaR87CsMRwxWF8QF5oI1Bic3hB5XZRxDNQztAidqULITyQ80T3oVtaol2OsXeWTXuN/+STv88IVvlv+YwxLUULEgjasKrokM4MaGyhcpqWku/mSSCmGtPwY1k3eMYNTTNW6N0o40R6+L1+yefhWfWJl3w4faCqXdpxFE42vQtrKJeKSp20UqUJ+jLOGmjgxzRuqKfy5pWqecnRUmNdzf8wRpx2WRatidhXsNOBYdtRxWPl7roW2Uv1a4GPa4W01GxI0xEQJUvMvVPx3gQ/KMSOJC+G2rP8Q/aPwzuCxPsJjU9K6QT+zZVBk1alEFEh8ke+Ew3GTr+YYm+d9CwtygJLW/gTHglQcwaVS+/Nrk+KaeF9qX7pdyjSNA2pdu3oEJ/jDOOgaPdCy9Hc9ngtEadXOcuF7FHtIBrAO9EYE/3rXi61x95JqdOAHJOrSOzq440W+Ys+MSecjoq+WrpTWZp3ini7x6f4XAh6iXEqddbze35yG/3i1nCfkKU9Vcr+LmTfvcgGbuwWnf8hRx8VJKMqiIyOEeZ9q52i9RJ5Ss6U9Zy+SCfhdRApWaz6Kt5J5n3xv3lUYc65VkU4ptkTdJMAe5dB+h0owvETxQdKO+dItS9oJ/BMvTf+CmD0jKaPLKxugmhJ7aJ15vWhjh7t8cx+YjfdiU+ATBIwJp3fLhBsgNR52Vpwrds2TDPvWV1b4XM9UmCi6nZlfvnL2zEKFVlhmMrYwYgeXEJjCxSITorfZ9ufbuGsiK5u/XMXImhXp3H6kZGFbvXWOwJlSdUnjJgy7e7SUyqX2seOHFTO231BZ7BSHkCDMBxwi+Hdl4xOTynjykGsWyl86LgL2vW18ySVsUdM8mMm08NY2U6XJdHZ1z1ITztw35jVvaAuI5g56oaph35permgVM3GtSB256KTAa0p2S6kM/Q54yghxXfQmTm9e4s8/Jw8dB5X01xrR4wsv+dKTLcznJwsrfzwNBk2Kh05KPTdOggtEaKfRVUayjPAkzSB7lnATiJ8J4FuZnya8+5kz2RLWYANv0BLWcq1y3kpJ7QkQpZY7EMVrcB5BadBKs7eJWWpL2lcUp0yj9xJk/3iyjRce/E3pSEjUhuDvL3YL6Y/6DrNHR6QJ8n+yRBg2R4Vdl0K5d1Znx7vCxCRK8q40zoGvyMByn6lL6K7axKvtX1GtKPdzZiHrY1wbluPB9TnwDgSYTr5P7j8S+UYDfFf1ugtCqL5KzbTnzzl8ZaGguiWZRtpv71miL66m0ZM39F8RIS3qzyC77Oxin2Kaek9Z9cEJf5hHPK6XeFQkzWhT6uJuhjfMRtC4LhRLmKrQH3g/VM8U/ZH1omi9+o6sXW/OG9P7clfrHOxNDVvfb6DeEX6tfeEpV/u9K3y5+eor0d7XGnXsXvuxLO/faU4/NrJmTu7xdMQkKddM527V22hT/367kx5WVY86yJEay1gxkSI9KLxGG0+yYMV6NbbipQEMe5FAYWoFDyOQO5AhwdzpwORfd+JFqYARJpsWoB5XzmaisA4kaKhFNgyvS9LXx5wrmYEkGgv1l2atNx3lEN75lvwrA9BWTM6tUMLOhai88ByUTJYgRJ2G6DBSHyOpvwDKj+vc6AoaMuOURoe63x+jko67dKFLv9Ao1jnaIW3WyaOCXj5gRDM7UB4XuiodAJa0AN3t9IRyAg6RFY0yeaxVsrqfOoJWYP+fSIpT+UMweNveDSUPeFXtiv6oIwTdH4SrjPWvt55DvWI/DXWl5S3Uv7xNN0fwb+z/JcbuymvHuNS9IFipFVoN9ZinIChz+BzdZTGNoDv6vH2OA14J1/JLtGf1K6dH2SA0tC719aPMfCRk0HwD0mzZxB041cdGx4aP2GnNdAnoqtK/VtmLzAeY4Ii95kxLkf1+5b9ku2KZyzNOAtQlJTn+Mm9G5HHpiFeVDlmCvO+Ep3yAjhDi64TyBIPYb2f/vuF9MMbl8E0DhEZUhRKnwu/ZUzL6eRylx44UVn/gjPJ6JwdfYBHZ3oGtKaTKMzjBM8Qlg4FO+5aN9FVFWwC6znAnyEYPkWd8WdpcowL0R+ofysZyfO5eqOji/qOzDSOtkrLzEwfQM2YB6o6hfM10Glp6Cd2KyM+GVhW00aGItrh9nb6Ul3sb/WMC2mTR9MJ+iAnc2BGkpkgj5k4uxXTWE3KcPbOtwhaHGPV5ueUSy++117bKScWmf4F76EXb1qrXbJvGGeL1bpEKnr1iJ9xFx0T4Ls13qcq7NlqW4cMB5R1yMv8QjuqD5zxgnr07pCdoZI+5N2X+UtX2GhvuRDCZvfQE5R5wSCEKBgXHS0ilAMtnDqC/53nzaML58lPFoox1rwFLFAjNEC/UN/1d6XF2Kv3JnaOWLYYGaIEJBTarF9W6Uz06jRk0KY0u6DNhTmCPj5v5TqBzk3UjuqXd/60RHWi9hTPxPerqHVdWh6tdxZRe2gB8X4GZVCva14MyUGU39u5R1FtRB3DIcN3EDgtWT4gxjjRyY0U3k7IL/k3G1uSY9RSd7Rw5TaEbIfz1xzeriPitTqtchRKg4XI8lGYpuWsmPdorkl+Y8+ton4Z0onU2EpDIM3/3G6q5wRHGBpt0+GfvQKm6YsW4fwk/1lMi/QRhZmv+X50JpEdRw4dTo/gRVu2wVhpOYH0Ws1Dc/mJrLMtOOI130FzQMiQzBqs0iQtes5xCCexqgvrQpauWBfno1qu61+wNlw9STyz68z2K/UvrHXdhyo6qLs+kMrxudMD7ZyP6P7U4GEiiyomDXz5WzBmi3SMREOWlC78g63rQsoLPv7cqcjp4/QjZwHn10T+u+kHdisjHo0l3m2Qz9BCqRNCJtqGajGmzztn7goUdzIHZQTtKFjaPWWC06LPWXnYNjRG/+/CO2D9rmLj9atkRqQyVIjyCk6dsMB2mSqQnnClvLO/u+46srqQ40IINd2HmsJJK7ciTdHnOQbkbqpsz9sxdc/JgmWgBWQZuCtl5oX6N6QzppniNedVcHrZm6eJ7LyK64v3h9U5UBT00IYdtD18slC1HUK7QttZ2h3+USciB9Wld5ehh59r4fGRnCeobkxLjTSb5CrAnHea94uMcEZ7Lqol9kUIaDvXDC3AWNNh+EjpD/TzZ4jv6F32MPdQ28KRoeUZeXc12H55ERcI8ZymUMp4f6TTJWSS/E3OFcP3i8w4KsNKhtHKz4txWOdLSVRYI0a0xxTLVscrOgrCg7RxAaN2ypQGj35kjF2EcNa/MvoV7cBYSm8h3E6PeR/PK8rrDlKamygEmMvZcNY/u/4LPhfyfHhMjfsnL76LFqzc3ElL5XNOg6rOIir3qO/8mZR/kj7INxyjIjlIUqe03OXPSM0PhPRK2Pjr11Ta9SLWoK6rzDtYA3+Tfbd9qJOGDPVUjvNvLXfVe2YOOBROH9cGCGHndFa6ALqkNsHjSaFR15nH+mccJExeV93KfwYx64jXegt8J3INcl6b22wTaahOVTd/qvUd+C6RLgnkRYCvY+TptA4uth7ZGs7dLyadm520Cd6K362MeH2rLJFl1PylpTCnlF+nIYHih0XZZ2VZ0i3LNtZixvjiHMvM9aIJykiVZuvIhZeFp7c9tMkISKTIetg6NEq/mb9KtWMXYi5cqSQ8xgVJJoLgCxL7nnPlOV26fLdygVisdKpyZAW4/j5xtk3VtmCbZUmL1myjzTtGiKjbjg6ZNG/uIOUFCSIelSDpztPiKwD5AfG+PY3DMmVdPCwt5S3t386aF7uGRhm2fUaKF6mxNUony+8KvLiuC5sGiEeKgOZlHr/j8zi1x8rHPqO5kzdoc3TyptDt+Vq4t8uSZoRvxGqnhmhGj4cV2nWdSelyMilDXIUDPWO/+U8rojoTX42GtJpzHL4BwmmQtKIjPqX+u7DzCUWL6PUZahZ1gz6jc/I6rRoHdcSH/WrDXsp8afyEXXq0Ex8gdQAl4xBPiuUCHylEuSD/dJ1Chqi5zd+XNiLLTqelMZKfo55sjbu2qByjN0Vz2Tp1Gvz0aae2MO5hOM6/eTnduXILERG12DsJY5brH6IFz2MWzaLeVxj/oijivBDvnuQz73NaUo7J3WwedRNCyzWfYuqfWZ+Rd/Jyaoj1cRy9ltxNjrKkeUs3Ctmvx6DMlON5suUK6bwVYeBo59nw5rQ2DD9U+rPgc9m5k/phjWvbByLOv9naNfwt0at36Y1sLOw7lHMgP7YpP+MxRccx4Kx1P3LFri/dr7obeVZe5PuAnNha/gl5AXhnTAP16/UpaZY8d6KwWxnxfih19SsXqWWqJj+lchT/dtrpFCwKOWHe/J25NDxWcXrtKeQ0IKNLC4+C7AQKCxgJLkinYqB/9+0badn6HSIP90r2Ok/TGRTZBwKLrlsImY5cQGdlbJrFeNMEM+78511SYwUsp1MyO0kDa8cIkix5iXF2yvz9t2+kn92ywtSp83uRGu4Od3yA8+QuEwlCVKTZKlhafqxI9QHS6fQhABlpoBkqKe1qGodMmYR0jga0a4uEFA6dlPn9d4OEmvw3NIwqrUK8n7r81NKS1kbRaTBkQ04Xct6zOz8sG2DKdKpThyaiT4gF1PoUGKINKDFpHEN+e2M4/41GV6cA/wSqNjT5EZxoZKhxDPMSRl4w4IgcII9IpgmZmKkfOkEsCWZMBS16frA+Jz6QZE7cnSttXWGdirB9tXbDHArN8fTg6B5rhU85sXUNHP+xf3oNIgcGpffVVjRwoLWH+ExoQs/pkqVpxdwNp1cVJ2dtardgi12Mv+lrfozwRkj1OwrOvYW6x1g/8xfsBj0pOXWg08DwTHvnBLGxausCoi7JvwXtytFSElnjgqdl6ON902l8BzqncyGji6MlLt5T85eI/uG7c8V7NrSXyVAMQDq5pgHJCU1gxQYSv0LymSjwX6lLalpCfTyPXJ8qzZnHns2AeSfjH130v5zx3+09c3Aeo7/aoY+qoXmF+lPCZ0BeKFkQea1YZ7K8oN2TJep9Cdmqx4VVUIsPADnLx30isFsZ8eiFaqWEo04Yof4sWVUXqz+0reaE8LGpiaMZQdWOrocvItUHpAAwZQQZ+Lpf3UJ9Qjlv/OoAL0RtlKenmvkEfqYvL5E1EU5TC0tehCUJdJV2JYhKys+dHLODYXNZz3T1+7qzrqdZ968Vzzjt3s6srpO3HZ84tGgDboDtLPJO2LPjTJKr8UfnXRMplikjpU4DKsXOuKQ5Z9cXbCfQ0E7vnmJ+STOnoaXSSqJ4/wI3RiIcpZNUduy4kOWQFx+d/0LKrS7ntRd2ORGdJe+8qjO2x5W6GpFU6D1z6OgqodgoGtJULczaKMkqpNIY0uslUVXHAee9SzPupZUZug9op7AKtw7P7PqiTrlcCKXoA0htlZ07RQrLu0Qdqi7UUJxPynGB1zVQtKkUr4QbVun8o+1Xu0wXVkJHOpFY90GGjIK56oebAv6m/ko35dfjA9y540XNmJ3gkmhgQB1HAFGJpr1MmuaLqVds/MMOckbe5sZf92HMEQbI6RV1L0UTSsvRYtYXk0u5CEci5kRx+KgiJa7nsiztu4ERCqEc+DIQyxP5nEoTDiyhN8roiiTP7PuTYkzJAva34acuz0gyK/fpvKo9SUO7RDQgmuUzpJNoOqs+yHmsdaiulwdyfloEvSrRTpT4KndOJNuhYHVJhlqS1cdSZkuDt7tv1wRrlwIttvpYpdAjZDlsv5hibA3qzsj3poEc8ehyPrPZxOrOyVs+R9BGwURg9zLiobJZ/eKzYqUtpz2ChHYnZLr4dQR4MlbtC0dnPLSDAHmo9S5KwfJ5Z8uC00B69PKTHwtp247NI7mCHM/u5SPtQIgiulAINfq3eW+qJhkijcqDh6Q9dVJgivrJ9z4XBdFdD2+htVuHQGnVNCaFiHwDGJ4rApUEz7vn9OLt5Qz0qjKVBmjPGvhAUamzE184+ZHRWqrn6VkoU/16N1SnHWcpNEJdurx2Jrkh35DHyF+UmOSrFciiDjV+8nJEQIN5p/lxxJEGMk3mt+0ZGoDDIhjv1VrSzk0mC6IBJ2lwozKAppN29bjhp9pjyoHvQFZ9JzZ3tPJJ4Ru/VrlrR5mQD5Pkxq5QXvQ4lOhdpstUU9uq/gI5SMpO29h5wmlBtId3yh276V3YecXnoTUkeF26z2Uso2kIZ+PRWvJ3mVPfUZo+z893D007aP6JZ7JN4dhStCOdIdGH+xXmDh87KuyrkGtX0sZ38JFxoXeqR8fyN9AiOaPHIM6rIm9cFxnaKb5f1R6oC/EUVz/lDgjlFBFOtoyTR/B2sF50e+hYGe+XpgFFeNi+oF1wwOAMLbZW2y/bnyjfRdF0dCOAj7/rDM3IsXrHLtK4Qb2K5cml8XVahdPn16d4X4Ivyny8nwOZY2WJ13bRMYDcS2mybsQzYYQN4plaxjFiUJ81xPvWTra2HBfUBwQvOghFf/QTu5URjzXYCuJckS4GJoQ+R8Mrdz2qzoTTu0lI+YFKq1r4hahb04kWDaMJCMrUL0y3/lvDW1CmbkanDiFDoSpV/7CHGdOST0V3JugdiIo+7KGrkPc0Jxrsrz27BQQ6qw3djs5/czR4F9shrzVPQ6GhqJ1oIPE0JQzdkFLinst8O6bvZOc4HH9FExH3xIL88H2Fuli/1O7EaAypTTsdAXp98X9ppZqj1jEN2C/AN5RiiZW5lDe3I4nHuIzlcnTyBtG8N45FptCbulIpdw3x764PdEJmtZdc30kmFY40sXJrKfAr3i/hnCjqr3XIh2M4vSKS5BoMdZsQT0ZLrYsukZwwaSA/kDnJKOuQjZyaoTzQfORa1+d/ZR909EFsk6p3pyN/cmsjqw9QkEuFeV/oayb+TrxM62aUoDFG9OkGrJNS7lCn52EnvsZa1/2KdBbRsPSjnpJDRm+clMScbCx/rq8jKJxeOcYCP5b6nMyPjIyULi8Ny0XWlGWqyzsi1VI6Bod25mGjBMxVzm9Yn4VuyAykbsdqtLNMz7mWVg4ZUORmKsfq1M4owMNSn8mk5Zxk3JkXnKg8hze3kdNW8xtPZnXTc7IbNWSdvZxe/Z6toykTPWaYBW8Pjz+mLyzy9KPHhdfhORY175T2S+ifaE7W7ayJxDORM5VB8Yjk5Pe/lKT5o2wn1TmBG/G7lxFfa9eRKDI0vWvDwZWSOjeSd9t1JUqMEJkvyCtshAd5Eykw6gLWlfLnBQrFhQhocExZToOpMcOEONDube0IA9UObyZnJIRy0ltu+6x3ASTzsu1pzx/Pj+ZXELoB+ixm1bZ91o0GDm8OIKHIGROvTxxn4HRn5ihLkmuJsLDHxoKdjxpwXjnMHz20kROlyV5SFQ7PhSFSjvVa5xXlvORElAy/PJldhJrsi2ratGfPwlLcBdTl/HVNRuGopcSU6JltBxklupzIHw3gyikRlDqen18gqRWpesYMf9+lSksOnfgu2S+8iEn1zQ2/RX0oQoinpCkaTwXuT9Umkxdtq+jJaIDwTPaLGz08TRtTnoPaKKtQsWe0AKeGMH5ZWsmINwobGCPtTEUGn8d33CgamyTWoscj9HyiIPMJj21Fv1yroe7g6ND5vWOHcA6pd8wdA5yfpt3vSHr8jWvQU5g7z0adCwW9CCByxhMacGiuqvXF14THw8IzuImA9L4Mj0hjXCR5BPi+ngtIP8D8Lb037Yjnn+/Td8MEx0opnnbKsf4Vhk5LH6NG0MnnDlxf8ReNfyjHeIpax+hohG3Dzku+NnLyMwDNf9iHMkRXSfmcg3RWalsl9S/uxBv+belDE0TPcSSLdZ2yHHU2Cuy65gOiSdB6O8+Ooqm1AyjJZCCvRf9YO8oRzze1DI8gO+79xG5lxLu7Q+wRUkY8BiNZVqb+WI6/WNk2YuLGi2xyKGVE/V2qPuTy1xM2urz1CCJo4QvzxF+2GITQ0CGNqVwQ8nV2BruFelvaFS1cgeu8HOjFV32QdTqMgtGrv6mKw1rzczrVmU8DX0Ji7aW/tVLXXRhiZT8IQ9hnyDjtM8uo079zu46CzkiTTTOhcYVN48/FWuhIhJDGz2cGJTXWpc5llbxOZw12c3bl+mUUvQIYkV2Er6avBeaeHltErjEomJGMok0CWqAdAmPlvV++6xV2/uw548RHAt+xO2L5S4KCTEAKAJrbXmi+UA4ADbac5HMxNJrlSYpYvfBWdNTM1AVoCGPkK66FSZNrPTivwHoBBYMc0LupQgmPTo0kl7R8l+9G8zKZR/IINYeQ8sj6Yu7RCWuQjYRZu2DHmkNH31W77ZI+n2bguAB95rIK0RLGNOckCjylLMF7Vr/IUYIiw9DFdrafqQ9IZ9Cfu9NOg8opkvqenaOM11rHFqdL0ucep6Q0ZgH6KxzcmBS6RocRIJ4ceET2uJB436l/SVfO8zDuWDGONx6FoP0qjJdZPmVp0OPO2xT5OwZwNNSVLBZOW3WMgTiZYKzCOCJaio6Bmng6Xi9VOXbRn6qrHRc2Gw/2zlMfAn2qEbK2RiUHlWFq1rO9M4H3De+2B9rtgOj3VN0rlHFQxXYKOQ6gnio/m1c6TesfnAb+vnRfAN+xR6Et7d6nC/uB3cqI9ww4cyMxSS+oPjPHd2a0Mge/C2gEEMUdkkQfEsgyDU5AlSaUJqBQeUa1ZwhAxbzG7EzMBPXPKgBWOQZMXChCii6Hdt8Iygsivbh5G+47YY/0jhiOqrDMxzsnxeu6YfF6RbstVyd8FhlGGsiplHbJ0PtKBOtIBp4nKB45Yc/rMufKya5F77OScoe8VL955YDPOV5neFQoQSmU1EBXqdorKbbI10s0/tW86NXYcp08StHgz3TIMfKSc2UV0RIfg7q7KWC8P/FVCuVF/goh6hid7c4LK8neTq+dQtzgM3Ty8VC/xLKgd4rOHqbKLB9IfageenObGL2xf4oftEp2Zj2j2AiDBfBawb8B39Z0aZ4n5ZGsE/VLOjLVzhal928NK7ATz953Tr7HOcAKCJ5ZVP+n+yDlBR5/0R4opxVYuInAKzHlqnfCjX6xq9zpd0ullYwyPe6QPm/tdt5F4hGsP2XSs5DMTzTK/svLhOV44Nvpi065VI+RL5qXZfplnjHeZ9YE2Qv7kOFhx5+957ZMoxI53lK7/H4PyQtZfkr5+W/OENPtVHxb6xGyTg78xZEK8YsBUGaRScttgEgDE9SljE+eQ++WE0pD46HHKhFjaeHrjvUv8quM8apbJAoX26X3bDpEkq9q5zLsF5/jKo+gALxns2YjDcwBQTqN11nm01QbBNLqHAHDF/JyR2Mh0uQuOsW/AyzfTmuIVP4Q8TZR2K2MeD9USObhz4JRApk5Bc8tS/NoYL9aOPGQpFw5vnOqz0V7hl/1i5VV1KYXZo3KeH1OdebTJGPLGzN6UQdPuDj3BBRSq3QC+pRAKVB+8d4tcgIW9jXmsZn4DhpUDkgK3c07Rumks2+uaNC7O4Ie+bDWLmCXevSZxTC35S6UYpzi3eTfSaoTj1Gok5fvqoyoNO2p12mmHFmjPCjMvLkxZz1rxYYrlt5Y5Ywt/qyO8C1EfjseCLlLytplulk/pqk8/GHOm6+fJQNa0sn7YR0Jlj4OPd/hcSh3bPO0o0iZIDu48h5bA/0KffacjsigsnlS3rADpMc/vDcUlcEdUnpnF9HCy/DupXPrctwifwN99eYF4gecj3InoL40LypsJJ304X0heRFvgmZjlPTy0uT3jgRoQwflSWdNubNMtosMYQ6P9+k5I/kAq7OQ9eooAnRRojlSV7CxJTtWlZwoYh/EPQWyy2I323N0IMdW6kMal5zjLtCNdsqDlNPzOelx8pcAnR5v9jZOxOe+Mo74tEFbJBkc2+D6BB5jTosGXy/BKOHvVMizIpUJbVftWAeEWIMk5xVyHkJjS22GaQaiHTL59ZLmNpI5jKWrPrC2HFli9TnpPNTntr17j+Lt9Gr+czqMTkPAWI19sI4BE1kD9O/Ut4KQHqbHQfK80HaiQRvMNhrG8jc0ZSGvUGnCUavo5I5dM/6sHb6+0jPJ75HTq5/YY8Jqnsboqth3hDb3ghomwj2kYUF16vJCDC3T8hUAu0MrFx/PD8NhI03WSPA8lqgdPflFubzsTApR2050TShn2FIBkw9R6J9jc/ak+BKFOu0OhhCihk7eP9lurJfl54MGGbZSDrSwKNizgYFQ3tLgdBkqrgFIOOn5kdKtF5PIMkcuSND5rGhwOHSm/PIX5fc9/JJGImv8iHa04FICJdVT/dViHreiICrbydhF5xJDeUlDkSogf46jkLWY5ij2OqyY14+8+PEMJy+HQhMoKI9YsYlKDJiDKDw+KgegLmHgK6WM55PREXj+c4Mq8Gh9dIDzqVz5QPsAN5LLtPtd8kysXEG2D2InQe/OcRpCHrAGDZ2lTUXzg+9gpnbs/I351dyGBl/MDy4zqyFL0vhzxZciTzQcBMgXV56x9rrdA6CNJZ4HHRcwhnRhx1Eq+1L2IENM0if7IHmzbLcoCBztySvTXEHX/FfUHRzroa7MXAjGoTljquU7S2vBsQ102vFATsPc2ue50E516IPRuciOUZul6d12yTu89YzHX+QB+lyYt2ZeFczA52lFMv55nQHaIAvjZ3VKiheGyt5hnsk/j5f7ygLuq6yb/wOtiZRf8jChNzL6wt88giJ3+Z+rY4B1mjsywvNHMBoCTUjeIsM7Z3PI/BTzGEe8JQWusyIISUp1desrPEbV6R//rB6X22bugD6bduF64e0p3m428uwFgYiG5OjL92uisFvtxPuh1NVvEMzh75Cmb54WjIk0U6yzqNNFc1oIwl1HsKuXjAy7sPQiSP1iHm0vHNOBFNZ5mkml1QltLsEz7igJ0O9LKj3s13gXO3SDRQWjMGJ76UGh8uKweFt/rFspFd2GXCsFUSHiTgbHO1GWJX3md/fEMhxmZxIJXwLGuPpFiqimoWoPKNiqbvSM72JZQcTfjVJyUZ2qvHhGui4QJhkZtloLheQR0YZndIbh15cUSgXCCt1YhyecQrsgDSn2aB6GM+CqWYqhueA9l0gBEHXm0vLjDwUmOFJhvP9dhW74TWd1tbNGKnVFdlcj0mLmaJqHoR29W1blY/yNAv24TtQHcwSswLToS5BKMB9zsoeHYlPJnHmAPmiI6fpVfzDf4O9ZznfpTLV1p91fyfeD4hvlBV+rJYnxkXX6od5xbNV4IAXThgJLR6HyZ7ExSAYFcrJl12yZZGObd1blQxEChVrrug98bNB6k8cR0hzSxn9cg5pONhfQ0QhNCzoukNI6v56M5PRSoFnWjcsl/Q/VRST7D6Pu2A3tRNIQ0PwNG37pV/Ba5bwp2GQrVF1GvutOsjQ0hzQvCmuj6gNbs+FdhnIsTUOswZyzMY4ZmwOGLxYmf0xjlXF5G8aE7+gax4+mk5guCvKYC0YF7yTRHtcxAoKTPRjcuQtD03jINLmRx/qpeSZrL/a1lOOI9X1nnYB+GZ4O3rNonzBPqrPbHtpEtPP6+IWwpPKjdRZlMZgYnCc134nvE9LGmJ1sOjyYM4UyrM70Yww3JEQRkICN9IHFbdMQ7ZImeQN6mkja6EftmJ0EkKbbzdWl0wTTIsUw+DEBpJzF/qi6OKMBAk7T4IXae6FupMYfCSQ8nvLfyCAgLnwDLW0n9Iyssj+miN84OEKtzoUyrXZJ596wTNIV6+S0qT5yoZgxdEjQIseGUyRel1JWUb9SuVL94vnB2xDtkYXdVUIKcGf+C+UsQUcM6DRNQxDsoYxReoiMAOMGRKI95Lc9cyNsXN6SXxOiX+z/eVoL7KK4l87weW8SWXsZg1EaDqUohnZK+HM3ZBso2lrwa0Od150zjrVjIRhIAW02HqHfaZ3l37OYQqVSzDkf7wgadJ7U8hjTXK3oD0mKHD9k4MSdLUGrbC8U4w6n1C4460/J6YDkRVAcbbssOsgY/0x5VHNNHvNi401d1pkeH0Wf7nMw3tMcTwwUvhNunGWcUHHukj0TH57zCBK9iZB2pZ0+MwNd8pZEfDwGp5wGQl6EuuL8QGtC1c3TFO1elE/JBExWTwJrqWAvSK913pAbpal2ATmtaKMg/N1ic5X3SxqTZSCdSqqMChz+bNuryqmvVBRSvuu62iWPOoudie84Gvgg2jXWyd5bkLe6PzJqRP6GPnFNs2TPAi/Q99NwoxZ+flGSKeWG1gvM+7Zf8cnpolCPiO9N6wqmGeM4Enp0KbKK96XnsWhHrwnGq7XuxPOhdwM3s5Rs5PN/oAjRPapuyATxmpD9SxeaWmd2p19d+A4x+qhDvwaXRxOB3cqIN4KBwfXgspcd60ITNsMAc20XakUhAaTpg7vtKq9ghmyFxLP7mXK8TnRruUOeW1dAC4yVWTSI9KgspVQd3l5khZKsy1OKOX3aMyqEb5Hy8LqrJMVc1cggwYryh36JNEWDcAAp7eCo06+m3y1YRUT2szslqwsJa80cg7BBxpNXjogZT0gYGmMchGWTzBPaCnTxPpQlE/beYgd90Ou5DJ1m+VJVNhog9IfXKRWvQuS1AjZ3Jl5ONu9YCJyrkWJ5lhPtCMTw8cL2WSga8Q9Op65L1lk1mp6Jeli5OkYQ3nXkvEXm52hxpVGtVp9Ha/qs0lmq3+isKuR7trSnct5OtxkjppgTqXnPaAm7xQF8Z1IboaYCRTvnX4KWMvEI16ACPEXveHpHkJJzqLQ8ib8TZRQGZ0ZO6S/4AyK5JuLak3QSUVIs1fvSBrFMk23wdnIKMJdvIb/ohO4QJX7Ik8yaYO8X7eYFwIgX06ztc+Cjsc5C5Q8Gk6rDRAWQpRMZS+hyer7meZ2yHbmmeJ2AFRnDSj/TtHuRAmitB2jdRL5TuVtcyaV0kd4AWwB8jCsj3Oc7jtiEeks4OhZoko7MxO91mvxaiBp/NQbC4NXzETiqxNJQPInPcbHbzurh703qA7LOYHCL9cz4B/9F5UNb0lHY6bMwaOX4CcNZyWtpVKd27Z0CXDcpRF12oxLPUXs/UNLD9HjA4yRsbeiIvrYaY5kG6AxVxqpL8Vz0XfRBpQHeGckl/6ilbrvN5s5EYLc6E+/twkADUE1i/is99fINwZ0ENYnDouFCTQtRJNDxDrlM42U5IwwGvGaOHF5awH2rt9G3Zi2GHjOEJGC9PEhqcAGkhQxiWrLPvEr/TJnME1ApmJJRICGH5pUX7cCNnxzQuSJt+BVFUmr1TvzwWDve1DumPTKlnceib7pfHUbPhawWHrwcV85MWmn5GVRqgQDSeZBBW5ASvmSh68L9SmmpHMsTx8PSpRsSwlopL1CQ8PBKPVhOg64CVioliMEL4UM73VrpTF7yLrTodxp4ErOgtGIjaBBrgsQzoXiBsQ3p8bJB533BdaaeQRnC6ubzcEAYLkTpvLBsL9Av56NtKRexxecj51t2lyGtm4FChXjy4dBrD/UZzrVUv3VMcZ4i6UHnLYlIRSYkWirnbSmWRHhXZu5QmmbBcdEGdGplmkd/aBkQ2hGGqcPby1L+kfqQLnfjfEfzTOHoUzetI4e15zAK0AZm0HvSrpx8b1ZG5o2nYBJovqN3BnkkhA4t52doc3Lao48/4/TF0OaYJ/2mtStpiX0WdfIx1u1w/pHa1ig7eeJZf+CklM6vtCvODfVgnIdyqN0wt7n0ig4xyr1DvF5431sqkjKMMZFe84VIi/sLbA7ovkd+ypKN457RbJwMhr8V8W/kzIZprG9E1a410imNMc77UOj2SjEHxZHdOA9lCHul8+Xb0X+L8SiBkUtp7GYoXcPUqWjX4+I5EojUQIJH1XsOen6on/Mm6yzgeTnQJ3x1v2KUGi/HX4Dqg26H69/hV9ghrJ0mnL5PqGNoIk992LUR+XlaRkmSAjkxwJC3Yj6cYXcXRMgbXy88ngmnGqGuKC3QsGLjDrri3jWij3Wgzy7LugENLC2/62XHn0Q78hEKS0uKUb43OuRb7DByJh4VRNSv6iVo5SB3vtbuAqY8gcHHMzmA9vBorCXnI1dyPWWTh27rvuodaKTkUodGvTuX3ZWmpExYmtj4Z9YbwXFkz0Bdgf5ESyqn+4wcfSIcMNM22nlu60nO+8ryROVF8QY0U9FuLwc3huRxB7smSPU1POLvRoYjy7akwqeVM4f/xF8rMNOFVrwdmV+ePwX1g/Vv+LboOzZya9NeSqVbJKk6Sj3Y1EUWtO0YERv30IZWIPj81GtNN2eUkkI9i+Tmd4f4O9H9QncYGGWJ06cMD05zME6CwocU9JK4osjbU5dxCX7VKaPGptVOBoRn7Go5bZwUrJ38Tnz6zSrvUcmXadXrt3wj/N1ihnMwXu3NzJL2sCEg5wf7ZQZLxXfA+y6TrORGCXd68bHKGdWmbQUvrFjzOTxmdp3pOYv4aVmyuabo1PQV2TTdP8n/pKGe1lvcESdbLqxjpOvldElpzMi+hz7oPsc6VV18x9Uc02Bl3c0R9e+qHc2/0X0KvD9SFxGRaKWWJXlnVIrUTXUnehOM01KkqXlCAGWYZ1behvoFz2VRDrHdOAfky0R2DNwwRDwMyNFC5UfrJdYZ2xNdjWmBL0ZdSJWTF2bLurpFRYd3aqKt2raE1L/lJo7gi+qZXrP9xm5mxMtfmSaZHRI2HCiMkE8ODqnEpkSr9OfLaWbOBYk2Mngrsg/1BAr/lWmKPtaA7XOnTLvMKi8VLbITaJGinRWzo1Nw2nXd+Xfj9a/Kb/uXzk+qdiKd/gUgyPmCbvdW9pQyQGR+vROfSwuMJ74fLsC8OV5II9DbPeftxL/Zu+EKKe8XXJeqbhGmB9oltcOC17rsH69MKz25823aCYL6oAU4T9Nn7cT6VMoLL+crsrbdlFaK9arLcQMid9Y/PZP0hR1d3R/+7zydeYWPOxSCccH7g9rjdCGDPd1O7/ObUE+UBaTTHKdN510GJXCgUOOhDLG2mlh8/uqoLtkeCeDzgkH5wTdPh0vREheWlYq1xMrkZIjemdWh5IrbS4cn2D2Jyp5R0KnjUChIr9kgk0V7ZUkDA+n8NVFhZUj1WJRrt/nc7jxjMnJgQF5Om3aSvXnP2mV08pB5bvhGYwTwWlFHKfluSWTmaDRiivQrj/Qwg7vwHSzGoAL8MawhycP4GiqEzhUcCFi/qp55Dms7V+16MQZdwfuSnDauvmj+sGPMR8OL5CPdZ663hLnWRmlhzAAPLPX7iysuzgut38rjOKDTMSV/fp0I6cqSBh4xIL5wkmuvdJxyaTlnKeZ9DcZqydNSx0w5aYgpWcV+7Z0avJxsT2xosHlGYC1q/svHQB7jSU6G4OhDukLkx/wYQ5HmEu+XieLg/WK8KdQLo5kVzSiaTjhKtM7FxszegSL7wKF5EpKfmlfItFKsCc3DdH60WcSd7c1OfJ+QXhoSAowJRcXDMk4rFPOXOom2NfNhFZrzWGDCa+NaKJ+qX0gJ5+W8MyF6Acs+yHL6chOEF3z6crp31VYi8m+ndyMMiCJD0+WqRV4Y5hj7pQxF6JkDC5HIMknRLsvqOScEAy3kTcZ88OqNv8zD5yXuV/WMf+qsVDTpT25J2uWa4Ma47Jdsz1VgWTtIwbe+DEwLf2bDmAszV0Wd6g94xjq2ZcebK3racOOwcybtDHjfiU/zg5/xLUx+2680HkioceeJVoiiAqAEOTeeojKt1qwW2oI+Vo7TIvuJlANJvzirWNg65I5d/t3zS6C0WEX5raGuaOflNW+nNC88p5f+5fMX9QUp9IFYza+CUSQVMJmHw4/Myd9iHeZOwegSa0iv46CwsWe53RP5vplMiARyGpJSZy4UJPne+TgEvhHmK1pn2snALx9F4x7pj84KzDuDws3bLXi/Og94eLbmSdyIkAaEalvNmYIKey65RIYYWh3KCRBpSnXziImUn9OXSoS6rNNLzt860Slo5xRF4VV0YpnM+bboM0njOL1DNT/KkvHa6m/0qSw+NzXCI36tTaA3zAsd9Zd4uZR16by8dVzo9gSfos5FeELOyp3IVmZ+hHGI5TpzNxg1Yu5l5pykBf/yf2gnbKjf5O+ki2gAxlTQugn1DRRp3ZCiUzr+0/zn4y/by/NV62QL88Xqw/wiSk6ziHqiNN4hLRc5odeLiFpg7yvqBUpfj/kIvEtov+Ttq7iWWAFOZ5hPqbzkSaJO4n3AWgDnw2ktyXmFLqAVumRMs7pGP7F7nYkHappRnGOCZWhSIHSeUTAcUgYYLqfKhYnHX66roEchxZ6pNE9BJLJ9hWGnSnkkmwSf6bTw752jLdo6NCroFPlUfuRt5ZUjZTr2SymP3cbD9sW+OOzNTIKsokUyr6IoSb9CJIi8Ma6Ug7xRqJUtaeRK2Ivt7HgSBaaUHsgQeJnfOjwU0yoSHbxefrbJ9NmZX0gIa4HnlYft8WcxLRGjnQXaWKBCvXvVHi+mBaweP6Rsttkc0+sS9Ysrc0Y0lVL5FHyHgqCsEniaCdUUDg/2TjO0lLoxknPIOm3S32ldS2MPCUph4LB5G/LrOabnIVfY9BgjBT2sdUGnLtehq2CUhrkjx9iuXW9NQIcAyZBcfdQBOUClkYHbQ0cBuFJG4H1pvlEpyrrtUMZekKYduujiuKCA8TPx6Z1yxVTynZKI9Zm9EzbX+HeudVqoK9AS7xRQyh/kj6oPxNZUUtAZb2Z/aJmD3leYW8bwYOOn5VJwIKQxojhGvA7tYEnn+LGDSqxdpvyncZM8k/dLaEWif3neh+SEfW8pLw+z5vTxI0ze589IzQ8u/2B0UGeu8KMDvF/cSNY8doDNVSopzvEqL2uP0u5tuzMZkKwL66NE45GZv7wOHXo9wA1hqNOkcYwOjVBXO427FhSGDwuaU3u5+3oChF7D+G9Jev6GuZ3GRO9YS/rSbzLUlWzN8Gr9LM0hKScQ5Pjzd0+irB4rPknF2LKGtDGe6wdkJ2I+aR1D/kpZ1aGpnd4lb3egYHWylwCPMip6XR3bSyPEI2Re3gexE6/qR3pOP7Fb7cSTmoj87247n9wgqdLYyyvk5EIhiTrNUw6S8siZucwLdw+j0mrbS54sW44TiXazA/TZspw3V1UZ4XlroZHAfoPgs+HLKVwUvd+0uO1is/2z5U34PuunNmxlOUlnKgMuAiqTYhnLM6ald6pC27zmNh8shTFmxGtD0xsPpADofsX5WMhwQHlGEChegIZSrDSd1hkfvm6AUld0pEdu54k/ixEzQGeMpViat3OJFUv1kP1TfyceZfOcebBcEHgEHCVElVJHpVlhUehzA0KNH5rbAoXK4wlKvoZAWdRGUEyLQmZAc4ArXvq2Wx0BEeiRSg97XmilDJQ360QKdLn7gsY4lSo6DWqZwGnQfDgkFqJc+s3xQB6iSCqPfJbS7NlNzd8wP9QRBXiHW9IXKeMGNzdYQl2cRxDFcF1NSzCGjCHc4VfE5hhW2OR4ICcI2omvxiXtJuXGWDjZVJ+jYRFlOOeLei8t9TnWxWjW/dJOw7K0Fx5agwqvF9Nu5C2ytylMld/TwcffyhfUBy2PpKNbzW0tS4jzzFC3HU+uq4V+BaeUGE/EP9hYBR5rnfOUlVmBHqSLBlr0e4iOGOLvRBl5rM8lrwvw+ypRtpMMKuYADvQFo1qtBf5O9BlkJFQMH+bzQvFVdHSA2HiQTmN1yPnP+6Fp1/SlOcfHzq7ddI6dH4sBXYZ6vpAPXDiwfHq+y7P+eSB+oPuXbB88HtqJRXEc0iWGWtcVfea8TD/r9Ivvtuspk5ypha2T9Q/pjVa+q3EBPCzNf54/tVGquiYaU27En3rqqRTOD4b/Dj300Jg+NDRE733ve+kP//APaf/996e/+7u/ozVr1oyrLS+k2pzLIMvQSphfLvwqDTZu0vREsL9WWEGPj/o3IdrZIkfMVfcL9cEqJpZmD/xGbq3IAFkoF1RYgGzBhzQbMujVZekKj3S4P1dU0M6/aSMwL5KMgqehPghhT3L8y7I0777bcRCNMR1OT2kuyPNZUpHUoeK5MbbHGVhaEeqS7fA0vdPN60DlUp8VnUpAG0JVmpgnijfo3QZUrgD5vblXCbTq75aaH5A+PteUAMsdn0g7ZCCNtycEnlS4tcLG6+Zz3xiToq9pHmulEzkKkZON8ysdTm/aCwqHVjTYLkxRSB4U5nuVZp1lmGemiWXHmLebaEFKjHeuXNdl0jq/NuILOQjBGV/SaWztAB6vjZPc/Ig0CAWsM+6aH5aV8YSUHhu+zPqux5EU32HKtKA5/JvVicY4zhnF5+QZ9epZlD2MwpwTPNA5oJlEJMaRK6WMDtByN+oRJA3gUDWnGUkJPqeDw0R/k5liny3tSE/i4dZcbqT+VDmDrCw6nWiXMmopyaVUv3cmHoVSm/cseEUK19XjI/sjumz6THx+sPLpXHOZnNC8riLVj3Wuqv9p/cgKZJi7DMtGdxrw/kA548wT27+w5muG08f5adNgVFbMQ7EdLl/i/GJ9JpVH16X1N6Gr8bY7Y5nTuQbAnEl128ih0JbQoZROI3mhmigUZAmTXZoGNrZ8PqELUDX/4PD0nTQOav4TG0fFT4mVg0eCBD9V8r2zYNJmqW0HHVGBG3KqP8ihziPMIv8gMnw16WOlKJ/Xj/Qo9w9TbsQTEb3gBS+gRx55JP53/fXXx7QPfvCD9Lvf/Y5+8Ytf0Jw5c2jVqlX0pje9aVztICZpvDPseXpnyXsaXoXY6VDKrfFgkVXYSpCGDSSVBiZLKWjRtIceMG+mogX1q9sOmqY90SKFtUwzVcaHfNx1XVFR4cyxLdN4/TiKQPYBkdJGYwv+Mmf9FFNBHrrwHCrFADo8iver6jP+prCoo/NsrKVfRPpTn3tC2dKul/+ZH/u+0zoQRl2O4RIZJm7DmEubxtqPCp/talZYifxKuAlhKN4lON/G+kxE4uyyCIlUaaG/6HiGJhaFMcc6y9SOeZclUwCCABJ9lTtisZwqL2mh+BsUlKzizOsGirbqJizHRaGJkOHCWqVRoI3YO1ANCGOQVLmiMHMArjel2IQ1GqIjQp91X9vqdnD++SKoHGcUS87buXKcu50+znFWULemDZZUkxp/VkAo2sEYVHyDHxVBaabLsV+cNlmeqIzv0YTYRuKYjFQ8KSjtA2occ/KFh16bcQeKc6BPGqGJTm402HBnJevMyOR5kTBU1PzlhkD4dJVnUEklXNdpZUlQYHl7Je9fQWLOBZ7A+5IcwXZ+aP0IHgFTBgTnI2l8WLlAp9K5xHhw+sI7LG0az4/0pVA/P2OtoyWFwcjnQKn5FrHy0qEjjq902kMGCOf3xOrj/UvHVpJcQF88Mqy2lOPO28ZHwFif9bvsjAuf49qRXnI+AOWE5O0l7xfpOZDkZmhQHEOJGpLltUWoUI8LWWh+KvXF0vSZj7GW/XpDiMvQnPNEHy3REDypSH3mR5XC+xIjoXiZrMuOcZpraY7nosbCuMhychxT/7QMSvNefwo2jllYu7GytE6xs0C2jXTefmJanInfY4896KCDDjLPt2zZQj/4wQ/oggsuoOOOO46IiM4991w67LDD6KabbqKXvexlPbXjeYq0gg7zw4XYfcdOKDaKYUiDBdDs0ElxkbIFSXlDuEMKmOip0vC3tvsQfWHBzrz7EXrOk/eP7egJGxhbElJMAVN0clrlIlDvhNNUpIWukRiGZGgIRuh0K1cUIq1Mj4zSI8Y/0q7SisLQIMMIHdrhs+op34nXShpeE50+M8E8MKDnlfwlZahEw1SvjY4YgWHFfA4oBYOfS7Jn6lM5EzEg6lT9K63n1wpRe2swF0QyFLiQfSYJ/m90oaDuDzcgSAkp/L6TYDHKBMlzkIVKC4zBzF/VXgHSuFKn+5AN7WflNZ0B1hPO6w9tS+WTn2MM9KJd6HZ6XUJJyvdZ8tqSl+d1xj5z2jPnT3WdhJwvpTkS0FZ9533Va0koKiYNhPYGHo3WejKFgTxz5CbrY6yTGYPWAJP9FUadWOuBP3I+JSNRpLxVsi7+Kc9UojPkfJTQcQRNH5Tlpb0bg6eJc5eFnhfSyRb7g9azmB+FKMvbLkjKzcAPU7/KVJcy0pJya2VyMgoTP9S0B+O9MHWWar2RqQNvMKQ+hH9bJ1Ean+xFmaBO3Zq+qJLLOOGwC2uP0n0jKEIj1IGdBfI9S/pKM/+DPIsRDWpeRv6dqzOjE4p7DSJP4fcisLmqx4+/k4wsgI4jxXdIOFPR/Q26z7adeHSmAz7XzHsm5RRS6Z5DXbRXpL5z+anLiVB70F5cL8R4LfH8ab7zOcM3p4LdIR3wcjy0wzqkesd7Y7sk507grYY3EKiL08nrLJiuRrxfrA+Fepeq76FeJLtSO3K9pHmcOQZV2LpgvyDH7x+mxU78Aw88QAcffDA9+9nPppNOOomWL19ORES33XYbjY6O0vHHHx/zHnroofSMZzyD5s6dm61veHiYtm7dKv4jkgtLA+4yc0adEohIKnP8ZfM0VcS0Yw0p+SvpS7ToOnkee2Yx0IvoZDRqYysjUBAN//6T22nD9pHY3lirbcoSyV0lFO6f6rTjwYVTRbsUGmJHQSkV/G+8S189awnlH58JJCIgbPS44M++6PfNadMMvi2sDEwDEr4dAkTb+mI7Xo/04su5g3fN7NwRHWHthix6R0AbZDJ8WVUJGK5W0N1QSEfAorp4+ZxRws+3eTuzcYxA/+S7lEZdTGE0aNpz0SZR2ACFKKSZPkfhK+nhNCUHoU3jiixvT7TB6pZrVxtBsqdBqQhh2sEoEXWycpxH6IgEeG6ScLlATNFpQL/n3HGGOB6Rf0glRvwV6zJVmTkn0pSRkHRc/m5SG/r8qZYJQslS7WSPAqi6hIHP6qrmDBrbDs3EQ9cl/w6QRoKsRyhl8d9lopOPA8srI+CCsVuV1TsyOT4gFEslU0X4eGeeh5BQuya4UWJniqCdyfek0PP+W6djGJPQB+vMkHw+RCPwfNljAkrh5s/5M6EwE39PzDnRGZtwAVykt9MLb+0ZeRvnKqnL0yRCe3p8eF/5Di2RfN9yZcv1EnlYZ5Hy9xXeaTwvTcHwlu8m8HT5Cbekm2gdhdNu1iLjA3pOVP1K447sDjG345yr2mzxaCL17lHkRByhrJyQRjKKdrB3SCj9Ecg60U6ZnFZhHDh9RVHz2BvrWJhzKZOtW+sRZLOr9SIZnHBscZkj6iqgXAmk5hzHsk7Nh+2GYeS1gTzm2CkKWSd3Zoi+st+gV/G+83s65GBVJVvt0tzhobKIv7nMipFiJNd14kn2E3Nx7apxTDSTeMb1vonAlBvxRx55JJ133nk0c+ZM+va3v01Lly6lV7ziFbRt2zZavXo17bXXXvT/J+//Xa7rvvM+dMz7a0dKCkmYCNmFcCoXLpyAQowgpUCkcOUiuDLGpFMa4UaNxanUxWlkXKV2/BeEA6oTAgmnDSSNbYLkH5xYJIcjkfeep9hrjOtzXXPuW5b9vMcyz/ryfff97LXWnOPnNcYcc6y1f+7nfs7u+YVf+IX63d/93bdj/tZv/Vb97M/+7Pz/F3/xF6sKoII15rtg49XZU1F9zBsVoaWvkrJ8Sy+Ve23b1QDPOQZfH3tawS7VIAWU+4vVyE9+l+eMrzD6/9c/+n/XX/p//D/9ogiKt+PL1h0NcaX93AXE1JGA+S5dnLvR8CaJIU25A2cOX/7pQR50HvOei/5bIvVVYtPfnLtgDOjvgoCnJ0wUk4Y+7NnK51jP/24L9YMGjDXdGyHvppNB/kgALAicx/FoysVfmAC/W4A47efzfrQVti9W+bPZVS77yzTnuZt/Iim5JUu+4MO5YhK05noSQT87fPBC57uF9JWHC+ZWIcntMW4BeXth4DWc+wvHuxVfa8Xih7hz8Oz2aPnaRR6Ureh9E1+2/IW+m7+Pe2v/fN/Se8olO1GMr5AxF3LOV8hq+4KdPHvyJ74OObzBN5df0GJ+o+ebj7gO/zxjfs53aaVeZ3z+nORRTBwFiMb7dV+kFZJU6o++uuOL3kkTnShshTz76yzgvMZ5rg9flR3WwZfyo9tjgIFpz3dM2VMHSvBh45f42fQZL7c4+Om0OH6XnRs5VMUjLeuwyyMJjzG5iLRcD7bmecFpc9kZM8WdWraYXHbu9F0tqN5g7PbiSeOcYxLlo+f6OQ/5um1ynN1LAchxLrvH7h2OsLFeFMpaX/dljr2yYAcbNV8Xv5/QCe8bngvFoU/Xg+HwM57T4nhPufmiPGJPxTzrdk7yu/G135zr8Ua2ce6cL+5ru4pzQ0vI5Zbv2ONJMMQuYi2M5XReOiqtQ5K0XrqslsbIfKflbQWuy8HCSmLDF7d9k+PfeDv9f/af/Wfz91/6S3+p/vJf/sv15//8n69/8A/+Qf27/+6/+6805m/8xm/Ur//6r8+/f//3f79+8Rd/8bpY6OP6HZUxMfJceKy8PoPEBRy14OMC4jQ8go+dW+duyHWBT8BYq0idAW/Mc3sWk7S/SFiH4H7///t/1//nD3+4ViO9OOGJ6Ux346sLJXUGBBUuzsVgBpukIc9dWH6bPFoyGHxeByjy3LScdtLXf15s4NjBv/Dnwfc+D/+Zrce+C8BgE8EpwJ/n+tlKHrcFftJjyfexYNGCYmiZsU+e3xVmMhBlVdir/07LLiSflW37Jz9pT/z3D7gog68nNk57gZbj2GonPAsyStyOhOgJUuowuNASY/V9SSd1eaOTenNa3ttXn5sgn3yBFkvab7Y2fDn2cuGQST8t5IYtfdyeM3yNdb70imN8hTvZMu/nvOWvkGh/9agOd9s6qbzFLsm9591TYpCNuZ/qPQBPchyZ19lqDLl9xliMjTEPz2dhZZcWoZkws42ftL/sHrsuIQOj/eD5xKJP2OMk/e1nN32XLzZusrL5ImHmPEcssAWp403GzRk7chPS6fNd2pc3Yl3L8/DnZbJNHmAwWmBesGX87DN3Vfu+ddhXxu5cWFXVMZYdF/sYu7NzsAHjec0cw/NSkUfPV7/u+1iOaW6ry+Zb9VrNnLhzxpIr1kbcvOJVxGA+z0/+rngaJnVdqIcdsx28dl7jHpNFR8mYGnM5fF66CA4Z3e4LP7OOHsbWtgnwx88Zs875soX9iOFh70b70LVjDMj2M+yi1oFhPLL7zqWPsS200laZK7itHTG5FOMk27Mj54f9/s31F9e1eRmesnh+8BW8Z9HlkBXzoxNKv9nxb3wnPo+f+7mfq7/wF/5C/a//6/9af/bP/tn6wz/8w/o//o//w675vd/7vesz9H381E/9VP3Mz/yM/b+KBn8xzptDfZG45cLjtpvX3/g5GezxPF35p9F3SRxyPhrX7dw7Xt0R3bF43JLbQzY3Y36+ZLv6sZNTGvOg/fmeDn48D3MJSgSM206EaOlrbmd9zKoTaDyJXAYUlE8udlNvOV/6vcnjALuTZiU4Jw95X+4MkPj9oJgHSL/InhOsELYFjTOpOxYcJDCA3mlPWp773yQoMySGXnUH4yH9alei0x85CDkikM9YTTuTntXjrRlrPjPp+SLhsBa3Shv1AGZ+VqdOzp1WVck5pmi57+R8acdhH/0cLpkaDH1TgKgtufbCI9vaKaNrUha6u+2mpg91UeQmKxt6P8+0R+yxgswxH2j53Cfe5HxLH2fifOui6WvOgljq5ta51WMt+87nMU1eFknEsKT59jjaDTPnHGjv5HpEFhhLm3Ba+u8nZtzmCf1+7l0fH32d69J2ZvpzaCB/2RoNrDDZxstUcY3MY9sYTnvYTCmmZlJMsxq8eoPDt8XM8Au/9viHjqE+1xzssLmijd54UPJ+ewGcJ+2i0xaMjE8gho8enPH59N22LcPFkbHrpp5rv8Ltvs/b/eO+S3yijE9/RixouguyKr++B3RbEN5rkRU2x1hg+dE7Ofr35461aO2/5vn3Bb+/yv+MR82Px/ATd/wnSdfwVqVCPB+FSf7mcYh9Ll6/KjK7v/h3fRGLklnsNZ/v7zpOVjwTTxyGjZ455f1xNHbt8PGo5Iu83Ba11E2FbPjoEq8n79T9uy5NfmdyeSYn7WM7bX/Bu3WYXvI+7z69MPyNjj9xi/j/8//8P+t/+9/+t/pzf+7P1S/90i/Vn/7Tf7p+53d+Z87/L//L/1L/8B/+w/rlX/7lP/bY79qBXp8Xw4NBKJm8jeVmd207DzDtu27J422HPI3TaKAjB9xtXLtw5zHPWlfQdx5Cfuty7gJMP9x+U9UoOYOh88WdreS5A9/5LGAnTfzuy5au48zlmovTim7q5s6L0RJhlJXAqhPobnZxO6dr1nkfEn6eU9BYlfaoROr+KEaDnY8VCw8baxkNxnNwlt0bCgLeFpUB7KvnwVIntjBtXp5VubWgFXZ9xx59rBvtk2iUt+f1ubMr5R6ALJGN+a7BHkfDlM0XOuxA64vdc0wGT9JiuqO+QYxXtD1Bf8nd52gi3iUA7Tm8Xr/hXOYoTDCGn/aH5Qtf0e48ZqcGabFFQrkPmKe/kWNdz+n55BkL93khB/NlUl112L2JOHh3enQ9C6bHM+dN51Zi1CIevZb4aprpX5QHd4RzgT+YtPJdKFjsLueRC5GxdyRuXFhaTFhOpy8U77vEGafb99+92K4GW/RNtvKO7cCPN2Q/I20fc/ioU2+3c0YV+OGOMO1i7OPAA2DmFa/8HB+FuOUhaaMpK1+4nI9rUG/9DG3LKAsR9pxsy5q+BM71no5tNtfn5u+meV3mWWt+KsseBXha8t8VtiwmJB6ErKxQdSssPITeFuDmE419DyP5OJMKaGEXsK899iT7ouU5Xum7W3v7kN78kJn4c8eZ47GCEn3Oczw7nrHksQ8V9XxMxq7EzBkzcScO+lLGiT7HroWjK6jnWjccnVNfFuwALaN/0tdfmWoWCx2FPLN5oIxfTkv5dRGrX/Ca8atx1WJV8O48uE/Y40xDE/k6Y92MBePpWFVxXeZx3/r4N95O/7f+1t+qv/JX/kr9+T//5+t//9//9/rN3/zN+slPflJ/7a/9tfrZn/3Z+pt/82/Wr//6r9ef+TN/pn7mZ36m/sv/8r+sX/7lX/5jv5m+6uuEOxNE7ujcPIqKYWJzu9wcN4yM1p7P3HGcPHcL2u1EdKA0pFuA9ERPDpXHvcXq9a+pSl7eaffD86UvQtd1zHQyffozn/fnpZwfzvPOqf+oc6dOzmqrB6m2nRizA986r7cLKu4DY7f2PgXMg/S83e5VUQRjYQGf8x0y5niZ+MX8BMdb8L09M5fy48K5H63I+52+c8wVV33e+AKYKxfR9RzrtUPrAeGWhOv693xdK9Nha8dLxi7X927UzUZtERMLTI596ypiwSNl/Lkpq5rv+G9efw1u2+1veOiEY5KDFWP0ufOxmsMSV9xnp97/7u8tobz51NF5gTGuzyfmmM8X9jvZMQevY0Gs8vrn0zuVTvln4c7u38G7+dn753E/JwEuu77eXH/slB66OTHC5YFrW8dYLAy9z3dKgFGch119vLGTtO3XC5U8wbt2q235jdtnXrNcJ6Bh5ZidMO/L4iKTVDit9PbgaGASz9VynlcCXL23D8qMu+1aPEoX5mfkz3g4Yz7UPNd5cVR+7S8rDHmuXJDx57r0ZnkeV3wLOXgsaDuhseq+LpD4ok603gpbWoz3HMBo2FzzXHUuWDImMIYUz/EfiAVtM+qyPAtHuWAUf/cdYfpn35+t1FkA6vncniVob2+Xrzu2lB2GA/j+FuuHh+d/t1Zqdi8MvRjPfQk5g/nCeh5XXGbvtZ9f5jB67nxlPlZhc2cxm7xLJ7xHdN3xe+L79vyC47cceDR9I9vFcw8tjcOXMY+OqMqCMGzB9P1SgD3aEnqb6w4ZOX23Tp5vefwbX8T/43/8j+uv/bW/Vv/8n//z+vmf//n6T//T/7T+h//hf6if//mfr6qqv/N3/k59fHzUX/2rf7X+4A/+oH71V3+1/u7f/bv/SnPdjPrdztbrO32+r16f910BcK7XvMeLKyJRcVrOc2cSeCbTRSNbfu5cZJzJiNGQwQLf/XC7Ie67vbT+qwRA11x24uO+terogLiDz2X8oCVpS/qOJAsyfufcN+7+KBnnDu1XoODtTTnmxZ6+BGrR0OcmoDDIvFk80Q5vejuCL+z4CuLlspp2zE/pNJODm28c5xB0Z+xCm96VZ/nIbXHBw/nyxyyyIOA834Mv+WleDp6X5ss7p9LfODB0op3zKMiQ3pAVbXW17vZxn+mGCU4hOXsEkXqbJKfg66S9Wg9aeDDBzp9n+6pFk3rW2J4sWRK5gpbQ9/BYb3Z7qtuK39uOd1dd6Mykv+/7hIyRqDTt5PvGu8Y8Y0LvwPAt4o1XXLCN3a/7+OsBjumcGH9OIk6a3xXg+sVxjUnvdKvHM9LXty22BvsucpsdoCrzBfJy7OAcyb/8svFEybv4G3ox1mCsS+uIIcTbxO1sQa+QH8ekPPvIHdpDxuHPoquvi3cE7Lyvff7ySEbkBbmTSTxgS3rKigt8+2vwY8ueh6+LfVTYXEGXWx0GttAJm/Md/5d/fXysI7dZVVo0gXLR4mO13rnAb1kXfant6tDlF76X+Bh57bvNAO7E3zqAuECt+JO+u+zvXEAH9kF+jb+aepuMqs7ug8L92U5v9/eIqW/S0vK/HhdbBd0Vf0coMN3TdrL74uvckHTK5oa6BVoW5FlnHqecVdc3iz9ccN98vBpr/Vzf37lJ3uefbuO4HXh47rbPGJcY1nlH0644kTTUj3r8G1/E//2///e/PP/TP/3T9du//dv127/92//ac92Ul+f6WJfvbmN1kpqB8rx+z/VNxB+ZaOBcwVj63MFXgwkYOwOrO36BbufrZCIrdNcWQ9IV8/Car3dmfJ4BKANHOmckUp8Y+wKq/Mx58jgW0JDjKReOmZ8dUJhM3FrITtBJOnN+p2Ef9k26clH9CUJfwHoCmcu4ZfUVOO4T4HGOO05VVbdfRNCY9yD6Gsvpq7ok3DGm+zUVxrFEZ8X1q5znbIv/Cq9td/Irmztspoa39A27rzqwvNmJhx5W3EffuuHi3bYJqPdOmSol2rc2fvEVmES7gs28/NnxzRMxYq3LyIOubLp5fn8fd9Acx3N3yPhaJ30sOmaC57OKlvm5r5DtbcfjbEkHLYn7uxd5++D9hSPZoqwFTNpM4j4XLrcYZ4Xg5PziFKcd7sOfe9Ha792w+6q/0+Ajf35XvgNXlJ/5pXaJTLaho8GL0qL/Hmc8TiXP1APx88hbLrHukEPFREPD7bFB8cwFv91H3G96I0DNbmpfj6SfRcBXEfUeU5kDDZ3PX9nu3zIzud+MtWTTr3FyQfu0SQc/lMvYwMTQN/MEP8z/aJojvyXab8UJtsWLloUx7nlZ6yLbsxnbzh3GZUW2LtipQKKxJaMTTxkDsqCex9HyXW2H9Aldnz7UcnXfzVm+KkJd8qR6n0M1TxanSz6/KnMELw4VYtB1LPj8mKNh0pK8GMOTZYx5PsZwb+kfOdLHL2Pmo20tr2ucvkQ8+YTbu+L1Sd8s8C92eOgbPFT6esqftGM+bj5UzHOryeRGxrc+/sQ9E///j+Na8cH5c6HyBE8bBYC27smcAuId5Ppc0sVnxHy2E7T4VzuR8QUwGb8POl9z3ZNAHsdCFuf0O6HnjV/tVh7Pol14VqVTY9yepbrtfjOQ8z4eN3m8aNFg1+dW8/5xbvJ1Ovk1QTl4Pun76r4bXznm7cjneDm+t+3G3AC2F9hhoXOl7yRGgaFPnfPcug8azO+JQ366T/Hvft7QF637CETnLpYYkF2dAJ7FCdohbScXHLdHRarO5MqDrwL/cTKuf6tL+lL47CR6oOF47OeL4mGP8W7h90oG3ZdeQ2LBQh1C973ITl+/JROJsXMO/Nx2jir4eclTSVPKgzJmAtB0zHXLba0Tt3ksaeu74R3z2TzXJKYT9Ms5G/P+6TvJrRPZShYdW45Z0Eq9ml3EuXMh5bEg77f414ubC+1WxKIdDu2dIMZ7MJbrWQuItrlz14utzSPHrTZtHUrUZevxfGeMM3S13ZOvOvXLhbIKEFy4CQ9pQ8fiLBcQJd1Y4aM86beFbUk/qVvJMTshLm3I67Qv7sIW8epxSN7Pt1m776OjBHjFBD/5EV/+U6JWnGj9tr6ecW46afn1oKSvZTZ/EzO3YvF0O4R8GLPz/ikMFItE8PmYt20tFz/USR7Cvm2+MOM07tMHAajU/c2OE5Mkxgvm7Xzzv1+/CnktaQ+sFR40j2d3i+ewzpft0sen2/n2f2Oez6Sh3ue8XAjzMYZnyCPHpmR2yIrzjZ+UYiPvG/++5CY9X8qoYIftL7mecBr8O24kzTVxrmkwf7Fz3uVTJmPcn3HiMtaPcXxXi/jz9yNPY5xjpYL8umsyB8c45s7ECYasQOl0+nyvP7qF51bFnOcfi4Yko57FT9OERLGqHcTn43Hjry/Tc+833vsasf7Vs+qpEz1rdJF/87zen/Pv3vNlSUgkJQleC1/eFupzpdlJHdf37vw557mb6u3tK8713HnmvsC/V5i/fiY+20ydh1NGM26d9135Ag9JQ7bTW1K2Q1bvbKHCTgKohz4LGp7IdqJ42GOkAKS5ExbSlbrMln7SzuNIvJrlx+YmsTnu812bLDhwp9vuwx9jqcFz/7wTafZdGCQJddO35JALJdYkNmkAfbMzszqB4rk7Q54MZyuu29UtTlihNuzeE9/cLZMcmobbwvRefHIalMAu0RLH4NVyf+6TZ2LkNy7IlnPswndIvm2hNzr0nc7mK/V1tCauxsX3L4RcC3G9tvnk6zp3FMqjd5cT52+xJB+fmndPzILbebh1SUzLdz5WRhsH7rutrdN2luRgsyVu96KM90EOJvcl3VKvXWQ7dpWW+JLpyDc4X/vSa94VdtIJsL4bGUxO4/y1/Tp9lMSzc/fpu/SfYGIn7ZCxFka+IL4tFijjfInjrdjivv66ijagecI/S4vWXLgZfdtjl0XetB3K/yFi7CXGfMla+Fbb3+FhhcX+jp2RkLM/juMx6bCBoq2cetN9+ehS+ss+5vFCgh7/yeIE4/QiXzPvPnin3w0PyDUYn0yX1xh+xkHjtePNkVsLB5qGa6G6Us+6pmLtQDky/1t1yrgLW5mbHL6w9cLJjAXdkUK6cmPtjsMmwaGd9LJ46tgJvui7RRvXmJmbcNH//rGJf/3ju1rE92Hgegm6x6LEHLDinINq1a3yxQDkiMtAmRUwAvrRHkl+ZkglnTc6Zz5cLxrf727mWATxr3budZ/ztTH3GQxxHxP6Cbo1Y/S8cy7va74iyAzPcd+tY+A8pzHFn/g8ACr+7UE37cSTiVs71dvjQnsfXxVW7mOHviL42rkSeH2GHOg3aYfywbOayfms3T8Wg0cA2xdwBVeqlJ4JqQW8HtOkgQQHY7pdpO1ccGB8QfJQEcp9gUnB6/4l2ZYHStKQ1fWREWTlMlLyzutdLvv0s5DZLbm92WxiJ/++4fGZkIKKLZvhQqBpruIi4pb0PZ+k1Xhe83c/b92XvMWPHpC8ztBuH4nH67mX8mOiQdk0T+Tlj9ep9MinzmT/WEhQPkMXWo1pA3vbjiTtzm3Gn9f27gHn6/MtfVH4WWy9dFtt/+m/m7hMvvs5aMq/cqzAmz5uXQ4zz2DL6RTZip22yljLRfGRhMdimrTrufpYuJVkrEWCc8aOl5P40z7oG75DXo/NkM9h+thBtr+25JByV7u/f9988Zl4KwjPNeHXi/Nd8PSC0ZLxhn1ELllYTFW3B2eM1KJkCiSBp+sxFs/BXGq2YGw7mcUmOw0uvl7bFjWUkctWi6zWw3pAjL4uSvS3v49hjzya1jPH8F8vYAGI/niNL3X6KjGMsh3+yunL41awO/PUbX63ipuJt7jr+OH5ojD+XKM4h75znHkEYsi++FJ/kq86/YTzs+B6QQhgX9s2Z73EKuZVSz7COT3GpZ+dvl5Ff059K68if7PAN16EVxnfjYag88c6vqtF/H1RchplJyNX44okwoJ8gNYciwZ3nLokes85WM41Gb7Rks6NMZOHG7jWG+O3sTo5rveLfiYBXwHhv4wTaEfME7bmRcFwn/etXDxR902ffw4PSIqvQD3jJPCeCfcnDCVtzeXhdO46gzQTt7c2dxnz2o786ed8x0mfuUAaW9u0U5dDlZJpVq15zui72dzFPlYwn0lnBnLeryRByYIXZN63p/ouQ7RYXY5bcpDBr+e4tS0f9yOhPHFEO4MdpJIW5wv+yd+eL8lGfHqw5gsF+5qqWKTZLgXoJKY9/+4FiyUXJdvJwoWPEQUjzF0hPyYhn6FnXH7FaiYTvFiJdj0LCZzrZB3fUY5tt8eOQp12cqY8N385E9KmG/m8MIYdX3Xe1/Ro14u751pA+KJLsabbs3tOS5LG925Jj/PrSSeuyftBQSedhXNMmG/P1Q6v5fbf57KQazxHnMgXvTaO3IpRTcMH5DoyCzoJta0TLlCJV2V8aaf6WDi0brYWBxlfBue3dNrzSbauoymuIXGWLu6PAgin3Ae1EKpDN1Xi67aBkgvN7FS6+UZHu+xiEF+Sz3qclsVrX7BIv1SNzm3oxp+fvnUYNEbk8+j0qdplskUIsVjAf3MMztu09CFMWTbW8FXEjcxbfMH9vpX9LALU3Kddby9s7YmRPLToT98Lvx69019cLllwmnMVscR4DhlHnmSx9YK/HJO4Qz/eVRN7cvwzr82f5fz6nF1CPOj4hpP0pRmz4PPhB/cAyAABAABJREFU61VlnSuTL45OckNIoH7mNJh6bCfxAP7c8axltKLAMkNFN125D871y7Fxx+ePdXxni/jX5y2p+2qhIwxZx7nZrbmMxWO/M6pYQNiERsPjWJ8CrSstFQlf8ozxjZTnxtvvNAsMMrDqmq/a8HvMTmwYFD6DQAKlA+jiZQdIZsI2bL1JFHlkAkZwvSWIhfPHZwL1JWhc1HwA0u2RBT6jRIAh7beDp6Zq/dz3w0WONxnfaB9wrmhrvciaMvVF3TK++jvRroCSye08pkHAX/dgWFUOyvXe19X+iKzzub53HfvwVtQOsG2ruvDVJnYuDpJfH1PnFs4pUaQg9XFtp3/Ost2OfFlChL8n+XzkwkB5LMiO+S62V8v8rW1HixLnU0WJNbu3xlcH3+czk7IPyI/JgNGFJLziGqOB50ZW2ap8tlXmAofFiZy37fdmJy3V3PXKHVq7RkweOmkbv+Gj4oXkl/7sC4LXH5PsXOjy1nXKzzGsfy+bh8db6cZ43FqAHAnzPpNBdqDkzr/ZYUzEBePoC9cbTTPmmkT7llRnMWToKuGOOvRw/QX2DctAvLV8jwDlXz0fddNHt7MeC+D5Dgu6ct3c8KoTYCX4vJ747btzLHSML+HvM96uue/w+SK+uQ/y72vho0SDTyi5Z1dWy3b8xW7LzouluStebIf4YgsJjJX3+UaU5M7uhdndHzuRzI7n14u4dl8UyuebdtpO298dy/zN9dBX7UPf1Nfxawsjr21FLMrhXd7O3OTsinN5MP4yBqkguWdMYqy102d+Nae2fcfWbW/ZNvJd7ktUEDeya8/syeKEbKa/4+fct05Z9VjMK+xcSVYto6N4Qp5RfO4xcwH91eaKsKznE7bcOoNFu8vltqlYdt2JKT/G8V0t4uvirHSaPjKRKhp6XG/KyySwx6s6XnI1J3BkO/6taGCm+RUt8+kAcD0389GhTid497gAx/iKPm9jc3ncd5KdFgcR0bLwNwe1oHuh/V2iyKDRB3+mo4HaqQSgrVNf3rbkzu1jxTnQesOld10Er+9ClwFMeV8mvvlzIk4fPp9k0FsSlfx7MGx5nLToU0T5M7CgtQJAU5dhXzPkkmxfeUQsC7e/pMmStw4opcXn4deQ57218w1dVRcbZbIk2SwkP0G6LYjtnCW+ZfLyhEjJ7YxZWURxXm+t7JYAlP62a4z2HbZAjH6TMDftOQ/keCQTpXOTXk0y3P4Cepfz/y5ot40ftrPvO7tzH+Y95NFjJUYkf8CKr3DnbYcH7kjMaBq4eNKcXCwwgfXkx1uGHVucVsqFya18XQs/2kfKTN1ZnhRjF2voWyb4saeQFelk+/MUtsJ338VI2pAoCR+8fUff7fmWfH5jOLfx2/W6SAnsWSChvmYe0HCMbbG1d9Rc7j0YcUqddq/BDO/KebbYOvYlndx34mWXo4cYn+9VAJkqAsZCh7hzfDfn4nrItmXPc4X7+76W1Q/sllrSuS8kLsXD8PXxD1sAO3bO4ySw1dvC6qYTPsqS7yLI+/zFiRHfF1uoJWP6Hn8akK32yjvd/v2xIZ/noO9Nfkpcsg2QAi0Wq56OPbwPymwb/9a37kt9sOhliq6Of+tKQ8oWt0VxZ5sfZ+5lu/T4BZCxx30vLC4z7prc6ZQx9UwaVGgcOsvtePgKfSlvbz8OLEPe8q6IMhhBLCycLI1lMThs9Mc6vqtF/FmxvFSdaBCTdBJV/bpp68O4WW0yoCj/ZMLw1U53XvOuK+CV8PFGv98qxCBTQfsZKxatnMh3ie+O2IDgfJ3mfBYSljlGk5kLCJsXCYPRN44lgL8XJ076AiOPRNNp17lOKgiSvP/Was85mZDmObPVEMgNKFIeDf5siT7bzc9izXam52MA0U9dAxB5zsThHkSDBoylXQoRpbxDO7uvr6DTJX+bFu4I2r2jzkWJJbKl62/62pjrViTL4MLumXeFByZ1HUCUOCtp2o+Cb5Vw3i+p6dMTKLd3S0rW6S9qbT4frzkD+husbX5I0yLPr2+PBUR5IL89VmMJL3W5mIisi93LBtq2LGg/BHob7Tp0ck2ols55siQHcN7JM8bqRUZp5+41FvHxjV9j7AwJjgd76DW516m3vvfjI59j9CSzd5fJv3VzMUGsxAhkYuV+M7u4R7zwWEv5Ny/aneeiswt23FlVC7sWVPIFztuHJY1f+AR39T7NruT7xN1bgevsoGKBaTvPKbfBlmVysAVE0l5KVpfN+/rHYKgZMhaf+JZ8VYzFhYo9qlKypyO+P/e97NF1ZAuPsCEVqOjDe+7rVvbbI1ZtHwX5NzbnQoDzSPeyx941pO2tor4kQGK0+MIlj7Aybh7xpRf4HJMyej7bL+1dIR3PVtuM69kX8R5LWEAevC9fhMpWXxJUPkE/cRsYVcCGmlbK7Vj0r4gFEXyYV+kRo+U4F/Kx+fYZz/yll34yF61W3PykPWcsKJvnq3NJX/N3nItchXJIWR0YltiMAfJc1dm5wljKdxulHzvtstmJ5fiO9JF3YeuZt/vC/jWAr9loF/WjHd/VIv7etnEaqipLz30G1D6Wt/D6+LUvu1ARZKhc2wGaIZw+380++foqKTuqTjFOXp9HLkA8yAfvHBNA3Qd3G2y+cIK+L5MlzvtH6abzpgxKOU/ez3P9KIASnAug3cakDa2T59xxsgLEwnUAbNpjPsZwnQeJfYPdfcGyrnbc89FmyvhKQIugQRogI/kZgLBEvyf4DPIB1NTfav4ySAWcLyygr77ubXdJg8Y6g5l41v1rkuKLP6+qj4/TDgn+TWcbMuej/R8JfbkcRpfkYUsP1yDaCfPlPs5xS6AyUbFAW2Xz0U44DGnP40o75EFZmU4CR2m/dfm3t14HRpRs9XqOcsl5a8XV8jNP3kWX+TqGZGv6V49FzWfLZZ2FD0sUMc8sIrfobL31gls7ghB81eFnfZxFId8ZzOKE7cABlNj2LLzSfTTe1knGBCaIpy9xcUIa3mBtzNcL6XfF7JV8gQfyqfF95158Ob3zN/yYO2l7MEUvb0xfV3FzH/N5O73m0LwRG5tXyrgXP9vzipQxCwKMF3u/eVShtOC2dvBVPl/Y0NgF5OGj+q7vyU/ELMOP0FfQ0OMxjpl/Tv6RXQu9iNQ8aZc6Vy7rjK19Tci/Sr5Rq7soLs/690IbOvGOLW9pNvvYQV/r5InjjsOgDzwfvrvf7RIHni4/N3lf+efHh9tTP4/et7ve4BuY75kldOM4fDsSH5su+VzoJEDsRTvPnf6cPLAdf2RV8m/x6PEP044uq8r8yedJ3PZ5mBOqIPPYPfzxWmTgOcTreZSItlOKdbQ5jvMunxDPvrn0Yx3f1yL+ZtTPcVvMv6uq80IGUQaCP85YO6zjtlDPVnHPpgVwHx9uLpkUT9Aol4MBb90Tjf7uh6sjPp+XVfyt5fu6mBE7fg2dIMQwQQNgfxMVd1h9ltM5CeY3MHglOOI+d4nyeTiOcySW73gut6tX4nUDR9fXvpzjkSB5a6c/gLBpR8BpALWkbvv9Tqf+SEDLHV3yTPvlXQx4t0pnmP3cxYXs3ZV2+cIvXhzE+9Yy22ZCcH1TMukCVrQ9yQ5pc87YLDxqBy2eqLRP+H2eTh/JRClQ9nU91q2IcivyNC231rP2jyw83XZA+chCj9H0uTwY5JfpYHbSIsHpuUfuYbcux35sQjLuNtDVc28mE9xth/zhU7bYfZNE+uMPkWSx9bfvX57g5II45+kRbCEH+loYWkRKPkZX233Tt3JhFB0J5YutHuNDLBoOSID6EO44r2ML2/nSm9Ddd4fO56TRObZT0FdhB/70b5d74NXSW/MzMnBe4tzhLzj5CXme8vf44nzJ36rg23HNUAffmEdFLrohDaDGryFfddLePLqtKr6w3Z/jSOe3olc/E+95iLpAdn18nEUb4c7pg5pb71WYgkD5fSZ/fCpnA8/Aqb7xfBTAabDixGfajvDOtLH9/QbZYUBMS3lQJ82rP78O3G65cwPE6Mu307vepnvkkHuNPfZu/8iU14Bv2hpVme9YcPF77PdzXihNv2b+QVvq73Sfj2t5weWcFRk4z4UG2wDpGFzesXLkKBjDO1ojhsQ9w2ud8u8Ydfo6xl+y51UrXnYXtoPcJHM1yqp5n7MLuF/ipYr2d//Z0Q/jfT/xNvI/F6X885YQf8Pju1rEX36eFYtjft8AJaUx8eLlVrntAcKxMrFMKk6naVB1oySYV9DSoCKgcDqVnLVjZDKBJOICaKTveNYO3/3f10X867t8Yy/v94RjH+cmUA4/+QdABGMvME2d3ujL1mt/m+x5jWhwqpwG8aKEA1e/AeW0Ewvkt+Tb7Ne/u7X0n621N740Ti/+vaUf58hzJ6aT9Z/z3BLFI1Cud50yq9byANsFhlUZiHIXJQO6ApDGalriXInnPrtTWM/ft0XTQkJjyUtE6xvPr/nOXYYjiYzEzYO8Y9JJb315X9VlUVGdaIafvdMpz9WZdNZxH4tzd/yYRXX4RO3Q7zrpsmT9uU2tsiyw7MEfXjuyQULpcvTihNEOeXyEXakVNeSHpCDlyHiWNv4Ok3o+mjF1NDaDBcvrMi481tzXfm9jlq6TPLbRnN0ALBhWxU89vcOd7S+Kkhz8mcrk2Yup6H7BAmkWfFgI3HaotOja1/kyhs881bjMfELYlT4o27ngG+1iuY1zwbJKrb9t7/MSS+i5qnQu5mtd8lz6Im1W97VcXsQs8PjVgiqLeVNke+zv+FWA1Yst+s2WTp4x62azsMvre1Liu9Z5PrJQsBlBk5zv1vVB+vIxAeZ4mRcMfdBF1cV2yEO17y7/btVIxAr47XuLvvsan89+fwbtXJgODbwvsGWKXhdbFe6cvjudK6bLtrWQ8Uq8lz8zljIH7SMLENxJ9nkzZ2iMvvnS3RaMv027D7w3GwXO0x9BexYLbMzWDfgi1npr/798rFvlWGzYBF4lWxRa4aSfIdsq0ue+nrzrZb2ga0FfLY8SNltOFHQehtXfrLKupx/j+K4W8cfOnTnBpRp3AOA9EVr5XcxHp0lVU7m85gNO199xnExCsrpO2o2vrwD+Mg+Pkd+n5snA+MNnlkoI1O/c+370mc+LjK+Lz72PhfckB/UA9ScEEfRR1hwzE68BtLj+a1s4+boCdQTKvuMGIh7A67jv+CmwDmTL5+kBNOa9fejGqxcUSPsaWXEMB7Sn6mr6Ejx2IjBjH/OcPnVbyPHQYh9ve86AEr70bregaSZfTDqIAx9PNpf4kd0H+ZkBtse+7VaqO6I5zfvuumz/6oSMstHi9YJl20eagMeFZgV/SAzrsRPijnWWkPeSbpJr4hD5GrkD366te52IonVSSaRo53c7znWlvl8KpYXYmSRU87ElK1vYLiTTARLtE+OnFbQ812nRZaLSgm5ddFOyAaHkmViO/ZEvw+H2A8lYnQyww0gsZffb6CPO6RncsvmG95HLOsamfXWM5AKQ/pXJXI/fvPOZZ39Bl3dqjN4W+DL/keKOJHw7nWYJ0FMWG27Y5+33OsV5mvbbY0YZE4av0uYB7anH7rGsfb+Aw+tCS61jXsXwE/cbr951P+Ui3DHQF0Za4GfBdFXmGvLvBb7IXwkHtopYiWu18Xw9BMguAstpnjiTctd8p134RtT5Sb6aFtr1Ld9xnxV9Q3u5TpjH5aMliR9cZClOKy4Idx67GlrXwZcXLrBQ3GEfhWPnJk7adnbhsdjgNkrf9060xFXyfi/O5blx9a2FaepGXU8ex1IneV9uBPY8/Ox7jvszdm/qYYXtOJbVqkPu5peixvLVxn67r84j5S5e16Ev0Xfaetp/pibsBPwxj+9rEU+BP99lS2gbxm0X0No15v4n8Y2Ax/nScd/RxZZ0JbcaK38WgbTQUXLH+gDqcgO3QLR9V+RGZ78p1Xl+fd524rP9tjBfPrtpdJkjL3fKBqNPtMZ1ogiZTVB7FHxrp++DbV8ZmA+dXuQyjozgYrtLS2DPsWesBK/ycY/d+RKvfHZL7YcPXwFszg/PyY7tp1oK7XORFLwSCe2GpDyazmv95jl564ZJniP3iSAVySDkMoEBxwTk7TJuecxvSC8lWaLJF/hH8gJ6smhl/MS8CxPJLy++VHxuFW3dTGzG1iS3Y6FILEv5hV9Tt07749ddt+vgV1F8Ae23JMGT6FMu56MwoGW/JtZCzN+g2zuzXMQ0D9zdcZpbPqCvauyfu1LHLj3mGPrWiMf9GvKwpLMkx7HV4Nnl2D6Yu9kap8/1d/bb4sRMzN/ntMiIBBiJ9sSedfNH7NaWFrILcx87dg8xwp3CuVhoQjCipf2eu3OvcyxMhWg92YcfrFEG/UXdBOO7+/xd75ZC4+rGXK3vW8LXdmhdDHXaUeJiLoyuOEB8q41FpAij3XVhUDt3wI8HSG3XjDws52toqjJ9pfwrzwEHyFPHzTNG+vW5Y11Li1Uu9NVdcffBxopM9ot00S5jDPcX2uEbGV382nV5bwGGKo8FS/vux4cWLkMf/JM26j4Y+kKOJ32d91XzvOvtAl/zbfw6gI/JAmbK+FrgvlxfJbxWUdVpuLWdJ0bKZjUm4x8LoX295Jj5xJ3OmzyPjZ0Lz5qn5/Y42Ph4u89ygI6VsG3aLG369khLPrph85XkSbvS3LqGPt7x3XFU8jh/VvJ10S4Uida62H0Ur5q+iZGXjovqnMEZM5z6kY7vahGvnZbXYY44BqjrHQAX/s4EqiaxOM4tv/6rhZgBYYWRdOLApDgc+LZjfezSP4R5e1SDiJJhPrM4DhWtwDyGv96ltyDvvG/wzMTtvO8CQgMil6TnSXYYCy3YgE4eaRcvvgUYt4U36Utehk6bD7tDoe/+24NuAmEGjXXYK+VDehLIcpE254ZST67e+QST8ty95Zi5I2B8VfLFc+tO5yRZImroLS+o3eQ41z9/EGAHB/gd9Mxnd8t86LFdJBHbxnR7kD0hMQ+MSPBX8hgZYpF/k8wc756p7KtZEOAItOO0ndaX7fJU/DawYZJjrNOSO051yMWCfNLwjG3X16U4EfePPSxP2BR8VbyyHfK+F7LxBKftUAm67/Q9NMR9BdtOTBcPWvR+PAbJhcTI6kIn36jddJo8w3bbT4hN6wkiLRdf4MuOPB5Fooex0l9mZwvJUhYi++KW8Twfe13MLPvUfUHLM0HSeSzqmr/eXV7EKRQZInPLRNaLKKJ9bK7tN3XC79pRcIwcu8Bay8aanxArj/nqOutNBHYO6ZGPo8AVGGE2Xi7/PvQIDHMTFSoSIyh32a1wp3fi77joRau2k+EZ32UXwizuSAt83LHl9e0ul4fLWPOMvmC3twWVY1rNwoN+w8IuMdn8+tDXubCymAO/y0JCTf7hGMux2DFkNFx0kkXWw8Ypd/gl81rD2srOCT7/Hv78Jpcsk5/yN/EH2vvfC/c/B7tH3P8r8gnG1NMWOK/OARcxNnGNRR758eMLn+6X3mEAnFqn7TB2mc3VAUnP2DrXMaTlQCxz/9+W77gvZNEWfFEnkNMfZff7uejeWaZ/65xjOY+XX3ou+WMc39UifoIbHflmEOXGwoCVY9FiCbQ9T1U6rlQqY/bDnh0yEEbVFG6igKK2km3nZIgDfHnNkhEnuIqusu8YxLJiSSfInzMb/oOG4Se/pIyDnyM4LU/4ep4MKDzOZ/2lt2nfpN4eOdb2+1sPJsfkCYTdgDqDNcfNBfcqFFZuHRAz5in/pIs65U4an5Ekz62H+w4tAPGYB4nYw/tt17aZ9BbnpesQYO9FJQ9uGHLGou1kMJxFSYD3u0Jf25cw5PZzQh1Qc8G4jnmaByWHbu8tP7eT4Ity2/C3FVi2XQZHoHxWTY07uUDnzsfnI8Dz/tdx/KwQ+Kg6C6FOXyizZWSaSNsWvWfSeI7Vn3zhUUGmFXgw2AJ+mLC9rkm9KfYoiQx73JK1tdiWkn1hIWmBzYFf2QJsZ9fclwVCnVuTXG047fhClenbx9/2XS8KZDOxuxN2cXHrR/5r7Er3a0czi0ppj8PXyDoSe+qLsQ5zewHTsUjJLvTWvAd+DO5s1w3t4/7YxEspsoHQF+Rw6KvOn/9rGbHIQxvRAv+MWdZOjHOt05Mv8Aw+dR/aWqsXpuuwq2rNXGJ/yj07PT4W+KMvGV+yp+NdC9CzviPPGm09J1mYoq9zwZGxKvMW4w+YdC1QIT/LRUlP1Ha/cJ3bv2gRrnrhOYu2osELl3w0goXSKmHow87hzy8alsn9wDDyfpzbo2c7FnZ0ScMOnkv26zFLMmh9WPx8fKN3s+sYk3jQRawboa6bJsT9882uNGSw63z8J8Th8TlImceFyuVjMrv4YMfiO1+lvHPG2nENMRrzjZ34uSwM21iMZ/ju443dn2ub1uX5YmOfR/lAdoN+y+P7WsTTsaqdS+DjCXMay/P3fPfch+uPxchznyVXeQ2+uwWgueZBiM/PW8vJhlEqySINN2czNHlu9bHma6Mvn7EhP+Qh27oJMLcdoJNn8D60R5Apv95p6kRROySHDDB+PlrBVqvcyaRLnjx4sBEtwVfQ5PaYPJ82ZIGrziMDa4PPbde8gW0WEMt/J7d59t0hyScXAuSJfpX+YzRUmW1bILqBJO9DAOvklry7XO4JXxUKaNRX2MXYMX2ei4OL7l9U6blHb7dLe7rJUVzXkch6MnC1hboknfhsPfsiYaazRQnxKndP0mZyPt8hcJ7djpXwzaLpHe2r5vlQ2mEX4MhjYpF49YJk/lyVEpre5Xl8aTWtzyIP7akm26FNstq19XM/ptNeKNZ5dHJcy+yEyXHzvuYTO3dIFOc+8xctKBQTw+6DH/67CWIbbOuELyBkV0W1TC820wv1TCzzJa6038OubvLPc3O9Ejcm7YXxewfeC5i0Of+tes0nGvwZXN8Nb7737bN80VrXBFGYLp8gtif+3l9stzDW7HSbFQxn/ohPnceJA89I6ROGN45J3HxZJlsV3LyWvSTbdcaS1rN+cSAwcDPGOY6Lc31HlR+YCTnQHs02Q1aLOokYNFi0YlPGaPccgL6UMqaeFOej0yCwU3joGyHMefNXAVo+WVjZYSCrYnG9ZPe00T4n2u9dMIddUU/l+VXzaD/xeRh1dN8sjdO8VgkXKDMLXnGMT1TnhmIkO6jafmu+M/IsX7T3G+R99CXo+XNLBk0J5c6f2cvi8snXFz+v+SjF1hVzzn9+t6CTsSf4pexoWz7d0mmbZhHWeK+wK+CN5cpVZjN3noEfl/Pf6vjOFvEImwPiz7mSIb4U50lS3zNjFQL6fOfXU7HvsMB3s3Xt1+C/HKQGoDb4alpil6fHolHSmAPYs7W4CkANCgnUImvP9fzcQ9d5jfOMAARaCLwKyGvkRnr7vldiGSCCwDAT9QcEYvJE8ik9n3Jseyqce6aMwOqyTX0zkWRgsMQm6XtOHs9ztawYkM3+MT6u566lAAlVxoqxbnzZOSVBmVzp+vdB/mibhv1/fJwJhwO1V1szAd5PFCX022MdB19ho6UEAFdZYuN+44tVykOLrvDdkr4YIBSATn3JN7D7HTbTvBeTxucrBi7inLVxVvvZ/acqM2mc6ZAAp116cuA7VRpTiaz5c2NEX5c8F+whkh4mAMRdvqDt4Ks84fYFgBbe67jPE0vScMl5LNHoL7I4lwsyjXnK4nW9j92H4srrRtHuuwyZINLmbO6CvscnhM2jh7C57N5wPMXn2NLSfNR7aczW6cSQjnWkM+xePxmkeON42o+FxK7qkr69+LVOWqBo8/GLLymxh63Sv0rnTTeQERe5wij3tM+k5ZB/dyrcfPc14x8lj2o+nuCTO4vUc8VYveD4IU42P7dYYvnEjudr4TvyT5f/R/tE075RKIXNatFD3YcuF2V14bm2zTEF4aEF8yF+pS20Eqwr4JG1YSF+UnOuN3x02q2zbLDo9nb6e+cE8YCLal5ThRjQeEpZmb7OAsQtl+2C+uie8oet2S5x6buRAWQ9yVM9hYiP1Jsv+g1jwocsKrTcKf+hRbplXJDcX99LX9Bf+X0ZI/2lvSxi+2FrjUteRd/w+1TUtG5LjDlde6TzwQrLoZrnT1PD/EG7shhu+WxjvNPOsV661FeJ95Rt2ty3Pr6rRXwfnrwA2FckUrh+5b0InkdrvjnBy/TOlu3XQVu3xHd5EtEAdWs50TOSN9orrdmcjXSLHw8apG+cLYg/AiSEeZvndfs6LPyWcO1QChM2Omc71w0AsxXJeEYAGjqe/+euC4Nh7nRXjvkEw+SBfNHJFxCq9bZ3g5wH/tc8Akyzk+f87dGG5HloesYhz8fOSiRsk+wuJWPkkFNItq7bAi0G4mXmZXztsLX2F+OHSU+czF0GP1dIwiNBf4TgtuM00UfHnz9lT9Il5ZL4oTHTRVpGtPGW//hGdYK+4r6ywZL/7Hip8gS4h/MdLS6CGotO32VL/uE3M5ao4kKide/X02buxUNhRB9sL+1v4IfpQ+0TSDq5GHrdr4Uf3xZNWniN5tUOqzDtUnypHRxwt1c7cZnEaEEBPAa2cxHF62p73MnFzPOlJ8yNvdTXUiKURRqnyxe1po/HltzP3Oao56uNwwZsgbRSxkoeP6iTcruX/CVjTtm7h1nw60S0Fwvn27DZMbCGLmKsHtmh/M+FQBajTG51viBXXRLnc+Wef/gzxX18Bu3GVm3T31c6oYwH0uGoov30CfJQea7KZGStzVsyO3YdgeNpO1NowneNu9qgoL6Uc+ndAvCv8rE0ZuRq1djuixEu6oUlWIwgRDrerYhPrxluuDM2PjI6dTE8kz6ejPtSJ/1vvnhsJ+3whR2GRYzhMX7cenvu618vucWXLIbk5tm2sd/kBcD/m/yZa4/8iGUt/4V5GlcD7+m70mXZ3GcM3oM3fSd5zt85V14aRTbqJGk/5BF8taxhVy531ylt+uOgYWuexFiOWXXYSfu4+We5DkcG8fe+TPRJW1vn+W91fFeL+KNaCGTKBELBjXGErrBLz7r4+Gl4GViPI86109HAPrfAvMfk7QpE9Z6v5XRZYlSvpL9fdEE6yd/xchCA8MHWRe5VDsxyjHOABLnDoRDAjFe47iRZcY5gQjCuuF9BlKAXwDTAoTnP+fzcjM3kADK6AecnDGTVGoC4LZoov1vL9/HyEpzziqpAdhIafOaOQtLQfLHdtDnuBEeFDh+L4x9jArz5KTr9HGnh83hHsM/Eg2PN9QiiDJRryXdCz0Pzw9jxaMTQf9pMJxCk70imkfBlMU86dDrJpC8Scm6XB+2etkBajx2WuY/FkxeeqDAYHQAlLLvtVJEGBV0WSPSyPMmhzykpOzsgZAMK5MTRJdpIwyRzwCvaGv49sirpzTDiySzPRIM7VI5DrQsbewYVVs5naXBi9YG5GUPKx7otCtfiDk5/p4XiBrPEKStOtE4Nr3rXUb4uWQHbe95y+dcG7TzXOinpJFtQt06aT/hOJHUDbD9ocdynn0rPTfMted+mSx47/2K8bf2OjS7YDmxo6b6y+wp3JO2OHZZrFDBs5BG+C/vI3fOhofWAg4Wm/IVb5XHyS3YS0h7Nl0g7Pofn7Z9Vuu5l9/fFZ0tdOOz0uSYXNhGa9hcBPTffrF/bi4D503TSVzzaErlG85o/MWf58yNA+W7jzosGe3Eh5Y6xiBssYErG50+/KYZIVmM7/Hwx/Zy/5JuFc40fBX2NDQhTNL8W//yuc3SLf40ttKuOE3XBgfBPHs3DJ/iifygG1eTyku2Lz9FriWYerufXhI61ZXLn3AWM8TE9p0x+MsZRbrfOIZO3YRJzk/tPSguvzpdLasx12JzZeHlcq5JOjYdym/uxju9qEU8Ft9bp1HdAi6o/z5WcLnd5862E73aXDVgiyNiM23cIjWYLKH2OxhVAWHJ4Xtv8602/ZQY9L2/ooGsyheM/jB08WyApu163OcDIyZeumyDDHTE554F/S4DEcze99edafZ8Hw+sLSkIGHMPHXAfPmZT4LmJ/F7J+eFLihSJDMZDnG2CVOKTcJ5Eq5/lqO0jKmja1pRW0jPtCRlee4y63PYFkL768qNH3+HznoJRtJk19iZ6jDE0f16fteIICXlv3n1qEtDzOpEe0e6KChduFbtmcF5q462s2SltbzgNtTeMoIL+7bxb0wV9/Zb/zTBvY23TqmOs4heGfeXs32u2CNlo7XyjoVuqFutfzfsRh7jy4PJgUiOajO6s8UVmPkI7FQoyfWNbFFyY/Bz4WdhaRXHxCBrkoYULKBF/2tA75T0L6yOeFSb5LbNfzcysxZEGQP3XWcnWNNz+BtSPXTBRZYAn5P8HEr7/E1DU32Ivtbi2enxfbIS2Dx+MH0gVfKtdHv2OBuiUP6YPkx+yp3H5nfMN5X9B+QIfsIqA+aH/OF2Oyx8Y5t9/YSccQ2EBefxa/VVD0eda1m454Wo98Ok+wYoPZs45zV5Q76p5z2UJjCyf7nC1GwkabHiswmgYC54w+t0vGRvdd0FmnTbQcGcNp96/FkuirOffgDc51XBI9jseiz4sAykXdX4hhkiPtQ7vnWVihbm5dHJJtbD6U8/ryecf4bFf/hHKFLa6jma/qwIH0pS/b1Wesh75P6VT8iHYeC99lHti+zU6jnG9ytJQjMN3mg04s5hS/O/VMWQkjYq1i/MFPJyZUWRHl4qc3W2MBNOOFM92x4HLuGx7f1yI+kkFWsmZx3MorONtzP/3GlRcLo/IdKhrTtUoFp+mxqzw5aENVJdY9ItsX2cY97UuLhhfB3gD+bKfiWBackNCTB8rt1oXQc+aOqcl4+MJ84xC+I/8a892i7NTlFey232NBCsBR1brw75reHtNbcOD4uJ4ZtOnk+TcD0AG4k9B4EFQgOROb9fxH88D+rzbAhB67eJegUZ3YXG0csmqeyiurifA3wKYsZXNP8Gjbg0zzUQLSOTsKOCwRmPn6nPNM/MjkigHL2hwh07yveT6q/8UkpobXvC/HEq9u/wxOosF9nnarFz8pmW667PdWaRchO0tWYw7jPc7Rd6+JKG7gOf+U70Es+vNyPTG77X6KecC9KiU7rZNMipU4xEL4cYa2beJc2+bNflvu9IpVfv1pq6TF5Vq470jsH/o6GR873rruWOAQIyCjvq9gC31wNzW7K6oq4pn0UMMX7cT1zUJ870bRF94t3Khn8modEM99zCPyTdd9P2Pd+dNSJz6mHAaH+V2dGEa+NFbYFWz78xEmH6MCGXF/MFa5WxZ8bcXBpS8ho2V8VdiOOhNUkDqSYvMXzyFatv5LMbIPjukFDBRiOjfs6WhPYfjuXwKl8b06bTtjsdMeO+oGLjlfx1TIFvF9bsO8wihNqPuUR94WYE0zbWZ+smzVyDQ7YGux4+KU48Z8b+0eOJwxofq+2qU8gN+9mQ/3v3he4eu6nmOwK6byXLmO+v7bG94H+2CrpCVb/Cm3zCuI4V2Aa1rZAXHisGxl70Kccczs2OX0Oe9zrlKXK8696TRaxA0Nynms881oPwvPvJ/5Yo8+fC3huWQLvVNWES9tnjl385xvd3xXi3h/YZQ7ge8ivg5V/QDi4TS2W9P3XYGpgUwGd9IHA3zAjufG4ON+CwwLxrXCOHHH1SgLgfhmlA+vn5+qqCbtN/6OZHqAVlVWD4b6JHAbXyHjAb5wQA7Jt2k2n55c6ZzG3E+wAA8IKHX5vC1yZz4I3pOz9cjPZdXHAVAxj1d+NZa3rDV9Guv2rH/bB3fETJIMsCXaMznmkElD2tyLFsj2OflHBQYfs4NNFrHivu0yMO62j82AajhQp341iI/P4CSZSv7Cj2267LZMCzbAAZMHBE5/MR0mJlkwFBNO+2kDtJ2XboVJbQ9efMFOGhKNKTpMUky/8cKFKeU5+IbZd/b08TEqOXaYOP4sUOZa7ABVn3uNPlV5JEa2S1T0TxF9Li4iYdncYSEuus19flbVOm3J/WyPHhjrWj75rKO9u4Njggb6ehUTt2U2N22wwOZZcISOWu58xlyL6m3XtE4tybUFAWPeBZMeOvsxAmLD2PzEozM5a7klDZkUfxgPlJU/e96y88J6FgNPG3+d23b92WrvMm65F+QovtXVxoUVLlf+MTLr/y6b9+MjeC7aEI7RU/JFHAHdVZeXVc1QY3P89Z6m6xP89Tjt2L1LWfuS/2U822c8n5wLZLWdlI3lOZpyFOn+5YOQ3zPYev5o3xcmiXcfU4sz62rp5ZD5opi+5leQSHaKClO4+aB8WJsIuB+052MT7i8XX6/TLjZpf2i5dRopdy3jPX1ofM9k61hUdcYexix2sMiG+n52rDiezvUPY++Kcx7ft92nln7P7SxG8j7wRBpaX4kH9s6Kt7570l7Dq6+XLC7tRkMgTMcjYhLm4/PrRjvG5jF6XrLjoa9QZCv49dBAnSK+dCwNlid/q1PP3/L4rhbxW9Z5NQg69A2g+hjjCMfw5FbKM4faHOcxBDh8f2YQ7fmOpL9oZG7MDLoCLb+ecxBgBkDfBQYYcfNsYzFZ/9x2DY8G46x8DX8RtUcnRb5OnnkYUIf810UO7ZgEmNx155G7sRZkRrcnf1UepPx68rWNBj3qIF0keA1d5A8Ll9TXgH/VYU/WHhnBjYWZ2zNK/Xm0QNEHU/4mD8gAOOhdC36OMj6SR8iItjPnOti0DYB/3ke/ImO9cLLnfltf1Tu6uZBdkyQa7bC2uaZpuBA/GBaJ13qUefgL/Qz89Vj6I3ARsjpfhLXDp2j3Z+Khc24fxtdWGzNi7pEUrxGO7s03TqduaNNW5F3azSrMY5+FID3jXOIF5tgpK/Iy16/TvjhWnY9rrFVnonFLfvoanDPcKcmCCQrjG/kwX1oFO9IuZ447P6uHsTpZzJbyWSwUdQOspWzLfWsWIevEj/lVhZDR6GZ4YNz0hdgsuFdi872FUrS/wR3I1fS9UVR6gUzEsTrkyd0/4u2O62vJnpyvJT5W0ACwsnN18lXQTZ9kDKjifOd3xlfrKxJmdcpcFoMF/BgcxwsTi7FrmZ20DfDRFPF8WWC2HQVG9LnOF1n4aJ1w4Ue9srAiDFygGbZq/nzHHeuKaDpLxWn6kt0HXhvncsHMx8TcDuEbM4ZySX+8THSqndvtg3ZIm6Nt33RT4H3vPXZA+cmeZAeNWy4PL2LL/hfmk90fXWSQcYHnL3GfYxpfXvBQrrHnXBtfzsmNiaY/81niAQvWfDSOOj0wDLZ6PCbQuWjcJ9vOguTJF/FANiDak5a3MqbtdKyDjSkGsbjv9ssjO7J/rOM7W8Q/n0VnY9BwxXKnQ8C+MYaCdlXhpSpKHKrcoQiEVR5QE+w6cHE+Jpav+2lkCDLVdJ2LcQGfL5IN9EvO1p+zYHz4I1Cyi4A09H28hjKqcBoeTIoHmEZmsYgs8XwLhkxsKP+C3D7hieJ5W9LJxUzu+Ce4+kITAXbzGh+z4vo+crdHNDqYGl/7XhV22mFzkWRVqQ1r5Ai60j5a/qpwnraQO5PUl1fC90VfDDZBO3inT93adpvqG/AyeOg70cBkkPZ3b7tlsKHdngtZLhjSRpt1T4ycbgbIvobnxjcs6OqT7XrJV4/98nlW+PeToCiIKtl0e/EdD/G1lsvMd5DXjPmWL8OINXTNbugzkfEKPbedGs/QkRJtD8jZFs9kfHxr8dxlZxY8DBZCNuwGsPt26LsUL/j8qRUwyguZGesM30gnrzf6tLDPZInX2xhx/atQqoUXH//xhDdwFOOlbc+/kxaJOPjxHTWN5Xg8c8Om5xrwz8RXYRoJKekFPlrS2na8NY/0z1jnNGi2M5eRPXkXBnfaWOAiX+o88TH7sF36wKb9EM0OgzIZ33Zam07N17x+rHfY1zZUxzzsbHrRS/vYZQtbjFmtk/BL0SKsGLlP7MBPVC7s8O1tj1LIF05dziK51OHhupFP8V0XRmhj2zNZ2/TIrOinC/KXrVb5u0ymYw7nZTviOR+fIp6qUPrY+/jpnvkq7h+e7XOLdrNDtwHpzcekfj2G+LtBiIuGLX3NhZZq3YJe+q4Z1qjN8x4/57rxxyUcc/v6Ptd5YPsQu1IUnzO+l/n8wmdj50FfrQtbLv+5fjBBMXUwnbKlXYHHLBqw4HY+XrMwr8ciUakY3rw0Y7c1CnOmOlV5xe8f4/iuFvH3HSAcMJ5nD+6eQNVpCBakI3GoquPFHwQR0adreieYtHc7uCc4AhgDoQkycD4E5pOXFQkReK66jpkORR7osDe5P+JWcAoZz/UXEL/t1hQBmvdjHgYJb3kt08mRoJcW+K13X2xpAOnMd6/M5jBf24nuijHB49GivJa1h828GCOTntldfv6dP4E3QNiFCyRIPebtcYFMdiir5OfWamU0gOeCvnxclz9b88jfDT9lJ+7fff3BV8sqfJc083nhqRCHnmmH3vaMJGARB87Al4/V9LEeYjJovIKSV/h78UQZHXYInZznzsRhFYPaLUFEkhR+kwms3begk6AhF2A5jydl+3n5UMoIwR28O+2w9yqzPWEKdilo9xkTAge8q2ibv9x8qulcec3Sglhvbz9tXImNEg/KrzG+tvtCx7cZY6tlWHSKhgO3a+P6ddGXbHWyx+rv2sfBM8dOWbVdVbnNQRDUU9M+5yDj3HVZzw1svax6+f9PPrhILhtxrZqfn/M4pTFuCR+LHDznO1WQJ/U1eQT9PxLfR8jCBvclX0SytXYdMqYdixbHAcpYCnx9QSyZYsamTzhNHCvp5MEi0Wscx50PyMr9GjoxmbW8F+we/rxdD4eMQpczZvh64k3vTs+Y5T/FdtwHmXHCYwcfCuFm09Fqj3g2qgNftxfN3Z6J1zn/9Li75vodPGsnGBi/dN/tWWQu2Iyvgj/OeenubUv/89fkrkvx2vC04rnyHrPe+YtjLXVa8KWZBzphrsC/WZwzm67cEPIYlY9jno8sOX1f0c5imckR8euMjbDjuI/XsCuLhW0r5EO7Yzs2Jn9a9IzvlIvR+Vx0e4Tg8znJfODHOL6rRTwN9+UE8jYaDa/Pli6ctcD/GvcO/u24z202H74qLTBPmifQAuSMTgOh5U4T4Nj0XQFq+y7U2S6Dl+SB/XOXmIv/iFiPy2Xg6zMzH8BY7cTYZbglPSE/jXUmSWv1GAK7vliJW/4Uiu7NRV22qy87V3POn8mhk+snMSaIzpy+aFVQOwNWK2bavT6dTvKxjcITCM3mSrbD3YZJsjR1APa5u6wzKSPd52+9PYNGthNnEJhzsKq1xJ8ooGA6WfIFFe+nDfQZfxwkAvkTGDyJa5uLxM3m25Bnma1M8oK7JT8ErNHlM9ZFRj1BJp3NF5Nx6rWLPVN0BO8dDJlwv31MoJDYbN8BaUK505I0fxzzeCI2OihV6PlIUB/snLD2fcxjycWiLtyOpUvg24pzI6sHV5+XQmksx2aNiQXxMxKTGOuE2BhzlyfMGN2Sd9iQFgSuEybd3BGSrIFTS0Uub9F0ffUft+4ZJqJsLTeceggmDtnu9zMvr7d4A79unYy+luxvWigfbMrFCBeF0ttyuwy90k4MT6l36KQu1/c87GKZ8YeHzCOUgN7i+y73L+6ejVzar0NvmldzDK/Pd+/fQ+Q6UsHu4hOPP3981CmPJX0Rj01WfT99YmS1zF6yAHzrwNL1d0xy2u/+2GPaM+1Lfkp7PHRKOstpcn/eMSYLx6ddZS4q+9Du/BTSDW9a7qRd8d3zitY37AP3HTEf8qIcjm6icr5uXavZZUnZ+nu0ZDN9Xy4Kz0K8aGq57C1ZcJ4j/knsF9yGTsaWltHgcfBWWPG5pjMVWOaPHp2x2DH2C9oP3ayxoTsO+Ly3x8iUXzl/7MIhne86+6pxCvTmPJSP5Hn6dV95e0zmWx/f1yIenwSKKgWZqeoAoBh06XgEBU9A4xmqOhe5XfkhONru3NBXcz2rjKLlHiD2M7FaWDFmBEg5JJ+9quqdFY7JxK3pIl/cia+t+3jNEw51/wWYbskxD+drmVPumJe7cp8kAfPZJ3hvnpng8xki8mXy7yQwAtjwV66HlpnGvCUjDw392AaCrgH2sOhJT59T4BHNvaPPIJUdGwftR5DXQixBnHafx7tuBfNP48vtvb3M9X1RdEneBGWjBcGq+TKaoAcmQLsov3iRUuj+w/SM5BbX2Gc1xsjeMSJ4Tt3sw2eJA3TQ0w4p99zp07lb8qKdkr4HBbvl3R8TKAuyvSZZJw4QwzqJ6TFs4VFbc23xnv5FuU/yObqJ4P6VT1z4ys6J130+5nVBkEZqPo8iz2KCCR8Gf1Y0nDmW+9JmfFHxxLqlwLMt5sGzt/LLP+RDTrO/5KqchsVdoUwePZm2OGi8Bg6EjI6ErXQf5/MEsYtXLA6hIBMK38/g3jLbcebNQo5xcDDJfaLtX/PQ551/Plv9zG7Xq4uDfEXsD8ZyoTJ0ggbPTXbM2zmX01LkOfzzWKQ9tnoWgGRfLNY3JuXOImVsBcycr5wv60TYKjiRBseykD/0Jtpp08Q0+OzYrxdvmpZbF8dOnRbsJL7biCGWAy3F/Ftx099xsW3epqsXOLfHAc2eKrAWWOS5cscOxrM1dkS777iWWCZ7atn6YpLH2XXWMQv5R2Po6BRYiBjZ91UFhj2cHwXuS/7NDiAreEB+NeeGC9h2Y1fLKO343EQwWI2YQw7MPowW5EAxj2JBbjQ2tWfxRBN6jLNZ39nVXK9J5AtuO6K9Lrjj9n7bMPiWx3e1iL8vtjxQejDUwrnKAZYg1+eYcLycG0YSBkBDGPrQsl3LA1XvZDDxSjoraLm9tGNop0OWaJkkCcGs72XLWoN4BT/u1bqPn31MknCRhxxedApc+9rky3cJNA+AtvVQAvGsFPdNAmZJ+womTC46MFQGmzx37sr6WPiuJPf5N4LhrUJNm2bx5LwvZfc6ZDth45C7B5vCNRnUUkbgdVGmHpDtPl61Hbx996uvx3zL6fRqrdOeO5kVNHjb7aVAEolN09J8Kalqn2h5r4NX7k6zK8PwCke2ljevR3JM+Rdx0QuEQ3sHxbXOc7iPCfnssLyxD/LZgzEZ/LzSKZ4Nr8fGmdye2Nd29dVztZIjdmZmPt+t5JiZoGv3ex/393wF+ki3LQgqeIZO523dzUMt45lYbffX+cI/IUTIzOgEXxV04nqLgzM38YkL/HwmO3iGHNoXuVvcY1P+2ZVh/vx8ST9WbCBNN19y3xu/fnj+ydKO8FlsqCcxxSdG9w4RTagd6CwG8jfnPUcxOUQs2I8RUF+fe5vcBkcXsTJ/0QDc4VzGBBYsEmvbYzliY52KZowOzp/bHNtnHaPVJaFxPpbrsOK+0bfR1gtaz53cDrPwsYzX2if+7IeJgKSh4V0bc8a9PsdiknweC2/qpEI3E3N88U//aF7Srg6+xtYQz8we82WW0Bvl+DBGPOSi9dCX2dqe/9I2h84l/6IceP3NLvi78BlbD1nBt9hRJlvH9bCdPI4NhkuOQRr6sI0CxJDXuQruTloadz4ucrdiVEn+VR5D5DfEMMpYWGH8jIwfPDV8QzwsxDuMdXQOmRxdyopLucCPXHSHX7/VV/u8Y9+3Pr6rRXyNEqISW6l8GFApwFafxxgJxr44e33Pv9+9xRDkzRwvWvFdJhUXgHIQysp2JJZxzQSsdtwwPAIvHapl2vyJBn1HXqrhjAB44+t6znkd2hFYtdO3h5/55GATyEP+uI/JQZ/TfKfeTFYYK8/lorOlkoUOk0PIsauXdq4IaLcXAflu8VFdrF6g3HcIrAOCtK+K688d2qS9r89zug9jBBAu04nP33RWnUGn/ZjBw2V9JqLsgKDN+VtJYTMVum89P+e8/QqJzfDlcrjZf4YNozlkla2knG/GpIzKHx/hDijnyV1Y88vaD7+OZVzYmy1U2FUHSiSdYcie7CcOP3/wZVBKGi+LLOBgdrcctgaZkS8lwKTvNUDrlodjeyakkC00/vGxxobuWLE92dqDtp7YMDGqE783eDz98tHP0KlE2GgeHH3NMu8kAH+d5OfOHRNntc8jDsLmqiIZ3PqO+Nh6G9tsP4FyPFFesYBg3JRAtKhwXnL31jpEMndoXeR9kGfr4yjygGfp5lLg7jgIXWosyd/UbLFK9uR4dy6CquBTLXOMOTzf7pvv1nwW5Ffhu9Uxa2nhdxtLxYoXbdzdzJb75pC7gpqt9eWFPsnD7WN0suoNfXwRZ8i/YqcbNkfdM97Yd5CByYPnQAyvHzqfL68dc/CJW+v7ES+qOzywA79kC2NXRV+SrdXYgNOp+On5S49VWxhrG3MjqyhqbhUU3xeH3rws8qMm9mSOggGQt9CX6qF9368vxV1Jq+Xossp8oLGP8Yx5/t5dgNS/TY5mc0FfX7+cPp6kjwxbYXO6vizme46RhXHF9/HnyNUKc3txSHIkX4zhfDSiWobV+Ob+SVplQxY5v/nxXS3irZpZ92BBQ/pkpKw7UNO4rDJaVdXJZ53txLMYLI3viZQShyo5lLX7I1gbGJcnYxlEh4cGUHxPx+15+ormr/min9pL+Wws8j6zcMYB9ZaxArcSvibakkbwpWAhME2+fOd02zn7rNY1A/8Jxsd9l4Ci+WqS1ua5qkyGPJi8vK5zMOlKuJJ1D7CZrPuByjfHXLCrCWBntbtoe5T/LBJytpaqgsiyMaUvypZgaq2Ce8Q49/EFPw3UM+Yb2R6FiB7ySCZ6LBX8KOOWH/lJ3fdYnw+ojF19+n239sMq6aaDG4NGn6dOWlbc+WfyYnJvnzWb2/Y5OgV9Q8ucWm+TTqMz5DJ/3+wKyYs0IjtKXdLup5MhEsNry1/4UvsNk6W1OC9tIAolhcQBtnroizxUmU6JV2mjn3bOkywuhHNRYskLk9aiTrLogqTs0dHIdEEu1GXzVQ9OkZ/w6+Zn5gu5F8a3HeGwndkJBg40LR0TclHtdEKnM6bk0r6a3Rg95OdBn1sYFzW++wUa1iVOF+zp4i+doN/50qJJ8hMenLw6/rT8Poz2M0G3Z0xvvgsbd315bjK6B8/KQ7LItlw3uyL3emRbyltuujGseM6lHTJvHJwafblO1vMHcxTLOzKG4L4bVr5+074O/dlueb3ZlR55rNENz1XLOnIh+RLsH/R97tdLQquavvujMNlOPwUM4jb8pufYlW+G9zHNPgbb12E7PIhv9lN4I1vJanTCuAla+AgAdSlM80KdbyKcnT/U97k4djvpk2u+Q/cSxul5Rl+wbe9i9JnYhcRHHpqvxpvEfeEN8LTpafs/4gRxN+MRdZl5S+P7Nt32uQ+TcedCQIXIC+Y7xoJmdDV/mO/Gw1xDHjw+/1jHd7WIz2Bt35Uc5bVA8ur/XI+EoyLoWktQGuz2z6qqrqrnNVZ5BJ0fIJR+3i6Wu8TNK5N+JnH936kmTyA/k4mmTy8j6e8EFCODtbw9eOvaI+HYZWCQ8y1HNA/uANem4T4W2tEacKuBcB08VGnMAb3mgbSXV48J1L4wQjLS8kCCwzmz2DOL/cUZtBBmUNM4/ZjA/ZmhkYOB8Q6e8d3YjicMR6DcNfMmwJ/dGOKRAbZlSxnzGvLI+xhM+/rZ8V4+dnYf2JhIJrQDquuPFsOwberC31OwKpMBJksty0yWVlE3/pxbHq2T7Pb5OMZeRufYQIkx+u4E6KXr+TzjrcDCFuma+3xnZnYuLHieids7jPAXbrl/cQFsCVuRvsAW6N6eLywkYxx7aGbC5vhN2V7nMxyg/Z4FOFX94ZfLbcGS6V6wrGV+LL0RO2GDgUm7znlGP5ty1YKxrzn4aXkWbKbIf8aXKEpMsvUk3Iuy8vhO2VK3/p3venWiPDQ1jpfPQ7vPxJeJ+siRfLZuIOMCfZovYvnz/fzG/UiM+jofUavgv+2/ql8G9xQlnt2reT9KVXwn/DD76BwDGMGDi1je1wJxrO1BvY28L09bGNnC7m3XfHlhhS9hM3ukHS+XleIMdAn7b//Kjprs5MnOAtHH4pPLKIsnM2/qdGx9wY/vGzzDA6+ZmEA8bZ34gn5DxoOnbR+lDZ7Goh+yM7Kcr8k3TS63xe4CX8KPPhQ77r94ZFjW9j9yjyKIyeGMWdNdhPtzF9x1EzFycPx1f59XMaru/IGWjm3X2MNc4aGhaWQnIHeSW27yPX2+eO3x150+46vOc5DfaBQxJwvINxtvG2P8YvGFvkTa2xqYFxBrJbNLkbjSBkTL5wG2dcydvvetj+9qET/B89EKwVvJiIucvxGuVtxlil1PRGArhrUywrlyEdl/VyH5Jp7B2Y5EqhhEL0A99OZ93MVicEIgd0x96FOCwiDYtNMRKcvPz61EYCgiqGBnYEG2lPFShTRfpFIlWq5Bl2Bg8jl54H0j43L9aRc8nLv1Pfwx2drHmJ2IUv451i5VT9/SR/sq2pzTPnwXdyeYDK5HDqTrVgV93eABRX7VNIkP3xls+fV9Y+Mtg5jH5m25LfgS/brlzsSoXO8W0K+JgICe/jH+1qPRxoED9IWW5wtvIgDhPt9Z3QdN/JuJN7VqO+uU/5tkzpK/OgMXeRadGrOfe58ujlIQrbo/e+4vmBJGDT9bidEjYuyEBV+mE9Lubwjv+caHImHoeXJndjqiiLGBmU1Lzf3CpuGL9Iava4HjBUlLXkwX3PXyn9OyuUGf7t/WatjEKPEFTXuPHNghsp4BSQsXwo1FWaASP0oi+1xtLsAkxxvPKceq7mZRocV5ZgyRWFiI3Lh+bKH5mu80/g8bxVHw9/qlBuwsngZWttjtAcDngZ1Nc+cXtJ3JOXIX9iy05vjGF2yA+GY79+V+Wdf708YfDATvosV142MqbvKgL1FjPRYX6DaW+a77p3Vn8r7R0xp5uhxvcg9bSxzGp/FVty4CxaZp2f7wjsVc2B8dBiWfJy1WUGhZg85azkPTkDnszEM8wE+tCs8c74kR4y+fKuYyR3baN/Ipx+H2JxVfHaTpcyxhm9we3pWbMP5JZi03bgxxYWxyJ50r7SNwZ3zinnOxM6SJJEYzB7KFevVLtKUDLvCz4MHNg3xEwnw3eZarT0wQX6TvHrN6TMOG2vrVied/yjvyUcmUxwUPGqshK56rue+x49J3czl47k92oGQnn3KiH+f4rhbxbKuSSFVF7kSgT9oCB8GwCk7z/NsVek86/X5df+5m6831heun4l91GMUqGvoZUOr5VPLYgVIBaWhGgsmjHVAGzkWny4rB+ZPzKXuBw1/AoMFjKakoXn+AsnhMWRfmFr3OVz8moDmWLQTmOfuQh7fLOPBWA05fs9DhYUHO6XzJzINuy5izaIFy8sVEL3dmLVhsX1g5UAPQOmgcugwZPwRaAgzgrJA7k8YzmVvmE7yPiTIXXx9LczO4Ge+0L5tPgWv8LJPc8gXt3S5i5wJzq1vHX64HtzCMYOFQNNx1+vp8k1iW2xwLHKINu16wuVzg1yRSXkxx2bp/Ny0VwdBk3GNChuQ/X+Q2yWbFIvJTdm/Y8vwjn/ttuTHBcZ+ok76KhCN4tvvgUy5FD/bpL9lGWDFGdhcx9nTLKx/9MH8ZmSvOGK5CLonR1fop5118SQ/8Ti2yXrjkewp89wTzPETYYn58HTSDFsqj5yJ9VmAhvqUdK7yYbMjz53692M52e2GtTYvauhv3WJDJbiLFuFnggEePnx4jK+yCnXkfUNj4fTVdiO+kNRJTHt7inDua6dfU+znm3lqA0K7mb/pbxVi1XhsGJA7xS8U9YaA6DPYRn87W7dfh9LncMx7ZDveSbtzGFYuNdPgx2/DNHpG/xe2OSSNHz//qIuOZx+jTddnFxIU245kexej7FFPtcc/A3I0xaeuuU8/nWh5D77LLkTMwpxHPxErXyX0zgBhNXlrGXiwGjoNXjkM/vuFOblyt5/8dz/o74n3Tc19gSieU+8hjZKXChd75ITyRvKOYF/L3F3MHLeU0DU59aMHuawDYBXTZwqId1/Augjx2KSb05w1P6eu31v4jTj/z3YoF3/r4rhbx45ilRas9z7WkxLkeydwcnRQ8lsAAZCBJcHyUzHbptYq2hcQZNOCTwNHXaV6LPwgaL45Y2b4lKhXnqk7L+6EdGPLTfF1RfYEWQSQX0OSMgZnn2Abn1V2vqmvh0UH61FcnKCmjbMFh0tm8MfHlvwd8iovs140MZkz6yXkWU3pO6rRpnHPVND3yH7mjiwB2xcTL5eGB59g5ok+U7qfuh07ImIDWLdwMLgRsBiOOpXPeEnf6JW3uTKjol27j7Qu+81kcOxOqHfxZoGzdi68qL4yYPyPwZIJCG+O/mxcFHpeH036OyR1WWqIlKNDp0Feyr2q9LSX7HeyNhrlfu1hWRKmvguEdD674tl0efJRp7Kr8vlwwUoCTOCApOBLZlmOApiVGkanIn4XDLWPKr+efYg3w8Sig7dLbkaFRyp3dNJY0XWRNGU+y9XzZ7ZXcQRbueGLZfEwipeGVkPe/q4vRsTMI3BrdrOAV8qEPcffxdZ93FhBsrPOlNk/NGByrJ5952raLcegu9z4+QcvYqvnsZaeq6Uz6LA66rG7Fq/SrG27PAtHG9Jfx+YKgH/Gjr5OWZbZmdrgwP2TkC9LwF8R32/l87LaAW5IfiiefvqO85hoUs00uIY+9R3fEpGXzrdDli8AZf2f3zGNjS7w77RgT/pb524FXoEVjU8ZhexZflvRndOL+528+zkS+Znf9I/Kjod11OTLnfKMTjxPEHZNj+OXbeFGKQbMeCD8TztTYgDrg0rbbJrbTEry4bqCHuQ6xoHwBqOs9/7A8Yp0yrgJWQA65OdLnstDR53o+2hXzH8avjEvDM3G7xxyals1zFNBwW+NO6rIeGfXLX714DjpbtxbDqdPwz4c+fzxSmMminvFq9vHjHd/XIr7B8hIMCUZV7nitFJ7XOQ8y+tTLw3zHWp/TovV8dzxDkY6IcwYQJRCZRPuTRhl8FQIReCHI3drpDUBhsFWvlnm2q573ZQdEPUH3lPu7l5fwxitQbP+OoNqBmO1zr3MEjG339d/eyg7wRyCvuu0Wn0GHQfNW3Nj4pPwJ6P5Sllioj82VAYxJb3HXa5se+r6mi1XelPEKBTh4ebDpT+lZzO2Q7cxD2SS4VutG7f/JH22cx9sEzHz4NV/Kirb6TrYTKPEs4As/XgLzRLQLYp4UfCzKOuRismLgd9oPXjHm4t0I5IdfbyQLkDsT5mwXsy4JYAwDK6bV3PBrtrMxefFE9DUBz+WCzZL2Nz7XjHGRdd3thYzs/SdB+7bv/L6TZ+nok/Pt+/Wyw/P5PSW+p76l37N4WIwJIZ/rIhK03hLL0WXYhbCli1jLbSRsp21k/OXjLJCLL49Zr7EYQ4hhWJxB/oeMArcdF91fpjjEZ4NpXktFkLSFSYbjnCWBTJiHH+gLc41PFHCg6dnxndmDv2fCE1H5/km77057TFBiXyU6JffTF2kn+saxZMVYelyLNrcsDyN+d7GMHSuOq5Lx+dgK5J84UpCZSD/keFxfZyypor/gcbS1xE/oyOQIO5Q/Q367Dtu5Ffroz+TlRZ/myZZy4tSMveSrI/flYwoPuUByHOH1NXqSHR8LsYKtkeeQ3/ko14m55K+vP9rpeZ/haVVt2gJsG7yyC3jv97jDYiNziKZdOlpjT4yJ1mVZkt/wBR2tStyXfbRRr4f5zPWs+AV7I19l8Z33iWf3vTdddeV+47khC2oR18r58lxDsCYf1N+fFEKF70FfP8bxXS3iszWsKpLHx8NkLBmwns86A2BVBhkkSaUx3BDkNIXrs1Ks67PaHVXhDJ4MvgXazRG90tlB/l498oJHJxgt24LhGs/j1B6YJ9QGDda6B3oNvLfP70B9RsNOJpS4uRzzRRRrxXOTwwvGDLBqEFyYT76tG9m+yMOSiElU1ObEtvr13PHV73EzebkIRAGlqVsLcvQA6zLOJKueYPi+4sigJPk1Kdv+TWld2+mRuLaMc0F92njwEGPWM1b+PGHTQt43ru/L7vRt46V18rpetFfJ12XjKrCc8l/zb0pUvhG013v5Ux6T3FrCpuT2CPbbMaZPLl4zdCZ/OLc4lhbnfQPHz2IN56Egj0JC431gNI9OGnvsTgDWKuv2aLsyGYP2IyakjJpMw8xIpuvNM8jkZ2iRbLJLou0yn5FMOvMneXbLtDF2eIAgKc+SXXJ37eAH+H2XnydevTgQX74zLAzDjtqYzotoixtBE/myXSXob+Rejn0uW39Pwbx3YHTDnWDp1n2vRC/u4zXN11u7Wi5PXp+FSOraHnXAeLMI4dijG2LLgs1CjvtdvGCBy89Z3nLj2a4XLtmz1YKPl276udrW0Yf063G6Zqza5Dmxcx+0cMezdclhjVfa1S7LPySHpkGP+qj7w+327LqhPytWDl4Y7jfOKa5kEaqGTvA3PIO+Prtooy/G+Bgm/eRo3S5/tn2DCI6Z+J35utsObM3OUb+nHdIfyYu3sNdjz+XnYMf5mEEV1hywE3bDkEF9JcDvW70jao/tZAxvHSg+CKtfeODvT+AGVs9jeFpB38SXE2tbnkc8K8eY/q6o3/aD/veGjy/dX5DHLfbr9u2y5jSbOnpsdR4FkDxnrO3n9J0Xgn/M47taxGfbTJkxS/Bz/YN2DFxthkxeqt4Y8WMQDPisZr5I8JdMHEnnMz6NssoNkw68QAuB6Z6Ee6C9LTxMfnb9MoDNXd+FUaxCepMj7uujrzsqxQz8Fef2nfZMAOb7Bb0tX4j1/GpN7LGf5DGCYPNislo3GffcSBI2gu3YEAdzwBzaH37s90iHLy1u37UY1tyPwLAEbgpusLf2if0uYYN/FRKbrSS8cP4tz+Wgf5MtCTxau4rzOsgWZM2K/SQ2ncw0DRtJUnHXUTTT7v1Nzrq//+5W6OxOoRyyKNH+xiB6k5XhG3yolcjdEHUMdTB7E22gh07YtAMRmFks2KECP3J3vzEfLBRaoYe2v8MG+jPk+O5RFgV37WAWbWb7rkuYjGzmEifGngsJAOMKdGSyAg+3zqHsCmqKjZfto547GKccLZaM3iL27MYKxx/x0ztbYf/PRGzvHXmUcGP1WFt2eNuJrznHnSCXoz2nbOeg78LCGTIawh8Zn8/4yncZx1q3zfN0Xn1oYWu8t58hSbZCGOSj+84Fe+LOzTe4yID745N270Xz1oOKQmW6+YCs3J4uC79y2on/72j3TRUden7XxyLPn3vXTz68aGudVEu6od1zV7UJtF1U4Jx1L4RvSC4u/8+H2aZT0/ii6fRL4WHGco+tusfGLunGZUVbT5/3gg4XwCz2VAnLPf/jIkk59tgV+Di63CR+bCK0XW353ughsHZJp8dxwYgFObBQO7KB/nIzoPOIjsns+CI/jM0p/76mxyV9beN7aN+yy+T5guncMHj5s/sji73uL17w46AWB2kfiKlXHB4Gw9aW8166zHBDBVMUfBg/j/u844CHy5gxIeyfuoNBtW5aJ76pQjnei5Tf+vi+FvG3oFEyRnt7duk73SBlMXBprFfLX3tdJhPdbveixYNZlS8YZ6HIANkAlXzBeQ6+EBRFvHjOwRwU/KQ/9+dGm8kPz33iXJmh0xEpR3fgdnxb8F3o5H19TbPMBKCvNZ75ZQRKgkGCpIFQywQBnNX5nO/m3N7mJOAn7+zU+OETuoQcLfAEjh1JCABH9MlOynQTuw3ka+SSevbCgN+RAWzNqQ6UnDfn+Qjamz8+S0hiMjnIg90fteA78MFjkQHaadPezibac0dxFhCPH+tlLmeiOLRcNMCFx1wNe58gjmSCNtCf6UOzsBp6drGK/66i7W3dWwupvY/EwborYLPjQ9U8u56zSEl5TaJhiZ506M/VIslnEWb0nDsyLv5jsWUG+SJm+Q2WCC19LVuo82BHEzsH+l4tuuQ/rbfal8UM7Ji7ekWZld+n61/H8cgNkqs5BlPkG7S1ty8LM37imfOivHPxvwtsXBYqjJFB75KfSoVum5SxbAcv6IIueX9V2bkes6+5yZh+Y7ER922b55S/FSKvdhu7h62bYrIvP9OCxWPqkYdsys51YefMN2pstSOE5RqQWVud2zSLxQsvukzcUSGs/cRoL8r/opPktfwdF9adBZurEpZNLH0muBYSngFoH7yv5cGC04wd9rhanrCFW/H7VoBTd0nnf8vidG6qMD6z6FhV8/ilaECR//lS+F12ZHxxGV82GMCPYoPso2Mq/204D7zRo4xeWDQcBg3S36jUN0lMXyg2pi6L9qj7NsesfHTs/KzA/nnPFfyZHZjTMbTLYn2Ev5GtXtgZ+pr4Hsos2VDzbnJHvlnB8zv7aMqob9LCri7Gm7fFdsjjEaHrBOeavllrxLkf4/iuFvFWYZqEDyAZCZ+Myw+13q0xLlsYVThGweA6LAHQ+mD7yqoIbD1v3JfG1QuJ2plEy5jHkXYEjZIBJoi3/Bjk5waT7Um3XhQlTqrUpnptG62CA3swvFZuIyDkkY4/SWUAU8tnAmU74vDCgC7A1b9rQFsJ+sI5Ljz07wSDLA4xKWAC2wkOd+JHfvuUn3RyPmP6CvIqXuXijLYpfyGYbveDXeDf5d/j9neFzz7Y4mrnAN6+24BLGBgYYBGAbjana9zmaNFmc1Umfw8u+7i+5adW+Zdus915zn2VjGTiQHkmzxGI/NyZgKkjZ5st6T7uBIuWr5Jcm2/VgRVjV5i35XfMA5kdO57FtmXfIZGOtvGcGM1ijC/Q92E7CvxKjuccrmfCMPcV9Mzk4CLb5oEvLvOFZu46+mKLRcebzBLbs0136INfaQEs4pXMtVKDdvhGlSeg5IF8caFNe2biWhW/KlCiU/p4fbL417xzvoIcFu7VSxGVBL54eO3A/4A8gpjBpJjt58Yf4rTvwJXFIPf1E9/0XH5ZHGu9dYIpPe2QMbFPOrn54HGOPJM+8DzdX+SvfEzyp7EYZ4LnsXdf3BHvj8IdeS7Jx+dz2VGX5DX1zE/aIX3dYmJx8XTynO8ossUqfENyDJ3g3Gfwc8ZNFF02d7+JB695WRjxxaDn2x+hN3YQHt0ARWx3/7Rd34sGEsOSr9c1wtqPj9cEV196eD6K0UEXZS1bqbmIC+PmL3GVOrSXtpH2wOGWxxSOgO2tH8kdRcDJmXqhuSQjfHIxf8aC9mvG28hrDUfYebgOG7jFHnYqTv6MuRkvaB8aU7HcbWFLD0hcrDviuZ8xIHPsHmv8+/ju/ZroWx7f1SLeALvg6AB9A4wwXB8rEpuSUViytJ5FdbXBcWwFoCpvA5156nSoI1BWXe5T5O9r5nqA+MJJBcM38rN55IhDe72731umHmiy4HZUrQdoI7ntYFgNbCkrLp48GFbISAHWW71zvo+16ofPABoEOjp1leuCO39zLgLl5jnjRfJgsiP6YJsg4uOxuSmQBIE9jwVYJCg1AHjyx86C93YIcASPt2JNj1kVQFjbZEO/fPHIa85F0NhX+It4eO/X01oXsurPnuhYCNgY0OXesjXO3fStZfLOZLNlWLg+28QWFHBgRCQFNlYpAcg2Pb6oi2Mlz5lQOX9K8mT3z/UWfEtvXDefYHE0j3OBSXmfdrGuSaNktE3+6oZBLChPnEUJcbVtx338vP5SPHyuurXiMYG6dQfVWmY7h77hEyyATNdNua2PXHYnfqGv5G9RDpHEFXX/XkZsl+7jSFKTPtzv84VOHh0Tn4y/wOGJGyW5a/F02txPls5x17GP2bnDc9t3OV6KS/i88XXEwbbRVWO3FWO1vTFfOXeqVQxiPJQ/g87njyvG1/sFdMGuTCfz5XpsOx6b2K97P0zu3nHXuuEjOuwW7LGycNT6ou+2zEZGwJhmUjiiInNiGLFMC40zRvpu7/lyvezay+4d+r/NR77Cl7hzfD4OgmtuMSHtthxH6df+SNb7wt28Eb7yXMs/+TpfQFuUO+z4NRYWtH3tli6PnyB8DtJF3R7FzdDDrSBsMi5dM8W28i7ho0srfEKbiGcs6DgrX8Iz8YVH/T7yPQdlv9dedXY7DH3ABZP/M998t8/7jnNhV1UsBDt29jzW4RGxZPBqeczbOHntJuJ3gx/KB7LIVrQBDvYjHN/XIr7KDL4qAmQEGVV1XQkW5AtGMmPtq1He27J1XRqLGfF2pxEtS8Gjg3wFsAO4Ww43A0955MlJHj8dkChbPT+pm/mzRYdzPzemnR+JSod70leS/3pOUocG8BUJEeTY3/F5s1lYYT4LsEUnxTgPg77rJXDWdQ7iaTM7hEWa2TbXsrFd+tX8nAUSyVZBxvWWAS+LKNEqVBe9IlCajS2dM1qgB+rE/UWLqBqeozvASTgWCH2fdPIuGQmfhxzXOgsy+RgJW+KGlsrHYzpQ3heDHxebLfx99V3oSN+duyc8zEYhI3/uDG2ctdx+V+itLm13lHHPA70rEVLhjgto0w0mIu1G38zkfN2em7Yd4c8u0rjtjdxb95MI6KQngYktSA4OuTt+23XLMWlkhbmtU6MUL2z3q9bIwXZmYCl+/ZPU7VhAgxdPkjyxzATWvoMchYdeVMtHTI7dvKKsIk6s9cau7guBLE5Ib9zJaVoSO19j+uLRHz140dm4TUxaNiY7KJIG2QsLEPvQidkAZJQyrqVFeC3GdffnVTU/E2b6TjzdWtRYJwR43aZv6uvEfevAok5K93Uu5DnCJU7DdmrzvQqSP5/zPuzqke1tAa14eMqDODy+YLnahu4hK/Arf3lTrLzI2OS4Gougk76PcXDOLZNxf6a+ePRYvrDXTrDtCAfeHEWiJdxRVwVf+CdfuMZ8yC8LaHafYa13t02BirKFTke2iFFNJ7i3eHt2B7lNsKAwa4gjN/Hiy/CM630edfy8ui5bRny3BYrSoGEKFtuLjdRzxsZWAH2Rcmf+5vkA+Mr7zEbBc5XbY8ZI6JSxxOWSO/iMCaKFse2KSeZnOnKj4GKO3+z4vhbxkwTSoTxY08hy18zU1wqagFXHGLOzVTCmZwh/TlZB3p+1I+09zg1IY4HDRGPrfj/HCiR5eN9OLxrEF2X7McmF3znOMkHxcQ8GJ+MHuikEmZHtZXG2/L7jmKQs7/MKLmVF2rPlsK+zheaRTDMIA/QGFMSLeGgaeL0H6QGYpXn4Zv0moq+7LQQYzJjY01avQXu/0U0kL4eMwXNS4+1NPHPa797wM8xnSQIDwq4jgbglRMMD5rWCDO9jwEteSzbNrpuZuxRAzh2jbI+kXJYvDjCvAhB2ASLp5CJr7Jc6RDI4MnojK08s8zleFn48+SQuHjuZpPOwua0EZy3ZAGknnm4VEmxhxKRlb0/2O9khjj94ZfgUuDoyLpd7+5Jiwmn5xD5hRSQTzfszFlsSm8+2AXskI2ywv6NvzHzNX19PH0SCQv8UtsTCz2Rcpx32d4MboL0ah2Gjz0TsKrr6YMlvvpLt3o8O8zved0keeR3x+MWeCtuM4bmYtFbNqjgnGnrRXMVunyimDp3b7HOFjGi/bBeduSijGR3yKO50Y0EMe7DuFtzrvMqGRm+QNWekbs6x1oUHvt18m82uqqeLTjuL+UicdVQBxwv8JdbWZp7k8pDNXRYJ9Y4vxN0t/vORD8pq5BD2NLQcNAHbQR/PFc71tS1j5o3+PhHFrhcRL5n+8Nl8eQGV82g+0g4cfv49Qh/5Oa5mrHLfJe1ezDN5ROxp3WRMoM/NwvmZkHrjI0XWUj22emIMbaA53mkD6Rtm24hZ23VjMQuxkZj5Adpvtu2y7lgs3B97ztymXDcud91HnXzQPqpj1Rraa2QEOvdJXx57v+v6o/ydFsZS4rB3JUoptI/bWupbHt/VIn4M/bOqoPRpG62zitzX8GhgycrSfjyWgN03EFRr7g/j6DHTeSqdG8ZScOqtUwMw5QF9xrwE9GFinTxXIVgfPKtFsHfdh76Hv951FHWU40XGlow4+PfECbzpuBzz3qK8bPzUje47W9PH+ZeRVCSTVb/mN+nk9Rx/2/UICJCBAiRtdWMh4NVZ8d0g5dXd9Zw0ICwFyqErEnRPBvo+t1/j+Qja+YeCHy0mA1eVANfAuLwLIe1RunHgbV56sbea12LQTRvwAhrZMLtYjy98Sg4s2PGlUS3j3DUYHh7BeNA4d3JmbtBw87OWWePB1Sd6voWktvy5Neqp+bsXGAsJFVsTcd/gsBaWpw20PGSjlpzyvkKBqu47MiZ38NL3fUA3Vzwtydrkv/RJ3zWfrSg0Qaccq3cUlSgqkZpF1vy27xo/OugjnkD3jjtBy1aRgn4iPqMIuJ0f6y6p9i/vcKEfFK7jY1eJwwV8NBkv58sPGZL0RxuSjLyIQt9lxDgXk7LjBXvC4n/vSNDPhe2tPTWxlrpqat62p1b4V2OJxdtt97F4SN8wvIKOEgvN/lsXC9df4xN1KX/mTnrbvezi9U6Cn+AtY+T5VjxsKV9lDEyyOMG8KnxJOLrOsRZiMuW3tWDJwqLw49LlYDpVLNe868h7KO/0F9p722Ph9Mj/MxZN4CFp90f2JEfuhrJIxOLc50PgYccY+7T7x35TJ6mvDdrL30XF2DNy/NS1/d3koPCJwjwsbE0sWYg9dcldx4aEuRzzXB9st1ViWGEe0yHezYO8tufkiyAzZ5CeiKCQW+cTtMNah4z8Ptkab2QnRBPxspk6bEc2oPsyNzG50IZIS/m6iddX+ynGajorZEQ7OvHm2x7f1SJ+Athj+GznGUArAg0rNsvHGnDVPXIaKdad1BXLyiiv6WBjrZZV47Y3vujAOZ/TWQewHDxUy8h5llOzwr/n3Ox6LdHZxsxEQFQT7C6BvGky+vb9HMBKyeeOc6jImtNtc7q+hwGOgYHJKlgFLZ4UmIwNqB3Z0vHXqkEgtTm5/e68r9x+E4Qp/XyBiuRBIFtGe5G+uK9athXgnwElgFAJAIMaEqh1WYyTzht/DIp5De34Qgt1qrGQ9JD/8LNaDC7yjRfNnTC0bXpAzsIDdXkGIsiqICMkDrqeiwMuxJwHFyDxh+30CHQzph/W2WQY6IXPTA5qnYUVa2fb8n1P5rTTYdhQ7htZ2WcAF32UI+wDvkSMIZ0aO4ohl4Shmb51B/UEbYemm4XC4r69nX57kjV+0/jBZ0YbR1RoFU1q3TY7cVIsUacuZb9OnzqH3J7UCcH22XoSJ7auqnBUTV/QWRhzroFvbKNFdvy6T62/bQutX8ei03YsOYYeqJu2D55jEctjpPv6Ll2Xi//UyeF7E/+Qd8z4jNOMVYm/sPGRS8exe5Hz83MHTfuk8+DhfPlf01uLeAC598LjTbE9W4g5Zk/NlmidWxb75QvAsuff2RXk8ndMMn3NPBgLuvfHSeK+0HfF2BaTee4RfNJE/+SjpOZnoK3nIWb2lyooRowsYpiKSuwqqtGb447ip+Mi+U+cGgUU8x63w7lvYmPmkpRR83zG4teYin/qQt3HucNfSvZclTx47jtsbV909lj+aE89fiOZsqOvZc2usbfdRO0L2zFp1kmQTxbWm0Dvzlpmc6GuyZFN/k8OY/nSYQudV/V8kml213LM1LvToNhI+Te9ToP7y5lgfbvj+1rEbwX7qjA4BFHewN35Po7q81yeySaAos5kRGp9XWdtaWu53p/vru30loyAzkLweAjOhIZ3KPCclWnKz1749IjG23lcVmxV83NnOyblyITbAHTFJ87J2W60A7Q60Sbtnxinmq9z90WO/0p8CX4etCFP0vSGrwar1yUOaKkbk9UtgEPPn3HSAtD2AouB3L7IsUA7eKVt33SZuxr7GPNcjN9BdZsulXBksPGkMZOf2yE/jUVGYMTWREiySguB7S2xTCjZCp0ByG2GE3Gx5b4OUsBD2A4YTBnTFzYuNptOmW23kwQL6jnfRr6W7t+Pkm4LdZvO/CV2JzpIgwTK1hP6NbbKeToRmqQFvs77lODcn5enH5gcwl9szJGV/EB/X7CPunku2tU7ugu8KIEepfWYW/NXy7RAQ+umYr46Zdy22de6HEJGsIsIs0rWES/qmVtvkFZCxMWgFyV84WyyPeTY3zmGrqWOmb7IYo4EEwmp8HTwfDst2VZMeVB2r0XheU0VdGc4IIWlLnOXfSgODJJ/vU57wcftvw+97OqAgZ4Ctt74eJ+vYgwVqNYZQx5aNq5TF4fkMQWBxftV/KKvs0OBtBD/0xeSZ2KlF4C27GFdiklDl2SUMZWi9bjnCyPJ+E3BFHQyzqf/K19BgekZoMfMYq28kna7nzxJY1rHkMUJ6aRoqzwmLyCGwXfqjDkeN9vrSfuy+XqMzIVMb+WY27R3nK/SfBC/+/Mjs9OubgtTyY6CGZ0U8d5xsW1bfD2561axhnFQepNP9PhpO69zgTFLNpAdWCOH519mc67msMd12FrGyLr5TQtIEyvfBNYaX7VhJxGnB2rXxCfiJPOplv+PeXxXi3gaujvr628Gu5Xnnv9SMbbwuAC7B2tUzovBXYtHvihDJDfIyREN2DJoLxieBe9wkHIn8Pn8O4jPgikDB9vFcmfAXvI259ZLnkOLzzgL36KwEPiDTmvZSWeDTM/d9k7sT1A5gSISqbanz5jvoTl3JCX312gNTF7Rbjpho1t0HkC4FWya+Bdfp62ZbCN4Hs9ShTx9vpr7KWO2m2brWdrj0FLpG247O+5v/fiz4zWJ/nVMC4bLZJZJQi4EqsrmrqFBb5qmncz1xXcl4P7x8XhE4jmsJfegHbYNPVIXbeuW0wE3bslcvoWWhTrKtn2Chbcs3NHXE6/o64eMQfNtJy3bio/AOj5E3BC9Nbxul+OR6Mm++hGrua/WG30/eo6ET5RS/uI6kx6T1fB8wcXAdEssW0bb26BtzEJXQulkj82FxNhA0sdExfBt2X1uhyvkv4RdwDcWUzb4EM02pNt9yHgUX05LxmnqhLdxpFtBl/dl8USFRcVw22XerfsT00bGNxwYXT5jm36Zm4StXfRlrcwXbGZ3xCT/iDfZgViQ2ezcl2ypcM5jiR8TQ/Z+eMzEfMVY8cIu4Ifv2Alfk5ZawiQrYJTv0nuBSotJ+SD0Vqtq9OtdVrKZewzRCwVPG5CMPCbwUJwJ3W7H5hOHsfhMHB7cWXM9O1c4D329n2Eeu+c8jYGkvajLth3kXG989609FQoDhlf6ZCGhvyOupg0QB5oHFpWnuISCfkV8zk4qYnT/231XMmi+ZDuSFbE8aR9/pP62n+Pb8HsidUx4MWRopw3URcaBmcbzkQ94DPEYTgyMImDBBtaZ492K59QpbZRCTv889BU8MA/Ieb718V0t4nPHtJMdggOd7fiucK7HNONvB0RS/SQqVVUMILnz+RqrQdWDb893a121ay7ZiAxWTrBBsAPneyDs7xjQe/yqaAFOQy8AjAg8FwK3RKUdY6EaT8dHQJ556h7k04ElKlRpV9O9rglp87d4H5OtWnadAbAFvpqF4CuZY9KigOKAe/+ZGfLTtDTY8TkzypaLyNZtNV/mJzegjgVVBFTin+mSdnIFc9g9vvPr11zPRHnZjB6cmu62Vk84yJ8/F6eixj4SsOGrKXrOpY0WaJds/c27LxqUFFC3eXiQAi0WUFBFDr+8FctSR7pPsu2FlhIMYCYWElVMvKSr1kktJuOXBf4N4EC7yX98XYF9rcLzi3WVUe5e7TwH2XacoP/3TY5zwmajb/s18zfkdoszvjOz5jt/sZ18uGnnY02JO5IBFpNLfOULnERnnbQAm9kiqnMXfkpj9G5S08hd1IL8GV+4mN87sPWwNWBz4dqhZR0ydr352/BNbyO/QaNZvNOG8t0OmQxakZPYYr5EOWqsTBA9htSpw+dL6qvnb1uxFlvMmPyceo74RJ5L1+biWnjs81kB385tyB82sLQwon3Ucz3fQ0KsqIIcYScHLRnrhvc3RWnI3O8DxjPWvYAR8SKwqFSA8DZw3ZfxU9dwDpxreweOK+ZTR+Bn5PG6gfbV8cz15QW4tu3mIVu+mz9hena5pf0T117nuTOuc45J1InhPfTFeRQvHp63eD529yMmOtb2NbRj5XxcvM/jK9W430jj/tIayMUqczvbJW47injRWGu6oKzKC4pH/tG845q2gbaVw78GDyEP8yVfS+k+fzfXJqGQUetI37pf5nxFbCZGVCGmOi3Wmm+46PlHuMY3Pb6rRfy80O5xOtvhfjzTW1G14C4YpQw2EpvKhE+Ay1akrHL1jJOMTKCT5t/tbtiOZPArMA5wRUKT4M9g89WOen83QaK8eq37JOPPJDB5Nzn4OV5v8mcAMnA85WFvb37G4TNXOV8HfEvmKKu4f/RWCoxy6NcXlsQB/A95IhEiGNSKcwBjp13B6ZD7Al2hL8l/HXJxu98jA+OZAA85GpB10Nguh3lMA3ydoLpNvx5QKDMPolWgJezL5G+JvWxSge81JuVnLXwlWqmT9Uxu7WjQc1PfeOPP+p84wKLX5hWXoJE7K3Punb6ustXBYiPvo4zb5rLIRP/sa5mUsYCUPNMuLRCXFw1Eg+9CsXiq3/89k4JPjDk0dBIzdAK/6estV2A7F/MuR+mEestukb5W1/szi7UfLOLv/z5CsPlKY6VOPx8i5pGi53vturRPPrRUtC+nr0/SlL73VXE4EvrBuSjWmJ5ZmJVuqqCTddrHPKtbjoEzVrmMRofP+K9nQDtx67ZuL9JrIbFGxrPbM3bs89WWzOWrTnsxvpC2g/bXAM3HFBUu2HC2IS/DmXxkqblmQTJzk5Fn4zG+M3wjlhEvKP/ymMCFh3bc+Ny7DPK0L/o1H6WhXOjXFxsPvUlfjzw/knYujpfNTdwh7R1DuOvr8d13gk3uG3SOT0InRR6235d6KNnFMRZiCHfkq9gBgfvnPmDYh/5NPP58gqXn5B4/y2Qlm8m4xI5Wa8Pn9SV5UJeSlYpfGRvTPgZb4pyK9OFL7QPAe38nQcZBl2PGi7ad2waZirXo1Bpn0jx8BKHH3OQLtJfJyhe7pCUxwtvw/Uj7/VjyneNFwCUfPLtbmsHX4Zs/kP9De8u16fy8yJ16m669hyaPl55H/BjHd7WIn51P+45OV6fBrnOcrEhVyQGpPEu0x6iUDM6ibjt9XdWf+0o038yBgTwDJWlaK2moADS0O97mgYEPz8+VHQQzyapV8zZTJRCrOr3LBRhvzCq5HAmOCxAvXPMBJgRIHvC4w+VBxoNNz+fPXbccWHGTAnKXwxOAfYDXTQ4ZKLkAHJ2UL9RbxJ4AuGwFqhy7ZXx5DnL07a3TKyJly6HwOTbWWRn4ev2tAkf6pXhfIVsmFVrwWNDe5brZl8QGSQXvu1ZbMe/Q0POEXXXyTJ9dCzr5eN14+Cx1At6VqGjxOJ9jVyigwRboJ9dAObz0AnpBDiHrgh3Cz+w9GFu+xHbQmW9xTMi9Wj6ZEDmvxLfhZ+n+lGP/25Mx4WPubLl9nLLitXZu/N8XkZLxbfEKf4kx3Qb8vpYLk37b0ap4/Gowlxh/+osnPaTzdbIX+lUodIBPjaUkl+Pfi3LkX4sSdRhsiyva0d+ybcSsQ8Ylffe17eN2DYDVbQdY9szNHZkjTkQcZD7RiwwWuvv6xithDXwetjDXl/tl06CCc9LnMh48NAWcuiyzK3/UQbf5bhQ9o22mTWfXC5SUmF/e2fJOl4Hf4pm4cX8BXPPMl1tqcNwH6mlX84hJyXb0QsLFoaoXjGlPjDmfOFfQycSq5+T57hrNw5iTBZYqxIkbllFfj60ebcHLi9Ljw/DFnumum+jiwPzC+3iG2eh7h4FvCkaTt4Q9Ra4lf36dzWLvS/4e8+0+xDTpIRe7yuU1V9CSfFU8hnOLxTYa46DngdaRU9IXYzYX/12caD3ZNS0pxJP9TEyeTW/PfZaj1WkD2gRbhj8Z/9StEAWBctuewqphoRmDdAuMFs3Qd1H+y64x+VO3Jocdevtxju9qEW8vlVs14H20W1+cp49JigDeY3iFJKlkXJPwfix7fnqVG6h+2uFlEHQMr2a6Sdzp1H0TPOP6rOBqvvfPknjFXVfYYwIYjYmDkv1dZQGknsDaZ1nBTScVSCaYW5U1+LLErZaPuV3GLfMV8/mY5zN6s+Nt4HgmJTcwSLqaJrYU1aEv8hGBa5X9drGfY9Dk233B89CctnZZfPb1ljxmweMS5HnuYXqshv5YNTuER8JQddpqXGPFl3I7jhuRbEpWmYBRxi2/8eciP8CbcnoOLLrJytUW/oKiQQa8kh2f91H+2hksyLO/yuR9rTzHhaI8W37jxbbED1vYmowv+DbzeEJU4L31pV0QYrr4VgdFJ2zCPD5D6C2QxPFIBneZDRArPOm5YNmK2EP5QSe7nE6OabIq+D7orkngynRiMm56n8/9AOlMAxugzRT8y/g6ZPQ6+QEeSHOPla251m0GWRfGT5+vAj+BO33S/GbkoEU0Fyqau455mgcVIKLDr1pG2s3uApd3eLhdNX899h66SKdjhcXNIqbTxs5itF2zm6PA9udzaDccFu7zSJvTyO7PFkvm3BoblG6weDQbgNw/Uh7b/Lk1uh+nMuxM/ywVwaVL0iJZ+6I4cIpjBjawdVpdGMLWs0si6XMMPPQGLOx5m/+7L7lPVM9dsBPMp24A2cArZmzzicmJdsbBe15buGa+Aj457rsvmO+ukx/ajucRGTcxH2R18qxhXV/kz+Me7UU46vkA45rJjHSaDRCv9HjLqldM2LXRsfWuc7bc9pq+El9WiDRMguHPmCHPFXxBbzw+3thF38tNz4zv54vtFuRy6uGUI/y0dXLYx5pYz5175oQFm/mxju9qEV/bFfV85YHkMC5Wc+AgFcG2QlnPYKvPFar4MK7eNamKVsihry12WwIx06wwMqPJAbcfIfDgG+B/M+IBOQVFS4jKg3zSx+C54sZZRB5gEkHqkRWV19f0ROLLnbMKegZAtVvzOe0jcA3PbwLl81feP2QCxIv8jMxwDuDGAMSXaWXQzUDcwFalgHDbiU9fsE6IDQANPQ9NSMBmzKapHND6854A+HNZvEsy0n19zp5Tq3JalhbO2cZ5JMAhl06eqOjWHG3o9c0ae2IBSF0p+63NnC1a5+Lx3ingtMv+m9dl1wyd8xm2ALnZGQDBEWA5fgQpw5ZIBEbGI4Nzh+vQZfluRi6qJUfhwgT3T+mhKgsPSoRmrE9fYNI+6CfEbJPjrsMOqSe3tXXq0vxaPjSYCQzy55Rr+LPd2OX63uV+3QlmLrinC4zJWcpjaD4xkz8rZjK66Ffy96LQ2bZ/Ft64GJHPLxuz7apyvhHoKatbG+3wjOtV5FmDmdzhkt137Ifv1zIbpw1M4kwZA4jPHdYXTfJjxaOTHy+eeDt3haRAj43zkhVpNRweO15hQyvOnTH1oLf2Iz/nmbvmXhSt+gkMbORu9MmeTQbUCf0ENI0PBq+mG8i6RrZvXghWlL9iXfOl3Cv9zDEwA7XjxyUGDQZ6fsDCgt5ovj0PiemUm+jf4scfcWh9s3jFtvra0q/yzLvNvu0+uNhxEyZc2B4nHyaO+J6yavkh9meHb9vhyLoc29mlw2Ll4M3Y+COrGeuSY+M6YrQ23TzOUkYf0FvPo0cb4l0GBZ2Wzze0P3/QX8znHq2M3sL+vEC1MZZwmH5s77ro+8JfkElq7C0ZnHa841Epyl9rB+pLuB95DmkJ//yWx3e1iM92Lwp6HLi4EGO1OwO5O93ca+CIubccS+2OGpNjs7KkoKk5eDDR4BnbIVx5jmMuG+y28GvArDeBqKri91nDaZr2Tcm/CgqzY1RlTrMext61YQnsfB6f75mtA3IheFSZjG+OWOWt1P1zciOrDX1fAC0DFwMR27FSbyMDglbQUvxuYaHz6LtBLivZnMfaqTCfLzC9+sxgJn15RZo+JfmXjdn3Ud+bg5brhveN3Obc+djAyD8wfPwyrud9XY3W9V0kg90/4+aCe1MepYD1ald8eEYA18JjPzJGgM0g01fRr7fClPEQvqSETzy0r/puQ9sV9KyLRzaZaHN+K8yQuC1sySLR1mCmSyWIZ3LmftaoUiabW9HLHuHYGoN2n7vFVY3Nji0wBdOfJRXD65siCvDD2lpDN5RH66h5b5thAeIj9H3MlzaOeVPG5gf4O3GY2OA7uyV/wXw2j8mdMWsZzhkG0gcxb49ZRp8vIg8bL5etxxDkA9uxsGf03TkvsDR+sK27ux24ECaOD1ZA/ubPpXmqysbKONay4Ttemh8+dmXdA8VFuHzd+DJbuBSOxt/oE4yJa+wkbY4LD2GtdFMYI3fb59ngweazWJyL7MRa280rnEs7HnnW5AWFeZgbaHHSeH/GuJfu0cGw1CmXB339LNYv85fETt6/7O8zN5RfE/cdNzIGs4jqOKeuINoei8yJ+8GY51M4n/nL0L795bQmP/DTOZvHTS9yeqFjYTG5O0BXbT5ORkzyXKHqkUfBtnFN0ll1KVw8hGWss+5YyirOTQwpj3uWK9SZk/SagHYrbNd87I5NX6pDxmdMaBkV5M+YT3mkL6Xf2O55iW6LZ7Dn4QFj8hANzP/K5H7Y7zc+vqtFvN4IvWehMyC5I+ErT3b63wJXDxZVb5KQnmfHmK9TpuQxftDwDGHGlViegb2/K5v3ceRFg30ShttYoKCN/qudeLZOeTDMBVzPeKlyV9w357aCDB0kksDCWLcEMYFmeC4kUMEXg9O1alpuO9LpmwU+kCkDUSeWLU+CVn0FIpYkgL6LjTYNn5Qj6MwW6MPWOuGCPfaYLJAUgyFkReAl7TnfyL3BcVh4EXv4VNIZ14h3jFkRNKDD5sXpe6aHd/S5qltV3f1M1XdPUMYGhi4lNCzC+P3nAnPv8sTB9N42984WkPS0jBgMH30szM1dFPd5T4wGOyvwoDxJSHlKl3XMS9xw2s8ChDBdixJdQ6Sj35zBlx08R2AGTl0LraUkqL/coGG6jEZbKmDSPrxTgPLYk7SwOHQsvMvlTn9LbM+EiPqbvy/66nwr3+ExcrvYPX2d7ZzUry9Qt3TSNIQdFuZ2OXpsrX3aUMen4n2DSXXomYXMfIa/pW3PznaCOLbgRfc+FLvEU+teiWicewhsOgeLYA+KRywonrE4E1L+8oN1Ql1sQRh7l/HNlxSnTx9UXNc5dd2wAOc2590RHhO8MJO8nzJTt1M9MU470MYz+BLmyT6an+r4vC4LzGJ89vyjjBZfFFb/ve58tfyFES7jOmTk+nrd/xLIrtLvZCdewaZZ3Bz8gI02veIrxtRJ+B6LBjHPBQeIEcSwaqy1nIs4Cvk/02UxaGRF3K43heQSDaevR15cWuD7fdAzZDXFq9YbeNnVcSjzPhX1pG8sdmdMx9/T14POsZWIdT0f8p3TL888xHRpmBlFQNBw5L4jg7rw4LlJ3ncvAAGnjkDoecWPdXxni/hHNYZ2HtQ82J+J0OvwamQVkkcCUzi37w7J2dROrwB97tJjJ8IMdtk1TmWA5c3IIgAR2HluFg51OptoP3d96WzXlvm9bd4ek47PwxdgCRT3c4XvOmAyyFNPt/ahDECkxZ8xLeOh8B13nqjnTEbSRK31CcH0Rd+CbKWPNbTfwSMr9LbruDzZ7NYi0kIZuy5PeY5uKqvye84VEpwz0ROYf6yWOhPLdbGFpLMLCrDf5boUnZfF/yVwZadL21Xb8iTFkBkDwW3BZwlUBOvCvKcPavGjR3eEH1yMO75pDLaUNi0jD8zr57KbIB6zYKBtPpcSMBJgth0+WMYzsG/oWoGLXpjSrhxbGfm8X+oS9vXMq50iCZAdJYY7obex8fBGL5S4PvYz2B6dxli0r+pEjX52T0Zqkh73QS2kHeeE384X9cWE1hJQu36HPUEOm7rpa2W/fNlrFhl8kaXY5a2nXvy2neOhBU5R6xgbp3zM51y3cbcv8LGNthXJFvh4wVPiguxXerZiPuzqGIP6fWMPlDv118Qx9rD1XnpD7Ljgdw9m2FLOM+3+pIEyQZHS7F7YxZ3dKnWWZQdhz3HEP8id9N26gyT/oP2CO5a3FBZ1b+TBOOR+7fGC/pbHiL8x9PCbGjxeS7HDX4jZY1Fu7xY/y66lbNVqL6zIBb7w2ItKZ0dUdGOMPHSdtdpn/Lvq68S+WkHLo5fxAfOJjgXSPe3E7HnskPGF8gM2bdcX/bp5Np/YtNew470PLE9cyA4lvmCUsYDxxcYqxwPp3PMqzsdcg0fzTx/Jc5U+MWNu5wFDC6MveEX5M74vzWexsYRFfZ/kfe/o+9bHd7WITwc7nnkJoPZFuSpZrlAuPr1qty9zt7LtZR1zDdpzCgZeZS8qOvk6kwrys5AVLzvXYNQ8LzhuOEahbag8yeqr6KR9vHi97zLwIgUb0PlEyL7PQKedjHLchTfGxvgAxXcg7glA0rcPh3c56qR2/C47Hw9ft8cSmq8W7OrvioCE6wu7XUMzbHs7zZxngmCAeMuRds+DAWF0VAjOFjTu+rKFYssKutlV53cMUgR2jE0+DzDf5fTVWVmtmIdJguGB2YBXkTuojc3Bdnr8BvZa0l/VsnNcUFHfh81Bp617vkNh7sP9aQtc8Ng8tAULgiGjY0wPop48nlhYpcA63w1e3QsQBdsm7lBG14Jn2g7kYN1EGMcVkP4GOUIuffRiwuJGyhgykE6EFeZLxedV08+0K3HdySxgRshzYOcZlMlq44DZcQnXPGHz52ndrlio88Xxh9GOxGs7Vt70ZrI1nj2eMVGUDVwwehXuI17h+d3EzMILo/h78biGRcfzXQYnZtMXTJdLMjtbh7O4GRjRNs3xQWXTgDAU8+zwT9lhdjOaneyQPwUe/pI4V7Uwt787gTSo2IOiUr3e0eC7xSr20BjSP/kdYMdxp0TnLZ4VzideTWEavPZuL2OB7fynP09MTTme8Y/HPPc755buGxwGXxf9dqddLcek9kF2GFgRHHjl17gPCmuD5xLPdv1hQxv3oXjefgkfNZuDWfTYR0v6yP/Wvr/weOmea8YW6rShnm/0XHHuERzjTJXmU2fOi0/lJo6rnIcFlsabfKEduw/mz9U2njTUQZ/JtpQj1nyH+LIRj8qLhp9hBNmlKf8UP9lBq+8Qgx7ZHfGPYxbp9CN/PWLkwZgTvvetj+9sEX8JMgG8n2EQuTiukkJtB6JTcTO812dW4YtKN0dXktbz+JieFPCaTi6GL7tfjjKgU3U4om5UIWFkhMQmZVQmt6yaxpu4QTl3u5IxT7j95JetewMGKMgMW5AjAXcTHEMcFkgiORjefcHCsTxAnPLsTwM5jKXrL4k5QXXr2sIYt0SvL5yCTAnQCIrXhcAAnwi065+JXTf6F0G8h5jA/+iGJ70Dxe9rMM+OA9IOMuPc6deq/h/mOHbIZ5CpQwvyVWYP/WZ90zmCTDMzraHP5J8TUBR9b3bVtFNPI8fRoe8MVEGXsD3jYeEcsWxzsbsOnZ7PeTqd9oKv9IkdNhC8TsIM+gpjGdYar8KnfoFSzt3J5suuPCGqcp2+s4+aayOgXyI5beFsY36zCB/+PEFpGhzLlMAZLbnICL68PVhGY8kZ7SJQk1hpbZxY3N47ttit09oCzbCr2vquaL+gQbKtg86joENaSsnc6deN+9TXMr7Y6dGrhZY330PyOoMkf+mRv57wXTGv7Zfyoc3k7tPYDPR98zny2rPmu1PmueEq2MyFTtohZG5yB8bbfcVcYbtOQShxdI38IkY+tNvjDJRB+TuK2j7ykZQe8uMxOot5yXP4JfEn8yN2mU0kCPvNRa6NXZ6L5jnljbC5oi5FOxcl9ejBdelyTf6Ojq1Dbz2m2yo71JpW7wpo29GLx9hJ1frUZgLtI+J1CIkLbdGuYujwgthztKRjyPn1koIfPbKy92aAFvrx8eJVk/EtTosG5hp8x5PPI3yiDWTMvmEfddo24JttlDVsZ+j0TRXLTa4x4Vwf9H35wkrel7rZJuN398V7Upp3YHr7a1XHxksuyVhQZ8HjWx/f1yK+PCE4lA2Q9IAnC8pWPHriOMvWtX14i60SdQX3WKiPzveM1QkLD09U9nGOdN/uy+fHCD68nxU9e177yp8bLBe5oEgy60A+Z6gTAUfu/lFflBF3iXROurm9LE+grKBmu6K7wuEf+bUHBQgZuDLAgp93z9g0LzYWeLCixt72XQZke3nMnANYEXCWeMzFEHk2cNw4x/s6MNQ+bJSVX7M5BnL4CeU3YzY4XvTtQSMTlTPZrJ7nmYEFk+J9aQOFRK9e87RerZI9V/duRF8vHXHM8b190mn4EycZoK+6KXz5Rqf6zt9xcT7uEsF+6INclnRVRVt434ly25HJXUDuprZueCSmH+30TNoHh1H8e3SpnzX0hONIjAKnrr4bdIqf19nx7xVjlWhKfVFWTGrb3vlTW02Mt1lm0lpjc3sXEnlP3MRzKYFr+uiXiW+1TIeHPZWwqIsok7iOjMN+4S9HwQLzEA/mXMb+nd0HgemIOb3oasGSPi8Gyvb6k0V0i/1N7+jU73vRh+Lr4DDtapXhI2W1PDGn/KbdGVxRpooh2AjZygtSPiOzZ1D6i42dMi7q+6Rz5inZfS0uWCLWleTNBX6PPYumkV3QMvys+U68wq6gZ8azwnkrioKPjMWO2y3/MxbURov9cdJjyL270GXcg1q8KOgEMiKmH3bxHFxEJt7vHbnJFj6y4+Wah1ztQ5+Zbw6O4r7x9YM/3SibWTZOy9aw9pHBUfgJnxicL/kWO5U+7RxoWd4NE6r04t/wsx89wOcndpx40DigXB5F+mciFR29Y7etgZuZrcuUAzE6Y2kfxJR8jKfHZ6eBy2OFTv0as8eMCZfYRRy95lzl9uVdH45vP8bxfS3iN50I7dklI6vHsdqB9KIod7Y8mNBwJ2GVj5/tXk3XtLF8wKgYWLcbmfEF59GYDo4GgOUO5YnKCRRz/XZamvYqgciZJLwOVsud9gc4PsOhljsIrydNMw/B/kgYPAk5dvrgzOnUXMTkG2AtMJR0o+QH1z//HoeXAqr2xhiS58tGuRNwS1Ilvyrv4lD7YcijFHw7AXB7ZIEqZDWfAqixPwagkL+1304g54K5wZ/31QQd+uCmX5ZAmYasZGnPXGMXDGCWAJ+2IzoxZicAE8hB5zF+y+yRM3HgElwag5Qc3JORKvFH2ci+pK9uKc0W2/aX1C00cOqkEKQgA45BPR9JzNKntWdP8iMZz3z79ZfxtTFWSTf8u5BYKsn0gs9+/qffzvXEpj/zEYezOyh4T5y72dVz4/y8Upxj10PL6HjcAviRPCgRw5jlSUxVJNp12gfx59ytvPkLsKzlv1021F9VL7J2+IZsJPnazzw1WOvFucT02m47jXm3nZK029w1r33q9yXHS+F094j02QJ/pO9MaFn4a9rVDScH8Jh1yth36eFfLb/hQc6h73whnP6sHOMmR9ftrvadMzF/hByx2OnUQr3GrvxFwx4L1lJuws6VHJs7wc37hk4a46uUa+gZdSy8y33JxqIcUv5rHTJiQauxzEW1zWY8ljCGeL7JosGB3zt4GJ5P2mkD/KWMzp9ZCO7cq+doWeUmiduVHjcYDCxd19cM+Te7L+lwUV8zzxo86Pyl5pzjz4h/ey55LNaWxj7wd+4Dvs7JwLJnfuYWlFHLcjpDmr+Rf9lvwnf3DGNIF0rGmRqf4gW5Pc8n5zNM4jPmsYlADENsMDtagXMjK/fVKoxf74tD1l0R8dPyzpmPOZ7LuG0hHydJnxh9Be2fDEw/wvFdLeI/Sw7SB4O0VZ36XAkk+7AgU5E4lL6jsnldA26DXS/6rYpHwiNIrTjpCcsF6Os05ts8J50L18ezTZPYYMylACEky2eGMPoET1RyR47rcEQGPPIwvD5ew+Dr56CjWwAv13Pzp+QdCUo47lqXnbsiGJMWghDOgeYpCJT0yuD7unyZ7dTl3ASnAwhD35O8CKizcOHyD1lFkCH4K4nRHfdWK4GfSPfErTDW110S28a0c60bBnsEMNrl6HLpfh7SzXk9W2vJ94fpWQJUgGWA+MKOyXOFHDG2JQwRnaxNDH5dNpYSHfElHDmw5Sb/7WPJriWH9zLWmBZEgRFHQQB0njLyJHX+Ltn9ddc3sEy0e5Hn83IfK/xNO5NGxp6JD5CR7RztU8/k64VFwoOrbxS6wcw+shNiub9QJ4/ijK/lyRU7BZbJ1nXc/OTOXX73mfNV7mS6jIkjLmMxTSw0+7UxCzSo4NRHFliOOP387T87hfvLd4Rf/rKf+An6NNTcJ51Ijv1vk3Gtub7HskS+bnKIOAb5WJdDz3exhWsXU4xNegcHIhp7cQI4VVrs3jsNhAcfMbZhktm9d0yYXKrMBhJ32rGbH+4kjn5LfIz8IOM5Bz1ci76FmAJZ9ZgpD8n/defZxeE4J77W+Dp1NJhAXxqdoJCYflbeFeGFO+nUMUMc3grwRTk2Tf03dGh8VRZvtdhNrG35j2w/gT8RZ2bxHnqb+6527LR7QczjCwuLlLt8SHlcy5rdv/wFkJ635ZidhMSdxsN37wcaU0hfx6cXEZfTgPuE5cy/vQg6PmtYy6JNYCdjHf5N+d9iUHbHmU6ufi19FTD6xzi+q0W8DL0XSJdK8ZY9cOf4VPZlEVkesGznFMlLf/ex3HH5QqrrbnHTFCYho/SobbTQ2cjP8vvMYFeMVXAMyKjqvsAfWe3bLr3vapjcKwK5s/UWOJWgRCJq15zAWYVK/aVLouk82p43+VPwmQR9Be+1RDMAtEB7LsZHHn3b4iJGgSRENGPkM1hVBLdMjtfYLXJcS3w9uMWCm4lNBNgNms6Ap3a0HrvBNJ9R2jnmwrxBJ3ciFYjWJMenvyCoHXTK13fz+lxAn3I50N6X2a3tvvSoE3i8ZdvsETbe8jyryEp6mGQNJkEXVa6bwt8aS3ZZ4H3vsjfjuqw8QJuMC1jY3ON60lSXJHfkACw68S0q7S3bz8B7zD07wZ9RXEu+al3PFfUAMMtkX7qkLbw5VyHbiUexIAbOWHuw6VQ4sNooHuplj7D1rUSbrflegEvfEz/H40IFuzJ7Eu1luukdIN8ppf1yZ6vlkrLqpK6x4rYTdk86H51ivpZaPqrwwpvCT52dbd0ua+nEfB28j8wQK5vHLJL1PNqVC/tvvhCXelIWSOVfbefni/oOn2qbixhZmuLh5SXYxBZKqMenf1ZpZ3f0VcL0eZntRR6NEbNwmE/EmQ/FG6OdMst41vbUtLzFTtFekTMw3h14WN5x8Qma7Ui8uZxrmuIU7nNsbwIs3pZktHFtf/c5NiSdahFO23nuYwyxOPiaqDuTqO+RLf0ZvBHz3hWj6xIvBqNxLe2IhSDaVRV3fbHYBV8Ws+D3lg+3LTQtgz+wk/D5Q5c9L3GjZToy24M3VdGp0b4AH6Jfi+czt7FYdclbiPe3Tl3yOsdFDrRV+VTEkkL8exzgLAifctS5e0y+xYm+bzodC7KCvg+f/cbHvzWL+N/+7d+u/+A/+A/qp3/6p+sv/+W/XP/j//g//rHH8OoyDnzHxJ47aYdzh5F5RempQF5eaGVVv6FLCdHRArkJkusw+DFmOI/uy13wPllybhMDK/VuecfzsSvOfYq/maQEBvom55OsJ9ACaAmcKSsDikhQEsSzKlwxZmWwp2yLQGpijGR623xMVO5BvmxM0tW8EFDeJfu5U80xrC07bIZAc9hjnXKcMS+/ANDJUutmAmwJ0K47JY9wPKkIOhmEQ27vggDP5SMqoknXVrEd9izk8Bm9SaYr6Fukr8c87bCH4AvgXvfdFuOig0GGRRjKivRy4g7tRwKQ893OQWYj7xJeHQGPMp5/72tCqURgX32iBWp0mg+qGGLXY26dc19w7PPvzp1W2Fjc7zq54Bxs0/FKC+C2JZvvWPCdydU8O15dnBDt3Gkhn7mT7PoSYzuu72t5rvGAx/gx4mfGy9Zzj3W+DJH0LbvvXavy/LvoS77wK7sPiXP5LqDHIPqwL457NNLsu48vaoQHmkOLIO+6ufogvm1+XA+yAdmFH1rcxlib34W+gE/U9+aYkFHSKR7cjjNhbl76Rpe7/MTw5lGYir1LMs5YR8ydUbfZaGILZd0xj/JeD9HmE7DVz928MW87sbLmeiwUIXc+pnHotJbpao626dqVMXzwNL40/K3Q5UJOA3xtIXV+pdF2MW/JDpTWpRcdYVfAm73zXD1y0ZdzffBiGLs8ph4xKvxa9u+Pr8jX/T1X7TfGD3X6UJiYrDNL8k/cP3Sjc/SJ3m1nITdb+l8t9hFLii3zLHRfsMIwDLQjHhH3O/+458/kzy3y6KSCPHS/P9JFHm7FOc//9uRzTQuxpmoZTSrECVyIKW3j1NO7Nce3PP6tWMT/t//tf1u//uu/Xr/5m79Z//P//D/Xf/gf/of1q7/6q/VP/sk/+WOPlVXacQKg8Vp9nS8UefR3tkOFMQcw+pwBLRf4AoNMBm3M1233RUbVQafvNpxGfHOstWp+GiMdY9qpxrEEaHo+SHySZ7Vn95irBm4HKPaAg/S0dc3AMxbFCQoDps/omRQvv6bnue3yVAlUvf15S1Z725j9vfTmlfe1CEhn0aWBk/O/vktAgy6fL9MuSB8LQD0uE4ZM6O39BqUJZdOeUElW7xLRFfJQZZRBVI9WZPCNn0KBvtj+rPn62bAam207aln7812UMZPv5CGCIYK7taluB28GutpMXth269X7SWQj3EtfWXShrMLnW57jN+TBfVfzZKV+CxchP5iHaGlM+1Dil7ag3TMmRnXaDnju5/2YcLh/hQ18+vh6vpKYu8ux6yxK5MHdl9HJko4NH3GOOMJzYWrjZ0qWlBz488m34onLvW3imG+deivI33G4zCfGdyehBF/09brockOXzjUSXi9IUr+0k+sOvN2Xi6fGFsVB7nJyQiuaV/s1OryeMZuNz73nd+LzpVzG5XPfsRDGPM3nyLbnayXiPqQtzlf6erM417wGYpG3SgkpC+/qOPJHmGSbbo+HPReuRfzsy+gjhesYpw/+LB/gTjDyuWr9Pnj1eb6UcubbZTbehLFoc/WJiYcbY12KZPCrpq8xrO8TNomumQ94BfIcWx7JjG44b8azpvNtDuVxMDHWbM787IZX6BA5co14CezeY+/N1+cmX+gagRyGryVdktncDDBdIhfieN1d1Xmm4U6dXXWUrbqK6rQF/DGPG3Es3ge+Cj5sulyevyRftp54hDsx5JP+7Dn8HvpegJ8bQgsKIO3v/MsX+HcboE773NvcZHwq4mBJz2cnpscuvpyvbQxqN1qIk5pHoHR9/GEd6vrmx78Vi/j/6r/6r+q/+C/+i/obf+Nv1F/8i3+x/t7f+3v17/17/179N//Nf/PHGudWYTqqi7egAYeyCn8CLhyWY6lV2N/a3Pcd7bN7HwYhB75U8QxMCvetOPcEvuH5XhGsvL7kCPy91bl8xcIPxt/VUra8tUspIL93fC+6+CLQr1eicTo1FirlSUxhHj4b2IcthD8u9lGRNNmYJw9+X9gC7ImB5aB9AqsSgAzyAuHbojrOYWxfyJ4gRL4sQYwAPtcg8CzMX+TrCSwb55ox86XlQU1AL3lKHqGbuY/2seNczQhgzxLK21gZ1GQzLvdHDK9r5rk4Tx1uRb1jh/ZixxbkIexb6zCPm95mnnrzeAd8Qp0oms+KG23/WzSwWHP4fPUCh3a8g7+bHM4E4PadFa/av4Bd3o0BuReKGbVOOcJvUspZdDG5t34Dd9LufSzJNFsFX4/X3J89n+tLhYiWe5Xjweg52KEN8QVCPG9F0YwF5vOvO5hssri2R2/5fg6PjcQ3FggNPyhbk6N/TxnVG/520DdjRhzUjnCXY1s3is2uZ8Tmni/t/vmHxRBeP4mr22+PxXzHFyG6ZnKaJT3nOcNM2KPF1mcA7tbb2C2H5m17m3Xim3bCHlmNLkRD0/uah0VsXFuaw2NrxGngvsW6Eu2JmdyFHblXy/Eei+dc81miq/BdQITlcbcjMd34WsLfRoGc72ET+ZH7AnVJnxg5buaEnmsovkhvOhcvICyXcV4vGh77KNGrmFOD26+fGPXuIJtvR2H3kQSLgNrk4GKwaVnDOzubqJPsyKnCRtcqzL91Xfm5kUfkbD0P41hu8Hj85DpG138+2NWxu5Zi9627lrqnHduz98Sy8KG04vQzOxd+7TRIRp+fNRM2tvA+0XLmSeP79Z5Oxpeed/K358rm88c6/sQv4v/wD/+w/qf/6X+qX/mVX5nvPj4+6ld+5Vfqv//v//vrPX/wB39Qv//7v2//r2LSdCZ3N+C1QMlzy5Wcuy6dlG2MZc+7l4OXvvOK3ovmfQB8B/uqbA9LsHOjfN26Dp490fOkQDy/eaHPBMR2EMmDLewKYOKPQea1SPbAyoRjHBE8WsJA2ht8qK+ee+/DoaxIQSCErTSQ+n0CbHYOZBcHA63vbAkcODdfQmK6RHBr+vIxC8mWL7uLBX7loxFaZKQvHDzTJ/B9Jgr37g/JoWXMneDaFx8kTRif9sRELnWjhYj8xV8so+t94XwIFNdIjpbA8jvKfezC2w5HD8CP4/lfkOCtpOHrlNUWHU6nfKRv1H0XGzLbfsnasAFyP9t9FRQ9wRHtKf8s0rkuT7zS37FD1TLeMXeJD+rNfQ8Fv5sPluTI+Rjcja9HGfsh2AsDXswwnwh99W6IyzR2RYmL221JOu0xZXOiRXKiMi3pn5j1orrvt460sJkDT8MenJ/W34u42f3eXOBX9U5mH0zCQbovIFIOsFE71zyMfJaSafju3tD9rvr48O4bJc5bz/gu3dPyJ9ayO8jt0W28Cp1AuL4oY/DMuG4xpGmo5gt4VSoo6tr2rW1jjjwDB3hfxqcsSIw86tRJn9Pbzkt2P/JoG7gXr5i/SH9edMkjcz377opJXNh3zJFt0l5M7nOuZUtbO3Mn0sdHqw7f2r6As/s+XScvWbGAHHYC21Qhk+9TYLwVpr92e2Hrj+18fKTP3mzniUGk/fmcTiooO2McsXjyHZuHGyfl9xUff73hR/jZ1tw8l50X7+I7feiQP/h6S0shNsNPmO+oyH7+KkD/3e+Ead0qj1iymS19Nz61nmirFgue+bJITz143GSuvG1M2qjP96xDPjVvbm51Mnp0BUAn5qdNc9NgOHAWKcwuLrj9rY8/8Yv4f/bP/ln98MMP9Qu/8Av2/S/8wi/U7/7u717v+a3f+q362Z/92fn/L/7iL1aV7wDVkoDZzpPy9irylsE8itV1SuwmsABNaUwfMPgJAHS6S5A/AhBovO2YyGkeZ7gA1C0wZFDq6+35+nZaO3fuzGQimYG8dcK2xaGPDjxJBZ3Fk9P2LUsKD3ncgq4/C38GtXcBUgHLig3HfRI8OyHG1gjiBJbnk8Hz7c85TSDHWCOHp6IaqE8b4DOZTd9UiGHXMz7lsTPwAACL53zB2LQPD32uHHBZgKBduT1F8Wv5fBSMBY2YT7xXfEd/uch9xl5uH1WHrek+BBAEroWxmz4egyNDu/NcpXlF56pMsHusZbaw7dxcU9Jp056txjwSM5vBfdznfsPkZ8YaubtOJRvt4uZ9Y9P7mRtdRGyz6zv4iAMfF2hJnLq56faSMJfbTlUkLUF7H0dRaebZD701uLeHdr7BP2wh/bQ4Ju3yRdMmDeD1JU/nuTDWi3Y80jL3kj6XEhPX2QFConc8GrQdSwofu7TgJvQNX0jQtIv1+oLdUZQLddn85Xeyj47zry8av0enoK2Au6Pb55M0WNtt9fW+aGq6ciEh3SzjXd8BF6kv2HnTzpc+yj7CNy4OQIwXj15QOO1Rdlwcf+S4hy7SfuyKFuwK8jg7t3Bj6LIxtO/wZH8h1il+kubhq+8Hr/3J5953ycb8fUSknzutwOy9h4axgeSrgMM75SBeXjggPzZfotwod8Yz6NliAXkXafDrmpPcSTZ54j5iMt+cThvt8Qczzdff2GG99+eM5aIlH1cM/O4x8W/pruZRG/OXclp4cOe/45rWGI/9wx6twN34Ua6n9pfcNCLNHs+oN/n36EkmJFrID0HsObieOLGsRidHZ3ABA8FfVXS8gCbypVwbvEcs7cNiVpy0vDHu+5bHn/hF/L/K8Ru/8Rv1L/7Fv5j//6N/9I+qCooiaD335A50Jnp3wBCY93Ve3eogE4kDDK93TJmY86fKnhnHua+79cWEhYanT2vBKS4UPeB5YtOy8cD69kUSea64iEy+liUQmQCP41+crZgIAShutI+MOtgCgFuXBZ34zqnA+7abPWPRJtYCLf4pXVAKz7kOLptjBw/1TvdKHIjvLQdP7Am450KzCkGwqjjbsRinrS19zoIKE1JffA7JbSAX6usixz3zpD0etkB52phRbS3/+11RqeAvbQUuY8h96KFNswrPljpdp3avcwHXY/fnzFfSiQLzk3TuizwYmJ8RlBhF0J5AWXa4XZ2Fu3Ne+o2ShEmOU1/jn2uSyJaP03fDtwJGgOaCTKuTmT0Jza292HmO3TzMZ75xSbLe7e7rfvrEaY99nQrOnqi07lkIZjv3mUQGDZtjOw7zeseDr7+jbjg35x1f+FBBLNskuROZOq3yRO1M5u60VwVu1+U+6LRmrMdbEQues7ajy2fiw3UMyzg38cBHTtpB5/PHax7fxcuiXLZ6s+PNigxbmFKQX29aZPy0eEHbAaYcvht8jStuYBKot0IkfQ/50AfnA96Izn2RAXV66oq42oe/CyVsB+NbjjF0YSzD4lUqAijfeMmdfpnYQpk5LfrlEB1n3kM8jQXOgZ2Bi4jFI6vBtD2you09bM+Yr2sofy963WLIcHTRFx95MhkV9IzriVNz7XasFQbCn5d0xJjCMWYhHf7mOU3mbGU2bnEwaHld7wW7M8eLTcGNxf7Co0sWQ7xwJLrqiZXv1gcvb6A8KRuLa0kneed39U5GLe84V4pfpgfcZ49Qt96gi7bD/nxOHoV/G6uELTtkdItZ3/L4Uz/e0N/m+Pf//X+/fvKTn9Tv/d7v2fe/93u/V3/2z/7Z6z0/9VM/VT/1Uz91ntjuDPZd3ZKDE9CooGN4GMCxaNpusHOMoVUYkAxvnuNCEMgEh884vu7b4TzP9av0s2Rb1w6ddRqeJQeVnQJavP9keZHBE9Fs4fFK2QB9JzZNQySgtV2ert52tg6wHWQIgBe9Pd8RXHXuJZlDb5TV9t3mUS1t4QnQDJ6HHMsDgoBQBYgE9s/96Yl9QZe7rudMN3vXqo+Zz3YetgCx+WGVm0F3xqwOlGG/kH/TdgB1yJe+MG2coy8u8LUbQt0wqf4hfimiyltRqxjcbklMy53XI7hPZMc8+2zRPINo28CexYzoO9vxZ77nC+ntDJguR8mTtDT+HMFwo7DY9nsEbdmEHxHAKhKcelWPTx8e5zhkJnt+XcKdpmsH1dwHuwhMOZMr7OonS+DDEpZDN1UkZfjfpxyqZbv9MRndx8KA/P54GRR4tZ9zuthe3l8lX01ZMDnjUEcrJDBpZLVSN3x3RPjq4M0j/0/JY95F0vZHDISerM1367oqYFJgWf+DfkP6FLu0sOVLtTKxtBhXUYh46CMm9e2kvaDToRl4TL3ektTZxVuyCWjFE2X6By5rW2MbbN/Pbry9V7UP3OKfeJANzXPK0Pfwbjy7L73uxUZGnfLQotd18jrnupRPbbs/Cx+SY9scd28lpxr/zEUFFpR23x6+qMtbV0vHzaO7cLdOREPT3aNPxxfm8LgbeNW4BhyhLnzBXWYfuYDu649n4p8bRzf8Obmtv6vcF/tgsablYI8l4PqhB/ONL0UcO8ZETMhY1XLzxzQ2ZLr907BWxbMinSZb5cW7kL9dsdbtuPmn3LOlnAt17yhWrqWX3rFDqSo38iiPWxxUUU35yvjSh+ziMxhjp+JZvDoX3M18j/UBXoTfWRATF2yZp00Mf4d/RtGrhQ/+360Vv+XxJ34n/t/5d/6d+qVf+qX6nd/5nfnu8/Ozfud3fqd++Zd/+Y81lrd1L08y4YhVNI7H6TDOzWCZ6HJH4TXWmrEIqn3MQmXfd7NfiQ3ms4CnQGHgVTA8/NvuC6Osvh7JQdtfPqsokHQQ8TfQy4iz5a0v2c+XbLWqkuPzpTqUR+5sWbDFvyVjB2wtdrEjmE4a8hh6oROnibQ4GBy0jG48sczdlLy+gwbpq8L7B/CrB23vZ7uX9MTkM22HC1rR3r5wgurxUpbkCza3i9/5c68NuKavBNXFBP927qHX5MgKrC+QpDe3jz6yujvJnGHK69MC3erECInC6gUOdYpzkBH9bPgpYVknj1zsU2aDF21rXwbfMxFgAns8k/aMfltkMIA5D164UAFE+JGtyi2PfJ6xMP5JH3d02QLZSUvYaC2j+WO1ZNyObrqZy7bTCzLHJnh8uYuyeR9Z1tz5HK/518gKCWMV5O2k386lXJo4s6vKuILvMk4Ud6rDJwo2U1qMSve+IDA5chzTqXA76ZzC+LrwQNozXsCHk4Z8FKN9JOOYYdI+aR/fZTyrmrGC0slfquBzFQid8zDPeRefq66097yGYfwJsa0OIOrB7Bh8UYZ2LnxoMOwiI4jDsMiLO/Jr7/q78+7nvOhFHbr9l/CQtFMO5fHPz3kM6ZO3l+5WNVZu2PMjyzf4YTEZ2Dw09LmJ85rn82J7xl/YScYqxkr3WZd/L1Y577uuvw2jGRu7+CxtzX19HbxunG2cs8ff6v1O68Tzz3rik/v60Dljg86SX94wgjGu6VUseH37+Qjeu4LOWOcbal3U6HwRxS7cx3Z9rVnkq8oVunCixT83f2h0M1atixzvj6q2TrNji+dkex0zFVzP3HKPnmX/8nOP/dJRKyA7jXbQwFj5Yxx/4nfiq6p+/dd/vf76X//r9R//x/9x/Sf/yX9S//V//V/X//V//V/1N/7G3/hjjZPJUlWZI1p+WDRKBobXlzt2s6uvq2VO18P6WJyHBhsghKBxpRfz1tWYlzmbjcEEYK6XwX3uXX9qsRK76ofPDUdmICfIfY4cHXwisCDhvspldILCytDuIDd8VcvvLLpoQXu2A7Jl2OSOYHZWVMV7A3frreeph4ePWvX5AIe1c1cG0YfXJT4/TY7nYjx36Y3nkoy8ewNV2k5k01YjOI2MD0BTgLzZmvjywNXHx1r1Q/muNFvqeh7bfVGMf9nqp5IE8bBrrQ/oSkpllduSnv6uLjwwoJRA//z5RE/G1Mnw+q8KI9uCaV/BYlnEin+pTgHtiHng6qo/5c/i4TVQVo3d3rCFz8eqlWx78A15ivZ31e7QpflgjW9Ir/SD17fq3vAkhDJi4W5v7fDp8Z/z+dPX+MIWp1OB3Duiyq7n4cHewa8TZvnNLu7GrSWbaB/sUaclEjtcPZYe7YqCNfXVuF+nrd2Sads5xh+TwKELpvNzxjbKzRNL92faVZViMWnxGBJ4A7/LZDgTbb4/xzFCeHocoIG8tJ6GF8QSdhgNxowvIR6tY5qDZ9p77nQnr6dP9L9dl6S9F4reYUAbdRv3nUXYMfMCXFMlnV7fM9O5V4CRdTJUFE8eJ7jF9zK/gd3vU36yOfIDGUxMQDzcO3i8LVScZsMknrvEBMq/gLGWo2zRIhyQbfO+sutlx+0xWUh40bkPu2oZaOPqLIKzcPRxjBn+YvTtog/ukXz7lRbePG473bTDWxHLsG/zPi1Me2x/D8Mdr5qf2YGHPA/ffa5tAu6PEin3PHJJYAM3bFgkOBbltczuhSOnPCaWjBUhXmD+Dbk1730tx7/mGIwNqcuWWdtlSY60NYsXYdvZEaUkYwY3vVGuvNzi2shDOkm+vvXxb8Ui/j//z//z+qf/9J/W3/7bf7t+93d/t/6j/+g/qv/uv/vvjpfd/VGHkrSXYl9GxUDkxw2wq6Csdp7HhJTs9ILjNWiP8ZMIDDSmXMQMDQPeBKFOcDBv+X1MlmTeAOEZs8puuwRYycGran1SO4rcie+kc4XcIZeiI+GNs5bAyllFyyVhqFgoXsHnnti04//w+Wk7mlW+6P9Yq37YoZsPJZusVBO0/tTHqj1brZeW9L2vwLJW1f6c2w6eC9/tqhcthXk+t9mX5LFGX0zQJSslUCkPT1RW3EdgY5XW7aoH4rmqL3ywEw4GDY5ZnggYnVtAeiYojttdiKnAA6+OX2SFRODF87bxRyUdsDCWvZRl98IeOLJkOxYszOfRVRS24wFPNjs8VNwHAWru1Iq+6ba7HtsCa9iXdUIYTa7Ld91Bzfsnr4fPH/RZcPcE4+tk4t3L15yWVq3ZWoUcg4dMmDk4/ymc22OPsh0VtMYnYEf6PHdTPCaU8UjfN7lLouJ5l813W1g1dv5Qn5FchWwRO2opTo9sF3D4cn/bAHmWrXEh5mMaD9CH7/ZC1uU8G95vX5TYy7V22dvp810QBRk3jqTUbzs5PLdbMQU7AZ/9N+/b2xPeF+0ej5qfnseK4C2bsVEVz3Z52/Om0RntOlS0YYFPEYA2QPvQs/oa89SXd3FQBj+5tHPPzEGoYVHIs+fLOGE8B36suO8D+rJHAfaJiyMr8hkxuWMID9qFHsP0jYXWxMZYfb3G9r8/wNfnvnQ/bemWvJudlJ/zfDXt+C7k7CCcrjiMbblh8FMtj0J8r9BzMU4EX7h+D+0q6LRusyBmj9oAt4Y+d6GgBTYNNrrzhBsFP+m3w6+2s2U2p3zMY0GVb4D0jO33vZjuvFO69Dhkuqnbu2iEKcx3Xjwso1k2XkbLrJe2uoSYo2kN4Vg78QV8Kgbt+lPrI3xCOfZ0yZr9nT/N+K2PfysW8VVVv/Zrv1a/9mu/9q81Rv60lJR1Wdz1dTin6p2ScbXBPp9VSK76u2eMj5vhsO256k9/KAE4AlC1IV3AfOh9HWnoTffaWpIdDjWArn+z7TEd+TWGv9GZLYoN+s3P2f6ppKx/31h0nZWs2yLIk8f3lS9rCyzppsrpu9oAeJADX4DpGdt2GRsQ+74q2VxFwjZjAIRqj0xbh6kTf8kV5kFScD4vv82uSJ/eSrpHjwfPCG7A28MOm87U0ZwrD7pni5YKTbRttrgxoWo6B7zrTGwmwG4Gtz0JgFrlwh6R0Lvu1/DVcmSwcM2joBUBU3bE5KADkD+jXsWxHx5hcy//+YSdYHd6gq/j3Gdkn/QzLViAh0xwlhZWOaa6EURLttqbzCqws4gtef2TjBiGISH6yIRBvjTJy6ZOlGTxuCVzTBzshVmBP2MfTH8sUVDCaHLHJ8eaeVo+W0lVy33GwTV5v+kE8vcdvzXX8LPn5jV2HfjBDYZTudOZRXaze/gLXyCUrdAr56s3u2zluuSNjCt76I6xZt5z0erPxhMjhE1Jy8w7AWM/Y4l24aLLGpcPpnNxoXnuYxEH2xas4Aa+iHu7yl6eNjLYl/la5rssR6DMmw/FMyF+dgyNjoDT3jHgsjXbfk6oIMz7tulyQd/suuEO39HpyAXAPvWbxaSm09qeOX4Jk87nhuFTh/5OPLX7Ak/nXOTD+tuvl6wkf/LUNHcHp9NXh95oA1d/Bu3iPeLZ3K84nY8aeDejNsQkl4jv5T41sQPXi+fXHaSBOcYHaPb4Hrj/cN+UTZwI2WozEZsQcW+zR3vvebhpxM5B5fSPnnfnAYq7zF9MJ9ApvyPPrmfPEarnM573nJPu7/n+iy/4lMW/E9sUixxjKE/qhh16fMElHW1ooEp+pONP/DPx3/pQ8Ibjh5H10RXEUVQo9NbeVEvVNN4wJoggZUEQYHw8+1lucJYAjOGtCy0KhjvGuj5r1I4PY37d4E7dz/uIrtOpr+eq4KwBvOVdCOtyLp2aSSRls2vbM5Vqn8fCKgSyjmvbRrBgYSBvWmbMcvsIeY5zrzquL15v9kgeBD7UlyW+66bndQWyabEqgbJo8UW15pPcGYSrPDAUdEm5LeqhNc1guJM/AucZNFpG54u6wp8HqCPIY16/T599TNu4LQpfXzIgSB75LJoKdeYLWz4x+vr0ADv28dB6FG0QpK9trfzuCHheKOljglI5f0ro0TGwJZ8+J8FogEleTH+yhXeB+ewMQSCGDQRjSIS4K9TknMUkYronFbQn9zPZYxfXMpGFnhzSLdE7k2kWSAIH9rlgIW5o13dhNLcdT/j6+p6PMpN8qI/RL+6rUly1sTZj2+kn7guF5LEeHj1mpKi4KOzYYIly8HDs1pTssK8jTTZf2/+Hxnp9xmJmdLVH7uKXRQoWBhybssgR6hpZDy3wiQr8md3QGWu7nkYfLFK+ZKJF1utOxotc4Ciuh30Ezo0NpE+QpluMTF2W+4Lk79LKc/cdYSeGuhcOc8Hs9kiMybH6utPXJduMxbTpjHE2ZtxnxdQqu693hKt9oy752PIW7J6prycvlBHzpEdY9fHhb0BfoOFWXGvaP0LRjfHMSS4iHpu1+Dd25LRTfhpLd2axvT+5qeK5lzCTsZu+23wQH43O5oF28vyD8jeeS1jxOfp9TZpFPen3zaNLoN3ua8nMmO6DOidm576Fc8XiZqxbgr+Re9EOHSO5qTW0LMnjZf997sxrFadbN44/NbJdxTjzkvuDj/NCvAdrR6/7mnN96+O7WsSzxaLKg6aMDOdKiVtR2ROcHkVR2bgPHdTmUO0EWmB7oKQD7132vOYtuDExyqSpsav/rSSClWk4wT6DVLYmHostOLw7N5ymJOOXXHLMOoCGSa7o8+TsCVu+KNjQW5U5pXURILGQbgC4SwUcjmO0UJ5wcvEAPZC+sZ2sEnqwVzKy7gkwZGq7IJcANPcNrRVypLyjkhvzCVwtBTgA/uCrGJwQgMptm90vrA6X2Yye/62w40+73/mT7Um3sr93xaimFz6xIiA/NkcbPSrSHWzx5tcMMn3xBHSkWf2XJx7QEwPYTW+4L7+bYGxjsiAzakMyEi/9CXs8xgRd03Y3OHlJVFp3QXuP1bgqL6EPxU7T8zfpYqLhBTG3gSrxNSoaW3CfPZ7njfkOOktypYyah49ggh1DbUOO0Ut8wld0f+rZd2ZSXz0P6aZtG69Fupw/2fKya9VNQZ+AbMdfMA70ti86kRy1qDj8GpS8w9VJ2GvbPO2D4p+FhJY/r17zyZb0F65h3kM6ov0lK49HomU/c9bg6vjGYLTTR1ku0y92whA7xv5BC/2SibPzgULhRR55WFeRybgsT5I8yr4zPFjxWaCXgz+f9E8fM2Mk/MTOuV3mDvDG/Udxh7I12t8V+s5z1M209y6/vgoYeB0zxirio59zGZ35qfCjhvfXmBqLOHLQcLNZ/EXYSRzueVrn0101MmLuiXGI0e2r0CNx3rpTGG+Ndh93roENTVw3LLvEC9Jeoj3UDOxCLEactXemJF+fscC/jGm+TqysZXru+TLfJHgqzzlxrs8x5rVObc0BPLDO4OEBhfyijE/+rBuMudfEMymy6bSf6oM9sMjzYx3f1SL+bdt0edLfR7ZQerLpyU5VJBUYS4uQui9woGzusr3G9N01vgireA0cq2nJRCqddRe+LH2XAEVnzmewyBdl1vM0API37o/FdYAxySLtlO3tOZP+zhKN0Z3viI2eMVYCYfNT65S7aFjmtKIdi88Pfyxh+MJ8rKJzt2B4WNBDCmuSJA90AphsV4q2qIr7Zr5TxveEzeXHXfeeUzK6VMmL8otFa+srZQyAf1d5pwyq6SzJ0QIDfKKB2jHikR+/G79Woe9dwGsqzJfGVlnIWZ4cVPgg5KBWXsepG8ZInofxDNHWjYEAyV138SCM4YKdPp4716Pn2nUGbcmP2EkdckwL8iW7aH5YUGw7tBZoym87Vs6O+vgk7coxzPVdpuO+N9tTJWMlNEfnVbm+a0M20K/ZKHQysqOMTf5KwF7nXhPd/IzzZNzM7yquO3FYO1X0TY9xuLjPbd+5o33kfMQdO3fFU1338jMs+itjQrSdhyslz1mg1X3bdvK56L8V4Ib2P2K+xLUWY/NcKSNgMWl+XS/b5yMEjHlTYIWf6Rnr4Ln/vbfZZPpEBbbQv8CCLUpyYclitmTlvv/ibT/Xuw0SB0c+bTvNa7luujtFekrGhL8kL20zi8o3Gvp8389YPOdxXcczl0eNrHmKONm529BOggs2FLphXpDdKQcNdp82oPrbM//wImXqORe0I8cd+ir9bZ8Ptgz+Pt/12991n/IV8iC8T/sQj433fbv7SxRoS/7yPh/zhXP6rueSPj7l4THH85ChB/afHTnK1bAARjwRxosJ84kwkGVjuUcxDh73lWTF3F784bHexiRg2HyOPB+++npMZHpedgrx9sc9vqtFfNUJoL5QbxB5nbz+rAeCzDWQF8YE0MqYolqNoKsX3pRZhCUcAcqng1wCBGkpp11g9LC36axJAxbjc73vnrBF/+XoZQsBVTyXgh8CCpPHcxcJtEBfpP2okj830KGyRSiBqVJWJflrPk86s/Wyr78+k5MAM7okEKpS2rS0/fI7Aq09927jR7Be0HMlXzU2pmfjKWMvKpEaytgBF5VYk//Dz1bAmoR07pO9n63X0k0+BjGLEsi8SN/Fh9klYXZVlzdjG9jXuWBcWES6aM3n7Jm0XdClV3CbVlaIGcB8waxFcp+THoIWJABjJ0UZvduVZkDX4rpKPL+1hfYT4Nbct9/NdwmKjUkI9hlQ1d3DnR/Os4PXNXoQVcCWoKXPdZQfO66IMxW8jk3C7ok7sAsl9nwJqOu05UXatbu67ByTT7AIe3Lc56f4xbn2N79T/yX2xVidHM3zvqPTR1bAUbWDSx49/NJwRkGYEej0O9xG+/P9wuPoYKsy++I1s5AATZnIzjlca3yFX5IHwx2Mn4s7zfN+cWy+d/iScC9p1w4Xbc1t4B3PeRCv0x71Z8cC+MLg3Kl3e/xkn3G0z+WNw/uH2z2T/NOegS3bSL5sMPgYPTZ3qu1cNWb0kB6zrp0oFyHP7uiMte2+5IvxVvfr75f84C/BOzvKOse+yq/cl9I37Lvka2uec7NoH7I2X4r5aH/s1GXhJ7sJFPtd7h/Pi+RoWpKngsiqsjUH4ws7Rg/aq8zXKXd2CmispkE+UYiRbKc3GyjP385cAfhDHHm+a2xvH1Gec/dZxYszz7eCJ/WG3IcdZuTBZGzzrYtc+2+tK2iHVvBr+Vd29CVn3/b4rhbx2vVyobZiDoNtsB8jQ9COBHS+SwNap8NmK1gbztGGWW6wA95p1HUGlg2amWCT9qozyPNFZzJK7mydc+fzjEseZYsRBtyeVY6/BxgdFBSgUy6uL1+8M3lvvrxNRtfRLkzPwxeTd2d+ALv8QCyz+7LY0vqmHHROuuSuqJjOXZdcyFI3UVXf7woJ8XK3EgjRLjpg1gaPWwWLSUY2gJPnhoVlchj7H3vaR9CY++IcfXF+/iwC2IINMLG0tkfQ2/fVzOPJwSdkpHZ/8eHdG8tkq52mZQmf0XcJouvKlxcSlIzcg5KNecGd1zkmhmgTq202lLp5vTfjbE2XL9a8s2JymNZpIbGp97SbD40c+xx06e4ynKUvqSXOk6aey2IBxjsSxYs83saXki5FywI/JyY1nU2EEjBh4Je7xSWsfhUwdAFbbKmvvo+fIOG+SBj6liVs6XNVJ75lQSyLGUMf5rm1UosW3dfzpX1cxyy3JfqVLZ4egXDXcXjfngzPQsdsx2nveQ/6WtHDmNOuvy/J7T7l0Hw4zcwHbvakQpLZdMybtPvz+af8++hFqm1oQKO3FmVbjIyM3Qrs3MjTachW/YL8qmTHK861L3usq9MOx4cUG48361ucvtuTjRl6bpm0n7XfXO/LG2sprvO+8cuzsEB/UWFrXc+J3h3nRMTN7nl4PJOsLC3bwRbyjodLy2lyHvcl+WPzcOv4vGL7YSmnXaQdZneM8rkbXx6rjs2iAqYwbxm7el37+lWjmnMvzGUs3nOvd16cRWkr0lfjp+c75IE8p41abhcnTTfQg2Ib8coLwi3Pgnzmu42z1zFdAy2rkUfazoXnb318V4t4A9lFoEGVcL7Tp+8ua0FaMNw+aFTuGLGbx+SvExuApQVf0gQg5f1DWyk5e7doKiabFFAnWeaQG8k3d3bX0FdzjsGTFVHKxd+urmQfQEinhkNKxprHOhIoj4uMHtbh8OiOaBmHu/k1pwPPN0vXal7n3WlREthy7JcG8mfrnActvJ8pI3n3AMHr7ZkojDFB4F1yEOjDnw8xMC7h3203jwuH5kWy2Z0/xHy0RwDojvkqOy/44Xqjf94eodGN+/iKBRb3y3eJYWOEz20v79oKphY8IeNdCkZHcmbzhd6CrZHV2Jz7M+VI3OiEpXpOnLMi0b7IY5KM9tM1OuHCOHVD7CR/VpwDhmWCwoS5p8iWyfFL2GQWHphAJF81Y+8L7Q92lsbIZMRwZ+6TX1IOfVv/VJO3lrvvNM9H8bZk75l0TkwMe1w5aEE3pAHYYjQk1pZeFsv40/bqi61tOqk5lzh3JknDd8xBX0xZuURO7CPPBw11LgKnUBX3iT+PbYZJIx9R+FbGjXQP7tIvraW/em7Y08oxz1iQ7yKQD0YCi3HM34BTI8fwUzt3w/SgxR/1e777kPxzvg/oZDAUmMZ5nZbTFvI76wJbXvjYl+tvC3Wzq5btscAnDlMOyEGNzrJ8x/gqL0BT5wt/DKZXj6XBciGcBXXKgd2d+wGs9Jeb3RPnPh88/bjohLQTTzOO8T7mFFkg7O8Y/47iMr672iqeOW+eW275qATjefrirSg9sev5B/1gY57W73T71bsuhw1ehUHegeL0MVnwzkPl/TP+88nn7TOPsBfU4W/pFD5lOJc+i/VISVfZwebyfxHvmzlRpCjHzhVyN7tCfsNrfozju1rEV53VIC0uHKAGtOpRXvxUUf/NnxtgG9XRzvNYk5LaMiPkLki+wKyWHPF8a+hr5nGiVYfh3RK2hz2js7/rhMEAZgICkm/I5vOQo+8s3lrxOPbxhvF17pp3YBBfkXAQRJ7PkXGdjs9EI5N3o290lXJncAq+IKPWu/JK7GQW9RVVu5kvF1s3+dXV5gQitO1M9O46eU20LvR5B8AETcjBzo1yfKdV4A06cW54DkC88efPZ9EHkRzMfWojZOJw3/Hw4H4kc1uyemHGi2vjq70KwcW6HQb8vWA0O3jk2TAG+mIyAX1z0X5P0GW/r5/gdGPQQsDnY6cGF1jzJzGm/G9PrBbmIX9O561VdnZi8B3HGh2NvprnSHoKhZWPkz/NJ92QJtLVxVjHXLf7pov2WFWn/UL+kq3viA2WgdZcMBbkKb/RIlJ0esGaMqNfF+ZLOfTBzgImxWcyvMqKC43H/du+oD/bpoUXnuQSA/nZtFyT4sarfV7fx7br00+22Zfuz5Zq+enQAjmavi908jg6DCp2oTC2tWc3Km2OwbHEdPsCZXTsXvW5LR5sx27JjhnP3vJV4CFxADwkDX3c4jT11qf2ce79fbO4Js91yl8+WBSj0cl4VCvOlexQsaf9+Ry0+bEXs00W5xsvVfQNH1vx1jvSch7S2Tdm8aTnNSz64Bw+Bu1yV9jqjRbKyvzziQV72x1f4XYOeuQfg8Pb9DadpfglkMHhiR3w9ZznYnP998eF6fe0b5Pj0fG5tJ7oPMftqRQ/95kTXjubItcgqZkHvvgRj6cNrImXtJfC35ZfFbFBsd/OFXKafW6yzpgFv477xMseXeZGXucfun6ZnsnPxeK+2fFdLeLnLdYIMFUw+Cp3xFLgscQBhmOLtZIiD1fbAfC4V22EvjNc1YCGVvZyo7Sxg87idwQ7AxrKAWBVDjAsfuSu+TwHuqKLoJSMzcJliiHLFkGUDx295WGLtHDqwny5w918FXTf/+yxehHyasGWI7IosR9i9iHHGt63z3josoy+sAWTP+yRoBw8E/TZskl7Ohcjz07YJ58lvvF17jq2HPVdABptp86EwRiFqGTTnnCkPbKa3LLhLl0nP7z+BHFfPGXQnnlBoiVn5clc2ztffNg03F5CyfF5jQJ529rpz7YLvkM3CLq3N6v2NVcbKsfDgmzPQpM+2dZt84XtNS8WrEu0+GMe3l6ZyT6xZUFGnw8oZTIwwT6Sl5Fnbfeh8qKm+Wfb1YdoZgJA2Y3MGivB+1w3NGTy8oU9jvzWcS530t/NdzzreMEkLT4ls5RHXeY5Oycc07PgM3StfGPyafdq/9S95IHz92nCzcK8tx04iHhoz8OS6KThrazOhRHny+vbD47vZsqF/57+3Ie3pKdPyIZzHn6XST9zFLOBh8/Gc5dL4wkx4qS3yvH7Iv5DX7u8+Dp0Jw3m+6f992eoFH52l+PQPefEQ59InWdnGP/gBkPaH/Get9nCY6Zl3FyHrTbNhh/5OT74uoLxzHdFwR/iEn12cr1q29mn3V90klawMeGxM1zK31R08Xy25+lzaTvN0yw+bUwZnR4dpc2FbIMvdvuKO8WgxsfD541nE4fFy8Zx0mFx7fA92PYWze7z0n/Pl/dbvAXvV3/ZlAdiQsk+7jLyQzv/l42JD+ANcgyjPWhr+jLuvjvXx/F8/cTNMn5+zOM7W8T7bl4VAk8AextvBx43Sg82M9aAFI2znWvbd8WxHhr4EjRPYkSfwGU/dBLImhc6dwYsB+8r+FTzLhpaflz49fUfa80zyP4TNFrg5wu7elYBTJnFKzg5UL/oWwftLEps3C89nTtVTCKz8iud+q65nXtoyZ/waO1Qxibb575m+tg5svkF4rQByUg6ZwFiIcioEvvMg4XD0fVRPvaN5+ZwkjkstLnQbAakS5fBznNbCUd2XByL8ba5D8hzaF9mVw3iE0A25QN5WpC/BLyRsRTAID8qDTmYy2+NVWM7GlOJwxOIsGA0GYNntlOaX8P++9xdz6e+c1H3+QkaJnjyZy99l5M0sEihogt2YLd4oA+lTqQHYN8Fh8lr++eOsUa20L1wO5K6B658oa9J9u6FpXzxhrkzVkHeC/Ivyba29MskMBchR0G3Ysf6Ipi0j76Ti3nSzs+eY8avMr2dSZJN7UlVcRfaC25nEs6C2Hi0ya/nu9FHmu709eIpdpBxj++2axemE+D7i+1O+nj/PbEMW7jI1b5b3PEHz8D9Gw23calLyr+v4eLm9Z3o4xzNI8d0bKEudTA23q7xFuXncYtoO+ejPRUjsOOxGeW5PNL+s8PgOAe5vGBDVBwt2/uyiBzdn+duBeHJG0PWLeNIN40v2p66gd74S9NMHJARzEcWT6y7DbGBczvWRms/bXymc58gPYMxD2YoVoGvL+2fsf+M4b6p8nU3UhaNdd8bWgL3s7uQnz6Pzm18x9gr20a308V+la8jhpTnMHwUIEzAcpsb7ZO/YEDG5itfy/2uSuuydxs1Z+6rXPLkIbuGYY+gr3Og7Ha9rR3W0npp5PIjHd/VIp7O/T65kKHNz0pMBoYgU2922Xr8ioStmHSeO2+zEI63v2tMBsrLzil44H1snT/oBGDYd5xvkiXtrnEHTiAXLcAlp/n8fORYZ2sLA6oWcG30vmh1gHqzqF7Y3Zx5+NIk1w1b7W33EGN2YH0X5LPNRufe754zmR5BlharnugwgWJFlfzkgqhB2eXBoCQgvIHqMhswXsEXdVL7Lg+3X1+s0eY+Q1hajMO2t+veduk253lkHEF4aIkEn0nT+D6CW4M9v+OCin5JXr01P23UK+89Ri8UP21M6bQQ1DKI1k3+1EPMV6PnW7WbvDOQR0EROmIwVNAG78X7wjeq+bwlnwv/LdlaLwTNns7OApMDgvzGnFWeXKn7CfSRoYqkbnhwvXVCc1twM1EhoefL0JQQsfrP5wurnPePiO5HDCqNOfyVil+5yOZfTMLXjA4W4EvqhPBzzbfRVeC5ZCM892XC17xSHnENdXiTf7aujm3XJfHFfGwrbh4ak86xNWbSkNjZ3wmjXW+kQ2/wd/35De8XRMSU5svwA4uAji/NKxcNHLPpM9yv8xryrML/rpRg9VhNXyTmibmv7yrOecG7ZXF06uHzpP0kfqUh4u/rqfjupvssCtl8jTuUNehUl+A+7jv4Sloe+Q+epT2Vx81c+HEse9Ryyx78vpr8W2PGhMjdczHoPNx8SFRx4Xa7xvNL+YjF96Bz4t9SjPMxRad1S3WcaP0mxrzBzpc0oPu5XhONz1780v3T40t2c90e7Rn7iFjAax3fkC+1jC2XFN0n7gxHHhOWXzvxb76Ln4bGmP2FrQX2XT6NF2eXoIJJ2i9t/Mc8vq9FfCcoW04+hlAh8CVjzHNjOG0sNNhikvQ6rK1j+9td/SVX2JUujdnJwABT2MUEyHKD7/kOx0eCM5Z3lZGO2Wle8VNb5b+HnrJlR4M/z79scYW8CrQLKAiECw5iAasRMHRSPQb01s62lhJm/txXlScm54v70nbuIHQrXFT57j6TCYKIdOL6zXNs9zIQ2c2f706Ij/tOvOzyzSIUstN3bn+e5J5dErxvZF2S2Yz1TsbQaWFe2x2GjKt10YE/go50I5tTIOAiw21OFV8ujs+OHx4mv7bnLbz5/NzzAiYFZsi4pMfa2+SdeiB2XdvSHkXQ3475Gn+W9DX2yARnMI0JvRcbRm/ltis/TRzQ+JpHh2zcOZPepBPb7dryQV886tO6Tfo+yr+g41XGcx60x+EHWNljcfwjud0uB9J5i1VZmLHEaOjaJsfEn1vy+NVC7JroDf/BaxN34euQFSacWATbOnY5b7RYWr7iU7x5gp125TyIRy+69Kewvb/Tv/PcXPMhm7POhPIjF0GOp+HPh4w8+eYC7NZp19fMIw8XGXtnTdgH/u145Ydj572wmPelHRLD+pgCS7nNN8/i4c18zcSVBuAwaDp3lR3L7HrYNkJczOddjHMucKTHvuFp8jUdIXGf89cYG7vmETf16KRk23JnTJ4xk78bjpCvkAs7XTTmvwQOUP7v7JByCFpYnE/7l22xeOi2k5aCEOL3gZZrF0by7BY5c1vOuxnjAo+r9Xy+kNDn80/7O2yu88yZ56D9JY/ZHByevfPK4kXz9fBsuPOc42aYCsKXQgRldvmu3U25mvPA/FkFddhH/fjHd7aIr/vzdE/gmt08JrXPjW1svhh5s3tVmYR4K5EBDIKmzmEn6bluntuOhSbptOB7Wcw4zx5EbKxV5gS1fWebSRcXfMNLBCktIvmW9AfsagfQREI6cjkX7Cfw+oKBu1e7nD/qqzbACidb5ybjnK8ukR9js0DDyqM9Z7VBX8zrb6Lff4S+Xl+8vuMiyxeYXjj6AlxDVn20n1hHSNttQZcIoqnDjfGzlc/ug+20xtMuavjkfb6o2Tw3I0WlH0nWodLlu6O4fOSXz3zenonnDr77Z5ldcOejaeH7JdL+FbQ1Th9Z9Zd/qlW5/20sv7EPwxvzN9zHT2CS+7MzwUeDUv75hmzqlcWN/vvDdCmd5DzDD85V3E/aa8PmAit4PXlIubuQxVfF9ZlEkq9jJwf+yB0g6yIx+i47M4G1nhyTrz32y3M9hn1Sv2h7Zvzi57W7LXVqcdfnmdbyksx4zbvCgPv1HQfMTj5uBbGk5Zlv19U+XmNu0xfH8YXwTS6cx2/IIhvnnMJWnXInNjQNRt9+/SX9iWpL3gvdLZloI0+5+cS7gjVpX1BO2sytkJbt5maXxAXkGM4fxiqN1TxsnTQenAbd3wv8G94oNrov5eM/PV12lnrL91nQIX9l38V8C90Or4HDtsv0JJtz7NP1HWfS7o14s6Pcid9Bg52r85znCGJZckz5a9Ar1oI3G3PRZ89d2JbV3Be+2GN47Dox2s6VYvBcE3yt8sd0SZfZHPOPQ8+yJxu7aTh8PfFUwuIczT/zwNe1jg2ZV02utf0dW4wpTUO+w8MfyQJ2Bp3kJcccvkqbU5XnmubA9h/j+L4W8Y+DZct3v13dDGExEY32zIUdplxYjTG6AdiOXQdpBLb+5I6fxsROa5+Ds/qC5ZKoHHLYEwQZgCx4giaO+xE8vPjTju7nhsE+8/CFdt4OrsXk8YKvooxRdcXCY3VkKdG6yF9x0RTg1YtqgM75bPupmzwEFLFjje/egcERWJcvFMdGNzoZAtiPdvMSyFHuAlx2FryuvrUv5wLJ5bHMJ1o2+nUEFpMUND9MbzW66MBydFzcbODCe5XvXvH+2gL8vpe65IKFFt3ZiNkV9FfFoFZPoh72O3qWBN3W+JZ/7Khv2ocSPt8FZFvamajU8Lzn2wks1PNzf62yOSSbjbEkmrTHGwZWJ/aJSbAJa7duvmIsk/Xod5sc/OdpmIQgeXnOf4DXqy5HfiYq2HaNEbxsZ5v8D38p3WfnQFNfI0zydk7ZVdLL5CxkdsDV5aeNmo+Snngbuxd4H8e/7taE/Hn32RIq+d388kXn/Teq+9z6gr7rueNTcix8lwfHyq6s85l4JbkFeej+toEgMGIC53BivuaL2Fmg77b50MdXO/6N+8TTLMy8K2x1op18pYxNp/yi/HrmA9edxcv1RmcJC9/lSUbnqrHHmz0phrh/edL/0ICfHkwddgGCOO2+5AKZ7oj0jc086Ss7Pv3shoE9VrbMM5byJWi58JtNoLadQncE+XvdfTyaUksxMjEieR6+XkNBF0FLebzs4x3WGl9pcyGrlgf/3WNuo4m2c7evr4pe9LnO+WgifMdOOlP6YC7G7dy+3ed8iZ8oGsw1njdWSeedywxfwAvivXBt2ZrNc1Hhh+3uW15w8tD/OguaF762aLaOAXBhePAFxvzrHt/VIj7f/NhHCnoC6+bCucwoJ9iUJxxvdyIxBp+f6UUtW3LtDb6l3esOPDdHrgpAw3e3wKxgdg7GimrVSbu/vE4G3ouSPrmr6ieLb9anMa+RcY9dFWOObEkNwS525wv3QUeZePFcA18zbx0HRZ1uC2oHnXUeIwUDLQUb+5m2dnjYHFRiC2fxrOv1gjTXxRRRIGTpEi/luyzu3jHGYMOWOnv2CudY+GEAEzie+vNujDh3C3jD+21HF7azPJBc7eTiL0PnNVhHUaPKilaH/JiYuHmY3hR83e9vNscgmnzxKgaW8aGSfw7uwE+4GNE8IUfzm9gRBh4cfpq+0fNFsuq8b5cD/QX4Yv8EHf0d36NQ811fA7lsJUJeqKJkY47lCV/LOg+/3m3naL+FsWQywh33Wzt30nl2c6nYqRZ93WBttGH/xbHmeozd9OE7EkY/uSU7mSzRPmgDSUuP7TYbtFzmNb6MTiS5sCXZh+hrGeTiro/XNeLhNZaPObJ6JxfkLSoC8rvEaLc1m5t+bEbjbxG3OAMUYlxTq774OX6S9Cu+lucYjt/6Zu8d74d4nfv4OItKppsDx11vTsvpS4fMgnbJ4+SLd1jLcOgtYxv5q3L9cZHX5xqvGFtvfN3sPnfIs1ty5jFugJm4yIonW9fsi95apxxzaKtzV/piOvr2ot8TM3k55PcEhXd6drxac3+4zdwhnvecSp/veSyu0He/4JnyP841pj9CZlx9F6v4qWIZv3MZuxwVw8jXjAV7HGxuuzhyIfH1mocZRscsyHXv8Snv/lWrfhb15G/3taFyZt+kYt6R/I3cwfs7a/0Wx3e1iG8B3xZiVTKM2yLr1u74dhcKY2FkAbshJ3ejZeAEjHHu5f82Jwgw5+L62CV+JmbQbSrzJ7MEIkpqj06GtQ4ezKtfXho71l4p3piDi6WRx/LkgDIiYyyiNKoeyWZELi5oT13mYlKC3JjPqutGc9uCFN5y7E+fz22AyVzaWs9Ty5PwvF7gA7stFF1uALOUZDjt/qiD0XKz317o7Rr5r8hweI3LXx0Ut9+vbttrfu3cZiHDk0dP7F+f9vM5RZ9YMY/7l+bT536Ukr/Re9wXfOajDucLLjsArcfnL7uwk1S7rCgzHs3r26TzYnMvGkKO9bp2AmvMyzFV0VahYHxiv6ezcI3p8nL9BwgjplA2t0Wd7aaOzaoTgm3kL5Z3yD/iS9MMGc050y//WodsW0bnQvGMS/mso+bTNCys2P0tl0h60l/axnkN58rF7ot2nTMcLU/YRAseX0t/y/nK7+dJ2p/mC77K9cxzPCgHs7l9Fq06fuZLCo2mCxYtnEzcMVrwVbOrhZ6wswoYCx48KYZNz2KjW751jX6hJmiOeHbTFxPus8XZ7Z9jUtK3tueRLXZ2r0Xp5xr7hYlyOkcGMbY0Iic6cAD+fLcd0Lf9uowFvP6rDoqBqaCT1zPH4328v89Sh5Rj58Nz/zPmLimafMkeXVY33rPbx3HK+bUNnYtfu5+96EsbWwU7BK/8pBzyUYfXd/XFfWf8+2oHv5DL315ayuOUx40G+kvzXkeucBZaqROMmTTMNVgflNPcu+6Gp+vM/8bGDPv2Kb+qGOO0+yHT5B66gS/xE1Z1ynNyGl9LtR2d1+tcPg7yYxzf1SKeLayHN9QbY8lkc/tOQAOb/TeS9zGmy1hSNqtG0XKCpM4C5evkFTiK311kkc7QB5O4plsFhHMB18+l2G+SA5g64H+s1285JyZ8hsHb4gmLi4OHnfriAnOHQy2MmTskJ39lNEgO70CV7eN2DkF0aCGwPMphBZG7PcPqbv48eel7LVgj6DKAN+1Kpvp+D6x9eFGDIf41MTsT0u5qy4aMlj4HxszWWo97X3TjicOtcmuLuyq3naRlCJYREcQ32QV/C4OdVXjfrRlaMA6TCgbBXeC/uHBBYUsUX/yaSYHOWXCqMn1bMHyuzvsox6HnMR4uGAu2l4/c9LztiywqWVI3DImz9AUz/6Xxbzp8/XuZzdg5w5sa2vnJ2VOn9Ouz7XzZfch1r/y4jB3DHJOSv/aJhxYbM3Ak+dpNl657+zgDvrwtft4vzki7y79J+P+x9+fhth1XfSg65t6nb3SOdHTU971kSZZkW7Jky5YsyTIWxmBwANtgxwaMMY073GAwxmDshAcJ7eO7EALh8r1AchO46WgDNzR2IIANgeckBDvAuzG5yU3wTSA20p7vj7WqajS/Meaoudfa+8j7DH1Hc+1Z3aiqUaOrUTX5O737Igu09Sb6xfoglc6BNG82xhMYq2j85LjzNH4koJX32+PjqMrxRsH4q6Q6p1AJJzRfQ6UZs4s9qEg0knMjHAOj2tHSMrn22UYAEUvjgIwSBHya9VpFclpER5i65Bjodlr/mmzVaaR+a0cVT6vRVSN/x/GTJcWcal5Z5Wehf70RYiUFr7TxMGuMVFkwNhkH+WLFr61Bs4PMypljDIof8HaQAc15uwa9hpCqL51kBgUrj0QiXuv6GCbEhdWB+Miw7CRqVjtFRX9YHjNGQj6Xn3JsCw1hehzAelb9QmuWjUf7YobsX3GIad2m9UvSWpVxo3YWNP6DnAa1nyPi0f665m3qDVthm1TaVjovw2WdsKeMeKu0Lt7qcyDldzVUSDFqKsQhDQ8qv0lNaMm/oULRqRlXSKkl3g5ToHkeYTgv33HDm2rdstLCPMzu5tjCMvW5J/69cTkeCwOd1NiWOrj3XuwckV4MeJ70EYK2SykXiDG4Wb9kOSlItrbaHMmw4DKkg8GhjZk09MUY1/HkHkvu+FFOjYHRh1Ku67vlmBUFSuzacmVuaE4hzXyakVX+RoqNnWcxxmQFeZs3ZgwWRlvmmVrkxcjLlTxsPBojZHTCx4PNiY4aqd/0ZHn4OcuCn7xYpvSlOPrkHJa66/pi5cQFKmNzSHFljq/Z0rZwRPB1yZWXUfEgtga3lpLLKGCMHmWaDgN36Lf2tdFvSRfzPMh6OA8T33Rm6004ZiqPGTHuDJcydk1Y2/p5v3jfxThU5cAuaIGDmreKFytm8ER1ElNY2PtRlJMgDbLGGPXObOVzhWZ4Hr7eFJ68wbLmxLlVhYPeHS1yiVfF35WXG7wull/IOK5cid1UyZe0wUgojeFS+6fmVBiRLJ+dSwUjX7s+7ej1LfLUvIPpn6ZZoZDqRvjPOlY83L+1U+tiZQ2/1/yDrcsNNTe0bGski9/A0rVSjNYiAk73/rGaFr1keYTfP64vaf0AH3eRaYJfQz4w6CTTL6kPqPki1q+CMzsf7n2FQ6DO6Lgdl9O4MD7CcNcGmTFKeJ/J6nS87oIzEV671mEKnF4Kb84ztdPFGHCqrg2AO6L7Shf6CWhA8uMWxct1Bn4JppY9PFKpyAl9JMYzche4yAhCfSZeryWRptYnwqttqrSCUVSFrlPwiIHJfpaf665V3xFzsyig53eBC9MxScmloejA1OwzYnWyp6xbjnbBtek9LVXQ40bjw/xI57phTxnx3AjyCFAwLeJeXe69bnXRKCdqUX+ZUKa4MmXYhEBSW4DWa71oQO5IsjBQagtlgVtTuJshi4UTr5NEHTIEW9bAzpcMhYk3HLQxWR0XSzzLBWSlgoJf3V1l+BXFVIxHzd/GtY576QNjeogpihDDZT4eKcAnUzsZhBJeDWG93PkYN/qQjpXmQedGiXYW8HkW33sX483mYSxMRF+exo1c+dk5P8Kg0bMaFoE7lTkfeRobjUHNDevfBh/jUjnx8WBeV6GQytCzpvjycG7praXyri7etg44XfA1UeZAC3stZMr41/wk3/FyZtdr2dER1CUdi+3dFh8s8Kv+zYVTUZLqOLJxYGuK46k/QTiQpDUZUqoVjkE8kfEu11TDXSvvoKNC8Sp4NmNwkbYBxl0oqQVnJbgXCrPkFcT605yBZOipVNOUce4o0TxC0S81/m6UOZYPKcWFfwj6Glub8tzfUk5QSSMzN3qsRP9IzuFW6Su1tnn/tNNL8FFeP38/joKepHE8inw8D5chnEaRcaHHnxj/1XyY44cMCI4fx1fOm+2DDrEv8yjecVyYvLb90mlWz+FOoTYnDHejD8jOimNbgyyv9QnesOTRetxZ/cwjo7mALucaYiMu13QVqTt4uCA+pelJOzAr7qVAHSs5RgJ3hcPI37F2C78y46Hy8spgvwo9Mj2V95r3D9Vf9BhRF2hIrwU+N+LoEpUxHiWf4mtiDNaEXi/1vV3jiIdZuhrZ+LG1RFJeGL1AtKtwGRmugLcUmpF0XKI0SVRW1jXUTVi/JE+R+fRxEJmG+yXrbPyt1dXGjPerlGu2lMRLHAPS7QySRvWmSqvb0gDXk2Q7sg1drrXF0ti0NV3NbgJX3ZWlWU62OthTRnzdmSTJEJGircMnKhMfm7GJF/cyPzUDgntl+ATXRc0UPW7UFCgLtrbL+lTrLOVMmjTUibRBJam69nlshCsUIbZYFtk07ozBjM2IlMcFVHuDNAxEiHjBl/VhQGNU8KpPFh1Rx3EQ+BEpz/yoFBRqC79ezmeUA8nw9RhvbTmOkpqH94EbnW2nvPZviVQZo+L5a9EOgxn3ggs6x6jPLst+MSeDSkPMbsEw2y47p/FKvwOxNLvORjXGIvKE5LwRtZ17Amk0tv7xm+u557bMB9W2WV2qr4TSqgIg/y7l9FcLRpJKRamM78yUqIomDAvfUQKLGRtIkKNIFK6I8v4IfKvAa05HsZNb+YzcFZJrURKI3JEcIL78nXZy8neV15IcI7tD1eaX01PBh+OFzhBqQxHdAC0iZajhh0CvdSJNc7wuUrRtx4PjwMNvpdGK5ruNwdgIWRnCJc0eQSAq61o6BEof7a4cmfHnkTkaL/4YSV5Gq8+ci3aMEq6QUH1QSZUvSzwlyLXL22u8RePSeKDED0agqPZH8E72uT3HsUSULedXRcGYNTf6ijl/j/QjLqe18VMiosaRZBhtqZvJVp4m+qWeXhqPvCptF/w05Yv1ovQePScDKkfWUNdPVBeCxsMs3cr10nAufwsZ5+DAo/447hoH/Uuvk7qzyNQb65yTMkTjqR1baM1rRwTnI2hXGjnldG/0RhfPL6IP0PiNo+wXyTSZv+E5Lie16cNtUqX8lGNW+SkNZjwtT/JXBZITOtpB7qhLnNBu+4bAQfcZ0SrPQUTCJrEbBWg8lqlyvkjOkR4GXifnSeL+LrbuhYxc6gDmSFzhnUv+rfW5so7F/TuMPvQGyLpgTxnxfNdSMmqwCGqa/Lv8IcLOC5HwfIrAF8bcQDKcXhJCUaL5LqlIG9h34qtRwnbpiS1IagIZLvuBty8la1EMxe53ZQrtsw1lARR8hMHOG1suni3xsuFVDRclWPkxAbmgZP9YMyzNCqCicDWm1RZbYTA2gqLQBQgtr2OlDZXWQY5nY1o83Fr1iw+DoBMWGkRt7qkoS7UvCvehMTZuOBOxXfo6Wgx1INw4LjyNj8OiD9wDyeiJ0TFXNMZlZToKoY4HNY9nE+RaoZKGZr0UjinQpVatiEGliQ2HFgxmjNjfXHkx9AgMTb4TKhwWvO5ReuO1s6zUxXEpibourtR448AQFM4XbuyWd1IYjmIOjcJXaFsLt7HRAq+bcy45z+04Ceuq7T/rJzKYdXSKwJlVYOiDGHkwPmLztPHXIbzcgCaWB0WllHkQXn+thMgOmjEr46DxLHiMLF/hkzwfafri6AVrgvha531l48DnEq4zAn3mfSDZdRudxdNIAhiPkl8f/UL9q+PH5sYYJaOVHYrFyMpBuUHnJTkeer6wgSPHT0fiVLzUIKHzyaVFu9ZZmtG0bTmo5Iq1rvvc2rMOAVtO4yd2HxXv5JFUChUjl3j+VmFLFSHsznpE74bBItH6YBqztIrWIhhjzff5OHOqN/JF8dWF/iHHj/PHyPFGFmU7p6qY3qiy/bJ0jHbNR5K8gdTaWOAu+yXGtuYhU87yihbFa/BUMg5FIWAjdwmCdzJZoPpQ55njRw0HPR46mouDxQ8fnWmRy3JOuA4LebtylGjdROgdhhgkHy66+dZIQjfx5KAcF9nnUhdfnEDsyj6zWtcFe8qIL2yPn1sRRF2JyyNKppCTJC6uvJdyTZngxrTe2WpE3BRmvcvMDaT2N2/bhJEv68I3ZEvjWEPpVx0PxjgN06FiDBL7NFIb2xbOTcTPihANksmxcS3QjOvRtrssYBmMDdnWcyh3X5WBiZSfoSiaEkNheKsydcw0LkNb5FKIcCYXhbfLlsquLb/JnPdRO1Z4WCsN0rGlWlz+v0U0cFxKDhEpwAztMlKCbiuNlpXAz4+BcSx0O/CvHjQctrbsTpA08FvovKH/5W+xY81aiM8sar7RxnpZmOHCBNgyTStlWvEtgo6ntRFv66V51+XOm+6LNFoltHxyd7TSNuunOBaj1llVjNj8ctRLWnHY6fA7Ywhr+ldP0VfAxNr88vzLeeK7lEqBxeNe6tS0gPBDuAxq7TL6V3UucJA7OQNxepT4iZBt1U54ppgs3UMer8rJuhhtK+Va06GgC1aZVqaE0j8qg0qlVdBCPMBzkb0VFoatYxXKXT211llG3QeBnqJVzuNNWLGoGbxUXUWyjhcrin1E28YgpSb7NX6cruxaZ7IL9EvvnoNm5ZwoRoCcBV6aqDNa12FamS9iTrbGhxueoK5C85Ws+HrBc1LPLhOZdviGjcGd4Wx00YiXlTJML4B0pegXzpviB/wdCrXH5Ypup8fYj6iCdXKKVP0RxdQYCfln+tx4pjkCY9a8PMbJm7M2R8OL82/O5yDuTv94Pt4HbRxDOTiwtitO41Jv0ePu80CbsnjqiFadX46/XV8Fl+iYhtZPoS7E/vaOEhQ83LoGfZ6ftyNxWSfsLSO+GqZKMLNJsJ5AyUwW78rkysUtvWhMYV5SYQvLLgg1vORudksWhuKAlKWhGjrVSFbMzh0PasaT6HNRBllxy7SGJe7ym+T8yELzurUF3MJUldAoC5Mxf31mv2Dtha42w6P1SzCDgR1rqAPIx59Ee7wdz9gdhsawjYFU22O74CTDx3nERWPibB4WQ1XbFvix/ujzu5whjaxSyRxtaCHvF3+y4Qc0wHBX7bUxknU244lFMrC8NbysGPgkP9ehaVQ4BtQYS1qQuNRxISnUmsGqnFhc6AJlQguEQl8cP74rxMeuGONbLD8/9mMURI4L40UcT7FDq+ohVaelX5aH8xQ2v/woQaFjeNaRKf26ndoe6oMSzPyMOzKqNW0SUF40/RvFiVTEER8HkgYYDFUmJUvA2q195uNXx0E967q29K7njRsGmkFKXljwp/ojUqY3VL9kNwZWV6PbUs4oV2gcVDlGcpN9RuWq8TfKcTR1qqegBaAye3xxJCsjy/uC/QJPluYYa5AnIVyopVU6llUIPKQDoa1H2S8Q3TaouSl5NE8itgMtxp1q+SrPVJroF6+LyQnesUJDW4y/aTqRdWo6bjRiIg0ALohviXnWjt2Idhh1R3y71MDX3tYo146NzGntav5BBNbUIGl+0R4fB76q5djoyCuRpupCBremgebwww6nkdS6T+gtUhXh/G2EY1wKIafGAjcSer40IsemizMab2titP1jzVbn7YZM4zMg+4d3s/kYGUNYDiD7/yj6zMtrfo/u9bA8WkZNWtzLOGCGNdpXEi/1pKHoaorfs/E0OhQxHiNwV3hS2eQjM7ccT3Ec2PAiT+vZPuwpI55oMeD+t04XgJSdxlwLQ7ehr7yWDU4ARMLILQKkGpvUQu0LkXCPrFD6SS6s5Vpe1MMVdGqGbAm7JpLhUdqAk0qWdghQxaH1tA1cIewttmiIiuAZKw763Hap29yuzp98cgSeeKfJ9Is9xS3idW4Wfdly+qx3l9sIL97y87ItrTE5TR7Cmy7ocKgGsF3ykgbaGFkjV46tvIkeCRfdLz1mWhH1diAEA112gkckIBDzNZZy7Yxpof+WhwkNtU7leaTR0FXFeVR9WBKk9PrbaBg+LpLuOA7aEGidL0WkIkmSHhHfGRs9tXKSjq0i28C7z0KkURlPqhgXPld2gDhwQcn7InGX9MJx0OV0qJsW4tDRagQl71fDUyvFDfdlX5FSxhVfT6nj9KEUAF6W912n1VdlnoGiUWiWr2t9lKDSJUl5IdtTzijAO2ua6mJklKBzk7IdRb9qDER/xLhbfoXKc1qRaxbjJPrA63LK8XSEA5E63gEqQOOiccD0jOnKw9OeJbaOiyJfuO4i+aHommmb84jwGIRa/7wc6bHi9RNKK6aMXXzGAcTosUB2587iYnE3dOXpUC7PJJi/4FmNJoXzRmFmAFtep7cWIS5oXavyKDyb6yjaiEQ7yPWGfYEz5lOiToWL/h2Vq3oSG1veLq8LRavZtMXf0nCTNAfPnAuFTo7VxsZg+D4fJQ+Xmj6OQt+2/WJ4Kt1En4nn5fCxJvUMeRgxGrB8YBxlwVC+bEinY7GBdHtNzsg5KTow4tERLRBJ3Zz3s7bKiGFBc5JPRbS6Kti3/ibOLGi7X4vR1QpAM3LLk00GMxKEAkZFmbZEtcgvjUARLs3qamGm6rNfnNFzRZs5BBrzGZpHqhKxFChFQFSclMRb4NLycuVRQxHk8sw+N9SbYY9uSS9jrI3JgrsOCRVKLsCHn4NpRyMk87BeZ88hw/oJxqD0rzp2lhY4P5PZ7kAo55rL3EvGVhRsfgkgUpa0MOP0pO9RKK1wxmbGqjq0HOOOM1ySBiMN7a3nxVz8HuA8VPxY303/RjLrrTkurGCp41DbbcxVM3jeT62ccWEneQQfYy1I2lwi5bYpFXwcxtqGNFh0zzjdDoaOkYA1Bo5aZ6jPHAyfGy09Caqq/FGm8brLmvBC1kp56+HXo+HQmjMOKP8GKGd2DUR7FgtPARP8v6YAZwjkZZI3hMrSkrdwfNBdAXoMdIujeGN5Bceh7Xgw/EZUitGoonuRRpZmmt7LHCz17G2L0NH41V3pKr/k8aFqIOlyhQ8AZ0/tN+sD/xReAd95wttjfShpkAZ8WdfoitFawR2tl0KjRuZwvNpT6wrGSOM4qAZbVAAIzyZg+KF+qfxyjGUe/lvvYHKwzg3Jk0RfGIjuLZkmciQs8MfHY1Bdljc0HLQhQKzPbW5G2S/Wrj0LjkaETP72rtXZ9FS8dqVhxCvR/QJt6+dg9Wijt4yO7FHtSB1D497kX3wEA5UbBR8ogKMEZXk+c7zvkTOVSPEkOI6K77DqwvWi6GME5fhxw1ae0Qc5fKqigvjAUNH0+qX5cBu7kTynO3Lub2k5Adan5QMKz1Gm8fHgRwNRxBzX47SdtSrYezvxAzMM2DuiNlF4N6RMkLy4bUsJTi0QCgGUOstt5SVN4LUszy+243gRWWO3hN8XIWMUPqVsyXL6IjHFtFiiHQ+qylsznHmYKcN5bE6GMv5cOSjKVTNC5XlyvdijsMrCFLGnfRCeyzonRTCMcmz5QuQ7+KK9NsgCp8LodYhSqV+PZx0H1lc+joLpMLrgjoSC5yJ/Yyxbyz7XsVWCDh8FaGOmobyBUQtKseR4DqYGNr/12UIG+Y64PrLQolokLVSleLTjI/BEyhxQUhcDrvIrA1PvrI8klfzmiLBn6cU6IOAYqLxiVDdOt4qkY4ALWECrQAGp+ZkSyumJC8iCCxrHhosdz1ZOvlugJBUjLUx1AePtNr2R40CkFDZiYzTKUdLCtyoPjkwYl7n0OEhcVB9KnQrf5nS0uLS1K/tQcFvUJ9d+dWax9kQoJMdltO3KMdNpPCR0qHTPabvkH0kqc3DnDYwtHxudx+AOlDNrfA42DfE3RQMizbzh5drYNtxIKJJiJ7/KOrzmeXtaRxH5Bu7onqbDwpNk/ZaeFr+dM/FFma6tWj6goxa4o8Q78sHrgmkMlxKpocuhvus+yDqDMWMNG31RzbNMs0o7klXmqIKqj78Tmz8OzUBeiN5xWQfSF+01edbKtd+6z16IOH/CdjYULqOUqfVp5Cfol2pX4K7oShhn7FkjgADNIB1q8VRHWkY5J0aPU090LIHLJ+S4qA5JwLd9umojIo8BSp1cXFYoWUuFKV4r9DGS84Z0Lg061F7wPsJpPES/HZFttGD0VE4LaF23BkW5kdr6kLRj69B9XjXsSSOeqHnz5Y6CJJNFvvanWIijZUySSLhSxYyQkRE4lYUqd0X5p7o4UQ4DcxowQ0IYOsSM5KWwpULMBc+RE5xdPjzcpobrqrRST2EwxSPFd5KLolfa48cYtPND7PAy3DljKm0GMr72FTLqQY45Hz8a5JEH3tcy30SDWIi8LiQMyxgbgQ6ER2mPO5jKmNkLlaSyXgz1NsFcmDWDDJ0Z0p5KjrsYn1K1MrbcnUW1lEaVJoRGWRPaqcRxH9vflRZIKZZMMRX0xTg1xI8sneg80Lgg+W4x36NMYzTX6pK8pfZrlP2pdZI6+0bFcLHKuMZX4o4MN85beLkWndLetEHi9FXeFH6FwvX04pgyesV6F30fKu5WqQBzM9g54Qp9URo1rWi09Phr3I0CNlijms9Xw9O2Z+iw4AAUy+YcbTWgM4uobg8XeNaR1W8NFlbHEKXZvjb9kPO3GD/IrwSNN+POrmvMrwoyYp41j2BOlMjARwbZIJFYhIhq3IHCrfkO56MFuDKu+QcxOtxQY4RwR3TPIyBKPcpnoGhV0j2xfnlnaAUuURrjAyNJB4keR95DZNRYZ6xtT9+8rpV2Xh6lSdz9dgZWUBuK6IiPrbO9s3QFcAHr2kvTOkPJY+USGneJJ25HveDttDemX1POQMvDSk34yCRvEPVL8DLFr4hIOJW4c47YOJYndiLKdtAxJTSZiOYG9WNjQ34SVvSZ4W75d3PYFZBrSNJqq5vjIum36thCT5UVcNOkRfe0NMQjRsXV+NpdbAyB44pU9H1+7JLR+ChpXB9d0BsaTZ+wNLMu2HtGPIEdaMVopFdMEeyI85Q0vbtcjFxu6KG26476MIjdeo2faINYnSVtufC5ks/pCDE2n9mVuvywo+pAYG3rs9k8xJ5HMXAv7dZWYVrN0KwOD6PMsfJA0ePjUcaf55dCVx91IANo3kr/Cgp1DKgs/MUfXLC3/Ho3fBS/jZeQ4eUxBdEOAWY1cE8xF8QtTfSZM1zVlsYFMn+STjLhjKrjwQxFPbbKiBxVlmGQClwTvi1SRgubghdvTu5y6r7bttv6IhhS2xBs9Yt+jZZv8H6iXcetLZLOq0FdZAiFL7U0jrty2nCxVUQgpwWNXxkPFDHgGXfVIcnfiTGxaZVuSNfF8i/T0HlL4nWVPjGaLpWhNUFEhlZR2gJ37RgjAy3NELnt18jrb51oNpPqA8OjgDbwZXulX6o8kbhEjcsQ2RdOc3x9aS7RSlgF0a4bvVPK6bHWpHgZx13TnEKB4TltZER1RWkRjzYOIIsehDA8m+UpNI7603BnfL/qMRJnTTPIcVSNEoQLX1MA4coHMv1aLt6RCQiOi2uIARDnyknxXPWEuFRl3+ED2mGneKZuSG+OcDzrXJZ3GyWN16l1NjueyNBE4DnLFmlqDaoniuDR/fFwwPxUjZtO44YY6Is2xCDuQ9EzR0gzSOYsyk/oouZdeyLnfsNFrzPF49EaLLiOdu6hwc3WnpeG+iPlrV5D/OiH6hfDQw9xmtc6PGIhIwuerbyWn4gSbHSQxSuUCWSPcmldSOiLLGe8CufDnjPiaZBMS+z+hYuNTcYgdwb57CDGtJRFTYkeimIzinLcqEGLoOymLr5lbhVTvtDKO76r34jMP/fH+8o92vhCH6XQkzTYS5tbikEVpQ59FqsJ5sEx7thcAEHJx5G/4+XLGBTmWD5VNurJVHWKHYhlTTXkGAqNoSrOnElKRrMc41HTicZhEOX50AhHSa2/pS2eWGlpdOwpzLJHmkG1YrI/evxFOdaeOJdfcGKYlvXCP1PInTsofNzQAGOupPpVxlyPiwbI2JdPLQw1PfBdY2F88so0P6jPlsmGg1tcBvarOScUj+C4cIEs+KIaW5YoHAoMF7vjZ/H07hHgv5HDkI9ZU7Js/aaujcLDkEGK6rdt6zxTQt4ryGnNKIqoLsEXR7GuhRIYrF3P2IXKoLN29TuzXsBgaaNJ5uft+saI5oH6YkeOe+U/TDYXXKPdXj7y2njSlCWcNeo9kd2x5nNt9ILlvIUOOLLjwtuzzka++1ce9lgeonHxzoy7RKxk8WimgqJtqZuA/CpRjb6sS+hXltbsHS/LJ/DSh7tmguaKHoB5mHSiDACHwc/P5fRo6ypP9wgka6fSI+AtBhe0rg0dgqg2AnTI6q+0xhwQvA2Ou3bc6ZBojWdIOqwP4xJJw1tAOT43er1ouhAGNz825+RpkbfcuGZt6PZUPaUO/iy59LGmCorPI+erOA41MkQELhHv5H2V+EFnlOFXSKb6DklJX3oNWvptY2D5jox01DqNglHiOcokiUOVZ4An6XpXBHvOiK+G8DC4CwQK1mV5YWwJBUBeuNCIY6wCW5xfp0bEzVBpu8WFyLZGHU7fFh0Pnx+Ih9o33LVZahTgwRI/V/Q0o9a7j9pTXxa0ZcZyIPn4tTFgacsxQww3ZDCqblJz2ZworV+1vZpHj8fAxp2PaJlbXjcJJiRvw2d4cpyIGE1yRtoiPFq5wrzVHI60PPeOz1DVulld3vlYPrZcyFRFSjNjNsZG6WE0qusu+fkn1WpLIwn65YY7r1/ObWtH0hdj4qqfJPogaZSHbkdKbutzG0guLHR2Gx7Z5tTbuUACr13eyOtqabrPeh54WmmD16/bQ30wnnBigpxJF7tjrSpVNNSiAgrNlaTGo/W5Wj5mG6BjRoCX8WODwncZBHqKt/OqBa2BsYrCs6mmBcoLn0vdB0L3WVgaMvcIYETrw9IJ5zVK6yR3SUDcsWJox6iuZebws+VLWoDLIJ8oTWqIYL4cGkJ9gNE3qr2QLxAwJCzqSnnEhp8swPLjpAW+3EEijATZru4P7xeKKCu803OGaFyKribbszRtaRvUGc6brbvhUubEIohxB3Qsi0mdq/BKMW+4P3ITAeMOHSWAJloS6nNLszTK+lD5vcRB5g/4jcIB6l5aL2B1hQ6ZZeax/QV5i+YNNQ+XR6o81+EFry46+eDLBN0vTgt6rLg+TBo/3mdVt9AzEQ4al4HJZ7OekX1g58v0D/VZ8SteF1pNnA9wKBuZPK1FJVqnRts0tePB9Tmte8mNW4Pesr2GKed9U5Gzq4Q9Z8QPJHeGjSFQ80niKgpf/c0kEZ8nHArNw2ZlmHBb8By/dhGZxl1b5ULx1f0iaWAWkEKUM3YtsGxYpabJYnwSkTiDMo64gBgrxhTQZX7CUKWiqOBQdF4nN2hlv+Tn4Oru3MjGStTF2lbzVpUmUjgR6IOqUzN4bZjGoWe+sSXGTzNcakY1sbr4+KD2NCpaITUKSqvBrUsLlDq2oxoPksZavZCwOgZAiD5vmY9ZFVKSUS87BcdDKCpsPMuaQOsfKWwcoIOQjaM2ImsaMCKFM0q1V3FXzIXv1gkP+pJAvOgbTrNiV5sr1aMUYHyAIgeBNVjkbmp51/KPJr8GrURzNqF3ILiShHaQSx06QgkrnRa0ouelNcfsYMvV/JLe27qx680eewFnF2v/RkFXus/akPOUVNsvHl6Nx1bi3Hi1zdPK8/lEF03VNCG7BkMLg8orlUBVF8eP06bhw7g8f1fHkSuWqj7S61PVicKePb5DDHfBcEqaPpJSaYbPm5wbeVcOq7o6kiWeAiUwjipJ8jC9JhQNEGG6avhZHDT/SOEi0gaVZjdxYF0E6mJ9sIbRcvyDDmp+J/oFKbG1Z94BPc7QKJDvNQJFbVjwNIQz5xUFf7SWuP7tga4TbR4IuQ7oYlz+ByMFHKdy6zt7t8HLKVxQn0P6lc+Kq+ARbE4UTdcID75mjW5o+Q2PnLW4WNwjp37jEY1OQr4N0hoegKeMkkcb+QcdkpbmdHtSJtsjFVG0SOS8WhXsPSN+KIYBD79lxDw6RMnTyBpnWhnExlw7F05sUXNDpcjXtpstF2k1YEoatfZquxPMTuAJhYZ88sXNO11w0AuDh9Nr79aGWMCcifBb+5lRp/BSNomBslsuFA0xtmOdjwU+MtqB0wWrtM0byXFFZ/3bmLG+lJeszvKjzbP8ekEpJ8IkyYbptfzM6aIFJKM5vRs38AFR6KEdI63pSeVWCspFLjlj5a9C29pg43XK77yrnXhO/0PrQq1TjQ9vm/ev4FLxA4SlBREfE3vWX4VrOUqZjERZlgvO2Zsxru2hW9/5EQ7GGxTjkvkborzO+i3bZbruH2+DI28VFXyLe6HxuO+l6haaaOoS/WLrWTvz1PqSaZJPcdCveKRGJLR5mg4DH3Qm9ts4hNG6pqZYlqqj3S+0Jgou8hwk5jG1mVHOr2t4DFb5RsqZUZjhGmxpxkBiNO46ShDdq7EWdWkcRjymBVK7jpz2HDxhOSDtqo7CLLH4iEnB02+HlJKKdKGaJujXtqvHve5UMYcRXGcpPjy9PlEaMoRDZ3Ytn6APJz8q5x0jISZvtcoF29N8mAkcRPcFNK+N1oZ0gMrKPL1I549oTkYM+XXyjROUxnHfQOOI1jrkpzit4McZDJIlC3yaoB04D0QyyHHACfniyE1Rrrbd8nB5Vr6VDvmwp6MMTT57abJfGhvcnh4P6ExyeJnQF4NFiHQw5PDw1puo0uGBotxyHIUzRKK0Fth7Rjw1pWtcUCdW9g3hSUHpe8B4ubZoWlg9W2xkib+dsWaKPcOrhtwTKRwkAtpz5io9qM98YS0r8rzqaBxqGC3DnT8rM2EIKj0U4mcXIujX0Ba5ZnIi3H9sDhLPqdGGlOUBCo6wzRVj43NcqxBKv8BeKE2eQDbMWzEMzkTisKhWHo0jx1f0WSgjNn8tR57QUMdBeJ3UjhCUvvKxKkKeH4Mo/SzrufWB1UnSUYS90LIPtc8CCS507dqD91gobV2vCSpjJZRbNo7jKMahdTCa04a7q2iQchiNevfFGQ/VP1237kPBQ9bJxl8rMdRoYlQdhMqmKkdE5r4NuUZ525ZX6nYK/mGobKDIZpSDEkaLlFR49AsoIQU8Q1jSuMWGp1ll2h//cAe0yip5N4PGHckX90yx6hjiMbz+qE6xm014jAaRX+Ii8bM42Mv5Gl82zg1FXyPJ9aXr5Bho3MOdT7KOasHveQIwqJDOoDchpOHH0rQ8M1jy+v1wbnnHi6QL7RxZ5I/Wrqyb1yF5p5JnCnvtjPacNDzsVverFIeXk6E1G/RP50EX6YXHapjs0vplRAMcdJQmalvLIPluEGky2iGi8SI3mfGp8nD9FB0RbOVsp3WEEpHVk3Tdkh4YTyLFH7l+RVL2G96HcGdjhI4ZGZqhxqOJZLnomEa7vwFFCZb1Yvk+2sHHxyZkgyhKUJDVcjBtFIIdf8R/sGxVG6nkyxCuRzMWVnFeF+w5I74wUBGKqoUbJwShACgDjNVbHQJQ2RmqQG4XdLW2RZiHWjy8nWIQcIZmwkOoEWsUAiJx8wT6kiiBkiSU4oqfrJMzH37pT8FlQ7VTQ3cEDhKEkluZT8tpDBWliGpjqIxX5NQo4diF4Zb+N2fQklFJC6nOE5+vVreiq9IewwX1Wd5TgJ+iz7VcG9vW9yaI7M6bZWikxqiwVOSUQONoRW5xFClBzltTDJRjgsPp7foUyoFqn+OZXoOklVTO9EnQmBAIal2i+yVKQXvWq6WJ9Wm8+FbYSN6g75lg+dlTClGJN8cBORu0coD6p8cYpXFExavRqwv3q9SP18uolB5La6Gx5awpQu8GSTfCwBTrpfHKktbuPiCTpvHNhKRr3V3SLNVFCNeuVqYLfkBJImr8reuirSFwLFZitetzkTQu0dQGCBoPm+Rlx2H7XJ7ZeWvtSLpCMpnXafADOFm+75xDr7UyehrlPKBd4tLnyIGvy/MoPBjxRVLewjkBfSW9BtlaKvOMHBcFvLtGRL9AcXRPQS3Haby+8+sCbK39Hvj4YX0MG8nTuMQOHYSnmmfRXivhyp5hMHMYTI0ZF+hs4GsCYq1wR7xB8KRR5ieeVviV5bHW6Rvgonggf7eBkFKvBvDOwMjrtH02egQrqg18KF+ILN1XnFqdmnUh3HmXjVMf9s/OTUsZxLMggpwnXH4i2ViOUWkcMJ6snNM/afQHhL8i2HNGPA3Sc6SVl7bz097xv/k7sbirIGkNFWZA1ISmYHvLxsSkM+HejDtOjHJhWaHNFrLBE6f5i3SJB2+HLCBPfXF4GKV4QEJGzok06nxpWNtRifbyOlZsOdacaclv1mPlkRvGMm1QjIMJCCTABklzIuyLSmi/6ig5c6gYGTfU2znyZVr9ogHY7UVDzPtT3+KdwjIOHOO6o87eGqOkzoUV2kTyVnreXlkT4rvmQ1tdBQl7JliuJYEnV4AVlfN7H0LhRA3BqWgRb6y8MEIiq4hGCj0HGSYt65VrVn9yR7bnhdTxv/lxEBtpYPkVB07HetAgDTjzpfMrlm4UPe0k42kSP52HavlwJwysXZtmjV3d8qIdUKcZq8ZXCxTlE82NLod4PLFxaePZxtHKEEn/0lEazVdL03VqJ3HNx3FXVQsapzJUjI5VXtkHC4JGnT5kIhNKFnQUo42ZF7Gl6xqAAmv7pPkOTzc7dksBOY7W2cjLoWgk3R574yq+sl8tTSvX2Lks68I8UD5RQWEEaR5d+U50PxBY61BgtPlCuHN65jjD8Tdr1nc2QEM44FeFtciNk/bUehyCDTW2VrroXfpR8FMcvi/rRrgv9DpN/w0HbbTGO86MJyltRR/zknjKtSHmWw2/NKBln1BdYk2oOtGa53VCJ/E4Ch4djbGcS6198zolfpzkJvnAiPvqpcFlVv9Gd0VJnLQdyPui58boc6xcif7Q4x6IhG3DnjPiW4hzU0phOErNL8vxt5bBM8YEhFlTlMtkN6atw8QKfvqiHWNMKoKrDIop5EZ5HCWBk/otQv6KMa5vgyxVobSq9PNBankKoetLMCSD12MMjK0BhCSy8dTRALR8N3AuQr4RznEZVVqposyJqJJKO238yxGCWqdiJuLsvBAa1rjTnkN5VEEMtxlPwZA2Gn4FNaOcTSgFNk2uJdRXe7wAC/mKL5X+gfA+TveO0Cam9PP1XOpxz+wWHIyx6xu0nuOIv2teeFXnyPmGHAnMk4CBxNZGw6/1GdFxa0P2GQqgJUEi/uF5rQdC4yLLSYVKjq/oF1lDINyhWq49vjqnwmYXeTiNDjAPsVojo4RYHqnoYSNNv5MKkeaLABeyfVikj5A+SmFdJ+eDaBdWXjolAa51NV/IASHrFNybySXV2Cjb0zyJ1PwJ/DTfEUarGr9RygnTimN4cDBh5wZL1h7AU7TH+qLpEFEiyt/wkvxDlAv6ZRRmWvJoTjtqzJDCTGJuOG8uVcm2h1oT64PSZgX9gj6ApllZiSBU3sGaj52UKj8wRniknS4Z3tMB5G5EqxpfhGfkTOWVIl2mpTlrVpRj8+3wY4EK6KvG3duw4j/GgEZ5XTqPvJuk5fKcgHqjhuPH+9zaAeMB+tX0aMXDeH8YDprh6F1l1C/uYDEOP0T/gA9rWdDGkb9TvFbjLtJwn2nZB7ipSHK+0TGDSlc0mLSBr15vvpRey3EouK0D9pwRX5gkN1D10MsdO76gtLJvCdzswAlFiOrt6NYhoJ5icSumxYSbDQFufUXvTBpZ4aRQM3gVaMq3GitWhfaolr5vbbF+EQ+nV22HzL/gIUfTOATYIuNp1UHiMBO+EHU4fel/cSREC1mPo/ZscwVdpHEaWL5EF81xelwcB7Gf9it1SYOv1NkUJWOUiPG3NKpB98szVArtFFrWzK6tURAyP0rcdd1e/+S6tuVgKHUgRHW/FvQxinx4vuTcEDW68i4C0o4EXd5b61pREZc+ijrVhVajjYBojiDn5thlL/T5Rym0MZ6L+u0v1L+2ayATheIAaBTjLJUo5ITS4brCORTQuO4NSJK8aYmQ5iWV7pnjE9FOgVSEjXovLwq0Sic8+wkqQ06GnpvTIe/TeVhaNN+tXMsT6VE4IkiCN36iHcXnUHlhIGmeJPKjlkqinx/PPZtf7agW66tVKpTp0EiWT4RDkQnCURKsdaEPUHvX+oD75/XLzzOop8S54jlKnhk5a/Bab+Xa1EtZEM8NwB20Z+9MsOV6eQTqs157+J4ImSadVlLWiQhJgLm+GwZGAnEeQWrjhCzuLU21M9qLVnnEnHHsmp5zPk5L2rFGpLgbw/DOMmZN2EXzVX548mxrdHaJBy43ZZ2QnwB5q/sF9TExjhIXBNHY1vaUrsHtEXvU0o5ti8REfV+WA7oQxHPgdpnP31YNe86IL8RcJ4j4pJNRXkj9jXaoBpAvCsvhSnR5CiJZEpQ1qDjh4fDUhaBUQkD1Re7IANx5XYXF6D4zhhEZHjoshysvfMHrOclc5jIQMLKGppBqBXuDtVOFxaDD6fm4NyagP4FXcRnad0P55YVI2AsBphSHkVr0ANxpUhMgnQ2WWVFtu+W3O86DSMPKC1dui5Fmx8rrl2iP0dyC2Y2VljVd8XxIiTHKGTUFQHcCKZZ8iOvGkV4AsF9W2UfrK6PQ251ue2szb087mgqvkJf92PYQbTfcJe3gNCUogZDia7f1bxBlBC5KOdCCclSTCXkt6LNO0+1rnPXZSM3LvDVh0gCNQsWSISL5QXmH75cYVUbe3pYykvVOcuULo+QHDQ/NF8jAACagvQrqYv3UfADVnzHueDRdaVOsM/LmZpkObHWpDyxxUQPBdQW9i8Xzx7KrzYnHRzieaE7ajpiiK6aIToUa6z5oHFpb9r6ImiZw5v3CxlqksEscAp5UcWkKc2REFtDrmtOA5sPSCJJPhaiEEfMNdBGqvZ+mlbM8WjdniRudYYYOSSATOP4GT56gyum1jkK2NX0ggJGims/x/BGfYs/I4G53jOB2hPMKrHW9Jricjvgp2vAy/Aj2S9JvxWd0xl+tCTF+ql98PAikWVxKX3w8+Voy9tJgx9HKa7uj3tLITePtCEdJ4Y8qP5ITyGEt6IokPQuertZXdLRqVbD3jHgalswW7zq23WWbJupY/KhQjBISdSlGXRjuRmmnCEj7ibPoTBQK1afKqIA3ExCS/oYlB7GLOMpFUyorxA0vvimCkvguqhQMIm0oOCwvxLuSIAoAAPPxSURBVFOGNwc0N1phELt0bWiaUUiDEKyGmSvHgGctVDxHT/gyhmaMGN0rWirkisEDpZhGaQzo3TnE5OpuNMcP0AXaBbBKrxRESOnhPYvO35UjAF44FRdSrS17fr3cqyBvSm15/DXBmTFGc1RpnpOm8g+lfLu3bKu2R0bcevdQ1Gn6gLDmRkJDRo/nMJgsrc+OgOWtmV1OYHi0fvJ5Y+W0k4LAWqp1Fr7tC3mJHw/rA2NL2lCROI9owQi+r5RBi4roq0lDdKLnecmv5G5Bq6s6g1UaNOQIj5mom5qTWJcr7Uhjl8yE4UgI+Y6n6SgHzk+9XSKpdMo2ECzW2CjyWd4SjZFv0PL84Q5ttKYYX/CcS7xYSFfBuxr1QVy+YJyBv0MjzR/VSV/kOU/jkTyquGhoCOYS8T6782wBRbDo9uL1UnQTOY5eXWFUAJHmzGb8iKyzBuOn2831S+fBeDL5pASF1Idtfivz/Hag0aTmq7Y/4nE3uINxMPyD8TwY2aTWXCRnan1iXNra9aJ8kGoZ6hNKfkrZw+dL4TzYC3l5v4zsVrh4OIdyuu62Y74/Mr0P3vNDrS7b55JH4id1L7tucBRksTmUDCIr6xruVv/m+jAfd92vVcPeM+KHxc5rmSGtvNR86h2/3MksKMZ4sSKKhVnNBzxEBZDQ4ILPKsyyr7q9UicpguX5kTfZu6ABGYwDS7N1MoW0VlbCpq0nCzPONh6eI6ZMyUjSaBrH5sCo+Ua8k4kUex6iVRY3D/JazPs4ufDRXJanZq58dw45n8qPjY3FMQXkWKnGDDBYShoWJI0xIQFuz6iT+dsIUdZlNO5bqs5IIQp3TBVNoDr5GMeXk/kEydeZ3QXxjyhIRbTQKu4zF9ZtsJpg9ur2xriAdShYfoDKIcFc+hkpnV6EgjQKbcMw1BXwN23Icj6gC0Y0gzrdkthaVwYmLKfGSCqRskHB78FcmkgB2xw0WIwyosoIPjmQT7OE7ibhhhRYQ87aWySNsD9lbKUM4ryszShXBhflxvrexYlUWh1/LAtMfkA7Dc/22yq5jC9ox4eZ7wlcFF0xFu3wMJZftQ3DqwdNj7Lv0iCI1qeFzE4fAinL9aV37XczkjHucv5sHqRXefPV2sQRjrpfoT5gi7U7hwBDRWNsnF6g1lSk40BVV2vlbDux3JR5UDua70THWmSUG6qTrS9SYwxw17gQW5d6vgoNSGeqKs8AjZXGBUcsSkDtIdwRXcn7tEpUrVoLxOQD0xd1e/pYmebDCBeZxtaZoVEJQt9h7zznF8fRnom3UZp6rIXuBepGDlZT18BpV65nuxG2OtiTRnxRWHDYS7lMzjJ9z8DkhKAXJ/J80VC8PxwvvjBahej8Kfdo6zAbeb7FF4cS95H9BkyLUIhnK9mYMWxJ9Q8riHzsBC5auAGDRY8xD6fH/ZKGVQmHL3ga5wtXVo3y03Y3PcFQmKSLC6Mr75yQpEOHcbL5jgwB2C/i6ZbBw/ZqnXrEGLNTY1sAhRiKOkd+zwDrO+EdScSobZik3Qnm4ZV6fXFcjcADxlbNz37zpKb0SNx5O96lLOJdYEhMKWX8qSOHRJ3MMNIdlMagElaE5oYpg4zPuX0oNA4EH49MIGf80Tv3UptR00yA3yDLD6DT4Q7o1Lo27bSxReuylWMLgrUX7dxN7bDUfqlyaDxQOH3LA26zt2jVyiRakbIk60H46XKlRqTMEQHjR5RTjlnYhUE9QR5Wd8Wj8kJbN8alpHF+KvkbPp8c4A7q1M6XDTU3UC8ga4jx8pY+AC6Y7Zg0zR5Cw9ThuV57llfzduV8wbpAKj/mMrZJFE/UL+1kQGnoklq8pjC+8p3kO9j44e3Icqj+1PEOxtu1DCEC+nfQH7iGyI7RMMgflaULPVO2hC6A43zO2zAQeAqe6fVhMO80uBtQtVyjAauDSrpCZ78Rz4h4UhvHYIOByE0j8u0s3udG7xwHzUdZ3yt/tKDbU5UqO608+dywPge4r8uO34NGvLrcjJybDh1GIXfG2XtgCHsTysPUy+LSt9aKRaNwKeH4Mk0xbGeBLJNa/QETL7u+fKfD7O6wNMvs0FEAdjlIrbONaxEaoSLEx0M5LMz8jnb8qCxqVs6cL6w9DAQRnD+2U8UZ/CjVF0En1HCR4fSFuWKaK6ANDh5tgLymuj/1cj9OsxW/oY4EFLrUfhPIw+vQfeY0qnsGjUHiyo8dCb6mJE5FbFhGLfvgVi2NH8WN0fluOe66rkb3An+Og1DQ8RGToaSRMzfOeKB+Ibry0rZGvONkjzPY8l6d3MBvs8XKCf4o5xLjzta1xysrzqxtxpM0wN0JxUcifkWEaKE9jbee8ZTSll0TrVxZ3+324IZM5ZUOX4V3ErB+8QLVoCWbv/XZ8isuAzSI9cXqlLuAmAeO7CWkHYUTTmt1xcq334eGp5uk5KBSKoH8xLxMtoPuXMFtKx7NcQ4s/KjPRtnncqaWl7hLvQCN8SCesC/LZ+RM5RCdiff0F5FGvtOgwNSOqchLjj5AdqcP6aKeGBRy18ETVI3riOaGJcVRFf7YtvbA/HlrfbT5F3OjHCtgwjR/Q5sPJOoaTDnthhJjq+QMcsIiXJoOW552PFC0iKd7eU4XIiLpzJa4o35lj4U0PFseLUMQWXn0IXVeWZ7zaB21t9B95XhsyAaX7wCeSu/GUcrgomLYL90/WhvsPSOeFstQTl55+rdPErFzLYMsxwnILBqyi0bwKlIXeyl8sZBi57MgQ5N1aaVT5ufKvsJvaEqur5jjG5Ntn4f6dzmDokPjFs4JvdPKcFesupxT09AWubz8TxoJyhBQ88aBC0MuPAsuxagpOxOeoo7bk2lasSv0KG8zVfUz+i1lSNEMvwiolVOCgbfM6WokRaNMkChFWxhIhAVK7ZvCr5TXuxShsavXosKP48nfyUvXxuUY2/WpcR/sEIk1oQ2pBZ3kac3eiMvS9Fof+Fq3gtJ1sFTeZPlHAZ4WXeyDQt6QAlAdVYqBYH6F1qDs3xQN6PGHik1ZE2QdJJGhiYwMNF+mHEjUuCNHTlP08M3Cbp3sXemneyyKvY37vszPlSWRz77ruZ1e31TdcGNrdwN8ScFRBs07R7EX70AfFu1YpVHgh9pTkLswitEVzFkz1kfmckJd58iQ1/Mr5tShOcj3Cx0LOeOi3p3G7+apzisaZRqAgvtmkrYtTlM3+ksBE49jGz+4iVDwUP0Koys4PSpnPYLweFjFCclN3k7Jb6vSR7/w3GBeIY3JoA/gXeFJMtJW8gY+z0iGeBtkpQwBnTzonsNjWt1d0SnqPdcNkf4m9RxZF9ZRFB+2qIS0o/mblPklzW4o4XbcZsz4F0C0U+9LQuVLyw6/Kq8533ed7VT04fho5qph7xnxQxPGzahBgr88lXBiuU04G6lzgo7yUo2fUpYYo95Q5/1YuTAEVbUhFXTZP3ueUdbRiLKVc3ehRjJMgbezAdIQ8xfGNkAGKei1PpJjxPvHy5Y3dUGOXsi2BMFMxlq04sLHAOFEqE5FJ8VI5uUELgETaf3iBqntc6NRU6UVJBSkAcarGS4WhuVv0TGRpwBXmNHcmDVBINqBpememfXCJLrui46EiISuNlYjIYhumi0Az/qrddkccOyLBnqtB4YbfwePEOgqwRqMlCyOk/XKc95plXDrYG3P0mfNo0W/lGDlbQqlx3HuZI2LkZyxcnCxaZJ+cTnuPJRIYH5V+mn5f2zsNjy3jDJt54YX3HJw57wPGbDIkQ7rYeXi8oA/mvU8sjSJk+DloEHLy2xaeBaW5dXDaHZ2Ae6oLlh/qNOggv5CHuDIyzRNq0gmxnVbmLoMzZyJT7TDxzg6J4/as3VKEHIX5mdr1uVvfrROdPGet0Hk44L7IHBZpkbrhUMcYeO3o792432thkjpVQHw9azftZp4mpVLeo2Lo0GKLha4S71T7MSrSdXOeo6R5Un2crhaZrR0jPrM7QKMn6wXOfC1rCzl4Ln+gTkGFC6iHfOjNIUvt9Y2h8aN48DlX+VJ0ZoAc6rRQ7KH224FlYhvrBr2nhFP9hIvPultskv+9jRhF0pwyXdU6+Kt8zqFEBLE3wCdDS6GI2JoC8UUG2QIKi68X0rZ5fmQ8ocvwZB1Cg8pYAby02/+BTFe2GfFc2jjMqoJMIYA6JdkaINII5JeU4SLZF5yPNHuhGaAnNGIdioGYPzZ2G4pTyAXFi16Q9bFFQdDx4z5IwXWNZyH0md/lwzeJM/oH9Fcc3hIGq13Lag54XWKvqu+cCeS3EEe8XiMXMjIRL3DUseWOX54XbxvaNfF8CRQ3jijqCkOnrKKxoODHqNWr22Pg4kYYP1Dc2PaQ7iwurVRjkAbu3LtSVqb2jU05Vheu6NgK8iekV7gCY4jsPkqoG905lV7FwtC+md1wzB8tJYc5xzsF9m60AVd0aVCNY9aOII3gXZH9tvDhTfjfUUCATZYJP9odM/yVH41fbEdryPjqJqiY+3UkTTjt6PzFMB8n+Pu8H0iu04GzmtxOY5ztM6Iph05HHS0IM8jdv5tgwA/S2sGB4uC0huV/sBoxjSbqlPyO1Sn7AOx/BiXBUjeh44qFMgeoTG4Q5655G/AEEZ8yksT+innpyp/7Ki2NGc3qfwQ7A2Ep2pf4A5waP0alviDT9UyHM1cDvbmensXxMDSGD05tkY7Muyfs5e2TbRepmmnwmjfNTmB7jKoxQwfKDgKXAYQOaGe4l2kUKwI9p4RXxgTUgAGO2nauEa7LmixcUXFKkIsjYoCVZiJ74klRmSexzJihELpEQwNGyqV2YGFyMcELURNulhpLDiXy+GalImYVmtjybS4oU7cmNZ1DSIPEWJWvAWt1Mn+CMOPJKPmSrEIS1MMdCDk8OB9sXMTfa7Eve25MlUmBDl+ui7eLyMMB/GU7fB+ObgQMtRlG5Nnqx1mrHGo7ZVx1P0TwsnBhWSfXaFLwMAJBHi0yyDGeCwCaJDlWblatxlHnuYLQ53C+SLnZXretCKFnESLcpIWUNh0rRPhqRDlY6WPRvD8gtai+VX0MLXzzPGV5Q3qrRjiZgBP1Yyg3wIobLGlyfKgOUcxanyhyJeoHDIOGu4R50Z4yXFHhoAXwcLLwboF7zQNi0xonaF2eHN6bjYDrT88G1yflsh5KeTEGivuBU/epq4fte3TE9U6Fb8acd3FQDL9GhB/RLj4eEqndGx4iHJwXUuZgOkKIOHgx2VWtHPPj8QhvaA51CMD2tbppQnZGKSReofn0uJpCopX03xRgEM7NRnoBaI9xkfKmrC4+/JF0CjTgXj7UPsK6oQ0xGSkz/cLT/J1Bomn3za0UQI+l3I8IxmiCAzRDgKkt6DNB4O7ac8e75WOf/lctCXvHOJ1akdwFFFCQ6nLzlN4LGqbsOeM+DKh0bkMbZy1csrAVxOzSGYLY3SEjMKJh8OaNFBOLkhFLFW42W9pi3z1OVQcvLQF7oihKdzBQrRn4hdpW2r3iDMqtOtY3vO6oKEOGCCZPKXPjFGwsXLDxyuDH00aV8a3HEVF4tIEimUwUthwLyH03Ko+6/prOVLGD/Jkoz6TNP55Xk/ZB3qoIW7tTKp1VuUKC10h1FQCnu+SjJ1R43JgQgOM51/+o8HiF4Xaa/oz7Y2xIjqoyeFeYU0DaG1o4AZLpIAh8HYbURgcp3/oedfrBbUHeFkY+s7GYWsppHXaAm985wdScLwd7kncozmNFEulvEPlFpTzLiUaiUftBHhGylmQ33MmNcOttA14XzhGJHC2kUp2baDynLe0NL52VX7Yh4IL4rUSz1Ir5q/xGBcDxDiZQX54Rp3zpMQYpxw/aDwMLmR5UkRXtjlXXvBXG0X4iHI+v2qfafPbi9ZnJHcRfpFRN0DcZXlePL7/QtIeDG22aBr+HdbJ0hAumO5lWeyYVfyA0EW5gIeBdrzoIC/azOqN0XjIp760uJTTxji6v6HWqXUpPp4Bf4v4MP90sk6c4unmaIpas5jvtD5rHo+OgBl+xXFX6Am9kb/v0RVYnq1Rfw3MljdrUOjTLY3bJwvcGx179kj02cTtwr611XwGwxYn2FEqg57iy7JDRlughSTysnIhLZSXsf0mx8O/tEoQU/UvCwKEBxe+7DPq18bGAgdobFXixF7ugj/ceWN9r3WNckfYYyICF9st2a+6amUdYuGSxI/f/F9SkZAhkosZnj8V5bDDqAmG9jJUpKAiJOmjO3yTou99WoaLlCyksCHGXsq1Cwz12rDOBiE0jEKK5kbWKZgrEEqk0uyOk/XSQoEgxoO1M8oy8eVplla1E8Ws+VGOn8CdbBqMoFB4TCkOKPTaiCmeNjpjJrIrOgbOMjj+Fj1oOOi1HkUBcP7m1SmiW6LBSuBpGmNp7ZgX+tyo/ESmLsfrlmdbffym5EUqv31lDT5Qf7ijDmg8de5S0w5KK/WNdp6jPiA6jO9VKP3MpcX8iuEyZvLbMY4cfZ4SbnMAeYEcu6WUMIJsnjaXcJBqO1rRj3fNbd+tIQbmO6QFJSeI4GWPXn7ZznRa6lw+cFYqNiDeBc0K/tjegbpoevyg82T51OHZSE7IcnLeUJ3E9UywJkYVYiCrkh4qrWNwfquPNSFcMjwJpcm6LK2aaFIh66b5Ru9xoVGlBaTTdLUpOQ1oZ8qRw+sSUYKj5t8KF8L8ptk/dlK8KFSES5UhhDdQUXTZKmDP7cQXI2HxWxJjnSCkLEHjTII0MO13q5ty1RRzm2apTAu10v4WUDgEwaryFU/lsbcELkuaCAPW43G0IbK8HXPb9tAWDTdmtphgFwZLILgK0xf95/0ivHCKI4Efq2jt8D7b9lTvobFGevwrQwNGCYE+AONHjx8HHbYffREBna+H4fQAP1LlBloUHFFaW0ru+HHc0WLSSTCCQs0finwhjotCZjGe8TeghZONgk8oAcFabskVdQL+oT8VJ29DdW5XJ7R2y99tUj1FNHIceYJI42B22/nclLzke6gRhDtOxNaL4dEsv2rPM9x0ZE10YV9Exx4ZL96hda1oCNUpaEDVJfj9uKyz4N7WtcYJyTPdXuFlaMwE7orvyHZ8mkFjFO0EjyoPjFpLGM5wp4+3A/i2wT00tgp+VobUPCTzoDS5lmy72iHM8W/8DeEun1LHUPwU4mX5h8YP6h9gbjTv5BCF8oaGOjQ8NK+YHndct48LMnajI0E8gkrjELUdHRuCBlmQhuY0uuVf31fAcdB4ynkuvGhahuC0iOb8cgMBPUkf/SKrC03pz3ZH3eJSsyTomG9q2bQi+yeOEITt+AUlf5MZ4ohA1p7jeMb8o73TPN20A4xxiENtY6j1VqdXdai1GowsHiIdCrdn2DrifZrnhit8e7D3jHg2mG2BWIHe8jco+p7H9AXhAiFqd3lGVnGAgyrH9HObRtYoQWBwAcZPIUoU1leAe9X57YzlWbLr8ylbozQwS97o0xPFDua7Np5zC80FCh83l/3UPoPyguHaOdHtIgNJL2ohUGCfpfDkxpnuQ7vYzgrIgXFcw/QHtEtvx8rWOUWHahzqn4VO0NcBRKWifxI/WScREHi17qkzUapOJIhY3z2Hx6JPJV9ZE/J9qUP3Swtz6xAbBR3ydvk6g8qESpMC1go6kx/wETdqgcjHc+S39zZkjIGv2uDvxK50gDu6eRfhpS97jC7/8tand0xDl0PA+YGZL2ppi7ZwObdOTUM0tUvcnobvAPmEjv1EOOTatnzE5OEKm8Irs3uO2wVprE4vikaWk2u+vBOytdx3AnGxi1fj7iuW2NGK6kfkiOhJt4138PV8BWG0qL1oThCewtjCxg8RgUivoE615mEaLCf/9gxMtK49mcPzR04ljYNePwJnNNYBUxJ1OkYazK/w9vDyyhNrLpqvWo7NrXHOiTqtlujKxkjXGOw7bihqnRvtkKNNJ4sL4rU+oDTvPiKOeyb6I2oPO8T4+HuXHi9xBIa6GOPlM7wDpcqe1pLGD/GKDM3yesVa8hw5xD79HeC+athzRjzaNagwcANOCSCwolA4lTxDNRriKeU4Ex9JG1tUCUUqxazdUSnv5YmE/IQRpBlLM56Qgi0HQiiGoH490Is6tXd8iQNgkhHuJb/cUeQLFzPwsg55FAFCF/V5ZL+4klB2XGU7bfxHIsXQWp7qnDB9N6gnFOBRKbcMv9Fx1tgqWZ5mNOn2MruV3pcGPMFV0viawJ+gaf3SdWq0Cn1xL60xCHiIpxC6eG7QJVJIyBMhT68dD44/T4RKNXtaZXBgaSMsx9vzaE30Wbz3lQMNYr6NIW3rtEahpTnOHnvXickj8mu6QPmtTGj0YedLt4MNRUwLph3FMxHd6zrDHTiIpxp/R7HpfafTJO5y7tvNxai8nZzU99EVHcooK4kLWoPi7eDPVwH5LXJHJoAcjU6G+j6kR7S+ln+HoddQpk7TYWYXfADzx+m/6Feoqh6jFTnw44u6ZB4hi9WTUBrkZcEagjgAOVj7PLh52ubDzPaSPEnXhXSa/i82lDSEn8Jz8I/8yXcZWp06PihfwvWoxq/IVPmZXsY/VHtphyngdTwTijyU2SS/n6IdzWuJkENMleN0IvgvRFmOv8JZ6DQO40abMaidQb1D94uVp3cpYnPEB+sFyC6blsu/athzRjxXAom0NwidDWYTO/q7GeWMjair1iHb1oLO+7RUSdMMAxkL+mzIFGicsFAbrEdboCf7bBbiSKZfmLkOwvDkBhXGvc2Jz6j9vnLG6QlP7ysEvD2oZA1AsSyZWU5nyGSaYHYtzbskAzER4rib/AkhQ5xOSxof/1FUDHe/2Zrgf0NPLMchUK/0WooMD83oZd3NaRCxW9QvnSbesfY4r0E4E0tvApm9J0Vrho+A9YLGGMhLf4StIBpAoukLM/61MBVORzAPjjw3eGpln4PHcxGN6jILnAeYR+JnhX2IO+iryUNWkYoV9PYsdFNKe8ZWOhR1sGOMcbD8o+1Y+2tCt8d/Z4yE6NJBse4cHs/bw3QYjLtqD/UnUrjJ5LE4yTrBhKl+NWW/TfAUT9eQ2TESkUNEjs5AS7UAOT7AGAeI4ggb2R4opl7i8qgcKu9dpuhBhtciB4RuGzlBol1V9NlGwwOJOUxBv7x7e6bq1Ligsvn7X3z8vLolDtHalWtDbmgEvNkuPYPLlMyawpPLtYyDlusVVh8ADQKIL4a1uNuvOQxCT168a+X05g+6M0vTtsRB4yf5j66zqKL8k8utLdUv0PcYF94v37FVcQjoadWwB414TUgo7DPHjLEwDJiBWIBqx1S3w6rRdda/mPHfivHLlnycOJMsi801EghECixb5GmW+MHFdkS2PbKMRzPHEmaNQlfl2aaW31ySQnJxw3mmcl7eMjc5jqWu9mdxdng7CtLAZPMWzFe96Z7h7nl82267ZZwlMoTjg/sl32nFFPWLvyOVBiMMqO2IubvSo93ppoHa3IB2I6dBpTlvvTnvNMh+ybWHMiLFy71DQgg1hnux4mvVQ332nK02kUOOUVfGGIbtG2NpqGVYgyKtlfbnRtRpuyCMmXbhp0qb6HM4X0vgUR8eaKXOo0fTLpyb9lTTDI1qkwbxk3xugWehE8W3BJ4NX8/I8Jy9Xl28bQJ4FfB2UaWDxdZtcAnGWOAC8NQNYqPOp6G2dkGiLj+BJ5FcU3ieW5qn7EdtC2kW8Tywbjz6KLqN146t2383pdhbnWG6JWTkeRsoPD+qOnvWvNXVntFRAK8cjCKI6DFcLwEdqjFGjqYwUkZWtsQdIrFMQ+Po49dzbwmS70TAYQrSNB1K+8BfS7rO2XRS8CGpx7l1IT6M8IvmZAnoIsKWNk07PNHTuUYmOEPdpL2lQv36Kyv46F15IWvQuNvNFd2unW9eG5/LUfcr4Pergj1oxC+f/B17up42Asanmhl5oZjduZSXWTR8hMKs2vd24AwxTjBjk8aJyzF+uMcYCYtiMPpRBIz5sLCexj/lZEyH78uuhoILjRHxNHyZGTrz7CpunJkHim85K4NwIT7GSQMzVqBkf1q/7LdpzaV3rOZIyPBpcw2PZY0IT96WOR8+LL4eIXEoSeiCtNYH6yFldRsaZ7iMo6BV1Gd09rv1iwkJ7cCh5hTS+UP6JTJ5NF5cyGth2MYKRJSIOpw+j2RplZqCA9f8qGiI06VxRNi6s5EhOn+0u8ZQY+XYe8cQiA24lsdcMIV2xADurb2SJ+JzPj1GSm48jnLeiKRyVi/+DHBoSiqo32cbk84MDzJpGXmBHE6L94m6wrG1a2lU6yia0+721N/CmRSMMbwgDfABT8fIrI0oIgpvkgwmf9RpGOqttFnEiyJjsjVncUEoRWMs8DAyAeVVvF20E8gLUMAzSlD9YWRCwHdkfomfdPRJusLGv82v68btResFjAe1p9aTeHmrX7H2gg0XD0+om/esa8fZXsBuuPhpvH4UCRiVM+Up0EUJOEp4uTonQTsJoWDkPFPqJS6KxzA9qZTzxkXWFUT/AjrmPG9dsPeMeGVemB3oUe6IaSoZWR2tTvYbEZVK08qEWDzhJxN8XMyuIzDIEM4wjb/UOASV2Z1Fy+A3loOM+lX+5v1CN97HDNAuzgKtLvv5M23AoV1i2Z4+GxXgEjFemwTfpnahCHj460VKSeaTEPzI28qVK54mlVggUFS/+Pp0lQm0pkJ8W7FKhxuDSrPRHKgueRldeWfzy8vTVF21PKI5258WtaPSkNCIhKGBcSK/xA/xOd0X0QdgGMAQSqV0xjsXVEPWSONAth0xRpVWLF42T3tnHUeq6jEaY1s3esnHoQA6IpXZfUQOlujMbcsjnzwf0kczvE+8A3VEIe9enbHCh9La0zuK0WQPcEKx3DYiDeEp8yAdIDaemnPUOI4ELozHmKizAC+UZtazzRNHGbZyGRoNcVE8Io8DWy9OO9GZ+AbN45iZZ4RDvKs/HU7PcTTyApTrxkXlQcBll7duJH64jqlycE6jcmpSs2fphWE6KhpQ68yrw6OrjI7HaSlzf4N4V59cJigHMpdZo3wX1UlkdZSWB+AJZIiJcBraKvJ0NKnjgTSDp50btOb17vwwlO/EW97Oy0UQ03ijnUUT+CLwddnxe8+In5gEIoLCcGNjMIvGEKUw/Ia6o2ja4QROiwWQ8ehpJVSGbUh8Izx13aPGXZVf7OZhpiMUjUBYlMpKhMLkeZiI+QCGC8uNytGhmB069754jxnMlBfaC5ELL1kZLDMWyhzYKbGhYCyNsCech9M3/Oy8eR5SxAAHKo4m6zAqaRoH006ofMtyUgm3NGDHuBU0u0rs71HlD4VoQKv8d6M1u250v6ozD+QpfcZHJOxnFDmexgmo6CTq8+RnbUDfSb2Lz/UH/A6+bH1u+QDf0cpLeQ3oF146GvEWgF9GGU/1NeTR9l0zRmwfiuNOHEMpRkmEE+dXy1dmnQq8/LFCSnjlA8qBxnGNd4700/JVBJFRiOYylEsZwyiaS7L9q2lBnVPRJoa/BQszlKkhH+a81irtPC/Ec7AvkezJGh5aX8tcvLcJI2Uycxr0i6hOQKy3tDqto8MHFHHUaDWaN7/ulH4FdA1eQI9JfLEdWNfqHVrKoSwG+bXTi9fRxqPQDTiyR0iP8HFB7WmnNIKQrkxdI15Dpg7Qd6gjY3rnf+J7v0paq9vTubAtNc3bET7RuGPRI9sJZfnA9X1/LXF+Nao8Ek+ly6s864C9Z8Srp9idG+Jdl2rsAuLwyk159nWa3ulDxm7DHe8e2nOyE9JQAb8YovTZ24EQaexdwUMzyWGwzJr3vRoeEe6qHOoW0BfE4jbzxf5efCYCHJtQ7emoACOEEso7FygmzaHHaPw8FKLLdLK7Gxo/lC+DpxCioHyhgVaOrzNptui7Fhb1SjyHZVt8x1QrYJO7WIDGNe6obf5O48yR0PhldicG3l4g8PQr0YekoNOALo8hNedSAfCUfmZgBp0QfSYiE0Gl8wf8DYbuLoEbvqZtRTvDEhnp8IjG0V+f/MhNpg+5u1ei9qJyKA28S9Cct1an8ELrKHPpXcj/Ax6o2y35LaK2fltXhGdQtwIv6sz0ofBT5myvDkKWW7ctI2Rs2zotdTs9w89G3dj2ED1m5Bn62xiFrA+boCHdL1m3WusGE2etGzr0+8xBH0uSdcq6UVpqEygw7hAtoBrhV0XU+Mm5XNIjsDT00SxeR2uPyUjtKQEA1wvwDtg11MrZHW6GgxK4hh5hnQEfFtOOx5PXgenQ5jftgJJ8TnRqfPdH67t3x0jR4yAuQ/sUm95IkrqhpVstFzYA3Vo+J410gcuiVtg/v184P5ch2mG9Tth7RnwVbvylTETeIxJEiRcwdwigNuWuqJx0z/ssCB0tRKNYtj5kFTa0I6XLNYYm/+ZRBHqXbGTv+GKtN96rcYmYVh0rivtFauHiHWT+3V/MRECVJk06gCYWfikDjC67A4RwCBhaHWNJVzrNKgdo3OUTKZ0Sd++8N2KYEveRddqupdHStmhHP5EEs3U3epLzjuqSafZdgfDW4LIeYZqsG13aWGh1FDjLPOjs8kBtbvT4wfFg78wdAabHti+lk0j4NqXa4rl4r3BR7y1+cu1hnivnS4w/R9k4WGxt2pGGIlimwlJdPB1ZItJIOrxknUG77LcZY9ReMNHB8mJtcF4b8FGhmMt3UNlfPiM5GPEBSOM1zdIh6qzm0aHCDNrRyKChDi9yAwV1tA4qh+ti+Gl5FI6tbbvV3foQOezMO9OaxRPxTm4IaH4q25braxPSx5L2NDMjPB5RH2L6QO2ousA8oEg20x7Ez+ctNMg8RLFuonFBkF3zXh6OA0rT4wCj3MyTjaNYL3J+IyMZRUAURKNIwjhkPuJl8h3a1EqvpYAfxk5R+25UaQiXyFGr2+dlrf7H5xnhF42txcU1vCfkoOWPfn7Oh6P8q4Y9Z8RHl6/xyfZCMhbGBdX8GoTyTVgRXRB/S+DGLhKwkYEfCt9AY+AKqbs7sWR2HD+OROmfG5I72kVdBAP3ViEDjnUi6FfMoHREgu6fZI4Mv6rwyjmZCvt3PY/kh8C34wWoziZFxfgZhY2nyURxmaLCHdGxdgzExgUIp1K4QCeKYPpyjBcrQ3mkGZ3o0HIUSg3xJDzGpZj0CtsqNZ2QCHEbal6ttKDxg04vNQ7oRlzUL+8SQA7+OsP5G04SN5SmQY6BfA/rFkqWXzd29MkfU4qNdyyJg+VXdo44NNqJcNc/MJ6FH5m+MvryqirleSLsH4qgKGlcJoxqbizqbNx9PizGX8tUVi46kqWaC8c4wpOIiEe7oDo9HqHxjG7UjlCInS4tzXxJJKKrZHsx3fv8qpW3+Om0KDwY0ULUYCx7GmiHvMy/gE1A99ZABb8CXjYVWWPz69ptOQRcV9N5c2sitz69NMlDUf4ytou/EZ/qiaKZgsgAQ7JA41Ig0gdEO7W9znFMzOkUnqNSAFGV8YW8Pg4cIhtA161lliyneTyWpaVVRKPRsWWLl+2Ddso1HQrbFeNSOWzrjAygKF7rGG96ZhRVuGrYc0Y8Vi6Wz+UEISaUYZz8e80iPxA8smCbdHTLa+ZM5aCJkuPZzcQbLgsltVm7iBGaG8Z5XU6/tkZ05hYxCi4MR7HYIsYJmaPARXpSRZQELcdQDS6c71h99HFROKF2GpYxgzFnpEU7jPk43sjei28iDymiE2+EuBMFOdci2iaVtli78qI2jqcxcABOsUCWa1g4rxTevD/xOuPllhdTKXqUOOAnCqQZhubwCNeZw5s4+U/RnAcmRI7smBU8xbug7wU74QREbQeKHlKwDc7RmtC0wNqJacfiq2ncM9Q9PBGUlE0eLqnpPhiXiHeidhAvwwq2bIfIzn3v7lBL83EPnZUip3KIRXQY4IJwsA75KRr3wX7rG+AQvOtP07wsWht+9IF4heZEGyyAv2q9CulltT6GCDpXbnCpaa1g9ny+fpddX/rTjwg0zUl+H/ArJv9K1shJrw22RdSkrBONR6Rn6nISP4kDEGOiX1G4uV67U0cxPAcOUw1NuYGsrI0+xYbareVCuSn/XsjiSJ7JZymj33k4xNEAaK1HcqKV13f91OxgQaO1G0Wfmj4EuCDgMsvSgi0Y3QNgddf4kuRVw64a8VdddRUNwyD+vf/97xd5fud3fofuv/9+OnToEF1++eX01//6X99eo8HijnaFFmtbKY9TjFPtsApjKzBGfNSt5INKcQmj9asSxG93cOTfOr8AZwfT4g7eqURulNjdqNJc7kZ4osTn8aCwDnaX1dL0dh01LhJfqz0WurJ9YAqb7gtSmJkAsvQbCW3/XZuT0WRCCpv2WEpvt50H1J52QunbRqGTggqecf90Gu9bG8dAAQBpUVgf/uSYI7hAe7Vfgu5be2aXhys9jpe8pfvnyrlDkif6kQk2LbosKDsulr8Nhj6wkiT/lgq9zV/bU0+Jn03TkVuZUFk8zyhShs3zSHDdYAOplAO0oMcTyTxWl6YviB/gEZn8EmfbNshl3lj6t6nGEQzarekTkUMhnnANOjvWok2/zigEO3R4ACJHx5O8XWUsE/z2RJ2e/Bzid6m0IZhLKVShfOfjYpcQWLsZ4xrgl92lD5o2OKAs8VdrgvUGmvXkrii3TPQcx/p3qwus3dGuT50NOg3q0x9jBJEMaXzRx4XIpzk07yG/q3n8tNrm2KJ/IR8oUSbAmovOZKeiI4AMR/yjQMS/Ef1H8lZn4riENod6NwwDbY14bgpM2hWRLEjmXxfsW38TMbznPe+hL/3SL61/Hz9+vP7+xCc+Qc9//vPp4Ycfpu///u+n3/3d36VXv/rVdPLkSfqyL/uyWe1NMbswXLe+k3Vx5Ywvas9zaJV3q6BzMEbCEj2t2PG+8IZiIpOCT7RDxdj1Gac4XhAqAoEwZE8bSh3gHjDxplj65VH+xVN+Pi5WPpcMdGIhR8Zue6fwA+NXXqGL8OQFLOVde45Ek8ZMpFBaPK1yAenKEeD8IiZhzCxpLgoTQ+PunQtt5ydHk1YeC0EZzKV6IkMMOXUiAxMa1WTTFrv0QPAN7SJIi+/QcFJ4TilE3nnXwh95HZo3oYi1RblR8CskvFGEh3GwlPdeKF64W+O/azgEa12v2bqmJi7ZU0+JyzSPjvDUTjvRHuCT6FJFiwtIAziEPBoaRAoHBhlHsDmLGbXLKtKKusgfyPc4rNLvX9Bcji5ZWuroXuVhNg86mtatkFq0FvyZfAcodt6iMQvoMKAhBNBIKHMZHCMp0Obbls/ignRD64gH5UBdVYazz8Tq8imnQXeaTwxp+hhlalYfaxWU0jkcWmtyPOBYGRyVzDHtTfNouTZGU6euW9MVr7t9vSPnsK64BGsJQRzZpOvmaWyM7WAF+ElY7Lb7xTI2QNSOvpDQ/cTcOEK6lHVa/uGVEborTeffLuy6EX/8+HG66KKLYNqP/diP0ac+9Sn6oR/6ITpw4AA95SlPoQ996EP0Hd/xHfON+Eh4TpQrCjPg9RCMQ4A9y9tiWHnngrzPYJSyTTArYgEKs+iPwAXvTmwM6BZJWZ6HvaDdL28hynKK0RNX2EA5wPgKyMssVJ8Z4yzjrpm+uCFf99kYXXwcLTL6jKmLi9o14EpMtNPa2mnjz4020a8N/3Mg4UV6QEkQ2Z1dFyJ//KuiN/K6AuavaAHtttPgf/qDl4FOA4UCnstgrNjvzFEW70w8x39D9UvUCdaGPpco0FQ417VLvoIicbFzH14qpGi1tQcsfIGYpbWWnfG3mt3nA/o8o2wmQWuB8pgQF7DgpOLhCPmFriQTsYKoHRj+OIYyIZgbnN8fKwQQB0BrGjJHN3B7edyE8RnQQCY8GEEYnh2OsfxbpCUNnfIKKaKDyWUNdMOHGc4ZByjCD/My0A7AXfe7GD/ws4vLcpso9hSulxG8033o5EnBugxpG6wXewSJpdUIFNkuxgW1Z+s0uGTpd/mKXyios9XLX4GVE7XD+4B2iaO6/B11W87olANPm6aP0HmVWC98cxC3IwsOAj+3GNSPUkd1QDuGHoecMySU00o3l2kLyBxLwLiAtEDHi4R+pBNG/H5VsOtn4t///vfTqVOn6M4776Rv+7Zvo8cff7ymfeADH6DnPOc5dODAgfru0UcfpX/zb/4N/df/+l/dOj/5yU/SJz7xCfGvwNSAewat9IoFhBcxRcN8itDBu1ANZ5mfqHmWjFEykFH6MVG2VarD6YVROPqOhHLpXdRONS42eDkPlaGmRyGhGUWqOCAkLq28t8M3UHOsaGGWO09nBTri10jAIsapmSPcxRU0qm6LZ3VH4+H1p15WA3axkVA0ip7j6FAkZ8fRoQGDu1JwvJ3gKcgKSjRW6LvX/aGM8qgO2uHuOZsq67RpGcgobJDuax9Aml7rDu66Ha2gcAdQtC4R6CT+N+SVZUcMrT3SzpBpWoV4QgU4IWcgfVl61OXaVxPs7gSa22iMeRocPrOjKFJhnQhCxTIoz8u5jkVRl0/3BaLwYAQte8BjeF21XICLejkME7I4Y3AM9p3GOdpRykTH8XwxjfppCJqsWlSMZcHQ8hjcp99NhVtHvDbjPESQMcRQKLXmtSItMpDAfGlc0sfWSrng+FT2bh1dJ3aGBLgwGi/yw4TVk13HaF22OqP2APK6XJQI27EyAW4AgqMKNanWmeEHgewh5Fyelln8MucMrfU6TM3m4NJ2ExtRJNMQnuJdlKbeTUUYrBp2dSf+q7/6q+muu+6i8847j37t136N3vGOd9B//I//kb7jO76DiIg+/vGP09VXXy3KXHjhhTXt3HPPhfW+733vo2/6pm+CadGikZM8DXDyVNoI8peb09E5Y83sRpoK5y74Roxa1rdI88vp8lP5tdLu9Zn/Lb+tLPOidzg8uBXwmCuHFlJny8wd48zNqlPlitPAtMeLRfjVOoGxpJiqVMwls4NKD+oPGw/Xo03oRn5Z58j7xfJ54YcDFceRNTx4uZbGcKlt4h0Wzyj0djyQwo6EUtbxo9MMDnzeBB3j3VdAOoaGpLBha2ks0Tdk6qp11iozisACTRhBAfCMaLziR5LWwrZVnToN8avIuNN3NHD8Ij4wdRbfc7IRsZ2Suss2LaG6lZHIsAr4PlY6I3mE0vx2Csy+xCii0QCnCLL8fiTsKIHlgAKMZI+W4RyZ6DhUdKleKmw/0hWSc+PJhEUabk/wMhcD7piycvnxrVHkgeUDQxhBd5i681z85vM7Kn4V4WDLD6oFsZOs5QWqM+SrPi4oYis69qZlCDzaKeSSyh/ijtJoMo013XDfUPiNLU/mqGWc1sYa7WYT4Q2l8p6/g9Fxs+fL1qVlD2onK8MbDn6mqK7wMm2VZxh8vsN1ALM+BS5yXMpqUiizzUF/Da0aVr4T//a3v52GYQj/feQjHyEioje96U30wAMP0O23305f/uVfTt/+7d9O3/3d302f/OQnt4XDO97xDvqzP/uz+u+P//iPa9q0gqjT7EKMGKDw/hAtdxRlGg1SceQXV2hmwhV4JLS153EgYOgovEV+hcvinWScfKeJVDmOO0eMMyBdJ39PJHcyxzpopqsW+doqYEaE5rLhUnA3C57Yp+mUgIQKB6vTtgPRtWm1LstA9fmq0CEwTN8mm/agI8Fa0lj5yfaAs6bggZxe5W9eLg4tb3PDjWieZ4ONse5DhLvIAwy/iC5aO2D8jEAAIPqFFa8y/tGFYvysP2otsyPWK0S1bRcZu7w0OnfWcEHvANKg3gLwk5OGfsF4GKQtL8usdWjsMhpyI5QGxYOddkw5ZPgFfBX1wYtY4pUESQ5eKK3MPUh0KhVrPSjG81tnnswj+SMbP0+YOO24aeCdDn9G+dHcZGgAvWvk3DKhr4O45QN+EK3rLP/RfHVqx07jx798Q0T0LZ99K504vF/iB9nW9nlMT/QSdB6yd02Hk5Uhg12sWScqDkFEJ9GdEPqtn1/+8nTQKfygDAkWDN75b789PjB5pCXPBiadtl553K+IruRTbk7l8JvS4zy+08Lwl2l+c1j+BboQciZpB4tYL4Zp+dhEvD3jgEO4oPoi2l4VrHwn/s1vfjO96lWvCvNcc8018P0999xDjz/+OH3sYx+jG2+8kS666CL60z/9U5Gn/O2doyciOnjwIB08eBCmReeRsEHbfnvfkEf5JdFLgtPe/xG8kwqKz+1MiC3LEl1i1Mr772oxrqSWV3VnSIbfE0v3lKxRCdmahyupoM8miiAQMlNnJD2FuV4AxykhEmqBIMqdZWs0oJpT+YGw1jsXIC0y4Mxn0JICNlLGidXprSVkmCIl0juHjiMGEJ3469TeL8GOpiBlDrRD6h1Pic9r03SaTWLHXiyNm3LDEK4XfUwmVDoBNugIgYmgUHMilQsk0FUfeJp+MfK+ItxBJaVt5brmWTcQEk40hqgzWGcpR0lAcxUNoRxM8/RIFuHbzn18U3KCpwV0hcPqS5rfr+iyoKgckuE1LciP0/zx03VyJ6Xmxwi3SHnH7ch5Eo7xSFfg46GIO+Qppj6/bmSgwsLJtettBsgqh5qX53rFM6+MccG2MhEloz8Gnl/iyXXKgCXF/ArIqlZQtifqrE/EaxOyDvIPi1/GGI8cAtGZ+FhORH322xuWk4Lod4GHqkvooCMhZ6rAZQTvFE4hf1Q6r/xkGeLbEe+zaWWcM5e4hnVOyfAJh8eUsZvSQQGvjuSeqcei2S/PwvzRql8NrNyIP336NJ0+fXpW2Q996EO0sbFBF1xwARER3XvvvfTOd76T/vIv/5L27194Un/u536ObrzxRjeUfgqkAJPv+CJv4TIlzdYxxUTM+eSh1cn5FQ9d1aHN4vZ31Za3A5TadeFC19sBYn1AxvFgcJBKhVdnxd0xskSdpNPGePzVOIi6VaXCw9+kIfBK2r63KgNhGDIhLuTVrlAgPKOxRfcA8LqMY0XNG959AfMOFBTVXKUrOc9mNq3BMIDddla3DSFjtXneZAJh/4EAipS5SjsjH3ebHykAuu0IB32eC9VNtNh1EsmqTkjjDDIh8wTGWMyzUwE6nzjXuRGf+bT4hWuWl1DJoSGbUOh7z5jyPltlouHg0TaEjjmVUUzT/ZM4BLwvUDYjhXnDn5r4vGvFE9U9zaMRhO2A/KPOtMRnKjw+1R7oVxQej6DH+JF6i08XmbpDnIK07Gf1tLwo+YA4a2WQrAvyIwhlPso/+HnwmvB5WIHwQsEOXiv5nMUpV+cg8Of5IqchXPPBOFrjk38JyjIJdEGjf/dVnKbxNMe2ULmiX4V9AHUX/FH+YPwRnuiyx2g926hExsNYPqv/+f3SF2pK3WQa0HrJrI1Fe6NKo4ZnIroiku/E5qZsVpgNsm7ukoddu9juAx/4AP3Nv/k36cMf/jD94R/+If3Yj/0YvfGNb6RXvOIV1UB/2cteRgcOHKDXvOY19Hu/93v04z/+4/Sd3/md9KY3vWl2u5OeRzOhjBCo7Jqz/CXN7JKhneNg4ToKynSo5mCfI2akqL16Az0Iv+cFTbgc658nSKZ2Blp7dlzQGEf5TZ7lXKJd23IngclPxcEyvVsD2yNn3hMKGxorbsBFClvzaBNt6d35EIdSzq+zCgGg9cRKTLDOEv3i60wIZCWO2nk10A6fE8dRVesdOX4WMsoZAinwigecxFPml2tJ0BNbszpNIzHQ9O7VyNKwcJJ9QAZf/GUD1laR2rJqJ6Q0okebltnVH0CaQYBlLHmk4hXhB+oGbU/hycGGNLLxByW08g8VPaVcIMiG0cZyyX/HlW+bn6/1aRy8Br35HnVawqDFa35anpWjZvJI0XQ52U6Eg/07UjajIwsZgy8CMH2mblhusPPdgws6ErC1NYbj4EH/ZYAIPx/3zKVfHLxjFvh4UiQHp+lK8OGIf5T8gJfj/P54lPyZG8bRu6DK2LEO2wHjp/Ebmt6idV8EqQsJg7lB77CcAPK2lovk8/S6hFFPTIbwy7U5gtgJLtNEPoBLvHkmmsN9ID9PpE+gCYgink3uEedbF+zaxXYHDx6kv/t3/y69+93vpk9+8pN09dVX0xvf+EZhoJ84cYJ+9md/ll7/+tfT0572NDr//PPpXe961+zPyxHhwUehoahgMagjA4m/c884EjIifSKBOxhkz37pPqRCLt0crZ1xHNtlWsDtE14yMcg8pU5UnqfrBb8wxEaV5uMypRBZhaGNsXW+yKdsT85beOYcKOH8HLueE0mrklFD5hgyQoS7g6fzDtVpHR4sjVQ0hKpTRwaULMYhpnBa/FZprA53bsX4S5gyaBsOPoMX7xJrAgsQmUfgaBw0g3jP8WyFbLugOUhXkRCFYecVT7UrQmQcEbFyUeqxdUf5cR6/PQTZT9Z4iUGSYzD6a0l7G6Lww/Ru7/LZHaYK+HdGmSbq21mMpil10WKUhug/pJ14HKbaWfRbFgjJkI+xGTOU3coe7RyN8AsVUYCzUegHu9ahXEJ1ZtoFefQ4LI5BLYBfWJtZ7wPLj+rO4odedkd9qHyID3Ow/HT5Hukf9e8hR1fBvMVnrHv77PeLlKwTaQFEPAx9WrHhQm6a1l3FXEW4qPUp8Qx4oC4xYRTmeCbvu9xMiMpFNu7Uein6nwfZu2QiOgx34oMtakRXWu+HuCRoXNgoObVjW7BrRvxdd91FH/zgByfz3X777fTLv/zLK2s3MiYXhkccSrMgPH+GUFIjjqHiYA3ZQTx5WSN8kdOgk1lyw9IwLXPRnK1L7KYG2lUrPy00NobyjfaRjQfqj+oDwG8DzaXGAey+8kvQoh1Qs+MdKVkBnTRawAr6qCz8ariJuvyx7fn+rIwG0PgymutIQ+0RcQNf4l7WoLx0UNEc2r4NgE0p1NiK8hsqnWy+vDTYNkszZ+RC2g4UAPbbC2/nvMztF2MubEmYdsIzXwA/Xb6FE44GT5Qf1xG0AwRsJswOKwcyjefRURJEdvyhTFB8R9QZKQfU0nyHsAU0ZlVxC86jZ3bwUf6sYolwtrIxZCBd7aG0KccQz5/ZSYNppa3Ocsjhqh3k0VEQhANuW/I+r2093tkxjtKQzmXyL5/tu+94o2BUkrPQ6FaRHRmrT7RrkYl3Wv01m6adiWgpk9+05/OyAjH/tuUjZzaMfAv4qYZwkwNAHL3K0hL6GGeMRfewjnE/Agit68ZPfULOyjqUaO89svSPZFXFL6H/wbRQRjL8vHID2uBBOCTSAlkV6h9irPy6ua5JlI8utLg0nMKd/hXDrn8nfqehNwQY1yGfU/XrdrQBQeR7vkbm1snsWJf3C8GXYIAUE7hpJ6hrUyUiZQRBdJZHtyeNrWAupwSXpxTbpJBhNDwjugrKefjpNJUH1bUBkI+MBKQYNbwGk2ZxsecOhX4yqu+Uh+Phjx8SGjpNGsuqvaQQNcYWUlQC+od1sXf6Ey3ZXQ0ryNvTfonClmt4AtwDTSMavzj6ZhBPiAuc74DmOpWRTEQOUeC0Dddz31oPbGMBnmO3tcHX6TzloGcHzotcsesZ4TUtB+X6Wjyt87D97j2SZdLYu8xFaUJOB3XZYkNtQ1cfh9P7KMSyx+aHt3MHYxQfFbHl9DoJxyNFC4N9x/K16Cy/7qqvTDhkTZ1L6HXQEhszE5HAx7PTUM/wbZ2W0c8A6mKAvIhAVA45wyJ9M4oQQPpHhmem17qqG9WJos6Q3C3z7PKPLL8K5EzmvLzIrzbRpjZVynggevd26WU9ZYwDuhJ1yjoiPiLb9Nspr/hu+5QdI+sGiIK0zJqY6+xdFew9I54TUH22RWMZKEtb/pc7244WJ2vXYdSZW4NFuYRS1k1kQnmRhgcC+1kxlIevjDwOOEzP7zPP44VMFVt3ZC8HVg7l99qDjCnAE3lWzaUbZVUO/JK3RQEU9MCjFrYc7yeK/qh4oakJhGioWEZzwn6XiAtb51AvPTFplb6s0aqdWET27JaHZ6wI4WgOr1+6TvONWVYgddyFMQt7UZdtT4wjlc12LAylExDhEAhrRNvlqRSBob5vBVC7odBVeEtcAtyhQM7zMgjJ9nT2SMGeUjTa2Eo8Ud4wiiMjZ6BCBSqriRxPHf2B2onoPpobybB43h4ZFx2r4fWGXQaJIxH9zc+/Q8qZGQbZoi4pdxEtZM+Oa6chRAHIApvFJuqbrmG5iO4j+giMz6jPfAPD4uui6azrruxGp+QAaXRQaWCi9XqMdA2Uj8872nn2ytlWYGKFepwBjDGOSil0GdFOIHt4/eDyOl1eGug6isNFQZbTaeqJ03waj8ohHEKHTFAOX2w3Pe5TssBG8Qa4aP0jOB5GFMtiTfdYx86t3mgjSuOXcggAWbxO2HNGPAe0gLsmFBBCvKgtwem6gJgMz5/6N9fzBRIxEeZFNn0o4e0TO29AqdLZathRYBDw8Lm5pB9GGCjGzseI71yUHWQN0W25+ix4wYGnQTxDjQqFS/tMlZ/n1+3AVhKCpBrOnJ54X12nV8HFfsYM0X90mVYcagyQN3lQxIBZMaGzDF4e4xhUoh0wfhq/qBxyRumC6Ew8GuNISY2EE5y3+rRr37RLYMfbNhempYQnWSUV1SlvQ5a8IA4jDNYLoB3Nb0I6pvgrBLY9rRABXAJ8YZ3K2OP1YiVrEE9ZF6q/lPPTEI219myeyGmQikRJrN1sfiKiz77z0vp7c2MwTtWe403yD8t/wt2ySE6EMnwJwovqohw1l8oUKuggX3jcYgk6PHYKHX2kQOaxazfOL58iDckz7TVX7doURdcDzgORgkm5PhjHbLTAycoDJP8S6E3oJtNrSeotrb1Qx3QiNES4tOHttriRn6APEPfEeEge4cvgSDfZRNE6qj+hHAxonAg4bqI1wcY2cydSJItbnum06KhahCdKI0IRh+uHPWfET509tPlLnmbQIqIy+YM0/vmTKNSkpMOFS0thFS4oHyCjBmkeQ0J1ZULmeVuaUSChHePnzyWB8pJRjObdog++Idx7bi0aMw6us2Gi/poW5Ik/2TSIp6wrYFqIwQfKfqsb0IBSbArNeeF32sGCjqHwufRwguusI780kgOewo06RWuZc9uoTXg7PcCr3S+B25j+XKOlex3lEN50zQyPEl1R5wYUjM4XZs7vyfzyKfO339q5kKEZsV40D1sBH0Z46vrn8oNoTmOlM8gP8sXGFqtLeSl7d3QRfrbcBAO2lbl1Wk6J2ls8920M9JdPbMG0DI8h6udhsWMx4jcot+ZXsq0Il6m6IRjjyeeBGIdF4qH9m3TBOYfg7mMEU7wikxYZd5FhhPScAvWzw6gccgzoNNhekEYBzUV0H6Rx3Mu8Pb5cG0JHUY1GnwmDOASDnJF1CORFvjrNx6XnklREJ1mIZc/0mkc58KYFjrAT7XWMB4q2FHXVNEsDep0h0sjIhIGI6tdDlE0g85c+MPyd6A9Ubp3W/J4z4pFRo40EDnzsI+Wl5lfMETNJm4YMqnYZEWbU0iHrE164QMgKB838FxdSDTJt4Ap9aSfUsgze3i7PwnEh20P4TV3YYm97bnlG0kxkmlH3C0O/fEhDLI/eaUIX+xjFXBjAPn54Z0vhFcztlOLQLoyTAmHxtzTGxTozIX9AqdCGIi8vs1RcRHGF95R6gASKQgWCPM8v5ysbAuyH8C0IGTkUZF8jGgVja9qx0I582DQj3NR7kTeLS6CgZJWQVpdPy6iuMLRZ7cphHiGfIk095ZqwBXqiP9CaKNDjcOV1onzIKZIxfiCNKrrnhmkYWRCMMdpJU8VCPLvTqnzyoyv4ex1thfJL/ugrmxoHIhStAPID545JM+9xewibiovTVygbJ9a8xxdfed9V9P2veBpsKOLz0PAO89t3vWHSc9pBBl/3rfElDVgAs+k+SGvh6wuD6Zff+iDdffV5y3KDyafrRPQB9SoqaZaes7fT68lA/bJH23yeGcldBDJNOZnh16GCuhTvk2l+uZR8iYi25HV+E5HQXSqfGwbLrwJ9IEIh4zyEfehc9OnNmD6fYhp27Xb63QK0PGLlUaaNE/kjCD/NpQi2VM3D8dAiMMoqwjNiMIMVrEhJjRdUUVpsWgFzSRNKG/i7qD2/HdQHk7b8JS7AYYLBGMdqviXuEZ6BYsS0Tus0sMIm3vlkuDsX7BAFO/4JJomOZ3TPTWQAhwJZlhH90AI3Kax6z+H1n2GTTwS9OOi6iXxFtqSKiJdBpwIhCtqJlNVV9MG2NzDsFX4BLiIJKV7VGPcr0+eueT3hnCbmu/tYjaFtW07jxnNmeGAaF1RHos9ReZiW4u2In/r1xO35qfDSTMCnPGSeec0p2hpH+t9+60/cc5riz8SagGmsYGbN4jQXhXDtmUwoqVMmVPplb9BdMl7asYP76NjBfc7u3LIMPCMs60P4SbrK8mhfJqN2DC27rcRzOpcnRWnRufcWMQCctWN7DgPR5ecdMeUwDj5kZUFOh43amZ7nqTm1ieURrGtOEyC/duiiPrfPLto5yV02jXitTJP8cajPvmgdv50Qv4xMpgFE+bTfmRD4IZG2qKs5q7z8q4Y9txM/FeYU7RJHgsTUNZHmhUzlzyhJJRxBRsmaPm88yt1UUEeEe8sj65fGRXm/FAIizNf2IVxQzNi1RitL044LxpiawEnsYNT++fPGoSzudscA6kPDyTO8PRy2FO7hZVU01HK6rpCOnacuPyrRoYWMd85ez5xYN2reMt8ynzKQCi7hPIfCIqJ7PrZqDYVCrVUdOfy8EMOsAYfWl8U3EqY+6K8KDGAssnUa/AD/xsltUo0hxcbODY0D0SJRmHV3RJTifTyPjLrRUQuqL6BOMAogD2/PvkO4mPbIzmvvp7mitPIKlktFQvgLu5ECcBjNVMFKnbdddoJe+9xrxbuQFoCCHvOkrLz1x0bjnDVw9LvZhliAS/auhZYmUx/fGmm/2ro8uH/DzY/of/ZnBhNrXaSBOlpEWTC2oM7IKGn6hy8b53+WzE2qfdkabf3hKkvKJRN9F80NzzvK8UA4xzJumu67xzgyaAebJ7Y5pnkmguhTpNGApHgMLfhttBnD83fLhFplZt2gtL5y2e/Rrwv2oBG/eCJva3xRBlE1aJ06iSbCOEF+XQfQHW0eIaDLuz5qyYSuth2xKYYkn1F7pT6ZZuvO7PZm7jDw2rFnYXmaV85nkhGvg/MWCN9wPAJlH3+mMC90YWhzVC4c/+n2eD6e5oXTt3SkcPvtQWGv8vLIlTjsLqeAobfR0Qhb2ioqEQ41bdBj5a+lkXnSeo3P6JM8OTx93PG8W2LtPdPn1IT5t8iv8ILr2UcmPs5g6/Lw5ACVzhpmbevUSm50uZyoMwiP1+3AC7cC/s3xKqCdveHcAH6axV2PFQSYaOl+qpg8HhY0B8ZM0zGS/br8Iq1vPeva8Gcr832W7XbyAVAplPkTO6xPbI3m7o0Dm03lbd+Zl1IBy2mEO8of8W1cXteRcdwb+g0mAPHC0MgN+Fy0riP9r26M0Gh4l7xjxE+ziFpcQn7asWazOGj64DlNVBfFR2cQLilnXqDLz3WmRscU44u2p+vEabZK9E47ttBYNVxsuQwu6IJjTxedqmtCwqwE9nQ4vX43DEARRcpgylBHQrQxeM/A1ItgiykA4W2o7F39PndkYCaJMhN90LMTHyrvBXcHF/0uaxSSesd3dLVyy1/quQ+/Ixs02N0HYBjpZtDFby0RpAEIb5cOhXVAV4p20OVpw9B2Fo0QDHAh2obH3dQ5wLwy/1BbjJxKG4h4VFomBFiW82qcUPhqHhu1kFGYeX3IOac/KTX32Et0nrFG5HBDIppnMR6+4VbbZp9wJJJrCV2up8NhIQ7qifCD89ax9jCN+oDmPTLIjDMblsMOZq9tcfZ7+YwuipofuhqkqScqOLU+MyGXrUqZyvncKkOH9TvkRFm0ryPKbJ97z49OhcoiR6tIr+366yy9lhyC/ObPvpWOH5Iq7mXnHqHv/sI76bf/6L+5dfM6sxFDqYg5TRcM8cxt2zpaiP+OLttElWp9DvMI3rZsR97p4O9Z66hGfoRR44IAjXFGFmBnrC2fqVMfIZBjBeoE8+ThmS0X6UcR0eC11yMjbbuIn6aiVgGPQBuoqeMPtc4yz748k20C5CfwnEozOmyyrlXBHtyJB0wrIjz2e0EAI5usQAEDdcWfyJF4TRHCSKNaBBYnxGA8fOVL3o6qi5XTC7cxOxammlGAwbhEwjoa42Y4++3AYoGjhHEyhova9fJLTYTMT6V1CATxDvTHeCp9mjN1IyVhQjkIjc9yHgSk1XdK2Sw0Jw1Nu55rWrkQ0iY5At03T3QdaH1i5WpZt3t0wGkvHOM2LpPKdNCneisreXMvqRuvT78TiO4bPwl454SeYpX2aZ4u5gs6KaUyMJAtqBUHjHvA56Azb7rOiutEXQW04wieDUbrZa7yAmVqyGznJIWAdr0YMl3thXeZBDQa1ZlABX6xodXJaBa8i3BARnuta8TyGd0Xg1rLGLscp8ynJsM1wdtm/AvBHZefpGtPHxPvDuzboBc99RLil/VqA1W017smAtzTt/STnj8Jcj1bGRfdsdNKgXIZ4y45Hh7v2tqyn/9LGWmAD+OIuWBNVDqWvH663Mw01S6Hrh1rJIPI0i3mZW4zYTTXZkpfj9dnD8R8uOQZzJiWJ+crzUHo16+PqvFnhCHaXImcBXPHowf2nBGPPIlNYcspZ7GyOb3g+eVpGq+YSdrFmjMGObPD3m40Hkgpi5V2O0bob/sFAMVURzuOcFwjJhIJrsH3nA9sbvS58vBzWgF6yBFh0WRjB4wSvWuO5gZ+2SCgVR02JIwEZdRkz4yiXShUTiui0U7f3JtSIyEaGe/R2Uio9PjoSb6hcmbPxbnHQmA5jp98hy8q0ussrrOVs2l2zfO+T9fZHGkIh4g3+3XJHXUHGQp2QYSjyVeWCuBvrCd4BKir9zhCtKtklB+dwBIFjSeUkawMQU1qQMqVQi9UTCP8Igd+VG7qXQWwU2fLB3Ma1Q3WcCRj4Q530BAMIdXPUPa7Sf3zFchb7ZiFEWkJiC69k7jYt/prFQjgGor4Y8iTpvnAKp1K0XxH7SHdukD5JvlIQOYE5brXZ8UvkHUB/XPo0aFQpVpepPmOluHAoYZwQDpN5MDRZ7mlKBhEXtmeLwcjvSq8XymiQ6AbwkiLYH1ZXUjm4W3031fQwOqu0zrDdmHPGfFwESjBIAhDDf/U+TZsuNlwNu3BRheQjbS4nR7hVdIjZRUzD5+x6Dwc9wKRgp31+Nry7TlSYfQWF91eOP5B2gaw4nkf3CMVkFGzOhVshOWm6xTvEmnRt3452G8z97VXlX0tbHQ5TeOqIek0iPBrYzWSnNt4x8+uDd1eSeFrKRLIQTPy3fKJPzHnlyvAmb93sR3EBfArrxy/3yMzRjJNrsEppdjzcsuoilKulcwYud18QD9ZptQN3pAH2rQIh4aLbA/NF6onw28yyoXExW8P05w/VtgoKWk53ueNG+pfxlES1SXfyXLd91JEadPsyqlz+h08FhL0T75bvO3+trrPMm0eBsZpBtbN1MV2PXdwRHjNXrsJPhA5cUW5DtwjA3oq/9R9M179Na3QSdIJUuDOy0/SL7/1wYU+qzLGF2oGuCTlbga/zG47OkJgdotZPTgSzXfMoB1kg0vvfAU4bCrckSwW5VK7ywEfNnhYPJGtghqs88wQ9Y4PRuOThYxOPiV7enlrFvaeEV+eQFmYmmztzem9xAHtsHqXXUGBoqpEIW+iPWXELJwH1qFg8bSQO68DCipcEGS/ox45J1pdg3hCXMBvXqcOk4na2/alVbAPrf0to6ig/H6fMwI5UtpD76lfdQXPu+4djRDjr3Dh9RmGDbAxdCXWfE7p0e+idRZVhs+UJdbE4Btgi7RpA99rZSQ8962cxV3XGV4CqMoNQRoxXKDQTvIWbSgiaJ9CQmkFBTswEc+seQjh4uMUjn9SMSdSnyId8JO3028IWPrV5WQ707SN0/pkquYVCMeMswe2F8pUiCCEkTviQR4UlmmjOAZTIOuc8NYE4vdOZSa/qVulZo1XVGt8X4z8gfSkXoiOBIR8P6gTRw76+fH32n269arO71oGdDxzvURrd9/mBl1+3hEaR5tv37LzES44ZRDPRR32Xc8RDgTzv1AwqGeuvbDPgg3oiBBEvzmeTlTsicW7KEJvtsPUsrAKSI8I1AGrNwK6j+cUyJKE7oD6EPK+mTypB/acEQ8ZDVj4LX/7Xc7j5r4N7jZD5bwwUnrKK2T8hLsnNnuoIIa3N9dyvoDtBXYp7GK3fZy4WyAhyEU5xwsny7U62820qs6hOTq8M/8QlwRDm1KakDKn86Nzk8j4QXSovcA62kGGvk8L8qmLFr2d50bj3PDw12A8p0EaUvodZ9Tg/LbvfPwkXnKM0afgeg0I3d5A1qkRAQ4vy6wzC9Gt2ZkdBZw2TXODzOrn1+WSgjW+1V7OKZFVpKJyMZ6+EoPAriVE08H67Ob7DbzQRC/qw0ZzTcsQfiGmCUfupFXIazNjnJR1tX+OcS2cZaGTwrYbfXGAIpoL59nygVZjgF/HehZznuRzuUunpsdvLiBcMuMhZUfEByx4hsACh2mmjvihyZOQJSj/XP02gtPHD4pvxBMRHTu4uHwQ67zsD+Mk9vPHuLeJg0cdVDuZz/HFOgPCxc8T6zTT+Xk5fSkfB7NmaWRHRxN0H4wHarM5xnNrOOKZsRMK4RJsdiQ2ylCdsC6Ttl2uNA177nZ6qACU54QwLKG8cGISF53pncEodLLmG30lUFzsEhn4nQy3Kk9orypQ9PC3NkeRFp5RHRah7JPf7A76kCpHg1F6pfHp1dkYhzZU8G6l7XOB2cwfvovqsmn1rBe4+M0a+PI9rxMRu6FRcKFbTRPtAtzVohjIMuP4EyoWdwTqjj3p7NEWC4A4WsFnOHM/x8LB0mowxvp3EGrP80MDPQjXjeos0Pvt19kGKcddKeZorZu2J3i0TkPQi6dOyzh0F7JJKjZR+SmHtcUlOc8B/1VZFrhpHMrZWSeCx6sbG0Eyf8OT8bLeOQFt5xKns3Qf2cmxCNM2HL+orpRBG/FhSZcYJ7S+I76KI2nmQMTi48vopmWPyJ2c35Gfc2JpqL/RUcYIIh1qu19Q4Bcua/iKB641a3vf5kB/8N7PoL/9qx8z9WedNp5jEeEH60owrOgIAdTxNmQekdYzxoIWcuukFfX5Iv4SVqnTrTJes/rJ9cZO+ZLR5fkvT2+H7flJIZ+K7kuqSAy5aIBVwZ4z4rOfaTN5qCgX8Y5arAAwYeZ4+9DFPl6dk85ubShyPGsWvshKflkb0NEgRBdleJeZoDRZJx8zuZOMGE5qBx8w5fCzR4FmGhpbMwUKMTz151vQjl2447mckzB0WNSpds8B3UfrZSNwhQ+gX5rm0PiL0PJR4pthxnj8AzphvzUz5k6N1PiDMbb3YPi4IxA7CgkvcnT+zsyzwF3yJHnp1fT4RfOUUbYEHYRjPJgslt/g317biKe0PH4FKARWKzYiP4H8ak5gO+pv7viMIZo3mxYpI+EqTPI3DXItSWdralc04DsYlem5jNrj/AjJIw02TDXJywKFWeO0+M14elBvVD+H733ZXaBfDPdpMYjTJgx1L7+UjX5dHiBDE93FQYr2JI/h9aly3LgIoj50X6N1CfE0rVmIdw+j8Z/mqxGeRCCUfRhMHzeGoV585+HSm4j5uC3WIl1ARoYfrxfSiaizVAP4aSrKitMO3kGe7lfB3W8HOawjvahuyG34ebJ8wOrYoB2FC+JvvfcHuNE+gbxHdcp+zpMhq4I9F04fKVL4RlfAjCOFQdWJtLmNYZC76KxOreCoJeziHjkPIABlM3VePsHEscEox1GG00vYAooRQL3fs1fHyn7+TOcRdbB5AwXctPIGfpYigWf6tlbLi01d+jcvOPfymIj+iaYN7ujSNZ4fGZHWweWPI4JYiNp3vZ9xGQK6iMq1NNln6ETJCNFgJ5l/ZimsK0iTxoxsUgpmVd5WOaHIBhDRKORhflXRTnDNE9ECehfQaNTpHv42kl3HMZ34uKD1nXF8yKqiMZqWIQW2xnazNRpHfYN0VGeGd3pJntOLQAjqvo0NuuPyk7jOxDhOOzdkexVH4ZQuePr1Z3WFYRjosdsvjvOwvPqdh6OXJ+tg7UkjIrr54nPCdGxsRfx7mrfzHDhS0bY9BShCMjwiAfQPlBa903iKS95AOV7FbZeesBUyyH19Jiff0flwe7+ExTHNB7xQ+6mCCl+7FlsauuA1QjMjXzLzvDU2XmYcXOzP8NOxCVrL6lA1Dc1lxcXnN+ieCV1nlv5n3wPgJ60M9p4RHwnIhJCf2hzShp9sxycET9lHyvvivd6J9wk9DnVzk9L5oaeMpKHcu4CHILFNV45pWeeE3blCn/jLfAs++jQgvJSoJYLaSp2ojoIDEAQBs8/tEtv2Sg2h0ECVMqEWHUswzgz2tJ8gbOVH1S7cZTbONotmr3GdFTJeOWyET9MAVNjYb3tpD6CFiE6MomEhpvuo7wntDLaH8OT8DUfkwOqFUgF2XWqdJrstp9rD4a3gZZDWIXoE2DPIHD/5RDgIGqqGcG5NaLmS5elth8W27QGKMOD8QL/FPAnh4iaFxq5+t7h4VPLozY2BfvL1zxKNRWPV0AyZDKtOyrOoLkij0MCReS445yCdPLI/wFbVCficTuMQKf1NdtmC4ZG9CWXmn33N/WH6KhX07JpAJco4ZO4IKAC7rsKmp5zu9V0gN2OehGnuH33Vs4NSDl4p+SKfHMG5uGfSuMzN6BjYsO3QP4Qj3l8TUi+SaQjg14ISfCrEnSytjSG3teW8SEyRPxj3SJ6hcpmLDxsu0fjb+c7oetuFs+H05C34QEFJeHEipWygxqCNwaHKjGQVgEipgLhEyiP3ZEVGZy3XR4wlvxcuRZQ7HyQZtT/IbYx9gdXLFFJn+uamgTwcl+gTf5mQqZBZKeazqFM5PKK1IXBRDo+gHMcHM1X5DrVTQAsw7JAgkcfWqdIC2smG60bMW889guj4SY/xhBQOosU48n7Hl8ckhWFC+FIVsAU/1B57p54CB4C7pyTxv7oiTxAucL7BWlIl8XwlZEnQXm2LRTbp8t2XpE60Z51zfl0SR5k/MvTHZfoTW2O82xXgrHHBStb2ZN04jjQsCcp1xDMcmpGR4yMRLlH+7OdGvbre+9m30b7NgX7glz9q8gzUF8ree29GqEMBOTEHppwbBXqdvZrGZf0+8AvIvHUc4dnrbEDRpzptLr+awmcujOqJmshEzEFdA7UHHFxTcxHJmez4ZNdL6HhWDpzUxXZiJz7AL+BhAhkdddPJrzYCRtCSfLnU45iRdedkY2b8kcN01XB2J576mBY6R02UDJMOtCRPYZYhx77iFjHqLENr5VgbTjkagCMCtIN2DUZlTuq16hl3CD8NqVv3BxtOn9q9SjITm9bazdSJGG9AOrECFQi1iGFv8InWbSTGgwgpeuypI0mieYuEmqp76p4IE6Wy/CUwDcejD/jcm1DSDgWRj2UcOhzgoN4XQ2mqXHRDcM0bjFm0ezAFmXDTkL/BtGit6oEHeRIKDnzXTeNKQbRLsNG9zY7xC/BE4Yc953lFWmD0R/TLZcpARG959Ea6//rzBc6RTEA8PjYwfRDF1NlZPu7ROGhovL1Po+vn+z5OGfo99+gBOn5ov0oDvLKk+VWKteXJXfRuytDJhLxHUPWN0eooNU/nWtd1EzFH6uDnwZspi783xCKXYByFM/sgsgT5o9vO23j65aegRSFMVwKjs5Z/Iz0ws2OK21F/swGCPFPlQ4ac1q9UA7IuwPcRfog/RqHv+GI7i7PGXaeg+61indICosOMioD6jHRJHd1i5zS7geXjwNsp0BvpPAf23E58fG4ECRQJ4ub0QLD2TnYoBDN5EsqjrDOHp4dLBgf+53wjyCqDGQUFt9YWt7trCMljWOYB4xjSgv5h6/SxLEUHlebjMFWXBmRkeVEf0oj0GT0XAj07dsKI0tEpbH3WOgPFq+IZnYnqHbOQ5vxx4DjwfhDhqApdHrUZKRXdBmag/MVn83waaHkWAENsg/zp848JYTsVRRBFuui2M7tsYb+itGD8C3gO5JJmdoUy4yPak2+RYoRglcaPppSX33MlL7n8P5pTv1LkrPSUOV5/5pz9ZecepgObmxy9EHpl+Ny6eCo6Tqbby9zDguTSdh0lBOZGt8EhCqfvhcA2bnnQy4APFKg3k7Msvbe+ZyLtWt2yjKg7uXbtMcz5dQ0BPh4s7miREJ15xgacfedW4LRjiyGaS5RTTFasH5A/N/4YQw/PUD8qa1jIFVxuGJJ99psTaXbNRvw70D9AMRsVOk9ei3fLl+jITuS4yMiE7cLeM+KDd3zxwB3kxBlpxES0962Vb5m8MKCpXWmq5XxCjcLHpwzM8mvUL1BdyYU4KGz1+RkZ5uvXlQ3zNWkAv7lKJzoDZNLYu+i8Ngo3Ned/kwKh4T64f+u60EVz4XpJChnPgyuiMbjSqd5FN42H3vWA0UejFnn40bhExjjaeasCocMwkhdGZUXlEh9n/OSnHNFa8scv5ElOjCJSthCIOyGC9jQfRTsCAq1E+BsN6m8AOf7P11liHGFdkg7R2i14Ht6/Sfv0BXBZGndwEu9gHQqX1InPODXagTNrAsipXodCDP5AlDq/+cW3EhHRD/3qRyfW5QLi88mW7+hyIn+n4wJBxgDODF8b/yTxBEk9clrn+ej7Xug31oFDay9Yu2GdaH6jdvy8ES/T+gHGhReU7WUcYpDnBjLVO8I1BSMLa0H6TsYfEB51DXCK0MSO3elyuO+LXkQbDPGG18D+nwGfdkq/tpZ/H9q/ER9HKM9gfYp2zPFN+URpi3Kl/um+9l48GeotQbnWHmg3WLtzo4R6YM+F00fCMKMAjFEiTRkOrB5nB0gbdW74/qhC+QSz0553X6BMCUo/7NxfpAjkDe1x36VxB/AL04ZlnYEQVeOIasOCy2cKkaMkxAVAdI6p9yylNjCj77ajOnsv5OD0aMPHUTtKWCfWIGpQGzVT5TJjJphxyNhzWkHP2VC70zpxTsCpR61QkN/yKy/iBRvQBb/pPsB2Ae7bVYDRO2RUo9rxrovkpxklC72ZG00AW1GJ3/WFd9IX33tlmGeq3bm77eEOECgYRXhU4yRQ2RGtZm4inqrLS5tS+CL9gWi5dgvtAEFRlWrwXWnr9B1CZxTHy7wzP3h++cR1gnfLZ3RMoFfRLjB1f9EwtPn/wS9++mR9HKKoFq89m9bmvd3l4E+OOQ7Jfs/FoeYBeb0LOWFBVnYAiZpGp/EZxNOD//U193joLNoL6Di82yjhnAgbpjZ+0YWJVs7wKtW4cxmU5Ek5HcpPi87ll7Ett9L/vdfeR48+5aKC4KL9QtdjPLa6TpQjNfzBuhHlE/wKHiWIdiODFK0PZx3WnerzLNh7O/FggYTfa44UlKD+qZ2tqd0PGE6r6o7Oy/N8wsB3doKTNkLXeVwkpLihnh0rXXuvwafvG6gCT+CncB/ZmA44D6oz7oPFc4q+Ipx1HgQbwWDpkL9hoOap1wLIwc9tD5XTL4RgYK+ds/SLtFrUxS8DSOlpab7iMEVzGUN2CNJayJptR5fPpnm4CydgVFfvIIM5detGaSEy9s8sH/DTcjtHUQj2bFwCZTdSEDU/vfGi4yZf7/gj55VuL+9tCPgAqyOMeHDWEiaPjnEE5Tgu0fhF6yW+2G5Y5oFZDC71XYRLkkd4jvheEA78sRitCVxQGrB1I75fwAutffiWC30EYPMtCik8Jmfetzfdd5PMFFaZC7riPH7dcvyX78KlHq1r+fczrzmPTh8/6DdORM9e3neRqVPTHBplJLM8XUHq2Pnxk5EG0+X6o1MiPpd754W+I+fVOI60uTHQbZedMGkQv4g+Ovlb1B5qR/Oy+ZfXsTqXitBcXmYjN4fmQGP51nWx3Z4z4vu9d+oFNHbRL9BOfdpLrqgu3OXCAjsR3YIhVACmlZ5hWJRFRmUIgFhne7sho5YKLK5TLyyLi3AkIINqWU4LSnmpjl9eK3xCeVRKuFQsLQ6tHEsD+XWZHgNCNFUUHOB576G5iHayYXc9jBoZOhDNpEald/oQPaJw+qGmlXlmjB0JJ0NP6j3LHBlBvWdTES6DSowiDVAf9JlRFLrdozi7OIC06Nx6yw/edbSddlRllGLEHHRaqS4ZZZLJg3aXwigEgESvsyvjoALNmLohDOGfS5wS8n0yvy979m1Odyz6SkukrPYaVJBfKTqM7t2QbU/LW51X4tna9XYWkfzL2j5zz8RrHESddYMnx3c06KjJxTtdfgIHVdcm8LJFvCWqO9JbwkijYKwG9fff/bJ7/XoAoFmM6XK6wNR9MRnHbIRFZt0g0E7YQaT5dWbulsrekVN4BL/QrtUxjQNfyyg6yPDwThqNikU8ogBag2a8B3R3E2pvEHV2884gz3Zhz4XTEyDwXs90eO4mYKrhBQiqfIGFoWmV4UVaHNIREpfTni7ZQ+D6zKZgTIzS3EvlShoPzQ0Xd6BkgfxxxIXfXJg2yLpRWkYZEVELSMGu7SSFbm07EiTT+CFvtT7XiRQwBNl2IpVM1zHX+I+FlM2XOYeOFaLFc0QeElSTt9bFxYJTmOByGvjdEwinXISSz9Nw32WdUHFjTjadH5XJrC9Bo9Bhp9v2ce5V3HJn+9A7zk+1kpWRWTn6RyHbpnSS5jIRMhHul517mH79nQ+J3etaTjHijBK/yDdPhYpLydTfeOfDdOflJyfrjJyOWbrKXHiW1Wl6oktinjnN02BaSKO+HCTS/Ksf9LqM5Dss3502PUaj+puXevZ159O/+vqH/UYn6kbQe947O89zlhyPfqw48PVheGB5Wh0lwh05lbP6gMYlEwEBeW3QHk9MbeIEdkXIb6oxPpqyepOPX5wazm2HbiJlMvsjcYQA1umMFRr/+c459K4v/6phz+3EayHA32GjXCnTPA0JGaXQI0LNCAvkTdPlphZWHM7tM7terxhK8y74wuUlw5iqM2Mchw4WULfecUbMLmSSofKOlJHc6p5/yYzMQ4SMH1B3sJOZugQpQXO1PrCzyM98FtAe1WwYnCeYdJoxMgPaCdNAW3K+5DtJY5MomHpgWkT3iEaj+QIKUc89GL0OlsylRA0PP82rv0XWtPbKPnNml3juLn9kdHpOG5Sf/93zPd8obWB976a5zvk1eDnjccHxQzKfwgFGXvioQH6vzwuHeIK6NEyFDes658rdAb2MChAfo0gG5wGFnWrcPQdcSx9NWi0zQR9enbMhHHc5ZvJOmely4l1STutspdzGxkDnH5N0Fm0Mwd1Rc0tK77rmdUn89Ps54MrsIXZI23piXVK3Fd1VkXHs4nJ+++Ga6HVsBWkR8IvtEK5veuQGhlssjyL8Wn7Lt3U5vMPt6y0RLhGEfUG6IZOXUV180xXhuQ7Yczvxvbe8RsIWFlNCGimbofGpEyZCKDUu0MgLFn720jV7c3oztoxABhX0hNPzT41AYyhRF56aweCiFRz+PjqXr99k6QSdldEwdaFPq6u07deGnCda+DYFhbWn8wDGJOrsUKbly0ZPFk8Vfg7ai87xQjqWzULB2h+Z05eK1qUXhg9rBIwko1CFNBqkRRf7RGDvouA0FJQL6grbEe+i+qfnRN+9INtrvzPhwbl2UTuWJ+mCmVv0YRpfz057vP7YIYDqsnUgJbwnFDqjD0V0jP6Ox6j9zkR/eJC9FKopDzkdpfeMaVTXFBfTWXqU6G6ZsITeC2F7QMq6vG7iIeNFFw5kd3vl2rDODIvDdK9T8y0YpMWlJQV8m/FHpDesCnI75EB+Ij0pUVncTlRumkAQL5x9AVzAu1C56JOMBffzjx+kWy85Yer66oeuTzkuoNwd+OeAZb4px9GcjQJEg1xv8ZxX3ZwQyASoZybk5qpg7+3E89+BwqXzFJgKa0WMutXVx2gXkeWjS/xeVIB3FoWfyzUIC9znCbVsGIpGTzBjUydqp+DiKza9l4nwMaq4FAFb2wPFlu8ihSPaZYtCsBFkDXydhsL0NgDN6b7ykCudJ2ovsxMx8vaiOnUqUEZszVgJceukmPFmLjBEKIYKQHKsMpcbtnajNYHyyzZgGmpHkQ66nb5bfoE1kdl5ixTRXH7gvQqgR14QxbtlyNGH2tGfmEudjYz4OK+71umXH9pL8653nuOorGnIylazAx2MP6qrdzfVAy7DM/wApm0jv+fgy4pIpH+YMN8VGMIdSds2HPnOYo+8lWuC8ylVMEmjqB3etY+9/zGYP75fRQ7O3Av4pmjOO/K1tTWGdz94gA1GPC4ClzQdz6NRdA46V062m3YeJuom8tc1US4aoMBnPfUS+qynXqLyRbLDH4/eu68iQ1jTIcYJ8P2Ki203krdRpF3j34gGcnJ2XbD3jHjB7OS73tCH3jDpSGn38vI/EAFGCz7DjHPLYiq/esu4LdrBL3kylz6I+Qp2ZnX+XhlSsiPPuDbUoYEFhGhWGOo83aHGAf0O6vc4cqeQrJsot7sfGh6hYM0xeO8ThChtrmDuVoBruT6BHH7SsrZhlZfey4U8gEcWhPJp16CJVgjHMRr/aaV1iv8YRxp0UqC247+9/MbpBfNOKziLOvSOwrx1jWDqfpUffc3d8D1y5kX4mbSk9cTpt3cuSjs6W8RPWx7UryD/XCtyBvzoa+6OL7YLymYN7gIZxxGRXetR5EmPsSDf8bXu7IiB8lMK8xyHioafeO29dPvyVu5YtgZpgeOUQ8aYlrzPz59pL5OWNYBrGtBz6t/L51c/dD39xV8+EdSCge/ubym+D3EJZEHWcLMlQUpdG2PFM4NTeCQx4InhZyg7jWR8rGzx3Io70tUOOh6j68qG2muQERd4lz7qO7qAj8NCJ25B6THNgXcz9aNVwZ4z4vHtgjllcyQlggRDk6/i75QvH8AQMOGcwSYR2v1CEH++Iaf0pM6DLpO2wEUZ+JuNmVAy/12o2IBEtPNs0jAWXjE230E5ON9BnQmlE+0I4AvEkCBJtAOGSntgs8qLrhOmBXXEjNqvTScNhOnYGq1WsQwvLwlu8IfKhFtTTuGYfSYezVeopFrVMro+wEtDdMm/EKHzZwzawU3zlb/cpTbTEJ5Ht0MWKug9hgCSF0gp2RwGuv/60/Sx//w/AIIWl+gdaru9s+sEgXfkAKXV90SGd2V2POIpsXSccZTwWnuP2vC27r/+dJgvc9nSMHCF2cqCmj+QjXPVSk5z2tDopZ0wLXIM8Gzb3I0fiOjuq8+L86Tow+KEcY+YWIiGC+2IIHtn1k3La+9HQLSDdAYZgo2g1H3JycMp3BGUth9/YlHZ3K8aIbyi7NlojIFkFAdszwkHF/pH6HThdam0hGzk7zadA9M3XXSc9m9u0G2XnoDp9pPL/mLDdoxvcMM6WJ5WLCdfKo4BXqa9zrR6keGGzRPyPoHfNhmWA3vuTLz2qvF3UMmCdUgjIauoZy6T08TBQ45j71inYp8wBHoVvQLjaHcCBH6iUxO7BoFyGwmguUpqCx+3aeKGfdOer0j1OiIwgkscQH5kRNY0PezA+PeYsIbQ21rKAT0lcw9AZhdQelSlIqsx5Wm9zp7YEEZ1+biHnzlhylVfnW5St+c3F2pv0yLDrED2c1oa5C5uRJEk0oQCYLLzOnNtu60BerSt8Px+u6EMMYqULQ9xAOU9HUw4qpJ8xIOsURUeeQrLkVvO8B0wnlGdsB2U1ocyEeWd7UjZj9rtD5MO1mNQTsPBfRt04vD+7rpXmjZjHjhkaXX+p3ET+cUGTb5DPCcyKur31BOOqqxRiNLsnK/GSDl19ED9XGMkIxFofUzyN1tHrEeUOln+8g6kmXIBnr3HaozOMLEAzKV8Sp/96Tc8hw7s26B/9FXPdnCwem1KEgP9D/3OGdzTm1Je/Yu/I91mOg1BaHMEcmm7/CqCPWfEb/eylCnmHyuIJU8w2bwtlWZxH6nXMaDT8Ln+QbTv4ekpGlvj6DKpigswkqP8vL2VGselXMIQC0N5AwU9e46mGLu9ikN4V0KGPmCaEqLC+Cc/LcB9VQqRUGIS622qvcTl9LHQni0kppk+XoN9CjOi0dROcMqgncwC64k+24M6EX7ubrC/M7QmjH5QF1HMA1G+uUdhRF0dyjcWRz6/itpNXboG3vSejZz72R2ryPp51NvO/Ik0P8nAvs2Bntjy0zO7nBCHEPfpPg8gv1ObyPNF915plP+Yji0uMCLKaPY+7isBp7LB+e3li85yD4P92gqC+jnORLsSB1+W2DwcP1sq0zZe16vdYfznb36AXnLnpW464o+pL+cEf/f3ueAwCJxkmqwb3/WSVChqynSacFwU/Fi+DD3u3yzlEG3Lp8bCgCIsVC4+Xsd5xCies+/vKusNjEX/XWd+O5lNge3C2XB66lcK0KI09UNBad950IiMRQyw9HEcBQHO/e7hFA9ZnFNqLzKh+VujzQebAYxM3wo912CB57zDxaZxA+0E9IF2D+GcqAiP7GUpUHQmQvdytBYJ+SKkxtAY0Xhm+TvCwTtLLIW2wlPUncHTJmYutpP5faeLposRpEWQdXh0hZB1vjNPQeMlrY+36FC5NJ5Bp7P90oY2PrLU6N2rLCuYM44SbSDJFCurQjxLGlgTunqkGNk8oHzI/8E7kzvm6Q0nUG6ucgv6jqWqX6eOzOsxW97+gpvo0nNliPF2HDqpNZTUHfvOXS9g/+YG7V/G6fboNLDOYG1EDjEBs2xIv9AUr56jTyze+QsMOcl7wm/nO7Mt/5nr2Nr2ZYPLezBOHGlRHhkZjnnM9LupPrfjV7zNGCJ9WujyiTEeaDBRqxGe+G4d2/YUvP7Ba+kAiMOPouLQBpv1yfXJ/AzUtQKNccu/a7mowYCnIZ5kbIeg6nXAnjPiq3EswukTM9qVglOREdQubsLK3AjSkD4VGXIIozAM3O0BBqPgsDPxGa9p7+hjo84PoW79CSVC0N7iGTowgnK9ly1FO/dzb8FHMN9JaIVnpNhk5AdCBQlRr6RsY3pnK+575zhGNYVr1B+Y3lDZuYDksnWQTI8jChnujyiR7UX3gci6rLBudVgDVfJBmb/JBwYJp4GuLwuafyADIjrGotfW/s2Bjh6wYj13LrRP1uns6AgSrEvIvwChifZgnk55th7+KOEzbrvYvOs1eJDBkuZJicYyXY0NHZ9nbgTznZH9izWMc869OIpfojYfOvnbGni64V8wz1w5CPIHb1exH5+RIchp6JVfwHSMQW8Ukk7J6N8c8B1RJc0mZvg3bkfOzUjTc/61j97ktk8T5dObD0HUTc/GRJQx+vwwOsLbqKSP5ngLXc6CFcHeM+KDd92fkIAXWlniiBrXIaRIMfIICCm5/PKS1oaPCmaEPlPOEGVxPKDz1whSXklHCXfL9baTYPCRgIwECiYFWY6Xz5551mXhrpxgMHiHu723+1OoX2G4USi4cjQQXeilu7jdTzYhpRi155sGE+urU+zCewpUFb1HFkxUCxjr3vWSgTikeloxmsIlUs1intLGePJ4FHjXe4dHhFO8zuRLgWtZ84pL/7v3vtC0l472gYplImxR1FHoyVdEM5+Ye2K0n6lC+UPnIfXhbtICGb4q3QzxH6LcLmzuW/Axn8pA5vjDbNkaKu8+3bYomnnW+OLeHgen5NuIJxHgq70Oo8wlcnqWRdi0qnsYLM/M9FXKIn8Vbn8nHmASyP6cUy+XPzZM1Qtg0Mbh9EVeCGwEfln9tts5pAhDR9auGkLcwzRfpkYVZOQ8yp8d40w0QUbPXyfsPSMeKBn2/C/LH9XFDaTE5V1a+cvuNKVwSdKKFzI8AgNOppe0aYG8NY60b2NwQ3hshIBiaHxuQq8YSFN5UBqHdg69/A3KAbrQdYqvGJjoChJ/y3dBg6AdnuIJzawwjOnJKiFRtEMmxFDWpdOmFVIo8AKDChu0tvNeZAjiERC/0HFhmgsNDtSep7x0KwDByzicOwc6rM8oPwBPNC6CT2aiOODclzSffyDQhmOvIxOudT97aPROtfMTr72X/vD/+u9uvuaM9Qcxcp6JfOWHON4F1heIfOiJvCrwmmdfTZ/3tMsUrtMlo/GH8j2xrrfrzIJ1Q4V0WraKd0H9+kJTIrT7JeXRT7z2XnocHN7fUvIM4tfpvOIlPYjWsIAZxuObnn8D/U/zGbSyXuw7BL3fD8/IOD5JU46c/+1199HV5x9122t4+mm9emNU12pu33Z0w8Hq2OEdRZM1q7RwjLbHALr1pEDfjHqB7JFCo/xzcnPvJJnGQPJfq7fkeERP6H90vCbigVk9VcMGwBNHTvjRc6uGPXix3eI5ZbTWtEChjLxiqM6I+US4NCWkj0VFxm5TlINyqBXGYOx325dCUEUPPPXyk6HR1HsBWWb3EI7xoPMO8LcH4Te/K13Z9tYvbKY5EuKLxWBBK2FuOHcWd52vl6l6jgj+t64zbbAEThQESFjouuQm6rQwmzvGISkES2JqrRdwHQoBL0RQopgiIxmdVUfIok+BVYWcK8UTzqs7Lj9J+4Iwk15HlUlbgdORw91Xn0dbwUZktBYwfvPSEqy2G84/dpCuPX3M4PDUy0+GMhLB/PlC+deglc0MlQ3Xc7qytj7uvvo8g8Rjt11MFxw/BBHsp692F0GPMdObloELzzlEV546msgZOMCCUjLNcWry/Mu0cp9Qpn9Pu/Jc2lfuJggdrp2yLsTTTzz/2EF63k0X+IVnAJLZiHZSl9N2OuJLlXDeAgeOZ4PynHPvsBK4qHbQRmJp5qaLz6EvvvfKybYzEB7dCByfGdsIt9eFHiuXW6H6iEG4oTEh60YaVV0sbRU+LgB7zojvNlp766+TLYlEtAMU3zAMX5XvTgveRQtxLg4XnzhEF51zqL7/qdc/KzZOxMvMrqiPA/oWvBdFgC4aQVXHN2eW8jkF3aMF1J6oa5hOQ39HNGarsuMhbSdNo70KQJDmJ5mxnbpoEeWbwmUqKib6/Fa34TygNmVGviNs53eeVItuoMd4bredTuUx4ZwjokCvBvQbtF2ylFI/+fpn1bT9wYSjC89YoosmUq4Q37Fpg1vXof0bdOrYQRdXD8+QJ4E8tc+Dpcsoqo2nFyWT03bv7t1Pvf5ZmJ9HMnwuvwrrWj3wefedZYMrz4iwQzbVtvZULeF7X34XXX7eEYEDAvT5rlp3YowRPWbma6GAr3ZSonlH6xTWkTSOtWPx8P5NOu/ogRi/zv7Olbu9+c8/dpB+6FXP6KyxwfFD++ia86VjBclKjUv6Uj715PWmdEpUZ0L2w/b8YhP6opWRkXFY1vUdl5+k97z41unGHYg2PT190+LiA/78Xynn8znYHtJl9N9Aduk0VPnc+63WKDb2ohG/fCaNwu0y6vS5cPRSn2EO2sowhUg5mHpXILzxcfn8hs+8hd72GTeJPLrKkb3LeO8QQGEWjT/MvniZigYQ4zgdTWAYrsjjNxiGO4XKKqDH5RPx+dgjOy24sOOjzKV8LlLmCcO54YCZaIK0E6UamJb+o9DpaIwj82XuTa6zHXCgXDsKENWJBKy/89SOmgTQzQf8KnAUUsHTh1svPYc+/K7np9tr7QJeptYLkVUecZ3T4/7iOy6lf/7m54Z4RrfbI4dY7xECB8P6yzPUkTzqhUzoJQ65nA53XLVxOAW94epZ3tczxjFPyrWnK+rlHy1tWZVwtsv8T2z5n7NdDcjKUUQVp+8WYjtdF5E1zl5y16X0c296TohR9EUKBKl7UkIscV2rHvaX3XMl/cArn65w6cMPgea1zQlmo0lXCdHdPtChE6UpPTq7pKP7i3oAXVzbC7FtVJ7zGhFLIuMogXX4uok5ysHnMqGr6d3+VcLeM+Lhu5lGZPAOpekzXvjGR4uLZvS09MbL8kEfIuGRZJJRvzQcPbiPjoAbkgu0s7MLyNw+nsUlk1b/Rpo2KrdMim+nZwxJGe/YULTtRl7hcJeylh9FPQLGpuz4t6DyPsh2ES4IZjvEqkJkYXb4l143Ahc77i3Nrws2wxVmlYadO/adPRPP0jL4JdJQeyV75pNIMe3ZtjeCgYkjoqaFOxaidg3yenq+xz0Mg/jUkdu2UUyCOsO1ZNd3Zi43NwY6fsjBM9HPybtQQp4UpEVGBSC2niUeyfCISJHTUZ4jlc+Ej3jbwOl0lcZodPlibVvgsXj2OlUya2qb7Bu+e/Z159O3v/SpNI72Houdgl5nXmYu9m1u1PW8KgcX5zDmctvOOhFLX1WY8IF9G3TisORlkZMTycgIl7kXrYZRJqV9v1kB+qx6Vl+vaZ28FlW13Qi7XodRiEzFqf02UWdJ2WP1+wCTQLfp7V8vja4a9uDFduil+cGS7Dsv/NCt36/exY9P+NzPSxSIvMKhs4ABUmwCG7CWMWfvlYGL2pOf/0O4+2loB9hrh7cVLsTQgJbjyAVlNJ7zL0rLUYFue3F2FjOuRmtWoZfMVRJiuJQgTjkmbgwj9lsr2is5WxYA99qLugPhIcrNXLRROH3vze6ZNG3o8PyzHTNJAyJTLjYK/TT4ibmAfjOQiUaS7wLlR437aJMgZHBvdeZ27uz6ZDRYfic1kR7cLz15mE5NhBDPgm3KTcl3tJNtbq2lbl8zze66zw3z5aCnM74EsYOfRnoCOTqNdxEuq6D8vPy8I3T5eUfoFz7yp3TFMtx/+zCy/2NAut7UcZIMWJkXzW1f5b1O8MjA2WnYTCjUvfhFeou8Q0VGVSwc1UP6CNBs51UoN22f8abN4qHn/o7LT4qjrj0QOexcmwjaF7yEzBjJfqQHRpDV/+z4BeW6t73n0WgP7DkjHg1nSrlNGviIGFMXsiWmeR1KMcQlMSALY1WnyIJbW6PbDi+a/Y6sPR8U4Wlhu+PX+6kizHD9sBzdHsaBvy0GyjRe/FM8ui7kNJn7WabM/QGLNlXa4NMVKZw4ao2p5hRfL21qxyR2QHBjx6T6SIhcpW+LZ2QocvA+G+g0Yl+pdzg6KAchPxhk8/jIQpCWUGxQXXPgY+9/LEyPeUUvj5iuq9epkau75Gm5uo+tKN4+FRlmjhAs3//q258XYGqagziZ/oi0QJHq7POqQuyhYwUqxzZfKjqC1aXriPmJn5bRk3AS52V+xJGP08hkqSzwfS9/2nQFSejdKYu+zoDqNbm3sTPXg2voROmkfxROv6IlAWG7UXgcOeMonZD5LZui34G9malHZ9PGcYROrCzo8fvJ1z+rr4IlbG4MtLWV2PAK8FuH07H3ix41LXSS9ZVDMi5T16pgzxnxcmfRT6vvZtaPjNcM8UfMYJUha3MZcA9jGkd+hIC9n8Ah69mOlPdehXn27mbtX87I0+VaG1yZjnCZZ7CMLF8T4EgJkXUK+lWGJgpJnyu4wk/8BcpST9TCoHrD30WXzLXcXjsML10uK5xUSf5pupTiG57FLHX5xkzkkIyg5ygSctz1Kj8Qh4ifgkQdHtnzSRuvzgiXKC0yMI1zs3NcGp+dKOgY16KOQGD0nqtFIezrgOi4lhdhIwGn/u9f+axumjHtg+IZ/xvSJ0S9Ki1LMiX/VtCvdSjo+PNMNm27kU0Z2AoiN+YbaQNFO/zeJya387m2qGSYlohciRwC64Ah2PnsNfxiPmh1mgJah90arU6e1Vt0WqTX9joMxTx0rv8p+MFXPp0O79+kH/nAfwjzzb3LB21aZOTX3P517nW0se0st90vAWRgz52JR5A1wPRCzV4aYc7BRMYn2F7Y7g2aCKvWzrQCJlBi76d499Y4ps7VRisjzB8q734arDGRFu58ACM045jpxUXSnBrbQi/OcYRhmFYCdVpGQc/yqawTStcXfVald5ehx9kQ4TSFQ02rDffhEn26cJV3EkS0jR1w0w6FqoQnbhYcwTvEcXsFeXPO8PDIIH+HrI0u/BOkakL5p9eSTBvcPKnz7uGuKlIip5XOCFaxXuaC5sPiXaAUZxwymmfeftnJavCtEkJaCJT9bP5M2lWnjtLrHrgWl4P0u3hn9A/hFJ1uP/0OYrYa4A4Mb3qRfM9GVdQ6QOU6TLd8am4VkDl/PdXSTjhREMTh9BZScp3a01x6F1yDX8LpX/2sq+i2S0/U5LuvPi+HGw0uYUURUZ7OFkbYrIo/Leu57Nwj7ldQ0CXhEk/wrhjqiYtuI7mCHZlqXJJ1t3c+NtGlx7D+JB7bgT1nxA/Ob/S3966mAaLUnlVEgHMZYaedbtsF2TMGBIcoDFZ78Uey44GAX/jXs5OJkpDAamjNVVKnBV2GTuT49zGKqKHQuVCNmcXfcjfUWlLawxzhF40/grhbQXuJi2WitO2s65bfvuQmpl9XoMyVHRqg8M51KsU0zto2oe8WtNOxV6kWacvTHCnvOjS2gnYS/BQpGnNhtTvxfp3b7XOlL+HUC+YyqDNzh8RUNMt2d+ziu1rm8p2Wx35xJOr0NnfiwTsuuzK1o2gWzfcjJ9tIlv6uOv8ove0FNyVaL3VklHAfl25YRR0O7N/sU4djmdXXtqa1cfRv3c8OQcbw7p0TfNRpfZMS8kz2TsvS3q85RD3QfX7nY7fQ7ZedrHX+xGvvZW0M8B6WLly47kracTQ91tsJv9eAo0eCtoO6Mk7HLO/TMHXvS8b4r2m8XkdPyt6iH8n3VcHeM+LZYHoREgNZY9KpLfEmDlHWBaHBAQwrn7gyWGJGqNMW7fg7b7qsxmlrHKFR0nOOt7dctMjMQg7SUDmYZ/kOGbahQYaUqwQuEL9qqNudBG6nexfbhXWHhgdEJsCzrx1YbtDz5s9z7xGH1kTfBKzjcmQdStpLqxyic2T2iESuHdSGpovI4ZfrQ8sUn9cGPD2kp+1N2Gq/ppHDZbvh2zlHh1+mmydl2uusNLPOIpbUaC9WcjO7Q6u6OZxDPBx8fUojoVfRZkh0zUHs5LHyr6ccUetHdIngdtduBNddcIx+993PX7aDgb/PHF3KgjXi/XHr31nsQqXbmTcMVMdt1ZBx9mZ1h+hTe+YC5olyqH4iEmfYTak0P821Fzrqouo7AB/78SXaWs6o+8Wgc967P0PiMrh/Z/iVF+1qNiGZbr4uzrX3jPgoLZigLHPU9D0VatLwkguS3UPmXgiEcF/k94WgvY3dVzo56DPIaNfc7MSP8xWvlhYYadNVT7eTCa8O61ykRp737jOjaQMTs2rvDDmfi3e+8GY6tH8zwKLUlXvnpQmhM9eoDrocGa2Z78SDKlOOi6l+zf2iRDOAS/nCkxrMDbPsFbBxGKb+0QAeE1D5corRCN+adtyaMPQ4XaCxFSoHDSdLV32KyrZ3UUb5nGovhkSfk5XOCft85wtvpqMH/St8wrbnKo9cOVNjucpw+kx0CgY/f+ZizC2mY2xbwSx6C38FjBnPUMdVrl8B1uB+rjFwFuP87Xftc9BlzZN4FGMP4LWOjNc8AaNP8XK+OJA/btsFOY79iy6WILgdXbZnFtARUg8fk5bQRaXTS0e+yr+//rGYZ2bgKZecQ+9/yW3p/NqQ7i2XTgvGSts4sM4IF7heFpD9ZDBKOxtOvwaoAiwyjtVbsTsB3oXtJZToprSPpt75ROnjMuUQsB4rv51D+zbpmvOP1r/LGSIOI2ByveHjIS6dxlYr5hssGWTiTwY1iMI/MwpVbGA22tFw2bmH6d5rTy09xURf+pxr6mfMuplLoLRvN6wVl5NzI7+tHBiamfUWGahJ6M8vS3DBH106mGlvNu0ElUFjpmaRxoLgj0AxLQAN6aDvsaDMzYA+VTPq904ZvS5Xy4ej/PPWUoEtpWh75ZvSA5SXhGKp85r6V6C9fOlzrkmFO+NIO8sjrGMc8WO/08cP7aMLz8FnRGdDp6xD6yuKRNFhvkjHCNEL9JFspMxUnV7auhTgKcjoA/EdR7ZUO+bC27F6ktf0QFjGexB/TgvV3zdf6wwVjqBb7s7ktfERQT1v+C4Zrz147JY95952PhDRl9yf45kRnHv0AH3B3Vek82f0j5he+mZ1u7pQr0xuOn0OT9HnNTGxPWfE9wqGXuVREwdanOVX7/cme5lr6lM0g8yr84dhnCrp3KMH6J+/5QGWPBqGNtKCKaJPniGIwtQRzL4ds2MnHZ6v7aWTCJeZBhzKV6p6wa0X0w++8hlh/XyqI2/m/NCngtNg6GquYRR5RnvpBK3Z3otXIkACv7RR0vYtO7S5oWkOtze124v5j68coPP5EWxpw0CU7+RXQTs5ugryMI2IO0ymeOtCKRtEuQiiy9MyfJhD4UlzdWR0D8Zc6Oc7tsQUHlOf9oOQiMaY7zz00y45eZj+5dc9HGEWwtTt9Jk7KyKI8pe6zzm0n44cyO/U9d5jkcGlFQP0sluWO/m759Lw9sv3GFte+3xM+dpYOBaxLMGOKmkwzsGzAOKB6zhOVkA6In3Z5um6vhSV4zvXrixJRU/YGkf3Dp+B5YsgugwaGp1o7Uy2Mh8QDrnNh6Q+YMZoHoGtBJeKktQdUF3IUK8bazy0esWw94x46PmaVrJwXUEa3xGoii5oWxkccwVD9Nme7X6fERkQGXr8hTc9QJ/7tMsEfls8hg9wmjJWmVDZ6HvS3bt5ht3nVlwL3e5TYqL88JNIWiCnlQQs7KfehXUCw8ce00Dloj77SlwUQhZdoNW7lvS+5dwxnoLSh60q+Bdz/otveYCed/MFRGRv5Ne99v6aa5SgktHXNApEn6TSfUBYI9kN+U2Ch2XpuNT0OXdeSv/HWx4Myy2UssXvnqNB0BEE1k2sIPo8vYfm3vnCm+n7X6G/p42UkQCXTm0/k3ugeSGyYZ2BDIddWIEhNgdecOtF9EtveSC9djno0P7aP/5b6B+4nm976VPpdc/FN9HDdoO5wjIL0/1AHPdcr9c4FbNhnThtBRfbjYwn8fwtg0zr3YGG+R1n9i+8+bl0//Wn/Qa2CYf3b9LPvvE56q0v/6B+kwivjmDfxkA/8waNA4boLgMOsx1Ag3qqtp2kHYPB/GBpAWLxhdSZBvsg1LEjAx+9C9fX+mHPfic+IpC0kjVzhqDi6uzSueWUSG07wjlPROidVX/LMFjc6fuvP9+8u+LUEYNfMVjyIdER7iANYlfSpg2BAqMx6foXq3YOIeeNbDPRTjBGyMurd3QjRQy3O00fIjKhkwGm0gabxzXUB4tLdvwL9O4szBXIF55ziD7nzkuXESsDXc2OonDc7W57X3ttzvP0z9+h8S+/9dlgXo+5rIl4mn2H5mmuMw+12dpZ5D98YJOuOHVkQmFmNA3w64EoZDscf7JEkMHhxJH99NhtF9O5Rw+k8BvVkxvZsLlIhirDDWdKoZWCyLmc3ZHZjqOkFw7t36Sr2HonmsCzCXjK7LPx8fdyX3ry8DSiDDaHgR68URpsWvGN5GCEZxbW6VgR7TjtCR5YdtkwlwHv5AZFAaQ7veKeK+kpl5yAuAmetITImdq7diPQMvTa08fmVZRub6AbLjxORDkHPsfNvAP5Qoc/S7vxouP0Gx/7v912Ci0sLnPGco/L8poD4pkj8qzT+jk3rMfJktXX15q2HKvIXoJRxrNxYfIiMf6ZTYjtwp7biUcQ7h5yIZ8IAUbCTC9cZEBbIxIYSyGe07AIY1b5OVNW+OE6cL0/+pp7Ehi08798LMNQ9qrk5jpdQpnk+E97YueGhEVz0uqeNoRlndtb8JxMzYU5wFOMPnXWcOnDDxqR4/T4ZxRtaFzoYjz8LsH8VREfl9BI8NupbQCt6fxjB+lvfP4diwumtLIYKY/16RuFRPwowDSCvcp3ga0tSTvesZz2LljPEX5mPEDfk/ai/vbwReccci9mOvfofjp17IBoE58d98PtIBIhzsAgmsESzjm0n7735XdhVNZsPKFbfGuU1Yp237M0FDm2QpkK0rb7lYAIEvpld12i3k6+rWHf5gb97b96d1heOuUGkUYUHxPYzfB5DZmA3liGs7omOoZ0p9c+91p6NjDuF7jZuwyis8/5SMz+UO8nM0QOZ5FP6R8wbTnHp48fpBOH517yh3Uasaaw1R/C33k1XrOrAuHYCTdx5qYtADvkbb4o2lr/HTvPLcDjmwCXln/962XPGvFTBnuUD+XvEUBZ5m+FribEXKWR4ZERTlIh6BsjVMeGanyuR7X3Qpk8htM4FIhCcKIx7p2vCJBh5HkAR8oxljBSJYH7ur20oXOno87VKMzWcM7mX5SxSpi8XVpH3WyvzzgNCL7EGD2x1Qwz64iIjN0AF+DczN8i7o9/dQIpqfePvurZ9PnPuByW+cYXPYW+7fOeKnDOK+8qDeWvT2HOmLrMTnyAQwZiXCz0KiNY5qxfoUE0a+QZUPyiunYK5t6Fgig+cqLg+ud1tmeMkEzKOMF3An7/PY/C9xE7j44bRWup1T3Pa4GKXX7eEbcPgifNavHMgOhMvFsm1Kf76qLgssECP/qae+hL779a1j2zvWEA0QdAPu8WdNsVSd0kQ6OZiFJ0WaSHy5SNk4mShbiwttc1XWfD6QkTXOp8SaAJZYwYGLI905jsvXRmdjtisQWhlg4Ojz7lIrrq1FH6ln/y+7n22O/teupzRp0vmCMId/KBYq8jNtLCJvnOg63o1ttkRYP5kUMm5W0Fk5xxOA06M00oWdAxUMq5aEKAO3Z1bUxX9ppnX01//qnHxbt2IaSV2ln87IWM8onSslBm6aITh+hbP+c2+g//5X+ExpJtb7pFcfFcIORDAxPwDL0TH31qkTtXwgvqEosnuvSu19M31yCOZF39u7YxqwnVHjPYlk9+BGM7PD1rBEWOoCg8cq6Tfi5kdkWHIfd5u15lf+5cjyPRN77ollZPZ93RFxFg/g7cekBf8Oe1g47/9ILo3ow6FnzRFrSXFE7LoFU623cTenjW5AZecHRpYl8t9dleWJCBvhjPpcXARllnxNBcyKjImH8MftryucXWxDAMgidlcWjtRWlNXqc+ZcflS6LtObDnduJ7z+hFu0kxUTaCsnXa3xnm03tBnTayeRbPW7XIFxg/5kdSgV0+Lz/vCD18y4W4TvQiKVD02aZMSA0He353NGmRghJ/Ms6OZzRkq7jtlfPwi8451F0mgvi76H3rqwAff50tOls9e+c5dCj4awKBvO0c59Pl97FJvu6CY3T7ZSdlfmSAJ8LjQz7Qyz/AeUFNIof2b9LL7rmCrrvgGN1z9SkiakrIhlx8AodVKoNZB1iBOSFuN1x4zITVT+FSwJyDnMhfYB23Pjdl15dPCLp3IAK5d3j/Jp0+fpCi89ppXELhEb2TdYW8fcWm476Jic2Pta+HrCJyIgt/9VlXx3UnndLRrmPLszNgwulXQP+rgpEmdvVU4iqdOPpTqDsJ3u5r9pzyAPJoQ4zfIq6N6cURVyWX1zDNGWP3zINlhF3A27xNhUWaX3Odt6DOmy8+Tk+/8tyaH/EkeSzBQmZTsvLVkdMCN9QxDzt7Jn6FAI3muYZAYLhxyN3EKpXbqYvtiKaJsqaBxN78piBrfLvKZmQkdIepA+MdtYNLSXDlwWDPAPcakylGIXCx2Oi2Pe/rB7/uofp7cxjoCZVP/rkU0gF+8w3n6XLDYBV7Y8SPI6OBPmM8dz7fvkPMGRq5zhzo8n/wrS/0EaCJtR4afjmFuQ+m+dxLn345/bXPu13gsBHQZb9SHGHHlbhpRS+6g8ODn33jc+slTimlOOBbMp98yvzrmEtbPlJ8vYtXERIisizgv+cdPUC/8c6HiX+CtAemoui8dlEdvQrzKmwXb+1HX+g402GubI1oHPV9p89ka/rkfxaDBclm6ZyQsN1d0uwN6BUXoPM2x6I1yns2O3YKkMHXS3M6v2dElp967sWXlWbAQIOh6QjPM9dg96HKM7DxFZMOl+H97X7J/dfQO154MxH58n0cLRL60topPPP9WcDZM/E7BPHNqg3MLkZUZ7AQswaEzoZ2nltanzGT3uH2s9V6c99PjtLKeOYUX12OQ3Ru1WTPLtyU0u6D/ERaqTOnWaaUVGB4ezhvbgz1MrK50KP4ZndJI0fEXD4Yn7vmMG5LsWqCK5cvVSdag9teZ7xO5ZToXHsRtDU4zZMSPVriMk07COSZ4MVTh9P3AjRKMlESmTHm5/YiHGZ2YW7PYbnOJYPugtjOLjeKfNmOc8h83nSHtOjMPRG9EO2IIVjVTtGonou6Wbq+HLiz/nV+kxy3Fxm00+UjnW0ujOTj1ev46N58SBjQq4JfePNz6+/s0MVq1eDmQXwIfTUpUCERNmGqlzNzNFZGdS5+33LxOfSLb3lgETGwW86WTsdKVG7OpwF/+a0P0gtvu3gWDihX1R+WD3lXEU3iV5LOnolfIax0BwgoqzDUOHV2Apch8nfyB45DaOCD9kLHxbQi2nuua+6uEk/b7rfIwwsrar+aMt6Ms2khGIcR2XeRAoCM/h4YhsUZoUfUsQUioi+690q6RH1aqLeNSHGOxiF7mZlNi3BZX1r603nVAdHXTgZEcRBFMKUYDok8uk4vTc/7wzdb+nr9g9fSrZeeCMsRNW/5NGrTIW69sG3veMh/2u9cSO40XVX6EmnbdEQM+Hcm/1xjxMg4Fro6p57ofo9aP+UU7am52YkNcaQgovYzDscNxpOsbmFh+0tiWu5m5bwHn3n7xXT4QPbM8fbhJXdeSucd8z/PuM5PEEbwWU+9JPyknAYxt26kkpO/FCtpcTUrBf35OhvKbpltZqebg4lmXL5/3QPX0lMuOUfmJX+dZIZjGPgmTpxP41fTanu2xY2NxWdqeaTiOiCS69koDi/aMutg8eDy846Ivx+55cIwDB8BtKkCG25gz8j2WteSWdtO/Hvf+16677776MiRI3Ty5EmY54/+6I/oscceoyNHjtAFF1xAX/u1X0uPPy4vePqlX/oluuuuu+jgwYN03XXX0Q//8A9vC68wPBsSUp9RqEtliXIAabosEsZ68xYb5bJMDywcBRanooAd2Nygo+ZClWkYiQn3QHkJL5OK8AaMMMM4a5i8OBMvceGQugBxAj+TlqvB1rXE5bKTR+icQ/vpB7746abUy++5kh688QLx7siBTffcfHe/wrQ+R0cqrRMbb59T0nhfr7P5S9u5HZzpNYHqnvsZlznwg6+09PW1j95Uv+sreIWCuYZ0fPdEto5ZTacgVkYauHx4GMjryUXnHKLzkt98nwJ0aZtxOtDAaDbHgJsDbBrGZL4I5sxltkyvzNkupJwp2bqQsz2A6BNlU20Q2XnneBo9Jkgj8g2d73nZXXRw384Z8d/x+XfQOc6nJ4liPp4Z97lK/Yueegm9+I5LYRrUe5AcnK23LEpsjTsfWm+jx+RTpCE5YfRpRr8q39tecBNdX+QYtT6HjgSnPTTP6JiS0eVnju9uzI0GPCd9+SPIOpGKDtwzHNmxyzm/rY2zalibEf+pT32KXvrSl9LrXvc6mP7EE0/QY489Rp/61Kfo137t1+hHfuRH6Id/+IfpXe96V83z0Y9+lB577DF68MEH6UMf+hC94Q1voC/5ki+hn/mZn5mNVy8hIa8TOlerPZW8stxO2EAf+eYXGIMM4ZwNfR0NUnF+lOahXhSw33n38+kZV53rVxZAYcrhDm3gBImVLF/ZR4B2kDOGUa07jAAoeXxs+F/RJW8ZXvAjr76bvuw510xnXMLTrzyX/vlbnivexZ8j6oEh6USJ+izfiHCxwMHSnC8cG/muW1EP8oce9GGgzQBXt7mBKS/Lcr3rRaftlHwP6RjkRw40nRPSZaRMs+yZC/4y0H2xXcD/Y3nEZA4R/cPX30ef/3T8Kby5kDcK2W8gowrEfdVzuT1azG7kzz2KsSOKMOdNwFkOsqWA8whORx/55heYuj7yzS/YxretpyHCPVpLu3UfAHIuQVyqCMrNTqniCXacbdWO1RHojXO/thLB1jjuqKG47payR/28dZnjQ7komtQucaDpPrE1766RuQBlA8w3jw+viszQ18Bge9n6gCPG1MVoZ12wtnD6b/qmbyIicnfOf/Znf5Z+//d/n37+53+eLrzwQrrjjjvom7/5m+ltb3sbvfvd76YDBw7Q93//99PVV19N3/7t305ERDfffDP9yq/8Cv2Nv/E36NFH8Tcx58DcCc0u3Czoz1NkbsJs77jCpz2WnWZXwtFRFLD8JzWiOqcN4GxqaJwl+oVwWodhtF0nCtpTLvN+YF+fb24YBvB5mnkQ3m/Anjacyq/TXmzH6xqW78Dxk4RjBaZ1z2XBwc/zNQ9dT09sjfSL/+b/os0OCTuAenNOrD6Y2+cIovC5/miHruxu+W/9nNu2V9F2cNlmH1a5Cyl5jAw773WU4Pr99d/a3Z4R89YX3EgH923ST37o/5xdB2/dRiJY2Am7cq6+lzlucWj/punDamT4vMTI8blbgO5aQKhlLxHV/Xr29efTD3zx0+lb/snvC13tfS/ZPm+SbQ/y0akToTz7NgZ630tuo//zv/3Fjt9PUPEpz2T7qVD3kncis9ETi5GWwSNJ39uVdd/2ebebI5Orhh45mrpMOLNRlm7Rtl/0qAiHbfOfCZm3ruWyaxfbfeADH6DbbruNLrywnat89NFH6ROf+AT93u/9Xs3z8MMPi3KPPvoofeADHwjr/uQnP0mf+MQnxL8Cvcp7+PmKgCnqXRRU/5SuZG/ETnjokowaKVQtLWpnqPlX5YnluLfLhYKFH/V1ptslGqOoxtQtx53GVnZYB4XgTilBs72mM5n4OpgfuvE+wgXusHac177hwuN088Xn0BXnHaHjh/IOE3QOb+74zxWiYjd7JLr10nPo9PGDfmW1znm49EKPIfiye65YQXvJNHOJ17RhK9KcxKM7eC64APxmelLWuNFc2zy7eecV59It6twqgsgYR05Hff5xses4H88pGEeiYwcbT8hzFR92ysCKIvUKIF0oEla7/Y1rRJe9R4JQFF+ZkwuOH4L31Xzh3dvnTaJtoItuFzY2BvrCu6+g6y88Ts+54fTK6p2C0fnd3iUMxSBNRo3JjNzA1zp4xpGTImenHnTEaQruu+58uur8o4lG58E4LuRooJqvdFOrtttXZYWrTh2lh5b395gNENBu9JUQEdUpfWQQtnu/VQZ2zYj/+Mc/Lgx4Iqp/f/zjHw/zfOITn6C/+Iu/cOt+3/veRydOnKj/Lr+8hSB2E1eYpggiyONV6u62D307qimv8EApSsrsLq/i8ozM+PHB6vk8R679Bug78dFQ6dR4sfI+TIf0RmHIrR6bul0mMSUoNURMHOfvc6L0pPWelc7e2FtDvBMh0Rna+xdvfZDOPzZtAIv6HaXCy11gsUZ95WQu/OOvup+u7lQSBiJ5RKizzd26RArB/PDs1bT/e+95wWoqWkLmnCdSXnrB8tjdObsZhaKifOvEcxwXhtG//qZHxbtQ9jrveZGdvp2aO/dtGn7q32cKLObbvtNQjbS05EUyan0DgAyqWDeRKdp5y+v6rKdeQu//3NtXgGU/1HtHVKQBUd9xnoGYcyZlRNqLNKOourlfzggNYTCXO72G9qGjpx12xVRaWU+ZY5gZh9/Dt1xI3/WFd04jCHAxackNngLtjpz1TVKXEf/2t7+dhmEI/33kIx9ZF65peMc73kF/9md/Vv/98R//MUuNjF2eNs+zhwzT6IIRD77xRU+h7/nCu1Tdrd1M6F/DExFeZEQunlGkwCq9ShF+8fnf6fHkWSLBnPQjpNrJQKw8NvCELt+hXYciMN8Y9x0zZvyTn9Pq/fZ5xqjW67M7vFsYAkCoddUm4V987YPiCRr38ZpJCuuQMaXO3lDUuE6mdKp2ECBFdLuQdaKYlAwfdpBc9e4kUpp0W8PQ8BlaYq5+9fevvv159PynSIf8um9Rrrhk14t2Elc5uL6d+C206wuMBY3TFOyUXq/bgZ8IjcozeZEl8f/jax/IZZwJ6Ly35COLP7I8rCcScxXQ9MRB/C0MdqDfet3hTqXd8rmUdn/lbQ/SAzdORwCIfqlngYUOJfUV7IRa6lyjrWTqc6Vahmf09uji2t2Gf/G1D8ZReAmDFhabKQh6vpYcRRsPhMc4s4njtUEkZci61k7XQdg3v/nN9KpXvSrMc801uQu1LrroIvr1X/918e5P//RPa1p5lnc8zznnnEOHD/tnPg4ePEgHD2JCW6XSkKkKG/oNmtdJxij2XjQzdydT5vPYHfCKjf3G46vuu8rURzT1bXeg+LpYxhAyCuW4GDp7h3Z3IiMDvdMhnhGMTKKsiqZ5Nav0HGb6lb7hfVwqudVQ355m1AR07FBYxfrKwhWnjoinaS90RPqAHIsIbBo35PLja+YmoTB6uCWW7qKsi4tfvhdykSHbx2G3DVyZD5kCFrxP7FwKzmi++I5L6ZOPb+UQSEIzYOJ82rEOne7Ld1tb7Y9VG16jI0eb8heX9QCVX4chEJysMMZkttwUXHlqfaHCRESf97TLaN+G3t8CzollFnz7e86Zsc41Ho1/BJj/DuK5W3DZuU0m5iMgMPA52hgGetFTLyEiOydcn+NJn3n7xZPzd8WpI/Qn/+3Pl/XEmWFQgMNPTb4dAk8n0dAr/4TumYgMK2N17OA+eunTLkvh9LrnXktPvfwE/Y2fp3Dw+jfktLMMw7ocMV1G/OnTp+n06dWcg7n33nvpve99L/2n//Sf6IILFp+8+rmf+zk655xz6JZbbql5/uk//aei3M/93M/RvffeuxIcNMjJW/wx13uUYdjSCzptkPWGeUSRQhlCjfKcPn6w+5ut7/6sp+B2EkYJ/9xRBKFx7NTNcYjaiJwH2fFsuPhCUd4sjAGG/G2TSwBHM4Sorz03p/O+hxfbqWvm5cV2fju5b7sH4SZpA6f91rWtVOmvO0C6/QH+1rBdR8SCPvpVh1pCOO4SjipKT4EtW4T8oX1ddxBkQJ4PH1VaVC73bp3QrYOr3byInMfRfhEiov9Hn3JRJzLzILogNl4Ti8Tzjx+gSz95iD78x37euTCS3eWf4hleOtppOn3sAF184hD97v/vz+YjmYBwJ5P/ERglEezkTuRn3n6JeXfs4P76eUe7w52DnTCAyzgdP7SPjiX4XkaX2WK7iLtlwke7pNlyNuKF6wpE3/2Fd9Lf+pWPunWdPLxfGLHf87K73LylTjctIYuzRuGuHzUTDt5Il8/pJt6nBBEcPrBJ3/bSp06iSET06mdfbdrD9N83nju5wYNgbWfi/+iP/og+9KEP0R/90R/RE088QR/60IfoQx/6EP33//7fiYjo+c9/Pt1yyy30RV/0RfThD3+YfuZnfoa+/uu/nl7/+tfXXfQv//Ivpz/8wz+kt771rfSRj3yEvu/7vo9+4id+gt74xjfOwum3vuERJVCWu+DLPzMKmDD8EgpABOJzIAkcIpht/AceM2zfLBK/4TNvob+2jTNRvN3uT8wlHB7ZuqIL9DSTDA380MFif/fSDjqvxj2A//ZbPkPsUK8KthNmbtPmtdOMwO2rcj3RDlng4Xa81n/7LZ+x7bpFOFdiN0TyJ0m3WWHvBTfMDX/GIYoonx/i2Us75dU9V59Hv/n1jxg8VjE3U7h4oXVz6loVoCXkGoWO08XDawzSngygh6HIpTc9ciN91xfcuZY2t7Yc48Kh+Kk1XOtaPt/w8A30fS+/i79aGURh/xzMGeZkWmtn94zHAs+67hR98B0PiXcZR+Ru7Zz+5tc/Qvdcfd5K6uLh9Lv9/XEOfL1G56c9lIUOVXVeEEGxTPsrT7+c/uFXPAvWtRXFdXPcEk4svRY4/Wf0x52CXhxCPZ+m+YBu+yPfPP9uGN1KNtJsCqxTf/0TtbZPzL3rXe+iH/mRH6l/33nnQgj+4i/+Ij3wwAO0ublJ//gf/2N63eteR/feey8dPXqUXvnKV9J73vOeWubqq6+mf/JP/gm98Y1vpO/8zu+kyy67jH7wB39w9uflDuzboGFrhcp7OqdvKGYmGZ2p77Nn7ALJOCyixJ7PZCEQCiKry54ZmmdE9mKXyR+dS93u57SGIfc9da+NA/s26JGbL6TLz82FO03iM7dcwiHTHWoFjDrv78jzjnb+8XGNyEi2a1BETrD6Duzb2HbIn2xbPmEe3WeQhsqn+NBE2xHwKJTF34HSPuLfmTYK8AtlDuyzbfV+hpGD+N6s6gfisCNzo2jIRfCsVhH49uTOhTDSGAqaD2bCulcJvb68Xie2lrcLWbc+ZUwbRi992mX0rGtP0ef/Lx+0uHXyk42NgTaUEzo0ODpAnJVOb8Xn9RBRZpeNFsRHWpdtp8ubQkvf/YV30sUnD9l8Kw4xKBh6/M074xvdC8PvCNiteUDHTuoGTKdePOWU9rrI15KGZ15zin7oVU+X9YRGawCc1yrb4Ux3kuooSK7XRp3u3cgbx+19GrM3YnEVy3RdM7c2I/6Hf/iH3W/EF7jyyitNuLyGBx54gH77t397ZXiJgdRhUSLRGt6jUmNFWt3VV4sO4bBMfOFtF9O1Fxwj+lWbBtBMKyPeucQsiJ1uEx/cV1fczuK5CQSE3iFHHu1eAz/yIiOnRG0npWjncPCGjwuUVKgxEEAXnHOILjjHKgpZGMeRho15wjp38RYWwjZFArrVupVDThtH2RJhgdLpIkPSeVvT/YqU0u0qad0Oj5mRENvBB8GpZeipABB5JOruwBDxAz7W0XreLnAbyHjeVyipW79W6AgaiD73aZfRn/zXPzdpUcREql9ifgdMAyuAVdig7fOQfcrcqoGHKhe4/LwjdPl5vjM22lmcykO0OAr39CvPzSPpQBQxwKFblui/dzKWPgG9F9sNRPW8NYcHbzyd+kRiD8yNFhT51Jw+dPMFdONFx+cjtQK4+eLj9D//8gnxbpXHBzOX9UZw7tED9Lyb5MWd+MLbotf6dfbsj9191Xl00YmD9ajHmQZcT42OoaHhX+dxgUxUwCpA6pLrgbUZ8Wc6ZBnA3O+Oo7Z0XW985AYiIvrq/89vp8JGI4jC0vibnFEi/xi40rpCUuzZeY7AM8Dc/BN1zMJhBcZTyZf1Sq7DO9tT09SnqPTfvF/W0dShTPNdg5kKYnRTfgbQPGxuDHUHpNS3tSINVOz+BtEmc0khcgLqXaUM/OY3PBK2k1Yom5bV8NE7waDcptqI4ruG24WIVjJGoXRA7IClGMDg/CZSRiHPp51qjjPuN7/hEfquX/h320XRAFpTTZZI55yApEMs2jhapfwjItq/uUH7NLEGMLUGo/Pa5d01p4/R33/dfek2I1zmyluUGBqgu7xOEOQi5vwjSN/04ltXi9AS5ugDKMqq0Nr7XtKOTe7WRvCL77iUXnzHpeIdurRRqwWSh0nkD+7bMM7eKCJhLvRub/BjcAMNrvN7HEf6ieU6/i1H3u40hNbSDhnOGYjupMqua50/jOpa48LZte/E7xbwECg9rL3fAEyFy8Bw3T7QSntWeW+Mra/F4hDoOT85B5CHLjozFO3Oe3hlP/+FDOcoCEG3l/We1jlcgedx7tEBDr/ytgdN+z04eDjBNB16POF8aQY39+BKxahnfYr2M2sXAFLiS/5X3XcV/aOverbAeUWRq1JhXoWhPgcH6qcLTl9Ebd1sgLmfayBpvvCrb38eXXv6mGl3VYoCmtPUxaSd7eyEF99rr75Tyk54W/pUqMWKYFXh4ES7Z5QU+AdfcR992XNyX/Qp4KMcj8vGNo/AofbsZ1sBfwSOFW9j48kAzVESzMSyf1vjWpfCbIiibiI4k+YrKy/anUYy/z/7mufQK5555SKP0y0tv+ZAdHcuAuGAQDryMm237yfoPfZmsOXq2Ew7ay6EBnfJk9XDAwQP7NugX3nbgyIKdNWw94x4NpTRrmH0rtUVpAEDc5Vh2RaXwHjqrSuwdValPkUKn/BKJgzVbP9iRlGUVL+HkVctCu/tVcYzNMcZ/HbgMnWGvnendJE3NsZTdWTSlpW//yW30zOvOQXzypDSaE1MOxvSXVlmPLR/k84/dpCjSlecd4Re26mk+80sKu09P8Zr6E/pqd/CZecewUpMMdxXEBGlq7j05OG1er6PH9pHL7vnipUI5ZxMWK+y1n8QxqmHK51rRPnaC47RVzxwbTq/kfPid3NSZEI8Vw3nHzvYdbYzmit4Rp3Byk14sGt51xXn0ttecBNst1e/qu3MxG9V8Ll34U9YwU0ImO/JZ/h6cAZ1ZfaGUil2+rhde3pzT+tHWfjie6+k844dqHXW+g2L4Q4u6YxGhp9I2+W5wI4g6zAp76J7FVah328HBikUDJgNxA6s5tJQFvaeEd9JEds9K5NWjquxOs9rsFOerJWez0zkMZ9rpak5KU/GHJXxjUpX4xi824+QcGoYBsvc8BEHX8mKdqULoLOU24VVTG3k4YyNz/w6+9ynXUY3XLg4owfncqazbO462YQK8+Ld6eMH6R0vvHlexdTGTtAlaC8M21ICaC4Ol548RBedmH/nAschcqa2dnMEuaojC1k4tH+TvvVzboNpMDpoJnqr3vU6fmgfnTyyP93eSP1OPeR0XfX0XHjOIXqrMhTnAl4uy/UCtbmVNDsbthPuu2ql/8pTR8xZ3OsvPE6vUw6WjFN6GOx655+w3U2D5dv/ylPh+6xja7ft3hyeOcLe7d1fDjyEvt5JFWyYpfnpCrr4nhffSscO2tPKmp/iyL5iCFt9sqRdeOLQ2o3DKWhjPkI9XefLbKIt8ifaTmEYtRekJQhAHm/k76My64E9eyY+AuGUCZSYCf9r/dUu0dkuXvN20vRnNLIQ3bq6XSgL9Q/e+xn058sLS6JP0CCQO9zTmG1UxlnKDywNGEZE9O+/9YXs3NR0G5NnFr1yAs/cRM391J4Hc8KlNfR8J5QrDt4N7yINDG7uc2vxrpRRANwaCZIAvERthbqO5kFZr7X3DfMBeJpEJInTwHs/GxuuUxBFJWV5zKDoYxzHLofiuncuxNh6ebaBwCoM4d/+hkdS5695yHPtV1Usg0gl9lt8dpF1+w/eu65P+wVpK4xSW31IegwjLcbsT/7rX9R3UzLk33/rC+nPP/W4SV/1jvDf+/L7UsfIzPgHvJ7DdRcco3//rS+kV/3tX5+J4XrgTOI7RIv5DnFYPqfQyKB55pjwUm5Hn71sv3c7psNu1k1FqXm6+9c+/8a14ZiFcqpp0QfrvNUwmw93217T0HuhaUQ5c3bnVwl7bie+QD6MM0gDSnXmZvjV7JorBX3wUpJEKcKQ/VZPHt5P3/+KuzIIhlCUu32b7aMd0XljhaLMw5WCDiOy4KHr4MANtIhmsnM6gnc9dXFctIK9CugxGOPyfSVjZw0zx4E++D0vuzM0Cvvb88uh2pFiv1aDcSbtbFeJ39gYZhkxaN2IM/GdVGaU6KTnfhVT8r0vi3lf1sGSgblr0ANuwMvLk/K46N+lDiKi97z4KfT6Bxe7sJync5LpucStB6IwVVxgmS8YY93Pv/2qZ9Btl56YhV8Wvudld0ocSI/ZCH7x/AN0Kv6tVz6dbr5otTehb24MvvGUVLBgaVZ0c+bXUtYN3/uyu2DocIH2tSIi3ssp/jEHsjoKgvBTnzB/X/3rhEvPPUz/yxc9jYi4E9XmM/wKbgaUtBUiWNvz60b6YNNlCEaoEM2XxauFQuP2bgwOvZcQt7nwI6JSwbEBbAx2LZZ1nNlEk18kynVsXbO154x4afD5AM8zO4rCFLPb9i3s2rCC9eSEXeoCCmE0SUG1b3ODXnDrxdOVJADeEMkY2CJNPsU7Hu3QwXyjIbr29FH6zNvz/Yv4U4/nl5ePmEjxfj77+vPpGVef5ze+w5Dx9hsDPLkgps6Af+bt7fM9wrmRNHbnGLcDtT6jcPpVhR2iXdEYL5krj0akzG1fs9E7CtXIQzsRtd1cnzPYPfqUi+iWS7ZvgD3m8Abj/Bpy45Zy2CXz9UBRkO695hTdd+0pgQvjqvVXRsl9yiUn6Bp1oeDWuLMhuBlj3CsxqqeGB2+6gI6CENlVAudlj5VP0Crw+hPt+j5084UiPH0nQepCo3iu2lG1btgaR9rYGOix2y8OcT5xeD/dcflJMyce/1gnwDWxfEpnwzJtILoEHJu65MShlUdzbAcO7tuk5z/lopjPii9nDLBfGlbdw4LBs647n+4uOltJQw6FJQY3XHhM6KKXnDh0RkQTFLjs3CP08M0X0NYW+AxwcVywd/Dy6ISdhWDbX5MaBl+WJ8rzeYi+urQTsAeN+OkpkkqTnz9DR5iB2rdzaTK67Cp1FmUi1HgngS987ufSoN9k8eUeTv2uPJ925Xn0PUsPna4X73yU8n2j5u1m8Tqj3YzXP3gdfdHEzaq90Put+l6FeRU7yDkGv3wGji1Zpw47t+1FRicaq1WtoX0bw9JwwN9bNe2Gaz0HOyGI0O30tX2GR0bJ52ke7u/+rKfQC269qBfNbljld8d3gg+/9rnX0quedbV4h/gjgXeZvq7zVl7U3irL7ba58r0vv4vuuPykeHdw32b9jGXBb4sZYruNcwZ6cVzllyW2Cwf3bdJBFU0y0GD4zgXnHKKffP2zluk7B1MyNruh9GvveCj17oyAEfUHyxevD8URv29zo+uiyQyU5l/3wLX0yvuuEjhFovb+60/TX/+8p9a/f+0dD+2KkejBrZeeoB985TPo4P6N9mndIH/qDrFA3iz006VO14usrlM9t7bGUOcNx10VO7R/E0acrWvq9p4Rv3xmB3S+ce2/nWPMfPAdD03scgYKVWe4R/SJuVUBNxg5dhrT7E3cZuce5EFVNSPNpuru9xiQ6N3kPAzT9KGx+uA7HqJzDvmXVfXCQAN98B0P0U0XHZ9dg/dX71GHApvDAic0MOjTKzUtQTswTDgopz3hH3zHQ7CdVYW6fcHdl9NPf839s47/8JDpxd9BuZ3WkaHTUf1NOd51+vjBJX/cfUW/32Gaw3nVvNj7wsYHmZLL29wH4hfLWohw285FbKsCFAGkI4emHH27DcVQf//n3kZ/7XMX3+2O0DuDdP346BKUu0F4zi7Dj7/2mfQVD15HRG38NzcGesL57OE6omgi6OUTmQi6JwN4Z8yzw1Fo9BXPvIJ++g3PWSFmix34X/86xwGSPArWkX3H4YdfdTe9ZXlGX6s9kW4v8/k2B99AKfVvN7oLbRxo+6e8R/klfjLxf//KZ9Orls6anYA9fbGdJ6QR4aGc2d3DVeB00YlD9F/++yf9cuy3XghF/8piZAybNXF4T4FChoibwcsTNNg7lwWuOX2Uvvqh6+mj//l/9LdNUjnBNx+XyIlBPBdJWGHe7m3hCHrrlPPl59N2gLjYbsKd6OGEyWPaozqXpNH4/8/lxYwFvvqh6+nq84/ObEHCwX2bdPDYYmdAX2QIxzohbHr7vioDUn52prxD7eXytTzDWtZBBpoS7DuvZkPAr9YFF504RB/+k8XvhQGyaF1fCjoFZTweuvkCuuLUTtyiPNDL7rkimRPDdr8msE44ffwgvfY519Bx4bBd9OSOy0/SOz7jJvq+X/r3NeXw/k165b1X7jCWDbx7TMzQJoj7TAohPnmk3cZf+vjILRfSRScO0Tv+we+a/C+/50rat8Nnl3VrRw5u0qvuu4oe39pieZTzewfwWiW8nK31xKGl6RzLLAf3bdLBfavdid/cGOiCc3Ly6RXPvALSS6G1g/s2dnVdIzjBvniijfGpqC5WcBL+yjMup8efGOnOy8+lG2dvMtHi87DAiq/GO9rgCerT+pj+Ykemju3A3tuJTwkNnn/aizxVZcabkwGNyziOpL8tyX97CuZkO3MR3CZwHQqGzShujc7RYNyXY1QYDMiR8eydf+wgvemRG2R7CUW7d/xbJITFdJ3CdtJYS3QjMw7Y9gzWWWbNdg5MfIv4dJ4I3vTIDfV78esE7LWe6TzcJi4RiPB40J7nzMPnBRewNY7wAq+dBo0BIpmI/2ff7QZcd/oYnQ7oOHNj/Z1XnEt/5emXrxw3BO5n/0LeEsn3MweOH9pvPlVZzrhfeeoovfa5ywsFl0jv39ygb3rxrTuKIwfhiEPpQdkz6YhfBm699AR94d1X0KUnD9Opo3K9PHLLhfTgTRfsEmYLOLhvk979WU8R71qIsn1XYJWfE141vFevdYdArjx1lC7OnIPfYaZ7cP/C9Drn8D46v3xPfiT6ls++zUTx8WnY7XU9Cckda08mRtPw4I0X0CO3XEhf8/D1dGHSKYIAyYktHhkMcIijiXJwNpx+RRCFbeD86u/gLCcq131WOpnWcxtv6AkPGtJ5P/q++FMmPTASVcT4nAzKgC2LR4w7yXJZqFUko/W82qNWwxvsaYJ21K4XyrfWIw40TnRu8YCGSk0LDHXDsHNryTQC6kTDEuEw1ykM29kB+X/4wGaqHRvV0jnGAFa3E9/mvBjgvG5NQ4vfy6eqa6cvTEOAdhny4fGZ/SOu9Kxfoda4//hrn0kvffplizQw1iONK5UJ24G5pHAmG4cRfPR9L6RLTx4W785UoyvjMJUv14fLOuFX3vYgPfv688+YNbFXgNO9/hzwd33BHfRVz7tu+Wb6+M9OwEff90K64PjCCH3alefRb7zz4ckyT5YlkT3+SkRCgO6249rdOFxCZOBnbLwnRlpbRM7eM+K5gbRDbepd4t52U7ubCYcCTEsis+qzjd4t4j2euVXCdpXAONy3t06/wDoVtewN6NHlOGknlBqxOo7IwZJACt2ym4WeMu2ySOtUWif8wBc/PdzRrBE5yfrM+CuHGodrLzhKP/Lqu5M1+/ATr30mvfC2i007KMJo8fTHdnERTdzeD3zx07eBbQ7CTzQlCGuOY2bdwJ0pwzDQD7Jx/OJ7r6T/98ufxnCzyP2tVz6dDu7bfdUi4lPRpa8ouu1MgzLunMb/zmvuoc+587LdQmkSsvqD0fXPTN8EEZFYG+gY3JkGXsQilrtnbj84lPPMP/qau+nmixefUdQ8LIIf3AE5wUHj82QZ5wzoe3iIsJ4fwW6s9x/7knvoxXdc4qbPta8KvPmRG+jrHrupH7EE7Lkz8e2sRi52GF1yUCDzrWmUI9rNW4UxaHbpg51T2A5XsHNNrgTkmVm081PS1JPlCT1mqp3y9zOuOtcaEknTbq4SHjl0UKhbw2tnYRXyJaMUpy5mBHlKGr9XyO5Go/YAnmAnOCNQdmKXtCgnRJhXwM81LiFzI7FeGxwO7tuk595wugddW/+w2HXgf3vtFeCRIbpfL7nrUrpRffda1/XILRduA+NpEKGo5blChrlO3S5yBl5+3mF67Lb2+Z2Hl+N49flH6eITh+niE4sd4LouVVUP3bzecV8lRNEOZ8JFiVPAaVzfZL/rsBw+c9nVxEaKXusP3Hh67Z/2mwsPr5nH9MJdV56kI86nBAdqFzq2gV+8ec4Np2n/5kA/83t/yhzqZ7D3hMG915yi//YXf0n3X7+QUdecf5TQPYPeej4T5nAgX7c7k+6EiOCGC4/R/s2lEc9oRx/rPZOOyxRWc+cV59Z3G8NA155e3Gk0jgsee/m5R+rfCK4+/2ioK151/lE678ATfoZtwJnJGXcADu3fTH03NTofGyvFVjlIfd4uE2Y5DCL8Q+DpYNMDO+EYPHqwfSpHtD0blzyj00P89778Ppivx0MKc87kvbLZnWVvcz4DEkVSqJziL3SBWS+EIUqRoa5xoak1VNpjNOtcNrgbkDomsIsef3PZpohkWIDmB94ZeiISn94R+Xewi+iivl7IGIo7RV+lD0+55AR978vvMum/+JYHdgaRGTDXiYLWzZmwnj+dIOMUHYbB3SX+sudcux7EPg3hM2+/hD7zdpw2kh+99JpnX01ERO/6qd9bE2brgy+4W15o+c/f8gB98A//i5t//+bGjl82uBfgZ9/43DA9u4mz24EJmxsD/cKbH6Dv+oV/R0TTEX3DsJCNP/Yv/8Ou4L77MW+7BN/w2C30fUBR6YEMH9CT+hvvfHjykzxuXfXs+OLbu9IISkQFJAmseWJtHauCf/C6Z9GX3H/1ZN2ZCyV6cVutjiYbx7vufYp6FIWw3s/+TWTYJg1k7e2sI+c33vkwuwSmGNR+J2DEhog6mXbU3XftKfpXX//wop1l4qH9m6lzbasCvSY8Z4gei8H8YGmQblcDI7iEbv/mQL/+zvbZnX/19Q/TPVefp4uyENVEO7Tz5+S9qI9hmODlGWcZLWh8a4y/YTsHLj15eGU063xd68wFSP9rXABnwYXezZGzMB+2Riv3Ql10B3BaF0T9esGtF9G/9D75dgbC1khnxCWuPQDD6bNlTSTxmdP3KVR2A9M9uxO/2IWf9ymJRmTThvOiQMt9+vhB+jcf/39s/sz0D639QcXfhDtw0zXL/MIrttBGVx1aGH2WQuJS8sSQO3/a2skcXwjbW8O5yVJV9Dmn6y44Rl/76I2ra5TBSGM8zpkxrmHdJJ6L39rh0f6Ojq14OJ0+3m4Cvu2yk/T1j91MF584TBeec5D+zgf+A0S/5/jDyG4srXhuDHT+sYNLgxHjsm7YGIL1okfrDJB/919/mo4fkqJmGIbF5T7LPvDb/K86dZTe9MgN9IF//1+YAjDQq591ddjOK555Zf2e9s6DP9DhHRIT83P6+EG6//rTdGzF4cTDMAia/ZqHrqdLzz0clPDhhguP0dtesJ7zflmY/0nX9vvsDvzq4a8+6yr4Pnuc7yysDhbf2e5wij6JF4TWk173wLV0cqlzbm4MdGoHvh4zBVPyrMA3vugWuufqU2vGZv1gj6yyNPXcTYjWxiUnD9NXP3Q9/cF/sjbcqu8Ny8KeM+Iz50uyO9DwXK3O00mWmQtGWih9y1wVe4AM+t54D2wBY2Zd0BXCzrYWvXldRCzId5PGKiizE1CaFKHGg3x3+vhBev2D162l/dsvO0knDu+fztgB+Nxwbvclyq/h0pOH6Uvuv0aVt2vCnVcQij2Sv3631uDYykL09YIIpezxn0xdPXDjRcfj77qqds49eoC++qHr6T/+2f+kU+WbqwPRu150C/3Qr3zUrWa75/Z7odDSZecepnOXCuJ2hbhQbJZ1TY7fCuCNy09nZuGcQ/vo3KOLPl9wziF63QNnVshzOuosiHo6gzaAnrTwjS9qnzZDw6nfnTp6YOUy6CwUGI2xFKk55x45QJfNdOztNmg9abedjAje9aJb6m+9KcDh5fdcuTMIrRBOHztIN110nD71xFZ9B9d/YNjvhA7ey+PPObSf3vTIDfT+f/YR+h+ffJx++d/9Z6Fnnt2J32Xo/tZ0tt4eHILcbYcwH3JMlMNTnO9U79a9lqKLbsTdAokJytycPvfzghlYBePx2v3Y+x/bfuUBvOMz5gu63OV1fho6I12On6+DMSKDvbWPnAxK2Ozw+esIFyIZxp2BM2WTJULjfS9ZfM/1e37xD9JldhqGgeiX3/q8+ne99TxJtauMoNpJ+J13P7rbKHSDCI5zzl8X+Nj7H6P/53/+5bpROgsKfvMbHtltFD5tQfP8j73/Mfq3f2p3FAvcc80p+pW3Pc9NPwtnwYMHb7qAHrzpAnre/+uX6jsd9eQdA+S/P/b+x+j//h+fWhueqWhGAG9f6so/+kEb8Vlg3fp6gbNGPABXEZ5zVoMTbpCtGCxzb8OOwlG2Y2yUnex1hok043rZLzQGQdijPlowBSWSYbtd+vEveybdcvE50xmTMKgfvJ87cSQqutlc5Csh851mhrlMLiD2f/gV99G1Fxxb4rV496LbL6anXnaiq81FO9Pp8jbVRoctEkKVAe92GiI+gCCar+wdAeuAqVb+19fcQ8fP0Nup1wlnd4Lz0DNUnow8k5xDn66wiIKzkWZnYf1Q9LifeO29dPsMOXoW1gfR51SfbPCjr8Gfo019gYh2doNhJW2x3cHd4Gd7TzMKYADGU3SxUnonfoJSnnXdqXomNDrTyXeSu8Jot8kcMuHnq4C7rlh86u07f/7f1XfxoliGsfQuxHoxYJAlUc0919hzSpOLOFFxOxrBw992h8ELeizro1Pd1efkYR7l7OKf/Chw8sgBOnnkQL7dWmfZHY1x8j4z+PDNF9BFJw6JtM+581K6/bKTaVxWBTepsGobkfPkUgQ0b9T9IyJ69vXn199b40ibrI8o/04BWgXRykBRRd1HHM5CCNGYoblBFwaeKVEqT3roHMcny6e0nkzA+eO9156iq84/SnezC0TP0vqZAY8+5SK6mOkYuynXtgvlU39EVBUU3p+t5UW3j4MvriHuvdN3M/SoUE+97AQd2r/Ygb3p4nPo859x+Zqw8uGsEe9AzwVY24Uf+5Jn1t+hEsjOvWtlBSkv3Zevld04lf/E4f10aP+8SwBTzS4bvO+68+m+686n7/wFZsSvtJ3F8+C+zXrJiQvBAZfeeYc7ptnQcmdOdgoyN0/nz5+2394NpMhhNNcw1RfAyfPGHBesPpZyP/jKZ5i0r3vhzbNw2i789BueE6YLR0Xtv+QDZ5pxyOd3qn8H923QOezM7FT+dUPGaJxtnJxZ03RGQ+Z+mky5J5kP7IyFkQjSr76n5EzjRZ9uwPnjZ995aarMk80R/OkA+k6R3ZZrK4PlQuf9Obhvg04c3k//6S+fMMcADx/YR8cO7ZxZemDfBh1xPjW+uAgyLv9TX/ns+vsZV51Hz7jKfmFn3bDnjPhVnntPffYHhKJHSl0KPxC2kYvsH9I3f3NcfvaNz6WjDqGvAgwOzhh4SnFvOP1L7rqUHr31Inrp9//aBF7bjWCAlU4CDPfcFibzAUWGZMYlc6588W7xFMxyBZ39rW94hM5bXooWnc6oXuGthfPgt9iZzN26bbQXPOcEkT+U/v1++JzamQJfcPcV9Fl35JTR3YD+TYPpIw5noR/QvTGc6JsReRZWBb+lzrN7csI7/3oWdh6QLrrbx8TOwqc3vPK+q+ivPONyeua3/oJJe8PD19PjWyPd+o0/U9+dOnbQ8JZVwQtvu5iec728ELfYdfpC73XhsF3Yc0b8eUcP0Ld89q0wLfWZss72+M5iJizkohOH6C3PlzcFD+rJN4nb7poPcJciDNtfFHj45gvp0pOHd+W22EF1OmtQRx7+8m7f5gadOLyxTQxV3emzFdNZ9A7y1z92M92wS+FV150+Rl/3wpuWt3BOQ+8Fi+2CqZlHIxwoBrxsg+GyRPShmy6kS04cpq/7h79Lw7Ao9+efepyIiL74vivp8ScaQmfaDdwjsN7Dc+8sq/mGvFNs3X3une/9a1i7c2EdUX4DYXo9C30wUlPAws+Zwdvpz8YYzwHEcznwV4X/8Itoz4Z27zxcevKw+BTbW55/A114zqGgxFk4C9uD/ZsbtH+zyXCuY3gRv5y3rBI2NwbxuWsi+YlnvlG7Lhy2C2eGNrSDcGj/Jr3imVeKd9ndtlGJ99RGfBCWjeDYwX30lc+7frLOQRl6UVTA3N3EGy86ng7B2g50o4cUBE8DGIamHHS006vIbVcBETugbFUONNCX3H+N+I72TsK5Rw/Qlz3n2tn9y66XgTHOVRsv5x87QNctL8krsLnk1IXG5SWCy+Md155Pz2GfLTsTP1MzcPome0wAlonqY9E6A62/z5efd4RuXuHlkDsNHk1P8TSPJ/MLE58MUSBnApxzaB8dPyQVsesuOEZXn390sqxwgqPd+7MwG+A9QkMJU23Hp87C7sHxQ/vFp9i+8nnX09E9eInoWdg9eNsLbnKOQ+0Ob+DHEJ8M8mDPGfEIwl3p0PCYnmJ0fn0uNEOn74x1b+vDDlPF3FsrM1EIUzDbOI0uxRun8xRAXU8d09gFiOYpF8Xih9OjXfJVwT3XnKKff9Nz69/epz9Kq4f2b+7Y50F2FLiBr5OCOwlWDXxsX3nfVfTdX3jnmltcDyA+vF3Fg19aemZygTMPfufdj1aDvYzdt3z2bfSGh2+A+bnja2gvTb6tLfPqLCQBro2y+074FuczVOydhbNwFmaCdzfGkwGeLMcpzxrx24DM9I7jaD9PtU0H06ufdTX9yKvvnlQXo2+mR7DbRuSUIjx3+Hq7taph6J0HHs5zpkDWcaS/5jAE+YWDKxH6uk54Mu4I1R3zCbqyBrs/zsKIfBIIsN2EL73/GvqhV9lLDwtkjyyIMk9COnyyAOZhIJx+me34oX3097/83nWj9WkJ6E6Clz7tcvqHX/EswXu4w/vsJXdn4Sx8esHWOE5ECS+fZ+Da/6vPuop+5NX4c3lnEpyNm2EQ7XRH+SNl94W3XUynjx+kv/ebf7Jd9Cqhnzp2kE6p8Or4LKw0rKbgTLrYJHsJTuom4m1js2xr9HGJbrScMlDbJW8D3XH5SXralefu+Oc1MtBj24lwelWejyP/bNgqbcfsd+WfLF5XDrdcfA590TOvpJ/+1x+v70KBWfgAvC9iAes4zvDpCucfO+gec+FjqJfwVBRPL78+CzHEXwLReduLjY2Bnr4Ltw1/OgCSkSeO7K/nT0vS/s0NevqV5y7esfxPvfzk+pE8C2fhLKwVXnLnZXS7o4NNqba7sZnI+Q6ys85EOGvEO1ANjoRxHMGX3H8NERF9zd/9UH23qp3kgb9bIb3vtleMt48wSdm12+zC1Dfk9RiN6jkNPoKbGwP95OufRUREz73htJtvp8HDeGq+MjTKw7lXCfwTIBGcd/QAHV7jZxTXAU+78lx62pXn0k//648bB8nid3D8Iaj3yebM+HQCGU5/dh7WASI6iB/XohLufRZWAR79jtR4zIF9G/T3X3cffeNP/WuR56eW8u8snIWz8OSFr3k4vt8L6S01bRf0kCcj3zlrxNOCWD78rufT//fjn6jvTAgq+WeyOWR2TtFnu2L8urJvu/xu6/BzzpruJMoj+MQfn3eP+cjX0dcBzjxYRUBAuAPMx2/7Tbng0dHPvvE5Tyoj/sPvej58P6jfKJJlAMwsc5P3WUhAeBN6ropIsTkL/ZAZxjX4ws+CB2CXnhv2Z+EsnIVPfxCXOYP0s9wgB2fPxNPCgDhxZH/3J+YiIovk0a2XnHA/czcXIgMxCu1EsNtn4jlwwd5CfpGRv3w6/XvL828wRtrUTpeXulA45LuLThyir3thfJN3NPbvftFT6DNuvZiIzpzxf4Pyom73OAM6ZlDqPLBvg97y/BvMGGkc1gXHD+2nfZtPHnaoP4tSQNys6sxXTF5PjhtZz1Q4cWQ/vfUFN05ndOCsD2X1EMqGQeY5C+sHfOndWaX9LJyFs9DgTNGDz3R48mitOwzeboj8ZFYQroo+g7Z8nj5+0Hzmbg5sR/HQZeUntrZR8boAdDazY1WSvvJ516/USNMOgCMH9nV+ik2W/4zbLqYbl9+CP1N4F7/dOduv7Ncc2mfMFu/2bWzUTyvyfN4N03Ng6pKVJyt4SrH+LZx5Kr84EjHI51nIw8H/f3t3Ht5Ulf8P/H2btulGUuheukKllq1QgVIQoUAtAg5LkcUqxYrzAyooAwqoCFQB0XGBYVBUoI6DiBuobIqFMuoUQUaQpaKMMMUvm7JVZG/P74+SNDe5SdOSPe/X8/SB3Hty8rm5yc393HPuOb4qTOiVUn9BM2ovvvCeeHvTfWdkPVWcPbqmB+kQH4qEZkFm1xt/tM2NWE9Enkl+ziH/8qfFaBCpcf370V0Bu9MDjT5pcvSPjvXTyOnuL1ZcafaJui+VMxId4ym9lLo31rUy2j8eiy9R3wB15pZb253em85mFBJGe269JybxgOF91LWE7JFJabPTIFoatJEax0IDsEW8J942jN9Fxc+3ME3qqfH+np9hdp3umGP4m8/rJkTexdItshsf6eHASNwbk3hYdx+7Eku/9/b4UTI+qbPl+Ya8h4ENK24kk54C9ZW3OBBdw3fGolEd4W+m5d5Sq4Hha+kHSvKQE5SGJB6NvcfJnqPxvzG6E4L8626p+ORh9xvExFpKybili5V1M3PU7sMNk3ogJTLEvkGSIlc4/roraw4fhmVkF70kQHBueLvb9OgdiNYGyJb9JacVLl6tdlJEROQIxgPH6c9JnBGMh2B3+nroP1wKU2A5qsXUfMJoWMZ8LNa26EgS0CW5mcu0BGcmN7OqhVZp+242GWweGoiIJnXdebok1001ZO1UcfWUQmay+0xfJBuExKjV92Yo3RJhr49ffLMg2ZQh7eNC7fNCTtJF4ftifoRo5XEzdPfSt47VwN+XPw+Oxinmbo7yXPC13w197xMYvse1/7ZrrsUD3ZNuJPN8423N8PczJTIEIWp5+1FYiBrxFrrfE5H7M5zCTXYxlYfcRuNZGmrngwVgtoupORZb4pVOJhoYFwA0CfBFsH/tD571H3TlDZAk8y3auqT3vf+X1bAA7UQCsNpMLJZ2j+59r7GyRcXaVnrD98XinOKyVh6FiwsGBcxtn6vSbbOvj4/RcoP7ro3HkKjnQG38PnpKrwVnkH1GLRx/6juM8Pf05kmSZPJZ1h0P5PtGXoj3Bt8cc8cP49814/e4Y0JTzLgrrfYilp1i82aucl5BRORJ2J0e9QzkZrDOZDAoC89TOploTAt3+Yw+CLJi6iuLm2Dly7riyYv+xFfhDVUaKM3cYyUCQpZo752tPG2XclyW1im3pFXX1D+wWkNicIa9s+9EkwD5yOiGXbcbmoTXJZaSwlKyhvxCSd0FyYYcn3jtxH4sf5rl45fo9sve2XfCz41mS3AVli/w3vjXwkFKaeYRIiKyH1fp/euOvD6JnzukLVIimzTquQ0deKgxo74bdjuz/ukNHwDOZU/iFXI7a7rKW1dGvk+Mk1Ozz7Oytcy4yMTetyDAzwfrvj9u9jnWxuBoNTemAFKKTyhMS6bY6m5U6pURHZDZopmsvMt+Dl2c0rHIZAwNg0EEzX09mMTYnuUZG+SPnxyQhihNgMseB1ydVcd9mP8tNbydgYiI7OOl4R3QrrlW/3haP8tTNJMyr0/i8zOVp3oz21taaVQcpXJKddrx5MC6eeIVXt8F70tRnJ7PyhHhdeUimqjRtrnG4jbVWJhL25K0GA2uVSv319eF2TIiWH//ta77bFbLMNPybpK1to3VIsZoMCKd2oshlsZkUH48uGNzk2UcHb3hlD5Clj5WStPJ6T6HbWI1bAG2McULLMaLbrz/vVIj7R+QBzNzI5lJoYZcWCEiItsa0D5G9nh8r5ZOisS9eX0Sb8jwx7tubmXzoycqlQdqp07ZffScHeK7+cHrjNWYGQfAeMo3h1MYSVuf6Bk9NlymSyY7JjTFuok9MGTJ12ZforbVseHvW71zl0tA6ZReDa7XlT19d2uz62rq67qt+48b39bhdgwuUNV9X8zffqLzWC6vhtsLk0P7s3o8GwujInM3ERGRO2ASb0B3AlBTT8uidXUpj5J7M8w9/bNH77D4WpYS1RqDOF2qG6HlOeNk6hvZ3GzXYTu0+ioNjGTpfXWThniLLA0GJYSQ3bLw2aN3YMfh0wr7UGnQL2osXZdhpc+3j2R6fOL7bh+lU3oi4cao24rjpDg4Hk+XHqfFF3+R/x7W9Tap/zO+7bFeiGyi3OOIiIjIlbDfpILhneKQfWtEveWUTsCE0b86/dtFIzTIPvc5pkY3kd3vakwxTv0FC9c+eTdufa/9v/mYG3JSfG+XBNyeEt6YsGR63FJXh/E9xT1uCbcYb0pkCEZnKd/S4coMtxmQJ+GG6wq6JSGzRdiNMrWfVSW6tywzOQwF3ZJsHq+nM/7eZ7UIw/1ZSUaFdGWZOjqCgEDLiBD97Qm8UGJ/viqfese4sXRPfGJYMAL96x9IloiIyNnYEq/gge7J+v/b6nx3Sf5tN12HtQl6QwT6qWpb5m6yHluqvVdd6T5SCy3aNy5GNGR/PXRHiwbHpuTtBzP1/28a5I/r1UK2bv+x8ybP0cWZHB6M4kFtbRKHI739YCa++uk3AEB4iBqaQD/Zuk37agfvm9TnFqvq070fWS3DFMcOIPOiNGqTeZe7pYSjW0o4/rblJ8XnmIxO70oHAA9lqxlL6OZEGB2viIiI3BGT+AYw7o5nOam0dzT1v4au5UcWptGTuiQ3w745uRj1xjcuc8+mQN3tDIZTZunXi7pytWUMn+3cjXhyQJrJfrF2znp3o+vFsWxMJ6gkCYtKlRNGHRf5eHmcD8Z1s2owOtkYHi512c4zHCjOtbhef9xSGriT+8Nh/vFgF/j6SHjhs4PODoWIiKjR2J3eSg1PcG1/UqbcOm30qhZeVrElX5IQ5O/rUk1xr+ZnoFeq/HaGkV3iMfvuNrJl9hh34Gb5qXzg7yv/WiVHBOP5Ye31j+cPbYdYbaCjQ7O56hvvv9pXBV+TJLJhwz+zRbLxAvxUUFmYv9L04iPnibeHIH+D6UAV32OF45W9gyKTW7IC/JSOV0RERO6FLfEGlO4PNx7gzrBE3bRYplOVOaYl3mBQOks5k5Wniq6SR/VrWzf1hC6kVlFN0Cqq9l5Hc+9trDYATQLkH2kJzk9QQtS+GN4pXv94VJcEJ0ZjOxEharSP09Zf8AYm6s5l+O5zVziexbE6nX2Q8kJB/ir4qiT4WrgARkRE5KqYxBtQTuJNyxknI846/6odoEcei36AO5jrtqn713h0atdk1dRlN/x7Rh+TMrUzDdg2JqrVtrkWnzx8u7PDoAYyPC7U3a7iqkcA91TfzBe6VbyY4jwHivsBAA7N6+/kSIiIiBqOfcoM1Cicx1qcm10/dY3zEvu6pL1hZ4Mqxe1yrzNKa/KO2inO6rardEpPO0ZElj6H7vXp8iylU3rKjlEuNZ2khzJ+j5WnmDMd84OIiIioPkziDbQID8YD3ZNky6zppt47LRL5mTe6SFsYvMgW+qZF1T1o5Gvc1zUBSeHBsmXudBIpFP5nqaxh8tIyIsQeIdENlqY6JOex9LnPaR3lVt9/d2H8HYgJDcDIzvGKZW6JCkGhwawoZBtDM5ojLEQNwL1+44iIiOrDJN5AfLMgzDIaPE02sLuZ52WnRuK+rvK5vgP97DPX7JsFnRSX604GtYF+iDEaNM246/yzg9shShNgl/hsTal3hK7rr+6kzFKrYo3CeAVkP4a9U8j5JIX/Nwv2R6RGrV/+xmjlYwo1ntLtCeEhajyX117xdyQxLBhP393a/oF5mZeGd4D2xnRyIWpfkzFTiIiI3BWT+HpIkoQfnulnZp3557WL05p9nq0oDbKXn5mID8Zn1S5rQEJVXSPgigP2Vitk8fr7eK14vuA98Q4lmYwFbbCOU5y5hKLsFCwr6OzsMDyacQ8gcr7uKWHY+WRfZ4dBRERkE7wsXQ8JtVPSNEZjn9cQxieKPj4S1D4qWYqkn0/dQj2z/9QGzYL9bB3eTQv2V2FBXjvZMgnAvCHtkNAsCC8NT0dpxSmzFypm/6kNQgNdb7s8lQ9b4l2W7lCh8pFMpqSL1Kjx13vSnRCVZxKCY0C4GkmSHPKbTERE5AhM4uuhGxRNggQh6k9OnNX4ojiHvH7QJIO7yM3E3yW5mV3iulm+Kh+M6Fw3JVvnpKaI1gagb+vasQGGZsSh9IdTZp/fOck1t8sTRTRRWzxJNvw8Gn5eg/15Ym0v9bUG69aqfVUYdluc/QPyEgL138bTPDQQIWr+BBMREVHD8QyiHroTsRohrOqWbTyvvD1ZmhbKcIqjumnl3L9r+fvjupksU0kSfNx9wzyAYVdVS9e6jFsp9xfb97YTqsUR6R1HJZn2djD29fTeDoqGiIiIPA2TeCvppioTMJ/Mf/l4NmJDA5VX2olk9K/SOl2uL+qbvNhNPTO4LWoM7p3/12PZToyGADPTaem72nOwQXvi59/5puam4ur1GrPrDXtIcH8RERFRQzGJt2BQh1j43RjtrbYVW0LNjVbEge1jTBKV+GZBDo3P2tuOmwT4Ii+jtqusJ+ZOWqN73hPCHLsfyJTSwHX6i0lwbI8Vb2Pu88+33HGaBFg/DgePV0RERNRQLjgeuetYOLKjvktkzY3sPbFZEEKD/LH43gyXOCm2Zl7uAD8VXhyeDg9tiCc3UXdrimdeTHJVlsbx4PGAiIiIyP2wJd5KuvvJNzzSA743EvsAPxV+fPYu58VkxSB7hvHVCMHkiRyi/u70/CQ6At9l18OZG4iIiOhm2a0lfu7cuejWrRuCgoIQGhqqWEaSJJO/d999V1amrKwMGRkZUKvVSElJQUlJib1CtuiutjFYVtAZfiofWQLi7+u8zgxvFnTCXW1jAJgfnd4wvto50+vKvcgppchOuqeEY8UY+VzkuoHVBrSPwev33+aMsLwO80UiIiIiz2O3lvirV6/innvuQVZWFpYtW2a23IoVK9CvX93o1IYJ/+HDhzFgwACMGzcOK1euRGlpKcaOHYuYmBjk5ubaK3RF0doARGsDHPqa9emeEm52XW6bKCQa3WuZHh+KGINtyOOUUmQnzYL9kX1rpP5xRBO1fkDIGG0gYrSOHQDSWxkOIsjOD0RERESewW5J/Jw5cwCg3pbz0NBQREdHK6577bXXkJycjBdffBEAkJaWhq+++govv/yyw5N4d7P0/k4my+7rmuiESIjk08+R49TXEs9p5xzPT1U7QCoRERFRYzl9YLuioiKEh4ejS5cuWL58uWzu8/LycvTtKz/5z83NRXl5ucU6r1y5gqqqKtmfN/hqGqcqIqI6tYNZ1ibqTNidx/DYvGBYezw/jLcyERERUeM5dWC74uJi9O7dG0FBQfj8888xYcIEXLhwAZMmTQIAnDhxAlFRUbLnREVFoaqqCpcuXUJgoHKX3Pnz5+t7AniTuKacqoiI6ky5sxW6tmimuO4vOa3QJlbj4Ii8k+GxWdOA6eeIiIiIlDSoJX769OmKg9EZ/v3www9W1zdz5kx0794dHTt2xLRp0/D444/jhRdeaPBGGJsxYwbOnz+v/zt69OhN10lE5G7G9miBNrFaxXWT+tyCpPBgB0dERERERDerQS3xU6ZMwZgxYyyWadGiRaODyczMxDPPPIMrV65ArVYjOjoaJ0+elJU5efIkNBqN2VZ4AFCr1VCr1Y2Og4iIiIiIiMgVNSiJj4iIQEREhL1iwe7du9G0aVN9Ap6VlYUNGzbIymzevBlZWVl2i4GIyBMJTjhHRERE5BHsdk98ZWUlzpw5g8rKSlRXV2P37t0AgJSUFISEhODTTz/FyZMn0bVrVwQEBGDz5s2YN28epk6dqq9j3LhxWLx4MR5//HEUFhZiy5YteO+997B+/Xp7hU1E5JFUkoS4ppzaj4iIiMjdScJwOHgbGjNmDN566y2T5Vu3bkWvXr2wadMmzJgxA4cOHYIQAikpKRg/fjweeugh+PjU3apfVlaGyZMn48CBA4iLi8PMmTPr7dJvrKqqClqtFufPn4dGw4GciIiIiIiIyL7slYfaLYl3JUziiYiIiIiIyJHslYc6fZ54IiIiIiIiIrIOk3giIiIiIiIiN8EknoiIiIiIiMhNMIknIiIiIiIichNM4omIiIiIiIjcBJN4IiIiIiIiIjfBJJ6IiIiIiIjITTCJJyIiIiIiInITTOKJiIiIiIiI3ASTeCIiIiIiIiI3wSSeiIiIiIiIyE0wiSciIiIiIiJyE0ziiYiIiIiIiNwEk3giIiIiIiIiN8EknoiIiIiIiMhNMIknIiIiIiIichNM4omIiIiIiIjcBJN4IiIiIiIiIjfh6+wAHEEIAQCoqqpyciRERERERETkDXT5py4ftRWvSOJPnz4NAIiPj3dyJERERERERORNjh07Bq1Wa7P6vCKJb9asGQCgsrKy0W9e586dsXPnTluG5TH132zdVVVViI+Px9GjR6HRaGxevyXu/L7bs/769oktcL/eXN2N3Ufe8N64Qv3G+8edYnd0/Y6K3R7HNXd+3+1df2Pqbsg+crXYXaV+W9ftSccyT4zdVsc1T3xvXKX+X375BW3atEFwcLANo/KSJN7Hp/bWf61W2+gPuEqlslsy4+7126pujUajWI87xO6p9ZvbJ7bA/Wqbuhu6j7zpvXGF+nX7xx1jd1T9jo7dlsc1d37f7V3/zdRtzT5y1didXb+96vaEY5knx36zxzVPfm+cXb/uubp81FY4sJ2VioqKWL8T6rZ3/e4cuyPqtyfuV8fX7e71M3bPrJ+xe2b9jN059btz7Paun7F7Zv3uHPvNkISt77J3QVVVVdBqtTh//rxdr9RQ43D/uB7uE9fHfeTauH9cD/eJ6+M+cj3cJ66N+8f1/fLLL/pbHuLi4mxWr1e0xKvVasyaNQtqtdrZoZAC7h/Xw33i+riPXBv3j+vhPnF93Eeuh/vEtXH/uD6NRoOePXva/CKLV7TEExEREREREXkCr2iJJyIiIiIiIvIETOKJiIiIiIiI3ASTeCIiIiIiIiI3wSSeiKwmSRLWrl3r7DCIiIiIiNySLc6nmcST3Y0ZMwaDBw92dhikgPvG9ZSXl0OlUmHAgAHODoUU/Prrrxg/fjwSEhKgVqsRHR2N3NxcfP31184OzesdPXoUhYWFiI2Nhb+/PxITE/HII4/g9OnTVj2/rKwMkiTh3Llz9g3Ui4wZMwaSJOG5556TLV+7di0kSXJSVKTbL5Ikwc/PD1FRUcjJycHy5ctRU1Pj7PDIAM/TXJfh98jw79ChQw55fSbxREQuZNmyZZg4cSL+9a9/4dixY84Oh4zk5eXhu+++w1tvvYUff/wRn3zyCXr16mV1okj28fPPP6NTp0746aefsGrVKhw6dAivvfYaSktLkZWVhTNnzjg7RK8VEBCABQsW4OzZs84OhQz069cPx48fx5EjR7Bx40ZkZ2fjkUcewcCBA3H9+nVnh0fkFnTfI8O/5ORkh7w2k3hyqKSkJLzyyiuyZR06dMDs2bP1jyVJwptvvokhQ4YgKCgIt9xyCz755BPHBuqFrNk3ZF8XLlzA6tWrMX78eAwYMAAlJSX6dSUlJQgNDZWVV2rNevbZZxEZGYkmTZpg7NixmD59Ojp06GD/4L3AuXPn8OWXX2LBggXIzs5GYmIiunTpghkzZuBPf/qTvszYsWMREREBjUaD3r17Y8+ePfo6Zs+ejQ4dOmDp0qWIj49HUFAQhg8fjvPnzztrszxCUVER/P398fnnn6Nnz55ISEjAXXfdhS+++AL/93//hyeffBIAcOXKFUybNg3x8fFQq9VISUnBsmXLcOTIEWRnZwMAmjZtCkmSMGbMGCdukefo27cvoqOjMX/+fLNlPvzwQ7Rp0wZqtRpJSUl48cUX9eueeOIJZGZmmjwnPT0dxcXFdonZG+h6EjVv3hwZGRl44okn8PHHH2Pjxo363576jmcA8Omnn6Jz584ICAhAeHg4hgwZ4oSt8Q6bNm3C7bffjtDQUISFhWHgwIH473//q19/5MgRSJKEjz76CNnZ2QgKCkJ6ejrKy8udGLVn032PDP9UKhU+/vhjZGRkICAgAC1atMCcOXNMLo4dP34cd911FwIDA9GiRQt88MEHDXptJvHkkubMmYPhw4fj+++/R//+/ZGfn8+WFPJ47733Hm699Vakpqbivvvuw/LlyyGEsPr5K1euxNy5c7FgwQLs2rULCQkJePXVV+0YsXcJCQlBSEgI1q5diytXriiWueeee3Dq1Cls3LgRu3btQkZGBvr06SM7fh06dAjvvfcePv30U2zatAnfffcdJkyY4KjN8DhnzpzBZ599hgkTJiAwMFC2Ljo6Gvn5+Vi9ejWEEBg9ejRWrVqFRYsWoaKiAkuXLkVISAji4+Px4YcfAgAOHjyI48ePY+HChc7YHI+jUqkwb948/O1vf8Mvv/xisn7Xrl0YPnw4Ro4cib1792L27NmYOXOmPpHMz8/Hjh07ZMnK/v378f333+Pee+911GZ4hd69eyM9PR0fffQRgPqPZ+vXr8eQIUPQv39/fPfddygtLUWXLl2cuQke7Y8//sBf/vIXfPvttygtLYWPjw+GDBlicgvEk08+ialTp2L37t1o1aoVRo0axd4VDvTll19i9OjReOSRR3DgwAEsXboUJSUlmDt3rqzczJkzkZeXhz179iA/Px8jR45ERUWF9S8kiOysoKBADBo0SAghRGJionj55Zdl69PT08WsWbP0jwGIp556Sv/4woULAoDYuHGjA6L1Lo3ZN2vWrHFYfN6mW7du4pVXXhFCCHHt2jURHh4utm7dKoQQYsWKFUKr1crKr1mzRhgexjMzM0VRUZGsTPfu3UV6ero9w/YqH3zwgWjatKkICAgQ3bp1EzNmzBB79uwRQgjx5ZdfCo1GIy5fvix7TsuWLcXSpUuFEELMmjVLqFQq8csvv+jXb9y4Ufj4+Ijjx487bkM8yPbt2y0em1566SUBQHzzzTcCgNi8ebNiua1btwoA4uzZs/YL1ssY/sZ07dpVFBYWCiHkx657771X5OTkyJ732GOPidatW+sfp6eni+LiYv3jGTNmiMzMTDtH77kM94uxESNGiLS0NKuOZ1lZWSI/P9/e4Xo1S/vq119/FQDE3r17hRBCHD58WAAQb775pr7M/v37BQBRUVHhiHC9SkFBgVCpVCI4OFj/N2zYMNGnTx8xb948Wdm3335bxMTE6B8DEOPGjZOVyczMFOPHj7f69dkSTy6pffv2+v8HBwdDo9Hg1KlTToyIyL4OHjyIHTt2YNSoUQAAX19fjBgxAsuWLWtQHcatIGwVsa28vDwcO3YMn3zyCfr164eysjJkZGSgpKQEe/bswYULFxAWFqZvtQ8JCcHhw4dlrYgJCQlo3ry5/nFWVhZqampw8OBBZ2ySxxD19Fo5cuQIVCoVevbs6aCIyNCCBQvw1ltvmbQ0VVRUoHv37rJl3bt3x08//YTq6moAta3x77zzDoDa/bxq1Srk5+c7JnAvI4SAJElWHc92796NPn36ODli7/HTTz9h1KhRaNGiBTQaDZKSkgAAlZWVsnKG59AxMTEAwHNoO8nOzsbu3bv1f4sWLcKePXtQXFws+9489NBDOH78OC5evKh/blZWlqyurKysBrXE+9psK4is4OPjY3Kide3aNZNyfn5+sseSJHHEVDuzdt+QfSxbtgzXr19HbGysfpkQAmq1GosXL+b+cSEBAQHIyclBTk4OZs6cibFjx2LWrFmYMGECYmJiUFZWZvIc4/EMyHZSUlIgSRIqKioU78etqKhA06ZNTbrak2PdcccdyM3NxYwZMxo83sCoUaMwbdo0/Oc//8GlS5dw9OhRjBgxwj6BermKigokJyfjwoUL9R7P+J1yrLvvvhuJiYl44403EBsbi5qaGrRt2xZXr16VlTM8h9aNm8NzaPsIDg5GSkqKbNmFCxcwZ84cDB061KR8QECAzV6bSTw5VEREBI4fP65/XFVVhcOHDzsxItLhvnGe69ev4x//+AdefPFF3HnnnbJ1gwcPxqpVq5CYmIjff/8df/zxB4KDgwHUtoIYSk1Nxc6dOzF69Gj9sp07d9o9fm/XunVrrF27FhkZGThx4gR8fX31LSRKKisrcezYMf0Fm+3bt8PHxwepqakOitizhIWFIScnB0uWLMHkyZNlicWJEyewcuVKjB49Gu3atUNNTQ22bduGvn37mtTj7+8PAPrWX7K95557Dh06dJB91tPS0kymaPz666/RqlUrqFQqAEBcXBx69uyJlStX4tKlS8jJyUFkZKRDY/cGW7Zswd69ezF58mTExcXVezxr3749SktL8cADDzg2UC90+vRpHDx4EG+88QZ69OgBAPjqq6+cHBUpycjIwMGDB02Se2Pbt2+Xna9t374dHTt2tPp1mMSTQ/Xu3RslJSW4++67ERoaiqefflr/I03OxX3jPOvWrcPZs2fx4IMPQqvVytbl5eVh2bJl+OyzzxAUFIQnnngCkyZNwjfffCMbvR4AJk6ciIceegidOnVCt27dsHr1anz//fdo0aKFA7fGc50+fRr33HMPCgsL0b59ezRp0gTffvstnn/+eQwaNAh9+/ZFVlYWBg8ejOeffx6tWrXCsWPH9IM/derUCUDtlfiCggL89a9/RVVVFSZNmoThw4cjOjrayVvovhYvXoxu3bohNzcXzz77LJKTk7F//3489thjaN68OebOnYtmzZqhoKAAhYWFWLRoEdLT0/G///0Pp06dwvDhw5GYmAhJkrBu3Tr0798fgYGBCAkJcfameZR27dohPz8fixYt0i+bMmUKOnfujGeeeQYjRoxAeXk5Fi9ejCVLlsiem5+fj1mzZuHq1at4+eWXHR26x7ly5QpOnDiB6upqnDx5Eps2bcL8+fMxcOBAjB49Gj4+PvUez2bNmoU+ffqgZcuWGDlyJK5fv44NGzZg2rRpzt48j9O0aVOEhYXh9ddfR0xMDCorKzF9+nRnh0UKnn76aQwcOBAJCQkYNmwYfHx8sGfPHuzbtw/PPvusvtz777+PTp064fbbb8fKlSuxY8eOBt1CyYHtyO7uv/9+kZeXJ4QQ4vz582LEiBFCo9GI+Ph4UVJSYtXgaVqtVqxYscJxQXsJW+wbunkDBw4U/fv3V1ynG4xrz549Ys2aNSIlJUUEBgaKgQMHitdff10YH8aLi4tFeHi4CAkJEYWFhWLSpEmia9eujtgMj3f58mUxffp0kZGRIbRarQgKChKpqaniqaeeEhcvXhRCCFFVVSUmTpwoYmNjhZ+fn4iPjxf5+fmisrJSCFE7sF16erpYsmSJiI2NFQEBAWLYsGHizJkzztw0j3DkyBFRUFAgoqKi9O/9xIkTxW+//aYvc+nSJTF58mQRExMj/P39RUpKili+fLl+fXFxsYiOjhaSJImCggInbIVnURqU6/Dhw8Lf31927Prggw9E69athZ+fn0hISBAvvPCCSV1nz54VarVaBAUFid9//93eoXu0goICAUAAEL6+viIiIkL07dtXLF++XFRXV+vL1Xc8E0KIDz/8UHTo0EH4+/uL8PBwMXToUGdskscyPE/bvHmzSEtLE2q1WrRv316UlZXJzst0A9t99913+uefPXtWANAPkku2Y2nQwU2bNolu3bqJwMBAodFoRJcuXcTrr7+uXw9A/P3vfxc5OTlCrVaLpKQksXr16ga9vnSjIiK76devH1JSUrB48WJnh0JGuG88X05ODqKjo/H22287OxRC7Tzxa9euNbkVgoiIyBjP08gcdqcnuzl79iy+/vprlJWVYdy4cc4Ohwxw33imixcv4rXXXkNubi5UKhVWrVqFL774Aps3b3Z2aERERGQlnqdRfZjEk90UFhZi586dmDJlCgYNGuTscMgA941nkiQJGzZswNy5c3H58mWkpqbiww8/VBzEi4iIiFwTz9OoPuxOT0REREREROQmfJwdABERERERERFZh0k8ERERERERkZtgEk9EREREROQE8+fPR+fOndGkSRNERkZi8ODBOHjwoKzM5cuXUVRUhLCwMISEhCAvLw8nT57Ur9+zZw9GjRqF+Ph4BAYGIi0tDQsXLjR5rbKyMmRkZECtViMlJQUlJSX23jyyEybxRERERERETrBt2zYUFRVh+/bt2Lx5M65du4Y777wTf/zxh77M5MmT8emnn+L999/Htm3bcOzYMQwdOlS/fteuXYiMjMQ///lP7N+/H08++SRmzJghm5ru8OHDGDBgALKzs7F79248+uijGDt2LD777DOHbi/ZBge2IyIiIiIicgG//vorIiMjsW3bNtxxxx04f/48IiIi8M4772DYsGEAgB9++AFpaWkoLy9H165dFespKipCRUUFtmzZAgCYNm0a1q9fj3379unLjBw5EufOncOmTZvsv2FkU2yJJyIiIiIicgHnz58HADRr1gxAbSv7tWvXZNPF3nrrrUhISEB5ebnFenR1AEB5ebnJlLO5ubkW6yDXxXniiYiIiIiInKympgaPPvoounfvjrZt2wIATpw4AX9/f4SGhsrKRkVF4cSJE4r1/Pvf/8bq1auxfv16/bITJ04gKirKpI6qqipcunQJgYGBtt0Ysism8URERERERE5WVFSEffv24auvvmp0Hfv27cOgQYMwa9Ys3HnnnTaMjlwJu9MTERERERE50cMPP4x169Zh69atiIuL0y+Pjo7G1atXce7cOVn5kydPIjo6WrbswIED6NOnD/785z/jqaeekq2Ljo6WjWivq0Oj0bAV3g0xiSciIiIiInICIQQefvhhrFmzBlu2bEFycrJs/W233QY/Pz+Ulpbqlx08eBCVlZXIysrSL9u/fz+ys7NRUFCAuXPnmrxOVlaWrA4A2Lx5s6wOch8cnZ6IiIiIiMgJJkyYgHfeeQcff/wxUlNT9cu1Wq2+hXz8+PHYsGEDSkpKoNFoMHHiRAC1974DtV3oe/fujdzcXLzwwgv6OlQqFSIiIgDUTjHXtm1bFBUVobCwEFu2bMGkSZOwfv165ObmOmpzyUaYxBMRERERETmBJEmKy1esWIExY8YAAC5fvowpU6Zg1apVuHLlCnJzc7FkyRJ9d/rZs2djzpw5JnUkJibiyJEj+sdlZWWYPHkyDhw4gLi4OMycOVP/GuRemMQTERERERERuQneE09ERERERETkJpjEExEREREREbkJJvFEREREREREboJJPBEREREREZGbYBJPRERERERE5CaYxBMRERERERG5CSbxRERERERERG6CSTwREZEXKisrgyRJOHfunLNDISIiogaQhBDC2UEQERGRffXq1QsdOnTAK6+8AgC4evUqzpw5g6ioKEiS5NzgiIiIyGq+zg6AiIiIHM/f3x/R0dHODoOIiIgaiN3piYiIPNyYMWOwbds2LFy4EJIkQZIklJSUyLrTl5SUIDQ0FOvWrUNqaiqCgoIwbNgwXLx4EW+99RaSkpLQtGlTTJo0CdXV1fq6r1y5gqlTp6J58+YIDg5GZmYmysrKnLOhREREXoAt8URERB5u4cKF+PHHH9G2bVsUFxcDAPbv329S7uLFi1i0aBHeffdd/P777xg6dCiGDBmC0NBQbNiwAT///DPy8vLQvXt3jBgxAgDw8MMP48CBA3j33XcRGxuLNWvWoF+/fti7dy9uueUWh24nERGRN2AST0RE5OG0Wi38/f0RFBSk70L/ww8/mJS7du0aXn31VbRs2RIAMGzYMLz99ts4efIkQkJC0Lp1a2RnZ2Pr1q0YMWIEKisrsWLFClRWViI2NhYAMHXqVGzatAkrVqzAvHnzHLeRREREXoJJPBEREQEAgoKC9Ak8AERFRSEpKQkhISGyZadOnQIA7N27F9XV1WjVqpWsnitXriAsLMwxQRMREXkZJvFEREQEAPDz85M9liRJcVlNTQ0A4MKFC1CpVNi1axdUKpWsnGHiT0RERLbDJJ6IiMgL+Pv7ywaks4WOHTuiuroap06dQo8ePWxaNxERESnj6PREREReICkpCd988w2OHDmC3377Td+afjNatWqF/Px8jB49Gh999BEOHz6MHTt2YP78+Vi/fr0NoiYiIiJjTOKJiIi8wNSpU6FSqdC6dWtERESgsrLSJvWuWLECo0ePxpQpU5CamorBgwdj586dSEhIsEn9REREJCcJIYSzgyAiIiIiIiKi+rElnoiIiIiIiMhNMIknIiIiIiIichNM4omIiIiIiIjcBJN4IiIiIiIiIjfBJJ6IiIiIiIjITTCJJyIiIiIiInITTOKJiIiIiIiI3ASTeCIiIiIiIiI3wSSeiIiIiIiIyE0wiSciIiIiIiJyE0ziiYiIiIiIiNwEk3giIiIiIiIiN/H/AacGCIJiISSeAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1200x600 with 1 Axes>"
       ]
@@ -1641,27 +1811,27 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>WaarnemingMetadata.StatuswaardeLijst</th>\n",
-       "      <th>WaarnemingMetadata.BemonsteringshoogteLijst</th>\n",
-       "      <th>WaarnemingMetadata.ReferentievlakLijst</th>\n",
-       "      <th>WaarnemingMetadata.OpdrachtgevendeInstantieLijst</th>\n",
-       "      <th>WaarnemingMetadata.KwaliteitswaardecodeLijst</th>\n",
-       "      <th>AquoMetadata_MessageID</th>\n",
-       "      <th>Parameter_Wat_Omschrijving</th>\n",
-       "      <th>BemonsteringsApparaat.Code</th>\n",
-       "      <th>BemonsteringsApparaat.Omschrijving</th>\n",
-       "      <th>BemonsteringsMethode.Code</th>\n",
+       "      <th>WaarnemingMetadata.Statuswaarde</th>\n",
+       "      <th>WaarnemingMetadata.Bemonsteringshoogte</th>\n",
+       "      <th>WaarnemingMetadata.Referentievlak</th>\n",
+       "      <th>WaarnemingMetadata.OpdrachtgevendeInstantie</th>\n",
+       "      <th>WaarnemingMetadata.Kwaliteitswaardecode</th>\n",
+       "      <th>Compartiment.Code</th>\n",
+       "      <th>Compartiment.Omschrijving</th>\n",
+       "      <th>Grootheid.Code</th>\n",
+       "      <th>Grootheid.Omschrijving</th>\n",
+       "      <th>Eenheid.Code</th>\n",
        "      <th>...</th>\n",
-       "      <th>WaardeBepalingsmethode.Omschrijving</th>\n",
-       "      <th>WaardeBewerkingsmethode.Code</th>\n",
-       "      <th>WaardeBewerkingsmethode.Omschrijving</th>\n",
-       "      <th>Meetwaarde.Waarde_Numeriek</th>\n",
+       "      <th>WaardeBewerkingsMethode.Omschrijving</th>\n",
+       "      <th>Parameter_Wat_Omschrijving</th>\n",
+       "      <th>ProcesType</th>\n",
        "      <th>Meetwaarde.Waarde_Alfanumeriek</th>\n",
+       "      <th>Meetwaarde.Waarde_Numeriek</th>\n",
        "      <th>Code</th>\n",
        "      <th>Coordinatenstelsel</th>\n",
        "      <th>Naam</th>\n",
-       "      <th>X</th>\n",
-       "      <th>Y</th>\n",
+       "      <th>Lon</th>\n",
+       "      <th>Lat</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>time</th>\n",
@@ -1690,124 +1860,124 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2019-05-01 02:00:00+01:00</th>\n",
-       "      <td>Gecontroleerd</td>\n",
+       "      <th>2019-05-01 01:00:00+01:00</th>\n",
+       "      <td>Ongecontroleerd</td>\n",
        "      <td>-999999999</td>\n",
        "      <td>NVT</td>\n",
        "      <td>RIKZMON_WAT</td>\n",
        "      <td>00</td>\n",
-       "      <td>2573</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>WATHTE</td>\n",
+       "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
        "      <td>...</td>\n",
-       "      <td>Rekenkundig gemiddelde waarde over vorige 5 en...</td>\n",
-       "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>44.0</td>\n",
-       "      <td>44</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>Scheveningen</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <td>Waterhoogte astronomisch in Oppervlaktewater t...</td>\n",
+       "      <td>astronomisch</td>\n",
+       "      <td>-103</td>\n",
+       "      <td>-103.0</td>\n",
+       "      <td>ameland.nes</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>5.759448</td>\n",
+       "      <td>53.429766</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2019-05-01 02:10:00+01:00</th>\n",
-       "      <td>Gecontroleerd</td>\n",
+       "      <th>2019-05-01 01:10:00+01:00</th>\n",
+       "      <td>Ongecontroleerd</td>\n",
        "      <td>-999999999</td>\n",
        "      <td>NVT</td>\n",
        "      <td>RIKZMON_WAT</td>\n",
        "      <td>00</td>\n",
-       "      <td>2573</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>WATHTE</td>\n",
+       "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
        "      <td>...</td>\n",
-       "      <td>Rekenkundig gemiddelde waarde over vorige 5 en...</td>\n",
-       "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>41</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>Scheveningen</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <td>Waterhoogte astronomisch in Oppervlaktewater t...</td>\n",
+       "      <td>astronomisch</td>\n",
+       "      <td>-106</td>\n",
+       "      <td>-106.0</td>\n",
+       "      <td>ameland.nes</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>5.759448</td>\n",
+       "      <td>53.429766</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2019-05-01 02:20:00+01:00</th>\n",
-       "      <td>Gecontroleerd</td>\n",
+       "      <th>2019-05-01 01:20:00+01:00</th>\n",
+       "      <td>Ongecontroleerd</td>\n",
        "      <td>-999999999</td>\n",
        "      <td>NVT</td>\n",
        "      <td>RIKZMON_WAT</td>\n",
        "      <td>00</td>\n",
-       "      <td>2573</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>WATHTE</td>\n",
+       "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
        "      <td>...</td>\n",
-       "      <td>Rekenkundig gemiddelde waarde over vorige 5 en...</td>\n",
-       "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>36</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>Scheveningen</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <td>Waterhoogte astronomisch in Oppervlaktewater t...</td>\n",
+       "      <td>astronomisch</td>\n",
+       "      <td>-108</td>\n",
+       "      <td>-108.0</td>\n",
+       "      <td>ameland.nes</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>5.759448</td>\n",
+       "      <td>53.429766</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2019-05-01 02:30:00+01:00</th>\n",
-       "      <td>Gecontroleerd</td>\n",
+       "      <th>2019-05-01 01:30:00+01:00</th>\n",
+       "      <td>Ongecontroleerd</td>\n",
        "      <td>-999999999</td>\n",
        "      <td>NVT</td>\n",
        "      <td>RIKZMON_WAT</td>\n",
        "      <td>00</td>\n",
-       "      <td>2573</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>WATHTE</td>\n",
+       "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
        "      <td>...</td>\n",
-       "      <td>Rekenkundig gemiddelde waarde over vorige 5 en...</td>\n",
-       "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>31.0</td>\n",
-       "      <td>31</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>Scheveningen</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <td>Waterhoogte astronomisch in Oppervlaktewater t...</td>\n",
+       "      <td>astronomisch</td>\n",
+       "      <td>-108</td>\n",
+       "      <td>-108.0</td>\n",
+       "      <td>ameland.nes</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>5.759448</td>\n",
+       "      <td>53.429766</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2019-05-01 02:40:00+01:00</th>\n",
-       "      <td>Gecontroleerd</td>\n",
+       "      <th>2019-05-01 01:40:00+01:00</th>\n",
+       "      <td>Ongecontroleerd</td>\n",
        "      <td>-999999999</td>\n",
        "      <td>NVT</td>\n",
        "      <td>RIKZMON_WAT</td>\n",
        "      <td>00</td>\n",
-       "      <td>2573</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>WATHTE</td>\n",
+       "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
        "      <td>...</td>\n",
-       "      <td>Rekenkundig gemiddelde waarde over vorige 5 en...</td>\n",
-       "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>25</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>Scheveningen</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <td>Waterhoogte astronomisch in Oppervlaktewater t...</td>\n",
+       "      <td>astronomisch</td>\n",
+       "      <td>-108</td>\n",
+       "      <td>-108.0</td>\n",
+       "      <td>ameland.nes</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>5.759448</td>\n",
+       "      <td>53.429766</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -1835,369 +2005,313 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2020-02-01 00:20:00+01:00</th>\n",
-       "      <td>Gecontroleerd</td>\n",
+       "      <td>Ongecontroleerd</td>\n",
        "      <td>-999999999</td>\n",
        "      <td>NVT</td>\n",
        "      <td>RIKZMON_WAT</td>\n",
        "      <td>00</td>\n",
-       "      <td>2573</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>WATHTE</td>\n",
+       "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
        "      <td>...</td>\n",
-       "      <td>Rekenkundig gemiddelde waarde over vorige 5 en...</td>\n",
-       "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>-21.0</td>\n",
-       "      <td>-21</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>Scheveningen</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <td>Waterhoogte astronomisch in Oppervlaktewater t...</td>\n",
+       "      <td>astronomisch</td>\n",
+       "      <td>81</td>\n",
+       "      <td>81.0</td>\n",
+       "      <td>ameland.nes</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>5.759448</td>\n",
+       "      <td>53.429766</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2020-02-01 00:30:00+01:00</th>\n",
-       "      <td>Gecontroleerd</td>\n",
+       "      <td>Ongecontroleerd</td>\n",
        "      <td>-999999999</td>\n",
        "      <td>NVT</td>\n",
        "      <td>RIKZMON_WAT</td>\n",
        "      <td>00</td>\n",
-       "      <td>2573</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>WATHTE</td>\n",
+       "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
        "      <td>...</td>\n",
-       "      <td>Rekenkundig gemiddelde waarde over vorige 5 en...</td>\n",
-       "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>-21.0</td>\n",
-       "      <td>-21</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>Scheveningen</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <td>Waterhoogte astronomisch in Oppervlaktewater t...</td>\n",
+       "      <td>astronomisch</td>\n",
+       "      <td>85</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>ameland.nes</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>5.759448</td>\n",
+       "      <td>53.429766</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2020-02-01 00:40:00+01:00</th>\n",
-       "      <td>Gecontroleerd</td>\n",
+       "      <td>Ongecontroleerd</td>\n",
        "      <td>-999999999</td>\n",
        "      <td>NVT</td>\n",
        "      <td>RIKZMON_WAT</td>\n",
        "      <td>00</td>\n",
-       "      <td>2573</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>WATHTE</td>\n",
+       "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
        "      <td>...</td>\n",
-       "      <td>Rekenkundig gemiddelde waarde over vorige 5 en...</td>\n",
-       "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>-23.0</td>\n",
-       "      <td>-23</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>Scheveningen</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <td>Waterhoogte astronomisch in Oppervlaktewater t...</td>\n",
+       "      <td>astronomisch</td>\n",
+       "      <td>89</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>ameland.nes</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>5.759448</td>\n",
+       "      <td>53.429766</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2020-02-01 00:50:00+01:00</th>\n",
-       "      <td>Gecontroleerd</td>\n",
+       "      <td>Ongecontroleerd</td>\n",
        "      <td>-999999999</td>\n",
        "      <td>NVT</td>\n",
        "      <td>RIKZMON_WAT</td>\n",
        "      <td>00</td>\n",
-       "      <td>2573</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>WATHTE</td>\n",
+       "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
        "      <td>...</td>\n",
-       "      <td>Rekenkundig gemiddelde waarde over vorige 5 en...</td>\n",
-       "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>-22.0</td>\n",
-       "      <td>-22</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>Scheveningen</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <td>Waterhoogte astronomisch in Oppervlaktewater t...</td>\n",
+       "      <td>astronomisch</td>\n",
+       "      <td>93</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>ameland.nes</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>5.759448</td>\n",
+       "      <td>53.429766</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2020-02-01 01:00:00+01:00</th>\n",
-       "      <td>Gecontroleerd</td>\n",
+       "      <td>Ongecontroleerd</td>\n",
        "      <td>-999999999</td>\n",
        "      <td>NVT</td>\n",
        "      <td>RIKZMON_WAT</td>\n",
        "      <td>00</td>\n",
-       "      <td>2573</td>\n",
-       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
-       "      <td>NVT</td>\n",
-       "      <td>Waarde is niet van toepassing</td>\n",
-       "      <td>NVT</td>\n",
+       "      <td>OW</td>\n",
+       "      <td>Oppervlaktewater</td>\n",
+       "      <td>WATHTE</td>\n",
+       "      <td>Waterhoogte</td>\n",
+       "      <td>cm</td>\n",
        "      <td>...</td>\n",
-       "      <td>Rekenkundig gemiddelde waarde over vorige 5 en...</td>\n",
-       "      <td>NVT</td>\n",
        "      <td>Niet van toepassing</td>\n",
-       "      <td>-26.0</td>\n",
-       "      <td>-26</td>\n",
-       "      <td>SCHEVNGN</td>\n",
-       "      <td>25831</td>\n",
-       "      <td>Scheveningen</td>\n",
-       "      <td>586550.994421</td>\n",
-       "      <td>5.772806e+06</td>\n",
+       "      <td>Waterhoogte astronomisch in Oppervlaktewater t...</td>\n",
+       "      <td>astronomisch</td>\n",
+       "      <td>96</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>ameland.nes</td>\n",
+       "      <td>ETRS89</td>\n",
+       "      <td>Ameland, Nes</td>\n",
+       "      <td>5.759448</td>\n",
+       "      <td>53.429766</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>39739 rows × 53 columns</p>\n",
+       "<p>39745 rows × 48 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                          WaarnemingMetadata.StatuswaardeLijst  \\\n",
-       "time                                                             \n",
-       "2019-05-01 02:00:00+01:00                        Gecontroleerd   \n",
-       "2019-05-01 02:10:00+01:00                        Gecontroleerd   \n",
-       "2019-05-01 02:20:00+01:00                        Gecontroleerd   \n",
-       "2019-05-01 02:30:00+01:00                        Gecontroleerd   \n",
-       "2019-05-01 02:40:00+01:00                        Gecontroleerd   \n",
-       "...                                                        ...   \n",
-       "2020-02-01 00:20:00+01:00                        Gecontroleerd   \n",
-       "2020-02-01 00:30:00+01:00                        Gecontroleerd   \n",
-       "2020-02-01 00:40:00+01:00                        Gecontroleerd   \n",
-       "2020-02-01 00:50:00+01:00                        Gecontroleerd   \n",
-       "2020-02-01 01:00:00+01:00                        Gecontroleerd   \n",
-       "\n",
-       "                          WaarnemingMetadata.BemonsteringshoogteLijst  \\\n",
-       "time                                                                    \n",
-       "2019-05-01 02:00:00+01:00                                  -999999999   \n",
-       "2019-05-01 02:10:00+01:00                                  -999999999   \n",
-       "2019-05-01 02:20:00+01:00                                  -999999999   \n",
-       "2019-05-01 02:30:00+01:00                                  -999999999   \n",
-       "2019-05-01 02:40:00+01:00                                  -999999999   \n",
-       "...                                                               ...   \n",
-       "2020-02-01 00:20:00+01:00                                  -999999999   \n",
-       "2020-02-01 00:30:00+01:00                                  -999999999   \n",
-       "2020-02-01 00:40:00+01:00                                  -999999999   \n",
-       "2020-02-01 00:50:00+01:00                                  -999999999   \n",
-       "2020-02-01 01:00:00+01:00                                  -999999999   \n",
-       "\n",
-       "                          WaarnemingMetadata.ReferentievlakLijst  \\\n",
+       "                          WaarnemingMetadata.Statuswaarde  \\\n",
+       "time                                                        \n",
+       "2019-05-01 01:00:00+01:00                 Ongecontroleerd   \n",
+       "2019-05-01 01:10:00+01:00                 Ongecontroleerd   \n",
+       "2019-05-01 01:20:00+01:00                 Ongecontroleerd   \n",
+       "2019-05-01 01:30:00+01:00                 Ongecontroleerd   \n",
+       "2019-05-01 01:40:00+01:00                 Ongecontroleerd   \n",
+       "...                                                   ...   \n",
+       "2020-02-01 00:20:00+01:00                 Ongecontroleerd   \n",
+       "2020-02-01 00:30:00+01:00                 Ongecontroleerd   \n",
+       "2020-02-01 00:40:00+01:00                 Ongecontroleerd   \n",
+       "2020-02-01 00:50:00+01:00                 Ongecontroleerd   \n",
+       "2020-02-01 01:00:00+01:00                 Ongecontroleerd   \n",
+       "\n",
+       "                          WaarnemingMetadata.Bemonsteringshoogte  \\\n",
        "time                                                               \n",
-       "2019-05-01 02:00:00+01:00                                    NVT   \n",
-       "2019-05-01 02:10:00+01:00                                    NVT   \n",
-       "2019-05-01 02:20:00+01:00                                    NVT   \n",
-       "2019-05-01 02:30:00+01:00                                    NVT   \n",
-       "2019-05-01 02:40:00+01:00                                    NVT   \n",
+       "2019-05-01 01:00:00+01:00                             -999999999   \n",
+       "2019-05-01 01:10:00+01:00                             -999999999   \n",
+       "2019-05-01 01:20:00+01:00                             -999999999   \n",
+       "2019-05-01 01:30:00+01:00                             -999999999   \n",
+       "2019-05-01 01:40:00+01:00                             -999999999   \n",
        "...                                                          ...   \n",
-       "2020-02-01 00:20:00+01:00                                    NVT   \n",
-       "2020-02-01 00:30:00+01:00                                    NVT   \n",
-       "2020-02-01 00:40:00+01:00                                    NVT   \n",
-       "2020-02-01 00:50:00+01:00                                    NVT   \n",
-       "2020-02-01 01:00:00+01:00                                    NVT   \n",
-       "\n",
-       "                          WaarnemingMetadata.OpdrachtgevendeInstantieLijst  \\\n",
-       "time                                                                         \n",
-       "2019-05-01 02:00:00+01:00                                      RIKZMON_WAT   \n",
-       "2019-05-01 02:10:00+01:00                                      RIKZMON_WAT   \n",
-       "2019-05-01 02:20:00+01:00                                      RIKZMON_WAT   \n",
-       "2019-05-01 02:30:00+01:00                                      RIKZMON_WAT   \n",
-       "2019-05-01 02:40:00+01:00                                      RIKZMON_WAT   \n",
-       "...                                                                    ...   \n",
-       "2020-02-01 00:20:00+01:00                                      RIKZMON_WAT   \n",
-       "2020-02-01 00:30:00+01:00                                      RIKZMON_WAT   \n",
-       "2020-02-01 00:40:00+01:00                                      RIKZMON_WAT   \n",
-       "2020-02-01 00:50:00+01:00                                      RIKZMON_WAT   \n",
-       "2020-02-01 01:00:00+01:00                                      RIKZMON_WAT   \n",
-       "\n",
-       "                          WaarnemingMetadata.KwaliteitswaardecodeLijst  \\\n",
-       "time                                                                     \n",
-       "2019-05-01 02:00:00+01:00                                           00   \n",
-       "2019-05-01 02:10:00+01:00                                           00   \n",
-       "2019-05-01 02:20:00+01:00                                           00   \n",
-       "2019-05-01 02:30:00+01:00                                           00   \n",
-       "2019-05-01 02:40:00+01:00                                           00   \n",
-       "...                                                                ...   \n",
-       "2020-02-01 00:20:00+01:00                                           00   \n",
-       "2020-02-01 00:30:00+01:00                                           00   \n",
-       "2020-02-01 00:40:00+01:00                                           00   \n",
-       "2020-02-01 00:50:00+01:00                                           00   \n",
-       "2020-02-01 01:00:00+01:00                                           00   \n",
-       "\n",
-       "                           AquoMetadata_MessageID  \\\n",
-       "time                                                \n",
-       "2019-05-01 02:00:00+01:00                    2573   \n",
-       "2019-05-01 02:10:00+01:00                    2573   \n",
-       "2019-05-01 02:20:00+01:00                    2573   \n",
-       "2019-05-01 02:30:00+01:00                    2573   \n",
-       "2019-05-01 02:40:00+01:00                    2573   \n",
-       "...                                           ...   \n",
-       "2020-02-01 00:20:00+01:00                    2573   \n",
-       "2020-02-01 00:30:00+01:00                    2573   \n",
-       "2020-02-01 00:40:00+01:00                    2573   \n",
-       "2020-02-01 00:50:00+01:00                    2573   \n",
-       "2020-02-01 01:00:00+01:00                    2573   \n",
+       "2020-02-01 00:20:00+01:00                             -999999999   \n",
+       "2020-02-01 00:30:00+01:00                             -999999999   \n",
+       "2020-02-01 00:40:00+01:00                             -999999999   \n",
+       "2020-02-01 00:50:00+01:00                             -999999999   \n",
+       "2020-02-01 01:00:00+01:00                             -999999999   \n",
+       "\n",
+       "                          WaarnemingMetadata.Referentievlak  \\\n",
+       "time                                                          \n",
+       "2019-05-01 01:00:00+01:00                               NVT   \n",
+       "2019-05-01 01:10:00+01:00                               NVT   \n",
+       "2019-05-01 01:20:00+01:00                               NVT   \n",
+       "2019-05-01 01:30:00+01:00                               NVT   \n",
+       "2019-05-01 01:40:00+01:00                               NVT   \n",
+       "...                                                     ...   \n",
+       "2020-02-01 00:20:00+01:00                               NVT   \n",
+       "2020-02-01 00:30:00+01:00                               NVT   \n",
+       "2020-02-01 00:40:00+01:00                               NVT   \n",
+       "2020-02-01 00:50:00+01:00                               NVT   \n",
+       "2020-02-01 01:00:00+01:00                               NVT   \n",
+       "\n",
+       "                          WaarnemingMetadata.OpdrachtgevendeInstantie  \\\n",
+       "time                                                                    \n",
+       "2019-05-01 01:00:00+01:00                                 RIKZMON_WAT   \n",
+       "2019-05-01 01:10:00+01:00                                 RIKZMON_WAT   \n",
+       "2019-05-01 01:20:00+01:00                                 RIKZMON_WAT   \n",
+       "2019-05-01 01:30:00+01:00                                 RIKZMON_WAT   \n",
+       "2019-05-01 01:40:00+01:00                                 RIKZMON_WAT   \n",
+       "...                                                               ...   \n",
+       "2020-02-01 00:20:00+01:00                                 RIKZMON_WAT   \n",
+       "2020-02-01 00:30:00+01:00                                 RIKZMON_WAT   \n",
+       "2020-02-01 00:40:00+01:00                                 RIKZMON_WAT   \n",
+       "2020-02-01 00:50:00+01:00                                 RIKZMON_WAT   \n",
+       "2020-02-01 01:00:00+01:00                                 RIKZMON_WAT   \n",
+       "\n",
+       "                          WaarnemingMetadata.Kwaliteitswaardecode  \\\n",
+       "time                                                                \n",
+       "2019-05-01 01:00:00+01:00                                      00   \n",
+       "2019-05-01 01:10:00+01:00                                      00   \n",
+       "2019-05-01 01:20:00+01:00                                      00   \n",
+       "2019-05-01 01:30:00+01:00                                      00   \n",
+       "2019-05-01 01:40:00+01:00                                      00   \n",
+       "...                                                           ...   \n",
+       "2020-02-01 00:20:00+01:00                                      00   \n",
+       "2020-02-01 00:30:00+01:00                                      00   \n",
+       "2020-02-01 00:40:00+01:00                                      00   \n",
+       "2020-02-01 00:50:00+01:00                                      00   \n",
+       "2020-02-01 01:00:00+01:00                                      00   \n",
+       "\n",
+       "                          Compartiment.Code Compartiment.Omschrijving  \\\n",
+       "time                                                                    \n",
+       "2019-05-01 01:00:00+01:00                OW          Oppervlaktewater   \n",
+       "2019-05-01 01:10:00+01:00                OW          Oppervlaktewater   \n",
+       "2019-05-01 01:20:00+01:00                OW          Oppervlaktewater   \n",
+       "2019-05-01 01:30:00+01:00                OW          Oppervlaktewater   \n",
+       "2019-05-01 01:40:00+01:00                OW          Oppervlaktewater   \n",
+       "...                                     ...                       ...   \n",
+       "2020-02-01 00:20:00+01:00                OW          Oppervlaktewater   \n",
+       "2020-02-01 00:30:00+01:00                OW          Oppervlaktewater   \n",
+       "2020-02-01 00:40:00+01:00                OW          Oppervlaktewater   \n",
+       "2020-02-01 00:50:00+01:00                OW          Oppervlaktewater   \n",
+       "2020-02-01 01:00:00+01:00                OW          Oppervlaktewater   \n",
+       "\n",
+       "                          Grootheid.Code Grootheid.Omschrijving Eenheid.Code  \\\n",
+       "time                                                                           \n",
+       "2019-05-01 01:00:00+01:00         WATHTE            Waterhoogte           cm   \n",
+       "2019-05-01 01:10:00+01:00         WATHTE            Waterhoogte           cm   \n",
+       "2019-05-01 01:20:00+01:00         WATHTE            Waterhoogte           cm   \n",
+       "2019-05-01 01:30:00+01:00         WATHTE            Waterhoogte           cm   \n",
+       "2019-05-01 01:40:00+01:00         WATHTE            Waterhoogte           cm   \n",
+       "...                                  ...                    ...          ...   \n",
+       "2020-02-01 00:20:00+01:00         WATHTE            Waterhoogte           cm   \n",
+       "2020-02-01 00:30:00+01:00         WATHTE            Waterhoogte           cm   \n",
+       "2020-02-01 00:40:00+01:00         WATHTE            Waterhoogte           cm   \n",
+       "2020-02-01 00:50:00+01:00         WATHTE            Waterhoogte           cm   \n",
+       "2020-02-01 01:00:00+01:00         WATHTE            Waterhoogte           cm   \n",
+       "\n",
+       "                           ... WaardeBewerkingsMethode.Omschrijving  \\\n",
+       "time                       ...                                        \n",
+       "2019-05-01 01:00:00+01:00  ...                  Niet van toepassing   \n",
+       "2019-05-01 01:10:00+01:00  ...                  Niet van toepassing   \n",
+       "2019-05-01 01:20:00+01:00  ...                  Niet van toepassing   \n",
+       "2019-05-01 01:30:00+01:00  ...                  Niet van toepassing   \n",
+       "2019-05-01 01:40:00+01:00  ...                  Niet van toepassing   \n",
+       "...                        ...                                  ...   \n",
+       "2020-02-01 00:20:00+01:00  ...                  Niet van toepassing   \n",
+       "2020-02-01 00:30:00+01:00  ...                  Niet van toepassing   \n",
+       "2020-02-01 00:40:00+01:00  ...                  Niet van toepassing   \n",
+       "2020-02-01 00:50:00+01:00  ...                  Niet van toepassing   \n",
+       "2020-02-01 01:00:00+01:00  ...                  Niet van toepassing   \n",
        "\n",
        "                                                  Parameter_Wat_Omschrijving  \\\n",
        "time                                                                           \n",
-       "2019-05-01 02:00:00+01:00  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "2019-05-01 02:10:00+01:00  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "2019-05-01 02:20:00+01:00  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "2019-05-01 02:30:00+01:00  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "2019-05-01 02:40:00+01:00  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "...                                                                      ...   \n",
-       "2020-02-01 00:20:00+01:00  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "2020-02-01 00:30:00+01:00  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "2020-02-01 00:40:00+01:00  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "2020-02-01 00:50:00+01:00  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "2020-02-01 01:00:00+01:00  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
-       "\n",
-       "                          BemonsteringsApparaat.Code  \\\n",
-       "time                                                   \n",
-       "2019-05-01 02:00:00+01:00                        NVT   \n",
-       "2019-05-01 02:10:00+01:00                        NVT   \n",
-       "2019-05-01 02:20:00+01:00                        NVT   \n",
-       "2019-05-01 02:30:00+01:00                        NVT   \n",
-       "2019-05-01 02:40:00+01:00                        NVT   \n",
-       "...                                              ...   \n",
-       "2020-02-01 00:20:00+01:00                        NVT   \n",
-       "2020-02-01 00:30:00+01:00                        NVT   \n",
-       "2020-02-01 00:40:00+01:00                        NVT   \n",
-       "2020-02-01 00:50:00+01:00                        NVT   \n",
-       "2020-02-01 01:00:00+01:00                        NVT   \n",
-       "\n",
-       "                          BemonsteringsApparaat.Omschrijving  \\\n",
-       "time                                                           \n",
-       "2019-05-01 02:00:00+01:00      Waarde is niet van toepassing   \n",
-       "2019-05-01 02:10:00+01:00      Waarde is niet van toepassing   \n",
-       "2019-05-01 02:20:00+01:00      Waarde is niet van toepassing   \n",
-       "2019-05-01 02:30:00+01:00      Waarde is niet van toepassing   \n",
-       "2019-05-01 02:40:00+01:00      Waarde is niet van toepassing   \n",
-       "...                                                      ...   \n",
-       "2020-02-01 00:20:00+01:00      Waarde is niet van toepassing   \n",
-       "2020-02-01 00:30:00+01:00      Waarde is niet van toepassing   \n",
-       "2020-02-01 00:40:00+01:00      Waarde is niet van toepassing   \n",
-       "2020-02-01 00:50:00+01:00      Waarde is niet van toepassing   \n",
-       "2020-02-01 01:00:00+01:00      Waarde is niet van toepassing   \n",
-       "\n",
-       "                          BemonsteringsMethode.Code  ...  \\\n",
-       "time                                                 ...   \n",
-       "2019-05-01 02:00:00+01:00                       NVT  ...   \n",
-       "2019-05-01 02:10:00+01:00                       NVT  ...   \n",
-       "2019-05-01 02:20:00+01:00                       NVT  ...   \n",
-       "2019-05-01 02:30:00+01:00                       NVT  ...   \n",
-       "2019-05-01 02:40:00+01:00                       NVT  ...   \n",
-       "...                                             ...  ...   \n",
-       "2020-02-01 00:20:00+01:00                       NVT  ...   \n",
-       "2020-02-01 00:30:00+01:00                       NVT  ...   \n",
-       "2020-02-01 00:40:00+01:00                       NVT  ...   \n",
-       "2020-02-01 00:50:00+01:00                       NVT  ...   \n",
-       "2020-02-01 01:00:00+01:00                       NVT  ...   \n",
-       "\n",
-       "                                         WaardeBepalingsmethode.Omschrijving  \\\n",
-       "time                                                                           \n",
-       "2019-05-01 02:00:00+01:00  Rekenkundig gemiddelde waarde over vorige 5 en...   \n",
-       "2019-05-01 02:10:00+01:00  Rekenkundig gemiddelde waarde over vorige 5 en...   \n",
-       "2019-05-01 02:20:00+01:00  Rekenkundig gemiddelde waarde over vorige 5 en...   \n",
-       "2019-05-01 02:30:00+01:00  Rekenkundig gemiddelde waarde over vorige 5 en...   \n",
-       "2019-05-01 02:40:00+01:00  Rekenkundig gemiddelde waarde over vorige 5 en...   \n",
+       "2019-05-01 01:00:00+01:00  Waterhoogte astronomisch in Oppervlaktewater t...   \n",
+       "2019-05-01 01:10:00+01:00  Waterhoogte astronomisch in Oppervlaktewater t...   \n",
+       "2019-05-01 01:20:00+01:00  Waterhoogte astronomisch in Oppervlaktewater t...   \n",
+       "2019-05-01 01:30:00+01:00  Waterhoogte astronomisch in Oppervlaktewater t...   \n",
+       "2019-05-01 01:40:00+01:00  Waterhoogte astronomisch in Oppervlaktewater t...   \n",
        "...                                                                      ...   \n",
-       "2020-02-01 00:20:00+01:00  Rekenkundig gemiddelde waarde over vorige 5 en...   \n",
-       "2020-02-01 00:30:00+01:00  Rekenkundig gemiddelde waarde over vorige 5 en...   \n",
-       "2020-02-01 00:40:00+01:00  Rekenkundig gemiddelde waarde over vorige 5 en...   \n",
-       "2020-02-01 00:50:00+01:00  Rekenkundig gemiddelde waarde over vorige 5 en...   \n",
-       "2020-02-01 01:00:00+01:00  Rekenkundig gemiddelde waarde over vorige 5 en...   \n",
-       "\n",
-       "                          WaardeBewerkingsmethode.Code  \\\n",
-       "time                                                     \n",
-       "2019-05-01 02:00:00+01:00                          NVT   \n",
-       "2019-05-01 02:10:00+01:00                          NVT   \n",
-       "2019-05-01 02:20:00+01:00                          NVT   \n",
-       "2019-05-01 02:30:00+01:00                          NVT   \n",
-       "2019-05-01 02:40:00+01:00                          NVT   \n",
-       "...                                                ...   \n",
-       "2020-02-01 00:20:00+01:00                          NVT   \n",
-       "2020-02-01 00:30:00+01:00                          NVT   \n",
-       "2020-02-01 00:40:00+01:00                          NVT   \n",
-       "2020-02-01 00:50:00+01:00                          NVT   \n",
-       "2020-02-01 01:00:00+01:00                          NVT   \n",
-       "\n",
-       "                          WaardeBewerkingsmethode.Omschrijving  \\\n",
-       "time                                                             \n",
-       "2019-05-01 02:00:00+01:00                  Niet van toepassing   \n",
-       "2019-05-01 02:10:00+01:00                  Niet van toepassing   \n",
-       "2019-05-01 02:20:00+01:00                  Niet van toepassing   \n",
-       "2019-05-01 02:30:00+01:00                  Niet van toepassing   \n",
-       "2019-05-01 02:40:00+01:00                  Niet van toepassing   \n",
-       "...                                                        ...   \n",
-       "2020-02-01 00:20:00+01:00                  Niet van toepassing   \n",
-       "2020-02-01 00:30:00+01:00                  Niet van toepassing   \n",
-       "2020-02-01 00:40:00+01:00                  Niet van toepassing   \n",
-       "2020-02-01 00:50:00+01:00                  Niet van toepassing   \n",
-       "2020-02-01 01:00:00+01:00                  Niet van toepassing   \n",
-       "\n",
-       "                          Meetwaarde.Waarde_Numeriek  \\\n",
-       "time                                                   \n",
-       "2019-05-01 02:00:00+01:00                       44.0   \n",
-       "2019-05-01 02:10:00+01:00                       41.0   \n",
-       "2019-05-01 02:20:00+01:00                       36.0   \n",
-       "2019-05-01 02:30:00+01:00                       31.0   \n",
-       "2019-05-01 02:40:00+01:00                       25.0   \n",
-       "...                                              ...   \n",
-       "2020-02-01 00:20:00+01:00                      -21.0   \n",
-       "2020-02-01 00:30:00+01:00                      -21.0   \n",
-       "2020-02-01 00:40:00+01:00                      -23.0   \n",
-       "2020-02-01 00:50:00+01:00                      -22.0   \n",
-       "2020-02-01 01:00:00+01:00                      -26.0   \n",
-       "\n",
-       "                          Meetwaarde.Waarde_Alfanumeriek      Code  \\\n",
-       "time                                                                 \n",
-       "2019-05-01 02:00:00+01:00                             44  SCHEVNGN   \n",
-       "2019-05-01 02:10:00+01:00                             41  SCHEVNGN   \n",
-       "2019-05-01 02:20:00+01:00                             36  SCHEVNGN   \n",
-       "2019-05-01 02:30:00+01:00                             31  SCHEVNGN   \n",
-       "2019-05-01 02:40:00+01:00                             25  SCHEVNGN   \n",
-       "...                                                  ...       ...   \n",
-       "2020-02-01 00:20:00+01:00                            -21  SCHEVNGN   \n",
-       "2020-02-01 00:30:00+01:00                            -21  SCHEVNGN   \n",
-       "2020-02-01 00:40:00+01:00                            -23  SCHEVNGN   \n",
-       "2020-02-01 00:50:00+01:00                            -22  SCHEVNGN   \n",
-       "2020-02-01 01:00:00+01:00                            -26  SCHEVNGN   \n",
-       "\n",
-       "                          Coordinatenstelsel          Naam              X  \\\n",
-       "time                                                                        \n",
-       "2019-05-01 02:00:00+01:00              25831  Scheveningen  586550.994421   \n",
-       "2019-05-01 02:10:00+01:00              25831  Scheveningen  586550.994421   \n",
-       "2019-05-01 02:20:00+01:00              25831  Scheveningen  586550.994421   \n",
-       "2019-05-01 02:30:00+01:00              25831  Scheveningen  586550.994421   \n",
-       "2019-05-01 02:40:00+01:00              25831  Scheveningen  586550.994421   \n",
-       "...                                      ...           ...            ...   \n",
-       "2020-02-01 00:20:00+01:00              25831  Scheveningen  586550.994421   \n",
-       "2020-02-01 00:30:00+01:00              25831  Scheveningen  586550.994421   \n",
-       "2020-02-01 00:40:00+01:00              25831  Scheveningen  586550.994421   \n",
-       "2020-02-01 00:50:00+01:00              25831  Scheveningen  586550.994421   \n",
-       "2020-02-01 01:00:00+01:00              25831  Scheveningen  586550.994421   \n",
-       "\n",
-       "                                      Y  \n",
-       "time                                     \n",
-       "2019-05-01 02:00:00+01:00  5.772806e+06  \n",
-       "2019-05-01 02:10:00+01:00  5.772806e+06  \n",
-       "2019-05-01 02:20:00+01:00  5.772806e+06  \n",
-       "2019-05-01 02:30:00+01:00  5.772806e+06  \n",
-       "2019-05-01 02:40:00+01:00  5.772806e+06  \n",
-       "...                                 ...  \n",
-       "2020-02-01 00:20:00+01:00  5.772806e+06  \n",
-       "2020-02-01 00:30:00+01:00  5.772806e+06  \n",
-       "2020-02-01 00:40:00+01:00  5.772806e+06  \n",
-       "2020-02-01 00:50:00+01:00  5.772806e+06  \n",
-       "2020-02-01 01:00:00+01:00  5.772806e+06  \n",
-       "\n",
-       "[39739 rows x 53 columns]"
+       "2020-02-01 00:20:00+01:00  Waterhoogte astronomisch in Oppervlaktewater t...   \n",
+       "2020-02-01 00:30:00+01:00  Waterhoogte astronomisch in Oppervlaktewater t...   \n",
+       "2020-02-01 00:40:00+01:00  Waterhoogte astronomisch in Oppervlaktewater t...   \n",
+       "2020-02-01 00:50:00+01:00  Waterhoogte astronomisch in Oppervlaktewater t...   \n",
+       "2020-02-01 01:00:00+01:00  Waterhoogte astronomisch in Oppervlaktewater t...   \n",
+       "\n",
+       "                             ProcesType Meetwaarde.Waarde_Alfanumeriek  \\\n",
+       "time                                                                     \n",
+       "2019-05-01 01:00:00+01:00  astronomisch                           -103   \n",
+       "2019-05-01 01:10:00+01:00  astronomisch                           -106   \n",
+       "2019-05-01 01:20:00+01:00  astronomisch                           -108   \n",
+       "2019-05-01 01:30:00+01:00  astronomisch                           -108   \n",
+       "2019-05-01 01:40:00+01:00  astronomisch                           -108   \n",
+       "...                                 ...                            ...   \n",
+       "2020-02-01 00:20:00+01:00  astronomisch                             81   \n",
+       "2020-02-01 00:30:00+01:00  astronomisch                             85   \n",
+       "2020-02-01 00:40:00+01:00  astronomisch                             89   \n",
+       "2020-02-01 00:50:00+01:00  astronomisch                             93   \n",
+       "2020-02-01 01:00:00+01:00  astronomisch                             96   \n",
+       "\n",
+       "                          Meetwaarde.Waarde_Numeriek         Code  \\\n",
+       "time                                                                \n",
+       "2019-05-01 01:00:00+01:00                     -103.0  ameland.nes   \n",
+       "2019-05-01 01:10:00+01:00                     -106.0  ameland.nes   \n",
+       "2019-05-01 01:20:00+01:00                     -108.0  ameland.nes   \n",
+       "2019-05-01 01:30:00+01:00                     -108.0  ameland.nes   \n",
+       "2019-05-01 01:40:00+01:00                     -108.0  ameland.nes   \n",
+       "...                                              ...          ...   \n",
+       "2020-02-01 00:20:00+01:00                       81.0  ameland.nes   \n",
+       "2020-02-01 00:30:00+01:00                       85.0  ameland.nes   \n",
+       "2020-02-01 00:40:00+01:00                       89.0  ameland.nes   \n",
+       "2020-02-01 00:50:00+01:00                       93.0  ameland.nes   \n",
+       "2020-02-01 01:00:00+01:00                       96.0  ameland.nes   \n",
+       "\n",
+       "                          Coordinatenstelsel          Naam       Lon  \\\n",
+       "time                                                                   \n",
+       "2019-05-01 01:00:00+01:00             ETRS89  Ameland, Nes  5.759448   \n",
+       "2019-05-01 01:10:00+01:00             ETRS89  Ameland, Nes  5.759448   \n",
+       "2019-05-01 01:20:00+01:00             ETRS89  Ameland, Nes  5.759448   \n",
+       "2019-05-01 01:30:00+01:00             ETRS89  Ameland, Nes  5.759448   \n",
+       "2019-05-01 01:40:00+01:00             ETRS89  Ameland, Nes  5.759448   \n",
+       "...                                      ...           ...       ...   \n",
+       "2020-02-01 00:20:00+01:00             ETRS89  Ameland, Nes  5.759448   \n",
+       "2020-02-01 00:30:00+01:00             ETRS89  Ameland, Nes  5.759448   \n",
+       "2020-02-01 00:40:00+01:00             ETRS89  Ameland, Nes  5.759448   \n",
+       "2020-02-01 00:50:00+01:00             ETRS89  Ameland, Nes  5.759448   \n",
+       "2020-02-01 01:00:00+01:00             ETRS89  Ameland, Nes  5.759448   \n",
+       "\n",
+       "                                 Lat  \n",
+       "time                                  \n",
+       "2019-05-01 01:00:00+01:00  53.429766  \n",
+       "2019-05-01 01:10:00+01:00  53.429766  \n",
+       "2019-05-01 01:20:00+01:00  53.429766  \n",
+       "2019-05-01 01:30:00+01:00  53.429766  \n",
+       "2019-05-01 01:40:00+01:00  53.429766  \n",
+       "...                              ...  \n",
+       "2020-02-01 00:20:00+01:00  53.429766  \n",
+       "2020-02-01 00:30:00+01:00  53.429766  \n",
+       "2020-02-01 00:40:00+01:00  53.429766  \n",
+       "2020-02-01 00:50:00+01:00  53.429766  \n",
+       "2020-02-01 01:00:00+01:00  53.429766  \n",
+       "\n",
+       "[39745 rows x 48 columns]"
       ]
      },
      "execution_count": 13,
@@ -2255,6 +2369,7 @@
        "}\n",
        "\n",
        "html[theme=dark],\n",
+       "html[data-theme=dark],\n",
        "body[data-theme=dark],\n",
        "body.vscode-dark {\n",
        "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
@@ -2587,72 +2702,84 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB\n",
-       "Dimensions:                                       (time: 39739)\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 3MB\n",
+       "Dimensions:                                  (time: 39745)\n",
        "Coordinates:\n",
-       "  * time                                          (time) datetime64[ns] 318kB ...\n",
+       "  * time                                     (time) datetime64[ns] 318kB 2019...\n",
        "Data variables:\n",
-       "    WaarnemingMetadata.StatuswaardeLijst          (time) object 318kB &#x27;Gecont...\n",
-       "    WaarnemingMetadata.KwaliteitswaardecodeLijst  (time) object 318kB &#x27;00&#x27; .....\n",
-       "    MeetApparaat.Code                             (time) object 318kB &#x27;127&#x27; ....\n",
-       "    WaardeBepalingsmethode.Code                   (time) object 318kB &#x27;other:...\n",
-       "    Meetwaarde.Waarde_Numeriek                    (time) float64 318kB 44.0 ....\n",
-       "Attributes: (12/27)\n",
-       "    BemonsteringsApparaat.Code:                        NVT\n",
-       "    BemonsteringsMethode.Code:                         NVT\n",
-       "    BioTaxon.Code:                                     NVT\n",
-       "    BioTaxon_Compartiment.Code:                        NVT\n",
-       "    MonsterBewerkingsMethode.Code:                     NVT\n",
-       "    Orgaan.Code:                                       NVT\n",
-       "    ...                                                ...\n",
-       "    Hoedanigheid.Code:                                 NAP\n",
-       "    Code:                                              SCHEVNGN\n",
-       "    Naam:                                              Scheveningen\n",
-       "    Coordinatenstelsel:                                25831\n",
-       "    X:                                                 586550.994420996\n",
-       "    Y:                                                 5772806.43069697</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-31b8f426-3686-4c1c-a638-8e3768526e4a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-31b8f426-3686-4c1c-a638-8e3768526e4a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 39739</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6f1983ce-e5c2-4be1-a885-2caac34609f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6f1983ce-e5c2-4be1-a885-2caac34609f2' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-05-01T01:00:00 ... 2020-02-01</div><input id='attrs-a694c9a7-6910-440f-99ee-2f43d37d208d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a694c9a7-6910-440f-99ee-2f43d37d208d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20d49ed6-b285-4c82-8f65-42af63688030' class='xr-var-data-in' type='checkbox'><label for='data-20d49ed6-b285-4c82-8f65-42af63688030' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-05-01T01:00:00.000000000&#x27;, &#x27;2019-05-01T01:10:00.000000000&#x27;,\n",
-       "       &#x27;2019-05-01T01:20:00.000000000&#x27;, ..., &#x27;2020-01-31T23:40:00.000000000&#x27;,\n",
+       "    WaarnemingMetadata.Statuswaarde          (time) object 318kB &#x27;Ongecontrol...\n",
+       "    WaarnemingMetadata.Kwaliteitswaardecode  (time) object 318kB &#x27;00&#x27; ... &#x27;00&#x27;\n",
+       "    Groepering.Code                          (time) object 318kB &#x27;&#x27; &#x27;&#x27; ... &#x27;&#x27; &#x27;&#x27;\n",
+       "    BemonsteringsApparaat.Code               (time) object 318kB &#x27;&#x27; &#x27;&#x27; ... &#x27;&#x27; &#x27;&#x27;\n",
+       "    BemonsteringsMethode.Code                (time) object 318kB &#x27;&#x27; &#x27;&#x27; ... &#x27;&#x27; &#x27;&#x27;\n",
+       "    MeetApparaat.Code                        (time) object 318kB &#x27;8000&#x27; ... &#x27;...\n",
+       "    WaardeBepalingsMethode.Code              (time) object 318kB &#x27;other:F012&#x27;...\n",
+       "    WaardeBepalingsTechniek.Code             (time) object 318kB &#x27;&#x27; &#x27;&#x27; ... &#x27;&#x27; &#x27;&#x27;\n",
+       "    ProcesType                               (time) object 318kB &#x27;astronomisc...\n",
+       "    Meetwaarde.Waarde_Numeriek               (time) float64 318kB -103.0 ... ...\n",
+       "Attributes: (12/19)\n",
+       "    Parameter.Code:                               NVT\n",
+       "    BioTaxon.Code:                                NVT\n",
+       "    Orgaan.Code:                                  NVT\n",
+       "    Typering.Code:                                NVT\n",
+       "    WaardeBewerkingsMethode.Code:                 NVT\n",
+       "    WaarnemingMetadata.OpdrachtgevendeInstantie:  RIKZMON_WAT\n",
+       "    ...                                           ...\n",
+       "    Hoedanigheid.Code:                            NAP\n",
+       "    Code:                                         ameland.nes\n",
+       "    Naam:                                         Ameland, Nes\n",
+       "    Coordinatenstelsel:                           ETRS89\n",
+       "    Lon:                                          5.759448\n",
+       "    Lat:                                          53.429766</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-504af180-0507-427f-932c-ec05c3e981a2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-504af180-0507-427f-932c-ec05c3e981a2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 39745</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-615314c9-c9ed-473e-9bec-5fc854156fa0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-615314c9-c9ed-473e-9bec-5fc854156fa0' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-05-01 ... 2020-02-01</div><input id='attrs-9c9ac447-db59-4842-a2a6-eaae35f27549' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9c9ac447-db59-4842-a2a6-eaae35f27549' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97d2ff07-9234-4094-994a-ece467a84d1b' class='xr-var-data-in' type='checkbox'><label for='data-97d2ff07-9234-4094-994a-ece467a84d1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-05-01T00:00:00.000000000&#x27;, &#x27;2019-05-01T00:10:00.000000000&#x27;,\n",
+       "       &#x27;2019-05-01T00:20:00.000000000&#x27;, ..., &#x27;2020-01-31T23:40:00.000000000&#x27;,\n",
        "       &#x27;2020-01-31T23:50:00.000000000&#x27;, &#x27;2020-02-01T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-40ba90ec-ffec-4977-a39d-4db5175c4b26' class='xr-section-summary-in' type='checkbox'  checked><label for='section-40ba90ec-ffec-4977-a39d-4db5175c4b26' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>WaarnemingMetadata.StatuswaardeLijst</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Gecontroleerd&#x27; ... &#x27;Gecontroleerd&#x27;</div><input id='attrs-313bd7a4-8289-43d1-8a10-2852afa66fdd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-313bd7a4-8289-43d1-8a10-2852afa66fdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68d81b92-7199-4ac5-aaad-4843826634c2' class='xr-var-data-in' type='checkbox'><label for='data-68d81b92-7199-4ac5-aaad-4843826634c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Gecontroleerd&#x27;, &#x27;Gecontroleerd&#x27;, &#x27;Gecontroleerd&#x27;, ...,\n",
-       "       &#x27;Gecontroleerd&#x27;, &#x27;Gecontroleerd&#x27;, &#x27;Gecontroleerd&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WaarnemingMetadata.KwaliteitswaardecodeLijst</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;00&#x27; &#x27;00&#x27; &#x27;00&#x27; ... &#x27;00&#x27; &#x27;00&#x27; &#x27;00&#x27;</div><input id='attrs-9a94fea5-8c8a-46b9-a59f-7a6daddca729' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a94fea5-8c8a-46b9-a59f-7a6daddca729' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b7cfd8b-c595-40eb-a52a-d8735f295766' class='xr-var-data-in' type='checkbox'><label for='data-6b7cfd8b-c595-40eb-a52a-d8735f295766' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;00&#x27;, &#x27;00&#x27;, &#x27;00&#x27;, ..., &#x27;00&#x27;, &#x27;00&#x27;, &#x27;00&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MeetApparaat.Code</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;127&#x27; &#x27;127&#x27; &#x27;127&#x27; ... &#x27;127&#x27; &#x27;127&#x27;</div><input id='attrs-e0529ec5-7761-4ee0-94bb-c89a4a66c98e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0529ec5-7761-4ee0-94bb-c89a4a66c98e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2782524f-ec71-4c28-9cb6-4e104c2f6083' class='xr-var-data-in' type='checkbox'><label for='data-2782524f-ec71-4c28-9cb6-4e104c2f6083' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>127 :</span></dt><dd>Vlotter</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;127&#x27;, &#x27;127&#x27;, &#x27;127&#x27;, ..., &#x27;127&#x27;, &#x27;127&#x27;, &#x27;127&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WaardeBepalingsmethode.Code</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;other:F007&#x27; ... &#x27;other:F007&#x27;</div><input id='attrs-b346f19e-79c0-4390-8276-dfc767fdf0b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b346f19e-79c0-4390-8276-dfc767fdf0b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba672cbf-3a3f-403c-b348-bd14b0fab78e' class='xr-var-data-in' type='checkbox'><label for='data-ba672cbf-3a3f-403c-b348-bd14b0fab78e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>other:F007 :</span></dt><dd>Rekenkundig gemiddelde waarde over vorige 5 en volgende 5 minuten</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;other:F007&#x27;, &#x27;other:F007&#x27;, &#x27;other:F007&#x27;, ..., &#x27;other:F007&#x27;,\n",
-       "       &#x27;other:F007&#x27;, &#x27;other:F007&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Meetwaarde.Waarde_Numeriek</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>44.0 41.0 36.0 ... -22.0 -26.0</div><input id='attrs-8830ec81-4994-429e-91fc-98b55a0d7fb2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8830ec81-4994-429e-91fc-98b55a0d7fb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c38a0b2c-8abd-45b7-a17a-4352514d3c69' class='xr-var-data-in' type='checkbox'><label for='data-c38a0b2c-8abd-45b7-a17a-4352514d3c69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 44.,  41.,  36., ..., -23., -22., -26.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f7141579-00e6-4e4b-86f1-bf6d6ecb68ed' class='xr-section-summary-in' type='checkbox'  ><label for='section-f7141579-00e6-4e4b-86f1-bf6d6ecb68ed' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e0223456-78a5-4ae5-8cca-fd4c386b0b47' class='xr-index-data-in' type='checkbox'/><label for='index-e0223456-78a5-4ae5-8cca-fd4c386b0b47' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-05-01 01:00:00&#x27;, &#x27;2019-05-01 01:10:00&#x27;,\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-403af191-7726-499d-9de5-6d4c2176b9be' class='xr-section-summary-in' type='checkbox'  checked><label for='section-403af191-7726-499d-9de5-6d4c2176b9be' class='xr-section-summary' >Data variables: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>WaarnemingMetadata.Statuswaarde</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Ongecontroleerd&#x27; ... &#x27;Ongecontr...</div><input id='attrs-d2d7a151-3eed-4304-9743-8b5a1ec531a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2d7a151-3eed-4304-9743-8b5a1ec531a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9cb2133-249c-4c69-af86-ceee53fe4180' class='xr-var-data-in' type='checkbox'><label for='data-e9cb2133-249c-4c69-af86-ceee53fe4180' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Ongecontroleerd&#x27;, &#x27;Ongecontroleerd&#x27;, &#x27;Ongecontroleerd&#x27;, ...,\n",
+       "       &#x27;Ongecontroleerd&#x27;, &#x27;Ongecontroleerd&#x27;, &#x27;Ongecontroleerd&#x27;],\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WaarnemingMetadata.Kwaliteitswaardecode</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;00&#x27; &#x27;00&#x27; &#x27;00&#x27; ... &#x27;00&#x27; &#x27;00&#x27; &#x27;00&#x27;</div><input id='attrs-f1eeb812-b26d-414b-9b94-27316e18099c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f1eeb812-b26d-414b-9b94-27316e18099c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9733edb9-92af-4704-99c6-6099c7dce665' class='xr-var-data-in' type='checkbox'><label for='data-9733edb9-92af-4704-99c6-6099c7dce665' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;00&#x27;, &#x27;00&#x27;, &#x27;00&#x27;, ..., &#x27;00&#x27;, &#x27;00&#x27;, &#x27;00&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Groepering.Code</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; ... &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27;</div><input id='attrs-3a8b3987-1892-4421-9d90-4cafcfbb374c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a8b3987-1892-4421-9d90-4cafcfbb374c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a7e2843-f09b-45e0-8cda-cfb99e6494d3' class='xr-var-data-in' type='checkbox'><label for='data-9a7e2843-f09b-45e0-8cda-cfb99e6494d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span> :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([&#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, ..., &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BemonsteringsApparaat.Code</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; ... &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27;</div><input id='attrs-ec8b2e18-9586-4b44-9134-7716382815a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec8b2e18-9586-4b44-9134-7716382815a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f927599a-cd46-4f49-8367-757cefd92534' class='xr-var-data-in' type='checkbox'><label for='data-f927599a-cd46-4f49-8367-757cefd92534' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span> :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([&#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, ..., &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BemonsteringsMethode.Code</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; ... &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27;</div><input id='attrs-08e8b506-74ef-4a28-8a1c-60c394c346e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08e8b506-74ef-4a28-8a1c-60c394c346e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92409b92-c985-4f52-a4a0-c0f12ef51800' class='xr-var-data-in' type='checkbox'><label for='data-92409b92-c985-4f52-a4a0-c0f12ef51800' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span> :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([&#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, ..., &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MeetApparaat.Code</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;8000&#x27; &#x27;8000&#x27; ... &#x27;8000&#x27; &#x27;8000&#x27;</div><input id='attrs-846a9986-5b66-4cf3-9e30-7c8c4433195d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-846a9986-5b66-4cf3-9e30-7c8c4433195d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddda175e-5893-4b63-9e42-62cd4ea6a002' class='xr-var-data-in' type='checkbox'><label for='data-ddda175e-5893-4b63-9e42-62cd4ea6a002' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>8000 :</span></dt><dd>NVT</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;8000&#x27;, &#x27;8000&#x27;, &#x27;8000&#x27;, ..., &#x27;8000&#x27;, &#x27;8000&#x27;, &#x27;8000&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WaardeBepalingsMethode.Code</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;other:F012&#x27; ... &#x27;other:F012&#x27;</div><input id='attrs-8c792a0f-32f2-4576-a84d-10f0788f0f2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c792a0f-32f2-4576-a84d-10f0788f0f2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-537f9adc-5cf1-42c2-9da4-88e3c3ea436c' class='xr-var-data-in' type='checkbox'><label for='data-537f9adc-5cf1-42c2-9da4-88e3c3ea436c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>other:F012 :</span></dt><dd>Astronomische waterhoogte mbv harmonische analyse</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;other:F012&#x27;, &#x27;other:F012&#x27;, &#x27;other:F012&#x27;, ..., &#x27;other:F012&#x27;,\n",
+       "       &#x27;other:F012&#x27;, &#x27;other:F012&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WaardeBepalingsTechniek.Code</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; ... &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27;</div><input id='attrs-bc5aa77b-b62e-4540-a101-02e6c4f17d46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc5aa77b-b62e-4540-a101-02e6c4f17d46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3160f270-bef6-446b-ad50-7bc0ecbbb8d5' class='xr-var-data-in' type='checkbox'><label for='data-3160f270-bef6-446b-ad50-7bc0ecbbb8d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span> :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([&#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, ..., &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ProcesType</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;astronomisch&#x27; ... &#x27;astronomisch&#x27;</div><input id='attrs-b9fb60be-b7bd-4e96-81f1-846262acc54c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9fb60be-b7bd-4e96-81f1-846262acc54c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-405dda94-e125-4f5e-842a-dc711ce08831' class='xr-var-data-in' type='checkbox'><label for='data-405dda94-e125-4f5e-842a-dc711ce08831' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;astronomisch&#x27;, &#x27;astronomisch&#x27;, &#x27;astronomisch&#x27;, ...,\n",
+       "       &#x27;astronomisch&#x27;, &#x27;astronomisch&#x27;, &#x27;astronomisch&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Meetwaarde.Waarde_Numeriek</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-103.0 -106.0 -108.0 ... 93.0 96.0</div><input id='attrs-149501ed-3305-4658-b220-ce5ad2699116' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-149501ed-3305-4658-b220-ce5ad2699116' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fea06034-0b53-460f-85dd-62147b22c10f' class='xr-var-data-in' type='checkbox'><label for='data-fea06034-0b53-460f-85dd-62147b22c10f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-103., -106., -108., ...,   89.,   93.,   96.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-41630d53-164e-454b-9016-968a7d22f5bb' class='xr-section-summary-in' type='checkbox'  ><label for='section-41630d53-164e-454b-9016-968a7d22f5bb' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b1a98765-e786-4a76-81ed-ee166736bd4d' class='xr-index-data-in' type='checkbox'/><label for='index-b1a98765-e786-4a76-81ed-ee166736bd4d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-05-01 00:00:00&#x27;, &#x27;2019-05-01 00:10:00&#x27;,\n",
+       "               &#x27;2019-05-01 00:20:00&#x27;, &#x27;2019-05-01 00:30:00&#x27;,\n",
+       "               &#x27;2019-05-01 00:40:00&#x27;, &#x27;2019-05-01 00:50:00&#x27;,\n",
+       "               &#x27;2019-05-01 01:00:00&#x27;, &#x27;2019-05-01 01:10:00&#x27;,\n",
        "               &#x27;2019-05-01 01:20:00&#x27;, &#x27;2019-05-01 01:30:00&#x27;,\n",
-       "               &#x27;2019-05-01 01:40:00&#x27;, &#x27;2019-05-01 01:50:00&#x27;,\n",
-       "               &#x27;2019-05-01 02:00:00&#x27;, &#x27;2019-05-01 02:10:00&#x27;,\n",
-       "               &#x27;2019-05-01 02:20:00&#x27;, &#x27;2019-05-01 02:30:00&#x27;,\n",
        "               ...\n",
        "               &#x27;2020-01-31 22:30:00&#x27;, &#x27;2020-01-31 22:40:00&#x27;,\n",
        "               &#x27;2020-01-31 22:50:00&#x27;, &#x27;2020-01-31 23:00:00&#x27;,\n",
        "               &#x27;2020-01-31 23:10:00&#x27;, &#x27;2020-01-31 23:20:00&#x27;,\n",
        "               &#x27;2020-01-31 23:30:00&#x27;, &#x27;2020-01-31 23:40:00&#x27;,\n",
        "               &#x27;2020-01-31 23:50:00&#x27;, &#x27;2020-02-01 00:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=39739, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b6525753-6610-47f0-9612-b883b7b65cdb' class='xr-section-summary-in' type='checkbox'  ><label for='section-b6525753-6610-47f0-9612-b883b7b65cdb' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>BemonsteringsApparaat.Code :</span></dt><dd>NVT</dd><dt><span>BemonsteringsMethode.Code :</span></dt><dd>NVT</dd><dt><span>BioTaxon.Code :</span></dt><dd>NVT</dd><dt><span>BioTaxon_Compartiment.Code :</span></dt><dd>NVT</dd><dt><span>MonsterBewerkingsMethode.Code :</span></dt><dd>NVT</dd><dt><span>Orgaan.Code :</span></dt><dd>NVT</dd><dt><span>Parameter.Code :</span></dt><dd>NVT</dd><dt><span>PlaatsBepalingsApparaat.Code :</span></dt><dd>NVT</dd><dt><span>Typering.Code :</span></dt><dd>NVT</dd><dt><span>Groepering.Code :</span></dt><dd>NVT</dd><dt><span>WaardeBepalingstechniek.Code :</span></dt><dd>NVT</dd><dt><span>WaardeBewerkingsmethode.Code :</span></dt><dd>NVT</dd><dt><span>WaarnemingMetadata.OpdrachtgevendeInstantieLijst :</span></dt><dd>RIKZMON_WAT</dd><dt><span>WaarnemingMetadata.BemonsteringshoogteLijst :</span></dt><dd>-999999999</dd><dt><span>WaarnemingMetadata.ReferentievlakLijst :</span></dt><dd>NVT</dd><dt><span>AquoMetadata_MessageID :</span></dt><dd>2573</dd><dt><span>BioTaxonType :</span></dt><dd>NVT</dd><dt><span>BemonsteringsSoort.Code :</span></dt><dd>SB</dd><dt><span>Compartiment.Code :</span></dt><dd>OW</dd><dt><span>Eenheid.Code :</span></dt><dd>cm</dd><dt><span>Grootheid.Code :</span></dt><dd>WATHTE</dd><dt><span>Hoedanigheid.Code :</span></dt><dd>NAP</dd><dt><span>Code :</span></dt><dd>SCHEVNGN</dd><dt><span>Naam :</span></dt><dd>Scheveningen</dd><dt><span>Coordinatenstelsel :</span></dt><dd>25831</dd><dt><span>X :</span></dt><dd>586550.994420996</dd><dt><span>Y :</span></dt><dd>5772806.43069697</dd></dl></div></li></ul></div></div>"
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=39745, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c94c3a84-559c-4df8-a524-f7864111b215' class='xr-section-summary-in' type='checkbox'  ><label for='section-c94c3a84-559c-4df8-a524-f7864111b215' class='xr-section-summary' >Attributes: <span>(19)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Parameter.Code :</span></dt><dd>NVT</dd><dt><span>BioTaxon.Code :</span></dt><dd>NVT</dd><dt><span>Orgaan.Code :</span></dt><dd>NVT</dd><dt><span>Typering.Code :</span></dt><dd>NVT</dd><dt><span>WaardeBewerkingsMethode.Code :</span></dt><dd>NVT</dd><dt><span>WaarnemingMetadata.OpdrachtgevendeInstantie :</span></dt><dd>RIKZMON_WAT</dd><dt><span>WaarnemingMetadata.Bemonsteringshoogte :</span></dt><dd>-999999999</dd><dt><span>WaarnemingMetadata.Referentievlak :</span></dt><dd>NVT</dd><dt><span>BioTaxonType.Code :</span></dt><dd></dd><dt><span>BemonsteringsSoort.Code :</span></dt><dd></dd><dt><span>Compartiment.Code :</span></dt><dd>OW</dd><dt><span>Eenheid.Code :</span></dt><dd>cm</dd><dt><span>Grootheid.Code :</span></dt><dd>WATHTE</dd><dt><span>Hoedanigheid.Code :</span></dt><dd>NAP</dd><dt><span>Code :</span></dt><dd>ameland.nes</dd><dt><span>Naam :</span></dt><dd>Ameland, Nes</dd><dt><span>Coordinatenstelsel :</span></dt><dd>ETRS89</dd><dt><span>Lon :</span></dt><dd>5.759448</dd><dt><span>Lat :</span></dt><dd>53.429766</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.Dataset> Size: 2MB\n",
-       "Dimensions:                                       (time: 39739)\n",
+       "<xarray.Dataset> Size: 3MB\n",
+       "Dimensions:                                  (time: 39745)\n",
        "Coordinates:\n",
-       "  * time                                          (time) datetime64[ns] 318kB ...\n",
+       "  * time                                     (time) datetime64[ns] 318kB 2019...\n",
        "Data variables:\n",
-       "    WaarnemingMetadata.StatuswaardeLijst          (time) object 318kB 'Gecont...\n",
-       "    WaarnemingMetadata.KwaliteitswaardecodeLijst  (time) object 318kB '00' .....\n",
-       "    MeetApparaat.Code                             (time) object 318kB '127' ....\n",
-       "    WaardeBepalingsmethode.Code                   (time) object 318kB 'other:...\n",
-       "    Meetwaarde.Waarde_Numeriek                    (time) float64 318kB 44.0 ....\n",
-       "Attributes: (12/27)\n",
-       "    BemonsteringsApparaat.Code:                        NVT\n",
-       "    BemonsteringsMethode.Code:                         NVT\n",
-       "    BioTaxon.Code:                                     NVT\n",
-       "    BioTaxon_Compartiment.Code:                        NVT\n",
-       "    MonsterBewerkingsMethode.Code:                     NVT\n",
-       "    Orgaan.Code:                                       NVT\n",
-       "    ...                                                ...\n",
-       "    Hoedanigheid.Code:                                 NAP\n",
-       "    Code:                                              SCHEVNGN\n",
-       "    Naam:                                              Scheveningen\n",
-       "    Coordinatenstelsel:                                25831\n",
-       "    X:                                                 586550.994420996\n",
-       "    Y:                                                 5772806.43069697"
+       "    WaarnemingMetadata.Statuswaarde          (time) object 318kB 'Ongecontrol...\n",
+       "    WaarnemingMetadata.Kwaliteitswaardecode  (time) object 318kB '00' ... '00'\n",
+       "    Groepering.Code                          (time) object 318kB '' '' ... '' ''\n",
+       "    BemonsteringsApparaat.Code               (time) object 318kB '' '' ... '' ''\n",
+       "    BemonsteringsMethode.Code                (time) object 318kB '' '' ... '' ''\n",
+       "    MeetApparaat.Code                        (time) object 318kB '8000' ... '...\n",
+       "    WaardeBepalingsMethode.Code              (time) object 318kB 'other:F012'...\n",
+       "    WaardeBepalingsTechniek.Code             (time) object 318kB '' '' ... '' ''\n",
+       "    ProcesType                               (time) object 318kB 'astronomisc...\n",
+       "    Meetwaarde.Waarde_Numeriek               (time) float64 318kB -103.0 ... ...\n",
+       "Attributes: (12/19)\n",
+       "    Parameter.Code:                               NVT\n",
+       "    BioTaxon.Code:                                NVT\n",
+       "    Orgaan.Code:                                  NVT\n",
+       "    Typering.Code:                                NVT\n",
+       "    WaardeBewerkingsMethode.Code:                 NVT\n",
+       "    WaarnemingMetadata.OpdrachtgevendeInstantie:  RIKZMON_WAT\n",
+       "    ...                                           ...\n",
+       "    Hoedanigheid.Code:                            NAP\n",
+       "    Code:                                         ameland.nes\n",
+       "    Naam:                                         Ameland, Nes\n",
+       "    Coordinatenstelsel:                           ETRS89\n",
+       "    Lon:                                          5.759448\n",
+       "    Lat:                                          53.429766"
       ]
      },
      "execution_count": 14,
@@ -2661,12 +2788,10 @@
     }
    ],
    "source": [
-    "drop_if_constant = [\"WaarnemingMetadata.OpdrachtgevendeInstantieLijst\",\n",
-    "                    \"WaarnemingMetadata.BemonsteringshoogteLijst\",\n",
-    "                    \"WaarnemingMetadata.ReferentievlakLijst\",\n",
-    "                    \"AquoMetadata_MessageID\", \n",
-    "                    \"BioTaxonType\",\n",
-    "                    \"BemonsteringsSoort.Code\", \n",
+    "drop_if_constant = [\"WaarnemingMetadata.OpdrachtgevendeInstantie\",\n",
+    "                    \"WaarnemingMetadata.Bemonsteringshoogte\",\n",
+    "                    \"WaarnemingMetadata.Referentievlak\",\n",
+    "                    \"BioTaxonType.Code\", \"BemonsteringsSoort.Code\", \n",
     "                    \"Compartiment.Code\", \"Eenheid.Code\", \"Grootheid.Code\", \"Hoedanigheid.Code\",\n",
     "                    ]\n",
     "ds = ddlpy.dataframe_to_xarray(measurements, drop_if_constant=drop_if_constant)\n",
@@ -2697,7 +2822,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,