From 3c768f167fbb7515206b63b90020e57708ebbc4d Mon Sep 17 00:00:00 2001
From: David Huard <huard.david@ouranos.ca>
Date: Fri, 16 Apr 2021 16:35:20 -0400
Subject: [PATCH 1/4] update remaining nb. mv bias to sandbox

---
 .../notebooks/Full_process_example_1.ipynb    | 88 +++++++++----------
 .../Subset_climate_data_over_watershed.ipynb  | 15 ++--
 docs/source/notebooks/index.rst               |  1 -
 .../Bias_correcting_climate_data.ipynb        |  0
 raven/processes/wps_regionalisation.py        |  1 -
 5 files changed, 50 insertions(+), 55 deletions(-)
 rename docs/source/notebooks/{ => sandbox}/Bias_correcting_climate_data.ipynb (100%)

diff --git a/docs/source/notebooks/Full_process_example_1.ipynb b/docs/source/notebooks/Full_process_example_1.ipynb
index 52b73ea2..3cfc895f 100644
--- a/docs/source/notebooks/Full_process_example_1.ipynb
+++ b/docs/source/notebooks/Full_process_example_1.ipynb
@@ -11,13 +11,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Import the necessary libraries to format, send, and parse our returned results.\n",
     "# TODO: Cleanup\n",
-    "\n",
     "import os\n",
     "import json\n",
     "from birdy import WPSClient\n",
@@ -50,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -75,13 +74,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "188a128a953049399b2d50aa2aa8525c",
+       "model_id": "6c8534cae5d447ac9c8c91d63716f62d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -131,7 +130,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -140,7 +139,7 @@
        "[-71.41, 47.96]"
       ]
      },
-     "execution_count": null,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -161,7 +160,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -171,7 +170,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -204,7 +203,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -231,17 +230,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Area:  539.0315395549537\n",
+      "Area:  539.0313783446244\n",
       "Elevation:  770.6216454535962\n",
-      "Longitude:  -71.29316307348151\n",
-      "Latitude:  47.83930090903027\n"
+      "Longitude:  -71.29316307348144\n",
+      "Latitude:  47.83930090903017\n"
      ]
     }
    ],
@@ -266,7 +265,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -278,17 +277,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'area': 539.0315395549537,\n",
-       " 'longitude': -71.29316307348151,\n",
-       " 'latitude': 47.83930090903027,\n",
-       " 'gravelius': 2.174992976617086,\n",
-       " 'perimeter': 179006.94445911082,\n",
+       "{'area': 539.0313783446244,\n",
+       " 'longitude': -71.29316307348144,\n",
+       " 'latitude': 47.83930090903017,\n",
+       " 'gravelius': 2.1749929765886815,\n",
+       " 'perimeter': 179006.91768860785,\n",
        " 'Ocean': 0.0,\n",
        " 'Forest': 0.928452760032436,\n",
        " 'Shrubs': 0.018500754863761924,\n",
@@ -334,7 +333,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -348,8 +347,8 @@
     ")\n",
     "finch = WPSClient(finch_url)\n",
     "\n",
-    "NRCAN_url = \"https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/datasets/gridded_obs/nrcan_v2.ncml\"\n",
-    "ERA5_url = \"https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/datasets/reanalyses/era5.ncml\"\n",
+    "# NRCAN_url = \"https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/datasets/gridded_obs/nrcan_v2.ncml\"\n",
+    "# ERA5_url = \"https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/datasets/reanalyses/era5.ncml\"\n",
     "ERA5_tas = \"https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/birdhouse/ecmwf/era5_rechunk/tas_era5_reanalysis_hourly_2020.nc\"\n",
     "ERA5_pr = \"https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/birdhouse/ecmwf/era5_rechunk/pr_era5_reanalysis_hourly_2020.nc\"\n",
     "\n",
@@ -363,15 +362,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Metalink content-type detected.\n",
-      "Downloading to /tmp/tmpds6kyv5l/tas_era5_reanalysis_hourly_2020_sub.nc.\n"
+      "Downloading to /tmp/tmp5f0z2z0d/tas_era5_reanalysis_hourly_2020_sub.nc.\n"
      ]
     },
     {
@@ -739,10 +737,10 @@
        "Attributes:\n",
        "    Conventions:  CF-1.6\n",
        "    history:      2021-04-09 13:50:26 GMT by grib_to_netcdf-2.16.0: /opt/ecmw...\n",
-       "    crs:          +proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs lon_wrap=1...</pre><div class='xr-wrap' hidden><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-8c9b843e-203a-4969-b798-7014cb066d91' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8c9b843e-203a-4969-b798-7014cb066d91' 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'>latitude</span>: 1</li><li><span class='xr-has-index'>longitude</span>: 1</li><li><span class='xr-has-index'>time</span>: 217</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dbb83a15-810a-42f6-bf03-4c4607467dbd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dbb83a15-810a-42f6-bf03-4c4607467dbd' class='xr-section-summary' >Coordinates: <span>(3)</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'>2020-06-01 ... 2020-06-10</div><input id='attrs-69480ca4-f05d-4980-9e18-ee18884b8a42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69480ca4-f05d-4980-9e18-ee18884b8a42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0faa234f-0c9e-4180-b3e8-735f4a2705c0' class='xr-var-data-in' type='checkbox'><label for='data-0faa234f-0c9e-4180-b3e8-735f4a2705c0' 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>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-06-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T01:00:00.000000000&#x27;,\n",
+       "    crs:          +proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs lon_wrap=1...</pre><div class='xr-wrap' hidden><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-26235d0e-b43c-4a30-af70-43bca1becaba' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-26235d0e-b43c-4a30-af70-43bca1becaba' 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'>latitude</span>: 1</li><li><span class='xr-has-index'>longitude</span>: 1</li><li><span class='xr-has-index'>time</span>: 217</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-66efda70-bcab-4ebd-a813-3b8551f8ecdc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66efda70-bcab-4ebd-a813-3b8551f8ecdc' class='xr-section-summary' >Coordinates: <span>(3)</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'>2020-06-01 ... 2020-06-10</div><input id='attrs-1fc7741f-4bb1-4843-b154-bb47d16d7561' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fc7741f-4bb1-4843-b154-bb47d16d7561' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ed7d6e0-920e-4dfe-a42d-80d5145a4a6c' class='xr-var-data-in' type='checkbox'><label for='data-1ed7d6e0-920e-4dfe-a42d-80d5145a4a6c' 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>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-06-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T01:00:00.000000000&#x27;,\n",
        "       &#x27;2020-06-01T02:00:00.000000000&#x27;, ..., &#x27;2020-06-09T22:00:00.000000000&#x27;,\n",
        "       &#x27;2020-06-09T23:00:00.000000000&#x27;, &#x27;2020-06-10T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>47.75</div><input id='attrs-f64eff11-ed01-48c1-be17-dc4e19c0dddf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f64eff11-ed01-48c1-be17-dc4e19c0dddf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7b00394-bdc2-4831-96dd-1d409e210534' class='xr-var-data-in' type='checkbox'><label for='data-f7b00394-bdc2-4831-96dd-1d409e210534' 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>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([47.75], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>288.8</div><input id='attrs-4a2d666c-460a-410c-becc-b1ec6c85d334' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a2d666c-460a-410c-becc-b1ec6c85d334' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07c9a168-cb36-4885-b6a3-38c7cd7ad51a' class='xr-var-data-in' type='checkbox'><label for='data-07c9a168-cb36-4885-b6a3-38c7cd7ad51a' 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>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([288.75], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b1e4e6b1-df7a-4c5f-ab6f-05974b2fc082' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b1e4e6b1-df7a-4c5f-ab6f-05974b2fc082' class='xr-section-summary' >Data variables: <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>t2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5095190e-414d-4065-8f99-1e32fa89ee73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5095190e-414d-4065-8f99-1e32fa89ee73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-628c1f79-ec29-4619-8412-152f48906bc4' class='xr-var-data-in' type='checkbox'><label for='data-628c1f79-ec29-4619-8412-152f48906bc4' 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>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>_ChunkSizes :</span></dt><dd>[2928   25   50]</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[273.18036]],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>47.75</div><input id='attrs-d874671f-a9fc-43f7-81dc-91474e5f2d3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d874671f-a9fc-43f7-81dc-91474e5f2d3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2db85eac-c7e4-4dcc-9e3f-2925b5101962' class='xr-var-data-in' type='checkbox'><label for='data-2db85eac-c7e4-4dcc-9e3f-2925b5101962' 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>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([47.75], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>288.8</div><input id='attrs-4a37d888-c717-443f-a4ba-e8c5227f6ac1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a37d888-c717-443f-a4ba-e8c5227f6ac1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8527d142-f96b-4afa-b99d-05ce3df72498' class='xr-var-data-in' type='checkbox'><label for='data-8527d142-f96b-4afa-b99d-05ce3df72498' 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>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([288.75], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b0f53ff6-a8cb-4bbf-9a08-3189d3aebee6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b0f53ff6-a8cb-4bbf-9a08-3189d3aebee6' class='xr-section-summary' >Data variables: <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>t2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-81140ff1-df1e-4dfa-bcfa-cb01ea8d4b01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81140ff1-df1e-4dfa-bcfa-cb01ea8d4b01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64deecb5-5ec0-48b3-aee7-b61c1cd10f33' class='xr-var-data-in' type='checkbox'><label for='data-64deecb5-5ec0-48b3-aee7-b61c1cd10f33' 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>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>_ChunkSizes :</span></dt><dd>[2928   25   50]</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[273.18036]],\n",
        "\n",
        "       [[272.2012 ]],\n",
        "\n",
@@ -750,7 +748,7 @@
        "\n",
        "       [[285.2515 ]],\n",
        "\n",
-       "       [[285.0866 ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8a11a2ae-9c32-41b3-8333-be839e07a519' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8a11a2ae-9c32-41b3-8333-be839e07a519' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>2021-04-09 13:50:26 GMT by grib_to_netcdf-2.16.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -S param -o /cache/data8/adaptor.mars.internal-1617975342.3352108-16291-15-79336316-ccdb-4719-a67e-0fed18ce01a1.nc /cache/tmp/79336316-ccdb-4719-a67e-0fed18ce01a1-adaptor.mars.internal-1617975342.3356965-16291-3-tmp.grib</dd><dt><span>crs :</span></dt><dd>+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs lon_wrap=180 +type=crs</dd></dl></div></li></ul></div></div>"
+       "       [[285.0866 ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cf10e51d-caa1-457e-8cb4-9056cc38b886' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cf10e51d-caa1-457e-8cb4-9056cc38b886' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>2021-04-09 13:50:26 GMT by grib_to_netcdf-2.16.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -S param -o /cache/data8/adaptor.mars.internal-1617975342.3352108-16291-15-79336316-ccdb-4719-a67e-0fed18ce01a1.nc /cache/tmp/79336316-ccdb-4719-a67e-0fed18ce01a1-adaptor.mars.internal-1617975342.3356965-16291-3-tmp.grib</dd><dt><span>crs :</span></dt><dd>+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs lon_wrap=180 +type=crs</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -790,14 +788,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
     "# SETUP THE RUN PARAMETERS. The data will be extracted to cover the simulation period\n",
     "\n",
     "# Choose a hydrological model to use. We have 'HMETS', 'GR4JCN','MOHYSE' and 'HBVEC'.\n",
-    "hydromodel = \"HMETS\"\n",
+    "hydromodel = \"GR4JCN\"\n",
     "UTCoffset_hours = -6  # for UTC delta\n",
     "\n",
     "config = dict(\n",
@@ -830,7 +828,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -859,22 +857,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7fb81714cf40>]"
+       "[<matplotlib.lines.Line2D at 0x7fdb3c4da190>]"
       ]
      },
-     "execution_count": null,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEyCAYAAADk55cIAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAAsTAAALEwEAmpwYAAA2TElEQVR4nO3dd3gc5bn38e9PsiRLbpJt2ZarbEPABowNsunGtBxKaCmEGggkpoSU9+TkBPKe84Z00suhGHOoIYGQkAAhhJAQF0y1DKZDsOWOi1xkyahY5X7/mJFZC1laW7uaHen+XNdeu1N296eRtPc+z8w8IzPDOeec25OsqAM455zLbF4onHPOdcgLhXPOuQ55oXDOOdchLxTOOec65IXCOedch7xQOOec65AXCtclklZKOjnFr3mRpCdT+Zou/STdIOm+FL3WLElrU/Faruu8ULiMY2a/MbOPRp2jJ5JkkvaLOoeLFy8UzrmkSOoTdQYXDS8ULhWmS3pT0jZJd0nqCyCpSNJjkirDZY9JGt36JEmXSaqQVCNphaSLEuYvSljPJF0l6d3wdW6WpI4Ctb6GpJ+Ez1kh6bSE5Z+V9Fb43hWSrkxYNkvSWkn/KWmTpPWSzpF0uqR/Sdoq6RsJ62dJuk7ScklbJD0oaXBqNu2u91gl6fDw8cXhNpkcTn9O0sPh4xmSnpNUFea+SVJuuGxh+HKvSNoh6dPh/I9JWho+51lJUxLed6Wkr0t6FXhfUp9wel247d6RdFJC1FxJ94bL3pBUlvBaIyU9FP49rJD0pYRl+ZLuDn9XbwLTU7n9XBeZmd/8ts83YCXwOjAGGAw8A3w3XDYE+ARQAAwAfg88HC7rB1QDB4TTJcBB4ePLgEUJ72HAY0AhMBaoBE7tJNdlQCPweSAbuBp4D1C4/AxgIiDgeKAWOCxcNgtoAv4fkBO+RiXw2/DnOAioByaE638FeB4YDeQBtwH37yHXWKCqg9uFe3jevcBXw8dzgeXA1QnL/k/4+HDgSKAPUAq8BXylzbbcL2H6MGATcES4nS4Nf6d5Cb/fpeHvNx84AFgDjAyXlwITw8c3hNvl9PC1fgA8Hy7LApaE2zQXmABUAP8WLr8ReJrgb2gMwd/U2qj/vv0W/p1EHcBv8b6FHyRXJUyfDizfw7pTgW3h437hB+MngPw2613GhwvFsQnTDwLXdZLrMmBZwnRB+Doj9rD+w8CXw8ezgDogO5weED73iIT1lwDnhI/fAk5KWFZCUKT6pHA7XwE8mvB+nwMeCKdXERa5dp73FeBPbbZlYqG4FfhOm+e8Axyf8Pu9PGHZfgSF5WQgp83zbgD+kTA9GagLHx8BrG6z/vXAXeHjChKKPzDbC0Xm3LzryaXCmoTHq4CRAJIKJN0WdptUAwuBQknZZvY+8GngKmC9pL9IOrCD99iQ8LgW6J9Erl3PMbPa8GH/MNtpkp4Pu5GqCArc0ITnbjGz5vBxXXi/MWF5XUKGccCfwq6bKoIP8mZgeBIZk7UAOE7SCIJv678DjpFUCgwi+NaPpI+EXXwbwm3+/TY/V1vjgK+2Zg/zjyH8HYZ2/X7NbBlB8bkB2CTpAUmJ67b9PfUN922MA0a2eZ9v8ME2GsmH/45chvBC4VJhTMLjsQRdPABfJeiqOMLMBgIzw/kCMLO/mdkpBN/A3wZu746wkvKAh4CfAMPNrBB4vDXXPlgDnGZmhQm3vma2rp33HhvuH9jT7aL23iD8gK4FvgQsNLMagg/l2QStr5Zw1VsJtuX+4Tb/Ric/1xrge22yF5jZ/Ylv3ybLb83sWIIPfwN+2PkmYg2wos37DDCz08Pl6/nw35HLEF4oXCp8QdLocAfuNwi+7ULQZVMHVIXLvtn6BEnDJZ0lqR/QAOwg+BbeHXIJ9iVUAk3hTu6uHI47B/iepHEAkoolnd3eima22sz6d3D7TQfvswC4NrwHmN9mGoJtXg3sCFtoV7d5jY0E+wda3Q5cJekIBfpJOkPSgPYCSDpA0olhsa0n+P0m83t7EagOd4TnS8qWdLCk1p3WDwLXKzgAYjTwxSRe03UTLxQuFX4LPEnQz1wBfDec/wuCHaCbCXb2PpHwnCyCFsd7wFaCHcrXdEfY8Nv4lwg+nLYBFwKPduElfxk+/0lJNQQ/6xFdzdmOBQSFYOEepgH+g+DnqSEoAr9jdzcA94TdP+eZWTnBzvqbCLbFMoL9O3uSR7DjeTNBi2YYwZeDDoXdeGcS7KdaET7/fwm6zQC+RdDdtILgb+nXnb2m6z6tR4A455xz7fIWhXPOuQ55oXCxJWnOHnYIz4k6m3M9iXc9Oeec65C3KJxzznWoRw7yNXToUCstLY06hnPOxcaSJUs2m1lxe8t6ZKEoLS2lvLw86hjOORcbkvZ4NnxGdT2FJ+G8LOmxcHqwpL8rGDX075KKos7onHO9TUYVCuDLBOPktLoOeMrM9geeCqedc851o4wpFOFp+2cQnK3Z6mzgnvDxPcA53RzLOed6vYwpFATDPfwn0JIwb7iZrQcI74dFkMs553q1jCgUkj4GbDKzJV14jdmSyiWVV1ZWpjCdc871bhlRKIBjgLMkrQQeAE6UdB+wUVIJQHi/aU8vYGZzzazMzMqKi9s9wss559w+yIhCYWbXm9loMysFzgf+aWYXE4zIeWm42qXAIxFFdM65jLWzqYU33tvOwn+lpzcl08+juBF4UNIVwGrgUxHncc65SFXV7uTN9dW8+V71rvtlm3bQ1GIUD8hj8f89OeXvmXGFwszmE1yQBTPbApwUZR7nnIuCmbF2Wx1vJBSEt9ZXs66qbtc6xQPymFwykBMOHMbkkoFMHjkQM0Pa14s1ti/jCoVzzvU2DU3NvLtxx24thbfWV1NT3wSABBOG9uOwcUVcfOQ4Jo8cyKSSAQwb0Ldb8nmhcM65btRR1xFAfk42B5YM4KxDRzJ55EAmlwzkgBEDKMiN7uPaC4VzzqVBMl1HwwbkMXnkQE48cNiuojBuSD+ys1LbddRVXiicc66LOus6yhJMKO7P4eOKuOSocUwuGcikkoEUD8iLOHlyvFA459xeSKbraFLJAM6eOpLJJYOYPHIgBwwfQH5udsTJ950XCueca0dP6jrqKi8UzjkHNLcYb62vpnzlVhav2kb5yq1srG4A4t911FVeKJxzvVLdzmZeXrON8pXbWLxyKy+vrmJHQ7BPoWRQX44YP4Sy0iKmjC6MfddRV3mhcM71Clt2NFAethQWr9zG6+u209RiSHDA8AGcM20k00sHU1Y6mFGF+VHHzSheKJxzPY6ZsWpLLYtXbg1aDKu2UlH5PgC5fbKYOrqQ2TMnML10MIeNLWJQQU7EiTObFwrXLV5ft52GphbGFOUztH8eWT1sZ5+LVlNzC2+ur2bxyg9aDJt3BPsXBuXnML20iPPKxjC9tIiDRw0ir0/v7UbaF14oXNqt2Pw+Z9/8DM3h4YO52VmMKspndFE+owqD+9FFBbvmDRvQt8cdNeJS6/2GJl5eXRW0GFYF+xdqdzYDMGZwPjP3H0pZ6WCmlxYxsbi/fzHpIi8ULu3mzF9Onyxx0wXT2LyjgbVVdazdFtzeemsjm3fs3G39nGxRMqi1gOQzqrBg1+PRgwsYPiCPPtkZMUK+6yabaup37XQuX7mNN9dX09xiZAkmlQzkvLIxlJUWUTZuMCMGdc/4R72JFwqXVu9V1fHHl9dy4YyxnHZISbvr1O1sZl1VHWu31Yb3wW3dtlrmv1PJppqG3dbPzhIlg/p+qIiMKspnTFEBIwb1JccLSWyZGRWb32fxiqALqXzVVlZtqQWgb04WU8cUcs2siZSVDmba2EIG9vX9C+nmhcKl1dyFFZjB7OMn7nGd/Nxs9hvWn/2G9W93eX1jM+u317N2W21YQOp2PX52+WY2VNdj9sH6WYIRA/syuqhgVwHZ1b1VmE9JYV/vo84grRfd2dViWLWNre8HrczB/XIpG1fExUeMo6y0iINGDiK3j38J6G5eKFzabN7RwP0vrubjh43q0uGGfXOyGT+0H+OH9mt3+c6mFtZvby0gYREJWyYvrNjK+qV1tCQUEgmGD+jbbhEZXZTPyMJ8+uZ4IUmXmvpGXlpdFe503srSNVXUN7YAUDqkgBMPHMb00iLKSgczYWi/lF9bwe09LxQube5YtILG5hau6qA1kQq5fbIYN6Qf44a0X0gam1vYsL0+aI1U1e3WMnlp9Tb+8ur6XeP0tBrSL5dBBTkU5ucwKD+HwoJcBu16HNyC6dyExzm9qsurucWoqW9ke10jVbWNVNU1UlW7k+rdpoPl2+t27pq3ZUcDLRZ0IR40ciAXzhjH9NIiDi8t6rbrK7i9kzGFQlJfYCGQR5DrD2b2TUk3AJ8HWi8G+w0zezyalC5Z2+sa+fVzqzj9kBImFLffpdRdcrKzGDO4gDGDC9pd3txibKyu39UaWbetjvXV9Wyva6S6rpHNO3ayrHIH22sbqQ5HA92T/nl9disoH9znflBkwuWDCj4oQP1ysyP75lzf2Bx8uCd8sFfV7txVALbXfVAEgg/9YH51feNuXX5t9cvNprAgl4H5wc+837D+FBbkMGJgPmWlRUwdU0i/vIz5CHIdyKTfUgNwopntkJQDLJL013DZz83sJxFmc3vp3mdXsqOhiWtm7Rd1lE5lZ4mRhUGX04zxgztct7nFdn2obm/nw7PtN+hlm3YE69Y2srO5ZY+v2ydLFBbk7PpQbduC+aDIhB+8YcEZGLZizIyahia21yZ+w9+ZkCfIuvt0sE5rt097ssRuLaqiglzGD+0XFLuC3IQW1+4FcVB+ju9L6EEyplCYmQE7wsmc8NbB9xWXqd5vaOLOZ1ZwUjiiZk+SnSWK+uVS1C93r55nZtQ3tuz24R3c79yt62Z7WFQ21dTzr401bK9r3HVNgz0pyM2moall13kq7embk0Vh64d4QQ5jBxcwZfTu3Wq7ClJrd1pBDv1z+/g5CC5zCgWApGxgCbAfcLOZvSDpNOBaSZ8ByoGvmtm2dp47G5gNMHbs2G5M7dq6/8XVbKtt5AsnZn5rortIIj83m/zcfEoG7d2O/abmFqrrmz5oFYRdYq0tmOr6RvJzsj/UIkncd+I7511XyDrqZIyIpELgT8AXCfZNbCZoXXwHKDGzyzt6fllZmZWXl6c7pmtHQ1MzM380jwlD+3P/7COjjuOcS5KkJWZW1t6yjOxENLMqYD5wqpltNLNmM2sBbgdmRJnNdeyhJevYWN3Atd6acK7HyJhCIak4bEkgKR84GXhbUuLpvOcCr0cQzyWhqbmFOQuWM3VMIUdPHBJ1HOdcimTSPooS4J5wP0UW8KCZPSbp15KmEnQ9rQSujC6i68ifX32P1Vtr+e+PTfaTpJzrQTKmUJjZq8C0duZfEkEct5daWoxb5i3nwBEDOOnAYVHHcc6lUMZ0Pbl4e/LNjby7aQdXz5roh1M618N4oXBdZmbcMn8ZpUMK+NiUkVHHcc6lmBcK12VPv7uZV9du5+pZE/2CQ871QF4oXJfdNG8ZJYP6cu600VFHcc6lgRcK1yWLV27lxRVbmT1zgo/t41wP5f/ZrktunreMIf1yOX+6D5viXE/lhcLts9fXbWf+O5Vcfux48nN9LCHneiovFG6f3TJ/GQP69uGSo8ZFHcU5l0ZeKNw+Wbaphr++voFLjyr1i9s718N1WCgkHSjpr5L+ImmipLslVUl6UdKk7grpMs+t8yvo2yeby48dH3UU51yaddaimAvcAtwH/BN4AigiGO77pvRGc5lqzdZaHl66jgtmjGXwXl7AxzkXP50VigFm9mczux9oNLMHLPBngoLheqHbFi4nW2L2zAlRR3HOdYPOCkXioSw/a7PMv0r2Qpuq63mwfC2fOHw0Iwb1jTqOc64bdFYobpbUH8DMbmmdKWk/4B/pDOYy0/8uWkFTcwtXHe+tCed6iw4LhZndBjQCSMpLmL/MzL6S3mgu01TV7uS+51dx1qEjGTekX9RxnHPdJJnDY+dI6kuwU9v1Ync9s5Lanc1cPcsvc+pcb9LZ4bHHA+XA08ASSTPTFURS3/Cw21ckvSHpW+H8wZL+Lund8N53okdgR0MTdz+7ko9OHs4BIwZEHcc5142SPeGuO8aObgBONLNDganAqZKOBK4DnjKz/YGnwmnXzX7z/Cq21zXyhRO8NeFcb9PZPooFwHTgOKDMzBamK0h42O2OcDInvBlwNnBPOP8e4Jx0ZXDtq29s5vanV3Dc/kM5dExh1HGcc90smRbFVWZWB1yT7jCSsiUtBTYBfzezF4DhZrYeILxv94LMkmZLKpdUXllZme6ovcrvy9eweUeDtyac66WSKRS3hjuzb053GDNrNrOpwGhghqSD9+K5c82szMzKiouL05axt2lsbmHOggoOH1fEEeMHRx3HOReBznZmz6SbdmYnMrMqYD5wKrBRUkmYp4SgteG6ycMvr2NdVR3XnrAfkl/m1LneqLMWhdrcp42kYkmF4eN84GTgbeBR4NJwtUuBR9KdxQWaW4xbFyxncslAZh3grTTnequM2ZkNlADzJL0KLCbYR/EYcCNwiqR3gVPCadcNnnh9AxWV7/MFb00416v1SWKdq8ysXlJad2ab2avAtHbmbwFOSud7uw8zM26et4wJxf049eARUcdxzkWo00IRFonxwBcllSY+x8zOSmM2F6H571Ty5vpqfvKpQ8nO8taEc71ZMi0KgIeBO4A/Ay1pS+Mygplx07xljCrM5+ypI6OO45yLWLKFot7MfpXWJC5jvLBiK0tWbeM7Zx9ETrZfLde53i7ZQvFLSd8EniQYagMAM3spLalcpG6et4yh/fP4VNmYqKM45zJAsoXiEOAS4EQ+6HqycNr1IK+sqeLpdzdz/WkH0jcnu/MnOOd6vGQLxbnABDPbmc4wLno3z1vGoPwcLjpyXNRRnHMZItkO6FeAwjTmcBngnQ01PPnmRi47upT+ecl+h3DO9XTJfhoMB96WtJjd91H44bE9yK3zl1GQm81njymNOopzLoMkWyi+mdYULnKrtrzPo6+8x+eOm0BhQW7UcZxzGSSpQhEO5eF6sDkLltMnO4vPHTs+6ijOuQzT2eixj3X2Asms4zLbhu31/GHJWj5dNoZhA/tGHcc5l2E6a1EcK+nRDpYLmJzCPC4CcxdW0GIwe+aEqKM45zJQZ4Xi7CReww+ZjbEtOxq4/8XVnDN1FGMGF0QdxzmXgTosFL5voue765mV1Dc1c/WsiVFHcc5lKB/Ipxerrm/knudWctrBI9hvWP+o4zjnMpQXil7s18+toqa+iWtm7Rd1FOdcBtvrQiGpSNKUVAeRNEbSPElvSXpD0pfD+TdIWidpaXg7PdXv3RvV7WzmzkUrmHVAMQePGhR1HOdcBkvqPApJ84GzwvWXApWSFpjZv6cwSxPwVTN7SdIAYImkv4fLfm5mP0nhe/V6DyxezZb3d3LtCd6acM51LNkWxSAzqwY+DtxlZocDJ6cyiJmtbx223MxqgLeAUal8DxfY2dTC3IUVzBg/mLLSwVHHcc5luGQLRR9JJcB5QNpPsAsvuToNeCGcda2kVyXdKaloD8+ZLalcUnllZWW6I8baH19ay/rt9d6acM4lJdlC8W3gb8AyM1ssaQLwbjoCSeoPPAR8JWzF3ApMBKYC64Gftvc8M5trZmVmVlZcXJyOaD1CU3MLty5YzpTRgzhu/6FRx3HOxUCygwL+2cx+3zphZhXAJ1IdRlIOQZH4jZn9MXyvjQnLb6cbWjQ92V9eW8+qLbXMufhwJEUdxzkXA8kWitclbQSeBhYCz5jZ9lQGUfCpdQfwlpn9LGF+iZmtDyfPBV5P5fv2Ji0txi3zlrP/sP58dPLwqOM452Ii2dFj95M0FjgO+Bhwi6QqM5uawizHEFxu9TVJS8N53wAukDSV4NKrK4ErU/ievcpTb2/inY01/PzTh5KV5a0J51xykj08djTBB/lxwKHAG8CiVAYxs0UEgwy29Xgq36e3MjNumreMsYMLOHPKyKjjOOdiJNmup9XAYuD7ZnZVGvO4NHl2+RZeWVPF9889hD7ZfkK+cy55yX5iTAPuBS6U9JykeyVdkcZcLsVu+ucyhg/M4xOH+6kpzrm9k+w+ilckLQeWE3Q/XQzMJNj57DLcklXbeK5iC/91xiTy+mRHHcc5FzPJ7qMoB/KAZwn2Tcw0s1XpDOZS55Z5yygqyOHCI8ZGHcU5F0PJ7qM4zcz8dOcYevO9ap56exNfPeUjFOQm++t2zrkPJLuPYqekn7UOkSHpp5J8yNEYuGX+Mvrn9eEzR5dGHcU5F1PJFoo7gRqCsZ7OA6qBu9IVyqVGReUO/vLaei45ahyD8nOijuOci6lk+yImmlnikB3fSjgpzmWoW+cvJ69PFlccOz7qKM65GEu2RVEn6djWCUnHAHXpieRSYV1VHX96eR3nTx/L0P55UcdxzsVYsi2Kq4F7wv0SArYCl7VdSdLHk3itejPzs63TbO6C5Ugwe+aEqKM452Iu2fMolgKHShoYTlfvYdXbgUdofyiOVjPxYTnSqrKmgQcWr+Hj00YzsjA/6jjOuZjrsFBIavdSp63DUyeO8hr6q5ld3slr3rc3Ad3eu2PRChqbW7hq1sSoozjneoDOWhQD9ubFzOziVKzj9t322kbue34VZ0wZyfih/aKO45zrATorFAVm9nVJn0q8cNG+kHSKmf29K6/hOnfPcyvZ0dDENd6acM6lSGdHPZ0eXnXu+hS8l48LlWbvNzRx5zMrOHnSMCaVDIw6jnOuh+isRfEEsBnoJylxB7YAM7PdPo0kPbqH1xEwZJ9TuqTc/+JqqmobueaE/aKO4pzrQTosFGb2NeBrkh4xs7OTeL3WkWV3tJkvYEZHT5Q0hmAo8xFACzDXzH4paTDwO6CU4Ap355nZtiSy9Cr1jc3MXVjB0ROHcNjYoqjjOOd6kGRPuHu77QxJP2xnveeBWjNb0OY2H3ink/doAr5qZpOAI4EvSJoMXAc8ZWb7A0+F066NPyxZy6aaBq711oRzLsWSLRSntDPvtLYzzOw0M5vX3guY2cyO3sDM1pvZS+HjGuAtYBRwNnBPuNo9wDlJZu41mppbmLNgOdPGFnLURO/hc86lVoeFQtLVkl4DDpT0asJtBfBqMm8g6WN7G0pSKcFV9V4AhpvZegiKCTBsD8+Z3Tq6bWVl7xoR/dFX3mPttjq+MGu/Xee4OOdcqnS2M/u3wF+BH7B7l0+NmW1N8j2+DTyWbCBJ/YGHgK+YWXWyH3xmNheYC1BWVmbJvl/ctbQYt8xfzoEjBnDSpHZrqHPOdUmHLQoz225mK4GvA5Zw6y8p2culJf0VNzwU9yHgN2b2x3D2Rkkl4fISYFOyr9cbPPnmBpZt2sE1J3hrwjmXHskOCvgXggIhoC8wnmDn9EFJPPfKZN5AwafcHcBbbYYGeRS4FLgxvH8kycw9nplx07xljB/ajzMOKYk6jnOuh0pqZ7aZHWJmU8L7/QkOdV3U3rqSvhvefzt87otJZjkGuAQ4UdLS8HY6QYE4RdK7BDvVb0zy9Xq8he9u5vV11Vx9/ESys7w14ZxLj326iLKZvSRp+h4WL5Z0M/C3vXzNRey5m+qkvXmt3uLmfy5j5KC+nDNtVNRRnHM9WFKFos0oslnAYcCHDi2S9E1gMHAB0CRpqpl9OxVB3e5eXLGVF1du5YYzJ5PbJ9mjnJ1zbu8l+wkzIOGWR7DP4kNnapvZt8KHR4XTXiTS5Nb5yxjSL5dPT0/2mALnnNs3yV646FsAkgYEk9Z2iI5Ed5rZO5LuTEVA92Fvb6hm3juVfPWUj5Cfmx11HOdcD5dUi0LSwZJeBl4H3pC0RNLBe1j9U+H9J1IR0H3Y3AUVFORmc8lR46KO4pzrBZLtepoL/LuZjTOzccBXw3ntad2ZXZ6KgG5366rqePSV9zh/+lgKC3KjjuOc6wWSPeqpX+IYTmY2X9KHLp/mO7PT746nVwBwxXHjI07inOstkm1RVEj6b0ml4e2/gBVtV/Kd2elVVbuTBxav5qxDRzKqMD/qOM65XiLZQnE5UAz8MbwNBT67h3XvAqYQDMWBpP+S9EdJh3Uxa6/36+dWUbuzmdnHT4g6inOuF0n2qKdtwJeSXHeppHvNbIqkY4F/A34C3Aocsc9Je7n6xmbufnYlJxxQzIEj/DKnzrnuk64ztZrD+zOAW83sEcD3vHbB75esZcv7O7nq+IlRR3HO9TLpKhTrJN0GnAc8Likvje/V4zU1t3D7wgqmjS1kxvjBUcdxzvUy6frwPo9grKdTzayK4Eior6XpvXq8J97YwOqttVw5c6IPJe6c63Yd7qOQ9D8Ew4u3y8za3W9hZrUEO71bp9cD6/cxY69mZsxZsJwJQ/vx0cnDo47jnOuFOmtRlANLCK5BcRjwbnibygf7IVwaPbt8C6+vq2b2zAlk+VDizrkIdNiiMLN7ACRdBpxgZo3h9BzgybSnc8xZsJziAXmce5gPJe6ci0ay+yhGEowc26p/OM+l0evrtvP0u5u5/Jjx5PXxwf+cc9FItlDcCLws6W5JdwMvAd9PZRBJd0raJOn1hHk3SFrX5op3vcZtCyvon9eHi470ocSdc9FJ9oS7uyT9lQ9OmLvOzDakOMvdwE3AvW3m/9zMfpLi98p4a7bW8pdX3+Pzx01gYN+cqOM453qxZIcZF3AycGjryXOSZqQyiJktBLam8jXj7PanK8jOEpcf64P/OeeilWzX0y0EA/1dEE7XADenJdGHXSvp1bBrqqib3jNSW3Y08GD5Gs6dNorhA/tGHcc518slWyiOMLMvAPWwa+yn7hiS41ZgIsHhuOuBn+5pRUmzJZVLKq+s/NDlvGPlnudWUd/YwuyZPlyHcy56yRaKRknZhCffSSoGWtKWKmRmG82s2cxagNuBPXZ3mdlcMyszs7Li4uJ0R0ub2p1N3PvcSk6ZPJz9hvWPOo5zziVdKH4F/AkYJul7wCLgB2lLFZJUkjB5LsGlWHu03y1eQ1Vtow/+55zLGMke9fQbSUuAkwAB55jZW6kMIul+YBYwVNJa4JvALElTCVoyK4ErU/memaaxuYX/fXoF00uLOHxcr9gd45yLgaQKhaRfm9klwNvtzEsJM7ugndl3pOr14+Avr65nXVUd3z77oKijOOfcLsl2Pe32yRXurzg89XF6r9bB/z4yvD8nHDAs6jjOObdLh4VC0vWSaoApkqol1YTTm4BHuiVhL7HgX5W8vaGG2TMn+uB/zrmM0mGhMLMfmNkA4MdmNtDMBoS3IWZ2fTdl7BXmLFhOyaC+nHWoD6HlnMssye7Mvj482W1/giHHW+cvTFew3mTpmiqer9jKf50xidw+fiFA51xmSXZn9ueALwOjgaXAkcBzwIlpS9aL3LZgOQP79uH8GT74n3Mu8yT79fXLwHRglZmdAEwD4n36c4ZYsfl9nnhjA5ccNY7+eUnVbeec61bJFop6M6sHkJRnZm8DB6QvVu8xd2EFOdlZXHa0D/7nnMtMyX6FXSupEHgY+LukbcB76QrVW2yqqeehl9byycNHUzwgL+o4zjnXrmR3Zp8bPrxB0jxgEPBE2lL1Enc/s5LG5hZmHzch6ijOObdHHRYKSYPbmf1aeN8fv37EPtvR0MSvn1/FaQePoHRov6jjOOfcHnXWolhCMM5Se2eAGeBfhffR/S+spqa+iSt9KHHnXIbrsFCYme9hTYOdTS3csWgFR00YwqFjCqOO45xzHUr2PIqZ7c33E+72zSNL17Ghup4ffnJK1FGcc65TyR719LWEx30JLiC0BD/hbq+1tBi3LaxgUslAZu4/NOo4zjnXqWSPejozcVrSGOBHaUnUw/3z7U0s27SDX54/FckH/3POZb59HVhoLXBwKoP0FnMWLGdUYT5nHFLS+crOOZcBkt1H8T+E18smKC5TgVdSGUTSncDHgE1mdnA4bzDwO6CU4Ap355nZtlS+b3cqX7mV8lXbuOHMyfTJ9sH/nHPxkOynVTnBPoklBIMBft3MLk5xlruBU9vMuw54ysz2B54Kp2NrzoIKigpyOG/6mKijOOdc0pLdR3FPuoOY2UJJpW1mn01wHW2Ae4D5wNfTnSUdlm2q4R9vbeTLJ+1PQa4P/ueci4+kWhSSPibpZUlbE650V53ucMBwM1sPEN7H9hqhty2ooG9OFpceXRp1FOec2yvJfrX9BfBx4DUzs07WjYSk2cBsgLFjM+u6Dhu21/Pw0nVcOGMsg/vlRh3HOef2SrL7KNYAr0dQJDZKKgEI7zftaUUzm2tmZWZWVlxc3G0Bk3HnMytoMficD/7nnIuhZFsU/wk8LmkB0NA608x+lpZUH3gUuBS4Mbx/JM3vl3Lb6xr57QurOeOQEsYMLog6jnPO7bVkC8X3gB0EZ2Wnpe9E0v0EO66HSloLfJOgQDwo6QpgNfCpdLx3Ov3mhVXsaGjiyuO9NeGci6dkC8VgM/toOoOY2QV7WHRSOt83neobm7nrmZUct/9QDho5KOo4zjm3T5LdR/EPSWktFD3Rn15eR2VNA1cf70OJO+fiK9lC8QXgCUl13Xx4bGw1txhzF1YwZfQgjpo4JOo4zjm3z5I94W5AuoP0NH9/cwMrNr/PzRce5oP/OedirbNLoR5oZm9LOqy95Wb2UnpixZuZceuCCsYNKeDUg0dEHcc557qksxbFvxOcxPbTdpYZfj2Kdr2wYiuvrKniu+ccTHaWtyacc/HW2aVQZ4f3J3RPnJ5hzoLlDO2fyycPHx11FOec67IOd2ZLmi5pRML0ZyQ9IulX4RDgro231lcz/51KLju6lL452VHHcc65LuvsqKfbgJ2w67rZNwL3AtuBuemNFk9zF1ZQkJvNJUeWRh3FOedSorN9FNlmtjV8/Glgrpk9BDwkaWlak8XQ2m21PPrKe1x2dCmDCnKijuOccynRWYsiW1JrMTkJ+GfCMr+oQht3LFqBgCuOHR91FOecS5nOPuzvBxZI2gzUAU8DSNqPoPvJhba9v5MHXlzDWVNHMrIwP+o4zjmXMp0d9fQ9SU8BJcCTCcOMZwFfTHe4OPn186uoa2zmypk+XIdzrmfptPvIzJ5vZ96/0hMnnuobm7n72ZWceOAwDhjhJ7E753qWZMd6ch34ffkatr6/k6t88D/nXA/khaKLmppbmPt0BYeNLWR6aVHUcZxzLuW8UHTRX1/fwJqtdVx5/EQf/M851yN5oegCM2POguVMKO7HKZOGRx3HOefSIhbnQkhaCdQAzUCTmZVFmyjwzLItvPFeNT/8xCFk+eB/zrkeKhaFInSCmW2OOkSiOQuWM2xAHudMGxV1FOecSxvvetpHr6/bzqJlm7n82PHk9fHB/5xzPVdcCoUBT0paIml2eytImi2pXFJ5ZWVl2gPNWbCcAXl9uPCIsWl/L+eci1JcCsUxZnYYcBrwhXAk292Y2VwzKzOzsuLi4rSGWb2llsdfW8+FR45lYF8f/M8517PFolCY2Xvh/SbgT8CMKPPc/nQFfbKyuPwYH/zPOdfzZXyhkNRP0oDWx8BHgdejyrNlRwMPlq/h3GmjGD6wb1QxnHOu28ThqKfhwJ/Ck9n6AL81syeiCnPPsyvZ2dzC7OMnRBXBOee6VcYXCjOrAA6NOgfA+w1N3PPcKk6ZNJyJxf2jjuOcc90i47ueMsnvFq9he10jV83ywf+cc72HF4okNTa3cMeiFcwoHcxhY33wP+dc7+GFIkmPvfoe66rquGqW75twzvUuXiiSYGbctqCCA4YP4IQDhkUdxznnupUXiiTM/1clb2+oYfbMCT6UuHOu1/FCkYQ585czclBfzpo6MuoozjnX7bxQdOLl1dt4YcVWLj92PDnZvrmcc72Pf/J14rYFFQzKz+GCGT74n3Oud/JC0YGKyh387c0NXHLkOPrlZfy5ic45lxZeKDpw+9MV5GRncdkxpVFHcc65yHih2INNNfU8tGQdnzp8NEP750UdxznnIuOFYg/uemYlTS0tfP44P8HOOde7eaFoR019I/c9v4rTDi6hdGi/qOM451ykvFC04/4XV1NT38SVPpS4c855oWiroamZOxat4OiJQ5gyujDqOM45FzkvFG08svQ9NlY3cNXxPpS4c85BTAqFpFMlvSNpmaTr0vU+LS3GbQuWM7lkIMftPzRdb+Occ7GS8YVCUjZwM3AaMBm4QNLkdLzXU29vYnnl+1x5vA/+55xzrTK+UAAzgGVmVmFmO4EHgLPT8UZzFixndFE+ZxxSko6Xd865WIpDoRgFrEmYXhvO242k2ZLKJZVXVlbu9ZtU1e6kpr6Rzx83gT4++J9zzu0ShwGM2usDsg/NMJsLzAUoKyv70PLOFBbk8sSXZ9Jse/1U55zr0eJQKNYCYxKmRwPvpeONsrJEVrt1yTnneq849LEsBvaXNF5SLnA+8GjEmZxzrtfI+BaFmTVJuhb4G5AN3Glmb0Qcyznneo2MLxQAZvY48HjUOZxzrjeKQ9eTc865CHmhcM451yEvFM455zrkhcI551yHZD3wBDNJlcCqfXz6UGBzCuOkU5yyQrzyxikrxCtvnLJCvPJ2Jes4Mytub0GPLBRdIanczMqizpGMOGWFeOWNU1aIV944ZYV45U1XVu96cs451yEvFM455zrkheLD5kYdYC/EKSvEK2+cskK88sYpK8Qrb1qy+j4K55xzHfIWhXPOuQ55oXDOOdchLxSu15NfID3lJOVEncGlTq8rFJImSsqPOkeyJE2R1D/qHMmQ9HFJQ6LOkQwF/o+k0ZbhO+rCrN+TNCvqLJ0Js94AfKV1OtJAnQjzniFpWNRZkiFpf0l9u/t9e02hkHSRpDeAHwMPScroIdbDvK8C3wJ+F160KWNJ+iZwO/DpqLN0RtJngHnANKA6kz/MJE0DXgQmAasz+Zu6pIsJtutngIsBMrkISzoHeAu4FrhD0kHRJtozSWdLWg58G/hfSYO78/17RaGQdDZwJXCFmX0cKAA+Hy7LuG0g6TSCvFeb2bnARODMcFlGfaglbL9a4B7gQEmHt1mWMSQdA9wN/IeZfcbMqls/zDJp2yZkORC418w+bmYVQHOEsT4k/EbeR9IVBP9T/2lmE4B1Gf7BOwS4HPismZ0G5ACTw2UZ83cAEBaFzwEXmtkFwCbg/0r6SHdlyLh/5FSRNCBh8hXgUjN7Ppz+FXAOgJm1dHO0drXJ+w8zm2lmz0gaBFSE6ygTvqElZk3YftnADoJrnJ/ZZlmk2uR9huDyupPCZddJOlNS/0zatglZTgMaw2W/Av6fpOmZ0LKQNMACTcAfzOx4M3tR0iSgBjLrAvRt/sd2Av2BEeF0C1AiqaTbg7WjTVYItmXr/9MDwCeA07urp6FHFgpJ1wEvS/qRpIvMbCWwOmGVCcCzkYRrR5u8nzGzRklZkoYTXNmviuAP48eSDsyQrD+UdGk4LwcYCPwW+CvBP9zPJZ0aYVTgQ3mvCGdfA9wjaSlQCHyRzNu2l4ez/wicJun3wPpw3jXARVFkbNXmb/ZSM9suKTv8MvMWUApMDdeN/HOmTd6LzawGuA+4UNImgs+HKcB3gJMjjNo264VmthV4DbhUUhFQBpQTFLlR3RLKzHrUDTgRWAiMB04g+OeaEi7LCe9/AlwSddbO8obLC8P7wcCjwOkZlnVquOz7wAzgQmAD8C9gfAZu28PCZV8AysLHxcDDwL9lWNaDgHEEH2iPh+vlAVcRfKDlZVDW1v+xPuH9l4A5Uf7+O8l7SLjsXODn4eMBBPswr8qwrB8J/w5+BvwF+E34tzEfKO2OXJFX+jTIAV42sxVmNg/4JfADADNrDNc5BHha0kck3aBoj9RpL++NrQvNrCq830rQN1kURchQe1m/H7Yocgj2UXyFoGg8BhwfVdBQu3kBzOxmMysPH1cCWwmKcVTaZv0VQdZ1wBPAcEkTzKwBGAQ0ho8zIWvi/1hTuE4DsD3chxH150x7eX8ULtsKNEsqsqCVIYJ9mFFpm/V/gJ+a2Soz+3eC/awXmdkbBN283fI3G/UvMB0KgCGth5CZ2Y0EXSGfguDwWIKN+y2Cvr7NZrYlqrC0n3dEQt5sSYMl/YSgKb84sqTtZx1JUBD+BPzIzGaY2a+ApcDKiHK2ai/vsNZtC8GOQkk/Jeh2yKRt+wOCb5Fnmtl9wCPATZJuITiy7IXIknbyPxZ6m2BHsVn0+6r29D92JkHrdzhB1+NPgVMIjjKLStus3wdGSfp0OL1B0hhJNxN0O73TLamiamJ19QZcQth8bGfZc8AnE6bPB54PH+8PbCFoYuZncN7nwsdTgL8TfAvql4FZLwIWtbOeYrBtxwN/I/j2nonb9oLWrOF0GTA7Q7Oe3yZrNkHrsk93/S3sZd4LgafDxxMJvjh+Kybb9hFgDlDQHVnNLH6FAjiU4Cimh4FDE+aLsM823LALCfvvgLHALeEfbTFQEpO8OQRHZgzN8Kw3EXwTyorJ38LNQC7QFxgcg6zd8uGVoqzd9uGVgry3tG5buq+YdWXb9g+nu30bx270WEnXA1vMrN3hdCVNAFYQfDsYCbxMcLjmKjO7stuCfpBnX/OuNLOrui0o8coa5olNXs+aPnHKG6esiTJ+H0U7J78cSNCviIIhGE6VVBhOf52gf/FY4KfAXQRH4jzVXUUihXnT/kcRp6xxy+tZPW/csnYko1sUkq4FTgIWAL83s3WSfgAsB84g2OBFBP2h3wWOAn5nZtsSXiPbzLrlbNY45Y1T1rjl9ayeN25ZO9XdfV170Zd3LsFRKCcQVNabCfrqzgf+Cfw4XC87nD4z4bnZdOPO1LjljVPWuOX1rJ43blmTuWVy19MRwK0WHEt8A7AKuN7MHiCoxDmShltQbZ8lOHKhdZiLZgu3uOeNfda45fWsnjduWTsVeaFo24eXMF1BcAgbZraK4KzkYknHEhza2ghcL+m/gU8SNO9I9waOU944ZY1bXs+aPnHKG6esXRF5oSA4BHSXhA31B6BWwcivEJzK/k/gaDN7meBM0LcJDss8OZzneeObNW55PavnjVvWfRbZNRkkHQX8O/CepNuAd8ysWVIfC4YB2EZwtu/Vkh61YNCxfkA/2DWkxRzPG++sccvrWT1v3LKmQiQtCgVXk7qJYGTULcCXCcaGxz4YKyaf4KzZ9cBcSSMJLjSz0/P2jKxxy+tZPW/csqaMRbAHnWA8lfvDx/2AfyMYRO7AcN53CTbyNIJxmb5LMFLiLUC25+0ZWeOW17N63rhlTdnP3E0b9hzgG8AZ4XQx8C4wMZweDHwT+CFBn91vW5clvEb3jWsSo7xxyhq3vJ7V88Yta9q2QZo3cOs4/wsJxtDfRDjYFcFQ2r8IH2cRnI14Owlj79D9YwfFJm+cssYtr2f1vHHLmvZtkeYNfSTwtYTpS4Bnw8eHEoyzf3I4PYngELLWQbq6fSPHKW+cssYtr2f1vHHLmu5byo96kvQZgssKvggsIRjgCknZwJvAG+GqrxFcD+IXks4hONVdhIebWTeNYR+nvHHKGre8ntXzxi1rd0pJoQhPMhlB0DfXQjCWyeeBL5vZRoXjlSi46Pog2LUh7w6PILiOYLCsz1t4Rbd0ilPeOGWNW17P6nnjljUyKWieZYf3HwHuCx/3IbiE3x/brHMvcF74eETCa+R2VxMqTnnjlDVueT2r541b1ihv+9yikNQH+DaQLelxYCDQDMGxxJK+RHAyyvFmtiB82g5ghaRvAx+XdKqZrTWztB9bHKe8ccoat7ye1fPGLWsm2KcT7iQdT9B/VwQsA75DMHbJCZJmwK5T2b9NMCBWax/f5QSntg8ETjCztV3M3+Pyxilr3PJ6Vs8bt6wZY1+aIcBxwCUJ07cAVwOXAUvCeVkE/X4PElwkfiLwC+Cw7m42xSlvnLLGLa9n9bxxy5opt33d0AVAHh/03V0E/CB8vBT4Yvi4DHgg8h8yRnnjlDVueT2r541b1ky57VPXk5nVmlmDfXDlpVOAyvDxZ4FJkh4D7ido4n1oON7uFKe8ccoK8crrWdMnTnnjlDVTdOnw2LDfzoDhBCebANQQnO5+MLDCzNZBZoyzHqe8ccoK8crrWdMnTnnjlDVqXR09toXgBJPNwJSwCv830GJmi1o3cgaJU944ZYV45fWs6ROnvHHKGq2u9l0RnObeAiwCroi6L60n5Y1T1rjl9ayeN25Zo7wp3Fj7TNJogjFQfmZmDV16sW4Qp7xxygrxyutZ0ydOeeOUNUpdLhTOOed6tkiucOeccy4+vFA455zrkBcK55xzHfJC4ZxzrkNeKJzrIkmFkq4JH4+U9IeoMzmXSn7Uk3NdJKkUeMzMDo46i3PpkPJLoTrXC90ITJS0FHgXmGRmB0u6DDgHyCYYEuKnQC7BcfsNwOlmtlXSROBmoBioJbhS2tvd/UM4tyfe9eRc110HLDezqcDX2iw7GLgQmAF8D6g1s2nAc8BnwnXmEoxYejjwHwTDXjuXMbxF4Vx6zTOzGqBG0nbgz+H81wjGF+oPHA38PmGA0rzuj+ncnnmhcC69EoeFaEmYbiH4/8sCqsLWiHMZybuenOu6GmDAvjzRzKoJrsP8KQiueyDp0FSGc66rvFA410VmtgV4RtLrwI/34SUuAq6Q9ArwBnB2KvM511V+eKxzzrkOeYvCOedch7xQOOec65AXCueccx3yQuGcc65DXiicc851yAuFc865DnmhcM451yEvFM455zr0/wEa8ljq0em2LgAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -891,26 +889,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7fb81705e580>,\n",
-       " <matplotlib.lines.Line2D at 0x7fb817004ca0>,\n",
-       " <matplotlib.lines.Line2D at 0x7fb817004be0>,\n",
-       " <matplotlib.lines.Line2D at 0x7fb817004ac0>,\n",
-       " <matplotlib.lines.Line2D at 0x7fb817004d30>]"
+       "[<matplotlib.lines.Line2D at 0x7fdb3c3d7250>,\n",
+       " <matplotlib.lines.Line2D at 0x7fdb3c37fac0>,\n",
+       " <matplotlib.lines.Line2D at 0x7fdb3c37fa00>,\n",
+       " <matplotlib.lines.Line2D at 0x7fdb3c37f8e0>,\n",
+       " <matplotlib.lines.Line2D at 0x7fdb3c37fb50>]"
       ]
      },
-     "execution_count": null,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEyCAYAAADk55cIAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAAsTAAALEwEAmpwYAABpD0lEQVR4nO2dd3gc1fm277OrVe/NlizZltx7rxgbAwYMppcABmwwISSUEAIJ5BdCSSOhhJoQSMDYpnc+QjHghsFgG2zcqyTbkiWrWb1teb8/ZiSt+spalZXPfV1zTTsz8+zs7jxz2nuUiKDRaDQaTUtYuluARqPRaHo22ig0Go1G0yraKDQajUbTKtooNBqNRtMq2ig0Go1G0yraKDQajUbTKtooNBqNRtMq2ig0HUIplaGUOtPL51yolFrpzXNqOh+l1ANKqRVeOtdpSqlMb5xL03G0UWh6HCLyioic1d06eiNKKVFKDe5uHRrfQhuFRqPxCKWUX3dr0HQP2ig03mCKUmqXUuq4UuolpVQggFIqSin1kVIqz9z3kVIqqfYgpdRipVSaUqpUKZWulFrotn29WzpRSt2slNpvnudZpZRqTVDtOZRSj5rHpCul5rvtv14ptdu8dppS6mdu+05TSmUqpX6jlMpVSmUrpS5SSp2rlNqnlCpUSv3OLb1FKXWPUuqgUqpAKfWmUiraO7e27hqHlFKTzOVrzHsy0ly/USn1vrk8VSm1QSlVZOp+Rinlb+5bZ57uR6VUmVLqJ+b2BUqpreYx3yilxrpdN0Mp9Vul1DagXCnlZ65nmfdur1LqDDep/kqpZea+nUqpyW7nSlRKvWP+HtKVUre77QtSSi01v6tdwBRv3j9NBxERPenphCcgA9gBJAPRwNfAn8x9McClQDAQBrwFvG/uCwFKgGHmegIwylxeDKx3u4YAHwGRQH8gDzinDV2LATvwU8AK/Bw4Cihz/3nAIEABc4AKYKK57zTAAfwBsJnnyANeNT/HKKAKSDXT3wF8CyQBAcC/gdda0NUfKGplurqF45YBvzaXnwcOAj932/crc3kSMB3wAwYCu4E7Gt3LwW7rE4FcYJp5nxaZ32mA2/e71fx+g4BhwBEg0dw/EBhkLj9g3pdzzXP9FfjW3GcBvjfvqT+QCqQBZ5v7Hwa+wvgNJWP8pjK7+/etJ/N30t0C9OTbk/kgudlt/VzgYAtpxwPHzeUQ88F4KRDUKN1imhrFLLf1N4F72tC1GDjgth5snqdvC+nfB35pLp8GVAJWcz3MPHaaW/rvgYvM5d3AGW77EjBMys+L93kJ8KHb9W4EXjfXD2GaXDPH3QG81+heuhvFv4A/NjpmLzDH7fu9wW3fYAxjOROwNTruAeALt/WRQKW5PA043Cj9vcBL5nIabuYP3KSNoudMuuhJ4w2OuC0fAhIBlFLBSql/m8UmJcA6IFIpZRWRcuAnwM1AtlLqf0qp4a1cI8dtuQII9UBX3TEiUmEuhpra5iulvjWLkYowDC7W7dgCEXGay5Xm/Jjb/ko3DQOA98yimyKMB7kT6OOBRk9ZC5yqlOqL8bb+BnCKUmogEIHx1o9SaqhZxJdj3vO/NPpcjRkA/LpWu6k/GfM7NKn7fkXkAIb5PADkKqVeV0q5p238PQWadRsDgMRG1/kd9fcokaa/I00PQRuFxhskuy33xyjiAfg1RlHFNBEJB2ab2xWAiHwmIvMw3sD3AC90hVilVADwDvAo0EdEIoGPa3WdAEeA+SIS6TYFikhWM9fub9YPtDQtbO4C5gO6ArgdWCcipRgP5Zswcl8uM+m/MO7lEPOe/66Nz3UE+HMj7cEi8pr75RtpeVVEZmE8/AX4W9u3iCNAeqPrhInIueb+bJr+jjQ9BG0UGm9wi1IqyazA/R3G2y4YRTaVQJG57/7aA5RSfZRSFyilQoBqoAzjLbwr8MeoS8gDHGYld0ea4z4H/FkpNQBAKRWnlLqwuYQiclhEQluZXmnlOmuBW805wJpG62Dc8xKgzMyh/bzROY5h1A/U8gJws1JqmjIIUUqdp5QKa06AUmqYUup002yrML5fT763jUCJWREepJSyKqVGK6VqK63fBO5VRgOIJOA2D86p6SK0UWi8wavASoxy5jTgT+b2JzAqQPMxKns/dTvGgpHjOAoUYlQo/6IrxJpv47djPJyOA1cDH3bglE+ax69USpVifNZpHdXZDGsxjGBdC+sAd2F8nlIME3iDhjwAvGwW/1whIpsxKuufwbgXBzDqd1oiAKPiOR8jRxOP8XLQKmYx3vkY9VTp5vH/wSg2A3gQo7gpHeO3tLytc2q6jtoWIBqNRqPRNIvOUWg0Go2mVbRRaHwWpdRzLVQIP9fd2jSa3oQuetJoNBpNq+gchUaj0WhapVcG+YqNjZWBAwd2twyNRqPxGb7//vt8EYlrbl+vNIqBAweyefPm7pah0Wg0PoNSqsXe8LroSaPRaDStoo1Co9FoNK2ijUKj0Wg0raKNQqPRaDStoo1Co9FoNK2ijUKj0Wg0rdIrm8dqNBrNyYKIUFxdzOHSw5TZy5iZONPr19BGodFoND0cl7jIq8jjcOlhMkszOVx6mCOlR4yp5Ail9lIA4oPi+fKKL71+fW0UGo1G0wOwu+xkl2XXGUCdGZQcIbMsk2pndV1aP+VHYmgiyeHJjI0dS//w/iSHJdM/rHMGBtRGodFoNF1EpaOSzNLM+txArSmUHCa7PBun1A8WGGgNJCksiQHhA5jVbxb9w/uTFJZEclgyCSEJ+Fm67vGtjUKj0Wi8SElNCUdKGuUKzJxBbmVug7Rh/mH0D+vPmNgxzE+ZX5czSA5LJi4oDqVOdBh376KNQtPpuMTFX777C6U1pcQHxxMXFGfMg+OIDzLmgX6B3S1To/EIEaGgqoDDJYcbmEFt3UFxdXGD9HFBcSSHJTMjcYZRPORmBhEBES1cpQ3sVVCYBvn7IH8/FOw3li1+cOMXXviUDdFGoel0Vh9ezRt73yDeL4RiVw3VLnuTNGH+YXWmER8c36yhxAbFYrPauuETaE42qhxV5JTncLT8aLNFRZWOyrq0FmUhISSB5LBkzh5wtmEC4YYRJIUmEWwLPjERIlCeV28G+aYZFOyH44cAt7GEIpIhZjD0GdWxD94C2ig0nc7LPzxNP7uDj9J3YwVKLIq88L7kxgwkL7wPeUER5Nr8yZUa8ioL2JizkfyKfBziaHKu6MBo4oLi6gyl1kzcDSU6MBqrxdr1H1TjEzhdTvIq88gpz6mbssuzyS7Prls/Xn28wTH+Fv+6+oGpfac2yBkkhiR27AXGUQPH001D2Af5B+rNwT134hcEsYOh3yQYeyXEDoHYoRAzCPxDTvz6HqCNQtOpbM3dypaSg9xT6cTvl9ug8CARx3YScWwng4/tgIzvwVljJLbYIG4Y9BmFK/U8jkcPIC8sjlxc5FXmkVuZS15FHnkVeRyrOMaewj0UVBYgNByl0aIsxAbGEhcc16B4q3FOJTIgsseUAWu8g4hQUlPSwADc5znlOeRW5DZ5CQm1hdI3pC8JIQmMjh1NQkgCfUP60jekL8lhycQHx2NRHeyfXF5QnyNwzyUczwC3SmzCEg1DGHu5aQSDjXl4P7B0Tx9pbRSaTmXp908R7nRy8ehFEDXAmAadXp/AaYeCA3BsJxzbYcwz1mPZ9gYxQAwwPDjGyFL3GW3MB5wPccPBFoTD5aCgssAwkgrDSGoNJbcyl6yyLLbmbqWouqiJNpvF1iR3UrscGxhLRGAEkQGRRPhHEGIL0abSA6hx1nCs/FiDHIC7CWSXZ1PhqGhwjJ/Fjz7BfUgISWBin4kNTKB2Ocw/zDsCnXajWKg2d1Cwv94QKgvr01kDDAPoOwZGX+JmCEMgwEtavEivHDN78uTJogcu6n4yijO44P3zubGkgtuXbILgaM8PriiE3F0NDSR3N9jNh4Cy1JfJuptIRDI080CvdlaTX5lvGEhFbvPGUpFLmb2sWTl+Fj8i/COICDDNw23e7Db/CCIDIwmwBpzIrTspcYmLgsqCZouCarcVVBU0OS46MJqEkIRmDSAhJIGYoJiO5wYaU3m8Yb1BbYVyYRq43HIroX0gZkh9MVGsuRyRDD2seFQp9b2ITG5un85RaDqNZVv/iU2Eq1MvbJ9JgJF+4CxjqsXlNLLptcZxbCcc3QI736tPExDuZh6mgcSPICAgjH6h/egX2q/Vy1bYK8irzCO/Mp/i6uK6qai6iKLqIkpqSiiqLiKzLJOdBTspri5u0BGqMUF+QYT7hxMZEElkQCThAfXLjU2mdjncP7xL28h7CxHBIQ7sTjt2l50aZ03dvMZlLNuddkprSpvkAnLKc8ipyMHhalgkFOQXVGcCw6KHNTGBPiF9Os+MXU4oOtTQDGoNoTyvPp3FZtQTxA2D4QtMQzDrDoIiO0dbF6NzFJpOoaCygLPfPJ0FpaU8cM1aiEzuvItVlxq5DXcDObYTqkvq00QNrM911BpI1ECvvNVVOiobGErtvKSmhKIqw2CKaxruL64ubtC5qjFhtrAWjcR9udZYgPoHs6sGu7N+3vhhXeOsweFy1G9rJm2DeXPnMY+pO4+ZtnF9UWtYlZX44PgmOQH39XD/8M4v8qsucysi2ueWQzhQX38GEBxbnyOIHVqfU4gcAFbfM/bG6ByFpst5fcdL1IiTRX1nda5JgFGmmzzVmGoRgeIjDYuuju2EvR+DuIw0tmCIH9Gw6Cp+ZLtzP0F+QQT5BdE3pK/Hx4gIZfayZg2muLqY4pqGplLbPr+kpqTtk7cTm8WGzWLD3+qPv8Ufm7V+3X0eZAsy9temNbfbLDZsVhv+Fv8mxzQ+j7/Fn2BbMH1D+hIXFNd1rdNEoDTHzQjcDKEkqz6dskJ0imEEQ+aZZmAWGbU3V9yL0DkKjdepdFRy1munMqH0OE9d+v+gz8jullSPvRLy9rjlPHZAzo6GFY3h/YzK8qgBENnfeGOMNCvig2OarQPpKpwuJyU1JU1MRaHqHtaePsj9Lf74Wfx6VyW9o8atI9q+hsVGNaX16fzDGtUbDDWKjqJSwM+/+/R3IzpHoelS3t/zJkWuahaHj+hZJgFgC4LECcZUiwiUHWuY88jbC0d/MCotGxwfYphHAxOpXR/Q6WXSVouVqMAoogKjOvU6PZ6KwqZFRfn7mjY1DU8yjGD81W7GMBTC+nar4fsa2ig0XsXpcrJs2/OMrapmwln3dLccz1DKeHCE9YXBZzbcV1UCRYfN6ZAxP37IWM74uuFbKkBABES55ULcTSSyPwSEdt3n8nVcTqP4sLEh5O2Fivz6dA2aml5an0uIGazvt5fQRqHxKl9mrCTTXsKv/eJRA0/pbjkdJzAc+o42psaIGDmO5kyk4AAc+BLcQj0ARtFVk5zIQHNbf7CdhDGvasqN+9VcZbKjqj5dcIxhAsPPrc8Z1FYm97Cmpr0NbRQaryEiLP3+Sfrb7cyd+Zven7VXyqjgDI6GxPFN94tAeb5hHMczGhpKznajYt29VQ0Y7e5r60MaG0p4Us8qPxcx+gw4qo3P4awxl+3grG60bO53VkNFQcO6g+Ij9edUFqM1WuxQGDTXranpEAiJ6baPerKjjULjNb4/tpntFVnc5wjCOnxBd8vpfpSC0DhjSmqmjtDlgrIcMxdSayKHjPUjG2HHuw3L25XFCO/Q2EQi+xtv1J48pOuWa5p5wDf3sG/j2HY0h22ALcTIDfSfAbGLGsYt8tOdFHsa2ig0XmPpxseIcjq5YPId3RaTxqewWCA80ZgGzGi63+kwmm42Kdo6DOnroOQoJ/SgtviB1d+Y/AIaLduMMn+/ALBFmMv+xtzq77ZsM9O7Lzd3zmaODYwwPnNvz3H2IrRRaLzCwaKDrD2+k19UQeD4a7pbTu/A6lcfH4tTm+53VENxplF0I676B3zdw958WDdY9tfl+Zp2o41C4xWWbXqcQJeLK0cv0kUHXYVfgFFUEzOou5Voejm6fEDTYfIq8vh/R7/iwko7UVNv7m45Go3Gy2ij0HSYV7c8i0NcLEo53yh/1mg0vYoeZRRKKatSaotS6iNzPVop9blSar85P8m7o/Y8yu3lvHHwA86srCZ51t3dLUej0XQCPcoogF8Cu93W7wG+FJEhwJfmuqYH8e6OZZSKg8V9Zho9mzUaTa+jxxiFUioJOA/4j9vmC4GXzeWXgYu6WJamFRwuB8t3LmViVRVjZ9/X3XI0Gk0n0WOMAngC+A3gctvWR0SyAcx5fDfo0rTAygMfkO2s4Pqw4cYYvxqNplfSI4xCKbUAyBWR7ztwjpuUUpuVUpvz8vLaPkDTIUSEpT88Q0qNndmn6tyERtOb6RFGAZwCXKCUygBeB05XSq0AjimlEgDMeW5LJxCR50VksohMjouL6wrNJzXfZX3N7up8Fvn1weI+YJBGo+l19AijEJF7RSRJRAYCVwKrROQa4ENgkZlsEfBBN0nUNGLpd38nxuFkwczfdrcUjUbTyfQIo2iFh4F5Sqn9wDxzXdPN7C3Yw9dl6Sx0BREwdL5Hx9hzc3EcP952Qo1G0+PocSE8RGQNsMZcLgDO6E49mqYs+/Zhglwurph4m0eB3exZWRw8bwFSVYU1MhL/lBT8U1MISE3FPyWVgNQUbElJKL8e93PUaDT0QKPQ9GxyynP4OO97rqxRRIxf6NExeU89DSLE3/Vrao5kUpOWRtnadRS/8259IpsN/wH9CUhJbWQkKVjDwjrp02g0Gk/QRqFpF6989wiCcM3I64wopW1QtXcvxR9+SMySG4i58cYG+5wlJdSkp1Odlk5NWhrV6WlUHzxI6erV4HDUpfOLi8M/NdUwD9NIAlJT8EtIQOlw5hov4Sovpzo9g5q0g1SnpVGTlk7N4cMAWAICUIGBqMAALAGBWIICUQH16yowAEtgICow0JgHBGIJDKifBwaZ80BUgJHWEhgINhvKB8Kta6PQeExpTSlvHfmCs6oc9Jt2i0fH5D3+DyxhYcT89KdN9lnDwwkaN46gceMabBe73ch5pKcZf9j0DGrS0ij538e4Skrq0qnAQMM0UlLwTzWKsPxTU/EfMABLUFDHPqymVyIiOHLz6n9baemmMaTjyMmpT2i14p+cjP/AgWC1IlVVuKqqcOWXYa+uQqqqcVVXIZVVuKqrwW4/MUEWi2EuphFZAgJQQUEN12vNJ7DefOoMKiiwgVFZwsIImer9VojaKDQe884P/6IcF4tTFoB/SJvpyzdupGztWuLvvgtrhOfBApXNRkCqkWsIO6O+ikpEcBYWGrkPt1xI5bZtlHzyiTE0p4ktMbE+F+JWF2KNjfWJNzhNxzBeNo4Yv5GDaeZvxfjNuMrK6tJZQkLwT00lZNpU/FNS8R+UavxekpNR/p4POytOp2Em1dVIZaUxr6rCVVWNVFfhqqwy5rXrVVV15lNnOlXVuKoqkbo01ThKSurT1p6zurpBjtsdv4QEhqxe1eH71+S8re1USg0H/oHRW/p24D6MMBr7gEUisrvlozW9CbvTzvJ9bzCtqoaRs+5tM72IkPvYY/j17UvUQs/qMtpCKYVfTAx+MTEET5nSYJ+rqoqaQ4cbvSmmUfT990hlZV06S2iokfswcyF1RtLOB4OmZ+AsLW344pBmmELNkSMNiy/79ME/NYWICy+s/85TU/GLj/fKi4OyWlEhIVhC2n6B8gZitzc1o6qqEx6Zti3aylE8DzwChAKrgN8C1wMLgGfQLZJOGj7Z9Sq5UsODfWZ4NMh96eefU/XjNhL+/CejLLaTsQQGEjhsKIHDhjbYLi4XjmPHmtSFlH/7LcUfuHXLqS1qSE3FP2Ug/gMGYOvTB7/4ePzi47FGRen6kG5CRHDk5BgmcND4/mpfBBzuURhqG0QMHkzYWWeZRZGDjAYRoV3zAO8qlM2G1WaD0NCuuZ5IyxaklNoiIhPM5QMiMtht3w8iMrELNLabyZMny+bNm7tbRq9BRLj01VOQikLevfQTVHRK6+kdDtLOvwCsFlLff7/HNnt1lpVTk57epC6kJiMDaVzmbLPhFxeLLS6+zjz8+vTBLz4OW3z9NktYmC7aOkFcNTXUZGQYJpBu5hIOHqQ6IwOpqKhLZwkLq8sRBAxKNc09Bf+kJJSt7QYWvRkROeHfn1LqexGZ3Ny+tv7B7oPrPt5on86nnyR8nf4Z+x2l/Cl0aJsmAVD07rvUpKeT9M9ne6xJAFhDQwgaM5qgMaMbbBenE8exYzhyc42Ogrl5deuOvFwjR/Lddw0q1mtRQUGGecS5m0l8U0M5iSvbnUVFhgmku9cfpGE/kgmu+pigfokJBKQOInLypPp6pkGpWGNitBmbiEvIzyrjyO5CMncXYq92celvJnn9Om39i59VSoWKSJmI/LN2o1JqMPCF19VoeiRLNz1OvMPBuWc+0GZaV2Ul+U8/Q9DEiYTOndv54joBZbViS0zElphIa49zV0UFjry85g0lN5fKnTtwrFqFVFU1OdYSHl5vHnHNGEqfPvjFxnbrG7KIGGXgFRX1U3ntcnndNmmyr/XJvYWQ8vfHf+BAAkeMJOK88/BPHWQUGQ0ciCU4uNs+e0+m7HgVR3YXcmT3cTL3FFJZatzP6MQQkkdGIy5BWbxrpK0ahYj8WykVAKCUChCRanP7AeAOryrR9Eh2HdvKd1XZ3Gnri61f2yWNhcuW48jLo9+TT/T6tz5LcDD+AwbgP2BAi2lEBFdpaZ152HNzcRzLrVt35OZSnrERR25esy1ZrDExbgZSX2fiFx+HX3w8tj59sEZHA+CqqMRVUV7/4G72Ae8+mQ/7creHfqN0tFI03QClsAQH100qxJhboyKx9evXYJ81MrKuQtnWrx/Kam37/CcxNVUOsvYV1eUajucYxXBB4f4kj4wmeUQ0ycOjCYkM6DQNnpQLPKeU+jnwLLCk05RoeiRLN/yJEJeLy05pO/if4/hxCl54gdDTTyd4Yo+svupylFJYw8OxhocTMLjlMTvE5cJ5/HirhlK1axfO/IKmD2+LpUGRTZtYrVhCQho8vC3Bwdji+xjL5kNeNdgfYm4PaZCmzhgCA3v9i0FX4XK6yD1UauYaCjmWVoLLJfjZLCQOiWTEKYkkj4gmpl9Il93ztprHzgE2A18BLymlZovIui5Rpul2jpYcYWXRXq5xBRM25Ow20xc8/wKuigrif3VH54vrZSiLpa7pLyNGtJhO7HYcBQUNDSUvD2X1q39wN3qI1z3Mg4OxhISgfKQ38MmCiFCcV0lmbXHS3uPUVDpAQVxyGOPn9Sd5RBR9B0XgZ+ue3JenNY36V3USsvzrP6IQrpl4a5vB/+xZWRxfsYKIiy8iYMiQLlJ48qFsNmx9+2Lrq8cn92Wqyu1k7jlel2soLTDqscKiAxk8MY6kEdEkDY8iKLRntBlqq45irVLqeuBU4Fn3Cm1N76a4qph3jm1gvt1C33HXtJk+7+lnwGIh7tZbu0CdRuNbOO0uctKK64wh93ApCPgHWuk3LIoJ8/qTPCKaiPigHpnb8yRHcbOIVCmlftHpajQ9hre++xuVChaNWAiW1rO7VXv3UfzBB0TfcD22hIQuUqjR9FxEhMKj5XWtk47uP46jxoWyKPqmhDPlvBSSR0TTZ2AYFmvP78jpiVH8S1dmn1zUOGt4JeNjZlY7GTbtl22mz3v8cSxhYcQ2E/hPozlZKC+urqtnOLKnkIriGgAi+wQzYmYiySOi6Dc0Cv+gntu3qCXaqsyeja7MPun46IfnyMfJXwacA7bWw29UbNpkBP6769dYIyO7RqBG0wOwVzs5ur+orjip8Gg5AIEhNpJGRBnNVkdEExbd+SFsOpu2rE01mmt6OS5xsXT3cobXOJh+6u9bTSsi5D76GH59+hB1Tdv1GBqNL+NyCflHSjm8y+jPkJ1WjMshWP0sJAyOYNi0viSPiCY2KdTrHd66G12ZrWnAV3veJl2qeDhuKio4utW0pV98QeWPP5Lwpz92SeA/jaYrERFKC9x6Qe8tpLrc6BQZkxTK2LnJJI+IImFwJDb/3t1pUFdmaxrw0pZnSHA4OGvOQ62mE4eDvMf/gf+gQURcdFHXiNNoOhGXSyjIKiP7QDHZB4vIPlBMeVE1ACER/qSMiSXJLE4KDu8ZzVa7ijaNwjSJFOA2pdRA92NE5IJO1KbpYrYf+Yrv7ce5O3QotqiWw1KAW+C/Z5/p0YH/NJqWsNc4OZZeQo5pCtlpxdirnACERAaQMDiChEGRJA2LIiohuEc2W+0qPP2Hvw/8F/h/GIMYaXohL234K2FOF5fOfrDVdK7KSvKfeZagCRMIPf30LlKn0XSMipIacg4Wc9Q0hvzDpbhcRjiU6MQQhk7tS8KgCBIGRxAWrUOSuOOpUVSJyFOdqkTTrRwp2MuXFYe53hZPSML4VtMWLl+BIzeXfv94XP+ZND0SEaE4t5KjB4rIOVhM9sFiio4ZwfSsfhbiB4Yx/qz+JAyKoG9qBIEhJ/c4Fm3hqVE8qZS6H1gJVNduFJEfOkWVpstZtv5BrMDC6a0H/6sL/Dd3LsGTvB/3XqM5EZxOF/mHy+rqFrIPFtWF3w4I8SNhUCQjZiaQMDiS+P5hWG09v5NbT8JToxgDXAucTn3Rk5jrGh/neHku7x/fxgIJIW7IOa2mLXj+BVzl5cTpwH+abqSm0kFOmpFTyD5QxLH0Ehx249EUHhtI/1ExZjFSJFF9gntdc9WuxlOjuBhIFZGazhSj6R5eX/8QVUqxaNzPW01nP3rUCPx30UUEDh3aalqNxpuUHa8yTcHILRRkliFixKqMTQ5j5KmJJAyKJGFwBCERnTcuw8mKp0bxIxAJ5HaeFE13UGWv5PXsdcx2Whg07rpW0+Y9/QwoRdxtOvCfpvMQl1CYXV6XW8g+UExpoRFd1S/ASt+UcCafl0LCoAj6pITjH6hb3XU2nt7hPsAepdQmGtZR6OaxPs6H3/6dQiUsHnqVMQBOC1Tt3Ufx++8Tfb0O/KfxLg67k9xDpYYpHCwm52Ax1RVGx7bgcH8SBkcw7oxkEgZHEJsU6hNB9HobnhrF/Z2qQtMtOF1Olh18n9FOYfL0O1tNm/ePf2AJDSX2Jh34T9MxqsrsZKfV5xZyD5fgchjNVKP6BjNoYnxdH4bwWN1MtSfgkVGIyNrOFqLpetZs/Q+HlINHk+ahbC2X61Zs3kzZmjXE/frOEwr8V1FSw3uP/UBZYRX+QX51U0CQtdG6H/6Bfvi7ba/fZizr1io9C6fDRVW5naoye8N5s9scdcsAFqsifkA44+YauYW+gyJ6zEA9moa0FT32IxFZ0NE0mp7JSztepJ/DxRmz/9BiGvfAf9HXXntC11n/5j5KCioZMzsJe7WD6konNVUOaiodlB2vpqbSQXWVE0e1s81zWf0sdUYS4GYy/kF+BDRnMm7LtkBrndnot9SGiAj2amczD3tHqwZgb+U787NZCAy1GVOIjdioQAJDbIRGB5AwKJL4AWH49fIYSb2FtnIUs5RSH7ayXwEjvahH00Vs2fchP0oF98ZOwi8oqsV0ZV9+SeXWrScc+C/9xzz2b85l2gUpTD43pdW0LqeLmiqnYRyVhpHUTtWVzvrlqob7yotr6pZbe3DVYrGqRmZixT+wobHYAqxYrMqcLFgsxrKyqPrtlkb7Wtje5Dj3fRbl9aab4hKqKxxNHuyVbg/76ma21Rb/NEdAsB8BIcYDPyjMn6iEYIJC/AkM9SMwxGbsC7URZJpCYIhNm0Avoi2juNCDc+gmsz7IS5v/QYTTxUVz/thiGnE4yH38H/inpp5Q4L/qCjtrX91LTL9QJpzVeuwoAIvVQmCIpUO9ZF0uMUyjykGNu7nUGktVU+OpqXRQnFdZv17tNHoJdRWKFg2mzmRq9zUwo/p9NVWOuqKd6go70oJ+ZVEEhhgP98BQGxFxQfRJCa97uNe+/Qe6PfADQ/x0BfJJTpthxrtKiKbrSD+6iTU1edwUkkpwZMsP8KL33qMmLY2kZ54+ocB/37x7kIqSGs79xVisfl3zoLFYVN0D7kQRl+Cwu3A5XbhcgstpTOK27HK53JYFcVtu8bjafQ3Sup/X7bjafY2PM6/lNI9z1jhxOQX/IL+6op1mH/bmm79/kJ8udtO0mx7TAFkpFQisAwIwdL0tIvcrpaKBN4CBQAZwhYgc7y6dvYFlXz+EDbjq1AdaTOOqrCT/6WcIGj+e0DPOaPc1MvcUsmv9USbM60/8gPATF9sNKIvCFmAFdNGJRgPQk/KT1cDpIjIOGA+co5SaDtwDfCkiQ4AvzXXNCZJflM6H5elc4BdHTGLLsZoKVxiB/+Lv+nW730Dt1U5Wr9hDRFwQU89vvV5Co9H0fNptFEqpKKXUWG8LEYMyc9VmToJRT/Kyuf1l4CJvX/tk4rV1f8AOLJp6d4tpnEVFFDz/AqGnnUbw5MntvsZ3/y+Nkvwq5l47XFdoajS9AI+MQim1RikVbhYD/Qi8pJR63NtilFJWpdRWjFAhn4vId0AfEckGMOfxLRx7k1Jqs1Jqc15enrel9Qoqqop4o2ALc1UIA4ee22K6/OdfwFVWRtydv2r3NXLSi9n25RFGze5Hv6Ett6bSaDS+g6c5iggRKQEuAV4SkUnAmd4WIyJOERkPJAFTlVKj23Hs8yIyWUQmx8XFeVtar+D9dQ9QbFFcP6bl3tUdCfzndLhYvXwPIZEBzLx4UAfVajQaT8kqquTNTUd4bu3BTjm/p5XZfkqpBOAK4P86RYkbIlKklFoDnAMcU0oliEi2qUEHJjwBHI4almV9yTixMn7CkhbT5T39DMAJBf77/pMMCo+Wc94tY/EP6jHtJDSaXkdxhZ0NafmsP5DP1wcKSM8vB2BATDA3nZqKxct9czz9Nz8EfAasF5FNSqlUYL83hSil4gC7aRJBGDmWvwEfAouAh835B9687snCF98+SpYF7k691IjN3AxV+/ZR/MEHRC9ejC0xsV3nL8gq4/tPDzF0ah8Gjon1hmSNRmNSZXfyw6HjpjHksz2rGJdAsL+V6akxXDN9ALMGxzK0T2inNH/21Cj+n4i8VbsiImnApV7WkgC8rJSyYhSJvSkiHymlNgBvKqWWAIeBy7183V6PuFws3f8WAwROm/6bFtPl/eMJLCEh7Q7853IJq5btxj/Ij1lXDOmoXI3mpMflEnZll9QZw8b0QqodLvwsign9I7nt9CHMGhLL+ORIbF3QGdJTo9ihlDoGfIXR1+FrESn2phAR2QZMaGZ7AdD+hvyaOjZve5mdFgf39Z2LtYXgfxWbN1O2ejVxd7Y/8N+2VUfIPVTKWUtG6aBuGs0Jcrigos4YvjmYz/EKI3jisD5hLJw2gFlDYpiaEkNoQNcX63oaPXawUqo/cCqwAPinUqrIrHjW9HCWbnueaJdwQQsd7OoC/8XHE33tNe06d1FuBd99kMbAsbEMntxsgzSNRtMMBWXVfHOwgK8PGHUNmccrAegbHsgZI/owa3AsMwfFEB/e/hhr3sYjo1BKJQGnYBjFOGAnsL4TdWm8xMGDK1knZfwiahyBwdHNpqkN/Nf3jw9hCQry+NwiwpoVe7BYFXOuGqZDQ2g0rVBZ42RjRqFhDPvz2ZVdAkBYoB8zUmO4aXYqpwyOJTU2pMf9lzzNwxwGNgF/EZGbO1GPxsss/fZvBLqEK1sI/icOB7n/eAL/1FQiL764Xefetf4oWfuKOG3hMEKj9DjFGo07DqeL7VnFdTmGHw4VUeN0YbMqJg2I4q6zhnLK4FjG9IvAr4cHXfTUKCYAs4CrlVL3YLR4Wisi/+00ZZoOk5u9lY/sx7gsZCBRUanNpil+/31qDh6k39NPtSvwX9nxar555wD9hkUyclb7WkhpNL0RESEtv7wux7AhrYDSKmNI15EJ4Sw+ZSCnDI5lysAogv19q/m4p3UUPyqlDgIHMYqfrgFmA9ooejCvrH8AF3DdKfc1u99VWUne088QNG4cYWd63n9SRFj72l5cTmHuNcN7XDZZo+kqckur+OZAQV0ldHZxFQD9IoM4b0wCp5j1DDGhvp3j9rSOYjNGVNdvMOomZovIoc4UpukY5cWZvFW2nzP940juN63ZNIUrVuA4dox+jz7Srof9gc25ZGzL55TLBhMRF+wtyRpNj6es2sF3aYYxfHOggL3HSgGIDLYxc1AMtw6OZdbgWPpHB/eqFyhP8z/zRUQHUPIh3ll7H6UWC4snNx+vqS7w35w5BE+Z4vF5K8tqWPfGPuIHhjP29GRvydVoeiR2p4utR4pYv9/IMWw9UoTDJQT4WZiaEs3FE/sxa3AsIxPCvd4buifhqVHUmEEAZ5vra4GHvN2XQuMd7NWlLM/fyCRrCGOGNT9IYf4LtYH/7mzXude/uZ+aSgenXzu8V/8xNCcvVXYna/bm8cmObL7cnUtZtQOlYGy/CG6ancqswbFMHBBFoO3kiYzsqVG8COzAiPUEcC3wEkaQQE0P47N1D5BjtfD70dc3u9+enc3x5SuIuPBCAod5HvgvY3s++zYeY8qCFGL6hXpJrUbT/VTUOFi9J4+Pd2Szek8uFTVOIoNtnDumL6cPj2d6agyRwSdvZ1JPjWKQiLiH7HjQDAeu6WGIw87SIytJtVg5dcJNzaapC/x3+20en7em0sHaV/cSnRjCpHPaHv9ao+nplFbZWbUnl0+257BmXy5VdhcxIf5cNKEf545OYFpqdJeEx/AFPDWKSqXULBFZD6CUOgWo7DxZmhPl243/YK8VHkq5EIulada4ev9+it9/n+hFi9oV+O+b9w5SXlTNOTeN6bLxrzUab1NcaefL3cf4eHsO6/bnUeNwERcWwBWTk5k/OoGpKdFYdZFqEzw1ip9jBOyLABRQCCxunEgp5UlRVJWIfOyxQo3niLB0z2vEKjhvRvMjxub+4wkswcHEtCPwX9a+4+xcl8W4M5Ppk+Jb419rNEUVNazcdYxPtmez/kA+dqeQEBHIwmn9OXdMApP6R+n6tjbwtB/FVmCcUircXC9pIekLGGHAW7vrswFtFJ3A3m0r+Mbq4Jd9TsXf1jQUR8X331O2ahVxv/oVflGejT7nqHGyevkewmMDmXZB8532NJqeRkFZNSt3HePj7dlsOFiAwyX0iwxi8cyBzB+TwPikSG0O7aBVo1BKNdskprZ9sIg0Hg71ExG5oY1zrmiPQI3nLN36T4JEuPzUB5vsqwv8FxdH9HXXenzOjf8vneK8Si781QRsevxrTQ8mt7SKz3YaOYdv0wpwiTGQz42npnLumL6M6RfRq/o2dCVt5SjC2nMyEWkz9KgnaTTtJyftCz6VUq6MHE1ESNOhYMtWraJyyxb6PvSgx4H/cg+VsPWLw4yclUjSMD3+tabnkVNcxac7svl4Rw6bMgoRgdTYEH5x2mDmj+nLyIRwbQ5eoC2jCBaR3yqlLncfuOhEUErNE5HPO3IOTcus2PAwAlzbXG7C4SD38X/gn5JC5CWetWh2OlysWrab4HB/Zl6ix7/W9Byyiir5ZHs2n+zI4ftDxwEY2ieU208fwrljEjptlLeTmbaM4lyl1O+Be4EOGQVGXKj+HTyHphlKj23n7ZpszgrpT2LMsCb7iz/4wAj899STHgf+27LyEAVZ5Zz78zEEBNu8LVmjaReHCyr4xMw5/HikCIARCeH8et5Q5o/py+D4dhV+aNpJW0+NT4F8IEQp5V6BrQARkQZNYJRSH7ZwHgXEnLBKTau8te5+yi0Wrp/+uyb7XFVV5D31NIHjxhI2b55H5ys8Ws6mjzMYMjmelHFNi7E0mq4gPb+cj7dn88mObHZkGY+fMf0i+M05w5g/OoGU2JBuVnjy0KpRiMjdwN1KqQ9EpPlYEA2pjSxb1mi7AqaemERNa9hLjvJKyR6mBcYwov+pTfYfNwP/JT7yd4+y4y6XsGr5bvwD/Jh1hee9tjUab3Agt5SPt+fw8fZs9uQYAffGJ0fyu3OHM390AsnROghld+BpP4o9jTcopf4mIr9ttPlboEJE1jaTfu8J6NO0wf/W3keun5WHJjbtZe0sKiLfDPwXMtUzn96+OpNj6SWcef1IgsNP3pAFmq5BRNh7zDCHT7Znsz+3DKVgUv8o7lswknNG96VfpOejLmo6B0+NYh7Q2BTmN94mIvNbOoGIzG5pn+bEkKpSXj62gSH+IcwcfnmT/fkvvICrtNTjwH8l+ZV8+8FBBoyOYejUPt6Wq9EAhjnsPFrCJzuy+WR7Dmn55SgFUwdG89CFozh7VF/69IBxojX1tNWP4ufAL4BBSqltbrvCgK89uYBSaoGIfHTiEjUtsX79nzhgs/Ln4QubFCvVBf674AKPAv+JCKtX7EFZFHOu1uNfazpORY2DrOOVZBWZ0/FKjhZV8sPhIg4XVmC1KKanRnPDrBTOHtWXuDDfHtynN9NWjuJV4BPgr4B7TIhSESn08BoPAdoovI2jhqUZ/yPez4/5k25psjvvmWdAxOPAf7u/ySZzz3HmXD2MsGj9NtcZ2O12MjMzqaqq6m4pXsHpkrrJUbfsqt8u9WnjgT7hMCVScemgKIJssQTarGZcpQryM9PI764PcpIRGBhIUlISNpvnrRnbqswuBoqVUo2LnUKVUqEictiDa+hX005g58Zn2GhT/HrAfGzWhl949f79FL/3PtHXXYetX782z1VeVM3Xbx8gcUgko/T4151GZmYmYWFhDBw4sMfn2Fwi2J0u7A6hxukyl13msrHPJYLCeIj4ARal8PezYLNa8LcqbH4W/K3GujGpHv+5ezsiQkFBAZmZmaSkpHh8nKd1FP8DBOOhHwikAHuBUR4c+zOP1Wg8Q4SXd68gxAqXzri3ye66wH8/az7MeMNTGeNfOx0uY/xrHf+m06iqquoxJuF0uahxCnaHYQI1jU3B6WpyjJ/VePAH2iyEB/q5GYHCZrVgtWgj6OkopYiJiSEvr30DlnoaFHBMo4tNpAUDUEr9SUR+r5R6SET+ICIb26VI0yY5ez5gpbWGhXFTCAtoGM21LvDfHXd4FPjv4A95pP+Yz4xLBhHZRzc97Gy64kEqYhQF1TjqH/q1plBrBE6XNDhGKYXNqvC3WggN8GuYMzBzBDqIXu/gRH6DnuYoGiAiPyilWhpoeZNS6lngsxM5t6ZtXt38BAIsPOUPDbaLCLmPPe5x4L+qMjvrXt9LXP8wxp/ReeNfiwjvb80iu7gKf6uFAD8L/rWT1eq2bMwDGq277w/ws/Sat1YRQcQo5hFz3SUgAoKxr24btWnN4zCPM9dri4Nqi4ZEGhqB1aLMB7+FkAC/Bgbg72fBT+cGNK3gkVE0iiJrASYCTfIuSqn7gWjgKsChlBovIg95Q6jGoCJnG2/b85gXNpDEyIZljGWrV1P5ww/0ffBBLMFt5w7Wv72f6nIHF/xyOJZOHMnr8c/38fSqA147X+2bb2MT8fczTCfA2nh7U7NpaV+tUVmUosbposbhotphzGvMN/La9WqHs8H2xmmrnQ3TPTQnCtfRYvPhbjz8pw9L4tu9mR597n89/jDBwSEsurlhAwWFUSxks1oItvlhC1J1dQOJcVEUl5RgtTT8fmfOnMk333zT5BqLFy9mwYIFXHbZZe3+XrZu3crRo0c599xzAfjwww/ZtWsX99xzD3l5eSxYsICamhqeeuopTj21aefQo0ePcvvtt/P222+3+9qNWbNmDf7+/sycORPo2OfqKTzwwAOEhoZy1113NdiekZHBggUL2LFjR6dd29MchXsgFQdGncU7jROJyINKqSeBGcAvtEl4n/e+eohSq4Xrpv2mwXYj8N/j+A8cSOSlbQf+O7SzgL3f5jD53IHEJnVenJz/rk/n6VUH+MnkZB64YFTdA7VuXvegdTZ5ILf4EG5yrNt+p4sah5OKGgdFlU3TuZ+j0Ut3u2hiSLUmZKs3nAh/W50xBfhZCLQpIoP9UYBFGUUASkFCRFCDdQv1y0opcx1iQvwJDQtgREI4yj0NrRcnNDYJoFmT6Chbt25l8+bNdUZxwQUXcMEFFwDw5ZdfMnz4cF5++eUWj09MTPSKSYBhFKGhoXVGoekgRvbXswnDMELbSDPOfd4d06RJk6Q34ijLlXP+M0KuWT6zyb7jb78tu4YNl+JPP2vzPNWVdll673p55f4N4qhxdoZUERF5e/MRGfDbj+RnyzaLw+nqtOucCC6XS2ocTimrskthWbXkFFfK4YJy2X+sVHZmFcv2zCLZm1MiGfllcrSoQvJLq6Skskaq7A5xuU7ss+zatavJtpCQkCbbPvzwQ5k6daqMHz9ezjjjDMnJyRERkfvvv1+uueYamTt3rgwePFief/75umP+/ve/y+TJk2XMmDHyhz/8odXzu293uVxyyy23yIgRI+Tcc8+V+fPny1tvvSUiIps3b5bZs2fLxIkT5ayzzpKjR4+KiMicOXPkN7/5jUyZMkWGDBki69atk+rqaklOTpbY2FgZN26cvP766/LSSy/JLbfcIlu2bGmw76677pInnniiTsvvfvc7efLJJyU9PV1GjRolIiIvvfSSXHzxxXL22WfL4MGD5e67765L/5///EeGDBkic+bMkRtvvFFuueWWBp8tPT1d+vTpI4mJiTJu3DhZt26dLFq0SG677TaZMWOGpKSk1H3G1u6dO5999plMnz5dJkyYIJdddpmUlpaKiMiAAQPkD3/4g0yYMEFGjx4tu3fvFhGRNWvWyLhx42TcuHEyfvx4KSkpafFa6enpMmzYMFmyZImMGjVKrr76avn8889l5syZMnjwYPnuu+9a/f7d75vD4ZC77rqr7hrPPfdcs5+nud8isFlaeq63tKNBIhgNbAEOmdP3wOgW0v7JnD/kybk7Y+qtRvHFJ7fJ6KWj5bOt/2mw3VlZKftmz5G0y6/w6CG29tU98szNX0r2waLOkiord+ZI6r3/k6tf2CBVdkenXceX8NQoCgsL677HF154Qe68804RMR4UY8eOlYqKCsnLy5OkpCTJysqSzz77TH7605+Ky+USp9Mp5513nqxdu7bF87tvf+edd+TMM88Uh8MhWVlZEhERIW+99ZbU1NTIjBkzJDc3V0REXn/9dbn++utFxDCKWk3/+9//5IwzzhARqTOGWtzX3ZfT09NlwoQJIiLidDolNTVV8vPzmxhFSkqKFBUVSWVlpfTv318OHz4sWVlZMmDAACkoKJCamhqZNWtWE6OovVePPPJI3fqiRYvksssuE6fTKTt37pRBgwaJiLR672rJy8uTU089VcrKykRE5OGHH5YHH3xQRAyjeOqpp0RE5Nlnn5UlS5aIiMiCBQtk/fr1IiJSWloqdru9xWulp6eL1WqVbdu2idPplIkTJ8r1118vLpdL3n//fbnwwgtb/f7d79u///1v+eMf/ygiIlVVVTJp0iRJS0trcn/aaxSeFj09D9wpIqsBlFKnmduay9fpyuzOwFHDsswv6Wfz5/QxixrsOv7KKx4H/ju6v4jta7MYe3oSfVMjOkXqt2kF3PLqD4xODOff104mwE+PjNceMjMz+clPfkJ2djY1NTUN2rtfeOGFBAUFERQUxNy5c9m4cSPr169n5cqVTJgwAYCysjL279/P7NltR81Zt24dV111FVarlcTERE4//XQA9u7dy44dO5hnRhx2Op0kJCTUHXeJOa7JpEmTyMjIaNfnGzhwIDExMWzZsoVjx44xYcIEYmJiKC0tbZDujDPOICLC+I2OHDmSQ4cOkZ+fz5w5c4iOjgbg8ssvZ9++fR5d96KLLsJisTBy5EiOHTsGwMqVK9u8d99++y27du3ilFNOAaCmpoYZM2Y0ey/effddAE455RTuvPNOFi5cyCWXXEJSUlKL1+rfvz8pKSmMGWM0Lh01ahRnnHEGSinGjBnT4P429/2PHz++bv/KlSvZtm1bXRFecXEx+/fvb1efiebw1ChCak0CQETWKKWaxPjVldmdx45N/+QHm4XfDDwPP0v91+YsLib/388TMmd2m4H/HHYnq1fsISym88a/3pFVzI0vb6Z/dDAvXT+V0IATalh3UnPbbbdx5513csEFF7BmzRoeeOCBun2NXwSUUogI9957Lz/72Yl1WWru5UJEGDVqFBs2bGj2mIAAI9yG1WrF4XC0+5o33ngjS5cuJScnhxtuaH705NpruF9HOlCx5H6+2vN4cu9EhHnz5vHaa6+1el73e3HPPfdw3nnn8fHHHzN9+nS++OKLFq+VkZHRQJvFYqlbt1gsDe5vc99/Y61PP/00Z599douf50TwtKlLmlLqPqXUQHP6PZDeOJGI1A6vNsNc1ybhDURYtnsZoQIXN6rELjAD/8V7EPhv0/8yKDpWwdxrhuMf6P0HeFpeGYte3EhEkI3lS6YSHaKjz54IxcXF9DN71Deu/P3ggw+oqqqioKCANWvWMGXKFM4++2xefPFFysqM6P5ZWVnk5uZ6dK3Zs2fz+uuv43Q6yc7OZvVq431w2LBh5OXl1RmF3W5n586drZ4rLCysSa6gJS6++GI+/fRTNm3a1K6H2tSpU1m7di3Hjx/H4XDwzjtN2tS0S4sn92769Ol8/fXXHDhgtNyrqKhoMxdz8OBBxowZw29/+1smT57Mnj17OvQ91dLc99/48/zrX//CbrcDsG/fPsrLy9t1jebw9GlxA/Ag8K65vg64voW0LwFjMVtFmaYyEaPu4oeWLqCUSgaWAX0BF/C8iDyplIoG3gAGAhnAFSJy3EPdvYKcvR+x0lLDNbGTCQ2s72Bnz8mhcPkKIi44n8BhTUe2cyfvcClbVh5mxMwEkkdEe11jdnEl1/7X6Fu5fMlUEiJ0aGhPqKioICkpqW79zjvv5IEHHuDyyy+nX79+TJ8+nfT0+neyqVOnct5553H48GHuu+8+EhMTSUxMZPfu3XXFIaGhoaxYsYL4+Pg2r3/xxRezatUqxowZw9ChQ5kzZw4A/v7+vP3229x+++0UFxfjcDi44447GDWq5WAMc+fO5eGHH2b8+PHce2/TiAHu+Pv7M3fuXCIjI7FaPS+a7NevH7/73e+YNm0aiYmJjBw5sq54yp3zzz+fyy67jA8++ICnn366xfOdddZZbd67uLg4li5dylVXXUV1dTUAf/rTnxg6tOVgm0888QSrV6/GarUycuRI5s+fT0BAQLPXas/nb+77dy+auvHGG8nIyGDixImICHFxcbz//vsen79FWqq86MgEbDPns4CvgAuB79o4JgGYaC6HAfuAkcDfgXvM7fcAf2vr+r2tMvuxZafJ2JdGSVbhgQbbs/7v/2T36DFSfSSz1eMdDqe8/qfv5MW7v5LKshqv6ysoq5YzHlsjo/7wqWzP7LwKcl+nuQrEkxWn0ynjxo2Tffv2tfvY2hZHdrtdFixYIO+++6635fV62luZ3Vm9rJzm/DzgXyLyAdBqOYSIZIuZ4xCRUmA30A/DZGrz3y8DF3WG4J5K+bEdvG3PZV5wfxKjBtVtrz5wgOJ33yPq6qvxT2o98N/Wzw+Tf6SMOVcNIzDEu+Nfl1U7uP6ljRwurOA/iyYzul/nVJBreg+7du1i8ODBnHHGGQwZMqTdxz/wwAOMHz+e0aNHk5KSwkUXXeR9kZoGdFZNY5ZS6t/AmcDflFIBeF4fglJqIDAB+A7oIyLZYJiJUqrZ/LRS6ibgJoD+/ft3TH0P4v26DnZ3N9ie9+RTWIKCiLm59QrM4znlbPoog0ET40md4N3xr6sdTn62fDM7jpbw3DWTmJ6qh0XXtM3IkSNJS0s74eMfffRRL6rReEJn5SiuwGgee46IFGG0hLq71SNMlFKhGPUbd4hIiacXFJHnRWSyiEyOi/PuA7G7cJYXsKJ4B+OtYYwdMLdue+XOnZR+/jnRixe3GvhPXMLq5Xvw87cw+0rvjn/tdAl3vL6Vrw8U8PdLxzJvpB4RT6PprbQ1wt3TGOHFm0VEbm9hewX1Fd+YOYLstsQopWwYJvGKiNQef0wplWDmJhKA9jUT8GHWrP8TmX5W7hzdsPlg/lNPY4mIIHrxohaONNi+Novsg8WcsXiEV8e/FhF+9+52PtmRw+/PG8Glk5LaPkij0fgsbeUoNmP0wg7EaLm035zGU18P4RWU0SD4v8BuEXncbdeHQO0TcRHwgTev22Nx2ll25HP6iR+nj61vYFa5dStla9cSc/31WMNajtFUUlDJhvcP0n9UNMOm9fWqtL99upc3Nh/h1rmDufHUzumPofEep512Gps3b/bKuTIyMggKCmrQyeuGG24gPj6e0aNHN0h7991307dvX11U1Atoa4S7lwGUUouBuSJiN9efA1Z6WcspwLXAdqXUVnPb74CHgTeVUkuAw8DlXr5uj2T7pn/yg03xmwHzsVrqm8/lPfU01qgooq+9psVjRYS1r+xFgdfHv/732oM8t/YgC6f159dnebc4S9PzcDgc+Pk1fEwMGjSIrVu31q0vXryYW2+9leuuu65BukceeYSQkCb9cjU+iKd1FIk0jCAbam7zGiKyXkSUiIwVkfHm9LGIFIjIGSIyxJx7Ola37yLC8l1mB7vp9UOVV2zaRPk33xDz059iaeUPuPe7HA7vKmTGxYMIj/Fef4Y3Nh3mr5/sYcHYBB66cLQev6CDZGRkMHz4cG688UZGjx7NwoUL+eKLLzjllFMYMmQIGzca/VLKy8u54YYbmDJlChMmTOCDD4xM9dKlS7nooos4//zzSUlJ4ZlnnuHxxx9nwoQJTJ8+ncLC+r/KihUrmDlzJqNHj/bovJdffjnnn38+Z511VpufY/bs2XUhNTS9E0+N4mFgi1JqqVJqKfAD8JdOU3WSk7P/E1Zaqrk0ZkJdBzsRIe/Jp7DGxRJ11ZUtHlteXM36N/eTMCiC0bPbHi/bUz7dkc29725n9tA4Hr9iPFY92plXOHDgAL/85S/Ztm0be/bs4dVXX2X9+vU8+uij/OUvxl/sz3/+M6effjqbNm1i9erV3H333XW9bXfs2MGrr77Kxo0b+b//+z+Cg4PZsmULM2bMYNmyZXXXKS8v55tvvuGf//xnXciM1s67YcMGXn75ZVatWtXFd0TTE/F0KNSXlFKfANPMTfeISE7nyTq5eXXjYwBcPat+BLuKDRuo2LyZPr//PZaglnMJX72xD0eNi7nXem/8668P5HP7a1sZlxzJc9dMxN+v8wY5OtnwJBjcypUr+fDDD+vK+quqqjh8+DBg9IYOCwsjLCyMiIgIzj//fADGjBnDtm3b6q5z1VVXAcbbf0lJCUVFRa2ed968eTqXoKnD0xHuFEafiFQReUgp1V8pNVX0eNhepzxvF2/bc5gX0p/EqMFAfW7CLyGByCtarqI5uCWXgz/kMf2iVKL6eqds+McjRdy0bDMpsSG8tHgKwf46yJ838SQYnIjwzjvvMKxRmJbvvvuuQ8HkWjuvrlvQuOPpq+E/MQL9XWWulwLPdoqik5z3v3qIUouFa6fWdzspW7uWyh9/JPbmm7H4N9/MtarczrrX9hGbHMr4ed7pcHggt5TFL20kOtSfZUumEhmsg/x1B2effTZPP/10XcTTLVu2tPscb7zxBgDr168nIiKCiIgIr5xXc3LgqVFME5FbgCoAMYLy6aeGl3FWFLL8+DbGW0IZO9AYF0BEyH/qaWxJSURecnGLx379zgEqy+ycfu0IrF4Y/zqryAjyZ7VYWH7DNPqEB3b4nJoT47777sNutzN27FhGjx7Nfffd1+5zREVFMXPmTG6++Wb++9//eu28YBRrzZgxg71795KUlFR3fk0voqUgUO4TRigNK/CDuR4HbPHk2O6YfDUo4Oef/UpGLx0tK7+vH76weOVK2TVsuBx/970Wjzu8s0Ce+dmX8s17B1pM0x7ySqtk7iOrZfT9n8rOrGKvnFPTO4ICuo+m5gmNR5rT9Aw6KyjgU8B7QLxS6s/AeuCvXnetkxmng+WHP6efWDl9/I0AiMtF/lNP4z9wIBHnL2j2sJoqB6tf2UNkn2CmnDewwzJKq+wsfmkjR4sreXHxFEYmhrd9kOakwWq1Ulxc3KDDXUvcfffdrFixQtd39AI8bfX0ilLqe+AMQAEXicjuTlV2krF983P8YIPf9q/vYFfyySdU799P4qOPovya/6q++zCN0sIqLvn1RPxsHRtytMru5KfLNrMnu5QXrpvMlIG61YumIcnJyRw5csSjtI888giPPPJIJyvSdAWetnpaLiLXAnua2abxAst3vUyogotnGgO+iMNB/jPPEjBkCOHnzm/2mOyDxWxbncmYOUkkDI7s0PUdThe3vrqFb9MKefLK8cwd3vagNxqN5uTA06KnBsNaKaWswCTvyzk5yd7/KStVJZdGjyckwCjqKf7oI2rS04m97VaUpenX5LA7Wb18N6FRAUy/qGPxllwu4bfvbOeL3cd48IJRXDjeex31NBqN79OqUSil7lVKlQJjlVIlSqlScz2XkyU4Xxfw6kajw9PVs4xWJ2K3k//sPwkYOYKwefOaPeb7Tw5xPKeCuQs7Nv61iPCXj3fzzg+Z3HHmEBbNHHjC59JoNL2TVo1CRP4qImHAIyISLiJh5hQjIq0PiqvxiPK8vbxTk828oCQSo40ge0XvvYf9yBHibrut2XhKBVll/PDpIYZN60v/UR0bLOifaw7yn/XpLJ45kF+e0f7RxjSans6nn37KsGHDGDx4MA8//HB3y/FJPK3MvlcpFQUMwQg5Xrt9XWcJO1l4f/0DlFosXDf1LgBcNTXk/+s5AseNJfS005qkF5ew5pU9+Af5ccrlgzt07Ve+O8Qjn+3lovGJ/GHBSB3kT9PrcDqd3HLLLXz++eckJSUxZcoULrjgAkaOHNnd0nwKj+oolFI3AuswRq170Jw/0HmyTg6clUUsL/yRCZZQxqScCUDRW2/hyM4m7vbbm31w71iXRU5aCbMuH0xQ6In3efxo21F+//4OTh8ezyOXj8Oig/xpeiEbN25k8ODBpKam4u/vz5VXXlkXJVfjOZ4Wbv8SmAJ8KyJzlVLDMQxD0wFWr/8zWX5Wfj3KGJfJVVVFwXP/JmjyJEJmzmySvux4FRveP0jyiCiGdmAworX78vjVG1uZPCCKZ6+eiM0LPbk1mrZ48P/tZNdRj0c39oiRieHcf/6oFvdnZWWRnJxct56UlMR3333nVQ0nA54+IapEpApAKRUgInuAYW0co2kNl5Nlhz81O9j9FIDjr72OIy+P+F/+skluQkRY9/o+xCnMuXr4CRcT/XD4ODcv/57B8WH8Z9EUgvw71vdCo+nJiDQdyVkXsbYfT3MUmUqpSOB94HOl1HHgaGeJOhnY/v2/2eIHv00+G6vFiqu8nIIXXiBk5gyCp0xpkj5tSx7pP+Yz45JBRMSd2GBEe3NKuf6lTcSHB/DyDVOICLJ19GNoNB7T2pt/Z5GUlNSgg2BmZiaJiV4dc+2kwNPK7NpodA8opVYDEcCnnabqJGD5jqWEAhfP/B0AhStewVlYSNzttzdJW11hZ90bZmTYM5Kb7PeEI4UVXPvf7wjws7BiyTTiw3SQP03vZ8qUKezfv5/09HT69evH66+/zquvvtrdsnyOVo1CKdVcDIft5jwU6P3DknYC2Qc/Z6Wq4Nro8YQERuAsLaXgxRcJmTOboGZi6Gx47yCVJTWc94uxWE6gPiGvtJpr/vsd1Q4Xb/5sBsnRwV74FBpNz8fPz49nnnmGs88+G6fTyQ033MCoUV2fs/F12spRfA8IRnynxgjQsS7BJymvfmfEv7n6FGMEu8KXl+EqLibutqa5iaP7i9j51VHGnZlM/ID2B+grrrRz3YsbyS2pZsWN0xjWN6ztgzSaXsS5557Lueee290yfJpWjUJEUrpKyMlCef5+3q7OYl5QEgkxQ3EWFVG4dClh884kaHTDNx2n3cWaV/YQFhPItPPb78mVNU5ufHkTB3JL+c+iKUwaEOWtj6HRaE4iPA0KOLu57brDXft576sHKLNYuG7qrwEoePElXOXlxN56W5O033+awfGcChbcNg5bQPtaJ9mdLm559Qc2HzrOU1dOYM7QOK/o12g0Jx+etnq62205EJiKUSx1utcV9WKclcWsKNzKBFsYY1LPwlFYSOGKFYTPn0/gsKEN0hYeLef7Tw8xZEofBrQzTIfLJdz91o+s2pPLny8ezfnjdCsPjUZz4nja6ul893WlVDLw905R1ItZ/fVfyPKzcNeo6wAoeOE/SFUVsbfe2iBdbZgOW6CVWZe3L/6SiPDQR7t4f+tR7j57GAunDfCafo1Gc3Jyol1yM4HR3hTS63G5WHboE/qJhbnjb8J+LJfjr75KxPnnE5DasCpo5/qjZB8sZtZlQwgOb1+Yjqe+PMDSbzJYMiuFX5w2yJufQKPRnKR4WkfxNEYrJzDMZTzwYydp6pVs++EFtvgJv006G6vVj7znn0ccDmJv+UWDdGXHq9nw7gGShkcxbHr7wnS8/E0G//hiH5dOTOL/zh2he6BqNBqv4GmOYjNGncT3wAbgtyJyTaep6oUs3/EioS7h4lN+j/3oUYrefJPISy7Bv3//Bum+enMfTqcw5+ph7XrQf7A1i/s/3MmZI/rwt0vH6CB/Go3JDTfcQHx8PKNH60KQE8UjoxCRl92mV0Tk684W1pvITvuSzynnsuixhARGkP+v5wCI/fnNDdKlbc0jbUseUxekEBnveae41Xty+fWbPzItJZpnrp6Anw7yp9HUsXjxYj79VAeS6AiehhlfoJTaopQqdBvpzrthIHsxr35r1Ptffcr91Bw5QtF77xF5+eXY3GLOVFc6WPfaXmKSQhl3pudhOjZlFPLzV75neEIY/1k0mUCbDvKn0bgze/ZsoqObCzKh8RRPm8c+AVwCbJfmwjFqWqS8MI23qzM5K6gfCbHDOHrPvSirlZif/axBum/fP0hFSQ3zfz4Wq4c5gl1HS7hh6SYSI4JYev1UwgJ1kD9ND+aTeyBne9vp2kPfMTBfj1rX2XhaRnEE2KFNov28t+5+yiwWrp1yJ9Vp6RR/+CFRV12FrU98XZrsg8XsWJfF2LnJ9BnoWZiOQwXlXPfiRkID/Fi2ZCqxoQGd9RE0Gs1Jjqc5it8AHyul1gLVtRtF5PFOUdVLcFaVsqLgBybYQhkz6Byy7vw1KjCQmJ/eWJ/G7mL1ij2ERgUw9QLPIqbkllZx7X834nS5eP2mGSRF6SB/Gh9Av/n7LJ7mKP4MVGD0yg5zmzStsOobo4PddSOupWrfPko++YTohQvxi6nvaf3DykMczy5nzlXD8A9s27dLquwsfnETeaXVvLh4CoPj9deg0Wg6F09zFNEiclZnClFKvQgsAHJFZLS5LRp4AxgIZABXiMjxztThNVwulqX/j34WC3Mn3kz2HXdiCQkhZskNdUmO55Sz+ZMMhkyOZ+CY2DZPWWV3ctOyzew7Vsp/Fk1mQn8d5E+jaYurrrqKNWvWkJ+fT1JSEg8++CBLlizpblk+hac5ii+UUp1qFMBS4JxG2+4BvhSRIcCX5rpPsG3Lf9nqJ1ybPI+aPXsp/fxzohctwhoZCRhhOlav2IPN38qsK4a2fjLA6RJ+9cZWvk0r5NHLx3HasPg2j9FoNPDaa6+RnZ2N3W4nMzNTm8QJ4KlR3AJ8qpSq7KzmsWYk2sYDIV0IvGwuvwxc5M1rdibLd/yXMJdw0Sn/R/5TT2OJiCB68aK6/bu+Pkr2gWJmXjq4zTAdIsIfPtjBJzty+P15I7hoQr/Olq/RaDR1eBoUsLsKwvuISLapIVsp5ROv0UfTV/O5lHFt1Bgsew9RtnYtcb/6FdYw4zaWF1fzzbsH6Tc0khEzE9o83xNf7OeV7w5z85xB3HiqHitKo9F0LW0NhTpcRPYopSY2t19EfugcWe1HKXUTcBNA/0ZhMbqaug52s/5A3m8exRodTfQ1C+v2f/XGPpx2F6ctHN5mmI7l3x7iyS/3c9mkJH57zrBO1a3RaDTN0VaO4k6Mh+9jzewTOn88imNKqQQzN5EA5LaUUESeB54HmDx5crf19ygvTOedqsOcFZhIRHoZh775hvjf/AZLSAgA6T/mcfCHPKZdmEpkn9abtX68PZs/fLCDM4bH8/AlY3SQP41G0y20NRTqTeZ8btfIacKHwCLgYXP+QTfp8JjaEeyunXwHeQ8+hTUulqirrgSgptLButf3EZ0YwoSzWs/1fHMgnzte38rE/lE8c/VEHb9Jo9F0G60+fZRSU5RSfd3Wr1NKfaCUespsuuo1lFKvYUSmHaaUylRKLcEwiHlKqf3APHO9x+KsLmNFwWYmqiBS86Ko2LyZ2J/djCUoCIBvP0ijrKiaudcObzVMx46sYm5a/j0DY4P576LJBPnr+E0ajab7aOs19d9ADdSNm/0wsAwoxizm8RYicpWIJIiITUSSROS/IlIgImeIyBBz3rhVVI9i1dd/Jctq4brhC8l98kn8EhKIvOJyAHLSitm+NpMxpyXRNyWixXMcKihn8UsbCQ/04+UbphIZ3L6BizQaTT1Hjhxh7ty5jBgxglGjRvHkk092tySfpC2jsLo9nH8CPC8i74jIfcDgzpXmY4iwLOMjklwWJpeNoerHbcTefDMWf3+cDjNMR2QA0y9sudVSfWgOYdmSaSREBHXhB9Boeh9+fn489thj7N69m2+//ZZnn32WXbt2dbcsn6NNo1BK1dZjnAGsctvnaa/uk4Ift77IVquLa/qdTuEzz2JLTibykosB2LLyMIVHy5ndSpiOpqE5QrtSvkbTK0lISGDiRKPRZlhYGCNGjCArK6ubVfkebT3sXwPWKqXygUrgKwCl1GCM4ieNyfJt/yHMJZxln0P+rntJ+OtfUTYbRccq2PxxBoMmxpMytvkwHTo0h+Zk4G8b/8aewj1ePefw6OH8dupvPUqbkZHBli1bmDZtmlc1nAy01erpz0qpL4EEYKVbmHELcFtni/MVjh5axxdSynXhoyh97kX8Bw4k4vwFiBhhOqw2C6f+ZEizx7qH5njiJ+N1aA6NphMoKyvj0ksv5YknniA83LNQ/pp62iw+EpFvm9m2r3Pk+CavbvgrAJfVnEn5/sdJfOxRlJ8fu74+ytH9RZy2cBghEU3Hi9ChOTQnE56++Xsbu93OpZdeysKFC7nkkku6RYOvoxvnd5CyokO8U3mYs23x2Je9R8CQIYTPn2+E6XjnAIlDIhl5SmKzx9aG5vjZnFQdmkOj6QREhCVLljBixAjuvPPO7pbjs2ij6CDvrTM72JXOpiY9ndjbbkVZLKx/az/2GienLRyGsjTtUe0emuOec4Z3vXCN5iTg66+/Zvny5axatYrx48czfvx4Pv744+6W5XPolksdwFlTwSv5G5lMMIHvfINl5AjC5s0jY3s+BzbnMvX8FKL6hjQ5Tofm0Gi6hlmzZqFHcO44OkfRAVZ9Y3SwuylvAvYjR4i7/Xbs1U7WvrqX6MQQJp49oMkxOjSHRqPxNfRT6kQRYVnahwyogdhP9hM4biyhc+bw3YdmmI5rhmP1a3h7dWgOjUbji2ijOEF+/HEpW60ubj80GEdODnG3305uRinbVmcyenY/+qY2DNOhQ3NoNBpfRRvFCbJ82wtEV7sYuCaP4MmTCZw2ndUrdhMSEcCMiwY1SFsbmsPhEpYtmapDc2g0Gp9CG8UJkHVoPZ+7Svjlnnic+QXE/fJ2fvziCAVZ5cy+cij+QfVtBNxDc7y0eAqD47trsECNRqM5MbRRnACvfvtXAmuEkV9XEDJzBjUDRrHpfxmkTogjdXxcXTr30Bz/umaiDs2h0Wh8Em0U7aSs+AjvVmRw69YQpLiE2NtuY80re7H6WZj9k6F16dxDczxy+VgdmkOj6QaqqqqYOnUq48aNY9SoUdx///3dLckn0f0o2sl76+7HWaOYtNFB6Jw5HKrsS9be3cy5ehghkUaYjsahOS6ekNTNqjWak5OAgABWrVpFaGgodrudWbNmMX/+fKZPn97d0nwKnaNoB46aCl7J28iNm6yoskpCbryFr9/ZT8LgCEbNqg/T8eSXOjSHRtMTUEoRGmqE7Lfb7djtdt3B9QTQOYp2sGrD3yiqgVO+F8LmncnmbRbs1U5OWzi8LkzHim8P8cQX+7l0og7NodG4k/OXv1C927thxgNGDKfv737Xahqn08mkSZM4cOAAt9xyiw4zfgLoHIWniLDs4Acs/FawVDmoPO9G9m86xqRzBhKdYITp+Hh7Nvd9sIPTh8fz8KU6NIdG0xOwWq1s3bqVzMxMNm7cyI4dO7pbks+hcxQe8uP25aRXObjnB0XwOeexdl05UX2DmWSG6XAPzfHs1ROx6dAcGk0D2nrz72wiIyM57bTT+PTTTxk9enS3avE19NPMQ5b/+G8u3+DC6hAyRl1BaWEVp10zHKvNUheaY0CMDs2h0fQk8vLyKCoqAqCyspIvvviC4cN1kXB70TkKD8g68g2bi4pYvAVc8xey8/sSRs3uR+LgSDM0xybCA/1YtkSH5tBoehLZ2dksWrQIp9OJy+XiiiuuYMGCBd0ty+fQRuEBr37zFy7aICj82B46myA/mHHxILfQHC5ev2mGDs2h0fQwxo4dy5YtW7pbhs+ji57aoKwkk9U5aZz5o5B/9m0UHKth9pVDqVGiQ3NoNJqTAp2jaIN31z3A/A1QHdSH3dWDSRkXQ7/RMVz/0ib2HSvlhUWTdWgOjUbTq9E5ilZw2Cv5bN8GTtsmpJ1yOxY/C6f8ZCi/emMrG9IKeOTysczVoTk0Gk0vRxtFK6za8AizNgh5faeTWx3JjIsG8fe1+3VoDo1Gc1KhjaIlRPjfxneYvjeEg8OvpG9qBF/ay43QHLN1aA6NRnPyoI2iBbZuf4UxX9s5MPgyHMqfsjHhPPHlASM0x3zdDluj0Zw8aKNogY8+f4ZhOcPJjZ9C+IQYHli3T4fm0Gh8FKfTyYQJE3QfihNEG0UzZGV+S791lewddhUBkX78KS2LCcmROjSHRuOjPPnkk4wYMaK7Zfgs+qnXDB+9/Qdi7edRHRjDG6qKpNhgXlw8RYfm0Gh8kMzMTP73v/9x4403drcUn0X3o2hEWelRgtfA4eTTORhopzzcj3d0aA6NpsN89eY+8o+UefWcscmhnHrF0FbT3HHHHfz973+ntLTUq9c+mdA5ikZ8uuxOJORqRKpYH6lYtmSqDs2h0fgoH330EfHx8UyaNKm7pfg0PpGjUEqdAzwJWIH/iMjDnXEdh72KyjWxlMb058uQSp67QYfm0Gi8RVtv/p3B119/zYcffsjHH39MVVUVJSUlXHPNNaxYsaLLtfgyPT5HoZSyAs8C84GRwFVKqZGdca3P/30fZZHn4XIc5LafTmaiDs2h0fg0f/3rX8nMzCQjI4PXX3+d008/XZvECdDjjQKYChwQkTQRqQFeBy709kXsDifZ3w0AhD5XTOf04X28fQmNRqPxSXzBKPoBR9zWM81tDVBK3aSU2qyU2pyXl9fui6Rv+wGXNZJA/6+44qwxJ65Wo9H0SE477TQ++uij7pbhk/hCHUVzvdukyQaR54HnASZPntxkf1sMnTiFvk+Owt+qO+RoNBqNO75gFJlAstt6EnC0My4UHhEMBHfGqTUajcZn8YWip03AEKVUilLKH7gS+LCbNWk0J4RIuzO7Go1XOZHfYI83ChFxALcCnwG7gTdFZGf3qtJo2k9gYCAFBQXaLDTdhohQUFBAYGBgu47zhaInRORj4OPu1qHRdISkpCQyMzM5kcYWGo23CAwMJCmpfWPp+IRRaDS9AZvNRkpKSnfL0GjaTY8vetJoNBpN96KNQqPRaDStoo1Co9FoNK2iemMLDKVUHnDoBA+PBfK9KKcz8SWt4Ft6fUkr+JZeX9IKvqW3I1oHiEhcczt6pVF0BKXUZhGZ3N06PMGXtIJv6fUlreBben1JK/iW3s7SqoueNBqNRtMq2ig0Go1G0yraKJryfHcLaAe+pBV8S68vaQXf0utLWsG39HaKVl1HodFoNJpW0TkKjUaj0bSKNgqNRqPRtIo2Cs1Jj1KqucGxNB1AKWXrbg0a73HSGYVSapBSKqi7dXiKUmqsUiq0u3V4glLqEqVUTHfr8ARl8CulVJL08Io6U+uflVKndbeWtjC1PgDcUbverYLawNR7nlIqvru1eIJSaohSqn0xwr3ASWMUSqmFSqmdwCPAO0qpHh0519S7DXgQeMMctKnHopS6H3gB+El3a2kLpdR1wGpgAlDSkx9mSqkJwEZgBHC4J7+pK6Wuwbiv1wHXAPRkE1ZKXYQxxs2twH+VUqO6V1HLKKUuVEodBB4C/qOUiu7K658URqGUuhD4GbBERC7BGO/0p+a+HncPlFLzMfT+XEQuBgYB55v7etRDze3+VQAvA8OVUpMa7esxKKVOAZYCd4nIdSJSUvsw60n31k3LcGCZiFwiImmAsxtlNcF8I/dTSi3B+E/9RkRSgawe/uCNAW4ArheR+YANGGnu6zG/AwDTFG4ErhaRq4Bc4P+UUkO7SkOP+yN7C6VUmNvqj8AiEfnWXH8KuAhARFxdLK1ZGun9QkRmi8jXSqkIIM1Mo3rCG5q7Vrf7ZwXKMMY4P7/Rvm6lkd6vMYbXHWHuu0cpdb5SKrQn3Vs3LfMBu7nvKeAPSqkpPSFnoZQKEwMH8LaIzBGRjUqpEUAp0NMeuO7/sRogFOhrrruABKVUQpcLa4ZGWsG4l7X/p9eBS4Fzu6qkoVcahVLqHmCLUurvSqmFIpIBHHZLkgp80y3imqGR3utExK6Usiil+mCM7FeE8cN4RCk1vIdo/ZtSapG5zQaEA68Cn2D84f6hlDqnG6UCTfQuMTf/AnhZKbUViARuo+fd2xvMze8C85VSbwHZ5rZfAAu7Q2MtjX6zi0SkWCllNV9mdgMDgfFm2m5/zjTSe42IlAIrgKuVUrkYz4exwB+BM7tRamOtV4tIIbAdWKSUigImA5sxTK5fl4gSkV41AacD64AUYC7Gn2usuc9mzh8Fru1urW3pNfdHmvNo4EPg3B6mdby57y/AVOBqIAfYB6T0wHs70dx3CzDZXI4D3gfO7mFaRwEDMB5oH5vpAoCbMR5oAT1Ia+1/zM+c3w48153ffxt6x5j7Lgb+YS6HYdRh3tzDtA41fwePA/8DXjF/G2uAgV2hq9udvhOwAVtEJF1EVgNPAn8FEBG7mWYM8JVSaqhS6gHVvS11mtP7cO1OESky54UYZZNR3SHSpDmtfzFzFDaMOoo7MEzjI2BOdwk1aVYvgIg8KyKbzeU8oBDDjLuLxlqfwtCaBXwK9FFKpYpINRAB2M3lnqDV/T/mMNNUA8VmHUZ3P2ea0/t3c18h4FRKRYmRy1AYdZjdRWOtTwOPicghEbkTo551oYjsxCjm7ZLfbHd/gZ1BMBBT24RMRB7GKAq5HIzmsRg390GMsr58ESnoLrE0r7evm16rUipaKfUoRlZ+U7cpbV5rIoYhvAf8XUSmishTwFYgo5t01tKc3vjaewtGRaFS6jGMYoeedG//ivEWeb6IrAA+AJ5RSv0To2XZd92mtI3/mMkejIpike6vq2rpP3Y+Ru63D0bR42PAPIxWZt1FY61/AfoppX5irucopZKVUs9iFDvt7RJV3ZXF6ugEXIuZfWxm3wbgMrf1K4FvzeUhQAFGFjOoB+vdYC6PBT7HeAsK6YFaFwLrm0mnfODepgCfYby998R7e1WtVnN9MnBTD9V6ZSOtVozcpV9X/Rbaqfdq4CtzeRDGi+ODPnJvPwCeA4K7QquI+J5RAOMwWjG9D4xz264wy2zNG7sOs/wO6A/80/zRxgEJPqLXhtEyI7aHa30G403I4iO/hWcBfyAQiPYBrV3y8PKS1i57eHlB7z9r7y1dZ2Ydubeh5nqX32Ofix6rlLoXKBCRZsPpKqVSgXSMt4NEYAtGc81DIvKzLhNar+dE9WaIyM1dJhTf0mrq8Rm9Wmvn4Ut6fUmrOz2+jqKZzi/DMcoVUUYIhnOUUpHm+m8xyhdnAY8BL2G0xPmyq0zCi3o7/UfhS1p9Ta/WqvX6mtbW6NE5CqXUrcAZwFrgLRHJUkr9FTgInIdxw6MwykP/BMwA3hCR427nsIpIl/Rm9SW9vqTV1/RqrVqvr2ltk64u62pHWd7FGK1Q5mI467MYZXVXAquAR8x0VnP9fLdjrXRhZaqv6fUlrb6mV2vVen1NqydTTy56mgb8S4y2xA8Ah4B7ReR1DCe2KaX6iOG232C0XKgNc+EU845rvT6v1df0aq1ar69pbZNuN4rGZXhu62kYTdgQkUMYvZLjlFKzMJq22oF7lVL3AZdhZO/o7BvsS3p9Sauv6dVaOw9f0utLWjtCtxsFRhPQOtxu1NtAhTIiv4LRlX0VMFNEtmD0BN2D0SzzTHOb1uu7Wn1Nr9aq9fqa1hOm28ZkUErNAO4Ejiql/g3sFRGnUspPjDAAxzF6+/5cKfWhGEHHQoAQqAtp8ZzW69tafU2v1qr1+ppWb9AtOQpljCb1DEZk1ALglxix4ZH6WDFBGL1ms4HnlVKJGAPN1Gi9vUOrr+nVWrVeX9PqNaQbatAx4qm8Zi6HAGdjBJEbbm77E8ZNnoARl+lPGJES/wlYtd7eodXX9GqtWq+vafXaZ+6iG3sR8DvgPHM9DtgPDDLXo4H7gb9hlNm9WrvP7RxdF9fEh/T6klZf06u1ar2+prXT7kEn3+DaOP/rMGLo52IGu8IIpf2EuWzB6I34Am6xd+j62EE+o9eXtPqaXq1V6/U1rZ1+Lzr5Rk8H7nZbvxb4xlwehxFn/0xzfQRGE7LaIF1dfpN9Sa8vafU1vVqr1utrWjt78nqrJ6XUdRjDCm4EvscIcIVSygrsAnaaSbdjjAfxhFLqIoyu7gqzuZl0UQx7X9LrS1p9Ta/WqvX6mtauxCtGYXYy6YtRNufCiGXyU+CXInJMmfFKlDHoegTU3cilZguCezCCZf1UzBHdOhNf0utLWn1Nr9aq9fqa1m7DC9kzqzkfCqwwl/0whvB7t1GaZcAV5nJft3P4d1UWypf0+pJWX9OrtWq9vqa1O6cTzlEopfyAhwCrUupjIBxwgtGWWCl1O0ZnlDkistY8rAxIV0o9BFyilDpHRDJFpNPbFvuSXl/S6mt6tVat19e09gROqMOdUmoORvldFHAA+CNG7JK5SqmpUNeV/SGMgFi1ZXw3YHRtDwfmikhmB/X3Or2+pNXX9GqtWq+vae0xnEg2BDgVuNZt/Z/Az4HFwPfmNgtGud+bGIPEDwKeACZ2dbbJl/T6klZf06u1ar2+prWnTCd6o4OBAOrL7hYCfzWXtwK3mcuTgde7/UP6kF5f0uprerVWrdfXtPaU6YSKnkSkQkSqpX7kpXlAnrl8PTBCKfUR8BpGFq9JON6uxJf0+pJW8C29Wmvn4Ut6fUlrT6FDzWPNcjsB+mB0NgEoxejuPhpIF5Es6Blx1n1Jry9pBd/Sq7V2Hr6k15e0djcdjR7rwuhgkg+MNV34PsAlIutrb3IPwpf0+pJW8C29Wmvn4Ut6fUlr99LRsiuMbu4uYD2wpLvL0nqTXl/S6mt6tVat19e0duekzJt1wiilkjBioDwuItUdOlkX4Et6fUkr+JZerbXz8CW9vqS1O+mwUWg0Go2md9MtI9xpNBqNxnfQRqHRaDSaVtFGodFoNJpW0Uah0Wg0mlbRRqHRdBClVKRS6hfmcqJS6u3u1qTReBPd6kmj6SBKqYHARyIyuru1aDSdgdeHQtVoTkIeBgYppbYC+4ERIjJaKbUYuAiwYoSEeAzwx2i3Xw2cKyKFSqlBwLNAHFCBMVLanq7+EBpNS+iiJ42m49wDHBSR8cDdjfaNBq4GpgJ/BipEZAKwAbjOTPM8RsTSScBdGGGvNZoeg85RaDSdy2oRKQVKlVLFwP8zt2/HiC8UCswE3nILUBrQ9TI1mpbRRqHRdC7uYSFcbusujP+fBSgycyMaTY9EFz1pNB2nFAg7kQNFpARjHObLwRj3QCk1zpviNJqOoo1Co+kgIlIAfK2U2gE8cgKnWAgsUUr9COwELvSmPo2mo+jmsRqNRqNpFZ2j0Gg0Gk2raKPQaDQaTatoo9BoNBpNq2ij0Gg0Gk2raKPQaDQaTatoo9BoNBpNq2ij0Gg0Gk2raKPQaDQaTav8fwDptJ7mEZGGAAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
diff --git a/docs/source/notebooks/Subset_climate_data_over_watershed.ipynb b/docs/source/notebooks/Subset_climate_data_over_watershed.ipynb
index 63f7749b..8f552afa 100644
--- a/docs/source/notebooks/Subset_climate_data_over_watershed.ipynb
+++ b/docs/source/notebooks/Subset_climate_data_over_watershed.ipynb
@@ -34,11 +34,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Set the links to the remote servers. If you run these services locally, the default ports that the WPS services are mapped to are 9099 for Raven and 8093 for Flyingpigeon, that is:\n",
-    "# Local Raven URL: http://localhost:9099/wps\n",
-    "# Local Flyingpigeon URL: http://localhost:8093/wps\n",
+    "# Set the links to the servers. \n",
+    "# Note that if Finch is a remote server, Raven needs to be accessible on the next because some cells \n",
+    "# below use the output from Raven processes to feed into Finch. \n",
     "\n",
-    "# Links to the remote servers\n",
     "url_finch = os.environ.get(\n",
     "    \"FINCH_WPS_URL\", \"https://pavics.ouranos.ca/twitcher/ows/proxy/finch/wps\"\n",
     ")\n",
@@ -48,8 +47,8 @@
     ")\n",
     "\n",
     "# Establish client connexions to the remote servers\n",
-    "finch = birdy.WPSClient(url_finch)  # , progress=True)\n",
-    "raven = birdy.WPSClient(url_raven)  # , progress=True)"
+    "finch = birdy.WPSClient(url_finch)  \n",
+    "raven = birdy.WPSClient(url_raven)"
    ]
   },
   {
@@ -157,13 +156,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Downloading to /tmp/tmp0i_12hxt/nrcan_canada_daily_tasmin_1990_avg.nc.\n"
+      "Downloading to /tmp/tmp933rj2jt/nrcan_canada_daily_tasmin_1990_avg.nc.\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f51999fcc70>]"
+       "[<matplotlib.lines.Line2D at 0x7feaa2979760>]"
       ]
      },
      "execution_count": 7,
diff --git a/docs/source/notebooks/index.rst b/docs/source/notebooks/index.rst
index 52d34026..8ae8087d 100644
--- a/docs/source/notebooks/index.rst
+++ b/docs/source/notebooks/index.rst
@@ -61,7 +61,6 @@ Advanced workflows
    :maxdepth: 1
 
    Full_process_example_1
-   Bias_correcting_climate_data
 
 .. _OWSLib: https://geopython.github.io/OWSLib/
 .. _Birdy: https://birdy.readthedocs.io
diff --git a/docs/source/notebooks/Bias_correcting_climate_data.ipynb b/docs/source/notebooks/sandbox/Bias_correcting_climate_data.ipynb
similarity index 100%
rename from docs/source/notebooks/Bias_correcting_climate_data.ipynb
rename to docs/source/notebooks/sandbox/Bias_correcting_climate_data.ipynb
diff --git a/raven/processes/wps_regionalisation.py b/raven/processes/wps_regionalisation.py
index 90c1b5e8..888d85ec 100644
--- a/raven/processes/wps_regionalisation.py
+++ b/raven/processes/wps_regionalisation.py
@@ -177,7 +177,6 @@ def _handler(self, request, response):
 
         kwds = {}
         for spec in request.inputs.pop("nc_spec", []):
-            print(spec.data)
             kwds.update(json.loads(spec.data))
 
         for key, val in request.inputs.items():

From c9037fd1cbc52e74a8dd834a430f068a7cf629ca Mon Sep 17 00:00:00 2001
From: David Huard <huard.david@ouranos.ca>
Date: Fri, 16 Apr 2021 16:38:33 -0400
Subject: [PATCH 2/4] update CHANGES

---
 CHANGES.rst | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/CHANGES.rst b/CHANGES.rst
index 5f092051..28af7d49 100644
--- a/CHANGES.rst
+++ b/CHANGES.rst
@@ -1,6 +1,12 @@
 Changes
 =======
 
+0.12.1
+------
+* Fix bug where the name of configuration files was used, while the client transmission of data does not carry the file name.
+* Update notebooks
+* Move draft notebooks to sandbox
+
 0.12.0
 ------
 * Update RavenPy to 0.4.2

From 538a80844b07d5fcded2a073c3cedd1d9a15302a Mon Sep 17 00:00:00 2001
From: David Huard <huard.david@ouranos.ca>
Date: Fri, 16 Apr 2021 16:39:18 -0400
Subject: [PATCH 3/4] bumpversion -> 0.12.1

---
 .cruft.json          | 2 +-
 Dockerfile           | 2 +-
 docs/source/conf.py  | 4 ++--
 raven/__version__.py | 2 +-
 setup.cfg            | 2 +-
 5 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/.cruft.json b/.cruft.json
index e1e25775..f0663e0b 100644
--- a/.cruft.json
+++ b/.cruft.json
@@ -23,7 +23,7 @@
             "project_repo_name": "raven",
             "project_readthedocs_name": "pavics-raven",
             "project_short_description": "Raven offers processes related to hydrological modeling, and in particular, the Raven hydrological modeling framework.",
-            "version": "0.12.0",
+            "version": "0.12.1-beta",
             "open_source_license": "MIT license",
             "http_port": "9099",
             "_copy_without_render": [
diff --git a/Dockerfile b/Dockerfile
index 1d0d408f..14e4e647 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 # vim:set ft=dockerfile:
 FROM continuumio/miniconda3
 MAINTAINER https://github.com/huard/raven
-LABEL Description="Raven WPS" Vendor="Birdhouse" Version="0.12.0"
+LABEL Description="Raven WPS" Vendor="Birdhouse" Version="0.12.1-beta"
 
 # Update Debian system
 RUN apt-get update && apt-get install -y \
diff --git a/docs/source/conf.py b/docs/source/conf.py
index 72be3fb6..79b91b33 100755
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -134,9 +134,9 @@
 # the built documents.
 #
 # The short X.Y version.
-version = "0.12.0"
+version = "0.12.1-beta"
 # The full version, including alpha/beta/rc tags.
-release = "0.12.0"
+release = "0.12.1-beta"
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/raven/__version__.py b/raven/__version__.py
index ea4451ff..d686ac9a 100644
--- a/raven/__version__.py
+++ b/raven/__version__.py
@@ -6,4 +6,4 @@
 
 __author__ = """David Huard"""
 __email__ = "huard.david@ouranos.ca"
-__version__ = "0.12.0"
+__version__ = "0.12.1-beta"
diff --git a/setup.cfg b/setup.cfg
index 54f598f6..2562898f 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.12.0
+current_version = 0.12.1-beta
 commit = False
 tag = False
 parse = (?P<major>\d+)\.(?P<minor>\d+).(?P<patch>\d+)(\-(?P<release>[a-z]+))?

From 32492ee27bd664d7a52e5ca9e640b56523c6bc38 Mon Sep 17 00:00:00 2001
From: David Huard <huard.david@ouranos.ca>
Date: Fri, 16 Apr 2021 16:51:41 -0400
Subject: [PATCH 4/4] bumpversion

---
 .cruft.json          | 2 +-
 Dockerfile           | 2 +-
 docs/source/conf.py  | 4 ++--
 raven/__version__.py | 2 +-
 setup.cfg            | 2 +-
 5 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/.cruft.json b/.cruft.json
index f0663e0b..95ceb39a 100644
--- a/.cruft.json
+++ b/.cruft.json
@@ -23,7 +23,7 @@
             "project_repo_name": "raven",
             "project_readthedocs_name": "pavics-raven",
             "project_short_description": "Raven offers processes related to hydrological modeling, and in particular, the Raven hydrological modeling framework.",
-            "version": "0.12.1-beta",
+            "version": "0.12.1",
             "open_source_license": "MIT license",
             "http_port": "9099",
             "_copy_without_render": [
diff --git a/Dockerfile b/Dockerfile
index 14e4e647..59030e7c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 # vim:set ft=dockerfile:
 FROM continuumio/miniconda3
 MAINTAINER https://github.com/huard/raven
-LABEL Description="Raven WPS" Vendor="Birdhouse" Version="0.12.1-beta"
+LABEL Description="Raven WPS" Vendor="Birdhouse" Version="0.12.1"
 
 # Update Debian system
 RUN apt-get update && apt-get install -y \
diff --git a/docs/source/conf.py b/docs/source/conf.py
index 79b91b33..2fc7dd17 100755
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -134,9 +134,9 @@
 # the built documents.
 #
 # The short X.Y version.
-version = "0.12.1-beta"
+version = "0.12.1"
 # The full version, including alpha/beta/rc tags.
-release = "0.12.1-beta"
+release = "0.12.1"
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/raven/__version__.py b/raven/__version__.py
index d686ac9a..0e77be34 100644
--- a/raven/__version__.py
+++ b/raven/__version__.py
@@ -6,4 +6,4 @@
 
 __author__ = """David Huard"""
 __email__ = "huard.david@ouranos.ca"
-__version__ = "0.12.1-beta"
+__version__ = "0.12.1"
diff --git a/setup.cfg b/setup.cfg
index 2562898f..6ea5cdf5 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.12.1-beta
+current_version = 0.12.1
 commit = False
 tag = False
 parse = (?P<major>\d+)\.(?P<minor>\d+).(?P<patch>\d+)(\-(?P<release>[a-z]+))?