diff --git a/doc/PES_spectra_extraction.ipynb b/doc/PES_spectra_extraction.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..132d232d54a15e490161d30a896e98ba9fbb6f3c --- /dev/null +++ b/doc/PES_spectra_extraction.ipynb @@ -0,0 +1,1256 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Basic analysis of PES spectra" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The functions related to PES analysis are in the *detectors* submodule of the ToolBox. Let's import it as `tbdet`." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import toolbox_scs as tb\n", + "import toolbox_scs.detectors as tbdet" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we load the raw traces of PES (W and E channels), the pressure and the XGM pulse energy. In this run, 100 pulses per train were recorded." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n", + "<defs>\n", + "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n", + "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n", + "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", + "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", + "</symbol>\n", + "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n", + "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 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".xr-var-name:hover,\n", + ".xr-var-dims:hover,\n", + ".xr-var-dtype:hover,\n", + ".xr-attrs dt:hover {\n", + " overflow: visible;\n", + " width: auto;\n", + " z-index: 1;\n", + "}\n", + "\n", + ".xr-var-attrs,\n", + ".xr-var-data {\n", + " display: none;\n", + " background-color: var(--xr-background-color) !important;\n", + " padding-bottom: 5px !important;\n", + "}\n", + "\n", + ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", + ".xr-var-data-in:checked ~ .xr-var-data {\n", + " display: block;\n", + "}\n", + "\n", + ".xr-var-data > table {\n", + " float: right;\n", + "}\n", + "\n", + ".xr-var-name span,\n", + ".xr-var-data,\n", + ".xr-attrs {\n", + " padding-left: 25px !important;\n", + "}\n", + "\n", + ".xr-attrs,\n", + ".xr-var-attrs,\n", + ".xr-var-data {\n", + " grid-column: 1 / -1;\n", + "}\n", + "\n", + "dl.xr-attrs {\n", + " padding: 0;\n", + " margin: 0;\n", + " display: grid;\n", + " grid-template-columns: 125px auto;\n", + "}\n", + "\n", + ".xr-attrs dt, dd {\n", + " padding: 0;\n", + " margin: 0;\n", + " float: left;\n", + " padding-right: 10px;\n", + " width: auto;\n", + "}\n", + "\n", + ".xr-attrs dt {\n", + " font-weight: normal;\n", + " grid-column: 1;\n", + "}\n", + "\n", + ".xr-attrs dt:hover span {\n", + " display: inline-block;\n", + " background: var(--xr-background-color);\n", + " padding-right: 10px;\n", + "}\n", + "\n", + ".xr-attrs dd {\n", + " grid-column: 2;\n", + " white-space: pre-wrap;\n", + " word-break: break-all;\n", + "}\n", + "\n", + ".xr-icon-database,\n", + ".xr-icon-file-text2 {\n", + " display: inline-block;\n", + " vertical-align: middle;\n", + " width: 1em;\n", + " height: 1.5em !important;\n", + " stroke-width: 0;\n", + " stroke: currentColor;\n", + " fill: currentColor;\n", + "}\n", + "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", + "Dimensions: (PESsampleId: 600000, pulse_slot: 2700, sa3_pId: 100, trainId: 4044)\n", + "Coordinates:\n", + " * trainId (trainId) uint64 1044495172 1044495174 ... 1044501582\n", + " * sa3_pId (sa3_pId) int64 1032 1036 1040 1044 ... 1420 1424 1428\n", + "Dimensions without coordinates: PESsampleId, pulse_slot\n", + "Data variables:\n", + " bunchPatternTable (trainId, pulse_slot) uint32 2113321 0 2097193 ... 0 0 0\n", + " PES_W_raw (trainId, PESsampleId) int16 1 5 -1 2 3 3 ... 4 -1 4 1 4\n", + " PES_E_raw (trainId, PESsampleId) int16 -5 -8 -5 -5 ... -5 -3 -7 -3\n", + " PES_pressure (trainId) float32 6.28733e-07 ... 6.7894194e-07\n", + " XTD10_SA3 (trainId, sa3_pId) float64 2.661e+03 ... 2.11e+03\n", + "Attributes:\n", + " runFolder: /gpfs/exfel/exp/SCS/202121/p002927/raw/r0100</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3dc9406e-4e36-42ee-8318-da51896601f6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3dc9406e-4e36-42ee-8318-da51896601f6' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>PESsampleId</span>: 600000</li><li><span>pulse_slot</span>: 2700</li><li><span class='xr-has-index'>sa3_pId</span>: 100</li><li><span class='xr-has-index'>trainId</span>: 4044</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dccd1455-52bc-4d24-be40-d30716ee5cc3' class='xr-section-summary-in' type='checkbox' checked><label for='section-dccd1455-52bc-4d24-be40-d30716ee5cc3' 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'>1044495172 ... 1044501582</div><input id='attrs-f26777d1-c11e-4d2f-aed2-1c145252d687' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f26777d1-c11e-4d2f-aed2-1c145252d687' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0600120-d411-4fd2-94f9-34e148d958fa' class='xr-var-data-in' type='checkbox'><label for='data-c0600120-d411-4fd2-94f9-34e148d958fa' 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([1044495172, 1044495174, 1044495175, ..., 1044501578, 1044501580,\n", + " 1044501582], 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'>1032 1036 1040 ... 1420 1424 1428</div><input id='attrs-31a03bd6-7626-4af8-a1d8-0443ded49d25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-31a03bd6-7626-4af8-a1d8-0443ded49d25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f7b67c6-7a2e-4c4a-ad1d-71bd6ca258c6' class='xr-var-data-in' type='checkbox'><label for='data-8f7b67c6-7a2e-4c4a-ad1d-71bd6ca258c6' 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([1032, 1036, 1040, 1044, 1048, 1052, 1056, 1060, 1064, 1068, 1072, 1076,\n", + " 1080, 1084, 1088, 1092, 1096, 1100, 1104, 1108, 1112, 1116, 1120, 1124,\n", + " 1128, 1132, 1136, 1140, 1144, 1148, 1152, 1156, 1160, 1164, 1168, 1172,\n", + " 1176, 1180, 1184, 1188, 1192, 1196, 1200, 1204, 1208, 1212, 1216, 1220,\n", + " 1224, 1228, 1232, 1236, 1240, 1244, 1248, 1252, 1256, 1260, 1264, 1268,\n", + " 1272, 1276, 1280, 1284, 1288, 1292, 1296, 1300, 1304, 1308, 1312, 1316,\n", + " 1320, 1324, 1328, 1332, 1336, 1340, 1344, 1348, 1352, 1356, 1360, 1364,\n", + " 1368, 1372, 1376, 1380, 1384, 1388, 1392, 1396, 1400, 1404, 1408, 1412,\n", + " 1416, 1420, 1424, 1428])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d638148a-0781-4b51-bbb8-bd308de0128d' class='xr-section-summary-in' type='checkbox' checked><label for='section-d638148a-0781-4b51-bbb8-bd308de0128d' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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'>2113321 0 2097193 0 ... 0 0 0 0</div><input id='attrs-105b156c-b8ca-4e4a-9a58-be17c19c97c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-105b156c-b8ca-4e4a-9a58-be17c19c97c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67c38fad-cc3a-4729-9440-2b0fef335210' class='xr-var-data-in' type='checkbox'><label for='data-67c38fad-cc3a-4729-9440-2b0fef335210' 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([[2113321, 0, 2097193, ..., 0, 0, 0],\n", + " [2113321, 0, 2097193, ..., 0, 0, 0],\n", + " [2113321, 0, 2097193, ..., 0, 0, 0],\n", + " ...,\n", + " [2113321, 0, 2097193, ..., 0, 0, 0],\n", + " [2113321, 0, 2097193, ..., 0, 0, 0],\n", + " [2113321, 0, 2097193, ..., 0, 0, 0]],\n", + " dtype=uint32)</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'>1 5 -1 2 3 3 3 4 ... 4 1 4 -1 4 1 4</div><input id='attrs-291b6842-b2eb-4478-abcc-82a6a866ba92' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-291b6842-b2eb-4478-abcc-82a6a866ba92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c615efc-9bf7-4b56-92b3-99f95bf64d29' class='xr-var-data-in' type='checkbox'><label for='data-3c615efc-9bf7-4b56-92b3-99f95bf64d29' 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, 5, -1, ..., 4, 3, 5],\n", + " [ 4, 2, 2, ..., 3, 1, 5],\n", + " [ 1, 2, 2, ..., 2, 1, 3],\n", + " ...,\n", + " [ 1, 5, 0, ..., 2, 4, 1],\n", + " [ 1, 5, -1, ..., 2, 1, 2],\n", + " [ 2, 3, 1, ..., 4, 1, 4]], 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'>-5 -8 -5 -5 -6 ... -3 -5 -3 -7 -3</div><input id='attrs-03b9d769-33e8-4d06-8d91-5f4d88067e14' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-03b9d769-33e8-4d06-8d91-5f4d88067e14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd4e7aed-a251-4544-86b8-48cc115e858e' class='xr-var-data-in' type='checkbox'><label for='data-cd4e7aed-a251-4544-86b8-48cc115e858e' 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, -5, ..., -3, -2, -6],\n", + " [-2, -6, -7, ..., -5, -6, -4],\n", + " [-2, -5, -6, ..., -4, -4, 0],\n", + " ...,\n", + " [-4, -6, -8, ..., -5, -6, -4],\n", + " [-6, -7, -7, ..., -3, -3, -4],\n", + " [-5, -5, -7, ..., -3, -7, -3]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_pressure</span></div><div class='xr-var-dims'>(trainId)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.28733e-07 ... 6.7894194e-07</div><input id='attrs-5badaceb-cf5c-42f2-a6fd-9d188fabf10e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5badaceb-cf5c-42f2-a6fd-9d188fabf10e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03d461bf-f523-46bc-afd8-27339daf326c' class='xr-var-data-in' type='checkbox'><label for='data-03d461bf-f523-46bc-afd8-27339daf326c' 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([6.2873301e-07, 6.2873301e-07, 6.2873301e-07, ..., 6.4182740e-07,\n", + " 6.7894194e-07, 6.7894194e-07], dtype=float32)</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'>float64</div><div class='xr-var-preview xr-preview'>2.661e+03 2.445e+03 ... 2.11e+03</div><input id='attrs-d6a3453b-c9da-4b7b-b633-b7d2b2b88f29' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d6a3453b-c9da-4b7b-b633-b7d2b2b88f29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b530953-066e-485f-8cb2-b67185a15ed0' class='xr-var-data-in' type='checkbox'><label for='data-8b530953-066e-485f-8cb2-b67185a15ed0' 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([[2661.23291016, 2444.58691406, 2480.74072266, ..., 2380.93359375,\n", + " 2479.30371094, 2232.07226562],\n", + " [2404.85668945, 2658.734375 , 2217.1796875 , ..., 2488.41577148,\n", + " 2629.03076172, 2302.22460938],\n", + " [2401.78662109, 2247.9284668 , 2280.03271484, ..., 2320.97119141,\n", + " 2199.11914062, 2297.96264648],\n", + " ...,\n", + " [2248.18920898, 2398.20703125, 2354.68212891, ..., 2307.03833008,\n", + " 2568.10595703, 2465.97509766],\n", + " [2123.55004883, 2414.68261719, 2608.14404297, ..., 2427.31542969,\n", + " 2626.33886719, 2505.59179688],\n", + " [1932.66723633, 1922.01318359, 2103.00415039, ..., 2199.97802734,\n", + " 2235.63769531, 2109.60400391]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e9799fc1-26da-4bd5-91a5-a35f4305ae58' class='xr-section-summary-in' type='checkbox' checked><label for='section-e9799fc1-26da-4bd5-91a5-a35f4305ae58' 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/SCS/202121/p002927/raw/r0100</dd></dl></div></li></ul></div></div>" + ], + "text/plain": [ + "<xarray.Dataset>\n", + "Dimensions: (PESsampleId: 600000, pulse_slot: 2700, sa3_pId: 100, trainId: 4044)\n", + "Coordinates:\n", + " * trainId (trainId) uint64 1044495172 1044495174 ... 1044501582\n", + " * sa3_pId (sa3_pId) int64 1032 1036 1040 1044 ... 1420 1424 1428\n", + "Dimensions without coordinates: PESsampleId, pulse_slot\n", + "Data variables:\n", + " bunchPatternTable (trainId, pulse_slot) uint32 2113321 0 2097193 ... 0 0 0\n", + " PES_W_raw (trainId, PESsampleId) int16 1 5 -1 2 3 3 ... 4 -1 4 1 4\n", + " PES_E_raw (trainId, PESsampleId) int16 -5 -8 -5 -5 ... -5 -3 -7 -3\n", + " PES_pressure (trainId) float32 6.28733e-07 ... 6.7894194e-07\n", + " XTD10_SA3 (trainId, sa3_pId) float64 2.661e+03 ... 2.11e+03\n", + "Attributes:\n", + " runFolder: /gpfs/exfel/exp/SCS/202121/p002927/raw/r0100" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "proposal = 2927\n", + "runNB = 100\n", + "\n", + "fields = ['PES_W_raw', 'PES_E_raw', 'PES_pressure', 'XTD10_SA3']\n", + "run, ds = tb.load(proposal, runNB, fields)\n", + "ds" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can now plot the raw trace for one train:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[<matplotlib.lines.Line2D at 0x2b3354aff9b0>]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ds.PES_W_raw.isel(trainId=5).plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## PES parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'gas': 'N2', 'ret_voltage': 0.0}" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "params = tbdet.get_pes_params(run)\n", + "params" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Extracting PES spectra from raw traces" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The function `get_pes_tof()` selects the sample intervals containing the spectra, subtracts a baseline, aligns the spectra to the SASE 3 pulse Id and assigns time-of-flight coordinates, based on the digitizer sampling rate. The default parameters `start` and `width` are usually correct but they may need to be adjusted depending on the signal." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n", + "<defs>\n", + "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n", + "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n", + "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", + "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", + "</symbol>\n", + "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n", + "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 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label {\n", + " color: var(--xr-disabled-color);\n", + "}\n", + "\n", + ".xr-section-item input:enabled + label {\n", + " cursor: pointer;\n", + " color: var(--xr-font-color2);\n", + "}\n", + "\n", + ".xr-section-item input:enabled + label:hover {\n", + " color: var(--xr-font-color0);\n", + "}\n", + "\n", + ".xr-section-summary {\n", + " grid-column: 1;\n", + " color: var(--xr-font-color2);\n", + " font-weight: 500;\n", + "}\n", + "\n", + ".xr-section-summary > span {\n", + " display: inline-block;\n", + " padding-left: 0.5em;\n", + "}\n", + "\n", + ".xr-section-summary-in:disabled + label {\n", + " color: var(--xr-font-color2);\n", + "}\n", + "\n", + ".xr-section-summary-in + label:before {\n", + " display: inline-block;\n", + " content: 'â–º';\n", + " font-size: 11px;\n", + " width: 15px;\n", + " text-align: center;\n", + "}\n", + "\n", + ".xr-section-summary-in:disabled + label:before {\n", + " color: var(--xr-disabled-color);\n", + "}\n", + "\n", + ".xr-section-summary-in:checked + label:before {\n", + " content: 'â–¼';\n", + "}\n", + "\n", + ".xr-section-summary-in:checked + label > span {\n", + " display: none;\n", + "}\n", + "\n", + ".xr-section-summary,\n", + ".xr-section-inline-details {\n", + " padding-top: 4px;\n", + " padding-bottom: 4px;\n", + "}\n", + "\n", + ".xr-section-inline-details {\n", + " grid-column: 2 / -1;\n", + "}\n", + "\n", + ".xr-section-details {\n", + " display: none;\n", + " grid-column: 1 / -1;\n", + " margin-bottom: 5px;\n", + "}\n", + "\n", + ".xr-section-summary-in:checked ~ .xr-section-details {\n", + " display: contents;\n", + "}\n", + "\n", + ".xr-array-wrap {\n", + " grid-column: 1 / -1;\n", + " display: grid;\n", + " grid-template-columns: 20px auto;\n", + "}\n", + "\n", + ".xr-array-wrap > label {\n", + " grid-column: 1;\n", + " vertical-align: top;\n", + "}\n", + "\n", + ".xr-preview {\n", + " color: var(--xr-font-color3);\n", + "}\n", + "\n", + ".xr-array-preview,\n", + ".xr-array-data {\n", + " padding: 0 5px !important;\n", + " grid-column: 2;\n", + "}\n", + "\n", + ".xr-array-data,\n", + ".xr-array-in:checked ~ .xr-array-preview {\n", + " display: none;\n", + "}\n", + "\n", + ".xr-array-in:checked ~ .xr-array-data,\n", + ".xr-array-preview {\n", + " display: inline-block;\n", + "}\n", + "\n", + ".xr-dim-list {\n", + " display: inline-block !important;\n", + " list-style: none;\n", + " padding: 0 !important;\n", + " margin: 0;\n", + "}\n", + "\n", + ".xr-dim-list li {\n", + " display: inline-block;\n", + " padding: 0;\n", + " margin: 0;\n", + "}\n", + "\n", + ".xr-dim-list:before {\n", + " content: '(';\n", + "}\n", + "\n", + ".xr-dim-list:after {\n", + " content: ')';\n", + "}\n", + "\n", + ".xr-dim-list li:not(:last-child):after {\n", + " content: ',';\n", + " padding-right: 5px;\n", + "}\n", + "\n", + ".xr-has-index {\n", + " font-weight: bold;\n", + "}\n", + "\n", + ".xr-var-list,\n", + ".xr-var-item {\n", + " display: contents;\n", + "}\n", + "\n", + ".xr-var-item > div,\n", + ".xr-var-item label,\n", + ".xr-var-item > .xr-var-name span {\n", + " background-color: var(--xr-background-color-row-even);\n", + " margin-bottom: 0;\n", + "}\n", + "\n", + ".xr-var-item > .xr-var-name:hover span {\n", + " padding-right: 5px;\n", + "}\n", + "\n", + ".xr-var-list > li:nth-child(odd) > div,\n", + ".xr-var-list > li:nth-child(odd) > label,\n", + ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", + " background-color: var(--xr-background-color-row-odd);\n", + "}\n", + "\n", + ".xr-var-name {\n", + " grid-column: 1;\n", + "}\n", + "\n", + ".xr-var-dims {\n", + " grid-column: 2;\n", + "}\n", + "\n", + ".xr-var-dtype {\n", + " grid-column: 3;\n", + " text-align: right;\n", + " color: var(--xr-font-color2);\n", + "}\n", + "\n", + ".xr-var-preview {\n", + " grid-column: 4;\n", + "}\n", + "\n", + ".xr-var-name,\n", + ".xr-var-dims,\n", + ".xr-var-dtype,\n", + ".xr-preview,\n", + ".xr-attrs dt {\n", + " white-space: nowrap;\n", + " overflow: hidden;\n", + " text-overflow: ellipsis;\n", + " padding-right: 10px;\n", + "}\n", + "\n", + ".xr-var-name:hover,\n", + ".xr-var-dims:hover,\n", + ".xr-var-dtype:hover,\n", + ".xr-attrs dt:hover {\n", + " overflow: visible;\n", + " width: auto;\n", + " z-index: 1;\n", + "}\n", + "\n", + ".xr-var-attrs,\n", + ".xr-var-data {\n", + " display: none;\n", + " background-color: var(--xr-background-color) !important;\n", + " padding-bottom: 5px !important;\n", + "}\n", + "\n", + ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", + ".xr-var-data-in:checked ~ .xr-var-data {\n", + " display: block;\n", + "}\n", + "\n", + ".xr-var-data > table {\n", + " float: right;\n", + "}\n", + "\n", + ".xr-var-name span,\n", + ".xr-var-data,\n", + ".xr-attrs {\n", + " padding-left: 25px !important;\n", + "}\n", + "\n", + ".xr-attrs,\n", + ".xr-var-attrs,\n", + ".xr-var-data {\n", + " grid-column: 1 / -1;\n", + "}\n", + "\n", + "dl.xr-attrs {\n", + " padding: 0;\n", + " margin: 0;\n", + " display: grid;\n", + " grid-template-columns: 125px auto;\n", + "}\n", + "\n", + ".xr-attrs dt, dd {\n", + " padding: 0;\n", + " margin: 0;\n", + " float: left;\n", + " padding-right: 10px;\n", + " width: auto;\n", + "}\n", + "\n", + ".xr-attrs dt {\n", + " font-weight: normal;\n", + " grid-column: 1;\n", + "}\n", + "\n", + ".xr-attrs dt:hover span {\n", + " display: inline-block;\n", + " background: var(--xr-background-color);\n", + " padding-right: 10px;\n", + "}\n", + "\n", + ".xr-attrs dd {\n", + " grid-column: 2;\n", + " white-space: pre-wrap;\n", + " word-break: break-all;\n", + "}\n", + "\n", + ".xr-icon-database,\n", + ".xr-icon-file-text2 {\n", + " display: inline-block;\n", + " vertical-align: middle;\n", + " width: 1em;\n", + " height: 1.5em !important;\n", + " stroke-width: 0;\n", + " stroke: currentColor;\n", + " fill: currentColor;\n", + "}\n", + "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", + "Dimensions: (pulse_slot: 2700, sa3_pId: 100, time_ns: 300, trainId: 4044)\n", + "Coordinates:\n", + " * trainId (trainId) uint64 1044495172 1044495174 ... 1044501582\n", + " * sa3_pId (sa3_pId) int64 1032 1036 1040 1044 ... 1420 1424 1428\n", + " * time_ns (time_ns) float64 0.0 0.5 1.0 1.5 ... 148.5 149.0 149.5\n", + "Dimensions without coordinates: pulse_slot\n", + "Data variables:\n", + " bunchPatternTable (trainId, pulse_slot) uint32 2113321 0 2097193 ... 0 0 0\n", + " PES_pressure (trainId) float32 6.28733e-07 ... 6.7894194e-07\n", + " XTD10_SA3 (trainId, sa3_pId) float64 2.661e+03 ... 2.11e+03\n", + " PES_E_tof (sa3_pId, trainId, time_ns) float64 -3.6 -0.6 ... 0.4125\n", + " PES_W_tof (sa3_pId, trainId, time_ns) float64 -1.337 ... 0.0375\n", + "Attributes:\n", + " runFolder: /gpfs/exfel/exp/SCS/202121/p002927/raw/r0100</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7aed755c-43e1-4314-a9e3-f318efb3a7c0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7aed755c-43e1-4314-a9e3-f318efb3a7c0' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>pulse_slot</span>: 2700</li><li><span class='xr-has-index'>sa3_pId</span>: 100</li><li><span class='xr-has-index'>time_ns</span>: 300</li><li><span class='xr-has-index'>trainId</span>: 4044</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-09b9caca-46c3-4a9b-bf77-a8bf5e067eeb' class='xr-section-summary-in' type='checkbox' checked><label for='section-09b9caca-46c3-4a9b-bf77-a8bf5e067eeb' 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'>1044495172 ... 1044501582</div><input id='attrs-6d980b1d-9c6c-42db-8bc6-1f8dd343f456' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d980b1d-9c6c-42db-8bc6-1f8dd343f456' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0aac231c-3d48-4961-97bb-6d26aa0a4464' class='xr-var-data-in' type='checkbox'><label for='data-0aac231c-3d48-4961-97bb-6d26aa0a4464' 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([1044495172, 1044495174, 1044495175, ..., 1044501578, 1044501580,\n", + " 1044501582], 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'>1032 1036 1040 ... 1420 1424 1428</div><input id='attrs-56a30367-8d0f-44c5-8170-f4d007ee3605' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-56a30367-8d0f-44c5-8170-f4d007ee3605' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76a80a9a-7686-432c-b3cb-44758ac46f3b' class='xr-var-data-in' type='checkbox'><label for='data-76a80a9a-7686-432c-b3cb-44758ac46f3b' 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([1032, 1036, 1040, 1044, 1048, 1052, 1056, 1060, 1064, 1068, 1072, 1076,\n", + " 1080, 1084, 1088, 1092, 1096, 1100, 1104, 1108, 1112, 1116, 1120, 1124,\n", + " 1128, 1132, 1136, 1140, 1144, 1148, 1152, 1156, 1160, 1164, 1168, 1172,\n", + " 1176, 1180, 1184, 1188, 1192, 1196, 1200, 1204, 1208, 1212, 1216, 1220,\n", + " 1224, 1228, 1232, 1236, 1240, 1244, 1248, 1252, 1256, 1260, 1264, 1268,\n", + " 1272, 1276, 1280, 1284, 1288, 1292, 1296, 1300, 1304, 1308, 1312, 1316,\n", + " 1320, 1324, 1328, 1332, 1336, 1340, 1344, 1348, 1352, 1356, 1360, 1364,\n", + " 1368, 1372, 1376, 1380, 1384, 1388, 1392, 1396, 1400, 1404, 1408, 1412,\n", + " 1416, 1420, 1424, 1428])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_ns</span></div><div class='xr-var-dims'>(time_ns)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.5 1.0 ... 148.5 149.0 149.5</div><input id='attrs-2e949958-907e-4eea-ba72-e551f5b703d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2e949958-907e-4eea-ba72-e551f5b703d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-264fe1e8-93e5-4052-aab5-c4c599c7f4e3' class='xr-var-data-in' type='checkbox'><label for='data-264fe1e8-93e5-4052-aab5-c4c599c7f4e3' 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. , 0.5, 1. , ..., 148.5, 149. , 149.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-95abda8d-0fa8-4f1e-86f6-340409bd8863' class='xr-section-summary-in' type='checkbox' checked><label for='section-95abda8d-0fa8-4f1e-86f6-340409bd8863' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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'>2113321 0 2097193 0 ... 0 0 0 0</div><input id='attrs-313cc549-1cb4-438a-9171-a37da5aabc91' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-313cc549-1cb4-438a-9171-a37da5aabc91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcf5cd39-4e36-45d2-ae7f-1d0002277a07' class='xr-var-data-in' type='checkbox'><label for='data-bcf5cd39-4e36-45d2-ae7f-1d0002277a07' 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([[2113321, 0, 2097193, ..., 0, 0, 0],\n", + " [2113321, 0, 2097193, ..., 0, 0, 0],\n", + " [2113321, 0, 2097193, ..., 0, 0, 0],\n", + " ...,\n", + " [2113321, 0, 2097193, ..., 0, 0, 0],\n", + " [2113321, 0, 2097193, ..., 0, 0, 0],\n", + " [2113321, 0, 2097193, ..., 0, 0, 0]],\n", + " dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_pressure</span></div><div class='xr-var-dims'>(trainId)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.28733e-07 ... 6.7894194e-07</div><input id='attrs-c7517b97-3fb4-4b2d-aadc-0268cbf900eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7517b97-3fb4-4b2d-aadc-0268cbf900eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdef63d4-773e-4a1a-ac5c-6d3c4954b600' class='xr-var-data-in' type='checkbox'><label for='data-bdef63d4-773e-4a1a-ac5c-6d3c4954b600' 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([6.2873301e-07, 6.2873301e-07, 6.2873301e-07, ..., 6.4182740e-07,\n", + " 6.7894194e-07, 6.7894194e-07], dtype=float32)</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'>float64</div><div class='xr-var-preview xr-preview'>2.661e+03 2.445e+03 ... 2.11e+03</div><input id='attrs-81452082-85ee-4e10-9c00-c800f790fbed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-81452082-85ee-4e10-9c00-c800f790fbed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d7a170f-94d6-4f99-bcef-c2ffb3a81378' class='xr-var-data-in' type='checkbox'><label for='data-4d7a170f-94d6-4f99-bcef-c2ffb3a81378' 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([[2661.23291016, 2444.58691406, 2480.74072266, ..., 2380.93359375,\n", + " 2479.30371094, 2232.07226562],\n", + " [2404.85668945, 2658.734375 , 2217.1796875 , ..., 2488.41577148,\n", + " 2629.03076172, 2302.22460938],\n", + " [2401.78662109, 2247.9284668 , 2280.03271484, ..., 2320.97119141,\n", + " 2199.11914062, 2297.96264648],\n", + " ...,\n", + " [2248.18920898, 2398.20703125, 2354.68212891, ..., 2307.03833008,\n", + " 2568.10595703, 2465.97509766],\n", + " [2123.55004883, 2414.68261719, 2608.14404297, ..., 2427.31542969,\n", + " 2626.33886719, 2505.59179688],\n", + " [1932.66723633, 1922.01318359, 2103.00415039, ..., 2199.97802734,\n", + " 2235.63769531, 2109.60400391]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_E_tof</span></div><div class='xr-var-dims'>(sa3_pId, trainId, time_ns)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.6 -0.6 -1.6 ... -2.588 0.4125</div><input id='attrs-73201525-465d-45e6-ae64-19c06fdc4e68' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-73201525-465d-45e6-ae64-19c06fdc4e68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62de59f6-dd0e-47c5-bc2f-d193b290318d' class='xr-var-data-in' type='checkbox'><label for='data-62de59f6-dd0e-47c5-bc2f-d193b290318d' 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([[[-3.6 , -0.6 , -1.6 , ..., 0.4 , -1.6 , 1.4 ],\n", + " [ 0.45 , 0.45 , -0.55 , ..., 0.45 , -2.55 , 1.45 ],\n", + " [-0.5875, -0.5875, 0.4125, ..., 0.4125, 0.4125, 1.4125],\n", + " ...,\n", + " [ 0.65 , 1.65 , -3.35 , ..., 0.65 , -0.35 , 1.65 ],\n", + " [ 0.85 , 0.85 , 2.85 , ..., 0.85 , -1.15 , -0.15 ],\n", + " [ 0.1625, 2.1625, -1.8375, ..., 4.1625, 1.1625, 0.1625]],\n", + "\n", + " [[ 0.3125, -1.6875, -3.6875, ..., 1.3125, -5.6875, 0.3125],\n", + " [-1.25 , 0.75 , 1.75 , ..., 1.75 , -1.25 , 1.75 ],\n", + " [-0.475 , -0.475 , -0.475 , ..., 2.525 , -1.475 , -0.475 ],\n", + " ...,\n", + " [ 0.4625, 2.4625, -2.5375, ..., 1.4625, 0.4625, 1.4625],\n", + " [ 0.95 , 0.95 , -3.05 , ..., 2.95 , 0.95 , -1.05 ],\n", + " [-0.325 , 1.675 , -1.325 , ..., -0.325 , -2.325 , -1.325 ]],\n", + "\n", + " [[-1.875 , 0.125 , -2.875 , ..., 2.125 , -0.875 , -0.875 ],\n", + " [-0.7 , 1.3 , -0.7 , ..., 3.3 , -0.7 , 3.3 ],\n", + " [-1.4625, -0.4625, 0.5375, ..., 2.5375, -2.4625, -0.4625],\n", + " ...,\n", + "...\n", + " ...,\n", + " [-1.7125, 1.2875, -2.7125, ..., -0.7125, -0.7125, 4.2875],\n", + " [-2.925 , 2.075 , -3.925 , ..., 3.075 , -2.925 , 2.075 ],\n", + " [-0.65 , 0.35 , -0.65 , ..., -0.65 , 1.35 , 0.35 ]],\n", + "\n", + " [[ 1.5125, 0.5125, -1.4875, ..., 0.5125, 1.5125, -0.4875],\n", + " [ 0.375 , -0.625 , -1.625 , ..., 1.375 , -1.625 , -0.625 ],\n", + " [ 0.5625, 1.5625, -1.4375, ..., 4.5625, 0.5625, 2.5625],\n", + " ...,\n", + " [-3.5375, 1.4625, -1.5375, ..., 2.4625, -1.5375, 2.4625],\n", + " [-1.7125, -1.7125, -1.7125, ..., 2.2875, -1.7125, 2.2875],\n", + " [ 0.6375, 3.6375, -1.3625, ..., 2.6375, 1.6375, 1.6375]],\n", + "\n", + " [[-2.2375, 1.7625, -0.2375, ..., 1.7625, 1.7625, -0.2375],\n", + " [-1.575 , 2.425 , -2.575 , ..., 3.425 , 0.425 , 2.425 ],\n", + " [ 2.55 , 2.55 , 2.55 , ..., 2.55 , -0.45 , -3.45 ],\n", + " ...,\n", + " [-1.75 , 0.25 , -2.75 , ..., 3.25 , -1.75 , 1.25 ],\n", + " [-2.475 , 4.525 , -2.475 , ..., -0.475 , -1.475 , 3.525 ],\n", + " [ 0.4125, 0.4125, 0.4125, ..., 2.4125, -2.5875, 0.4125]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PES_W_tof</span></div><div class='xr-var-dims'>(sa3_pId, trainId, time_ns)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.337 2.663 1.663 ... 1.038 0.0375</div><input id='attrs-7977a11c-a7d5-4565-95b6-365e6b9c8d9e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7977a11c-a7d5-4565-95b6-365e6b9c8d9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f5bc505-5de3-4c05-ae7e-5d6755edab38' class='xr-var-data-in' type='checkbox'><label for='data-4f5bc505-5de3-4c05-ae7e-5d6755edab38' 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([[[ -1.3375, 2.6625, 1.6625, ..., 1.6625, 0.6625,\n", + " 1.6625],\n", + " [ -0.55 , -1.55 , 0.45 , ..., 1.45 , -1.55 ,\n", + " -0.55 ],\n", + " [ -0.9 , 1.1 , 1.1 , ..., 1.1 , 2.1 ,\n", + " 1.1 ],\n", + " ...,\n", + " [ -0.45 , -3.45 , -0.45 , ..., -0.45 , 0.55 ,\n", + " 0.55 ],\n", + " [ 0.05 , 2.05 , -0.95 , ..., 0.05 , 0.05 ,\n", + " 1.05 ],\n", + " [ -0.825 , 0.175 , -1.825 , ..., 1.175 , 3.175 ,\n", + " 0.175 ]],\n", + "\n", + " [[ -2.65 , 1.35 , -3.65 , ..., -0.65 , -0.65 ,\n", + " 2.35 ],\n", + " [ -3.4875, 1.5125, 1.5125, ..., -0.4875, 3.5125,\n", + " 1.5125],\n", + " [ -2.025 , 0.975 , -2.025 , ..., -1.025 , -3.025 ,\n", + " 0.975 ],\n", + "...\n", + " [ -1.05 , 0.95 , 0.95 , ..., 0.95 , -0.05 ,\n", + " -0.05 ],\n", + " [ -3.025 , 2.975 , 0.975 , ..., -0.025 , -2.025 ,\n", + " -1.025 ],\n", + " [ -1.5125, 1.4875, 0.4875, ..., 3.4875, 2.4875,\n", + " -1.5125]],\n", + "\n", + " [[ 0.7625, 1.7625, -1.2375, ..., -2.2375, -10.2375,\n", + " -0.2375],\n", + " [ -1.5 , -0.5 , -1.5 , ..., 1.5 , -2.5 ,\n", + " 0.5 ],\n", + " [ -5.3375, 1.6625, -1.3375, ..., 0.6625, -12.3375,\n", + " -11.3375],\n", + " ...,\n", + " [ -1.35 , -0.35 , 0.65 , ..., 1.65 , -1.35 ,\n", + " 3.65 ],\n", + " [ -1.7875, 2.2125, 0.2125, ..., 0.2125, -10.7875,\n", + " -0.7875],\n", + " [ -3.9625, 2.0375, -2.9625, ..., 4.0375, 1.0375,\n", + " 0.0375]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76772d41-74cf-48b6-8fd9-02d00910a1b2' class='xr-section-summary-in' type='checkbox' checked><label for='section-76772d41-74cf-48b6-8fd9-02d00910a1b2' 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/SCS/202121/p002927/raw/r0100</dd></dl></div></li></ul></div></div>" + ], + "text/plain": [ + "<xarray.Dataset>\n", + "Dimensions: (pulse_slot: 2700, sa3_pId: 100, time_ns: 300, trainId: 4044)\n", + "Coordinates:\n", + " * trainId (trainId) uint64 1044495172 1044495174 ... 1044501582\n", + " * sa3_pId (sa3_pId) int64 1032 1036 1040 1044 ... 1420 1424 1428\n", + " * time_ns (time_ns) float64 0.0 0.5 1.0 1.5 ... 148.5 149.0 149.5\n", + "Dimensions without coordinates: pulse_slot\n", + "Data variables:\n", + " bunchPatternTable (trainId, pulse_slot) uint32 2113321 0 2097193 ... 0 0 0\n", + " PES_pressure (trainId) float32 6.28733e-07 ... 6.7894194e-07\n", + " XTD10_SA3 (trainId, sa3_pId) float64 2.661e+03 ... 2.11e+03\n", + " PES_E_tof (sa3_pId, trainId, time_ns) float64 -3.6 -0.6 ... 0.4125\n", + " PES_W_tof (sa3_pId, trainId, time_ns) float64 -1.337 ... 0.0375\n", + "Attributes:\n", + " runFolder: /gpfs/exfel/exp/SCS/202121/p002927/raw/r0100" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pes = tbdet.get_pes_tof(run, merge_with=ds)\n", + "# this is to make sure that the train Ids are well sorted\n", + "pes = pes.sortby(pes.trainId)\n", + "pes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the dataset above, `PES_W_raw` and `PES_E_raw` are replaced by `PES_W_tof` and `PES_E_tof`, which have dimensions `trainId`, `sa3_pId`, `time_ns`. We can plot for instance the mean spectrum over all pulses for each train:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "<matplotlib.collections.QuadMesh at 0x2b335533bf60>" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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mr3I4aQZknrfbqR21WDDgAkE9aBuokqtdglrtYi44v5q7BV5UvZTKDNLvflLVeuzAsT5BJpKNpq7aSrr5m49NhdSRqBn2cyK858ktAOD1ixnnynCe2GTsijChUuEqPFcDEbo6ffoVNTVS7B/5ISnuu8TNP2ctVSSwS3u+XsJpfk/6VDWU9G1/F4ztNpRW60+iFYNZvXtxroHVRq8bvKlAydbOCtzSOnt4a4sSVLTTRQnVD5vWt2uQXIBHk1qOkstjQbaDNUO4GY69BFeHu5o+PlI73ZIbIq1Oow40EBd8WESHTl1AEM0DGRTZNxF7ifMo7dfSQYDlJcphrNTVZe2bsbzrhqok4kvoDCRsPp1hPjDQHi7d5rOjMEbvDwmqamG4pGBwabvH6oyftuFtckJOwJ2zTXMODL/PNGDSXW4q7EilyDAaSq6p0WxT9/nR+sTeovdC1kNlxq5UvHYpyL8XXr9CToQzVY/lREha2XtvbbQvMqcJrZ25Sp0JUaWlv7HZORpQJPYxERymLL816K8xRCOzQa030kq53XNgHduhwVWOB9ZsDtdN9RYPIhE6Hw9pXT32TqhNUVRmCrtWxsN+MELX1+49OcB0OPTH5s3bv0aD/kj0SP8eF7rBzKWpEXwx28kuSBWzGgV9U7GTtsIwI9zXJQ83VJIbBV20D7DHCOP003noIQXoZ7snGHLDb2socgdAKLN8r6W7v4NjmuE02EAczulw4dZG3ISikRZqzDeoaYSVdrBt60ctHaABgPtsDGHODQJ8yMgcDfqAbNJzYXz2pXPfiAtbm8AAQQsNqhazE6MZ8GfdjAF0B4qkEHHrh8F2S2XvawWQE3ArqLuePBnxxInAj0tlPP/EFtMifZwL49VLgW/PyuhKgNgKg1AVXlgchkoTlaBAj+UU30AkBklmhBM/2snf7jHU1VptVVmcbW2d24GCytRJjp3aN/wdpYr1+1EY/uzXdj+OQBs7rBikWSUWm39rw6DhNmdRNWygEJ+D0EeD/FsfTbqytXtdBn0Dp9wktdiN9dAHBC7aVALJYYvQjQdFYK3MDQrMeQNS9ZOcyJqjoqhYqEkBXl84GVE7EcW62U9N5BIGm7E69WVy6BuqtmEnT73HToSkp7is9ZnzHJP+tqq7UxXYWKk5QWbYvbIhcN74Diyw49xeEG59hI4565gHNqNwVl09+TjGTJgLuwMf5w1yBTglpMrglJGZvd8JQE0jskK7hgQ8f2uDy/PJ0VaZVAogO43LBmcv9KwMLdogbB4rsz/rzABxwSYPqJQwJGGmFWoPUfvITtFfF3PBg2npDPpffO1SjPqXE546GTFXYTDPnI4CSQZhKo15F0WP2cl/VvXeErhB1fXMKYn/h36vIGTSsdHQ+ews9jclt0NxygJfJvJ5lTkX6cDWzAB5TzIARoKBsqN0Kf2RNeRrCSphFAZS1ncgrD1KyCx1rqUakWxZymh7g+o0hyT9Abe1n1jaTyB/dkwDDIoMJAxp1ZZJYDamtbriHdDjpPJ6FLrBkgt0kw3qHLN1UPLfiHqD3yE7BJnaAE3b1SC3bXVyGvr20J/0TJ3i4IBDaqTQ7+hRH9Et6zZ6BFEbRxdhgJtfwnqs5r3f/dQhdahrM6lBPDIqUx0aXNbrWakkTLVhdhA7Ucp8BGnMxavkvh5eJ4BbY8Izz5xiO0h0gjGTeNAHySCqwbIy/Zyo880xVNtSmxrJoK/VwQ82t9wh3jIRdkvF6ZhxfrVgt1RcTAWbIWEzpObQCuCZ0xEnY8LpYBs9uYH/ZJADUE7NGTRKGi1iAdwvJUE+23qEe6mbeszg1qZKy6EeIKgT41oIc2wU1yl17wd8PfRILmN20bZI7oNi66GT6Lka72jtHzgQZer71lTM7ZmyQeTD+7FGLsYDVReR4m2SHQxukuRyg5kLO+OIC1V+akiX1Z6qorOsgBIYkel23fXgYJN1hZ7h7uXxNlZlaMUIujIHjI17TCkwssgkIiMDml8A0Bvw2+bew4159Vus25zUood/7FfhppKwPkoZUQ+Z2idKVc3vp3gd9unhd7S+//ulB5iW6kzqapE6t0ODm9Zwf2E4FLnq6dfCxQBwNZKpWgxtJmPbewQebeHJkxGJCO976gTP3t5gMyS3uQBAreIPczGLb4wFvwSkP5dzVbuQMi+VWkzqQpgP61upvT3F7CEUmF9nfOeG3nMm7epSbmvgAPKL/XuruwvxonNBh9bpau2w2vLWZWwNuG9NZBTh0/yX1lRW4yKF7+8hN7UeQq/uvha1GI5Q5BtEov8+iGfXjWEtARgTij4g/oK4vpYbEguHN2lr46EUFn089dlJL0KJ7cU85KfyMEa2po7JUO/sNpV+Hty7P8RSW0s1QLOfPPyku+8MytrGmKljHA8jOxmbwTg60n3kqROcbrIzFfMZmUpzeIzMwZiFxRPzKAPWt2hj4NrZXgCRECwWGLNsJGMS1edcK758b4dXzidMKr187pULTEvFVZEQOXNl7ErRqATwuk9Hk1paOJYc5q1yixkGyN/WJzvsRCbp0GG105iUYz49rGAKoDGH7tmh3R/HH8vYelgOcF1rw4AAhvSzeXWHSFO7hnXe5p97CdgPT6Xrt1xrhw5fZyn7+/2w5RXjA16H5AIcJZcbRPoC8QEP/bCBrr3I9+CTbwRTpNQv4oi4wQqKW4uU1d+KqryaL05jIFFiiOSb64opReNoZBz2G2J9K4O+hTuJJ1RTX9gY12oPBxPUInUp9LfBpnvYtvzGvnGVyhgTOt8EXjFHlzDWsajKBAJwNVecXy3uJAlIYEkZV1EGArddxA17KuzPIs5XBHYQkW9mrCfjGAssa1u7UjEmUYMNiXA5F2xVJfb02cbbnYONhZUZWsiawvKimp+O+bmYBJZYgBqlMhKrURvs8cOaDax20qk8T3RknuwdQMTmNqx5Gf/iDN7UPliViWRN2fw3gEADrvhz5LrHVLy/oW4z0stNyVWTHbBgVQ/puozItFimcP9eXJdB/xhb7KZQEJP90xEm7PDFtqm2+xozgEs5di+v6qxxodfSbYYGgT2kVgHiS8fOnCwMvN9n6DPbeLugjivHuBV10oGd/MOmGtugOOaoluLqSDQfI1Yn2jCP/p0t1E3fR3Nsk5NtDoi8npE49NWCMCpiiNOApYqfy9WDGVXLTsqM9nw3IJs4UfN7qSp5FL+HWkgSPTEXBRZEiab6J2MpwpTOxowxS3yxDzxzig8+fYoPP3eG21uxY13OBWdjxp2TQWKIaf8saKeorLgfBwhr9VZeDazF0tLnyezz6NB6HaNd7yQek050zUHXuIdt0UPTWrVoz9jD8Wh4Hnu+xgwsnE+3FqMEzg3tZZ+MXpXqCMFVWetb0X7HcRHXxjih6kKblzCedYifd0o30ebyrqLFiOhHAfxZAC8x8zfqtWcA/H0AHwXwuwD+DWZ+jeSo8l8A+NMALgB8PzP/st7zfQD+ulb7HzLzj71544pcQgsvwZQEZ86q3kBDe43my6Bhx3nYClImj7AAlBExk8J9zIIe42Erah8iANmRVJtMYBqbQV/RZpxH6VvK8h0Jm9SMmNY+WZss30EJI7ROQJAyEb0GwJBczDrmqt9p9JDvsY2BAOTREWE2VzY2ZLEtGFotU+u3zZm1z0gY1GDNkD668+awBcxWYgyEBmwg940BGVcZQErYZKCmLUbZYTAkwosPJnz4/bcxqprLwt8DpkZqqk6ChIkxr/hNluewHewkrGgxRVJxUvQaqy2GJL9MqcCXr2a8eD7h1csZv/nifZxfLfjnL95HToQnTkY8oz4tT53JXL7nqVMAECaUEjaJcDoIs7s9ipe9qMZIJTp5fmMynydhcqUyxkyolJBIbIWj7lQOBqANxsCMmOH+QxkNJSX3yTwyEXICGKOE0a/ckFeG3iNdJ7rWCEDNgt6z52vXR33nNrJofX3YevH70sbRXobyIsiYahqBwqh5xFAZjEHfKfFvEqmoYEgDGGOHeqtJ16f225Bs2eaF2sHK9oDrIML121OIKAP4NIAvMvOfJaKvBfDjAJ4F8EsA/i1mnq610bdA77bk8ncBrDOu/TCAn2HmTwD4Gf0OAN8B4BP67wcA/FeAM6O/AeCbAXwTgL9BRE8/agcOGRot+q8hVIDgFb/S03anKMBztHRtBD+RWJf7jlTursc6DYnV3WPdBFxiobq4EX0P0Rbub51KruIyhrYOi9+NTVVfjlAL7dq8dG0euraaK+b2t6nXzKN8CrouYk1zEO1duqmv9e02Lx++c4L7V4uHo3e1jVJRY7kZyO3Ea2UStUyU5gND+rupgzokFgvk+VQjId/ZDrhzNuL5J7fYqhH//tWMz73yAJ/98jl+84V7+N1XLvDZVy8wl4oXzydcLRXnc/PYf6DG/J1ihq2fgJz059qHnJ8Le04YQ8QtQSIxW4cBEkyV5lIO2niitEn6nMlUl9z8TNY2l71wLw+x8zHg6zrmc6H1Oj2kFkNTRfrzXN0X7ThxS6damjrTD1oNaBJr8ffrGpwogd8XyeUHAfxG+P63APxtZv44gNcA/MVr6fjbpHeVuTDzPwbw6urydwEwyePHAPy5cP1/YKF/AuApIno/gD8F4KeZ+VVmfg3AT2OfYT2kff0EYEguk06asx9cJAf2mYnXpQtwqdyYgW14YSOO9zHgUWSNkdgij1Dmtf64M9ZzRGC1NjuUliHctL5DUZFjvCy7z43kOq5uHMEeFZmUtRH11m5PsoRkAfnjOn0zxurGLXG0morGykaGGuNLxf4TgPOp4Pc+fxeXc5NQzJHSGI6ExicPdw+0EDBFx2Aoquj/YmolI7FtkNs3EhF2pWKTE+5ezHjm9halMl5Xv5ucEm6fjLh9Iiq9Xak4GXSjZeBqqZIaGXD1ofnqRO2XRY8GEOwijSFadGtjSt1mrL+JWqh0QTqNads9zuftUBBSDZhaydSJ7q9VZq8nrq959cxs7c9hPVieo1gmes/Hg0T0R1qr3iIZY+ztKm1sa+bUoTHfyK76iCRr4/rQYkT0QQB/BsB/p98JwB8H8A+0SNw73xV6tyWXQ/ReZn5B//4SgPfq3x8A8PlQ7gt67WHX94iIfoCIPk1En/7yyy83/bae7qPvhjMTgjsamhRhCyBmjQRMrxoklxBR1jHz4X7LDhkXVDzJrR3IrOw6m5+VMQdQoEepSUTYkEVTx9hl47M2/SW29tCcMIPxPkolUd9vfTX1DZH8l0O/iGvzgI+hZah9r9w89UFJneRSqAceF6vLSKnjupgLnnjmFLfG5N79iUTlxeE0b9dI1XSAvBRz4e7Ea6FV5HnqZ6jDgkvutK25VFzOAjl+4XVxmtxuJM7Y6SZjk0WauX0y4M5WgBsWfv9E87/EORtUrSd2IHbk2JgCQ3E1FnXPxRBw0mcOYVKMM6VmfKc+FphlBpVnZZks2b8T4OFXvBzgUYgNyWbPtTMNhecZfYus3wRVk+pzNfJsmzbWAJix039cV4nMl0fXN/WZRPecnQFHkXLKHTN9u0S4doP+fw7gr6GZ+p4F8Doz20n0ofvgV4q+GpmLE8txkd+04KPX9yPM/Elm/uTzzz3rUOSYBU8LtkXG7XrMBmmGbPOFabkgQnc13MoaLhzzlth3VxEAXXk79cVslT4eoJNu4jj6+/uQIPYirrNk2r0c+hRPnVGF5kZR8/Nxg/zcSUeeATPOHdom6fWo3cBzt6Cps6hMfpq17JMWGh+sp/yUXVoqzLh7tWB3uQQbiox/VqN5opD2mJsNx6SBTW6RkQf9jWpxlJhBeT2kTKIQvRgYsyDEbp8MeM+TJ9gM8qq9em/XHSYup4LXLmeMKWmQS3Th9U2CY+Yu4Vkkk0xNVRRzrSSI1GOACCJyRFg8gBh4we7zunVNchrQZZ7UtmwN+joKal4Ajl5bOyI39V6Tdg+ixYLqzfppCjvPRBkM+utMlP6euvQcGAXXrkxDUwIGcIlqtHdCppZ9RLXYc3YI1n8/0NVFZHbqX3rHHft9pK/G8C8vEtH7mfkFVXu9pNe/COBDodwH9doXAXzr6vrPvnkzKgHoxoJam25VsxsCssnmqHON+uGHleEqP8Zw+Ot9gSsKgBE99/TTdzzBUHKRnt3b4LMAACAASURBVKLvjaokoKE5kukmQqBK6H1MyctaGwS9RoOHmrE+SLKwelDnTHXxUBm2MfgrG3XXYdw2GpvzCFO1+Wc9cZYiUGRmy2cygFiksuTNkJ/CMxhp2SGlFormn71wDx//8B33bzGjtm0+lYGTodli/OVPhKwqoyEheOazPHudV4Ma28a3VMZUxV/lYq443y04v1rw0r0dXrp3hfsXM6oWvpwL7pyOuHM24sntgCdPRpwManNSSUoQaoxS+xOgZIyUkC5jIlwtjKKSaZxPi3gsXvkmaQxAVdUV+6NSSYyDDUtO8bUCnAi1MgjVPftt/v2R2/rS75LtsiD2nNfvEOSZS9PtwOPthrWb9LqrsUmBDNpvX0OU/HtEe1lYIUAPWqHuihaSibg2qYZr/05fA70Fg/7LzPzJN/j9jwL4TiL60wBOADwJATs9RUSDSi+2P75r9NUoufwEgO/Tv78PwP8Srv/bJPQtAO6q+uxTAL6NiJ5WQ/636bVHIldLqVrM1D5RJbHO1RIdEi2RVXx51mmFOW9cBdXF6SJ0L+Wa1pGKuwyTpqpaRyxO2ftk4+hUea6Oyl0bHoo89P1QBNmorjNVRoyH5t/R1CX+GyVXfY1ppd5jRlR5mUE/+6YBD19iUGYzsse2TB2Tk2R/nKv5rQgizGKNLZVxtbDnMekYPLXkXKKOavYA60dlSNyu1PKsbJKoA8ckicKyfp5fLSjBj+WV8x2+fP8Kn3v5Alfqnf/C+Q4Xc8FSBHUmY28It5zIIxc0B1c93VOAAescWtwwZgthY5tymE/GngqNNc21Gf39Gei8m6rI5sPsLHYgWa/9tk5zeNZtrcmzG7vvHnkA/acBK6Ja0/pMaM/D2k12WGHJ3mlrx+x8NY9apr0Ldj6z9NnXFhWZDN335v/ejJj532fmDzLzRwF8D4B/yMz/JoB/BODPa7G4d74r9K4yFyL6ewB+HsDXE9EXiOgvAviPAfxJIvptAH9CvwPATwH4LIDPAPhvAfw7AMDMrwL4mwB+Uf/9B3rtTWmN2orRhEsQ0x3dBMCw/j6GoBaL12oQs6M6yNpYAwO6kC2hbBeWwg2nvYqMgYZiU2CC5UGJTpjmoCh1l72+mSqtqkGbwuZhZeba+r5GoMW5y0SgMsmYVCUB9KlnOwdVaimUM7WTcecDEyJKA83wDLQNP5UZmYA/+XXP43f+n9dQmBW22+q0iMhma3GV2AG1UEStyZibmtHUVSYNmVqyMGPMCU+fjjjdZJSlYt6JKq2Wisup4HXNPHn3Ysa9qxlnY8bJIM9rKoISuyoyFzFNMyCMoKj0Z5usQOXhG29ODe1mZUzF1CIMw1WQDSHY+4XY82HdlE1VZX4+7dm3COJR/URlcrUUo82x9cPWIOwzvF8c6rZ6gOYgamSGeQvPY2smGvYTt/VuNpo2H6r26tRy4UBxDQZ9gED50f69A/ohAH+ViD4DscH899fQ8bdN76pajJm/9yE//asHyjKAv/yQen4UwI++7X6Ev9/o0bYTFFyNA8gmmw6FiOAWuVe+N9VbFy+L+g08qrVi31wVBWU0aeOf0g9pcz0I4oqUMqAn9CERqAQVW+wPgi6eGxoIaSMbv2oeKIyljQ1+Up1rPyexS8YITV3hJ0qllpDKfBYq1uegwkAGxFaUt+r1ncAQXfnvvHaB97z/CbdTVBbfkLlSs7nUFgrGyOJ4nRKwoA9KyTmDlyoqIiYwN4iylbtcBEr82uWMF+/vUCrj9tmI12fZwG7d2uCJE3H0PNuInenp0xGlMuZa8eSQAYivy1zFWtvZRrjFHjOymGhAC1gp80ce7LEygJTAlcF5AAq7VBP7H0leOUGdbagHcYy5qb5IVUh9KBcNKZM3onGGqqDsWTNcEuqIpI+gHnQBi1zMwkEdIakGs/icDiUyA9DeRbbUbmF92XuJ9szF9nKwqrdOBKTfBw9JZv5ZqBmAmT8Lccf4qqCvRrXYV5QcFZI3XXwtEf8H1Qk3+GIXUlzriEHwOtWQqX0MHUXJ21uroQ7622ClGghlYj8isiuixRzltY5O7C8tdX47a58YDvOwFtdjQrJuPrSPps4yaDdCGy61xSo1mCAotbAnNYTVp37ONxoKpalUshtiEwHvvy05U+zEbwb8rJspAWHccIBADLtC4R8A98GpwT7FzJ6nJRHhdEg4GyV98e2TAa9fzLi4WsAVKIuM+2IqGBLh/tUiYfgZuHMyqFE+qMVSe1aVW3+r9jOTMEx57Ao51t7KHsw+h/78VeVlGzARdUEu3fdDEWSmOjPfJitpqqNImdCt4yYpwtXATZXa7lunfbDo3KY29nKhTvscw7Pi0J6FlvHfgh3VwB9RHRaRkwYOuE5eQASkTX6kf48L3WDm0hwlGQAtu84vw0Vy1TVUbot2rR5raqWABIvHyxWKxa7Zd8+EGMqvg//5i6Gf8SXugkRGNZj+RmXqfFDW/ildfTr2iG5bJx+z6LUtfE3fR0e9aSiXLsSOtuFzG8etZSy2mPS/nzMrO5fmSyMhQXR+y4TKwN3dgi/97utux4mGd6s3bnYG/xVjel82qfrJfHCShjRpWkz2DZEIbpwHgDPdLLanA7anIy6VoVxMoirMSeKNnU+lzSNLmJfdIkykMiMn9aFBmxf7N1ADJSTWBFxkKDhyf5moKjJ/nyWgryLKzGwuHgk6tOthV8J6YDT1mahS+9TKpgLr0H6mnuIWVsbmfe1HZnYSC0ljaDVjBI7sIuokqKbabuOgWtQZtnRqWltfKb7n10VESPnR/j0u9NWIFvuKUWUWJAoghvCkyZTUcOzqJEsMpvfZ4zf1WErtR3vBolTjvgNROunUUHD1EOtvhqoakoQ9sf7k4OC5piY5mD+CiPue0EvVCTEKMnenUUa2UC3aD4b6GsQdhpJvPj7+WjtJpBt/+Ixt5ETA0t9nRv+lMk7I5lOcFglNfZFVFcI0gKptZtVVh7Uyhk0rayFcKpEbu0WqqaqSkn8ECc8/JOry2yRSsEBhD5dizpNmdyGSOq8WYeKbnPDKgwm1Mq4uZqREWKaCZ99zC+cXM76AC/dbmkvFBYBtrphrxdk4Sn0mvbHAqN3AT/ANvkLnAmLroNLgwEWlNFJJOqrFPJYamqrQpDMQOVosUXTklSjBkjRN4eBk60cefKzHGY89Ny0rkSwKSKX5mJjL7otk0ndUedkzR2oovodyBEWdGbLN3rOcJDQM1/5GT7R3DT4uRpRu1ln+Zo22Iz1phtDx7i1+wC7S7mgMA6GsXIczge4UT6mhnsLLZgvc6o2SC0KZLi1r0DdbebFd7OelcRWceegrY4ohaqIEFFVfnUOlRjX2aAJlakyJ+oRPazIgwTrkv/K67pqpIBfd6D0sSdXoxqo+se/2m0kTFNSD2yFhezIqnFdOrbI5s/uEGAOxDaupC5vapqg0WnUzNRCBqcOMchIt/slALrmc70L04aViGBNOnxD72O2zEd/4gTt4z5PbMOfyeWuTFW4Md6obkjhMmsqO0fLdJHAnWcagjHm1GVua4EgGTDAEnEku7RnqWgzPyg5L5ghsrfjfYX3Fdwrrv+15hj5GIIJHLu7WNXUquwjq4JX9KCIso+qt66MFZj1A1+bnQrhxkssNZi7NOSyqmlqkX1vYQfwHmsrKNnN1lOxe2GgbQa9yanGZQhKkcGgyWPQ6wZKJ+qITDjdYf5zZtcUZQ1jE/DTmkOgvdCiD8CIdUuHZi76nNqDkkZgZqzwspmY0u4rOQXTUBOAIN0KzDUVU0CHUTovw2y/lnUoPJ5lcuhiTwVnhEGKH4pJs3J0OX+tKRB0j6Ta6lRQ5V0l2dj4VTJqFcrpakIbkfi7TUjEtFfevFmzURnPnZMDZmHFrk1ySWsJwXZ23PmHrvGSXttn9dUw9Zv10lJvOv4d/CWNYq8G6ZGF2rTvshH4EcpsipU61uY7S3dkxESQn7bNHZw4qq1RmdxCNeXWYmyOszZXHvltBizvUGjeHYLu2RoVeB30F0GJfVXSDmUsL1WKnmC6kiZ5QjXydrSWWYAD1sm+QXMgMm7FOOw074+A+JIwYHJtEZBuK/dap4laMLr40Dv0EJKe5DWn1Ce3HOoSGhddYkzGMUfC+quqBS2lWN5uzH4U0ux4TzCbFIiJrplAztHYn8H4TsA0+bvRzZSxTwVybRDAVdl39VNo/U2u5Tp7asxmTzMU6ORjQ9PjxWoKEntktBedXC6ZSsTkZUJeKZa5YpoplLgJRZsblVHB3t+DVywV3rxZcLdVVfptM7jTpc7GiN9qKOm2j2RfDIQOr392vJRrdbS2ZFEu65lZM1aXvlRoM4bqH8wnzaGjEqD2w9qIPToxfVvPYHETJMrSKvcn9jgKIRqTdBsOOmSxFtfqwdb1/7W0TESinR/r3uNDjM5K3TGGzArqXx69hpQJD/1t/8YBq4FCrqxAz/mJF2DH1UYzXSDLPBhna8lwnER1mG76NNqjgOlVEGH8n+WiYEAs4aXG7OjVhkJykDHfBCa3OtXrPfSgOMDBAILjM7Xn0qo6WbdE2IUf+kOQf+djTZ1g0aKVEC27OjjKH0CgAFnSyOUvGfXOuCMbqZqQ2FVLcLKtO35gTtkP2+GDzriAN5rjIWKaKu5qV0vxdLKVDqdK+wbmNdoswwqp9iegxm/vusGJzxaaC1Kyrq/VsxvdD4V/W6qhWac9wolRxiOy6qfEehTrfl9DWOhoygAYi0BBCgDCgtZRnZV29uVLTAv1BAdD36yFIzrdCREAe0yP9e1zo8RnJ26Bo2PaovAfKdHRgoT00XPeh725raS3FyLZRKsGKSXVqMUp7bchJM6jTVL22Zgprivpn62sHpV7ZfMygf3CMaiuwOq3/lsjLxuVtd7p96avkq5fvkxrQ5yLtToV9c7CTdYcW0/vHTLj/6jmmovnuSTYOSdtMHu3PpARBRvVqJztpdyon1fEbkqpT4XBD7p2NElcMAPIghvRhTLh6MGGZC17/8gP87kvnuHs544W7V3jlYsLFXDDXirtXC+5NRaMICCrPlos5gMY5t6CMpH8X7hmkINtaP8G1k05s7tbM4RBjd7VokDqjZ7vN2/r5Rqk7HgScoYV2YyIyzhtHlpUwjg7ZdqCvhhzzuk1659q9X9a+ScF7Y702IqScHunf40KPz0jeMrGrZSqj88UA2kk/UpQYEIyAaxXSXj1GGpplXXd7MVpu8TWZbth7vwIbrA35neosb/YM6lbnnvOkq5yi/mfl0xLbC225agTopSKs8tzEelaAAoMWm/PgNrd0ulQXnAzJ4caAzMkQfDdMxfHp37uLk1snGFVakayOLfhjgkgls6KmrM1opyCiDt3kXU6Dq2WiKqmw5Ii5ezXjC/eu8Or5hFcf7LC7XHB1MeG1Fx94HXeeO8N7nzpBToTbJwMG9eg/G7MmDrPNX2xPCW2dWPj99eYn6kTr+z6zqJT9hG+h/K2OtTNpJx0arddPHptKMvTPQ8mE9yIa0u1w4GmSqUXmjvcnAqhMLpmaujSONaY77rpq6lVXF1dH/IFi3LFWdj0+u/+QGvEtEx1tLjeIbAdJe/YVYB9CS1Dv6LyRzTOPDgg45ERpDMjK2Hej6IRop/rKEozQ0V0rG5AxDWOKhAOMKLRvxm6qS4eqsT6OhzZ8ZZoxhhgQpIrQVHtBae/F3FPDAU2CgkkS3JVp89KG4tqvgF6TWG2tfK/WE7XYh++c+n2J0BnvYx6UMVsoGHE4je+22FvgiDM/iKBJKjKfUucmEW5vMrZDxjOnG9w5G7EZsvdj3Dafl2HMuJjaejgbswIBFuQEbLVfYpwPJ3ZVpy4uVbXnY4wxjiF+z3Xu1HgRqBBRVhb5WTZXm+j+/TD1lKnZmnTXysU119984EBk94aNP65vz3sfbC0uu7tUwh4Sx+8Lbcm7UNClEUBjah67zuYO16sWOzKXG0NN1RBRIZbLu4s7ptcJcMfAhzkYdid+9eeQuEg4aM8wFYXZQMqq3TV5DQGmvHfAVOYUs0QuddVHbmHGu+thE4uQbJFO+pZS2NjWqLem/4/H6eRtH1Ihkp4iKze0mKkr7P4Wor3d36lh9KQrIfdnD41i8bmmwp4ozNTbS/g9DtMCWlo+FD+p22ZGrW1DZxVmT/x192LGtBRsTwdstrLZlVJByug+8uwtPHtrg1uj+FHtSnUmsyhs2p6OQYXNhlJ13FPpw8FYnC1R0YU5VinCUwaE63Eezf4SN3lXaQbUYCR7B1qiPATn1hVTQpCKVjG9PH6ZznGMYB3RiR5ahghrYIFD1IMDr6kOIxnQJdqVPEYZIXjxD28I0HkrdFSL3SDyjYHgtooYQsXJROzV/YdO5wdZQjAgrn1g1ht21/IKLmz3NgaETu1Qw8vQfE/Q+RqY5GOnzV4913TUhMBAdTOPYfmd3sgHYAXlxuoUaUEtjUy33jGtqM7j5mHuCaW49vYELTvXiu2p9NdsOFbGIiPPtUkxdnKfCncnZ4O2WuZC33D10cWyRleKIb5zNuKZW1tcPZAcN8MmI+eEeVdw99VL/PaL9/GF1y4wV8bdnRwI5iLqWonKvPJT4ZbG2Mbjkkdo35awLuuOItzbsm26P5FL6+1ZmTTQqWQP2c5gEs/iiDIAHbPxspoPZ08VzbVTx63BBzYHrXxLK8DMWMNoSsec2FVgXVBK/aTw3Wx4rtG4FsmFbpxB/wZ76NPKmZGCh36zI1helSgxGBVu+Vjc4VHv69a5eb375qrtAQfzqADYU4sRgv5YyV8WZVqJJD8L54349BsDiSdbtMgElodFNnn1lDdpBVFdIB7UXYA/64tFv60LctoAOBSMsKkg7V4z2GcP364nTm4RBiynCqMFM8wkHtVlru5wZgEWre41eRpiMAaF924yKdNoMN9BnRTLbOpDuP1obXsR50sbnqLhqMUFGxPh/GrBC3cvscwF066gqu/NtBNpZjcVnD4l6rttbnDYuVbcTpK/ZNIKrd+283b5VAggfcYVtCdJ+2mcCGOGHlr6pyTSInzj5ZSRVJJJxLI+ZFYEEOHADrjUKm00xiPrUgKKgsPhi9Le+c2eXQRNABYJQu7PRKg6juqSSwUFJl9ZUYCkOYDQ5lVC5QRUqNYbPfsTrXy0rosIjxXM+FHoBjMXRQFVCakCkpfGXq4hEZjEm9o90wEPBmm2GoblSpEF2uW0UJgs7HCuxkELJmkbv31aaJakATM9cCS1cDAA/G/7zInAdV8SMeLQDwuGyJSRWPrvfQuncNnImnRmm4j3Y3XtkOpgnabZo1iFl7kFDh1l/GlEnSXg5MmgMd1ylueyYpQAUNIIqozF5iGJoeQ3X7iP7emI06Gp+UaFwpqajFleAMs3D4jkYsby6GgHwJOGiRe7REa2oJXsG5hKjHr9cipY5gquomq9/dQJTs5GnN3a4HTTmGhlxlZD7t/aiEHfGJVIT43BGbrNIjK7ZAVl2KqJjA6i9txLZeSckamqjalJuPI8qNv4/ZCfBlTKSGprGTM1xgNhpjZ2goAHwCwG9CqfFmKlQtqt+uzcJrna+JNeyyANAdTsQqMeDmyMYyaNvtCf6ywckPVVUiSrao1C0jHW0DmhzmTv9TXR4+R9/yh0s1jpikjFd/fhMDsILGBldTuALYvo9d6pIuqiyZ24sy3EAH3N+S+kPj4gckd9dRdFOBjELUS/S1tothT7O6rH2E6YdvINdiWrzygFvbuNLfbDdOP2G1G7b03r/g+pgRHifFKZZa7VkGze9N4/DkEQOfh0sJQfrA9lRibCH/yaJzHtFlwureys6jAJrdLC0Ztu3xBldgqXeWyqGAtnn9CHfmEvJ5vsyZBwvltwuhFfl83pgJNbI7anA6bLBctccffVS38Wr11MeOF8h7tXC8aUMC09isviiC1qYzGflBLGY/0waLWrFNHG0SQt+Yx+PdUkD7YI0XZf71xaoxrNUhBTn347zpVRFwXAc6sEgAvgDo7WhhysSKNLUENThrmJ/RnVQuUHGMDfU4uEndByyzhIwJiiB21t7V6XWkycKI8G/RtDzOiMk2uVisSwWt0TNnUCOqO5nBqD1zm3F9+jARzwObHQLDHU/aHfYpm2KU/+nW1QgQEa7TGyle1nHSom9jG2W3STj7Yjm6NizM7mL9Qpee6HLhJyZy8g6kAHFgcsUlWEnse00vmPRn9LonZ/WnDvS18KoempM3IzC7rL1FssXfA+qRYOmUSKrYxOp2+bNXNTMGWCQ4CfPBF150eevQUA2F0uWKaKqwcTLs93AIBzNfgDwHNnG1zOBf/v3Uu89GCHlx5MuCoV51PFzpxASdRjxvDc7hT6Ee1AjmwDOkYT50HsN4ygcXMGanYx1vVh0YQBuN+RPd+99sgiSe8n4opggTifnAY/XNgBwu5PZW6SETVmnqgxOYNa23oweyNgzEL7EQz5MRzNGn7t0tQ1QJFJ1WJHD/0bQf1GLlFQZeOP19a0h35ZQR67U3wwWHocLd38XFVEze/F0pzGftgG+jCp4JANpMtqGcq6Wkvbi+06A6HeUdPIJANRYbXcN5ZeOIbRITQpxpjSJieHRPu9HNSMaJKK+YwAwbiaqAUYjBBWbX+BOFhaOtsP3znFdHEXV6UZ7t2uoGMxJFmChlrxftictblLJCdu30CZ3c/CpAVALE4nQ8KiOi1x4iRsthnjNuP0iY343cwFtVRcTBIm5sXzHbaDxBjbDglPKLrM+jUViXWV0PuREJEj4Exiac+8SVXyjNrmLDBnvcesKS7ZtO9W1vK5MNqmzqu15MFZV0RxfcBUVPq3/jaqnaVSfGfg6+Lgu2hMRn1ggCa5rX1n2k1J1XJwBhTRYjHa9Ir/vWM6Bq68oWTQ4C6PSWAk8VS9VvXEfCasJ6EGmW2/RYN4bMNO4yWoqixwZZQu5Hr7u/sMIASEvq0//fS3Cq8RJSq2/oY0tBXUohiUqYWdsfSzQb1l/V9LZwIzbdKGqMEsl4aOhTKmwmrwb3GlLK1ud9LU8ZpaLFNTubx8MWE8uY1RNxuiBj12G4VuclORYJMWKXmussFYiHtDVcWTekSoGWDAwr/c3xUkhRtPS8XJrREX5xPmXcHuUuZ7mfucNk9s5bCxWypGDc2eiSQsDMRetMnksdIMTg20SMnyG3UGaWH0Fvi0OUoutTlRGo8wKWYdR43tmetzW0cmWD8PQku+Rlw7taOsudJJCPaeUF1a+0HyKOGdtPtjGBhD8SWwQ7atvahKdYbCJbxXvVTDoQ07LF0fWiw/0r/HhY7MBfpSqPd8PPGzoVpUDbNGkazVW/HET7FMPD2tFyrXLoCm1ZlXdTeJpoEGGO1k1gX/C2o0G0dMaIZwH9CfdtsplHxMbrtJuTPes5bPRC5BRGltL4NlQAm5Pn51skyKY7Ic8GazAuCe3ZWySyIckHgxUOHFXMCWFAqBQWi/4wHxdEyStpfMSNxC3PtpHr1azE71cZNNWu8zp6MwgyHh9nbAtCu49eQWZIbipAEXlfmUytgtFfd2Eh9urhUJhJzETpRAmNTe4o6dlbFbLci1xBU38Pgbq8qPw3f/jfoI0F42Dah57CQWUmZ8KLHWgOpSqn162Jo1CtLWct50jDtSREpyyiAizNykjPg8DUodocxM1NS4KTv4xVRwUeo6BIF+x0Q42lxuDrWHuN7IfUGGQHhSDnu6fVdvBVsD0DbevXD81p4xAA3NYozNAAEGNlgjwDIJsojK5PadLhy89q1LnRyY5viQsgCckQLN1mNjim2IP8IqrMeqH4QmFUVmy2zz0tRi1rjtKTEa7iaT+7IYAzWDeia4Edb15dr/5842uPX812gYGRn3oNJERIJJci81lLPVK6qmOaC1cgooKu2/560neF4Yc34EgNsnAy7ngmFMyKpLX6YCSoTt6YicEzaD/DN6YpNdcjG0GBFwOkj6ZwMbWC6aRCsnUmciyvS0/zbfRCHlQNjErYwnAEOzvcSUwGuKqSCM1gcKs28A7a3roggEcMieX4utFQ2Z7/YYs2+GcXqUZG23ywFkHFTrFwdV6iNHcIOguxRzTTYXgyIfbS43gjioA3RDX0kKqcwuebRTT7OxEJpazDb7zo6iRNxC6JuYHzdlq9tCe/h9qjKKBv32Y7A7MPaYWz/UnrkdSkts9djYc2ROiA5pTa1m4wfQkGhmL4p91DwuPSINjsQzlZPdb6qNvFLxNGmtZ5AENKSftvEHnruFu1/8HZxPFbNCqs3Gsk3A6UBurLc6SpU8MFEFGsfPdlL2TYia57yOaTsQxiRRkSd1prTozCkRzp4QCWZ3OWPSZGLTIoCH0zHj1csZF3NRSYsdiBAjCJTKmCp3TMX6YNkljcFZSJtop7FPU4v1KazJPyvDs3auk2aZ02K0nQDoDjQHprFHWEY1FJSR7HtJOUOJfSQ9ZMU+m7rMs3WaSpX7NeMggaAeK8xu7zFwAGnd6/X29ohAKT3Sv8eFHp+RvGUi1/8zgJbIiztbCQDXIzOC3SLYSqQ6SZa1Rl4ZeX3GlA4k4vLTvfqcREZmbSOUmRUu3ElHfBjevLbTHKIIX46xxNYAgcgkTIKLCLnYRlF12lz324/qmDf09Ac83AfQNgdnSqEeAz/88gv3sFye4/YmYUzwNMQVsmFcFW7xuRL8M2Z6bCFX+CDDobBpR8lsVySfS6mMjzx7hmFMmHYLlkmkmGUqmC4XcAWevb3F/SuZu/NpwZ2TASeDqJCY4SFrShXVTYMhSx9tXk39NxCaTxZ6xhETgUUVoUlA3dgUtdVFQnDbXXi+dR+FGNejB6dcqc5M4onSJqk9xIzsIkm1etoBjTv4ua0HQ4vZOqhsknmzy3hbQDvQ6HdTyVoiMta21iH+3w4R4Rj+5aaRJ82Kqq01WoyagbWpcXq0FWDObb1KoG+stvLhM+qdAbjviKPEVPIxCWbtc9IFy1ypL2w860CcUVVlFJFqKdpRVkTc6cCbTgAAIABJREFU8pC7VGbS3ar97P3fZ1ImjXX9cJVZY1KugrMNcaWujOH8jdm9dH+HkzvPaztw9UkmUglG7jVpwNLmXoUoyVE9Z5BlIvKowszNP8SYz4NZQubvNNvkb794Hxf3dri4J/DjB/d2mC4XbE4HlFLx2S/dxxMnA86dwRQfa2Vx9qxgbHJSwID1CW4bs7hmQJM0jMEATWIzlJbZUWQ+4OOIcOUFveTBlHyOg6++/wZtzwO7WhTj1fM1aciM9ZnQ2Q/NngbA77c2os9NZbjkFCHEpvasFvkitG92lUrZJWCz09l3trVAvdrwndPNSxZ2oz30iQAGuSewxKzKQNWwL1wA6uHE2crYSxwWv1H0iAfk5UkgN1jKxdrpx5kyMjfpAdon8Z0JNhfXQ1QxQtcqfST1eq8FnEe32ZCpBIIkZPcnyrDIAns+PgSgagiOMC7bBIAWWcD5lY4VqtJi9GE+unS2OhYqFSll99AHF4w5AXNTNckmYGo0O1U3GG0HsKGEgSSMfVkm7Yc4ZZZiqkcx1huCzDZWIlXFUTvNx7Av4ufRjL5TqWGz1+gKJMnC5qC2KqV6wEpKhDQkpESoS8uiWSqjVnZPd1GJSVsnuuGMamcyG5JEZmjqOjvcmOnaNtohSX4bs7n48wjTZhBe5hZB2up2+wj366Eq6AB64rfnlyl3YWQ4SAemolucgYjMYOFryFSVXOXNJP2NLAKGqbiaWo/DvZEaiMHkOP3OBXV1rhY1cGNqVAsWtDh375iIkMabtd0+PmzybRCz6OqjPePN1Ed2MgbaST9urma/ifaHtapACrdQ+0VFb5dKViqzdZ+7xFtWnYfppwb/5OadHOsziWndp6gSXOeud1sL4JBqj3AcTssxQoBFGvA2zd5kJ1VleBH+bfNC4eRoIU7ihlW5V2VIm/JZKuNLr1/h5M7zHpvrqogBeGNGfcAN+JNCkxOECY0pnIBDnZyyqNe0H5ucnDnMCggQWHPF1VLximabXCZhQrvLGcOYUZeKe69e6tQyLqaC9z55gidPWj6X7SBghk0WicnC/i86N2aDqRzXLHSuba2o3wYOe+hHic5UgETNvlTjc43zrhLcep3EyBMeXTmQqOnaenTVblCLHVJBPSzWlzt4Um/oN+ZQGB6xubObBBsqIEyyHihznXKLGPTzI/17XOixYS5E9O1E9FtE9Bki+uFHu6edxm1zW0OHI5MxA2GHLgubayxjCLIWnXh/qRojOYRWI95X9bDaLoypRWN/zaN7wa/hzTYOCht/g5PWXk2n/bLkXjFG2jr8S4cyA/YcPmPOGmtLrrf71uHbbQ4BNbKGuRU1iAAtchJE18Lq+4MWGZcBfOiZM1y+9iWpRyvZLRWXi6m9GqMuFZrt0cLmA5dL8/cplZsPE1pbtsmav0yprBKPOFI+dTYiJ8njwsxIiXBx7woP7l0gDwlpSAJHLvIsd0vFyxcTzqeCy7niwVwcxSbzpUb2ym6oN2mlRRboVUcP35gNhtwiLfvyI9pjRPL82Ddxs8fEdWJSbVIpQH5rzJ/Qw6TdeXIlEZtaTb70IBuE52Dzv147nRoMLX2DM8nVPT7W0FcLN3NdRDdQLfZYjISIMoC/A+A7AHwDgO8lom94s/tYxW1T57g/iKpd4oZrm4z7alDzaAfgRveWkrV/q21zj06Xa0rUEiAt3DbqaEi1JFsi8aD/TRkbW+DLQ6HRdVMwJJyrw1QCW9s33HlzdQr1cQSjaPTKZy0jGonWvsCnmwNhaz+egBtjiT4LSVUhEk9NskoOqL5BDqnN33tubXD12ouuQzc10iYTBoJLBMYYElSSUSZhkO24Mfrcqae+S2w694bsMgk0J8Izt7buSU+JMD24j+3pFlwZ0+WMnBOmpeLu5YzzKaST1inLqbVzuVSfl8ItZpoxlEUlsGJMc7XMIsy4Y0AKbIhIMpcuVszdbB02/ih927owmC+A5qAYyG0/QWq1w1AFdVKqrKs2zlIbynP9GhnTMOi0MazK4R7qn+shRJuP9yHv6dsiAlJKj/TvcaHHZSTfBOAzzPxZZp4A/DiA73qzmxJYVTXweFliyB4dXhxP5Ub9ptg7Ue61QUGSof2UqeaoaRtxRZNiouQjBn3qxHl7QTvHS61/t/RB/CyMOeum4C/dAWZnaLHo5+L91/qiVNWFerGTa5irqEKz+TTYdhtMDmo29iCQDhYIG1Y3fylrMMwGKyUALz2YUOYJ25z2fEEsLD2zeaork4F4udvpN5787RReWYzdPt4wTlO1bYeE3VLwiqY5nq8K8pCwTDO2T0hAzaLco5SKaSkOWwbEAXRX1K4UxjwqA4uhauK4PHMlNR8hQ5HZ/Fkk5aTXx9yeg43R5gjo0WamfjJElwfwXKHFjBED0ECi7WeyuWLsqX3tXYjSfwwrZH0EekYIND+ehhYrnUFeDmbtu3jvl65vsY/0JujFt0M3TXJ5XCxMHwDw+fD9CwC+eV2IiH4AwA8AwIc+9CHBy7M5R0qZyqz5ykN+l0Au9lc1RIdNlqHGyNqM3QD8ZJeCOokDX7f4Vi15WfKQ97Gsie1iCJ8B0uyAatCv1gZWRlE0KQ1oKB8jM6oym+qi+RD4yZ3Q0hNwcVUGcQWF6AZxXBZuHdzy4vhvHFBv1i9SYAMY24FUBaiNGzKpPUsfV2EgpYxSKsbEACQf/Z0Pfh2mUnEyiEc32JKEqVpJu2qb8MRAWj1wkTqMuSUwS7SGSftim9ugG/8Tm4SLWewm73/qBK8+2GFzOni5k1sjRg31cnJrxHufPsXHnr+Njz93S2OLjZhLxTZnnA4JQwJQ5SnqENwYngnu9S/zp5KVAQkqI+WGgIqndyJLeMbIYYc18IQFs7RI35yyrz9OGbUwokLTnpCAVuwZwwEeIuGG8P9Vo36njBZOP4BHQroGuz+BPFWCt0vBEB/XtWoPrMaq9xrUXOKlJQcb5EQd/DwZIvCaVGNER4P+Y03M/CPM/Elm/uTzzz3XRehF2PjNCHhIrbN2bAT6II+Wax1oKqt476F4X9KJvqz5D1g/rIypPKIPiqkWGL0Nw0P2l6nra0WTcGLKARy431K9TqV3/IyRCpj7fphaLDqhuipP5zz6jTAA1KKSlEoHIa9K4iIvJ5fuFFsYnhc+5lNniM/IcHLbpaikdVmEZDuRj7rZjJk8gOXa/mD32qkaWl+mVrboqXlRR8zCwN2LWTb4RJivCrgy5ivxcdldzT4Pr5xLBGTzvh9zwsmQVA3W+sGstiGELJKI6sh2eo/he4DGBKOkY3zJ5s5+kmet9wcJpBnelaHSAbUS74eCcemvnbekr3s+UrXzRylhXcs9KnGZNiHs+8YfHU69er9sjCaRcBgH1bKn9k1cfKzX4ecCOtpc/v9KXwTwofD9g3rtDWnPAU5DsXi8rLAB+0tsxu0gtptayk796w27a+OQ7wuCekuvxVAq1dR0ZgAFUIet17f2fo/UQZuBrg25f+VNjyZVSMRi7Q8Fg7w5dyIa6Xv/HQpjbbHBmsOph7q3RFHBP6ZUyRjZTZOenu1+y70icw23ywCysd7fLViuzp3RmRRUdXyjosSuFqnnamE15B/eSCwpmKi/emlh/bepxk43GbdPRpw9ucXmVOYsaaiXYcwoiyQT++Azp9gtFbulYi7St7lWN0Tn1HvcOxQ5tBftEvHTkohFpmhz7GgwZZKWidIcOGNeF/Fzaf4hCJ9r9JUxNrOX2WckkUibvTPaFu03l3zQ7o88gFXyMobWqU0N/an+Lh5NoHMZ0HHouNZ9c6DNAdTmWya6eWqxx2UkvwjgE0T0tUS0AfA9AH7izW6KqqKYAAto0oidyu0ar0/8SrFMRFm9ERkwoIsDpnWbXYeALokZ0ELTxHYBZWChT9Hhc82A3FlSk2tFmLCpxTwK8brfxlDiOAKtbTh7KQBWEGkrHXX/u4Wb2olSp/5gIo/lJc5uYgcxNcZUaieVVoZHWU5ojCKTQX0b+stCrjPgHvweMRm1SVA6RxGtNFfubBS3TwZcqpH+/PUrXD24wP1XzwFIfhdSyPPdC8lVMmaF9zLj/q6gghWCLP2W2GhStzGHqswjwobNqG/zZ1LV+nRu5AZ99Bu0hcax2yKaCgibO4K9MYBZany/wloy6cpvCTmRnGEZU3pIf23eDwWZlINNn0/GohPEbLORBL3Wj881Em/yHj8q3TQP/cdCCcjMCxH9FQCfApAB/Cgz//qb3KUfNdg0ev0/1RlIcvJZv1SpLkDa7J3Ou78PnXjMMVJ9QMi+w9BKzZ4jDpJpz56x1k9bfSllmJ9LzhlUqjPNirR3koj7vTuQsvRjSMZ4Bp8PMLyv3UwyQHHMoV4rb322egB1wqszSG1HYu+S9MHboTEay5VuFcuGIYb6VGbsOOMkMSyADhHhdMzYPPGMG7kXlQAkuCS7k6RtjmKErx5yn6CIMusDS+ypBN1wWObE1FMbDR1TKuFszBjTgmmpuHO6wTBmPPPe21jmUwzq8ZmGBK6QyMknA545GV0qzSR12N82pphDxpRP5pNTSpNsMllMMnbnTp9LfS429sLARm1alQGLoZnAOGTStkOBRYEmPZiwQQ/UzrfewA1EYHUDstEvpWJIyW2SzniSOk9Gu6H220Pc2EGAEkqpbjsqDAzaR2hZS2nsqrCwjogNHdiykFrq4+siQQs+PozjUeixGS0z/xQzfx0z/wvM/B89yj17joFeWQ1w36ijpr20vqaqMd2wSSHt9Mad74dljoynoRi+ZX3q59A3s2tYP/Z12wrTDWqweHrcS3Rmm/xKAos55a0tU/PF6LHGQ7p4bAE9tg4EumdnWtHadpBVvWYway9DzXnRoyGgoZ0yAe+7vcXpE7ccnpsT+WIXm0WcB/aEW60v+hsswRh1uU6AxpwbIsvKy4ZuaY4BYNotuDifsLuacXUxoy4V4zbj7sWMaam40qRi1q/TUTbaIQEVmqcErb2EZkdyFRYaDNzgyTYijxagMF8iwiYnV61F5tXFcetOVfvPzeaJ0K9V+y3a8HzqTM1aS3t2uq4MSBAhzAzsqbM8JhhpEjkil06sDQrryaWStR1Ur0Xfr07Auy61GI5qsRtEPRTWYMK2rqI9pvPe19OVSSDNa3xoZdBearPBePKscMJfq8MsplfrVIum7H3Evh3FfjMmGdMzt4x71I1jjXKLuWu83ytfHlN5dFkJQzw21j7bBud2GDXWrz3919SYU/N1sQ3GYmM1SHNjYAR7HlqWgV/6/Ou496Xfc9VXm+MW6sSYDgCcDOQbpBGhbZqu/tF2Y5Rkgyy39tmh4KUyaqmohbHZDuAKjFuBXTMz3vPkFqcaZt9sQdsh+fOznC1xozQvffsbaMCEpNcZ8MOOnfiNqdjmHNMGc/jbVJA2Hrm3ttw59rw621NvZ3MbicX4UjUXobdxrNcBE4V3J5QJNhcbh9/jccz6kD3W72i+45Q7ZtElVmP2+y3N8rURCVrsUf49LnSDmQu7fwmjnbBk8Q+O+jLjvd8VUGJyYX/DdON8tHHodU6DB8sziracGI7f7DrrTd4kpmY4DcACNADAXoiYwDjiNffmP3CPjdkSPtlG7mi1uqifydL3J7THefQxxzTHRADs9Op2IanDNrsxCdrNfFmi5OLPKmyC9pkTYXvneTVONwYAyIY/q81iKiIRTEXC2DdpDG53mUvT11sblt/FmNNSGbtScTkzXri/w93dgs++9ABfvn+Fi/MJlER6KYvEGNtsB2y3Ay4mQSrd3c24mCsu5oLzSULubzJ5OmLzy4nBJW2cRC0ApyOqtMwcTvgxcOUhWhv9nSH5WmGPhmBkDChCy/uoDEHSQ1OrGZOBrpO107Gpx9Z5ZASUQV6mq/uApOMHKvTJwqxMInggS8vv4gg9K/uQXDZvhYgIKedH+ve40A1mLvuxjzy3iBHXzujvl8Pnofz2UY1kBv6oMujCt69UXrYpR4imQ4p1A6/MSMuuZzyAx2myTXgPEq1tdCmYA3O0qAAx3bLPy4E+2xUDH3RSThxbmTu1jN1bKoPz6NBqmbuCy4XdkbGwJFRbau/wSWThRlrYF6unMvCpX/wCPvaN70VWm8Sk0GZCU5ExM7bqkOgHA7SYY9Cyp2PyTdn7r5v97LYOUe3MVcZxORdczgUXU8HVgxnzVfF1wpWF0Sj67PbJgPff3uLp0xEffPIET5+MDol2p8gAYvDnQg0xNqRmHyJoSBgS5lwDUxKfKo2ggCalADIWi+PWnqvYqCLgxeT7NfzbDkadQV+fhyH8bF2wPmuTdiMDs/QIgNjUIrOw+TYABkI9pBKvtSv1SVumMqPQNzP6O0yZ2ppuacD7PDbvhK5LLUZEHyKif0RE/4yIfp2IflCvP0NEP01Ev62fT19Lx98m3WDmImRQWAv/MqYQKylvmuMZ2onIygMA540ET+TmQRy91k29ZKJ9POFb+xzqi+U9yyW1zJReJkCXO9gwGqNaZ4s0yWEIklOUVHJqKYy7mFEqbZFCpDsVSS37zNXmLKQ+tj4eQtF1/DxlnA7Uveixb2bgx+o3lyL0Gf6pf+mDeOkL9zSQJONUAQLR495C1ZtRfNSN+UQnkiAb+1LZ2/DkYiTfN7lJM5UZV4vMfU6Ep05HXE4Fy6yIpSEhazwxM+x/4r1P4HIqmKuoxMZMns9l1P6ZWq5wnyO+5XbhBks2xsAtqGWiplYzCWYIxn3z3B9zkBxJIyNzm1c76VuyLmPsXUgVW7tWT8p9ZGm9Fp/gOtGdSalj6t8dSy9gKD3mBhuOayGmLI6Sy14qZH2+XSIxm5M8XrNa7FptLguAf5eZvwHAtwD4yxru6ocB/AwzfwLAz+j3d41uNHOJoSselvDIDvCy0YTyZXK1UEVT9XQZG9dG+0eANHbhNkwCohZluXBT5xm5LSjUEw3vXib071DoDeamJmNuKkCqS4uZpp8Oj05Zvfd7Cc5OpFG6iomfevbQ+kjez96waqdRM0jHTTZutjZnH3r6FEk3aACYgsQRYbxLZTyYWw4XeQZ9u2R1H9DDL/68Zc6f2DRmfX8natXNdkAaEqbLGctUUJeKugij/uJrFwCArYbpv78ruFoqdgt3EsCQye0xEXjAaHYVIMC5jTn4deydwAlNorF5ifPZUYS8hzUag1O6JGm3MHdtRrWY1NPevXVoFg8ZhJYULqLejDpI80pd7X1UYz+vyrnEs1LJdbaea6Pry0TJzC8w8y/r3/cB/AYkSsl3AfgxLfZjAP7ctQ7hLdLjYz16G8Qc7CQrPHuEzK4dFIUpNVitbK7V7QYGU/XgEwFuXPOIWnt4rkEuExnyTKDE1gbVGSmNAKPb+K1uPSv6yXH9G1NGYoCROgZgYV8OHdG6MDgk+WgMIh3Lr+1DBieNbXionFV+F8vnYjDmRC0UvoWLl42+CvTaxwP3SREVYGoQXQ058/KDCcmN3Agw39A+yW9R+uDwG1OLL+Ynf9izSn6qN9WKSS6FJXXx6ShosbJUXF1MyDnh7M4WOScMY8bpJuNjz9/GB+6cYq6Ms5HwxFbuGTJckpKoDNg7eRtEmghQbZwHtPQ5TAmZ1GaUs3POUvuwL4BKDEElKKuDXV8UfUTWG7D5RknE6rHVY+8Rt1wwltfVJfSwXpcw1/E5QaHyFq7Fqu7QamTsCw6tpyowfArGJh+HvXt6fzw8uPqMrscGQiq5PCI9R0SfDt9/hJl/5HC99FEAfwjALwB4LzO/oD99CcB7315vr4duMHMxna1srqabrUhIa6O2+jXYhmuxwIB24jeVjzMMZTgVCZkXpDTK5lqLMBFTNxw4Dcc67XusF2h1J2hsMWVOMbYX1QWVBgwyWvXjaUZU+zsyUqPo15L6d136pHHXZN4yLE6U3ePqBe79Ypjh8aJsHqNUlyCG7LmS+xxIPUDV+c2qjoECGwag86MAgK9//jY+/2v/F0r9YyBKrsvPmVR10g84J9JkbbIROISZGuTXN0WNrVXDad/UbCdDwnNnIy7/P/bePdi2Lb0L+n1jzrn23udxz310mjTdeZJUY1CoJDxKEC0JVBoKQV6aIFaCSAqLFEFKgYBaaBkF5SGlxJiqxIoIFaI80mgkgIRABEJawGAnBNtOMN0EOt333nPvuWfvvdaa4/OP7/t94xtjrX3Ovvdu0uf0YVTtWnvNNed4zTHG9/59uxM8uNjjpTsbvPz8KeZNwbpXvP7yOaQIbj93Arx0hh+7f4F7txa84/Ym6rmzmVA25lRyOjtqc+oHx0n3Y3tfRgzNfqQRWEn12NTO1s7wzXuyDYuLgd+79e7XapLyZmkSd0ipPMwTUVHQzoOOAQlcPPQEhHWr35OfoTpwrYp5bq7pxe+vbsubuL6OFMayREyLx9SEBJbsOm+7yJvCFvu4qv7Mx1cpdwD8SQC/VVVf6zzoVFVkWOQ/weUZVouliG+0g5weL4xQH+NOgGZXsWoOufFQpyWbxVioYrKe2CFtBkmNOkc3ZaqFABzWOaieDkY7bJJjfRJBc0ke2s3Xwr7kdhQSQnFdd45z6bzDWI/PyyyHUqGK9EbboX/Fuc6QJBwXStN3BfDDrzzErZfejer17CtRi62ulv/Evuc89dYW3XUZS9LWClU9hPG3c7SBYS4eFHi+XfHqwx1ef/ncjPqXe8zLhHsv3cLt507wiVfOTW02Fzx3uuDuZsKtxXDFON/0aqvaEACoqqNXWHY0yOt1jNshp585/pDYhnUeqq5g5UtHnIr0KtZoiQwR5y1B9lifGYskrY/J05Eu0Nkzj1JJHhuJSDSb2hR/R5SKDkBYVZtzRRpjeK+l8d9YEYGU6Vp/16tOFhhh+WOq+qf88j8WkXf57+8C8LGbHMKbLc8wcWneUbYYE8Zr6ILdvdIDH00/W4Njp0dXNqIScLLztkrAkbwvu0CPhEPWbW/zGIjMWrUFY6Y+q38eJOBKtqPqB230jXYdJLDM9DtdWfO1iPrX3qNNtY01u/1yzOHi7XO393msqhELwwyCBRY13wVfpniZIk0Xr/6uMrF++cEWt1+4F+CSRmQaMdk7129G/YSzhaaCmkvzKNwlmh39yQRXCDsD/NiDS1y6TeXu6Yx3vPsuTs4W3Hn+FGd3N5jmguVkxme/6y4Awt3YAbuUkoirETAespvk5RZEb+hHJigjBA7Qx4mI93uRpPaLk9ZTUbA6rQ3MUcxrq1CCHNrIc0P3Za5PZoXcVYcXqskWF67yjcjw/dLGl+1rkzTvuS4oFk0TkddHk8x8D9Y2HhIZrosYxw16i6FM1/t7TBEb9DcB+EFV/YPpp/cD+Ar//ysAfPvNdPytlWeauGTvKJ02wf0320ntuPHJdfrB4ad6AARndhDnMnLzyejKAEudNo2b8mRfI+cPNO493882xD/NNkE1gcRz7Cvh+NlWBpyMOByva0rjD8BKbcGgo0ca6yvSVIWRDMrjhhhY13mQ+abSMuF0log9oUNAkab/Zrpd6uLJ2dr7tHt+9me9gDdeuR+BmJzzbNDfrg3GhBIL1U5UizEAk8nFAPckUo3YEsDuX9xW8pNub3DvZMa7XzzDi7dPcPHGDpuzGfudISPvtyvOH2zxY69eAADOt0Y0d1XxekoYRhU9CTzTMdMFmWom2n6Q/ifhZMnR9wRxVL++d8lHYAwXQUKpSuO6yvEeY5yPpDlsXoz2fphtUtCkB9rLxrWTPbfCMy3dQ8KTY3JUc9sIT0syjYI+NiYHarb+2H/0BuxALW8gzgUQoJTr/T2+/DwA/yaAXyAif8f/fgmA3wvgF4nI/wPgF/r3T1p5pm0ugEsOZTEcMSAM57SvZI5fASxowVa0S3ADxkFe90BZkD1WiP91DBV5kgmyXgLTSbusTXWWX5KBDErYU0qqx+xH1dCdISjJVkMcs3g+6blpu6komOoW+7IJ4mr2oTXsOpCpV6kllRdkap9+jWJ+NvYTTyxcuJPtx6STElw7AMhqOG40LocRP80LcaJYHu5W3Lr3XMc9EcbF3I6baob2Bh7aazqoqhpu2BrroB1ugmbsn6UZ3i8czmXrmSP3uxX7XYUUYDmZsTmZsL1cse4r7pwYMX/uZMa9kxm3limIivhBaeo3G111ldYevWRF1ZmZD5rIwQO9j48B1lUdCNNQISYf42aSkGwpFWWNGVVGlq2yHc6UXGa091md+lVVTHULlE1b37FmikmvbpvEGPgb+F9m0zOJx2w+TMkwF5t3qurorr5WxZxseRW29uq0dM4slK5mMQk3xogkyb3dIoDcUICkqn4P2tSP5UtupJEbKM+w5JLUBxTtE1R+lgro8z6qzw4CDQej5hgKrdxIqp0dgiqjHOXc9VQbbheAkJwYc8J+qI+hBSRmLrilCTg+HT1k/jjGzgakDW9pzBXDwjqYifLYuBqWkyZJakoR9dqp03ivMDBv6H9VdCoMKS2OpfjBAdhr2dV2IBKoU9WcAgjIKD6nWf2THQwoofE6ud5lEpx6+uK1Km49d4LnP+0W7tw7g1a1g3EqeNeLZ2FzWaaChzumf062kDzEPKdDocGfqr+MlhAOAdAuTifXxbGHymw8VFNwLuF3croG6eam1Uk0ZMY8kYGYhnXYoUYgoQAM8Sqjc0l2IQ9VHOB9bXUzGLROixOTNr4YRwoOzvE+N5IwTASYN9f7+xQpzzBxaZHlsXR4+A22jrK/7NiEY0b+XBoEhmCMWzlIC5wIQRHpCE3OldIteEVn62GbAkDW3QExykB/sfGTmk7RE6KcD52f4/M5t0vntOBtj0CX45xF0jP/H8r4Hbs2FUR8yUHQpTTvoDy3ubxwuuC5F84sw6SLHZSEChSL189AQcK48/DlwWTu0M0ms0uqMNog6HjAvCq3lgkvnC0420x4590TbE5mrHuTYOZlwjQXvPsn3ca9Wxvc2kx48WyT1HIaQZQbV2FWteRp1lZzfwZ64jPaPNTfQ04wt+ohN55lwOaStgkZAAAgAElEQVQYsY/68trf+ftgDEtVxBruDPggQ2OHPIFWW+xK6kNeH97HAKFMa7Cm92DqTJNSZkFHGEnw2rxYjBKDM8MBIdny4M+wV2XdNcP+DUgvcoNxLk9L+dQZyZsuvccItHacebecBhUM0A7l8eAcN0/WF/M5IB2GyS4TOFDr9kDCEKBBYeTnYjitz6MdJDJCdv1v488bjd85jhFIM+Ysq8O8z8e2YGfDSvWYi29/kDcVJKJtSlyS3xWaV1BccyM/ifRf+5GXMW/soDtb+rmqMDiYIkZw5mLR6asqLtfmjKAwwrfw8CIOGg9TmYIoFRGcToK7mwm3NxNO5oLnTxfcOZ3x/J0NTm8vODmbcXp7wd3bBmezcf3Xw93qcS6TETI0r7XJVXWzp2ImzEuRZmcQaUnEGCyoaQ6zWiwHTYbHHMjsoLuHkpARpNqtOcnvTkrDd9tf2u/M7iilI3r5/Wl6Lq7LFLaakqVlPq8N1bldrEd1RHQWGPdyVuWuThDz8+OevZEiuDGD/tNSnmHigogsF8AICGEoVLtofAxiPBcrn8uH9FG1E4mTL9gcUZ8JAY2RoyogYFjy8+wL7yXUSu73eE/WZyf1XHY+yJIV1Xua+tq1PYxxnI8Dd+fkIMGutuclETQeanpInP2T0C2U2JiRktlE3/vOO7j/8YfhGGDz1qYIsENzV91NWRvEP9AM3MwFAzRiEogJaAbtXVXsKnC+r3j1fI/7F/swzq/VpJbL8z12l3ucb1c8uNjj5Tcu8erDHaoqHlzucf/SHB+2+5bC+Hxf4QDL2HtfKYnQNmIOCv5MGoON2VNO+7x3MDBpPujIwIPbwE/RuS0DfSBnEBsnBEWaJBtzoz0qMQsJRwfVUuYOr4zXgCa9Ux1n15rqLANqtvfcGq4gRlq6Ni3hWJDVYtbuFBL9gfflWyryT4nLs1OGFe8uvHZAtsOxqoMrJrE967O7KoA4jDORyGJ4HJS15YM38bse6KEPIF5Sr3N6gE4CSdfGDJD83tlvkurtYIaSlEVvL9Ybh/oVHF4GzszqRjoqKJparE8r0NxLTdWE7rcgXK6CqtNyBBXZn3eDd9WWbZHu4jandp2GcQJWijSPKzoAZCyxQMtOE06j+2ayKPt7ngDszKWYeZmwnLSD487pjLPNjM1czIVZgdO5BeLuqwbYJnlv4mZR2srgmoo+UJIqJD5T8xxpDZVZdwCnA5rqrFj2Ylkix/dBd2GWrJLlbxllWJC8/hJDk6XnrI6Tdds9b+8e0Uf4c0WaKpB9y3WbljojDEgjKqy7G4cHok5LSxvwNsuzphZ7pr3F1Bc/pQpGnduGaNkd6a0E9Nw478lR6IQ0KWUyTA6K9p1XVb8ZVxTMKdhLu/Yl6snloJ66h8rcSUdFWoY/1pt125m3aB47zdtH09xYlsyEFJBtNVOK9K9NTTgB8XxN/RDP4sn7baxOPN0TbOOR9Fo92VrZmKplyKg5eonxvbz3HXfwjp98F2dLweksWEmni2BG9Rgav39vKYaDWKNNNw/4IqZe3EdmTrRAQVs07tLs3lciKE4A9tWRj58/xXZfsa9qarOzBZ/23Ak+894ZXjxbcGuZcDoXVBhacxHLRbN4TAdVYt06QDoI3VZBDzCgEdLsiAA/aIsI9tX8o8Lor807iy7tq79DJmIj/E3D6NpDZI5g5CzRGkMyg9BDq6p5bMnceYsx86pJWe71iGISeRLEi5jH15rfQ5mAquHFR8cOrtMVBbMzI9BqKbGh3XsGcLAnVgXmm4pxEfmUkkquUz51yOSbLo2zsX9Sxrmkw42IeTRpgEF/B9wO0FyIk3QAtEM2bCNcaEd0y4GcfKSeqG+QPNoPPSEjR8jATeDQjkKo9OxoEBIK60QjrKK9SzWlNUp3BFLUMvdgnwmIk15ax8ZGzpXqqjqfhDpK05gzNz7asv6/++e4eLgLuJ4cBLlD6WJUsqdXGPKTbQMwQ756v/k5akDZBAnMbjU7ynteuIWX7pzgbDPjzumCd907w1otodjGgSh31XDJRFrk/8VaLULf54I5Z6gCq646G72ZKJUUMffaPFea1gFLqMLIbGkbKyHzZd22tSsEMG17KCSAtHe6etB7ZXJ9rNFGU4dlacjsj2mOO8rlLvaJAGQnF/5Lgsh6Z0pySapi3zmnV6nz3nIRgSyba/19qpRnmLg0wsGDfLQbHEDWe+mC/njvYA+RfC+S6oftaYOGEbSDe7R/TKlueuLkg/9YH6m26aD2sx489Y0EIKBZUp+zPYYJwWKsqW72J6u3WCdyH7M+Xhp8zOTzaf2xMVJdtdDDB82eQHsA56QqQnXB+TydC84fXEYcCvOjVDUD/VKa51fVBv9CyBeLmCe2mKSEZpwjRPBeTtVbBJidb7i1FHM7drXbx167wPnW3s2d0yWur1WxWyt2tUaU/3ZVnE4lYq2C+KEvEfTn75ZHO/tcIWFPYaCpxXk0VZGmdwL4NULlc8zpnbOeeMav833yHTO1Q3ZO4ArhHpjkiG0OSa3l7zPGJHnNS/RVYCo9rpncLtdweOShdyHP+41goQdOKG+7CG4wiPKpKJ86I3nTpYn0TJ41xrCMyba2a21cVlILVVVI8uTKtgZ6gMUzTHnMewdXYN7X4jlaP+j1taq22Bu2r33sh2ri5hmLotUNwqlubfE5LdmWBrQN+6+Jw5S6b/AzR+xCq2okLsv952/0Egr4HJcECf8CoB28bE8akaHXFlVVNEQHbAqAd94+wZ17ZwBMEiDRUJ+HVVtq4O59SMvbUrXBvkQaYH9n5iWWpCvVDujw1jLh3umCT797irunZlsBjGi9/MYlHlxYArXtvuITD82u8GC7GvxLrZaHJq2d1VVSEfToaixy6ocBldpx8UwZwPnL8S2R5sDfMd2M6SDQFpVLMdoSb63a1u52rU2yT+uavSBic94X3T1Je9BcgVuivWOwQhyPwlR6XFd8x3m/cgwBY5P2KSWyaCPtj6vw+t5UETxzBv1n2OYirr5pHHhWkWnmelxUNtiUwXOJzySpIjgxcksUtV0tJijhLGA2jtYrzXWm7+wrPajKugMkSTu1WmR3qG2SzSbVFzAogf6a1IKpH417YycQaqmR06TNiX1t6qSmLuEhImXjjgXH+ZoqE7QOhLLM0KrG1SX1DvPoNM62PfMjrz7EcjIFGKj678bpFshasVvN1rK40TsbtzMqso0RfdQ3VS5OhDL8CmCE6/XLPc49MPLOyYyX3vUc/sEn3sC77p3hbGOQ++fbFeste+bEAylvbybc2ZTUlzaHgEkcqxpaRMyvSycFnge+tEj7A7VSKfFkS77W1FIi3ogTkCjS27toe4ESHaAHKV3V5pqF0fMH9WCwfbD6q75rDaRrVbVUAtUDNnc1Ui0AgE6bZlvVptLlHVmSkmp7ivPV7Y+3XQy48lkqz7DkYqWLOkdbwNPAsYUeWXrXXQBH1WJcmPzsXJu9XdaTxf5RnSbefla3ZTyn6CLdqKXE8wfqqGzQRyMgxDgbx3XlxoqxohE+aR4/MQ6qykKt16vw8m9Ui9EgnedAy2QHf5ozSi6tszXumURwZzPj7NTgcTKRyMQuH14KBO4YjedF2j3L1AIC6dLLqaQEwSBMdcnhxbMFZ563hZLFp987w+uXe/zY/QusVXG2Mc+y07ng1mIxMlPpXY1P3HBCtd52TUGg0hMAqsHYn+w11r3C1P+co2XE9trHhCXu3e2Evfq2t31ljDpKINkhYbSd5LVn/eg9yfjJdjvbGPeGakijrGfEFrO+tUNe/XvWBrBPN6kUsw79U7XYM1JGvgjNbuBqiPCuGjxgKHZnziYbMgFEtDzLGNkexCwZFQ+CMTUFLaZn6TTQ7c/sjEB1GFVe6be8eYBerWYMbLvnwBU65qe2GIUDh4IeWoPPjei3VN1wrpDcShngWOBSGgPz0ngueOpJ6VCeAXs//+jBpdscECjCAnSqIx74PLQBdIdT1UbA16ph3wnVkbQDn+rKfSX0voTq54VbG3zacyd48c4GJ3PB3ZMZL93e4M7pjBdubQL2hX3PwsI8NYkoUi5LM+aPxvIsuai2QFn2m3MMIPrfMT3pPXBc7d02o3j+nteJDr9Z3xKx8N9IiEg4OFfHHDyAvg2up3CFRi9Z5j5xnxRdm4uzq9Fi77pzTiAxs5mjPXmLRQpk3lzr71OlPMPExTdtMkxnV10apEfuNjxKPGjvyqh+AAEeOGwMFh7qmVNj6SSNIxtOYoO1QEerXztJJ7dFKWW0g0TXuPm651J/VEOvnt2UM1QNkvSV+z0PnLO5vko3b23u/Tua11m2eUAKltIORmKs5fLed9z2GJI2D9krjN83U3Hngqbiom2A7rnUwz8KBkQEHbryZhLcO5mxeBT+g4t9SCqf/vwpNnOJCP07nhp5mQQFEtksKaWotmyZdDDoVTcNtqbBpThyAFIStbTWAQTsTcZzG9eapGe5VjPhOMwDc7gPSEhIDINIo+2p2AOaUk9cUZ/1S0ItRscAGdYPgFjnWiZ3W56PohyT6LULN2Bn6TqMfyq5PEuFh2zmxvNvx9RC4VHCjcaSXC6vNABKOZ6kC4ebKBtFO7tIdMTVDEkasINXDiStTAAzuCbVWePhnsfaj7HB9R8bI4kNXZGPlWMeOAIAHhEdElX0yceWbVlHxjb+dmuZ8PytDTZTw+eq2nLeD4gwUFiUfXEiQZVTVXPnZfBk7/bcwBGDMLtDwH4F7l/ucblf8cpDc3742GuXON+ulgJ5Y2rAqgbV/8KpxbmczGKxOWELMnsQOfuGCNAkK+ayycQhQEHRuPtOgn0Eoewx6x7Nv9MrMZqQHu4Fw/VMBLLtI++dsF+hV489quxrk9D5HOdD0EtkMoQRtL3Tr/ebVIsJBDJN1/r7VCmfFOIiIr9GRD4oIlVEfubw29eKyIdE5IdE5EvT9ff5tQ+JyO9M1z9HRL7Xr/8JEXlzcmWWDrj5Rs7Gr1OaYZxLE8m1P4gPVEXHVU0H3BIaNx/dQ9Mbd1yl9D76oV7LHD4G25EcxuuMarpss8l9Zc6ZTABs8C0nR56PquikG7bRee4ACXKnxdQ0iJIBbiSr/kT6AzIOfJurh7sVH3n5IVZHP6YUQqBKuh5n1VwBOo46F0qJAXbqLrBVG/fOPq1qeVk+/nCLXVVs5oKzzYS7p4bufL5dPfam4ny3OjKyJQzbV8V+bUnMlgKXQJoKjgCZ2SYURHuQKkTa2FlanFBDQgbaPdmeAiTVmdaD9ZQJyRiwmZ+nGpWeWLSHsM9BpL3O0fsxxzaF5OHrIOw5TpiatJ06IX38TN57mXm7cTtLtI+nyltMRE4ef9ejyydLcvm/AfxKAH8lXxSRLwDwZQB+GoD3Afh6EZlEZALwRwD8YgBfAODL/V4A+H0A/pCqfh6AVwD8hut1gTuwuSzmQ1CRDnVtEPDNbbFXTXQBWElF1S1WHsR+T9ZJI234xgYfAvu1e4ZAOOequ1LXHn3WIdOzVNQd9OnRDpKcwZPrtjto4PNgv+1CZXIlIY3ONueHdsD0xznHMga5RX0jRy2OlOwE7Z23DTQSAJiNMm6VlvO+g8cJbv/YMwOxTQcppRV1VdRagedOZrzj1gZ3NjO2+xrSysPtGm1PInjplvFCF7vaoS9borSUKTMNlYZxSjXjnGWCQTvCaBthDhqWg7Eege5Bso1oendc+13OmCPvKq8LHvTMJsrrmdmhlJgJvhGl9eD972ufmiFQnUfmKc9BshmxtjXNFff1jbgiQ54q4gLgrwOAiPzRt1rBJ8UVWVV/EOgXo5dfDuBbVfUSwA+LyIcA/Gz/7UOq+mF/7lsB/HIR+UEAvwDAr/V7vgXA7wHw3z6+Fy56F/MoUukTYDUxWYC8idNv5M4ndwUuhcFhfm9kV5xD9dNadgj4WuIzZsM9p7J7sWBQDUhzc2YbuU0GenbP+W+Tu1R30pBYoCRWq3LKbtpqCc3gKkHFpjt0OEesz4Ll1Ptv45DEDedxNLdtHvQF+7WhAhdBwN8EPA/sgFV/b45g0rnC/pkf/Ji7vppKSVVxvnf1lleyVkV1bjqIuJpBnnaXSeCYZgYYMrnbLlU3LV7Es2e63/D5rnoU/op33N7glXOLa3n+lgVPPrjY497Z0hN/WKoB1WYbesMDbThjnXSBwesK7ZqS4HnfAQ80daQBqKnMuAUPslYWD+AsE0rVWAvsR6gpq++hpNYSqn8rXKow+BcBPcH8fkWs4VinUlC07UeVYtBKamtyu1YsU/GEahr1Tdr6FW14jxlOMDmx0jJDtNXNvnGs6K7d3BH5lOGGbUTk1wL4uSLyK8cfVfVPPa6CJy3O5d0A/kb6/hG/BgA/Olz/OQBeAvCqqu6P3H9QROSrAHwVAHzGZ3yGH3z+2yAiH9mzEVvA+wqf84NX8m8iwLqizEtfmTa8MMaHZNwt3lrVsLzGfmTJA9KuSa2h2ssbIqtNFMw+2adOJiFZa8NbWrX9H2N0tVZBbYfIYCRm38dreW4Dx0zaYZTnZx43IaUSVQCWbnddG1YUsaiKH05Q4Od/1ov44EdfCy8rEQFDR9SJX1XgdJLOxgA4V+7R3tm7TKcJ67529pqswluK5WBZq0K14HQuAGY82K7YzAXnLrXcu7Vgu6+4dzLj4W6NYNFbyxR4ZbQNbaaGi6bxPtinROQSkcqSC+sbXZbZ5+67z824+s220yB/ukNYPfBV+kh61hFoxq4ZoOqTZCqvT2KLVS2xtsN5xNsm0nJVN367dCJHlDCUXHZVcVIaaGqMN2krTFOxQkBpym+6KcO+CHBDAJg/QeU3Afg3ADwP4F8ZflMAnzziIiJ/EcCnH/npd6vqt/+TavdRRVW/EcA3AsAXf9EXmhalu6G54/KzqqK4XaCkfccDMgIWQe7XwSxRkAXcUEHxfhIOJxJc6JSCkPoRMSjaG90zwbhKmCZxsBTGBhjZgjebemqqe5TpBNBGwEYMsay+aG6cDbiSc5g3prWl8Vwpk7eBGBMLiawmaSAExnRgmVrEpCVIMcklHTRAwcW+4mOvXUQUfajZgjOlwV6TF5ZJDMxSmXOeWP894ZSuyEGgRRCeV0ALelwmwcOdQbtEACGA8+2KO6czLtaKF84W3D2ZsThBDcnIVXcFwFYVEwSz99uM9OZmvK8VUMUcUnIDlKQ7d9hctNq8pWDUeGcgEWAmytUCFR0AEtoYgbLuUDEDQkTmQ8boKsN412yaw5VrWA4DLG3uncHxe/K7zvVGimfWo64hUCMcTQVWOpugjKo3ErUbU1PJAbP1JBdPpfw9IvIBVf2mt1LHPzHioqq/8C089lEAn5G+v8ev4YrrnwDwvIjMLr3k+69Vgns5wvFnoEZy1z3UPT/7Q7JVLnGQC7nqaIAETDuvGBIee75xfQ2xuAWcjUTB6k1cLYZuScNLYoR+/o0lE7Agdrl4PyjJrVcQt4wllhGTC422SH1kmz5XhFfJzHZ+D/nQX6tCp4LVVSa1AndPJjx/a/HxcCzorLy9W7JgpvZQWgzMWhWrIJCPVwXmMmNdFUtSTVE6MuQAdWh/+32ZShCXqQjunBgEUK0G8bJbTf1Z3QBvKivLc7+ZGtqywlR8Z0feE4kb+6TD5FUFUFydlA9l9Qj3ld5mjYmyPTChElZHEkJDTfUOEhDfYz746XBCZ4FQZfLejiEp3fdc/1oVS9FOSm3veJCC0zwVOZRcWAJRPHd/9DK7gXJz0f4/oeWPishvAfAv+vfvBvANqrp7xDMAnjxX5PcD+DIRORGRzwHw+QD+JoDvA/D57hm2gRn936+2478LwK/2578CwLWlohoH8fCDG+IPPKmAZORvNodjBnYemNxY0cQoZg+xMDrcc2zf0juNXFc3jiPG2JxDhjhVrLsPetMWzOjXxnS0HHN2IKArd9A3UM1wmDqZY82edeMYwxNK+yC/rFbL6YanIijrLrJWkuu/d2bG8s0j4G3twLY5vfT4kl1Nrr0wV2TWzX43xIC+Pr45y7cC3Ds1AvvCmdlazjw75vnW5vnSxRwSIs4TIWnYd7MFOThmSCNyuHaRVFXskzZk4Jw2ukkpRCYAsrdZVQR22+jwws/smt05qHjJrvKtg8k7rOs4mSccBCVb/b0kibFuV58aURgyvaJJ8dlYDzRC0t2bnBVuDFuMBPFxf09W+XoAX+yfXw/gi3Atm/YnyeYiIr8CwH8N4NMA/K8i8ndU9UtV9YMi8m0AfgDAHsBvVjWUORH5agDfCUsT8s2q+kGv7ncA+FYR+U8B/G0A1xbhsqGPYr9KeaTHxgiTYrlGlnAMoKpKgDCom4vk5CfuYKMYjNxdIrJj0pCXrC9mvyY/1XNee26a4t4qzTvKr2l7PqM9s2/dpst9Df17xlFzQpmer24gl3Rvg/JIqgIa9DVFvVNvX+aYuwKb3yLOxU7NgFtrm8fNJHjPi2ddn6YiWNcWAU/13+TTQMiXJbzINNRQgCZudo8pcbqUaghiuV+BXa14/XLF/cs9Pnr/PIjJZi54AENGXiZzkLh3OmOZDKKfxvy5NGM7c9uYmy2h7rUBQUoJDzg7cMUScmXJxj/z4cxxddeTNGCuzj0MCu0vWS1IpxZxcSc7Y2jiX8MVuTQ1W/WcLXLVWh/2ByUl2sDgruFshYnTesy5Ns6mjXAHh4E6886sir6ZIsFIPmXlZ6nqz0jf/5KI/F/XefCT5S32pwH86St++zoAX3fk+ncA+I4j1z+M5lH25vsiQyyGlwxqGbEYQLMxJLtMXPeEYvl/ltHOEYZ9r5jEolOLpT6OfcseNmYM3WHFjEVMrywpyZn1Z+nSFBfYxi5o+ycDaXagngPn1tlcki6c9hVCobQHsn3CDbf5cEJfaOtQEUx+6jTvKHc0cK8gJqriczxR9kkAiyRVnGtXx6zJM+xYcFQREjo+WLDWBBiZDmIRqsaAs0Uw14K7JxN2VfHZL97Cxx9ug9CdzHYYn3jmyYt9xYtnRkzO5hKpl228Jg3NaJAvLFTdSd1jJ3McvIzMX2HqMVO5oVc1wRKBkTACnhxL2jzG7XyNTlQzweA9o9cb5+bAYSO1zzk2SWY6YJaoxgpJpGxCrWbONE2VJ6leGdqiE8qoqIlEc64yY2kE7Gpb5lsqT5e3GMsqIj9FVf9fABCRzwVwLV3hUznamym9OgrouZ0cYJjVO3FAy4AJlmwmwc1rn2aYpYN26VQM5N4Pgw2j/eF/YoONBCgn18rG92jD+0H1Q6daSOPPcQhdEONVfaM3W2o34oa0wdIcU0WyfcDjFtJh2sUsoBGbYA60BuKuqbYqPvjR+9hX7WMzOD/a+hAcdSrFvcmKNFgYRrbnuWYdgUDM+r2r905m1KpYiiFan+/W+P/EJZeqwMW+D2y0OjTqGlP98vfqHHi2H+kwx6oaMUDjvNPbjWq3mEc0AhpryZmsMfZkVGHxfeR7Yl4FHfwL/PnAwBtU0RmBId6RDvAzA4MYt3UDLZ2qNiQ5328kTmEXYh1SDvbWWynqmoTr/D1h5d8H8F0i8pdF5LsB/CUA/951HnziRvITWSwO4Gr0U1N1JfWSl8njQUz8b2I7VT1SzSvqIJGXJO8ySi5yxJ9e+mRl2R0zR0jzOaZWnpxbDGiXgYu7Cs6Gny22xg8XmbFAmiEh9evgQJGUdA2OZrDuMc0nQG3xP1nV0M0/x6UVUzFWO4N9TlI6VSCTiXEegGbUXcqEqQi+8LNeMJWX5kh3y1+yFEomlt3xudmdCLy+CvFYCis8FCdYDEh1JEzjpCXAKrOtZq2GFEBid75dcedkxuXePgFLasbMk8xgSVWduH5pKj1SQeay6XasLsnZ/KgnxDLbi0if5IyfFU0yFHcYQFpD9l7d0SGIe5I4hnvZxaaOsjUkaU0a00I38nYvkbmzNMg1w35lBxWrW8JBQY5IU+BzbsA7ts8oCTPGKksqN6sWw4F25Ckp3wOzfb/Xv//QdR+8kriIyJ/FI6ZWVX/ZdRt5UsuYm6PXNzc9LV1omWRrXwukzFgrMHPxhvdMyhXvOuXRU+UYZL9U3iuhcqNaC6AtpjSjZlKrmWdVki5S+6VMyAIqXVhZIv6A6i0+6+1XmQ9UAwxEGzUhLME5ThuLnZG+/QkenJgOl86u41IFD+uoNxtcj0qEzhW71PPyg20X2a5q6Y7pFcaqlyLtee8/JQiDt3ci5nEQVKfQIysM5kM5nS3x162lADDssIe7FbemCQ8u96jLhKqKd9zaYBKJdvbV2hURoPQSHOeQZcwjk+cm7BKrHjBQ7HM+rDsi7V8yDhjQVLF28VDVpL4fFBOkalN5aVNDAtqpdFv8FaKNUBGj5VqZpsUkRDHXYakrJpkO1Kxj4Trr9vSx+6SHFMp9evul3/NPUfnrqvpFAL6fF0Tkb8EM+48sj5Jcfr9//kpYvMr/6N+/HMA/fmv9fLKKHeTrYFtIC8BtFyFt+EYwYrJiKbawq04oyU1Yqj0HNBXBJGYDqXNzG86EKPoD9AdtLt6/8cAmcQuilYztXcyBG8TD3dXbDylHWr+yYwF/60AER24xuUuHcTgdLIwXyk4EXakrUMx12A4CeAIsa19hhIMUQWnYJkOQGINVgbubgo+8cn6gS5/E7Ap79OqP0Wag6f5Q85UpYnDys5SAeCmIxFywq8UM91WxTA09YZnomiuOMSY4B7CZLSXzaKcIby60Q1J5fTo8tETaHEbsB3qpQgRhSM8eZaOb74EGk+7JpcWHRHAvyLS153hI074VvgPJXhcMVhkcEaT4MyW8B7VIUvPZumI/YqknW09VhRRBZbwT97l/qjvbSHqH3bq6ofI0uSKLyKfDAtLPROQL0ab2OQC3rlPHlcRFVb/bG/kDqprBJf+siHzgrXX5ySodZ6K148pWV13ta8Hiaimqs0hMGCiZY0r4/74qNpRAtGJFwSQWgLaTGZNatst8KAfkPBDR8nmDTmHUlNRPuZkAACAASURBVMYJ1j32KFjqHmspmIj4WhZLReySjz2/RS0bIzBeb25/X4sTSW/fdeExD3WPWjzeBujsTJFRU1q2zIn3s63V2h8DTlcULEkttq9+EIoHQMK9lJJ3VHCgHKNWrFWwwFRo9y9XvOeFs0BF3rtnGVM5ryqYYEbx7eqGfbTDZS4GJEkJarumNME+ZzQoqyo2U2nposPmYamXH1zu8XC3YpkKTqeCebK19MLp4mqxgrPF1GObiUjJzc6yVsXJUqKvIjYfGxFs1UhvhY1tIyu4rasCi5+6ZHJWLZilzeeqBPOsCCRlVy9mRkvqPhiXMIR7fYs7h3RESFu8isVD2XuOn+OeFHSs1dMrF8yoxtQk55hQk9bV6k73BFwM65cchwXMXDu0F7q0rj6eFQUFtvaoGdAgQDdUniLiAuBLAXwlLHbwD6ARl9cA/K7rVHAdm8ttEfnchOv1OQBuv+muPnFFm5SROHIBjIueUgrhrL7pagAY5JUhxUc7Tnz3Rd0ZE2s7lKPOeLD23ovDYZ5/6wJAmUJ5VF+k5zPh4hizoZ9OCuz3NAlyiuc8/u63umKaF+yqYulUdWjunY7Dxt8mpx7ZEwxAd5hnTlPqHlOhd1SKspY2g5updBktq7O9NR3YMsmBZEONEDM5mkeVT3/dAzIHNld+ztqxvguM+Z6KeYQ9d7pgVeDOZsKD7QqsFfPEbJrWx6kYMd1Mgu3a1GK3Z8EFPOEW+hK2mbpHcdubwhAOjrr2Dv0m7hjtMlmq4Rwtk8Q8x+xKgj7ie+mkkV6iLVJ6+19IDHM/plAbp3qGA5m/jWmyuU7X6m7cdY9SNsCgsiRBuWpfZ8eIY3v+LReRR4Y4PGlFVb8FwLeIyK9S1T951X0i8hV+70G5Din9dwH85eQt8F0Afutb6vETVdrSOdiHV3l45UKDNlVhWgeE2qZj7TyxkuFbElHhM12cSzqcmXuF3l4HKYxz35OHTRwGY//TYVITp13nk5bzJbWh3aGU9O/JaYFxMlR9xDUpB4dI6MBHtWD6riIHB16OW2EbHSH3vDCLByxWRaeK4T05sDLHZZDARIpekaZiIupuMnYXaX0zZZW/x2JOsbeWCadzwQtnCy7dhexkNtyx3UrEAomkYNn1eVXF+V6xXzVsAUzryyBKEbH0vPT68pTQOV0xCR7SGu080qQ0W0Oa/zmIM99H721ma3lgbMLpY4r3M9Yb/UpOIVklTA1C1iRI8rzMQY/5Ho7VVKi9E06nmcjq3aFviuNa25sodMp53N+TVB5FWLx8zVU/PHYkqvrnYN4CXwPgtwB4r6p+55vq4RNZqFDuo++NG2+/5Y2eVVStmnwPwt1x5+oX3slUr9ntku6r7R6N3zpYfOlVLqtq9JX1Zej6cKFetxEj0PXZf+uueER32V82lRnbYN2eHlbqHnTblLqPWAv2OZ5fd9Zvrzvfs+qQwoDzqjVgV7rc8NqPg/lYItp63dqBu+7c28vyqAANL4wBdlQHaaq7+rVmD7ADnf2gOo2R+jYeH5cIitrcdJyv/0sbzFLMvgIA9y/2WCbDQLtcV0wiEd9yuSpmh32ZSwugBPqkWEL1pafTZkQ9I/RDBZjiZqhqywgHJiFLrAvOdUjmaT0wtsjUar4G0jvkeizrLurJaynW7JG1z76EaguJMfN7WCfTVIz3RG4drd09eexEnoh+5/6nsbKem4PcL9f7e7rKlQLeo7zFDmCWvfwUx1B6LCrmk16oOjKuTg/F1iu4CL3it85w7mxs5rxDb91V5ioF/zz6pvgbdcVD+5I/Kbm4VJQ3auvnkayOw9gVOOSiyAE7h1WAIwErVkyVcoWKIUk+XRfoDloQBvvsvZP7bCqlfmDVCbjC3ID/0asX2FftjOEktkg+cDSsAxp2DUavB7Hx39kGFKgyYV2TAwOacX/2zk0iWLzxk3nCHbVPQsz047dPEqjwAE8TRRUVr1E6OPAWo5uuj4H9p1ppopt78qAix+/KqfA2I7ZY5vj3q0LnhjF2VTkWtxHSuzKWpx6MUWB2MZ3mgLbL6yVLonD7pTl8NOami+0pWZWHQPSmZ9wkLbjXnAYGld3bLYOW4lOoXDlNj7K5jDDLY4VPOXEZ1GIlRd3zV1+0R59Mv13HHz701lk/nX4/EOO7BsuwsfroecbLhNTVZeo7VB2Njgz8kUSTEe1Z783o+4NhJnVGJ/Xx5+GeZt8Z1GBCpF9E0q14Xs1Gw/5km4cWh30hRAyayuzO6Rxqrly0zBHxDmhkj1yrYusHadWWrMuIHJEL+A6Aqe7ikLZ3ZM9s3HtrKi2YktIL1WSXe/t+Ohfc2cw4nc22MRcJDDFiiz3cadiIJoEb72tnTAh/CDGbiyanB/YX6HkBk3jmsJ2wtpFfKAKgNmBX5mgJzzI9fC7yudQ9pGx61VWyy8zJjZ8qK+u5Q8rUPYq0d2vjaHVlexBtRySShEPqPMQ4R94Pxk8xZCDP1ZX78S2VtNY/tcqbl1xU9df/k+nLk1KaGF4BU/lMS+dhsgAHBv72eDMOZ28pHoa06uYcMKhrOgX6g1rqHloOQUiqi/YrgMXrzZ5jVJk1by1po0ubSBNhC1VCNtImCSoyIqZrhb6rfq+pnoq7EB/OLA+BVYEljTUjKDdPIbR61BwsFrctZNVVzANqg9xPRn7IJubxZKIqyg6wi32CeHHD72Yy+9VcWhDk4p5lswBbuGGf9K/usWLBRtw7ioRNzfCdx1jQCEtJde+2q0XmTwW3lsmSma3qUfimvtquinnSTmqrPq8KdH5ZVE/RocIIxdQ8uvyeKX4rjQBNh5KHqM8tKhTqrvalqVvTOuKhfHx/8B3Ra6t2B3+t+X22NWlSp7ScOYNkbzaiPhYn+u5rAICp92TT9rc04kcPtIzuQEaxatMy6EAU33b51CQu/8dVPzzWW8xzKf8qAJ+d71fV/+QmevbJK8lTRwCUKTgZCDNP0hNJwljbHh/u6X5rUecWqOYqpJyJMhmrgUF9kAzwPKT5KemeNpL++zFvtfyM5OfS80YY3Y04c4jSMM94b6jFCIZJFWAhzpg9GnMLdJJh1cbNT5LHbAef2Zlb1kiOn/Mp7nq7TC1vR+Zqt1VxtnHjth4PcrR+GAETadhgACLCnf+bBDhDNL8X+zR7mq0QzVIhOAemwnu4MxsNw1KqKuoKLJ7GkVLLyeyOHZPZWCZJqjLOK+04U5JiwXdPwmvzyvb4ziwGpDfCm7Qj7XmX2iAezZQkSZ02li1yWNfF302MuwhyNtXWoHuQMUCXa4dq36SCHGO+In9MkmTYZp1PoHu3H6X9MGY1pZaAUhWkhFpsSgQQwA3ZWwAcU0U/wUVEPgHge2HE468B+F5VfTjep6pffVUd1yGl3w5LP7wH8Eb6e8qL5wtJOGC5NMIj/aFMrxV6xdBjpTTX5Qg2TN5aYQ/IKMKuzhKgYXzhkBiMxGL0/Mr9uIrI0MuqQbs0KJfsiaZDtrx4vvRthqfP6HmjNQ7T8BaLhxoCQQdnAgyqPOnPohFGB3ZQdHha0ybuFQCvXax46fYGSzEI/SACMFuJAh1zsU0G7qzeae7M8EOo9UPTnDKRmKEZ29/p3KLud6uGS/T9iz1uLUaU753OBmRZjJCsbocgttpaNZKXCRAcPZ0Nwh3b5zz6mj679wa+F3TPTEXSWkEcuPndjVx8TqQlad4y03Lgzeh1AU1SyUG/Ya9E79YfAK25j0NRRcNK83eViRP7Q8+zvK4yJmDeMzfqweW2sMf+XasqeZ+I/JCIfEhEfufNdLArnwPgv4IJll8L4EdF5AMi8odF5F+7TgXXIaXvUdX3vY1OPqHFOFpG1jcfe3KIVyCiSoOlWBOXyojgHEMSnBEQ8QiQglIs9TEDJVkO0ISBIDwhLVyx+LLKQrSiQ2VOm8Oi+xPcDJqarZaWrZJFgQOD8VhGmAxGq0fwKK9Pi0VJJ2Np2Joo1Sg84VaTWvIYmcmS6gtrD1Az1kSf//EbW7x+aV5FJwXYKw+rNK/e3q4CtxdTndH4b/tcIhCxgu+vbRmqntj+Wt2wrC3vyM5jRe6eTNitdv3WUsxbrFgK4zI5OGVWo4lprCqapENI/zEVsdQ9ahlS6IYKzO7lqskq0YB2ScgHvOcA3SH91lSRBofDwrTVY8yWEXeXPEQAbSq7XH3OEpmvMeARzhTkeJ1MyMqQIVTTZ06eFuswtV2GOQWeXPgXEZkA/BEAvwiW2v37ROT9qvoDN9IAAFV9DcCf9z+IyG0Avx4WhvLVAL7tcXVcZ7R/TUT+ubfRzye6hN7V/19DDSPB0Rx/8FBc7mwo+Vp2lZQBDTmVOJSHZF/jPfxNhmvRvrTYm66eoR9AE/uzyJ7jCfI9dNkMn3y/Fvd720Bzvc71WOKpQwkobBUecyFUJ44SDOdu2KR0QaZdZhLBe1+6hRfPNmHQz4Z9JtviVBaxawxq5G9EE66wDJR1WnrXV2G8DiDaMk0afIvdspkkiIZB7AMn04RlKjiZaROx7JVni0k+qzKA0yD4CxAJ0Ppxy8G7axNbIgpfqfpLa6Z/B3rg+JBdkTsCkMePfn3H/A5qKXqodW2m566Kgj+287g/ur6m93HMgcOeaSjxdN0+UHmltZjrvinV2A3GufxsAB9S1Q+r6hbAt8K0SzdWROQni8ivFpE/KCJ/FcCfA/B5AP4DAJ97nTquI7n8CwC+UkR+GMAlXNpV1Z/+Fvv9hBTtDeN1tf0gbcNnLp5aExrVr3QpBo4a57loR84uH9I0th88pw0qJmBoUp35efaFxnIawDsJIhwAknGWY9WERpwkL7YZmzsdaJwrcRgWelXxeVl3WMsJZifeU92jygaCZNBPbapOgDTJRZLzApTEdw64k4o57AYQkygJo7J3y69GXxHvkwGMAiMg+1pxUlwq8idEBFPdYatTRL23YEKDCKFxea2KZW4cOgnPZhYziqf2lyIea1KxTFNA7y8FUDUCt/N7CbbJGS/rDiJzxLkIVpQyY6eAOBQL6PSgVKj1a82OSzPWi9p8ZhdgGsAFeZ0Uz/lSPN3wEU/0RDCqFghTD/saprTfrV3uJd+DBq3T1l5e0wcE0Necit1DRw/xNTbuHa7dcV9VNKm969tNlutLLu8YILa+UVW/MX1/N4AfTd8/AuDnvM3ejeUjAP4WgD8E4Hc6EXtT5TrE5Re/2UqfjtL4sbxBjPvV8HLKhQbjfJj3h7LdNygo+uRhmQihPzhza1flpW+Vlt6jK21Q0G4iLd6GJY6a5CFzjKDR1jRuNB4GTQ1H/cShOqLdLx2x0TI7IbAOZIZcxRJyoSrmogCsDRKSFbN581UmFHMVySBlfuyNHV7f7i2Lo9s61qqHffNPSqw79VwyYkeg5ZifI9EYgOZRVQp2+4ZGoDCX5l0FihiUP2BTZND79v2Vix1evzS7C3Y217eWEp5i26qQvbtIF7pKS9iMtMxYXc+Xo+BzsjSbdurwW+f7NMcNhmXdG0EeF4M6+vfiB3Mpm3AIEE3JtqLR5r2oTqToMdlsMiSAbMSZIAeJ5fsMQqZtTwVz4OMYiZtJa3kADYGZNpeoZ1izVNEqhj17A8WcJa5nTwHw8QHP8ZNRfh6Afx7ArwDw20TkRwD8df/7gKpePq6CRwVRPud6t9dvpq9PWvHDCXN4w6g4dy9miFWxJR1eNv6kAKESCSN1mZKRsXT35nTDB71IEkA8LgkiJj8PxEEJuLfVit4JYFqabUbRbaymxjFjJnNosG6OQ+BcPdFmtWJ2I8CoIsnBlyQ8RL/VaROHVZeHRlsQXx43+zwJ7SgO216mhkgNgGmOR3sAvZugwOlScO9kQVVgu9bwuKqreUUxJoUdtLgSO4giT4xIBHPW5ALLIEDmEwm1mEsSqobCW2BR99XjaO6dLLh/aSqZ09kyVRLOx1RhZp8QmDpt74b82eNbOF62m3kfFXq02eGsxaD2D+wziaCrzCh8P8WI1+zxIZxraMoTxMNXWiwKP0NoTgZ4QdpT/s7E7ycB4bqcBBEASU+y4lJqKRuo9EfV7F5jBTaO2B8MrgUN+uTkkt2QfTqyP4I+S+9E87aLHgbNvo3yUQCfkb6/x6/dWFFVEpI/CAAi8tmw2Mdv8fZOH1fHoySXPw7glwL4P5EYXraNa+rdntziB4geScPKOzpj4tVqMCAd7kAX0Md6sj6Vh3ARS6hF8T/Dlo/9KGWCCo2sdoCu2sApYxze1zGvTCmTH8pZYksGS/Go70G9B5kDU6t4H3NAHeqKMi/tgHH1Bf8X52zpysy+hyvykbkXsTgHSWONuc195Tx6W1QDCQo2k+Dl823YKurqHliAQ/k3OwY3vTkJtMOYwZwtuRVd1UtEjfPA5POL57vfr2ZHmQrw8GLFblV87A1j9k5m48Yv9jViXXiUGUKx1+t9XNG8ucwxxAzXnAN6bWXJpYF+trExSj3Sd9PI7a7BIUnL3GKjKElojxoe7wptn3QqK9aZnFE4syR8uSjgzIhH0DN9Nfvl9ZAo7lfFPLma1B1H5qQRiLUSDXgQpe8RpoLgPebksgMGInaTcS43qGb7PgCf7yDCHwXwZQB+7c1Vb0VEfiqAn+t/Pw/A8wD+BoBvuM7zjwqi/KX++Tlvv5tPZtlXC6yjCix0uHXFWpLNwnXUPGCoTmoBl2ZHWGUT9xgUea8SsMUrJm6vO6wyd1Hv4SlW10jStSqw1NXurVto2XRBm52+WQBxY6WWTWf7WVUxrTvsinF0k/8m3u9Fq6cJ8IPV+6TwOqcT475oe9EGlV+97rWcREDcWhULvO66WsCeNgh/gknmOe7VKdL6XVfUMnf6/331CHZZseqEDfYAlnYoAnhwscflqgYSCSMU5iWkjjVm/bxYTQW3998UCPwxUYVOBbt9xaZU7FWwYAfFAtGWirhMBdtqc3juKYvPdxW71VyPP/bGNpJl3dlMOJkZqW8OCFhojzAY/aoIIEtDSFbcXgp2VXFamN/FpI2yv4ROmwioVBVIXc12lWwuYQdRCwZdXNJiUChVbLuV1+D3miqS728jZpdhWgCqrNaq2CCtuaoA/P1WWx90vgBmD1xOEuxqav0qzc4Ze4g2G1ePisxmV/EjLBPWtmemjujZ/Bgu3k6YLqOp6SiD5/ZyivO3UxRXIiW9+bpU9yLy1QC+ExYf+82q+sGbqd2KiHwcwD+ESS9/BcDvVdUPvZk6rhXVIyIvwMArQxRS1b/yZhp68ooGvlGIz+RSqOoRixRHZfAeDkX5JEaTi41gTLR7rL6khpoWf04OxW8GJjIAjZypPzt643Qi5bR0ajjJ9wjVKymgi+NAP/buOc5HmpcIoiQXPC2dqoEJzDi3obZworG4LSTaT+qUKd3PftN2xHdGVGMGVDLAkRxygeA9z59FpD7QpJWd5lgQwenUwCGJKaauJssoxKEOw4wpSRrexYBsmURwvq+42Btx2VXLZnnioIR3NjMuV/vtzmbG2VIwF0DU+jCD8SwSsP0Wp6NtrpJko2WOtMyhjiL8iavLurgQaRl9Ii6EUlrdY5k28e4iUNLVWDPVky7h5fVteVA4R8QPKxFIG2oxrp0UXMuYL76nrHKjWm0SQZWklhMfY63YTM7WcD+7KjXWDJoqLPDTtA/C1GLvlTEv4tduqmTEhRuo6zsAfMeNVXhYfoqq3n/cTSLytar6nx/77bEyn4j82zDK9Z0A/mP//D1vrp9PdunE+eGzQycGEK63V7hRjqI4vwdwIu93hOH8TN7/q7vcqtcTKgskCQdoRCYM/A0VOVxEEyHhmLJbam4j3Iaz8TGNMeZnaCO7h+ZgtzwfjJ3I/cglt6lAc0WWFoTaEnEhcepNjcVysVZ8+ONv4NIPdz6jMH29IL/jJiW0GB17hujBx9Iqq8fBEKEZAC5Xk1zWaofaxx9uI1lYrZY87OFuDVvL/ctdqOuIb0ZpalXF5b5GgGf0wMcsql2/8jzocJ3oxceKSmlExvPk9N6A6V5YPZx7upyTM6c344G7ci5cs50LsUZf4G2QUaMGLeJu0vOrpnWVx5f+jxQSbD6t9Zrmhajb2ZZ3U67InJ/r/D0J5TqExcuvueqH6ygUvwbAzwLwD1T1XwbwhQBevWbDT3QJA+hVJS3+WG/SYi1Mf9xzNpKfAzqC0dkXyLVJ6Z7pOHztYwzGvBn87KBi4n/piFOORRlRBLLnTBdDoD0awTg3HQFJEl12GZ1Su+MmJZG251uCsvAqYlZNOGedDhxNh4BJFzU4bwVwZyl48c4Gsxt4J4dWmUtLELaqTRcPr5DqAJcEGtQ92yLMPwkQkQJolGffCa3/mffOAACLR0LeWgxX7HK/4sHWoeu9jqU0DLLF+0kJLQvAzNkSJSQZAeOEcgAq44Y4Rs5nHtcxrprzEodten9FLO4nH/YRRIm0rlI5IM8jkfFCItXBM419c2+xYzE0Y905BxDQ7/nm6df2F/t9o+e8wtNMPP7vKStH3o6V6xCXC1W9AAAROVHVvwfgvTfVs09esc17VWDZQeIqHJ/FqxZ2x4UPBChnfBzvOba2CKFB2AqixfKgzWI8S8SqeH8ihXLynrHKa8Bs5DG3g17bZkxjrfPJAQE5BvOR2w2ImdH5Ic+Lt1HVYFpYptInSKMhvk5LcNpUEQmAB7uK0zl5sjn3DrQYlsXrIKTKVEyFJGi5Q9ZqMTAkwPQky+8pVGzIh7bgYl/xsTcuDfQTQHGPrN1aA7jy3ol57V3uTcK62DdOnW2RwFRtnmkM7iSMS9AGrQdedM3LrB2iTCjGcYlLUuLPS6qHayjPP4AIvuQBrkjriEQmqTvznGUpOe+XaDdLM/letHeV22A9nPuIRZLeRX1EZ86aCs3ETG7YWwyIoNzH/T1l5coOX4e4fEREngfwZwD8BRH5dgD/4KZ69sksneRCO4JwI2v3PXM947UO2wtNNZAP8GMbJG+eTDhaB/sN2SEGDJJLNjzmDR5YXmVAHPDfcoQ8idQk0hGKHAEdY/eIZzMkH64vSmO072RVSXD+A9dpKvrp4HA8xgVXdWJQ18aNp3k8mwve2O6Nm/ZnArPLD8KLfe3Gqdog94mPFtKR4Oh7FDSjPqWJtTZ1GjHEioipxtTANh/uVuyqhoQzFSN2p3MJtV0ulLwAuNtxIzhZStEyOecvcW/MXfII68YFl0SOMCmjdMHnWUiIDtAl+Hh657GuQlo9BH09hhSRv3NdkeCRwcr9aSgbx+uJtjoJZoAb4tqVm8EWM2n4en9PWXnrkouq/gpVfVVVfw+A/xDANwH4V99Wb0T+SxH5eyLy/SLyp5148bevdTC2HxKRL03XjwK1icjniMj3+vU/ISLXjnyiisMGSo45LbCRe0LbSB0Xry2rXbeQE+RE3njj8+TiIhNlniuMm7l/l8z8N17LfYux5vbRNmFuI2d7DE5XGmRNPEMCsW4P2mLRMnd96yQWoMVfwr6oGtGixGAwLRJtdFkNtYE2Np18a/Phzgjq5aqhblimdmjTbbig2S12laoxI3Q8lAtc6kkqu6w6YSrkVRUnc8HJLLhzYmN9fWtr4MF2j0snZpf71QIoYYRou1aPh7F6mfV0dWlrXxuESxdECJeUyMGrtuyY8Z60k9rye4iUBm5Dgf8/qmZICPLz5v24P7gv7B84jEOK9Z1UsCx5T5CArM7gZbtIl711sPl0BPDIHmDJBC8zVsE8DPfeGPyLXu/vKSv/01U/PJK4iMgkIn+P31X1u1X1/W8FCmAofwHAP+sQMn8fhroJEfkCmM/2TwPwPgBf730gUNsvBvAFAL7c7wWA3wfgD6nq5wF4BcBvuG4nMhdFtFQAR3XBHkPXysh1+WGbCU3cOnw/tn6o5hrb5cZuhmztCN6B7cM3ZLeJh3GNktexUlWb6o1pZQf7ELy9rq/HNmhKGZsPkc5ZInmi0UaitMMcIXaSOPNuzvzzbC746MvnjVik/qgiJBoViQPLJBWJwzUM5GNb6be+TpdctEktP+n2BovbZO6dzDh32P1Xzne4f7EzCcbzudhQE9oxeriajDBAFV7YpwRhcxn7JtIQEvgeOZ41jb1JfmlclHxIwNCXbu1doxysn/H3nF546E9VDfsaS5OcEMR/3Jfq4+D4DiSRI5LJjUHtp/I0GfRF5DeKyOf7/yIi/72IvOYCwRfxPlX9z66q45HERVVXAD8kIp95Y722ev+8qpJt+RuwiE/AwNe+VVUvVfWHAXwIBtJ2FKhN7IT5BQD+Z3/+W/AmpCqqrniAZtsCFyLLUppO+Wjhwef3mNh+eHyPojiAbsOzrvh3fP5I0901V3Vl9dqIpnxMjZVTDyj7RgIqJdRCuX8dUUh9jc+67wz6YL2DdGidWqP9quhUXeHGemTDW0Bhq4dxPnMB3v2iGdPzXBRpkgilgryhaXOx/wXMBwPAgTev6IcgdOa0ody/3OHl8x0ebFcsk+D+5T4g+M+WCe+6e4JlMkeA09lcibMTgfW9MTbM9xJglOx3XjvJsYHqMU3EmejcjShRlafhetu8vtACSHH8wO/WO3riEF1K83TV2UkGLzMQMTwfV9ybpBlKqyWtz2NqvYYAfcS1eFDXslByuhG1mLb18ZTYXL4GwI/4/18O4KfDYPh/G4A/fJ0KrjNrLwD4oIj87yLyfv69hc5eVf4tAP+b/38MkO3dj7j+EoBXE6Hi9aNFRL7KcxJ84Mc//uOdBxVdePm//dB07HRnDVE+HYbNToP+nqR2iD6kBUzOfVQfMMo9+paePRxUj5l0VTlQxSVpaiSklMC6LnlbB0t/7FNStWW1Yr/h7dvo7kxiH2kB0nuIuU3V5IM+5tyJ3ff9w9fx8oNtAFSuzhXy4CXx4oHNtMaUDlSbOoqjboCVfijzcHNpY1VTrT3cNaeEZbI4lct9xb2TGaUITuYJl/vqsPsFz53MbrtpU5g9pDwQPcZAAsI5OHivqp3qK5c1SSEkUh2zkA7aJjGk9Dv1LAAAIABJREFU14R2LdvCxnXBuQrCM/QR+VoiWgf3oK09oFdlxxiPqOeARpS6tacNTSC7PfOZkFqzk8ANEBfW/RR5i+1Vdef//1IA/4OqfkJV/yKA29ep4DoRQqdeOYvAVFGPLCLyFwF8+pGffreqfrvf87thScj+2DX68baLI4t+IwB88Rd9YbzGkDK0HggbYY8YTTmDJDBZ/aGayPeMB3/HxcdFi2Q+IDRoC50bllJEZ/tnrhE1NteQii0CmvAvbJs2Hkl1ZtgXhXP7taEAyPAZB8sxKejgwpDmOHmkEWm5814rRsw3k0XUZzidOGiObEKCTNYK/NR33Mbf/tFX45nsSrzOC/b71eHwjSgYJlWrVIRuy3rQRmPTHX5EJNRUBQ1m/9ZSAuLlcjMb8dlXFDHDfs5MuZ7MFp3vcTmrImBgQnIS4LIqdJki4yKzNgZnzrmRBosD93aTugPKSdRlbXPdZxVqLwkRWwx1heSIekenDpikw1dyFACyrbmWZ4ZR8VfCLHkqZaG3oaa+aktlnN2mmUI56kFJhKR06Y65F9g6f7vZCP0nh3Jco1QReRfM1PAlAL4u/XZ2nQquQ1xmVf3ufEFEHlu5qv7CR/0uIl8JI1pfom0HPwqQ7dj1TwB4XkRml17eEoBbcPAj9y99DEl3CKL/zujtsZAjk8QBZcmlpKC1DKM/Pg8pIF7TGMOSE2CxL9bpqf+OBnyZ6ySaAMc89m10yc5xDZnC2W/irrx5EM1jqSNa3v98Kmmxg5NJvmgrUCwOIQMz8Mums0swMp04WZf7itcv9p2aK4IJxQgCiWgRTbYHO6wJQGnzZ9ds3NoOcG/L7rX8K6tPiQFaWssPdxbTAhiu2FIED9Qj9yeDWyHkPr3V9tV+n2tmYg7THasqUEogC7Q+Cta1Yp4noJoUotMShMdcvS3B2TKe56rQcvjOtTSOn9HzEb3vfZ5zwG5eOzzAvc4yrB0iMBD+/kAVlVIpY2jfIJvaHNlY27VOkgECELWLG0P//E1JK7k8VaQF+I8AfAAGL/N+wsuIyL8E4MPXqeDKGRSRf0dE/i6A97oRh38/DOD7306vReR9AH47gF+mfV7m9wP4MhE5cVC2zwfwN5GA2twb7MtgA1YA3wXgV/vzXwFLy3ydXoS7sX1NqoHk8njwWzw++O1ng/yRklUOXTXuFhrqHb8+SjW57jGGZWy3qfeGCGgpV3NPg6qBpZBrHO5tqg3t+xpOA/0jlLbo7nqgagmDq0l/gUx8rI9MaZzenyaHgEkEL92a8bnvvB31H7NZAG0uZ5dUGN9CEMTwGAvJLRmUM6Mhzcg+SUsQBgDnCW7/cm+eYSQoVre4tKI4maUPqpR2BtPoHtOhvcoK8HXoKsX8eax0SyzZJDjG7KXVrd3Bgws+v8dRDHoVVN+BcrinhvvyWimJSclec1nNyb4cBEBnG46jYxxTM+eYIEozNwVe+TQZ9FX1fwHwWQD+GVX9jemnDwD4169Tx6Nm7Y/DIJbf75/8+2JV/XVvqcet/DcA7sLiZv6OiHwDADh1/DYAPwDLfPabVXV1qYRAbT8I4NsSUNvvgOUb+BDMBvNN1+vCoecJMAQEHjmMjwUUAug5nWSHoa88cbSsZTSpKEk+cUgf8WYpHZcnrZ7xM0PgDxuTn12E/kBcR6OmwDhexquM0ltE1gMHz+WiaJKhSUttbHYYNCTltsHbfBB7isgFDbG4BsFgQOGuKjZF8P0/ej9SJVj8g9stIJ5MrElYe7WDnxLLXhMXC4QEx4juIgBnahqkCQuI9PgVEZy523FILds9drVGQOXlWvHq+T7UYrT3UGXHunerunrLHAToPUW4fb7zHH0/5hBh/9vrk/jsCH4KSj0o/o4YwJrrtk+J/dGhKkSjbe1xPU3pGTJbfG6Kd0BxLQV4Dvs1Ox/k/jSPv6Y96NejtDYPR3wj5SrX4/HvSSgi8ttVda+qr4hIQLyo6hsAftd16ngUKvJ9APdhngI3Wtxt+Krfvg69fo/XjwK1qeqHYd5kb7KYvr10Ot2W5ZHIw6U0NY4AHdJwcEiZA/RPogfvquJU91hLsfwo6zbsFhndWDyHPSWOMdtkZ5+IEfSlqo+D4JOh8mrjCch+1kE99zBW/kYo8zEzZx5r932Yj27G0/OUJg5vKljXloM+5sNGgdVVIR2mln+uVbHRPYrM+Mjr287rak3SCB/NkPv00hIRVGinJqGnj1TLeolikPuz6WYiYJKeZ/NkhIc4YlUV77i1wYPLPV673OOlWxsspWC/VjzcAe/czPi020sATK4wycUIjWK/KjA5ooCalLbbVfM0q2qvLw7Ppnyit9daFWUa3vnAV6oTKtomzJmlV+PmQiJ3jD9ltkn4u8NA0OJ5NLfgWN/aEomNzBP7yflHMdUbHW5OxFCfO6m5rkBZDvraJPsScVzFpRsStZtUjSksBcNTVL4MwH/h/38t+niW9+EaBObmID+fwtJz45IOWu0kl5KSXjGCPbgvQmL4wmQCLhaiKjfCNHdSRHBtLp1QbZSTfUVfkewhSczv0J09mx+Raa0e21gBIyMA0DZmLuw72+OGL6XBl4/cX+4bx0E3zlHi6e5le4pORzO5/SG72oYenBIEmscSE5qJlKjv7mbGnZMZu2p2DJ6to32B3mEtMr+lKO4Qj4shL5d0PohLWwzOpNtwgamzKL0AwP2LPU7ngvfcOzOE5LniZCq4ezJjIcKzIubO7BcSzgaTG+8X7wCv1WJjX7V5hxHaBdBAS66JmofNCM2+QNvUVblWaJ+j7bDwvQCxzsK1f5CAEM+7BOt2rry+870FgKFc9+opjpu2LvafTFSVKSTgJpFL1z7jXEIC1/TZpsiRk+WQg3qrRdGpSp+C8ig+9lrC3c1brZ6a4qqcZDuI3NpJ1QOgs6dEIGBEQtfuc9WEOCyl+cqnlhngSPdg2n4Ymf24AK4M95IhXciNBRyHNpdmQr1U9fiIod+hIqj7OCgIpZILuToCRGZXYN4ZajL2Y4jE5r2Mvu9iX1zXz3iUVieGepg4a5/UjG1cAPBZ77iFpWRiZXlc1NVheWy0f6xsWw49xcIlOqlc6B5MqScTr1vLhFvLhN2qeO1ih4t9xbnDvlx6zpfdWrGU0h08m5R5cva+m9dY8yIb+xYZGJXYYP4OQjWEo6WzKYHSSD9mfuZIeM4D30uAlSZbBw9+RXt3cqxuL520MKzPhi5x+Dz7VTQhYoz2UklxaqmNrj+DajvQwx+zH69TFE+XWgyDwPiI364sz7Dk0utgUSaY22WfuZ55VQ6YGM+50qQDuzwNnHkcxsmmMZWpVZZsHswlATTphKXLGun3j+L7o9iJsT6W7OsPT66UCSvVe1RbxDPDIZClrW6aBrsS740+OVxIwzMr0GpEYF5KEP2iaJyuVqxVUCZpko+aSiTUlwJ8+GNvRHS65R8zjpkHLvOsWMpj7WwsMT9qLH9VgJkc+T4NONIJuzYPr11VbNdqsSyXe1zuVzx3unT1rqo4362YimGOLZNggjsUVOB0agTRoG7cyUG1ReOzf8XS867ufbauinkuULXEYaEWE1cnUYJJ72p1SYmSS6yrzN17CbWa/3adnCckALZmNdbBsVMqS1kAOnudPTehrhpqsdYxSlJpX1PFfIVTAwmiZaZcm3ZAJlOXTsvR595KecrUYj9DRF6DvYkz/x/+/bEpjoFnWnJpUC0AOo5/LNwEITIPz4+Iwy2I8tADK+N05ZIxvegQMNaT2z7meZZ7fhT0b/D4GceYJaDHQcQcBINiyDOTf9OGeJDBMjlGSh6HgZ4aXC/djVmW6bBnGv0A3tiu2K41cqSMXjgtGLLNDyFhwhOJr4OfyeitQARXmmNAWwNFmh2GcDKvPNzitYsdXt/u8bE3LvGJN7bYVbPJTIXOBG0NVbjKR1rEvmrLNbPWhEOnNVR3ee7Ce60wzmUfsPhWN+J5k3wkEA9GcM4xQp7P0VW8ew/D/dYfGuvbuhoDJZW2P1fVETfsQCdDrcERNIBjdednaF8cV2pG66hqUhBTSh9Ic2+xPE2Si6pOqvqcqt5V1dn/5/drUdxnWHJBcNoRNzJ4ZUVxfS0lFQuuM45Z3ZNJa2neO9PG9LVS+jacAyyQzlZh3ixz5FEPTt9tPQ3qfMKkfqilzc/nJ7RxAOkQSN+Zoz2P37JGrmBe8cntMmEzEbczrS3bIPdAsyGZ5BWSHND+D2+g9oyoH27pN9Y9F7OB7F1SUfEsgsEpG+dqqQIkMgxupgL4ofDSrRlnyxTG/8nVSrTlLMXUasQVY5KoVWk70fAos7nyA1uQ7AEtS6XAVFjnezvol0mweIzKKw+32Mw299t9xXMnM07P7J2cOPT+2VLCWwwwjzO6IU/8KxLtbiZ/fwWoUlA5DjAjpbjLtfWfWSU5//B5sCm3+RQoxGNAuOZz/ExI3ejfR51PgNpUmMz8yP3BdyhwY7+0vRTr0tcAY1BCKvT9EnvI+zIBqGWJeJUJ4k4fGnVKWp8qtnega4wt95VROGxDy2RjvCE7ieLpCqIUkVMAvwnA58FCT745IaFcqzzTkguQJAkvHVR+3FSbwRK2KTMasGqyXYSKpl9IWSoJXa5zkWvi2LNa7FDvvLp9Rg7jB9jmUM/oFrpWDW+13P+xMBkT+6Z+UGR0ZevTvv88Mo6DOIE0Vzq0ASBFzDdi28GWOHedMxTGp7f12uWKn/quu2GLoDfUUprEkYetMOgWts85aPEwCL39Mc7XnlPP6WLz/nBXcblf8c67J3juxHLQ3N4YBMxzpwteurXB6VxCypkKcDabm/RcWuIwoKnrrE/0TNNAj46kZro26YYEnGPt1kr7LaQVNJUV32dB85zjXlGXxmizMMw1Oa70GZggEqDONpnupbRqkoP0Ej2Gd6a9lMSxj96Qtt+011R4yXuGQKnqc3KTtEDVpNnr/D0h5VsA/EwAfxfALwHwB95sBc80ceHhHnEfwakPnL+XMVjwQNU0/MY2WHIbQDtcQxWSdNE5p3hIVOxfx3X1HJGWubWRVRvej5BcxgPfPYZY6JUz6qqLCOq0dEGL41zlRzr1Xmorb6EeZNOIwVob+jMDTdmmlt4ulvtBh4TXL1f81b//4xF5zziRnCTLvMgOs03yoLXDOcXxkNDI1KnHanofhN/frYqTqeDe6YLLfY1MlLta8er5Dh+5f45/9PoFLtwu88r5Hg+2FW94WmNVSxxGKBimUiYHnONTiOzMWBzG8gCItMmcW85fZ1sSD4rkO/D3qbB6KHnE+3TpQ2l3dKIjUdeRA1Lo7pve9RFbTY5tOsqYoBH5EeluXBccB9tkTqOD+9l/vmd22SXrm3FJ1kg58Li/J6R8gar+OlX972BB6j//zVbwTBMXAJ2tgYUHVCYc2QOKnP9Viz//FoTAiUV41gwqK94z5i8ZI/WPlRHBeLw/b7o81G7cSXKIebjCBiV1DQ4zB6LlNjJxze7ajxqH1aNUxDQiHE4HGnYB41C9On+WOnoA+Mx7JwfBjSRagM31xhGJ16rhfky7BuAxJzyYnWOnPj68q1I/2MZSJGxCu7XipVsbfOLhNg76s2XC7c2Mk3nCg+2KXXIV2652wOyqjXXvnKy4tMC5YX6XGI8TZaAnkpTcBI3T5yFKWxQJ0bFjLc765A2Z31Ubd5NccpbIkPI6m42Eaz5LeBFeIaV0feIakRyxr7Em4778ENd3ZoI8Up/979rMa/WGvMWq6rX+npBC0Eq8WXUYyzNMXJqa6ioJRJ2bz6oeLbNxkCn1MHDIheU4GeHCdnfOhqKsndgfKisnSqPKjoUbPjakE7vYsCSASNJQOnjzuIPTHA38msaU5iHuTe11kpOU7gCiyjCIM7nBVPrnJaSBOh4WPIyS5ENCY3OOUOW9crHH1sEdmYGSai/VxtHnQ9n61/K5ZGM6s15mogLg4HBa3VuMnmKvb1d85P45tvuKBxd7rO5J9trFDrtacTLbXCyO5XU6lZCmJkH8boCftAklrLbBva3LPInjKk/2v5MiVD0VdXs+EyR1m0tuzdRjbe3EnAyH+JT2CV3hs1QhA+HJfYw5PsLERTqAkJ79HajZTIyQNgYrr8urHFbyd6qGb0RyUYtzuc7fE1J+hudveU1EXgfw0/l/8hx7ZHmGiQuSykSDQ9n5guIhuq8a3Jei2VriwKQdINlgRjtKXPfDcRR98wZbvb0gSn5P9kzjgc1Nx+9249psK9RFe46TsItQf6/a2Uw620W+v+772JgrIM5Znwz9Hec8Z8TM4zBiuTrkvkXUdxyu1kSQU53pf7Y/FcGn3T2Fqkbq4Ejp63aEqYi7DiMCF9VVE2EbcAlijXVh15sjQMuaGZkjV3unp3PB6VxwezMHAsB2X83xAOYhZgGVBbtaA9xyKuaKzDkNycoJoUhvg7HASVf7abPDcKycI8aBMGmYiBOVukvvb+0kwvxMuBP7/Od1VX3ssY5o10l7gdJNrnOUnpmJlO1LYmKI+xYehkB3b1l3TUpN/1fV6GtbM9raSOtLfa7y2r8JZOSnTXJJ3mKjx9hdVX3uOnU8w8TFOZfO9bV2SbEi2VVyhzyGnMzCZUFPlfFQpMfN2G5nVPRrTbo57Hkc/kjSTRzS0j2v+R7/5EHZOP70zGCQ71QanUqhbXC54p6xjEGQbW4On+8M6DzUr7CF5TrpNv7GdsWPv37hkogbiYXz0XOt5NrnIthMDXZdyRmnQgM/QSH5f4WhIp/NDeeLXlGnLn1sHbvsfLfiwYWpPM93K+5f2LzcPbG1tV0VF6uiwiU/jiFJobvMt/jcZdtRzjIZt5UJdOlmsjFC2AecTiKgec6p0hUgknONAKRjECtdmg9sManOrocHEi0OHVeQ9iDdlp0AZVw1oM+JEygRR9rL0va4z28SuPIps7m87fJMuyJPRQzICThY2B1MiVoQpXmvGBSKjnRZDv3xs1opL5kMO58hUvhbcz2ezX0y9SdUGbVB7efnu/bTxi6wNgtjJgQB3cEASQs2a4ZbFUKzlFC9FT+hY7NqxWQIh5278bESjgprc60FsaBcQjComiZlkIBmt29ZDf5DYER6KROk7lBkBgNhP/5wh0882GK7mksxgLBZ0KWY0fiSCPF2rQHHz6DKzE0aWrNLLRBM0sAluwReaAT09e0+Dv4HF/b/2Wb6/9l7u1Dbku087BtVc6619z779Om/21fXujeyYgsHR1GCfbEV/GKwkWUTcg15MQQkO2ARbL8ZDI7AAhtDwIEQEaLgB2EEBhMIiUWwI8sPfgoiFiaxHEeJFOv3qnVb3X3P6bPP3nutNWeNPNT4Ro2qtU73ud27b4uzu2CfffZac86qWbNmjb9vfKO5uVKlclGtiXYiTetrlDJtPkRameZowdTnWsfHPJfINRbHRuABbH1AKZz74zUI0fiO1O6MhkWZzxPOY6LjsCR6t1o6+pv3zN+xNIRI6gRGvB7nUSSsGbT3ixRIrjiCrt0AsbaBzjYHyd73u2iq+N2EBPu2tHtsuaCPQ0QXVjBPqfGzoiE/i8mXUcuP33WQXV46Tf4SEkkV3UN0+/DadA0cmcse5B4W/0eMka26DVq/LaclNUx+uDY3r+rPnrp+16JHyaGdBRaS0Oheqxt5GJP0u4Ylo/v907e+lBb3YgB/VXWGXs7V73/9HN/1ZiuYV7RuVvtS82eAsHEHQVbRdH0sJok0zd7Go+aKqnQs2rnVstSAfjIhcJYTbvYrLs8mXJ7VsV/dLrhdi1uST3aLFw+rQf2aYkGXXZ0i6YqI8b6IDmQuDp/52LpEwtjoPhUYBFfb39pDkXl8tOhOxQYl0CPFzT72F9eeH6ulJa+iCSAXFkCLC4XzOisF6K7Dd9hHGMAvq9ICU78eq84yxvoiDAQf1RQv5hL73eIWu4t2ry0XoGpYyRaqU4kEdFUkcBw/q+c3bVxwbGF0iZKmLWWjWQHgGwM0QHKHYCjPl1IpWiRshjocCxMQXfImk8QG10KWmvzpSW9ASJSDj8nHH1wLjXDS6PBLAzHEJMpVtV0PcPRY0aohKiwhMbzAUxLsiJIanhf/9kC2VEqTRrk/+bgvt+2ayQTJJgkmAfYmuHiZ/Urhjk6QEFgAmJtO1eHjbgFBMAuwzYJ9IT1LG/PtWnC+yXj/qjI1v365wZuXW5wZBf/D7YTXzmbkVOM1mxwo9IP7KsYIY0BfpVbsrHQl1cpkYqVSo0dd6zyRwhv2ebIkyJo8qAAaIssPpAU50q/Y574u7NiE9jzYNIyDyY91XVf3k6aMbHHHLNm/69aAP+v6PEqekbR97q47UzZqFdZ+085mzWQhK0B264bXvut0+XtmuNxvywWoGtY6aHtxw2ayF8AXo4cuM3jO70eUVmftlOWkNRF/dyCBLoDd+mTQPx7j1xleiBFYULRxa8Xs9GhlrYPlNsaJugBnAA/EscfzInFnhPaKtNhNvMelaO8uGWq1U3Md41ExxvD4dsEvvv1B54P3QHWIZ/GH9UxohRwMpruaEPJYC6I2Lm65LFrHTfcW3SC3C4kp6/mk+P/Vd5/hves9nuwWvH9TkWNPd3UtLivMCmqunsVADvF+NNwzrasEPZrj/doSAxnfqvcMe66tdoxQcFGr57xbzIXX6WJRp6C6IZZGS4IjZx9joFwsoO9rJXgE+JuPOOYvMbkYWnBY+3IJ9ffxrk7gTjtW/Z5h96i8t/sJRf7E7V5bLvXlMq3LfLu0EJL5YKdUtXsALcaQstNCRDJGUkqIFuScAW3WQErZExyLVsLGeD4QoKHSEhpH4sei2sVYGIeAUotk6YBGvR+1SreOBs2QsGvXygVAGeJS6K02p3ZJjQ5n1DKzCGRdkPO2WhRm5UyWzOnz5m65XF078UXTRrHO8cf6I4wTTfZ3kozbpeCtV7aYzF+SpWn/i22kKH3Annkhc7QKTGCU4KZT24SynVNgMZo6MByK4sltFZY5CW6XioB7dDE7Yux8U3NdAFiJY8XDbfa5z0EAJjRBwPgRx30KipwTWpkAReNLS422RYsewV4bmCX5vCYYsMDWfKR2AXrLslcIqjXEz+P7oVJjVTCrMEmjUGrHV7oWRaAHCvGjabhvpyBKzSqpZSlO6898bgIFY5IqqOOyOfqw+OG33BRHAIuXvd17y4VIEwYNSZHvX9O0FismRVguGoS4SxoDnCblwzL9I4ljZAVw5Jfi+HwKvyh4bIwxbyUmNorFKgB0Y6cA69hmtVknaht+HEeH6AoWEy2pmK1NATjm0BxZeRx36HcxAVDjCG2TjY2WxoKmbXohraL4+tNbbKZslkQVJhX6y7lrQeBKvlwvwkz4OpbeghKp1kjMcI/jUq2cYEmAs6lyhgHA2ZSdW+zqdsH7VzWh8tm+1nipAqi4pcO+illRBX1JAEWj+qfb7FTj2Bn7iY0Ju77J2lyPzAsUnGk9uGLEa49VLtXOYxa/hL+d8j4eP6y9+lnurQmgW0OxXymVR66i4GjBtTyXTtiJ+Hh4nTHDn43r0es23QFaTAFnzP6on5el3WvhIrZofZM2zT5uytTmPfkrTceULkB7iYLWG3/zmI71N27u1MyTdMIhXpvnHN2HjbUMgrHk2YRDu79T53fWkR3DjT++2BEC6lQstJzG69lxHZKNx4aYxUjBAQDnIXGwXbPdK33rc+r5t/g7C/AffvkRfvFXv+l1U7JUbfdQQXq+2Ua3GAkiAXQlhvem4i9Fa2Ewcy81l1TVlrdZcDEn+11ruVxu6u83Lja42VeK/c2UsAn3eLsUPLldcLsU5FSvtzPUAZ9m0RrcL+Zu6++hWnmexyO9lkwgAAUF3YoNKNCzDJAQtP1tyo89T8/opyVnNDAjjU9sNT7VUHEUOCMPGDDE1T5k7RdhxVUTQmDRNukABbTg/N7R+lU0hoJ+wC0xc7yXj9Puo1vsXguXxTR+j0uE/zPZLyb98WXcr+pJXRKOpdYhWmrcwCwFUUvO1EDrH/sIcZUl9OecTXYM7Lq8Js/zvgBP+iqqSMsOTCArqpB178SHsX9+Bzuf2etjjMWPLUtLoFsP/XU8oS6cv+59rKrt7wJBWnb13mwzSKgZ7LVglnTxoPg86marHjPj/Ne/ga8/3eHL33GJKVet/FDaBjqhIonOJnE48JwqIzEF5RwKdp0Z8mtG6ayaSC8TvI/Y2zG0Rg6l4L3rPfZLwZPrg8ddzueMUmqS55cebvFwm7GxDP2t1WTeZDEyTHW6GubNsGwzrRDG0NaimMTiNEE7z6UmFla2ZPVCZExc5fwtxZIxtT4Pxs+4dpPWY5Kufj3G6do6WJ3csoTnw/NXW58dMkuS9yvhXVjj2kWLh9TrwBU2jovrgcpBnAfRlvDq+UHl0MV31uE+7oRyXxWlvNjPy9LusXCxehfR1QMc6TDUvKmZEfaoeXPkqiFVe7xONNeZ5RyvPbbODROtHLRAMoAuh8XryJwYd9UsJ3dZHF073P/zFLSxyBdjNLWjZnlEC0js2rR8OgJMaYl6kcOJ7sVmTcDHX065CVG1ZtLxxOutBXj3g13X70qXG3hMHUQtSdzIILn5c4wR+uoccVFLN6u2UrvUWEaBYrcWXB9WXFvS5FPLcXl6u+C9qz1uDis+2FXBuVvqsatq55pbTYgWGy9jMqsCB87TCY1XRZzUkuzOI6Q2nhKTKMfrEPIdgRkitCqa8nGqxUB+DgIYoKegX+eEOXfVX9HWHp8Dnw2tNa7viCKMEPP+pvr3qiU9r9375fNxR26xVV/s52Vp9zigH1xF4YF2wfLwMrbcFAb9D5jT7BDcGOSOdUxqnkfpWI47Ukdp9e670QmOBFFX4VL7ZM74MrS4R62xUiGXVqvFXAQlzxUOypoxIb6SzGLw7GgDN3R9DsfHsfn5Yf44Hrrbal13+wwAUjbIbfLiWapofnJu9Dae9VBwNlVNl8FdD3JLq1+/FMXZVOMqRatrLDGgjLZJK27qAAAgAElEQVTZVTdbm/9NTjjYpkw6Gk8otKB33Jxvjc34dlXcHAp+/ckNvnl7wDtPd/jN92/wO09v8ehig5uD4HzOePWi1lv6woMt5iS43EyYs4SAfWNjpjWjaC6vTZZGYinikkK1jwNx7BQ0rJyZU7WCKhakVp/kPeYQlyLcWrR04Iu6Zsy1aWuYa6bB4IFW+yasK9aMsRaFlid05hlaxusJFNruw9ZgjZe2e6bA6OsEhfiZHa8pQw01RjCK6gBauAOkGNvL5PJ6kXaPLZf6IjqNiXFyAUETo+vJLAZBcw2NUGJqaDzeXV9aN3ACBSJ0mP2fItSLbil3jzH4bWMroS/XEMvaWQNlGE/dfLT5pGOi56CF8r7pXvN7DXxLHfGmubfcehusIyfwNLSVAp374tTLx2PqBZiVr84L5rVF/IS2GUxTcivodmX9+WYRdJUb7TO6BGlBkGbF3UfcXG2+PJs8tQRHcoSVojjfZDw8m7CZKsjjZr/6881J8CvvPcP1YcU3bw84rBWGvBZShVjRtNK7sZzrDCYsrZ4K0Aep470CtHDg/U9JOjffeExR9POrpXNDeaVQW1/8f0dhMkDm6/NscGM+X1rmca7jefU+NFhqbYzO/UcrzdbKwYSTuwuH5XXk7rL17q5fxl/vCIp83+hf7rVwAaJ7SXpTeDyOv/PGP+s4uaxJ/C5s8vHliWzETEyk4IgbrBMF0mWEsAF/mHtNe6bn0WWkzzm/I/IM/bdqfs0ii9QdZBrgPI7j79Bi4f7Er43eR4O28bubYtiwkjTNOpk15F8DuD60rHNVxSaJQ41F0AXk67iaxk8kWhaLeUhFnEVXS+yLYAAmP15uJrx+PuOVsxkP5ozHNzU+dT5nXG5rhv7T28Wz9g+l1n6htcWETwIMam4SUW/NBab2zNY0H4EfWN8lSYsdxcz6WA9GVI/cfDyWlo8/F0G3rmMripMcXnXjN4sfcBCHu3nj+2Zu51M5UgIczX8K4+F9SPguupJnc7tGzrpunInpo+Gz6AL+BE3121MsTET+joj8ooj8SxH5n0Tk1fDdXxeRXxaR/0dE/tQnvqmPaPdeuACDcBg2qsj1BVQtK7q42LjZRjguwsKOiLTY72id1E4CQsaOjTT/Y6MLje6lmBcT+4r8ZU3b6wUqj3GtLfQRa9lEhgGRMOYhruN5KWGOqstiECBEDoW5X4OQE/vuKK4T5yH8vpgTbm9qADv2Qzk2QnPrPbdNl8Krq1XPPrS4u4yNm3m9rxonIVjgZl8D5u8/2+HJzR77tQIDnlwfcLNfkURwtV9wtV9dO5+TOHuyIgqcEwPnvZnrS6RVsuwODwgoYOQjoztJuvU9yWnmCHenAWFdHfc10vQDLbYRlRf+PkImovXv75CIu/D4t4TPYc+ojbUfQetfTq4hKj1O3X+qON3HaN8mtNjPAvheVf0+AP8vgL8OACLyBwH8OQD/LoAfBPDficjd3Nhz2ufCRRLIlwUMEM7RTWaNz/9UFns8L/49sgA8z5fb8jqOS7LSzTUuQLrQlNcN4+7cGOu+O5cAhZhZP/bpro6ARCKkmv2ptrGN7dS1Y3kBd/VFi03VN1JqmKPlUsyt5pngwf0BAP/m/Wvsbhbvh8HS5p5ol+N5h9IEBt1kKWyuBX2tlwnlpAVUUWIF14c6J+ebjJwE1/sVj68PuLo94MnN3sd2tV/w6GzCmxezx1yARqK5MRcg5yaOuY6lcZzxmnG66BosEKfop/toHHssc9zcYsdrtwzHusYfAvhAb313VjnQBBDdYlaLKJ4f10xztza3WD1/tT7U18XIhMESxkCwnCLnHdr99P23CpWfpCm+PZUoVfWfhOJePwfgy/b/rwH4B6q6U9VfAfDLAP7IJ+rsI9pnIlxE5G+Z2fZ/iMg/EZHfY5+LiPy4mW7/UkT+UDjnh0Xkl+znh8Pnf1hEfsHO+XGR56h2J1pc7OOmGhMb2TpNH20RHh07vCD+sTTK/ZjXEfvsg6K99tW51TiekKkfb7yhtMKHwSKK99/l5Azuuc7yClaWfxc0TR4T+3B0lZ0X4xynrDAisTr3hxZHJ50qTtW5emwz+8qjcyyHRlNCF1MWYJY+z4XXSGjCh+1QGpGhSO+W0ZQdkjylNmbO3aEU7NeC/VJwvV/x8GzCG5db5JSQU811ef1yg4s5Yy3wBMoktU+Oouf3tGql0lPqx+fMcaQgs+v91TgLrW+3brgOwpzosHa4dikUoiuSa8/dighzO6zLLlEznO+W+nMUquhW4/04nc1gkdE9F/sE2vt6Slj07074LChrn6hpiOd9xM8dtv8MwD+2/38ngN8I3/2mffaptc/Kcvk7qvp9qvofAPhfAPwN+/xPA/ge+/kRAD8BACLyOoAfA/BHUaXtj4nIa3bOTwD4i+G8H3yxIdRcgJMLJ2xicZONFfVG37JrWIJGsxLcU+4eCrGWGLOJgiMKoLgZdxnN4aWNm1B0ax3fcq89UijyI7dKwvnddU64vkgbA/SZ1F23J1yIyrly91q4T1UPrAKAsyJ3bsY2pnpN6Ta83Vrw4JWtMx+zxWRCfk602UQhgcZvFjfcyLtFlxljIbwex1VzZ+rze+9qh6vbBY+vD1hLwX5ZsZbicZdi1stuKXi2L1biuF6HeRuqzTrZr6Vz4XVGncLp9KPgjMF5rhFaP62CY/2/mjuIOVVsJc+d4CCku62ZE88DvVLGhNRuDw3vydFayZsuY7+zigZ3VRSk7RgmJDerJcZceD2+Z4oonG2t30XMBd+ScHlTRH4+/PxIvJaI/FMR+Vcnfr4WjvlRAAuAv/+JB/8x22cCRVbVWCbzAdr++DUAP6XVvv85EXlVRL4E4I8D+FlVfR8ARORnAfygiPwzAK+o6s/Z5z8F4M+iSesPaQbNLLVORKSBAZjlewCkh9N63RNd/DtCahV1gSctKAOTcj2nWEEjczvIhGSCLI+uNG5SpYJ8iyoSjPcJ5kJIGxs3LSIjFzTaFeeCNYGWh5eEY4JksG5GpG+J9wzAhVOCHWv3sSBh1sbHxvPV4LouB7RgKfXYYt/5XHWuFzEIcXKU3VrUocLV3Zd7K2i1Z2Uw09ul4PbZAYcCbOwGogVQ4xpw9xBzS3IQNCR8TGL0alo5zgoE+7XgYq4cXXQ3OcJsVVwfVrx/s8eT65pkut+vWJZqxbz1ytY3kpt9zYPZTgmXxjW2XxQbK+Qjqa5ForsOBTifBatBh1euFW25QSuDP2gIqznBUGXN/TtPCWspDuMlQCICG0SAUgCkhLQesIT3IdscwdZlPa+t0e5vWy8RNi5lgaRNddemjb8fvQQJ67sDEqRmgfAYMdegWdA8ryBBCEce3Kus67Jq8vgSLdfV37lP3lS/JW6xd1X1q8+/lv7JDztZRP48gP8IwJ/Q5k/+OoCvhMO+bJ99au0zi7mIyN8Wkd8A8J+iWS7PM90+7PPfPPH58/r8EWoDv/Puu32eRqzbEOGsUbu2dsr9Q/M/xm+OzrFr00Xkp9r5EaX13PMBt3zid50bI2iCNO1HSyZqfdE9RghmHIfTxgxutc4tNoAHxpiRj5EuOGmWiwJAyt7HlPr6KTF5keNhoiPHQa2a4/++L15iMqlStFGnCKp7iHM1Z3ELhX0WNK0+Hsc5S1Bsc3PBcO4SYHVgavXJ1883uDyrY33r1TOsa8GyFDy+ruixVy9mbIyD7LXzmveyW1eczwmbVGMtdNPRQpoT3AXlOSzayjartiTQkRut5NmelXSu0ALxYz1Yrr0FAC3d+QA8B6Y943C4WVmjdVGRhasHzan81NIBzd05BtujpV+kJs66HRvWXkyirGNNR2ufNDG0XOIYY4nrE7b/x24Kxd6Ui4/6+SRNRH4QwF8D8B+r6nX46qcB/DkR2YrId6N6ef73T9TZR7RPTbh8lOmmqj+qql9BNdv+yqc1jthU9e+q6ldV9atfePNN3wA9l2WgnVfTUp2Oxb6j+4fHEIrb6LqXTgD1wcjix/M3MAibECTXMB6eG11nR3kuof/oI29MAbYxWDAzvnx0i0XQgAKQdd8F7cX80NHdEQXJGACOY+TntPKEAXn2rzUZUZXomf4778NcUgyyp/Xg87+q4n/+19/gMwfhyPW7mtlOdBc/E6nWUrUowt9aBcZhbVn4KrXeTHQnRqX0bKpzultWnM81z+Xp7YJs6K+HJnCeGoklYzo5ARdzrmgyc4NtUuPsovCLoIL6DA0txWcWLM+eu6vlibRyC3AXmtoxItLq3Id1yxjHEeU+ApSbLjKeP+SSODCB17T14Fq91nsnDQ1zoupY1a/dVdLU4mP3Z6GN6r/SubRxiMDBBzKMMXLK3aVb7NsYc/lvATwE8LMW0/7vAUBV/y8A/wOAfw3gfwXwl1X1Dnhtnt8+NbfYR5luof19AP8INabyPNPt66iusfj5P7PPv3zi+BdqyVfZ0CxGIqVgRXJ3Ei0OnkdNuaSEJKH2Ot1Q6F1m/G7siy8BBVbU9bIIsK6QPLm761Q8ZYQUs9/6ZXRV2AvK7s1tQOYBll/u5ma4tr+UDPKaO41jNy9Nc8f5IFsSZRx3BiqLgZVLVliJXnZfFohMOPWw3CBME1DgLrQn1wekLE65D1Shw826psFUIkrGNAiPzkmd6LLNJZzGXsqKKSUP8KtUYUVW26f7BbtlxTdvKtT4er/i5nbBYbciTxU1VnNcZnzp0RmSCK6NcYCad9y8D+YSSwIrrWz3E4L+Plch1lK0xSlqkNufjOfPqCpEW1wmquv8O7fTWlwlCOZJGrVLpTgy92SVHCbQqhuZeTIxo94tGIRrS2VqoCuS112LYpoqo8AYmDefwAkwSL1eKf39ce36oSLGHMH7v0O3GL49lPuq+vs/5Lu/DeBvf+qDsPZZocW+J/z5NQC/aP//aQA/ZKix7wfwRFXfBvAzAH5ARF6zQP4PAPgZ++4DEfl+Q4n9EIB/+GKj6Atz1Y96SyG6lRTt5fFsd79S08Bj0N/vN2jnRxntJ/pmlruXRLYAJK2crn/tEybjtWK/p2cgHOv3pc0Vc8oaAXpNTkt/z5bFHq0C9jUWWovWEYw8kUl0AGu+9P0y6Oza5bJz/z3snnMS/LF/+w188xvPOj8/3UwJWut+JMt4B8wK6psX6LK/k5F0Ag3uy/skhJiEmxdzxhsPNthMCQ/PqjvpwcMNXnt01piRc8Lj6wN2y4rDWnC7FNdeb5cPeXCAE1k+z4VDwccqlDETn3NV3ZftHOaO0IJlMmUEAQBcK+j+9s3T1kO0Wjt3GXD87gS2hxFgc9qy1za2MJAEPV7vVOw0cJYFq50tFkojMMStqztAi9Hq/TajxT7T9llxi/2XIvIHUN3bvwbgP7fP/xGAP4OKwb4G8BcAQFXfF5G/BeCf23F/k8F9AH8JwN8DcI4ayH+BYD4AsH5FKN2bN65ReTzBXixBM5O7BEdpHEZJ+gC4Z7bDrBrTyHh+DhZQhwTLs7nMipvlPFbBoliNuJJ9ibkDeLwiYbbr5JzBol8s2CXxnjkuq4MxFgmb7O8aO5naBjHGXFL24lcwawCluIUxloRmIBpG266SUdbqGttkWjBNU547tbTNm1LjNU11t6w4f9jYFKYk5mpSFCQbY4utEIocCSMpfLKN2wtXiWDO8AAyYcGbnLBbC7ZTwvs3B+xMWLz9+AaqiutneyzLBEmCw27B+xczHp1vkCyPpVovK7Y5QxMsWN6EnIA5OtJZOJS/zLYnkg3hfjyRVMTnqmjP7DwBTq1T+d8SIFLXc9hgNU3QyoNjgiO1gmppY4Hw8Hx0sNiD5cM17Gs5eACKHr+T8T74HABDF6Jxp/m7G96d7j3TdgykviewWBzXtYzj/oTtZRIcL9I+K7TYf/KczxXAX37Odz8J4CdPfP7zAL73444loqTqhmm/TXtJQx3vjiAy/N1BgxmHWRcgW8IW4Bt/0VqJ0l06dl7Lvm7uJJ4X3Vwe0rC+aL6PJJZiSLAINyYvlT94Zf3wXjDWmEa4p/heUJuLLjg0YemuO3OxRbeamrD2DVGtkqSdN6FumJNp3Iu5QXSpPo2iiklD5r9VLJRiiKVpCxTFdsp48Mq2osC0VZUEGhooSa17f1Ua7UZOgmSbOTPsOY45NwFWNDm6zHm6tMKI55ScFv/qdsF+v2K7nXBbDri9PmDeZjx4sMH5ZsLFJuPNiw0ebasi8urZ7ONSVGsritMs4uUBIouuxyXs/jZCF1Ele2Tgv8GFmyVDIdFtfeZGKoaemlHCWm9+smLPk/Bpd2EGAeLPOWU0qvsPp1VhtUop1Z02urB4zLrWAnCK5iKN7r2GFstICqjALJfk46jzpxCzlIlye14Vy4/TiqrXFrov7TNDi332rdWSB8z8lpaPIkCXWa9oWfMx9yUe41BXBtBlSJQctDdqzYLeXSbLruWgDOdFARZbR9WiLet+DKQDLZeGIxvdgyNoINLZREQbFTECE3hMsg3JraHgegPgtWM6t5hpzE4Vry050QOuHE/KjRurrNivDcmU1kNFTgnw5N1rd7E1rq1alwV2TLRcOAOrVh6ovRXlqs+emyqc5t8tm0Sm5YrwAoA5VxTYF17Z4stvXmAzJTx4sMG8zdgav9ha6obz9tNa12S3Fjy+PeAbV3vcLBVYsC+KvY2dlteq6nxhro4IFYLwTO23oBE8IjwHjh9ABw4Yg/XepFHTe16IudmyjJZBT53PmBznrwIDlh51HNe5Zd1H5a1oc0MCwcoKfzMB91QZgBjYj+7ExhBQv/O4EO7OLQbcP7fYPRYuzUfsMoEMxSEA7xYHmiL2YY8/bqLRb+vnWvBS1n2fBBmsAPjGGdFreC7FTJeBPAiKToBEYReEEUL/kWImWkA96qiAdW2gAwuupFaqdfyOf9tG0UO5xYpDrVV7RN9ahj6azz1+Hz7LInj7aoebq71vPoTtHkqt5xJRQbtFg6Csv+dcBRuVYGr+pE/xqdZq9URBmRM8hrJfCt75YFez9G8OEBHsdgt2uwVXtwdc7RZ8cHvAO1c7vG8El3OukOJDqYJhDrEn3rYj2+zvyDlWBU+LSzlVjM27uxL5mKS5xpxCxQQ8YzdAEAZULIZ1puGYSBkUn5SA+TZtAP5OWMyFgqcXJC0WV8deocjxmLFiZIz7Ef48vkPjO01l4sNq1Hycdh9jLvdauADoYy4DGgpotSAAdFZNDKhz0VKTHHNYuutSqByZ+Kah8Txp50NL3WDIfxYtJ7MYOtRLqEczjicSaD6PfkXRb/xHbNFEiNn3DJhzPqjFRl96Fqn+c9BtGDLww1whWEQWtoHTjaAFnSt4wvqQVoqWGvLFnLG13BFurvsAHybzMVBJLqMQivczbl4x/6a6/aumzOz5LGJFv+r49kvB5dmE25sD1qUgJcHDBxvknPDoYoNH5zPONxnbqbrSLIEdG6vt0sUYAJ/bimoTR7GxNgtbcetGLP9FPZ8lbsIUZBrOrwgy9RhOFTbJrUM+hzb3LWmShd08J8b+js85xud8LtHWbQ0pTibQB4JVn/sGRaYlxLEjXItrTVNuwIRwrShs+czbGn2eCffx2ueU+/em9a6fka+KTRX+ErA+RDwe6Hm3gKARWezBES9xYQdrIGpUFGDE+BNEwBoTrmkx5uP0FifYZ4Nm1rE1WxtzX3hdQbN0qIXGMdcga5u3qG01AWh/23ksHRvnvDvG+28b6n6tZYJZ3rgJ8v4FjJthvS/gD3/pFXzzt9/Ds0PTeC0G7IWy5tQTPvKJrm6NwAVHtGykLJiZAV8iG3L9bJszHm7qZnZ5NuHViw0ePNjg4cMt1rXg+nbBcljxzge31b0mgie7BVc7Em0CN0slvtwtFTkWNx1WpySrwFp6qvYIRuj480wYjnkdIo3csh7X1rO7ySR5nktBzfuhsIrNXWTh8+iaZD0cCiygWvHuqg2CovbfI7piLo8/e8u7kbJ2SkN0y52ydk/FfMT64Tt3Z5T7eDGr5XPL5aVo/cvYFdmyb5UuHtvUWGeiBqsbaR6z8uPmXrVwCe6otklTG2dwk31VTVld069j610LdRyNDj+a+Wp9Rm2Px4zCKTI+RyHTJWqGUrOEKR9pVqNwDoWrImNxm+t2PpFfApt/wJPnCA/u6tQHV4WiCae4GdLK+d9+43HXh8dT7D/Jzs8CLyHM4lxrgVsFRes1qNXz3WdSpWv79t2qiie7A64P9X6ubhe8d7XDe+88wztvP8WTdytb835XSx/v14Kr3YJH2wnnc8bZlCprgJDrDDibxMZbi5dlMfi03fsk1dLx+UCw+vi8zQphXRo2usI6uPBwzFoifBmtHj2FVVyDkrrnIuu+AVZCJ+N8+hqky4zjppuM69Wetcfc6C4t6kSihBKftDoHFzePrRerY39ezOaTtM/dYvesNbZVVAiuU9Tby1MW19pcMWSlxYHZVbRlVQNt8VJzTwLfQAEA66FzI8h6aMeX1QUPfdt839agjfLa3XIsa9PwKUzc8giEkKfOs9+Hov0xY+7Bsqu/4z2uhzDGiEo6Pp9/8x471t/gW5+HzciT7bTPG3L3iWq3KWwfXNZjLNhea6TUTZZ0MKXKTK99cm4EZgyQJwluyJAfoejzKmLM4+Fm8rLFdHltzidsz2ecPdhg2iTknPDl1y+c8oPWxqFUJNxZNqUFTSBm6VFdPj3BClY16LLBamPgnfPGPKEE7Tb5qNlLWdwq8A2dcRQP1h/ni0SSUebL8HNagoAJrBPvhQZLeHR1VQ+1tmc9WCN04XWKCK3vwCrglnBwwXIeOTagWTB3kaGvAPbL+kI/L0u7x8JF/IXkBu6Cxg+J3Fy22IKfmEHJ5qO1TGXfVDVo/kAj1IPldTQ3AqRCTmnx8LxMNTT83Vxc8IXvfw9cTkXh1TM1zx2wQAD0Wqy2PuP9y5Cbc6p4Ej8zt0Q3fgumOq+aCVQyRzN24vJbW4xBTQGIGrJoafXuHUE2uf9fALyynbAcqpB2Di6eImIVJn3IvkmReiZucILjjS4LsNhmSaAAv9tO1aUyp7ZRagFSFuScnAbmvaudf39zqImULHHMuaY1lLuFWa0tdwNKg7vTmli0z9T3x2QuKwG6gHiSwR1m88nvCNenpVA7TL7Z++iGeOXoUuLGz++O1uyJ+F5X7E2G4n3RgkETQBXurn6e9233V3PFiltp8V1iH27V3AVaTD93i92jZgsvmMTt/9KhxJwvKQoONiuNGl1I8ToA2kJF0L7HgD4DkACYJe9NpAtqEl7MxZ9FzB1Vz/WN2gReRPAIGnR47CMxKOGDajXTaa2RucC/CwKIf7sg5jEsH0tUULRcQA2xzRXQqOaBpmmOxKKd9hk2AM/eT9ViqRaBDvT19aA5V/hwrSdfN6IYSE9CaDY6TZeWBv/PzXmbU8eKfHVbqfSnTYIWIE+CUhTLYcX17YL9suLtx7e4Pqy42q/YrcUrUkYX4t6g0UAVOtFSYkCfjWO2pTQE+ttcFa2uQPKzdRst2t/jhhetQ1rfirapcx1Q8MRx8Rk/dxM1YVLjMKGP8A76oYZoo5Do0GKDi7v7O4yRAvXILYheKH/SVi3Qz4XL/WrUXgbtxF8QOwZoWld0zUQLgpUOoxsKCIJHEoTuI2p4brYvDZ0UA+xhTJ1AsJhPpIipB0l3L9xMKkfZ4fj+6drgdVA39iPXix1Ld5t/x77odgjxKaj6bwG6e3dLIrhGokAnDLfTIn0i6rKNQfU63W22bg4rnn7j11BUPYazanMx0Qd+uyh2lpBIlxMD5QUtjsJnP+cqmKfUkFSAVc3UWmvlUArmnPBgznh0UVFT2+2EPAmuHt/i6skt1rVgu8n4xuNbAHC6faDCmJ/uKh2OauMII+8Vqf3XKIDRNjAug24NhHljrXgXmjixkYaAfj0nIKqIANPi8wH01sORABpdUOgVu/hVd1zwJiylAReKhox3t2x5721MHVx6jBdyrMHNSsaF+N1d0b8spuB81M/L0j4XLlxMg4DpfMHCvIz2f6j64qvXiRvm8QJxoSMt8BqFFADPp+D/R3O9a3QHDC9x13cXqGwWTVfUS3reMkilvGe/41qnZXWkGQaUj8eexnsNzV/mE1psEpjbSk4GoL2PokeuTN7HdkrYXr7uApuB8JzaxsugPfussSbbnET85fByy+FZOSW/zdWhtNycOSVcH1bcWhXKm/2Kqw92uL7aI00Jm+0ENS11MrLK33m2w5wElxajeeWs0uGIBOsJcJcdudH4ONxtmZqr60hBcLfiMN/oqfPrQaYscW0S8TicG92HMc7WQeMHhBfQBFEcF+M6p0EHpUGvLc42oZ0XWa/pSo3nEwSgaWpxOi/lnDqByLjS55bLJ2v3Wrg4KWTQ/IuiafN59oUZN7BE5zbQNHbCK1G/G1/wuGhirCYKA0UTTmsYh1tJpjE+b6PmsTHW0wmr8DsiuaJwQ8xSHu6784072ED7ebBzuUEQLAGbl3HsUah1f9fDq4tk2bnl0FyBvYY6knSuCqS5xpo2WTCnlo8Ty/ryZy2ksIFnwBebP2a5N81/8mtVKHFDcAG1JsucKi3M1W116ZVSYenXT3a4enyL22cHLEvBqxcztlPCd1xuAaBm66+Km0NxRFrpDNOwtoaNXuze6Prjo/PnGzbxeA4rM9JFpPYZ+42xGL4PGq7NzXkt6uwLbKdKMnTCIAin/sTGDhH/btZ6ex6cF97P+Fm3hi22Os5hdLvW0s+t/zvhF9PPhcu9azFwGYOJdP+Mtdab+0ZPBtDZKIC4rseALKyMLIa+dTgf1le0kkbB0Wmd8TonLCj/jht/QGdRMPL/7v6gFuuWlLTz6f+XPlvaEUZAJ8ji/OhwLMdP9xVfNrWEvGLCXvOmWURDshz7eO96jye//q8tPlGFzZ7uMxEnsqzFsnqLiJYKA+rK+QhxhKUoSFzMeykIFEDWNlPCZkpISSBJ8PD1c5xdzNie13E/vUQaqMkAACAASURBVK3C8dZquMy55SLNWVBQXW27hVxi6kXBgIZSc8i6PQ9S7XMJrVrnr6LusrvX/BmgKQR17a/O9HykGElPmgqbv1jQzdeBBe8RLI/Y5hzWEpowcYt2CPB3CowMFwvzH8uRn9qvGT8lUISKChNO75KwEgC+XcXCfje1z4oV+XdBE6/ZkqSR7HHD5OZaDw0LzfzVEYo8rvEWeFbfyN1KCRbPlGsNksgczA0+R63LmIqBhhY7yslhedguqGmCgj5tYx4e6VrGMXJjlXVBShuglOpOKvb3oJOQ8DLW/eiujXaPUcjmKKSCkKb7qrp6CF7IldPKwASMcQgKcqq1XogW06IVdvzwdRSLT3TldS0Os8lNIDLjfU7Afm1unkplY8W4Uq7wV2lVPwleEK2usie3K/6/92/wK+89w6+9d413PrjFb/36Y9w8rRr97maHy1cfYNok3F63GNhZTphyZWs+Mzr+JPVzVWMRkEpUTVoWoA/k05BsAf3mw4+JjawgmUUg0NM6iM0jQHBDQ1Lxvh0CLclKcdup4OaeoXljdVTSkVURyV6jsKr9aVA6hvUGVjplfERdILCkNZmfnRg13FedA46xWiYZgMpUuVbtmqMg/CSNMb771O6x5dKCoe7eGfJBxjyR6DZqAWyq0Ia9R/PlRtSZWykBfjlaF/4/IoWCy0nDMd24rT0v6YvuJI69jDtJF9CHC6SeE0yH38FFEsbN3zEniAKLnx1MG62Z7f2c0zqgrz9WosRw7QNPC2gmaroigq88OsfVb/8qdmtfiXJvmeUiLbdDtd+weeyhqG3A7d5idcQOym5tzjVXZWOsyNREdzc7FG70U8LV41uUotjvliqUdgveu953yLbHtwtulgpPXopR+2vLzWFLaOSUYu4pjx+NzyTcBy2XWp7NHhnPcG0+5F3EuTZLlG4yzmXMjVq1X5f7Vdv8xeuEc/hdhJ1H0EGNhbV1OG7YhJJ77MbqCxG91nKsepeds0uXdv5dywIt+kI/L0u7x8LFNGePmQRrgBs/Wwwah/gBf1N7kxBTGF1VvcYO175HfqWuj+H3yB82xlMiFPlo3GGsnbZo15Z13yUt0o3VKW/h3K4/G08cR+fWC/NAdwTQLK5uPOH3ftwRn+OqYO5FRK/96uMbTNtzbC1zvYTrFdVuwy5K9JFZIYai2tBFghbPyMOcx8B0Nnfba2cz3nq4xVsPt3j1YkbOCZevPkCeEubtBrfP9thaAbHlUPD1b17jardgOyXP7N8tBQ83E9YCXB9Wo9gPbMi0nFAFgoI5Hm387moK464xEvEiYoLmXopeWm7GRfKxm8hcqacYlCOvHXO+VBUlz8Y80FxkES3GWAqFWmyMh0Qlge45t7pNEDIW50pLyvUzuufM8qWbOa5HXpdW1V2jxYrF3j7q52Vp91i4mMsoz8e0LXS7nNj43JQPv2OmfzTva6wkuqlS52qLhJMjkWQe3AZdKQA0a8QLkuVNFwMa74N9An1yW7wfHiMwWhQmXbpANT6zvGmbiMVDnsfRVsc2d5sykT9dBUt3RWYLotdAPAUQ3zluKr4JRHdaakLmbErYPnrT+4wLPaeaRDmlysTMhMyc0FtBqH0I6KO3NSOkhmkbHY/PCXh0Nnl+TbZYSzZLZtpkpClhXQuWw4rt+YTv+eJDAPCN5bASjl1dpa+eTWaRAJNt0L4ehkA2SzLHPcopdCBNACFYnPb3bOwFjJGwxcTJOdc572KIUYmx9eMcYWHjj88vuhVVUlNswvtA4TTGK7V7T8J92Vqo/5/6dU4wjIgnncaYYuOf6/sqee4IOz9+M9fdC/y8LO0eC5empflLFjbYkdTRSSbNzxxRLOTkknAcAEObBd4xLU7eeDSWQTtqiZLcRND9HVmJO1eXhqJOeePfxRdU7YWKXGLxOuQWS5aXEl/wbIHPRghYXBB2Wfw2j0BwjZhQieSYMX+iCptqTeRUrQgGlbm5cx43wTTkd9EF+Ce++zWcv/Ydnnsk0gQK4xJZGoIMgPOZAc2NRNdRtWy0aciDJeosxiJ4tJ0xJ8Hrlxt8x6NznF9usC4F05xxdjHj7GLGozcukESw3U54fH3A+SbjcjthToLXzmc83GbMKfkYzqfkgoGuG+bmHEqzrmiZOjM1x5iqOynGTAhWiAIp1qwhJU7c2+mSK4qunopwjfn7oGHNtLUQiVmjYhPrDnVyK4BC2EckKZ2SIKnx0lmfx2+XWWsCo7Npn7l1F9ZSrwi1EgufqCmwLuWFfl6Wdq+FCzdZV7piwhXapkgad8YEEL97Tl347nqDVj9S5MfGl68RNvaaNNFCkbiSGfeu/IXP2JgT0m6weLb9KXbkmD1f/dftPjr3XPBbH83BkCQXK1Aq+9PGIM1zGAep12pD9pdcGpSUde1Jvkih+z/+3+9g//T9zjVU5xdIujYUmNb8FKLGeCxruURXoaOdpNWjIStyq6+ieOfZDtupxg6eWI2W7fmEswdNA76+2mNzPuF8kz0+AwAXtW5vZQuQlpezWkxIBBZ3a/NDYEIVom2+GNgX8PkLIgtyMuGaTDAT7BCTN33Kw1pKaBp2JLWM1lOBeJ9LabEOxtk8Rwdw+HKk7o9rTdHWVycAgxs6CpSmdCEwccf3UrvfVEx43S6B+o4ab+lFfl6Wdq+FS4I63Tekx7N37iQ0d1T7IPpp24syWjon+40bf1jEpPyIZYkBuFVQUUrigiIKu1OlAI4+C4IkCtVoHXF1u5ATHLnyOvcemrAsFkCl5ePHa2MjiBnlXZOqJdO1UbRnI+786GjCork/QlVFAF+42EBSxiaJEziq1oBykewbq0OaVT1JkX/HgHgX39LGIhDHd7BNec4J7zzb4/2rfS0I9vgW11d7PPtgh/3NguVQkCfB/mbBfimYkuDqdsHFnCsgYFUcSrEYiyBBWhlptNwcjo3caczXiZtrhBurHkPiY0EwCoMk6EgtPQfEYhQVECEeu4lrAbD3QJt1R7eawALprESpjWsOtj6O4MXPcRuzkQ15CWMfz6vvVHO7+jilWTlZ0L1zfNa00u+ife4Wu0dNTYD4BkgXkZbeAhl4uOjO4WIda2bENrqeuAlHnqwcBMcUA52jNWDnRjeclzSmsAhusSi4Rj6x6J5zK8U2kRI2bh4bm6x7tziO3HzxmifUMAoZumNi7Eq1aZOJ2rrdE33qVaA2TduvG4QmUPNGgCoAmM0f8QFF4WWM1xJgtCKOymIwn1Yj65GwzPGcpAdxJPH8nEfbCa9fbvCdr11gez5js52w2ba5XfYFF69s8fBswlIUl2cTrg8rrg8lwLBJs28wa20WBdFyhKYTlBDdQowBUriOVo1gsAzDAZHU0mMw9qyiGyqeP3LNJXNDxXjVGGuJz4zX7OTfsIZGS5SNuT8+nhC0d/eW/aZQidaMoqHuYv+apiPh+bGafh7Qv1dN9XSsA4gw0z4u4Ga2VZRMoX6J2DXHF8LdalYsLBbMkiDICl0SJ166eqHimzKhw1FIjcuyJoE2jZ8CTMKLTZ4s3rO71ARei6NY7KhdOB3Nmwz9UyOtwroHNjRushMcUAYLXUurXx+hq/X807TkzjEG4Je+ceV9bLLgUJqAIYNxsk13Ts3VRJRVc/FYnyKYUdxvPyKx4oZ0NiW/h/1SsK6EIx+w2U7YntcfWlIPz2rC4DZb+WVzic2pkmrmVAunVSbkOtYqgFrMZGyKGFNpc8MNn80D/NIjv6Lry+fAlJOo/cf+6rWbAhOJRdlng5m38xCUL7+eVY5s4BiW327HxGqZYmMG4EoXgGDhNwof70OkUzj4d9GGwLu79mIw5M+hyC9Fo781aPkB5QW0DbOjFI+uJWtesY5XDiSQMVDZaoT35zOu4V3YMTpaHgE04BX/ojViYx8FVrwuby+iu0ayPBdyLDtLAfoch3AXQwrzE5FgpyyZri6NNP6zok2L7lBbrn2WDhFF9wU1bAHw3rM9Xv/Kd1XBslZE2MWcsM2C7bDqC6qLzN1NUlFRdKX5OAL0NY6fm3fdpIF3r/coqnhyfcB+Ldhs6zzO2wm7mwPOLjYoRZFzwoXFXB5uJxyKYs6C3VrLWnsiLaQxB2ijmqG1Aphbx57tUsydZkKS8GqPp9jG3cXYwhrg5mqPzp9rq3raCnLB5p6HnYolxqA5XW5Ac48BZqXa+1GvuTpkv11H+nEisCIDzpJMpYuuN46ZFpVY7gsF3hiDiWO8q0BI1Tk/Fy73pomZzWM6BczVNdag1/B/z++gJWIvWEcKCXSxkm6Rhv/PnR+gfkdYLV+I5zW/9ngLw2djBckYyKfrie7BERI9AhKgpbPmmrATZ16OSWrohEITAKzo6fds35ELbCkNFqtBEDHRkhtc91xMWP6x3/cGnn1wjdvFrD1U+pc1bJwMxGvQ7GsRLfi8sBqmAk73QmsrBqUBeACeDMePLubqPtsaSuzBjDe+9BDLYcVyKLi9PuDx9QH7peDpbsGy1tLGSYDbpVTiy1LdYrMJOuZxTEmcFborly0NAUcB0rkPpeWD+POP3xsSLulqrri4aFpioUOvg+Dwa6A/R4bPPa4TWLrHFTxawvV+1C0tjjuWtnakYRBKFDKLtoRNd9m5dSNNQZGmrPi79yHv3ws3Bda1vNDPy9LusXCpL86oaUUW30jCR83xKP5wKq4wlAeOcRFe2xMrDbXlmyT7K9q54IAmyMZ4ULSOINIJDrYcPvegfPh+DJj6OE4FGCW1TWO0WGyMtKpi61BmNjdObUOIqLnA9qt2DL/eNecuWC78zU00p8oufPWNX/FzNmYJqCpyObg7bNzUpogaQ3ORccMu2oQb3UkUQgCcvoUKw6PzGbubBbfX1fq7frrDYbcgT4J5m/HwbMKjixlfuNgg2bnXFlDZ5BrMp7UCwMdGdFrV1JvGLSGAH117rHcyurp4H8rjrFQwXV/Vq2nrk99xnXwEoirWu+F8UgiwcZNvVn+NZ8XckqJwRStm6I8QYSLUyAIwp4aidCBDQKQxl0YCSwXfQfca3CGE63PL5d60foEzoD9m1iuiG6ZtnlHdi3T2XJAn3Ugasn2L1euw5EdaSaPWFwP53WY9aHb+MgxwYx5Tuhf6dL2LBj/WI+3tlFtLj86Hu8A4lkNRZzyQ9dDiReEl4rGErCaxZEHgKHBL7fOIbBRNIBetiK357NI5uqrVYveXZuxXxc1yfO21KJa11g0hzFhtHBO71NKxIkeF4HaplsZk1SanJLi43GBzPmF3e0BZFWlKOL/c4uJ8xuPrA96/2jsAYS2Kh5uMTU6tOJjl/BRU8AGRbgQfcCyHEq0y9d/RcomCOLI1jHEjKStY5njiJr0ejurY+PGg4Aixs6L+TnU1gDiO6G7mdcz6iFZNCufz2hF8wPeTqDdWmdwHK8DjZCYsotUL9Gu5j+vcVYb+iwXzPw/o31ETkb8qIioib9rfIiI/LiK/LCL/UkT+UDj2h0Xkl+znh8Pnf1hEfsHO+XEZU2xfZBxA51M+Zcp7G6yQ8QURwFh7mxvHrZI0tcQx33D3/vK55RC0T4TzPavf/s9xR4AAytoxwrJFiDRjJNHyiLBQd1+EmvUkmWw32rsHAXPvWcwkxgLq7/r2e+zI/h+ZluneKwosVsCLWmu7j6bdjsgh0nYAlbp+2d/g+lDdnpskRpVSN1zGWNgffytaBn/LNULXRvRQlnrvswXfCQs+NxbFyWq4nF9ucX65QVkKbp/t8cGTHW5uKxz5nac7PLldcH1YcSjqG2NBC/CrWSD7tRY4Wwrhq62OCYPeHHIHpKBbyWIdLXlSu2fGOc+pZrN73gf55zAICVRLKsZWmJmvqaLhqERVy8+Qb1xfgLufmYvTQ92b1e7PQNVjLlxDXIpUCDumAVo+5hbrmsRkTutTsvd7VwzJn0ORv01NRL4C4AcA/Hr4+E8D+B77+REAP2HHvg7gxwD8UQB/BMCPichrds5PAPiL4bwffMER1H8ZEC9rp8lEU76VWA0bbCCTjC3GX+KipSXgLbiV+DK6xk9XkblfYlOOPKBhmF/ixwSLK1Ks0D03JlhGARhh0x/WWp5OE1aM2cyp93tX8sBeIANmIbmmazdqm9r5nGyzDmOxYxNLOttn8Rhqyt/5yhkuv/jdzia8L6YRo+W8UIDMqaHGpsSs9CZ8Yl+OiFJaFX2d+1iC+Mn1AU93C3a7BTtLptSiuHz1DNvzGb//K4/wfd/1Gn7fW5f4g198iH/nzQf4tx6d43KT8WDOOMsJ51PCZOCsbRZMxjLA2ErMgt9kwYTi2vsYa4kaP11FRZvLaIQOr0WRdHW3WNT4Y1NJbj1pWOs8NqcGQKHrjlT3voHbtdJ66IAZPq4BCFMUzjhAy4UQaY5jVEzG93WE/McSG0lbnaY7ibmgedg+6udlaZ+l5fJfA/hr6J/51wD8lNb2cwBeFZEvAfhTAH5WVd9X1W8C+FkAP2jfvaKqP6f1bf8pAH/2xbrXPi6RcrfRkdcoCgUmOCYRRL6tIxjlicVIy4UAggbTPXYNYICKxoRHclbxmvRXk+MLUbghMigPbq1hjNX/3FwqFEDdC6qBvbZ7+U/TyDgEOZQMYF9A01a7DcuC9/u1Ph9ubONGAZwuNMW5/+D2ADWhls1qqTkjLV+F2j5zSPib9VCKtphLTP5jn4xH8Jj6fGqW/XbKeP1yg4fbCW88qsKE/vR1qUH+dz64xZObAz64PeBqt+Dtq50TV1a3XamxJ6lWEeMjEUk2orzUiBr5NwudxeqOjFUcowTb/ykAGHvRvPFnNlqSADyewv+PdVT4zOkO43kxsM7jOFYqXUdNkgvA2DqItCS3aqIy1s1ViBcSgKLhfLeyvnVnyFFTvX95Lp9JPRcR+RqAr6vq/zl4sb4TwG+Ev3/TPvuwz3/zxOfP6/dHUC0ifOUrXzENqW3ckSiynlATIDRvIFSstQDSyCFjsSrAEC0Y3BLhXNaOEC0oSMi2sGcETi6ru8LzSp6B0qyDBHGBUwWWubUkVZeaEU7yfp5n1le0ViVHlLIAOdcXn8IrTcioN9NqtkhzIYYNn7k8rJ3RCeCjvmqNjVplcoGkDU4VXavesupOm7ONUaY6HwtdfxnJArjrqtA5Q4vilbMZh2dPTEhVrX6/KlSAWaoVUJ9X7WuTE27XFSj1OJJm+jjQ3FKaJyTVDibN3KDKKiC4mBNeP5uBNy/w9pMbnF9usJjg2G4nXJ5NeHg249H5jM2UsJ0SLjcTcgIOa82ap0hOQvr/VimT1SZpxYwgo5GKnu+Zb7gmEGlJxEJejSMsdTxeUhZo2nTXKwrUmjoZXLDR4uAx/NCtAdvMa2G25potKTtTRNEE0QUiU0Nsar1YtFZLnlFC1c5sY52szg/XCd+hOA6+19HK6wXfHW32CpSXiDfsRdqnZrmIyD8VkX914udrAP4LAH/j0+r7eU1V/66qflVVv/qFN9/oku6g5chVJMuu3su6d0031kRZtX53sECybzbU+DEkuFkfdMPxNzX3A4POdCPRDXS49esqBt4vS3SMLr0u7wCDZhjOZ20VnletG/rttatnw2RIp28pS0fuOLoYOP6DBelZn0a13fsS+7d59aqAwrwOu47T5cPzFOo41qMEy6LAw02GltUpZA7De80YAZmRGeOoLjJ4X921xfpf9507yRMUASfdLNrqweRUBem6FGhRPHu6x2/99hXefnyDX/rGU1zdLl7P5cntgt1aNfvVLLjbRZ26hcmgdO/xnlltk8H2WhSOzwdOjwLUY2i10JLQICxHi9Bh4HkD1pePNDlcSwzos44Ln5m7En0RFs8bOhTt1qcneJrlAbQ17C5iggXs2RN8QMqaaEGxXz82WjBaHEQigLvpirZ3+O7oX9p79VE/L0v71CwXVf2Tpz4XkX8PwHcDoNXyZQD/QkT+CICvA/hKOPzL9tnXAfzx4fN/Zp9/+cTxLzbGfsCASNhogUafqkipfeZCIVftPUk9QVJPvYF1hebKyXTk+/JAY4PbJmGyXuu3ftHXlxHrH4GaIoIRINkgzAtWzNDUBIjwvsP42ZcC3RxEVBctl87F0Pm6rCJnWbHyc7q81rUaOOZuyja/XUA9Zewt2ZGuqWq01BGPr1yh1q4rRCbIskNOW0g5ALLB+zcHPHzrS378binYTgkCtYTL7FnpjF/owg2zoacIQV9FLdaTXfMeG+HTydxYt0vBzWHF09sDnj3dQxKw363YbDPm7YwvvXqO803Gm5dbvHY242LO+NLDLa4PK7IIthPwYEq4HSppTklwaxaZZ7FzHWqBorEZ1zwXDZBbxj/qGokz27vFCoBkczU1ckpp1gBoLcdma51M2qIrVq1mEt2M9TpiitEMwN6PYusEFeqeUzKruV53NuvTu0oZqUTBtKDaLWZJFypLAHwt2RiRTJGZ6poxi4zCSYN1dRet3sLLIzhepH3bYy6q+guq+paq/l5V/b2orqw/pKq/DeCnAfyQoca+H8ATVX0bwM8A+AERec0C+T8A4Gfsuw9E5PsNJfZDAP7hi44lopO4oUffeYQdy4nz6gkN/QUMyYsUHBFZxUDj6AaiP3wYBzdzXsevzjwEUt9Tu0q59ecvOGnLw4s5bf2ljdfzcQANcdP52O3vAGzomvn8kwQ34/iCWs2WZhXV65xNqXMvUrvua9fUTWWTW84G74e++iTAr3zzGvtdzQFaS3VzOYLPEHGVaqV+tpjbiZorkWoifV5RJGqM6KSiismkJRFfDzcZ53PGqxcbvPJoi4sHG7z55gUAWALlHu98cItvfHCLb94ecLVf8O71HrulWnw7gzVzLiiQFXCSTcYeCCtmXGgtTLi0x8p1JWJ0PgZCsPlkUirPZ+xjRMal4XoIz7Ce34rY8fwIOmBcCLYuprC+NM8dy3ZUush6EWvLxEZkGo+nBRxrCXFNnoo3KtBAADa2Li3hkzbFvctz+UxiLh/S/hGAPwPglwFcA/gLAKCq74vI3wLwz+24v6mq79v//xKAvwfgHMA/tp9vqdW1H+MITcPx/4bjiioSA+iMUSi1nhp34KbKuvIUQCq13jjMZeLHWDyCx1OotRop9XNTwlyTU2XRrg0YAyH5JC0Evy/AYwOyHpBlgsrzK0GO57E+DcVihBmPmxAFXsrbI8FF7ZZzFIUz4dbJrkvY92xxgCzZLIipQlHThKQwMkuFsgZKUVy+eo7zObmrSoLmzGB+rOdSQBRV74NXzmOerB483OIREUS7ckqCN85nZBG8e73HxZzxxoPqTnp8vcfDswmvXsx4ervgy69d4OHZhC+/do43LzZ468EGDzYVZk3yypwEZyIOnaZri3kulHBRAM6JSo42AaiKkrIfrza/VC+d3LKsZjGY5RCab74phXUBaKoxSeUzdoVK3UpgS23IPg6+Z4xJsi+EtVsVHWPOsHtroIOEZG6/uD4dLCCpCs3VXkQbE+Of4Fz4O9zGdxc5LmwvU7D+RdpnLlzMeuH/FcBffs5xPwngJ098/vMAvvfj9N0FqU89dzOtkwUenR4lVZeTpM1JLcoRZaUey4AlacuZ81E/NJeAtOx7InOiyyuJoKQZUtSth6KKrAU5Z4tZmOYfXmhCgqs7R2zOjgWHezrCOOJ1qkAyYRHdBe7HL0gmICo7cO9OS/7y9hU+oQW5lhME8y7mLF3So6YJ66qYc5xHeHC3CjLbFEUgClxuJyxWHniTGtttUeCgFA4tiF203mmNadS/58SANbVe27ClMQwnqYmLRKSxNv12SnjzYoN3r/d4dDFjKYrNlPDkeo/zzYRXLzZ4/9kOOQme7hacGWklq1hu8qYixIqaaw7YmZG4sdLNszQBr2iFtI7WuAmOCtVNlgw5OSKuPsZm+aSwCWoQYPxOzdXmAXEtUBgp6rqDpE2bI3se0b1El50rXXxfTCglW085rGUCRmDPWiRZwmgbayxQdgTOQShaxncwWCl17SVXQDwX567cYqoo30ZqFxH5qwD+KwBfUNV3zbPz36Aq79cA/ryq/otPcwz3OEO/tRikHlukPlegp6QfzmcjJQuALjBOgEAjaGzsxrGPSOlSVCGWrZzWg7tguuxihecVyHpwWHDvYmh9dmPSVjRsHHt0TcRiZTyO/XM8vK89E/yYJBdAELyvOGP0jfO6B4PfxvlkngZrc7AqJHTghrO/H20nHHYtK3xvbiVVxUz3DFpQnL9Z8jhCbD1x0J5fWg8teTG41gAcuVK2JhD3S8HV7QHX+xVrKbjZLzjfTLjYZJxNGa+dz3h0NuHRdvaCYc8OqwMwyJlVkWGtP6ehQavHwrAdDzuUPjMfoEvNINjmOqzrQT2uUQP06jEIgiXSemhAADTtPuYyOSmkB9QXtwA9aB+h7UCNuYz5V1wDA2SfAXyyCIzr1OcmjMfXiaSjd5jj8EOew7z9Sdq3C4r8reQQfprtM7dcPrsmR/8bKVQ0aDQ8zjN8g2Z05Jr1WE3QtAHPpckpA+uKPM+QtWBOGRog0bSOFKxZPzfN6uQdoFkDJlQIiY4WA9YVabLSyxH/71r4sZO5+vhbLs+UBFjbHMV75thzqppfDbYnd3m5RactuHtUaEpStVwOBQKrjY7maskQ11zrfWeDScVjahIlAKdwYYyiZW1LJwiY5wLA0V70ohBtptMGKNSK67FxU4uld6vlU7nCvvToDDkJ3npli3c+qALqarfgfM7YLQW3y4onuwWXOqFoTRA9m5OhwxQbQ7SdTamyKdvnLjBQpYmiocrqfYgH9FUVSAkljN83WGkIN6CxMST7LjkOv7mqkn1UwgbO5xeP9c/Dc9aUISXEc3hOys0qlT63y61emMUULEkx2DT/hp9Xhdoqm2rdRzBAt+gK5ISeTavqrpp+CgLrOY05hDH+7DmEAH5ORF4VkS9Z3PpTaffacjnF/yVoQiaWC6amq2ET1edcx4+xqoyxebGwPLvvedSinEuMEMnBovLKmcP96/Z0DQAAHrJJREFUuNZFsz9cu34hYIJk+yzQYozXC5YPtVKHb4dNhPfvFPHh+kfaZ+i6IwKVRg1DQyZSrLdkSrOgiiUvRs4otN+vnc947YuXnuXPH0JgY/C+ItPMvSfiOSPcvHlfkfiRMRdS85N9mMzFbLdLwW9+8wb/5nee4dfeu8bbT27w5GaP9652uDms2E4JD+bs9DFzEjzcTDjLNc7U6PbDnHFug3BgcF4kfE4r1e6LbMTMaI+5Ip5QGTbTYFD63EY3os/DsHbi+xCp7ymogeMyE2u4l3ZtaZY1A/qhH4+5DAKA57f3M9zCsPbHdqxe3VFThZb1hX4AvCkiPx9+fuRFu4k5hMNXz8sV/NTaPbZc2stEk5iaipTF/MbHmcgepAYCkqsFEQGEBMmqYZ7BIJtlhUgB0qZLWlS+oCdgnSuAOWzy0T/MxtjLqtJ/ZlrbFLVJ+y6FPggdjfehw+8Pe+kIYlhVkcOG5oCIYB1VDZ8Q05Z0yfyalCZogN5mc84TZUQ0jW8YUrVxQYEa5FUB/PqTW2RzSY2Z6IfwZ5JWHpiIMea5EPXWsVCbRVYwbmj1GNakz6ban02ks8m4Oax465WzSkq5FHzXGxe4PJs8h2rOgtfOq2XJEsqbXBUCsU13KQo1i24K0ef4fKKbMCeBruY+UkLdiSYTd3056zPjGGYNJGidLwvy1+dQj/EgufVPhawguaVYc3CqNeK5SWE+6V7jni9qY4W9Q5z3dQ+kTXCjhaRKfzdXF/Icx8gmkNaDWUUDWGH4LVqwIjlZ6SdtCv1WLJd3VfWrz/tSRP4pgO848dWPouYQ/sC3PsK7b/dYuLRN2fUn2+iZ8+FCAu3lIQdYBjyz/siCCFYFA5edAgj4ZtoJpeFamqsb5lRzYeRjrph9j0BbHwT88F4r0kkgpQkz+sRrsF6P++C9Wl9qAhhpM/QPOGjA5or3yvklGAKy6efDXWfidTsME4FKgl9RYpDJ3SJF66SpKtZcwQ6cwevDirMHM0TEs/PjPNMaoFDZTsnAEpU0M83A3p5bRp+trWnCutQLMI6Tc0KxPJkbgxKzxPLl2YSr2wVvvbLF249vcbHJeP1yi/euaimFLzzY4qGRXJL+5ZVtdgqcfVHkpJZv01B0ihbDSNLKbfPxF20VPaNlRiQW0KyXpVQBk3RFMSVlLeo1Y2TdOzxZSt3cK3Px5Ovd4zDDhsz3JI0bNRWbQJAac2dWBSazlulCq2NKVclQRU4JoisaIqw0BUkVzKGpMZSmZDFOCWlURHzf2UfCsdfgYzcFdL0bt9gd5xB+au1eC5fGFAwLApAwUvp4BN1kR+cDKsdT6BvvUYeNNib2j9BXfEFl3SOnDVD6Fza1XddcPNKoWmzziBt2G1h1Ya1m+VAARN+yhjoa0eKYk3i1rNHK6hiT41yVFXma0fnCuvmrZgaP1Ty5Fu108yZxGZ8pBRBdoJo9oJ9T8uxs0uD8+99x6ZaLGzn2m9ronMWsy2LUKkZhb3T/dEVxeVTQxOSJhT6tUlFa2dxkl3PCviguNxnbXN1eX3hli/1ScLHJODe48Xe+fl4JM62jLIJXtjVPpJY8Lg5FrjQp9ZgEc4GhCfGo+ftzMVfgyH7qyYOuhDSXJs8DGvIqeUftu/YMh4ca1pOYIuJOAh5jVhG0xUUkvC+Ms62rAtnm1xIdSYI5pcmFCnACsMC4mJsiISnSYixjfSGmCaTcrNMxJvixmxaUZf/Rx32SLlR/AcBb/FtEfhXAVw0t9tMA/oqI/ANUAuAnn2a8BbjnwgWo1kGGeA6KomlScWG5tmhcXhFOy81V0OIhgnZMh933Y9pbyWM9YKnDho0QSIf51ce8kpAjwGvG3/Xapzfb7jsTHC0HR6BieTOBgJLz0CayCSKHbVteQhrmk0HbLmp0KpZgloOmCdmEbpZUc3OKbSTcvAJkFQD+zfs3ePLedUWKrVV7d8oTCFQLbhfgzKZxvzb6+mR/szEo7hxv5rqL6gaDyYdVUVDpUM6mBKBaMTf7FY8uquB+cn3w31804AHsnMe3B1xuJlwfqiVYi4JV9xjjRNGtRwG4WqCfbq1I5WJ7tN1LVYiWpcWGNGUXji1oX7m4KqxC4Ymz2o7hfHAtDXLHn0/NeGlWsvN80WKJiol9B0k4m6pQSfbM4zu4FlQ4danjIHw6JncyL62Tfwz8R1epAUVgwBG+s7MIoHcXhP82BvRPtZM5hJ9mu8fCxcz9suCAyVxGjQVZnA6iWglrdO1I7txKAIJroOV1MC9EStWmHbJprjYSPUYX3Ekd31wD7G0tigntJeiQZAYE6OI3IWZT0BBbMb8FYey8j8Q4TNm7C8yT0Cy34VTzmjN0g9lckfST6J4CwWBbeSIcYx1EMBVN0NxiLhV2C9f6NWWsS6m5MGrFwraNmXeMu9Bdlk1wRKLKQwEuZgmQXMKYOcjmuokoMxoJ9VlVYMD1YcXFnPHEVOqb/YrNVGMuOQlulxUXa8acEy43ucZopNG3bJLgEB4Sc3v4SUVrVaDBUup9ANXC2B8KUraSwvbcilaBN6W6DpZSqrKkocIkmhupAgTaM+f5gNWiL7VUAUVtVHD47EbcUKtZ37tmAYM5Y6rPHKlDSJbwDsIoYpIQIt2eR4F0iZ5uvPDZKbBqwkT0nAE9Riusi01+wvYtxlzupk99sRzCT6vdY7RYcB+YhjXWMmF+yGglRHRXrDPhlks4hrDfLu8EaO4DtEXPc0+Z4jx/RJ/FWi2njndf9onG/JYjck00pI5bDpZa7ZZZAEDAfhMl5BUOA7Iuul0izDSizuL2X7S6r1gumMFhAOaWEneL1c9Wd5kAwGEt2J5PvrHmVLPcW72WKgQOFpOgUADgG3Sdx/q7JknSv8ONrMUsVBtfGp/RnAVzSjWH5XzGfil4/XKDL7yyrUF+q9tyMSeDTGt7LnY9Pjm3QMIOqOh0g7q5a4sP8Z79DEluTVShyBiM+PlEhLV11XqIlVo5DAIBBqOlrbnwrAnt9kNOWNoaxhib526F+/ASCNKoWjwxdljzGs71eQj340ol7+MEkuwTNcW3ghZ7Kdo9Fi62KYQN8FQ2bqzyKAiL3C2F0h1DYaLD+S6QIsHk0GLyIpsO363hmNiHH2vuPR4zan081uHKtJzWgwuO1nlxGGlVmMVhoadaFFKdxyxNOBT1/Js4V7GCZmbswjasgxpzM1twN3odFTXGZG74lpS6nRLWpbqWDgUeXI/hh8ga7F0EuHEdY72XyCIcg7yO4BVafPY51IPz14cVN4cV+6XgZr/iyfUBj68PuLplnSBjPF6r8C6qmMJj4P0IWoAegMeFxJ9ts7K8SqM2ZgKH+epQJris9b7jPRuEOFozMS+FkG4nzgytrcvaF+cuySCAePwJK9uVhhNw5Thu9lEVvabkjUmXI3OBCzPA6IQEHTDBz7ubMseAopT1hX5elnaPhUtrUVOJWcasewEca2YSNLN6cF3gXsbXjussH0kVUmn/H/NNqm9fEPM5crBY2GcsMhYrQDazv7iQY4u5B/E719ambfd5GeaBfzM35cNoMVpyXsvXiRpiNya/f2nzaHDULI2ehVZKvA+iiOga48afpdZE+T1feIBaaAutOiYYx9BOC89yXL2RlkGtLkmYbvXxR4p3AM6kzFs5ywkXc/a8oletbstaFI8uZnzXmxd4/XKDQ1E82k64mGvyqJiVtWodc7zu6LaJGyHBCDmJuzXb8+jRbrRclO6wocgWN+zxnC6DnWCKsLnzOFoTbCQ/bYK3KTjdXFsfbCyqB/uO0Ok4Vl6nvgsmUIFOwZPhN6/t85PnI8Hl45I7KnOs31Key0vR7rFwUd/44qYsAJzpV5LXe/CzpHEccYHGjXi0XAAc0b901ogafYkWLwLVOis+xmgxUGB1r8NgcbBfAEeJaJHSxrW+soAJoyls9Dw/jsc3dw3zETYYf6lPWGBslXU43qt280j3FS2neB9+y0HQUCjx74s547d+5xl2CwWqaakCzOg191jXh5n2cePm06zxh0aYWNCSPBNa5cr4UnEud0vB+VyRYkCNvWQR/M7THd673nvi5u2huP//UFr+CWM7ziIgbbNcwlyKVsuGbsNUISJehyUKKFecrB4KrRrOuQuDE/su3VIxGZLnt/hOeHa2FosOQA4MxwSlp954W5+EqPPaLe9mcstFggAq2ltFrDMzeg2krJ21kyS8s3dkuagqymH/Qj8vS7vHwmVwJ1mrVoxpVuveYweK3i/bTjheeEcU99FEj/EG+/uUVs9j4/lVK5cjoTJu6qcoVaL2RtdURLkBTUh2FPOuxfZz1XGZhWv3HRfvn/PSwb+7eZCj5+AIpnFahjnvNpNcE+3euJjxqtGukFE4bsisOR8z+NewmXOTqeNvyYa8L1oueTAnWoXGGtO4mDMebjK2U7NUL+ZcrRhVfPcbDzDlhCe7BWup7q+cxK2lmkiZUIDADlDruXC+JumtwC4nx+JfpKqvxbWG3A1HMaJZNYxr8Lpl9Xl3bjcTSrFKZIzFdd8FOnxoMUBGj6KkdUSBwamlJSRoygZdoqOw8fvn+tTGX0Y4e7xXoB0zusXoGbgz8srPLZf701rQHb6w6wfrUXCSmi+AbrH638PxAI42zC7fIywiCplIrMfrdN9F8AA1w6DheTeuzWsfTziVEBZdGmFcXb+0TiTkxLj7g5IxVrTs74PEm3H8ReH3xLGO9wE065C1QaIg8c0jxBwoiH/r6Q5Pn+0D4WaNvdD/r+itp/7zXrge+euj68ZcbMUQXKrqcaIa8K/9XMyVnPLV8xm7pWAz1TLIcxYsa8HFnHA2JWwnsWC+YimcJ1pO4oH42QL11Xo0iG6w3LpYCdqG25UnVpJSRknfW6vNLRaEF5+njYnrysENdh3xeCP8feniGaHaY+yb/bNy5FEuDZpV4pZjWAt8n8dSz+3iqRNGXkrAfscKmHfWPneL3afW4htzkrqpcvMMKJR6aNXimtbbtFvPCekunU7/LYRPSpfgSA3J+4gvmf2m1qWh/077j8SA7M8Kd8XmFkiIo/RjFbfSvI/gOowvXHftoLHGueI4XCgNLY6bx7hACWNlH5yHjlo9AhFMyN0uBRfns9PTEzXG4lSC5g4T9PxiADpBSUp9otRaHKDFOZjYmJNgk5MH6G+XGpcoRXFzWFGK4mKuSZTXhxXXhxWvndf8l9ulYFmBbeAcWUrLvYm5KxQsXAMRqMGkzvq3usbvxdbsGRUMMS2bP2bxj/GNaGmMc+7Pb3y+wTqIrUvQHJSWEYnm7knGVMzaZzE7t6iCVeJjDOvS3y2+87w1i9O5YI2AnTtrnwuXe9ecQl96ArzZF3+/wI82yFP+2DHYH9sQgI8kmcL+TpwXXU+M60Tzvfutx5Dq2EZhOFbW9NsIL1hMDuV3Go/nb/NfI56nx8i2RO07jI3HMmGwjg2+4fkQGUuy/1Njb4zHwB944wLXNwfchkz/KdU6MdF9AtRNer+2eA6fvd+7jT4i/TpBpC1HZC1qLjPgfK5B/VWBlMTRY7PBkFetQmfVykF2ZhCxZSWCrLruiHgD0PVLIEK0JJoAEB+Xc3qVxUAQVXkieIAQ7xxjWOiVF2jIAwuB/AbpDf2E00bLwxM146VjjHJwpfo5sDysYB1FYRctsOg6c4t6sMgiapH1kyjYOqXJBN4nbdVQKi/087K0eyxc+Cb0m2NzB/VGcYRRdt+FheeusyFW0vU6LNSILPMiXRiQVDy2LP5dRGANd+RWyZFPG0MQ/cRnXXzGGYvT8THDuL3/lLuxj+i7EcXWbq7dO3M61OYzjiNaeUDd8Gs1wt7a/O2rPX7vFx+6oKpFwBRnuR4bZ2FONa6xSTW2UvNVQiExhI06qPOiDS3GmiJFYZnybW6Z+/JoW2HStxa9n7NgznVOLuZs8RYY2kywSa0o2ZxIoV+v5Ru5WxkUgPlkjRm6Fasbq+YEqTaXsI5gErQAva+zsPFHy45Ake47xlwC2stXxWBpyCBQKMB8PYdjR2sqPnMG9Gm5xH75zDUIC2fZ8JhLW8cRZHAn/GKq+P/bO/cYS4oqDn+/vndmd2GBFXmzRBCJikQeosFHCEGjgASIkQQlopFoosZXEAJiTPyDRKMRNQEMgoKGAGFFRBLxgSQaI/gWVmBlFcIjyENgQRdmZ24f/6iq7uq+M7uw3Ok7u/d8yc1Mv0+fru5TderUqXJu0wv6bS9MsHGJZNFGQxMSZS+taLnFWh/s1FRPocPAUMc6ZK0IDQ+IhHrwYzo+RWQ1XzCr3WsMtyqGrtU6f7p+usf5jknho4l2x3XzA5NaB6qW89oi1B+Mdqh2rqPKtdPSS9W5m91zbsh7gmJupuHC22PlFJvmBgzK5uj8hs8/ugBT30uqtc4bRBBdTf0iGKfKqMRtpXqV6y2/xlRRsHK6X7VKUtj0prmSldN9Vk7Xxnh2UM/RUlKPbS+gMR1z0HV0p8ZQ4srAW51TLMk81HKo7onWOZuuqhQRlpe9xvPLjLyy46r3pNDQhzmvfLXft0Qq840WeXz2qW+lcT+titZ850zuwdyF16605ONk5huw/JIwH+cyUeQzMkL2wcyis/KPZApLbsy/kjW3LZ3TQnixBrONGjLloOEiSiG8+UyU6fgkW9URm8sDjdZV+z7y0OFctrRvMk7G8D0mHeQd4Sm6Jz9f6ozNgyAGLaNHeqFTgESmu/RBT+HZZPcO0d2TQoAHdcd83oLKQ4jzzv6BBdfSxk1hkF2q8SdDUruBwlTB4cMoZsto3KEavV5kcqRnVczNVPdeufuoDcNcaTHlfBhAOTMoeT5mSl7eK1jeK1gx1WNuUPLUc7NVWv7kBgvzuNRh0f1GahqrMgz0YksrDIKsw3zzbAYNA5+X9Xn2GVRlL3M9pqwIsfLVCMO3VrhxqzzlwRf1+1Gva/fhqZxrhJ3nLZf0TqSO/CTjIDt3VYar/ZvbqlZwfI75WK+kh8rVbPUMraOIFjPABoMX9NtemOjcYmHAWb9uiSjOCR6xol9lHDZC7dEY7oDuFcLKohpfYNZnKiwNdWynwWDEjLdVKLJlfR9Wt0byVlJqxqdEk734Ny0neazohyWltDP9IElcloAy3o+mwYLfuUANOayaT6OeWbNKcqmwzRQTbvamKlkrA6Ck43pb0lXKv1Yfp/rcVkdB9eJ9U5IlPOxhc3kfSxHdhEFPPcGTz82yx87Lq9p5T3Wa/VI9RBg53usXFLJqsq3q41mNNQmZAtJxPQwrpiksLBNbBvksiP0izBzZK6ILq4wZkwtRFKIsjalC9HsFe8QBlGahlWMWRveXhMCAuTJEnyU33VSRT6CWWph1bqwkxxx1yyM5AcsiTUsQW21FQRH1mWr2KTNwKk/VrJEqyBNOFtEdlfaNxbbhhipKw5SeXSiDoYUR9JGSUdbXCtMp9IyqfGPNlkQKwK5mSG3JWkRdGSHxpFkcfEm4R1MRWplYeK+iW494P1PRPVu9p43a4UvAus8tNm4muOViQzNBNmrd0KhFKVvXyO+kogqZTDX+fB76zdHuF6laFZlMjdH0rVDN9r7VFa3OiZYPeqw2xxfJYu0x78jNz9s4ZyZjW472cXlusVwfeejoUCurOmFtIELfS/yYFK0IqLbrTHXYdBgR32fVijDbp0j9KJne43GpfyedrbRmVFaKfBvEVkEd+ks9pwy1SyVULqw614aZWXaY6sWWUZgjfVm/CEbGQlr+Dc/PMTNXMhsTpE4XiqPz69bQwELG5aS7dP+pL6hyhcVO79SqGZT1cW0sk73uw+o1XYdWz22kmKIndyXnz6zxGLN3Krmu8tkm0yUaZSZGcjWFrJeHymXWX2rxmlXotoqsJWa1C1AFhS1wH6m1Ql2eR5n+xaPFJob5HOvDHflDBTpzEaUXotFPQkgn0Z7q1RY4ZzJK7QLcMHKx2d4e+T/kUojyVX0b2Qh94rZ0/fTB31y/TDuNTTsKrf2BSNdIKU+GWMC9kD4GlZHMPpD5R38+huSP139+tmTfXVc0klBWc9xHo5D6bdKEYSl5ZRnvLRiQcEw+niJFZ6XcVnmkUkp9n/bdc8dl1fV3XtZnWT8ZTzEzV7JxtmSX5X12WtZjxVSoLc+VsU9Fdebm6SLM+yKCKy/pPXXQ5/cf9FIbu2Qg82zEscHTOCbdU3Wq1jaoc701nkcqw63nkK6VSCnzc1dbYj7DMWi9J/P9n65V3YrVmQZyeZS5ZnPD0yhWWX9MXunzQZRbh8wWeGu3cyQ9C6wbtxwZuwFPjFuIjKUkz1KSBVyezbGUZIHRyfMKM9t9aw+WdHOU5YXwhJkdt7XXWipMsnH54+bmqe4al2dhlpIs4PJsjqUkCyw9eSaJCXaLOY7jOIuFGxfHcRxn5Eyycbl03AK0cHkWZinJAi7P5lhKssDSk2dimNg+F8dxHGfxmOSWi+M4jrNIuHFxHMdxRs5EGhdJx0laJ2m9pHM7vvZ+km6VdJekv0v6dFy/q6RfSLo3/n1Zx3L1JP1F0k1x+QBJt0cdXStpukNZVklaI+keSXdLevO49CPps/E5rZV0taTlXepG0nclPSZpbbZuXl0o8K0o1x2SjuhInq/GZ3WHpB9JWpVtOy/Ks07Su7qQJ9t2liSTtFtcXnT9ODUTZ1wk9YCLgOOBg4H3STq4QxHmgLPM7GDgKOAT8frnAreY2UHALXG5Sz4N3J0tfwW40MxeBTwFnNmhLN8Ebjaz1wCHRrk614+kfYFPAUea2SFADziNbnVzBdAeULeQLo4HDoq/jwKXdCTPL4BDzOz1wD+A8wBiuT4NeF085uL4/i22PEjaD3gn8EC2ugv9OJGJMy7Am4D1ZvYvM9sEXAOc3NXFzewRM/tz/P9Zwodz3yjDlXG3K4FTupJJ0mrg3cBlcVnAscCaruWRtAtwNHA5gJltMrOnGZ9++sAKSX1gB+AROtSNmf0aeLK1eiFdnAx83wK3Aask7b3Y8pjZz80s5da/DVidyXONmc2Y2X3AesL7t6jyRC4EzqGZJWnR9ePUTKJx2Rd4MFt+KK7rHEn7A4cDtwN7mtkjcdO/gT07FOUbhBcxJW16OfB09sHoUkcHAI8D34tuussk7cgY9GNmDwNfI9R+HwE2AH9ifLpJLKSLpVC2Pwz8dJzySDoZeNjM/tbatBT0MzFMonFZEkhaCfwQ+IyZPZNvsxAf3kmMuKQTgcfM7E9dXO8F0AeOAC4xs8OB/9FygXWln9iXcTLB4O0D7Mg8Lphx0mVZ2RKSzie4fa8aoww7AJ8HvjguGZzAJBqXh4H9suXVcV1nSJoiGJarzOz6uPrR1ESPfx/rSJy3AidJup/gIjyW0OexKrqCoFsdPQQ8ZGa3x+U1BGMzDv28A7jPzB43s1ngeoK+xqWbxEK6GFvZlvQh4ETgdKsHz41DngMJlYG/xTK9GvizpL3GJM/EMonG5Q/AQTHiZ5rQ4XhjVxeP/RmXA3eb2dezTTcCH4z/fxD4cRfymNl5ZrbazPYn6OJXZnY6cCvw3jHI82/gQUmvjqveDtzFePTzAHCUpB3ic0uyjEU3GQvp4kbgjBgVdRSwIXOfLRqSjiO4VU8ys40tOU+TtEzSAYSO9N8vpixmdqeZ7WFm+8cy/RBwRCxXY9HPxGJmE/cDTiBEtfwTOL/ja7+N4Ma4A/hr/J1A6Oe4BbgX+CWw6xj0cgxwU/z/lYQPwXrgOmBZh3IcBvwx6ugG4GXj0g/wJeAeYC3wA2BZl7oBrib098wSPpRnLqQLwlQkF8VyfSchyq0LedYT+jJSef52tv/5UZ51wPFdyNPafj+wW1f68V/98/QvjuM4zsiZRLeY4ziOs8i4cXEcx3FGjhsXx3EcZ+S4cXEcx3FGjhsXx3EcZ+S4cXEcx3FGjhsXZ5smpuf/ePx/H0lrtnSM4ziLj49zcbZpYvLPmyykxHccZ4nQ3/IujrOk+TJwoKS/Ekasv9bMDom5rk4hJJs8iJDdeBr4ADADnGBmT0o6kDBqe3dgI/ARM7tnvgtJugJ4BjgS2As4x8zWxPxe1wI7E96pj5nZbxbpfh1nm8DdYs62zrnAP83sMODs1rZDgPcAbwQuADZayLT8O+CMuM+lwCfN7A3A54CLt3C9vQkpfE4kGDaA9wM/izIcSkiB4jgTjbdcnO2ZWy1MyPaspA3AT+L6O4HXx2kP3gJcF/JSAiF32Oa4wcxK4C5JaR6VPwDfjdmubzAzNy7OxOMtF2d7Zib7v8yWS0LFqiBM/HVY9nvtizinoJoN8WhC+vYrJJ0x34GOM0m4cXG2dZ4FdtqaAy1M0nafpFMhTIcg6dAXex5JrwAeNbPvEKaKPmJr5HGc7Ql3iznbNGb2H0m/lbQWuHsrTnE6cImkLwBThAnT2tPjboljgLMlzQL/pe7PcZyJxUORHcdxnJHjbjHHcRxn5LhbzHFaSDofOLW1+jozu2Ac8jjOtoi7xRzHcZyR424xx3EcZ+S4cXEcx3FGjhsXx3EcZ+S4cXEcx3FGzv8BjW4X9agxpCkAAAAASUVORK5CYII=\n", + "text/plain": [ + "<Figure size 432x288 with 2 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "pes.PES_W_tof.mean(dim='sa3_pId').plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Signal normalization" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The intensity is slowly varying as a function of train Id. The main reason is the oscillating pressure in the PES, but it can also be related to pulse energy variations. We can plot the pressure and pulse energy as a function of train:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "<matplotlib.collections.QuadMesh at 0x2b3357f7cbe0>" + ] + }, + "execution_count": 7, + "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" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 2 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "pes.PES_pressure.plot()\n", + "plt.tight_layout()\n", + "\n", + "plt.figure()\n", + "pes.XTD10_SA3.plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Normalization can be performed as follows:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "pes['PES_W_norm'] = pes['PES_W_tof'] / (pes['PES_pressure'] * pes['XTD10_SA3'])\n", + "pes['PES_E_norm'] = pes['PES_E_tof'] / (pes['PES_pressure'] * pes['XTD10_SA3'])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 2 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "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.figure()\n", + "pes.PES_W_norm.mean(dim='sa3_pId').plot()\n", + "\n", + "# first 10 spectra of first train\n", + "plt.figure()\n", + "plt.plot(pes.time_ns, pes.PES_W_norm.isel(trainId=0, sa3_pId=slice(10)).T)\n", + "plt.xlabel('time_ns');" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "xfel", + "language": "python", + "name": "xfel" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/doc/howtos.rst b/doc/howtos.rst index e74759bcc4721b710876642b84e7c9f649b9ec46..7d3ae1ded8e4ec171c2bcf3a02b23d759786e8eb 100644 --- a/doc/howtos.rst +++ b/doc/howtos.rst @@ -30,6 +30,11 @@ Detectors that produce one point per pulse, or 0D detectors, are all handled in * :doc:`extract data from point detectors <point_detectors/point_detectors>`. +Photo-Electron Spectrometer (PES) ++++++++++++++++++++++++++++++++++ + +* :doc:`Basic analysis of PES spectra <PES_spectra_extraction>`. + routines -------- diff --git a/src/toolbox_scs/constants.py b/src/toolbox_scs/constants.py index b4ad8c0118328a26dea71068efc7014c0caa3781..28587b5e544d7dfd66adf0ca88d22d2c0e92f298 100644 --- a/src/toolbox_scs/constants.py +++ b/src/toolbox_scs/constants.py @@ -73,6 +73,75 @@ mnemonics = { "UND": ({'source': 'SA3_XTD10_UND/DOOCS/PHOTON_ENERGY', 'key': 'actualPosition.value', 'dim': None},), + + # PES + "PES_N_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_4_A.raw.samples', + 'dim': ['PESsampleId']},), + "PES_NNE_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_4_B.raw.samples', + 'dim': ['PESsampleId']},), + "PES_NE_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_4_C.raw.samples', + 'dim': ['PESsampleId']},), + "PES_ENE_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_4_D.raw.samples', + 'dim': ['PESsampleId']},), + "PES_E_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_3_A.raw.samples', + 'dim': ['PESsampleId']},), + "PES_ESE_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_3_B.raw.samples', + 'dim': ['PESsampleId']},), + "PES_SE_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_3_C.raw.samples', + 'dim': ['PESsampleId']},), + "PES_SSE_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_3_D.raw.samples', + 'dim': ['PESsampleId']},), + "PES_S_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_1_A.raw.samples', + 'dim': ['PESsampleId']},), + "PES_SSW_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_1_B.raw.samples', + 'dim': ['PESsampleId']},), + "PES_SW_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_1_C.raw.samples', + 'dim': ['PESsampleId']},), + "PES_WSW_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_1_D.raw.samples', + 'dim': ['PESsampleId']},), + "PES_W_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_2_A.raw.samples', + 'dim': ['PESsampleId']},), + "PES_WNW_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_2_B.raw.samples', + 'dim': ['PESsampleId']},), + "PES_NW_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_2_C.raw.samples', + 'dim': ['PESsampleId']},), + "PES_NNW_raw": ({'source': 'SA3_XTD10_PES/ADC/1:network', + 'key': 'digitizers.channel_2_D.raw.samples', + 'dim': ['PESsampleId']},), + "PES_pressure": ({'source': 'SA3_XTD10_PES/GAUGE/G30310F', + 'key': 'value.value', + 'dim': None},), + "PES_RV": ({'source': 'SA3_XTD10_PES/MDL/DAQ_MPOD', + 'key': 'u215.value', + 'dim': None},), + "PES_N2": ({'source': 'SA3_XTD10_PES/DCTRL/V30300S_NITROGEN', + 'key': 'interlock.AActionState.value', + 'dim': None},), + "PES_Ne": ({'source': 'SA3_XTD10_PES/DCTRL/V30310S_NEON', + 'key': 'interlock.AActionState.value', + 'dim': None},), + "PES_Kr": ({'source': 'SA3_XTD10_PES/DCTRL/V30320S_KRYPTON', + 'key': 'interlock.AActionState.value', + 'dim': None},), + "PES_Xe": ({'source': 'SA3_XTD10_PES/DCTRL/V30330S_XENON', + 'key': 'interlock.AActionState.value', + 'dim': None},), + # DPS imagers "DPS1CAM2": ({'source': 'SCS_BLU_DPS-1/CAM/IMAGER2CAMERA:daqOutput', 'key': 'data.image.pixels', @@ -80,6 +149,7 @@ mnemonics = { "DPS2CAM2": ({'source': 'SCS_BLU_DPS-2/CAM/IMAGER2CAMERA:daqOutput', 'key': 'data.image.pixels', 'dim': ['dps2cam2_y', 'dps2cam2_x']},), + # XTD10 XGM # keithley "XTD10_photonFlux": ({'source': 'SA3_XTD10_XGM/XGM/DOOCS', diff --git a/src/toolbox_scs/detectors/__init__.py b/src/toolbox_scs/detectors/__init__.py index 9b899f1ee005de3ef18b85ff1ed0d83ade2487fc..a34b0b9fb6dd0f3ae3b6a4b6868c615ecb5dcff9 100644 --- a/src/toolbox_scs/detectors/__init__.py +++ b/src/toolbox_scs/detectors/__init__.py @@ -4,6 +4,7 @@ from .digitizers import ( get_peaks, get_tim_peaks, get_laser_peaks, get_digitizer_peaks, check_peak_params) from .bam_detectors import get_bam +from .pes import get_pes_tof, get_pes_params from .dssc_data import ( save_xarray, load_xarray, get_data_formatted, save_attributes_h5) from .dssc_misc import ( @@ -26,6 +27,8 @@ __all__ = ( "get_digitizer_peaks", "check_peak_params", "get_bam", + "get_pes_tof", + "get_pes_params", "save_xarray", "load_xarray", "get_data_formatted", @@ -66,7 +69,8 @@ clean_ns = [ 'FastCCD', 'xgm', 'digitizers', - 'bam_detectors' + 'bam_detectors', + 'pes' ] diff --git a/src/toolbox_scs/detectors/pes.py b/src/toolbox_scs/detectors/pes.py new file mode 100644 index 0000000000000000000000000000000000000000..49d73f7d9935659e5aa5cf04723fb82e6e96893c --- /dev/null +++ b/src/toolbox_scs/detectors/pes.py @@ -0,0 +1,163 @@ +""" Beam Arrival Monitor related sub-routines + + Copyright (2021) SCS Team. + + (contributions preferrably comply with pep8 code structure + guidelines.) +""" + +import logging +import numpy as np +import xarray as xr +import extra_data as ed + +from ..misc.bunch_pattern_external import is_sase_3 +from ..mnemonics_machinery import (mnemonics_to_process, + mnemonics_for_run) + + +log = logging.getLogger(__name__) + + +def get_pes_tof(run, mnemonics=None, merge_with=None, + start=31390, width=300, origin=None, width_ns=None, + baseStart=None, baseWidth=80, + sample_rate=2e9): + """ + Extracts time-of-flight spectra from raw digitizer traces. The + tracesvare either loaded via ToolBox mnemonics or those in the + optionally provided merge_with dataset. The spectra are aligned + by pulse Id using the SASE 3 bunch pattern, and have time coordinates + in nanoseconds. + + Parameters + ---------- + run: extra_data.DataCollection + DataCollection containing the digitizer data + mnemonics: str or list of str + mnemonics for PES, e.g. "PES_W_raw" or ["PES_W_raw", "PES_ENE_raw"]. + If None and no merge_with dataset is provided, defaults to "PES_W_raw". + merge_with: xarray Dataset + If provided, the resulting Dataset will be merged with this + one. The PES variables of merge_with (if any) will also be + computed and merged. + start: int + starting sample of the first spectrum in the raw trace. + width: int + number of samples per spectra. + origin: int + sample of the raw trace that corresponds to time-of-flight origin. + If None, origin is equal to start. + width_ns: float + time window for one spectrum. If None, the time window is defined by + width / sample rate. + baseStart: int + starting sample of the baseline. + baseWidth: int + number of samples to average (starting from baseStart) for baseline + calculation. + sample_rate: float + sample rate of the digitizer. + + Returns + ------- + pes: xarray Dataset + Dataset containing the PES time-of-flight spectra (e.g. "PES_W_tof"), + merged with optionally provided merg_with dataset. + + Example + ------- + >>> import toolbox_scs as tb + >>> import toolbox_scs.detectors as tbdet + >>> run, ds = tb.load(2927, 100, "PES_W_raw") + >>> pes = tbdet.get_pes_tof(run, merge_with=ds) + """ + def to_processed_name(name): + return name.replace('raw', 'tof') + to_process = mnemonics_to_process(mnemonics, merge_with, + 'PES', to_processed_name) + run_mnemonics = mnemonics_for_run(run) + # check if bunch pattern table exists + if bool(merge_with) and 'bunchPatternTable' in merge_with: + bpt = merge_with['bunchPatternTable'] + elif 'bunchPatternTable' in run_mnemonics: + bpt = run.get_array(*run_mnemonics['bunchPatternTable'].values()) + elif 'bunchPatternTable_SA3' in run_mnemonics: + bpt = run.get_array(*mnemonics['bunchPatternTable_SA3'].values()) + else: + bpt = None + + mask = is_sase_3(bpt).assign_coords({'pulse_slot': np.arange(2700)}) + mask_on = mask.where(mask, drop=True) + npulses = mask.sum(dim='pulse_slot')[0].values + if npulses > 1: + period = mask_on['pulse_slot'].diff(dim='pulse_slot')[0].values + else: + period = 0 + if origin is None: + origin = start + if baseStart is None: + baseStart = start + if width_ns is not None: + width = int(sample_rate * width_ns * 1e-9) + time_ns = 1e9 * (np.arange(start, start + width) - origin) / sample_rate + + ds = xr.Dataset() + for m in to_process: + if bool(merge_with) and m in merge_with: + arr = merge_with[m] + else: + arr = run.get_array(*run_mnemonics[m].values(), name=m) + spectra = [] + for p in range(npulses): + begin = p*period*440 + start + end = begin + width + baseBegin = p*period*440 + baseStart + baseEnd = baseBegin + baseWidth + pes = arr.isel(PESsampleId=slice(begin, end)) + bl = arr.isel( + PESsampleId=slice(baseBegin, baseEnd)).mean(dim='PESsampleId') + spectra.append(pes - bl) + spectra = xr.concat(spectra, + dim='sa3_pId').rename(m.replace('raw', 'tof')) + ds = ds.merge(spectra) + if len(ds.variables) > 0: + ds = ds.assign_coords({'sa3_pId': mask_on['pulse_slot'].values}) + ds = ds.rename({'PESsampleId': 'time_ns'}) + ds = ds.assign_coords({'time_ns': time_ns}) + if bool(merge_with): + ds = merge_with.drop(to_process, + errors='ignore').merge(ds, join='inner') + + return ds + + +def get_pes_params(run): + """ + Extract PES parameters for a given extra_data DataCollection. + Parameters are gas, retardation voltage. + + Parameters + ---------- + run: extra_data.DataCollection + DataCollection containing the digitizer data + + Returns + ------- + params: dict + dictionnary of PES parameters + """ + params = {} + sel = run.select_trains(ed.by_index[:20]) + mnemonics = mnemonics_for_run(run) + for gas in ['N2', 'Ne', 'Kr', 'Xe']: + arr = sel.get_array(*mnemonics[f'PES_{gas}'].values()) + if arr[0] == 0: + params['gas'] = gas + break + if 'gas' not in params: + params['gas'] = 'unknown' + log.warning('Could not find which PES gas was used.') + arr = sel.get_array(*mnemonics['PES_RV'].values()) + params['ret_voltage'] = float(arr[0].values) + return params diff --git a/src/toolbox_scs/mnemonics_machinery.py b/src/toolbox_scs/mnemonics_machinery.py index dac8d1a07e72275d394391bf5a951f88ff22effa..f09e14bc32b8de35bdb916b1151d069e1735d677 100644 --- a/src/toolbox_scs/mnemonics_machinery.py +++ b/src/toolbox_scs/mnemonics_machinery.py @@ -117,6 +117,10 @@ def mnemonics_to_process(mnemo_list, merge_with, detector, func=None): det_mnemos = [m for m in _mnemonics if 'FastADC' in m] default_mnemo = 'FastADC5raw' default_processed = 'FastADC5peaks' + if detector == 'PES': + det_mnemos = [m for m in _mnemonics if 'PES' in m and 'raw' in m] + default_mnemo = 'PES_W_raw' + default_processed = 'PES_W_tof' dig_dims = list(set([_mnemonics[m][0]['dim'][0] for m in det_mnemos])) processed_mnemos = list(set([func(m) for m in det_mnemos]))