From df71dd15fa573f2ae74157cb1b1345bf3bfdd38e Mon Sep 17 00:00:00 2001
From: Danilo Ferreira de Lima <danilo.enoque.ferreira.de.lima@xfel.de>
Date: Tue, 20 Feb 2024 16:34:29 +0100
Subject: [PATCH] Added run comparison tool.
---
.../Virtual spectrometer SCS Grating.ipynb | 619 +++++++-
.../Virtual spectrometer SCS Viking.ipynb | 1251 ++++++-----------
2 files changed, 941 insertions(+), 929 deletions(-)
diff --git a/notebook/Virtual spectrometer SCS Grating.ipynb b/notebook/Virtual spectrometer SCS Grating.ipynb
index ba7cae3..d1e0121 100644
--- a/notebook/Virtual spectrometer SCS Grating.ipynb
+++ b/notebook/Virtual spectrometer SCS Grating.ipynb
@@ -38,7 +38,7 @@
"outputs": [],
"source": [
"import sys\n",
- "# replace this \n",
+ "# replace this\n",
"sys.path.append('/home/danilo/scratch/karabo/devices/pes_to_spec')"
]
},
@@ -81,7 +81,7 @@
},
{
"cell_type": "code",
- "execution_count": 94,
+ "execution_count": 3,
"id": "95da5231-e454-4f7f-a1ce-eef7e52fe457",
"metadata": {},
"outputs": [],
@@ -108,7 +108,7 @@
},
{
"cell_type": "code",
- "execution_count": 95,
+ "execution_count": 4,
"id": "fd8dacae-c22e-4c20-9df9-8720a2814320",
"metadata": {},
"outputs": [],
@@ -119,7 +119,7 @@
},
{
"cell_type": "code",
- "execution_count": 96,
+ "execution_count": 5,
"id": "25000b87-246d-467b-b770-8cde527faec4",
"metadata": {},
"outputs": [
@@ -154,7 +154,7 @@
},
{
"cell_type": "code",
- "execution_count": 97,
+ "execution_count": 6,
"id": "294b5f3a-1d59-444e-80ab-4834d26d62dc",
"metadata": {},
"outputs": [],
@@ -167,7 +167,7 @@
},
{
"cell_type": "code",
- "execution_count": 98,
+ "execution_count": 7,
"id": "b477bf49-f5ca-4df0-b6ed-a270ee35cd28",
"metadata": {},
"outputs": [],
@@ -177,7 +177,7 @@
},
{
"cell_type": "code",
- "execution_count": 99,
+ "execution_count": 8,
"id": "a843e981-e57e-4163-a4e0-310de7181aec",
"metadata": {},
"outputs": [
@@ -569,86 +569,86 @@
" bunchPatternTable (trainId, pulse_slot) uint32 2146089 0 ... 16777216\n",
" XTD10_SA3 (trainId, sa3_pId) float32 1.217e+03 ... 1.489e+03\n",
"Attributes:\n",
- " runFolder: /gpfs/exfel/exp/SA3/202330/p900331/raw/r0069</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-c0d8f1a0-ed73-44cb-b5f3-bb70d3f7ae4a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c0d8f1a0-ed73-44cb-b5f3-bb70d3f7ae4a' 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'>trainId</span>: 7165</li><li><span>PESsampleId</span>: 40000</li><li><span>gratingEnergy</span>: 1800</li><li><span>pulse_slot</span>: 2700</li><li><span class='xr-has-index'>sa3_pId</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5d194e5e-8ecd-478d-9dbe-4d7477264d53' class='xr-section-summary-in' type='checkbox' checked><label for='section-5d194e5e-8ecd-478d-9dbe-4d7477264d53' class='xr-section-summary' >Coordinates: <span>(2)</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'>trainId</span></div><div class='xr-var-dims'>(trainId)</div><div class='xr-var-dtype'>uint64</div><div class='xr-var-preview xr-preview'>1724088331 ... 1724098301</div><input id='attrs-e9370e29-22ae-4ca9-b2e8-6a009e19e08e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9370e29-22ae-4ca9-b2e8-6a009e19e08e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c01674f7-8907-4f18-b023-154637c3da5e' class='xr-var-data-in' type='checkbox'><label for='data-c01674f7-8907-4f18-b023-154637c3da5e' 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([1724088331, 1724088332, 1724088333, ..., 1724098299, 1724098300,\n",
- " 1724098301], dtype=uint64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sa3_pId</span></div><div class='xr-var-dims'>(sa3_pId)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1326</div><input id='attrs-d392100b-e682-4fea-ac1f-4f968853c198' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d392100b-e682-4fea-ac1f-4f968853c198' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a587bd2-ad39-498b-84f1-f903196d60c5' class='xr-var-data-in' type='checkbox'><label for='data-0a587bd2-ad39-498b-84f1-f903196d60c5' 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([1326])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-630922cc-893b-4e0e-afd2-59b14956e040' class='xr-section-summary-in' type='checkbox' ><label for='section-630922cc-893b-4e0e-afd2-59b14956e040' class='xr-section-summary' >Data variables: <span>(16)</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>PES_S_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-1 0 -2 0 -2 2 -2 ... 2 4 -1 1 1 1</div><input id='attrs-1b160e67-1142-4928-9646-5cae518e3e86' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1b160e67-1142-4928-9646-5cae518e3e86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f17bd3c-d3a9-44aa-8ae0-cfac5c3bbfe8' class='xr-var-data-in' type='checkbox'><label for='data-8f17bd3c-d3a9-44aa-8ae0-cfac5c3bbfe8' 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([[-1, 0, -2, ..., 1, -4, -1],\n",
+ " runFolder: /gpfs/exfel/exp/SA3/202330/p900331/raw/r0069</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-ce2f99e1-96ed-49c4-9bdf-6443016666a8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ce2f99e1-96ed-49c4-9bdf-6443016666a8' 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'>trainId</span>: 7165</li><li><span>PESsampleId</span>: 40000</li><li><span>gratingEnergy</span>: 1800</li><li><span>pulse_slot</span>: 2700</li><li><span class='xr-has-index'>sa3_pId</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-77f8c769-e25a-44d8-a672-27ae04292e7e' class='xr-section-summary-in' type='checkbox' checked><label for='section-77f8c769-e25a-44d8-a672-27ae04292e7e' class='xr-section-summary' >Coordinates: <span>(2)</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'>trainId</span></div><div class='xr-var-dims'>(trainId)</div><div class='xr-var-dtype'>uint64</div><div class='xr-var-preview xr-preview'>1724088331 ... 1724098301</div><input id='attrs-8be279b8-204d-427f-b568-aee9dba6e18c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8be279b8-204d-427f-b568-aee9dba6e18c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de89f66f-4c9c-40c3-b7da-cb3160960477' class='xr-var-data-in' type='checkbox'><label for='data-de89f66f-4c9c-40c3-b7da-cb3160960477' 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([1724088331, 1724088332, 1724088333, ..., 1724098299, 1724098300,\n",
+ " 1724098301], dtype=uint64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sa3_pId</span></div><div class='xr-var-dims'>(sa3_pId)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1326</div><input id='attrs-7d3757a1-5c70-4902-996c-c8c74d06d2d1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d3757a1-5c70-4902-996c-c8c74d06d2d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57c736a5-89f0-42d5-9fd3-2926a570380d' class='xr-var-data-in' type='checkbox'><label for='data-57c736a5-89f0-42d5-9fd3-2926a570380d' 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([1326])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-38ed2ad3-b662-42e6-8ef3-5e3a850b78ec' class='xr-section-summary-in' type='checkbox' ><label for='section-38ed2ad3-b662-42e6-8ef3-5e3a850b78ec' class='xr-section-summary' >Data variables: <span>(16)</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>PES_S_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-1 0 -2 0 -2 2 -2 ... 2 4 -1 1 1 1</div><input id='attrs-8c13a9f8-80cc-43a4-b88a-dbc0193cb176' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c13a9f8-80cc-43a4-b88a-dbc0193cb176' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28d5974f-f300-4585-a8d7-4bfbb429bb2d' class='xr-var-data-in' type='checkbox'><label for='data-28d5974f-f300-4585-a8d7-4bfbb429bb2d' 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([[-1, 0, -2, ..., 1, -4, -1],\n",
" [ 0, 4, 0, ..., 2, 1, 1],\n",
" [ 1, -1, -1, ..., 3, 1, 3],\n",
" ...,\n",
" [-2, 2, 0, ..., 1, 1, 4],\n",
" [ 0, 4, 0, ..., 3, -1, 3],\n",
- " [-2, 4, 0, ..., 1, 1, 1]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_SSW_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-4 -3 -4 -2 -4 -2 ... -2 -3 -2 0 -4</div><input id='attrs-0eb4353e-c43e-457e-9d98-6aef7229254a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0eb4353e-c43e-457e-9d98-6aef7229254a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81a19f18-f2f7-4458-987b-d47fbc8c74b0' class='xr-var-data-in' type='checkbox'><label for='data-81a19f18-f2f7-4458-987b-d47fbc8c74b0' 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([[-4, -3, -4, ..., -4, 0, -2],\n",
+ " [-2, 4, 0, ..., 1, 1, 1]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_SSW_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-4 -3 -4 -2 -4 -2 ... -2 -3 -2 0 -4</div><input id='attrs-9be9e3fe-13af-4a91-8559-3eae946a5f7a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9be9e3fe-13af-4a91-8559-3eae946a5f7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9601cb4-3102-436c-8b57-d181796c8817' class='xr-var-data-in' type='checkbox'><label for='data-b9601cb4-3102-436c-8b57-d181796c8817' 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([[-4, -3, -4, ..., -4, 0, -2],\n",
" [-7, -1, -2, ..., 0, -5, 0],\n",
" [-1, -3, -1, ..., -2, -4, -1],\n",
" ...,\n",
" [-5, -2, -4, ..., -2, -5, -3],\n",
" [-1, -3, -4, ..., 2, 0, -1],\n",
- " [-3, -2, -5, ..., -2, 0, -4]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_SW_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-3 -8 -5 -5 -7 ... -6 -7 -5 -8 -5</div><input id='attrs-bd481fe4-a20c-4339-b27e-ef9a16603761' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd481fe4-a20c-4339-b27e-ef9a16603761' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f384c63a-715f-4cc1-b7f6-801ba704a4bc' class='xr-var-data-in' type='checkbox'><label for='data-f384c63a-715f-4cc1-b7f6-801ba704a4bc' 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([[ -3, -8, -5, ..., -10, -5, -10],\n",
+ " [-3, -2, -5, ..., -2, 0, -4]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_SW_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-3 -8 -5 -5 -7 ... -6 -7 -5 -8 -5</div><input id='attrs-90822846-b1c9-42c0-89cf-6728bf37eef2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90822846-b1c9-42c0-89cf-6728bf37eef2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04dfbfd6-8b07-4e5e-aec1-30c9cfeea298' class='xr-var-data-in' type='checkbox'><label for='data-04dfbfd6-8b07-4e5e-aec1-30c9cfeea298' 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([[ -3, -8, -5, ..., -10, -5, -10],\n",
" [ -6, -4, -7, ..., -5, -8, -5],\n",
" [ -6, -7, -7, ..., -6, -7, -8],\n",
" ...,\n",
" [ -6, -7, -3, ..., -4, -4, -6],\n",
" [ -8, -5, -9, ..., -9, -6, -4],\n",
- " [ -7, -5, -9, ..., -5, -8, -5]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_WSW_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-4 -6 -4 -5 -5 -3 ... -5 -5 -3 -4 0</div><input id='attrs-67312d48-4b5c-406b-83da-1138aacc0290' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-67312d48-4b5c-406b-83da-1138aacc0290' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-622f828e-ab69-4b0a-9d05-07055d45633c' class='xr-var-data-in' type='checkbox'><label for='data-622f828e-ab69-4b0a-9d05-07055d45633c' 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([[-4, -6, -4, ..., -7, -5, -7],\n",
+ " [ -7, -5, -9, ..., -5, -8, -5]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_WSW_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-4 -6 -4 -5 -5 -3 ... -5 -5 -3 -4 0</div><input id='attrs-3aec6568-8d63-4526-8fa0-8cd16d2bdcb8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3aec6568-8d63-4526-8fa0-8cd16d2bdcb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4358d272-ed0b-4341-90e5-1e93862104dc' class='xr-var-data-in' type='checkbox'><label for='data-4358d272-ed0b-4341-90e5-1e93862104dc' 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([[-4, -6, -4, ..., -7, -5, -7],\n",
" [-2, -4, -3, ..., -6, -3, -2],\n",
" [-3, -3, -3, ..., -4, -5, -3],\n",
" ...,\n",
" [-8, -5, -5, ..., -4, -5, -4],\n",
" [-5, -4, -3, ..., -3, -5, -3],\n",
- " [-3, -5, -6, ..., -3, -4, 0]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_E_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-6 -3 -5 -8 -7 ... -4 -6 -2 -4 -6</div><input id='attrs-7348678a-415b-4429-adec-308629d6bfbf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7348678a-415b-4429-adec-308629d6bfbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eb0ceb8-094e-464e-b8cd-27d21a03c170' class='xr-var-data-in' type='checkbox'><label for='data-0eb0ceb8-094e-464e-b8cd-27d21a03c170' 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([[-6, -3, -5, ..., -7, -8, -4],\n",
+ " [-3, -5, -6, ..., -3, -4, 0]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_E_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-6 -3 -5 -8 -7 ... -4 -6 -2 -4 -6</div><input id='attrs-c3876bcd-7936-405e-ae1c-14d38e47dc80' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c3876bcd-7936-405e-ae1c-14d38e47dc80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e46a4ff3-2a06-4aff-90e9-933421f20766' class='xr-var-data-in' type='checkbox'><label for='data-e46a4ff3-2a06-4aff-90e9-933421f20766' 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([[-6, -3, -5, ..., -7, -8, -4],\n",
" [-8, -5, -8, ..., -7, -4, -5],\n",
" [-6, -4, -5, ..., -6, -7, -3],\n",
" ...,\n",
" [-6, -5, -9, ..., -5, -7, -5],\n",
" [-6, -5, -7, ..., -6, -9, -6],\n",
- " [-5, -3, -7, ..., -2, -4, -6]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_ESE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-11 -13 -10 -11 ... -11 -10 -10 -12</div><input id='attrs-0b4e4269-6988-463c-9354-8fc17a601ef3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b4e4269-6988-463c-9354-8fc17a601ef3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e9db708-bb09-432f-87ca-da1183f644d2' class='xr-var-data-in' type='checkbox'><label for='data-5e9db708-bb09-432f-87ca-da1183f644d2' 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([[-11, -13, -10, ..., -12, -13, -9],\n",
+ " [-5, -3, -7, ..., -2, -4, -6]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_ESE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-11 -13 -10 -11 ... -11 -10 -10 -12</div><input id='attrs-6f19ed66-b793-44d5-a770-751517f24aca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6f19ed66-b793-44d5-a770-751517f24aca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d369472-79cc-4f19-b21e-c4b95ff08b4a' class='xr-var-data-in' type='checkbox'><label for='data-0d369472-79cc-4f19-b21e-c4b95ff08b4a' 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([[-11, -13, -10, ..., -12, -13, -9],\n",
" [ -8, -10, -13, ..., -12, -9, -9],\n",
" [-12, -12, -11, ..., -10, -9, -11],\n",
" ...,\n",
" [-13, -12, -10, ..., -10, -13, -11],\n",
" [-11, -12, -9, ..., -9, -11, -10],\n",
- " [-12, -10, -8, ..., -10, -10, -12]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_SE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-7 -3 -8 -2 -3 -2 ... 1 -6 -4 -4 -5</div><input id='attrs-7955c2ed-1418-42bb-9d21-bc8166fd3acf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7955c2ed-1418-42bb-9d21-bc8166fd3acf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-660b8721-305e-4654-8aa3-83a25bdc8424' class='xr-var-data-in' type='checkbox'><label for='data-660b8721-305e-4654-8aa3-83a25bdc8424' 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([[-7, -3, -8, ..., -3, -7, -2],\n",
+ " [-12, -10, -8, ..., -10, -10, -12]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_SE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-7 -3 -8 -2 -3 -2 ... 1 -6 -4 -4 -5</div><input id='attrs-673cb872-700e-4470-aac4-d89931829586' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-673cb872-700e-4470-aac4-d89931829586' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5e5bef8-1fba-40ec-9f42-f252b4363d8f' class='xr-var-data-in' type='checkbox'><label for='data-a5e5bef8-1fba-40ec-9f42-f252b4363d8f' 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([[-7, -3, -8, ..., -3, -7, -2],\n",
" [-6, -4, -9, ..., -6, -5, -2],\n",
" [-7, -5, -6, ..., -1, -8, -5],\n",
" ...,\n",
" [-1, -2, -7, ..., -3, -3, -2],\n",
" [-5, -6, -6, ..., -4, -8, -4],\n",
- " [-6, -2, -4, ..., -4, -4, -5]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_SSE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-13 -14 -14 -13 ... -13 -15 -14 -11</div><input id='attrs-4c63187f-b47b-4df3-aae7-90431566007f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c63187f-b47b-4df3-aae7-90431566007f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a54b342-dad3-467a-aad5-d662e7975db4' class='xr-var-data-in' type='checkbox'><label for='data-5a54b342-dad3-467a-aad5-d662e7975db4' 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([[-13, -14, -14, ..., -14, -13, -16],\n",
+ " [-6, -2, -4, ..., -4, -4, -5]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_SSE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-13 -14 -14 -13 ... -13 -15 -14 -11</div><input id='attrs-9783df67-3ec6-490d-92f8-6c2a4111588b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9783df67-3ec6-490d-92f8-6c2a4111588b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98d3cdc6-a895-404d-832e-f345d2f74bc5' class='xr-var-data-in' type='checkbox'><label for='data-98d3cdc6-a895-404d-832e-f345d2f74bc5' 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([[-13, -14, -14, ..., -14, -13, -16],\n",
" [-12, -15, -15, ..., -12, -15, -14],\n",
" [-14, -13, -14, ..., -14, -14, -15],\n",
" ...,\n",
" [-11, -10, -13, ..., -14, -10, -13],\n",
" [-12, -14, -11, ..., -9, -14, -13],\n",
- " [-12, -15, -14, ..., -15, -14, -11]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_N_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-10 -9 -9 -10 -8 ... -11 -9 -9 -9</div><input id='attrs-d2c62c73-5eb1-4e55-86a6-161f8656f3a0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2c62c73-5eb1-4e55-86a6-161f8656f3a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64c6b108-1c71-437e-a79a-9ed38054a411' class='xr-var-data-in' type='checkbox'><label for='data-64c6b108-1c71-437e-a79a-9ed38054a411' 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([[-10, -9, -9, ..., -11, -9, -12],\n",
+ " [-12, -15, -14, ..., -15, -14, -11]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_N_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-10 -9 -9 -10 -8 ... -11 -9 -9 -9</div><input id='attrs-3e92f06e-fcad-4a8d-a1d9-38b638040a4f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e92f06e-fcad-4a8d-a1d9-38b638040a4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d5f3ad8-df08-42b7-916b-a50fe647100e' class='xr-var-data-in' type='checkbox'><label for='data-4d5f3ad8-df08-42b7-916b-a50fe647100e' 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([[-10, -9, -9, ..., -11, -9, -12],\n",
" [ -9, -12, -10, ..., -10, -11, -10],\n",
" [ -9, -10, -8, ..., -11, -11, -10],\n",
" ...,\n",
" [-12, -11, -11, ..., -12, -12, -10],\n",
" [-10, -14, -10, ..., -8, -10, -11],\n",
- " [-11, -9, -11, ..., -9, -9, -9]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_NNE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-8 -9 -7 -10 -9 ... -8 -8 -8 -7 -8</div><input id='attrs-539238b3-75f1-44e7-997a-b4d6d224edba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-539238b3-75f1-44e7-997a-b4d6d224edba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-858c8bb7-5b60-4b41-ae20-4a69c9acae38' class='xr-var-data-in' type='checkbox'><label for='data-858c8bb7-5b60-4b41-ae20-4a69c9acae38' 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([[ -8, -9, -7, ..., -6, -6, -10],\n",
+ " [-11, -9, -11, ..., -9, -9, -9]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_NNE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-8 -9 -7 -10 -9 ... -8 -8 -8 -7 -8</div><input id='attrs-4c7f41c8-d188-428b-ba96-f0386810ea4b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c7f41c8-d188-428b-ba96-f0386810ea4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11b7a006-bf95-4e52-92bc-ab16ac929dca' class='xr-var-data-in' type='checkbox'><label for='data-11b7a006-bf95-4e52-92bc-ab16ac929dca' 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([[ -8, -9, -7, ..., -6, -6, -10],\n",
" [ -6, -6, -8, ..., -9, -6, -6],\n",
" [ -8, -10, -9, ..., -6, -7, -8],\n",
" ...,\n",
" [ -7, -8, -7, ..., -9, -7, -7],\n",
" [ -7, -9, -7, ..., -7, -6, -9],\n",
- " [ -7, -9, -8, ..., -8, -7, -8]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_NE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-2 -5 -2 -4 -1 -2 ... 2 0 -2 2 -3</div><input id='attrs-6879833f-9e04-4138-ac53-3aaa159144e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6879833f-9e04-4138-ac53-3aaa159144e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02b7f534-e2b8-4088-ae59-a19c5d1d2610' class='xr-var-data-in' type='checkbox'><label for='data-02b7f534-e2b8-4088-ae59-a19c5d1d2610' 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([[-2, -5, -2, ..., -3, -1, -5],\n",
+ " [ -7, -9, -8, ..., -8, -7, -8]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_NE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-2 -5 -2 -4 -1 -2 ... 2 0 -2 2 -3</div><input id='attrs-8c5aea66-34b6-4c58-9436-8a89f857a8da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c5aea66-34b6-4c58-9436-8a89f857a8da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03c0826b-3f80-42b2-b5db-0159d271a50a' class='xr-var-data-in' type='checkbox'><label for='data-03c0826b-3f80-42b2-b5db-0159d271a50a' 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([[-2, -5, -2, ..., -3, -1, -5],\n",
" [-1, -2, -2, ..., -2, -2, -5],\n",
" [ 1, -2, -3, ..., -4, -5, -4],\n",
" ...,\n",
" [-2, -1, -1, ..., -4, -2, -6],\n",
" [ 0, -9, 0, ..., -1, 0, -4],\n",
- " [-3, -3, -4, ..., -2, 2, -3]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_ENE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-4 -3 -2 -3 -3 ... -3 -5 -2 -3 -5</div><input id='attrs-12734d04-56b8-4847-9d81-715753faa654' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12734d04-56b8-4847-9d81-715753faa654' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c07310a5-26b4-4411-8323-5e3bb3169ef5' class='xr-var-data-in' type='checkbox'><label for='data-c07310a5-26b4-4411-8323-5e3bb3169ef5' 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([[-4, -3, -2, ..., -4, -2, -3],\n",
+ " [-3, -3, -4, ..., -2, 2, -3]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_ENE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-4 -3 -2 -3 -3 ... -3 -5 -2 -3 -5</div><input id='attrs-ad625186-c9c9-4b12-999e-374dad98991a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad625186-c9c9-4b12-999e-374dad98991a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2eae30a-c31b-4a01-aae3-4dcaae29ecd0' class='xr-var-data-in' type='checkbox'><label for='data-c2eae30a-c31b-4a01-aae3-4dcaae29ecd0' 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([[-4, -3, -2, ..., -4, -2, -3],\n",
" [-4, -5, -3, ..., -1, -3, 2],\n",
" [-1, -2, -5, ..., -4, -3, -1],\n",
" ...,\n",
" [-5, -2, -4, ..., -2, 0, -1],\n",
" [-2, -2, -4, ..., -6, -4, -2],\n",
- " [-3, -3, -5, ..., -2, -3, -5]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>navitar</span></div><div class='xr-var-dims'>(trainId, gratingEnergy)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.22 11.29 10.78 ... 13.06 12.46</div><input id='attrs-3189f80e-293c-4f54-99c1-c0fc4516454f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3189f80e-293c-4f54-99c1-c0fc4516454f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6cce61f-2bde-4f3b-8f28-de0ae2926a43' class='xr-var-data-in' type='checkbox'><label for='data-c6cce61f-2bde-4f3b-8f28-de0ae2926a43' 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([[12.22 , 11.2875, 10.78 , ..., 12.105 , 11.035 , 11.4475],\n",
+ " [-3, -3, -5, ..., -2, -3, -5]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>navitar</span></div><div class='xr-var-dims'>(trainId, gratingEnergy)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.22 11.29 10.78 ... 13.06 12.46</div><input id='attrs-8d46411a-0ea1-4eac-b421-fdcf9e02b093' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d46411a-0ea1-4eac-b421-fdcf9e02b093' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f6df7f7-1388-4bf8-aeac-c45ef3070565' class='xr-var-data-in' type='checkbox'><label for='data-7f6df7f7-1388-4bf8-aeac-c45ef3070565' 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([[12.22 , 11.2875, 10.78 , ..., 12.105 , 11.035 , 11.4475],\n",
" [10.555 , 12.405 , 11.015 , ..., 11.995 , 11.7325, 10.76 ],\n",
" [11.725 , 10.5325, 11.47 , ..., 13.3975, 11.4575, 12.4975],\n",
" ...,\n",
" [10.5275, 11.8375, 10.88 , ..., 11.4275, 11.635 , 11.5475],\n",
" [11.1775, 11. , 10.9025, ..., 11.6725, 12.195 , 10.955 ],\n",
- " [11.59 , 12.0475, 12.6725, ..., 12.425 , 13.0575, 12.455 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy</span></div><div class='xr-var-dims'>(trainId, gratingEnergy)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>981.0 981.0 ... 1.02e+03 1.02e+03</div><input id='attrs-07d0393c-bd68-460c-b460-b8456c977626' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-07d0393c-bd68-460c-b460-b8456c977626' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2d0150f-131a-49ec-8354-3e30b3339670' class='xr-var-data-in' type='checkbox'><label for='data-c2d0150f-131a-49ec-8354-3e30b3339670' 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([[ 981.00375578, 981.02558941, 981.04742304, ..., 1020.23878641,\n",
+ " [11.59 , 12.0475, 12.6725, ..., 12.425 , 13.0575, 12.455 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy</span></div><div class='xr-var-dims'>(trainId, gratingEnergy)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>981.0 981.0 ... 1.02e+03 1.02e+03</div><input id='attrs-acb0ebe3-45e2-4ed5-9224-1d4f546d97d5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-acb0ebe3-45e2-4ed5-9224-1d4f546d97d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b91ec4cd-428c-4a86-a07e-ec4e51bd7eb4' class='xr-var-data-in' type='checkbox'><label for='data-b91ec4cd-428c-4a86-a07e-ec4e51bd7eb4' 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([[ 981.00375578, 981.02558941, 981.04742304, ..., 1020.23878641,\n",
" 1020.26062003, 1020.28245366],\n",
" [ 980.99653477, 981.01836809, 981.04020142, ..., 1020.23101968,\n",
" 1020.252853 , 1020.27468633],\n",
@@ -660,25 +660,25 @@
" [ 981.00375578, 981.02558941, 981.04742304, ..., 1020.23878641,\n",
" 1020.26062003, 1020.28245366],\n",
" [ 981.02541948, 981.04725402, 981.06908856, ..., 1020.2620873 ,\n",
- " 1020.28392184, 1020.30575638]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bunchPatternTable</span></div><div class='xr-var-dims'>(trainId, pulse_slot)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>2146089 0 ... 16777216 16777216</div><input id='attrs-c637aabd-c5e9-4df4-accf-18256bc64834' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c637aabd-c5e9-4df4-accf-18256bc64834' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a57c8f8-59ab-4ff4-9afb-504dcc6b6947' class='xr-var-data-in' type='checkbox'><label for='data-7a57c8f8-59ab-4ff4-9afb-504dcc6b6947' 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([[ 2146089, 0, 2097193, ..., 16777216, 16777216, 16777216],\n",
+ " 1020.28392184, 1020.30575638]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bunchPatternTable</span></div><div class='xr-var-dims'>(trainId, pulse_slot)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>2146089 0 ... 16777216 16777216</div><input id='attrs-f13dbce8-1c17-4b95-bf23-35584d4a8852' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f13dbce8-1c17-4b95-bf23-35584d4a8852' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4470e3b-6eb5-467b-8bd5-fe3189e21b6c' class='xr-var-data-in' type='checkbox'><label for='data-c4470e3b-6eb5-467b-8bd5-fe3189e21b6c' 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([[ 2146089, 0, 2097193, ..., 16777216, 16777216, 16777216],\n",
" [ 2146089, 0, 2097193, ..., 16777216, 16777216, 16777216],\n",
" [ 2146089, 0, 2097193, ..., 16777216, 16777216, 16777216],\n",
" ...,\n",
" [ 2146089, 0, 2097193, ..., 16777216, 16777216, 16777216],\n",
" [ 2211625, 0, 2097193, ..., 16777216, 16777216, 16777216],\n",
" [ 2146089, 0, 2097193, ..., 16777216, 16777216, 16777216]],\n",
- " dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XTD10_SA3</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.217e+03 1.376e+03 ... 1.489e+03</div><input id='attrs-6ef63ef4-c23a-4b73-a985-0f27b6e0ac27' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ef63ef4-c23a-4b73-a985-0f27b6e0ac27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa3c86e7-f41b-42f9-b7b3-8fb7b43bee7f' class='xr-var-data-in' type='checkbox'><label for='data-aa3c86e7-f41b-42f9-b7b3-8fb7b43bee7f' 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([[1217.2598],\n",
+ " dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XTD10_SA3</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.217e+03 1.376e+03 ... 1.489e+03</div><input id='attrs-ec6f6e6f-3ecd-40f5-8f00-4d0b221822fe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ec6f6e6f-3ecd-40f5-8f00-4d0b221822fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7658532a-368b-4652-8c5a-ab36977ed842' class='xr-var-data-in' type='checkbox'><label for='data-7658532a-368b-4652-8c5a-ab36977ed842' 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([[1217.2598],\n",
" [1375.6898],\n",
" [1362.0608],\n",
" ...,\n",
" [1517.0592],\n",
" [1555.7712],\n",
- " [1489.4523]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a2badd6c-5843-4aca-be35-88f78e281d11' class='xr-section-summary-in' type='checkbox' ><label for='section-a2badd6c-5843-4aca-be35-88f78e281d11' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>trainId</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-287f3d59-eacc-4b1c-bff5-40230fe1709a' class='xr-index-data-in' type='checkbox'/><label for='index-287f3d59-eacc-4b1c-bff5-40230fe1709a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1724088331, 1724088332, 1724088333, 1724088334, 1724088335, 1724088336,\n",
+ " [1489.4523]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ab65f70f-7644-4b87-99a0-e988baaa05f5' class='xr-section-summary-in' type='checkbox' ><label for='section-ab65f70f-7644-4b87-99a0-e988baaa05f5' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>trainId</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8132cdcc-c2ac-4aca-80ee-525d936ca494' class='xr-index-data-in' type='checkbox'/><label for='index-8132cdcc-c2ac-4aca-80ee-525d936ca494' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1724088331, 1724088332, 1724088333, 1724088334, 1724088335, 1724088336,\n",
" 1724088337, 1724088338, 1724088339, 1724088340,\n",
" ...\n",
" 1724098292, 1724098293, 1724098294, 1724098295, 1724098296, 1724098297,\n",
" 1724098298, 1724098299, 1724098300, 1724098301],\n",
- " dtype='uint64', name='trainId', length=7165))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>sa3_pId</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ad03798d-ddcd-44fd-9f71-882ce0472e4d' class='xr-index-data-in' type='checkbox'/><label for='index-ad03798d-ddcd-44fd-9f71-882ce0472e4d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1326], dtype='int64', name='sa3_pId'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f47ace9b-ea55-4e20-b971-517bf1a16bf3' class='xr-section-summary-in' type='checkbox' checked><label for='section-f47ace9b-ea55-4e20-b971-517bf1a16bf3' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>runFolder :</span></dt><dd>/gpfs/exfel/exp/SA3/202330/p900331/raw/r0069</dd></dl></div></li></ul></div></div>"
+ " dtype='uint64', name='trainId', length=7165))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>sa3_pId</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7463f89e-b1bb-419b-9abb-88cffa319ef2' class='xr-index-data-in' type='checkbox'/><label for='index-7463f89e-b1bb-419b-9abb-88cffa319ef2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1326], dtype='int64', name='sa3_pId'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7d629879-f4de-49c0-82a0-6ce5da3adbea' class='xr-section-summary-in' type='checkbox' checked><label for='section-7d629879-f4de-49c0-82a0-6ce5da3adbea' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>runFolder :</span></dt><dd>/gpfs/exfel/exp/SA3/202330/p900331/raw/r0069</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
@@ -706,7 +706,7 @@
" runFolder: /gpfs/exfel/exp/SA3/202330/p900331/raw/r0069"
]
},
- "execution_count": 99,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -717,7 +717,7 @@
},
{
"cell_type": "code",
- "execution_count": 100,
+ "execution_count": 9,
"id": "8f154e38-d208-477e-9d9c-ef2a632514c8",
"metadata": {},
"outputs": [],
@@ -727,7 +727,7 @@
},
{
"cell_type": "code",
- "execution_count": 101,
+ "execution_count": 10,
"id": "0c5ff2a0-0737-417d-9f57-158d4fbd8090",
"metadata": {},
"outputs": [],
@@ -755,17 +755,17 @@
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": 11,
"id": "63b35dac-ad50-4124-b6f8-e1ceea667b4d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "[<matplotlib.lines.Line2D at 0x2afe24725480>]"
+ "[<matplotlib.lines.Line2D at 0x2b4c48d719f0>]"
]
},
- "execution_count": 33,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
@@ -788,17 +788,17 @@
},
{
"cell_type": "code",
- "execution_count": 104,
+ "execution_count": 12,
"id": "d0b70fef-5e27-4cb1-90e7-2653989cf48a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "[<matplotlib.lines.Line2D at 0x2afe279ac9d0>]"
+ "[<matplotlib.lines.Line2D at 0x2b4c50e8d030>]"
]
},
- "execution_count": 104,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
@@ -829,7 +829,7 @@
},
{
"cell_type": "code",
- "execution_count": 41,
+ "execution_count": 13,
"id": "5690cf09-4fed-497d-a09d-0f3cdceea04d",
"metadata": {},
"outputs": [],
@@ -839,7 +839,7 @@
},
{
"cell_type": "code",
- "execution_count": 42,
+ "execution_count": 14,
"id": "cb86aa32-dc1d-4684-bd62-25aa77a97245",
"metadata": {},
"outputs": [
@@ -893,7 +893,7 @@
" [[12.3775, 10.4575, 11.6425, ..., 11.6075, 11.1875, 12.3825]]])"
]
},
- "execution_count": 42,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
@@ -921,7 +921,7 @@
},
{
"cell_type": "code",
- "execution_count": 43,
+ "execution_count": 15,
"id": "a084b920-0006-4859-80f9-ff81f3c1f6b0",
"metadata": {},
"outputs": [
@@ -931,7 +931,7 @@
"0.7660922321176997"
]
},
- "execution_count": 43,
+ "execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@@ -950,7 +950,7 @@
},
{
"cell_type": "code",
- "execution_count": 44,
+ "execution_count": 16,
"id": "f752a9e0-8484-4381-8bb5-5eb27bd82670",
"metadata": {},
"outputs": [
@@ -960,13 +960,13 @@
"Text(0, 0.5, 'Intensity [a.u.]')"
]
},
- "execution_count": 44,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 864x576 with 1 Axes>"
]
@@ -1012,7 +1012,7 @@
},
{
"cell_type": "code",
- "execution_count": 46,
+ "execution_count": 17,
"id": "dc56d30b-7db8-49ce-82ed-d01d8b6670d8",
"metadata": {},
"outputs": [],
@@ -1024,7 +1024,7 @@
},
{
"cell_type": "code",
- "execution_count": 47,
+ "execution_count": 18,
"id": "0d8054bb-8ad6-4ee4-8d0c-8ac4ee990179",
"metadata": {},
"outputs": [],
@@ -1034,7 +1034,7 @@
},
{
"cell_type": "code",
- "execution_count": 48,
+ "execution_count": 19,
"id": "e087883a-43e3-4e19-9041-6740704d7df7",
"metadata": {},
"outputs": [],
@@ -1052,7 +1052,7 @@
},
{
"cell_type": "code",
- "execution_count": 49,
+ "execution_count": 20,
"id": "a5bd5573-afc9-45b3-9f25-7c713e08dfa9",
"metadata": {},
"outputs": [],
@@ -1070,7 +1070,7 @@
},
{
"cell_type": "code",
- "execution_count": 50,
+ "execution_count": 21,
"id": "44e5df6a-dfc9-47ab-9f37-03fdd0687698",
"metadata": {},
"outputs": [],
@@ -1124,13 +1124,13 @@
},
{
"cell_type": "code",
- "execution_count": 53,
+ "execution_count": 22,
"id": "373ca950-0378-4d7d-96ca-57ad951ebbf3",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 1728x576 with 2 Axes>"
]
@@ -1147,13 +1147,13 @@
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 23,
"id": "cb587a4d-dbf6-4f96-9c71-62a72619cbfa",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 1728x576 with 2 Axes>"
]
@@ -1176,6 +1176,373 @@
"# Inference: Apply it in new data without grating"
]
},
+ {
+ "cell_type": "markdown",
+ "id": "76573a84-dbbf-413a-8972-4464f59c45c2",
+ "metadata": {},
+ "source": [
+ "The configuration for inference must be the same as in training. This can be checked as follows."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "645c98a4-66d0-4ae3-90cc-d33ed536b712",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "runTest = 70"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "7bc0a84e-9374-491a-abb6-f0a9f76c47fe",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from pes_to_spec.config import VSConfig\n",
+ "\n",
+ "training_config = VSConfig.load(proposal, runTrain)\n",
+ "inference_config = VSConfig.load(proposal, runTest)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "0bd6e18f-f0db-4b8c-8512-9b8bc8cd9af2",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>mean_u203</th>\n",
+ " <th>mean_u214</th>\n",
+ " <th>mean_u213</th>\n",
+ " <th>mean_u111</th>\n",
+ " <th>mean_u103</th>\n",
+ " <th>mean_u210</th>\n",
+ " <th>mean_u206</th>\n",
+ " <th>mean_u102</th>\n",
+ " <th>mean_u205</th>\n",
+ " <th>mean_u113</th>\n",
+ " <th>...</th>\n",
+ " <th>std_u208</th>\n",
+ " <th>std_u115</th>\n",
+ " <th>std_u3</th>\n",
+ " <th>std_u204</th>\n",
+ " <th>std_u212</th>\n",
+ " <th>std_u201</th>\n",
+ " <th>std_u211</th>\n",
+ " <th>pressure_mean</th>\n",
+ " <th>pressure_std</th>\n",
+ " <th>gas_active</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>-0.10791</td>\n",
+ " <td>-116.001754</td>\n",
+ " <td>-116.006663</td>\n",
+ " <td>2300.000183</td>\n",
+ " <td>2299.997899</td>\n",
+ " <td>-104.398606</td>\n",
+ " <td>-75.401367</td>\n",
+ " <td>2299.997405</td>\n",
+ " <td>-75.404921</td>\n",
+ " <td>2300.005763</td>\n",
+ " <td>...</td>\n",
+ " <td>0.009517</td>\n",
+ " <td>0.007708</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.00298</td>\n",
+ " <td>0.006148</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.00589</td>\n",
+ " <td>0.000001</td>\n",
+ " <td>3.927595e-08</td>\n",
+ " <td>NEON</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>1 rows × 65 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " mean_u203 mean_u214 mean_u213 mean_u111 mean_u103 mean_u210 \\\n",
+ "0 -0.10791 -116.001754 -116.006663 2300.000183 2299.997899 -104.398606 \n",
+ "\n",
+ " mean_u206 mean_u102 mean_u205 mean_u113 ... std_u208 std_u115 \\\n",
+ "0 -75.401367 2299.997405 -75.404921 2300.005763 ... 0.009517 0.007708 \n",
+ "\n",
+ " std_u3 std_u204 std_u212 std_u201 std_u211 pressure_mean \\\n",
+ "0 0.0 0.00298 0.006148 0.0 0.00589 0.000001 \n",
+ "\n",
+ " pressure_std gas_active \n",
+ "0 3.927595e-08 NEON \n",
+ "\n",
+ "[1 rows x 65 columns]"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "training_config.to_pandas()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "340d92cf-c4cc-40ac-8e58-5eb12e08a778",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
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+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>mean_u203</th>\n",
+ " <th>mean_u214</th>\n",
+ " <th>mean_u213</th>\n",
+ " <th>mean_u111</th>\n",
+ " <th>mean_u103</th>\n",
+ " <th>mean_u210</th>\n",
+ " <th>mean_u206</th>\n",
+ " <th>mean_u102</th>\n",
+ " <th>mean_u205</th>\n",
+ " <th>mean_u113</th>\n",
+ " <th>mean_u105</th>\n",
+ " <th>mean_u106</th>\n",
+ " <th>mean_u112</th>\n",
+ " <th>mean_u200</th>\n",
+ " <th>mean_u207</th>\n",
+ " <th>mean_u107</th>\n",
+ " <th>mean_u209</th>\n",
+ " <th>mean_u110</th>\n",
+ " <th>mean_u215</th>\n",
+ " <th>mean_u114</th>\n",
+ " <th>mean_u109</th>\n",
+ " <th>mean_u104</th>\n",
+ " <th>mean_u108</th>\n",
+ " <th>mean_u202</th>\n",
+ " <th>mean_u208</th>\n",
+ " <th>mean_u115</th>\n",
+ " <th>mean_u3</th>\n",
+ " <th>mean_u204</th>\n",
+ " <th>mean_u212</th>\n",
+ " <th>mean_u201</th>\n",
+ " <th>mean_u211</th>\n",
+ " <th>std_u203</th>\n",
+ " <th>std_u214</th>\n",
+ " <th>std_u213</th>\n",
+ " <th>std_u111</th>\n",
+ " <th>std_u103</th>\n",
+ " <th>std_u210</th>\n",
+ " <th>std_u206</th>\n",
+ " <th>std_u102</th>\n",
+ " <th>std_u205</th>\n",
+ " <th>std_u113</th>\n",
+ " <th>std_u105</th>\n",
+ " <th>std_u106</th>\n",
+ " <th>std_u112</th>\n",
+ " <th>std_u200</th>\n",
+ " <th>std_u207</th>\n",
+ " <th>std_u107</th>\n",
+ " <th>std_u209</th>\n",
+ " <th>std_u110</th>\n",
+ " <th>std_u215</th>\n",
+ " <th>std_u114</th>\n",
+ " <th>std_u109</th>\n",
+ " <th>std_u104</th>\n",
+ " <th>std_u108</th>\n",
+ " <th>std_u202</th>\n",
+ " <th>std_u208</th>\n",
+ " <th>std_u115</th>\n",
+ " <th>std_u3</th>\n",
+ " <th>std_u204</th>\n",
+ " <th>std_u212</th>\n",
+ " <th>std_u201</th>\n",
+ " <th>std_u211</th>\n",
+ " <th>pressure_mean</th>\n",
+ " <th>pressure_std</th>\n",
+ " <th>gas_active</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>0.0</td>\n",
+ " <td>0.003525</td>\n",
+ " <td>-0.007761</td>\n",
+ " <td>0.002027</td>\n",
+ " <td>-0.002881</td>\n",
+ " <td>0.004141</td>\n",
+ " <td>-0.000371</td>\n",
+ " <td>-0.00252</td>\n",
+ " <td>-0.000403</td>\n",
+ " <td>0.002661</td>\n",
+ " <td>-0.002808</td>\n",
+ " <td>-0.002253</td>\n",
+ " <td>0.0026</td>\n",
+ " <td>0.0</td>\n",
+ " <td>-0.001006</td>\n",
+ " <td>-0.002253</td>\n",
+ " <td>-0.000686</td>\n",
+ " <td>0.00274</td>\n",
+ " <td>0.00336</td>\n",
+ " <td>0.002597</td>\n",
+ " <td>0.014333</td>\n",
+ " <td>-0.00211</td>\n",
+ " <td>0.002757</td>\n",
+ " <td>0.0</td>\n",
+ " <td>-0.007345</td>\n",
+ " <td>-0.00564</td>\n",
+ " <td>0.0</td>\n",
+ " <td>-0.000859</td>\n",
+ " <td>0.003829</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.003503</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.005969</td>\n",
+ " <td>0.005773</td>\n",
+ " <td>0.002954</td>\n",
+ " <td>0.003713</td>\n",
+ " <td>0.006135</td>\n",
+ " <td>0.003011</td>\n",
+ " <td>0.003651</td>\n",
+ " <td>0.003139</td>\n",
+ " <td>0.002736</td>\n",
+ " <td>0.004035</td>\n",
+ " <td>0.003808</td>\n",
+ " <td>0.002859</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.00347</td>\n",
+ " <td>0.003808</td>\n",
+ " <td>0.005398</td>\n",
+ " <td>0.002762</td>\n",
+ " <td>0.006056</td>\n",
+ " <td>0.002948</td>\n",
+ " <td>0.006213</td>\n",
+ " <td>0.003626</td>\n",
+ " <td>0.002704</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.009517</td>\n",
+ " <td>0.007708</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.00298</td>\n",
+ " <td>0.006148</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.00589</td>\n",
+ " <td>5.828724e-10</td>\n",
+ " <td>3.927595e-08</td>\n",
+ " <td></td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " mean_u203 mean_u214 mean_u213 mean_u111 mean_u103 mean_u210 \\\n",
+ "0 0.0 0.003525 -0.007761 0.002027 -0.002881 0.004141 \n",
+ "\n",
+ " mean_u206 mean_u102 mean_u205 mean_u113 mean_u105 mean_u106 \\\n",
+ "0 -0.000371 -0.00252 -0.000403 0.002661 -0.002808 -0.002253 \n",
+ "\n",
+ " mean_u112 mean_u200 mean_u207 mean_u107 mean_u209 mean_u110 \\\n",
+ "0 0.0026 0.0 -0.001006 -0.002253 -0.000686 0.00274 \n",
+ "\n",
+ " mean_u215 mean_u114 mean_u109 mean_u104 mean_u108 mean_u202 \\\n",
+ "0 0.00336 0.002597 0.014333 -0.00211 0.002757 0.0 \n",
+ "\n",
+ " mean_u208 mean_u115 mean_u3 mean_u204 mean_u212 mean_u201 mean_u211 \\\n",
+ "0 -0.007345 -0.00564 0.0 -0.000859 0.003829 0.0 0.003503 \n",
+ "\n",
+ " std_u203 std_u214 std_u213 std_u111 std_u103 std_u210 std_u206 \\\n",
+ "0 0.0 0.005969 0.005773 0.002954 0.003713 0.006135 0.003011 \n",
+ "\n",
+ " std_u102 std_u205 std_u113 std_u105 std_u106 std_u112 std_u200 \\\n",
+ "0 0.003651 0.003139 0.002736 0.004035 0.003808 0.002859 0.0 \n",
+ "\n",
+ " std_u207 std_u107 std_u209 std_u110 std_u215 std_u114 std_u109 \\\n",
+ "0 0.00347 0.003808 0.005398 0.002762 0.006056 0.002948 0.006213 \n",
+ "\n",
+ " std_u104 std_u108 std_u202 std_u208 std_u115 std_u3 std_u204 \\\n",
+ "0 0.003626 0.002704 0.0 0.009517 0.007708 0.0 0.00298 \n",
+ "\n",
+ " std_u212 std_u201 std_u211 pressure_mean pressure_std gas_active \n",
+ "0 0.006148 0.0 0.00589 5.828724e-10 3.927595e-08 "
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "pd.set_option('display.max_columns', 500)\n",
+ "(training_config - inference_config).to_pandas()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "id": "901cb891-53ec-42e1-b558-6fb7598751a1",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "training_config == inference_config"
+ ]
+ },
{
"cell_type": "markdown",
"id": "d99852b3-ec27-44e7-bd63-056fa3804810",
@@ -1186,13 +1553,11 @@
},
{
"cell_type": "code",
- "execution_count": 108,
+ "execution_count": 29,
"id": "afd8d85c-d6f0-4fff-9e90-79a99363aca8",
"metadata": {},
"outputs": [],
"source": [
- "runTest = 70\n",
- "\n",
"# bunch pattern table\n",
"fields_inference = [\n",
" 'XTD10_SA3', # XGM\n",
@@ -1219,7 +1584,7 @@
},
{
"cell_type": "code",
- "execution_count": 110,
+ "execution_count": 30,
"id": "6115d454-d695-441e-b70f-40ac4a336355",
"metadata": {
"tags": []
@@ -1247,7 +1612,7 @@
},
{
"cell_type": "code",
- "execution_count": 111,
+ "execution_count": 31,
"id": "61361cb1-4ae6-4651-ad98-05504386ef4f",
"metadata": {},
"outputs": [],
@@ -1262,7 +1627,7 @@
},
{
"cell_type": "code",
- "execution_count": 112,
+ "execution_count": 32,
"id": "432794bf-969e-404f-a087-1961c1b93736",
"metadata": {},
"outputs": [
@@ -1283,7 +1648,7 @@
" 'channel_4_D': array([0])}"
]
},
- "execution_count": 112,
+ "execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
@@ -1304,7 +1669,7 @@
},
{
"cell_type": "code",
- "execution_count": 113,
+ "execution_count": 33,
"id": "d9f267f7-3e0d-4101-97f0-019c837b5e5e",
"metadata": {},
"outputs": [],
@@ -1314,7 +1679,7 @@
},
{
"cell_type": "code",
- "execution_count": 114,
+ "execution_count": 34,
"id": "2be3b1ac-5e21-4503-b763-ba7723b808c2",
"metadata": {},
"outputs": [],
@@ -1324,7 +1689,7 @@
},
{
"cell_type": "code",
- "execution_count": 121,
+ "execution_count": 35,
"id": "bdd8a381-41d8-4a3e-9d16-1d7052aa527a",
"metadata": {},
"outputs": [
@@ -1334,7 +1699,7 @@
"(5714, 1, 1800)"
]
},
- "execution_count": 121,
+ "execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
@@ -1345,7 +1710,7 @@
},
{
"cell_type": "code",
- "execution_count": 122,
+ "execution_count": 36,
"id": "43c23e2b-cc36-47b4-985a-691b155ef355",
"metadata": {},
"outputs": [
@@ -1355,7 +1720,7 @@
"(1800,)"
]
},
- "execution_count": 122,
+ "execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
@@ -1374,7 +1739,7 @@
},
{
"cell_type": "code",
- "execution_count": 115,
+ "execution_count": 37,
"id": "c9ea5c57-cdf3-4268-856f-44b48cd3fb69",
"metadata": {},
"outputs": [],
@@ -1403,13 +1768,13 @@
},
{
"cell_type": "code",
- "execution_count": 118,
+ "execution_count": 38,
"id": "99256b0f-780d-4a20-bc70-6e0b894c584c",
"metadata": {},
"outputs": [
{
"data": {
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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 864x576 with 1 Axes>"
]
@@ -1426,10 +1791,126 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 39,
"id": "2ae94611-5d71-4c11-806c-04905607be1d",
"metadata": {},
"outputs": [],
+ "source": [
+ "t = vs_inf[\"expected\"].reshape(-1, vs_inf[\"expected\"].shape[-1])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "id": "6ca8c3c6-0d38-4b98-9514-857b7e5c1e6b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[<matplotlib.lines.Line2D at 0x2b4e448d8580>]"
+ ]
+ },
+ "execution_count": 40,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.plot(vs_inf[\"energy\"], np.mean(t, axis=0))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "id": "33b69235-3eeb-451c-b15c-4f58ae7cd0a5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "mean_energy = np.sum(energy*np.mean(t, axis=0))/np.sum(np.mean(t, axis=0))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "id": "c8321e99-cd1c-4959-a3ca-283554ac6e77",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1000.1356563946587"
+ ]
+ },
+ "execution_count": 42,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "mean_energy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "id": "8f3bb1b7-2503-467c-a7b0-388887431581",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "86.6823007000277"
+ ]
+ },
+ "execution_count": 43,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.amax(np.mean(t, axis=0))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "id": "9bd8186f-0e9c-4c37-96ae-4194643e8da3",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "11.914776639327808"
+ ]
+ },
+ "execution_count": 44,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.median(np.mean(t, axis=0))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "3c3ec6bb-8f89-42c4-b666-328d5e569265",
+ "metadata": {},
+ "outputs": [],
"source": []
}
],
diff --git a/notebook/Virtual spectrometer SCS Viking.ipynb b/notebook/Virtual spectrometer SCS Viking.ipynb
index 778242a..f2548b4 100644
--- a/notebook/Virtual spectrometer SCS Viking.ipynb
+++ b/notebook/Virtual spectrometer SCS Viking.ipynb
@@ -39,7 +39,7 @@
"outputs": [],
"source": [
"import sys\n",
- "# replace this \n",
+ "# replace this\n",
"sys.path.append('/home/danilo/scratch/karabo/devices/pes_to_spec')"
]
},
@@ -121,7 +121,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 12,
"id": "0a467b2f-5f99-4ed8-bb1d-cb429454d3ce",
"metadata": {},
"outputs": [
@@ -150,664 +150,12 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": null,
"id": "4f6124d9-8c1b-44f8-a078-07475a9674fc",
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- "newton: only 50.0% of trains (661 out of 1323) contain data.\n"
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- "Dimensions: (trainId: 660, newt_y: 53, newt_x: 1500,\n",
- " PESsampleId: 700000, pulse_slot: 2700, sa3_pId: 43)\n",
- "Coordinates:\n",
- " * trainId (trainId) uint64 1473952798 1473952800 ... 1473954118\n",
- " * sa3_pId (sa3_pId) int64 1056 1088 1120 1152 ... 2336 2368 2400\n",
- " * newt_x (newt_x) float64 515.9 515.9 515.9 ... 553.7 553.7 553.8\n",
- "Dimensions without coordinates: newt_y, PESsampleId, pulse_slot\n",
- "Data variables: (12/21)\n",
- " newton (trainId, newt_y, newt_x) float64 943.0 800.0 ... 758.0\n",
- " PES_S_raw (trainId, PESsampleId) int16 -2 1 1 2 -1 ... 2 -1 3 -3 1\n",
- " PES_SSW_raw (trainId, PESsampleId) int16 -3 0 -3 -3 ... -3 -4 -4 -3\n",
- " PES_SW_raw (trainId, PESsampleId) int16 -5 -8 -7 -4 ... -9 -7 -6 -9\n",
- " PES_WSW_raw (trainId, PESsampleId) int16 -5 -6 -5 -5 ... 0 -3 -2 -7\n",
- " PES_W_raw (trainId, PESsampleId) int16 3 1 3 1 3 1 ... 4 2 3 0 3 1\n",
- " ... ...\n",
- " PES_NE_raw (trainId, PESsampleId) int16 -4 -5 -1 -5 ... -2 -2 -2 -1\n",
- " PES_ENE_raw (trainId, PESsampleId) int16 -5 -2 -5 -2 ... -7 0 -4 -1\n",
- " bunchPatternTable (trainId, pulse_slot) uint32 2146089 2048 ... 16777216\n",
- " XTD10_SA3 (trainId, sa3_pId) float32 1.674e+03 ... 1.465e+03\n",
- " spectrum (trainId, newt_x) float64 941.8 960.7 ... 1.319e+03\n",
- " spectrum_nobl (trainId, newt_x) float64 -25.84 -7.057 ... -41.9 -25.1\n",
- "Attributes:\n",
- " runFolder: /gpfs/exfel/exp/SCS/202202/p002953/raw/r0322\n",
- " vbin:: 4\n",
- " hbin: 1\n",
- " startX: 1\n",
- " endX: 2048\n",
- " startY: 1\n",
- " endY: 512\n",
- " temperature: -50.04199981689453\n",
- " high_capacity: 0\n",
- " exposure_s: 0.0004\n",
- " gain: 2\n",
- " photoelectrons_per_count: 2.05</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-5c25c23a-638a-4d61-8679-07e9bad05d01' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5c25c23a-638a-4d61-8679-07e9bad05d01' 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'>trainId</span>: 660</li><li><span>newt_y</span>: 53</li><li><span class='xr-has-index'>newt_x</span>: 1500</li><li><span>PESsampleId</span>: 700000</li><li><span>pulse_slot</span>: 2700</li><li><span class='xr-has-index'>sa3_pId</span>: 43</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8c7bb192-4de6-4d39-9e05-db9bdf19c8cb' class='xr-section-summary-in' type='checkbox' checked><label for='section-8c7bb192-4de6-4d39-9e05-db9bdf19c8cb' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>trainId</span></div><div class='xr-var-dims'>(trainId)</div><div class='xr-var-dtype'>uint64</div><div class='xr-var-preview xr-preview'>1473952798 ... 1473954118</div><input id='attrs-44d63e58-96be-47df-bd46-729870bef781' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-44d63e58-96be-47df-bd46-729870bef781' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-956868a6-7982-4dd4-9f15-62de50bce54f' class='xr-var-data-in' type='checkbox'><label for='data-956868a6-7982-4dd4-9f15-62de50bce54f' 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([1473952798, 1473952800, 1473952802, ..., 1473954114, 1473954116,\n",
- " 1473954118], dtype=uint64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sa3_pId</span></div><div class='xr-var-dims'>(sa3_pId)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1056 1088 1120 ... 2336 2368 2400</div><input id='attrs-2013517d-11c6-4a0f-bacf-fc75be67340f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2013517d-11c6-4a0f-bacf-fc75be67340f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5982e0ca-a510-4eab-8cf1-24f8ed3f5bf7' class='xr-var-data-in' type='checkbox'><label for='data-5982e0ca-a510-4eab-8cf1-24f8ed3f5bf7' 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([1056, 1088, 1120, 1152, 1184, 1216, 1248, 1280, 1312, 1344, 1376, 1408,\n",
- " 1440, 1472, 1504, 1536, 1568, 1600, 1632, 1664, 1696, 1728, 1760, 1792,\n",
- " 1824, 1856, 1888, 1920, 1952, 1984, 2016, 2048, 2080, 2112, 2144, 2176,\n",
- " 2208, 2240, 2272, 2304, 2336, 2368, 2400])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>newt_x</span></div><div class='xr-var-dims'>(newt_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>515.9 515.9 515.9 ... 553.7 553.8</div><input id='attrs-a1c4d87f-6ac1-4f0d-b02c-daecb9cebd58' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a1c4d87f-6ac1-4f0d-b02c-daecb9cebd58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68dda5fd-bbaf-49b3-a914-8709bc1c122f' class='xr-var-data-in' type='checkbox'><label for='data-68dda5fd-bbaf-49b3-a914-8709bc1c122f' 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([515.884589, 515.907651, 515.930715, ..., 553.717729, 553.745216,\n",
- " 553.772706])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5fbdd184-b4c6-4a11-84e9-1cde45f68601' class='xr-section-summary-in' type='checkbox' ><label for='section-5fbdd184-b4c6-4a11-84e9-1cde45f68601' class='xr-section-summary' >Data variables: <span>(21)</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>newton</span></div><div class='xr-var-dims'>(trainId, newt_y, newt_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>943.0 800.0 697.0 ... 805.0 758.0</div><input id='attrs-38bd3d1a-cab9-4b8e-94b4-b00810c2b3fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38bd3d1a-cab9-4b8e-94b4-b00810c2b3fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f7281ec-9692-41e9-90e8-0f1b568813b1' class='xr-var-data-in' type='checkbox'><label for='data-7f7281ec-9692-41e9-90e8-0f1b568813b1' 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([[[ 943., 800., 697., ..., 985., 1057., 1038.],\n",
- " [ 842., 921., 957., ..., 1037., 1041., 978.],\n",
- " [ 744., 587., 558., ..., 1094., 925., 1030.],\n",
- " ...,\n",
- " [ 600., 688., 836., ..., 970., 1061., 1204.],\n",
- " [ 681., 625., 675., ..., 921., 938., 887.],\n",
- " [ 695., 593., 822., ..., 666., 582., 829.]],\n",
- "\n",
- " [[ 918., 949., 901., ..., 892., 976., 905.],\n",
- " [ 857., 912., 1083., ..., 731., 757., 758.],\n",
- " [ 630., 575., 599., ..., 1058., 967., 914.],\n",
- " ...,\n",
- " [ 741., 776., 874., ..., 784., 961., 1391.],\n",
- " [ 684., 971., 878., ..., 954., 1218., 1041.],\n",
- " [ 831., 647., 744., ..., 643., 690., 733.]],\n",
- "\n",
- " [[ 634., 709., 727., ..., 985., 963., 836.],\n",
- " [ 553., 612., 787., ..., 1169., 788., 903.],\n",
- " [ 668., 618., 621., ..., 785., 863., 835.],\n",
- " ...,\n",
- "...\n",
- " ...,\n",
- " [ 920., 815., 759., ..., 844., 1050., 839.],\n",
- " [1080., 956., 661., ..., 968., 1001., 915.],\n",
- " [ 811., 918., 652., ..., 873., 823., 1034.]],\n",
- "\n",
- " [[ 733., 606., 582., ..., 880., 1039., 1139.],\n",
- " [ 784., 806., 787., ..., 1075., 1125., 827.],\n",
- " [ 889., 848., 957., ..., 962., 1071., 811.],\n",
- " ...,\n",
- " [ 860., 649., 578., ..., 962., 1151., 985.],\n",
- " [ 845., 663., 688., ..., 836., 978., 1340.],\n",
- " [ 732., 784., 586., ..., 734., 872., 829.]],\n",
- "\n",
- " [[ 697., 934., 742., ..., 873., 753., 931.],\n",
- " [ 694., 730., 774., ..., 802., 1020., 1206.],\n",
- " [ 697., 956., 694., ..., 700., 785., 899.],\n",
- " ...,\n",
- " [ 799., 717., 918., ..., 898., 951., 1050.],\n",
- " [ 870., 949., 918., ..., 911., 1283., 1080.],\n",
- " [ 894., 627., 652., ..., 1032., 805., 758.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_S_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-2 1 1 2 -1 1 0 ... -2 2 -1 3 -3 1</div><input id='attrs-c923b58a-8a04-43df-af4d-df322852e792' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c923b58a-8a04-43df-af4d-df322852e792' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-592aae53-4746-4663-b2c9-6d60457d6efd' class='xr-var-data-in' type='checkbox'><label for='data-592aae53-4746-4663-b2c9-6d60457d6efd' 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([[-2, 1, 1, ..., 4, -3, -2],\n",
- " [ 1, 0, -1, ..., 3, -2, 0],\n",
- " [-1, 6, 0, ..., 1, -4, 1],\n",
- " ...,\n",
- " [-2, 1, -1, ..., -1, 3, 0],\n",
- " [-1, 4, 0, ..., 0, 2, 1],\n",
- " [-2, 1, 0, ..., 3, -3, 1]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_SSW_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-3 0 -3 -3 -1 0 ... 1 -3 -4 -4 -3</div><input id='attrs-4b9318e0-75df-431d-ba44-63b082d17d05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b9318e0-75df-431d-ba44-63b082d17d05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb55e6a3-96fc-475e-955a-6326b4a9f825' class='xr-var-data-in' type='checkbox'><label for='data-bb55e6a3-96fc-475e-955a-6326b4a9f825' 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([[-3, 0, -3, ..., -3, -1, -2],\n",
- " [-1, 1, -1, ..., 1, 1, 1],\n",
- " [-3, -2, 0, ..., -3, -1, 0],\n",
- " ...,\n",
- " [-3, -1, -1, ..., -7, 2, -2],\n",
- " [ 1, -3, -3, ..., -2, -4, -1],\n",
- " [-4, -2, -3, ..., -4, -4, -3]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_SW_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-5 -8 -7 -4 -7 ... -9 -9 -7 -6 -9</div><input id='attrs-e81e9f33-58cc-4738-b5e0-e5944ed30608' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e81e9f33-58cc-4738-b5e0-e5944ed30608' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9925ddb-fd09-4a0e-852e-d448820fcaad' class='xr-var-data-in' type='checkbox'><label for='data-c9925ddb-fd09-4a0e-852e-d448820fcaad' 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([[ -5, -8, -7, ..., -7, -8, -5],\n",
- " [ -5, -6, -9, ..., -8, -5, -9],\n",
- " [-10, -8, -10, ..., -8, -6, -8],\n",
- " ...,\n",
- " [ -7, -6, -7, ..., -9, -8, -9],\n",
- " [ -8, -6, -8, ..., -7, -9, -9],\n",
- " [ -8, -7, -8, ..., -7, -6, -9]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_WSW_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-5 -6 -5 -5 -5 -8 ... -7 0 -3 -2 -7</div><input id='attrs-d4307e12-0054-4826-8f67-f9a9a0512c73' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d4307e12-0054-4826-8f67-f9a9a0512c73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14cc428e-3848-43ef-a376-2509dd5610dd' class='xr-var-data-in' type='checkbox'><label for='data-14cc428e-3848-43ef-a376-2509dd5610dd' 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([[-5, -6, -5, ..., -4, -5, -6],\n",
- " [-5, -5, -4, ..., -6, -6, -4],\n",
- " [-2, -6, -4, ..., -3, -3, -5],\n",
- " ...,\n",
- " [-2, -5, -4, ..., -2, -5, -5],\n",
- " [-2, -4, -5, ..., -4, -4, -3],\n",
- " [-1, -4, -4, ..., -3, -2, -7]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_W_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>3 1 3 1 3 1 3 2 ... 2 3 4 2 3 0 3 1</div><input id='attrs-56badc9c-94f3-4881-837c-d5f2a7773d66' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-56badc9c-94f3-4881-837c-d5f2a7773d66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc35f2d0-23b5-46aa-9bea-4d53b46b0061' class='xr-var-data-in' type='checkbox'><label for='data-bc35f2d0-23b5-46aa-9bea-4d53b46b0061' 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([[ 3, 1, 3, ..., 1, 3, 3],\n",
- " [ 3, 5, 1, ..., 4, 4, 3],\n",
- " [-1, 2, -1, ..., 1, 1, 5],\n",
- " ...,\n",
- " [ 3, 3, 2, ..., 3, 2, 3],\n",
- " [ 2, 4, 3, ..., 1, 1, 0],\n",
- " [ 2, 3, 2, ..., 0, 3, 1]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_WNW_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-6 -3 -5 -6 -5 ... -2 -4 -5 -4 -7</div><input id='attrs-5ae2779a-4fd3-4d32-8cd1-299494cfa506' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ae2779a-4fd3-4d32-8cd1-299494cfa506' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3daf0a40-8a50-4de7-a01c-064999adc1f2' class='xr-var-data-in' type='checkbox'><label for='data-3daf0a40-8a50-4de7-a01c-064999adc1f2' 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([[-6, -3, -5, ..., -2, -1, -4],\n",
- " [-7, -2, -2, ..., -2, -2, -5],\n",
- " [-5, -4, -1, ..., -5, -3, -5],\n",
- " ...,\n",
- " [-1, -7, -6, ..., -6, -5, -7],\n",
- " [-5, -4, -4, ..., -6, -3, -6],\n",
- " [-6, -5, -7, ..., -5, -4, -7]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_NW_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-9 -11 -11 -13 ... -10 -10 -10 -9</div><input id='attrs-607da0a0-d09d-4b2c-ac82-14ec87becfc9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-607da0a0-d09d-4b2c-ac82-14ec87becfc9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6d0c51a-1651-4357-a0f4-ad4ad7a6ce11' class='xr-var-data-in' type='checkbox'><label for='data-d6d0c51a-1651-4357-a0f4-ad4ad7a6ce11' 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([[ -9, -11, -11, ..., -11, -7, -11],\n",
- " [-10, -10, -9, ..., -8, -12, -9],\n",
- " [-11, -11, -13, ..., -10, -10, -12],\n",
- " ...,\n",
- " [ -7, -11, -8, ..., -11, -11, -9],\n",
- " [-12, -10, -10, ..., -12, -8, -11],\n",
- " [-11, -10, -8, ..., -10, -10, -9]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_NNW_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-2 -5 -5 -4 -5 ... -5 -7 -7 -6 -7</div><input id='attrs-c69dec9d-70bc-42aa-99fc-0b91982ae181' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c69dec9d-70bc-42aa-99fc-0b91982ae181' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58939b35-465c-4c46-a31d-d41a5f867c45' class='xr-var-data-in' type='checkbox'><label for='data-58939b35-465c-4c46-a31d-d41a5f867c45' 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([[-2, -5, -5, ..., -3, -6, -5],\n",
- " [-4, -5, -4, ..., -1, -6, -5],\n",
- " [-4, -5, -6, ..., -3, -6, -7],\n",
- " ...,\n",
- " [-4, -7, -3, ..., -7, -5, -7],\n",
- " [-4, -4, -5, ..., -6, -7, -8],\n",
- " [-4, -4, -5, ..., -7, -6, -7]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_E_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-7 -1 -6 -4 -5 ... -1 -4 -2 -4 -2</div><input id='attrs-8d4a4770-07a1-47de-9477-f09b0e740c2e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d4a4770-07a1-47de-9477-f09b0e740c2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4723261-f956-44b3-8f6c-13b4465b143e' class='xr-var-data-in' type='checkbox'><label for='data-e4723261-f956-44b3-8f6c-13b4465b143e' 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([[-7, -1, -6, ..., -6, -8, -4],\n",
- " [-5, -4, -6, ..., -4, -5, -4],\n",
- " [-6, -4, -3, ..., -5, -6, -2],\n",
- " ...,\n",
- " [-5, -4, -6, ..., -1, -5, -5],\n",
- " [-3, -3, -7, ..., -6, -8, -6],\n",
- " [-8, -1, -4, ..., -2, -4, -2]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_ESE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-11 -10 -12 -12 ... -11 -11 -13 -10</div><input id='attrs-6bbb9738-b814-4001-88e8-f6b61d814819' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6bbb9738-b814-4001-88e8-f6b61d814819' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c714a94-e83b-45a9-9137-c96b4a05e12d' class='xr-var-data-in' type='checkbox'><label for='data-1c714a94-e83b-45a9-9137-c96b4a05e12d' 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([[-11, -10, -12, ..., -8, -9, -11],\n",
- " [ -8, -13, -10, ..., -10, -9, -12],\n",
- " [ -9, -11, -11, ..., -9, -10, -10],\n",
- " ...,\n",
- " [-11, -7, -12, ..., -9, -13, -10],\n",
- " [ -9, -11, -11, ..., -10, -11, -9],\n",
- " [-12, -9, -10, ..., -11, -13, -10]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_SE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>0 -7 -4 -3 -3 -4 ... -5 -2 -2 -4 -3</div><input id='attrs-909808f0-cc7d-4d9b-b650-9655154357da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-909808f0-cc7d-4d9b-b650-9655154357da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-962407ab-5a91-499e-abda-62f716a7c575' class='xr-var-data-in' type='checkbox'><label for='data-962407ab-5a91-499e-abda-62f716a7c575' 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, -7, -4, ..., -1, -2, -5],\n",
- " [-4, -3, -4, ..., -3, 0, -4],\n",
- " [-2, -2, -7, ..., -2, -1, -4],\n",
- " ...,\n",
- " [-4, -4, -3, ..., -4, -3, -3],\n",
- " [-3, -5, -3, ..., -4, -4, -5],\n",
- " [-4, -3, -6, ..., -2, -4, -3]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_SSE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-13 -13 -15 -12 ... -12 -12 -13 -14</div><input id='attrs-a432445a-c371-4de6-b733-fe1f6c1e600d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a432445a-c371-4de6-b733-fe1f6c1e600d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29f92f24-7dbf-49fa-b8b3-435173d7e1a6' class='xr-var-data-in' type='checkbox'><label for='data-29f92f24-7dbf-49fa-b8b3-435173d7e1a6' 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([[-13, -13, -15, ..., -14, -12, -14],\n",
- " [-14, -15, -13, ..., -13, -9, -15],\n",
- " [-13, -14, -11, ..., -14, -11, -11],\n",
- " ...,\n",
- " [-13, -14, -13, ..., -13, -12, -14],\n",
- " [-13, -14, -11, ..., -11, -13, -14],\n",
- " [-16, -13, -15, ..., -12, -13, -14]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_N_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-10 -12 -10 -9 -8 ... -8 -8 -8 -10</div><input id='attrs-a715828f-1f78-430b-add5-f509446a1813' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a715828f-1f78-430b-add5-f509446a1813' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73a7b7c2-cbfd-4521-add4-b991d51953ad' class='xr-var-data-in' type='checkbox'><label for='data-73a7b7c2-cbfd-4521-add4-b991d51953ad' 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([[-10, -12, -10, ..., -10, -10, -11],\n",
- " [ -8, -11, -9, ..., -9, -7, -10],\n",
- " [-11, -8, -11, ..., -12, -11, -12],\n",
- " ...,\n",
- " [ -8, -10, -10, ..., -7, -9, -12],\n",
- " [-11, -9, -8, ..., -11, -10, -9],\n",
- " [ -8, -9, -10, ..., -8, -8, -10]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_NNE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-6 -8 -7 -9 -9 ... -9 -7 -8 -10 -9</div><input id='attrs-f1972a0e-05f9-4144-b637-bee2f304c5cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f1972a0e-05f9-4144-b637-bee2f304c5cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1b9f190-7131-4308-a5f7-dc0b4704e7df' class='xr-var-data-in' type='checkbox'><label for='data-d1b9f190-7131-4308-a5f7-dc0b4704e7df' 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([[ -6, -8, -7, ..., -9, -5, -10],\n",
- " [ -5, -7, -9, ..., -9, -6, -10],\n",
- " [-10, -8, -9, ..., -8, -8, -10],\n",
- " ...,\n",
- " [ -7, -8, -10, ..., -8, -7, -10],\n",
- " [ -5, -7, -5, ..., -8, -9, -11],\n",
- " [ -7, -7, -7, ..., -8, -10, -9]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_NE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-4 -5 -1 -5 -2 ... -5 -2 -2 -2 -1</div><input id='attrs-493315df-dfff-4f85-9edb-edca2ce3ec44' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-493315df-dfff-4f85-9edb-edca2ce3ec44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-673dc8a1-009b-4458-8a8e-743dbccf9d20' class='xr-var-data-in' type='checkbox'><label for='data-673dc8a1-009b-4458-8a8e-743dbccf9d20' 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([[-4, -5, -1, ..., -5, 0, -5],\n",
- " [-3, -4, -4, ..., -5, -1, -1],\n",
- " [-2, -1, -1, ..., -3, -2, -5],\n",
- " ...,\n",
- " [-4, -3, -3, ..., -3, -1, -4],\n",
- " [ 0, -3, -3, ..., 1, -2, -5],\n",
- " [-1, -5, -6, ..., -2, -2, -1]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_ENE_raw</span></div><div class='xr-var-dims'>(trainId, PESsampleId)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>-5 -2 -5 -2 -5 -1 ... -3 -7 0 -4 -1</div><input id='attrs-05020386-2993-4cfb-b615-bed6052bc600' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-05020386-2993-4cfb-b615-bed6052bc600' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c608bc72-5f42-470e-a290-b2521b7efc27' class='xr-var-data-in' type='checkbox'><label for='data-c608bc72-5f42-470e-a290-b2521b7efc27' 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([[-5, -2, -5, ..., -4, -6, -1],\n",
- " [-4, 2, -4, ..., -2, -6, -2],\n",
- " [-2, 0, -5, ..., -1, -2, -3],\n",
- " ...,\n",
- " [-1, -4, -3, ..., 2, -4, -1],\n",
- " [-9, -2, -5, ..., -2, -2, -3],\n",
- " [-5, 0, 0, ..., 0, -4, -1]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bunchPatternTable</span></div><div class='xr-var-dims'>(trainId, pulse_slot)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>2146089 2048 ... 16777216 16777216</div><input id='attrs-a62a3040-56f4-4b0e-9330-026309882ce5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a62a3040-56f4-4b0e-9330-026309882ce5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-048aad8c-b895-40ce-ae86-50e70e4d7da9' class='xr-var-data-in' type='checkbox'><label for='data-048aad8c-b895-40ce-ae86-50e70e4d7da9' 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([[ 2146089, 2048, 2099241, ..., 16777216, 16777216, 16777216],\n",
- " [ 2146089, 2048, 2099241, ..., 16777216, 16777216, 16777216],\n",
- " [ 2211625, 2048, 2099241, ..., 16777216, 16777216, 16777216],\n",
- " ...,\n",
- " [ 2146089, 2048, 2099241, ..., 16777216, 16777216, 16777216],\n",
- " [ 2146089, 2048, 2099241, ..., 16777216, 16777216, 16777216],\n",
- " [ 2146089, 2048, 2099241, ..., 16777216, 16777216, 16777216]],\n",
- " dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XTD10_SA3</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.674e+03 1.781e+03 ... 1.465e+03</div><input id='attrs-6ebe0c60-1349-48e9-be94-e828558f3453' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ebe0c60-1349-48e9-be94-e828558f3453' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7e7f684-e844-4f5e-adc7-162202f80191' class='xr-var-data-in' type='checkbox'><label for='data-a7e7f684-e844-4f5e-adc7-162202f80191' 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([[1673.9749, 1780.605 , 1452.1677, ..., 1836.0759, 1695.688 ,\n",
- " 1458.0745],\n",
- " [2012.4326, 1767.7134, 1716.7632, ..., 1651.4255, 1813.9778,\n",
- " 1431.3564],\n",
- " [1630.8784, 1645.9148, 1469.2832, ..., 1508.0568, 1385.6311,\n",
- " 1416.7161],\n",
- " ...,\n",
- " [1507.3145, 1752.1653, 1686.9208, ..., 1737.3125, 1577.063 ,\n",
- " 1616.5239],\n",
- " [2101.6008, 1569.2412, 1855.7173, ..., 1483.9696, 1664.9822,\n",
- " 1348.7126],\n",
- " [1564.1768, 1731.567 , 1535.6467, ..., 1721.9434, 1681.0325,\n",
- " 1465.4915]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spectrum</span></div><div class='xr-var-dims'>(trainId, newt_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>941.8 960.7 ... 1.302e+03 1.319e+03</div><input id='attrs-48baa7bb-053f-4b03-b3ae-9436b60a23e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48baa7bb-053f-4b03-b3ae-9436b60a23e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6497bc4-e3ab-46cf-8192-e82d08659f44' class='xr-var-data-in' type='checkbox'><label for='data-b6497bc4-e3ab-46cf-8192-e82d08659f44' 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([[ 941.7556739 , 960.7466906 , 985.17017035, ..., 1429.04684533,\n",
- " 1345.94695049, 1329.10718964],\n",
- " [1078.21605126, 1053.65423777, 1074.17111375, ..., 1328.01665665,\n",
- " 1424.27242218, 1363.57039719],\n",
- " [ 935.14152295, 949.06555853, 981.37960431, ..., 1409.16571326,\n",
- " 1329.469592 , 1194.42605757],\n",
- " ...,\n",
- " [1025.26416446, 1002.32687928, 985.82771752, ..., 1286.78458118,\n",
- " 1334.07242218, 1294.76001983],\n",
- " [1083.24435314, 1097.98065287, 1044.15601941, ..., 1231.7053359 ,\n",
- " 1391.47242218, 1360.74681228],\n",
- " [1022.09246635, 1066.147634 , 1049.91922696, ..., 1362.59590193,\n",
- " 1302.00732785, 1319.01190662]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spectrum_nobl</span></div><div class='xr-var-dims'>(trainId, newt_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-25.84 -7.057 17.15 ... -41.9 -25.1</div><input id='attrs-dc5974f5-52db-46c1-97f6-88458417fb16' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc5974f5-52db-46c1-97f6-88458417fb16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46a92e7e-8342-4a63-bf31-e73134d55547' class='xr-var-data-in' type='checkbox'><label for='data-46a92e7e-8342-4a63-bf31-e73134d55547' 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([[ -25.83624416, -7.0570592 , 17.15456166, ..., 113.93823559,\n",
- " 30.58586118, 13.49359361],\n",
- " [ 132.95311623, 108.13436457, 128.39426944, ..., -38.76150904,\n",
- " 57.18801513, -3.82028416],\n",
- " [ -4.23122332, 9.49350667, 41.60822133, ..., 142.82583547,\n",
- " 62.89216441, -72.38894537],\n",
- " ...,\n",
- " [ 22.22432542, -0.8607938 , -17.50780854, ..., 41.21831883,\n",
- " 88.32995832, 48.8413355 ],\n",
- " [ 80.40705362, 94.91392577, 40.85983533, ..., -147.51518149,\n",
- " 11.97845297, -19.02063816],\n",
- " [ -34.8527069 , 9.02766964, -7.37555092, ..., 18.90036362,\n",
- " -41.89654178, -25.10031672]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d49f9f59-de72-4395-b51c-20ba00881c51' class='xr-section-summary-in' type='checkbox' ><label for='section-d49f9f59-de72-4395-b51c-20ba00881c51' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>trainId</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b4d1f00c-1a1b-4d7e-940f-e13ba4c79909' class='xr-index-data-in' type='checkbox'/><label for='index-b4d1f00c-1a1b-4d7e-940f-e13ba4c79909' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1473952798, 1473952800, 1473952802, 1473952804, 1473952806, 1473952808,\n",
- " 1473952810, 1473952812, 1473952814, 1473952816,\n",
- " ...\n",
- " 1473954100, 1473954102, 1473954104, 1473954106, 1473954108, 1473954110,\n",
- " 1473954112, 1473954114, 1473954116, 1473954118],\n",
- " dtype='uint64', name='trainId', length=660))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>sa3_pId</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d1499bd9-c822-43c5-ad5d-2e37d90a46ae' class='xr-index-data-in' type='checkbox'/><label for='index-d1499bd9-c822-43c5-ad5d-2e37d90a46ae' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1056, 1088, 1120, 1152, 1184, 1216, 1248, 1280, 1312, 1344, 1376, 1408,\n",
- " 1440, 1472, 1504, 1536, 1568, 1600, 1632, 1664, 1696, 1728, 1760, 1792,\n",
- " 1824, 1856, 1888, 1920, 1952, 1984, 2016, 2048, 2080, 2112, 2144, 2176,\n",
- " 2208, 2240, 2272, 2304, 2336, 2368, 2400],\n",
- " dtype='int64', name='sa3_pId'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>newt_x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5111143b-1c38-4e7a-90b1-d7acf156d259' class='xr-index-data-in' type='checkbox'/><label for='index-5111143b-1c38-4e7a-90b1-d7acf156d259' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 515.884589, 515.9076505108267, 515.9307149777067,\n",
- " 515.9537824006401, 515.9768527796267, 515.9999261146668,\n",
- " 516.0230024057602, 516.0460816529069, 516.0691638561069,\n",
- " 516.0922490153603,\n",
- " ...\n",
- " 553.525404882067, 553.5528709123703, 553.5803398987268,\n",
- " 553.6078118411368, 553.6352867396001, 553.6627645941168,\n",
- " 553.6902454046867, 553.71772917131, 553.7452158939867,\n",
- " 553.7727055727166],\n",
- " dtype='float64', name='newt_x', length=1500))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-027fcb0a-bc9c-4f33-9fe9-411021548132' class='xr-section-summary-in' type='checkbox' ><label for='section-027fcb0a-bc9c-4f33-9fe9-411021548132' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>runFolder :</span></dt><dd>/gpfs/exfel/exp/SCS/202202/p002953/raw/r0322</dd><dt><span>vbin: :</span></dt><dd>4</dd><dt><span>hbin :</span></dt><dd>1</dd><dt><span>startX :</span></dt><dd>1</dd><dt><span>endX :</span></dt><dd>2048</dd><dt><span>startY :</span></dt><dd>1</dd><dt><span>endY :</span></dt><dd>512</dd><dt><span>temperature :</span></dt><dd>-50.04199981689453</dd><dt><span>high_capacity :</span></dt><dd>0</dd><dt><span>exposure_s :</span></dt><dd>0.0004</dd><dt><span>gain :</span></dt><dd>2</dd><dt><span>photoelectrons_per_count :</span></dt><dd>2.05</dd></dl></div></li></ul></div></div>"
- ],
- "text/plain": [
- "<xarray.Dataset>\n",
- "Dimensions: (trainId: 660, newt_y: 53, newt_x: 1500,\n",
- " PESsampleId: 700000, pulse_slot: 2700, sa3_pId: 43)\n",
- "Coordinates:\n",
- " * trainId (trainId) uint64 1473952798 1473952800 ... 1473954118\n",
- " * sa3_pId (sa3_pId) int64 1056 1088 1120 1152 ... 2336 2368 2400\n",
- " * newt_x (newt_x) float64 515.9 515.9 515.9 ... 553.7 553.7 553.8\n",
- "Dimensions without coordinates: newt_y, PESsampleId, pulse_slot\n",
- "Data variables: (12/21)\n",
- " newton (trainId, newt_y, newt_x) float64 943.0 800.0 ... 758.0\n",
- " PES_S_raw (trainId, PESsampleId) int16 -2 1 1 2 -1 ... 2 -1 3 -3 1\n",
- " PES_SSW_raw (trainId, PESsampleId) int16 -3 0 -3 -3 ... -3 -4 -4 -3\n",
- " PES_SW_raw (trainId, PESsampleId) int16 -5 -8 -7 -4 ... -9 -7 -6 -9\n",
- " PES_WSW_raw (trainId, PESsampleId) int16 -5 -6 -5 -5 ... 0 -3 -2 -7\n",
- " PES_W_raw (trainId, PESsampleId) int16 3 1 3 1 3 1 ... 4 2 3 0 3 1\n",
- " ... ...\n",
- " PES_NE_raw (trainId, PESsampleId) int16 -4 -5 -1 -5 ... -2 -2 -2 -1\n",
- " PES_ENE_raw (trainId, PESsampleId) int16 -5 -2 -5 -2 ... -7 0 -4 -1\n",
- " bunchPatternTable (trainId, pulse_slot) uint32 2146089 2048 ... 16777216\n",
- " XTD10_SA3 (trainId, sa3_pId) float32 1.674e+03 ... 1.465e+03\n",
- " spectrum (trainId, newt_x) float64 941.8 960.7 ... 1.319e+03\n",
- " spectrum_nobl (trainId, newt_x) float64 -25.84 -7.057 ... -41.9 -25.1\n",
- "Attributes:\n",
- " runFolder: /gpfs/exfel/exp/SCS/202202/p002953/raw/r0322\n",
- " vbin:: 4\n",
- " hbin: 1\n",
- " startX: 1\n",
- " endX: 2048\n",
- " startY: 1\n",
- " endY: 512\n",
- " temperature: -50.04199981689453\n",
- " high_capacity: 0\n",
- " exposure_s: 0.0004\n",
- " gain: 2\n",
- " photoelectrons_per_count: 2.05"
- ]
- },
- "execution_count": 6,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [],
"source": [
"data_train = v.from_run(runTrain) # load refNB. The `newton` variable contains the CCD images.\n",
"v.integrate(data_train) # integrate over the non-dispersive dimension \n",
@@ -817,7 +165,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": null,
"id": "294b5f3a-1d59-444e-80ab-4834d26d62dc",
"metadata": {},
"outputs": [],
@@ -830,7 +178,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": null,
"id": "b477bf49-f5ca-4df0-b6ed-a270ee35cd28",
"metadata": {},
"outputs": [],
@@ -840,7 +188,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": null,
"id": "8f154e38-d208-477e-9d9c-ef2a632514c8",
"metadata": {},
"outputs": [],
@@ -850,7 +198,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": null,
"id": "0c5ff2a0-0737-417d-9f57-158d4fbd8090",
"metadata": {},
"outputs": [],
@@ -878,66 +226,20 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": null,
"id": "63b35dac-ad50-4124-b6f8-e1ceea667b4d",
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "[<matplotlib.lines.Line2D at 0x2b563aa392d0>]"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"plt.plot(energy, vik[2])"
]
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": null,
"id": "d0b70fef-5e27-4cb1-90e7-2653989cf48a",
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "[<matplotlib.lines.Line2D at 0x2b563ab51330>]"
- ]
- },
- "execution_count": 12,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"plt.plot(-pes_data[\"channel_1_A\"][0,31400:31700])"
]
@@ -952,7 +254,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": null,
"id": "5690cf09-4fed-497d-a09d-0f3cdceea04d",
"metadata": {},
"outputs": [],
@@ -962,75 +264,10 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": null,
"id": "cb86aa32-dc1d-4684-bd62-25aa77a97245",
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Checking data quality in high-resolution data.\n",
- "Finding region-of-interest\n",
- "Excluding outliers\n",
- "Selected 585 of 650 samples.\n",
- "Fitting PCA on low-resolution data.\n",
- "Using 585 comp. for PES PCA.\n",
- "Fitting PCA on high-resolution data.\n",
- "Using 20 comp. for grating spec. PCA.\n",
- "Fitting outlier detection\n",
- "Fitting model.\n",
- "Calculate PCA unc. on high-resolution data.\n",
- "Calculate transfer function\n",
- "Resolution = 0.21 eV, S/R = 31.65\n",
- "Calculate PCA on channel_1_A\n",
- "Calculate PCA on channel_1_B\n",
- "Calculate PCA on channel_1_C\n",
- "Calculate PCA on channel_1_D\n",
- "Calculate PCA on channel_2_A\n",
- "Calculate PCA on channel_2_B\n",
- "Calculate PCA on channel_2_C\n",
- "Calculate PCA on channel_2_D\n",
- "Calculate PCA on channel_3_A\n",
- "Calculate PCA on channel_3_B\n",
- "Calculate PCA on channel_3_C\n",
- "Calculate PCA on channel_3_D\n",
- "Calculate PCA on channel_4_A\n",
- "Calculate PCA on channel_4_B\n",
- "Calculate PCA on channel_4_C\n",
- "Calculate PCA on channel_4_D\n",
- "End of fit.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "array([[[ 941.7556739 , 960.7466906 , 985.17017035, ...,\n",
- " 1429.04684533, 1345.94695049, 1329.10718964]],\n",
- "\n",
- " [[1078.21605126, 1053.65423777, 1074.17111375, ...,\n",
- " 1328.01665665, 1424.27242218, 1363.57039719]],\n",
- "\n",
- " [[ 935.14152295, 949.06555853, 981.37960431, ...,\n",
- " 1409.16571326, 1329.469592 , 1194.42605757]],\n",
- "\n",
- " ...,\n",
- "\n",
- " [[1045.26133427, 1036.86744532, 1038.0833779 , ...,\n",
- " 1217.20061892, 1229.75449766, 1324.46568021]],\n",
- "\n",
- " [[ 963.99623994, 917.30989815, 951.01639677, ...,\n",
- " 1184.09118495, 1213.19978068, 1246.6430387 ]],\n",
- "\n",
- " [[ 971.19057956, 997.87876607, 1054.56073639, ...,\n",
- " 1326.4308076 , 1305.95261086, 1344.42417077]]])"
- ]
- },
- "execution_count": 14,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"# exclude the last n_test train IDs so we can use them for validation later\n",
"pes_train = {ch: pes_data[ch][:-n_test, :] for ch in pes_data.keys()}\n",
@@ -1054,21 +291,10 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": null,
"id": "a084b920-0006-4859-80f9-ff81f3c1f6b0",
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.20807378189472026"
- ]
- },
- "execution_count": 15,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"model.resolution"
]
@@ -1083,33 +309,10 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": null,
"id": "f752a9e0-8484-4381-8bb5-5eb27bd82670",
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Text(0, 0.5, 'Intensity [a.u.]')"
- ]
- },
- "execution_count": 16,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 864x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"plt.figure(figsize=(12, 8))\n",
"plt.plot(model.impulse_axis, model.impulse_response)\n",
@@ -1127,7 +330,7 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": null,
"id": "4e612338-401e-4fd5-bef7-a6579af0d3d3",
"metadata": {},
"outputs": [],
@@ -1145,7 +348,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": null,
"id": "dc56d30b-7db8-49ce-82ed-d01d8b6670d8",
"metadata": {},
"outputs": [],
@@ -1157,7 +360,7 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": null,
"id": "0d8054bb-8ad6-4ee4-8d0c-8ac4ee990179",
"metadata": {},
"outputs": [],
@@ -1167,7 +370,7 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": null,
"id": "e087883a-43e3-4e19-9041-6740704d7df7",
"metadata": {},
"outputs": [],
@@ -1185,7 +388,7 @@
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": null,
"id": "a5bd5573-afc9-45b3-9f25-7c713e08dfa9",
"metadata": {},
"outputs": [],
@@ -1203,7 +406,7 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": null,
"id": "44e5df6a-dfc9-47ab-9f37-03fdd0687698",
"metadata": {},
"outputs": [],
@@ -1257,79 +460,407 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": null,
"id": "c8ffc289-c10a-48bb-b1e0-1ebeb61880dd",
"metadata": {},
+ "outputs": [],
+ "source": [
+ "plot(vs_test, 0)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "8c61b6fe-111f-4c2f-91b6-2fb83c56c9d7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plot(vs_test, 1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "373ca950-0378-4d7d-96ca-57ad951ebbf3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plot(vs_test, 2)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1f0f3f20-060a-488a-9f61-6b4cb3cf1614",
+ "metadata": {},
+ "source": [
+ "# Inference: Apply it in new data without Viking"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "377c6993-a1a4-45c7-ae6b-2b533d893b6f",
+ "metadata": {},
+ "source": [
+ "The configuration for inference must be the same as in training. This can be checked as follows."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "3aecfa9c-6335-4c92-9483-d2192ca159c1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "runTest = 321"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "9e2388e6-5b88-4c10-901b-1538d9fa0870",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from pes_to_spec.config import VSConfig\n",
+ "\n",
+ "training_config = VSConfig.load(proposal, runTrain)\n",
+ "inference_config = VSConfig.load(proposal, runTest)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "8b916fa4-e1ef-43b0-93a5-0967892c2d70",
+ "metadata": {},
"outputs": [
{
"data": {
- "image/png": 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iIiIiIiIiIn2dCrwiIiIiIiIiIiIivZQKvCFywAEH8L///c9v35133smoUaO46aabADj77LN54YUXAq791a9+xfLly7slThERERGR3qS1PPuCCy7gtdde69Zcu7q6mtmzZ9PY2Ngl9+uMxx57jAsvvLBL7pWUlBSwr6SkhHvvvbdD92nre+RyubjooouYNGkSkydPZsaMGaxbt26n4g7WNddcw6233trmOUuWLOHNN9/0bPv+THVUQUEBc+bM6dS1IiIiHaECb4jMnTuXZ555xm/fM888w/z587niiivavPbf//43EyZMCGV4IiIiIiK9Umt59ty5czn66KO7Ndd+5JFHOP7444mMjOyS+/VEnSnwtvU9evbZZ9myZQvLli3ju+++4+WXXyYtLa3N+3VnAb15gTeYn6nWZGVlMWTIED777LOuCk9ERKRFKvCGyIknnsgbb7xBbW0tAOvXr2fLli2sXr26xb+w//Wvf+Xss8/G5XJxwAEHsGjRIsD5K/pf/vIXpk6dyqxZs9i2bRsAa9asYdasWcyYMYOrr766xb+2i4iIiIj0Na3l2fvuu2+r3ayhyrWfeuopjjnmGM/2LbfcwuTJk5k6daqnKLhkyRJmzZrFlClTOO644yguLgacLtfLL7+cmTNnMnbsWD799FMA9txzT3744QfPPQ844AC++eYbioqKOPbYY5kyZQqzZs1i2bJlfrGUlpYyYsQIXC4XAFVVVQwdOpT6+nrWrFnDnDlz2GOPPdhvv/346aefAFi3bh177bUXM2bM4K9//WuL7/GKK65gzZo1TJs2jcsuuwxrLZdddpmnA/fZZ5/t0PcoPz+fIUOGEBHh/Cqam5tLenp6wD1GjBjBddddx7777svzzz/PO++8w1577cXuu+/OSSedREVFhSe+CRMmMGXKFC699FIANmzYwEEHHcSUKVM46KCD2LhxY8D9fX8OCgsLGTFiBHV1dVx99dU8++yzTJs2jWeffdbvZ6q1+5599tlcdNFF7L333owaNcqvc/zYY4/lqaeeavFrKyIi0lX6RYHXmNB9tGbAgAHMnDmTt99+G3D+Yn3KKadgWrjoT3/6E9u3b+fRRx/1JDpNKisrmTVrFkuXLmX//ffnoYceAuDiiy/m4osv5uuvvyY7O7vrvlgiIiIiIkHq6Xk2hC7XrqurY+3atYwYMQKAt956i1deeYUvv/ySpUuX8qc//QmAefPmcfPNN7Ns2TImT57Mtdde67lHQ0MDX331FXfeeadn/6mnnspzzz0HQH5+Plu2bGGPPfbgb3/7G7vtthvLli3jxhtvZN68eX7xpKamMnXqVD7++GMAXn/9dQ499FCio6M599xzufvuu/nmm2+49dZbueCCCzzv8/zzz+frr79m8ODBLb7Pm266iV122YUlS5bwz3/+k5deeoklS5awdOlS3nvvPS677DLy8/OD/h6dfPLJvP7660ybNo0//vGPfPvtty2+LkBcXBwLFizg4IMP5vrrr+e9995j8eLFTJ8+ndtvv52ioiJefvllfvjhB5YtW8ZVV10FwIUXXsi8efNYtmwZp59+OhdddFGrr+ErJiaG6667jlNOOYUlS5Zwyimn+B1v6775+fksWLCAN954w6/jd/r06Z7ivYiISKj0iwJvuPg+mtT0SFJzf//73ykpKeGBBx5oMSmNiYnhyCOPBGCPPfZg/fr1ACxcuJCTTjoJgNNOOy1E70BEREREpOcJJs+G0ObahYWFflMLvPfee5xzzjkkJCQAkJGRQWlpKSUlJcyePRuAs846i08++cRzzfHHHx/w2ieffDLPP/88AM8995wnjgULFnDmmWcCcOCBB7Jjxw5KS0v9YjrllFM8HbVNRdWKigo+//xzTjrpJKZNm8ZvfvMbT0H2s88+83ztmu7dngULFjB37lwiIyMZNGgQs2fP5uuvvw44r7XvUW5uLitWrOAf//gHERERHHTQQbz//vstvlZTgfWLL75g+fLl7LPPPkybNo358+ezYcMGUlJSiIuL41e/+hUvvfSS52u/cOFCz/ftzDPPZMGCBUG9t/a0dd9jjz2WiIgIJkyY4OkEBxg4cCBbtmzpktcXERFpjQq8IXTsscfy/vvvs3jxYqqrq9l9990DzpkxY4bnkauWREdHe5LRyMhIGhoaQhqziIiIiEhPF0yeDaHNtePj46mpqfFsW2tb7SJuTWxsbMBr5+TkMGDAAJYtW8azzz7Lqaee6rl/c81f7+ijj+att96iqKiIb775hgMPPBCXy0VaWhpLlizxfPz444+t3qM9LcXRkra+R7GxsRx22GH885//5M9//jOvvPJKi/dITEz0vObPf/5zT/zLly/n4YcfJioqiq+++ooTTjiBV155pdUFzVp6j1FRUZ7pLHy/jx3he9+m72VTvE1qamqIj4/v1P1FRESC1S8KvNaG7qMtSUlJHHDAAfziF79otatgzpw5XHHFFRxxxBGUl5cH/Z5mzZrFiy++CBCwgIGIiIiISHfoyXk2hDbXTk9Pp7Gx0VMcPOSQQ3jkkUeoqqoCoKioiNTUVNLT0z2P6D/xxBOebt62nHrqqdxyyy2UlpYyefJkAPbff3/PXK4fffQRmZmZpKSk+F2XlJTEzJkzufjiiznyyCOJjIwkJSWFkSNHerqCrbUsXboUgH322cfz/lqbJzY5Odnva7f//vvz7LPP0tjYSEFBAZ988gkzZ84MuK6179HixYs9Ha0ul4tly5YxfPjwNr8es2bN4rPPPmP16tWAM7/wypUrqaiooLS0lMMPP5w777yTJUuWALD33nv7va9999034J4jRozgm2++AfCbM7f5+/UVzH2bW7lyJZMmTWr3PBERkZ3RLwq84TR37lyWLl3q+ct7S0466SR+/etfc/TRR1NdXR3Ufe+8805uv/12Zs6cSX5+PqmpqV0VsoiIiIhIjxdMng2hzbUPOeQQz2P6c+bM4eijj2b69OlMmzaNW2+9FYD58+dz2WWXMWXKFJYsWcLVV1/d7uufeOKJPPPMM5x88smefddccw2LFi1iypQpXHHFFcyfP7/Fa0855RSefPJJv/ljn3rqKR5++GGmTp3KxIkTefXVVwH417/+xT333MOMGTMCpntoMmDAAPbZZx8mTZrEZZddxnHHHceUKVOYOnUqBx54ILfcckur8/e29D3avn07Rx11FJMmTWLKlClERUW1uDCer6ysLB577DHmzp3rWWTup59+ory8nCOPPJIpU6Ywe/Zs7rjjDgDuuusuHn30UaZMmcITTzzBv/71r4B7Xnrppdx3333svffeFBYWevb/7Gc/Y/ny5Z5F1nwFc9/mPvzwQ4444oh2zxMREdkZJthHbHqb6dOn26ZVUfuiqqoq4uPjMcbwzDPP8PTTT3sSNREREZEw6diz3tIr9fU8G4LPtb/99ltuv/12nnjiiTBEKb3B/vvvz6uvvkp6enq4QxERkd6v1Vw7qjujkK7zzTffcOGFF2KtJS0tjUceeSTcIYmIiIiI9AnB5tq77bYbP/vZz2hsbCQyMrKbo5SerqCggEsuuUTFXRERCTl18IqIiIhIV1EHbz+gPFtEREQkLFrNtTUHr4iIiIiIiIiIiEgvpQKviIiIiIiIiIiISC+lAq+IiIiIiIiIiIhIL6UCr4h0m5Ur4bjj4G9/gz46/beIiIiIiIiISLdSgTeEIiMjmTZtGpMmTeKkk06iqqqq0/c6++yzeeGFFwD41a9+xfLly1s996OPPuLzzz/3bN9///08/vjjnX5tka5y9tnwyitw3XXw9tvhjkZERER6K+XZ0m/ZxnBHICIiPZAKvCEUHx/PkiVL+P7774mJieH+++/3O97Y2Ln/Of/73/9mwoQJrR5vnnied955zJs3r1OvJdKVFi70jl98MXxxiIiISO+mPFv6JVcN1CwOdxQiItIDqcDbTfbbbz9Wr17NRx99xM9+9jNOO+00Jk+eTGNjI5dddhkzZsxgypQpPPDAAwBYa7nwwguZMGECRxxxBNu3b/fc64ADDmDRokUAvP322+y+++5MnTqVgw46iPXr13P//fdzxx13MG3aND799FOuueYabr31VgCWLFnCrFmzmDJlCscddxzFxcWee15++eXMnDmTsWPH8umnn3bzV0j6m+rqcEcgIiIifYHybOk3ahZD3YpwRyEiIj1Q/ynwXnMNGBPcx7nnBl5/7rn+51xzTdAv3dDQwFtvvcXkyZMB+Oqrr7jhhhtYvnw5Dz/8MKmpqXz99dd8/fXXPPTQQ6xbt46XX36ZFStW8N133/HQQw/5dQo0KSgo4Ne//jUvvvgiS5cu5fnnn2fEiBGcd955/OEPf2DJkiXst99+ftfMmzePm2++mWXLljF58mSuvfZavzi/+uor7rzzTr/9IqFQUxPuCERERKRLKM8GlGdLN3CVge38dCQiItJ3RYU7gL6surqaadOmAU5nwS9/+Us+//xzZs6cyciRIwF45513WLZsmWfer9LSUlatWsUnn3zC3LlziYyMJDs7mwMPPDDg/l988QX777+/514ZGRltxlNaWkpJSQmzZ88G4KyzzuKkk07yHD/++OMB2GOPPVi/fv1OvXeR9qjAKyIiIp2lPFv6JVsNrspwRyEiIj2QCrwh1DQ3WHOJiYmesbWWu+++m0MPPdTvnDfffBNjTJv3t9a2e05HxMbGAs6iFQ0NDV12X5GWaIoGERER6Szl2dIvuaqcDxERkWb61xQN1gb38eCDgdc/+KD/OR14dKwthx56KPfddx/19fUArFy5ksrKSvbff3+eeeYZGhsbyc/P58MPPwy4dq+99uLjjz9m3bp1ABQVFQGQnJxMeXl5wPmpqamkp6d75v164oknPF0GIt2tC39nEhERkXBSnq08W7qHrQFb73yIiIj4UAdvmP3qV79i/fr17L777lhrycrK4pVXXuG4447jgw8+YPLkyYwdO7bFBDErK4sHH3yQ448/HpfLxcCBA3n33Xc56qijOPHEE3n11Ve5++67/a6ZP38+5513HlVVVYwaNYpHH320u96qiJ/o6HBHICIiIn2Z8mzpc6z7EThbB0bJtIiIeBlrbbhjCInp06fbphVwRaQb1a2G6OEBSWdjI0T5/Enp8MPhv//t5thERCTU9HxGP6A8WyRMtt4MW7fCpKsgakC4oxERke7Xaq7df6ZoEJHuUfk2NGwN2N18UbV6PVkmIiIiIhKc/HwYcgXsdidcf1Pr57m00IWISH+kAq+IdB3bCA2FLa7uW9VsPQitLyIiIiIiEqTsbO/42luhuDjwnMZyqPqo20ISEZGeQwVeEek6nnnBAlf3rW7WTKAOXhERERGRTlq5MnBfw4YWn6QTEZG+TwVeEek6TY+EBdHBqwKviIiIiEgQms91BrBtW+C+hgJoLAp9PCIi0uOowCsiXcfduVtXEzj3lwq8IiIiIiKdUNRC0balAq+rFFzlzrRpIiLSr6jAKyJdx1XDDXfsR9Lggzn/fP9DmqJBRERERKQTsrOh5Ds4cYp3X4sF3jLns9VCayIi/Y0KvCFUUlLCiSeeyLhx4xg/fjwLFy4EYMmSJcyaNYtp06Yxffp0vvrqKwA+++wzpkyZwowZM1i9erXnHoceeijW2rC9D5Gg2Rqu+sdB1NdHcP/9sNVnCjB18IqIiEhXUZ4t/U4cbMncxbvd0iJrTdOkuQLXwxARkb4tKtwBdJuCa7r2flnt3+/iiy9mzpw5vPDCC9TV1VHlrnD96U9/4m9/+xuHHXYYb775Jn/605/46KOPuO2223jxxRdZv3499913H7fddht///vf+fOf/4wxpmvjFwmBpUv9/2a0cSMMHuyMVeAVERHpo5Rni4Tcs8/Fc8H9D5FubuH2uzdx9C/3CjzJ1jqfVeAVEel31MEbImVlZXzyySf88pe/BCAmJoa0tDQAjDGUlTmPz5SWlpKdnQ1AdHQ01dXVVFVVER0dzZo1a8jLy2P27Nmtvs6IESMoLCwEYNGiRRxwwAEAXHPNNfziF7/ggAMOYNSoUdx1112eax5//HGmTJnC1KlTOfPMM7v6rUs/9pvfDffb3rDBO9YUDSIiItIVlGdLf3TNDUMoYgBr7Gj+eMdMiIsLPMm6E2yrAq+ISH/Tfzp4u9natWvJysrinHPOYenSpeyxxx7861//IjExkTvvvJNDDz2USy+9FJfLxeeffw7AlVdeybnnnkt8fDxPPPEEl156KX//+987HcNPP/3Ehx9+SHl5Obvuuivnn38+K1eu5IYbbuCzzz4jMzOTopYm7BfpjJoaFn2d4LPDkpfn7YhRB6+IiIh0BeXZ0t/s+GErjSvKyCKNEtJYvSaR0lJITW12oq1zf9YcvCIi/Y06eEOkoaGBxYsXc/755/Ptt9+SmJjITTfdBMB9993HHXfcwaZNm7jjjjs83QfTpk3jiy++4MMPP2Tt2rVkZ2djreWUU07hjDPOYFtLE+m34YgjjiA2NpbMzEwGDhzItm3b+OCDDzjxxBPJzMwEICMjo2vfuPRfN99MA9FYDBbDEqZRWuo9rAKviIiIdAXl2dLflPzjPlayK9sZxJ+5EYAff2x20kcfwZYdztilAq+ISH+jAm+I5Obmkpuby5577gnAiSeeyOLFiwGYP38+xx9/PAAnnXSSZ/GHJtZarr/+ev76179y7bXXcu2113LGGWf4Pf7VJCoqCpfLBUBNTY3fsdjYWM84MjKShoYGrLWaZ0xCY8cOv81stvgVeGtr/U/3LfB+8w08/nhgEVhERESkOeXZ0t9UbC7xjC2GHDZT+PU6/5OOOw6m3gFTb4fNG5VYi4j0MyrwhsjgwYMZOnQoK1asAOD9999nwoQJAGRnZ/Pxxx8D8MEHHzBmzBi/a+fPn88RRxxBeno6VVVVREREEBER4Vk8wteIESP45ptvAHjxxRfbjeuggw7iueeeY4e7GKdHx6TLuOeoazKAHZQVNXi26+r8T28q8Oblwd57w1lnwXXXhTpIERER6e2UZ0t/U7OtxDO+lmvYzFD2vm6O94SKCihxn5NfDrueDk880a0xiohIeGkO3hC6++67Of3006mrq2PUqFE8+uijADz00ENcfPHFNDQ0EBcXx4MPPui5pqqqivnz5/POO+8AcMkll3DCCScQExPD008/HfAaf/vb3/jlL3/JjTfe6OliaMvEiRP5y1/+wuzZs4mMjGS33Xbjscce47XXXmPRokVcpwqbdFazDt4ILA2FJYDzmGJrHbx33ukt/t58M7ifsBQRERFplfJs6Veairc+IqvLvRstTTGSlxe6eEREpMcx1tpwxxAS06dPt4sWLQp3GCL9Ql0dVE2eSdrKr/32n77XWp76fCQAf/4z3PQPF3vzOesZQR65uFzwm9/AQw95r+mj/ySJiPQXej69H1CeLdK9FqfMZvfyT/z2VUcnE19X5mx89hnsu6//RRdcAPfc000RiohIN2k119YUDSKy037/e9i+siRgvy3zdhbU1sKfuZEF7MdyJpDLJhoaoNmUdiIiIiIi4iOupiRgX2x9hbczYvv2wIuaPV0nIiJ9mwq8IrLT7rsP0ikO2B9T6y3wNlbXcT1/BSCFcn7Fv9mxI3DqBhERERERcbhckFhfErA/AguVlc5GeXnAcRV4RUT6FxV4RaQLWNIoCdgbU1fhGQ/K/9bv2G58y/btsHZtsztpigYREREREcBZx9g3z64j2nuwwp1rNxV6fdTmFXg3GgrAukIUoYiI9AQq8IrITqmshEQqiaYh4FhsnbebICf/G79jw9jI1q2wdKn/NdXVIQlTRERERKTXyd/cSCrOXLsuDHnkeA82de62UOCty/fp4K1bAa7Ap+1ERKTvUIFXRHZKQQEtdu8CxNV7C7zJFfl+x0awng0boL7e/5qysq6OUERERESkdypYXeoZV0WlUEaKZ7uuqPUO3piKIu9GYxE0qsArItKXqcArIjtlx47gCrxP7Xod6XgTzTRK2bGpKuCaFvJTEREREZF+acfGSrYxkDqiqY5NoyY62XOsLK/1Dt7Yhirn0bjGMqhf4xR5RUSkz1KBV0R2SlkZ/MBEUihlOOuZw1vsyRdM4AeeijrLc15tnaGEdPLI9uyr3xq4+IMKvCIiIiIijlU1QxnMNmKp5c7f/ERDTILnWNk2d7OEy0W9iQ68eMcOqPkaGktV4BUR6eNU4BWRneJMqWAoJ4WNDOd/zOEr9uRHJrCjIdVzXl2d87mQTM++hq2FAfdTgVdERERExJHvmeXMMHBYHDYuHoBq4qgodq+Bceut7JJTSjR1rGCs59qGbTug0b3YWmNgY4WIiPQdKvCKyE5pa85c3/l1a2udz3N5mtGsIo1iljAt4JqqwFkbREREpBljzB+MMT8YY743xjxtjIkzxmQYY941xqxyf073Of9KY8xqY8wKY8yhPvv3MMZ85z52lzHGhOcdiUhLtmzxjocMgTv3fp4IGkmgmjXjjwTAWti2PYYGojmGVxnFGlIpYUvmFO/cu+rgFRHp01TgFZGd0rzA+9JL3nFT1y7AwNJVDGMD2xnIWkZRShpFxYG/Q6qDV0REpG3GmBzgImC6tXYSEAmcClwBvG+tHQO8797GGDPBfXwiMAe41xgT6b7dfcC5wBj3x5xufCsi0o58n3WKs7MhKSMG6/41vqTE2V9TA3V1zn/SKxjHOkZRRiobNxlwlUJ1PTSWOJVgERHpk1TgFZGdUlYGg8lnFGu49ryvOPaoRsASRzUJjWW4XM55D323JxsYQSFZpON0EhS10EigAq+IiEhQooB4Y0wUkABsAY4B5ruPzweOdY+PAZ6x1tZaa9cBq4GZxpghQIq1dqG11gKP+1wjIj1A6vqlHM5/mc7X5CYUkZbmPdZU4G363NzG1Wvg8c9h1D9gxh3w0+IQRysiIuGiAq+I7JSSEriMf7KG0Vx9/56Yo46knmiqSeAFTvRM05DgqvBcU0mi59rmNEWDiIhI26y1ecCtwEYgHyi11r4DDLLW5rvPyQcGui/JATb53GKze1+Oe9x8v4j0AC4XHFnwCP/lSL5mJjnvPtZigbfmk6+YxUIms4xYajzHN61ZC7UNVByyO7WuaLjzzu4MX0REupEKvCKyU5YuhTRKvDsGDyaKRgCSKXemaaivJ9o6ld4GIommnuGsJ7lkU8D91MErIiLSNvfcuscAI4FsINEYc0Zbl7Swz7axv6XXPNcYs8gYs6igoKCjIYtIJ+zYAZmu7Z7t6JyBDInczu58wz4sIHLDWgAG/2keC9mbZUxlF9aQQCWjWEPlT5UsLR/HA/87gIpNDaz9KL+1lxIRkV5OBV4R2SlLljQr8GZne4YJVDkdvD5V2ygaKSeF9Yzk6qrLA+6nDl4REZF2HQyss9YWWGvrgZeAvYFt7mkXcH9uqgxtBob6XJ+LM6XDZve4+f4A1toHrbXTrbXTs7KyuvTNiEjL8vNhIN4CLwMHMmPJQ3zDdBawH7t/85Czv8qbax/LK1SSxBpGc9CCf3P764fyR9dtDKCIxlUb1UwhItJHqcArIjuloqL1Am881U4HbyuZZCaFAftqa7s4QBERkb5nIzDLGJNgjDHAQcCPwGvAWe5zzgJedY9fA041xsQaY0biLKb2lXsah3JjzCz3feb5XCMiYbZlS2CBNzol3rPpqqoGIKLam2tXZY3wjGNKSnn1x7082yPsOj75oCF0AYuISNiEtMBrjPmDMeYHY8z3xpinjTFxxpgMY8y7xphV7s/pPudfaYxZbYxZYYw51Gf/HsaY79zH7nInoCISZtZCdTWeRdMAGDLEM2yvwDuAHQH7ampaOFFEREQ8rLVfAi8Ai4HvcHL6B4GbgJ8bY1YBP3dvY639AXgOWA68DfzWWtvovt35wL9xFl5bA7zVfe9ERNrSUgdvbJq3wIu7wBtV6821Y8bv4hnvVbMAGlzk4TRgRNPAuo83hjZoEREJi5AVeI0xOcBFwHRr7SQgEjgVuAJ431o7BnjfvY0xZoL7+ERgDnCvMSbSfbv7gHNxug3GuI+LSJjV1zuLP/h14uZ6n/SMp9qZoqHCu8BaKSmecdN1w1nPwbxLLDUq8IqIiATBWvs3a+04a+0ka+2Z1tpaa+0Oa+1B1tox7s9FPuffYK3dxVq7q7X2LZ/9i9z32MVae6G1tsU5eEWk++VvbvTPs7OyiEv3FnhNTTU0NBDZUAeAC0PCpFF+9yghnRyfmVdKFq0ObdAiIhIWoZ6iIQqIN8ZEAQk4c3odA8x3H58PHOseHwM8405O1+F0Ecx0zx+WYq1d6E44H/e5RkTCyCnGWv/OguHDPcOWOng3MswzHsAOBrKNH5jIuxzCBxxIbY1+rxQRERERKVtfRCQuAKoT0iE6mrgMnwJvXY1fnl1FArG5WRRFDGj1ntEbVOAVEemLQlbgtdbmAbfizBGWD5Raa98BBrnn+8L9eaD7khxgk88tNrv35bjHzfeLSJhVV0MqpcTidA2QlAQDvAllPNXU1VpshTfxzGcI9UQ5p1PJYbxFIs7KanuzkOSCtd33BkREREREeqiaDds84/o0Z3HDBJ8Cb2RdtV+Bt5JE0tINm5N3bfWeKdtV4BUR6YtCOUVDOk5X7kggG0g0xpzR1iUt7LNt7G/pNc81xiwyxiwqKCjoaMgi0kHV1YHzghEVRYO7gBuBpaGqjoYyb+JZQRKFZHq2D+dNv3um71DSKSIiIiLSsCXfM7ZZTl9UQkacZ190QzWNZc0KvGnw6T5/9LvPXXF/8IyzqtZTXR2igEVEJGxCOUXDwcA6a22BtbYeeAnYG9jmnnYB9+em6tBmYKjP9bk4Uzpsdo+b7w9grX3QWjvdWjs9KyurS9+MiASqroZBeDsLGDQIgNpIb2dBQ3k1jbWNVJCIC0MliWxlsOf4yTzvd88BRatCG7SIiIiISG+w3dtIETnEyZ8jEr15djzVVG4PLPAmnnAIP+cdXuI49uYzCqfv6TlnCPls3IizWrKIiPQZoSzwbgRmGWMSjDEGOAj4EXgNOMt9zlnAq+7xa8CpxphYY8xInMXUvnJP41BujJnlvs88n2tEJIyqqyGOGrYyiEYinA5eoDbCm3g2VlRTdeTJJFNBJI38gkf8CrzNZZapg1dERERE+jdr4ZPSacxnHqWkEDvMPbNhvH+Bt2JbYIH3yKNi+DxhNifwEgvZm4PmxlFvotnIULYymA1rd0C9pkUTEelLokJ1Y2vtl8aYF4DFQAPwLfAgkAQ8Z4z5JU4R+CT3+T8YY54DlrvP/621ttF9u/OBx4B44C33h4iEWXU1vMfPGcJW9p6+hc+eSgXg/D2/5YMF0VQTz8vJidTWNl1haCC61QJvLpsYNyKT47onfBERERGRHmnHDviuYSJnM5+ByaVs+2u5c6BZgbe8KpJ10WOIqa9kK4MZlwaZWTE88+Dz3PvINI497Cdmn53N2Z+uZP4zIwB48Ke3YXYSxOzS/W9MRERCImQFXgBr7d+AvzXbXYvTzdvS+TcAN7SwfxEwqcsDFJGd4jt/V1wCkJgIQHlyNoXu/XX1UFfnf11eC+skzuEt8shleG1NaIIVEREREekl8r3T7zIg2wW57lkLExMpih5IWX08eeQQOWwWp6b/yPbtkc51ac5pRx2+jaMOeQpid4X4aeQM3eq5X96WOHBVdNM7ERGR7hDSAq+I9G2+Bd74eO88XjEx3v319fh08Dr+jwu5m98xgB1MZSkT+YFv2c19T1coQxYRERER6fG2+Kw6M2SQT7fEiBH84vBtvOqetPDFYigp8c68mJbmHkQkA4UQMwFMNDm53l/987Ymg6sQERHpO1TgFZFO8y/wesfR0d5xXR2YH75nf3ZQSSLrzSi2WWeKhu0M4kcm+N2zqlILPoiIiIhI/5a/xQIGgOzsBr9jqane8datUFfnnBcbC3Fx7gMRyc7nKOfJuZxcb7K+ZWsyuMpDEreIiISHCrwi0mnV1XAI/wNg1xoDNQMgLo40ShhGKfFU4yrNIePVW/iYJwC4IPYR7qs5p4W7WVIoY2DJOigZ4dN+ICIiIiLSvzQsWsT9/JsfGc9o1wjwmeLMN01ev54W9xM5COJ2g8gBAIw02zmCBQwhn9J1o8BWhS54ERHpdirwikinVVfD3fyOsayCt4G1P8CECVzwxTwe4nUA3v/uFaj0ru7bGJ8ELUyz+x9OYy7PQAHw9tNw0uEQmdIt70NEREREpCdJ+mEhp/IgAD+uOg441nPMt5BrlyzhVH6kkkSqEyYC7oXT4vYAEwXG6e4d+d7DvMEtAHy+YR94YzScYT3HRUSkd1OBV0Q6r6CAUaz1bmdnA9AQ430EzFZVY3wKvDYhEYr9bxMT08COugGebdem1USUvwhpLXX6ioiIiIj0bUmbVnjG9aPH+h2bsu0djqeceKqZtuxb/sntANxffz3wF+ekiDi/axInjfKM9274DOZ9BtV7w7nnhuYNiIhIt4po/xQRkUA1NfDG1V8SRSMAG4fs4WknaPQp8FJdjan2FnhJTAy418DMWgqih3i2G1a9A/UbwNaHJHYRERERkZ4sc8dKzzhq4ji/Y0c8dRovciJPcibxJT6rsbWQZzeJGDs6cOf55+90nCIi0jOowCsinfLOO5DLZs924eDxnnFDTIJnbGqqiajyFnhNUmDimT4ggdL4bO/1W9znuyq6MmQRERERkV4ht8LbwZs4faLfMVest5kiubbQM24pz/aYOjVwn8sFVgsci4j0BSrwikin/PSTf4G3PGWoZ+zy6eA11VVE1LRd4M3IMJQlejt4Ny2O4LW3d1WBV0RERET6HVteQW7jJgAaiCRzryn+J8R7c+1MvAXeyNQ2CryZmaxLmRi4f8eOnYpVRER6BhV4RaRTEhJgOBs825vtMM/Yt6sgoraaSJ8Cb0RKUsC90tOhMsVb4G3Mr+SYeXP5bEFjV4ctIiIiItKjlX7tnZ5hbcQuJGbE+h03rRR4Y9LaKPACTx/yfzyAM+fu1uwxcOTBUFvbFSGLiEiYqcArIp1SUwPj+MmzvTbKOzeYjfPp4K3xL/DahESio/3vlZEBNQNyPNtD2QRYTjtrCCIiIiIi/Un5Vz96xhvjxwYcN4ktF3jjBrRd4DVTJ3IeD2Cw3Hbso/DCvyAnp81rRESkd1CBV0Q6ZUue9SvwHnmZdw5e3wJvRG01UbX+i6zFxPjfKzUVXOkDKCMZgGQqyKKAjZv8uxVERERERPq6+mXeAu/2jMACb2SSN9eOp8Y7zmy7wJs9JMozztuaAramjbNFRKQ3UYFXRDrM5YLn79xMMs4cuaWRaex26EDvCT6PjUVXlxHZWA84c4hFxMUEdPDGxUFyimENu3j2jWZ16N6AiIiIiEgPZTas9YzLBo8JOB7lU+D1lTgocCo0Xzm53i6LvPxkcKnAKyLSV6jAKyIdtn49jMfbWVCRMwKM8Wz7dvDGVpdQMGQyaxnJOkYSE2sCOnijoyE5GZYzAYB6otiNb0P5FkREREREeqSI7fmesR0yLOC4SWi5wJs0uJ0C79AEzzgvXx28IiJ9iQq8ItJhDQ1QSCYP8SsWsA9bh0/zO24S4nFhqCSBiqg0Hv7dUnZhLWNZRWwsAQXemBhISYGvmEkjEfyR21jKVHZjMSxf3n1vTEREREQkzD4dfzZXcy33cj6u0eMCT4hvucCbmtNeB6/TkLErP3F43tPYWx6H11/f6XhFRCT8oto/RUTEX0UFfMvunMtDAPzj0BL28Dmet/dJRD54MmA4fSaMqW0EIgGnmNtSgTc5Ge7idC7jn9zFxd6D154Mzz4b0vcjIiIiItJTfJB+FI+SAcBD41s4oVmBdwH7kEQFg9sp8KakQFJSPftUfMZd9RfCdcDZBo46qosiFxGRcFEHr4h0WEWF/3Z1bYLfdmx8BOB0CNTVQV1do/dYKx28qamwg0yGs4FjeMVzzObldWXoIiIiIiI92rZt3vHAgS2cMHo0y5P24CNmcywvsx8L2I0lZOS03NnrK3uIi2LSvTuKi3c+YBERCTt18IpIhwUUeGv8K7a+BdzaWqitcfkda77IWtMcvAAuIlmJd7Vgu70Ag4iIiIhI/7C9INIzbrHAe/nlXLngPF57I9WzKykpsImiJTm5sRSv8inwFhXtRKQiItJTqMArIh3WvMC7zz7+27Gx3nFa6QamLX2bExjAekYQEzO9xQ7ejAzvdhE+GzuUdIqIiIhI/7G9wPtr+qBBLZ+Tlmr9tgcMCO7eOTmwzDfXVgeviEifoAKviHTcunU8yVXkM4TvmcTRR5/tdziOGmawjHiqOXrNS5yw+S7OAF7gBApjX2i3wOv72JgpLQZrwaiPV0RERET6NvvkU7yw+U42k8sLnMjAgae3eF5mpstve9iw4O6fkwMfow5eEZG+RgVeEemw6I1rOJn/ALAyey+MOdvveFJ5Pl+xp7Ox2bu/gqRWF1nzLfDWE0MFiSRRiWlshPJyZ1UIEREREZE+rO67Fcywi5jBIn6KmkRiYsvn7TKqkWzyOJvHqCCJkRHDgWPbvX92NpqDV0SkD1KBV0Q6LHJ7vmdcnTI44HhUcssLPFSSSGorBd7MTP99RWSQRKV7o0gFXhERERHp82rW5tE021llak7LJ61Ywc9+epkcFnIMrwGwft1+BFPgzclxmi7qiSKaBqiudhbN8J1jTUREep2IcAcgIr1PbIG3LbcmIzDxjEpJaPG6CpKIjW15kTXfDl5QZ4GIiIiI9D+uTXmecc2AVgq8X33F+Puu9BR3AVKGtNLq20xODoChDJ/midLSTkQqIiI9iQq8ItJhSQVrPePqwbsEHI9OabmDt60pGppPseu30JrmBhMRERGRfiAi39tI4Rqc3fJJCYHNFOlDk4K6f467ZlxCmnenCrwiIr2eCrwi0mFpxes84/qcwAJvXHI0DUQG7G+rwNucOnhFREREpL+J2eGdCs3kttLB28LEvCYpuALv4MFOY0Upqd6dZWUdilFERHoeFXhFpMPSyjd5xq6hwwOOp6ZCNYFdvE1TNLRW4L37bu++IjIoJ4nStFYSWxERERGRvqS2lvhK58m1BiKJH5bV8nmpqYH7WluNrZnoaBg4EN7hEJ7mVCrmngFpaZ0MWEREegoVeEWkw9Krt3jGEcNyA46npLRe4G2pg7dpTt4LL4SffoJLL4VzeZAUyrntvC/gxBO7NH4RERERkR6nsNA7JJOBQwKfiANaLsgG2cELzjQNV3ITp/E0P1xwA+wS+ESeiIj0LirwikjHlJWR0FgBQDVxxA5ODzglMhJqTOsF3uaLrPlOI7brrs6jY9b9z1N5ue262EVEREREeqodO7xDBjBwYCvntdTBm5wc9Mvk+Dwgl5dnWj9RRER6DRV4RaRD7Gbvyr555DAgs+WksC6y9SkaIps1I4wY4b/tm5+Wl3c2UhERERGRXqR5B29rBd6WOnjTA5suWqMCr4hI36MCr4h0yMaF3gLvtqgcxo9v+bz6KG+Bt5g0vmBPCskkJgaqqvzPbf5EmV+Bt0JJp4iIiIj0A806eAcNauW8+HiIivLf14ECb3a2d5y3RSUBEZG+IKr9U0REvD7euiufcx855JE1cQj7tJITliYMYV1NCSWkcRbz+Y4pAMTGwnHHwWOPOee1NL1ucjKkUMpufMvENevgvaFw8MGheUMiIiIiIj3B/vtzctKrxFSUsZXBPN1aB68xkJUF+fnefR1YKC0nB2axkON5iemvbIWph8CZZ+5U6CIiEl4q8IpIh/xQNpQHOA+A609q/bzHT3mT++4L3B8bC0cfDR9+CCtWwNy5geckJ8NkvuMjfgZLgav3UoFXRERERPq0uvRBPF9xNAAREZCR0cbJw4Z5C7ypyc52kHJynFz7Mm6FNcDHsSrwioj0cirwikiH+E6vkJLS+nmtTd3QtKDaAQc4Hy1JToZSfBaPKC3tSIgiIiIiIr1OQYF3nJUVuG6FnwMPhKxayI6F394MEycG/To5Ocq1RUT6GhV4RaRDfAu8TcXalvjO7eWrrWuaBBR4S0qCik1EREREpLfavt07bnWBtSY33gglo6F+I2RM7tDrZGerwCsi0teowCsiHRJsgTcrC+Kp4q/8nWLS2cpgnoqYR0xM+6+hDl4RERER6W+2bfOOW11gzZeJ9f8cpPR0qItJhjpnu7GknLaahUVEpOdTgVdEOuS3H5/Mb9lCIZkklt0OjGrxvOz6DfyGl7iSmwDYRC5PuOZhTPuvkZwM5STjwhCBhcpKaGgIXC1YRERERKSP2O3i/chnFYVk8kTMM8Ckti/oZIHXGIgfmAybne2GYhV4RUR6O1VLRKRDdilexBDWAbAg9tZWzxv8w3vcwSWe7WLSg36NhAQwERGUuVJIw929W1bWzkoTIiIiIiK9V2zhFtLYxmC2kZoVxGNvEXFgopyPDkoa4i3wusorOny9iIj0LBHhDkBEepeU+kLPOGrQgFbPSxznv5JvRwq8xkBSkqZpEBEREZH+I7Zyh2ecMLT1PNvDxHa4e7dJak6SZxxRUd6pe4iISM+hAq+IBK+ujsRGJwFsIJLYgamtnmpGjvDb7kiBFzQPr4iIiIj0I/X1xNc6+W4jEaQOT2v/GhMLEfGdermM4cmecVSNCrwiIr2dCrwiErwd3q6CHQwgIamNf0KG+XfwlpDWoZcKKPCWlHToehERERGRXqOoyDMsJp2swUHMimsSwMR16uUGDYul3j1jY2RjPdTVdeo+IiLSM6jAKyLBK/ROz7CDASQltXFubCwkJXo2F7IXu+4a/EslJEAZKd4d5eosEBEREZE+qlkjxaBBQVwTmdLpAm9OrqECn2ReubaISK+mRdZEJGiN2wo9K+wWksmYge1c8OxjcMrpbIkfzdoxZ/Lkv4J/rbg4WMlYstnCqMmxpCYnt3+RiIiIiEhv5NNIUUgmue3l2QARaWA6N0VDTg7cxUVE0UBqbhIXxgSxqJuIiPRYKvCKSNDK1hV6ZtIti8kkOrqdC+YcAT/9iezUn/FuUkKHXis+Hi7hDgDeuWkzPz8gt+MBi4iIiIj0ArZwB8Y93sEAdg+mwBuZDlGZnXq9nBy4hmsByHa5uDBZD/eKiPRm+ldcRIJWsd776FhNYpAr+8ZEQmTHirvgFHibVFc1dPh6EREREZHeomqTN88ujcr0y4VbZaIhdlKnXi872zveutXQoHRbRKRXU4FXRILWsNX76FhNUhDdAibCSTw7MTeYX4G3urHD14uIiIiI9BZVG33y7GAaKZpEduBcHzExMNDdJexyGbZu7dRtRESkh1CBV0SCFlHkTTwr44J8HCyic6v7+nfwqsArIiIiIn1X9dYSz7gxJb31E7tQTo53nJfXLS8pIiIhojl4RSRoa+b8lgte+TmZFJKUPT24iyJSO1XgjYuDUazhAD5iyXnlPPruKuY9ewSRke1fKyIiIiLSm3z788s59D9nkUYJk8bntH9BF/hFw4MM4X8kU07D63+APQ/rltcVEZGupwKviAStaMAY3mQMAMcH+zRYZBpEdHx13/h4mMUXPMyvAHj6xVP58MMjOPjgDt9KRERERKRHy6tK5yf3csZTRnTPa05u/JbZvATARyuO6Z4XFRGRkNAUDSICgMsF778Pixe3fk5trXccGxvkjSMzITKjw/HEx0M5yZ7tJCp4++0O30ZEREREpMfbts07bpobN9Si0ry5dm1hefe8qIiIhIQKvCICwH/+AwcfDHvsAUuWtHxOXZ13HBMT5I1jJzsLrXVQfDxUkOTZTqackSM7fBsRERERkR7Pt8A7aFD3vGbUgFTPuLG4tHteVEREQkIFXhEB4MwzvePf/rblc2prvIudBd/B27lFIpKT/Tt4kyn3KzCLiIiIiPQVlRt3EEc1YBk8uHteM2ZgmmdsSkq650VFRCQkVOAVkQDFxS3sbGjgF79PZTM5fMckYmNsSGMYMiSwwFtTE9KXFBEREREJi1vfn0Y1CdQSy1A2dctrJmSnecaRFSXd8poiIhIaWmRNRALYlmq3ZWXE1FWSQyVJVBATa0IaQ2Zm4By8KvCKiIiISF+UUO9MkRBDPQNGJLdzdtdIyvFO0RBTpSkaRER6M3XwikgAl6uFnaXepK+EtOCnaOik9PTAOXhV4BURERGRPqexkWTrXeQsa1T3FHhThqV5xnG1Jd3ymiIiEhoq8IpIgBY7eH0KvKWkhrzAu9tuMHKSb4G3gtqqxjauEBERERHpfSq2lHnGZSSTkh7ZLa/r28Gb7CqlsrJbXlZEREJABV4RCdBiB6/PwgslpBETE9oYIiLgsy8iqYpO8e4sL2/9AhERERGRXmjHWm8jRUVkKia0M6F5mBT/9S4KCrrndUVEpOupwCsiAdqboqE7OngBEhPBleztLIgsLwn9i4qIiIiIhEJDPlR9HrC7eL03z66OSQ04HjLJ/gXe7du776VFRKRraZE1EQmYkqGnFHgBtk09hHc+LKKUVCrrorvnRUVEREREulrF/yAiPmB36UZvnl0bl9Z98aSkcO+Y21m8KpkS0vh1cfe9tIiIdC0VeEWE6mr/7aqqFk5qNkVDejc1F3x30b854UNnfLSeORARERGR3qpxO7gCGxYqt3gLvA1J3djBGx3NR9P+wPOrnM0TVeAVEem1VC4REcrK/Ld9mnVb3FlKKjk5oY2pSVycd1xT0z2vKSIiIiLSpWwjuKqgsRQaCv0O1Wzz5tk2pRsLvEB6undcVNStLy0iIl1IBV4RCVi7rK6uhWKqT4G3hDQVeEVEREREgmV9HplzlfgdqivwbkekdW+BNyPDOy5WB6+ISK+lAq+IBHTwQmAXry0u8R4jlSFDQhtTExV4RURERKTXc/kWeP27KxqKvNtRmergFRGRjlOBV0RaLPD6TLkLQNGfbmIi37MPC/go6SiSkrolNDK//4i/cxV3cjHTt7/ZPS8qIiIiItKVrE+ngss/+b4v7UriqGYQWyn+9eXdGtaRb13AYnZjFaNJXfl18BfWb4SSR0MXmIiIdIgWWRORgCkaILCDd3NNJsvJBGD80G4Iyi112adcxQ0A3FeWBBzefS8uIiIiItIVbDVU1sHmUpiwFhJmew5t2wa1xLGdOAaM7t6wBhStZhBLAHDt6EALb+0yqN/gzCsckRCa4EREJGgq8IpIi1MfNC/wbtrkHWdnhzYeX5FpyZ5xXF0LlWgRERERkZ5u/VrY519QWAXHTYIXzwTj/Dq+dav3tEGDujcsk+rNtV0lHci16zc6nxt3qMArItIDaIoGEaG2NnBf8wLvRx95x+PHhzQcP34F3gYVeEVERESkF/rHfU5xF+Dl76FsAwCVlc4HQEyMJbV7p+AlKtU775otCzLXdtVAY4EzbiwMQVQiItJRKvCKSFAF3vefLSQG58QDD+yGoNyi0r0F3gQVeEVERESktykpwfX4f/33LfkKcKZnmMj3jGc5UwZswjQ2dGto0RneXJuKiuAuasgDa51xU6FXRETCSgVeEWm3wHvbbbBwcy61xFFNHCMHVwdeECK+SWdCYwcLvK5KsI1dHJGIiIiISAf88AMRLv+ctPKNTwGnwPscJ7OciXydPxx++qlbQ4sd4O3gjagMMtduyPcZb+/iiEREpDNU4BWRFgu85WX1nvFfLq0hzt29G0kjQ0bGdVdoRKd7k85EW47L1YGLSx6Bqk+7PigRERERkWCtWOG3uZpdyFvl5Nb5+ZCKT2dFN8/R4NtMEddQ3uLaHAEqNsGDX8DNH8LSb0MXnIiIBE0FXhHxFHgzKeBybuIMnqC20juflm/SWUIaWQNNt8VmUrxJZzLlLRajm5s/Hy76XTV5m+s0L5iIiIiIhFXjeu9qxTdyJWNYzSt7XAJA3mZLJj75akZGt8bmm2snUUFxcRAXXfUAXPU/uO0TOOhOWPxVyOITEZHgqMArIp6/1P+H07iJK3mCeey67HkASkr8C7yupFQiuvNfjmT/Am97XQWrVsHZZ8Pd/xfPLy4+RgVeEREREQmr8k3equkOBgCwanUUAMWrComlDoCa2BRITOze4JK8T8slU95ugXfhB5U0Pr7Qu6PBBf99LUTBiYhIsFTgFRFqa2EvPufnvOfZN27t+wBs3w5plHj2Z41J697ggizwLlsGp54KZ57p3ffOR6NpqC3yLgIhIiIiItLNareWeMbFpAOwarUz5VnN2i2eYzUZOd0aF+CXaydRQVFR66feey9cetASImvr/A/88H2IghMRkWCpwCsi1NZCLpupJMGzb+h2J1ErL/fv4I1I7955wZonna1N0XDppfDss/Dll/77121IAldJ6OITEREREWnDgjPuJ5s8JvADr3IMACvXZEBjMY0b8zznNQ4Ob4G3rQ5elwuuuw725nP/AwOTICkmhAGKiEgwosIdgIiEX20tPM/J/JcjKCeZCCzZZWthwwbKy4f7dfB298IPxMXxbOq5bC5NopxkTq1y0dLfpt59t+XLN2xKY8y0bRCZHto4RURERERakLcjjnyyySebTAo4mleZvO07ah6NJ3Jbiue8yGHZ3R/c7rtz637P8eanA9jKYP5c2vJp330H27b5F3gXH3MGuz+0CyQd3k3BiohIa1TgFRFPV2wViXzGPuzHAmfHiu8oqwlzgdcY/jHiAZYudTaPrQs8JXAGBsud/J5/cTHrN6VB4zZgXGjjFBERERFpQWGBt0HhEN7hKc4AoGz+nsQXz/GcF79LGDp4Bw5kzYSj+fDTWABKWynwfvut83kaSzz7/us6nN1ZoaflRER6AE3RICJ+0x5sYqjPxmrKy2EI+d59gwd3X2BucXHecUtz8JaX+2/P5mMu5i7O4VE++mwENLaSqYqIiIiIhFhpaaNnvIJdPeOGtdsY1OCdgzd2ZBg6eIG0NG9ZoLUC7/ffQxLljGQ9APVE8X7+DOegcm0RkbBTgVdE/Aq8efh0DuStoawMcvDODUZO93cWtFfgLSjw3z6BFwE4h0ep+mI7uCpCGJ2IiIiISOviN/7EILYSQy07or3NElE7ShnNau+Jw4eHITpITY30jFsr8K5bB4PYxvdMpJ4oVrArS1bmOk/SuVTgFREJN03RICLElBXyd+6khDT2YqH3wOIllO8Nufi0yPbAAm/z1X6b5gbLJY+IsiqwKvCKiIiISBg0NHDTq1O4CXBh2H9aDa6vDRFYUmqL2cYg1jOcEWyACRPCEmKqp4PXUlJiWjwnLw/WMJrJfE80dQxkO5FllRS8lM/A+p9gl2w4XHPxioiEizp4RYSU0k1cxQ3cymXM4gvvgQ++obDAcjr/IZYa7v3DF3Dwwd0e30l5d/IUp/EaRxH33dcBx8vKvONEKpiKM2GvC8MHlfthG1XgFREREZEw8GmJLSWVSbvHsJ2Bnn1X8g9Gsp7zTlkDI0eGI0LOuGYXikmjgSgqi2pbPGfzZu94cE41eeRyAB8x8PwH4aJn4b77uilaERFpiQq8IkJsVbFn/Bn78Dhncm/WZfB/x1GwtR6AOmKJ23UYJCd3e3yTiz/mNJ7mKN4gasvGgOO+Bd7pLCIKZ56zYtI51vUydZe/DHff1V3hioiIiIg4ir15dglp7LYbLMfbqbs7iwEYMSkRIsLz63lsdQlplBKJi/qi8oDjDQ2Q77MkxwF7rwdgM7nenXmbQhyliIi0RQVeESG+xpt4FpPOWTzOncmXw2FjyN+yzXNs0ODIli4PufpYn6Jy8xXV8C/wTmGZ9zqieYRfEvvwAnjumVCGKCIiIiISqKTEMywmnd12g0VM9+ybgfN02q67hifPBnAlenPthqKygONbt4LL5YwHZVWw62jndwf/tTvyAq4TEZHuowKviBBXU+IZF5MOQHlFDAD5W6M9xwYNCs8/GfVxwRd4J/OdZ/w0c70HfliOswqEiIiIiEg38SnwlpDGyJHwQ/wenn1XchNgGTc+tvtja5Kc4hm6SgNz7c2b4Qye4DYu4YTk1xk91JnGYSuDaWwqKWwv9F+5WUREupUKvCJCQq3/o2MAZRWxVFVFU7eihCN5nVGsYdTI8PyT0ZjgLfDaDhR43+IwKklwNopL/R6RExER6c2MMWnGmBeMMT8ZY340xuxljMkwxrxrjFnl/pzuc/6VxpjVxpgVxphDffbvYYz5zn3sLmNMyyssiUin2CL/J+VSU6F411l+5yRGVLHLmITuDs3DpPg0U5QFdvDm5cFRvM4l3ME9a09jxqoPAGgkiqIo73zCfvM4iIhIt1KBV0RIqCvxjJs6eKuqYvjux4Ec3/gir3M0axhNxvV/DUt8URneroL6wsCksykPjaKeSXzv2b+MKWxiqPdEPTomIiJ9x7+At62144CpwI/AFcD71toxwPvubYwxE4BTgYnAHOBeY0zT8+D3AecCY9wfc7rzTYj0dXXbSzzj8sg0YmJg6N7D+YjZnv3PJJ1FTGz4pmiITPfm2qYisJlixw4Yx0+e7dT9J3vGG61ybRGRnkAFXhEhsd6/s2A463mEcxh+2o3cwFXeEydMCkN0kDjEm3TWtbDwQ3W183kWX5BEJQAbGco2BmluMBER6XOMMSnA/sDDANbaOmttCXAMMN992nzgWPf4GOAZa22ttXYdsBqYaYwZAqRYaxdaay3wuM81ItIFaraVeMbVsU4jxUEHwVnM5wnO4GWO5YtjLwxTdI7IdG8Hb0xtGfX1/seLdljGsMqznbH3VBLcDccbG5Vri4j0BCrwigjJ9f5TNNQRwzk8xuDi9f4nTpzYvYG5peR6C7y2JLCDt2m6rz34xrPvLQ4DjP/qvps3hypEERGR7jQKKAAeNcZ8a4z5tzEmERhkrc0HcH9uenY6B/Bd4n6ze1+Oe9x8fwBjzLnGmEXGmEUFBQVd+25E+rD6bd48uzYhDYAjjoCMKanM4wnOTHiWs37fEKboHCbFm2snUx4wS0P11lLiqQGgLjoOkzmaESOcY8q1RUR6BhV4RYSkxhLPuJh08skmj+zAE8NU4E0f5u0qMBWtF3j/xe85dc/PeOOIS6k55VhASaeIiPRJUcDuwH3W2t2AStzTMbSipXl1bRv7A3da+6C1drq1dnpWVlZH4xXptxp2lHrHCakAxMbCh28uY/7dL/Pl2w8xZlxiuMJzJHtz7RTKKC31P9y4ZZtnXJ2SDhHxjBzpbOtpORGRniGkBV4t/iDSO6S6vJ0Fex/u/Cf5FTP9zilLyIIBA7o1riYZI7xdBTG15QEL9PpuH3POFo58NJG4/fcBlHSKiEiftBnYbK390r39Ak7Bd5t72gXcn7f7nO8zUSa5wBb3/twW9otIF6mrcVFDLACu5FTP/rSMBOadspSJ4wogMjw5tkezDt7mBV6z3VvgrU/PBPAUeNVMISLSM4S6g1eLP4j0cC4XvGiP59/8khc5nj/e5nTu/pcj/M7bNGrPcIQH+C/8kEJZQO5YU+Mdx8Y0golk+kynE8Iv6dy4IZRhioiIdAtr7VZgkzFmV/eug4DlwGvAWe59ZwGvusevAacaY2KNMSNx8umv3NM4lBtjZrkbKOb5XCMiXWDhvPuIp4ZYavh211O9B6IGeccRGd0fmK9mHbwlJf6Ho4q8BV5X5hDAW+Bdwy6sz5wCh4+DWdNDHamIiLQiKlQ39ln84WxwFn8A6owxxwAHuE+bD3wEXI7P4g/AOmNM0+IP63Ev/uC+b9PiD2+FKnaR/qS+Hm7lMgCioy114wwnnABPvXg6Z/AkB/Ax37A7y0+9mvBM0AAMH85dg69nxdY0NpPLNc1mafDt4I2NbYDITEaPcf4+5FfgzdvM4sXw8MNwyimw//7dELuIiEho/A54yhgTA6wFzsFp3njOGPNLYCNwEoC19gdjzHM4ReAG4LfW2kb3fc4HHgPicfJr5dgiXaipWFpHLEm+ddyoIWDcv45HhrnAe8YZXPTaPrz+6WAKyeSJZh28scXeAq8Z4jwM0FTg/YK9OH+3D3nrsbsg/ZzuilhERJoJWYEX/8UfpgLfABfTbPEHY4zv4g9f+FzftMhDPUEu/iAiHee7Sm50tDMdX0IC1BDPz/gIgwtLBK+O3xG2GBk4kP8M/zNfbnVmZ7mixv9wbS3ksok4akhsLIeIAcQ6T8KxgeE8FXE6p1+4HiYexezZUFEB994LdXUQHd29b0VERKQrWGuXAC21yx3Uyvk3ADe0sH8RMKlLgxMRD9/pDlJTfQ6YKIgeCrYRTJiXxhk8mJJhiazH6eRtPkVDfMV2zzgq1/lVfJddvMdXr3XPIewqATJDGKiIiLQmlP8n6fbFH7S6r0jH+Rd4nc8JCd591v3PxJBc34y0+8XFef8pqGlW4K2pgb9wA6sYywHzzodHFhIT4xwrYgBnuJ7E/uVgXGccRkWF97riYkREREREQqbVAi9A4qGQclq3xtOa1FRvrt18iobkKm8Hb+xQpz9r9Gjv8XXrY6ivj4DGolCGKCIibQhlB29Liz9cgXvxB3f3bpcu/mCtfRB4EGD69OktFoFFxF9Dg3ccFeUkdr4F3iZDskP5z0X74uK845YWWRuEN/Fk8GgiIiAqyvv+GhoiqCiu8rvO972LiIiIiHS1Qd+/yyySKCOFtORxQKT3YNTgsMXVnG+B17co3dAA79YfQD1Ovn307hMA5/eFnBxnDePGRsP6TWmMSVH3hIhIuISsYmOt3WqM2WSM2dVauwLv4g/LcRZ9uInAxR/+Y4y5HcjGu/hDozGm3BgzC/gSZ/GHu0MVt0h/07gxjye4nDJS2F63C/BH4uMDzxsQ5sV9m6ZcgMAO3oACb7aTeMbEeIu4ZeWxZI6b5Xdd8/uIiIiIiHQZa7ngjSO4COeRuSeTqvEr8PYg6cku0igmjhpKS4d49peUwDPM5Rnmkp5eT9FB3vnNxoxxCrw/5x3sPz+B5NfhN6kwa1YLryAiIqEU6pY8Lf4g0sPZvC2cwVMALKvZA/hjix28vh204fDHpWdyBatJppw1eW/j29gfUOAd4swNFhMDVe6m3edfD5xeUAVeEREREQmZmhqiXE5xt5YYkrPCnFC3Zv16/vjnkfwRWMcIbihd5zlU5DPrQka6y++yMWPgo4/gJJ5n7IsvOjtnHKcCr4hIGIS0wKvFH0R6PlvifQarIjIFaHmKBtPSbNjdaJeSxeSwHIA1JSX4FnhramAwW70nDxoE4JmH9zDeZMSND/MRt/A0c3mA84DAqR5ERERERLpMWZl3SErgHLw9RVKSZ5hCmd8cvL5rVqSn+8+COH6883mzT15+56Wbee9N+M9/ICUlFMGKiEhLwrxcp4iEm6vEm3hWRjpZZ0sF3nCrjfVmiLa0zO9YZHUFiTitujY2xpNNNk3rMIZVzCl+mdl8whSWea5TB6+IiIiIhExvKfAmJ3uGKZRRWuIt5Pp28Kan+1+2557O5zxyPPsyqjfz3//ClVeGJFIREWmFCrwi/Z3PKgpVUa138IZbbZxPC0CZf4E3tcY7PYMra6Cn3bipg9e3qyCXzZ6xCrwiIiIiEjI+eXYpqT23wBsbS2N8IgDRNNBY5POE3+YSnuMk7uV8ztl2q99lu+0G0dH+uXYOeYDTwdvYiIiIdBMVeEX6O59iaWW0k3WOGROuYFpXH+ftLDAV5X7HUusKvMcGelcjVoFXRERERMKmWQdvWlr4QmlPw2BvvpxQ5M2Xazdu4yRe4Hzu56AN8/2uiY93irwt5dolJfDdd6GNWUREvFTgFenvfDoLqqOdLtnddvM/5fXXuzOgljXEezt4Tbk3WbYWkusKvccGZnnG7RV4NQeviIiIiISK71RoZaT07Dlpc7z5clKJN1+uz/fm2TVJAwIumzvXf4oGp4PXmeJhyZKuD1NERFqmAq9IPxdR7lvgdTp4Y2PhpZfgkEPg2WfhyCPDFZ1XQ6I3I96+2pss19dDJj4F3qxMz7hpDt6tDKaBSAAGUkAsTuvuG2+EMmIRERER6c9qt3vz7MrIVKJCusT5zokc7i3wpldu8oxdBTs84/rUTJq74AI48Lg0KnHmeEuiklSc960OXhGR7qMCr0g/59sNWx3jnRjsuOPgf/+Dk08OR1SBMkd6C7yblpexerUzrq2FSBopIBMXBjK9iWdTB6+LSLZFDPHsz2YLAA8/7HQAi4iIiIh0tept3jzbd8Hgnsi3wDuoIc87lVmht5GiMT2wwBsTAy++ZEgY07yLF9asCU2sIiISSAVekX7Ot4O3JyeeI3dL84wHsIMff3TGNTXwCL9kIAUMTq+AG2/0nLdsmff6ja6Wp2lYvz5UEYuIiIhIf1ZX6C3w1sX31BXWHCbXW6DNZbNnFreoYp+1LgYETtHgvT4w1964sYuDFBGRVqnAK9LPRVb4TNEQ03MTz9aSTt95dKPjIiAuzrNdV+c91to8vD5NCSIiIiIiXaYyKpUfGUce2VQnZbV/QTj5FGiHssmTa8eUeQu8kYPbeA8tFHg3bOjaEEVEpHUq8Ir0c+t//mv+zA3czJ/Ynjom3OG0buhQ79An6fQt8MbG+s+3cOml3nFrBd6Ski6NUkREREQEgJ8OvpAJ/Eguebw9/g/hDqdtI0YAUEMsjUR6cu2ECm+BNzpnYOvXH3YYnHcIrmvnsSRqBgBFRVBREaqARUTEVw+e5l1EusOmPU/kH+7xMT23gRfGj+f5Q+7ioXd2ZT0jOMf9xJtvgdeneReAq6+G6693xr4F3nFJm8GdbKrAKyIiIiKh4JtnpvbkPBtg3DhOmfU9z38xHksE77oLvEk13gJv3NA2OnjnzoWjUohoLKL08Sngnn930yYYPz6EcYuICKAOXpF+r77O5RlHR4cxkPakp7Nq33m8yyGsYqynq6CmBo7gDQ7iPSa7lkJ9veeS6Gg47zxn/C4/53zu5Whe5d1xF3nOUYFXREREREKh1DsTWs8v8EZHUz8wB+suETTlyGl13gJv4oh2ppmIzIDGYoYN8+7SNA0iIt1DHbwi/Vx9XT0QC/TwAi+QkhLpGftO0fA488igGFYCxdtgoPfxsZEjnc/fMYXvmALAvAnAImd/cXE3BC4iIiIi/Y5vgTctLWxhBC01zdv/VVoK1dUwwHoLvPHD2inwmkRwlTJ0qAUMAHl5oYhURESaU4FXpJ9raGigqcAb1cP/RUhJ9QZY5p6ioa6y3inuAi4MEc1W901PD7zP6F0aAadY/PXXIQlVRERERPq5EQuf5jRclJJKZvzPgMRwh9SmtDT/ZoriYvgrfyeHPIbHb+P8IYPbvkFEIthGBmXVAzEAFBS0fYmIiHSNHl7OEZGQKitjzvUH8yYDyGcIn0U/Eu6I2pSY5LQYx1ENZXVAKq6CHZ7jZdEDSIuM9Lvm4IMD7zPnkEqu/lsKAAsXhixcEREREenH5nxwGXNxWljnR22kpxd4sxLqmMZKhrOBlKUZFB+6P09yJgDjhjdwfmIb5YPGRjj3L7BxEZesfIV/8i1g2Late2IXEenvNAevSH9WXMygtV9zGG9zCO8QHx/ugNo29tNH2chQqkng8OX/dHZu3+45XhYb+NhY0xQNvkaPLMHgzD2slX1FREREJBTia0s847hBPX0SXth9w+t8y+68wnHsvvD//KYyS083bV8cGQmvvA0frmFw3lIG4DRh+KTqIiISQirwivRnPhODlZBGXFwYYwlCTFwEQ9kMwMDyVQCYQu9zXxVxLc8LlpnpfH6Ec1jLSNKGj2F3FjvXVIC1IQxaRERERPqfhgbiGioBZxqx5CFJYQ6ofa5hwz3j1OL1FBV5j6WnB1E6GDLEOyQfUIFXRKS7qMAr0p81LY9L7yjwukaN9oyHVK4BILLIW+AtTxgYcA14p2kYxDZGsh5TW8ewyC2A8zRZXV2IAhYRERGR/qlpwQiglFTSB/T8X73NiBGecXr5Rr8O3oyMdjp4AbKzvUOcXFsFXhGR7tHz/y8jIqHTyzp4I8Z6C7y5NWsBiNzhzRqrElru4L32WqehoDjOm3SOiN3iGWuaBhERERHpUj6NFKWktrjwb08TOyqHBvdCxBm128h+898sZjfe5DAO3fpY+zdQB6+ISNiowCvSnzVLPHt6gTdm+BCqcYJMcxVDSQnRJd4O3qqkljt4x46F9eth7iXepHNYVL5nXFkZmnhFREREpJ/yaaToLQXelIwo8sjxbA/57h12YwmH8Ta5tWvbv4FPgbepg7egAFyuLg9VRESaUYFXpD/rZVM0JCYZNuCdG4wNG4gp9bYF1CS33MELEBMDEbneDt4cow5eEREREQkNW1ziGZeQ1isKvGlpsJ4Rnu0JP77gGdeNGNv+DXK8xeFRMRsBZzo036keREQkNKJaO2CMeS2I64ustWd3XTgi0q2adRYM7OEF3oQEWMwIxrHC2bFhA3El3k7c2tSWO3g9fOYFG4IKvCIiEj7KtUX6tuqtpSS4xxWRqcTEhDWcoKSmwqeMYjafABCBdyXi2ml7tn+D4d5GjNFR68C9zsX27TBgQJeGKiIizbRa4AXGA79q47gB7unacESkWzXr4B3Wwwu88fH+XQV23XoK0kZRwkyGkE/1gNy2b+Dz2NigRm+B16fOLSIi0l2Ua4v0YVVbSjwF3prY1LDGEqzUVFjHyBaPJYwf3uJ+Pz4F3qF2g2e8fTuMH7/T4YmISBvaKvD+xVr7cVsXG2Ou7eJ4RKQ79bJF1iIjYaMZTlMzgWvdel7f52pu+SIDgH+MbuNi8Ovgzar3Fni1+IOIiISBcm2RPqxmuzfPro1PC18gHRATA5ujR0K9//4CMhkwJIgW5GHDPMMh9ZtxknajXFtEpBu0WuC11j7X3sXBnCMiPVgvW2QNIC96pOdxL7tmFbXDGzzHYmPbuXjQIDAGrCWltoAo6mkgmq1bQxeviIhIS5Rri/RtxYlDWcrhpFFCQVoQ89f2EIXJo6DIf18+Q8hqfakLrwEDICEeqqpJaKgkjRJKSGfbtpCEKiIiPjq1yJox5tyuDkREwuCyy7h+3P9xHvfxNTPaL5D2AFtiRnjGdkc+tTXeFoN2C9TR0TDIyU4jsJ7VfVXgFRGRnkS5tkjvt2ry8RzJf9mXz/hw0u/CHU7QitNHsYFhfvu2kE1mZhAXGwO3XQMPnMBDp95DJYkAFBR0fZwiIuKvUwVenDnBRKSXKxs3k7/+9Fse4DzWMSq4v8yH2aqEqUxhKcmUUfjQOdRU13iOBVWg9pkbbDjO3GB6bExERHoY5doivZxvUbM3LTBmBw9hBBv4NQ969hVGDQm+EeTc38Jxk6iZMoJ6nGkdVOAVEQm9tubgbZW19oGuDkREut8zz/hvDx0anjg6whUbz3dMASDyvSUc+uVyYpnMp+xHcvLE9m9w9z1Q/ihvLN+dT3+3HwDFxaGMWEREpGOUa4v0fr4NBIMGhS+OjsrJcT4PId+zryxxcPA3iEgEE03WgCrPLhV4RURCr90CrzHm6pb2W2uv6/pwRKQ73dNsbe6MjPDE0RG+3QMxn/zEqWsWcCpwEf9i2LAgCrwzZkDRpySVRdHUIKUCr4iIhItybZG+yXfe2d5U4M3NdT6vYFcqSCSJSqpSs9u+qLmIJLIGVHo2VeAVEQm9YDp4K33GccCRwI+hCUdEutPee8OyZd5t0wseCPUt8EZsL/eM8xniO/tC2yKSSU+t9myqwCsiImGkXFukD9rjs3/xF8opJZXcuLlAMJPYhl9TB+9znMIipvM488gfPqtjN4lIZmBiCcfyMvkMoaCgg9eLiEiHtVvgtdbe5rttjLkVeC1kEYlI96ip4ebHhvN70tjOQL645dNwRxSUmBiIoJFstpCyYKlnf1HMEAYODPImEWmkp232bKrAKyIi4aJcW6RvOnjFPZzDKgC+iDuE3lLgbergBVjLLuzHp/x2ageX7nnlOyZecA8vU8+znMzvCp7t2iBFRCRAZxZZSwBGdXUgItLNSkpIqdnOrqxkLCs9f63v6WJj4XzuY1Oz1X2TxmYTEey/aJFpZFRu4Q5+z0G8R0lJl4cpIiLSWcq1RfqAhLoSzzhteGr4Aumg5r8TWCIYNqzlc1s1YRwR1fUAHMF/KS+sxeXqmvhERKRlwczB+x1g3ZuRQBagOcFEerni9SWku8elpJKcHNZwghYTA2tb+L03fcKQ4G/y9Gcknncbv8disLxfdTB1dc69RUREupNybZG+Kamx1DPOGNl7Cry+HbxNRo7s4E0mTYPcVNhcShKV7GJXUVQ0icze0cQsItIrBTMH75E+4wZgm7W2IUTxiEg3uf7SUpqeCS0hjaSksIYTtNhYWMrUgP3JA+ODv0nKAEyj87v0OH4CnGkaetMCGCIi0mco1xbpY+rLa4ilDoBaYhiQExfmiIKXmwsJCVBV5d03eXIHbxKVCWOzYLNT5B7LSgoKVOAVEQmldh9ottZu8PnIU8Ip0jd8/1mJZ9ybOnhjY2ELObzHQZ59T3EaKSkduMl4b5a6O4uJoFHz8IqISFgo1xbpe7atKPGMy00qkVG9YCVjt8hI/4JuSopl9OgO3iR6FIz2tgI7Bd6uiU9ERFrWmTl4Mca80dWBiEj3aWyENEo8272pg7dpGoU5vM0DyRdxF7/jt9zTsQLvuCkwyHnDWRSyP5+owCsiIj2Gcm2R3m37Ku/0DFUxvWd6hiZXXQXGOE+7/fGPhsjIDt7AGBg3zbOpAq+ISOgFM0VDS37dpVGISLcqKYFUvIlnb+vgBWgkij82/pNKnIpvhwq8UWlw5AR4+CsAjuFViot/1rWBioiIdJ5ybZFerHB1iWdcl5AWtjg668gjYdEiQ976DRx53PDO3WTsJO+QlXyvAq+ISEh1qoPXWpvf1YGISPcpKgrs4O0tBV7fQm5llXdVtA7FbyLgZ1M8mxP5gR07uiA4ERGRLqBcW6R3K9ngbaRwJfW+Dl6A3XeHo44fjuns7BLjZ3iGY1ilDl4RkRBrt4PXGDMG+AcwAfDMDm+tDVzGXkR6haKiwA7exMQwBtQBaWkt7+9QBy/AuIme4a6sYOm2TockIiLSacq1Rfqe8k0lnrFJ650F3p02YhINUTFENdQxiO1UbC4B0sIclIhI3xVMB++jwH04q/r+DHgceCKUQYlIaG3ZEtjB2+G5tcKktQJvh+cQnnAiLuP8EziMTezYVNXOBSIiIiGhXFukj6ne5m2kiMpMC18g4RQRQfmgEZ7NqLU/hC8WEZF+IJgCb7y19n3AuFf3vQY4MLRhiUgorV3rX+Atpfd0FrRW4I2P7+CN4nMpzxzi2TSrV3U6JhERkZ2gXFukj/mmcjx3cyFPcAZ2773DHU7Y1OwynuWM5xWOYUdxbbjDERHp04JZZK3GGBMBrDLGXAjkAQNDG5aIhNKPP8Kd3MRdXEQqpfzAxPYv6iG6rMAL1A4bCgV5AMRu/AmY2um4REREOkm5tkgf83rxvjzGvgBs+W2Ygwmj/FufYI+ZzkIZU2q04IWISCgFU+D9PZAAXAT8HefRsbNCGJOIhFBZGbz0EhQzlM0MBeCQQ8IcVAe0VuCNi2t5f1sa9t6Tl78ZzErGsqxSUx2KiEhY/B7l2iJ9RlUVnsV7o6NdDBrUqXXN+4SsQd451AoKY9o4U0REdla7BV5r7dfuYQVwTmjDEZFQ+/BDKC72bp92ahl/vqqjK5SFT1d28EZecTXH350BQEZpfeeDEhER6STl2iJ9y6ZN3nFuTg0REQnhCybMsgYaz7iwKAHbWIOJ7ERXhoiItKvVPycaY65p7+JgzhGRnqWszDs++ZgfeOrxYib2nhkaurTAmzkog4gIFwBFRdHU1rg6H5iIiEgHKNcW6Zvy8rzjnOz+3UAQFwdJSc7XoL4+ktLi0nauEBGRzmqrg/dXxpiyNo4b4FTgmi6NSERCqqbG+RxPFcmJNWAywhtQB3XlFA2RkTBoYA35W53Oim1bdjBsVFbngxMREQmecm2RPigvD67lanLZzKCCWFh/OYwYEe6wwuboxPcYVrGEMayi9INjSDv5mHCHJCLSJ7VV4H0ISG7n+oe6MBYR6QY1NRBJA1Uk0vh0JLyXAflbIaJ3zA/WlR28AIMHNZC/1Rlv3VykAq+IiHQX5doifVBeHhzNa0xjKawCis/t1wXekxuf5RjmA7D5JQsq8IqIhESrBV5r7bXdGYiIdI+aGkjBaRiKtI1QW9drirvQeqdudHTn7ndwzKf8mjc4gI+ofv5M2P/PnQ9OREQkSMq1RfqmvDxIo8S7IzU1bLH0BN8PO4xjCp0C76DXnoeGhyAqmLXeRUSkI3pPVUdEukRNTbOks7WW2B5s7Niuu9e+dQs4n/sZz09ELF/ZdTcWERERkX5n82ZIxWeu2X5e4M3b4zi2MRCA6OpKWLEizBGJiPRNKvCK9DO1tb0/6bznnq67V/Ww8Z5xXN7GrruxiIiIiPQ7Wza7PE/LAb0y1+5KOcNj+JoZ3h1LF4cvGBGRPqzdAq8xvWwFJhFpU1/o4D34YDjzTO/28cd3/l4Nu0zwjAfm/QjW7kRkIiIiHaNcW6RvKdlcQSQuAFwJif1+OoLcXFiON99m5ffhC0ZEpA8LpoP3S2PM88aYw40xJuQRiUhIBRR4e2lXwYMPwmOPwQsvOB+d5Zo8lVJSAMio2ArvvdU1AYqIiARHubZIH9HQADXbvE/KmbTemWd3paFDYTWjvTtWaYoGEZFQCKbAOxZ4EDgTWG2MudEY04UzYIpId6qpaTZFQy/s4AVnsbWzzoITToCd+XV4wOBoXuBE745nn9z54ERERIKnXFukj9i2DVJsiWfb9NI8uyvl5jYr8K5ZE75gRET6sHYLvNbxrrV2LvAr4CzgK2PMx8aYvUIeoYh0qb4wRUNXysqCZznFu2PZ0vAFIyIi/Y5ybZG+Iz+/96910dVyc2ENu3i27RqteSEiEgrtTghkjBkAnIHTVbAN+B3wGjANeB4YGcL4RKSLFRXBLko8PTIzYSlTvTt+XOvMw6unZEVEpBso1xbpO3bs6BtToXWlhASoH5hD7fYYYqnDFJZBaam+NiIiXSyYKRoWAinAsdbaI6y1L1lrG6y1i4D7QxueiHSl+nr4+GN18PrKzITtDPTMw0tFDWzfHt6gRESkP1GuLdJHFBf3janQutrY8VGsYFfvjoXPhS8YEZE+KpglPa+y1vr9C2yMOcla+7y19uYQxSUiIVBUBFVV6izwlZQEMTGG1XWj2YPFzs5Vq2DQoPAGJiIi/YVybZE+oqgIFrM7l3AbB05dz5HH7RvukHqE8ePhXx9fTDzVzDw3gnl7ZoU7JBGRPieYDt4rWth3ZVcHIiKhV1bmfP4NDzBj6GpY9qKzSlk/ZozTxeu/uu/y8AUkIiL9jXJtkT6iuBh+Yjx3cAmfHXQRnHxyuEPqEcaPh0f4JfdwIR9XzIKIsnCHJCLS57TawWuMOQw4HMgxxtzlcygFaAh1YCLS9UrdT4zVE0NjehKMHQex6eENqgfIyoKbt1zO3fyOe5/7nClHzw53SCIi0scp1xbpe4qLveP0dFf4AulhJkzwjhcvGwIN74cvGBGRPqqtKRq2AIuAo4FvfPaXA38IZVAiEhplPn8sT0mqARMfvmB6kMxMeJ/dAch3rWNK3Q8Qu2s7V4mIiOwU5doifUxRkXecrh4Kj5kzITISGhth6Q+DKSywZKZsgejscIcmItJntFrgtdYuBZYaY56y1qqLQKQPKPVZ8yE1pRoi+vf8u00yM73jwqIEqFkGiYdBhArgIiISGsq1Rfoe3w7ejIzwxdHTpKQ4Rd6FC8Fa+OYpOPSXn8KIU8IdmohIn9HWFA3PWWtPBr41xljfQ4C11k4JeXQi0qWaOnjH8SPDIzZB5ThIsc5EtP2Yb4F385YUXC5DRGOxCrwiIhIyyrVF+p7iYniCMxjKJsbfEw8z/g9Gj27/wn7g5z+H6Qvv4k/cQu71efBiLixXgVdEpKu0NUXDxe7PR3ZHICISek4Hr+U7JhP1ZiOkAbW1EBMT3sDCzLfAe9P101n4cATz31lD6iQ9NiYiIiGjXFukjykuhpl8xVhWwWdAfX24Q+oxzjkHbv17JLk2DwDXqq1ENDY6czeIiMhOi2jtgLU23z0sBDZZazcAscBUnDnDRKSXKS2FVEqJotHZkZzc74u74CyyBvAoZ1NMBq/kH8x/f/d5eIMSEZE+Tbm2SN9TVASZFHp3+HYR9HMjRkDt3NM82xENDdSvXBi+gERE+phWC7w+PgHijDE5wPvAOcBjoQxKREKjrExJZ0uavgwrGevZl/rDYrDquhARkZBTri3SR5QVNZBGiXeHVlrzc83NaXwesbdne8ED74N1hTEiEZG+I5gCr7HWVgHHA3dba48DJoQ2LBEJhdJSFXhb0vRl+JjZnn1HFDzHQXtVsm5dmIISEZH+Qrm2SB9QVwcxVcVE4EypbdPTIKqtGRH7n5xcQ8zkQZ7tvBe2Q+O2MEYkItJ3BFXgNcbsBZwO/Ne9T/+nEumF1MHbsqYvw9fMoArvwmoTvnyCe+4JU1AiItJfKNcW6QOKi2EAOzzbZsCAMEbTc4361a6e8aF5z7F55aowRiMi0ncEU+C9GLgSeNla+4MxZhTwYWjDEpFQUAdvywYPdj7XE8MOvMn4FJbxzju2latERES6hHJtkT6guLh5np0VvmB6sIwzDqYyMhGALAr55Jn1YOvCG5SISB/QboHXWvuJtfZoa+3N7u211tqLQh+aiHS1gA5edRYAMGiQs/ADwK95yLN/DKuoqa4NT1AiItIvKNcW6Ruad/CqkaIViWOoGJTt2Vz730oo/j+o+iSMQYmI9H7tFniNMWONMQ8aY94xxnzQ9NEdwYlI1yovVwdvaw46yPm8Au9jY7uzGFtbE6aIRESkP1CuLdI3BHTwqpGiZVFDSRyT4dm8avEFNBQXQe2PYQxKRKT3C2Z+r+eB+4F/A42hDUdEQkkF3talpjqf1zOCDQxjOBtJoZwDS14BOw9MMDPaiIiIdJhybZE+oKhIHbxBMYbEqWPg4y+ZzzzeZg5//KmY6Xtuc6ZqMDHhjlBEpFcKpmLRYK29z1r7lbX2m6aPkEcmIl1OBd7WFRU1jQzPcKpn/6zyj6kpXRaWmEREpF9Qri3SB6iDN3jmgt+wcsA01jGSZzmF978YA9YF9RvCHZqISK8VTIH3dWPMBcaYIcaYjKaPkEcmIl2uvBzqiaaMZGeHCrweQ4d6x5+yn2eczRbW/LAYKt/RAhAiIhIKyrVF+oDiYvg3v+JoXuWlOf+AI44Id0g919hZfP6367iWa7BE8MGCkc7++s1QsxjqVoU3PhGRXiiYKRrOcn++zGefBUZ1fTgiEip1dc7HyTxPZKSL+sJvMEm7hTusHuN3v4N774UdO2ApU7mMW9hMLisZy9/WrmTi2M8hehTEjA53qCIi0rco1xbpA4qKYBVjWcVYZu8/HqaMCXdIPZeJ4mcHJXg2134RScND3xB1diLEWogZ43yIiEjQ2i3wWmtHdkcgIhJa5eXecXJSLSYhDaKC+RtP/5CVBRs2QEUFZGYOZfY+p/HZlzkAlJRudE6q36QCr4iIdCnl2iJ9Q3Gxd5yRYcIXSC8xfFQmu4woYs36DDJqthP51zfh45Xw5Fxo2O6cZC3UfAORAyAiDiKSwSSC0ddXRKS5dqs7xpgE4BJgmLX2XGPMGGBXa+0bIY9ORLqMf4G3zkmOxE9iovMBMHliBZ996YzLK9yLPdSvD0tcIiLSdynXFukbfAu86emR4Qukt4hI4Wf7rmPb+mhe4niMywXvrIT1xdgREZSXVJAQvYmoqjcgIhZMLJg4iJ0ICbPDHb2ISI8TzBy8jwJ1wN7u7c3A9SGLSERConkHLxEJrZ8sJKfEecbvXWtxvb8GGvLANvL914s54AD47W+hpgZWrACXK3yxiohIr6ZcW6QPUIG3gyJTOHj2JmKpJYctnt0f3hHJyD0uIjU9ifTBu/Dbyw+nqsIFjWVOZ2/tD05nr7VhDF5EpOcJpsC7i7X2FqAewFpbDeiZCJFeprwcUinhWF5mP/sJrM4Ld0g9WnJaJrls4k0O4+Wao4iY+yRsLKRsy5tMnrk7H3/szNkbHw/jxjnFXhERkU5Qri3SBxTtsJSQygaGMfPCI6ChIdwh9WwRGRx1yoHUJSXzV67z7P7Z03dw6aarSKSCiooY7n10JkeecRoul/ufxYbtUPEqNG4PU+AiIj1TMAXeOmNMPM5iDxhjdgFqQxqViHS58nIYz4+8zPHcv/IkOPOccIfUoyWnJlJJIgfygWdf/az72Su35TVv7r8f3n27srvCExGRvkO5tkgf0FhUSiplDGMTsXnrtdZFe4whITmF009axWfs43foQu7hdi7xbH+4YCT/fnJ37wk1S6BuRTcFKiLSOwRT4L0GeBsYaox5CngfuDyUQYlI1ysvh0wKvTsyM8MXTC+QnAzFZPAg53r2RdfXcgm3t3rNk4+ugvJXwNZ1Q4QiItJHXINybZFeL6J4h3djQEb4AullrrqyhNXpk2nAf1qLc3mIP5/zDudxH+fyAAtvq8UW+DRT1H7XzZGKiPRs7f5Z0Vr7jjHmG2AWzuNiF1trC9u5TER6mPJyGIBv4jkgfMH0AqmpzudLuJ1cNnMcrwCwP5+0ek1eforTURAzDmLHhT5IERHp9ZRri/R+1dWQVOfNs40aKYKWM2oy7/73cdYdNYkxO5b6Hbvh0UO9G/nAROBPB8Cls6GxEFxVWldERMSt3Q5eY8z71tod1tr/WmvfsNYWGmPe747gRKTrqMDbMbNnQ2qqpYFoTuUZqnEWXRvDat5iDruxOOCa/O1JzqD2B6jUP5MiItI+5doivV9xsX+ebZRnBy8ylV0n5TLm2b3gkLGw30j45Hz46DwYPzDw/Fs+gjs/dRZZq/m228MVEempWi3wGmPijDEZQKYxJt0Yk+H+GAFkd1uEItIlmieeKvC2LSsLVq82RERY6ojlK2Z6js3hf5SQFnBN/rZkZ1D7HdR8Dba+m6IVEZHeRrm2SN+hPHsnJR8He50JT86FF+fBuIEwYRC8d27L59/4AdQ0QE1gw4WISH/VVgfvb4BvgHHuz00frwL3hD40EelKP/6oOXg7KjMTZs92AbCAff2O7c3nAIxiDefwCLuxmKySjXy33N1p4KqBupXdGq+IiPQqO51rG2MijTHfGmPecG9nGGPeNcascn9O9zn3SmPMamPMCmPMoT779zDGfOc+dpcxxnThexTpF1Tg7QLRI1rYF0npyus5yTzHt0zzP/bFBnAVqaFCRMSt1QKvtfZf1tqRwKXW2lHW2pHuj6nW2v/rxhhFpAv89JMSz84YNMhZ8OFjZvvtzyOH03mSNYzmEX7JYvZgBeNI//nNUOheAKJ+Q3eHKyIivUQX5doXAz/6bF8BvG+tHYOzWNsVAMaYCcCpODNYzgHuNcY0rWh0H3AuMMb9MWdn35tIf1NUBBkUeXcoz+64qEFgYgJ2p6bVs3G3vdidb3mR452dCdHw4RpnmoaGgm4OVESkZ2p3Dl5r7d3GmL2NMacZY+Y1fXRHcCLSdUpKVODtjIHuhtz3OJj7+Q1fsCdz+Q8/MJEH+E3A+bn1G2HCrVBcDbXfq6tARETa1Nlc2xiTCxwB/Ntn9zHAfPd4PnCsz/5nrLW11tp1wGpgpjFmCJBirV1orbXA4z7XiEiQ1MHbBUwkxIyEqCyISPQ7tO/MjQA8zC+dHRMHw2G7OmM9MSciAgS3yNoTwK3AvsAM98f0EMclIl2sokKJZ2cMGuR8tkRwPvez8LprmPKXLP7vpIdY1NY/hY985azsW/tj6+eIiEi/txO59p3AnwCXz75B1tp8APfnphWKcoBNPudtdu/LcY+b7xeRDlCBt4tEDYf4/SF+T7/de81w/pl6mzm8l3k0bC6BslrnYP26bg5SRKRnigrinOnABPdf9TvM/fjXIiDPWnukezGJZ4ERwHrgZGttsfvcK4FfAo3ARdba/7n37wE8BsQDbwIXdzYekf6qslJz8HZGU4G3yXGH/8SIYSXgsnzxvJNY3sYl1BHDldzkPTHT3XnQkA9M6ZZYRUSkV+pwrm2MORLYbq39xhhzQDCXtLDPtrG/pdc8F2cqB4YNGxZcoCL9RFERTMJnqgDl2Z0Tv6fTyVu32rsvIo69Zzq/w1giOKbqeUpW3UR0tPtvWw1bwDaACaa0ISLSd7XbwQt8DwzeidfQ3GAiYdbYCDU1sJSpLGUKNmeIOguC1LzAm5lR5Qxe+4FZfMmbHMat6X/lz/yDIWzhEP7H9u9vhrPczVeNmhdMRETa1Jlcex/gaGPMeuAZ4EBjzJPANve0C7g/b3efvxkY6nN9LrDFvT+3hf0BrLUPWmunW2unZ2VldTBckb6tuBjm8jST+I4XznsBZswId0i9U9Ov/5HuBDwiHlJ/Qfb40xk21Jn2rKoqhp8+jIKbPoDj5sNJj0L1wjAFLCLScwRT4M0Elhtj/meMea3pI5iba24wkZ6h0r3m12G8zT4JX2M2roL4+PAG1UskJflvJybWQfRwOGYihZ9cxdobf8s7L/+HkcOK2coQ3uUQyirinJOtheIV4Krt/sBFRKS36HCuba290lqba60dgdMg8YG19gzgNeAs92lnAa+6x68BpxpjYo0xI3EaJr5yT+NQboyZZYwxwDyfa0QkSMXFUEgWPzCJqhn7Q0ZGuEPq3SKTIToHYqdC1ECITGXvfaI9h7/+Lhfu/gw+Ww8frYHPnlG+LSL9XjDPMVyzE/e/E2dusGSffX5zgxljfOcG+8LnvKY5wOrR3GAiO6WpwAuQlFgHJiF8wfQyzZ9CNTG5kHo6FN1B5rhqLhz3NQDJSd6ksmIH8PlieGwRDEmG1+bx/+3dd3gU1dvG8e8koffeFCkiiiBKUUHFCogNe0HFior+7L33gu21g4pdUbErSFPpIL036b2GUAKpu8/7xyS72SSbpSQ72eT+XNdczJxpzw6zm7PPnjmHsi2iGLWIiMSQZwrxWK8Agx3HuQlYA1wGYGYLHMcZDCwEMoE7zMyXtU9fgl2hDcuaRGQ/bN8enK9RU10FFIrK54V8Z+ncGb77zp0f9d9x3Hh+K/h5vlswZTl0HguVunkQqIhI8RDxr4+ZjT2QA6tvMJHiIzk5OF+pUgY4+9J4XwCaNYP77oNBg6BfP6DaDe7jY/F1wb/a3Si+BlUqpwf2yVi9B+77w11YuR1SVyrBKyIi+TrQunaO/ccAY7LmE4Ezw2z3IvBiPuXTgdYHE4NIaZeUFJyvUaNM+A1l3yU0CFns1Ck4P3n6oXBLo2CCd8kWyFiLiEhpFjbL4zjObsdxduUz7XYcZ9c+HFt9g4kUE6EteDO9CyRGvfEGbNgAvXsT7Bssu9JZoSPU+B9VqtcIbL+l6qFQP+vBhd1p8Pt34EtCREQkWyHUtUWkmEjenk5dNpNABjVrl/U6nBKpbdtgD3Or11ZnW/0jgivHrID0dWAZ3gQnIlIMhE3wmlkVM6uaz1TFzKpGOrD6BhMpPvbsgeOYyX28waV7v4XZs70OKeY4uZ8lKHeU2xK64qngxFOlWrAnml3J5Vnb6aTgtv3/gZQp0QlURERiwsHWtUWk+Gi0dTabqU8GZWl+c1evwymRypSB448PLo+NuwhqZGV81+2ExZvVildESjUvntN+BejqOM5SoGvWMma2AMjuG2w4efsGG4g78Npy1DeYyH5JTobTGc0bPMCTK++Gzz/3OqTYV+YwqHotxLmjsFXJ0dP44uWH0mXIgGDBjHWQPAn8yYiIiIhIyWEGZXZuCywnVC7vYTQlW85uGibObg2dmwQL3hgLGSujHpOISHERlR7g1TeYiLf27IHaBCueqAuTwlG2aWC2ao62Vs+9dgIAG2hAQzZCmg9WJUGNtW7LXxEREREpEfbsgRr+YD07vm5tD6Mp2Tp3Ds6P/KcWdm1TnKGL3ILfF8L04XBqvqkGEZESTyMtiZQCyclQh63BgtqqeBa2du3yls2hbXBhxBLIWBW1eERERESk6CUlqSFFtJx2GlSs6M4vWBDHrKN6hW5w+1fg35NnPxGR0kAJXpFSYM+eXAleVTwLXc+eect+4pLA/LhXfIwdkxbFiERERESkqG3froYU0VKlClx6aXD5wf+7EN9r5wcLFm6GTYuiH5iISDGgBK9IKZCniwZVPAtd1arw7LOhZX9xVmC+S+o/3H1BE/XDKyIiIlKC5GnBq3p2kbrnHojLymL8M6YSPYa8SVqXI+HxM+CPG6DiDi/DExHxjBK8IqVAni4a1IK3SBx2WOjyag5jMS0Dy/3sYUibH+WoRERERKSoqIuG6DruOHjooeDyqLGH03LlZNZcch6c0BhY41lsIiJeUoJXpBTYuVMtC6KhcuXcJQ6v4tZAv+dy3ucOJk1MjXpcIiIiIlI01II3+l56CZ54Iri8em11Lr7hCjIy4iBzLfh2eReciIhHlOAVKQVmTsmgJkkAmONAzZoeR1QyVaqUt+wzbqQxq7mS7/iDC3jng0bRD0xEREREioT64I0+x4Hnn4fff4cyZQyAGXMa8u7AE8AM0hd4HKGISPQpwStSCmxdnBiY91evAfHxHkZTcuVtwetaS2PAAcD8aeBPiV5QIiIiIlJkEhPVRYNXzj8fXnjeH1h++Z2T2b0uE1bN8DAqERFvKMErUgpU3BusdDp11KqgqOTXgjc3ny+ORXPXFn0wIiIiIlLkkhL9VCDHj/d6Ui6q7rk3niaHZdCDP/k38RiqtHsRnvkYMtZ7HZqISFQpwStSwpnB9rSKfMzN/EpPnDPO8DqkEmtfEryjh9Tj7OPKMXBg0ccjIiIiIkVr2/Y4KpNMJZL54605kJDgdUilStmycP8DZdhJNZqzAgCbvQGSh4BleBydiEj0KMErUsKlpsJKmnELH3NV+R9w+vf3OqQSK1wXDQCn8w9zOIZEatOfvvTpE724RERERKRoJCYCOOylEhWObOJxNKXTtdfC4vJt8WWnN5YmQtIqSJ3tZVgiIlGlBK9ICbd3b3C+Qnmfd4GUArVqhV+3kqYcwzwAzuIvypIWpahEREREpKhs326B+Vp1KngYSelVrRqccV5F5tEGAMcMJq+GjOUeRyYiEj1K8IqUcDkTvBUrZnoXSClQrhw88ED+61bRlKUcDkBZMmjLHPw+y39jEREREYkJiYnB+lzNWmU8jKR0u/DCOEbSLVjw11LI3OxdQCIiUaYEr0gJF5LgreAPv6EUipdfhl9/hR9/zLtuGh0D8x2ZxrY1f0cvMBEREREpdEdsnUgXxnIIa6lVXU/LeeXcc2FE3NmB5cwRy8GXBJbuYVQiItGjBK9ICZeSAi/yGP25jdv3/B9s2OB1SCVaQgL07AmXXAJXXhm6bjodAvMnMIXEjUvBnxrlCEVERESkMKSkwOPpzzCW01hLYypNGOF1SKVW9eqQ0OUEdlEFgISNSTBlDfgSvQ1MRCRKlOAVKeGSk+EyfuA2PuSeTc/A9u1eh1Rq/N//hS5P5KTAfDdGsm1rGchUwl1EREQkFiUmQlNWBpadZk09jEbOOqcSQzgvWPDyP7DrV/AnexaTiEi0KMErUsJNneyjCauCBU1V8YyWGjVCl6fTga3UBqA+m8mcuRl86htMREREJBYlbs6kMWuCBU2aeBaLQPfu8CxPBwsmrYZvRkD6Uu+CEhGJEiV4RUq4VRPWUQZ3cLXdlepApUoeR1R6lCsHffuC47jLfuIZRo/A+sqTF0LmFo+iExEREZGDsWfhchJw+93dVqY+VKjgcUSlW5s2sLt+Ez7m5mDhgH8heYj64hWREk8JXpESrvyG5YH5zEMO8zCS0umDD2DHDrfCCTCUcwPrWkwcBcnr1Q+viIiISAzK+G9xYH5r5cYeRiLgNqro3i2N+3iT0ZzG8NNvh2+uAvNBxprIBxARiWFK8IqUcFW3BR9Jymys7hm8ULUqxGV92v7JOYFuGqrsTYS5s2D3jx5GJyIiIiIHZEWwIcXOGk28i0MCup9diWSqcAajeW73I9ComrsiY7W3gYmIFDEleEVKuFo7VwTmneaHexhJ6eZzn94jmSq8ykMAPFn7TWjXyG1RkKHB1kRERERiSdnVywLzyXWbeRiJZOvaLR7HMQCmzGxE0o7y7oqMtR5GJSJS9JTgFSnh6u0Jjuxb5sgWHkZSuvn9wfl3uIvLGMyHvj5ugaVDymRvAhMRERGRA1JzzfzA/J5mbT2MRLLVqgUd2u0BoJV/ATuvHw6fTIX0dR5HJiJStBK8DkBEio7PB43Sg/1NVTi6uYfRlG45E7zplONHLsPZYfj9DnFxBhkrw+8sIiIiIsWLGQ22LAgs+tp28DAYyal793imzYBaJNJgyr8wKQ3KxMM9uyG+itfhiYgUCbXgFSnBNm2CZgT7Bit7pB4d80rOBG82M4edu8plbZAMvsToBiUiIiIiB2b9eqqmbQdgF1WocLTq2cVF9x4VAFhIK16o/Lxb+MAQd3BjEZESSglekRJs05zN1GEbAKlOBWjY0OOISq/8ErwA73/cHlYlQYYPMvTomIiIiEhMSE9naLVLWEArptOBuvX11bq4OPFEqFrVqEAKz+98KLhi0FfeBSUiUsT0V0ikBFu1vQI9+JPHeYEhzfpAnN7yXunXL2/ZR/Thide6wfHvwFWDwLc5+oGJiIiIyP5reig3lf2c1iygK6OoV8/rgCRbQgJceqnDGg4LXfHPGE/iERGJBmV7REqwbbschtODl3icEV2e8jqcUu3CC+Gdd+C556CC+9QY1dgZ3GDcClImzvIkNhERERHZP/6MHWxNrOjOE0+dOh4HJCFuv939tx0zgoVj5kDGRm8CEhEpYkrwipRgSUlpgfkaNcp6GInExcGdd8KTT0KlSm5Zf/qGbONc8IIHkYmIiIjI/krcuhu/3/06Xb26n3LlPA5IQrRvD2ecns5sjiWRmm7htj2wYJi3gYmIFBEleEVKsKTt6YH5GrVU6ywufD733zGcztM8Eygvk54CSZu8CUpERERE9tmWzamB+bp1PQxEwnrqqQSMOCbTKVg4aax3AYmIFCEleEVKKjOSEjMCi9XVgrfYyNnCox8PB+bjzceOH7/xICIRERER2WepqdR49HEe5wWu4Dvq1dPX6uLo1NPiOKXTembQPli4eDn4dobfSUQkRukvkUhJNXcu7359JAtoxQf0pUYNrwOSbAMHBufTKE8/gqP7Lnx/Cph5EJWIiIiI7JPVq2k48lde4Ele4RG14C3Gnno8mWUcHlhOX7oTdnys+raIlDhK8IqUULZiJeV8qbRiEU1YRePGXkck2c45B669Nrg8mtMD82XnrIDMDR5EJSIiIiL7ZNWq4CxNqFfPu1CkYGee05L45sER8PbO3QX+ZPBt8TAqEZHCpwSvSAm1Z8HKwPy6hMM4/ngPg5EQjgOPPhpc/pcTA/NtmQMpSzyISkRERET2ycpgPXslTdWCtxhzHDj6yrb8woU8yKu83vxFd8XuX9SKV0RKFCV4RUqozP+WB+a3VT6MhAQPg5E8mjYNzu+kOhtoAEAZMmHZP5ChVrwiIiIixVKOBK9a8BZ/Z1/RgIv5hdd5kA8XXuTmdTM3gX+316GJiBQaJXhFSihn5bLAfGLVJt4FIvkqXx5uvTW4/Cb3cT+v05Nf2VM2DlKnexeciIiIiIS3Mvi01Uqa0rChh7FIRK1bQ62a6QBsS6zEkmW13RX+Hd4FJSJSyJTgFSmh4tetDszvqtXMw0gknAEDIDkZ/JkpfF7zDt7kfn6nJ+8PPgXSl4Jvu9chioiIiEhuq1YEZ2lCo0YexiIROQ6cfFJ6YHn8v1mDk6QtUDcNIlJiKMErUhKZUX7jmsDinrqHF7CxeKlSJXDiK5C4vUKg7OHnu7qPjKVM8TAyEREREcnXyrXBWZoqwRsDTj6lTNacsWpEGnw1w61rZ67zNC4RkcKiBK9ISbRtGwlpewHYRRXiatf0OCCJ5OSTMvMWqgWviIiISPGyezds2wFAOmXYHNeQOnW8DUkiO/mUcpzFKNZyKC+OvBzuHwLzNkLmeq9DExEpFErwipREuUb2rVbd8TAY2RfvvR8cBe+Yyovg3zXgTwLzexiViIiIiIRYujQwu5zm1GsYT3y8h/HIPmnXDpaUO5oq5BhY7d2JkLE2/E4iIjFECV6Rkih3greah7HIPmnTBo5KWMIKmjInuRV25TeQuQ2Sf/M6NBERERHJtiQ4wNp/HKHuGWJE2bLQpH1Z7uD9YOGvC2DZDLAM7wITESkkSvCKlESrlwdmV9FECd4YEBcHHFqPemwGwNmbDq/8AxkrC95RRERERKLnuFbMvOw6+nMbQzlXCd4Y0unEdIZyLnsJjn3Bd/9C2nzvghIRKSRK8IqURPf05r6LR3AqY/iYPkrwxoiWbeIZyrnBgjfHQ2oS+HZ6F5SIiIiIBDWvwZjWV3E7/fmYW2jY0OuAZF91PrkWO6jB8zwZLFy4BdKXht9JRCRGKMErUhL5k1ib0YhxnMpCjlaCN0YcdVQ8ffiYFMoHC9+bCBmrPItJRERERHLwbWf9xiqBRbXgjR2dTioHwL+cGCwcughWzQIzj6ISESkcSvCKlES+RHbuCiYJleCNDfUbVGAn1RlEr2DhgH8heZJ3QYmIiIhIkH8n6zdVDSwqwRs76taF5s3SWcbhoSve/ht8m7wJSkSkkCjBK1IS+bayZVulwGKNGh7GIvusfgMHgCd4IViYlAIrF6ubBhEREZHiwLeLDZuCLXjVRUNs6dQpjnUcynTaBwsnrISMNd4FJSJSCJTgFSlptmzBP2UGG5eXCRS1aOFhPLLP6tVz/91EA8ZzcnDFZ9MgY3n+O4mIiIhIdIwbB21v5tk5fbiLtwG14I01nU9KAKAL4/A58W7hf9tgy2IPoxIROXhK8IqUNEOGENetH5tTa/Mht1C7NtSq5XVQsi+OOALisj6VV9AsuKL/ZNgyz5ugRERERMS1aBGs3MLpKaPowHRACd5Y06mT+28KFfmg0j3w4tkwqg9U2Kx+eEUkpinBK1LSLF4YmN1AQ1U6Y0iDBnDVVe78T1wSunLs6OgHJCIiIiJBi+cHZpfQkipVoEqVAraXYqd1a6iU1ZPdXcmvs6ZHN2jbEJy9kK5WvCISu5TgFSlpliwIztKSmjU9jEX220cfuf/+wQW8yGPsvKoLjLgZzjxU/fCKiIiIeGnxjMDsfxzBYYd5GIsckISEYCtegHGTc/wnpi+JfkAiIoVECV6RkmbJf8FZWmqAtRhTsSJUq+bOP8GLVP92LP3GXw5l4iFjpbfBiYiIiJRmS4N1sSW0VII3RnXpEpwfmzPBq4HWRCSGKcErUpJkZMCKYMXkP45QC94YVKdO6PIjL3R1uwRLne1FOCIiIiKSng6rtgQWl3G4Erwx6tRTg/NjJzVx+95dvAVGTYWM1Z7FJSJyMJTgFSlJVq6EjEwA1tGIPVRWgjcG5U7wAixdUQsyVoFvV9TjERERESn1ViwHnx+ANRzKXirRuLHHMckBOf54KFfOnc9YsQvfMW9Dl/7w4BDYo3EvRCQ2KcErUpIsDPYLtoSWAErwxqD69XOXGOsnpMPgOZCpR8dEREREom7xrMDsfxwBoBa8Map8eTjxRHd+HYdg2/e6C2t3wob/IG1B+J1FRIopJXhFSpIcFU8leGNXdoUTIA4fCzia0x98AP73K6z+F8zvWWwiIiIipdLkcYHZ7Hq2EryxK7ubhkzKsKpGq+CKEfMh+U+32wYRkRiiBK9ISbJkcXBWCd6Y1bp1cN5PPBtpECwYMUQDQIiIiIhEkxl880tgcRodAdRFQwzL2Q/vz/6LggsDJoMvGTI3RD8oEZGDoASvSEny34rArBK8satq1dDlfzgjuDBjHaTNAkuPblAiIiIipdWqVbBxGwA7qcogelGmDDRoUPBuUnydeCKUKePOv7LtTvwVyroL/22DldshY0X4nUVEiiEleEVKkkZVoHF1/DiBBG+NGh7HJPstd4L3X3L02TB6OeydDalzohqTiIiISKnVtClseIflg56gOyPIoCyHHgpx+jYdsypWdAdbA0iiJptaHhNcefGXkL7Um8BERA6Q/iSJlCT9LyFj8r3UKLOb1bidgqlvsNhTpUro8gROJrlMVtZ3zQ4YugjS/4t6XCIiIiKlkj8N4hNZGteSKVk/vKt7htiXs5uGiRVOCy5s2AVL5qkfXhGJKUrwipQU/j3gT2bpilrsyqiEEcchh6gFbyzK3YI3nXIMa3BFsGDIIshYDeaLbmAiIiIipVHmBjA/q9dWCxSpEUXsy5ng/SDxxtCVJ74FW78Ay4xqTCIiB0oJXpGSInMLAHMX1gsUHXNMuI2lOMvdghdgWPVLgwu/zIeVmyFjVdRiEhERESm1MjcCsHJNsOVEkyYexSKFpnNniI9358f8dxSpF7V3F+IdOLkJrJkFvq2exScisj+U4BUpKTLXADBvUTDB26aNV8HIwShbNm/ZvLiOULtSsOClvyFzffSCEhERESmNMjJg8E+wIpHlK4KjFx9+uIcxSaGoXBk6dAgujzmzDzSpARccDR9dCofVgMxN3gUoIrIflOAVKQm2b4cbH4fXx1J59NxAsVrwxq7rrw9dTk6pBM1rBQvW7HD74U35N5phiYiIiJQuCxfCDW/Cie/x0l+XBYqV4C0ZTj45OP/P4mNh6l3w4SXBhhUZ6zyJS0RkfynBK1ISzJwJ30+EV8dwzqLPAsVqwRu7Pv0Uhg8PLm/eUgb75ppgwf1d3Apn+rLoByciIiJSWswI/pi+OLNFYF4J3pLhlFOC8+OnHhW6cksybJoEvh1RjUlE5EAowStSEkyfFJidltkuMN+smRfBSGFwHOjSBcqXd5eTkhy+H3MGvNwDDq8FyxLdFXpsTERERKTozBwfmJ3mc+vZ1apBrVrhdpBY0rlzcH7GrCrs3VvGXXhjLLR+A459A+YN8yY4EZH9oASvSEkwM9iyYJrfHRygXDmoWNGrgKQwVKgAN9wQXH7w6ZOxG4+HSf+Dvp3cQn8y+JK8CVBERESkpJs1MzjLcQA0b+7+GC+xr04dOPJIdz4jw2Ha/PawbQ/8udgt3JsBgwZ7F6CIyD5SglekJJg9LzA7E7dlQa1aqniWBHfdFZxft74c23dWDxakZsLCzZA8OupxiYiIiJR4Ph/MXRFYzE7wqnuGkiWkm4YZJ8E2P8zL8ZTczIVgFv3ARET2gxK8IrFu1y5Y6nb+b/FxzMPteFePjZUMRx4Z+n+5MfFIt4L53kRo/CKcNgCufhLM512QIiIiIiXRzPGQnAbA7kq1WU8jwG3BKyVHly7B+RGjKkPnp+GFs4OFM9dC5uboByYish+U4BWJdTMnBGaTD2lOGm6nrUrwlhytWwfnN25vA/FV4Lm/goVDF8L2xdEPTERERKQk+/uPwOzsaqcA7uNxrVp5FI8UiW7dgk8+TprksH1nVeh7CVQt5xYmpcBPn3sWn4jIvlCCVyTWTQs+nv/T6uAoAQ0aeBGMFIWc/5c33toIyrWGK44L3WjqX4iIiIhIIRobbEgxIuOswHzOH98l9tWtC8cf7877/fDbb0D5I6HrEcGNPvjKk9hERPaVErwisW5cjpF96RiYP+QQL4KRolC3bnB+3TqYt6I7vPV06EaTJiAiIiIihSQzEyYGx7kYvNVN8MbFBQflkpLjkkuC8598ApRtCQ+fnt1oGyYugs3TvQhNRGSfKMErEst8Phg/N7D4D2cE5pXgLTlyd7cxabLD/I0nktnv/GDhR8MhPSW6gYmIiIiUVLNmwW63bpVeuyZLaQFAixZQvryXgUlR6N0bEhLc+YkTYdzE2tCiDRzb0C30G4z60bsARUQiUIJXJJbN/Bd2uhXPbWXqsZhgc4KTT/YqKClsub9E3HYbtGlXjwu+ehYrF+8WbkmG37+IfnAiIiIiJVHVTLijMxzbkDWHdya7Kae6ZyiZ6tWDq64KLt/W12F3XG84/ehg4V/j8+4oIlJMKMErEsvaNIC/b8X/TDfedO4nu+I5aBC0a+dtaFJ4/P78y4fNP46dl5wSLPhNCV4RERGRQtFoJzzdFUb24aMTBgSKleAtuZ5/HipUcOcXLYJLLytL+qk56tqjF0KaBjYWkeJJCV6RWGbboE19tl56Fi+nPwhA9epw5ZXehiWFq3r18OtuHPlYcOGfhZCxpcjjERERESnxMtcEZv+dUTsw37atF8FINBx2GPTvH1weORKu+6wP/mvaw0eXwIg+kL7EuwBFRAqgBK9ILMuqYGxNrBQoqlcPHCfcDhKLrr02/Lrft53ODqq5Cxt2wSI9OiYiIiJy0HyJAKRnlGfa9LKB4k6dvApIouG66+CZZ4LL3/1anwerfgwXtoZaFSFjBfi2exafiEg4SvCKxCp/slvBALZurxkorlPHq4CkqFSqBEOG5L/ORwLP8yRvHvEizLwHGq0EC9Ong4iIiIhE5k8GfxoAc5a0IzXVbT3RpAnUr+9hXBIVTz0Fd94ZXH7zg+P4Z3xTdyFzB+z5y5O4REQKogSvSKxaMd0dWAu4/+lugeIaNbwKSIpS06bh173J/QypexUcUs39QuLbGr3AREREREqaxx+BS76EZ0ay7HcLFKv1bungOPDWW3DuucGyG+7uye7kstDnR/j0R89iExEJRwlekVj17Gtw9OvQ9k2aLRoXKI7Tu7pEatq04OR9ampCcGHvWHbuyOCOO+CJJyAzs+jjExERESkR9uyBDz6H8Svhg8n8N00J3tIoLg4+/hhqZj0ouXZdVR577nSYtR6eG4IvbQd//OH22btypbexiogAJETeRESKpZkL3H837mYTwYEfbr3Vo3ikSFWoAOPGwahRYAb33x+6fvL0Q9mdXJYq5VNh+3Qe/b8e9P+wDABlyriJ3vh4DwIXERERiSWTJsGuPQD4m9Tl9VnBJ+XOOMOroMQLDRrA22+742EYDm0+/wzYCcAvzR/lsvXuiGzly7vdqZ15pofBikipp7Z+IrFo2TJY5I7sa3EOcwkO59u1q1dBSVFr3RruvRfOOivvOgc/A26uCf1Gw5Gv8c+H6wPrnnkGEhJg797oxSoiIiISkxYuDMyua9aJ5L3uV+YWLaBVK6+CEq9cfXV2Vw0ODdgYKL9w/cdUzUr2pqbCjTdCSoo3MYqIgBK8IrHpww/dZpxA2snHs5sqANSt6ybypGRr3RqaN89bfsc/98HbEwC4m7fzrK9UqagjExEREYlx82cEZifv7hCYv/BCt29WKV0cBwYMgBo1jCd5PlCegI/OTAosr1njdukgIuIVJXhFYtG40YHZtecE+2Ro0MCLYCTa4uLg229D+4Ez4viMGwLLfRnAqYzJs+/OnVEIUERERCRWLZwfmP35v3aB+Qsv9CAWKRYOOQRGjHDYXL81H3NzoHzAuZ/w7rvB7T77zIPgRESyKMErEmvMYNGiwOIpj/QIzDds6EVA4oWOHd0u4ubODZa9xGMh29zEJ3n2W768qCMTERERiVF+Pyz4L7A4eWdrAOrVgxNP9CooKQ46doTly+DYu+oEyg4b+hPXnp9E+fLu8uzZsGCBN/GJiCjBKxJr1q6F3W5nqonUZDP1AqvUgrf0adMGLr/cnd9AI97i7sC6LozLs70SvCIiIiJhzJoFO90B1nZVrMNaDgWgZ0/3CSop3SpWSqDjkz2gevlAWbWzT+C884LbDB3qQWAiIijBKxJ7cgz8sICjgWBnYPXrexCPeO7uYE6XB3mNZNzOdg9jDe2ZHrKtErwiIiIiYXz9ZWB2dFxXsuvZ6p5BAmq0hVvPCS6vXsO53TMDi8OHexCTiAhK8IrEnikTArNugjfohhtybyylQefO8OCD7iBqmZRhAicH1k2nI2//nz+w/OijkJzsRZQiIlJYHMc51HGc0Y7jLHIcZ4HjOHdnldd0HGeU4zhLs/6tkWOfRx3HWeY4zhLHcbrnKG/vOM68rHXvOI6GkZJSbEJwnIuPknsBULkynHGGVwFJsRNfFR7vF1xOSePcJsF+GSZMgN27PYhLREo9JXhFYs2ffwRmcybyvvkGDj/ci4CkOHj11WDi9v+4N2Rd58Q/QpYHDIhWVCIiUkQygfvN7CjgROAOx3FaAY8Af5tZC+DvrGWy1l0JHA2cDXzgOE581rH6A7cALbKms6P5QkSKDb8fkncEFv/F7XT3nHOgXDmPYpLiqXIzOP9oaFgVzj2KOpXn07atuyojA/75x9vwRKR0UoJXJJakpUH7w5hEJ3ZQjZF0C6xq08bDuKTYeOABQu4LgGM2hz4rNn58NCMSEZHCZmYbzWxm1vxuYBHQCOgJfJG12RfAhVnzPYHvzCzNzFYCy4DjHcdpAFQ1s8lmZsCXOfYRKV3i4mDSYzD1Lp49fADbqQXA+ed7HJcUP04cfPYmzL4XPrscmi/l7G4pgdXDhnkYm4iUWkWW4NWjYyJFoGxZeOE0TmISNdnONoKjuLZs6WFcUmy8+ipMneqQ+vpdbsEpTSnbvj5jxgS3mTHDk9BERKQIOI7TBDgOmALUM7ON4CaBgbpZmzUC1ubYbV1WWaOs+dzlIqWP+cG3lZ016/P8ylsAcBzo3j3CflI61TgZ4msGFnucMScwP3QomHkRlIiUZkXZglePjokUNt828O0CwHK8fYcPd3O/Io4DHTtC+b43w+an4KfecGl5Tmo/iwoV3G3Wr4fNm72NU0REDp7jOJWBn4B7zGxXQZvmU2YFlOd3rlscx5nuOM70rVu37n+wIsWdbzuYj78nHIXP57412rWDOnUi7CelU1xFqNAxsHjyhrdpUH0PAOvWwaxZXgUmIqVVkSV49eiYSBHI3JRvcefOUY5Dir8KraFsU3fen0JC5vRA32AA8+Z5E5aIiBQOx3HK4CZ3vzGzn7OKN2fVncn6d0tW+Trg0By7HwJsyCo/JJ/yPMzsIzPrYGYd6ijjJSVR5moAho8+JlB0tpoVSUHiG7j/DphM/E3f8dphLwZW/fabRzGJSKkVlT54o/XomFoWSIm2Zw+ku9+5atZICxTXrOmO7isSwnGg8jnuv7M3wK9/0axR8HNx40YPYxMRkYOS1V3ZJ8AiM3szx6rfgeuy5q8DfstRfqXjOOUcx2mK+0Tc1Ky6+G7HcU7MOmbvHPuIlB7TpkH/17EZ6xn9V61AsRK8UqAyjeCv5fDUSAB6bviUSrijHv/4o7ppEJHoKvIEbzQfHVPLAinR3nwTWl8Db4+nwp4dgeLRo90cnkgeCXUhsyrsTIV+o7l/zjWBVUrwiojEtJOAa4EzHMeZnTWdA7wCdHUcZynQNWsZM1sADAYWAsOBO8zMl3WsvsBA3KfnlgMaHkhKnx8GwX3f4fQYyA3r+wFQrRqceKLHcUnx5pSBE4+HimUAqLx1M+8m3AvAwoUwbpyXwYlIVFim1xEEFGmCN9qPjomUaP9OhLXb4MV/OCN9BOAmdtu08TguKd4qNYWJK2HxVtotG8nhLAXg4Yc9jktERA6YmU0wM8fMjjGzY7OmP80s0czONLMWWf9uz7HPi2bW3MxamtmwHOXTzax11rr/ZXWJJlJ6mMGwoYHFWRwHwJlnQkKCV0FJzKjbBl45J7B4Q+ZAjmMmAI89Bn6/V4GJSFT493gdQUCRJXj16JhIIZs5IzA7DbdDfzO13pUIkqrCWxMCiwO4DQe3pnneebBokVeBiYiIiBQDo0fDfPcHcJ8Tz0ROAqB7dy+DkphRtgX0vhy6HhEouizuJwAmTYJnn/UqMBGJCtvrdQQBRdmCV4+OiRSW9eth0zYA9lCR/zgiwg4iWRq1h8HBrhnO5B/60h+AoUOhfXvYlP/YfSJSEvhTvI5ARKR4+/m7wOwncX3YSEMAunb1KiCJKWUaQbVecE3wF4Fr6gXboz33HHz/vReBiUiRs3SwDK+jCCiyBK8eHRMpRAPeD8zOoS1+4gFQV9MSUXw1OOsEuPvkQNGjvEx2V+YpKTBqlEexiUjRK0aPjYmIFDt+Pwz/M7D4o+8iAFq0gKZNvQpKYlKP+wOPVh66cQH3dRgTWHX99TB7tidRiUhRKmb17CIfZE1EDpIZDPw4sDiQm4PzA70ISGJOpXPh6VegajkADmE9rVgYWN27Nzz9tFfBiUiRKkaPjYmIFDsjR8Ly9QCklq0U6J6hWzcvg5KYVOcw6NwusPj6/LPp1GwzAKmp8OijXgUmIkXGX7zq2UrwihR3CxcGumdIiq/Jl/QG4PXX4YILvAxMYkbZplCtA5x6VKCoR66ebp57Dvr2jXZgIlLkilnLAhGRYuWtVwKz31e6ib1UAtQ9gxygl4JDDzmpaXx/y8jAeCnDh8OCBR7FJSJFw4pXV2hK8IoUd59/Gpgda6fiwx3O9/rrPYpHYlNcOegR7Iv3dR7kNEaHbDJggPt7goiUIErwiojkLy0NRowNLD6XdBcAFSsqwSsHqEsXuPoMd75KOQ5tOJELe2YGVg8a5FFcIlI01IJXRPZZcjJ8/FFg8RP/DQA0bAi1ankVlMSsK2+EKhUDi8/zZJ5NVqyIZkAiUuSKWcsCEZFi4/nnA7Pbqx3KCpoDcP75bpJX5ID07Qu3ngBT74Kz69P7ssmBVT/84Pa+JyIlRDGrZyvBK1Kc/fwj7EwG4D9aMJRzAejUycugJGbVqAED3wosHltzKc2bhI76mZQU5ZhEpGgVs5YFIiLFRuVyUL08AKMzTgsUX3GFR/FIyXDSpfBWf6jl/kpw9iljqVzZB8DSpTB3rpfBiUih8ivBKyL7yr+VbfWb4COOr7kGy3rLnn22x3FJ7LrsJvjiWph2F5UX3caymZ9we19fYHX//h7GJiKFr5i1LBARKRb8e+G2Q2Hu/cy58Hbu3Ov2xVunDvTo4XFsEvvKtQEnHoDy5TO5oMe6wKoffvAqKBEpdMVsMGMleEWKs8s6UmfTSqqwm3e4K1DcsqWHMUlsc+Lg8vugaSNwHMjcRLm4pYHVkyfr0TGREkUteEVE8trzN2SsYmd6JXrO/D820hCA22+H8uU9jk1in5MA5du584u38NTeu/kUt6u9n3/2MC4RKVzFbKyLBK8DEDlQf/8Nq1e7U6dOJbBVq28XZKwETiOFiqQQ7AysRQvvwpISoPyxkLkBUqYCsGZpBufxB0M4H3C7fq5SxcP4RKRwmB8szesoRCRGbd7s1rdr1HAHHUsoKd8cNy+A+NlkZMRxWZ/rWL2mLAC1a8M993gbmpQgFc+CtTPh1P60NGgJ7KIqDy/qx6JF5TnqKK8DFJGDpgSvyMH74Qe4/PLgckICLFgARxzhXUyFynywtD9DpjXKd3X9+lGOR0qeskcEErwvlHuaZgzhcJaxlsYkJSnBK1IiFLNKp4gUM5nbIL6W+0SPpQNl3MYFafMZMfZYLr3qEJKT3Qc+O3aEoUPdLgxi2txp0PZ47NVzuXP+M4wa3TCw6r33oHp170KTEiauHBz5BJzyA4ybB8DdvEM50vjppwE88YTH8YnIwVMXDSIHb8iQ0OXMTPj+e29iKQopfW/krwfWcV/v4/OsyzHgr8iBK3s4lDsKRi+n5bDfKEsGb3A/8WRqoDWRksKU4BWRXDK3QdoSSFsEO96H5N8gbSHsHAQpk2Dnl6xcsoJLrqgfSO4CTJsGl14KPl8Bxy7u1q2D9p0BcB4aSrUv/w6seuYZDa4mRcBx4L7QL2+38SG/D05Vl2giJUExa0yhBK/EnvTl7N2Tt3Y5Y4YHsRSFIQOp8OGXtB76A+9yJ7cRHPXqxx/h0Uc9jE1KlsoXwK4GOJl+AC7jR+ZyDDs3FK8/VCJygIpZpVNEPJYyFXZ+AbsHw7B+8NQI+PNHGNoPPvgeNvyBGQy+OoPkveXYRi2OZn5g93Hj4PXXYrjbl7f+z20VkmUJ7qAWvXrBU095FZSUeBdcAPdeH1LUft5nTJ7sTTgiUkjMpxa8IgXZkeTDl2lgmdje6YwZOpZ/Ru3CUheDbzskj4DdP5CctDLPvr/95nbR4Pd7EHhhGT8ezu8DQH02052RLMLtoCkuDi65BOLjvQxQSpS4CtDrGagYHE2kFYtIef8TzCAjw7vQRKQQKMErJYHpj9FB8+2AXWPhyhug9gNQ5ym46AvoPxmu/AYu+RIeHw6XfMlHnx3HoP+6AVCL7cynDT+f/Qh12UwXxjLo2WVs2ODtyzkgq1fDG28GFr/jCn7jQo48Ej7+2G1oKVIkHAfe+AQe6RUo6s/tzLvmldj+3ipS2vl3FLvRyZXglWJj6BAf9Rs4NGuWwvblHzD+w7Hccl4DzuxWlb8+ngCbP+KVfvFUbXIv4/5pwGUMpjnLQo6xdCk8+KBHL+AAmLkDWgHg85F5VfAPfwrlqc9GxnIaEOOJaym+KlaEd98LKao99Avi44zKleG66zyKS0QOnrpokJLA0r2OIHb5Et1Wuzs+ggU/wO8LC9x8x2FNuP/Z7sTjYwMNAuUXDe/HZuozltOYkdqW3678CDJiKMu7cyec0DGwmER1buRTAD77zK0KiRQpJw4e7U96g+D4KreufJRPjn0rNn8wERHwFb9+DZXgLQwWy51RFROWwaN9N/FO2m2MWNsOp9VzdLnvAf6jJYZD17v64D/mRb7tV4/dyeV4mH4M5goWcyRvci8Q/OXkzTeLf3cN27fD3Xe7rXKrVHG7XuCv30hYvy6wzc0MZDPB0dSqVvUgUCkdbryJwb0GBhbbM5MhnIulp/Pll7B2rYexiciBK4YVT5H9pgTvgfH7YczX8N934N8LzWphZQseX/vmvx9mT0p51tCYLeUb5rtNAj76jL+dhb9/4yaP904oiugLxfr10L8/LLr9ddi8NVD+EK+SQkUuvhhOPNHDAKV0qVqVsl98GlJUft4MWh2RzsCBYfYRkeLLt93rCPJQgrcwqOJ54PypkDoLS3wT37od3MLHHMkSamQk5tl0YOJVVM3YAcCzPM0n3EgCPu7lLYw4DIcdVONlHmHM6OL9f/LMM/DOO8HlVy6bDmdfElj+imsYxNUh+7zySpSCk1Kp7KU38gk3BpbPYRiP8jIAxx7rjksiIjFGCV4pCcynxhQH4sV74Kx74LlRkJTC9p0V6dN4MFM4nl1U4WmeoWXcEm5lAF9yLb35gp/29gQguVwN4kbcBn/eDFXKhRx2N5V5nzv4++k0SP4T9vxVLLuDmTULWrWC6bd/wlGDXgiUf8/lDORm4uLghRcKOIBIUejajcx5/7Kl6mGczHh68xU795SlTx/47juvgxOR/eLLm7PymhK8hUEJ3gNjBmveYsfk72nV6QYasJGvuZpxnJLv5rfwMUfwX2DZn8/tW41dPEI/Zj04mNtu2kB66h7w7Sqyl3Cg3n03dPk9/heYT6MsL/FYyPqffoI+faIRmZRWXbs5vFTzDbZRK1D2DVcDxvbtcOON4fcVKSnS0mD0aEhJCb/Nn3+6SYGtW8NvU2wUw5YFIgdE/fBGZpmQtgRSpsPqQfBUVmVz2lq2/LGV03pexyfLLuJEplCNXVR/vgtzd1WhTb9jeLjuB3xFbwBq1vTzx+8Ox5x8LXR9CWY/AW9dAH/exPq+l1CFZGqynQcWPMikqYe650iZ4tGLzl9GBlx7Lfh37eY1gn23+YjjTt4FHK67Do46yrsYpfRKaH0CdRdN5OWvd3NE820ANGQ9f9z0M1tWFr8fS0RKKjPwHczvx0rwllBK8O4Xnw8GD8pka7su0PRRki//hcXL6jKTdhzPVLowHnBbsX5A35B9OzMJBz9+4nmOp/BVKJffKfiaa7n802v4/J1/INWtdG7blqO/Ww/l7oe7KStIpnJg+RY+YjHBGmeLFnDxxZBQ8FN1IgelUiVYsL46rZlPEtUBWMchgDvqyKhRbivygv4ImoUMTi3F3IIF8PffhTs2wLp1cMop0KMH7N4dfruD6VN8+nRYuTJ4nDVrDvxY2X7+Gf7v/6BbNzjjDPff/Cxb5g6G/eSTULcunH66mxQuSHr6gV/jOXPg/fdh+fID2Nn87uAPIiWB6toF86fBqC/h6sugxonQJMdTYGt3MvHhncxb7Hb75TjGh/0zuPfxLpSr1ID/PdSJFcvTGD7Mx++/prBqVRxdu8VBXDlIqAONb4MbesFpN9Ho7U/45cg7uYwfeIEneOG547FhS+Dex+CtOyB1Jvi9r2x//737N64s6QzhvED5O9zFVupSqxY8/7yHAYo0bMQpV/dgyrilNGuynSRq0HXv75RpfUTx+MIqUoL5/W5jjfr13T7Yr7oKNm6MtFM+rT8yNxdJfAfFzErk1L59e4ua9HXRO1esy9xmAz/aYxfxk5n7nde2UdOqs93ALIF0a8Raiycje3XY6ehWKZa5/D2za44zA5t31dUhG9zJ23bdFbNs3JAfbfD3mQZmtWubbd7s7SVITAx9HRVJthd51AzsN843MKtTx+zjj80uv9xs9mxv45XS5X//M6tBor3IoyH3aRnSrAJ77JNPQrcfM8Zs/Hiz+fPNGjQwa9TIbNmyg4/D73f/HT/e7JZbzCZODK6bNs3suOPMrrnGzOc7+HOVRosWmcXHu/+3AwYU3nGvvz54zzz+eN71O3eadejgfsaNH7//x//446zPzYpmU6eadeniLj/44IHHPG1a/n9jdu7Mu+2tt+bd7vXXwx/7xx/NKlQw69jRbO9etyz73g5n1y6zX391r0/58u45Klc227IldLvp082GDDHLzAxzoMxtZlueNkv6tOATFj7P64CaSlg9O2OrO0n+/H6z607L++GUNX3PZQZ+9295GbMvvzy40y1dvNvKxKcbmF3BtyHn8lcsa/boNQV8MBU9v9/spsNHW3OWGpg99/DfNqLfF9ar4k8GZrVquXUXkWLB77cxHy+2yZwQ+t596EGzRYvs00/N2rRx69eXX262cKHXAYvXUlPNFi82S0srunP4/Wbbtnn6Ub7v/H7bsW637dixz5vnW59v2tRs9YLdZu+8bvbl52bfDjJLSjL7Z6TZvVeY3XSi2ZR+Zv5Ms8xEs7EjzF4/z2zxg2bpq4v0JeYjbP3M8wpiUU1RrXimrYjeuWLZko/MBlxsr/BQnnfUAG4JKVowZ1uByd0//3Tfb+bPMNvxpVniW5a8ZZz14mszsJ1UsTMZle++99/v7WX44AM3jrpsMjC7hzcDwZ3DEAOzs8/2NkYpvfbuNfv6a7Nrr835vvHbSzxiBvbISWPN7zfbs8esX7/8358PPXRwMTz9tFnNmmavveYmjcGsYcNgMrdFi+C5cn9R3bPn4M69PzIzzZ54wqxvX/eHm1jSvXvo/9nBSksze/XV0GOWLZt3uzvuCK7v3t0t8/vdz8UbbjBbuzb8OXbtCv83Iedr2L7dbM0a94eGk082u+wytzLs87k/FKzOqoP99ZfZP/+YnXJK/sdbvz54zJQUNxHcrVve7S64IPg6li4NVoZzx/vll2Y33mhWo4bZZ5+528yd6+5j5sb1zz/u+nCvsW1bs59+cn9QiYtzy957L++12rnTbPe2RUrwaiqyKeoJ3vQ10TtfrPn6sfw/MMB+5YJAI4pWrcwmTCicU956S5qBWSV22zqnUZ7z7uhzi/sjU7Rt2mTrz3UrMOfxu1WokG5b10w3y9hqycluo4lo1hNE9klqqm0t1zDf93A/HrSWLAoUlS9vNniw1wGLV0aPNqtb170X6tZ1lwuT32/2+edmhx7qnqNaNbMnnwyfTE5NzWdderpbUd3P7LDf797b55xj1rPxTLu3zUh78w2/m/PJR8reTPv87ZW2qHxbSyfBevO5dWyyxT68YIiNHb7bMpIXmGXuMps1y+zdt83uvd0MbH3t1nYik+wM/rIN1LcJdLZTGW1HsjDs31IDs46Hmq1+zGzH57brp3tD173+1H691kIQtn7meQWxqKaoVjxTF0fvXLEoM8ms10lh3yxP8mxIUXy8u1t6utmqVWbDhoXucuKJuY7v97m/pJhZpUpmjVhrpzLaHHwGbqvgV3jIfuASu5X+VpldtmSJu2s0fplauND9op8N/PY1vWwTdQ3c1pK3MMA6MTHwGvv0KdqYRCIZOTL7Pee3D+ljPpzAm/DDVm9aLbaG/ft36KH5H3P6dLP//iv4vDt3hv+7mp0Iy1l21VXBfW+5xS27557CuQaRfPVVMI6DTWpHi9/vJlGbNAm9jpE+czIzzXr1crdt1sxtPZuzJerAgfn/n+WulGUnJXMmZX/9Nbh80knhY+jdu+B6V3q62YIFbmvX3Os+/NDsnXfc+XLlzN5/v+Bjgds6IvuaZbcUDjf99pvZnXcGX4PfH/xxInvq0CF0+fvv3X8dx01uR4on59Sk4marwk5z8FktttrYe96yXU/1Mduw2N5+26xcOb9Vq5ZuSya/Y7dev8h+/32/b5WD4Um9T1MJrmdnbDVLXRS988WK3cPNEt8w2/yU2fsXhXxIfMk11pq5BmaXXur+TS/MJ142bnSfxACz0/jH0kmw3B9U23udYbZ0oVnm9sI7caSgypULnP8CfrVbb1AjHIkN86fttSW0yPM+MrBM4qwrIwJFx/OvfX3fDK9DljAWLnRbW9epY1a/vtl110X+/mPm1h2/+sqsRw+zrl3NPvoo9HN740a3AUzO26NyZbM5c/Iea+1a91gvv+w2brvhBvd70mefuUnZcJ56Kt9b0M46y2zXTn8goLVrza64wiwhwayNM8/+aXCVrbz/XbfFy1FHBnZMadLcvj3zY2vf3uzh+p/bglqdbUvT9u76Y9uYvfCC2eknWkqn06xf6y8sgXQ7lNX2KC/aLtwK/Q/xV9isJj1tzoWP26Tbv7JRV35kfXtvttq19tidvJ1vwMtpavWrbbf7rptkaYcekv+LyjENd7qbg8/O5s+Ct330dOv35EiLj8u0txPuDl33ww/7c5scrLD1M88riEU1RbXimZLPu0pcvhSzRa+bndrMrGHVPG+St7jLsh8by/lBlVt6uvvheOaZZisKqKstWGB2zDGZgWM1Yq1NoWPIOVfQxK6/OMm++MJNNhx6qNnzz5v17Gl22GFua6yrr3YTAPmZMMFthTZtWsEvfcoUs8aN3dPWrm3uYwO7dtlPuJVwH47FkZnvZ8fu3ft2eUWKys6dZtWru/fjG4e9le8fuUFcGWiJnnvK+f7Yvdvsk0+C6z780C33+83uvdfsvPOCyds5c8L/Tf35Z3ebnGU9e7plixeHlu/LF9mxY91Wpzlbapq5LT8HDjTbWsATwQMG5I2vKGzY4LbqPJgfopKT3Ypi+/Zmhx8e/vrOnOlun56e9xhffBG6bZMmbkvq2rXdz8RDwtSdhg4NPU7u9UcdlbdsdZinnCLUzaxq3j8xYSZ/nr87Bd3DM2fu63GD0zHHuP92ZIpNp519zE0WR6ZVJNmOZp69wkP2FVdbHTa7fyPYYg/xin3F1XYpgw381o3h9hxP2DC626O8aI1ZZWB2Ln/YXty+G3ZSJc/Jj+ffwOLh/GfX8KXVrpBsU6Yc+D20nw6o3qYptqaoJ3hTlMwwM7c1UuZ2s5SZZlufcVvpL3/E7KQmZmCr7r/XEhJ8gc+AJ58sulAmTQq2JGvHdHuH/1nuzyN/2QSzf++yaeOm2TW9Mqzpoal2zDF+e+21/P/WHLC//spz7gl0tqWT1bWHxI5nL56d5z42sKFNr7apTz9mRxy+3a7hy0D53x0espRlB9ZVpN/vNrIcPdpt8FTc+P1ut1w9eriNENbEwkMcqan2wdvplpD39y4rW9ZNnqak5Nh+/Xo3eZGYaLt2mV18cd79Lr7YLGPVOvMn77Gbu66y2/jA2jIrZJsjWvht99wVZl1Pt/RevW1Qp7ftZy6yu3jLEkgP2fZO3rb5ZY+1XSd0cbO/Z53urnj+aXvz9ZTAdl0YY1PoaEtoYT9wib3CQ7Ytoa5llitvwy7+yCpVcv/O1GJrvvdszukFHrNDWGMZxBe43RZqm4PP4si0S/gh7HZT6WCNWWVxZNoKmoTd7iuutlpstabOcptS74zw5764tf362dcWH5dpL/Nw2O02V29s8y+9MvAdojs5WiHef5ubgY+esPUzzyuIRTVFteK5d1L0zlWMzZtn9ssvWc30UxLNdvxptv1dsy1P2943Lg15g/zJ2YEvtrmnWrUOLg6fL/gDfkWSbREt85zkX463piyP+CU99y9iI0YE17Vokf/5N250E8a5j/XFTWPzFHZnmM2a5fYnmXOVSHGwYIH76HxSkln/ek+HfaP059bAH7s4Mq0+G6xWDZ+lp5t9803+u733nvt5kb185pnuOX/7Lfz78c033W1ylp11llv24Yeh5Tn7YfL7zX7/3f3+l12+bp1b2QI3OZld4UpNdX9tB7Nzz83/ukyYkH98Byo52ezff80yMkLLt20LtgK94AL3x61nn3WvWzgffeR2r5H9lIKZ2xdupM86cP+vOnZ0f2S75hq3tYHP58YWad8W+Tc6sbfecmPw+93uLPYljnPOydtPrd+/b/tGmk5mnK3kMEulrP3BufYa91tZUgPrG7DenuZpG0oP++ScH213v3dtZOcnrBvD7SgWWM7E8AlMtsd4wc5klF3LF9acpdaFMXYbH9gtDDAwu5GBtpymYQO6nfcMzGqyLWLwc2ltFUm2VMoWuN1H3ByI8zLcZsLD6Wb33B2h89/Cg6aSP0U9wbtnXPTOV1z9O9HsuKyWAy1qm316udn6J9wkb+LbtnfLSDsy2HDKOnXK+3elsO3Y4T5S+83Xfls6f77Nefoty/l59F35XnbL4T9YE1bYZuoEyi/iJ+vSJfQJNzO3Dj14sNtHbkE/bKammm0fPMp2XXODpdfL20WEgfU7dlDRvniRQpaUZNaunfujb0em2OvcZwbm73CY2dZnLXHhS/ZN/bydh84p094+KtPX/uYM+y6hl13deqrddWeKDRrk1n3//nazDft0g33/vdtA4ZZbgo/gg/u9+anHMsy3t4CmndlSUqIyAMZzz4W+zDp13O8lZub+OjRuXN4PkIL4/fl+IPr97hP8v/7itzFj3ESyLzOrr4BXXgg9x44dbqIjY0ueiqrvtz9sb7mqtpVaNpAb7Xsus+m0s578Eqwrs8RmJbS37Qm1LcUpH/IC55ZrH8iNtGGOfck19ggv2Zdck+/nW0ZCWWtZYYVdzI/5rs+e1tPAarLNEki3V3kg7HZbGzWzaiQZmFVlhyXH521AkD3dz2tWjmAy+AJ+DbvtdXxmFdhjjVmVt5/pXNPh/GeO47d7bple4HYGNpAbrR4b7fj6S8NuM5fWVoY0e4Hw3RgZmD10q1nKAhs7fKp1aLPNHuIV2+64/aVNrXWWXc53ln/DEL/14UNbdfE5Zpui3uAzbP3M8wpiUU1RrXgmj4reuYqplSuDg8G812emWfXKZs1rmW140lJ/7mM+J84yibPjmBHp/WrPPXfw8RxxRPB4h7DGPuO6sCf8kD5hk83PPBM85saNedenpbl/CAYPDra6PfnkvG/+q/kqz867qWS/fuL+ZPrRR8FVvXsf/OsXKWznnZ1hkzgx7PuoDXMM/PY9l5mB/cG5VpldBb7Xa9UKXS5TpuDPhnvvzZvo69zZje+FF0LLV60Kxp49MFfO4/yYqz40Ket3utwtiLMHxjJz64VpaXnPlT3lJznZ/cX+7beDdcHs+uWUKWbDhwc/r26+ObR/wEceCX8tOnd2W9XmtDBH11E9egTLsxPW+z9FbuWaPTVr5rYWdVsV+K0m2yyeDKtXz+1Wp2flv+w9brf2TLO+vG/38KbVY2PIOSqx257kWfuc3rbo6W/dfiB6XWa+c861Oc/9GtIK4SJ+sm+5wh7lRbuc7+x6PrXJnGCfcZ3dyxs2gFvsBCaHHHsceT6czcBe4aHA4vV8WuALfZB+gZibsCLsdj4ce4SX7E7etg3k/x+wgKMCi2VJzffHyOxpOu2sOUvtSgbt03/I/3jHwKwXX1sS1eyThk+YP72IMz1BaCr5U9QTvLv/jN75iqMFC8wqV8j7fr+/i9uYwpcS6KYI3C7LCmPA0wOxsM+TgUA2UdfaMMcOZbWt5tCQ2B/jBbv6mDm2a8Z/5veb9e/vDkqZvckJJ5htnLnB/YOenm7r+n1pr/X4yxo2NKvPhpCEcc5pKh0sIc6nQYolJiUnm/3f/7ldf02bZm4T29uvN0tbZbZ3kmVc0zHf+z57yiQukID7lQtC1r3CQ3Y2fwa6McyeGrLOVnOoZTgJlnF5L/vvkofsweY/WcWKfju2bZp9/uleN/k7ebJZrRpmdWqHPFK7bp3Z5El+W//vGjchunq1ZcxdaF994bMnu062V84cab/85AvJiS5Y4HZVNXOmmX9vipuJznqc749fE81xgj9UX8G31pvPbUyF0AEk0o9pZ4ldrzB/+awfvnv2cFs1tGhhVrWKbfp0qH3xhdkbz+629Q3b57lW6w473jYmNLSFHGm9+NrArBpJ9n38lQVe4wdbf2039t5kP3y7wVInDLLM9q3Dbjv93Zfs+HZrDSzwHSncNIRzDMzuumy07SxXvcBt7aLW9vUHP1oC6TaaU8Nu99dx19h3vfrZtLN7FXi8SZwY6K/91qN/Nn+lghsTnMfv1vqozTZ2yBBbNvaXsPfiW9xlF52zwCb0C/PlKWtaREu74LApNv7PH92/+WlpZoO/L3ifpwZZZnqK2cZcLW9uusn8Lz5tY3/aat27u/dRRZItjkxz8NmwNg+ar+3hZrdck+/gH9njdpi5PzReeGHB/xUvPT5Kg6xFY4pqxXPXb5GHxS7h7rzT7Gq+srHkGK3mg4vsmw9+sLJlM+woFlgNEgt8c3TrZnbXXYXzyFbXrnmPX4nd+bak+pGLrQxpdgSLbQC32FM8Y/FkGARHgV+5Mv+Y164NTZ5UyFX3rsoOm80x+e58BMG+m/fscbuFuPDC4vmYjEjv3mblSLGTGWd38K79Qk8z3H7+jmCxgdkpjLU1hD6rP5FOdhXf2M18ZI/zvF3Iz3neDmVIK/CzIXu69FL3vZKz7Mgj3fjuuSe0PPuLXbiWn7lb2Q8c6G6fu3Vu9oA0Gze6XbhUqhT8MSv3FKgM7Npj112+1ypUcAcnyF7/669mn34a0kVgvlPz5m695vzzs8v81oxlFhgFnTQ7k1FWh832889mV17pdnVwxhlmpzLaHuBVq0FioPVT+XJ+e4LnbC6t7Smesav4xm7nPXuTe6wDUwPnvYzvbTCX2of0sa0Es+8+HDuWmXniPIQ19g+n2VZq2UjOyvNCZtHWKrHb2jIrbJLzS64JLH7MTQVemHf4n4FZHTYH+uUKN/lwrD3TDMw6MLXAbROpYRVJtgd4NaSv6dzTyzxsZUgzB585+PLc67mn7AEfCtrmUFYH/lbk14dl9rSF2laJ3VabLfYfwX42ptDRujIi68ua3zoyxa5kkFVit4HZzXxk1/NpoPV7lKCp5E9RT/DujGrfdt7z+80WjjP781uz3ufm+UwwsJSjW5pt+tvMtzdPv+Iff+xt+L9+t8ReKfOYJVHNnudxK1Mm0z49LvzjJPNrnWSV2WVV2WF/craN5Cz7mvwTEtlP4B3GSuvL+7ad6oF1T/GMgTsIrEiJs3WL2VHud9nM+LytIjZQP1Cvu4V8+hILqU/5rVrVFGt62G77nfPy3S677ncoq/Ndvzuuqh1fc0mgrrqYI8Ke817esJM67bbBz/5ofzTta0M4x17gMRtKj5Dttvc636pWCbYOLagOZRCx7hhHpp3Nn/Y690Wstx3OfzacbraDgvv8Wk7TQKO12pV2hN/22IZmt51omQsesj/6vGgz448Lu+14TrKGFTbb1x/8aLb1WfO/eX6BMdj3fc22vm8393a7bQi7XetG7lhFi/9xB30o4JhnMdI6tM+09PPy/5uTc1rf/GRL37HBHQvJzGzIEEut09CWVWxjjVhrNSqn21VX+m3uXDNLW+IOlDpnttmsWZaS4n7vuvKkNXZ2o7l2+gl77O23s/oGzp1Ty8hw+25bvtzdYO1a99/crbHXrzf75mu3j8FcZs82e/11t1u+7O7o9seePaEDMleq5DbKyV6+9Pz5SvBGY4pugvdnM1/JGZJ19Wq3RelffwX7oPz5Z3f07tdey3+fgUe9lueNn9H+MDuc/8J+NpyVIx9www2F+xr69Ak9V8WK7qPCb10309YTHPlmFm3tAn61GiRaZybYTI51P7RoYA1Yb5XZZY8+6j4+nt9r+OR99w9QDRLtVEaHtDBLIN0+pI8NJ3TY9exHd+PiCvc1ixSl7AGkck9PPpFmjz+80Q5plGatmB+xQrCIllabLXYCkwP9Y6eTYBPpZDVItEaszbPbFXxry2hmv1e+yia8NskuZXAgKVylit9GjXRbItzPa7acpnYH79rYsW7cv/+eN4xqJFm5sn6LI9Mas8rKs9fAbb2btwW+2eAvU+yV+zYb+PMkoyuSbB2ZYqfxj6V2D1aQM4i3zkwwcFtGPMcT9kSd/tYjbrj9y/H2NncG+uA+lpk2mRNsAcEOaT/hBhvElTaV4Mhcd/GWtWRR4HPKcFuBppG3kv8qD7jnbpBuNxJmBDTcfpQbss4asi5i31g5n8BowPqQRGPuaRrt7SY+tgrssXgyCjxuDRKtIevyfR2BiiQN7FRGB4o6MdE2Ui/s9u9xe2DxOQruG8Jt6eu3fjxo26hZ4LbLaGbtmWZ12VRgVwmbqGvNWWpg9sfRD+RZ9wTPBX5IzDn15BfbSi3bSRXbfu1tZqmptm7RLsvdmjp3n2qRpoL6ri8CaCr5U9QTvEmfRe98Xlm/3uy/+e78wFz9DuWYfqGnXcOXVj4h3W691eymXPmNK64oHu1OEhPNfhi02gZ/n2mb1640W/22WcUwv5DiPnkwijAV7hxTXTZZXJzPjqi52n6q2MsyibMpFbrYUY122gknuN0NiZQG/p9+Nl+OVge+9m1s66jh9ucPc2xjnfBPBRnYf7dca+nT7jPfjceH3eYsRlo5Uuxd7gi7zfv0DdRnwtW3dlLFruULA7NjmG0phG/psLjMUVaRZAOzxockWVrHZgW+jq/pZTfxcdgB6k5mnIH75Fekz5ZpVU6yOjV22UO8UuB26STYRfxk4HZNV9ATjtats1nqPLO/RoSUZ5avaCt7PWrzOvexBYd2s5fvX2Cr/ltjlrHJbO9qs3v7moHtqBis665LaGxb3h7kNu1etszMt9vS082euGunnVB2pjVwNtqo+ldbWv2Gbl94t99udnrn4IjHL71kVq+27X74eTurU7JVYWdIqD16uJ/bZhaaQM3MdJtpT5zgPtq4fn2Bf2QyM4vH36DClJ5uNmiQ27p+1arQ7uuOabVRCd5oTFFP8GZsjt75ilB6uttKLfuGLVfObMuW0M+pzZvN/bUmbbPZlFFmd16d7wfaCzxW4Ofo0qVuX4vdumUdsxC99VbouYYNC66rWyfdTmGsJVHNMomzJ3jOarMlfKBga2lk5/F7oKg2W8J2+5D9uK+Dz84jNLt0JqNCNheJFRdckPd2//ff0G3+qNO7wPfRa9wfSKaG22YPFaw+GwJFZUnNd7s1HBJ4xKw5S+09bg9Zv5gj7DK+DxRVYWeBsfXlfQN3oJgXeMye4wk7j99tGu1DWlZ+wG3Bz0cnxe6p/UnYYw6ju8WTEZK4zT2dxUg7i5ERv9TuppI5+KwDUyMmYn/mQqvKjkBRL74Ou+0TPGdgFk9GxEfHbuODwOIVfBuxFe3X9DIwe4WHCtzuRR61zkzIMyBm7mkv5a08e61ChQyrSLLNJfwjcffxumUnRR+9bbvNp5UZ2DhOtg5MtY5MsaNYkDWgWd5DHM08e44n7BJ+sGokmYPPevKL3cG7gS8e4LYOvp337FIGW09+sfP5zToyJeSJlWeeyDB7vZ+93+rdPI9FFjTl7OIuXD/IP/2Us6V3/tO53aI+MgmaSv4U9QTv9nejd74i5vO5Yzq88orZt9+a7U5MMzs7R6uH7/uabXvbrFve1nCvcX+B7/fjj9+/bimjypfqPp5yb97B2How1MBvt188JvyLy5rG//GbZezN+lxLS3O/UBTqiG0iMWTXrmACL5svM+8vPzmnbl3NNo42mzC8wFadSRdfZG/fOqPA9+PNfGSVKqVbj5bT7Y+4/FsCG9gg56pAIvhu/q/AY/blfStfPtPm/PKb2Wl5u1YwsDt418Csef1tYeuvP3GRvd6ynz1413Jb0Nzt3mFduSZmYLuobL8c0tfG3PSl+Q4/3KxFM7PJ35tdcqoZ2Pqbn7TR32+2JV1vsbUtTrE5x/a2f7s/aePu+dFGfbLannwizZo3z7QK7LFbGGDvVnnYRt/9k9t/2gtPuQNm/DQ4q1lqltGjzQZ/5/bruC+jJ+/YYeb32/p1fps/Yp1lpIfPmqamhnYrF4nP54Z4111m991nNnJkyUvKFqWtOcaWq1QxzfxpSvCWrIrnrp/N0pZH73yFbPx4t4Xqyy+7Tdhzfz4+ltUvtdsvi9/mzDEbPTx8S70/ONcu5sf9+vJa2JKTQ881LsfYHDWzGmhVYWeOL+F+e6tmwSMRZT/2VZ8NBW73Mg8bmF3HZ4GyT7k+JGmVPYnEis8+C71327fP+3TMpIl+a8B6K89eq872PI9qvcb9lkC6lSOlwPfQLNpaRZKtGcvsZy4Mu10cmXYxP4ZNeM7mGDuG2YGi3I+B5ZzGc5KVJdWOY0aBLUnn0CaweNQh62x+1fCPWxluS9aC1l/Pp+6xWJCntX/2lEG8/cAlgcfuPqRPgcdcwyEh/Ypnd6cRbsoeKOFo5gXKkqmYZzCEYXS38SOX2JY5E22jk7fLhQUcZc83/cTs7v/Z7qdeCbR2bsV8u4Qf7GFethTK2Toa2lvcZQb2F2dYdbZbK+ZbIjVsF5WtO8PsTEZlteb2WwLp1pylVpFke/hh915bsMBs9iy/Pd/7P6vFVruJj60bw+14/g08Uli/vtmGDW4ipQxpBXYTFOGptX2exo7N+17JflQ4Odls6FCz7dvN7gjfGMbA7MYb874HhwzJu122V18NLT/iCLeP65uvmWn+7Z8WwSdCgdBU8qeoJ3i3vRy98xWRxYvdpG7L5hnWgiXWjGXWiYn2e3zPkDdw2ri73IHTfgr90fR8fjNwG0fk97RJjx6hA4wWaykpZlddbimHNrH+Fw63W/vssmE/TTL/jm/NLupkBpZZITgC8fdVb7ZRN3xtmWs3eB25SGzw+92Wnps2ufNJSe5j7mty/eg7dKjZOWeYnXe2ZTzxlG1+8DXb+/aH7jgIWUnIxBf7B96LqWUr2y8PTbK1p1xlBpZ8dld3s4zNtnfmIpv16HehH0xHtzI7/RTb9PgLdvWVe61VK7/1vjBvw6oxdLFjmG2NWGvlyrl1HvP7A5N/5Sr76pH51rXhfDuh0jy78EKz2RNGmN/vbtvmaJ8dyUK7li+sFQtsY+Xmltr4cLMVi3NfmYJt3+6OMryPl3jVKvc3piiMOyfFiN9vVjVHTx6b8unLt4iFrZ95XkEsqinqCd6UqI+cV2hOyPEd/rx8fni7o3twdMJRnGmjBw+1ypXS8jyukUK5kEdoC5puuqnoX9f777tf2jt2DP2R7N1388bTtKnPkran2+xnf7Gd5B01sjVzrQ1z7Hj+tVm0LfDF3cObgcXOTLBOTAws5xzs6dOof+cWOXB795pddJH7pXLIkNAfpHP67Td3oBRwk2odmGr12Jj1q73borIe+YxYmGN6mqcN/AUOGmBgXRhTYNJ2O9XtJj42B59dwbf2Pn3z3e5XLrCWLAoUFfRoVgbx1phVBmZfNLo/7HbLaWqvc589zMthH+V/lBetLpsMzNoyK6Q7hj1UsDe4N9Bv+DhOtrKkGriP52e3MF2FO6L6NNrbDI6zO3g3JJFZlR32HZfbR9xsLzZ419adfLH5+txi9tSj7rNGO3ZY48bBsBqyztoyy048PtjStAaJgUH0FmfVkxdOSrJ7T5kaiKUd0w3MrrvOXR+u72MHn51wgjso27HHBvsc37HDbOvqPdao2u4C/3a8+mro/RaugcphhwV/gFi0KPzx2rUzu+oq977N7wfORx911//+u9tAbMcOd9vs9Z984j6uVbas2496tvgcvznkfIIk5/tpUD7jpZ1yinuucK0wFi50u/cBsw8+CJbnHKgTcgwyuP09syQleDXFeD07Y6ub8PRHbaDAQuPzmX3Xb5Udf5T7KGwHpobtkzx7Oi1utJ3Qfq09/OBu+/rJKdai2sbA6tNPDz7+OmKE2f33mz3wQAlpfRXm/zfmX5dISbB3rzsy8L6M3uj3u48AF/TmXbbM7KG7zT54z3b+MdaefzzFzj3X7Lbb3HrbPvEFK0s+n9n06WZ//un2JhBIDosUkaOPDv7pnjU16j8+hq2feV5BLKop6gnePROjd75C8ttvod0xZE8JpFt59lodNlt7ptluKoVs4D7S6reHeTlQNoPj7GjmFfjFHMwaN3ZHlA/071LEkpLy/qKWmhps+XD33Wbz57sNCbJNnGh2JYNsD+6IaRnE2wQ6W1022S8vf2NJ1RqFvKi9lLexnGKf09vu5zX79L55+Q7CdM89biwffeQmn/U0mZRkH+boPvDBB/O+H1qyyG7gEzuKBdb3rP/smZ4zbe7j39kdpy+wo7J6NDiMlTa16aW2OaG+zeNo+4Qb7DfOt//jbutSaXrgODkPPI+j7WaC2a6VHGYnN11rVdhpd/FWvknj0Zxqp/N3oOhW+ufZ5i3usmv5IpDcBbNj2vht08RlVout1pvPrSNT7BYG2GGsDNm9GklWi632CC/Z/bxmn3CDGe6jY/l/VvotOxl+//1mSeuSLWcfrLn7GB83LnT53DBjI4wcmf//1a+/5t32xx/zll1/feh+OR9Pyp6y+z42Mzskn7Es2rd3PwfD1bs3bzbrEMxzW5s2ofvnHjjo9dfzf63Nmwe3yT0wX87p9ddDj5c7UZofv9/syy/dezz7czwtLXSbsWPNmjRxuzYp6Cm8kSNDz7cvg6HNnu1+x8p53HnBxtfWsGGOdUmfKcGrqUgmTxK8mUnRO+fBWLPG7OcfbNbQ9Tah+jlmEBiT4hmesrAfSGADuMVy97mdPdWv7w74KSIiIt4644zg3+dhf0S9u9aw9TPPK4hFNUU9wZs8InrniyAx0U0gzprl/op1001mM2aEbrNyZfYN6beWLMrqfsHsaZ62TOLCVjwziA8sNmC9XcrgwL77Mg0Y4MUV2X9+v9mksaGD2JQr53f7Hk5JsYu678l3kJvvvgseI3dSQ6S0Wb8+mADbudNNgg0b5n42Vcr63Si7xWdugwaZPfSQ+2U29yCHX37pludMiHZnmN3Exzn6nvXbjedttqG/ZdiKFaH7N2NZ4Mt2fv2XVqrgs6d4xr7nMnuN+7P6zs77hTs74Tlx4r59/uWcarHVwG/nnOM+VgtmCQluwvGNN9yk+PvvBxOhOfcdONB9zLdhQ7e/cbNg0rdcOcvzerOnghpdbNrkJhdPOsl9Wu+XX0L3DZeknDQpuE3uQTinTDE7+2y3het//7ktuzdt2rf75p57gk85/C+ru8YaNfJ2M7dnj9mRR7oDaR55ZDCWjz4K3S7na+nkPv1r9erlPV7uZHk0zJvnJoOPPnrfrk84kye742csXJijcOdgJXg1FcnkSYI3+oOY7JfM3Xvtv0sftvw+gNswxyqWT7VLesyz7Q0a51k/pdXVdnbXjHwbXoD7KOjUqV6/QhERETEz69Ur+Df684Hbon36sPUzzyuIRTVFPcG76yczc78sdu5sdtRRZkuWRC+EnK65xv2fjcuRp23UyE20PPyQ3+45ear17rLSTmJ8YIO9lLceDC1wVHAjexCEAjcpcBozxptrcqC+/daNOz4+9HGR1FQ3GZLztf39d2iLtIsvDq4bUXzy/yLFwpQp7gCvuRNs+bnyytD32u7dbnnPngV/3mTz+93HWnOvz+6rMGfZ0Ue7ycwBA/I/Zv/+biK2QgX3NWQfP/tzN3u69FK3FWffvqGP8ICbQP3f/9wf4LKlpAS7K8hPzpasgcfvc0hKcrufmTQp72sCtzVt7j6TC7Jjh1mVrN5q+vTZ9/2KQkqK2c8/u13H5cfncxO9SUnuo30PPJD3CYkrrnBfS/367o8Na9a4++Tm97tdLdSqZfb994X+UgpUJE8S7v5TCV5NRTJ5kuAtTt2h/fOP2dVXmY0dayl7/fbzAyNsVULzvB++WdPkY6+w3VM/d78z/PGc2RNPmK1ZbTbsZ7PRf4UcOjExOPjNGWe4fXbn97kvIiIi3rj33uCf+X4vbY/26cPWzxwzoyTq0KGDTZ8+PTon2/0L+HZC9ev56CO49Va3uFkzWL48OiHk5Dj5l7fgP37gMtoyN8+6a/iKX7mQcqRxN2/zFM+HrO/JrwyjBxmUDXve11+He+6BpCRo2RK2bw9d37ixez0SEvb3FXnHDGbPhho1oEmTvOvffhvGjIGnn4Zjjw1dt3IlvPYadO4M11xT9LGKlFS33w79+weX/X73c27tWvd96ffnv1/OP2/bt7vHGDgQqlaFAQOgUyd3Xb9+8Mgj7vygQXDVVZCRAT/84H6e3Xuvu1ynjnvOtDR3uVat0PNlZMDYsTBhAtxyCzRs6JavWAEnnghbt8Idd8B77+3/NRg3zo3z4ovhppsibz9iBLz4ovu5VKMGXHRR3s+oSJYuhenT4fzzoXLl/Y+5OElOhj/+gBNOcP82R2IW/m9pTNk7DtKXQ/UbonnWknDlJIKo1rMzt0HSe1DpDKjYJTrnDDl/JkycCGXKwHHHufNdu+KPi2do/au4IulTWqbMZxg9qM/m/I/x6/fQ8/Loxi0iIiJFIuf3x/vu2cUb/1c1mqcPW9dWgvcgbdkCj9y/mtef+ZOazfvSqxd8+21wfWYmxMcf2LHNYPJkOOII98tpcrKbyLj5ZjjySPjss7zH/vNPOP9cH4/xEmXI4HmexHB4hFd4gSfzPc9vXMDfnMm73AVApQqZnFp9LrWq+6m5aAK/0ZNVNI0Yb2Ii1Kzpzn/zTTCp2auXm2Do0wfatj2wayEipdfDD8OrrwaXc/7ZSkmBjh1hwYK8++3rn7f0dHjzTahQAe68E+LiQtfPng2jR0OPHu5n74FITXWTxQ0aHNj+IgckdQakzlWCVwqdJwne8sdAlYsL9dC7d8PwYUaVKX/RqkttGu9eAE89DpWrkvHLzySPn0ONGy7Ld9/RnMYwevA117CQVlRnZ2BdUutTqHxqG8r0vBC6di3UmEVERMRbn38ON2RVr6++ag9fD6oUzdOHrWvHUFvK4mf0aDd5uWnTYexIOo2f//DRsGFoxvWpp9yk5223QaUC/s9ztxby+eDyy+Hnn/Pffto0aN0aBg+GtTM2890zS2h1blN696zK7/TiXP4EwE8cL/Mov3MB7ZjJxfyS51hHxC3jZv9AAD5437jp5gTKlm0HwKJFHZh0HbSpD926ucmPcKpXD85ffjls3uwmpO++2230ICJyIHr2DCZ4c7ekr1AB5s2DPXvcH9QaN3a/sD/99L4fv2zZ4C+w+Tn22P1v/Zpb+fJK7ooHnKhWNkWKVmbe1rGTJ8MbryUzYVJlavq2clXzqVzWYSUtu9TDwdzHqbp3h2OPDTS6cDD49FO4+WaqAIH07ZvB4+5OqMaQlk9zle/bPOfMdjpj+Iwb2EhDnqrXn95HTqfV872o2P4oalSsWKgvXURERIqP+vWD85u3xIXfMMrUgvcg/PYbXHhhcHnJgu28+mZNPvkk8r6ffhrM+L/3XjBxetllbmu0Jk3cJClAPTZxAlOYQXte4AnOYwhvcD+fcQN38Q6P8XK+5/Dj0I6ZbKM2n3AT3RkZWDeOU5jCCbzOA4yaU49jjnGTIwV1n7BlCxx2mNsSLbeuXWHkyLzlIiKF4ZFH3B+0XnzR7UIhnPXrYfFiOO20A396QqTEyFgHe0apBa8UOk9a8K7bxYYv6lD58/cpk7aH4dUuo//mSxlFN2qSyBJaUpvEsIc5g7+ZV7sLZ5yYRJ9Z/+Os9YPDbtuf2xjO2dzHm5zKuDDb9CXxmXfpfUM8jRsf9KsUERGRGDFrFrRz20TSpnU6c+eF78q0CKiLhqI7D8yY4c4P+30VH3/eJEyrW+N4pnI4y6jDVmbSjr+fn0RCo/pUufFS9hDaweGRLGIRrcKedyjn0JANHMfssNus5RCasYJaJPIYL5EUX5unV9/EhrRaNGpeHoCjjoK5c/e9X9x//nH7gqxa1W2Z3KMHTJ0KZ54JaqwgIiJSjPiSYPevSvBKoYtagnfJEnjqERj8a9hN3uReXuUh2jKHEZwddrs5HMMLPMGPXAo43McbvMEDebZbyuGcylg20pAjE/7jo8ybqMNWBtGLKuxmDm35nisZ+HkC111XCK9RREREYsqGDdCokTtfp46PLVui2rJIXTQUlZYt3QRvRfbA2NE8/s/XDGICYziNbdTmPt5kC/W4mm/4mmtDd87qEjcZ94tXPJn4cW+MDAru0+Bt7mYrdbiC73mEfvlucz2fk0kZNlOfu3mHUzrD042gIe4jzOPHuwP/7M+gZ2ec4U45nX/+vu8vIiIiURKnLhokxv3wQ4HJXYA7Ej6k+yctoFlzFl9+CkduHJ/vdm2ZyyX8xI9cRmNWcyk/hqzPbNSY+Udeyt8dH+XNtrU5+WSoV+8IPvpoPE88ATt2uNvFx8OHH6LkroiISCmVc7DtpKS4YjNAsxK8ByMzk7N2/c43XOIuvxFcld0dwimM5xUeoT99OYa5PMRrYQ83jY7czdtM4BTu5f/Cbvcl1zKKriSQSSsWMoN2bKAhsziOCqTwBdexgNZ59rvgguB85cpu61sREREpoZyy4KiqJzHs7LPhybyDBPudOPZUqU3ZFg0o994Ajj7xRHfFylNZ9cc8hr08m1Wzd/Cp/zpuO2QoF7RZwdE3daJN87P4YDKkph5G+dMmQ1s//PEH1K9PwgkncCxwbK5z3XGH223at9/C3r1u92wHOuCmiIiIxL5y5dwn2PfuhcxMh+RkqFLF66jURcPB8ftJq1SDcqm7CtzsK66hN19F7HYhhfKcylimcTxP8hz38WbIiLzfciU/czE/kv9ovjndcQe8/747f9FF0Lkz3H67ulEQEREpVXb9BFUvieYZi0H7BSlqUe2Dd/BnTPl8DHcMu5MujMN3bk/eHtI84m7p6e5UuXLETUVERET2yyGHuOO/AKxeTTT741cXDUUiLo6kE86m/ti8gzTM4lgqsYefuZi2vz7H07Ng8+ajmHbeZu46bzknMZGJnMQqmvA/3mM1hzGMHqzjUACe5yme5ykOYS2LPppAvVsuYC/BRy3HjXO7VujcOf/QuneH226DtDS38+fi0FxcREREoixOv+xKjLv4fL4acTQz6MAMOvDyyfu2W9my7iQiIiJS2GrUCCZ4k5KimuANSwneg1T1y/d5uFkHZvuOIR4fVdjND1yGERfYJvks6NHTnd+zpy7/Upd/6RRY/wQvhj3+Og6lcp+ruGoKfPKJWzZhApx0kju/a5c74FluNWtC67y9NIiIiEhpogSvlADzF9cNzLdp42EgIiIiIrgJ3mxJSd7FkVNc5E2kIBUb1+a2Wccwku4M4xwGc0VIcrdbN6iUY4yTSpXg8MPd+fh4dzkhAb74Aszc6eOPg9t/+qn770svwWOPweDBweQuuP18vPBC3rjyS/qKiIhIKeMowSuxL2eCVw0YRERExGs1awbnt2/3Lo6c1IK3EDRtspdN81/j7GvuY+fOeIYOhTp1YMwYOOusvNt//73bGveqq9wuFnbsCL05brjB7VrB54NrrnHL6taFF8M09L37brePseeec5cbNICWLQvzFYqIiEhMcsp7HYHIQUlOhsTt7g8VZcsWj0cgRUREpHQrji14leAtJPXqpTJrZhxGsL/bSy/Nf9t27dwpW87kLrgte++4Y9/PXbkyPPss3H8/DB/utvBVn2MiIiJCnBK8Ets2bAg+GdewocaVEBEREe8pwVuSxVUFx/F06OiqVeHyyz0MQERERIoXteCVGLdhY3xgvlEjDwMRERERyVIcE7zqg7ewxFXzOgIRERGRUErwSoxbvz60Ba+IiIiI13ImeItLH7xK8BaWuCpeRyAiIiISSgleiXEbNga/rqgFr4iIiBQHObtaVQvekiZeCV4REREpZtQHr8S43H3wioiIiHhNXTSUZGrBKyIiIsWNU8brCEQOysZNwa8rDRp4GIiIiIhIluKY4NUga4XFqex1BCIiIiIiJcq2bcEhjOvU8TAQERERkSytW8OUKW6it1Ytr6NxKcFbWOIqeh2BiIiIiEiJkpgYbMFbXL5AiYiISOlWuTIcf7zXUYRSFw2FxangdQQiIiIiIiVK4vZgC14leEVERETypwRvYVELXhERERGRQqUWvCIiIiKRKcFbWJTgFREREREpNKmpsHev24I3IQGqaExjERERkXwpwVsYnDLglPU6ChERERGREiMxMThfqxY4TvhtRUREREozJXgLg/rfFREREREpVLkTvCIiIiKSPyV4C4O6ZxARERERKVRK8IqIiIjsGyV4C4OjBK+IiIiISGFSgldERERk3yjBWxjiKnkdgYiIiIhIiaIEr4iIiMi+UYK3MKgFr4iIiIhIoVKCV0RERGTfKMFbGNQHr4iIiIhIoVKCV0RERGTfKMFbGNRFg4iIiIhIoVKCV0RERGTfKMFbGJwyXkcgIiIiIlKiKMErIiIism8SvA5AREREREQkt2uvhWOPdRO9LVt6HY2IiIhI8aUEr4iIiIiIFDuXX+5OIiIiIlIwddEgIiIiIiIiIiIiEqOU4BURERERERERERGJUUrwioiIiIiIiIiIiMQoJXhFREREREREREREYpQSvCIiIiIiIiIiIiIxSgleERERERERERERkRilBK+IiIiIiIiIiIhIjFKCV0RERERERERERCRGKcErIiIiIiIiIiIiEqOU4BURERERERERERGJUUrwioiIiIiIiIiIiMQoJXhFREREREREREREYpQSvCIiIiIiIiIiIiIxSgleERERERERERERkRilBK+IiIiIiIiIiIhIjFKCV0RERERERERERCRGKcErIiIiIiIiIiIiEqMcM/M6hiLhOM5WYPUB7Fob2FbI4ZQ0ukb7RtcpMl2jyHSNItM1ikzXKDJdo8j25RptM7OzoxGMeOcg6tmg99q+0DWKTNcoMl2jyHSNItM1ikzXKDJdo8j29RqFrWuX2ATvgXIcZ7qZdfA6juJM12jf6DpFpmsUma5RZLpGkekaRaZrFJmukRQG3UeR6RpFpmsUma5RZLpGkekaRaZrFJmuUWSFcY3URYOIiIiIiIiIiIhIjFKCV0RERERERERERCRGKcGb10deBxADdI32ja5TZLpGkekaRaZrFJmuUWS6RpHpGklh0H0Uma5RZLpGkekaRaZrFJmuUWS6RpHpGkV20NdIffCKiIiIiIiIiIiIxCi14BURERERERERERGJUaUywes4zirHceY5jjPbcZzpWWWXOY6zwHEcv+M4HXJs28RxnJSsbWc7jjPAu8ijJ8w1es1xnMWO48x1HOcXx3Gq59j+UcdxljmOs8RxnO6eBR5F+3ONdB+FXKPns67PbMdxRjqO0zDH9rqPCH+NdB8Fr1GOdQ84jmOO49TOUab7KHRdyDXSfRTyXnvGcZz1Oa7FOTm2131E+GtUWu8jiUz17MhUz45M9ezIVM+OTPXsyFTPjkz17MhUz44sKvVsMyt1E7AKqJ2r7CigJTAG6JCjvAkw3+uYi8k16gYkZM33A/plzbcC5gDlgKbAciDe69dQzK6R7qNgWdUc83cBA3Qf7fM10n0UWn4oMAJYnb1e99E+XSPdR8GyZ4AH8tlW91Hka1Qq7yNNkacw95Hq2ZGvkerZB36NdB8Fy1TPPvBrpPsotFz17AO7RrqPgmXh6pC6jyJfowO6j0plC978mNkiM1vidRzFmZmNNLPMrMV/gUOy5nsC35lZmpmtBJYBx3sRo9cKuEaSxcx25VisBGR3BK77KEsB10hC/R/wEKHXR/dRqPyukUSm+0ikEKmeHZnq2ZGpnh2Z6tmRqZ69z1TPjkz17AOj+6iIlNYErwEjHceZ4TjOLfuwfVPHcWY5jjPWcZxTijq4YiLSNboRGJY13whYm2Pduqyykm5/rhHoPgpcI8dxXnQcZy1wNfBUVrHuo8jXCHQf3QLgOM4FwHozm5NrW91Hka8R6D7K+Zn9v6xHNT91HKdGVpnuo8jXCErnfSSRqZ4dmerZkameHZnq2ZGpnh2Z6tmRqZ4dmerZkRV5PTuhUMONHSeZ2QbHceoCoxzHWWxm48JsuxFobGaJjuO0B351HOfoXL/8lURhr5HjOI8DmcA3Wds6+exfGn7F2p9rpPsoxzUys8eBxx3HeRT4H/A0uo/25RrpPsq6RsDjuI9q5qb7KPI10n0UvEb9gedx75HngTdwkwa6jyJfo9J6H0lkqmdHpnp2ZKpnR6Z6dmSqZ0emenZkqmdHpnp2ZEVezy6VLXjNbEPWv1uAXyigOXhWs/HErPkZuP2DHBGNOL0U7ho5jnMdcB5wtWV1DoL7i8uhOXY/BNgQvWi9sT/XSPdR2PfaIOCSrHndRxGuke6jwDU6Fbe/pjmO46zCvVdmOo5TH91HEa+R7qPge83MNpuZz8z8wMcE33+6jyJco9J6H0lkqmdHpnp2ZKpnR6Z6dmSqZ0emenZkqmdHpnp2ZNGoZ5e6BK/jOJUcx6mSPY/7q8v8Arav4zhOfNZ8M6AFsCIasXol3DVyHOds4GHgAjPbm2OX34ErHccp5zhOU9xrNDXacUfT/l4j3Uch16hFjs0uABZnzes+inCNdB8FrtE0M6trZk3MrAluJaGdmW1C91HEa6T7KOS91iDHZhcRrA/oPopwjUrjfSSRqZ4dmerZkameHZnq2ZGpnh2Z6tmRqZ4dmerZkUWrnl0au2ioB/ziOA64r3+QmQ13HOci4F2gDjDUcZzZZtYd6AI85zhOJuADbjOz7R7FHi3hrtEy3JEOR2Wt+9fMbjOzBY7jDAYW4j4udYeZ+TyKPVr26xqh+yjnNfrJcZyWgB93xNHbAHQfRb5G6D4KXKNwG+s+inyN0H2U8732leM4x+I+FrUKuBV0H7EP14jSeR9JZKpnR6Z6dmSqZ0emenZkqmdHpnp2ZKpnR6Z6dmRRqWc7wad/RERERERERERERCSWlLouGkRERERERERERERKCiV4RURERERERERERGKUErwiIiIiIiIiIiIiMUoJXhEREREREREREZEYpQSviIiIiIiIiIiISIxSgldESiTHcXyO48x2HGe+4zg/OI5T0XGcJo7jzN/P41zvOE7DooqzOMh6jVsdxxkYYbuVjuO0zFX2luM4DzmOc4rjOAv39/qKiIiISGxRPXvfqZ4tItGiBK+IlFQpZnasmbUG0oHbDvA41wPFuuLpOE5CIRzmezO7OcI23wFX5jhvHHBp1r7jgXMKIQ4RERERKd5Uz94/qmeLSJFTgldESoPxwOFZ8/GO43zsOM4Cx3FGOo5TAcBxnGMdx/nXcZy5juP84jhODcdxLgU6AN9ktVKo4DjOmY7jzHIcZ57jOJ86jlMua/9VjuM86zjOzKx1R+YOwnGceMdxXnMcZ1rWeW7NKj/NcZwxjuP86DjOYsdxvnEcx8la195xnLGO48xwHGeE4zgNssrHOI7zkuM4Y4G7HcfpmHXMyVnnmJ+13XjHcY7NEcNEx3GOKehihYsT+JYcFU+gC7DKzFbv33+HiIiIiJQQqmcHY1A9W0Q8owSviJRoWb+69wDmZRW1AN43s6OBHcAlWeVfAg+b2TFZ2z5tZj8C04GrzexYwIDPgSvMrA2QAPTNcbptZtYO6A88kE84NwE7zawj0BHo4zhO06x1xwH3AK2AZsBJjuOUAd4FLjWz9sCnwIs5jlfdzE41szeAz4DbzKwT4MuxzUDc1hE4jnMEUM7M5ka4bPnGmbWf33GctlnbXYlbGRURERGRUkb1bNWzRaT4UIJXREqqCo7jzMatOK4BPskqX2lms7PmZwBNHMephluJG5tV/gXur+a5tcza/78w2/2c87j57N8N6J0V1xSgFm5FGGCqma0zMz8wO2v/lkBrYFTWPk8Ah+Q43vcAjuNUB6qY2aSs8kE5tvkBOC+rEnsjbsU5koLi/Ba4MqtC3zPr+CIiIiJSeqie7VI9W0SKjcLoT0ZEpDhKyWoNEJD1NFZajiIfUGE/julEWJ99bB/5f746wJ1mNiJXXKflE1dC1vYLsloL5GdPpLjMbK/jOKNwK4mX4z4KF0m+cWb5FhgJjAXmmtmWfTieiIiIiJQcqmejeraIFC9qwSsipZ6Z7QSSHMc5JavoWtyKFcBuoErW/GLclgiH57PdvhgB9M36lR/HcY5wHKdSAdsvAeo4jtMpa/syjuMcnU/8ScBux3FOzCq6MtcmA4F3gGlmtv1g4jSz5UAi8Ap6bExERERECqB69r7HqXq2iBwMteAVEXFdBwxwHKcisAK4Iav886zyFKBTVvkPWY9OTQMG7Mc5BuI+EjYza3CHrcCF4TY2s/SsASjeyXq8LQF4C1iQz+Y3AR87jrMHGAPszHGcGY7j7MLtP6ww4vwWeBn4ZR+PJyIiIiKll+rZ+x6n6tkickAcM/M6BhEROUiO41Q2s+Ss+UeABmZ2d9ZyQ9zK6JFZfY/l3vd6oIOZ/e8gY2gCDDGz1gdzHBERERGR4kL1bBGJBeqiQUSkZDjXcZzZjuPMB04BXgBwHKc37gAOj+dX6cySAvRwHGfggZ4867G7P4BtB3oMEREREZFiSPVsESn21IJXREREREREREREJEapBa+IiIiIiIiIiIhIjFKCV0RERERERERERCRGKcErIiIiIiIiIiIiEqOU4BURERERERERERGJUUrwioiIiIiIiIiIiMQoJXhFREREREREREREYtT/A0jjffX+SccrAAAAAElFTkSuQmCC\n",
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>mean_u110</th>\n",
+ " <th>mean_u108</th>\n",
+ " <th>mean_u114</th>\n",
+ " <th>mean_u115</th>\n",
+ " <th>mean_u113</th>\n",
+ " <th>mean_u205</th>\n",
+ " <th>mean_u203</th>\n",
+ " <th>mean_u213</th>\n",
+ " <th>mean_u112</th>\n",
+ " <th>mean_u3</th>\n",
+ " <th>...</th>\n",
+ " <th>std_u206</th>\n",
+ " <th>std_u204</th>\n",
+ " <th>std_u201</th>\n",
+ " <th>std_u208</th>\n",
+ " <th>std_u209</th>\n",
+ " <th>std_u215</th>\n",
+ " <th>std_u104</th>\n",
+ " <th>pressure_mean</th>\n",
+ " <th>pressure_std</th>\n",
+ " <th>gas_active</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>2249.998207</td>\n",
+ " <td>-78.010137</td>\n",
+ " <td>-0.10791</td>\n",
+ " <td>-120.001891</td>\n",
+ " <td>2249.992845</td>\n",
+ " <td>0.0</td>\n",
+ " <td>...</td>\n",
+ " <td>0.001</td>\n",
+ " <td>0.001089</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000763</td>\n",
+ " <td>0.000995</td>\n",
+ " <td>0.000626</td>\n",
+ " <td>0.002382</td>\n",
+ " <td>0.000001</td>\n",
+ " <td>4.456064e-08</td>\n",
+ " <td>NITROGEN</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>1 rows × 65 columns</p>\n",
+ "</div>"
+ ],
"text/plain": [
- "<Figure size 1728x576 with 2 Axes>"
+ " mean_u110 mean_u108 mean_u114 mean_u115 mean_u113 mean_u205 \\\n",
+ "0 0.0 0.0 0.0 0.0 2249.998207 -78.010137 \n",
+ "\n",
+ " mean_u203 mean_u213 mean_u112 mean_u3 ... std_u206 std_u204 \\\n",
+ "0 -0.10791 -120.001891 2249.992845 0.0 ... 0.001 0.001089 \n",
+ "\n",
+ " std_u201 std_u208 std_u209 std_u215 std_u104 pressure_mean \\\n",
+ "0 0.0 0.000763 0.000995 0.000626 0.002382 0.000001 \n",
+ "\n",
+ " pressure_std gas_active \n",
+ "0 4.456064e-08 NITROGEN \n",
+ "\n",
+ "[1 rows x 65 columns]"
]
},
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
- "plot(vs_test, 0)"
+ "training_config.to_pandas()"
]
},
{
"cell_type": "code",
- "execution_count": 24,
- "id": "8c61b6fe-111f-4c2f-91b6-2fb83c56c9d7",
+ "execution_count": 17,
+ "id": "84ece2bd-c11a-42a5-9cd9-9f253c850562",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
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+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>mean_u110</th>\n",
+ " <th>mean_u108</th>\n",
+ " <th>mean_u114</th>\n",
+ " <th>mean_u115</th>\n",
+ " <th>mean_u113</th>\n",
+ " <th>mean_u205</th>\n",
+ " <th>mean_u203</th>\n",
+ " <th>mean_u213</th>\n",
+ " <th>mean_u112</th>\n",
+ " <th>mean_u3</th>\n",
+ " <th>mean_u105</th>\n",
+ " <th>mean_u212</th>\n",
+ " <th>mean_u103</th>\n",
+ " <th>mean_u207</th>\n",
+ " <th>mean_u210</th>\n",
+ " <th>mean_u102</th>\n",
+ " <th>mean_u106</th>\n",
+ " <th>mean_u107</th>\n",
+ " <th>mean_u109</th>\n",
+ " <th>mean_u111</th>\n",
+ " <th>mean_u200</th>\n",
+ " <th>mean_u214</th>\n",
+ " <th>mean_u211</th>\n",
+ " <th>mean_u202</th>\n",
+ " <th>mean_u206</th>\n",
+ " <th>mean_u204</th>\n",
+ " <th>mean_u201</th>\n",
+ " <th>mean_u208</th>\n",
+ " <th>mean_u209</th>\n",
+ " <th>mean_u215</th>\n",
+ " <th>mean_u104</th>\n",
+ " <th>std_u110</th>\n",
+ " <th>std_u108</th>\n",
+ " <th>std_u114</th>\n",
+ " <th>std_u115</th>\n",
+ " <th>std_u113</th>\n",
+ " <th>std_u205</th>\n",
+ " <th>std_u203</th>\n",
+ " <th>std_u213</th>\n",
+ " <th>std_u112</th>\n",
+ " <th>std_u3</th>\n",
+ " <th>std_u105</th>\n",
+ " <th>std_u212</th>\n",
+ " <th>std_u103</th>\n",
+ " <th>std_u207</th>\n",
+ " <th>std_u210</th>\n",
+ " <th>std_u102</th>\n",
+ " <th>std_u106</th>\n",
+ " <th>std_u107</th>\n",
+ " <th>std_u109</th>\n",
+ " <th>std_u111</th>\n",
+ " <th>std_u200</th>\n",
+ " <th>std_u214</th>\n",
+ " <th>std_u211</th>\n",
+ " <th>std_u202</th>\n",
+ " <th>std_u206</th>\n",
+ " <th>std_u204</th>\n",
+ " <th>std_u201</th>\n",
+ " <th>std_u208</th>\n",
+ " <th>std_u209</th>\n",
+ " <th>std_u215</th>\n",
+ " <th>std_u104</th>\n",
+ " <th>pressure_mean</th>\n",
+ " <th>pressure_std</th>\n",
+ " <th>gas_active</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.002567</td>\n",
+ " <td>-0.003455</td>\n",
+ " <td>0.0</td>\n",
+ " <td>-0.001019</td>\n",
+ " <td>0.002316</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000926</td>\n",
+ " <td>-0.001261</td>\n",
+ " <td>0.001064</td>\n",
+ " <td>-0.003332</td>\n",
+ " <td>-0.001361</td>\n",
+ " <td>0.000324</td>\n",
+ " <td>-0.000565</td>\n",
+ " <td>-0.000565</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.002359</td>\n",
+ " <td>0.0</td>\n",
+ " <td>-0.000705</td>\n",
+ " <td>-0.000744</td>\n",
+ " <td>0.0</td>\n",
+ " <td>-0.002291</td>\n",
+ " <td>-0.003028</td>\n",
+ " <td>0.0</td>\n",
+ " <td>-0.000272</td>\n",
+ " <td>-0.000004</td>\n",
+ " <td>-0.001626</td>\n",
+ " <td>0.001178</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.001599</td>\n",
+ " <td>0.001134</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000927</td>\n",
+ " <td>0.001987</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.003332</td>\n",
+ " <td>0.000681</td>\n",
+ " <td>0.003028</td>\n",
+ " <td>0.000873</td>\n",
+ " <td>0.000777</td>\n",
+ " <td>0.002459</td>\n",
+ " <td>0.002144</td>\n",
+ " <td>0.002144</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.001425</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000929</td>\n",
+ " <td>0.000788</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.001</td>\n",
+ " <td>0.001089</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000763</td>\n",
+ " <td>0.000995</td>\n",
+ " <td>0.000626</td>\n",
+ " <td>0.002382</td>\n",
+ " <td>1.268518e-09</td>\n",
+ " <td>4.456064e-08</td>\n",
+ " <td></td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
"text/plain": [
- "<Figure size 1728x576 with 2 Axes>"
+ " mean_u110 mean_u108 mean_u114 mean_u115 mean_u113 mean_u205 \\\n",
+ "0 0.0 0.0 0.0 0.0 0.002567 -0.003455 \n",
+ "\n",
+ " mean_u203 mean_u213 mean_u112 mean_u3 mean_u105 mean_u212 mean_u103 \\\n",
+ "0 0.0 -0.001019 0.002316 0.0 0.000926 -0.001261 0.001064 \n",
+ "\n",
+ " mean_u207 mean_u210 mean_u102 mean_u106 mean_u107 mean_u109 \\\n",
+ "0 -0.003332 -0.001361 0.000324 -0.000565 -0.000565 0.0 \n",
+ "\n",
+ " mean_u111 mean_u200 mean_u214 mean_u211 mean_u202 mean_u206 \\\n",
+ "0 0.002359 0.0 -0.000705 -0.000744 0.0 -0.002291 \n",
+ "\n",
+ " mean_u204 mean_u201 mean_u208 mean_u209 mean_u215 mean_u104 std_u110 \\\n",
+ "0 -0.003028 0.0 -0.000272 -0.000004 -0.001626 0.001178 0.0 \n",
+ "\n",
+ " std_u108 std_u114 std_u115 std_u113 std_u205 std_u203 std_u213 \\\n",
+ "0 0.0 0.0 0.0 0.001599 0.001134 0.0 0.000927 \n",
+ "\n",
+ " std_u112 std_u3 std_u105 std_u212 std_u103 std_u207 std_u210 \\\n",
+ "0 0.001987 0.0 0.003332 0.000681 0.003028 0.000873 0.000777 \n",
+ "\n",
+ " std_u102 std_u106 std_u107 std_u109 std_u111 std_u200 std_u214 \\\n",
+ "0 0.002459 0.002144 0.002144 0.0 0.001425 0.0 0.000929 \n",
+ "\n",
+ " std_u211 std_u202 std_u206 std_u204 std_u201 std_u208 std_u209 \\\n",
+ "0 0.000788 0.0 0.001 0.001089 0.0 0.000763 0.000995 \n",
+ "\n",
+ " std_u215 std_u104 pressure_mean pressure_std gas_active \n",
+ "0 0.000626 0.002382 1.268518e-09 4.456064e-08 "
]
},
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
- "plot(vs_test, 1)"
+ "import pandas as pd\n",
+ "pd.set_option('display.max_columns', 500)\n",
+ "(training_config - inference_config).to_pandas()"
]
},
{
"cell_type": "code",
- "execution_count": 25,
- "id": "373ca950-0378-4d7d-96ca-57ad951ebbf3",
+ "execution_count": 18,
+ "id": "d05998c1-7b30-4eaa-adb6-c041c247797a",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
"text/plain": [
- "<Figure size 1728x576 with 2 Axes>"
+ "True"
]
},
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
- "plot(vs_test, 2)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "1f0f3f20-060a-488a-9f61-6b4cb3cf1614",
- "metadata": {},
- "source": [
- "# Inference: Apply it in new data without Viking"
+ "training_config == inference_config"
]
},
{
@@ -1347,7 +878,7 @@
"metadata": {},
"outputs": [],
"source": [
- "runTest = 321\n",
+ "\n",
"\n",
"# bunch pattern table\n",
"field_bpt = [\n",
--
GitLab