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kmuehlbauer/CAPPI_test.ipynb

Created January 24, 2022 09:38
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CAPPI - variable number of gates
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CAPPI_test.ipynb
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"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import wradlib as wrl\n",
"import xarray as xr\n",
"from xhistogram.xarray import histogram\n",
"import warnings\n",
"warnings.filterwarnings('ignore')"
]
},
{
"cell_type": "code",
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"id": "f6d1ba76",
"metadata": {},
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"source": [
"# Open volume\n",
"#vol = wrl.io.open_cfradial1_dataset(\"9921GUA-20190705-230012-PPIVol-6fb9.nc\")\n",
"#display(vol)"
]
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"source": [
"# new loading mechanism for the data\n",
"\n",
"this will eventually be implemented in wradlib cfradial load"
]
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{
"cell_type": "code",
"execution_count": 3,
"id": "0407df67",
"metadata": {},
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time: 2520, frequency: 1, sweep: 7, range: 500, n_points: 900000)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2019-07-05T23:00:1...\n",
" azimuth (time) float32 52.46 53.45 ... 269.1 270.1\n",
" elevation (time) float32 0.4834 0.4834 ... 6.185\n",
" * frequency (frequency) float32 2.799e+09\n",
" * range (range) float32 125.0 375.0 ... 1.249e+05\n",
"Dimensions without coordinates: sweep, n_points\n",
"Data variables: (12/44)\n",
" volume_number int32 1\n",
" latitude float64 -22.99\n",
" longitude float64 -43.59\n",
" altitude float64 120.0\n",
" time_coverage_start |S25 b&#x27;2019-07-05T23:00:12Z&#x27;\n",
" time_coverage_end |S25 b&#x27;2019-07-05T23:04:29Z&#x27;\n",
" ... ...\n",
" VELH (n_points) float32 ...\n",
" VELV (n_points) float32 ...\n",
" WIDTHH (n_points) float32 ...\n",
" WIDTHV (n_points) float32 ...\n",
" CCORH (n_points) float32 ...\n",
" CCORV (n_points) float32 ...\n",
"Attributes:\n",
" Conventions: Cf/Radial instrument_parameters radar_parameters\n",
" title: PPIVol\n",
" institution: EEC\n",
" references: EEC\n",
" source: EDGE\n",
" history: original\n",
" comment: PPIVol\n",
" instrument_name: 9921GUA\n",
" site_name: 9921GUA\n",
" n_gates_vary: true</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-aabcc469-1834-4a9d-a881-ddbe01cac38f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aabcc469-1834-4a9d-a881-ddbe01cac38f' 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>: 2520</li><li><span class='xr-has-index'>frequency</span>: 1</li><li><span>sweep</span>: 7</li><li><span class='xr-has-index'>range</span>: 500</li><li><span>n_points</span>: 900000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a9dc2bfd-e822-4f5f-81c7-eb6a6686a5e4' class='xr-section-summary-in' type='checkbox' checked><label for='section-a9dc2bfd-e822-4f5f-81c7-eb6a6686a5e4' class='xr-section-summary' >Coordinates: <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 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'>2019-07-05T23:00:15 ... 2019-07-...</div><input id='attrs-483c9e75-e3b7-4dbf-90e5-856c3a4fdfc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-483c9e75-e3b7-4dbf-90e5-856c3a4fdfc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bdba11f-787b-4c1e-bc25-00253bc52319' class='xr-var-data-in' type='checkbox'><label for='data-1bdba11f-787b-4c1e-bc25-00253bc52319' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time in seconds since volume start</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-07-05T23:00:15.000000000&#x27;, &#x27;2019-07-05T23:00:16.000000000&#x27;,\n",
" &#x27;2019-07-05T23:00:16.000000000&#x27;, ..., &#x27;2019-07-05T23:04:29.000000000&#x27;,\n",
" &#x27;2019-07-05T23:04:29.000000000&#x27;, &#x27;2019-07-05T23:04:29.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>azimuth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0263a0c2-d093-4cfc-aab1-d258f2da76c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0263a0c2-d093-4cfc-aab1-d258f2da76c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b3bb661-53bc-46d1-bbdf-88135d44516b' class='xr-var-data-in' type='checkbox'><label for='data-1b3bb661-53bc-46d1-bbdf-88135d44516b' 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>standard_name :</span></dt><dd>beam_azimuth_angle</dd><dt><span>long_name :</span></dt><dd>azimuth_angle_from_true_north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_azimuth_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 52.45697 , 53.451233, 54.42627 , ..., 268.05267 , 269.05792 ,\n",
" 270.06592 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a3e8e962-c22d-4404-b329-743b33eedd82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3e8e962-c22d-4404-b329-743b33eedd82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6875c8b-6549-4421-888f-32b761b9818e' class='xr-var-data-in' type='checkbox'><label for='data-a6875c8b-6549-4421-888f-32b761b9818e' 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>standard_name :</span></dt><dd>beam_elevation_angle</dd><dt><span>long_name :</span></dt><dd>elevation_angle_from_horizontal_plane</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_elevation_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([0.483398, 0.483398, 0.483398, ..., 6.185303, 6.185303, 6.185303],\n",
" dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>frequency</span></div><div class='xr-var-dims'>(frequency)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.799e+09</div><input id='attrs-68582604-11c8-476f-86b0-c478e0b89d9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68582604-11c8-476f-86b0-c478e0b89d9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6af257a-8e41-4e40-a716-4cb4fc9af2cf' class='xr-var-data-in' type='checkbox'><label for='data-e6af257a-8e41-4e40-a716-4cb4fc9af2cf' 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>meta_group :</span></dt><dd>instrument_parameters</dd><dt><span>standard_name :</span></dt><dd>radiation_frequency</dd><dt><span>units :</span></dt><dd>s-1</dd></dl></div><div class='xr-var-data'><pre>array([2.799182e+09], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>125.0 375.0 ... 1.246e+05 1.249e+05</div><input id='attrs-8f7239b3-cd43-4ff4-964e-35f367999d50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f7239b3-cd43-4ff4-964e-35f367999d50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd20c20c-9f90-4756-958c-26f02523782a' class='xr-var-data-in' type='checkbox'><label for='data-cd20c20c-9f90-4756-958c-26f02523782a' 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>standard_name :</span></dt><dd>projection_range_coordinate</dd><dt><span>long_name :</span></dt><dd>range_to_measurement_volume</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>spacing_is_constant :</span></dt><dd>true</dd><dt><span>meters_to_center_of_first_gate :</span></dt><dd>125.0</dd><dt><span>meters_between_gates :</span></dt><dd>250.0</dd><dt><span>axis :</span></dt><dd>radial_range_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 125., 375., 625., ..., 124375., 124625., 124875.],\n",
" dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-84602908-6e05-4713-a5b3-119e861b0491' class='xr-section-summary-in' type='checkbox' ><label for='section-84602908-6e05-4713-a5b3-119e861b0491' class='xr-section-summary' >Data variables: <span>(44)</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>volume_number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3fc9fa87-4e8e-4630-825c-9107f7f76193' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fc9fa87-4e8e-4630-825c-9107f7f76193' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fe72fc1-ce03-4b47-961f-4c3fd52650a8' class='xr-var-data-in' type='checkbox'><label for='data-8fe72fc1-ce03-4b47-961f-4c3fd52650a8' 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>standard_name :</span></dt><dd>data_volume_index_number</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3519833b-46f1-4def-8b1f-a761a13538f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3519833b-46f1-4def-8b1f-a761a13538f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04bb151d-6f8d-4d7b-b59d-edcbefb3feed' class='xr-var-data-in' type='checkbox'><label for='data-04bb151d-6f8d-4d7b-b59d-edcbefb3feed' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array(-22.99325)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9624535a-d99d-4195-a40e-622947b488ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9624535a-d99d-4195-a40e-622947b488ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f6a25ff-c3d3-4a62-91fc-cb2e0f043e65' class='xr-var-data-in' type='checkbox'><label for='data-2f6a25ff-c3d3-4a62-91fc-cb2e0f043e65' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array(-43.58794)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>altitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b37dd11d-5e6d-479d-91c9-2777f18a7923' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b37dd11d-5e6d-479d-91c9-2777f18a7923' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a21ec720-8c38-4c8a-9115-b69fb684bbbd' class='xr-var-data-in' type='checkbox'><label for='data-a21ec720-8c38-4c8a-9115-b69fb684bbbd' 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>standard_name :</span></dt><dd>altitude</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array(120.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_coverage_start</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S25</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-afc9d648-df66-4662-92ee-5d13f90c75fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afc9d648-df66-4662-92ee-5d13f90c75fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a4a3c67-a7be-47b6-9b6b-1757223d0b41' class='xr-var-data-in' type='checkbox'><label for='data-9a4a3c67-a7be-47b6-9b6b-1757223d0b41' 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>standard_name :</span></dt><dd>data_volume_start_time_utc</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;2019-07-05T23:00:12Z&#x27;, dtype=&#x27;|S25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_coverage_end</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S25</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-418c54c9-9877-482a-bf0d-91389b95dde5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-418c54c9-9877-482a-bf0d-91389b95dde5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5db96d73-aa46-44a2-81dc-eb2941c9781d' class='xr-var-data-in' type='checkbox'><label for='data-5db96d73-aa46-44a2-81dc-eb2941c9781d' 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>standard_name :</span></dt><dd>data_volume_end_time_utc</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;2019-07-05T23:04:29Z&#x27;, dtype=&#x27;|S25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ray_n_gates</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a0303324-700d-409c-8e55-b06f2e882418' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a0303324-700d-409c-8e55-b06f2e882418' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9046464-ca86-4e60-9936-d566096f159a' class='xr-var-data-in' type='checkbox'><label for='data-f9046464-ca86-4e60-9936-d566096f159a' 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([500, 500, 500, ..., 300, 300, 300], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ray_start_index</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5350f62c-dd23-4320-80f9-321a87a2d446' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5350f62c-dd23-4320-80f9-321a87a2d446' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a56e5920-44af-4d2f-a52b-58db60615980' class='xr-var-data-in' type='checkbox'><label for='data-a56e5920-44af-4d2f-a52b-58db60615980' 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([ 0, 500, 1000, ..., 899100, 899400, 899700], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radar_antenna_gain_h</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-679dd60c-2503-4a41-b5c5-47c96b4f2081' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-679dd60c-2503-4a41-b5c5-47c96b4f2081' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-092749df-dc57-408e-93aa-c7a07a0f3fbe' class='xr-var-data-in' type='checkbox'><label for='data-092749df-dc57-408e-93aa-c7a07a0f3fbe' 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>meta_group :</span></dt><dd>radar_parameters</dd><dt><span>standard_name :</span></dt><dd>nominal_radar_antenna_gain_h_channel</dd><dt><span>units :</span></dt><dd>dB</dd></dl></div><div class='xr-var-data'><pre>array(45., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radar_antenna_gain_v</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f53d4d7-1736-41da-aded-de114d8b6dae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f53d4d7-1736-41da-aded-de114d8b6dae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ccd50b9-734c-4036-9627-35fbe2a4a21d' class='xr-var-data-in' type='checkbox'><label for='data-9ccd50b9-734c-4036-9627-35fbe2a4a21d' 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>meta_group :</span></dt><dd>radar_parameters</dd><dt><span>standard_name :</span></dt><dd>nominal_radar_antenna_gain_v_channel</dd><dt><span>units :</span></dt><dd>dB</dd></dl></div><div class='xr-var-data'><pre>array(45., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radar_beam_width_h</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-53455ddc-582c-4390-9d55-3fe76f476b45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53455ddc-582c-4390-9d55-3fe76f476b45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36a611a4-5c07-43c2-9d9d-b78fb248f2fb' class='xr-var-data-in' type='checkbox'><label for='data-36a611a4-5c07-43c2-9d9d-b78fb248f2fb' 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>meta_group :</span></dt><dd>radar_parameters</dd><dt><span>standard_name :</span></dt><dd>half_power_radar_beam_width_h_channel</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array(1., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radar_beam_width_v</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-83a1f2b3-d76b-4e81-8f1b-53ae0d92421a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83a1f2b3-d76b-4e81-8f1b-53ae0d92421a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ca4d081-a666-4af2-aa95-0e664801d194' class='xr-var-data-in' type='checkbox'><label for='data-9ca4d081-a666-4af2-aa95-0e664801d194' 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>meta_group :</span></dt><dd>radar_parameters</dd><dt><span>standard_name :</span></dt><dd>half_power_radar_beam_width_v_channel</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array(1., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radar_receiver_bandwidth</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3f5cd11-8ef6-4098-9e92-35dc53c1e826' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3f5cd11-8ef6-4098-9e92-35dc53c1e826' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c081cb81-73ad-44d2-bf7e-45887a3cfb5b' class='xr-var-data-in' type='checkbox'><label for='data-c081cb81-73ad-44d2-bf7e-45887a3cfb5b' 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>meta_group :</span></dt><dd>radar_parameters</dd><dt><span>standard_name :</span></dt><dd>radar_receiver_bandwidth</dd><dt><span>units :</span></dt><dd>s-1</dd></dl></div><div class='xr-var-data'><pre>array(1000000., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radar_measured_transmit_power_h</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-60d0d99f-7351-45ca-8a14-2009f2255c75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60d0d99f-7351-45ca-8a14-2009f2255c75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84b8cef9-1658-4994-b9af-a792979e4136' class='xr-var-data-in' type='checkbox'><label for='data-84b8cef9-1658-4994-b9af-a792979e4136' 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>meta_group :</span></dt><dd>radar_parameters</dd><dt><span>standard_name :</span></dt><dd>radar_transmit_power_h_channel</dd><dt><span>units :</span></dt><dd>watts</dd></dl></div><div class='xr-var-data'><pre>array([800., 800., 800., ..., 800., 800., 800.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radar_measured_transmit_power_v</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-83480e9f-8538-442e-8b3a-2343a98308f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83480e9f-8538-442e-8b3a-2343a98308f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b0a4654-678a-4b63-a6e1-6011e0f58dd8' class='xr-var-data-in' type='checkbox'><label for='data-3b0a4654-678a-4b63-a6e1-6011e0f58dd8' 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>meta_group :</span></dt><dd>radar_parameters</dd><dt><span>standard_name :</span></dt><dd>radar_transmit_power_v_channel</dd><dt><span>units :</span></dt><dd>watts</dd></dl></div><div class='xr-var-data'><pre>array([800., 800., 800., ..., 800., 800., 800.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pulse_width</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d8f6e26c-09d2-4f11-b8cb-35b3ca8e8f18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8f6e26c-09d2-4f11-b8cb-35b3ca8e8f18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaf9b017-8441-408b-964f-4cef60a5a360' class='xr-var-data-in' type='checkbox'><label for='data-aaf9b017-8441-408b-964f-4cef60a5a360' 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>meta_group :</span></dt><dd>instrument_parameters</dd><dt><span>standard_name :</span></dt><dd>transmitter_pulse_width</dd></dl></div><div class='xr-var-data'><pre>array([1000, 1000, 1000, ..., 1000, 1000, 1000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>prt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eadf47f7-7ffb-441f-aaa0-0e9ba8f00ba4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eadf47f7-7ffb-441f-aaa0-0e9ba8f00ba4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d2a40d0-3d62-4be5-9269-70023feb8ea8' class='xr-var-data-in' type='checkbox'><label for='data-2d2a40d0-3d62-4be5-9269-70023feb8ea8' 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>meta_group :</span></dt><dd>instrument_parameters</dd><dt><span>standard_name :</span></dt><dd>pulse_repetition_time</dd></dl></div><div class='xr-var-data'><pre>array([1666667, 1666667, 1666667, ..., 1666667, 1666667, 1666667],\n",
" dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>prt_ratio</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5d5729f-aa46-49e5-b79f-54941e0de9b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5d5729f-aa46-49e5-b79f-54941e0de9b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12d7f222-f2ee-417d-bd1f-2bfae88923b0' class='xr-var-data-in' type='checkbox'><label for='data-12d7f222-f2ee-417d-bd1f-2bfae88923b0' 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>meta_group :</span></dt><dd>instrument_parameters</dd><dt><span>standard_name :</span></dt><dd>multiple_pulse_repetition_frequency_ratio</dd></dl></div><div class='xr-var-data'><pre>array([0.75, 0.75, 0.75, ..., 0.75, 0.75, 0.75], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nyquist_velocity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd274e7d-0af4-4d4a-a7a7-fec8b10912ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd274e7d-0af4-4d4a-a7a7-fec8b10912ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78d21042-1133-4191-85f7-d0707434ece1' class='xr-var-data-in' type='checkbox'><label for='data-78d21042-1133-4191-85f7-d0707434ece1' 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>meta_group :</span></dt><dd>instrument_parameters</dd><dt><span>standard_name :</span></dt><dd>unambiguous_doppler_velocity</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>array([48.195004, 48.195004, 48.195004, ..., 48.195004, 48.195004, 48.195004],\n",
" dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_samples</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ebe212b-730e-486d-806b-21936031c8e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ebe212b-730e-486d-806b-21936031c8e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d08b639-75a4-4fa0-834a-91ac9cbf7666' class='xr-var-data-in' type='checkbox'><label for='data-8d08b639-75a4-4fa0-834a-91ac9cbf7666' 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>meta_group :</span></dt><dd>instrument_parameters</dd><dt><span>standard_name :</span></dt><dd>number_of_samples_used_to_compute_moments</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>prt_mode</span></div><div class='xr-var-dims'>(sweep)</div><div class='xr-var-dtype'>|S10</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f113574c-aafa-4a09-88b1-58b1e8e525ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f113574c-aafa-4a09-88b1-58b1e8e525ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cc65dc6-1904-41fa-9475-8c9efb44eff9' class='xr-var-data-in' type='checkbox'><label for='data-5cc65dc6-1904-41fa-9475-8c9efb44eff9' 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>meta_group :</span></dt><dd>instrument_parameters</dd><dt><span>standard_name :</span></dt><dd>transmit_pulse_mode</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;dual&#x27;, b&#x27;dual&#x27;, b&#x27;dual&#x27;, b&#x27;dual&#x27;, b&#x27;dual&#x27;, b&#x27;dual&#x27;, b&#x27;dual&#x27;],\n",
" dtype=&#x27;|S10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>polarization_mode</span></div><div class='xr-var-dims'>(sweep)</div><div class='xr-var-dtype'>|S10</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-960204e2-795f-47c9-ac7a-2055b43626f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-960204e2-795f-47c9-ac7a-2055b43626f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afba2449-1776-4782-8a2a-f2744f260d4e' class='xr-var-data-in' type='checkbox'><label for='data-afba2449-1776-4782-8a2a-f2744f260d4e' 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>meta_group :</span></dt><dd>instrument_parameters</dd><dt><span>standard_name :</span></dt><dd>transmit_receive_polarization_mode</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;hv_sim&#x27;, b&#x27;hv_sim&#x27;, b&#x27;hv_sim&#x27;, b&#x27;hv_sim&#x27;, b&#x27;hv_sim&#x27;, b&#x27;hv_sim&#x27;,\n",
" b&#x27;hv_sim&#x27;], dtype=&#x27;|S10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_number</span></div><div class='xr-var-dims'>(sweep)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29d36b2f-6991-4a34-b845-c53b254d85da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29d36b2f-6991-4a34-b845-c53b254d85da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9df37520-f8ac-4ccc-ab92-a6b123b8458e' class='xr-var-data-in' type='checkbox'><label for='data-9df37520-f8ac-4ccc-ab92-a6b123b8458e' 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>standard_name :</span></dt><dd>sweep_index_number_0_based</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_mode</span></div><div class='xr-var-dims'>(sweep)</div><div class='xr-var-dtype'>|S10</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3243d292-e48a-42de-8f42-335412898deb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3243d292-e48a-42de-8f42-335412898deb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1a6da08-675f-4338-b3b8-8d6b1ed004fb' class='xr-var-data-in' type='checkbox'><label for='data-d1a6da08-675f-4338-b3b8-8d6b1ed004fb' 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>standard_name :</span></dt><dd>scan_mode_for_sweep</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;ppi&#x27;, b&#x27;ppi&#x27;, b&#x27;ppi&#x27;, b&#x27;ppi&#x27;, b&#x27;ppi&#x27;, b&#x27;ppi&#x27;, b&#x27;ppi&#x27;], dtype=&#x27;|S10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fixed_angle</span></div><div class='xr-var-dims'>(sweep)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f1c4024-6257-4de2-b84c-fdda71c03fe6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f1c4024-6257-4de2-b84c-fdda71c03fe6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-729d2965-1c1c-4320-a6d9-fd3b00d759f2' class='xr-var-data-in' type='checkbox'><label for='data-729d2965-1c1c-4320-a6d9-fd3b00d759f2' 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>standard_name :</span></dt><dd>target_fixed_angle</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([0.499878, 1.499634, 2.400513, 3.35083 , 4.301147, 5.251465, 6.201782],\n",
" dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_start_ray_index</span></div><div class='xr-var-dims'>(sweep)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0d7121b0-3343-449f-af7d-51d7c7329a5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d7121b0-3343-449f-af7d-51d7c7329a5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50124dd3-2d6d-4f2f-bc88-57dd659c8d3f' class='xr-var-data-in' type='checkbox'><label for='data-50124dd3-2d6d-4f2f-bc88-57dd659c8d3f' 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>standard_name :</span></dt><dd>index_of_first_ray_in_sweep</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 360, 720, 1080, 1440, 1800, 2160], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_end_ray_index</span></div><div class='xr-var-dims'>(sweep)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-366ec519-295d-43d0-a58b-7ad8c6f557ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-366ec519-295d-43d0-a58b-7ad8c6f557ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-345b6a41-4abf-4777-a982-0dcb36361422' class='xr-var-data-in' type='checkbox'><label for='data-345b6a41-4abf-4777-a982-0dcb36361422' 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>standard_name :</span></dt><dd>index_of_last_ray_in_sweep</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([ 359, 719, 1079, 1439, 1799, 2159, 2519], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UH</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-66ed93fa-e7a8-4229-956f-0f95337fd1e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66ed93fa-e7a8-4229-956f-0f95337fd1e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6c247e6-88c7-4bdb-801a-6c1543709be6' class='xr-var-data-in' type='checkbox'><label for='data-d6c247e6-88c7-4bdb-801a-6c1543709be6' 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>unfiltered_reflectivity_factor_h</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UV</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2431ef06-09e8-45de-977f-66e76b431bfc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2431ef06-09e8-45de-977f-66e76b431bfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50d6d266-3683-447f-bbed-d2da3669baa2' class='xr-var-data-in' type='checkbox'><label for='data-50d6d266-3683-447f-bbed-d2da3669baa2' 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>unfiltered_reflectivity_factor_v</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DBZH</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b1a985dd-5440-48f8-b8da-93f7bd0e48af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1a985dd-5440-48f8-b8da-93f7bd0e48af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3afd623-4b8e-44c1-bdff-8113792f5dab' class='xr-var-data-in' type='checkbox'><label for='data-f3afd623-4b8e-44c1-bdff-8113792f5dab' 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>equivalent_reflectivity_factor_h</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DBZV</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4bb65c0-f40b-438a-bbdc-d6be443c51c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4bb65c0-f40b-438a-bbdc-d6be443c51c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c232676b-6a44-4410-a0a7-1b783ff7aaa4' class='xr-var-data-in' type='checkbox'><label for='data-c232676b-6a44-4410-a0a7-1b783ff7aaa4' 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>equivalent_reflectivity_factor_v</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ZDR</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-908f2b64-9c28-48e1-83d2-e94c521aed46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-908f2b64-9c28-48e1-83d2-e94c521aed46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d3943fb-af77-4bda-9314-f5796772b07c' class='xr-var-data-in' type='checkbox'><label for='data-0d3943fb-af77-4bda-9314-f5796772b07c' 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>log_differential_reflectivity_hv</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RHOHV</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-451f3b0b-2e97-4758-a79f-a7ef32bfd18a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-451f3b0b-2e97-4758-a79f-a7ef32bfd18a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0410c57d-c75b-45a3-bb64-afdff126feb3' class='xr-var-data-in' type='checkbox'><label for='data-0410c57d-c75b-45a3-bb64-afdff126feb3' 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>cross_correlation_ratio_hv</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PHIDP</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-520c7843-3015-48ba-8b87-ea69542bb425' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-520c7843-3015-48ba-8b87-ea69542bb425' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1358f316-932f-4899-bed5-5396a83d48c0' class='xr-var-data-in' type='checkbox'><label for='data-1358f316-932f-4899-bed5-5396a83d48c0' 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>differential_phase_hv</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NCPH</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ccaa19b4-dcfe-4645-a5ad-7133b5d1ead9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccaa19b4-dcfe-4645-a5ad-7133b5d1ead9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f478d5a5-16df-4e9d-87af-55f2c90685a1' class='xr-var-data-in' type='checkbox'><label for='data-f478d5a5-16df-4e9d-87af-55f2c90685a1' 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>normalized_coherent_power_h</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NCPV</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20c10051-f399-43a6-8d5a-60d6e5f254aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20c10051-f399-43a6-8d5a-60d6e5f254aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e144969-19e3-4d8b-9891-5a9e0a943f30' class='xr-var-data-in' type='checkbox'><label for='data-2e144969-19e3-4d8b-9891-5a9e0a943f30' 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>normalized_coherent_power_v</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SNRHC</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-63025f2e-9654-447c-9faa-8885559abd06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63025f2e-9654-447c-9faa-8885559abd06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc96345f-0d3e-4ec7-9795-8fdd863a30bd' class='xr-var-data-in' type='checkbox'><label for='data-bc96345f-0d3e-4ec7-9795-8fdd863a30bd' 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>signal_to_noise_ratio_co_polar_h</dd><dt><span>units :</span></dt><dd>dB</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SNRVC</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eb06fbe9-a584-430f-9a14-3c561fd6cd62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb06fbe9-a584-430f-9a14-3c561fd6cd62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0b68856-ff7c-4ba2-8f10-08ef4d9d82fa' class='xr-var-data-in' type='checkbox'><label for='data-f0b68856-ff7c-4ba2-8f10-08ef4d9d82fa' 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>signal_to_noise_ratio_co_polar_v</dd><dt><span>units :</span></dt><dd>dB</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VELH</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a507a06a-dcfe-40c5-a749-591c935e301c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a507a06a-dcfe-40c5-a749-591c935e301c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f2d57cb-f4f1-45b9-84e9-33f57b63fc5e' class='xr-var-data-in' type='checkbox'><label for='data-2f2d57cb-f4f1-45b9-84e9-33f57b63fc5e' 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>radial_velocity_h</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VELV</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da9ed64a-f378-4308-ae6c-583b16183f56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da9ed64a-f378-4308-ae6c-583b16183f56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9239795b-7406-4081-8ecb-cb1cfeb8e2be' class='xr-var-data-in' type='checkbox'><label for='data-9239795b-7406-4081-8ecb-cb1cfeb8e2be' 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>radial_velocity_v</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WIDTHH</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-030e5e69-2079-4848-b33b-ea1a98dadc85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-030e5e69-2079-4848-b33b-ea1a98dadc85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68a9ff40-5b39-457e-89f2-8a3bf66ccd49' class='xr-var-data-in' type='checkbox'><label for='data-68a9ff40-5b39-457e-89f2-8a3bf66ccd49' 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>doppler_spectrum_width_h</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WIDTHV</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-af0444df-480e-4a18-a298-0f98043c7819' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af0444df-480e-4a18-a298-0f98043c7819' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8990f23-4f52-4fef-a84f-cf7a716e7dd9' class='xr-var-data-in' type='checkbox'><label for='data-f8990f23-4f52-4fef-a84f-cf7a716e7dd9' 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>doppler_spectrum_width_v</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CCORH</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ee432442-cb55-4ca4-876f-12dcd4f11985' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee432442-cb55-4ca4-876f-12dcd4f11985' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5b56d39-7751-494c-a391-69ab5928f48c' class='xr-var-data-in' type='checkbox'><label for='data-e5b56d39-7751-494c-a391-69ab5928f48c' 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>clutter_correction_h</dd><dt><span>units :</span></dt><dd>dB</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CCORV</span></div><div class='xr-var-dims'>(n_points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-929c8806-7f7e-4baf-93ca-96eee1c55364' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-929c8806-7f7e-4baf-93ca-96eee1c55364' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb4340a6-75eb-416b-aa31-ead3d8efe3c7' class='xr-var-data-in' type='checkbox'><label for='data-cb4340a6-75eb-416b-aa31-ead3d8efe3c7' 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>clutter_correction_v</dd><dt><span>units :</span></dt><dd>dB</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>valid_max :</span></dt><dd>127</dd></dl></div><div class='xr-var-data'><pre>[900000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e6dd9d7-a7c2-4e3c-ba99-a30740505df8' class='xr-section-summary-in' type='checkbox' ><label for='section-6e6dd9d7-a7c2-4e3c-ba99-a30740505df8' class='xr-section-summary' >Attributes: <span>(10)</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/Radial instrument_parameters radar_parameters</dd><dt><span>title :</span></dt><dd>PPIVol</dd><dt><span>institution :</span></dt><dd>EEC</dd><dt><span>references :</span></dt><dd>EEC</dd><dt><span>source :</span></dt><dd>EDGE</dd><dt><span>history :</span></dt><dd>original</dd><dt><span>comment :</span></dt><dd>PPIVol</dd><dt><span>instrument_name :</span></dt><dd>9921GUA</dd><dt><span>site_name :</span></dt><dd>9921GUA</dd><dt><span>n_gates_vary :</span></dt><dd>true</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 2520, frequency: 1, sweep: 7, range: 500, n_points: 900000)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2019-07-05T23:00:1...\n",
" azimuth (time) float32 ...\n",
" elevation (time) float32 ...\n",
" * frequency (frequency) float32 2.799e+09\n",
" * range (range) float32 125.0 375.0 ... 1.249e+05\n",
"Dimensions without coordinates: sweep, n_points\n",
"Data variables: (12/44)\n",
" volume_number int32 ...\n",
" latitude float64 ...\n",
" longitude float64 ...\n",
" altitude float64 ...\n",
" time_coverage_start |S25 ...\n",
" time_coverage_end |S25 ...\n",
" ... ...\n",
" VELH (n_points) float32 ...\n",
" VELV (n_points) float32 ...\n",
" WIDTHH (n_points) float32 ...\n",
" WIDTHV (n_points) float32 ...\n",
" CCORH (n_points) float32 ...\n",
" CCORV (n_points) float32 ...\n",
"Attributes:\n",
" Conventions: Cf/Radial instrument_parameters radar_parameters\n",
" title: PPIVol\n",
" institution: EEC\n",
" references: EEC\n",
" source: EDGE\n",
" history: original\n",
" comment: PPIVol\n",
" instrument_name: 9921GUA\n",
" site_name: 9921GUA\n",
" n_gates_vary: true"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Just open as simple xarray.Dataset\n",
"vds = xr.open_dataset(\"9921GUA-20190705-230012-PPIVol-6fb9.nc\")\n",
"display(vds)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "eeba49c5",
"metadata": {},
"outputs": [],
"source": [
"# function which correctly extracts volumes with variable number of rays\n",
"\n",
"def assign_data_radial(root, sweep=\"sweep_1\"):\n",
" var = root.variables.keys()\n",
" remove_root = var ^ wrl.io.xarray.root_vars\n",
" remove_root &= var\n",
" root1 = root.drop_vars(remove_root).rename({\"fixed_angle\": \"sweep_fixed_angle\"})\n",
" sweep_group_name = []\n",
" for i in range(root1.dims[\"sweep\"]):\n",
" sweep_group_name.append(f\"sweep_{i + 1}\")\n",
" \n",
" remove_vars = {}\n",
" data = root.drop_vars(remove_vars)\n",
" data.attrs = {}\n",
" start_idx = data.sweep_start_ray_index.values\n",
" end_idx = data.sweep_end_ray_index.values\n",
" ray_n_gates = data.get(\"ray_n_gates\", False)\n",
" ray_start_index = data.get(\"ray_start_index\", False)\n",
" data = data.drop_vars({\"sweep_start_ray_index\", \"sweep_end_ray_index\", \"ray_n_gates\", \"ray_start_index\"})\n",
"\n",
" sweeps = []\n",
" for i, sw in enumerate(sweep_group_name):\n",
" if sweep is not None and sweep != sw:\n",
" continue\n",
" tslice = slice(start_idx[i], end_idx[i] + 1)\n",
" ds = data.isel(time=tslice, sweep=slice(i, i + 1)).squeeze(\"sweep\")\n",
" \n",
" ds.sweep_mode.load()\n",
" sweep_mode = ds.sweep_mode.item().decode()\n",
" dim0 = \"elevation\" if sweep_mode == \"rhi\" else \"azimuth\"\n",
" ds = ds.swap_dims({\"time\": dim0})\n",
" ds = ds.rename({\"time\": \"rtime\"})\n",
" \n",
" # check and extract for variable number of gates\n",
" if ray_n_gates is not False:\n",
" n_rays = end_idx[i] - start_idx[i] + 1\n",
" current_ray_n_gates = ray_n_gates.isel(time=tslice)\n",
" current_rays_sum = current_ray_n_gates.sum().values\n",
" nslice = slice(ray_start_index[start_idx[i]].values, ray_start_index[start_idx[i]].values + current_rays_sum)\n",
" rslice = slice(0, current_ray_n_gates[0].values.item())\n",
" ds = ds.isel(range=rslice)\n",
" ds = ds.isel(n_points=nslice).stack(n_points=[\"azimuth\", \"range\"])\n",
" ds = ds.unstack()\n",
" # fix elevation/time adittional range dimension in coordinate\n",
" ds = ds.assign_coords({\"elevation\": ds.elevation.isel(range=0, drop=True)})\n",
"\n",
" \n",
" ds.attrs[\"fixed_angle\"] = np.round(ds.fixed_angle.item(), decimals=1)\n",
" time = ds.rtime[0].reset_coords(drop=True)\n",
" # get and delete \"comment\" attribute for time variable\n",
" key = [key for key in time.attrs.keys() if \"comment\" in key]\n",
" for k in key:\n",
" del time.attrs[k]\n",
" coords = {\n",
" \"longitude\": root1.longitude,\n",
" \"latitude\": root1.latitude,\n",
" \"altitude\": root1.altitude,\n",
" \"azimuth\": ds.azimuth,\n",
" \"elevation\": ds.elevation,\n",
" \"sweep_mode\": sweep_mode,\n",
" \"time\": time,\n",
" }\n",
" ds = ds.assign_coords(**coords)\n",
" sweeps.append(ds)\n",
" return sweeps"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "7c322511",
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"<wradlib.RadarVolume>\n",
"Dimension(s): (sweep: 7)\n",
"Elevation(s): (0.5, 1.5, 2.4, 3.4, 4.3, 5.3, 6.2)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# create RadarVolume\n",
"vol = wrl.io.xarray.RadarVolume()\n",
"vol.extend(assign_data_radial(vds, None))\n",
"display(vol)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "89b18268",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.QuadMesh at 0x7fc4aaf11c10>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# please check, if this representation is correct!!!\n",
"# if not, we need to look into the stack/unstack process above\n",
"\n",
"vol[0].pipe(wrl.georef.georeference_dataset).UH.plot(x=\"x\", y=\"y\")"
]
},
{
"cell_type": "markdown",
"id": "4c24ee1d",
"metadata": {},
"source": [
"# Your normal processing starts here"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "61013cc6-2572-4921-8461-132ea43bee8e",
"metadata": {},
"outputs": [],
"source": [
"# Iterate over sweeps and process\n",
"swp_list = []\n",
"for v in vol:\n",
"# georeference and stack dimensions\n",
" swp = v.pipe(wrl.georef.georeference_dataset).stack(points=[\"azimuth\", \"range\"])\n",
" swp_list.append(swp)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "9a82958e-bb8e-4728-a929-29f0861b650e",
"metadata": {},
"outputs": [],
"source": [
"# concat sweeps to volume\n",
"vol0 = xr.concat(swp_list, dim=\"points\")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "993fe5b4-f919-42fb-b30e-c4ad8659b900",
"metadata": {},
"outputs": [],
"source": [
"# Create XYZ Coordinate DataArray\n",
"xyz = xr.concat([vol0.x, vol0.y, vol0.z], dim=\"xyz\").transpose()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "3f2513d5-6263-4a4b-a44b-75fb1419e0e5",
"metadata": {},
"outputs": [],
"source": [
"# Create Target 3D Grid\n",
"trgx = np.linspace(xyz[:, 0].min(),xyz[:, 0].max(), 100)\n",
"trgy = np.linspace(xyz[:, 1].min(),xyz[:, 1].max(), 100)\n",
"trgz = np.linspace(0, 20000, 200)\n",
"yy, hh, xx = np.meshgrid(trgy,trgz,trgx)\n",
"trgxyz = np.stack([xx.flatten(), yy.flatten(), hh.flatten()]).T"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "f1ac4678-0610-4306-9ef3-3ff1cb8b3efa",
"metadata": {},
"outputs": [],
"source": [
"# Create Gridder/Interpolator\n",
"trgshape=xx.shape\n",
"gridder = wrl.vpr.CAPPI(polcoords=xyz,\n",
" gridcoords=trgxyz,\n",
" gridshape=trgshape,\n",
" maxrange=200000,\n",
" minelev=0,\n",
" maxelev=90,\n",
" ipclass=wrl.ipol.Nearest)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "6193b1d1-64c0-4f57-b06b-36146a8ab2ec",
"metadata": {},
"outputs": [],
"source": [
"# Interpolate Data into 3D Grid\n",
"crtd_ref = vol0.UH#.where(((vol0.RHOHV < 1.0) & ((vol0.PHIDP > 150) |\n",
"#(vol0.PHIDP < -100))))\n",
"vol_zh = np.ma.masked_invalid(gridder(crtd_ref.values).reshape(trgshape))\n",
"\n",
"trgx = trgxyz[:, 0].reshape(trgshape)[0, 0, :]\n",
"trgy = trgxyz[:, 1].reshape(trgshape)[0, :, 0]\n",
"trgz = trgxyz[:, 2].reshape(trgshape)[:, 0, 0]\n",
"yy, hh, xx = np.meshgrid(trgy,trgz,trgx)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "29f35483-de8e-4228-a0a5-b57e8d90ce82",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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Q6gFtDs1cJiIi0gLNztENcTVzC8aYzxhjtjT5/CKyUgEuFYKLgQE3XXFAG1IiTpctRUREWqvZPbrGWvsC8MvGmFuAB4GtTb6GyPqUpDCM44LOEZYWfIY1npcLyrYHS7zOsj0XP8D9kEpdEBGR1mp2oPsHyRNr7V3GmKPAm5t8DZH1Zw4X+00A0VmY6km3BXWOC8uW1SYwOxlvT87ty/dU7i8iIrJONDXQtdb+YdnrQ7iZ0kSkE5Kc37CTjRAREekMlRcTkSXrYx6AfNyFHLmkXyL6O9YmERGRcgp0RZppsCfNeQ2aeN4kJSHA9c4mS6jMzT2JlwbRxDY0IN87Wwp6RUREOk2BrshaEQFPx89DshNIKLYUERGpoCmARURERGRdUqArIpVCKM71ES24nNuIfOkhIiKyVih1QURSEWnO76xhZnw7MwEQWLpy8QC0rf3ke2dLA9Hy7U4EFhERaZB6dEVERERkXVKgKyIpZSaIiMg6okBXZCPrx1VtyNHGqYBFRETaQzm6Iu0UeM9D73kOGImfT/RkA1ARERFZFgW6Iu0QLLIu9NYFZdtDqk8QUb4+Wee/FhER2cAU6Iq0QkCaDtDo/omwyvawxraQbLA7V+ccIiIiG4xydEWkqfJbIwhsp5shIiKiHl2RNSuIHztJe4SPAuO4Ht3Zagf1uEVSXSE5R5N15eYpBjnXq50HldoVEZFOWNWBrjFmHPcVeQ54wVp7oLMtElllapUDC3DB7h5gB26gWxJwhsBJXEDs7y8iIrLOrOpAN/b91tpvdroRIiIiIrK2KEdXRERERNal1R7oWuBvjDGHjDFv7HRjRDouqPG8XNjSVmREmk5NRERWqdWeunDQWjtpjNkGfM4Y81Vr7Rf8HeIA+I0AL3nJSzrRRpHUVLwM6dxkD0mJsVmy5ceaGI9GC/1E9JPvnc2sExERWU1WdY+utXYyXp4CPg18d5V97rTWHrDWHnjxi1/c7iZKE5l3usfadjoNMOcW2VVERERaatX26BpjckCXtTaKn/8wsObDIMkyb42f6O736hEAw9B1+RxDBddFXd5b6/fkioiIrFarNtAFCsCnjTHg2vmn1tq/7myTpOmu8J6HnWqElASUgtxLC09QYBqAqDfPPH3KxxURkTVl1Qa61tqngJd1uh3SJmGnGyAiIiLrzaoNdGWDCjvdgHUuTzpQbiRe18pBc3PEs6KdbuFFREREqlOgK7KRJQHvzng5DF070txcERGRtUyBrshqFJKdohdc/mzy6FTpMhERkTVEga5IOwQ11oeLHDcCXE5aC7eRY0RERARQoCsdYp6yEJpsALcu5GEYOAhcg3sOaW3d5BGVHRYCJ4FjQHQW6IHLqJwJLWRtvWc7gEFg6krgyXjlaeC5jjVJREQ2DgW60ja/wB0AnGIb37VriHn6eHzHJRRP5mCCNAhcy/I99afm9YWkE0uM496D6CwuCh5ofttaLKmtW6q5G5AulfIrIiIdoEBX2m4z8+TjLs2hwhSTDFIM+mDcdLhlTRLQeLAbeMuQuKf3W27dxIBbv6NZDWuPfO8sbIUZJRKLiEiHKdAVWavGSacZDr3HLGlqROjtX54u0XYDpGXGLuhkQ0REZINQoCvSbCEuCM2XrQvb3xTAtSWkspc5RNUbRERkXVOgKx2X3xoRAcVgHURde3CpBiPx6/GOtURERGTDU6Ara565O/va3tTm69+IKwF2BXBrvDL0dghpXm9uUHbeHGn6QrI9qPJcRERkA1KgKy1jPgpcbRnedYJ9HGZbu67rB75h+rBvb8G1Xkrae+sbLnt+DHiabF7tUvmpEDvjZRA/4kIHTMTXeBpXrqxFksoKMxOFuEycZcvwdOsuSPz/KSQdtBeC/WBLLykiImucAl3pqALT0AsReQji2rprSegtQ2r3oAbe9moBaIgbRLYUta6VKO/tbYEtw9NEuTxDhalSJY0+5pmnj5nh7a6XO8RVkCgbDGcM8L2kNYf3uGB5qHeKUcbYzDwAeWbJE/Frr4M8EQWm6SeijzN8EleuLiLPNAUmGeQMfe7/U2yaAscf3Qd/CfwZcPw01jZWvs28NH1uv7Kcd0hERDpJga60jH0dgAFG40elV/MRFyAVYHJ6kGKrRkcFcU9vv3tu9y9+iLkxfjKO6z2cjIMz36DbVioB1k91AZWlxEJcIBqW73whkC+1dcWSt9S//k6q90TX0cc8fXHwOdo7Rp7IBaOFyn3P0Af74XiwF4J4YpDHBuDYQFwr+FHXQx3glsPQlZsn3ztbukatNpTrL4ugI/JsZr4i4G2UGfJeBEs+XEREVhEFutJxSTBSnOtbeq/mUgVAYOmedgFT8WTOpRWM43oc86QB4GvIBDrmbuAvgCPAUdKe2cuJeySha4frQi3O9bltoUkD2YDKoNaP60Mg6lnOT1WbH+QGpD/fMDBi0zYm168hT7SsoLEkAH4xue55dOX2AHPZ96lF+pina8ccxZGc+7cKB6qnnITUfg/K9y1jbgb7yRU1U0REWkCBrqx9e6oEbOUBc0DcQ5reHu+LeyPz+6PSbfdJhtwt8OlBF4T5gSrxeQPcLflk+UrLZbuOcBUPMcQkEfnSLfTM+U7m3DFHSHszk/YmbSzNIBbPsJaLrzFCWrasnoBszy3xtfbigszA1j8+hCI5JuZ2u7SE3nx8irTXtF6Pa2Jz3Ps7vOsEE+yGYVP6I6MT9hWOMP+6PqLXuZ9n4qndcMykf7RUS/EISAcZ7o2nrfaFxuVEH0E9vyIiq5QCXZGlGIYt1z9TyiPdzQkKTLObEwwxSYFpxhjlCHsZY7SUOzpUmCLa2k+0Iw9Xkp32eJx0BrQRYHzALZMgaw9p/vIw6XHlAui6fI6hm6YoME2eKBOgJpKe2fIe2mTfiDzzy7ztv27sBb7HLbuurIyCSz3RIiKyqinQlVXHz6VNegDtruq3ts2jtLU3rWvHHPneWQpMl6YyTh59pcFTEYNMMk0hE2zmeyMoTJV6fItBXxq8lhuxdOXmS4O8/F5UPyCdpkC00O+qH+BqEvttakT5fv7PM0/zA7qu3OI9wm1R+j+G+8PCj+tHiHvA29skERFpLgW6sizmnfGTp3EDteL8RHMzmdvn9t1Nut6jZFMS4iCla8ecm3Di2TxF+ipzPQNvGdCw/NaImaTXLqBm7mZEnj7mmWZbJv1hiqFSuNnnBcSJ0cJYqed0cmHQtb9aqkQHJW1ebs9unoh5+tgyPM1MuL1jaQuJAtOMMubativi8dwlbvBjgCb2EBFZpxToSlOYG4HXwPAnx3gVn+JVfIrdjPFFRnmAa3iIq/jCwjUAjPa62/zbOLX8m+MBEFjyWyOGeqcoFI6QJ2Ibp0p5sifYzWH2uXzMcVfrdXiXSzUYYrLB69jS9ZIe1iQtIDFPH7PkGWM3ALOlW/+1SjBke1GHeqeICrMN98D655inD3qBYcj3zpZ6Ypd6rvVsiMm49z37HkeFPBNzu2Fi8YFwyR9TFcZxf+x9sWnNFRGRJlKgK01Vfht/N2Psff4w/4b30TdXxDwMfBl4GM5+2R3TczNwC4wdHOZdu27lXq5zwekSbS67vb+ZeVendxdM5gZLaQD1gkA/zSC/Kx3RlkyQkBzvB06NDM5azHID0+Ta9YLqWtdarLe2fL9a++ZrlMpIynsN9U65PONk/97q+y/pD5BWG3b5zpcWnijV9D1a+E6Of34ffAz4K2DqdNlBjdXmFRGR9lGgK533NPA3MMoE7z3wFo5s2scDu67hMHt5iIMu6A0sYErpCvsKR7iRz3Id97L3+cNMbRpijFFOsJvpaoVdVygJzsqD2j7m2Y2b+W30axMwCfYyuHfgFQDLruXaLtUCbH+iBn/dYgHvUq/rp3RsbsIfCyIiIuUU6Mqac2nhCfZyhCs4yt7nD5N7pMjo0AT9F6VBW0uCXa+HMzHIpKu+cHoCvgp8HcxzcP3QfVzzHV/giU2XMk2BabYxlZQai0uPrVR5jm9EnqGCC74j8kpfaMQqyokWEZHmU6Arq04SwJ1g1PXmPmi8OrgwuTDIkd69RPRzdNMV9B1MewNbUSVgJfJEmaA7Il/q5b2GB/hxPs3e08d5aOC7uJfr+Cw3Vhy/jWlg9fcON6I8j7gdvbkVtZHHjRvUGHqPZLIQERFZVxToiixBEphdyhMUmKbAKQaZxMwAM7WP8weoXcVDvIpPMXrPBPwf4GE4eOUhDt5yiNcd/Cif4lU8xFVVB1CBXwe3n1MU6OudZ7pQKLXPX9ZTK2hO1p8qC9CTcyZ5tIsFqJuZZzdjnKGPQu/0ou1Zq6xVbq6IyGqlQFdkCVwvZJq7et3p+zDvhdO/BR94IbvvD1LkypsnGP2JCdh5HwzB3FAXucki3AV8uuzkz5Vfa7bU67mbMb6To1zy/OPkHim6vOaY/WGXE/wQV1UNXt0Z3GC1JGWikZ5hf5/lVIQYYjKT0zwfzxR3gqUPNEwC7aTHvr9K8N9Qb35oKmfNi7xl/CPba8FNS7cvfsSujR+ABp+JiKx+CnRFmug268qR3W4Mfwv87SeBT6bbBygygotpx/wDjwIfcgPybn3Je+CW98At8NcXuQC2qrgH2dwF13Mf13MfXAnPHNzCEfZxhL0Vk1aACwq3carmzxDRnwmIk2O3MZ0JvvuYZ5BJ+jjDPJtLW+bpW7QSxTSFzD5J7/CpuJ98cmGQmWPbXVpBMhPc08BO0prISaGJWVyZr2SfEDhJeuwwbgKIXFzveX/dpomIyDqyqgNdY8z1wHuBbuBD1tp3dbhJErNvz742N1bfb6NKAl7f7cbVa320xn63G8MYcPvXYf87gXfCc9zH5dwHwALw/HmQuwwYwgV9vqH6bWokraG8pzd5nfRk54koMF0KcJNpj0sD4xhins1MLdaYRZRq1iZB7NPAY94OAW7KZEgD23FgCuA08K3SrvYrF6+oLSIisnat2kDXGNMN3AH8EK5f5h+NMXdba7/S2ZZJNfazybPkVu/t6cZN3vKG+AH0VDlPDrg+frwTYFf88HRP56lWVGE+HqyV3Ko/RcGtW+inONfH5PQg+a390JvtqfQlAVurB31VC4T93uBFzcA992aDZgDeCbddN8N1f3ofDw3U6Aku4/esJoPEJhniDH1eb+4pV13CL6X2VeC4awtDwEuAoUPYnTA9sKVUZWKabRWTaETkmVwYLJVtKzBdqiAxM1FwA8YgHSgWkr4O4ucnvXXjVA1yRURkY1u1gS7w3cCYtfYpAGPMnwE/BijQ3eDOFXLAwfjRgF7iYDkXP7Yv6Xrm8/GTgNJt76RnczUo7xVOTDLEKbaxmXmGXBRYVXluaxLkJ+kEuznBXg7HVYrH2P61GZgEvo4LcmeALcAFYHfCiYFhDrOPU2zL/MHg8nNHOfTUVa6SxgMwE/fETkyMQpRMwPAC5HtcasIscQ7tWdJ5ei+sGABmLmjgjRIRkQ3H2Co9S6uBMeZVwPXW2l+IX78WuNJa+yu1jjlw4IB95JFH2tVEERGRpjDGHLLWHuh0O0TWm9Xco1vt/m1FVG6MeSPwxuR1LpdrZZua4oUXXuDcuXNs2rRp8Z2lYXpfW0fvbWvofW2dtfbeXnjhhd914MCB1dnzJKveoUOHvmmtffFSj7vEGDu3zGtOwr3W2uuXeXjbrOZAd4LscJthiAt4eqy1dwJ3wtrp0b3rrrv4zd/8Tb72ta91uinrit7X1tF72xp6X1tnrb23Bw4cYC18f8nqZIz5f8s5bg745WVe8z/Ci5Z5aFt1dboBdfwjcLEx5iJjTC/wGuDuDrdJRERERNaIVduja619wRjzK8C9uPJif2StfWyRw0REREREgFUc6AJYaz8LfHbRHdegl7/85Z1uwrqk97V19N62ht7X1tF7KyKrOXVhXXvFK17R6SasS3pfW0fvbWvofW0dvbcisqp7dEVERESkNc4DBhbda21Tj66IiIiIrEsKdEVERERkXVKgKyIiIiLrkgJdEREREVmXFOiKiIiIyLqkqgsiIiIiG5CqLoiIiIiIrFEKdEVERERkXVKgKyIiIiJNZ4wZN8YcNcYcMcY84q3/N8aYx40xjxlj/nsr26AcXRERERFple+31n4zeWGM+X7gx4DvtNY+b4zZ1sqLq0dXRERERNrll4B3WWufB7DWnmrlxRToioiIiEgrWOBvjDGHjDFvjNddAlxjjHnYGHO/MeZftrIBSl0QERER2YC6gAuWf/iL/Lxb4E5r7Z1l+xy01k7G6QmfM8Z8FRd7bgW+B/iXwCeMMbustXb5TalNga6IiIiILNU3rbUH6u1grZ2Ml6eMMZ8GvhuYAP5PHNj+gzGmCLwI+EYrGqnUBRERERFpKmNMzhiTT54DPwwcA/4vcG28/hKgF/hmjdOsmHp0RURERKTZCsCnjTHg4s0/tdb+tTGmF/gjY8wxYAF4favSFpILi4iIiIg0jbX2KeBlVdYvAD/TrnYodUFERERE1iX16IqIiIhsQOcBA51uRIupR1dERERE1iUFuiIiIiKyLinQFREREZF1SYGuiIiIiKxLCnRFREREZF1S1QURERGRDUhVF0RERERE1igFuiIiIiKyLinQFREREZF1SYGuiIiIiKxLCnRFREREZF1S1QURERGRDagbuHC5keALzWxJ66hHV0RERETWpbYFusaYPzLGnDLGHPPWDRhjPmeMeTJebvW2/boxZswY87gx5rp2tVNERERE1od29ujeBVxftu5W4O+stRcDfxe/xhjzUuA1wOXxMb9vjOluX1NFREREZK1rW6Brrf0CcLps9Y8BH4mffwT4V976P7PWPm+t/RowBnx3O9opIiIiIutDpwejFay1UwDW2iljzLZ4/Q7gy95+E/G6ur71rW9x1113Nb2RzfbMM88ArIm2riV6X1tH721r6H1tHb23IgKdD3RrMVXW2ao7GvNG4I0AF154YSvbJCIi0jT33Xcf999/PwDFYrHDrRFZnzod6E4bYwbj3txB4FS8fgLY6e03DExWO4G19k7gToADBw7YW265pYXNbY6kh2EttHUt0fvaOnpvW0Pva+ushffWb9uBAwc61xDZsLq7IZ9b5sEzTW1Ky3S6vNjdwOvj568H/sJb/xpjzCZjzEXAxcA/dKB9IiIiIrJGta1H1xjzMeAVwIuMMRPAO4B3AZ8wxvw88HXgZgBr7WPGmE8AX8GVJH6ztfZcu9oqIiIiImtf2wJda+1P19j0AzX2vx24vXUtEhEREZH1rNOpCyIiIiIiLaFAV0RERETWpU5XXRARERGRDjDd0LNlmQer6oKIiIiISOco0BURERGRdUmBroiIiIisSwp0RURERGRdUqArIiIiIuuSqi6IiIiIbETdwHKrLqwR6tEVERERkXVJga6IiIiIrEsKdEVERESk6Ywx3caYw8aYv4xfv8wY8yVjzFFjzGeMMRe0ug0KdEVERESkFX4VOO69/hBwq7X2CuDTwFtb3QAFuiIiIiLSVMaYYeBHcMFt4lLgC/HzzwE/2ep2qOqCiIiIyEbUBeSWffSLjDGPeK/vtNbe6b1+D/AfgLy37hhwE/AXwM3AzmVfvUEKdEVERERkqb5prT1QbYMx5pXAKWvtIWPMK7xNPwe8zxjzduBuYKHVjVSgKyIiIiLNdBC4yRhzI3A+cIEx5n9ba38G+GEAY8wluNSGllKOroiIiIg0jbX21621w9baEeA1wOettT9jjNkGYIzpAv4j8AetbosCXRERERFph582xjwBfBWYBP641RdU6oKIiIiItIS19j7gvvj5e4H3tvP66tEVERERkXVJPboiIiIiG1E3sKXTjWgt9eiKiIiIyLqkQFdERERE1iUFuiIiIiKyLinQFREREZF1SYGuiIiIiKxLqrogIiIishF1Axd0uhGtpR5dEREREVmXFOiKiIiIyLqkQFdERERE1iUFuiIiIiKyLinQFREREZF1SVUXRERERDaibmBLpxvRWurRFREREZF1SYGuiIiIiKxLCnRFREREZF1SoCsiIiIi65ICXRERERFZl1R1QURERGQj6gJynW5Ea6lHV0RERETWJQW6IiIiIrIuKdAVERERkXVJga6IiIiIrEsKdEVERERkXVKgKyIiIiLrksqLiYiIiGxE3cCWTjeitdSjKyIiIiLrkgJdEREREVmXFOiKiIiIyLqkQFdERERE1iUFuiIiIiKyLqnqgoiIiMhGpKoLIiIiIiJrkwJdEREREVmXFOiKiIiISNMZY7qNMYeNMX8Zv363Mearxph/NsZ82hgTtLoNCnRFREREpBV+FTjuvf4csMda+53AE8Cvt7oBCnRFREREpKmMMcPAjwAfStZZa//GWvtC/PLLwHCr26GqCyIiIiIbUReQW/bRLzLGPOK9vtNae6f3+j3AfwDyNY7/OeDjy756gxToioiIiMhSfdNae6DaBmPMK4FT1tpDxphXVNl+G/AC8CctbSEKdEVERESkuQ4CNxljbgTOBy4wxvxva+3PGGNeD7wS+AFrrW11Q5SjKyIiIiJNY639dWvtsLV2BHgN8Pk4yL0eeBtwk7V2vh1tUaArIiIiIu3wflzO7ueMMUeMMX/Q6gsqdUFEREREWsJaex9wX/x8tN3XV6ArIiIishF1A1s63YjWUuqCiIiIiKxLCnRFREREZF1SoCsiIiIi65ICXRERERFZlxToioiIiMi6pEBXRERERNYllRcTERER2YhUXkxEREREZG1Sj66sauYp656MG5gFQrCv61BbzGlgAAaBEeBysB/sTFtEZP0yH62y8mpbscruMq1vjMgap0BXVr8w+2Fu3ocLeN/eviaYlwKDA6UAlyBe/872tkNE1jfzUWC4cv2W4enS85mJgtv3KatgV2QRCnRlVbO7TCmwJYqXO90281aw7259G8wbgIPxtUeAvLcxcIG3fUvr2yEiG8Ae6NoxV7E63ztbeh7l8hTn+trZKpE1S4GurHr2LWBuxAWaIS7Y3IELMt/Q2vQBczdwTfwirLJDELfjbrA3ta4dIrIxbNnzTCaoTRRIe3Sjrf3MKNAVaYgCXVkT7GfBGICzMNHjbu3FKQTmZrCfbP41u6fn6LqStOckNGmw638P9buFeRTs/ua3Q0Q2jn29RxbdZ6h3ihkKrW+MrH/dwAWdbkRrrYpA1xgzjrsxfQ54wVp7wBgzAHwc1383DvyUtfbZTrVROs9aMOZvIRqF4xe7lZcDIy5X9pZNwHnws4/iAtIkGA1xgfGIZXjXCQpMM8Qkkwxx6Kmr4EEDD8T7XQPsgS1XP8NQYZZooR+2RkTP5iEHxaCvImcYSHN2FeyKyArkidjMfN19Ii9/yjzqbXgQOKpBsiK+VRHoxr7fWvtN7/WtwN9Za99ljLk1fv22zjRNVgtrb3A9u5dRCnK5Ahdofh3oPceWPc8QPZun+FguDXZngdAQLfST742IyDNPX9pLezLeL3T7Rs/mYatbFT3rJ+WWmcX16IauDQpyRWSl8lSmLmS3R9X/4B4Bnm5Jk0TWrNUU6Jb7MeAV8fOPAPexSKD7rW99i7vuuquljWqGZ555BmBNtHU1uuWXgfOBXPx4DpiH7bNTdFHktX/6cQBmF/oh6oYXgCngKeAfYNP5Z+jmHLvt17ly5p/gNLz8p9y5738KOA5MAl3nqjdgIT6nv7kbXh7AXf/c9B93VdD/2dbQ+9o66/m9zRPV3rizfe0QWQtWS6Brgb8xxljgD621dwIFa+0UgLV2yhizrdqBxpg3Am8EuPDCC9vVXukkP8jNQXdugfPMObo5h8HSzyzn6KbY2818rh/mSAPTF+D5hV429S5w7mw3PA8v35We+uW74P6TwLeB87szwW53zzl3jO+F+Dj91xORJbrvvvu4//77ASgWi4BLS9jNibrHRcnAgLDKxqB57RNZD1ZLoHvQWjsZB7OfM8Z8tdED46D4ToADBw7YW265pUVNbJ6kh2EttHU1+tk3AP8CV4bn8jkuLTxBgWn675qlhwV6bpnn2+T5CqMcXtjLzLHtLndtBJdmMGLpys1TPJmrmmpwC3G1hWEgcPsC5Le6XpSZicKqmMCinfR/tjX0vrbOWnhv/bYdOHAAgGkK9XtsgTx5CGzd8QIi4qyKQNdaOxkvTxljPg18NzBtjBmMe3MHgVMdbaSsHiGlXNriXB+TC4PQC+f4Cl108w2GANczUsqvHcEFuYF7WZzrq5tPa28C83kAQ5G+UrALuCB5pM8Fu8Mq2i4izTPKGH01BqPN4yrADDHJ8K4TTOYGS9uKH8+pnrcsXTelykHrVccDXWNMDuiy1kbx8x8G3gncDbweeFe8/IvOtVJWE/tJMFfhBl2MG2ZGtjMzvJ0rFx5lU+8CR/hO5unj+FN70x6PJMgN3DSaDQWmE/EyqNzUlZunGOTo2uF6lA8wzyMcXOFPJiIb3W5O1OzRTQJdcAFxoZDW1j30Hw+CAl2RCh0PdIEC8GnjiqSeB/yptfavjTH/CHzCGPPzuPH0N3ewjbLK2IfADOGqJVyOG4BxtpvnN212JcMge1svYGlBLriidsPxeXLp6nxcbqxrxxz5rREFptnNCf4tD/B73LqyH0xENrRRxuivEeiWqsUA25hmmzeJxKHon4FfakcTRdaUjge61tqngJdVWf8t4Afa3yJZK+xkPInEOC41YS+wCVcXd5hsT+xSg1yAo/E59uBmYqtiqHeKvEuSYC+H+SQ3cTN3L+XHEBEp2VYnSy9PVAp0L+WJzDZrb29pu0TWqo4HuiIr4SaROA3HB1yv7vnAMVzguzNexr2yS6lxa4biY+NgtzjSB1trDxBZbPCIiIiItJ8CXVnzrB0AICmX+cfvXdn5zEuJUx1wqRGfAULDzJ7tFfs+ziVQgM3MM8kQH+LNK7u4iGxoD3FVzW2TDPJxXt/G1oisfQp0RTzmKioHn82RThFMdnuRHJNbB4l68zzNaOsbKCLr2gNcU3PbNIU2tkRkfVCgKxIzN1K7BuUc8OX4eS6738zsdsKbWtgwEdkwDj1ap3pLCFzbrpbIhtAFXNDpRrSWAl3ZkMyNZCopQJXXAS51IcQNeJsC8sSTTsTbQ1S7UkSa52OLbFegK7IkCnRlwzFvwFVRCOvsNIILainbL8IFuqF72K80u3UisqHt7HQDRNYXBbqyoZi34r5IAlywerTKTiPAFaTpCSGlmdh8CnJFpOlGOt0AkfVFga5sGJkgN8AFrxEuLSERxPvsIa69a9w+c2R6dhXkikhL7LGL7KDpxkWWQoGubAjmnaS9tMl0wMPeDuPxuiuAPbBlzzMAzITb3bowfhwD+1xbmiwiG9CW4emq6/O97paSuXs0WwEmeR4Cv+pqi4tISoGubAwB2SA3nimNPfEsascozYKWBLnuOAuBcb28J4Hr2tZiEdmARntP1N0+eeUg4KYiB5g5tj0NdvPVjxGpqRvslk43orUU6MqGYN8C5m5KQW5Xbt5tyEEx6IPA0LVjrvTlkZEExzvc0rxPlRZEpDWGmKy6fjPxZ1Yh3W8z89y75zoX7EL2LpWIAAp0ZQOxN4F5ygW5mYB2a1TzC6IrN08xyKW5uwEwAuZRljSlsIhII7Zxqur6JADOx6Ni93EYgBO9oxzekadIrnYdcJE2M8acD3wB2ISLNT9lrX2HMeY/A28AvhHv+hvW2s+2si0KdGVDsbsMwUJEvneWPBF9cS9JHhf4RuSZp4+IPNFCf3pgQCnIZRi6dsyxkynNhiYiTVWrR3c3Y5nld3KUPBHTFJguFJhkkOKO8mLgIh3zPHCttXbWGNMDPGiMuSfe9nvW2t9pV0MU6MqGE/Zu56UczgS5SaCb0QtsdUUXislsEnGQO1SYosA0r+aLXMoT7GYs88VzhL2MMcoJdjPGKJMLg8xMFOCYcfl0ARW9yOohFpHkc2kxyWdWH/Px80GXWhUXZdCgNOkka60lLcrZEz868r9Sga5sSF9hHwf4YkP75rdGpWDXD3KTL5rHuYQ+5unjDENMMhYHt+BuQ0bk6eudZ3rXLJO5QYonc+lgOI951CjYFZGqZstGmk3HybrTFOhj3n2uiKwixphu4BAwCtxhrX3YGHMD8CvGmNcBjwD/3lr7bCvboUBXNqxHOLjkYHeoMFXqAfZ7gQ+zF4BTbCt9AYHrddnNCU6xzR1TiJjcOljaHj2bfnkV6cN83mA1xaeIlInKAt1JhuLloPssmuhEq2StK3bDfK5ruUe/yBjziLfiTmvtnckLa+05YK8xJgA+bYzZA3wA+C+43t3/AvwP4OeW2YCGKNCVDe0RDvL9/HXVbZkcXdIgN+nN3Vx2i3GM0YoUCD8ojsi743unmabgXhdmS9eKgGKQw3weBbsikjFPX+b1CXaXnueJshPfiLTHN621BxbbyVobGmPuA673c3ONMR8E/rKF7QMU6Irw91zPTXyy6rakSDuQGbxWTUQ/Ef0MMVV3/yRA7mO+NPCtJJmNTUTEk/TgJirGFYTta4vIYowxLwbOxkHuZuAHgd82xgxaa6fi3X4cV8W+pRToigB3c3PFOjNhiXJpEJrf2k++d5ZpCpkc3SRQnaePPuY5RYFtTDMUb/s9bl28Ab3gZTyIyAZ0E59kd9kHQfI5c4ptQPqHcoS743SGPhcEP50eo4FosgoMAh+J83S7gE9Ya//SGPO/jDF7cakL48CbWt0QBboiNdhdBnN3OsBjpj/HDEAAE8HudNIJT36rK10WkecEozzCwba1V0TWtjFGSwNZwd31ScqNJesLZKcInqbA5MKgt+YsboC7SOdYa/8Z2Fdl/Wvb3RYFuiJ12JvAvDV+4Y8FCUxaoD2I1/XDTJBjJrBM5gY5V9AoaBFp3PHPZ+OCrsvnmC4UXA5/MnC17M7P5MIgMw/GM6OFrW+jyFqjQFdkEfbdYK6i+qxDOdwkEkkQPAJgOPe6tRnkGnM71t7W6WaIbEwfy74sXpNjYk/cwxu6hV+1BXDT/yZZjo+Bq/w90Lo2yrpyznQTbepffMeqZprallZRoCvSAPtQp1vQLgMY8wGs/aVON0Rk4/mrstchFb204bXbsyv2x48SBbkiPgW6IuIZAcCYj2PtqzvbFJGNZrbs9UngaCcaIrJ+KNAVEU8yEOY0xtyDtTd0tDUiG9p49uXGubMk0jwKdEXEM4LL8bsQ+BbGPIy1V3a2SSIbRVTldXkvr4gsiQJdEfH04EbWJcGuiLRNvsq6SOXCRFZCga6IVJEEuyLSNsNV1h3Hld4XkWVRoCsiZXpwRedBvboibTRSZd1ET2m9uUp5utJcRbqYrXoroREqLyYia5p6dUXaakeVdcM11otIQxToinSYeSnpDGs74mWIKy10BJgCeBJrL+5A60SkbYIq60ay680bvG2PqYdXZDFdnW6AyEZmLiBbEL7a8zy0I4XAmJZfQkREpK3UoyvSIeaC+MksaVCbIzsbUhBvX3YOVYNtUZAr0nnhEvcPWtAGkXVGga5IB6SBZVw6KIxfBlV27gei1pUXqh3kRsC30JSiIm0S1liXa28zRNYTBboibWbMWe9VBORhKg5kwxoHtahDVz25IqvIXKcbIBvNObqJWnzHsNOUoyvSUfl0EdTfs5TqUG2beRJjHl7Slc0FuPqcg8BlwA3Aq+LXXoF6Y+5Z0nlFZJm+x3v45qo/7Gfb2zyRtUg9uiJtZm1Ptic1j0tPCGgo2LXPla0zp73njU3Zay7AlS1KrrkDuAI3wnsE+BNgKvkr/zT33/8PvPzl/2LR84rICrzSe34UF9CGnWmKyHqhQFekA6yNg83+eMWItzFH3VuYxrjj3fOzVbbXD3ZLQe5IfK0R4Bpgj2XL8DQz/dvdjn/SEwe7ytEVaYfL9h8uPT/OPvf7GZAdoCoiS6JAV6RD7HNeDV3I9uYmg0/C6sdmc2u/BZyOHwPx9urBbibI3QHsBK6GLVc/w77eI2xjmqPXfqf7kg2Bv+qBqQvxUxlEpDWu4J9Lz4//6D74DGmgO9WZNomsdQp0RWow5jTWtrY3037FTetZU1D2epbswLQIatXYNebJ+NmF7qDBHtgTnzPpKRoBRixDvVNsY5ohpjhFgeMjFn7UuC/YewdIu55FpFWG/Gh22NsQQjotN6QzFupui8hiFOiK1DSQSRNomZDKgNbPzfO3le830QPRAC76vRDXu+vzgtwR7/jk/OPAsOHx3CX0FeY5Qx9jjMKxuMv4GtwMbeS5//7T3HLLkn4yEVmCmqPfR4BZ765KpABXmqNIF/P0dboZLaVAV6SW+Dun2gCwlghxgWi1/NygyvPQW872QFTtSzIP+Z40VcE/d3L8PVCczXH4yr1MFwpMPDqa7jMCHATmDcxfgDEfx9pXY8zHgZGGBr6JSGNOsS19MettCHB3YxIhMNGOFomsfQp0RWrxbh2al7o0g5YJSXPxgirbk3W5Ks9DXM8sSe/uWUr1efNxusLluHzcKN43KVGUeACK5JjoH81+wQ7jenW/DLxwHrA/Ljf2Q5AfaP37IrKBTDJUfUMO94dq4mQ7WiOyPijQFallJPvS3EgaXAbpevvuJl0vJA1cE8l1ct7rwHs+Hj8fIR2ZPduT3tocxn1BBmXHhrgvyznvNbgSY8k+eyxduXmKQZ8rdfQ8wMXxxgF37svBvDVux2O4Xqao9bnNIuvRNIXKlcnvr3/DJnALcxXujgvAONhPtq5tImuVAl2RKsyNZHtQoGaNW/MGsB9c5nWuwgWp4/GKsMa15qg9DWiOGlUazkLYU5mu4D/8c4S4gDYP7AVCE6838EKdH8I/TwSaNlhkeSanB9MXIe5zYCeVNbbD+LGDNAD2t4tIiQJdkTLmAuDVuN7NciHpgOfkdegC46XOUmSuIu2tgTTYTc4bkA18y3N3w7LXO8rOQQRTXsAZt3XRIvQRcMQ9LZJzvbTPA98GlxYx5jYevzhtWwgcB3gSay9GRJaueNL7a3acbJAblO28M14m659uXbtE1jIFuiIeY07D9w6ks4T5+nH5q0dIg92QUgC6lHxV81Jc3uwIaY/MuHfO8oEo4SInDOLlCHAMXEAaV2BIgt1q5wiqrIM0lzeMH8/HDyLgOTLB7iBxjU8FuSIrEpa9DnC/08nMiYlq1f6CKutEFlGkq3a1j3VCga5IzFUSeLXrGR0hniK3rLZYGJfdOoKL+cp6R80Q2MlFrvNS0ql2d5IG1CO44HIqHkx2fMAFkYmAynSDgGz+3kncl2AEbgKJWBLsJvv7quQdA66HKIzP9QJwDrLly+JJKqbyQKQgV2Sl/EoKES6FqNrnUABgsn8Qr+9YRWTZFOiK1FL+5ZKsm4iD3ZDKXNfAm+0soPp+AdnBZcmyIvXgLEz1pNtDb5lUUSiXTOlbGpAW19Gt9iUYVFlXLgl2twFY0hnYEk8CAwpyRZpNgatIUyjQFYm5+rD3wL03pD0m5bcMQ9JezuS5L/D29wePle9Xnm8beI+8XxP3rAta/TZcjkutKD9ncp45XC/Q8Yvdl2XyM4xU2d9vS0g2OPe3Pw+uS/c02emGn4ufK9AVWbHy2dBC4jQFU/0P78Q4biCpiFRQoCvisfYGjHkY/iqeCOEa3O3BJCduluygLt8IlT21eK9DsrcaqwmIg1RvnT/4bUfcpj3x+Y5RGfAmvbohaYDrr4PKQLb8Z/GD3xBc1aOzZTudRkSap+vy9BexOJsr+8ww2Z2TzyJwd16+CMY8rElcRMoo0BUpY+2VGPMk/NXF7ovkGtLe0JDKVARIg8mA6ikBc/H6WbJfUL68d458Txzgno0f8exmcZC7Zc8zRM/mKQY5F+yOkw2IkzYl+cZ5srV2AyqD3WSZrE+WE8CVSW9S+RRx5akMIrJcQ4Wp0vOJ/tHqd40S/rYvEuf2i0g5BboiVX0Cpn4K7r3YBX/fQxoo+oPQQrJ5tgGVAtKZjMpLk9XaN+lBjnpw9XApBcFdO+YY6p0iKswyMbcbhuOenqNl1096cZMgN2nfeJ02hGQD3dmkzedcO7gAl7Lggltrb6vyQ6ycMQ/H51fvlGwcef8DYsTCrClLYfAk6yGutFL+l25tbuDtSo2t8PiV1dq29pdWeH3ZKBToilTRaABnLqAyh5cq65JHMj3vsQG3z1HcoLIQd/vxMSoHpIEr33XS7V8czvE4l1Cc64Nx477kkhqapet4AmoLyQbt5ccFyfpuoI80Lxda1ZPrphgeiJ/rVqxsHJMLrsxKvnfWVXgJKfs88ISksW10mmxFlHZI/+Bd/vHLZ8wHFOw2wTm6VV5MRGqzz7mSYqUe10RYtmNIXGs2Ap6E6GJ40Ktve5K0bm2pF7XsVuSX4mXey99LBqCEZUvIlh0LSOsA+22qFeT6AqDbwLlusl9upzHm9qb26rqepgu8awwo2JUNY+bYdjfobJg0yE2C2fGynf1a3nyLpQWdFyy3iZ5kQGqnaPZFaYwCXZEVspNxSTGo3nsa4vXmJl9IT7ryXw9enH6p1Qpw6UmfJsGu34NbS7W2JPyqEdXOEXjLENehe87gypUlX6ijlN++XEngm95OLc8DVrArG8QxIDDMuNGfaXk/yP4+J89D4rSo9I/Pxbg7Js2w0kBzpcF2+eeErDbGmJ3AR4HtQBG401r7XmPMXuAPgPNxVdp/2Vr7D61qhwJdkSawX/GC3XIhcU9qhPsi8j6goyfh+Ejywjuozq2kL5HmBgfeer9HOajx3FdtKmD/nDlveR7xhBF5sl9woxhze+YUSw123fED1L8VqmBXNoCjuF+xJO/+JOnv6Ekqf5dDvJ5e97vTWCDbrt7QlV6nXuB+QcVnTzW1PouM+QDNeB+sffWKz7GOvQD8e2vto8aYPHDIGPM54L8Dv2mtvccYc2P8+hWtaoQCXZEmqTX9rxlKniVBYnnvS61bgHWC3Qmywe6OeH3yGlzub/K6Vj3g0DtupOw8/r7n4T6yMpLg9ALSerrO8vLnKnullIMnG0ryKx+WrQ9Ig9ogXrcDryxgtTrWT3rPWxHYNnLOC1d4jcXyjhfv1a0dDI8uuTVOMiA3Of9yBvZlq9W0alBvp1lrp4iT9qy1kTHmOO5/riXt0t8CLDKf6Moo0BVpMTsZD1qjB/fB79/uT4LcNCc1FVE12PXzbv1Hsi5ftr48yKXKMSO4iSjyVfbNAzPJix4qlQe8sPz83fX/4S9S00i8DMjm/e/w9gniZVLJZQQ3XXgFf121gHOpA5Aar+qQXmKFAXY0QGUqV2kjsH9l51+WUVYewDcjR3ptMcaMAPuAh4FfA+41xvwO0AVc1cprK9AVaQP7HBgDlb26kO3RTZ5/i6ofpsl3U1JqKCCtvZtsD0gnnkjWQzyzknHrkhzfgDTI3Un12dNC4KvAt8s3eFMMJ4PsABfsrmxEtoJc2ZCGy14H8aPadN++wSrrpvzPj2b06NYLOqvpqfx5lioknQa9ansaCdbrlUFbTp7vSNnr5QTb0TKv3XxFuphn83IPf5Ex5hHv9Z3W2jvLdzLG9AN/DvyatfY5Y8x/Bf6ttfbPjTE/BXwY+MHlNmIxCnRF2sTaJNj1g1pIP/DKg90yfpAbkA1y6/Xi1ps6dATXW7QTN9vaiHVljXz9wNdwwwaSmJaL4xc98boB3Af+ONkpgpdOQa5sWCPe72po0gB3JF6eJO3l9Wcz3FvlXFNeYNqs6lFRraCzikHcH9ArcXKxHRpoz9Rin0NLDTh7Vv5+RskdsDXvm9baA/V2MMb04ILcP7HW/p949euBX42ffxL4UOuaqEBXpM16IH+xV/eyvNfT7yWNP8TLe3FHgF+kdu7tYgLgCu+1n8sLVQJj4z4pupPXXvsGvePCHpi9OA6Ek4ExHwfG6gav1t4W73daQa5saD+661MAROQZ2zXKRDAaTwaB+71/uspB5dN3J/KkgWn5ZBNQvypLNWGN89Qy0sA1wkW2Bw2cYzFT1fKXE8uoPex/5vnCGuurCYGpdGCtMcu9+5V3s2iuUsYYg+utPW6t/V1v0yTwcuA+4FqyCeVNp0BXpE2MAb4X92H44EBZypsX4PofXP4XS4D78ni/5RW77q04f0SeQ58/mK4IS1eOj/cC2AA3nfC4t++Et29pv7Kgtx+IvCB3hDSfMPDOFQ7A1A/GF7ggHuFcfXBZMguae64i8LJx/SQu0J0lz2H2cWr/YT4zcXO6Q7UUhjlcL295wFsvKA1YegAZUL3UWS07FtkvrLMt4adlLVu9Ht2kF2EJweJIjfUhjbc1AGartCtad9M4HwReCxw1xhyJ1/0G8AbgvcaY83BJcW9sZSMU6Iq0QSnIPYj7bM0BXxyAqeSD9kJgoHZvAZSC3F/b9dtchwt0I/LMs5lZ8m52m2vJBrv+BBGYOJiN9ePSFZIeo/F4WZEnaN0nxXlx26Z6sqkSOdLbqUnbQ+CxHjh+cfqzUTnTmTHJH/LJbbzTCnZlw3rV83GP7qY8uznBNNv4DDenk70EZAPOiOzt/dB7HtR4nrwuX9eI5JhcvZ1qXLPa9nCF52nk+Gr5yyU9i1+jXK19gyWep1r+8kTP0sf8LWOMYLtYax+kovek5Lva1Q4FuiItlglyryGbbvDFHpgaIdNDmoyw9uvcBpSC3LfxLrb/2YwryvIdMDfURbQpzxRDzNPH/LV9HP/8vmxQ6+sHRixbhqcBmAm2w4PxtvF4GX8Id+Xm3VTDkAa6+Xh70tZkXdLOgGzps2MDEKUDNow5i7U9GHOWdMCdX3VCwa5sTLk7im45NMP1V96H3QK39Mflq/qp7E0MSH9nczQ+/XdAY8FqLeXtqKUZucG12jlHY4HlSJ1t/vGNvh+1rjlOtjrGYmpdr9bndi2rONBdLRToijSRuw2fpCEMwA3AbwJXQ9flc+S3RuR7Z4mu7id6dZ7iwzk40lM99y4g/TB8Lbxi171cx71sv2cG/i7e9mXIUSQ3NMP2PTNMHywwyRCTVw8y8wfbKyeW8ILcod4pAKIdeYp7cq5n92lvv+QYSD8pduDOOUI6iC1pa/JIjg29x/HsrUFT8Tf+ANlBeacx5uMqxi4by13xcgiYBJODLT/7DDMThewgUf93LPCeJ2kMUDvoOllnW6OaNbgtWGR7WGdbtXSNpV6j/E7USiz1HNX2v5zGeqnLrSDl4RzdzDbtH3R1WjTQNcZ0AS/D/eqdAR6z1k63umEia40bUHCl+xLYA1wPl739MAXcr0ve+9N7c+88FCB/0yz5myLe89Tb4L95X2Rh2cn7YZoCJ9gN33Gf+2303QVsgWv+4gsc2bSXod4p11Nbfr44by96Nk9UcHkNxbk+d1s0xPVKJPuOQDH5Jvh2uq609PMFy9sb4noaKmZfq/aBnC2enj6/QLOhyYby8aNuOXIUrpwBfhje0vs/+eyuGzk8vTf9fUz0kx1YCu6uUT2fYXmBXeg9b6QXcbGSaI2ep147liM5PiAbKAcrPO9Kj0/OsazzLCPlYQ0yxhzA/Q9P4tFjwN9aa+uO5qsZ6BpjdgNvw9U2exL4Bq7A0CXGmHngD4GPWGuLTfkJRNYwY4DBAfchdTnwo/Dzr7uDN3MH8/QxyRCn2EZEnjwR/USMcoKDXzsEfwOve9NH2f/rj2WD3UTgFpMLg9zbex17LzrCwaFD6VwyM/DxL7ss1xvuKnLNmx7gIa7ieLCv8kthFggNRfqIFuKoNzRpYAqVJX1C4Hnv9RVU/0AOyV5vPH7MQhrgln8aP0nFtMgZA6VUB5H1bsxbDnwZLt4Dv8wdTDIEBTg059XVD3C/uyOkA8/ywNV1ygkCHDXL65ENWVqQ2Uigu9x2JJaafuH/4e2fJ6CBUmbUL5e2klQQX7DMY4436fqrkDHmFuAtuEKXh4DHcfHo1cDbjDHHgP9krf16tePr9ej+V+ADwJustZnfHGPMNuBf40bTfWSFP4PImmaGSKsp7AB+Cf7T/tt459d+y/2puAX4iUM8c8MWpuKu2Euef5zc24o8/F74W+C2O47z6D9fXhnsBpS+MKJn84wVRvkUr2LvLYfJ/Zb7G/PJ96ZfkDf8Flx18yH2DhzhM8M3Z7+cQrwBIIYol0/XJ5IejpPeMRGU6omXlyKD9EvWP89R4DFcvll0ljTA9cv5JD25z5WtK9eDGXIzzImsZ7fFX7W3G8MngNuehu1/OMO+Nx0G4HBub/aAHBSDOId+1v3B+l27Hqp7jUP5g8sLpp6msVSBxHKuUe0cYRPO4ysfkMsSrrFYJYlmaCStpFpP9DoOdHF/Rhy01p6pttEYsxdX3H1pga619qfrbDsFvGcprRRZ68yNZD8QQ9yHzEFKwd+W25/hvb2/yuvv+QRnfxr+ezx17i/dBdt/fIbtPzEDM3D2bXD7THqq24/Cbd97nEe/FAe7P2PS2cr2un2Kc31MLgzyQO81fHbTj3Dz0GfgLviE16Tbvw63vReu+s2H2LLnGWYmtlfmy8bSL8gqP5f/fCR+vgmXklFN/PMT4r4QT5LtJS4FuOUpCuU9ueUldy4snd/cGK8qKzlkP1ijTbWauvAMYe/2xXcU6ZDbrOV2Y9xdmzvgJ9/kqjF8autPVu681f2SzYxvh37Yy5G65z40crDu9poC0j+AlxLwLnbOdotqPG/ESeoP8GuG5ZynWddepay1dyyy/Ui97Y3k6HYDP4L7uivtX1b8V2RdMzeT3poK42WAN8kCdP1/c6Ug9/RN8IEXapzsJdDzElyvp28n7Pvacd6/6w38yv9Oo7eu3Dz5rRFDvVP0MQ/Ap/hJrnnTF9j+dzPw5fQUowBDMM02N4AlKUtURVfOnau4p88FsOPGpSU8QPYLLYS6M0R678Hitzdr1bSslrqQTIU8UPucAZi3gn13vWt6uy88A4B5ymJ31ap6I7I6nD4OA5fB9q/NsPeiI24ga5Jy1G7V0gyadbu+lrDKumAF5wtY2UC6lVy7FefZIIwx76u33Vr7lnrbG6m68BncUJSjgPJxZcMxb8X9mRd6K/3nI8AvWf6o8HO8/s8+wenXpkFu0jOTz+HS5y+Dv37ZK7juyvu47W3w8Ifi1IWXAL/tjnnz1z7M9K4Cj3MJpyi4+rhkB7OdoY838kF+9xP/jtveMMEHPuTCwlf/D/jkm36UW576s/o/VEBaASL54hx26RHFIOd+60Mqe25mqZzEIln6dT7nvHVRD2kZMf9b5kLSHN1a02HG6Q1TA9XzggN3SvNOsG+v9cM65ikLpKPXzd1gb6p/jEgnPfwC3DAEfBV2X+QSlPK97i/XWgHvCXbXP2ngPQ9ZWmpAeWAb0JygbSltqKbRNoTUvivVSBuWW60iWOZxbThfka7Sd8wqdsh7/pvAO5ZycCOB7rC19juX1CSRdcK8D5c+EFbZGOI++H4a3r/rDbz+zz7Bkz+dphLc5qW292wBXgLPvGwLn+JVnBjYzVUffIgrf+A4V/4dbq6YxCS887nf4osv+y4e4BrGGCWinzP0VTTh3/G7/OYH38Ev5Y7DS+CT/+5Hec30xyrbGeJSCoJ4XWBL5cUKvWkRlXwh4vD1e5np3w73kNboBHjBex8ywa7Nlj5K3q+R+PUE6WxqkMa60QAurSqZCrnWwNkn3X4TVXqDQ0qTV5j3Qa2/683dACatKhG3rZEAWaRTHgVu2Al8Hbb/0wz7XnaYw+yre8w0hdY1aKTKunbGSCEr79GtFazWC2KbWZ1hOcrf46jOtnXIWlsaC2aM+TX/dSMaCXTvMcb8sLX2b5bcOpE1zNxNZU9uuZ+G/7b/3/Lmez5cM8gFXG/ulXAv1/HH07fwUOEqvsA13Piaz/L6K70s27vg7HtdYHzwlkMcvOUQX7zIBbzTce9uedD7Dn6Tt73nt4nI85rpj6UTPJQL48cwbBmeLpU928Y0+dLcahHbeqd56NqDTDDqgt2w7ByB99qfItivvTuCCyqD+Jgonk2tvD7vxEAcBJcrD3q/5fab6EkD1eTcQfowHwX7uuyRpZteT8dtmiMT9JubwX6yShNEOqiUp5uUEjwO173sXsZcghJRjTl+H5++pPGLBCytN7X8VzWgtYFf2EAblqq8HFtisXzdkOX/rM0ORjdAcFvHImVFKjUS6H4Z+HRcT/csbjo3a62tda9RZNUxVf632loVrXABU9UPNX8GsBC2XP2MG/xx3PW+QJUgF3jyy3CxNynE49OX8DiXcO/W63jgou/jzdzBvn86Dsfhb2dgdAYufhi4zN2yPBKPSMsTxeFonlNsK53vV3kvYwu7K4PcANejGlL1NqUf5Kb1fmfd82thIhh1lQq/AXTjirkElq7cPEOFKfJE9DHPPH1E5JmcHqR4Mld7dp/AW2baciHZ4La89zbeFo3EqRCkvUsh6ZTExP92yc/qf3mFZMsLnaR0K9ZcBbb+YHWRzkgC3RnYxqlSnn6FwC2KJxdJnPWnng1pPHirtl8ANeLt5ghY+TTBq0GwwuM7lJa9XjQS6P4PXPGko+VlxkTWjLIPinqlqsxbSf/qD6ldKD2AmWPb+f39v8w1b/4Cr/6bIrff60oDlQe7nwD+wy/C63d+gqmDQ9w2/V/d6Z7N88fcwonCbn75Zb/Pzbd9hhvAfbndDIcPXsa9XFc6T5+b5Lf0+gS7ici73t5n89kpe8sF8XI2mTDCRe1n6Isr+7oav6fYxjx95Im4bP9hJvcM0v0nC5xnznHZfjcBRp6IbZxiiMlSoDvJEKcK25gsDDG9v+B6hH3j3nuZLEvvZ55kRrT6Irfv1CJz1EdU6X0mHYySbE/MgXkp2K8scnmRNrndGPcb9JJ03Ql2l3L1ywemde1YeimEYtAHQY2JaoIGThA0KySoMzC0kXbUCwQbOR6W/rMvxntvkoG/S5HfurSSEDOL77JmGWMi0p7cPmNM0k3VUMdrI4Huk8AxBbmypo3Ey7B+MGNuJDsNY0iVoCwW56J+5tGb+dX9p/jQB36F2/413P7l6sHuh2bgl/413Hr3e+BllIJdgPsevZ6x/aOcetk2bvlff0y0Kc+f86qagwT82dYWHUgQxA+vR7l4Msd0oVDqiU3OlScq3RpNrjPaO8aAOU0357iOeykwzSCTFDhVCnqTYHuabUwxxBij3HsT2WDXfy8BpspnSUsGrJ32lknP7oC3PQ52Z+Ngd9w7d1DnfdhJqUeaYwaOkP6bxseaC+r39Iu006u/B/iO9PU0BbbFv/tjZX9IDhWmlnUNP1iemUjze5NqL60WPZuvOxHDoj3UUDfgbjjI9HJ0l/te+vzBwzV74esYYmmFwz+z5CusHdbaFSVrNBLoTgH3GWPuwZsfqR3lxYwx1wPvxd00/ZC19l2tvqasU4Fb1Ls9bYZwNWtD0hSFMF6WJ/8HZAZmfPjRNzO0f5J3/sFvcdsvZoPdJNfuNPDxr8OrfxFu/dP3wEUu2C3O9cExmAhHecvl72WsMFoKZGvJEzFPH9s4RUTe9cBu7a/fqxt4P1M/TE4Pkt/qvuTyvbPM01cayNLHPLsZ41KeiD+ke+imyBUcKgW627824+p8PocrmjB0nGcucpNi7OYEQDbYnYNSic+q3yN5shNK1BO5nN2oJ60DHOL+TcoHleSBq12ayWjvCRfM7xplYjhOyxgnrRTR72a505/1sircAnNDXQBEm5I/SGfjZZTJ013sM6OWfK/34ealNSSDVRdTL4jz/5Cuef1CjfqHsUkGG2pHLZcWnljyMct9LxN5IjZ770u+Vo3HOscvtQ3rOdA1xrwJNxPvt6ts+1Vr7XvrHd9IoPu1+NEbP2AZycBLFdfvvQP4IVzG3z8aY+62VjcXZRly9QccuSl8ccFS2YQEVYPcgIrbZf/lqf9K38vmufUP3sNtr3WTQNxusrfkTgP3fBlueC+86j2f4qHCVXzm7ptd8b6jUHwwx3uuvpXha8e4ii+yzyv+ni/rUu5jvtQLWz7SulQjN6zdG1Kc62MmDohnKGTybnczxj6OsBsXGD7OHropspfDFE7PYJ7GzcQziZuLZgtwGWyfnKFw2Qz5AZcCcYptRNf3M4M3QcODyTuRvKE9aTpBRa8uZHtzffH74Qe8ieTfsCzI3cuR0nvGfpgIdgMmTWUYAWYV7MrqMHdLF09suhRwQSOknwN+gJnvna34fGhU5rheSoHpSoO9Zhkq1C6l1ojl9KZuW3GgO7vkHllfH/MMruD4pSjSVfq/tYq9B/hVY8y/rjI5xOtxHaI1NRLofsRaO+6vMMb8yyU0cLm+Gxiz1j4VX/PPgB8DFOjKki0+qv6suxUeUjkAIizbNYiXSU3Z0nbj0hFeBrf+r/eUenbBTeQwQhyynQdc5m49TjLkelGSQC8C7oGJ2VE+sWc3J3aNcg0PlHpw/Q9tlxc7yCRDLnR7Nu05SWrkTszthgkv2M7kpmaD8CI5Jk6OMrx/LE5KKMTX3cw5zgNeYIohZgfyDOYmyVF0AW4Ol0c4BHYnTA9s8SpE5BntPcGh4e0u7zlp4hFvsFngvefHk/XlM6hBNtgt7/nNu5/tuFeVITn3hLslO71r1gXe9DPJEJPTg26SjPF43xHvdIGqMUj7lf9h/MCm7ys993tGk7s4sjolYx7q71N7e+mPcUl8FfgPwP81xrzfWvs73rZFZ/4xi6XeGmMOATdZa0/Gr78PuMNaW6tIR1MYY14FXG+t/YX49WuBK621v1LrmIsuusi+4x1LqiPcEc8842Zn2r5d05A200re1/vvt9BtXJLM+bjpbl1slzrnrU/2g+yfi/H6i84/wUu+PQFPle3j7kKyMNrNGKPM0c/ztpdzp3qz18q5Y7pzCwRmhi7OVbS5SDdn2OyOf74XutJ9+nrP0MsC4cIWmO92t+Wfx039cp73cyTt8n+GTe66m80ZNnOGTSxw3jNFwNK3fS7+Mc/RzQt0U6SX5znHeSzQwznO4xzdLNDDswxwjm4AItvPuble14ZZXHvOxe+Xf+0ZYN7GDfVzeHsqfn63vadsezdg3L0n/98xB2xxP9d55hzPf3uzu1ZyI8x/e78dHxt3hr+8hWVJ9VnQOmvtvX3/+9/PIwuH0lFFW+COf/55+uOAZ5Z8qYbuKbbxhYVrSsdGz+bZVziy4jb4d4aa1aO70oB8cmFlqQujvSeWfMxKemN99YLZxQLdpfYqf8Lccshae2BJBwFDBwbtLzzyc0s9DID/Yn5rWddcKmPMo9ba/caYFwEfwnWZ/Iy1dirZVu/4Rnp0fxEXRf8osB/4LeDG+oc0RbUovSIqN8a8EXgjwIUXVru9KdKgJPB6Afeb4Qc/1abzTYLGZFvy/Bx8jd0Uz+9i53d8ne4q8wlOsoOzpUwgXFAVH+tf69zzvZw5f3PVQPcsvTy/0AsL3S6AjD83u3vOsZkzdHGOvt4zzCe3/V7A7ZdcIwl4k7Z7y3Mv9DJ7fi/F87s5ywJ5ZjFY5sqmRuqKJ0ssxhF8Eti+EIfCic3mDGdycO683jS4TdrgewF4wcDC+WQD3SSoLR/AVv4aoBsWTHq+85PzuvfzXDcu0K41RXMSIG8C+s7xoD3H1aa3xs4iy3ffffdx//33A1AsFuEPcKlAAFso3RmBbMA4Wao55hTn+prSw+unCGRydxtUniaw3DY1c6au5bSh/P1drnqTd0QL/Zm7cOWaMSBuvbHWfhP4V8aYXwQeNsb820aOWzTQtdb+ozHmLcDf4L7af8ha+40VtbYxE7hx0olhqPwzy1p7J3AnwIEDB+wtt9zShqatzF133QXAWmhrq5mPxk9Ct6g/Y3V9K3lff/Zn40DKn9QgyLYNvPU50lvdyWfVOW97AAzDz++/o1SCKx/f0AK4n+8t3X6cXBh0U+/O9bkZxkLvWriyQUOFqcyXUGn/cZPWyR2Frsvn2Fc4UspF/QqjfGH6Goofz7mBYF8sa2POe56Pf4bN8UWG3M/QtWOOX7znj+niHP/vliE2Mx+XJHM/uD+ALVHttltSmaFUazes2MXl7x6Ll9FpXNGXWvyqDHjPLyST+5v8e45Qd3R35rv1Cui6co5LC08wyhj3MM/HeX2dg5dHnwWtsxbeW79tBw4c4K9v2MUobqrfaQpMMlT6XUomi0m2ZYwbol3NnUVgcmGwNN3wWtap6W0j8kw8Olp7h5Da9cbBDZYNmtyotSvT8Wmt/QNjzH3An1D/Ux2oE+gaYz5Dtge1D3dT5cPGGKxt+Szx/whcbIy5CFfa/TXAv27xNaWNuqfn2PKayJW0iQM8cze0/H9Wo8KyZfln/jjZ2bmgogTZh8M3w4hly/A0Q71TpduBSZBb80M4OV9g+ZHCZ9nGKT7FT6blf5KAOGmT/7zMpYUnOP7Kve4Yf8KEkOrBZly9iyPuZyyO5Jj/dj/dmxZKuxxmX3ZyiNIfB7ZUlijfO1sqP1b585VNG1xVMkVw4kmsvXKRY5bOvDV+kvzcsfLKFd3TcxR/J+f+3T91Gvg41v5S09sjG1eS1z7GKEe5IpOr6f8ePcTBTBA6E6TbV3qr3+9lXGqQeGlh5XmlEfkVDT6rON9yztWEGzgTT+2OB97WEJIp+VhhZ51tG8+byldYa79qjPke4CcXO7hej+7v1NnWctbaF4wxvwLci7vZ+UfW2sc62SZpnmDhGX6k8AAAk7uG0p6+uT4ayC1vreT7I6AyyA3L9g289cnzp73XATBrmAm3E+1IJ2kA0p+3PGhNSvwElh/d9Snexm+X6tnesevN7jjK3qcRSlUg5uMJICD9orps1xGOv9Ll93GUyrnbA9IgL6LqB/B55hx7OUJf3KNLgXSw20Tc/tBQDHLMzPUR5fJEW/tLX8j+rbqu3DzF2bKKEP8L1+Oc3LHLA1HSS3u2JUEugH23G3hWEhAP2jMcD/cR7XdtLj6cS/9dv3cAvvQLGPMk1l6MSDPc/LXPwCQMHpxkns3Mki/dBfL5+bPz9LFlzzOLVheod5s8UVGWcNE/RrMep7Hph+vV522knVClrUtV52ebacZEGMdM9Y6ERL0gFxafkhiWNn1zDefo7livd6Ostf9gjDkPOGettcaYncCVwAlr7Z8tdny9QPcLi00SYYwxrZxIwlr7WeCzrTq/dMZOxriu15XOSiYoOMFuCoXp+JZcnds9reb36oXx0u8pLe81LS9F5p8nEZ+nGOaYmNud1rktD3B9XpB78M8OwSS87Zb3wADcUagR7AbJpfOcim9t+vlpl+0/zHH2uf2Okv2Q9KbQ9dvM07jawl0u7/cKjpYqQEwyxGRukGJ/rrJ3OAl4T+aYiXt5fUOFKXdrLrl19xngU2XtGab0/tjnqg1Gax77STcNMODuH+2g9DNNhPEtRL9Q5eVA0APjF2uSCWme3wJmYPvTM4y+5kRptsJy/ro8EX298xX7lQeMpc+cpahza72aeuUMfTNBY/vVFVLzLtaSzlGVWfn0xuPUD2ZrXnsJmnGONcAY8wbgt4FZY8x/Ad4KPArsM8b8kbX2t+sdXy/Q/XtjzJ8Df2GtTdLjMcb04uYXej3w98BdK/sRZCPZiasP+308wFW42Ru2xcWskoC3o4FuIikdVuuDNIyXQdnSl5QLy5OmOcwaFxj6kxyEuGCS+JrlQe7b4PQkDByHt/32e8gPRC7YXRgkyuXdNJ7jpuzS2S+5JEeY/Yd5fMclFEdy8ADZnmj/Z0g+oE+6RXfPOfqZZR+H6Y9nQptkiOlCgYnHqsx+FpC+dxOG4nCuNEXpUMGlcEzuGKQ4EecOfwgyObfDuF7qsP4kH81kH3Izo5VKxgVUzrgW4MqkDeN+viPA025GPas/yWWFnvyQW178HBReM13qufV7dWerBL/lExSUcvh94SI9jNWML3H/Ro004RwhK29fvV7T8j/+lyq5s1dvZuZ68X7YwDWSczey79r2a8Bu3L/KceBfWGu/aYzpw6W5LjvQvR74OeBjcZ5siBuP3I0bmPZ7VQr3ipSYN+DyjEZwg5oun+P7Cm62rd2cYO/p45gZyF8UlXLR3Af49R1obQ8Vd29qBbl+/dzQWx/gTXzgbQtJ69cGVdYl9rpFV26evRxh7/OH4Tg8+XX3p+urj4F5GPbecIRRxrIzBgVkpsFMenL9qYITk1sHmRnOpTlgtT7Qw/SxySzQw1lXHfL5iPwm798rINvzU/6+xK+LuGC3lHO4NWJmPAd/BnAP7qf8KeDihmayawX7HBjj1VQOcV8mO8gGuSN2eYGDSB2PxsuRL8Po12p1p86w+aLaaQqZntzyHtzFekDDsteL3V6vdky7hLg7UyuxWBAarPD8J+tsCxa5vt+OWsaX0pg1bcFa+yzwrDFmLK6+gLV23hizsMixtQPdeKq13wd+3xjTA7wIOGOtDZvTbln3gspVydSGBaYxDwMzMMoEXJTu82o+0pIR7nXVGr9R/sWQ9ND6ObtB2T5+sFvO3z9P9ktiHBhxtxg/xavYvWmM1//EJ7j4OFz8VeAWGLthmE/xqkwNzTTgMpBzubD5XpdekAS80xToY55pCm5A2zGqf0kEXpuSdo7DfK6fb1x4jj/nVWzbdIp7uY6HuIrjn9/nzhVWnKny555wwe7k1kGGeqdcOwLcMNPfuQGiJAf3NIwPwN7O9JRa20iaRBxA1K3eKLI0r34J3JPcP3249n5nLqqdn5rkv0YQpzd5yvNGg7KDw0VeV9PIPuUaCaAbuW4jgWK146o9Lxcs49zVrrXS89Q7fsR7fnyF11ndNhtj9uEq0ffGz038OL/ukTRWRxdr7VlqzE4vUldA5hd1M/Ns4xSXPP84fJlScfTdWyZKd62nKXCAL/IIB9vbzlqqBbuQ7QEOyPaM1gp0y6/jvw7jx7gbBPXb+29l9mV53vzbH4avwuEbLuMO3synFtwg08ztybiNxaAPagz0mKYQjwQ2adpCNf7hI5TOP/vtLdzBm+ljnkNPXQV/aSq/sOqNaYivNxMUXK9okm4RAK8GPuT9hTAVl3sbcbmz7e7ZFemI34CBX4yff7n2bpOvWbzOa35rVPExVCTX/LzR5QSb48s4ppqwScdU6zwPaU6w24xz1NKEVOc14hngd6s8T17X1VCgK7IsZUFPfmtUmgM890jR9VjEga7ZAruvnCAayLObMXYzxk4KPN2ufN2ReBmWLYN4We2WX3nqQUA2NQFqfxAH8bbywHA8PcfxR/fxrv23wkWw7SJXXuzehetKtyYzA9pK1zNEuTyUFRufXBhk5th21/uaBLlzuA/K8jYmr4Oy9r0Ax99ZNpgt+ZJLbu1X+yOg/NzjhhkK6ZdLgEsJuKHHTQ08ddqdaCr+y2dEwa5sDGNvGmbgF+NfjDo9uvUmIvCrnJRXN5ghlw0ymzHYPmzCOZZ73eVcu9ox1foGIjpfx3ax9Il62xpUpGstVF14xUqOV6ArbTXEJLsZcwHXcTg7Az1bgJe4gUCXHHic6U0FLuUJTjCKeWo3dlcbyo3V+ss4JBvs+iW4fEH8uDrO3UwGK42T/TBKnifrwyrXTLbNuhH/77r2VgpMc3h6b3aASRLkTlBKe6Af2EFmtPbj05dQfCyXpitUu2Yionb9xnPA3+LO449GTn6OHaR/MJTVpHXtxcvnrfJvej3u3+GxATh+FngSpkZcvuwwmJeC/UqdtgPGVEYHrSpLJtJsd/Bm/tN5v040BzwC+RqfS5PT1XOt/Nm0qk32MDNONm/0irIdlloGN6R5weZKNXrOqnnKp2ucc6D6+nZa3TFoWxhjfqLedmvt/6m3fdFAN65l+ydxIrBI48oGZc1MFJjcNcQUQ2x/yQwMxUHuTtwsXEMwtWkoPjT+7V5qOZxlMFfhgrTyEayht1NQdlAS6O3FlZq6An70dZ/kOu4tzQDmynxtc9UJKGTqyBb744kWAio/oAPS0jaBKzw+mXNfbH6ZrqrlxUay1f4mF7xJHUJvP3BBqZ9ukSzHy9oTxZc5F2+Lzma/EJOBW5AduFVeqi2gLNj1tlVZNqc+bY0vMJFV6HV8lIe9qakHZuDK8mC0TPFkGg37dat9VSdNCBpokL/PeJXt/gQ0SzlXKzR6/mr7TdQIaEfKXo+z8pJmSzHH0v/4WJ9+NF5uA64CPh+//n7gPmBlgS6wHfhHY8yjwB8B97aydq6sMxHpoKfQcO+u6xhiksEbJtl+fMalLvwwzB3oYmrTEH79hXn6sC0e7GOGcB9mfi9HWGPnoMoyDnJf8bq/5nf5d4x+cQL6we6E6YEtzJLnMPs4yhU83nsJpwouAB7bupuZB7fXqKFLZqaxLcPTVXbyB5t4ua7JtoV+6PVGYAdUBp9742XyHej/XEe8C4XAVly9lb24wDY6610szqcdJ/vFkFwPKgfe+ef2f6A5XN3chgaEVTOeeWXtq5d5HpH22/e7x7ndez0AXHlt2U5bshMuzPiB7rP5mrehS3eDdiyzcdVyccdpLPBLPs9WqhnnWMp5q71Xx5Z47vEl7u8LVnj8OmGt/VkAY8xfAi+11k7FrweBOxY7ftFA11r7H40x/wn4YeBngfcbYz4BfNhae2IljZcN5gGY2DPKA/uvYTdjvP7HPwHA2EXDpcAW4BTbiOjnK+xraXOMwVVbGGfxD9CgbJnkTu10Qe4HeQOjvzYBnwa2uAB6+84ZGJph9LIJbvzxv+JTm17FCUbd/PW9EYev3uvyZpN6veXpAHGQm++dJR/Xrs3YGseRuXgQmid6Ng9bq8welKdU7o2RdCKHzBdnUABMNthN5IA9wLEqwW4UB6cjVd47v1ciCbar9VSEK518Yaz0zNrbVnIikbY7/bay1wDXle00BEO9LkUhIs9MmG4q/xwoCcvu/PhLX63b5BHVA66wyrpaql1vKZox8KpWG2qdO6hyzGKBbvnnWrjI/vWEKzx+/RlJgtzYNCw+HV+jVResMeYZ3Oi2F3D9O58yxnzOWvsfltNa2WDGcb2mD8LhPXvZ3ft9jF7k/k4qD+Ai8i0vL2ZM3AuZ9EaUB5qQ/UIISIPbgNIt/1e8Je7J/bUJPvBe70b5UdcbMwL84BbI/V2R1//EJxi7YZh7uc7lz/bC2P5RVwmhPEXDC3KTWrh9zGdmOqMXF+w+m09nW1vMXlxN4x1zDBWm3KxKXqH5PBFju0aZYDelYDd018m8F+AFu1637VRP9r2rl/tcxUoHnCm4lbXsA3Hawm3xTdPbjeGZG7Zk9pliqPZ0v7VSvfxUoVo5+PXkqT1LWiO31lcyw1giaMI5av3sjb4nI43sdDb7cmq5d6di7UyVWP3uM8bcC3wMsLjilH+/2EGN5Oi+BTcL2jdx8xe91Vp71hjTBTwJKNCV6n6adLDUTlxZm6tdb8RDXMUQk6UZu5KZf/o4w638XhsaF3crRgBVPohqfTAHpHmtgQsMB5mEucps0GSer2jO5dox42Y4Sn7WalN7Ek+Xm98aMdQ7lc5ohvsDoCLYJS4jVGV++Jpzxgc2roBRObtSzXZB5adFP/H79ySl2nB+sDtO+sUQoJ4JkQbdbtKA9UjZnS03e2QN4RLXL4VyRd1n/54620Ngok5g26wUjiVOzVzPObqJmvKXSOsYY4x1fiUemJYUkr/TWvtpf59qxzfSo/si4Cestf/PX2mtLRpjXrmSxsv69l37v8g8fS7nNh6IdWnhidL2SdzAs/J5229uQ9usHYh7dT1+PmnyV3TgbS9/HsBh9vHb3Mrv/cavc9sxePjLcU/uFuh5CW6Q3ZXAT8AXX/ZdHGFvPH3uYOnnT8/pgtxkitzywLOi5zt+T6v15GaKxpfPP59UhYglgXOynFwYdDVux8l+ub1A9gsz09MwhgvtLwbyLo83iPevVsIMqub8aSpd2cj2437tkj+aR6n8w3MbpwBKA1wzv4f1/kBfib8G9wftUl3oFlN5CBbp2QwWOVUzUheW05tdrl6OczIQd7nbG/VYlXVfasJ5V6+/N8b8OfAXcYWF/wNgjOk1xlyL64z9e+Cuagc3kqP79jrb1vdcHLIiN+Iiloi8GxhVcFUIxuLauKfYllm2m7U9lcEupMGd/6WRpC14vbn0u2Dzgd5reNdFv8atv/MervwksAUX4MaB7tx3dPGpTa9iKq6+AHCKgvsjIBkNXSXITb7gkjns/TzdyYXBbJAbmswUwODKCy21PmJE3s1YNkvt/LDMSGv/S/g0pd7d6OK0wkJSr9c/vg4Fu7JR3fALcPaT6eueLTBGdjBqH/MMMZmWGwy9jc3qMSz3JfDz35fuW3C8ThWVWoNVfQGrY4KEelUwIuqnN+xcZPtKrO9A93rg54CPGWMuwv1vOR83RPpvgN+z1h6pdbDq6ErLXMe9FesmGeIoV3CEvRU9mknvbzu5YLfGxlmqV1oIKH2hRM/mmS/0cS/XsfvgCW488FdEm/KloHaabaUBaMntoTP0lcqPJbYMT5dSFYaYLAW3APm4y+aM9/5Ez+YzZYUSSdpDtRJDi5lcGHRB7rip/aXjl2CreivzdLqcHcgGu75a549pggjZkH4Devxf6y2UUp0S/UTs5QifeSy+9xXGGwJqB7mBtwxr7FPXPcCjSzxmoOx5nR7haCQdzFrLXpY3C1uzjazg2D1ufMRKFY+shoh/ccaYncBHcdW7irhUg/caY24G/jNwGfDd1tpH6p3HWvtt4PeB3zfG9OAyDc5Ya8NG2qFAV1pmd9wDkH8+/aAubMr2ThyO889Kt+FP5tz9uzaylirBrldFIIhX7ST9MgnSAV2J/8VrObrpilJQe4pCqQe35uAR4uA0DkzzRFWDXN/kwmBlTw4ApqLHI781ypQfKpfk/GaC3KTmrv/9ei5eVlyzmnFcr+5A7VnXGjhXIxNEiKwnd1z087z5Zz+crrgg+/mZ6Ns0X5mnGTZwgaDB/cpYewNww5KOMeZ20mD3ORavkzVSf3O4wkFdzRCwoh7z8u+M5ZoI2jRj6Mq9APx7a+2jxpg8cMgY8zlc7YqfAP5wqSe01p4FlvQmKtCVlrmX6+jjDPlNaa6p36P7hYVrKqeznQBzDOzrOtlygJ601I5fbSGgVLXg0sITmVxaoJSDO00hDR7J9rQmKQhJ2kJ+a1Sqe5sMPttcJzAGqo+uDt1c9jNzfaUc3JmJQpqC8HTafl9E3v07hKYyZSGo34xKSW2w05R6dce984RlSxEpmabAMy/bUrF+yrv7NU8fh9lbmUMPiw9SqnYMLDr7lgtaIdtL6xupsm4/NDyF+wjkV5jDuxJLeU/CJZ7b27/YnyPauroHfjVTXApsKn4eGWOOAzustZ8DMDVvpzaXAl1pmf/JW0q5pskAioh+HuIgE4+OuskgCmCesul0tjHzTqidHd4mpUkbSHtz+9Mgd5SxqgFpRfpFaCjS5z5Lt1IxwjXfO+t6tBdcTYb53r6Kc+eJKnOZq2UnzLrrzcQ9yaUe2vHKXf1e5lIPcfLwP/gD0pnRGhbn60b73SjksE6bExrVLRtcH/OZoDbxz1zBbPxpOsYon5p+lZuIJ7kL7t+0qRe0+sf4vmexlo0CF9TZXmua7Qan0M1T8Qd4S9T6jAnJThq03Ek1yj1deZ0Ztjf/vGuAMWYE2AdUztPeYgp0pWUOve9gaXKCrh1z7jb6RAEeNJkeW7vLYD5PRW+ieQPYD7a50eUCMnm5XZenQe7eeEaFdDa3uIc27rHN984S5fKu6kFoKIY5V9TMm5wh7eFNg9/JhUHohSv4ZyL6S+kLNXt5wyrrjhkXqCdBbkQmkI2ezZPEwpnpQUOy1SeCeN23F7lehedwX3LjbmBa5gumygDADH/nVTDXvEib5IkqygdG5DnCPiYZ5Ax9fGHhGop/mHOB2TjZns7F0j/Ha6xfNNAdwf0uXlh98+AKf08DFs99XSwttZHU17DO+vGy15fX2Hcpf5CPk21XcndwpcImnCNWpIszNFCDvboXGWP8/No7rbV3lu9kjOkH/hz4NWtXNiXQcijQldb5VVyq+eVQHMkxszMHT4N9d+Wu9lowH6WiR9HciPvrOhmtOkwafB3D/WX7WJNH6Sc9IgHugykJ+EYsQ4UpRhljNycyEzmU0hHI1/3QKJ7MBrulEmJJr26cpxztyNNXmGc3YxXlhVyaAbXzXZPnAZVBbi1x2kippyD5mZPzfNN7Xu88GafLlrV8q86xtXqKRNanykG6m3mAa1w61PQgxY/n4Mu43+2ps65udfKZ1Uh91WXdOUmmv6mhzqaGBKy8okKOxYPdsMb6OcCvITVI9UC31vG1PFbjmGCJ5yl3cvFd2uSb1toD9XaIB4/9OfAncWmwtlOgKy1TvXRznf1f51IWgGxgFlL5wRAAV6cvzfvgj+vdWVtUPFNawk9bCFjSzD7JdMbRQn/VGrfFky6PdsvwtOv5jb95/MFgxTDn8vDiXtc8s6VqDcW5vsoUgCBejnvrwhr7BJRmRUtmaJveP8tEkk9XflziPNwfHTncB/gsEOVxX4J+MJtMlZGoF8imrFVQK1KeopSkQo0yxiSDbuUO4t/Tnsr89zJ2sgmNenud0mCyKrQp3XVJjEvC/TBw3Fr7u51qhwJdWVXs213KApDWaw29HUIyAW7Xjjm+r/AA0/sL3P8H8PLzm9SQwHsk18q51IE0VcF9AZUmxSDPCXYzxqjrefGrHfg/Q5JHG25nJq6fW5zrS/NpjwLjUJzIcejqq5jflU7kMPPg9uq9Nn5+23jZNj9nL8DNjEbEtrhHeohJF/Duh4lgNzxoavcWJ+9J8m9T6h0qD3YhHZi2OAW5IrXtZoxLeYKokOfQ1QfT38MklzRgNfXyiSQOAq8FjhpjjsTrfgPYBPxP4MXAXxljjlhrr2tVIxToyqpjPxinLCTCeJkEV3Gg27VjjrcU/idX8RCn2MbE+RdxiH5uWcnF86S9uX7aQpmI/lIuXXmQO/HU7orBdSVJ6a6AUsBbJOeej1NKxYhPDKHh+NX73GQQx+LZypLjk3b5zxPjVX4ucPnSufk43SLbLTzKGOyCCcqC3QjYHD9PZhYK42vM9kB0IbUnQF6cglyR+i7lCa7jXiYZYn5/H8eDvYDJzvQVdKZtIrVYax/EDWWu5tPtaocCXVmV7GfdpAEVKQwAE9B1pQty38wdjH5tgrmhLj7EL3OGzfxb3sXvcevyLlyespDwnkfk2cZ0OnlDeZA7XuP3Ogly/Z8puc44LshNBpgk+yS3KANTvRpCQGmwH7jyYiX+dbz9hwpTpV5cP7d4c5xrXDXY7cZ9Wox45x6Jl1XTFxJJr271oFdBrkiq1oQ5fcxz8GuHmLwozt/dBcfDfdmdjlU5MGxq80TWJAW6smrZh8AMkR3oELpHkmPaTwSTkKNIL2dZYBN5Il7NR0oTNiT1bO2uZSYxBZWrklnKkrJfpSD3mHeNJK/XrybxNNkvn8hb9xhxL6n3sybXj6j80gqrtC2IS7UFVfYv27d8kJu/vis3TzHIufbkAUvlp0VpsEYPTPm9utUC3mRdGvAqyBVpTD7+nMtf5P3Olk35TVD5+db5euSy2p2ju+0zkrabAl1Z1eykV3khMQwTnx/lgWuvYTdjHDz4ENMUOH3/Vmbp5zEuYZIhxhZ2xxMmxD2Tu+pcJ5kKOJn2N8SlLuyMn/dDMehj4qndTOYGmS4USlUXxhZ2M3Nse9qjEnrnSJYhaUAbko4OPukdMx4/T3qVR3DB5BXx6wfI9m4n88P7+bnVJn1IBG4xOT1IoTCdqW18xssznlwYpPhYLi1dlJznBSqD6yTYnY1nQqtZYSHZtlgFBpGNq1ppMXATSYwdHOYhruIU21wJwnGTGZRqb2pnS0XWDgW6surZz8YD1HZm19/36PVs2z/NFENMU6Cbbs6wmS8sXJMNcOtNUuBfx4K5gGwwl/SkDlOajawY5pg4OeoGboHrxQ3LThaWPfcfJ6vs5+8/El//cuAal6aR3xq5QuOf8fbzyoYVg77stcbj7X6ptLiHuTjXx9jCbvK9UXyafDqgbqHfBe3VBry94LXV7wy+PF73pYtxgexzpAHtBaS9uPUCYRHxq7AAnGB36fm9XFcqMzYzUchOBBMBCnRFqlKgK2uC/aArIVaexvCp6VdxojDKPH1cufAoLHS7ygRJryZUBqH1rvNcnC4RkvZm7iTb05uYqDHgzN8vJA0MQ9IBdX67ZknTHAJc7/UVwNWw5epnGO09QZ6Iw9fvZSbc7np2T5L26saD2krn8q/nB7pB2sSZiQLTu1ztsiTAjZ7Nu+oPSS6x//M8W9ZmSAfqBd6240mwWx7QKsgVaYR/G9mvqXsv15UqujBuXHWWx6qcQEQyFOjKmmHfgptBzVN8LMehkwchhCuf/SfX63iPt8MyUo/sJJiXeitCSukLgAsmj5CmIozgAtNqQrL5tf5yClz93ggYcOcfIU1bGLEM9U7Fk0bMMt1bYGbPdvcF90Wq1/kNyx5B3LY9QFzKLPH49CXkt0alSSpKvd/Jcb6kk8k/J5QGwwGud2kiSWF4jrQ31+/RhbTXV0R8fo9uRJ6xhbRH9/Cze7O/p4/hPocavGMlslEp0JU1xV4L5u74RUi2h9GfpnY8XgbxcqebjMK+vcHrfGWRHeLbhGaItFLCCGlg7d/aT9oYkPb2ziXPe1x+qx+o5uLluGFyeJBC73Qph7aitzUkm54Rku1lHQH2WLYMT5PvzX4jJl+ok1tdc4tBn+sZ9gP6xFTpoFQAW65/hqHeKVfuaNy4L9/jSXF5f8rQfNmbIiLlRhkrPY/Iu1kQY8XHctk7VXGBlfZPqCqytijQlbVnvMb680jzSAMqy3jlXfqDfUvzmmInvbzeObLTWAZVDtgZPyLSKSvHvXaOx8ujbjETbGds/yh5IiYeHXU9OGHZuatVZAhwZccunytVqEgGz5Xr651nulBw6Qu5fBrwBt55k0+KIF1uuf4Z9vUeYTcn6Ns1z6G9B127jw8ASbCbJ51xLvnSPo21N1Rti8hGNkg6jdlYPFNhZnbFkOzn30gbGiXrWpEuVV0QWXVC6hdHT35nQ2/dOKW0APPR5pbdsc+BMWdhosfdxh+JNySBb9LWncBer21JJ2eOtFc4aWtyTOBmK+vKzbuqDuV1dJNzhd76EUq9uEO9U/QxzxCTbGaeapKe3XxvRFSYTQPeuT5Ktb67gXPpNbuunGNf7xGu4YG0+sT1u5kZ3x736noBbqmX271WWTGR6gpxJZREKcgNvdJh1T4DRKQmBbqy9hzFBXNJFYYgXka4/9H+AKyQtJRXSGkAVdODXduDMaddb2ZI5cxlSZA7TGWtW39Q1zjZXpujACataRvWaECIe0+8XtwC06WpfvPM1qyb60980cd89YD3PNyj353/+woPcA0PcAVHGWWMfiJO9O7mvquvd4PlJnrSC/SXLoS1jc2WJrIR+XddotIvDtn8+TBeF7SpUSJrnAJdWXuS2/2QLTmW/G8eiZcB2dq1Qbw+ft70NIYqQZy5imw93qRMWdKmkLSHJocr1ZX0BI/ExyXtHomXgbcMyAb2pL1A8/SRJ+IMfRXT/S4mT5QJeOk9F7fBMlSYKtXcTa4zmzQi9E7Snzkltqy+vYjUt2V42g0WHYl7dvvLJoU42v42iaw1CnSlbYxJyiE8h7WvXvZ5SnV1q9nkbqsX5/rcl0KAC4p3Vt/dvBXsu5fdlEXZh+Ic3pO4smHj8YZqlRgSSXmxEeJKDHGEmEwtnOyf9ATjLWfdfhPsdl+SvW4U9yRDpfSF8qDX7zkqL1ifBLybehcA98Wb9DodYS95IubZzBijHF7Ym9bfLQ9yJxGRRYwxmrnzMtQ7RVRIf1+j4X5XTzvxdDtbJ7I2KdCV9rksHoAUuuBvJaOF7QddFYWMHHTnFri08AQAj+cuoZiMDhv39gu9ZehmXrOfXX5bFm1rksM72OMC3qCsHf6sbwFwDXGurysHlt8ake+dZTI36FIYJsjetvSfQynYnQm3MxOk55juLWRGdfsBr99Dm0hyeyPybOYML9DNUO9U5pjHuYSIPEfYG0/SUeXnV5Ar0pBTbOMU20qv3STmXjpDb57Dl3uVGO7JISL1KdCV9rk1XobusZRyX9XYt8eTSATAHkv3/QtsNmfSYK4Ak1sH3UxfAVQM2kqErkxYKwMyl8P7JEyNQD7OX/V7PXeQ1uO92gWnSbWEvngQWb4QuZ8nKKTTf5b1nJZi11nigNhQJMdMf46ZANjvNm9jutSTe6asF7eP+Uxu7zZO0cMC3XRTYDoTEJ9glFMUXG/uuMnmRKMgV2QppilkXm+Lg9zMXRhvl0P5g+1olqxjRboq7uStNwp0pX2Gy5azKx8Ulkwi0ZWb5zxzjvM4V6ou4AZWzTITWDeLGVTObhZSynVdaS/zom21F7v0jSieRCEaoVSZIMClIgxT6oFNJLcyKz6MyoPcREhlUB+4xwSjRHv6Ge09wW6vd7f8/LUGriXb/Pzc0pSkZWnASwlyW/2Hhsha4M+ElihPNfJ//wDMzWA/2fKmiaxZCnSlc/qpHaytwCkK/D3Xpyt2uYd5H2nw50/JC6WBXq3v2b3By1V2kynYyQE38URciqwY5JiZ6yPK5clv7SfqjasiLPS7gHLcpLmwvpDs4LZEnkzwO8N2xvYAvW7zfDwZRbSQ/mNM9xYyvclXcphzdDPGaGm/0pTB4Np0BDc4JlxikHsjGkEuApxgd90/MiGtklLe+ysi1SnQlc4JmneqJOA6w+ZskOuxb/EGsYVkbrGXKh6cbGfv4rew1k2sUJp2OIg3Ba6k2Ex/jhl/MNos2TJj/tS81QTxPn5t4QdhJtzO2NXxKZ7NVxw2M+d9iYaGK2afBGDi86Pper+jaRw3MOZkjXbUYN5JdpINkQ1sjNFMHj1QkTuf3HmZeHRUkw2KNECBrrSPn1MaQNeOJNJsTqTz/Lc38/Lz6+9jPxiX/IrbULr8iLcucEHnotMAr1AS5JZefyUOdpN2JFUVJrxqCyFpb3QY7ztHmoKx2MxsyXmOuZ7duvuA6zkeB5LSYA/W2P9p3EQRS2DurtNGkQ1ocnqQfCEbvfaVTfRSCnyP4e6eKG1BpC4FutI+IS7QDYDAenmoKwx04yoDiwW5CfuQ67VlhHQQmF9+LHTrWhHsGvNx14YaU+Dar8SBeEA6q1rgtSskOwFG8piilOPLSHxsGO+XHO8LcV+U/vmTP0KSwvRHccFrCPxL3KfFce8c/j9bWU+uucq9z7WYp2y2JmhYc1eRDaP4WI6okO3BLe/RLaUwxWlCIlKfAl1pG/s6N/jM3fI2RDn3Ad7NHOcKyw927U1uedddSzhm0gso/Xq0Yfx8rtpRK+Nyc0fi509W9OhCHIBD5cxqea+doXfAOC7I5azr6U1mJBtpoEERrifWn5ktOac/0UZYdlzyT+UfA5XBbo0UEHM3LsidZVnpDiLrVkAmV75cKc3omIFx9eaKNEKBrrSVfV06KKwY5kq9u+ZRsPvb3JaH4pzdgJbfQjfmSSDJb70QyGPMWaxNp8rN5ujGjxFcybGAivq/peezxLl6PaVe2aQusLnR2y85dzX+BBZPe893xMdtwn1aJK/94DjA9Yg/QBq0xscbk50RzbzVO/Zp4ItkaxyLbGRB5fSBfg59OvhTQa40xzm6K+4arDcKdKXt7FvigCfEBTzDbgYz83mw17a5LR+MA+9+XMAYkM42FDbnGsacJglunTi4zae9nqXc3ESACyp34tIRgngZkg2Gw/hxPA2Y/XQL+1mv57qW5Jyh99q3Azgf6MYF3cm1k3YFcRpCclx5z24c0GdSMpL9xuu0S2SD2TI8XbGuFNyCmz4cNCOayBIo0JWOsO+Oe1N3UsqJhZXX1V1WW+JavJlSZ2Fzzm0MwEB2ZR4vV7lGIJpMA7wHui5P8yiKQfylF3oD1JLBaFPVUwXsQ/E1Qm9l+fWqjQuM20ceF+SeR2Za4mRSC8DN2pYcnLSnVJUhwpi8myijBeXkRNaLfK/7pcmkL4ReLntSVjBsW5NE1jwFutIx9oOu2HmpNzFgdY3Cn118l4a06q5QEixfTllgWcU42fc2rLJPQOUAuOXYEV+vnzilIu9WRBdClL4ZftqGiFSKns1XTnAjIkuiQFc66zFcL2EIBC74bTfzPu9FUmngWJNmSUviOq+igX3OzcJWElC7t3XW3brsynklhvwenuTYHW5ZnhMLca/y4CLtDEjzb/3rVwvS4yoXxZE+Vw5pa+RuryapH5HXrnz8OpO6oSBXpJ6K2tbJH7Fhu1sisvYp0JXO8mb4anXd2mrMW+MnYbxsZpALFbfqk/Pa57wKCyHVla3P5Or5AlyaQ5x+4Ae7xpwFeqr39gZlz5NHvR7o0DsuNBTpc3GsH3yDC5rB9exGPSjIFVlczYoLIfVTj0SkJgW60lnRWTjemeAnU5EgWR6v7BFdkSA9d3n+rJ2Mg92gyv6+OKBMnifnq9j/8vRaLsAdp26dsZC0skMy8M1rb6ZN5TMwlQLnuG1hlWPm4mWpKoSCXJF6kp7cij9qxyv3NW91Yx1EVqJou+qWtFsPFOhKhz2KtVe2/aql3lRIg7aoyUGup9aUwlWD3ctxQedI2c7lvabl8qSzvM32xMFlRMVguGoC7xFSPeB9wVsXkAl2S+fw2xLgAuiTwHhPR3rsRdYiP1Wp6I8QDVDFBZElUqArHdWJIBdqB55Nv85SgrsAFxhe460Lk2WVIDcJNIOyc8Tlvay9OC5t1mD6Qi0h6RTAYeUxXTvmXDWI0GSmeCbEBexXICINuLTwRMW6x7mE4qwX7CrQFVkSBboiq0WAC3L34ILEaqWEat1hCrxl4OUC2wGXxhCxeO7tzirrwB27OX7+tHetuMxYfmsEWyOiXD7b++TV2XU9VCuc6llknRtlrGLd5NZBZvZ4qQwPLHJnR0QyFOiKrAYB8D3A1TC8f8zNZ39sOxyLt4+zeO9rvD2ZFS1hbU9cz7dMed5tNcmMaUlq7TguYB4B+l2B+6HeKTezzla3e1Lrtys3z6WFJ7wv75sbuKDIxrWbExXrxnpHye9Kb8dMlGZYFJFGKNAV6bQAl5e7F7bseYZRxoh684ztgZlwu+vZTablHYn3T2ZyK1NrcIq1XkkzP8ANa7QpJA1yQ2ArcA6XFhGk7cj3ztJHnE/YSynYHSpMMcoYuzmx7EC3NHteGF83aWtAZoY1TYUq60WBypnRCkynv2PAxM7R9PdTRBalQFdktRsnLaAQEgea1uXE+uXZblrkPFfHx49Tmd8beA+oDIDP4QajhbgSbPG+kzsGyRciIvJEC/1Ez+YpzvURLfQz3Vsg77aQJ+ImPsndDQa75n243N6j3s9c3qa4reYqN/ubyIawB/d7H7rfE/uWDrdH1rRzL3RX1m1eZxToinSY/Uo8HXKZig+fpJLBHsvwrhNMTg9SDHONz+B2PWmO7ZF4XYDrGS3/nAuo3WM0nj4tkuP48L7s9tD1RM8EBSaHB5nsTUtcdE/Pca5QP1fXvBW4gWzQnUxRHHhtTrbvAPPSztRhFmmmearXys57v4xdl8+5XPigTY0SWeMU6IqsAvaDYO52wW1U8KJOrwYtATAMw7tcOkC+EHF8bi8ca3BwStKjm5x+3DuvL/D2C731SY/uLC53OIwfV5DtGU7aPWGYGd/OoWA7BHEPdAjmD8G+vXoTzc3Aj7ov8/zWiBm2p9fx2xl4P0fgHmaofdU0RFohIp8JasEFuZH3l+ilhSdcJYbHNLhTpBEKdEVWCXsTdFem6DmBe3RdPlfKfc0TEe3KMxGOZlIYaikNcmO7O98DVPaUJrm/AbVTBpLv4Qngi6S5w0mPc1Umk/dbrQfWXIXrdd7jvswLTHN4z16Xp/w0pbJppd7c5FpR+tpc0MRZ7UTaLKpSGmUz85n1BaahgPsjFyjVsRZZZYwxfwS8Ejhlrd1Ttu3/A94NvNha+81WtkOBrsgqcq6Q4wDuFmZpdiS/57KWcAkXCbzlXJXt/WX7jeCqLmwC9savv4QLMI/jAt5hsjOsEW8fj5/PkfbMhsAslZUgvreyKfneWWagfmk0kXXiFNs63QSRZroLeD/wUX+lMWYn8EPA19vRCAW6IqvM2MJul587btKyYoHbVpzrYxo3yGuSISanB9MBZo0Ky5a+IF7fTzawTiaM+B5v3ZeqnDfpbQ3rnL+Kyl5YL+/32vhRI91BZL2IyLPZq7AAcIY+xhh1v+ux4skcdn+7WyeyNNbaLxhjRqps+j3gPwB/0Y52KNAVWWVmjm13T45V2RgaJhcG6eudZ5oCxZM516O61FJDIWkv6454XfmsZoG3/xncp8X3l50nCXbDsmPDsv1y3n5Bdl/l1YrUN/HUbnjQuwUyDijQlTXIGHMTcNJa+0+maoH35lOgK7LaVAtwg3gZwsxEgelds2lvbvJYRFL+q+EqDX7g+3Wg9xyX7T8MwHG/x/VL3r4h9SdAC8jk/irIFUlVG4wWkYe/NC6nPnES3eGQ5ih2pWlyS/ciY8wj3us7rbV31trZGNMH3Ab88HIvuBwKdEVWm/F4GdTYHhpXWuxkXFosXMY1kskgagm87Xss3d9aYJNZKBW0n9zzDDMT2702xcckvcNzVAa8uXh9fG6VAxPJeoSD3ER2BpSIPPw18GC6TgMuZZX4prX2wBL23w1cBCS9ucPAo8aY77bWPtOKBoICXZHVJ/KW5YOw4p7T4slc2pO7WNCanC6ezCFTriv0Hn5Pr/983HDu+V6e35SOCp+ZKLhte73rB3F7n8YFtMlAtyTgTV6HmuBBpJbyygvz9MEOBbey9llrj0I64tIYMw4cUNUFkY0m+Z6LqJ97u8Te3FJwPF62YY50IomRGtf5Npyjl7GF3W7duJdbdY3XjnFXExjicmEB2coOoYJckXrKA92IvKtVLbLGGGM+BrwCl+IwAbzDWvvhdrdDga7IahPESz/IjapsD71HtTJh5eJpQ6sGzyEu2PXP71/vnLtGqSc36fFNqjMMu/P7E0HYh7xgN76GglyR+spnR4sW+jULmqxJ1tqfXmT7SDvaoUBXZLXKk6YFhKS9raG39ILWRafBDcn25vo5tHPetpDshAwhblY0SGdhiwPcrh0uwi7O9WH3V46gLQW7KMgVacTkwmDlyqDtzRBZNxToiqxWfu5tQCY9IPM6pBScmquqB5Tmnd4L/5yQ9gYnwe6It29AVnJsf3a13VW7TIwCXJHGRc9WmR2lv3KVSFOcw03Pvo51dboBIlLm6fgReuuCeBl625/GBaYnyQSv5sbs6cxb4ycRaXpCcs6RsmsntXWTnuKQtEf3Be86cerCCsrSiEijgk43QGTtUo+uyGozTvaLbSfZQDdZhmSDXI+5GewnvSA3CZzLz5uc66R37SSlIV+2fxLohrgAOU5fULAr0jz6fRJpLgW6IqtNEnQGZHtdQ7KBbo0gNwlUzRu8fefIpizsLDtvcq4JsjOXBfF6i7vFNeWtC3C3vIJkfmAREZHVRYGuyGrjz4wWlD2PqExXKN/PF3r7JvtX2zcHHAGiszDek+6XpAueI5u6kI+fx7265vNgr63RBhFZsWRQZzXKgxepTYGuyCpjnwMzFL8ISFMZ/Jzcce+AgGxaQjIrWUi27NgsldMLB8BR4DFg6izW9mAuiLeFuJ7fCOip0+B4IIP5KNjX1dlPRBZXa2DQDu95I+UERQRQoCuyKtlJL9iFNMe2PMiFyvSFoMoJk30iXLAbApfH6x4DjrsgF+JA+6W4L1a/5u4LVJrNXs+8M1tLV0SaxJ804umae4kszTmWN438GqJAV2SVKgW7QbwipDLIbUQYLyOAsxD1wHFvuxfklq79FTegrXT8i2ucN6Bi+mDzhnR2NBFZorDG+hHveb0ZE0UkQ4GurDvmRlxvZEA66Kp/beaQZoLdsMoOs1XWQXYyiIwe4Kx7ejzuwbXV8xLsJ70BbY0I06elILnsfCKyTMPe8/FONUJk7VGgK+uO/WwcaAXxihDoB/OUrTuxwWplJxvbr5RbC5XTBM8CnIV8D/R7gW2tQLmcn7YQkq3IANmBbgHZOsDxMil5JiJ1jDRQxeRBoxQhkQYp0JV1qVRDNiSTQ9o9Pce5Qs3uzjXNPkd2IFmynAWiND2h3ujtCsl5tsbLubL15ftB+n7ncQFvkG5SWoNIfVuGp+tuj57NU6x9y0ZEynR0ZjRjzCuMMTPGmCPx4+3etuuNMY8bY8aMMbd2sp2yNtl3x09CSj2X+a0ROxnrUItazz6H+1nHSXtzo2x6gn0Il9qRPBpxjnTQQrVHIsDdYt2DSxnZSYUlpUOIbDD53tm6j6HCVKebKLKmrIYe3Qesta/0VxhjuoE7gB/ClbD/R2PM3dbar3SigbJ22beDeV/8IjQwDHkiDvBFHuFgR9vWKpme3SmwVe6Elnq885XbMvwyRn4d3cBbJs9HcEFuaQIJL02kbPCMeav3h4iIlBSo36ML8PTbR9vQEtkQztF4CtsaZWy1b8F2XdyYVwD/X5VA93uB/2ytvS5+/esA1tr/Vu98F110kX3HO97RmsY20TPPPAPA9u3bO9yS9UXva9b9D7rly6+usf3/xU/Owct31djnqFtu3/wMWHjmm/F7ez7uz+RN8eO8eF13vHwhfjwPfNtdo1yta24k+j/bOmvtvX3/+9/PI488wgG+WHe/efr4Cvva1CpZK4wxh6y1B5Z83OgBy+8+sryL/tjyrtluq6FH93uNMf8ETOKC3sdwN1T9SoETwJXVDjbGvBF4I8CFF17Y4qaKrD33P1gZ7N7/BC5ABeiG+5+qHni+/Aq4/x9xwWsyDTC4IPY8bwkuoD0/XoILcl+gFEjf/0STfiCRdeK+++7j/vvvB6BYLAIwtrC75v7Rs/l1O8ZApFU63aN7AVC01s4aY24E3mutvdgYczNwnbX2F+L9Xgt8t7X239Q734EDB+wjjyzzL5M2uuuuuwC45ZZbOtqO9Ubva1ZmwgnS6g2lihTl+bNR7XSCn33TXQDc9bFb3Irh+BxJGbcAlwYR4FIYwvjxdPacftkxVWDQ/9lWWmvv7YEDB3jkkUcwT9X4Tg4NTIC9qb3t+v+3d/dRctX3fcffXy1sjFYTVpiy6MkRwtgG5BoUGScGAiZ2jE0Lbk5t46bBOG2cplDipklL6hOScuoc4jw0cUOTgx0sfJL4IWlSKzF+aGxM/JA2YEGNgTqRiWKExCoGVqy0FKHdb/+4d3dnV7PaB83jnffrnDkz997fzHz3ah4++s3v/q56gz26C2v7wWgRccP0wWfAmsw8BJCZdwMnR8TpFD249V/DGyl6fCWtUKwv5xiGxmdPoxy328Bl38/c4Qdj5XX9LAzjzJ7UYoxjQi6U4fYwnsJUWsg3AvY0uOwFHux0cVLvaXvQzczbM/OCzLwAmIqIAIiIi8p6ngLuA86JiLMiYhC4FtjZ7lqlShleWrMFw+4lwPgLsweWjTW4LsNu3rRw73DeXbSZCd2SZu2hOE33/MuDwP/qWFVSz+r0GN1/CvxkRBwFngOuzWIsxdGIuBH4LMXhLXeWY3clLVGjE03EaznOWdPq2t1KwwnpM08mguIo3WGKcDvE3PmKl3F6Uk8iIc0ztsJtkhrqaNDNzN8CfmuBbXcDd7e3Iqna8qvlONkx5k4tVt9LO1zcXDjsltOXTbc9zGx4rrv/Uhl2pSVYxn8gpSWbnh+9wjp6wghJ7bdgqBzjmBNAxK0LPMazdfeBIuyONWy6uGFPIiEtavpgT0nLYtCV+tCc0/BOH0Q2xmxgXULv0czQiLF5G+YvL0WDM6hJfWl4gctmYAPEebMXSYvr9BhdSR0Q5wFXlQtjzITcXOZgoXykHPdbb3gZDzBcXhY4qYXUd7YusH64vH6ivB5reSVSJRh0pT4T8TSsO604unuY4gvziWL87krkV8sZFIZZXsgdKttfCqvOrx/oK/WvUy95csFtB4dH4KEoZjbxCBZpSQy6Uh+JeB/wNjh02ux8tmMrD7nT8u66cba14zYtDJeXVwJbkwtHHgQuPrEipAp46eC3Ftw2sWU/j266cGnvMUmAQVfqQ08XY3D3AMMnHnKn5QcXnoP3GEOUIRfO3fIgZ7Mbg65E+V5Y2KNbLyxOHiE1g7MuSKqSzPcCTwMvtOYJNgGbIT6ycJOZUxBvhlUbDrOaCQDezl2tqUmqmLyu0xVIvcOgK/Wd0+YsNesMZfEBiiPDNxaXRmE3fpwi5G4C1hy7/TweaE4xUlUd6nQBUm8x6Ep96eQ5B4/FW0/s0eaE3M1ZXOaF3fhZjpkyqbb22HnM4rE8sWKkKtvT6QKk3mLQlfpM5muKG8PlinKyg5WetCE+wmzIHU5O3TjKqqGJ2bC7swzCm+ouw7P3rzWYtPd4Qx+kvvZ4pwuQeosHo0kVdbxT62bWBdvh8rpWngmt/nTAY8XN688trt/1s8we8T1cXspe3FVDE6wf2V881Mgh9o2uY2rzatgTRRAeq3uuNcX43NrgAr/DDhc9wPkrS/pTpcqoOTZBaiqDrlRVw0VwzVuO3RS3Usx60OA+M0fgbqq7PT2aoEHIXXX+YWprx6kNHqLG+MzBZYwwN+zWj8kdLq72ja6DkdnV+46sm23r2dKkY13a6QJUKX0w64JBV6qqMWBTMQyg/ijt2AlcwGzwnN+BNMzcUHoIeKi8Pclsr2wZcteP7J8JuPXDECZYzfrpsDtcjo8YLhLzqqGJmXb1YffgN86cfd7NS/5Lpb5x6pVPAmcu2k5SwaArVd0wxC7IbcU1Wxc42GssyvazYbS2dpzxZ2rwbeB54OSy7dYi5L585K8ZYXQm4J7CxDEPW1u7Zs4o3OkD0MafmZ31ft/oOqYOr57bs9BgVgap3/3A4JeAEzx6VOojBl2pqg5TjLcdAzbCwOhhVm1oPNMBwPhQETzrhyEAMLKfgaEjTDIILykbb07Wj+xnhFHOYHTmMerHFz7HasapFeNw184+z8y43LWzYXfqiaHK/3wmNcMZHDjuiVkc165uEREvBz5et2oLcEtm/kY76zDoShUUbwU2MHtA2RhMDa8GZo81m9+zOnW42H7w8GrGh2rU1q6hNniI8SNrmHx+EI4CeyBvAgjgpeVlCQYXWDc9PnekwXZJjdWPn5e6VGZ+k2KgHBExADwB/Em76zDoShUTtzI7ywEU42vHgEPF0ISpNcV42YPT42bHmB2nuwcYhimGOMgQB4fL7aPA85C/1NLSpb53gDMWb7SZObOiSD3gB4FvZebftfuJDbpShcROZr8Ea8zOufk4RVdujdmDyaavx8rLOI2/PA8DZ8Flr25+vZLmGqe2eKON5fVwKytRX5iEBlOZL9XpEXF/3fIdmXnHAm2vBT664mc6AQZdqSJiFw2n8JoJu3vq1g/XrR8rL0/UtamfiWH8BS77cPPqlLSwpQTdU7c+yUHOtEdXnfadzNy+WKOIGASuBn6u9SUdy6ArdZl4M3A+xTy3WzlmFoT6kyyMH1nD+DO1cnxtOWvCdNgdq3vQhzk26G4ol6cD7n6Ap4GnyutiOfNN7NjRhD9M0qImWL1om9rgIQ4O5+xMKVJ3exOwKzNHF23ZAgZdqdt8H8Xw/a3F6XTHn6kxOTJE7Bzi4Jpy3Oz0l9wYRe/rGMcMQcgPruTJTysvkjphnFrD02LXqzHOqqEJpg4NkVe3qTBp5d5Bh4YtgEFX6j7/qPhpcmbGg5HioLG8ujzQbBhmem/HmDu29nBxnV9tb8mSmmPvrpdy7rYHFm23fmQ/e/cscdYTqUMiYjXwBuAnOlWDQVfqMhu37abGOOPUGBucewakvKWcOmxaGWxnLocgn21ToZKa78vAtsWb1Rh3jK66XmZOAC/uZA0GXanLTP9s+fgCc9TmH0KsLxcOAeMvUHTrPkXmOe0oUVKrfAa4aYltH1+8idTvDLpSl3mECxdtk/vql07GsbVSRXwZvjn6siU1Xdk4fKnOJJX/ZcCgK0lSl8hnIT4ytHi769pQjFQBBl1JkrrJny6hjUFXWhKDriRJ3eSPOl2AVB0GXUmSukhmpyuQqmNVpwuQJEmSWsEeXUmSpH7UB7Mu2KMrSZKkSjLoSpIkqZIMupIkSaokg64kSZIqyaArSZKkSnLWBUmSpH40CRzudBGtZY+uJEmSKsmgK0mSpEoy6EqSJKmSHKMr9YDtfGXmdo1xAMapsfvI2RzcOwJ7gryiU9VJaqbX8ZkltbuHK1tcidT7DLpSD5hgNQCrmWCc2px1ABzqRFWSWmH6PS7pxBl0pR7wCBcSu4DhnF05FrAX2AN5U4cKk9R0X3vstUtruKW1dagPTAJjnS6itQy6Uo/IbRAfiNkVY8DjkB/sVEWSWuLPYvE2AP4HV1qUQVfqIXkTxJvLhTHIr3ayGkmtMOd9fjwGXWlRBl2px+TdEAGZi7eV1KMeXLxJrIfc1/JKpJ5m0JV6kCFXqriLO12AVA0GXUmSus2lnS5AqgaDriRJ3eaSThcgVYNBV5KkLnPq1ieX2PLMltahinN6MUmS1G7rB/cDnjxCOlEGXUmSuswIo0tqF48luWWJ8+5KfcigK0lSlzljiUF338ZRHL4gLcygK1VEfAS4JDl3y4O8kq+zntmfPsdZw3Osnlmuvwa437mMpK4y/f6dft8upDZ4qB3lSD1rVacLkNQ8q4YmWM0ENZb35bedr8xcJPWOGuPErZ2uQupe9uhKFZHXQewc4oHXXAAjsJ7ZUybNP6BlenmUEaD4spTUPRr98rKQvKXV1aiynHVBUi/JqyG+MMTutWfDYLFufoitD7n7RtcVbdaumW0w2JZSJR3HOGsWbyRpUQZdqWLyCohdZ/LAhhrrR/Y3bDMdcqeeGALg4OG6cYBb2lGlpOM5UP7a4vRi0olxjK5UQbkNph4eYu9jZ7P7yNlMlAe0TLB6bsjdS3HZE7MXSR1XHERqyFXviogrI+KbEbE7Im7uVB326EoVlVcABMXUQ/OmHxopL9vaXZWkpXAmFPWyiBgAbgfeQNGdcl9E7MzMR9pdiz26kiRJaqaLgN2Z+VhmHgE+BlzTiULs0ZUkSepHk7DM2SjrnR4R99ct35GZd5S3NwCP123bC7xmxc90Agy6kiRJWq7vZOb2BbY1OuAjW1nMQhy6IEmSpGbaC2yqW94IdZO7t5FBV5IkSc10H3BORJwVEYPAtcDOThTi0AVJkiQ1TWYejYgbgc8CA8CdmflwJ2ox6EqSJKmpMvNu4O5O12HQlSRJ6kdTMO8s8ZXjGF1JkiRVkkFXkiRJlWTQlSRJUiUZdCVJklRJBl1JkiRVkkFXkiRJleT0YpIkSX0pgRc6XURLGXQlLWgTuwG4iucYYJL38wAA49TYN7qOqSeGijOaA6yZvV9e0fxa4gOQNzX/caVutZ2vLKv9/Vzcokqk3mXQldRQPJacunENtcFDDbevH9nP+No1HBwembN+1dAEMNTcWnYCWyG+0JoQLXWjWtVn8pfaoC1BNyJeAXwY2Aa8NzN/tW7blcBvUpwL+UOZeVu5/jTg48BmYA/wtsx8ph31Sv1uOlgCjB8pumonGTimXW3wELUtjYLwS5tXyy5ga5YBGgZGYXKkuUFa6kYGXenEtatH92ngJuAt9SsjYgC4HXgDxQ+g90XEzsx8BLgZ+Hxm3hYRN5fL/6FN9Up9K24FLgDGAjYW647mACfFJOPU5rStMc5qJho8SnOC7sDoYU7dOj7Tqzz9xX8e8AgXNuU5pG51BgeW1f7t3MXHeWeLqpF6U1uCbmYeAA5ExFXzNl0E7M7MxwAi4mPANcAj5fXlZbu7gC9i0JVaKt4KvBIYAzbC+DOzwfZozvbo1hhnhFFqjHNKw6B74mMFN7Gbl4/MBunpkDt9fTW72clbT/h5pG613B5de4ClY3V6jO4G4PG65b3Aa8rbI5m5HyAz90fEGYs92FNPPcWOHTuaXmSzPfnkkwA9UWsvcb+euOvPAo4C+4FngcFJAP7BU09BwBs//AVOiklO5ggnUVw3soMdy3reew9RfBqtmmTg5ElOikneUj72SUwyQFHHqvIaYIBJfp5bj3msowwwyQBT5fURBnl1/ZFyXcTXbOtUYd+uJLj+S27nQ9zQgmpUTZNQ8f8gdTroRoN1uawHiHg38G6AF7/4xc2oSepbl503f80A944BU8VbdfLwIJMnwdHvKoYyHGFwTvicajCOd0mOMufTaIBJTiofd4DJYwJuffhtNHZ49mGLsHvvIbisO7Ou+tgXv/hF7r33XgCmpqaO2d54WNDxrWffCdclVUnLgm5E3AD8eLn45sxs9O7bC2yqW94IM+/S0YhYV/bmroPGg5Uy8w7gDoDt27fn9ddf34zyW2q6h6EXau0l7tfWuB541y/vAGDHS64vVq4BhmHVhsNz2k4dXg1jQW5b3nO86wvA5uKAs/Uj+xlhdOYL+5SZoQuz43RrTPCicv0Eq2fGDo9TY5w1PFeuG2WEfUfWcfDLZ7Lj05C/sry6Ws3XbOv0wr6tr2379u3HbHcognTiWhZ0M/N2igPNjuc+4JyIOAt4ArgW+Gfltp3AO4HbyutPtqhUSYu4bATufQx4sFwxXFym9g4VofcQxbheKOZIWWbQLe4fMDQdZIsv+FOYmBdwizG7RZwt2uxnfV3QbRBy947MzPUb50E+sty/XuqMNSsIuiu5j1Rl7Zpe7EzgfuC7gamIeA9wXmY+GxE3Ap+lmF7szsx8uLzbbcAnIuJfAN8GjzqROumyLbDjU+XCcHkBqFEM8RorL4dZsdra2QPO6g9yq+/Zmg65q3luZnl+r+4oI0UsfqZWBOgxigA+BhFPk3nayouU2mT6NS5p5do168KTzExUdMy2u4G7G6x/CvjBFpcmaRnyD1v0uFcXc/ceHB6BjbB6cGKmB7fooS0G2NbKtfXTmo0ywj7WcaAMt6OMMH5kTdGTuyeKE0xso5jgEABDrnrDARY9BvsY86cAlPpdpw9GkyRgOuwGB8fOZPfW8mQUZU/u6ga9u9PX+1g/E27Hn6kV44T3BOyFvK79f4fULH/BpZ0uQZU3CTzV6SJayqArqWvk1RAfgYOcycHhYgKW6TOiTQ9rmDY9x+/0AXCMMTtWeA/kLe2qWmqNh/iHnS5B6nkGXUldJa8rwi7DxZRmU2uK0/0epO60v9NnHR6ru8DMWOH8YOvrlFrt0V0rPPvfcg8GlSrMoCup6zjkQGLZ0/RJOtaqThcgSZIktYJBV5IkSZXk0AVJkqS+dBR4utNFtJQ9upIkSaokg64kSZIqyaArSZKkSjLoSpIkqZIMupIkSaokg64kSZIqyenFJEmS+pLTi0mSJEk9yR5dSZIktU1EfBx4ebk4DIxl5gWteC6DriRJktomM98+fTsifg042KrnMuhKkiSp7SIigLcBV7TqORyjK0mSpE64FBjNzL9p1RPYoytJktSXpoBnV3rn0yPi/rrlOzLzjumFiPhz4MwG93tvZn6yvP0O4KMrLWApDLqSJElaru9k5vaFNmbm649354g4Cfhh4HubXVg9hy5IkiSp3V4P/N/M3NvKJzHoSpIkqd2upcXDFsChC5IkSWqzzLy+Hc9jj64kSZIqyR5dSZKkvnQUeLrTRbSUPbqSJEmqJIOuJEmSKsmgK0mSpEoy6EqSJKmSDLqSJEmqJIOuJEmSKsnpxSRJkvqS04tJkiRJPcmgK0mSpEoy6EqSJKmSDLqSJEmqJIOuJEmSKikys9M1NE1E/D3wd52uY4lOB77T6SIqyP3aOu7b1nC/tk4v7dttwK5OF1Gn2/ad9RzfyzOzttw7RcRnKP6WlfhOZl65wvu2TaWCbi+JiPszc3un66ga92vruG9bw/3aOr20b7utVus5PuvpHQ5dkCRJUiUZdCVJklRJBt3OuaPTBVSU+7V13Let4X5tnV7at91Wq/Ucn/X0CMfoSpIkqZLs0ZUkSVIlGXRbJCJeERF/GRHPR8TPzNt2ZUR8MyJ2R8TNdetPi4j/GRF/U16vbX/lvSUiLo+IgxHxYHm5pW5bw/2s5XE/NldE7ImIh8rX6/3lOt/7KxARd0bEgYj4Rt26BfdlRPxc+Tr+ZkS8sTNVz9WN769Gr9E2P/+y/l07VM8vRsQTdd89b25TLZsi4p6IeDQiHo6InyrX+xmyAINu6zwN3AT8av3KiBgAbgfeBJwHvCMizis33wx8PjPPAT5fLmtxX8rMC8rLrbDoftYSuR9b5nXl63V6OiDf+yuzA5g/j2fDfVm+bq8Fzi/v89/K13fHdPn7a/5rtJ12sMR/1w7WA/Bf6r577m5TLUeBf5eZ5wLfB9xQvmb8DFmAQbdFMvNAZt4HvDBv00XA7sx8LDOPAB8Drim3XQPcVd6+C3hLO2qtqOPtZy2d+7E9fO+vQGb+BUWnQr2F9uU1wMcy8/nM/FtgN8Xru5N8fzWwzH/XTtXTEZm5PzN3lbfHgUeBDfgZsiCDbvttAB6vW95brgMYycz9ULyYgTPaXFuv+v6I+D8R8emIOL9cd7z9rKVzPzZfAp+LiK9FxLvLdb73m2ehfdmNr+VurAkav0Y7rRvfIzdGxNfLoQ1tHyoQEZuBC4H/TXfun65g0G2/aLDOqS9WbhfwPZn5KuC/Av+jXO9+bg73Y/NdnJnbKH6uviEifqDTBfWJbnwtd2NN4Gt0KX4bOBu4ANgP/Fo7nzwi1gD/HXhPZj7bzufuNQbdJoqIG+oGpq9foNleYFPd8kZgX3l7NCLWlY+1DjjQump7V/1+BtZk5iGAcozUyRFxOsffz1o692OTZea+8voA8CcUP1/73m+ehfZlN76Wu7GmhV6jndZV75HMHM3MycycAj5IG/dRRJxMEXJ/PzP/uFzdVfunmxh0mygzb68bmL7Qh9V9wDkRcVZEDFIcHLGz3LYTeGd5+53AJ1tbcW+q38/AVEQEQERcRPGaforj72ctnfuxiSJiKCJq07eBHwK+ge/9ZlpoX+4Ero2I74qIs4BzgL/qQH31uu79dZzXaKd11XtkOlSW/glt2kfl993vAo9m5q/Xbeqq/dNNPGFEi0TEmcD9wHcDU8Ah4LzMfLachuQ3gAHgzsx8X3mfFwOfAF4CfBt4a2Z2xQD4bhURNwI/SXEk6nPAT2fmV8ttDfezlsf92DwRsYWihwzgJOAPMvN9vvdXJiI+ClwOnA6MAr9AMXyp4b6MiPcCP0bxefGezPx0+6ueq9veXwu9Rttcw7L+XTtUz+UUwxYS2AP8xPQY2RbXcgnwJeAhimwB8B8pxun6GdKAQVeSJEmV5NAFSZIkVZJBV5IkSZVk0JUkSVIlGXQlSZJUSQZdSZIkVZJBV5IkSZVk0JU0R0ScEhH3RsRARFweEX92Ao/1sYg4p5n1SaquiPijci5fIuLQCTzOjRHxruZVpl5l0JU0348Bf5yZk014rN8G/n0THkdSxUXE+cBAZj7WhIe7E7ipCY+jHmfQlfpERLw6Ir4eES8qT/P5cERsbdD0R2hw+sjy/g9ExJaI+MWIuCsiPhcReyLihyPi/RHxUER8pjwXOxRn8Hl9RJzUyr9NUneLiH8VEQ+Wl7+NiHsaNFvos+f0iPjLiLiq/JXp3oj4RET8dUTcFhE/EhF/VX7+nA2QmRPAnvLU8OpjBl2pT2TmfRTnQ//PwPuB38vMOednj4hBYEtm7pm3/rXA7wDX1PW2nA1cBVwD/B5wT2a+kuJUzFeVzzkF7AZe1aI/S1IPyMzfycwLgFcDe4Ffb9DsYuBr9SsiYgT4FHBLZn6qXP0q4KeAVwI/CrwsMy8CPgT8m7q73w9c2sQ/Qz3IXhapv9wK3Af8Pxr/rHc6MDZv3bnAHcAPZea+uvWfzswXIuIhYAD4TLn+IWBzXbsDwHrmfYFJ6ku/CXwhM/+0wbZ1wN/XLZ8MfB64ITPvrVt/X2buB4iIbwGfK9c/BLyurt0B4BXNKly9yR5dqb+cBqwBasCLGmx/rsH6/RTB+MJ565+HmV7bFzIzy/VTzP1P9IvKx5XUxyLieuB7gP+0QJP5nz9HKf6D/MZ57Z6vuz1Vt+xnj45h0JX6yx3AzwO/D/zy/I2Z+QwwEBH1XzZjFEMRfikiLl/Bc74MeHgF95NUERHxvcDPAP+8/M9xI48CL61bToqDY18RETev4GlfBnxj0VaqNIOu1Cci4jrgaGb+AXAb8OqIuKJB088Bl9SvyMxR4B8Dt0fEa5bxnCPAc9M/M0rqWzdS/KJ0T3lA2ocatPkUcHn9inL2l2uB10XEv17mc14M/PkKalWFxOyvjZIEEXEh8NOZ+aNNeKx/Czybmb974pVJqrKIOAW4B7j4RKc3bObnmHqbPbqS5sjMByh6XQaa8HBjwF1NeBxJFZeZzwG/AGxowsOdTjFMS33OHl1JkiRVkj26kiRJqiSDriRJkirJoCtJkqRKMuhKkiSpkgy6kiRJqqT/D2BAAItFivs5AAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 720x720 with 4 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Plot MAXCAPPI\n",
"wrl.vis.plot_max_plan_and_vert(trgx, trgy, trgz, vol_zh, unit=\"dBZH\",\n",
"cmap=\"jet\", levels=range(-10, 60))\n",
"\n",
"#For real CAPPI you would just need to plot the single wanted height layer."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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