From 6ad97e1271c416321c35563bd2c25f786739ed46 Mon Sep 17 00:00:00 2001 From: canavarrete01 <100876091+canavarrete01@users.noreply.github.com> Date: Wed, 20 Aug 2025 17:05:54 -0400 Subject: [PATCH 01/11] Query Demo Complete, Working Viz demo --- QueryDemo.ipynb | 3670 +++++++++++++++++++++++++++++++++++++++++ VisualizingDemo.ipynb | 131 ++ 2 files changed, 3801 insertions(+) create mode 100644 QueryDemo.ipynb create mode 100644 VisualizingDemo.ipynb diff --git a/QueryDemo.ipynb b/QueryDemo.ipynb new file mode 100644 index 000000000..57b55484c --- /dev/null +++ b/QueryDemo.ipynb @@ -0,0 +1,3670 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "1ffa299a", + "metadata": {}, + "source": [ + "## Demos" + ] + }, + { + "cell_type": "markdown", + "id": "4105070b", + "metadata": {}, + "source": [ + "### Load in the Database" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "f244041f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 3619/3619 [14:19<00:00, 4.21it/s]\n" + ] + } + ], + "source": [ + "from astrodb_utils import load_astrodb\n", + "from simple import REFERENCE_TABLES\n", + "\n", + "SCHEMA_PATH = \"simple/schema.yaml\" \n", + "db = load_astrodb(\n", + " \"SIMPLE.sqlite\", \n", + " recreatedb=True, \n", + " reference_tables=REFERENCE_TABLES, \n", + " felis_schema=SCHEMA_PATH\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "7391b753", + "metadata": {}, + "source": [ + "## Query the Database" + ] + }, + { + "cell_type": "markdown", + "id": "bc978748", + "metadata": {}, + "source": [ + "### Using Astrodbkit Query Functions" + ] + }, + { + "cell_type": "markdown", + "id": "0ab71b4b", + "metadata": {}, + "source": [ + "##### What is Astrodbkit? (Link: https://astrodbkit.readthedocs.io/en/latest/#exploring-the-schema)\n", + "##### AstrodbKit is an astronomical database handler code built on top of SQLAlchemy. We can implement various functions from the python package to query the database in robust ways." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "73179c36", + "metadata": {}, + "outputs": [], + "source": [ + "from astropy.coordinates import SkyCoord # High-level coordinates\n", + "from astropy.coordinates import ICRS, Galactic, FK4, FK5 # Low-level frames\n", + "from astropy.coordinates import Angle, Latitude, Longitude # Angles\n", + "import astropy.units as u" + ] + }, + { + "cell_type": "markdown", + "id": "15f7f93f", + "metadata": {}, + "source": [ + "#### Lets check the tables in the database" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b4fc7b20", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CompanionList\n", + "CompanionParameters\n", + "Sources\n", + "Publications\n", + "CompanionRelationships\n", + "Gravities\n", + "Regimes\n", + "Instruments\n", + "Telescopes\n", + "ModeledParameters\n", + "Parameters\n", + "Names\n", + "Parallaxes\n", + "Photometry\n", + "PhotometryFilters\n", + "ProperMotions\n", + "RadialVelocities\n", + "RotationalParameters\n", + "Spectra\n", + "SpectralTypes\n", + "Versions\n" + ] + } + ], + "source": [ + "for table in db.metadata.tables:\n", + " print(table)" + ] + }, + { + "cell_type": "markdown", + "id": "22c1a568", + "metadata": {}, + "source": [ + "#### Now that we know the tables,lets do a more detailed search into the tables and their content\n", + "\n", + "#### Lets look at the sources available within SIMPLE" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "0aaadc2c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('2MASS J03552014+1439297', 58.83375, 14.658056, None, None, None, 'Cruz07', None, None),\n", + " ('1RXS J115928.5-524717', 179.864, -52.7886, None, '2000', None, 'Hamb04.265', None, None),\n", + " ('ULAS J114925.58-014343.2', 177.3569, -1.7287, None, '2000', 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-57.693778, None, None, '0652-5741', 'Reid08.1290', None, None),\n", + " ('2MASSI J0335020+234235', 53.7587, 23.7098, None, '2000', None, 'Gizi00', None, None),\n", + " ('2MASS J23433470-3646021', 355.89461, -36.767277, None, None, '2343-3646', 'Gagn15.33', None, None),\n", + " ('SDSS J150844.43+433955.5', 227.1855, 43.6654, None, '2000', None, 'West08', None, None),\n", + " ('2MASS J07441029+5130264', 116.12621, 51.499972, None, None, None, 'Reid08.1290', None, None),\n", + " ('2MASS J13285503+2114486', 202.229292, 21.246833, None, None, '1328+2114', 'Kirk99.802', None, None),\n", + " ('CWISEP J104104.20+221613.6', 160.26749999999998, 22.270444444444443, None, None, None, 'Meis20.74', None, None),\n", + " ('2MASS J02081833+2542533', 32.076375, 25.714806, None, None, '0208+2542', 'Kirk00', None, None),\n", + " ('SDSS J093215.46+345624.8', 143.0644, 34.9403, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('2MASS J23072655+8753294', 346.8634, 87.8916, None, '2000', None, 'Reid08.1290', None, None),\n", + " ('WISEA J172907.10-753017.0', 262.2796, -75.5047, None, '2000', None, 'Tinn18', None, None),\n", + " ('2MASS J02132062+3648506C', 33.3326, 36.8104, None, '2000', None, 'Deac17.1126', None, None),\n", + " ('HIP 6217C', 19.9361, 0.1051, None, '2000', None, 'Deac14.119', None, None),\n", + " ('2MASS J03101401-2756452', 47.5583745, -27.945889, None, None, '0310-2756', 'Cruz07', None, None),\n", + " ('WISEA J221841.38+143003.4', 334.67241666666666, 14.500944444444444, None, None, None, 'Meis20.123', None, None),\n", + " ('HIP 78916B', 241.6345, 22.8927, None, '2000', None, 'Deac14.119', None, None),\n", + " ('WISE J040418.01+412735.6', 61.0753, 41.461, None, '2000', None, 'Cast13', None, None),\n", + " ('2MASS J10433508+1213149', 160.896165, 12.220806, None, None, '1043+1213', 'Kirk10', None, None),\n", + " ('2MASS J02583123-1520536', 44.630153, -15.348225, None, None, '0258-1520', 'Gagn15.33', None, None),\n", + " ('SDSS J155707.09+283531.5', 239.2795825, 28.5922409, None, None, None, 'Adel08', None, 'Discovery reference from the BONES archive'),\n", + " ('ULAS J075335.23+200622.4', 118.3969223, 20.1066599, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", + " ('SDSS J161928.31+005011.9', 244.8679, 0.8366, None, '2000', None, 'Hawl02', None, None),\n", + " ('ULAS J085139.03+005340.9', 132.9128, 0.8952, None, '2000', None, 'Burn10.1885', None, None),\n", + " ('2MASS J15515237+0941148', 237.96821, 9.6874444, None, None, '1551+0941', 'Reid08.1290', None, None),\n", + " ('CFBDS J111807-064016', 169.5297, -6.6711, None, '2000', None, 'Reyl14', None, None),\n", + " ('SDSS J021128.25+141003.8', 32.8677, 14.1677, None, '2000', None, 'Hawl02', None, None),\n", + " ('CWISE J212342.88+655615.6', 320.9286959, 65.9376939, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('2MASS J14090310-3357565', 212.2629165, -33.965694, None, None, '1409-3357', 'Kirk08', None, None),\n", + " ('SDSS J161349.44+134608.6', 243.4561, 13.769, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('ULAS J013117.53-003128.6', 22.8232, -0.5247, None, '2000', None, 'Chiu08', None, None),\n", + " ('2MASS J01231125-6921379', 20.796894, -69.36055, None, None, '0123-6921', 'Cruz07', None, None),\n", + " ('CFBDS J003402-005205', 8.5115417, -0.86835194, None, None, '0034-0052', 'Warr07.1400', None, None),\n", + " ('ULAS J024557.88+065359.4', 41.4911, 6.8998, None, '2000', None, 'Burn13', None, None),\n", + " ('SDSS J075004.93+330618.0', 117.5202, 33.1048, None, '2000', None, 'West08', None, None),\n", + " ('2MASS J00310928+5749364', 7.7921, 57.8267, None, None, '0031+5749', 'Best15', None, None),\n", + " ('[LDC2013] J160918.68-222923.9', 242.32787, -22.48992, None, None, '1609-2229', 'Lodi07.372', None, None),\n", + " ('ULAS J223302.03+062030.8', 338.258498, 6.341901, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", + " ('CWISEP J235644.78-481456.3', 359.18658333333326, -48.24897222222222, None, None, None, 'Meis20.74', None, None),\n", + " ('2MASS J20025073-0521524', 300.711375, -5.364556, None, None, '2002-0521', 'Cruz07', None, None),\n", + " ('SDSS J140023.12+433822.3', 210.0966, 43.6394, None, '2000', None, 'Chiu06', None, None),\n", + " ('SDSS J154508.93+355527.3', 236.2872, 35.9245, None, '2000', None, 'Chiu06', None, None),\n", + " ('2MASS J22114470+6856262', 332.9361, 68.9406, None, '2000', None, 'Kirk10', None, None),\n", + " ('SDSS J154009.36+374230.3', 235.0392, 37.7088, None, '2000', None, 'Chiu06', None, None),\n", + " ('SDSS J125550.62+170059.7', 193.9611, 17.0162, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('2MASSI J1546271-332511', 236.6132505, -33.41975, None, None, '1546-3325', 'Burg02.421', None, None),\n", + " ('2MASS J14243909+0917104', 216.1628745, 9.286222, None, None, '1424+0917', 'Beck88', None, None),\n", + " ('2MASS J04150602+8230557', 63.7763, 82.5154, None, '2000', None, 'Kirk10', None, None),\n", + " ('EQ J1322-2340', 200.640255, -23.671417, None, None, '1322-2340', 'Kirk11', None, None),\n", + " ('SDSSp J033017.77+000047.8', 52.5738, 0.013, None, '2000', None, 'Schn02', None, None),\n", + " ('ULAS J134612.77+082503.3', 206.5533, 8.4176, None, '2000', None, 'Maro15', None, None),\n", + " ('2MASS J03274091-3148156', 51.9206, -31.8043, None, '2000', None, 'Fahe09', None, None),\n", + " ('2MASS J12191495+0810307', 184.8123102, 8.1751871, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", + " ('WISE J195500.42-254013.9', 298.7518, -25.6704, None, '2000', None, 'Mace13.6', None, None),\n", + " ('2MASS J04532647-1751543', 73.360292, -17.865083, None, None, '0453-1751', 'Cruz03', None, None),\n", + " ('2MASS J13204159+0957506', 200.17331, 9.964056, None, None, '1320+0957', 'Reid08.1290', None, None),\n", + " ('ULAS J111929.43+002133.1', 169.8726, 0.3592, None, '2000', None, 'Maro15', None, None),\n", + " ('SDSS J154501.09+033714.3', 236.2544, 3.6206, None, '2000', None, 'West08', None, None),\n", + " ('ULAS J222958.30+010217.2', 337.493, 1.0382, None, '2000', None, 'Chiu08', None, None),\n", + " ('2MASS J10020752+1358556', 150.5312, 13.9816, None, '2000', None, 'Kell15', None, None),\n", + " ('SDSS J095415.73+500140.3', 148.5656, 50.0278, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('2MASS J05301261+6253254', 82.5526, 62.89, None, '2000', None, 'Reid08.1290', None, None),\n", + " ('SDSSp J030136.53+002057.9', 45.4022, 0.3494, None, '2000', None, 'Schn02', None, None),\n", + " ('2MASS J08072607+3213101', 121.8586, 32.2195, None, '2000', None, 'Wils03', None, None),\n", + " ('2MASSW J1615441+355900', 243.934, 35.9832, None, '2000', None, 'Kirk00', None, None),\n", + " ('2MASS J10042066+5022596', 151.08608, 50.383222, None, None, '1004+5022', 'Rebo98', None, None),\n", + " ('2MASS J02415367-1241069', 40.4736255, -12.68525, None, None, '0241-1241', 'Cruz03', None, None),\n", + " ('CT Cha B', 166.0352, -76.455, None, '2000', None, 'Schm08.311', None, None),\n", + " ('UGPS J052127.27+364048.6', 80.3643, 36.6788, None, '2000', None, 'Burn11.90', None, None),\n", + " ('SDSS J100942.68+580217.6', 152.4287, 58.0384, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('2MASS J23294790-1607551', 352.44958, -16.131944, None, None, None, 'Cruz07', None, None),\n", + " ('WISE J174556.65+645933.8', 266.4861, 64.9928, None, '2000', None, 'Mace13.6', None, None),\n", + " ('2MASS J14140586+0107102', 213.5244, 1.1195, None, '2000', None, 'Geis11', None, None),\n", + " ('SDSS J110454.25+554841.4', 166.2258, 55.8113, None, '2000', None, 'Knap04', None, None),\n", + " ('CWISE J005635.48-240401.9', 14.1478506, -24.0672083, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('ULAS J131307.47+123540.7', 198.2814, 12.5952, None, '2000', None, 'Maro15', None, None),\n", + " ('WISE J155349.98+693355.2', 238.458286, 69.56534, None, None, None, 'Meis21', None, 'Discovery reference from the BONES archive'),\n", + " ('2MASS J22593244+4450284', 344.88517, 44.841228, None, None, None, 'Cruz03', None, None),\n", + " ('HIP 63506C', 195.2108, 42.2465, None, '2000', None, 'Deac14.119', None, None),\n", + " ('SDSS J143553.25+112948.6', 218.9717, 11.4967, None, '2000', None, 'Chiu06', None, None),\n", + " ('2MASS J09221952-8010399', 140.5813335, -80.17775, None, None, '0922-8010', 'Reid08.1290', None, None),\n", + " ('HIP 11161B', 35.9029, 52.6685, None, '2000', None, 'Deac14.119', None, None),\n", + " ('2MASS J05265973-5026216', 81.7488915, -50.439339, None, None, '0526-5026', 'Reid08.1290', None, None),\n", + " ('2MASS J08194602+1658539', 124.9417, 16.9816, None, '2000', None, 'Cruz03', None, None),\n", + " ('ULAS J124104.75-000531.4', 190.269796, -0.09207, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", + " ('2MASS J06453153-6646120', 101.3813805, -66.77, None, None, '0645-6646', 'Kirk10', None, None),\n", + " ('SDSS J104319.44+071232.4', 160.8311, 7.209, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('USco J160723.82-221102.0', 241.8493, -22.1839, None, '2000', None, 'Lodi08', None, None),\n", + " ('WISE J114340.22+443123.8', 175.9176, 44.5233, None, '2000', None, 'Mace13.6', None, None),\n", + " ('WISEA J143422.31-083934.2', 218.5929583333333, -8.6595, None, None, None, 'Meis20.123', None, None),\n", + " ('SDSS J153223.34+261118.8', 233.097, 26.1885, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('2MASS J02283305+1811097', 37.1379, 18.186, None, '2000', None, 'Cruz03', None, None),\n", + " ('WISEA J151620.39+721745.4', 229.0849583333333, 72.29594444444444, None, None, None, 'Bard20', None, None),\n", + " ('SDSS J020333.26-010812.5', 30.8887, -1.1368, None, '2000', None, 'Knap04', None, None),\n", + " ('2MASS J23231347-0244360', 350.806159, -2.743358, None, None, '2323-0244', 'Cruz07', None, None),\n", + " ('CWISE J195956.16-644318.1', 299.9840118, -64.7217168, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('CWISEP J044719.61+202158.1', 71.83170833333332, 20.36613888888889, None, None, None, 'Meis20.74', None, None),\n", + " ('WISE J045746.08-020719.2', 74.4423, -2.1222, None, '2000', None, 'Biha13', None, None),\n", + " ('SDSS J010448.46+153501.8', 16.201957, 15.58386, None, None, None, 'Zhan17', None, 'Discovery reference from the BONES archive'),\n", + " ('SDSS J102947.68+483412.2', 157.4487, 48.5701, None, '2000', None, 'Zhan09', None, None),\n", + " ('WISE J235408.36+551854.5', 358.5293715, 55.3172641, None, None, None, 'Luhm14.4', None, 'Discovery reference from the BONES archive'),\n", + " ('2MASS J11463449+2230527', 176.643708, 22.514639, None, None, '1146+2230', 'Kirk99.802', None, None),\n", + " ('2MASS J10031918-0105079', 150.8298, -1.0856, None, '2000', None, 'Phan01', None, None),\n", + " ('2MASS J15104786-2818174', 227.6994, -28.3049, None, '2000', None, 'Gizi02.484', None, None),\n", + " ('WISEA J235422.31-081129.7', 358.5927, -8.1914, None, '2000', None, 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('2MASS J08491096-0721442', 132.33167, -7.3803056, None, None, None, 'Reid08.1290', None, None),\n", + " ('ULAS J152502.10+083344.0', 231.2587, 8.5624, None, '2000', None, 'Maro15', None, None),\n", + " ('SDSS J100559.85+035842.3', 151.4993, 3.9778, None, '2000', None, 'West08', None, None),\n", + " ('LSPM J1336+2541B', 204.1043, 25.6769, None, '2000', None, 'Deac14.119', None, None),\n", + " ('SDSS J105012.58+085122.6', 162.5523765, 8.8565379, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", + " ('SDSS J121440.95+631643.4', 183.6706, 63.2787, None, '2000', None, 'Chiu06', None, None),\n", + " ('ULAS J131508.42+082627.4', 198.78508, 8.4409444, None, None, '1315+0826', 'Pinf08', None, None),\n", + " ('2MASS J00110940+5149236', 2.789182, 51.823257, None, None, '0011+5149', 'Cruz18', None, None),\n", + " ('ULAS J093829.28-001112.6', 144.6225, -0.1867, None, '2000', None, 'Pinf08', None, None),\n", + " ('2MASSI J1743348+584411', 265.8953, 58.7364, None, 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'J2000', None, 'Mart98.775', None, None),\n", + " ('EQ J0410+1411', 62.727, 14.192111, None, None, '0410+1411', 'Kirk11', None, None),\n", + " ('WISE J150406.66-455223.9', 226.0277, -45.8733, None, '2000', None, 'Thom13', None, None),\n", + " ('SSSPM J2307-5009', 346.7449, -50.1497, None, '2000', None, 'Lodi05', None, None),\n", + " ('SDSS J140441.68+023550.1', 211.1737, 2.5973, None, '2000', None, 'Hawl02', None, None),\n", + " ('2MASS J14580255-7850126', 224.51137, -78.849, None, None, None, 'Reid08.1290', None, None),\n", + " ('WISEA J030119.39-231921.1', 45.33, -23.3223, None, '2000', None, 'Grec19', None, None),\n", + " ('2MASSW J1326201-272937', 201.5836, -27.4936, None, '2000', None, 'Gizi02.484', None, None),\n", + " ('SDSS J042230.66+072342.9', 65.6274, 7.3958, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('WISE J064336.71-022315.4', 100.9029, -2.387, None, '2000', None, 'Mama18', None, None),\n", + " ('WISE J173421.02+502349.9', 263.5883, 50.3966, None, '2000', None, 'Mace13.6', None, None),\n", + " ('2MASS J04584239-3002061', 74.6767, -30.035, None, '2000', None, 'Gagn15.33', None, None),\n", + " ('SDSS J080027.57+551134.1', 120.115, 55.1929, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('SDSS J130615.20+045908.8', 196.5633202, 4.985914, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", + " ('SDSS J085836.98+271050.8', 134.6539, 27.181, None, '2000', None, 'West08', None, None),\n", + " ('2MASS J15394442+7437273', 234.9352, 74.6243, None, '2000', None, 'Reid08.1290', None, None),\n", + " ('CWISE J062727.34-002826.8', 96.8639415, -0.474135, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('WISEA J011639.05-165420.5', 19.1609, -16.9059, None, '2000', None, 'Schn16.112', None, None),\n", + " ('SDSS J131113.82+240105.0', 197.8071, 24.018, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('ULAS J122633.36+152106.9', 186.6394, 15.352, None, '2000', None, 'Card15', None, None),\n", + " ('ULAS J105134.32-015449.8', 162.8929, -1.9138, None, '2000', None, 'Burn13', None, None),\n", + " ('SDSS J134329.01+131226.2', 205.87, 13.2072, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('ULAS J234716.99-011009.1', 356.821, -1.1693, None, '2000', None, 'DayJ13', None, None),\n", + " ('2MASS J12465176+3148104', 191.7151, 31.803, None, '2000', None, 'Gizi00', None, None),\n", + " ('2MASS J06205212-1645415', 95.247208, -16.765472, None, None, None, 'Cruz03', None, None),\n", + " ('2MASS J02235464-5815067', 35.977667, -58.251861, None, None, '0223-5815', 'Reid08.1290', None, None),\n", + " ('CFBDS J145847.93+061402.8', 224.6996, 6.2341, None, '2000', None, 'Albe11', None, None),\n", + " ('2MASS J02281101+2537380', 37.045875, 25.627222, None, None, '0228+2537', 'Wils03', None, None),\n", + " ('Cl* Melotte 22 PPL 1', 56.421917, 23.90275, None, None, '0345+2354', 'Stauf89', None, None),\n", + " ('SDSS J080605.53+292800.8', 121.5229795, 29.4670707, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", + " ('HD 253662B', 93.4726, 15.235, None, '2000', None, 'Deac14.119', None, None),\n", + " ('SDSSp J164010.59+003721.8', 250.0435, 0.623, None, '2000', None, 'Schn02', None, None),\n", + " ('LHS 330', 187.309, 53.5517, None, '2000', None, 'Bess91.662', None, None),\n", + " ('EQ J1542+2230', 235.5583362, 22.5014686, None, None, '1542+2230', 'Mace13.6', None, None),\n", + " ('SDSS J104842.70+300650.5', 162.1774, 30.114, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('SDSS J142241.28+234011.8', 215.6721, 23.67, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('WISE J212321.92-261405.1', 320.8411, -26.2347, None, '2000', None, 'Mace13.6', None, None),\n", + " ('Gl 337C', 138.0584919, 14.9956706, None, None, None, 'GaiaEDR3', 'Wils01', None),\n", + " ('SDSS J005349.11-011354.4', 13.4546, -1.2319, None, '2000', None, 'Scho09', None, None),\n", + " ('2MASS J15500845+1455180', 237.535209, 14.921667, None, None, '1550+1455', 'Cruz07', None, None),\n", + " ('2MASS J15063706+2759544', 226.65421, 27.998833, None, None, None, 'Cruz18', None, 'galaxy'),\n", + " ('CD-33 7795B', 172.98083, -34.608056, None, None, '1131-3436B', 'Lowr99', None, None),\n", + " ('ULAS J081948.09+073323.3', 124.9504, 7.5561, None, '2000', None, 'Burn10.1885', None, None),\n", + " ('WISEA J003631.29-642735.6', 9.130374999999999, -64.4598888888889, None, None, None, 'Meis20.123', None, None),\n", + " ('EQ J2319-1844', 349.91304, -18.734528, None, None, '2319-1844', 'Kirk11', None, None),\n", + " ('2MASS J14032232+3007547', 210.8429, 30.1318, None, '2000', None, 'Gizi00', None, None),\n", + " ('ULAS J131943.77+120900.2', 199.9326, 12.1501, None, '2000', None, 'Burn10.1885', None, None),\n", + " ('2MASS J01033203+1935361', 15.883458, 19.593361, None, None, '0103+1935', 'Kirk00', None, None),\n", + " ('Proxima Centauri', 217.4289, -62.6795, None, '2000', None, 'Inne15', None, None),\n", + " ('CWISEP J040235.55-265145.4', 60.64812499999999, -26.86261111111111, None, None, None, 'Meis20.74', None, None),\n", + " ('SDSS J012743.51+135420.9', 21.9313, 13.9058, None, '2000', None, 'Hawl02', None, None),\n", + " ('CFBDS J232620.21-025643.7', 351.584, -2.9452, None, '2000', None, 'Albe11', None, None),\n", + " ('ULAS J092608.93+020807.3', 141.5368, 2.1357, None, '2000', None, 'Card15', None, None),\n", + " ('2MASS J10224821+5825453', 155.70088, 58.42925, None, None, '1022+5825', 'Reid08.1290', None, None),\n", + " ('2MASS J16195827-2832276', 244.9927, -28.5411, None, '2000', None, 'Daws14', None, None),\n", + " ('2MASS J07222760-0540384', 110.6149995, -5.677333, None, None, '0722-0540', 'Luca10', None, None),\n", + " ('SDSS J123112.97+405027.9', 187.8042, 40.841, None, '2000', None, 'West08', None, None),\n", + " ('2MASS J21501592-7520367', 327.5657, -75.3435, None, '2000', None, 'Reid08.1290', None, None),\n", + " ('PSO J258.2413+06.7612', 258.2413, 6.7612, None, '2000', None, 'Best15', None, None),\n", + " 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None, '2000', None, 'Knap04', None, None),\n", + " ('CWISE J224452.18-362946.0', 341.2174357, -36.4961287, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('HIP 51877B', 158.9781, 36.9283, None, '2000', None, 'Deac14.119', None, None),\n", + " ('54 Psc B', 9.829614, 21.254559, None, None, '0039+2115', 'Mugr06', None, None),\n", + " ('2MASS J15462597+0317547', 236.60821, 3.298536, None, None, None, 'Reid08.1290', None, None),\n", + " ('USco J160714.79-232101.2', 241.8116, -23.3504, None, '2000', None, 'Lodi08', None, None),\n", + " ('2MASS J06195260-2903592', 94.9692, -29.0664, None, '2000', None, 'Cruz03', None, None),\n", + " ('2MASS J06020638+4043588', 90.5265825, 40.733025, None, None, '0602+4043', 'Loop07.1162', None, None),\n", + " ('2MASS J14573965+4517167', 224.4151, 45.288, None, '2000', None, 'Gizi00', None, None),\n", + " ('2MASS J22351658-3844154', 338.819118, -38.737617, None, None, '2235-3844', 'Gagn15.33', None, None),\n", + " ('PSO J255.0913+10.3263', 255.0914, 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('ULAS J231557.61+132256.2', 348.9903, 13.3821, None, '2000', None, 'Burn10.1885', None, None),\n", + " ('2MASS J04174743-2129191', 64.4477, -21.4886, None, '2000', None, 'Cruz07', None, None),\n", + " ('PSO J143.6774-29.8356', 143.6774, -29.8354, None, '2000', None, 'Best15', None, None),\n", + " ('ULAS J011824.89+034130.4', 19.603733, 3.691786, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", + " ('DENIS-P J100428.3-114648', 151.1176, -11.7803, None, '2000', None, 'Mart99.107', None, None),\n", + " ('WISE J125015.56+262846.9', 192.5649, 26.4797, None, '2000', None, 'Mace13.6', None, None),\n", + " ('S Ori 61', 84.7195, -2.4789, None, '2000', None, 'Zapa00', None, None),\n", + " ('2MASS J00070787-2458042', 1.7827917, -24.967833, None, None, '0007-2458', 'Reyl04', None, None),\n", + " ('2MASS J09283972-1603128', 142.1655, -16.053556, None, None, '0928-1603', 'Kirk00', None, None),\n", + " ('2MASS J21574904-5534420', 329.454333, -55.578333, None, 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None, None),\n", + " ('CWISE J101317.51-010313.6', 153.3229961, -1.0537976, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('WISE J221140.52-475826.5', 332.9189, -47.9741, None, '2000', None, 'Tinn18', None, None),\n", + " ('2MASSW J1750129+442404', 267.5538, 44.4012, None, '2000', None, 'Gizi00', None, None),\n", + " ('CWISE J055515.83+510514.0', 88.8159856, 51.0872307, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('2MASS J12565688+0146163', 194.2369995, 1.771194, None, None, '1256+0146', 'Reid08.1290', None, None),\n", + " ('2MASS J09510549+3558021', 147.772875, 35.96725, None, None, '0951+3558', 'Kirk00', None, None),\n", + " ('2MASS J04285096-2253227', 67.212292, -22.889639, None, None, '0428-2253', 'Kend03', None, None),\n", + " ('2MASS J21233110-2345186', 320.87958, -23.755, None, None, None, 'Cruz07', None, None),\n", + " ('2MASS J12392727+5515371', 189.863625, 55.260306, None, None, '1239+5515', 'Kirk00', None, None),\n", + " ('2MASS J16161833+0540382', 244.07638, 5.67729, None, None, None, 'Reid08.1290', None, None),\n", + " ('2MASSW J1123556+412228', 170.9811, 41.3743, None, '2000', None, 'Kirk00', None, None),\n", + " ('PSO J054.8149-11.7792', 54.8149, -11.779, None, '2000', None, 'Best15', None, None),\n", + " ('2MASS J02192210-3925225', 34.842104, -39.422928, None, None, '0219-3925B', 'Arti15', None, None),\n", + " ('2MASS J08533619-0329321', 133.39308, -3.4953333, None, None, '0853-0329', 'Reid87', None, None),\n", + " ('NLTT 19109B', 122.9958, -8.9665, None, '2000', None, 'Deac14.119', None, None),\n", + " ('SDSS J083429.19+230855.0', 128.6214, 23.1485, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('SDSS J105044.03+325843.5', 162.6835, 32.9788, None, '2000', None, 'West08', None, None),\n", + " ('WISEA J000627.85+185728.8', 1.6158, 18.9587, None, '2000', None, 'Schn16.112', None, None),\n", + " ('2MASS J05583706-1339123', 89.654445, -13.653394, None, None, '0558-1339', 'Cruz18', None, None),\n", + " ('WISE J004945.61+215120.0', 12.440225, 21.8554683, None, None, '0049+2151', 'Mace13.6', None, None),\n", + " ('SDSS J115250.06+643252.5', 178.2086, 64.5479, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('SDSS J143645.25+310914.7', 219.1887896, 31.1541942, None, None, None, 'Lupi08', None, 'Discovery reference from the BONES archive'),\n", + " ('ULAS J113716.54+112657.2', 174.3189, 11.4492, None, '2000', None, 'Card15', None, None),\n", + " ('Ross 248', 355.4793, 44.1775, None, '2000', None, 'Ross26', None, None),\n", + " ('EQ J2239+1617', 339.906465, 16.287833, None, None, '2239+1617', 'Kirk11', None, None),\n", + " ('2MASS J00461551+0252004', 11.5646, 2.8669, None, '2000', None, 'Gagn15.33', None, None),\n", + " ('PSO J192.6717-21.8250', 192.6721, -21.8248, None, '2000', None, 'Best15', None, None),\n", + " ('HIP 65423B', 201.1458, -55.9569, None, '2000', None, 'Jans12', None, None),\n", + " ('ULAS J112043.11+090429.8', 170.1799, 9.075, None, '2000', None, 'Maro15', None, None),\n", + " ('SDSS J004221.15+145923.9', 10.5882, 14.9899, None, '2000', None, 'Hawl02', None, None),\n", + " ('SDSS J154628.38+253634.3', 236.6187, 25.6094, None, '2000', None, 'Zhan09', None, None),\n", + " ('2MASS J04070885+1514565', 61.7866, 15.2491, None, '2000', None, 'Burg04.2856', None, None),\n", + " ('2MASS J23464599+1129094', 356.6918, 11.486, None, '2000', None, 'Reid08.1290', None, None),\n", + " ('2MASS J11533966+5032092', 178.4153, 50.5359, None, '2000', None, 'Reid08.1290', None, None),\n", + " ('WISE J191915.54+304558.4', 289.8154, 30.7669, None, '2000', None, 'Thom13', None, None),\n", + " ('SDSS J000614.06+160454.5', 1.5586, 16.0818, None, '2000', None, 'Zhan10', None, None),\n", + " ('ULAS J133553.45+113005.2', 203.97271, 11.501444, None, None, '1335+1130', 'Burn08', None, None),\n", + " ('ULAS J092624.76+071140.7', 141.6034, 7.1953, None, '2000', None, 'Burn10.1885', None, None),\n", + " ('HIP 49046B', 150.1488, 27.2849, None, '2000', None, 'Deac14.119', None, None),\n", + " ('2MASS J14263345-5229166', 216.6393, -52.488, None, '2000', None, 'Folk12', None, None),\n", + " ('GJ 758B', 290.8917, 33.222, None, '2000', None, 'Thal09', None, None),\n", + " ('CWISE J124033.48+460544.7', 190.1395201, 46.0957506, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('2MASS J19561542-1754252', 299.06425, -17.907, None, None, '1956-1754', 'Kend07', None, None),\n", + " ('2MASS J09293364+3429527', 142.390167, 34.497972, None, None, '0929+3429', 'Kirk00', None, None),\n", + " ('2MASS J06543675-7131217', 103.65317, -71.522472, None, None, None, 'Cruz03', None, None),\n", + " ('CTI 012657.5+280202', 21.9131, 28.0981, None, '2000', None, 'Kirk94', None, None),\n", + " ('2MASSW J0306268+154514', 46.612, 15.7536, None, '2000', None, 'Kirk00', None, None),\n", + " ('SDSS J16585026+1820006', 254.709737, 18.333275, None, None, '1658+1820', 'West08', None, None),\n", + " ('WISP 123242.42-003306.7', 188.1768, -0.5519, None, '2000', None, 'Mast12.14', None, None),\n", + " ('PSO J277.3873+26.0116', 277.3865, 26.0118, None, None, None, 'Sang23', None, None),\n", + " ('HD 4113 C', 10.8025, -37.9826306, None, None, None, 'Chee18', None, None),\n", + " ('SONYC-ChaI-1', 167.126, -77.5274, None, '2000', None, 'Muzi15', None, None),\n", + " ('2MASS J08355829+0548308', 128.992875, 5.808556, None, None, '0835+0548', 'Reid08.1290', None, None),\n", + " ('PSO J179.2489+41.5121', 179.2496, 41.5121, None, None, None, 'Sang23', None, None),\n", + " ('2MASS J12171110-0311131', 184.2962505, -3.186972, None, None, '1217-0311', 'Burg99', None, None),\n", + " ('2MASS J14405684-2225149', 220.2367562, -22.420925, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", + " ('USco J155150.2-213457', 237.9591, -21.5825, None, '2000', None, 'Pena16', None, None),\n", + " ('2MASS J09555995-7342489', 148.9998, -73.7136, None, '2000', None, 'Folk12', None, None),\n", + " ('2MASS J14394298-1100430', 219.9290601, -11.0120408, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", + " ('ULAS J131313.57+265433.8', 198.3065, 26.9094, None, '2000', None, 'Card15', None, None),\n", + " ('WISE J203042.79+074934.7', 307.6764, 7.8266, None, '2000', None, 'Mace13.6', None, None),\n", + " ('SDSS J125437.60+293832.7', 193.6568, 29.6425, None, '2000', None, 'West08', None, None),\n", + " ('SDSS J160510.15+042152.1', 241.2923, 4.3645, None, '2000', None, 'West08', None, None),\n", + " ('2MASS J16241436+0029158', 246.0598335, 0.487722, None, None, '1624+0029', 'Stra99', None, None),\n", + " ('2MASS J10353492-0711479', 158.895517, -7.196647, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", + " ('2MASS J02411151-0326587', 40.297958, -3.4496389, None, None, '0241-0326', 'Cruz07', None, None),\n", + " ('PSO J085.1080-18.0445', 85.1085, -18.0443, None, '2000', None, 'Best20.257', None, None),\n", + " ('2MASS J11303205+2345465', 172.63356, 23.762936, None, None, None, 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'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", + " ('WISEA J002810.59+521853.1', 7.044124999999999, 52.31475, None, None, None, 'Meis20.123', None, None),\n", + " ('2MASS J06160532-4557080', 94.0221945, -45.952244, None, None, '0616-4557', 'Reid08.1290', None, None),\n", + " ('2MASS J13435275-3851385', 205.9698, -38.8607, None, '2000', None, 'Reid08.1290', None, None),\n", + " ('SSSPM J2400-2008', 359.9902, -20.1279, None, '2000', None, 'Lodi05', None, None),\n", + " ('2MASS J08370215+1952074', 129.259, 19.8687, 2000.0, 'J2000', None, 'Pinf97', None, None),\n", + " ('2MASS J17461199+5034036', 266.54996, 50.567672, None, None, '1746+5034', 'Reid08.1290', None, None),\n", + " ('PSO J159.0433-27.6357', 159.0434, -27.6349, None, '2000', None, 'Best15', None, None),\n", + " ('CFBDS J013302.27+023128.4', 23.2602, 2.5247, None, '2000', None, 'Albe11', None, None),\n", + " ('2MASS J03224622-7940595', 50.6926, -79.6832, None, '2000', None, 'Gagn15.33', None, None),\n", 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None),\n", + " ('LHS 1166', 13.9345, 25.1066, None, '2000', None, 'Reid05', None, None),\n", + " ('WISEA J042449.21-595905.6', 66.2051, -59.9849, None, '2000', None, 'Luhm14.126', None, None),\n", + " ('2MASS J08564793+2235182', 134.199708, 22.588389, None, None, '0856+2235', 'Cruz03', None, None),\n", + " ('LP 44-334', 280.0098, 72.6817, None, '2000', None, 'Reid04', None, None),\n", + " ('2MASS J11582077+0435014', 179.58654, 4.583722, None, None, '1158+0435', 'Kirk10', None, None),\n", + " ('WISE J083337.82+005214.1', 128.4075, 0.8705, None, '2000', None, 'Pinf14.1009', None, None),\n", + " ('SDSS J080322.77+123845.3', 120.8446, 12.6457, None, '2000', None, 'Zhan09', None, None),\n", + " ('NLTT 38489B', 222.1936, 56.1822, None, '2000', None, 'Deac14.119', None, None),\n", + " ('2MASS J19170993+7755597', 289.2914, 77.9333, None, '2000', None, 'Reid08.1290', None, None),\n", + " ('Hya03', 62.5996, 14.9862, None, '2000', None, 'Lodi14.3908', None, None),\n", + " ('2MASS 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213.8361, 4.2798, None, '2000', None, 'Card15', None, None),\n", + " ('2MASS J08220659+0441026', 125.527477, 4.684071, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", + " ('WISEP J004928.48+044100.1', 12.368667, 4.683361, None, None, '0049+0440', 'Kirk11', None, None),\n", + " ('SDSS J002209.31-011040.2', 5.5388, -1.1778, None, '2000', None, 'West08', None, None),\n", + " ('2MASS J17380025+8505130', 264.39525, 85.086194, None, None, None, 'Reid08.1290', None, None),\n", + " ('HR 8799b', 346.8696, 21.1343, None, '2000', None, 'Maro08', None, None),\n", + " ('CFHT-Hy-20', 67.6613, 13.1658, None, '2000', None, 'Bouv08.661', None, None),\n", + " ('DH Tau B', 67.4236, 26.549, None, '2000', None, 'Itoh05', None, None),\n", + " ('ULAS J013619.79+071737.9', 24.0825, 7.2938, None, '2000', None, 'DayJ13', None, None),\n", + " ('2MASS J03100053+0726506', 47.5021, 7.4474, None, '2000', None, 'Reid08.1290', None, None),\n", + " ('LHS 1074', 6.4634, -7.8022, None, '2000', None, 'Reid05', None, None),\n", + " ('SDSS J162838.35+625945.7', 247.1597, 62.996, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('2MASS J11335700-7807240', 173.4875, -78.1233, None, '2000', None, 'Luhm07.104', None, None),\n", + " ('SDSS J154502.87+061807.8', 236.2621, 6.3022, None, '2000', None, 'Zhan09', None, None),\n", + " ('CFBDS J025805.92-145534.3', 44.5248, -14.9262, None, '2000', None, 'Albe11', None, None),\n", + " ('SDSS J093824.88+290328.9', 144.6037, 29.0582, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('WISE J140533.32+835030.5', 211.4052, 83.8402, None, '2000', None, 'Cast13', None, None),\n", + " ('ULAS J124425.90+102441.9', 191.1082, 10.412, None, '2000', None, 'Lodi12.105', None, None),\n", + " ('PSO J000.2794+16.6237', 0.2792, 16.6241, None, None, None, 'Alle16.PhDT', None, None),\n", + " ('SDSS J170316.71+190636.0', 255.8197, 19.11, None, '2000', None, 'West08', None, None),\n", + " ('SDSS J140601.47+524931.0', 211.5063, 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None, 'Schm10.1808', None, None),\n", + " ('2MASS J21363029+0515329', 324.12622, 5.259139, None, None, None, 'Reid08.1290', None, None),\n", + " ('2MASSI J0302012+135814', 45.5051, 13.9706, None, '2000', None, 'Kirk00', None, None),\n", + " ('2MASS J10513331-1916530', 162.8884, -19.2815, None, '2000', None, 'Gagn15.33', None, None),\n", + " ('SDSS J121304.77+152922.2', 183.2701, 15.4897, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('LP 440-52', 219.75129165, 18.66069444, None, None, '1439+1839', 'Lieb79', None, None),\n", + " ('ULAS J141623.94+134836.3', 214.100355, 13.807318, None, None, '1416+1348B', 'Burn10.1952', None, None),\n", + " ('WISEA J032811.00-422321.6', 52.04583333333333, -42.38933333333333, None, None, None, 'Meis20.123', None, None),\n", + " ('SDSS J144804.97+060802.3', 222.021, 6.1335, None, '2000', None, 'West08', None, None),\n", + " ('ULAS J033027.97+053626.6', 52.6165, 5.6075, None, '2000', None, 'Maro15', None, None),\n", + " ('SDSS 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('2MASS J12373919+6526148', 189.413292, 65.437444, None, None, '1237+6526', 'Burg99', None, None),\n", + " ('2MASS J22433237-1525260', 340.884859, -15.423901, None, None, '2243-1525', 'Cruz18', None, None),\n", + " ('ULAS J220917.12-005259.9', 332.3215, -0.8831, None, '2000', None, 'DayJ13', None, None),\n", + " ('ULAS J121816.52+134953.8', 184.5694, 13.8317, None, '2000', None, 'Maro15', None, None),\n", + " ('WISEP J190648.47+401106.8', 286.7003, 40.1857, None, '2000', None, 'Gizi11.34', None, None),\n", + " ('2MASS J12490458-3454080', 192.26979, -34.902194, None, None, None, 'Cruz18', None, 'galaxy'),\n", + " ('ULAS J111429.54+072809.5', 168.623085, 7.469307, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", + " ('2MASS J15074769-1627386', 226.9487085, -16.460722, None, None, '1507-1627', 'Reid00', None, None),\n", + " ('2MASS J02115089+4728300', 32.96206, 47.47501, None, None, None, 'Cruz03', None, None),\n", + " ('2MASS J15551573-0956055', 238.8155415, -9.934861, None, None, '1555-0956', 'Gizi02.484', None, None),\n", + " ('ULAS J223728.91+064220.1', 339.3704, 6.7056, None, '2000', None, 'Burn13', None, None),\n", + " ('SDSS J134224.93+603731.4', 205.6038, 60.6254, None, '2000', None, 'West08', None, None),\n", + " ('2MASS J21522609+0937575', 328.1087085, 9.632639, None, None, '2152+0937', 'Reid08.1290', None, None),\n", + " ('ULAS J023144.49+063602.2', 37.9354, 6.6006, None, '2000', None, 'Card15', None, None),\n", + " ('2MASS J03484468+2437237', 57.1862, 24.6232, 2000.0, 'J2000', None, 'Bouv98', None, None),\n", + " ('2MASS J08315598+1025417', 127.983268, 10.428261, None, None, '0831+1025', 'Reid08.1290', None, None),\n", + " ('PSO J071.4708+36.4930', 71.4707, 36.4934, None, '2000', None, 'Best15', None, None),\n", + " ('SDSS J093328.00+265448.4', 143.3668, 26.9137, None, '2000', None, 'West08', None, None),\n", + " ('2MASS J06143818+3950357', 93.6591, 39.8432, None, '2000', None, 'Muzi12.180', None, None),\n", + " ('SDSS J075256.70+173433.8', 118.2363, 17.5761, None, '2000', None, 'Zhan09', None, None),\n", + " ('SDSS J123257.20+410723.5', 188.2382139, 41.1234264, None, None, None, 'Lupi08', None, 'Discovery reference from the BONES archive'),\n", + " ('2MASS J02540788+0223563', 43.539375, 2.39975, None, None, '0254+0223', 'Scho11', None, None),\n", + " ('ULAS J225114.89-000724.4', 342.8121, -0.1234, None, '2000', None, 'DayJ13', None, None),\n", + " ('2MASS J17125121-0507249', 258.214, -5.1261, None, None, '1712-0507B', 'Schn11', None, None),\n", + " ('PSO J028.0715-15.5717', 28.0714, -15.5714, None, None, None, 'Sang23', None, None),\n", + " ('CFHT-IC 348-1', 55.8439, 32.3048, None, '2000', None, 'Alve13.123', None, None),\n", + " ('CWISE J202934.80-791013.1', 307.3950501, -79.17033373, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('2MASS J14012556-4033164', 210.35652, -40.554558, None, None, None, 'Reid08.1290', None, None),\n", + " ('ULAS J080918.41+212615.2', 122.3272, 21.4379, None, '2000', None, 'Burn13', None, None),\n", + " ('2MASS J05160945-0445499', 79.0393755, -4.763861, None, None, '0516-0445', 'Burg03.2487', None, None),\n", + " ('LHS 5303', 238.1859, -26.3871, None, '2000', None, 'Crif05', None, None),\n", + " ('WISEA J003338.45+282732.4', 8.4098, 28.4588, None, '2000', None, 'Schn16.112', None, None),\n", + " ('SDSSp J030321.24-000938.2', 45.8386, -0.1606, None, '2000', None, 'Schn02', None, None),\n", + " ('SDSS J144128.52+504600.4', 220.3688, 50.7669, None, '2000', None, 'Chiu06', None, None),\n", + " ('2MASS J04553267-2701493', 73.8862, -27.0304, None, '2000', None, 'Cruz03', None, None),\n", + " ('2MASSW J1338261+414034', 204.6089, 41.676, None, '2000', None, 'Kirk00', None, None),\n", + " ('CWISEP J203821.53-064930.9', 309.5897083333333, -6.82525, None, None, None, 'Meis20.74', None, None),\n", + " ('SDSS J084149.77+005844.6', 130.4574, 0.9791, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('2MASS J00554279+1301043', 13.9283256, 13.0179339, None, None, None, 'Kirk10', None, 'Discovery reference from the BONES archive'),\n", + " ('2MASS J14403029+1233344', 220.12604, 12.559419, None, None, None, 'Cruz07', None, None),\n", + " ('WISEA J023421.83+601227.3', 38.5893, 60.208, None, '2000', None, 'Kirk14', None, None),\n", + " ('ULAS J003716.06-005404.7', 9.3171, -0.9014, None, '2000', None, 'DayJ13', None, None),\n", + " ('WISE J181243.14+200746.4', 273.1798, 20.1295, None, '2000', None, 'Mace13.6', None, None),\n", + " ('2MASS J20232858-5946519', 305.8691, -59.7811, None, '2000', None, 'Maro13', None, None),\n", + " ('WISEA J224128.33+043459.3', 340.3676, 4.5845, None, '2000', None, 'Kirk14', None, None),\n", + " ('2MASS J02132880+4444453', 33.3700005, 44.745917, None, None, '0213+4444', 'Cruz03', None, None),\n", + " ('SDSS J115013.17+052012.3', 177.555, 5.3369, None, '2000', None, 'Zhan09', None, None),\n", + " ('WISE J024714.52+372523.5', 41.8106, 37.4232, None, '2000', None, 'Mace13.6', None, None),\n", + " ('2MASS J21403907+3655563', 325.1629, 36.9323, None, '2000', None, 'Kirk10', None, None),\n", + " ('2MASS J02484100-1651216', 42.1708458, -16.85602222, None, None, '0248-1651', 'Luyt79.2', None, None),\n", + " ('WISEPC J220922.10-273439.5', 332.342, -27.5778, None, '2000', None, 'Kirk11', None, None),\n", + " ('WISEA J082000.48-662211.9', 125.002, -66.37, None, '2000', None, 'Luhm14.126', None, None),\n", + " ('ULAS J135322.83+283408.2', 208.3451, 28.5689, None, '2000', None, 'Card15', None, None),\n", + " ('2MASS J11220826-3512363', 170.5344, -35.2102, None, '2000', None, 'Tinn05.2326', None, None),\n", + " ('SDSS J105102.32+133346.9', 162.7598106, 13.5632197, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", + " ('SDSS J105213.51+442255.7', 163.0561, 44.3822, None, '2000', None, 'Chiu06', None, None),\n", + " ('2MASS J13580384+1458204', 209.516, 14.9723, None, '2000', None, 'Shep09', None, None),\n", + " ('2MASS J15470557-1626303', 236.77324, -16.441776, None, None, '1547-1625A', 'Gagn15.33', None, None),\n", + " ('WISE J1049-5319B', 162.329, -53.3192, 2000.0, 'J2000', None, 'Luhm13', None, None),\n", + " ('VHS J143311.46-083736.3', 218.2976, -8.6268, None, '2000', None, 'Lodi12.53', None, None),\n", + " ('ULAS J012855.07+063357.0', 22.2294, 6.5658, None, '2000', None, 'Burn13', None, None),\n", + " ('SDSS J141838.08+145522.4', 214.6589, 14.923, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('WISE J023038.90-022554.0', 37.6612, -2.4319, None, '2000', None, 'Thom13', None, None),\n", + " ('2MASS J21555848+2345307', 328.9936, 23.7585, None, '2000', None, 'Kirk10', None, None),\n", + " ('SDSS J100844.64+470738.0', 152.186, 47.1274, None, '2000', None, 'West08', None, None),\n", + " ('2MASS J03134443+0433165', 48.4352, 4.5546, None, '2000', None, 'Reid08.1290', None, None),\n", + " ('SDSS J093237.47+672514.5', 143.1562, 67.4209, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('ULAS J134206.86+053724.9', 205.5288103, 5.6241134, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", + " ('ULAS J223347.82+002214.0', 338.4493, 0.3706, None, '2000', None, 'DayJ13', None, None),\n", + " ('WISEPC J121756.91+162640.2', 184.4872, 16.4445, None, '2000', None, 'Kirk11', None, None),\n", + " ('2MASS J03510004-0052452', 57.750083, -0.87940833, None, None, '0351-0052', 'Luyt79.5', None, None),\n", + " ('CWISE J153143.38-330657.3', 232.93075, -33.11591666666667, None, None, None, 'Kirk21', None, None),\n", + " ('2MASS J17312974+2721233', 262.873917, 27.356472, None, None, '1731+2721', 'Reid08.1290', None, None),\n", + " ('PSO J318.4243+35.1277', 318.4239, 35.128, None, '2000', None, 'Alle16', None, None),\n", + " ('ULAS J232600.40+020139.2', 351.5018, 2.0273, None, '2000', None, 'Burn13', None, None),\n", + " ('TrES-3', 268.029, 37.5462, 2000.0, 'J2000', None, 'ODon07', None, None),\n", + " ('ULAS J013017.79+080453.9', 22.5742, 8.0814, None, '2000', None, 'Burn13', None, None),\n", + " ('2MASS J23494899+1224386', 357.4542, 12.4107, None, '2000', None, 'Gizi00', None, None),\n", + " ('SDSS J122711.07+021349.1', 186.7961, 2.2302, None, '2000', None, 'West08', None, None),\n", + " ('SDSS J140409.91+400214.0', 211.0411, 40.0372, None, '2000', None, 'West08', None, None),\n", + " ('2MASS J10595185+3042059', 164.96604, 30.701639, None, None, '1059+3042', 'Shep09', None, None),\n", + " ('SDSS J172545.59+640501.2', 261.4397, 64.0836, None, '2000', None, 'Kell15', None, None),\n", + " ('WISE J190624.74+450807.1', 286.603125, 45.135611, None, None, '1906+4508', 'Kirk11', None, None),\n", + " ('Hya08', 74.6903, 12.2095, None, '2000', None, 'Lodi14.3908', None, None),\n", + " ('CWISE J013719.04+342837.6', 24.3293435, 34.4771182, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('2MASS J11183877+2339488', 169.66155, 23.663563, None, None, None, 'Cruz03', None, None),\n", + " ('CFHT-IC 348-18', 56.2055, 32.1637, None, '2000', None, 'Alve13.123', None, None),\n", + " ('SSSPM J0306-3648', 46.5483, -36.798, None, '2000', None, 'Lodi05', None, None),\n", + " ('CWISEP J225628.97+400227.3', 344.12070833333325, 40.04091666666667, None, None, None, 'Meis20.74', None, None),\n", + " ('ULAS J094349.60+094203.4', 145.9566, 9.7012, None, '2000', None, 'Burn10.1885', None, None),\n", + " ('SDSS J144635.65+164337.3', 221.6485, 16.7271, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('2MASS J14345819-2335572', 218.7423, -23.5993, None, '2000', None, 'Ruiz01', None, None),\n", + " ('2MASS J03550477-1032415', 58.76989, -10.544882, None, None, '0355-1032', 'Cruz03', None, None),\n", + " ('2MASS J06022216+6336391', 90.5923335, 63.610861, None, None, '0602+6336', 'Reid08.1290', None, None),\n", + " ('WISEA J084254.56-061023.7', 130.7285, -6.1731, None, '2000', None, 'Grec19', None, None),\n", + " ('2MASS J00285545-1927165', 7.2310417, -19.454583, None, None, '0028-1927', 'Reid08.1290', None, None),\n", + " ...]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "db.query(db.Sources).all() " + ] + }, + { + "cell_type": "markdown", + "id": "c95de403", + "metadata": {}, + "source": [ + "#### Thats a lot of sources! Lets say you just want to find all sources that start with \"WISE\" " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "fd90f00d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using table 'Sources' with columns ['source'] for matching object names\n", + "Using table 'Names' with columns ['other_name'] for matching object names\n" + ] + }, + { + "data": { + "text/html": [ + "
Table length=3145\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
sourceradecepochequinoxshortnamereferenceother_referencescomments
str32float64float64objectobjectobjectstr11objectobject
1RXS J115928.5-524717179.864-52.7886None2000NoneHamb04.265NoneNone
2MASS J00011217+15353550.30070815.593194NoneNone0001+1535Knap04NoneNone
2MASS J00034227-28224100.926125-28.378056NoneNone0003-2822Cruz07NoneNone
2MASS J00040288-64103581.012-64.176611NoneNone0004-6410Kirk10NoneNone
2MASS J00043484-40440581.145166-40.734944NoneNone0004-4044BCEros99NoneNone
2MASS J00044144-20582981.1728-20.975None2000NoneKend07NoneNone
2MASS J00045753-17093691.2398-17.1603None2000NoneCrif05NoneNone
2MASS J00054844-21571961.4519-21.9555None2000NoneReyl04NoneNone
2MASS J00070787-24580421.7827917-24.967833NoneNone0007-2458Reyl04NoneNone
...........................
WISEU J013522.46-221957.323.84358333333333-22.332583333333332NoneNoneNoneMeis20.123NoneNone
WISEU J050305.68-564834.075.77366666666666-56.809444444444445NoneNoneNoneMeis20.123NoneNone
WISP 030741.12-724357.546.9259-72.7311None2000NoneMast12.14NoneNone
WISP 123242.42-003306.7188.1768-0.5519None2000NoneMast12.14NoneNone
Wolf 359164.120277.014658NoneNone1056+0700Gicl59NoneNone
Wolf 940B326.6628-0.1776None2000NoneBurn09NoneNone
[BMZ2001] S Ori J053814.5-02451284.559125-2.7532778NoneNoneNoneMissingNoneNone
[HB88] M18319.6324-45.0979None2000NoneHawk88NoneNone
[HB88] M20322.536-44.7745None2000NoneKirk11NoneBest20 lists discovery as Hawk88a; Kirk11
[LDC2013] J160918.68-222923.9242.32787-22.48992NoneNone1609-2229Lodi07.372NoneNone
" + ], + "text/plain": [ + "\n", + " source ... comments \n", + " str32 ... object \n", + "-------------------------------- ... -----------------------------------------\n", + " 1RXS J115928.5-524717 ... None\n", + " 2MASS J00011217+1535355 ... None\n", + " 2MASS J00034227-2822410 ... None\n", + " 2MASS J00040288-6410358 ... None\n", + " 2MASS J00043484-4044058 ... None\n", + " 2MASS J00044144-2058298 ... None\n", + " 2MASS J00045753-1709369 ... None\n", + " 2MASS J00054844-2157196 ... None\n", + " 2MASS J00070787-2458042 ... None\n", + " ... ... ...\n", + " WISEU J013522.46-221957.3 ... None\n", + " WISEU J050305.68-564834.0 ... None\n", + " WISP 030741.12-724357.5 ... None\n", + " WISP 123242.42-003306.7 ... None\n", + " Wolf 359 ... None\n", + " Wolf 940B ... None\n", + "[BMZ2001] S Ori J053814.5-024512 ... None\n", + " [HB88] M18 ... None\n", + " [HB88] M20 ... Best20 lists discovery as Hawk88a; Kirk11\n", + " [LDC2013] J160918.68-222923.9 ... None" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "db.search_object('wise', fmt='astropy')" + ] + }, + { + "cell_type": "markdown", + "id": "3d08ef03", + "metadata": {}, + "source": [ + "#### So you found the object youre looking for - lets now narrow down that query." + ] + }, + { + "cell_type": "markdown", + "id": "d923dc1c", + "metadata": {}, + "source": [ + "#### Lets see many names are associated with the object WISEPC J0333" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "06145ba6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No Simbad match for WISEPC J0333\n", + "Including Simbad names, searching for: ['WISEPC J0333']\n", + "Using table 'Sources' with columns ['source'] for matching object names\n", + "Using table 'Names' with columns ['other_name'] for matching object names\n" + ] + }, + { + "data": { + "text/html": [ + "
Table length=3\n", + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
sourceother_name
str26str26
WISEPC J033349.34-585618.7CWISE J033349.31-585619.8
WISEPC J033349.34-585618.7VHS J033349.30-585620.2
WISEPC J033349.34-585618.7WISEPC J033349.34-585618.7
" + ], + "text/plain": [ + "\n", + " source other_name \n", + " str26 str26 \n", + "-------------------------- --------------------------\n", + "WISEPC J033349.34-585618.7 CWISE J033349.31-585619.8\n", + "WISEPC J033349.34-585618.7 VHS J033349.30-585620.2\n", + "WISEPC J033349.34-585618.7 WISEPC J033349.34-585618.7" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "db.search_object('WISEPC J0333', resolve_simbad=True, output_table='Names')" + ] + }, + { + "cell_type": "markdown", + "id": "3ac5f930", + "metadata": {}, + "source": [ + "#### We know the source exist, so now we want to see all the data associated with the source. " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b73b9b80", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{\n", + " \"Sources\": [\n", + " {\n", + " \"source\": \"WISEPC J033349.34-585618.7\",\n", + " \"ra\": 53.4557,\n", + " \"dec\": -58.9384,\n", + " \"epoch\": null,\n", + " \"equinox\": \"2000\",\n", + " \"shortname\": null,\n", + " \"reference\": \"Kirk11\",\n", + " \"other_references\": null,\n", + " \"comments\": null\n", + " }\n", + " ],\n", + " \"Names\": [\n", + " {\n", + " \"other_name\": \"CWISE J033349.31-585619.8\"\n", + " },\n", + " {\n", + " \"other_name\": \"VHS J033349.30-585620.2\"\n", + " },\n", + " {\n", + " \"other_name\": \"WISEPC J033349.34-585618.7\"\n", + " }\n", + " ],\n", + " \"Parallaxes\": [\n", + " {\n", + " \"parallax\": 46.2,\n", + " \"parallax_error\": 3.7,\n", + " \"adopted\": true,\n", + " \"comments\": null,\n", + " \"reference\": \"Kirk21\"\n", + " }\n", + " ],\n", + " \"Photometry\": [\n", + " {\n", + " \"band\": \"IRAC.I1\",\n", + " \"magnitude\": 13.59,\n", + " \"magnitude_error\": 0.02,\n", + " \"telescope\": \"Spitzer\",\n", + " \"epoch\": null,\n", + " \"comments\": null,\n", + " \"reference\": \"Kirk11\"\n", + " },\n", + " {\n", + " \"band\": \"IRAC.I2\",\n", + " \"magnitude\": 13.3,\n", + " \"magnitude_error\": 0.02,\n", + " \"telescope\": \"Spitzer\",\n", + " \"epoch\": null,\n", + " \"comments\": null,\n", + " \"reference\": \"Kirk11\"\n", + " },\n", + " {\n", + " \"band\": \"VISTA.J\",\n", + " \"magnitude\": 15.73,\n", + " \"magnitude_error\": 0.005,\n", + " \"telescope\": \"VISTA\",\n", + " \"epoch\": null,\n", + " \"comments\": null,\n", + " \"reference\": \"McMa13\"\n", + " },\n", + " {\n", + " \"band\": \"WISE.W1\",\n", + " \"magnitude\": 14.037,\n", + " \"magnitude_error\": 0.017,\n", + " \"telescope\": \"WISE\",\n", + " \"epoch\": null,\n", + " \"comments\": \"Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).\",\n", + " \"reference\": \"Maro21\"\n", + " },\n", + " {\n", + " \"band\": \"WISE.W2\",\n", + " \"magnitude\": 13.313,\n", + " \"magnitude_error\": 0.013,\n", + " \"telescope\": \"WISE\",\n", + " \"epoch\": null,\n", + " \"comments\": \"Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).\",\n", + " \"reference\": \"Maro21\"\n", + " },\n", + " {\n", + " \"band\": \"WISE.W3\",\n", + " \"magnitude\": 12.22,\n", + " \"magnitude_error\": 0.225,\n", + " \"telescope\": \"WISE\",\n", + " \"epoch\": null,\n", + " \"comments\": \"Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).\",\n", + " \"reference\": \"Cutr13\"\n", + " }\n", + " ],\n", + " \"ProperMotions\": [\n", + " {\n", + " \"mu_ra\": -126.0,\n", + " \"mu_ra_error\": 8.0,\n", + " \"mu_dec\": -607.0,\n", + " \"mu_dec_error\": 7.0,\n", + " \"adopted\": false,\n", + " \"comments\": null,\n", + " \"reference\": \"Kirk11\"\n", + " },\n", + " {\n", + " \"mu_ra\": -142.7,\n", + " \"mu_ra_error\": 3.8,\n", + " \"mu_dec\": -620.0,\n", + " \"mu_dec_error\": 3.4,\n", + " \"adopted\": true,\n", + " \"comments\": \"Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).\",\n", + " \"reference\": \"Maro21\"\n", + " }\n", + " ],\n", + " \"SpectralTypes\": [\n", + " {\n", + " \"spectral_type_string\": \"T3\",\n", + " \"spectral_type_code\": 83.0,\n", + " \"spectral_type_error\": null,\n", + " \"regime\": \"nir\",\n", + " \"adopted\": null,\n", + " \"photometric\": null,\n", + " \"comments\": null,\n", + " \"reference\": \"Kirk11\"\n", + " }\n", + " ]\n", + "}\n", + "{'Sources': [{'source': 'WISEPC J033349.34-585618.7', 'ra': 53.4557, 'dec': -58.9384, 'epoch': None, 'equinox': '2000', 'shortname': None, 'reference': 'Kirk11', 'other_references': None, 'comments': None}], 'Names': [{'other_name': 'CWISE J033349.31-585619.8'}, {'other_name': 'VHS J033349.30-585620.2'}, {'other_name': 'WISEPC J033349.34-585618.7'}], 'Parallaxes': [{'parallax': 46.2, 'parallax_error': 3.7, 'adopted': True, 'comments': None, 'reference': 'Kirk21'}], 'Photometry': [{'band': 'IRAC.I1', 'magnitude': 13.59, 'magnitude_error': 0.02, 'telescope': 'Spitzer', 'epoch': None, 'comments': None, 'reference': 'Kirk11'}, {'band': 'IRAC.I2', 'magnitude': 13.3, 'magnitude_error': 0.02, 'telescope': 'Spitzer', 'epoch': None, 'comments': None, 'reference': 'Kirk11'}, {'band': 'VISTA.J', 'magnitude': 15.73, 'magnitude_error': 0.005, 'telescope': 'VISTA', 'epoch': None, 'comments': None, 'reference': 'McMa13'}, {'band': 'WISE.W1', 'magnitude': 14.037, 'magnitude_error': 0.017, 'telescope': 'WISE', 'epoch': None, 'comments': 'Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).', 'reference': 'Maro21'}, {'band': 'WISE.W2', 'magnitude': 13.313, 'magnitude_error': 0.013, 'telescope': 'WISE', 'epoch': None, 'comments': 'Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).', 'reference': 'Maro21'}, {'band': 'WISE.W3', 'magnitude': 12.22, 'magnitude_error': 0.225, 'telescope': 'WISE', 'epoch': None, 'comments': 'Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).', 'reference': 'Cutr13'}], 'ProperMotions': [{'mu_ra': -126.0, 'mu_ra_error': 8.0, 'mu_dec': -607.0, 'mu_dec_error': 7.0, 'adopted': False, 'comments': None, 'reference': 'Kirk11'}, {'mu_ra': -142.7, 'mu_ra_error': 3.8, 'mu_dec': -620.0, 'mu_dec_error': 3.4, 'adopted': True, 'comments': 'Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).', 'reference': 'Maro21'}], 'SpectralTypes': [{'spectral_type_string': 'T3', 'spectral_type_code': 83.0, 'spectral_type_error': None, 'regime': 'nir', 'adopted': None, 'photometric': None, 'comments': None, 'reference': 'Kirk11'}]}\n" + ] + } + ], + "source": [ + "data = db.inventory('WISEPC J033349.34-585618.7', pretty_print=True)\n", + "print(data) " + ] + }, + { + "cell_type": "markdown", + "id": "78166d9c", + "metadata": {}, + "source": [ + "#### Now lets do a broader search, say you want to find all objects with the publication reference \"Cruz18\" " + ] + }, + { + "cell_type": "markdown", + "id": "6eaea4ee", + "metadata": {}, + "source": [ + "#### Within astrodbkit, we allow for the parameter format (fmt) so that you can decide how you wish to visualize your query. Your options are pandas, astropy, or default (default is an astropy table)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "147cb0e8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sources\n", + " source ra ... other_references comments \n", + "----------------------- ------------- ... ---------------- ------------\n", + "2MASS J15382417-1953116 234.60071 ... None None\n", + "2MASS J00110940+5149236 2.789182 ... None None\n", + "2MASS J15063706+2759544 226.65421 ... None galaxy\n", + "2MASS J05583706-1339123 89.654445 ... None None\n", + "2MASS J23490528+1833150 357.272 ... None None\n", + "2MASS J23202927+4123415 350.12167 ... None None\n", + "2MASS J22433237-1525260 340.884859 ... None None\n", + "2MASS J12490458-3454080 192.26979 ... None galaxy\n", + "2MASS J23364145+4822480 354.172713 ... None None\n", + "2MASS J05574102-1333264 89.420954 ... None not M\n", + " ... ... ... ... ...\n", + "2MASS J05574229-1333156 89.426209 ... None not M/galaxy\n", + "2MASS J23153135+0617146 348.880659 ... None None\n", + "2MASS J23255604-0259508 351.48352 ... None None\n", + "2MASS J02561474+1935213 44.0614166667 ... None None\n", + "2MASS J04214954+1528598 65.4564166667 ... None None\n", + "2MASS J08555320-0259207 133.97129 ... None giant\n", + "2MASS J22400942+3848306 340.039273 ... None None\n", + "2MASS J20151370-1252571 303.80692 ... None galaxy\n", + "2MASS J13570485-3946356 209.270208333 ... None None\n", + "2MASS J12475047-0152142 191.960334 ... None None\n", + "Length = 24 rows\n", + "Publications\n", + "reference ...\n", + "--------- ...\n", + " Cruz18 ...\n", + "Spectra\n", + " source ... other_references\n", + "----------------------- ... ----------------\n", + "2MASS J15382417-1953116 ... None\n", + "2MASS J00011217+1535355 ... None\n", + "2MASS J01443536-0716142 ... None\n", + "2MASS J15311344+1641282 ... None\n", + "2MASS J03101401-2756452 ... None\n", + "2MASS J15515237+0941148 ... None\n", + "2MASS J15515237+0941148 ... None\n", + "2MASS J15515237+0941148 ... None\n", + "2MASS J15515237+0941148 ... None\n", + "2MASS J15515237+0941148 ... None\n", + " ... ... ...\n", + "2MASS J21420580-3101162 ... None\n", + "2MASS J00332386-1521309 ... None\n", + "2MASS J13570485-3946356 ... None\n", + "2MASS J12475047-0152142 ... None\n", + "2MASS J22545194-2840253 ... None\n", + " LP 655- 48 ... None\n", + "2MASS J12312141+4959234 ... None\n", + "2MASS J05341594-0631397 ... None\n", + "2MASS J15392137+6502364 ... None\n", + "2MASS J22490917+3205489 ... None\n", + "Length = 186 rows\n", + "Sources\n", + " source ra dec epoch equinox shortname \\\n", + "0 2MASS J15382417-1953116 234.600710 -19.886556 None None 1538-1953 \n", + "1 2MASS J00110940+5149236 2.789182 51.823257 None None 0011+5149 \n", + "2 2MASS J15063706+2759544 226.654210 27.998833 None None None \n", + "3 2MASS J05583706-1339123 89.654445 -13.653394 None None 0558-1339 \n", + "4 2MASS J23490528+1833150 357.272000 18.554167 None None 2349+1833 \n", + "5 2MASS J23202927+4123415 350.121670 41.394722 None None None \n", + "6 2MASS J22433237-1525260 340.884859 -15.423901 None None 2243-1525 \n", + "7 2MASS J12490458-3454080 192.269790 -34.902194 None None None \n", + "8 2MASS J23364145+4822480 354.172713 48.380024 None None 2336+4822 \n", + "9 2MASS J05574102-1333264 89.420954 -13.557334 None None None \n", + "10 2MASS J01581172+3232013 29.548833 32.533694 None None 0158+3231 \n", + "11 2MASS J17213581-0619145 260.398420 -6.321167 None None 1721-0619 \n", + "12 2MASS J02562362+2013457 44.098417 20.229361 None None 0256+2013 \n", + "13 2MASS J05151593-0656262 78.816375 -6.940611 None None 0515-0656 \n", + "14 2MASS J05574229-1333156 89.426209 -13.554361 None None None \n", + "15 2MASS J23153135+0617146 348.880659 6.287398 None None 2315+0617 \n", + "16 2MASS J23255604-0259508 351.483520 -2.997467 None None 2325-0259 \n", + "17 2MASS J02561474+1935213 44.061417 19.589250 None None 0256+1935 \n", + "18 2MASS J04214954+1528598 65.456417 15.483278 None None 0421+1528 \n", + "19 2MASS J08555320-0259207 133.971290 -2.989306 None None None \n", + "20 2MASS J22400942+3848306 340.039273 38.808510 None None 2240+3848 \n", + "21 2MASS J20151370-1252571 303.806920 -12.881389 None None None \n", + "22 2MASS J13570485-3946356 209.270208 -39.776556 None None 1357-3946 \n", + "23 2MASS J12475047-0152142 191.960334 -1.870752 None None 1247-0152 \n", + "\n", + " reference other_references comments \n", + "0 Cruz18 None None \n", + "1 Cruz18 None None \n", + "2 Cruz18 None galaxy \n", + "3 Cruz18 None None \n", + "4 Cruz18 None None \n", + "5 Cruz18 None None \n", + "6 Cruz18 None None \n", + "7 Cruz18 None galaxy \n", + "8 Cruz18 None None \n", + "9 Cruz18 None not M \n", + "10 Cruz18 None None \n", + "11 Cruz18 None None \n", + "12 Cruz18 None None \n", + "13 Cruz18 None None \n", + "14 Cruz18 None not M/galaxy \n", + "15 Cruz18 None None \n", + "16 Cruz18 None None \n", + "17 Cruz18 None None \n", + "18 Cruz18 None None \n", + "19 Cruz18 None giant \n", + "20 Cruz18 None None \n", + "21 Cruz18 None galaxy \n", + "22 Cruz18 None None \n", + "23 Cruz18 None None \n", + "Publications\n", + " reference bibcode doi \\\n", + "0 Cruz18 2018AJ....155...34C 10.3847/1538-3881/aa9d8a \n", + "\n", + " description \n", + "0 Meeting the Cool Neighbors XII: An Optically-A... \n", + "Spectra\n", + " source \\\n", + "0 2MASS J15382417-1953116 \n", + "1 2MASS J00011217+1535355 \n", + "2 2MASS J01443536-0716142 \n", + "3 2MASS J15311344+1641282 \n", + "4 2MASS J03101401-2756452 \n", + ".. ... \n", + "181 LP 655- 48 \n", + "182 2MASS J12312141+4959234 \n", + "183 2MASS J05341594-0631397 \n", + "184 2MASS J15392137+6502364 \n", + "185 2MASS J22490917+3205489 \n", + "\n", + " access_url original_spectrum \\\n", + "0 https://s3.amazonaws.com/bdnyc/optical_spectra... None \n", + "1 https://s3.amazonaws.com/bdnyc/nir_spectra/U20... None \n", + "2 https://s3.amazonaws.com/bdnyc/nir_spectra/U10... None \n", + "3 https://s3.amazonaws.com/bdnyc/nir_spectra/U11... None \n", + "4 https://s3.amazonaws.com/bdnyc/nir_spectra/U10... None \n", + ".. ... ... \n", + "181 https://s3.amazonaws.com/bdnyc/nir_spectra/U10... None \n", + "182 https://s3.amazonaws.com/bdnyc/nir_spectra/U11... None \n", + "183 https://s3.amazonaws.com/bdnyc/nir_spectra/j05... None \n", + "184 https://s3.amazonaws.com/bdnyc/nir_spectra/U20... None \n", + "185 https://s3.amazonaws.com/bdnyc/SpeX/Prism/U132... None \n", + "\n", + " local_spectrum regime telescope \\\n", + "0 $BDNYC_spectra/optical_spectra/2MASS1538-1953_... optical Keck I \n", + "1 $BDNYC_spectra/nir_spectra/U20001.fits nir IRTF \n", + "2 $BDNYC_spectra/nir_spectra/U10088.fits nir IRTF \n", + "3 $BDNYC_spectra/nir_spectra/U11343.fits nir IRTF \n", + "4 $BDNYC_spectra/nir_spectra/U10170_0310-2756.fits nir IRTF \n", + ".. ... ... ... \n", + "181 $BDNYC_spectra/nir_spectra/U10316.fits nir IRTF \n", + "182 $BDNYC_spectra/nir_spectra/U11076_1231+4959.fits nir IRTF \n", + "183 $BDNYC_spectra/nir_spectra/j0534-0631prismtc1.... nir IRTF \n", + "184 $BDNYC_spectra/nir_spectra/U20623.fits nir IRTF \n", + "185 $BDNYC_spectra/SpeX/Prism/U13209.fits nir IRTF \n", + "\n", + " instrument mode observation_date comments reference other_references \n", + "0 LRIS Missing 2010-07-17 None Cruz18 None \n", + "1 SpeX Prism 2003-09-03 None Cruz18 None \n", + "2 SpeX Prism 2004-11-08 None Cruz18 None \n", + "3 SpeX Prism 2003-09-04 None Cruz18 None \n", + "4 SpeX Prism 2011-12-08 None Cruz18 None \n", + ".. ... ... ... ... ... ... \n", + "181 SpeX Prism 2004-11-08 None Cruz18 None \n", + "182 SpeX Prism 2011-12-08 None Cruz18 None \n", + "183 SpeX Prism 2006-12-08 None Cruz18 None \n", + "184 SpeX Prism 2003-09-03 None Cruz18 None \n", + "185 SpeX Prism 2003-08-12 None Cruz18 None \n", + "\n", + "[186 rows x 12 columns]\n" + ] + }, + { + "data": { + "text/plain": [ + "{'Sources': source ra dec epoch equinox shortname \\\n", + " 0 2MASS J15382417-1953116 234.600710 -19.886556 None None 1538-1953 \n", + " 1 2MASS J00110940+5149236 2.789182 51.823257 None None 0011+5149 \n", + " 2 2MASS J15063706+2759544 226.654210 27.998833 None None None \n", + " 3 2MASS J05583706-1339123 89.654445 -13.653394 None None 0558-1339 \n", + " 4 2MASS J23490528+1833150 357.272000 18.554167 None None 2349+1833 \n", + " 5 2MASS J23202927+4123415 350.121670 41.394722 None None None \n", + " 6 2MASS J22433237-1525260 340.884859 -15.423901 None None 2243-1525 \n", + " 7 2MASS J12490458-3454080 192.269790 -34.902194 None None None \n", + " 8 2MASS J23364145+4822480 354.172713 48.380024 None None 2336+4822 \n", + " 9 2MASS J05574102-1333264 89.420954 -13.557334 None None None \n", + " 10 2MASS J01581172+3232013 29.548833 32.533694 None None 0158+3231 \n", + " 11 2MASS J17213581-0619145 260.398420 -6.321167 None None 1721-0619 \n", + " 12 2MASS J02562362+2013457 44.098417 20.229361 None None 0256+2013 \n", + " 13 2MASS J05151593-0656262 78.816375 -6.940611 None None 0515-0656 \n", + " 14 2MASS J05574229-1333156 89.426209 -13.554361 None None None \n", + " 15 2MASS J23153135+0617146 348.880659 6.287398 None None 2315+0617 \n", + " 16 2MASS J23255604-0259508 351.483520 -2.997467 None None 2325-0259 \n", + " 17 2MASS J02561474+1935213 44.061417 19.589250 None None 0256+1935 \n", + " 18 2MASS J04214954+1528598 65.456417 15.483278 None None 0421+1528 \n", + " 19 2MASS J08555320-0259207 133.971290 -2.989306 None None None \n", + " 20 2MASS J22400942+3848306 340.039273 38.808510 None None 2240+3848 \n", + " 21 2MASS J20151370-1252571 303.806920 -12.881389 None None None \n", + " 22 2MASS J13570485-3946356 209.270208 -39.776556 None None 1357-3946 \n", + " 23 2MASS J12475047-0152142 191.960334 -1.870752 None None 1247-0152 \n", + " \n", + " reference other_references comments \n", + " 0 Cruz18 None None \n", + " 1 Cruz18 None None \n", + " 2 Cruz18 None galaxy \n", + " 3 Cruz18 None None \n", + " 4 Cruz18 None None \n", + " 5 Cruz18 None None \n", + " 6 Cruz18 None None \n", + " 7 Cruz18 None galaxy \n", + " 8 Cruz18 None None \n", + " 9 Cruz18 None not M \n", + " 10 Cruz18 None None \n", + " 11 Cruz18 None None \n", + " 12 Cruz18 None None \n", + " 13 Cruz18 None None \n", + " 14 Cruz18 None not M/galaxy \n", + " 15 Cruz18 None None \n", + " 16 Cruz18 None None \n", + " 17 Cruz18 None None \n", + " 18 Cruz18 None None \n", + " 19 Cruz18 None giant \n", + " 20 Cruz18 None None \n", + " 21 Cruz18 None galaxy \n", + " 22 Cruz18 None None \n", + " 23 Cruz18 None None ,\n", + " 'Publications': reference bibcode doi \\\n", + " 0 Cruz18 2018AJ....155...34C 10.3847/1538-3881/aa9d8a \n", + " \n", + " description \n", + " 0 Meeting the Cool Neighbors XII: An Optically-A... ,\n", + " 'Spectra': source \\\n", + " 0 2MASS J15382417-1953116 \n", + " 1 2MASS J00011217+1535355 \n", + " 2 2MASS J01443536-0716142 \n", + " 3 2MASS J15311344+1641282 \n", + " 4 2MASS J03101401-2756452 \n", + " .. ... \n", + " 181 LP 655- 48 \n", + " 182 2MASS J12312141+4959234 \n", + " 183 2MASS J05341594-0631397 \n", + " 184 2MASS J15392137+6502364 \n", + " 185 2MASS J22490917+3205489 \n", + " \n", + " access_url original_spectrum \\\n", + " 0 https://s3.amazonaws.com/bdnyc/optical_spectra... None \n", + " 1 https://s3.amazonaws.com/bdnyc/nir_spectra/U20... None \n", + " 2 https://s3.amazonaws.com/bdnyc/nir_spectra/U10... None \n", + " 3 https://s3.amazonaws.com/bdnyc/nir_spectra/U11... None \n", + " 4 https://s3.amazonaws.com/bdnyc/nir_spectra/U10... None \n", + " .. ... ... \n", + " 181 https://s3.amazonaws.com/bdnyc/nir_spectra/U10... None \n", + " 182 https://s3.amazonaws.com/bdnyc/nir_spectra/U11... None \n", + " 183 https://s3.amazonaws.com/bdnyc/nir_spectra/j05... None \n", + " 184 https://s3.amazonaws.com/bdnyc/nir_spectra/U20... None \n", + " 185 https://s3.amazonaws.com/bdnyc/SpeX/Prism/U132... None \n", + " \n", + " local_spectrum regime telescope \\\n", + " 0 $BDNYC_spectra/optical_spectra/2MASS1538-1953_... optical Keck I \n", + " 1 $BDNYC_spectra/nir_spectra/U20001.fits nir IRTF \n", + " 2 $BDNYC_spectra/nir_spectra/U10088.fits nir IRTF \n", + " 3 $BDNYC_spectra/nir_spectra/U11343.fits nir IRTF \n", + " 4 $BDNYC_spectra/nir_spectra/U10170_0310-2756.fits nir IRTF \n", + " .. ... ... ... \n", + " 181 $BDNYC_spectra/nir_spectra/U10316.fits nir IRTF \n", + " 182 $BDNYC_spectra/nir_spectra/U11076_1231+4959.fits nir IRTF \n", + " 183 $BDNYC_spectra/nir_spectra/j0534-0631prismtc1.... nir IRTF \n", + " 184 $BDNYC_spectra/nir_spectra/U20623.fits nir IRTF \n", + " 185 $BDNYC_spectra/SpeX/Prism/U13209.fits nir IRTF \n", + " \n", + " instrument mode observation_date comments reference other_references \n", + " 0 LRIS Missing 2010-07-17 None Cruz18 None \n", + " 1 SpeX Prism 2003-09-03 None Cruz18 None \n", + " 2 SpeX Prism 2004-11-08 None Cruz18 None \n", + " 3 SpeX Prism 2003-09-04 None Cruz18 None \n", + " 4 SpeX Prism 2011-12-08 None Cruz18 None \n", + " .. ... ... ... ... ... ... \n", + " 181 SpeX Prism 2004-11-08 None Cruz18 None \n", + " 182 SpeX Prism 2011-12-08 None Cruz18 None \n", + " 183 SpeX Prism 2006-12-08 None Cruz18 None \n", + " 184 SpeX Prism 2003-09-03 None Cruz18 None \n", + " 185 SpeX Prism 2003-08-12 None Cruz18 None \n", + " \n", + " [186 rows x 12 columns]}" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "db.search_string('Cruz18', fuzzy_search=False) # search for strings exactly matching Cruz19 anywhere in the database\n", + "db.search_string('Cruz18', fuzzy_search=False, fmt='pandas') # as above, but have each table as a pandas dataframe" + ] + }, + { + "cell_type": "markdown", + "id": "9291275e", + "metadata": {}, + "source": [ + "#### Next exaple is query region, where you can use SkyCoord to create a coordinates object that query_region uses to query the database, in this example the Sources table. Make sure to use as accurate as a coordinate as possible. " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "84eca441", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "data": { + "text/html": [ + "
Table length=1\n", + "
\n", + "\n", + "\n", + "\n", + "
sourceradecepochequinoxshortnamereferenceother_referencescomments
str23float64float64objectobjectstr9str10objectobject
2MASS J09373487+2931409144.39529229.528028NoneNone0937+2931Burg02.421NoneNone
" + ], + "text/plain": [ + "\n", + " source ra dec ... other_references comments\n", + " str23 float64 float64 ... object object \n", + "----------------------- ---------- --------- ... ---------------- --------\n", + "2MASS J09373487+2931409 144.395292 29.528028 ... None None" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# An example of query wth an empty table\n", + "incorrect_results = db.query_region(SkyCoord(144.3, 29.5, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec') # specifying the name of the table with coordinate information\n", + "print(incorrect_results) \n", + "\n", + "# An example that queries the database correctly \n", + "correct_results = db.query_region(SkyCoord(144.395292, 29.528028, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec') # specifying the name of the table with coordinate information\n", + "correct_results" + ] + }, + { + "cell_type": "markdown", + "id": "fae1c2a9", + "metadata": {}, + "source": [ + "#### Have a more complex query? Let use astrodb_utils.sql_query to run a SQL query directly \n", + "##### astrodbkit has a functoin sql_query which allows you to add in specific functions without needing to write out all the sql commands yourself" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "60df2dd6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('1RXS J115928.5-524717', 179.864, -52.7886, None, '2000', None, 'Hamb04.265', None, None),\n", + " ('ULAS J114925.58-014343.2', 177.3569, -1.7287, None, '2000', None, 'Burn10.1885', None, None),\n", + " ('DENIS-P J1756561-480509', 269.2342, -48.086, None, '2000', None, 'Phan08', None, None),\n", + " ('SDSS J161420.50+004643.6', 243.585, 0.7785, None, '2000', None, 'Hawl02', None, None),\n", + " ('SDSS J083717.21-000018.0', 129.3215835, -0.004972, None, None, '0837-0000', 'Legg00', None, None),\n", + " ('2MASS J06080232-2944590', 92.0097, -29.7497, None, '2000', None, 'Cruz03', None, None),\n", + " ('ULAS 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None, '2000', None, 'Deac12.94', None, None),\n", + " ('DENIS-P J0823031-491201', 125.7631, -49.2004, None, '2000', None, 'Phan08', None, None),\n", + " ('2MASS J15394189-0520428', 234.9245415, -5.345222, None, None, '1539-0520', 'Kend04', None, None),\n", + " ('kappa And B', 355.1021, 44.3339, None, '2000', None, 'Cars13', None, None),\n", + " ('ULAS J142145.63+013619.0', 215.4401, 1.6053, None, '2000', None, 'Burn13', None, None),\n", + " ('HIP 65706B', 202.0872, 30.0552, None, '2000', None, 'Deac14.119', None, None),\n", + " ('SDSS J163030.53+434404.0', 247.6273, 43.7343, None, '2000', None, 'Knap04', None, None),\n", + " ('ULAS J135359.58+011856.7', 208.49827, 1.315773, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", + " ('2MASS J06160532-4557080', 94.0221945, -45.952244, None, None, '0616-4557', 'Reid08.1290', None, None),\n", + " ('2MASS J13435275-3851385', 205.9698, -38.8607, None, '2000', None, 'Reid08.1290', None, None),\n", + " 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None, 'Tinn18', None, None),\n", + " ('2MASS J13341216-8226232', 203.5504, -82.4397, None, '2000', None, 'Kirk10', None, None),\n", + " ('2MASS J22191486-6828018', 334.8119, -68.4672, None, '2000', None, 'Gagn15.33', None, None),\n", + " ('2MASS J23185497-1301106', 349.729, -13.0197, None, '2000', None, 'Maro13', None, None),\n", + " ('2MASS J00034227-2822410', 0.926125, -28.378056, None, None, '0003-2822', 'Cruz07', None, None),\n", + " ('CWISE J002159.02-451434.4', 5.4959547, -45.2428987, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('SDSS J152103.24+013142.7', 230.2635, 1.5285, None, '2000', None, 'Knap04', None, None),\n", + " ('ULAS J154701.84+005320.3', 236.7575, 0.8892, None, '2000', None, 'Pinf08', None, None),\n", + " ('2MASS J08293244-0238543', 127.3853, -2.6485, None, '2000', None, 'Cruz03', None, None),\n", + " ('2MASS J12474944-1117551', 191.9559, -11.2987, None, '2000', None, 'Kirk10', None, None),\n", + " ('PSO J280.2973+63.2600', 280.2976, 63.2596, None, 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None, 'Kirk10', None, None),\n", + " ('SIPS J0058-0651', 14.677208, -6.8566389, None, None, '0058-0651', 'Kirk00', None, None),\n", + " ('WISEA J042449.21-595905.6', 66.2051, -59.9849, None, '2000', None, 'Luhm14.126', None, None),\n", + " ('LP 44-334', 280.0098, 72.6817, None, '2000', None, 'Reid04', None, None),\n", + " ('NLTT 38489B', 222.1936, 56.1822, None, '2000', None, 'Deac14.119', None, None),\n", + " ('2MASS J19170993+7755597', 289.2914, 77.9333, None, '2000', None, 'Reid08.1290', None, None),\n", + " ('WISE J113949.24-332425.1', 174.9552, -33.4071, None, '2000', None, 'Thom13', None, None),\n", + " ('SDSS J155120.86+432930.3', 237.837, 43.4917, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('2MASS J23361644+1835004', 354.06852, 18.583447, None, None, None, 'Cruz03', None, None),\n", + " ('SDSS J132715.21+075937.5', 201.8136, 7.9938, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('WASP-103b', 249.315, 7.18337, 2000.0, 'J2000', None, 'Cole14', None, None),\n", + " ('LHS 2930', 217.6575, 59.7236, None, '2000', None, 'Prob83', None, None),\n", + " ('2MASS J11112820-2655027', 167.8675, -26.9174, None, '2000', None, 'Gagn17.18', None, None),\n", + " ('2MASS J23202927+4123415', 350.12167, 41.394722, None, None, None, 'Cruz18', None, None),\n", + " ('NLTT 55219B', 343.6182, 22.0486, None, '2000', None, 'Deac14.119', None, None),\n", + " ('2MASSW J0832045-012835', 128.0188, -1.4767, None, '2000', None, 'Kirk00', None, None),\n", + " ('2MASS J03144011-0450316', 48.6671, -4.8422, None, '2000', None, 'Cruz03', None, None),\n", + " ('ULAS J141520.66+041647.1', 213.8361, 4.2798, None, '2000', None, 'Card15', None, None),\n", + " ('SDSS J002209.31-011040.2', 5.5388, -1.1778, None, '2000', None, 'West08', None, None),\n", + " ('2MASS J17380025+8505130', 264.39525, 85.086194, None, None, None, 'Reid08.1290', None, None),\n", + " ('HR 8799b', 346.8696, 21.1343, None, '2000', None, 'Maro08', None, None),\n", + " ('LHS 1074', 6.4634, -7.8022, None, 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None, None, '2057-0252', 'Cruz03', None, None),\n", + " ('2MASS J19285196-4356256', 292.2165, -43.940444, None, None, '1928-4356', 'Reid08.1290', None, None),\n", + " ('EQ J0223-2932', 35.843292, -29.549472, None, None, '0223-2932', 'Kirk11', None, None),\n", + " ('2MASS J04453237-3642258', 71.3848, -36.7071, None, '2000', None, 'Cruz03', None, None),\n", + " ('2MASS J02103857-3015313', 32.6607084, -30.25869444, None, None, '0210-3015', 'Gagn15.33', None, None),\n", + " ('2MASS J02540582-1934523', 43.566542, -19.568472, None, None, None, 'Reid08.1290', None, None),\n", + " ('2MASS J15072779-2000431', 226.8659, -20.012, None, '2000', None, 'Cruz03', None, None),\n", + " ('2MASS J13464634-0031501', 206.6930835, -0.530583, None, None, '1346-0031', 'Tsve00', None, None),\n", + " ('PSO J239.7016-23.2664', 239.7016, -23.2665, None, '2000', None, 'Best17.95', None, None),\n", + " ('2MASS J23440624-0733282', 356.0260005, -7.557833, None, None, '2344-0733', 'Kirk08', None, None),\n", + " ('2MASS J12563961-2718455', 194.165047, -27.31266, None, None, '1256-2718', 'Gagn15.33', None, None),\n", + " ('2MASS J21324898-1452544', 323.2041, -14.8818, None, '2000', None, 'Maro13', None, None),\n", + " ('ULAS J095829.86-003932.0', 149.6236, -0.6572, None, '2000', None, 'Pinf08', None, None),\n", + " ('PSO J005.6302-06.8669', 5.6307, -6.8671, None, '2000', None, 'Best20.257', None, None),\n", + " ('WISEA J144033.28-080406.9', 220.138, -8.068, None, '2000', None, 'Schn16.112', None, None),\n", + " ('LP 851-346', 178.9285, -22.4163, None, '2000', None, 'Crif05', None, None),\n", + " ('SIPS J0614-2019', 93.5499, -20.3218, None, '2000', None, 'Deac07', None, None),\n", + " ('PSO J136.5494-06.1944', 136.5493, -6.1944, None, '2000', None, 'Best15', None, None),\n", + " ('CWISE J233531.55+014219.6', 353.8814851, 1.7054667, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('WISEPA J174124.26+255319.5', 265.3522, 25.893, None, '2000', None, 'Kirk11', None, 'Best20 lists discovery as 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J1049-5319B', 162.329, -53.3192, 2000.0, 'J2000', None, 'Luhm13', None, None),\n", + " ('VHS J143311.46-083736.3', 218.2976, -8.6268, None, '2000', None, 'Lodi12.53', None, None),\n", + " ('SDSS J141838.08+145522.4', 214.6589, 14.923, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('WISE J023038.90-022554.0', 37.6612, -2.4319, None, '2000', None, 'Thom13', None, None),\n", + " ('2MASS J21555848+2345307', 328.9936, 23.7585, None, '2000', None, 'Kirk10', None, None),\n", + " ('ULAS J134206.86+053724.9', 205.5288103, 5.6241134, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", + " ('ULAS J223347.82+002214.0', 338.4493, 0.3706, None, '2000', None, 'DayJ13', None, None),\n", + " ('2MASS J03510004-0052452', 57.750083, -0.87940833, None, None, '0351-0052', 'Luyt79.5', None, None),\n", + " ('CWISE J153143.38-330657.3', 232.93075, -33.11591666666667, None, None, None, 'Kirk21', None, None),\n", + " ('2MASS J17312974+2721233', 262.873917, 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" ('ULAS J140152.43+090733.1', 210.4687, 9.1258, None, '2000', None, 'Maro15', None, None),\n", + " ('2MASS J17161258+4125143', 259.0525, 41.4206, None, '2000', None, 'Kell15', None, None),\n", + " ('DENIS-P J1157480-484442', 179.4504, -48.7452, None, '2000', None, 'Phan08', None, None),\n", + " ('2MASS J20111253+7153122', 302.8025, 71.8867, None, '2000', None, 'Kirk10', None, None),\n", + " ('2MASS J15485834-1636018', 237.243, -16.6006, None, '2000', None, 'Kend07', None, None),\n", + " ('2MASS J18521683+5257195', 283.07013, 52.955425, None, None, None, 'Cruz03', None, None),\n", + " ('LP 775-31', 68.817083, -16.115833, None, None, '0435-1606', 'Luyt79.2', None, None),\n", + " ('DENIS J004135.3-562112', 10.397417, -56.353528, None, None, '0041-5621', 'Phan01', None, None),\n", + " ('2MASS J05185995-2828372', 79.749792, -28.477, None, None, '0518-2828', 'Cruz04', None, None),\n", + " ('ULAS J144220.94+084945.9', 220.5873, 8.8293, None, '2000', None, 'Maro15', None, None),\n", + " ('ULAS J134414.90+092405.0', 206.0619, 9.4013, None, '2000', None, 'Maro15', None, None),\n", + " ('PSO J201.0320+19.1072', 201.0323, 19.1075, None, '2000', None, 'Deac11', None, None),\n", + " ('CWISEP J223138.55-383057.2', 337.9106249999999, -38.51588888888889, None, None, None, 'Meis20.74', None, None),\n", + " ('CWISE J002658.73-260859.6', 6.7447362, -26.1499067, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('2MASS J02292794-0053282', 37.366455, -0.891185, None, None, '0229-0053', 'Alle13', None, None),\n", + " ('2MASSI J1456014-274735', 224.0058, -27.7935, None, '2000', None, 'Cruz03', None, None),\n", + " ('WISEA J032504.52-504403.0', 51.26883, -50.73417, None, None, '0325-5044', 'Schn15', None, None),\n", + " ('2MASS J15341068+0426410', 233.5445, 4.4447, None, '2000', None, 'Geis11', None, None),\n", + " ('PSO J246.1033-19.6194', 246.1029, -19.6191, None, '2000', None, 'Best20.257', None, None),\n", + " ('TVLM 868-110639', 227.57021, -2.6852778, None, None, '1510-0241', 'Tinn92', None, None),\n", + " ('HR 8799d', 346.8696, 21.1343, None, '2000', None, 'Maro08', None, None),\n", + " ('2MASS J17285995+7518436', 262.24396, 75.310639, None, None, None, 'Reid08.1290', None, None),\n", + " ('WISE J173551.72-820900.1', 263.9649, -82.1501, None, '2000', None, 'Tinn18', None, None),\n", + " ('2MASS J21501324-6610366', 327.55542, -66.176667, None, None, '2150-6610', 'Mart99.107', None, None),\n", + " ('SDSS J162208.04+454813.1', 245.5335, 45.8037, None, '2000', None, 'West08', None, None),\n", + " ('WISE J223720.39+722833.8', 339.3359, 72.4764, None, '2000', None, 'Mace13.6', None, None),\n", + " ('2MASS J20261584-2943124', 306.5659995, -29.720111, None, None, '2026-2943', 'Cruz07', None, None),\n", + " ('CWISE J091902.55-574837.3', 139.7606504, -57.8103837, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('ULAS J135607.41+085345.2', 209.0307, 8.8957, None, '2000', None, 'Burn10.1885', None, None),\n", + " ('PSO J235.3149+61.5071', 235.3153, 61.5071, None, None, None, 'Alle16.PhDT', None, None),\n", + " ('USNO-B1.0 0757-00057276', 68.810625, -14.246333, None, None, '0435-1414', 'Cruz03', None, None),\n", + " ('2MASS J23364145+4822480', 354.172713, 48.380024, None, None, '2336+4822', 'Cruz18', None, None),\n", + " ('SDSS J152529.74+200407.9', 231.3739, 20.0689, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('WISEA J012057.0-764216.4', 20.237499999999997, -76.70455555555556, None, None, None, 'Meis20.123', None, None),\n", + " ('SDSS J144016.20+002638.9', 220.0675, 0.4443, None, '2000', None, 'Hawl02', None, None),\n", + " ('2MASS J00145575-4844171', 3.7322917, -48.738083, None, None, '0014-4844', 'Kirk08', None, None),\n", + " ('SDSS J162834.35+242847.2', 247.1431, 24.4799, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('DENIS J2354599-185221', 358.7497, -18.8727, None, '2000', None, 'Mart10', None, None),\n", + " ('CWISEP J052346.34-545314.7', 80.94308333333333, -54.88741666666667, None, None, None, 'Meis20.74', None, None),\n", + " ('ULAS J022200.43-002410.5', 35.5018, -0.4029, None, '2000', None, 'Pinf08', None, None),\n", + " ('ULAS J133828.69-014245.4', 204.6196, -1.7125, None, '2000', None, 'Burn13', None, None),\n", + " ('2MASS J03393521-3525440', 54.896708, -35.428889, None, None, '0339-3525', 'Luyt79.2', None, None),\n", + " ('SDSSp J125737.26-011336.1', 194.4057, -1.2267, None, '2000', None, 'Geba02', None, None),\n", + " ('ULAS J145231.11+033944.0', 223.1297, 3.6622, None, '2000', None, 'Maro15', None, None),\n", + " ('PSO J160.0416-21.3281', 160.0423, -21.3279, None, '2000', None, 'Best15', None, None),\n", + " ('2MASS J16553529-0823401', 253.897053, -8.394476, None, None, '1655-0823', 'vanB61', None, None),\n", + " ('S Ori 47', 84.5609, -2.6709, None, '2000', None, 'Zapa99.115', None, None),\n", + " ('ULAS J233002.13+140329.9', 352.5089, 14.0584, None, '2000', None, 'DayJ13', None, None),\n", + " ('DENIS J1013-7842', 153.3582, -78.7153, None, '2000', None, 'Aber14.129', None, None),\n", + " ('PSO J117.0600-01.6779', 117.0615, -1.6767, None, '2000', None, 'Best20.257', None, None),\n", + " ('LSR J1826+3014', 276.5458, 30.2386, None, '2000', None, 'Lepi02.47', None, None),\n", + " ('2MASS J23470713+0219127', 356.7799271, 2.3202519, None, None, None, 'Schn16.112', None, 'Discovery reference from the BONES archive'),\n", + " ('2MASS J22264440-7503425', 336.6851, -75.0618, None, '2000', None, 'Luyt79.2', None, None),\n", + " ('WISEA J000622.67-131955.2', 1.5953, -13.3308, None, '2000', None, 'Luhm14.126', None, None),\n", + " ('SDSS J161312.06+472918.2', 243.3002, 47.4884, None, '2000', None, 'West08', None, None),\n", + " ('2MASS J04291842-3123568', 67.326773, -31.399113, None, None, '0429-3123', 'Cruz03', None, None),\n", + " ('WISE J144806.48-253420.3', 222.027, -25.5724, None, '2000', None, 'Thom13', None, None),\n", + " ('2MASS J13080663-4925505', 197.0275, -49.4307, None, '2000', None, 'Folk12', None, None),\n", + " ('WISEA J211543.59-322540.4', 318.9312, -32.4273, None, '2000', None, 'Kirk14', None, None),\n", + " ('ULAS J222711-004547', 336.7956, -0.7632, None, '2000', None, 'Maro14', None, None),\n", + " ('2MASS J11181292-0856106', 169.553849, -8.936299, None, None, '1118-0856', 'Kirk10', None, None),\n", + " ('2MASS J15461461+4932114', 236.5611, 49.5362, None, '2000', None, 'Metc08', None, None),\n", + " ('CWISE J133427.70-273053.1', 203.6154266, -27.5147656, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", + " ('2MASS J16265698+3954482', 246.73745, 39.913391, None, None, None, 'Cruz03', None, None),\n", + " ('2MASS J20140359-2016217', 303.5152, -20.2727, None, '2000', None, 'Cruz03', None, None),\n", + " ('ULAS J131106.96-013742.3', 197.7789, -1.6284, None, '2000', None, 'Maro15', None, None),\n", + " ('CWISEP J235547.99+380438.9', 358.9499583333333, 38.07747222222223, None, None, None, 'Meis20.74', None, None),\n", + " ('2MASS J00550470-3052005', 13.769167, -30.866667, None, None, None, 'Cruz07', None, None),\n", + " ('DENIS-P J0644143-284141', 101.0601, -28.6949, None, '2000', None, 'Phan08', None, None),\n", + " ('2MASS J01174748-3403258', 19.447833, -34.057167, None, None, '0117-3403', 'Cruz03', None, None),\n", + " ('2MASS J17195973-0640313', 259.99887, -6.6753611, None, None, None, 'Reid08.1290', None, None),\n", + " ('PSO J136.5380-14.3267', 136.5389, -14.3272, None, '2000', None, 'Best20.257', None, None),\n", + " ('51 Eri b', 69.40041, -2.47361, None, None, '0437-0228b', 'Maci15', None, None),\n", + " ('2MASS J21144103-4339531', 318.6713, -43.6652, None, '2000', None, 'Gagn15.33', None, None),\n", + " ('2MASS J12321827-0951502', 188.0761245, -9.863944, None, None, '1232-0951', 'Reid08.1290', None, None),\n", + " ('WISEA J011154.36-505343.2', 17.9765, -50.8954, None, '2000', None, 'Luhm14.126', None, None),\n", + " ('ULAS J133836.97-022910.7', 204.6543, -2.4854, None, '2000', None, 'Zhan17.3040', None, None),\n", + " ('2MASSI J1658037+702701', 254.51585415, 70.45043333, None, None, '1658+7026', 'Gizi00', None, None),\n", + " ('CFBDS J022644.65-062522.0', 36.686, -6.4228, None, '2000', None, 'Albe11', None, None),\n", + " ('2MASS J05574102-1333264', 89.420954, -13.557334, None, None, None, 'Cruz18', None, 'not M'),\n", + " ('2MASS J09393548-2448279', 144.897834, -24.80775, None, None, '0939-2448', 'Tinn05.2326', None, None),\n", + " ('2MASS J22590210+1156035', 344.758944, 11.933929, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", + " ('EQ J1320+6034', 200.017335, 60.573944, None, None, '1320+6034', 'Kirk11', None, None),\n", + " ('SDSS J135923.99+472843.2', 209.85, 47.4787, None, '2000', None, 'Knap04', None, None),\n", + " ('2MASS J14250510+7102097', 216.2645, 71.0355, None, None, '1425+7102', 'Lepi03.69', None, None),\n", + " ('2MASS J16262034+3925190', 246.5847495, 39.421944, None, None, '1626+3925', 'Burg04.73', None, None),\n", + " ('SDSS J143132.79+351300.6', 217.8867, 35.2168, None, '2000', None, 'Schm10.1808', None, None),\n", + " ('SDSS J133312.79+150956.6', 203.3034, 15.1658, None, '2000', None, 'Schm10.1808', None, None),\n", + " ...]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sqlalchemy import and_, or_\n", + "\n", + "# Query with multiple conditions\n", + "db.query(db.Sources).filter(db.Sources.c.dec > 0).filter(db.Sources.c.ra < 200).all()\n", + "\n", + "# Query with AND\n", + "db.query(db.Sources).filter(and_(db.Sources.c.dec > 0, db.Sources.c.ra > 200)).all()\n", + "\n", + "# Query with OR\n", + "db.query(db.Sources).filter(or_(db.Sources.c.dec < 0, db.Sources.c.ra > 200)).all()" + ] + }, + { + "cell_type": "markdown", + "id": "69912aad", + "metadata": {}, + "source": [ + "#### Query the count of sources in the database" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "19aa317e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total number of objects in the SIMPLE database: 3619\n" + ] + } + ], + "source": [ + "# Query the total number of objects within SIMPLE\n", + "result = db.sql_query(\"SELECT COUNT(*) FROM Sources\")\n", + "total_objects = result[0][0]\n", + "\n", + "\n", + "print(f\"Total number of objects in the SIMPLE database: {total_objects}\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "7b517acd", + "metadata": {}, + "source": [ + "#### Query Sources by String " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "6444304a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 616 WISE sources in the database\n", + "\n", + "First Three WISE Sources:\n", + "('CWISEP J230158.30-645858.3', 345.4929166666666, -64.98286111111112, None, None, None, 'Meis20.74', None, None)\n", + "('WISE J200403.17-263751.7', 301.013, -26.6293, None, '2000', None, 'Thom13', None, None)\n", + "('WISEA J012834.87-280302.5', 22.145291666666665, -28.050694444444446, None, None, None, 'Meis20.123', None, None)\n" + ] + } + ], + "source": [ + "wise_sources_query = \"SELECT * FROM Sources WHERE source LIKE '%WISE%'\"\n", + "wise_sources = db.sql_query(wise_sources_query)\n", + "\n", + "print(f\"Found {len(wise_sources)} WISE sources in the database\")\n", + "print(\"\\nFirst Three WISE Sources:\")\n", + "for source in wise_sources[:3]: # Display first 3 sources\n", + " print(source)" + ] + }, + { + "cell_type": "markdown", + "id": "a69f4515", + "metadata": {}, + "source": [ + "#### Query by Program ID (\"PID\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "16631ad3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 55 spectra with PID references in the database\n", + "('VB 10', 'https://s3.amazonaws.com/bdnyc/Gl+752B+%285-35um%29.txt', None, '$BDNYC_spectra/IRS/Gl 752B (5-35um).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-10-11 00:00:00.000000', None, 'PID29', None)\n", + "('2MASS J10042066+5022596', 'https://s3.amazonaws.com/bdnyc/IRS/G196-3B.txt', None, '$BDNYC_spectra/IRS/G196-3B.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-04-17 04:40:11.761000', None, 'PID51', None)\n", + "('2MASS J10224821+5825453', 'https://s3.amazonaws.com/bdnyc/IRS/1022%2B5825.txt', None, '$BDNYC_spectra/IRS/1022+5825.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-04-16 13:45:42.752000', None, 'PID3136', None)\n", + "('2MASS J12392727+5515371', 'https://s3.amazonaws.com/bdnyc/1239%2B5515.txt', None, '$BDNYC_spectra/IRS/1239+5515.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-04-18 02:01:06.605000', None, 'PID51', None)\n", + "('2MASS J00001354+2554180', 'https://s3.amazonaws.com/bdnyc/IRS/0000%2B2554%20%285-14.5um%29.txt', None, '$BDNYC_spectra/IRS/0000+2554 (5-14.5um).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-12-18 00:00:00.000000', None, 'PID20514', None)\n", + "('2MASS J07464256+2000321', 'https://s3.amazonaws.com/bdnyc/0746%2B2000.txt', None, '$BDNYC_spectra/IRS/0746+2000.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-03-27 00:32:11.624000', None, 'PID51', None)\n", + "('2MASS J20575409-0252302', 'https://s3.amazonaws.com/bdnyc/2057-0252.txt', None, '$BDNYC_spectra/IRS/2057-0252.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-05-25 01:56:38.317000', None, 'PID3136', None)\n", + "('LP 440-52', 'https://s3.amazonaws.com/bdnyc/IRS/LHS377.txt', None, '$BDNYC_spectra/IRS/LHS377.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-07-01 00:00:00.000000', None, 'PID251', None)\n", + "('2MASS J12373919+6526148', 'https://s3.amazonaws.com/bdnyc/IRS/1237%2B6526.txt', None, '$BDNYC_spectra/IRS/1237+6526.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2004-03-03 20:10:57.708000', None, 'PID51', None)\n", + "('2MASS J12545393-0122474', 'https://s3.amazonaws.com/bdnyc/IRS/1254-0122.txt', None, '$BDNYC_spectra/IRS/1254-0122.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2004-02-04 05:31:36.427000', None, 'PID51', None)\n", + "('2MASS J22443167+2043433', 'https://s3.amazonaws.com/bdnyc/IRS/2244%2B2043.txt', None, '$BDNYC_spectra/IRS/2244+2043.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-12-10 00:00:00.000000', None, 'PID3431', None)\n", + "('2MASS J21321145+1341584', 'https://s3.amazonaws.com/bdnyc/IRS/2132%2B1341.txt', None, '$BDNYC_spectra/IRS/2132+1341.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2009-01-04 20:43:03.250000', None, 'PID50367', None)\n", + "('2MASS J05233822-1403022', 'https://s3.amazonaws.com/bdnyc/0523-1403.txt', None, '$BDNYC_spectra/IRS/0523-1403.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-03-12 05:05:00.500000', None, 'PID3136', None)\n", + "('2MASS J15031961+2525196', 'https://s3.amazonaws.com/bdnyc/IRS/1503%2B2525.txt', None, '$BDNYC_spectra/IRS/1503+2525.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-07-06 04:45:47.084000', None, 'PID51', None)\n", + "('2MASS J00043484-4044058', 'https://s3.amazonaws.com/bdnyc/LHS102B.txt', None, '$BDNYC_spectra/IRS/LHS102B.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2003-12-16 05:46:48.727000', None, 'PID51', None)\n", + "('TWA 28', 'https://s3.amazonaws.com/bdnyc/1102-3430%20(5-35um).txt', None, '$BDNYC_spectra/IRS/1102-3430 (5-35um).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2006-07-03 00:00:00.000000', None, 'PID30540', None)\n", + "('2MASS J11101001+0116130', 'https://s3.amazonaws.com/bdnyc/IRS/1110%2B0116.txt', None, '$BDNYC_spectra/IRS/1110+0116.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-05-23 00:00:00.000000', None, 'PID3431', None)\n", + "('2MASS J08575849+5708514', 'https://s3.amazonaws.com/bdnyc/IRS/0857%2B5708.txt', None, '$BDNYC_spectra/IRS/0857+5708.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-10-23 00:00:00.000000', None, 'PID3431', None)\n", + "('2MASSI J1658037+702701', 'https://s3.amazonaws.com/bdnyc/1658%2B7027+%285-35um%29.txt', None, '$BDNYC_spectra/IRS/1658+7027 (5-35um).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-04-17 00:00:00.000000', None, 'PID51', None)\n", + "('2MASS J09393548-2448279', 'https://s3.amazonaws.com/bdnyc/0939-2448.txt', None, '$BDNYC_spectra/IRS/0939-2448.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2006-05-24 00:00:00.000000', None, 'PID20544', None)\n", + "('2MASS J09201223+3517429', 'https://s3.amazonaws.com/bdnyc/IRS/0920%2B3517.txt', None, '$BDNYC_spectra/IRS/0920+3517.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-04-19 18:32:06.358000', None, 'PID51', None)\n", + "('2MASS J16262034+3925190', 'https://s3.amazonaws.com/bdnyc/IRS/1626%2B3925%20%281%29.txt', None, '$BDNYC_spectra/IRS/1626+3925 (1).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-02-11 00:00:00.000000', 'IRS spectrum 4521 much better!', 'PID251', None)\n", + "('2MASS J16262034+3925190', 'https://s3.amazonaws.com/bdnyc/IRS/1626%2B3925%20%282%29.txt', None, '$BDNYC_spectra/IRS/1626+3925 (2).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-06-03 00:00:00.000000', None, 'PID251', None)\n", + "('2MASS J14482563+1031590', 'https://s3.amazonaws.com/bdnyc/1448%2B1031.txt', None, '$BDNYC_spectra/IRS/1448+1031.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-02-14 11:24:34.977000', None, 'PID3136', None)\n", + "('2MASS J06244595-4521548', 'https://s3.amazonaws.com/bdnyc/0624-4521.txt', None, '$BDNYC_spectra/IRS/0624-4521.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-03-20 12:13:12.604000', None, 'PID3136', None)\n", + "('2MASS J03552337+1133437', 'https://s3.amazonaws.com/bdnyc/0355%2B1133.txt', None, '$BDNYC_spectra/IRS/0355+1133.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2008-10-10 14:12:37.569000', None, 'PID50059', None)\n", + "('2MASS J07003664+3157266', 'https://s3.amazonaws.com/bdnyc/0700%2B3157.txt', None, '$BDNYC_spectra/IRS/0700+3157.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-04-21 02:13:12.660000', None, 'PID3136', None)\n", + "('2MASS J14304358+2915405', 'https://s3.amazonaws.com/bdnyc/IRS/1430%2B2915.txt', None, '$BDNYC_spectra/IRS/1430+2915.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2009-03-06 07:56:18.586000', None, 'PID50367', None)\n", + "('2MASS J09083803+5032088', 'https://s3.amazonaws.com/bdnyc/IRS/0908%2B5032.txt', None, '$BDNYC_spectra/IRS/0908+5032.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-10-23 00:00:00.000000', None, 'PID3431', None)\n", + "('TWA 27', 'https://s3.amazonaws.com/bdnyc/1207-3932.txt', None, '$BDNYC_spectra/IRS/1207-3932.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-07-09 08:16:04.711000', None, 'PID2', None)\n", + "('2MASS J02355993-2331205', 'https://s3.amazonaws.com/bdnyc/IRS/GJ1048B.txt', None, '$BDNYC_spectra/IRS/GJ1048B.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2009-01-19 21:59:42.525000', None, 'PID50367', None)\n", + "('2MASS J13054019-2541059', 'https://s3.amazonaws.com/bdnyc/IRS/kelu-1.txt', None, '$BDNYC_spectra/IRS/kelu-1.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-02-15 04:16:04.544000', None, 'PID51', None)\n", + "('2MASS J14252798-3650229', 'https://s3.amazonaws.com/bdnyc/1425-3650.txt', None, '$BDNYC_spectra/IRS/1425-3650.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-02-15 03:36:03.697000', None, 'PID3136', None)\n", + "('2MASS J13314894-0116500', 'https://s3.amazonaws.com/bdnyc/IRS/1331-0116.txt', None, '$BDNYC_spectra/IRS/1331-0116.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2006-01-28 00:00:00.000000', None, 'PID20514', None)\n", + "('2MASS J12281523-1547342', 'https://s3.amazonaws.com/bdnyc/IRS/1228-1547.txt', None, '$BDNYC_spectra/IRS/1228-1547.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2009-03-06 11:46:17.088000', None, 'PID50367', None)\n", + "('2MASS J04151954-0935066', 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt', None, '$BDNYC_spectra/IRS/0415-0935 (LL2).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-09-06 00:00:00.000000', None, 'PID3259', None)\n", + "('2MASS J04151954-0935066', 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935.txt', None, '$BDNYC_spectra/IRS/0415-0935.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-09-07 00:00:00.000000', None, 'PID3431', None)\n", + "('2MASS J11263991-5003550', 'https://s3.amazonaws.com/bdnyc/IRS/1126-5003.txt', None, '$BDNYC_spectra/IRS/1126-5003.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2009-04-05 00:00:00.000000', None, 'PID50059', None)\n", + "('2MASS J15232263+3014562', 'https://s3.amazonaws.com/bdnyc/IRS/Gl%20584C.txt', None, '$BDNYC_spectra/IRS/Gl 584C.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2004-03-03 14:13:24.242000', None, 'PID51', None)\n", + "('2MASS J00250365+4759191', 'https://s3.amazonaws.com/bdnyc/0025%2B4759.txt', None, '$BDNYC_spectra/IRS/0025+4759.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2009-03-07 23:09:41.064000', None, 'PID50367', None)\n", + "('2MASS J08251968+2115521', 'https://s3.amazonaws.com/bdnyc/IRS/0825%2B2115.txt', None, '$BDNYC_spectra/IRS/0825+2115.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2004-04-20 01:21:24.442000', None, 'PID51', None)\n", + "('2MASS J12074717+0244249', 'https://s3.amazonaws.com/bdnyc/IRS/1207%2B0244.txt', None, '$BDNYC_spectra/IRS/1207+0244.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-06-06 12:52:17.269000', None, 'PID3431', None)\n", + "('2MASS J23515044-2537367', 'https://s3.amazonaws.com/bdnyc/2351-2537.txt', None, '$BDNYC_spectra/IRS/2351-2537.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-07-05 13:25:47.928000', None, 'PID3136', None)\n", + "('TWA 26', 'https://s3.amazonaws.com/bdnyc/1139-3159+%285-35um%29.txt', None, '$BDNYC_spectra/IRS/1139-3159 (5-35um).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-07-03 00:00:00.000000', None, 'PID2', None)\n", + "('2MASS J07271824+1710012', 'https://s3.amazonaws.com/bdnyc/IRS/0727%2B1710.txt', None, '$BDNYC_spectra/IRS/0727+1710.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2006-04-18 00:00:00.000000', None, 'PID20544', None)\n", + "('2MASS J00345157+0523050', 'https://s3.amazonaws.com/bdnyc/IRS/0034%2B0523.txt', None, '$BDNYC_spectra/IRS/0034+0523.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2006-01-19 00:00:00.000000', None, 'PID20544', None)\n", + "('2MASS J10365305-3441380', 'https://s3.amazonaws.com/bdnyc/IRS/1036-3441.txt', None, '$BDNYC_spectra/IRS/1036-3441.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2006-01-23 19:26:34.143000', None, 'PID51', None)\n", + "('2MASS J17210390+3344160', 'https://s3.amazonaws.com/bdnyc/IRS/1721%2B3344.txt', None, '$BDNYC_spectra/IRS/1721+3344.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2008-08-01 00:00:00.000000', None, 'PID50059', None)\n", + "('2MASS J11145133-2618235', 'https://s3.amazonaws.com/bdnyc/IRS/1114-2618.txt', None, '$BDNYC_spectra/IRS/1114-2618.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2006-02-01 00:00:00.000000', None, 'PID20544', None)\n", + "('2MASS J10170754+1308398', 'https://s3.amazonaws.com/bdnyc/1017%2B1308.txt', None, '$BDNYC_spectra/IRS/1017+1308.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2009-01-19 18:00:15.977000', None, 'PID50367', None)\n", + "('DENIS-P J144137.2-094558', 'https://s3.amazonaws.com/bdnyc/IRS/1441-0945.txt', None, '$BDNYC_spectra/IRS/1441-0945.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2009-03-06 07:56:18.586000', None, 'PID50367', None)\n", + "('2MASS J04455387-3048204', 'https://s3.amazonaws.com/bdnyc/0445-3048.txt', None, '$BDNYC_spectra/IRS/0445-3048.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-03-14 12:24:05.373000', None, 'PID3136', None)\n", + "('2MASS J05012406-0010452', 'https://s3.amazonaws.com/bdnyc/0501-0010.txt', None, '$BDNYC_spectra/IRS/0501-0010.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2008-11-12 03:43:34.999000', None, 'PID50059', None)\n", + "('GJ 1111', 'https://s3.amazonaws.com/bdnyc/0829%2B2646+%2814-35um%29.txt', None, '$BDNYC_spectra/IRS/0829+2646 (14-35um).txt', 'mir', 'Spitzer', 'IRS', 'LL', '2006-05-18 00:00:00.000000', None, 'PID20409', None)\n", + "('2MASS J04390101-2353083', 'https://s3.amazonaws.com/bdnyc/0439-2353.txt', None, '$BDNYC_spectra/IRS/0439-2353.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-02-18 03:53:36.569000', None, 'PID3136', None)\n" + ] + } + ], + "source": [ + "spectra_pid_query = \"SELECT * FROM Spectra WHERE reference LIKE 'PID%'\"\n", + "spectra_pid_results = db.sql_query(spectra_pid_query)\n", + "\n", + "print(f\"Found {len(spectra_pid_results)} spectra with PID references in the database\")\n", + "\n", + "if spectra_pid_results:\n", + " for spectrum in spectra_pid_results: \n", + " print(spectrum)" + ] + }, + { + "cell_type": "markdown", + "id": "f77f960b", + "metadata": {}, + "source": [ + "### Using SQLAlchemy Query Functions" + ] + }, + { + "cell_type": "markdown", + "id": "c3a3234d", + "metadata": {}, + "source": [ + "#### SQL via SQLalchemy " + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "0f1277e8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "First 10 Sources (Raw SQL):\n", + "Source: 2MASS J03552014+1439297, RA: 58.83375, Dec: 14.658056\n", + "Source: 1RXS J115928.5-524717, RA: 179.864, Dec: -52.7886\n", + "Source: ULAS J114925.58-014343.2, RA: 177.3569, Dec: -1.7287\n", + "Source: DENIS-P J1756561-480509, RA: 269.2342, Dec: -48.086\n", + "Source: PSO J024.4369+09.1360, RA: 24.4372, Dec: 9.1366\n", + "Source: SDSS J161420.50+004643.6, RA: 243.585, Dec: 0.7785\n", + "Source: SDSS J094903.15+264944.2, RA: 147.2633, Dec: 26.8288\n", + "Source: SDSS J083717.21-000018.0, RA: 129.3215835, Dec: -0.004972\n", + "Source: 2MASS J06080232-2944590, RA: 92.0097, Dec: -29.7497\n", + "Source: 2MASS J09373487+2931409, RA: 144.395292, Dec: 29.528028\n", + "\n", + "Spectra from IRS instrument (first 5):\n", + "Source: SDSS J083717.21-000018.0, Telescope: Spitzer\n", + "\n", + "WISE sources with spectra (first 5):\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", + "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", + "\n", + "Top 3 references by number of sources:\n", + "Reference: Schm10.1808, Count: 208\n", + "Reference: Reid08.1290, Count: 206\n", + "Reference: West08, Count: 194\n", + "Source: 2MASS J09373487+2931409, Telescope: Spitzer\n", + "\n", + "WISE sources with spectra (first 5):\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", + "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", + "\n", + "Top 3 references by number of sources:\n", + "Reference: Schm10.1808, Count: 208\n", + "Reference: Reid08.1290, Count: 206\n", + "Reference: West08, Count: 194\n", + "Source: 2MASS J09373487+2931409, Telescope: Spitzer\n", + "\n", + "WISE sources with spectra (first 5):\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", + "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", + "\n", + "Top 3 references by number of sources:\n", + "Reference: Schm10.1808, Count: 208\n", + "Reference: Reid08.1290, Count: 206\n", + "Reference: West08, Count: 194\n", + "Source: VB 10, Telescope: Spitzer\n", + "\n", + "WISE sources with spectra (first 5):\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", + "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", + "\n", + "Top 3 references by number of sources:\n", + "Reference: Schm10.1808, Count: 208\n", + "Reference: Reid08.1290, Count: 206\n", + "Reference: West08, Count: 194\n", + "Source: VB 10, Telescope: Spitzer\n", + "\n", + "WISE sources with spectra (first 5):\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", + "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", + "\n", + "Top 3 references by number of sources:\n", + "Reference: Schm10.1808, Count: 208\n", + "Reference: Reid08.1290, Count: 206\n", + "Reference: West08, Count: 194\n" + ] + } + ], + "source": [ + "from sqlalchemy import text\n", + "\n", + "# Using connection from the existing database\n", + "with db.engine.connect() as conn:\n", + " \n", + " # Query all sources\n", + " result = conn.execute(text(\"SELECT * FROM Sources LIMIT 10\"))\n", + " print(\"First 10 Sources (Raw SQL):\")\n", + " for row in result:\n", + " print(f\"Source: {row.source}, RA: {row.ra}, Dec: {row.dec}\")\n", + "\n", + " # Find spectra with a specific instrument\n", + " result = conn.execute(\n", + " text(\"SELECT * FROM Spectra WHERE instrument = :instrument LIMIT 5\"),\n", + " {\"instrument\": \"IRS\"}\n", + " )\n", + " print(\"\\nSpectra from IRS instrument (first 5):\")\n", + " for row in result:\n", + " print(f\"Source: {row.source}, Telescope: {row.telescope}\")\n", + "\n", + " # Join query - find all spectra for sources with names containing \"WISE\"\n", + " result = conn.execute(\n", + " text(\"\"\"\n", + " SELECT Sources.source, Spectra.telescope, Spectra.instrument\n", + " FROM Sources \n", + " JOIN Spectra ON Sources.source = Spectra.source\n", + " WHERE Sources.source LIKE :pattern\n", + " LIMIT 5\n", + " \"\"\"),\n", + " {\"pattern\": \"%WISE%\"}\n", + " )\n", + " print(\"\\nWISE sources with spectra (first 5):\")\n", + " for row in result:\n", + " print(f\"Source: {row.source}, Telescope: {row.telescope}, Instrument: {row.instrument}\")\n", + " \n", + " # Aggregate query - count sources by publication reference\n", + " result = conn.execute(\n", + " text(\"\"\"\n", + " SELECT reference, COUNT(*) as count \n", + " FROM Sources \n", + " GROUP BY reference \n", + " ORDER BY count DESC\n", + " LIMIT 3\n", + " \"\"\")\n", + " )\n", + " print(\"\\nTop 3 references by number of sources:\")\n", + " for row in result:\n", + " print(f\"Reference: {row.reference}, Count: {row.count}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50296116", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "d9ab1e25", + "metadata": {}, + "source": [ + "#### SQLAlchemy ORM Query Methods" + ] + }, + { + "cell_type": "markdown", + "id": "18c9eccd", + "metadata": {}, + "source": [ + "##### What is SQLAlchemy ORM?\n", + "##### SQLAlchemy ORM (Object-Relational Mapping) is a powerful library that allows developers to interact with databases using Python objects instead of writing raw SQL queries. It provides a high-level abstraction over SQL, making it easier to work with databases in a more Pythonic way." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "3bf38191", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total number of sources: 3619\n", + "\n", + "Top 5 sources with the most spectra:\n", + "Source: 2MASS J04151954-0935066, Number of spectra: 9\n", + "Source: 2MASS J00361617+1821104, Number of spectra: 8\n", + "Source: 2MASS J03552337+1133437, Number of spectra: 8\n", + "Source: 2MASS J05395200-0059019, Number of spectra: 8\n", + "Source: 2MASS J06244595-4521548, Number of spectra: 8\n", + "\n", + "Top 5 references by number of sources:\n", + "Reference: Schm10.1808, Count: 208\n", + "Reference: Reid08.1290, Count: 206\n", + "Reference: West08, Count: 194\n", + "Reference: Cruz03, Count: 165\n", + "Reference: Maro15, Count: 113\n" + ] + } + ], + "source": [ + "# SQLAlchemy ORM methods for querying the database\n", + "from sqlalchemy.orm import sessionmaker\n", + "from sqlalchemy import func, desc\n", + "\n", + "Session = sessionmaker(bind=db.engine)\n", + "session = Session()\n", + "\n", + "# Using ORM to query all sources\n", + "all_sources = session.query(db.Sources).all()\n", + "print(f\"Total number of sources: {len(all_sources)}\") \n", + "\n", + "# Using ORM to find sources with the most spectra\n", + "most_spectra = session.query(db.Spectra.c.source, func.count(db.Spectra.c.source).label('count')).group_by(db.Spectra.c.source).order_by(desc('count')).limit(5).all()\n", + "print(\"\\nTop 5 sources with the most spectra:\")\n", + "for source in most_spectra:\n", + " print(f\"Source: {source[0]}, Number of spectra: {source[1]}\")\n", + "\n", + "# Using ORM to count sources by reference\n", + "counted_references = session.query(db.Sources.c.reference, func.count(db.Sources.c.source).label('count')).group_by(db.Sources.c.reference).order_by(desc('count')).limit(5).all()\n", + "print(\"\\nTop 5 references by number of sources:\")\n", + "for ref in counted_references:\n", + " print(f\"Reference: {ref[0]}, Count: {ref[1]}\")\n", + "\n", + "# Closing the session\n", + "session.close()\n", + "# Note: Always close the session to release resources\n" + ] + }, + { + "cell_type": "markdown", + "id": "f47b318d", + "metadata": {}, + "source": [ + "## Visualizing Spectra" + ] + }, + { + "cell_type": "markdown", + "id": "78ff2fed", + "metadata": {}, + "source": [ + "##### In the notebook VisualizingDemo.ipynb, we will go into further detail how to visualize data with SIMPLE. However for this use case, we will provide a simple method using the libraries Spectrum (Specutils) and Matplotlib for a basic tutorial.\n", + "\n", + "##### In this use case, we are looking to plot the spectra for the object with the most spectra available in SIMPLE. Using what we just learned, we can use SQL to query the database for this answer." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "5beadd28", + "metadata": {}, + "outputs": [], + "source": [ + "from specutils import Spectrum\n", + "import matplotlib.pyplot as plt\n", + "from astropy.io import fits\n", + "from matplotlib.ticker import MultipleLocator, FormatStrFormatter, AutoMinorLocator\n", + "plt.rcParams['font.family'] = 'serif'" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "036ccd2c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sources with multiple spectra:\n", + "2MASS J04151954-0935066: 9 spectra\n", + "2MASS J00361617+1821104: 8 spectra\n", + "2MASS J03552337+1133437: 8 spectra\n", + "2MASS J05395200-0059019: 8 spectra\n", + "2MASS J06244595-4521548: 8 spectra\n", + "2MASS J02550357-4700509: 7 spectra\n", + "2MASS J08251968+2115521: 7 spectra\n", + "2MASS J16241436+0029158: 7 spectra\n", + "2MASS J04234858-0414035: 6 spectra\n", + "2MASS J04390101-2353083: 6 spectra\n" + ] + } + ], + "source": [ + "# Query to find sources with multiple spectra\n", + "query = \"\"\"\n", + "SELECT source, COUNT(*) as spectra_count\n", + "FROM Spectra\n", + "GROUP BY source\n", + "HAVING COUNT(*) > 1\n", + "ORDER BY spectra_count DESC\n", + "LIMIT 10\n", + "\"\"\"\n", + "\n", + "results = db.sql_query(query)\n", + "\n", + "print(\"Sources with multiple spectra:\")\n", + "for result in results:\n", + " source_name = result[0]\n", + " count = result[1]\n", + " print(f\"{source_name}: {count} spectra\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "50538ef7", + "metadata": {}, + "source": [ + "##### Great! We see that the object '2MASS J04151954-0935066' has the most spectra with 9 total spectra files associated with it. Let look further into this object to pull that data." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "4cbcdb74", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 9 spectra matching the query.\n", + "('2MASS J04151954-0935066', 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt', None, '$BDNYC_spectra/IRS/0415-0935 (LL2).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-09-06 00:00:00.000000', None, 'PID3259', None)\n", + "('2MASS J04151954-0935066', 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935.txt', None, '$BDNYC_spectra/IRS/0415-0935.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-09-07 00:00:00.000000', None, 'PID3431', None)\n", + "('2MASS J04151954-0935066', 'https://bdnyc.s3.amazonaws.com/IRS/2MASS+J04151954-0935066.fits', 'https://bdnyc.s3.amazonaws.com/IRS/0415-0935_IRS_spectrum.dat', None, 'mir', 'Spitzer', 'IRS', 'SL', '2005-09-06 00:00:00.000000', 'SL2,SL1, There are multiple observation dates', 'Suar22', None)\n", + "('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits', None, None, 'nir', 'Magellan I Baade', 'FIRE', 'Echelle', '2010-09-20 00:00:00.000000', None, 'Alej25', None)\n", + "('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits', None, None, 'nir', 'JWST', 'NIRSpec', 'F290LP.G395H', '2022-10-16 00:00:00.000000', None, 'Alej25', None)\n", + "('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits', None, None, 'nir', 'AKARI', 'IRC', 'IRC04', '2007-08-23 00:00:00.000000', None, 'Sora12', None)\n", + "('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits', 'https://s3.amazonaws.com/bdnyc/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', '$BDNYC_spectra/SpeX/Prism/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'nir', 'IRTF', 'SpeX', 'Prism', '2003-09-17 00:00:00.000000', None, 'Burg04.2856', None)\n", + "('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASSJ04151954-0935066_T8_LRIS_Burg03.fits', None, None, 'optical', 'Keck I', 'LRIS', 'Missing', '2001-02-20 00:00:00.000000', None, 'Burg03.510', None)\n", + "('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASS_J04151954-0935066_2006-12-26.fits', None, None, 'optical', 'Keck I', 'LRIS', 'Missing', '2006-12-26 00:00:00.000000', None, 'Kirk08', None)\n" + ] + } + ], + "source": [ + "spectra_query = \"SELECT * FROM Spectra WHERE Source LIKE '%2MASS J0415%'\"\n", + "spectra_results = db.sql_query(spectra_query)\n", + "\n", + "print(f\"Found {len(spectra_results)} spectra matching the query.\")\n", + "\n", + "if spectra_results:\n", + " for spectrum in spectra_results: \n", + " print(spectrum)" + ] + }, + { + "cell_type": "markdown", + "id": "241e66cf", + "metadata": {}, + "source": [ + "##### We see that are several spectra from different instruments associated with 2MASS J0415, so lets narrow down to only a couple. Lets look at only those in the near infared which can be done by only selecting those with 'nir' as a key." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "48d4f657", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[('2MASS J04151954-0935066', 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt', None, '$BDNYC_spectra/IRS/0415-0935 (LL2).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-09-06 00:00:00.000000', None, 'PID3259', None), ('2MASS J04151954-0935066', 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935.txt', None, '$BDNYC_spectra/IRS/0415-0935.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-09-07 00:00:00.000000', None, 'PID3431', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.amazonaws.com/IRS/2MASS+J04151954-0935066.fits', 'https://bdnyc.s3.amazonaws.com/IRS/0415-0935_IRS_spectrum.dat', None, 'mir', 'Spitzer', 'IRS', 'SL', '2005-09-06 00:00:00.000000', 'SL2,SL1, There are multiple observation dates', 'Suar22', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits', None, None, 'nir', 'Magellan I Baade', 'FIRE', 'Echelle', '2010-09-20 00:00:00.000000', None, 'Alej25', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits', None, None, 'nir', 'JWST', 'NIRSpec', 'F290LP.G395H', '2022-10-16 00:00:00.000000', None, 'Alej25', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits', None, None, 'nir', 'AKARI', 'IRC', 'IRC04', '2007-08-23 00:00:00.000000', None, 'Sora12', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits', 'https://s3.amazonaws.com/bdnyc/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', '$BDNYC_spectra/SpeX/Prism/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'nir', 'IRTF', 'SpeX', 'Prism', '2003-09-17 00:00:00.000000', None, 'Burg04.2856', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASSJ04151954-0935066_T8_LRIS_Burg03.fits', None, None, 'optical', 'Keck I', 'LRIS', 'Missing', '2001-02-20 00:00:00.000000', None, 'Burg03.510', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASS_J04151954-0935066_2006-12-26.fits', None, None, 'optical', 'Keck I', 'LRIS', 'Missing', '2006-12-26 00:00:00.000000', None, 'Kirk08', None)]\n", + "Total spectra for 2MASS J04151954-0935066: 9\n", + "Found 4 NIR spectra\n", + "1. FIRE_0415-0935.fits - Instrument: FIRE, Reference: Alej25\n", + "2. jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits - Instrument: NIRSpec, Reference: Alej25\n", + "3. AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits - Instrument: IRC, Reference: Sora12\n", + "4. IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits - Instrument: SpeX, Reference: Burg04.2856\n", + "[('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits', None, None, 'nir', 'Magellan I Baade', 'FIRE', 'Echelle', '2010-09-20 00:00:00.000000', None, 'Alej25', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits', None, None, 'nir', 'JWST', 'NIRSpec', 'F290LP.G395H', '2022-10-16 00:00:00.000000', None, 'Alej25', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits', None, None, 'nir', 'AKARI', 'IRC', 'IRC04', '2007-08-23 00:00:00.000000', None, 'Sora12', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits', 'https://s3.amazonaws.com/bdnyc/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', '$BDNYC_spectra/SpeX/Prism/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'nir', 'IRTF', 'SpeX', 'Prism', '2003-09-17 00:00:00.000000', None, 'Burg04.2856', None)]\n" + ] + } + ], + "source": [ + "print(spectra_results)\n", + "\n", + "print(f\"Total spectra for {source_name}: {len(spectra_results)}\")\n", + "\n", + "# Filter only the NIR spectra\n", + "nir_spectra = []\n", + "\n", + "for spec in spectra_results:\n", + " # Check regime field (index 4) for 'nir' value\n", + " if spec[4] and 'nir' in spec[4].lower():\n", + " nir_spectra.append(spec)\n", + "\n", + "print(f\"Found {len(nir_spectra)} NIR spectra\")\n", + "\n", + "for i, spec in enumerate(nir_spectra):\n", + " instrument = spec[6]\n", + " reference = spec[10] \n", + " url = spec[1].split('/')[-1] \n", + " print(f\"{i+1}. {url} - Instrument: {instrument}, Reference: {reference}\")\n", + "\n", + "print(nir_spectra)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b2c0657", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits... \n", + " Units for wavelength: um, Units for flux: erg / (Angstrom s cm2)\n", + "Loading https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits... \n", + " Units for wavelength: um, Units for flux: Jy\n", + "Loading https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits... \n", + " Units for wavelength: um, Units for flux: W / (um m2)\n", + "Loading https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits... \n", + " Units for wavelength: um, Units for flux: erg / (Angstrom s cm2)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from specutils import Spectrum1D\n", + "import numpy as np\n", + "from matplotlib.ticker import AutoMinorLocator\n", + "import matplotlib.pyplot as plt\n", + "import astropy.units as u\n", + "\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "# Loop through the NIR spectra \n", + "for i, spec_data in enumerate(nir_spectra):\n", + " try:\n", + " # Extract data\n", + " url = spec_data[1]\n", + " instrument = spec_data[6] if spec_data[6] else \"Unknown\"\n", + " reference = spec_data[10] if spec_data[10] else \"Unknown\"\n", + " \n", + " # Load the spectrum\n", + " spec = Spectrum1D.read(url, format = 'tabular-fits')\n", + " \n", + " # Get wavelength and flux with units\n", + " wavelength = spec.spectral_axis\n", + " flux = spec.flux\n", + " \n", + " print(f\"Loading {url}... \\n Units for wavelength: {wavelength.unit}, Units for flux: {flux.unit}\")\n", + " \n", + " # Plot with distinct color and style for each spectrum\n", + " ax.plot(wavelength, flux, \n", + " label=f\"{instrument} ({reference})\",\n", + " alpha=0.8,\n", + " linewidth=1.5)\n", + " \n", + " except Exception as e:\n", + " print(f\"Failed to load or plot spectrum: {url}\")\n", + " print(f\"Error: {str(e)}\")\n", + "\n", + "# Plot configuration\n", + "ax.set_xlabel(\"Wavelength (μm)\")\n", + "ax.set_ylabel(\"Flux\")\n", + "\n", + "ax.xaxis.set_minor_locator(AutoMinorLocator())\n", + "ax.yaxis.set_minor_locator(AutoMinorLocator())\n", + "ax.grid(True, which='major', color='gainsboro', linewidth=0.5)\n", + "ax.grid(True, which='minor', color='gainsboro', linewidth=0.3, alpha=0.5)\n", + "\n", + "ax.set_yscale('log')\n", + "\n", + "ax.set_title(f\"NIR Spectra for {source_name}\", fontsize=14)\n", + "ax.legend(loc='best', fontsize='small')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "dfe8dcf7", + "metadata": {}, + "source": [ + "##### Notice how in our print statements it points out that some of our spectra has different units for Flux? Lets correct that and plot again. The most common of these four is erg / (Angstrom s cm2). I am also going to not include SpeX data as it's units are incorrect." + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "8ad29bda", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits... \n", + " Units for wavelength: um, Units for flux: erg / (Angstrom s cm2)\n", + "Changed Units for wavelength: um, Units for flux: erg / (Angstrom s cm2) \n", + "\n", + "Loading https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits... \n", + " Units for wavelength: um, Units for flux: Jy\n", + "Changed Units for wavelength: um, Units for flux: erg / (Angstrom s cm2) \n", + "\n", + "Loading https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits... \n", + " Units for wavelength: um, Units for flux: W / (um m2)\n", + "Changed Units for wavelength: um, Units for flux: erg / (Angstrom s cm2) \n", + "\n", + "Loading https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits... \n", + " Units for wavelength: um, Units for flux: erg / (Angstrom s cm2)\n", + "Changed Units for wavelength: um, Units for flux: erg / (Angstrom s cm2) \n", + "\n", + "Skipping SpeX spectrum due to unit issues: https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import astropy.constants as const\n", + "\n", + "\n", + "# Loop through each NIR spectrum and load it\n", + "for i, spec_data in enumerate(nir_spectra):\n", + " try:\n", + " # Extract data\n", + " url = spec_data[1]\n", + " instrument = spec_data[6] \n", + " reference = spec_data[10]\n", + " \n", + " # Load the spectrum\n", + " spec = Spectrum1D.read(url, format='tabular-fits')\n", + " \n", + " # Get wavelength and flux with units\n", + " wavelength = spec.spectral_axis\n", + " flux = spec.flux\n", + " \n", + " print(f\"Loading {url}... \\n Units for wavelength: {wavelength.unit}, Units for flux: {flux.unit}\")\n", + " \n", + " target_unit = u.erg / (u.s * u.cm**2 * u.AA)\n", + "\n", + " if not flux.unit.is_equivalent(target_unit):\n", + " if flux.unit == u.Jy:\n", + " lam = wavelength.to(u.AA) \n", + " fnu = flux.to(u.erg / u.s / u.cm**2 / u.Hz) \n", + " flux = fnu * (const.c.to(u.AA/u.s) / lam**2) \n", + " flux = flux.to(target_unit)\n", + "\n", + " elif flux.unit == u.W / (u.um * u.m**2):\n", + " flux = flux.to(target_unit)\n", + "\n", + " flux = flux.to(target_unit) # Safety conversion in case of other units\n", + "\n", + " \n", + " print(f\"Changed Units for wavelength: {wavelength.unit}, Units for flux: {flux.unit} \\n\")\n", + " \n", + " if i == 0:\n", + " plt.figure(figsize=(12, 8))\n", + " ax = plt.gca()\n", + " reference_flux = flux\n", + " \n", + " # Plot each spectrum with a unique color and label\n", + " if instrument == \"SpeX\":\n", + " print(f\"Skipping SpeX spectrum due to unit issues: {url}\")\n", + " else:\n", + " plt.plot(wavelength, flux, label=f\"{instrument} ({reference})\", alpha=0.8, linewidth=1.5)\n", + " \n", + " except Exception as e:\n", + " print(f\"Failed to load or plot spectrum: {url}\")\n", + " print(f\"Error: {str(e)}\")\n", + "\n", + "# Plot configuration\n", + "plt.xlabel(\"Wavelength (μm)\")\n", + "plt.ylabel(\"Flux (erg / Å s cm²)\")\n", + "plt.title(f\"NIR Spectra of {source_name}\", fontsize=14)\n", + "plt.grid(True, color='lightgray', linestyle='-', linewidth=0.5, alpha=0.5)\n", + "plt.legend(loc='upper right')\n", + "\n", + "plt.yscale('log')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "39263d33", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "simple-db", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/VisualizingDemo.ipynb b/VisualizingDemo.ipynb new file mode 100644 index 000000000..0ae87c33a --- /dev/null +++ b/VisualizingDemo.ipynb @@ -0,0 +1,131 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "7f0252a2", + "metadata": {}, + "source": [ + "# Visualizing Spectra with SIMPLE " + ] + }, + { + "cell_type": "markdown", + "id": "1fba3339", + "metadata": {}, + "source": [ + "### Brief Overview of Querying SIMPLE" + ] + }, + { + "cell_type": "markdown", + "id": "1f81a665", + "metadata": {}, + "source": [ + "##### To better understand querying, we recommend you run through the QueryDemo.ipynb notebook before you begin here. Once you feel ready regarding querying, come back here for some fun with visualization. " + ] + }, + { + "cell_type": "markdown", + "id": "dc4378d7", + "metadata": {}, + "source": [ + "##### In this notebook, we will mostly use the AstroDBUtils package to query the database. Find more information on this package here: https://astrodbkit.readthedocs.io/en/latest/#exploring-the-schema" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "80b0998f", + "metadata": {}, + "outputs": [], + "source": [ + "import astropy.units as u\n", + "import numpy as np\n", + "from specutils import Spectrum\n", + "import matplotlib.pyplot as plt\n", + "from astropy.io import fits\n", + "from matplotlib.ticker import MultipleLocator, FormatStrFormatter, AutoMinorLocator\n", + "plt.rcParams['font.family'] = 'serif'\n", + "from sqlalchemy import and_, or_" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bf58d6a0", + "metadata": {}, + "outputs": [], + "source": [ + "# Load in the database\n", + "from astrodb_utils import load_astrodb\n", + "from simple import REFERENCE_TABLES\n", + "\n", + "SCHEMA_PATH = \"simple/schema.yaml\" \n", + "db = load_astrodb(\n", + " \"SIMPLE.sqlite\", \n", + " recreatedb=True, \n", + " reference_tables=REFERENCE_TABLES, \n", + " felis_schema=SCHEMA_PATH\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b45dd3a7", + "metadata": {}, + "outputs": [], + "source": [ + "# " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5cb40fb9", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "25e1a4a3", + "metadata": {}, + "outputs": [], + "source": [ + "#load in relevant packages\n", + "\n", + "#build template plot\n", + "\n", + "#plot example spectra\n", + "\n", + "#plot multiple spectra from one source\n", + "\n", + "#plot multiple spectra from multiple sources\n", + "\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "simple-db", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From c46cadb96a88741137379ef302fb62f5fd2651ba Mon Sep 17 00:00:00 2001 From: canavarrete01 <100876091+canavarrete01@users.noreply.github.com> Date: Fri, 22 Aug 2025 16:23:55 -0400 Subject: [PATCH 02/11] Edits to QueryDemo.ipynb --- QueryDemo.ipynb | 2626 +++++------------------------------------------ 1 file changed, 258 insertions(+), 2368 deletions(-) diff --git a/QueryDemo.ipynb b/QueryDemo.ipynb index 57b55484c..b8876589b 100644 --- a/QueryDemo.ipynb +++ b/QueryDemo.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "id": "f244041f", "metadata": {}, "outputs": [ @@ -26,7 +26,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 3619/3619 [14:19<00:00, 4.21it/s]\n" + "100%|██████████| 3619/3619 [00:20<00:00, 173.50it/s]\n" ] } ], @@ -70,7 +70,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "id": "73179c36", "metadata": {}, "outputs": [], @@ -91,7 +91,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "id": "b4fc7b20", "metadata": {}, "outputs": [ @@ -140,1023 +140,53 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "id": "0aaadc2c", "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
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SDSS J083717.21-000018.0129.3215835-0.004972NoneNone0837-0000Legg00NoneNone
2MASS J06080232-294459092.0097-29.7497None2000NoneCruz03NoneNone
2MASS J09373487+2931409144.39529229.528028NoneNone0937+2931Burg02.421NoneNone
" + ], "text/plain": [ - "[('2MASS J03552014+1439297', 58.83375, 14.658056, None, None, None, 'Cruz07', None, None),\n", - " ('1RXS J115928.5-524717', 179.864, -52.7886, None, '2000', None, 'Hamb04.265', None, None),\n", - " ('ULAS J114925.58-014343.2', 177.3569, -1.7287, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('DENIS-P J1756561-480509', 269.2342, -48.086, None, '2000', None, 'Phan08', None, None),\n", - " ('PSO J024.4369+09.1360', 24.4372, 9.1366, None, '2000', None, 'Skrz16', None, 'Best20 lists discovery as Skrz16; Best20a'),\n", - " ('SDSS J161420.50+004643.6', 243.585, 0.7785, None, '2000', None, 'Hawl02', None, None),\n", - " ('SDSS J094903.15+264944.2', 147.2633, 26.8288, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('SDSS J083717.21-000018.0', 129.3215835, -0.004972, None, None, '0837-0000', 'Legg00', None, None),\n", - " ('2MASS J06080232-2944590', 92.0097, -29.7497, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J09373487+2931409', 144.395292, 29.528028, None, None, '0937+2931', 'Burg02.421', None, None),\n", - " ('ULAS J133943.79+010436.4', 204.9326, 1.0768, None, '2000', None, 'Burn13', None, None),\n", - " ('2MASS J21481326-6323265', 327.0553, -63.3908, None, '2000', None, 'Maro13', None, None),\n", - " ('CWISEP J230158.30-645858.3', 345.4929166666666, -64.98286111111112, None, None, None, 'Meis20.74', None, None),\n", - " ('HIP 6407B', 20.5707, 3.5232, None, '2000', None, 'Deac14.119', None, None),\n", - " ('WISE J200403.17-263751.7', 301.013, -26.6293, None, '2000', None, 'Thom13', None, None),\n", - " ('VB 10', 289.2400917, 5.15060556, None, None, '1916+0508', 'vanB61', None, None),\n", - " ('2MASS J02495639-0557352', 42.485, -5.9598, None, '2000', None, 'Shko17', None, None),\n", - " ('IRAC J142950.8+333011', 217.4619, 33.5033, None, '2000', None, 'Ster07', None, None),\n", - " ('HIP 115819B', 351.9561, 4.8495, None, '2000', None, 'Deac14.119', None, None),\n", - " ('2MASS J15531993+1400337', 238.3327, 14.0094, None, '2000', None, 'Gizi00', None, None),\n", - " ('2MASS J11260310+4819256', 171.5128, 48.3239, None, '2000', None, 'Kell15', None, None),\n", - " ('LHS 1937', 115.27833, 17.645833, None, None, None, 'Luyt79.5', None, None),\n", - " ('ULAS J095047.28+011734.3', 147.6971, 1.2925, None, '2000', None, 'Burn13', None, None),\n", - " ('2MASS J07511645-2530432', 117.81854, -25.512, None, None, '0751-2530', 'Phan08', None, None),\n", - " ('DENIS J2139136-352950', 324.8069, -35.4974, None, '2000', None, 'Mart10', None, None),\n", - " ('2MASSI J1029216+162652', 157.3404, 16.4477, None, '2000', None, 'Kirk00', None, None),\n", - " ('SDSS J161731.65+401859.7', 244.3819, 40.3167, None, '2000', None, 'Chiu06', None, None),\n", - " ('2MASSW J1411175+393636', 212.8225, 39.6101, None, '2000', None, 'Kirk00', None, None),\n", - " ('CFBDS J193430.36-214221.0', 293.626, -21.7059, None, '2000', None, 'Delo08.469', None, None),\n", - " ('2MASSI J0421072-630602', 65.2799583, -63.100625, None, None, None, 'Missing', None, None),\n", - " ('2MASS J10503781-4517010', 162.6575, -45.2836, None, '2000', None, 'Folk12', None, None),\n", - " ('ULAS J115229.68+035927.3', 178.1235, 3.9908, None, '2000', None, 'Scho12', None, 'Best20 lists discovery as Scho12; Burn13'),\n", - " ('PSO J135.0395+32.0845', 135.0399, 32.0846, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J12195156+3128497', 184.9648333, 31.480475, None, None, None, 'Missing', None, None),\n", - " ('WISEA J012834.87-280302.5', 22.145291666666665, -28.050694444444446, None, None, None, 'Meis20.123', None, None),\n", - " ('PSO J101.8428+39.7462', 101.8428, 39.7463, None, '2000', None, 'Best15', None, None),\n", - " ('ULAS J014103.30+131832.6', 25.2638, 13.3091, None, '2000', None, 'DayJ13', None, None),\n", - " ('WISE J235402.77+024015.0', 358.5116543, 2.6705854, None, None, '2354+0240', 'Schn15', None, None),\n", - " ('SDSS J155215.38+065041.5', 238.0641, 6.8448, None, '2000', None, 'Zhan09', None, None),\n", - " ('LP 258-28', 127.7152028, 36.2157805, None, None, None, 'Kess19', None, 'Discovery reference from the BONES archive'),\n", - " ('WISEA J001450.17-083823.4', 3.7046, -8.639, None, '2000', None, 'Kirk14', None, None),\n", - " ('CWISE J014308.73-703359.1', 25.786374999999996, -70.56641666666667, None, None, None, 'Kirk21', None, None),\n", - " ('2MASS J10554733+0808427', 163.9473, 8.1453, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('SDSS J142058.30+213156.6', 215.2434, 21.5321, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J16403561+2922225', 250.1483975, 29.3729562, None, None, None, 'Burg04.2856', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J05065012+5236338', 76.7092, 52.6087, None, None, '0506+5236', 'Best15', None, None),\n", - " ('2MASS J06420559+4101599', 100.5233, 41.032, None, None, '0642+4101', 'Best15', None, None),\n", - " ('2MASS J15382417-1953116', 234.60071, -19.886556, None, None, '1538-1953', 'Cruz18', None, None),\n", - " ('2MASS J07420130+2055198', 115.5054165, 20.922167, None, None, '0742+2055', 'Knap04', None, None),\n", - " ('SDSS J115435.31+623438.2', 178.6472, 62.5773, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J19552063-0303333', 298.83846, -3.0560278, None, None, None, 'Reid08.1290', None, None),\n", - " ('SDSS J123322.63+213805.1', 188.3441, 21.6343, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('SDSS J171147.17+233130.5', 257.9465, 23.5252, None, '2000', None, 'Chiu06', None, None),\n", - " ('PSO J154.9622+04.8279', 154.9631, 4.829, None, None, None, 'Sang23', None, None),\n", - " ('ULAS J114340.47+061358.9', 175.9189, 6.233, None, '2000', None, 'Card15', None, None),\n", - " ('2MASS J02394245-1735471', 39.9268755, -17.596417, None, None, '0239-1735', 'Cruz03', None, None),\n", - " ('ULAS J151913.03-000030.0', 229.8042, -0.0075, None, '2000', None, 'Zhan17.3040', None, None),\n", - " ('ULAS J091309.55-003136.9', 138.2897, -0.5268, None, '2000', None, 'Burn13', None, None),\n", - " ('TWA 42', 169.8856, -11.629638, None, None, '1119-1137', 'Kell15', None, None),\n", - " ('2MASS J08185804+2333522', 124.7417, 23.5643, None, '2000', None, 'Gizi00', None, None),\n", - " ('ULAS J124639.33+032314.3', 191.6643, 3.3874, None, '2000', None, 'Card15', None, None),\n", - " ('2MASS J04221413+1530525', 65.5589, 15.5145, None, '2000', None, 'Dobb02', None, None),\n", - " ('2MASS J00011217+1535355', 0.300708, 15.593194, None, None, '0001+1535', 'Knap04', None, None),\n", - " ('2MASSI J0502134+144236', 75.5561, 14.7102, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('TVLM 832-42500', 45.6457, -1.2736, None, '2000', None, 'Tinn93.279', None, None),\n", - " ('2MASS J06395596-7418446', 99.9831765, -74.312416, None, None, '0639-7418', 'Cruz07', None, None),\n", - " ('2MASS J10284580-2830374', 157.1908, -28.5104, None, '2000', None, 'Schn12.39', None, None),\n", - " ('2MASS J04300724+2608207', 67.530184, 26.139109, None, None, '0430+2608', 'Bric02', None, None),\n", - " ('WISEA J130729.56-055815.4', 196.8743, -5.9708, None, '2000', None, 'Schn16.112', None, None),\n", - " ('PZ Tel B', 283.2745, -50.1805, None, '2000', None, 'Bill10', None, None),\n", - " ('2MASS J05585729-1323313', 89.779458, -13.384778, None, None, None, 'Cruz03', None, None),\n", - " ('2MASS J20115649-6201127', 302.9852, -62.0201, None, '2000', None, 'Maro13', None, None),\n", - " ('ULAS J015144.10+134645.8', 27.9338, 13.7793, None, '2000', None, 'DayJ13', None, None),\n", - " ('SDSS J104617.02+351305.8', 161.5709, 35.2182, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J211846.77-001044.6', 319.6949, -0.1791, None, '2000', None, 'West08', None, None),\n", - " ('HR 8799c', 346.8696, 21.1343, None, '2000', None, 'Maro08', None, None),\n", - " ('ULAS J023803.12+054526.1', 39.512691, 5.757596, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('CFHT-Hy-21', 67.3452, 15.5915, None, '2000', None, 'Bouv08.661', None, None),\n", - " ('2MASS J13114227+3629235', 197.924625, 36.490333, None, None, '1311+3629', 'Kirk11', None, None),\n", - " ('2MASS J04185115+2814332', 64.713151, 28.242567, None, None, '0418+2814', 'Bric02', None, None),\n", - " ('SDSS J114144.14+411656.8', 175.4339, 41.2825, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J11550087+2307058', 178.7536245, 23.118278, None, None, '1155+2307', 'Kirk99.802', None, None),\n", - " ('2MASS J18355309-3217129', 278.9713018, -32.2868673, None, None, None, 'Kirk10', None, 'Discovery reference from the BONES archive'),\n", - " ('ULAS J020013.18+090835.2', 30.0548, 9.1434, None, '2000', None, 'Burn13', None, None),\n", - " ('S Ori 56', 84.7533, -2.3616, None, '2000', None, 'Zapa00', None, None),\n", - " ('WISE J013836.58-032221.2', 24.652458, -3.372556, None, None, '0138-0322', 'Kirk11', None, None),\n", - " ('2MASSI J0953212-101420', 148.33862, -10.239046, None, None, '0953-1014', 'Cruz07', None, None),\n", - " ('2MASS J03284265+2302051', 52.1777085, 23.03475, None, None, '0328+2302', 'Kirk00', None, None),\n", - " ('2MASS J01411479-2417311', 25.3116, -24.2921, None, '2000', None, 'Cruz03', None, None),\n", - " ('LSR J0515+5911', 78.879, 59.1882, None, '2000', None, 'Lepi02', None, None),\n", - " ('CFHT-IC 348-12', 56.0786, 32.3258, None, '2000', None, 'Alve13.123', None, None),\n", - " ('2MASS J20473176-0808201', 311.8824, -8.139, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASSW J2140293+162518', 325.1222, 16.4217, None, '2000', None, 'Gizi00', None, None),\n", - " ('RG 0050-2722', 13.2279, -27.0999, None, '2000', None, 'Reid81', None, None),\n", - " ('SDSS J130831.01+081852.3', 197.1295, 8.3145, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('VHS J125804.89-441232.4', 194.5205, -44.2091, None, '2000', None, 'Lodi12.53', None, None),\n", - " ('ULAS J094136.50+094214.2', 145.4025, 9.704, None, '2000', None, 'Maro15', None, None),\n", - " ('SDSS J000649.16-085246.3', 1.7048, -8.8795, None, '2000', None, 'West08', None, None),\n", - " ('DENIS-P J170547.4-544151', 256.4476, -54.6976, None, '2000', None, 'Phan08', None, None),\n", - " ('SDSS J173101.41+531047.9', 262.7559, 53.18, None, '2000', None, 'Chiu06', None, None),\n", - " ('2MASS J10511900+5613086', 162.82917, 56.219056, None, None, '1051+5613', 'Reid08.1290', None, None),\n", - " ('WISEP J031325.96+780744.2', 48.358167, 78.128944, None, None, '0313+7807', 'Kirk11', None, None),\n", - " ('SDSS J105151.25+131116.3', 162.9632, 13.1878, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J133345.36-021600.2', 203.4391, -2.2667, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WISE J130141.62-030212.9', 195.4235, -3.0369, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J01262109+1428057', 21.5878755, 14.46825, None, None, '0126+1428', 'Metc08', None, None),\n", - " ('2MASS J00501994-3322402', 12.583083, -33.377833, None, None, '0050-3322', 'Tinn05.2326', None, None),\n", - " ('ULAS J151355.05-013300.6', 228.4794, -1.5501, None, '2000', None, 'Maro15', None, None),\n", - " ('WISE J023318.05+303030.5', 38.3257, 30.5086, None, '2000', None, 'Mace13.6', None, None),\n", - " ('TVLM 213-2005', 155.362, 50.9181, None, None, '1021+5055', 'Tinn93.279T', None, None),\n", - " ('ULAS J225540.22+061412.9', 343.9176, 6.2369, None, '2000', None, 'Card15', None, None),\n", - " ('WISEPC J115013.88+630240.7', 177.5577, 63.0448, None, '2000', None, 'Kirk11', None, None),\n", - " ('WISE J032547.72+083118.2', 51.4485, 8.5218, None, '2000', None, 'Mace13.6', None, None),\n", - " ('WISE J234755.42+683319.4', 356.9753, 68.5554, None, '2000', None, 'Thom13', None, None),\n", - " ('2MASS J21163374-0729200', 319.1405, -7.4889, None, '2000', None, 'Geis11', None, None),\n", - " ('SDSS J120252.65-022748.4', 180.7193, -2.4634, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J17072343-0558249', 256.847625, -5.973583, None, None, '1707-0558', 'McEl06', None, None),\n", - " ('Hya02', 58.1935, 21.2091, None, '2000', None, 'Lodi14.3908', None, None),\n", - " ('WISEA J050238.28+100750.0', 75.6595, 10.130555555555556, None, None, None, 'Meis20.123', None, None),\n", - " ('WISEPA J022105.94+384202.9', 35.275, 38.7008, None, '2000', None, 'Kirk11', None, None),\n", - " ('EQ J0525+6739', 81.4013745, 67.664528, None, None, '0525+6739', 'Kirk11', None, None),\n", - " ('2MASS J08041429+0330474', 121.0596, 3.5132, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('HD 49197B', 102.3389, 43.7591, None, '2000', None, 'Metc04', None, None),\n", - " ('1RXS J034231.8+121622 B', 55.6326, 12.2729, None, '2000', None, 'Bowl15', None, None),\n", - " ('ULAS J232715.67+151729.5', 351.8155, 15.2919, None, '2000', None, 'DayJ13', None, None),\n", - " ('HD 114762B', 198.0802, 17.5171, None, None, None, 'Pati02', None, None),\n", - " ('2MASS J14211873-1618201', 215.328, -16.3057, None, '2000', None, 'Gizi02.484', None, None),\n", - " ('SDSS J113941.90-031004.2', 174.9246, -3.1678, None, '2000', None, 'West08', None, None),\n", - " ('ULAS J014811.69+140028.4', 27.0486, 14.0077, None, '2000', None, 'DayJ13', None, None),\n", - " ('PSO J186.5342+21.8364', 186.5342, 21.8365, None, '2000', None, 'Best15', None, None),\n", - " ('ULAS J122111.67+122217.0', 185.2989, 12.3715, None, '2000', None, 'Maro15', None, None),\n", - " ('SDSS J213352.72+101841.0', 323.4696, 10.3112, None, '2000', None, 'Chiu06', None, None),\n", - " ('ULAS J123433.51+010742.0', 188.6394, 1.1283, None, '2000', None, 'Maro15', None, None),\n", - " ('WISEA J233816.47-732929.7', 354.56862499999994, -73.49158333333334, None, None, None, 'Meis20.123', None, None),\n", - " ('SDSS J142257.15+082752.1', 215.7383, 8.465, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('CWISE J130446.64-120023.6', 196.1944474, -12.00636689, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - 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" ('ULAS J020604.27+054958.8', 31.5175, 5.8332, None, '2000', None, 'DayJ13', None, None),\n", - " ('ULAS J130710.22+151103.4', 196.792585, 15.184303, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('SDSS J002138.86+002605.8', 5.4119, 0.435, None, '2000', None, 'Scho09', None, None),\n", - " ('2MASS J06524851-5741376', 103.20212, -57.693778, None, None, '0652-5741', 'Reid08.1290', None, None),\n", - " ('2MASSI J0335020+234235', 53.7587, 23.7098, None, '2000', None, 'Gizi00', None, None),\n", - " ('2MASS J23433470-3646021', 355.89461, -36.767277, None, None, '2343-3646', 'Gagn15.33', None, None),\n", - " ('SDSS J150844.43+433955.5', 227.1855, 43.6654, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J07441029+5130264', 116.12621, 51.499972, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASS J13285503+2114486', 202.229292, 21.246833, None, None, '1328+2114', 'Kirk99.802', None, None),\n", - " ('CWISEP J104104.20+221613.6', 160.26749999999998, 22.270444444444443, None, None, None, 'Meis20.74', None, None),\n", - " ('2MASS J02081833+2542533', 32.076375, 25.714806, None, None, '0208+2542', 'Kirk00', None, None),\n", - " ('SDSS J093215.46+345624.8', 143.0644, 34.9403, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J23072655+8753294', 346.8634, 87.8916, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('WISEA J172907.10-753017.0', 262.2796, -75.5047, None, '2000', None, 'Tinn18', None, None),\n", - " ('2MASS J02132062+3648506C', 33.3326, 36.8104, None, '2000', None, 'Deac17.1126', None, None),\n", - " ('HIP 6217C', 19.9361, 0.1051, None, '2000', None, 'Deac14.119', None, None),\n", - " ('2MASS J03101401-2756452', 47.5583745, -27.945889, None, None, '0310-2756', 'Cruz07', None, None),\n", - " ('WISEA J221841.38+143003.4', 334.67241666666666, 14.500944444444444, None, None, None, 'Meis20.123', None, None),\n", - " ('HIP 78916B', 241.6345, 22.8927, None, '2000', None, 'Deac14.119', None, None),\n", - " ('WISE J040418.01+412735.6', 61.0753, 41.461, None, '2000', None, 'Cast13', None, None),\n", - " ('2MASS J10433508+1213149', 160.896165, 12.220806, None, None, '1043+1213', 'Kirk10', None, None),\n", - " ('2MASS J02583123-1520536', 44.630153, -15.348225, None, None, '0258-1520', 'Gagn15.33', None, None),\n", - " ('SDSS J155707.09+283531.5', 239.2795825, 28.5922409, None, None, None, 'Adel08', None, 'Discovery reference from the BONES archive'),\n", - " ('ULAS J075335.23+200622.4', 118.3969223, 20.1066599, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('SDSS J161928.31+005011.9', 244.8679, 0.8366, None, '2000', None, 'Hawl02', None, None),\n", - " ('ULAS J085139.03+005340.9', 132.9128, 0.8952, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('2MASS J15515237+0941148', 237.96821, 9.6874444, None, None, '1551+0941', 'Reid08.1290', None, None),\n", - " ('CFBDS J111807-064016', 169.5297, -6.6711, None, '2000', None, 'Reyl14', None, None),\n", - " ('SDSS J021128.25+141003.8', 32.8677, 14.1677, None, '2000', None, 'Hawl02', None, None),\n", - " ('CWISE J212342.88+655615.6', 320.9286959, 65.9376939, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J14090310-3357565', 212.2629165, -33.965694, None, None, '1409-3357', 'Kirk08', None, None),\n", - " ('SDSS J161349.44+134608.6', 243.4561, 13.769, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('ULAS J013117.53-003128.6', 22.8232, -0.5247, None, '2000', None, 'Chiu08', None, None),\n", - " ('2MASS J01231125-6921379', 20.796894, -69.36055, None, None, '0123-6921', 'Cruz07', None, None),\n", - " ('CFBDS J003402-005205', 8.5115417, -0.86835194, None, None, '0034-0052', 'Warr07.1400', None, None),\n", - " ('ULAS J024557.88+065359.4', 41.4911, 6.8998, None, '2000', None, 'Burn13', None, None),\n", - " ('SDSS J075004.93+330618.0', 117.5202, 33.1048, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J00310928+5749364', 7.7921, 57.8267, None, None, '0031+5749', 'Best15', None, None),\n", - " ('[LDC2013] J160918.68-222923.9', 242.32787, -22.48992, None, None, '1609-2229', 'Lodi07.372', None, None),\n", - " ('ULAS J223302.03+062030.8', 338.258498, 6.341901, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('CWISEP J235644.78-481456.3', 359.18658333333326, -48.24897222222222, None, None, None, 'Meis20.74', None, None),\n", - " ('2MASS J20025073-0521524', 300.711375, -5.364556, None, None, '2002-0521', 'Cruz07', None, None),\n", - " ('SDSS J140023.12+433822.3', 210.0966, 43.6394, None, '2000', None, 'Chiu06', None, None),\n", - " ('SDSS J154508.93+355527.3', 236.2872, 35.9245, None, '2000', None, 'Chiu06', None, None),\n", - " ('2MASS J22114470+6856262', 332.9361, 68.9406, None, '2000', None, 'Kirk10', None, None),\n", - " ('SDSS J154009.36+374230.3', 235.0392, 37.7088, None, '2000', None, 'Chiu06', None, None),\n", - " ('SDSS J125550.62+170059.7', 193.9611, 17.0162, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASSI J1546271-332511', 236.6132505, -33.41975, None, None, '1546-3325', 'Burg02.421', None, None),\n", - " ('2MASS J14243909+0917104', 216.1628745, 9.286222, None, None, '1424+0917', 'Beck88', None, None),\n", - " ('2MASS J04150602+8230557', 63.7763, 82.5154, None, '2000', None, 'Kirk10', None, None),\n", - " ('EQ J1322-2340', 200.640255, -23.671417, None, None, '1322-2340', 'Kirk11', None, None),\n", - " ('SDSSp J033017.77+000047.8', 52.5738, 0.013, None, '2000', None, 'Schn02', None, None),\n", - " ('ULAS J134612.77+082503.3', 206.5533, 8.4176, None, '2000', None, 'Maro15', None, None),\n", - " ('2MASS J03274091-3148156', 51.9206, -31.8043, None, '2000', None, 'Fahe09', None, None),\n", - " ('2MASS J12191495+0810307', 184.8123102, 8.1751871, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", - " ('WISE J195500.42-254013.9', 298.7518, -25.6704, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J04532647-1751543', 73.360292, -17.865083, None, None, '0453-1751', 'Cruz03', None, None),\n", - " ('2MASS J13204159+0957506', 200.17331, 9.964056, None, None, '1320+0957', 'Reid08.1290', None, None),\n", - " ('ULAS J111929.43+002133.1', 169.8726, 0.3592, None, '2000', None, 'Maro15', None, None),\n", - " ('SDSS J154501.09+033714.3', 236.2544, 3.6206, None, '2000', None, 'West08', None, None),\n", - " ('ULAS J222958.30+010217.2', 337.493, 1.0382, None, '2000', None, 'Chiu08', None, None),\n", - " ('2MASS J10020752+1358556', 150.5312, 13.9816, None, '2000', None, 'Kell15', None, None),\n", - " ('SDSS J095415.73+500140.3', 148.5656, 50.0278, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J05301261+6253254', 82.5526, 62.89, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('SDSSp J030136.53+002057.9', 45.4022, 0.3494, None, '2000', None, 'Schn02', None, None),\n", - " ('2MASS J08072607+3213101', 121.8586, 32.2195, None, '2000', None, 'Wils03', None, None),\n", - " ('2MASSW J1615441+355900', 243.934, 35.9832, None, '2000', None, 'Kirk00', None, None),\n", - " ('2MASS J10042066+5022596', 151.08608, 50.383222, None, None, '1004+5022', 'Rebo98', None, None),\n", - " ('2MASS J02415367-1241069', 40.4736255, -12.68525, None, None, '0241-1241', 'Cruz03', None, None),\n", - " ('CT Cha B', 166.0352, -76.455, None, '2000', None, 'Schm08.311', None, None),\n", - " ('UGPS J052127.27+364048.6', 80.3643, 36.6788, None, '2000', None, 'Burn11.90', None, None),\n", - " ('SDSS J100942.68+580217.6', 152.4287, 58.0384, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J23294790-1607551', 352.44958, -16.131944, None, None, None, 'Cruz07', None, None),\n", - " ('WISE J174556.65+645933.8', 266.4861, 64.9928, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J14140586+0107102', 213.5244, 1.1195, None, '2000', None, 'Geis11', None, None),\n", - " ('SDSS J110454.25+554841.4', 166.2258, 55.8113, None, '2000', None, 'Knap04', None, None),\n", - " ('CWISE J005635.48-240401.9', 14.1478506, -24.0672083, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('ULAS J131307.47+123540.7', 198.2814, 12.5952, None, '2000', None, 'Maro15', None, None),\n", - " ('WISE J155349.98+693355.2', 238.458286, 69.56534, None, None, None, 'Meis21', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J22593244+4450284', 344.88517, 44.841228, None, None, None, 'Cruz03', None, None),\n", - " ('HIP 63506C', 195.2108, 42.2465, None, '2000', None, 'Deac14.119', None, None),\n", - " ('SDSS J143553.25+112948.6', 218.9717, 11.4967, None, '2000', None, 'Chiu06', None, None),\n", - " ('2MASS J09221952-8010399', 140.5813335, -80.17775, None, None, '0922-8010', 'Reid08.1290', None, None),\n", - " ('HIP 11161B', 35.9029, 52.6685, None, '2000', None, 'Deac14.119', None, None),\n", - " ('2MASS J05265973-5026216', 81.7488915, -50.439339, None, None, '0526-5026', 'Reid08.1290', None, None),\n", - " ('2MASS J08194602+1658539', 124.9417, 16.9816, None, '2000', None, 'Cruz03', None, None),\n", - " ('ULAS J124104.75-000531.4', 190.269796, -0.09207, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J06453153-6646120', 101.3813805, -66.77, None, None, '0645-6646', 'Kirk10', None, None),\n", - " ('SDSS J104319.44+071232.4', 160.8311, 7.209, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('USco J160723.82-221102.0', 241.8493, -22.1839, None, '2000', None, 'Lodi08', None, None),\n", - " ('WISE J114340.22+443123.8', 175.9176, 44.5233, None, '2000', None, 'Mace13.6', None, None),\n", - " ('WISEA J143422.31-083934.2', 218.5929583333333, -8.6595, None, None, None, 'Meis20.123', None, None),\n", - " ('SDSS J153223.34+261118.8', 233.097, 26.1885, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J02283305+1811097', 37.1379, 18.186, None, '2000', None, 'Cruz03', None, None),\n", - " ('WISEA J151620.39+721745.4', 229.0849583333333, 72.29594444444444, None, None, None, 'Bard20', None, None),\n", - " ('SDSS J020333.26-010812.5', 30.8887, -1.1368, None, '2000', None, 'Knap04', None, None),\n", - " ('2MASS J23231347-0244360', 350.806159, -2.743358, None, None, '2323-0244', 'Cruz07', None, None),\n", - " ('CWISE J195956.16-644318.1', 299.9840118, -64.7217168, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('CWISEP J044719.61+202158.1', 71.83170833333332, 20.36613888888889, None, None, None, 'Meis20.74', None, None),\n", - " ('WISE J045746.08-020719.2', 74.4423, -2.1222, None, '2000', None, 'Biha13', None, None),\n", - " ('SDSS J010448.46+153501.8', 16.201957, 15.58386, None, None, None, 'Zhan17', None, 'Discovery reference from the BONES archive'),\n", - " ('SDSS J102947.68+483412.2', 157.4487, 48.5701, None, '2000', None, 'Zhan09', None, None),\n", - " ('WISE J235408.36+551854.5', 358.5293715, 55.3172641, None, None, None, 'Luhm14.4', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J11463449+2230527', 176.643708, 22.514639, None, None, '1146+2230', 'Kirk99.802', None, None),\n", - " ('2MASS J10031918-0105079', 150.8298, -1.0856, None, '2000', None, 'Phan01', None, None),\n", - " ('2MASS J15104786-2818174', 227.6994, -28.3049, None, '2000', None, 'Gizi02.484', None, None),\n", - " ('WISEA J235422.31-081129.7', 358.5927, -8.1914, None, '2000', None, 'Schn17', None, None),\n", - " ('PSO J180.1475-28.6160', 180.1494, -28.6159, None, '2000', None, 'Best15', None, None),\n", - " ('SDSS J163050.01+005101.3', 247.7079, 0.8496, None, '2000', None, 'Hawl02', None, None),\n", - " ('HIP 81910B', 250.9563, -26.8109, None, '2000', None, 'Deac14.119', None, None),\n", - " ('WASP-121b', 107.6, -39.0974, 2000.0, 'J2000', None, 'McKe16', None, None),\n", - " ('SDSS J105047.16+242241.9', 162.6963975, 24.3789373, None, None, None, 'West11', None, 'Discovery reference from the BONES archive'),\n", - " ('EQ J0307+2904', 46.8565425, 29.079889, None, None, '0307+2904', 'Kirk11', None, None),\n", - " ('SDSS J143242.10+345142.7', 218.1757, 34.8619, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('ULAS J120948.38+035338.4', 182.4516, 3.8941, None, '2000', None, 'Card15', None, None),\n", - " ('WISEA J230329.45+315022.7', 345.872, 31.8392, None, '2000', None, 'Schn16.112', None, None),\n", - " ('PSO J168.1800-27.2264', 168.1802, -27.2267, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J18392917+4424386', 279.87154, 44.410556, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASS J09153413+0422045', 138.892209, 4.367917, None, None, '0915+0422', 'Reid08.1290', None, None),\n", - " ('2MASS J01244599-5745379', 21.191625, -57.760528, None, None, '0124-5745', 'Reid08.1290', None, None),\n", - " ('2MASS J01095117-0343264', 17.463219, -3.724004, None, None, '0109-0343', 'Luyt79.2', None, None),\n", - " ('SDSS J124904.38+100413.4', 192.2682337, 10.0705386, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J05253876-7426008', 81.412, -74.4335, None, '2000', None, 'Kirk10', None, None),\n", - " ('CFHT-IC 348-7', 56.048, 32.3026, None, '2000', None, 'Alve13.123', None, None),\n", - " ('LHS 234', 115.0807, -17.4128, None, '2000', None, 'Bess91.662', None, None),\n", - " ('2MASS J11123099-7653342', 168.129, -76.8928, 2000.0, 'J2000', None, 'Lope04', None, None),\n", - " ('2MASS J08491096-0721442', 132.33167, -7.3803056, None, None, None, 'Reid08.1290', None, None),\n", - " ('ULAS J152502.10+083344.0', 231.2587, 8.5624, None, '2000', None, 'Maro15', None, None),\n", - " ('SDSS J100559.85+035842.3', 151.4993, 3.9778, None, '2000', None, 'West08', None, None),\n", - " ('LSPM J1336+2541B', 204.1043, 25.6769, None, '2000', None, 'Deac14.119', None, None),\n", - " ('SDSS J105012.58+085122.6', 162.5523765, 8.8565379, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", - " ('SDSS J121440.95+631643.4', 183.6706, 63.2787, None, '2000', None, 'Chiu06', None, None),\n", - " ('ULAS J131508.42+082627.4', 198.78508, 8.4409444, None, None, '1315+0826', 'Pinf08', None, None),\n", - " ('2MASS J00110940+5149236', 2.789182, 51.823257, None, None, '0011+5149', 'Cruz18', None, None),\n", - " ('ULAS J093829.28-001112.6', 144.6225, -0.1867, None, '2000', None, 'Pinf08', None, None),\n", - " ('2MASSI J1743348+584411', 265.8953, 58.7364, None, '2000', None, 'Cruz03', None, None),\n", - " ('ULAS J132048.12+102910.6', 200.2005, 10.4861, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('ULAS J014016.91+015054.7', 25.071311, 1.8484382, None, None, None, 'Burn18', 'Skrz16', None),\n", - " ('2MASS J11524266+2438079', 178.1775, 24.6355, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J04473039-1216155', 71.8769, -12.2713, None, None, '0447-1216', 'Best15', None, None),\n", - " ('2MASS J08593854+6341355', 134.9106, 63.6932, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('2MASS J08354256-0819237', 128.927334, -8.32325, None, None, '0835-0819', 'Cruz03', None, None),\n", - " ('VVV BD001', 261.6693, -27.6333, None, '2000', None, 'Beam13', None, None),\n", - " ('2MASS J03300506+2405281', 52.5213, 24.0911, None, '2000', None, 'Luyt79.2', None, None),\n", - " ('2MASS J02052940-1159296', 31.3725, -11.991556, None, None, '0205-1159', 'Delf97', None, None),\n", - " ('WISEPA J161441.45+173936.7', 243.6728, 17.6598, None, '2000', None, 'Kirk11', None, None),\n", - " ('2MASS J13571237+1428398', 209.301675, 14.477722, None, None, '1357+1428', 'Schm10.1808', None, None),\n", - " ('2MASS J12535039-4211215', 193.45997, -42.189327, None, None, '1253-4211', 'Gagn15.73', None, None),\n", - " ('2MASS J10212570-2830427', 155.35711, -28.511879, None, None, '1021-2830', 'Gagn15.73', None, None),\n", - " ('ULAS J153256.84-012511.0', 233.237, -1.4198, None, '2000', None, 'Maro15', None, None),\n", - " ('2MASS J16471580+5632057', 251.81496, 56.535611, None, None, '1647+5632', 'Kirk11', None, None),\n", - " ('ULAS J011438.94+085420.8', 18.6623, 8.9058, None, '2000', None, 'Card15', None, None),\n", - " ('2MASS J16184503-1321297', 244.6876245, -13.35825, None, None, '1618-1321', 'Kirk08', None, None),\n", - " ('2MASS J14351706-0147115', 218.8212141, -1.7865082, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J03491511+2436226', 57.313, 24.6063, 2000.0, 'J2000', None, 'Mart98.775', None, None),\n", - " ('EQ J0410+1411', 62.727, 14.192111, None, None, '0410+1411', 'Kirk11', None, None),\n", - " ('WISE J150406.66-455223.9', 226.0277, -45.8733, None, '2000', None, 'Thom13', None, None),\n", - " ('SSSPM J2307-5009', 346.7449, -50.1497, None, '2000', None, 'Lodi05', None, None),\n", - " ('SDSS J140441.68+023550.1', 211.1737, 2.5973, None, '2000', None, 'Hawl02', None, None),\n", - " ('2MASS J14580255-7850126', 224.51137, -78.849, None, None, None, 'Reid08.1290', None, None),\n", - " ('WISEA J030119.39-231921.1', 45.33, -23.3223, None, '2000', None, 'Grec19', None, None),\n", - " ('2MASSW J1326201-272937', 201.5836, -27.4936, None, '2000', None, 'Gizi02.484', None, None),\n", - " ('SDSS J042230.66+072342.9', 65.6274, 7.3958, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WISE J064336.71-022315.4', 100.9029, -2.387, None, '2000', None, 'Mama18', None, None),\n", - " ('WISE J173421.02+502349.9', 263.5883, 50.3966, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J04584239-3002061', 74.6767, -30.035, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('SDSS J080027.57+551134.1', 120.115, 55.1929, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('SDSS J130615.20+045908.8', 196.5633202, 4.985914, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", - " ('SDSS J085836.98+271050.8', 134.6539, 27.181, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J15394442+7437273', 234.9352, 74.6243, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('CWISE J062727.34-002826.8', 96.8639415, -0.474135, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('WISEA J011639.05-165420.5', 19.1609, -16.9059, None, '2000', None, 'Schn16.112', None, None),\n", - " ('SDSS J131113.82+240105.0', 197.8071, 24.018, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('ULAS J122633.36+152106.9', 186.6394, 15.352, None, '2000', None, 'Card15', None, None),\n", - " ('ULAS J105134.32-015449.8', 162.8929, -1.9138, None, '2000', None, 'Burn13', None, None),\n", - " ('SDSS J134329.01+131226.2', 205.87, 13.2072, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('ULAS J234716.99-011009.1', 356.821, -1.1693, None, '2000', None, 'DayJ13', None, None),\n", - " ('2MASS J12465176+3148104', 191.7151, 31.803, None, '2000', None, 'Gizi00', None, None),\n", - " ('2MASS J06205212-1645415', 95.247208, -16.765472, None, None, None, 'Cruz03', None, None),\n", - " ('2MASS J02235464-5815067', 35.977667, -58.251861, None, None, '0223-5815', 'Reid08.1290', None, None),\n", - " ('CFBDS J145847.93+061402.8', 224.6996, 6.2341, None, '2000', None, 'Albe11', None, None),\n", - " ('2MASS J02281101+2537380', 37.045875, 25.627222, None, None, '0228+2537', 'Wils03', None, None),\n", - " ('Cl* Melotte 22 PPL 1', 56.421917, 23.90275, None, None, '0345+2354', 'Stauf89', None, None),\n", - " ('SDSS J080605.53+292800.8', 121.5229795, 29.4670707, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", - " ('HD 253662B', 93.4726, 15.235, None, '2000', None, 'Deac14.119', None, None),\n", - " ('SDSSp J164010.59+003721.8', 250.0435, 0.623, None, '2000', None, 'Schn02', None, None),\n", - " ('LHS 330', 187.309, 53.5517, None, '2000', None, 'Bess91.662', None, None),\n", - " ('EQ J1542+2230', 235.5583362, 22.5014686, None, None, '1542+2230', 'Mace13.6', None, None),\n", - " ('SDSS J104842.70+300650.5', 162.1774, 30.114, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('SDSS J142241.28+234011.8', 215.6721, 23.67, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WISE J212321.92-261405.1', 320.8411, -26.2347, None, '2000', None, 'Mace13.6', None, None),\n", - " ('Gl 337C', 138.0584919, 14.9956706, None, None, None, 'GaiaEDR3', 'Wils01', None),\n", - " ('SDSS J005349.11-011354.4', 13.4546, -1.2319, None, '2000', None, 'Scho09', None, None),\n", - " ('2MASS J15500845+1455180', 237.535209, 14.921667, None, None, '1550+1455', 'Cruz07', None, None),\n", - " ('2MASS J15063706+2759544', 226.65421, 27.998833, None, None, None, 'Cruz18', None, 'galaxy'),\n", - " ('CD-33 7795B', 172.98083, -34.608056, None, None, '1131-3436B', 'Lowr99', None, None),\n", - " ('ULAS J081948.09+073323.3', 124.9504, 7.5561, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('WISEA J003631.29-642735.6', 9.130374999999999, -64.4598888888889, None, None, None, 'Meis20.123', None, None),\n", - " ('EQ J2319-1844', 349.91304, -18.734528, None, None, '2319-1844', 'Kirk11', None, None),\n", - " ('2MASS J14032232+3007547', 210.8429, 30.1318, None, '2000', None, 'Gizi00', None, None),\n", - " ('ULAS J131943.77+120900.2', 199.9326, 12.1501, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('2MASS J01033203+1935361', 15.883458, 19.593361, None, None, '0103+1935', 'Kirk00', None, None),\n", - " ('Proxima Centauri', 217.4289, -62.6795, None, '2000', None, 'Inne15', None, None),\n", - " ('CWISEP J040235.55-265145.4', 60.64812499999999, -26.86261111111111, None, None, None, 'Meis20.74', None, None),\n", - " ('SDSS J012743.51+135420.9', 21.9313, 13.9058, None, '2000', None, 'Hawl02', None, None),\n", - " ('CFBDS J232620.21-025643.7', 351.584, -2.9452, None, '2000', None, 'Albe11', None, None),\n", - " ('ULAS J092608.93+020807.3', 141.5368, 2.1357, None, '2000', None, 'Card15', None, None),\n", - " ('2MASS J10224821+5825453', 155.70088, 58.42925, None, None, '1022+5825', 'Reid08.1290', None, None),\n", - " ('2MASS J16195827-2832276', 244.9927, -28.5411, None, '2000', None, 'Daws14', None, None),\n", - " ('2MASS J07222760-0540384', 110.6149995, -5.677333, None, None, '0722-0540', 'Luca10', None, None),\n", - " ('SDSS J123112.97+405027.9', 187.8042, 40.841, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J21501592-7520367', 327.5657, -75.3435, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('PSO J258.2413+06.7612', 258.2413, 6.7612, None, '2000', None, 'Best15', None, None),\n", - " ('SDSS J074656.83+251019.0', 116.7367, 25.1719, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('CWISE J015905.58+105551.5', 29.773276, 10.9309815, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('WISE J054047.00+483232.4', 85.1959, 48.5423, None, '2000', None, 'Mace13.6', None, None),\n", - " ('SDSS J161459.98+400435.1', 243.7501, 40.0763, None, '2000', None, 'Zhan09', None, None),\n", - " ('2MASS J19495702+6222440', 297.4876, 62.3789, None, '2000', None, 'Kirk10', None, None),\n", - " ('LSPM J1351+5506', 207.869115, 55.1159574, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", - " ('LHS 1901', 107.7998, 43.497, None, '2000', None, 'Reid03.3007', None, None),\n", - " ('2MASS J04294568+2630468', 67.44033400000001, 26.513002, None, None, '0429+2630', 'Bric02', None, None),\n", - " ('2MASS J02062493+2640237', 31.6052505, 26.673222, None, None, '0206+2640', 'Kirk11', None, None),\n", - " ('SDSS J074007.30+200921.9', 115.0297, 20.1559, None, '2000', None, 'Knap04', None, None),\n", - " ('CWISE J224452.18-362946.0', 341.2174357, -36.4961287, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('HIP 51877B', 158.9781, 36.9283, None, '2000', None, 'Deac14.119', None, None),\n", - " ('54 Psc B', 9.829614, 21.254559, None, None, '0039+2115', 'Mugr06', None, None),\n", - " ('2MASS J15462597+0317547', 236.60821, 3.298536, None, None, None, 'Reid08.1290', None, None),\n", - " ('USco J160714.79-232101.2', 241.8116, -23.3504, None, '2000', None, 'Lodi08', None, None),\n", - " ('2MASS J06195260-2903592', 94.9692, -29.0664, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J06020638+4043588', 90.5265825, 40.733025, None, None, '0602+4043', 'Loop07.1162', None, None),\n", - " ('2MASS J14573965+4517167', 224.4151, 45.288, None, '2000', None, 'Gizi00', None, None),\n", - " ('2MASS J22351658-3844154', 338.819118, -38.737617, None, None, '2235-3844', 'Gagn15.33', None, None),\n", - " ('PSO J255.0913+10.3263', 255.0914, 10.3264, None, None, None, 'Sang23', None, None),\n", - " ('2MASS J16272794+8105075', 246.8661, 81.0855, None, '2000', None, 'Gizi00', None, None),\n", - " ('CWISE J095259.54-505418.9', 148.2480941, -50.905256, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J16141557+8211327', 243.56458, 82.192222, None, None, None, 'Cruz03', None, None),\n", - " ('SDSS J145058.89+584116.5', 222.7454, 58.688, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J10452400-0149576', 161.3500005, -1.832667, None, None, '1045-0149', 'Gizi02.484', None, None),\n", - " ('2MASS J07394386+1305070', 114.9327, 13.0852, None, '2000', None, 'Lepi02', None, None),\n", - " ('ULAS J032122.98+005105.2', 50.3458, 0.8514, None, '2000', None, 'Mats11.64', None, None),\n", - " ('2MASS J04355143+2249119', 68.964299, 22.819986, None, None, '0435+2249', 'Bric02', None, None),\n", - " ('WISEPC J032337.53-602554.9', 50.9066, -60.4318, None, '2000', None, 'Kirk11', None, None),\n", - " ('2MASS J15422494+5522451', 235.6039, 55.3792, None, '2000', None, 'Geis11', None, None),\n", - " ('FU Tau B', 65.8989, 25.0499, None, '2000', None, 'Luhm09', None, None),\n", - " ('2MASS J21340795+7132312', 323.5336202, 71.5421521, None, None, None, 'Kirk16', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J02532028+2713332', 43.334525, 27.225903, None, None, '0253+2713', 'Gizi00', None, None),\n", - " ('WISE J103658.89+033620.4', 159.2453996, 3.6065518, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J12594167+1001380', 194.9237, 10.0274, None, '2000', None, 'Baro15', None, None),\n", - " ('G 259-20B', 265.7852, 85.4499, None, '2000', None, 'Luhm12.152', None, None),\n", - " ('2MASS J15124058+3403501', 228.169455, 34.063917000000004, None, None, '1512+3403', 'Schm10.1808', None, None),\n", - " ('SDSS J092201.37+224935.1', 140.5058, 22.8265, None, '2000', None, 'West11', None, None),\n", - " ('SDSS J105012.49+005803.3', 162.5516, 0.9674, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J02212859-6831400', 35.369125, -68.527778, None, None, '0221-6831', 'Reid08.1290', None, None),\n", - " ('SDSS J103309.11+121626.0', 158.2878, 12.274, None, '2000', None, 'West08', None, None),\n", - " ('ULAS J000734.90+011247.1', 1.8957, 1.2132, None, '2000', None, 'Burn13', None, None),\n", - " ('ULAS J103131.49+123736.4', 157.8811199, 12.6267923, 2015.4041, 'ICRS', None, 'Skrz16', '\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00', '\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00'),\n", - " ('ULAS J084211.68+093611.9', 130.549, 9.6033, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('WISEPC J232519.54-410534.9', 351.3315, -41.0931, None, '2000', None, 'Kirk11', None, None),\n", - " ('2MASS J12270506-0447207', 186.771, -4.7891, None, '2000', None, 'Burg07.494', None, None),\n", - " ('2MASS J22153705+2110554', 333.9045, 21.1821, None, '2000', None, 'Kell15', None, None),\n", - " ('ULAS J074720.07+245516.3', 116.8339, 24.9214, None, '2000', None, 'Burn13', None, None),\n", - " ('ULAS J113151.32-003620.8', 172.9638, -0.6059, None, '2000', None, 'Maro15', None, None),\n", - " ('PSO J133.8302+06.0160', 133.8301, 6.0159, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J22244381-0158521', 336.182541, -1.981139, None, None, '2224-0158', 'Kirk00', None, None),\n", - " ('2MASS J08503941-0221528', 132.6641425, -2.3646949, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", - " ('SDSS J134525.57+521634.0', 206.3566, 52.2761, None, '2000', None, 'Chiu06', None, None),\n", - " ('WISEP J235941.07-733504.8', 359.9213, -73.5847, None, '2000', None, 'Kirk11', None, None),\n", - " ('S Ori 60', 84.9063, -2.5116, None, '2000', None, 'Zapa00', None, None),\n", - " ('SDSS J105355.39+385737.5', 163.4807, 38.9602, None, '2000', None, 'West08', None, None),\n", - " ('ULAS J090521.61+100654.9', 136.3401, 10.1156, None, '2000', None, 'Maro15', None, None),\n", - " ('WISE J230133.32+021635.0', 345.3891, 2.2768, None, '2000', None, 'Mace13.6', None, None),\n", - " ('SDSS J082928.21+343954.0', 127.3674, 34.6648, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WISE J071301.84-585445.1', 108.2578, -58.9126, None, '2000', None, 'Tinn18', None, None),\n", - " ('CWISE J000021.45-481314.9', 0.0893808, -48.2208077, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J05575096-1359503', 89.462359, -13.997312, None, None, '0557-1359', 'Cruz07', None, None),\n", - " ('SDSS J081814.38+245337.4', 124.5599, 24.894, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J08320822-7031003', 128.03425, -70.51675, None, None, None, 'Reid08.1290', None, None),\n", - " ('ULAS J082155.49+250939.6', 125.4811, 25.161, None, '2000', None, 'Burn13', None, None),\n", - " ('WISEA J232219.45-140726.2', 350.5799, -14.1233, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('2MASS J00345684-0706013', 8.7368333, -7.1003611, None, None, '0034-0706', 'Kend03', None, None),\n", - " ('2MASS J21495655+0603349', 327.4857, 6.0597, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('ULAS J020543.26+084340.2', 31.4294, 8.7279, None, '2000', None, 'Card15', None, None),\n", - " ('SDSS J104842.81+011158.2', 162.1783755, 1.199444, None, None, '1048+0111', 'Hawl02', None, None),\n", - " ('WISEA J064223.48+042343.1', 100.5979, 4.3953, None, '2000', None, 'Mart18', None, None),\n", - " ('2MASSI J2057153+171515', 314.3144, 17.2545, None, '2000', None, 'Kirk00', None, None),\n", - " ('WISEA J212510.91-730758.8', 321.2954583333333, -73.133, None, None, None, 'Meis20.123', None, None),\n", - " ('WISEA J210529.08-623558.7', 316.3713, -62.5998, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('Usco J161031.9-191305B', 242.6347, -19.219, None, '2000', None, 'Krau09.1511', None, 'Best20 lists discovery as Krau09a; Alle13b'),\n", - " ('2MASS J15591135-2338002', 239.797, -23.6334, 2000.0, 'J2000', None, 'Ardi00', None, None),\n", - " ('2MASS J20391314-1126531', 309.80475, -11.44811, None, None, '2039-1126', 'Cruz03', None, None),\n", - " ('2MASS J13392651-1755053', 204.8605, -17.9182, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASSI J0028394+150141', 7.1643, 15.0282, None, '2000', None, 'Kirk00', None, None),\n", - " ('BRB 29', 58.506, 23.8326, None, '2000', None, 'Biha10', None, None),\n", - " ('CWISE J055909.00-384219.8', 89.787502, -38.7055027, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('ULAS J012735.66+153905.9', 21.8987, 15.6516, None, '2000', None, 'Burn13', None, None),\n", - " ('WASP-33b', 36.7127, 37.5505, 2000.0, 'J2000', None, 'Nari10', None, None),\n", - " ('2MASS J16490419+0444571', 252.2675, 4.7492, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('2MASS J03333313-3215181', 53.3881, -32.2551, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('2MASS J01215250-6855187', 20.468786, -68.921867, None, None, None, 'Cruz07', None, None),\n", - " ('ULAS J121226.80+101007.4', 183.1133, 10.1695, None, '2000', None, 'Burn13', None, None),\n", - " ('2MASS J18432213+4040209', 280.84222, 40.672493, None, None, '1843+4040', 'Luyt79.5', None, None),\n", - " ('2MASS J17224432+6329470', 260.684667, 63.496389, None, None, '1722+6329', 'Hawl02', None, None),\n", - " ('2MASS J02304442-3027275', 37.6851, -30.4575, None, '2000', None, 'Kirk10', None, None),\n", - " ('2MASS J03320043-2317496', 53.0018, -23.2971, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('2MASS J03032042-7312300', 45.835083, -73.208333, None, None, '0303-7312', 'Kirk10', None, None),\n", - " ('2MASS J01070426+2435279', 16.7675, 24.590833, None, None, '0107+2435', 'Zhan09', None, None),\n", - " ('2MASS J09090085+6525275', 137.2535415, 65.424306, None, None, '0909+6525', 'Chiu06', None, None),\n", - " ('2MASS J16382073+1327354', 249.5854, 13.4599, None, '2000', None, 'Kirk10', None, None),\n", - " ('ULAS J134403.78+083951.0', 206.0162, 8.664, None, '2000', None, 'Maro15', None, None),\n", - " ('ULAS J231557.61+132256.2', 348.9903, 13.3821, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('2MASS J04174743-2129191', 64.4477, -21.4886, None, '2000', None, 'Cruz07', None, None),\n", - " ('PSO J143.6774-29.8356', 143.6774, -29.8354, None, '2000', None, 'Best15', None, None),\n", - " ('ULAS J011824.89+034130.4', 19.603733, 3.691786, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('DENIS-P J100428.3-114648', 151.1176, -11.7803, None, '2000', None, 'Mart99.107', None, None),\n", - " ('WISE J125015.56+262846.9', 192.5649, 26.4797, None, '2000', None, 'Mace13.6', None, None),\n", - " ('S Ori 61', 84.7195, -2.4789, None, '2000', None, 'Zapa00', None, None),\n", - " ('2MASS J00070787-2458042', 1.7827917, -24.967833, None, None, '0007-2458', 'Reyl04', None, None),\n", - " ('2MASS J09283972-1603128', 142.1655, -16.053556, None, None, '0928-1603', 'Kirk00', None, None),\n", - " ('2MASS J21574904-5534420', 329.454333, -55.578333, None, None, '2157-5534', 'Reid08.1290', None, None),\n", - " ('2MASS J04012977-4050448', 60.374042, -40.8458, None, None, '0401-4050', 'Reid08.1290', None, None),\n", - " ('WISEA J125721.01+715349.3', 194.33754166666665, 71.89702777777778, None, None, None, 'Meis20.123', None, None),\n", - " ('SDSS J120358.19+001550.3', 180.99217, 0.26388889, None, None, '1203+0015', 'Fan_00', None, None),\n", - " ('PSO J069.7303+04.3834', 69.7299, 4.3834, None, '2000', None, 'Best20.257', None, None),\n", - " ('2MASS J14044495+4634297', 211.18696, 46.57513, None, None, '1404+4634', 'Cruz07', None, None),\n", - " ('2MASSI J1534498-295227', 233.7077, -29.8744, None, '2000', None, 'Burg02.421', None, None),\n", - " ('ULAS J161938.12+300756.4', 244.9086, 30.1321, None, '2000', None, 'Burn13', None, None),\n", - " ('2MASS J07540541+1603171', 118.5225, 16.054722, None, None, None, 'Cruz03', None, None),\n", - " ('CWISEP J104756.81+545741.6', 161.9867083333333, 54.961555555555556, None, None, None, 'Meis20.74', None, None),\n", - " ('CWISE J101317.51-010313.6', 153.3229961, -1.0537976, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('WISE J221140.52-475826.5', 332.9189, -47.9741, None, '2000', None, 'Tinn18', None, None),\n", - " ('2MASSW J1750129+442404', 267.5538, 44.4012, None, '2000', None, 'Gizi00', None, None),\n", - " ('CWISE J055515.83+510514.0', 88.8159856, 51.0872307, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J12565688+0146163', 194.2369995, 1.771194, None, None, '1256+0146', 'Reid08.1290', None, None),\n", - " ('2MASS J09510549+3558021', 147.772875, 35.96725, None, None, '0951+3558', 'Kirk00', None, None),\n", - " ('2MASS J04285096-2253227', 67.212292, -22.889639, None, None, '0428-2253', 'Kend03', None, None),\n", - " ('2MASS J21233110-2345186', 320.87958, -23.755, None, None, None, 'Cruz07', None, None),\n", - " ('2MASS J12392727+5515371', 189.863625, 55.260306, None, None, '1239+5515', 'Kirk00', None, None),\n", - " ('2MASS J16161833+0540382', 244.07638, 5.67729, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASSW J1123556+412228', 170.9811, 41.3743, None, '2000', None, 'Kirk00', None, None),\n", - " ('PSO J054.8149-11.7792', 54.8149, -11.779, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J02192210-3925225', 34.842104, -39.422928, None, None, '0219-3925B', 'Arti15', None, None),\n", - " ('2MASS J08533619-0329321', 133.39308, -3.4953333, None, None, '0853-0329', 'Reid87', None, None),\n", - " ('NLTT 19109B', 122.9958, -8.9665, None, '2000', None, 'Deac14.119', None, None),\n", - " ('SDSS J083429.19+230855.0', 128.6214, 23.1485, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('SDSS J105044.03+325843.5', 162.6835, 32.9788, None, '2000', None, 'West08', None, None),\n", - " ('WISEA J000627.85+185728.8', 1.6158, 18.9587, None, '2000', None, 'Schn16.112', None, None),\n", - " ('2MASS J05583706-1339123', 89.654445, -13.653394, None, None, '0558-1339', 'Cruz18', None, None),\n", - " ('WISE J004945.61+215120.0', 12.440225, 21.8554683, None, None, '0049+2151', 'Mace13.6', None, None),\n", - " ('SDSS J115250.06+643252.5', 178.2086, 64.5479, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('SDSS J143645.25+310914.7', 219.1887896, 31.1541942, None, None, None, 'Lupi08', None, 'Discovery reference from the BONES archive'),\n", - " ('ULAS J113716.54+112657.2', 174.3189, 11.4492, None, '2000', None, 'Card15', None, None),\n", - " ('Ross 248', 355.4793, 44.1775, None, '2000', None, 'Ross26', None, None),\n", - " ('EQ J2239+1617', 339.906465, 16.287833, None, None, '2239+1617', 'Kirk11', None, None),\n", - " ('2MASS J00461551+0252004', 11.5646, 2.8669, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('PSO J192.6717-21.8250', 192.6721, -21.8248, None, '2000', None, 'Best15', None, None),\n", - " ('HIP 65423B', 201.1458, -55.9569, None, '2000', None, 'Jans12', None, None),\n", - " ('ULAS J112043.11+090429.8', 170.1799, 9.075, None, '2000', None, 'Maro15', None, None),\n", - " ('SDSS J004221.15+145923.9', 10.5882, 14.9899, None, '2000', None, 'Hawl02', None, None),\n", - " ('SDSS J154628.38+253634.3', 236.6187, 25.6094, None, '2000', None, 'Zhan09', None, None),\n", - " ('2MASS J04070885+1514565', 61.7866, 15.2491, None, '2000', None, 'Burg04.2856', None, None),\n", - " ('2MASS J23464599+1129094', 356.6918, 11.486, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('2MASS J11533966+5032092', 178.4153, 50.5359, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('WISE J191915.54+304558.4', 289.8154, 30.7669, None, '2000', None, 'Thom13', None, None),\n", - " ('SDSS J000614.06+160454.5', 1.5586, 16.0818, None, '2000', None, 'Zhan10', None, None),\n", - " ('ULAS J133553.45+113005.2', 203.97271, 11.501444, None, None, '1335+1130', 'Burn08', None, None),\n", - " ('ULAS J092624.76+071140.7', 141.6034, 7.1953, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('HIP 49046B', 150.1488, 27.2849, None, '2000', None, 'Deac14.119', None, None),\n", - " ('2MASS J14263345-5229166', 216.6393, -52.488, None, '2000', None, 'Folk12', None, None),\n", - " ('GJ 758B', 290.8917, 33.222, None, '2000', None, 'Thal09', None, None),\n", - " ('CWISE J124033.48+460544.7', 190.1395201, 46.0957506, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J19561542-1754252', 299.06425, -17.907, None, None, '1956-1754', 'Kend07', None, None),\n", - " ('2MASS J09293364+3429527', 142.390167, 34.497972, None, None, '0929+3429', 'Kirk00', None, None),\n", - " ('2MASS J06543675-7131217', 103.65317, -71.522472, None, None, None, 'Cruz03', None, None),\n", - " ('CTI 012657.5+280202', 21.9131, 28.0981, None, '2000', None, 'Kirk94', None, None),\n", - " ('2MASSW J0306268+154514', 46.612, 15.7536, None, '2000', None, 'Kirk00', None, None),\n", - " ('SDSS J16585026+1820006', 254.709737, 18.333275, None, None, '1658+1820', 'West08', None, None),\n", - " ('WISP 123242.42-003306.7', 188.1768, -0.5519, None, '2000', None, 'Mast12.14', None, None),\n", - " ('PSO J277.3873+26.0116', 277.3865, 26.0118, None, None, None, 'Sang23', None, None),\n", - " ('HD 4113 C', 10.8025, -37.9826306, None, None, None, 'Chee18', None, None),\n", - " ('SONYC-ChaI-1', 167.126, -77.5274, None, '2000', None, 'Muzi15', None, None),\n", - " ('2MASS J08355829+0548308', 128.992875, 5.808556, None, None, '0835+0548', 'Reid08.1290', None, None),\n", - " ('PSO J179.2489+41.5121', 179.2496, 41.5121, None, None, None, 'Sang23', None, None),\n", - " ('2MASS J12171110-0311131', 184.2962505, -3.186972, None, None, '1217-0311', 'Burg99', None, None),\n", - " ('2MASS J14405684-2225149', 220.2367562, -22.420925, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", - " ('USco J155150.2-213457', 237.9591, -21.5825, None, '2000', None, 'Pena16', None, None),\n", - " ('2MASS J09555995-7342489', 148.9998, -73.7136, None, '2000', None, 'Folk12', None, None),\n", - " ('2MASS J14394298-1100430', 219.9290601, -11.0120408, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", - " ('ULAS J131313.57+265433.8', 198.3065, 26.9094, None, '2000', None, 'Card15', None, None),\n", - " ('WISE J203042.79+074934.7', 307.6764, 7.8266, None, '2000', None, 'Mace13.6', None, None),\n", - " ('SDSS J125437.60+293832.7', 193.6568, 29.6425, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J160510.15+042152.1', 241.2923, 4.3645, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J16241436+0029158', 246.0598335, 0.487722, None, None, '1624+0029', 'Stra99', None, None),\n", - " ('2MASS J10353492-0711479', 158.895517, -7.196647, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J02411151-0326587', 40.297958, -3.4496389, None, None, '0241-0326', 'Cruz07', None, None),\n", - " ('PSO J085.1080-18.0445', 85.1085, -18.0443, None, '2000', None, 'Best20.257', None, None),\n", - " ('2MASS J11303205+2345465', 172.63356, 23.762936, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASS J10321706+0501032', 158.0711, 5.0175, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('SDSS J020735.60+135556.3', 31.8983, 13.9323, None, '2000', None, 'Hawl02', None, None),\n", - " ('2MASS J13004255+1912354', 195.177291, 19.209833, None, None, '1300+1912', 'Gizi00', None, None),\n", - " ('2MASS J17453466-1640538', 266.39442, -16.681611, None, None, '1745-1640', 'Phan08', None, None),\n", - " ('WISE J151314.61+401935.6', 228.3106, 40.3265, None, '2000', None, 'Thom13', None, None),\n", - " ('HD 1160B', 3.9888, 4.2511, None, '2000', None, 'Niel12', None, None),\n", - " ('ULAS J143154.18-004114.3', 217.975761, -0.687308, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('SDSS J162124.66+274702.7', 245.3527, 27.7841, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WISE J173835.53+273259.0', 264.648045, 27.549694, None, None, '1738+2732', 'Cush11.50', None, None),\n", - " ('2MASS J04305157-0849007', 67.7149, -8.8169, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J02074284+0000564', 31.9285005, 0.015667, None, None, '0207+0000', 'Geba02', None, None),\n", - " ('ULAS J232122.72-004557.3', 350.3442, -0.7659, None, '2000', None, 'DayJ13', None, None),\n", - " ('ULAS J120621.03+101802.9', 181.5862, 10.3002, None, '2000', None, 'Burn13', None, None),\n", - " ('SDSS J144139.88+353809.5', 220.4162, 35.636, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J09130443-0733042', 138.2684, -7.5513, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J20343769+0827009', 308.657, 8.4503, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('SDSS J230722.58-005746.6', 346.844, -0.9629, None, '2000', None, 'Scho09', None, None),\n", - " ('PSO J321.1619+18.8243', 321.1612, 18.8241, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J11391107+0841121', 174.7961, 8.6867, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('2MASS J13290099-4147133', 202.2542, -41.7871, None, '2000', None, 'Gizi02.484', None, None),\n", - " ('CWISE J002101.45-334631.5', 5.2560473, -33.7754218, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J04420071-1356232', 70.5335, -13.945694, None, None, None, 'Cruz03', None, None),\n", - " ('SDSS J140347.84+351313.1', 210.9482, 35.2204, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J103428.24+414000.7', 158.6177, 41.6668, None, '2000', None, 'West08', None, None),\n", - " ('DENIS-P J151450.1-225435', 228.70921, -22.909611, None, None, None, 'Kend04', None, None),\n", - " ('2MASS J08572787-0332396', 134.3661, -3.5444, None, '2000', None, 'Cruz03', None, None),\n", - " ('HD 44627B', 94.8039, -58.0542, None, None, '0619-5803b', 'Chau05', None, 'Companion to HD 44627 at the planet/brown dwarf boundary.'),\n", - " ('WISEA J171331.68+245000.9', 258.38199999999995, 24.833583333333333, None, None, None, 'Meis20.123', None, None),\n", - " ('1RXS J160929.1-210524B', 242.3763, -21.083, None, '2000', None, 'Lafr08', None, None),\n", - " ('HIP 38939B', 119.5057, -25.6499, None, '2000', None, 'Deac12.94', None, None),\n", - " ('DENIS-P J0823031-491201', 125.7631, -49.2004, None, '2000', None, 'Phan08', None, None),\n", - " ('LHS 2195', 147.3426, 8.1125, None, '2000', None, 'Gizi97.849', None, None),\n", - " ('2MASS J15394189-0520428', 234.9245415, -5.345222, None, None, '1539-0520', 'Kend04', None, None),\n", - " ('kappa And B', 355.1021, 44.3339, None, '2000', None, 'Cars13', None, None),\n", - " ('ULAS J142145.63+013619.0', 215.4401, 1.6053, None, '2000', None, 'Burn13', None, None),\n", - " ('HIP 65706B', 202.0872, 30.0552, None, '2000', None, 'Deac14.119', None, None),\n", - " ('SDSS J011014.30+010619.1', 17.5593, 1.1053, None, '2000', None, 'Scho09', None, None),\n", - " ('SDSS J163030.53+434404.0', 247.6273, 43.7343, None, '2000', None, 'Knap04', None, None),\n", - " ('ULAS J135359.58+011856.7', 208.49827, 1.315773, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('WISEA J002810.59+521853.1', 7.044124999999999, 52.31475, None, None, None, 'Meis20.123', None, None),\n", - " ('2MASS J06160532-4557080', 94.0221945, -45.952244, None, None, '0616-4557', 'Reid08.1290', None, None),\n", - " ('2MASS J13435275-3851385', 205.9698, -38.8607, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('SSSPM J2400-2008', 359.9902, -20.1279, None, '2000', None, 'Lodi05', None, None),\n", - " ('2MASS J08370215+1952074', 129.259, 19.8687, 2000.0, 'J2000', None, 'Pinf97', None, None),\n", - " ('2MASS J17461199+5034036', 266.54996, 50.567672, None, None, '1746+5034', 'Reid08.1290', None, None),\n", - " ('PSO J159.0433-27.6357', 159.0434, -27.6349, None, '2000', None, 'Best15', None, None),\n", - " ('CFBDS J013302.27+023128.4', 23.2602, 2.5247, None, '2000', None, 'Albe11', None, None),\n", - " ('2MASS J03224622-7940595', 50.6926, -79.6832, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('PSO J261.2881+22.9269', 261.2882, 22.9269, None, '2000', None, 'Best15', None, None),\n", - " ('ULAS J020336.94-010231.1', 30.9039, -1.0421, None, '2000', None, 'Lodi07.1423', None, None),\n", - " ('2MASS J00255762+3911363', 6.490086, 39.193439, None, None, None, 'Cruz03', None, None),\n", - " ('2MASS J09312823+0528223', 142.8676, 5.4729, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('GSC 06214-00210B', 245.4778, -20.7192, None, '2000', None, 'Irel11.113', None, None),\n", - " ('2MASS J23364395+2153388', 354.18333, 21.894167, None, None, '2336+2153', 'Luyt79.2', None, None),\n", - " ('WISEA J204218.13-082137.8', 310.576, -8.3596, None, '2000', None, 'Kirk14', None, None),\n", - " ('ULAS J232123.79+135454.9', 350.3488, 13.9166, None, '2000', None, 'Scho10.8', None, None),\n", - " ('CWISE J060202.17-462447.8', 90.509052, -46.4132863, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J08594029+1145325', 134.9179, 11.759, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('2MASS J21263403-3143224', 321.64179, -31.722778, None, None, None, 'Reid08.1290', None, None),\n", - " ('CWISE J143935.94-804851.5', 219.8997509, -80.8143328, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('ULAS J125708.07+110850.4', 194.2844, 11.1451, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('2MASS J03512555+2345213', 57.8565, 23.756, 2000.0, 'J2000', None, 'Rebo96', None, None),\n", - " ('CWISE J174426.85+230355.1', 266.1118811, 23.0653259, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('PSO J260.1623+61.7636', 260.1621, 61.763, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J22021125-1109461', 330.5469, -11.1629, None, '2000', None, 'Gizi00', None, None),\n", - " ('WISE J041358.14-475039.3', 63.4923, -47.8443, None, '2000', None, 'Mace13.6', None, None),\n", - " ('TVLM 513-8328', 228.5855, 23.6847, None, '2000', None, 'Tinn93.1045', None, None),\n", - " ('WISEA J112440.19+663052.0', 171.16745833333331, 66.51444444444445, None, None, None, 'Meis20.123', None, None),\n", - " ('CFBDS J214139.77-033739.0', 325.4156, -3.6276, None, '2000', None, 'Albe11', None, None),\n", - " ('2MASS J23343945+1933041', 353.6642, 19.5511, None, '2000', None, 'Gizi00', None, None),\n", - " ('WISEA J104051.77+450329.3', 160.2157083333333, 45.058138888888884, None, None, None, 'Meis20.123', None, None),\n", - " ('WISE J032517.69-385454.1', 51.3237, -38.915, None, '2000', None, 'Mace13.6', None, None),\n", - " ('ULAS J102305.44+044739.2', 155.7727, 4.7942, None, '2000', None, 'Burn13', None, None),\n", - " ('SDSS J145658.17+070104.7', 224.2425, 7.0178, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J09211410-2104446', 140.3087505, -21.079056, None, None, '0921-2104', 'Reid08.1290', None, None),\n", - " ('WISEA J045921.21+154059.2', 74.8372, 15.6847, None, '2000', None, 'Kirk14', None, None),\n", - " ('2MASS 0441+2301 Bab', 70.4371, 23.0309, None, '2000', None, 'Todo10', None, None),\n", - " ('2MASS J09342920-1352434', 143.6216, -13.8788, None, '2000', None, 'Cruz03', None, None),\n", - " ('ULAS J120214.62+073113.8', 180.5609, 7.5208, None, '2000', None, 'Lodi12.105', None, None),\n", - 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" ('2MASS J00034227-2822410', 0.926125, -28.378056, None, None, '0003-2822', 'Cruz07', None, None),\n", - " ('CWISE J002159.02-451434.4', 5.4959547, -45.2428987, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('SDSS J152103.24+013142.7', 230.2635, 1.5285, None, '2000', None, 'Knap04', None, None),\n", - " ('2MASSW J1035245+250745', 158.8522, 25.129, None, '2000', None, 'Kirk00', None, None),\n", - " ('ULAS J154701.84+005320.3', 236.7575, 0.8892, None, '2000', None, 'Pinf08', None, None),\n", - " ('2MASS J08293244-0238543', 127.3853, -2.6485, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J12474944-1117551', 191.9559, -11.2987, None, '2000', None, 'Kirk10', None, None),\n", - " ('ULAS J121238.72+000721.9', 183.1612, 0.1227, None, '2000', None, 'Maro15', None, None),\n", - " ('PSO J280.2973+63.2600', 280.2976, 63.2596, None, '2000', None, 'Best15', None, None),\n", - " ('PSO J207.7496+29.4240', 207.75, 29.4243, None, '2000', None, 'Best15', None, None),\n", - " ('SDSS J125214.08+142239.3', 193.0584, 14.3774, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J2320292+412341', 350.1221, 41.3949, None, '2000', None, 'Bard14', None, None),\n", - " ('[BZR99] S Ori 70', 84.5420833, -2.6072222, None, None, None, 'Missing', None, None),\n", - " ('2MASS J23490528+1833150', 357.272, 18.5541666667, None, None, '2349+1833', 'Cruz18', None, None),\n", - " ('WISE J024124.73-365328.0', 40.3531, -36.8911, None, '2000', None, 'Kirk12', None, None),\n", - " ('ULAS J153108.89+060111.1', 232.787, 6.0199, None, '2000', None, 'Kend07.1059', None, None),\n", - " ('2MASS J09384022-2748184', 144.6677, -27.8051, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('2MASS J17320014+2656228', 263.0006, 26.9396, None, '2000', None, 'Kirk10', None, None),\n", - " ('PSO J323.1320+29.5308', 323.1314, 29.5303, None, '2000', None, 'Best20.257', None, None),\n", - " ('SIMP J01205253+1518277', 20.2191, 15.3076, None, None, None, 'Robe16', None, None),\n", - " ('HIP 85365B', 261.5931, -5.0364, None, '2000', None, 'Deac14.119', None, None),\n", - " ('SDSS J105110.69+314130.0', 162.7946, 31.6918, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('ULAS J092659.46-005611.1', 141.7478, -0.9366, None, '2000', None, 'Maro15', None, None),\n", - " ('WISEA J102313.22-315126.7', 155.8051, -31.8574, None, '2000', None, 'Tinn18', None, None),\n", - " ('CFBDS J022638.96-072831.8', 36.6623, -7.4755, None, '2000', None, 'Albe11', None, None),\n", - " ('SDSS J121645.58+492744.9', 184.1895, 49.4624, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('SDSS J034408.91+011124.9', 56.0371, 1.1903, None, '2000', None, 'Bouy03', None, None),\n", - " ('ULAS J085715.96+091325.3', 134.3165, 9.2238, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('SDSS J021248.51+221822.0', 33.202, 22.3061, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J08561384-1342242', 134.0577, -13.706731, None, None, '0856-1342', 'Gagn15.33', None, None),\n", - " ('LEHPM 2-0783', 304.9576, -58.2786, None, '2000', None, 'Riaz06.866', None, None),\n", - " ('2MASS J05284435-3252228', 82.1848, -32.873, None, '2000', None, 'Cruz03', None, None),\n", - " ('WISP 130525.51-253828.8', 196.3563, -25.6413, None, '2000', None, 'Mast12.14', None, None),\n", - " ('2MASS J06154934-0100415', 93.95558, -1.01156, None, None, '0615-0100', 'Phan08', None, None),\n", - " ('2MASS J14075361+1241099', 211.9733745, 12.686083, None, None, '1407+1241', 'Reid08.1290', None, None),\n", - " ('SDSS J140403.24+445331.7', 211.0136, 44.8921, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J093242.84+042215.2', 143.1785, 4.3709, None, '2000', None, 'Zhan10', None, None),\n", - " ('2MASS J0249-0557 c', 42.4766, -5.9671, None, '2000', None, 'Dupu18', None, None),\n", - " ('SDSS J081812.28+331048.2', 124.5513, 33.18, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('SDSS J142227.25+221557.1', 215.6134, 22.2659, None, '2000', None, 'Chiu06', None, None),\n", - " ('LHS 3566', 309.8493, -29.443, None, '2000', None, 'Luyt79.2', None, None),\n", - " ('WISEA J222409.64-185242.1', 336.0395, -18.8775, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('SDSS J120602.51+281328.7', 181.5103, 28.2247, None, '2000', None, 'Chiu06', None, None),\n", - " ('PSO J291.2688+68.5310', 291.2722, 68.5311, None, '2000', None, 'Best15', None, None),\n", - " ('ULAS J085342.94+000651.8', 133.4284, 0.1143, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('Gl 250B', 103.10537, -5.1918611, None, None, None, 'Missing', None, 'NIR M2.5 standard'),\n", - " ('2MASS J23512200+3010540', 357.841665, 30.181667, None, None, '2351+3010', 'Kirk10', None, None),\n", - " ('2MASS J12204296+6205315', 185.1787143, 62.0919875, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J09490860-1545485', 147.285834, -15.763472, None, None, '0949-1545', 'Tinn05.2326', None, None),\n", - " ('2MASS J09121469+1459396', 138.061209, 14.994333, None, None, '0912+1459', 'Wils01', None, None),\n", - " ('PM I22118-1005B', 332.9219, -10.1384, None, '2000', None, 'Deac14.119', None, None),\n", - " ('SDSS J124036.81+152517.1', 190.1534, 15.4215, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J125230.79+183506.0', 193.128, 18.5849, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J13052133+2245026', 196.3389, 22.750729, None, None, None, 'Cruz03', None, None),\n", - " ('LHS 1367', 33.783417, -30.666972, None, None, None, 'Luyt79.5', None, None),\n", - " ('SDSS J214527.82-073434.1', 326.3667, -7.5764, None, '2000', None, 'West08', None, None),\n", - " ('CHXR 73B', 166.6198, -77.6259, None, '2000', None, 'Luhm06.894', None, None),\n", - " ('2MASS J04362054-4218523', 69.085583, -42.314544, None, None, '0436-4218', 'Reid08.1290', None, None),\n", - " ('CFBDS J102841.01+565401.9', 157.1709, 56.9005, None, '2000', None, 'Albe11', None, None),\n", - " ('CWISE J042455.69+000221.5', 66.23204166666666, 0.03930555555555555, None, None, None, 'Meis20.74', None, None),\n", - " ('2MASS J11074656-7615174', 166.944, -76.2548, 2000.0, 'J2000', None, 'Gome01', None, None),\n", - " ('WISE J070159.79+632129.2', 105.4993, 63.3588, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J14521846+4826214', 223.07692, 48.439293, None, None, None, 'Cruz03', None, None),\n", - " ('2MASS J15123329-1032414', 228.17775, -10.561361, None, None, '1512-1032', 'Phan06', None, None),\n", - " ('LSPM J2331+4607N', 352.8253, 46.1252, None, '2000', None, 'Bard14', None, None),\n", - " ('ULAS J150547.89+070316.6', 226.4495, 7.0548, None, '2000', None, 'Pinf08', None, None),\n", - " ('CWISE J091105.02+214645.1', 137.77091666666666, 21.779194444444443, None, None, None, 'Kirk21', None, None),\n", - " ('2MASS J02082363+2737400', 32.098458, 27.627778, None, None, '0208+2737', 'Kirk00', None, None),\n", - " ('2MASS J04173745-0800007', 64.406083, -8.000214, None, None, '0417-0800', 'Cruz03', None, None),\n", - " ('WISEA J213810.99+373312.9', 324.5457916666666, 37.55358333333333, None, None, None, 'Meis20.123', None, None),\n", - " ('2MASS J14135981-0457483', 213.4991, -4.9635, None, '2000', None, 'Cruz03', None, None),\n", - " ('ULAS J101658.05-013258.0', 154.242, -1.5494, None, '2000', None, 'Maro15', None, None),\n", - " ('2MASS J16452207+3004071', 251.34196, 30.068639, None, None, '1645+3004', 'Cruz07', None, None),\n", - " ('SDSS J131822.82-011150.1', 199.595082, -1.197249, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", - " ('WISEA J004206.84-584023.9', 10.5285, -58.6733, None, '2000', None, 'Tinn18', None, None),\n", - " ('WISE J033605.05-014350.4', 54.020859, -1.732166, 2014.0, None, '0336-0143', 'Mace13.6', None, None),\n", - " ('2MASS J14351087-2333025', 218.7952, -23.5507, None, '2000', None, 'Luhm12.152', None, None),\n", - " ('SDSS J141126.20+200911.1B', 212.8593, 20.1531, None, '2000', None, 'Litt14', None, None),\n", - " ('CWISE J014837.51-104805.6', 27.156291666666664, -10.801555555555556, None, None, None, 'Kirk21', None, None),\n", - " ('WISE J021010.25+400829.6', 32.5437, 40.1423, None, '2000', None, 'Mace13.6', None, None),\n", - " ('LP 44-162', 269.3142, 70.7003, None, '2000', None, 'Gizi00', None, None),\n", - " ('CFHT-IC 348-29', 56.3235, 32.1321, None, '2000', None, 'Alve13.123', None, None),\n", - " ('2MASSW J1412244+163312', 213.102, 16.5533, None, '2000', None, 'Kirk00', None, None),\n", - " ('2MASS J14582453+2839580', 224.6022, 28.6661, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('WISE J061135.13-041024.0', 92.8963755, -4.173333, None, None, '0611-0410AB', 'Kirk11', None, None),\n", - " ('WISE J231921.92+764544.4', 349.8389, 76.7622, None, '2000', None, 'Cast16', None, None),\n", - " ('2MASS J02550357-4700509', 43.7648745, -47.014139, None, None, '0255-4700', 'Mart99.107', None, None),\n", - " ('2MASS J08410852+1954018', 130.285, 19.9005, 2000.0, 'J2000', None, 'Pinf97', None, None),\n", - " ('SDSS J140909.45+432750.0', 212.2894, 43.4639, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J00315477+0649463', 7.9782, 6.8296, None, '2000', None, 'Lepi02', None, None),\n", - " ('2MASS J13032398+3602486', 195.84995, 36.046848, None, None, None, 'Cruz07', None, None),\n", - " ('ULAS J154319.80+080446.3', 235.8327, 8.0794, None, '2000', None, 'Maro15', None, None),\n", - " ('SDSS J092532.11+283550.9', 141.3838, 28.5974, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('SDSS J124352.25+131021.3', 190.9678, 13.1726, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J00325937+1410371', 8.247375, 14.176972, None, None, '0032+1410', 'Geba02', None, None),\n", - " ('GAT 1370', 43.253536, 16.881466, None, None, '0253+1652', 'Turn03', None, None),\n", - " ('ULAS J083408.92+040728.7', 128.5368, 4.1256, None, '2000', None, 'Card15', None, None),\n", - " ('ULAS J225649.51+005452.5', 344.2062, 0.9148, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('PSO J282.5878+34.7691', 282.5878, 34.7691, None, '2000', None, 'Best15', None, None),\n", - " ('SDSS J090347.55+011446.0', 135.9481, 1.2461, None, '2000', None, 'Zhan09', None, None),\n", - " ('2MASS J06145280+4536556', 93.72001, 45.615471, None, None, None, 'Cruz03', None, None),\n", - " ('ROXs 42Bb', 247.8126, -24.5455, None, '2000', None, 'Curr14.30', None, 'Best20 lists discovery as Curr14a; Krau14a'),\n", - " ('2MASS J10315064+3349595', 157.9602, 33.8334, None, '2000', None, 'Kirk10', None, None),\n", - " ('ULAS J032143.05+054524.3', 50.429, 5.7571, None, '2000', None, 'DayJ13', None, None),\n", - " ('2MASS J10461875+4441149', 161.5782, 44.6874, None, '2000', None, 'Kirk10', None, None),\n", - " ('ULAS J102144.87+054446.1', 155.4368, 5.7457, None, '2000', None, 'Burn13', None, None),\n", - " ('WISEA J131211.10-761740.9', 198.0461, -76.2947, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('UGCS J160956.34-222245.6', 242.4848, -22.3792, None, '2000', None, 'Lodi08', None, None),\n", - " ('HD 984 B', 3.5427, -7.1991, None, '2000', None, 'Mesh15.2378', None, None),\n", - " ('EQ J2348-1028', 357.171255, -10.479, None, None, '2348-1028', 'Kirk11', None, None),\n", - " ('ULAS J075829.83+222526.7', 119.6241, 22.4244, None, '2000', None, 'Burn13', None, None),\n", - " ('2MASS J06462756+7935045', 101.61483, 79.584583, None, None, '0646+7935', 'Lout11', None, None),\n", - " ('SDSS J101517.63+075212.0', 153.8235, 7.87, None, '2000', None, 'West08', None, None),\n", - " ('WISEA J230930.58+145633.1', 347.3774166666666, 14.942527777777778, None, None, None, 'Meis20.123', None, None),\n", - " ('2MASS J22362452+4751425 b', 339.1022, 47.8618, None, '2000', None, 'Bowl17.18', None, None),\n", - " ('2MASS J18544597+8429470', 283.60658, 84.499722, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASS J10595138-2113082', 164.964084, -21.218944, None, None, '1059-2113', 'Cruz03', None, None),\n", - " ('SDSS J125253.62+342138.8', 193.223, 34.3608, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J21543454-1055308', 328.643928, -10.925234, None, None, '2154-1055', 'Gagn14.17', None, None),\n", - " ('2MASS J00001354+2554180', 0.0564165, 25.905, None, None, '0000+2554', 'Knap04', None, None),\n", - " ('CWISEP J103453.14+161228.0', 158.72141666666664, 16.20777777777778, None, None, None, 'Meis20.74', None, None),\n", - " ('2MASSW J0944027+313132', 146.0116, 31.5258, None, '2000', None, 'Kirk00', None, None),\n", - " ('2MASS J01170586+1752568', 19.31725, 17.898806, None, None, None, 'Reid08.1290', None, None),\n", - " ('CWISE J131355.15+223005.6', 198.4798067, 22.5015715, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('HD 130948B', 222.566667, 23.911611, None, None, None, 'Dupu09.729', 'Pott22', None),\n", - " ('2MASS J04510093-3402150', 72.753833, -34.0375, None, None, '0451-3402', 'Cruz03', None, None),\n", - " ('2MASS J20334473-5635338', 308.436414, -56.592735, None, None, '2033-5635', 'Gagn15.33', None, None),\n", - " ('SDSS J103730.42+461826.6', 159.3767, 46.3074, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('SDSS J141858.92+600018.8', 214.7454, 60.0053, None, '2000', None, 'West08', None, None),\n", - " ('CWISE J205247.07+053855.7', 313.196131, 5.6488179, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J11582484+1354456', 179.6035, 13.9128, None, '2000', None, 'Cruz03', None, None),\n", - " ('CD-35 2722b', 92.33, -35.8255, None, None, '0609-3549b', 'Wahh11', None, None),\n", - " ('DENIS-P J0716478-063037', 109.1996, -6.5103, None, '2000', None, 'Phan08', None, None),\n", - " ('PSO J227.1576-07.9608', 227.1577, -7.9605, None, None, None, 'Sang23', None, None),\n", - " ('ULAS J141203.85+121609.9', 213.0165, 12.2694, None, '2000', None, 'Maro15', None, None),\n", - " ('PSO J089.1751-09.4513', 89.1754, -9.4509, None, '2000', None, 'Best20.257', None, None),\n", - " ('2MASS J23520507-1100435', 358.021136, -11.012096, None, None, '2352-1100', 'Cruz07', None, None),\n", - " ('SDSS J212413.89+010000.3', 321.0579, 0.9999, None, '2000', None, 'Knap04', None, None),\n", - " ('SDSS J083621.98+494931.5', 129.0917, 49.8255, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J154914.17+502235.8', 237.3087, 50.3765, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J13040757+4036157', 196.03124, 40.60438, None, None, None, 'Cruz03', None, None),\n", - " ('2MASS J08034469+0827000', 120.9362, 8.45, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('PSO J009.8334+58.5781', 9.8318, 58.5785, None, None, None, 'Alle16.PhDT', None, None),\n", - " ('2MASS J02594471+2254443', 44.991667, 22.929389, None, None, None, 'Reid08.1290', None, None),\n", - " ('PSO J037.4616+17.2761', 37.4614, 17.2764, None, None, None, 'Alle16.PhDT', None, None),\n", - " ('2MASS J01460119-4545263', 26.5048, -45.7573, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('SDSS J134515.81-025514.4', 206.316, -2.9206, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J21324036+1029494', 323.168171, 10.497078, None, None, '2132+1029', 'Chiu06', None, None),\n", - " ('SDSS J140633.18+360449.3', 211.6376, 36.0803, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J10240997+1815533', 156.0415, 18.2647, None, '2000', None, 'Gizi00', None, None),\n", - " ('2MASS J01090150-5100494', 17.2562505, -51.013722, None, None, '0109-5100', 'Lodi02', None, None),\n", - " ('2MASS J17343053-1151388', 263.6272, -11.8608, None, '2000', None, 'Kirk10', None, None),\n", - " ('SIPS J0058-0651', 14.677208, -6.8566389, None, None, '0058-0651', 'Kirk00', None, None),\n", - " ('SDSS J000250.98+245413.8', 0.7124, 24.9039, None, '2000', None, 'Chiu06', None, None),\n", - " ('LHS 1166', 13.9345, 25.1066, None, '2000', None, 'Reid05', None, None),\n", - " ('WISEA J042449.21-595905.6', 66.2051, -59.9849, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('2MASS J08564793+2235182', 134.199708, 22.588389, None, None, '0856+2235', 'Cruz03', None, None),\n", - " ('LP 44-334', 280.0098, 72.6817, None, '2000', None, 'Reid04', None, None),\n", - " ('2MASS J11582077+0435014', 179.58654, 4.583722, None, None, '1158+0435', 'Kirk10', None, None),\n", - " ('WISE J083337.82+005214.1', 128.4075, 0.8705, None, '2000', None, 'Pinf14.1009', None, None),\n", - " ('SDSS J080322.77+123845.3', 120.8446, 12.6457, None, '2000', None, 'Zhan09', None, None),\n", - " ('NLTT 38489B', 222.1936, 56.1822, None, '2000', None, 'Deac14.119', None, None),\n", - " ('2MASS J19170993+7755597', 289.2914, 77.9333, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('Hya03', 62.5996, 14.9862, None, '2000', None, 'Lodi14.3908', None, None),\n", - " ('2MASS J07405577+4114097', 115.23231, 41.236, None, None, None, 'Cruz03', None, None),\n", - " ('WISE J113949.24-332425.1', 174.9552, -33.4071, None, '2000', None, 'Thom13', None, None),\n", - " ('2MASS J07464256+2000321', 116.6773335, 20.008917, None, None, '0746+2000', 'Reid00', None, None),\n", - " ('WISEA J061557.21+152626.1', 93.9884, 15.4406, None, '2000', None, 'Mart18', None, None),\n", - " ('ULAS J130217.21+130851.2', 195.5712, 13.1475, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('SDSS J155120.86+432930.3', 237.837, 43.4917, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J23361644+1835004', 354.06852, 18.583447, None, None, None, 'Cruz03', None, None),\n", - " ('SDSS J132715.21+075937.5', 201.8136, 7.9938, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WASP-103b', 249.315, 7.18337, 2000.0, 'J2000', None, 'Cole14', None, None),\n", - " ('2MASS J11555389+0559577', 178.9745415, 5.999361, None, None, '1155+0559', 'Knap04', None, None),\n", - " ('SDSS J091750.34+294445.0', 139.4598, 29.7459, None, '2000', None, 'West08', None, None),\n", - " ('LHS 2930', 217.6575, 59.7236, None, '2000', None, 'Prob83', None, None),\n", - " ('2MASS J11112820-2655027', 167.8675, -26.9174, None, '2000', None, 'Gagn17.18', None, None),\n", - " ('2MASS J23202927+4123415', 350.12167, 41.394722, None, None, None, 'Cruz18', None, None),\n", - " ('NLTT 55219B', 343.6182, 22.0486, None, '2000', None, 'Deac14.119', None, None),\n", - " ('2MASSW J0832045-012835', 128.0188, -1.4767, None, '2000', None, 'Kirk00', None, None),\n", - " ('SDSS J131002.89+055404.3', 197.5121, 5.9012, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J03144011-0450316', 48.6671, -4.8422, None, '2000', None, 'Cruz03', None, None),\n", - " ('WISE J075430.95+790957.8', 118.6238, 79.1652, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J11061197+2754225', 166.5484, 27.9041, None, '2000', None, 'Loop07.1162', None, None),\n", - " ('ULAS J141520.66+041647.1', 213.8361, 4.2798, None, '2000', None, 'Card15', None, None),\n", - " ('2MASS J08220659+0441026', 125.527477, 4.684071, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('WISEP J004928.48+044100.1', 12.368667, 4.683361, None, None, '0049+0440', 'Kirk11', None, None),\n", - " ('SDSS J002209.31-011040.2', 5.5388, -1.1778, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J17380025+8505130', 264.39525, 85.086194, None, None, None, 'Reid08.1290', None, None),\n", - " ('HR 8799b', 346.8696, 21.1343, None, '2000', None, 'Maro08', None, None),\n", - " ('CFHT-Hy-20', 67.6613, 13.1658, None, '2000', None, 'Bouv08.661', None, None),\n", - " ('DH Tau B', 67.4236, 26.549, None, '2000', None, 'Itoh05', None, None),\n", - " ('ULAS J013619.79+071737.9', 24.0825, 7.2938, None, '2000', None, 'DayJ13', None, None),\n", - " ('2MASS J03100053+0726506', 47.5021, 7.4474, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('LHS 1074', 6.4634, -7.8022, None, '2000', None, 'Reid05', None, None),\n", - " ('SDSS J162838.35+625945.7', 247.1597, 62.996, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J11335700-7807240', 173.4875, -78.1233, None, '2000', None, 'Luhm07.104', None, None),\n", - " ('SDSS J154502.87+061807.8', 236.2621, 6.3022, None, '2000', None, 'Zhan09', None, None),\n", - " ('CFBDS J025805.92-145534.3', 44.5248, -14.9262, None, '2000', None, 'Albe11', None, None),\n", - " ('SDSS J093824.88+290328.9', 144.6037, 29.0582, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WISE J140533.32+835030.5', 211.4052, 83.8402, None, '2000', None, 'Cast13', None, None),\n", - " ('ULAS J124425.90+102441.9', 191.1082, 10.412, None, '2000', None, 'Lodi12.105', None, None),\n", - " ('PSO J000.2794+16.6237', 0.2792, 16.6241, None, None, None, 'Alle16.PhDT', None, None),\n", - " ('SDSS J170316.71+190636.0', 255.8197, 19.11, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J140601.47+524931.0', 211.5063, 52.8252, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J152324.45-021133.8', 230.8519, -2.1927, None, '2000', None, 'West08', None, None),\n", - " ('WISE J170745.85-174452.5', 256.9404, -17.7479, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J20575409-0252302', 314.475375, -2.875056, None, None, '2057-0252', 'Cruz03', None, None),\n", - " ('2MASS J19285196-4356256', 292.2165, -43.940444, None, None, '1928-4356', 'Reid08.1290', None, None),\n", - " ('ULAS J094420.32+024422.7', 146.0846, 2.7396, None, '2000', None, 'Maro15', None, None),\n", - " ('EQ J0223-2932', 35.843292, -29.549472, None, None, '0223-2932', 'Kirk11', None, None),\n", - " ('2MASS J04453237-3642258', 71.3848, -36.7071, None, '2000', None, 'Cruz03', None, None),\n", - " ('SDSS J065405.63+652805.4', 103.5235, 65.4681, None, '2000', None, 'Chiu06', None, None),\n", - " ('2MASS J02103857-3015313', 32.6607084, -30.25869444, None, None, '0210-3015', 'Gagn15.33', None, None),\n", - " ('SDSS J112615.25+012048.2', 171.5638, 1.3467, None, '2000', None, 'Knap04', None, None),\n", - " ('SDSS J011816.78+141841.4', 19.57, 14.3115, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J02540582-1934523', 43.566542, -19.568472, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASS J15072779-2000431', 226.8659, -20.012, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J13464634-0031501', 206.6930835, -0.530583, None, None, '1346-0031', 'Tsve00', None, None),\n", - " ('PSO J239.7016-23.2664', 239.7016, -23.2665, None, '2000', None, 'Best17.95', None, None),\n", - " ('2MASS J23440624-0733282', 356.0260005, -7.557833, None, None, '2344-0733', 'Kirk08', None, None),\n", - " ('2MASS J12563961-2718455', 194.165047, -27.31266, None, None, '1256-2718', 'Gagn15.33', None, None),\n", - " ('2MASS J21324898-1452544', 323.2041, -14.8818, None, '2000', None, 'Maro13', None, None),\n", - " ('2MASS J11040127+1959217', 166.005291, 19.989361, None, None, '1104+1959', 'Cruz03', None, None),\n", - " ('2MASS J07044934+5051556', 106.20559, 50.865467, None, None, None, 'Cruz03', None, None),\n", - " ('ULAS J095829.86-003932.0', 149.6236, -0.6572, None, '2000', None, 'Pinf08', None, None),\n", - " ('PSO J005.6302-06.8669', 5.6307, -6.8671, None, '2000', None, 'Best20.257', None, None),\n", - " ('WISEA J144033.28-080406.9', 220.138, -8.068, None, '2000', None, 'Schn16.112', None, None),\n", - " ('2MASS J03443514+2513429', 56.1465, 25.2286, 2000.0, 'J2000', None, 'Bouv98', None, None),\n", - " ('WISE J124332.17+600126.6', 190.88386, 60.023957, None, None, None, 'Fahe21', None, None),\n", - " ('2MASS J07214625+1937444', 110.44271, 19.629002, None, None, None, 'Cruz03', None, None),\n", - " ('LP 851-346', 178.9285, -22.4163, None, '2000', None, 'Crif05', None, None),\n", - " ('SIPS J0614-2019', 93.5499, -20.3218, None, '2000', None, 'Deac07', None, None),\n", - " ('ULAS J010036.01+062044.1', 15.15, 6.3456, None, '2000', None, 'DayJ13', None, None),\n", - " ('PSO J136.5494-06.1944', 136.5493, -6.1944, None, '2000', None, 'Best15', None, None),\n", - " ('CWISE J233531.55+014219.6', 353.8814851, 1.7054667, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('ULAS J104224.20+121206.8', 160.6011, 12.2019, None, '2000', None, 'Burn13', None, None),\n", - " ('WISEPA J174124.26+255319.5', 265.3522, 25.893, None, '2000', None, 'Kirk11', None, 'Best20 lists discovery as Kirk11; Scho11'),\n", - " ('NLTT 35593B', 208.6462, -6.126, None, '2000', None, 'Deac14.119', None, None),\n", - " ('CWISE J073831.31+525453.7', 114.6304785, 52.9149251, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('WISEA J195311.04-022954.7', 298.2965, -2.4974, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('2MASS J01344601-5707564', 23.6918, -57.1323, None, '2000', None, 'Krau14.146', None, None),\n", - " ('PSO J244.6801+08.7185', 244.68, 8.7186, None, '2000', None, 'Best15', None, None),\n", - " ('SDSS J120543.42+605728.3', 181.4295, 60.9573, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J21363029+0515329', 324.12622, 5.259139, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASSI J0302012+135814', 45.5051, 13.9706, None, '2000', None, 'Kirk00', None, None),\n", - " ('2MASS J10513331-1916530', 162.8884, -19.2815, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('SDSS J121304.77+152922.2', 183.2701, 15.4897, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('LP 440-52', 219.75129165, 18.66069444, None, None, '1439+1839', 'Lieb79', None, None),\n", - " ('ULAS J141623.94+134836.3', 214.100355, 13.807318, None, None, '1416+1348B', 'Burn10.1952', None, None),\n", - " ('WISEA J032811.00-422321.6', 52.04583333333333, -42.38933333333333, None, None, None, 'Meis20.123', None, None),\n", - " ('SDSS J144804.97+060802.3', 222.021, 6.1335, None, '2000', None, 'West08', None, None),\n", - " ('ULAS J033027.97+053626.6', 52.6165, 5.6075, None, '2000', None, 'Maro15', None, None),\n", - " ('SDSS J083759.75+195727.7', 129.499, 19.9577, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('CWISE J112106.36-623221.5', 170.27649999999997, -62.53930555555555, None, None, None, 'Kirk21', None, None),\n", - " ('2MASS J08391608+1253543', 129.817, 12.8984, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASSI J2252014-181558', 343.0063, -18.2665, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASSI J1332286+263508', 203.1183, 26.5857, None, '2000', None, 'Kirk00', None, None),\n", - " ('ULAS J234827.94+005220.5', 357.1167, 0.8724, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('SDSS J134322.51-030100.2', 205.8438, -3.0168, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J08213173+1443231', 125.38179, 14.722028, None, None, '0821+1443', 'Kirk11', None, None),\n", - " ('SDSS J143317.78+101123.3B', 218.3241, 10.1899, None, '2000', None, 'Litt08', None, 'Best20 lists discovery as Litt08; Litt13'),\n", - " ('SDSS J100016.92+321829.4', 150.0711, 32.3085, None, '2000', None, 'Zhan09', None, None),\n", - " ('2MASS J04082905-1450334', 62.121042, -14.842611, None, None, '0408-1450', 'Wils03', None, None),\n", - " ('SDSS J154849.02+172235.4', 237.2046, 17.3766, None, '2000', None, 'Chiu06', None, None),\n", - " ('WISEPC J150649.97+702736.0', 226.7185, 70.457, None, '2000', None, 'Kirk11', None, None),\n", - " ('2MASS J14193867-3136519', 214.9111, -31.6144, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('WISE J082650.64+285251.9', 126.7106637, 28.8816887, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J12172372-0237369', 184.3489, -2.6269, None, '2000', None, 'Geis11', None, None),\n", - " ('WISE J173859.27+614242.1', 264.7469, 61.7117, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J18462188-5706040', 281.5911, -57.1011, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('beta Pic b', 86.82118, -51.06652, None, None, None, 'Lagr10', None, None),\n", - " ('2MASS J12373919+6526148', 189.413292, 65.437444, None, None, '1237+6526', 'Burg99', None, None),\n", - " ('2MASS J22433237-1525260', 340.884859, -15.423901, None, None, '2243-1525', 'Cruz18', None, None),\n", - " ('ULAS J220917.12-005259.9', 332.3215, -0.8831, None, '2000', None, 'DayJ13', None, None),\n", - " ('ULAS J121816.52+134953.8', 184.5694, 13.8317, None, '2000', None, 'Maro15', None, None),\n", - " ('WISEP J190648.47+401106.8', 286.7003, 40.1857, None, '2000', None, 'Gizi11.34', None, None),\n", - " ('2MASS J12490458-3454080', 192.26979, -34.902194, None, None, None, 'Cruz18', None, 'galaxy'),\n", - " ('ULAS J111429.54+072809.5', 168.623085, 7.469307, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J15074769-1627386', 226.9487085, -16.460722, None, None, '1507-1627', 'Reid00', None, None),\n", - " ('2MASS J02115089+4728300', 32.96206, 47.47501, None, None, None, 'Cruz03', None, None),\n", - " ('2MASS J15551573-0956055', 238.8155415, -9.934861, None, None, '1555-0956', 'Gizi02.484', None, None),\n", - " ('ULAS J223728.91+064220.1', 339.3704, 6.7056, None, '2000', None, 'Burn13', None, None),\n", - " ('SDSS J134224.93+603731.4', 205.6038, 60.6254, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J21522609+0937575', 328.1087085, 9.632639, None, None, '2152+0937', 'Reid08.1290', None, None),\n", - " ('ULAS J023144.49+063602.2', 37.9354, 6.6006, None, '2000', None, 'Card15', None, None),\n", - " ('2MASS J03484468+2437237', 57.1862, 24.6232, 2000.0, 'J2000', None, 'Bouv98', None, None),\n", - " ('2MASS J08315598+1025417', 127.983268, 10.428261, None, None, '0831+1025', 'Reid08.1290', None, None),\n", - " ('PSO J071.4708+36.4930', 71.4707, 36.4934, None, '2000', None, 'Best15', None, None),\n", - " ('SDSS J093328.00+265448.4', 143.3668, 26.9137, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J06143818+3950357', 93.6591, 39.8432, None, '2000', None, 'Muzi12.180', None, None),\n", - " ('SDSS J075256.70+173433.8', 118.2363, 17.5761, None, '2000', None, 'Zhan09', None, None),\n", - " ('SDSS J123257.20+410723.5', 188.2382139, 41.1234264, None, None, None, 'Lupi08', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J02540788+0223563', 43.539375, 2.39975, None, None, '0254+0223', 'Scho11', None, None),\n", - " ('ULAS J225114.89-000724.4', 342.8121, -0.1234, None, '2000', None, 'DayJ13', None, None),\n", - " ('2MASS J17125121-0507249', 258.214, -5.1261, None, None, '1712-0507B', 'Schn11', None, None),\n", - " ('PSO J028.0715-15.5717', 28.0714, -15.5714, None, None, None, 'Sang23', None, None),\n", - " ('CFHT-IC 348-1', 55.8439, 32.3048, None, '2000', None, 'Alve13.123', None, None),\n", - " ('CWISE J202934.80-791013.1', 307.3950501, -79.17033373, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J14012556-4033164', 210.35652, -40.554558, None, None, None, 'Reid08.1290', None, None),\n", - " ('ULAS J080918.41+212615.2', 122.3272, 21.4379, None, '2000', None, 'Burn13', None, None),\n", - " ('2MASS J05160945-0445499', 79.0393755, -4.763861, None, None, '0516-0445', 'Burg03.2487', None, None),\n", - " ('LHS 5303', 238.1859, -26.3871, None, '2000', None, 'Crif05', None, None),\n", - " ('WISEA J003338.45+282732.4', 8.4098, 28.4588, None, '2000', None, 'Schn16.112', None, None),\n", - " ('SDSSp J030321.24-000938.2', 45.8386, -0.1606, None, '2000', None, 'Schn02', None, None),\n", - " ('SDSS J144128.52+504600.4', 220.3688, 50.7669, None, '2000', None, 'Chiu06', None, None),\n", - " ('2MASS J04553267-2701493', 73.8862, -27.0304, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASSW J1338261+414034', 204.6089, 41.676, None, '2000', None, 'Kirk00', None, None),\n", - " ('CWISEP J203821.53-064930.9', 309.5897083333333, -6.82525, None, None, None, 'Meis20.74', None, None),\n", - " ('SDSS J084149.77+005844.6', 130.4574, 0.9791, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J00554279+1301043', 13.9283256, 13.0179339, None, None, None, 'Kirk10', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J14403029+1233344', 220.12604, 12.559419, None, None, None, 'Cruz07', None, None),\n", - " ('WISEA J023421.83+601227.3', 38.5893, 60.208, None, '2000', None, 'Kirk14', None, None),\n", - " ('ULAS J003716.06-005404.7', 9.3171, -0.9014, None, '2000', None, 'DayJ13', None, None),\n", - " ('WISE J181243.14+200746.4', 273.1798, 20.1295, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J20232858-5946519', 305.8691, -59.7811, None, '2000', None, 'Maro13', None, None),\n", - " ('WISEA J224128.33+043459.3', 340.3676, 4.5845, None, '2000', None, 'Kirk14', None, None),\n", - " ('2MASS J02132880+4444453', 33.3700005, 44.745917, None, None, '0213+4444', 'Cruz03', None, None),\n", - " ('SDSS J115013.17+052012.3', 177.555, 5.3369, None, '2000', None, 'Zhan09', None, None),\n", - " ('WISE J024714.52+372523.5', 41.8106, 37.4232, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J21403907+3655563', 325.1629, 36.9323, None, '2000', None, 'Kirk10', None, None),\n", - " ('2MASS J02484100-1651216', 42.1708458, -16.85602222, None, None, '0248-1651', 'Luyt79.2', None, None),\n", - " ('WISEPC J220922.10-273439.5', 332.342, -27.5778, None, '2000', None, 'Kirk11', None, None),\n", - " ('WISEA J082000.48-662211.9', 125.002, -66.37, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('ULAS J135322.83+283408.2', 208.3451, 28.5689, None, '2000', None, 'Card15', None, None),\n", - " ('2MASS J11220826-3512363', 170.5344, -35.2102, None, '2000', None, 'Tinn05.2326', None, None),\n", - " ('SDSS J105102.32+133346.9', 162.7598106, 13.5632197, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", - " ('SDSS J105213.51+442255.7', 163.0561, 44.3822, None, '2000', None, 'Chiu06', None, None),\n", - " ('2MASS J13580384+1458204', 209.516, 14.9723, None, '2000', None, 'Shep09', None, None),\n", - " ('2MASS J15470557-1626303', 236.77324, -16.441776, None, None, '1547-1625A', 'Gagn15.33', None, None),\n", - " ('WISE J1049-5319B', 162.329, -53.3192, 2000.0, 'J2000', None, 'Luhm13', None, None),\n", - " ('VHS J143311.46-083736.3', 218.2976, -8.6268, None, '2000', None, 'Lodi12.53', None, None),\n", - " ('ULAS J012855.07+063357.0', 22.2294, 6.5658, None, '2000', None, 'Burn13', None, None),\n", - " ('SDSS J141838.08+145522.4', 214.6589, 14.923, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WISE J023038.90-022554.0', 37.6612, -2.4319, None, '2000', None, 'Thom13', None, None),\n", - " ('2MASS J21555848+2345307', 328.9936, 23.7585, None, '2000', None, 'Kirk10', None, None),\n", - " ('SDSS J100844.64+470738.0', 152.186, 47.1274, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J03134443+0433165', 48.4352, 4.5546, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('SDSS J093237.47+672514.5', 143.1562, 67.4209, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('ULAS J134206.86+053724.9', 205.5288103, 5.6241134, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('ULAS J223347.82+002214.0', 338.4493, 0.3706, None, '2000', None, 'DayJ13', None, None),\n", - " ('WISEPC J121756.91+162640.2', 184.4872, 16.4445, None, '2000', None, 'Kirk11', None, None),\n", - " ('2MASS J03510004-0052452', 57.750083, -0.87940833, None, None, '0351-0052', 'Luyt79.5', None, None),\n", - " ('CWISE J153143.38-330657.3', 232.93075, -33.11591666666667, None, None, None, 'Kirk21', None, None),\n", - " ('2MASS J17312974+2721233', 262.873917, 27.356472, None, None, '1731+2721', 'Reid08.1290', None, None),\n", - " ('PSO J318.4243+35.1277', 318.4239, 35.128, None, '2000', None, 'Alle16', None, None),\n", - " ('ULAS J232600.40+020139.2', 351.5018, 2.0273, None, '2000', None, 'Burn13', None, None),\n", - " ('TrES-3', 268.029, 37.5462, 2000.0, 'J2000', None, 'ODon07', None, None),\n", - " ('ULAS J013017.79+080453.9', 22.5742, 8.0814, None, '2000', None, 'Burn13', None, None),\n", - " ('2MASS J23494899+1224386', 357.4542, 12.4107, None, '2000', None, 'Gizi00', None, None),\n", - " ('SDSS J122711.07+021349.1', 186.7961, 2.2302, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J140409.91+400214.0', 211.0411, 40.0372, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J10595185+3042059', 164.96604, 30.701639, None, None, '1059+3042', 'Shep09', None, None),\n", - " ('SDSS J172545.59+640501.2', 261.4397, 64.0836, None, '2000', None, 'Kell15', None, None),\n", - " ('WISE J190624.74+450807.1', 286.603125, 45.135611, None, None, '1906+4508', 'Kirk11', None, None),\n", - " ('Hya08', 74.6903, 12.2095, None, '2000', None, 'Lodi14.3908', None, None),\n", - " ('CWISE J013719.04+342837.6', 24.3293435, 34.4771182, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J11183877+2339488', 169.66155, 23.663563, None, None, None, 'Cruz03', None, None),\n", - " ('CFHT-IC 348-18', 56.2055, 32.1637, None, '2000', None, 'Alve13.123', None, None),\n", - " ('SSSPM J0306-3648', 46.5483, -36.798, None, '2000', None, 'Lodi05', None, None),\n", - " ('CWISEP J225628.97+400227.3', 344.12070833333325, 40.04091666666667, None, None, None, 'Meis20.74', None, None),\n", - " ('ULAS J094349.60+094203.4', 145.9566, 9.7012, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('SDSS J144635.65+164337.3', 221.6485, 16.7271, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J14345819-2335572', 218.7423, -23.5993, None, '2000', None, 'Ruiz01', None, None),\n", - " ('2MASS J03550477-1032415', 58.76989, -10.544882, None, None, '0355-1032', 'Cruz03', None, None),\n", - " ('2MASS J06022216+6336391', 90.5923335, 63.610861, None, None, '0602+6336', 'Reid08.1290', None, None),\n", - " ('WISEA J084254.56-061023.7', 130.7285, -6.1731, None, '2000', None, 'Grec19', None, None),\n", - " ('2MASS J00285545-1927165', 7.2310417, -19.454583, None, None, '0028-1927', 'Reid08.1290', None, None),\n", - " ...]" + "\n", + " source ... comments \n", + " str24 ... object \n", + "------------------------ ... -----------------------------------------\n", + " 2MASS J03552014+1439297 ... None\n", + " 1RXS J115928.5-524717 ... None\n", + "ULAS J114925.58-014343.2 ... None\n", + " DENIS-P J1756561-480509 ... None\n", + " PSO J024.4369+09.1360 ... Best20 lists discovery as Skrz16; Best20a\n", + "SDSS J161420.50+004643.6 ... None\n", + "SDSS J094903.15+264944.2 ... None\n", + "SDSS J083717.21-000018.0 ... None\n", + " 2MASS J06080232-2944590 ... None\n", + " 2MASS J09373487+2931409 ... None" ] }, - "execution_count": 6, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "db.query(db.Sources).all() " + "db.query(db.Sources).limit(10).table()" ] }, { @@ -1169,7 +199,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "id": "fd90f00d", "metadata": {}, "outputs": [ @@ -1185,7 +215,7 @@ "data": { "text/html": [ "
Table length=3145\n", - "
\n", + "
\n", "\n", "\n", "\n", @@ -1237,7 +267,7 @@ " [LDC2013] J160918.68-222923.9 ... None" ] }, - "execution_count": 7, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -1264,7 +294,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "id": "06145ba6", "metadata": {}, "outputs": [ @@ -1282,7 +312,7 @@ "data": { "text/html": [ "
Table length=3\n", - "
sourceradecepochequinoxshortnamereferenceother_referencescomments
str32float64float64objectobjectobjectstr11objectobject
1RXS J115928.5-524717179.864-52.7886None2000NoneHamb04.265NoneNone
\n", + "
\n", "\n", "\n", "\n", @@ -1300,7 +330,7 @@ "WISEPC J033349.34-585618.7 WISEPC J033349.34-585618.7" ] }, - "execution_count": 8, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -1319,7 +349,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "id": "b73b9b80", "metadata": {}, "outputs": [ @@ -1449,14 +479,12 @@ " \"reference\": \"Kirk11\"\n", " }\n", " ]\n", - "}\n", - "{'Sources': [{'source': 'WISEPC J033349.34-585618.7', 'ra': 53.4557, 'dec': -58.9384, 'epoch': None, 'equinox': '2000', 'shortname': None, 'reference': 'Kirk11', 'other_references': None, 'comments': None}], 'Names': [{'other_name': 'CWISE J033349.31-585619.8'}, {'other_name': 'VHS J033349.30-585620.2'}, {'other_name': 'WISEPC J033349.34-585618.7'}], 'Parallaxes': [{'parallax': 46.2, 'parallax_error': 3.7, 'adopted': True, 'comments': None, 'reference': 'Kirk21'}], 'Photometry': [{'band': 'IRAC.I1', 'magnitude': 13.59, 'magnitude_error': 0.02, 'telescope': 'Spitzer', 'epoch': None, 'comments': None, 'reference': 'Kirk11'}, {'band': 'IRAC.I2', 'magnitude': 13.3, 'magnitude_error': 0.02, 'telescope': 'Spitzer', 'epoch': None, 'comments': None, 'reference': 'Kirk11'}, {'band': 'VISTA.J', 'magnitude': 15.73, 'magnitude_error': 0.005, 'telescope': 'VISTA', 'epoch': None, 'comments': None, 'reference': 'McMa13'}, {'band': 'WISE.W1', 'magnitude': 14.037, 'magnitude_error': 0.017, 'telescope': 'WISE', 'epoch': None, 'comments': 'Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).', 'reference': 'Maro21'}, {'band': 'WISE.W2', 'magnitude': 13.313, 'magnitude_error': 0.013, 'telescope': 'WISE', 'epoch': None, 'comments': 'Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).', 'reference': 'Maro21'}, {'band': 'WISE.W3', 'magnitude': 12.22, 'magnitude_error': 0.225, 'telescope': 'WISE', 'epoch': None, 'comments': 'Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).', 'reference': 'Cutr13'}], 'ProperMotions': [{'mu_ra': -126.0, 'mu_ra_error': 8.0, 'mu_dec': -607.0, 'mu_dec_error': 7.0, 'adopted': False, 'comments': None, 'reference': 'Kirk11'}, {'mu_ra': -142.7, 'mu_ra_error': 3.8, 'mu_dec': -620.0, 'mu_dec_error': 3.4, 'adopted': True, 'comments': 'Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).', 'reference': 'Maro21'}], 'SpectralTypes': [{'spectral_type_string': 'T3', 'spectral_type_code': 83.0, 'spectral_type_error': None, 'regime': 'nir', 'adopted': None, 'photometric': None, 'comments': None, 'reference': 'Kirk11'}]}\n" + "}\n" ] } ], "source": [ - "data = db.inventory('WISEPC J033349.34-585618.7', pretty_print=True)\n", - "print(data) " + "data = db.inventory('WISEPC J033349.34-585618.7', pretty_print=True)" ] }, { @@ -1477,7 +505,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "147cb0e8", "metadata": {}, "outputs": [ @@ -1538,243 +566,74 @@ "2MASS J05341594-0631397 ... None\n", "2MASS J15392137+6502364 ... None\n", "2MASS J22490917+3205489 ... None\n", - "Length = 186 rows\n", - "Sources\n", - " source ra dec epoch equinox shortname \\\n", - "0 2MASS J15382417-1953116 234.600710 -19.886556 None None 1538-1953 \n", - "1 2MASS J00110940+5149236 2.789182 51.823257 None None 0011+5149 \n", - "2 2MASS J15063706+2759544 226.654210 27.998833 None None None \n", - "3 2MASS J05583706-1339123 89.654445 -13.653394 None None 0558-1339 \n", - "4 2MASS J23490528+1833150 357.272000 18.554167 None None 2349+1833 \n", - "5 2MASS J23202927+4123415 350.121670 41.394722 None None None \n", - "6 2MASS J22433237-1525260 340.884859 -15.423901 None None 2243-1525 \n", - "7 2MASS J12490458-3454080 192.269790 -34.902194 None None None \n", - "8 2MASS J23364145+4822480 354.172713 48.380024 None None 2336+4822 \n", - "9 2MASS J05574102-1333264 89.420954 -13.557334 None None None \n", - "10 2MASS J01581172+3232013 29.548833 32.533694 None None 0158+3231 \n", - "11 2MASS J17213581-0619145 260.398420 -6.321167 None None 1721-0619 \n", - "12 2MASS J02562362+2013457 44.098417 20.229361 None None 0256+2013 \n", - "13 2MASS J05151593-0656262 78.816375 -6.940611 None None 0515-0656 \n", - "14 2MASS J05574229-1333156 89.426209 -13.554361 None None None \n", - "15 2MASS J23153135+0617146 348.880659 6.287398 None None 2315+0617 \n", - "16 2MASS J23255604-0259508 351.483520 -2.997467 None None 2325-0259 \n", - "17 2MASS J02561474+1935213 44.061417 19.589250 None None 0256+1935 \n", - "18 2MASS J04214954+1528598 65.456417 15.483278 None None 0421+1528 \n", - "19 2MASS J08555320-0259207 133.971290 -2.989306 None None None \n", - "20 2MASS J22400942+3848306 340.039273 38.808510 None None 2240+3848 \n", - "21 2MASS J20151370-1252571 303.806920 -12.881389 None None None \n", - "22 2MASS J13570485-3946356 209.270208 -39.776556 None None 1357-3946 \n", - "23 2MASS J12475047-0152142 191.960334 -1.870752 None None 1247-0152 \n", - "\n", - " reference other_references comments \n", - "0 Cruz18 None None \n", - "1 Cruz18 None None \n", - "2 Cruz18 None galaxy \n", - "3 Cruz18 None None \n", - "4 Cruz18 None None \n", - "5 Cruz18 None None \n", - "6 Cruz18 None None \n", - "7 Cruz18 None galaxy \n", - "8 Cruz18 None None \n", - "9 Cruz18 None not M \n", - "10 Cruz18 None None \n", - "11 Cruz18 None None \n", - "12 Cruz18 None None \n", - "13 Cruz18 None None \n", - "14 Cruz18 None not M/galaxy \n", - "15 Cruz18 None None \n", - "16 Cruz18 None None \n", - "17 Cruz18 None None \n", - "18 Cruz18 None None \n", - "19 Cruz18 None giant \n", - "20 Cruz18 None None \n", - "21 Cruz18 None galaxy \n", - "22 Cruz18 None None \n", - "23 Cruz18 None None \n", - "Publications\n", - " reference bibcode doi \\\n", - "0 Cruz18 2018AJ....155...34C 10.3847/1538-3881/aa9d8a \n", - "\n", - " description \n", - "0 Meeting the Cool Neighbors XII: An Optically-A... \n", - "Spectra\n", - " source \\\n", - "0 2MASS J15382417-1953116 \n", - "1 2MASS J00011217+1535355 \n", - "2 2MASS J01443536-0716142 \n", - "3 2MASS J15311344+1641282 \n", - "4 2MASS J03101401-2756452 \n", - ".. ... \n", - "181 LP 655- 48 \n", - "182 2MASS J12312141+4959234 \n", - "183 2MASS J05341594-0631397 \n", - "184 2MASS J15392137+6502364 \n", - "185 2MASS J22490917+3205489 \n", - "\n", - " access_url original_spectrum \\\n", - "0 https://s3.amazonaws.com/bdnyc/optical_spectra... None \n", - "1 https://s3.amazonaws.com/bdnyc/nir_spectra/U20... None \n", - "2 https://s3.amazonaws.com/bdnyc/nir_spectra/U10... None \n", - "3 https://s3.amazonaws.com/bdnyc/nir_spectra/U11... None \n", - "4 https://s3.amazonaws.com/bdnyc/nir_spectra/U10... None \n", - ".. ... ... \n", - "181 https://s3.amazonaws.com/bdnyc/nir_spectra/U10... None \n", - "182 https://s3.amazonaws.com/bdnyc/nir_spectra/U11... None \n", - "183 https://s3.amazonaws.com/bdnyc/nir_spectra/j05... None \n", - "184 https://s3.amazonaws.com/bdnyc/nir_spectra/U20... None \n", - "185 https://s3.amazonaws.com/bdnyc/SpeX/Prism/U132... None \n", - "\n", - " local_spectrum regime telescope \\\n", - "0 $BDNYC_spectra/optical_spectra/2MASS1538-1953_... optical Keck I \n", - "1 $BDNYC_spectra/nir_spectra/U20001.fits nir IRTF \n", - "2 $BDNYC_spectra/nir_spectra/U10088.fits nir IRTF \n", - "3 $BDNYC_spectra/nir_spectra/U11343.fits nir IRTF \n", - "4 $BDNYC_spectra/nir_spectra/U10170_0310-2756.fits nir IRTF \n", - ".. ... ... ... \n", - "181 $BDNYC_spectra/nir_spectra/U10316.fits nir IRTF \n", - "182 $BDNYC_spectra/nir_spectra/U11076_1231+4959.fits nir IRTF \n", - "183 $BDNYC_spectra/nir_spectra/j0534-0631prismtc1.... nir IRTF \n", - "184 $BDNYC_spectra/nir_spectra/U20623.fits nir IRTF \n", - "185 $BDNYC_spectra/SpeX/Prism/U13209.fits nir IRTF \n", - "\n", - " instrument mode observation_date comments reference other_references \n", - "0 LRIS Missing 2010-07-17 None Cruz18 None \n", - "1 SpeX Prism 2003-09-03 None Cruz18 None \n", - "2 SpeX Prism 2004-11-08 None Cruz18 None \n", - "3 SpeX Prism 2003-09-04 None Cruz18 None \n", - "4 SpeX Prism 2011-12-08 None Cruz18 None \n", - ".. ... ... ... ... ... ... \n", - "181 SpeX Prism 2004-11-08 None Cruz18 None \n", - "182 SpeX Prism 2011-12-08 None Cruz18 None \n", - "183 SpeX Prism 2006-12-08 None Cruz18 None \n", - "184 SpeX Prism 2003-09-03 None Cruz18 None \n", - "185 SpeX Prism 2003-08-12 None Cruz18 None \n", - "\n", - "[186 rows x 12 columns]\n" + "Length = 186 rows\n" ] }, { "data": { "text/plain": [ - "{'Sources': source ra dec epoch equinox shortname \\\n", - " 0 2MASS J15382417-1953116 234.600710 -19.886556 None None 1538-1953 \n", - " 1 2MASS J00110940+5149236 2.789182 51.823257 None None 0011+5149 \n", - " 2 2MASS J15063706+2759544 226.654210 27.998833 None None None \n", - " 3 2MASS J05583706-1339123 89.654445 -13.653394 None None 0558-1339 \n", - " 4 2MASS J23490528+1833150 357.272000 18.554167 None None 2349+1833 \n", - " 5 2MASS J23202927+4123415 350.121670 41.394722 None None None \n", - " 6 2MASS J22433237-1525260 340.884859 -15.423901 None None 2243-1525 \n", - " 7 2MASS J12490458-3454080 192.269790 -34.902194 None None None \n", - " 8 2MASS J23364145+4822480 354.172713 48.380024 None None 2336+4822 \n", - " 9 2MASS J05574102-1333264 89.420954 -13.557334 None None None \n", - " 10 2MASS J01581172+3232013 29.548833 32.533694 None None 0158+3231 \n", - " 11 2MASS J17213581-0619145 260.398420 -6.321167 None None 1721-0619 \n", - " 12 2MASS J02562362+2013457 44.098417 20.229361 None None 0256+2013 \n", - " 13 2MASS J05151593-0656262 78.816375 -6.940611 None None 0515-0656 \n", - " 14 2MASS J05574229-1333156 89.426209 -13.554361 None None None \n", - " 15 2MASS J23153135+0617146 348.880659 6.287398 None None 2315+0617 \n", - " 16 2MASS J23255604-0259508 351.483520 -2.997467 None None 2325-0259 \n", - " 17 2MASS J02561474+1935213 44.061417 19.589250 None None 0256+1935 \n", - " 18 2MASS J04214954+1528598 65.456417 15.483278 None None 0421+1528 \n", - " 19 2MASS J08555320-0259207 133.971290 -2.989306 None None None \n", - " 20 2MASS J22400942+3848306 340.039273 38.808510 None None 2240+3848 \n", - " 21 2MASS J20151370-1252571 303.806920 -12.881389 None None None \n", - " 22 2MASS J13570485-3946356 209.270208 -39.776556 None None 1357-3946 \n", - " 23 2MASS J12475047-0152142 191.960334 -1.870752 None None 1247-0152 \n", - " \n", - " reference other_references comments \n", - " 0 Cruz18 None None \n", - " 1 Cruz18 None None \n", - " 2 Cruz18 None galaxy \n", - " 3 Cruz18 None None \n", - " 4 Cruz18 None None \n", - " 5 Cruz18 None None \n", - " 6 Cruz18 None None \n", - " 7 Cruz18 None galaxy \n", - " 8 Cruz18 None None \n", - " 9 Cruz18 None not M \n", - " 10 Cruz18 None None \n", - " 11 Cruz18 None None \n", - " 12 Cruz18 None None \n", - " 13 Cruz18 None None \n", - " 14 Cruz18 None not M/galaxy \n", - " 15 Cruz18 None None \n", - " 16 Cruz18 None None \n", - " 17 Cruz18 None None \n", - " 18 Cruz18 None None \n", - " 19 Cruz18 None giant \n", - " 20 Cruz18 None None \n", - " 21 Cruz18 None galaxy \n", - " 22 Cruz18 None None \n", - " 23 Cruz18 None None ,\n", - " 'Publications': reference bibcode doi \\\n", - " 0 Cruz18 2018AJ....155...34C 10.3847/1538-3881/aa9d8a \n", - " \n", - " description \n", - " 0 Meeting the Cool Neighbors XII: An Optically-A... ,\n", - " 'Spectra': source \\\n", - " 0 2MASS J15382417-1953116 \n", - " 1 2MASS J00011217+1535355 \n", - " 2 2MASS J01443536-0716142 \n", - " 3 2MASS J15311344+1641282 \n", - " 4 2MASS J03101401-2756452 \n", - " .. ... \n", - " 181 LP 655- 48 \n", - " 182 2MASS J12312141+4959234 \n", - " 183 2MASS J05341594-0631397 \n", - " 184 2MASS J15392137+6502364 \n", - " 185 2MASS J22490917+3205489 \n", - " \n", - " access_url original_spectrum \\\n", - " 0 https://s3.amazonaws.com/bdnyc/optical_spectra... None \n", - " 1 https://s3.amazonaws.com/bdnyc/nir_spectra/U20... None \n", - " 2 https://s3.amazonaws.com/bdnyc/nir_spectra/U10... None \n", - " 3 https://s3.amazonaws.com/bdnyc/nir_spectra/U11... None \n", - " 4 https://s3.amazonaws.com/bdnyc/nir_spectra/U10... None \n", - " .. ... ... \n", - " 181 https://s3.amazonaws.com/bdnyc/nir_spectra/U10... None \n", - " 182 https://s3.amazonaws.com/bdnyc/nir_spectra/U11... None \n", - " 183 https://s3.amazonaws.com/bdnyc/nir_spectra/j05... None \n", - " 184 https://s3.amazonaws.com/bdnyc/nir_spectra/U20... None \n", - " 185 https://s3.amazonaws.com/bdnyc/SpeX/Prism/U132... None \n", - " \n", - " local_spectrum regime telescope \\\n", - " 0 $BDNYC_spectra/optical_spectra/2MASS1538-1953_... optical Keck I \n", - " 1 $BDNYC_spectra/nir_spectra/U20001.fits nir IRTF \n", - " 2 $BDNYC_spectra/nir_spectra/U10088.fits nir IRTF \n", - " 3 $BDNYC_spectra/nir_spectra/U11343.fits nir IRTF \n", - " 4 $BDNYC_spectra/nir_spectra/U10170_0310-2756.fits nir IRTF \n", - " .. ... ... ... \n", - " 181 $BDNYC_spectra/nir_spectra/U10316.fits nir IRTF \n", - " 182 $BDNYC_spectra/nir_spectra/U11076_1231+4959.fits nir IRTF \n", - " 183 $BDNYC_spectra/nir_spectra/j0534-0631prismtc1.... nir IRTF \n", - " 184 $BDNYC_spectra/nir_spectra/U20623.fits nir IRTF \n", - " 185 $BDNYC_spectra/SpeX/Prism/U13209.fits nir IRTF \n", - " \n", - " instrument mode observation_date comments reference other_references \n", - " 0 LRIS Missing 2010-07-17 None Cruz18 None \n", - " 1 SpeX Prism 2003-09-03 None Cruz18 None \n", - " 2 SpeX Prism 2004-11-08 None Cruz18 None \n", - " 3 SpeX Prism 2003-09-04 None Cruz18 None \n", - " 4 SpeX Prism 2011-12-08 None Cruz18 None \n", - " .. ... ... ... ... ... ... \n", - " 181 SpeX Prism 2004-11-08 None Cruz18 None \n", - " 182 SpeX Prism 2011-12-08 None Cruz18 None \n", - " 183 SpeX Prism 2006-12-08 None Cruz18 None \n", - " 184 SpeX Prism 2003-09-03 None Cruz18 None \n", - " 185 SpeX Prism 2003-08-12 None Cruz18 None \n", - " \n", - " [186 rows x 12 columns]}" + "{'Sources':
sourceother_name
str26str26
WISEPC J033349.34-585618.7CWISE J033349.31-585619.8
\n", + " source ra ... other_references comments \n", + " str23 float64 ... object object \n", + " ----------------------- ------------- ... ---------------- ------------\n", + " 2MASS J15382417-1953116 234.60071 ... None None\n", + " 2MASS J00110940+5149236 2.789182 ... None None\n", + " 2MASS J15063706+2759544 226.65421 ... None galaxy\n", + " 2MASS J05583706-1339123 89.654445 ... None None\n", + " 2MASS J23490528+1833150 357.272 ... None None\n", + " 2MASS J23202927+4123415 350.12167 ... None None\n", + " 2MASS J22433237-1525260 340.884859 ... None None\n", + " 2MASS J12490458-3454080 192.26979 ... None galaxy\n", + " 2MASS J23364145+4822480 354.172713 ... None None\n", + " ... ... ... ... ...\n", + " 2MASS J05574229-1333156 89.426209 ... None not M/galaxy\n", + " 2MASS J23153135+0617146 348.880659 ... None None\n", + " 2MASS J23255604-0259508 351.48352 ... None None\n", + " 2MASS J02561474+1935213 44.0614166667 ... None None\n", + " 2MASS J04214954+1528598 65.4564166667 ... None None\n", + " 2MASS J08555320-0259207 133.97129 ... None giant\n", + " 2MASS J22400942+3848306 340.039273 ... None None\n", + " 2MASS J20151370-1252571 303.80692 ... None galaxy\n", + " 2MASS J13570485-3946356 209.270208333 ... None None\n", + " 2MASS J12475047-0152142 191.960334 ... None None,\n", + " 'Publications':
\n", + " reference ...\n", + " str6 ...\n", + " --------- ...\n", + " Cruz18 ...,\n", + " 'Spectra':
\n", + " source ... other_references\n", + " str24 ... object \n", + " ----------------------- ... ----------------\n", + " 2MASS J15382417-1953116 ... None\n", + " 2MASS J00011217+1535355 ... None\n", + " 2MASS J01443536-0716142 ... None\n", + " 2MASS J15311344+1641282 ... None\n", + " 2MASS J03101401-2756452 ... None\n", + " 2MASS J15515237+0941148 ... None\n", + " 2MASS J15515237+0941148 ... None\n", + " 2MASS J15515237+0941148 ... None\n", + " 2MASS J15515237+0941148 ... None\n", + " ... ... ...\n", + " 2MASS J21420580-3101162 ... None\n", + " 2MASS J00332386-1521309 ... None\n", + " 2MASS J13570485-3946356 ... None\n", + " 2MASS J12475047-0152142 ... None\n", + " 2MASS J22545194-2840253 ... None\n", + " LP 655- 48 ... None\n", + " 2MASS J12312141+4959234 ... None\n", + " 2MASS J05341594-0631397 ... None\n", + " 2MASS J15392137+6502364 ... None\n", + " 2MASS J22490917+3205489 ... None}" ] }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "db.search_string('Cruz18', fuzzy_search=False) # search for strings exactly matching Cruz19 anywhere in the database\n", - "db.search_string('Cruz18', fuzzy_search=False, fmt='pandas') # as above, but have each table as a pandas dataframe" + "db.search_string('Cruz18', fuzzy_search=False, fmt='astropy') #fmt options: pandas, astropy/table, default" ] }, { @@ -1787,7 +646,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 21, "id": "84eca441", "metadata": {}, "outputs": [ @@ -1795,40 +654,33 @@ "name": "stdout", "output_type": "stream", "text": [ - "\n" + "Query results with approximate coordinates (144.3, 29.5): 0\n", + "Table Results: \n", + " \n", + "The query returned an empty result because the coordinates aren't precise enough.\n", + "Try using more precise coordinates or increasing the search radius.\n", + "\n", + "Query results with precise coordinates (144.395292, 29.528028): 1\n", + "Table Results: \n", + " source ra dec ... other_references comments\n", + "----------------------- ---------- --------- ... ---------------- --------\n", + "2MASS J09373487+2931409 144.395292 29.528028 ... None None\n" ] - }, - { - "data": { - "text/html": [ - "
Table length=1\n", - "
\n", - "\n", - "\n", - "\n", - "
sourceradecepochequinoxshortnamereferenceother_referencescomments
str23float64float64objectobjectstr9str10objectobject
2MASS J09373487+2931409144.39529229.528028NoneNone0937+2931Burg02.421NoneNone
" - ], - "text/plain": [ - "\n", - " source ra dec ... other_references comments\n", - " str23 float64 float64 ... object object \n", - "----------------------- ---------- --------- ... ---------------- --------\n", - "2MASS J09373487+2931409 144.395292 29.528028 ... None None" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ "# An example of query wth an empty table\n", "incorrect_results = db.query_region(SkyCoord(144.3, 29.5, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec') # specifying the name of the table with coordinate information\n", - "print(incorrect_results) \n", + "print(f\"Query results with approximate coordinates (144.3, 29.5): {len(incorrect_results)}\")\n", + "print(f'Table Results: \\n {incorrect_results}')\n", + "print(\"The query returned an empty result because the coordinates aren't precise enough.\")\n", + "print(\"Try using more precise coordinates or increasing the search radius.\")\n", "\n", "# An example that queries the database correctly \n", "correct_results = db.query_region(SkyCoord(144.395292, 29.528028, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec') # specifying the name of the table with coordinate information\n", - "correct_results" + "correct_results\n", + "print(f\"\\nQuery results with precise coordinates (144.395292, 29.528028): {len(correct_results)}\")\n", + "print(f'Table Results: \\n {correct_results}')\n" ] }, { @@ -1837,1022 +689,61 @@ "metadata": {}, "source": [ "#### Have a more complex query? Let use astrodb_utils.sql_query to run a SQL query directly \n", - "##### astrodbkit has a functoin sql_query which allows you to add in specific functions without needing to write out all the sql commands yourself" + "##### AstrodbUtils's function sql_query acts as a wrapped for direct SQL queries, taking in two parameters: query (str), and fmt (str: pandas, astropy, defualt). " ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 32, "id": "60df2dd6", "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Query with multiple conditions, filtering sources with dec > 0 and ra < 200 degrees:\n", + "Showing the first 10 results out of 1334 sources:\n" + ] + }, { "data": { + "text/html": [ + "
Table length=10\n", + "
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sourceradecepochequinoxshortnamereferenceother_referencescomments
str24float64float64objectobjectobjectstr11objectobject
2MASS J03552014+143929758.8337514.658056NoneNoneNoneCruz07NoneNone
PSO J024.4369+09.136024.43729.1366None2000NoneSkrz16NoneBest20 lists discovery as Skrz16; Best20a
SDSS J094903.15+264944.2147.263326.8288None2000NoneSchm10.1808NoneNone
2MASS J09373487+2931409144.39529229.528028NoneNone0937+2931Burg02.421NoneNone
HIP 6407B20.57073.5232None2000NoneDeac14.119NoneNone
2MASS J11260310+4819256171.512848.3239None2000NoneKell15NoneNone
LHS 1937115.2783317.645833NoneNoneNoneLuyt79.5NoneNone
ULAS J095047.28+011734.3147.69711.2925None2000NoneBurn13NoneNone
2MASSI J1029216+162652157.340416.4477None2000NoneKirk00NoneNone
ULAS J115229.68+035927.3178.12353.9908None2000NoneScho12NoneBest20 lists discovery as Scho12; Burn13
" + ], "text/plain": [ - "[('1RXS J115928.5-524717', 179.864, -52.7886, None, '2000', None, 'Hamb04.265', None, None),\n", - " ('ULAS J114925.58-014343.2', 177.3569, -1.7287, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('DENIS-P J1756561-480509', 269.2342, -48.086, None, '2000', None, 'Phan08', None, None),\n", - " ('SDSS J161420.50+004643.6', 243.585, 0.7785, None, '2000', None, 'Hawl02', None, None),\n", - " ('SDSS J083717.21-000018.0', 129.3215835, -0.004972, None, None, '0837-0000', 'Legg00', None, None),\n", - " ('2MASS J06080232-2944590', 92.0097, -29.7497, None, '2000', None, 'Cruz03', None, None),\n", - " ('ULAS J133943.79+010436.4', 204.9326, 1.0768, None, '2000', None, 'Burn13', None, None),\n", - " ('2MASS J21481326-6323265', 327.0553, -63.3908, None, '2000', None, 'Maro13', None, None),\n", - " ('CWISEP J230158.30-645858.3', 345.4929166666666, -64.98286111111112, None, None, None, 'Meis20.74', None, None),\n", - " ('WISE J200403.17-263751.7', 301.013, -26.6293, None, '2000', None, 'Thom13', None, None),\n", - " ('VB 10', 289.2400917, 5.15060556, None, None, '1916+0508', 'vanB61', None, None),\n", - " ('2MASS J02495639-0557352', 42.485, -5.9598, None, '2000', None, 'Shko17', None, None),\n", - " ('IRAC J142950.8+333011', 217.4619, 33.5033, None, '2000', None, 'Ster07', None, None),\n", - " ('HIP 115819B', 351.9561, 4.8495, None, '2000', None, 'Deac14.119', None, None),\n", - " ('2MASS J15531993+1400337', 238.3327, 14.0094, None, '2000', None, 'Gizi00', None, None),\n", - " ('2MASS J07511645-2530432', 117.81854, -25.512, None, None, '0751-2530', 'Phan08', None, None),\n", - " ('DENIS J2139136-352950', 324.8069, -35.4974, None, '2000', None, 'Mart10', None, None),\n", - " ('SDSS J161731.65+401859.7', 244.3819, 40.3167, None, '2000', None, 'Chiu06', None, None),\n", - " ('2MASSW J1411175+393636', 212.8225, 39.6101, None, '2000', None, 'Kirk00', None, None),\n", - " ('CFBDS J193430.36-214221.0', 293.626, -21.7059, None, '2000', None, 'Delo08.469', None, None),\n", - " ('2MASSI J0421072-630602', 65.2799583, -63.100625, None, None, None, 'Missing', None, None),\n", - 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" ('2MASS J10212570-2830427', 155.35711, -28.511879, None, None, '1021-2830', 'Gagn15.73', None, None),\n", - " ('ULAS J153256.84-012511.0', 233.237, -1.4198, None, '2000', None, 'Maro15', None, None),\n", - " ('2MASS J16471580+5632057', 251.81496, 56.535611, None, None, '1647+5632', 'Kirk11', None, None),\n", - " ('2MASS J16184503-1321297', 244.6876245, -13.35825, None, None, '1618-1321', 'Kirk08', None, None),\n", - " ('2MASS J14351706-0147115', 218.8212141, -1.7865082, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('WISE J150406.66-455223.9', 226.0277, -45.8733, None, '2000', None, 'Thom13', None, None),\n", - " ('SSSPM J2307-5009', 346.7449, -50.1497, None, '2000', None, 'Lodi05', None, None),\n", - " ('SDSS J140441.68+023550.1', 211.1737, 2.5973, None, '2000', None, 'Hawl02', None, None),\n", - " ('2MASS J14580255-7850126', 224.51137, -78.849, None, None, None, 'Reid08.1290', None, None),\n", - " ('WISEA J030119.39-231921.1', 45.33, -23.3223, None, '2000', None, 'Grec19', None, None),\n", - " ('2MASSW J1326201-272937', 201.5836, -27.4936, None, '2000', None, 'Gizi02.484', None, None),\n", - " ('WISE J064336.71-022315.4', 100.9029, -2.387, None, '2000', None, 'Mama18', None, None),\n", - " ('WISE J173421.02+502349.9', 263.5883, 50.3966, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J04584239-3002061', 74.6767, -30.035, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('2MASS J15394442+7437273', 234.9352, 74.6243, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('CWISE J062727.34-002826.8', 96.8639415, -0.474135, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('WISEA J011639.05-165420.5', 19.1609, -16.9059, None, '2000', None, 'Schn16.112', None, None),\n", - " ('ULAS J105134.32-015449.8', 162.8929, -1.9138, None, '2000', None, 'Burn13', None, None),\n", - " ('SDSS J134329.01+131226.2', 205.87, 13.2072, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('ULAS J234716.99-011009.1', 356.821, -1.1693, None, '2000', None, 'DayJ13', None, None),\n", - " ('2MASS J06205212-1645415', 95.247208, -16.765472, None, None, None, 'Cruz03', None, None),\n", - " ('2MASS J02235464-5815067', 35.977667, -58.251861, None, None, '0223-5815', 'Reid08.1290', None, None),\n", - " ('CFBDS J145847.93+061402.8', 224.6996, 6.2341, None, '2000', None, 'Albe11', None, None),\n", - " ('SDSSp J164010.59+003721.8', 250.0435, 0.623, None, '2000', None, 'Schn02', None, None),\n", - " ('EQ J1542+2230', 235.5583362, 22.5014686, None, None, '1542+2230', 'Mace13.6', None, None),\n", - " ('SDSS J142241.28+234011.8', 215.6721, 23.67, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WISE J212321.92-261405.1', 320.8411, -26.2347, None, '2000', None, 'Mace13.6', None, None),\n", - " ('SDSS J005349.11-011354.4', 13.4546, -1.2319, None, '2000', None, 'Scho09', None, None),\n", - " ('2MASS J15500845+1455180', 237.535209, 14.921667, None, None, '1550+1455', 'Cruz07', None, None),\n", - " ('2MASS J15063706+2759544', 226.65421, 27.998833, None, None, None, 'Cruz18', None, 'galaxy'),\n", - " ('CD-33 7795B', 172.98083, -34.608056, None, None, '1131-3436B', 'Lowr99', None, None),\n", - " ('WISEA J003631.29-642735.6', 9.130374999999999, -64.4598888888889, None, None, None, 'Meis20.123', None, None),\n", - " ('EQ J2319-1844', 349.91304, -18.734528, None, None, '2319-1844', 'Kirk11', None, None),\n", - " ('2MASS J14032232+3007547', 210.8429, 30.1318, None, '2000', None, 'Gizi00', None, None),\n", - " ('Proxima Centauri', 217.4289, -62.6795, None, '2000', None, 'Inne15', None, None),\n", - " ('CWISEP J040235.55-265145.4', 60.64812499999999, -26.86261111111111, None, None, None, 'Meis20.74', None, None),\n", - " ('CFBDS J232620.21-025643.7', 351.584, -2.9452, None, '2000', None, 'Albe11', None, None),\n", - " ('2MASS J16195827-2832276', 244.9927, -28.5411, None, '2000', None, 'Daws14', None, None),\n", - " ('2MASS J07222760-0540384', 110.6149995, -5.677333, None, None, '0722-0540', 'Luca10', None, None),\n", - " ('2MASS J21501592-7520367', 327.5657, -75.3435, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('PSO J258.2413+06.7612', 258.2413, 6.7612, None, '2000', None, 'Best15', None, None),\n", - " ('SDSS J161459.98+400435.1', 243.7501, 40.0763, None, '2000', None, 'Zhan09', None, None),\n", - " ('2MASS J19495702+6222440', 297.4876, 62.3789, None, '2000', None, 'Kirk10', None, None),\n", - " ('LSPM J1351+5506', 207.869115, 55.1159574, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", - " ('CWISE J224452.18-362946.0', 341.2174357, -36.4961287, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J15462597+0317547', 236.60821, 3.298536, None, None, None, 'Reid08.1290', None, None),\n", - " ('USco J160714.79-232101.2', 241.8116, -23.3504, None, '2000', None, 'Lodi08', None, None),\n", - " ('2MASS J06195260-2903592', 94.9692, -29.0664, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J14573965+4517167', 224.4151, 45.288, None, '2000', None, 'Gizi00', None, None),\n", - " ('2MASS J22351658-3844154', 338.819118, -38.737617, None, None, '2235-3844', 'Gagn15.33', None, None),\n", - " ('PSO J255.0913+10.3263', 255.0914, 10.3264, None, None, None, 'Sang23', None, None),\n", - " ('2MASS J16272794+8105075', 246.8661, 81.0855, None, '2000', None, 'Gizi00', None, None),\n", - " ('CWISE J095259.54-505418.9', 148.2480941, -50.905256, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J16141557+8211327', 243.56458, 82.192222, None, None, None, 'Cruz03', None, None),\n", - " ('SDSS J145058.89+584116.5', 222.7454, 58.688, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J10452400-0149576', 161.3500005, -1.832667, None, None, '1045-0149', 'Gizi02.484', None, None),\n", - " ('WISEPC J032337.53-602554.9', 50.9066, -60.4318, None, '2000', None, 'Kirk11', None, None),\n", - " ('2MASS J15422494+5522451', 235.6039, 55.3792, None, '2000', None, 'Geis11', None, None),\n", - " ('2MASS J21340795+7132312', 323.5336202, 71.5421521, None, None, None, 'Kirk16', None, 'Discovery reference from the BONES archive'),\n", - " ('G 259-20B', 265.7852, 85.4499, None, '2000', None, 'Luhm12.152', None, None),\n", - " ('2MASS J15124058+3403501', 228.169455, 34.063917000000004, None, None, '1512+3403', 'Schm10.1808', None, None),\n", - " ('2MASS J02212859-6831400', 35.369125, -68.527778, None, None, '0221-6831', 'Reid08.1290', None, None),\n", - " ('WISEPC J232519.54-410534.9', 351.3315, -41.0931, None, '2000', None, 'Kirk11', None, None),\n", - " ('2MASS J12270506-0447207', 186.771, -4.7891, None, '2000', None, 'Burg07.494', None, None),\n", - " ('2MASS J22153705+2110554', 333.9045, 21.1821, None, '2000', None, 'Kell15', None, None),\n", - " ('ULAS J113151.32-003620.8', 172.9638, -0.6059, None, '2000', None, 'Maro15', None, None),\n", - " ('2MASS J22244381-0158521', 336.182541, -1.981139, None, None, '2224-0158', 'Kirk00', None, None),\n", - " ('2MASS J08503941-0221528', 132.6641425, -2.3646949, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", - " ('SDSS J134525.57+521634.0', 206.3566, 52.2761, None, '2000', None, 'Chiu06', None, None),\n", - " ('WISEP J235941.07-733504.8', 359.9213, -73.5847, None, '2000', None, 'Kirk11', None, None),\n", - " ('S Ori 60', 84.9063, -2.5116, None, '2000', None, 'Zapa00', None, None),\n", - " ('WISE J230133.32+021635.0', 345.3891, 2.2768, None, '2000', None, 'Mace13.6', None, None),\n", - " ('WISE J071301.84-585445.1', 108.2578, -58.9126, None, '2000', None, 'Tinn18', None, None),\n", - " ('CWISE J000021.45-481314.9', 0.0893808, -48.2208077, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J05575096-1359503', 89.462359, -13.997312, None, None, '0557-1359', 'Cruz07', None, None),\n", - " ('2MASS J08320822-7031003', 128.03425, -70.51675, None, None, None, 'Reid08.1290', None, None),\n", - " ('WISEA J232219.45-140726.2', 350.5799, -14.1233, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('2MASS J00345684-0706013', 8.7368333, -7.1003611, None, None, '0034-0706', 'Kend03', None, None),\n", - " ('2MASS J21495655+0603349', 327.4857, 6.0597, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('2MASSI J2057153+171515', 314.3144, 17.2545, None, '2000', None, 'Kirk00', None, None),\n", - " ('WISEA J212510.91-730758.8', 321.2954583333333, -73.133, None, None, None, 'Meis20.123', None, None),\n", - " ('WISEA J210529.08-623558.7', 316.3713, -62.5998, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('Usco J161031.9-191305B', 242.6347, -19.219, None, '2000', None, 'Krau09.1511', None, 'Best20 lists discovery as Krau09a; Alle13b'),\n", - " ('2MASS J15591135-2338002', 239.797, -23.6334, 2000.0, 'J2000', None, 'Ardi00', None, None),\n", - " ('2MASS J20391314-1126531', 309.80475, -11.44811, None, None, '2039-1126', 'Cruz03', None, None),\n", - " ('2MASS J13392651-1755053', 204.8605, -17.9182, None, '2000', None, 'Cruz03', None, None),\n", - " ('CWISE J055909.00-384219.8', 89.787502, -38.7055027, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J16490419+0444571', 252.2675, 4.7492, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('2MASS J03333313-3215181', 53.3881, -32.2551, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('2MASS J01215250-6855187', 20.468786, -68.921867, None, None, None, 'Cruz07', None, None),\n", - " ('2MASS J18432213+4040209', 280.84222, 40.672493, None, None, '1843+4040', 'Luyt79.5', None, None),\n", - " ('2MASS J17224432+6329470', 260.684667, 63.496389, None, None, '1722+6329', 'Hawl02', None, None),\n", - " ('2MASS J02304442-3027275', 37.6851, -30.4575, None, '2000', None, 'Kirk10', None, None),\n", - " ('2MASS J03320043-2317496', 53.0018, -23.2971, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('2MASS J03032042-7312300', 45.835083, -73.208333, None, None, '0303-7312', 'Kirk10', None, None),\n", - " ('2MASS J16382073+1327354', 249.5854, 13.4599, None, '2000', None, 'Kirk10', None, None),\n", - " ('ULAS J134403.78+083951.0', 206.0162, 8.664, None, '2000', None, 'Maro15', None, None),\n", - " ('ULAS J231557.61+132256.2', 348.9903, 13.3821, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('2MASS J04174743-2129191', 64.4477, -21.4886, None, '2000', None, 'Cruz07', None, None),\n", - " ('PSO J143.6774-29.8356', 143.6774, -29.8354, None, '2000', None, 'Best15', None, None),\n", - " ('DENIS-P J100428.3-114648', 151.1176, -11.7803, None, '2000', None, 'Mart99.107', None, None),\n", - " ('S Ori 61', 84.7195, -2.4789, None, '2000', None, 'Zapa00', None, None),\n", - " ('2MASS J00070787-2458042', 1.7827917, -24.967833, None, None, '0007-2458', 'Reyl04', None, None),\n", - " ('2MASS J09283972-1603128', 142.1655, -16.053556, None, None, '0928-1603', 'Kirk00', None, None),\n", - " ('2MASS J21574904-5534420', 329.454333, -55.578333, None, None, '2157-5534', 'Reid08.1290', None, None),\n", - " ('2MASS J04012977-4050448', 60.374042, -40.8458, None, None, '0401-4050', 'Reid08.1290', None, None),\n", - " ('2MASS J14044495+4634297', 211.18696, 46.57513, None, None, '1404+4634', 'Cruz07', None, None),\n", - " ('2MASSI J1534498-295227', 233.7077, -29.8744, None, '2000', None, 'Burg02.421', None, None),\n", - " ('ULAS J161938.12+300756.4', 244.9086, 30.1321, None, '2000', None, 'Burn13', None, None),\n", - " ('CWISE J101317.51-010313.6', 153.3229961, -1.0537976, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('WISE J221140.52-475826.5', 332.9189, -47.9741, None, '2000', None, 'Tinn18', None, None),\n", - " ('2MASSW J1750129+442404', 267.5538, 44.4012, None, '2000', None, 'Gizi00', None, None),\n", - " ('2MASS J04285096-2253227', 67.212292, -22.889639, None, None, '0428-2253', 'Kend03', None, None),\n", - " ('2MASS J21233110-2345186', 320.87958, -23.755, None, None, None, 'Cruz07', None, None),\n", - " ('2MASS J16161833+0540382', 244.07638, 5.67729, None, None, None, 'Reid08.1290', None, None),\n", - " ('PSO J054.8149-11.7792', 54.8149, -11.779, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J02192210-3925225', 34.842104, -39.422928, None, None, '0219-3925B', 'Arti15', None, None),\n", - " ('2MASS J08533619-0329321', 133.39308, -3.4953333, None, None, '0853-0329', 'Reid87', None, None),\n", - " ('NLTT 19109B', 122.9958, -8.9665, None, '2000', None, 'Deac14.119', None, None),\n", - " ('2MASS J05583706-1339123', 89.654445, -13.653394, None, None, '0558-1339', 'Cruz18', None, None),\n", - " ('SDSS J143645.25+310914.7', 219.1887896, 31.1541942, None, None, None, 'Lupi08', None, 'Discovery reference from the BONES archive'),\n", - " ('Ross 248', 355.4793, 44.1775, None, '2000', None, 'Ross26', None, None),\n", - " ('EQ J2239+1617', 339.906465, 16.287833, None, None, '2239+1617', 'Kirk11', None, None),\n", - " ('PSO J192.6717-21.8250', 192.6721, -21.8248, None, '2000', None, 'Best15', None, None),\n", - " ('HIP 65423B', 201.1458, -55.9569, None, '2000', None, 'Jans12', None, None),\n", - " ('SDSS J154628.38+253634.3', 236.6187, 25.6094, None, '2000', None, 'Zhan09', None, None),\n", - " ('2MASS J23464599+1129094', 356.6918, 11.486, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('WISE J191915.54+304558.4', 289.8154, 30.7669, None, '2000', None, 'Thom13', None, None),\n", - " ('ULAS J133553.45+113005.2', 203.97271, 11.501444, None, None, '1335+1130', 'Burn08', None, None),\n", - " ('2MASS J14263345-5229166', 216.6393, -52.488, None, '2000', None, 'Folk12', None, None),\n", - " ('GJ 758B', 290.8917, 33.222, None, '2000', None, 'Thal09', None, None),\n", - " ('2MASS J19561542-1754252', 299.06425, -17.907, None, None, '1956-1754', 'Kend07', None, None),\n", - " ('2MASS J06543675-7131217', 103.65317, -71.522472, None, None, None, 'Cruz03', None, None),\n", - " ('SDSS J16585026+1820006', 254.709737, 18.333275, None, None, '1658+1820', 'West08', None, None),\n", - " ('WISP 123242.42-003306.7', 188.1768, -0.5519, None, '2000', None, 'Mast12.14', None, None),\n", - " ('PSO J277.3873+26.0116', 277.3865, 26.0118, None, None, None, 'Sang23', None, None),\n", - " ('HD 4113 C', 10.8025, -37.9826306, None, None, None, 'Chee18', None, None),\n", - " ('SONYC-ChaI-1', 167.126, -77.5274, None, '2000', None, 'Muzi15', None, None),\n", - " ('2MASS J12171110-0311131', 184.2962505, -3.186972, None, None, '1217-0311', 'Burg99', None, None),\n", - " ('2MASS J14405684-2225149', 220.2367562, -22.420925, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", - " ('USco J155150.2-213457', 237.9591, -21.5825, None, '2000', None, 'Pena16', None, None),\n", - " ('2MASS J09555995-7342489', 148.9998, -73.7136, None, '2000', None, 'Folk12', None, None),\n", - " ('2MASS J14394298-1100430', 219.9290601, -11.0120408, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", - " ('WISE J203042.79+074934.7', 307.6764, 7.8266, None, '2000', None, 'Mace13.6', None, None),\n", - " ('SDSS J160510.15+042152.1', 241.2923, 4.3645, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J16241436+0029158', 246.0598335, 0.487722, None, None, '1624+0029', 'Stra99', None, None),\n", - " ('2MASS J10353492-0711479', 158.895517, -7.196647, None, None, None, 'Grec19', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J02411151-0326587', 40.297958, -3.4496389, None, None, '0241-0326', 'Cruz07', None, None),\n", - " ('PSO J085.1080-18.0445', 85.1085, -18.0443, None, '2000', None, 'Best20.257', None, None),\n", - " ('2MASS J17453466-1640538', 266.39442, -16.681611, None, None, '1745-1640', 'Phan08', None, None),\n", - " ('WISE J151314.61+401935.6', 228.3106, 40.3265, None, '2000', None, 'Thom13', None, None),\n", - " ('ULAS J143154.18-004114.3', 217.975761, -0.687308, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('SDSS J162124.66+274702.7', 245.3527, 27.7841, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WISE J173835.53+273259.0', 264.648045, 27.549694, None, None, '1738+2732', 'Cush11.50', None, None),\n", - " ('2MASS J04305157-0849007', 67.7149, -8.8169, None, '2000', None, 'Cruz03', None, None),\n", - " ('ULAS J232122.72-004557.3', 350.3442, -0.7659, None, '2000', None, 'DayJ13', None, None),\n", - " ('SDSS J144139.88+353809.5', 220.4162, 35.636, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J09130443-0733042', 138.2684, -7.5513, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J20343769+0827009', 308.657, 8.4503, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('SDSS J230722.58-005746.6', 346.844, -0.9629, None, '2000', None, 'Scho09', None, None),\n", - " ('PSO J321.1619+18.8243', 321.1612, 18.8241, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J13290099-4147133', 202.2542, -41.7871, None, '2000', None, 'Gizi02.484', None, None),\n", - " ('CWISE J002101.45-334631.5', 5.2560473, -33.7754218, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J04420071-1356232', 70.5335, -13.945694, None, None, None, 'Cruz03', None, None),\n", - " ('SDSS J140347.84+351313.1', 210.9482, 35.2204, None, '2000', None, 'West08', None, None),\n", - " ('DENIS-P J151450.1-225435', 228.70921, -22.909611, None, None, None, 'Kend04', None, None),\n", - " ('2MASS J08572787-0332396', 134.3661, -3.5444, None, '2000', None, 'Cruz03', None, None),\n", - " ('HD 44627B', 94.8039, -58.0542, None, None, '0619-5803b', 'Chau05', None, 'Companion to HD 44627 at the planet/brown dwarf boundary.'),\n", - " ('WISEA J171331.68+245000.9', 258.38199999999995, 24.833583333333333, None, None, None, 'Meis20.123', None, None),\n", - " ('1RXS J160929.1-210524B', 242.3763, -21.083, None, '2000', None, 'Lafr08', None, None),\n", - " ('HIP 38939B', 119.5057, -25.6499, None, '2000', None, 'Deac12.94', None, None),\n", - " ('DENIS-P J0823031-491201', 125.7631, -49.2004, None, '2000', None, 'Phan08', None, None),\n", - " ('2MASS J15394189-0520428', 234.9245415, -5.345222, None, None, '1539-0520', 'Kend04', None, None),\n", - " ('kappa And B', 355.1021, 44.3339, None, '2000', None, 'Cars13', None, None),\n", - " ('ULAS J142145.63+013619.0', 215.4401, 1.6053, None, '2000', None, 'Burn13', None, None),\n", - " ('HIP 65706B', 202.0872, 30.0552, None, '2000', None, 'Deac14.119', None, None),\n", - " ('SDSS J163030.53+434404.0', 247.6273, 43.7343, None, '2000', None, 'Knap04', None, None),\n", - " ('ULAS J135359.58+011856.7', 208.49827, 1.315773, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J06160532-4557080', 94.0221945, -45.952244, None, None, '0616-4557', 'Reid08.1290', None, None),\n", - " ('2MASS J13435275-3851385', 205.9698, -38.8607, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('SSSPM J2400-2008', 359.9902, -20.1279, None, '2000', None, 'Lodi05', None, None),\n", - " ('2MASS J17461199+5034036', 266.54996, 50.567672, None, None, '1746+5034', 'Reid08.1290', None, None),\n", - " ('PSO J159.0433-27.6357', 159.0434, -27.6349, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J03224622-7940595', 50.6926, -79.6832, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('PSO J261.2881+22.9269', 261.2882, 22.9269, None, '2000', None, 'Best15', None, None),\n", - " ('ULAS J020336.94-010231.1', 30.9039, -1.0421, None, '2000', None, 'Lodi07.1423', None, None),\n", - " ('GSC 06214-00210B', 245.4778, -20.7192, None, '2000', None, 'Irel11.113', None, None),\n", - " ('2MASS J23364395+2153388', 354.18333, 21.894167, None, None, '2336+2153', 'Luyt79.2', None, None),\n", - " ('WISEA J204218.13-082137.8', 310.576, -8.3596, None, '2000', None, 'Kirk14', None, None),\n", - " ('ULAS J232123.79+135454.9', 350.3488, 13.9166, None, '2000', None, 'Scho10.8', None, None),\n", - " ('CWISE J060202.17-462447.8', 90.509052, -46.4132863, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J21263403-3143224', 321.64179, -31.722778, None, None, None, 'Reid08.1290', None, None),\n", - " ('CWISE J143935.94-804851.5', 219.8997509, -80.8143328, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('CWISE J174426.85+230355.1', 266.1118811, 23.0653259, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('PSO J260.1623+61.7636', 260.1621, 61.763, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J22021125-1109461', 330.5469, -11.1629, None, '2000', None, 'Gizi00', None, None),\n", - " ('WISE J041358.14-475039.3', 63.4923, -47.8443, None, '2000', None, 'Mace13.6', None, None),\n", - " ('TVLM 513-8328', 228.5855, 23.6847, None, '2000', None, 'Tinn93.1045', None, None),\n", - " ('CFBDS J214139.77-033739.0', 325.4156, -3.6276, None, '2000', None, 'Albe11', None, None),\n", - " ('2MASS J23343945+1933041', 353.6642, 19.5511, None, '2000', None, 'Gizi00', None, None),\n", - " ('WISE J032517.69-385454.1', 51.3237, -38.915, None, '2000', None, 'Mace13.6', None, None),\n", - " ('SDSS J145658.17+070104.7', 224.2425, 7.0178, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J09211410-2104446', 140.3087505, -21.079056, None, None, '0921-2104', 'Reid08.1290', None, None),\n", - " ('2MASS J09342920-1352434', 143.6216, -13.8788, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J15423630-0045452', 235.651, -0.7628, None, '2000', None, 'Geis11', None, None),\n", - " ('CFBDS J203737.07-192202.9', 309.4047, -19.3673, None, '2000', None, 'Albe11', None, None),\n", - " ('PSO J359.8867-01.8651', 359.8868, -1.8647, None, '2000', None, 'Best15', None, None),\n", - " ('VHS J192934.18-442550.5', 292.3924, -44.4307, None, '2000', None, 'Lodi12.53', None, None),\n", - " ('WISEA J013012.66-104732.4', 22.5524, -10.7914, None, '2000', None, 'Schn16.112', None, None),\n", - " ('WISE J064528.38-030248.2', 101.3683, -3.0466, None, '2000', None, 'Tinn18', None, None),\n", - " ('2MASS J13341216-8226232', 203.5504, -82.4397, None, '2000', None, 'Kirk10', None, None),\n", - " ('2MASS J22191486-6828018', 334.8119, -68.4672, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('2MASS J23185497-1301106', 349.729, -13.0197, None, '2000', None, 'Maro13', None, None),\n", - " ('2MASS J00034227-2822410', 0.926125, -28.378056, None, None, '0003-2822', 'Cruz07', None, None),\n", - " ('CWISE J002159.02-451434.4', 5.4959547, -45.2428987, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('SDSS J152103.24+013142.7', 230.2635, 1.5285, None, '2000', None, 'Knap04', None, None),\n", - " ('ULAS J154701.84+005320.3', 236.7575, 0.8892, None, '2000', None, 'Pinf08', None, None),\n", - " ('2MASS J08293244-0238543', 127.3853, -2.6485, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J12474944-1117551', 191.9559, -11.2987, None, '2000', None, 'Kirk10', None, None),\n", - " ('PSO J280.2973+63.2600', 280.2976, 63.2596, None, '2000', None, 'Best15', None, None),\n", - " ('PSO J207.7496+29.4240', 207.75, 29.4243, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J2320292+412341', 350.1221, 41.3949, None, '2000', None, 'Bard14', None, None),\n", - " ('[BZR99] S Ori 70', 84.5420833, -2.6072222, None, None, None, 'Missing', None, None),\n", - " ('2MASS J23490528+1833150', 357.272, 18.5541666667, None, None, '2349+1833', 'Cruz18', None, None),\n", - " ('WISE J024124.73-365328.0', 40.3531, -36.8911, None, '2000', None, 'Kirk12', None, None),\n", - " ('ULAS J153108.89+060111.1', 232.787, 6.0199, None, '2000', None, 'Kend07.1059', None, None),\n", - " ('2MASS J09384022-2748184', 144.6677, -27.8051, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('2MASS J17320014+2656228', 263.0006, 26.9396, None, '2000', None, 'Kirk10', None, None),\n", - " ('PSO J323.1320+29.5308', 323.1314, 29.5303, None, '2000', None, 'Best20.257', None, None),\n", - " ('HIP 85365B', 261.5931, -5.0364, None, '2000', None, 'Deac14.119', None, None),\n", - " ('ULAS J092659.46-005611.1', 141.7478, -0.9366, None, '2000', None, 'Maro15', None, None),\n", - " ('WISEA J102313.22-315126.7', 155.8051, -31.8574, None, '2000', None, 'Tinn18', None, None),\n", - " ('CFBDS J022638.96-072831.8', 36.6623, -7.4755, None, '2000', None, 'Albe11', None, None),\n", - " ('2MASS J08561384-1342242', 134.0577, -13.706731, None, None, '0856-1342', 'Gagn15.33', None, None),\n", - " ('LEHPM 2-0783', 304.9576, -58.2786, None, '2000', None, 'Riaz06.866', None, None),\n", - " ('2MASS J05284435-3252228', 82.1848, -32.873, None, '2000', None, 'Cruz03', None, None),\n", - " ('WISP 130525.51-253828.8', 196.3563, -25.6413, None, '2000', None, 'Mast12.14', None, None),\n", - " ('2MASS J06154934-0100415', 93.95558, -1.01156, None, None, '0615-0100', 'Phan08', None, None),\n", - " ('2MASS J14075361+1241099', 211.9733745, 12.686083, None, None, '1407+1241', 'Reid08.1290', None, None),\n", - " ('SDSS J140403.24+445331.7', 211.0136, 44.8921, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J0249-0557 c', 42.4766, -5.9671, None, '2000', None, 'Dupu18', None, None),\n", - " ('SDSS J142227.25+221557.1', 215.6134, 22.2659, None, '2000', None, 'Chiu06', None, None),\n", - " ('LHS 3566', 309.8493, -29.443, None, '2000', None, 'Luyt79.2', None, None),\n", - " ('WISEA J222409.64-185242.1', 336.0395, -18.8775, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('PSO J291.2688+68.5310', 291.2722, 68.5311, None, '2000', None, 'Best15', None, None),\n", - " ('Gl 250B', 103.10537, -5.1918611, None, None, None, 'Missing', None, 'NIR M2.5 standard'),\n", - " ('2MASS J23512200+3010540', 357.841665, 30.181667, None, None, '2351+3010', 'Kirk10', None, None),\n", - " ('2MASS J09490860-1545485', 147.285834, -15.763472, None, None, '0949-1545', 'Tinn05.2326', None, None),\n", - " ('PM I22118-1005B', 332.9219, -10.1384, None, '2000', None, 'Deac14.119', None, None),\n", - " ('LHS 1367', 33.783417, -30.666972, None, None, None, 'Luyt79.5', None, None),\n", - " ('SDSS J214527.82-073434.1', 326.3667, -7.5764, None, '2000', None, 'West08', None, None),\n", - " ('CHXR 73B', 166.6198, -77.6259, None, '2000', None, 'Luhm06.894', None, None),\n", - " ('2MASS J04362054-4218523', 69.085583, -42.314544, None, None, '0436-4218', 'Reid08.1290', None, None),\n", - " ('2MASS J11074656-7615174', 166.944, -76.2548, 2000.0, 'J2000', None, 'Gome01', None, None),\n", - " ('2MASS J14521846+4826214', 223.07692, 48.439293, None, None, None, 'Cruz03', None, None),\n", - " ('2MASS J15123329-1032414', 228.17775, -10.561361, None, None, '1512-1032', 'Phan06', None, None),\n", - " ('LSPM J2331+4607N', 352.8253, 46.1252, None, '2000', None, 'Bard14', None, None),\n", - " ('ULAS J150547.89+070316.6', 226.4495, 7.0548, None, '2000', None, 'Pinf08', None, None),\n", - " ('2MASS J04173745-0800007', 64.406083, -8.000214, None, None, '0417-0800', 'Cruz03', None, None),\n", - " ('WISEA J213810.99+373312.9', 324.5457916666666, 37.55358333333333, None, None, None, 'Meis20.123', None, None),\n", - " ('2MASS J14135981-0457483', 213.4991, -4.9635, None, '2000', None, 'Cruz03', None, None),\n", - " ('ULAS J101658.05-013258.0', 154.242, -1.5494, None, '2000', None, 'Maro15', None, None),\n", - " ('2MASS J16452207+3004071', 251.34196, 30.068639, None, None, '1645+3004', 'Cruz07', None, None),\n", - " ('SDSS J131822.82-011150.1', 199.595082, -1.197249, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", - " ('WISEA J004206.84-584023.9', 10.5285, -58.6733, None, '2000', None, 'Tinn18', None, None),\n", - " ('WISE J033605.05-014350.4', 54.020859, -1.732166, 2014.0, None, '0336-0143', 'Mace13.6', None, None),\n", - " ('2MASS J14351087-2333025', 218.7952, -23.5507, None, '2000', None, 'Luhm12.152', None, None),\n", - " ('SDSS J141126.20+200911.1B', 212.8593, 20.1531, None, '2000', None, 'Litt14', None, None),\n", - " ('CWISE J014837.51-104805.6', 27.156291666666664, -10.801555555555556, None, None, None, 'Kirk21', None, None),\n", - " ('LP 44-162', 269.3142, 70.7003, None, '2000', None, 'Gizi00', None, None),\n", - " ('2MASSW J1412244+163312', 213.102, 16.5533, None, '2000', None, 'Kirk00', None, None),\n", - " ('2MASS J14582453+2839580', 224.6022, 28.6661, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('WISE J061135.13-041024.0', 92.8963755, -4.173333, None, None, '0611-0410AB', 'Kirk11', None, None),\n", - " ('WISE J231921.92+764544.4', 349.8389, 76.7622, None, '2000', None, 'Cast16', None, None),\n", - " ('2MASS J02550357-4700509', 43.7648745, -47.014139, None, None, '0255-4700', 'Mart99.107', None, None),\n", - " ('SDSS J140909.45+432750.0', 212.2894, 43.4639, None, '2000', None, 'West08', None, None),\n", - " ('ULAS J154319.80+080446.3', 235.8327, 8.0794, None, '2000', None, 'Maro15', None, None),\n", - " ('ULAS J225649.51+005452.5', 344.2062, 0.9148, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('PSO J282.5878+34.7691', 282.5878, 34.7691, None, '2000', None, 'Best15', None, None),\n", - " ('ROXs 42Bb', 247.8126, -24.5455, None, '2000', None, 'Curr14.30', None, 'Best20 lists discovery as Curr14a; Krau14a'),\n", - " ('WISEA J131211.10-761740.9', 198.0461, -76.2947, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('UGCS J160956.34-222245.6', 242.4848, -22.3792, None, '2000', None, 'Lodi08', None, None),\n", - " ('HD 984 B', 3.5427, -7.1991, None, '2000', None, 'Mesh15.2378', None, None),\n", - " ('EQ J2348-1028', 357.171255, -10.479, None, None, '2348-1028', 'Kirk11', None, None),\n", - " ('WISEA J230930.58+145633.1', 347.3774166666666, 14.942527777777778, None, None, None, 'Meis20.123', None, None),\n", - " ('2MASS J22362452+4751425 b', 339.1022, 47.8618, None, '2000', None, 'Bowl17.18', None, None),\n", - " ('2MASS J18544597+8429470', 283.60658, 84.499722, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASS J10595138-2113082', 164.964084, -21.218944, None, None, '1059-2113', 'Cruz03', None, None),\n", - " ('2MASS J21543454-1055308', 328.643928, -10.925234, None, None, '2154-1055', 'Gagn14.17', None, None),\n", - " ('HD 130948B', 222.566667, 23.911611, None, None, None, 'Dupu09.729', 'Pott22', None),\n", - " ('2MASS J04510093-3402150', 72.753833, -34.0375, None, None, '0451-3402', 'Cruz03', None, None),\n", - " ('2MASS J20334473-5635338', 308.436414, -56.592735, None, None, '2033-5635', 'Gagn15.33', None, None),\n", - " ('SDSS J141858.92+600018.8', 214.7454, 60.0053, None, '2000', None, 'West08', None, None),\n", - " ('CWISE J205247.07+053855.7', 313.196131, 5.6488179, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('CD-35 2722b', 92.33, -35.8255, None, None, '0609-3549b', 'Wahh11', None, None),\n", - " ('DENIS-P J0716478-063037', 109.1996, -6.5103, None, '2000', None, 'Phan08', None, None),\n", - " ('PSO J227.1576-07.9608', 227.1577, -7.9605, None, None, None, 'Sang23', None, None),\n", - " ('ULAS J141203.85+121609.9', 213.0165, 12.2694, None, '2000', None, 'Maro15', None, None),\n", - " ('PSO J089.1751-09.4513', 89.1754, -9.4509, None, '2000', None, 'Best20.257', None, None),\n", - " ('2MASS J23520507-1100435', 358.021136, -11.012096, None, None, '2352-1100', 'Cruz07', None, None),\n", - " ('SDSS J212413.89+010000.3', 321.0579, 0.9999, None, '2000', None, 'Knap04', None, None),\n", - " ('SDSS J154914.17+502235.8', 237.3087, 50.3765, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J01460119-4545263', 26.5048, -45.7573, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('SDSS J134515.81-025514.4', 206.316, -2.9206, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J21324036+1029494', 323.168171, 10.497078, None, None, '2132+1029', 'Chiu06', None, None),\n", - " ('SDSS J140633.18+360449.3', 211.6376, 36.0803, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J01090150-5100494', 17.2562505, -51.013722, None, None, '0109-5100', 'Lodi02', None, None),\n", - " ('2MASS J17343053-1151388', 263.6272, -11.8608, None, '2000', None, 'Kirk10', None, None),\n", - " ('SIPS J0058-0651', 14.677208, -6.8566389, None, None, '0058-0651', 'Kirk00', None, None),\n", - " ('WISEA J042449.21-595905.6', 66.2051, -59.9849, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('LP 44-334', 280.0098, 72.6817, None, '2000', None, 'Reid04', None, None),\n", - " ('NLTT 38489B', 222.1936, 56.1822, None, '2000', None, 'Deac14.119', None, None),\n", - " ('2MASS J19170993+7755597', 289.2914, 77.9333, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('WISE J113949.24-332425.1', 174.9552, -33.4071, None, '2000', None, 'Thom13', None, None),\n", - " ('SDSS J155120.86+432930.3', 237.837, 43.4917, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J23361644+1835004', 354.06852, 18.583447, None, None, None, 'Cruz03', None, None),\n", - " ('SDSS J132715.21+075937.5', 201.8136, 7.9938, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WASP-103b', 249.315, 7.18337, 2000.0, 'J2000', None, 'Cole14', None, None),\n", - " ('LHS 2930', 217.6575, 59.7236, None, '2000', None, 'Prob83', None, None),\n", - " ('2MASS J11112820-2655027', 167.8675, -26.9174, None, '2000', None, 'Gagn17.18', None, None),\n", - " ('2MASS J23202927+4123415', 350.12167, 41.394722, None, None, None, 'Cruz18', None, None),\n", - " ('NLTT 55219B', 343.6182, 22.0486, None, '2000', None, 'Deac14.119', None, None),\n", - " ('2MASSW J0832045-012835', 128.0188, -1.4767, None, '2000', None, 'Kirk00', None, None),\n", - " ('2MASS J03144011-0450316', 48.6671, -4.8422, None, '2000', None, 'Cruz03', None, None),\n", - " ('ULAS J141520.66+041647.1', 213.8361, 4.2798, None, '2000', None, 'Card15', None, None),\n", - " ('SDSS J002209.31-011040.2', 5.5388, -1.1778, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J17380025+8505130', 264.39525, 85.086194, None, None, None, 'Reid08.1290', None, None),\n", - " ('HR 8799b', 346.8696, 21.1343, None, '2000', None, 'Maro08', None, None),\n", - " ('LHS 1074', 6.4634, -7.8022, None, '2000', None, 'Reid05', None, None),\n", - " ('SDSS J162838.35+625945.7', 247.1597, 62.996, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J11335700-7807240', 173.4875, -78.1233, None, '2000', None, 'Luhm07.104', None, None),\n", - " ('SDSS J154502.87+061807.8', 236.2621, 6.3022, None, '2000', None, 'Zhan09', None, None),\n", - " ('CFBDS J025805.92-145534.3', 44.5248, -14.9262, None, '2000', None, 'Albe11', None, None),\n", - " ('WISE J140533.32+835030.5', 211.4052, 83.8402, None, '2000', None, 'Cast13', None, None),\n", - " ('SDSS J170316.71+190636.0', 255.8197, 19.11, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J140601.47+524931.0', 211.5063, 52.8252, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J152324.45-021133.8', 230.8519, -2.1927, None, '2000', None, 'West08', None, None),\n", - " ('WISE J170745.85-174452.5', 256.9404, -17.7479, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J20575409-0252302', 314.475375, -2.875056, None, None, '2057-0252', 'Cruz03', None, None),\n", - " ('2MASS J19285196-4356256', 292.2165, -43.940444, None, None, '1928-4356', 'Reid08.1290', None, None),\n", - " ('EQ J0223-2932', 35.843292, -29.549472, None, None, '0223-2932', 'Kirk11', None, None),\n", - " ('2MASS J04453237-3642258', 71.3848, -36.7071, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J02103857-3015313', 32.6607084, -30.25869444, None, None, '0210-3015', 'Gagn15.33', None, None),\n", - " ('2MASS J02540582-1934523', 43.566542, -19.568472, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASS J15072779-2000431', 226.8659, -20.012, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J13464634-0031501', 206.6930835, -0.530583, None, None, '1346-0031', 'Tsve00', None, None),\n", - " ('PSO J239.7016-23.2664', 239.7016, -23.2665, None, '2000', None, 'Best17.95', None, None),\n", - " ('2MASS J23440624-0733282', 356.0260005, -7.557833, None, None, '2344-0733', 'Kirk08', None, None),\n", - " ('2MASS J12563961-2718455', 194.165047, -27.31266, None, None, '1256-2718', 'Gagn15.33', None, None),\n", - " ('2MASS J21324898-1452544', 323.2041, -14.8818, None, '2000', None, 'Maro13', None, None),\n", - " ('ULAS J095829.86-003932.0', 149.6236, -0.6572, None, '2000', None, 'Pinf08', None, None),\n", - " ('PSO J005.6302-06.8669', 5.6307, -6.8671, None, '2000', None, 'Best20.257', None, None),\n", - " ('WISEA J144033.28-080406.9', 220.138, -8.068, None, '2000', None, 'Schn16.112', None, None),\n", - " ('LP 851-346', 178.9285, -22.4163, None, '2000', None, 'Crif05', None, None),\n", - " ('SIPS J0614-2019', 93.5499, -20.3218, None, '2000', None, 'Deac07', None, None),\n", - " ('PSO J136.5494-06.1944', 136.5493, -6.1944, None, '2000', None, 'Best15', None, None),\n", - " ('CWISE J233531.55+014219.6', 353.8814851, 1.7054667, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('WISEPA J174124.26+255319.5', 265.3522, 25.893, None, '2000', None, 'Kirk11', None, 'Best20 lists discovery as Kirk11; Scho11'),\n", - " ('NLTT 35593B', 208.6462, -6.126, None, '2000', None, 'Deac14.119', None, None),\n", - " ('WISEA J195311.04-022954.7', 298.2965, -2.4974, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('2MASS J01344601-5707564', 23.6918, -57.1323, None, '2000', None, 'Krau14.146', None, None),\n", - " ('PSO J244.6801+08.7185', 244.68, 8.7186, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J21363029+0515329', 324.12622, 5.259139, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASS J10513331-1916530', 162.8884, -19.2815, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('LP 440-52', 219.75129165, 18.66069444, None, None, '1439+1839', 'Lieb79', None, None),\n", - " ('ULAS J141623.94+134836.3', 214.100355, 13.807318, None, None, '1416+1348B', 'Burn10.1952', None, None),\n", - " ('WISEA J032811.00-422321.6', 52.04583333333333, -42.38933333333333, None, None, None, 'Meis20.123', None, None),\n", - " ('SDSS J144804.97+060802.3', 222.021, 6.1335, None, '2000', None, 'West08', None, None),\n", - " ('CWISE J112106.36-623221.5', 170.27649999999997, -62.53930555555555, None, None, None, 'Kirk21', None, None),\n", - " ('2MASSI J2252014-181558', 343.0063, -18.2665, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASSI J1332286+263508', 203.1183, 26.5857, None, '2000', None, 'Kirk00', None, None),\n", - " ('ULAS J234827.94+005220.5', 357.1167, 0.8724, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('SDSS J134322.51-030100.2', 205.8438, -3.0168, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('SDSS J143317.78+101123.3B', 218.3241, 10.1899, None, '2000', None, 'Litt08', None, 'Best20 lists discovery as Litt08; Litt13'),\n", - " ('2MASS J04082905-1450334', 62.121042, -14.842611, None, None, '0408-1450', 'Wils03', None, None),\n", - " ('SDSS J154849.02+172235.4', 237.2046, 17.3766, None, '2000', None, 'Chiu06', None, None),\n", - " ('WISEPC J150649.97+702736.0', 226.7185, 70.457, None, '2000', None, 'Kirk11', None, None),\n", - " ('2MASS J14193867-3136519', 214.9111, -31.6144, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('2MASS J12172372-0237369', 184.3489, -2.6269, None, '2000', None, 'Geis11', None, None),\n", - " ('WISE J173859.27+614242.1', 264.7469, 61.7117, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J18462188-5706040', 281.5911, -57.1011, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('beta Pic b', 86.82118, -51.06652, None, None, None, 'Lagr10', None, None),\n", - " ('2MASS J22433237-1525260', 340.884859, -15.423901, None, None, '2243-1525', 'Cruz18', None, None),\n", - " ('ULAS J220917.12-005259.9', 332.3215, -0.8831, None, '2000', None, 'DayJ13', None, None),\n", - " ('WISEP J190648.47+401106.8', 286.7003, 40.1857, None, '2000', None, 'Gizi11.34', None, None),\n", - " ('2MASS J12490458-3454080', 192.26979, -34.902194, None, None, None, 'Cruz18', None, 'galaxy'),\n", - " ('2MASS J15074769-1627386', 226.9487085, -16.460722, None, None, '1507-1627', 'Reid00', None, None),\n", - " ('2MASS J15551573-0956055', 238.8155415, -9.934861, None, None, '1555-0956', 'Gizi02.484', None, None),\n", - " ('ULAS J223728.91+064220.1', 339.3704, 6.7056, None, '2000', None, 'Burn13', None, None),\n", - " ('SDSS J134224.93+603731.4', 205.6038, 60.6254, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J21522609+0937575', 328.1087085, 9.632639, None, None, '2152+0937', 'Reid08.1290', None, None),\n", - " ('ULAS J225114.89-000724.4', 342.8121, -0.1234, None, '2000', None, 'DayJ13', None, None),\n", - " ('2MASS J17125121-0507249', 258.214, -5.1261, None, None, '1712-0507B', 'Schn11', None, None),\n", - " ('PSO J028.0715-15.5717', 28.0714, -15.5714, None, None, None, 'Sang23', None, None),\n", - " ('CWISE J202934.80-791013.1', 307.3950501, -79.17033373, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J14012556-4033164', 210.35652, -40.554558, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASS J05160945-0445499', 79.0393755, -4.763861, None, None, '0516-0445', 'Burg03.2487', None, None),\n", - " ('LHS 5303', 238.1859, -26.3871, None, '2000', None, 'Crif05', None, None),\n", - " ('SDSSp J030321.24-000938.2', 45.8386, -0.1606, None, '2000', None, 'Schn02', None, None),\n", - " ('SDSS J144128.52+504600.4', 220.3688, 50.7669, None, '2000', None, 'Chiu06', None, None),\n", - " ('2MASS J04553267-2701493', 73.8862, -27.0304, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASSW J1338261+414034', 204.6089, 41.676, None, '2000', None, 'Kirk00', None, None),\n", - " ('CWISEP J203821.53-064930.9', 309.5897083333333, -6.82525, None, None, None, 'Meis20.74', None, None),\n", - " ('2MASS J14403029+1233344', 220.12604, 12.559419, None, None, None, 'Cruz07', None, None),\n", - " ('ULAS J003716.06-005404.7', 9.3171, -0.9014, None, '2000', None, 'DayJ13', None, None),\n", - " ('WISE J181243.14+200746.4', 273.1798, 20.1295, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J20232858-5946519', 305.8691, -59.7811, None, '2000', None, 'Maro13', None, None),\n", - " ('WISEA J224128.33+043459.3', 340.3676, 4.5845, None, '2000', None, 'Kirk14', None, None),\n", - " ('2MASS J21403907+3655563', 325.1629, 36.9323, None, '2000', None, 'Kirk10', None, None),\n", - " ('2MASS J02484100-1651216', 42.1708458, -16.85602222, None, None, '0248-1651', 'Luyt79.2', None, None),\n", - " ('WISEPC J220922.10-273439.5', 332.342, -27.5778, None, '2000', None, 'Kirk11', None, None),\n", - " ('WISEA J082000.48-662211.9', 125.002, -66.37, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('ULAS J135322.83+283408.2', 208.3451, 28.5689, None, '2000', None, 'Card15', None, None),\n", - " ('2MASS J11220826-3512363', 170.5344, -35.2102, None, '2000', None, 'Tinn05.2326', None, None),\n", - " ('2MASS J13580384+1458204', 209.516, 14.9723, None, '2000', None, 'Shep09', None, None),\n", - " ('2MASS J15470557-1626303', 236.77324, -16.441776, None, None, '1547-1625A', 'Gagn15.33', None, None),\n", - " ('WISE J1049-5319B', 162.329, -53.3192, 2000.0, 'J2000', None, 'Luhm13', None, None),\n", - " ('VHS J143311.46-083736.3', 218.2976, -8.6268, None, '2000', None, 'Lodi12.53', None, None),\n", - " ('SDSS J141838.08+145522.4', 214.6589, 14.923, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WISE J023038.90-022554.0', 37.6612, -2.4319, None, '2000', None, 'Thom13', None, None),\n", - " ('2MASS J21555848+2345307', 328.9936, 23.7585, None, '2000', None, 'Kirk10', None, None),\n", - " ('ULAS J134206.86+053724.9', 205.5288103, 5.6241134, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('ULAS J223347.82+002214.0', 338.4493, 0.3706, None, '2000', None, 'DayJ13', None, None),\n", - " ('2MASS J03510004-0052452', 57.750083, -0.87940833, None, None, '0351-0052', 'Luyt79.5', None, None),\n", - " ('CWISE J153143.38-330657.3', 232.93075, -33.11591666666667, None, None, None, 'Kirk21', None, None),\n", - " ('2MASS J17312974+2721233', 262.873917, 27.356472, None, None, '1731+2721', 'Reid08.1290', None, None),\n", - " ('PSO J318.4243+35.1277', 318.4239, 35.128, None, '2000', None, 'Alle16', None, None),\n", - " ('ULAS J232600.40+020139.2', 351.5018, 2.0273, None, '2000', None, 'Burn13', None, None),\n", - " ('TrES-3', 268.029, 37.5462, 2000.0, 'J2000', None, 'ODon07', None, None),\n", - " ('2MASS J23494899+1224386', 357.4542, 12.4107, None, '2000', None, 'Gizi00', None, None),\n", - " ('SDSS J140409.91+400214.0', 211.0411, 40.0372, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J172545.59+640501.2', 261.4397, 64.0836, None, '2000', None, 'Kell15', None, None),\n", - " ('WISE J190624.74+450807.1', 286.603125, 45.135611, None, None, '1906+4508', 'Kirk11', None, None),\n", - " ('SSSPM J0306-3648', 46.5483, -36.798, None, '2000', None, 'Lodi05', None, None),\n", - " ('CWISEP J225628.97+400227.3', 344.12070833333325, 40.04091666666667, None, None, None, 'Meis20.74', None, None),\n", - " ('SDSS J144635.65+164337.3', 221.6485, 16.7271, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J14345819-2335572', 218.7423, -23.5993, None, '2000', None, 'Ruiz01', None, None),\n", - " ('2MASS J03550477-1032415', 58.76989, -10.544882, None, None, '0355-1032', 'Cruz03', None, None),\n", - " ('WISEA J084254.56-061023.7', 130.7285, -6.1731, None, '2000', None, 'Grec19', None, None),\n", - " ('2MASS J00285545-1927165', 7.2310417, -19.454583, None, None, '0028-1927', 'Reid08.1290', None, None),\n", - " ('HR 6037Bab', 244.2681, -67.9406, None, '2000', None, 'Huel10', None, None),\n", - " ('2MASS J16062665+6837268', 241.611, 68.6241, None, '2000', None, 'Fahe09', None, None),\n", - " ('LP 397-10', 319.0263, 22.6462, None, '2000', None, 'Cruz02', None, None),\n", - " ('2MASS J23461707+1805516', 356.61546, 18.121361, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASS J03164512-2848521', 49.187958, -28.814469, None, None, '0316-2848', 'Cruz03', None, None),\n", - " ('2MASS J16403197+1231068', 250.1331, 12.5185, None, '2000', None, 'Burg04.2856', None, None),\n", - " ('TVLM 513-42404B', 225.5888, 25.4344, None, '2000', None, 'Tinn93.279', None, None),\n", - " ('SDSS J154951.39+490450.1', 237.4638, 49.0807, None, '2000', None, 'West08', None, None),\n", - " ('SSSPM J1013-1356', 153.2809, -13.9428, None, None, '1013-1356', 'Scho04.519', None, None),\n", - " ('CFBDS J145829.00+101343.0B', 224.6208333333333, 10.22861111111111, None, None, None, 'Delo10', None, None),\n", - " ('ULAS J090116.23-030635.0', 135.31763, -3.1098194, None, None, '0901-0306', 'Lodi07.1423', None, None),\n", - " ('2MASS J17281150+3948593', 262.0479165, 39.816472, None, None, '1728+3948', 'Kirk00', None, None),\n", - " ('SIPS J2346-5928', 356.6107, -59.4785, None, '2000', None, 'Deac07', None, None),\n", - " ('SDSS J132937.22+035729.6', 202.4051, 3.9582, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J12545393-0122474', 193.724709, -1.379833, None, None, '1254-0122', 'Legg00', None, None),\n", - " ('2MASS J17445715+3747109', 266.23814, 37.786373, None, None, None, 'Cruz03', None, None),\n", - " ('2MASS J03182597-3708118', 49.6083, -37.1366, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('WASP-4b', 353.563, -42.0614, 2000.0, 'J2000', None, 'Wils08', None, None),\n", - " ('ULAS J161436.96+244230.1', 243.6539, 24.7084, None, '2000', None, 'Burn13', None, None),\n", - " ('DENIS-P J1454078-660447', 223.5332, -66.0798, None, '2000', None, 'Phan08', None, None),\n", - " ('2MASS J21075409-4544064', 316.9753755, -45.735111, None, None, '2107-4544', 'Reid08.1290', None, None),\n", - " ('2MASS J22443167+2043433', 341.131959, 20.728694, None, None, '2244+2043', 'Dahn02', None, None),\n", - " ('DENIS J2329343-540858', 352.3823, -54.1497, None, '2000', None, 'Mart10', None, None),\n", - " ('WISEA J221859.33+114644.4', 334.74720833333333, 11.779000000000002, None, None, None, 'Meis20.123', None, None),\n", - " ('2MASS J01205114-5200349', 20.2131, -52.00969, None, None, '0120-5200', 'Gagn15.33', None, None),\n", - " ('CFBDS J025840.60-182648.3', 44.6691, -18.4469, None, '2000', None, 'Albe11', None, None),\n", - " ('WISEA J021420.18-573245.1', 33.584083333333325, -57.54586111111111, None, None, None, 'Meis20.123', None, None),\n", - " ('2MASS J21321145+1341584', 323.047725, 13.699559, None, None, '2132+1341', 'Cruz07', None, None),\n", - " ('CWISEP J135937.65-435226.9', 209.90687499999999, -43.874138888888886, None, None, None, 'Meis20.74', None, None),\n", - " ('PSO J075.4182-17.8327', 75.4182, -17.8327, None, None, None, 'Alle16.PhDT', None, None),\n", - " ('SDSS J153417.05+161546.1', 233.571, 16.2627, None, '2000', None, 'Chiu06', None, None),\n", - " ('eta Pyx B', 129.4673, -26.255, None, '2000', None, 'Viga12', None, None),\n", - " ('WISE J174102.78-464225.5', 265.2616, -46.7071, None, '2000', None, 'Schn14', None, None),\n", - " ('2MASS J11034950-3409445', 165.95628, -34.162384, None, None, '1103-3409', 'Gagn15.73', None, None),\n", - " ('ULAS J154638.34-011213.0', 236.659758, -1.203638, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('SDSS J141053.86+621742.6', 212.7245297, 62.2951046, None, None, None, 'West08', None, 'Discovery reference from the BONES archive'),\n", - " ('PSO J011.1793-03.7847', 11.1786, -3.7851, None, '2000', None, 'Best20.257', None, None),\n", - " ('2MASS J23360735-3541489', 354.03065, -35.696934, None, None, '2336-3541', 'Gagn15.33', None, None),\n", - " ('SDSS J164748.33+190933.7', 251.9513, 19.1594, None, '2000', None, 'West08', None, None),\n", - " ('TVLM 831-165166', 42.9278, -1.0349, None, '2000', None, 'Tinn93.279', None, None),\n", - " ('2MASS J15575011-2952431', 239.45881, -29.878639, None, None, '1557-2952', 'Kirk11', None, None),\n", - " ('PSO J338.8587+31.4729', 338.8585, 31.4729, None, '2000', None, 'Best15', None, None),\n", - " ('WISE J235425.33-564928.6', 358.6058, -56.8247, None, '2000', None, 'Tinn18', None, None),\n", - " ('HIP 73169B', 224.2985, -6.324, None, '2000', None, 'Deac14.119', None, None),\n", - " ('SDSS J222000.97+121436.5', 335.0041, 12.2435, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J00364481-2031317', 9.186722, -20.525497, None, None, None, 'Cruz03', None, None),\n", - " ('SDSS J163239.34+415004.3', 248.1641, 41.8346, None, '2000', None, 'Knap04', None, None),\n", - " ('2MASS J18284076+1229207', 277.16983, 12.489083, None, None, '1828+1229', 'Kirk10', None, None),\n", - " ('WISE J192841.35+235604.9', 292.1729, 23.9339, None, '2000', None, 'Mace13.6', None, None),\n", - " ('ULAS J224922.85+071527.9', 342.3454, 7.2579, None, '2000', None, 'DayJ13', None, None),\n", - " ('2MASS J02182913-3133230', 34.6213755, -31.556389, None, None, '0218-3133', 'Cruz03', None, None),\n", - " ('WISEPA J022623.98-021142.8', 36.6, -2.1952, None, '2000', None, 'Kirk11', None, None),\n", - " ('2MASS J15573279+1752387', 239.38625, 17.877222, None, None, None, 'Cruz07', None, None),\n", - " ('SDSS J151527.14+341232.7', 228.8631, 34.2091, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J21272613-4215183', 321.85875, -42.255, None, None, '2127-4215', 'Hawk88', None, None),\n", - " ('PSO J274.0908+30.5470', 274.0908, 30.5476, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J03341218-4953322', 53.537667, -49.893944, None, None, '0334-4953', 'Poko04', None, None),\n", - " ('ULAS J145935.25+085751.2', 224.8969, 8.9641, None, '2000', None, 'Burn10.1885', None, 'Best20 lists discovery as Burn10b; Albe11'),\n", - " ('SDSS J145502.93+261919.6', 223.7619, 26.3222, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J20414283-3506442', 310.428459, -35.112278, None, None, '2041-3506', 'Cruz07', None, None),\n", - " ('2MASS J23101846-1759090', 347.576916, -17.985833, None, None, '2310-1759', 'Lodi02', None, None),\n", - " ('2MASS J23535946-0833311', 358.4977, -8.5588, None, '2000', None, 'Phan01', None, None),\n", - " ('WISEA J065113.90-835502.6', 102.80791666666664, -83.9173888888889, None, None, None, 'Meis20.123', None, None),\n", - " ('WISEA J193054.55-205949.4', 292.72729166666664, -20.997055555555555, None, None, None, 'Meis20.123', None, None),\n", - " ('S Ori 66', 84.353, -2.5312, None, '2000', None, 'Zapa00', None, None),\n", - " ('PSO J052.7214-03.8409', 52.7218, -3.8411, None, '2000', None, 'Best15', None, None),\n", - " ('CWISE J115229.05-351105.9', 178.1210618, -35.1849737, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('PSO J226.2599-28.8959', 226.2596, -28.8947, None, '2000', None, 'Deac11', None, None),\n", - " ('WISEPC J075946.98-490454.0', 119.9458, -49.0817, None, '2000', None, 'Kirk11', None, None),\n", - " ('ULAS J152912.23+092228.5', 232.3012, 9.3745, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('CWISEP J003507.77-153233.8', 8.782375, -15.542722222222222, None, None, None, 'Meis20.74', None, None),\n", - " ('[HB88] M18', 319.6324, -45.0979, None, '2000', None, 'Hawk88', None, None),\n", - " ('WISE J053516.80-750024.9', 83.82, -75.006917, None, None, '0535-7500', 'Kirk12', None, None),\n", - " ('LSPM J1717+5925B', 259.3792, 59.4254, None, '2000', None, 'Deac14.119', None, None),\n", - " ('DENIS J051737.7-334903', 79.406667, -33.817222, None, None, None, 'Phan03', None, None),\n", - " ('ULAS J152526.25+095814.3', 231.3595, 9.9704, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('WISE J222055.31-362817.4', 335.230455, -36.4715, None, None, '2220-3628', 'Kirk12', None, None),\n", - " ('2MASS J23371491-0838084', 354.3122, -8.6356, None, '2000', None, 'Cruz02', None, None),\n", - " ('PSO J183.9318-09.7914', 183.932, -9.7914, None, '2000', None, 'Best15', None, None),\n", - " ('SDSS J155644.35+172308.9', 239.1848, 17.3858, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J09522188-1924319', 148.0912, -19.4089, None, '2000', None, 'Gizi00', None, None),\n", - " ('SDSS J233615.99+004253.4', 354.0667, 0.7149, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J01531463-6744181', 28.3109595, -67.738388, None, None, '0153-6744', 'Reid08.1290', None, None),\n", - " ('DENIS-P J1323-1806', 200.8999, -18.1105, None, '2000', None, 'Mart99.107', None, None),\n", - " ('WISE J172844.93+571642.7', 262.18721, 57.27878, None, None, '1728+5716', 'Kirk11', None, None),\n", - " ('ULAS J143615.75+072056.8', 219.0655, 7.3492, None, '2000', None, 'Maro15', None, None),\n", - " ('2MASSI J2004536-141622', 301.2239, -14.2731, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASSI J1315309-264951', 198.8786, -26.8311, None, '2000', None, 'Hall02.89', None, None),\n", - " ('PSO J344.8146+20.1917', 344.8145, 20.1917, None, '2000', None, 'Best15', None, None),\n", - " ('WISEA J081322.19-152203.2', 123.3429, -15.3679, None, '2000', None, 'Schn17', None, None),\n", - " ('CFBDS J223856.30+034947.0', 339.7345, 3.8294, None, '2000', None, 'Albe11', None, None),\n", - " ('2MASS J17551229-6717251', 268.80124, -67.290329, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASS J11062554-7633418', 166.606, -76.5616, 2000.0, 'J2000', None, 'Come04', None, None),\n", - " ('ULAS J012814.41-004153.5', 22.0604, -0.6981, None, '2000', None, 'Mats11.64', None, None),\n", - " ('WISEA J160516.79+002139.0', 241.3199583333333, 0.36083333333333334, None, None, None, 'Meis20.123', None, None),\n", - " ('SDSS J154625.94+160917.9', 236.608, 16.1552, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J14235889-8729202', 215.9954, -87.48896, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASS J13480100-0304328', 207.0042, -3.0759, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('ULAS J215700.47+005614.5', 329.2522, 0.9375, None, '2000', None, 'DayJ13', None, None),\n", - " ('ULAS J100759.90-010031.1', 152.0, -1.0089, None, '2000', None, 'Lodi07.1423', None, None),\n", - " ('2MASS J05233822-1403022', 80.90925, -14.050611, None, None, '0523-1403', 'Cruz03', None, None),\n", - " ('2MASSI J0443058-320209', 70.7742, -32.0357, None, '2000', None, 'Kend03', None, None),\n", - " ('USco J163919.15-253409.9', 249.8295, -25.5686, None, '2000', None, 'Lodi08', None, None),\n", - " ('CWISEP J153859.39+482659.1', 234.7474583333333, 48.449749999999995, None, None, None, 'Meis20.74', None, None),\n", - " ('LP 859-1', 226.06757, -23.932343, None, None, '1504-2355', 'Luyt79.2', None, None),\n", - " ('2MASSI J1847034+552243', 281.7652, 55.3784, None, '2000', None, 'Cruz03', None, None),\n", - " ('WISE J223617.59+510551.9', 339.07, 51.0967, None, '2000', None, 'Mace13.6', None, None),\n", - " ('SDSS J151506.11+443648.3', 228.7753, 44.6134, None, '2000', None, 'Chiu06', None, None),\n", - " ('CWISE J165325.10+490439.7', 253.3545821, 49.0777014, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('ULAS2MASS J1452+1114', 223.0087, 11.2484, None, '2000', None, 'Bard14', None, None),\n", - " ('2MASS J05361998-1920396', 84.0832515, -19.344357, None, None, '0536-1920', 'Cruz07', None, None),\n", - " ('WISE J135307.51-085712.0', 208.2823, -8.9533, None, '2000', None, 'Thom13', None, None),\n", - " ('PSO J304.7573-07.2350', 304.7573, -7.2349, None, '2000', None, 'Best15', None, None),\n", - " ('CWISE J152742.44-121528.2', 231.9268706, -12.2578539, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('WISE J233226.49-432510.6', 353.1106, -43.4197, None, '2000', None, 'Kirk12', None, None),\n", - " ('WISE J051208.66-300404.4', 78.0361, -30.0678, None, '2000', None, 'Mace13.6', None, None),\n", - " ('CFBDS J152655.80+034536.2', 231.7323, 3.7597, None, '2000', None, 'Albe11', None, None),\n", - " ('ULAS J162655.04+252446.8', 246.7294, 25.4131, None, '2000', None, 'Burn13', None, None),\n", - " ('WISEPA J075108.79-763449.6', 117.7867, -76.5804, None, '2000', None, 'Kirk11', None, None),\n", - " ('2MASS J22092183-2711329', 332.341, -27.1925, None, '2000', None, 'Maro13', None, None),\n", - " ('HR 8799e', 346.8696, 21.1343, None, '2000', None, 'Maro10.1080', None, None),\n", - " ('CWISE J114120.42-211024.5', 175.3350833333333, -21.173472222222223, None, None, None, 'Kirk21', None, None),\n", - " ('SDSS J162559.01+334705.5', 246.4958, 33.7849, None, '2000', None, 'West08', None, None),\n", - " ('WISE J163236.47+032927.3', 248.1518, 3.4908, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J07123786-6155528', 108.15775, -61.931333, None, None, '0712-6155', 'Cruz09', None, None),\n", - " ('2MASS J12563716-0224522', 194.15484, -2.4145, None, None, '1256-0224', 'Siva09', None, None),\n", - " ('WISEA J162852.64+160421.0', 247.21933333333328, 16.072499999999998, None, None, None, 'Meis20.123', None, None),\n", - " ('ULAS J115718.02-013923.9', 179.3273, -1.656, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('2MASS J14183233+0253259', 214.6348751, 2.89046, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J05264316-1824315', 81.679849, -18.408756, None, None, '0526-1824', 'Gagn15.33', None, None),\n", - " ('SDSS J135439.54+504451.0', 208.6651, 50.7475, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J02265658-5327032', 36.73575, -53.45089, None, None, '0226-5327', 'Gagn15.33', None, None),\n", - " ('ULAS J144458.87+105531.1', 221.2457, 10.9256, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('chi Cap F', 317.1401, -21.1937, None, '2000', None, 'Viga12', None, None),\n", - " ('2MASS J22081363+2921215', 332.05679, 29.355972, None, None, '2208+2921', 'Kirk00', None, None),\n", - " ('2MASS J19223062+6610194', 290.62758, 66.172056, None, None, '1922+6610', 'Reid08.1290', None, None),\n", - " ('2MASS J20263647+0439404', 306.65196, 4.6611111, None, None, None, 'Reid08.1290', None, None),\n", - " ('ULAS J103553.67-012126.3', 158.9734, -1.3573, None, '2000', None, 'Maro15', None, None),\n", - " ('SDSS J234759.77-001546.9', 356.999, -0.263, None, '2000', None, 'Zhan10', None, None),\n", - " ('2MASS J23371663-0933251', 354.31933, -9.5568889, None, None, None, 'Cruz07', None, None),\n", - " ('2MASS J00044144-2058298', 1.1728, -20.975, None, '2000', None, 'Kend07', None, None),\n", - " ('2MASS J20282035+0052265', 307.084791, 0.874028, None, None, '2028+0052', 'Hawl02', None, None),\n", - " ('CWISEP J023842.60-133210.7', 39.677499999999995, -13.536305555555556, None, None, None, 'Meis20.74', None, None),\n", - " ('2MASS J21512543-2441000', 327.8559645, -24.68335, None, None, '2151-2441', 'Lieb06', None, None),\n", - " ('2MASS J01330461-1355271', 23.269208, -13.924194, None, None, None, 'Kirk10', None, None),\n", - " ('WISEA J223343.53-133140.9', 338.4305, -13.5281, None, '2000', None, 'Schn16.112', None, None),\n", - " ('DENIS-P J080511.0-315811', 121.2959, -31.9699, None, '2000', None, 'Phan08', None, None),\n", - " ('WISEA J083019.97-632305.4', 127.58320833333333, -63.38483333333333, None, None, None, 'Bard20', None, None),\n", - " ('SDSS J165301.98+413847.5', 253.2582, 41.6465, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WISE J155254.84+503307.6', 238.229, 50.5528, None, '2000', None, 'Thom13', None, None),\n", - " ('ULAS J082707.67-020408.2', 126.78196, -2.0689444, None, None, '0827-0204', 'Lodi07.1423', None, None),\n", - " ('2MASS J13595510-4034582', 209.9795835, -40.582833, None, None, '1359-4034', 'Reid08.1290', None, None),\n", - " ('UGCS J053022.52-052447.4', 82.5939, -5.4133, None, '2000', None, 'Lodi09.258', None, None),\n", - " ('HD 91324B', 157.8827, -53.633, None, '2000', None, 'Luhm12.152', None, None),\n", - " ('DENIS J055146.0-443412', 87.9416, -44.5702, None, '2000', None, 'Bill05', None, None),\n", - " ('WISE J165842.56+510335.0', 254.6786, 51.0605, None, '2000', None, 'Thom13', None, None),\n", - " ('WISEA J105349.41-460241.2', 163.455875, -46.044777777777774, None, None, None, 'Meis20.123', None, None),\n", - " ('2MASS J08173001-6155158', 124.375041, -61.921056, None, None, '0817-6155', 'Arti10', None, None),\n", - " ('SDSS J164911.16+300048.3', 252.2965, 30.0135, None, '2000', None, 'Silv07', None, None),\n", - " ('2MASS J10213232-2044069', 155.3846, -20.7353, None, '2000', None, 'Phan06.40', None, None),\n", - " ('LSPM J1735+2634', 263.8047, 26.5785, None, '2000', None, 'Schm07', None, None),\n", - " ('2MASS J17281134+0839590', 262.0473, 8.6664, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('DENIS-P J1909081-193748', 287.2842, -19.63, None, '2000', None, 'Phan08', None, None),\n", - " ('WISE J105130.01-213859.7', 162.8751, -21.65, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J21481633+4003594', 327.0680415, 40.0665, None, None, '2148+4003', 'Loop08.528', None, None),\n", - " ('2MASS J15031961+2525196', 225.831708, 25.422111, None, None, '1503+2525', 'Burg03.510', None, None),\n", - " ('UScoCTIO 108', 241.4753, -18.3123, None, '2000', None, 'Beja08', None, None),\n", - " ('WISE J204356.42+622048.9', 310.9851519, 62.3469507, None, None, '2043+6220', 'Mace13.6', None, None),\n", - " ('PSO J316.5156+04.1173', 316.5156, 4.1174, None, '2000', None, 'Best15', None, None),\n", - " ('Gaia EDR3 4818823808553134592', 73.1904, -36.1448, None, '2000', None, 'Zhan19.1423', None, None),\n", - " ('SDSS J152531.32+581053.1', 231.3805, 58.1813, None, '2000', None, 'Knap04', None, None),\n", - " ('2MASS J04470652-1946392', 71.777001, -19.7775004, None, None, None, 'Kirk10', None, 'Discovery reference from the BONES archive'),\n", - " ('USco J160603.75-221930.0', 241.5156, -22.3251, None, '2000', None, 'Lodi08', None, None),\n", - " ('2MASS J13243553+6358281', 201.1480833, 63.9744861, None, None, None, 'Missing', None, None),\n", - " ('G 239-25B', 220.5919, 66.0555, None, '2000', None, 'Goli04.1733', None, 'Best20 lists discovery as Goli04b; Forv04'),\n", - " ('WISE J014807.25-720258.7', 27.0302085, -72.049639, None, None, '0148-7202', 'Mace13.6', None, None),\n", - " ('LHS 3421B', 283.2394, -57.1394, None, '2000', None, 'Luhm12.152', None, None),\n", - " ('APMPM J0559-2903', 89.7455, -29.0574, None, '2000', None, 'Schw99', None, None),\n", - " ('2MASS J21203387+1021591', 320.14121, 10.36639, None, None, None, 'Reid08.1290', None, None),\n", - " ('2MASS J01122168-7031235', 18.090337, -70.523201, None, None, None, 'Cruz07', None, None),\n", - " ('SDSS J145447.76+371823.1', 223.6991, 37.3065, None, '2000', None, 'West08', None, None),\n", - " ('HIP 65426 b', 201.1504, -51.5045, None, '2000', None, 'Chau17', None, None),\n", - " ('2MASS J05345844-1511439', 83.7435, -15.1955, None, '2000', None, 'Cruz07', None, None),\n", - " ('CWISE J030005.73-062218.6', 45.0238923, -6.371848, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J21404654+0112594', 325.193916, 1.2165, None, None, '2140+0112', 'Hawl02', None, None),\n", - " ('WISEP J183058.57+454257.9', 277.744035, 45.716083, None, None, '1830+4542', 'Kirk11', None, None),\n", - " ('SSSPM J2356-3426', 359.0451, -34.4346, None, '2000', None, 'Lodi05', None, None),\n", - " ('SDSS J005705.55-084624.2', 14.2731, -8.7734, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J024749.90-163112.6', 41.9576, -16.5203, None, '2000', None, 'Chiu06', None, None),\n", - " ('CWISE J004143.77-401929.9', 10.432375, -40.32497222222223, None, None, None, 'Kirk21', None, None),\n", - " ('2MASS J17373467+5953434', 264.3944, 59.8954, None, '2000', None, 'Geis11', None, None),\n", - " ('2MASS J13411160-3052505', 205.298334, -30.880694, None, None, '1341-3052', 'Reid08.1290', None, None),\n", - " ('2MASS J06500102-6014569', 102.50387, -60.24908, None, None, '0650-6014B', 'Kono16', None, None),\n", - " ('2MASS J15293306+6730215', 232.3878, 67.506, None, '2000', None, 'Kirk10', None, None),\n", - " ('WISEPA J171717.02+612859.3', 259.321, 61.4831, None, '2000', None, 'Kirk11', None, None),\n", - " ('CWISEP J210007.87-293139.8', 315.03279166666664, -29.52772222222222, None, None, None, 'Meis20.74', None, None),\n", - " ('CWISE J200813.66-124502.4', 302.0569331, -12.7506846, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J16124134+1730284', 243.17227, 17.507895, None, None, None, 'Cruz07', None, None),\n", - " ('2MASS J23245065-5817554', 351.2110485, -58.29874, None, None, '2324-5817', 'Reid08.1290', None, None),\n", - " ('SDSS J154910.12+551203.2', 237.2922, 55.2009, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J15561873+1300527', 239.0780633, 13.0146447, None, None, None, 'West11', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J11271382-3735076', 171.80758, -37.585449, None, None, '1127-3735', 'Gagn15.73', None, None),\n", - " ('2MASS J12215066-0843197', 185.461, -8.7221, None, '2000', None, 'Cruz07', None, None),\n", - " ('ULAS J034832.97-001258.3', 57.1372, -0.2164, None, '2000', None, 'Chiu08', None, None),\n", - " ('CWISE J151939.68-485820.4', 229.9153563, -48.972359, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J11414406-2232156', 175.4335, -22.5375, None, '2000', None, 'Cruz03', None, None),\n", - " ('2MASS J19073307+3015304', 286.8884528, 30.258925, None, None, None, 'GaiaEDR3', None, None),\n", - " ('SDSS J134925.25+504954.5', 207.3552, 50.8317, None, '2000', None, 'West08', None, None),\n", - " ('ULAS J083756.19-004156.0', 129.4842, -0.6987, None, '2000', None, 'Pinf08', None, None),\n", - " ('CFBDS J025401.67-182529.2', 43.5073, -18.4247, None, '2000', None, 'Albe11', None, None),\n", - " ('WISE J073444.02-715744.0', 113.6834205, -71.962222, None, None, '0734-7157', 'Kirk12', None, None),\n", - " ('2MASS J23355015-3401477', 353.959, -34.0299, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('USco J160843.44-224516.0', 242.1806, -22.7547, None, '2000', None, 'Lodi08', None, None),\n", - " ('USco J160727.82-223904.0', 241.8659, -22.6511, None, '2000', None, 'Lodi08', None, None),\n", - " ('2MASS J21265916+7617440', 321.7464, 76.2954, None, '2000', None, 'Kirk10', None, None),\n", - " ('ULAS J151821.34+085517.5', 229.589, 8.9217, None, '2000', None, 'Maro15', None, None),\n", - " ('ULAS J141806.71+000035.5', 214.5279, 0.0098, None, '2000', None, 'Lodi12.105', None, None),\n", - " ('DENIS J1019245-270717', 154.8518, -27.1214, None, '2000', None, 'Mart10', None, None),\n", - " ('2MASS J14534847+3733165', 223.45188, 37.55471, None, None, None, 'Cruz07', None, None),\n", - " ('SDSS J120637.41-014332.2', 181.6559, -1.7256, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J00511078-1544169', 12.794916, -15.738028, None, None, '0051-1544', 'Kirk00', None, None),\n", - " ('SDSS J153119.91+262835.2', 232.833, 26.4765, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J00043484-4044058', 1.145166, -40.734944, None, None, '0004-4044BC', 'Eros99', None, None),\n", - " ('2MASS J22470170+1955286', 341.75712, 19.924618, None, None, None, 'Cruz03', None, None),\n", - " ('2MASS J08194351-0450071', 124.9313, -4.8353, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('WISE J105553.59-165216.3', 163.9734, -16.8713, None, '2000', None, 'Tinn18', None, 'Best20 lists discovery as Tinn18; Mart18'),\n", - " ('WISE J233527.07+451140.9', 353.8629, 45.1948, None, '2000', None, 'Thom13', None, None),\n", - " ('Gl 229B', 92.6449995, -21.866667, None, None, '0610-2152B', 'Naka95', None, None),\n", - " ('ULAS J083334.60-014454.7', 128.3942, -1.7485, None, '2000', None, 'Maro15', None, None),\n", - " ('SDSS J141530.05+572428.7', 213.8752, 57.4082, None, '2000', None, 'Chiu06', None, None),\n", - " ('2MASS J21371044+1450475', 324.2935005, 14.846528, None, None, '2137+1450', 'Reid08.1290', None, None),\n", - " ('2MASS J22344161+4041387', 338.6734167, 40.69411111, None, None, '2234+4041', 'Cruz03', None, None),\n", - " ('SDSS J113035.14-005225.7', 172.6465, -0.8738, None, '2000', None, 'West08', None, None),\n", - " ('ULAS J231236.55+000602.3', 348.1522, 0.1007, None, '2000', None, 'DayJ13', None, None),\n", - " ('ULAS J132823.25+302144.8', 202.0976613, 30.3624663, None, None, None, 'Lodi17', None, 'Discovery reference from the BONES archive'),\n", - " ('GSC 08047-00232B', 28.061, -52.325, None, '2000', None, 'Chau03.157', None, 'Best20 lists discovery as Chau03a; Neuh04a'),\n", - " ('2MASS J10284042-1438439', 157.1685, -14.6456, None, '2000', None, 'Cruz07', None, None),\n", - " ('KOI-205b', 295.4966, 42.5513, None, '2000', None, 'Diaz13', None, None),\n", - " ('SDSS J143517.20-004612.9', 218.8218, -0.7703, None, '2000', None, 'Hawl02', None, None),\n", - " ('APMPM J2359-6246', 359.6787, -62.7618, None, '2000', None, 'Scho02.109', None, None),\n", - " ('LP 649-93', 34.740833, -6.2969444, None, None, None, 'Luyt79.2', None, None),\n", - " ('CFBDS J151803.64+071645.9', 229.5158, 7.2814, None, '2000', None, 'Albe11', None, None),\n", - " ('CWISEP J161822.86-062310.2', 244.59525, -6.386166666666667, None, None, None, 'Meis20.74', None, None),\n", - " ('2MASS J10101480-0406499', 152.561667, -4.113861, None, None, '1010-0406', 'Cruz03', None, None),\n", - " ('PSO J276.8234+22.4380', 276.8232, 22.438, None, '2000', None, 'Best15', None, None),\n", - " ('CWISE J171700.57+724437.3', 259.2523353, 72.74369143, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASSW J1553214+210907', 238.3392, 21.1521, None, '2000', None, 'Kirk99.802', None, None),\n", - " ('WISEPA J053957.02-103436.5', 84.9875, -10.5769, None, '2000', None, 'Kirk11', None, None),\n", - " ('SDSS J143147.92+124329.0', 217.9497, 12.7248, None, '2000', None, 'West08', None, None),\n", - " ('WISEPA J054231.26-162829.1', 85.631, -16.4757, None, '2000', None, 'Kirk11', None, None),\n", - " ('WISE J185215.76+353716.7', 283.06575, 35.621194, None, None, '1852+3537', 'Kirk11', None, None),\n", - " ('WISEPA J213456.73-713743.6', 323.7366, -71.6291, None, '2000', None, 'Kirk11', None, None),\n", - " ('WISEPA J052844.51-330823.9', 82.1855, -33.14, None, '2000', None, 'Kirk11', None, None),\n", - " ('TWA 28', 165.54097, -34.509869, None, None, '1102-3430', 'Scho05', None, None),\n", - " ('WISEA J071121.36-573634.2', 107.838935, -57.609644, None, None, None, 'Kell18', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J16532970+6231364', 253.3737495, 62.526778, None, None, '1653+6231', 'Hawl02', None, None),\n", - " ('WISENF J193656.08+040801.2', 294.2336666666667, 4.1336666666666675, None, None, None, 'Meis20.74', None, None),\n", - " ('DENIS J1004403-131818', 151.1679, -13.3053, None, '2000', None, 'Mart10', None, None),\n", - " ('PSO J133.8016-02.5658', 133.8021, -2.566, None, '2000', None, 'Best15', None, None),\n", - " ('SDSS J143904.71+020526.7', 219.7694, 2.0908, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J04062677-3812102', 61.611542, -38.202833, None, None, '0406-3812', 'Kirk10', None, None),\n", - " ('2MASS J19564700-7542270', 299.19583, -75.7075, None, None, '1956-7542', 'Reid08.1290', None, None),\n", - " ('2MASS J10073369-4555147', 151.890375, -45.920753, None, None, '1007-4555', 'Loop07.1162', None, None),\n", - " ('2MASS J14571496-2121477', 224.312334, -21.36325, None, None, '1457-2121', 'Burg00.57', None, None),\n", - " ('2MASS J19390462-4239251', 294.76927, -42.656998, None, None, None, 'Reid08.1290', None, None),\n", - " ('SIPS J1607-0442', 241.8802, -4.7027, None, '2000', None, 'Gizi02.484', None, None),\n", - " ('2MASS J13235206+3014340', 200.967, 30.2427, None, '2000', None, 'Cruz07', None, None),\n", - " ('LHS 1265', 23.7465, -9.0784, None, '2000', None, 'Reid05', None, None),\n", - " ('2MASS J08441409-2924121', 131.0587, -29.4035, None, '2000', None, 'Folk12', None, None),\n", - " ('WISE J062720.07-111428.0', 96.833625, -11.241333, None, None, '0627-1114', 'Kirk11', None, None),\n", - " ('DENIS-P J090957.1-065806', 137.4895, -6.9718, None, '2000', None, 'Delf99.41', None, None),\n", - " ('CWISE J092503.20-472013.8', 141.26333333333332, -47.33716666666667, None, None, None, 'Kirk21', None, None),\n", - " ('ULAS J225630.91+072439.0', 344.1286, 7.411, None, '2000', None, 'DayJ13', None, None),\n", - " ('SDSS J233358.42+005012.1', 353.4934, 0.8366, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J16141954-8151154', 243.5819541, -81.8543183, None, None, None, 'Kirk16', None, 'Discovery reference from the BONES archive'),\n", - " ('SDSS J154727.23+033636.3', 236.8632, 3.6101, None, '2000', None, 'Hawl02', None, None),\n", - " ('2MASS J19010601+4718136', 285.2752, 47.304, None, '2000', None, 'Burg04.2856', None, None),\n", - " ('WISEA J211807.07-321713.5', 319.5291, -32.2861, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('WISEA J035410.03-572104.0', 58.541791666666654, -57.35111111111111, None, None, None, 'Meis20.123', None, None),\n", - " ('HIP 73786B', 226.2399, 5.6333, None, '2000', None, 'Murr11', None, 'Best20 lists discovery as Scho10b; Murr11'),\n", - " ('CFBDS J204803.61-183212.7', 312.0151, -18.5366, None, '2000', None, 'Albe11', None, None),\n", - " ('SDSS J010859.24-104546.3', 17.2472, -10.7628, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J14114474-4524153', 212.9361037, -45.4043026, None, None, None, 'Kirk16', None, 'Discovery reference from the BONES archive'),\n", - " ('CWISE J221418.15+253432.2', 333.5756522, 25.5756384, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('SDSS J161840.27+202045.6', 244.6677, 20.3459, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('2MASS J17065487-1314396', 256.7286, -13.2444, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('SDSS J114452.67-031420.4', 176.2194763, -3.2389794, None, None, None, 'Lupi08', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J02215494-5412054', 35.478949, -54.201511, None, None, '0221-5412', 'Lodi05', None, None),\n", - " ('SDSS J153453.33+121949.2', 233.7219, 12.3304, None, '2000', None, 'Chiu06', None, None),\n", - " ('2MASS J11480096-2836488', 177.00401, -28.613583, None, None, '1148-2836', 'Gagn15.73', None, None),\n", - " ('2MASS J21330794+2321590', 323.32446, 23.381333, None, None, None, 'Reid08.1290', None, None),\n", - " ('SDSS J144842.76+371932.1', 222.1782, 37.3256, None, '2000', None, 'West08', None, None),\n", - " ('SDSS J164238.60+330855.6', 250.6609, 33.1488, None, '2000', None, 'West08', None, None),\n", - " ('WISE J234026.61-074508.1', 355.110915, -7.752, None, None, '2340-0745', 'Kirk11', None, None),\n", - " ('2MASS J15004572+4219448', 225.1905, 42.3291, None, '2000', None, 'Reid08.1290', None, None),\n", - " ('2MASS J06272161-5308428', 96.840054, -53.145241, None, None, '0627-5308', 'Gagn15.33', None, None),\n", - " ('2MASS J13373116+4938367', 204.37979, 49.643528, None, None, '1337+4938', 'Cruz07', None, None),\n", - " ('2MASS J15025826-3551110', 225.77921, -35.87125, None, None, None, 'Cruz03', None, None),\n", - " ('WISE J180901.07+383805.4', 272.2544, 38.6348, None, '2000', None, 'Luhm12.152', None, None),\n", - " ('CWISE J165143.63+695259.4', 252.9318288, 69.8831753, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('ULAS J224051.81+000822.0', 340.2159, 0.1396, None, '2000', None, 'DayJ13', None, None),\n", - " ('ULAS J140152.43+090733.1', 210.4687, 9.1258, None, '2000', None, 'Maro15', None, None),\n", - " ('2MASS J17161258+4125143', 259.0525, 41.4206, None, '2000', None, 'Kell15', None, None),\n", - " ('DENIS-P J1157480-484442', 179.4504, -48.7452, None, '2000', None, 'Phan08', None, None),\n", - " ('2MASS J20111253+7153122', 302.8025, 71.8867, None, '2000', None, 'Kirk10', None, None),\n", - " ('2MASS J15485834-1636018', 237.243, -16.6006, None, '2000', None, 'Kend07', None, None),\n", - " ('2MASS J18521683+5257195', 283.07013, 52.955425, None, None, None, 'Cruz03', None, None),\n", - " ('LP 775-31', 68.817083, -16.115833, None, None, '0435-1606', 'Luyt79.2', None, None),\n", - " ('DENIS J004135.3-562112', 10.397417, -56.353528, None, None, '0041-5621', 'Phan01', None, None),\n", - " ('2MASS J05185995-2828372', 79.749792, -28.477, None, None, '0518-2828', 'Cruz04', None, None),\n", - " ('ULAS J144220.94+084945.9', 220.5873, 8.8293, None, '2000', None, 'Maro15', None, None),\n", - " ('ULAS J134414.90+092405.0', 206.0619, 9.4013, None, '2000', None, 'Maro15', None, None),\n", - " ('PSO J201.0320+19.1072', 201.0323, 19.1075, None, '2000', None, 'Deac11', None, None),\n", - " ('CWISEP J223138.55-383057.2', 337.9106249999999, -38.51588888888889, None, None, None, 'Meis20.74', None, None),\n", - " ('CWISE J002658.73-260859.6', 6.7447362, -26.1499067, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J02292794-0053282', 37.366455, -0.891185, None, None, '0229-0053', 'Alle13', None, None),\n", - " ('2MASSI J1456014-274735', 224.0058, -27.7935, None, '2000', None, 'Cruz03', None, None),\n", - " ('WISEA J032504.52-504403.0', 51.26883, -50.73417, None, None, '0325-5044', 'Schn15', None, None),\n", - " ('2MASS J15341068+0426410', 233.5445, 4.4447, None, '2000', None, 'Geis11', None, None),\n", - " ('PSO J246.1033-19.6194', 246.1029, -19.6191, None, '2000', None, 'Best20.257', None, None),\n", - " ('TVLM 868-110639', 227.57021, -2.6852778, None, None, '1510-0241', 'Tinn92', None, None),\n", - " ('HR 8799d', 346.8696, 21.1343, None, '2000', None, 'Maro08', None, None),\n", - " ('2MASS J17285995+7518436', 262.24396, 75.310639, None, None, None, 'Reid08.1290', None, None),\n", - " ('WISE J173551.72-820900.1', 263.9649, -82.1501, None, '2000', None, 'Tinn18', None, None),\n", - " ('2MASS J21501324-6610366', 327.55542, -66.176667, None, None, '2150-6610', 'Mart99.107', None, None),\n", - " ('SDSS J162208.04+454813.1', 245.5335, 45.8037, None, '2000', None, 'West08', None, None),\n", - " ('WISE J223720.39+722833.8', 339.3359, 72.4764, None, '2000', None, 'Mace13.6', None, None),\n", - " ('2MASS J20261584-2943124', 306.5659995, -29.720111, None, None, '2026-2943', 'Cruz07', None, None),\n", - " ('CWISE J091902.55-574837.3', 139.7606504, -57.8103837, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('ULAS J135607.41+085345.2', 209.0307, 8.8957, None, '2000', None, 'Burn10.1885', None, None),\n", - " ('PSO J235.3149+61.5071', 235.3153, 61.5071, None, None, None, 'Alle16.PhDT', None, None),\n", - " ('USNO-B1.0 0757-00057276', 68.810625, -14.246333, None, None, '0435-1414', 'Cruz03', None, None),\n", - " ('2MASS J23364145+4822480', 354.172713, 48.380024, None, None, '2336+4822', 'Cruz18', None, None),\n", - " ('SDSS J152529.74+200407.9', 231.3739, 20.0689, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('WISEA J012057.0-764216.4', 20.237499999999997, -76.70455555555556, None, None, None, 'Meis20.123', None, None),\n", - " ('SDSS J144016.20+002638.9', 220.0675, 0.4443, None, '2000', None, 'Hawl02', None, None),\n", - " ('2MASS J00145575-4844171', 3.7322917, -48.738083, None, None, '0014-4844', 'Kirk08', None, None),\n", - " ('SDSS J162834.35+242847.2', 247.1431, 24.4799, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('DENIS J2354599-185221', 358.7497, -18.8727, None, '2000', None, 'Mart10', None, None),\n", - " ('CWISEP J052346.34-545314.7', 80.94308333333333, -54.88741666666667, None, None, None, 'Meis20.74', None, None),\n", - " ('ULAS J022200.43-002410.5', 35.5018, -0.4029, None, '2000', None, 'Pinf08', None, None),\n", - " ('ULAS J133828.69-014245.4', 204.6196, -1.7125, None, '2000', None, 'Burn13', None, None),\n", - " ('2MASS J03393521-3525440', 54.896708, -35.428889, None, None, '0339-3525', 'Luyt79.2', None, None),\n", - " ('SDSSp J125737.26-011336.1', 194.4057, -1.2267, None, '2000', None, 'Geba02', None, None),\n", - " ('ULAS J145231.11+033944.0', 223.1297, 3.6622, None, '2000', None, 'Maro15', None, None),\n", - " ('PSO J160.0416-21.3281', 160.0423, -21.3279, None, '2000', None, 'Best15', None, None),\n", - " ('2MASS J16553529-0823401', 253.897053, -8.394476, None, None, '1655-0823', 'vanB61', None, None),\n", - " ('S Ori 47', 84.5609, -2.6709, None, '2000', None, 'Zapa99.115', None, None),\n", - " ('ULAS J233002.13+140329.9', 352.5089, 14.0584, None, '2000', None, 'DayJ13', None, None),\n", - " ('DENIS J1013-7842', 153.3582, -78.7153, None, '2000', None, 'Aber14.129', None, None),\n", - " ('PSO J117.0600-01.6779', 117.0615, -1.6767, None, '2000', None, 'Best20.257', None, None),\n", - " ('LSR J1826+3014', 276.5458, 30.2386, None, '2000', None, 'Lepi02.47', None, None),\n", - " ('2MASS J23470713+0219127', 356.7799271, 2.3202519, None, None, None, 'Schn16.112', None, 'Discovery reference from the BONES archive'),\n", - " ('2MASS J22264440-7503425', 336.6851, -75.0618, None, '2000', None, 'Luyt79.2', None, None),\n", - " ('WISEA J000622.67-131955.2', 1.5953, -13.3308, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('SDSS J161312.06+472918.2', 243.3002, 47.4884, None, '2000', None, 'West08', None, None),\n", - " ('2MASS J04291842-3123568', 67.326773, -31.399113, None, None, '0429-3123', 'Cruz03', None, None),\n", - " ('WISE J144806.48-253420.3', 222.027, -25.5724, None, '2000', None, 'Thom13', None, None),\n", - " ('2MASS J13080663-4925505', 197.0275, -49.4307, None, '2000', None, 'Folk12', None, None),\n", - " ('WISEA J211543.59-322540.4', 318.9312, -32.4273, None, '2000', None, 'Kirk14', None, None),\n", - " ('ULAS J222711-004547', 336.7956, -0.7632, None, '2000', None, 'Maro14', None, None),\n", - " ('2MASS J11181292-0856106', 169.553849, -8.936299, None, None, '1118-0856', 'Kirk10', None, None),\n", - " ('2MASS J15461461+4932114', 236.5611, 49.5362, None, '2000', None, 'Metc08', None, None),\n", - " ('CWISE J133427.70-273053.1', 203.6154266, -27.5147656, 2015.4041, 'ICRS', None, 'Roth', None, None),\n", - " ('2MASS J16265698+3954482', 246.73745, 39.913391, None, None, None, 'Cruz03', None, None),\n", - " ('2MASS J20140359-2016217', 303.5152, -20.2727, None, '2000', None, 'Cruz03', None, None),\n", - " ('ULAS J131106.96-013742.3', 197.7789, -1.6284, None, '2000', None, 'Maro15', None, None),\n", - " ('CWISEP J235547.99+380438.9', 358.9499583333333, 38.07747222222223, None, None, None, 'Meis20.74', None, None),\n", - " ('2MASS J00550470-3052005', 13.769167, -30.866667, None, None, None, 'Cruz07', None, None),\n", - " ('DENIS-P J0644143-284141', 101.0601, -28.6949, None, '2000', None, 'Phan08', None, None),\n", - " ('2MASS J01174748-3403258', 19.447833, -34.057167, None, None, '0117-3403', 'Cruz03', None, None),\n", - " ('2MASS J17195973-0640313', 259.99887, -6.6753611, None, None, None, 'Reid08.1290', None, None),\n", - " ('PSO J136.5380-14.3267', 136.5389, -14.3272, None, '2000', None, 'Best20.257', None, None),\n", - " ('51 Eri b', 69.40041, -2.47361, None, None, '0437-0228b', 'Maci15', None, None),\n", - " ('2MASS J21144103-4339531', 318.6713, -43.6652, None, '2000', None, 'Gagn15.33', None, None),\n", - " ('2MASS J12321827-0951502', 188.0761245, -9.863944, None, None, '1232-0951', 'Reid08.1290', None, None),\n", - " ('WISEA J011154.36-505343.2', 17.9765, -50.8954, None, '2000', None, 'Luhm14.126', None, None),\n", - " ('ULAS J133836.97-022910.7', 204.6543, -2.4854, None, '2000', None, 'Zhan17.3040', None, None),\n", - " ('2MASSI J1658037+702701', 254.51585415, 70.45043333, None, None, '1658+7026', 'Gizi00', None, None),\n", - " ('CFBDS J022644.65-062522.0', 36.686, -6.4228, None, '2000', None, 'Albe11', None, None),\n", - " ('2MASS J05574102-1333264', 89.420954, -13.557334, None, None, None, 'Cruz18', None, 'not M'),\n", - " ('2MASS J09393548-2448279', 144.897834, -24.80775, None, None, '0939-2448', 'Tinn05.2326', None, None),\n", - " ('2MASS J22590210+1156035', 344.758944, 11.933929, None, None, None, 'Zhan18.2054', None, 'Discovery reference from the BONES archive'),\n", - " ('EQ J1320+6034', 200.017335, 60.573944, None, None, '1320+6034', 'Kirk11', None, None),\n", - " ('SDSS J135923.99+472843.2', 209.85, 47.4787, None, '2000', None, 'Knap04', None, None),\n", - " ('2MASS J14250510+7102097', 216.2645, 71.0355, None, None, '1425+7102', 'Lepi03.69', None, None),\n", - " ('2MASS J16262034+3925190', 246.5847495, 39.421944, None, None, '1626+3925', 'Burg04.73', None, None),\n", - " ('SDSS J143132.79+351300.6', 217.8867, 35.2168, None, '2000', None, 'Schm10.1808', None, None),\n", - " ('SDSS J133312.79+150956.6', 203.3034, 15.1658, None, '2000', None, 'Schm10.1808', None, None),\n", - " ...]" + "\n", + " source ... comments \n", + " str24 ... object \n", + "------------------------ ... -----------------------------------------\n", + " 2MASS J03552014+1439297 ... None\n", + " PSO J024.4369+09.1360 ... Best20 lists discovery as Skrz16; Best20a\n", + "SDSS J094903.15+264944.2 ... None\n", + " 2MASS J09373487+2931409 ... None\n", + " HIP 6407B ... None\n", + " 2MASS J11260310+4819256 ... None\n", + " LHS 1937 ... None\n", + "ULAS J095047.28+011734.3 ... None\n", + " 2MASSI J1029216+162652 ... None\n", + "ULAS J115229.68+035927.3 ... Best20 lists discovery as Scho12; Burn13" ] }, - "execution_count": 12, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -2860,14 +751,23 @@ "source": [ "from sqlalchemy import and_, or_\n", "\n", + "#Uncomment the following lines to see how to use AND and OR in queries\n", + "\n", "# Query with multiple conditions\n", - "db.query(db.Sources).filter(db.Sources.c.dec > 0).filter(db.Sources.c.ra < 200).all()\n", + "print(\"\\nQuery with multiple conditions, filtering sources with dec > 0 and ra < 200 degrees:\")\n", + "print(f\"Showing the first 10 results out of {len(db.query(db.Sources).filter(db.Sources.c.dec > 0).filter(db.Sources.c.ra < 200).all())} sources:\")\n", + "db.query(db.Sources).filter(db.Sources.c.dec > 0).filter(db.Sources.c.ra < 200).limit(10).table()\n", + "\n", + "# # Query with AND\n", + "# print(\"\\nQuery with AND, filtering sources with dec > 0 and ra > 200 degrees:\")\n", + "# print(f\"Showing the first 10 results out of {len(db.query(db.Sources).filter(and_(db.Sources.c.dec > 0, db.Sources.c.ra > 200)).all())} sources:\")\n", + "# db.query(db.Sources).filter(and_(db.Sources.c.dec > 0, db.Sources.c.ra > 200)).limit(10).table()\n", "\n", - "# Query with AND\n", - "db.query(db.Sources).filter(and_(db.Sources.c.dec > 0, db.Sources.c.ra > 200)).all()\n", "\n", - "# Query with OR\n", - "db.query(db.Sources).filter(or_(db.Sources.c.dec < 0, db.Sources.c.ra > 200)).all()" + "# # Query with OR\n", + "# print(\"\\nQuery with OR, filtering sources with dec < 0 or ra > 200 degrees:\")\n", + "# print(f\"Showing the first 10 results out of {len(db.query(db.Sources).filter(or_(db.Sources.c.dec < 0, db.Sources.c.ra > 200)).all())} sources:\")\n", + "# db.query(db.Sources).filter(or_(db.Sources.c.dec < 0, db.Sources.c.ra > 200)).limit(10).table()\n" ] }, { @@ -2880,7 +780,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 33, "id": "19aa317e", "metadata": {}, "outputs": [ @@ -2894,11 +794,11 @@ ], "source": [ "# Query the total number of objects within SIMPLE\n", - "result = db.sql_query(\"SELECT COUNT(*) FROM Sources\")\n", + "result = db.sql_query(\"SELECT COUNT(*) FROM Sources\", fmt='astropy')\n", "total_objects = result[0][0]\n", "\n", "\n", - "print(f\"Total number of objects in the SIMPLE database: {total_objects}\")\n" + "print(f\"Total number of objects in the SIMPLE database: {total_objects}\")" ] }, { @@ -2911,7 +811,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 34, "id": "6444304a", "metadata": {}, "outputs": [ @@ -2922,15 +822,21 @@ "Found 616 WISE sources in the database\n", "\n", "First Three WISE Sources:\n", - "('CWISEP J230158.30-645858.3', 345.4929166666666, -64.98286111111112, None, None, None, 'Meis20.74', None, None)\n", - "('WISE J200403.17-263751.7', 301.013, -26.6293, None, '2000', None, 'Thom13', None, None)\n", - "('WISEA J012834.87-280302.5', 22.145291666666665, -28.050694444444446, None, None, None, 'Meis20.123', None, None)\n" + " source ra dec epoch equinox shortname reference other_references comments\n", + "-------------------------- ----------------- ------------------ ----- ------- --------- --------- ---------------- --------\n", + "CWISEP J230158.30-645858.3 345.4929166666666 -64.98286111111112 None None None Meis20.74 None None\n", + " source ra dec epoch equinox shortname reference other_references comments\n", + "------------------------ ------- -------- ----- ------- --------- --------- ---------------- --------\n", + "WISE J200403.17-263751.7 301.013 -26.6293 None 2000 None Thom13 None None\n", + " source ra dec epoch equinox shortname reference other_references comments\n", + "------------------------- ------------------ ------------------- ----- ------- --------- ---------- ---------------- --------\n", + "WISEA J012834.87-280302.5 22.145291666666665 -28.050694444444446 None None None Meis20.123 None None\n" ] } ], "source": [ "wise_sources_query = \"SELECT * FROM Sources WHERE source LIKE '%WISE%'\"\n", - "wise_sources = db.sql_query(wise_sources_query)\n", + "wise_sources = db.sql_query(wise_sources_query, fmt='astropy')\n", "\n", "print(f\"Found {len(wise_sources)} WISE sources in the database\")\n", "print(\"\\nFirst Three WISE Sources:\")\n", @@ -2948,7 +854,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 37, "id": "16631ad3", "metadata": {}, "outputs": [ @@ -2956,74 +862,74 @@ "name": "stdout", "output_type": "stream", "text": [ - "Found 55 spectra with PID references in the database\n", - "('VB 10', 'https://s3.amazonaws.com/bdnyc/Gl+752B+%285-35um%29.txt', None, '$BDNYC_spectra/IRS/Gl 752B (5-35um).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-10-11 00:00:00.000000', None, 'PID29', None)\n", - "('2MASS J10042066+5022596', 'https://s3.amazonaws.com/bdnyc/IRS/G196-3B.txt', None, '$BDNYC_spectra/IRS/G196-3B.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-04-17 04:40:11.761000', None, 'PID51', None)\n", - "('2MASS J10224821+5825453', 'https://s3.amazonaws.com/bdnyc/IRS/1022%2B5825.txt', None, '$BDNYC_spectra/IRS/1022+5825.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-04-16 13:45:42.752000', None, 'PID3136', None)\n", - "('2MASS J12392727+5515371', 'https://s3.amazonaws.com/bdnyc/1239%2B5515.txt', None, '$BDNYC_spectra/IRS/1239+5515.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-04-18 02:01:06.605000', None, 'PID51', None)\n", - "('2MASS J00001354+2554180', 'https://s3.amazonaws.com/bdnyc/IRS/0000%2B2554%20%285-14.5um%29.txt', None, '$BDNYC_spectra/IRS/0000+2554 (5-14.5um).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-12-18 00:00:00.000000', None, 'PID20514', None)\n", - "('2MASS J07464256+2000321', 'https://s3.amazonaws.com/bdnyc/0746%2B2000.txt', None, '$BDNYC_spectra/IRS/0746+2000.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-03-27 00:32:11.624000', None, 'PID51', None)\n", - "('2MASS J20575409-0252302', 'https://s3.amazonaws.com/bdnyc/2057-0252.txt', None, '$BDNYC_spectra/IRS/2057-0252.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-05-25 01:56:38.317000', None, 'PID3136', None)\n", - "('LP 440-52', 'https://s3.amazonaws.com/bdnyc/IRS/LHS377.txt', None, '$BDNYC_spectra/IRS/LHS377.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-07-01 00:00:00.000000', None, 'PID251', None)\n", - "('2MASS J12373919+6526148', 'https://s3.amazonaws.com/bdnyc/IRS/1237%2B6526.txt', None, '$BDNYC_spectra/IRS/1237+6526.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2004-03-03 20:10:57.708000', None, 'PID51', None)\n", - "('2MASS J12545393-0122474', 'https://s3.amazonaws.com/bdnyc/IRS/1254-0122.txt', None, '$BDNYC_spectra/IRS/1254-0122.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2004-02-04 05:31:36.427000', None, 'PID51', None)\n", - "('2MASS J22443167+2043433', 'https://s3.amazonaws.com/bdnyc/IRS/2244%2B2043.txt', None, '$BDNYC_spectra/IRS/2244+2043.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-12-10 00:00:00.000000', None, 'PID3431', None)\n", - "('2MASS J21321145+1341584', 'https://s3.amazonaws.com/bdnyc/IRS/2132%2B1341.txt', None, '$BDNYC_spectra/IRS/2132+1341.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2009-01-04 20:43:03.250000', None, 'PID50367', None)\n", - "('2MASS J05233822-1403022', 'https://s3.amazonaws.com/bdnyc/0523-1403.txt', None, '$BDNYC_spectra/IRS/0523-1403.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-03-12 05:05:00.500000', None, 'PID3136', None)\n", - "('2MASS J15031961+2525196', 'https://s3.amazonaws.com/bdnyc/IRS/1503%2B2525.txt', None, '$BDNYC_spectra/IRS/1503+2525.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-07-06 04:45:47.084000', None, 'PID51', None)\n", - "('2MASS J00043484-4044058', 'https://s3.amazonaws.com/bdnyc/LHS102B.txt', None, '$BDNYC_spectra/IRS/LHS102B.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2003-12-16 05:46:48.727000', None, 'PID51', None)\n", - "('TWA 28', 'https://s3.amazonaws.com/bdnyc/1102-3430%20(5-35um).txt', None, '$BDNYC_spectra/IRS/1102-3430 (5-35um).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2006-07-03 00:00:00.000000', None, 'PID30540', None)\n", - "('2MASS J11101001+0116130', 'https://s3.amazonaws.com/bdnyc/IRS/1110%2B0116.txt', None, '$BDNYC_spectra/IRS/1110+0116.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-05-23 00:00:00.000000', None, 'PID3431', None)\n", - "('2MASS J08575849+5708514', 'https://s3.amazonaws.com/bdnyc/IRS/0857%2B5708.txt', None, '$BDNYC_spectra/IRS/0857+5708.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-10-23 00:00:00.000000', None, 'PID3431', None)\n", - "('2MASSI J1658037+702701', 'https://s3.amazonaws.com/bdnyc/1658%2B7027+%285-35um%29.txt', None, '$BDNYC_spectra/IRS/1658+7027 (5-35um).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-04-17 00:00:00.000000', None, 'PID51', None)\n", - "('2MASS J09393548-2448279', 'https://s3.amazonaws.com/bdnyc/0939-2448.txt', None, '$BDNYC_spectra/IRS/0939-2448.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2006-05-24 00:00:00.000000', None, 'PID20544', None)\n", - "('2MASS J09201223+3517429', 'https://s3.amazonaws.com/bdnyc/IRS/0920%2B3517.txt', None, '$BDNYC_spectra/IRS/0920+3517.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-04-19 18:32:06.358000', None, 'PID51', None)\n", - "('2MASS J16262034+3925190', 'https://s3.amazonaws.com/bdnyc/IRS/1626%2B3925%20%281%29.txt', None, '$BDNYC_spectra/IRS/1626+3925 (1).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-02-11 00:00:00.000000', 'IRS spectrum 4521 much better!', 'PID251', None)\n", - "('2MASS J16262034+3925190', 'https://s3.amazonaws.com/bdnyc/IRS/1626%2B3925%20%282%29.txt', None, '$BDNYC_spectra/IRS/1626+3925 (2).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-06-03 00:00:00.000000', None, 'PID251', None)\n", - "('2MASS J14482563+1031590', 'https://s3.amazonaws.com/bdnyc/1448%2B1031.txt', None, '$BDNYC_spectra/IRS/1448+1031.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-02-14 11:24:34.977000', None, 'PID3136', None)\n", - "('2MASS J06244595-4521548', 'https://s3.amazonaws.com/bdnyc/0624-4521.txt', None, '$BDNYC_spectra/IRS/0624-4521.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-03-20 12:13:12.604000', None, 'PID3136', None)\n", - "('2MASS J03552337+1133437', 'https://s3.amazonaws.com/bdnyc/0355%2B1133.txt', None, '$BDNYC_spectra/IRS/0355+1133.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2008-10-10 14:12:37.569000', None, 'PID50059', None)\n", - "('2MASS J07003664+3157266', 'https://s3.amazonaws.com/bdnyc/0700%2B3157.txt', None, '$BDNYC_spectra/IRS/0700+3157.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-04-21 02:13:12.660000', None, 'PID3136', None)\n", - "('2MASS J14304358+2915405', 'https://s3.amazonaws.com/bdnyc/IRS/1430%2B2915.txt', None, '$BDNYC_spectra/IRS/1430+2915.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2009-03-06 07:56:18.586000', None, 'PID50367', None)\n", - "('2MASS J09083803+5032088', 'https://s3.amazonaws.com/bdnyc/IRS/0908%2B5032.txt', None, '$BDNYC_spectra/IRS/0908+5032.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2004-10-23 00:00:00.000000', None, 'PID3431', None)\n", - "('TWA 27', 'https://s3.amazonaws.com/bdnyc/1207-3932.txt', None, '$BDNYC_spectra/IRS/1207-3932.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-07-09 08:16:04.711000', None, 'PID2', None)\n", - "('2MASS J02355993-2331205', 'https://s3.amazonaws.com/bdnyc/IRS/GJ1048B.txt', None, '$BDNYC_spectra/IRS/GJ1048B.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2009-01-19 21:59:42.525000', None, 'PID50367', None)\n", - "('2MASS J13054019-2541059', 'https://s3.amazonaws.com/bdnyc/IRS/kelu-1.txt', None, '$BDNYC_spectra/IRS/kelu-1.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-02-15 04:16:04.544000', None, 'PID51', None)\n", - "('2MASS J14252798-3650229', 'https://s3.amazonaws.com/bdnyc/1425-3650.txt', None, '$BDNYC_spectra/IRS/1425-3650.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-02-15 03:36:03.697000', None, 'PID3136', None)\n", - "('2MASS J13314894-0116500', 'https://s3.amazonaws.com/bdnyc/IRS/1331-0116.txt', None, '$BDNYC_spectra/IRS/1331-0116.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2006-01-28 00:00:00.000000', None, 'PID20514', None)\n", - "('2MASS J12281523-1547342', 'https://s3.amazonaws.com/bdnyc/IRS/1228-1547.txt', None, '$BDNYC_spectra/IRS/1228-1547.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2009-03-06 11:46:17.088000', None, 'PID50367', None)\n", - "('2MASS J04151954-0935066', 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt', None, '$BDNYC_spectra/IRS/0415-0935 (LL2).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-09-06 00:00:00.000000', None, 'PID3259', None)\n", - "('2MASS J04151954-0935066', 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935.txt', None, '$BDNYC_spectra/IRS/0415-0935.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-09-07 00:00:00.000000', None, 'PID3431', None)\n", - "('2MASS J11263991-5003550', 'https://s3.amazonaws.com/bdnyc/IRS/1126-5003.txt', None, '$BDNYC_spectra/IRS/1126-5003.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2009-04-05 00:00:00.000000', None, 'PID50059', None)\n", - "('2MASS J15232263+3014562', 'https://s3.amazonaws.com/bdnyc/IRS/Gl%20584C.txt', None, '$BDNYC_spectra/IRS/Gl 584C.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2004-03-03 14:13:24.242000', None, 'PID51', None)\n", - "('2MASS J00250365+4759191', 'https://s3.amazonaws.com/bdnyc/0025%2B4759.txt', None, '$BDNYC_spectra/IRS/0025+4759.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2009-03-07 23:09:41.064000', None, 'PID50367', None)\n", - "('2MASS J08251968+2115521', 'https://s3.amazonaws.com/bdnyc/IRS/0825%2B2115.txt', None, '$BDNYC_spectra/IRS/0825+2115.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2004-04-20 01:21:24.442000', None, 'PID51', None)\n", - "('2MASS J12074717+0244249', 'https://s3.amazonaws.com/bdnyc/IRS/1207%2B0244.txt', None, '$BDNYC_spectra/IRS/1207+0244.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-06-06 12:52:17.269000', None, 'PID3431', None)\n", - "('2MASS J23515044-2537367', 'https://s3.amazonaws.com/bdnyc/2351-2537.txt', None, '$BDNYC_spectra/IRS/2351-2537.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-07-05 13:25:47.928000', None, 'PID3136', None)\n", - "('TWA 26', 'https://s3.amazonaws.com/bdnyc/1139-3159+%285-35um%29.txt', None, '$BDNYC_spectra/IRS/1139-3159 (5-35um).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-07-03 00:00:00.000000', None, 'PID2', None)\n", - "('2MASS J07271824+1710012', 'https://s3.amazonaws.com/bdnyc/IRS/0727%2B1710.txt', None, '$BDNYC_spectra/IRS/0727+1710.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2006-04-18 00:00:00.000000', None, 'PID20544', None)\n", - "('2MASS J00345157+0523050', 'https://s3.amazonaws.com/bdnyc/IRS/0034%2B0523.txt', None, '$BDNYC_spectra/IRS/0034+0523.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2006-01-19 00:00:00.000000', None, 'PID20544', None)\n", - "('2MASS J10365305-3441380', 'https://s3.amazonaws.com/bdnyc/IRS/1036-3441.txt', None, '$BDNYC_spectra/IRS/1036-3441.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2006-01-23 19:26:34.143000', None, 'PID51', None)\n", - "('2MASS J17210390+3344160', 'https://s3.amazonaws.com/bdnyc/IRS/1721%2B3344.txt', None, '$BDNYC_spectra/IRS/1721+3344.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2008-08-01 00:00:00.000000', None, 'PID50059', None)\n", - "('2MASS J11145133-2618235', 'https://s3.amazonaws.com/bdnyc/IRS/1114-2618.txt', None, '$BDNYC_spectra/IRS/1114-2618.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2006-02-01 00:00:00.000000', None, 'PID20544', None)\n", - "('2MASS J10170754+1308398', 'https://s3.amazonaws.com/bdnyc/1017%2B1308.txt', None, '$BDNYC_spectra/IRS/1017+1308.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2009-01-19 18:00:15.977000', None, 'PID50367', None)\n", - "('DENIS-P J144137.2-094558', 'https://s3.amazonaws.com/bdnyc/IRS/1441-0945.txt', None, '$BDNYC_spectra/IRS/1441-0945.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2009-03-06 07:56:18.586000', None, 'PID50367', None)\n", - "('2MASS J04455387-3048204', 'https://s3.amazonaws.com/bdnyc/0445-3048.txt', None, '$BDNYC_spectra/IRS/0445-3048.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-03-14 12:24:05.373000', None, 'PID3136', None)\n", - "('2MASS J05012406-0010452', 'https://s3.amazonaws.com/bdnyc/0501-0010.txt', None, '$BDNYC_spectra/IRS/0501-0010.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2008-11-12 03:43:34.999000', None, 'PID50059', None)\n", - "('GJ 1111', 'https://s3.amazonaws.com/bdnyc/0829%2B2646+%2814-35um%29.txt', None, '$BDNYC_spectra/IRS/0829+2646 (14-35um).txt', 'mir', 'Spitzer', 'IRS', 'LL', '2006-05-18 00:00:00.000000', None, 'PID20409', None)\n", - "('2MASS J04390101-2353083', 'https://s3.amazonaws.com/bdnyc/0439-2353.txt', None, '$BDNYC_spectra/IRS/0439-2353.txt', 'mir', 'Spitzer', 'IRS', 'SL', '2005-02-18 03:53:36.569000', None, 'PID3136', None)\n" + "Found 55 spectra with PID references in the database\n" ] + }, + { + "data": { + "text/html": [ + "
Table length=55\n", + "
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sourceaccess_urloriginal_spectrumlocal_spectrumregimetelescopeinstrumentmodeobservation_datecommentsreferenceother_references
str24str67objectstr43str3str7str3str7str26objectstr8object
VB 10https://s3.amazonaws.com/bdnyc/Gl+752B+%285-35um%29.txtNone$BDNYC_spectra/IRS/Gl 752B (5-35um).txtmirSpitzerIRSMissing2005-10-11 00:00:00.000000NonePID29None
2MASS J10042066+5022596https://s3.amazonaws.com/bdnyc/IRS/G196-3B.txtNone$BDNYC_spectra/IRS/G196-3B.txtmirSpitzerIRSMissing2004-04-17 04:40:11.761000NonePID51None
2MASS J10224821+5825453https://s3.amazonaws.com/bdnyc/IRS/1022%2B5825.txtNone$BDNYC_spectra/IRS/1022+5825.txtmirSpitzerIRSMissing2005-04-16 13:45:42.752000NonePID3136None
2MASS J12392727+5515371https://s3.amazonaws.com/bdnyc/1239%2B5515.txtNone$BDNYC_spectra/IRS/1239+5515.txtmirSpitzerIRSMissing2004-04-18 02:01:06.605000NonePID51None
2MASS J00001354+2554180https://s3.amazonaws.com/bdnyc/IRS/0000%2B2554%20%285-14.5um%29.txtNone$BDNYC_spectra/IRS/0000+2554 (5-14.5um).txtmirSpitzerIRSMissing2005-12-18 00:00:00.000000NonePID20514None
2MASS J07464256+2000321https://s3.amazonaws.com/bdnyc/0746%2B2000.txtNone$BDNYC_spectra/IRS/0746+2000.txtmirSpitzerIRSMissing2004-03-27 00:32:11.624000NonePID51None
2MASS J20575409-0252302https://s3.amazonaws.com/bdnyc/2057-0252.txtNone$BDNYC_spectra/IRS/2057-0252.txtmirSpitzerIRSSL2005-05-25 01:56:38.317000NonePID3136None
LP 440-52https://s3.amazonaws.com/bdnyc/IRS/LHS377.txtNone$BDNYC_spectra/IRS/LHS377.txtmirSpitzerIRSMissing2005-07-01 00:00:00.000000NonePID251None
2MASS J12373919+6526148https://s3.amazonaws.com/bdnyc/IRS/1237%2B6526.txtNone$BDNYC_spectra/IRS/1237+6526.txtmirSpitzerIRSSL2004-03-03 20:10:57.708000NonePID51None
....................................
2MASS J00345157+0523050https://s3.amazonaws.com/bdnyc/IRS/0034%2B0523.txtNone$BDNYC_spectra/IRS/0034+0523.txtmirSpitzerIRSMissing2006-01-19 00:00:00.000000NonePID20544None
2MASS J10365305-3441380https://s3.amazonaws.com/bdnyc/IRS/1036-3441.txtNone$BDNYC_spectra/IRS/1036-3441.txtmirSpitzerIRSMissing2006-01-23 19:26:34.143000NonePID51None
2MASS J17210390+3344160https://s3.amazonaws.com/bdnyc/IRS/1721%2B3344.txtNone$BDNYC_spectra/IRS/1721+3344.txtmirSpitzerIRSMissing2008-08-01 00:00:00.000000NonePID50059None
2MASS J11145133-2618235https://s3.amazonaws.com/bdnyc/IRS/1114-2618.txtNone$BDNYC_spectra/IRS/1114-2618.txtmirSpitzerIRSMissing2006-02-01 00:00:00.000000NonePID20544None
2MASS J10170754+1308398https://s3.amazonaws.com/bdnyc/1017%2B1308.txtNone$BDNYC_spectra/IRS/1017+1308.txtmirSpitzerIRSSL2009-01-19 18:00:15.977000NonePID50367None
DENIS-P J144137.2-094558https://s3.amazonaws.com/bdnyc/IRS/1441-0945.txtNone$BDNYC_spectra/IRS/1441-0945.txtmirSpitzerIRSMissing2009-03-06 07:56:18.586000NonePID50367None
2MASS J04455387-3048204https://s3.amazonaws.com/bdnyc/0445-3048.txtNone$BDNYC_spectra/IRS/0445-3048.txtmirSpitzerIRSSL2005-03-14 12:24:05.373000NonePID3136None
2MASS J05012406-0010452https://s3.amazonaws.com/bdnyc/0501-0010.txtNone$BDNYC_spectra/IRS/0501-0010.txtmirSpitzerIRSSL2008-11-12 03:43:34.999000NonePID50059None
GJ 1111https://s3.amazonaws.com/bdnyc/0829%2B2646+%2814-35um%29.txtNone$BDNYC_spectra/IRS/0829+2646 (14-35um).txtmirSpitzerIRSLL2006-05-18 00:00:00.000000NonePID20409None
2MASS J04390101-2353083https://s3.amazonaws.com/bdnyc/0439-2353.txtNone$BDNYC_spectra/IRS/0439-2353.txtmirSpitzerIRSSL2005-02-18 03:53:36.569000NonePID3136None
" + ], + "text/plain": [ + "\n", + " source ... other_references\n", + " str24 ... object \n", + "------------------------ ... ----------------\n", + " VB 10 ... None\n", + " 2MASS J10042066+5022596 ... None\n", + " 2MASS J10224821+5825453 ... None\n", + " 2MASS J12392727+5515371 ... None\n", + " 2MASS J00001354+2554180 ... None\n", + " 2MASS J07464256+2000321 ... None\n", + " 2MASS J20575409-0252302 ... None\n", + " LP 440-52 ... None\n", + " 2MASS J12373919+6526148 ... None\n", + " ... ... ...\n", + " 2MASS J00345157+0523050 ... None\n", + " 2MASS J10365305-3441380 ... None\n", + " 2MASS J17210390+3344160 ... None\n", + " 2MASS J11145133-2618235 ... None\n", + " 2MASS J10170754+1308398 ... None\n", + "DENIS-P J144137.2-094558 ... None\n", + " 2MASS J04455387-3048204 ... None\n", + " 2MASS J05012406-0010452 ... None\n", + " GJ 1111 ... None\n", + " 2MASS J04390101-2353083 ... None" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ "spectra_pid_query = \"SELECT * FROM Spectra WHERE reference LIKE 'PID%'\"\n", - "spectra_pid_results = db.sql_query(spectra_pid_query)\n", - "\n", - "print(f\"Found {len(spectra_pid_results)} spectra with PID references in the database\")\n", - "\n", - "if spectra_pid_results:\n", - " for spectrum in spectra_pid_results: \n", - " print(spectrum)" + "print(f\"Found {len(db.sql_query(spectra_pid_query))} spectra with PID references in the database\")\n", + "db.sql_query(spectra_pid_query, fmt='astropy')\n" ] }, { @@ -3184,14 +1090,6 @@ " print(f\"Reference: {row.reference}, Count: {row.count}\")\n" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "50296116", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "d9ab1e25", @@ -3636,14 +1534,6 @@ "plt.tight_layout()\n", "plt.show()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "39263d33", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From a77e6d2189a4d94f6daaa8da3f3547b63984153f Mon Sep 17 00:00:00 2001 From: canavarrete01 <100876091+canavarrete01@users.noreply.github.com> Date: Tue, 2 Sep 2025 15:05:33 -0400 Subject: [PATCH 03/11] Adding draft --- VisualizingDemo.ipynb | 1632 ++++++++++++++++++++++++++++++++++++++++- 1 file changed, 1611 insertions(+), 21 deletions(-) diff --git a/VisualizingDemo.ipynb b/VisualizingDemo.ipynb index 0ae87c33a..ac98c0f23 100644 --- a/VisualizingDemo.ipynb +++ b/VisualizingDemo.ipynb @@ -34,24 +34,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "80b0998f", "metadata": {}, "outputs": [], "source": [ "import astropy.units as u\n", - "import numpy as np\n", + "import astropy.constants as const\n", + "from astropy.io import fits\n", "from specutils import Spectrum\n", + "\n", + "from sqlalchemy import and_, or_\n", + "import numpy as np\n", + "import pandas as pd\n", "import matplotlib.pyplot as plt\n", - "from astropy.io import fits\n", "from matplotlib.ticker import MultipleLocator, FormatStrFormatter, AutoMinorLocator\n", - "plt.rcParams['font.family'] = 'serif'\n", - "from sqlalchemy import and_, or_" + "plt.rcParams['font.family'] = 'serif'" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "bf58d6a0", "metadata": {}, "outputs": [], @@ -63,7 +66,7 @@ "SCHEMA_PATH = \"simple/schema.yaml\" \n", "db = load_astrodb(\n", " \"SIMPLE.sqlite\", \n", - " recreatedb=True, \n", + " recreatedb=False, \n", " reference_tables=REFERENCE_TABLES, \n", " felis_schema=SCHEMA_PATH\n", " )" @@ -71,40 +74,1627 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "id": "b45dd3a7", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total number of objects in the SIMPLE database: 3619 \n", + "\n", + "Total number of WISE objects in the SIMPLE database: 616 \n", + "\n", + "First Five WISE Sources:\n" + ] + }, + { + "data": { + "text/html": [ + "
Table length=5\n", + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
sourceradecepochequinoxshortnamereferenceother_referencescomments
str27float64float64objectobjectobjectstr11objectobject
CWISEP J230158.30-645858.3345.4929166666666-64.98286111111112NoneNoneNoneMeis20.74NoneNone
WISE J200403.17-263751.7301.013-26.6293None2000NoneThom13NoneNone
WISEA J012834.87-280302.522.145291666666665-28.050694444444446NoneNoneNoneMeis20.123NoneNone
WISE J235402.77+024015.0358.51165432.6705854NoneNone2354+0240Schn15NoneNone
WISEA J001450.17-083823.43.7046-8.639None2000NoneKirk14NoneNone
" + ], + "text/plain": [ + "\n", + " source ra ... other_references comments\n", + " str27 float64 ... object object \n", + "-------------------------- ------------------ ... ---------------- --------\n", + "CWISEP J230158.30-645858.3 345.4929166666666 ... None None\n", + " WISE J200403.17-263751.7 301.013 ... None None\n", + " WISEA J012834.87-280302.5 22.145291666666665 ... None None\n", + " WISE J235402.77+024015.0 358.5116543 ... None None\n", + " WISEA J001450.17-083823.4 3.7046 ... None None" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Query the total number of objects within SIMPLE\n", + "print(f\"Total number of objects in the SIMPLE database: {db.query(db.Sources).count()} \\n\")\n", + "\n", + "# Query for WISE objects within SIMPLE\n", + "wise_sources_query = \"SELECT * FROM Sources WHERE source LIKE '%WISE%'\"\n", + "print(f\"Total number of WISE objects in the SIMPLE database: {len(db.sql_query(wise_sources_query))} \\n\")\n", + "print(\"First Five WISE Sources:\")\n", + "db.sql_query(wise_sources_query, fmt='astropy')[:5]" + ] + }, + { + "cell_type": "markdown", + "id": "31d0bd60", + "metadata": {}, + "source": [ + "### Visualization Methods" + ] + }, + { + "cell_type": "markdown", + "id": "88f4fd23", + "metadata": {}, "source": [ - "# " + "#### Lets first try plotting multiple spectra from a single source." ] }, { "cell_type": "code", "execution_count": null, - "id": "5cb40fb9", + "id": "86f16fd1", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 9 spectra matching the query.\n", + "Found 3 NIR spectra for the source.\n", + "\n", + "NIR Spectra Details:\n", + "0 ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits', None, None, 'nir', 'Magellan I Baade', 'FIRE', 'Echelle', '2010-09-20 00:00:00.000000', None, 'Alej25', None)\n", + "1 ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits', None, None, 'nir', 'JWST', 'NIRSpec', 'F290LP.G395H', '2022-10-16 00:00:00.000000', None, 'Alej25', None)\n", + "2 ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits', None, None, 'nir', 'AKARI', 'IRC', 'IRC04', '2007-08-23 00:00:00.000000', None, 'Sora12', None)\n" + ] + } + ], + "source": [ + "spectra_query = \"SELECT * FROM Spectra WHERE Source LIKE '%2MASS J0415%'\"\n", + "spectra_results = db.sql_query(spectra_query)\n", + "\n", + "print(f\"Found {len(spectra_results)} spectra matching the query.\")\n", + "\n", + "nir_spectra = []\n", + "for spec in spectra_results:\n", + " if 'nir' in spec[4].lower():\n", + " if \"SpeX\" not in spec[6]: # Exclude SpeX spectra\n", + " nir_spectra.append(spec)\n", + "\n", + "print(f'Found {len(nir_spectra)} NIR spectra for the source.\\n')\n", + "\n", + "# Display the NIR spectra details\n", + "print(\"NIR Spectra Details:\")\n", + "for i, spectra in enumerate(nir_spectra):\n", + " print(i, spectra)" + ] }, { "cell_type": "code", - "execution_count": 2, - "id": "25e1a4a3", + "execution_count": null, + "id": "9481f21c", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits... \n", + " Units for wavelength: um, Units for flux: erg / (Angstrom s cm2)\n", + "Updated Units for flux: erg / (Angstrom s cm2) \n", + "\n", + "Loading https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits... \n", + " Units for wavelength: um, Units for flux: Jy\n", + "Updated Units for flux: erg / (Angstrom s cm2) \n", + "\n", + "Loading https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits... \n", + " Units for wavelength: um, Units for flux: W / (um m2)\n", + "Updated Units for flux: erg / (Angstrom s cm2) \n", + "\n" + ] + }, + { + "data": { + "image/png": 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GSdWl5Ozbt8/NlNiX0Tm1lSppeTP3VmL+/Pli3q+//rrPaeXtlqriyXn88cfFuJdfftmvtqth165d1pycHOvtt9/ucRoyppZMy6mtnTt3dqrERxX3yIBbMhQnE2tvRudkNk2G6/JtSlXPtFqtOC68mbXn5eVZP/nkE+vw4cOFQbp0rNE6kJG0pyqRVHmQtpV0vNOLzi2lSmiBGJ1ThT1Px92///4rxlGlNAmqSkfnirwqoK/zV45ao3NP23LQoEGKBuVy1BidU1U2MjSnbUmm22TsfuDAAVF9j44J+j69l0OFFCorK93m9X//939upuJkDk/G5q7nEW0jf43OqUKoZNavxLvvvivG33nnnY5hdEx3795dXAM+//xz8ZmMv59//nnH+tH11Bu0DgsXLhTLpe20dOnSoPYTXQdoGBWa8FRsgMZ///33jnNLOuap8p4rVGHP9TeGCgfQMKXCCFSFkMYNGzbM63ozDMMwgcGRUgzDMEzMQL4kP/30E1JSUsTTctf0n0ChdA1K96In57t37xYRWRQh5clvyBf0ZJ4iHcj8lqKKKIKATHDp6TxFPSkZp5Mfi1br/rNLvkxSqg0hPY3/5JNPnHyf6EURS7TsU6dOiWlofSh9jkyWKe1EyWiY0s8C2Q/eosdoHw0bNkx4SVHkC7WNzK0JNdE4UrspbVDJM0hKxwl1ZAKly1HUEL08+YK5QtuBorrk0VL0/6GHHvIYueEKRUPdcsstTtuU9jtFbVAqIXlLeYKi8ih9iNL86FijY46iayh6hI5B2o6uULoWRSMtXLhQHCs0f4q8o4gUig6kZQaLZAatlB4oDaOIGSmdi9b/zTffFNEw4cST8f0111wj/tP2CwaKHiRjdDqGKBqIlnfxxReLtDCK9lQyp6ftQNc0NW2iCEQ6JygKTw2u/nByrzVv+0hpPxF0TJNnFHml0XWTriHkPUXnjhQF6cl8Xx5RNnjwYPz2228iaolSsl395vzZT/6uh/y8pHPMFYqcIn7//Xen9SYossq1MII0PUVPeUq3ZBiGYQKHRSmGYRgmpiCvFfJCohSRq666KuSeOOQtQr4l1NGhTobadDNPUGoKdXzId4naS6lakgm0GshkXAkyNZf7PtGL0l1ou7iKdZJpd6hQEs8kyG+FOo4kglHnldLgqG2eKq15Q23aZCggQYbSL0k8IL8bb+voCqUUkRk7pU5SuiGlaVH6p9rl0jH2wQcfuIkHUuU/SglVA6Xykfk8meP369dPdPgp7ckbtJ8oFZCmo2OfRFkyhQ6WTp06OdbPFWkYbTOCjhNqK6Wrydef/IRchRXXKmqhQjKOJ3ElWEhYo31G6aUk+m3cuFGkTkpisZIht9o2kVhOHko0Tr6taBsRtM3oM6VxKvnDyb3WKA2Wrk+UhqZk1O+6nySogiOlGm7evFmsEx0zJJJL6W5q14/86chonJYvmZ4Hsk28HWtK60HilCTSK4nekiAm982itENP05OZOolWJOYqicAMwzBMcLAoxTAMw8QcFG1EZeDJjJwMu0MNRQJJ0S/yanm+II8UimTwhOQ3oySkUQdIyQRc6lCRoa68Y0UG40qQDxOZbBNkxEueQfT0XuoQy6HoBG8+V4FAHisEiSxSB9JffLVbqsDo2lkOFDJQp+g4MoT/7rvvHJEQtG3kFbs8QQLW008/7TheyJOGOqpqmDBhgvDgougwV/GAhlEHmSLrXKswUuSdJ4GG2kPr43qsUSVLik7xJGiRkOX6nUChiBK5QbQcaZhkIk/rQmKq6/qT2byrsKJW7FOCIsPIo0gJ6TyQjLzDAQl/dGyRybwEHV8UIaa2TXTsU0Sc67aS/OJom9FnNRX+KDqLjnna30pRh7SfSBimogpq108ezURQxB4JtZ6KU0iebbROge4nelBBohBFqLlCxxWdP3T9lIQlQhLtpAIJSobt8oqB0vmkND1Ff9I2pH1LkYsMwzBMaGFRimEYholJ6Mk8pY388MMPYal8RJ1fSk2hqBe1kU3UOfnzzz/dKjdJUMQEoVRWnDptZFgth1L2tmzZItLgJAN06vBRuXky13WNgKKoKorKkkq4U4eSDLA9pSVRhAwZnrt2EuUdSDJI9yeySzItdo1yUiPuSHhrN0V0ULQILSfQ9Eo5UrompT5++eWXThFSZMJMHWo1UNobdXwpCsNTNTFXaF0oooZS15SgTi6l4CkZnlNnWzKW9nSs0bpI0UYEGWZ7ivwjQZQiX0hMC0XlO0pdozQtOj/lUDQJpXdSCiaZSUcSEjtofypFBdH5JE/FChQykFeaB4nLJAiScC0XVOi8IIN3pWp2dJyHok3ekEQ+1/1E1x4SuEhAk1KIJVGIUn7lIhJB1zxKeaUoKXl7SZSidNY1a9a4LZui4yThS36c+ruf6Dij440EI9drKEW9UttcxUypKqY8RU/ijz/+EP/lxyelYNJ2oEqortddaXq6htC1mWEYhgkxAXpRMQzDMEzIjc6VjLrJnJymC8bo3JNxMZmV0/hzzjlHVZvJZJmmHz16tHXnzp0O42oyo37ttdeEcTWNUzKLJmPvc88917phwwYx7Pjx49YLLrhAGEb/9ddfTtNTe2letDyat2ReTYa+ZB5cWFjomLaoqEgYEzds2FAYGxNVVVXC6DorK0uYo8vp37+/w6SbjOXJMPu3335zaiu9PPHoo4+KbXD99dc7TK5pncgg2JvZtyvydi9btsxhkPzYY49ZNRqNdfz48W7f8dfofNu2bdbGjRtbGzVqJNrl+qJ5KRlny43O5ZBRvZJZvSejczLCJoN9V+NkOVu2bBHfzcjIcNqvkrE1mWAfOnTIMZyOg4cffliMe+qpp5zmRfuNjptXXnnFycSfzN3HjBkjvvPZZ59ZQ2F0TpARtmRIbzKZrOXl5dZ77rlHmKv/+eefPucdaqNz6Xy/9957HecNmYyTQTYNv/rqq70a+KsxOpf2NZmE0zpLxvd0LA8ZMsRaWlqq2G4697dv3y6G0Xb66quvRGEEMjVXMvt3JRCjc4kbbrhBHF9//PGHw2R8wIABwoScTMGV9gldx6TjkY65UaNGWZs2bSque0rT03osWbLEcX7k5uaKdVY6TgPZT3St6dKlizDP37FjhxhGpv10LSOTcqVz7JZbbhHbmAzQaTxdX9544w3H9ct1GXQdJoN3OleoXTSerk203nQN2bNnj9/bnmEYhvENi1IMwzBMRKmoqHBUwqPOAb2n6maeoKpdOp3OTZSizok0DxJ2aD5SpSXqfNHnzMxMp+p71ImWQx0oEnmkdowYMcJr26lz/84771gvvvhia9u2bUWHqFatWqId1DGiDquSaCEJPdSZuvTSS63NmjUTbaNKU1SlSolFixaJimt16tQRHSJaX6rIJ3Xi5BQXF4tKXjRNvXr1RGeTliNV9JNDw/r16yfmS50tEjio8/Xxxx+LbUCiBr3ofc+ePd2+T4IXiR7UCaUOX/PmzcV2e/PNN8V2pPWi78oFFk+4tpteJNS5inRUKY/mKd/X9KJjyRsPPPCAowqXp5dc5KDjg+ZLVe6k9ZA68p4qsdE0dHzJ152+c8011whRkDq5NGzx4sVu3ychk8aRCEffJ+Hyrrvucgh9JPbQ9mjdurU41qjqG4l4dPxJlQDlUAeazgESWel4o+9Q2+h4o46+p2PNGzQfap8nZs2aJY5jOgdo/w0dOtS6YsUKr/OcOHGi0zXA2z6l7UjD6TyjaWnfSNMeOXLEaVoSd+g4pupq1G5qD20zah9VxfQkSNH5onS9IAHXlfXr11uvvfZaIcJKVfjofProo48UhRFan2nTplmvu+46a7t27cQ+oeOiW7du1meeeUaIs76ulfSSqh3SNqPPtA3VQtckEtHoOkvbhK4nN998sxCbXCHx54477rB27dpVCNY0bceOHcW1h4QjV0iYmz17thCAaP60fvQ9Ok4vueQSJ8E72P1EVQDvv/9+cTzTd9q0aSMELk/XAVpvWg5d46lNtIwzzzxTnOeelkHXR6qeSOcifYf283333ScEfIZhGCY8iLuMUEdfMQzDMAxTjeR14k+KG8PEAuS7Q2mjlKbFMAzDMAwTathTimEYhmEYhhFeWXKPLzJ3JiN68hhiGIZhGIYJByxKMQzDMAzDMKKyI1X8I0N/Mo9+7bXXhEE6mXczDMMwDMOEAxalGIZhGCZMPPPMM2jYsCEOHjwoXvT+5ZdfjnazGMZjhUGq4NesWTPUqVMHM2fOFNUDaTjDMAzDMEw4YE8phmEYhmEYhmEYhmEYJuJwpBTDMAzDMAzDMAzDMAwTcfRIMvbs2YNHHnkEqamp+PHHH53G9e/fH2lpaeJ98+bN8e2330aplQzDMAzDMAzDMAzDMIlN0olSK1euxLBhw7BgwQK3cTT8ueee83ueZAJ65MgRZGdnQ6PRhKilDMMwDMMwDMMwDMMw8Qc5RRUXF6Nx48bQarXxI0pVVVUJY9i33noLu3btQsuWLZ3Gz5gxA6+88oqIaKIV+/jjj9GlSxfV8yezzgkTJnisOvPGG2+IDUcC1cCBA1XNkwQpMgVlGIZhGIZhGIZhGIZhbFCxn6ZNmyIuRKl9+/YJ0ah9+/aiFLErq1atwtixY7F27Vq0a9dOpNcNHToUW7duFVFKRJ8+fWAymdy+O3v2bKHQeeOJJ55A3759UVFRgV69euH3339H69atfbZbWjZt7Bo1avixxow/FBQUICcnJ9rNYBhGAT4/GSY24XOTYWIXPj8ZJjbhczM0SBV9Jb0kLkSpkpISTJo0CYcOHVL0c3rttddw8cUXC0GKGDNmDP773/+KyKf77rtPDFuzZk3AyydBiqAorDPOOAPLli1TJUpJKXskSLEoFT4oTZK3L8PEJnx+Mkxswucmw8QufH4yTGzC52Zo8WVxFFPV97p27Yq2bdt6HD9//nwRCSVB6Xu9e/fGvHnzgl72tm3b8PXXXzs+7969G23atFGctrKyUqh+8hfDMAzDMAzDMAzDMAyjnpiKlPJGXl6eEH8aNGjgNLxhw4ZYvXq16vnMmjULM2fOxM6dO/HBBx/g/vvvF8NJCaXh5A914sQJjBw5EgMGDFCcx6uvvornn39eMcyPVFUmPJSVlUW7CQzDeIDPT4aJTfjcZJjYhc9PholN+NwMDWqDd/TxdmCkpqY6DafP/hw0lP5HL1fIb4pM1NXw5JNP4uGHH3bLlaS8Uw7zCy+c28swsQufnwwTm/C5yTCxC5+fDBOb8LkZPN4q7sWlKJWRkeFInZNDn6VxkYKEMFdxjGEYhmEYhmEYhmFCBRX/MhqN0W5G0lFVVSWKnzHeMRgM0Ol0CJa4EaXq1KmDmjVr4vjx407Djx07psqMnGEYhmEYhmEYhmFiHavVKvq5ZA/DRB6y5CH7IEZdRBlZKvkyM08IUYoYMmQI1q5d63Syrlu3Dk8//XRU28UwDMMwDMMwDMMwoUASpOrXry+ygoLp8DP+YzKZoNfHlVQScUiLIRsl8uMmGjVqFPC84mpLP/HEE7jwwguxa9cuUaVv8uTJIlxs7NixUWnP+PHjxYvCKhmGYRiGYRiGYRgmGKhvKQlSlC3ERB4WpdSRnp4u/pMwRcdroKl8+ljL3bzoooscYYqjRo0SBuLTpk0Tn/v164cJEyaI4bQByDjrzz//RHZ2dlTaO27cOPEio3NKLWQYhmEYhmEYhmGYQJE8pCLtm8wwgSAdp3TcJoQolZKSgoULF3qdZuTIkeLFMAzDMAzDMAzDMIkIp+wxyXKcqqvRxzAMwzAMwzAMwzAMkwDpeZIXUrxx4sQJ0f5EgkUphmEYhmEYhmEYhmECZtWqVTj33HNF5EzHjh3Fe/krLS1NTPfCCy+I8TQdDafvKX33rLPOEu8feOABVFRUOJZz5ZVXimpvVPXNdRk03FfmFZnIDx8+HKdPn3YbRwXUaL7y5RGLFi1C//79Rfv27dunepu8++67uOKKKxyfV69eLayIqK2DBg3C2WefLeYt57nnnkOPHj2c1ovWWYLaPWLECLEeiUJMpe/FG2x0zjAMwzAMwzAMwyQ75P9MghAJN1Sg7Oabb3Ya37JlS/H/mWeeQfPmzXHLLbc4CUhK3z1y5Ai6deuGrKwsvPzyy2LY9OnTxXgSh1wFKNdlKlWMo2nuvvtudOjQwW381KlTUVhYiNmzZ+Paa691DB88eDB+/PFHtGrVyq9tQiJZ69atHZ+ffPJJnHnmmWJexBdffIFhw4Zh3bp16NSpk2O69957T4hRSlC777rrLtx6662inYkAR0oFAZmc5+bmCsWTYRiGYRiGYRiGYRh3Jk6c6Pd3GjduLMQZKm6mhkceeQRnnHGGx/E0nz179jhFHkksX74cffv2FcKTJBoFy/XXX4933nnHSVB68MEHHZ9vv/12UeXvl19+8Wu+1P6dO3di3rx5SARYlGIYhmEYhmEYhmEYJuRQNBNFJ1G0USBQVTc1ZtoUiUVRVbVr1/Y4zc8//4zzzjtPcX7ff/89Ro8eLdLr/vjjDxQVFflcJqXQXXPNNejTp49IxRs7dizy8/PFuAkTJoj0QylCjKAsq3r16jk+UztSU1NRWVkJf6Dv0Xr89NNPSARYlGIYhmEYhmEYhmGYGIXSziqM5oi/aLnRZMOGDZg/fz7uuOOOkMyPoqHk6XQSZMdDyxk6dKiIbiJPKRKwfHHVVVehTZs2WLNmDZYsWYL09HTxfYKEOEpF9AZFO50+fRpXX3210/Cvv/5aRIgNHDhQCF27d+92+y4td9myZUgE2FOKYRiGYRiGYRiGYWKUSpMF13y6POLLnXb3AKQZdH5/77XXXhORQkRBQYEw7vb3uwcPHkRZWZlIbbvwwgvdplu/fr1H3yVPHD9+XDGSigQpinQyGAwi2qpLly4icop8rzyxYMECIQr9+uuvjmEknlHUFIlIJBr54sUXX8S9996Lrl27OoaR31bNmjWFMKXVaoUxfO/evbFlyxY0adLEMR0ZstP6JAIsSjEMwzAMwzAMwzAMExLkZuWUvicJVP58t7i4WIhOn3zyiaIoRUKX3OhcnibnCTIxJw8nV1wFKDI5JzGI0vPIrFyJzZs3C9FIHuVkMpnQokULHD161Kco9c033+Dw4cP46quvnIaTgbmc//3vf/j000/x8ccfO8zeCRLQlCoIxiMsSgUBV99jGIZhGIZhGIZhwkmqXiuilqKx3GAhYcnfiCYiOzsbb7/9tvBOoup0vXr18jo9VePzBUUXkUeVHErVmzNnDvbu3evwmqIILerjk+G53JhcCYqy0un8iyb7/fff8eWXX4rlGgwGr9PSvElwc03ho/Xw5p8VT7CnVBBw9T2GYRiGYRiGYRgmnJBYQml0kX6pMRgPJyRmUeraW2+9pWp6Eq/Ip8kTFPUkGZFLzJo1S0QnLVq0SERe0YvS8gYMGCAiqDxBKXcWi8Vteffccw/y8vI8fo/m//zzz2PmzJlCeDt9+jSmTZvmGP/AAw+4fefIkSMirU8OrUeDBg2QCLAoxTAMwzAMwzAMwzBMzPHQQw8J0YY8pnzx22+/4Z9//vE4nozDd+3a5TTshx9+wA033OA27ZgxY0Twiev0EhTBddZZZ4mUOhKnCGrntm3bUKdOHcXv0PxoWc888wz27NkjDNKXLl0qhDH5OtBLgiKqTp486ZbWR+0iH6xEgEUphmEYhmEYhmEYhmECZtWqVY40PTIrHz58uOJ05NVE4wmanr7n+t3bb7/dyd+JIoLIV+rZZ5/FxRdfLEQciorq37+/04sEHF/V8v7++2+HiEQ+UrNnzxYZUHJLnrVr1wqjceLSSy8VkU2jRo0Sn+k/VfEjpk+fLtLoKGqKRCqq2DdlyhSPy//Pf/4jop4uu+wy9O3bV7wuu+wyp2lI5HrvvffE9iDRa/LkyZg3bx46duzomIbaT0brrlX74hWNNdp1HhOAoqIi4ZBPxmk1atSIdnMSFqrcQHnADMPEHnx+Mkxswucmw8QufH4ySpDHEfkbtWrVCmlpadFuTsJxxRVX4JprrlGMjpIblisZoquhvLxc+EClpKQIkeyNN97Ajh07EEq+++47zJgxQ4hgsXy8qtVJOFKKYRiGYRiGYRiGYZiEh6rdkYH5li1bwjJ/ipSiannExo0b0bNnz5DOf8uWLZg6dSo+//xzJApcfY9hGIZhGIZhGIZhmISH/J5+/fVXEb0TDijN7o477hD+UhQt9c0334R0/o0bNxbtj7YJfShhUSoIxo8fL17y/FOGYRiGYRiGYRiGYWITrVaLWrVqhWXe5G21adMmhItaYWp3NOH0vSAgQ7Tc3Fzhos8wDMMwDMMwDMMwDMOoh0UphmEYhmEYhmEYhmEYJuKwKMUwDMMwDMMwDMMwDMNEHBalGCaGySuphNVqRXmVGUcKyvHh/J3Yc7Ik2s1iGIZhGIZhGIZhmKBho3OGiVGW7T6FV2dvw8C2dfHPrlOO4X/lHscXN/VBw5ppUW0fwzAMwzAMwzAMwwQDR0oxTIzy46qD4r9ckJL4dNHuKLSIYRiGYRiGYRiGYUIHi1IME4dUmizRbgLDMAzDMAzDMAzjhdLSUhQWFiIeOXLkiLCSCTcsSgXB+PHj0blzZ/Tt2zfaTWESDDr5954q9Ti+qMKIA3llEW0TwzAMwzAMwzCMEnPnzsW5554LjUaD22+/3WkciTI0LicnB/3798ekSZNw4MABMSwtLQ0tW7bEf/7zHzEt/afPNJzG06t79+4488wzsXjxYjfB57HHHkO/fv3EdDTvCy+8EB9++CFigW3btuHSSy+F0Wh0G3fDDTegY8eObsOnTJmCHj16iO3oDw8++KB4ScybNw+XXXYZhgwZIrbLsGHDsHHjRqfv3HzzzWKctJ3pJe0HYteuXbjiiivEdg4nGmskpK8Ep6ioCDVr1hQnW40aNaLdnISloKBAXMgSHYvFiilrDuL7lQd8TvvxDb3QrHZGRNrFMN5IlvOTYeINPjcZJnbh85NRoqKiAnv37kWrVq2EMBNvSGLKzJkzcckllziNI9FjwoQJQnSSoPckjjz33HOOYfSeptu3b59j2BNPPIFPP/1UCCV169YVw2655RYcPXoUv/76K1JTU8WD/VdeeQXffPONmC5QTCYT9Prg7LcrKyuFWPbVV1+hT58+TuPKysrQqFEjoSOsWbMGvXv3dhq/cOFCnHfeeX5FKb311lvi/6OPPir+t23bFo8//jjuuOMO8fn//u//8Pnnn2PLli2oV6+eGCZtd/n+cOXtt98W2/KTTz7x+3hVq5NwpBTDxBgfL9ylSpAithyJz1BQhmEYhmEYhmESjxYtWoioHBJDTp1y98YNFIosInFjxYoVjmEkRlE0EAlSkiD28MMPizZEGxLGSPxxFaSkdpOglpmZie+//z4kyyMxShKkCFrubbfd5vhMUVQnT54UEVT+cM8994g27ty5E+GCRSmGiTH+3HI82k1gGIZhGIZhGIYJWJChaCMSNEKFlAInT2tLSUkRIovZbHYMS09Px/z588X77du3O1IKKeJn+PDh6NWrF3r27Im1a9c6zf/bb78V48455xzxmjFjhtP4VatWieGURkgRUKNGjcLWrVs9tvfnn3/G+eefrziORB5KcSRBbcqUKbBYfPsF79ixQ4h9lG43cOBAITKVl5eLca+99pqIdqJ1lfjxxx+h1VbLPVIUE0Vw+UNGRoZYZ1qfcMGiFMMwDMMwDMMwDMPEKpTGZSyP/CtAp5+GDRviiy++wE8//YTvvvsu6NUngeuDDz5AmzZthEeSxJ133inEozPOOAPvvvuu8KmS06FDB5EKR1Bbpk+fjnXr1gmfpMsvv9wh0Pz5558iwuq3334TvlUkqt14441Yvny5GE8RRhdddJHwW1q5ciWWLVsmorboe56g77Zu3dpteH5+vjAQ79q1K66//nocPnwYixYt8rr+1M6hQ4eKdlOkGE1PKXWShxSlNlIqnjeoPSTYuaZUvvrqq0LMGjRoEMaNG4fjx90DJGi70zqHi+ASJRmGYRiGYRiGYRiGCR+mCuDrYZFf7q1zAEN6QF8lAYXSx+677z4hejRt2tSv7x87dkx8r6qqChs2bBCRSatXrxbCisQLL7wghB8SpEhUeuSRR0R0En0m0UcORSZJ3yUx5/nnnxfRP6NHjxY+VDR/qY0kwpCn08cff4wBAwbgo48+Ep5INA1BflP/+9//UFJSoth2MganV+3atd3GkTh29dVXi/ckNNWqVUtETtHyPEHj8/LyhAgnLZ/S/6g9JNZJ6YueIG+ql156CS+//LLDj4to3769SHUkvyiKNqPINorE2rRpE7KyshzTkfcdiXnhgkUpholr/KvKwDAMwzAMwzAMEwnee+89EdVz6623eo0q8hRtJUU5/fDDDxg7dqwQTVw9mihCiF6U3jZ58mQh0lCaHXkg1alTxzGd3GeKzLdpnJR+t3nzZhw6dMiR/kYiDolAUnU8Gk9ClZyzzjrLY9spiopQMkundaFILCn98MorrxTi2Pjx48VnJWj5JBrJo8TIYLxJkybC6N2bUTlBZubNmzfHQw895DT8qaeecrynVL933nlHiGTURskgnTAYDDh9+jTCBYtSDBMjFffem7cD5cbqfGg1jF+wC4Pa1UVWKp/KDMMwDMMwDJOQ6NNsUUvRWG4QULQNpe9RahiJLoFCaW6fffaZiIyiFDt5NBWJV1LUD0U/UXoaeT4tWbJERGupZcyYMeL7oai+J1XVlHywJChVj6K+5Kl2BQUFQvCZPXu21/ZShJMk0vkDVSz8999/ReqiLygajMzZd+/e7TSc1kMp6itUsKcUw8QAuUeLsGD7SazYk+/3d79dXl0qlWEYhmEYhmGYBIPMvSmNLtIvmal4oJBJ9v/93//h8ccfd/N88gdKzfv999+FebkERQ5RVJOrjxQhTz8j5MsmIYgioTp16iQ+U6qffL7EggULRFqbNH7Pnj1O49esWSOEJE/m4NnZ2cI/Sg6Zj5MpOYlL0mvdunUi4slbFT5aPkVEFRcXOwlFFD1GAponKOKJ0gWnTp0qRDZaB3n1vQceeMDNu4q2C0VVyaH1aNCgAcIFi1IMEwNUmX1XXPDEiSL/KigwDMMwDMMwDMNEChKlyIx87969Ac+DIqDatWsnUswkysrK8MYbbziEKfpPKYOUqkfeSHImTZrkqFb3/vvvo3HjxrjqqqvE56efflpEYFEUE0F+UJTaJqXv3XvvvSIlb9q0aeIz+VyRSEZpbZ6gCnlkRi6H0vSuueYap2FarVb4WpHgJhed5NB48rsiU3IJWk/6rqeILpofGaDTulH6H4loc+fOxdKlS52iqGi4BPlOUfqeaxtpPc4++2yECxalgoBCEDt37oy+fftGuylMnKP0DOKy7o1xdW//DAEZhmEYhmEYhmEiDQke5MkkGZTn5uY6xul0OpHGJ49eosglafoJEyaIynYE/afP0nwkEUWj0QiD8okTJ4rhJHCRVxJVyyMzchpGUVlk0k3+Va6RUtddd5149erVC7/88ot4SQbhVFnv888/FxX3yCtqxIgRQoiSzMcppe2vv/4SflW0jMGDB4uUwgsvvNDj9iDBSx6VNGzYMGzcuNFhVi4xa9YsEXFFghl5Yb3++uuOqnrSelI7aZ0oDa9bt25i+SQUkQG7J8gInbYxRZORXkGvu+++22mat956S/hM0XrSetH8KUKM1leChDIymJcEvHCgsbrGuzF+U1RUJMzSSD2lPEwmPFCYpZSfm2isP1iA//2y2WnY+NG90LxOBi79sFrNVqJ3i1p47rIuYW4hwyTv+ckw8QyfmwwTu/D5yShBBtYkRLRq1QppacF5OjFwCFoktkhG5r4I1lNKSq8jgYsimihqKhyUlJSIioIk+lE02qpVq4R4Fkooeoo8r95++22/j1e1OglHSjFMjNOnZS2v40OQ6s0wDMMwDMMwDMOECErtIy8nMmc/ceJEWJbx1ltviUgrgqKwevbsGdL5z58/X1QofOWVVxBOWJRimChTUmlyi5KSw7GMDMMwDMMwDMMw/kHm5VJ0FKXEzZgxI6LLp+ihmTNnCuPzcNCrVy/hG0WRWOQv9eSTT4Z0/j169MDkyZMdaY7hguvIM0yUmbhMuXpejXTb6XllryZYu/90hFvFMAzDMAzDMAwTv1AlPqpwF01SUlLEKxxcdtll4hUu6tSpg0jAkVIME2XmbD6mODwnw3bxOqNpDr4c28fj99fsY8GKYRiGYRiGYRiGiT9YlGKSkkkr9mPScuUIpVjgo9HO+cC17AIVwzAMwzAMwzAMwyQKnL7HJB2Ld5zE1NUHxfsrejZBdpoham0przK7DZt53yC3YXotu5kzDMMwDMMwDMMwiQVHSjFJRe6RIrz553bHZ5M5ui7ir8/Zpmo6rrDHMAzDMAzDMAzDJBocKcUkDZd+uNRtmCXKpe3UGphrWJViGIZhGIZhGIZhEgyOlGKSgt82HFEcfqyoAtFizuajbsPeuqa7x+mzUllDZhiGYRiGYRiG8URpaSkKCwuRSJw4cQImkwmJCotSTMJzML8MXyzeozjuiZ83IVqMX7DbbVirupkep7+sR2O/osAYhmEYhmEYhmEiwapVq3DuueeKDI+OHTvihRdeEMOvvPJKNGzYEDk5OWL84MGD0aVLF5x//vnYtMm9L3bw4EHccccdOPvss8W0/fv3xzXXXIMpU6agosJ7QMG2bdtw6aWXwmg0OoZ99tlnOPPMM8WyzznnHDG/xx57TIhXkcJiseCdd95Beno6Fi5c6DZ+6tSpuOiii8Q26du3r1jfffuqi3KdPn0aI0aMwLFjylXb4x0WpZiEZ27uccQLBh2n6TEMwzAMwzAME1/069fPIbg88cQTeOaZZ8T76dOnY9iwYejRo4cYv2jRIiFGkVB12WWXOQlIW7duFaLRhRdeiCVLlohp6X/79u0xatQorFixwuPyKysrcd111+GNN95A3bp1xbCJEyfi+eefx6+//iqWvXjxYrz66qt47733hNATCWg5tD4kmHkS1caMGYNHHnkE8+fPx8qVK4V4RduM1ono0KED7rrrLtx6661IRFiUCoLx48ejc+fOQs1kYpcZ/x5GPHBuh3rsHcUwDMMwDMMwTEKj1WqFyETRQNu3Vxehuummm0SU0LXXXusYZjAY8PLLL6Nnz55e5/nNN9+gXr166NOnj2MYiVGDBg0SApjEeeedJ6Kp9PrIWKNQRNbrr7+Op556yuM0l19+OYYOHerYNvfff7/YLuvWrXNMQxFnO3fuxLx585BosCgVBOPGjUNubi5Wr14d7aYwClgs1rhKa7vhzBbRbgLDMAzDMAzDMEzYkSKkpIfy1Kdes2YNrr/+esXpv/zySxEQ4omff/5ZpL/JSUlJEWmFrlFRFL0lF6pI7Bk+fDh69+6Nbt26CVFIimr66aefRJQXtXP27NlC0GrcuDGuuOIKMf65554TUWKUHkjBKtROOU2bNnUSypSYNm2a0+e0tDTxX4qUkrYTCWrUnkSDRSkmoSitNOGPTUdxqqQSl4//B7GKVaHqn07rPUpKo0KES1Y2HirA7RNXY92ByIThMgzDMAzDMEwk+w4VpoqIv5T6LKGKHvr0008xcOBAh9BEaWtEp06dFL/Tq1cv1K9f3+M8ly9fjtatWzsNu+2223Do0CGR/kYphfLIIwkSfihKiTys1q5dK15btmzBAw88IMZfffXVIt1PEs5mzpwp0gApxY6YNGmSIz1w1qxZIm2RxgfD8uXLhfBF20dOmzZtsGzZMiQaXM6LSSg+mL8Ty3bnAQvdTcRjCaXruy9RytdPgtlqhdandJU4nC6twumyKrSul4WnZ2wWw579dQtm3jco2k1jGIZhGIZhmJBRaa7E2DljI77cicMmIk1vi9oJlvXr14toIhKkyFPq4YcfFgKOFCklVczLysrye940T3rVrl3baTh5OZFY9NJLL+HNN98UaXQkglE6oBTp9P333+PIkSN48MEHHdFVFClF/lRk1t6gQQPH/G6++Wbxv23btvjhhx/E+7///huNGjUS70k0I3P2P/74Q5iqB0JlZaVo60cffSRSF+WQWfzx4/Hjl6wWjpRiEorle/IQD7w3f6fbMF2QflITl+0TkWLJwk1fr8IDP67Hr+vjwzOMYRiGYRiGYZIVyeicoo2effZZ4c988uRJJ8GFCKQqniRoKflEkafUnDlzROU6is4ym80YOXKkEJOIzZs3C1EpIyPDKSKJpiOrHtdUPFdIYKNIK1oOiW4LFiwIqkreXXfdJQQxaqMrJFJFyqA9knCkFJNQaFREFHVsmI1tx4odn3OPFKFz4xqIJAu2nXD63DgnDdlpwZ2Ov64/gtJKMx64oB2SiS+X7I12ExiGYRiGYRgmbKTqUkXUUjSWGw4ee+wxfPXVVyIi6IMPPhDDzjzzTPGfhCDpvVokQUteyY84deqUGEdiFZmgk+BDle4oze+3337DkCFD/FqOTqdz+kwph2RSPmXKFJHmJ0VTBZr2+MQTTwhx7MUXX1QcT+vnGg2WCHCkFJM0fHNLX/x8z1l485ruTsMf/3kjos0nN/SG1kf6nhp2HK8W2xIVo9mCaWsORrsZDMMwDMMwDBMRKMWN0ugi/QpXZXASiciz6euvv3ZE/pAZeP/+/YXA4wqZjpOo9PvvvyvOj4Sc7Oxs5OfnOw1/9NFHhXm6nMzMTDRp0sSRJti1a1ccPXoUZWVljmn27NkjBChvxurE0qVLxTa66qqrHMOqqqoQCK+99hoOHjwo0vYIyd9KDq2fPJ0wUWBRikkKrurVBHWzUpGidz/kW9bNRLRRI0ip+UmwhMmMMJagiLBvl++PdjMYhmEYhmEYhgmQW2+9VaSjUUqdxHfffSeqy8krzFE63x133CEq3F188cUe50em4Lt27XIb/sYbb6C8vNzxed68edi2bRuuvPJK8Xn06NHCVFyK2KJopA8//FCYpPsSgEi0ojS/RYsWic95eXmO9/7w6aefinW/7777hBk7CWlkqE6pgXJo/ciQPdFgUYpJKDwVoLt5YCuPQlSqglAVSS7qrE7tHtLJc7UJiSTQpPD9Su+CVHGFc9guwzAMwzAMwzDhZdWqVcJTSYr6IZNwgsQf8nSSjM4l4Ygilu68805hPk7DSTgiLyeqPEfTk8hEwynFrl27dvj555+9Rm5RtBIJTq7CFy2HTMfPO+88MU9Kjfvll19ENT8iNTUVf/75p/C76t27txjesWNHR8U9aotkgk7tkQtmw4cPF/5YN910E84//3wR/UXfpe888sgjjuloG4waNUq8p3nRfEjMIoqLizFu3DhR8W/AgAHo27eveD3//PNO62KxWIRflZQmmEhorOGq85hEFBUVoWbNmsJgrUaNyHoTJRMFBQWOfGFPXPrhUrdhtw5qiZE9nU3p8koqcfM3q8X75rUzMP4G20UpEhSWGzHmS1vJU+KxoR1wTvt6qr6791Qp7v/hX6/TJHr1OaV9LGdg27p4YnjHiLWHUX9+MgwTefjcZJjYhc9PRglKVdu7dy9atWqFtLTQVL5LBijC6ayzzhJiEolPwWAymRRN06PJd999hxkzZghxLl6OV7U6CUdKMQnDTg9+Sl0b13QbVier2rTvQH51/nAk2HzYVh1CYlDbuqq/m2bgU9YXy3afinYTGIZhGIZhGIaJIJQKOHXqVBGhdeKEc1GpeGfLli1i3T7//HMkIrEl/zFMEDw8dYNialy7BtmIJVyDTv0xODfoWJTyBcd+MgzDMAzDMEzyQdE65MUUqNl4rNK4cWP8+uuvYTOejzbcw2USglMllYrD7zu/HWKNX9YfDvi7ZNZeJysFyYrFk2kYwzAMwzAMwzBJT0pKiqOyXqJQq1athBWkCBalmITgFrs/lJw3rj4DscjWo8pphmq5aUALJCNVJgve/Gt7tJvBMAzDMAzDMAzDhAgWpZiE5OazWqJTI/Wm89PXHUIkKK+yVVkIBovFt3iTaGw9WoSrPlmGpTvV+UVx/QaGYRiGYRgmnuH7WSZZjlMWpZiE5MpeTfya/pt/9iESLNwevOmer9OexJviCiMSicd/3ujX9EYz/4gzDMMwDMMw8WnYTZSVRbYYE8MEgnScSsdtILDRORP3FJa7CzBqcm7P61APC7afRCQxh0BJVqNGT193GGPPaolE4HhRhVfz8hv7t8D+/FIs3lEdRVVltiBFz5o7wzAMwzAME1/odDrk5OQ4KshlZGQktJ9QLGIymaDXs1Tiq09KghQdp3S80nEbKLylmbjn4wW7Avpem/pZERelPlu0x+lz/9a1/Z6HGlnrcEE5EoXbJ67xOv7avs0wablzpNvRgvKYq7rIMAzDMAzDMGpo2LCh+C8JU0xksVgs0Gr5AbcaSJCSjtdAYVEqCMaPHy9eZnPwPkFM4Czbnef0+dMbeyNeeGJ4p7BESi132SaJjusWeWfuDnwyJn6OA4ZhGIZhGIaRoMioRo0aoX79+jAaE8uWIx4oKipCjRrq/YmTFYPBEFSElASLUkEwbtw48aKDtmbNmtFuDmOnSU66quliQbjRaTkUNxRYLM6y1Mniyqi1hWEYhmEYhmFCAXX4Q9HpZ/yjoqICaWlp0W5G0sAxaUxc880/e50+Pz6so+rvbjlShHisoOGivyQ1F3RqIP4P79bIaXhlAlYgZBiGYRiGYRiGSTRYlGLiGjL0ltO+QRZilXUHCpw+z7xvUEDz4eqwNhrnpOGec9uI9w1qpGHa3QOi3SSGYRiGYRiGYRjGD1iUYhKKGumBl6IMNxsPOYtSgWJVZXWeGOw4XuxxXLcmNZ0q7KUZOLSZYRiGYRiGYRgmnmBRikkoYlmYWL0vPyTzITEmWXhk6gaP4/Q6rV8+UwzDMAzDMAzDMExswaIUw0SIg/nlIZlPizqZeH9UD1zbpymSmXQfAqSF8xwZhmEYhmEYhmFiGhalmLhlz8kSp885GYaYMCJXoqgitKVcW9fLwsC2dZHIrNzjvTqiwUeklJlFKYZhGIZhGIZhmJiGRSkmbvnXxTj8nsE202u1NK+T4fQ5nBrG6r2hSd1LJj5asMvreK3G+/dNZhalGIZhGIZhGIZhYhkWpZi4pazK5PQ51eDf4XxhpwYRi6wpLA9tpFSio8YPqlFOutuwdrLqi39uORbydjEMwzAMwzAMwzChg0UpJm6ZuuZQSOe3bv9phIvV+5znPaxrw7AtK94xmi2467u1KCjzLuSdrZC+eO95bR3vNxwMTbVDhmEYhmEYhmEYJjywKMUkLed2qOf0+aVZW8OynAqjGZsPFzoNu21Qq7AsK1HSMo8VVnidZuZ9g6BVyN8jry2JdS7pnQzDMAzDMAzDMExswaIUk0D4MBlyIScjBZFg76nSiCwnUZjxb2gj4BiGYRiGYRiGYZjYhEUpJmHo0SwHsUhJpbP3FeOZIwXl2Hy4KNrNYBiGYRiGYRiGYSIAi1JMXHIwv8zp86h+zaDzVY4tSuSkG9yGpRl0YV/u0zM2wRrOkoJh4Kule31Oc8kZjSLSFoZhGIZhGIZhGCa8sCjFxCX/mbzO6fPofs0Rq1SaLFFZ7sZDhThVUoV4wqJCREvR82WLYRiGYRiGYRgmEeDeHRM3LNmdj4enrneLkiI0mtiMkiImLtsX7SYwDMMwDMMwDMMwTMyhj3YDGEYtnyw5AJ1O7xYlFetsO1YctWVbEV/pexoVZvUdGmRHpC0MwzAMwzAMwzBMeOFIKYaJMDEc1BXz2+ahC9thQJs6qucXb55aDMMwDMMwDMMwyQSLUkzcc/vZrRBP3DekXUjmY9CpOH3jSJPZfLgQq/bme51mcPv6fqVqWuJo/RmGYRiGYRiGYZINFqWYuKdlncyQzctkDq0puVlBFVGjJamhaa10JBJPTt/kcxp/CyweL6oIvEEMwzAMwzAMwzBMWGFRiol7MlNDZ41268Q1IU35yiupDMg3SQ0UMfT4sI5ep0m0QCF/De3f/mtH2NrCMAzDMAzDMAzDBAeLUkzc07Z+Vsjmdbq0CseL3IWkgAmzf9SgdnXDu4A451hRebSbwDAMwzAMwzAMw3iARSmGceH9+TvDOv+WdUOXbsh4h33OGYZhGIZhGIZhYpfQ5T3FAXv27MEjjzyC1NRU/Pjjj07jNm/ejGnTpolxCxYswMSJE9G4ceOotZWJHocLQhddo5Sq14pFqYhRXGGKdhMYhmEYhmEYhmEYDySVKLVy5UoMGzZMiE5yTCYTHn30UcyePRtarRajRo1CTk5O1NrJqMdf4+tIs+tESVSXz5FCDMMwDMMwDMMwTKwSU+l7VVVVeOKJJ6DX67Fv3z638TNmzEDfvn1x9tlnY/DgwdiyZYtf87/++utFJJQrq1atEmLUBx98gBdffBFr1qxBRkZGUOvChJbfNx4JifG1GkI5x1dmbw3h3Bg1ZKToot0EhmEYhmEYhmEYJp4ipUiEItGoffv2MJvNisLR2LFjsXbtWrRr1w7ffvsthg4diq1btyI7O1tM06dPHxH15ApFQHlLxTt48CBWrFiBKVOmICsrC0OGDEHDhg1xzjnnhHgtmUD5bNEexeHdm9aMeFviCWvC1d/zTaOaadh9sjTazWAYhmEYhmEYhmHiJVKqpKQEkyZNwi233KI4/rXXXsPFF18sBClizJgxQoCaMGGCYxqKcFq/fr3by5c3VI0aNdCxY0chblHkTf/+/bF48eIQryETDtifKf7ZdKgQ7/y13ed+fve6Hqrm98AF7UPUMoZhGIZhGIZhGCYpRKmuXbuibdu2HsfPnz9fREJJULpd7969MW/evKCX3a9fP5w6dQoWi0V8PnDggEP8YmIbXRhMpcKQERg14sFT6qkZm7Bg+0mv04zs2QRt62epmh8LlQzDMAzDMAzDMPFBzKTveSMvLw9FRUVo0KCB03BKsVu9erXq+cyaNQszZ87Ezp07hX/U/fffL4bXqVNHeEk98MADqFWrFurXr49rr73W43wqKyvFS4LaxkSHoV0axqyQU17lnoaabmC/I4ZhGIZhGIZhGIaJG1GqrKxM/Hc1KafP0jg1UPofvZS47rrrxEsNr776Kp5//nm34QUFBY5oKya0mM0m+7at9gzr0igbKZYKFBRUBDVfV0wmjdiXwbLrZKnb/J+5tG1I5u1rHSQKC4uQgWoBNRbx1n6JktISFBSkBDTPUG9vRhl/rsUMw0QOPjcZJnbh85NhYhM+N0OD2uCduBClpEp48ugk6XM0quQ9+eSTePjhh502drNmzZCTkyP8qZjQ8uv6w9Dp6FA12f/beOmqHkjVBxd5JJ+fhF5vEPsyWLIqtE7z79QoG11bhj6yS2kdJGrUrIGcnHTEMt7aL5GZmenXPpHPMxT7klEHb2uGiU343GSY2IXPT4aJTfjcDB6yXEoYUYrS62rWrInjx487DT927Bhat24d8fZQhJZr1BYTHk4UV+DLJXsVxwUrSHkiVDZMWw5zWmcspFRuP1aMDg1tFToZhmEYhmEYhmGY2CFmjM59MWTIEKxdu9bx2Wq1Yt26dbjgggui2i4mvKzee9pt2M1ntcQ3t/RFLFNcYcSEZfuchmkQHgf1AW3qeBxH50kiYAliNVbvyw9lUxiGYRiGYRiGYZhkE6WeeOIJYVS+a9cu8Xny5MnQ6XQYO3ZstJvGhAhXAaXCaMani3a7TXdhlwaomxW+SLVQCDmHC8oRKZ4c3hHf3tpPcVyCaFJBYQ5G0WIYhmEYhmEYhmHCRsyk71VVVeGiiy5ymBKPGjVK+DRNmzZNfO7Xrx8mTJgghqenp4v8xD///BPZ2dFLyxk/frx4mc3uVdYY/zhZXIn//rQBI7o1wjV9molhd06qjoyTUyPNgHjEGrLEQGc0Gg0yU2PmVI45odDCyhzDMAzDMAzDMExMEjM92ZSUFCxcuNDrNCNHjhSvWGHcuHHiRUbn5HnFBM6kFftxqqQK3y7f7xClTpdWIV6JtA6i8ZAZyHpMcKl/DMMwDMMwDMMwTBKIUkxyI4+EWbzjZEJG/oRTHNFEODor0gSzFoniq8UwDMMwDMMwDJNoxI2nFJM8vPnndjz325aILOv6fs3dhoVLw6iXHT4fLErhUyJR9Bh/1+PeIW0d739dfyT0DWIYhmEYhokndvwFHNvs/w1YyclwtYhhGEbAohQTE4SnLp1vrutrSxWUU1huDIuIcvugVki07RcpWtfL9Gv6xjXTw9YWhmEYhmGYuOLACmDBy8Cv42yfj/yrTmxa9y0w+Wpg26ywN5FhmOQl8XKkIggbncc/Om3k5Jw6YawY6Il4D5R6bGgHZKTo0L5Bdkg8thiGYRiGYRKCkzuArPpAeo7vaffIfHuPbwFmPgjo04Db/vT+vTVf2/4vfgvoeHGQDWYYhlGGI6WCgEzOc3NzsXr16mg3Ja6pMlmwYLu60OAbznRPt4slyL/o3bk7MHHZvogu15MIY45zl+9z2tdDn5a1Y1psZBiGYRiGiSgkLE2/ozryyVhuE56qypynO7YJKMsHqkqqhx1Zb/tvqlDvj6DhLiPDMOGDI6WYqPPbBvWeP1lpsX3I7ssrw9/bTkR8uZ48pRZuP4G29bMQjwQjLLl+l8RCT9uIYRiGYRgmrtj+h+1/4SHb/yVvAzvn2sSj2+YCVgvw3ZVAZTGQkgU06KI8H7MR0Kf4Xp5OxTQMwzABwrI3E3W2HytSPW0HP9O4Io3JbFEcfkXPJogG6w8WIF4JJsaLA6UYhmEYhklYSlwegJIgRZAYtepzIH+3TZAiKEqKoqIkaBoJY6nzfIwVwMrPgSljgArZ/bk+8hYUDMMkD7EddsIkPH9tOYYVe/JVT98uxkUpT8E4Ywe0iHRTkhrXqCiKTudAKYZhGIZhEoIKLw8dt0wHWpzlHhElUXrCWYSSasNQmh+JUVV2oWqHzG+KRSmGYcIIR0oxUeXDv3epnnZQG/+9hSKNpxQxvS46p5paq4BoES7Pq2TWnyhVMd7IL63CV0v34khBebSbwjAMwzDxhcU1Sl/jLEIRRpnXVO5vzsOl+4atM6sFKfFZNh2n7zEME0ZYlAoCqrzXuXNn9O3bN9pNYWKEWBNDrDFef+/+H/71PDIIcUXrGimF5GD8gl0Y9/06VBjjqyLoq7O34pd/D+PxnzdGuykMwzAMEwfI7nOOb3YeZa4ClrzlPKyiUHk2h1YDX55vM0yX0v0kCg5Uv+dIKYZhwgiLUkHA1fcYJjgO5LtUiQkRrqJUsjBn8zEczC/H0p2nEE9sO2a7ES4oc3myyzAMwzCMd367z31Y8TF16X4rPgEsZuDYZmDTNM/LiJdIqdI8YNsswFTpfbrD64A5TwHFxyPVMoZhvMCeUkzcEA8yQzQrvP3n3DbIK63ClNUHHcPiMJMrjClt8XAEhQbe7QzDMAyTwFCVPX8I9obQNR0wVqGIr+KjtsiwHqOVp1n/PbDyM9t7iwkY8UZEm8gwjDscKcUwCeLnM7xbI4zp72yobklSVcpVG1yw/SSSiVj2lSosN8Liw0uMqljuPlniczqGYRiGSVgo2mfmA7ZqeNHGEieiFAlSxL5/PE8jCVJECUdKMUwswJFSTNyQpBlZIae4wojsNAOSiQ/m78SFnRsgWYhVKedAXpnwvGpRJwNvXt0di3acwP485xTONfvy8cac7Sg3mtG9WU28dEW3qLWXYRiGYaLGkfXVr25X2zyeGnW33RBbXc3Nw0y8REr5K6KxVxbDxAQsSjFxwxlNsiO2rNJKEzJT4//06NvSuWLhnM1HMX7Bbow9qyWu7t0UiYpWywpmLLHzeDG2Hy/Gmn2nxWcSoq79bLnitM/PzHW833DQgzErwzAMwyQ6VTLj8Ukjbf9rtQQGPgCc3BbZtpDvlLx63655wNmPAOm1gLQaiDoFB21tkvDlKSURaXGPYRhFOH2PiQs6NMzGgJY5EVveqM9XoNJkjvsIlTb1spw+kyBFTFy2D4mMP5JUlckiRJNYTnnzl1hblYenbsBni/Zg7X6bKOUPj0zdEJY2MQzDMExMYSwH/v0OOL2/2rTbldP7gN8fClsTLJ7uZIVPUxGwfQ6w5G3g6AZg6k3AD9cj6pBgNmUMsHaC/6KUXGxjGCZqsCgVBOPHj0fnzp3Rt2/faDcl4XllZLeIm4ifKFL5g+aDNEP0TjOrHzIZpU09PGW9SLGKd/w5VF74fYsQTWZtsvsQJATq9/va/fk4XlQR8has2puPd/7ajvKq4G74dhwvFsIhwzAMw8QVp3bZhBw5VO3tn/dtqXhyqspsAs+qL2xiz9SxwIqPQ9IMI6yYoqvAU4YSbNCYPE43UVeOuwzF2ORpmomXAgtfdWl3CWCqQlRZN9F9GBmdL33PlvpYlg9YPNxH5O9xjrBiGCYqsCgVBOPGjUNubi5Wr14d7aYkND2a5SBFr43bCJW7B7dBtPD0G+wpbWrniRK8PifCIeFhQOuHKiWliM1OKFFKHRsOFuC533Jx+8Q1IZ/3i7/nCoP5CSGIyrvqk2VCPGPCx4miCtz/w7+Yl8umrwzDMEFzfAvw823Aj7IKcCUngFkPA5unA1NutIlWEss+BMpPO0dEqV0ULJijrUS5wgOpvRoznjSUYrquErs1ZrxqKMUMXaXbQ8tF2irM1lWhSGPF+/oynIIfN5Cbf1Y/beFh95vTwkPAb/cDB1chINYqiFLGMmDLDJtRPKU+LnjJ8/fnvxjYchmGCRnx0dNnkhp/on1CSVmVGV8s3oPxC3aJimHqcG9rVhS9qQLZciWVnp+ihYrFO07i723eO7+R3usH88uRbOQedXmCGwZCJfaReDZ19UHcPnE1/j3gfxog450vluzB3lOleH/+zmg3hWEYJv7Zv8z2v9LuC0VCzPQ7bAKMxM+3QXt6j+399tkBLWafxoynDSX4Rl+BD/RljvQ7uneep63C/xlKcFBjRg2rBmdaDGLsj7oKfKqrcEx7WGPGV3pbxHQGNCjWWPGuoUxEWKni1HZ10+2cZxPplr7jPHzxW7Z0wNmP2SoNkkgkf8q75hvgs8HAL//x72mrnF3zA/sewzARgUUphvHAl0v24LcNRzBn8zGM+XJlwPOJpr1PLPokUSrWm39ux7tzPXd+M1J0eOHyrgEvgys1Rj7KpsJoFq+NhwpgtoTnuJu0Yj+OF1XimV+3hGX+yQxVO2QYhmFCAKWzkTeUnMpCoLzAbVL9oRUBL2aPxowX9aVCRCLWaU2Yqa3CCVjwkb4cX+jLQY8Z+1gMeMuYhYdNGbjTlC46fwt1VfhWV4F/NUa8pi8DxU51s+jxalUWMq0a7NKY8bK+DEeh4reh6Ii6Bv9tj0jaOtN5Wx35t/rz+sm2dLpTsntEySuKos/yZNFlDMMkDPFfXoxhwsS2Y7KqJ0EQTV0o9iQpwKJig/xwR/+gKuhp/LI6TzzUHnOhODYP5pfhP5PXIUMPtG+Ug/UHC3B9v+YINxaLlasshpAY1K8ZhmFiDzLQ/uUeoEEXW/U5JTZOcR9mVo5CT9n0PXDmzW7DKXrpkMaCmlYN6lq1qOsSR0BRTG/py1CisaKdRSeioL7TV+BHgxE/WikKyhZ5cL0pDZdaUhz3RedbUmAwAeP15fhDVyVeRB2rFvea0pEDLe43peMdQzm2ak14LKUUY0ypGGZJ9bxNTqqMlFJixxzl4RYPGQrmCPpXkc8XeWi1GAh0GIa4hDzNln8EtBsKNO0d7dYwjEdYlGJinngSGHYcL4mZ9EOx7DjtaQYrNiR7pFQk9/oau9dTcaVJCFLEH5vD7891+fh/cFWvJrh5YKuwLysZiM8rBcMwTIQ5uhHI2217DXwQsFpskTyNewF7FwHN+wP5tkrHTli8WCN8M9xxv7hSa8If2ips0zpPT6LTjaY01LOLU/9ojcjTWFDLqsXTpkyk0UOiWq2xqOokUHoSZ1j0uLpBf3QwWYHjm53mdY4lBWUmq0j5o47gCHMqRppTReoe0aPLdXhr80/4XF+OTVqTmK7IbMU15tTQ35PLfbSc8LCcv/4PuOmXwJcn9/Hyxeovgb2LbS+qPphWA+h6FeKK9d8DO/60ve5aFO3WMIxHWJRiYp54Cob4ZKHCjUg0I6W8LPtwQTma5KRHVNDJK6n0y4Q8UOLokAkLcapF+s3P6w6zKBUikuWYYRiGCQoDyT+yynNksk1G31K6Xu6vQLuL/BOlyOsbFnyur8AarS1CiKSnVlYdSmDFSY0FK7VGrEsx4WZTGoZYDPhNZ6sQPcKcgnT7Xc8dtc5AJ1Si5fa54rvIagYUHVZc3rBaXdAuf7vwmpKELgcaHeqDxK4M/KKrEh5UP+sqUQgrrjOnokYo3V88RT55ulf0KGKphMzn1SJPS5RSCNsMAdJrIW6QPM0YJsZhUYqJeerXkN0AxCFNa2VEbdne+pmbDhUqilLhoqCsCjd/E5lKlUrCF0WNaXwIYu/O3YEHL2jnczomdrj20+Vo1yALL4/sFu2mxA3HiypEAYZMpyIMrEoxDMP4peAvfhPYu8R9Gq1edTqaxW5ITsIPeUPRNy81p+JCcwrq2MUfMir/WleBXK1J+ETlWkw4rLEIMeoCS4pjXgatAefVaAlY/7bP3AToDMrrYa5EGxKulLDfA1FUFEVQpVshoqXm6aqwWGfEBWYDRpvTYAjnI0CLCi+rgoPA316q6gWzjysKgAPLlVP64kmU8rT/GSbGYKPzIBg/fjw6d+6Mvn37RrspCc1NA1ogFlixJw+nSmxPpvyheZ3oiVLlVbFjXrzzhHtqoxJvXH1G0MtS0pRuneBbEPt724mkqsIXitTSwjK1lSnDZ9C98VAhiiui2454MqW/feIajA6ieAPDMEzSYpXdVykJUoS+WigSUMU4BU+pY7Dg6VSbITkJUi2sOrxizMIoc5pDkCKaWXV4xpSBy8ypjtQ9goQrKeVOoNEBGlnXrts1gM6lLRLZjTyvY1me00fyk3rCmCFErCpYMVtXhRn2SC1F9iwC5j5rE3B8iXtkbO6vd5T03QWvACe3ISSQ4brEP+8D316hPJ1cXCw+Buz4S52AFi3kxwPDxDB8pAbBuHHjkJubi9WrIxP9kWio7URmp4VX5W+coy4S6+VZW3HbxDWK40oqTRi/wD1P3aCLbsTNhGX7EE80q52OTo1qBD2fVL37079TJVUwmX2XEjYGWm44hoikjxml0LlSEAWhavfJ0ogvMx7ZcqTIYRQvh9P3GIZJWA8oSrELlXCg5h6hZjP3qnMKkVLf6suxX2MR1e4oLe8VY6YQppSgqKXR5lSRrkfYvKBcBCetiyiVkqkctUWcMcrmj3Tm3QrraAbaXeg0qKfVgJeNmbjbZIuw/01XJUQ1B+SxJTH3GWDPQmfB6aBLX8ls9P7jI+2vIgWPynUTgdVfASdyETLWfFX9fssMz9PJj6MfRwMLXvY+fayKUofXAafjq4/AJDYsSjFe/X+MKjrx/kJpVDM3HMGj0zYgFvDH48i1Iycxcdk+zNl8zG34oxd1QKT56uY+iEUi2elNT1G+qfv6n70+v3sgz8uTPSaidG9WU/W0mw4VRD1qi2EYhokhyH/ot/uANV8Du+aHZp4+vKEEZH4uZ/fftqgaGadgwb92M/PnTZkYbkmF3kc6nKbbtbjJnIZ7TOn4rzETtagbV7e9bAKtswhB7z2JUoZ0YOD9QNM+yutYu4378qHBuRYDuln0ovrfBH159UOwn251nw8JVUvfA/L3ArMfdVmG0Tbc1zb8YZT7uDXfAOu+RUiRjg9X8czb/pcEqkPKD6xjVpTatxT4/SFg6thotIhhFGFRilFk76lS4f/z4I/rQz7vDYcK8fniPThSUIFE4UiBcspXjfTI53LXz1YX+VVYXoXNhwuRTMLVzA2+q8K9M3cH4h212zFWo2PuHtwG40f3wktXqPeJmrrmEMZ8tRIH81lUDIRYPRYYhmECTseSp2CVnQp8XofWAjPuBk7uUCdK7V/mPqyqFPmw4LQ9uuhvXZV419miE+l5qkirYReGUtDdaheb5Ol5In1PJmyRIOUpfU8SKyi6yhWKYvIQYUPLv9WUJiK1SFS701CMG1OKMFlX4W5CTp5MFEU07Wb3GeXvUR6ulCYZJGZYxcsrkgjmKp65zcwY1raGHPl+lKL8di+IWnMYxhMsSjGKLN5xUvw/EIYO3rHCxBGjJDwEUMU03604gCenb8La/UFWMgkhFu4ZhwzyP/vmn73C1NoTsbq1Lz6jkcOL7fp+zf367vytx8PUqsQmkimfDMMwYYeMquXogyiaM+th4MRWYMlb6kSpI/86fSQx6otlL2FcSjEeSCnBeo0Rf9t9oc43+1FzquUgoFZLIU450Old0vd0zoKEfLwcSYySTy9B6+jFi6gxdLjc7m9VpLEKn6nfdZU4esgPr8IDK/yLNnPhX40RC7VV2KoxoczL7xeNe9JQinGGEuwp2OM07hjMeMRQghf0pVhlKYFFTYqn0v6PF08pqe16275zgiLETu+PXLsYxgUWpRgmBMRaxJE//HsgdkSpSLP+oMtNqx1zPKqMMqj1L/2ei+nrDuPpGZsQD9xzri1V4OGLZKkIAEaf2Ry/jBuIOlkenva6YI7vXRc1WA9mGCahCMdFrbJYnSgl4zgseCSlRFSuI5mlEla8aijDaY0FNa0a9HEVpXJc/Kjk6NOBaycCgx6uHuYUKUXpe3Ljc43n9D1vkVIkCCkJFxJZ9XG1OVWYsr9hzEIPi16s2y/HFKrVBYoXoWefxozXDGX4RF+O5wyluM9QjEK5v5XsYcuXwrfLLLb3iytexHaNbf9R+uF7hnIc0pixRWvC29Y8vLD8ed8RVUrtiuVIKTnSsSs/Zmh9Tm63RYhNvSlqTWMYFqUYJzYeKmBPnSQnmtbskdSCth0rwv9+2ezR9yyeofZLxt/Hi/yvGBkNRnRrhGl3D8B5Heq7jdNpNbiqV1NV84n3fRdpSICdtfFoWKJiGYZhooY5TL99fkbFLNBViWidJlYt/mfMxJmWaluHIZYUGFzvutoM8TwzpeglrcHzeBKklCKh5NMqjrcCbS+wRWad+6T7aEM6tNCIanxkzH6VPWpqyeHFOFF2AqrY8af38SSMHVG2EFlhjzKrZdWK6oMlGiuW24fJWaw1ikqFtKYtrTqUGUvwiqEMU3UVmKCrwF6NGdlWjahqSPtha95WYTzvvV1mW1XBWbI0Pz+FyogiFykl8Ux+nJgqbaIUw0QZFqUYB4cLyvH0jM0Y9/06xArDujaMdhMSnljqw0eyLY9N2+i5HUgSAtzg5VVmTF19UFwzQkmaQaWvhhc4BdQ//th8FJ8u2o2yqjh50sswDKPWUyrUGMv8ErsoUkcSUEi46WrV4wF9Aww3pwgxZ6g5BZbsxtVfMGQA3a8HWp2tPENHVJPsd04nE6Vco55cjc9dx4nv6JUFoZQMYOjLQIdh7uNdfKraW/XC/Nxcfhrfbf0OuRoTihQil5wotdmEeITaMPMBxVGr7QbxVI3wKpNNEFvmIkqRkfzXept9wbXmNDxvzES3ikrQkJ91lZiXYfsemcbfYE5DF9B2tDgiqby2a9M04JDMEF3aHZUlwLHNsXVjrSSoyo8JOp4VKkOGBNoOpXmIKGX5wOafbVGN/lBwEPj9YeDwWscgbf5OYO6zQKF7lWkm9LAoxTg4FINPyge2rRv2ZZwVxmXE6u+SNy+ZcDVZXQRL6JZ+//ntEnq/eaO0MrwCw5dL9mDSiv24e1L1j3e4UVskM84zLyN+vu84XhK1tjAMw8RUpBQZQR9cBfzzgXK1vvICYPFbqme3T2PBUY1FROH0skdI6XRpuNmcLtLeqHqepYYsCvj8Z2xV8S56Cbj4HfcZKqXauRqdy29gRPU9XWDpe35Gi11pj5ZaeXQlnqeUupQS4fcUMBTBo8BRmEXKHbWatukAiy3WbLvWjJMyIWyajgQoKzpYyP8qBWnQ4Kn8AjxkykBbMpZPryN8sXpbbfulI/03G7FN6+P+ibZN3i7nYdL9CVV6/HUcsGchYgb5vnS8tzobt5vDFOm15ivguyuB3N/cx9FyReEAlVXeqWLglBuBUzu9Tzf3f7bzd9Eb/rX175dsghQJU3Yy5jxk25dzn/FvXkxAsCjFxDQdGmSHfRmj+nrJ31dJTkbkq+x541r7OlFKVKILMJ4Y3L5eREyfV+3Nx+8bj4j3W48W4YQXY/FI8cOqA2Gd/5YjRYg0QzrWR6re908WR0oxDMMwnkQNr+z5G5j9mC3SYv4LQXfWpZSyXhY90iXlwrUanjxqxem9wgylqCb57xxFbzm+o3Gf3pPAJEVYKT3x8fUzqiBkdbbqMcqchs51OqO2VSsEoY/15SgP9GHjote9Rkl1tuiRBQ3qQItOFr1TtNSR1HQsTrdt5zHmNJFqKJoNDfpb9HjJmInPB7yA0eZq8/sOJquIstmuIVcpL22mqJm9i10GaqorChLbZiFmkAuI0nt5uqEpjJFSG6bY/i99130ciUbT7wC2TFc3rz+fBgoO+BaIKFKNcNtHPvBWnfP0PgQUqfnLf4CFysexG0VHgT2LErdTpgIWpYJg/Pjx6Ny5M/r27RvtpjBBYNBp0T5I8atBjbSYqmils99kqFk+TbF8d15MeEpd0KkBYgF/fhNe/D0Xny3agwXbTuC/P23EbRPXIF4I9OgM1XF9Xsf6wi/qERdzcyUyUvT44qY+vtuWvL/nqqBy3gzDMAkPRWLI+ed93z8QrhXhyv0vBEPpXz/oKnAMFoco1V/mI+WUbucqRMnFHiWvJ6VUO2O55wgmmrendc6s591TyleKlAIjzal4ttEFeNuYhXpWLU5oLJikU35Q94e2Eu/oy7xWzlNilX2b9pNt04H29//obOOmaEpgqdkEvS16kVqo9DtYM62W07A2Fg10VSXCEP2ktzbt/0d5+Oovq99XxVAEstyEXRKj5MeJucr9XAkVNG/RBgVhdOdftv9rvvZvnnROLh8PHN0QIjPlacDka4BSL6KUp+OBUgQ9nV8HlgPHtwDbZ6trxw+jbIKbv2JaAsGiVBCMGzcOubm5WL1allfMhCwNJxHITjNEdRur7aC/MnsrYoFB7epGpNpgOKolrtgT4bz5BODcDvXw8z1n4VwFc3MltCouHnM2H0NxRZhusBKAaAnlDMMwESN/L7DoNffhZXmeoxSmjAF2znUe7qe4UAAL3tCX4RddJR5KKRaiTKpI3ZMJI65V7eSikGvlPDWilDzySggQLul7rpXhhr4CXP5RtQDmyVPKG3Xaeh7351PCfJy8moj5uiqs1Tj/JpMQNVlfiZVaI2bo1Ee05cOCnfb0OhKcJM606EU6H1XZe05fihWoEMLTdbJIKDdcxEHaT60orY8CnezRWIoc+Vd5+LpJ1e9PbAW2/4GYQC5ArfvWfRgJR9E0aq+yFeVRDYmwG6cCv90fmuUv/wgo8WHOr9SZojTCCZcA85+3fT6xzfnYkK+XtL1J/KvwkWlwNERiWxzCohTjYJOso55MwlG4OmrdmtZEq7qZiAZahyilIlIqjH1UWv5zv20RLzXoteG/JD3z6xZMXrlf9TbZebwY24/5NkyM5a7+0cLykFalC9WsejbLEZFSalF7eIz+YiV+XHVAGLIzDMMwSQJ1DPf9A0y/UzmaRx5VJGfhqzajY1coIoM6niohY22qBEf+RZKsQ4IUfXbglr6n8SBQKVXaUxCQ5NORuCD/gaYfTVeBqeVAoGE39T5VSqT4vrftYtVjhNk2H0rjOyHze1qjNcJov2v6Q1clvKDoPnyfxoxKL3dT/7boLf6TJxSl7UlkQ4ve9miprXZBaVCTQcJM3iMK27KDXeiiFD5fUHsXa6vwrL4UD5VswX2GYszUygS2hQqiaDghHyW5MCYhF5ykqB35sBl3AxUFkQs3J38p8t3yxdGNyl5UnlLlfrpV3XzV4OZzpbBNSBgjdi+wbbMZdwEzH6y+7siPLynFlrb1xEs9RhoKPBUmSAIUrm5MsvLrepsvTrhJlvSakT2bRG3ZVSaLahNjV0FOo9HAYrFC64dY4ImiChPW7reFv5/Vpo7P6UOpSXkTVkt8GIFL28RotuDhqbanFlPvGoD0FM83OLTNJI4VVqBhTS9P6CLMnd+uxfX9mmP0mc1Dci6G6hSmYy1c009eeQB5pVWok5mCBdtP4I2ru6Nmemx5v8UCSfb8gWGYRIY6hv74TJGAtfFHm5ilhLzCmg8o6odedJdAld5KYRXiy8V2A3BFEajTpUBJgW9/KccwjfdfZNGZtvo0JXeep6w9PcfYjJ3PfsT7d3rcAOz+2/s0ojpeGnZozdilMeMdQxleNGYK0/el9hQ86oSSODVRXyFkqbVaE+pbtXjQlIE2CoLSlowM2+LlkWd27jKlo79WLyKkUlOy0fWMO4BV0zw3zjViTZid6zDLbpoOL5vtOCz4XF+OzVJElaUc0Fjwnb4CWSYNzrP4EPXCERlIPmhErxudx7mKknQ8uEZGbf1dNr3V9jq8BqjbHkjPCU0bV30B9BgNLHlb3fRkGi/aYwaKj3ufdt8SIG83Qsa3lzlX7/N1s2yqcPbKOu8p5/OQxPDU7GqDfEoTbt4fSK0B6FiKkUheOY5Rzf68Utw6YTXm5fq4KMQxieazMnXNIfF/7ynfYbGu19qTxZW4+7u1DmErVKipipaii8wlSS4gedsmJEpJFJR7Ly+dX1Y9/o5v16ja9tE2Pz90OnoVN8f0dxbI1JCmwuhcTu6RIiFOHSmowPR1tnOCcSZJnhEwDJPoqCkBb3KJlPrzKVtEhuR9EyAHNWZ8obPNmyq6tbTqRKTQWHM66rp2teRRSGfe5cXoXBtAdTUFJcVXh1ouknUfBYyaDNRq4f072er8P0mAesiYgWyrBntpG+nLRYrjJruYM85kE5lWa41CkCIo5fEZQwk+0peJbTpLS7FTtr/cov0Ok3NXyPR8oCUFZ1kM6K1JQ6rOXXRyQp8GXPw2kF7tLUWV+giq7ieP7JJD4tkbhjIhSBnsKYLPprTAZXbxkdZxi7eqgySErvxMfdU5NcjFVqsPUXLHn97T9Wjcrnk2w39JGJJD5v+eIg698e93wPKP/f/e0veADT94n8Zb5FG4riVygXjzdGcvqcVvOu8TipSS75cTubaqhPOedZ/v6b1IVliUYnzy7twdQqh4f76PMpxJkr53qqQy4aO/jhZWYP1B2dO7AHF+qOd9I1FgVk5G6J4uBSMzShXcFmw76RRt5C0FbqdLVNrqfaH5kSypDF+uP4k1/kDrT9UFQ3G8qxEpXdHrtJhwi/rCEvJKfOZAFsgwsQBVE5r7LFBSfT1iGMaFqrLQTBOAIPWCvhTFGquI7rlSHhmVpeCXmFHHFmnU+2YRPWGVRyo5GZ1766LJfs/kP8gkQLj+QPvyh6IbtWsmAFd9aYvmUIOiOboyJMrdZ8oQHc5FWiNeNZQJuYdS8EhAOtuedkepds8ZM3GmxQC661miNWKergrf6iuwWWMWxvGnjcUiuqqdt7Q8Qs1NCq1D0z5A16scg2pCi0ZWrdi696UU40FDMba6CExrNSYhWpFv1ttVWWJ/dy44htHmVLE+JAF9qC8X4pWTaELRTJIQuv57YEcIPafkYqSv/V960nv0HM1rn91sm6rdSWz5Bdg1H/jpFmDiZc7n0qE1tqqEvjixxXca3ppvbJ5caiBhjwQgucl8NJCqLkqQWbk8IoxEPHk0FZnl037at9R9Xofip1hSqOGYMcYnRj87cxVGM9IM6n+wvJHiZ2REJDheVCHSgKhqXyLjj9ePJ/yZw62DWiHW+HSR93Bgrz5NIdBAft94RFT2u/3sVri8R/TSQSU+/HsX5oYoYjJQYatOlo+nnzIOnQ7gaV6SkVgxogkKPa2mjkXxMeDKz6LdGoaJPaiTPedx39OFuCpaISxCkCrSWIVJ9lP29DQHbc4HWp/rnFZIYsiZdwbmKaWIXJRSeIjlS5Qiavt5/6XkQ+WF7lY9bjOliygi8o0iBpptYtTdpnScr0kRIhVtu44mHVZrDTissWCjxoRcrQlLdFV2vycN2ln0SFH65SIPH2n91ayztN3PuNZJ1LjenIafdZU4oDHjqMaCd/VleNOYJQQr4je7MfuF5hQ0kMV2aOzm7utSTKKC3wGNBS3pRoeWM2mkfeY/Vi//5Hag48Xe21iaB8x/Duh8BdD2fHU3VMZSZ3HR9Zig7aQUUeeYl8X9Bo0eiCx913kYRVNRGlqrs6v9s+5a5H19jBWexSh9CrBlOrB2gu2lhmMbnFMPo4VrRU1XKFJKHl2WXrs6uktJSE5SErtXzUScJTtP4ppPl+OXfz0r5v7YyIRCGAl1+t4TP2/CAz96qL4Rh3gSVvShEKVkOzuWrrkH8r0/LaWmKlVwc12HcEffkCBFfLlkb9QjBKeuPhgyQco1iolhGC9IHayT20I0Pyuw/gdbp4Jh4h1KJ6KqeVIkijekDvqeRTZjaJW/k2/ry/BfQ4kQoeTM0VUJQaqpVYf/M2aKFDI3XMUlV0HHY8qel3uw1Jp+pO+F1orB30gpiQssKRhpjyKjtRxgj5AiF6hOVr1DzKP78X4Wg5h2lH36lVoT/qX0Po0GnT1FSfkyZ3dbB42itxRFar1hzMKXVTXEfi3UWPG5vkIcB9s1JuGRRfLYcLuJuxwSyzraUwBzKcLKVRA6tUO91xfxz3u29NL5L9g+UxTRtJtt6WWndtmu43T8y/fxPHs1OE/HBE3rNX3P7J6eZ1GoaEyRQBTx44+he/FR5eFmewbKae9FiNwot3nWBgxtu0CRb0NfkV20PeXV+Ch1VOL0vur1T3JYlGJCytt/2S64Xy0NvhOdHqJoq3BU3zuY73zB3nHcPf84XvrcntoZ6kipVSFKZ1O97CBKSNJvtq8oKeJEcXz/kPhzjE5asT+0yw7p3BiGUc2xTcDKT4H5L8bPDxXDeGL67bbqeWqQhIC5z1QbQ/tgq8aMVVoj9mvM+EiWlkUG3fO0Ni+qq82pyoIUTet6L+ImSsnT97TqKr9Q2lm3a4Bzn3BJ31MQoLxFxQQKiWddrgCyG/n1tevMqbjZlIZxpnTUUtEFbW/VCeNzkoTId4ropOAn5bZdQyDE0f68z5QuBCgyrH9XXy6qKxJnm1M8tp8ENmIbmaUveh2oqK5s7nwsqLj2kmAhhyKISHzN/RX4+TbbdTz3F+f1JXP+zwYDXw+3CVeu4hellvnylHItCBDumGqpjb4ijvwVlei3jqKwjm9RPjcqi9Qvy1UwMxs97ydXKNVRnr4nF/m2zlTY3skJi1JMSEnG21tfptmxjjVCUWpr9nl/ohFLfSNhqHnE94/V63O2hUzojAZR3eZBLDwz1X/B+lRJcEa2DJMwyDtJ4YiiYJhIoiZCSn68VxSJ3+dTsAixwxcUDSWxUWvCdHv61j9ao4iSqmPVop8klCim3Gm8Rxk5pe+pjJSi75x1L9BhuEKklDX8P/QkmA16CLjehwG1CxQFNdySikEqq9PR9IPsEVWEXqsXQpVPc2p5VEoQkGH9KJMtqoUqK0qph5d4aX8nWaSUdedfwLIPlSNqqI2+RBVPkUByoYnSAJWOY0oZm/WQ+zWeorWOrPe8TJpebvxPaWa75npvp6NdAf6eSG30N9pNKYJLzq/3AvOeA375D/DFecCWGYGn87pWDVQT6SZBgpRcxJKLUJQ6S/uKYVGKUSZgOSKEP36R7NQHUn3v3wOnMe77dfhuZWgjSCKNp10WivS9RGPdgdNOIuSek9GrsFdpMouXP5RXmWNGOAtGy/10TG+/v/PPrlOBL5BhEgl5x9efG2uGiXPKTRX4av4jGGcowbiUYjxrKPX6O0jClRShI1VX+0lXicm6Csy2i1VDzSnQSfeQ7Ye6z8Q1Uso1GsQpfS8ATym56HDGdQpG12E8x9VGpF/yjudxNRp7/apclGqT3QKpEXZCJAHqUWMGrjWnYoQ5Bfea0kVanyda272xyPiefLGQJ4u6J4NziT0LgWljvS9cfn2efI3ysaHkASVRUeT/NZ6ml8//j8eB1V+p+65rdUt/lhkIaqpmUoqhvJIfUXzcVg2wyEM6oRKu0WXeos3csDqfh67t3vSTH/NKXFiUYnzievn/bNFuPPfbFtE5/2vLMazYk4dk5Jlft+BAXhmmrUnMUvMhSd/zYxahFkiCq76nnP73/MxczNqk7kfsuxUHsPlwofDskl6hgs69UZ+vwLWfLvfL18osa0Mo2xNpTymq0vjUiE4hbU+i8fPaQ3hqxiavwmVhuRF/bzsR0XYxEYRKf5O/iLcbd46UYpKIycf/wV+F25FHYgEgIl/22N8rQdXfaGxnix43mNOEAGW1m11TOh95CA2RiSZuqXlKv3NkNK3GU0q10bkPw/JQn+MtB/n/nZyWnlP9fKxnE6tOVDUkOtdqj0hDD637Wg24ypyGseZ0nO0jyosEqfb2aClK/XSrzCan8BCQ+5vnCCP58VRyQvkY8iZK+S2e2Ocnn7/cBytc1S0dbbRGxhPqt3uBVV8A857140uawLer8PEyK0dKUQSVPIJLGznrmliDq+8xilSaLE4dFzm/b7R1yhftOCmqcREz77P9SIUyk+2y7t6fnsQ60e70BysGRcpkPt723eIdJ3GpymPzyembkJNhgMlsRe3MFDx9cSc0zkkPun2lVSYxT6KgrMqvinTEj6sO4M8tx1BSGYTJY5AEe3oMaFMnVE1JSCYss3kczMs9gYvPUO4MvDvXj5tNJr4gY9UFr4i3hprtgDqjq8fJBXcWpZgk4SjMmH86V9z1/MeUjtVak4iCWqE1oo25uiN4UGPGh/pycWd0wi5YDbMLEbeY09Ddose3+goc01hwntmAbPnzfVfBiXB9wCVPM6PWeIqOCiRSimjQNTQpVUqQKfhFL/n/PZ3ec6qViqeX5ENFaZTDmw0BVsqijWKUTlYdtsCErVoTLvSVqkhpYbQPyaPLFaXjSSlSyptAcngt/ILm5WL+rhrXNDRqp5rfGCmKyO+oLlNgN5+SwCczdD8BC2pDI4z3Q5I66LpMqwdRitaheX9bJUNC66evVgLBkVJBMH78eHTu3Bl9+/ZFoiGPvpALVHLySn2HTR4uKMeczcf8rlL22lXdMPrMFn59hwmMPA9eO9ogjMIDIZY0PGqKp7W3+uklVlBmFOIPVfy7a9JabDhYEHT75PvGGoDYNnnlAeGxVGFUd7Na5eEaEAwZKcn7NCiSVJk93+St3R9k5Romttg5z5YSQsauXw+rHu4WKcWiFJN8/KCvFBG6PfU5GGxJcaSFkSglfzg3wx4FdUBjFp5TZLTdx+4ZRVEzva0GvGXMwgvGTNxkllXRsk/h825i628uX9EoR0moFqVc7gLqdwQu+wC4YVrgkU2eMKT7FwIvF1fImyhA2lv1uN+UgZpptRAPUGSdFCmlKgtg6btApYK/kadt7UGUoqWVBZt1QOKJv95OnkQitccKiVGUSufq+RRKYUhCIXKYqirel1KMD/Re0g9d18UfAU3sI4uylxVtM9f9maSwKBUE48aNQ25uLlavXo2EJojr292T1mL8gl2qU54kujSumdSROpFkvQeRhCLkgo328ufrMSVKWT1X1tt+zPaUM78sMONsilAKqSgVge02be3BkM6vd4tauLxHk5DOk2GSFroIkHn53y8Cc58FCg44jzZkOE/PkVJMkrFDYxJG1XTkj244UAzradELfyKKhpJS+IpgEdMRd5vS8bApA88aM6s9o2QpWh2seltUxXlPe++Euw5reXZo0/cy67oPa9QdyKpve99+WOAigyt6hUjv5gPUiVKerjVq17PZmc7ThlJsCzFtrTqRipSvsdh8pdQwZYzzZxLxPG0zuXhJ7+1i0ERdBW5PKXIYsgeEEFsCvLF0FWpUC6tmW1XAcHhKuaJgKp5LlRLtZvYkUKkTpUx+Rkp52JeUvudWrCA5YVGKCRhXwYKMv+UskxkLbz3qR9lNJiag1LP35+9EMuLtyVbLupmYvu4QbvkmMDG6NMQpc5FIE9153I8KJT5oWz8Lz13WBekcKRURThZX4rFpG7B0Jxu9JySL3wJ+vAEoPeX5ptYtBUSjnDYRS08GGCZEbNGa8Ybe1hEdXFSA5qds1fpIkCJhSoqWIhZrjTDZzarPs6TgTIsBdX11lTK8pJKLc8qlM9t9VGhFqYEP2ASaEW96rpRH6UHB0O9O2/9zHnMfN+xVz8v2dA1qKE8x1ADXfec5VU3iguecp/FHaGvif3GUYKBjq5v92PrFXq3RJ/JKe1Qdb9JIoLxAtUBigVVUhKQr+r9ahftMtdsrmN8CN0FFZXDBtFvcIgipBME7+jLM0VaG1lPKWOE26IhMxPteV+mhDyBbFzJKF1UP1WL1LGLRcLkoZTGHNuU2jmBRivGL71bs92r8LefVP7Y53vtzfSMPHiY4xp7VMiTzmb81OBPkaHZxgso+9NLwfadK8c0/Nr+eQNh5IniBxynQwf7/+5XO0RGe0vB2Hnf2s4g0/qbyemPceW1CNq9EQp5aOnPDUWw7VozX52zD+/OSU2ROaLbOBIoOA7v/9tyZdS1BL2f/MttN+pfnA3OeCF87GSYKLNRW4WV9maiERmbZo6mC3snqe9P+shQ+SuL7215R73yzH4IHiT6eaH2u+/lYs6n/olRqNnCxS0l6iYzawNCXgWb9PLcjENN0OT1vAG77C2jaW/mGRO+axuiCm3mzyw1aTjOgSS/P379uEpCSEbwRfAS5xp7auVRrFKmgqiFBYqmXaoWEPBqW0v5ObBURWSUa22//XqXl+RL9nIzTLcFFSuXvtf02+XMjTqbvMn7SVYjIpWkeRaIAPaUUIqWOyKLZtmlNWK8ULSVfl9Vf+rdMb9vUVZQitv2OZCS2z2gmajhdR2Tvp6yuTuNZs0+9H0lheWCpTkxgNKxh+zHs2qRGVJa/7sBpv/1qYukZfTjbUlwR6kgp2/8fVvkWpUg4fnjqBkQTMnwPFcO6eqjmk+RMXqn88GDe1uMRbwsTIZxual06Aq4dA/m0i94AfrrVdiGRjFYZJgGgNJzP9OUwa4CBFgOeM2aipku3hyKl0uwpfPcbSkTHnj6fJa+o50rnywGdwYM4IjvXul/vEhEE4IzrbAKTJ5xEF9m8Ln0faNoHAeNLNFI1Dy/m10oCEYkglNp41VfBPymUzJ+dPLcU5udp20bYI5UgEZRET7pF+1HnHp2jyLbZwLIPgNOeAwAEm6dXvz+0Gtg0zVbpz45i+p7qqm7WINL37Pe30262RfHKDb39LErwp10gJqEtz1N79izwf+Yyc3OCBK+josYm0MMe3Sb851yXKRfAzJUBiFJmL+l7LstK0t9iFqWYgMn1IyVv8+Ei1WlLwZSKjyXiNkooSCqMZjz76xY899sW8V4tXRpHR0BTIhYPwRNFyjc1qkw07ZDZui9Ol1Zh4fYTMJotYUkRrJsVOlHKXzYfLnRar0Rl6hrnJ45MHKP23JNP5/oD4NZhdJknRVrJb5AZJs4hb6j39OWiqzkQ6bjPlI4UhVQiEqDGmdJRw6oR/j/EALMBGd7SjsijydUXSunco+gf1/OvVkvv564v0SVQDCEQpbyhFIVDnfj2FwF129o+X/KeLUrs4nec101NxJM0f29Rn16/H50MjOtMqaKjvVZr8uxVJGfR6/6bfcsifCSOayzuhud2IXWxtgrv6stEepwiKz4BDq0JqA1ChCoO3jf1O32lSEOU8OiRVXoKx2FBlT89LpPzvXQRrCjVWMUZf6cpHenQoBhWnHKd57HNtrTKQKL0hNG52bNZO3s7CliUYiLGkQIvVQ1kdG4UO+JEvBMKLaG8yj/TvSpZp1/td8ljqFOI97smiBs6f4SeQNOrqAAAVaaUmLP5KCb8s9ejAHTMgygVwmw4wYNT1uPtv3ZgmkzYiEGNLmCftEenRTdSLNrEouDKeEHpZpUq7J3c4Tqh53m4RUp5mfaXe2zClL+luRkmGihElNDv98f6ciEyNbZqcUfTi0TVPE/0sxjwvjEbI82pwgfoSkrxk5PuUvGNOqSUSubrfMqwG5A7CTA+7kucIqVC6LtYpx3Cipr7rcY9gFGT3VMAHd/1Mg9JrHMSv5RM5V26tWfdZzN8P+teRIPG0OEceyroIrtvGeEWhRMkdMzLI6UUhRytHqdhwRf6CpGu+pc9EsmNo0HcI/3xX+D76wL/vqhYaMIarVEIFO0ttv2+125ELqcQFnygL8P9KcX4P0MpKMlPFS6FQKTUvXpWLepAi6eNGfjAmIX6ShLJvOds0cW7VUZo1W6twuhcIX0PyXmjxqIUo8jxIv9CEx/48d+QiVOhFieSkVAGSt05Sf0Tk6IKI6bKUjxJ4FBDtNIMPRFqoceV1fvyhSBFwpTE+AW78fO6w9jlwXNKuu+tNJlx93drw9a2/FLbjcrKvXluy04E9pwsjXYTGEY9ruLQ8S22CnvT73AeLj9JV9vTZbyWqffAqZ02L5AvhgDT7ebGDBOrTL3JbdB+jUUYPZN88aApA+lkLJ5W0+tsKDJqlDkN/2fKtHVG5RFNfW5xF0h0XlLZLnoJ6H2zzONJo15o0oQpUqrDCKDv7cBlHyAsVESomJF8myhFZ7lus25XAzdMc/fxCtb43Q+kVFASWkiMKoEVDxhK8LI+dPciJ2EVIixtEclgXUmU+llX6YgqmqetchLHSNiiNMO39GXi/7+a6ETNrrdHfFHKreT5Rue0nF0aEx4ylAhjd9t4M77Ql7s/UDYoVIv8532nj0ft825ktUki7ax6UV1TETr3t81SvzLSMeqvp5QpsLTHeIdFKUaRVXvzw9bRm75OliqgQOt6WUgE6md7uWmJIwrK1P8wvTt3B35df8TJWFsN3p5iJiIlXlJZSz1El1ll52ZeSZWiqXU8EEwEGxM8vPnjDFcj11OuEVJ25De1+/9xHiV1dCkCavl44OAq78vcYvcroepCVGWIYWIEk8WEaTumYfrO6ajyUA5+gz1N6gyLHi2sJCClAO2Hep+x63i54OGa+kXROPU6Vn927VC2OtsmZEkXW39S1cJl5E1m7L1uBBp1R1io39G2nWu1AIa/YatI6Ksin0TTvn6k78m2ZZvzgPqdXCZU8QNH8xj2GiJFZ6tOpIQVaqzYqTFjgbZKeJht1JqQb/cyCpatdiGntUWHDnTMkyjlEl10TGN2GPmT6HJKY3Ey9CbhZ4auEqu1RvH/NUOZupTDEHPSLhI1t+jQUloXF4Ftqq5SpNzR+FtN6ULMWKI1Yq4sGk3JP0oJSZSiqEqf+Bu9KHnPeU3fI1HK5T5ewYw9GWBRivFJqPowdMrN+Ne310mPZjmId+4/v11MiGvhjnAprnD+AVh/0EP52jgjFoUeKa3PVcA7qMInikl8yCtLTbpsIkW9JQWuHV6Fctaqyf0V2DjV9l8tBT4MdxkmQpQZy/Daqtfw046fMGX7FDwx9x7sVOg0S5EW3e0RI6Jj6Ksz2VshGsqTeTaJRW3P93BRVbpjDjR9L466aLSNbpwOXPU10PxM23tv1QDl26TPre6jOwwH2l1ki3SiV5pCNH1qDWDkp0CLs/zbZoYM9/1A8wkTJACRoT6xRmvCPFna3DaFtLRAkFL3Olr1aGlPedsniy6iCKIp5nzh00TnxYVmm1gyV9aWVXZBp7VVZxNzASGcRZpTdqGuLrQOUYqEKoowI07AJugRDxszMNSSgutNNs+0SfoK3/5SJJzKOGzfdg1ViVJ+npMOcZvS97x4Srm2udmZSEbi6IrHhBNvRsah6sTMzT2Or5fuQzJwYecGiAXC6Y00a+NRjP5iJaavqxYatRyGoQpvm4nOxbIqE/JKnMN3pT2pdfnuq39sw4YwiIF03u89VYpTJV7K8cYp936/zi8T/njg1gmrce1ny/32gGNiHNcbWReTVtmEvud1eJ3jrVEYuVqArAbKnbZQVu1imCApqSrBc8ufw6ZTm5CqS0VOag4OF+zB84YyHJNFm1ACzw57h1WqpCU6hr46k66pYPLpSXChFED5OE+VzJSW4zNSSm507kGUioenCbSddAopdYFU9Tv3CWDI0zZPKHrJ6Xcn0OlSoF4H5yi3Om3UhQIr7QO3iKvQ0teehkYV5Y7JxKJgI5Ho3myLxuQQYjtZdGhlF3IOacziOk/nxAf6ciyzFIvhlKZ6od3nir4niUAr7fMYbk5xjHf1qQoV5Af1P30JJujcI5lOamzHej2rBpnQoL5dLKIUPWKBziY7UZpiA7uMcaklRRQtoDF5vqLPclooRko1sW83r6iuYKiQvucpUoo8paRxaTWS+neXRSlGsO7AaY/jQtUh3XgodqNoEk5Lsa/P1qPFYeukfrpot/j/zT/7/E7Xi/XtH837P0pvu+6zFbj5m9Uex7uyeMfJkLfjeFEF7v/hX9zioR3xzP68MizYdgKJhJRmu/uksidZrJ5rjA/UGo57nc7qltb3jr4M96UUY41J6bdfdpBwNT4mBpixawb2F+1HzZSaeHbAs3h78NtolVJbdLrXy1J2qINOXWvqyDaEZI5t8H3hc+1syoUS6iDKPYhcRQ15NKOi6ORnpblApk0met4AnPNo9T5tNRi48nPgso9C7KgaOkggJXlCMuOWhJZgIqVIbHpGX4oXDKU4rbEgx6oRkVJ1oEGWVSOiouZrq/CUoQTLtEZxNtxiShORUGTA3sWiF/LN77pKHIVZiFg0TS+LAZ3sAs0OrU3Y8pfZ2kqsdE2lk/UpP9OXi3n/oatyEuZMsKJAZjxOSNFSezVmmGHFAvt8h1iqKzlTBkEdq23fn7KLWmpS4ml5VKlQ7ikV0nNSWpY3o3N5pJTWoJy2nyTwFY8R7DheEna/nyMFQaQdxJEIkZ4SwoopIeDb5bEfnRZrtxHhjgzydrx5ilqUBrtGSolhSgODpEwmZsZgNmPQmOPhyXMYSNLVTnxRyktJaY3LTt+kMWGd1iQ6JF+a89xLh5srVURmMUxkOFV+Cn/u+1O8/0+P/6BNThtkpWShb6bNvHq7rGO/wTV1T0rf8xXhIHm/OD7LRKmUTOe7FNd5OYlSShXhfIhSni7KiSxKuaZEBgNtX4qaooqIgUZKhRky0u8sOybvMNkMuA9ozO7XX5WQPxUJO5QeeJE5BS8as8Ry6E+KlvpGXyGqy9W2avFsSgsMs1Qf15fbq0xS9NYUve2aT0JVFjRoYtWiplUjBKldfkZLkbg1UV8hKuMVK0QtzdcasVaWFkj+UBL5sIpv0DrVsJ9zLexiEXlk/asxCQEu26pBX/k5ToFy9unIK0uiQmnbykzET8IixLtUaFBbrR+ZN1zT7qTfbzrHPUZKGauvITq70MaiFJPMWLinEjLqxYDBuVxIXLrrVFTbEo9E8nQoLDeiUGYm70sAioZRuLf0Xia24EioBMOL2KR+OpcKS/pqoYlu8CfrKkTKwz/aKnGT7hQdJZ7iMkz0IA8po8WITrU7oXu9aqPuDik2/9FtGndRypG6J0U6+RIiqDPYsJvycZ+a5d3rKT1HfaSUUsU4j8gv5gn2G9zrJiC7EXDe06GdrxrBKUo/klIluU4WPc6w6kW0FF21d2hMIqroBX0pDvohAEmG4F0sOtxmTrdVjbQjiVLEeeYUvGHMRAeNcyW67la9qHBHc1lujz46095G6kN0stqO1a0eorm2aUyigp8rUjotnYnLXTypKCKLBCtihDlFRI9t1pqw2R4tJa1TXasGWvvxL3lkbdSY8KX9u+daUtwq5EmiVJ59Hou0Vbg5pQhztC6V7GTn9mH7tOQnJS0vqIdEruc3FQDwWX3PLHvqrEvM810lAST/MomItz5neYJ5r4T7N0oXA71CeRP8qZ4XLWKtIlskfw7GfLlS5ZTR+5FiTSp+8BXZmohRb0nlKXVknd+ilGH3X0DjDg6jXXryTf4bd5nS8b6+TBjvSua7Ta06vGk2VXdv1EZqMUwYOFxyGIsOLhLvr+94ffW9gtmItjsWQJsC5GsswhdHSsWhbl0Xe4datdE5pc1c9CLw7RW2zznNqz3YUlxFKfu8LngWKD5W7W2kxlNKioRQg9xfKtGgbTb6xzDMWM29ZHTuN8+zGGAw2byQiI5WnajCt1hnixyiqJ63NWV41ZgFerS9SmsSYomUvubKKZc0NznDzCnifCCRiVL6BJn1gNPOmRNjTWnYYDChRGMVW6WPTMwlf6oVWiNyNSZcKVrkDPlUkQDUwqhFO9n5RusksUhXhYtkaXZT9ZXC96mrRY8bzWkiSokitX7UVeBFU6ZjnerK1klaf6peSPfBJOaR75UrlLZI5Nnvlckvi95N1leiZ5XB4T8FU5XNfyxvt3+V94jKIu/jXT3VHJU7fRidS+O0Ov8eRiUYCXzFY/wh2SMhQrn6sbAlY0viib/2Rvd8sPrdtsowC8dbjvj4IfaDWhl+3JQzqvhryzHV054uVS6jzsQYdJ7PeQr45R7n4Uc3ep7eA7oja4CfbhWpGD/obE+a6ab+LIvBYWhL12CdPfVig90Q15G+p6KsNsOEGvqt+3bLt7DAgj4N+qBDbZn4U1kshFWpw7pda8JynS3aooNFj3TXine+0vdIAEqvBVz7rc1ku1l/F1FLIQWvzRCgx2jn+SiJUj5Ni1Xcb8iLDyQqddsFPw9V6XsB3HGeeTeChSJxzrGkoJa9693RLgD9ozU60sxIJPlEX45X9WV4V1+GN/WU3Kd8fDiiihS68nWgxVhzerUgRWS7F7WoKaazHZ8kFOXI5iUJu9sVfKXyYXFEJB2QiVDydhH0AOSIkJ5sVe6kiCwSpGh7XGlOFRFPO7XkaWWRRUppncQmql5IYhR5Yr1jzBLr54r0HaldkuBEItiXenLgsq+DucrxsIWW6Z8oJfttVMIhQrkca3Kj8wZdnaehVD3p91sjiVKx0JOMPBwpxTAJSEWAhuOMu59S5FG+YTLoPP9oHi2Mbd8Xsrx6akQnLNudhyt7NYl2cxKOD//epfp+e9KK/eFvEBM85aedjMkVmeZSxt4H5N1x2O7HcandT+QWcxr6WQzCt+NXXRVm6Soxy1KAnrDfXC96A1jxCXD+s0CTXv5XH2KYAFl1bBXWn1wPvVaPMZ3GOI+0d/A6WHTYozMjV2N2+NScl1IPOO8JYO4z/vsIUbl4ehkrbJEltVpKM4Cqi6xSFTe5KOWvV8zgx23RGTWT4HeTUvookqzFwNiIlKrfGTiRa3vf7kLg6HrgwAqECopEkiCB9U5TGj7SlzsZhFPkEEX+1FVo8ylUV6lTh/J0JJQ1MmpFVJYc8pWi34pijRV7NGZ0kAlc9FmCPKvkSMbhNDd6R5Fgo8w6zNDZbN6pEqEkJpMI1s6iQ67WJDyyTkrrJGsrRX8/YSJfN+9Up++R/GR1iFI0p41akxD/BlHUFolS9uvBHntqYivZvvAKHZ8yTyr38a6ilFZmdG5WjqaSp8trZdX6khCOlGIEyZ7SEWPZY0GzfHdetJsQ1/y+8WhY5//Zoj1+H4s10mw/dtY4On7PbldX/L+6TzOc2boOHrqwPdIM3KllmKDTBIh82XVk+2yvk1IKxky7oeyd5nRRapvQQSP8TeiJOaV80E3hJmuFMOCtbksxMPtR4N9Jga4Nw/hFuakcE7ZMEO8vb3M5GmU1cp7ALu60t3eUF+qqbBXItCkYcMNvQOvBwBWfAKMm26b3lr5HaXiuGNKA638ERrzpPk5JmL1mAnD+M+5Gx2J6WVfLtUPqi44jgO6jkBRQxcPeY4G6bQOfR6iMzht0Ac7/n3/f8ZNG0AoDcuI2UxoGWlIwxmQTMFtYdY4Kfbs9eDoppboFum0o/S7bRRKgSKbO9vNrk4s31F5Zm464+GCdtFe/O8cehbtQa8Rf2iohChEUHeW8bNv5RKJUnpeURF+QD5W0XQphBT2qpblcYV8eVfoTkChltYjqhRQZTLT1kCLphjdByptnHAlSUqSUazSViJSyi1AOUSo5O+UsSgXB+PHj0blzZ/Tt2xfxDqfvhW5eXRvXCN3MkoDLujcOS/W4YKgKc6RZID5tVi/Haqyevg9e0B6vXtkNo/s1j3ZTGCa+COFJTU+uPxbpC8C55hQRGaUEGeXSU2xa9iwFA1vk/hayNjGML3Pz/Ip81M+ojyva2n2e5GyZ4YiUIqQu84XIgkHq9DXoDNRs6rlDTlFQJCRRGp4SJCA5vmf1LlDUbgW0Pd9zx7/v7bblNOrpNsrUbGB1ZA4THME8obvhp+r3FK3lM+0yOCgC6L+mDDxiysDZ9mvyxZZUfFiVjVeMmTjDnt6nVP3ODKtDwFEtSgVglNFLlmIoTyOUR0pJZuEETSN5Sg23pCDTqhFi8Vf6chE1RfNr7SIAUaQUQSl8Sul7apFS+igVcje1T6MR8xlstm3b/RqqtGcFqsqEQLRXYxZtImFQSqn0SE+XSE21opR0rdg8HSg9pTyNqL4nGZ1LkVUcKcX4ybhx45Cbm4vVq1cj3onRPm1cMvYsKdw7eSBRM1Ah545zWiNcvD+qR9jmnWiEQ5hO0WvRtUlN6GJMdGSYmEaE8wd/PlIHYb62Ck+mlombfXryfrPdP8QTF4un21b8o6v2OUmKEvVM6Cg5CZyqTin2l2OlxzBn7xzx/rautyFFyRx84xRHR1SKqqCu3oXwkOajdOwO+Z9NSFKD/PfRl2m6Er1utEVkKZiXW2q3sUV0DX/N//kyzjTuZftvcK40J0ixHxuN3YVBQVY956gtJx+x8NzDUJU8ekggL1BCDwf00DjEGyGwuHAaViGo0BS11IpNAVy/qW3UOkrR2yMTn+SiFP22SJ5TRSJCyepI/yPRjXwLqeIgRX+NVvj9kSKlKGrJ7+gvGanQIMseLUUV/WifUUoiGZxTeiS1UaQaVpWI6CRpu0rL94raqpme0vfk0cyu0ZKlJ4Giw/bpk9vonD2lmJiOtIgUofy9iYX0pEinc707dwcWbD+JWKNxjsKNiQpiMR1OEo2UTC9DkX67/XgxOjZMnii/RL3mxeKxy/hBeQEwZYzNdDlIVmpN+JwipKxAZ4se95rSnQ2gFWhv1aGWVSueblPHQ0rfELAoxahh8tW2/5T+VsMl7U4FU7ZPgclqQvd63dGjvu8HS1TFjDrGVN6+pt5Dt0Yp5U4SKfwlHOeBFNHFBAcZktdoArQ6233clV8Au+cDXa70PZ96HRUGRvbHVUopI98jC6wohlWILQMsBod4Qz5KlGYXLjKgQV+LHsu0RizRVqGNOV2YnBdorCKqJQUaIUId01jQzH4eEvQbQmIWGa13NHuXGshXih6YUIQVRTzSfGsHuE4kUpfAjC0ivVCDRvbt09yixQ6tWaSlUzupgMcuewpiG0sIRSlPRufeplFcjhXJCN9hMEl8+Ccuke5wx6IglbAo7Nsdx31UBFFBaWVylX43J6iRnvyJKxPjFB0Fpt0MbJvt/DSVPJwKDgQ9+20aW1LTQLMez5gyFKs0KR0/JEwppo2wKMUoQSXWKSWGKDmh7Hmmkl2nd2HZkWXiOBzd0aWynQeuRQ1cbk51+PEoonTs+iVK+UjfY2KDlAyg+3VAjcbu48gsnszUU7M8f/+ab4ChLwMNXSqkRYGmVq0QfcrtET5v6cvwgb4cS7XGwNLcAnxidbY9/Y1S+EywmZ4Tja060Ua52fkJu59UfdXm63DzdCJBiyLFAkHyldpvT9+TzNspSovYJ0V7ySKl2oY0UspD+p7aeWnZ6Jxhkt5TiklMAo0aOVXiw8wwjHhq8qt/bIPFYg1bUYJEiLB5/aozVE/rqcxyvJMI+zFpWPkpkL8XWPR69bCq0pDNnqoQEe0s/j1Nb2t/ciw9Sa7Gqs7slUkufhwNTLgYMJYDG6f635GT8d3W78T/c5qeg5Y11Vkh1Neli7SgGqJL4+E4V0q5M2QgILgCZeJSuzXQcpD78RtIymaQUBGK1vZr8UxtlYj0gb2S3CmNe5W6cEGFMGpYNSjSWLFJY3KYnLe2atHYTZSyOFIQ/UHylQrU5Ny1Ap8NW6QUIVX722cXogrNlULY09hTKEMXKeU6ncZ3ip/S960sSjEMwzAAjObY+0E4VliB3KNFeH3OtrDMv7zKjN0nSxDPGHTqb9BYh2eiTphvPCUjXOcbdd9IHhs7NGQLa3WuErRnEfDVRQ6jaSbJMZtsnih0LO+aB2yaFnClucLKQmzN3yqipK7tcK33iZv09q+dShEL/rTPyVOKu05JQWq2zeCaXmnRsTYg4UeqLimxlbyXELj3kr9Q1NJZdiP2qfpKIUyJtll0IlqKOGwXe07a2yVVDlSL3NepbhBCm2R2LnCKlNJWR1CRqbrV9mCliVUnUhQVadzDfyFanppH1wljmZ+RUlrb/60zgVVfJN2NKl9ZGYElyQ58holV1u4/HdC4YHntj2148Mf1iDfO62AzJx3RzT/vkkS95HGgVByhlD4UwgNT6rjU8TOVggx26eaQfKXy5KIUVQ+a96zt/dL3QtZOJo6pLKp+v/gt53F+RkodKjkk/tdLr4e66XW9T1y3vV/zdhOSlMzTvSIXpfgqmzT0u8P2ihLtZJ5+WvuL/KS2kpF3kFFF/jDMnCL8CCl1b7sjUkonzMzlkVJU6TWQdlEkkz4kkVLV5yb9itWzyxzN7b9phRorCmDBbvs6SFHBihgyg4uUGvEmsHexf5FSGnt7LGbg3++AQts1MVlgUYpJ6A6aWs5qUyfaTYgrYjGSKFH8df7KPe5x3PR1yj9QyXyPfO+QdnhlZDfcfnYrv76X5Jc8JhYIYxoQVRqiG/BAIqWoipHkwUFlup1J4osN446pwvO41V/5NavDxbYKVE2zmwZ+BVf9Y+jnL0Cy3yQzUUFK3yPIyF+qyHc4iCp1gdAIOrxalYmm9uXTUuk3Qkrfo/ZQVK3kddXAz3aRKXor+7qGKn2vvi7V4U1Fv2lS1BSl8FEUMNFGTepeoJ5SWQ2A1BoBGp3bsVAl3uSBRSlGkOw/t5f3aIJEwtUv58sl/huOeqKsyoTRX6wI2fwYZ7zdUnvyk0rmbmKKXotuTWvCoNP6dR1jHz0mkcm3nw10s+/F1tenx8dOV7Nzu5BWBisqzewtlfTQE31PHN0AFBz0O1KqSVYw92Mefg0p9VROknq2MPFFA2hEKhxJFWTmT1VUlYy9IyVMvWTMxAhzCsaa0pAGjRCfSEigCnwUVStVBfQ3fY+43pyGc80pONOeKhgIcpGuoda5+rbkK/W7rkpUMSQ6d7gcqN8JyG7kXeAOpPoeRWeS8b7bNF6EMK3LOEtyXadYlGIEp4qT++ZSp03sbv2v64+EbF6r951GhTGxL5QH88uj3QQmzLAkxSQy1X5SFC/q/++b5PGx0+4f4sBsFNWgHjWU4OmlT7O4m8zs+wdY9qH3aZQ8VTxwpORIYKKUmmPQNeLA3+M2p7l/0zOJRxRC0una/awxE68Zs9DMqkMnl3QzNRVVBSMotTb49lMK31hzOoZZUh0PPaSoKBJ66NeC5JvaASyri1WPe8zpyAqinbRc6duNtM7VOCmFj9hkF6SGm1PQtNdtwMhPgSybDUTQUc3yNGHxPkCjcwlrclXF9r80BpOQ1MmyXWCYxCCcaWuJLd/F8c0Sdw79I0E3VzKncsYf4dtZ0hNrf1P3XCOl9motIhWQOh8SVEqbRK+84oMoqipCzdSaIWo1E1f8+ZTvafyISDpUfEh9+p7T750aUSrISKmM2sB1kwC9c/QFw4QbITzZD/EOVltCGn3MsWqcrss+CwMcWBaW9lEK31GNBZN0FY7fHH+qvYYS2jo5Vq3wQ2ygcz5XW1m0ZDQlICFtlDlNJjb5aK/aSCmKjCKDdFOVLX1P6TrjbV4arfpI1ASEI6UYJgEJZ7l77vSGl0D2HO8SG/7ockUViZqrz0dDXBOitKJ8yU8qwOOhIbTIsmqEIEXmtnJ2yXymjpUeC7KlTEKjslNVaizF6crT4YuUoiqBwULRUr4iKpjEJbthtFuATJnfn+ooqTDfuA8xp4gKdiX235xAUvdCSXP78tvos93S96TYpXtM6SL90Ot2kV9XPAlJ5z0NXPuts6h0yXvAFR/bK+lZg/OUsrIoxTBMAmLxZEjkJ9o4UqXiqKkONEmynrGQ0hqqc4JhQkaIbkLzHJX3tAFH23a3V376W+ss4O6SiVQny08G1U4mwVEpskpRUrXTaiPDoODDEuyPYZIZBjNhoM9tQIMu0W4FOgdiCB7Gm8Q+VgM+qcrG3aZ0DLAYcKU5upk395rS8YIxE+2ObXMangMtHjRl4FFjBjpJVQ2lane+8JS+R8PT5GbmdqFL2t5KgrlXTym982eOlGKSkXBG1jCxwcHT6r0dXJm65iCenL4JVSYLx2G4kJka2gpagdw7xMo+6deqNuIJC6c8MrFG6cmQekoFU51pqDlF/P9HZ0SRXeRyFaVOlJ0Iqp1MgqNSDDpcctjPKCmrf7+GZhalmCBJzQLOeSzarcAIcyp6W/TCcDxWoKij8ywpQvTpLAk+UaIGtCLNUQkyUScRTZVAlJ7jOa1O/n0nYcvluqSYvueH0bmVRSkmCeG+WeITzD6etHw/Nh8uxN/bjiOeiMRxfckZjRFtNDESKvX4sI5okhM/nhuxst38pcLo+UYlTleJIU5uB3YvCMmsTknpe0FUZ2pv1YmS2ZTCN19ndERgkV+HxPGy+PpNYCIMeav4IUo1zVLhJ+WG1fcFsFbLAObLMIi5qo31oMV/TZloH2XxJyFQEpvOfwboe7utKp9jOk9CksY5usmt06HQCdH4EyllQTLBohQj4I5MYjG4fXh8DypNltgJy4kRDLrob5Dot8CGPGo5HojHymH/7DqFaz5djp/W2tJdmASBjsWtM0M2u3x7ZFPtIG7zKIVvmP1p/F/aKphgdfKTIjhSKgk5thnY8ou6ac1VoTc5d0XNdbzVYGDQg/7Pm2GSOJ0q7vBXfFYSiNqeD/S60WU6jefIJm+RT0qFEbxNr9HGnAgaSViUYpgEpFmtIDwZEshTKt4rHapuQ/SbIIh2M+pk+RfOHn+SFPD+vJ3i/8Rl+2JyHzABsuknr0fkQm0VJusqVKXaV8KKYkekVHC3eeQRUtOqQb7GghVaoyN1TyqvzaJUEvLrOGDpuyEVpY6UHPEvfc+TEJUmS7mRQ6bDXUaqmzfDeCLJRIK4o+Ug/6b3lJanejqNyziX69Kgh/xbptY1UioEBRriCBalGIZhYkgQKq00x6UwFgsCWd2sVLx4RVc8NrSDqunLvaTBMUzYKD1lS9WTnyzLP/Ia8TFRX4HfdJXYJ0ud8xUlRT4fma4j67Txq6lUcvwii03snairwAat7Sb5LIvNlyO/PB9GNpFmAhClTBYTtuVvw+6C3ThRbhM3m2T7WXlPYAWGvwE07AoM+b8gGsswPkgykSDuaD4A6H49MOR/6qaXBCJfN65qPaVcRcsajYDLx6ubF5HknlKckMrEXKeWSZzImWTYDrEQORYr4gp5NEX7WtKjWQ6OFVaomvaXfw/jpgGJ5TUSrz5ZyQKljK6ZfJnwa6rZqKeqDnwZrOJFHNVY0MoepaTGT8rtfKzdGsjb7VebLzenYqXWhAMaM4pgu9aQ0e50aFBlrkTevsVo2Pp8v+bJxBnGCluHnMyeQ9CJ31e4Dx9v+Bj7i/Y7htVIqSFeAdH8TNuLYcKJayQLEz3oXsf1QQ4JPv3vtr3/+0Xf86AISk/I5+0tUko+D6UHS273ZBr16YTW5IrM40gphkkSJi5XTvfxl1Da8DSoEd7SsQZd+C9xrAFUEyubQu0+OXS6PNxNYRgnlhxegrcMZfhQXw6cyHUeedzlsx1KnXNMoiZSyj5NbaXUPa2s8pAv2l3kiJa6z5TueIpJEVhNrVrUN1uBwkM4Pu8ZHNz6Cz5e/zFOV5xWP38mfvj+WmDCxUBV4FV8JZYdXoanlj4lBKk0XRoyDbZ4vr4N+wY2wwZdg24Tw6iiXgeg3YVAr5ui3RJGSSBUm47n97I8PAhyW54KY3O/0vfMSCZY8mWYEPLcZZ0Rq9ESa/adTsoojIwUHcqqwndhj8NNwtiJx12nxlOIiV2WHl4q/m/WmnDKYkVd+cgiWwUyV/Jl+/yYPTXPG3ne/KT0KZ7LX5cXOA8b8jSQtwvI3yM8pEab0vCtvgKdLTpooUF9QzYOmatwUqPDb2vexeasmmiU0QAj21/ls41MnFFRaPt/akfQT7F+2f0LzFYzejfojbvOuAs1U2ui3FSOdCVTYDVwyh4TKeiGTzre1n0b7dYkN0riTrhEKU/zdTMmVzGNt06D1aWvwpFSTDISK+k/8U63Jh5MNpmEJRbS92IFsSliYHOo3SWRiKSLNDGw+RkPlFSVYPOpzY5712VadV5MaiOl/tUYhRk6/SfqKh0NniKlUrM9zLX6LnuEJQXPGDNxt8kmHtQ/slH836kxI9dUCBQcQNHG74Eim2k1kyDIhSVjcJFSFqvFYWo+tvNYIUgRAQtSPccAGbWDahPDBESnS6PdguRGqXJe2EQpT5FSGhWRUn6IUoWHkjpSKvHuyJmAWLTjZLSbwCQhQzo2CPsywq0ZxWP0WHg9paKP2laYLIkXdcSHY+yy+thqESEi7aKlmkpV38u3Rz55E6UssOI9Q7kwQ9+htd3I1lWMlEoN6rzqYtWjpv3Wsb59/kt1VY74rZLCA8AP1we8DCbGRSmTOr8+TxwvPS6M8VN1qaiXUS+YRgXVDoYJmrPut5lqxwuh9N6I2UipMN0AeZqvW6SUCk8p+k63a4CmfdynTclMaqNzFqWYxLxYMTFPv1a1cW2fpoh3tCwCxBxq70vMluQKjWaiy4qjK2yFwswpwjthP0w4qDGrrqYn3mssqFTokJ+EFRWwivmeaTGI6nj97BXy1Bn1avy+N2hgF6XkVtYlLBYkHkFVHHM+Hg4WHxT/m2Q1gTZcUQ0MEwkoFbp5/2i3InlRutGLdvqemkgp+q09617g4rd9L9fColTCsmfPHowcORKjRo1yGr5v3z60bdsW5557rnh16dIFzz33XNTaycQvHKWgnl7Na0GfAOlTnL4Xv5FjCRkpFROxaoxS6t6mU5vETesFlhR0t+jFvelSFSl8eS7RUScUoqWO2sWtRlYdHjZl4AFTBjIR3pv2+gq3kKUsSiUecl8Tk7roPk8cKrGlpzTNjv8HUgzDxHCkFHl/pWQBgx4MbP6Z9fwXpWh5vqbxZJou0CR1pFRSGZ2vXLkSw4YNw4IFC5yGZ2dn4/PPP8eQIUPE53vuuQdjx46NUisZJni4Wxq5TjpHSjmjiSOh0BKHopSvoNY1+/Mj1RQmgNS9ZllN0MR6HIMsKViLSiFKXWtOhc7LmSNP3yOOaSxoZnW+sT1iF6oaK6XsyfF4c+3/mVtPtqwUaFAFK0pc2sokmCi18DWvk67SGvFrdhbSS/OF0f7IqkI0VIiUapbdLMg28XHGMEmN0m+ZPBKYqiS2OR8ocvFpUkvz/qjqdgP0zbv7FqUGPw6c2g40H6CinX781lqSS5SKqTCFqqoqPPHEE9Dr9SJ6yZUZM2agb9++OPvsszF48GBs2bLFr/lff/31SE1191OoU6eOQ5A6ffo0CgoK0KpVqyDWhElWYqFDHu71m7P5aLSbEWMk+l73j0u7Nxb/ezbPifk9Yo7Bjk1ppQmnSgKPRvjmH/ffTib6bD+9XfzvU6+H7b9Fj2xocUpj8Wl4ftqevtfELgJJFfgKYRFeUsRRuyjV0Jco5fUprRKez5F0aFDDajvbzjLbUgU5fS8B8eNp/XRdJXalpmFTejoW6qrwxoE/YDRXH9+Hig850vcYJv7h613UUPotc01P12oDv0fXaFDV7XqgxVmefzclwanjCGDQQ/bleZjG02dvx5M1uY6vmBGlSIQioeno0aMwm91/AFetWiWil77//nssWbIEt912G4YOHYri4mLHNH369EGPHj3cXkeOqK8E8/XXX+PWW28N2XoxTDQIZwbVugMuZcMTvLR992Y1cWP/Fh7Hc6SUMxd0qo+PRvfE/y7pjFjHHIJIqYKyKuw+WYJQMerzFbjlm9UoLFNXmU3tdEx0Ka6y3avUTavtiCy62GozNf1FGIUrH4tGWFFojz7qRCl/drPzlVoj7kwpxgxdpZMoFXCklKcb9yLvDyGGWlLQwaLDcEuK+FyqscbNtZ1Ricqy5OWwYj+lkWoNuDWrPWpaNThcVYCZe2aK8WaLGUdKj4QmUophYo0mvaLdgiRDqbqsPjwp66o9pVRM4+07VmsI/fzij5gRpUpKSjBp0iTccsstiuNfe+01XHzxxWjXrp34PGbMGJhMJkyYMMExzZo1a7B+/Xq3V+PGtif3vrBYLPj7779xwQUXhGitGIaJd24Z2AqNctISwkMpEtD2aFEnE4YY9Qsz6DQhFaVu/GoVHvxxPfaeKkUo+Sv3GP73y2Y3wcv1cHtk2vqQLpcJDyVG237MMlRX17mo0iKijQ5pzFirVb75PG0XeAzQoK09ZY/S9361i1Er7N+T0vca+RSl/IyUMld5HX21OQ0vmLIcEVrUmuDqszExw6afgJ9uA8rUpQTv0ZhFDF/ttFoYmt4UN5ltv5vTd07H0ZKjOFZ2DCaLSVTeq5teN8yNZ5gI4CQi8L1g9COldAGKUprAfjcDEqU06h8AWDl9Lyp07dpVmI17Yv78+SISSkKr1aJ3796YN29eyNowa9YsjBgxgjuZUeTJ4R0Rz8TKsRMuH6Vkff6d4kVgiY09zqj+zZe9N4ew+N6WI4WhmxmAb5fvx/qDBXjyZzLH9kxhOUdKxVOkVLY+wzGMjMiHmW0RRhTxpBRhRNX2iFpWjUP42a41Y7fd2Jyq91F1vjzVolR4rlhkjKCXm50nWdpBQrLsQyBvF/D7Q96nM2QAddtjh9Z2THbIsd3LD7QY0C2zCYwWI77a/JUjda9pVtMQVN7j44thkhpfnlKh/M0LxovRr/Q9FzhSKvbIy8tDUVERGjRo4DS8YcOG2Lt3r1+i08yZM5Gbm4sPPvjAbfy3336ryuC8srJStEf+YkLDWW356Vmy0K5+NuKFvi1tKTdKZKT669HChBtv/WH5OGscdJzLjc5PylybXGEMobLGhLX6HpFJHXgZw80pIgqKRKZDClX1JJNzMo2WRCkyFJegd0vsnlRZVg2yfT7x9fO2r+Ug1Q9CMu3+UsLsPA7OLUYl5ae9j795FtC4B3ZobB2o9rXaic4a/d3e8GwYtAZRefLnnT+HvvJejDwIZJIV2XWujufAiqhiSEdSi1KheHTs6ToTSKSUvD1nXOs9BdSSXJFScVF9r6ysTPx3NSmnz9I4NVD6H708MW3aNFXzefXVV/H888+7DSeDdEoBjEdMZnNMdNBoG3rCn30dCGZz8Ip0YWGB6spf4aSwuDIk6+NKWWlpyObbIM3sdX+HCkrzDabNJcXFKDKYUDdDh+PF7gbUdVPMivO/tmcjnN+hDu76cTOSAbr2RWJ/qoGih6R90rJOBvblVV87LBaN41qXneL9mqMGaTmlpWUhWX+lY0k+X5OZjmfb78zmfcfCcp7Hyn5MFOh4KygvgIVC88st4vdWgpL5Glg0OKixIs9iQiOXW4iTMAl9p6YFyDJbkGIFpKtQY6sGRzRW/K2tFNM0tGgcx4bruSkdJZXl5UhV8O20GI3QugwvKShAWmUF9ArTK5GpB+jIKbSYUHA6D9DZzM+Z+CRL5X4vKSpCSmkJtmtsx2ojfWNUVKwRx022yYDhTYZjxt4Z2JO/R0xfW1s76GtMank5DGYzqsrKUeXHvOTrRMd3LBDue1smfOiKS5BuP6ZK2l2JlMoqpOT+hFihbOg7sNRoRj/qSK2oEOdMomAxmdx/s4pKAHtqu4SmrBiZHtZbugakV1VBJ+1H2XVBOjc1FcrzKCsugUXr/Tri+t1y6kfZl2HQ1nD6PS6p0Qm6c56DYfef0B9YiqqyEr+ub7GK2uCduBClMjIyHBFKcuizNC6SPPnkk3j44YedNnazZs2Qk5ODGjVqIB6hioexUB6dtmEw44NBpwv+dMipmQNtDDhfV2orQrI+rmRmZoZsvuHcl67Hti6I3+Hs7Gzk5GTBYDBApzCjnJo1FbdJq0a10axh3bDsh9jEFLF96gurocqx3W37rXofkGYs6e/92zYIus3SvDMzM0Ky/krHi3y+ep0eZrvvwKK9JWE5vmJlPyYKZcYyaHQa6KBD49oNodc5R1dmQQuNxoJKnRZ6F++KAp3tmK2n0cGg06MhdDigMYtKfBdbUvG5vhzHNFbx7LWxRuc2b4IEKWm4PjObDjL3RhoMbsPFcZCapjy9AlRNUKMxo0KnRU6NbMDg2YuPiXF2L1C93+k4OaI3olRjM/Dv2vQMGPb8Kb6vz0jHtZ0vw7rT63CoxJa+175B++CvMWlpjvln+DMv2TrF0nUultrC+EH2QGBTOyCnOXLqNgQGPwBsn4FYoUajtkBGbadzJmFIcV+fnFp13CvgGUwe19tx3qWkOKZxPRfF5wqt4jxq1MyhCby3s9z5upOdXaP6O5kZztekWrWAWucBBVuBwzroU1P9u77FKGS5pGo6xAF16tRBzZo1cfz4cafhx44dQ+vWrSPeHorQIvFJ/mIYJjYJNnCtXrZzhKYrNdKVowGkaJzzOtQLrgFMUPvcNQBU/rkqlKZSUWDO5mPRbgLjh8l5ijYFKQrpBRlyLyYXTtvT98hTimhlT+G7yJyCThbnm+TGdiN0ryimNyjQ7Wrbfz8iqLPsaQklwlMqvs+tpGfec9XvU7LcKkIu1lYhT9ia29hemSf+t7WQeEq/mdUXYUrfu+OMOxyfm9doHsKGRv8hIJPE0EOhq78GLrRnz8RApkTSIE+Lu+or4LpJ7oKU63SBomSgHg6jc9ffafaUik2GDBmCtWvXOnX41q1bx5XyQkSNtGSJ5mCSjWCzUrPTDF5/R9IMOnwyphca1lSOCkg1JNCTqTjE2+//l0vUexIGSpXJgu9XHsDO4zaj62CJfjwrE6jJeRZ17hUuSGR47kmUkjr+dey3azeY0vCoMQMXWVLQCFpk28UqN5PzsTOBTpe4N8bkqTae67I1qqrveVyPJKsalNC4CIz/aI0Yry/Hk4YSUXGP2GEXpdqRMKrQUetYuyPu73k/7jrjLq68xyT2TYZKH76IoE/gaFX5daZ2axGtFvi8AvRiVCNKuQpaqr6jtf1nUSo2eeKJJ4RR+a5du8TnyZMnQ6fTqTImZ3xTJ9NWAYhhmGqyUtWJtU1rZaBJjrOZJIsHsYFcA2hQIxXpKZEVCX/59zB+WHUAD0/dENHlMjFYeS8lW/HKkGEXlsrsUVHeIqVqQou+VgMlyom/jla9siiVRhHcCjfaJpkNgs7+u9/pUvfp2l1k+9/mPJVraTNaJ4qpzUlm0JrQGJ09j07ZDfkLNVY8byjFR/9+hJXlR8WwDhS9J49WkF2ABzYZiCHNh0Sq1QwTHYa+HO0WAM36ARe+AKRE3uImYsjFHW+ikhoRqHEvH+JTEJFSbr/DGt+Ryxr78pLs4U7MhMdUVVXhoosucpgfjho1Svg0Sebj/fr1w4QJE8Tw9PR0kZ/4559/Cr+XaDF+/HjxMieQcRwTHLESuRuuZsRjulAw+0RlGrSgR7McrN0vq1JkvxdvU4+sjJlIUjPdgPYNskH2bin66p34+Y19cP0XKzx+z2S2YMWefHRtUgM5GaER6vfmlYZkPkz8p+9lGbIU09oyPERKWWBFvl0AoOp7SpAIsNpefU+qzueVDsOAlZ/a3jfoDAx91VadaZrsAd+Yn4FMezRL++FAVkNgVrWPpq/0PVukFKfvJSrScUpVIyt0KVhyeAk55SPdRSRNqpsuhoklKFqr9WAkNKEUpbqPAtJzgCZ9/JtHsJFS9PBnyTte0vfMSCZiRpRKSUnBwoULvU4zcuRI8YoVxo0bJ15kdE6eV0xw1Pfh3cNEnwP5iVklpn/r2rj97Na4feIap+H+VFK8tHtjfLXUPR3sos4NMX7B7pC0k1GHRqPBW9ecId7/79fq6odUhMBbBNvUNYdEVBNFVH05tm9o2hKSuTDxTElViff0PQ+RUsWwgm5JaWyOhyOpm10EaGrVIdV1GqXrV6rLvYrSk3RJkJKU+aa9Pa2a4nqU0HqwKBV/UAdo3xKgQTevk0l3ASPNKchsdzmK67dDi70r0GHfKocwGbNk1gNKTwLZjaLdEiaRGf46MO95tyhDJoSo9YpScx9PlWKVIoYd4/Whi5SSf4ceCHW5Atjyi/M0SSpKxU36HpP4XNajMRKhM8z45pWR3m96Q4maXZJu0KFBjeBy73VaDT6/qbrzZrXLH7FQjTEZoXORXm4agBdVatnuU+L/8SLnSq8MEwzFRnv6nsFD+p6HSKk8u0hVw6qB3kNnv6VVh6eNmXjY5Jw+bEPjR/inj+uUCr8Op0ipJLuZjkmqyoCpNwHLx3seL3E8F1jzNTD3WeCnW7zOttR+XNa0ajGsbg9c0/4a9EtvJFJLI0eACfKXvAt0GAFc/FaoG8Qw1TTvbzNAj1cz1YQSpUJ0XarbXmHemgAipTS+95VWn5TpeyxKMTHDZd3jX5SKGWJcB+nWND4iC/2JlCIa1UxPqnuCeEQSC5XHMUxw3lEvrXgJiw8tVoyUEp5SChFEkkG46zP1QrvJeY6PW7UzrHo0Uaq85+v6Jb9I+bpxv3w8MOw19Z5Su+YBJvUm6UwYoH1wej+wcar7uB1/Ad8MBzZOA05sA365B/j3O9u4ikKgZlOPsxXVFSUx1dMxFrEHdH4uJ6cZcO7jXtePYUJDNO8ovAgdcs68G2gxEHGJan+NEF2LlH4jA4qU0qnYV1rbfzY6Z5KRWOiMcZQRE2v4OiRrpMdMBnTUIM+mdvWzcG67OohFDDrnn7l4FAunrzsEsyUOG55kbMvfhk2nNuGvfX/5V33PLuZIESieTM6daHehihZpgi95LTdObzFAfaTUqs+BPx5Tv3wmsiywmzEv/wg4tsmvr0pppuK4DVUUAsMkGrF2syGKX7jQ4/rgqtYFS8NuNl+lNgEUQIj0tUfpN9KfSnqO76j4XdbYl5VkEcf8axIEZHLeuXNn9O0bGu8RhgkVVJWJCT/PXdolbu5HwoVOo8E71/XAnQObIRa5a3BrNKyZhv+c20Z8VrtbThZXorjCZiAdDKEQk775Zx/+2GyrbsXELhZ7FFSFuULR6Nzf9L0Ce+c/R9HAXMU1/oBnU3/32QVflTJL7ilFHFkf9DyZIJCqKxJVpcCu+YCx3H06vX9+ntJxmik/Dj11tML1Q5gsP7BMHBNjx2i7oYg5MmoDQ54GGnZVHj/wAeDC52NDlFK6xgXSBlUpf3rbfxalGLWQyXlubi5Wr14d7aYwDBMEfVvV9pm+pyT0cXCf93S4WIBSKr+4qQ+Gd7MZ21q9dWZko26dsBqjv1gZ9PKX7c4LiUC1P48NU+OFSlOlF6NzhfQ9+2HhanReYE/fqwU/b4Ylo/JiP4RMT6Wp/UBKQ6yAFaYQXRcKKwvx38X/xXe59tSyJKfCVIFyk4Kw5Mm8V2LBK8D8F4DFbwEHV/kWpbxcJ0sVI6W8lD1nmKQkxs6B7AbAzbOAWi1j50bWcZ1RaENWfaDrlUDrc5W/q1YQkv+2GRQKewTz4CYgYUyNp5TO9p/T95hkJDOV05AeH9Yx2k1gIsyk2/rhxSu6YlBbWbUpl2gZ73j+MY9tqSZ5MZqjt2dmbjgS8HfnbD6GwwUqO6NMVCk3lyun7xmU0/cyZGKOWXblqI6U8lOUuuKT8PlzXPKOrdy4F1HKKerr0BrAEnglvll7ZmF/0X6sPBq8QJwIkXgk0D288GEYzUb/RKl9S6t9pma7plUqHF8eqidaYEW5Gk8phkl2ajQGGveMzrI9icqpWe4PIMj4P9rIryPnPAa0HgyMeDM00b36FGDEWzZPxLSaMRAppeI7Gvu6sdE5k4yc37E+kp1W9WzB6IkA3yeqS2XMyUhBj2Y5Hv3M5BX5eJsmdhaFxUIxX+FdmZV7q6OmAuHV2Vu9R3qFgEvO4FLpoYhmUay+l+I9fY8oo/FN+4j3px2RUn4YrNZpa3vC7C8NVFZEbdLb45NrLTQOfyxHCt+sR4CNU8RbOnbzK/JVN6nMWIa5++eqnj7Roaix42XHxTY8XHLYv/Q9f/HwhL7MVYSUfhhdfyDD/oOZID88TOJC58Cl79nMxCPB4P9Wv6/fyT/z/1tmA11GIvJY3X/P6DfswhfcI7qCEYSa9bV5IgaT8heqSClVPlQ6239O32OSEb2LGTDDMGTiHfiNtVw8GNa1IRKVeO8a0H6qMJpx56Q1OJgfeCSSGq0oWD3phM/IveDRaVl9DRajxejwlzJZTI50K09G53pokObwlaq++fUeKRXi/dR7LNDvTuCaCSom9rxsKVpKqtAm2PGHiOx5Y/UbuGfePVh3fJ2qJs0/MB9lJk5blZALeodKDlWPqCoDTu2yHVuUOrpnIVBRpD59SDI9VxEpJe1XOl7puPWcvhch+GkRE+uQmbivqJ9Q0PFiYNT3wMXveBellM6ZlMzoFC1QSt9Te04Hcu4Hdb2whslTykulRAun7zFJCP+sM4lKML9BwYgI8q/WygjiiTUTVtYdKMA/u07heFH4BR9f+IqCqjIFngbFRCdaqtRY6ojY9JS+R2TYhSfhK6XViai9096MzuXeGM36Bd9g8hXqeQNQu1VQF1WnCnx2TGYT3l/3Pv6/vfsAk6SsFv9/OkxPDpvYwCY2AcPCAruz5LRwlyUYAFFAohiQIepVCV4JKmD4Y2L0Xn9eQZCgXEVFEBQERREYQFEY0hIkb57d2cnT3f/nre7qqe7pXNUVur6f55mdne7qqrdDdVedPue8T69PBKNe3vJyUYG9e1+7t7ix+zAo9Wbfm+NX/PITIr84O9Erquc3In+4QuT3XxR5/ZHyN5bjZEvve6a/XgsfPXr9awvAAsYsm6mLK7ed1h1FZi8vMBYXnvqnfaZkeU9RvaWUtGCbzUGpbIF6KzKl4nmWifvr/dOFr0zvYPa96jKjpU6mNlVH8CDmszeyigWWHLqtl1S6nKzSXlmfaELthi/sn35jS97rVaN0J3tioXj6DHx6P6nGmkYJageaOYJSxmBOICgqt2o0uWxbtoNv1atETaPdcbY938IX+WKfUL4nIjeNvSfd68YnhNk0VLiMtfvdbi0Iw0yyRQSltiazpl77U6JnlPLuMyLP313+xnJMEz8+855etpfrNKLCz5vHP3fgM8aAxmGXOTmS3PumE1mHWTOlsryn7HeeyAe6RA682LBcOUGpoLXvOWU9ZoESxhkXPyEoZQKz71UXVbbyozPKDzDOm2JiVgeLcbwGu3j+pRZwzz738jprAmRwzwx820eTM++pLKk8L5S0GfgCQdkSSJzE1EtAarO9SFXPiSOuENn7dHHTTtOcpXzv0VjiMVg5I5HRVUxfqbf7Ez2T5rZkD46UQ5UQei6I3vuGyFM3iYz0y5ah8aD1W32G8j1jD6moRRmfOcr30mbec0XWBUFLeI1bX7MOjsv4PhLI8Xk3Y2l6xpkVM9+VxKKglN4vKp9AIO/7cLVy+tMELuGxwzRX9lPpmD/Z0rHAGqaydU3tGf7Yq9x6eJWLsXl9KeNXJ7NX/uY5+fJve8o+sfXa+TCsy5TS+knlOchsTMuUCkhv8v1jUrZ+UvkOyO34tjvPyUBmppSaqa1fEs1aD5l9iPZ702DhTKn+kUTZY0ukxZIhr+tfJ2f//my58bkbxe1UPzLV1Fxz55kiT94o8ugNacG89QPrZTgzAKVm27MqSJQrKJXKlCry9cabHpB+POh0H7Ri3iPO+l0iM8mMSfNEpu2Sv2G5/j5jV9aT1ZlS5cic/TBfr6q4v94/CUpB47lvD12mPhKSD6+Y4/QwUEFmjiOcPgZBbrlmXszUOzAqT/17izzx2mbZPjyx+WQxq+kbLmIad1RVT6ntIxmZUqoJdcHyvZD0JjOlWrP1k3L8W+3ie0ppMwjG41IXqpPZzbO1y1RwpdAxh55hpsoerfDK1le0IM5LW14St/vxsz+WT/3hU/Jq76vjsy+998+0oJT6wuTtvrezzLY3/tw8GxiTn4WGJFrOFyQ5Zn1KPK+B8Rkj9ZMnPuSA3NLe7xzeVw68KBHA7vh47mUiDYllzNj5GJHj/yfReH2XY0UO+kyWhYos38umnPccU5lHFp0nZz6uWT8LA8nrmH0PPlTsiRmyu+jwxVpgCtXFTKx2yXQ1/Tvc5qiMmRDVO58KNBWS7aVgPLEu5rVSaHY/O2bXgz30LJa+0USmVHMk+X7wzO15M4wG9fI9PVPKTf0/xjdedKbUJvU7HpMpY6MyOXmdyiLTG8DnMqHs0aTB0cHUbIhu98a2N7SgU9oMe7FoqnwvnPymPe36LCdzPw0PyS9Dw7I2UMaJTTKoKlMWjl82e4X0z95LpHGqNBXd6LzCOHaF5zicBDBtZ5GP3S+y92n5lzOWypnROEXkkM+JTN154nX6gVMlA1HpG3TkphO/PDCoqZ+4TIBMKQBlmjPZPf2kYJ1FO4yfEBXbcPfGszrk6x/aQxZMM94WbnHcXjtKJDz+0TcWi8mjr+QuJ8qX0WGcsc+KmfH+0LPO9DrgzvK9VFAqh8xG572pmfdKLN+z490mzwmE3lNqm54plcz4mrz+JYn8/kvSXNNcVF+pVIaZXvZoUv9Yv2eCUnpAM2rMVoqNpR6zXSfvOrHZeZbnRs9WGylnEHppoJpmXtc0Q/rVzF7B8MRMqZyvO3+dVAEF9wM3BBpK6WtUivpJedZXbOApz3KTdkrMNrvzUVKWHBmgRbHqozWYkSml+kKqMscDLswSlKKnFACPB6UIgljjo/vOS/2/1hDIyGdqU63sOjO9Dwpf5rpHMBiQXWeOBwhufyLLiZ0Ud/xo7DnGc4xs5Xt6RlChjB89w0hrJB0cL9+blKt8z/EG09lNS453Q3L8WqaUSrhRl294QSZv35AWYLErU2pgdGBioMftQSlD6cZQdEQGxhL3YY9pe4gM98mb/7pdZNAwY6d6EzK8EY2YCQglG/WnnUAFAqnX84RG55lvgLwhAqUFoppniquU+hnzkVtETvjfEteXJVMq33aDwcRss4deUl5wz3ibo75e2m2t+sxV98Govi1R5rj0eMO2aHSOEnV1dUl7e7t0dJQ/YxsAZ3x+TZZU4gx1hkDUxf+xpOxtMa25uxiPS6Kx4g5seAZRTqZUsRk/eubJgJ4plTxYb8tZvlfE4dvyM6Uycu8z0w1BKdXLaJMkM6WS92NK79si294t2Ozc6qCUHkwZjY96JihlzOraIolxq95ci9oWiWx7R97a/o7IYz/IuLUhKGXmTUsPShlLTQKBVHBPb8zv3BujC7JNgGLlCi6c/Yfx/+/+oeLWddhlIjN2F8uZDSy3zRUJ1+a+Plt/pFT5XsD+52HuPiXe2DDGw78k8r7vWDasiZsKJn4TlEKxOjs7paenR7q7u8XrOOGqMjyhBR20eJpt2XALplnTrNctjt97R9/0o4sXednvnn2PCSOQMpw8qd82sk37rZet5aKf5Gun/KqnVDLDKHemVBG9pnZozz/IcvfdPAfKKvhUIwFR4ZRNEpfNyYwpLVNK/z02JJuGNuWdfU6ffc+y8r1kUMoLmVIj0UTB3WhsPIC2Ofn/yXWTZU7znFTgb/Cl+8ZvmPH+YypTamjrxKa8gWDycQwYMqX0MqAcr6WKvydW9+cPqpCxdK7cZuK2zLKapcRvzbX5M4zyfVmi96kr9FlSdEZSGe8t+56T+G3MSirnMV90uMisPUtfx/SlpW0rTlAKgNdxbuwqy+dNkuktdVKNvba8qMjkKI0eaDLe5LQfPS73Pfte2nLvbR2SJ/9tKKWBr6Vm39MzfiIllO9pmVIx85lSuRxwgUjDZJEDLy7v9nkCDUEJyA7J+7IuEJPNyeCa3uR8SvKwM19QSj12seT9t2r2Pb30zUs9pYxj3STRVFBK9SfTe429ZWxi/vTNqddFTOJaYNA040lzPJ4ISgWMmVK5To4JFgHjDO+ZrXNEdjpYZNf3pe8/+d7Tdz+xssNLDCDjzyzjUWMvNsMo871hNEtQKtu2KlmavuBQkdPuEtn/gtJva8W4QmH7tuVB/rzXAGAjlU20apcdpFoYyxGr/dQjniOo1fXQ2gmXX313j/QNlVceNBr11zdiuajMoq93f1263+uujvK9IoNSxkbnoxJPzV6Xs9F5MXtergPbpSeInPpLkUnzpTz5o7p6CZ8WlEqV7wXTglObNq9NBFGiE0Mn+mNWG6qVSDBjpqIy6WVnWqDnr98RefoWc01vK0RliekZUmNxY/lessdYXaKR8Kx4Iovh3WQmWuZzXlZz82yMPaVUBpveU2pCo3Ob8cUbvGRaYnKCVLBm9ZdFDv7PxN97flRkyqJE8+5jrk808s60/3npf6/8ZIUHXGDfVqVr7R+YOHNcvtu0zp542aRk31Y7M+7VFzJlbc/GMQb8Wb5XZMgOgKdUe6QAjjI2+PameMV2qR//5XW58IjFRQeirvzNc9I+q0XWrk+ciPvdM+ufkafWPaXNWtcxw7v9GvVsl1QZWsFG55LKlNqafH2qA7QmM5lS+Q68zZwEFDhQnpEMSqksnq2ZmVLJ6za/9pDI6JMiNQ0TeqnofbisypJS9GDKmPr97C8TFz79E5G9zyg8NboDpXuZpYZ6GaQelNohHpQeEdmYfHwnrMeq92hDT6m4CkolZzFMle8VzJgCII1TRE75uUgky3vaPp9M/Chqdkv18z+H5F+f6in1sftEfrymgj2lsnzG1CbL0FXpmvqpa018uaD3uMoblNpR5P3fTczQpz4XX/mjoe9hkRljRna3S7AkAB8oMSgVFz8hKAWg6kvnHnx+fVm3LdQvqdgm2dURyPGnfMcE2Z7+N7ckMjJyGYvG5JG1G2X3HVvluXe2yT/f2qr9uIXTx0B6MGfj4EbxMlWCpgIMI7GRooJSeqbUkNYcPJEp0xpXxXClBqWMywcceZHomVLPBxNBFdVjqllvdK5nSgXUO2JcAltey5kpVagPVznleyoTSZW2qUdWoqMi3T9yVVBKf/1nzr6nZ0pNqZui/Z6WfDzXJy/PfMqty5Qa7yszGo8lSwoDWTKlmH0PyKt5ukUrSu5bmVlKZs3ZR+SZOxJfFGR+xiw7WWTG0sRMcUYqqK/6JKnrijFz2fj/d8jIHsv2fzexdVyB3M3hqxjlewCq2qcOXiifOHiBfO7IwrPtleq5d9wTTLCT8ZzUrccP+bxv2aySb5PtNPycW54qeT2//sc7cv3vX9JuOzLmr9TsUsretgxtSWv07MX7oQdXghKU+nDyBCJHyZwelFLeiQ4mFjWe6K/64vi31MXueJXaN5PZX4WCUv9O9jtSWVJ6cG1S8rBTBd8Gc+xYqUypbFkFJsv3FFce5sdiIptekRFD35VsPaWMmVLKxpzle9ZnSm1PBsyCgYDUOd77hC95AEvtuLfIcf8tcsodE/dtVVI4/8DsPZJUjyn9vbrc94O02wVc+h5gwQdqsQfMAX9mShGUAlDV6iMhef+yWXLwktJm2yuGzz4vqsbCacU3at8+nDgxfOHdxCxqhRQ65Hj6jUQz9OGxmGwf9m7QpdLlSyqLZvPgZvHy7Hup/js1jQWzLsOiTvQTy/xraIP2e7Jx5j3VoPX93xv/u6iD/wpFpVT5RRHle/rbo/F+qPvYpDc71wIq8YpnSqngjh7sVI+JK/e6P39D5P8+JsPP/ix1kTEoq2dKTQ43igxslqnJx3R9ZlAq+ZyPWPXUB8cLKvqTWX8NIfUsFlu2V+EPSS9+KwK4lcpeUiV5mfuWccbAiuyPZZTv2c2S95pSg1Ix8ROXPvPe0NXVJe3t7dLR4d2+FwDKR0yq+p3x4ydSQSSrXzOq/xSyz1rn9RI+LVNqpLgm57qGZGnbo32Jkrb9YjXpB6mlljhU6uB+3gEiKz+RFrAwmqrlho2bnHEgrveV2qQCLVki+8ZgnpWle7oxN75zv3iv9mvkX7+YkCmlyg179ayz335W5JbjUplSKrCnrs80bNV9NLyGBt54VPvdGKorsYwUgOekzYhXZFCq3P3eE+V7NoZMAnr5HkEpFKmzs1N6enqku9vbswShCrnwmLsaxUmVQhaDI1G5/vcvyuOvTpz2fu06GpoX2+jZ00GpsaGSgyt6CZ+KTamgwz4xY9AnUNy3yXYc0AeDInudKrL6K1mvVj2k9EweYxAqM0i1OUeTbtXkvpRgXtGle2pzgYBMnO/PGhsGNsi9r96bFlgt1bChR5QelNomca14T4X62kYGU4+hOk1US2zO8oE/auVzndSfLN9r1EtRnWx0zmcv4L4gjBWZUq59D2D2vUojKAXAN/ZflGgSa5V5U6zreeIlxkOBnI2Yq8i3/vBSScda//fUm/LQixvkK/c8P+G6wVFXdrRxZaPnDYOJMjYvUvdDL0Mr1ORc15DasQJyTDQiobQgVCDjgD/jBbnr+xK/V3xs/DLVyFunZkc6OdkrxCrz9hM5ZbzcLFtfKWNz89TfMb3ZefYDbj2YV+zjVlRQSp3AbH5FZOubFespdedLd8pPen4if3n7L5YEpfRG53rwrrW2NfWaUI3a9WDfhiyPo2U9pQwnptuT40jPlMqYhc/2E8fq//yBD+37aZdlShVbdlbmRBueyJSyMygVSPwmKAWgFNcen5wKFa7XFLF2wtGpTeNNYOEdpR5a/PGF9fLk64leUMXY1G/Z3Fe+Uy1BKZUtowelis2U0mc0awrXy6GxSJaD1DyZUgd9VuSMuxMNaXXJ4I5GNaltmSmWa56R9WDdGJSanHGoOTkZp9ikAieqxHHDS2nBi77RPkuDUlqQSwWmVOZRdLRi5XubhxI90NYNrCt7HcZgUjSWCEr1JVK8pCXSkrbsDhlBqX8ERqU32YfKsp5ShrKdgeTYGoyZUm7t/wJ42bKTRHY/0dkxlNV83OrtVplSG537jD/vNWCRYEBk6Y7JpoBAHlQbeNufXio+QMJzbU1QatPgxPJHL/WU6k/OUldsGdq0ZJBh9dQ9U03Piz5oVQe7delBi4wFxE5pQamMTKlJyb+3qmDKa38W+eUnRN54bGKmlFXle5k9pTIfijFrgsh62aGZ162xF5Te6Hw0eVlNxnM+1RCUeiYwJtdGhuR/NnVXLFOqP5kp1RSqdX9WAwALM6XsDBe49D3FiccgTqYUfEhN8QvYYcc2Yz8Ke5X6Mo8RXahOvN15Iijl5Z5SKqCwbWRbSRk/H4rWSudYvXxo5kHWlDgkM20qf3CbJVPKcHiZNougSq5KLp/IAEpSwamkVIN4qzKlVHBwYHwmxwk9pf5pTVmjnhmnZ0yVwxge03tK6UG08Pb0DKwdko/jeonLU8FR7TnelAwcWZaraQxKTd9N+90YMzxvjdMKvB6ZfQ8oS3J/c4xT2TrVuE/Xt41PElKMYDJD1WfnINbWssCzwiFn3wQ+vGK2o9uvNm59Gzt/1SJZudNkx7Zf6vv71sFRmdpk+FbYIpcetYtc+7sXLF8v3KEaj6mcCkrF4jEJWnRwrMqhxuJjUmvM9KigTUObSirfa5WgHKzK9nLMapemmNmQjIEom79xnZEMRKl/2zKCVk3JTCm9R5HGkOVlLHvUAzNm9L/TnSjfS5pQvrf5VbGCHkzTn/eiqL5fmxOzLWZmSqnXalqmVCyWNbNOZUptSZbwDSaXzTr73sxlIu8+U8I9Sp4cqbLQt7qlv+95kbcfkQbj/hjJ8drmTRAwZ8GhIod/SWTqEu/0lLJ6u/nYHbAx8xh86EaR9c+LzN2v2I2JJtlX0C8ISsFxvznvAAl49QDGq+N2yOrdZoiXREIkk1bjrIOVbM7+wnt9MsvBbMBqCkpp2UbD26StLvkto0lX/u1KWde/Tm44/AaJhCrfD04v4yo54yfXQfmwYebGuiLKxo0BHZuDUnPiQTkgVqOV8amm3EZN2TKlkkE29d6SahAfaZLeoV7TYxnc8u+0vyeEuSx4P1OvVVWyqWdKqftR1HHNH78s8uqfUn8OB7JkSiX/DmfM6qcHpV4NRlPBqKHk76w9pabtUnpQSr0WVcBw0eGy5fHHtYtaAtlOHexudO7tzyCgIPX+sehw//WUcmsqu5kvxxomi8w/oPRtjY0fD/kBZ1xw/C3AswEp+B6HxSK1NXyMwDoj0fTCI6uanauMq5e3vCxbR7aaKq8qhV5+WGym1ITU/UyT5iWyqBqnioQjpQWlLMg4KoUKRF0w1iAfiRpmaktqTmZKqR5FsdS7aDLDJzqcCsZYUr639kHpf+fJAkGpEgJ2r/9F5JmJMw7q/cO09cfGUqWbBRkCUrkanetzKNZsejVro3M9IKUMJQ+n9Owq81O8J26jgmyvbk1sf/4Oe2ZZLvM4zq7jOo4fgYpIKxe38TjPteeEDmWLresRv+BsAhU1d3KD00MA3P9Z5wHXf3hZ6v/qdOeyo3eV6S118l/HtovX8Dpwf6aUXmJnVV8p1Tw7njxRt6IkrJQG26U37M7xAq2pFznjNyInF9kDaeGq8f+Ha12zQ+mzDKpnQz0riT8Sv/UsqXAwbE2Z5cPXphp066KZAZtSglL3Xy7y2PcTpRgG+oyB2v3o3ySb304PhOUMcGUwfi+eWb6XmZ80SQITLlNBLRXoy9pTykRQSu2HqpF7OBCWuYvWiBxxhciHf1L6+gB4g/F9Xe+JVCnGjEq3zjxnawljYPz/G/zT6sOlz7w3dHV1SXt7u3R0dDg9FNd637IKTEENuITHq9hKMnfKeIB5UkNE9ls4RX50xgpZMr3Z0XGhOoNSs5pmWRqU0vv9KFGb+zSUnCmVj+rhE6opflk7glIlqpFAanbB7RkBou1r/yCy5XVpkrA1WdTxmAxkbKPs8j1j4/jBLWlX6TMGag3VBzbK5gf+a2LvqMxZ/p788YRNGDOlMsv3arJko03JaCKvDKWtp8Tm+JmSJ4h6ltTs5tlSo7L0VMBz0nzDYIrocWYlP334Ak455nqR/7g6kZ1rG7d+a+hQplTAP6Ea/9zTCujs7JSenh7p7k5MwQv/cetbJ9x3HGvcdNyjfZguOWoX+UjHHFk2u4h+NvAkPZvI6aDUjk07Wlq+l8pkMZRF2aW5ptn5b2Sn7Spu0pIs4evLyGLq/9sNWh+Npq1vWbMhLSiVTp/NzrBQceu679KcJwqpoOfYoPZrs/F+qQblPz1B5JYPpge2shxBDBtuNz77Xly7XU3yMctWwqeCfPqIVF+p4WyvpXICR8nb6EGphW0Lsy+39EMirbNF9j49110D4DWzl4ssOMTebRb9+eehRudmthXwz5spjc4BoGxeDC+V74BFU7Uf5OevV4V1tNnxkifis5tmVyxTSi+Lcm+mlIUHoSfeJIPvvizN0ytZZlv6eFWz8/VpmVLJ8r1kUKbJqp0oHk+V76lRxrPNvlds+d6biUbf2e6zKm0zrmtTcja8VKBqaGvi/+ueFfnLt0X2+HDWTaSV7yX3hURPqbhkCylNTQaldouF5PlgVMsKUzPvjaSCW2X0hWmaLrJ9XdptXul9Rfu9oHVB9tuoZugn3Vrc+gHAa7PvOZUp5SP+vNeARTj59Ba3fOHQPnN8+nOvcMtjZ4VK35WHXlCn2zAz856eKWVZUCrZq8juTCnVF6mm2HK7Suxsk3eS6I4rpaLKGG9TMutHD0KlekolP1UbAyU+Znno5Xv6Nssq31PZTkYZWUep11dyXZuNQSlj0OvR74lsflXk4euybiZ/+d7Ex/nAWI2WLXV0tFbqkvdvMKDWY1Gz4kBIa3L+2tbX8gelcmL2PcBS1XQwlvU+ufT+2fq4B3L8v7qRKQUAZSr3i5q6Gpv7b1jAPx+LcDooFZSgzGycaWlQKpXJYnNPqfL6SXltbyt9vM3J2/TpwYV//kzk7SdTQanmoHVBKT1TqlWC0ifR0mff++NXRd7718QTlPeeFRnqFZl/oPSv7xEZ6pMGCWrlgpuNQRPj+kcT5X25GDOl9Nep3ug82yOyNB6W740mykPrDeV7qeBWOUGpWXuJvHRf6jaqhFYF3VTz+TnNc9z1Gq7GE3TAb9Ianbu0fI9MqYojKAWNJQ1FfYhHzVuc7Cnl9ddKNb1HVNN9qaZ9RA9KRUIRaa1rTTWQVplNIZONlFONqG2cfU9pqil15j1/aMrWU2rTK7I9lMyUMhmUUj2Qnt34rBwlcRlMnrxofawCZZTvvfz7iZe9/bTI33+a+P/Jd0jf878SCQzKvFhYng8mM6VGhxIlf1MWZV9vlvehVNldPD4hU6rQAbvePF4FpUbHN2LYXoF9aPmZIjvuLbL17bSglF66N695XulZfwBQCrcen9kZKAoEfZkVSlAKqEI7NNfK9JZaWbfN+L0rUD6XHiagioxER1Ilbw3h8dkeB8YGpDnSXL2ZUvt1ivyty1c7m+oplXX2vVSmVMTU+n/a81N5btNzEgmOz3jXktzmxJBkGQf9ekBK6d8g21WfsoDI3HhQntd6SsUl/udvSkDNJjh1yfiyhRqdq38Gtoj0r5extnnaZaPJQFW2RudGtcmg21DAENzKzJRSP7mCcA2TRWYuSwSldMFgqsn5grZSS/eYJQ+wXPJ9wfeq+b0l4M9MKX/ea6DKqUyQrx63u9PDcB23fgEDe/EyyM3Jw7yh6FAqKKVKhdTvzCwnr/WUKipTavaKjAsCIjV6MVZ1as41+17y74ZyMqXGhhNldrFY6jXzSCiRM1QrgVTPpQmz7xXb6Nx4E4nLz0JD8rAKegWC0p/cc+bGQ6lspcG1yQyrjS8VvS3VpFwFpLRxbntb285orm+Ra8YDt0pdttn3Mhud53td5Rib3k9qp9adxDWq+YQUyOaE/xVZ/RWRaYYgd3OizF1aZjk2LN/gBKLiyJSChn0NqCyvH0LzHgHbMqXCiWBUQ02DVtKnMqXMMmZK2Tn7XmOkscxvST20w5XT6DxHppTeCykSKOPw9L5LRd5+SmTlJ2U0lgjlrA0kApAN8UDqgHdi+V7p784bJC6/DA1rzccPFpFtyWDa1HhAK01UDdzVDHwNySDV+Lai+cv30sYWl2i+RucqwDQ6kLV8L3tPqYBIuE5kJEeQN8vjYK7JuR08tJ8AZkxdlPgxOub/E/nnHSLLTnZqVP5h50FwwJAzpN6zfYJMKaBKT9RdPDTP4MvYcfRh8odozLkX/dDYeKaU0hhOBHQGDCfeVmRKxcrIjClXc00RZYdN0ydeVk4wqwoypfRnpqweYiogpTz/m1RQSqdyivSg1IQ8uTJeD8PJcasm5JtG+lKZUirYNil5aJ3W7FzXn79xvyq9Gx9XIiClB9FqCpR46Jlgw9rse/HsmVLBfMG+iePdMrxF23fU5AOzm2bnHXux6wRgkdYdRQ76rDszparumNHG+xM2lK/XtYlfEJQCgDJxuI1qozIjnM6UUo3O9Uwpq8r3+g3ZIXaW7xXsKaUCBeH6iQfza64Vz8jVyDuP5uThZ2amlB4eCuonAJtf0xqgq75NRet7T8Yylm/UMqVy9JQq4zVvfAW9p2anSwapVJbUlGRwSGt2XsJJjirVS8+USoxVD69NCNNlBJj079NVY/eRQJbAlQr05etVkuVxeLPvTe33zKaZpTU5r7oTUgC+Zvd72rSdfXemQVAKFcaBiVPqI+ZmqwKqFedLuUXtSyLKOfteXaguLaBjRabUtpFtjpTvNUUK9JRSswxOeEEGRKYuFtn/fPGEI64U2eXYsmbf04M5Ov2ZCerBk8e6RNQsdMa+TEUY3fBi2rF8gwRSQZ2SZ9/LwriOt/rf1UrmlCYJyuR4YuyqfK+0dY4H5ZIDk6jEc5fvZWZKFSzfU5lSocJBKcNt3up7S/tdXpaUDXgzB3zK7mBNwJntxQlKASjCvMnpjUbdpLmOqZsrzUefFfCJaMy5qNRwbDg9Uyo5A1//mLlMqbHYWKqJemamlBUBr3z0EsSSTqy9dqLdtIPIIZ8r7SbJA27V2FuVwOliyf+H9ANyFZAqw2jGQ9goxp5SYjooZcyUernv39pvtUn1ip2cHPvmlhklrXMk83QkHktkSqVm35Pcr5PJC1LlewOB8UDWhPK9vLM6TSz5e6PvDe33nJY5Jd2X8VXyIQn4iv6+NGsvqSp2fy4H9KCUg98U2oyglAldXV3S3t4uHR0d4nVOHQJ/uKPMAx0XOHzXHeSyo3d1ehhwkCq38JJdZhTR3wa+dviuWfob2Vy+Z3WmVGb5XzTZbPrJ956Uj93/MbnvtfvEsUyprDwWlCpDg+EAdFtaUErSg1KZj8X2DSIv/k5kzBjCyZXJFJcdkllLqtG5nmk0McxV+vu4cR0vb38zVSKoyg71fln9xqbmRdBm3ks+Lmq2QH07OWffS2uGWyuJTmwifcb7k5kplc+OyydcpGdKzWme47LXsLc+ewHfOP03IifeJDJloVQXu4NSQfEb/91jC3V2dkpPT490d3c7PRTP8vJJ8kVHLJEdWvwzKwK8733LXNgME64ys63O8UbneqaUHpQy21PKOPOenjmlvL7tdS2wrH5bqSY4nqXaVFNOUCpp8epEw/OFh0m1CUhilrrMEr5Y8rg/mOtb6f87S+Th60SeujHnutVzqj3D8ZgcGU28lnaOhySU3MxYRslg3m+ic2T6GINS64c2p2V/lXvSkZp5UGV1GcY63ug8T/leKCL1yev1mQCTCxn+G8p+X1tnZz2JVFlrri/f80EAF/CUuhaRyTuVdptyJvaoba7yIFHAd5lSZcy5C1iHwwn4UYySBrg4WOB4plRyCmS90fnA2IBlM+8ZM6X04JTVVKaXPvtbwUbn2egBGXVwr751LmcmOg9oloCWJWVsdp7qKaW/DjODU8PJAOM/bhPp+IRIcOKJQupZ3fa2rIpF5PCRRMDm3uBw6Y3OtyaCMhO3MfE2E4NSBfaljPumZs1Tag2rzpspZXxdhOtSPaW25suUytbkX53cGU8i5x8gUtMgG6ctlqHoOgkHwzKjsbRSRAAo2ozdRZYeL9JaQkbmvp0iA5tF2j8g1Vm+J74LSpEpBcByp+03z+khuI/hxIegFDCR3vcplSkVrkymlN5TSg9OWa02XGtd+V4o7J0eUwdckMi6KZKeKdVnzJQqVL5nlGyMn0kP4sjooKicNT2DSJ99b8Kznu918MZjWS8eSxvW+Mx7aba/J3mtey5r+Z4q3TPOFJi70bkxKBVJ9ZTKnSkVyB7gzMwAUEGqM34jb3acrv25Y+OOWmCqJJV+zfIZClQP9X5xwIWJwFSxGqeIvO/bNmYSU75Xaf67x7CVV46lYa1JDYmTympX7nGxakI/qdH+x4jDeLiZnilVG0oEdepr6i3pKbV9xN5MqeZIs5Yt1RJpkfpw4j744mB06QkiH76l6MX1zKLt2Rqd6wcPgdLfgI2N040hmPFG5xm3y/c6yJKJpUSzjKPk8r0MepcsrXzPMFb9/kyYuiSjfK8uy/1PPwiLi8zbP/HfZDZicqGJgwnVyJvbk6V7zW4t3QOAaj2hDfguU4ryPWgIHsFKQV5PBZ21/3y5/g+lTXPulAMXT5Vq4mSJGnIbTma+ZPaUMh2Uyijf04NRlQpKqaDaVw78itZbKujVAJMNmpNNyLNlSo0/ann2VePBuiFANWY4wE2VAaYFpTLka5puzEYy3iQtsJUjU6pE45lS418gRA0zCep9psbHZnhtBUKp8r30ZQyXqdt3fFykfpLIvANEfn563oe4/CbnRnwVAqAaODT7nvjnPZSgFBzl9mBYW0ON9A6kigHg8ec14NaB2aTce5/KWgBsCErVBmvTy/fG+j3VU6qkE/ls+5ZP9jfVUyozU0rPQNKCSbGYSP+GLClCGUGpkQGRX34idfF4D6b0x9FYEpcmmaGXVY5+XmnrSJaDms2U0ntKReKBVHlgonyviEbnwXCqfC9jIcP/49osfbLnKXmWGfdG3xsmglLMvgegijjW6DwufsFXeEAeN39spdND8KSakDvfWuI+enOH5J2dC9k5GQ9JBaWSPZmsmn1vQvleMogwFq9cUMocfwSlGvMEpbSeUj2/Sr/BX76V/rceVHz592kNyUeTmVc1Gbt5KFf53lj23lT5MqWiWcbRbDJTSp99r9bwjbEqxRvvKZUZiDL+X2VKSYFMqXjRJ1tqH3ln+zvmy/cq/ZnrkwAuAIfN3bf8mQLLEdDfl/1zvEqmFJCH3zNryuWX8ihiXIB1hpPBAb2nlD773uDYoMTisbJL4fpGE43Om2uatf/rwSg9OOU6Xv7cKWHsehCnLxCb2OhcPdcq2GT03K+yvwFn9NzImSkVz9akvEDPjqbpWS/WA1tt8YD0JsehB9nKpYfGVKPzQbXOwHj2VOr+qMytaHK8aQGqHOV7xYwpy3O2YXCDNoOkKkHdoWGHku8LAFSVWXuKHP9DkeaZ9mwvQKYUAFTteRZBRvgpaFoOJ49/UplSelAqnAhKme0rpWdKtda2pmdKVbB8zxx/le/1ZWl0XtTBaWrWvPQXba7G4DnL98r4XNDXMSeuMqnilmZKRQyzDw4a7tuETCljFlcgqN0uUKh8L6tAzhkrJ9VOcmdfNB+dqAFwiWk7i9S12LSxgO/e61z4SYNqUugQbc6k8ZMOwGtlXpPNzKDnj/NOoOzZ92pCNRIJJvaxgTHzQam22rb0nlKuLd/zsBICPHpj8O2BHD2lCtEz3TIO2tPK3YqZfa/YZurGbSRvMiUelNrk6sz3lEqsSPWG0sc6ZBhrOEsgavz/KowV0LKs0hj/rEu8/ifIEnTSS2YbTZeq+OeECgAsE6DROWCrHVqydkEAXN9T6vNrdpYZrf54/ZJgBicypfS+UiPDI6YypfTyPT1TSs+Qckf5nn8bnetBnH5jT6lACZMrpDKlJGum1MRG5wklhSJzBaUM2Vjvq5kmawf7ZZ6WNWW+fC8ihqBUMlAV1AN1xsbrGY3Olfp4IHWb5EIiO68RiYVFZncUPRY9U6qppqm8O+OT1zAAVEZA/IagFADLZTseraYM1Jb6sBy0eJp4DecJsPM1ovpADY0NaRlPqjdNOUEp1Vdqy/AWUzPw5cyUcm35nr8OQI2hJf1jQi9fyytHUDF3plRinaWFIrN/cEUN9+HEzRu0jlJmGRud6zPtDSWvS828ZwxKZfl/1q9J2j8oMm33knZ6PVOq7KAUAAAloHwPmpa6wicMgNe5qaeUe0YCVMYlf75Ezrr/LHl+0/NFZTHmypRSys2UUiWBI7FEWWBbsnzJ9bPvubGHTwWEkuV7xsbjqfI99RgU+iZDz5TKWG40ub6ajB5POcv38n0uxAsFpax7JzdmSunhJr2nVGomwUD+TKkJ5Xtlvt707MKmiMmgFLPvAQCK4I8jHxS0eHqz00MAfKWKEseArOrCdanZ8wpRWUt6D7fasCFTKtnsXM/cKJVehhQKhFIBLldmSq04S/xGD68YC+SiqUbnRQQbHv6ayFtPirz5WI7yPSmyfK+MnlLJbZgr2Es3kiy7Uz2q9LEOBjLuS67yvVAkVb6XrpigTZZMqRGzmVIEiwAAxSMohYoy1QganpV1YmoPHqPm+pLXb7O3VVPpJexTH64vOstpKKoXKkmqublevmcmKJVq2FzTmCohdGVQatER3n6zNHEAqgeiVFBSDwEV1VNqwwsi93w2EZgqpnwvS2ZWYdnf/MYq0ANDz5RS2U76WFOZUvpnTq5MqVBN9vK9fPd1zj6J30tPmHDV9tFEyaseyHUfPpQAoJrQUwoVtXzeJKeHAKTMncxsj4Bd9IBSMZlSeuleOBiWkCEbJFW+V+bse/q2VdaWypZKK99zQ1Aqa/Al4LueUiogZQwzFNVTKofR5O9UICe1zhLL9958QuT+ywsEpaws30uMK2IYqx6qLZgplSzfqytlPGuuExnYKNK0Q86glPt7SvljXwGAakdQCr7p4QMctXSGDI5EZdmcHFNjFyn99KnY26Tz0p5Rdbtxtd0fl2dKlRKUqgul53ro5Xvl9pTSA08q+0oPdumZUvpv170oq26HK5yqr94fjc9GUeV7OehBp8wDXD1zaiz5Hl4w4/Xez+W8KposqwtZmLAz3ug8kBqrPpNewUbnyfK92lLK94LBrAEp4+QAZfeU8slrGABgDYJSJnR1dWk/0aibDmwB5BIOBeXDHXOcHgacRuWHa4NSkeTJtWWNzpNNztV69UwpPVClZ0y5jz9O6I3ZUNHMoJSJZu+5Gp1nbs/MAXBFyveSw4uonlLJoM5QqnxPiirfS+xx5nknUwoAUA3oKWVCZ2en9PT0SHd3t9NDAVABwSr7ttdvvbDgnaCUmiUvc+Y9Y1Cq3J5S+npVUEqVBhozpEbjeqEXnGBsEq6ekZhl5XsZgZwsAaS0ws0y3ufHLBhnvkyp8dn3ktuJZyvfCxVRvlfe+ExnSlUajQ4BoKqQKQXAcpHwxHi3F8MhcyZb9b3zRJS2wjeNzovoBzU0NpQ1Uyo1+95YeUEpPQNLNTl3ZU+pVANrf5fvJfpKWd1TqsiglIUlgpY1Os9VvpczUypZvpf5uJXxMMbisVQQmNn3AAB2IFMKgOX2nlsdDe5zBY6syDiKV/Cb3mnN6dkmyMD5ki30gJKZTCmzs++NxkbHy/eSWSZjcReU7y1ZI1LbLHLElb59gaZnSsVTs/ApgdceFkkGKsvNlMpsQp65PTOPdzRH4MuKTKmIYewTy/cMh+1pgczE5fUTPlZKv29qf40l89Yo3wMAuDoo9cc//lHOPfdc2XPPPWXmzJlSV1cns2bNkr322ksuuOAC+fOf/2ztSOHpLJlslkxvrvhY4IxgMCB3n3+g9gN7XXPc7vKdk/a0dJ3+OEWG1c91fU19WhZUPkPRobzle4OjhQNb2YxGk0GpYETCgbB7MqV2XiNyxt0iM5YmL5gYYKh2qpm5fk9jhkBPUA/8b3m9rPWO5QgYBQwZSGbL96JZAl1W9ZRSzcrDyeCSXtKYCrBteCH766RlVuK2FuzBeume2hdrkr2qylaxL18o3wOAalJy5vH69evlrLPOkpdfflkOO+wwOeWUU6StrU1qampkdHRUNm/eLGvXrtWW2XvvveWHP/yhTJpUHVkTsFaQM134SCVe7nMnN8gbm9NLo3af3VqBLVUZzmdcV75XMFOqzPI9Y6NzvXm23lPK8fI9n5Tp5RM0BKTiFvVpGi/fm7geFdxRpXfpz3z5PaUys7GsKAkM5Zk5UOKx7G9kDVNE9j1X6nruEAn1i/SvN93kXA8Iuxr7EAD4LyilZpk77bTT5FOf+pQcf/zxBUtTbr31Vi049atf/crsOOEhlSxLArwqc6+gpxR80+i8iCwnvffThEyp8Pjse6rXTamzshln9TOW76l16SVKruOj9wYVgFLBGGMhpdnso7FkHyY928hIuyyQXCbfocqGF/NuYzS5jVQDcgsFsgS7UgfrTTuIbM8ScFKv7WUfkfqZO4s8clnG2soLSjXXkM0OAHBhUEplQX3ve9+TJUuWFFxWnXCdeuqpWrbU1q1bpbWVb+8BwEk+OtdFlc2+F5e4VgaoZ06VWr6nGp0by/cc7SdVkH921GCWHk9mixdzNTo3BrwKlu/ddU7ebUQrPFtQZmCuJp4c4+4nivytK3mpcdyJ/9eF61KPoMoUG824axsHN8qk2kmpAG02/SOJrMTGiBWZUhX6kpIvPwGgqpT02T9t2rSiAlJG7e3tBKQAAO7hn3N+1zQ6L5RBmytTSvW0UQGlYssAi2l0rsr39GbnruHD2feMmUbRQOJHCZqMN+iNznOV7ykFn/20Mjl7yveMwrn+1oJOWV4nydd2XagudXlEexjGl1m7Za10PtgpP/rXj/Juu2+0z3ymlG2vYf/sKwBQzUr+Qqq7u1uOO+44uf7667W/n3nmmYKlfAAA5w+l+XIZhVhZVqpnSqkAUKH+TamgVLg2Z3BLb8BcCj0DSzU6DwWSQalY1Pl+Unn550Rbz9dRIaCYVeV7eTKlxhudm5t9z9j/qRJylu/lLF81Zkolg1IZ61g3sE77/crWV/JuW5/p0hM9pQAA/gxKXXHFFXL66adrjc1Vb6k99thDpkyZUpnRwZMaIsUltHN+DADV2xMwcYIsRWU56cGjcHDi54desldMGWC+nlL6ulWQzH3le/4JRBnpTc2jhqCUmpXPivK9bFlMVs++V6nyvcx+WKmsr1xBqbRMKf022fUO9ebddt9IIlOqKdIkpvFNCACgCCV/ni5fvlzLlFKefPJJOf/880tdBarcFe9rl2898JKcdcBOTg8FAOAQ1ZRcnSQPRYe0gFJrbeFS/mCW78r0TCkz5XuqDDAtU8pt5XtGfirfM/SUCiSjKeYzpfTyvYn0QJXZkGSly/dqcv2dJWibkBhHc6RZZtRNkUj87cSjkOW1tG1km7YP5OorpWdKNdWYCUrZ9Br20b4CANWs5EypF154QSvhU1asWKGV7t11112VGBs8avH0Zvn+R5dLx/zJTg8FgAHH77CbnuVUTkDJikyptPK95Em4apquX+7OndOPjc7Hm52bbnSuZwplm30va/le6fSxVq7ReWb5XrZMKWNPqcTl6jX+zT0vkmtHG3O+itTrv3e4t+Dse+aCUgAAFK/kz37VS2rGjBmpv1etWiV//vOfS10NAPiKG6oY1EnKzjOY5hvunIGv0DoGRs01Otdn3zOW9bmSLzOlrOsplbd8L/k+PJZ2VTk9pdLXV/nZ99KDT/nUqNd66j5lv295g1LJ3m2myvcq/hp2wQcqAMC5oNScOXO0n8wZ9jJ95jOfMTcyVD03nKQDfvPNE5c5PQT4MSg1OmjJLH5l95QyZEoZL3cP/wSismUEGRudm86UKqJ8L72nVOlb1INamRlNFZ99L1mCml/hMW0Z2lIlmVL+3G8AoNqYyjweHR2VO+64Q/7+97/L1q1b0xqk3nfffakZ+gCgmvgokQE+Y+Xse2lZTibK98xkWxkzpfSeUsrQ2JC4VsCf5Xv6EWTIlkbnhm/FCjT+zle+Z+nse6GIiN7wP2PsWRud53qdFBFkKyZTyprZ9/j2EQBQ4aDUGWecIX/729+ko6NDGhuZOhYA4H4+Oud3nJksJyv6Uum9o4yNzo2Xu4fx5D3gu4NQFeSJW3Tv9YBTJMt1+isgLVNqbFhk82sik4ubnEWNdLzRudjc6DxU2htcjje7LcPZM6XUl8upRuemZt+r8GuYVHsAqCqmPk//+c9/ao3Pa2trJ1z3hS98wcyqAQCoCM5n7FNf43BPqWgyUyoY0bLAVGAqGo+6r3zP+KL0UdQ0qO52IH02vLBFjc6z9XvSM44mzL340v0i+55T1PqNt63U7HuZYx9vdG5N+V5vjuwwNVOmPjOlN8r3AADVwFTp/p577imRSLbvokSOOuooM6uGD4x/Lwpf8NGJVjFmtNY5PQTAE5lSZkoAUz2lVGmUypRJntS7LiiVxj/vlXqwJRYw9JQyeWgwllnyljVTKmMjcX3rhVkZQEs3Pt7MEsZUplSu2fdKnMkxV6aUniUVDoalNjTxC+eS8Q0AAKAIpj5Pr7vuOrn66qtl8eLFMnPmTAmFQmmNzp9++mkzqweAqrVkunOz4H3pfe1ywx/XyuZ+t5UwodpYMfuemcBWqqdUMBmUUuVPMTcGpfx58m7sKaXHT8z0lFJfduVvdC7ZM6VKCEoZb2tpT6k8B+ep2ffSekoFy+8plZEppcr2NgxuGC/dq2myvL8cAAAVCUo98MADcu2118rIyMQTGz7MAFSbHdvq5e3eQdl3wZSSb2ucCEI3uTHiSGCoY/5k+cnHVsr7vveX4m5QZe/nVXZ3LGX1Q2Om9C6zp1Q5QamR2HhPKWOmlPt6SvnzBRpMy1xK3G8z975QaV04nrgsmnlVSZlS8YoHpTLXO16+Zxh484wiekpJUZlSd629S3724s9kdtNsb5Xu+WhfAYBqZqp87ytf+Yr89re/lf7+fonFYmk/Bx98sHWjRFUKcjABj7nuhN3lwsMXy9kHFtcQtxB2AVQ7KzKlyg1sxeIxGYuNZS3fU71zXCUtaF0lbwwdHxc5/dciyaBivuCLCgnFksGesEVBqfyZUuWX7xmbnAcq9FzV5CzfM1y+cJXIjstF9vxo+o2LKPHbOrxV2z907/a/q/1+a/tbFjQ5N/JnBiAAwMag1KJFi+SII46Q+vrEAaPRL3/5SzOrRhX79KELpa2hRs5ftUjcTI0RMGpriMgR7dOlrqZS34/DDrQ58djse2Wuw5gNVRNMZkolZy8bVjOuuVUR5VeeoAKB9W2JwJQKUGVbxFC+l+opZWKTeuleruBWzvK97evKCEpZHJAyrC5z7Fm3Fa4VOfZ6kX0+WfKmVLP/vpG+iasMJLY8rX6amMI3LgCAEpg68jn55JPl9ttv1zKjsl0HZHP07jPl5o+tlHlTGsXNDlo81ekhoMqZPWxvn9Vi0UgAF8++V1Neo3O9n5SiN23WT7rpKWWjcCRnkCLV6NzQQNxMyH/UsI5gtvK9XLPv/fvRksv3ss3uZ04gT1Aq//LlRN17hyfOwHfCkhPkor0vktPaTytqHQAAON5T6sorr5T169fL2WefLdOmTUtrdP7ee++J27z66qvy2c9+Vmpra+WOO+5Iu+4b3/iG/Pvf/5aGhgatR9a3vvUt+mJVEI+t//CMW78fqN5W9z3rvvdaoBKNzlUp3mh0NNUfqthMKRWICiazj1KZUq4LShlU4+djjkDJeKPzeCqIFKjQzHt5y/eMsnzRmraNVEP2ylGPhXpsYpmNzo2PY86MuuJKQbcMbZF5LfPSLlMZhfvN2q/cYWcZShUHWwEA7ghK1dXVyfe///2sDX2/9rWvids8/vjjsmbNGnnooYfSLt+yZYs2k+CGDRskGAzKbrvtJv/85z9l2bJljo0VzqtUrwhAZ/YVVo3nrnbgcbPvsbGi0XlduC71f5Ut1RpqLSkoZQxi0VPKvbPvBS0oixsN5M9i0gNJEzKljN58LO829NuamSUwRfXbyrFvqPWP99nKsq1cQam0wFVpmVLW8c9rGADgcFDqvPPOkzPOOMOyDACVofSlL31JvvnNb8ratWtl/vz5adffddddcs0112jBMBU8UgExFUAqliopvOmmmyZcrjKn1Dq3b9+uZUqp/8+ZM6fk8aOwSLhKemUAXgyOlLk9Ti/gZKaUynKqC9VpgSS1ntba1pJm3osEE03OjZlSzL5nt3jBnlKh5DLBimZK5SjfU/74VZGFh4kM9xXYhvmG7MU812FDOeJ4WDVe4uskf6YUAABuYOoztbOzc8JlQ0NDWlAnV7Aql9dff10LGi1ZskSiUb2zwLgnnnhCW+dTTz0lixcvlptvvlmOPPJIef7556W5uVlbZsWKFTI2NvFQ495775VZs2bl3LYKRKlgl9p+U1OTrF69WlpbizvoRWlCVXmwDRRGEQP8SC+9UwEiVX4XDpZ32NFQ06AFpUrpK6VK/Ywz73mnp1SVfE4aP+9zle/FE8tEA6r5dvIyE5scST6OuQo89QyqsWRGVZqXf5/4Oezyomffq2RTe22sgYwgW9rLxNyXfJXNlAIAoHimPtG+853vyNSpU+Xqq69OXdbV1SUHHXSQvP322yWtS2Up3XLLLXLWWWdlvV6V1x1zzDFaQEo59dRTtQCUMfPpySeflH/84x8TfvIFpJS///3v8u1vf1vuvvtu+dnPfiYvv/yy/PjHPy5p/Kg+ccIIqLgqOfn0mLowsyfaxVh6NzQ2ZH4GvtHiM65SmVKGoJQnZt+rRvHsfZr0wI4qU7Ni9r1CASP98olffRYvauXse3kzpXI3Pk/euJgN5Lxmy3AFM6X4AhIAYFdQ6tZbb5Vf//rXWsmdTjUSv/zyy7NmUeWzdOlSWbRoUc7rH3zwQS0TSqfK95YvXy4PPPCAmKUCaCq4ptapzJgxQwYHyy81AAA7jts57C8PZcS5hUPWPjYqM0ovnyt19rysvalKWEeqp1TQYz2lfHRCbyzfU9lS2mXJ7KlyjJop3yt19j2xgnGc6WM2rj9r+V7ymHWiImffGyJTCgDgDqaOPhsbG+WAAw6YcLlqJr5161axyqZNm2Tbtm0yffr0tMtV8Oi1114rej333HOPlg3V09Mj3/3ud9PGu3DhQvn85z+vzSiotqVmFMxleHhYW8b4AwClOvvAnbTfH9gzfzZnLuTywUqfPHiBNNVac6qdLaBkJlOqnN5UelAqrXwvWT7o6p5S4s+eUvoSZvIYRwuV7xUz+16BoKAe+ArFK1y+py9S6sF6JNHSInXjDHqQtqKZUil8SgEACgubDRbpPaSMVJbRxo0bxSoDAwOphuRG6m/9umKo8j/1kykcDst///d/F72ea6+9Vq666qoJl/f29kqswFTCbhaNmvnuMP1xyLVeNTNO5vXFKuW5NkMf7+DgkDbWXI9LuffDi89pqYyPTWoM8YDrH7PMx8vK8ar3RX39+np3mRyS//7wLtJYG5ZfPvVGyevc3rc955izPfe18ZHsz00Bw8OJfcEN+6fX9w03O2heQ0X20RqpkehYVNZvWS8tsZasywwODWrLDAwOZB1DKBrSrt+4daP0NhU3xi19W7TbxMfGP3fGRsa0y7bLdu23oo5jrLjfqg2BWqf64irX+hpGRyUYjcqg2ncNywS2bZPGZD/N7Vt7RcrsveWGfbMpeT+GB/plNHkfIwMDEsnoFzqw+psy9uJPJL7ubzIai0lQAhJX0Zd4TMaSy0YDMYmHRWLxeOqyfIaDMS3pLBTLvrw2n11cZCTP+ob6+6Uuz7ZG9G3kWEcsuY1YjjFEp+8hoXX/1P4fj8YkkFxGzVytbqduo4Jm6iWgQjrqlRCNJo4tB/u2Sb3+Osn5mq2RmuXnytjbv5bo2Ij0be+T3ppe2d6feH1Oqp8kG0c2yqb+TanXqdoH1HX9A/2W7AuRwUHt+R4dHJThCryn1A0PSTgaleH+8deYV3ntsxPwCyf3zfqRYQlFozLUv13GPP4eV2zyjqmjnqOPPlrrH6VK9VSmkfLqq6/KD37wAzn22GPFKqoRuaIO9IzU3/p1drr00kvlM5/5TNqDrWbra2trk5aW7AfcXhAKWXMQrB6HXOsNh4MTrjez7krQx1tfX6dtL9fjYsdY3PKclsr42OhjCAUDrn/MMh8vK8dbX78ltX7jettMPFdNzU05x5x5eedhC2X5oplplxW7TfXFQzGPhdufXzfsG25Wqeevpb5FOwkO14dzbqO+rl5C4ZA01DdkXaatqU1CW0ISiBT/PhLZFtHW2VzfnLqNWr+6LCpR7Xcpr+9CmgabtHWqL8xyrq+mRr34pLm5ST3g45cHtmuXa/e1bZJIsveVVWzdN5P3I9xguI/1danLdS0tbVJfU6clJsWDKqUnoP0/HAhKOLlsKBDXLlMBK/2yfGLBqLZ8xLAOo9pgTLs+NnN3CTfuKvLivROWaWpsmjBWo3hyGzU5tqFaQWhjDmYfczgSGV9/TURkJPH/QHK96jZhCUpNIPF4RAz3vbmp2fA6yfOcrviIhPuflFDfG9pt1LJN/YnXZ0Ntg4RGQ9os2fo61D6grmtsaLTmtVJfr40zXF8v9ZV47dUmXk/hxsb0/cijvPTZCfiJY/tmpFZ7j9M+jzz+/qC3RyrE1FH5V7/6VW1D5557rhYgUt/yqA+2iy++OK35uVlTpkzRZsNbt25d2uXvvfeeLFiwQOymDjgzs7ZQnBwT8HhmrIftsoM89MJ6J4YDmLJmaXpAqlr3W7hPqh/U6IDpRuel9JQajiW+yKoJ1UyYfU9ls7hKy44ic/cTqW2yPCDlCjneRELJg1X1bOg5RWbuvZ7/WHD2vdbZIktPyRqUKlQ9acU4x7dVuKdUTdpDx5sxAKD6mOopFQqF5JprrpHNmzfLM888I//85z+1/6tglbrOSqtWrZKnnnoq9bcKgD399NNyxBFHWLodIJ+DFk91eggALHDSyjlOD8F3M/CV0g8qU31N6T2lRqOJ7j96o3Xj7HuF3P3K3XL+g+fLxkHrWhEUDE4cdZ3Iqi+KnwRH+rP0lKpko/OEsfhYnt5RgSJn+LNi9r3ch+E1yYbvadvhGwIAQBWyZJodlR2lZs9TP5n9paxyySWXaI3K165dm5r5TwW+zjjjjIpsD4C1fDShVFZH7jZD+71i/iSnhwI14+usVqeH4BvlZDnlXEcJ2VajsdEJjc712fcK+enzP5X1g+vl9hduL3msKF74nX+kglJ68/GgBY3Oc5UB6AGvsZgKLQVMbcOar15zjyFUIOsLAIBq4ZqmGiMjI7J69epUg8WTTjpJ69N05513an+vXLlSbrrpJu3y+vp6rWzw/vvvl+ZmwywjNuvq6tJ+okU03wTgb7Pa6uXnn9pP6mos+S4AJvk9SGqncmbOyxWUKmv2vTIypXSxuMvK/Lwqx+MYTCb+qGv1JYJWlO8ls4xyZkppQanyRK08gM7zRqSvPy1Tqjnx5QYAANXENUGpSCQiDz/8cN5ljjvuOO3HLVSDd/WjGp2rnlcozOuJ55zHwoz6iDd7xRDAgRn6FPR65pJd5XvD0dw9peCSnlLJ39FAXKLJQJKZd0k1w6+S61nWL4/Gornf2Aq84UULBL6szpRKuy+T5oms/rJIwxQLtg0AgDvwlT0s9ZEO+rQAAMapWXsw6IYAAFSGSURBVL7Msqx8rxqbiHtYKihlUU+pgo3O9fI91VMqpwI9pZJXV/SVtMsxqbGmNzoXkZ0OFpm+WyW3DgCArQhKwVKrd5vu9BAAoKDRKGVZ1V4CmLV8r8ieUrBa9kypYDLwkugppV9WvpFiG52XWr5nCKzqva8qWr43/8Ds5XsAAFQhU0Gp7u5uufrqq+XVV1/V/v7+978vy5YtkxNPPFHWrVtn1RjhcTs01zo9BLgAh9Vwk7+u3SR+csb+86UaglKlNEvPlikVDlK+58ryPdVTKll6p/eZKkehgFE4XkRQKmugyBiUSrA+vGnYbiCUKg+k0TkAoNqZCkpdddVVEovFZNKkSfL3v/9dzj//fDnyyCNl9uzZct5550m1U03O29vbpaOjw+mhuNqCaY2p/y+b3eboWAAv+cTBC2RamUHdLx6zq+w+m153ucR8NrX6jm2JoI5XNdSMl+/Fi3zuUj2lkj2tFDKl3NXoXH82YhJP9Woy1VMq+TuSM1OqmNn3iuspVdEMpkAwFVgjKAUAqHamglL9/f1y5ZVXakGpG2+8UQ477DD5+te/Lt/61rfk3XfflWqnmpz39PRoGWNIKnCu0FzHt9RAsd6/bJb8+Mzygt77LJgip+07z5JxBKowz60a71M1N6vXM6ViEksFm4ou36OnlMd6SlnQ6DzHsUhR5Xt979pXvpdLIGhodO7xnRcAgEoGpUZHE99JDQ8Py5133ilnn3122mx6AIDKCVR5IALQ1YXqJJg8ZCm2r1TW8j1m37NP2htQ/vK9mCEDSe8zVYlG5+Pbi0ksR/aWqJn5Si3fCwTNP0bGux0IpNZPphQAoNqZCkrNnDlTzjzzTPnABz6g/X388cdrafX33XefFqgCvMxfxT0AlF1mNEs1ClTBDH71NaU1Ox+Njk5sdE6mlDNylFzqAaixtKCU+fK9XNlFxsuj8WzBpxwBprRMqSzbmLe/WF++l1h/ONlbCgCAamUqKPU///M/0tjYKHV1dXLXXXdJbW2t/PrXv5avfe1rvugpheI01vLNNABvuPoDS50eAnJoCI/3lSoGPaVcJEcm0Xj5XlzrK2W8rBx6aZ312UWGYFaBEkErtqEeLz2UylQxAIBqZypaMHnyZK3Zt9EHP/hB7QfQHbJkmjz4/HqnhwEABUsbq7XksRoyP/W+UsVmSo3E6CnlGjlmPQwlX5ixgJp8IHmZBZlSNWZyAwu8CYxnSlkh9xvRQdEaeScQk1Ux2mEAAKqbqUwpv2P2veKEgtVzllcNJ3bwD59NMIcqpwelBsYGSivfo6eUezOl2uZov6OWle9Z0IS8QH+orLPvWdFTKv0KmSEhuXCsQebHCaQCAKobQSkTmH3PX6o1gwLeVamY09wpiTIpVI9qePtqqCmtfC9bo3PK9xwSzBGU2uV91jY6T960xtSbY6FMKfNlhoWHwOE5AMA/+NSDpQodB5K4AbjfjJY6qXbVEKTxm1IzpbL2lKJ8zxk5goHBZMBQBXr0ufBCFWx0XnYNb5ZG59a8knxWRwwAgJ1BqUcffbRSqwYAAD4TTvYlisX18EVuaiZgPVOqNjTeKpryPZeV7yUvV8+o3ug8GHdjo3PjNrKV75UZRNryuuEP4zoISgEA/KMiQaktW7ZopW1ANaE/D1D9SFCoDnpASiFTyv1BKa2nVMAtjc6zjdWYKZWtb5Vhe7P2LnPDhoMM3ogAAD5iWVBqaGhIfv7zn2sz782aNUv++c9/WrVqVBEOswC4Aed81W0kmph5T6kJjQelgvTqccaM3QsHpSrV6Hy/80RmWzchjR48C8dzvKEsPKy8FadlAPIGBQDwD1NHZ7FYTO677z45/fTTZfr06XLyySfLv/71L/n85z8vS5cutW6UgEtwmAhUh4DPolJ+u78jsURQKijBtJI9vQQQNpu1p8hRXxf5j6vSLtaDhNG0nlLlv1ZHszU63+NEkWO+WUI/p2CRPaVyldsFVLOs4gZMkBQAgOJmzX3kkUfk3HPPlYGBAbn55pu1y26//Xa58847ZcOGDTJ16lQtIPXXv/5VC0op++yzj1S7rq4u7Sca1b/fAwDAfXwWk0plSqmZ94wBOWbfc/BFN3cfkY0vp12kPx/qKCpmSaaUFeV7xc2+l/MAWt28ZUeRbZvHI1gAAMBcUOqqq66SP/3pT7Jx40bZddddtcsmTZqklep95CMfkVWrVkkoFJL9998/dZujjz5aqp3qm6V+tm3bJq2trU4PBwAAqOBEdHRC6Z5CTyl3CRsanatsKaXcZygucYsanecPSkWzHUBnBrJq6kV2O0Hk73eLxPjiEgAA00Gp5uZmefrpp7WsqBkzZsjw8LCcc845WtnekiVLilkFAJ/zW/kQvClAkW5Vle8Zm5wrzL7nLqnyvYBINFlyV+4eqAJb8Wwz45Uq62fVxPK99G1kuY2ZtxI+LwEAPlLU0dkNN9wgl19+uRaMeuKJJ7QsqV/96lfy2c9+VgtUfehDH5KTTjqp8qMFAKRw2gLkL9+rDdWmXU75nrveoULJYj1j+V65ASVjm/CgmcDPv+7MezM97yntlUQQCQCAshX1ub3jjjvKTTfdpPWRUv9vaGiQU045Re6++2659957paWlRcuaev755+VHP/qR9Pb2amV9QCZj71EA2X3qkAXyX8e2Oz0MVJGATzOlIsFI2uWU77lLtkbn5faUsmzuui3/LqOnVI4txjnqAQCgENPTfkyePFk++clPyh//+Ed59tlnZevWrVo/qd/97ndmVw0AvnTsHrNk5U6TxS2qMQlg9x391QewGp/DYjKlMntKUb7nLqHkC9OKnlLGoFSogjuQPsNfuKLxJp/tsAAAX7N0LlqVRaVK+h599FE54IADrFw1YLtsX3DynSfcoiFCxocZO89odnoIsKPReUZPKTKl3MVYTqkHexzPlCpgvNG5BVvxW7QYAIBKB6WMyJSCbuG0JqeHABRlVludeMX1H9nT6SEAri/fo6eUu4WS5XtKIowoEirz25+Y4WujrM/yXqcmfte1JS8oLyCUNaPLcD8INAEA4JKglB90dXVJe3u7dHR0OD0UV2cXNdZSLuEHwQLH4V44TP+WRwI9oWBAdmyrd3oYgOvL9yIhekp5JyiVOIAIWtDoPNA0M/Gf1tnjF644W+QD3xdpml7G2vUyw/HeV8Ud2RSIsNFzCgAAglJmdHZ2Sk9Pj3R3dzs9FFfYZUazTG9J/1bai4EJ+FdDJCx7zkl8i37YztOcHg4qqBreiyY1pgdcMG40lsi7CQfTQwf0lHKXYJbDULM9pdQaA83TRc64W+TEnxg2FhSZsqC8nT+Z/aSX7uUv3ythA2RVAQBQ5Bc9QAH/0T5dzl+1SAIcYPmXeu6r4FvfS4/eRZ7+d6+smD/J6aG4RlXu1VVwpyKhKrgTFRbIeKLJlLLRjD1KypTSme0plbp9XYtYTS8xnHAAnevYpwo+EwEAcF1Q6qMf/ag2u96aNWtkypQplRkVPKnaAlLhQvVoKOngO+6hbKkDF08VL6jUY8orvxrxrCr0lLLBaXeJ9G8QmbqoqOOGoEUz58VzBCKtpPeTmjhO9i8AAMpV8hdS++23n9x6660yb9482XfffeXqq6+mfA1V5Yz952v9ek5cYehFQZZ9QbvPbtV+8zhZTy8ptItXAohm5Dpx9dLrlySM0mWW86ECGiaLTNu56MVDGfuiZZlSFTBm2EZa76tZ3uhHCACAG5V8dHbeeedpP0NDQ/LQQw9ps+ydcsop0tfXJ0ceeaQcddRR2u9Jkyh98ZqzDpgvN/719bJuW+x5nBfOoT60fLb2g9LMndwgnzp4obQ1pE/BrvPQub7rlJu0Vyho8d2T95ILbv+7+JGXgk92aK7zR7CGTCn3CWWUxWUGqUqdfS9gQ1AqNcbTfy0ysCnjzbaUEQRyv0EtO1lkfU9i/VvfKnvMAAC4XdlfKNXV1WkBqO9+97vy8ssvy5///GfZe++95cYbb5Q5c+bIAQccIF/96lfltddes3bEgEPISihszuQGaa7LHpSC++w0tdHpIaBMp+wzt8Rb5H8Da/LJLKnBLD2M4KzMZ8RsplRIvdQjTVLJ8r3U3lLfJjJlYWWi3PueI/L+74rQBw0AUOUsOzpbsmSJXHjhhXL//ffLhg0b5NJLL5W3335bHnjgAas2ATiumpMrzj5wJ6eHAJdm0Hxk5Rynh4EMrfU1JZ4HV/O7V/FUDyOypdxFCyIZ/y5zPdHkSzyoAlIHXiSVMJrcRjgzxkvqJQAAZavIV6P19fVy7LHHaj8AvKGuxtyJGplk9rPiNGjlTpPlidc257z+p2fvI8EqbPpvwWTunsI58zgVlIrGo04PA0khi74t1T6CIk0SnLarSNMO1u4UyWX1V024at8pAACwH3nsAJKIKvkxwPDFY3aduH7D/6sxIFUNs4UGLA4E+2nvD1EO5SpBqxudV7BEczwolcmK9xM/7YUAAIwjKGVCV1eXtLe3S0dHh9NDAQDLgjMej9egDH7KdAwH/NE/yyvCGQeluWbGLDYoVZmAc2KdY8nAUd6wJm+gAACUhKCUCZ2dndLT0yPd3d1ODwU28dF5m+U4Ts+vpZ4TZTtVw8uRfao8ZEq590DUzEGpPvteJXuGjeUq3yt3Z2QnBgDAXFDq0UcftW4kcJyZYyOOq6rDafvOc3oIvhUKWv8dwbTm2rJu54esGa+/Z5U6fo/fXUvR6NxdjM9GyMQrNVpyplTpPaX0oFRFXkHxKnqDAgCgBKa+mv/P//xP+dnPfibxLGcwNTU1MnPmTDOrRxXiMMvdZrTWOT0EWByUuuoDu0lzbWlv9T6ISVVtrym/3a9ykCnlLsZAlJnQvP6+FaxgEYBevleZnlIAAPiTqaDUY489JvPnz895fW1trZxyyiny7W9/W5qamsxsClXCzye71Y7n1p32njvJ6SGgQvyQ0VbJnlIqeBFLdSKCU4whpJCJ17Qtjc6Tsadw5jiNQV8CwAAAlMTUJ/cPf/hD+eAHPyh/+MMf5MUXX5SXXnpJ+//JJ58st956qzz44IMyMjIiX/jCF8xsBgB8jdiD9cptpozqyZQiY8odjM+CJZlSFQlKZZbvZb5/8H4CAIAjmVL/93//J7/73e/SygIWLlwohx56qLz//e+X3/72t7LPPvvIgQceaGYzAKog64IggHXIkLFAFbwcScgw11MqHAzLaGzU6eH4npYdFTDfU6rkTKkydqDc5XtpKy55vXnXwRs+AKDKmfo66d13383apyIYDMqbb76Z+n99fb2ZzQAAbESswwt4lsqlglHGMj5UR0+paDJgVMn+aXoz9Qk5dkSIAQBwJijV3NwsF110kbzxxhupy/7973/LhRdeKC0tLdrfr7zyimzdutXMZgAAsFSuc0gvnVqSQGE+Uwpum32vfPFKzq6Y8YZh6/sEAS8AQJUzFZT63//9X/n9738vO+20k0QiEe1nwYIFWi+pH//4x7Jx40Y5/fTT5dRTT7VuxHAlZnYC4CVef8cq9S3X6/fXSnovKYJS7jsQNZcpVflG59bvYUXcjugzAKDKmToi23nnneW5557Tmpu/8MIL2mW77rqrHHHEEakgxV//+ldrRgrA05rrOAHMh6ABSmXldwGzJ/mnzF7PpKlIRg2cy5QKOBiUKmVn7B2vLgAAACaDUscff7zWL0rNtLd69WrrRgW4EMlg5bnqA7vJTx/7t5y/arHTQ3G1cr4Lb4ikv4V/uGOOY2OBt5176ELxi7122Eve2PaGLJm8RN4beM/p4fheek8pGxudl8QwrtpmkcFBkdkd2a8vZGBTjit45wUA+JOpoNTjjz8ujzzyiHWjAVB19p47SfuB9QHSJdOb0i4/bd95zgzIg7xecmz16FsbasQvjllwjBy909Hyq7W/cnooyMiOsqJ8r+IzvTbPEJk6TeSQKyq7HQAAfMLU10nLly/Xekhl88tf/lKqXVdXl7S3t0tHh/HbMuRTX+PdcgnV1sHbp7GoxsDKrLY6p4fhSfn25Svf3y5eUKjVTCmZc35rW+P1oGQ1sa7RebxymVLG14taf9u8RMZUtuut3h4AAFXO1Cf3pz/9afnyl78sb731lsQzjmhvuOEGqXadnZ3S09Mj3d3dTg/F9c5btUh2mdEsp6yc6/RQkIPZc1K/ndS6RSUedz+cDgXznPQtnzdZ3G7F/MJjXLJDeiYd4Eb+bnQOAABMle8dc8wx2u8rr7zSqvGgSh252wztx+uIuwDVIRxy30lkKBiQaKzwu8zxe+8okxsjJSVTkHgBT2RKWfAh60xQKodQRCQ6MuHijRKT28JDckw8KP7p5gYAQAWCUsuWLZNvf/vbEy5XWVMXX3yxmVUDcAAnru7E02K9cNC7j2pjRoN7o5b6sGwbHLNzOIApobg1jc4rmykVKO/D84M/EPnHrSKLDhe5//LUxd8JD8hLwaj8VXrlZ9GW/OuevSIxY1+EzEcAQHUyFZT64he/KIccckjW66677jozqwZgM8rv3IunpvI9hT68YrbUR8IS9HCwKhOvG/ipp1RlZ98rJJB9z5u6SOSIK0Q2v5q29DuBWPHrW/kpkdY5IvP2t2isAAC4i6lP7hNOOEH7/dprr8mjjz6q/X/Lli3a7yOPPNKK8QEAUHGn7TdfPrR8dlqJnFuDSHpD52xyzTxW8RnJAId7Sul7RdDcoW15wrWGPyzefk2dyNLjE7P+AQBQhUx9cvb29sqaNWtk4cKFctppp2mXXX755XL44YfLxo0brRojAA/Id6IMb6GMU+TM/ed7Ml0x13PXWOvdmU9R3azKlCq9fM/Cpmx1LSKHfEHksMtFwjXmtgUAgM+YCkpddNFFstNOO2mzz82aNUu77Pvf/76cc845csEFF1g1RgAAHC3vs2mjFVu1aox+/qpF8oU1u1RsG0A5woaAjblMqbizjc53OVpkyWpr9nm+GQAA+IipT25VtveDH/xAli9fLjU1498MnXjiibJu3TorxgfAJmQ6AdUlM/Fq9W4z5MDFU50aDlDwQDTk1UbnAACgbKY+uQcHB9Nm3DP+n6AU4D00O4efHL37TKlmBJrhBSGLDkqdbXQOAADKZeqTe/78+VoPqc2bN6dKHV566SU588wzZY899jCzagDwFWNgH/YIu22mPatfA4bV0egc3siUMv9yL7701sKeUgAAwJmg1Pe+9z3505/+JNOmTZM///nPWgnfrrvuKq+++qp85zvfMbNqAA7guNt7CGVVpxmtdU4PAbCFsWTPzEFpNOD1TCnjuzkfxgAA/wibufH06dPlL3/5izz00EPy3HPPaZctXbpUDj30UKvGB8Ame+zYJv/e3F/27Un0sc+qnXeo6Pp5Lp1X7impMUukpT7bLGCAu4QM7zehuPlgTNDc960AAMBLQSndYYcdpv3A2yjv8Le5UxomBKVqQgEZjRKhsEOxJSeXHLWLrJg/qeLjgXd97sidZXP/iMyZ1JC6jP5SqPaeUtGKzr5nw/FRbavI2PrKbwcAAJcp6ZP7nXfekYsuuqjo3idjY2Ny/vnny5YtW8odHwCHqIDUHrPbnB4GMhywaKrUhs10XoFbFRs2yvcRrE6dD14yTT64145WDQuoKOO7WcjORud21qsXs60QmY0AAH8qKSg1a9Ys2XnnnWWfffaR22+/PecMeyp4dfPNN8vKlStlv/32k0mT+FYf1SFI0yW4TCVekbzMnVFq2eTn1+wiTbVhOW/VotRlrTlK9siEhVsFi+gpVcyuwex7AAD4pHzv05/+tOy+++7yuc99Tk499VSpr6/Xgk7hcFhGR0e1rKjh4WHZf//95Yc//KGsWLGiMiMHHLDnnDZZumOLzJvSKF7wozNWyMd/8qTTw4DHejzRU8p5xQQGl0xvlts+sY9W+jmtuVbufPJNOW/VYjuGB3g/UwoAAHi3p9SBBx4of/vb3+Ttt9+Wxx57TMuY2rp1q7S1tcmMGTO07Cj1G6g2oWBArj1+D/GK6S11Wg+i6373gtNDgcuDrf94s9fpYcBEL7K9507SfgBv95QqP6MvXsmglOn0UTIVAQCoSKPzHXfcUU444QTxq66uLu0nGo2K31Hu417L55V/onrSyjny1L/pCVftPr9mZ/nTSxvkf/70qvhJtTf/rvb7h+oQtKzRealBqQIHLjUNIqMDxS1rNQ6qAAA+Qo6zCZ2dndLT0yPd3d1ODwWwRGbfmV1mtDg2Ftinua5Gjt1jltPDAOBDYcPnTshELzQ9CGtZplQqIAUAACqJoBQAAACqIlOKpv4AAHgLQSkA8DAKtLzZ0F01Jq80Ts7hBaG4DxqdU44HAEBOLvzkhlPoP4JsDZRhj7iLprzjqa+8VbvsIOetWuT0MADHeaLRue14EwYA+IepT+5bb70153XnnXeemVUDAFC1goGAHLlbebPUttbXFLUcXzTAaweixqypcjOlQgEz+VYAAMBTQamrr75a1q9fnzVYddttt5lZNQCH8T0tYK+2huKCTUe0T6/4WAC7hAyfNmYOSvWgFFm+AAB4i+kc55NOOkn+93//V/v/W2+9Jcccc4x84hOfkFCIb6r8hN4lQPVYNqdNggGRRTs0STVzWx7RvCkNRS1XEyrjo7vAW7SLqkfhM8ajRVM9pQIWz75nKY6RAADIJSwm/OQnP5EVK1bIFVdcIfvuu688//zz2t//+te/5A9/+IOZVcMBBJYAKA2RkNx5zv4SVpEpVAeCTqjynlIlNzp3c0aVm8cGAICbglIqCNXc3Cz333+/rF27VnbaaSc566yzZOHChRIOm1o1AI+pryE7sppEwm7MNkAp+KIBvsqUSv4OMocPAACeYuqT+7Of/ayWGTV79mzp6emRJ598Ul5//XU57rjj5P3vf791owTg2i9nLzh8sewxu1U+3DGnEkMCDat9yYqAEq8beEHQ4p5SwWAFglJkLgEAUDGm0plUM8lbbrlFPvShD6Uu++IXvygvvPCCrFmzxorxAXBIscfg/9E+XftB9SDDBoDXMqXiVZUpxXswAMA/TH1yf+pTn0oLSOl22WUX+dznPmdm1QDgK8wYhR2a6yq3cl5e8ERPqSwapog0zyi4nqi+jqIbnbNTAADg+aDUNddck/M6TrAAoPKYNa16nHXAfKeHANguZHgPC2ULFEUaRSYvKLieWDJXiuNPAAB8VL53880357zuhhtukHPPPdfM6uEhH9hzltNDAKoW5XT+0FxXk/q/3efVnMfDKSGre0pVonxvwaEir/1JpGWySHSd9esHAMDHwmbL92bMGE+pjkajsn79eq3JpPFyVK9T950rx+01m5m6qthlR+8q19z7vNPDAGAGGXVwqaDFPaVCwQrMBBuuFfnwLSJvPizyz/+2fv0AAPiYqaDUYYcdJvfee2/aZWNjY/LTn/5U4tSU+AYBqerOztlv4RSnh+ILvGfaz80PuZvHBlSsp1TcfKZUxTJLSScEAKAiTEUTMgNSSjgcljPPPFN+/vOfm1k1PIITJ6D61BJorj6cT6PKZ9/Tg1KhQJFrIcgEAID3M6Vyefnll+WVV16pxKoBABVy5v7z5cV1fbLPArLjKq3Q+TDny/BnT6mA+Uwpdh4AAPwTlFqwYOJsKH19fbJlyxb58pe/bGbVAACbnbB8ttNDAOAzVvWU0mffCwaqINOTwBoAwEdMBaVqa2vlkksuSf2tvp1qbm6WZcuWZQ1Ywd04BgIAf6IUG244ELVk9r1qCEoBAOAjpoJSKiB1xhlnWDcaAABsEmdKOsBxQauCUoFSg1J8EwcAgBuY+jopX0DqqquuMrNqAEASwRP/IXMVfjwQDVvQU8qdmVKlvofzBgAA8I+SM6Wuvvrqopb7yU9+IldccUU5YwIAFI2AFQDvCkhA6yUVNRmKSTU6J6ADAEB1B6W+9a1vyZ577llwud7eXnGbV199VT772c9qvbDuuOOOtOu+/vWvy+bNmyUej8vs2bPl/PPPF7+hpwiMyNQAKofdC5C0WfeiEjfZ6DwhFDCzFgAA4Pqg1H777Sf33ntvweWOPvpocZvHH39c1qxZIw899FDa5X//+9/lzjvvlO7ubu1vFXQ74ogjZNddd3VopIDzwcYr3reb1UMBfGunqY3y2sZ+p4cBuJIKI42abnTurtn3KLsGAKA4JX9yFxOQKmU5o5GREa15ejgcltdff33C9XfddZd0dHTIQQcdJIcccog899xzJa3/5JNP1rKkMq1du1bmzJmT+lv9/09/+lPJ4weqKXujfVaLgyNB8ci58YIDF00taXlKkOAnLfHE670x+bscccNM0J7/dsiN9wEAALcEperr62XBggXyyCOPWDoQFYRSgaZ3331XolHVWSDdE088oTVWv+2227Rtn3322XLkkUdKX19fapkVK1ZoWU6ZP++8807ebavbqQCXCoqpn3/961+ybds2S+9ftX3jDwAogcPnmJzj2oeAYukuGmuQ/xxtkMkmcqUo3wMAwCfle/vuu2+q/O2ss85K+0bqxz/+cdkD2b59u9xyyy3y1ltvyc033zzh+uuuu06OOeYYWbx4sfb3qaeeKp///OflpptuSvV/evLJJ8va9k477STf+9735Mtf/rJMnjxZ9tlnH5k7d27Z96XaHb7rDvKjR15zehhAVfnoPnOl66FX5LBddnB6KKjC0h96BsLNFsZDslDvKHXAhYnff/1OeY3OPRWB9dJYAQCojJK/kjJ+2J955pla9pLqyaT+b8bSpUtl0aJFOa9/8MEHtYwmXTAYlOXLl8sDDzwgVpg6daoWlLr44ou17Cs39sQCUL3WLJ0pPzx9uVx0eCLwjsr7j12na793ntHs9FAA6JYeLzJzWeUzpTwVvAIAoHqVnCllpMrtlLa2Njn44IOlUjZt2qSV002fnjiB0M2YMSPVnLwY99xzj9x9993y8ssvy3e/+1254IILUtede+65snr1aonFYnLppZdKS0vufjrDw8Paj87PpX58+Q5YZ2ZrvdND8JXF05vlJx9bKa31NeL2ErBdZjTLC++Nl6sD8FKmVLzEy914HwAAcGFQSvIcAKhSOxUEssLAwID2O7NJufpbv64YakzqJ5vHHnus6PVce+21ctVVV024vLe3VwtqeVX/QL9Eo2OFl+sfSC2nHn91v+1QynNtJeNjYtd9tdLgaLSo51XdN1VGqy9rvK/5bu/Fx8RrhodHsj4vytjoaM7r7OTU/mlFunCfmvYri2L2m1IeH+P6BgcHteer86DZ8v/++qZceOh87W99mZHR8edc+3sk92sgl62D46+NrVu3Snw4nPN+9W7tleGayvTiUfc1OhaVwYHEfc66zFBimYHB3J8pQ0ND2jLqs6rQY6A93mNR7Ta5ls23jLpc32axj7f2/jkWleGR4Zy3aRgdlWA0KoN92yVa5Z+d2QS3bZOGZN/Qgb5tEhjuk/qMPqLbe3sl2NenLTcWUJ9fMRkdHZWxLP1GjaLhuMTjMdnet1164zleZ2OJ15nSu22rTCqwTt3IwICM9PZKf39/4jkezv0cD6hjJLXM0PgyxvutxGvUWBP/1++X1k81nvh767atEh8zFyzX3kPGotK3vU96a3ple3/i9am9l6jHIDj+XlLKvlWMyOCgRKJRGR0clOEKvM7rhockHI3KcH+/jHr8GMRN+ycAd+yb9SPDEopGZah/u4x5/D2u2OSdkoNSqhG56v0UNzSoeO+99yZc9tpr1vUcamho0H4bs5P0v/Xr7KQyqT7zmc+kPdhqxj6VMZYvw8rtmhr7JRQq/JJobGxILacef3W/7WLntnQLp7fK6xv7ZZ+dJjuyfbNqR6JFPa/qvjU1jaWWNd7XfLf34mPiNbW1kazPixKuqZFQKOqK58Lp7VtNf8wba0NSVxOSTdtHyl6Xeq807kcNDfXa47VmzzZZvcc8CQYTX+7oy0Rq1HM+HjyKRNTfw6U9zpERw+umVVrqanLuz22tbVIfqUxQSk2QEgqHpD55n7MuU5dYpqE+92dKXV2dtkxjQ2PBx6Bhc4O2rLpNrmUbNuReRl2ub7PYx7tpsEm7XW2kNvdtamrUEyDNzU3qSRHf7ZtjLdr9V1qaW0Qi2gty4lijzdrl4YD6FZSamhoJZyyXSU3cFwgEZVLLJGlryX5/I6OR1HPb1tJacJ26cEODNLS1SeO2xsRzXJv7OW7oTbyuausMy6ggmWFbKhMyEIhrJYT6GEKhkMQCov3d2tIq0mTuOdPeQ8IhaW5qTny+9yden9p7yYh6bMOp8ZWybxWlvj7x/NXXS30lXnu1dYn1Nzbauh9V/f4JwB37ZqRWe49rarT3WKESVMuligSlXnzxRa2PVKbMy6xMn54yZYq0trbKunXr0i5XwTA1E6Dd1MFIZtYWqteXP7Cb/GXtRjl0ZxpQw40ooq00dQL5yYMWyLW/e6Ei69cDUgDKl8pTL3p3Yr8DAMCTjc5VHylVolbox+oeU6tWrZKnnnoq9bfKynr66afliCOOsHQ7QKa2hogcu8csaaq1pNoVQBU5avcZTg8BgApKBUpsdG4npr8EAMC6oNTXv/51S5cr1iWXXKL1qFq7dq3296233qqlOmfL2gIAwA6n7ze/4DJ1NSV/1FqOc2L4JVMqGHB+fwMAAMUrOfWjo6PD0uV0qvGimv1Ob7B40kknaX2a7rzzTu3vlStXyk033aRdrvpTqPrE+++/X5qbnZvKu6urS/vRmlMCAHynmAKg75y0l1YCDKByCEoBAOBNrqlHUo0XH3744bzLHHfccdqPW3R2dmo/qtG56nkFAECmWW31WftU2cnCNo+AK8VLDUq5eadw89gAALAYXycBPnL4rjRrB0oVd6KZPOekQEliyf3U7oAvAAAwh6AU4COn7DNXrjlud6eHAQBARcr3XNnoHAAA5ERQCiWb3lLn9BBgwu6zKTUFrFJ0DlWpyVY0JgdKymbUd5kApW8AAHgKQSkTVJPz9vb2kpu6e9nHDpwv++w02elhoExmyxp2aK61bCyAV7ihHKicGFUkPP4RXxPk4x7VnyVVPZlSzr/nAADgu0bnXuTHRufH7TXb6SHAQXvNbZMl05vle39c6/RQgOpmwTlpQyQsFx6+WOuZXB+phhN1oHBQqvjZ91wQ+Ik0igyroRA0BgD4F5+CMCVOiUl1KXCMrsoiVu82Q6aRMQV4whHt0+XwXac7PQzAtqCUp8r3aptF1lwn8tE7nR4JAACOISgFYBxBRqDqfeWDS2Xu5Ab53JE7Oz0UwMFMKZd8uM7bT6Rxqp2DAQDAVSjfAwDAZSqZ67FsTpt0fXRv2dCn6oaAKgtKVcP3rV7K9gIAwKQq+OQGAMB+rfU1ni6VbqkPZ22KDnhNzJCJ5M5MKQAAkAuZUiZn31M/0WjU6aEAAGw2uTEiXlYbDsn/nrlCgoGAhIJkZsC73F++BwAAcuGT2wQ1815PT490d3c7PRQAQBW3YKtUNc8OzXUytYmJC1Ad+2LArY3Oc6Y6unCsAADYjKAU4EOH7bKD9nu/hVPKun2caReBis90acQuB+Sm56sHCfIAAOA5BKUAH7r4iMXyi0/vL7Mn1Ts9FABFiDM1JpCTvneoUtSiuTGjCgAAH6KnFODDE1uVhREJZzkg5xgdyI59A3B9Tym+aQUAwHv4/IYpfNEIANZrjIScHgLgbvVtE2bfC3gteuyx4QIAUAkEpQDAw3bfMXFiVl9DEMNTclTjXXrULrJ4hya54PDFdo8IqIJMKaI8AAB4DeV7JnR1dWk/0ajeYhMA7PXJgxfInMn1csCiqU4PBRbYf9FU7SeT5zJAABtFA+V808o+BQCAG5ApZUJnZ6f09PRId3e300MB4FP1kZAcv/dsmd5S5/RQUMHzYRqdAxY3OgcAAK5AUAqmME25t5BtAQCoNq4v3yv1YIngGgDARwhKAQAAwLNcH5QCAAA5EZQCAJcjI9GdJjfUFL9wGefKH9hzluHmnGwDBcv3PJ2NxBs9AMCfCEoBSOHEFyjsqg/sJsvnTZLzVi2WeAUjhqfsMzf1f3pKAblFk/tH9WRKVcv9AACgMGbfA3yMw16gdHvPnaT9KH1Do8XdqIyYEkFioEoanYdrnR4BAACuRaYUgJKRswE/qcR5rktPnQFPirr9oLZtjtMjAADAtVz7+e0FXV1d0t7eLh0dHU4PBQAAwOc9pQLeDQ3zbQ8AwKcISpnQ2dkpPT090t3d7fRQAADVjBNWoODse1VT8urWMkQAACqAoBQAAC7EeSlQYqNzdhoAADyHoBSyUjNLAQDyC3ASDLiofA8AAHgNn9/I6jOrlzg9BABwjcYIk9UC7m90TpAYAACv4SgbWbXU1Tg9BDiApA8guz1mt8rRu8+UuZMbbNtmnD5SQFHigWoLSlXL/QAAoDCCUgAAFFGm9+lDF064PF5m5IiyP8D6Ruek/wMA4D18fgM+Nrmx1ukhAMiBuBVQYlCKnQYAAM8hUwqocvE8c8kfudt0eWPzgOw1t83WMQFewnku4JVG5+ysAAB4DZlSgI9PrsOhoFaStO+CKdrf9LBxp48duJMEAyIf6Zjj9FAAwHWiybBUSQe1RJsBAHAFMqVM6Orq0n6iUX3eFwCw3sJpTfKLT++vBREBAOnIlAIAwLs4wzGhs7NTenp6pLu72+mhALbisN9+BKT8jSRGIDf9q8EAn04AAHgOZzkASsYJMmAOp85AJRqdS3WgtBAA4CMEpQAAAOCv8j0CPwAAuAJBKQApHKMDALxavhciBxEAAM8hKAUAgMvFmRoTyCmezJWipxQAAN5DUAoAAACez5SqnoNagmsAAP+ons9vAACqVIDaWqBwTyn2EwAAPIegFAAAeVASBHhk9j1P76uU6AIA/ImgFAAALkdPKSC3WKAaglIGZHwBAHyEoBQAAC7EeSlQYvmew+MAAACl4/Mblsx4AwAA4IRo8liEnlIAAHgPQSkAKRzOAwC82lOKzzAAALwn7PQAvKyrq0v7iUb1yYgB96EVDeCMb564TKY2RSxZF7sxUO2Nzo2q5X4AAFAYmVImdHZ2Sk9Pj3R3dzs9FACAy+w8o1mmNNVmva6YKiNm/QNKC0qF2GcAAPAcglIAAADwLD2TkJAUAADeQ1AKAAAXYiIJoDh6E4UQjc4BAPAcglIAALgcp9pA4QAuJa8AAHgPQSkAAPJwQ/IFOVOAnxqdAwDgHwSlAABw4QyWZH0ApQalAACA1/D5DQCAD7OvgGpBphQAAN5FUAoAAADeD0oR7QUAwHMISgEA4HJOlRACXgpKEZICAMB7CEoBAADAs2KBRNQ2RFgKAADPISiFssyd0qD9PmjRNKeHAgAAfGw8U4qgFAAAXhN2egDwpu98ZE/ZPjwmbQ0Rp4cCAAB8jNn3AADwLj6/UZZwKEhACgAAuCYoFaLROQAAnkNQCkDJaLoMlCYupe80NaGATG+plZb6sExrrq3IuFDecwN3iZdbvlfbXInhAACAEhCUAqocXxwD3tyHAoGA/M9pK+QnZ62UcJAdGSiYKVVqUOrUX1o+FvpaAQBQGnpKAVWuIRKW/RZOkdFoTKY0UnIJeElIC0ZxkgvkE0vmSpW8p4QjIoGgSFwPawEAALsRlAJ84LKjd3V6CAAAVLjROQFcAAC8hvI9E7q6uqS9vV06OjqcHgoAAIC/g1LUqwMA4DkEpUzo7OyUnp4e6e7udnooAAAAvg5KEZICAMB7CEohZVoTszsBgB1ohgy4oNE5AABwHD2lkLLvginy4RWzZcl0pkgGgFKmogfghkwpglIAAHgNQSmkBIMBOW2/+U4PAwA87/3LZjk9BMB3s++F6CkFAIDnEJQCAMBCv/j0/hIJUx0P2D/7HgAA8Bo+vwGkBPiWGTCNgBRgr1jyo4vyPQAAvIcjZwAAysQpMOA8Gp0DAOBdBKUAALAZSYlAJRqde1813AcAAEpBUApAyZhxDADgts8kGp2PyyxljPPJDQBwKYJSAAAAqIJMKYJSAAB4DUEpAADgCky2gHLEkllAHNQCAOA9fH4DAFAmCmIA92RKBcmUAgDAcwhKAQAAwLMo3wMAwLsISgFIoXIGAODVoBSNzgEA8B6CUgAAAKiC8j2UIx6nEBkA4Bw+vwEAqDDO+QA7Gp2TKQUAgNcQlAIAAIBn0egcAADvIigFAAAAz9ITEQlJAQDgPQSlAAAA4Fk0OgcAwLsISgEAAMCzoslYFCGp4sVT+WUAADiLoBSAlJpQcW8JzNQDlJaZQQIHUDn6JxI9pQoL8BgBAFyGoBSAlD12bJX9F02Rk1fOzXp9QyRk+5gAN2usDcuHV8x2ehiAr9HoHAAA7wo7PQAA7hEMBuTSo3adcPlFRyyWh1/cIB9eMceRcQFudtp+8+X1TQPyxGubnR4K4EuxZK5UkJREAAA8xzdBqWeffVauueYa2XvvveXll1+WlStXytlnn526/p577pH77rtPGhsbZf78+XLOOec4Ol7ATQ7fdbr2AwClolwI9mVKAQAAr/FNUGrDhg3yiU98Qg477DAZHR2V6dOny/HHHy+TJk2S7du3y8UXXyw9PT0SDodlv/32k//4j/+QhQsXOj1sAAAA5GnYTU8pAAC8y1VfKo2MjMgll1yiBYZef/31Cdffdddd0tHRIQcddJAccsgh8txzzxW9bhWMUj+6mpoabTvKY489JjvttFPqb7UNlTUFAECgAiVBlVgn4OcsKYWgFAAA3uOaTCkVhDr55JNlyZIlEo1GJ1z/xBNPyBlnnCFPPfWULF68WG6++WY58sgj5fnnn5fm5mZtmRUrVsjY2NiE2957770ya9as1N8/+MEP5LLLLkvdTmVR6f9XWlpatMsAAADgXgSlAADwNtdkSqkSultuuUXOOuusrNdfd911cswxx2gBKeXUU0/VAlA33XRTapknn3xS/vGPf0z4MQakfvGLX0hfX59ceOGFqcumTZumXabbtm2bdhkAAAA8EpQqEJMiQxEAAPdxTVBq6dKlsmjRopzXP/jgg1omlC4YDMry5cvlgQceKHobt912m5aRdfnll8szzzwjL730knb5vvvuK6+99loqy6q7u1vWrFlj6v4AAADrjXcQAsiUAgDA61xTvpfPpk2btOwl1ZzcaMaMGVoAqRgPPfSQfPrTn5a99tpL7r77btm4caPccMMNWrlgU1OTXH/99XLBBRdos++pMsF8Tc6Hh4e1H50aGwDAvzgVrjxm8UM2xhAlQSkAALzHE0GpgYEB7XdtbW3a5epv/bpCVJPzrVu35rz+2GOP1X6Kce2118pVV1014fLe3l6JxYzf2XlbNDqW9T46pdjnGpWnsgr114eTrwm4RzXun/prfGw0UPB1rr6oyLdPDAwMpr2nDvT3l7TvDBVYv5sNDg5KdCwqgwODOcc+OJRYRr2Oci0zNDSUWKY/9zI6tR61rLpNrmXzLaMu17dZ7OOt2hCo2w2PDOe8TcPoqASjURns2y5Rm55HN+2bwW3bpCHZN3S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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#load in relevant packages\n", + "import astropy.constants as const\n", + "from specutils import Spectrum\n", + "\n", + "plt.figure(figsize=(12, 8))\n", + "ax = plt.gca()\n", + "# Loop through each NIR spectrum and load it\n", + "for i, spec_data in enumerate(nir_spectra):\n", + " try:\n", + " # Extract data\n", + " name = spec_data[0]\n", + " url = spec_data[1]\n", + " instrument = spec_data[6] \n", + " reference = spec_data[10]\n", + " \n", + " # Load the spectrum\n", + " spec = Spectrum.read(url, format='tabular-fits')\n", + " \n", + " # Get wavelength and flux with units\n", + " wavelength = spec.spectral_axis\n", + " flux = spec.flux\n", + " \n", + " print(f\"Loading {url}... \\n Units for wavelength: {wavelength.unit}, Units for flux: {flux.unit}\")\n", + " \n", + " target_unit = u.erg / (u.s * u.cm**2 * u.AA)\n", + "\n", + " if not flux.unit.is_equivalent(target_unit):\n", + " if flux.unit == u.Jy:\n", + " lam = wavelength.to(u.AA) \n", + " fnu = flux.to(u.erg / u.s / u.cm**2 / u.Hz) \n", + " flux = fnu * (const.c.to(u.AA/u.s) / lam**2) \n", + " flux = flux.to(target_unit)\n", "\n", - "#build template plot\n", + " elif flux.unit == u.W / (u.um * u.m**2):\n", + " flux = flux.to(target_unit)\n", "\n", - "#plot example spectra\n", + " flux = flux.to(target_unit) # Safety conversion in case of other units\n", + " \n", + " print(f\"Updated Units for flux: {flux.unit} \\n\")\n", "\n", - "#plot multiple spectra from one source\n", + " # Plot each spectrum with a unique color and label\n", + " plt.plot(wavelength, flux, label=f\"{instrument} ({reference})\", alpha=0.8, linewidth=1.5)\n", + " \n", + " except Exception as e:\n", + " print(f\"Error: {str(e)}\")\n", "\n", - "#plot multiple spectra from multiple sources\n", + "# Plot configuration\n", + "plt.xlabel(\"Wavelength (μm)\")\n", + "plt.ylabel(\"Flux (erg / Å s cm²)\")\n", + "plt.title(f\"NIR Spectra of {name}\", fontsize=14)\n", + "plt.grid(True, color='lightgray', linestyle='-', linewidth=0.5, alpha=0.5)\n", + "plt.legend(loc='upper right')\n", + "\n", + "plt.yscale('log')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "8fd5be27", + "metadata": {}, + "source": [ + "#### Now lets try plotting spectra from multiple sources using a couple different metrics we can decide on within SIMPLE" + ] + }, + { + "cell_type": "markdown", + "id": "2c729f9a", + "metadata": {}, + "source": [ + "##### To further understand what different ways you can query obects you can reference the schema in simple/schema.yaml" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "595f56b9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Querying spectra with T_eff between 1100K and 1400K...\n", + "Found 314 spectra matching the criteria within SIMPLE.\n", + "Total unique sources with T_eff between 1100K and 1400K: 87 \n", + "\n", + " source parameter value model param_reference \\\n", + "0 2MASS J03255322+0425406 T eff 1100.0 atmospheric Sang23 \n", + "1 2MASS J07420130+2055198 T eff 1100.0 atmospheric Sang23 \n", + "2 2MASS J08304878+0128311 T eff 1100.0 atmospheric Sang23 \n", + "3 2MASS J15031961+2525196 T eff 1100.0 atmospheric Sang23 \n", + "4 2MASS J15031961+2525196 T eff 1100.0 atmospheric Sang23 \n", + ".. ... ... ... ... ... \n", + "309 2MASS J12545393-0122474 T eff 1400.0 atmospheric Sang23 \n", + "310 2MASS J16291840+0335371 T eff 1400.0 atmospheric Sang23 \n", + "311 2MASSI J1711457+223204 T eff 1400.0 atmospheric Sang23 \n", + "312 SDSS J083717.21-000018.0 T eff 1400.0 atmospheric Sang23 \n", + "313 SDSS J085834.42+325627.7 T eff 1400.0 atmospheric Sang23 \n", + "\n", + " regime instrument telescope spec_reference observation_date \\\n", + "0 nir SpeX IRTF Chiu06 2005-08-13 00:00:00.000000 \n", + "1 nir SpeX IRTF Burg10.1142 2008-01-10 00:00:00.000000 \n", + "2 nir SpeX IRTF Burg10.1142 2008-01-10 00:00:00.000000 \n", + "3 mir IRS Spitzer Suar22 2005-07-06 00:00:00.000000 \n", + "4 mir IRS Spitzer PID51 2005-07-06 04:45:47.084000 \n", + ".. ... ... ... ... ... \n", + "309 nir SpeX IRTF Cruz18 2003-05-22 00:00:00.000000 \n", + "310 nir WFC3 HST Manj19 2015-06-06 00:00:00.000000 \n", + "311 nir WFC3 HST Manj19 2012-08-01 00:00:00.000000 \n", + "312 mir IRS Spitzer Suar22 2004-04-13 00:00:00.000000 \n", + "313 nir SpeX IRTF Burg10.1142 2008-01-09 00:00:00.000000 \n", + "\n", + " access_url \n", + "0 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", + "1 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", + "2 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", + "3 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1503... \n", + "4 https://s3.amazonaws.com/bdnyc/IRS/1503%2B2525... \n", + ".. ... \n", + "309 https://s3.amazonaws.com/bdnyc/nir_spectra/spe... \n", + "310 https://bdnyc.s3.amazonaws.com/WFC3/J1629%2B03... \n", + "311 https://bdnyc.s3.amazonaws.com/WFC3/J1711%2B22... \n", + "312 https://bdnyc.s3.amazonaws.com/IRS/SDSS+J08371... \n", + "313 https://s3.amazonaws.com/bdnyc/SpeX/Prism/spex... \n", + "\n", + "[314 rows x 11 columns]\n" + ] + } + ], + "source": [ + "# Create a query to join ModeledParameters and Spectra tables\n", + "# This will find all spectra for sources with T_eff between 1100-1400K\n", + "spectra_temp_query = \"\"\"\n", + "SELECT \n", + " mp.source, \n", + " mp.parameter,\n", + " mp.value,\n", + " mp.model, \n", + " mp.reference as param_reference,\n", + " s.regime, \n", + " s.instrument, \n", + " s.telescope, \n", + " s.reference as spec_reference,\n", + " s.observation_date,\n", + " s.access_url\n", + "FROM ModeledParameters mp\n", + "JOIN Spectra s ON mp.source = s.source\n", + "WHERE mp.parameter = 'T eff' \n", + " AND mp.value BETWEEN 1100 AND 1400\n", + "ORDER BY mp.value, mp.source, s.regime\n", + "\"\"\"\n", + "\n", + "# Execute the query\n", + "print(\"Querying spectra with T_eff between 1100K and 1400K...\")\n", + "print(f\"Found {len(db.sql_query(spectra_temp_query))} spectra matching the criteria within SIMPLE.\")\n", + "print(f\"Total unique sources with T_eff between 1100K and 1400K: {len(set([row[0] for row in db.sql_query(spectra_temp_query)]))} \\n\")\n", + "low_temp = db.sql_query(spectra_temp_query, fmt='pandas')\n", + "print(low_temp)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "5788b06a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + "Error: 'Source'\n", + 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Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", + " plt.legend(loc='upper right', fontsize=8)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from specutils import Spectrum\n", + "import numpy as np\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import astropy.units as u\n", + "import astropy.constants as const\n", + "\n", + "# Create a figure for plotting\n", + "plt.figure(figsize=(12, 8))\n", + "\n", + "# Get the first 10 rows of the dataframe\n", + "lower = low_temp[:50]\n", + "colors = plt.cm.viridis(np.linspace(0, 1, len(lower)))\n", + "\n", + "# Loop through the first 10 spectra and plot them\n", + "for i, (idx, row) in enumerate(lower.iterrows()):\n", + " try:\n", + " # Extract data\n", + " source_name = row['Source']\n", + " temp = row['Teff (K)']\n", + " url = row['URL']\n", + " instrument = row['Instrument']\n", + " regime = row['Regime']\n", + " \n", + " # Load the spectrum\n", + " spec = Spectrum.read(url, format='tabular-fits')\n", + " \n", + " # Get wavelength and flux with units\n", + " wavelength = spec.spectral_axis\n", + " flux = spec.flux\n", + " \n", + " # Convert to common units for plotting\n", + " target_unit = u.erg / (u.s * u.cm**2 * u.AA)\n", + " \n", + " if not flux.unit.is_equivalent(target_unit):\n", + " if flux.unit == u.Jy:\n", + " # Convert from Jansky to erg/s/cm2/Å\n", + " lam = wavelength.to(u.AA)\n", + " fnu = flux.to(u.erg / u.s / u.cm**2 / u.Hz)\n", + " flux = fnu * (const.c.to(u.AA/u.s) / lam**2)\n", + " flux = flux.to(target_unit)\n", + " elif flux.unit == u.W / (u.um * u.m**2):\n", + " flux = flux.to(target_unit)\n", + " \n", + " # Ensure flux is in target unit\n", + " flux = flux.to(target_unit)\n", + " \n", + " # Plot with source name, temperature and instrument in the label\n", + " plt.plot(wavelength, flux, color=colors[i], \n", + " label=f\"{source_name} (T={temp:.1f}K, {instrument}, {regime})\", \n", + " alpha=0.8, linewidth=1.5)\n", + " \n", + " except Exception as e:\n", + " print(f\"Error: {str(e)}\")\n", + "\n", + "# Plot configuration\n", + "plt.xlabel(\"Wavelength (μm)\")\n", + "plt.ylabel(\"Flux (erg / Å s cm²)\")\n", + "plt.title(\"First 10 Spectra from Temperature-Selected Sources\", fontsize=14)\n", + "plt.grid(True, color='lightgray', linestyle='-', linewidth=0.5, alpha=0.5)\n", + "plt.legend(loc='upper right', fontsize=8)\n", + "plt.xlim(5, 10)\n", + "plt.ylim(1e-19, 1e-14)\n", + "\n", + "# Use log scale for y-axis if the data spans multiple orders of magnitude\n", + "plt.yscale('log')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "672d3014", + "metadata": {}, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'Table' object has no attribute 'head'", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mAttributeError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[17]\u001b[39m\u001b[32m, line 22\u001b[39m\n\u001b[32m 12\u001b[39m fig, ax = plt.subplots(figsize=(\u001b[32m12\u001b[39m, \u001b[32m8\u001b[39m))\n\u001b[32m 14\u001b[39m \u001b[38;5;66;03m# # List of spectra to process\u001b[39;00m\n\u001b[32m 15\u001b[39m \u001b[38;5;66;03m# spectra_list = [\u001b[39;00m\n\u001b[32m 16\u001b[39m \u001b[38;5;66;03m# {'data': s0136, 'name': \"SIMP J013656.5+093347.3\"},\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 20\u001b[39m \u001b[38;5;66;03m# ]\u001b[39;00m\n\u001b[32m 21\u001b[39m \u001b[38;5;66;03m# Get the first 10 rows of the dataframe\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m22\u001b[39m first_ten = \u001b[43mlow_temp\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhead\u001b[49m(\u001b[32m50\u001b[39m)\n\u001b[32m 24\u001b[39m \u001b[38;5;66;03m# Create a colormap for different spectra\u001b[39;00m\n\u001b[32m 25\u001b[39m colors = plt.cm.viridis(np.linspace(\u001b[32m0\u001b[39m, \u001b[32m1\u001b[39m, \u001b[38;5;28mlen\u001b[39m(first_ten)))\n", + "\u001b[31mAttributeError\u001b[39m: 'Table' object has no attribute 'head'" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "from specutils import Spectrum\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import astropy.units as u\n", + "\n", + "# Define normalization range\n", + "l1 = 6.2\n", + "l2 = 6.4\n", + "\n", + "# Create a figure\n", + "fig, ax = plt.subplots(figsize=(12, 8))\n", + "\n", + "# # List of spectra to process\n", + "# spectra_list = [\n", + "# {'data': s0136, 'name': \"SIMP J013656.5+093347.3\"},\n", + "# {'data': vhs, 'name': \"VHS J12560183-1257276\"},\n", + "# {'data': {'wavelength': flux_wa, 'flux': flux_fa}, 'name': \"WISE 1049A\"},\n", + "# {'data': {'wavelength': flux_wb, 'flux': flux_fb}, 'name': \"WISE 1049B\"}\n", + "# ]\n", + "# Get the first 10 rows of the dataframe\n", + "first_ten = low_temp.head(50)\n", + "\n", + "# Create a colormap for different spectra\n", + "colors = plt.cm.viridis(np.linspace(0, 1, len(first_ten)))\n", + "\n", + "# Loop through the first 10 spectra and plot them\n", + "for i, (idx, row) in enumerate(first_ten.iterrows()):\n", + " try:\n", + " # Get the spectrum object or wavelength/flux data\n", + " # Extract data\n", + " source_name = row['Source']\n", + " temp = row['Teff (K)']\n", + " url = row['URL']\n", + " instrument = row['Instrument']\n", + " regime = row['Regime']\n", + " \n", + " # Load the spectrum\n", + " spectrum = Spectrum.read(url, format='tabular-fits')\n", + " \n", + "\n", + " # Handle different data formats\n", + " if isinstance(spectrum, Spectrum):\n", + " wavelength = spectrum.spectral_axis\n", + " flux = spectrum.flux\n", + " else:\n", + " wavelength = spectrum['wavelength']\n", + " flux = spectrum['flux']\n", + " \n", + " # Calculate normalization factor in range l1 to l2\n", + " norm_indices = []\n", + " for i in range(len(wavelength.value)):\n", + " if wavelength.value[i] > l1 and wavelength.value[i] < l2:\n", + " norm_indices.append(i)\n", + " \n", + " if norm_indices:\n", + " norm_factor = np.mean(flux.value[norm_indices])\n", + " normalized_flux = flux / norm_factor\n", + " \n", + " # Plot normalized spectrum\n", + " ax.plot(wavelength, normalized_flux, label=name)\n", + " print(f\"Normalized {name} with factor: {norm_factor:.3e}\")\n", + " else:\n", + " print(f\"Warning: No data points in normalization range for {name}\")\n", + " # Plot unnormalized if no points in range\n", + " ax.plot(wavelength, flux, label=f\"{name} (unnormalized)\")\n", + " \n", + " except Exception as e:\n", + " print(f\"Error processing: {str(e)}\")\n", + "\n", + "# Configure plot\n", + "ax.set_xlim(5.5, 10.5)\n", + "ax.set_xlabel('Wavelength (μm)')\n", + "ax.set_ylabel('Normalized Flux')\n", + "ax.set_title('Normalized Spectra (6.2-6.4 μm)')\n", + "ax.legend(loc='upper right')\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f8962a50", + "metadata": {}, + "outputs": [], + "source": [ + "#plot spectra from one reference \n", + "#plot spectra from within a temperature range\n", + "\n", + "#plot count of spectra by instrument\n", + "\n", + "#plot count of spectra by reference\n", + "\n", + "#plot spectra by obs date" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "7246dc6f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 1202 spectra for 357 unique sources\n" + ] + }, + { + "data": { + "text/html": [ + "
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252MASS J13595510-40345821.00NonenirSpeXIRTFBard14Fili152012-03-30 00:00:00.000000https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS...
262MASS J13595510-40345821.00NonenirSpeXIRTFBard14Fili152013-04-25 00:00:00.000000https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS...
272MASS J13595510-40345821.00NoneopticalR-C SpecCTIO 4mReid08.1290Fili152003-04-22 03:14:17.761000https://s3.amazonaws.com/bdnyc/U20543.fits
282MASS J14243909+09171041.00NonenirSpeXIRTFBard14Fili152009-06-29 00:00:00.000000http://academicworks.cuny.edu/context/hc_pubs/...
292MASS J15394189-05204281.00NonenirSpeXIRTFBard14Fili152008-07-14 00:00:00.000000http://academicworks.cuny.edu/context/hc_pubs/...
302MASS J15394189-05204281.00NoneopticalR-C SpecKPNO 4mReid08.1290Fili152004-02-10 00:00:00.000000https://s3.amazonaws.com/bdnyc/u20625.fits
312MASS J21075409-45440641.00evolutionaryopticalR-C SpecCTIO 4mReid08.1290Sang232003-04-20 09:04:53.180000https://s3.amazonaws.com/bdnyc/optical_spectra...
322MASS J23392527+35071651.00atmosphericnirSpeXIRTFBurg10.1142Sang232003-09-04 00:00:00.000000https://s3.amazonaws.com/bdnyc/SpeX/Prism/U210...
332MASS J23392527+35071651.00atmosphericopticalGMOS-NGemini NorthCruz07Sang232004-09-21 00:00:00.000000https://s3.amazonaws.com/bdnyc/optical_spectra...
342MASS J00100009-20311221.01evolutionarynirSpeXIRTFBard14Sang232008-07-14 00:00:00.000000https://s3.amazonaws.com/bdnyc/SpeX/Prism/spex...
352MASS J00100009-20311221.01evolutionaryopticalR-C SpecKPNO 4mCruz07Sang232002-09-25 00:00:00.000000https://s3.amazonaws.com/bdnyc/optical_spectra...
362MASS J00361617+18211041.01NonemirIRSSpitzerSuar22Fili152004-01-06 00:00:00.000000https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0036...
372MASS J00361617+18211041.01NonemirIRSSpitzerCush06.614Fili152004-01-06 02:58:46.222000https://s3.amazonaws.com/bdnyc/0036%2B1821.txt
382MASS J00361617+18211041.01NonemirIRSSpitzerArdi10Fili152006-01-17 00:00:00.000000https://s3.amazonaws.com/bdnyc/IRS/IRS_DimSuns...
392MASS J00361617+18211041.01NonenirSpeXIRTFCruz18Fili152003-08-12 00:00:00.000000https://s3.amazonaws.com/bdnyc/nir_spectra/2M0...
402MASS J00361617+18211041.01NonenirXShooterESO VLTManj16Fili152009-11-07 00:00:00.000000https://bdnyc.s3.amazonaws.com/xshooter/2M0036...
412MASS J00361617+18211041.01NonenirSpeXIRTFRayn09Fili152009-12-01 00:00:00.000000https://s3.amazonaws.com/bdnyc/L3.5_2MASSJ0036...
422MASS J00361617+18211041.01NoneopticalR-C SpecKPNO 4mCruz07Fili152002-09-27 00:00:00.000000https://s3.amazonaws.com/bdnyc/2M0036.fits
432MASS J00361617+18211041.01NoneopticalXShooterESO VLTManj16Fili152009-11-07 00:00:00.000000https://bdnyc.s3.amazonaws.com/xshooter/2M0036...
442MASS J05233822-14030221.01NonemirIRSSpitzerSuar22Fili152005-03-12 00:00:00.000000https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0523...
452MASS J05233822-14030221.01NonemirIRSSpitzerPID3136Fili152005-03-12 05:05:00.500000https://s3.amazonaws.com/bdnyc/0523-1403.txt
462MASS J05233822-14030221.01NonenirSpeXIRTFCruz18Fili152004-11-07 00:00:00.000000https://s3.amazonaws.com/bdnyc/SpeX/Prism/U103...
472MASS J05233822-14030221.01NoneopticalR-C SpecCTIO 4mCruz03Fili152002-01-24 05:04:33.539000https://s3.amazonaws.com/bdnyc/RCspec/U10390.fits
482MASS J06411840-43223291.01NonenirSpeXIRTFBard14Fili152012-12-27 00:00:00.000000https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS...
492MASS J06411840-43223291.01NoneopticalR-C SpecCTIO 4mReid08.1290Fili152003-04-20 00:12:15.073000https://s3.amazonaws.com/bdnyc/U20252.fits
\n", + "" + ], + "text/plain": [ + " Source Radius(Mj) Model Regime Instrument \\\n", + "0 2MASS J00320509+0219017 1.00 evolutionary optical R-C Spec \n", + "1 2MASS J02355993-2331205 1.00 evolutionary mir IRS \n", + "2 2MASS J02355993-2331205 1.00 evolutionary nir SpeX \n", + "3 2MASS J03255322+0425406 1.00 atmospheric nir SpeX \n", + "4 2MASS J04455387-3048204 1.00 None mir IRS \n", + "5 2MASS J04455387-3048204 1.00 None mir IRS \n", + "6 2MASS J04455387-3048204 1.00 None nir SpeX \n", + "7 2MASS J04455387-3048204 1.00 None optical R-C Spec \n", + "8 2MASS J05002100+0330501 1.00 None nir XShooter \n", + "9 2MASS J05002100+0330501 1.00 None nir SpeX \n", + "10 2MASS J05002100+0330501 1.00 None optical R-C Spec \n", + "11 2MASS J05002100+0330501 1.00 None optical XShooter \n", + "12 2MASS J06411840-4322329 1.00 evolutionary nir SpeX \n", + "13 2MASS J06411840-4322329 1.00 evolutionary optical R-C Spec \n", + "14 2MASS J08354256-0819237 1.00 None nir SpeX \n", + "15 2MASS J08354256-0819237 1.00 None optical R-C Spec \n", + "16 2MASS J08354256-0819237 1.00 None optical R-C Spec \n", + "17 2MASS J08472872-1532372 1.00 None nir SpeX \n", + "18 2MASS J08472872-1532372 1.00 None optical R-C Spec \n", + "19 2MASS J10511900+5613086 1.00 evolutionary mir IRS \n", + "20 2MASS J10511900+5613086 1.00 evolutionary optical R-C Spec \n", + "21 2MASS J10584787-1548172 1.00 None nir SpeX \n", + "22 2MASS J10584787-1548172 1.00 None optical LRIS \n", + "23 2MASS J11553952-3727350 1.00 None optical R-C Spec \n", + "24 2MASS J11553952-3727350 1.00 None optical R-C Spec \n", + "25 2MASS J13595510-4034582 1.00 None nir SpeX \n", + "26 2MASS J13595510-4034582 1.00 None nir SpeX \n", + "27 2MASS J13595510-4034582 1.00 None optical R-C Spec \n", + "28 2MASS J14243909+0917104 1.00 None nir SpeX \n", + "29 2MASS J15394189-0520428 1.00 None nir SpeX \n", + "30 2MASS J15394189-0520428 1.00 None optical R-C Spec \n", + "31 2MASS J21075409-4544064 1.00 evolutionary optical R-C Spec \n", + "32 2MASS J23392527+3507165 1.00 atmospheric nir SpeX \n", + "33 2MASS J23392527+3507165 1.00 atmospheric optical GMOS-N \n", + "34 2MASS J00100009-2031122 1.01 evolutionary nir SpeX \n", + "35 2MASS J00100009-2031122 1.01 evolutionary optical R-C Spec \n", + "36 2MASS J00361617+1821104 1.01 None mir IRS \n", + "37 2MASS J00361617+1821104 1.01 None mir IRS \n", + "38 2MASS J00361617+1821104 1.01 None mir IRS \n", + "39 2MASS J00361617+1821104 1.01 None nir SpeX \n", + "40 2MASS J00361617+1821104 1.01 None nir XShooter \n", + "41 2MASS J00361617+1821104 1.01 None nir SpeX \n", + "42 2MASS J00361617+1821104 1.01 None optical R-C Spec \n", + "43 2MASS J00361617+1821104 1.01 None optical XShooter \n", + "44 2MASS J05233822-1403022 1.01 None mir IRS \n", + "45 2MASS J05233822-1403022 1.01 None mir IRS \n", + "46 2MASS J05233822-1403022 1.01 None nir SpeX \n", + "47 2MASS J05233822-1403022 1.01 None optical R-C Spec \n", + "48 2MASS J06411840-4322329 1.01 None nir SpeX \n", + "49 2MASS J06411840-4322329 1.01 None optical R-C Spec \n", + "\n", + " Telescope Spec_Ref Param_Ref Obs_Date \\\n", + "0 KPNO 4m Reid08.1290 Sang23 2003-07-09 00:00:00.000000 \n", + "1 Spitzer PID50367 Sang23 2009-01-19 21:59:42.525000 \n", + "2 IRTF Burg08.579 Sang23 2006-12-23 00:00:00.000000 \n", + "3 IRTF Chiu06 Sang23 2005-08-13 00:00:00.000000 \n", + "4 Spitzer Suar22 Fili15 2005-03-14 00:00:00.000000 \n", + "5 Spitzer PID3136 Fili15 2005-03-14 12:24:05.373000 \n", + "6 IRTF Cruz18 Fili15 2004-11-08 00:00:00.000000 \n", + "7 CTIO 4m Cruz03 Fili15 2002-01-25 04:49:10.093000 \n", + "8 ESO VLT Manj16 Fili15 2010-02-05 00:00:00.000000 \n", + "9 IRTF Bard14 Fili15 2012-12-27 00:00:00.000000 \n", + "10 KPNO 4m Reid08.1290 Fili15 2004-02-11 00:00:00.000000 \n", + "11 ESO VLT Manj16 Fili15 2010-02-05 00:00:00.000000 \n", + "12 IRTF Bard14 Sang23 2012-12-27 00:00:00.000000 \n", + "13 CTIO 4m Reid08.1290 Sang23 2003-04-20 00:12:15.073000 \n", + "14 IRTF Burg10.1142 Fili15 2004-11-08 00:00:00.000000 \n", + "15 CTIO 4m Cruz03 Fili15 2002-01-24 05:59:51.376000 \n", + "16 KPNO 4m Cruz07 Fili15 2004-02-12 00:00:00.000000 \n", + "17 IRTF McEl06 Fili15 2004-11-08 00:00:00.000000 \n", + "18 KPNO 4m Reid08.1290 Fili15 2004-02-12 00:00:00.000000 \n", + "19 Spitzer Suar22 Sang23 2005-04-16 00:00:00.000000 \n", + "20 KPNO 4m Reid08.1290 Sang23 2004-02-10 00:00:00.000000 \n", + "21 IRTF Burg10.1142 Fili15 2005-03-24 00:00:00.000000 \n", + "22 Keck I Kirk99.802 Fili15 1997-12-09 00:00:00.000000 \n", + "23 CTIO 4m Reid08.1290 Fili15 2003-04-23 03:02:39.158000 \n", + "24 CTIO 4m Reid08.1290 Fili15 2006-01-15 07:38:04.793000 \n", + "25 IRTF Bard14 Fili15 2012-03-30 00:00:00.000000 \n", + "26 IRTF Bard14 Fili15 2013-04-25 00:00:00.000000 \n", + "27 CTIO 4m Reid08.1290 Fili15 2003-04-22 03:14:17.761000 \n", + "28 IRTF Bard14 Fili15 2009-06-29 00:00:00.000000 \n", + "29 IRTF Bard14 Fili15 2008-07-14 00:00:00.000000 \n", + "30 KPNO 4m Reid08.1290 Fili15 2004-02-10 00:00:00.000000 \n", + "31 CTIO 4m Reid08.1290 Sang23 2003-04-20 09:04:53.180000 \n", + "32 IRTF Burg10.1142 Sang23 2003-09-04 00:00:00.000000 \n", + "33 Gemini North Cruz07 Sang23 2004-09-21 00:00:00.000000 \n", + "34 IRTF Bard14 Sang23 2008-07-14 00:00:00.000000 \n", + "35 KPNO 4m Cruz07 Sang23 2002-09-25 00:00:00.000000 \n", + "36 Spitzer Suar22 Fili15 2004-01-06 00:00:00.000000 \n", + "37 Spitzer Cush06.614 Fili15 2004-01-06 02:58:46.222000 \n", + "38 Spitzer Ardi10 Fili15 2006-01-17 00:00:00.000000 \n", + "39 IRTF Cruz18 Fili15 2003-08-12 00:00:00.000000 \n", + "40 ESO VLT Manj16 Fili15 2009-11-07 00:00:00.000000 \n", + "41 IRTF Rayn09 Fili15 2009-12-01 00:00:00.000000 \n", + "42 KPNO 4m Cruz07 Fili15 2002-09-27 00:00:00.000000 \n", + "43 ESO VLT Manj16 Fili15 2009-11-07 00:00:00.000000 \n", + "44 Spitzer Suar22 Fili15 2005-03-12 00:00:00.000000 \n", + "45 Spitzer PID3136 Fili15 2005-03-12 05:05:00.500000 \n", + "46 IRTF Cruz18 Fili15 2004-11-07 00:00:00.000000 \n", + "47 CTIO 4m Cruz03 Fili15 2002-01-24 05:04:33.539000 \n", + "48 IRTF Bard14 Fili15 2012-12-27 00:00:00.000000 \n", + "49 CTIO 4m Reid08.1290 Fili15 2003-04-20 00:12:15.073000 \n", + "\n", + " URL \n", + "0 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", + "1 https://s3.amazonaws.com/bdnyc/IRS/GJ1048B.txt \n", + "2 https://s3.amazonaws.com/bdnyc/nir_spectra/U50... \n", + "3 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", + "4 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0445... \n", + "5 https://s3.amazonaws.com/bdnyc/0445-3048.txt \n", + "6 https://s3.amazonaws.com/bdnyc/SpeX/Prism/U103... \n", + "7 https://s3.amazonaws.com/bdnyc/RCspec/U10329.fits \n", + "8 https://bdnyc.s3.amazonaws.com/xshooter/2M0500... \n", + "9 https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS... \n", + "10 https://s3.amazonaws.com/bdnyc/u20197.fits \n", + "11 https://bdnyc.s3.amazonaws.com/xshooter/2M0500... \n", + "12 https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS... \n", + "13 https://s3.amazonaws.com/bdnyc/U20252.fits \n", + "14 https://s3.amazonaws.com/bdnyc/U10742.fits \n", + "15 https://s3.amazonaws.com/bdnyc/U10742_jan02.fits \n", + "16 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", + "17 https://s3.amazonaws.com/bdnyc/U10764.fits \n", + "18 https://s3.amazonaws.com/bdnyc/u10764.fits \n", + "19 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1051... \n", + "20 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", + "21 https://s3.amazonaws.com/bdnyc/U10949.fits \n", + "22 https://s3.amazonaws.com/bdnyc/U10949_lris_091... \n", + "23 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", + "24 https://s3.amazonaws.com/bdnyc/U20431_jan06.fits \n", + "25 https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS... \n", + "26 https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS... \n", + "27 https://s3.amazonaws.com/bdnyc/U20543.fits \n", + "28 http://academicworks.cuny.edu/context/hc_pubs/... \n", + "29 http://academicworks.cuny.edu/context/hc_pubs/... \n", + "30 https://s3.amazonaws.com/bdnyc/u20625.fits \n", + "31 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", + "32 https://s3.amazonaws.com/bdnyc/SpeX/Prism/U210... \n", + "33 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", + "34 https://s3.amazonaws.com/bdnyc/SpeX/Prism/spex... \n", + "35 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", + "36 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0036... \n", + "37 https://s3.amazonaws.com/bdnyc/0036%2B1821.txt \n", + "38 https://s3.amazonaws.com/bdnyc/IRS/IRS_DimSuns... \n", + "39 https://s3.amazonaws.com/bdnyc/nir_spectra/2M0... \n", + "40 https://bdnyc.s3.amazonaws.com/xshooter/2M0036... \n", + "41 https://s3.amazonaws.com/bdnyc/L3.5_2MASSJ0036... \n", + "42 https://s3.amazonaws.com/bdnyc/2M0036.fits \n", + "43 https://bdnyc.s3.amazonaws.com/xshooter/2M0036... \n", + "44 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0523... \n", + "45 https://s3.amazonaws.com/bdnyc/0523-1403.txt \n", + "46 https://s3.amazonaws.com/bdnyc/SpeX/Prism/U103... \n", + "47 https://s3.amazonaws.com/bdnyc/RCspec/U10390.fits \n", + "48 https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS... \n", + "49 https://s3.amazonaws.com/bdnyc/U20252.fits " + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "# Create a query to join ModeledParameters and Spectra tables\n", + "\n", + "query = \"\"\"\n", + "SELECT \n", + " mp.source, \n", + " mp.value as effective_temp, \n", + " mp.model, \n", + " s.regime, \n", + " s.instrument, \n", + " s.telescope, \n", + " s.reference as spec_reference,\n", + " mp.reference as temp_reference,\n", + " s.observation_date,\n", + " s.access_url\n", + "FROM ModeledParameters mp\n", + "JOIN Spectra s ON mp.source = s.source\n", + "WHERE mp.parameter = 'radius' \n", + " AND mp.value BETWEEN 1.0 AND 1.5\n", + "ORDER BY mp.value, mp.source, s.regime\n", + "\"\"\"\n", + "\n", + "# Execute the query\n", + "results = db.sql_query(query)\n", + "\n", + "# Create a pandas DataFrame for better display\n", + "spectra_df = pd.DataFrame(results, \n", + " columns=['Source', 'Radius(Mj)', 'Model', 'Regime', \n", + " 'Instrument', 'Telescope', 'Spec_Ref', \n", + " 'Param_Ref', 'Obs_Date', 'URL'])\n", + "\n", + "# Display some statistics\n", + "print(f\"Found {len(spectra_df)} spectra for {spectra_df['Source'].nunique()} unique sources\")\n", + "\n", + "# Display the first 10 rows with selected columns for readability\n", + "spectra_df.head(50)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "eb2babbb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 2692 sources with both temperature and mass measurements\n", + "Temperature range: 437.0K - 3200.0K\n", + "Mass range: 0.09MJup - 166.44MJup\n" + ] + }, + { + "data": { + "image/png": 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LHMp+yDkKPleh9kUSg1dffXUg6Sp9y+Szk6GXp556auBY2h5bcDWXfB/kGOSzlPg49thjA9vIa8t35c4771TnWz5ziU/pq2YmOM3XNr8/wd8781javnek54aIiEg7BhEREWnhuOOOkzFMrW6yLJLnye2SSy5ptd2//vUv45hjjjESExON+Ph4Y9SoUca8efOM3//+962e95e//EVtv23bNuPhhx9Wz8nIyDDsdruRn59vnHzyycbbb7/d6rUbGxuN119/3fjRj35kDBkyxHA4HMaAAQOMSZMmGffee6+xZ8+eiM/LGWecYVgsFmPTpk0h1/v9fuPTTz81rr32WmPs2LFGQkKCOkY5vquuusrYuHFju+c88sgjRnJysjF79uyI9unOO+8Mec6HDh0acnuPx2M8/vjjxmGHHabeNyUlxZgwYYJx++23G7t37261rXxuHb1upOtM5nKv12s89NBDxpgxY1QsZGZmGhdddJGxefPmDo/5q6++Ms4991wjOztbfb7Dhg0zLrjgAuPbb79ttd3HH3/cpXPj8/mMBQsWGOPGjVOvm5SUZBxyyCHGU089ZVx88cWtXmPLli2B51VXVxszZ8400tPTDafTqZ7/4osvtnv9f/7zn8a0adPUcUocX3jhhUZxcXG78/XBBx+0Okdtb8HvHem5ISIi0o1F/q+3E2NEREREFPvMPmT8z0ciIiLqDhy+R0REREREREREUcekFBERERERERERRZ09+m9JRERERH2JNBkPbtQtjbtFbm5uL+4VERER9XXsKUVEREREnRo2bJiaFa4t/mckERERHQgmpYiIiIiIiIiIKOo4fC8Ev9+PnTt3IiUlJTDLDBERERERERER7Z/UP9XV1WHQoEGwWjtuZ86kVAiSkCooKOjt3SAiIiIiIiIi6rOKi4sxePDgDtczKRWCVEiZJy81NbW3dydmq8mk6WlWVlanWU+ivoaxTbpibJOOGNekK8Y26Yhx3b/U1taqYh8zv9IRJqVCMIfsSUKKSamOS/HkPMn54RBH0gljm3TF2CYdMa5JV4xt0hHjun+y7OezZlKKIg6stLS03t4Nom7H2CZdMbZJR4xr0hVjm3TEuKZQWDNHEWe5a2pqOBU0aYexTbpibJOOGNekK8Y26YhxTaEwKUURkQuJy+XiBYW0w9gmXTG2SUeMa9IVY5t0xLimUDh87wD4fD40Nzejvzapk2N3u91sUheGuLg42Gy23t4NIiIiIiIiopjBpFQEJLNbVlaG6upq9OdzIImpuro6NqkL04ABA5Cbm8vzRURERERERMSkVGTMhFR2djYSExP7ZZLBTEpJlVR/PP6unqvGxkZUVFSox3l5eb29S9QJieekpCTGNWmHsU06YlyTrhjbpCPGNYXCpFQEQ/bMhFRmZmZv7w71EQkJCepeElMSOxzKF7vkL8mUlJTe3g2ibsfYJh0xrklXjG3SEeOaQmEzoC4ye0hJhVR/r/7xer1sUtcFZsz01z5kfYXEdFVVFWObtMPYJh0xrklXjG3SEeOaQmFSKkIsOWy5qFD4GDN9J649Hg/jm7TD2CYdMa5JV4xt0hHjmkJhUoqIiIiIiIiIiKKOSSkiIiIiIiIiIoo6JqU0sGjRIhx//PFqeNiYMWPUn4866ij155///Odwu91hv9aePXtwxhlnqOdPmTIFjz76aIfbysx7RLqR71FqaiqHW5J2GNukI8Y16YqxTTpiXFMonH1PA4cddhg++eQT9eWeN28eLr30UrV8586dmDBhApKTk3H//feH9Vq/+93vUFdXhy+//FI1ofv73/8ecjt5L84gRzqS2O7vExmQnhjbpCPGNemKsU06YlxTKCx10digQYNU1dR//vOfsJ+zdetWDBs2TP05IyMDl112WcjtpDmdzCLHJnWkG7/fj8rKSnVPpBPGNumIcU26YmyTjhjXFAqTUpqTxFFweeS///1vVVl19NFHqyF6f/zjHwPrrrjiCrX+vffeU8mshx56SC0vKyvDBRdcgEMOOQTHHHMMLrnkElVFJd544w1MnjxZvce//vUvNfRPkmFnn312l577zjvv4Mwzz8RBBx2EG264odUxeL1eVQEmVV/HHXccDj30UPzmN78JrK+vr8eVV16phhvKennv7du39/CZJZ1JzBHpiLFNOmJck64Y26QjxjW1xaSUxpYvX46PPvpIJWzE6tWrcf755+PPf/4zPv/8c/zjH//Afffdh4ULF6r1Tz/9NE499VR1k+GAkggS5513HgoLC/Hdd9/hf//7HxISEnDRRRepdfJ6ZoLo22+/xT//+U989tlnapuOnjtjxox2z12zZo3any+++ELt38cffxw4jjvuuAMffPABvv76a3z66adYsGAB7rnnnsD6q666Cg0NDVi8eLFaf/jhh+O0006Dz+eL0pkmIiIiIiIioq5iUkozUt0kVU6SCJLk0ttvv62SNuLXv/41TjjhBEyaNEk9HjhwIM455xw8+eSTHb6eJIekv9TNN98cWCZJrvfffx9FRUWttjV7WY0cOVIlurryXDNRlZ2djXHjxmHZsmXqscvlUkmoa6+9FklJSWqZVHn97Gc/U3/evHkzXnnlFdx0002BxutyvJLkksQaEREREREREcUmNjrXjNnoXJqVS3LqD3/4A04++WS1btWqVWo4nSw3VVdXw+l0dvh68hxJ9khVU3DJ5dChQ1FRUYHRo0cHlg8ePDjs55aWlqrEmUmG/JlSUlJQW1ur/rxp0yY1e6AkuoLdddddgeov6WslswzGxcUF1st77Nq1K+zzRmSS4aTp6emcFYS0w9gmHTGuSVeMbdIR45pCYVJKU5LYefTRR1Vl1JIlSzB16lS1/KSTTsJzzz3X5deTYYD7m22vo/Vdfa5cpLraQP3FF1/E8OHDu/QcolAk/uLj43t7N4i6HWObdMS4Jl0xtklHjGsKhcP3NCYVUdOmTcMjjzyiHh988MFYv359u2qm4P5MbclzZHaEjRs3tlp+9dVXq6qrzpJHHT33mmuuwe7du8M6BqmQkkouGaYXTI6psbER48ePV4/bHpf0oVq3bl1Y70EUTGK2vLycs4KQdhjbpCPGNemKsU06YlxTKExKaW727Nl4/fXXUVxcjLlz56qqKenpZM7Md/vtt6uhbh2RSiuZpe/+++8PXDzk9SQJlJmZ2el7d/RcSRbt77kmaYwuxyDDECUJJWR2wLfeeguJiYkYMWKE6kcl/bJkmJ+QPlZ/+9vf2g35IwpXVyv1iPoKxjbpiHFNumJsk44Y19QWk1IaWLRoUaBPlDQ6v+KKKwLrfvSjHyEnJ0f1lXr11VfV7Hi33norDjvsMJU0OvbYY3HJJZeobeV5kvCRm7yeWX305ptvqgSWVD7JcyThI83FhWx74403qj/Lc954441W+xbqubIfoZ5bVVWFyy67TDU5/+tf/4qHH35YrZNKLnmu7PNxxx2nGrOb7y/+9Kc/4aCDDsLkyZPVdnIO/v73v8Nu5+hUIiIiIiIiolhlMZiqbEeabKelpaGmpgapqamt1kk1zpYtW1T/os4ahOtOwkaalkvih43qwsPY6Rukqk+a+MtMkOaMjkQ6YGyTjhjXpCvGNnXXb7ampibVxykWfrP1l7iOtfMei3mVYCwloYjtr3k5UV8kf3HI8NL+/BcI6YmxTTpiXJOuGNt0IAkRadny0rMLUVJUCqthhd/iR35hHmbOmqEmwOqtuNI5rmP5vMc6JqUoIuYXil8s0o3EtCRcGdukG8Y26YhxTbpibFMkpDrnjrl3YseycuQ5h2CUY0JgnavIhQVznkD+5GzcM//uXpkFT9e4jvXzHuv0rZmjqAzf4+hP0o1ZVsxZQUg3jG3SEeOadMXYpq6S32WSGKlZ4caI1NFIcCS0Wi+Ph6eOQvUKl9quN37H6RjXfeG8xzompYiIiIiIiIj6MBk6JpU6Wcm5nW6XnZyHHcsqsHTp0qjtm8543g8ck1JEREREREREfZj0MpKhY+HIcxbgpWcW9vg+9Qc87weOSSkiIiIiIiKiPkqGhElz7bZDxzoi2xVvKuFQsgPE8949mJSiiEhzOrvdrl2TOiKZnlb3aWqpf2Jsk44Y16QrxjZ1tdG2zPbWFTbY1POiSbe47ivnPdbpEQ0UdZLdNW9EOpGY9vl8jG3SDmObdMS4Jl0xtqkrZEY3v6VrzcN98EV9Jjjd4rqvnPdYx6RUL5Ivo9vt7rNfSrmgEOlGvo+7d+/us99Loo4wtklHjGvSFWObukJGr+QX5sHlcYW1vWxXMDI/6qNedIvrvnLeY529t3egv5EvoHTol4ZoMv5Uyv0kuyrBPHPWDEydOrVHglQSSPPnz8fbb7+NxMREeL1eVTZ5wgkn4O6770a0yPv+9a9/xUsvvaSOs6amBlOmTMFDDz2EgQMHqm2knPG+++7Dxx9/rLLIVVVVGDp0KB555BGMHDkyavtKRERERETUF8hvycfmPI4RjtH73bbUXYw5l18flf3SHc/7gWNSKook2XLH3DvVlJHSoX+UY0JgnavIhQVznkD+5GzcM//ubi/pkyTPm2++ic8//xwpKSlq2YsvvohLL700qkmpsrIy3HDDDfjmm28wceJEdU5OP/10nH/++fjkk0/UNnv27MEzzzyjpsvMycmB3+/H9OnT1e27776L2r4SERERERH1BVLcMHhyDipWlCI7Oa/D7SrqSzF4crYqDKADx/N+4Dh8L4oVUpKQqlnhxojU0e069Mvj4amjUL3Cpbbr7pLGv//97/j+978fSEiJH//4xzjssMMQTQ6HA7NmzVIJKSHJt2uuuQaffvopSktL1bKMjAy8++67KiElpKLrmGOOwaZNm6K6r9R/saSWdMXYJh0xrklXjG3qarxIccOAiQkoql3fbkiZPN5cu0Gtl+16K750i+u+ct5jGZNSUSJD9qRCKis5t9PtJLu6Y1mFqhLq7mSQJH6kh1WwL7/8MlCddNlll6kk1XHHHaeSQF988UVgu8cffxxjxozBsGHD1PA7qW4aO3asGhLYthJK1o0aNQonn3xyYJje5MmT8cYbb6jZFp544olWz3E6nerenIVA9jU4g1xSUoLnnnsOP//5z7v1nBCFIklQSYjqMisIkYmxTTpiXJOuGNsUCfkH/4cWPIibH7sBRmEj1jetwKam1epeHs957Hq1vrcabesa17F+3mMdh+9FifSQkiF74chzFuClZxaqUsDuctVVV+Hyyy9XiaUrrrhCDZeTPwcnftavX6+SVHa7Hf/73/9w1llnqeqkAQMG4Prrr0dycrKqapIk07/+9S8sX75c7eMFF1yAwsJC9ToyHFCSTOvWrVMXGzOR9Jvf/AbHH398yH376quvcOihh6qEVzDZpzPOOANr1qzBnDlzojrMkPovqVL0eDwqOcp/ySCdMLZJR4xr0hVjmyIl8SK/0eQmcST/8C/JkFiII53jOpbPe6zTK0UZoyQopal52yF7HZHtijeVdOsQPhkyJ0P48vPzcfvtt6sqpyOOOEIln8RBBx2Et956SyWkhFRKxcXFqd5PbY9l5syZ6s/jx49XCasVK1aox5LU+s9//qMSUWb2+2c/+1mn+1VZWan6R0klVluyr1JhVlRUhPfeew9XXnllN50Noo5JjEvloC6zghCZGNukI8Y16YqxTd1BEiJSMBAriZH+Etexdt5jHZNSUSBZUpllrytssAWGs3WXM888Uw3J2759Ox5++GHs2LED//d//6eSSZKAkqF2xx57rLpJVZNcMGQ4XrCsrKxA4kpIj6ra2lr1Z6mOEiNGjAisHzJkSKcz8c2YMUM1Ye+st5Ukp2R2vqeffhqrV68+oHNARERERERERLGBw/eiQMr2/BZ/l57jg69bx5xKcik3t6WfVUFBAW6++WZcdNFFasjcv//9b/zjH//A/fffr2a3GzlypNpO1rXNYttstlaPJfvbWaa7o+ywzKh3ySWX4KSTTlLDCYP5fL5272UONZShfFKhRURERERERER9GyulokASM/mFee068XdEtisYmd+t5X7Tp09vV/U0aNAg1SdKbp999hmmTZsWSEgJGe/bFWbiaPPmzYFlUpUVynXXXaeqqObOnasef/jhh4HnvfDCC1iwYEGr7c2Z+WSfiXpacDUgkU4Y26QjxjXpirFNOmJcU1tMSkXJzFkzUOoOnaBpq9RdjJmXz+j2fZBKKBkyZ5JZ9KRi6fvf/z7GjRunekPt2rVLrZOG52YiKBRJmMmQv2CjR49Wr/Xb3/5Wva7405/+1O658+bNU0P9zjvvPFWZJbfXXnutVQLr2WefVf2mhMwYeO+99+Lggw9WDdGJepL0Qxs4cKB2s4IQMbZJR4xr0hVjm3TEuKZQmKaMEunCP3hyDipWlCI7Oa/D7SrqSzF4cjamTJnSre9/00034fnnn8dRRx2FxMRE1a9KmpS///77ajjfbbfdhm3btuGQQw7BxIkTVcWUDPeTXk4yjE6G1MmfpdrqlFNOUQ3NTzvtNPXY3OYnP/mJSnRddtllqmpKekvJbH3CTGBJT6j58+erP7dNMMlwQiF9rqTB+cknn6x6VtXX16shezLjn8zUQNSTZDiqy+VCQkICmxOSVhjbpCPGNemKsU06YlxTKBZD99b3EZDG3WlpaaipqUFqamqrdVK1s2XLFgwfPlx11O8KSQTdMfdOFC8rxyDnkFaz8cmQPamQkoTUPfPv7tZ+Uj1BwkaqrqT8MviCIpVW0gzdtHPnTtWoXJqqy31/diCxQ9EjVX4VFRXIzs7mv+KQVhjbpCPGNemKsU06Ylz3L7Wd5FWCMRKiSBJNDy14EDc/dgOMwkasb1qBTU2r1b08nvPY9Wp9rCekOiOVUZ9++mng8RNPPKFm8uvvCSkiIiIiIiIiao3D96JMqopkKJ/cpNpIqqckCaVL+eJZZ52lZvaT5ulybEOHDsXChQt7e7eIiIiIiIiIKMYwKdWLJBHVl4dxhUqkSV8puRH15biW3mW6JIqJTIxt0hHjmnTF2CYdMa4pFCalKCJyIeF0nqRrbGdkZPT2bhB1O8Y26YhxTbpibJOOGNcUCntKUURk6KHMyMc++aQbiem6ujrGNmmHsU06YlyTrhjbpCPGNYXCpBQd0OwJRLqRvyQbGhr4lyVph7FNOmJck64Y26QjxjWFwqQUERERERERERFFHZNSREREREREREQUdUxK9SIpW3S73X22fJGzJpCOJK4TEhIY36QdxjbpiHFNumJsk44Y1xQKk1JRJgmoxYsX46brbsb0036My86+St3LY1neUwmqRYsW4fjjj1cXgDFjxqg/B9+cTqfaburUqXjzzTfVn1999VVMnjy53UVDtnnrrbfU7HvmOukv9dhjj6mLzCeffNLu/e+66y71WsHvee655/bIsRIdCInptLQ0/mVJ2mFsk44Y16QrxjbpiHFNodhDLqUe0dTUhDvm3okdyyqQ5yzAKMfEwDpXUSMW3Pwk8idl4Z75dyM+Pr5b3/uwww5TySK5AMybNw+XXnppq/XDhg1T96NGjQpM03nhhRciJycHJ5xwQqttZZv09HR4vV7YbDZUV1fj/PPPR2Fhoar86shvfvMblYwiimWSGK6trUVqair/wiStMLZJR4xr0hVjm3TEuKZQWCkVxS+gJKRqVjRhROpoJDgSW62Xx8NTRqF6RUviKtpD+p577jl1/8orr+w3cWRuY+6jzKAwf/583HrrrVHZV6KeJHHtcrn67LBaoo4wtklHjGvSFWObdMS4plCYlIqSJUuWqAqprOTcTrfLTs5V2y1dujQq+yXVU1I1ddxxx+Hiiy9Gbm5uuyqqYOY2l112WWDZ4MGDccghh0Rlf4mIiIiIiIhID0xKRclLzy5UQ/bCIdu99MxCRNvzzz+PU0899YC36cizzz6rKqy+973v4ZJLLkFRUVGEe0pEREREREREfR2TUlEg5YklRaXthux1RLYrLirpsbLGhx56KNBs/MYbb4z4dazW8MNnyJAhmDJlCj788EP873//w/DhwzFt2jSUlJRE/P5EPUHGtyclJXGcO2mHsU06YlyTrhjbpCPGNYXCpFSUGpxbYevSc2ywqef1BGl0LsP25CbNxyMlTc7DvaDMmjULs2fPVjP2STLr9ttvVzP+PfnkkxG/P1FPkJhOSUnhX5akHcY26YhxTbpibJOOGNcUCpNSUSAz6fnh69JzfPB1+wx8oUi11F//+teIniuz70VazSUJLZnxj0P4KNZITFdVVbEBI2mHsU06YlyTrhjbpCPGNYXCpFQUSCY4vzAPLk9jWNvLdgWF+TGfQe7KxeTnP/95u2U7d+5Uw/qIYi2uPR4P/7Ik7TC2SUeMa9IVY5t0xLimUJiUipKZs2ag1F0c1ray3czLZ0An//jHP9TN9PTTT2PXrl1qWB8RERERERER9T9MSkXJ1KlTMXhyNirqyzrdTtbLdtIUvDstWrRIDdUzG52fdtpp7ba5+OKL8d5776nbFVdcgVdffTXQCF2eu2XLllbb/PSnPw0899xzz8X06dPVn+U5sr3Pt2/I4v3336/6V8nyo446Ci+99JJqej5mzJhuPU4iIiIiIiIi6hssBmvn2qmtrUVaWhpqamqQmpraap3b7VbJGZk9Thp1d4U0Lr9j7p0oXlaBQc6CVrPxyZA9qZCShNQ98++OSj+pAyFh4/f7VdPyWB9mGCsOJHYourHtcrmQkJDA2CatMLZJR4xr0hVjm3TEuO5fajvJqwSzR3Wv+jlJND204EEsXboULz2zEOuLNqpZ9qSpufSQmnP59apCqi98QWUfpVk5kW4kthMT9yWMiXTB2CYdMa5JV4xt0hHjmkJhUqoXvogylE9ukimW6ilJVvWFRFQw2XeZfc9ut/e5fSfqjFQAyqwgGRkZqhKQSBeMbdIR45p0xdgmHTGuKRQmpXqRJHM4jIso9kjClUhHjG3SEeOadMXYJh0xrqktpieJiIiIiIiIiCjqmJQiIiIiIiIiIqKoY1KKIsZG56TrsNr09HT2SiPtMLZJR4xr0hVjm3TEuKZQ2FOKIiIXEl5MSEcS1zL5AJFuGNukI8Y16YqxTTpiXFMorJSiiGffa25uVvdEus0KUl5eru6JdMLYJh0xrklXjG3SEeOaQmFSqhdJQsftdjOxQxRj+J0kXTG2SUeMa9IVY5t0xLimtpiU6oUv4eLFizHnul9g+mk/xmVnX6Xu5bEs76kv6aJFi3D88cerkskxY8bgzjvvPODX/Nvf/oYpU6a0G8Y3depUvPnmm4HHH374Ic4880yceOKJOOKII3DqqadixYoVraYFffrpp3HCCSeobaZNm4YrrrgClZWVB7yPRERERERERBSb2FMqipqamnDH3DtRsnwXchMKMMo5KbDOtaURC25+EvmTsnDP/Lu7faztYYcdhk8++UQlkObNm4dLL730gF/zvPPOQ05OjkokBRs1ahQyMjICj6+++mrMnTsXV155pXr8q1/9CieddBJWr16NrKwslJWV4YYbbsA333yDiRMnqvN0+umn4/zzz1f7TERERERERET6YaVUlEgFlCSkalZ5MDxtNBIcia3Wy2NZXr3Ko7brC2WNHc2+98orr6iqLNMhhxyCyy+/PPD4xhtvxK5du1QFlXA4HJg1a5ZKSAlJyF1zzTX49NNPUVpa2uPHQRRMEreZmZls5E/aYWyTjhjXpCvGNumIcU2hMCkVJUuWLFEVUlnJuZ1ul52cq7ZbunQpesMLL7yAyZMn4/DDD1dD815//fVW67/66itMmjRJJZrOOeccbNy4sdX6iy++GLm5ua0qsSRJZbXuCzWn06nupSJKZGdn44knnmj1Om23IYoW+UtSEq78y5J0w9gmHTGuSVeMbdIR45pCYVIqSl5+9hU1ZC8cst1LzyxEtL3//vu49tpr8eqrr6qhdM8//7xKMn355ZdqfX19Pc444wy17LvvvlPrX3755VavIcukZ1RnJLGVkJCAH/7wh51uc+ihh2LYsGHddHRE4ZHZQCoqKjgrCGmHsU06YlyTrhjbpCPGNYXCpFQUyFC8HUU72w3Z64hsV1xUEvUhfPfffz/OPvtsjB49Wj2eMGECvv/97+OBBx5QjyUBJYkpSVyJxMRE/PjHP+7Se8gx3Xfffeq9Bg4cGHIbaXD+zDPP4PHHHz/gYyIiIiIiIiKi2MSkVBTIEDQrQvdf6ogN9qgPXVu1ahVGjhzZapk8Xrlypfrz2rVrkZeXp6qcTEOGDOnSe9x1113qObNnzw65XmbimzFjhkpcSXN2IiIiIiIiItITZ9+LAmnc7YevS8/xwdvtM/D1hK6MB/7jH/+oemW9+eabIddLGecll1yiZua74oorunEviYiIiIiIiCjWsFIqSombwYWD4PI0hrW9bFdQmB/VBnDTp0/HwQcfjE2bNrVaXlRUpIbxibFjx6rZ8Fwul9o3u92O4uLisF5/4cKFeOONN/Daa6+p523evDkw+57puuuuU1VUc+fOVY9lvWxHFE3SlF+a7wc35yfSAWObdMS4Jl0xtklHjGsKhdEQJRfNmo4yV3gJHNlu5uUzEE1ff/01brvtNvz9738PzKi3evVqvPfee7j11lvV44suugjJycl48sknVW+oxsZG1ftpf9555x3MmzdPvb4MEZQm6R988AE+//zzwDayft26dTjvvPPUerlJAmv79u09eNRE7Uls+3y+qPd0I+ppjG3SEeOadMXYJh0xrikUDt+LkqlTpyJ/UhYqVpUhOzm3w+0q6svUdlOmTOn2pNONN96o/nzvvfeqoXRtnXLKKaq5+AUXXKCGDno8Hjz33HM46qij1HpJSP3zn//E1VdfjZdeegk5OTk4//zz1ex8xx9/PJ5++mncc889ahY/IUPwZNlll12mmpefeOKJrd7vzjvvDCS/5s+fr/4sM+4Fk0QYUTTJX5K7d+9W/4rD6WpJJ4xt0hHjmnTF2CYdMa4pFIvBNGU7tbW1SEtLQ01NDVJTU1utc7vd2LJlC4YPHw6n09ml15XG5XfMvRM7llUgL3FIq9n4ZMieVEhJQuqe+XfHfD8pCRtpSi5D8XhBCc+BxA5Ff6palhaTbhjbpCPGNemKsU06Ylz3L7Wd5FWCsVIqiiTR9NCCB1Wz75eeWYj1RRvULHvS1Fx6SN10+XWqQopJHiIiIiIiIiLSXcwlpWTI2B133IFHHnlENd0eNmxYYN2ll16q+g4FV5mMGzdO9TgKfv4vfvELfPHFF6qa53vf+556LYfDgVggCScZyic32T+pnpJkFRNRRLGD30fSFWObdMS4Jl0xtklHjGuK6aTU1q1bMWPGDIwaNUo1QAvllVdeaZWoauvmm2/Ghg0b8M0336jHp556qlr2u9/9DrH4heyrw7hk3+Pi4np7N4i6nZQSS780It0wtklHjGvSFWObdMS4plBiaiBnfX09XnjhBdUYOxLSNE0aeM+ePRs2m03d5M+yrKqqqtv3tz+TKi8ZE8yWZKQbs4KRsU26YWyTjhjXpCvGNumIcU0xn5Q6+OCDMXLkyIif/9lnn6G5uRmHHHJIYJnM5ibLPv30027aSzJ1VM1G1JfJX5J79uzhX5akHcY26YhxTbpibJOOGNcU88P3wvHggw9i/fr1aua3SZMmqf5TZgng5s2b1WxwmZmZge2zsrJUxZTMetYRydbKLbhLvJBKILmZw9XkJl+g4Ju5LtQXqzuW9+RrH+jy4HtdjinS5eGeL7PCLPhx8LbBMXagy833iXS5lNe2fe2uLu+Lx2RWAMq9Lse0v+U8pv5xTGZsm9vocEyR7juPSZ9j2t81uy8eU6TLeUx6HVPba7YOxxTuch6TvscU6TU7lo8p0n3vD8fkb/NaWiSlpNfU0KFD8Yc//EFV6VxzzTU44ogjsHLlSiQnJ6OxsTFkQ3NZJus6S3Tdfffd7Zbv2rULbrdb/TkhIUFNZyhDDOXkSlJMbnLSJekl+xP8gZjLZZtgskw+7FDLRdvlkmST121blST9nDpaHpxME/J+8jodLe9o3zs7puD3ltfQ4Zja7nt3H5M8R/ZVpsRMTEyEy+UKJEDNOM3IyFAx1tDQEFhuxp5sK88xJSUlISUlRf1rgzT4N8l0m/L6MmQ1eD/T09NVU32J6+BzIElcOS6ZnjWYTNUq+y3DYoPPrySB5f3kfYOPf+DAgVock/kZyfNlex2OScfPicfU9WMyY1uWyd+ZOhyTjp8Tj6lrx2TGtcjLy9PimHT8nHhMXT8mM7blmGT/dTgmHT8nHlPXjsmMa1mfm5urxTHp+Dl11zHV1dUhHBajbWorBnzyySc44YQTVHVTZ03N5UDlpErPqCuvvBKPPvoo5s2bp4brBZOT8+tf/xo33XRT2JVSBQUF6gTLhxmcOZQTLPs1fPjwQJNyMzPZVncs78nXPtDlEtxybnU6pkiXh7OtJDjNmJYLhM5Z8b58TPIc+e7LtcVMNvb1Y9rfch5T/zgmM7blP3TkPzp0OKZI953HpM8x7e+a3RePKdLlPCa9jqntNVuHYwp3OY9J32OK9Jody8cU6b73h2Oq3ZuvkUSkmVfp85VSbcmByfC8oqIi9XjEiBEqUSJZPHMIn2QAJbMn6zoimUK5tSUnVG6hPizzFrw8lM6WywclyTB5b3O7UNtH8trRWN529r2uvE5v73tPLN/ftmbMmDHVNoaCt++O5W1jN5LlPb2PsXhM8hy5ruh0TNFezmOKzWNqG9s6HNOB7HtHy3lMfeuYon3N5ufEY+qta7YOxxTuch6TvscUK9dsfk6IyjF19B7t3hN9yM9//vNWjyWhIwmoIUOGqMfHHnusSpQsXrw4sM13332nlsm6WCCJKNm/Odf9AtNP/wkuO/sqdS+PZXnbTGN32bp1KwYMGIDjjz++1e2www5TAfO9730PV1xxhSqjvPTSS8M6jrZD4bpKyv2ksk2y5LJ/bUm5n3zmRx55pNrP73//+4EEZGckI3v55ZeH/IK0df7557fbTkoc77rrLhx99NHqHE2ZMgUPPPBAq7JH2d+rr75anTfZRpr0X3/99Z0OE6W+QWJaPsee+i4S9RbGNumIcU26YmyTjhjX1OcrpWSY3k9+8pPA7Hr33XefKge74IIL1GOpjpJEwW9+8xucdNJJapn8WZZJ6WtvkyTaHXPvQsnyCuQmDMGo+EmBda4tjVjwiz8gf2IW7pl/V8jKrQM1efJkNTQymCR9li5dit///veYOnVqWAkpk9mgLhKS1JkxY4bqE9bRLH6yL5JgklkVJbH40EMPqcTU6tWrOzw/ciySXCssLNzvPrzzzjv46KOP2i3/17/+hddeew1fffWVGrdbUlKizo0k0SRZJb7++mt1DHI+Zd+kJFGSVzKk85FHHuny+aDYYZaaymcZTmKTqK9gbJOOGNekK8Y26YhxTTFfKSU/+qXq5MYbb1SPp0+fHkg4CfmxP3v2bNVv6vDDD1cJiI8//rhVCeDDDz+MkSNH4tBDD1U3SXrIslj4AkpCqmaVB8PTxiDBkdhqvTwenjoa1ataElfdnT2WpJxU8gSTpMvjjz+OOXPmqKRLNEnjthdeeAGXXXZZyPVlZWV48803ce211waGCUoCTWZYlIRRZ4m/d999F6effnqn7y9N42677TZVqdWWJDdvvvlmlZAS+fn5Kg4XLlwY2Ebi9Kmnngrsm2wrSalNmzaFeQaIiIiIiIiI+reYqpSSTvNtK3mC3XDDDerWGamg+d3vfodYs2TJElUhJQmpzmQn52HLivUq4dadiSLpvyVD1YITgDLETRJ4ZvVPcAXU3LlzVTVQeXk5fvvb36oKJSFD2CQxKOukWbckgW699VaceeaZav0bb7yhKtiWL1+Of/7zn/jTn/6EtWvX4tRTT1XVWCYZ7iZ27NgRcn+3b9+u7qWrf9sZB6RySirmQpHZGMNx++23q9kbzWb1wU477bR2y2S74Gb4Mswx2DfffIMvvvgCf/nLX8J6fyIiIiIiIqL+LqYqpXT28rOvqCF74ch1FuClZ/dV5fQESRytW7cOzzzzTLvEjAxrkwqmTz/9VFVXXXXVVYF1MoOcVCL997//VUPfnnvuOVx88cWBCiFJfMmQSbFmzRr84x//UMmaP//5z6qqLVzmrItmcsqsbpJhch0lssIlCb9Fixa1Oq79kaqyH/3oR+2Wy7mQajypzJKqs1AJLepbpJRYEuQsKSbdMLZJR4xr0hVjm3TEuKZQmJSKAhmKt2Nzabshex2R7Yo37eyxBnArV65U/ZlkaJw0825LhqGNGdNS0SUN4iUxJFN3CqmOkmRVSkqKalA+evRojB07NmRvJukZJbKzszFu3DgsW7Ys7H2U51x44YV47LHHVCJKzsU999yj3rOjHlThkCowOe4nn3wy7H5YkoCTRNivfvWrdut+8IMfYMOGDaoqTHqXyZBE6tvkL0kZ7sq/LEk3jG3SEeOadMXYJh0xrikUJqWiQIZ9WY2unWobbK2Gi3UXSejIsL28vDyVmApl0KBBrYb9CWlIJySRI0maE088MTA7nQzPkx5Qnb2OJLHM1wiXDIWThvVSfSR9xGQonyTJpLl9pGQIoez3xIkTw9pempxLEuvvf/974FyEctRRR+GnP/2p6s9FfZskQGXmR84KQrphbJOOGNekK8Y26YhxTTHfU0pX0ufKb/F36Tk++HpkBr4FCxbg22+/xb///W8kJyeH3MZms7VbZl44Xn/9dTW7nVRLSSN5qVyShFGoC0vw60g2vKsXH+kh9cADD7Ra9uyzz6pEWKTef/99VfVlvoaZTJPHcj5k6KJp9+7dOPvss1VDc5m5MFhzc7M69uAsv1SX7dq1S92Cm+9T3yJxKkNFk5KS+K84pBXGNumIcU26YmyTjhjXFAorpaJAvnCDR+TB5WkMa3vZrmDkoG7/ohYVFeGOO+5QPaCk8Xiwl19+WQ2T2x9pMj5kyBAceeSRrZqm9wRppi49rEyS7Fm/fj3OPffciF9TekB9+eWXqqG+3MzZ9+TPwQkpyeBL8/Y777wTxx13nFomTdtNV155JRYvXtzqtUtLS1V/LilJJSIiIiIiIqLOMSkVJRfNmo4y176m3Z0pcxdj5qyWfkzdmZWWRIoMQZNqqbYk4WL2jeqM9IaS/krSR8lMdMlMez3VjP21115rNSOgVGnJPgiXy6Wqk6SSqTtJIkwSUpJ4k1n2vvvuO3Vr+z5yHqViyhzmJ32qJOEXqtKMiIiIiIiIiFrj8L0omTp1KvInZaNiVSmyk/M63K6ivhT5E7NUs/HuJFVAMvudDIkzkzrBqqqqcOONN6rqJPHLX/5S9Z665JJL1OPp06erGfQksSWN0k8++WTV4LygoAAjR47EX//6V1WGOWHChED1kQyJe/PNN1WfJWlyvnXrVrXNL37xC1Vddcopp6C6ujrw+vJaMjzQJBVK0tzcTAbJewY3G5dEW2NjY6veW9KUXRJDwcPyZJ+kl1Rbsi54O6kek32XGQnNSqpHH3005PmUpubShF16Sck5lX5ZP/nJT3DLLbdE9PlQ7JAKRflMWVJMumFsk44Y16QrxjbpiHFNoVgMdhlrRxIMaWlpajhb2+bWUkWzZcsWDB8+XA3V6gpJntwx9y7sWF6BvIQhrWbjkyF7UiElCal75t/VI/2kqHcdSOwQERERERER6ZBXCcZKqSiSRNNDCx7A0qVL8dKzC7F+0wY1y540NZceUjfNulZVSPWFzLHkMmUmPxmq1hf2l6grsS0XULlwMrZJJ4xt0hHjmnTF2CYdMa4pFCaloky+fDKUT27ypZTqKUlW9cUvJYvsSEcS19KvLCUlpU9+L4k6wtgmHTGuSVeMbdIR45pCYVKqF8kXkcO4iIiIiIiIiKg/4ux7EWKVEHUVY4aIiIiIiIhoHyaluiguLk7dy6xv/Z3VyvDpCjNmzBii2K1glFkiWVJMumFsk44Y16QrxjbpiHFNoXD4XhdJY+8BAwagoqJCPU5MTOSXivZbISUJKYkZiR2JIYpd8n2Wce5EumFsk44Y16QrxjbpiHFNoTApFYHc3Fx1byam+iu/389qqS6QhJQZOxTbScQ9e/YgPT2dCWfSCmObdMS4Jl0xtklHjGsKhUmpCMgXKC8vD9nZ2WhubkZ/TUjt3r0bmZmZTEyFQYbssUKq7/xl6fF41D3/siSdMLZJR4xr0hVjm3TEuKZQmJQ6AJJk6K+JBklKSaJFZg9kUoqIiIiIiIiIuorZBCIiIiIiIiIiijompSgiUm6ZmprKskvSDmObdMXYJh0xrklXjG3SEeOaQuHwPYqIXEhk5kEi3TC2SVeMbdIR45p0xdgmHTGuKRRWSlHEPaUqKyvVPZFOGNukK8Y26YhxTbpibJOOGNcUCpNSFDGv19vbu0DUIxjbpCvGNumIcU26YmyTjhjX1BaTUkREREREREREFHVMShERERERERERUdQxKUURN6lLT0/nzAmkHcY26YqxTTpiXJOuGNukI8Y1hcLZ9ygiciGJj4/v7d0g6naMbdIVY5t0xLgmXTG2SUeMawqFlVIUEZkxoby8nDMnkHYY26QrxjbpiHFNumJsk44Y1xQKk1IUMcMwensXiHoEY5t0xdgmHTGuSVeMbdIR45raYlKKiIiIiIiIiIiijkkpIiIiIiIiIiKKOialKOImdZmZmZw5gbTD2CZdMbZJR4xr0hVjm3TEuKZQmJSiiMiFxGaz8YJC2mFsk64Y26QjxjXpirFNOmJcUyhMSlFEZMaEiooKzpxA2mFsk64Y26QjxjXpirFNOmJcUyhMShERERERERERUdQxKUVERERERERERFHHpBQREREREREREUWdxTAMI/pvG9tqa2uRlpaGmpoapKam9vbuxCwZC2y1Mq9J+mFsk64Y26QjxjXpirFNOmJc9x+1YeZVGA0UEcll+nw+dU+kE8Y26YqxTTpiXJOuGNukI8Y1hcKkFEVELiS7d+/mBYW0w9gmXTG2SUeMa9IVY5t0xLimUJiUIiIiIiIiIiKiqGNSioiIiIiIiIiIoo5JKYqYxWLp7V0g6hGMbdIVY5t0xLgmXTG2SUeMa2qLs++FwNn3iIiIiIiIiIgiw9n3qEdJLrOpqYlN6kg7jG3SFWObdMS4Jl0xtklHjGsKhUkpiohcSPbs2cMLCmmHsU26YmyTjhjXpCvGNumIcU2hMClFRERERERERERRx6QUERERERERERFFHZNSFDG73d7bu0DUIxjbpCvGNumIcU26YmyTjhjX1BZn3wuBs+8REREREREREUWGs+9Rj5JcZmNjI5vUkXYY26QrxjbpiHFNumJsk44Y1xQKk1IUEbmQSOaTFxTSDWObdMXYJh0xrklXjG3SEeOaQmFSioiIiIiIiIiIoo5JKSIiIiIiIiIiijompSgiFosFDodD3RPphLFNumJsk44Y16QrxjbpiHFNoXA+RoqIXEgyMjJ6ezeIuh1jm3TF2CYdMa5JV4xt0hHjmkJhpRRFRJrT1dXVsUkdaYexTbpibJOOGNekK8Y26YhxTaEwKUURkQtJQ0MDLyikHcY26YqxTTpiXJOuGNukI8Y1hcKkFBERERERERERRR2TUkREREREREREFHVMSlHETeoSEhI4cwJph7FNumJsk44Y16QrxjbpiHFNoXD2PYqIXEjS0tJ6ezeIuh1jm3TF2CYdMa5JV4xt0hHjmkJhpRRFRJrT1dTUsEkdaYexTbpibJOOGNekK8Y26YhxTaEwKUURkQuJy+XiBYW0w9gmXTG2SUeMa9IVY5t0xLimUJiUIiIiIiIiIiKiqGNSioiIiIiIiIiIoo5JKYq4SV1SUhJnTiDtMLZJV4xt0hHjmnTF2CYdMa4pFM6+RxGRC0lKSkpv7wZRt2Nsk64Y26QjxjXpirFNOmJcUyislKKISHO6qqoqNqkj7TC2SVeMbdIR45p0xdgmHTGuKRQmpSgiciHxeDy8oJB2GNukK8Y26YhxTbpibJOOGNcUCpNSREREREREREQUdUxKERERERERERFR1DEpRRE3qUtNTeXMCaQdxjbpirFNOmJck64Y26QjxjWFwtn3KCJyIUlMTOzt3SDqdoxt0hVjm3TEuCZdMbZJR4xrCoWVUhQRv9+PyspKdU+kE8Y26YqxTTpiXJOuGNukI8Y1hcKkFEXM6/X29i4Q9QjGNumKsU06YlyTrhjbpCPGNbXFpBQREREREREREUUdk1JERERERERERBR1TEpRxE3q0tPTOXMCaYexTbpibJOOGNekK8Y26YhxTaFw9j2KiFxI4uPje3s3iLodY5t0xdgmHTGuSVeMbdIR45pCYaUURURmTCgvL+fMCaQdxjbpirFNOmJck64Y26QjxjWFwqQURcwwjN7eBaIewdgmXTG2SUeMa9IVY5t0xLimtpiUIiIiIiIiIiKiqGNSioiIiIiIiIiIoi7mklIejwfz5s2D3W7H1q1bA8u9Xi+efvppnHDCCTjxxBMxbdo0XHHFFaisrGz1/DFjxuD4449vdfvTn/7UC0eif5O6zMxMzpxA2mFsk64Y26QjxjXpirFNOmJcU8zPvidJqBkzZmDUqFHw+Xyt1pWVleGGG27AN998g4kTJ6KpqQmnn346zj//fHzyySeB7XJzc1s9pp4hFxKbzcYLCmmHsU26YmyTjhjX1F09buS3hcwKFiuxxNgmHb9DjGuK+aRUfX09XnjhBezYsQPPP/98q3UOhwOzZs1SCSkhAX/NNdfgggsuQGlpKfLy8nppr/snmTGhoqIC2dnZsFpjruCOKGKMbdIVY5t0xLimA/kRvWTJErz07EKUFJXCaljht/iRX5iHmbNmYOrUqb36w5mxTTp+hxjXFPNJqYMPPljdS1KqLQncJ554otUyp9Op7iUrS0REREREtD/y2+GOuXdix7Jy5DmHYJRjQmCdq8iFBXOeQP7kbNwz/271D+FE1Bq/Q6RtUqqrvvrqKxx66KEYNmxYYFlDQ4OqqNq0aZMqDTzllFMwZ84cVWnV2ZcqOLFVW1sbyOTKTUiWV26SEQ6exnJ/y83nR7pcMshtX7uryyPd986OSW6yTu51OaZw9p3HpP8xBce2Lse0v+U8pv5xTGZsm9vocEyR7juPSZ9j2t81uy8eU6TLeUzhHZMsv2Penahd2YQRqaP3brBvPxLiEzDcMQoVK0rVdg88cr96brSPqe01u799Tjym2D0mIQkp9R1K2/sdEkbQdyh+FHatLFPfoQcffUDtT9vfkLF0TDp+TpYYOKa2r6VdUkoanD/zzDP4xz/+0Wr56NGjce211+KQQw5RpYE/+MEPVFnh66+/3uFrPfjgg7j77rvbLd+1axfcbrf6c0JCAtLS0lTCyuVyBbZJSkpCSkoK9uzZo5q0m1JTU5GYmIiqqirVpN2Unp6ussXy2sEfoDR8kySa7HPbCjHpr7V79+7AMgmWnJwc9X7yviZpDj9w4EC1f2ZiTUhCLiMjQw2PlKSd6UCOSZbX1NSoY5B91+GYdPyceExdPya5eEpsy/Nlex2OScfPicfU9WMyY1uWJScna3FMOn5OPKauHZMZ10JaOehwTDp+TrF0TOvWrYOvxoLCMYVo2OWC1+1Dan5SIPEk6soakZ2SB1dNDb7++msUFhZG/ZjM2JZjkv3vb58Tjyl2j2nbtm2qQmrSqCmwxu0bgtf2+5SGkSirKVG/xWUonxyTGddyzNILOlaOScfPKTUGjqmurg7hsBhtU1sxQBqVyyx7W7ZsaVUFZZKTetppp+HCCy9UM/B15t1338UPf/hDbNiwAQcddFDYlVIFBQXqBMuH2Vczk+HuY6THZGa4dTqmSJfzmPQ6JjO2dTqmzpbzmPrPMcl+mQ1GdTmmSPadx6TXMXV2ze6rxxTJch5TeMd0889+CWtREhIcCYHKjuBKKWXvclezC0ZhIx7+3fxeOabga3Z/+5x4TLF7TDffsPc7FJ/Q6j1DfZ9cHheMEY149ImH2/2GjKVj0vFzssTAMUleRZJgkog08ypaVErJSbrkkktw0kkn7TchJcx/2SgqKuowKSWZwlBjXc0vS6gPq62Olrd9fiTLu/qePb08ONCCt+nrxxTuvne0nMekxzEFx7YuxxTt5Tym2Dymtv/hoMMxHci+d7Scx9S3jina12x+Tn37mGRZyabSlv43wb+jWv+mCkiIS8D6jRtbvV5vXbP70+fEY4rdY5KYlKbm7b5DwYw236FNG9Xz2v6GjJVj0vFzipVj6ug92r0n+pjrrrsOQ4YMwdy5c9XjDz/8EJs3b1Z/XrlyJZ5++ulW25eUlKh7eQ51H7mYSAlf28woUV/H2CZdMbZJR4xr6goZGSEzhHWFDbZemVSJsU06focY19Tnk1Lz5s1T48DPO+88fPfdd+r22muvYfv27Wq9BPivf/1rNW5SyFjG+fPnq6GAY8eO7eW9JyIiIiKi3iIjI2TK+q7wwcfZw4j24neIekJMDd+TRlkyW151dbV6PH36dNXbSZqUr169WiWYhMy4F+yiiy5S9xMnTsT555+v+k1JIzBpDibb3nfffSHLyoiIiIiIqH+Q3wP5hXlqynrVU2o/pB9Owch8/o4g2ovfIdI+KSWd5qXJeSjjx4/fb5mfdKl/4IEHemjvqC1eXEhXjG3SFWObdMS4pq6YOWsGHpvzOEY4gqay70CpuxhzLr8evYWxTTp+hxjX1KeH71HskKZlMg1kuM3LiPoKxjbpirFNOmJcU1fJ1PSDJ+egor600+1k/eDJ2ZgyZQp6A2ObdPwOMa4pFEYDRUSq1qRhHZvUkW4Y26QrxjbpiHFNXSVVGvfMvxsDJiagqHa9Gl4UTB5vrt2g1st2vVXVwdgmHb9DjGsKxWIwItqpra1FWloaampqkJqa2tu7E5P8fj8qKiqQnZ3NTDdphbFNumJsk44Y1xQp+Qm0dOlSvPTMQhRvKlEzhElDZul/M/PyGaq6ozeHGTG2ScfvEOO6f6kNM68SUz2liIiIiIiIepr8WJZhSHIzqzdkhjD2u6FI9bc40uE71Ff3WzdMShERERERUb8lP0adTmdv7wb1QZLUWLJkCV56diFKikphNazwW/xqhjppCC4Jm/6Q7OhL3yF+ZrGHSSmKmN3O8CE9MbZJV4xt0hHjmnTF2I5tUmFzx9w7sWNZOfKcQzDKMSGwzlXkwoI5TyB/crbqqySVONT7cc3PLDaxp1QI7ClFREREREREochP6Hmzb0HNCjeyknM7nYFOGn4/tOBBVt/0Mn5msZtXYXcxivhL3djYyJkTSDuMbdIVY5t0xLgmXTG2Y5sM/5Jqm86SGyI7OQ87llWohuDUu3HNzyx2MSlFEZELiWQ++Rcl6YaxTbpibJOOGNekK8Z2bJN+RDL8Kxx5zgI1Qx31blzzM4tdTEoRERERERERhUESKtIgO8GRENb2sl3xphImGHsRP7PYxqQUERERERERUZjNsmXGtq6wwaaeR72Dn1lsY1KKIiJN3xwOB5u/kXYY26QrxjbpiHFNumJsxy6Zlc1v8XfpOT74OJtbL8Y1P7PYxqQURUQuJBkZGfyLkrTD2CZdMbZJR4xr0hVjO3bJZ5JfmAeXxxXW9rJdwch8fpa9GNf8zGIbk1IUERlfW1dXx3G2pB3GNumKsU06YlyTrhjbsW3mrBkodW8Pa9tSdzFmXj6jx/epL+jNuOZnFruYlKKIyIWkoaGBf1GSdhjbpCvGNumIcU26irXYlv1wu90xsz+9berUqRg8OQcV9aWdbifrB0/OxpQpUxDrovEZ92Zc6/iZ6cLe2ztAREREREREsUUSB0uWLMFLzy5UM5dJo2jpyyPDoKTqRH7k99fhTXLc98y/G3fMvRNFy9ZjkHNIq5ndZPiXVNtIckO2i9Xz1J8+Y10+Mx1ZDKa726mtrUVaWhpqamqQmpra27sTk/x+PyoqKpCdnQ2rlQV3pA/GNumKsU06YlyTrno7tmXWMfnxvmNZOfJC/Hgvcxcjf++P9/7cDFp+Si9duhQvPbMQxZtK1Ixt0iBb+hHJ8C+ptonV5EZvfMa9Hdd9/TPTNa/CpFQITErtn4SNnCc5P/zSkk4Y26QrxjbpiHFNuurN2Jb3njf7FtSscCMrObfTYU4DJibgoQUP8vu397xJokcSOLF+PnrrM461a3Zf+sx0zqvwn5QoIvKllQDjl5d0w9gmXTG2SUeMa9JVb8a2DOeS6pnOkhUiOzkPO5ZVqKoTavnMnE5nn7ge9dZnHGvX7L70memMSSmKOKssGU8W2pFuGNukK8Y26YhxTbrqzdiW/kIynCscec4CNQyK+pbe+ox5zaZQmJSiiMiFxOVy8YJC2mFsk64Y26QjxjXpqrdiW95PGl4H9xfqjGwnfXn4Hew7evMz5jWbQmFSioiIiIiIiFR/HZmBrSukUbQ8j/oGfsYUa5iUIiIiIiIiItXw2W/xd+k5MnNZf56Br6/hZ0yxhkkpiog0g0tKSmJTONIOY5t0xdgmHTGuSVe9FdvyfvmFeXB5XGFtL9sVjMznd7AP6c3PmNdsCoVJKYqIXEhSUlJ4QSHtMLZJV4xt0hHjmnTVm7E9c9YMlLq3h7VtqbsYMy+f0eP7RHp8xrxmUyhMSlFEpDldVVUVm9SRdhjbpCvGNumIcU266s3Ynjp1KgZPzkFFfWmn28n6wZOzMWXKlKjtG/Xtz5jXbAqFSSmKiFxIPB4PLyikHcY26YqxTTpiXJOuejO2pYrlnvl3Y8DEBBTVrm83zEseb67doNbLdqx66Xt66zPmNZtCsYdcSkRERERERP2SNLV+aMGDWLp0KV56ZiHWb9qoZmCThtfSX2jO5der6hkmpPoufsYUK5iUIiIiIiIiolYkGSHDvOQmlS1NTU0qkcEkhT74GVMsYFKKIiIXqtTUVF6wSDuMbdIVY5t0xLgmXcVabMt+OJ3O3t4N6uOfcazFNcUGJqUoInIhSUxM7O3dIOp2jG3SFWObdMS4Jl0xtklHjGsKhY3OKSJ+vx+VlZXqnkgnjG3SFWObdMS4Jl0xtklHjGsKhUkpipjX6+3tXSDqEYxt0hVjm3TEuCZdMbZJR4xraotJKSIiIiIiIiIiijompYiIiIiIiIiIKOqYlKKIm9Slp6dz5gTSDmObdMXYJh0xrklXjG3SEeOaQuHsexQRuZDEx8f39m4QdTvGNumKsU06YlyTrhjbpCPGNYXCSimKiMyYUF5ezpkTSDuMbdIVY5t0xLgmXTG2SUeMawqFSSmKmGEYvb0LRD2CsU26YmyTjhjXpCvGNumIcU1tMSlFREREREREdIDJFrfbHdWkS2+8J1F3Y08pIiIiIiIioi6SZNCSJUvw0rMLUVJUCqthhd/iR35hHmbOmoGpU6d2e1Pv3nhPop5kMZhWbae2thZpaWmoqalBampqb+9OTJKw8Xq9sNvtvOiRVhjbpCvGNumIcU26YmzHvqamJtwx907sWFaOPOcQJDgSAutcHhfK3MXIn5yNe+bf3W3NvXvjPbsT47p/qQ0zr8LhexQRuYjYbDZeTEg7jG3SFWObdMS4Jl0xtmObJFckOVSzwo0RqaNbJYeEPB6eOgrVK1xqu+6oA+mN9+xujGsKhUkpiojMmFBRUcGZE0g7jG3SFWObdMS4Jl0xtmObDJ+TaqWs5NxOt8tOzsOOZRVYunRpn3zP7sa4plCYlCIiIiIiIiIKk/RzkuFz4chzFuClZxb2yfckitlG5z6fD4sXL8batWtRWVmpxrYmJSVh8ODBmDRpEkaOHNn9e0pERERERETUi2RYnDQYH+WYENb2Mqxu/aaN6nmRDlvrjfckismkVElJCR588EG89NJLqmmVCB6raga8JKWuv/56XHPNNaqJGREREREREVF3kd+hUhwhDb2jmXiR95QZ77rCBpt6ntPpjOg4pVG0JYrvSRRNYWeM3nrrLVx66aVq/OfRRx+Ngw8+GIMGDUJycrJKPHk8HlRVVWH79u2qimr27Nl49tln8c477yA/P79nj4Kizmq1Ijs7W90T6YSxTbpibJOOGNekK8Z2xwka6a0kQ9l2bNoJ+FT2BYNHDsLMWTMwderUHk9QSRLMb+laTyQffF2aDS9wnM8sxPZNO2CDHcuXLoMn2YL8gkFqRrP9HWdX3zMaGNcUcVLqww8/xGWXXYZf/OIXuOmmm5CYmLjf52zcuBG33HILjj/+eJWk6mwKQOp75EIpwzjlYsiSUNIJY5t0xdgmHTGuSVeM7fak6uf2X96BFZ+vQfWuGnjczaoaSJIv29fuwNqvN2DC0WNx76/v6dFkjHwe+YV5cBW52s2AF4rL40LByPywP0e3242rZ12LdZ8WIaUpHXFWORYPrE1xaGx2Y3PdVjhT4zF63GjYOkjudPU9o4VxTaFYw/nyX3vttfj73/+OX/3qV2ElpMRBBx2EN954A2eeeaZKTpFe5IKye/fumJxqlOhAMLZJV4xt0hHjmnTF2G5NzsOtc27Df9/8DHXbXMhxD0WhdTyGWceoe3lcu60RH735mdqup8+bVGWVureHtW2puxgzL58RdkLqxCNPQtG/S5DfPAID7AORZE1BkjUVubbB2NmwHX6XgeZaH9avWd/hcXblPaOJcU0RVUpJad0XX3yBrKwsROLRRx9VvaiIiIiIiIiIukpG3nzw9n+R6x6GNHtGu/UOazwGWYeh2rUbH7z9MZZctgTTpk3rsf2RYYKDJ+egYkUpspPzOtyuor4UgydnY8qUKft9TUnU/PSyq+HdakV+fEG79RmObFQ4SlHj2YM0pMMHr+rzLEP5In1Poj5RKRUXFxdxQsrEnlJEREREREQUiQXzf4vExrSQCalgA+yZajvZvifJ0LN75t+NARMTUFS7Xg2XCyaPN9duUOtlu3CGqkkPqaWfrUBe3NAO33NU8gTUOqpQ4tkGn9ePHdtLDug9iWJBt02N19zcjIULF6pm5+eeey6GDBnSXS9NMYoXOtIVY5t0xdgmHTGuSVeM7X0VRMu/WYlC+4Swts+x52PZ18vV83ryHErfqocWPIilS5eqhuTrN20M9LiSfk5zLr9eVSuFuw8vPvMyrB47HLaO+2HZLDaMSZ6EKs8ubPdthK/OA0eTAX+E79kbYnnfqHdYjAgGdD733HOYNWsWRo8ejTVr1qhl3//+91VDdHm5lJQULFq0SK3vi8wySJl6kw3aiYiIiIiIeofL5cKUgsMwwX542M9Z6f0aS4u/RULC/huRdxf5HSz9mCVZ1dXEizz3glNmYNvyHapPVjga/LVImezAU689HtZsfESxmleJaC5GaXo+Y8YMfP755+rx+++/jw8++ACnn366WnfMMcfgwQcfjHzvKeaZF102qSPdMLZJV4xt0hHjmnTF2G7NCluXtrd0cfvuIEkhp9MZUXJIPmu7xa6qrLrwjvAZzX0qIcW4pm4bvrdixQp89913GDBggHr88ssvqy+gVFBlZGTg8MMPxxFHHBHJS1MfIReSPXv2IDs7u89cBInCwdgmXTG2SUeMa9IVY3sf+Z0Zl2iD3+2D1br/ZJPf74Mj0a6e11dIdZVhNZCYlABPQ5Nq3N5ZbMhwPY/PjTGjDupT8cG4pm6rlJISSjMhJYH13nvv4bTTTlMJKSFBJhlQIiIiIiIiokhJ8mLi4QejzlsT1vay3aQjJ/S56qH8EXkYnluISn9pyG32eCqxpnYZVlZ/h7V7VmBjwxrs2lWpZiZk5ZFeDMOA2+3uN59rRJVSDocDDQ0NSEpKwscff4yKigqcffbZgfV+vx9Wa0T5LiIiIiIiIqKAn8+9ATd8dTMSmhLhsHVcASXVQ3VJVXjwl7chlkmyQWbbe+nZhSgpKoXVsKKydhdqtzXCiPejuqkSA+wD1bY+w4cN9SsR1xyPPOswxFkdaPK7kZTlRHbtUCy4+UnkT8pSM+5JxRX1TUaImPBb/MgvzMPMWTMwderUPpNo7aqIMkdHHXUUrrnmGrzzzjuYPXu2Sk6dc845gfUyC9/QoaGnsiR92O3dNnkjUUxhbJOuGNukI8Y16Yqxvc+0adNw1DmHosFZg0ZvvRqiF0wey3JZf9TZh6of8LFKqqLmzb4Fj815HNaiJIxyTMDI+PE4fOBxsMZZEdeQiJ3N21HSvAVNPrdKSA3wZiPXNhQ22OHyN8BI8GLCpAlIdCRieMooVK9owh1z7+wTlTWM6/BjYpRjgnq8YM4Tar2uo9Eimn1v3bp1+N73vofq6moV+A8//DDmzJmj/izNzj/66CPcc889mDdvHvoizr5HREREREQUO+QH+e1z78S6/xXBv8sKn8sPPwxYpa15ghW2LD9GH1OIe2O4Ykh+L0tyoWaFG1nJuS39ofaOMpIqGK/Pi8/XfgxXVRMSnImos+yBe7cXOdYCGDAAq4HUzBRMnDQRtjYjkzbXrsecx66P6YQc7T8mOlJRX4oBExPw0IIH+0zFVLh5lYiSUqKyslIN3Rs2bBgOPfTQwHJpdi5OPfVU5OTkoC9iUmr/JGykt5hMs9pXvhRE4WBsk64Y26QjxjXpirEdmiRwZFTO7x98AnvKamEzbPBZfEjPTcUNt1ynZoiP5TYy0v/psZseR4aRg5LinXA3uNUseoABZ5IT+QWD1O/P8tpSLCr6Em6fC0N9Y2C3xCEhyYnBQ/KRKrPthXhtl6cRRmEjHn3iYcQqxnUHMTHncYxIHb3fbTfXbuhTicceT0rpjEmp8P5CkF5i0tQ+li/8RF3F2CZdMbZJR4xr0hVjO3SllAxR27GsHHnOIXDGOQNVRu5mN8rcxcifnB3TvZVuvPomFP17J/wNgNOa0Go2QRmC6Pa74EyNx+hxo9HU7MaHa/+FH0w8r6WSKozXX+9Zjlf//VLMJnwY1+3ddN3NaohegiNhv9u6PK6YTzxGklc5oEgoLS3Fs88+i/vvv1893rVrF8rKyg7kJYmIiIiIiIgCpI5CElIyxEkqSuQHvCRebDabupfHw1Olt5IrZnsrSULmk/c+g7UxDon25FYJKSGPZbm3zof1a9YjzmZHc6M37ISUsMGmbd8hHUmclhSVhpWQErJd8aaSmIzvAxFxUmr+/PkYPnw4rrzySvVnsXLlSgwZMgQPPPBAd+4jERERERER9VMyK5lUSHXWc0dkJ+dhx7IKLF26FLHm66+/RnOtDw5b51VcMrugu7YJDfWN8MOnklnh8sEXs1Vi1J4kEK1G11IyOiYeI0pK/e1vf8Mtt9yCiRMn4vrrr4fD4VDLTzjhBLzxxhv4/e9/j9dee62795ViiPyLhHzusVoaShQpxjbpirFNOmJck64Y26299OxCNWQvHHnOArz0zELEmtdf/BvibHFhbStD+6TnlD3Rhiav9J3aP+kpVVCYH9Mxw7huTRKIfkv4SUddE48RJaV+97vf4Ve/+hUWLVqE3/72t4GklATXmWeeiZdfflklpkhf8llnZGTwgkLaYWyTrhjbpCPGNemKsa3XECfZl52by5CcnAyPf/9VLjKUr66uFpMOn6B6ZYWj1F2MmZfPQCxjXLcm5yG/ME/1igqHbFcwMrYTj1FLSq1atQq33XZbh+ulYmr79u0Hsl8U4+TCWldXF1MXe6LuwNgmXTG2SUeMa9IVY3v/Q5zk3Hh9zSHPUW8NcZJ9cbvd7fbJPIYxBeNR6S8N67Uq/eW4bvY1GDw5GxX1nfdtlvWy3ZQpUxDLGNftzZw1A6Xu7dokHiNhj/SJnZWMybjXhoaGSF+a+gC5kMhnnJSUpF2mlvo3xjbpirFNOmJck64Y26GHOMl5KavZiXXFq9HY0AirYYPf4kNiUqJK+OSmDVLnK5pDnGSfpOeVDDGUii5JPsn75w7LxsVX/hjTpk0LHIPs3/rUNaiu3Y0B9swOX7PauxvNKS4cccQR6vnSvL1o2XoMchYgwZHYasieJCoG7511MNZjhXHd3tSpUzF4cg4qVpSqnmgdqagv7ROJx6glpQYNGoT3338fp5xySsj1r7/+OgYPHnyg+0ZEREREREQxkEyQah9JrkQ7mWAOcarbWIfFm76Gp8qHZE86En37kjq+ei9W7lmJ9RlrMG3kESg4KDpDnOScSMJImrDnxhcgxZWxN2HmwqbFW/DB6/9F+uBUPPrUw8gfkQf3ZjeOHnsCPl/7MUpq6pBly4PDui95JkP7dvlLYSR58X+nnaBm3pNz/tCCB1XzdumVtb5oo6oEk8SX9JCac/n1KlHR3cfbm595f2KxWFRCcV/icUiroaoyZK8vJR6jlpSaOXMmpk+fjttvvx2nn366CtiKigo1ZO/VV1/Fk08+iXvvvbf795aIiIiIiEhz8vvK4/H06jCnUBVAUu0jCSIZciQVHtH6gXzRZdMx66yrkFKVhTR/hkrKIOi9bT4b0lxZaCitxUdN/8ZfH/xzj++TjA66dc5tqF/txZCkQpVo8tdaMNCajzxJNO0dcVhfUoM5P7oFI48eBm9jJQoHjMFx40/aW/G1Bo0NDbDCDj+8SExKwriCcWi01OOSq34SeC85z3K+5daTyaJY+sz7k/i2icdNQYnHkT2XeIwVFiOCK11zczNOO+00/Pe//213YuTlpILq3Xffhc1mQ19UW1uLtLQ01NTUIDU1tbd3JybJ5yznSc6Prl8O6p8Y26QrxjbpiHFNOglOCEhT7PT0AdizpxqDRuRGPSEQXAEks94545wqCSOVO+5mt2q+nb+3ciMaw+S+/fZbXHLCVcjzDG9VWdSWVBqVOrbg+U/+jEMOOaTnPqNnFmL54hXYs7EeObZ8bGvahBxrAQY6s+QndrvnNXrrkTosEdt8G3DwgGnISclr9Zo+vxc2q119vjJMa8DEBJWkiOZ1re1n3rZapzs+c16z+1eVWm2YeZWIklLC6/WqWfheeOEFbNiwQS0bM2YMLr74Ylx//fV9NiElmJQiIiIiIiKdEgLhkp+H82bfgurlbjh8TpQU74S7wb032WLAmeREfsEgNNlcSJ8UneTJTy64BGUf1sLn8cPwAg44YbXsa37uN/zwwA2LHbA5rMg7JQ3Pv/rXbt0HaWB+9axrse7TIqQ0pWNbw2bk+4bDbW1Eo68BOdZ82OxWJKUkw9ImMeX3+2Ak+eAosCBhsA1NO439DtOKVk+s4M+8ZoUbWcm5HW7XWwkz6pt6PCmlMyal9o9ZbtIVY5t0xdgmHTGuSQchEwIWICE9Hq49TZIHimpCYPHixXh09u/RtMOAu7YJTmsCrFZbqwSL2++CMzUejsEW/OI3P1NVXD15fiYPPQQj3RNVpVZTcxPq3XXweX2BRJnNbkOyMwXxcfGqomuTcwWWbfuu286TJKROPPIk2LYmITtOmqlbsbL6O4ywjENR82oMMqSCywGLzQqrHUhOSW5XMdXgr8XYKWNgFDbix1dcpKqtijeVtBqmJTOr9cYwLfnMH5vzOEakjt7vtptrN2DOY9dH9Jnzmt2/1IaZV4l49j3q3+SC4nK5kJKSwgsKaYWxTbpibJOOGNekAxkOJhVSwQkBiW1bggVGlRGoupGZuTYv26D6znQ1IdCV4UCSLKnb5oa1MQ6JdkmutCYJqkRrMjx1bni2efHiMy/3aFJKEkLNjT5Y7S2Jsfg4p7pJMkqOq+V4LK32z9PoVc9LSNhXiRQpeY+fXnY1vFutyI8vUMt8hlclk2SdH344LPEt/b98fvj2jiqy2aRPlA9W2AL7GG+Px6aiTSrxNPWJnu0P1RUyZFQq9MKR5yxQMRJpUorXbOqWpNTGjRuxcOFCDBw4ENdee61a9s477+BnP/sZqqqqcOmll2LBggUMNCIiIiIiojASAvKDvaX59Wq4XG6MPvggrF+1EQkJTowpGI/ctEFdSghE0rRanrNm2TrYGpLhtHc+fMxhc6KxoR5rlqwLSg71jJZUT1uWDt/TCLl9ZOQcLv1sBYbHjQ8ss+6tbpKElPx5796oKq161GJrzXpYrJZAFZTdFocB8elqf2WZJKKcTqd6LPe9ST47iY9RjglhbS9DDqURd09/5tR/RJSUevbZZ/GHP/wBc+bMUY/Ly8sxY8YM1QB9/Pjx+OMf/4hx48bhqquu6u79JSIiIiIi0oKZEBhhG4tPV38YmL0t3u5EtjUbXqsDTQ1urF2zFutT1+DosSegaFPJfhMCbXtUBSccXEUuLJjzRMgeVfK88h0VGGHNarunkEKglrfc974ytG9zyeZAkqUnyOvaE23wuJs6bXIe3Oxctu+u/ZFKMEuTHXE2R6vzYLfZ4fN6Awkzv+HDNmyA05+EQZYRSLAlytYqWdXsa0KluxSfrfkvsgszo9ovan/ks5OEZVcEJ9aIDlTXom+vDz74AG+88QZuv/129fj5559HQ0MDXn/9dTUe9dVXX8UzzzxzwDtHsUv+EkxKSmJ2nLTD2CZdMbZJR4xr6uvkh73Fb8Hnaz9GQm0aBtmHqcSLJJ3qyuvVvTyW5c7aVLWdJBDkeR2R50hCSnpUyZDA4GbaQh4PTx2F6hUutV1wi2GHwwGXq3FvDylDFR3U1dWhZk8taqtr1b08luWyXrZrbGxQz+sp8v2edPgElHt3hLV9ubcEk4+YdMDXBTkv3333HT7853/RWNOIqt1V2L2rCnt270F1VQ1S/RmoNMrUto3+emwx1iPdyEEmcuExPKhtrkZ9c626d/tcGOQcCkdNMnZWhHcc0SIJMqmg6wqp/ookscZrNnVbUkoqo0466aTA47fffhujRo3CGWecoR6fddZZ2LEjtr5s1L3kQsKxwKQjxjbpirFNOmJcU18nP+x311WqCqk0e0ZgueE3sKesRt2bBtgz4au1qO07SwiYPao6m0XN7FG1Y1mF6lFl8ng8iHPGocnvRn1dPRrqGtDc1Kyaips3eSzLZb1s50h0qOf1pNlzf47GxBpUe3d3up2sl+1k+0gTUdKLSm5zb5yHuZffht07q9DsbYbVb4XVsMHit0pWBgmeZJR6t8Pmt6MU25GAZMRZHGiGJ9DvSvJ98gnKfX1DPTyuZgy0D2p1znubXD9lSKfM/hcO2U6askdy3eU1m7otKRWcTZcE1TfffIPzzz+/1TYMNL1JDEj/ME7eSLphbJOuGNukI8Y19XXym6murhYZyFZxvMdTiTW1S7GqZjEasnare3ksy2V9hpGFmtqaA2paLa/j9TWre7NHlUmSXbmDc7C9djM8Tc0wfIZKxNhgD9zksSyX9dtqi5Cbn93jw9GmTZuGk88+EVUJZShp3qqG6Knj8HrVvTwu8W5V608++4QuNeGW58ton5uuvRkXfH8GLjnzCkwddRj+9vTfsWHtJsQZ8YiDA17Dq4bitfSOMrDd2IRhGA0fvNiDXUhAYqDHVAKSkGRJRYIlCYlIRoIlGfBZ4G/2w6i0qSGBsUR6jJW6t4e1bam7WM0SGAles6nbekplZ2fj888/x9FHH616S0lQnXfeeYH127dvR3Jy+5kaSB/q4u/xsMEdaYexTbpibFN3iJWZooL3h3FNfZnE7oDUDDSXNmNL/QbENccjzzIMDls8hqTmwWZNQZPXjeLaIqyxLFXJDZvPgumn/Thkw/KOmlYHN1FvbHAFGnAnJiXAWe1QDbqtVqt6nZz8bGxYtBnxRiLSLPuqt0wtaRkbavxVqG7ejQmDR/X4909e/4FH78etuA1vv/BPbKhaBRviYIcdXnjhQzPSUtNw9vQz1Hbh7o/MBHfVpVdj4+dbkdKUjjhrPKrcpaiq34MMIxsJsMGNRqQiA5UoQx5k9j0L6lGjklCplnSkGAPgQiMsFhsccKoElrTdMvtJtdRKtfTf8tviUbsrOs3hu0JiaPDkHFSsKFUVdB2pqC/F4MnZavbASPCaTd2WlJo1axZOO+00jB49WpUeHn744YHAXLRoEW699VYcdthhkbw0EREREcWQSGbwIqLwSJI3LXkAVnnXIM0zEGm2zFbrpXl2sb8ITn8isjAYFjuQEp+CQvvB8BS5seDmJ5E/KSvQsDxU02qvz6t6UZlN1POCmoV7GppQvKEIv/jZL1UyR16jsroSCZZEVf3TaNRjIHLVsDRTs+FRCZomi0ttV1VdGYUzBdUe5uk/PIuB/jyMwDiVlGpJ+FhUUmp3bblaf+3sa1BYWLjfa9pf//Q8/vbym8hzD0OGNRs2ux1wWLGmbgkGYTia4MZgFKqklMyo1wQXao1qpFgGoArlaps6oxqVKIUXzXAgHnbEwbBIMkpYVGJK/Ulm3bNLpRng8zWjeMvWmGoULvsnMSQ9xoqWrccg55BWvchkyJ5USElCSrbjNZ96PSl13XXXoaysDG+99RZOPfVUPP7442q5ZNgvvPBC9eebb765W3eUiIiIiKIr0hm8iPqS3qwAlPesqqtEmj0daY50NZubVDHJ6Caf4cNW73pkGjlItg5Q+9Zs8aDZ61FVTQmORAx3jELFijL1PX1owYPtmlbLsZlN1IN7VpmkiXqufTDqVjer13jwsQdQvL4EFocVA5tz1DYl/i3wGV7YLPbA/UBrLlKQhj1xFdi2rrjHK1+ksfrU0YdipH8CMizZgWMzyXunIRMD/APVdpWucsTFSdIq9DWteGkZVq1fiUx3HrJtg9U6v8eHRY2fqsTSQORhJ7aoqie5SRIqHVnYjXLUG7Wqb5SsdyIJg1CIdViMeDjVfliCklFWdU4srZvJWxJQXVPdo83hIyGxIzEkRScypHP9po2BijrpITXn8utVIUpPf0dirSKXYjQpJcFx3333qVswuThu2bKlu/aNYpjEQGpqKi8UpB3GNumKsU1d1XYGr7bUDF7qB3Fp4AdxtOOLcU19vQLQ7CmVZRmG+GQnKt0V2Nm4HX6vHzs3bYJfejpZ7PBbfSqBZIEDHq9rbyVOi+zkXGxetl4lE2S/VdPqIpf6jsqQvbZN1IP5/T44k5zIScnD5mUb8PXXX8Pn8mNcylRsqF+JuGYHhthHwma0DJOT4XI+ixe7jVI0x3kwNnky1ri+VY3BExJaz/LXnWZcOAPZvsGBhFRg/1UPp32VYbI+y5ePmTNm4rU3XuvwmpZopKCupg6F1gn7hj36tiIe8ZC0oCSiJCFjnughxkHYjo1wIgFxiEcZqjEc45FqGYBmQ4YPytnxqmopYQ7b8xvy+bWOI9nWD59KvPTkOYs0HiWG5NYTyaGOrtmx8n2kPpSUIpKLQmJiYm/vBlG3Y2yTrhjb1FXmDF6hElLBpP+I/Jg1fxBHE+Oa+noFYKieUkOsByHO5kBR1RrkW0aoyqRmXxM8RhOc1kTY7XF7B63tYzYsl++g/Ih/bM7jGOEYrXpIyZC9jrj9LhQOGR54jVf++ppq1G2z2DA6aSJ2uDZjjes7wC9dpOwqoQKrgYKE4RiRMAZWi1X1l+ppH/z9Y0zEkep81aFaVS6ZTcUlwSNJjAzkIAUDkIeh+M9bH3V6Tfvviv/A5nOo4YkV/hI0+z0tfaFkuCOa0YBalWQyq54sFiuGGKPU8hJsVlVZkpAyPweprqpCGXIxNOgdWxJTZtWUSRJ6zvjYSkZ1dH3t7uGFoa7ZsfR9pD40+97GjRtxzz334Mknnwwse+eddzBixAgMGDAAN954Y8Qd9aXx2bx582C327F169Z265966ik1+8L3vvc9/OAHP0BJSUm75//85z/HIYccorb72c9+1uNTlPZHMlSzsrJS3RPphLFNumJsU1ftbwavYG1n8IoWxjUdaAVgcN+cQAVg6ihUr3Cp7Xp6ljCzp1SxtwipngzkWoe09G+yAMPHD1ENz6USKN6SALs/Dm6jAXH2uHYxL0P5iotK1P6aTavL63aqpuZSYRWKx+eGMzVeVa6Yx166tRxxiTY0+zxY37BCzbA3znYIJjmOxHhHy708luWyXrZzJNp7tDeSDN1z+OPhgAPbsF51eMrHCAzHWAzFKHUvj2W5rJftZHt5npwPqeKSe/OaphJb9fVo8NWg2rcHOf6hGGQZgeGWsRgmN4xDIxrQgDq4jUa1D2pQnsWi+kk5If29JNEnKTG7+rykqsolKStjT6t9V0ktiaG9GcRafxU8NhdSUpNjpp9Ub16zY+37SH0oKfXss8/isccew+7du9Xj8vJyzJgxAzt37lRN5f74xz/iz3/+c5dfV5JQxx13HEpLS+Hz+dqtf/PNN3H33XfjP//5D7744gvVYP2HP/xhq4uy9LJav349vvnmG9V0fe3atexv1UNkClYiHTG2SVeMbQqXOYNX2x8IHZHtije1/CCONsY1dYVZLZOVnLvfCsAdyypUBWBUe0oZXvkCqiogZ9DQLqm2ibM6YLc4Aj2l2pLEiCS5zKbVKeMdauY+GaIXTB43euthT7Fh9LjRrYZF2S12jJs2BqvrlmBA88B9SbLAkDSox7I8rXmg2m7iEQf36NCqoqIilfyR4XNSDZWJHNXTSZJQkgiSe3ksy2X9NmxQ5++nl1yD6afNxCVnXI4LT70IH/3zYzQ1Nqnzt6dhNzKNfORgMOyWOPX6Ld2grHBY4pFlGYQCHIQirFbXNXMmPfmzvLbMgtiMJvXJyGfhsDiRaeSpaqkyY7tqBr+PAb/VizL/NtTYd6nE2OSjJvbb4WjB1+xY+z5SH0pKffDBB3jjjTdw++23q8fPP/88Ghoa8Prrr2Px4sV49dVX8cwzz3T5devr6/HCCy/gsssuC7leelhdcsklGDhwoHosFVGrVq3Cu+++qx5LkkwSYrNnz4bNZlM3+bMsq6qqiuRQiYiIiPqdUDN47Y/5g5golsVaBaDZUyrTkoPklGQkpSTCsBswDEl9+FoGf1kAm92mbg6LQ/2oD5XOkIbU5vAmuX/4d7/GkDH5MJJ8aPDXosFfp+7lceH44Rg7fgxsbZJb8hqnnXMq4gwHkixpne57siUNcYjDqWedgp6Un5+vZr6LR4IaJif7KL2dEpGMBCSpe3ksy6V2SSqckpGGsv/VoG6JF3XLvahZ4oF7lxcbVhRh0fJFcHqTkYQU9fpeeOCAc+8wO0O9jwduDLBkIhEpKMeOwL6YQwZlP+TzaUYzLFYLBjmGotpWgcGWQvW6JShCkX8VthrrUGSsRpltGzKTszAiYSwakvbg57+8oUfPWV8Ra99H6kM9paQy6qSTTgo8fvvttzFq1CicccYZ6vFZZ52Fa6+9tsuve/DBBwem+2xLkkqSGb3tttsCy9LS0tT7fvjhh+q9P/vsM1WmKUP3TIceeqha9umnn+Kcc84J+b7yH1DB/xFVW1ur7qUCy6zCUjMpWFqy421neuhsedvS2q4ul8x729fu6vJI972zY5Kb+pcCv1+bYwpn33lM+h9TcGzrckz7W85j6h/HZMa2uY0OxxTpvvOY9r9cZq0yrPuGnARaorT9JRzU2Eaa0qrn7Z2FKxrHtL9rtu6fE4+pa8tlJMbOzWU4KP7g/ce1VADGJ2BD0Sb1PHl+TxyT3NLTMmGUt3yZ5DsU53DAYgV8jga445rVsD15TkuLIotaH/jq7d13l6dRzZBmMj+PsVPHwFqUBKfd2fI9sVlbXqvNscrruDwuFByUj2XfLMeI3IPg3tUMGPa9Db9bnmP4WxI38n33230ozBqNxV8uxcyZM3ss9pKSklR/pyRrimokLgkhtS97nytJIYthU7PflWILBvrzVFIqoTlFJfLMbWXfDRewo2EbUo0sWK0ys1yzWm6TEy77BEM1c5dElfSZyrUMwSbLCnWaZUY+qary+X3q85FEViPqYHMAuUn5qKnfjZrmSqQiA8MwVp1b1e/KakVqWgqa/G64Empx1JmHqlnsgj+n/nKNaPsbUipyR8Xv6yHV8mGZT2xfkSszAprfx1g5pv2d964ut2h0TOEOrY8oKRX8xpKgkqFy0gcqWKuLXTcwZ/XLyWmZmtSUm5sbWLd582bViyozMzOwPisrS1VMdTYr4IMPPqiGBba1a9cuNQZZyMwIkgSThJXL5Wp1kUxJScGePXta9a6SsdnSxE2SacEliunp6epfLuS1g8+j7LPsZ0VFRat9yM7OVl88c6ikeW7lPMj7yfua5Nilikz2z0ysCZluNCMjQ1WiSUWb6UCOSRJ9clxyHPLaOhyTjp8Tj6nrxySvI+8hf5brhw7HpOPnxGPq+jGZsS1/r8k6HY5Jx88plo5pwuHjYCl1wOq1omGXG/FpDjhT901h7mlohquqCQnp8UC8gYl5B6v9iuYxmXEtPUrkvwn74+fEYwr/mOR3S37BIKTFJavlDbtc8Lp9SM1PavXbpa6sUc1+lzY4GYOb81UPW9mXnjgmed7Y8WNRa3Fj1/oqZA/NRlJGy7A9T5wL1VkbgfI4ZBVmID4lDlabBRanAXuCVc2Sl5KTCGucFS5XNc6dcbZ6veDP6dzpZ+PtZ9+FrSYJFq9FHVOwmh31sNqtSMlNhMtVg3Omn4U3nn8LEydMwtZtW5CcmSSlRJJdgcflxc415UjJTkRmYToSUuKRX5CPLXUb1Xv1VOxJz+LE+EQcNL4QTltLk2z5tEpWlcPr8WHo1EFqmQzjS8JY1Cz2Ii7ehoKJMiRsbzLNZ2D1V3Y0O9wYNeogZCBLrZNjKl69E8mZiRg0LAteNMEOB2prarBswxJkDcrE5PxJalsv3Nizqxx1W6vhKDCQnZWBxNTBGFwwGFvWbEPBluHw5TYiNTFRVVjZrHbs3rYHtdV1yBiXi/jsVOSPm4gfX3qR+i3VH68R5jVbtpH3dNgdrWJS1tfuaIDdaUNS1r7hq/5mv/pepiQnB76PsXJMOn5O3XVMdXV1CIfFaJvaCoM0z/vd736Ho48+GnfddRfuvfdefPfdd4GM7/bt23HKKadg3bp1iMQnn3yCE044QSWShg0bppb973//w7HHHqv6REn1k+n0009XJ0OqpWQ/HnrooVYfnpAP49Zbb8WvfvWrsCulCgoK1Ak2G//1xcxkuPvIY+Ix8Zh4TDwmHhOPicfUdrn0+vjNL55UTWb3Vym1pXYjZj9yrfpvwVg+Jh0/Jx5T+Mvlh9XMH16CgxzhVUrJ8g1NK/Hyu8/3aKWU7NMI+zisX70eTXUeOG0JqopH1q2rW4ZUz0Ak2wbAFmdFUnIyGo1aTDl0SqBSald9OdImOvDAI/er9wz+POQ1br35NlQvd6m+PB0d666GMqRNdOKO+27Hleddg0LHOPVcGVq4o3gn3A0t/1AvVUXOZCcKhuQjJTVVvVdR02o8+/af1Q/dnog9+Z02Kf8Q5NUUquGCVostqGqrpVJKbDRWqJn3Ev0p8Ft9yMzOVK9nnocle75EXJNTrcuytFSVyfC/en8NEi0p6nWrjUpUYqeaxS/Dnwu7NQ6NljrVT8pv+LAbZaj0lyHbmo+chHxMPmSiShTIeZS9kSqqyrpyrNuxGo0NjXA3u1AwKh/jp43FRZdNx+TJkwPH2d+vEbJs+mk/DrtSSpavb1qBhf96IfC5xtox6fg5WQ/gmCSvIkmwmpqaQF6l2yqlZs2ahdNOOw2jR49WQ+qk4biZkJKkkSSADjvsMHQnc+rItr0K5LFkB81tQs20J8s6my5YLqChppeUE9q2iaD5YbXV0fJQTQi7uryr79nTy2UfJVgluyqVJOY2ff2Ywt33jpbzmPQ4puDY1uWYor2cxxSbx9T2uq3DMR3Ivne0nMe0b7nMYpw/KRsVK0pbfsyKEP+UWVFXivxJWeofLYNfLxrHFO1rdix+Tj21XMdjkiqAQSNy1TTzwU38JblhDgENfp6ryYXBhYPU83pyH2WfPEVNqseT/Ijbsb0ELlcDBo/LQ/7qYdhuLYLX6kZu/BD4fV7EJ8Wr3+syZK/UXYzBk7Nxz0N3t9rP4M9D1snMZUXL1mOQc0irY5che8GvIVUa0pvJ3MfU1DSMG5+mfmCGOkdyTfAaLb2seir25LUbGuphN+LgNbyw7u3rZD5XfX6GH2644ESSSmZITy5pGC+/l2Xfd3vKkewbgEZLPTx+NwzLvouZvJZs6PM3owoVyEQeUi3psFissBgyNNCi+lbJM6QCSm47rBsxeEC+Oj/mdVH2xm61ITdtkLqV15UiZbxd9fbS8fsUyTG1/W+R/MK8dt/HgDZ/36jhpSPzW8V5LBxTT+2LRYNj6ug92r0nInDdddepJuNSlnXqqafipZdeUsslyC688EI1Q8JFF12E7jRixAh1L2W3wcrKygLr5F5K04JLyyTo5V9FzG2o+7TNihLpgrFNumJsU1eYM3gNmJiAotr16gdBMHm8uXaDWi/bhfoP02hgXFNXzJw1A6Xu7SpuqqursXrlGiz5ZimWfbtC3ctjWS7rJVkz8/IZUdsn+Q5J1c34CeMw5bDJKBw9AoccPg3nHvcjTJg4AbsTS7C6+Ts05dZgvWc5jMJGzHnsejy04MGQ/8BuknWyzc2P3aCeI9Umm5pWq/u2rxFIFLT5vstySQa0/Z6biYKe/P5LEYLH54EP3sBMgF5pMW54AjdpTC69r2x7q6j8hoGqpkqsqV2KldXfYV3tCiT4EpFtyYPb0giPsbfyC4bqDSWz90mDdEk+pVuyWhrMq3f0qPeSoYHSP8ptaUBmSjZG5oxB/tEDsVldGxvbnJNGtTx9khMPPNpSvUahr9lm7IcjWt9Hir6IKqXkoiMz4cktmHzhOuvddCCk7EuqsWR2v/POO08tk39J2LBhA+bPn68ey/A+aQ4o28jwQSHDCmWZrCMiIiKi8Jk/ZqUyXmY9kiaz8sNPKinkh+icy68PDNkj6gukoi93wkB8/faXiHclwWlNQJJ137ASf4MPm9dsRVNCAyadPSYwGqSn92nw5JxWVYlmlYH53cobkA+b3Yq0CU7c/dBdcDqdXfreybbyPnKTpIAkeswkVFuSKHhszuMY4RgdVqJArgM9SfZXhs9VoRw5lgKVLpIkUsvyloIaaSgu/5N1XqMZxShCasMA5FmGqcbom7AKqZYMNXtevjEcNahCJnLhQkvbF3luBUowGIXqtczm7m6jAVap45AZEG1WxCXaMX7SWDgS4mBkNODHv7yo5dpYFHRtLOS18UBiP5SK+lJVzReN7yP1kaRUOJ555hlcfvnl3fqa0hPqhhtuwJw5c1QjLulrJTP2SV8pIcuuvvpq/OY3vwnMDih/lmXSLIyIiIiIuqYrP2aJwtHrcSRVUqiEw3AhC3lwSAJiL5nlbQ8q0STJiihV4ZlVia2G2MV3MMRu/t2dVkWF+36S1OoriQKVoLNb0NBchwr/TjW0Lt5IgDWoX1QN9qAJLriMBpRhOwYiF2n+DJVIkkSUGqKnhglZkWnJVb2j6owqpFmy4EQCLIYVu7ADTktLyxd5jtdoahmyZ0mBP96LzLx0jB47Gra9lU/rN29Uxz71CV4buzX2Oxpe2osVudSzImp0Ho5BgwZh586dXXqO9H6SCicpmV2+fLnqVSUNx19//fXANn/84x/xpz/9SV1IpXrqqaeewuDBgwPr5WLwi1/8Al988YV6fNRRR+GRRx7p0sVbKrCkdHZ/Dbn6MwkbGSopHfZ5cSCdMLZJV4xt0hHjuu8wm+e/9OxCNQ281bDCb/GroWJSmdO2J1lPkREVUgU0PGUUymp2Yl3xGjQ2SDWMXdIQSExKwpiCcaonkMwqJ0PbZN+idY7MqsTiTSWIj4tHU3OTqkqUYUvRrLyR31SSKCheVq4SBc44J3x+r5pRzt3s7tYkWTjnpTBnFNyVzbAZdqQhQ1U5OSzxqvn4dmxEHJyoRAkSkYpkpKqKKotZR2WxYCvWYQTGBV6vyFitklhploHIQDZshgM7sRlDLaNVQkqGA8qwPRnAZ4+zYephU9Vvz+Czv8mzCn95+8+dJvgovGt229gPrsiNduxT9wk3rxJxUkqSRjJsbsWKFWhsbD2OVhQXF6upLvsiJqXCYzY7JNINY5t0xdgmHTGuY5+Z4NixrBx5ISohytzFyI9SguOm626GtSipdaNz1eS6JeHSqtG5x6V6Lj36xMOINtkn6d8r08D31o9x+W4tXLgQv3/wCewpq4UddlVJlp6bihtuuQ4zZsyI2nfv+yeeig0fb8UQHIQmuNUseLIv0gcqG/mowx5VDVWD3RiLaUiwJO1NSrX0jdpqrEeBpVD1pKoxqlBj7EGWZRCaLU2oRCk8/iZ40IThlrHqOXY4EGeNg8/qhSMpDmMnjmqZZS+I9PV69d8v7Wu4zmqpbrlm8zzqI9y8ij3Sf2E45phjVNJJKqJKSkpURZPZeFyCaOjQoZHvPfWJi0lFRQWys7P5H4KkFcY26YqxTTpiXMc++YEpCamaFW6MSG3fo0iSQ8Mdo9RQMdlOepj11A9R2Rep0hrlaDMFfQdk36SPmupdFOUfx+Z06l3tHdUTicSjB58M53BnIJkglVL//vNHWPHtyqgkEkWc1YFsS76qXopDPIZgFOqMajhQhVpUIRuDkYIBWIclqidUk+GGA/Gwygx6sCATOdhllCLHMlgltDIteYi3OtXQvfS4gS3VU82rEY8ExFniYLNLU3ermtXP42nEjuKSVkkpaWYuvaPM38a9XQGo0zV7f8NLST8RJaXuuece1cfpL3/5C1JSUpCXlxdocC4XMOnhdNhhh3X3vhIRERH1G/zXYtKBDNmTxEaohFQw6V20edkGNYSnp4bLyfdJkgbm96tl+N5qNDa4AsOFEpMSMKZgvBq+p2acg009rz/9SO4okSiz70U7kWjuT/GGEuQ6R6DZ41NVbY1GPTZjreoJloJ0NaRPPr8kpMACqxp254K3ZfSe+p9VJa8SjEQYFkMlnqS/lFRRtYzwsyDLNgi7vWXIsw5RCSkhSS2/z4Crwa36S5lHKcMXb/jJVZg3+5ZABWBwstNV5MKCOU9ErQKQqN8lpb766iusWbNGJaRE8EVIvnDSgPy4447DNddc0317SkRERKS5WOm7Q9RdJJblB3s48pwFqqdMTyWl5HeKfJ+8Pi8+X/sx/LUWDLTmI8+6L2HgaWjC2jVrsT51DY4ee4JKdPRGQkGuBdJvt4fa//aJRKKZmJfqmuZGH1JSU9FQV49mjwU7vEWIhxNuNKghfZJ2kgSi9INKRLKqqJLheA2oQS2q1XKZhW+HZbNKRvkMPwzzUqpaTxlIsqSi0laKBmstUtF6kiyL0VLlI03OK+rLVLLpzYVvoXZlU69XABL1y6SUfKEGDhwYeCxf0OCyVklWyZA+IiIiIoqs7w7/1Z36ulgbLievOWhELj5590OkNGQgzd5+dm6HNR6DrMNQXbsbn6z6EEf+4JCoJROCk9I7N5chv2AQSop3qn2OZlK6NxOJoRLzHp8HdQ218CZ6kZySjF2ucjhrE1GPWjVET4bzmVVNNsOmElKSeKpACZxIwhCMhsPqaKmKsgNbjDWw+KxoMGrhtMjMe4DVZkNyQhIOtk/DhroVaPTWqSF+0oNK7ZcFaPK6Vf8zafB+9oVn4fFb/tTriTsiHUQ0+D45ORnl5eWBxzIm9Jtvvgk8XrZsmeqqT/qSMcDs30A6YmyTrhjbfWu4THAT5sC/uqeOQvUKl9quN6onYhHjOrYFD5cLlzlcrqdMO2oqmmo8IRNSwQbYM9V2074XnUSCHLMMBZOZAaUR+0j7eMTvTFP38liS0rK+J89NcCKx7TWoI7KdzJbWHdektudAkpkj48djbMJkGPCjpq4a9XX12NVcqhqZyzJpvi6JOjNZl4EcVKIM27EJA5GHXMuQQGLJTFw57dI3SlqZO+F3eJE2IA0pqcmwx9lhs9gwJmUyMpOzUGrbgk3+Fdhu2YCd8ZuAwkY1G6NUPb3+4t+6nLgjXrMptIiiYdq0aZg+fTpWrlypHh955JG44IIL8Mgjj6jbmWeeicmTJ0fy0tRHqFlKfD7+RzFph7FNumJsxzZzuExWcm7rqbN9za0+M/lX9x3LKtS/uhPjOtaZw+W6oqeHyy35ciny04bA43N3up2sl+0Wf7kE0UpKVy93I8Ofg83rt2DJN0uxevkadS+P0/3Z2LO855PSvZVI3F9iPjkpGeW+ErhdTXC5XagwdqjKJ5mBL5g0O5cZ+KR6KsUyINADat8pM5CXMBh7LLtgs9pg8dtUBVQwSXClOwZiXOoUDEzOxkFjCvHsW39SszCa1U69lbjr63jNpm5LSs2cOROVlZW499571ePZs2ejqqoKc+fOxS9/+UvVUf/OO++M5KWpj5ALye7du3lBIe0wtklXjO3YZg6Xkc+ntLoEH698H+9+/Xe8v+jf6l4ey3JZz39134dxHdvkx730Q3N5XGFtL9sVjMzv2dn3NpdiwoSJsKfY0Oith9/vU4kKw5DkmaEey3JZL9vt2LSzx+NLktLFS8pQuW0PNq/ZCkuDDcn2NAwfO0zdy2NZvntbNbYvKevRpHRvJRJDJeaF9P/6ZNUH8DUa2O0vQ41RBYthgQceVenUBDeaDU9gewkdWZ6KdLjhUr2kWqKp5TO02CxwWBLgS2yC216POMOBeld9yH2q9u6GJ7ERk489uNXQu1isAOwreM2mbuspddZZZ6mbacyYMVi0aJGajS8uLg4/+tGPMGXKlEhemoiIiKhfMYfLjLCNVT++6qoaVINj1VR374xg7vomfFu1CCkZSThm3Iko2vuv7mycS7FOeiHJcKwRjs5775gzms25/Poe2xczmSDNqseOH6N64G7dtBXNTV7VKFsqb+Li7Rg2chjy8/OjNvueJJnrtrlhbYxDoj253Xqr1YZEazI8dW54tnnx4jMv91h/okAiscgVViVQdyUS2/axMitqPl3zIUp27kRiczKcSEQFdsKHZthgV4/daEQ5diAfwwPPkwRUiiVdbSfrZZifdDM3LH5kpmdgROFwTEw+GJ+v+S8qyovhbE7CAH+6qpwSHn8Tyr070JhQg5PPOgH3/vqedhN7xVoFIFG/S0qFMn78eDV0j4iIiIjCJz94LX4LPlv/ESrKdiHZl4Z8y+BWfVCa/R7sdpWhvKwcn+EjFByU3++mqae+SZIngyfnqFnIZPhpRyrqS1UD6Z78h20zmeDz+7F+zXq4apqQ7syCLdGqhndJ3kGSwRXbK1FbXYfR40b3eDJBkihrlq2DrSEZTnvw+xjA3uotk8PmRGNDPdYsWdejSeloJxLNxPxBcQejurpaNXd31buwy12OrfUbMQyjkWrJgN/wYjW+U5+JNDjPRA7q1GC9MjiNBGQgG34YsMKmqqMkcRUP695hfs1IzUnG5KmTA0P6jj/4ZJQV7MT/Nn6ERvtuNLt8LX2qEm2YfNxEzJ7bMlyv7XnurcQdka7Cqjt85ZVXuvzC77//fiT7Q30IL6ykK8Y26YqxHZvkB29l7S6UlJUgxzcYudbWjXmFPJbl2b4C7CgrUdv31jT1brc7poZeMK5jm3w+MmPkgIkJKKpd324onzzeXLtBrZftevrzdKTY8dlnn2JPSQ289T7U19Sjrq4+MEmTqkqyJ8Nb58PKlSsweOSgHt0nSS6X76iA0yrJDQNNzW7srtuFij3l2FO7R93LY1ku62W78pKKHh0KFkgk1pd22gso0kRi2+uIOhYfsGbVWixZvgTrylapWNlev1kNxatGpZopT5qX52IIBmMEmuFRlVLNaMIQHITdqMA2bEQ9atQ66TXllxeVpD48cFsaMGnKhEBCSsjnmjcgH5MmTcKybd9hSfHXWFq8CCu3LcWLrz2v+ih39NlL4q7UvT2sfkmSuJt5+YwunSOd8ZpNEVVK3XTTTaqxeVdceuml2LlzZ5eeQ32HzJiQk5PT27tB1O0Y26QrxnZs/wd6eUUZ0rwZSLGld7ptqjUdA7wZKN9V3ivT1JtTtEu1iVQKRHOa+lAY132DJFBlxjLphSRD1dZv2hgYmioVJFJpI4mNnk7+SCPtTSu3oMZVj6G2oCogr4HG+kbY7FYkpSSroXxSlVRUswbTjzoTPcnhcMDlaoTFasXuukr4mv2w+e2wGTbs+K4CNsTBsBioaa6BLc6KjOSBaGxsUM/r6UTi7XPvxPL/LYZ/lxU+tx+Gz1A9mWxOK6xZfow5prBVIlGuFXKe5fNu+1l2dh2ZfsmPsHzlcngrgQR/MrItQ+AzfEizZCHZSEMtqrAdG1WiyRJU+bQDRRiKUShGkWpw7kQC9mAXGlCHRqNOzaQnPaXk/GXlZAWG5wVzeRpRUJivriUJCeE1Lg9O3JUvL0W8L0FVd7kbJHEox23AmeREfsEgNNlcPV4B2Jfwmk0RJ6Xq6upUU/Ou/KtYfX3ohnGkB4kF6XchfyEy2006YWyTrhjbsUv9kGv0IN8yLKztMyw5KGnYEJWeUuYPeWlALP1eZIp2kwxdkWnq8ydnqx+mvVW5xbjuG+TzkR/ycussedETgmd2s7ptMOIM1Hr3qCTv3p1TQ738Xj8a6uqRnJKMam8V4tMcWPzFEsyceVGP7ZvEr91pR/nunbB54lTjbUm8SGLMmRoPd22T2n+rzwqvvxnlxk7EZcap5/X08F2f14u1JStRWVEJu+GAHXEqGeS1eJDlycJB3qFq3xYvXtxp0lr2taPrSN3GOlz0g4tV8+tRmIxUa4ZqXO5Cg2poXoxNqiKqEBNgs9jhhQcJSEaeMRQ7sRWbsBojMR6NqMdulKvqKCecqEQpci1D4LQ54bM3o/Cgwm4dfihxe9s9t+LU406He4sf+fZhSLKnBta76xrxxYrP4BxuxXv3/IvXp714zaZQLEYYmSbJaAZnwMMh20v5Yl9UW1uLtLQ01NTUIDV138WF9lHj7SsqkJ2dreKDSBeMbdIVYzt2uVwuTCk4DMNd4+D3AlZLx5+P3/DDagc2J6zGsuJvu/Qv+10l/803b/Yt6od82xmxgskQHhl6JZUw0f6RwbimcEjSRHokDU8ZhX998w8Ms4zBhvqViGt2INOS12q4rNvfiMbEGjgybDh67Ako8q7Bq++91KMzAh4x4XvYs6YBQy0HqYSUsFgtGDp1ELYt2QnD3/L7S/odbTM2In1cIr5e+WWP7tP1P70Br/z1NWR685CHIWoYnVQdWWGVwXAoxXZU2naicPQIjMoch7yEIa36K8mwzDJ3MQZNylI9vBpWN7e7jsj7fLr6Q2zbsRWJ3gHIQh588MIKO5oMN8pRjEEYimTLAJUMk6RYE1wqgSh/bkQd6ow9KgE1AuNVnyk5S1KBV4yNyIzLQ5I9BZm56Rh38LhWQ/dERX0ZBkxsqeLr6rk0r4/Vy13w+fxYV7wGjQ0Nat/98CIxKQljCsbBarMgfVJir1wfYxGv2f1LbZh5lbAqpc4880z84x//UONqr7zyyv3+S5h8SWfPnt31vSYiIiLqh6QxrwwbkioNqU6QoU2q67JJepXAFxheZPW2H4bS3cwp2kekdt7sWJpXb162QQ3N6qkZwYi6Y2Y3n7/luyXDusYkT0J1826Uurei2dccGE5ot9mRk5iH740/umX2PW/Pzr4n79HY2Kh6I9UZNUi1pAd+T0kSOrggQNbLdo0uS48mOL799lss/MurGOEdjwxrdmB/TPGWBAw1RsHlbUDDah8yjslp1/BbHg93jMLqL5ajtKwU/zfl++3ep6xmJ7w1Bjw+D0agAA2oRSJSVMKpBpVIQopKSKnzpP4HlXiSGfXiEIdEJKvz4DIasBXr1Lo4S5z6HCW5VZNWhrh4A0MP2tfc3ByyJxVSMqwu0j5mba+P0ptK9ZSSGLPaW70mr49EnQsrKfX222+rL9I999yjbr/4xS9w9dVXd5qcuuWWW8J5aSIiIqJ+TX7sxiXaYLj9atiQNFx2udzwe/dVnFslGZWQCLvdrv6l2ZFo7/GhO22naO9MnrNA9Qrijy6KNebMbjJkTCUN9ja/lqRBumOguqkEEHwts7ZZLGjw1gaeH43Z97yNPoywjcV2XxEq/WWqIkr1OIKBLcY69Z1XQ/osFrXdzoZNPTp89+fXz8ZAXx7SLVmoMapQZZTvrZKSHk0+NUQvHolIQybSLBlYvXI1vnfM90K+VsXucqQ0ZgQqJsxjLq0uwX+WvIPsxgJ1bF6LFw4kqOSgvJf0kRqMg1T/qJZ0lPwJgZ5SLX+2qKF80vx8I5YjDg5Y7LKFFc02N175+/Pqs3v52VewvmjTvj5mhQfexyzU9VFey26La7ctr49E3ZCUEvKlfeuttwLJqfnz5weSU6FKxz/66KNwX5r6KPkPYyIdMbZJV4zt2CQ/ZCYefjDKP6pBmiMDdnscUlLkh42hfoy2DHHY98OpzluDSUdO6NFKieAf8uGQqghpXh2NPldtMa6preCeVXIvSRQhsZmYlABPQxMc1n2JJlUR1epnkUV996SCRxqx92RMyyx0Fq8V9jibjM9V1T4pxgC1P05XErKQr6p+6izVaLY0tWzntarn9cTwXTl3G5ZuxDjjEFV95EQS8lHYaoij9HwqwWaV4MkyclFfUxfyuy/LGhtcyLEPxY7tJUibkAavz4vP1nyE4p3FQLMNqchEBXbCgyYkIBFNcKsKMSHvKccuySSzTsuyNxllJqvksdOShEQjBYWOcUgdkAKv34vNCStx5JFHqn2S0T7d2cesL10fYxGv2dRWlyOibXLq17/+tZqd77rrrkNiYmJgu3HjxnX1pakPkf9AHjhwYG/vBlG3Y2yTrhjbse3nc2/ADV/dDKc7UXJRqHfXwef1BX582ew2JDtT1C+yuqQqPPjL23p0f4J/yIdLfjj25DCnUBjX1OHsbnurevJH5KGydhcKB7YkBMYUjMfaNWsxyNrZxAKGiq3ShsiaYHeVzDS3w7IFmUaOjNRFlTTs9vuxa9XOvRVcVmQYMmOZobbzG94e25eGhgbYvHaUoRiZyAsMnwvuKmy3xLUkywwvdmAzBhhZqpdw22SDOVzSarWpSbBKqorx0fL34G3wI8coUNVQcmzSL0qqw+R/0tRcrnlxcO5NFJp1UVDnoiVBJQkpc59a/t9qsSMhKUE1Q9/p247JR0xqlQCSP3fXtamvXB9jEa/ZFErE3cXM5NS//vUvfPnllxg+fDgeeughzrrXT6h/+Whs7NKMjER9AWObdMXYjm3yL/mHnzkVO5u2o6auGnHeeCRaUpBgSVb38liWy/rDz2iZwawnSTWBzKDVFT09zCkUxnXfJJ+XVPp01+cmP/al6fRjc56AtSgJoxwTMdIxXt1bNyehbrsbH634j6rSyU0bBGuqgWrv7pCv5ff74ExyYldDmeo5JL95epIkKbx2D6yeOFRZdsFlqUc+RmC4ZSzGDZyk7uWxLN9jqYTVY4fX3tytyQ1zBr2brrsZM07/CfwwEI+kQEJqX4VSy80cOpdiSVeVVDJTngw7bkt6K6n+ToYPmxvW49vl38CotyLNyFBD/8zG6aqJuWFHPBLU8Dz5nySgzHduWdYyrK9l+GVLsl4SWS335vBLK6q9lapR/ey5P0d/vz7GIl6zKZQDbnlvJqeuueYa3HrrrSo5RfqTC4mMDecFhXTD2CZdMbZjn81qhZHWDHdiPby2ZlWFYN7ksSyX9bJdT5OqApnSXWbQCods19PDnEJhXPcdwYmP6af9GJeddaW6l8eyPNLPUJ53x9w7UbOiSTWdTnDsG7kh5PGhI4+CrdaJz9d+opbJrHru1FqUNG+Fx9/U0mvK8Kp7GR7ry3CpGSUjbYLdFS1DChNR76tGhj8bCUayGhq3zbIeGO5W9/JYlqf7s1Dvq0FicmK37de+hN7jKqF3cPI0NWQuEy0z5ZmJqFb7vDcpJDKQi1rsCZlwUdVJCU6sqV2K1KZMlNeXqeUDMUg1m5dEk8ydl4aBqEZQklANp7TBazS3ek/5nwuNQf2lWv6nhvhZrNhStwFbmjbghDOP7dHEfV+5PsYiXrMplAP+rxpzVr57771XPc7IyDjQlyQiIiLqV2TYUdmq3ThtypmYMHECmnJqsSu1GFWpO9W9PJblsr5sVZVqo9DTZs6agVL39rC2lZmsZl4+o8f3ifqmtokP6cUzMl4qmSaoxwvmPKHWy3aRzYJWgazkliRKKNJgOycjF+49HjXjm8ywd+y4/0P2kEyscH+Nb6o/xpI9X+Grqo+wwbocF8w+Gw8+9kBUKlvkx3lyUgqcRiJ2owyN2FcplY38QKWULJdhfbJdcmLKAf2oNyvVZIhgS0LPvTehl4Dy2pahj5I06iiFsq+vk1/NdqdqlYL2x2xk/vHK97Gjchu8bi8Mv7G3BsqGeItTPT8TOSjFNnV8MvNenVEVeI0M5KAKZYHEk5BqKJl9UN7PjXp1TtyWxpb+VrZmWBINpKalwm7t+dlJeX0k6j72A0lG3X333Vi2bJm68IwZMwa33XYbZszgF46IiIgokpmc5F/SZWrxzqYXj9ZMTvL6gyfnoGJFKbKT8zrcrqK+NCrDnKhv2lfJ1JL4aEsSIcMdo1ScyXYPLXiwSxUlLd+dgk63kVcbPXY0PKua8E3RF/i/8adh8aav4a+1YKLzCNicdrh9jUhIc2LIQUPw3tMfYeV3K1WlVE8npiQRV7unDs22ZmT6pIdTqhqmJlVCMuRL7uV8ZGMQ6o1a7LaVorba3+X+RO16bhlW1WurbrsLhxYeGWjCvWb7CpUEaoJLzWzX0ScRh3jVnDwOcaqqqdnrQbzDqYZIfr72Y7iqPIh3J6K2qRYHYSgqUSbdpWDHvtnpkiGz8RmwWqwoMEZiJ7agwahXVVrJGIDdKEedsQfJljT1XlIRJY3g5T0NR0tfqXp/DVy2WgzNGYGxQ8ar4ZlbVm1UifuevEby+kjUi5VSZmXUOeeco77sY8eOxcsvv4zVq1dj5syZe2eIId3JX1oOh4NlqKQdxjbpirEdu8yZnOTHeajpxdt+ZrJd8aaSHh/+IO8rP8plGFNR7fp2Q1Xk8ebaDVEb5tTRPjKuY1tLJVN5p5VMQn7YS8WTWQUYTt+pfd+d1kP2QpFhr5MmTkb+kEH4uuxjGNU2pFkzVeUNknwYefAIjB0/BsnxSRieOgrVK1wqSdbT3zOJ34b6OiRb01T/OHk3m2FXDbubapvVvTyW5bJetquvrVPPO9BKNVeZB1lN+di8ZivWrl4Hr8+Hxnq3Skp54N5blYRWN+y9t8MOLzzqf6qfk8WmKq8+XfUR3KU+pLgyUOPZg0QkIwXpalsvfGpbc+if3CciRb2PxWLFQOSrvlI7sRlbsEbVRm3GGmwzNqiElBy/7JvNHof0tHQ0J7vgzLfjxydcjhMnnqKS+Sqxvzdx39+vj7GI12w6oEqptpVREyZMwO23347zzz8/5Pbvv/8+TjnllHBfnvoYuZBwqCbpiLFNumJsx65YnslJqkSkckUSBfIjT6Y1l/eWCg7pkSIzk0kFQG/9wGBc950qwHDkxg/GYw8uQHZ2TqCaRxpKS/8eGS4l1SnBsaa+O2g9VEvSHZIckX8ob98LSf5F3oZhAwoxcui4fduFiF9Jkm1etqHHK248Hg+8Xh9SmtNVxZD8T+2oH6jY0NJnSfZPvndSQSXbVTp2queF8/3vqFJNNZxucCHP3pLQ89S5sXb1WtisLbMWOo0kNFrq4ECzShSp/TLPL/xww6USUoYhf2rEJx9/CldzPer9tci3jAAMC0qwVVU1bcHavUktP+pRgz3GLgzAQJVgktdKQJJKOvktPpXiysZgOIx49ZyhFhtctnqU+rYCfgs8FheyUrPhSUzGuMFjMTAlWw3HbJu4l2uVWf3VX6+PsYjXbIo4KSWVUWYyatKkSbjzzjtx9tlnd/qcSy+9FDt37gzn5akPkliQmRaTk5N5oSWtMLZJV4zt2NXRTE7ymcmMVjLNetvPLJozOcl7y49yuck+SSJA3jsW4ohxHdvMSiapzNkfGfa1aOMXqK9uQM6hwzEqft9zXEUu1Xcqf3J2qyF16rujKm+AmpoalBSXwN2wry+VMyke+QX5qqeUGR0lJTswduwPWhI9ts57D0VjqKxUjUjyLc7iCCR+FAswIC8V1aW1gRIlWS/bWfzWQKXU/r6TZqVa26GTamhwUELPYXOioa4Ozb5mlSzag3KkIEMNm2uCW723zIIniSX5n4iDA2XYrrYv82xDlbEbYzEVVsOGTViFNGQgE3lwWhLghbdltjzDj1pUoQZVGIqRakifDFGU47IhTlVWyfs1WFpmdI+zt1SL5mEokhNSUJdegXFDJmD9jjVYsn5xIAmUmJSAMQUtw/fMJF40EvexfH2MRbxmU8RJKbOMVr5sZ5xxBlasWKFunZFgI70vKA0NDUhKSuIFhbTC2CZdMbZjV2AmpyIXnHFOlJSUYOumrWhu8gZmuYqLt2PYyGHIz8+Hu9nNmZz2YlzrUQUon6P0IUqoTUOKfSDi7fFh9Z1SyYphOVj+3jL4GwCnNQFJ1pTA8/wNPjU0zZnqUD2lmrzulgRG/P6H+0Wr4kYqnnwe3946rpY55YS834BBKagpqwsaQtiy3uvx4uuvv8YbL72534qyjirVpFednItWx2tLhL/Zr6rJylAMi2HDAMtA1cepparJ2DsDXp1KTNUb1ar1+HgcimJjIxKRhAQkYg0WYxCGI82SqZJD8nqSPJTnNFua1Gx7MtvhNmxSzc6lwXsuWvZRXj/e0vJ+1mTg8KMOQ5zdjiWLlmGPtxLuZhfWrV2HgdZ85Fn3xYmnoQlr16zF+tQ1anbFaCbuW8022MNJsL6O12yKOCklX64LL7xQ/Xnr1q3hPAU+X+uLHBERERGFJj8kH/75b1G+ag/8jQaclkQ4LTaVkFI/Bpt82LxqK7Zu3oacg9Pxy8tvjNq+hWqQ3NmQKqL9VQG2JTPiSdPxNHsGGvy1HfaobTukTmJzT00Vymt2YqhzVLvtrVYbEq1J8NQ2Yf3a9YjLB/LzB7XbrqNJBYRZcSPH0hNVMHFxcSpd47U0w2pIEqXlO6/2S35TGT5YDIuZq4IHLrj9jXj8lj9jUMKQVlVobSvKpJqqo0o1OQapLvI0uFuqrywWdb7SbZnYgS2IRxJqsFtVNkm1k0NVMlnQLN2mDJn7rhr12IORmIAqVKgqJxvsKMIa1ah8oCUPXkjVlVUlo+RePtV4JKrtXJYGdS2Rbdwy956xBymWAarvlMdww+IAJk6aCEdcS2N0d1w9djZuxShMwIC4zHbH47DGY5B1GKprd+OTVR/iyB8cwusSkU5JKSl5/ctf/tKlF37vvfci3SciIiKifmXy5Mn4av3nyGkYilRLBhp99XurI1qqJ+THVbw1AbUNVfhq/WpMmtS1/y6LlPwIl8oUGf4j1Rad/QCOdlUC9a0qwOBG/hLbwf2c1hWvVpUvfr8PziRnp8mE4CF1kixt3gnEp8ehum43BtjbJyuEwx6P0qpijDx8ENJ2DwjsgyTD5L2lt1KoYWBiV80u3HrTr1CyuTRQ8dOdCdm6ujpYbECzvwl2i10NfZMEjfRdiocXO1CEZjTDZtiQhkzswk7Vs2lI4giV0OqsouyuB+8MWalmHnt9Ux0qq1ch11KgEuA2uw0JjmR1HqSCaRCGogF1KEER/IZPHX81KtWwPUksDcZIlThrQI0aXleFclVVJT2hTC1XsH0VYDKET2buU/2xkI7NWK16VslMewOMgRhoGYRERxIy89MxYEA6XJ5GlLqLkXywHelfDQyZkAomMbC7phzTvtezs5MSUZSTUjfccEOXX/jee++NZH+oj5C/gBMSEvgvEKQdxjbpirEd2xYufAVpTQPVD9BUbzVyUIB4y75hIE1+N3b4N6PWthsDm3LxyiuvYubMi3p0nzpqkLy/IVXRxLiOfZK8kVnfhseN2tv3aSfcDe5AuiI+MR61tbXIcwxHo7cBhUOGhz2kTqr3BiUMxdCxI/H52k9QUluLLNsgVTVj8vibsMu3E0aqF2mpachIz0Ddxjos3vS1qs7qaBjY2pRVLSM/fFZYB8iMdRMD27iKGrHg5ieRPynrgBOyqampiHc64PLXw+qzoNTYjkSkIh/DkVSZiaEWu6o2k+ohqWCSWe9SbGmq11xHzIqyNWvWtKtUk95dMlRSjn2IZTQ2x61Dc3MzUq3p8Hv9qHfVqMRSDgarxFESUpCCASqZtBPbpaYLhZiKIqxS/Z8kOSXbSWJJqqiSkaaqqkRLEs8fSOaZ5DUkseW3JGCAkYUCFKpG5674OpTbt2JAZhpyRiRjg2c5CgpbGoa/8OeXYKx1/j973wEfyVmf/czsbC/Sqvc7SdeL79ztYGMDDgSH5COEBGwgYDqhhfKBgS+xMcVUOwRMCqGEGNtp1IQWjHHDBd/5+p3uJJ1OddW1vU35fv//7KxW0qqe9k6ne5+zvNrdKe/MvDOa95nnef7IJFKcf0UgFZeqZ6HIlDtlkm8ZLYXGshbs++3+kl8jBZYPcc0WKAbJKHWd0wsQ9IeR1GH0h5P+UAgICAgICAgIlBJX77wW4e4kKtVa1hSM6SHOXKFy8NZrlVzH004owyhr9+CZI78taZv27dvHZMLsil3FbE5U+vxD97ynpIHQAhcmqM98+H0fwcEfnoAz6eXcJ7KJWchqaRwPH0Kz0o5AnQ87dm5fdMDamT6Kb/3wn/CmP3lrXr03rXw6hkQ8kSdCPF4PtjXvYOXTycxh/N9PfwBv+ZN3oC61ke2C87X5YOQZ+Iwgrrv6epSXlRWdbiQWQvklZgW2lQyyLWvsn9z0atjCLrbq1aEZPmnu+EOWbDitHzdVSA4dL3npixdcZzKThNGeYJWS3OVlMo/W9+jRX3F2l7XttM6TscOwZx1su0shhZPZg9gj/Z55vkPDJMbQh5NMMzngQBPaMIx+bMEe/r4fndiArTiMp+FDOdqkHeb2EQlGKi82/lFIOv3Tcz9AAlH0GidNi7Jdw0v/z0vwV7e/jyvWUdaWZZWkdrz25a9Hu7ITJ46eQF+oF2PpEH9uHWearspZh+a6FmzbuQ2d2SP4t59/T5AfAgIXAK+yJKWUgMBs0B8B6mTUucTFXmA9QfRtgfUK0bfXLsjGNDwwgqBWh4DNHCiW2SpMixOrDGaWrE9qUYT6hvP2p1LBCkheis3pXFQpKwbRry8QGAbbvhxGEtWUT0QERS48nOiJFJKssrGqzC0GK6C70JrGoefljfwzH3lKfZdUQV4E4JbmDzufyo7DowXmtQNaqPHVoftARz7jaqXW2F1Ne3AsfBxOuOCU3Ezg2GQZFS3lmOwLQ9NJKZWEJmlwwwvZMT3YW0xR9pHPfBD3fvg+tDm2zsjuyu8TyYZtvj28zX3JTh4dylmLQNLQiw4mpZqxBVMY5WDzCYyyQopA1yc6HnStcsPHJBQdU6rVR3tegZ0/oyUSgUQ/BlX9k8zqfXSMGrfX4H+f+MWM7SkMDLcC8zPZDA4OPgdX1osWYzPs0rRCLWukmaii79u2tJ2z6nsCy4O4ZgsUQ+nuZATW/QUlmUwWVAMREFgfEH1bYL1C9O21C7pBz6SzqJRMJZQFLmsu2ebcuFdK9awioPlKBeonFJBst9lZWUF2psp4I9rlndgob+NXek+f0/c0XV/nwDnvX6Jfr32QEih0ZBwv2/NHqGmpxKHU03h64hE8N/kkvx5OPwNPwIVyXznS0cX7NSmAqPokkQ3zhajTOaPY7HPOHSJP/vP+7+OanddD8duQUGOcY1UIet+X7Ea1vR5BfwUG+gYWbI9FyJ6NNfbSDVchrkRQg0a256WQQBwxOKpsiBlRpKUEbDY7fycpQMBdhv7ehdtFIGJm586daNpbi5HYUC67q37OdLSfvDYfdtVfij994WuYRCIF1WmcRAxRVmcFUcmEEuVbEV1OpBQRiVwlj4lqNUc6yUgTgZZTQyFHTHHVQJ47ay6f5pZSuPTGXfjNM79eUEVBiilSjP7gN/+OqmwDGqVWztiTJRkyBbRLMr+nz+l7mk41siLnbg1CXLMFikGQUgICAgICAgIC5xF+vx/QJK6AtRRwpSxNMucrEUhhIOkSZ8+Q1adB2Tgjpydf7UrZCFckwNORkoHmExCYrbirdjTgsWMPY7RvHJe4rsHVwRfhsuC1/ErvHVk3TkWPwyG7FiVbKPT6dW+5ZTpEPZNcUjtouqb2Bg4s9zm92L5zG9p3tsLwalzxL65H+VX3qHC6nQgGKmCTbZx/tdDw2e3woK9reYQsEXWkkKr2mUQ0b0tZMwyFqJo0ZzpRRhOROU7DBcVwIGtkoNlUBIPB6XYtsk4i4Yi8o9yrst0ujIXHmNiaTcIROUck3dYdW7ktGTmNDhxgex2RTRRC3oGDSCPB88QQhgsejCHE7ykU3azAJ6Mi9zvJ3mhe+uE8KcnIkUgyHE4HfOV+xF2TyMSzbKcke94H3/1htg3P3i5q0+DUIJxZD8qk2ZbLmcQjfe/MuhEKh4QSR0DgAoEgpQQEBAQEBAQEziPITuRyOLm61VJA0zmdLp6vVCCFwXh0bI7VpxjI4qRFJJ5eKBMECkHkQn/nIIeKF5KbpgrQtNbR+82uXcgihf5oD5ILkC2k9mnaW8OZQ1aI+lCqd0ltITLrz97wp3nLH62b7GI7d+/AZVdfip17zddtO7fAqRRaviS2yi4Eyyq20H5Ipcztop/vfuN+1Dmb89+z1RB2uOxu6LLOFe8SRhQZ1kzFEDeisDlkDojOGOkltctSlHHlTqcTn/zcnWjfOpeEo/dEzhFJp2kq/uuZB1GtN7I6iogxet2JK7FDugKt0g7+acZmXj9VAgxjAn6UIYU4nPAgjSS3O2aEcwa+XPU9SYIkS1CcCmw2GYORHtj9Cq6qeiE2OXdyNhhlX1FFz9s/8LE5+/P0iW6UGQvbKS2UGVXoPt61pGkFBATOP0SmlMCKwDJfr1c8gRBYdxB9W2C9QvTttQsaMDa2NSJ1IgGPNK1+ogGnCpWVDYXZUSkjgabWxpISQNRPotEIqrFxSdNXogajsTPnpfqe6NdrF0QshMNTi5KbdPx2B67CvsiTSKVi2JbeAp/LN4NgIVKJCClS/VjHm3Kc2Jp2aIgrzs0Hi8y6+uqroUtfm7aoDgygp7MH2bTKBAqRJ4rDhrgcA/KRU8ai2W2kSJp9Ploh5qQUI2JuamoSA4MDbHtLRJNMwri8LjQ2N7DqcTw+AlfGD0W3c24UtSc5qMKHgBkNrqpwqz70ZrqxuXz7ou2i/UVV6yyQYsob8KK9YjOHpnNIuGxmew1O9uGZA0+iY/AoGvQ2VKMCgzjNdkKfVM5tpva44GXLniZlORvMY/jQgxOoQQPq0YJBnGESrQFtmMAwk2tVlCFmc0CySbApMjJGBgPpXiQ8Ybzm0jfMOHfnq+hJVRCNlAzFprAtz7QDFgdZA2k6PWnOZ7NNh+oLnH+Ia7bAqpFSjz32GL9u3rwZ9fXz/wEQWL+gC0kpbQMCAucLom8LrFeIvr22j82V112GZ88cQSqexIQxjJDez9ksREgRMUUhwnVyEyqkWmjeLK667vKS3tTTQLU8UAE9tLBCxAK1r9wXzIdXnyuIfr22QUTNwOAg2mWzQt5CoPy0Pb6rcFR+FtLmFDo6u/Oh+qT4IYKFFFKF/Yt+J5KKCIyuAx1ocLUwsTEfmUUkDFn+oh1RHHzuEPSEAZfkgUuaJi70jIaUmsZwYhiVwUq4fK5ZBrGZSGYSaG43FUmzQ8z7ng8BKRm/O/47OFNeVKKeyZ241gfNQWowGd3HepCwRxFPxwBdgkPKqbQMIDwYZUUShYbLqgMBqQI9egdGkyFUVFTOe64VKsoKybGO4yfRmexhKx0UA5qRxdjUODzZAEa1QVSjCTVSE6u0AgiiTKrKNcWsmkeZUXRNcsDNGi6fVIZqo4HP/wH08LGi1p7CQVSghsPae40OJoZ8Hh+yegaR5BSqqqvxR3vfALtSnFwigrH7wMl8gPzo6CgTUV7Fj7ga5Xbb4eJrZP64QWe1nS4ZPJ1dt/N8dXUzs/oEzi/ENVtg1UipG2+8kf3M3/jGN/CqV71qJYsQuMBBf+AmJye5HwimW2A9QfRtgfUK0bfXNl73llvRs/+LeOJ3jyGoV2Mr9sJpDU5pkGukMKz38oD9uu0vxOvfemtJ20OD6nJ/ENmAjEw0BYdt/gpWGS0FV8AJe8B+zqtdiX699kHE0uwco/lgl+zwOf348te+yO+pPxGxtdCxpe9JUUMEBgWOU8W5hcisW970GrzxRW9HfaYVrlk5aQRSEdXJzZjQRqBParh0+54F2zxbkWSFmE8ciKG3txf9oX40aK0ok03rGVsTjT6oGQ3hqQj33WPj++HXyxHGOKukCNTemk2VGOkcz9sZbYYdjUYrOrPHcFnFFUy6LUTCUUEEs8LfCAeyv7D1peg6ehqpZIq/G9H6oegOzojyws/KKLLfjWAATWg3s6CYOiPSjiolavw7Vc2LI8V5UUQ+9aETDdjIxJAha6isrURtaxUO9DyHMsWLrVu3scKpf6gXl/lvwoaq1kXP18KKntXV1ayAIkLPpwSY3ErrCehEgucUbhR4TmHndipNmFNM0XwCawvimi2waqSU3W7HoUOH0NjYuJLZBdbJBYX+mJ3rJ6ICAqWG6NsC6xWib69t7N27F/u6nsVGeSuCthpoqsbKBAsOyYmNyjaUGRU83Z49Cw+UzxY00DckHVt3bEfHsQ4kIjG4qNqVXKAo0TWk9CQTUhSQ3Jk9cs4zpUS/XtsgUqmpsQmpU0l45Gk73nyg/kTTW+TmUglOOvZEXtAP9YWFyKwTJzoQyU4hiAQHihdDQA5iUO+BpBuIxWIoLyubMw3RRMORATQWZFwRSJVECqm+vj5kJ4CgVp0npKy2Up6WbuiwaTZEwmHE1Rg2Yw+G0YdJYwwuuDm/21ZWyXY4WhkRQaQWSiPFmU1/848fxYPf/rd5STgCZTOFD6W5wh/B5QCSahxy1g6XRHlRzRhGL5NJpMgkQs5hmAokUpBZoO/NLTZVU9QO+kkiwUQibQv9k2wGtl+yAxXVQYTS/Xjpn72Ys6wIDocDt9z8Bmx0tC3pmBLZRttGx5OUVnafDelYMk88WeQTtcfKrrKQ1pOcVyWse2sP4potsGqkVEtLy6KEFD0ZoOkEBAQEBAQEBAQWxoMPPoTKbB0qHURI6bDbFQ4GNgeCEt3J86Cz0l6DbCaNhx76N7zudaVTS1mVzTJdaQ5AjkQiXBUtHo/nql0ZnIfT3tLKpdxT2VQ+VFlAwAIRQ74yL9SAfcmKO1vADOZeKagPLkRm3ff5r+MS31XoTXUhkY2gUqrPVb40zzWqcjduDMHj9CJjJPFMx+OorP5jrrJHU4TDYZzu6cZA7AxUXwpbHVvxoff8Xw5dJ1KMbHK2jJ1ztGLZKdRLc3PZquQ6jGsh1KEZ6UwakiEzQUYEyxB6EEQ1qtEAB9W4k3ysUEogjn50M1lNy9+5cye+fN8X5yXhqIodKaQsQgq5tnsULzTFwGRqHLJhQxZmwQSqpueEi+vlmcqoaRBJZRr4SDmlQ+I6ezI88PF1iRRTfTiJYHUQ8eoxVGxyzVGoUdC7FTK/VFgB8nQ83/qBN+N7n/xPtMrbZx7vIuZKIhTf/oG3LmtdAgICFxgp9YpXvAI//elPcfPNN887zTXXXIPBwcGzaZuAgICAgICAwEWBr33uPjQqG+FyuaGqKpLJFHR1uhqfrMjwuj1QFAVN6kZ89XP3lZSUItAg+54PfQ1tjq1cpaxsdxkPgCmAnbJ5CgfAsy1MAgLT5GYDDMON3lO9iyruWja3QN6UKhm5SX13ajiCZrsf25RLMJIM4XTyBFedI5MhkSs2m4JG9wa0uymLSMLvUr+B3hbH8c4OnD55GvFIkvPTLt95BerKGritya4kV41r2FONvlMDGAoNo1JqwJg2miO85iqxxvQQIsYUXIapSOpDF4eC+1DGdjoip/ywodfo5nBxIoqIOKIqd7pmVvFbiIQjcowscIUY6B2AQ3YhjEkmc2yGwna9IGqoXh6TbkQEWba9QtD0lBdF9DhNZSmUqF2kklKCBp44/ghfK4odPyLNdGlpGXXFAuQ//vGP4Z//7lsYnwqh0jZ/ThSRfclgBLd/7KPLWpeAgMAFRkq99a1vxXve8x6Wp950000cIFdY/YEuklTtQGD9gv7Y0JNR8URUYL1B9G2B9QrRt9cu8gNlxRycKoodfj8FANPAMyeYKlADuBQPJoem8uRQqVCsshlbj2ZZYgpDlc81RL9e+7DIzaUo7k5HT5WU3KT1ExFDY5WJ2DgU1Y5N8i5IMuUl6XlFUDadwoQ2jgpfFbx2P/76M5/A3Xd+DuXpKtQF5ioCrapxgwf60HW6i8PNa2SFCZ5ioPlbla04rXawWoksedVww49y3i306jfKIZ/2oMFo5XbJktm2IaMXYwjlSali4MqCXUPY4riEiSbK8BnqH8LI0Cirsoj41gyNa9gREUdk2AC6oBoZ2CUnK5pIMTabUKN2kJKK8pro/1RdL2MQTRbBfzz4IMrLyxdVXxKBV5iDNR8oH6tQfUnXneeOPYMrdlyNyOQkGuSNbOUrtOyRQooIKZpuLVj3FrOSXowQ12yBVSOldu/ezR2JqvDdcccdK1mEwAUOOv4ez7TXXEBgvUD0bYH1CtG31y6sgfJyQFHDNN9Cg8CzxXIrm52PQYbo12sfFrk5eiiEmrJ6VtwRoZpVM7Arjjyxei7ITRoMU3bSRGwMNlWBUkC6WAQSqX+c8EBVMzyd6sqis7MTAwdH0FY2bYUrhvpAE56IPgq35INsN3Oe5gPlN7Up2zGaHeRMpnKYle7M6Cain4D4WJyJIKbvciRUEFUcLE65PF6vGYo+G2SVi4XjODx0FCOhEUhZquTpgJ0ytAzaPjfb9ohcouUT+RQ0ajGOYdShBRWg38leWDyKhTKtzBYCUUyxsuoFL3jBstSXi6GY+pKCy7tDp/C5uz+Pf7r3n5GNqpxtRdtBGVJk2SOF1PkkpAqrHRIxaCrJNCbkLIvnxUzIiGu2wKqRUiQRfc1rXrPgyfgf//EfK1m0wAUCupmYmJhARUVFSZ/SCgica4i+LbBeIfr22gUNlDVJzb0zkM2qPKjUslpevWGz2/j+i7OmIEFDlucrNZZb2excQ/TrtQ+L3Pzrj/wNfvfEk5gaDSOTyub7kcNlR3l1OS65bnvJyU1atuHSkJxIwScRQZWdYYNjmRIFjNtkJqySmQRc9Q48+J1/Q71r8axcWgZZ+8bHJiA5JCg2BVltruIoPz2ACkcNlLSdE5vM891shyxLaNhRg8FjIzB0aiNNYU5FRMx85z9dO95527twcN9hNKitTEDR9ATTcmeumdZDmVX0HS3VhwAmMYyoMQkfyjGBEf7dLwVnLJ8UUgSaZtIYxhRG4ZX8SyKCiqkvi2EhgpLW84n/93H+IWfO6Ogok1VrQRlFqqjCaoekVLOQ7Erg3g9/HY17qrmfn+uiEGsF4potsGqkFHmFv/3tby84zS9+8YuVLFrgAgJJfwUE1iNE3xZYrxB9e22CbszLawNIhuJQExomsxOY1EdyA1TzKbusyQhmahC0V0Dx2BCsLz9nN/TLqWx2PnCx9Ou1uO+XBUmCQ3KhCh4mVyz7HpEjNinvUy05YZCKpRHGOLyG32wWcudRgRuOig1Iks7TNbc25qxwu5e0nt2te/Hzkf9GRk8xMTEeC6FOKk5oESlnd9mZlMogDdIzUZU9k5gC7G6TTCLQPqNsqSzSXPGOlFJut3tG36DXF13zEiSO6khqMd46RbLzNtI/k1Ayl23mR5mZULRumq7Z2MwqrBgiqMcGhHAGcSOKStRBkSh/KsUZVDTzCPq5LW3YiaFA95IqJa62+pKIKIqRWQugfU/bVVjtsBAUlE8Wz5FDIZ6OyP4L8jxeBVws12yBEpNS999//6LTCFJKQEBAQEBAQGBpePdH/xKfecuXoGk63IYHjWjj4SkTUrCxooMCfCf0Edg0CX/9lY+c7yYLnA8rkCFzWPSFZAWyBuuRQynsabgcaEDRwHxSz6zmYL2QxCPQsqcOJlGhVGMSk4gYkyiTKorMaJInYX0CCXsMLn0DpGUQwBR+7go6MJg6gw3OLQjZ+xHJTnK4eSHIsmdTZGhyls9zOt+JNCLVEv1OJBJ9Tp8RQU3XAEslRXlQyWQSR48exQPffoj7RjQcw8GDB5BJUkZULZNYEUxwPpVFclkkdx6SBLvhQNKIwy15WdHVbLTng9Zp7WmMMwFlM8g07GQCi1RVVahjpVUMUwhU+pZ8zNa6+nKloPN0drXDYqjx1aH7QAdvP52/AgICKySlXvKSl8x4Xyxo85JLpuWKAgICAgICAgIC82Pr1i0YMQbQqu/gQSdV4qLBozVYo8FkJWqhGE706MewZcuWc9a29UCMXIiYtgINs3WsUKljVXtrzClK1rIVyBysD88YrBcLzCc7V/eBk2c1WJ+vr8o+YOTwBHypICLhCJqMNgygBzEjzCHfjgJ7XcbIcJ5SypbAJu8OpOJpyIGlW8No2y7ZtQeh8UGEevqxybMDnYljSGQjqJTqYWfySWNCynDqmHKPIDOZ5up/pJKi70iBZOSym1JIMqVEKqoMEpz7ROTUDXtfAiXmRqWjFvGpBIyMgXq0wwU3Qujla0YaCcSMKQRyFjzKyyILn1U5j15d8LIFj641RIhR0DlVAPQjCMkgq7BFjGmYxBjqUQYvAshISaSQQMoRQ0N1Le/7pV4H1rr6ciUoVu1wPtB0RMgJUkpAwMSKdd/k36UKfC0tLewJJTz99NN473vfi6GhoZUuVuACAf3RCAaDF/QfDwGBYhB9W2C9QvTttY2vfPGraPNsxSgGOTi4Ea1ol3Zio7SNX+k9fT6GQbS6t/L05wI0WLz9Ax/jcGK5y8vEyCbnTn6l90SM0Pc03fnAeu3X01agFJM5s6uVcbW3wBZMHUrydAtVYlsbg/XF85gKB+ur0Vc323fBmyxH34kB/PKH/4v4ySzC/XGktCRckgcN2MgkUC9O4pRxGN3GcX6l96QearG3w6P4MDA4gJZNTWwtWwpoutatG/Drp36FzS9vRMhxBnWuRni8PvTKJ9ElH0XI3YPTzmOINA/h7n+9kwkiynAiMx3Z44YxgJDei8Mdh/g1hD6cwUkmgWrQCC/pnyL1cEX9mBoJw54xSUkiomjbiGijaWrRwgRbyOjlanp0lljkE70PGWeItmJyKmFEmeyidSQQRxIxJKQYMlKKzy9qVwJhnjYuRWDIBnSnimB9EFWB6hVfA2jZZP27kM9hq9ohWfSWApqur2tgTZ+3pcJ6vWYLnAel1MjICK666ir09vbye5/Px68UMvfUU0/h2muvxZNPPonGxsazbJ7AWgVdSNbyUzkBgZVC9G2B9QrRt9cuaGBy4KmDSEQynONCKgRSJZiDSFPNQK9UCYtKr49E+7H/t5FlKRNWgxiZDSZGOCNldW1Xy8F67dfF1EXFsBrqonMxWF9qHhP1KbJzLbdvz+6rqqbi0aO/ghYGJhJT8OtBBOQKtsypRpYzk0ghVC01oBoNpp0QOhM2HIZOtE1GxVhsGKpTxa1vfi3u/fB9y6oaR0TLt773TT4293/zAfSe7EOzXAvNUNHQWoe/ePvr+ZjRw3wnXEggik4cQQBBJqGJMEMEqIKB0ziOCtTACSe3nWxzVHlONVRWRtG0RCKRwc5M6yLDnsR2vEajnYmmfnRDN0z1JVnwCERwlaGSrYIdOMBtC6CC471o/xARZRg6k+FEUDUrbVw10LDpSNpjcFc6cN32F6FLPbYuz8Olggg5IgSXAzoONN9SsrjWE9brNVvgPJBSd911FxwOB/7nf/4HV199NXbt2sWft7e347nnnsM73vEOfPazn8V99913ls0TWKsgy6ZV7UJUThBYTxB9W2C9QvTttQuqljU+OoEqNMAvlfNnrGYoeIpuDZQpHyZmRDA+OsjzWUHHFysxsl779UrURWuRlOLBuiGXfLC+b98+9O4Lob18K583Txx/BO5IGZNQcTUBnYLUc9XniICZxChapHImbizM/t1m2DGQ6kGw3I+dO3euqGrcUmxqVEDKsuiWoZxJIQUKJFlC8946PHfgd0jpSRgY55aFMYZW7IBuGLyvHHAjiTi1mLeQl2xmyLP9TpUyfN2gH2oD0W+0fQkpypZBFzxIGgnzM1sEU8YoVF2FTypji2UWKcS0KFyym4ktIq4UxYY9bZdhZ+MepNU0Z0FdzMoXOqYzsrqWADrmFyM5s16v2QLngZT62c9+hu9///vYs2dP0e8/97nPMVklsL5xMUpOBS4OiL4tsF4h+vbaBVXSogpXVrl2C2YFPrlg0GxwwPBQpqfkbbpQiJH11q/PlbronA3WJX3VB+u0rUTKWkHfv/zJr1CfaEVYfh5JJY5MQkOdK4hjkQOokzaw9Y1A55LKkeEZDjo3bXNmRpNZnU7jQO8K1DKpo8pZjI+MMUF2tlXjLJvabNBnlB3lJuUWGrh1lCNFbRq2qWyaa8V2OCU3K6OIVPJLQZ6HpqUEKiK0qPUUbm4Rb5QJRZZAUl6ZtfYkboOl6CFFZhxRVk1NYgT1Ugsag01weBxwBhX09J5GPBWHV/Vjs2s3yv3BfEVQUnGO9g3hsfDDaGxqwkfe8n6cD6yVPCpaN2XsJbsSS7LwJTMJNLdfvETeertmC5wnUiocDs9LSBHIJxqPx8+mXQICAgICAgICFwUURcmHHNO9ehSTBQNls1oWqU1ooExqB7NkvI3nKxXWEzFyoeFcqYvO7WA9OScXqxiI3JlPdVMYYt57qh8dHR1Qoi40eJshxxWUOyjjVkLPZCdqtWZEM1GoWhYO2QlZM4kUq6pdM9pxAgcQZCp4AxxwWuIiJmmo2hwluO2Sr8Cp+OGSVo2LRqN8PpvkEQ3O7Hw96MMpbMQVqJBqmZAiAi2NOH9Pv5OFj34n0oqCyVVkmJqi9lOVPA98nCdFJJtb8vH2zW6ZV/Jj1BjEpDSCXdWX4vKrzKIFpGZ5putJ1GSbUeWogddP85MWy+yXDsmJBnkjRieH0FvWhb179+JiL7xA677nQ8uzeAoICJhY0d0MSe2ImCK5aTEMDg7yxUxAQEBAQEBAQGBhDAwM8ECZKm4NooezXBrRxgNOC6SIoKpbRFZRQDMNDmm+jRs3lqRN64kYudCwUnURRWuQeuh8q0aKD9a/NmewTuSCpquwyUq+vbMH65YShnDH7XeynbTO2YzhzlHUx1tR5qhANpVGOpZFzB6Dx+eFpmtwyR5k1SwMTQKdRlVyHca1EKqMBu6nVN2yBZvhhY/PrSTUgvw2oA7NTBL16KfgsDnyVtlSVI2jbF4ixYgyorbQeR/BBOdCmf/obDfPRWodkdUEM7ScpqYcKY2np3d0HaHPbZIN1UYjunCYLXeVBVUGiXwjko6uJ0k5hspgJepuKMfJ8GHeP6PhUdT5G1BTVgs9BRi6DkmezkzSdY0thZXBKjj81Thw4MA5UUmu5YqUtP2klBs5FEKNr27e6UZioRkWTwEBgRWSUtdffz3e9a534dvf/vacE358fBxve9vbcMMNN6xWGwXWIOiPb2Vl5Zq66REQWA2Ivi2wXiH69toFFYYhS9EZnEItmszsl9w/CzTIpO+oAh9NR9OXsqBMqWxXq4312K+Xoy4iYuTMWDd6Y2dwy81vyCvrzrdqZO5g3cxjqvbWIRQexPHeo0jE41AkO1vS3B4naqvqsfm6Day6oYwoSwkj6RKOdBxBrdaEHW27MJWYgB6RUKaY1b8V2cEMja6S6ijCpAp/LilMxlBQd0AOYkwPIWpMIossyuFBGYIc2k2KI8qesix8smQSQAociBsRxI2pots1nx1vuWCllCTDYTjzljw6xzfoW3HmyAB5eJmCItseTUdkMau+JFJMEedG86XhhJsJKeoDFFBOoecUnk7bQerKAXTydtK1hK4fMlVBs1ehuqoSl75qB770d1/IEz8f/+D/g1zuhcvuQiQSQX/vQM4FY+rJXF4X2ltaEQgEkMqmzol1d60XXqB1zbR4Ns+w8pFlbzGL58WA9XjNFjhPpNQnPvEJvOAFL8BvfvMbJp/oYkokVV9fHx555BGe5umnn16F5gmsVdCFhMIPxQVFYL1B9G2B9QrRt9cuNE3jQSTlyVAZd1MPYea/zMzgMPh7CiYewxDPZ7dPq6nWqu2qlFiv/Xo+dVEhqMLcE8d/g/hkEldsvwq1jml1BmXb3Pvhr6NxT/V5UY0UG6x/7IMfx7//x79CibhQplVBhhPj+ihTr9FJGQPDAxws/sZbboMeklHvNpUwQ1MDKItXoVyuRvexHpzOdGCTa+eM5Ss2BZqmQlJNtRFxJ9w3JBtSagpuuwetylZ0Z08woVNJmVEA50qRApGIPMuKJxs2/p4scZVSHcbVoVVX/+UtaN98EKc7zkAzNLbfEbEUxji3hSrnaRnTwkuEVG5ONhxSVhRVziMSjcg0IrApHJ3SqEzSKcuf07KoYicFuwdRnVNfmteX8poyuBoVbLu+HZ8qIEmorwx0T1t3yRlTtrvMrFCo6+yYKTzfzpV190IovDDH4tlVYPFsX7nFcz1hvV6zBc4DKUUn+A9+8AO86U1vwr/927/xZ//4j//Ir3V1dfiXf/kX7N69tAwCgQsT9EdpZGQENTU1onKCwLqC6NsC6xWib69d0EDG4/HCnzAVUjTEpILus8NgrRBjP8p4+lITDUshRs53Rsp67deF6qJi1d7MCnO/gW3KhdaKJtRUzbQLkULDVI2EzotqpFh7n/7tM6hMNsIn+dkW5zK8aMEW2EnpJAM2WUJ313Ec7+rBhoaNcOww+/eJvqOokhshy5SN5EU2lUVWy8LpNy1vVtD+eCyEOqkZ0CUmnojUqZLrMa4NowmtrIpqU7ZjMjvKhA2pkYjgbUSrmeeWI2soBN2yytYaTaw0Wk2QFfCdb/5LnHi0C750EIZu8DqJmCbV0xSTUgoMWcemy1rRv38EGZ2UUC6+BvgQwCgGETWmUCZVzFBUuuHjSnxEhJDKi0gpquZHy+6FSZC4XE5cdd2V2LClBa97yy1zSJL5rLsWmXC+rLsXSuGFUlg81xPW6zVb4Oyw4oTMP/iDP0BPTw9++ctfctAgYdu2bXjpS196UZa3FBAQEBAQEBBYKfwuP6SEmWlDhBQpN8zBpjStnGJVBP0uw+/0nXdixMJIbEhkpKwirIHsJz93J+coFav2RpY9UkgRIbV1+9Y5AdYWKNum+0DHqqpGljvQpunfcds7kT0to8Fej+OpA6g06uCXyvPT2CQZU9kJuHQvKpQapCYz6DjWgW07tiIRT6JepiIARCVppoJI1aGqKhTFVAqW2ysRsvcjkp1CEDUYN4igamHb3qg+iIg+yb+TVdDBVrbTqEUjPPAzIUQ/05lSEle4JOtbH7rhsbvzmVJnC1rOi6+5CZmTMmwZB8JaGEPoY5IswSHmTrYXktLJIptIAWXa+lROl8pKGWw0tqITR5A0Yqyc0iQtbz9UDAdG0Y8xhJjAMq8dBnxOP9p3tOJvvvYxXHvttfMeu7Vo3b1QCy+slsVTQGC946zKttBJ9sd//MczPuvv74fX6+UKfAICAgICAgICAguDBvhqUmNrXhopjjw3K2xZT5HNcGMVaX6l6YZTWsmVCXMzUmYSI2TZExkppa0o1tBWhz98203Y99vnZ1R7owwpsuyRQko6B6qRs6l4RvPtf/QQajMbEEoPwKG74JMCTDKZCwdU3eBKcRTwLxky29aS4RRO9h9HODqFEX2YqRXKRKKAbUmWkEym4PebpBSte4tvN07GDgMZGZotg4hmElEbbJsxqPQgmp1Cha0aGTXDxBVlLhHR44I7lyNltl83yE5LYeF2JnXC2uiqkHf0/rbX34bhwxMcuG43HHy+U4ZcCnG22bnhgY4sH2Oy9FlEmRteVkDRNYE0VTZJQZPRzmTVGXQgYUTZbmiRauWoRBt2mAHosoTaYANirgnseeHOBQmptWrdFYUXBATWN1ZESv3RH/0RfvKTnxT97vOf/zz++Z//Gd/85jdx6623nm37BAQEBAQEBATWNSgXKpPN5CtsEfFEA09TISXn8mSmB3w0XSaTKVme1IIZKQXECA1ERUZKaSqKWZXpMl1Z/OzYw1xR7Ls/+hZPT1X2KNS8MENqIZCVj7JtVqoaWazi2T0f/BrqdlfiM1/6dFEC4P5/fgDJyTT0NDBmkJWurYBwpV5umNubU0GRvcfIahg0emA/7uSach6JstbM08Cm2ZFSk7DpCgzf9DZRftQ23x4MZXphBLI4M9oBX7YMQaUaW2t2wlmhoG+8B9neNLwIsB2OVEikR9JzmW3WSlySG6qRZVIqlD6zZGKjGHlH21W3sQaXXXspfvHDX6FN38kkEwWVDxt9qEMLJjGCBrTiNI4zqUTtmsQwFOzgawGFsdM8RKIlEGMSi+yIVKnTb5QziR3GGKVgsXKK5qf9Uh6oht2hoC/TiT0v3LZk8nitWXfXonpLQEDgPJNSVBFjPvzt3/4tXvGKV+B973ufIKXWMcgDLLzAAusRom8LrFeIvr12QQVjsnoGMVZKeM08mVyClAXLvkdxyDQdZebQfOXl0xaoizEj5ULv14UVxVr9W7gy3dMdVJkumSf/PF43ErEkT/f5v/2cqRrJVZgrtWpkvopn9Dm1lfKeqK1HDqt4+L+vw4tvvpFziizlFE13ZP9R6GkDMMwKckQ8FfZti4ilNvLnuoEzxikO8vZKfgzYupHVzIwoQrVcj0ltFDVGI2KxGPx+srKafZHUV7Xl9di5eweTW78beBK1m6uRDpM9D6ivrEVHnwMOw5Hfv3Re0dk1a8u5eh9lTdH/l0LoFZJ3dc5m+JMVON57BOPhcfz20Sj+6Z++wRX/LEIKOSKOyDE6r2mdHvj4M/p9VB/CkX3HWVFFdj5qB/0EUM7EFGHSGMEURjmbqwYNyCopTEgh2GwyAr4yhKQwaLftvmkbvnn/Py/5PFlr1t21qN5aLzjX1/QL/ZotsAbte8VAAXgve9nLMDVVvHyqwPoAP9HSNL54iQu+wHqC6NsC6xWib69d+P1+DjKewhhb88xcqbmkg5UZQ5W0MnqW57vYM1Iu9H5tVRRr8bbj0aO/gh6RONS7Xp5WeGTiaQxHh9AZOolX3fIMrr76as5WOheqkWIVz8yqf4/MbKsDSMRiiB3QcO+H7mNlF6ly6Pj0nOpl2x31ayKCCIUkkNnfTUURgQK8SQFE1jvNUFHnbMJ43MyIItDnY3oIUSOMMjU4I1uKrH3tLa38+1hiGJfesJuVfgQaeCcSCWyr2YVB7Qx/ZhJT5nllVdzjtlGlOW6vwmRYJBJZkAAuJO/oWNL+UcMGppJTsKfd0PQp2HOkkgNOFmVxpT/Y8hlSKjS26BEZFwVN78CIoxfeVJAVWw7JxfMSiUZE1SgGOPCc5h1GH2rs9djQ2IoXtFzH14Z4Oo6RzCCaL63lY7EcEmAtWnfXmnrrQsbZ2HEv9mu2wHkmpe6666787/RU4lOf+tScqjCEbDaLQ4cOcflQgfULOvbj4+PMdIsLisB6gujbAusVom+vXZAVj4bpNCAlFVQAZi5n4XGi40cDZyrunkKCh/I032qEL1/IuND7NQ0KSVVDJIY7UoYypWLONA7ZiQZ5IyaSXnzgHR/Cbw88kVONJNiatxiSmQSXo19qKHmhamJ2xTOz6l/xtrpkN8aGxlmlRAobIjQ+++XPIBIJw4dyVgMRsco5SQVjCGtwKhs2VgBS5bsmqT3/fdBRieHMACJZMyOKpm21bcFpowNpI4HKRC0qApXIaCm4Ak7YXXZ0R07OIUzo9e5Pfh4+vRxN2MRkk0mOSVB5vSGuuNeMTbkcNxo4y1B1dVEC2CLvSO1G5KIrHGBiJJCuwEn9IBrRzjlV1vZboBwpIpUIvTgJBTb4EUQMYa5KuGV3O0L7JjGuDyFjZLhNVgi6qZoKwmvzIV4+ic0vakI6kuWQ81BWQ/OWRnz4Le9dsb12rVl3z6d6a60pRM8Gi9lxC0nlUtgfL/RrtsB5JqXuvPPO/O/Uge644455p6UnaJQrJSAgICAgICAgsPhNukNyotFoY+VDEmZFLcWw54OLaSBKg+YkEhwGTZXBij0cFLhwYFUUI5sXqY6KEVKFqLBXY6JvmAkQUzVy36qoRhYKWT9+oANXVL4gPy1Z9uZrqyzbEI/HeXlEGnQfOImnn34aWT2LMlRgAiNM9qSNFKuACtdPfZyUSlQxjkgPl+JitZKsyEwMWSHmiWwElVI9B5Pv8O9FzIjgTPIkBjIyvH4PWttbgU3JOYQJWfk+/qFPIHIkiyqpoaCQgJklRcHhNWhildYZnMIGbOFpUkYCKlXny2ZZaVSMmKD2f/cb9zO5ODQ1AC1s2ghtaTtO6YdRixZUoIbPbZNSyvL296OLlU+kljIra5KF0cXpUbT+XpziaSc5K6qCM6dIuSXlCx9kMCGPwF4n4ZWv/GN86atf5PasJnmylqy751q9dT7VRKXCfHZcC7Q/Wx1b8qQykZIX2jYKrHNS6pFHHsl35j/90z/F97///aLTUeW9zZs3C6WUgICAgICAwAWF8zXoMlUiMpeqb0Y7RjGE49jHA1UKLKZwYzITVaORvye1BA9kz8NggQb3ZGUKBAIXRCbISo7pueoHtA6qNHf8zBG2wS0FVXI9/vUb9+Pev7+HB98jh0Ko8c0feD4SCy2oGllINRE9FUXfiQF4y09g646tsMkyZ0gt3FaJ+wjFeVhV/6hvU5U5sqT5UcbkVH3OikcwyVWDw8eH0Z9bisTklNftmRFiPpUdx0Cyi78LyAHokgZXtQP/+NB9vI30YNw6ZrRcysElUuHw/iMYPxlBndJiVvBDgvObOGSdjXpmKpVXCiBmhBHBBMpRxW3NaBl8/IP/DwPdQ3ze0fnX2FaPS6/di9898RyGToew/9nn0ZBpw0CmBy3SZpzRu2HTybDnRC2aeOlESBEJRUowsuk64UEFankd9F09WrhdFGxOqkiaj2LLD+Ewfx/GBF8TLLWS0+6Aq8yBl/zpDfjUF+7Kb3ep7LVrwbp7rtRb51tNVCoUs+MWg0Uq034+m6qdAgKrTkrdcMMN+d+vuuqqGe8FLk4I5lxgvUL0bYH1CtG31+bTcKqmRgNjGm6ewUmutLUR23K5UuZwmQbCNCil70lFQUoJmu9cgEiGBx54EF/73H2YGo7AZijQJBXltQG85/Z349ZbbzmvBNXs47OSY0rbSKqe/7z/+yb5UMJ+YLXv/m8+gOf37YcWBbyoQlrJ8qDfbqfb8+Lrsst2DJ4O8e8zVSPNM6x8ZNlbTDWymGrC5/LBqbigRjV0HOvAth1bOdS8MO+qyNbl+wKpLk73jvK2DOA0WrEdUUxySLfH8KFMMtVW1DaqfpdBCkFUYxA9SBpxXreiTA9VSH3klF3YUb8HW7Zv4ZQ1m6zgZOYwrr322hnbOE0qjDA5lgxl0ayQZc8JL5KsVyKrrAfenFJpet5qNLBKiYg0UjcFUQujy40tzkv4bJycnMSz3zuAn37jYahKmhVdataAS/ZC0mlpdlaDxTEKP8rzqrAsMpxZRSpH2g90jpMai0hoG2RUoY7bNIQershHuVplWiUuxfVs2x3DELebzn26XhAZd/sXPszn38V0bS+1ems9q4lm23EXgkUql4KUulD2l8AaDzr/2c9+tug03d3daGtrW8niBS4A0A1HbW3t+W6GgMCqQ/RtgfUK0bfX7tPwcDjMaqgenEAAFZwTQwoLUktYYBIKTh6c0nSsnAiHUVGxsOXrbEGqqD+44WakTutoVDaiWZkmPlKhBO55z334+pf/Hj9/9Kesnjrf/Xo5x5RIPSKH/uUb/4pf/+w3cEQ9qJRr4PcH0NjcwKr/VFdqVfvB7PZVeqswEQkzuQLVQCKWgE0hK5pvTkU4Xdfg8rq4Rp1VSW+GaqSrQDXSvrhqZDHVBM1Hlf8Ql5CKpDEZnswHlReD1b7C9XF7lDSq1UbEQAHmHu7jPehAwChnmypNY2UtEYFDxjRHpQKP04V4Ipoj6AxeNoWYUz8z12ErWmVtmlRI87bR+0Q8gXqbk/gjMyiczy+NCTJSaHHRv1zgOVXGSxtJPtfqsQEeyQuXQmHlOjqOd2B0aBQuzYdWWwVC2V5M6KO8jpgeYd0VqawSiDPhRNtDbaPAdqrxR9vqgJsr5tH6aMVNaON9Q+2iYgdk2SO1lFN348z+Qd6mgBRkCx+pvLJIM0H1+39y40VHSJ0L9dZ6VRNZduHCa+JCIPKNlGhLqTy5HIh7EYFzUn3PwnXXXYfBQfNCKrD+QBcoClilG7qL+Y+hwPqD6NsC6xWib6/tp+FEStGglJQiNJjNtzOXKUWDZSfcCEJhGxRNX2qQeogIKeeZMjS65gYLuxQP2pUdGO0Z4ume2PfYOVdMFfZr+p1yg2JH1fwx5UpPusqkT+ExpelsioL+50M43dODhngbyhwmwafHNXQf6+HQbLKttQZWpx8U63PbW3bj4aFfmhNIRFoo0FUd8WgMPr9vhmLKqiwXwpk8OTafaoRAv5+tamJb804cP3YcdXIzhvrMvKf5UFj5Lr/NsgHF5kCt2sxZSaQEomw0sq+REqkbx7i/E1llUk9ASk6gaks52stMQon6IfWrYvu9WF6WSSqM5PcxH//ckMfKYaPzyWbYEMUEhkCV+EzCiCviGRITP7VoZjUXEUTUhs6TnUhMJKHoDg4hz+oZeI1yrgJIZBIppDSuhDfAtltaJ4e7GzorHCnsnc7bTI6co/Wlcqot0ldR6LkbPmxgpVYn4oiiKbABalTnHWNIBk87gVEmpf7Pn/2xuJavYzXRaoOuB6QAXQ6oj1oE+GpB3IsIrJiUOnr0KJLJJK644oo5lfjmA1XoE1i/oAsKyZdF5QSB9QbRtwXWK0TfXrtPw81S8waqUc+DADMKOZMnpKxXUl3Q9zQd2YoWKlG/GiDLHiukCggpslCR6oOCoSmAmlDtrEfX6Uk8+OBDeN3rbsW5BJEFv/vd7/D9h36Iw/uOYLwjglpbI07aT3EFM001CQkiG0j1QyRLbaAeP/nhf2F3/aXwuP2Q48qM4G4K7PbIPmSiKbatbd+5bVX6QbE+V1/eCMllIJmKwS0TCQUO8aZ2q6oKRTEJysLKcrOVQbPv2ZdiW1yqaqKurAEdgWOIRKZgT9jh9riRSaS5ImAhrPYVquVIxdTU3gDn424O8ic6iOxrZGljsimnTCLQ8WFlmGQgoyRYmTZy2KyyRvlUy6myZpIKzfn3REgSOcT7VqZspyxSRpbJKFJJUSU+p+Ti9RP9SxUAKdPNzH1ysa0wFosiFU4jnUkzhUbtj6phrhhIQeZEYoUxziQTkVikBksjyecrEVZkxaPzmMLUQ+hhAoraREQd4OHznbKlmtDOBBVZdONyBI6tOjr3nYBkkNrKzJKrRA1X8/vRv//knMapnO+g84tJTVQK0HGj68FywNllq6wSFvciAismpW688UYmmUgmTqxmYSW++SA6mYCAgICAgMBaxVp6Gs7V93h46mPbD5EopIoikLKCVBcEGuySuoSmI/tRqavvUYYUWfaIiBpJDmEg2Qtd06YVJTYbGt0tqHHX83Rf/dx9JSWlZg+K2Qp3+x3QwhLkIS+SoQwabBvRkzgJJetg1ZnL7spb4TLxNKt+9jmegScVQHIsgzPonje422FzIRGJsYWRrHxn2w+K9Tnajht3/z6e2f8MavUm7gdEStE+TiZT8HplViBZqq0zsc6ilfSWa0VdimrCUpm9YNuNePLEbzA2lcD22h0403UGDfLGvGWvsH2F9/+kYnrba/4CP33wF1B0BWqWAvtN1R/xT4X2VNOqaECxK/C5/fjwxz+Ie+6+d9lV1qZJhUtm7GO314NULIV4Msb5VWMY5Nwmv1SeI31N+x5ZB6ldbnjhkfys7CLse3o/XLqXCSoJChKG+fCdVF5OyQ3ZUFjZRMsi8rgOzejEYSbgiPzajEs4V8sJJ1fRowp/VEmTzmdaK5FSREZb+VO0P2heop8SOXKA2mUGwKucMNd3aqDkZMhayNy7GNVEpQAdJzpudD0oPJ/mQzFrrIDAeSWl3vOe92BqaiofqBkMBuetvmddwF796levXisFBAQEBAQEBNbp0/CRkREe3JKyQoGDFRM0aDapiZwFCBqq0MCl5Wk6Squh+err59rqVkuBRKHm9bIDz088A7fmRTM2seLFQkZLYyxmklWXBK/E5NBU3mpV6kFxQ1sdJqcm4QqVYdP2dkzZo4jHEphKnER5tgp+OWhuR4EVjtQ9RKYcmHwKPqkSCVsSCSmxYHC3S3ajv3cAZbvLzqofLNTnGiuaUVnfAX0ii2wW0FSyyEnQ1Cw8Xmc+R2k0XryS3kqsqPOpJmhZofAgV9mjUHOLgHR7XHA0SKi9rByHQvsgRWUElPIiOU8zVUzXX389JDtgyxKhQhZLnRVgVrU765UCzUl5R9FaUAxUV1evqMoakwq53CtaNj1QH+gbgDFlw4nIQTRJ7chKabgMLxNSBHMJZl07IpUSiHDwuHn20djHgKQTFWVHykgygWTmYGmc88bth8JE1CkcZuKIFGE0NxUnsJSOlajFOEZ4OiLEKPCcKuylkcir+axpC0HvrSwv+t6szidBy2olJUPWSubexagmKhWISLznQ19Dm2NhhfB81lgBgfNKSt1xxx0z3tMfisXkolVVVWfXMoE1j8KKKAIC6wmibwusV4i+vTafhvv9fiaeaMDZgQMIogpbsZdVMxZIoTGMfv6+Ddt5epqvVCB1kKTZcCj6O1Rr9QjkKqUVggiqBmxEWJvAocnfweG38XyrZStcaFDc83wXjh4/gbaqLdjQrrKiJ6Om4Mh684RUMSsckS6yThSCAxk1DVmZP7ib55dtiMfjeSJqpf1goT5Hy71u+4vwxPFHkA1nUG2rg11yIGHEueJdRsvgdPTUvJX0VmpFna2aUDWV26BHJFaPFZJ1qVgCo9kBOJx2PHnoUdz1iU9h6PA4GtwLq5jIekdVGm0hGUjq0FTAaXdyfpaZOm6+shJIAWxuGcH68jyxudwqa0wq0NJ0HSeOnUA6moVLdsEtuZFEDEkjwaRvI6aLMVnEGIHOK9IhmRXuDNYvppBgYihuRPmVUqHIjkcm22n7ocrnKykcaT0EInE7cQTlqGYii9SNKYQ4E44i3snuR0HrtCxaDi2DbIDUN63lZpPZfDtNHVcm32Kb3VYyMqQY0VmY73W2mXtr1Qq43tVEdC417a3l40bXg/kwnzV2tSDuRQRmY0U94sSJE6syjcCFC/qDJIhHgfUI0bcF1itE3178aTgNuLJqBnbFMUftU8qn4TRwpyyaLhzlLJlymMeJBsW0XrNil4sHuRSWTNOlkJo3a2c1QMqXaGYK5VptUULKygSirBufVIaoOoVwZrRoBT6aNpVK8e9E5ixlALeY+ud0qAvNjnZkwyqee/h5Jm8iqQi2Su1zprWscH6/nQkLa3/GU2Ho/vmDu6chcd+g/b3SfrCYAkOxKbhh5005ldIxJOJxJPUkfKqM5k1NC1bSW6kVtVA1QfubCCl3pGxGvpYFOtZXbfo9TB1K4LN33I0v/t0XcODAgSWpmN5z+7u5SmO7fzuTg3QsdFUz+5Ch8wDV6/Hwa1fqOD50+3tWVGXNUtX19J9Gb/co3JqPK+lpShKDWh+2KHvRp3YhZcT589nbR4QQEUNeyY8Rw4BqqJw1RT09bRAR5WbayCo9YOW9qUaWt58IULvhwBRSTCKTSmonrmD1FIHUV9VowCBnWU2hBg0IoZ/VVrTcAMpZBUltIVWWpMvoOzLIFBS1wVy3wcQXkVmkFiwVGWIRna3+LeyWGegbRCqemlEJkSpUVpfV4fSBU0vKWrtQrIDrWU1E+5fIYrq2Ltcau1oQ9yICxXDWNCVdhDo7O/n3zZs3Y+/evWe7SIELAPSHhcLv3W73mvgDIiCwWhB9W2C9QvTt4k/DnYoTnQMncbjrIDKpDCsUaFDocDmwu30PNjVuQVpNl/RpOA3GaTBMZFQZKjGJMUwgxFqNfH4TJFSgjhUWEVRyiPdqPW0uplqggUM6m2bLUeF0EWOSq6eResRSitgMhQfplNdTODjdt28f7v38V3DwmcNQE2ZIs91jwyVX78L7P/peXH755fPu04XUP9QOspaxkoeysRWdFVo2yTRczYEkMQlCg2m5YH8SieD2eIoGd89aI++Ps1FFLEWBQdNQ8Dn9JNIJqBuj+Nt/uGfB9Z2NFbVQNaGpOiukihFShSHmklSGruc78Mwzz+Caa67BZfctrmK69dZb8PUv/z1Ge0KoctRBdaYxZPRB1YjMUaBpGpSEApfNDWe7hFtueS1WrqobQaVUgx61H+W2anMfZXVk1AwU2Y6NyjZ0ZQ8jhTgTPPw99wuZFUrUHupFlOc0iWFUozE3FVjpRH2ettD8kfhaQedDJep4GqqqR+fyEHqZAPVKAQSMCp6Ozhmai+x7lD/Vj25+T/Y9M89KRxwxVMFnFjqQdPgr/YiORyEZMpNX1L4k4piSxvDaN/45SgUijmqcTTh+9ARSkTTbWL3yNOFcWKGyZXPLollrF5IVcK2oiUoF2r8rscauFsS9iEAxrPhu5uGHH8a73vUudHV1zfh806ZN+Pu//3u8+MUvXumiBS4A8I1pJLLkJ54CAhcKRN8WWK8QfXvu0/AvvP9vcfjQESBhQ8CoygWKm0oANa7i8OEjTFbtumQXbn/LB0rWlr6+Ph5w0sCW7D5U9Yuqa1HosZW7Y1bnGuZS8PXYgBEM8HxtbdM2pOVgMdUCPWT0OHwwsuaQXDc0nDFOwgE3k2VB1HB7yWZGg2lShsSNCL70wa+h4ZIqqGoWj/zkMXgSZWhXdsOhmANNPaVh+OEw3vf0h3HtK6/EZ7/06aKD0IXUP2TVszJ2mMhpqcWZrj74neXIJlJwwjPPNpvTkyoppSbhcrnR2LgRJztO5oO7Z4OCvEkVQvOdrSpiOQqMULofH3rHexY9V8/WimqpJn76H7/ERmybMV1hiPmW7VvyWVNU/Ojdr/krbN6xaUkqFyL0fv7oT/HS6/8AT584hkq9FvXyRu47vB5DQzQbxpQ8gut/70VcLp6wVGvXtKouzSTmr3t+AUPRENEmEJAroEtE7ip8/KGRDZOCzH2cb0XEkUkvmeuhT+i9F2UIoRcew8/TW2SnqY7S80RW2JhggomyoQhk3fPAjxEMogImKVaFOiaR66Rmbiv9I9KrFo1sFrQpNhxWn+Xl0Prp/PejjMnU5tYG9EwMmp0XEl8HqJpfyhPD1VdfvazjPt++m00omkTnINRTdqhRHR7FV+SYTleo7D3VCxuRaPNkra0k8+x8/o1aC2qiUoPavFxr7GpB3IsIrBop9fjjj+Pmm29mKTMxqU1NTdyZBwYGuBQtfferX/0K11133UoWLyAgICAgICBQUhDp8vSJJ1AWq0NQqmIVRGE1MBocOg0XJmNjeObEE9iz5zsla4vH42ECiqp0kb0ngCC3hQav1A76naxDFI4cwQRPR6oOmm8lWIpqoXJbAF6HF0aKVCZpDKAbFahlYowqglkh0dZAnSxFNHhP9Wo4eLoDHZOHsc2xF+WOyjmD2TJHBdwpDw7+8AT+2nYHPj9rELqY+scmm6HQ+fXLMjKJDOx2G9/ZqqSKyREehbBWUeWowaQxigalCQ3BJnQGOjAVGUe5MrOtBCJlKMh7NVQRpVBgnG0wM73efc9ncejZI7APKYjHIzMsWrTtHq8HTxz/9XTWlM2JeCqCzfZdSHWllqRyofyz62+8HqfUXoT7Ykil40gZpBwyYHfasaV9M2y+zXjsR7/FVf/9AmzdshWSDWja1LAo6WWq6kaY8GAVRiKJ7YFLcTJ6CAk1ygpDIp9MQsms+pfWk2zhI7KJiCFS+pHCyapwB8lAo9HKxBRV6yMCiZRL5nkpceA5KaQiGMcGbOMqemTdo31LNrwWbMFpHOMqfURS0XlDKsOAFGSWmdpDx42IOVmW4LcHIGVtTDrTsqpQz+vkWoWSzG2MI4wQ+pCWErjxZS9ccUGBxQjpHTt2IBaOAxF3UUKqWIVKRJLzZq2tNPPsYlYTnUssxRorILAmSalPfOITeOELX4jvfve7c6q+kJWPFFQ0zaOPPrpa7RQQEBAQEBAQWDU88MCDcEX9qJCrYTPsRSteEfFD36eicTz00EN43eteV5K2JBJk39HghY8JqTgPdYfz+Uem3czGVroAKrhqVxSTPN9yMVu1QO/JPkUDXBqcWKqF0IkBRBMRbA9eju7xDjh0c9BCocwWIWWZnwg0PynNYlMJ6JoN/nQFDLtlfCo+mFWTKjoe75ozCF1M/UPt9HjdyMTTcMpmu1j94nLDZ/gRS0Q5u4hyo2hATyoTWZH5YSqRTJXBaqT1ONJagttthYwPhKOottXnrXxkW5O9wLgUQtMltWetiliuAoNAWVwLKRhWI5iZlEnl/iA2Ve2YEWZN09D7R4/+qkjWlJmztVSVCxETgwdH2BKLdrMf0jGinK50NoWHD/8C4aNR6JpJsB0IHYGkAJ0HT+P406ew+7pt+NQX7lpAVddcoKJT2Mq5zb8XU9lxDKV6OPOMSCH63K37OOycFIdcWY//b55rpo7JtNJ5JQ9X6RvHIE4jAq8RyFXINImsBmxgKx1lURGpTOctXTfofC1DkM9lUhDSTxmq2NJHbaAKmk7JnVeKZY0Mk2Bk2W3HLp6e1jiCPlDa3DHjBCukSE3pRxBRTOAPX3kzSkVIN+ypRl9/PzbLlyxpmWTt6xw4NS8hudLMs4tZTSQgcLFhRaQU3TycPn26aEgZ2fe+973v8avA+gVdkB0Oh7gwC6w7iL4tsF4h+vZMfPHOL6Nab4Rb8XLYsqaprIiwYNm8HJIDNVojPn/Hl0pGSrW0tPBAlixxvTjFuTSNaOWBrgUalBJRRT9kFRpAD8+3VFiDqiNHjqD/+WFUGLU4evhY0fDisrIy1AUaocs64pkYMs4UarJN6FW72FZoDtxzuTqSZJIXNLiXZaiZLLKZLOrkDRhK9SLoqFpwMJseTcwZhC5F/bOteSeOHzuORmMj0tE0E0/bWnbixPETaPBv4DysWCoKTdX4+LqcLhhejZU/lI3kCEtwN9nQNWiSQ4Uh49FoFKqehd1vw40vfyH+4u2vXzVVxGIKjA+++d18rD72wU+YKhbYmJxcyCZ3tsHMhfubKwwWBOjTPimeNWXmbC1V5VJITND2Fe7rvskeuHU/glI1qqR6k6wxAEW3ITWZxFBkBCPDj0HTPoEvffWL86jqTAJFlk3CyNoW6n/0M+EcxXhsFLVSCxTNwcq/qDEJHxOsZjaUPZcnl0Ga548bYWSQYKUTEV1UaZJyoOh1CD18bNqxHb3oRBIJtumZSitTdUWKQiKq6m0bYLPJqDCqEDXCGNUHoRkmeaZSgLrLBVVKo9ZogktzQdJ1ViVyuHnYDDYnu2E5gnDKHkh2Az//8S/whje8ftHjvRIb3fChQUxMjUF1ZzllazGY9QrVVc88W0t/q4SaaPUg7kUEVo2UolK/C6Xm19TUIBicLscrsP5AF5KKirlhmAICFzpE3xZYrxB9exqk8JgYnES9vGVJ01PA7+n+Y3kFSSlAA1Sy5tDAlvJmZoMIKgpIpnLyNJ2VqbRcm86hYwcRDNdjTI7B6/DNG168dcdW7Gm7FKc7TjFh4ZTdINGRSyo+MKNcILITRlJpXi8pmLJadsHBJVn59JSBvs7+GdMtRf1TV9aAjsAxTEbGoXVpcHqdHBB+MnAcU5EJlNsr4bS7kFZTUPwyduzanl8+2eM2XFbPtjWrgtxJIofcNjRsqUVT+6X4szf8KWf2lOJ4z6fAIMWSFdZNihGLaCEkuxK498NfR+Oe6jk2ubO1BS60vylDiix78+VsLUXlUkhMqJqKJ47/BlpEQqVUj8HoIJy6G81SO/xS0CQ8qS+whU6CS/KgVm9BbGIS//vDR7D/tv0ckG+B9h2FgE+FwxjoG0AqnkY8FseYNsbHn4gEKghAxFTI3o+p9Djckhctxmb04iRiRhjlqM6plkyVU9wgHeIIE29t2I4zOIUyVLC6qhr1nOlEVTKJjOIqeGhlBRWpm+j8pHB0ynyj6nphxxgSRpRtezZJ5kIF5bbKXOVBDRk5hfot1Xi842G0B7bhRPgwXIYH9UYL2wFxCmjFNjNTThrBlDyBbb5LcPCZQ8smbpZqo6v0VLPKMJTpR4trcZHBqD6ExsbGova9s808E1h/EPciAsWwor+05DU+fNgsb1oM9N3sKnx33333SlYlsEZBfwjp6Ra9CgisJ4i+LbBeIfr2NMLhMCTNLOGeVTPQVJUHtmblLfOH3tPn9D1NJ+s2nm85oH1N9qvF9jkFltMAmBQRxQipQtD3NN30fMVBg7rbP/AxVtDIXV4mBNrs2xEfT8KV9sFIAol4YkbbOLxY8UGNaug41oG9LVdiyjHKligz26r4s0xSIsEmwekyB/agQahhDi7NIOmFIEHSJW7vbPUPKa3mnUuS2HaXKosgUjGKqvrK6c8CEfRluhDOTMAesGHbzm38HVnXuiMnUX6Jm4kdIpyIQPnyfV/Ev/38e/j2j77Br/d8/Uu49tprS0ZAzt4Oa/BdGNbtdszMC6P3rf4tmDpk2q8Kj5tlC6Tt6op08HYWYvZ2FyMyiu1vq8rh7MqEZIFsaplJVJltdKOvc2BOf7eICSJ1Hz7wC+hDCnyxIEamRhDLhDkwnwgp3packZZCyC3Q+efVy+CMerma42yc6DiB7mOnIcVt8Mp+tLjbMGEMI5vOIjw5hbHRMYyPjqMq2YhRbRDDRh+TTw1ogwI7+tGFLuMIThoHcMx4FmdwgrPbyN5H05FtNoUkV88j0oxeKZR8I7bCBz8G0YNRDLBSkJZHmU+qI42sK40d5XsRto8hpJ8xbXoFxyxpJBAtG0fd1UEmiM8kO1EvNaPJ3ganzQVJlhBsLONXek+fU1j6meQpZOMqX1uWg6Xa6Cizze8MIKqHMaWOLzgtfW8LGAj4y4ra984280xg/UHciwismlLqM5/5DG677TZ84QtfmFNl75FHHsGnP/1p/NM//dOMz7/61a/iYx/72EpWJ7AGQReSeDwOr9cr5JcC6wqibwusV4i+PWugBI0JJ8nIFXg3zNLwhaCcIrKFMXElLW2gNEedtAT7VWVlJa+7EjWmDW5WvtWM5eemG8Jpnm85Np3+yV4gaxJGmqFBVTVMpCfhcNqZGLHbzeqDVngxVVm79qrfw77n9iGVjNMey7XBMvyZag8SbZUHy9i2xN/SIFQy10Hbv8gegyEbc/btUtQ/ZK/csWEXyi9zI5tS0XHqEBNhdZtq4Cy3M5mRmkrjdPb4ogHF59ueUxjWvRBqfHXoPtAxxyZ3tsHMxfZ3YZVDC5SzRUo6skAWA01PZAmtx8rfoVfVUPHU/t8iNaaiUg6yCmpCH+beXiU1zFqKVQVON8/B3HIDajUOPD2tEKLXO26/EzZVgSLbmVTljLQUENXCUAwnK5xs3C8l3pJmbGIC6Qw62KanIgM3vJzRRoonH8o4YPwgfsvrNPOinEgjwfZaUkuRimgUg0xMEWHVKm3j7dPkNFRPDaKBcVRLdcjY0whF+tHm2YaEFuNsK1IPEkFH6im5DHjwh/djz549+NH9P4EnWw4/7Rsi4hQHn1/BpgDio6n8NYEUV4lsBHGFAumXjuXY6GjfUjC9M+Jlgnd21hr3Az3NCikipC7fdA1smzNF+9ZqZJ4JrC+IexGBVSOl/vzP/xzj4+P4/d//fZbE1tXV8efDw8PIZrMsyaPvCjE6OrqSVQkICAgICAgIrCrcbjd0RUUmlYETCxARzFFJyBhpGC6N51taiPDy7Fdk2yLyhga/Zrl5rrk1Z/lmuXojVylQ4fmWatMh29Sjh34FaDYe6FPyDW8ilajPAgk1AZsiw+v38QCY8p76ewegbFHwqte9Ej2/GsaZ7lNI6DG2OtFDbl1SYSgGZEnCeHiMd1dGM5VlaT0Fu82+4KCDbGCyS0LzpqaiJNGSQsEvrcF73v9utg/RPMXK218IAcWFYd2LYT6b3NkEMxfb3y67K1/lkI4VKaQsa+fsZVo5UYd7DuNNf/LWGWTsrbe9Fv1DvRifiKKFLLM5QknVM7DTv2KVEslKp+lQlNx5QFlXmoJsQmPSi85Fq59f2nYFjh87gQZpI0Yjw0BaQrlezRY8IpOo+h5V2qNzKyul2RZHYeVUEY8IqXbswAE8gSRiaMFmVkp64c/ltzUzGUvV8KjqJeVLUeB4CnFMYpTJKVYFyjLKqgJ42f+5Ca9902vw/Yd+iL7nQ1AyDpwOdSERj8Ptc8OmydCdKm684Tr807f/kYlQPlZamgkuUpOFtF6E9H4osgJJ24XD2SNQdRV1chPqbC2sLBvRBpZFoi7XRkeZbfuP7MPLtt2M0dgw53/RNtB1R4cKj9eLHc072EZ7OnpqTk7ZamaeCQgIrH+siJTq7e1Fc3PzHD9oYSU+IckTEBAQEBAQWIugAbUv6MXYYAiN0sZFpx8zQvBV+BYc3E+rk0z71Wyw/YqrlIXmVCnjASNsrNxwwZ2r/6XlVVPWK1FV9EP2IS5rP8vyNp9Nh9r2+LFfw5Z2wCbZoRrZPBFALaCBMD1k1FUd8WgMPr+PVSdT0Ulsb92IialxnBntRntgKybjE6iVWxDXopB0GQ7VCZtsg00xFTXUPrIpDain0eRd2CpEJIdSreN1b7ml6PdLUf+QysR68FlM7XS+FVBLweyw7sVAfamja+Ew6JVs9+z9TTlbWWcKU8kx+P2BfEj87HVaOVHZsIGNvm1zyNi73vkFjIUmkNE12G1mv7PsoMWVdKS2M9WLs1FIrFj9nMiz4/6j6Bo6AU82wP3PLXlQZmxBDGH04WQ+pyqGCFe3oyp2bnjggQ9ZZFGOGiaaHJKTp63nUPMutsvSD6mjNmE3YphisoqPA7xQlQzS9gQ+c9+deOMb35i3fFIembUf05213O6snsWGLc14/VtvnaNaC/gC0MZUHNaeRTmqsBV74ZLcaEIDNMnN9sFhvQ8H9Cexw3YZT7/cY7scGx2RTRn/4xhPjnJWG/2wCo3Uc0SWFeSzFcspK8TZZp4JCAisf6yIlKqurubqe8tBIWElcOGDy0a73Wv6qaOAwEog+rbAeoXo29OgwVVlsBpnBnvhN8rYEjMfqIT7JIaxobxlQRLgbOxXVECGSCgaLJOCwySM5Dm5QQQacBN5RdPTfEux6ZCCRYsYcEoulMvVGNdCqINFGNHg31wPKZwoR0tVVSiKHaM03WQZPCPl8Fa4IYdtyCgpDGf6EDRqWH1irhNc5U6ySXA53IjrU5jIDKMyUQ04LLMf5tjA0u44dl6/c8FB6GLqH/rsQu/XFim5FsKgZ+/vp556Cl+7/Z+wwd8+g4ywQNMQIeWOlsEvOdC6sXUOgaZMuNGobcIp4wiypI6SHaYSUNLZ/kmZZNT3eHk5Joro19l2WqJq7R4bH//Cfm6eJwb61W5UGnVwG164JR9kycZkUqPRxuHkiZwSiqx7ND2Rm0zKQkM9WnAKh1kVSUUFiIgi0mkIvXmbHp2XfiNoVuxTDISMPgRqPHjRn/wR3vSmN83YN8tRrdF3GzZsxP6R59CCLVyF0EJ0LM6vdO5S231GOY7qz+GyDZcv6/gv10aXyqbwkpe/CC6Xc4ZSUbHZZyoV99bMm1O2bNXjEpYlcOFD3IsIrBop9fa3v/2czCOwdkEXEioZLSCw3iD6tsB6hejb06DBXCqcRpmrAkOpM1xti6resS0tp0oi8mcMIQ48pulo+oUGgaTaqHM1Q8tV6JOWYb+iG3TKtrFClCmfxkkWPWmaqKDBezqXgUPTkbqjmJ2wmE2HKqhVy42YwAQCchBjeojJtmJkHJEdyWQKmjuCqHMCWkhGTVk9KrZX44njj0DOyBgxBqEaWn6fEUhBYSg6Uq4oHAEZm6i62dApZJMpNDg35PNoyAYWVcOIeifwe6+8Ep9axiB0PiXUhd6vrYyztRQGbWWj/ef938ex3qM4Gj0Gm80Gj9eDbTnbFuFI/wGMD02hUndCVjLoOtHFlfkamxvzx4Uq4lU5anFa6kDCiEHKyLAbzlzOkx0JIwKfVJanoGZnqlG2FFn5InoYyUwCr33561G3sQaxcAxGlWkbNCIyyuVKxLQwQuhFmVHJyyEC1wMvW96oeiWdN0SIUSC5SUzpTATz+QQPEogykUXFBKjCHlXeSyKOPnTyPiHykGyutC/IAnzzq2/Gp79w16KkzELkER3HycQ4KlCDcmm6urmhGxjvmZoxbVCqYrXWVGJs2cd/2Ta6t5s5ZCvNKZu9jWeTeSawfrAertkCa4SU+uQnP7noNN3d3Whra1vWPAIXDugPcyQSKSrjFhC4kCH6tsB6hejb03A4HEilktgRuBIncADRFMUX90M2KE1GgQoVGlS4SSvh9GN74FIcTT7L8xXbr/v27cPDP/kNGtPT5dNdXmd+YC4tYr8iIskmKQgb45xdQ+tOUKg4uZhIMcVZUgR6Z+OwZUU2lTKzianZNh2rglq9zcXB4KqWRauyFafVjjwZZymeCDQ4H872w1flQqWvEg1uU1FF896w8yb8dN8P0apuQVKN44zeYVr/ZIXrOTvsdvzezuvyhEVPXTcOjv4OXdlDUBOkSrHB4VGw59rduPsjnyga+r5c0PrHxsZQVVV1TqrllQLTKpbEnKp7xUDETHN76cKgKbPpEx/+fwgdmWAC9eZdr0LH8Q6kImnIMZnzm8gux+qkwX60Gju43V4fWVwBPa6h+1gPXAEHNm/dzMtkNZNq5rN5pQCTRT6jDBHWMA3BaXi4H1qEFKukKCxfVU2lkZHCiNEPdxF6LP4AAQAASURBVNqFzudP48yxPoxHxuCqLEdI60OFXIdJTHAeFBFKbdjBiqhN2MWWPAu0LCIAiZSqRQuvnex4pBykz2heOv8o+JzONlJIEVEVwSTP7y/zwWaX4XQ7semajfjC337urI8DzR8aCKFduQSyTnlbOQejLKGipQwTvWEmqGh/UH5bo7wRXYOHlr3eldjozianrNh2rtayBC5ciHsRgVUjpZaC6667DoODg6u+3G3btuWD1S309/ejoaEBjz32GMtnT5w4MeOJxI4dO/D1r3991dtysV9QkskkV+cQFxSB9QTRtwXWK9ZK3z7bwchqDGYoINzusiOTSnPot18JokHfCOgyEoggjAkeFBuSgUg2jKOR/dAC6hwSyAo2P7N/ALakA17Fn/+ucGC+dftWDkJeyH5V5ivDZHSUs258CHDVL25DjpCiwToNmSkTh0gpvydQNL9ztk2nsIIaEQzjsRDq5Ba0KdsR0ScxoHezWsFhOPiVwsnLnZVoaq5DRJ+Ya/VRZdSXNZm0QW79Zj6QjSuKESFlHZfWmnZkyuJ46Gf35/OvaHvPtv8VVjgc7A6hsbkBA32DaGirm7fC4VqHqWK577yFQVv79P5vPoD//Z+HEYzVwa+UI+ntYXJ1+87tiITD6O8bQCBegVBoAJP6CJw2F4KeCihcudEE5ZF5ZC8ykTROdZzivjI8GWLClUgg6uMuIijhRBRTnJc0aYwggAr+rFAhqOoaMkYKUxiF2+XCDqdJlGTSaQynQxgcGMK4bRT1/o1MJhMpRaSTVSigkJAiFJLOtWhiMnqClg0ft4/Offqc90nu/PMiwJa66g2V2LJ9E1vYKNz7g7e/Z1X6GRO7FL4u2WFTlLwyjEgof7UXE31hJn1tNjlXERRQNDvPtxwi9mxtdKuZz3YhZL0JrO97EYF1QErdddddi05DZYRLASKkfvOb38z47NWvfjVe9KIX5d8/9NBD2Lhx8eBSAQEBAQEBgdKjkESgHJjCylxLIRHmzG/IrAZa6vyzQYRWbWMNjhx8Dk1aG/y2IHRZY/WQy3CjFdvztjQVWUQzU0gmo7jjY59ku5mVaWMGm6ewqWwHTkqdM9ZRODAnlQkN6qV57Fc0OPOWeVCTbsGJzAFWL5FCQ4GD5yHqh0iqXpxiZUlQqoSR1XHbq96KxvaGOfug0KZDOUBWBbVyeyVC9n5EspNs4yuzVcAnB+DxuSErNIynynwSBjNn0Li3BtKpmaRXIcHFNFlufTarUqAh8UCZrE0WaHoiARerXLhUTFc4HOaQ683OXSiz++BxVDARd++H7uO2z65wuNZhqlhqOAifcsfmw0gstCph0IXkLh0fq2qknLahLF6NOkdzUXJ1564dmAqHIR2V4TTsiBuxGYRUIRyKE4lIHCktxSqpgBFEH04hbkRQJlXAJgGtxjb04ASTQ6SGImKKiCPON9M1ZI00E1kOlx3b/Ht4uZOZMSZPdA0YUQeYOIoaUdgkG7JIcX9PIzlvThcRV/Q9XYN24gocxXM4g5Nsn6PPye7nQ3mecE0jBYdPwbad25hcXu1AblKNELlHtkAqNkDbTlUHSSlF5xLtX1ZKsY1X5+mcipvnK5YrtxCEjU5AQGDdkFJ33nnnvN/RRWyhINCzxbe//e0Z7ycmJvC///u/+MY3vlGS9QkICAgICAisBokwwkqd2ZW57v3w19G4p3peEmE2CVEY4L1SEoLuUWqaqzF4YBQuycv3LURIVRq18EuUdTF9D0MDNrL01PhqED6UzFfOs8rRW8HmlLWTSaTz2UmzB+akMrFyNGbbr+j1kqt34/Ef/xZ+lPEAcRj9ufWTsiODBOIo52ScFlZUVFZU8L4stg9m23Q8XjcycbNtW3y7cTJ2GIlsBEHUwml3wG4n+56EjJ7GcHYAUnMan/3Sp/HGV75lxrYUElzFYcxRbqxm9lEhEVi8wqE7V+FwaE6Fw7WOuSqW5hlWPuozZxsGXYwc1gwVvaEzaHNsR1v9Vvzm8C9RZWtckFwd6BuA2+ZGjdGEQ7FngAUOr0t2YXRqhEPDSQHlMfwYx9CMHLcNxjZWTA2gm8kpm2GDTVeYgHHLXmz0bEK1pxaaoeNA5GnYsgqCRjVXzKN5iDjSMgbK5CpE0MlB5WMYLprTRdSrVeGSzrFGtGI3rubfh3CGP5/EKIKoQRBVvCzq05fs3Y2Mmi5JIDfZmHRJhdfv4+qXZFk0yd+C5VPlO2hMSNF0mprl+VYCYaMTEBBYF6RUMBjE97///Rmf0ZOxUCiERx55BIcPH8anP/1plAKtrTOrejz44IN4+ctfzm1aKehiXFhWmZ48WNtEPwS6UFuE2+xqOAt9bs2/0s/pD+HsZS/385W2faFtsqrdWNOsh21aStvFNq3/bSrs24T1sE2LfS626eLYJqtvWzhX59Pf3H4HIocz0yRCwbjH7fTkSIQQT/fZL30mvz5rneb8abSVbZ0uEZ9bhtvpRqtzmoT47JfN+RdqO7WJVAJH9h9FuVGLlJFEQhuGCy626ej0N02eNu+QWoGypZjI8tfj9MFT5sD+22Y5eqs921t24vjxE2iQNpiZMNJ0xTy34sZA/4BJSklAKN2PD7z5L7ldVhtf+orfx69+8Aha5W0ISBXm/tN1qLKGIZxGA1rhl8qR1TJI6DHU1NfwsubbB3fefQfu/Pgn0fV8B1rr2nG6qwcN8kZWoWz17cZwagAhowdutwtjbHlS4fF7ESz34VP/+AXOz2rcVFCtiyJtJAlevwfZeMYk3/gY0+emgsPtd/P+so5TMptE8+bGGfcKZ3M+0X4fODiCVv+WGf0gFc3MmK/wOJHq40K5RtA+p+N34MABPPDth3Cyq5NVgZaK5YO3vRt79+7N96vltNFSQw0cHEWdqwlbnJfwcRqaGoA0MIKILYnjk8fZVuOwOfOZRhacDhfikRjC4TDSyQxbVYkwNSSdyUzqD4XTc/t0g4koyZA4d0w1skxCteibEUMYvXIHZ0uRMohqSkI30CA1wyl5MOzowzbjSiaFtIyKiBbGUW0f6rQWVMi1TC7R8jfLu3HEeJYr5BGhS8tP0zktR7l7kNKRCxjQ/jAA2SYzMUYW2QGchlN3sSqxwbYRDdjI05FaKqxPcNYUZAOKT8aIpwpNpCR683v4GBAKj+HZXsuD9WXIDKXgI8JJU5FMpfl1MhTm/UZKRp/HA8VuR0pNoqIxmO8HZ9v3SKlJ7Tibv1tr8Xw6339zxTYV/3yx++wLcZtW2vaLYZv0WctaVVLqqquuwg033FD0u1tuuQX/9V//hccffxwveclLUGp85zvfmUOA3X333ejo6OCSxnv27MHf/M3foLa2dt5l0PTFgthHR0c57JFAJw/dTBJhRX+wLXi9XvbETk5O8h98C/T0wuPxsJKL2mGByDN6GkHLLjyAlZWVLNEdGRmZ0Yaamhpomobx8fH8Z9RZaHtofbReC4qicNAntc8i1gh0k1NRUcGWynjcLC27WttE8623bVqPx0ls0/K3KZvNrrttWo/HSWzT8reJVDHnaps6OzuhhSW0trciGkrA4VXgrpjOEVFTKuKjKTQ3tmAqPIKnn34a7e3t+W165plneP72be08fSqSQTqcgbfKBcU1fQvjmGjGiQPHePrCIiuzt4nO6+995wEce/QUbFEHtl+1CdlMFhPGCGuQ+vYPw+6woWmXZZ8yb/IGj43A4bQj0OTFDnUnfv7jXyCbUFHucOe3KdC0GZlAAtqIhHSvgUCNF/4ab74tY+NjzNWknFHsevEWzsKkfWodp//54c9w3eUvRDmq2I40dHoYkbEEqneUo9K9k1UblCsV6hiDGskCXg1lTb788uVQI7oOduT3IeGvPvJ+zvd86Dv/jmRFGO6EBI/NC8WhoDFeh4qaILw1bq6IR4qYicgY9Mo0tm/fzm171WtfiR9+63/glYJ8nJxlDrzw+heir68PFbYaxCeSmOqPoKwxAKUMqG+phcfjzR+ndFkMr73lVfm+c7bn0y/++5fYsWUXkqEMD9L9ddNKIqfPjkh/HIrLBm+12zxOP/klNmzYcMFdIxobG/F//9+H+HPLnjU1ZVZho+UVu0ZY66DpqR2F20Skw913fg76oIK9O8yKj9b5dOLwUezctBu+gBcZLQ0jnYRnwoXEZAo1myqgOKctcCNdMvp7B9C0ow5um7nvL89eholTI6gxWtCws3rGNg0eHQXFQ226bCMrpSgXqkG7EsP7J5AORHH51svhRRkmMAxn0ouxI2E4K+2oaPWjEj40owHJSBpDJ0cRrhrE1Y3XolKq5fMgOhbnynRVGyrw4sqXIoEYAnI5HP178dTAI7xNSpkEFxyoRh3Ge8KIjSVQv70aVW4fR5fvwg481/EMzkQiuHLPFVBsZNk1q2/2HbZBz2hovrYWH7zjfdi1a5dJTJfoWv6+j70X3/3sg3COulG5oRLeCnqAYBJpPr8HkeEEqlrL4fQ7Ecr04v3vfC8vd739fVqPf3PFNhXfJlrPetum9XicznabotEolgLJmE1trQJokXRDQ4HjpcSxY8fwspe9DGfOnMnLxT/72c/yDQiRY7Tz3vWud+Hhhx9m9ZbPN33ztphSqrm5mXewJY29EJnJpbZxJdtEn9MNEt38cOnrdbBNS2m72Kb1v02FfZsuzOthmxb7XGzTxbFNVt+mmxFa/rnYpg+/7yOQu7ymDWmWyimPvKomAaM9gS/+3efz6/zguz8MuZvmzym8FlgGhfQam8z5i7Wd2vPxD38CkUNplLsq8Kvf/QKBZBW0lI5+vRtt0g5WXtA/vqfIrYPCzqnaluwF9l51CV8XjicOwG5zYJNjx4z2qJqKJ48/CjVsoFpp4JwYC1PZcVRu86PlsjpWMVmWNmofodbVgJ3aVVz9TjJk2A07ZzT1yafQiDbYYYfO4eI6D5pjchi/f/NN+fnn2wfW8aAbxL/+6N8gdHgC9e5muO25fSqZ84VS/WjcW427PvdJviG2jiHts6lDSdR4zWpdtH8eO/YwXJEAym2k6AKyegpKQMG2HVvN9hhmBa/yS9wz1Gtncz5RW173ijdis2PXzH4ggUnK+FiKAoBmHI+T6cN44H++u26v5TTIoCI/3/qH7+DQs0eYKKW+QxUOyQ763v/7l2zRImUg2WRZbVgA6u8/feZH2KTsYrkbrePg5DPY6bucBxbFlE9xPcKfe2Xz/rhLPQy3xwNXNIAKZ/Wc6Wk7+8d7IRnAJEbQiHZ06ocRRDV8chlXtssghTJUArrEWXFDUg8rnHbgCj6WEW0SA1I3Nku7Yc8Fl/Ox0E0lI7X7tHEctfYmeOCD7JTxfOoJ1KsbOMS8AlVwG37eN6R8iiOMYQygCe0wdGAYfcjKaVZ+kaWRjHI23c7Kq7hvCv/x6wdx+eWXr/g4LaUv0X664aoXwX46gBpXPR8PSTK4+t74mSkYOr0HRjMhZDaG8egzj3C/Xi9/n1badrFNF942LXaffSFu00rbfjFsUyQS4ftOUtkuZDkuSfU9YvSGhoZwLlRSf/EXfzEjv+DjH/94/nf6/J577uEdQTa/t73tbUWXQzeGxfIOaP7Z2QjWwZqN+T6fryrGcj5f7jpL/bk1mKEnzoXTXOjbtNS2z/e52Kb1sU2FfXu9bNO5/lxs09rcJqtvn6ttIgx0DpkZUoX3K/M8CnPbPRy6W3hzRbk3nCE1e54iyyDiquPU9Pyz275v3z70P29mQNGyE2oc/kwlHLILsmZj+5kFUg5JspyrdmXjjBdN1dhmxJWvJAVZPTOnPWRReuGOFyMUHsSJvmNIxBP5UPeMK4m77/1m0VB2um+Ssja2MCmGHSkkON+GKoSl9QRbnLLIsJWJsmaIKDM0cJuIPFhsH9Dv9LT0S3/3xXkDjj/4lnfPCDi2Xomkml2t6wVbb8QTxx9BZGqS6pLBX+7Hlm1bmCxLpmdW8CoMPS88HsWw0OekXJf0aWvgjP3uVIp+TtY36vPW4H09XCPoPH7ggQfxd3d/FWe6+oCszFloVbYmruBIqig9pSH0cATvf+ojuPaVV0DLapznNvu8MYPrqdqbmVlEoLyySCKCikBFPlx7VmvgcDqgJlWkskkk1RSq9Ab0JE5hODKEGqURfo8/l1MGpLQkhrU+ttu1YBM6cABe+FGBWiT0CFvoiHSlc8QGO0aNAdQazehDJ39G1ebGEILdcHLwvzX4YWttjpiid5QNNWYbQCwbRmW2Fnv9V2PUOQDPmBeT6jgyyKJSroHX6cdQ9gzq1A1cOIDIsTbsgNPIWdig87lG2VajGMKG9Bb83Rfvw7/++3eWdZyW+zn1h5/95n/wBzfcjGMdIwhmquGQXPA1uTE+OskVCCcdowhsdeLnj/x0xnm/Hv4+nU3b5/tcbNPa3KZzfZ8tjhPO6zbNt45VIaV6e3uLfk4djFRLX/7yl7F582aUEqSC+t73vodHH310wemIkauurkZXV1dJ2yMgICAgICAwDVIgz1f9aj4QSULz0cCa5ydlwwrnnw0Kd7YyoOhGKaHGAENmokmXpkvI54a7uenMz4hsyarTN9Gk5mhpb0KyO5e3VACapr68kX9okEsD/4yaBTYl82qL2aAnibQOJuJwGi54eJBNhAENzr2SH7qhMWlFA2aH4eLpSSlTODhdbB/MDji2Igpo2mI3lQtV66rbVANnuZ33X2oqjdPZ4yWt4EXtoP2+HKxmyPr5BB0rS9X/8htfgeRpDYlUEp5sgIPv/XLQJFqjSSTiSQQrylHmCMKd8uDAD09g3BbCKy559ZzlmsH105YOQoO7GSPRQVSgYr7WoKG5Acf2ncC4Oow6bzMCtiB2+69kNeBg8jTORNKwKw64vE5k7WlMYARNaEMPTnLfqUUT92s7nNyPHXDACS9SiMPNaU9B/oTC/T2Gj8kpykIrODNzLTGtdvTqdDixzbeX29Cb7ORP92zfjcn4JCKRMJPLk+FBDCcyiKbCvAyqsumRfEz6xgyyzhDBJXGfpnwpstKOaUN49lHT4rKa/Xk+0IA9ZoQxjhCgk2IyjWP6EUDS4TTc8OlVJW+DwPk7x0XgvMDFihWRUhs3blzwhKHvfvzjH6OU+OUvf8mZCZs2bZrx+fvf/3585Stfyb+nE5z8jy0tuTBSAQEBAQEBgZLfEDOJsGCltoVJhNUkIWaornLvnTY324nqpBYmz7JGhlUi1kC3UFVCg1Yif5jIyaaYeLn1za/FPR/6Gtocc6vAWaB9qdjs6I2fZqJmPlBeA62fbERVqEdAMou3kHqLSANaLwVGU9Uwmo6CmEnTUWxbFyNi5lRgM4iU09HYXo/XvfmWokqu2WTW7L5yLgZUtFxqYz54fRGQJZGO04U6wJt9nMja9vhTj6I5uxVlTjcSWgJ+Uqnl+gr1WSIxSeU3OTGFisogV360Jz1IZTMzqj/OUNDNqhpZbq9Cn9LN6qKgUjljelq2y+tCaDCEiDGBpC2KipyFlZYVdFTxD58nWgIJRwTxygkoIYWVfzVoYqveEHpRgRpWQBEZTOQU2VMHMMxkLKEWzRjDIOqxwdyunDfTpI2snWTaa6n/ej3+fBtou92XGPiXn3wrT7hafZQeareXb4VPK2PyK2JMcqYVLZ/awq+GzEouOg8TRhSjkwNM4BYWiigFGUUqKUdPAD6kEdWn4JCcucuQGSZfiRq299F0T+x7bMkKBIG1iZVciwUE1itWRErRBf41r3nNnM9JqtvU1IRXvepVHAhYauvebbfdNufzf/iHf8Ab3vAGXHHFFfyeQtDJvvdnf/ZnJW3PxQa6SJIKTVwsBdYbRN8WuFj6dqlviKdJhMSM0vbzgUreN7dPkwirSULMVl2Resmn+JGypzGVHueqXz3oQI3RmB+Y0ojXrXmZqJLsYOUHDRzJmmYpgZr21nLVuxqfmbdUDJStRFY2mr4Y6DiQCimNFJzwwI/ynEXJHI5Se9i6ZzhyN252qFDzg/Sl7gNrP5AVr//AMKvGLJKO5+1K4t4P3YfGnO1uOQojWl8xZdZqg/rlHCKQsrQmUnOsadZxuhAxfZxGUONswmbnJTjS9zzK07WokGvQGTvChGWDZAXyT4MIVurfRKLQMfHIHqgZDf19ueqPs7CteSeOHzvOlRmtY7nRtwUJ3xQGIhFU2xryhFVKT6HM78OJ3iNw11G9ymoMRs6g2lafn4YJKT2JUS2EnnAHlCE7E6VEqPrgxzDCXOWSSDRSBEYxCQdcTAYTBUsWVWKdAkaQ1UJTGOd8Ker3RMhSJT0LNA9Na3faYbdPD2myehrbtm6aQSJZfTSRSLD1tsKoRg9OwAk3E2C8Xqa7DD7fpjCGCWOYSbEBtXvJFaRWCrJkRjpTGIx3oMqox05cBafkhqfHg124hisKDqV6cTS9Dw2dG/Dggw/hda+7taRtEigdSnUtvhAg7rMFVo2Uoj9q3/72t3G+QOFoFF7+zW9+c853X/rSl/CBD3yAn2jSHx6y7j3yyCP8KrB64KdrnsUHGQICFxpE3xa4GPr2ubohNkmE+xZUEy1EIhQlIZYxv4XZqiuyLdH7jZ6t+G3yl1x5z7o99knmwF0zNKS1JBJSDE3lLZzzNJYYyRNMtD9p/8zOWyokiAqzleYjy2j+nn0DrAYh5UZeqZX7P7WNStPXoTk/H1mZ6HsaKBdmNi20D4gsoHWFD6U4V2s2qO2tji1MstF0ZNkrRmD2dw6SHIt8gmja1HBOn+jTeooRgZm4uiwi8HxiMVUZHdN33PYu9D02BmfWg0mcYqLk+cmnsA2XMfdm5Z8RUVMMREyRjY9IGJtNYTtaNBqZqTLKoa6sAR2BY5iKjqNcqWQ1lNfnxZU7r8hlox3lbDRV0yD7dIxpDuzctgsbqkxFE01zvPcoxqZGkEgnuG8oZJXLTnJOVZpy0pjycSGASvSiixU/ZFMlMmgIPawGpDbTPwtMjhlbcQYnWRlIQehEUlHelLkRRGIZXBXT56dCRlbmloaocxKvf8v8hI1sKLz+clTzOUfEb+GxkA0bU2hhTOAUDrNd9o2vfAtatjSVrL9/5TN/h4H4GbQZO1Ah1fB1gPoKVRkkUL7URmxlsq47fgx/+5m/E6TUBWp7O5tr8XqAuM8WWDVS6he/+AXOJyitf2xsrOh3733ve/lHoLSgmyYqL0nlKoV8WGA9QfRtgfXet0k9fK5uiE0SoQYjh0Ko8c1VdVgYiYWKkgjzkRBz51+YhJitumLVhNuJfQOPoQ27UC5XQtUz6EMXZ8tUoZYVGZQ3kzUc6Js4A7lWw+49bTMIpvnylpaSrVQ4MGnxtHGGDtFQNEAvJBt8KOPB+CTGWG1CQ3HOvYGMY0dOoHlDIz8sHI0X34cWiFQiErLYMS8E7efuAyd5m2j/04Dvrz/yNzj0xDFMjYaRSWXz29h7vB/Hnz6J3ddtx6e+cFfJn+gXJQKdbvhrPYgOJ+aErK+VgdwcVWIu/H62KpH29dvf9A4c/vkptDq2QpZt+XNX0iQokoNVPnT0pVm5SoXgnKWCkPJqZx3GtGGTxCxSwOe67S/i4HpSRvmMcmxr3pLPRiv3BDGY7EX97kp8+oufwpv+5K3Y6GjLb5emaxic6IMz5UWTsQkJNYouHGeyJ4k4SE9FLSFaivosEaqWHY+IXtoXRLpSzhT1qUKQZXWDsZVDx6liHlWmJHVVQKqALEmwyRL8BYQUYTg7hO03tS94LaCoOLvmRBloOTP3B2W3UQC6C14OQKfzMSOlmbjPdGVKomCh49LTcxrVRj2CUnX+mFJlwYbtNRg8PpKvDErfVxl1ON1tqrcuxvuUC932ttJr8XqBuM8WWDEpRflNL33pS/PvL7nkkqXMJrDOQQGrAgLrEaJvC6znvk03uOfqhnguidA8w8pHlr2FSITZ89c7m+FUnHwjS98tRY00n+qKFBZ+vQIVkqmkpip8pFKIGlMYRA8PmmnwTINSqhL2qj/+P0UJusXylpYyMIkmwkw0kJUoixSv0ySp5JwexMAQKztqUI06zuAhSxPiMjqOnETUO4Hfe+WVC+6DwqD3xUCV2ohko4H9xz/0CTz6oyfhTHpRK2+AQzZtjHQMMqkMxs4M4eGRx6Bpn8CXvvrFkg8GZxOBJ7s60YRG9KcH0NTeUJKQ9eWisB9kMpm8FY/2K1ejzIGsrfd++Oto3FONT37uTtxx+5048ngHmh2b84QUQc2pjZiooAG4oU1vXzH5U0E72CpjL0fYPcJKv9oi5LBiU3DDzptwfOgwV6YLuRwYzeTI1fZGfPgt7+V9WmiDVTUVjx/7NfpD/WjQWuGXytGZPYoQelnd50M54ogwuZNALKds0plUIqsqEZsTGOU+TgHnMYTNbLdclUkLRD6ROqobx1GJWp5HtWVQhTrYuMKfufGUuTSY7YF9o4G//9bX5z3+pB7TJC2njpTm7C8ipOg72h56T+2kHCzq725baRQsVOggk9JQi5YZQe4Eu3t6qGa210AdNmAkPcjz0YP6iwnrwfa2kmvxeiKlCOI+W2BFpNSb3vQmDA4OLmVSAQEBAQEBgTWMB77z0Dm9IZ6jJuoqUBO1L16pzeFw4M9e/2rcO/gV/OLpH0NNmFYfu0fBJdfsxgc/894lPRmfrbo6M9SDJmkLD5VpYEygZdBgNCCVQ7aRmkXnQb9qS2PfE/sXXcdyspUKByZuhxcaskw0kW2IXlNIsppmEGdQjQa0YDPiiGIgZ3cyVRPl8JZ50VBZzwoY2lfFMDvofTGQmoxUX8899xz+94e/Rl1qAxTVifH4OAzO1jEHx5Iso8xbBU/Sh//94SPYf9v+eSsMriYKiUAKrh4YGEBjY+MMK+P5Vm8QeZTVMhgY6UObcwfa6rfO4Y6IoDVJjhDecds7kR2UYGQAh23mYFqBg/uEpaAhBZFhUI8xw/kJswkW/kwii6cGm1vGS17+IrhczgXJ4U3XNeOBz3+L+1GxMHv6oUqV9ErKquyEgXKtmpVLnZkjbHej/ksEGhFIpHCic4jOMc66gpqvlkeqJ/N3HZWoZzUgfU7h5/VoyW+rbhhcaICUVMPohxNOlHnL0ZfqhMPpgFN3sXrMcGq49Kbd+Mdv/cOi56CsyUz6ss6sIIssiinOdSN1opnrZlohS61g8Xq93B6nRO1ejOSSeDqH4eT5Liar3Hqwva30Wnyuqj8KCKxpUioajeJTn/pU/gK9FNATBQox2717N2688UZxIgkICAgICJxn0N/xwa4QNjt2ndMb4pWqiWY+FW9D296dOcuQioyaxfBIP/79X/+Di6ss9lS8UHV1av9xqGkNPnsAWTXDyhOyFpnTATZF4TwcGrTa7DIC/ioMDHWuml1mTjVA6BxenkEylxdlghQmXvg5/Jz2FL3SDxEUNIB+2ZUv5QxNQvfB+QfJs4PelwIiDu/53L1wJwJIRtOQtCxckie/n/Ll6yMxGDYdbs2Pez//Fdz/79/FuQQdVyJRztcgmfYtgVROfc8Pw5ZRMBAKcQ5TOpuCFjfQr4QQGYrjkr2XzLHPEcja+qPHHsMVzb/H6rzZkCTZzDgzUkxIkJJnDENmxhJljVEVOiJxLAKJCUMpH06uVOt449vfwOTvUslhOp8oLP3o0aN44NsP5W1SR48dRU98EPFogq16DdiIUYTYihdENfdLbjNX1XPwK62DMqEmMGISyqAql6REtMMNL8YxhEa0sd2PCg7YDJsZ+J8jpoiwccCBOjRBqtQRc03AHXBg69ZtUPUsNmxpxuvfeuuSFHKUN0v7mAg9J1x8LhHpRXttBH1oRDu3l3OmiBQj0tqQmPy0zrXVVrBQlfD58sHmA01P89XVzW+LXm9WufVge1vptZjmOxfFJAQE1jQpFY/Hceeddy6LlLJAF6qdO3dyDlV9/fx5EAIXFrjsbjAoyEaBdQfRtwUulCfKy10HTUNP1iVdOq83xEtVE833VJzmV2x2/ml1Lu+puKXaevTRR/H0y3/L5JZsk2EYuklMUb6MJEEzVMiKDK/bkxuISjyAXi27TLGBCQ3WIzygl3gwTz9kaWpCW54IMg1QpJ9SeWBduL0LDZJnB70vBaqh4vizx+CP1EDRHaYiJ0d+WKBBO1UIU7Us1GgWzz914Jw/0T/X1+xiiqgjJw6jWm1EXIpASblQbWtEvc2JY/Hn0SS3wqYriI0m8NQTT+Pa666ZQ0zRMuWMgsnhMB/b2YjHYqiRmjBs9LFijggbIqXCxgTrevxSML8cM5dMg9frRkZNI+2OYed1O/KEzULkMH22b98+3rbeU/3o6OiAEnWhwduM5pZmJPQYZ7oOp0axAVuYgHLAjRD6mdhpwSYkEOVrhpWPVo16hDHOyj8KLCf73jhGmEwbxGkmtSjLjardBVCBnbic39M2kEWPst2oz5Oyimx0DRtqsP36y9nuSFjuNZbOYQ6LlzTEjQir0Nwg1Ri12MbtI1hnGi+b1JKqOoOUWk0FS1VVFTRp7nGnHKnQybEZ+WAWiEyj+S4mq9x6sL2t5FpM58JatSKuBOI+W2DFpBQpnr7yla9guUgmkzh9+jQeeughfPSjH8V3v3tun54JlA50IVlPF0gBAQuibwus5SfKZ7MOtqb5/RfMDXGpnorTfnjhC18Il8+JMluABVHmLjMtaTPfT4PMUnQ/VIqBCdmxbJBZ+ULKER9oPabNifKj8m1n1QkpqtKmjauA3FhokDw76H0xUFZX/cZa/O6p51ChO00Vx3zPJQ1TtaHoTsQmE6yucbsXX8eFeM2eHqRP50MNTQ0gEKvCSDKEgFqJMkcl7D4nHwci64hUIbglH9LJJA4fPIw9l+6Z0buIHKXp0ok03F4PMok0HLK5TdmsCk3V0aBsxIHsE/DpZWwxJUsnkTq9xkkEjVpUS/WwS848aTmZGodamcAL/s+V+NQ8eW2F5HB+254fRrWjAaHOEXimgohlwzgWPYR9A08zWUvLpnXIeSWUxAQJkaQu+Ph6Qf9I8Uc0ElXd41w2RFnhRRY8Iqea0I4MZ2U5mFibxCj3awpIr0YjkojhDDpylQYNZKUMHEEF//hP95zVtbSmpgZZpKEaWVZKUfuTSPBe42OReyWdFP2fyGpdMor2sdUi7Inw0mxZpNUkk7yWxZGQjKTy01mfp40kdEWdQ5StZ6vcerG9reRaTEUz1tI2nC3EfbZAMSzpSkY3F2984xuxUrztbW/Dddddt+L5BdYeSLI/OjqK6upqUTlBYF1B9G2BtfpE+WzXYfXtxk31SHau/RviUj4Vp3O7vDaAVCgJl1JYmlrKEVIzkVITCNaXr9o1YfbAJKuleYBOIeaUy0OD8yCqZuTZmGqRdG7Ab0dWSvOg1M5hz4sPkmcHvS8Eyhd695veiv/41g9mkGILgSxWVJlvvV6zpwfp6RmD9BN9R2HXXXBobpTbqqGrOiub3D7XHCseWe9i4wlEwmGumGjBJpuB+tT/tjRux8kTHWiQN/J3RPLRcYUsYZdyJfZnH0eV0cBh15ulPRzMH0IPRo2BnPqOBnwO+PxeXHn9XnzxK59fdL/QPnzHbe9C32MjcGY86Eo/hTPRTgRRA69RDp9UwQQUqXlIQTeBEEYwmNfumRojhZWGpDqkz4moIkKKLHFE/hCJRSHi5ahEJWrQjy625BFJRXlRIfRxvx/FIBMv5vJssEk2Lh9v+DX88/f//qwzyyh3jPi+ydQoq7hMdRRdC80Tn/d1rrwAk2HIcLW+YtfA1SLsaRn1LfUYPt2HZmzOf07HrXlvPfoODPExMuvvGRiW+tDQUl/Sgf1as8qtJ9vbcq/FZK1dTxD32QLFsKSecDaEFGHTpk3sxRZYX1iJnVNA4EKA6NsCZ/NEeTbZw0+UA1swdSjJ062kf63WOujzW9/0Wgylepe0Xrohft1bbll2ewvXR4Pq5W6z9VR8KcQZgabr6xxY1nrec/u7MaD2zF5zbhkzl0PTvff2d2O1BybWcXAoNGgyUMWB5ptYOTKEXq5eRjk7lC1F6hIaqJOSigggaudslcRCg+R80HtsaOHMsXAfV4O76qqroOtmMDXBUuDM/uEw+JyKgxQ/84Wtr9Vr9lL7qDlIH0F1QfU6moeyo8Yyw6iUzIgKImZI2aRnjblWPLKe6nb09w3M+liCx+tBVk+jIdgEOWBgSh3n74jkovloXX16N7ZIe1GGCvSiA6eMgxiTBplY8SKAZrkdzXIbWupb8KqrXwt1yIYDBw4suF00aL/tdW/GoZ+eQFmmiitAnoweQaPRDtJjOSRnrtqjuS1k46ySGlCDJu6XVgA7b6sBVjlRPxzHMFsNKbic9iy9Jysq2fWore3YiQrUIowxRDDJKiqy0dHy6Ed2SvCUuVHfXIctWzfj5j97Ka6++mqsBlo2NmMCw2wpJEKKyF8izazqf6Ym0czCIiK4mPJvNQl7WsZLbnoxRqVBTBljuU9zhJ9snnvWNYm+p+le/PsvLunDgpU8FCglZqtLLSXiQuftWrW9LeVaTKDvqbIsWW/XG8R9tsCKlFKf+9zncDb42c9+tuZYagEBAQEBgQvlifJqroNucAur0K32DfFq2BjPxVPxW2+9BV//8t9jtGcI5XIVExNMAORAmVK0rCl9DK5WGbfc8lqsJgqrAVZ5almJQoQAbQeRDmRj4tBnNjjNHFjR4NmqGLjUQXJh0LtZga2FyTw6XqHwII70HEQ4NgWP3402Zxve946/YiKCwrXtXOGN1mhmBVkgMsIiq7JGFpqscnGctV6mfk4fBVVa1Bbso+YgvXnGZ5xJZtigaom8TY9AxzCVTnPuGVXgK/yO9mIylmKKoXANrXVtONV7CrIk4brtL+LqdgPhCJyGHzZJQUSfgMvwwCeVmfY3uQ0+Wxnvf85wygWbUyB6LDLOx7Tes7CC0FJIPfHjZ1Cf2YjByABOGydYIUXrIfWeaSG1s4qJ1mNqiAz+vtKowyB6WLlH9jzKfKpBI6ufqF1ErpIyivKviMRihR8HjBMRJPP3lBt1Bid5/5ejhnOlDLuGG158PbKailC6n69D1HdXg4ShYz8RmkIFqxLHuc1EiNExqjRqOYydtoG2l8oPECGXSZvkR+H6V1vBcuX1V+DhBx7H6fgxRI161KElr+AiK2HKSGEIZzAuhdDo2Yirrr8SF5NVjpbb0FaHnue7cDrUzWQwXRvp2kOE7rbmHagra8iv/3zb3hbKfJzvWmyB2k79azX7vYDAWkdpjMgFeMUrXsGk1J//+Z+XelUCAgICAgLnHOcifHU111HKG+LVsjGeizBYsg386Jc/wBU7roZ7MsB2Kac8vR/S2SR60h1IBiN47pfPrLrNoPA4HH/2kJnLxLdlZrYVkT+VoEHyMA9QZ7Q9N1DNZrN5ZdJSBslW0LtVge3YyRM4efIklKgTjb4NuGr3Czg3i9oW641BNwwmFEjdkg9bL3jCTdMRUUGEAlVQozZTbtlaRrFcKAvJrgTu/fDXWSlW2EenB+nT01q2OytPaQYkCbqqod7bhPHYEOqkDbO+lpgQKgw81xwqtt/QhpFQiKvx3bDzJiaWHnvuN4AmIapNoQVbmfyRZBllSpC7SmE1RBMGqpUGnOg7hhft/v15yQLaD29/0ztw4H+OI5lKsi2PsopoeVWoZxURKZfolY6rNbeZdSQxuVSDZpzAPs63IqKMyKhmaRN2GpfjKPZxJhSprWQovEwfiOhKIY5wTltnZiRRP6f9OMp5U5T3lEFntgIbtrTMqQp4tiDyORqJYQe2MxFMbelHd64Cp42JKtoHlGxFtkMi12LqlHm8bLaSKVj2/XY//BU+7LFdg95EFw5mn4LLoOvRHhw0DvJxqLLXYo/nGqTKotj35H687nW34mKxytGyJ6cmcfREB5od7VxIIP9dPIXjx06gI3Ac122/EYpNOS+2tzzZ/c0H0dvZz6pCY54HMrOvxXSe5qthbppbDVNAABc7KUVVKl70ohfhBz/4AVpalnZDXAiSfx8+fBhf+tKXVtpGgTUIukhWVlaKi6XAuoPo2wJr7Ynyaq2jsG/PvSE+yVX5DNlA86amFd0Qr2Yw7rkIg6X2fukzX8bLdr4CI+FhHOzaDzWlcZU9Mu0oLhv2tF+G6rIanq4UQb7Wcfj1r3+Nx296LK9+ivLQeJhVAHFEebBMFddoEG2WjqfB/DSWM0i2KrDRtB/9wMdQka1Frb9+zra5HE5A0pEwopxbRKoWIiKIRLDIBMkwKwWSjSuOGGSHSZRZg/dzAatfW4TDQtXY5suFsuB2eHJ9NDSjj/IgvSDfa3ZFy3hkdHYuPqNMqUJI6UdEnUBArqAGsAKPDFmFJOdILITmS2u5otwdt9+ZI4ubUV/eiF11l8KISjgc2QcPkUR6EgFbedH18fJtNg5JJyUJbW8xsmBaIfU0tIS5KCc8rMRhFZNkEo20zebxlvPB29bxp+9JweUx/Hz8qW9QUL/PKEdQqsJu42omqQbQzX2WbKc0Ny2fwry5kqNkMAFkHS+TnFLRIe/Hv/38gZL0I9p2WbdxvheTqAiynov2FRFQZDHsL6j+Z1adNO2TpVKwsG22O8SEyn8+9T24jQAut7+QM7ekExIutb0AGVsGIaMXPcYJvHr763Cm62TJlElrrUKcdd46Q2VordiMbERDWkshloxC0yjTjAa0biTiEfwi/d+4fPOV59z2Rteed775L3Hi0S7400HYuVBBGi6vC9GwinuPfg2Ne2tnkN2LVcNcrxD32QIrIqXoidlb3vIWvOQlL8E3vvEN3HjjjVgKKHyTKvZ99atfxbPPPovGxsYlzSdwYYCfjtps4oIisO4g+rbAWnuivFrrKNa36UbYUj6YAhiTbFhJ3sNKLYbz3YyXOgy2sL21gQbsbr6UB6wZNcUZT4WkQSmDfGmbKSuHauqRioSypKgsfSNamfChwX8vOpmgImuTZX+iIXRGS6M/0rOiQTJt/8ACx4tUQNRfnKqHbYRkw6pFM6tHLGIijRTbt6YwjnJUwXCbpNC5gJUFdfToUTzwnYcw0Lm4Dc/KhVq8j9ah+0BH/pjzID1XlW02trfswuDwz5E1Ztr0CLIsYYv/EpyMHkJCjbJqyO/0Q/GayqNkJjGD5JhDFnedQqo2js7JLhg2DX6PH3pMm/c4a9DhdZvB/bQvyF5ICig+z3PnND1sfs8734cjPz2JbFplEpamJqUTnf8caA41b9U0j7WZa2RGgJvHnvogzUPTUg4a9YXTOIEuHEGN0cjh5XVoZhVVB55nFSARF9R0Ci+fcR2y8pMkwGlzwS47kMlkSlLF0SIYre2w/tF/Zsg5sNHYhhjCTKjR/qNctxOpCrRt31gSBQu1iR4KPN35ODbbd8EV8CKWiiKpxiFlZVbb2BQbNrm2IynF8PTJx7lgRamUSWutQlzheRvcWoVnfvsM9ATgkongnCYuSVl2ZvgknvU9jsd//Ng5u4+j69CLr70Jth4vGu1tkJWCAhVxDYOnQnAFnJhAYt4HMrOrYa5niPtsgRXb9/7yL/8SfX19ePGLX8xllG+++Wbs2rWLiSafz8dBm/THY2JiAmfOnMFzzz2H//zP/+T3P/rRj9Da2rqU1QhcQKAb95GRES6tKyonCKwniL4tsNaeKK/WOgr7NqlZCm12W52XnHW1wOVYDOucTbjn7ntRU1M7b+5UYeZSKbKvirWXznmXo7Aa39nZLpcKuocihUgnjnA4NKmi8m2CDRuwhQfJVJmMiCsipogEuGrDLnzoL1c2SF7K8fLIPkxiBE1oZ/vQCezn9hDBQO0loobC2YlAG5C6UOuuxbnKguo91Y+Ojg44Eh5cfdXVqE1tQCBQZpI989jwiuVCzYfCYz49SE+wmqoQlGNTHgxieKwPTbZ2q6E5RZRJwGzz78VoagjDxhkMGSra69rQkTmI5va5Np3Z6gka8NK5+rPv/QpOu4sHc7qmc6B6IXSDiAsZit28tU9m4/j1oV8yofLKF/0p+gcGkEmnEYlFYE+50GJsRhzdZoYT50RRVUeFe5ZJRpn150zKaJrAMT8B90E3fPw+hF4mlYi4jCHClfRGMMBZaKbKSufz26E4mPyh4kdkDbVA20yWKw6JN1TYnaVLF6GBP5E8FGBukrtzCxtQG8lqSOdh0kigA/tx/0++w6q4UoD653h0DHpEQpliqv7oWNMhbthZjcGjo+Cihqxoc2EgEuPpS0kAF3sowGoyUprJ0+o2QqmtctZ5S0fpVMcpBOzlkAM2JJMpaJpZtZKOIakE2z3bMRTrxmf+5rMlUbfOBu2Td9z2Tqg9Mhqdc68tsmzj62gmmsJEb5jtt6WuVFisjWtJhSXuswWKYclX/bvvvhvXXXcdPvaxj+H2229fsFPTd6985Svx5S9/GRs2zPTRCwgICAgIrBeciyfKq72O1bTZrcRiqGoqnj31JGJTcdRe2Yotzvlzp0qVfbXWgnytKnpkcTJtTjMVJGRxogEy/RAZQMHQVLHs7ns+w4r25WIp229W0nPClfGbtiyUYQeuYEqK2mApaogoo+8rjFoEKspKpt4ozIIiUnO4cwz1iTaUOyphzzjRdfwMnD47tm7fWtSGRyiWCzUfaBmkVLKOuTlIv2+Oco++e9neP8K/PfldjCbdqJTr+Kh5XSZ5pesaUnoKVZXV2NK8CcE9Lrbp0T5arC/R96QW+vQXP4UnH/0twv0T8Li8bM0jQoVhEJ1kElJen4/bOxwdQlyLox4tMDwGRo+HkYinIWkyKlDPCqcoIvmgaBrURxBGEjG44GXVJBE3tB1EKlkh57w6JqgMzoAiIoyIp43S1rz9je14bO/TmdAclQZgeDTIRKpoEhNPeSUJrahgH9DydJvKqpJSqUZof9pcEtJJys+ymfa8GalZVm4WWP2WRQqK2waPZy5ZvVqg4xyNRlCNjbO/ATNTOdLFQiVqMBo7U1KCwXooMHxwCE7NjYG+QaTiqXxbyJbW2NyAtC1ZUqtcYZ7bVDiMVCQNj2KSoX67+TrnupyV0Pf88Dkhf4gkf/6xQ2i171xwOofNhUQkhspMfUkfcKxmwREBgXOJZT2K+MM//EP+ISXUww8/jOPHj2N0dJSf8NHTg6amJuzduxcvf/nLhV1PQEBAQOCiQKltZqu9DrpRX+1qgUu1GNKNMlUVc0fK4Feq4FScixJipQiDXWtBvmNjYzz4pypgKSRYBRXFZL6yGm2vSUwFWSlBliiqEkbzrYSUWsr2k32PLEQOuLhyGrXLUkpZZAYpparRyN+PoB/qcLIk6o3ZWVBDUwOmqsRewd9LkgyP4kU6kkLH8Q5s37mdh86FNrwdO3YUzYVa6jE3B+k1THTRcgthV+x4zQv+Ar88+N84M34CQbkGik1CWs8N3utqEXeEUbHXvSz1oQWa/u+++be4651fgDKuIJzKgLgkIlRIHUKWPSI2U2oSY+FRTGqjCEo1OJU9Ad9UAFMY474VwQQqUI0B9CCCce5zdBypT8UwxbQHBXxPYpiDyYmMon5nWhdNyx4p5OQc9TSMXiZw2LoIR564ov5LRGVKimPLlq1wNSmY2D+FYLoGajbLSokZ4iQKbJdJ5WXDlHMKe6/ZU9Iqbnuv3YvTvx408+MMLV/d0iLVaJto22nfhDGBS39vb0kH8NS/ywMV0ENLU8SyKs0XLHm1u0/c9XH8wQ03I3VaR6OyEV5l+lqTiibw5KHHuDLpz+/6acnaUZjnNtA3wJa9Ym0tBE1f42iYQ/6UQjF0/zcfgJxR4CgIXp8P1PaxoXFM+U1LbSn32WoUHBEQOJdYkT72iiuu4B8BAQEBAYGLHaW2ma32Oih/Z7WrBS7VYkjVxEyLSgXiemRe6f5sQmy1w2DXWpBvVVUVD+rpZwCn4YUfddjA7y2NBKmTqBIfkVGN2Ag77DxfKbc/o6YRQBV6cQpBVGEr9sIOZ37wThYoCrMmqxblJU2Fh+dd1tkcu9lZUCf6jqLKNvfhp0NxIhGJIxIOo6ysbEYf/tLXvjBvLtRSjvncqpXNM6x8qp7Ftk3bYb+BCIYg+k4NcHt0KQt/u4J3nmUW0eWXX47t17Vh6lAa23ZsxbGjx5GNqXDa3MiqGYTGBwFdQlKPIytl4NZp8K4zIUUqNyKlyAJKxBIposwsKeK2VHigMKFEUyW4Ht0EAkYF7JLBx5tIGsuu6YOfg/hjRpyJygrUcJU9msYiUCnYnMgtt8eNy1+2B3/++lfjLa98B2xJBzwIFJCDZp6dhYg+hYQ7jA98tLTFkW5542vw0d98AgE9yHbYfnSyWXGaAKbKl3VmNT55DLe+6UMlbQ+dF+X+ILIBmW1epKqZDxktxUoye8Be0mp3dL6SBW53+eXQLtG5mmMiHudKijr1Gb8XlzVfDtkmldQqZ+W5UU9JxdPwyotX9+R+6vLhZOdhJkD5oYalGFokd265+4jO89lZcvOBrHzxeBwBOEt27EqhhBYQOBconWlbYF2DBhLCCyywHiH6tsByMXewuno2s9VcB/Xp6upqDoRebdvaUi2GTCbIjWxpIgXJQsssRoitVhjsWgvypYwvGiwRIUUB0WTTMzN9rJhpgytx1WMDophipYsEG89Xqu1XtWzOgjXMOVdENAzijFl1LT94t3H8uRdl6MMpqJksZyBZAdVzLCQrHBAWZkHRMsm+ZpWEN3Qjl7ljSm9csgv9fQNMStEnFFrf2XmKv5svF6oYKIScMp8K2zc7iPxEYdXK9kb84Qtuwr4nn8dA9xATUkRUNW9uxK1vfu2KCKlCIo9+37ZnG+7817vgjHpRgTp2v1E+ExGEimFntRrt3wZjIw7iKSYS6bjVwSShaf8ToUR2PwNZrqhIGVBZZPmYUt/rwQkmmgaJHDUCCKKGc7GccLJyiIK/SVVFAfeksCKyagO2snrO6q2UmzPlHsUf/MVL8Okv3AW73Q5PlQtDY73wG+UoN6pypJhJSmlGFlPGGKL6JGqqKkpeNe35pw+gsaEJ3QPHUGlQfP9mOKRpwjljENnah3FpGBsbWrH/twfw+te/vmTt4eMr6di6Yzs6jnWwzYtUNXS8Bo+McN82baBJJqS27tiKzuyRkqpcZheuoEqQ1AfJ1ksqysK+XOpCEHTexjvjS5o+o6fh8XrM9unA/33fRxA6MsHXj0Lr7ny5c8sBnZuKZAb4L2OLoOqZkh27lRYcOZcQ99kCxSBIKYEVgf8waWYFGMGwC6wniL4tsBLMqZq1Sjaz1VwHlzSnHJUS2dYsi2GrfUvRMFyTTEiinsrVqzG0t7Se1xyn+YJ8iw26Sh3kS+sl1ZEXDfAiwGTQnGn4R+fv6SeMsRVVSVyqJZSOIfWtalSxcqawIqAFUm+NIcRh2hSYTYoptmbNyoCiAeFmxyX5fpFaxoCwMFOGwMdn1u2rzS5DTWt5NQJlzxw9fAypRJo/69FO4P3v/ACuuv5K/Ozow2dtg7WqVpph4xJ0Q8Vvn3wKnc/2YnPV9pmD3+7lDX6LZcGktBT2H9iH8nQNdjmuRsIbxYnIIWg6Wc9cTDF54OHjQATRMAb4vOWgbsSZcOHQdMRhRz1ccHN/q0EjE0iUMeWBn3OVNmIrZ5YRyNZGKihqA/U0UshQP6hGPavmSLU3hB4M4Yxp35Ns0CUN5Y0B3P9f/8KuCjqP9u3bh2Z/K4YcwxiLhTCEPm6fZQOlfmbX7VB8Mpr9bThw4EDJBspWf3IqLrQ6t8KV9ULTs0ggO11tUAJq5EYO1HYoMvo6B0pulSPiJdOVxvad27hCYn/vAKtqiNDLqlkm8emaSXbdVDZVUpJ8vkIIZiC9qbA7l4UgrDy3+VB4bEa1Qexo3sGfHTt5DEGtdh7F0NzcueXuTyYTZQMerxuZeBoOeXGiKaun0bJl05JyGleiLF1OwZFSH7f5IO6zBYpBkFICK76gjI+PM9MtLigC6wmibwusFLOrZpWi2s3ZrIOmj0ajfBO92rY1q+R81+RJ9BzuR5mtYkYYLqlWTDLBlrefLCULqZQ5TtNBvoPQNYNVXESaWUQfDTS2Ne9ke0opg3wJdPyIiCJlC+03M3bZJA8LI44t9RRN14+us+pbi1lCdUPjVmjIcm6UWRHQJGPolRQ3ZCe09FxkCaPWPPvss7jhhhvw1x+9A5MHkqgw6tB9soetNxZcXicamxsxeSi56ICwMFOGQIShGc6d23eyhNotlayWouMYj8V40O6zBeC1+fOl4u09AfzsxK9wOtLJBExdoGHOuph40XWMJUaKHvPZRBuRT9TvHz36K3jD1dBkBT2TZzhs3ZZTASxn8FuYBVPnbEa7soM/f/Dp76A2vgEwZByMPcMh5ZQNZVW2a8YmVktR9UYikkYxwO9JxTaUy32idSaMKGTYWT1FQeVkE7VAhBXvT8hMbFGQPpFTfpRx+HkUE0hBRwRTUODg9dc5G7Grdg+f44ZiYEwNYePlDfjUF+6acc2g3J3e3j44si74FS/8ehkkw5ZXShmShqgcRiobR29vL+7/5wdw2ddLM1CmfRwOTwFRGRvLWpHOpjk7TVWpv5stUhQbfC4/nPY6DETPIBINl9QqN5skputl2W5S+hkINHoRGYjPCGI/FyT5WioEYeW5hTqPwp31MPFMKtFUMg1dM/PO6MjFpQjUijRqA/U4M9YNn1o+J/9tNgpz55ZLzlhkoiPsQfep02iQZwfVzwSp3aLOSbz+LbeWJJx8rR23+SDuswWKQZBSAgICAgICq4zVspmt9jponob2OiQ7V8+2VjiQvqb2RuyLPo2p8DiqbfWQ4jZ0H+thEqp5UzNiagRKuY3tJ0u5GS1ljlOxIN96xTMjyHf/oX0lD/Il0DZSRpRJSJkx0jPamn8l+xspkQwoUM5q3yxmCc2qpk2PMoCImLBaQLXeetHJREUjNnGeimHonC9EmUWf/9A9+KvoByCNu1GWroKmahwE7ncHuMw9QY9ruX7hQFTFggNCK1OmsN1kz8kk5ioTiJDSVVPBpNiUGXYej9ODNudWuCUPjob3I44o50K5HB6Ew2EOUSbSdkwLIetP4MVbbuQBojUQnB22PjsnrcJRba4vkp4Rtr7Y4Ncilx0OBxN5/U+OIjWm4Xj8BO/vgWQPlJgb4xhGEgne79XwsrqJlGtk2SMiikgk6heWjY6IJzP/yyRbqLId5QGFMc59h5RNFOZN1rUpjLDqiVRTlmKqDBXYjavZLkpqOLLb+eGE1+6Dt9yBjD+M9k0NsEHCKPr5OnH7Wz4wR61J23d4/xEMj4bQpLfBbwsS22x+lyNgCeWoQkSfRP9oNw7tP1yygTL1p4HBQbTLNHCXuE+a/dLIK/kKc66q5Xp0DRwqeSB0MZKYtj+vODXOPpvwQi0EYV2r3jHyLhz86QlUZusha5SDJsMmKRy0P24MISOn0Jxqw4ljHTiZOoxrN95QcsUQkUVfPvJVyAEDU5FxlCuV8047nB3C9pvaix671QgnX2vHTUBgORCklICAgICAwEWEW9/0Wtz74bml7YthsSfyxUJVb9h5Ew/U88G4soLkVBxDw1244iWXoiayIa8iOZ85TtNBvlfAuceds8tEpkue+124ruUGpORESYN8pzOlZFav2HOV9qyy9IWgATyRDDSdfBaZUhZocHP3PZ/FM888g//41/9CR9e0JZQsWLQ+yhcyS9Ob+4wIqUrUc3g2ZQsNGN054kNiwiN7LIWMrqLBqIbL5uVBta7piMViiCkxVPgqWengkb1M4GS0LCtp5hsQTudfTWdBkYLt+LHjeWWCpukIhyNQU6SgktgQFqVcHjephkw7j4X6QDMSRgJ/+Lab8LvHn8N//+x/kI1qUGQ7/H4/Lm++HHVlDUj1pGYMBI8cOTIjbN3C7ND1YmHrswe/NCidrYgYmRrG0NFRNCub4HX44JVNJeFwYojDyak/kCIqhF7UYCPb6oiMIqKJ9tGEMcJWPlKs0aupLjNJzqxB+WAGL4cUUURsUaC5pZaawiiq0cQ5SpQ/RWSWRRaRVdSHADJSGpQx/YIX/B56E9340D2mXXgxtSZ939PdgzKtCn45mP+c+pIVmG/NG5CDKNcq0XO6p6QDZdM4SEMgA9msyjloujptmZUVmddtt9NURH6UfrhUlCR2rm424dkWQqBjRllzBLLxFbahlA8QrDZ981+/gct2XI7TPcdgy1V7pOqJdpsd9a4mlNsruU0jE4OI6BHUVC2skrJA1xW69q2ECKXrVvOldfBIXnT0nsBAOMoPZAoJcyLGB7M9sG808Pff+vqcdaxWOPlaK+AhILAcCFJKYMUQkkuB9QrRtwXWc9+mgeRqVfIrFqpK66BQ3NnBuKejp/AHr3wJfvqNX7FiZTGU2qIyu+1sl6GB8qw8rDKUlTwQlsgQkzTwsAKGwqMpWNqy8BFoCJ9Ciu10NB0N6Gm+lWC+APKm9ga8+vWvwjXXXMN5Nj/41x9zwHquAayEcsPLFdh60cHtaEQb626IJGnDLpQbFTilHmYFA2wmsUbKJZpWVTOYiI2j0l81TeDEVRx7/sSCA8Jbb3stvvzBr6HdsZ2PT21ZAzoCxzAZHYcj7UIg7oGWNYPXM0jCbfNA0oBQZBBR9wSq/TMHpw3uFux7cj+cLgeubnsBKjxVc3LEZg8Esxk1H7ZeuB8LQ9ctFIatzx78Hj/VgY/+1e0YOEgWwBZstu/igf7Tx59GS2YbjCyQzCbg9fmQUTNI6ykmjtzwMRFI6iYKGKcKcaReYksnZ1zpqEYDJjDGg3U6YDQtWfhIZUXf0TGm0Hqy5VGmFBkw6XsioojsIqIqhWSODs1Z6+ifrKOs0o/Lr7wc48lpa+NS1JqkAItH49go7eJ2khpqTA9xW6x+R69Vch2TUtVSA4YjfTxfKUBkV1NjE1Ink9DjBjRVz+VbUVsM3q/kDk3EErApMiSXxNOfCzXJ7NzAk12daMw0YCA9yOfmamQTLrcQgsvuwtDUAPZ1PYPxyXFIumyqcRQDFeUVuLT9SpR7KkqecUWgrLHttZdgIDsAdQqotNVyILy1XiJ/RrUhSOUqvBF/UWJ4tRVDhWRik9EMpdaB06GufKXCrJ6B4dRw6U278Y/f+oeiy1+tcPK1VsBjIYj7bIHZEKSUwIpAN+y1tbXnuxkCAqsO0bcFLoa+vVrVAhcLVS0MxqUBPVUmWy1CrFRBvjbbdH7RuQqEJdsYEVGkgSLygQbqJjlg2pusV7JckTqGiCualuYLBqfVJ0tBsVykwlDur3/im/jRnh/jrz76/pwyKzdQB5jcaEAbzuAUKlEHv0Q5U0DUmOQAbOs9kVRMEGUzcBX0LUVyQFVVpLOpvJWPCJzu/q45A0KLOCMVFdm/jh09hmPpUyhTgnC4HPA4gzgVPgK3GkDidwlW3FAQtyZpbIQMGb3I2tNotW/FyeMnOUDa6svU35/a/wxqnfVoK1t8INj1fAcms2O4ouq6Gd8VC10vLP1u0jrToPenT55GWaqSj/PTHY9zjlkqk0A6loVddlBsFNKpDIYTnejEYVbq0PEn8ohUDTR4pn2r5n+XkUGKPyPSiqx21DdIDUUh56R0ouyvOCLcr6jSHoWZT2GCl0/kZwCVnBtGpGMvToFq7lWgltdN+9pf6cPWnVtwJt61bKUOVygjVYsho1s7zvleHJgvFQTmk/1KCzFZ1WrbwpUEaT6riuNysFjWHn3uC3gxokUhZRTzXNMSOR2iea6xUtLmgZyxwbCrqA74zpma5FxkEy7VlvbFD3wFfX19GAgNsNJtq3SpedyosJ2mIzEWwVOTT8FWYeAbn/x6ydtE1+wmTys27dw+U41r/H/2vgNMkqu89lR1zpNz2gm7s7NZKyEhCZF5JBMNTxLJCCxMNCBZIEQQwiCiRLDkB9iYKBGMjbBJQkIB5bR5Zmd2cs7TOVZ43//XVE9Pzjupzmo0093V1bdu3a6qe+qc85v5u+90uVgVSZlSv3vynjmJ4fVQDM0kExOthUzcpZQUKneX4+3vvXpBMnEtw8kXK2BxPm/8zAfjOtvAupJSJCG/++67MT4+jje96U2oqFjal8vA1gSdKJPJJN/JMthuA9sJxtg2sBPG9lpUC1xRqGrbOfz4nh/gc5+8edWE2Gqw2QJhzWYzkwsTGEUxKpjomCI7ZlIb4OXYgmRe3mXcfLlIOjJDub/6z19nooyUR0RwaFocBQnONZoioHSyihRTuipKU79oIdwUmC4KU0QfWcvCsXCalCICJxqNTFPG6MRZ13P96OrqhhA2ocbUgFalCZF4kEkdIueK1WrIQgoT3n4M+4e5+ptVtXGZdqr2lm3J0wK+g2GuaJY5QR3qG8KBvRcuqd8KrCU429EIzqHPwMzQ9ekQONiYo8NJeQdwdlU4EEVzTxOUkIA8oYRVVqcTz3GWE6nAFDmFHrRxRlQhyjGBYSZLqIKeZsPTrJKkdCL7HZFH4xjR+lwQUanW4TgeZWKJ7JREZBZMWvPIlke/y4VaZKm5OILL0YYznK9F68kSc+BVsxBVw7ycySkiJy8L+bvdQG1sxUodu9WO9vBZ5KnF08aNDiI6SK0VVCfQLp9dNhm1nIBo+m31EmkqIqQEYFFIw6dZVXU7IY31hBRDSgzDAy/sWeefFNKxUZ9L+7kr2IahgXEtCyzDekmgseYWsmCVHQgER/Hru/8bF1988Xk7Zs+lxs38bLfbjVAoOMfRczZiySjKa1anGFopmbjW56LFCliczxs/88G4zjawZqTUj370I1xzzTXYs2cPGhsb+bnXvva1uO+++3igfe5zn+PqK/S6ge0J2s8TExNG5QQD2w7G2DawU8b2au/IrzRUlbBaQmy12GyBsKR4oskwKaBIrUKKF+oPPfB8Kuhc4OBpWo7/DoWWZeHTbCKzc5FmgkK5m0+cYUqKLF1kEyMlDv3LJKCmsoFkLfB8UtFF7Sb1C1n4JFmC1WyaNpmlcuA0W6TlaTmr08KTFOpbnTjzn4ihr7cPrrAXA7E+WCU79gpHmUQZpVBjxJnIoc5pqKtH4LgfdTjExBStV0wAuhiHLD6UGUYWTb3NyVgKLptrSf3mtrsRic5WPs0Xuk45RUS8HX/6RPodVHGQnosmI1AHi+FWfIjTnlTjSEiJdLXDPnTACTeHmheiBAGMalX2VAoxJ4UUUVFaJcMRDDCJSUooejapJng/1Kj7uQIfrY/Cy13wTVNCOVU3sqAFs1ejAXFzBCHLBPxSksnQuBqF6FPwyz/chf379/N+Wen3kd9rV2ELu+AWpqtWMoPOCURYkaIrYQ8u+Xu2koBoSZXQGW5FqVLN3yUi4IiQ0o9DWuXCItgVFzrDLSiS10chuRiIpBwaGkJpaemcCs71BB2fidgkvaZT8NCXhgb81AJEBkGG1WJh0rblkfZptrK1VnnNd8zOVONmor68Ac+dfpb7cLEMw7VWDC2nCMlan4sWK2BxPrPJ5oNxnW1gzUipe+65B1dddRW+/e1v8+N7770Xf/7zn/Ga17wG1157Lb773e/i1ltvxQ9/+MOVrN6AAQMGDBgwcB6xkkp+qwlV3WiLynxtpwlMSkrCYrZOVuGa3fb1ABFLZKzywocOnOW6aVY40oojmhxSSDURUpQTVIIKjGFw2ZlSmk1kei7SfCh1VjIZQhYwsuPRDxEf9Fym9UrPBNIUXRSELHM4OrWPFDqqonJ1PkGg/lS5ClxKTmHIP8i2wEGlB0lfCI899hhe+MIXcm5M77EhSEEVwb4ootIwclXNKkhKGqoKVyiUo009g0rsZhKqUChBC85BFehzzEx0yJLEVkGz2TJlp5tUF4TjYbicriWPN1bXOC2IJCJwzyCyKHS9kULXhap0BUApJcFkNvFkXv8MKSyhZfQMLKodNsHF5BKBgpo1ckZkS51muwtzbhSNAlJiETmoE3pkfxvDMC9HKioKIaecqHM4yblQZWo19xERVTSGaJ0JJPg5qqK4B0fQzuqoIBNVdrMDZTmVEIQqxFIR9EodyNrlxJ8e/gO8Xi1sfdXHFrcdOeMFPERIPaZVkJwODjwXReQKhZjwpJa0b1YSEE1oa2pHSPajE83cL2WomW0nxBAG0I24HMG5ptZ1U0kupPrqbx9EaXkJ+nr6UVJdNEv1tZ6f/8F3fRhjbQGUKbWseEyy4nEqa4/C4F0OJ6s16biZGInip/92F9T3qLOy6uZSrC0Xyz3fULGCpOevGI0Oo9A9f+D5cHhwwxRD6xVOvhZKaAMGtgQpdfLkSTzzzDPIytIkuHfddRdfzJKCKicnh+WbFJJpwIABAwYMGNieWKtQ1ZUQYmvZdpvZhta+FpxqO4FkPDmZTaRwls6BmkOoLd3NSpb1DIQlwoSymyKIoAp7YRbozr8WNy2rEhM8/ehiUoHIi1EM8W8iXZaKKZvIVIbUQnDZ3TxRD6tBViRRmpVWHdA2rTKg1l9ErBC00vVuZDNxElYn4BJ8nC2l6WI0tRf9ZRecGFMHMST3wjbmwN/9n2uhmmXADtSZ9qMv0oUsOY/b7RU069C4qqm0tGwlMxNSmjJLQJaSh1FhAMWmSl6WJmGxWBwejyXDTqew4mQ42Y/CMk0ptFQUlhRiONEL92RIvzppxxvr8WMsOgRFFuBUPKx6IOKQDJhBv2YfIsJxINGDcQzjIJ6vKSNoLJH4BCLiiKIcNehFB+pwAN0I8Pb1oJ1fp+0lZRgRk0WoRC/amCSkZYg4IdKyEvUcYE6ZUpQjRYRTPzp4fxGIsKK2UAoVrSdgH0XE6ofL7MGATDUfU8guycI/ffIjuOqqK2eRsisF7b+SglIk+gElJfMQEVVtv6WXoX8CfQNkUD5+cX7xkkiglQRENzQ0oLO9i8e0D7nwImdWLhg9zkIej+0ABHS2d5+XoPOZqq862374LG44rTnzqr7W4/N7jg0iNpiCqJhhF53TlFFERpE1LnPfEOmbikm493d/xlDj+OysurYobr/+TpQeyl9x25d7vomn4njpq14Mu902qRgqT1fv5DYloxuuGFrPcPKNvvFjwMBysaIzTiwWSxNSNND/+Mc/4lWvehUTUgSS49HgN7C9sdwsCwMGtgqMsW1gtaBzI5UZp9+bBXplubVsE939Hoh3T/sMsmbN9Rk0AXjbe67CZgG1vSfcjv9++Fc4deo0vJE8FErlyJOK+Tc9pufp9e5w+7q1nfrq61/8BspQjSwhDw7BBQecsMPB5IFTcKNcqEMFdjNxRZPoYfQzEeR0Tk2ylmQTmbRPLgU0dbGaqew6ZV0NYQJjXMGNyBEtEnoyGFrQLFiSqqlbmCQSRd4eIkgGlS5WAzH9opqYiKGKcs2pE+iR2lCvXoB94oXYKx5FvXQhpIACaUxFKiFhQh1jG5XeT0QWElGmE2E6kjGJiZkowlzdTdsAAYpECgR9LKrcLspSKT9SiL2H63mCtxTQcgcv2M8TWFJWyIqCpjNNaD/TASFqxj7vhfCLIxiUuxGTI1xxS0lRbkoK/sQoWhNnmCDS9yu1iOx69I+2Q6u26NQq6bGNzIw4IpzdRVlLREyRVY8ISg+yuAKiRnyRps7CarY+tPO+IpJqGD28VlIA5djyoNgkuH0uOH12uMsd+NtrX48/PPq/6PV34ezIKTzW+iCahk/hiVOP4m1vu3rNCCl93GV5sgGryuOAxqA4aR+m+TH9psf0PI8Tq8rLL2UesZKAaIvFAilO/ZiNAqFUIy+JDlaDiKoh/k2P6Xl6nfqblqf3rSdmqr50gkJJKVOqL+9u+E/GeLm1Prdkfn6lu4aJcd1uzaAiEIIZqqSpAae+V9p7OyPnkBUqRKW7bhr5o7XdiV0eantiVW2feb5ZCHS+ede172DF0PW3fQhqTRTNyRNoTZ7m3/T4uts+xK+frxD7tdqu5Z6L9Bs/m4mQMq6zDczEikYEl3eNROByufDAAw9geHgYb3jDG9Kv6+WUDWxf0P7Ny5uR+GnAwDaAMbYNrBTLCdvdLm2i95ceLkTroy1IjEqIR+KTdIYKu8vO1hMKlx6JbKxFYi4cPnwYT5x9BN6QVmVshImejFwZVbPNSaEUnjz7CA4dWp9IAto/HU/3wSG4ObxbUxJR4LKJY1zC8LOViMgLUrMQ+UCmOSJm/vbl/xd1B2qXtC/ZJpJB5CwGVvioModgV2IPq3lIoZMgukQNwCZoE0+iEygkm9RcRKBo79XyZyqU3ZgQhtGjtqQJCVoP5RxRBbZa7NPICVWz2wUUCuamoHIr9z8RXVSRjqCFUGuTZCYyqLqVmoRFsaL/zDC3pEKsxaClC9FUELlCsRZaTdlV9Nl2AR2hc2llxOnTp5dXpeq9H8K+ffvw6Rs+iz/9/H/hDubApjqQQphJKFvKxflPw+iDS/Vwxbkogry91GflqEUEAVabMTFD2yJofewAWfKG4IKHCSpaJoUkcpA/GU7ey2MihAAvQ31HYegUZE5h6LSdQYzzCCHCinLAIpZWZLtyOPTd6bHixa95Id76jr9lN0PmNTr1pX6jeT1A484fnoDD7ELcHkcyEYNJsfC40UO6OJVMTMFkM8FudsIf8i9KFKw0IJrUbfQdo2qG9LlEvhC5l8GxpIPD6HUiRfvRyUH5y610uRzMpfoi66u/L6QF5U9+tzNVX2tZDTTz83UCmMbTTHAmXIY1luBPjcEmOeG1ZC84/6OsuvbjzStu+0pCvJeiGNpoJdFWCCdfSxjX2QbWjJS69NJL8f73vx9vfetbcdNNNzE59cY3vjH9OlXhq6zU5NMGtifoAE6KOaqQspmYdwMGVgtjbBtYCVYStrsRbbK6zEhGpDVrE4VT0wTlzMBxOKM+FJrL0oHPSkRG8+kWhFzjuPQNF22oRWIu3HXX3bAEXBz+TBP9uXJlRjFA2huY/Q78/Oc/x9ve9rY1bwcRhpW+OnRhcLLqnka8kCqmB62cHUQkBFWwI7KHlEpm1cLkx0RPCIrdtqR9OWUTic5SMsyFSCKMhBxHHQ6yLSwbeajHEVYjUb+QjYwIE5q6kpqE8o2Cyjjb9bhCnCpwpT6rameCyKSaOVR6EF0oQCmKUM4TX4EDzzUegKrI0fYT4UQTYiILM8PTM0k1jQgbQpFQDneeE6GxCPfRHtchBKRxDMQ7EZdiyFayEZZDeN7zL8BHPzGVpTLXRHCuSl6ZE0Ea74NDg4hEwojRPzmKmBxDSk1w24h4onwnIqJIGUVtJoKJFFK0zWSu48cZ40yLj7dw31B2FIWc0/uoSiFvuyBgn3oUZ/AsutGCPBTzDwWUU4W+LjSDYsuJZLHbnMgpzEZlZQWsDiuTacUHcvHFr//zebfI6qD2+4PjyIUHQtIEWU4hjiBrwtiupxJBJ8Ai22BOWiHYRSaxFjtWrDQgmgPjBRpZNAXSlH1aQ2cvT+OSSD2TappWHXI9oKu+qH1EnFGOVDwahzvbhfBEBHbnFMmvq77WkpTKVJ1R37vcTsTDCSZcM4+Lc1lj+2PdKDJX8o2IxY7wq2n7akO8M63im+km0lYIJ19LGNfZBtaMlPrMZz6Dyy67DD/72c94YH3ta19jfzH9/epXvxr3338/brnllpWs2sAWAe1rumu02eSgBgysFsbYNrBcrCRsdzVjayl3dedskwA4cuxIRsNr0ib9MyKNEl535C0YDPTjbE8jopEIRJihQILT50JJbjFXP1rvSd1y8ZXPfQ1JKYFiVDKpwpisCEdEla5OIoIgIodww/s/ifr6+lVPVjL3H4EmRNXmffw5uhKI1DPdaEYuSuAUNKuWbpdj9YIA5KMYtpAZz7Y+iSsaXoLBY334zA2fxVe++eV520eTrduuu2Np6qBYD+fIENm0C/WswCH1DhFR1J6wGuDJKrXJJFiQrRZgAF2wqJZ0ehSB+pDCzWk5UqSQLa0GtL0mbqeeT0X9Qv9owkufo1ea07OFpqmjBCvvMwrzpvD3XVWlCE9EJy16ArKtefCZs6E4JeRUepF72D2rX/SJIPXZ0488Cv9IAMl4Kq2Us9otyMrPwsHL9+LzX76Zs1Q/dM1HMNwyxgqwPrkTUZVsXloYPKmaqE2kqiHbHZFKccRYMUV/E5mobxuRihbODdO2y6yaWWXWghOsTKN1aRZNRVOLCTYcUC9mxdQAOrV+BvW9ln8WNk1AyJFw+NBhWEUThtDNuTPXv+fDGx5oTPvP4/aiM3AOHjkHExiBHyOT1RzNbDOkMULVALOlfAwGulGyO3fRTKmVBkTTRJjUPuzqEBa3s9LYpcyk9XSA6KqvGvM+NJ05i3gwwRUj3WYvSsoL0B8chhyR0d7YCbvXhj0Ne9Daem7NwtfnUp1RgP/T409hLDaIImGGRZKtsUQQUxEDICknYXFZUFZeuuhnESHe3Lbytq9FiPdmvIm0k8LJjetsA2tGStFFWXNzM1v3qqqqcNFFF/HzNLCuvPJK/nnlK1+5klUbMGDAgAEDWworCdtd7l3i5d7VPR9tmvkZxVml/DOX2qT9xNrbTVYDmpAOdA2gGFVc1U1XS1DOTxfOMQFDmUhEfhBRklBjCIeCbPcidc1yJyvz7b/CynyEAxGk3EmtTDaGmQyLIcSZNyQjIhKDSA2dtGJ1EQQmOUj1NhaZwK8nfg6PxYvwqSAGBobw0U98eE7yTFMHFWD45CBbaebDUHgQ5kLNbkdKLSJbqB/YDgcVlahDE44hVy3kdoqCwkQMLU9tpaBtIqpoeQL1H1WUo22j12lZzbY15ZnSrJPmycp9Q2ybIrsgkVA2wT5dHYVy3rZytRb9YgfG1RHIggQL24m0bQ5JAThyTcg7UrqwuoAq6wl25MHJ6h3dfkoKLigSevp7cdH+SxDoDMEhe7kX+tAJM2xMN5FVjnKiiEAbQg+32w0f2tHI+4gsmTS5pHbTeKOqd0TOEfFIrxFBQts1gVG2SRJpQyHbemZUCgltWcGGElTyDxEl9LoipGDxWHDp5c9Hq3QGP//DT1nNtZkCjYkAiIeSGJR7MYgeVnntxuFJq6qmRqJtGUYvzuEEIAvICXkXDRZfaUA0kVIwKUgqcR6puhJvJvSxSdZL1aSsq9KMtlVQRTQ3NkMKKrCoNkQiUbbvZUXcCEwEIYiayicVlHk5S51pzcLX51KdUfU6T44LQ4NDCMoeeMXZ1kUipOJyFMTtuXOc8Pp8S/o8+j6spu2rCfE+3zeRlgMjnNzATsaKU8bIC/qWt7xl1vPvete7VtsmAwYMGDBgYMtgJWG7yyFnVnJXd73btNBnsPLDND0UeD3sJqsB2WNUBUwg6BNSmgR04xzyUMRElQ56nSbQRBCUOarhPzm6rMnKQvsv2hlFe0sHZJuFq6O54GMFDCUDUfU0qhDGeTd6hTL+p5E3tJySVOAVchESxlBlq4diljHxRHTeO/2zbSKzK1L1RbvQFWpDYayYP41IIs02p4VR03NkG/Mhmyf1bTgFm+pk61khKrlSHlnUNHsUFdNzchg6VTqj5Yh60AkuHfpjUs0QAUb5VGRjo8kr2RTLUc2fT+umCnxBdQJeIYsJnUrTHs4rOmM+A7PNDJtiR0yKwFfuwq3f+9a8yjZ9cho8GcehkqNQi7WQflL8tfSd5ezUkaYhRI6HmaAkxVMBStguZ4GLVVri5J6gMULkBY0daiORSJoyzDxNDZSNXHRhbNLSZ2WbH9vJYGbFFwXbUz/Ssi64kRRjTFDoWVw6gUL9qYoKcotycPDQAVaqEOFCap6NsunNBxp/TS2NvE1V2INs5KdVcgT6v021s0WVyGCyijY1Ny6J9NWUf8vIBXvPh7QHJgHRVAQm1cJkXyY5qoOJX5VMlRFefj3BuVuhCZgCbihxFbKkZduJJi17TAsYVxANR2EyU9aahEgwvGYqnrlUZ7R/XtDwEjyM+9E70I4sJRf5QknaykfHoWBqAkHnGJwuO/bs3bOodU8HqX/Wqu3Lrd56Pm7YrAU2oiqtAQMbiTXToqZSKfz4xz/GN7/5TXR3L62CgIGtCzpYkhXDYO8NbDcYY9vASmwPS7lTT6Dlelr7llx9aL6KTJnrm1mRaaE2URWp1bbpfGz3+aj8w3RCRlYKkQKsCsogpHQIAqXeaFXCaLLSe3yYJytLyc0ge9h8+89pc3IY9ZnBYyhEBRMSeSjhimo2wZEmpLgNk/9okkqqHCJxbIINNtgRS2nkBtmMaFJb5ambt0qXbhOZqyKVUhOBtQw4kHUB9uYc4j7SyCOBFT6daEYHmlgFRKQZkSw0wSxEGXzI42plrP7JmJ7S+3VlV65QyOQUrWta/3LfakowImwol4kC0t3I5vyqUXVQU4hReLpQx6RVv9qNpJCAySzAKtmxr+gQXn7hq1BbX43XvOMVeOCp+3H06NF5j+U8OT02BItkx+mTZ/D0E0/jvx78JZ59+jnYhrxIBJNQE1rQNZFN1PNEGsUQ5d/UN5SZRbqvSepAU7dNbrOu/KLf6f1I7Qe1f4grExKxSOQb/dSggZVy1BukuBJMIqJiGFazDZKYYtUcb4tZhc1jwdHnH8HhI4dgMpk2XWXLTND4i0gh7kNShGmWQ5mJFcpNo9+cQQaR+5qysWj5pRwr0rlg4YEFl8vMBaOqqE6rEwkhyoRTVA2n7aX6P3pMz9PrtJzT4uT3rXfuViwaI3Eek1BcmlAFYqHEZOiaVv2OXo9HY/CHx9fsOiWtOptRjdJsMuPF+1+Bl130Cgh5MprF53BaeQqNyjNothxH0cu9uOOe2/DS17wISWlp/UPEd3lN6YZdY63kho2BtYVxnW1gzZRSP/rRj3DNNddgz549aGxs5Ode+9rX4r777uOTyOc+9zk89dRT/LqB7Qk6kOTk5Gx0MwwYWHMYY9vAYsiU1a80bHep1oWV3NVtaGiYu00qEBmJr4mdYr23e71BeRZaZbapXBNSvpRgV3oyPO2CmYrJ0Q04rjhlnlf5lWnT623tZ9tNx7kO5PsKsbdCZkvMzAtx0mLYVRcTG6QqIuubDIXJnZnQtSW6yohaaoEdkqJN7IkEodfJnrjQnX5qA03QG77RwKXuQ6EQvF4vL0vKkwJvMSSZqsSJrACiyoTUNlKz0ESdCCYy9QUwzu2kBC4iqbTlo1NV8rjFmklLU0OZkI0CVj+lc7wyQIQEkTUUXk5Wtog5gJgaRL+pA/4UhWXnwyLa+PWIEMKEZxDDagJDQx3YtXsXhLo4bnjPRxfNXqH99I0v3o6OZ4bQFR/kjKcetU1TOonZCCkBpGSJ9wMFlAu8dzTrIm0TbTeB8rWo/6mPiHiiZfTMK8qJon1LxJMXORjHoDbeIKISuzm3jCopEqmnq6k4nwsmZBXlYTgyiKgaAOJAljUHVrsTbq8LZRWlHHY9VxD7ZoTf7+c+4CqBgn7M0L57OjL3VZFagSH08fsWOxevNCDaYrYCdpV8pWybi6jBye847WNNMUQ5XuzhtKmwWqYrP9caPC5EE0alIZSadk17fvjc2LRlqQ9pORcsa5YptZDqjNZfkl2GkgvL+PPouEBVLG/45keZ9NWx5Ky6TMXaecZKKzauZT8bMK6zDawhKXXPPffgqquuwre//W1+fO+99+LPf/4zXvOa1+Daa6/Fd7/7Xdx666344Q/Xp3yygY0HHaDD4TAH3BsHagPbCcbYNrCcTKCS6iJMhCagWpd+0boc68JK7up+/V++Om8AsM1nRSKQXFWbVhMyfL5CYxcDEWOkNiJyxaY6JuuAyTx51pE5aSa1C+UNUWD7fJMVItxIFXXir43o7+uHPzgBJakRMZ3BDnT2dyA/Lx+vPPw3k9lHGroHurBL2I9RdQBlqJ0MM0/xBHk26LMUXie1V2SSQ0BKTfHkWmOtSDGlvXcmeaaP45/++104fewMBnuHkIqn4HA4UVhWwGqNA57naUG0gRD3EVWRK0AZEy596GACijKT6POJXCJSinpHU51p5JMW8k2B96bJFqswT5JTTsGDAbUz3XeZmT60XlIRhVQ/k0O07hcdfAVKSorR7+9BS28zIhE/FFmG6AFe/toX4ep3X8n5pjTJWUoYNSle/ukfb8D9v30A9cpRtm9NqCOsfnIKXrbejShayDi1nyxlesC8pn6iXC8ZSc760qoP0m8e33AwEUXrIFVQEH7kIZfztKgvqXIhrY/6khR5XmRrGWyTVQVpRPpK3Nizfw+r2D5362fwz5/9EnqeG0Sps5KVdVutIhcRpNQvbOPM+L7MZ6mk5Uj9R+9bj4Bo+u5bXGZUiXvQKTQjkYwhS8nj6pB6HUjKJ/OLo5CtSexy7kGn48y6Z0rFJuKQLTKC0sRUfpMA+Io8CAyGtKYRoa5MQLYkEfPLa0ryz1WNciaoDyfiY6g6WjqN6F5qVt1weHBDCdStfjNlu8C4zjawZqTUyZMnuQpJVpZ2l+uuu+7iLyspqOii4OKLL8Yll1yyklUb2CJgOXYkApfLZRxQDGwrGGPbwLIyndpj6O8awIm+Ezhw4GCatFgsbHepgawruatLmDMAWADsXivbkjIjVJbTptWGDG+W71R2djaHKxNJQJUCNePYVM5NJimlEVaTFiNxUtVAVpqMyQo996nrbsIDv3kE42Pj8Ml52COSdUyzrhGZEZWDGBnqx88f+TGuvPydTExRhpGomOFFFlu2ODtGJa2GklbczIbeRm0CTctR21RBhqKoWln2ye3IJM8oAJvGcddz/ejq6oYYMaNa3A+ryQYlLiPWHMVYtAN9zgG0NrUxWUMh6w64WUVGZEoJqtKKHt2WxxXNKN+KqSeNYCLVkJbTQ31H5I7WBwSdxBrDMBn+0n3MW0b2NrUWPWhFQB1HnjMfpaWauqwspxK57gIuP198IBdf/Po/c98TeTE8TLa3+ZFJxt37v/dhvH8cNtkBs2BGRAkyEUa2Otqnev9rpJT2j/e3StbCJLeUnqO8KFqS/s5FMVfFo1By6ifqI6I4uXIjWxVVVkuNoI+r7HEOlaqZHPWkMK446BJw8PBBdEXacN17P8SKqK9+88sZhEvrlqzIxflik6nmcykRp1n12KFoWbeAaHru0MUH0HZ/L+rdh+FPjTG5l5JTvI9lQYbFZGFCN8uSi95UBw5fcmhd+5isTPF4DA2ei9ASPoVoKohcoRhW0YasYg+CQ2EklQTG1AGkLEnscR/CmdhTa1rRdKWqs6Vm1W0GAnWr30zZLjCusw2sGSlFGQk6IUUD649//CNe9apXpaV4BQUFfEIwYMCAAQMGtjKWUqnneTWX4sSp47A22rB3X/2CF1nLsS6s5q7uigOAl4Hz8RnrBVLUeLPdGJ0YnKyOZkmrVTJBz4W4HtoAW3nuf+Zefs7pcsBeaE1PCp999lnc+99/QXw8iTKlFh6TpnQgdQx/HkS4hSxWgYxGBnDvid/h1Re8HrFkhCfgiqDColq1EGtW41g4N4kIjPmgqYtUXo7XIalICTHUVEzZf/QxQeqgm2/8PPwnYujr7YMnkgOfeco+QVlUdsEBk2xBKBjianQpQVNrkcqH2kF2OyJbNIsgVUyLc/ZVlHtEs/rpBAu1i8gZUg3RcvQeyooi8kyr6EeB562IqAG2denV9bQ+S/HWBTyDePlbX4CW7lPTiJjr3/PhZRExtO2fuv4m9B0bgUW2wRywQ5A1m2NMjbAFj9pOKjlJJVoplg6UZyJtskqgXiFPV0zRNlBbKYyeK+FBYWsjbSuRTk7Bjb3qBTiDp5CHUkQR5LByIqkou4wr/PH+VnmibHVacPkLL8NYbHiammSrV+Si7xp/D8geR8o4neydIzNKf53G2VJUbysNiP7YJ/4R1zx+LQLxcWRb8/hHIyO18an3rV8aQ9QZwMc+8TWsJ4gwttgtkBMS6t2HJomyTlbc2SGjXW3m7DCdKCMi2uq08vvWUsGzXNXZgu9ty3hvzeYgULf6zRQDBrYzVkRK0UWYznA+8MADfIfqDW94Q/p1umu10pOJAQMGDBgwsFmwlEwnyglqzm7E0MQQSoMlrG6YC8vNflnNXd2lWDFW0qZMnI/PWE8874qL8Nd7HkMEIbaN0YQ0pkZhhZVpFXrcizYmH6j6msvqgk/UbsjFQ1GMJPtw48c/xXf+b//Kt4CQGW7FCc8cpdN1UAW3LORjaLSbq7wVeIogCSlOLNLCnrUwY4fqQhQhhNQJeIS518dV8FQ/L+cUXAhHw/AVezgbauaYOHPmDI9jh+KGEhQmCSktFF+bcGkB6lRtTJBFzs1qSTZxuyjjivqHQMtQO/NRgnGM8LrJ2kdh5FAFpIRkmmghYoYsbkTc0HNExFD2kqhqtM0BXML2vxYcZ9WQlquUgmgSOefqt/fdg4suumhFRAy9hxT9n/7kZ/H0w8+gRN7Fdrl+tZPbSfSDTp9pFkOByTfSP+l2PY1oktOKNeoDUoxRRD4RbXY4kIsChBHiNVGfBDCaroxoVSkA3YQGXIQ2NPKzXuSiB23wIYfzs0yihaup5ebnoK6hlhVSC6lJtmJFLrqJLQlJJNQ42/KmCf10TD5H/UhjhJbXb36vBygL6eVveAkevOdRRKIh5Js0VVKacFUSGFEGkHBE8PLXv3jdq6/R2C4qK8TouQGUmKvSRBn1S7ErD6YsT1plRmNyWO5HUWnhnAqe1RKXC5GgS1GhbXYCdSvfTDFgYDtjRaTUpZdeive///1461vfiptuuonJqTe+8Y3p1++++25UVlauZTsNbDLQCcbhcGyqE40BA2sBY2wbWG6mE42Vy/e+GA+evg9PtT6Gyw+8aMm2h/W8qzvLimFzIBlJrVkezWrsHpsBzz58jDOcSGmkBXdrpAMpd2jqR+QBkQ5ERhBlk0pNVS4kVczzai+F/2RUy5F68hRkSUChMOPah8VMms1OB6mQvFIOzvacQfGBUigmGUk5MS0kmwK3Q5zeNISIGuKqZFNWPpUzpMgKlhISHJLuMDuQEGLYs3d6tTl9TNz1Hz/ncfz42b/CI+diLDYCWdJIMCICTGYT3HYP4mqUt9UvjXNFOCJZ8lGcro6m/TNxRhC1jRQt2cjnrKkxDHA7mdxCgkkbim0niyTZ3kRo2V0Umk59SqohylQisoja7PF64La44ZfHES0bxYUXXrgkImbmMZuUUde8/b24954/wyX5UIwqFAuVUBWVSQf6XCKNaB9TYDmRUERMUg6WWdBsY0ScEeFGKjoKXi9GxaS1sA4tOIEIwrxcOergxziryCi4nFRWRDxRL9FjvZpbEcpZKeUossEUK4BilRC2jvA+LSsrg9MrQKxNbAo1yVqDblLnFOVgaKCH+0//Kkyz7+kMlQq2seYULy0fbKWgz/7SN76Iz5g+i5OPNGFopAvJOI1RqpYowWq3Ijs/CwcuP4ovfPWWdd8ftP79R/bhif5n4Y+MIcucqz1P3+HxBPzJMfTHejhknCoDJk1xFIfy+aaJTpjNlXlI5w8iYWiZlR7jiVRaybo3K4G61W+mbAcY19kG5oKgrqA+89mzZ3HZZZdxZQx6+9e+9jVcd911/PerX/1q3H///bjlllvwyU9+ElsRVJWH7nQHAoFZdxwNGDBgwMDOAJ3TrnzV25ec6UTLPzn6EA5csJ8rr2XaHqhc+0omm2QL47u6i1TfI7QHW3DdbR+adlef2qTbKXpa+9akTTNxPj5jrUFZTuWOahwQLsZYchhxxJgCIrUM5SYRyHJEtjVquShoeUJ5BXlMIJk9prRVs2XiDJ459QzMcSuqhf3TPkdVFciSVm4+E6SAiuX48dpL3oBHmh9Af+swstQ8JnCKhAru0y40IwcFTAYRcaZZizQrFK2NqthRuyZMQ2jwHIZslnD4ooNs89E+W0VroAnX3/YRfO3Tt2OXWI+fP/hjVMsNXDFuqhIatImuGkOLdIoVPGRrK0IlzuJZVjQR0aRb2ii8m0LMSRnUilNsXytEKU7iSa6Y5xK83FZSmJEyjJgG6l96LqHGeLuI6KLPoTwrr88Hi8WMpJJkdUrYPoHv/ecdK8omJULqRRe/BG2nO1Cp1iOgjqIU1Uz+kBWqCy0Iwc+EG20LkVOk4JrAMOpwME38+dVRJiVp22hby1EL76RijfqK1F1EaNFYKUYlr5esjERqEOlGSiiy+3FGFanGrCbUX1CPuC2E0kP5uOmWT6WvLzejmmSt8aMf/Rgf/bvrUI0GJjEZmZs7ORMho2w7GvHtH9+Gd7zjHeversxjV/e5XgiKAFVUUVFXdt6PXXSs/9rHvsX2WjkgsHqLVJOUMWVJ2ZAtFEIVVAhmLay9bHcRorYgCvfnMPE9eHqMieeZNwYG4z0onbwxsNxspJl5imu57o2Evl09x4cWvZmylbbLgIGtzKusiJQijI6OsnWPKp6QvFoHhZ0TXvnKV6KwsBBbEQYptTi4Mk8wyP2znS+kDOw8GGN7+2K5dgKa4L779X+PWtu+JX9Ga+IM/uOe7/NnrMVkk9r8yY/dCP/J2KJ3dbMOOjjTY77PI2s9nbvz8vLWTYVwvi0bc33eUtowODiI55VfxsSFWdFCuZNqnAmfQXRz6HQt9sMmTE1WKG/IkW2HM8uOPQ170qH2wWgQ//3IL+BGFiqF+lmfJUsSi6UyiSmqLpfMCeEVz3slk07/795voVKq5/wqUhuRZU9RZXTjHJM79BwRHESMkeEsjAkmsEwOAXs8B2ESTBzYfeR5hzEUHGAVlj/oh81twa7dVWg92w6zbEFgNIhacW6SlUib9mQj9wVZ7ohgOotj2IsLtGDujP4lEoZIJbL2teI0spHH6ikinBzwMPFAE2pSGlFmE9nyqF9Vi4QG9wUYT40wAUH7iJYjdYrT5UJhbgFqLqvAV7755WVZ9eiY7fF48O63XYO//uYJWBMOJpLa1UZUCw3p5dpwZlIpZWHCrAp7cAZPszqO1G/FQkWaeKLnKeSd+pz2kQ/ZvB9ITUVkYwea2MJYiTq2ZJLairaJ1GMpHkExWExWeJ1e2LMteMlrX4y3v+fqTUnSrjeefvppvO6Fb0QqJjFZR/1NQfqT2edsGyWFFCkVLQ4z/ufh36SVcucLG20304/1EyeiUGQVTd1n0D3SiQMlRxDtTXHum9vhZjLP4iVSfC+/74njj8KvjuCVh183b7uXcn6Yrz2Up5i/YEW95a97M2Ar3kzZLjCus3cWgkvkVVZk3yPQRe1b3vKWWc+/613vWukqDWyxAwoF3tNFoHFAMbCdYIzt7QW96tZKbA2ryXRaK+vCWlvkllpmfTXtXW/Lxqx9SpMJVeKJGlvHQql09tF8+zk/P5/zjijLiAgXAqlkiJBxqz604bRWMU8Np6vnUc7Ngf17+eIqc10eh4f3u6RK09UfkzCZzZPEFAVbT4pCBEARZCSlFAYTvfibN78av/7Ff7Eyaxi9acseEUNBTKAbzUx0aFlHcVb6EClVZa3lbRdUwOK04OHG+5HyK2yLK8wqZ/KMPvNE8DTsEVIHqcRpzQlSYdF/pUo1q1WIKNKqyEla7pI6WXFvskJeNwWVI8SkzAC6mNCrxj7Ys6zoi3ZBEWVYbVYEYhMQrCr21O/B4NAQRuReHNxzAQpytcp7siKl+2ElVk/9mH3u3Dkce/gkYqkoyrF7snqephrjLhcE/v7T5JNeo36kLSJijRRpnWjGhDrCfUf7yAU3EyikfKKcI+rvKKiSIYXHE5GmMhHXwYq2CeQJRSi2lHOFRne2G6UVJYjaAig+kJeuFLhTcfcPf4E3X/o2/M+T/4lIOIhmHIcpnSNGY4xUaxa43C78zcV/i7v/4xfnnZTaaLtZ5rGeFDzVxTVA1Izdu+rRHyW7rYS4EucKqnv2at9rfyAAW8wFqxrljLrirNI51003NNqPtzAJs9R8rKXkKa503ZsBWyH/arvCuM42sKak1GLYu3cvmpqa1mv1BgwYMGDAwLKsB5k2PMppuv26Oxa0HmyWSj2rqYi0fffpMFei2m09CEmW8EjTA0gFVC2jKMvNkzZSMsXaorj9+jvZMpW5n8niJospkj9NI5J0NROZuqh6mi4mJxIjLKTmDF+mfnf6HFD9U6HYcxFTbOWTFUhKCopFQsoeB2pjvP8oV+ieX/wvE09kI/RjFP3o4P3MZBEEtpplIQ95KOZWko2ufu8etA2ew4h/CGpcQUGyDCW+UpSWlzCh9vCZ+xCNxDARGUO9UsnV4Yi0cVicc26HHvptFaywmew8EaZ8KC2anIgYeVL1BZShBhEEmJCidkc55aodlZ5K1NXvgtPjQMmuYrzz2rfz+KRKYVQo5/jx4zyOW1pPrek4vus/7gbiIgRF5Gp+eih0JojoI/UZkUlky6OQeGoD7bMatQFdOMdWQ1KB5aFkknTbwwooIqdIA8VUimCCaBZRmleCI9UXojfSjbxqHxLBFMyilT/XV2vFB97zkR3z3ZwPtB+IPN7tPIC3v/A9ONN3AifankMiSn1J3y0RLqcNh2ouwL7SQ6zibG49mRHCv3OQeaz/wLs+DK9QyJZXUkHaXDbUlFex3VXvlb6ePthFB1tpz/Y0zktKEeh4Sd+7pRJHS8lTXOm6Nxs2mpA0YMDAKkmplpYWnDx5EtFodE5pvAEDBgwYMLARoAkNkRdkPZjrTi+RTLusuznslJabz3qwWSr1GHd1M/dpIr1P6TkipBwhH4qsVFEOSAYTaG5qZnuLw+qc3M+D0/YzvS+/IB+jvYMoxa5pn0MkkE5m6P1L9iKrzTbvRLmyqgLDHWMY8fehxDR9fToEQYRIwh2LgoL6LNz8/a9wFTDC2NgYEyUlqGTlkcBkTYpzjfJQCB/yJskpjSAjukWcnJrGkhGoNhmuhA9eSxbb8J5sewTmhA35YimKBCv8gp8tfrlKEUbVARRLlVxhbybyxCKMq8NsqSOiiYLKKbCbCDHqE7Li6Z9Lm0JGPbIXErE0jmEUVefj0dMPpQOSM/tKn/StxzimdfWc6+d2079MZVQmUUikpV7lkOx9GtGkqdgon6tK3cPbS8HtREARaUX97ha8KPVUwGlzIqgEcMFFh2AxW/kzyL50+MJ9PLYIO/G7uRCoP2g/EKhP8jwFKM0tR9gaSQftuz0ufl7vMyIK6X07kSigPiAis7K0CnXVB+EtdSLXWchqyEzQw3gkAZfogRUmRCPRBYk8OufRDY2lkH1pInGJeYrLWbcBAwYMrBkplUql8M53vhO//OUvV/J2A9sAdNKhqovGycfAdoMxtrcH5rIesHJCUfhOvL5/F7MebMZKPSu9q7uZx/ZSCAptnw5P26dkWVGCAnwWjZAiWM02RIMRBAMBttoRCtxFaD/enN7P9FlW1Y4JIYCAOg6fMPV+4lwyyQz6LQspthfR+NGDxDMVcgePHgAuAn77o99jIjGCbJHKuWdsh6oycUOV9sQcGXuvqJ823qgSkUaECZxGpKUx2VGDBrbJJZBg9Q4ploiQomX7yTLXFEeprwpjpkHkK2WwCDY0DR+DN5ULnzUHFo+Vs6koG4usqKT+GleHEJQnOCOJFFyZcAs+jJoGYFGsCIhjcFm8iKSCbHFzw8vV5YhE0MkEVlXBxva2lDWOmpqDPDaXMsbW0uJKCiw9VJxIJh1kv6MqgVT9Tl+2Ut3Nii6qAKhnQNF2mVUr022UI1Uh1AIq2TZl9AitkIQU8m1aQLfH44bVYpvXOrsTiZSFoNugdUUjfV/zxFIUm6fUqclIAk2NTWj2NnIlU90GvaOJPLbMAsmQZs9dzIrNNmZFgtmk2ZHnwlLJvkwicalYDyJxp96A2e7YzNciBrYYKfXVr34V//M//8MV9+rr6/Hxj38c3/rWt/i1jo4OfOc738EHPvCBtW6rgU0ELt/s8Wx0MwwYWHMYY3t7gKwHRbZyrrIWCoXQ19OPeCQ+WfJJhd1lZ4sTkRYLWQ/WOtNpI7HZxvZc2VAzc6AI+qREs5No5IIOCvTOM822rNhFO3p7+tKkFCFzPxOJEU/EcCT3EhwbewJBIqaQQ0YuJlqo6toQepGrFkIWJPgs2QjLgTkD4lkh994PYd8+LRD/D7/8E6LBEKuSdIWOYAIkcwIxrx+XvuEifGHGWCFSijKriLwiAohUOjGQCl1lu14YfnTiLGcgkRKI7H1kLytxlkOKyhgOjsCNfAwLQ7DIdmSZ8qBICiKhMOf0UH6Vy+xBRAqhSCnDgNqDqBJCgVICq2ifIs3MEnLsuehKnkOerwDqmIJd5np0SGcRgZdtQqSa4m0ShMmA6l4krFG86rK/ga1OOe/fAfq8nJwcrppGipshv4KEEmcLH1XMYxJOnUhXz/Mhly18ZEssQzVacQbD6OMqfVSRkFtPajoiUgQZ5ZZqCFkyxuwDGA2MoKZoF5oTJ7eUdXYjJ/f0eSXVRXjwd/fBE8mBz5xBAE/CKtpQIlbBHxzDg6fvw/Nfc+Gm79N1J/Im1ZqJABU3mI2ZxyJa3iQuPK1bKtm3mjzFjcyBNLA1sNmuRQxsYVLqZz/7GX7xi1/gNa95DT/+9Kc/PS3g/CUveQn+9V//de1aaWDTgU4aExMTyM7ONk4OBrYVjLG9tUH7j0pr3/8/D6AkXo1wOAJREmE3O+BwOLn0PBFTSkRGe2Mn7F4bh0G3LmA92C6ZTptlbOuVd774uVvRl5ENpSPaGsGnr70FAWkMpYXlMIsWDvNubmrBFbteAbtVUwnQNpBlpdg0eyJElaoikQhbXPQtJStfc5u2nynfyGK3QIpLcNvdSMZTGFb7tffyvpUQQZBVQF4xS1MFmcRZSqlMhRy15xvf+Rre9u6rcPtXvoXjT5xEMiKxbc7qNOPQ8w/gH2/4zLyTKsEiIpCcYEKMLGOkPhpCN/+mMHZqF5FVRB95kIVsIR9WyUmyLm4nWdfGUkMoUXdxf+kB60TMmk1mSHIKbrMXKSWJArkMcTGCDoWILoGrxFHVM5/Xi7riOjz/8AX4v+96C659x/sw2NmNWvN+TCgj6FTOcp/y+KeAdVHEwdpDOFh3GJ3h1nWzry5lXNOk1RpwYnh4GEOxHlSQDZKUUdiNLrUF0cnweCIKSS1FCVhUBW63cBDtQiNXfiNCUFOBKbxt2d5sJvRqdu9CwhSF74Adn//yzUtWg20kNtPk/uilF+Chux5HmX02IZWJLHMuxgJDOHrZ1swmWiuk8wzbo8gryUFkND5ZISFjGSLfXTY+l5E60OlyLrg/l5N5uFF5iqvNgTSwNbBZrkUMbANSivKidEKKoAeB6rjiiivw7ne/e/WtM7BpoV/UG/5xA9sNxtjeutAvaLue64MpakUiloRddjKpAVlFNByFySzC5XEzaeEU3UiG4mhubIalbmHrwXbIdNrIsZ05Qe5t7UfT2Sb4wgUo8BUhUZ5ioolaRBafp849plny1FIoYRtq9u1lQuVsqBWnn25kK5XH5eaKXbFwHCmnNEk2zoSgkUgZigLdYkL7rrC0AKdPPIMyuRoeq6aioeUlNQWzYAF5ZjqkZiZx4moMPpcvrU5YTCFXkF+Ahr0NUGVNwVCxuwxvf8/Vs4gAvV9++N0fwyJZmQijbKYRDHB1OLLsVaIQCUQnrWYW+DGGGlSwvU+WZN52Iki1YG8FVkHLviJCSjSZEIvFmfgbCw+iSKiARbTCLYgozS5FWC7CBRcfYYsfqSyobe3BFrzj79/GbT3efAzXvP296H5oCEWpYhShhJe1OCyorKzg4Hc9V+l82VfnG9dXv/tK3Hb6X7iy4rneFrgVH3KEAi0rCvUIqX627VHmFpF+1J82swNV+btQnzqAzsg57rN8UzG8Th/3a1JOAE5gTBhE2cHCLTMZ3myT++ceO4ZSXwWS0TispvntXUmZ7KgVePax5/C2t12NnQwiDqlIQ5Fdq1I5F0rLS9He2MFVIxvKG9Y08/B85ymuVQ6kgc0P4zrbwJqRUk7n9KotdBHv9/vTVWnoZDg0NLSSVRswYMCAAQOruqCt9TXglHIaFC3D5AJBoOhoc9rS5Pa4mbSgCVI0GEYkGF7y5GwpWThblbg6HxXzvLE8eCN5KLZWZCjWrNhdvzsdWq5nRFE2lN8/gf7eAS6qUio4WS0UjyaR487lanZpstHtnhbjRNKCmRYX3WJC+6SgPB/9x0c4qDsgj2NUGWQCSbcR0u9coRCKIKFbbUXI6kVb0jOvQm7mdu6xHUp/LikeZlYBpOU/Q+Xfnx1ErqWQbXnZyEcbzsADHwdxkwKqB638Gqm1KFuKwsftcLHlLhQIwWa3shIqIcW5zQRW+/ANQ5XHfJY7B4OWXgRTZGPL4spxvJQg8nJ6Ds1Mcon677v/8a9amfpjQyi0lcJlm8oC2Uz2VWpz+ZEiOAUXk3PnepqZiCoiAm/SykcKs5gSxqDQg5qGXbj0iksx3DiBYls5LjAdwUhoEGd7m9AR6oeUTMHiMeFFr7oiXUFwK3yXN9vknkOz2wdw4MBBvgFAx1uqGEc3BnQoioy4EptUrjagtfX0jp+wEilcejgfgeAEVUeYcxmyJyccESTUCIp8JfOuayWk8fnOU5wrB3IuLJYDacCAgR1EShUXF+Ouu+7C1VdrdzGqqqpwyy234LbbbuPHN910Ey9jwIABAwYMnA/MvKCNSmGAglpnzGkoM4bUEJIkwWzWLvRJNTEWnliTCmCbxS6zmSvmPdH8SDoHSlOsubhi3pPHH4OcmB5abhPtOHOykavK2cx2pOQU269o/yWlBCxmCxRZgSCJiIR1slGb5FJuWGZvx5JRlNdMWUxINVVsL0NHpJkVdcVqBQeF60ipCYwKg4ibomhwH0bJFdn4/o+/OyfRONd2ZiKzCuCnb/gsXve3r8UHr/kITD1OuFQvOpV+RJUIZxsRMWWFFQ440Y9Ofj9Z+kg1RdX4iHCitvN2qgoS8SS8lhxMqMPpHBoCtZBIO8qzoke73QfQEj6FUNKPcluV3nImnhYil2baV1ta2zelfTUz/61K3YXqwjo80/YEzvifhEmxMClNRieLT8Q/f/MWLthD79G3q621FSanCSW7C1FWcwRvecebcfHFF8+ZI7aZsdkm93poNikW9+6rZ+tub3cf22szM/5qKnbB6/XyPtnJ1fd0UD/c/KXP4Vtf/zZOtbeg2FbGx5HM4xl9Zw+9fg+g7kb76ZY1zTw833mKWmZgxZKWXSgH0oABAzuIlHrlK1/JGVKPPPII7rzzTrz97W/H3//93+P73/8+H5ToRHPDDTesfWsNbBrQftYvHgwY2E4wxvbWROYFLREENpMDE1SiHrMvcmnCQ5Ymj0cjpcYwDI/bs6o785vNLrNZxvbMinnUx3PlQFHFvL7xXtQ6pltQFFlFKibB6rAxgTQWHkCRUAkr7AjHwlPPiZUa2ZiSYLaYEVfiqCnXiZfZFhNWsgWTGFB6kKsUwo0stutlkjqU0USZQ2HFz8vl+J3zKt/mqgyYCdIsBQIBDHeP4YHHjuPf/+UHyFdLUS4WwSSa0CY1cfC2DU7EEEYZDvLjOKKsmCKFDymlqIWZTCtXnFMV2FMuBCxjkJVUumogLzcZr0BNpmWrHXsQ9gUQsA6jN9wO0Qm0JM2Lkkub2b6aOa5nEmiHsg4yIZKQEiiuKsQ1H/g7HD16dFq7N+t2bZfJfWZoNvUrqXt8B3xzVkPVsdOr7+kgUu7DH/8Qzr76LO76wc85Ey9NCNdMfWcJ65F5eL7yFFlN1zYw7by5EIgco7bsdDXdVoVxnW1gzUipD37wgzh8+HDarvd3f/d3eOihh1g9RXjzm9+Mz3zmMytZtYEtAjqQzLRxGjCwHWCM7a2HmRe0VBbbbfYgbklodiVRywtKQxCgSEQ+qPBL4zB5VeR68lZ8Z36z2WU209ieWTGP9g0pVubqQ1VRISdVIGMuGo/HmRyi17MseRg09yIojcMr5nCAd46lYOo5IRuxOFVds7Ad0JtReW84PDjNYkL72h8IwJpywCvkMHmjzEwSZhWdwK8nUjEEQsF5x8hclQGntllBc1MzYoEEwpEQfMk8jKsjGmGqCJiQRyfDw6lfFLbsOeDiCnHZKGBCikCWNM3GB6SQ5Cp4HMDOWj+gBFXosJzFQLITZaidfFblXCma/Ov2qEsaLmXVSlugGR/+8rW45JJLlq2g2EwKlpnjeqUE2mbbru0yuZ8vNJsVURlFA9Y6NHs7gPrA5XIxkUo/C43n9SJXzwchravplgNDTbd1YVxnG5gLK9IkFxUVMfH00pe+lB/TSeXHP/4xxsfHWZb7y1/+0hhs2xx0gTs6Osq/DRjYTjDG9tbDzAtaCmymO/NkVwpYRjGodLF6JBP0uC/Vibg3iMv3vpiXX+mded0uk+8uWtQuQ2oauuu8E8a2PkHOtJzQviEL1ay2QYZZ0DK/pj0/+ZguYulnt+cgAuaRaftUf65f6UQwOQGzV8SevXtYT0QWl/ZgM7IO2qZZTGhfd3Z2IFvOZ+JGFVTOYyJiSP+hx/Q8vZ4jF6Czo2POMZK5nbS0rMj8o70TTEilgjIikTCkpMx5UEQoMamkKuhCCxNPHFxOChE4J/OjYsjD1JgikoleJxvfGKbndtJriqTisPdiSNYURjGACEIIq0HI9hRUl4yafbvYPkWEFOXAlB8pXDYhtRmx0LjWiaatvo3nY3K/niD78kC8e0nLkqLxbe+5al3bs1XH9lLG83qO+fVad6aabqkw1HRbF8Z1toE1U0rNB5LiGdg5oEwPAwa2I4yxvbUw84KW78K5HJAjEurdh+BPjWEg3sl5RLr1ACYVVzS8EEVZpYin4qu6M7/Z7DKbZWzzBHky+2j6vnEiGU3AKk5NKGg5nawixxntCvpN+qVMNYVJMKHec5j3aXP0BGKKnwkki9MM1SJhROlCSXUWOqTGWRaXmfs3EUlCUEQIKmmNTLPyxyi7iVpGxBEtFw/PPXEnNVcoEMZz3ccQ9IegykRFCRBNApdsF1IiUimyFsq8Tgtsk/lGMnpwjoPWKbyc3sN2PKboZG27YJ3WHmon6aiIlArBn1ZRcVu530Qc9D2Ps6P8yVFk2XNw8WUXbcpg8rWEccze3JP78x2avZ2wE8b2fGq6+WCo6bY+dsK4NrAOpNSFF16IZ555ZlkrfsUrXoF77713mc0xYMCAAQMGVn9BW1++D02NTSgxVyHbmsc/nGFChBTN2dwKirPLVl3OejPaZTbVBDkjo0lHet+IU5lP1BdUAS4lJdMV9Oh3Uk3A55iy4enLusweVBbtwov2v0yzBIpmfr45cRI//8NPudz0QhYTIpJE1YSkkoBT0MLR5wNRQUklyjZCep/D4ZhGvN10/adx8thJ1KmH4BQ8mm2OU8ZVBMcDMKlmPc+ZYWLFk4QIgqyK0ux3RFKlYIONCSYJyXSYeSZIJTWOYVSgFt1oRUQNsZrKmhHQLqsSPHYfRl39qLqiHi2hU5symNzAzpncn+/QbANbD6Smu+26f0G1deGA/tWesw0YMLCFSan+/v5lr/j06dMraY8BAwYMGNjk2IyBwDMvaKk8drO3Ef7gGLLMufycVtXJjKga5kpPa3FnfqtlYdC+04mV8zER1SbI0WkWvvS+CU3tG0KhtQTjyjDykMePqbqe6ACTVTMxIvejobwhTWZlTrApOHkpfUsEGPFHkppiTdJ8kJBiG18imeD+00F/f+aGz+Khex6DTXVAlQXOfaJ/WgdoRBQRUDbFoSnBBIHzoGiZMQyiDDXoRRtX24sjxu3IQzEmMMokEtGoRFrp63OrPlZJkTWvErsRRgD9YgdkVeag9gnFC5fbhZLcArzgsgvxlW9+md+62b6vBnbe5P58hWYb2Jow1HQGDOxsLImUGhwcnDOM0MDOBV00ZGdnGxcPBrYdjLE9N2gCTtlJZFUjZRARMWQTIdKBJkF0QbmRfTbzgpbaQllRjzQ9gL5ACPmmYraLJeU4hz1b7Ba0B1tWfWd+s9pl5tt3o33jSMUlVjCdj32nTZDvmDZBnrZvgkHkm0p439hNLlhzJzAeG4FddHJYeUNJAzrPdsEpTqmZ/NIYTF6N3FrpBJv6XxYk2Ex2JOUEZDUFC+yTlj0NiqrArw5jHKNMCFFm07vf+F6U1pbg6ndfyWqsEw+dgTwmIE8hQm0QReKUjZOC24mUonwozqfiByqTUfkohh+jrHCi71IKCf5s3d4XhJ/JqCgicMEzuULNppdWSSGIXBShxrIPKTkJS76IhgN7MZjonTWut3MYsHHM3jqT+8zQbMqToRxaiv4gInm7YC1v2uyksW2o6XYOdtK4NrB0CGrmbb95oJ8sKOB8KRfSbGfo60MqlcJWBJ0kqWQtlW82crIMGDCw00EX2HShSGHexXNcKA7Ge1A6eaG4kcGjejt7jg+lL2jpfDQY6MfpzhPwh/1weRzYtXsXKneXc5juWtyZ//gHr4fY5lqyXUatieIbd3wN53ffDXOeVaZiiULAicAoPZS/bvuO+v+TH7sR/pMJFMwIgtf3zdmeM5gITsDusaCqrgr9w73IN5egLr+B29t0pglSUGFVEymkiJC6fO+LYDaZp02wsw46llzZkNRihyqPwjHhQ7FQgZgSRVyOssOOyCBST/WjA064kYNCzrIiW5y90Iqw6kcsFUU4GYQYt6JKrYfdZEeH0owctZCrAPL2AYgoQSaSaD1RhBFWAwjDjwrsxjmcRC32I8a6pwAG0IliVLKKKgu5XH2P8qYqUDdLyUWqK8qUitgCkJQUJFHCniM12HdBw5qNawNbF3MdC+eb3G8UQb4Zb26sFNt1uzaqL3U1XU9r3zQ1nXFsM2Bg+/IqSyKl6ODw+c9/nnOlbrjhBrzvfe9b9CRWXFyMgYEBbEUYpNTioDtcIyMjyM/P31Z3uAxsfyx2F3Mzju2NtMvppELgZHzB6nLLJQXWqw8WuqC9+por0dDQsObVg5599lnNLuNd3C5D6qzrbvvQeQk6n9p3Cd53qgB4ip0IDUTJ6ZXGcHiQq9Ot176bmiAPo2QOYowmyESM3XTLp9Ln3PQ+bOuDIAtobmmGLCk4XHEhKvN2zRvcvdQJNvXNKy99LTqOdcOZ8rItjrKfREEjpBrxDFvrspDHiqRxDhYPIEvIQw7yYRIs6EUrTIoZtaKWJ6ZCRrfQBpviRJ5QBItgRUQJsULKqtowhB623hWgBMVCJdrUM0xCEQnWh3a24lWhnivn5aOECak2nOY2+JAL62TelKaXotypFDy5LsTtYez/mzrcfsc3Ns0x63xiMx6zN8M5YLNN7s/nzY3zec5cz+3aCWN7q0UFGFg9dvq43mkIriUppeP48eNMTj311FP4p3/6J7z//e+f9wB7zTXX4Ac/+AG2IgxSamkHlOHhYRQUFBgHFAPb6i7mZhnbm+XO60YSLqvtg/N1QTulBootapdZT+Ju7n13B3LUIvT19CERS6Jifwm6T/fD5rCitLyUz3XUkvZg87qSZdMmyG0ZE+SahSfI+j60Wq18DbKWE+yPvf86/M9P/oBoJIIs5DMRROs9hkdRiFKUoIrVSmZYEUUI+SiFCIGDxiVIiCMKD3yoEuozPltFRAxhVBnknCfKhAqrQV6OrHZk3ZNFCUVqBcbUQZSimgkmIqQ60YzdOAQb7OhCC5NS2cjHALq5Cp8X2ZyJptUkVJBEHCWHCrDvRbvxhQ1WKW4kNssxe60x6/gH04pttxs9uT8fNzc24py53tu1Xce2gZ0NY1zvLATXg5TSQReWt9xyC5588klcd911TE45nVN3Prc6DFJqcRgHFANbBcu9i7kZxvZmssttlDVtM/XBVrXLfPQfPo62Pw5AiQiwi3aYzGaU7MtH/5kRyJKEuEL5Wlbs2bsHSSl+3myFq50gr9UE+8c//gk+/+5bUarUIoYw2/UCGIcbXtTiIPrRDhd8TAZQ5hORQHa4uAIekUOkpiJbXrXQkF4nh+mbRQiCyO0kYups6jg88KJEqALMKvrNHQgm/LApLjjgZNUULXcCj+EQnq9lT0FAFEGMYZitelSZj4LQqS12OJjIoqyr+576A1dI3skqgs1wzN5uttutdnNjo84X671d23FsGzBgjOudheASeZUVjQS6I/nf//3f+N3vfodHHnkEu3btwle+8hVEIpHVtNmAAQMG1hQ0KaQLVbqLSReNM4kVerzLu5sVLrTcCjj6bd1mzgdsG1gSIaW3jVQsq23TUvtg4kQUn7ruJr7A2WjolaWuv+3DTO40J06iNXGGf9NjmozQ68uZEOmV8lbSn9QnD/7xrxAjFjjNLoji9GIl9Jiep6ym5qZm2K1OVjCdj+8AESh68PZKtk9//2qIGFmW8c0vfwt5CinbFAyih1VSLnhhhZ1JKmoVWfUoA4ryoDLVVKSUIr0SIaUmJw112j6TZe15rgwomrHXchijGMKoOgjRbEKD5wLs8R6EapHYtjegdrFBUIGEJBJMPNE/D7JRhT3Yhb2owQEcwCXYh4vY4leCXXwBt2/fvh1NSG1HTB3/EpPHv+k3fenxLg+dAxKb5ry1GEi9RGTRUkAkHCkit8I5cz23y4ABAwZ2EpZUfW8xckrPnPr617+Oj3/847jxxhvXroUGNiXoIjg3N9e4GDawqUFSfrpzuthdTLJctR9v4WMZHdc2cmyvpM3rZbmiu89kgVgOaDJN71tNta+F+iAzHDsaiSFxIo7G516HvUfqNzxQNrOy1ErVPGtl2XniiSeQCsqwZpBgVA1uqGVMqwo3CavZhmgwgmAgAJNj9ftuM9tS6bNJ2fBvd/4A9/zyt0hFZOxFIc7iGNvoAhhDEkm2ypF9jkLIqf9JPVWAMg4f19qmQlBFtvVRHhTlRBWDJqbaa1RhLxMm0Yx68yH+HJNLhSqnYLPYUZ91EGaHGT2JNsRCIQhRka2BZBukvKgUkqyaIrpL/01to9DzYfTxZxOpd76V6httBdvu1yPa8W94CeeAIrQfb17Xc8Ba3tzYbdWy1xYDkUjNref4fUvZpxt1zlzv7dqOY9uAAYIxrg2sOSmlo6enB93d3RgbG8OnP/1pfOITnzDkeNscbFEwmYwDioFNjZXcxbzgjgs2dGyvqM3rNCFhO6OwPBUS5fys1h4xXx9IsoRHmh6AEhSQJ5aiWLRBMctQB2SIXhduv+6OTWPpy1QDrdSys9t6MP1arC2K26+/c8mWnV/99NewmKZXbCPIqdn7k6x9vT19MO9e/b5bjsWmzrIfsiIxaRNvi6/b/qNJIJF0H/uH6xHrkjAQ7kWJvAsD6EIHmjjribKbhiazm2KIMrlK1rxOtDD5k4/MrDABdHhwqE4e70FMwKV6uOoeE0jq9D6W1CSi5jB21Vbhzh9+h8d3d0sPzDR+IePFNS/AvqMN+Kf33sg5VSPohxc5kza9qWspUmYRaTaBEV6O2rGeBOJmzLjbCdcj2vGvfFOcA7bCzY2NOmeej5s2221sGzBAMMa1gbmwKubot7/9LY4ePYo3vvGNHEC6e/du/OhHPzIIqR3kB94MthkDBtbSeka2no0a2xtll5sPdMFAk07K5FgKaDkKnl7NhcZ8fUDPEyHlCPpQYq6CVdRIC8ruiYQjsJltS7JorMYSt5ksOzQ+59sOeq6/fRButxtJJZF+XhAFzpSi35mgPvQHJ1BaXbyuKiVqt/9EDA7FjSea/4rfP/lb3Pf0n/g3PbYrLrZkrqXFhiaAn/joJ/G+t3wQrt482GQHspV8uOBiqxwFhuehiMklsuSRConyo0gFFUGIw8bN/Kx12nqJfCIyywE3LLCgB63oVzvZyqdDURWEFD/6xE4kckL41vdv42um2+74On5178/xw3u+j1/88We47c6v453vfEfaEjiBUSae6HEm6DE9T6/TcqSmslhmE49rDepDCnOm7BzKlyNlSK1tH/+mx0Qm0uu03EZgO12PTB3/lqZ+c5xH2+1mvLmxkefM83HTZjuNbQMGdBjj2sCaKaWIjCK7HhFRdGDfu3cvK6SuvPJKg/U0YMDApsBq7mJuFDbKLrcQSAXBQa7WxYNcKcz7uvd8aF36gCx7pJDymXP4vONPjfHnkXqK5hfDT/bB5Xaivnwfeo4NTbNobGaVx3IsO5xXJMn4w6/+jJNPnUGWN3tOax/3IUzcF02NTSgRq+Zclz81ioF4LyQ5xaHnludkDrZfjz6h7et6rh99vX3TlG46kpEEt1X0qiiVy9bEYkMXvJQ51vF4HzzxHB47xyceR716FP3oYlJHo5vsbI+j8HLqNys0BZNuy6O8JyKBMlVLBDd8vAyRU4RBdGEEAzCpIqyKjb6cyM3OQX1JHWovq8TFF188r5KOFOf0GRbYUI1arsbXhw5uh15pkNpGIeuFKGMSTJ18X3V1NdYLM/N6ZoLzeqy7MXxygJc7X5Ultyv07+5mOges2c2NttiSC2Ys9ebGRp4z13O7DBgwYGCnwbwaMmr//v1MRr3lLW8xDrIGDBjYVNgo69l2azMRA2WHC3nSSZkcC5W8pupylMm1Hn1AGVJEZFCVspbwKVhSNhQLVbAIVta4+ExeJCNJJjYUl4Qffe8nuOD/XTDLMpaZ/0GTic1i+VvMspNpXawU6mEZNKM2r2Feax+RGUW+EjR7G+EPjSHLnJteF/Vhc+gELJIdxcIuTkKKW6K4qOAKxJdpE1wqfvrvd6GrqxueiEYOzQQp34g88wfH0NXVhZ/+21244M7lk1KZBOSp505jrDmAcCyMMtSgUT4Gi2pnMkpXQBEpRduvTJJS2cjFEOJIIM7jiggrmsSSbc6G6ZNYuu6pVOvQhXO8vmphHyxmCyRnEs97/lFIisxV0vSqiwtdJ7lcLv4cH3L5cz3I4h8iy0jNJUKcjFInxVSKl6NcKXrfemKuvB7qYyL8SBWvb9P5yLjbCdC/u1vpvLXWNzf6Y9348NuvXVL20kafM8/3TRsDBgwY2K4Ql2vTowuOAwcO4Fe/+hVOnjyJt771rXOeNF7xilesR3sNGDBgYNNaz7Zjm2ndNKHOOuhAW7B5VtvoMZW6ptcXmngv1TY3Vx/QeyjUnAgoIqSyUnkoEiv4McmkRDOdygSN2DBXwR3Jxv1/eICtmJulkuFqLDtp62LIhxJLFexmJ2LhGFJyil+bae0jUB/GUzFcvvfFiHuC6Et1pK1850InkSUVoEAo10xrphTyCnKZ8liPyl60jtPHzkCMmGcQUupk/tLUZxB5JkTMOHXs9LI/m616H7sRX/3Hb2Hg6TG0nm6DLeRBKpFCKB4EUhRObsE4hph8or+1CnqkgSJ9iggbXEz62GDjvtHDxZOI8/OTreZ/BFEwoRK74Ra86BFa0SE2we8dRIfSDNTGllx1MZUi1ZYZHviYEIsjNqnOEpis0sLOFX6eXqflaHl633pCz+thZZ3fjzOnGvHck8dw/OmT/Jse0/P0ulFdbPWYOv5RZtjioOXKaza/+iZ9cyM8MOfrNH4G/H34/bO/QWPXKXzr5jtx5avezspNKk4w37Fgo8+Zi23XWt+0MWDAgIEdTUq94Q1vYHWUXm2P/n7zm9+84HtOnz69Vm00sAlBd0gLCgqM/DADmxp0F3Mg3r2kZeku5tvec9WGj+2VtHm9QRNqmlhff9uHodZE0Zw4idbEGf5Nj+ebeOvVzmhiQROMd7/+75c00ZjZBxyGDRNb9kgh5RGzp16DDIdjuoKFiA1LyIEf//gnrPLId2v2qvlAKg+yztFNl81o2dGti15TNiaSI2gMHsO5QCPue/qP+P2T9+CBU/fyhC7fVZjeDq0Pe2A2mfHCfS9DQ0MDRu29uPfZ3yGZkGESzEiZ4vC43XA6HCivKJtV2Wut+oS2b7B3CHkiKe1UJFJxjIVGMDwxhFG/9pse0/P0er5YjMG+oSVbaWkcPfXUUzhQdwj/+5378MSjTzBpooZF2CUnk0p+jKAApUws0ZixsOpJ5X6nbCmNfLJBQhIOOOFDPoeJ0/Jkz4sgyNXw4mosHWSuV8UjsshucqDEVoELL7oQd/7iW5wV9Y07vrZkG6TD4eC20Ge44GGCLIowf24UocnfYX6eXqfliK6i9603WUoVGpvOnEV7YyeEiAku0QuX6OHf9Jiep9dpufXMuJsPG33MXmvo393NdA5Yz5sbpAK9/+Sf8NzJZ/mmwqv3vwl1y8gs28hz5lrdtNkpY9uAAYIxrg2syr6nS+Lf9KY3LWnZzX7XxsDqwNkmssz72djXBjYrVmI92+ixfb7tcksF9QW1jT4vFovxBMHn8817UbEa29zMPqDqbEQk0ISCLHuZQdImswizefapLE8sxHe/8T1cXvbyTV/FajHLDlkXs8UinA0dT1vuREFkyyIhGdXymMiqd7T2Yt6Or//LV3l8DJ8cZIKpOKuUfx5pfgAeUz5sJo3IS0oJ2L02eH2+desTq9WKVDwFi2jFWGiU/GdMCtmEqbGjSArC4RDC5hBy3HlIRpP8vrlA31EaX9RvyWQSN3z0E7j7hz+HL57PiqZiVMIJD+cuMdGjpphAsgl2KKrMf5MyioLDySI3jmEUoTxNPnmQw0QVUSv02AYHE1QueOGAVVMxMTGlqZeoipDPk4W4I4TKo8W45JJLln3syM7O5jGuE2QUtO6C9r0g2ku37pGVj7ZRC2mX+H3rBepjQRXR3NgMKaTAaXbPWkYUTXCKbiRDcV7OUnf+8402+pi91tCOf1Pf3fkwHB7cUuob/eYGEd10XGluPcd5UKebT6NQLsdFh/bD6/VO24dLySzb6HPmXNul58CRKosse/SZKxmb221sGzBAMMa1gbkgqEu4pVVYWMh3IZcKWiUFeg4NDWErIhgM8mQrEAjwCdLA/JUTDKbbwGaHTo70HB9Cib1imoWL7mIS0aFnvjA5sAnG9nLbvN7QFU+3f+VbOPHkKUhRLXTZ4jTh4MX78Y+f+DBbvPWLC1qe7myTbW4hlRJNEugO8lwTjZl98PjZhzE8MIpaYT9b9uiCnwgpl8ednrDrUBQZilNCY/gY3vL8ty35ooeUX6Rw2YiLJFKPkSpgpoWP+vJ3T/wGqajEljtWiakqVLMKj2c6SeCXxtiqV1SXj1/+8S4mbLQ+HEaJvRx2qwOt0TNQmhyQJYnDze1eK/bs3QPTPGO9OXkCv/jD6vqEbJvP330FskaLYJatMAvzV4yT1CTbCf15g3i85eE0uTFXWD2Ngc7+DvS19cEctyFfLWVrW5FQzst3oAnVQgPa1UYmkHYJ9RhQuzGBYdTjAjyHh1GMKq62RwHiFFzehRbkoACjGOQ8KQkJFKCMyaABdLFKKQeFXHGPukQwiXBlOdGbasehV9fj//3Hv67oO0ntzbXmo0rayyQYkVL0jyojTi1DhFSS1VwJxNBpbsJYcmRdKya+6rK/ganFPSchNRNRKQy5Low/PPY/5/U7tBmO2WuNqeOf9t3NPC6QZe98nwPWa3w9/vjjuOPG76Pat3gmEymOSJU7F0m+mc6ZmaT5ar8H23FsGzBgjOudheASeZUlKaVowFRWVi6rAet5986AAQMGNsNdzJ3QZrq4pgpmf/7NX+CM+lBjPsA2HYISlzF0fwAfeeJ6PP8NF+FLX/9nbvtc4chzYaFwZFrPrbd9CU8++SR+9dNfwzpuRqovAVmUOEPK5XBOKqRm90FciaGyvBwtTWa++CEly3pWZVqLSYgWmHvHrMBcsi6SmskqudK2RRoHLvvs/CmyLfYFQwgGA+ntyBxHZ881s+omrqRgc9lQU17FCilhnStVUb+4s1xQBhWYxfkJKYJZsPL20vL65DFTdVdkK0eNuYGvS8jWON56HK54NmRBQgBjKIVWiY72AxFXKTXJCqh+dPDzpIiiv0kBRURTAhHkopir6EUQ4mp7A+jm4PIYwqyQoh96TAqsOMLoRSsPO5vVBqfHAb9NwIGX1+Pff/pvK77Apm10eJ0Ijfs5xJyUc/S5dNtQtwnSfqIcLGrLCPrh9DnXVZVEfegPjiMfS7s5R+qzsfDEpjqWblXMOge0ZZwDajbneWu5oLb/58/+C8WOiiUtv5ByczOdM2dW1jRgwIABA4tjSaQUVcJZLs6ePbvs9xgwYMDAelrP6Gct72Ju9zbT537mhs/ioXseRVG8Cj5rzizrDj3niDtx4jdn8RnT5/CV229NhyOvZKIxlyKGqisdvGA/BnsGYU/ZYDPPf8GflEn9Y0O2L5vtWcshCZZTlWlWO2FiIoFCd4lgWmqW0GKWHbIuBuMB7BFqp1sWLXOfvvNNxWjrO5nejsxxJEkSrv/AJ+B2FUBQz1+lKmpDSknAafJqVdsy1D8zwdtnMiGhJvh91M+fvuGz6HlkGMlxGU0RuragflXRGT+HUDKE3TjICigimTj8fhKkaCKyqRBl6EIzYmoEDsGFGnUf+tHF1fbscGMCI6xOoup6REhRwHkYE4giwn+34TSvKxv5yMsqQHVWDUrLSyFaRYykBlB+pJAVGKu540t9HA1EIcKKMALwIBsUy67HqmtqQPq/gBAmWBEW8UfXVPUx8zhDjz0eL8YHh1GCKdvsfBjDMDxujxHhsI3OAesJOhZ0n+tFve3QkpYn9RORTfONr+3eX5sRRj8bMGDgvJJS8+U6GNjZME5ABrYilnIXc7ON7Y2680qky8lHGmGLuWZUTZsOq8kOKSah+a9t/B4iaeos+zkzILNs/GITDd1uNmcOVWcMZsGM8dQIvGoWHCYnk2KZlj1SSBEhtadhDxJSAtlFXsRT8VlV92aCPjscD6OsrmRJ+35KuTPMpNpu68GpdrZFcfv1d6L0UP6yrCJ6YC6tt+148zTLDoWSm1QTZFXSLIvu+a1URLSQQmAu0L7IK86BvycKh2XuSn/rUdlLJzcizjBscTtbB7mNmevNsGTG7WG4XR4888wz+Pqt38Cx351BkVIBq2CDyWzm74LZbEIyloKoUMU8B5NHpCLKhJYXNYQQ/Fwhbxi9KFIr4UUOk1UUgE42OLLuEdlDzxGxSG0jIogUS/QarXsIvegSm7HrwhfBKgJD6GYFxvXv+fCaKDBogm5VbKjFfrSjCUGQYiqH96eulKJ2BDDOCipa7ozy9LKUgHNhPhKYyNW/fdubkOPJQ9w7AH9wjJV4k+/KIAaEtHXU5FWR68k775lSm/GYvdPVN/ORFZnjrbulF03HziIqKrC77CgtL2GLx0L7cqnKza3WX1tpbC90zFjJDRkDOxPGGDGwokypnQYjU8qAAQMGtJyjx/7nKRTGK2EVFyZXmBSyReC9yIyzz7SiOF6VVrQsNuGgSn4/+M33cPONn18wh4oqzJ04eRyF7lJYLVbEI/Fpn1FWUZoOyqX8kVf//Uvx++/fN6eNkE59ZP8629OIaCTKJFZFfSn2Htmz4IX1VF5WYpG8rEFkHdQsJcu5+KL16xaUnrY+kirh2NMnUJasQ5Yze06FVColcW4ThYUn1Bj6Ha141f99Bd517TtmbQdlg7FNcBFrJaE92DxvhstyQG37u9e9F32tA7AHPZzdFItp7dVBlkyqokgqoagngIA0jpKcMjzX+Cx2y4dY4cQQNHJNMAMdqRbEpQjqhQvQoTYxqcWZYxmgYPNunGPiiqrXZaMAdsEBSSUF1CnsxiEMo58tcURAEbFFiistCD3FRBWRQAUowXhhHxr7TzJ5utbKgMHBQRwtuQR71CPowFnOjqJAc6q2R8QUEVIyFM65oqypXajHWeEYnut/AkVFC1eXnA8zixHMyuGJdeNM1ym8Yu/r8HjzQ4iNJeFIuSHKpjRRpphkxCxhOHKtuHzvi9EmNW5YLpuBzU1W7Nu3D5/75M3p8Wa32PH7J3+LGnHfrJsK82bcbWDun4HFjxmD8Z55C5gYMGBgZyK4lplSBgzMhK5qIBWdcXFgYDvBGNtT/dDb2o9kPLUoIcXLC0DrWBMcDzihmgCXeerEo0RkLhs/34SDyIQzZ84smkNV5CtBc04j/BN+XHDwCJ/c2A42Q42lV1m66qqrcPLpU7OqMlEJ8keaHoQSFJBnKkWuCpizRezN24v4IkonLS9reAl5WUVoP948Z17WQphpQWFC5w3vhdRqgRSUp5226ZZSJByGLCmT6h4FJosJbqsXlk7vrAqH1Fe1tbX83Pms7EWfrYoqkxaPND2ASCCMfFcxrKJVy0wSgIScQL/cBTglRGNRTIyEEO/vgl1xwiV4iXfU+UeosgJZViCpKbZoEig3qhdtnCGVaeETBRMq1T1MdsURQTdakEUKKFMRBFngSnpkTSPFVB86mPwRJ/uSfhNRRT9h+FFYmc9jbT0UGHl5edz2TpzlbbKzndCWtu7pv6luIMWc03K0PL1vJaCxRZNLIoHnGss02aR8s7OpJpw+cwqqSeWA9VF1UFO0Teb1kILPBtqPFsRSMZTXrV5Zt5JtMY7ZG4vFqq3e9vF/QUfwHPb5Lpg23pwuB5KRBJ9jMqs47t1XP2tfEulB6sSdtI8309jWjxn+E3FUumpn2ZWXUinRgIHNNq4NbB4YpJSBFR9QJiYmuHKCcUAxsJ1gjO2pSQapdOazgs3ss5bwKeRIRch2ZyPgGEEypk005iobnznh0Ccad/3g5yiwli6YR0PPE7Hx4On78FTrY7hs/wthmwxdn6vKEl00T7fEaXfniZByhHzwmHzTKtDRp5JlTruwHpzzwlrLyyrXtnvSdsWk2BKDeZeTwUGvOxwOlNYWQ4UT3a3diAYjsIt27lMipBSJuBqRyRVSD7mdbiRdLjhtTuyy7cbQiX5c+3fvQ252Hvo7Blmx1t3Vg56xbhQESlCX3wDnApW91uI7QOsgtUSqLYUX7ntZWqFG7Sd75VhkGCk5BUE1ITmRgBMuVGEPq5RIwTTVeVNEk0bPiGy3S6hxturRWCWbXdlk2Hnm59PrpNAi8slUqGJMGIQ0ksKENAwrbEz0IJ3dpAvIVX6enhvHCBIjC4e0rwaU90UZVkSEaWooG7zInmXfC2KCqwWS6iuGCL9PC/xfHpZajOBw9YX401O/Q53zAOoc1YBDG8PU79RWfXz4Q2P4S+Mf8R+3fg/nG8Yxe2OxFILTEXUj1SlgPDuAwn3F6f1UX74PTY1NKBGr0lbwaDCcvrOeCTouUWD5TsJmGdvUjp/97C489KvHkZMqRA8G5lVBL1TAxICBzTSuDWwuGKSUAQMGDBiYBVYImTQV02Lwp8ZgSdngEbL4cX3FPpxtOpueaOiYOeGgC5PTI8eQ58nGMw8+i2ph36J2P5NoQkPFfjzYfC/+1HQPpKg2ObY4zTh4yQF8/IsfnmZZm1mV6Ylnn+SAaI8lF6pLnrcC3VxKJ2ov2VIKYpVob2lEPJLIsA/aOPya2zy5DiK4qGoWEVf8+SsMRdcr8+3dtxfBQAC9PX3wBwJM6BBBQ5lCHocbNosdfakONJQ3pBVhTV1nEDkWw4UN2ajL3w+fxQ2nPQcVRXVoGj2OxwfuR0lhGSyiZV0re2nb8C+svinOKkW+pxAPN96Psf4xWBQ78tUytslFEWLVEwV9j2BgkiSaDo24FJGrFjFpNIQeVAh1qFUP4DSehl11IEcoZNJKh1ZpLwpXnhMVe0px0cH9+OUP/xOJUBw9aOX8qEKUs31PVyWRfY9C0CmLikmh0USahFxraIo8+hRwoDrlXpFNj6i39Han7Xs2DKKHn1mpRWY5xQi8QjZMcTMw+VE0LMialTk8nIILLsGzorYY2NpYCsF5tucMSixViAcT0wgnVr96G6dlltlFB3q7++A74Julfl0L5aaBlang/vCre1GZqIfd7FxUBb1QpUQDBgwYmAsGKWXAgAEDBmaBCImy2hJ0N/UiGZ9SPc0FuoNdjEoIJjChRKRDi7dpRjgypk04XA0u3Hvyd7CqNuzJ3g+P0AaX6FnwQlez3T3Atrtq7MNFBy5kgkBWJCSlFIaGe/HLn/wK+/fvnzZZz7TEffwD10P1OeGyueZUN2Vi5oU1TaZam9oQjqqsVtLbO73NmuoqbVFUgH/6yA0YPD2+4lB0vTLfCFnufEU8oTtzqhFukxdm09RpXAub1iZ6RNxQXzmCPhRYKzA6MIbC/ML0sqSkOlp6KU/2fHvt+PyXb2Zb2nrdtdS2oRBDJwaQ68hnQqqnrxeqBJSmlU1UWc6PPBQxPaMTREk1wSHnmaDniSwZUftZUeVWs5Aj5GE/LkIbGhFWA5wfRVY+rX6dAjgV5O71IuewEx+/8WP46ffuhkPwwKG6YIYVg+jmJXXSkIgpN7LgQx7iQgTRZJDHQFaWRr6uJZhogwgPfExK6aHt0/aHSqHudn6ds7cQWlGlO51czbRYzYfm3kbUehowERmDPz4OKSlBkZW0eks0iTBbzfDmeHBJ3QtY8Xj06NHld4CBTYvF1J2LEZz0/mgkhmLRBjPM0wgnXf1Kx6q+QIirh9K5JhKJaPblVHzNlZtb0ea0UfG/U5a9GMwp2zRCaiEV9GKVEg0YMGBgJgxSysCKsRLLgAEDWwHG2J5StzQ+0YzRroFpqqdM+45OFpFiB1Zw2Ph8Ew39InYiOI7fnfgvFAhleN7hSyAKwqQiS6vqRUTTzAtdgk6yUCXAiBJMZ0mZTRaYRDPKzbswdmJk3jwLnoy3D2C3bYoYWgi60kmfEHzxs19CIpyC0zoZuj3r4tyFZDCB5iZq814OfWpsbkS2VDiPrWVhq+B8lfmI3IpHE3CZNFIsqSQwIvczIXX53hfx8hQKT+SdXjVRn+Qpqalw8bTV4kQLmpqa1vyutj6ZpdwIUorF4nE81v4Q4mMpDpen3CQn0TBCDjrVsyhCBSYwBDMRSZNjLA/FGMcwilA+Y+Vk4xNRiToMWLvQmWhESC1GqbkKe8UjCCoTGFUGuG9kQYLoAl535Wvx7ve/i9UWpHhKpVJwqWR9jMIBgbOliJzSDXyUoURKKXpdVAVIqRQ8nvVRA/n9fv4+5aN0WhXBuSaj9HoByjCKQX5fTs78lTHnAu0TUjotBp1MKNK/uxBZpZXZoszR6rA40NratiETUeOYvTEV1pZCcNJNA90GzrbjyWORPkaIWM+09UYjEbZVO+MCKndXrItyc6v0fX/bAPIK8jA6PIqS81zdjtrx+OOPo/vZQVR6qhe08s9lu1xqpUQDOxPGMdvATBgjwsCKwKXFVxiwasDAZsZWGtvLySdaCeji9+DlDbh/+GFMREd5pk53rYmE0oOOqb8kJQXFLMOX40lX1phrokGZQTJSCJn8aCg4iEOlmqKClpmIj6Iv3gvrpLLFZDbBbfek7R5RNZwmWahSEymyCP0TvWjqPoN4LJ6uUia1JHHwogO4+uqrp/ULT8aXkJGVCf3CmoLY+06MIMubhWQ0AYtAfT57eavZxrlPZLObSI7ALWUtGCi+1FD0TBvij7/3U7Q/cwZu1cfEjdPlZMseKaT07SW7TJ5YmrEGgRUu4z0BvhjM7Je1tFrMnMyqsorGlka4JR8OVBzB3+z7W3zvz9/hjCcCmeYUlcx1ChNCnFNEVAf9p4qcKTWOIQTVCVZGzQSRofu9R9EVbWViKyyMA0kRJsEM1aIgpzQLH/v0R/DOd76TbY46iJCivkshhWJUpK2nvA2T9j1SdZACkD6b7HLURnpf5nrWCtRvFlg5T2spoOUspCRbgYKCQ++F6eTkQmTCeHgUFskGr9cH2DXKTg+o12kpnUC21J3/iehWOmZvh9DyzAIKfBNhEYKTbhhMt4ELTApnfo/oeEQKW/qhdTbFjuOXf7p7Xayym73vP33DZ3Hs3tOI90pAUkAfxvmY1PvoKE79pQmHX7Ef//zVW9aluh31PVVovf0r38KJJ09hbGQUlXI9ek1DmFAnUOpKwcIVYGef/GbaLmmfGxX4DMwF45htYC4YpJSBFZ+4YrEYh/DulLtXBnYGNvvYXuod7LUgtujxF756CxLJT+A/f/Jf8CXyUCRUwiZOTjhJSZGKoFU9DdmaQt2eumnroL+JKCEQcUTEFNmpIqEo1FETxp1jONV/jMmmClMdggjAJ2g2EEVSEA6HuOpXT1cvRoS+NMkSk6Nweq34yYP/DkfCg1yhCB7Bw5Mct8MNJangOzd8nyvvZdrieDK+hIysTOgX1kTaOJM+WBIOdEycQ5GotVM0a9XYtAt1DWTto9yn1sRpXFJ5xZI+ZynEkG5DPPKvR9Df8TbUmPfyhG8uRZhulyECIRQPwh+ewMP3/xWeHA9C4yFYrGZU1VahtLR0zawWMyezdZb9eKjlPpREquERfeg/N4hj6jOwSY40+US2PFnVVHf0j/YPkVSkgiLCilRSFahDN84hqmp5U3p1PZqopZDEgNyNZFYE//ufv8XFF1/M319qC92xn29Sq1X90exymYQU9/OMCReRYWE1yBX46H3rARpjRIJlZkgtBFrOBMuKJn168DwRDJkl3WeCxlZUisCdyoXNQp+j94swi5DVlRKRYPi8T0Q3+zF7u4WWZ1ZYu/W2Ly1KcNI+yayyR9/chcgmsuxV7anYcYQU9f0nPnYjHvnJM3AlvHAJdPwywZ3jRHg8CiUpc3XYB37wOD6RuhG33/GNNR3vdMz81HU34c+/+QucUR+qTfuRUk4hW8wHFBWCJGLcPwan3QW3xz3rOJmpgqN9uNMqJRpYOoxjtoG5sLOO+AbW9IBC6oWN8rkbMLATxzZdNH7yYzdyYLTY5uI72LW2ffybHtMdbHqdK+ct4W7oxz94Pa581dvx7tf/Pf+mx/R85rbTJNxms+OFe1+OXQV1SJnjCKkTCKl+RExBeApdKCkshc1kx7nmKasbgRRVD525j6sr5UVLUWs6gHK1lif51pgD9z97L5QBM4rNlci3FiNlSbDtikCkhE1wwixbMDI0wnYvIiMGYz14LvgYHjn9IPKjFShVauBQ3Kyosch2hMNhRGNRZKcKMXFSI0n0NqUn48nokvqblqPgb+rPv/z+IfSfG0K2lA/FkkJEDbIaR5AERMNRhENhVo9w20UTBv39EC0iCvIWVkllWvl62vqWNO70vK+ULM15QacrXEhR1jfWg3AwAqfigVP2oqy8lH+boja0nerEo399DKmUtvxi42Y5k1mqctg33gM5CFa3sb3R7Eavvws2NsuRGWzS0jNZRY+2xQIbV5YjkJqKKsyFEUQl9sAFL/rQjjb1DDrVZv49bO9B8a58vPLNL2NCiifATieys7MXnNRqqjkivrT8qsztIJIscz/Q65RzRcuvpo8WAuXGEAGqt4X3K+3aGT/6/tZSsmR+30pABPZAvHvBZeizohKNaxUOx+LKJ+ofIj/P9yRjMx+zt2poef6i6s5i9B4fxvHjxyePqbEFl6cqe2Sn1VWuC40RUuO+7T1XYafhmWeewb0/foBv/jhFj1ZlVBCQW5nFv+kxPU+v03J0rl4r0HfnMzd8Fg/d8yiK4lUot9bALJqnLHuCgHyxBBPqKKSEjEiIjtFzfd80FdxO3YcGlgbjmG1gW5BSN998Mw4fPowXvehF6Z83velN6ddpgN9yyy18N/l5z3se3v72tyMQCGxomw0YMGBgtZg56Z+pcOA72N7d8J+MTSNiFiO2SM2yy1zPv+citmiS0nd8CDXFdbjg6BG88KVX4IqXvQBXvOxyXPHSF+DI0cM4VHsEIXEibbXT26tnQJWYq9KZUlElwndag7IfTtkDt5LFF7g0R9ntPoCAZRSDShdSqjbZpnwhIn7i8SROBJ5Ee+QcCtRyFKAcOUIBW/bI5iVLMmRZgk1wwCSZEY6EkefM54kTWd6mT8apctnioOWuvuZK3HT9p6GGBDjNLphMZuz2HETAPKK1EykmpxQJiITDnGHUl+pEwD2MupraRcPUM7EcYmghUkGzy0jon+hjoo4IO2pjJkhhZ1McUEMinnzsSV5+NQoXmiBR9ohFsuP0yTN47sljePS5R2ALuhEKhTS7nCJDUMTJkGwlrVrjCRdE3ueUKzWKfv6bnq9ALdv3qMIebccucS9qhAaUiTUotpZjT/0e1F5eyYq+5SoEzYKFxyVfIKsTbP/rQBNX46Pf9Jiep9dpOTNZAtfpIprUdqT6SmBqci/M8U8HLZdEcsU2OT14noLu5wNbs2CC3zy6pPyPMQzD4/YYE40tjOVUZdTVnUshOEkxK3pVDKUGOHdwPuzkKnufv/ELyEoULFhUhECv03K0/FqBzvMnH2mELeZK5xDSdz/TdukVs5EQYggpfkgpBZIkzbEmFaPR4R27Dw0YMLDD7Hvf/OY3mYyaC7fffjt+/etf44knnmBZ4DXXXIN3vOMd+O1vf3ve22nAgAEDa5UJtZSy2+ng6uMtc+YTTVXSiSNHKUR7cwfikfikDEPlO9il5SWYOKERW5RhNHOSQu2cmamjl/WOB2LpTAnKicoM2iYk5TicXgfECDAQ7kGxUMWKKFmS+ALXbLag3n0I/tQYBuKdSEpJSGoSISkEOZxCoVCOLNXJVcfKhNqpNvE/E1RVQUpKwWK2QpQSCIXCKHZMt8XplewoXHyhrKfh8CAvR302cGqMt1nP0TEJJtR7Dk+2s4M/k8ixVDKBHF82Du45Ar89d9n2k+VkcKRJhZMDvM8zQfsopkRgkdysLpOIOlMTgCIgocYRUUJsvbTCzq+HQn7EFGFFVdxoXP703+/C//z6f5E1VoRuZYgnTdRHpDgiBR0m1WSyKDERJKqaTU+vrEdtyEEhB3dToPkYBjlg3KvmwAorq6So2lyf0M7WPu4rUwpFdfn43Pe+tKLgX1ZlmS2Qkyn0oA12uFCCXZzrpGdKEUlE9kEixcpRA4vFum4qICKXaD9RH1Dg+kI5PUTn0XKUiLVSUmpmeH6JvWIa0U3Kl95oB3xZXjhNDvhD47MqaWZCq/yoIteTZ4Qbb1EspyojQbf9Evkw37Eoc7ztqahHo+8Ej11r0jprvO30KnunnjyDenFplSvJDn3icU3VvBZ9Red5/0gAhWJl+jmtiIgZKTnJx2h6vMu8Bx3SWUTlEAqiJcjxTh0T4lIU47YhHDhUvSP3oQEDBnYgKTUfZFnGl7/8ZXzhC19gQopw/fXXY9++fTh16hQOHFjaidbA4qCTjZbJYZx0DGwvrPfYXk4mVCZptZI72DNJKfrcnucGkehVWdVEwaQuUQsmJygRGe2NnbB7bQjJAU0ltYRJSma1vQ7/EHYlqqYFbZNCJq7EeL17GvZg6HQPQgEtX0pXCMVicXg8Fl5XtjUPXks2mkMn4ZI8yLeWIiyFuRpaEUrRg3NcgUzLHtK9TVrOjqLKmkXE7EBfTx/27W9IV9Cjdc+ejJezdY5tW4rERNhgopcnR5//8s34+3f8A4KdcYTDEYzJo9xmPUeK2kk/eqU4EF9iU5DlzIavhqqUqYi1RXn9S7UKLnXcLUYqjIVGIcAGk0oWDDOTLibRxEShS/BAVmTW5SSh2THHm5amHpuZH9X5bB8aW84gOBxGqZDF4dvUD7JKFRlFyKqiEXlmM+SUjKQa52BxUtUQ8aNX1iOr3hiGEIIfldiNLpxDCgl+3iRYeBuKzBWQhBTiviBeeuUV+OLXvrBidRftPyJIu0bPIR/F3D9EQtGPpuTSiCnKtSILYSfOweF1rBvZwkSOyYGgPAY3vPAie858KRppQUwggDHYTXZ+n369s1xkhufT8YIIBr2AAeXB/NM1/4iv3vQNVJsa5qykma78qAwwIUXHgDap8bxnShnXI2uDpVZlzASNF7KQLkZw6oTTX758HxobG+ccbzutyl4mKF9HSWjW72lQgVgoMcspR1Y+Janl8pBdeTWg81dvaz+S8dQslRZdS4yFB1E0mfVIn1ttboBfGUOP2opxeUBTClOBEVsKn/jqdbj66qt25D40sHQYx2wD256UOnnyJEZGRnDhhRemn9u7dy9cLhfuu+8+g5RaQ9CBZLllqA0Y2OljeylVjUoO5eONV74Bv/rpr9OkFV20Nzc144qql3NWz2In8vmCq2kiEOqKQ4xaON9nJjj3R3RzJa1kl4Qffe8nS56k6NX2nh79K6SqIEaeHYZXzEdKSbACq6ZiF1fmo/bUldVjoP/BjNxkAYpENgG68tbKjLeETyFbLuQMjV7hHPLFMvQq7XwBTEobzcqkQiGLUcY2sg1MScHn8CIeifIaZ5am1ifjRLrd/uVv4viTpyDFtLBti8OMg5fsx+vf+jp85hOfwzN/OYYG81FUOKoxFh7hoHdIKit/TGYRLrdbU4/R6dQERCJBnoDRBIu247br7kC1dWF1G0F/z1qQCrT9SIkYxQAccCNHyOflVUXFUMuo1k8CVbZzYFwdwQgGYB42cxbIUtRduuJu7FgIT518ArYQZXq5WNWkgyshUjbT5D6VUpoiiVQ+lClF+y7BpFgCTtXNYeMVai1b50gJV4pdiCPKqgoi/Cw2C0SHipxyH/71u99M50etFPTe6gNV6PiLPqmSYVed3C86iPRMCQkOILepduw6OFXdcD2Q5cqGHFQwhF4mwrJRoJF8k2OdrKITGGZSikyZLtfKyKi5wvPpZy7lZmlNCVJtqVmVNEVoE1Gny5Wu/LhR4cbG9cjaYKlVGedSd9I+WIjgzCScFhpvOxXUD3MV4aA+Gj43Nud76FhK71stKcWWcVk7T85EliUXg5ZeBFMTbN8j0L7yilnI8WTj0IUHqUwqxqIjyD7kNAgpA0uCccw2sG1IqR/84AecLUUZFbW1tfjsZz+LmpoatLe38+uFhYXTBj497ujoWPCAnJnjoWei0AU6/ejroR86QWTmJSz2vP7+lT5PE4SZ617u8ytt+0LbRM9ToLDb7ebP3A7btJS2G9u0/bcpc2xrlq21a/tnP/k5BE8lUO3bM3Xnc/L6zWFzoNxcjXv/63f466+fxKX7r8Bum0ZaSXIKrdEOVjE5suzYvXc3TDp5MGM9OugCMx6Pp1ULXGb7RDPEiAt2y4xJALd5KkjZJjoQjYXRcrIVPp93dvXneT6TiCKfNwtfuu2LGO4aZ6k/Hx/0BSd/lWaXA1YFUiqpZUaJAgSVP5w/fyI+CkvKBrfZB8EEqLIKi9kGU4ryowQKRJpsv16efkoFpfc5VZdLyFq/00TLYrHw3/pydMz/5U9/BYxa8X/2vZ5tZtqxDIgGI/jAlR9BjlAEl9nDZF22LR/DyT6EpAl4TTkwKUSkKYhGI1yJSEcw6cfe/eU4dOgQPy47UoCRk0PId02el+boS7YKHing9+hjdjnfJ5rsXXDHBfxe2ud093xf0WHkykUIqmNICXGtap1oRVaxFxP9AbZkTIhDiAsxFKAUo2o//H4/XyjO930iNTL125kzZ5hYbTx3Bu5oNpJiEhZVU7nxJlGlJtoHgoUtaVRhL6j6mdihHLBRoR9V2MOKtzBC6FbOIRcFyBPJuFbPaikKNCcVjmgVkFXkwQtecTne9b538GRW75vMdq7kGJGTlYtRUxRW1c7KO1ZIKZNB4yIRjSaIcPA2uFUvcrNm981aHfeIMHVlueCIZWNEHmCV2KDaxcSYRbTw5F7PlTIrFhSYSpHImuC7zTOvU1ZzLNfvXuvPX/3uK/HNf7oTu2y7UZxVyj9ENHKYvl75cfLYQQrDj13zgWnfs/NxLF/smL2dzk/rvU2ltZNVGS2ThOcCx35SQJXXlabXR+uhzNfD3zmcJpx0FV/mvtLbro+3mc/vxP3k8XgAi8Lnej4WZRQ68BV54B8IsgJVf54zFy0K3+ghrGab6NxIfBQfY8QZO1zRsh5bo6cRT4WQIxRrCmfizwRSSiYxlOhD6eF8fP7Wm7f9fjK2aW22aaXH7M28TStt+07YJmXGurYNKVVRUcFlnomYog2mUPOjR4/yRXI0qlVUmikdp8f6a3Ph1ltvxec///lZz5Pqii7wCXRipc8lwoou+HWQCotOJhMTE9Oq4NCJgu5ejI+PTwsDpIpA1B5ad+YOzM3N5S/m8PDwtDYUFBTwRGBsbOpOiU600efR5+qgINK8vDxun06s6Sd9mmjQAYDKtepYzTbR8xQgT++ntm+HbdqO+8nYpuVvEx08aWzTOmj5tdomyrmTAwJq6mv4+dh4HMmIBE+hk6u00UTvdPcJlJqqIIdVeAtdcLldvCy9Zj1hhUv2oKAqCxEEUFZWxhPUQG+Y7WSeoqm7pdQXcptWzUzvA1YK0R1p0QFnlgPZ5VO2vUQogdEOP7wFLngKNYJFVfLQHDmFoqpCiCHAkzVFvMSDSSQCSbjy7DDbp04jE0N+lJeX8vG2uLIAOWYfPx8ZiUGKy/CWutLExWUvvAx9j49CjsmoPVzNeVAOt43VSo2PPYcSRzWqDpbAYrfCEVGRi2L0PNsCp9uOhpo9yEU+27pSsRR6zwzBk+dEbhVZnrQSHqSmCrcHIbpVHKzfz2NE3080nr7yha9yCPfhhvJZ26TICRxMHYEH2Xi65XFAAgrrclFsexn6Y50wySZEzslAWERJQz4cLgdUUUFAGUe0Z4JDt6nf6cbJBz/2Adz1o7tx6i8tKHNXIL88b6rfU3G2vlVdVIJ/+Mj70m1c6feJAsXpPbSv9x7Zg6y+YoT6Y/DW2iH74lAFBQW1brTf14TAcBBHGo7C68hixUsHzqYnipnfJ/rd29uLu3/0CyClTVK6+7rhsvjgH/djj+MwrHsVulnOxJKgmND9XD9bNS/cfRESiCMLeeiJxaGeVlGZV434rgnkIwu78FKMBUbwTMsTUIrjEEojrJ/yworkiBOD437cdc9PsXv37nTbaLvX6hgx1j+O/c/bC1HWLIf0Tet4thcmq4DyA8WTZCpd5CloP92J0FgYQ0ND6TG81se9o5cfQqrNhP3qXsTUCJo7mjE2OoaKhnLYHFZWAXrgQ+BcFOOhcTz/ZZekx8x6HctLS0ux/yV7MNEUhjXsgs1nhd07pYhLRlKIjScQs4Ww/yW7UVJSwp9/Po/l+jE7KysLxcXF2/r8tN7b9KYr34Df/OB3sMY8085POjKP5bF4AG+66g28HfNtE5GtG71NW2U/Pf8llyDYFAd6Lcip8MGd62SSKH9XNs491g1/XxD5tTlweGwYV4Zwaf4laaXUareprK4Eg+1DKKjMhlkkdaZ2M6j/zDCcHgdecvDlCEshTKRGuaBHV3MnCotykXPJEbzp5degurqaz/u0v7f7fjK2afXbpB+z6fOKioq2xTZtx/20VttE16ZLgaDOpLa2GKiD6KLpPe95D99B/du//Vv09PTwhE0Hqahe85rX4Nvf/vaSlVLl5eXcwfpdiK3ITC61jSvZJvqhgZyfn8+Ddzts01LabmzT9t+mzLFNB9a1avvHP3g9xHbXVNbGDLXRoL8fTU1NKBYrORMJHgUN+/em1/PAyXuRGymFzWznMu01DVXw+nxzqpboDrZaHcXXvvMVtqjd9cOfo/dcPx576HE0qBfyJINObBYLEUrCLKWUjpOpx/GT3/8HvnXDndiVGbA+j1KqPdCC6277EN8tv/4jN3A1P97eOZan7T19+jQrosi6xooQk43Dm6NyBIfcl8Dt8DAhd2LiSezzXIizwePITZUgIvj5TnGhUMGvU39TXhLd8RU4x0iC2+uE6pThqDDh49/4YLoSEG0f2/auv2PebXrw9J+RGy3lfI2TE0+jxr4XLsckWaeqHHDeH+3WQtWp0p1JQn5hPqoKa6CWxlFQkI/+9sF0XlhJdSGOXnoBnn3sGPraB9K2lrKaEs4Ro/6aidV8n/i86KjCAfVizeqo3/0WgIoLitH1bL92133yebKNnFQfR3+im8e8/r2h8+LnPvV5nH24FfKwCCWpqeFag40cXp6SU6gW9qJP7ECWkocYwhxGr6uN6PO60YIs5GMYvShTajnHjLLBzuIYfMhDIcpgVbX8LVUgSirGywbso2jpb+Jz8HocI2jbLt3zQuxK7EPAH0BICsCPEUiKxOSP9p/IbfeYfdyOTkcjHj374LRcqbU87r39re/Amf9tRYFSwVX/RqUBbg8pkihLisLjc01F8KhZGBK7ceD1u/Hju3+47sdy6qubb/w8eo4PcV6Q3WpPK6XIsjcQ0/KCbr71c+mbgufzWL7YMXut99N2PufSz6euvwn+EzEttHwepdRIZBC+g3Z86etfTK9js27TSvfH+d6mn/3sLnzq7z+LCmU3fKYc7XwsCqg4VISu4wNMEtF76NjQLbTgS9+/BW9729Vrsk1ku7zp2psR7olztVwdmcpRHZFUCEJZEjd//1PTcit3yn4ytmn127TSY/Zm3qaVtn0nbFMwGGQSjIhInVfZFkqpmSBCpKqqCm1tbUxIEehOZiYpRY+JxZ8PdBE1VzAndejMfA19Z83EfM/Pl8+xnOeX+5nr/bzeRnpNt+5tl21azfPGNm2fbdLH9lq1nQ7K6cDwmbcBJh83dZ9GLrRgcLKLRUKRtA2KUF++D02NTShRqmCDHT1dfdh3wDdtPUxIKBITJh95x/tw48c/lc6vqjHvxRPCk0z+mFImRFIRLRPJ456y102ug0DWKYvDgv3796P00PTKSvpEMPP7r5fyJoKF7ppc/XdX4rbr/gUVQjUHNjN5nTHDyXXlY1DqgTuegzKhDj6vTyNEIKNx4jjisThPeN0OF8wWMwLhcUSSIShqP0qFavSgBWE1CK+QzYQGtYeUSZRtJZgFxOU4fHlOlB3Om1WdjULji2zls/fF5EU49X2Rycp/l9jK0RfrQp2tIb0MVSHL8uZq/QCZK90d2XsED5z4E7ISXhSFqlBr2Zfuo3hbHH84cz9KDxfgR//977yOpeSorHTs0QWARTAjocQ4UypzYkH2Rz3IW3+espvMJivfkSO1CbWZiK33vP29aPxdO5xJH1elI5KGcqJkTjNR2GYCVWCCkIPK1UEEMM77RB9PZWoNOtGMOGJaZTsiEGHGQfPzMSh346zyHK+XqvJJqgSKdCJCzeGzpvtoPY4RtO5YLIpIJIRu6RzMipUJKMqP0m18EiS2Ek5Iw6iO7EFUjTAhtdrrgvmOEcmADEeBHc29x+FRslGGalg4eFhjjCmfbVQZwoDYxYqkxERqznWt9bGcCOxbb/sS7r77bnzn1jswMRjkfqL+yS7y4sM3fhBXXXXVsj53rY/la33M3snn3Fu+vLTQclpuZiXWzbpNi7Vxuc+vRxuJYLrj63di4GwXonIQuUIxrLBpN4xUzbI3pgwgIEygZE/htPym1W4TnSMPXt6A+//rYUzERmdV2tTPFVRBN2GP4IIX7mOXyk7cT6t53tim2XPI7bRNm6Htwibcpvk+Y8uTUv/4j/+Ib33rW9Oe6+/vxxVXXIGDBw8y6/rss8/ywZJAygOSvb3sZS/boBZvT9AgowvVuQahAQNbHUs9gM6HmQGui1U1ouWjkRiKp1W+0e5U6Bf9FCTc7G2EPzjGF4x0XNMJJC2A+AyvgwKlVY+Mj177cVTb9qK6aDe3gZZ12l0YiwyiSKxgYoAykSKh8GQm0vTvMlXUKiot5Ek4VVai0O8Tf30WyogIJT4pq4IK0S4AuRJ8dU7Y43m48lVvhz/gR2dnJwJjQdgUOywmK0wmM2dJ7avZz9LjR88+hFrLASRTJCdWIZo0gouUPWQzozBssreFzEEUuIrRPHwS5ajFmDCICIKowG5W4UTVEHJQyLlFqqIgiSRMNoGVNvsuvWRWaeopgvDgnPuCFSAZp8YcWwH6Ep1c8n7mhTqtl5YlddaTJx5DUk2gxrkX7c0diEfi6T6ioPfS8hJMnIjhc5+8mQOB1/PYSXei6DNTwSRFvPPERkdodEoGTqCgcao4Z3faON/hsccew89/9Evc89+/BUYsXAmP+lYnFDnAHDKTEjK0CnuCKiIlJFEp7EaXqu0TzrCiSoWCCZXqHjTiad6vRGgJdMNHUJgsrXZo1jwiOIjk0r97J+OPs3x9vUDEKanYzsXPwKNmw4sc7qeZQec0DoPKOC9n9gj8vvWowKcfI2hc5FuK4ZQ8EGQTV5PUQaMtx5QPu1krdjAzwH+9kFmg4fKyl8O+yz5FuKbi+MP378fJp0/xd+18V94jGNcja4vFqjLu5Cp56wn6Pt371z/i/1zxKoy3hhGTW6EqQHx0HH3KABP2lP1UWJuDPz38h1Vfp2SC9iXZzmX5Jvz5N39BKOpHobksXY2P1NukJg25xnHpGy7CF2acVw0YWA6MY7aBbUFK/fa3v8VLX/pSvO51r+PH//Zv/8YSwGuuuYYnb5/85Cdx55134h3veAcP+G984xv4m7/5G77bb2DtQAcSmlga2JzIJEUIc/1tnAym9xdZukhBo1e8owlraU0x26t0ifpCfbfQOigsWBFmV9aZToTMrHyjpuWvulWGSq7rpdldggfJVBKPtzwMOQCYJCsiyVG2QJlVE/yDUfSaBhAciODgoQN8fMz15WI84UeQwrrFbJ6Ay5LEPnOzWcuRIBABo7okHDhyeGpbVar+lcC4OoGYHOftI5tdPBpDfDCGnKZClLjLMZDo4cwRRRHhRhbf4ZWkFCCL6BvuRd94N0pyypCKK/Ca7PAWW1FcWoT+3oFJ37wAVVSRFBLwOXz8Gf7QGNyCF07BDbe6B11qM1doK1GrkRCi6KOqbiw1FhBTQqCEri9+4Ra8853vnHXhzpP/OaoM6aB+JrJFB21/lXsPIq5xREJB5JtKppXNJkVZT7wNMMuosTago6mLLWpOwcMqKvosNaJwSD3lLIXkAE/2Mm0Paw3a5vyyXNjbXIglomyJJHJFVEwY6/TzMtQ2ssol1SRkiwTJlMThmgthCToQjPoxkfSjAUdhE6YTHtQfZlUjpoigIiIuF4UYU4dQLFZoQeWqFlROqipahkgvqhxH3web2Qan2zllHZ2ENWOfUJ9andZ1I4AI9D2Op6Iwq07koICVWrP6cbJCoUnN522KJ6PrRrrQesdCo1CDAnLFQiTUOCvYSNGmK9vot0218evB4Cgvv94kEB1/iJAKnIyjOsPuqpPlpKLZZd3NSkpabr0J17lgXI+sT58aVfLOP+iGwqPP/RV33/1zfOfLd2C8fwL9Y/18Ps4uycaHP0mqxCvXlJDSQfv369/5Gp5793O4/SvfwvEnTkCKUoEFE6xOMw49/wBuveGmWcpjAwaWC+OYbWBbZErdddddTETRBIQuWOkg+s///M+47LLL+HXanC984Qv4zW9+w1aQuro63HHHHWxJWCrI+kBflsW8jzsZukdUL/FuYOORSYr0tvYjEPCjr7+fyY6srGyurEWT7dKSEvh8WSir1fJsdvoFRqYKgJQbVAXPkW1DbCKBaDyKxtHjCKTGUVpUDjOVjp9BVulKqGnrmGF3GIz3oH28BRcXvxhumxZePnPf/f7J36JG3MePZVnChGUEKVuM1U/6XWqny4E9ZQ08lX+882G2Y/mC+RhNDMGheFDqrIDT6kJj8DiK5SomBBJqFIITeP5ll2A4NMhFIULxICwpK9sDqOS8ataq/xAZQAopk1dFaVkZbvjmP/Id8U989JM499cutHSfxah/DKIsIinE4VVzIQsSh7N7xGy0y41IKWTlymaljI3JG4EJkLgS08rZC+Mc1N7gOoojRy7gY60++uhkRMf2oeAAzpJV0VLFx5nW5GlUmfaydYDIMLNqQ0QNYBSDnB9lEsxIqZQLqKlMTIUy6mpq2S43U71BfU1qrvmUUoQHTt2bzpQiRJQgjjzvCIbSirQok020XVa7FRGLH5WpeohRC6JKmO0tkqwRjawqMplRbC+HU3RBdcmoe20Zbrvj61hP/PSnP8NtH7oDBclyRJMRJJQ4j5fCijwMdY+yHYOq4w0LfWzps2VbUIQKviPePNGIBKI4gEumKYd0UKZJL9pQhEomtopQjk6cRZ5QPGXd0wP3ibwSTTgjP4M8UyFKbZVzKvMy0Sd1wlVnxr2P/WHdjk3Utnx7EWqSB+AWfFqO1Dwgq2JY9aPNehoj8cF1a9Ml+y+Fsy0fQso0abPU2qQTUtrfChPPqkVGtHYET5x6DOsJUp6TDTeTkJrLvktoD2qZcutJuM4F43pk5TAIp80NslEPDAxwgP9Mq+T5GBt6sSe6OWCMDwNrBeOYvbMQXCKvsuWUUldffTX/zAca3J/97Gf5x8D6HlAoVZ8mssYBZeORSYrkW0sw0DoMJSigWjyAUCQEZVBBkSUXNpcNY60DiHqHUaLuwu3X3THnxH2nYD4VgNVlYZvTU+ce5X70qcVQwlbU7Kvn8U4ls/W++/yXb2ZL1sx16CCCqspSh1AwhCfOPIyXHnnlrO8MPSbCKRlJMMFyJvwcsmw5KJLK2dKnZxdJYQlnm85CcUk4+Lz9EEas6O7pRmWoFr5JaxktS4QIWaFoMm0XXEhGEzh14hQOHj6IZl8jilAGcnQNxDs5rJqqqrlkJ1f7ayhvgGgSkH3IyYQUVQ38/a/+hInhILKVfOzFUfQJ7cjFHp4cR9QQE2Lj0giiCKNCqIOHiQkViqpCJEseTLCJDpSZqxFScpi8cpgoy2o6NUF/m0QRxb4StJBVMTQGSFrwttVsg9VsRUpJcVYSqX4K1FImxcyiGXbRySQSEa8jiW5UeeowcnJwlnqDfhOpGGuLwmGdqliYiXR+l1jFJA1Z4Wg7irNK+SdTvdYRakH7+DlIfQp642c5uL1YqNLKZk8iJScxFh7EoKUXZeouND53ltexnsdOyhu58xv/inhnGLlOqoIS537MLypAbEDiz+5RW5El5UK2SRAkQErJ6Iy3cGA5Kavmax/lRxHhRjZKCSnOXapALXqFDh4PeZPWPdqhZsGEmBCBaAeS5ihSNiIPPfO2e06V3jqAJluiZIaTMrf426UyMZWZe8ZZZVyWT4UTHgiSid+nl7lfS9B4oPwoVofBxWRrElQ1eMoqS7/JYshkczLGfbze44huchDRTp9DF5R9Pf1zWlPpgpOIV7J7bQQpZVyPrK0y2OjHzQFWpprNG7I/dIuVAQNrDeOYbWAurL3+04ABAxtGrOzy7MazrU/CEfKxyiQcDcMsW+A0uQFZQCqa4uftIS8vRxN3/8kYv3+LiSbXBHRhzkSeu2ja8zQZpSpbjqCPK9G4LT7Eg4l0uVa2rHh3c9+9793/gN5jc6xDVTHg72PVDamgerv70D7SioeefJBVazP7m4iQEbkfTcFjyEMxym3ViEghNAaP4ZT/GZz1n0Rz8BT80QnExpNoOnkWYtICNSSySikhx5GUEhhNDiEo+dEqnUan1MK/e+U2DAwPcPvJApjwhRAVwqh1N+Bg1kXY5duNV170Wlyy53LExAgTUkRUEj567XUIDcdQrtYySRNDlCfNRDyNY4jVMUQ6DaIb2VSpTNBVqbqyQ9tODsmWJbhFH2yqHfFYDL09fXPuF7pIoXbG3AH0K12TihFtUm4RrUxA0foohyrbmgevJRtWk23yIwWYVBOTRhTM3nt8mO1ymaCJF6mZ5gPld4lelQmSuBJHWXnprPaZTRaMRIZQtD8H0fEYemJtyErlcV5XJiFFoMf0vC+Vx8sN9g5Nq/i6HiAVyx8f+j2SVQF0SudgcZiQle2D2+Xi31FLEEpKgcPpwLg4CEfUDXPKBihaThbRMelA9BmJ8LT9tTiAcQzTSMAYBjGEfpSbauAx+Zi0bFVPoxNNOIvn0ONrxhfu/ByH4Ce8IfSlOlmVlwl6TAqpuDeIyspKvP298998WgtwXpuq5YHR+KJtZeIX0uT/JX6sxcKTIogUelOVCdcaNB7GhyZYWUbEHrXBDiccqhs21cG/6TE9r70uY3zYv67jSM9fI0K46cxZtqAKERNcohcu0cO/6TE9T6/Tcj2tfTvyXLJc9clG9RGNl09+7EZWv1F1VCq+UWvbx7/pMd1sodfX+/hkwIABAwYMbGmllAEDBuYmVkilQyQIK3ssOYgnY1ClyWBilbJtRMgpqlCWRJYlF33BIAdkk/Kj/XjLuufcbEboKoCZ8EfGtX4056Sfo5wgIpZ8GRXviPS45+FHcEnlFdPeT0olyn6irCeLYkciEeDnspQ8NI+fxvCTg6jKrcHRI0fTknyfIxsjpn7YVDcKfMU4Gz45p+omIcUxpgxipGsMjw49iFA4hLM4BbNq5dDqLNapVCJLzIVZsDJPQ1V7qLz8/cf/hNe/4M144b6XTYajNyIaiSCmxuCTLSivLZsWYvvMM89gvD0Ar5LDGVQKVIyiH2Wo4QBmtqYJFq1yGOLIQ0la10FgUoMmXwJNxhRIFNosyxyMHU/GMdg/hNKyEviysmaZucjy9sL9L8cD/vsxGuzn8Gx9zbQ9DrOLA7hnu8BUyAJZxrTT21zqDfqbqkcNnxxEwQwyMZMUu/fk72CFFfWOummvx5LRdAWqm2/9HH790/3IloqYHKTtlGVlemU/gTJ4RO7DqBTEeHBoXUO8dZBM+pFnH07nkwSGgpCUvWhMNSJqiuKyvS9GT7gDYp8FbjGLjxPUWFLZcQ6UmtTUOJP/MlVEpOjbr16ENpzh5cmo12NqZeLRYrXCbrVBdKl4/gsvx/f+47usxDx74iy85iwospoeeyIF7kOC0zVbpbeeIEUSBa+zxVIl8omI0+kVIrWtplFP20uh41psgMs124K7WtB48Af9yCaSVzEx+duPLibGdBsoFQEg4tcBJxRRht8/sa7jiIgJ+q42NzZDCilwmsl2OR1UKdQpupEMxXk5S935CV/fStgsyqT5lME6NkM+mAEDBgwY2JkwSCkDKwJdqNCFuXHBsvHItFc81/o0XNEcDMmD8KdGEUGIp1VESJHNhiZcvvFcVpaYTFZe/tVHSzbMdrGRmKrCdmDGC8DJphPIFYpmTb70inf6uKe/xaQJowNjKMwrTD9HhJQt4MZgvG86sWQCJCWFpDOKprETOPvXE7jk4otBhfmoqtHz3Bci8HQSjSPPIU8uhlecIsUoaJwmpjaLFWXOKnSOtkBKOVAoVCJPLUY/W+qK4BayIKkpDkomkorCwVmpI1QgFJ/gthEppVvRookopKoQvvn/bpv1ff7Jv/0MqYSEUqEIEjGcqjZRtwr2dIg1gf6mamwzFUJad6pan7HeROTJvQVWnuBbUw6cfqYR2UVZqG+oZ+vetD4XBOR4c9En2ZDlzOb103qG/UMaITV7p0IW5WnHJppoUfWozP1Gv0kJNlX2vHyalU8nnV76phfgTVe9Eb/6ya/R3JZRgapmqgIVTcBTUgrZKODQ+EkOjn+T9UuzhAGypEAQFGSLhRiWe9c1xHtaH4oiW/ne9KY34uTJk/jPn/0Xb/+Z443o7u1CKBqFRdX6UstV0sxsdtgxigEUozKtmJoJIqbq1INoxxmYqmU0VO+FSbDwGK/cXc5qp8wqXXqf9xwfYlWe3WJP2yCpihsTfYc0O/F6n1vIbqaYZCSlOIe503ikfTvTLmfiMSsirsahmpV1C2elcZSUE0jJEsbQywHrpahKE8vUGolKwmMIExhBrlyEpJjg962XxYaIRH9oAqage05CKhNWkx3RYBiRYPi8W8E38/XIzLzBzPNNpg38fFjoM29gLQS62bJTb1RtNmzmsW3AwEphjGsDc8EgpQysCHQgIS+wgc1BrFSb9uLB03/G+Og4coVydMnnYIYV5ajlkuxQBQ4sJrJiDAMYlHtQiTp0j7by+17Q8BK0TdoudspJQi/BPmefdgykQ8enQ9BsP5PqJppQE1FCGSt635ECiRRSREiRnYvUM9PWQCXfrcUosJWgP94Da44ZP7r7h/w8BXAXVuZjJDgETyqLSQ4dolmEy+FkkuHRsfs4TLwEu+ATchDERNpSRyD1ElnYqDIa5TxRJTgCkVzhwFhaIUcYTPTiuvd9aNZ+Z/th+5A2dib/kWZEJ6K0x7q9ScuN0t44JZXSiQx9GXasENGEIoyiD9nIg0kxITgYQbPQjL379s4SPon5CkodpRgdHWDrqUZwzQ2ZAqmtYzhQPp1oJDJppnpjVtnzeUgn6pdLLrlk3kBgUqrYzQ5I8RQrXKhKG9kaNUJKC0OncZaDQrY2EjlsM9vXXSlF45TywP7zp/+FrnM9OHn6BMQJK3KEQjjtLigRASPqMErVanQr57TAeLMZZtECWZE59HwIvXCpXg4vn6/PKU8qZg7jV7/8KU9gFwpNntnnLRtYap6+RwVl+RjpHECxWsEjmIjVmaAxTKQrEXSF5fnrUvVKB6kPu9HCx2YilzNBPWIRbLxfaIzRcutlJUx/piDAHxxHPpZW8IWOCWPhiQ2pvrcZr0c2mzJpPmXwXNiJN6o2Y3A8fcfpZpjT6TzvQedzbc9mCMbfDG3Yyu3bDNisx2wDGwuDlDKw4oPuxMQEsrOzjYPuBoLtFYqAR1oegC3ogQMuJqRy1II0EUH2C1Kc6GSFPqmh5RyiC9agm9UzpbXFO8p2QRcMiiBzdZvMKlKk8ijbVQqhmxQ+M8e2Om1SSgoPTV0xRVZRdTay7JFCKpOQ0sLKlUnySnuuyFqCc4+04/jx42hoaGDyorm3EUXWcljtdNec2sA8Tprp6Y60wq64eNJKgdOEcQyiFDXpz2ILkiDCQpY+NQ6KTDaLRIKoyDeXsHWKSKnh8ABb0OayStFYUCRS2dGFsK5z0lQ0/BkUYK6KbPGicUUTai2HaMaknds/WdJ+crtd8KIFx5En+JEj5ENVTAiPRxEMBKYpUYbDg6i/vBqqUoW//Pdf4Y+PIcucO4dmhyb0CiJCANYcE2dCZYIVZnOoEJZT9pyem+u7wYonmwOpYBJ9agcHYpeienrQ+aTCZVQdQIFSCqfduS5KKd0m9KPv/wR/+cODsIacyEIOmsInmHzKMxWjsCaXCyGQzY4IR9p3tGeTShJWCcgTixBXIhxi7oQTA+hm6ySp8GZv0yAmhBFc8OIjaQvSYtu0mUrN33Dz9find98Ip+JmcpdolbnsewF1HGPiIL7x+S+vW1uoD+j75IaXCWYdM9tDoOM8fYdS0PpuvUD7x+PxYnxwGCWoWnT5MQzD4/ac95sbm/V6ZDMpk+ZVBs+DuRSmBpZoz5y8GbFSeyZdk3zpS7fi327/AaSogpqaarS1tcPsFPHej12DT33qxnUlqGZuD11jjoVGEQoFkeXNQZYnm63P59N+utZ9vO7tM4oHbMljtoGNhUFKGVgROEOGMjmMC5YNBU1I6GKB8o+yzXloVZvgU/NY2ZBSU9MIqUzQ6xSWG1THkGPOR38wyuvZCRX4Mi8ezjQ2Yjwag1kwI24hTVEAiiyhsKYAw/5hJqDcdg9sFhuTTlRpKnO861XzUqEEL0vrjkZinCFFlj0ue6tMYFQZ1BQzpAoRZNiDdhTbyzjby5PIxk///S5841++xuQJvZ8q7k1+QprI0dET64BdcDNJQPNVImPo30zrXNouR5W6EOfKdIJJ5N+hUAhtgWaUHymc1yrFk2QLhT9Lkwa06UQUfR4pnoiYIGsgWcCIvHAJvukqqclVUzspLJoQU8PwwIuQZQxJOcpWSVPSzMHnREplZjbpgeufUm7Cn3/zAEIxPyyiXStJT+uj4GA1jglxCO4iB2dBZW5PLBljFc5ix6mlECpzgfqJwqeHhF7kqoWTqqLpxBwRPwUoQVCd4OUsqrjm3zXdJtTz3CDaO9tRHN0FnyUbxwJPIFsqRLZQwBMJh9fOaijyjAqThGGOWsikWZFaDo/ogxUODjEvRx1CGEcMEfSglcczZ9RBSgeDizkq/vOeX6zoPLDSPl8r7N1bD5vdhpFYP+KIIVvNm0W8TQijCAkTsDlsqK+vX7e20PmUvrWUB0dkE6mzqNJeJug7RZZc+k6SrTKAkXW1gdKYyvXkIe4dgD+oEcLzgYoCmLwqL3++b25s1uuRzaRMmk8ZvBDmUpgamM+eOcz7cLf1YPo1qvB6+/V3ovRQ/pLtmSMjI7iw4WI4JryoEQ/CbnaiwlcMN90sCEfxs8//J/7t2z/AM41PIj8/f93tpqTCp5uedI2Zjyqu5JzyitjTsBfJtsR5sZ+udR9vZ4vuVsFmPWYb2FgY1fcMGNjCoIM53b3KQQH/nVITnG2jQcuSmrb8pLuKQHYiWp7el4sCDsze7ieHmZWHLql6AcJqAD3RDkyMTsA9movCaBUryCywwSLZEQ6HMBocQVgKcenzmdhVVIOQTbOskJ2PLvwp1Jwu6NvlJoTlICtnqoV9qBT2oM58AMVKFcYiIzgbPgFRMKO7RasEV1RVQEFEc4AUUwoURYaqaISTnqmkk11zQa8sRsuQ8kWxpxBRghCdAj785WvZLjLfRRJtT1lNCYlpmODUR45ORBFIqRWnNasTKEQ5W5zInjbVbM3LR6QZMSBatlkSI0I/Sq3VaPAeRq47HwOmLrSmTqMpeBzNiRNQa6K47rYPpdtHP1//ztfwH/d8D7UvLcOApx2N8tNok0+jTTiNSN4ILrzwArxo/8s4ID0TRG697T1XYT1B5AVVRvOJudznWjqRlP5hm6Mg8uu0HGUDrVVJZfqhO+vv+7t/wGN3PYemJ88h2BuFPAF0jXQgnoihAKVp+ySNIUKBWII4okx0/H/2/gNMsrO8EsfPDZVT5xynJ/YEjTQCSQSLaGNYxzVehNj1smB7HyP9bJBsBDhgbEDGIBaD8N8GG3tNcto1XpMFSCAUkCbP9EzH6ZxD5XjD/3nf27e6urqqc3WYuUfPqLq6K9zw3e9+3/nOew4RaeZ51DQdHfZjCKACQ7jO7cePikWdnKH2o/2JixH4Djlxuf/Cvo0N/8rf/SN+4WW/Co/Xg5QQx4Q4hCH0YFTo50d6Tr+nv//CPb+Kr3zhH0u2LTabjQk/G2xwwcvHm2hyum5zH+n39Hd6najL/L5Sga47XdSZ6KVUxLVSE+l1pA7Y6YlX7gRnr8BUJpHiaD2g15UyudBQBm+s3LOYwtRCfnlmitVwub6EBHpOicjBSwZpsda5pX6cCKnaYCva5WNwiMvbDj2n39Pf6XX0+lKWm5LnH6nozRRiIsjIW06JqBxqQH83U4hLleC83ce4dNtnHLP86z03qflWTbm2YGG9sJRSFizsY9ANjuTUtHpFPztFDxkdLf6VSrhWvif7K0GDU3Bny8rKvOW7vmpRqJxnIyU+q722kL+HQ67H95RvoTbdgnLJIPM0RYNL8+KGdg1OzYtZbQKZTAZCSsBE1xC8Hi86W09wiRgTUXYFx+7twPTkBKo9dQYpowL9WhcqUc8+QktKIVI+CWz0XSe0IqwsYDDWg9PCKd7u//brb8N3//n75hYjlUkhmoxAVYzBp6KlmfRinzA2AjfUWUR8FAN/n2xHdWMljnYeYcP2nrTEPklrHc9fedsv4//9/Tcxn5hi0om2iYgoKhckAoPIjBb9ME/g7XAigwwWMA0/Krl00DD8JjmOYXSe1BMIYw6CqKOhrImJmnJ7Ff8j8s5zUsDf/9vfFCQ5aFvPnDmDL/7T/2aV1MMP/i6Cl5NoCDQV3Y/VyhO3VYEgSKiQqukkM/FDBuCmObj5SNcYbWaFWI0pMbYpBQIdy7Nnz+KTf/YpXHz+MpS4yiV4c/Ep+FOVaJYOIqpNogkHmN5Y0Gf4vHA6HpnyE7FEZvW6hoBUgQE1g7gWhUf0sY/REHoR1yKolZpwyH6S1S+DWjeTjfQZRJpIdgGVTRV474f+EPfdd19JPZZKiWw5k+skfumn3oz+8V5c6ruAZCLJvDCdMYfLiVMHT6Oj4RDvZ3ffpZL1kaRepHPJJb6L3m0erPQdMyhBZbFtify+srLl/lPbBdpPKj/J9GdWJHbmpyZSf0hm9etRJW634nV8YJIXDMZGxtFwoG5PlMvsNWWSeS5JubEeomy9CtNbGUZ55vQ6yjPrMHChe83yTCrZI4VUpbwyETYXlVIdwgsLePSjf4YP/P77UapyU7re81OIc0MNwuEwK5tLWX663cf4Zi7RtWBhv8MipSxsCjRQobhxa8Cyu6ABLNX3k5w6GY4bKVKixobmhhdJfpC7ASJOeEVbdCGpxuH0O2Dz2zY8IN4OT5hCtfi0QmvzU+6ViHQkw1Hoxerz11vLX2jwMBWeQL3cAqfdi0gqZKhIBCDdm8RgpgcBvZonflGEDePw+RRm5qfRO9aNirIKvLzzlWi+oxZ//OgH8UePfBC9565hPjHHSqlKoZ5Jm3wQwSTJBqnkF8pYqTW/WDpJpEt5kx+R0RDSqTTUjAZJkyHriySUZnhYLU1KBfaWkFTD1NzOpUdLyWGLRxiCjGy6HZXGkZH3es4XEVf2ShmR8Xm4dR/vD31vs34Qw+hDTA9zGWELDiMozCCOEMZxg72dfHoFq83YPFonnk5BBAvQ7SpOBs4YpXc5oM0RbeK62h8RBB997CNGet75btTaG+F1erP7RBOq3PK/UvZTZFguqhLsNjsEhSaWMvs1aTkrovT9pOCiSbxdtkPIiBs2Oqfr7P0PUQnj9+GOB3BAOoGYGsbV8HmQ33UtWiEqRmkdlecZZCWlItqWiDFNw+zgAhRF5e1pl49gWhlFA1phE5xo1Y8gKoUwIQ0io6QhSAL89gCqajrgLnPi/Z/8XbzqVa/at0RUMdKAzo/X60VFZTli0RiXPVOpIymk6Pdm+yklaUCmr2Q2T+V5pKbLqlxzm65uBgwAFGGgapmSm8VSH0rK0gP2I9nETm5bi6mJudcWXXNkVr/T5TKH7Cdgj8hw2yr2TLnMXlQm5Z7LtbBT53I/wyjPpMWa7SnPJA8pKtnLBV1rc0PBFQqbBrENf/3Jz28rKZVfbkr+mFWiEYiSD6fowujwGAInAyUtP93uY3wzl+juJ1hzSAuFYJFSFjYF9tJxL5fRWth5cHmFoHF9//Wr19ls2SP5EFMjhgeS4DGmo4upZ+xJoicBUefXTWgp2H02HOk8wuVT6xkQb6ehYzKZxAce/n1MXp5DvcuoxSdChyTjmaAGP8rhK/Px9hGhEu+L4+Pv/hSab6/Hn3zsQ/wZ663lLzR4oEEX+RnNpmagqzpCFLauTyA9m2Q/nWmMogLVOIYzTOCZPkkpLYmp+WH8+wv/B13/cpknqUSSvONt70Td9Ub0x7tRrtcsTShJIZU9fkvEFKXF0UAlGB3NHrOP//8+hnf+9LtQnWyCrBuEgvlBFE1PKhf6kAzSrLiSZQnVQgMWFFIzmfu3SNgZs1hU1Vby8dvoZIPIh9e+8dV47htnMTrehzKtGjVCA2yiHe36UYT1IAb160gjCZskIxAoQ01dBX7rd38Tn/34X2OybxwuzcP+OKzqEyrg1QKYC87y/uf6dYlOAc0Hi6ueckGfdeXKFWTSCoKZOXTfuIZYPAa724bahlqcuuMEHnrnziS5UdkQ9YUBsRyhGBE+Cq8kG6TbYvmirvExInIw4CnHgtOzIS8g2t8/+L0/xFNf+zHqkq2wwYmrwfPQFTK99kFGEm7Bw99DxAmrH/lng6Si488G9ToQnMlwu1DUDLxSGebEKSTFBL+eXiWLMlq9HXC4HahvrkN5oByz8SmUnXLh1a9e7te1n2GSBmZ/Q4oAmoDVS0t9YDqWwrWua+j2d3FpWilJA2oPVNaZQoK9pAxSajHoYBnNbHh50etocYHeV8rySerPm07XckIcrfabyPdN2wlV4mqJdumYsiuJdtulTIolY6huriypWrnYuczHTp3L/Ywl4/jlJFIxUJkZJbwWO79UipeJqitK9ujCj87FV7yeXpeJKPy+7TA9zzfCN/0xl/wtl4MU15QKaO5PKYzxt/sYbzes8IDNw5pDWigEi5SysCnQJHJ+fh4VFRU3xar5foU58CXDyc4TxzCaGkAmmIYLbkS0MBKILr7OyE0jEKHgkBzIiGlWBtD71lt2sR2GjmZU/T//w7/iu9/4HsojNfDJZUh4bqChqR4Xx15kD4M6uyEZT4UTeO7cM0jZ40jEEzzpvnz1Cn70/adx5MRhOCYDa8Zt04R+tG8MHXJndkDAqpHgDEZD5OOhIYQgqlDHK4Av6bwL57vOolU7jDLBMBM1ytAMPydSpLWKRxBQKvAzr/xZnL32Asuy0+M6Xv/SN2DiiVHomcIDD7OkTdVUSDYRogwjzWZxu8gjhvxjfHocPpBptvkuA9VoRARB9nUySuoAv1iBWXGSUxVz1Vk0eZVcIpqaG7NpdhudbPzar/9XzF4L4mTLKTzf/WN0LbwIUTNUbDSpd7tcuOvQvWivP4CR+CAe/uSDPPk5efIkHnnHH2Dk+gSatVbYRdcydRSVSZJfV1SOMDljq9bW5f2Ub3p6Z9UrgCpj0h5LxTCTHoPNLuP48eM7MvCjdl7bVIN0T9IweV5WcmnQCUTA+RYJuLgSQ21jzYbIDSKBL/2oC7aYC5mkiv7UJVTrDdwGFCisrBEW/yPihL6Vzo/pacUpbXBBlEQ0HKvB+LVpbv+aqqJBb8WsYwJ2xcFllxX1ZTh+spOPHSnOBqN9O6I422nQvlCp15NffwK+WEW2RMUoZzZ82igUgBQJZPL95JUncM+b7izpMaBzR6bydD7pZyKnTDrb1L0Suaktvs5I/iwtaH/p3P/Be/8IF390FtqMCC1pUmQ6k8litYajr+zYkTZSSPFKx8VT40JsOpE9XnuhXGYtZRJdg1fHLuJi/zmkExmjNPzfT6Gs1o8HHnkX3vrW7S2PNc8lK0wvdKPB2bKMMNtJhelNobQs4uVYDKspLcngnFSt+RBEAfVHqzFxfQa6tlwtRa+n99XVrV7ut5lyU1ZCrrl/S6nDpVCSbvcxvtlLdPcTrDmkhUKwSCkLmwYpAizsPnIHvqcO3o5rXdfRYGuDI21HNEYTHEPhY05Y3V4XEx9jmRs41WEoSdajnim2Qm1itRXqQlH1NtUOOeVGpaceNlGGFtNw/tJ5xNIJ1AaM+HEqZ+mPX4cUsqHZ14YGu9f4MhEYHhzA+cFrOFh9BJWdNVklkPl9bDouSFAVDd/45++wV8wN2yhP0p1uJxLpGNSIgEb9IHpxEQdxggcMY7gBl8uJclQbhNQiEWXK59kXavF5hVSLkaEQvvKVr+LsM+eYqNN0FTW+eqihDFIqldTRxDLnOC76S9EPTpedyxRtPjk7UPmLj30GjZkOzAiTiOsxJspyE8Eo4W0MA6x+8VCGnVoBWaZSrKO4oVznkroq1EMSJChCBlXV5bC5bBgId29qskETuubb69io85fueQvvN5V20aDCbnNkBxS0uk5pfibhRY+UZkiT6DTSrNrLBRFUDriRzqQwLU7g1a+4Z02yLN/0NBe0R16HB14HtcHJHVNJ0Od3nj6K3rFRpOMpOGxO/seuRKQA4+NjbENaTYJs347ccXTdijDykPqtX3sQs71BVGXqEUaYja698GMaY9nSPPOYUqlrWk/zhCWIWbTgEFOYdYJBYNpcxm2fSz9B5VciajMt0L0qBtJdcNUfRX+6i/sKIqqpX9gJxdlu4MzL7sBTX34WjY5yLKRnuR80Qwq49FGSmfiklMy50BTOvLx05AaVcxIJRUmZRCO64cga0ef6k9Fr4kjy66g8dqNloJsGqzNTWECQr2fTU4q2ugJli6EGpYepeKVrIxQKsY9UKpFCy4lGDF8Z45RE8pcir5vdLpdZTZmUTCfxL89+Ca64H21CJ5x2J5cg05WZnIzjsQcex2c/8Zf41lPf4DKX7QKR4dQvEllHx4aUG2Z7v9mv921XWm6QFF5NaUlJestCQnJgcxaeqtHrtyuBL7/clEpz1ya99WWEwnYrSbf7GN8KJbr7CdYc0kI+LFLKgoV9jtyBL5nNdvuvIRiZQ5m9kpUjipLhSHou55FFJqSM+G7w69cr1d+soWM2qv78JG4MDqIhdgABewW6wudRr7UiHo3zdnl8Xi7FqlWbEQwtMHk0lO5FlV4Pr1CGZCQNmz8Dm426LQERJYh6oTWbBEMm3uQRZRjxxtkXZio2Dr9eiSbHQSTTcdQ6G3gyc3X6LDxKGco0H0/cy1DFBNQN/RorSkiJVIMmY4ftY9cuAAEAAElEQVTIGJqMugVj3sU/L67HE+lQIzbh0x/9DFqb2lk5Rp9PJZUNFU2YCU8x+UWm32Y5Fw32SbGSRgI2vxdHjh1Bn3LZKMXUdbz4o3No0o/AL1cgpM1jVO03VFWLpVhENh0UTmJI6+bSuUq1Dg1SGxNXB+ROhNRZ3NC62Jumtr4a1R0ugNLsNjnZ2OzqOp3/dv8h1NYruDZ5if2PqoT6JYJN19n4fEGahupP4T/f90trbtt2mp5uhx+aCVJ4feLKp5Ea1RGcn4eSVqCpWpZMoPMt22X4K3ywN8l42zveuurn0bY9++yzePdvPoTEiILp8BRsOlEQLkxgGI1o51I7+nzTe4gSAOnYVqIWc5ji31H5Kw2CyX+IjOkpUS8f1C4pcS+WjuA1v/BT+Jsvfp5LwrbjuOx1nHvmPOr8jbg6cxZO1YN6wbiOTGTUNOaikxiTBtFefYiJ5/vvX/3cbRZkGkzfXac3YQqjiMHD55JKdE1Cikp2ZzDBSYl1aEJMCPP7ystXetdtF0wiOHw5hTsbXwY0oqCn1PTl0pfLmeUyHfJxXLt6HclwipWtHtnP5Uwe0Q81pmCga5B9ErksfRfLZYr1nXTfIEKqJt6CgFiRvf+Z5DWlnJGqd2ZwAm+49414+uwPt10xRf0i/dvOfvBWwlJ5ZnxFIlwhrOXlSGojm1dCKppYWcJXACktwYtZ21G6V6jclMurPC4uYSbFaD7If9PpcS7zcdxuY/ztPsbbDSs8wIKF7YWlmbNgYZ/DHPiS58tApAdnDt6FpI/iu2/A6/ZCkTKIq1FA0mFzGwop+ju97kakl9+3HvXMRgwd6xxN+Pu/+gcefJvqKjLKFmMyl8nQQJgUCTbRwUllmgJEwxFk1AwyWoZNvuOZOLx6AGVCFZtli5rIBFY0EmWShl4rKhLskgOxUBzfvfBNVolVxhtxQDyOVDyFNvUYmvVDUJIK0pk0f2cwM8sT0GqpgVVkUxgxvJi4bEdhuThN9alELwsio8wfs4oAYqkAu+DE/ESIE/fM8+H2uJkkqAnUoaKsHIJTQ0ZOQZEzyEgpqHIGdq8dR44dRlpJZgdS5LEVDyWMY6Kq7L/ULhxFh3AcLcIhfqTnZajEKeFu1AiNGNF7cRnP4qL6Y1zRnsOYsx8nX3MEX3v2n/BM91P4529/BZ94/M+3lEZlrq4//NiD0Dvi6E5dQl/qKj/S84cee4D/nrsCSO2lwd2KEyeO46df8kaUV5VjWOxBj3YJ/dpV9ItXEauaw513nsFPn/hPXM5ZCtPTQsqj97zrYbzlZ9+Gt//ib/AjPaffbzaumY5t/W3VCGXmjbIvOJhAouQ745E8giT+e8Nt1UUJYPr+Z555BnedvAe/+pr7oXc5MR+aZ0KKiAkiKGjlmMgL9o6CYWZekUNEUToikVDUrsmAnn4uQzXmMYUpfXjFajyFIkzoQ5wW+Zd/+1me/JJi72YfONOxHu0fR1ia5+NXhQYIqgglo2T/0XP6Pf2dXjfSS6W+pVEEMSkt0hnV0YAD8MDLqs0BdGEYPfxIz+n39Hd+JYVVlHjV3VyMqPbW5Rn325a1EVqMIMKYiOBSgcgTWmygRQglonE8PXnb5IKe58bW03VH79stFOo7vzf4dTjiHk4d9fjc8Pq8BeJIgGpHPZI3NFbilgp0Dm+F671UKnVakFkP6HVrlae/893/A+Pa4Lo+j173G+9+J7Z/f4azz482H+f04UJIagk0tTRuaP/2wjHebuQfs722fRYs7CdYSikLmwINYGh11hrI7A3kS/LrUI1wJISBscuQnBLKysoxGRzjCWxjYwP8vgCkQ+l1q2fWY+hIrzEiw6+yQWbybBw/c+mNiAwn8JKOe3B5+CfZJBf2OsrxCiC1RiqTRFKLG+bdgowJbQhN6Mh+tqKrSGoxzCYnoSVVVg0M4BocIQcbj9fGm9FQZpBmC+kZ2BQnfKKhIKAyMU3QMRudxrwwhXqhnUkoQSf9kWykFuq0TTaktSSGu0fRrC2pcUyVVIF5A4OUaGk1nX1+tLnTKKMU23LKuYz9MI91TAvzBCq3dNIk62gV0rCwWvSTEQwvguz28P9E1AvNmBMn0DN7FZlMhtsBmR6X4rrcyOp6fnuhyPpX3PlKQ2Ghquxvlj+p7e7rW1XRsFXT03wvqtzPoZXYTz78WTTeVr35xC5dZ9WdXfKg2lsPu2g3ziGlOWppzGgTSCFWsMyJtpF81n7nNx/CWM8EyjPVCGjVrIqi8ihSRVEZJJ15arEMSivUiZjS2IOISClSQ5GnWJPegRDm+VpqxkGMoI/JMVlz4Fz3i4ioESY++SoSjJLDMlf5zpWC7QFQewiFgtDCQEAsg6LSUV5ZikFKNL9YhlB4lvvUUvmB0HWbEQzyREGKCU0qvSTQOTaNxamEjv7OrxNLa3K+19Kl6LoMRhYghb1MPJkgr53ZgYVlnjtmbH0sHN3RcplCfWN+33nXiZfhYKATLnlt9Uej3IZPP/p4yRR6FraqUq/hcnFS5xbDer0c3//+9+Hzf/G3mAtOolIyPo/a9FTv3LK2PadOIlEexiPve29Jy00N5X0Xe+qVyZXZ11EZOikRzbLSUhrjb/cxLs32WeEBG4U1h7RQCBYpZWFToI7EqoveWyhGGhAK/byRm8Faho4rEqxEB2KIIDQ+jepUI/qv3sBMYgb1/nZ+Pa1em34FZmlKXItkfaBo+EWeSXEhhnmd/JMyiCKCgFqBCtTBJXh4cuYWvAgr89DUeYiSkTpmeGSNGsRTDkiCnqbjkknCJhuTb1JGkfeOsQ1kBq8aXjzhIJrZS8pQSK0kpHKMfjlFT0HrkWYkbhgy7mVllDmDOfOYm9L3mbyBFP2dE7W0NHtRrXq+ISCtpaCKGZbwU3T9TsFcXd9oe2GFhSxvygB0K6an1N6LeVGZBJbhh7Y5LypSk0xemcMbTv/8IjHbhVg0lvVq8Xg96Gzu5HZx40rvsrJC2j4y4v/Wv34XzrAf1VoDonqEiVsiSUjFRymQSf4khX9vkpVU3jWLScxjGq04iGH0Ia5HuGyPSA2zfLARBxBFGAuYhh7RYZNtUAUVTsmFA64j7JnUpZ7lUjAiEG8FUJsYGx9DXeIANBWQRVuOdnz5BU+m/O6EH2NjAyW970lOETPRcSbjjYS9ODSjB1rMuxO4f5Lhwgj6+fW3UroUfWYwPI9qrPRYSkWXFgVyCcW56EJJJz60r6RwvXr1Kr78ha+umUhLrw9PR9C6DkLKLOVbmAjm+NNZ2CtYWZ7ZvKzMjMrJNmIcT/fxF7uex52ddyG8sGAsaokuJCOpbMkeKaSIkKLXbVfpXvH9aeHUURrbjYUiqBRq+J5klsZSQE6pjfG3+xiXfvus8ID1wJpDWigEi5SysCnQAIlSP8hk0Roo7Q3kr9DmTu6L/bwdho70vTRocYX98EtLKx+UaJdIJHhQTYblVGoXi0S5tG0+M4uwsoA5bYrNfOcwzR5IpArp06/wdJCm0G7djwa0Y1y4gQPohE8o50FRRk8hgwxv04I+i0YioDRgPjKLCl8Vx93nesMQqyTKIgLuAEYXDAN1IjjIrJcm+lkDc11CmViJ5tO1SF9IwaYXu2kahBR9v2QTUF4fwH995/1Zw3n6rFccexWevvYkxsJhLhXM9WWIKGG4KkSUnXIsG6jQudElDbPKBBpgmL2vhllMQJf0PZfkUgoD0K2Ynm6nF9VaahIXPKhBIxJIMKFARIKL//Nk1SRf/PyX0flYJyuTeDD742F4k2S2PYdqpQnT+gT7nMURhZu9herY54zIJ5pom/5RVKpHpBSpotzwcrkeJTdOYISVVVTeRXQGvScglKPGXYuDL23DWNcUBE1cNkAm1dR2GirvB6hpDYIirXkPY98tReLXlwrUd1MfMY1xTt0klRup38wkQPORiEjDW2ocPslX0iSnvZYuRfcan8+P+cnpZf0jJ5Qdq8bEteUJZXRf8Xl9206SmcEddN0P946iu7sbcsSJRm8L2tva2WSd0ysLJNIS8SvpGxt6k4L3ViKM9xNWGMf35xjHd2zcOJ7G1AOTvXj0o3+Gv/7k56HGNJw4dRxXLl2F5BO5ZI8UUttNSBXbn/6+MTQerMdcZBYz0SGUecth89vQl7myY8b4232MS759VnjAmrDmkBYKwSKlLGwapfLWsLC5wfFaK7Tm69cquyr092KGjvT6K6MXMDe+gGrdhVnMZI2dHQE7JHUx6UsXEddi6ElcQSIRY8KKEpx6cIn9WurRxgopB5z8meO4gSYchFcIIKkbEelESGFxgu0QXBB0gZPmSO1EE3T6XiKjEpn4UonTIlit4nRDIv8REXB73ZzGR8/p5pjWU1zCRxO+OCIolyowghHehqWdXa6WInJMtkmsYnnokXetkHFTcte9x1+bVc6Q+TpNKhNqHIEmNz76V58q6PNE/iJUfkh+WlSKVQxUqrUgzPDr9xpKYQC6FdPTzXhRrZeUKma+7JUC2ddoMZXVgklHDClbHLMvTmO8fwqzoRlEhuNMkjpjfqTSKciws1quAtUIYZavC59uTEaJmPIiwGRFHZp539r0wxhEN5foUWIkJS8eEI7hsv4c+0WR55kuarA5bGymTIpCKt0jw34TSSWO8vqyW2pwaCrv6FiT+oiCIFRVWXZfo+MrSTKTUvQ6sYSECxGU6UQGtWhm/6hqNKAerdwnZrcZSUximAkpCmIIxaZLWnK519Kl6NhX+qqQ9E+sKCkSpOV9hxHmofPrtzum3igDnkKdoxlTfTOoj7VzeAeVleearBdKpCXiVxU2ljp1KxLG+wnbbRxPhNMHfv/9/I/K8vv6+nDw4EEOqdnt/dktY/y9bs6/17dvL8KaQ1rIh0VKWbCwT5E7OCaVRm6JRe4K7R8/+kEuLTCIq3FAJYMiHQ0H6vHmt/1n3HXXXbhw4cKaxBb9bCqBckv2RidG0K4dh0NcGvRT4p8WB4LpIGYcE+iOXoZL8yGgU+yxAjf8XJpCE2ginowCFdICKFjADKs+KoU6Jn6IoGrRj6wonyMiihQD0Bfr7ASKS3cinohn1U8EM3VQ5tQ+MGGmiSp8fi+njFVpDZjCMKtMvChDEDOoQh3O4kVWalUINcYHLdby0RiDP18EUo4YnG0i7rvvLUVl3PVljfwvnopjLDGIltvr8Scf+1DBiRud04PtB9Ed7sVkZhgxPcLbsiwRTE+zOiYiLECySTh44GBJ1RKbRX57WQ25vlprf+bjG/rMrXpRbcZ8OR/URIeT/ZAiNlRJtahyShi5Porh6SE0Zjowqg7iME5BFux8/dF/RE6ZHkdEirTqh7n8LooQq6BcugcBoYJJqzb9KKulxjGIaYxB1m18bUxgCAccR+Fy+zi1spCZMmFMGcRDj6x9/G8mEJlDkdSCDUikYnzMjCzD5SS+qihICRmIDoEniKUigagdqQr1LGkcxm3cl6WQ4HNtlmHSf0RaEflIKknyZ6P3lcpXaq+lS5lm8LklRdVS/bJ7D5U0k38bEVL0un6la1MkWaGJpZlESMEdpLqcCI5xyTqFd2RN1kUv0pEk9wfHjh/l9+Yn0pbV+pGcjLOKeC3cioTxfsZape2bIajIe6dUyqiN7s927992bNNew17fPgsW9iosUsqChX2I/MFxPswV2okLI3jNPa9DlVgHbUaCmtAQVoKYSU7i7FMX8fUvfpvLfZq9bTjZegcOVZ1YivjNKz3IVQJVe+p4UuAM+WHXXMsmBSYJlBJimEqOI5hcYMLHhwB73pBHDk2xyHGH1E/mhIscdMiM2Yg7bzV8nnTyeTKMxLP7vpiDR9vplfwYy6TZf4qMs414e8NEO6OkeMLOcds5fkvVjjpOlGmUjPIPUiRcwfPw6eUoF6pZHUV+WLSdQ7iOsD7PE0GaJNK3U6mIJisIOWbgapPwrae+np0wrCXj/r13/M6qMm56P5nSN9U3Y2piCmklgRHdMABnY2pdMdQbggRZllBb34CAv2xP1uaXwgB0M6anW/GiWs/Aspj5sgk6dz3RyyjLVMEj+DGQvgan4kK7fAiz2jy3KVLDUPsiZRMRUaT0o+uCCFyzVC+ASiZsSVlIxAWpaQJ6BZf20faSB9kh4QSrNBbcU7jn5+/ET575CVLDcfhtS6qtfMykJuBsN4jVWwlESNtcMjLxNJdZEiluW/ThMkG/NYzFFYi6ALvbxu8rVWka/XPDBw/8hgJ00e/OZMRp26jomP5OpZ1Bfbbkq82lIJe3SpJl+jO49/jrsirURCIOSTuMfq0HLo87699GnjcbIcnWUh5zYuOFqew9l0I9zPCOXJgm61RyR6V8+QrMBx55Fx574HF0yJ1rbtOtSBhbWBvboca5WRQ9N8t+WLBwq8MipSxsCtTxV1ZWWjeAXYIZ072aRw7dqK8NdSExriPlEuCyOTAY74It40CLcBiyLqM/3YUmHEZAKcd4ehLzUwtcdiCJYsHSA1MJ9OKPnkF6QUWFzWt4jvCcyYinFyQdg3ofpsMTTC7Z4UCFWMPkjlv3cknaoH4NjehYnAAaky3SKBC5RJMwKs+j3ytChrfTMHcmCEttjgRfolFao9vpe22saqBtoFIKIp7aPYezCinTYLymrA6zwjgWInMQBBEZIY2j+u3owUVE9AXU6S1IX/bAp5Wz3xWVUFG5jE23wybY4PI4UdNciYcfeYAn8vkr2FuRcdNrmg42oEFvx4t4FpG5GNKZNKvS6N2soJFkVmv4Kipx56F7OEVxL16H22UAmn8MN2p6uhUvqq2YL7PKRlewkJmDnHHAK5RhQLmGSr0OHvggizKTSXMa+URJBtmoG6b59HtSOjnhZEUMlXHR31v1Q0zsUjlrJ+5c9GObZEKFLoiMlERzSwP+4q8+zgrISCSCN9z7RvTdWECT3MbKjKnuWfbdIQUGTXiJkPrWU9+45ZQYdH49ZW7MTU6jVT6MjJZGSotDI4XcIlEuUvsRXXCLPgxleuAvc5ecAC5DJSukiJh0wsP9Wy7hT957GST4daQivdXSpXJJMlOFyoSepKHjJYYyaTMk2XqUxwPzPbir/tX8O/pOSpmlUI9CoBLe0eExBE4GVpjAv/Wt9+Gzn/hLzAxOoNpR/JjeqoSxhcJj7RWk6aLXXDG7hu2wfNiruFn241aFNYe0UAgWKWVhUzC8NoyJlIWdx2ox3XSzphXkF3qfRXQ6zvHwaSWDG2I3l8sFJKPUIKTNcwkQkURKWoXL5YYSUZeVHRBySw9owvHmt/0Kvvkf30E8mcZCbB4RNYQ+9QqqbPWodtXgavwcIukwatAMRUihclH1NKdPcQoYbR+pQZZK0ozvIcKFJlw0GWOCCir74SwRCgJPEnkfuVSCSCwFFbZqJN0RVNqr+G+SCtxx1+344dUnEI2EePJmIqkl0dHShqPeI6z0mpmb4xI9v1CBk/rdXPp0HecgpqmIR8xGsVegxkj7q3Pg2sjldUvpNyPjNiddrzrx+pwktyhrJIj2I9XXUTPJLdJbUmXCbhmArjXg/OhjHzFKTtdheroVL6qNmi/X661YSM/iRrwHcSXKhsYpPYE2HGUCgbyLKDmSSKHIQgxJ1SjNkiGzIopUUGRmboODy7aq0MgeQh5uo+UQBZnL+ChJbwKDvM+koEvpaSiuFD72Vx/B/fffn9128qF5+uwP8ZWvfJVj5SnFy6Y5kNFSXBL0UBFi9VYAHyNNhyarCKsL8AkBCGxGv6RNov9LgoiwtsCvI1FSKe95dC41XWXFqKkOzVVCEUHlhIvbCrWPfO+83SaXqVS81IqFQiSZGVKRW526EZJsPcrjNtshXLh8AcPRYb4/UlIs9TvFQKV8sVhsWRlwrgKTiOB8wtjErU4YW1g51iaFpkGaTrPqLrccne5tn3z4s2i8rTprqL8Vy4fVPmMv4GbZj1sZ1hzSQiEIuuU0tgKm5DoUClnmkkVAJVLT09OoqamxBkw7DLpk3/KzbysY002Kmh91/QBqSMNUbAJ1mVb2bCICKiFEUSuQOTIgyTL6M11o1NsXTcI1iHYB/kCAJ9Mdx40EIfP7oskotAMxOF1OjJybxOy1EMpkgwSaC88Aiog5fQLj6iA8WoDJpUO4DaNCHw4Ix3mF/4bexT+TGmoUfWgVlgb/XKpHSg89jRH0okM4ziUzNtGGG9o1VlzRdvJqIRs7AXaHHS6nE0kxhqh3Hs6IH36xDLpHxfETnVnPKzUMTr8jMYnsF3Hs+DEk03GMJ4bxnee/Dl+6Ekk9wWlXXAYlOXDnHXdi7CwpSjTMC9NICbQi3oypyiFcm7hU8ojxR979PgQvJbKTLlbd0CRIlLPfTZOuslMuJn32y419Pcqx/AFn/gR4MjmybMC5ns88e/as4UW1RvoeYSDcjYcee2DdRucUB//ff/6dGOkdw9TEJJKZFMr0alSjnkmofv0qK53I76kZB7kdE7lACr7e9GVmWKkEj8qxatGEIXTDAZqg6vCjgsksKi8LoJxfR2TFor0Zl/HNiJMQKxT89K++Bh//9J+v2hbIQ2lwcBBtbW2Q5Vt7TYrazc++/OeA6y4MRLrhUF2L/m1LkxhK+ST/tpSUQLvvCIQjCXzzmf9XkuuNkkrbPIdwSL+NiScyVie1nNk3mo/UT1G7SiKBXuEiBmO9JfOUyj9eJrk80jeWJYKbOhpw5uW34+yPz2NsYGcUC2YfMXJhyiDJHC4EmrwIjUaRSC1XYK5nUmr0D59ZtX+gEI0nXvg2arQmvj/S2PAbz/87OsTjRd8T0yI4/ZJT2UWM7tQl/OO3vpQ9HjSOyiWMKWWPTM2JMH7wkXfdsoTxZnCzlrNRG5mamsL/+tinELqYQvUaZeuU6FtoTGCOK4h4Xf0z9va44mbZj1sd1hzy1kJ4nbzKrT0qtWBhH6JQTDd18JSC90zXD1GntBmeI3qcy3woZWseU2haLJejm7qSIe8aNatWYkIoQ+bgOpcdjAyNIt4SXVTpxJDKJDHxg1G0246hylWLRDwFVZqF1+WFx+VDNBJBQkvAqZOnjsAr/bTqb3r5EOllruobKqjC6UPklUSpemk9bZTlAahAHaeNNQhtEGUBoizC6/UyuUbleC6PC6cXjW/nFqZwZ8dL+bOM9LvXYWh2ABeHz/J7jxw4gp70RVbCPPi238DFXzyPhoWDvJ0hbY5Lqei4RIUwxoR+CKLIflyNYhursqjgqtSm4sWUCeSTtZGyt1Jis4P3tZRj6/VKyy0pXY8abTNeVBtNKKPlnZSS4dJLMiBnTyiNaKMUEwn0nHyfjP00DMyrxQaMqH3woYyvUUrXa8EhDKGHSSryF2oFpev1sM8ZKaToiyQipkgYIgLOgAM/c9/r8acf+9Ca54IGf3TtWINAox+lePMpLch9Y1KKY0wb5Ovc9G+jR7r+yXcurSVR6ysr2fXPBKugcblyAlG2uidyinzxTJCKijRSpNokNR0pTndKCVCoLJnwR498EN/43BM7qljIV2D29PehKdOI0dQYk2QbjWBfTXlsghYEiIQzy/KOnwzA7XEhHUvBXqSEj+585rVWyASe/nb//W/lf3QPp4E7Ddit63PnSrj2QxlYf38/xi7MoN13eNXX0b1t4EJ31lB/o5YPxmcsN+Xfa7hZ9sOCBQsrYZFSFizsM+THdCfTSfzLs1+CEJVRq7egXmjhyTCVBNGEhogb+o/8kAg8WdZVgzDKjrUEll7QxJqSwrqmL6IyWosKsQ7BeDfUNNCodaBGb4YWV2FXXWzCG41GuReJCkHYVQev7tNEidQcRD6ZpXe5RBQN8ERdyho4L347g9QAVGJIPjn0SNtN5U6T+hDCwjwavc3LPKK4HK+5jQmoY60nkLo7CG+5hO7+i0slXXc04u8e/xxOnz7NEniTSKFJAKmPZJsETQHK5WpOtaKNqZXqkLZJhhxl0cuFXpdRSpe+tR1lb6XETgzeSbEwdG4MBwOd2zrg3IwX1XpBr7X5JUTmIqgUauAXy7ldUdOJYGHRM03MmpebxWFETFEp7YCaYW8oIqOG0Ys4IkySEClFqikfylGLRiQQ52tAkiV4fG4ktTgqWwJ4bNE/arcnTvtNmcAG9dEFuCQPkvYkHIoT7eJRPkfUh1GfReeKyuQga3BJbgQjwZKRQHQcKFmO1DXsOWaW75mdELc1kU3xyRCfSEpKUS1l+l4xmF5tpmJhIwRyKUgySiEcGxtDY2PjhlPKltI5T675fURCKTEFmViK33e0+TiudV1Dg2iEZuSC7rtOjzO7z2v5WxERVVZWtqFtv5WxHSVc+6UM7Kknfog6Z9O6XptrqL9R4nWtz9gLuFn2w4IFCythkVIWLOwz5MZ0O2QHE1K18VbMY4ZX9E3QxMqYYBleFmTga3oySUXUSpwUFruMCqUO9VIzuqMXUabUYFofR5XQYNSBg4zHdS6Pc8huKEoa8+oMD8zjWoxLS+izDfJJZPLJIKmWiKhK1DLxVAdjcGF6uND2elHGJTNRPYRqWx2SWgIHXZ2IeGcxlRxBtdbAK9NpJQWn3w6by8YlVwah8FerlnTlKhw4fctpY7IuE8uwSTodJ1JHcTA8lQoScUW+PbIIm8cGu9NesvStfGzFMH27UcrBey7Z9b3/9ySkhB09Qh/cHnfWO6vQPm90wLmC6FvDi2pD+6DqiMQjaNWOGOWxfGvVEcIcqwapFZkErfnpqqpxCV27fARTyijqhBY064cQFyIYFwaZeCiTqhDTwhgRgyj3VsIjeNB8uAFHbzuM//Ybb9sTq/gbxV5RJmQN6gU/Kn1VSGVSiCYjUBU6T0aBJBGAPqcPDpsDSSWB+ehCiUt3NYQxj4BQvviLnAaT81wWZIT0Oe6fduscPvvssxg9P4UDgd1XLNA5ocWCzZybQsrjYjBJqIBYyYsa1Dd1+7sQDM+hTF7yLiTQfaujpX1HTeBvFWxWUbvdn7EToO2cm5iHx16dXSRbDbTYQve2XC+z9RKvS5+xZMq/l+4vN8t+WLBgoTAsUsrCpkCrelYt8O7BNMOOheJwxf0oE6swq01mlUdUBqfoRpw8kUREUBFMXxJacRc1kT1LDE8pw6cppMxxOp9PLDN+VpycGjapD8MmLimEZIlUQxqXk5APhqbpcMleMmHhyTebluspNm4208NyiSginqgkj9LufEI5z7sMEs0gg2r1JjZyTqkx+KRy1FfW4e7OuzAVGseVwYuscPD4XWjvaAc64gXNrdcijoikqGuqxVzvJBp8rey3k0gkoZIp/PkRNqOmUkGPy83kwZgyhLrG2l1ZMd2MYfp2oZSD9yWyaxp1zmY0pg7CI/v4b+l4Cte6rqPbfw2vOPYqVsNtdcC5nUSfSa584a/+Ht/92vfh1ryL6hZzImC0aVL8kXm5eU2YJXzmBIOu3XlxGgktClVwwCbbUS80QxNVVNRUoKW1mWvxaWLrO27Hn//Fxzbd7+52v72XlAm5BvUNaIPD5uR/3Etm29RSu5jDNHxeX8kmOKyA1XV2koroIfiEMnL9zPJS/MhfK/DfyXOPFJw71R/lk4ldV7tQl2hFwteFxuYGbqPFjst2KBZWu1630q7zlcerwSShQsF5/i7ajlcslo6PhSKoluqNBRM1CaffwYseA+GeXS21vhmxWgmX6b9IKvEKVxWGzg+su5ytkHfjbpeB0SLY+I0pHHRWL+OnV0Ouof5Giddin2Fis/fN7VhY2879sLC72O2xiIW9CYuUsrAp8M1bVY3UG2ugteMwE4i+/Ll/xCHh9GK5ibScxNAX4+SFVr6Rk/KCCCrzfFXkkERccmeTMZa8YbxekjCWHEW90L5IFkmQpKWbB5NaRHypCiSJPtXOK8eyaONBXUCvxLwwhVo0s1dOWF9YQUS1cLx9L6J6mLeFVv9ZTcWeKWnY4UQiEIKnToJQX4aBzFWobhUv/7mX4q3/4y3o7OzkgcZm2x+978Ttx/Hc+FkEY/O80u3zEamgQ7JLUNOmYgIIKnPQPQpO3n76lmvvpfJwWCK7UvzZap7qgyZ3pL4LRubw9LUnce/x16449lsZcG6F6MsaLZ+fxKXrF+HUXNxeDUpWXyxdNa5J32K7J383eqxfVAfmbke7fBQDShdscOJg4CgULcNmylTOQ140lLJoTmy3MojbzX57rykT6BySQirpn8hTuqw8NnT9S37dUFSVaILDnys70ZLpwJh+A3E9wv1ibokzLTJQf8rlnkIHErbIjpTv5ZOJh2wn0Jsa4LALLaZioGuQSZgjnUcgFWifm1UsrFdVt5V2nas8zg1VKPbaMwfvxvNTT2Ig0pP1+yPvwsnsgkkQHt/igsnBxK6UWt/syC/hMhOHrw1fwVxoDvFkDGTbZxftHIjyW//tATz+959epsI0P8N87/WRq4jHEln1LJVqkjKOiMidLgPLbfejfeO43tWNcCYDp8eBxuZGgwBe5f20/blk9UaI10KfsVl164r3kWIf6qZVsVvdDwt7B9Yc0kIhWKSUhc1LiufmmOm2OpSdBx3zD370j/Dlv/pHg8zRhWx5kAGdE+tGMcBx8gYBRSTRki8BrcQvCDMI6fPwiD64XB4osQzHzjudDv6ZJkSqpkIX6OaxfLJB6qGUonDJiQZ61NkUeEab4GSoNBJs3Ewpe0N6N2IIs2JqAkOI6RFOEiPvHJpkDeE6v5/2IYUEq7lSSOKJr38LL3nJS/j7SlG+9rZ3vBUTV2YwNjqWXel2yE7UHa3G+JVppJQk7w9NSFubWvG2d74VtxpK5eFgkF3TWYKiGNlCZMFYOMwTh/qyxh0fcOav8BL5+v6HPoDoVQVu3YdoKAqZSFkq8+TSVm2xXE/nJC1Su7ToHRhCHxtYu3UvG6GbILULmaE3OQ4g5Uhg1N4HTVbgd9kxlRreVg+x3ey395pBLZf5ivoKpQuV8xIpSAR7Rs9kr396Xb/SVdL25nF5mehv1Q4zWU/Ji5RWSu2KSqJpwkz9Zq3QhKSYgNfl4XNKCZClKu0tRCZSEh1tC0EUJbhFL9KRJLq7unHs+NGC27FRAnkjqjqbzbaldm0qjw/Y107nnElP4DN/+xf8Pcv8/ly0YHLXtiyYWFh/CZeZsquEdAQTQbgUH5qEQzx2ob46k0gi0R/DJ979aTTfUcfthUo96TMOSMfw1NUnoIUFVImNqM8xrCcDeyrVJGUcX/t9Y+siVbeqCFrR7h0n4bjNicg5FUJMWiSA7ThyrDABTP6IVI6e+90bIV7zTfmpb/nAw7+PyctzqHetX92aq4KmccFh+6mc98XxyYc/i8bbqjekit3KfljYW7DmkBYKwSKlLFjYp6Cbvs8TgAduLjsTVEqtSxkr6wJQbqvEvDLNpXek1oiTNa4eXPIrEXXUi80Y0fqRlMvglpycfCfZRIg2w4ycJ0I2EQ7JiYy2ZExugkqq3F4XxJCEtJaCR/BjWhhlg+cGqQ3z+jSv+DfiABs1TwhDnGq1gBmecHEi2aLCxCx1Il8sWZTQa7+Iw4cPZ29YpVAn0KS39Y4G+KUyaKrOaYOJRBySdhj9Wg9cHjc6mzshSgLKb3Pfcp4gpfRwMMiu5uxzejWtBJPygia6uaiWGvjc5JJSpRxw5q/wCpqAucgsIpEwBFFCalRFndyEG/EeSCqpD0WDXNJTrEakneEVwEVPNbpu2vQjTNIOoht+vQxVQh0cujPrW0QrwAlHCK9/86vwx49+kLdjL0WT32wGteYEJ9OfwSuOvhrfufIf+OHYN2HTHFkSKCOmcKDxIH766H9CRs2UdIJD/Zvb74ItLUNJZ3gxgfptqtszSqKNYArqJ0lJmpRiiCtxvP2X38l9dal8uQqRiWYSXS7skhPxcDQb/ZyPjRDIG1XVfeQTH8Z2KI/p84gULQbTG8o8vnvB728/I/fYEdZzHHNLuOj9REg5Qj4sJEdQqdTCJy6Ob2iIw8EAbkAVkBzRsCAluL3Qgh716U/3/ACucAABeWmRYIVSN0xK3R+g8WB9UVJ1uxRBZrsPXkzApXnxXPePeGzXdqwJPQv9qJOa4XX5kAmr6L5GBPCxFYqpYob6GyFexxPDeNPLXod3/9ZD+O7Xv4fySA18chkSnhvLSnWLqVvzVdCFfK+M901uWBW7kf1YK1zAggULewsWKWXBwj4FRUdrggJZsnHZWavjAGajs6gXlyZ+HbZjGMhcR1JPsGvTALpQrldxypzT5oLDacfp8pfAVWfHpaFziElhCG4dCS0GVVLgcbu5rK8+3YS56ATqhNYV20Gr1C3+dkxHplBbfgIHleOYdYxiYn4QAaUSLsGLcX0QGTXNkz1K6KNEKzc8OIRT7JXCSYGikPVNyUhpyA6J97GUyE1lG7kwhbuPvAJOuxO+Rhc63Ec52ZBT2W67NT1BSuXhsER2La2eEqg0YaDrBisv8icI8Vh8GdlVqgFn/ko1rabT5EUNA5VoRV/sKiv8ZI8dofgCXLqX1Stkzk9UK5XDEklAMPykZlihSJvtRxlO4CWIu8JQAgmkMlFIgowgpqDYMnjvxx7CW996303XzvaqQS1NcD784J/jRy8+iXKlFqdwD+xiThiCnsTE6DA+P/kZvPLOV+P33/G7JdsW2s9Td53A5BNhqIKGDF17msTEPYHIKDoeipDGhDgMt+rBiYozeQqE7fflKkQmmkl0pCaha9OEU3RhdHgMgZPLSamNEsgbVdVduHCBk/c2i5XpnEZZXu72F0vn3E2/v/2I/NK0UCiIsfFxvm80NTbBG/CgsaOhKJljlHCpCAaDuNJ3GaHZGFy6AEG1wSX6oAvaSlW3YEMqkoZTc3O76urq4kUGUkgtJ6RW+skZSt0Iv77Q9bSdiiA6LkPnxlm5baq3SLndIFej13YDyVSCCTaauZE9QzgUgj8QYEUYKY1nopNFDfXXS7xOhEcwGO7FN/4aENMyArEq1NmN679YqW6+ujVfBV0MNd46DFzo3pAqdqME8q22kGjBwn6G5TBmYdO42SZO+w0cIV3rR1KJ8/MyWxUUWwphbWHpNYKEDlsnauQGXt12C16ongxG3X0I1kzAdkyFfDiDujvK8ff/8Xm8+e2/jCO3H8aZu8+gprYamqRmPzsjJxHW5pc2gNL8ZKML8UvlUFwpzKYm4Am48DN3/Bxed+fPQKxWMS73IyFGkKJIe8xz5H2H2Imj4h1cImMTbRCIkKLUMlmELmmsUKhpqtoRE0Qzle3hxx6E3hFHb/oKppQxfqTnDz32AP/9VvQlKJWHA5NdOR5oJmgFlga8lKyYD3o9+ZWVcsCZr9CgdMtvX/gPJCdUSCEH+uevYz45i0gyjAtzz8Gmk8pPhwd+hLHASigqU6Xfmb+nkj1SKJqfT5RsY20T3nDmP+FNd/8CXv+Sn8Gdx1+Kn33z63eEkNqt9MbNkpulxG233YYfnv8BWjNH0CocZtUmM+OL/+g5/b4lcwQ/PP99nDq1nETdbvz2ex9ExD3PJdM0J1bEDNJCChkhtfiYZoK/UqtFla0Ohw8dXvZ+Vi74DyN4yVCEUHvbDjKxUKkM+e3MahPLfkcKx2QsueJ7idC5/x33lUxV9+UvfHXL7Tr/PtCduoS+1FV+vNXvA9sFup4feff7WOmi9Tow0TuFaF8aHcmTOJg8BfS6oPTYoPe5mFyl1+b3AWT8PTI+jO4rPZhamECN0IgFbQZVqKNKaaiKxkm6+eMUkzDl9vK3X2XVawVq+EJPZZKYi8xgemEKs0HjkZ7T7+nvlahBJBpZJcHPUASRAmiFIshH12NqXdfjF//myxgaGmb1VoPcliV8yR/rkPckwrY5LGjT7HcZjUVw+cIVnHv+PF54/gV8/cf/hotzP8Ev/pdfWJV4LTvlQn+4m4nWXNDz/lA3ukIXcTxwB6dq3pjsR5W4RPxwqa7shRJRuVQ3d39MdWshFfRqyH3ferCe/aBwAfr7rbiQuJ9gnRsL+bCUUhY2BSILamtrd3szbnk88Mi78NgDj6ND7uQO/rD3JHqilxHPhFEpkD+KEZMdkIzVQNdBCadf24kPf/xPeXCdL5fX36HjsYcexwHHkWz8NUnY+bN9p9ATuYS4EuHPJjNnj9MYhEXVCA50tHO5np3j1RNoKG9Cw51NPHCJJMK4OHIWvTd60CmfhqDSlFNieb0JKn8iHylBBmJyCA+/78EdO47bmcp2M6FUHg5MduWV//D3AeyVQaUJVApEEwmzlI9en1YyGI7dKFmaFa/wnp9Cq/cgMkoG377w/5CaUVGPOlxRXgS5s/lBaZECfKhAEjFOjAxhDtWoZ1JqGD3s4UZlqHT9mYb+kUWzf1pdrm+s421fTYFxM/XbxcjNQmlXO+kX9tGPPoqqTD3KxGpDIVHAPph+Xy5WI5YJ4c8e/Rg+8PvvL9n2sDKkWkFyLo6AWGn4NgnGNtDxCanz8KgBuOED7FrBMrnt9OVajUw0k+iWm8QTDN81SZI2RSBvSlXX27st3iR76T6w3d+/F/bHJPyJqCEvp/zSOdObbLh3mL3JZvLKu8zPqLc3Y0KYZvLWSBdWlwUCcL+iKJBko8yUEnTpPhKLxeC0OdHd24MyXwXUCZUVUFDAIROO3PGIoiEajSAqR1gJV+YtX6Hc3KwiqNC5oN9dOX8VYkxedkwoBXj8qpHeetR7G+YyM+iOXARSIlyKG36HDx6vB2ea70TAVY7H3/c5/NvprxVUZpnEK23HMj80qHzfppI9UkjV+Rt4e8j4Pddna7VSXVPdStd+IRV0MRBx192/MVXsWvthhQvsfVhzSAuFYJFSFjYFuoHQihUZRu6Vjn+3B12l3IdivydlxWc/8ZeYGZxAtaMekiDxwCWYmcNEkkrmDEPapBaHHlDwL//wjzhz5kxRnyZDGl3Dtf7ZSUfEmHTwZ/tO82ePxfugCir8op+NNQNNbnz6c5/igQCVUvBAoT9noHCkER9/9MN48J2/DQxp8IlliCYjUBUz4U7PeuuQGsvVJuG++96C3cJ+bT+lQCk8HJbIrviK1WUibcgrg0oTRkfGeCKR0TJIuxIlS7MyS0re9WsPwjdZgzlcwPXIRSgZBa36UVzGC2jBIQRQiUFcZ3N+8kmjIAH63QQGuWyPyvXIqJ+eUymfpFOipMjXABEeRFrRJD85FMIh98EdH0DvVr+dS27SpHCttKtkJrkjBrWf/+Tfok0/bpBRi+RPoW0n1OrN+OtPfr6kpBRNslr9HRhrGMPczAQ8iTLI+tIwbVIfQZ3YAponOmV3Uf+m7fLlWk0pSccl3yTeUHboPOHYLOG6WVVdJBKBz+fbtjazG2V5251WttnUtFIgtyRzImiUpxX0csohPGoChcrCpnCs/hQmZ78NLaLy/uSrbul6NghvlT0xKZTF/AuRJuQn5ff4MaNGIGZsy0pQ8/2o0pkUErY4an1lK8rSN6IIqnM245OP/gWqq6sKngsyx58cncIB8cSK9zq8dqSiaf55JjWOA8IxuGU/YlIIP3XnK3P2D2h3rJ5guhrx+p53Pcxm5gReLCigZl6tVJdeT+etkAp6NWwmRXcvEcgWbo45pIXdh0VKWdh0h7KwsLDryQl7adC13fvQcKAOZ152B849cx5jA0sDVPr9m9/2n3H33Xfz4P+bT34db/ipN6JvaAFNchtPVsrtVfwvkYlhVLmBsnY3vv3Db/KgfbWbd663Bg0Gzxy8C2f7nuf0MzKbJu8nh+hCZ8NtaO5oxmRyCC231+NPPvah7KrcagMF2oY33PtGjNwIoslF2+rKrpAllQRGlQE420V866lv7Ejp3l5u23sFpfJwMMiuxwuSXXTUabJN/4gm6A9ew6Of/BsmVLcbpifIyPlJJKcUNEhlOD//DOyKCyIyrIIiD7Zyodp4gy5AgcIr85V6LaIIs0+aCx7YBQcccLKaipR/phk0XTfMe4gCUkIcqj+Cr37zizvexnezbdP5/vN3f2qZX0qxtKvGpib83jt+u6TbQ3HU6YjCJXqmQmrpmLC73bLX0+vSoQy/z1QBbTd4kutqRUrTcUPrQy8uGeET5MWnZ3ghgJQhdt0Jp1TYv2k7fbnWUkpS0MW9x1+3SDJ2MTEkuoGetLxpwnUzJcP0eiKvvV7vvu2ztzutbCPphTtRkphbkkmENF3/6yE8cslV8zPoHL+y87X46vT/RlpJcnhK7uVKpdPkwUale34fGZ8vXdfU51LqJrVVt+SFZltUVbEqMfdDKD1Vhd1mgyDZEYwElx2nYr6IhaBqGgZ7h3B14Rze9JJf5ES9/HNRf6oK6UQGdnn5uaB7RtWBck4DXkjOwpZxZM3ciVwr1BetVymZS7zmKxQLhRnkwlSe5fYv9Hr2Ol3lfQWPzxZVsZav2/6DNc62UAgWKWVh32KvDbq2cx8o5vjJrz+Bp77yHBoDLThx/CRmIpM8mOs+24fvfPUH0J0qvOVuBPwBNFe3YlgbwqXx5yAnbXDILo6jL28ow8PvfRBHjhzGB9/3oXURd/nS6DqhGuFwCP1jlwwz0qZmSD5AOpjE773jd4pOOgoNFGjA8vTZH+IrX/kqPv3o41iYCEKCzdjW+jI89MgDrJDaLULKwvpMgEntYpZdkaplM4qIXFUelTcUA5m3ttxRV5IkttySklZvB67rPbg4/wJURUcTmjCJYcxgDEdwmic6RF5UoBpTGOXnlI42iwku4SMyio2okWHfKPP19Ehr3HY44JKI6PKgZ6iXVwlvpYE09RPDkQHYgwHU2euLpl3NLExgONCP06dPl3R7ZmZmIGriioI90w/MsDrOMbSmf7rE76urK95eNwtjUjiOVI+I7qmrcKpuHJdewkEWpsn5oHKdSapoOgzEyGct15h5exQIG1VK0ndTKib9I0+aBx/9DV4wKRURlg9SZDUdbNjXE5vtTivbaHrhRtLPNoNcwmO1srBChMfKsjBjjGSTbWisaYYz5ACiQFKNL5XwCQITpkRNmXulaSqcHiffr1oONeHHT/0Y1YIfbp8LiqJwyp3Gyu3FbZBFLvsjFRItmM1HF5Ydo2K+iCv2HeBydCWswSv7YZdtBc/F+MURZFIZqKIKKS991gTdZ+uFNvOgMiGVWyq7FaVkvkKxWJjBciyV6pql+zR2K6aCLgRS2jd3lF4Va8GChb0Pi5SysC+x1wZd27kPRszxk/DFK9HkrEAiGse/P/0vCNgqUS01ok5yIJaIIhVLIR1MIu7OIOmfxquP/SwyjRmMx4dQ3VnG+0wDBPqOb37+iQ0Rd8Wk0YStyqRpm+6//638jwY0JPcmssoiovYu6Hx/9LGP4Ctf+Qo+/dHHsTAZZvUPKYbK6/x48H3vwn333behc7iS7GpeNoilwWop/ZaoXT/77LPsIUWmrqSAGQsNoUKpZ1KClDFEL9HEwy6Yk3oiosoxhgFWrtgEG5r1g+jCC0xMkccUvd4B1wq/NEXIsPeaRya1YpJTK3dLMr9VA+zNgEjuNt9BpMr0FX5h5qQxqSVQWV4Fu6+ay4BLQUSaqKqq4nNI6gg63yk9gZROxsZE9oiG0oLavkBeMy4mqOj19L5SgPrVSDCK/slBVKsNy6PtFzNpdEHntkXbEU2F4Xa4ik5Kt8uXayNKyebba7dESG22ZPg9b38X9jPW401E12yFqxJD5/vXVMBsNL1wq95jGyE8zLIwg0yl3whrEh7ZsrC8ss5jLYbvZbvvEOaiM6gTm5d9nqKrxN3w91Df0tHSbrSX//EuXDp3GfOT02hAG2TZSDCm/t1Mssv9nDlMw+f1LSOAi/ki5iMUCiEZTrFBuEYqS7HwtKve3wRBFBFLR+F3rlQ/8oKHaih0+TiSisvpKHrP3ahSspBCMddXtDAM5Vl+6f5qKuh8lCpF14IFC/sPFillYdPIrWPfaey1Qdd27gOVQrDfgq3CWB1PdMOfqUKtrRGyKCMaiYJCyKiMjkwwfahEIhJjIuve469FR9lRTPdM4I8e+SCPxsJbJO7yFU/bqe7gBMGyMuw17Gbb3uuKvlc0vR7Odmd28E4rz9/83Pdw6YXLG1YlrjAszfUh69h+v6X8Utmuq12oS7Qi6r2MnshlTv0jJdQ0Rvk7zdKp7PsXvUZcuhcJxKDqRumXCg1RBOGCl8urcudZ9HfyY2MST88glJmHbjPKR3ai7efu8/jAJGrrajBFk7EDdTta4kzf3+BuhfO4kyeYVJ5DagjTU45UDDRpJIKa2tRW/ZDWAqkjFCmDhBJHGgkqiuO0RDpXJlRdRVpPIKzPww4XVDnD7ytF/0DXQt+NXrjVciakMloaKS2xSCAax4i2h8IgiCijthSLx4pOStcbOrAZpWSugqkUZv0bLRkmVR2VguxXFPMmonO/5L8W574oo6fxW7/2IB7/u78oeu1uNL2w1NeaQXioCAaDfN0vhBZQjjD/jZPxnE7YbHRNCQUJj2xZWB5pYvpeIgRkKHk4Q32wJ3vd0JVDC3fE6foqvUiKcTTdVsP+TZW+KiT9EwiGZ7k/Nz0uTXUreVx6nT4khCgkv86vz1UdruaLmIuxkTEm4NNaCm6Pu+j1Qb+v9lcjFgrDqTrYW8uEklSYADM9nmiRg7opb2D1ctWNKCULKRSLhxksKc/offml++tVQU9HJ0uSomthf8AaZ1vIhyVNsLAp0GCBVox3S92ymUHXXkOxfSBvjirJGIgHM7OwKU6UiVVIJJPIZBSOPDZVGKTmiCaiPGBQwwahRaCB/KWnr+H60/2oXmVQYL6WVmmJGLCw+217ryFf0UcDVhqI0go2PW41ht5U5X3i8T/HP37zS/jCv32OH+n5dhImuXHkYr8Hh2wnYEs5EZAq0TvVhcn5CbjhZ8UTqWRockLG5Rmk+OfcraDfxxCBDIlL9ahkL4g5yIJBSBmvz3nX4gMRVgv6NCDpPMkqNQrts3+uhh/pebHY9VKV75hth7zCjp/sxB133Y7TLznFj/Scfm+2qZG+sZIqumiiXNdcixH0wgkvXIJ3GSFFoOf0eyc8/Lr65tqSloJHYzGOqY8qYWTUNBy6m5P23PDyY43eiFl9AopOXliOxaCIwiCi6P533Lct22WSxw8/9iD0jji6U5fQl7rKj/T8occe4L9v17HZaOw79UX7tc9eujaWExukiqGEOlKqVMYb0SGdQJt0FIfkUxzGQB5Tha7d3GttPdiJa43UmSPjw+i+0gMxLsMhObmPlQQZgiIgHo3zYptBIy0nPFaUheW0BdNsPxWIwG33YkC7yr6UoiYb14zgZWUhkTPj0WFcCZ7FBz70fiZpyFfq7sOvRF/mKvrC14CMCLfg4+udHuk5/Z7+Tq8jQiy/fROpT9dZMdDeJGMpVoTOqOM42ty56nE60X4bonIIsk9CXInycaCFx6meOQiayMpk8s8isZXkktDUUtyXazNKSWN/hlcc36Q/jLHMIBNrJkh5VlVfuew6NO/VS9evY/H6jS/7Hno+EO7mv+9E6qyFvQdrnG2hEKzWYGFTYF+AeHxXykD24qBru/bB8FuIZ2v4J5KjqBTqWfFEEcXJRHJZIgqRU1R2RCAjciK0TARngtCmxX1N3N1qbXsvwlT07QS5aarySlGql0+smWUklCappA0DaRfc7ENCIEVCABVMSiV1GlQvDrgBeBFAEnHEEYNX8IOcidJIIaIHC+/X4nvD+gIyQgY2h63kg7FC+0ywe4zVya2SiRtBsUS1XHKz2Cp/qcDKgLYGPodUdrkajHMdRVNbU8kmUMlkEi7ZhYQWh01nB7Js2Z4Jv1CONG2tHmLVFE12SbG41dCBDZPH3/oSvvC1z/HjdpPHmyHC9nOfXcibyCjh/wFckQAabG0rPH1sogMtnoMIXjIUrLn7vdn0wlJda2Y/VG9vRkwMc5ul8cacPmm8gPoAQWb1dywSZSqHCA+TcMklV/NJEwJ5R/1U52uhuJNolA/AI3kxIvShW7+EYakbE54bSNdGcMepMzhRdgc+/Icf4feRUpTU5QflE2jwNWNKHka/fhWD2nV+pOf0+w75OL+uqWOlb1lWERRd3Jc8mNdmUJmD5DeUR6uB/q76UqhoCaDjeDt0j4qYHoZQpiJOiyAOCTaPBJvLBlfAserCxmaUklmFYnQi+zvyt3r50XvR2XkUc55x9GtX0J2+iDFPH7y3S0UJ6aXr9wHj+k1fRF/aeO96iGxqN9Qn7sdr2sLa2M99toXSwdLOWdgUqCOhEoxSTCDXwlYGXXvFWLjYPhgTZTnHQyCT9RAgaKqxupgPei0NXInQMjv5dDJD9rjr8hTYjqSmmwW72bb3IvZaKch2lcoa6UIKT3oyWoavO1q9p/IPL8owjXE0oBX1aGPD82b9EJMEXEwlCGjRD2IYfYjqIVax1KOF3xPXI6hE3TLTXSK4ZjGJlJBAg9gCNBmD7VK2r4LlwQLgqnAiHY8ay/g7VOK8mUS17fBDWguTQ9M4Ip3CuDqEqB5GFeo4QdFEWk/xeSPS6oh0GyaGC08+twtETlA7LBbFTu2lFYcxpPcgoofg05dPSktRSldsO3biXrre2Pf93GcX8iYixbMaFuCXl3zFlsMobaPSqIEL3cuu3WLXGh0jM5wi/xiV8loz+6Fj9acwPf+EUQpmq8SkbRThzAL8i95pvMCmKIin4nCWG4RL4bKwlWWdU+EJuFJeNJSR95GOpJKEzSfh8LGDHBSQu79mX0fJxk99+Vn27UxlUqgVmliByB2jLkAWZENpZXNgPjSNMy+/Y8O+iCkliQllCN6AB6849qrsdhQ7F/Tz4cOHUX7cjdELkzhwpB1OuxP+Rg/CYzFUzgRw9dpVtJcdwpHOI6u29c14NZn78we/94d44ekfIzgT4nGkWVJvd9pQ3VSN4/ccxkc+8eE1+4D1Xr9Fk6gXE6f3U5q2hfVhP/fZFkoHi5SysO+wVyc427EP5kSZYHgIrO8SNTt1uonTYIc/iyc2S2ah+424s7D7yI+JXgt7ldzMJdZyfVqmw1OQUjbmZ0ghRdcAleIROTGI61ySV4UGXMOL8GMOflTwK8lrikpNmnAACTmCsLaAtJZmEosUU2PCQLY8hcot6LFKrEM16qF7FNTWNZb8WttLZGKxRDU6F6Y3WW572S4/pNVA35sOZ+B1+NCR6URInceo1g+NFEhMUCrcn9J5a5RaIdlETAeHcoyQtxfUFtJqyoipV9XF7SAN3tIx4FxAAWgRDiEmRtCHy2hVaiEpRnw7HbPt9mHbK7hZY99zvYmcNhf3Td+78C3Upw5gVpgx/I0kCV4XESTOpdK2Itdu7rVGKalLnlSJLLlAqWpkYk3KHPJvK+W1ZvZDZikYKcBioQja3IcxGO9BPBNmNbjpl5XRkjh86DRuRHpXkKvF/M1o/6rExmxYgtPvYNJGKnCdmseL+p4GfzOmZ6cgqZQB7IQj5/WkTI9GIwhJQTRUNePsM+c4nGWjvoid/oOoC7Wz4mgiOLbmuWg73II/y/m83v4+NKmNGE2PofH2etzWfhS2CV/Bfds2paQgcLhHFdy8sGl62lFvJIk6ZNtyom87rt8l38ppPkeH7aeyf6Nrg8pVG2+r3tNp2hYsWNgaLFLKwr7DZiKjSz3B2a59MGJ43UjHU6y0MAkqipARJZGVUrkgw8tcwomJrMV0Fxrw5JqF7jfizsLu42ZQJeYSa+TTQpMiNWSUu9pcHvSnrkGGAzFkmHQiZUy90II2/QiG0culW4dwEr24gjIEUYdm9nLj68Vpg8ddg/HwELweD3+fI+nAAeFY1pvKUFdpXAKouxXcdc9dGNC6tnytraUc2Wtkopmo1m47zIlUYyPjSMaSy4zOG5sb2FdqJxKZaJVW0mV4vF42yaaSTL9YwX0tGddLVDpHZdN8plX4vX5Iqo3fVwqDejr2ol1EMh7n0j3uzVm5YUwSCeJi1D2pSmgCXlFRjq9+80vs2bOVRFQLuwu6Nv783X+BsdEx7pvklAMBcclYmu770WgUUTnK/erB5vbs30iZQ0RI7rVrfN6n+PMoNIUIm3rRKHOk9qxEFfaqIhPrxqYm/N47frsk+5XfD1Hbvff46xaJsi7Y6F6hxNGdPMdEMKXOpcQEbj94pCi5mk8CXe/twWxkBn6xCpJHyIYlFLsWmMTq7eFryS47YFtMWCXCJRf0XIYdIimEZAdGFy0gioXBFFMEnT171jgXvcvPhYl0LLXiXOR+HqfCjo2hsbGRx3omeVOK0AGz1JLCcW5rOAM0FF442O5U66VS81SRUB73YijP5J5N07ZgwcLWYZFSFjYFuiHY7fZduzFsNDJ6L0bOFtsHMsO81nWdvSRIek6GtzSx9bjcbHYOZTHjmAY0SMLn8ho/56W7kNSa19nXcY72InF3q7btvYSbQZVIg3hBF5l4+P7F7yCQrIJPKEMCKdhEJxRBYXKCVoSJgKJriryfyL+nVT+CKEKYxhgb54axgBmMs/8Urez73T5UNJThtjtO4Ih4G08QxsbGMdg3iEwqkyVcyEPqwMF2NDZuTZmw3vKG1chESnLaDTKRtq3uZBWe+7dn4Eh4OJHKIy6Vn2kxFQNdg0i5YrjtF4+WPJGJJq6qoCAWjbJBPVVFq0z6U+LiItEvADbJUNLR61RXpiQG9XTc3//QByCkRcxjGnVoMaqI+K/0w6IBtC5AFInqBBakabS1tzMhtVcI4N3Cfu+zqa0PRwZgD5ah2l6FoLA8SZBISAfcSGeSSMhx+AOBVa/dpc8LoNZWx755fckuJuVNhQ4RRM6UC0P+Pk4vLAUK9UN0jurLGvlfbhkbgX6+kenGRz7xp6u26VzSJpFI4L///DtxyHli3edf0ASEIxGIYQ/K/eWcqJlIJKHlBAdQKiCNuSghLB6OIRVOrKt/zFcE5Z6LOvvKJEmyXWgQ2zCzMIHhQP+Kc0FkkNfrzS4urlBm9eUos7aolCxU8m36/uViu0u+je+dXkea9spyVQv7E/u9z7ZQGliklIVNgTqSigoqZdkdbDQyei9GzhbbByOG9xqCkTnUO5swExlDg70Vsk2GE05OqqEJsaKneSJFkn4Cpbt05qS7lFWXQVwnobBXibtbsW3vJex3VaJJ4jz77DOoijdA0uzwCmVcAiVJIqAJ7BtCZSNOuJkQaEIH5jCV9YYiAsuHMv4sIqzIN4o8pl75ppfhX/79n3iyQKvhTDA7jqCpqZH/sSecovCkJvd4bPZa22h5Q0EyUQdiM6RO2iUyUdcRxCzseoJLGe053kmULLWAWaTIdHwHzE/pvNn9NiSCCbgkQ+Umy+KimsRQuGXLhrhtx+Csd2yodG+9Pip0XqNXMwg4y5FS01hIzCKA8sVtWHzd4v+oTRE56m52IuAL7CkCeLew3/tsmmS3+Q4iVa4jEUoa3ka5zYXVeyrsNjsE2Y5wKMSKwmLXrvl58YCCy5MvwKV6US+0LflTkom0ksCCPoPoTBI/+clPcPfdd+/4ogadN1p4M0E/U9ncRto0E0DSkoXBekDJe+MT4zgoUh8qQJZt8PloO8iD01zzW/o8ItD7xno3da1lz22Zjng4yp9FZu8mzJLDyvIq2H3VuHDhwjLCpVDb3qhX014v+Ta+t3nHv9fC7mG/99kWSgMrfc/CpkA3wkgksmvJCRuNjF7rZr0bSR/F9sHwXngVou55zKnTSDljyLiMZBybTQallie0KFRZQYW3smC6C5Fxp15xDEdf0bEsScU0T8/dz71M3N2KbXuvoVDi0U7E0G8VNFB/7+88gv/5qw/AlnYipC+gCvXs0SPogKpo7N1TIzbCxgVTZFCrYwqj/IxK9MYwYCQy6d3oxxX04yr7TNVU1uADf/y+LEFRKLWIkE9gbPZayy9vyI+P5/IGHyXpGcQVIT8+3YQjsBScsJNkIpGDk1fm8IbTP4/O48eySU43KO1Ku8LPOzuP4WdP/zwmr8xvKcVxvWhor8c0Rvn4kqdUf6YLfcoVDCrd/EjP6ff0d3pdY3vxBRAT9FoiKd/zrofxlp99G97+C7/Oj/Scfp/fr5jqhBpfPdxuN1wpHxYwhSmMsb+ZMTnmVsvPp/UxzOvTwLy8pwjg3cR+77NpUt7gbsGx48dw8Hg7p6wltTiXb9I/Xdbh8brh9XnhklwYHRnLvjeRjrN3UW474Em+qwVzwgQanG2oszUzwZn7eWX+MhwKHENNshnv/s2HSnLssosaBfqhQthMP7TZ7yAij4jwvE9b/O7l30+vy1opbOrctuLY8aNLiXpaGDEtwo/0nH5Pf290t65IQV6rbW9XYu1upVovfa97nd/rxkj/3krTtnDr9dkWSgNLKWVhU6COJBaLwePx7NqgeKsy5hWlMLrIq3o7mfSx2j7c86Y7OfHl+R/9BN//5pOYi06iSqyFt8YPmyJCSwApNYE5fYoJKSKyqDQo11OAsFqSCqmpiLwqZVLTfsNeaNt7CftRlWiSOH1PD8MV9cOtyxjVBrhMKzsIEgxBjkf3LSbkZdhDhIyFU4hz4hr9TCVyGRgltE54AI+K//SWN65YzebUovf+ES7+6Cy0GRFaMscg1ilArNZw9JUdm7rWNlPeULA8WACcfjtS4XQ2fW+nlJK5hseFyndyj8lOrIbTd/vEAOKuHnRFz6IMlWhE+7K0U1LQzamTGFUHIHp1uHF4Vd+tJTXbFO9rrqcXqQ0/+dDjaFzsm03VRa46QXaICGszaMcxxBDBOG5A1Y3AC5oUU99N6r06oRlDsR5UNryqZMdnP2E/99lLvkuG8pEUUC87/Qp0dV1DpdyWVcqZIJUN7avZu+Rfu+bn+RIVhoeRowbgplZYBVRhq8b8yBT3MWfOnNmXVgsb/Y4H/uuv4+q5Lsz2TXDp3FqY0SbY02mj5c35nlp0bgMnA0UDHgp5++1U294t/0j+3iJpo6X8Xgu7i/3cZ1soHSxSysK+xmZlzJuZPOzWPlDiCw1gnn/+efzzF/8Vo/3jcOgygpEFzEcW4PP6UOmrQr/StYKMo89aNUmFJCPWDcHCKiiWeLTTMfQbAU2wRs5N4nrvddQmWyDrtqzShPygGCYpIwholw9jQLmOmB7mX9mNWdwidH6vLqnwlLvw+v/yanz0Ex8uvJ+6jgxSWEAQaSayjBQ3O+yoQNmmy9I2U97w8c98bM+Qiebk7JDtBCs1TRIqv3xnJ43XqW+kyU1DeROiiST8agUkQYKuk0uXBpFqPAXAq5dBk1T4ytz8ejJpp8llIXN5Q82WLGLW61o0610yCSbkTlr7RntBRdpRhNnTzCwbzS8njCDIbfmrX/hnfOD3P1CS42NhZ1BoUm6U8HchFJlDmbxkeL4EI1V3Lj694to1yQUzkS73PcUupSqxHv/wuS+WhJTaiUWNjX7HXXfdhUCgDHH/FILhWQSkyhVknQlDha7Dv4lS2WJETyGfpmKEC5eNp9MlV5Tsln8kfy+H8hRGoYWLveZbacGChe2BRUpZuOWQP3ngm56qZletCk0e1lP+tx11/cVic2nb7rnnHv6X/13Fvnu3klQs3HwopblqKUDbGB5MIJNU4BTd3O6JmE0jxaUYRDrRJJ+hk6+Hjib5APsd6eUpTC5MsCmwXXTCJslwB9x4yb134Xfe+2BBBWX2Wrucwp2NLwMaCw+mpy9v/FrLV1KsBTONi7CCTHTsPJlI2//ss8+iq6sLvcmBrOqHQhko1IEm4IW+u9Sr4dSm5yKzEGIyDpV3YjDUi6F0D6viqI2Qiw+1DQqLF1UBE6MZDE7dwFt/9tfgC3jQ2NGwTFFbyCS4EHJNgjs7O7OTVuqXlZSKI0InRvS+rKcZKbdM43VWbmESKTGJg9IJdI29kO3PLexPFJqUGyX8r+ak0LFwmJNCyRDbREZLYSjaW/Dapc+jfjkeSyxLeVsNNtGG8RuTJSGBd2JRYzPf4fDb4M2UYyDeDbsygSrUsT8n9Tdkk5DW0qyQIkLqzMG7IR1Kb3jbNkv0kAE0lfrSYsT4wCSnklJaacOBupKp+HfLP3Lpe+PZEj5qh0ZC41XEY/Fl94z2ugNour3wPcOCBQv7GxYpZWFTYPLG5dr1G8NmSvB48nB+ChV6La5e7ioaS75Wwsh6k7C2G/nEVTEia7eSVPY79krb3msolbnqdoO2revCdSDmgk2wLbV7QYZNt7PqiVL2dFMBRY86UOmrhFty4fSdp5BSUsi0hvHo//rIujw7il1r+SqgzVxrWy1vyCUTe/r7ULFQjvnUApo6GkpOJuaas9cl2pepPtJxikK/zqEOVHpMaWC5KPVqOO1zJBJGQGvEi/NPw6V7YYMdflQggRg8rFOqxDiG2G+sXK+BpIgQel1Q/FQG6lqmqN2MSTCp2cxJayqTgKzLXGLahqOI6EH2NCtUvtcot/P2i5qh3CovL8etjP3cZxealBPoerj3+OuWTc65lFhLw1Vvw5899gcFr116Xtdag94XBwDRVEYXBxlt07hHorLlEpHAO7Gosd7vINXRI+9+H2YG5hGMRXHS91JOJyTSKp1OUaQxG6fX1NWgs+U4k+Y3Ir2bKivcDNFT316L973n/VkV/yHHCbjSDrjtFSVX8Zey1HK1MYPxvY/z99JiEJGxXHoqNaJeciy7Z1y93oXb2o9kP8vC/sR+7rMtlA4WKWVhU6COJDf9ZTewWglevC+Oj7/7U2i+vR5/8rEPLbt5/cPnvsQqimBssGgsudPvwJHOI0W9Tei7yT+GSoTIxHKtJKzdQKFJUjEvAyvRZG+17b2OYkToXgBdm1Oj02gXO3lCYqJKrMO8OoU6oYXJByKjTGiCCrvshKJH+NqYTI3iof/5ABtP73Zq0VrlDYWQS+jsFpmYb86e8HVx/2omT5lR6JQy+vS1J3Hv8ddmt2knjNdp+wLeMlwPXkSN3oQgZlCNBsxjCjVogBcBDKGbUwLpZ52YS1LVJahEU8Vw7zCbE89cmmTfvrH+8Q2o2YzyRII5aSVFndleab+pfM+PckNBBQUyZIiiwMmRVhnLzdVn507Kc1HIf20o2o+HP2koNostknVduobZ8AyqxTBEWcyqfwoRVJT81tHSjkkMlZwELnU/tNZ35Krk72x4GZ5aeALB0Fz2/dT3i7oERctgYX4BerO+5fLmjRA944lhOMICUj3+pQUOHUjMG0E361Xxb/b4bnep5XoXbo3vrcHUxQlcG7oCVySAgK1AMpsGtFccgm0yYKn79zn2e59toTSwNN8WNgVOKwqFdi05Ib8Ej27W9LuJ4Bh+cPk7+MH576Lv+gC+8cXv4tUveS1efPHFLCHz5Ld+CDFug1v2LovmJdBz+r0SUdHd1Q2nzbksYYQe6bPufelr8Mw/nEeoO4Vr57tx9UoXgnQ8CiRh7cYxyk1SoZ+DwSCrws49fx4XXrjEj/Scfk9/364klZsBu922LWwOZoKmzWZDIhGHJMmsNqCSJ4JfLEdSSCCsL/BzIec/7ht0jRUDM7HJDU1CiqUWFUq6JGz0WltKl4qv6/WF0rhywT5zOwDTnL3aW8fPG5sbeQKcD1JPqWGwImQnUxzpOMzOzMGj+5dM7Cn+nTRSQhn7Npk/s/+VbrQVSm0kBUYynEI4HObJ2/D5CURDsU2p2cx0S5tshyoqSOspow/S5nFDu4YbuMaKKXqkpMKoYPTZVMJFnuy02nyrY7/32eakfDo6WfQ11AbnE3Novr12Rd9E7YjUP0R+iP0e3F39KsguEWk9CUEREI/GEY1ElxHxhLSa5AU4m9O2o0mO25UYt9HvMBWt1CfR7+8+/Er0K1cxHhlBrdKCA8JxtIlHcVA8iZpEM1688CKuBM/hAx96/6a3tVgyaz7o77YGHekxPdtnGjsCuCocy/hE6nOob81NKN1o6mepU62X2uTj3CaJsD9oP86P9JwWbunv9Drze1N1QcQWEhxAka/miysxyH4RR44dQa23bsX+W9hf2O99toXSwCKlLGwK1JEkEold61ByBxcEkvw+dfUJXKPEmlgDDgjH0CYewTHbHfCO1uBP/ufH+Ab4wx/+EJmwCnuOJLgQ7JIzO+kwJw8cMf/u9+EDv/5BYNSJensLPKIXHtEHISaxwura1WtQNaMcg7Zt+Nwkb2spJt+5RFnu81yDTdqWa1ev87bRNtK2uoX8bb7OrzP381bHbrdtC+tHoYH4f3nD/Ygmooiloqh3NmFONyZ6NPBtl49gXpjGhD6cJat4oiYAkUwIakViXQPuYma2ucT4N57/dzzxwrf5kZ7T7802tdFrzSAuRtb12tUInZ1s2/nm7LQqShPgtLJyv8kz5/pI146mOJKKYHh4CDVCI6ujKlGbfSTk/pxNa1xMY0wkkqyyHR0e4z81utowOja6oe83VU7mpJXI0MqySkzqIxjUryOOKBpxgJP4WnCIH+l5TI1gQLmGCW0Yp192ylIK3AR99hIZ4FgkA5YT0PF0HD3zV+E/aV/RNxVaoKO/v+rk6zEtjSOJBASI0BQgFolyj2dM8qOQfRIrwkkZWmoSeC8gV9FKx+25nh9x+MJB/zHAprGPW1yP8iNVfjf5W3Gi7Aw+/Icf2XTb2gjRUx6oQL1rpeLW7rEVVdwWIiWpauCggwigkwYB9NDjWQJovWWQDz/2IPSOOLpTl9CXusqP9Pyhxx7gv6+mqstXyeaWpaLIwi19XmV5Fe489lLoHhUxLYyYFuFHet7R2YZjx49BWvTPy91/C/sP+73PtlAaWOV7Fm6KwQXVoIvzDtgyNgSVYNYrRpIluB1uSHM2BC8l8L7vfQCyuPIGXwjmpEM6pODy5ct48J2/A3nUi+nEJBrVA4jYollZPCusRA9S4RQuX7wMm2xDMp5i/4df+6V34Kd/7nVb8pnKl0ELusjpe8HIPHxeP6fv6aKelUXThI5KkkjtpYQ12HQHYrE4NGXJdNOU9RNJR6+j/bRKQSzsFxQr36Vr5ZJ8GaPRQTTYWpC2JRHOLLBSShQkHJCPIawtYEy7AVVXmG3ICEk0ttTh0b/+1IavUdPMdpkXhti4zGQ4HSP/pGucqEUGxhstu8oqKS5NoiZ3FT0PpLTYCUJnM+bsdERplbv7Wjfi4Sj3r7mlfJFIBP2hblaC7ESKI6lmBY3oQUpI1DiVkR7JWNxMvKOf80HbpWQU6IKGRNQYVNM9htpSPBXnn9dCfnmiadLcPN+CF+Z+gnZ0sqdVAkQi0N1MJCqBX1uGKsS0KIZs1/B3H/7LEhwZC7sBkwyg+zxZDFy/0YPpiRncGLiBjJqC2+7BhesyfvS9H+GBR96Ft771Pi43K2aw31jRjMr6bmjzGWQygKqo0DIalHQGvoCXS/b8fv+GlaH7DWYpG5mH5yZdkjKT+urAos8dmZwbhJ0ZHCAgliElZB1uXOjdkufmevyuTp8+jfve+F9x2F6zYvupbJNN6HPkUmYJMG3vRlM/1+pbt1pqaapk1w59qMPAhW4+LtT+xgYmcLjqFGqr6ljTl7WaWCXQo5QJrRYsWNhZWKSUhX2HpQmPMbgYmx/B3EQQdVoTbHDCISwJAImEiStxhJJpHDl2GMGxCHxOP6/WL6XZ6Dk3tqWbG02Y5sOziE3N4w/+55+wOqrO1syDOEr0gqKzLF6SRXi8Xn5PJpFBPByDz+uDx+5jLeJccgJCn3uFQeV6b/a5ZsG0OtQhn+CJnRT2oRoBzOvTSPon2Sw405/Jfo/sEbGwEIGUtmVLToya/sV4cQXZ7U+ocdSX+a2bu4U9Dxqokuz7Ix98FJHLxkpsLqgNV5fVYD4dRDgTRJOtHWO2G4hnwqgU6ploCEgV/C+uRjAljqDqcA2e/Mn3NkXK0vdRKtKTX38CvlgFAvJKL4ysf1J4Dk9eeQL3vOnODV1rK9OlmpetPpOyohRJepv1Jilmzk6r3LTaHQ6FMDoyhlgslg2ZEN0CHnz0Nziu3YxAL2V/NDMzA7tgQ1pP5PSLxjbn/myCtodK+oKZGTYfty84kBFSCF+axbHWE2hoaMB4fBgHHUc3bBJME+Y3v+1XuAzcLXqxoM1gAdNMmFEqmAdeQ+0CDSnaXlL9VR6yUvduEuQvOhHp+czzP0YgXYVjrjvg95LvpXEtJCfjeOyBx/HZT/wlvvXUN4r62eUm+GVCaVRLdRAhQ/BoOH6yk4lRMvAudfpmqVHMOyo/ACejZdDfPYCatmZWbZJ5PC0eUN+TyqQQTUaYuMtd0JQcIt9vtsNzcy2ih9TuuYpb0+CeVJlHThxC95VeuFxOHG02zNc5vAMSnnvuuQ2nfm5kP/L9I9dzT8hXya4G89h2fqJzWZ9Ln2yqooqh1AmtFixY2FlYpJSFTYFuRh6PZ1cGMvnlMk9e/i5a1WNwEFGUB1EQ4QARSAK6rl6DS/TAgwBmtHFUqfUFByJepw8Om4Nj4q9HL+OVttdidG4QtXIjmzTSRIHBgwKZia9YNLpIggFOwYN4cilJh260dtmGdsdhTF0cx2/8999kmTKtCq2V2Jcvg6bVIyoRJPUTeV8RGrDcLNhcFbs8fBlCwoVarQVRPYxZbZK/y/xOeiTzZ28mgGl1HDW64alyq2M327aFwqCJwZe+9GV8+tHHEZ6OMGkhJxxocLYicSCD5uamZefrWMsJXI1cRViYRzQdRov3INKOFCaSg8ioGe4/KGFNdAGHOo7go5/fXCCBOUC/457b8dSXn0WTs4A5a55/0lxoCmdefsfWV9v7c1bbO9aXYLWetr0dqaKrmbPTO2lSSP9yV8NfnInhn/7hX/C//vgz60pR3Sqqq6uhicaChKJniKbnhDtTkcA/c0IjmIQaRh+ccKNRP8D9Pt1bdF2DO+FkFVzQPYOTP38c010bMwnOXXTAgBtHxNtBFQ10DNJIYR6TmMII6tBi3EsEBxOrSizJ7eDMmTO41bGf++x8xedB+Ti+/OwX0Jo6inKxCmpSRVSJwuMjYlKAU3ajQ+7EzOAEfuanfhYtta047ChssL88wa8L8VgMiUgCciqD5oNNJU/f3I3U5Te/7T/j//7j1zBWQEHblxhgywKHz87K8TrBjrnILKCg4IJmMhND97UeLnHs69s+VU6hoJBiiluymnDNeHBA6CyouP2XL/6fkoVsbCblupBKdjWYiici5rcS6GFhf2E/99kWSgeLlLKwKVBH4vP5duW7zZs3gX1akgKTTauBYrYzUQWKrsCWdmAw04N0XEWlWLtsIKJmVEykRzGPGST1BJy6F6HhKKajM6hyt0CUaRJIJT9LoMmJQvp4+p7F0kBVXbq5MpElyjzYuDbUhdiFBO48Vs4y5bUS+/Jl0KQQIa8rk5DKneyOhcM8+KSknmpPHaLTKYiagh71Ivx6ORrRvqwchTx15tRJjAuDsIk2zA7PW1LoXW7bFpavxBLIB+6//ee3wxXyo05oRgCN6FEvoUavQyamoOdSL3qu9qK2oQbNrU1MdtBKcnegC3VogmbXMKj2wOl0wOV1wa7LcLldONbyClYJlt/m3tAgvRBp09XVhZSaxnRyDNUOYxU7vxTENBZuDLTg7DPncP/9b93wsdlsWUXua1dr2/mqzM2mihaLuV/xusXHi5cuYDwzjhOBM8tSVEsZgS5JEmxeCWLQUEnFEOVJThJx2OBgAoBMxympkQipCtTw70b1fr7/SBmZjcmdUSdqHQ2oVZv4cwPkHcNqtpZl5vekTMlXs5mLDsGLSTg1L56bfB66qnMCmLlwUIk6Tv+bxSR7S2WQhqarkBI2vPC0YWBs9dn7s8/O94MiXB45D1fcj3Kpmp9nF74iUXh9dN83znW1ox69N+YwpU3jcFvx78hP8OtJXMbf/9vf7FuD/LVSl3/zzQ+wT9xLb7t7mdKGjoPX64UcsyEdySAZS2JenIWk2Hh8mA8iqV02Tzb0xnaotKqcoopbHQhPxQoqbu9+4xmj5C3nGKwGs+RvI33Gase7UP9cTCW7GmhxhRaa1nPPWG+gh4W9jf3aZ1soLSxSysKmQDe1hYUFlJeX7/hNYWnCk8C14cu8el1wG3mVm9xpdcM/SXQhlUhhQLmOA55jmLKPYzqTRiWMkh4a6A9q3bBrLtSgCeMYRJvzCFyiG5IqZ0vdiHgir6hlfiOaYKzy5KiNaRU9raXh9hiDP1IyUdRtjb0Fs5PzXDe/zPiRFU6Ty+r+82XQYyNjvB+FYJoF0+CTPQjSOgRNQDmq4RfKlhRei5AEGeWoMiTQQhxTY9OWFHqX2/atikIrsXTtdA9cx8TQBNrVTpSL1XyN3tCvMzHsEfz8OjpHRP6Ex6MYiA2ymTatbJulK2pIQKPUipe+9KXGZF6UkcwkDYLgto2VrhQibUjtE0qlIbvsGI70YTQ+hCq1gUtkzdI0enC6nKioLsORzlPo67uyZTKh0Gr7WseUfOeO3H4IP/fLb2KFzWqqzHwU66M2GnO/bBsBLkWeDI3hpSdfviLBcDN+KBvBG9/8M/juX/8QaSQxh0nUoBFBzKEOzahCPeYxzd5Odjj5Zxc8bDZu9v2SJPJiw3R0DE6PDWOXZvC7n/z/IPw3oah3TK4yhc7P0LkJjI2OQQ0LqFfa4YBhVE33L0pPo+0i03Mqvu7DJdTrbXzPy6hpTAyM7cs+ez2E6kZJ1/3YZxfyg7rYfw7twokVC1+qokBRFMjyEoHSJLfj8o2f4JWrkFK54GMjYc+0l42WBxci8XIRSizAlyznewMRSceOH132uVT6RkqjeqkVCSUOTdDhKOIxStesx+WGLNnYAy8WjpZclXPmZXesUNzS5le2lWFukFI3lytuT730JCYHpjf0HRspeVvreBfqn1dTya6leFrPPaNYCbSF/YX92mdbKC0sUsrCpjuUnfD9KAa6eX3iPZ9GIp6CLiylNxBZlNLMRAdaiaYV8AjiiEAIC0iqSfYWmBTHUOdoAuzARGoQaSWNqBpELVrhk8q4REJURDat5fIVQWUSh1YsA0Il5vQJ1AmtOQck50dd48FjOBjBhDYCf8aHH599mpVZdS5jsEFeKsYWrmH8mCODptcnYylOzisEWkWLx+K872ToHFdjqNGaUGdv4n1OaXFoi6UpnCIlCHCILtSJLZhUhzAfnmIJ9XZhs340t3rbvtVQaCU2nUnjSz/+AsSYDVVoQJlQBV3TMIxeVqwsYHaR9DHOF5dSaSJERc6ubNOExCxdeX7waXSnHLCJ9qIEwVooRtoQIUawC3ZUqg2wKS4mEtpwhGcUBi2lI51MYX5+AZq6lHS5XZPD/Gut6Oq2ADjm7PjU7/4lGtZQZRZDbh+1msJsPebspPycmp+Es9zO6rbt9kNZC7NTVBw3gsM4jQgWuG8kpRR5R5E6iRL4wphnE/RqNMAnlGXNhqnZCIIISZfRaG+FkkxhaGiIyajHPvvxdanZvvg3X+b3+OKVCNgqMCPMgm5nxqROgENwoQHtiOgLmME4JNj4fkbbVaM3IZ6IwWZbX3DHbmM9ZaGE9ZYJ3Qx9dr4fFPUlSkqDQ1zZL1CfQf5CPt/S+SYlTyqeWpfBPh2baDKKpkOmknNnkH8NbKQULB/FTN1NmD5RPBYKRzk9mZSzJlhB6+9CKDyPlJ6ErlGd7MrP0XTNWICUjSkS3WvmogslP27nnjnPStp0PMkJ0Awap/kcRoezyEqZittLL1zOVg2UouRtreNdrH/erOJpvwV6WNg89mufbaG0sEgpC/sSdPOqP1mFq5dV9k1Iqyn+RwMc8pCiQQSpIobQAwc8qFfaeEJKPjIOyUV3ZszHp5CRUzjiO4VQeh5zsVnUiy08cSMSh16fySg8caTVMlqZphVyjxZAUJxFWJuHX1zuIUNkFA1oaOIS0yPQbRnU25vRtXAetVqr4Q3BpuiGuqOQkWMx40dz8rsa6PWkkiJQGhSppOi7aF/o3zIFWQ7KUYtpdZRvEluZKG+HH42FWweFVmKJkPrfT34OgWQVq1NacShrMk3Xtg/lXMq07HOIZIXEpGxFZcWyCQkpB48dO4avfvOL3L43S5IWI22oPI+I6NmFOUiqhIBQgRh5uGGSiQ0sXm9EMOhxDc8/+zyq7/JuedW92OSOSkAWggtwTPgLTibssh1t/kMr1EebMaddjSBajzn7C33PQPADrzr2ujXPyXaYDecfvx9974fsyeeAE040YgqjrFQiAojIn1o04zrOs3LWh7LFHTPmh6IkcR/LQRfs9+NDLBbF5fNLKrjV1Gz0mivnrzLxSoQUL6RQ0tZi2V5uH+0Tyvl+QubnB9CEKIKYwBBSWpJTC8vKFrdth7DRBYf1lIXWnqjg/Z+8MreuMqGbLbCFkFaSTHIWjBsjRahCZOXy5Sy33c1Jo4cdnQW/wzTMjscSSClJtMQa8Z53PVzS+3Gxvqm2rZr75cyYjnrXxs9xMVN38ztpH83UUzM9OXAysML8/Udd3weC4JAYN3KsEBavP/OaNo/zHKY5vKaUE2huDwMTOHnyFC+qmAmlpOw1oWkqklpiUQ3cib7+K2jqaEBiILFCZbqe1M+1sNrxXq1/3qziabcCPSxYsLA3YJFSFvYl6Gb04Y//Kb73H69AmVKB0VQfGtHBK9oEmiQSIUWleRQFb5I6NODwl/mRSqZQrTQhlgmhJ3qZBwT1YjsP+FRdgyzTpMAwuyTUO5swFzXUUbIgo0nswLg4gLgS4UQvjuxeXMVK6BGExQVAVnHYawy6VE3lAYZpii549KLJScWMH9eTtGT6V9G22AUneNk9/9gVGPFSvLlDdm5JKbVdfjQWbh2YK7HtvsOYn5/Hs11Po2fhKpdJEaFDpVREElCTpQlEEw7wtU+eO+T3Q4pGBlXI0So8rXxDXzYhMQfidP1shXDNJ21yJ3wToUkIKqWjqRA0EWWoQhCzXAK2VMqbgi5qUKIqElp8SwPq1Xw+Bs/34+q162ivOITKzpqiCUa5q9v5qsy1sN447tXM2Wky5Q+58NKqn1rXsdiMH8pqoLSrRCyNw2jh0mYFCqpRz6VyVB5KajdSUdE5pTJnBRluZzYqn6Lvl3WjvIfVFIs+P2I9BsaurEsFR6+ZHJvCAck4d0bJnuFlY6pZdWjZRQRqU0REkXLLjwpWC5IXFvnk7ASWEw3jgEqlYDoaOxrWVDGtVRbaZj+M5772YwT1Gbzh9M+v+JxSl3HuBnIDW0zYZSdUisVdBTTMyN11an8td9Zj+vJyg/18w+xKXYdcJuFY5VEk+5MlI/mK9U3UDr73zW9DDjtRU14Le6djQ+e4EImXC1qMo74lNz2ZFel5/QUtYlJScXAhjGg0xEmXfsEYI5LNQ/41HVTmIPl1VPqqSloqa7YHI6H0KJN3dA+LJeJIaT7EtDAcHgc6Wtrh9xtJybS/v/K2X8bj7//ctpe8rXW8V+uft6J42o5ADwsWLOxPWKSUhU2BbgjmjXG3QIOD17zxVRj40RgGu/p4JdkcXIQRhAveLCFFyDUoJ8NQil0WEyJC6QXEEIQoidAlGIMSmww5bENGIXkpUGarwqQ8irCyqI5SBRwtO41gZg4TyRtIZOLE7PDKeUZK4pjvNMptVXx8eDV9cbBkmqI7bHLBxdDVjB/p9U6PA1pM5QFXPmjS6/a4je/UFDgko7Zf0dOQc/2v8kB/p8lFwF+2aaXUdvvR3Opt+1bBl/7my3DEPfj+T76P3sRV9sohgoD+OeEySGauWqDpucqGtDRBr0Qt5jDF3j/5JCuX8+VMSLbDeyI/UWjZhE9qhF0zlCqkcCEjaioKC2PB8LAS6FqX2JdIodJhjCAyIG5pW1bz+bgx2Y9me8eyMsZsMpKmIzIT5Uc2QC6iylwP1luCWMycnR7f/gu/vqHrbDvLHimMwqE7s157NrY0J12tn8kpIoiIqOrBBSZJCURM0aKGKNI2r9xuKhtKx9PrIvfpNZmEArtsTM7N1D8z+Y8WOgzFlAGX4IZNtyGOGCs3KlDNiq5oNFpypRQd8z947x/h+o/6oc2I0JKmWkdHT9cI/vj5R3H0FR34kwIEx3rKQqmM05HwwK7Hs2EdGynj3I99dm5giwkizmWHiFQyWbCEj5C7i0kljoqGcvzpxz6Uoy5pgdPm5P7JFQ7AJwZy1DVH+BiViuRbrW+i8yrGZLZNSEeSBT2fVjvHhUi8XNBiHBEXy7GoSJeW922kfLfbbWgsP464L4hoaB7VUj3sOcecxlMz2gQTUqSu6le6SrqYltse6JhwQunJAB9T2SWh8iXVK44V7e/dd9+Nr53+dz6XG0n9XAtrHe+1+uetKJ42G+hhYf9gP/bZFkqPzY+MLdzSoI7E7TYIkN3E/e+4DwPz3bi94h7EXAuYkcagyxoWhBlUCsYKDa0mp/QE0kIKNsmGZCLFvyfiyef3oq38IK+QBcoD/Jx+n1VH6ZOL3iECDlOZnzyDSW2Ik+towFNur0Kn/3bUSs1MOHmdXtxd8RpU2JcGEFxSlzNYoomNaVi5HuNHunmbaGxu5AFmIcyo4zja3JkdoIkOEW6PB6qsIKmTn9TyATA9p9/T3ymJp7axZtODLnPiUb3KqhiBVs3odTTg3KvYK217I6CBGyk/TLVeqd+/le+jScIzzzyDB3/jt/GPX/gXXHzhChNSlCwWRQh2/s8BO1yLk3NDNZK7Ck6lVOz9owezhm7UnildcwkCpiIbG4gXQ26iEO0zT/giATTY2rikl/yuTFULeUvVCS1cFjYEY+XY2BoBCT2GqB5GeDqyrnLc1dRlha41s4SFyBHyJKGkTprwU0rpDy5/B19/7mv4jx/8Oz/S82B8HsO9o0XjuGnLVd637YnjNsvZ6NGYhKlMDq23HW1nBDiVvdE5NZRIJgFkqpQMHxlqc0SM0rldQiE3wKXyGrfbw+T+WqDXuFxufg8hSxxyKarxn/lt+uJ9jLaF1Hfkq0ZKPNq6UicY0bl5/8O/j3P/2gV1SIIj6YZH9LO3IT3Sc3VQwrl/vcqvyz+X6ykLHR0ehU2woUqs57CO1WASqbnbR9cn3cP2U5+dDWxJL7+f39ZxByb14ZVvWAxsyW17Y8ogHnzkXVl1ycOPPQi9I47nZp5CLJiATKppj4qO4+1MAOWrJonE2M778Wp9k+H3ZJAmuX2TomZWtJn8c1yMxFtx3/a4mExaQmFFOr3W7rTB5pLZd7DzeCfmPBPo167ghnadH+c84+jsPMZ/z6iZDZW9bWd74EXGpLbiu3MVwETslFHqZ7ibf0/H0zyu9Hwg3MN//+NHP8jXynr627WO91r981KbfIDbZHf6IvrSV/iRnj/02ANZY/T13jMs3DzYj+NsC6WHpZSysCnQhIrKbSoqKtZVVlYq0GRTtImQ0iKOeg3l0njiBk9uM0IaaaSYLKJJGpmCppGAqmaWfQaV+pBBej78UjnGXcMs36a0E0mQcNRnfMdwoh9BbdIwH1XjWHDMosZXi6pUI78uF9TpsieVljamPDbyhjAmesIGjR9p9YxWPNPhVHaFfUlibhh5EmZik6hprYAjJMMZc/KsJpqMQGVPCmOFW5Il+Jw+Q4niUXD0jpWrluvFdvvR7Cb2StsutX/XRg1nt2JQa7737z/3D/jeN36A9JyKufgUbHCywTRNsmmCTeSAQePKhi8cVCaUSWVEk3IT9D2t+iEMohvT+ljWGJreNzLby3IC0S6g81TrtnhP5CYKEcGTmE/DltEwrU7x79I6XdsiaK2eiAPaA0qAIpKM9s+pu1ndkkIcHTiO3tRFLs/YjMJlNZ+P/BIWIsyeOP8tQ8GzSJQcONqGgeuDSEZTeGH+J1ADKSZoTFWm0+7mySIlfVKwgglSaRIpTn1Qcgtx3Lnt6GpXF+bjCdhEG5weJxqbG/jzC33uRv1Q1kJNTQ1UZLidUb9MnmVkIE7tzLyWTJt6upOQ7xRhtT6BFgzWS+7Ta2qbqpHsTcItenIWKuhbqe3Tf4uEFQSkkGAiltRRpBAkf0QIs4vk1tp+MpvF2bNn8cz/fQE1qeZl9xwTpEp0i17ISRnP/NsLOPffz3GyYyGFYS7M8tdrI1cxNT7FpbhEQscjEYw3jbJaqtC5JpXP9d4evPjii/jyF77Kn09tvrKhAja3jPvfvn+8Cw3vnc8sK7063ngbLg6cw3x8GhVSzYo0OBMzqQk420Xcd99bVqhL3vNbD0P3O+FxeHbUq61Y35Tr90Q/G+O0YfS+eBUBb4D3jQglSsejMUyhUt3c1OVi/klmul6D2MZkL/Upxfa/rLoMomCQPdTW6B99H/ehorzsfTuV9FaoPVAX5Kt1IzJFanwU3CbqSz762Efwla98BZ/+6ONYmAxDXixJLqv14efe8ibMTwTxa7/4jnWPE9ZzvNfqny3Fk4X9Ps62sLOwSCkLmwaZeu82aEB+5NARKP0SEuEYAnI5/P4yXAtegpccdBdXmNm40utFWpERioRWDHZoLpxSk3CYiSekjtBTePWp1+HS2DmMhcOolhp4ckffcaLudrQfasVYYhANJ6sx2jOBDnsnKyjGQtFFKfjSAL7KUYPx2CDq7M2o8FYirkeLGp2vZfx45NgRjlEnI0xOhdGnmJAin4Rs1P3pGjz2Xz6OT7/3r5Aa1XlVstxjdP7mvtP3m7J+e5OMt73jrZs6B6tNPLbiR3Ort+1S+net5klUyHB2o6/P/67f/70/xLUf9qK7txuJWBJJxOBBgCfZpPg4itsxggEuoDIUKjKXwVUvmk83CweZBCOFIhEtNEmngTURCQFUohyNXNrHKXwC+cIpWFCm8cyPnskOhLcCc4Ae6Q3j+xe/jabUIdgEJxyCcf3KQpqVDESC0z7Z4GBFpAc+DKCLColRgVouC5NFG0jQtRmFy1o+H7klLPTantgVTuZySh40Ck0cdtDoqoMGJ5Pkc4lJhFIL+OMP/Ane+va34LH3PI5Ur9FfEFmfm/RJZcMDXYNw+u2wNwK/+47/b8Pbn9+O7m575dIkMvv5RplRft+43RNDTilEksmeKYxxiV4jDnD7MkHtrQeXEEM4q1wqBkrEEj3AkXWS+/SaztNH0Ts+hnSMVLyUsEU2gAK3Hfo+mljSL+k5tWlSCBKRdgU/YXJzWlpS0ZYKn/qzT8MXr4DdnnsN6TneRkJW/eKLVeBTH/s0/vc//t0KheHSO40wg2e7n4LKfkcN8AhVXOZKCGlzuHbtGnr81/meRh5AuaDS2evd1/GJd38GjZ5W41oQgIDLi8n+mX1liG4sOtUuK72ie/Sv3HM//uXZLyESD7LqktqkmQZHJXukkCJC6ltPfWPFhM40zD7s3LgX0Fbux6v1TSZZruoqe3jaMg40CO3cxgMijdMEvgaoL6B0PCqXK1SqW5C0yYGZrhcMz7HalvyXipWynXrFMW7AucfeXEDMf+1OJb0Vag8EWnhdbZty+9VXNL0eznYnj+9IPfzU1e/h/zz2TU7rO3niVLZfXc84Ya3jvZH+ebXQBwu3Jvb6ONvCzsOiJy3sa/CNVAJL00miTlL1hBbjCS2vMpNHlNfNHlI03nLYnNBkFWl1uTLK4/RgVltK9EorKZ58lZdXGvLuzk7MucfQr17B9cx5xOvmgIMJ/N7/+h18/NN/DkGiwYwpBT/G0u9cKbgSSMJZLUNyGYlMxWTlqxk/mjLoPuUybAdVqIcimKkbhOeQjMaDdex5kCuLJq+B5jvqUNlalj02MS2CuB7jR1PWT39vuaNu04OuQhOPtWAOOC1gy/5d+bHL7N/lO4zgJWOgmi/Vz/f9yF8FZb8RP70/wa+jwW3+63lFebHsKv/15vfRI6kZXnnnq/Cdv/whblwYRTC2wIQS+fYQeZJGktsOkTjsGbVYMEV+OZS8V4smNnRe0GeZ1CEfKQINtq/iLFpwGK3CUfaScwteeG1++OUy+G3lXFZrHyzDG+5906ZL5XJBpM33rn4TYkqGV6RV9uXXL6lbyJSdVF1EutGjS/Ay2VGFBp4kEQFCRIckGp5xG8VaPh+5JSwL6VmEU0HUaS1w6V4MK33oV65iSh3jR3ru0j1oQCue+Lcf8PkajPRhbn4Wbtm7wreOFTGyh/8+FOnH6dOnN7TthdodTSJFv85KT+PzvVkvrNx2W4qJIanBSK/ah6vsUVZLpB2VYup69h89b0YHm5/HEeH2qqjLyxxJkRFXopB9Erytzg2R+1R+7mtxQvaLSCgxLt0jtRBdBWZpIbcZpBBFGDVoZIK2GQfRjyscurEdKY7FSnHpdxefuwy3REouDZlMhlV1oYUwwsEwP9Jz+j3d03xyABefNYJDchWG9CwYCuHqlS6cfe4c/u+T/4TksA5nyI9EKAlFyfAEhb6DyvgabQfgjPjx9LUnl/Un5PFICz+BSDU6ytbuuzZbzrxTMBedckuvCE67E2995dvRdrQV3bZzuCr+BEPO67ikPIeZ+iE89PgDePrsD9mTZTu9gLaC1b6XyHJSjRIhVZapQp1oEG0E8xTRIl6D3AZnmM77D/j1+W07S9pEJwp+j5muN++axLxzEjbncoIpt5TtTz72IfZAyz/2hV67U0lvxdrDattUqF/lMBBRxI+vPwVfvBIdzk5O+aTFTH2d44T1HO/dIO4sWLBw88JSSlnY1zAVDJQmk2sMGb40C1fSuUytZE4gqmoq+YZtRu6SxLkyUAVR1DEfmoFTdDMhRYokYyF4Sd5NHjW+4zL+/C8+toxUypU5F5OCG+bIT2IkFESVt2ZZ6d5WjB9Xk0WbKquRC5M4cKSdDVBpgk7bnlVV3ba1eN3c0qb1Yju9YfYCdlKaXsw4OL+9UbnnwIXuFYaxpu/HasbDuYazVBJgJuQFg0GMjYwjGUtmX2eWXVUH6nDjQi9/3/Hjx7ndnXvyEua6wqjWGtCNi5xiRgEENMEnu2byjaLpN6kZyWiaymsNw2kX5jHDZbjHcYYJqAAqWCVCPlIxRPizyoTqxeg9wGYzTNGJsGJVgU1Gta0e/YML+MpXvor779+cEjAXRHxl1pjo0gTPSHPLsBcRtfVZTCKAckNBRcEHto2RuBvx+TBLWCbiY/BrlVyS5lJJBdTOxFgtGpAkZYKewqw6CVVOwxvz4w/f90G0+NoxVj6OsfCNrDJ0mfGvOg6pHGjxHcCFCxc2VPJTqN2Zk0hDYRoxFKaSk/tmKm+0u+wliwAnHy1qaRQJTwb7ip7hxQwz7Y4fdYH/RiVzKdj5dyByPx7PlkFT+ydFRlKMo/w214YmZnT8mu+oxYKcYvXIC8+8sFiEKme3g9pMWk9w6Wcdmvh95UIVIvoC4o7gpsIp1ir9pX2g6/h///UXMTe1gIxwFRk1zceDEgYp7CN7LhQd8WjcUCP7vEjHFSa5TI+n+rZaXPzWBWgxgc27Q5EgnCkvysUqJiR0VcsSExlFgSoaz6lknhTKV0YvYDY4w+VfqUwCaszweyRSsVipZzGz7PUem50sM1qRNta3lDZ27Kc68Kd///u47bbbmPwjEmqtUpetegFtZT+KfS+PU2wqpIwdvpzwGeNvy19L530kGIKjzFZwfLNcOd6yjJgk0ob6i9f+8k/hl+/7JfzzP/wruvv6ltLbDq5Mb8s99lQWKmgCdFFHy6GmXUl6y28PPf19aMo0YjQ1xoml+dtU7H5OpbEUxBGwVfBzKr2Nh2MIL143JoqNEwiFjjeNIc1xRq4yfz39s1XCZ8GChdUg6Ht9KWkXQINh6rRp0FNoJcqCcXOhwTAN7Hf75kKeFywxzrkpk+/Lta7rbESci7gSQ0dnG/yBAN+cR0fGcCPYg5oj5fB6fRifHkW13IBD1Z1wr5IWkj+AK7QNxY7b2fFnUX2wAslQelnULa2al2IARN9pDnBG+saWDdC26zvf866HIfZ7Vqh2CoGOJSm6PvH4n2M/t+2teCxt17E2fVnIRDYei/N0lpQWlMJI5ETAVcaKvtxjvfT+9flEPD36XdzT+FoM9w4jOh8HqFIth4NkCzU74K1wo+VQC4SOBGx2GQsXEvh/z/0fNKQO8IR3GD0IoIrJkTHcwCymUIYKLnc7gbswiOuLCZkCe+aQh88EhpgUKEM1FjCDaYwycUA4jrvgEJychCbbbAYpR2l3spRVRhKo3IUUhc9d/vGWj7vW68I3nv4a2rRjhnfT4pew6okm2Ky90ZhYIBKBCLgB/Qqa0MHKLyLjqARr3DmA6fjEptrHWuePjsOTV76L7qHr8OvlqEbDshRSKo+j8jwmPQQgJkYwL08hJM7ivpe/nT/XaFNd3KZMwsJoU52sbqLJyEav4dW2e6kd03fGAE2A6k7jdT/3mpL1i/F4nMu/qO2ZyjZSuuWW6XFIxqKXE50/Ore/9Po3s1fPCnJ/kyVjZunNyIVpTrcr06sWvdV0pPUkqwOp3dShhdscEWnkW0bbdd1xDtOJ8Q0dm/zS3/xUrLHEEIbC/WjzHUStqwkvPHUWbtXHRBEltVL4BxFw7dIRiDn+iUQGizIw4LqKCyMvMClF5/W/v/XtuPatG2h1HkY0EkVfoouvh9wySaZudborKRxGQn2vx+vhRaBRrRenfHcxQdoVPo8apQk+rx+qmFlW6ik7JSjJpY6JDZ/X2UZ3qy8v1cR9o338dt2PV/ver7/4f+GZrWCVKYPUiLJesIw5mJqD/c4Mjhw+WvB8UH9ApPh6xjRrHc/l536ck5Upjbixo2HHz30hUD9DCZter7cgIVnsmP/g8ndRGW9ctrBAi7KkkD9+wgjEWe+YjLahkF9VeZ0fD77vXbjvvvuKkqVb9b60cHNiL80hLewdXsVSSlnYFMz0pL2AQnX4hrfANQQjhkl5bkkeEVLUBdIFkpISOHjqXvzxR/8ou9qcXbHs711GGq22albMCyAfZEB+6pWdvBJG2IlVo50wmzS8Bx7fFu+B/dC2t+KxtBXk+ndlSHnX9X1oERHVUiPqyZNmEem44c9BpVE1emXWL2QtT6J80KooDUKHYkMIT0UhqlIOGbNo1a/qUBMqQpMRDOqDGBvthT4vITWrQVFUOOFBDy6wqTmBJv+kIiIKgH5OIM4TbJqIV6IOsxRzjxBPvGvRwuopIqdoIEtqqQRINZJgDylObxOAeIZMn6lMRIKgAulIAl6Xj8t1nbIbCxOhLImwpePuPIXq2mrYQhLUtA6NgwPoEBjeCEZem1EyQqRPRjdKW0mhREQbeWDdwHUk88oyNoJiPh+5Srm7D78C1we7uHTQZ04CF7cpESaVm9EeJFmGH+WIZaiUDXDIjnUZ/27Uh6ZYu6Pfm+cl/zv7Ml34+Gc+VtK+kcrfSCFFx4kIXWpjpsE5q6K4vToWz6oD13EOWnsMPYMDq6ovNqOMoIWNn37pGxFgUspM25P5mqhHy+I2aexbRv9ccEPMSBvyAsov/c2H0+bCaM8o7MEypMp1eI57DY82TeUADyKSyOMorC/ghtqNA9KxpZRZgQi6OHSfmr2X0mQ0My7AUW7D7MI05IyD9yGXkOL3QuJ9ojJFj+iFmlExG56BU3PDpruyZZV8D7c54bDT++1IhpNc6knl+7mE1Eba6G715aX03tlOL6Dt+F5e+1YE2Gx2KEoasmBfYdxugspYx7Uh2M/acVR047Cj+PkgEmWtMc1qx3PluT+1q+e+EKhvLDaJW61fpQWF3DGB8VkSYrHYipCd1Xw+i/lVmYT8Nz/3PVx64XJRP8mteF9auHmxl+aQFvYOLFLKwqZAN6WZmRlUV1fvenJCMUk3maSa5XJkM+wr82ZL8lZTPm2GwFmvrDxf5rzTxo+lMpvMTwkshnzPLGpHxKCvpyxhr7TtfA+HfLCvif0wE5T0OppwbtfEmspioqEYrkxeRdfUBVSodfAJ5UjJGQhOCTabvOTPIbYxKdvT3ZMtp9mo3wiRA5QUuTAZhF0z2jPFY+cKbA3/CgmRVAgXhp7lzyfPKPLhIeVDENM8uTYMzCWevAq6UeJGXj6kQpnFBP9MhtIy7Gx+TmVV9Dk6HOylQ9Cg8GRmAsM8SU5LRE7ZOdQg1+NJU43V5agc5WAB+q7Npt3l+6Ydo/K4yDU0+AwVpqbpmJ2ZXfQBWtoGIhGobI/2ywSRH36UIaFFsudko8glwKs9dTlKuUSWKHG4jFLGKqGeH6n0jhVmItB+uhmDF0ch6IBDc7H5eblQy15T+Shk/GuikBHxqsdvsd1R2zHS/cwy0KUyODN9j75TVuR1f/5mYO6bQJNlOLLtJ79tE0RdYiLVJbvx6P/6CG/TdpL79BkdHR1wiW7UqU2LaqjFckH+P1FUxlSSiFy6rih9j8zB6ViWly8vidpo6W9+yU+doy5b6iNKIpNFEpYIBPJwI1/CsLCAgGSUBxHm9Sk4PEvHhNQRDa4WtB47iK89/a+QNcdiouESaM8ySEITDVIpqSe4TFBL66yAlOjYa2kktST7NspOGXORWU6Spc9Swgobp5959W1QgkbJ43rb6G725aXEehfJttsLqNj3GkbnMiq8VZiPziKTScMhO9m4PVfFQ0nGQ0ovGmyt3C8RSb6e87GZPmK/nPvVxiPF7ufm8S4MI+QmP0ii0LVS7BhJkrTmMVqLAGdPK37v5L66tizcfHNIC3sHVkuwsGnspcrPJTPwB1mG3J26hEGlG3UHq3HwtU2oe50X0sE0bihd6E5fXGYIXoytNwc7671RFtqGvtRVflzP9+1nLBl0OhYNOslzZQn0fCDczX//4Ef/CF/60pdx94mXobP2FF5+8FX8SM+/+MUvbYspdSnbtunhUL0K+UagQTlNAEl5tx2gAeMfPfJBDPQMIBQMwq36USZW88SUJtbk60LlMbmbTipBOepEV1fXpvxGSCETTUQhqzaoqgJVUSDoRjqe+U/XdPRlrmBam8Ah/TZ0CCfQKhxBm3AUbehEGmkmSsz/aIpdgwaW/7vh4zI9KlGi55SGRsoQJ1wYRT8n7y0ZiNMrPRAFGRkhxSpH9n8TXStMx+m5Q3BBUmTMR+f4s7dSip3rm5Zrzm22ffrPIK0MEoFA3lcpxOBFgEkF2jea3FP5IhEOm23n5rXm7bTh38//M65cuYLKWCM6xONoE4+iHUfhCVUYBvKCjUvTdEGDS/DAI/jgktxM+Dl0N/sERZUw7LQ92JiSbCM+NGa7UzUN165e55Q9ISbBI/o54Y8e6Tn9nv5Oryu17xz37ZKhhDKVUUZJoxFGwcpC83eLZBCdYvOesJF7w3pA+0qJiKTJMtV2S4bnpgrPMD+n1kbP6fxt5BgRSUSKhfy+TlkkmoncrJIMMsEpOrm83WF3ICNkWFGWiyqhblk4SFhbQFCeR211bdYonlQcNPmUJBmtjkOo9tUiLkTZE45Ia3pMCXHIoh1uyQubaOPSWyKqiYyikj7yPhM8QPvRFiSEGJPNNsUJN7VlCjeAH8n5NKZGp3G9q5vbjom12tBu9eV70TC7lN9rpoKSkT0R8d4aD9w1TiY2jX9hLivzt7oRsJUvqtsLh8Fs1/nYT+e+2Hik2P3cON7Fks0KH9dC18pWjpFJgK/93rpdP74Wdgd7aQ5pYW/AUkpZuGmwVpnaTpgs7kSp3F7FCsPWAuWPpAZ47ctej+QNDY1yG5rlpdX35GQcjz3wOD77ib/kqOu96udmTOxa1vVamgDSsdio2W4+zFXH8OUUKv3VmJgaQaNwcOkFVIpF5UeKhhj5T/i82dXnRm8rvvy3X8WZM2eywQCmKf9aoEkFqRRSWoopIcPrZmmbQvo8e0FVoh6VQi1P3CkljF5Hww1SM1HyHKW/jeMGk0M0uaUyPFLuUBleCw5hGN0YxLXFhL1J9mIqQxWmMc5qI2pHPBG3A9WtFQjEfcC0ziV8yw/U8roE+nsiHYOzzrYq4bKeEhDjuMV5kp015w6HUUlqpKVXcrreDMYwjTEcwklWtBiG1Qatxqbsup2/z+PxYDMgHwYqvTtZfwcSs2lWHBGhYSqODh85hN6fXEU0E1k8b0ACUZKlIKWTyiXMx4rOF6mAonoYkkNELBWD12m0nbXaBZWtrbdf4+N3oB6Xv34JYtzGKXv54PQ90Yt0JInLly/h0H9qKnm/qYtExWnkrmk0HPYFyxso0yYIOnsmQSwdYc7qKz216EkmsGqQyFqi58x+lIgoUt4ZCkKd0wDXqxIxSaJD9lOsLJqNzaA7x4uOrsuF2Dwq3A28XEnnIxqNwS7boTk0pFIJLlO1CQ6mxKikjsr6SIU3j0lEpRCa6hpR5a/OJrmZ6kIiYOlcVjiqUeaogEulgAMZES2IKW2S+ykqDSbSdi7uhlP3wiP74fDZ4Ld5MakO44XzT0NIGUSVImQMLzRt2jg+mgxPUkTvRD/m47O4546XIaWk1myju9GX7xRWM1DfasnpZr437YgzAdnRfoDv7WY5uVkKRs9/cPk7qBYbuT1QP7batm31fNwM577Y/dxIYXVzGX++pxQf17zPoUVDGqPlH++tHKNCBPh632vBgoVbExYpZeGmRCFJd6lK1zayDTc7ViPlaPD5ijM/BcdQAI3OlSUF5P3TIXdiZnACb7j3jRx5vddkvRv1ZNqo904x5CbsHGlS8L2x78AmLfdlMRVCpGZSMgqnz1HJS0fbAYz0D2a3YSN+I6PxG5zaM5+aRoPQtqw8YAg9XFJExt1UzkOUCykfeCV20ajZLKXxCWWo0usRxAyX6tULrWjU29i4nOLtW3AUFQhhGL1MVImY5ffRxJXIKCqduvPe2/HhT/wJt603vf7nMDI1y99NSi1WR2hLqhaIApcnCKKAkD6HlgNGatlWDFhzfdOojOje46/jcqeuoSsYnR1l8ocmfDQBI6LjAI5xuR4fC8Eo5zO/l363FRUQbfcYtYf6I0D9cm8mc7Jnd9ghpgWm/phE4BI1wyjbATc0nbIM04ZCShBQ21CN6dQYvM7S+NDc8bLb8eSXn+F48tVA6Xv9oS685WU/j1KCyydtbgRTM6jWG5ey6fOxyFctiNNw2tybLrtcC9RXkicaqY/ovFDbIVUdnS+zgI/UD2S4TmQVea7R+aTyPSpLXa1/obbxd3/393jhxy9iJD2LCXUYLs2HKqkOjd4Gvk8R4ZRQLywrezXbUoWvCvOYhZJRkdTi2essJSQwKvbD6XCitqIWr+x8DfqVrmzbNtWFuf04JefNRMaR0OJw6m404kDWY4r2j4QftH0Dahcwa1zTgI3DDoiMm8M0pxE6NDfq0cqJfnR+yLMtpumYmhnFdy98EwcOHMDvveO391xfvpPYrUWyQt9Lis5PPvw4Av6l5Df2tVssBTN8kBKoFx2IK1FOtCzV+biZzn2x+zmFUnDYj7h03+bxQPPy8J9i/flWjhHB9L5c33uLe1pZsGDh1oFFSlnYFOjGUVlpDFotWFgPKfflL3/FUEgVIKRyUe2oR/+NBXzlK1/F/fe/FXupbW/Uk2mj3jvFkLtiWe2rYZUMKZjIT6nQ9yWSSTgEW9bYfya9tA3r9RuZioyjtrMCeAFICUkEtTmeiM5ggsklmhBOYQxtOMrEURIJQ3WyOIUmmEQPKXIoB24eU5yiR8opMjG/gufZP4pUUVSG04kz/G5SVNHn0CpvRJ6HdDSDb3z/P3hySwNXr+SD6h7DfHQaLvhYYWFg0YBdA2yaAwlEoHrTcMOzbMC7GQPWfN800xC8xleH7w5/j8v0aH8jWGCyjQg1Ith4Aq8bSikiEuh4EOmwlb4zfwU7d3JnPifllGGI7eFyQSbHNGD08hREjZ4ZJWAKWcnrMdgcdjTdXjofmrPPnIMjYEcwthQ+UQhUFkmvO/vjcyW//m2ynZPkokqQiVPoBc6JoBulmFICNrmwv9Z2JaRSO6FrxIMAK9tIhWgYntvYl41IT7rWqA0RuUtE6G/+6gNchliMTCUvtTfc+yYkbqgQUzbMalOo01vgE8sNIiCSYDKgrDzAZZ4Owc1m1FT26vDY4fI4kQ6njfJFKptFyph4krBM1FBVW4FjrSeyqYy56qRcdaHT44AWUxGQK3FVP49GvQMVQnVW2miWTtpgQ7XQiJA2hxH04jRejiF0M3lF1xQFBbTgIMr5vYaCTdAEjF2dgqCJaBBasTA7g+Hqfpw+fbroMd+tvny3sFuLZOb3klI3/76TS6YbPkgS0mqSUxXXo5Te7Pkodu7zyf3t+K5Sj7WL3c/zw35yg35W8/ncjusjVyV5K1xbFjYOaw5poRD2lgzBwr6BOQmyOhQL68VnHn2cS/bWA3rdpx99HHutbW/Uk4mwVW+cJW8WQ51B5sx+ikSXFST1uFFWlANSLyUyMch+MWvsn7sNq/mN0HcNzvTj3178Jzx5/Qk88R8/QCIVR7VWjxu4hgkMMuVCJUSktnHkGETTd5DLFE2aM8gsG5hyBZQgwsnvcWIUfZyodwDHMYYbGMMAEyjma+2SHTanDXPucdg6VXznR9/Kqi0M03EZB8qOYEDvwrh2g8t3yCeJyCd6pOf0e/o7vU4SbNnBcr4BK02YVxiw+g4jeMkgrsyV39V80yihjLafjg+V7rXjCOXeMSFE20MeWXR8iGig8kbz+GxHeyj2moyaYsKPCCkqBRtENwbQhcH04iO6s8byC/osK4D++NEPZttFPBWHqqrZ/d+KDw19xvjAJF514nVI+sMYywxy2Vcu6PmYMsh/p9eN9o+X1HOCJj+6rKJabWDl0ZQ+yoo83i1Stgng5/R7+ju9DjZt2ydN1C4feff78Jn3fR6tOIojwh1oF46iTmhFA9q51JUIKVIU0j8ipEj11oGTaBWO4rDrFJOqFAtPZCp9ltnWaYJNhJRjqAwHXcehiRrsmpPDEQhEMrMaURMQXAhx30Llp0R26xkdoiRwqV8oEoSgCnCILvhtZez745Sc8Eg+1EktqPHXc3sgxcX977gvu29EktHvCA1NDZhMjeF86Fl41QBPQslPiL7PKKLUuN+NZ+JI60SqO1GHFk6spL+RmopSOcmPjjzmyBBd1TUmDG9o13E9dhE3MtfRrVzCtDLOKsrVfGp2oy/fT6Brj/qE7boGzf4zcMqFi2Nncf7CeZx7/jwu/OQiP166dBnB1AJkn4QjnUfW1b9s9nzknnvav2AwiKuXu4zteeESP9Jz+r25/7t17tcaaxe7n9PvKewn6p5Hf7ILmieTHQ/k+3wW6s+3cn3kejBu9L0Wbg1Yc0gLhWAppSxsCjTYnZ6eRk1NzZ4rsbKwN9tLcCq8zENqNVAp38JEMLtquVfa9mY8mTbivVMI+SuW9FnkReQTfNBVnY3IiTwwQTd6u9OGI8cOcwlbIb+IXN+PL/7Nl3Gt5zqI2+ruuw532gdZs8GbKYOQETCOCQzgGpuMk6qGJns0WR5BP5NO9I/KbmiiaBQZGYVGBowBPU3uiZAiBRT5RflRyUoP8osivQ6pr8jUnArLfJ4AbE4J5fVl+L1Hfhv33feWZeeBtn0hPI/B6REclk4yCTeuDnAJH3lYkeeMJIiolhpQhVr0Tnehrb45O+BdK4HMBKmhBi508zEyvS4K+aZBFTCkX+e/kz9WPVpWJIwZZu1OVkiNYoBNpDfbJtazgk2qg0QqCQkO9OEK/CjnUjC75EDrHY0YOjeGtJpisoWSDOk8RcbjPAF789t+BZ8c/xS+/dy/Q4krhmG6W8apu0/iPR9+cIUSZyPbnFv2eH2kC7FoLOtz4/F60NncySv8PGBVSrtyzqVpssaEHKn9iPAgcpTbD6uSDOUGGe/Xohnj+g1+/XYOonMJ0jbfIfQKg7DrDlbYsd/X4rEhYqYLZ/nKIqKGVF103ZDCjXxiqOyvUJoVq1MHSZ1qmA2LEOAnRVge+Hs0BRViDeaUCSbEiKyMRCIod1ZCsktQFIUVW8bBM5L2WtwHoERUdHd1o7K1bIXiwlQXTlwYRffoNcTSCQgZEU3CQfZ7o36BfLHIm4oUaUSEGV2GwAQz9Rkj6MuS26QiI8UUbQcdo25cgAtuVIi1OHLHQQycG2K1GZ2j0FAMD/yP/w9P/uT7BSe7u9GX73VstKR5U99BqVuxKYzPj3HCIhUUk3ZUtAsQbAIrpdaDrZwP89xH+2IY7h1GMpziwAwKXDBBqj4KXiDVVsuhll079+sZa6/mH3bPm+7EmZffwUrVvv7LK3w+i/mKbfX6yFVJrv3ewp5WFm5eWHNIC4VgkVIWLFgoOaiERNI31t3QYJXeR34pewkb8WTajPdOPgqtWGb9ImxtcNiMSXtueRoZWZNRcbFtoNeePXsWn/yzT+HCcxeRCKcwF51BndaGEYxwOd0E+rgkj0tkoDKxQSC1D00K6bf0dyN7zjDNpqQ3JjHgMFQni0oMSp6j3xPpRGVuVP5H5Wz0HoqDp5/aWg7grp8/jQ986P0IBAJFByq0j+NTo3AqbvilClaKeXQfD3IMfySR30sJRPRzTAlhfGZsWUz9VgxY8/1SSE3QUX0YWsz4/NzUIzPVzQQRH3QsiOTZLNmynhVsNoUnEgh2+BCAf1Ftkwt6TiWVNEmh7YolI/jDRz6I8YtU0ngAB04f5/0jsiKtZDA1PYp/+od/xokTJza8op2/zaQgq0EjElzySR5bAlz8n2fHVs753MUpHzGZ9UVjjzIq4aF2RFu12GbC+gIWMAtbzPBY2q7JUy5Byp+rG/5pTPbqIobRw8QMpViGMc9lqjVCE197hleY4SlVUV5RkEz9zJ+ROtXw5qHPpz6YrguF1FBYXvrL123ShYx9GqHMHHxygEkDu9eBCq/dSLHMKLALDkT1EDJyCmW2SlY63Zjvhf/uo/jQn31s2bGhn0l995p7Xg8p6EW7txmX0y9w/0GvImKKCSdRZ6N1Uk5RP0Ppe5xoKUic2KZSK1k8L2ywrivoxkUmWitQwyS0S3DDKwSMxD4tCXfKj9RI7P/P3nvAR3aW5+LPOdNnNDPqXdqi7c1eG2Nsegtccv8JyU0CGFIoCbmh5AZTDCSUEMAEMORSUiCQAMGUFLihhdAxxsast69Wu9JKq96l6f2c/+95vzmj0WhUV1rvruf1T9Zq5swp3/nON9/7fM/zvPiLt7wTH1im3PzVHsuv5diIpHk9wfv3trvfjh9//WdwJXy42XsnHD5W/VQG/uxHA6kLuDjRA4fuwoFD+1d8zq70ftz18hfjdS98IxpTHasWXnjo3E/x8fd9GNezfxil0Ov1FbuS56PYg3G9n61EJSrx+IwKPHkDx2bTr6/1a7gRrvdGDfpD5LTlShSXD66eXosV+AoeDtGxFbfbqPfOsiuWRTI7skn0gCn+O8XblVbYKecXEY/H8eLfeAle+NTfxqP/ehYYdmM8PCoSvSjmhNEzhVFJHIOoEXCgHi0CONXmQQwraScAwwRRlahX8BSBJybPNCUmD4IeMZSwRc35ghF6A1rzP81o07rg9wXwpBfegvd+6K9QU1OzaqU8Vptjfb5kJoFsJiPJPMEv64d/0/A9k02LVCkZSywpU7+W4HZDfSPLjilsc5peU0bUChq3j0rVPcsHiOeifKQMeZ3vc7uskdswsFGuP5RGOpsUKIztznbmPSOAGDejwkzhb/7N1/m+xYKbfTSWlzR6CseipMvr8mJHgJLGxCJJ43rPOZqKofvseWEgaDEbqmxBBGzV8pt/83W+z+22mpkg3xUJDV7NL2yxcXNQEmNhaWlKVsC/+Trf92l+5OLqc5sVxQBpJsvxUZNnxm46xfSfLK1mrVOAGHqV1aCxiHlHEK8KZ0+dK60XKPv8/Kf+BfPjEWGdMqRKnWaXqnYZjZBWPO8BVwSgmgbaPV0IeSYxbg7J+3yNUVdVD5fPIT5Pl/XzcHqduGSexYxvFAf3H0JNdW1ZsOLs2bPYEdyNo4ePwvBmoNP7zGYiq2XlO4HYOQsS8Dnh2EFfK0p9ea7Km06NBey3fMrZ9y7itEiIWfFTyYcX+gnHIZfmgS1rh550YvDRsWVlfFd7LL9WY6OS5vUEF0H++2s/QG2iBa327eIXqJ41u/zm37vdh5DTMugf6xOwdavvB+XLHAutYF+nV6PV5xlxM4aYye+t6ycsH6/S8XO515eLK3k+Ch6M0fFVPlve06oSlajE4y8qTKkbnX5t6rJCvZn062uJQn4jXO/jIQgyVDcFkByPF5KklSKZjYt861qk9VoeDpyc953oQau7cxG9nWABV/440Vqv985aVywtv4gHun+EkXBYpGpW6WdW2GlrbhK/COscyCL653/+HP72g3+HCz0XhVnUgu1SyYrl3MmYIRshCYIZqqKeF36ZtNNiuRZNGEW/MJtUaXrF6GAiGcYcglDG1WRIWUwhvk9gikAU002CIE1oE58jJrtMgpNaHM5aGz7/H/+EpzzlKSu2lQU683mPhmNI5/phNykBSou/DMEv+lwx/dZNm5wzWSaGloOecchnuf/NNmBl25opylBs4iVFWdEoBhQIkJdK8Jh1aBSQIYEYjOSCoe5GYrUVbLJheHweE3lGimKnKNCQYBV9sKxwm8qIvimwchECGuleOnFhkaTxWmYmrMQMEGaSoWO7tgcD5gW5L5SKCaMoL99TMCvbzCnbnTdPbNqix0J1qzwjRfar9h1DSPqumK9bBswEOrXFRuuEPDPJnKrAV2RgTBDhdM9Z6EXsVEtmy+upIjBlZJAy6EmnKumpAgNp7Nt7FDcHj+BHP/0B+hJnMTE7KMdntTx+t1Z7gqhz1sPpseFA51G01rRL2/b0nSrLIrOAN57T4cOHMBTvQ1APKu+u/GVHI1HBlXJpd8FbjiHAlJmDHzUi8eVCBccbPlNk2pVtV5Ewk+Vmh55NwZ+pWbbcvDWW/8Wb34ELx8+i3bNDANitHMuvxbgSSfNag6xcbzyIoHOB1VcabN/DgSfiWOgB/Kz7x3jWrb+yZd+tX/zsl/CsA/8Dv7z4c4xMDiCRSkghCGu+SSzU4/KgtrEGz9r9fHzxM18Ss/bHU1hMx7e/8c/Rd7oHrZ61z3WWzpPUGLDw2fiK9/JqVousRCUqcW1EBZS6IenXE1KZqbiUK3XhH7n7E2jLfwFcqSyCydRWaIHXQyFnXK3rrcSVx2vveQ3ue+0n0GVfuSQ8g4bHd9/z2NC519K3V/JwIMNjJa+GjUS5CjvKn+fZBX+eeCwuvi9alYFdh5vwh6/630in0/izP3kD/vVL/46qeI2YbItUCbUCDpH9RKaMkuEphyjFmdCEFaVAKbdcG98VSY1UbMuISI9/kxVFOY9fU+bFTCqZxJPxwUSa3jBzJu2/Lwm7g+ARtzFdOXzwb+/F7//+7xeq6hE4Kp6EFoPOgxeH0dPTA1vEjdb0LpHqcD88JhPbOUzI+dJzhwl2SCC3YXRqu2Dk1Mr3VhiwEhCgtxfBHoJ2/GESrWoQ5mVgRUwOAgOmYcrnyArbrP5QCkpZrDGJPI7C9rx8bFSOXxzzmBEZ1FrG83KSxvUyE9hWy8WVMhPWuqjBHzJ1CMns0PaLYfYMxsX3TBhCUEAjgUSCQyIO1bKb9kwrw/4igJQeV8IMUhX42tBVeEtMwOVeLj02+9vw4AiqDy+uquWyEyBeMNS3WG+ZXFqYVw5d/ai6d6Z4yoVyMzh9/DQy6QyMnClm/XzdbXrFR45spZnoBCJaDIlwGj8Y/29obhPPOPxc6D59CXhbCrzxHLw+LzLxlMgA85ctz6fFmMkX9ss702UFiCOYPWCel2fRqjrIz1vSWPbny4+OCtDL/ZFpxR257R7MjM8i1JtdApiV9pNoJobvDXxLjtnW2opAIIjO3e2bPpY/VrFSkn+lkua1HPvkw6fRZV+Yoy0XZCne5L8dZ/VfwOiKbdp3a/H1M3jPO/XdGJ4ehCPhQYPZKgb/FkCby2Uwn5zGyMwQ7tj7NFzu7d9U6e5jPddeKUqfDRZCmE3P4NJsD6qralAdqJWnc7X7Uc6DcSVPq6vhaVaJayMei35diWs/KqDUDUe/TpZd7eLqhjJBHSuYoF7J4C5eIzklQdmsL4lSCnlpFBu50ieCk87w6dRVud5KXHncdddL8MkP/y2mBsbQ4FqekTGVGoN7hy4G149FMLGhxM3r9a74hbmah8Nmx9ve/Va8953vX8TO4rGkFHs6gZ9f/CniyRjsaQe+/Nmv4Av/+C8I5moxhXFswx7xkCEoxYkeWRgEkxKIYyf2ow9nhc3EFM8CDJjsmnlQRUnQyIAyRTYj1cjQghCm0YIOdOO4yPga0S7eLmSdCDPDzArDin44/BwTfnpIVbdV4XTvKWmv5Sahv/2y/4X/+PLXMXJiEs2udkz0TqMlvhNBF69pSqRV6vycyGoZVKMBDtMlpuyWjxKvaSQ3gFQmWZAtbLYBq8PBtjEFcCsO5ae1lJXFSnzijeNYzHrZTLZeOMH7rCONtCTw6uzVWO1wkV2jknTlF2ZKkkCggqDmaufF4zBRXG+CZjETjvU+hJFQBA22lgK7z6q+N2WMwRYw8axdG2MmrGdRg/0hZ8sinokKoEpPKfoZlfOUYhBMy9lym2a8XgqQOuyUqwGGqUAx3g8rLKlsAV2UUP+mfC0VV3LN4rth6iZqmgNITiywU1vc7ZiJKiPzhdCQy+bEO8wwczBSNnhMv1TIpLdTm7lTnieyyCjzZAVAGStyJnRdQyqZxMOPPgy9Ibs68CZ+eAfRfa4brbqqxFpKPBN/Os2FjJnCHKYEFOR94BjWY54QIJqlEko/ZHPqMFMGbHY1rRXzfK9XpLsBuBYBZmX7SQNwSwMQJ4MjMYj2A014z3W+oLUWJjljEWNvleC4SXBhPc8/Fxuy8Ryc9rW1pcvmhiPrxHs/9B65Zxv9bl3u+hs76zE0NIQfXPwBPFmyNjXMaBPynJFhy4Ub9m1+h8zFpvCvD/4Lnnj7E7e08MLVnGtvaHHbDSSCCXk2mnfXidR+LW2x1nnSVnuaVeLaiqvdrytxfUQForyh6NcTaKhSVXaWC66qc9BfqVTyWgeUmZmZTfVvsijkq19DM84/cAmnH+i+atdbiSsPAjzf+fG3kN4eQm/ynEj0ioN/s3Qx3+d2V3tlkJ4Xb3jNG3HXr/4e3vmGv5Tf/Juvr9bP1+vVsN5zetHzX4o//F//G/3nLkNrzGLCP4DuxHF0x0/iiw//I77zyH8iN2tCTzjhiQXgyHjQntuDMQyhHs2S2NGThoksGRdkhNSgKW817hP+E4MgimLYKE8dAlmEkbhyrOVBDkryyLBSbBLgIs6I1I/sjm78EmfNX2DA7MZ58xh6cVoAKiaxrCAGPYf6+gbc/7Uvyv5Zvp5mqCxnz0noLudB+a31evHq334tHv33c9hWtRuhxDyMsIagXUk/xIMkz0oie4PXwHNo0NrQhHaRovG8KR2kxxacRtky9atFaYn7cpFI0Kw7K0nwWoLbEYzg564krFXoN973OphdcfSkTqE3dVZ+2/dk5P5IZTMBM9gvTZHstR5qzEv3FIxByZbyEzJhzyf0a5U0rjUsxozf7ZfqewcO7hcvoj7jDPqN8/Kbfx84sF/e53ZDvct7eW2WLw4r/s1oY9JXCqEpoKcY4eH73K6qam1eZOvzBlPjIGV0DN4vJsdFVybnwucvYy6cp3UHdZtiN7KfswIlXyOw0rq9Ga95y58I69QKH6rFTHw2PSWm5fwRVpRhIGUmRQBrN+1ImFHxQKMsN4haDKJXkvVmraMAlqk+A7gMN5py7ahJNuGd97xr0T0rx0ws9cMrHjLJ5BJ2FJwIYRZhc1YAMQZNz3fhiNwW3g/lh6VYXppNQ8dNLbA7FaDK4gc2u57vz5r4BFmJ7Gr9xOv0oiu4T97fqH/StRB8PtX4+vH8+HoYu1wcXw/L32SS830WE9mopHk9Uf4YyudvMdiqgpD+lXy3Lnf9O2378cv/OoHx89PoyhzGXu0otmv7sFM7KOzEOKK4jAvSh9jH+V3ijPpwefzSYwKGbMVce62L26VV9/j3zuBeRM9lljzra4nl7uXV8DSrxLUVV7NfV+L6iQpT6gYJRb/uXNO2VyK/2MpYD4XcmNIxZ4awjK3EdXG9j8egcfkDx36C++//Ej527ycwNzZfKAlNDylK9siQupqAVOnK4G7XIQQdVfA6ax8zGShXllmp6NzPL2B+OoR0MiOrvNFsBIlMXCQOcOQwNTctLCZK1jiZJgClLL8dUrmL0juWs+ffBCiUIblNTI4po1NV9JRMia/zkyqJVO3P/VHmx+psnJwTeOKx2rET5/CoGKATDApqtSLX4zlSpsfklswlVX5eyZJ4/DnHJKraHDh48OCKrEiCUP5kLXxaNXq6ezBuDKHeph52zmEsiQ+Po2Ry9G1SE10CcCPow3bsEyBsDJeRSqULq9wFA9ZT4wJwX6kBK2V45JKRPdaM1ccvbsd25ucaGhpwJbHcKjT7z2f+/rOSvJMPRyCMDDjVRkqeSfiC94RbWEk+wQkbjahXifVWxhPGjKkXzrmluk1+rOp+lBuWJiqreXldqS/Oww8/jF07utAT7sVsZhJVZqCoUqIC8dS/NES1MFKOBPbu3LWpbIniClUc83R6npl2ZJCRe8J7YwHC9AGj/1sLyHJSglBhVDntCEXncPyRkwIyJVNJTOaG0bC7BiOXRjFjH4M35offqEEua2CHvg/9Zg/iZkSeFfZFVuPj80uskiJGAthk9LEKJ58hVkW0/K0WBZ9F3ivTDp+jtrAAZH3XlmMmKj+8Z+KB7h8W/PB0uw5kybwi8J3CsNkr7Ec+3+ME1s1mAcPsmh1u0yf9L20m4bZ5BXiiUbq0CPuTmRVAyudXDJiMkULnnl2F/nU1/JOuJ+b8e9/xvk2XNJcGnxeH1wYjmZN7nGE/TSZhZBcWC9gHZDuHXcYh5xVUKC13/Xwtm8vgZ+d/DH+8HjnYpchBMcWQfYzfb6y2eRkXsd3cK/2myWxH3+CpG57RYS1ur/5sbNxbcPnj3tjPZCUqUYkbFJT6yle+gk9/+tNC/eMqz/bt2/HBD35QfjOe8YxnLPnMs571LLzjHe/AjRgLvg2r6/WvRH6xlbHE9HWlbTkZTwJpynfWcA3X4vU+noOTUpYn5g8nn3yGCVY9Ftry5SavTJT5+2rKQC2pwRf+8Yv4r2/8NxKTSfiNWpE5NXi86EucQzZlIGbGBIBSBsxuVKNWkkYyXugLNIw+YRqQnUT3BoJGTF6VV06uUHKe21isDMvYmcbJVlAeV4WgvD+BYWzDbsxhWpLWWUxiB/bDo1UhLVyoCBymUyQ+lPAFtNoCU4nJLZk5Xr8HjXUHUFsdxB+/4n8jO6YvOwk9P3RWQCjKu2KhKCJGGK2unfIem59tZXlcMXFNSHt4C4wKMkqUzCcoUoxQYgZOp3NTDFhLIxgMKtN2udr5heS9eAEwvwv6FnE7bs/PbWZYq9AMPlf8j/IrD83ekUUib3It1fcQzYMdCvxRAIgaT1cLmtuutzKeMGY0o+w5kx2zGYnven1xvvqFf0N1dQ1am1vRN9QrAEyj2VbwOmKkzRQmtREBZruadyEYqN5UYLoYIK3zKlN63pc4wkiZcUmaCUgRdiX0zMp3TJjpp6aARQPJeFIq2qViaVKIZOwiUBMYbYIRc+EFh38TX/7pP6M+14Z2Rxdcuhs7tQMIG3O4nO1B0ozJMdlPYojKe0kzChsC8uzTl42SvbzryxJfq7wjFYyMITLb0gWgcqXhlR/ec/J+eGcRyoTF/47edtWNQYQiUwim6tGsdwqoOmL056t8auIV16S3I+4JwWdWSZVNzWRb5GDaTfhcCqiy2GMR1xxe9sq7rpp/0nUHLpy8AGejA4nw5kmaS4PbHrn9ECa+F4It7RBwVFi5WlEKkjURj8YFUMw6M7jpmYc3/F1rXT/ZNWPzIwXPRcq4czGg1eHPL2yUn3NQykvQNoIQAqiGQ3fBTGpXVJzieojHanH78fBMVqISlbhBQamXvexl+M///E8873nPky+JP/iDP8Dzn/98nDx5sjBh/NGPfoTHSxSvQq811rsKXS42Mzkv5z2xXPCeM8SzhhPwZZKazb7eSmxRVb7qMivwVymWTl7PIhFPYNeBLvSe64PH6xEPFEpO+k9c3LIVOmFGvfHtuPCzfgz1D2M6NItO7BJAaTgzgNHkgBiGK0NyiKeKJGEwRa7GkvU0IlaeTIbI81xwCd+CiaUyDeZ/Gfm8eAjBgVSeKUMWjTCdYBN5HkEei/nDiTurgQ2jX4CrAfSIpIcJhfqsB25UYQZj8MAPnxYQA2lliq4j58mgvqEO7Z1tCAiAA3z9Jw/gSdueVrYtCIwwgWix5b2tdAcy8Swsb2yVTHDfypBW2Yhb/k1qTCIgZwEtqnLggMjlfD7fhgxYVwp6jxEAY1uNY1hMuln1jqCfxbchE4W264SDuN0kRuVzWxXsT/QNY5pPMJIsG1XVzMybvquKa7zvBKgIRtL3yxpbVwoCdmyf9cQCYyYBt8NdSO6Wa9/1Al8rLWqUY2NZvjitO5sx2D2MTscuIKdhwhgWXyUyEXMmWR02BPVaBGzVYqa9XjButSgGSAeOX5CKeLwPDWgTgNMrz7m6XzT83mbuFQYkE+Yg6uHWPHJ/WcLeyEA83jKOFPZWHZFrYCXDnvPnscd/SGR63elHYMvxbjvyoHEYdrhwCE+U/kBQmWPLBIZkG/YhBVyrYgJKRphvV8vIX9Ng09WzR3P13l5VwdBqp+WYicWMOUoXHzzxU4TMGbzg6K/L58+OnMTJvkeRTeZgsznkGaIMd9/hPeh0dmF4eAi5cBrVlPRqGjweD/x+GrMvAKsTmTHsf05Xge24nsWv4n5yvS1orRdcGDcvyXO9XDXPK33+Ga9/82vx+9/+I7RkdizykisE+xHsSGdSGNP68f43fQpXcv0Nzlb8+Oz3RfbNBQ5+n5yLHUe7vgO2HPnZhDtj8MILjfPnkturGLeX4EdAFkJshv2KilNcSVyNvvdYLW4/Xp7JSiyNyv2rxA0BSv36r/+6AFIMTmxf//rX47bbbpME84477sDjLZZbhV4p1rsKXRps96amJmxWrKcqlrVSJSXXdftVud5K3JhhTV5/dOa/EZmNyWo9V9dP/ewsDC2HeDiJR2Z/AX+tD0/YfcemrtBZnlH33ftR/PA7P0JNrAlRRCQpJXBBhtFZ/EIciPhvJp9MEgkwEJxin2aySCCI4BBBK5XAKsCWjlAGUvmKViqF5D74HgEKJqUEpiiP4QScVa3ynAfZjp4u6liU+qmqRJQOsY5eK3YKkMGteWzuj6bEHdgtk/u6+joxis3Rz8mXw8FDCxUXheWUtmN6fBZN9UvlcwIgFH012XUnMrkiLx2WAytwNgoW3iJH0/Ov5/JtxTGCwBv3Nzc3VwClNtOoXmQhyAjQ1IEuMZMfwYAan/JAF9uc8keaw4+gX/l0baGXgvIDc6AdXcKci8EnRvMOw4mxR2fgQZUAdlMYE+bWThzEKfwcU7EJtDmXX7GejI6tSdJYGrzWW+44io9/7R9Qm+H3hoLr3D432jpaFdusqN3Xm/iWLmrweGNk4Vw+g3giIX2VfYKV3yyQmffmyG2H8ZP7H0JX9X6kMikEkkGRwCkWmQa7w44qtx8uhwt94W7c+uTNB6QtgPTHP/4x/r9n/oaAzGRtSbVK01tg3oklvQa0m7uEkzeGfmEESsXMrIkqR1CMzKsddYW2dNrcGJkbxC7PAXirqtCcbceO/dvg8bkE1v3y978Al+GTcUAM3ml0Tj+mvIyX7WA9+/J3PhGUvqsptqLD7hQWkxQd0PUlC0BrZSbe8sIDgjhfOnNBjPsPdxyVHwKYoXgIM9kJdN7SLCXq6Wfj033oGTxfMM0fPTu1yDR/NDMAx3YTf/uZTxbaYz2LX9frgtZGwIVUKIsdN7dtmqS5XPAe2IJAeHYWVUZQWL7i3ZYP9juC6FFbCLbgxs2Pef3DvaMY652EJxJE0FG7SL4nnmgmq6Wq+xkXNqmvIP+2Qgo/0PxfM8Sgnd9Lj8UccrPn2tfa4vbj4ZmsxGPXrytxfcV1CUp99atfXfR3cUWVx2MUr0KXGhNulvyiNPgFzwSekpjNQLvXUxWLR9PdgNNc27E343orceOFNXkduTiGyfFJeLMBNBrtksx7Ai4kwgq4mc9OYyI9gUfwIFrRvKEVOgv04PPC54bx1rvfjm985VtIzWbhMqqEtaDYLEANGnEavxDpGdlN9Czif+T+MJgoElSwPKE4qaNsjfXbec5MKpkkEpChgTENzSlz499kQREooZHxDhzARZxCFZT3E/eZxbxI8Mi26ke37J9gU53WhKyZkc/S28WChDi5t5kOSXJdmlsSW6t9yKCIxSgPWliI5uSeE/5kbGnFMPUZBSBYwX3RzDmVS8GVZ0/J68Xtm2dMMXiOFqilpIlK5rfSPSuWvq03KD8l44jgHu8XwScyyQpMkjyXi0HgjtvxXvBzVVX0vdn8IPvQ1A3xCOowd4scjCAH710wEEAoHJZ2IVDVgFZAM2A3Hai7pQp9J5dW8+MYuh5JYznPtqHj49DsGjKpDKrtdfKeEcvh0rkBuAMu7D2wFzZd3xDwZS1qsD/Nzs3g+8e/A1vSjTqzCTVajXQWetXYsjZ0R7rREziHxl11OP3IGbQFO5GOp+ByuOXHMl9W16iuM51LynbHHnxUZMdbIdulnJDPOAFfh+ZAl3lQDMZTZkJAY5arl9AAt0mxnR/jGERX4240J7dJxbJy+yaGm0uZfFDh1j0YHR7DwcMHkMmmYWjKj83aLxuQwABHET45HEvYZ6RCkkkvuiTSJg36tUIlMy0NOHQn6r0KDCu3ALRWZiKjsE1v0Tb72/CmV76+wF60QK52swP2Jif6x/ukDyejGWSMNExXDkefcxh//5m/W/Rcr2fx63pd0NoIuMDx/O3vfiveV6juemWS5uWqbz774Auk+mZkZhaeTBX0nMVuNWHYckg4ovDUOfHkXf9jQ9U3resPhfKFMfKAFEMtEuRTHp6/Bhnz+F3DH8L4peHQHVLNMUW/CKchbLyrHZs9176WFrcfL89kJR67fl2J6yuuS1CqNH7+85+jtbUVT37ykwuv/emf/ilOnDghHf/OO+/E29/+dqF2L/clVgxoMVko+HLk5QxW2UqZ5BWtcK/2eqkcYr2vE00u3Xe51+96+Yvx0Td9Uvxv1A5LLrLIv3U8NYw/e8WfLFr1XO818Wd2dlaMemmMuxnXVPCecJVQyIu9Z/NhazRRYwSXv9ai16zrlbce4/u00usb7WOVa9rYNVHixMnr6MQoGtPt+TLQNtmmbW8LLh8fhZ61ocFsRTTrw+jEEKqaPfI5Tk5XO3f+SIL1mftx5vhZjI9MiO8LDXxDkTkgo6HF3IlpvQ9t+g5hrRC8YDWrSziHGr1BKk9NYVSAKadBaMklpr7KpDw/fBtqws3XJVEUMCoOh+ESwKhf7xYWFbcXsMowBTya0cZpX4w6NOAyzqPGaIRDsyGlpTCGAdSgXkzofUYadbYmVRHM5JdGXi7L8aNgMEwpGJNm9W+R+egWi0lXBtpkOFIGYbPD0JnoLn69uB3JaBGgwK4SykZPi4BkrdimZF9yXIsxKQ2AnMZ9AjPmCAIIKuaGoYvM0NQMGat4vM3uewSWeD5NaMEwLiFizAvTzaV7ClXUmOiPGYPiydWo81om5HOWjG0rnqfatmqkhpNwkRelV0t5c55nx75mDB4bg5kzYeoKOkshhfr2WnzgI++X70322Qu9vQVQoL2rVYCDm266aVFbrHbu3O4d97wT4dMpdFXvw7ZDu/DA+R9iNBwVdgsZCPQFSkWSOH3mFII7vFJU4F3ve2dhX2ttg5btTTj+rUfRM34GdWabyO6kQhzlXNw2C6RjGQRcDUhHEhiZGBaJ2+EjR3Ch+wIS4ZiANiIM5TF05UmUNBJwB13Ys+8AenvPFMpYb8Z94rzjXW97N4aPT6DO1gy77oBDs+f7jQ3bjL2ImvMY0/sLSTUT6KyZE0ZVlR5ANpWB26GSZUu6Zj17BIgpf1WG0qYk2LFEXABTu91Bh3JmeMhoyui8Wq8TpialSgGtDiFNFVIgGzKpJeAwHPBpQdiLGMpSSdKIY252FtFEBB17lYG9db3FbXDzzTfj6McV+EQ5bSkzkf/mNjd/7OZC+xBUYhuzL1n7cjgcAnIRzCPYkelrQWtni0ifuQDFipncT2lfZbTtKln8KjO/sF5nUQnuzzru9fCdyySvAC6sMjeyXuMzzvnx+z78Xnn+2aYWKMh9te9qxRte/hpp0wJTfR3XxNdGL41jt+cQnn7oOZgIjaF78CzC0ZgsXHAM8lb5cLT9KJoCLbKfC32nF5WMX+u4x74xOjaGnTZ6Ui2Ud6QZP9nP8jldg82mwzQMuOBGwojBqTkLz40VuSxZrjomtUEcvfOmwnGu5tzImms3NjbKXHsr+54sDF8qWdxe5vlIpNRib/H5bPS7VR13jc8kPc2WOe7jbQ57PV9TcQ5JD8Ab4Zo2eu6Ph2sy1mANcUOAUpy00OT84x//uHwZMfjF+YIXvAB/8zd/g2g0ihe96EV47nOfi5/97GdlKwu9//3vx7vf/e4lr09NTUkCymASSokBAaviUt6Ug/DLnNIQiwHBoHEzPUP40GWzC6v+1KNzIsZ9F9/Auro6ObfJyclF58AvIn4xs3SmFewspD3yeDwuo62tDfufvguDPxlDe1MHPLULq4PZZBaxqSRcQSdSzigOPWGPgHi8lo1eE1+nvp7XwHPfjGuijGb7ba3AbAZBt9Lt0zw1Mh6H02cvXFMoOYdbbzqMaCiC2FAIrS0LJfiYdCRmU/DUuOD0ORBKzsr17tmjwLrH+j4xOADX19dLm1sAqDWZrK2tlT5LdokV13rfu16vids7qxy46cDNiB3PwRPwoHlPvUxiG7pqpeLdyOkJ+Ov82L6tHS2oR9aXQDwel/MvvSYmT/zh9XD/X/zc/Rg7P4mTx05h4NJltOxpRE1ztSTK29CJWH8G/dO9OHTgMDweN3agXcCB3p5ehMLzOHDzLVKZagxc7dVw+fQwjLSJ/bfulcSUsjqxsz5mwOa0ofVwPeYwidtwG+w5ByaOh2AEMujc0ybJbBTzmEyM4fyZC2iua0HTjnoBqtpwBDOhafRd6ENNSxDb2toL0p2ZqSQCA02o76yBs16NnVVkRI0GMD8aQdOuOngC6rn0ka004EF4Ooqm3XVwuNX2ccMLh8cOI2Ug0OaTPnTIOABn0gO7yw4zayDYvpgxtH/+EHr7LuKmA0dFrtfkqkHImMbYIzNoDLZgR0dbgfIfS0QxcDYMZ50Nwe0Egmj8XgWEbJi5EEJdSy0Oth3E6Oio3J/N7nvz8/M4cushbAPvSw6nT5/CxfQpHL71UN7ji5XvDNiO2bHPeRN2HO4UXy4eh8ffqufp1X/2KnzlQ/8P+lgVmnfVCbDCvs17Nj0wh8hkFO0HmuH0OEWS+Tt3/REymYyMw/w+4SSCf/N7leeykTHikUceQS6koWtfV2Esf+5tz0fKHcfw9BBSyQQS0RSGLg2huiaAl776N/D0pz9Nvlv4+bXeJz7LBBDOjp3EkX1H0OxrL2w/fmEGyXAKnTe1QLMpHzLDnsV81oVwJITaowHc3nkrEvE4pqdm0ffLAZHtte5thMPtRH1DLTxuL8IjMXjdHoyMjBRM86/kPnEc+edPfw6usA/7Ow4jOhPFrt270B5oEiYk+83owARs03bccuAJ8gwJsAQHhi+MCRPk4NH9CFYH0KQrk/SJnmnkMgZaD6m/pRpdLIbEccgY0byvASnDX3gO62rqgIQNgd0O1KFD+utw4hKGz0zAXedAvYwRTmFItYQaMX0xhJrWIKpbFxb4ItMxzAzqqG0K4HKyF3/2otdKP1nteeL1F7fZcmO5Na8r1/eOHDmCtj9XfZV9kPeipaVF5oXcT7nn6Tdf/EJ87TPfRNDTiEwyi8hEHN4aN9wB55J5RNwXwktf8tuFY18v37lM8jFjIFgXWHZuZEVoJoyOjjYZx3gMPvtv+vO75Tp5jpFIRM6JwevYyDXxXotM16HGeY73IqF16fDUO2UxSCSiRfO99ua2wrO2nnGP59TQ0Aj7kB1126vhqlq4ryPna5GZTGPbvjY5NuV8umlD/4XLMKNA503Nwsq1GLejZzzClG5/YhPu+Yu3FK7tas6NRL4aCknfYz/byr73kj94Eb78t/+OoEdVheXnwsMx2N02+BoWgCrep0sXLuBPf/+PF+1no/O933rpb+LfP/2f8kwyErNJpGNZ+Ju80B0LrL/YVAJj4SH8yUteuei4j9c57PV8TVa/5vvNzc03xDXdiPdps66J3yNrCc0shbaus6DJeUdHB97znvcsu83Zs2dx6NAhfPe73xVwai1MKe6TDcybeb0gk7Lq+tZ3Y+jEBFo9JfKLVF5+cVStQlsrlBu9Jv6wI28mU4qvEwR851vfheETU+KPISsn+c2YdIwnh9F2cwPe/f53yb5J4R8+OSlmnYXrlRXORGFbXi+T0WvlPj0eUPHr4Zr40xncgV3Jm+Ey8/4nZODoGrYdbcXAoyOYz85iTpsUpg0ZQBF9Di96xW/hZa+6CwcOHJB9dHd34/5/+hJOHTuDnp7ziEZiYtzbhu0iyYuYIZEJUJZGplMUIfE7Cpq1UkEypcfFcDWIOkmYZ41JWb3169Uim7uIE0oaZ3gE9ODKMv+ex5SAUs1Gp/g/QTfQgT1SmYsmyWQ7UO5H2w6u9vLoEXMWQ0YfPJoPLs0l1YUoBGJLU/YiK8liOGuTa3a47WiO7xR5jrAr4MCYOYBWc6fympGVZXG7waDZg0bKaUwH7LUaJtPDyGSzsiLt8jqF/bS/8xCagi0YnL6Ei0MX8Zyjz8/fsEW3SRgfPz77PXhiynuka/82WUl/4NwPkZ03YQt55PzpfUVBopkz5D5FtHlUgQmzkl7R08qmaZjXZnBq6FGZ/Gx23+O42+YlJHUz3PCJPJEyTMrnTDLYxPXHJn5O/J3U47iAExiJX5aEe6uep7tf+0b8xxf+H+oi7ai11ed3qmH70Tb0PzoM5BTTbc6cwUzVMH7jpb+GD3/iQ5s6Rtz9ujdB7/MtGpuL7ze3EQ8xzY5kJglzVxwf/L8fWPe1kjHz9j96Nx49dQz7tVulKmRxX7KebUbGTIkZ+L6b9+Dnwz/Ebxx98ZK+Jww2W4kRuwn0pE7h/m99ftHrG71P9JMTdnNgj+ybr336O5/ETvOQbMtnzW46oZtqTGKwR2UoyTWS4vc2YDuP2tpqdNkOlb1WRnf4OOrTbaivrYem64gZYRx9omIRjc4O45sPfR02wyZjDf2ryK66bFxAQouhVduBYfTKbduOvagylfeXdf0cE0QGZbPLmDOoXcD7PvWXuOuul1zVsbx4PrLaqjsn1X/4+6/G0E+n4Er78gbuJjxVbrS1txaKMUxGxlF9xCXsIet6r5fvXD4P9939cewMlmGdl4y1l0IXcPd9Sj65VdfE1+761d/DbuehxeeCpedjvX4hfRpf/ObnCvtd61jAOeRvP/suoNcDH0Gwomd1NjWJmcg0WuyqUnc6m5LviGQuJpUu2Y+tGDUGEDNDyHiT+F+/+0J8+GNqbFzv/Vju9bVek9W3rwZTiq+99e63STXiBstbrMx9moqOI3jYjfff976y+97Id6s6bhoNVU3L9o1yz+TjeQ57PV/Tesbs6+WaNnruj4drCofDAoIRiLRwlRuOKXXPPfcI+rcSIMXo6uqS3319fWVBKQI05fTJbNDS8q/FE7K1vL5c+dj1vL7WYxI9XeTbUOzJsGv5ilIbvSYroSr+or7SayJ4dO99y3tPvOGVr1l0DStdb+m2a7mmK3l9ve241a9XrmnlayKCr2V08Sazwkrq6Hc0YPQIINJq7JCJLSUs1bkG/PyfTuE/P/1fIm0h0BTU6mDoacyn5uAzAzKfqkWjVKWj4XUANQI4USIgx8j7MFHCtQuH0GucKVTNI6NJklHYoRmqeh0r6HEVmT5EYkBs5FCDOpGC8e9pUIYXEAmbS/NKksW/KcMhYyhuROW49Ifh35QpssqV3awTX5o0EvkqfRrspl0kXe17m/HXn7gXn/irf0D/D8aRNTICuFA2WGs2YRbjaNY6qQ8qGI7XmI1ils52CkRq0KRvl/P3ub0y2acc79zZczgfOIvWtlbse+oOTI7njXVLlkZ4f56y/5n47qlviixwr3uXSIZYRp5VEv/rgW8ps/A8c8QNt8gsO83dci6UIrF9WT5+3gyJiS4n9cX9YbP6HhlYuqH8dyzzeJE4EsfMG2bne5eAhGxLAlX83I4dOzZ0Lqu9zknA6KUJ/PadL8O//vxfEIuF0JBrk3ZKx9PiNZU0U8KQSlVF8Vt3vBSX+y5s6hjBGOnNGy6XLn3l/xYzcd2xUM3p4sUl+1tLG1BuND8VQtBWJ89w0ohJr7DkkwwmnwR0KEciKDs9NivfF/FkHF7XYh9Dwqwo8eWxvAnLsa03cp94zs2ujsVto5tIpRMqQYajUFky7+0vPYngMkFPesVR+ur2eJCKJxdVNCuuQNfgaMFsdgr1aEAum4VLTM4pswUa/E1SKbPN2IkJDItJfz2asR37EDbnMGD2yPO8H7fI+wSx680mODQei6CmLuDruHEZGUcah9xPwMc/8Em87GUv3bKxvLQogbVvaz6y0jG5msuFrMRQFjEtjHg2LmxUp+aCEcmh7+wAdJ+Jqk6XmKrTP2k99/ta+c5VFQ+bMHlqDI1VLYs/UNTfiv3btvKa+BorXZb1PS2zLM5njZLh0rZfSxtwHlwV9CEbcCAVTolE2Ipqez3G7cMIZWcQ0FlBlosvJpWyiCMiUlY+ZSKZtfVjd9dePOV5T8JfffA9GzqXzXqdfdv691bfp7+8t7goQdHitrnUW3C5fW/ku3XxcTsWL0iXeJqVeyYfj3PY6/2a1jJmX2/XdC2cu3YNXtNyx7hhQKl7770XQ0ND+PznPy9/c9WRQYbTpz71KfGQsoIUYEZn59pK5F7PsVkVpVYLdjBS8x7ra7ha11uJrQmuWhcz7q5msL/QvNdK4i3wwMgZePDMT1GLZmEdJbS4JLfiUUTGUtYt1cqmjFHM5aYEBA0J48gvlqlkMDSjExdxUsAoglKU2ilLYUq5XMqYXCrn+eQzBDIUoKoqz/E1MRiGJpX34iCwZIqB9jxmhB3E1ymrYaJNxhATSRa55j54DHoIkb1AUEcYU/kUtx6tAljNY1peExBFt6O2qRo333kEf3bPnxYMZv/vez5ZqMDF7Thhpyk6AR8mrX6aSOeDr1/CWZGxNeqtqhqeHSKFYjBpbtW3Y2puDEPBfnz/H78rzM6VjHWf/ZtPxW++5Dfw1c//WwGgzrgzAjbxGjuxF9Wok9eLg+fbCIIwXpC3xGSatGWuyG12cBzknXXBK2AYwUW2udXe0tfAylLpRVUBt2r8LDY7drvcuOupL8fZkZM42fcoMskcLvbYkdWzcHhtuKnrFhxsu0nGc1tqcysaXUk1J47hax3LrYIFqWRKfGGq7AFkjAxSRlwYiwLqsC9qGpyaW+Q62VQWU2NTiLsT+OnpH+KJXXcKW7Fn+BzisURhccPr8xSq9a23IuB6K6SRMea2eRDCtFTfY1jm7VYo/p8uPmE0rq93NmJP2z5c6Lkgz1a5cOteOOvnMZ9Uz0xX547COTzQ/UMBqb02H1y5bWKIfxk98uyyDVSFMnrQedCJPcIcoW+aGMfbHALw8TeZylbVv76x+YJX2mYFz5XsH3qdsd0sWSxlavSi5Pf/as8T98GkN3Qqhd3VB7AruB/jrNA4dBbxGMd4+ifloGWBQ+17hQWymddwNWNpxcPNK1yw0VCeoR/HTmcJe6tMXMmzxmthvzBNLwZ7BxEPR8UrTiSCmoY9/iPoCZ9EJDuPRoeq/OlxOEQqw9X86dw4DH8cL33BXfj9P/rdsgu5VzO2cq5dLpYUJVjj4vamH3eZYgiVuf2NEVe7X1fi+ojrEpT6u7/7O3zhC1/Apz/9aZmoML7xjW9g+/btooW877778NKXvlT+ZtJLJtW+ffvwrGc9C4+n4OC9VSVTOcEj04SrUlv5JbGea9jK663E5gWfyfe97/349Ec+g0w0J4wAYZhU2fCqP3sF3va2t14VgErAKJsy3EZO0YkJtFCC0lLfBmOWf89KAki2gAKIfMImIshD0IcG1gRoeA00BmcyN4cJAZu4jT1f4WxIJDAqveREy6qQx2OzkhaNya1KbVYlGm5PkKMJHRjEBZmcEYxiEGwi8HUZFwQMIfDChFxVrTNl/+pYBLhUiXu+xieVZbgpsXN5XGjd0YRX3/1HeNGLfkdYp6XPcltXKy79YEySeYtLz23ISBrERcTMiFQGYzU9elYRCCKLguwsmi/7qhZouso0Oom62no4/fUie1zrJPRJT3pSAXTm6lqdowFNZifq0JivcqeSdyUmXEjeCVgR0Itr0YIP0GYH+yo5UjwP3nfl95UosKSs3wTKCAqQ5SL3fwv7eHElJU7+DncclR8xenfnYCaVof9WVjRabzUn3t+p0BTe9oY/x8ilsUJ1t2Lgodx3jUjvDdbOciABekBqIjflj3qKCD5rMu6QcaT6BrlqdvgcfmFJfPMXX0NQr0OnfydaWNo1H+lYCt3nunHc80s849efvK6KgOsF7Mi6jKYj8EJDyJxFQKtehmBmyHNHUNmT8KC1ph29gR7Mh2cKVQ0L559LwhN041n7fgX/ffpbcJou7HMrf0UCMrmwKVJhj80Hw5GDW3MhmKtVlHuOZrqJy+le2DVWIdPh1hpRbdbBH/SLvJdATuk9IXORyT0rQG5WW4lM/4SS6e9xHim8R8Pyj7zxk2i7qQFvfdc9AjAsNx/hXJH72BlQoAi3a6luk5+CjFTnmKzh0miPGH6zz11PUbwwdyXgwlYs8K3I3iqKjVTfLA2raM7+g/sRDoUwPDSS92RR3xB7mg7CVWPH8NxlDIcuoqtrJ+wBDUe6uvDbL3szbr/99msGkLxac+1rYbG3ssj8+InHol9X4tqP6w6UolnWa17zGplc33HHHYve++xnPyueIXfffTde8pKXyGDGL6Ldu3fjv/7rvyqAxSaGpRG1vJoqUYm1BFlRTzhwOzxzAXTpR6RCmRWpaAL/8u5/xaf/72fwy3MPC3tqK0NMrwMuxObCIufpM88IW4LV8Q7sOIJLc5fFR4rAEAEOJr3ioyRSuLQwXghMjWIA7dgpbCgCRWQ6WIwofk7AJ2HNKECKQJYwQvIAUxt24Dwelc/UgBK4cTSiVcALAl6sskXZHZNQ8ZBCJ2YxgVH0C+AVwSxr9snnmUhmKT3Ky35EHuWwo6m1Ee2d7QI8kS3UE2/A5/7zH+XvleI3Xvxr+ManviuSnuLQNRu2mXvFH4uMDfrQhDGHHdgvlQK37e8Sb614LKyq8cGE2+dGV8d28WxJpuOSKN3yiVvWxYq0jORtmgP1ZvMCPZjIQimlhGFCzn1CG5R9b0VJbx6fvDeazPPeWPJLdTqWuHHhpGYxKfd/q8F8qWhUIpehT1KwKYDQcHRRe1nStM08p3LnUJr8W5HNZfGjM9+DmTWhV/sWMYj4+Y/c/QmpykdWRylwJn/rprBc7DYHMrm0gKT5s5D/crmsyFoXpJTKW4rGoHypXm+BL+dHKpqC00+TcQOaqYvMMWjWwQOPSHi3GrDTDB07sU+M8ONmGLWwpHIL58z+Q6nRQdyKU8ZD6I9cxK27noRjvQ9hJBSRqobsf1I1MOBC5+5ODMX78ezffNoC67C3F9393WhCJ2bs0/DlxwUraRfmqHhKmLg0fV5ezeWMAtNQF8+q8tNHPv8reUasJ4rZTRaYVBxkV7Li8NTpCfzdx/4eb3rbG5cFe8myIqhVLnit7DtWcDsZn64DUGoJi6wMmMtxdrXxdS1stCsZH8qxt9wOd2E8oKfcZrG3FADWiKlT42gMNgtYyeHOYvBZew5WBxE87MS7733XNTuX3chce7l7vRGg57Fa7K0sMt/YUckhK3FDgFJ0lrcqgSwXb3vb2+SnEpWoxLUTfG4JSDXNb0OdfTHIwSBAtUPfj5n5cdnu0vjFTWGTCAMqHJaxg54ilvEeV8JzNgOjmQFhEzERtcMl3k1KOKNKsCvfIsI+aoKkuBdkv+hi0OwwnZI8Epyh3wv3Y8nwlExPSf+szxHYqkJQJGj0haF8hlI8gl80RrfOYx6z8m8f/NghiWo3ZjEtoBalhZQGTmFUKvYtMHKUD57P70Og2o/W9lYxFyz9ytcd2poAGla3oqF6pCDVW+z1w3O3PKoSiCKoKclgS2sLnA5n2UTASibJjLKS3/VMQvkZGkDTB8ZiwagdFG+U/6WZAg6SGVZqwrhZwQk+mSQJMybXTrNoORma1FI2xn/nrzFiziOJmPSb1VhJV7pSfLXkMiudK8/hw2/4GLxxP84PURoXl+eCzweN7/d1HJAS8JSR2cNuHD1ydInnDP8m8ECGBRNasj+Kj8F/s2T9YPcI/JlazMTH0KxtKzo3YxEgJU+hZmJen8aeml2YGprBtsB2qUx5IXYa6aRisok5ve4Q4LZOr8fZB3skabekrZsN2GWyaQE0KfMkuElp7jguix+a1WYcS/yoQQDVyGpZAdNf+/4/xL/9y3+gGY1STbBv5JRs397WDltAg74ruYR1yGfyd55/F/a5bkLyTARGTAHZ+bMrtK+AT/S5MlLyHPE+63YySMr3x2Q2jpqW6k1jmZSym5YLmiNP98/LmF7u/izIJRdYVitFufHpWowFFtkEWtydq4K5y42va2WjlQOF1xP8LGWR999/Pz72/k9gbjwsACq/f2uaA3jdW18jC8pX2n+WAmBKHk4PtnIeRZvJEL3WwEl6ed165y149MHjioG6yWBjJSpRiUo8bkGpSlSiEtdnULJHhlQ5QKo46mzNCM/N4d73fwBv//O3bSg55or+5z73efzth/4ekyOTiMVjSGUVeMNJmcVkYvJJMIjMJAJKhBHIYGJyaHkCKbNkggxaXlqXN5POC/L4ObVX9R8n2PycZXxNoIJwhV7EmprAkAAWY7iMbdoeHDSfiGP4ibCjlMQrKQwqAl0DOI86tKAdu1GHVpHsDaNPpIEEr7jXrJ5GVbUXBw8eQiDgz5fYLh+ckFMet5aJKBNy7p/sLSXVa4FDW2AUZEwaio+LRE7M1vNJPysEMoQdtkyCYfkHbWQ11EbJpeUDJp7NLF9WtIG8rP7jG2R2bVXwGjQ70JzpwBgGMWWOKRPofK8QaaEq8SWvt6ATUft8WebWWlgPa00gtlousxZmxcGDBzEQ7kNmQEercxtabAvJH43vu8+dx6OuR6DFbNhe274iw4bXcOnEBZEjlTJYeLxzD11AOBZHxp5EODsrRsbIM3yKW4xALwFhd60DU3OTqNFa0B05iXQqjZgREd+2Oq0Zdt5U3sOEDjObw3wkgte+4vX40S9+sClJbCloSMZIziQ4npOKmAQ3yfKTClx5aa917/ncJc04DN3A/v378eFP3LkIGGSsBGgSnOdzzPfomUWJ4nKeVB2eHZiIDaEDu+TcfJ7l2ZUj2QHcfc/m+G6txm4qjVpHg5jHlwOlRC5Z4ju3WlzJ+HQ1YoFFllyGRbYymLteNtrkqfEV97NeEO0p7c+Fe4e7sGhBptS3P/V9nHrk9KYARY8nj6LlwElhoH7ze/jx/Q+hLdiJw4eOLABzmwg2VqISlajEZkQFlKrEhoJf5PRouRG+0CtxdYIeUpTsrSWYIP3DRz69JlDKSo6/8I9fxOlHz+BSbx+mZ2fQaLYgjYz4zNBxpkrMv+sxgzExI6ffEOVxLpG+EUpSJtSEEmLhuOybLAVK+mgMbknxuC1fb0KbyMYomONqrxiTk+1jukXKRbCL8jYynXbhiJQdZ3AvaTMpDKRRXJaKfUw+j+LJOI6fiYcVq/dNYlhAIAIZZEzwhywrJqd0JyKjohZ1UgnvX797Pz7znn9BTaB6U1kxBE0oVaxHiwB2I+hFTpgbCoDguZAl1iBgWY9qGybQa2C4bdTDSMYcuwkja4hpNUOAw5KhyPLwEpmUfWsZDxwLZzKThSqJNLdnn7CAKPYtyhvpTTaDSTicC8DeRlkPGzI7dnmQTWav2Ox4LcyK1iP1yBkGDlbfitnaeSTDKWkTAqbSZroLzejApZkLiDvC2LN/z6rnsJysin8fecp+fH/yp2jS2jCRGEE8G0Gd1iIyPKtz8LkbxxBSvjB+58jv4ru//BbmYucRT0aRMTNSLIBsP+s8+JxTMpdLm/BqAaSG4viLt7wTH7iCxHw50NDl8IgXmYhRNUfBi0zJQ0uM/DWnsCwTZlykSeWYhiuBKcXyQZq49wTOlfWkYrR7dmIo+T3MZgNotDcvWyxgKjUG9w4dL3nJi7EZsV52k561YXhwtCy7Sa4379W31thsj7XNDsUim1iVRbYSmLseNhqrpF460bPsfjYKolls6LWCaI83j6LV5trLtasqZPAj+ON1aHfXij9eT3eP+Gxpmww2VqIS641KDlmJcnFtOPlV4roLDiS1tQuT90pUYjXpHk3Niz2kVgpul4lkV5XqcpL5lj97Kz7w+o/iwW/8Aj2P9mJuJoRd5mFxWCKcxApSNKDuwG7EEBLgiaAP2UvkSSlOjS6ACoEDp+HC5Z5hGLmcMJkILrWhCzu1g9im7UWXdlBYAzFExdeJ7CYLbCKDoRnbBHgggMV/12hNIrNhELAhe4p/12ut2IkDuIRz6Md5AS6O4E4BgXhGkiCjRrYnZ6IGDQJY0Wy9C4dwC56KOtB3y8TTn/50ARcmo+MrthffXw8rRrE0cpjGmLThduzFTuyX66d/FM+RAAxFigyyqSwwaKVYD1urNJhse6tVRUJ+fIG1tvg/VYqWpb6j8FV7tozxwP1mjaz4fPE+tWs7EdBqyHWRNuNv/s3X+T63yxm5RedTmliUlbAF9mD+VEK2W6sU0WILvPG+18HsiqMneQonh4/Jb/59932vlfeXS755nGQyueh4pcyK4qqJ6ly92OHfg96fDeHBr/0STf4WSYS6DuyA6cshZoSFkcTfpjeHBl8Tal2NmIqML/hO0ZS8zDWyHYZ6R5a8x3v9nr/+Szzj1+/ElHsYPpcfAV8QY3o/+owzGDC70WOcQI92HO4mHS968u+JNC2VSSCcmkfArBVwlYBUcUi1TXjgMj1IpBICZg89Oi6J+ZWGBRpWH/GgL9wjTBE+y2HMF1h+Vl8uFwooz4O0G5UPphPy76fsfyaSgTBGMgNIG2o8s4LjT6tvOy67z2PcPohkVnnhFUv2+pLnkN4ewnd+/K1Nk+6ti91kArGppDALxfh+2etViw1bOT5tZiz3/PE1grMEr9cSFph7pWy0lfazVhCtoWqBKV3uWSeIRpBsM56x4rBA28f6nm4kVvJ+LG5XtmM2l5HfLGRghDUE7WpMc9pdSIbTYvxeCjZuRXtXohIrRSWHrES5qDClKrGh4JdeNBpFVVVVZVCpxJoMzimJW09we36OxQuKw5qUnz59Gq995Z9Cu+zCRGxM5C/kFJC1w2SS1eBoRE5wSDGgNAGQCBSwYtwUxgSIIutIValjRTybku60GBgbG0OD2SqAQmliyGp0jWiXSnxzmBKwi6bjlLKxWh7dpLwEkTS3gFrcP49LgIQr8AnEhfVUrdWj0WyTzxGs4HZk0/D8ef1+BMWzSdXCykt4LDPifNLM7bPZbFkPDStKPTTW+syGQiEpDB/BnFwnfaxUey0kizwzsrZ47lMYQT1akclk4HQ4tqzk9xOfdhtO/Oc5uLMe2EyHVBS02oUgo9VeOS2DsH0atz/tiVs6TtlcGgLJBuln9AKiz5guBuwME4ZpIqOl4da8AkzF3fNbwnpYjS1Aqczc3Jz4jC0HHqwmy+P7a2FWTM5MyCo9kyCyeayfYp8x/j7xyEl5Zk/2HsesK4RkTFXQs8zx2zpU2Xbr/i0nqyKw9qGPfRCPvvxRfOQDf4MTD51CVs8hlYkja9NRV1OPW3c9B83VCmzgdczEp9Fgtgsbsg07l70WKXJgOkUGfMRzeNNMsIslRv/0d5+DR/chacSkCijHnWJj9uLg+5QZBz01MhZuxMC/WD5ot9nx9IPPkURWeX/FZAQihO71+dDQUY2//btv4MKFi/jYvZ/A3Ni8VNmjqTk9pCjZI0NqMyuWrZfd5Ao6kZtant1kVWS7Gh5rVxLlJLz8znAElD9hOpIRQ/wTx0/gQNUtS56PckEwl9X3SllkV9NrS4FfnfJZfq+MDI0u+6xfT0bzV6MPBIMBhELhsjJuMsT1lB0/PP3fizz75pIz2Gu/edF+3bpbKhFa7EorHu/tXYmrH5UcshLlogJKVWLDAworG7J6UWVAqcRqwUp6BH1KQ1ZKxVB8aTUybm9V4GPy+tBDD+Grn/9XnPjlKfSc74Et7oDTYAU8TtaZNjoRwhw60IVBXBAZlWUyTnkcfZiUr5Ot8H8lQVPSO07k6A9FtoTRFoJnnMK7amFRKYhDgUIMJosEgzxalQBXQ+jDLhwWOaCwreAR4ItyJRqR87P0iiJowWNSpmNV3wtQgqdNoL6+HkfvvBnf/Pq3ZB/0aFqo4MZknOexIEtjcDuejcPhEBnEZntokF5teWGx+h8BNposW95YikdFhhkNvAm5heExq1ZMTtfL1ioXb3jL/8HLH/xDxGbD8Gb9sJn2BcPzvMF5Tssibo/AVqvhDff8H2xViDeU0ysggtPM+/loiYL8ymJt8f7zK5f9y3SkFgErVsK2lrjSBIKA4ZXI8i7N9uD25meteAw+10yQmuzbliRBxT5j7Cdsn3Qsg7n0HDqCOny2BV8pI5bDpXMDUkVu74G98rmVZFVsZ3oKfeErnyuA12/+03vgvByE17WUbcBxpc5skrFhoWJf+SDjMp1NSoJ/obd300ywLdBw/9/sx/f+/Ydomt+OoVwf4uLh1rzovCwPN4JoHbYujLsHNk0+yPNoqW6Tn+IqiVOxcWFzPeEJT8Btt92Gl770rkLxCHqAXSkQtZysasEMPr6Ejbck6MfuNVesIGlVZKNcieyQrRyfNhrlJLz0BWIhgMy8IaxUf7UfXXt3ok8bEC+20udjuSgH5l4try0L/OqyH0T32fMi5XXrHvj05Z/13jIg2uMhlvQB12EE66sQSkaXyLjZPv/9ze8jGGtAva2t4NnH10+mHkY6ncFMehq1VXXSjpROc95uORxeb8b+lbhxopJDVqJcVECpSlSiElseBEwcVTakoglhGc3lpjBp0P9jobKUpulo0FoQtNUha6Zh99sEYPnMJz+L73zju7CFXEhlkuL90o5dGMRFbMM+MQ0nQNSAHWIqzuQxgQR8qCoASYSsKI+z4CgG/aYYlMtxO/KOCLoMoRftaBLZFVkvBJIU28UCpjRhvYiHFDRhTHXjl5LY8rVB9Mr2jVpHwfScjIIEskghLmwuJbvRURXwYt/BfdjhacJX/+t+YbHs/foPBbSiHxVBseIo/urmtXI7nt/8/Dzq6uo23UNDSeNy2IVD4n9FphkZZgQSLAaNEhrR58qNA9iFU3gY/eELaPdt2xS2Vrkg8PArv/Fs/OhrDyAWycGTqYKeW0iuDFsOCUcUpj+DX3nhs7Z0BViAu5wdfncAqVRS2HNkxRWzXNheGSSlYprfFUAoOymfW8xWWPCQWimWYz1Y+9roPV+L4fF2x26cOHUCg9HBgjdJuRBAI+8fVS4JKo5kMgFHxg2H5lpiKMDPe/UqpCNJ9Jzrwfbd21YEHoqD25BB9Aev/j3FCHItvibKXFyaR1h2ljeZAhLFQ7+saT4N/AnIbIUJNvfl8NrhiDvRnugS6fEwLsEwc0XV92yoQb0Cq5xOOL32JTLQtd5/Sz5Ij6yLx7rR5t1WAO74XiaXxWCsf13P61qOb4GFZ8+exRc/8yUM9g5L9UqzjKH/WtlNvF0zqUm85A9ftOI5bSabdLM9isp5AylfoB/CEw6iyVEj420mnEHveX7XZJc8H/sP7lv2XMqBuVfLa0uKQZi6nGM2YsBrr7KuujCOlV6LY/e1bTT/WJvX/8Wb34FsLoeaaBOanYsXNHhPCWa7NC+y2TRmozOo89fn39XUGFYCYF7rxv6VqEQlbvyogFKVqEQlrkq86s9egc+/6ysCKnnNKnRit7CbOMmNI4JJcwRDZh8GjV5h3RjhLH7ztheL9xNBKCXHqyuAIPwsARnFcsoIE0WBQhcEiOK/KSvjBC2UNypnxTs1CTcFYKHUrBU7hFlDcIqvu+AFbYZtmoG0kZRKXTw2Q1Xuy8JuOtCAFrFLt+R2PB4BKvKh6DVF7yemBzwOP+OxeeGr8iKjp+EJuCWptyaGc+lRqYiVSCQkAe1EF4bRL9dOWSCv1QoCZ2RksY24XTdC8rnSKDU+3mgwYeT10k+KbUGmBq9VSeQUy40eXZT28W/K+17/gT+SMvVbVfGIn3/fh9+Lv7C9A6ce6Mb81DxSibTcBwKHLo8TDQ01OPyU/eI1tJUrcbxv9PwI6jXC1Mumc1IZTZKtIqYUwQ+X04WgrwZzbp98jvdH2Apixr32KE4g1lIFby3XvxbDY4JN7MeWN0mpDKRwfroCUVZKghiU8dh1J7JaBjkztyxrw2lzIx6Oone6G+98/1uxnlipCiEr7PG+sOqdxWxbEqbygtN0epTpW2aCzXvUsacNs2NhBF21sGVs8BlkS6onzaoGSmDM6XAhlJlF5952+eyxY8fWVbGxuM8M944ilJ3Hme6T0q/a2toFLO/Y1b7oeeU9/OIX78fH7/0E5ifCwk4kGzHY6Mf/fPGviqRvuZLzDOt4gxdHcP50DyJzETg1JxrdbQjYg/BUeRAJZXHfmY+h+XA93vuhv1qR3UQgiiD+2PAYJqMTaH5iEB/884/Ice96uTJbZzW+0jbhe9rvagKIrXd82szqmKVRTsI7Nj+C8EwUs5kQLuf6CueKmAm7Txeze5fNXXg+yF4r90zSO6wcmLsuNtoVeG3xWZmPzMEWroLX7pPFpWgyglxWLWpIxVa7DVVuP1wOF+LhGGLh6FU3mn+szdDXI+N+5IEHZYHPb69Z8r41T2HYNafI+9nmLgfnA2ZZduO1buxfiUpU4saPCihViQ2FtQpdoV1WYq1xzz1vwYfefR+6jEMCsoygX4AgJvKcbJPNxP+TncQJVXOuUwRhTWgXq3ImOsr7ZYfI5ZQUjgwnBVKNYkBAojbsQlpLFBLcrJmR/ZB5ZCUzl3FBQDGf5pd90+OJe+H+CDLNTyXgMKswhkFhTG3Hfll5tLyKUmZCKuzxfe6vTetCZ8s27Ni5HWdPngNinAzmqwppPhh6DqaD5tY0KvcgHV1cCceaEIppNjJy7tuwR9hQZGDxmFZCQuCFTAm2C8+G22/V6qZU/tLskvzItaAKO3Gw0FZKHqkAPt4btq5Dd0pid+edi8vUb/ZYwX1+4KP3FuSKgxeHoRkaTN1E5+52vPSVL7kqJb95Hk3tjUhfSMpqdCqTKiRcVixKuLIxNLU1FhKA4kpoaw2rv6xFbldc8nulcXsthscW2LScN4kV3L/X50U6nlo2CWKMDI3A7wxgKj0B01DVK5eLpJlAPDu9bllV2SqETg/sNgdgM2EaCoyiNM5JtlZJFMtldZuGVDa1ZrbWeiNQE0Cf7SwcKVdeIpwukoEq1iUMJ+KpGOZck+j078c9f/bWNVVsJDPPMgF/5z3vKnxmr+sIpF5CAxBPxTGaGEDHvhYBc60+SrDj+U9/AZL9Blrt29FhVwAGgcRzl47jX97976j3NeLJdz4FxO04Hqf7UtL/6vb5xbNq/MwsGhwtmHkkhsbEdnRoLlmgmImPYd42g4ZME86On5AFAvdpN77/jafgWS94Bn77d/8X/gNfl3vH/plOZDA8OIzpyRnkMjnxuzM8GTzZeTscOTeiF6N4xQtfLVVPn3TwqSJ/Km6Tj/KZuLkR77vvrwptspbxabOrY5ZGqYSXsr0fnPwv8apr0TtkXLUiY6QwHhnCKf0XuCXwZNg0m8jhhgdHEDwcXJdH1tXw2mLbzodnUQc/ZiLTpCfDATdceW83AT2z9JiJIGqPwOPxYj46d1Xml1sJNK43lpNxU95cGvNTIdRrXrh9LpE+WlVNGTxfjm+ZXFrmLVy+iyaicNgc4t2lXaPG/pV4/EQlh6xEuaiAUpXYUHAgWS4hqUQlysWXv/wVbPPswkx0HD4EpRz8BZwUlk0j2uDR/AJspMUo2iHsJorYWO1tHIPCaBLvFxAcEu5CnqGUlc+RTcXJJH2cyHmyVmDJ9CGAw8nmMMjCSoiBeJ3WlAdSCLZ45d9ZM4sx8xK0AU2qbtGAuUqzJHQqOSQ4RKDJhU5hd9E/qNZTh5uP3oxIJAKfqwqenBdmzlCSJAm7VKmyVitZCYerwWSbOD2OwoSQX9JMRHkulIBVISg+IoxiTyv+m23A7VhBcCNGx2sJJlcEebJGRtqIPl2MRWXqTQg7jGAewT1ubyVlm8XWupZLfvNYB27eh4sjwwLC8P5aK9ILEjt1PulcEroP2HvLgsxmga2QWFJ1r1xYrAfGanK7ciW/y43bazU8tsCmbDyLTCy1oixvX8dBnDl7Fq3B9rLb8LPJWAo+3Y+sO4UqlxcjqQE02Frg1BeSelaDmzLGYAuaaG1UzKArMRQXv7VexZAxPTnEU1E02lsxm5sQpmNpCD9J05Ex0sLmGU8Nb4kJNu9BJpRDNB2BjjGR6XEMsth/1m+ODnOYRiQVxulfnkFwrnFZqQ/lluceOIVnPvHZ6GjZJhKq8z3nYcvacXTnE+CWflryGftuzJyakj7z/vveJyys3/ofL0JDqBN1Wj3iSCCtZ+BwO9Cf7kZtrlk6wWhkEF/67ufhsruRMzMwDBNBvRYzD0wIi7LGUY9LuRHYsg54dAdIDiTQ0oROTKSH0Js6j722m2W81lOAHtUQPZHDJ859Cq03NeB/v+fleMtr34rZobCwIrWcDo/dixZ3OwK2apz5aQ9cficmMYLm5DZ4NC8GL1JmuvCsFcufrOvbbFlV8bO2nntfLOG1ZHu1yRY02pb2SYfuQqu5XRZGTocfwU2B2xeksiWy3sno2IoeWVvltVU8HjOqqgLoj11Am7Fd+kY0F15UdU++K2weaFlNtmv11W+5x9FWA43riWVl3CaQmE0t2TadTMPQTLTta8Olc/0ifSwOPhcz0TE0a9sUGzSXQzKXQFfHjmvK2L8Sj8+o5JCVKBcVUKoSGwp+KVpGpxWkuxKrTUy5Iv2Bd3wQkWgCzeiUVeyLOI1GdKBea8l7PmXyZuN2+LSAcoIynRjD5bwZuj0vDSHwRIEduQMZ4QoFUY8qLYgIQgJqEa6SinpmRrxZuA8GWU/8m+fAfZJ9pSRoygeIsIpfr4G/04X4YAZ+c6HyXvH/Gez3ZGQ16W1iPkt5EpkfXLFWE8JxmRBaYa1WKsBioRKOp9NWmBAqsMeOcQwJk4vMDev4FiDFYEKdNlOyHdtrq55BSsyyejoPxrEaF+UWel6attAaBMiU+bkm21vStKsZWw2ArRRkZX34zMeQGjZFRsM+wCTRui+GkUPSSIiJr7Pdjpe98q5lK6GtFlYCsRa5HYOJ5qUTPQLIMKEsN26vx/CYYFP3uW7xfltOlsdoDrbiF56fwV2/NAli8LOM+ewM7EHgBQdeiInwWNnqbwc6Dsj++tLnNux7Ug7AfMXLXoXj3ziL+lQb4ogJm5KG9VYo6RwZQVnxkcsgi5tv3r0lJtg8n4G+y7CZuhQwIGOUgDTHOgJjRn68U+8lhNOZm9JRd1gVgygNZZD9IykLX2U2o6l6m1xLJJaFXXeg+9x59AS68eR9T8dUZALdg2cQj8eVv5ZuInU+iYcf/gUunxmGGbVhFpOYwIhIpflfKpVALRoQQZ8sMrRip4DTRkaNEfTTG871CrBWrTUIIGYa9PFyy8DBJJlEV8qQa8xGZM0cEmZMgKxcNguH4cb02AwOHj6AiVOjeMtP3orDtU9ANpDFuXNn0WbfWQTsAnVtrbjYdx7RZAItwe0Cl5aTtImJe9bAt7/63zj1i7OoDiivppWYMfKsHZ/AtqpdKwIlG6mOad37YgkvqyDmwoBfX+wpuDg0dAa6EAtHcDFxBtvdexaksjabgNfFHlkMenmVM5TfLK+t5aTEzdsbZcEmasxjMj0miy3W95q1eCReY1nlpRhzhaCjcUs9jrYaaFxvLCvj1gBPjQuJuVThC9fy7OObfn+VfK+kwylZ7LKi2lGPcfswwtlZBPRa8e90BZwIlAABj6WxfyUev1HJIStRLiqgVCU2PKDQx8bv91cGlOsotpJNYu2bleAefvhhfPmfv4LhvjHMh+Zx8vQJ5FKGSO84ISULiiBNjdYgSReDTBuaatvgzE9UDfi1apGIRDCTZwoo+RrBK3ot0XRbmf82iIRMsaTS4i+VMVNizk0AjOXeaWpMkKof5yTx5Pac1Flm5kyk6JlExpW3wcD8YKrcVcJut0O3KcNjI2fAq6tnoJj5UTohZFirlVYQtBgNDePJN99SmBCqe2JKosZqdwGzVjyadM1WkPHQ+DiFNMKYle0sz6KtCDHjNmmqPiegH//N+2IxZKzfbDv+I2LOwTTyn3scBRPQjluaMWdLwG14RUZD1kJxufOuzh1I6nHU3ORZkgCs5HtUHMWsh7tf+6ZV5XalFftu/tjNZcft9RgeExzqCZxDKDS7rCyP/WIiMornvPCZ8ryUS3ZT2STGspdRFfThKfufIfsqV/2t+Dw3y/eE++R+MuEs5o1pYQCSucmiCTGpetekqt7RT0ozBCyZwCA8bgfefe+7tuR54/lcGuhFLVowjxEB1zkeEYC2jM6tSqUcs1jh05P0L7oHVrtxvCAg5YkEEXTUCkA1eHlYeqNL94gvVau2HeMzw/iH7/5f+HO1AjA54c8XZshiHP0wxx2YxpRUNKU0mtfNtuL4esk8J32G7LJqrS4PRFF6bNXrVEA6mVDcjv58AlwTnJKRPoukEVdgu6ahGnUYzvXBq1UJWyqdSiMbU2CFkTNFOui6yYOzww8Le2jRPdA0+Go9mDk/ifpcm3jo2O2OJZK2YqBum7YPjnE7dtUfWFbuaoEsr/n918E/3og5/VTheW7raBWwq7QvbKQ6ZqmEl8Bsg60N83kvw/KhZLG7AwcxZLuAGdcopiLjCGSdMLI5YVO+4RWvkWt46xvevqI0bQmTcANegCtJieMDccz3RQTgiuGSyM/5vAlAaX3eTAojmuBnIB3AyMjIlrKT1uPftBGgcb2xkozb6XMoUGqJZx/7gA179+8VO4DSBZE9/iPoCZ9EJDsPnz2AfQf2FVirm1l4pBKVWG9UcshKlIsKKFWJStzgsZWeCQRmHnroIXz18/+KE788hf5L/Zibn0Ot0ShA0RRGEUUYbejCIHrE22kA5wuvcWLFRIZg0oIgj0mLSmiYvNSjBVMYyVcwS6Ef3QLGzGJKjMDFx0hzShJHoIsJESe4TCKb0CFgipUEMawVRiWNscm++BrNvC0WFqfjupYVEEsxgKxFSk0AKWlXzYRmarA7bDAyhrBhrLAmhBcipxDPRlCntRRKu4tMx0xjKjeKSNUM3v7utxbaXybhuomdxgFJkAmckS1BU2FrRZnXQbYE22InDuCc/siWTd6ZaHh0H7J6BmFjFn6tpiyjhu1GQIrbeXSv+twWSQqvpShX2WvoxDh27t0h0ig+H0wck5mkSgBuKp8ALOd7ZEU51sNa5HblSn6Xi+UMj7m1dQ1a0ba37rodD0/8CJfCC2CTmTcu7x+4hJHoZWSrktjr3CvJ8a/+4bNx7MHjS5LdA/5daJjvFJCk9HzE82kNZs0bDd630bFx1BktMi5RNluLJmEhsVgCq22qsSQhzxzBdLJqtiJ4Xx555BGkjYxIsujdZvG0eA4EgvjDMVGZsbNSqGK38bNk1pwfOot4LCHjezg9Dy3hQIPmwHw2JCwJy3vPy31rpoyRHHvrzVZ5rQaN4k3E/fXgBOrQghFcEsZmUFNFDAjec3w0yGpBTApF8D22HX8Yck4ErgmQISdSZ7apBVjxugjycTueEfcpMJbmFU+4dDaFlM6FAjU+s//x2trs2zF0eRjxeAItRfLOokaUamRuzYNEIgm/37FI0sYoBuoYsVi4AKyXyl0JPtJ7a+j4OJITWXTYreplEA+fS+cGhKGy98DeRWzBlapjLrc4VCzh5bgRj8XRYnPBZtNl4YMLGqXXan0PidQ1q+H2w0+G2RUXryzul2zV9UjTrkQKvZbKnbVmCxzwyHcXpaljGJAFJwtw5bhAsKoa9Rg2+2BErUIJV9e/qVxsBGhcb6xHxs1tnW4uVqnRgP2P/pS0AyD7unhBZE/TQWj+HEbNfvRmT29J4ZFKVKISldiMqIBSlajEDRxb4ZlggVz/9A+fw7e+/m2kp7KIGdFCxZcdOCCr7pdxURIR+jmxuh4nnJ3YIykW2UrBPMBB4EWxlhTjZsHYV/2WClmmLmCUD9Wyos5Sx1YVPIJcdjgl8WGixqDshyv7NDJnWH4siuejVhjJ9+GEmOCUlVRxG8r7KOUjwEXPJm5DZoAFkjEh4GfTTOq0DHxVPsTN6JJ2YoK3z38z5jMzGEv2I5PNIG0mEDYm4ctLkkLuaaEvF98vt90DLaNjm7lXpAystGeVg7ekhmRyMElOaUnx4dhKEMjr9qLT2IVB9CFhUmpTXwDYGATY5rRppPUkOm27MOjpuS4rH601Vqp2V1zZ60Let0gSgF0LCcByMprlfI9KP8/P8PNrlduVVuxbLizD4x3OvQIuUYpK5p8VNNRt62gTdshUegwf/8z/ldc//6l/QXdfD/ov9iMWTqC6qga3HnyCMKp4rolLCXz73PdlnPnc1z4j7Xf27FmpjDY5PIXunj4029tXZJ9she8J23ugvx9d5mEBWiaFV9mTh26YKGfkeW9AG5rQJs9638DpTQeArTH60i+GZewkqKKAcB1ZM41ZTAgrkuANx0mOqQyrIue///gr8OtBuDUvUukQ0tk0ZjJT2I4DyGg0R9dljHPAIRJFjmOsDsl+xdeasQ1j6EeD1ir7Y3EFVbk0iXo0i5SaIx5HQSWbpuQuJmMl/QBTUiTCJmMmWVBqcUErsFpVRU5XXnKofPD4N6+RYKAAVXlkiEUVCL4RREvkYrCbVdIXCLa12L0Ix+ZkXC0XqhiEYl2RKVTM4ySwNRkZF4aUBUgtVxnSkru++hV/DM94NbZVdeGi1rvoWAS76OGTjiTRc65nkW9VaXVMK1arksmx4yNv/AQ6bTvzCydAlcePaDQq9684KDr3eRbAY+5rJDGAN7/q/xQqcl6JNG29UujVpMRsY7KEyYzmQg7/267tE+CXy1JclCoG3mJmGJPxwS2T7y3r37RMrAVo3IxYj4y7uiEIvYhZxbPi2Mmf0sUELh588r6Py/fH9fAdW4lKVOLxGRVQqhIbCn6hMbGufLFdu7EVnglWAjVwbAQPHv8ZcjGmAjnxamKyRGPweq0ZEdOSHegipyMgRbNgphwLpd8VL4or4vQoIXDF0GDPl0Dnv5yyok9QJoA68Z+i6wRD+UEtrLYzEWCSwwk9GVoKAOO+yGpS+9M1u5Lk2AzU+GswPx8SH5SwOS8GuUzF3KYXkyPT8JtN8CEgYJUlk2Nk4JBqUgGPH864U0AZi0ZfWgmH7VnjrJefVC6Jac8QnnXkeSpZTycQ7HIvaXOfx49MJiXXQ0N2P6oLVf8WmBKm5ewCn3exwelmBhMCT8ANW9qG7diLqBnChDEsHjtMDmWlW7ejXm8WRppmN2X7tSYS11Llo7XEatXuPvqmvxX5T2llLwavk5K7cgmpdZ1rZSusR25nBYEG3hcmh+XalMdsPlyHh77+M7gSPpGBUIpayg5JeaJouaMGX/jHL2L00riwW7p7utGQa8UdB4+gulrJvMqNM29/45/DZrdjJA+S317/dPx44nvIhDPwxHzLsk9WM2veSLB9zYwp508A3WICWSxNAw550jgu8f12Y4cwIjczMS1mmOyqOYBLGiV2at98/h2aT9ieXrNKADOyT1vQIcA+ffJmMIbaaJNI7Mh2qkebVCYloG5JowhoMOknIGWBRfmjy3s2TY3J1nVNY0zAKsLhBMkU2KOAeQbPjvJB9uGslhXfP4JU4xgobMvxWsn5lB+dGjvVbyXtU56A1rVaId8NGsc4mxjL605d5MpWUQU5prmUQcNzj07ExZdq4TXlNWXJ3CiJq7e1lX6yrATVmw7i4R//GL9+6+8UGF/lwmlzl/WtKpWZrqVKJs3cmw/VYebsVIHVS//BqD2KbDYjkkYGgRybXYfdsTB9T+Ti6DzaUng+yknTRAZpARX5/rtZ0rTVKneS0cMbwn5JNuIAujFjjue/09RYyLGf7/E7j+zoscxlsQLYrCgeT4v9m4qlwoxysuHlgMbNjrIybhNIhtPFdpYyHh55yn7p4OUM6i32VKln1GPpu1iJShRHJYesRLmogFKV2FBwIKEWuBLXbmzEM8FaSeNkkMakvMeZTKYwwebEev5kAud7u5GKpWTyyBVwlXAYwopiokF2jzLF1gSwCmq1QttXq+dqElpcbJ1JClf+mezw32QEcMWck3P6GQVQC6+mgC+uyHO1nUlPRkvJpJIyO5euVojlGJoubB45B41glA5d16DZdHT4diBrJuB0NOU9mgxMYRgt2IYZjMvfM6NzdLySffC8+KPgtwwaqxtl1ke5Xlt1JyZSI4UKY2SSlKuEw5g2xnBg2+HCl3A55gcnjHa3DoQhUBiPyHZQ7I2FynuZAmPChN1l27KJJs/1yO2HMPG9iCSvVdkAgjrN3xeqAfJqxOvGriHrzOKmOxau8XqpfLSWWItEpbTaHe/LWhLSYh8bK1ZKIJaT2y0XVslvJqQrjtumiXlzCk4zLgCzs4iNRUbDrDGJ4bk+RB7oQOOhbdjjOoyx+RFUxxtQpzejv/sy3IHxJaASo8HXjP/3tX/F4Zaj2Nmy0H5P2f9MqTQWC0Wk8l42kiuwTwqyxy3wPSGQwGGITEteG8HfIGoF8FmQymbE/47sIW6HnC6fI/C2GSw/i2GyI7A3z2JTzB5VzTKtqocyldd8aDa3iZSX50nAiONpFQICpjNh5jkSUCIAxTHUKk6gikgQHGJoBVYq/20xclQRA0NYLATh3PDJ51howQJkLECc58V/yZNvQiR+BPMoxy5lUF7ESQGyybayWsXyELRAquLtCXRbvnrcl1yD+Oeoc+BbXq9XqlwWV2gU37vJuMhAMzmeH4EXNUaTgcewJHFWWO+Vu1sz47PQUvYCUOf1eZCOlRwzH6W+VaUy0/WMG1UH7ag+4kHmQgrJdBxuuxe1VXWYjc4gm6HM3SFglK+qqnANkWwYwXYv3vPXf1k4piVN47EV63EUyVhykcedxUq8UmnaWip3ZrIKpJRCGFpGgMXt2Cf9q7CNmcY0xmXusE3bLd+5fNZqajYumV1u0aNlRxMGxgYwGB5BIp6Q84skQ7LYEnAH4LS74avySlEHi/G5WX52K8VyMu5UKL2sjHszDOorUYmrHZUcshLlogJKVWLDX/Zzc3MyYah82V2bUc4zodxqKV/TUzb88cv+RECbwUuDyKZUEsDVWY/Ljbadbejc24bIpRQavE0YmxpFLZoFOJF9wJBVUCYSFjDEUIbkzfkVer6ahZ0AkakjY2aEuWStlnPVvlieYlV7o3SFK6iUZvB4OdglCVISk1w+MRsW41TKP7L2FDw2D4LeoJgs5xdp5Xc8G8PR/bfgxPAjmAtPy3HoS8XqUTRV54az+gQO7zqC3t4+NJksx63OT8n3bCLDI2iXNJI4tPcwfnzpu4UKY5zkl6uEwwpjtoAyiV6JSN57fQAAwMxJREFU+SGG6XZD2AdWdUECdUrwkK9SJGfB1rCJ1xScWysp+NO3vA6v+/kb0WBrhxs28Wsxsko2IACgXRcpCe/HvGcCf/rmt193lY/WEhutdrdeIGut12nJ7dZTsW+lcZvXN35mBs+/+dfyHkWsghcvgMhMzJOpKPbhZjhTLmSSGT604vdTr7etKmniPr3xABLTaaDIy52sw6cffE7RMWNIzacQm57BwVv2b5nvCSfE8VwCTmRFwhZEnZLpFsmICFDTUJxjG5lJBDysifSVsvw4Dr/zLe/G3LE0LqVGZFzhM85knOMgn23xtEIcTs0t5ziMi+I5xQR/N46IKbgCiHPCKCIoRWjKAn4Uu8kUEJ8FHyg7JqvJAgissVcxmzQZaylotuTC6t5bjCa1Lc9NyRtz4ttHXykZO0vCqTnRYe4S8IxAn8WV4l6KWZ+WlyAXBGrNpjwAZcLhsgszjSF9LxKH2+9Ga776Y6vOCntYqL63vRqtFzoxFRlDs4OsHU0qXrLAwEK1soXg+N3VsbAPK6yCFQ7dKZ+jt9m+Mse0oti3ive7dLFhXePG6R684cOvwU1PPIKPvflTqM02KZDS55RxVoC2jIG4GZHvKoJLnlod7//7vykAJhZI1GU/iO6z55EMp/Ksx8Cynli9VyBNW0vlTgLUvNeWdJOsPuU9tgBKcq7Rgk6EzTlcNi9IBcErAYGWW/Sg2f2PvvU9zE5E5H66WMAjB7TmPS5n4mPI2FOoRrPccxZ1uHXXk9Cxe/P87FaKUhn3hb5eNDTWY2pyGu1drUvGwys1qK9EJR6LqOSQlSgXFVCqEhseUGikudUa+0pcuWdC8WppIppQBr6aDpfXhdqWavRMnEN0Oo6h6CXxgnKhCnUillMVqMyEiez5NB48/wh2+Q7gwewDMrEjS2oU/ep4sqKflxfkkwxlx6sYS0q2ocqEc5JNGcocpvLMqgVpBrchCMMEinAMV+6TSIiHlCoRr1hCCqhhQqAjYK/BnHMcsBmodzUiZjiQQgQO28Lwxi5KA113wIlgdTWe4n8mfnT6e5ibCQvQ1QoFKtGHitV/3EGXJG+UIdLc2wqeH0EZygG5r5Q9iee+8JkiSbJWK/fs2yOT2ViE7CIbZswJaH4DT933zFWZH5akKKRNyx0Qi2PTs0jmImCVlhUgMIRpGOnNlRSVxq233oo7f+M2nPzaeZF1+XxeaXcm1Txm1sggZSSR9sZx5wtvW9OK+7VW+WgzJCrFYbEPzFeY6way1nqdSurRWFa+URzF8o2Vxm0LxObr5argETRiv6521AlDg+yQwKGA8vspYpAsJ2kieNVkbxfGRunxS48ZTUah707hw5/4ILYq2A589jnO0RvJkkcVh1Qmo+TIbBSvuTEMyufY/9fK8iuWcVrXzPH4V576PzBybhyd5l7xxmPV0aQZE3kyfaSUMbkmwLTTdAkwT4BnG/bCo1VJAk0BL7fhOZLJyHHXY1ZhiH5+Avrr+W04cnEBoNjo3lxgKHHs1XTMmVPCrbKALgUaLHzG+hdfJzhFeKEcIGVtS1YXmS8EURSLSnllcRzn2fMYND0nkMZiFmTVsi04vno0D6ozdSI3JSj06KljeErn08WDj0DBfHgG1fY660bB5Xeh2lmHQVsfUs44XDmHgC6WZ58liZN7n/8uCBT1Tys4rslvsj/zki6r4uSiYy7uKfK5mcTkksWG9Y4b9KP70Mf/GqceOY25UynUexsXFRoo9guaio6j+ohr0ZjBvkZvLwLD2YgBr30pa7cUQHbs3rg0bS1SYpqyszCIbirppmVsXirfZAS0akTNMKKOuQ37JC636MHXaXbvj9ehvqoD0/MsKuATmaScJ5xo1rYhnJ3DQPwC9lXdhFB4Fj849x189v3/gKsVxTJu9n9WImxraxOgbqVtrxdfxkpUopJDVqJcVECpSlTiBgzLM4ETmnNnujE2M4rp5DhypiG+HcroNoPsYFY8S8g0YiU3SkCai1a+xfeDFeYynOToyEXVCrMlt2OCweCU2ZqYKkYR0w7l40SzbuvfTET4Q7CFyRdXRQNabR7CooeUQz5P9hITLVbpU/vKIplnUEloJprbmtG+rV1WWnJS6vuHGA33i1TE4/UgnVRyCybQPGcmISydrOXZGU/d/0x8c+gbch4ZjVIZQybOdG3hOZO5RW8qVSK+uQCuJbIxOH0anG0u1BxRVdfInLr//vvxsXs/ibnxEGymA/FUFLFMRI5VbdTiP37xZdQ0B/C6t74GL3nJS8p6mYiBdcaBads4XFmvGMOW05ew7WfNKUzbxxHIBOVzW2V0zgnD+z70V/hz/R04/t0zmB+aRSwVRciYlQkFJTOm20BTWx1+667fvC4rH22GRKVctTue93qBrLVe51Kpx+ryjeWq7y1n/FtcBc9iRBWzQ7I5Psu2VSVN3L8FXtErSMylyyRY1jH9Hj96+vq3dMLKfXMUa0Rr4dmW1xcBNyr4fqPZhimMybm/663vXpHlt92xG+ceOIVn3vZsdLR2SjIuxuIBG9EO/OC7P0RjlP1fg0Oj6beOmBmVipuLx1XlwMQRcBQDApqTNaXkxLmiaqHKo4n7q9KqUWUGhXlE2TOBN+seqYUCxVBRI7Qh23F8UwxX5QlFMCmMGQG2rPGH76p9ENpSPk9BUMqr2E9lBypNQ6e5C304K0AJJaFkk1HyzeOwXS7ilBzvAG5TkmuNgIsm7JXJ2DAeOP9D7OnYB/cOHUk9jqAWLEg+R/KST0q3GRkjha6GvRg2+pBEBE/a/dRC//H6vEhG48L8Kv4uKA2Oy+yj3ipv4bP8XXrMYikfj3s51it+QMWLDRsdNxjWsz1w4uKiZ5t7TmfLL27IogYluOE52MJVZQGpgsSdMGgeQI6Fo4tYSesBN9YiJeYeHE47HEkn0ibllZZMMz/HyN8J69ljdb5cfawwZq0XaFlu0YPAumV2zwUiPjfsg6XjTECvQTwbliIlPltVoWDKYxFSac/pXNO1VzyjKlGJSlzPUQGlKlGJGyyYNH31q/+Kn/3sZ+iJXRafBiYqTdgm4AsNcJnYJMyogC6T5kjeP4YwkFcMq63JoXKgsCobOaQ8NZMLi9VkyT70/H9cdRcvEBPie2JVbKL8ZWFV1EROy6HRbMcoLiFmhqT8OM+Lx+Hqu2nGxbB3FuOykqlEawALL23r6sTu3buVeWoZCdBDAz9Bc0szhi72otneIRIHyjS4Kl48rSO7iaXXHZiTYxQSN01HE1oxibDIDSiX4So+wTlet9vtxNHnvwC//0e/KyviXO156xveJoyYp7Q9B85tbpw/dx6pcBq6W8esOSklmZnUZI0svv2p78sq+HJeSclcHI1oQ1ifk3L0daYCxKxgG89o41I2nQl1KDeFqxFinuoGhrU+eDQ/Wmzb4NAc0G06HHY7XCEnPnbP3+NrR7++og/UtVr56EolKqVBUHiwdwT73TevKyFdz3Uuqdi3QflGsfFvuSgGlRZCPfnlTKBLJU1KPqXarwD+rHKdm2UsvFxSq0ApQs9VS0y3y/3N7ZxwSluvxPIji5TgBZPfKqMRTTXbpEInX8vMG4gmIqhK1sq+VDVNm4wtinVqirSJ46EFlPEsKHWmPxPBI4L6VjVRJZteMCC3uEyU+nH7erNFJM0LQNuCZI9BFifHOI434gsHmzCy1GIAre1mhLHJIDuVrcV9UdIovlUsdiCsF04ll4J5Is/TTLSZO9GD48I2s5mqUh/3Q/+qDuyWyoEEoxistsrqe4ZhosW5DbG5ELqDp/DtH30T73vn+wteO8WSz1gsilxmOwa9l/C05z0V7/nDe2RfZB319PbJdbmbHJhKj+CJu+5c8l2w+JyBiHMWu5v3LHq9nMyU7DMCWJ4WBz5w3zuWPGsbGTeK+/1anm3GsWPHFslIT50+hX25o3B4XXA42J7IV4Edkv5p7YfXVOtoQDoSXrqfZYoxbERKzJ7hocQ7xT43hmrUy70XWb1VaVej3JQCcRtM3URNdQ3e8CdvxMil9Utjl1v0KDa7jyUi8NmrpD0onXXaHZYzvgSftaHERRxqOSrgJvsSWcOVqEQlKlGJrYkKKFWJDQUnBKTFV2iX11bMz8/jabc9E7G+JGbMaeEntWo7JMGhQS1lcUwmEohLstCK7ZJoEKAieNWOnbKf4pVLWX2lZMzMFMp40+ekH92SIDEp4QSXMhjuo9FsxTxmRYrB7cUbpcinhRNUvs7Vx05znyQ+NMvNmZl82XB1PMrnfviL7+Fzn/oXoNeDoK98qXgr+F61twbP+/+eiw9+7AN40+vfjMi5HJqWkTaJxxQo30sVVbVT5r3TA/Oyek/GGBMkyg55TjGEsP22Jnz0b+8rrOIWewbx2rrPdiMXMeF1qFVqtvF8dAY/O/9jPP3gs1f0SmIiks6lUac1iydV2JjDqDGQr3ZnV7/z1e7a9BqkzRSmciNbujpaLIWIh5LY67oJQV9NEaiQ95qJJ5EaMjGnJ1b0RyoHgJTzOrvalY9Wio1Uu8sYGfGlWU9s5DrXK98oBxbK9RWVFy+NYlBpIUxhOy1vAq0kTdxG12zi5zadnJTx4sQjp5YYLpee75UYCy/xeyqTYLOdhJmZH5sEuFFko7J/czu76cT9n/3ysiw/JQ/6ITzhIIL2WmFpDl0exrQ+Kq81O2vxk9B3sAuH0YvTMkbSC4pjKs3ICdBQLmyNv9aiAM+TCwZkgRJE4ni0sI0l7VrwneN4L1VEMSysTY7NqgKpLkAcx3sypAi481zY9gSLCHSx+hnlg/yuIDjFz3OhQrWgMlBX7CybLGOoSnwZARQUS1YBaWoM53ieE9DJY3KPQbmv7VqXSKMTWgwNjhY5PsH2lKHk5TwG+1zA58ct+28REL6vr2+x107vRdg8NrTuaUJ711H85l0vxB133LGIgUcQwXomyDbh4sH8qQQ0LJXtFctd9z19J9Ijyly6OMpJWy9HL+GNH3ldWYbjRqtkWv1+tWe7nG8StzvuOInZ9BTsUSc0m4lhrR/OjBst2vbFCxy5NEYzA0hPh/HG170J42dm11WMYa1SYo4DDrsDMeccIql5VJt1Mu9Y5N8GI1/nNoqIbxruES/MXjf2uNdXAGO5RQ8FrC+Y3edyBlyaDqfdKRJ0kyTGnLIXkAIidiecLif2Hdgr30sENx+LhZHKXLsSN2JU+nUlykUFlKrEhkIq0nhXr/r0eI6rpe/ncbjC+YH3/DW+85/fFY+SSQxI0kDvEcpDOMkSI3I4pTQ4V+lFvseqU1q1JCtz5qRUw7GAKEr5mJxYZZsJZJ3CQwLWcCWe0jJuK5XgzAzmMSWgFCUulI34EJBVfyY/zVhI4opX6nk+VSICacQ0RlGNBknOaKDLJIyTXf3VuqzCVi/jXVIclsksJ5Hv+/B7V5U2DWl9CJgEd5LCHpNzMzVEp2MLYh56YTBJylu1b9vbUbifpSa29IqhsWypbII+JCPhsKyyM6FZySspWBWEOav8moK2WvmxpDWqqlQx28NAoGr1drmSsKQQHqNKSR/stfJ6aZ+2pCBuwyvbF1dzLH4GLADE8jqjzCsVtyqPlQcqrkblo5ViI9Xutu3ukFX+9cSVXmc5+cZaDbnV9SWEmVYaxRXQFlUu07QVTKBNeQ4t5lA8EYOZBeqCDbDrShKYi+XQd7YfnqB7UcW+0gpm64m1Vju8551vEaBmSZhLmVJWOxJQmxicwn6PYluURkEelH9GyBgbDw1JwqtAKkPke1wg4NhHhhLHTHrD1aBpiT+ThYnl8mMwP8Nz4KKALCbkTcEt5IyAE8djFIAsn1QvHcdlqXjG8ZifJ2NJXaGOcQyKlxWZIcJ2RQad2I0LOClj8DB60WR2ig9gUiM7SLGj+JsgAoEpthfPyfIT5GilTNtd8r1DqIHgFX9v1/fC0LJS5bFd2wWNUr28RFJAXFP5ORED9VW5ZRxwph1K2vqJW9btn1P8TKxV7vruez+Jd97zLlk84Fi93H5nE9PoONq0pGDFlVbJLHc9pc/2cr5JBMqq7H4kHSlE02FMZcdQjyZUO+qX7hNAk6MN/fNRnPj6Bdxx9MlLGGRrKcawmpQ4Rblh9jJSziS6sA961gHklIi0+Fycuioo0JRpRdBdDZ/Lt+4CGMuxPovN7gVcWnT+Oqr8qjx9MfDkyrkFNFbc8MdmYaQy167EjRiVfl2JcrE8X78SlVgh6FU0OjoqvyuxFCB6w2veiBf/j5fh5b/+h/Kbf/P15Txd1nsMeggxwWH1iv/5K7+GFzzx1/CN//dNNJltIgOhgTinUawopbycspI88DcnV5ycLQg6dFlJt6reEegYQI+sWLLM9w4cENCIfCFWx2nSOgS8ou+T+DAx+dRsqNWaUY/mwsowkxx6oCjD8LlF58+/B8weXMZ5Wc3vwxmpHOWGR6SEPG8mMVNTUwursNHxFdul2NC5WNr0xvteC7Mrjp70SfSmz8hv/s0qR2RnEXAi+Gb5rJi6gZaD9fJbSWRUS7F9KHdhIr+cie3I0Ij46ZSLBluryAdKPYSKg5PeHTt2Imdj2eyFlXphMhTKpavg+9xu546d+XLyWxOWFEJ5CpVP0KzgtZMZwmqOf/L7r1PPwAv/aMkzYPdp+NGPf4RTD51BdCyObMiEEQOcOQ8Qs0llKFaOyhnGFQEUmxm870xa1xLc7mWvukslpOn4mj6zUkJa+uyvdRxhv7jnz96K++7+OPQ+H/a4DuPottuw23kIxgUX7nvDx+V9bqeub3D5CSQZUYbqZ6xq1t7ZVjCB1gOmVJgsBa0YFnOo09WFefu0VMRMZZKYiUxhJjSFWDSGyZEp/PynPxemJ6+N7ffSVy48Z2uNUuZiKRAgCbZ/D+ZPpfC+d90LzWUiZSYFCCGwThYSxz2CJ/zNH8pv+8xzwmwis+Pc8W6cPX2ucK7FUe4ZmUpOol5rKTIVtwtQT5kyQSLKmHg8Fo5Y0u75/6uKdcqom3I9JbUjsKfGLCtoUi7tLwUh0uKNx9F+O/bBAy+qUSfegYfwRPgRkH1x8YEG6oO4KAsW/P7gAkQbdkp78DwJLc1gDCNmP/rNbnTjlzL+02/PKnJBeSMXIghk8ceSYokhu5kSlpQPVeio3YacXS2IuOwlCb4Af6qip98fUKb4+fs21DeyqL0tkIa/+V04PT1dMClfLlb7Trj7vtfK+9wvQZbqIx70hXtkDCoO/n0pfEHeL1ew4krGjbX2e2uxoKGEmUQAmaDznqrDmLANwWbq8CIg3+tWkI0mvpL2LHSXhoBRA3fSh3AotOzxyIAi0MvFhvW2LbriaDlahzZ9O+qC9fAHfbB77NAdOjSHJr/5d86Xgl8PwpsLqPeWaVcChcudy3KsTwWsq2dIwKdF7y4AUcXHLDa7f6wWRtbatytRiespKv26EuWiwpSqxJqjeMV99NK4sBlY0a11Z/OadP43eixXgnittPO1tP0XPv1FnHr0NCZGJ5CIJTE1PwGfWQ3WkSKg40M1pjAuwA7Le1Pyxf/IPuJqH+UUTBgsFpAqyZ0TkIleUZysMjmhpwmr4HCV8DJ6JPFoQDsatXYly8lXT+Ikz5JrcDWfiQrPQoxNNVUGvMPcLdWgYmZYwC2uhPIcmPTQP4TgEyV0btMjle/4Uw9lKlxfX78hQ2crVpI/JBI021VSRl6T36wuSGdcHpoPL5SsZoIXMmcEvNq/f39ZE1urlLhPL2+KSnkT5QPWSmw5rySeGyfs7mY7ZiZmhWUispiSMvVkKBi2HOqb6mEPZLZssmxd427HoTKeQgvbUFaoQsO5yZOoi5L10YjdO44UVqTJFvjwGz6OgfBFTA5Pwp2oRoeta2FHWRPxaBw2uw6fvwqZSEoqQ7k7ddz9ytfhsY4NVbt7hbmi10pxlJaSXy/TqdznipkU/Ht8fhSDuRjO/LIbuqH8oM73dmN84tX4zBf+UYyal2OHWIyoerN5UVWzcibQlMN0de4Q5hB9lAK6E1U1VciYSQxM9MGb88Nm2GEnhSgfRtTA+eMXYFZncNML9y3LPlkpSpmLxZXKLCkc2XmTgzP4xcmL8lzTL44+SkqO5imMiSMYkLGKlflYlZSsH+5gcnYYkWgMF+b6UFXrLTC8yvluKVlqDq68ZEhVIM0U/KC4cNCBLpzHcQGdywWfLYJGHFvD5mxefqVJgQbl6aWkfErGp8n4S9Cf12YVlyBTqgO7BP4nAMbr3Y69sl8ypeYwXZDlESRzaR7UeuvxrK7n4acXvw9/qgY1RmPedF3B95dwTtixPB7PgQCX5S5I5gnHKY7tZG5RJsjFCd1ug1Zl4tDeg4icm6NRlRSpsFiSrNLm83hhd+SnpmZeAqqvzlTJZheq622G3HWJX1tvkafTrrX7tW1k3FhLLOebZAHIuVhWFgnqba3iTZjMmeIhJbJbuw1+tx8uhwtnQ8fRYt+hihMMjSyqmLneYgwrte1Lf/t30acNoxq1UmyF32GKfanuPdt2IjWMNq1LAGLnKl5cy53LcqxP1S5epONKamyz6eKRyaeG/a40CMBze5krPMYLI2vt25WoxPUUlX5didKogFKV2BDgstt1CEFHFbzO2isGXG6EWI5Kvx7a+XJBZsQfv/x/48R/d2NufhY+I4AasxUjOCaSD0kixIBWVVIiI0pVcKIZuUpXlNeInGm+Up5KLCwDcVXFyY5ZTInkQ3kpmXmAqlkkJmolX8vL2XTxIFEpCIWAaThMZ35ySd8RAjooSFi4Uh8y5sTsltI/vxaUZIWfU7CZQ2SGlPkxoSJriklgPB6X5HczDJ1L5Q9k+fHIjWgX6ckQelFjNqLBbC1swxZKmBFVhQ9hOU9rZafUxHYtKz4ifTGyhYpmpYmWmlC3wjQ98u/wbATpdEImzwuJmy6VjPy11ejc3Ql9V3LLJsuFKo4lnkLsG3PpaVyO9yKRjavrMrPCrGjHLtR5mpCzZQsJJcPt9CJ10YQ25UUmY8LlyEnpbVY6yl+8SnqzBmKRKKr8VRibG8HuJ7VuCKDY7NgIOHqlCemVAN3FFagsCZ0Z1XHzkaPo0g8WANd0JoXT376AV/3uH+Jv/u6jeO873lcwky5O6oKeGkTcc/BoHjzxwB2L+lyxCfTxS4/Ivfe7HThz7hS2V+3Dzh074Pf7MXZmEOOZYWFmENxS0mIVhpnBaGwEKcRwMLdrQ/eIiXqzuwPzIgsdXiQLpXlyJBKGnrZLUYUgmpBOn8c4hoThQxYRPZQIUhHYZ5/eht0iW7MAF+5q1pxAKpWGI+tAKBXBeZzHgYP7y/puZY00HCJVVG1F2SLHPAXkK0DJkuXxNY5nBeNn/jYNGZfIQmpHlzC3OEZyL/w8x1D68CkwiJJfNeJHzQha0CGgE0GoUVyWZ0skeIhjUL8gwESVtwr19gZ0+rahvqYO229vE1njffd+FCMnJ1HnqEPDWBPqPQ2YDk/JmOkwWSHVhl04hB6cQNQMoVZrlP0unDeBdl3azbreKlcAO2/uxMGGA/K+btfgdymZ8/JePUoCulVMldWqla3Xr225fWx0UWW5WK1YBAHkc2fPyXPvtak25vgcqPYv8gGUsuy5tHzHFooTlK+juO5iDMVty+0z4RxsQQ0D433wG0ERl9LTyYpcJodUNoWsnhH2lpExVzzOSgUwlPH6x5csBuzrOIDuc+dFalzl8SMajUoxFgKhpTGVG8WBjgMrLhhUohKVqEQlNi8qoFQlHlPA5Xr0cFpPCeLSWMlLiFGOzfOM25+F5HkgnA2h2exEUK/FqHlZwCfCQQLoSJqSliRFzHsFsFFyPKsEuMWMKq2qR38pZVZrEy+nPVDVwijrkGp8CGISI2qFXlOr/SyvR5YTq0Ix2eHKJoEdqzS5oeXk/OkXQrkOkystBQGAGrW2Is8WlYhxNd+6Y2QrkVU1hyn09vYW2mkzEoTiiEQicg6sYMdr4PWSUUCZCm3hz5s9+RVbF5rQgTbswGk8JJ+rqqpaYmJrJU8rRbEcYLlEy5pQ7z+4D+FwWDyXyIpjRUNTAzw+t0inmEj0Ry5u6WTZkkIUewpxlft85BRy6RwajQ54db/0iZBJNkdIKitNh6Zhc+UNpPOGwJFITPy2XDkvqnP1qK2qx1RqDPFMGHWaqjbGICssmYljNjkBPQgEAisb3F/NWC84utaEtPlQLd5977uWVIe7knHXYlIUm29XO+sKfk5WkDWww7kXgz+ZFEDq/fe9DydOnCjLDvmHd38C//6lr+XL1C8GrVhiPaHH8JzfeoZcC4/7B7/xygKTcHRuGKHxMHaa+0U6NAoa+FOGpmQ17EM0QG5Mt+LnX/sljr3iGJ7whCes+d4QAD17rBvp8zYYCQj7k4NcRAthMjuMnJGD3XQobzZNR8CsFTCIMjYyIMmKCqIeYcwL+4feeQTiOZ4WB0F6sjmbjQ5SKDE3Po9Qe0gYJqWVCNMEpTwLnxeGpM2HeC4iQP0MJkRqzc9ZY6LVHmw/ViCtR6uA+FSukbVK0J5egVxU4Pmz3VJaAgF7UK4xZMwirofR7tyBPU37ZawI5eZwIXIa2wPtaPF2Frx6+FymsxmMp4YLoAj7+F9/9F7p42Tmho/Po8HWhuqaoAAbyXgS2awpFQO3m3vRlzsjwFiT2SFgn1wnvcTMNKbNUcS0EKq9dXja7z1RzjVxSTFYilkr5Z7vgm/ZGqWtWx2rAVhXo0rmWqtlUlLb7T8NI5IrQZgWACmr0isNyAvMNKs4wQrfZRvxVlo4XxPzmJa+wTGfsKUVnL+wPfjbJSDwQqGE9Z6LWgxYyvpku/QEujEfmUG1ow4hPSTQ8ML1q6AU2RZQ209Gx9bFYKtEJSpRiUpsLCqgVCU2BriYQGwqsagK9GqAy1bERqUtmx3LUenXQjsvvQbN0DATmUYoNI/BoUFhN5AJxQnjtDYmHidkLnFtnx4ghI1kso+YrPoR4OFkjZI4gipcAWVCo1hRrMGsCcChVuTJBQISZmzBmyTfXkzUKLGjLM8yCFXv5z2O7HZJTLxVHiQSDkSNMGyGDi2rS/Ji2nNw6NZkUfk20aNK/bVQwFwBZtY9Uv9m4seKfLW1yjB4MxMEKxoaGhRLS1MVpYKoRQA1MA0Tth47uoxD0o7F1blYSZCfK2diyytw+1wwYjlp85XkAIzlJAHWhHqK7JpgC4KHg2Wr012NybJ1jcm+pEhCUtEk+mLdcKW9qDEXDKsZsxiX+0twiQyR2eQkvvaTr8LtphTSjrnwnPQNr8F0vxHDoUvY6dqPlDuOsewAMrnMolLlTd4WPPnIU3Ch//RjUvVoM6vdlSakumnDfHgO89FZBKqCyF1I4/df+MpF49aVAN3FTIqx+ZGC+Tb79vSlOfldHOyvvKeWQf3BgwfxoY//tbxXfH3c70033YRz585JifTlJE3Iy+S0Inneo32/QCBTJyAvDY39Zo1IvAg/U95FGS2BYS2twzam48XPexl+7UX/E3e94sVyPjwHyzvN8hKygq+zstr5Exew27wJbt0p0uP+XA/shhNtpuqX6llWld4mMCQgMccagkM0HScgxYp4ZP3w71JAisHey7GM1eP8RjVsGQf6+wZw9NabF1UiTOeSYuDuN/wF8IWx13cYJ8I/l0UFXjevmYsKNBt3a74829SOecwIOMbKd3K3NEqhd+EyLsBpuuS8OXa5XR7kMlmEcrOI6WHkfGk87/ALUF9bL0ChsHBuacQ/3PsDuW+qct2lFaVohT7+SdWfjAtODF0aEVDZ76uWcch6JpuyzTgR+jl6cyfhMF0iGZexioUaXDXYsX0HbvmVw/irv/5LnDlzpsBgKWatlIukkURXx/Y1MVV4HjU1NdfMGFEuNnNRZbVqmdznUw88G1+a/JwAT5SAq9cXAD/6wrn8TrgL39GLmWnLxUYYa9yecxpEbLgpcDvmMzMYS+bHfNOGnKbGfP47YKtBMhtHJpve8LksXQxQALqSGj8DPzrzPcyEJ9Da0AGnzYV4JCryRfqckSFFQOrWXbfLos96GGxbEddD365EJdYblX5diXJRAaUqsWHAJZvMrdtz4HrxcFpPrEalLw23w43unvMycc9kMviLt7wTQ8fG0ertxE77fjxw4Ydi/DwVmYMnUy3AEKtEkbVE8CltpmTyZJnYcrWcyRV9pRQopQorc6jnqmRAyi+r0t2yEmoqHwUCMkx2yHGKYl5YLpSx8NMEswQc0JyFqlMMYT9pEEDKCrvdgUDAARvnyO5G2MMejEaGJHGjVC/fSAJ6FZejlpfz3lRcGS3IbCgl1BySuG9ldQ7q2W02u0jjbPlkVf7TNGQjPNfihNSUduPEmZ8j+2uB1bTgGdTW0YZL5/rh1RdX3yuVA6yUaC03obZWjAlmrVfucSVhMbcoCXnk5C+gZexSsZD3yAqrOiDbjH2R3jUu04PGZCeqndVIJVPwZxulDcm6o5kyWR1aVhNz8077LnirfQWfHV5TLBuWfT9WVY+upNpdacLJ30z6D3xYSZf+/E1/Af20DYfabl3ENioet1LJ9IaB7mImhTLfXqgWl4ouLXUvlRAzc5jpG8MrfuOPcGD/gQK4f9fLXyzbfPGzX1oC/L/5vW8QwMhqAwJpd7/mjRjoGZL+cfLECaT9QGt7K6Znp7EbbQKQq+eJfnUX4IRHAHQvfKjBjsJ4Fpmdx//7p2/j3z73NUmsKVHjex6XB56AG0duP4Q/fcvr5Jr5rAw8NCKAvsOmxqz+bI/Iccl54vmK15Elo9McIoNjEjyJUfHjIyOUMjeC/OxzPJ+lDaXuZae5W6TNNPquN5oRnkvIMfmMEHip05vEd4t+UzXhwKLqhNWuWrlmLiyQfTmMfhm3WfCBoK4A4bCJXxPHfovVmu9xaECLjOV8hjhON/mbkDHSMIMZHLn1ENLzWYS0Scymx5YAThsBRQgKvu6Fb0RjqqOoqujCQoLT7sJttU8X1mN/pgddh7Yh6AvC5tDRsatdjLuLj28xWBaxVux1i46ZzqbgDjgRCAbX5LXEfV9PtgFXuqiyWrVMBhlQbY0dcIWcSKVYpzELu6HYSmSg0fONbNvJMyMCmnI+YDHTlouNMta4PaWzDdgu8wcCrR2aS5iSwlw0ddh0Gy7bLghgTOA6nU2seJzVfJ5W8gS741efgFuffAuOPfgohntHkYok0Dt8Qd5ra2tFwB+EbXd63Qy2rYjrrW9XohJriUq/rkS5qIBSldgY4KIBgTYfwiOxRWyplXT+N6qkcDUqPYMA1OjcEC6M9CARTyCRjeGZT3wu+vsvoTW7A7WuBsyb3bic6hUz8bnsKIK5RjGcZcJELxGRzeUTKsrJaMzNct1GPomSiRySIkGhTwpBLMpkCA7VaU2yIq88PlICUrnyyWDcDGPCHBKxCpMdZWCeKABGwowyNWS1DNx2MhQWX+tCs2rY03FAVuPtXhuimXmEDT8Ceq2aeJb4rXD/LD9uLmJiqbSRoJqYAm+hESK/ENt2tCDFib0koEo+Q8lhx80tGDoxJowSy3uHEhluX/xFWuoZRAkPk9F0OCXJWjk5wFpYTptlsrsZYSWScyfjCJtzaDQ6F3kBMaz7S8BhEBeExeHXyYTJIRKOwq7bpW2dmhPN6JBkfkDrFhYeZaD0kYpHY+IjtcCaU/KNx6rq0XqiwHb8x/sx2DsszyiBZBaBuPXOW/Dog8cxckmxIM/0nEFTrh0Hdh4SgLrcuDVxchS/6H8Q//Pw/yrLkiuN0nHXYlKUmm+zb7fsb8BY91SBLcXE8EL0NPSMHTscu0Q+0+U8oBLJixG84oWvFmDnSQefKtX7rGBC/NE3flIAtLe+6x783ov/ABd/0g972oWoGZZjk705Oj8mhRmymZyMIxyHCMgoLzyv+MdxPKLfEVlIfA4J+NBTLpfgCJRBg9aOBq0FLrsHRiIHLQ1MfD+C1z/0Ruy8swPGmA2Ts5MijWNSGzeicJuElVR/sv6zgr2Kz7VX8yNuRoUdZW0njEgCoysUJ2a10W3mXkQwJ4xOAqjNyWqYbhNaRxpBpw87m3dJGyrw5Rzmwwp8IZOoyh5AMheTdiIwxQWGCzgl51yjNQqgy3MkiM92jObbjCMyz0tB9zkB0p5x87OFLXUhcwpf+PLn5PxWA5xWA0WKQSsG/fTiZgRaRleVX7PKj1Ds1e267Mtpd6K6qhr3fuKvcOjQobLHLwbcye4jG+VY78MYCYelOimBETKkCEh17upEf7hnTeC7VQ24tbV1RbnXjRTL+SYVx/5OVZyg2luPnQe2i69b6ThiMdaqtYYCM2252Ki3EvtTdaAWxpiBaCSKXJbf+bbFUuKsiYBRh0ljBM32DlnsWmkeuZZzWQ2IfelL71rS1x8rC4jlgmM/qxCTob0Wi4BKVOJ6iEq/rkS5qIBSldgw4LLcl/bVYDZslofTZkQpld5KItk+E+ExnBs8jcHJy/BlglJhjklZxAghcSKFKqMOXj2IXNpA1p2GM+lBwkxANxySUDFpZxQnVFbiRDPyarNeQKYadMi2XG0nVZ8VlZhIssLSefOEJIf0R0lpybwprk3YS5SwJMwoOrFHwCtWSFI+L4rxwmug5KXR0YaQMQWPlmc+qQuVhKToBbTWtOOY9+c40nwzhmcuY3i8D9W5EOq11kX+S1y1pQ8Jg8yE4itksXCyvghGWFK5rQiRODznKXjg8jHYs+RgKLNheU9XbWxVFuT5pO0JPO25T1lS3a/UM2jv/r3o6e5BPKyAxBlzQgApygYKcpqiRGs51sJme2hdSTvxXP/ize+A86QLukaG3WLRpapYls37kPkEiGRICXfTqm60ADCy71L6RJNkGkyzj+Wy2TwLzUpUTDG+XWvVo8eqjaQQwSv+BOd/3CdVyhwCAKXg8Drwk5MP4sdf/Dnagp04fPgIJsNjCMbqUa034NK5gQKbptTDpdZTj/hcEicePQkjs2ByTyYDq56S4UDAj15f1rUWj7sWkyJ6IbrEfFuzLZgcU2Z7IXoG1dl6+B3VIjHL5NIFEOxY70NoSnYIj2jw4qD4nFnHswC0oWP92NWyFx2ZXciaBhymLn5JBFTobxTNhVGTa5Jnnswo9g+ylAjs8EnnWENZLIs00KuJPUtJ6gjCmOjAbpHVqjCVPIzsxpSOer0dD33zGPbVHkY8GUebZxtmomOIGTEBe6wyDsXjp7WGwnGTYCor0dFHjuMlQRG2V0ZYpSsH24EgGmWRA76z+PuvfALV1dVIp9MF0MViOVrVCYfm5+VaXB4ndjj34VK0G4lMDLVmI5rMTvG1SplJBMDnxxSAjQsPBM1bsb0gNTbz77GNfnruh3jWTc9bdP838t27nBT+8nA/bmm7A7/ofhCIKy8utpPVJ/nMhlOzgNfAs48+H/d/9sv48CeW9wIrBdyb0YBwJIS+kVNyDe3tHbD5AX1XYkXwned77NgxfO5TX8DE5Snxzno8VQNezjepOAiIHvf8Eil4ZMGkXHsUttE8wkzbrOqAxcF+WV1Vg4ncPPSMoyBlXRSU8+j1mDHGMW/MiAH/cp5SG5GuLwfElr5+LTJy5Xu0EpW4waLSrytRGhVQqhJX5F1QLq4Gs+FKPJw2OyQB3NmC8ePjmBmfRTKWRM40MBDrgTtXJUBPp7Eb08ZEvkKbjp04gFlDmdwyIcumc7ic7sN2+14M5nrRYu4QxoIlk7DAEjlePhmg30kNGgWAIsBDcQqTR4JLndiLEfQJmEJwa9Icwhwm4DRVlT6CVASm6tAk1ro8x1ZsQ8aWQsKIoFnvxBzcMHUDTqcL1b4O9ERPIJydLQAOvM8+t3eRKe10bALPfeEzRd6nHwd2NHXhzOBJ9MwdE/+reXMqD2rk5FwJoFnTZCaI4oPFak0mWVRpqQbERG+r4mWvugsjpyYw9MsJ5DKUEXqgg6weC2jJIYkEco4sdtzajpe96qWrJlm9fRfh2GVDLBLBTGQO/io/6vz16MueK7Ccbr75ZrX9Gr3QNsND60qC10jz6tMPdyN+2oSe1cQkmcCkAJc2HTbDjhljFB3Ys2jSoUrdczvZXMAIfpZGtzPGBKptSrrDhDSRSMLvdxT6Ew2YV1oNv1qecssBXgSknnXHc2Ab8KHNsVNK3lvbd08eFw+lamcttJgdPed6MG4MiZSOHk6UeKYjSXm9GOxRlfJ+JJXjMpmcGL1b+5ydn8TZ8RNSATPgC0pBAfoYUTaWdWcXjbu8/g+/4WOLzLeFdZMJozt8HOlMBhkjBVvOCUMzEdMiSMzFkDWz+PGDPxTw1JFxo9nmRRrzMGOGVO9qa1NSQN5DAtzfffTbqEu2IqZHUG+2COAox4KJgFYj1eriCAv7cRv2IajV5scfxfghS0oYRejAtDkusjTKiAV4R7Uy+c6zcnI5A3a7XgAxXVwwSWtIhjIwbBDz4jH7ENKppEiPs4Yq9lA8fsq5CweU/lSmgGdkcBEsswzHKY+WiqJFRszLhciNqhwyTlkstXIsx+ZdjXBVO+TcjcuNGLtwGdv9u5F0kAcbQm4uCXvSgTo0YgAXZN8D6EYDWlGlVS/y4ePo5Na8wpjV44YAXs27Gzb8vbucFJ795fz4RfRGe5HKpAUUI7NNPdd2ATXFX5BjZtrEUO8QnHpuVab0coC7dS4rAcvc/qGHHsLdf/wmzA2H4dGrwCHGbfegKlaDXI8T973h42g/2nRDVwNeTuZthSXzfsavP1kAn0unL6xhm82pDlgavAfz0TlhMiYdSfGM4ne/5dfIoLSbTO9213aMGYNIJCPYn90Lr634XK6udL0SlahEJSpx9aICSlXiir0L1qPzfyw8nDZDUmhNnJ1Op6yEF0+amZhOTk/gXHefVLGiJOR87CQasm0y0SJVfUobE6aSMhPXJHGbNscKK9/0T+K2yCogRBgLBlfylVBDASTKF4XBCR0TJ1aYIrMphgjq0SzbkG0wg9G8t0+vJAwt2C4yQKl8gyyCqBNJIJlVeh6UCrmm0FTfjGw2iVQminZXJ+LxEBo8iq20x38EFyKnEM9GUIMmuBzOQtWaSDYMT62O6iMumSyynaykLF29C3tze/Cd731bKuo1oE2AH6Z9qupeKeimi7+VQ7OL3GArg0nRjtvapSpZeCyKy/2DRMeQRDUi2hzoc7xtRycCLVWoucmz7MrsSqym0r7DoCnzZnqhXQ2WEEExKSlelYNP94v8Sxhl+efKSG3HhdDZJb5hVr1H+nflsjllyq8pCSn7buG55D6yBFBMMeEN1vvQfnPDsm2+1Z5yqwFePK9Xv/yPkR3Q0ebqWPRZGvk6sx5U2+pF6pRJZMT/J2JG0OrkuSg2pZjshmNSZZFMBqtSnjdSjSpHCOmsAqYJclNi58i40KHtlmdaj0PkjulYGmfOnIXWkZL+xX7GtuH5dRxtRk/veaQzKQERemNnsD+5H8257bKP3twZqXjH8ceWVuzIQfTCHfIiZ5poI2hu2BW93gBOnzmNh3t/BpfbJWyZqcQEcnFTZGRpIwmfHpDrLA4yli7ijADolCNL28IUAJrPupLJKamfW/OgwWyRcYKAEMfMhfL1HAcXklgCPbFEXFWgS+uIazFoTg27qg7gePohpMyEbG8xxVRRBQV8U6asKoXyXOmvp9h5aqzlY+8SuVwLVl/4mNHHcfOTbloXy5H3/k2vfzMiZ+kJpVguocg8/vlHnxJW1BE8CWfxiMgKWY20OJQzlmoz/lfjaMBIKAJX0LGhZ38lKTyBR35/jWWG0WC2IqBVw+awFzzkxKcrf8ywMYfu8VPoatq+Lqb0epgq3C89GH/6bw+jOt6GNud+5YeWm0FkLoITxx6Qyn+BqgDO93VjfOLV+Oy/fOaGlYesVebNWNc2V1gdsDT4ufnwLBq0gCzQpDIpRJMR+T6wGHc2uw1+tx8uhwtVGT8uV3cDuxLo6e19zKTrlahEJSpRiasXFVCqEhvzLmCp7fH4Ij+pK/Ec2GwPp82QFFpJ6Rf+8Ys4c/wsxocnkElm4PF40djWgPr2WllhP/HIKVSHGxBLRzCeGoHD4ZTkkZ46fZlzItfgdjT3HMB5ZVzOKjeFZElN8KUUuKEqtwlThwwUU5ckikkSfxNYYjChZ6Uo+kZxD2T4cAWbScwO1GEQPQI6EbxqxY48WKXkMOLVhDTccEvCyBSHshq7T8fJoWOSIL/3ne/H0PEJDAxEMR+3vFBs2OM7jMn0GMbNfricTthydiRycQTbvXj/3//NImZKcVLGSlw3tT4BmURKVtfdWqAgn7HagOfF64yZYWEOBDzVYgS/lR4hxavN9Hd58vY7xecna2Sx7fk7CnI7AlJrXZktTrLKVVYs9hQiUFAMlq7HC20JaAKbgApbWXnS6XcgnJhBJk2WjGJAUZrn9rgQcKhKKuxbNG4uAI35cxCGlJZD2kjn5ZEGsrmMyJUIRlgRSYcR8k3h4JOftGybl0ukRY5mZEXSdqWecqsBXmRiaE1ZnHzgLHY6Di75PPtMi7Zd9es8q8eWtSGcCGPEHATxZysZ46/MuRSe+KQnYjw0WqiUZ7gNkczUGnW4EDuN6ky9jClWUDaVyWThdLhQqzXAyCTxzNuejY7WTgVyawaatjeg5XAjBn/eK8BUdaYBE2dmMZoeQsZIIoyQANYEmJj0ncdxGZ9qzHoMoEdAJMVQyorPE8ebZmyHK+cUQGw4PiiG4CFMS1EDVUSB49dCW/O+u0w3/KgV9hHHOT73ClpR4zgBKT77bK96tIr5OMGmYoBTQCXVcAv9Kgthi8HQiNYglUvCqTvhsXlFjkvzdiVWVse0vPcMSgblmrPyPs+LvwmY0yeK4ykr41UhkPe5Who814geQiYQx5+95U+X7UvlWI4ESd734fcuYrnwNY7x9AOkVI/tY8kWS4F7RqFaKiByv2LWyWZJ4fkszSYmUSeAVI08YwIOagtgX+Ec9BrEcmH09l/cEnaS9cwP/2watclmeJ1ViKdjOB8+CXfOh+YTHdiRPST31IzmRC52+jsX8cqXvQp/99m/vaEZU2uReW/WNhsJ7s/vD2B2fFL6tsvhlh95igrffwvHmdWm0NzYXLYC6OMteM11dXWPy2uvxI0blX5diXJRAaUqsWHvAjIAiuNqlKi/GpJCTpIsYGbw0VFcvjwIPWbHTv2QMBsyiTS6T5zA+PEZuB1e2LNeNAc70ehsR0/kpNDUd2mHRGJDn50QZiTRY8LG8ya7Sa0052U1lDRBl79Zd4mgDednBJS4ok/wRiVVOTH9ZflwJil+BBFBSP4dxqwkUpyQzwpYxbLm5PvUS7UzymHoG1UsR2EiNoUxMbGlyfDY7GU5LzI2PpBfff3nf/g8vv/tH2I6Oo56vUkmlrd03CLeE4lUDCOJAXQebcF7/vovl21ffulwn527OmCec2Eodwk+MyiyFDHyzU9HKYMhc4ssqU5bF7SuBUnH1VxtvtB7Ucy3mfRfycpsOWBjZHYI9hk34sk0Hhk9JuCMzabD4bJj+67tIo3icVbzQlvY96TIU/c4jxTeS/TF8REaUN/UsGnyFet4U5dmkNAIdnrgsgCDnIl4NAHdpsFt80olMPZhMlEYvD6GsAb1LNJaAi7NDafmlv4+YRsUEJAALIHBjo5WfOTvP4Tbb7992Ta3Eukd/j0Ymx+RCnM09LZW1C1JG/1S+k9cXJen3HLMEb5O0Mg61vjPR+HIuZByp6G5dTiEQQLMpacxn5oVZlDBd8fMoi99Vp4/r+5fZPpPb6j4TBw/++mDSAWiaNDb5XVK0YbsfRhOXSqA3GxbsshUCTsN8VAUuh2YtI+gbqIBVfQmqtkmzxsjMZCAP1aDaOA8HBNVmDRG4U1UocXYhl6cggdeOSeOIb04I15OQSh5nXVuBLKHcFFYS2R4Elgle4Z9gmw5XgvHJZHhlRiKq4ZTvwhwcZwjK1OYczTGF6lcJs9nUmb4lN3ZTXsBsLJCATN5xlQRAMP7HcrOSbsOhHrRrHWoAgWaCYfuFKCfYBolzgS+yIrifhRTS4OWB/7570a0YQLDci08nzEMCguVMufisZMVUKe1MaQ8Ufza7/xq2b61WmK/ZNw52SOA7hAuYQYTqjqq4G6ZQtvIPZE7omSGbNx0Ngl/dRWS8+kNsYFXk8Knc2nUSl9WvdmSUJYL+nNNxoawFaGe+UkkZ8gkdmM6PIXBVC8azDYBxJBRzxr7Er+b5s05bAvsweBPpra82Mm1EivJvIv742qLc5stF+dxyZBKBsYKhv/5Iy25J6ooiKkYVVfgkXajhMhjbaoibSUqcaNEpV9XolxUQKlKbMy7wOVBsL0KoeEoEqmrq/NfTlK4XJWq1SSF/AyZPL29vbj/n74sJYK7z3cjEKnHXHYaTXoH6t2UsCmpUm/8HBpyrfBpQfQnu9GudSEajsDr92CP9wgeTf9MEsd4Opo3KjfyjJiFCnQWC4pAjHia5P/OWiv3Jv07nEibypicCRWTFHouEHjiaj+385iKKZVGQpI9llVmpTO2gSPtkNdoKlxYcaecLO/P4jCd4iMVxpyszhMgmJ+fR21t7cLq69/dIu3z8MMP46tf+DcM941iCkMYTw9Im775lf9nTYAN37/tKbfgF5fPYGfsACLmPAaMbsmtLcYC99Cgt6JJa0PGl8BtT7n1qn1hFa82s5LTyMiIAEQbZWmVAzaS6ST+8xf/jq7MIZG/kUEiSWQO0FIaLp0ZwMCly7j9jtsF4FjOC21h36llKk968yyh8U1Jxoqv5Qmtd+LHc99DZGxOvNAoPyVjhZACzafZ3V02tzCWaKDPm0pglvkz29LvqUK9vR6pbBJz8VlktCRq/XXImRk43A7c+qTD+MJXPrfq+TKRbnC24sdnvyfMIvo0WRXmGOlYSqpOserZrbuetC5PuXLMEeXz9MPCsZo1JyKIiok71WrxbByazcSwxupzTnjNKpHxMvj8nMJDAgqTUUTAjvfeCo4JHq0KuVgGY7ExtNXtVJ8zDextOIzTc4+g2diB2eyUACp89tmeBGMIKA8ZfWhJdUBPOpHQUzj16GkcuvkgYkYEj/Y9jNnQLGLJGLzIoVXfhptuPYJTj55BLBstmMzzeeQzyHGC+6WETJhMmg0xc17835RXlDKuJ+hzJvyojEEckwj2WKXdLUyqGEThNXJbMj1joPn6ghyZn1fHU+wj/ub2HAsXgyyLfaUImA3kemRsJbuyRevEmKMfsYySMk9mR1Cvt8jxCDrxGATbrPGTywI8S0qa2X9p0k9W1EHcirM4VjiPBKIYQqRwr3j/uEDgr6vCr73oV/H+D7+3cI7r9TgrHnemp6fR2bAdTWhDA9qF2coxX3lfKUmhBfqxnVSxiCTsgaAUV+jPntsQG3glKTyZjASQoVksrbwx3HL70wx47F6RtHs8q8v91xNs02Z3B7pj55GMpeX71WOo54wMzO1H2zDw6Ij0TYKKyUwModg8XD6vgFlbWezkWo2r5bm3WhAIM3WzYPhPuWmDrWWR4XnaSGHKGBNAitvRg/FGZbetJ/j9MTk5icbGxhtWhlqJx19U+nUlykUFlKrEmmLJqm5fL9ozbRhOjaC9q/Wq6/wtSeEOxx4BlFh1hwbjpVWqyBgolhRaq4UOhwP33/8lfPzeT2B2fB6RWAT+XDUaXa2oaQ3CH6uVJIbJnENzIZqJwuevEq8Yi7XAQTWejWJY7xMgw5F1IJILIWUo4IjsJAOjIiNRCdoCC4qhqj5NiMFv8d/y2xxHs9YJj+ZDUo9LciDsMFMxnJjIcUdTGEHOlsWu/Ttx399/CPv375fKXOPj4zjUfjOqWB1Kqy1UuSj8LpKC8H0yVMi2KlcNg18Yd9xxh/xcCa3/pa+8C6On/gYTZ+bgi1ehzn6zyBqzyEnNKzIbkmYc8ObQfqhJTMgfi+B10ZfnSvpyKbDBvvLVB78Ab9avVvWtY+WBTvrEkOmRjqfw8M8fxpOfeueyXmgWY2D1ypPNuHSi54qTsdJrYcLwE/MHGBm/hNpccx5gU+bTlBENZy+h0dmKluZmtLS1oL97AD7HYm8wSjdy3hSet/9X0RBoEplQf+Qi7n7ra1dtd7YHgeOx3gl4wkGRupUGk51WfbusyrOCXDMa18wiKWWOWD5Pxcfic6wAA1WpjoBbX+oc6tGEoL0OvcaZwucJ+NagXiR2ZABNmxNoIZvHMtM3aOqfgUN3QM/ZEI6FhRGVzrAapx2JKAsnKLYPzcJZMZPjSxQR6Td+MyigUSaXgZkzEcuE8aUHfikASr3Wgu3mAVxCt7Am+axzXxeN01JtjhAXPaDEvBqmVMIkyCOjFUFyMyNjUjt25kdWdb6D5gXUmI3ox7m8WbkHw+gTsIaf4xhGnykB24UFquR6lscTQSEWEOBvAivFHkkEo3h9PDeCSU7TWZCAyi/iYqaJ/ux5YXZV67XowznEbWHsqToi3lv2tEMYfXEjKqxHgvuExWhmTpA0qZFtBkTNeQGdduEQhtBXYEUdxu3CmKLpOmXQPGcy/6S9a6rwlGffgf9zz+sXJfVX4nHG6/mrd7xPClTUao1wmR4MoVfYsgQilS17XDhSCxCdtEhhjN5IgZG1SOG5OMLvHvaFgvdWGU+prJmGZgectvWxWtZidG6BZ132QyJZNTMmJnMsqrCrAHhabDvFJDOknxsZVR2w0dW+pcVOrsXYas+9jSwkZvoyePrB5+QZp+cQj7HgAe9ZFl6fDwc6Dgi7lbL5rfYmrUQlKlGJSlxbUQGlKvGYsUmuJHgOzYfr8dDXHoQr4YNb94jJrhVGLCcl11OeGI78+l5JpN7wJ2/EYO8wjJyJh37xIKrTDehwdyGaTaEr16mApnQOZ3tPo13vwphD+cJICfKsgVgkijFTvcZV+ku585IMtpo7BbiK5yJoNDslyWFyQ2kceQJMOFX1MWVozhVBJs1WZaqwOSfJIk1kWTnPY/qQtMXldZ6Tz+ZH1s69sBpXWsn9NB1JewxVHU58+YtfxxOe8IRFE7iamhrFPBKjYHXvrLCYUsXB7cYwsOrq9pXQ+nnPtj2hVbyHMiEDA70DyKSU0bBUwXI5sHPXDjiC+oqm4teK8fd6gI2zIyfhjvvLyk6LJTHsF/F4GiMjo2hvbyt4ofE6rN9q34uNtbey8mTptdhtdjzz0HMx3j6CR/t+iaG5C9BymiTFOVsOcOVwdM8t6GrZLduPBcaQiiThsrtLJBpAU7BVnqX1SH/ZDqHQfMF7aaWgTGQkHJGS82thkQjgcnEY+1w3FV4r9nlSYQqYSi8jVpIkgBTTksJaZJU0S0JksSAJHO/FUemTBJYIdjgMpwBMNNNmOs1kP5NNi0A3GosoaaPpwOnIMWEXEaDh80lQhVJgVtYkaE5QjMAM3ydIZgEr9JZrwTZh/jBJJ6hBsIW9TVXqVAANwSOeAxmVIm0j8y0/RljvMcHn6xaIRkaRw3QJaMKCCTw+3ycIb7E8ZzAuY1mHuUvGTxsZGmYOOY2MSDLreJyEAFDS7sjJeQkr1IwL04VtQl8nVpgrtHtewkdTbZfpRbWjVq5vu283Qv4pjCeGsNO7D3FXFKlEEgPpbvjNGgFLExorfuXkOvlcsRopfbJ244hc7zbsES+7EfTnpdQ2kTVLYYp8O17COfQPXYDP51uzWThjNY8zAr8DvxwV30FeO6sVKsDaELCe95aAi9VWStpIQD+DRCiFyelxdBxdfxK/mhTebnNAs5vw5nzCrAsZ0whhTry8LA873rOgXgu/I4BqXy1m3MOrPmfFDB4CzHyeR0ZH5Rrb29pRFfQtYvMIeEbwSdeFhcXvcF6pZZxfHAr8tMl3LRdzcok0fC6fLKRdSbGT6ymutD9utTdpS3Wb/BT7ABYf/2p4k1aiEpWoRCWuraiAUpV4zNgkVxymKdILp5kQUMXJEuOyim4gmo1ixhhHOpvA9/5rGA/+xyOoSrKstg0n5x8WKU2drVFMvHXDAb/DMpRVK670iknkEnA4lY8IQaBsJiNeIvQz6c+dR53ZLPIWmjrTC4QHF/8PzS6mvzEzhDFcRoa+UJQnaU7x5rCqOrHttmE3LuMi4mZUksbttr1iOk6vl0ljWGQpTbY21PjJdsohmUtA85nwdTgF4HnPMqucvDdM/Ip9UIQdZRb9mwXP8uCUldTyc1dDBjp0YgK33nmLMhXPZmG32wum4o03bUwGeq1IFcpJYk72PYrt2kEMmb1lPrFYEsNS7wTs2tpaMRWawtve8OcYuaSuh8BPT/cFPG3Hr8BNAskq50IpHyspbTQZW07ew3211LTjV5/QLkBOMh1X5+70ojt5Aq6GHL73k2/Bn66Tfh+NR2VfXpcXEX0OSXcUbsONbz78NWH4OAI2PGPv0+T+rXaf2N+ZwHbpa6u+2aC3oG/klJKQlAErC/3mH+9Hf89l9Jy8iLhuFNiW3YNnUa9z9T6BaGKhYlQ6l0GNUY9pbRxpIyFgkQUw1ulNmMmNo95ozafINpHaEdiww4ULOCljwB7cJCAEn8fL6BH2EJNpgl796BYZ2jymhB1FTyeCFgSr44gLe4nAEBlPHIVoTE6giT2JjCeC3EWiK+W3ZeYwj5mCfI1sJrKkUkjDny+iYAWBGL5XbKjNIOBEdhOv16cF8hU0Ia+JR5XmFMkwz5Pn12nuEYCL3nqWVJfHJqgWF7YXJXKxAhDFYhA8dgJxAUCkAp2YjWsw8v2YMp92bYdcn2HLIVjnxxMP/P/tnQecJGW19p/qND057eSwmc3L7hIFFMOq13iBa0BRQQzXKyCfiohwJZhARb2KYLpiFsWrYEAxIIKBzLJ5Z3dm0+zk3DPT3TMd6vs9p6Z6enp64k7sPX8cZ7uqurreqtM1/T59znPORIuvSTIw+vv6kJ6VjtJoGSLOEELZPSgurkT9kRNSosxjoODi8nskQ5TCH+/jtrG53XxCvO6kS+igiInMemX8JIpSY5mFJ066x/KK4z2rImMpGtEu54M+gCWoHsqktQRh+x0hJYQ8/iFvQa8zHbuO7cA9X/8yZrq7Ltfn5+bD19aJdrNVSvnKzKVWCekQvP78O9xmNMAZMnD6yzaN+/6Nz+BhCW5TbauIviudm+VvULA2iHCOG6aZEfPGu+2OW2MejLzfGFH5Kz3R6OS9FImGpt3sZLEynnl9PBN5F862NynjhO/D+fAmVRRFURYWKkop04LfWM5nLTA/dDXv6cCrT38DahsOYuehHWjvb5UsJU4uLNNdB/p7emXyF3R1ocvRLaatrqgHPUa7dMNimRw9oaQ7lstK/bd9n6SDFT8AG4Z8M98WbURftBe78ZRkSFl+ORGZWLG0ga/HiZbVdjwoE0h+S9+GEzLJYKc7TniYQcD98dtlw3BihXMdfGa3lIow+4ITnr5wFyKeELLKC9Hccxj1/hpkZGSipLII67euxTve8/ZxyyXpT8JuedINa6zyDNGorGmrdKYyXPK80tLSOTUVl8ny4Mm1e57JUoWTje3EkhjGUHggKpNHR3Q4g2bM1zecGAgO4JFdD4PVno68zNh4+M1/beCoZAF6czziJeOc4DhPZjI2VnkPJ9s0GN9R9yw6uzuHuqDRyD+CQUcQZ685D6uq1+Bocx3a+/rhzHQhMOjH8UEf/NFelEeWIdOVh9LsalRWV0jJafBocNLXySrUGf/PF48xHA2JH1QgEMD/+8BH0Hy0RTq1mY4oSpYW4+JL/x0/+M6PUPP4YWQP5Eup0oBvEBEXEApFUNtzGI39DQgxoSdKH6SICCjs0MayLvH2MSMiKvI/lsFybQ86JaOoDY1yP2EWEMWNVtSLKEQxiiV9tvjB/VEOpwDRhXYRmphFRONtlv8xG8nydIII3QUokmfa2U0UgGzPJC63s6KiZlhEbqs8zoAj6sD+5/bJb8u3KSQlUH2wyv0ourMRA+F7sNpcLR352CHRFiKY4cX7H8vMrCYLAyLm9MEnhVS29xEzQf1mr4yNZWj0rmMsWdlk/PDhkvuh1aQhQzzKKG5QcOG55TLmeDGbKc8sQrE0RnBbZVlGRCazg84A8kvzsGb9mgSvJocIe06nC9mZOfAWufHQP34t3TwpvDOu+/r6sKZ4g5wDXjNmesmXC0NfTlieU9YjrudxkWTCfXw24bAhPsuT/DEhLiMzA2tZnpQ+spTMFn4r3avlvAVMywieX2BQqOxlxqwxsuRXvLWGRJreSDf6XN3YsmULZqq7bvwYBoMhNEcPwWOmibcUs3ZZsmudbkPigiJoz2AHDjn24o6P/WxSGTxsUvDY3keQ3puLXPdwxmOGIxODvgEcrz2OdRvWoW1XM2654VZUrChDf12/iHOMp1ijEL6LoiaODflJESlzNAz5siVqhOQePJ3yxsXKROb1M51NO21v0jghlN6fc+lNuliY78/aijIbaFwryVBRSpkW8g1wJCIfHOarPIo+EQf21aC3uxdd/g754F+JlVLuwQ/KNdgButzwI3NhuEQ6MbE8g9/uc1sKUpwoOU1nLMPK7oLnGJqUsFzuhPMwvNEMlGG5TPA4canCapm8sSTFmhx6hoxnA1Kiw4kOPwQzg4ulMfzGmz4hnGhUY7VMtDhhKzRK4TE8yHPnoyi9GNGMELKWeVC9tVw62tkTKP4eHBycdDlaUVER4LQ6M/F4bBJ9OmwootGIVJ63QFpY2+vsc0AorCTbbiZLFcQrzO9HRkbGtP5gJpbE8Bpwws3Z1BJHqWTQ2NkPyRDBJ3IcFT3V2Hb6GSM+uDPjghPDDKc1cavZXyMTt/EiYrqTMav9uykCQDwUeR7f91d0NftQEC1BkbEMDiezFE3UhvegKFqJrv1+9KeFkO1dgmxjiQgvGXnp8tzePh/CeX6cveHsEed3MteJr0EPuYqKSgQPBWQCyzC2J8hc3znQhpr+3eL3Zo0/LO+7x7/9LMLGIDrRKmVvFJ0pSC3DGuS7lqCD79LwCRGZ20MtcAZYDlcr72XKR4TvY4o/FL6ZyUIRnF32WFrH91ALGmQ9S8EacFjEG2Y50QWOGUY03ea1LzSsznx29iLFq3Isl8k97zGWUOON+eXQG84eP+8xFKm4f4pzhEI3n8/7ijQxYFdLk13zamXbMOplzLxP8TwHg/1yTngumIHlhleELh5jiVkl8cSJPfdPgYz3xKDhFy+tAQygHCske5Qn3m1SKKKHXpZkelFMozBF/6VcLMEJHJJSwogjhKboMRSZ7LbnQIaRJZlPfA4zsniO+Lp2dic9lHi+OB6Oj2WQFNnoEcWup2mFLqxduUp8A9lh77F9f7OM6J0VKHPGGSj7B1B/sBbXX/txfO5Ln5WYY5kyhUpe2zIsQx32SCkiz4ldJsfrY3UzbZUsr5XYiE60yX14rGxCyxB/7OPYv+8AHDkmiqOFsexFuzSN9x0rk86wsqBEFFwl17SffytYpjkkZvOcUNxm3ORlZmH9mvVyXNMRnhMzWBLHkO8sR76jU/5+8cuXrkgrOswWLHeusQz7+VmAHS/dWSjLGb+EMD6Dh6K2lMXGCVI2Hlca/L5++Hp6UJxreeO99n2vwEN7H7E6NzpdMCIsFR2InROXx4lQ0BIO6SHGOHLQWsCENFaoWnlqeBRNZF6fyFjehXPxpRRf1+6YejJfSqUy8/1ZW1FmA41rJRkqSinTvqF0dHSI0j3TNxTum74R44kQDXWNCB9yY7AnjF09T8uH5ZXYgHzDElV6zE75dnsVNltG30OtxPlbTJllUlklE1N+6F9qrhny9XHFMgj4wZ8lMSVmpXy7f9Q8IBO4LsMqYyDMLpJMiSGzX364srtJMWuBH9opXG3AmeJHQlGMPiWcYITcQbR6jsNwGkzLgjvTiZe+5iV41/vfMeKDmT3RmMqEgz5fjnQDA70BmWTZE714g3MbTlalu1+G1aJ1Lkn0qLJLqX783Z9i9/N7cPTwUfT39osIkO7NQHq2F5vP2YhrP341zjjD6s43E6UK8aV/jYebpWyL5vnlK0qnXPqXWBLjcXnFS4fQ5Lw92iyZLcwkGXr1EXV4zKLzmF6UFJRJBlHivplxwQlu/MSNE/NkMDtpKpOxZCWQe/fvk55ly5ctl/V/3fknePwZIl4wSydqmDAcpowpI5qFfKMYkVAEg+FBpIUdyM7Jso6l14/e3j5keLLR4wtKqRV9RSa6TpysP/HEE/jpvT9D+4kO8O12YN9+lASXoj8agMcxlLnipPl1DTpCzSgQnyWaaLO0t1zK1I6jViarFB5YrsWyWWZRUjg6Fj4o71uWmbH0lkIyBWtm7tjlcRQAmLlEgYT7ZOYSxZg9eEYEJGZD0uicAlIfuqWUrgSVcg9hdpGVgWlKYwPLn2nI6B6m+MVRkOJjluXtwVPiNMVMGQrszTiONtOJPBQNZYnR48nyGmJ2U3yHO8tvCJKpxWOwvOtaZXzszrli0zLsea5fsvY4To6U+6R4z/HyHsUMJsdQzLBMmZlf5cZSudeJ5fdQx1AMZa1I2bIUJnrlHsjzbvvoBc0A2jwNiESszC/elyl+ZZjZUvLHDKUiVEgHQhYcS1c91Mg9a7mxDvmeJUOxGUXIGUKntxHh7CA2bdwo/maWEf3fRmXc2NCnrdRdhd59kRFip5Sfw4HjqMEyrBURrQOtIkTZfkkcUyGK5Z7Na8FtEjOl7GzCyRyHmO/3duDgwYOxDnUiYvOLEAe/CDHlfNJbTLzJDBeWmmuHvK4Oy7nh+ecdmzHAvznnrXkpTjgOTTsLKD6DpXbHARw9ehTZ/sLYGNr7WpHuzBABkbHI9z3vUYfD+6Xc3OEyQF0otyAbm1ZvkPcp780TZfAwC4ui11h4HV6cqG+QexuzeZ775w6UbSrAgacPyXu2ML4U3mGgYmMJjj3fKNnQPJ/W32hTBKxG/zF87D0fwqnAZMzrE5nL0sbJfimlzP5nbUWZLzSulWSoKKUsmBvUc889h698/qvY+dRuhP3MVnLCneEcEiGuiYkQUnrR0w/40tE22Cz+EhSL8gyrHIY04qhMMClIEeub/2EPJWuZIVlT/KDfZ/Yg27SyEexsFk7oOFlk6URPtEsey7/REX/kUiZnC16cVHFSw/8oTPE3RZ8jOCBTCApVfD6zq17+4pdR1ZLuhW9+53/gnHPOmdFU1qKqJeje1xErdeAkz4j7sCqZYOwehqiUDBVVz36W1GRK8DixOHL0KFrampEbWYJljk3WeQ1EYQwCLY/04kNPfgwvuuhMfO7Oz5x0qUJi6d/qtI3IdWchw1Mw7S5F8SUxvKauNAcGgkGkObxY7mL79hrJfqBnEIUdp9O6Lsx+OBY5iHLX0lElSTYsAWLGBSe48RO3ZEzFMHasEsjMZXnYs2cPfM/0wh/ph8N0I9e0vKIEkz5KESlvpaBj+azxT0sUg6EgwiEvXG4X/MF+eB0ZiIZNZJi5OFC/N6koRUrTKnHnZ7+E9q52PPv355EbXoIMZIrQ4jcoUrrgMF0YNIKIRiPwOjNQF9iHLrRhGdZJppF0koMT2cjFQeySCTwzmLhNLwbF/4jZMRST+O5l9iOFJpa81mFvrDyOwgXLyaRkl5PlIaGH9xoup/DEQj2PbJEXy6ii55Ll4W/KYy+8sj+amMffhyjiiKBkWN05aVbO7Cv+UAxn5hbL4wbMgOyHggTvKnwOBTY2VLDFKCknHCpr6rSPgcISSkR8opBBpyQ+rwNNksFk+d5ZHT3tx3zNArNErjFFoy5Hqwj9LJ9j1h/Nt20Yvzwmnjdu7zEsM3L7/+htVZW1HJ2dFMYGUIFl4hO1F89IxhUzpviYpXoUvepxSEQquRaOMPojvUh3ZMLpdqAgqxBe04NguA9/2/MXvGLzq4eN6JMIQUTiI9OLkoRulCzl4znkVaPwyHOTDeu6xjrLDV0nnm/Gk5RhhiyPosTMyImOI958v723Cfv27Yv9TaOI7d/N0jRDzi2/LLF9CLmeIqF4XUlWkpWRS5NvXlMRntecXBaQncHy05/+FHdd/x24HC70R3tj8ZSXnSXv4XCIpbBB5EbypQzXn+lDSV5prASXx1BTW5c06yY+g4f/ZmljfCZZIg6HE/39LEcd8sY7fAg/eOC7WP+zTRjoDEqMMItNBH5YHWYpgEqppJElr08/L7+jF1XbNpwyHkUTmdcnY75KG0+mcYqiKIqSWqgopcw7nAzf+NGb8OcH/4oMfy5WujZJFgiJBiNoeaQHH3ryOrzoorNEhOCHpxMNJ7Dc2IC6/n3iYsKJoT2BsEpcLCNeOyNBMqSGshJi5T40+jaNofKbI0NmusPZLJwEskSHWVidaEYFVkoPJE6ehjvYDbXklrI/SxKz2p37ZZJjWY2nYTnWyVqZOBpR7Dafwrd+cQ/y8vJm5VsCnoNQTxg9RidyzALkIE/OiX3c9m8emw/d8Bmd8HRbH+zn41sLuwSve2cAJ+pPoLOtE5XRVch2WteEUGCIRqJwDnqwxFmFnb+uwX87bpbuTWvSNk+rVGG2uhQllsScvnIbDu6pFVGEos0K1zrJNjgRPSyCIQ2UOSHnZJBllBs3bhzTK4ots2ty9kvGBSe49sQt8aha+5onbRg73nkoySnDI5GHURxeKuKsiBWOhAmMyYl7WCbRfJ8RloQFo/0yic12Z0kmYhpLvrh5xIWeHl/SeAuFQ/jzrt/jePORISFpjYimVjmZGyvM9fKCzOphtmM4OojG6DHJbKI4TaGBQizFppVYLxlSzJSi8EFBigINMywonVGMsUvUKILwPcGJPt+3FCL4OnyPsLyMXdro+2bdV8wRZXP0TcpFQey9JRkvRpoICyyflRb1iAyZU49GCrfMqBwrx8AMTPt+xt9cn2awhHipCMsnUCfLLKPyZikppqjFUmS+kp09xevB/XIcFK84tjysl3PD+wH3XYxKOS/MXqKQz8k+BSp5DQpNDjeijohkihY6SuGKWiL8sHADEfgCRv9QLLN0j6V91n03YkTQ7WqTO451nvPRa3ajGFXyRQKztSgkcD88jzxf9OPjOeQ1CrNkL8OBTK8lCvIGvmHVZvxz199ivkfjZdwEo0GsrFo2SpTOzrbKEnlOGQeRofdh/DvJ8gccjG3Hc83nxWOLSv/67TMocS6d8L1Gkawie+mIjCKK2J+76ksxvyjGKK9HYpmvCC0ID3kmWv+1hhpw03uuw8nCfT/3rx24YNOF0rCAGYo8Ay88s0vuS4TCFN/LxBtZjc7MBmzYxPfjxFk38Rk8Yv4+qY+fhhwH74XcL4+xqKQIgz4DDZFaRKJRHDUOIDdKmTVHBNI0R7pcQWZFtqIR/Z4OfPrzfzxlvo2fyLw+EXo5sXTuVDk/iqIoysJEHcaUaTPehxi7BC/et2is7T55/c147Nf/RGlwGao8K6XMIf7b0lxPAYqCldj54AF88uO3WAbGZhj7e3fCaVpd4+JbQ9uTP07s5DXs4x2Sp4YNUjlxTpNvpvkcTrTscS1znoaQMQiPw4sBIygTVH7gNeTDsUu8LKyJaXx/K+vfdsaCnfnCD9MyYTSsD9WyxoBMbvhBfaJzNB2kbXYQOHfJy3HCqJU25zxuftvPCbuVReKS5VzP7aLB4bLJucYuwaNw0dvZj6xILrIdw4KUjWSThKMy+U4LZOHA3+vQ4+ue0mvZk6b41y3KGmnunnhNKCydeKFVsiymUhKTtzkddb4arCg6DYEMHzojrdZ6AFmOHKzyrsOWJedgXd7p2Jx3FpakFcObkYaKiopx933BupcimO1DQ+gIQlHLyNeGmROHfTXI25w2acPYsc4DYZldqasKfe4uBM1+iRvLOHvoXA11KOP7i+8O+8xZIjAQjUSGj29oJQvN6P/CyWmiIHXf37+PhuZ6ybqiUExjcIrO/DdFqoEh7yYKRXXmHinDo3cShQUprwUbHlAUdlmvP+QRx6i3Ij93qAOcKSII7wjMWLOhGEABjCWjlJTlHjF04HJv4X1gSHGxPIDcck74GrxPWOKzVQZrrbfed3bXtMS3u/08imzMrqRow/3z9ZmpaQnePCJLBGKWFs8DhSiuZwdPiuA0WafAzl5/FE/k9YaMzlmktxbbUGGsRGG0BNXGGiltpp/Tfjwn5WH8N/2vWCrI/fJcljqrsKxgFTZVbMNbznsH1m5eDeRGEXGHJStF5DfDEity3HnwuDwYMCwreHYUZRZL0NOLD37uvRLzLFu2PaJ4zt1x547lirzWfF37Xs39prsyERwMjsh6YmZgRe5SPF/3tGTcxP/NiGcwPCANAXKGMgmZcVNf1xDzJrMKm5nDliHZYcyQq8VuKdXjbz7mcq7ndjxWPi+Rt7/7UvT0d415HIki2YplK2LHQSiS5a/Okm6rPBOZyBWxjibn8dhehfY5Y4fX/FVZM5IFZGcy8RxJt0aHQ/7+jkWa0wt/f2DUvXKsrJv4DB5649nG8RMcVSx7WERDjwe5ObnIyE5HlXclqt2rsNF5Npa4SkXkrzcP4Zh5AIeiu1DvqIUrE1i9evWsdpVdiFDkbAoen9S2zKa97D1vm/VjUqaPCoZKKqJxrSSimVLKtOAHxZISdnga34+GH0L5rd1Yvjzcftc/9iEtkIlc19hlDx6nF+FAGDV/r8NTTz2F7NwsdDb2yZSG07dE5FtVmRRHR0ygObEQzyeTpXn8b0D+nx94Oalzh61vWpnNwgliZkYmghE/jKBDfD64T3rmdJotKHUMfSsuLukjX9+eVHGCy4mYDbNhOCGj4PWWf7sMaS7LT2S8czRdOClNc6Th/MLtONC7E3sGnpJJGCfJVoFhCKVpFTg/e7vVsjw6t35S8dgleE/W/F0MeyscVWNuS0GD2TeZWekYaI+iAY3AFCoP4ydNSUv/TMB3gh2wTq5LUaKp6+mR0/H000+hJ9gh5Xm5mXniYcZoCYaDaAgfRdoyA1uXbJkwBuilc+GGV0imyJNH/47akFdETzGMXTl1w9jxSiBZZlfsrEBpVhV2h56DyU5W7DYpWU9WphN9naLhSEysiSWbmCZ6Qz3wdXRLZywxRh4SFweNgdhja1MTf3zht4j2mfKeobjETBEpx0GWlHux1Irxy+XMRLJL1eh7xGyfFpwQQYpleSEE5b1GUYn40CFZTtJpEvRT8ktujMM2BpcsSnPIqNsW3qxsHWb48L4RPz7bx8nen2QLwS/PsyfcdjmvnSUpWUwIimeYDfdJkakJx6Urn/U8ji08JKhZYhaPM2xanT2Z8cQMnqM4OOQtlIEWHJfMTpbIcWzcr515JZ37pIY5DfXPN0vJMgXpLOSjEqsQNsISPzCioDbP8sdgRivecP7F8Hq8CIaCMnldfcFSfOyuD+FrH/8Wmnd1IhIII43d+obijOfR6pAXFa+hdncjtr/25bj00rfihvf+d8yAPUKxzrB8sXj0PGaeEykzlmthnRk7VlgeGp/1xDWbNm7GsV01iAQsM/54AYXiFbe1O1QaSURpdt9jLNFQnR0OLYP6NTH/PUKhk/fwozggXmDcns8rLCwc8R7ZsGEDMrKGvd7GIl4kaxsczijie+jf3/IG3P/jX8j5oWeZ3RCDQlU+uykOfXnCOGP2Lj3OTqAWd7zl5hn5m2EbrsfDvXoz0xDtH3l+bSQ2o2HphDhR1k1iBk/MG28MIc8WII04bzz+bSjMXoJgbhOchoEsbzb6gr3yd9u3ewBljioYLgM53lwEHf0I5vRiSU7RnPklLRQSM3XHorWvadLZtMrC+aytKIsdjWslGSpKKdOCH5z5AVHMYod8npL50ZDxfHk4Ge5u60GJLfCMg9eRjoE2P37xo1+ir6cPRe5S9Ax0Sp5BPFLmJdlSHpnscMJnw7IHlvlwksf1/Aacyf71OCjZAoXRUslukvIXZ0REKWeE3+E7UZhTKGPNjxagpu8F+MM+5DgsIU06Mg0JU1b+lCklKpw+MsvDmuyGxC+GE5vlWI/1Gdtik6VAnR9fue4eVJxeNCXvojHPldcrflyhwCBq/fuQFs3ANs+LLSNhmSAbIsZ1RJtx0L8HqzLWw5PhmpcP7vY39KvdG9Hf55esGnZKHBPDQDQSlklSdMCEM80J/4AfGWnDXQbHwp40yb8DgTFL/1xeJ8LByEl3KUo0deVrPvDAA7jrjnvQ0FQLZ5iiRQj5ZXn46A1X421vuxTXXXP9pEovuO+8jAK8+g2vxJ1f/8K0DWPH69Zkeb8EUOZIk3/TKJtZauIaRUFtKEGQ4i8ZiAYtrynJIuLIQlLO5TXSETD84pUjglSUmYbAvj37sW7jOjHV3nPiBTS3NMvEm0blNAvvgw8VQ13lKP4we4rd1yhk8P/5QlJuZ7BxQaWUmx3CC1iOtegW02orq8QugRsWRSiLWCJa/ER82DDcEvjMuO0s3yP+x6xKOTtD3k4sqWKsGCJsWCJUFEHTP1Q+Z0ss9HIqEeGsCqus8uGhO0CpWY3jOBgTdzg2Ea8Mr2RlSnmbaUj5ID2tqnAawoYlkvP+xjE14rAITSuxTsQoZpJRhGMp3HDQAJnZGaj31YonWa6zQESFYDQAuKPIyskT76YlRiG6Ah3444HfYO2ataheXRkTOsmD234tmX7Nde3o6+iHK8rsMcvInR3PvN40dEZb4Vlm4lv3ftMqwaJoalr3ap5hW3Ti/dD6cmBArtVYeaPBUADe3OGsJ2byrFu7Ht2+LpitESljtQOSYgbFK25rjCFK+3w+ubq8J1Nwoi9RIhSoKIBSpON2vPp8XiK8b65YsxzROgf8vj75WzWRSJaYUURPJv6loaDYgDo5NgqZ7PjHzoPsfmeZoDOmrXJxnq/EZgjTxTZcT6SiqgKH9x1BhmOofDIOMYMfKu2bjIddvNdevDfeRGWX9n55jCxvvmDdy/CP/Y+in58DMstEFPdkujHYH8JgdBBt0SY4c6zt6sL75sUvaT6JN6+ve6EG5d7qEX9P+HeQ55SC1GSzaZWF8VlbUVIBjWslGSpKKeMyVncULu/q6pLOCWQ6vjzcB0WBwWBoUmUPIkIETdTXnpDSvOKcMhxq3yulfANmMNYRj/t2mx4MmgHJxJDSO5nAWtjlNhRorNbaITE8z3HmozF6REQpzplCaUEMev1YtWwFeo63IuQflOwMh8PAadmbcbB3F/zhXhQa/CbSdpIxZRLZihPy7yqsGJqwmuLRwi5OnGhGnCOFNJZMWOeoeUreRWPB5246ewOe+t3zKIlWItthd3qzyqpiEy6jGr5QF/b2Po9zX2aZ7s41ttcIJ8echNlt7sfHih/+Li8rR0PgCFanbRj3Gdx+T9sOFOUU4NLXvINmN9i1Yzcas1tkgkSvJhk/J+5F6eg50TcqA+5kuhRJ57yMDFx22WXyw4k6J7gyGY3zj4qfuE2EPVmbrmGsXcYUb4Afj+X9YokNzPIIR8My6aPjUiRkxTDjnFmGbBTAzCQru4mCDifNTul0xxovilMUHiiicLtilKO3tR/79u5Dh9GE+sbjSIumSxkZzbZZZse909SZl4HvnXTDEn343h2+NLaPE6S0Ld8slvc8M56sUlqr+M2+B/Bc0ayb/lRiGB0nWlud6+yyXD5z+FUosVFAsUv2CO8jdrc2ZtVQhOI6+jSxoUGJowrl5lJ0RzvgEK8lp5iV0xC9IC69j2O1uwVa4/PIWAcdQTijLjleZutwv7mOQnkH95n0kWKmj9Vhk0IX912DnVhlbBJRLMvMk/Mgb2t66TkN5K7NRfYLOcg32NXOkPuqETXgKXBi65lbh5PcANR178d1t1tNJuKxJ7z98KKsqgTtzZ0I9AUley4UZVfRJqy7cAW+ce89EpcUYx1uBwYGA/JFAAWXYSwxj6bxPIdxi+0gFTHLk+salfVkOqLYsG0dHIczYz5IfC+NdReL70bJEkB+acA45Pm3PbISsb27sqQHYUvSpgLcX9XqChiOTIQCIWk+MJ5Ilqwr5vLly2Ovz0zB+GOyvcrsx/wChR5h3D+fNxMMZzL55e+RDcfrzUnDoG9kFhiFZWY72WOYTNZNfAZPojfeWBll8d549jGG6kK4cMP2mKdYIODHactPw+E9B5GemYH1Q/dzZvidqn5JiZm6/EKF92PJpl019WxaZX6I/6yt10pJFTSulWSoKKWMYjJleMn8aJIJUuO1ehdfn4g10Z88BsywKULEYF0QyzNX4XjfYfFCkeyDIWiAbGcKcCLMiR4nxZIhZbglc4OldCyDaEU9spwUBgxUpi/D0pVLUVpWjBean4HDEZUP5euqNmD/vv2xb3X5rf/a7C3oDnWgKXAEfWafdZ4QkUl1PpagHCwzsW62LC1yxnlfybfSQwauI8/RyA5RJ8Or//1VeP63e5AZnymRBGZSdKEF//bvr8J8YHuN8Bt3Kw9l9Lf1oxnKVjJNZOdlo3ptOVp3j12qEI6E8addD0mmwYaircjw0Hwa6HWG4fZ75Bt7TpDo1WSV1M1+lyJOnml0PxelF/HiMol/f1OQeGHHCxjMMlBRVS5eZzKxp3jjsIymO3rbwSSX/OgStJtNcBtpSDczhnyZ2OkuW4QUirE+s1NiiuVlFHxkQm1a73OW7HVG2xA0+lFiVMIIA3sbd6IifRncUWaBRGOG07bRNYUAXm/6JfG9TFEjsaOm7e8WHcqyYskVxTAKNlb2Et/5Vtc0bks/I2YT2ZlczIyk4MwSKSsTzC2+Puz2RzGKpu0daJVMJwo/pYZVXlpo0jS9ZciYugWlZpWU5vIeQ1N4imwsLWRpHo+BogvvU/TAol8QBTyK6XxFHgehV1TYGITbzdJCByKOMHzhLhEp2ISBjRKkcYPhQHqWB+GIlckVCg0gK5IDv+nD0czdMIIUAt1wRAG304MBdz/aoy1wmQF4I9noNXus0ksjDW6PB2ZkZMcunt+KjJGG3GNNeLvrQsg1PQhHQ6g+bSXe8Z63j5jwUphyZToRHAwMmb3zywCK/HZGpCEd05ymI5ZhxisVMR1gVWFefi7WbVg3QmyyhZ23X3kpvvzRu0XEHas5QLJMHrsEjxlSlheaFT/xzTGsVhYUhRzIAbevHVW6N1JMvhsrctfI3wzxMxtDJEuWUdTQ0CBRWoYq8Uyj8ET7bmb02sfD2GDHORZocjt2UOTzqqsn1310ImJjiBPE+doUA2v214zIAmuLNIr4M5Wsm/gMHn4WOGPVOXiu9ik0+HwocpaL6GtnlFWvqsYRX82o/caL9uzeyR9eu+yKdKzMWDuis+VUuo+mIomZutPNplUURVGU2UZFKWUEky3Du/X2WyblRzOeL49MkJ3WRH/ymDBcDuTkZSOc40ZxTzmOOWrRHm2SrIACw8o+yEG+TGa7zDbkGJx0OED7XU5M2eKc2QP87Drg9qOwLBfnr3kp3G73iA9rFC/+1fwIWvsqhr7V3TfiW10p5fMsQYYjGy2DjTIBkQk8mmTyycwGO5OCxr+rsMn60G0E4Ih6RmTHjHWOToYdT7yAFaWrEWwLwYxw2kvPmLgPo3YZkzMiRtzsvMQMnrnG/vY7WEefqAwE+wZkwmpNTIeP1ZokGrESIZbEOLyGfOv76S98asxSBZb2/XnvQyh2VODszS+KTVxtvxSj34ly9zK5tv/Y/ze8ZMPL5VpKmV7cBGeuuhTNVOlFMnGZWYEnWupR7CrH6iXrcFqa1Z79oPsQWptb0drQBqfLKf446ZlelFeWoXugAzmhIvH16YiyJC6MPrNbrk8AfczpkSwfZsmUmFVSQtZjdoivE7N97HM9aIbgQztajUYsMUthuiLwm/3wRjLhHkwTMcjyOhtELqzMPr6P7EwR2/cpPpslceQDGJDt+D5kqd9h7EUhyqTEj8fKuKJgRIGH70VbqGbWCTOauEMKTzQKt8sPxYMOUfkXBS5xdGIbeiNf9kMxip5X3D99frJMq3NcOZai2Tw+9N7fiFrskXGwzI4iFqnBDslS432Cz8/DEuTl5VtZPP4BamRiJN4ZaMYy11pkeDLlLRyJRmBmZEnnM1uwsAWQ/oF+RJb50Hq0A8uca3HgwAHsb9qF9EAWSpzL4BVB1y2NHej9RKGP//bCM0ooZ8ZMTV3yktWpTHhlmSsq2VD0RMqW89aIEnYTjPnfmyIo0vC9GBXSgCI3Pwf+cD9WrLR8pOKxBQeKX3wvMMuUov5YJHajpFBGgZPXxM6mtUoQR8P1dqnkWBmJlpg8fBy2WfhEx2GzYsUKEce60CGeUizjY8ag7VnGezVjPxv5IqRxO27P580UiWOwkVLJDevg6+mRLLDGnhPozepAj7cduSu9U8q6SRQ0S1EEX28P6hp2yTgrK6vgzAYcqwJJ95tMtLcFdOuLCvs8q19SPNPNplUURVGUuUBFKWVSbeETy/BuvfE2XHfjR8f1o0lGoi9P5apyHN9/AoPBsQ1PbWwRonp11VC5TjqOHzqOzebZ2Nn9NA6be9FrlseyD5aap0nnqQHTL1kP7AzlcbjhNlyIOCLo83RIycoF614uxtGJ0KOovLgSuRvSJvxW1+gz0DVA749GaanOCSknvJxQcDJzGPtEEKIRsp0FMPY5GnsiOFnkuhxuwuZNp6NmXw36Ov2IDkZgxul/4mvsAXILsrFm/RrU1u45qdc8Gexvv9dWbcAznU+jI9CEYqMKA5GgZLEMHXEsQyqXRraRAFxFUekcNF6pgifHiWWlK7G5/IxRE9t4v5RMMwetTc14rOcxrFl3GpprW5GWnibZQxQJ5vJbd3s8FJV+9J0fo+bIwSGBM4LKleW4+p3vwznnnCPngqVRxDZMHktc5rV9bO9fkNmzBBHDiaNdx7ByzUo8UfMYIv1Ab8SHcsdSRJkxIz7vTuzYtQPuQDqao8eREy0QEYblTnxfUZhi9ghLX/mqfD9QdKCE1ApmfYTQbjbGhFlejwKzBJtd56Lf2YNmx3G0D7RimblGymCj7gi8zjS4Buh7FpWJeT0OiYcSJ9/MxGKGyEj47qKUYJmBW75EVpMDZkplIFOynaz8q4j4OVWYy+U8rTI3Yg+ekf2yC18XGxuYOSI8mUMiFL2G2I2OWSv0o+Px5KFIxsdMI2ZcVWHlUIe7XinZo7DCjClmlGSZObIdX5cjCKJPsgLZmY4lyLaptjvXgU1bz4THlxWLU1to4rG2PHUcmU5L4JPrS7+d6mGhJl4AyUrLxIGjhySTyuVkuWATyr3LkBbKkIzBwQA7BLpE7HI7XZKtFI4MorevL6lQPpmS1YkmvIy9UI8lgFF2pGDJc+Y126XboD0GdlikyEfRj+LeQEL3PJvEkq6RIm7ViPIzZlQlE3F7e3stL6KoZbRuZ+iN7CxJY/nBWKYt/0bxeckyHKd7HDbMwOJ7px2NEoMULvkTX7Y3nHnbLtvx8ViZW9NhvDHwlT3pbqRXO3H+lm246bZPSOnxdP5ejCVokomyeZKK9mnpiIasTD/1S1JSjfGytxVlsaJxrSSiEZHCTDVde0pleDsOor6+3ir1GcOPZiziJzkUI/Y9WYP2Y01JDU85BrsDFc14bRGCyylirNuwVnx5Mo5moK79II75a2UC6DEtI2ROLCOuEDZvy8eS7Hzs31GDfmcXMjMzsalq07CP0Bhw0nLb7bdg//791re6RhF8vpHf6hqZUTR1H4Zz0INznK9AS7QeNdEXZArBiSgzP6RPkeFEBgoRMPvhcjuSlu8lO0cn49NkfcNtnaMTxxsQ7B+e1NPnpLK6IjaxONnXPBnsb7+7dvqRmZ+B+v7jiEaZ8cZsm6y47BiW9ERlAh1I9+HCc8+KfRM+1kTno1d/DKW9mUl9Zig2pWV70NXcBUfUiSKzDE2BY/DVBixj6/4IDu87ioH0fpx+0do5+dY9WYaTNHjMCks8HjtYj5v/36dw+Ggdgv0DSHdliODqznBh8zkb8aHrr8YvfvJL+BLEZfqvRH0GCtxWNuGAL4CH/vUgKtxLUeJdhgPhneIvxhKxSDgsXfZYnkoxqil6TMpSl4Om5E75vd98HsdwAD1m+1AXOkvxpEE5y1eXYa08jnn1SMe6CFweB8qz6bVUhd2RZ5CDPLhzHEDGIBw9HvgGumUaziwWClrMGOEkne9n/tveny3rMkvLnrhbptnsu+cX8YOG4LXYLeW8FBYoMFFcojhGUWiDeSb243nJUqLgRSGLr2mZn5volO6ZJbJPClFRZomhV/ZBAY7liuz85s3wwgiaWG6uk/d5k3lUyoNpym66TKS70rE8bbUIUu3pDbj3wW9h1apVYvJJIch+z93w4U+gLSHTJhwJyTEl89sZC75u8bIlOLazDhGfgUJngfjrsFTz0N46rDA2jEgzk66cplsyYRI9k2aiZJXCqRE2sFQ6ytXJta3ECrkeLNejh5LTcCNkDKDErJBy7O5oG9ZmbMCadacPN4QYQ9gZJUrXxfnnjNGNkvc9O/vI/gKBXxpgREmodW64nssYQ+MZi0/nOGwodlEAqxA/snYpPWXs8dXtEnerG2CLZOtR/GzAYXlefv6wZ+DJcjJjmA6JguZk/v4k/RLimPolKakH/z4sWUL/P0VJHTSulWSoKHUK+kGN9UFtqmV4//eTX+EzX9wi+58K8ZMcHs/mC9bjkdbH0R2wSuM4BvFqCp4YmpDRRDgE0x3BeaedjS1btlhZVkzh39ksXYl4g6vKXCY/UsbidaCsshRGmonCrZnyAZb7fcur34613tMn/WGVx8oPyeN9q8uJ5ealW5EfKIcZiaDcuUz8pKScjxkiphOHo/vEx4pTZ2Ym0P9lrPK9xHN0Mj5NxDb1zd2Ua4l8ts9JwjmYSb+kqWJ/+/3J629GT00ngmYAHWYzIkYES8wyOIayyyxflRA6zRYMoG/MfDN7ojOcyTe6w148UiZmOsVfh2be6fleBLqDcv2YlTDA1KGhLmonIwInmpsnPidZhlMoHMKfdj6EYMcgssJ5aDMbZPJK4++ljgq4Qi44XQ6kO9LR8ogP733sA0h3Z+HlW1894rUP1O/FEofVeZD4o/1w+j3IzLVEydOyNuFg3274Qz4RCfz+gGTWsFvlCqxDHfbK9XAZpnSCo1BC4Y4CVbxJNLMCY/48lm+8xJaV/WMiIyszNsG3O+Pxf2urN4jpORwGMqI5UkK3GpuxA/+wTNLNkAhJtom69XrGkBBlddHj9XKZlpDFjmk8Pno4NeGoZFyxQx8zdLrRgXyzSEp8Wa6X71giZcGhsJWVxy5+9IELuPsQXRKAM2wgqycLOeECFLpKkZ9fgOUrlyEvNxcDkQE8+tyf0RFuRVXuMjgNByrNpVISJ8dDX6e493og0I+vfvEu/Pj+H46Kj2RZKixL4rlK1sFtLHiO3vney/DuN74fJYHl8Ef8ch91Od0ozC9EuD0Et+lGJMxMrKiUUWen50hpVrwolcyQezoEg0ER6WjMXmmukKyyZtTLcfrEreuEmLmnSTmdSPgiAr56+0tR27B7UqLIdPxzKIJZ14jG9+xpN/qebGcncbsRRuwz7OPDbXgMecw+RLZk51F0sjtI2tmGfG8yjlmS2oyjs3LPXgxeRPHHyPsqGzYwdsf7u6ooiw27a296evqCev8pysmgca0kQ0WpU9APihOfxA+yUy7DS0tHH82PTXOoY8/ELeyT+fLwN/2AIpGb8OcH/4qe/k70DvjgDWegzLEMbsMt/jBhZwiZhV6EGw184iM3yhhu+tSN+LcLX4vgkSgqXMuQ6Rr6BtvBSZAfOw48C+9yBx7+1O/ldfhTfVqleBdN51jH+laX54CT5SVZJejp70I4zFIPr3w4ZjmIPC9KA9+AVS7iTBMj47Ff9+QngsOdlEZeF8mIco72TZkrv6TxYEy++R1vwmO//icMIw35RolMWI+Y+0UQ4jmmybPX40VFxjLpYlj35PFxTeElY2wcI31OZAZ6B1GcW4KBUBB9gT6EWDJY0YPDXbUjOjkd3n0QTz75JM4999zYeZqMCMxtfvrT+/D1O+5Gd4tPMrL8kT5pbV5duRQVpZXSRax8RSm6uruQ1pQTy3CiIPXzf/4Qhf4KVBrVOBI9gKjJro6rkO3Is5y+TetXoD+A3Ox81PccRh6ypWyTWXJ2p0t/fwBlcSWyzDgpM5YiEAgiO9ttmfdnnT4kCB+DP9RvZSnS+NvhltI2p9OBvki3dEPjC3OSbmfZ2ZN3ikLRof/s8jSbiBGGY+jc2SISy0iZtUfD4oN5+5HuT0fWYDaazOOSIbUSG0TAaEODlMZak3N6QQ3XojIWpEufGZVt6RvHsj1KYzRIPw1bZJLf6WhBvmsJoq4wjg0ewFLnWhRllsDlcsoxsJwzOyvL2qkBtPW3YqCkCwf31aIkvBS5zgJZ7k1Pk/cRvc3SnRnI9OfDG81GTe8ulKZVonmAgrolIvA4WR5MIT/PXYgSVwVeeHJn0lLZsbJUBr0BDBh+rFy2ItbBbaL7B4UbX58PxWHLFF0M0aPA6uo12NO+G8VmtZW9ZkZhRk2kedLQ3++LGXzbMTITJau8T7IrKa8R7425RgFyUTCUCTssaNrlzizzo2D4xbs+Lx9apyqKTMY/h+Iw/461BRpQiZVWrp05+gsWnjtKno04igxvhjwvWfnedI/DhtulOdNgRCyPK6vjX27S8j3L48oh5YSzndm6WLyIpHGKoqQYvEfynhNfnq8oix2NayUZKkqdgn5Q3I4Tn/gbgV3uNRX4IZnPm04L+3g42bjzri/iuSuew5Vvfx+89ZnIdORIudCgM4ic/GysXblavgXlEdOE9ZMfv0WEik15ZyCyOSptof39/XBIy/YwMrIzsa3qDDicBj578+di4z3ZY00Gz0FlRSUGDwVRmL0EA6EB9AV7EQlz0mzlh+S5C9ATbZcsKmYM8EY8VvneTE0EZ2OsswnP47Xv+TA6m7qx1LkGbncassxsK+tMOiVG4Ha7kJWdLWbPzBwZaPOPawovGWPjGOk31DeI949s6/bKT4+Zj62rz8CqjPUyWW/sqseju/+M/v4+XPXW/4fV61eJ6PTmd/wHHvj5r9EwjghcuC4HTz/xDAaOmiKcljvTcNC/G/mhUsl0ihwIo+V4N8550Tlo2HEMe/cfwPKC1ShcXyzizR9f+C2y/PkocpahJ9IpMU+T42zDmhRbne1MOl/LKEOhEKIUGJAuPmL8o8/3TSRqCSQ2fA5FE7cjTUr17F5jtnk/f3rDPWjEEYR7o/CYHvSFetAT7pTMKU6SKShxunzY3Cf+T5xA85jtDnXSjQ5Vw69JPzCH1c9Mjp1CsQMIuQdRWb1KHl+w7mV4OPgb9LZ1Y4W5DkciB2KeUvR9yjCzpPOfZQ1u/fmioERxiMfIxgaDrn4MDATlPAQMmo83wO1KQ0F+Pk5bvgLrtq7F5rM24c/ff1w6pY3VIY3n58CxPWh7tk0EwKqMpbF1dlkns5ZWr1kFM2Iix1GA9sFmnBg8hirnyhFG/aHIIDr6mtHsPiEZaWF/RLKHKLhMJktlz549+Mp19yA3Z/xOmvHv5aeeegqZzmwMmkERN5kFyNLLDINm7QHpkkivPV4ZF7sshsJsKxq7L41lyD0deL9jdh9jotwY7krKscZnJ1llmaZkSVLwtD+wzoYowmzFTG8WfIMd6I7kIt8oivOTGpbm+PqMq15nJzLTMsct3zsZBgcHke7NgKPfIeb6lscVY936j/B9Z/lfheQ9kJGeKc9bDKKRoiiKoijKWKgolSJMyQ/qhYOjskviy70mCz8g83kz0cLezmTaVL4Vy9dyomgJCWw9nThZpN/Kzn88h5AZxJkV58kyaQvNbnKcfNtdeIaIH+9MHGsiPAdZuZnSDXCwdyAmbsg0fCgbwjRLcKBvJ3pCHcj1FMBwWTXVo1935iaCszHW2YLnSUr3TlBYdIpYIgxdRk6m6axCE+7+vj5kZWdJbESDJuprG8Y0aB/OGPOPMB2W12RZUf8AMh3ZsWWD0QHpPOcL9OBve/6GY81HpWSOrdkL3GVwRBxY7d6IQG0A//nmq1FsVODs088dJS5SBF7qWoUf/vg7KA8tx8q85VL9xxjICy1BtmPYA2bQP4CnnngKg3n9qPKsRLg3IllOeRXZ6O7qxkqHJXa1R9kRLhrr3GbPm21hiqJyf8Aq0+J/NLanjxjLNq0SsGFxjhLWSJFqZGNGOecOA1np2Wj1teFweJ90tuN/5VgOl0HTcb+4pkXMEPokp60F1eaqIbPqZuYliYjELnX2a9LLLTbuSBB52XkIeHpiE31mFL1220X4w47foL/Th6WO1eg3ezEY8cNn9qHeqBXRi6+RZqQjzeGF4XCI31yXowXeEjdevPSlqN5aihtv+4SU1jIG+B7l5N3OtvnIVdehPL1qzA5pPJ//2P8o0ntz4Yh0ISc60vuAsZfhyMSgbwAHDxySa9Ef7UVJtAotRv3IzpH0vTI8KDWqxbOLJZLwTu4LAFuQOeOMM6bcYe4jH7wOoWBIuoMyQ20gGpCQGTSCKDTKpKQx0/RhicGyYyAQDMKRaWIgHETzDBtF89w7nQa6Iq3INvNiMZGMXrNbSieZlTebggvvvwVleVhursfu3qclA7BkqEmG/eYaMINoMY/D5+zEpuyz0VPRNGvlYYxNipfMJmOmH9/Xkv1HMXfI40q6UA55TLF8bzBixbSiKIqiKMpiRovvU4Sp+kExuyTp5H3Q6uQ1Edwud4nli2P7AeVtTkedr2bUPvj4sO+grB9vkmONwZ4osmRotCBlE21zoKutZ9QY6JmSuP/48c7UsSa+bsXKclSvroYr2wl/uG9IVKPQZvnesKyo0rscPelt6PS0SBdBI6Hk5rCvBnmb02ZsIjgbY51NUfX4jkZ4nTSaHrvcjqU09MGRrA7BEPPm8Uo3mDHG7JFEmBGSSGu4Ef3BPtTsPYiulh4sC6/Bcsda5DoK4A57EeoLYd+e/ejs70B2MB+ZwRwRkCRbKYG9DTuRHSxArlkoJZ0si3OH0kYIUoQlOJH+KLo6u+TfHqcXQd8AdtXugCuaJoKGCK5SMmcJHIkY9njC9BMKi8JEoYHG9rZgl5GZLqKbdDA0LU+n2PMTLj3jl+Vs65duRH+0Bz6zGxVYgQKjWMQgZil5kC4ZHFHDtHyZUIRjOCTPX2qcJt5p9ahDo3kMA2bAKtPzpsm+ewY70eo9gfPfcjbOu/gstPU3D19jhwOv3vJ6eMucCGcHUZFXhU0FZ+ElS1+Jfzv3tdLs4Li7BnWuXTjoeh57jCfRmH8QRVuycd7rzsL1/3MtPv8/d0iJVUZGhmQj2WbidikjSy0TRcp4bFP4HGe+JXRHkn9/43GlYaA3JOeSJbrpjkzJhEwWD4Qm8q6QB1FXaEpiy/B7OW3ovWwZco91/yD7d9bI9eGxuR0eZLlykOPMhdnvQJ6rAGs8W5DjykejcQR1kT04NLAbDWm1wEo/PvrlqyW7dKYED4qD6Y4sMaVvwjE0m8cRMkeWMPMxl3M9t0s3MuV5s8nVN1yFtmgjXpS/HbmZ+Tjk2Ind5lNi4s/ffMzlXM/trrnhqtn12AhbojKbY4ifITKQgSwpY+VvPuZyrud2wZB/zFg7leD7wxagFSWV0NhWUhGNayUZmimVAkzZD8qTLt1qErNLplTuFajHR9909djdj9gNB5PvhjNZQ2rZlpPmIDBoDo6ZITPeeE/2WJNhn7v4Tnf9/f2x8j1O8E+rXoUzsrfi+aYnUbDKi5qenbPa1YjMxlhnAwqSFenLUYNDIzJ6kkE7YvFBctP7xxRvpvEmz1bG2Ogsk8SMh+5wB5rDx7AquBHddf1IC6WPEJAoiLEsjuVsT+36F1Z7N8Dj8MLv64uVycWzs+55LDc2yvnm8TaZ9HAa3WHS9kQa9A8CQzoJszW6urulfGfYa2fYU2Y0hqQ72cIsMy5iJT9D5WlL8opwsGkvisxyWc6SLhpOe5P4qzHzaGX1cslgGjAGxJep0CgVrx+W7bnhFmPqLrSKdxNLrVhQx7KjQ9iFUlRjpWsDOiItOBo9gEbHERTlFKMx7IInw4XTX7QJt19/k1wbZsOMaO/uSZeMqQs3bMex9iPYefw5OFwG1qxeg4CjF6960yvw9isvxbp165JmQU3ERD5jMVN4Z8VQRplrzGwy4nVYvnK2fxa9uXi9xhJX88wlMLODU37PTaUrGksDW060osK7FO39TVhilGEgypLGKHz76LVlSkxkOLKw0rVeRHMa1H/jZ3fhvPOs7NOZRDyhnF6siKzH4eh+9KMP/RQwTcRMvC0Y4QZWONbhsHOvPC9ZieNM8fa3vw33fOkb6DjagurMlfJjNagIjTCobxtoEn/Ct73t0lk7Ft5DIhGruyPLXnlOaNifLFOK9wV2LgxHI1PyuEpVGPMFBQXzfRiKMuNobCupiMa1kgwVpVKA6fhBcTLD58V/Wz/Vcq/Vq1ePEIVOpmPPZCaKiRku3J5ZDJyET3W8M91dyD530s49t2zMTnc8d5tfvF4ml/a4Z7ur0ULvpBQTJNM2ITMrA8G+AcmaSJYRJBgGopEwItGIZJxNZNBuZ5kkdjXjM7yZaQj2+tFhtiCY1ofSaBXyPIVozTiOQn9CmRRL5FwOMaofDA7C4XFKrik9qewyORuZ2A5EpbyMREJhhI3QmGNy0dA/OuztxP0aYQcijnCc1050zG6D8ZR5K8W/qMiwxCeaNz++5xH4OvrQFW6DO5qObCMXOdEC6XBXHl6Kvt4+ZGZnyaSXZXXenLRh75woUIwKmaQzQyqAfjGt5qRYsgBBQcYt70cDXumU2WAewaHwTni96Tj3JWfh/l/9PHaNEo0txxVOt1Xg+3d/Rzpujic8TSXraCKfMcsU3o8yZ5qVoTYkmIwVYizlk3sXdUFea3aZGyMJmdfCcANlRWWTEtSn+17mN5CBgB/L3IXYH90J+ndnGblyjPllueLbxhil+DjgCCLqCKPH0YFzzjkHs4U7zQ131IOV4Q3oiXaKkTmvsWWJb5WTMuOOWYkulwtu7+x/POG9+eHHfi8NM2qPdKHStQxeV0ZMDA6G/WgIH7UaZjz2+1nt7JaVlSWdZAcREFN++sbx/WYlQtmeb/y3ISWOFIDTTK8871SH74U+lnVnZS2Yv2uKMhNobCupiMa1kgwVpVKA6fhBcTKQmF0yevJuZS3El3uxDIqC1K233yKdy+gRM5aXz0xOFOOxJwYykXG4pj3e6R7rWPtIdu7sTnfx5y6+VG6uDWoXYieleFF1bdUGPNP5NDoCTSh1DhtLj8ZAMBKAuyiKy97ztmlnmfhLutA40IizV56P/cf3YEmoQrbPL8nDYJNLjM7jYygzPUPijtkKdtc6ihLMiosXGQbDQckkshObpHtW3OOxPNUGIkGkOVkW55SOfC6nV7KeKGax+yBL+MYW7CiaOZHjXoImVz16o10ozSjD3/f/Fa3NbciK5GKd4wycMI+IcTx9shqMw+iNdCNrIBdR0wdXhlMEqTXr18jxDIYG4Iy6xJdIcv5MA14zA0ewT8SnXBSKxxU9pmyCph8+dwfSPB6c/7qz8f37vjfhZH4yYstMxe14PmPEMoW37ivSWZB+XMZwqWMiFA0YAy63C8GBgJi9j7rMIm5FEHVGkF+aB0+ONcaTGdN472UKeK40F/Z17EBaNA3tZqN0MS12lqO0vAQDzRERdf1mL1rNBvSZPSgsKhSj/GTdOU8WHidN4aODzLLzYAlKkR9ZgkjUEqQY7/T2cjqt8x5xDkoczsW9iuLrP557HPfd9zPcdcfd6GrqpqudmInnl+XhozdcLRlSsylIEX5A9zg9qI6uxnHzkFybQpSONMw3aRbfLBlU1cZq+B298rxTPVOK9wzeg8f6PKIoixWNbSUV0bhWkqGiVAowPMkKjBCRxoICyVjZJZMt95ppH4uJJoojtqUw5YV025rMzWy88c4ki6VUbiGLqqW55cguyERLcyt80S7x4ElG2BxENCOCjResn7RBezLhgxkln/jIjeja6UfAHxRPJ2uS7BiV4eJ0OSSDg6HP442Go3Fduoa6lg1N6D0u7wghw/JeGlvYIMwQaTebUYHlVlcyltylFaOjv1lMspc4SsXXJtbVbkQYmXJMWenWH/iq9JU45jwAV5qJE8fqURVdFStFXIG16DY7xeia+zgeOYjMaC7yBgqxae0mVFRY7xW+b474DooYxpI06yQCvki3dG/jpDgLeUNm60MrmREDD07L3whftBMv/HOPvB9o1L2QhFOr3PbupKXKlin88LXK9xShD50oQPJUc+vtbCI7Owst0eNY4iwV3yx6esW2YSKVB8gtyBbBrza0Z1YNqrnvjLx01Dc2YBnWSpZUL6xuilmmA8fMOoTMkFxXmtH3R3qQnZc5a8fEa3r6OZtR98gJ5A8Uiy+c2+mG22WVN9vlp7xX8n3WndaNLeeePmf3Sr7XLrvs7fIjJY4+n4hVsy1ExcPXc6W7AT/kmjEbqgGHJfPOLnHk3xMKVbwfRI0I3OmuWesGqCiKoiiKMleoKJUiTMkPaqhl+MlkLcyGuep4E8VEHEVR5JsTt0efzHhPpVK5xSCqvnj9y/E4HsGJ5jrkRZagyFEeyxagONQf9aHT04TX/Pt2fHqaBu3xwgcz12786E0Y2BlE1BWBw+lEiDVrFKaGJsoOpwOZUiZjldDQ8ygUpqfZsCgRP4Hlv11pDgwEg0gz0uB0O+EyLa+nZFlOzFzK8xYgkhNAt68DOY48VORXY2AgiJB7QLq2UaBrM5rQY1pd7XKNYZGE+SYuvobLJeV34YwgXn/Ja7F3717kHluCDCM7ZpTucDtQll6OKle1HD+X+8LdqO3fhycaO7G1aEtMSP3I26/GP1/yjzjpDWjGMcmyYnlR0tQvilSGgTxXIXoD3fjK57+KH9//QywkxvIZI5YpfIZ0RWQYlBSUoA0N6O7tkDElQgHKneZCV6gd2WXp2FJ5BhrqG8Vk3oaecpXVFSIgBEPBWRfJuW+/3y9eYFmG1cktB3nINfJRijIEJI6tH9OISgz4A/5ZPaYPf/xaXPnE+5HtyEUWciXTMBoeVu5YGstMRJauBbw+2X4+4Ht3PjKP+LqlS4sweCCINGRIh8Ic5Ftl4My0pKfc0PXhY3ZRLF1aPKfCmaIoiqIoymygn2ZShJgfVF/TuNvZflBTyS5J9ICxl9OAdiYnMbGJYt9wJ65kcP3aC1Zg0wXrZny8M8lY504Zq0MePYoswedlG1+F7We+CsaSMGqM57An8hT2R57FAeM5tOYexU3fug53fu0LM5LZwX188WtfQPXaCpiZEfijvejq6JIW8b1Rn5SjBSN+tHW3oKO3DQOhoOXbhBYRpOxOdYnX+fSV26SbGAWe9HSvdIHsMJPHNl9j+erluGDdyxDM8eHIYA1WLV0NZy5Q4i1Hj7td9lXurJYSnxMOq6vdoDkgGRSm00RmdiZ6Brukq93pF60Vwe74wRNYnrMaufk5yMnLkd/Z2dlwuejDZokSLocbBZ4ibMk9F063gXsf/DZ+/vBP8KW7vyim10YaMBBla3pgMErHG7+YntNLyvK54o85Qqy2T0WJqxIvPLlrwXUIm6ib3fLSFagfrIMrx4G169da1yXbh4bQkaEOhsP0hn1wVkTQll4v21HQ2LBpPbadsxVbzjpdfvMxjfD5uhTJJ1NyejLwfNM4v8RVAdOwhFX7GvV1+K3MN8MqSeV6bjfQbzWOmC2YLffKi16OzvQWtJgNSMv0jIhLPm5Bg6x/5UUvk78HpxrsBtif2Q3TyXzNsGVuzhJSw2kJiLA8zri+L7ML13xibr5sWejMxucRRVkIaGwrqYjGtZIMw1xos4UFgN1Ji55Jiyk1nlk59DSqf6FlXD8oTsZms3RkZsbQGjOktuHEMX4MZLGPV7HgbeiGD38C3bsCo0z2uS4cCcm/OwPtyD89Q8okZ/qP2Ueuug6Ouky4HC48/MJvMNgWRZVjlXTds2GmVgg0ho6i1X0CFZ5lYoq8csPyUd33WAb0w8e+g/LQclTnLZespAN9O5EbWjKiLJEiRzQjhPNffJ6MqaW3EQNlPhTmL8Gxg/U4ePAgnD4Psj25GHD6MTgYwkA4iA5/GyKRCLyudORk5cCT6Zaudtdef41M6NmBbWvV2djkmrx59e7wk9hR/8yIjmev3f56HPlrMwqMYp4AHMZ+bHScHVsf+wtimFaZo8eJvPzhc7E7xH0+Patd1KYLY8sut62va4iV21auKEdXdyfczbkoGcqk4rbNPY3SmY9G6PRBCkT8yK3MwNe++z+4/0e/QM/u4IRNIvI2p89K/MYTCATk2i8PrIf459OnKRIeITqJ2DHk4URrvsPpe/FCwrWfjfv7J6+/Gbv+sR/dbd1WwwC4wH53Hq8H+UV58mXDp7/wqVPyns17xgVnvASeo7nINvMlzuJ97QyHlcXXa3RhcFmPeGFpppSiKIqiKItdV1FRKoVEqVGTrNrhSRbLRfjt/Ex5GvF1bN+NmZ5cjTVRZNvzxDHM1Xjnk1QuA4wfG82Z51NkfO655/Clj9yFEydOoDy7GntrdyNnsDCpr9VANAhvkQstxgkRpc7b8BJkpGWMOt4l63Lw9BPPIHjUlM5ebmcaDvbthjvkkdIqZj04Mgyc86JzEDZDo8bI80Nxad++ffjpvT+TGKcpfCgawtLTqiTG161blzQrj8LEGVUvwgbXmZM+B3vCz+D5+idHCBNPP/00Xnv+G7A0sk4myrXYJYbp8fCPiGlGETEiyMvPg9s9XBm+J/T0qH0uhvfZeAK5f6AfDYGjqN5aFhNQFtKXAva1X+86A/29feLhxHuj4XCgoDoHncd9MKPRmIcTOy/uDT87J9cp/p59/NAJGFEDpsNE9erKlLlnnwz8u8pugIEj0aFugOmxJgrBcGBEN8DF9vlktpjNzyOKMp9obCupiMb1qYVPRalTU5SaKzGD3+i2traiuHh2PS2mMoZUEm84lueffx4/ufc+NNQ1iRBBI2t6L7HUjZkwi3WM443t7e++VMZlCzBzKTIypt916eWo+ctRnH/mS1C/uwk1vl0iIBUaZSN8rdgdrNPTgs2vWYMPXPuf+MWPfjnm8XK88Z292IXPH+4DXCaqK5aiorRCxj+ZMU71/bBl6ZlYFdws3eEmHn8Etd5deOHYsyP2/eyzz+KDb/wwOlu74I1kSNnieuMsGHYGGY3fab5kWBPn7LzsmCgl+0zbOWqfi4WpCOQLSSQfee0dCIfD4uHErJulW8txbEejZN2wrJQ+ZIz9ZNd+Lo4zVe7ZMwmvx1jdAK+54ao56Qa4mJirzyOKMtdobCupiMb1qYVPRanpkyqi1GyiN5TZw864OPFCC8qSZFw0B+tRsUjLEqcyNnbGm+0Ja6JAdnDvIfg7g1i3ZQ16Dwwgz7kEPeFOyXKhsTkNo+nfVFRShBVlq1C0NQdfvufO2L4mOt7Ezl6zPSl/55svR8sjvcj1JO8cF0/PYCdKX5mDH/78+6PKGs3adBw7eAxNbU041L8HK7ERmY6cWAaHQRtmh8PqPuiyOtFZ++xC6fasUftcjEz1Ws234JLs2lNHLN9QjMa9rTCthpfjXntl/pmvboCLCf08oqQqGttKKqJxfWrhm6SuopGgKAsITmQp2vTsCmJFzpoRog3h4+U5p4n3ErdbTJryVMdGZtMonoIBfazY8ZFeUqs9m1E2uAKn552LMs9SdAU7sKfvWfHdWZq1EhvKt+AV57wab37F2/Dyza/CsqIVOFHXGGfuPbGxvd3Zy/4jPNtm+Nd+/Br0ZnRKR77x4PrezE7xo4qHY6NYl5WWifUb1+GsM87ExtKt6HS0WB3/HC44HS7JjGLGDccRDVtqx2B4AL0Z7aP2uViZ6rWa70YHya+9tEYc0TVxrGuvLAwS7xmKoiiKoiiphn7KUaYFJ1qZmZlacjHDMGuHWURFCW3qE6GZ8okXWqVUaLGwkMY2LJANDAlkGfLNjb1usCuMlbnrUZ25Cv1Zndh69hZs3LwBhfmFIyaHLM+iuLVQYcez8y4+C/3eHikZZDldPHzM5Vx/3kVnjep4xrGxvJLwvc5vOi4488Uorl6Cfk8Xws4QHE62qh8+J+zG1x/qQ396d9J9KvN37RnbvS198nuia68oiwX9PKKkKhrbSiqica0kQ0UpZVqId0x2tt5QZhiWkbGsbTKUeavEu2axsJDGZglkrSMEspjYZAK+ln75necqRLTXgRZfU9L90C9oIZdQ8v35uTs/g23/sQHOpREMeP3oj/rQH+2V33zsWhqR9dwu8f3MsdHvKnGfL1n/cnjLnOhN74Df4YPf7I399Dl64FoWwbZL1ifdpzKP1z7iQ1NTs/ye6NorymJBP48oqYrGtpKKaFwryRhukaQoU4DftHd1dSE/P19vKjOEXSp1mmfTpLZnuVtN7aGYr89CZqGNzRLIqkYs46t4M9Ng+iMoWlGIjqPdYGVekbMcB+r3oSyvYsT29MCigfVCP/cUlj7/ldvjDLiHO55VrRq/4xmX0YA+UBcYUW7pcrpw4YbtaO5plHPj6++Hw3RKB8H0Mjdu/fYdp3wXtYV47U/UNaBwSSE62jtQOYZZu6IsNvTziJKqaGwrqYjGtZIMFaWUaSElToODi0IQWSzEl0pNFrt8jN41C5mFNLZhgWzzqHUVVRU4cuAo0rI8lveOacLjSIO/3z8q1ml+/tH3XI3FAI+b5Vn8maoBN7s9fvmjX8cKz5pR+6RQxx/uMxIN41jfYVz3lWu0FGyBXvtIJIKGhgZUVFRYpvSKkgLo5xElVdHYVlIRjWslGVq+pygLhGSlUhOx0MvHFuLYRCBD8gk5PZO8OWkIR8MjlnN7ii42rX1NqNxSLFkmi42pGnBTzKjcUiJjHm+fnYF2VG0tWZTn5FSB14ldLfVDoKIoiqIoirJQUFFKURYIsVKpwcCktl8s5WMLbWwikGGk4bcNX+20tafBmW6MMAbn9uwyx+M67DuIvM3p+NTnb1sU5/5k4Rg5Vo65zlcz6hqeiudEURRFURRFUZSZQUUpZVpw4pmTkzMvE1CmewaDQfm9kJnOcbJUqil4fFLbsnyMnjCLhYUytmGBzJ90vdNwoDCrCCvWLoOZGUF3uB0hbxAHB3fDXOnHR798Ne74yu2LIkNtpuBYOebrvnyNnIOagV2oHdgrv0/Vc7IYmc/7tqLMFhrXSqqisa2kIhrXSjLUU0qZFryRZGRkzNnrUdhhxzQaVNMPiP5ELAejuECxgyVGC+HmdrLHGSuV2tWE4qyyMbdbjOVjC2lslk/S3aN8kmxC/WEp5ePPYV8NPnX79Tj33HMXRIwtRl8q5dS8byvKXKBxraQqGttKKqJxrSTDMBd6usk84PP5ZDLa09MjSq4ymmg0is7OThQUFMDhmN2EO05+b/74LTjxQgvKvNUjuoCxdKg5WI+KLcVSOjSfmRozdZz2fupfaEF5kv0wi6hyAYx3OiyUsfG2d8OHP4HuXQMoziodudIAsksy0NviR2tvM/I2W1lCKr4oi525vG8rylyhca2kKhrbSiqicX1q4ZukrqKiVBJUlJrcDaW1tRXFxcWzekOxxYOeXUEUJYoHCdk19LSZL/Fgpo+T+7PbuNfXNkgnOhp/02dpsbdxXyhjGxbIWlHurUK6Z+hbGwNIL3Vj38G9qDi9aFGKf4oyn/dtRZlLNK6VVEVjW0lFNK5PLXyT1FW0fE9Z0LAUjplHK3KSl1nZsBzs8AsHReyYj3b0M32cqVwqtVDGZvsk2QJZTd0hEchYbrm5bCM+/P4PLpiyUEVRFEVRFEVRlFRERSllQUNvJpbCTYYyb5WIC/MhSs3mcVIU8Xq9SEXme2zJBDK32422tjb5BkcFKUVRFEVRFEVRlNlDc+aUacHJen5+/qxO2ikS0Cw83ndoPLgdy8HmuiJ1sRynMjmBjKnEsx3bipKq921FmWs0rpVURWNbSUU0rpVkqCilTAveSGa75IpZK+xeNxVYfsXnzSWL5TiVhRPbijIfaGwrqYjGtZKqaGwrqYjGtZIMFaWUaZvUtbS0yO/Zgjcs+vtMBRpmz7Up9WI5TmXhxLaizAca20oqonGtpCoa20oqonGtJENFKWXazHb5GRX0ipVlCAwGJrU9t2MHt7lW3hfLcSqTR0srlVRFY1tJRTSulVRlIcU2jyUYDC6oY1IWJxpDSiIqSikLmsuufBuagscntW1TsB6XvedtmA8Wy3EqiqIoiqIoymTFg+eeew4fvepjuPS178S7L3q//OZjLldxQVGUmUC77ykLGnZFq9xSgtZdTSjOKhtzu9a+JlRuKcbWrVsxHyyW41QURVEURVGUiaD36c0fvxUNO1tRml6N09JOj60LHPHjKx/7Bio2F+FTn79VLSkURTkpUjZT6oEHHsBZZ52FF7/4xbjwwguxd+/e+T6klIKlZ4WFhbNegsb9f+rztyFvczrqfDWjSuT4+LDvoKzndvNVErdYjlNZOLGtKHONxraSimhcK6nKfMY2M6AoSPXsGcTy3LVI92SMWM/Hy3PWoHuPJVxpxpQyWfSerSTDMFPwLvL0009j+/btkla6evVq/PCHP8SNN96I/fv3Izs7e8Ln+3w+5ObmoqenBzk5OXNyzIsRGtQ5HHOjazJMd+zYgZ989z7U1zZI9zqahdObiaVwzDxaCDe3xXKcysKJbUWZSzS2lVRE41pJVeYrtjmH+sp194ggNRFHfDX4yJ0flKoBRZkMes8+dfBNUldJSVHqkksukTTS++67Lxb45eXluOmmm3DNNddM+HwVpSaG57S1tRXFxcVzflNhyDKleKG3E10sx6ksnNhWlNlEY1tJRTSulVRlPmObnlHGkaxRGVLJCAz6Ya7ow5e+/sU5OTZlcaP37FML3yR1lZT0lHrkkUdw8803xx4z4M844wz85S9/SSpKUTjgT/zJs980drtKigr8odAQr+NNtDyx3eVUl/PYE/c91eXTPfbxxsQfruPv+RiTLfTM5Jgmc+xTHZPX642dp/m4TqkYe7M9pvjYTpUxTbRcx3RqjMmObXubVBjTdI9dx5Q6Y5ronr0YxzTd5Tqm1BpT4j17rsbE3w1HmrHas3noiSM2B+xDGFqenpaBg3WHRjx/qmOd7TFNZ/mpHHuzOabp3rMX8pime+ynwpiiCfs6ZUSpjo4OEZVKSkpGLC8tLcUzzzyT9Dm33347brvttlHL29rapPUpSU9PF5WP+w4Ehv2CMjMzpSSwq6sLg4ODseVUAjMyMtDZ2YlwOBxbnp+fL4IK9x1/AVlb63Q6RTmOhypyJBKRcdkwWDg+vh5f18blcmHJkiVyfLawRjweDwoKCtDX14f+/v7Y8pMZE5dT8eQYeOypMKZUvE46pqmPiTdPxjafz+1TYUypeJ10TFMfkx3bXJaVlZUSY0rF66RjmtqY7LgmZWVlKTGmVLxOOqapj8mObY6Jxz9XY+JrlFeWAq2AK82JzGJvbNtoKIre5gA8mS6kFwybmxf5lsgX/KFQ6JS7TjqmqY3Jjmuu5/w8FcaUitdppsbU29uLyZBy5Xv19fWorq7G/fffjze/+c2x5R/84Afxpz/9CbW1tZPKlKqqqpITbKeZLUZlcrLHOJ0x8YeBXFRUJMGbCmOazLHrmFJ/TPGxzRtrKoxpouU6plNjTHZs88MF79upMKbpHruOKXXGNNE9ezGOabrLdUypNabEe/ZcjYm/L3vDFZPOlCIHgzvxs9//KPb8qY51tsc0neWncuzN5pime89eyGOa7rGfCmPy+Xwigp1y5XtUA0m8yGQ/ttclQqUwWStTntDEWlf7YiUy1vKxamWnsnyqrznby+3zQnU0/ngX+5gme+xjLdcxpcaYEmM7FcY018t1TAtzTImxnQpjOpljH2u5jmlxjWmu79l6nXRM83XPnssxVSwvReCI3/KUGit9wRz2lKpcWRZ7/ql2nSa7XMeUfA6ZCmNaKMduLMAxjfUao14TKQbTzpjW1tLSMmJ5c3MzVqxYMW/HlWpQ+WQaX6IyqiiLHY1tJVXR2FZSEY1rJVWZz9h++5WXojlwfFLbNgfrcdmVb5v1Y1JSA71nK6eEKEVe/vKXSytTGwb9888/j+3bt8/rcaUSPKesK9UbipJqaGwrqYrGtpKKaFwrqcp8xva2bdtQcXoxWvuaxt2O6ys2F2Hr1q1zdmzK4kbv2copI0rdcMMNeOihh2L+UT/5yU+kFvvyyy+f70NTFEVRFEVRFEVZsLDs5lOfvxV5G9NwuOeAlOjFw8dHfDWyntslK99RFEWZLCnnKUXOPvtsfP/738ell14qLvWsZfzjH/8orvSKoiiKoiiKoijK2NBv946vfA47duzAT+69DzW1B+GEExFEULWqHB+58oOSIaWClKIoJ0tKilLk4osvlh9l9tA/QkqqorGtpCoa20oqonGtpCrzHdt8fZby8YflVmwcRbFqvo9LWdxo/CiJGKYWdI6CrQtplj5R60JFURRFURRFURRFURRlerpKSnpKKbOP/W2JappKqqGxraQqGttKKqJxraQqGttKKqJxrSRDRSllWvBG0tXVpTcUJeXQ2FZSFY1tJRXRuFZSFY1tJRXRuFaSoaKUoiiKoiiKoiiKoiiKMueoKKUoiqIoiqIoiqIoiqLMOSpKKdPG5UrZ5o3KKY7GtpKqaGwrqYjGtZKqaGwrqYjGtZKIdt9LgnbfUxRFURRFURRFURRFmR7afU+ZVahl+v1+NalTUg6NbSVV0dhWUhGNayVV0dhWUhGNayUZKkop04I3EiqfekNRUg2NbSVV0dhWUhGNayVV0dhWUhGNayUZKkopiqIoiqIoiqIoiqIoc46KUoqiKIqiKIqiKIqiKMqco6KUMi0Mw4DH45HfipJKaGwrqYrGtpKKaFwrqYrGtpKKaFwrydB+jMq04I2koKBgvg9DUWYcjW0lVdHYVlIRjWslVdHYVlIRjWslGZoppUwLmtP19vaqSZ2ScmhsK6mKxraSimhcK6mKxraSimhcK8lQUUqZFryR9Pf36w1FSTk0tpVURWNbSUU0rpVURWNbSUU0rpVkqCilKIqiKIqiKIqiKIqizDkqSimKoiiKoiiKoiiKoihzjopSyrRN6tLT07VzgpJyaGwrqYrGtpKKaFwrqYrGtpKKaFwrydDue8q04I0kNzd3vg9DUWYcjW0lVdHYVlIRjWslVdHYVlIRjWslGZoppUwLmtP19PSoSZ2ScmhsK6mKxraSimhcK6mKxraSimhcK8lQUUqZFryRBAIBvaEoKYfGtpKqaGwrqYjGtZKqaGwrqYjGtZIMFaUURVEURVEURVEURVGUOUc9pZJgK7c+n2++D2XBEo1G0dvbC6/XC4dDtU0lddDYVlIVjW0lFdG4VlIVjW0lFdG4PrXwDekpE2XGqSiVBL5RSFVV1XwfiqIoiqIoiqIoiqIoyqLVV8YzuDdMLehMquA2NjYiOztb21WOo3pStKuvr0dOTs58H46izBga20qqorGtpCIa10qqorGtpCIa16cWpmmKIFVeXj5uZpxmSiWBJ6yysnK+D2NRwJuJ3lCUVERjW0lVNLaVVETjWklVNLaVVETj+tQhd5wMKRst5FQURVEURVEURVEURVHmHBWlFEVRFEVRFEVRFEVRlDlHRSllWqSlpeGWW26R34qSSmhsK6mKxraSimhcK6mKxraSimhcK8lQo3NFURRFURRFURRFURRlztFMKUVRFEVRFEVRFEVRFGXOUVFKURRFURRFURRFURRFmXNUlFIURVEURVEURVEURVHmHBWlFEVRFEVRFEVRFEVRlDlHRSklxq233ootW7bgpS99aeznkksuia2nJ/6nPvUpbNu2DWeffTbe8Y53oKenZ8Q++Pid73ynrOd2t912mzxPUeaawcFB3HDDDXC5XDh69Oio9d/61rdwxhln4Pzzz8frXvc6NDQ0jHr+tddeizPPPFO2+9CHPiTL4uFzXv/618s+GO/f/OY3Z31cijJebF9xxRU499xzR9zHP/jBD456vsa2stC4//778apXvQqveMUrcNZZZ+HNb37ziPieqc8g+/btk/fFS17yEnkP/OpXv5qzMSqnHhPFdfy92v5hnMejca0sNH7961/jNa95jcT1BRdcIHF53333jdhG79nKlGD3PUUht9xyi/noo4+Ouf5LX/qSuXnzZtPv98vjd7/73eYb3vCGEdvw8Xvf+175d39/v7lhwwZ5nqLMJUeOHDHPPfdc813vehf/ssnjeH75y1+aZWVlZltbmzy+7bbbzC1btpiRSCS2zTXXXGO++tWvNsPhsPxs375dltlwWz7nM5/5jDxubW01S0pKZN+KMl+xffnll49alojGtrIQcbvd5sMPPxyLwXe+853mmjVrzGAwOGOfQXw+n1lRUWH++Mc/lsc1NTVmVlaW+dRTT83ZOJVTi4ni+sILL5xwHxrXykKDnyF+8IMfxB7/5je/MQ3DMHfu3BlbpvdsZSqoKKVMSpTixKWoqMj85je/GVu2d+9emRTt2rVLHvNGxMcHDhyIbXP33XfL8/h8RZkrdu/ebR46dEjiOdnEfevWreYNN9wQe9zd3W26XC75o0ra29tHfJAkDz30kCzr6OiQx7/+9a/lcW9vb2ybj33sY+a2bdvmYITKqcpEsT2RKKWxrSxU3vSmN414/Mwzz0iM/+tf/5qxzyBf/epX5QuJaDQa2+bNb36zeckll8zBCJVTkfHiejKilMa1shB59tlnzVAoNEI8Ypw+8MAD8ljv2cpU0fI9ZVLs2rULbW1tkjZps27dOmRmZuIvf/mLPH7kkUeQlZWFNWvWxLZhqjKfx+crylyxceNGrFq1Kum6zs5O7NixY0Qs5+bm4rTTTovF8uOPP45QKDRiG8Yylz322GOxeGesM+bjt3n++efR1dU1i6NTTmXGi+3JoLGtLFR+8YtfjHjs9Xrl98DAwIx9BuE2LFk1DGPENlyuKHMd15NB41pZiDDeaCFA+PnhzjvvxPr167F9+3ZZpvdsZaqoKKWM4N5775W6XfqIXH755airq5Plhw8flt8lJSWxbXmD4OMjR47EtolfT0pLS+W3vY2izDd2LCaL1fhY5h/bwsLC2PqioiI4nU6Nd2XBc/vtt8t9nD4PV111FVpaWmLrNLaVxcITTzyB8vJy+TwyU59BxtqGvib8wkJR5jKubejxd+GFF4pnDv0Ce3t7Y+s0rpWFDD9j8DMEhaY//vGPsS+z9J6tTBUVpZQY1dXV2Lp1q9xY/v73v2P58uWiTtPw1u/3yzZpaWkjnsPH9jr+TrbeXqcoC4HJxrLH4xn1XC7TeFcWMsz448Tmr3/9Kx599FH5Np7G5319fbJeY1tZDDBuv/jFL+LrX/863G73jH0G0dhWFlJcEzYYYrMVZqr+/ve/x+7du/HKV74SkUhE1mtcKwuZu+++G+3t7bGEhqamJlmu92xlqqgopcS48sor8eEPf1i+RXc4HPjkJz8pacb33HMPMjIykqYb87G9jr+TrbfXKcpCYLKxnNiNjHCZxruykLnxxhtx2WWXyT2ck54vf/nLOH78eKwrjsa2shj4z//8T7z1rW/FxRdfLI9n6jOIxraykOKa/M///I905yPMMvnCF76Ap556Sr5YIBrXykKH88ZPf/rTiEaj8pmD6D1bmSoqSiljwnKOZcuWSQnfihUrZFl8GYj92F7H34nrm5ubY+sUZSEwViwzVuNjORwOo6OjI7aeNe785nIy8c4sQ0VZCOTk5EhqvV2KrbGtLHRYvsTJBic5NjP1GWSsbegrWFBQMEsjUpTkcZ2MlStXyu/4e7bGtbLQSPxyi1+EMVN737598ljv2cpUUVFKGVHTnkhjY6OU9W3evFkmNs8991xs3f79+9Hf3x8ztXvFK14hJSIHDx6MbfPss8+iuLhYnq8oC4H8/HwpU42PZZ/PJ3FrxzLLn5hlEr8NY5nLuM6O95qamlhZlL0NS175GoqyEO7j/EaRAhTv40RjW1nI3HHHHaivr5fyJsI45c9MfQbhNjTsZ/fp+G3sfSjKXMZ1a2srPvvZz47YlpYZxL5na1wrC5Ft27aNWsbSPfqlEb1nK1Nmyv36lJRl2bJl0grc5jvf+Y7p9XrN/fv3y+MvfelL5umnn276/X55/J73vMd8wxveMGIffPz+979f/s3tNm3aJM9TlPng0UcflXazR44cGbH8l7/8pVleXm62t7fL409/+tPmli1bzEgkEtvmmmuuMV/zmtfIMv686lWvkmU2bFfL53zuc5+Tx21tbWZpaansW1HmK7Y9Ho+0HLf57//+b2mv3NraGlumsa0sRL7xjW+YGzZsMJ944gmJYf7ccsst5ve+970Z+wzCtuUVFRXmT3/6U3l88OBBMzs723zqqafmcKTKqcR4cc37d0FBQew+znvv5Zdfbq5du9YMBAKxfWhcKwsNwzDM3/3ud7HHP/rRj0yHw2H+/e9/jy3Te7YyFQz+39SlLCUV+elPf4r//d//lZpgpmXSSO4zn/lMrEMIQ4Vpxw8++KDUD69evVoM7vLy8mL76O7uxtVXX41Dhw7JPi666CLcfPPNI1p5Kspsw9ijRwPjcefOnTjnnHNQVVU1ojXzN7/5TXz7298W3zRmf3zrW99CZWXliAyTj33sY/jnP/8pj8877zxpeRtvuHjixAl84AMfQFdXFwKBAN73vvfhv/7rv+Z4tMqpxESxfdddd+H++++XezRNQPlN5ec//3ls2LAhtg+NbWWhwW5j/CzBzx+JfO9738MVV1wxY59B9u7diw9+8IPyWoxt+rBdcsklczZW5dRhori+9NJLxYPnt7/9rdx/mUXCuGZmlZ0pRTSulYUGP2vQq5Jle4w5xiJjjqb9NnrPVqaCilKKoiiKoiiKoiiKoijKnKOeUoqiKIqiKIqiKIqiKMqco6KUoiiKoiiKoiiKoiiKMueoKKUoiqIoiqIoiqIoiqLMOSpKKYqiKIqiKIqiKIqiKHOOilKKoiiKoiiKoiiKoijKnKOilKIoiqIoiqIoiqIoijLnqCilKIqiKIqiKIqiKIqizDkqSimKoiiKoijKDBMKhRAIBE56Pz09PTNyPIqiKIqyEFFRSlEURVEWKWvWrEFRUREMw4DH40FpaWnSn/T0dNx6662jnv/73/8e5513HkpKSuRn69at+M1vfiPr9u/fj4suugjl5eWyj5UrV+Izn/kM5ouBgQFs2LAB27dvx3zy0pe+FLm5uSPOLx/zGmRlZY1YXlBQgGXLls3r8Srzw+OPP46NGzeiqalJHj/88MMSE4wRxoodQ3v37pX1fr9fHmdmZsp6/vt973ufrPvBD36AN7zhDWhra5vXMSmKoijKbKCilKIoiqIsUmpqavDMM8/IvykuNTc3J/1561vfOuq5+/btw8UXX4xVq1ahoaEBjY2NIko9//zzkuHxute9DrW1tdizZ4/s46abbsJf/vKXWRd8OCFPRiQSQXd3N9rb2zHffPWrXx1xfvmYXHfddSOW/+pXv5rvQ110fP/735cY4O/Fyu9+9zu8/vWvl7hYsWKFLPu3f/s3iQnGSHwMUWglGRkZ+PnPfy6/77nnHln3ne98R9Zdc801Im6ef/75KkwpiqIoKYdrvg9AURRFUZS555FHHsHg4KAIVi6X9XHg61//OsLhMA4cOIAjR47IBJrZPuTyyy+XbI35gpP1o0ePwuHQ79OUhQsF3ne84x249tprRYiaLD/72c9w1VVXiRiX+D6jSPeVr3xFBCxmTz344IOzcOSKoiiKMj+oKKUoiqIoKc699947allHR4f8ZrlQvPAz1jqn0ymlgvOJ2+3GfPPDH/5QSq8mw9lnny3in3LqcPvtt0um4fXXXz/p53zhC18Q0YklfmeddVbSbSgc33jjjbjiiivw9NNPS2wpiqIoSiqgXzcqiqIoSopCHylOYpldZGcYseSPfjV33nmnPL7kkktiHkj19fWSjcFlhNvY61haZFNXV4d3vetdKCsrk0yqiooKeczlyfje976Hc845R0Qt7oteOzwuW7BhWSCX/+tf/5LH8b5Mjz76aMyPh95YzBphxhShv5S9jMfx4he/OPaaH//4x1FcXCzr6Je1c+fO2Lr/+7//wwUXXID8/Hz52bx5M+644w4REyaiurp60qIURT56cU32nNnXxvYd+vOf/yxCBPeRnZ0t42XZJfnud78rx52Tk4Nzzz0XTz755IjX5ra23xjP9U9+8hNs27ZNXp9jZobcsWPHRh2zaZr41re+hTPOOCN2fiiUfPvb35Z1NszY4bFy/yy7ZNnnK1/5SvEg4zLbS4ueSp/85Cdx5plnypjz8vKwbt068Sdjpl48jD1mGBH+tmPgAx/4ADo7O0ecm7/97W8jjiV+rDZ2XNkxwlLU//f//p+UrNKDLXE/JxMXhFmGP/7xjyUOeb0mgiWpzI7itfznP/85piBl8+pXv1p+L+bSRkVRFEUZhakoiqIoyqLlyJEjVArMCy+8cNS6W265xbz88suTPo/r+LxHH3101Dou4zpuk8jzzz9v5ubmmi996UvN+vp6WVZbW2ueffbZZl5enrlv374R21955ZWm0+k0v/vd75rhcFiWPf7442ZxcbG5dOnSEdtyDON9NOFYuJ5jtrn77rtl2ec+97lR2//yl780169fP2LZzTffLNt/8YtfNIPBoBzT//3f/5np6enma17zGjMSiZhT5Xvf+96Y52s658y+Nueff775hz/8wYxGozLmqqoqs7Ky0rz33nvNH/7wh3Ls7e3t5rZt28yCggLT5/MljY3S0lLzda97ndnc3CzLd+zYIfsqKyszGxsbRzznXe96l+l2u80f/ehHZigUMgcGBsxvfOMbpmEY5vvf//5RY+P+V6xYYb72ta81jx8/Lsvuuuuu2LX9xS9+Idefx8tx8Pz+9re/NTMyMsy3vOUtY55L/p5K3NpjTRbvdty85CUvkdfmMfA68Nzb+5mJuHjiiSdkHx/96EfH3MY+fsbtG9/4RrnGvIaTpbCw0FyzZs2kt1cURVGUhY6KUoqiKIqyiLEn4xQSSkpKRvxkZmbOqChFUWHz5s2mx+MxGxoaRqzbs2ePPIcTeJtf/epXsuy9733vqNf43//93xkRpSjEZGVlmcuWLRslHGzfvl0EEptnn31Wnk+BJpHrrrtO1v385z83Z1KUmuo5i782H/rQh0Ysv+mmm2T5xRdfPGL5d77zHVn+s5/9LGls8Px0dnaOWMdtue6KK64YIeJx2VVXXTVqHG9605tk3VNPPTViOZdRdKqrq4st6+rqMn/wgx/Iv//85z+b//mf/znm+d6/f/+ciVK33nrriOUUzE6cODFjcUGxkNt++ctfHnMb+/j53uTvhx9+2JwKmzZtMl0ulzk4ODil5ymKoijKQkXL9xRFURQlBUjWfc/u9DVT7Nq1S362bNkiZVqJpVcsWWLJVCAQiPkvkWQG6W95y1uk1f3Jwtd8+9vfLiV9f/jDH2LLDx06JCVt73znO2PLWFpF2FkwkRe96EXy+ze/+Q3m85wlXtPE0kHCUsh4qqqq5Pfx48eTHgP9h1iOFs9rXvMa+f3AAw8gGo3Kv3/0ox9N6/yww5zdZY6wRI+liXYZ4Te/+c1Rz2EJH+G5mStYXhjPm970JikpnKm4sDvjscRwIuzx/8d//Acee+yxSY7A2jfLBNmJUlEURVFSATU6VxRFURRlUtDziNCfiV49yaBXDwWx5cuXx7a3RZN4KMZceOGFM3Jc//Vf/yWeRxQ/bGGBvkiXXnrpCP8n+3jo03TbbbeN8vehsXtra+uMHNN0z1k8icby3C7Z8rS0NPnd39+fdP+JYhihFxV/enp6REyh75Z9rBTy7I6MNhRCeH5aWlpG7WuscdnPo/hIwYvCIcU3ejnZIpzf78dcMdZxzlRc2B5ZiecuGfSSot8WX5Mx+9BDD03q/WDve2BgYMJtFUVRFGUxoKKUoiiKoqSw0flswMnzH//4x0lvP9sTaGYh0ez797//vZh3U2ChuTqNwpNxzz334G1vexvmkqmeM2Kb0092+VRJNBq3+e1vfxvLEJoM4x3PlVdeKYLUhz70IfzqV78Sk3fbrPvd7343Zgo722u6xzkTcWF3qxzrvCbyiU98QkQmduqbrDBl7zu+M6aiKIqiLGa0fE9RFEVRlEmxdu1a+c0ufck4ceKEdMtL3J7Lk02uuXyync0mgh3aKEwwY+r++++XjnXsNjeV43/mmWdw4MCBGTme6Z6z2YAZOYl0dHQgGAxKJpmdeTXRsT7++OOxzoeTgVlY7PrHLoRf+cpXYoLUyeB2u+V3Ytww02y6zFRcVFZWym92CpwsH/vYx/DlL39ZstwoTE1Uysd9U5BiiaSiKIqipAIqSimKoihKivOpT30K73nPe056P5s3b5aspP379yf1AmI2zJ133hl7bPsK/fKXvxy17Te+8Q3ZV3yGi539YQsO9PFJ5keUjLe+9a0ienz3u9/F17/+dSnpS4RlaSwd+/nPfz5qHcuzXvziF2P37t2YSaZ6zmaDp59+epQH0YMPPii/L7nkklgGkX29kp0fHjuzeGzfpMlgl5rxnCcylriVGAMsF7z66qvR19c3QvhhRlw8f/vb3zBdZioueJ2THdtEfPjDH8ZXv/rVCYUpvlcaGhokppKdU0VRFEVZjKgopSiKoigpDiez9MaZCVh2RdNsilwHDx6M+QKxVJAZP3fccUds24suukjKt37xi19IOR2PgQ3b/vSnP+GWW27BZz/72ZgfEuFk2/ZfoijxpS99SQzLJ4PX68UVV1whIkZtba34SSWydetWOc7nn39eSqdsDya+xsUXXyyiC3/PNFM5Z7MBzbx5HWxfJJ5feieVlZXJNUi8XhSs7rrrrlipGM8Xjem57qyzzpr061JgoujF88yMIGZm2RlXX/va15I+Z+PGjSK48BgJj4VikS1W0aCd/6aoyWvNeKIg9cgjj0z7/MxUXKxevVp+nn322SkfA8VJiqmMi7GEKQqb9npFURRFSRnmu/2foiiKoijTo6SkxPR4PNJa3jAMMy0tLemP0+k0L7/8cnnOgQMH5Hl2S/r8/Hx5/JnPfEbWr1+/XpbZbeu57rWvfe2I1z18+LD57ne/2ywvLzeLi4vNZcuWmZdddpm5b9++UccYjUbN7373u+bZZ59tLlmyxCwtLTXPPfdc8/777x+1bVtbm/nv//7vsl1ZWZn8m8v+8Ic/yHF4vV45Lq5PPCZy8OBBOQ/XXnvtuOftgQceMC+88EKzoKBAxrBhwwbzs5/9rNnf3z+l8//cc8/JceXk5Iw4Xw8++OCobSdzzjo6OkZdG3ucmzZtir0Of/Mx4frE68X9kCNHjshyXnuew3POOUfOa15envmWt7xF1o93vbjfiooKc9u2bebdd99thsPh2Haf+MQn5LW4f7fbLf9+4xvfOGp/vb295vXXX2+uWLHCTE9Pl3HztW+88cbYWE477bQRz7nzzjvNqqoqOU8bN240H3744RHr//Wvf5nnn3++PJf7u/rqq83du3fL/hgjPJa//vWv5gsvvDAqbvg42bhnKi6+9rWvSQwmvhfsGLavLY+dj/fs2TNiu29+85vyfPuc3nvvvbF1//3f/y1jaWpqmvTxKIqiKMpCx+D/zbcwpiiKoiiKoswsLJFjR7/LL79csrWU2YfdBs855xzJQvvd7343o75gp512Gm666SbccMMNM7ZfRVEURZlvtHxPURRFURRFUWYA+mixe2FdXZ34mk2mK+BENDY24pWvfKV0Bvz4xz8+I8epKIqiKAsFFaUURVEURVEUZYYoLy+Xjn30OaupqTnp/T300EPiycXOkmpwriiKoqQaWr6nKIqiKIqSYmzfvl3Mwtvb20Ucyc3NxX333YeXvexl831oiqIoiqIoMVSUUhRFURRFURRFURRFUeYcLd9TFEVRFEVRFEVRFEVR5hwVpRRFURRFURRFURRFUZQ5R0UpRVEURVEURVEURVEUZc5RUUpRFEVRFEVRFEVRFEWZc1SUUhRFURRFURRFURRFUeYcFaUURVEURVEURVEURVGUOUdFKUVRFEVRFEVRFEVRFGXOUVFKURRFURRFURRFURRFwVzz/wErE5CjjKKUhAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Query to find sources that have both temperature and mass measurements\n", + "combined_params_query = \"\"\"\n", + "SELECT \n", + " s1.source, \n", + " s1.value as temperature, \n", + " s2.value as mass,\n", + " s1.model as temp_model,\n", + " s2.model as mass_model,\n", + " s1.reference as temp_ref,\n", + " s2.reference as mass_ref\n", + "FROM ModeledParameters s1\n", + "JOIN ModeledParameters s2 ON s1.source = s2.source\n", + "WHERE s1.parameter = 'T eff' AND s2.parameter = 'mass'\n", + "ORDER BY s1.value\n", + "\"\"\"\n", + "\n", + "# Execute the query and store results in a DataFrame\n", + "combined_params = db.sql_query(combined_params_query)\n", + "params_df = pd.DataFrame(combined_params, \n", + " columns=['Source', 'Temperature (K)', 'Mass (MJup)', \n", + " 'Temp_Model', 'Mass_Model', 'Temp_Ref', 'Mass_Ref'])\n", + "\n", + "# Display summary information\n", + "print(f\"Found {len(params_df)} sources with both temperature and mass measurements\")\n", + "print(f\"Temperature range: {params_df['Temperature (K)'].min():.1f}K - {params_df['Temperature (K)'].max():.1f}K\")\n", + "print(f\"Mass range: {params_df['Mass (MJup)'].min():.2f}MJup - {params_df['Mass (MJup)'].max():.2f}MJup\")\n", + "\n", + "# Create a scatter plot with custom styling\n", + "plt.figure(figsize=(12, 8))\n", + "\n", + "# Create a colormap for different references\n", + "unique_refs = params_df['Temp_Ref'].unique()\n", + "cmap = plt.cm.viridis\n", + "colors = {ref: cmap(i % cmap.N) for i, ref in enumerate(unique_refs)}\n", + "\n", + "# Plot each point with color based on reference\n", + "for ref in unique_refs:\n", + " subset = params_df[params_df['Temp_Ref'] == ref]\n", + " plt.scatter(subset['Temperature (K)'], subset['Mass (MJup)'], \n", + " label=ref, alpha=0.7, edgecolors='black', linewidths=0.5,\n", + " s=80, color=colors[ref])\n", + "\n", + "# Add logarithmic scale for mass\n", + "# plt.yscale('log')\n", + "\n", + "# Add labels and title\n", + "plt.xlabel('Effective Temperature (K)', fontsize=14)\n", + "plt.ylabel('Mass (Jupiter Masses)', fontsize=14)\n", + "plt.title('Mass vs. Temperature', fontsize=16)\n", + "\n", + "# Add grid and legend\n", + "plt.grid(True, alpha=0.3, linestyle='--')\n", + "plt.legend(title='Reference', loc='upper left', frameon=True, fontsize=10)\n", + "\n", + "# Show plot with improved formatting\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64957381", + "metadata": {}, + "outputs": [], + "source": [ + "## Use plotly or bokeh to make interactive plots" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "27888c03", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a856bdda", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d373ff54", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From fa6035b29e6f2a2ab2549da63721b904d9018e76 Mon Sep 17 00:00:00 2001 From: canavarrete01 <100876091+canavarrete01@users.noreply.github.com> Date: Thu, 4 Sep 2025 13:53:20 -0400 Subject: [PATCH 04/11] Updating (removed typos, removed extra viz) --- QueryDemo.ipynb | 502 ++++-------------------------------------------- 1 file changed, 39 insertions(+), 463 deletions(-) diff --git a/QueryDemo.ipynb b/QueryDemo.ipynb index b8876589b..6f060e409 100644 --- a/QueryDemo.ipynb +++ b/QueryDemo.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "f244041f", "metadata": {}, "outputs": [ @@ -35,9 +35,10 @@ "from simple import REFERENCE_TABLES\n", "\n", "SCHEMA_PATH = \"simple/schema.yaml\" \n", + "recreatedb = False #Set to True or False\n", "db = load_astrodb(\n", " \"SIMPLE.sqlite\", \n", - " recreatedb=True, \n", + " recreatedb=recreatedb, \n", " reference_tables=REFERENCE_TABLES, \n", " felis_schema=SCHEMA_PATH\n", " )" @@ -135,7 +136,7 @@ "source": [ "#### Now that we know the tables,lets do a more detailed search into the tables and their content\n", "\n", - "#### Lets look at the sources available within SIMPLE" + "#### Lets look at the first 10 sources available within SIMPLE" ] }, { @@ -194,7 +195,9 @@ "id": "c95de403", "metadata": {}, "source": [ - "#### Thats a lot of sources! Lets say you just want to find all sources that start with \"WISE\" " + "#### Thats a lot of sources! Lets say you just want to find all sources that start with \"WISE\" \n", + "#### We can use the search_object function for this\n", + "#### Search_Object documentation: https://astrodbkit.readthedocs.io/en/latest/#identifier-name-search" ] }, { @@ -344,7 +347,8 @@ "id": "3ac5f930", "metadata": {}, "source": [ - "#### We know the source exist, so now we want to see all the data associated with the source. " + "#### We know the source exist, so now we want to see all the data associated with the source. \n", + "#### Inventory documentation: https://astrodbkit.readthedocs.io/en/latest/#inventory-search" ] }, { @@ -495,6 +499,14 @@ "#### Now lets do a broader search, say you want to find all objects with the publication reference \"Cruz18\" " ] }, + { + "cell_type": "markdown", + "id": "ab20b4a0", + "metadata": {}, + "source": [ + "##### Search string documentation: https://astrodbkit.readthedocs.io/en/latest/#full-string-search" + ] + }, { "cell_type": "markdown", "id": "6eaea4ee", @@ -641,12 +653,22 @@ "id": "9291275e", "metadata": {}, "source": [ - "#### Next exaple is query region, where you can use SkyCoord to create a coordinates object that query_region uses to query the database, in this example the Sources table. Make sure to use as accurate as a coordinate as possible. " + "#### Next example is query region, where you can use SkyCoord to create a coordinates object that query_region uses to query the database, in this example the Sources table. Make sure to use as accurate as a coordinate as possible. \n", + "#### Query_Region Documentation: https://astrodbkit.readthedocs.io/en/latest/#region-spatial-search" + ] + }, + { + "cell_type": "markdown", + "id": "029fa8c4", + "metadata": {}, + "source": [ + "##### Notes on Query Region: \n", + "##### If you have the exact coordinates of the object you are searching you can use query_region as shown. However, if you don't you can enter the optional parameter \"radius=x\" to allow for a larger search radius, otherwise you will get back an empty query if your coordinates aren't precise enough" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "id": "84eca441", "metadata": {}, "outputs": [ @@ -669,18 +691,17 @@ } ], "source": [ - "# An example of query wth an empty table\n", - "incorrect_results = db.query_region(SkyCoord(144.3, 29.5, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec') # specifying the name of the table with coordinate information\n", - "print(f\"Query results with approximate coordinates (144.3, 29.5): {len(incorrect_results)}\")\n", - "print(f'Table Results: \\n {incorrect_results}')\n", - "print(\"The query returned an empty result because the coordinates aren't precise enough.\")\n", - "print(\"Try using more precise coordinates or increasing the search radius.\")\n", + "# An example of query with precise coordinates ----------\n", + "precise_coords = db.query_region(SkyCoord(144.395292, 29.528028, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec') \n", + "print(f'Table Results: \\n {precise_coords}\\n')\n", + "\n", + "# An example that queries the database incorrectly\n", + "imprecise_coords = db.query_region(SkyCoord(144.3, 29.5, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec') \n", + "print(f'Table Results: \\n {imprecise_coords}\\n')\n", "\n", - "# An example that queries the database correctly \n", - "correct_results = db.query_region(SkyCoord(144.395292, 29.528028, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec') # specifying the name of the table with coordinate information\n", - "correct_results\n", - "print(f\"\\nQuery results with precise coordinates (144.395292, 29.528028): {len(correct_results)}\")\n", - "print(f'Table Results: \\n {correct_results}')\n" + "# An example that queries the database using the radius parameter\n", + "larger_search_area = db.query_region(SkyCoord(144.395, 29.528, radius=0.5*u.deg, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec',)\n", + "print(f'Table Results: \\n {len(larger_search_area)}\\n')" ] }, { @@ -1089,451 +1110,6 @@ " for row in result:\n", " print(f\"Reference: {row.reference}, Count: {row.count}\")\n" ] - }, - { - "cell_type": "markdown", - "id": "d9ab1e25", - "metadata": {}, - "source": [ - "#### SQLAlchemy ORM Query Methods" - ] - }, - { - "cell_type": "markdown", - "id": "18c9eccd", - "metadata": {}, - "source": [ - "##### What is SQLAlchemy ORM?\n", - "##### SQLAlchemy ORM (Object-Relational Mapping) is a powerful library that allows developers to interact with databases using Python objects instead of writing raw SQL queries. It provides a high-level abstraction over SQL, making it easier to work with databases in a more Pythonic way." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "3bf38191", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total number of sources: 3619\n", - "\n", - "Top 5 sources with the most spectra:\n", - "Source: 2MASS J04151954-0935066, Number of spectra: 9\n", - "Source: 2MASS J00361617+1821104, Number of spectra: 8\n", - "Source: 2MASS J03552337+1133437, Number of spectra: 8\n", - "Source: 2MASS J05395200-0059019, Number of spectra: 8\n", - "Source: 2MASS J06244595-4521548, Number of spectra: 8\n", - "\n", - "Top 5 references by number of sources:\n", - "Reference: Schm10.1808, Count: 208\n", - "Reference: Reid08.1290, Count: 206\n", - "Reference: West08, Count: 194\n", - "Reference: Cruz03, Count: 165\n", - "Reference: Maro15, Count: 113\n" - ] - } - ], - "source": [ - "# SQLAlchemy ORM methods for querying the database\n", - "from sqlalchemy.orm import sessionmaker\n", - "from sqlalchemy import func, desc\n", - "\n", - "Session = sessionmaker(bind=db.engine)\n", - "session = Session()\n", - "\n", - "# Using ORM to query all sources\n", - "all_sources = session.query(db.Sources).all()\n", - "print(f\"Total number of sources: {len(all_sources)}\") \n", - "\n", - "# Using ORM to find sources with the most spectra\n", - "most_spectra = session.query(db.Spectra.c.source, func.count(db.Spectra.c.source).label('count')).group_by(db.Spectra.c.source).order_by(desc('count')).limit(5).all()\n", - "print(\"\\nTop 5 sources with the most spectra:\")\n", - "for source in most_spectra:\n", - " print(f\"Source: {source[0]}, Number of spectra: {source[1]}\")\n", - "\n", - "# Using ORM to count sources by reference\n", - "counted_references = session.query(db.Sources.c.reference, func.count(db.Sources.c.source).label('count')).group_by(db.Sources.c.reference).order_by(desc('count')).limit(5).all()\n", - "print(\"\\nTop 5 references by number of sources:\")\n", - "for ref in counted_references:\n", - " print(f\"Reference: {ref[0]}, Count: {ref[1]}\")\n", - "\n", - "# Closing the session\n", - "session.close()\n", - "# Note: Always close the session to release resources\n" - ] - }, - { - "cell_type": "markdown", - "id": "f47b318d", - "metadata": {}, - "source": [ - "## Visualizing Spectra" - ] - }, - { - "cell_type": "markdown", - "id": "78ff2fed", - "metadata": {}, - "source": [ - "##### In the notebook VisualizingDemo.ipynb, we will go into further detail how to visualize data with SIMPLE. However for this use case, we will provide a simple method using the libraries Spectrum (Specutils) and Matplotlib for a basic tutorial.\n", - "\n", - "##### In this use case, we are looking to plot the spectra for the object with the most spectra available in SIMPLE. Using what we just learned, we can use SQL to query the database for this answer." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "5beadd28", - "metadata": {}, - "outputs": [], - "source": [ - "from specutils import Spectrum\n", - "import matplotlib.pyplot as plt\n", - "from astropy.io import fits\n", - "from matplotlib.ticker import MultipleLocator, FormatStrFormatter, AutoMinorLocator\n", - "plt.rcParams['font.family'] = 'serif'" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "036ccd2c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sources with multiple spectra:\n", - "2MASS J04151954-0935066: 9 spectra\n", - "2MASS J00361617+1821104: 8 spectra\n", - "2MASS J03552337+1133437: 8 spectra\n", - "2MASS J05395200-0059019: 8 spectra\n", - "2MASS J06244595-4521548: 8 spectra\n", - "2MASS J02550357-4700509: 7 spectra\n", - "2MASS J08251968+2115521: 7 spectra\n", - "2MASS J16241436+0029158: 7 spectra\n", - "2MASS J04234858-0414035: 6 spectra\n", - "2MASS J04390101-2353083: 6 spectra\n" - ] - } - ], - "source": [ - "# Query to find sources with multiple spectra\n", - "query = \"\"\"\n", - "SELECT source, COUNT(*) as spectra_count\n", - "FROM Spectra\n", - "GROUP BY source\n", - "HAVING COUNT(*) > 1\n", - "ORDER BY spectra_count DESC\n", - "LIMIT 10\n", - "\"\"\"\n", - "\n", - "results = db.sql_query(query)\n", - "\n", - "print(\"Sources with multiple spectra:\")\n", - "for result in results:\n", - " source_name = result[0]\n", - " count = result[1]\n", - " print(f\"{source_name}: {count} spectra\")\n" - ] - }, - { - "cell_type": "markdown", - "id": "50538ef7", - "metadata": {}, - "source": [ - "##### Great! We see that the object '2MASS J04151954-0935066' has the most spectra with 9 total spectra files associated with it. Let look further into this object to pull that data." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "4cbcdb74", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 9 spectra matching the query.\n", - "('2MASS J04151954-0935066', 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt', None, '$BDNYC_spectra/IRS/0415-0935 (LL2).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-09-06 00:00:00.000000', None, 'PID3259', None)\n", - "('2MASS J04151954-0935066', 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935.txt', None, '$BDNYC_spectra/IRS/0415-0935.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-09-07 00:00:00.000000', None, 'PID3431', None)\n", - "('2MASS J04151954-0935066', 'https://bdnyc.s3.amazonaws.com/IRS/2MASS+J04151954-0935066.fits', 'https://bdnyc.s3.amazonaws.com/IRS/0415-0935_IRS_spectrum.dat', None, 'mir', 'Spitzer', 'IRS', 'SL', '2005-09-06 00:00:00.000000', 'SL2,SL1, There are multiple observation dates', 'Suar22', None)\n", - "('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits', None, None, 'nir', 'Magellan I Baade', 'FIRE', 'Echelle', '2010-09-20 00:00:00.000000', None, 'Alej25', None)\n", - "('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits', None, None, 'nir', 'JWST', 'NIRSpec', 'F290LP.G395H', '2022-10-16 00:00:00.000000', None, 'Alej25', None)\n", - "('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits', None, None, 'nir', 'AKARI', 'IRC', 'IRC04', '2007-08-23 00:00:00.000000', None, 'Sora12', None)\n", - "('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits', 'https://s3.amazonaws.com/bdnyc/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', '$BDNYC_spectra/SpeX/Prism/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'nir', 'IRTF', 'SpeX', 'Prism', '2003-09-17 00:00:00.000000', None, 'Burg04.2856', None)\n", - "('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASSJ04151954-0935066_T8_LRIS_Burg03.fits', None, None, 'optical', 'Keck I', 'LRIS', 'Missing', '2001-02-20 00:00:00.000000', None, 'Burg03.510', None)\n", - "('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASS_J04151954-0935066_2006-12-26.fits', None, None, 'optical', 'Keck I', 'LRIS', 'Missing', '2006-12-26 00:00:00.000000', None, 'Kirk08', None)\n" - ] - } - ], - "source": [ - "spectra_query = \"SELECT * FROM Spectra WHERE Source LIKE '%2MASS J0415%'\"\n", - "spectra_results = db.sql_query(spectra_query)\n", - "\n", - "print(f\"Found {len(spectra_results)} spectra matching the query.\")\n", - "\n", - "if spectra_results:\n", - " for spectrum in spectra_results: \n", - " print(spectrum)" - ] - }, - { - "cell_type": "markdown", - "id": "241e66cf", - "metadata": {}, - "source": [ - "##### We see that are several spectra from different instruments associated with 2MASS J0415, so lets narrow down to only a couple. Lets look at only those in the near infared which can be done by only selecting those with 'nir' as a key." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "48d4f657", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[('2MASS J04151954-0935066', 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt', None, '$BDNYC_spectra/IRS/0415-0935 (LL2).txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-09-06 00:00:00.000000', None, 'PID3259', None), ('2MASS J04151954-0935066', 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935.txt', None, '$BDNYC_spectra/IRS/0415-0935.txt', 'mir', 'Spitzer', 'IRS', 'Missing', '2005-09-07 00:00:00.000000', None, 'PID3431', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.amazonaws.com/IRS/2MASS+J04151954-0935066.fits', 'https://bdnyc.s3.amazonaws.com/IRS/0415-0935_IRS_spectrum.dat', None, 'mir', 'Spitzer', 'IRS', 'SL', '2005-09-06 00:00:00.000000', 'SL2,SL1, There are multiple observation dates', 'Suar22', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits', None, None, 'nir', 'Magellan I Baade', 'FIRE', 'Echelle', '2010-09-20 00:00:00.000000', None, 'Alej25', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits', None, None, 'nir', 'JWST', 'NIRSpec', 'F290LP.G395H', '2022-10-16 00:00:00.000000', None, 'Alej25', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits', None, None, 'nir', 'AKARI', 'IRC', 'IRC04', '2007-08-23 00:00:00.000000', None, 'Sora12', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits', 'https://s3.amazonaws.com/bdnyc/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', '$BDNYC_spectra/SpeX/Prism/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'nir', 'IRTF', 'SpeX', 'Prism', '2003-09-17 00:00:00.000000', None, 'Burg04.2856', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASSJ04151954-0935066_T8_LRIS_Burg03.fits', None, None, 'optical', 'Keck I', 'LRIS', 'Missing', '2001-02-20 00:00:00.000000', None, 'Burg03.510', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASS_J04151954-0935066_2006-12-26.fits', None, None, 'optical', 'Keck I', 'LRIS', 'Missing', '2006-12-26 00:00:00.000000', None, 'Kirk08', None)]\n", - "Total spectra for 2MASS J04151954-0935066: 9\n", - "Found 4 NIR spectra\n", - "1. FIRE_0415-0935.fits - Instrument: FIRE, Reference: Alej25\n", - "2. jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits - Instrument: NIRSpec, Reference: Alej25\n", - "3. AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits - Instrument: IRC, Reference: Sora12\n", - "4. IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits - Instrument: SpeX, Reference: Burg04.2856\n", - "[('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits', None, None, 'nir', 'Magellan I Baade', 'FIRE', 'Echelle', '2010-09-20 00:00:00.000000', None, 'Alej25', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits', None, None, 'nir', 'JWST', 'NIRSpec', 'F290LP.G395H', '2022-10-16 00:00:00.000000', None, 'Alej25', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits', None, None, 'nir', 'AKARI', 'IRC', 'IRC04', '2007-08-23 00:00:00.000000', None, 'Sora12', None), ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits', 'https://s3.amazonaws.com/bdnyc/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', '$BDNYC_spectra/SpeX/Prism/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'nir', 'IRTF', 'SpeX', 'Prism', '2003-09-17 00:00:00.000000', None, 'Burg04.2856', None)]\n" - ] - } - ], - "source": [ - "print(spectra_results)\n", - "\n", - "print(f\"Total spectra for {source_name}: {len(spectra_results)}\")\n", - "\n", - "# Filter only the NIR spectra\n", - "nir_spectra = []\n", - "\n", - "for spec in spectra_results:\n", - " # Check regime field (index 4) for 'nir' value\n", - " if spec[4] and 'nir' in spec[4].lower():\n", - " nir_spectra.append(spec)\n", - "\n", - "print(f\"Found {len(nir_spectra)} NIR spectra\")\n", - "\n", - "for i, spec in enumerate(nir_spectra):\n", - " instrument = spec[6]\n", - " reference = spec[10] \n", - " url = spec[1].split('/')[-1] \n", - " print(f\"{i+1}. {url} - Instrument: {instrument}, Reference: {reference}\")\n", - "\n", - "print(nir_spectra)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1b2c0657", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loading https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits... \n", - " Units for wavelength: um, Units for flux: erg / (Angstrom s cm2)\n", - "Loading https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits... \n", - " Units for wavelength: um, Units for flux: Jy\n", - "Loading https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits... \n", - " Units for wavelength: um, Units for flux: W / (um m2)\n", - "Loading https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits... \n", - " Units for wavelength: um, Units for flux: erg / (Angstrom s cm2)\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from specutils import Spectrum1D\n", - "import numpy as np\n", - "from matplotlib.ticker import AutoMinorLocator\n", - "import matplotlib.pyplot as plt\n", - "import astropy.units as u\n", - "\n", - "\n", - "fig, ax = plt.subplots(figsize=(10, 6))\n", - "\n", - "# Loop through the NIR spectra \n", - "for i, spec_data in enumerate(nir_spectra):\n", - " try:\n", - " # Extract data\n", - " url = spec_data[1]\n", - " instrument = spec_data[6] if spec_data[6] else \"Unknown\"\n", - " reference = spec_data[10] if spec_data[10] else \"Unknown\"\n", - " \n", - " # Load the spectrum\n", - " spec = Spectrum1D.read(url, format = 'tabular-fits')\n", - " \n", - " # Get wavelength and flux with units\n", - " wavelength = spec.spectral_axis\n", - " flux = spec.flux\n", - " \n", - " print(f\"Loading {url}... \\n Units for wavelength: {wavelength.unit}, Units for flux: {flux.unit}\")\n", - " \n", - " # Plot with distinct color and style for each spectrum\n", - " ax.plot(wavelength, flux, \n", - " label=f\"{instrument} ({reference})\",\n", - " alpha=0.8,\n", - " linewidth=1.5)\n", - " \n", - " except Exception as e:\n", - " print(f\"Failed to load or plot spectrum: {url}\")\n", - " print(f\"Error: {str(e)}\")\n", - "\n", - "# Plot configuration\n", - "ax.set_xlabel(\"Wavelength (μm)\")\n", - "ax.set_ylabel(\"Flux\")\n", - "\n", - "ax.xaxis.set_minor_locator(AutoMinorLocator())\n", - "ax.yaxis.set_minor_locator(AutoMinorLocator())\n", - "ax.grid(True, which='major', color='gainsboro', linewidth=0.5)\n", - "ax.grid(True, which='minor', color='gainsboro', linewidth=0.3, alpha=0.5)\n", - "\n", - "ax.set_yscale('log')\n", - "\n", - "ax.set_title(f\"NIR Spectra for {source_name}\", fontsize=14)\n", - "ax.legend(loc='best', fontsize='small')\n", - "\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "dfe8dcf7", - "metadata": {}, - "source": [ - "##### Notice how in our print statements it points out that some of our spectra has different units for Flux? Lets correct that and plot again. The most common of these four is erg / (Angstrom s cm2). I am also going to not include SpeX data as it's units are incorrect." - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "id": "8ad29bda", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loading https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits... \n", - " Units for wavelength: um, Units for flux: erg / (Angstrom s cm2)\n", - "Changed Units for wavelength: um, Units for flux: erg / (Angstrom s cm2) \n", - "\n", - "Loading https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits... \n", - " Units for wavelength: um, Units for flux: Jy\n", - "Changed Units for wavelength: um, Units for flux: erg / (Angstrom s cm2) \n", - "\n", - "Loading https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits... \n", - " Units for wavelength: um, Units for flux: W / (um m2)\n", - "Changed Units for wavelength: um, Units for flux: erg / (Angstrom s cm2) \n", - "\n", - "Loading https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits... \n", - " Units for wavelength: um, Units for flux: erg / (Angstrom s cm2)\n", - "Changed Units for wavelength: um, Units for flux: erg / (Angstrom s cm2) \n", - "\n", - "Skipping SpeX spectrum due to unit issues: https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits\n" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import astropy.constants as const\n", - "\n", - "\n", - "# Loop through each NIR spectrum and load it\n", - "for i, spec_data in enumerate(nir_spectra):\n", - " try:\n", - " # Extract data\n", - " url = spec_data[1]\n", - " instrument = spec_data[6] \n", - " reference = spec_data[10]\n", - " \n", - " # Load the spectrum\n", - " spec = Spectrum1D.read(url, format='tabular-fits')\n", - " \n", - " # Get wavelength and flux with units\n", - " wavelength = spec.spectral_axis\n", - " flux = spec.flux\n", - " \n", - " print(f\"Loading {url}... \\n Units for wavelength: {wavelength.unit}, Units for flux: {flux.unit}\")\n", - " \n", - " target_unit = u.erg / (u.s * u.cm**2 * u.AA)\n", - "\n", - " if not flux.unit.is_equivalent(target_unit):\n", - " if flux.unit == u.Jy:\n", - " lam = wavelength.to(u.AA) \n", - " fnu = flux.to(u.erg / u.s / u.cm**2 / u.Hz) \n", - " flux = fnu * (const.c.to(u.AA/u.s) / lam**2) \n", - " flux = flux.to(target_unit)\n", - "\n", - " elif flux.unit == u.W / (u.um * u.m**2):\n", - " flux = flux.to(target_unit)\n", - "\n", - " flux = flux.to(target_unit) # Safety conversion in case of other units\n", - "\n", - " \n", - " print(f\"Changed Units for wavelength: {wavelength.unit}, Units for flux: {flux.unit} \\n\")\n", - " \n", - " if i == 0:\n", - " plt.figure(figsize=(12, 8))\n", - " ax = plt.gca()\n", - " reference_flux = flux\n", - " \n", - " # Plot each spectrum with a unique color and label\n", - " if instrument == \"SpeX\":\n", - " print(f\"Skipping SpeX spectrum due to unit issues: {url}\")\n", - " else:\n", - " plt.plot(wavelength, flux, label=f\"{instrument} ({reference})\", alpha=0.8, linewidth=1.5)\n", - " \n", - " except Exception as e:\n", - " print(f\"Failed to load or plot spectrum: {url}\")\n", - " print(f\"Error: {str(e)}\")\n", - "\n", - "# Plot configuration\n", - "plt.xlabel(\"Wavelength (μm)\")\n", - "plt.ylabel(\"Flux (erg / Å s cm²)\")\n", - "plt.title(f\"NIR Spectra of {source_name}\", fontsize=14)\n", - "plt.grid(True, color='lightgray', linestyle='-', linewidth=0.5, alpha=0.5)\n", - "plt.legend(loc='upper right')\n", - "\n", - "plt.yscale('log')\n", - "\n", - "plt.tight_layout()\n", - "plt.show()" - ] } ], "metadata": { From 137caa6705f43aaff0c976961fd8313fbd39a3c0 Mon Sep 17 00:00:00 2001 From: canavarrete01 <100876091+canavarrete01@users.noreply.github.com> Date: Fri, 5 Sep 2025 13:47:04 -0400 Subject: [PATCH 05/11] Updating notebooks, ready for review --- QueryDemo.ipynb | 50 +- VisualizingDemo.ipynb | 2190 ++++++++++++++++------------------------- 2 files changed, 867 insertions(+), 1373 deletions(-) diff --git a/QueryDemo.ipynb b/QueryDemo.ipynb index 6f060e409..180e7d96b 100644 --- a/QueryDemo.ipynb +++ b/QueryDemo.ipynb @@ -18,18 +18,10 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "f244041f", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 3619/3619 [00:20<00:00, 173.50it/s]\n" - ] - } - ], + "outputs": [], "source": [ "from astrodb_utils import load_astrodb\n", "from simple import REFERENCE_TABLES\n", @@ -149,7 +141,7 @@ "data": { "text/html": [ "
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\n", "\n", "\n", "\n", @@ -517,7 +509,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "147cb0e8", "metadata": {}, "outputs": [ @@ -639,7 +631,7 @@ " 2MASS J22490917+3205489 ... None}" ] }, - "execution_count": 9, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -668,7 +660,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "84eca441", "metadata": {}, "outputs": [ @@ -676,32 +668,36 @@ "name": "stdout", "output_type": "stream", "text": [ - "Query results with approximate coordinates (144.3, 29.5): 0\n", - "Table Results: \n", + "Table Results for (144.395292, 29.528028): \n", + " source ra dec ... other_references comments\n", + "----------------------- ---------- --------- ... ---------------- --------\n", + "2MASS J09373487+2931409 144.395292 29.528028 ... None None\n", + "\n", + "Table Results for (144.3, 29.5): \n", " \n", - "The query returned an empty result because the coordinates aren't precise enough.\n", - "Try using more precise coordinates or increasing the search radius.\n", "\n", - "Query results with precise coordinates (144.395292, 29.528028): 1\n", - "Table Results: \n", + "Table Results for (144.395, 29.528, radius=60.0 arcsecs): \n", " source ra dec ... other_references comments\n", "----------------------- ---------- --------- ... ---------------- --------\n", - "2MASS J09373487+2931409 144.395292 29.528028 ... None None\n" + "2MASS J09373487+2931409 144.395292 29.528028 ... None None\n", + "\n" ] } ], "source": [ + "from astropy.units.quantity import Quantity\n", + "\n", "# An example of query with precise coordinates ----------\n", "precise_coords = db.query_region(SkyCoord(144.395292, 29.528028, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec') \n", - "print(f'Table Results: \\n {precise_coords}\\n')\n", + "print(f'Table Results for (144.395292, 29.528028): \\n {precise_coords}\\n')\n", "\n", "# An example that queries the database incorrectly\n", "imprecise_coords = db.query_region(SkyCoord(144.3, 29.5, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec') \n", - "print(f'Table Results: \\n {imprecise_coords}\\n')\n", + "print(f'Table Results for (144.3, 29.5): \\n {imprecise_coords}\\n')\n", "\n", "# An example that queries the database using the radius parameter\n", - "larger_search_area = db.query_region(SkyCoord(144.395, 29.528, radius=0.5*u.deg, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec',)\n", - "print(f'Table Results: \\n {len(larger_search_area)}\\n')" + "larger_search_area = db.query_region(SkyCoord(144.395, 29.528, frame='icrs', unit='deg'), radius=Quantity(60., unit='arcsec'), output_table='Sources', ra_col='ra', dec_col='dec',)\n", + "print(f'Table Results for (144.395, 29.528, radius=60.0 arcsecs): \\n {(larger_search_area)}\\n')" ] }, { diff --git a/VisualizingDemo.ipynb b/VisualizingDemo.ipynb index ac98c0f23..91e0d0171 100644 --- a/VisualizingDemo.ipynb +++ b/VisualizingDemo.ipynb @@ -54,7 +54,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "bf58d6a0", "metadata": {}, "outputs": [], @@ -64,158 +64,143 @@ "from simple import REFERENCE_TABLES\n", "\n", "SCHEMA_PATH = \"simple/schema.yaml\" \n", + "recreatedb = False #Set to True or False\n", "db = load_astrodb(\n", " \"SIMPLE.sqlite\", \n", - " recreatedb=False, \n", + " recreatedb=recreatedb, \n", " reference_tables=REFERENCE_TABLES, \n", " felis_schema=SCHEMA_PATH\n", " )" ] }, { - "cell_type": "code", - "execution_count": 20, - "id": "b45dd3a7", + "cell_type": "markdown", + "id": "31d0bd60", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total number of objects in the SIMPLE database: 3619 \n", - "\n", - "Total number of WISE objects in the SIMPLE database: 616 \n", - "\n", - "First Five WISE Sources:\n" - ] - }, - { - "data": { - "text/html": [ - "
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CWISEP J230158.30-645858.3345.4929166666666-64.98286111111112NoneNoneNoneMeis20.74NoneNone
WISE J200403.17-263751.7301.013-26.6293None2000NoneThom13NoneNone
WISEA J012834.87-280302.522.145291666666665-28.050694444444446NoneNoneNoneMeis20.123NoneNone
WISE J235402.77+024015.0358.51165432.6705854NoneNone2354+0240Schn15NoneNone
WISEA J001450.17-083823.43.7046-8.639None2000NoneKirk14NoneNone
" - ], - "text/plain": [ - "\n", - " source ra ... other_references comments\n", - " str27 float64 ... object object \n", - "-------------------------- ------------------ ... ---------------- --------\n", - "CWISEP J230158.30-645858.3 345.4929166666666 ... None None\n", - " WISE J200403.17-263751.7 301.013 ... None None\n", - " WISEA J012834.87-280302.5 22.145291666666665 ... None None\n", - " WISE J235402.77+024015.0 358.5116543 ... None None\n", - " WISEA J001450.17-083823.4 3.7046 ... None None" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "# Query the total number of objects within SIMPLE\n", - "print(f\"Total number of objects in the SIMPLE database: {db.query(db.Sources).count()} \\n\")\n", - "\n", - "# Query for WISE objects within SIMPLE\n", - "wise_sources_query = \"SELECT * FROM Sources WHERE source LIKE '%WISE%'\"\n", - "print(f\"Total number of WISE objects in the SIMPLE database: {len(db.sql_query(wise_sources_query))} \\n\")\n", - "print(\"First Five WISE Sources:\")\n", - "db.sql_query(wise_sources_query, fmt='astropy')[:5]" + "### Visualization Methods" ] }, { "cell_type": "markdown", - "id": "31d0bd60", + "id": "1348cffa", "metadata": {}, "source": [ - "### Visualization Methods" + "#### Lets try first plotting a single spectra from a single source" + ] + }, + { + "cell_type": "markdown", + "id": "5554b341", + "metadata": {}, + "source": [ + "##### In this use case, we are looking to plot the spectra for the object with the most spectra available in SIMPLE. Using what we just learned, we can use SQL to query the database for this answer." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "57abb8b5", + "metadata": {}, + "outputs": [], + "source": [ + "from specutils import Spectrum\n", + "import matplotlib.pyplot as plt\n", + "from astropy.io import fits\n", + "from matplotlib.ticker import MultipleLocator, FormatStrFormatter, AutoMinorLocator\n", + "plt.rcParams['font.family'] = 'serif'" ] }, { "cell_type": "markdown", - "id": "88f4fd23", + "id": "cabdecd3", "metadata": {}, "source": [ - "#### Lets first try plotting multiple spectra from a single source." + "##### Lets do an inventory check of '2MASS J04151954-0935066' using db.inventory (https://astrodbkit.readthedocs.io/en/latest/astrodb.html#astrodbkit.astrodb.Database.inventory)" ] }, { "cell_type": "code", "execution_count": null, - "id": "86f16fd1", + "id": "ffb5f00c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Found 9 spectra matching the query.\n", - "Found 3 NIR spectra for the source.\n", - "\n", - "NIR Spectra Details:\n", - "0 ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits', None, None, 'nir', 'Magellan I Baade', 'FIRE', 'Echelle', '2010-09-20 00:00:00.000000', None, 'Alej25', None)\n", - "1 ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits', None, None, 'nir', 'JWST', 'NIRSpec', 'F290LP.G395H', '2022-10-16 00:00:00.000000', None, 'Alej25', None)\n", - "2 ('2MASS J04151954-0935066', 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits', None, None, 'nir', 'AKARI', 'IRC', 'IRC04', '2007-08-23 00:00:00.000000', None, 'Sora12', None)\n" + "{'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt', 'original_spectrum': None, 'local_spectrum': '$BDNYC_spectra/IRS/0415-0935 (LL2).txt', 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'Missing', 'observation_date': datetime.datetime(2005, 9, 6, 0, 0), 'comments': None, 'reference': 'PID3259', 'other_references': None}\n" ] } ], "source": [ - "spectra_query = \"SELECT * FROM Spectra WHERE Source LIKE '%2MASS J0415%'\"\n", - "spectra_results = db.sql_query(spectra_query)\n", - "\n", - "print(f\"Found {len(spectra_results)} spectra matching the query.\")\n", - "\n", - "nir_spectra = []\n", - "for spec in spectra_results:\n", - " if 'nir' in spec[4].lower():\n", - " if \"SpeX\" not in spec[6]: # Exclude SpeX spectra\n", - " nir_spectra.append(spec)\n", - "\n", - "print(f'Found {len(nir_spectra)} NIR spectra for the source.\\n')\n", - "\n", - "# Display the NIR spectra details\n", - "print(\"NIR Spectra Details:\")\n", - "for i, spectra in enumerate(nir_spectra):\n", - " print(i, spectra)" + "results = db.inventory(\"2MASS J04151954-0935066\")" + ] + }, + { + "cell_type": "markdown", + "id": "a9a16c32", + "metadata": {}, + "source": [ + "##### Now lets parse through that dictionary output to only view the spectra associated with 2MASS 0415" ] }, { "cell_type": "code", - "execution_count": null, - "id": "9481f21c", + "execution_count": 69, + "id": "d88e9426", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Loading https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits... \n", - " Units for wavelength: um, Units for flux: erg / (Angstrom s cm2)\n", - "Updated Units for flux: erg / (Angstrom s cm2) \n", - "\n", - "Loading https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits... \n", - " Units for wavelength: um, Units for flux: Jy\n", - "Updated Units for flux: erg / (Angstrom s cm2) \n", - "\n", - "Loading https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits... \n", - " Units for wavelength: um, Units for flux: W / (um m2)\n", - "Updated Units for flux: erg / (Angstrom s cm2) \n", - "\n" + "{'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt', 'original_spectrum': None, 'local_spectrum': '$BDNYC_spectra/IRS/0415-0935 (LL2).txt', 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'Missing', 'observation_date': datetime.datetime(2005, 9, 6, 0, 0), 'comments': None, 'reference': 'PID3259', 'other_references': None}\n", + "{'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935.txt', 'original_spectrum': None, 'local_spectrum': '$BDNYC_spectra/IRS/0415-0935.txt', 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'Missing', 'observation_date': datetime.datetime(2005, 9, 7, 0, 0), 'comments': None, 'reference': 'PID3431', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.amazonaws.com/IRS/2MASS+J04151954-0935066.fits', 'original_spectrum': 'https://bdnyc.s3.amazonaws.com/IRS/0415-0935_IRS_spectrum.dat', 'local_spectrum': None, 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'SL', 'observation_date': datetime.datetime(2005, 9, 6, 0, 0), 'comments': 'SL2,SL1, There are multiple observation dates', 'reference': 'Suar22', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'nir', 'telescope': 'Magellan I Baade', 'instrument': 'FIRE', 'mode': 'Echelle', 'observation_date': datetime.datetime(2010, 9, 20, 0, 0), 'comments': None, 'reference': 'Alej25', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'nir', 'telescope': 'JWST', 'instrument': 'NIRSpec', 'mode': 'F290LP.G395H', 'observation_date': datetime.datetime(2022, 10, 16, 0, 0), 'comments': None, 'reference': 'Alej25', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'nir', 'telescope': 'AKARI', 'instrument': 'IRC', 'mode': 'IRC04', 'observation_date': datetime.datetime(2007, 8, 23, 0, 0), 'comments': None, 'reference': 'Sora12', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits', 'original_spectrum': 'https://s3.amazonaws.com/bdnyc/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'local_spectrum': '$BDNYC_spectra/SpeX/Prism/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'regime': 'nir', 'telescope': 'IRTF', 'instrument': 'SpeX', 'mode': 'Prism', 'observation_date': datetime.datetime(2003, 9, 17, 0, 0), 'comments': None, 'reference': 'Burg04.2856', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASSJ04151954-0935066_T8_LRIS_Burg03.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'optical', 'telescope': 'Keck I', 'instrument': 'LRIS', 'mode': 'Missing', 'observation_date': datetime.datetime(2001, 2, 20, 0, 0), 'comments': None, 'reference': 'Burg03.510', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASS_J04151954-0935066_2006-12-26.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'optical', 'telescope': 'Keck I', 'instrument': 'LRIS', 'mode': 'Missing', 'observation_date': datetime.datetime(2006, 12, 26, 0, 0), 'comments': None, 'reference': 'Kirk08', 'other_references': None}\n" ] + } + ], + "source": [ + "for i in range(len(results['Spectra'])):\n", + " print(results['Spectra'][i])" + ] + }, + { + "cell_type": "markdown", + "id": "11009f80", + "metadata": {}, + "source": [ + "##### Lets first plot up just one of these spectra, you can directly copy the link from the dictionary and use Spectrum to visualize the data" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "95856ade", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'JWST NIRSpec Spectrum of 2MASS J04151954-0935066')" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" }, { "data": { - "image/png": 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Wxb5w3iA20fZAoKE/wP3tJRREAQuie++9V1mOcV08RPIbJRzKcEOjgcebCBphIzAe+/vf/z7u24NtQlwYNQReCSIAAYZt/ec///HMQoS3Dbw1aH00tA3W008/rVg9VHGEBkg7to66aMfB1fMrCyU0UuhMtMDpEQ8mrgv2ifNr5WtlxfLly2MTJkxQ/L/UzmnIkCEJTrrqNdIKGNXRVxVKeAvF9+eeey6hHBonLIdvBxg/frzy3arzsyOI5DdjGaeCCNdOBo03LGIyjz/+uLL+N998Y1pvXD+8WWpBB4H158yZY1pPu8AfD35+eudAFkR4E0ed4HyNewcdB8S1OkHATATgbVn2FcSxQ6z/+te/1i2PjgGTLXBPH3HEEfF7CsJDjwULFiiWD9zvalkIerc+RE4EEd7kYfGShasXgkgPiEKsg/Oih5UYgb+LKmrRPuP5hA8gOmQst/JZgTDVPnOwgMgi2S9BBHDcaLsgLiAyVMsjxAeOwQgc6yuvvKK8SMDKZgV80GA1l9tFJ4II9zaWaZ2i0R6gD4T1F6CPQzmtozXEH5br+aqlAn2IAgZ+GOp468cff6z4icBHB8BHRZ32C38g7VisDHxGfvvb34oPP/xQ8em5/vrrFZ8jTM30G/g6wN9l7Nixtn09rICPC+LEYKo/jkmP4uJixecEPiKYxowpm/DfQD2003hbtGiRtD58i9RxaQCfLfytnUqK8wjfHfiL4ANfCHVdt2BcH9PsP/vsM+WcYVo3fJXgX6JFW3e9eoPf/e53CfW+4oorRPv27UV5eXlCuVTrDpo3by68AFPPZeBrpLcMwO/ADByf3rGpfgVW/l12eOCBB5Rp4PhYnYOioiLFhwo+Owi1gGt7ww03KH41ZiDsBnyhTjnllPi1hM8EzstTTz0V9xuSgY/TOeecI/72t78pvkCYzg2fQfifzZ07N6k8/MLgcwafOdyD8PuCbwr8etyA8446wGdEi7pM9UW5+eabxR133OHaN8UJ8HHD87NgwQJX66P9xLXDeUEbh/b6e9/7ntI2w18O7YIZ8FkE6v6fe+45JbQG2igrVB8+9aP6BsHfy855BvCTnDJliuI3CP+uH/3oR+LXv/61cizwszMCPo3f//73lbJ//etfLWMkoU7wuZTPM5bJ9TKrp/os4Ti1fnDoA+EPZVbuqKOOEi1btkzwufUCCqKAgQA69NBDFdHz+uuvxwUSgACCOMJy/K46Ycsg9oTWqRlOjY888ojiVLpkyRLfjwENw8svv6zcuOjY9WJRuAGOxIcddljcyVcFjbi2kYeD6o9//GNFREEAoIyMXpwT1VEbcZ3UBxjnDHF45M/69esVx1pcJzSAaPh3797t6pgg2rTxfdCQYDk6PL3rpa27Xr0BHJvleiO+Duqtiiy1nNu62wENqdZhHI6ZQYDj0zs29Xyl2gFDwEJ8Q7jadd5EXCzcN+iQ8IzguxX//Oc/xZw5c5LuQ4gdXM///e9/CecWIkkLHFHVSQPyPYVtaIUlOhc15pnb9gIiDxM+4NSrBcvQkeGlDZ0hXjDwEqXt7BFbRv2ufX7toMZc04Ln1Sjujd12CB096oSXM4gZiFyIHdXZHm2eXhuD5wGo+3/rrbeUa4Z2Xz1WtX3Dyx++Y0IFwHWWrz8mCACUwXmUJ5oA9dyrTtPqsWOiBATFl19+Kd577z1F6KD+cHZXQawhPaF90kHhoQoS9cVC7+UExyqfZ3Vd7T2hV08INPk8GZ0/o3J6+/cCCqKAwdvv8OHDlVlLzz//fILogdDALDG8jUKhy7N3VPAGCK97PfAwBPEWBtAY4i0Ks4/Q+HsBxOBNN92kWMfkwHT4e+LEibrrqA+Q9rghQr799tuEZXibwCwmVVjgOuDNXBscEY0gLG6qVQqdDd6qtYH30NnhGpqBeusF2TOqN4Cw0dYbqLO/YBnAtUadtOD8wVqgHp+8vgo6QQTyVBsT1UKpChvMCtOeOyNgkdKKEjTEQYDjQ2OrWsJUMNMKVgL1fLkB1w0vJRDiqlUAzx1mCpmB++X222+PW21hNTIDnSWuj/YNWLUY4NpAMKmgU7zqqqt0A3rq3VOYhfnVV1/ZKusUzO7DTMmtW7cmdLQQEz/84Q+VexTXAcIF7YS2s8eLnPod7YlT8PIkB7hVZxXi2e/fv7+rY0K7rA32h33gmfnFL34RX4YAs5deemnS+qpVR90/Zh3CIiwfu9peIjgnvstBd43OM0C7KIPvEJ2qcFKfXa1lFCMReEauueaa+DIciyrEZDYcnJGovkypx4JtyECg4bjk84y+DEJYr56433BPqECkAdwX2pl+6CPV7aLtxfOnLYdrgnZnwIABwlM8HYAjlj5EAL4f+A3B1fQCg+E3I58VjL1jPFn25Ie/AhwMMfYKr32/fYhk4OOA7XoVhwiOhxjrlo9fHXP/85//nODzAOdS+GzAiVYGdcE2MLPGbJYZ6oVZSvDNUcvBwQ9+PvLsPuwHwcbgG6Hy2muvKc6bGKM3A8cJ3y55xg3iyyDeEhyCZV8D9RrBB8VqlhmcdTFrRI3jAX8BzKzCurIzsXaWGfxg4CD5u9/9LsG/RHXGxj5QXg0kqV5DI9RAoYiPA1auXKn4ghn5EGnvE3zX3l924yKp1w9+B+q5gZN7qrPMMGEAPmh///vfFZ819YP4Ltr6yz5EKvAlgn8H/tXWQXusOH9mPhuIWwNnWHXygHqPYGKF6qQL4OwLZ2C0DXv37o0vR1lsQ544gFk/8AOEvwh8MVIJzIg4OJjNqQZmxKwrXBOjwIxm58KpDxF+w7VXzzOOG/c2/Au1M6Ds+u+gLYDDsOrPhXOFbWJWk3Y7uM9kJ2T4TGHf2pmeTuugB55jPFdqYEa0P9i/GkBSBb428CNSJ+3AFw3tGfwXZXAfY7YifBtVli1bpiw76qijEnwbcZ3g/6Pebzg3V1xxhdJ+aWMGITAjfIvUdgn3F4JawrdKBm0gfKNwz6q+eZgxC18nOP3LwP8KfZs6oxf3Gq4HnaqbiCCCYx4cddGpGQVeU6c1620XAcJwk2NGFmZo4YbFQzt79mzdddDgqp0Ubk500FYzeNTGAevhxsc6uNm14MHDjCy5o0ADhfLYF/aJbagPBByg8Ru2qc4yk2fXAEwnxnqYkQQHYzT29913n+KEjG1hORpiHD+ma2s7HrWThVMtpi6jLIQCAqNpwQOFqfEIaIdzihk5mDmiBQ84RBrEAup83nnnJTQmRsBREVNUcZ1QXzjKo25w3JZn4cgdD+qJRg2OvOiYIfi0HQw6H0yTxfmAoyzqjk5SdUZUgdCDkzWmqmLfOHdwwtRODYZDJOqFMuosDziTqtcQx6znqIrt4/5CR4z6Yt3p06fHrzuuH86Tes1xPOp0cvyL7+r9hRlVcPzFOVbXh4O1GRCaquiDAzPqgKm6KhCC2LY6qwV/axtnGXQKqtOx3ke+zyEEsE91u9rOQQXL1Tqox4rnAOcKohZ115vqjesOZ2TsF50UXgjgoA2xd9FFFynnB9vC9cf1xTXUTqrAiwA6D/XaY8o0toVlEK92MHuZwv7gnI3ODaIdz4XZdnGvaM8Fnj8ZPNPa9gPf5RlN6oslniMcG14ucQ9iGr7ezDwIT2xDvbdw3fBd22ZiejdmquFZwIsIImpj9qA2qjkc5tEmoSyebZx/nFs8a7JzvAxEsl4d7FwHXHeITVxrtCO4z/VmhKHfwHXGNUYZTLqRXwJV8ExC+Kt9CK7f0UcfrdyT2pc8zPpV7yGUR1uJ2aFqNGwtmBijtnc4J5hBqReKACIdghbXDfcOto/665VFME+cK5xnXJuLL77Yl2n3WfiftzYnopoJMSwBXxH4upDgQPA/DDl6lRQyKFBfOAvCzI5jICQMYBgKfm/33Xef4hxNSFOFPkQesXLlyoTs2eo4rplnPyGEhA34P6mRzAHbMhIVKIg8Al75cLiENz6cVTE7pXPnzspUWkIIySSLEBzD1fRAcCDGhA95RiwhTREKIo9Ajig0IJgmiJgzmJaJGSrqDJ6wgNkBmL2mF9ci01FzmSE0gTql1yimUdj4/e9/r8RQAZiWi6m/xB1N+R4PAszERP4utGn4YOYVXADkmUdu4bUJP6URvkaB+xDNnDlTie+BOBaYlonYGWpH4KY8qo/OBInrkMAPAf4QkwdBm1RatWqVNK0ViTCRNDNqYDo1LFcwi6sJK0n64XXxDp7L8MJrE36+jfA18j6tsAmItzFmzBjljQMB8RBgDLFEVq1apRsF1k55RF9FFl3EHkHMj6uvvlqJ2AsrgQrEkFXkTUIIIYREl0CHzBBSfMSIEYq4AUjDgGiZRuHjrcrDXwdl5ABoGPueNWtWUnA7QgghhJBQWIgwDi2nZcAQWN++fRVfmxtvvNFxeUSvxAwIOVIn8rcgJQLKwJfHK+AfVFNTIzIdNa0C/o3iGHFY4XXxDp7L8MJrE372N8FrhFRPVjkFAxVECDmPk4tQ/zIdOnRIyJvipLyaI0Uug7Df+I58VCoIHY8kdwgxjxOD/FsIY67mpdGC8PP4yGIIU07lZZmOmiOGhAteF+/guQwvvDbhp0cTukZIAv7NN98kiCIswyctgqiioiJeCRl8V39zWt7uNhFUDI7ZRx99tDKlFAET8a9eLhcwefJk3ZxFcDLTy6JOCCGEkPABwwqcxLXGlbvuukvcfffd6RFESHoItFYWfFd/c1re7jblZKgQRfAzuvnmm5Uke3rJFydMmKDMQtOeUIghCiJCCCEks9AaNLSGlEAFUZs2bZSp8Nu3b09YjuEsZOx1U179F2Xk6YH4rrdNWRTBIRtZjY8//vik3/VMaYQQQgjJTOwYNAKdZTZ06FBlCr0cQ2jJkiXKEJab8r169RLt2rVLKIMp+eXl5fEycMyWp+CDzZs3K75GUYuxQAghhJAQCKLx48crOXLWrFmjfEfi05ycHCXWEBg0aJCYOHGi7fL4G2UQrBGRocHUqVPFyJEjlQirqpkMvkKqT9Hu3bvFgw8+qEQCRjh6QgghhJBAp90PGDBAiSE0atQoxXcHs7zmzJkTD7II0SL7A1mVB+PGjRNlZWVi4MCBSqRqNYCjytlnn61YlYYMGaJ4mKMsYhv97ne/C/LQCSGEEBJiAk/dkYnAqRr+TPv27aNTNSGEENIE+28mdyWEEEJI5KEgIoQQQkjkoSAihBBCSOShICKEEEJI5KEgIoQQQkjkoSAihBBCSOShICKEEEJI5KEgIoQQQkjkoSAihBAfqaipE13Gz1Y++JsQEk4oiAghhBASeSiICCEkIJgpiZDwQkFECCEB8dk3e9NdBUKIARREhBASEPur6UNESFihICKEEEJI5KEgIoQQHynOz43/XZiXk9a6EEKMoSAihBAHcBo9IU0TCiJCCPGRhobGmWVZaa0JIcQMCiJCCHHAnvIaXbFjRL001T4ri5KIkLBCQUQIIQ74bn91/O8GG3GF6m2IJkJI+qEgIoQQB+yrbLQQldvwISqrro3/XV1b71u9CCGpQUFECCEOyJaGvWAgsnKwli1EHDEjJLxQEBFCiANq6hrif8eE9XBYmRSMkRYiQsILBREhhDhAdpLeuKvCsjzzlxGSGVAQEUKIAyolK8+Elz63LC8PmTXalgghYYOCiBBCHJCf09hs7q5odLA2ojCvMVJ1nrQuISRc8OkkhBAH1Etmnpxsay9pO1PzCSHph4KIEEIcIPsE5WQ5FETURoSEFgoiQghxgCxwsm1YiApyGxO65ueyySUkrPDpJIQQB+RKfkB5OdaCKMFARAsRIaGFgogQQhwgZ+LIspGuVY5UXVXHOESEhBUKIkIIcYCc0NWOwzQtRIRkBhREhBDiADmu0NZ9VZblZdFkJ7J12EBKEqv0JIQ0BSiICCHEZaRqmeL8xnhDMgnJ7jNPDxESGSiICCHE5ZCZ02n6ma6HNu4qT3cVCPENCiJCCHFAnUNBlJcjTbvP8EjVd7xsnaqEkEwls59OQggJmMpaZ340iT5EmY2dVCWEZCoURISQyOPEcbi+3umQmf7fmQDORY8756S7GoQEAgURIYQY+PzoCSY5233bZvnWAkuyKGXiLDMZ66hLhGQuFESEECKxYM0u09+r6xqzu8YcOmGHzULkdEp9to3cbYRkKhREhBAisWLzPlOhMHPJ5sYvNgTO3srGSNUh00OEEAkKIkIIkdAzgsiiaPv+akcC5+mPNopMYE85HaZJtKEgIoREHjmoYmFejpj52eYEMdTv3nmut11bLw2xhW3MTOLuWSsty4S39oSkDgURIYRo/GQmzrQXb8eOwAmxBkqwfC3btM929G1CmiIURIQQIpHtwG84ZmOqujwEF2ZxlJfhQSMJSRU+AYSQyCNbSuocxBmyk+1eTgYb5mn3BbnsDki04RNACCESOQ5MRLIeUkWV7DN04Ht4p93LQ2J2jtuOACQkU6EgIoREnrJqeWp8Yqf/nTSrTIuePti8p1JTJryCSCbEVSMkECiICCGRp6KmMfp0cX5jMlbwu1eMZ1/pDYFprSifbymVyoeXMM+AIyQIKIgIIZGnolpKrxFzEJ9HR0NILkOhFx2cRUZIIxREhJDIU5DXaBXKzUn0pamqa7QeadGTNwW5OY7Kh4WQaTVCAoeCiBASecwy0tvNbq9aW0xzgoVYdNBhmkQdCiJCSORBdGqV3OzUmkWzqfXVJtamdLNhV4WtBK+ENFUCF0QzZ84U/fv3F2eccYYYPHiwWLlyZUrlMSY/adIk0adPHzFgwAAxevRosW9fcsRVUF5eLrp06SLOOussT4+JEJLZ7C5vnElWWtU440why54ztl7cIS2ZboNhtnvSlAlUEC1atEiMGTNGPPfcc2L+/Pli7NixYvjw4WL//v2uy0+bNk289NJLYsGCBUr5/Px8ccUVV+hu78477zQUS4SQ6CKPFuVq4vFkORQBZoEdw+ZUTQhJkyCaMmWKGDFihOjWrZvyHdacuro6MWPGDFfl6+vrlTLXX3+9KCoqUpbdfvvtYtasWWLFihUJ2/rss8/EJ598Ii688EKfj5IQkmnETHxp6Fdgz/pFSKYT6LM+b9480a9fv8adZ2eLvn37irlz57oqv3z5crFjx46EMt27dxclJSUJ22xoaBA33HCDeOSRRxy/7RFCIoCHwROrap3NSiOEhIPAglDs2rVLlJaWivbt2ycs79Chg2K5cVN+3bp1yr9yGQgefF+/fn182cMPP6z4IPXs2dNWXaurq5WPCupBCGm6xExEi10RA4dkzDQzm3ZfbSKWCCH+oe3HCwoKlE9aLEQVFRXxSmgrpf7mtLydMt9++634xz/+Ie666y7bdZ08ebJo2bJl/NO5c2fb6xJCMo9WxY1tSLOCPFfbQIb7LuNnm8YtyjMRS5kAfaBIpoJ+XO7X0c+nzUJUXFys/CtbXtTv6m9Oy9spc9NNNykHrrcPIyZMmCBuvfXWBGVJUURI0yUh31iKA1umoiHEgqJtswJGriZNlk2bNokWLVrEv2sNKSCwu79NmzaKKtu+fXvC8m3btomuXbu6Kq/+izKdOnWKl8F3/IbZaEuXLhX333+/8gFffvmlqKqqUqbeDxo0SNx7771J+9YzpRFCIjJkFktNw4x9crGt/WSi9YcumCRTgRiSBZEegb4ODB06VCxevDjhAVyyZImYOHGiq/K9evUS7dq1U8rA2RqsWrVKiTc0bNgw0bx587ifkcqVV14pNmzYIN59912fjpIQktGRqn0UASE2EIVarHkN/L0wxAm+mDScljES/Cyz8ePHi9mzZ4s1a9Yo35999lmRk5OjxBoCsNjI4siqPP5GmenTp4vKykpl2dSpU8XIkSPFiSeeGOShEUIyGuPcHV4GI0x1OC7dqTu+2V3JaNakyRKoLEYkacQQGjVqlBI3CNPo58yZo1hyAByhZX8gq/Jg3LhxoqysTAwcOFDk5uYqMYueeuqppH1j6OyWW25JGDKDmDrvvPMCOnpCSCZaiLwkL8W0IH5ZSUADYwyRiBO4nfCiiy5SPnpgOMxJeXWaPSJQ42PGSSedxGEyQohjHyK/9hM2n6HSqrp46ACVpmoN2rCrPN1VICEkPK8rhBASimz3sUj4EL20ZLOr9ZqCSHrj823prgIJIRREhJDIY+bb8+2eSg/3Ex7++UFj8Nqooc1XRwigICKERJ6gfIjCEtgQVp6Nu5ID4tqhrCrzLUSyu1RTsHgRb6AgIoREHlmn1NQ1pLMqoeeeWV+ITIcWIqIHBREhJPLIQ2Z+WnFCYiBKiXdW78h4q0pxfmMKFcYgIioURISQyCMLlSlvrBZNHbuCBmKhKC+z86/pkZvDro8kw7uCEEICIsyBGQHiEmnFUlNM1+FlsE3SdKAgIoREnqCGssIyZFZdVx9p8dAED4l4AAURISTyBGW5CYkeEnM+T0yarbUSdRk/O24pov8xiQoURISQyBM1C9G+ylrLMnHncgoiEhEoiAghkSconRJ2HyKZeV9+d+APnSpzZhZpilAQEUIiT1ABE8NiIZKnnRsxZ6XxsFqmky/NMqO4IyoURISQyBMSnRIY+bls+sMWPZykHz4VhJDIE5wPUeZ0vqrrUFYTn5KVQZeE+AwFESGEBDXLLHYgKCJmcckzucJIVNJbUA8RFQoiQkjkCcxCJMJBs4I8yzKqZSiTrFpuaOrHR+xDQUQIiTyBzTLT7GjV1lIRVqJhHwqPSCXph4KIEBJ5gjIS1NQnRoj+4f99lJahMyeHSx8iEhUoiAghkSdq0+69Notkil9UpseGIv5CQUQIiTzBBWbMHOoPqrem7mPTxA8vUuI2VSiICCGRJ8hO0ctAgGHpvOrqG9K2b0K8giE6CSGRJ7Bhk4CUF8QRkrSqfDFpeIIQ8/p4//XJpoR9Z1L056hbiOR75YtJw9Oyz7DcL7QQEUIig6FFJcBp99i3Vyxav1uEITDjhl0VIlOBOAyLpS2TqWgC55CCiBASedI17T5VfvXiclvllm3a63ofdnyI5A6w373zlE5xZ1mVyASibiEyIxaxk0NBRAiJDLvLq+N/b9lbGf+7sjZxOrxf/P39dZ5uL0ey3mAIwujtfPm3+4Sf1NZnbseprfnmPY33RdRZ8o17IW1GTV04fc4oiAghkaFO6rh3llWHxkzgdojBbYggO4ebK2WEb8ppPmAF2SXdC9c+s1hEiYXrdhn+tq+y1pd9Tnn9SxFGKIgIIZGhrqFRCdRKM6NiIR+aMPLPyM2xJ0SciBstdnyI0n3+UkFb97U7ykWUeHrhRs+3WS89Z3q8IDnhhwkKIkJIZCjIbWzyivKkWVdp7tE/XOvOOTrbQKx4MWvHic0nJ6MtRCLSZJlc6ZiDcyML9VnLtohMhIKIEBIZ8nNz4n8XSH+nO1rxtn1VrmaWyT5EZtTWJfpIVWu+66Fuusk71saiPdPLj8wseypqRCZCQUQIieSQ2ciHP4h3HLJQSgdORMeCNTvjf2fbtMxoh73s7g3nprTKRseqs8GwxJaxoiEWE0X56b3+6STL5LrlSxZVJ+SlMESbTjKz1oQQ4oJ6ndlQG3aWiaue+ESkEyc+Pqqog1hZ812ZLSHi1sqTinUozIJIFojaIzy6XUng9QkrMZeXP1Od7CmICCGRoawmedbMBQ8tEJnU8QSVJgO+JU9/tLHJjzppRZ+RX1ZTJTc723MRm+NAEIVJOFMQEUIig9Xsl3Rh5cMk+4NUHYyZtDcAP41H568XTZ2YplPOUOOGwsZdzmfImeu/mO3tFOU1DjsWSn9nEhREhJDIEFZB5KRa6pDZMgfBFqe8sTpBVNmxSNU1NIjd5TWuh9bCnL6hRnIq1+ZesxNmIKys3FLqeB2zw405uC/lsmarhfm+oCAihEQGOfZQ2Bx7zdiwszxJPDWkIO7sOMtmsC6wRD5z2lOP75malyvL42n3WszOS8I9nKHnMDyDd4QQ4jNhTRlg9SYuz/RSrTFhMXahs3tlaWbFnTE73+kOwZBShngHKlbenuciU4TzHFpBCxEhJDKEVxCZdyCFUlgAdap9pkxtDqOlQO6wtec+k8Muee3/FHNwXcurG69tdW04nzMrMuOJIoQQD6gJ7ZCZ+e8FedlJs6CshtnMsLOqnaEUZLT30soQGCb+LtrvqQxNBo0TPeS1OC2UHKnzXMYvSjeZWWtCCGlCWdmdiBu1g05FEAXJsk3+ZEz3z4coccGKzfad1/1kf1Wts/hKHtwfMc0m9OJe6ZXVrpcpopKCiBASGcLaMFv1XfLv6iwzp4ci+5zYWRWJY1sX55mWWb1tv+X+fhHC7PGyWND6uyRZiEIiPGcs2ODIQmR1f6zbUebYavT4B8ZhGBo051Q+x2ulSQFhhoKIENJk0fo5hKNrS+bBeV+bdkYxndAB/ucYy7IMUvibl1ZYbqWyxjpvWtDk5cgxcxKdk9ftKE+4Fk5mYflJuY3zKFuIrEJM/GXuGsdisU7a5pY9lZr6JfoQybvPlHx4FESEkEhQWlkr8jPEEdkMtaOrPBig0RV2OygLLZBSHULqVO1H+AH4WqnCHH/7hVxXxJFyQ8xk6EvmuUWbDIUv4jzJFqOwWNms4LR7QkgkOHXy2yJTkfsTOxYiPWuTusyuEzQ61xwDNaANZmi+HWwjFqo0DdXSbEM9C5YcdbnIxzrbmkrv0spiVdwovUbM5va1IifRspS4/4unfxQ/xjCT+a9LhBDSxNlbUZ1klfHbHSrLwjqCznxXmf/pQ3zBZFgIhNHVTE4AbCSc1LQu2iEsJwKrrLpWN6K32ToHfpO/JG5HRlv3sIRiABREhBCSQQSZfsTIh0iOOWNFODxw7M8yA+VSZ16tEQVuWLh2V8rbkOtpFNcpQbC4vE1iJpvIkRLB/vvTb+N/w8pVobG0FUixszIFCiJCSJPE60i8fmM6XKIjiIIQGkb7ePmzzSKTsdINsub04jw/9La+A7PXJDgyWygiWdx4s+9Ywt96QvOAcAqPRUgLBREhhPhAswJ/fE+CSosA45BRotOYAytVGHOiWTlVy527F/U3SpK79Ju9Ph6XeVk9F6IKzMSUhxNj7gIz5uRkifoMcaSWCYeHGyGEBOScGhReCoFqyTekziK4pJHDM5Y5eTvHfoyOIfO6OvsWok6tixI6dy+m3RsJy22l9mec6Qk37bXOTwgn4HzIqt+98xL36eBKJ1qIMmeqvQwtRISQjEfu6MNikvfSMCJnp1f7VjeCy6lQNPIhcpJHLSxxfGQSumqdbPcJfbkH1TfaRK6D5GN25IWTe8JIpJlhJpBqpbQ4CIAaRsd0KyiICCEZz9a9leFL4OqhDsiXHFR7HNZCBDdkpv8bznEm+WdpyZP8Zwp0LCkJQ2Ye7E8Wlm2bFerGCvJayHthoInpiEUj9lQ0OqJDDNmNPRQmS1L67cqEEJIiMY2/xuGtitM+bOalZUTuM4JKnFlnkgjXSRcWTh8i81xmCU7VPtbfKBaQHnq6QRUTehMIYj4IkVyT+v7i6SUJx2V3JiJytJUUmKeIabIWopkzZ4r+/fuLM844QwwePFisXLkypfK4qJMmTRJ9+vQRAwYMEKNHjxb79jUm49u1a5e47bbbxOmnny6GDBkievXqJa644gqxY8cO346REBJcOg6Qieb5VId4jKY1e2lpCKGW8YREMZCcy6xQOrdFmtQebjASVbIQsJqmrjdcZRaCwY0PkRa31lYIIrsWov1V4RjiDlwQLVq0SIwZM0Y899xzYv78+WLs2LFi+PDhYv/+/a7LT5s2Tbz00ktiwYIFSvn8/HxF8Kh8/fXXYu7cueLNN98U77zzjvjkk0/E2rVrxXXXXRfIMRNC/E/Q2rIoP/739/66IBR+RF5aFgokq1D2wbd0p9vXi1tjSpZxLjMn1oWwiyq9Q/F6lpkdHyLZB8cuZlfBi5GoPJfWyCQ/LBPk/GiREkRTpkwRI0aMEN26dVO+w5pTV1cnZsyY4ap8fX29Uub6668XRUVFyrLbb79dzJo1S6xYcSDpYPfu3cW//vUv0axZM+V7QUGBOO2008SaNcHEhSCEeMubX2xP+I5OfsgD7yYs27G/yhNRNKBLa9fr+iUE0NHg2Mb9a5nu72ZDhU78fvLQWUdwlhl+k6eMeyEsjByYZcFpNXtQrx6wZBnF27KaIWbrsGIu1jloubIbmNGJg77fBFqTefPmiX79+jXuPDtb9O3bV7HguCm/fPlyZehLLgMBVFJSEi/TsmVLcfzxx8d/X716tTIM98tf/tKXYySE+MvOssY0FkAvRcAj76z1ZF9yR3b7ucc6WtcqU7wT0uJ3amIhcqKI3Mxm8huzeD3aoIJ+nnvZQuQmbo/pGj7Uu86mNQfn0Oh4tILdbRLajBZE8OUpLS0V7du3T1jeoUMHsX79elfl161bp/wrl8HDh+/abS5evFj07NlT8TWCT9HPfvYzw7pWV1cr+5Y/hJBw8i9N1m0wd1WiFckLnHbsXuoAuWsJKnN4fUODoZUrKMfuYCxE5oEZ/QyEKQeLtkrJEnPoJ+RFrWN6MQlscGDavb2yVpYxr9D26ejntQR2V1dUVMSHrGTwXf3NaXkn24RlCcNon376qXjggQfEfffdZ1jXyZMnK5Yl9dO5c2eHR0sI8Yt8TZLL1dvLksrsLq/1ZMhMtpA4mRF0AC8tRM6GcLw49tzsbOOM6E4sRCLDZplpU2B4MmRmXUYriLSTB/RnmRlvz6redo4r5vLYFeuQwbo7y6rSMu0e/bjcr6OfT5sgKi4uVv7VqjJ8V39zWt7pNtUhtTvuuEOZmbZnzx7dMhMmTFBmqqmfTZuS30AJIelBa6kx6vy9nnaf46OFqHPrAz6QRiTOiYqZCh4ct1edjGHqDhv2hzA4ththNiSG73qO+14hnxd531YWIr2hJTMrTFApXvRQIlULewRVS/Tjcr+Ofl5LYIE62rRpo6iy7dsTTdnbtm0TXbt2dVVe/RdlOnXqFC+D7+pvcMKG7xE+KvApqqmpURyrMaVfCyxMWqsTISSceDG9WI8zurVN6LCcDoE5KX5sh+bmaUg0HbiV2HvYAx8qHK+RUazCRoyZuCgLoYkowYco2a3adx8iPUdoS+diPQuR34EZhf392R0yq6ypT9xmQIqoRYsWyseMQAeChw4dqvjyyA/MkiVLxLBhw1yVR0yhdu3aJZRZtWqVKC8vj5e59957xcsvv5yw3a1btyr/Hn744R4fISEkaIwcf1O1UMA6IjfqVm/wXh3Dpt3JLgRyp22nGv/3rldO5frL7ZyJEAUgdm4h8tiHyI4m1AoIBCxUgXj6z+Jvk9aJmfgjWwZmtFGnKimH3oE62ljJJNu9riAS4SFQQTR+/Hgxe/bs+JT3Z599VuTk5CixhsCgQYPExIkTbZfH3ygzffp0UVl5IHT/1KlTxciRI8WJJ54Y3w5+h0gCe/fuFffff78499xzRceOHQM8ekKIH8h5vuTZO6kOmWVpYsM4tRA5GbaSi970wlKr0iIIcLjGcYicbScThtESfYi8nXZvRxFpZ3Ct+LYxwLARZmLNi2HTfI3VSt7m4a0aU5BowWNjd/9FPll43RBobHtEkkYMoVGjRilxgzCMNWfOHNG8+QFzMRyhZX8gq/Jg3LhxoqysTAwcOFDk5uYqMYueeuqp+O+XXXaZ2LhxoxLpGrGIENQRZeFDRAjJfPTaXXQuqVuIhPhkwx7X0+idGZQaC6/bkegkjuO4esanjSUDeqXOzclOabSrvKZOnHj3myKMWDmpJzhV+7B/2foT36fmhsH5T+Ue82XILNb4d5uSfLFlb5VBvezb1fwa8nZD4Ml+LrroIuWjB4bDnJRXzdp33nmn8tGjR48e4oknnkihxoSQMGP0Jqo1zaeK00lmu8prXO3HqiMJato9cpktM7BS2NGG6XTqdYK2nrifEgWT98exYVfysGiZxi+rtt76/kXd3FhCIbLf/8o6fVWD5tjlc7Vic6mrIbMwD61mdjAJQkikQEN+16uJ+QyL8vXfMFPtyLR9vl5WdK9IcN6WlqOzW/7t3qSyZp2g3zPMtHU0woscYOnwITqQqV363YdEv3rXSOujliMHKTKxwhlZQr24DRpi7hIWP/XRRtsW2hDpIQoiQkjmoJdsUs7zJbN6m36ORCeCQNYEbnJN2WXel98ZdiBaKw0cXRGbxogg/HTCkp3cLXIn/P1HEnPf7atMjGHldRwiOEhrnZWBNrJzswJrQWmUtsPKQmf7HonFEtbRps0xXdVmucra8PiVhVfCE0KIhndWf6cbQFCPnz+dPATvhKyDYquq9oAQchObpvthLcSqrfYi3etZDfSEj+XsoZC8cuvVQzekQBqwOkeJ4iQWSAyrek3EZjuBQFMJzGiHhhS2UWUwZF2Yp3leQ3K/AlqICCEZg56Vxi+fGvRhh5Tkx7+3Km782w+eWLDBVrnXlh8IG2KEV2cjy4e0JOkSQI4Tn/o8y0wv8al2lpk9QWQWmDF1GlI4eKO6VXDaPSGEpI5eR2JnNo474DGRlZIIcLLKo/MP5GZMlSBSIdTqDF06nT3kZ1wnK6xOkd+zzD5at0tnn1rnbuvtbCtNzsflJX/435euh2CNql+gtRCFiPDWjBBCbFiI/BIAEECyCCrUEWN2tmEXVSCEZcgLkZNP7XqI7m+1HmQo1xv+DIoaC3+wH/19obc+RJrvj3+wwdBCpOYwu2j6h5bbffR9YxEdVI4wIwz1blIgzJDc8BREhJAwoU1oqUVPX/hlaMiyKW5eu3GQ2DBlRMr7UzVGqodT5NGwFI7Xz75qX0VyLJ7AcHBgVR44/Wpn7OkNRbmxxJhZ2dIvM2K6S7WzNdNfz0YoiAghocEy/ouOKvGr09ZaiMymoZttwy6VtfWezBDz6nw8Nn+9YWeV5UE9atM5ZKb5bnbeUz2f2Paa7xKDbeqRZ2OavRPSbXjJN7Cobt+nzXYvQgMFESEkNJRWNXZMO/ZX2+qI/QoAqI25ojflPx18r9dhge1L9esdO+goTwIzyk7VdmZe+YWTTjhmw3LpeP8GMYWc3mdIUeNsL8E5tzcYnOQNOrn6wgIFESEkNMgNvOrnIXdGen2orxYiG07VZv263UB2TrCcdu+hQFRDDWj73do6633oxceRxURlAPGSjISMtvZBBLq02mbdwTHTpz6yN9vQKg9Y2i0vMXvDfOmupkw45kASQoimEUeAPG0cnoXrdid8L6+u9dWpOuF7gKLHDKvj9fJ0VB20ViT5qnhwyNpp5kHi5J7RC6KY+v6Tl1VUH9iPUboUx/sQ6eOCnh0Mh8y0597NZAW/oCAihIQG2cxerdMRvb4iMQYP+lQ/G/5EHyIRCqz6ci8jVatiQJvY1otTkVZB5MSHSAjx4ZqdngaZ1LuG+w/mMnNybs3O4LnT3o//7UUQzOL8XHHKUYeIj9fvtlc3gxu1VhOAMkw57zhkRggJDXLTqNdflmuCukFA+RWYEVaRLBuWINMhMx9ElDq0EmSYA+1x5BukS3EyjBbEkM7KLfrWFqPo5nqgnj97arEt8WTX10jvnlVjO4VFeOtOdBD2wCpGFiKPfcc9JcRVI4REDbnx1esYkvwPYn76EGXZCjRo7kMU/JCYlznX1Ld5bdTksHXaRjz90Te2M9wbYceC4XTYNmayzM1sRjtC1K1DeKGcpNfmYWZnZxlHqj44NBjfZHgMRBwyI4SEB7nxbVVUYFkeja5f7ekbn28TR7Ypjn8366cMOxofOjerkSar1B5OqFatFprl+Tnh8fsww/Du0CxesCY5crRR2cqa5OS6OOc/6n9ESvGDVKsVAmLaBcLDb2KKYjmwHydPm2HIBk2VwySIaCEihIQGeShBr/HVtv+KD1FALarRm7uZU7XThLB23uCtOqX9UuiCVKmuO/g2rzn2ya9/mfK2H5z3taf+TnoY3Rraxd+YTAWP2cgrporQZZv26vreHN+huXVdD9ZK669lRr5vaWsakW9h27ezieU2zD5EtBARQkKD3Ihe+PACfVEiFYKACuoN03CWmccv6VaH886XO0RQqDFxnFgtwoQsZGSnYq2INruGcO6XLTpF+cnWMfyutRrZ3b42MKOfNh/ZEdwu5dW1Ij/3gLXWrr8eRI5R2SB94JySmXc5IaRJYvW2qH1R99OHCGzcVWEdh8h0C84q50XAPPNgfe6GzPzi7S/9zWdmdG9Y5TKTybPhQP7hWpMhN5uhGRp9iIRvYLjPKTH5b5u3s/Jc2jwXHDIjhBAdrBpH7ewgszdRrzHr1IyETNnBqdRB4uXp8PvU/vGN1IfezDCsvsNI1aliR6Oq5zqo+9nVMHbMft2MjiON0RYsoSAihIQGq/a2XlMAjet/Fn/rS11G9k5MkeEmUnWFwzdyv31qzHjputMMf/PLaKH1J/Eao0455uS+86CKVj5Ibn2IgtBOsVjjvWk3aKSyTsyeX12Y9B8FESEkNFi9HWvfUMt9tMBoLULG3ZTxL/f94ERH+yyvrk+5g3C7utl0b7+Gceo8DBGgi5FTtYOTrI25ZHdYM6GcjROoVslZYEZnV7vMhcN9zMUNhXoZ1S1sFjAZW1d20qRJjjbaqlUrcdNNN7mtEyEkolg1lVpz+7A/N0bj9ZrcnCxxVNsSsX5nuev4MKcf09ZR+UffXyc8mxnmkBqX66XCzrIaxfLgV7JRo0455mC2ljZ1h926Oj2ueJ189CFy8wLR4FLAGPlOV2nus4ybZTZt2jRx0kkn2d7o9u3bKYgIIY6xmqauF78lFTq2KhKb91basxC5GDJDh7hhygjx2Td7xEXTPxRB4CRbuowfAQHTjfHUb/vnyIs7zs6ZrT0oFPzMjZef53xQKOZiP2ZO1Ul+gOHRQ/YEEcTQO++8Y3ujQ4YMSaVOhBBim/NP7CBe/3ybq3Xv/cEJ4qoZn9oqa5zc1Tux4cUMMbdv9E1PDpnEIdIsNztjXgShtHP53Wh9x5fa1T5iztcxWS/M2e5tycURI0Y42qjT8oQQ4rYzTyVVxSHNCuxnuzcKzOihZcULA9g/P9jgaj0nzrx+YTcXmNdDZm624QQ7Z1bdixfRoL18vhpcHr7RelqhVFWbvokErgTR7bffHv973rx5jsoTQohdgjafF+XlKENadjqxVPSCdlUjQ1A6/SnMjs9352efqJN6ZVlgaS1xZslevbgn7YjmICKutyrOd7xOoUEOPzMOHIqBhUhrnQuRicjxgOI111wj3nvvPX9qQwiJNG7eYOVOzylm3VSShcjFNpxaY9LZORTJSTwD8i/CdHQjx2Mv/MXsDpmZ3UNap2rf4hAd/Dcny7/J325OabmrmZyID2ZQhxAHInJ85ouKisTMmTPFgAEDlNlnGzdu9KdmhJDI4daB0y3mmeoTM3a7cao2KmO0Tjr7CrPjSGVY0q0ANotibXdoTU4TgRQUKtq9Vppsw5shM/uKyE8roXwOfPUhihk/l9pr7vVEiUAF0V//+lfxl7/8RXz44YeiZ8+eymyy888/Xzz//POiqqrKn1oSQiKBG3HjV2cNgSC31W5nbzkhnUNT6RBE2usti5ut+yo93f67q41zwJlZiLxwqranh9xYR51dFzfiI3bwX6c+XUbHow2u+sCbX4mMFUTqDLLc3Fxx0UUXienTp4tu3bqJn/zkJ+Kwww4T1157rVi8eLEfdSWENHHcvI2mFujNPBihnU7Kztu/3fxN6QxaZ3Yc7VsUiqAxE2Fy57xo/a4Ei5GR5Wjuqu8MI0dPf3et4b60V8QsiauMPBRoy6k6gEufn5vjesis2GFMJWOn6sTvSzftFRkriMaOHStqa2vFiy++KC644ALRpUsXMXv2bHHPPfeIpUuXijFjxihWpFtvvdWfGhNCmiyxgBJW2iP1OEROj9MvS4wdzI6jbTPnzrh2kcVMAjF7J/baZ5bYKjdn5fb4fhydZw+Uip17JFcNDulsCpwjtNYZPy2dMYN9hWE2oxGOw4O+8sor4tVXXxWVlZXikksuEXPnzhWDBw+O/37kkUeK0047TfTt29fruhJCmjhuLCR28ys59iHK8i7zu90+IJ3eFGZVLHBhWXCD3InazUhfVdsgvitNdtcwHeJ0cKK9Ccxof5ZZrcNhMCe4cWhu8FhEhTl1h2MLUX5+vvjjH/8otm3bJmbMmJEghlQmT54svvvO2CGOEEL0CLqtNJtBpHRhUn0Cea/14fjHDjoqZdFWaBKeIFXkoa1XPtviahv3/W9V0rKH5n0tcoxm8zmJ9ePJtHt7+8G5mLVsq28zLN34LzccXGftjjLb62CVSoNnK0xO1CkLovvvv19cffXVolmzZoZlJkyYIDZt2pRq3QghGUIqAfW8Dsbn5bR7ebq5p0NmBr2snazoTrG/ySzTPGdBXJunF35jq5zsz4KYQjv31ySVefmzzYbn04nI0SZ39QtUaVdZtbN1HKq1SjdBEGMH9vHvT+336abZ7sOrh+wJIgyNqYwePdrP+hBCMpA5K92lztBaaQK3pltMu7dT1E2cGqNO4ZWl7iwkZnjhs+EmOJ87pDAHNtfIy8l2bFhz5Kbj8p6UBaQdq4ib/TgVF64sRMI6Aa7+vmIZF4fIlg/RggULFKuQFTk5OaJ9+/bKMNo555zjRf0IIRnA4y7TRYCNuyrif5f7ZIUYfeoR4hkd64OVWJCHVlIJTphWP9IsL/ypgjkAeT9xJ2ML8nKcW4GciI+gooe78a1xPPyUwizOPEeCyPisBeXY7ZsgQnyh9evX29ogZpohThHSd9x9992p1o8QkgGkMjtqb0WN7zPGbj77GF1BVGwanTnxe1F+TsbNmnGSPd10+FD4hzz85eZcurEQORma9KL/tju0tXO/syEzp6fLzbT7woPr5BoITz1wuNUGltMwO1X7ku1+165d4txzz6UgIiQiyG2ck3glyro23vadMuT4duKdLw8E4vvfTWeIds2LFKdg7dRu80jVdlNbeBOryC/s9v1mVqCgNJ+bOFR5udmiXkeQm23LkYUoxf4bQ2eLNuyxsZ+YWLHF2YxJp3Wr0yYSs0HDwVVKfIpDFCZs2cDuvfdeRxtt06aNMhuNENL0gYVn9fb98e9OnW/lRtqrxlL2d3AytT6hXpoW3aiskeUoLNidiWSmeQpNLGmpYiSg7fsQZbnwIXIwy0wEQ8zFEJhTa0uZi9QdFz68wKVDvYEPUYgVkS1BNHDgQNsb3LJlizjzzDNFSUlJKvUihGQI097yLvS+Mz8FY+ShF7e+Mdo4NkZWnpZF1i9/6RxVs7trK+EI4fLajYOE19iN/GzEpt2VYuWW0qTlZt3uy0s2295+EFnoD+zHuSXR6VB1KomQnT5/Rqct46fdO3GQPvTQQxXr0EsvvZRKvQghGcKzH9ubKm1EgTSDCcMfXiB37madjNlw0lurtic06iF3FUp9yMwsjUkmnoOYN9YIbKFT6yLhN08v3CjunvWFo3WcaougIqHHlGz3+pULsYHIng9ReXm5ElfIrlKuqakRLVu2TLVuhJCI4VWQXvkttKrOLPiicQ+vbe5S0QJptRDZ3LmdocV0+kKlDZcduFNfOjc4vRpuLUQ97pzjeJ08AwfuMFuIbF2xhQsXKjnL7ADRZLcsIaTpkUpH4JV/QUJARZfWE+1vWmHx1rgzRbf2zUXY8UaMHdhIts8xCjdIIRimvvWV8vli0vCke8rOPRbz0NoRVquGU4FjFLnbK7KQEDmmfjLPh8hWy2V3yn18o7n+K2NCSNPDqxglcrNv2gdY9A9mQ2Z2+hY4o6LzTqdlJT8nJ5IWInTIXvjMKL49IT1sPd8pM/yK8yX7DuEZVkVR2BIYW2FLuSBhKyGE+I1XDqyJPkTGOIl7E9I+MZhp9w63FQbKa+o9iYocXnuGc9xMu3cC7o961apmOMtMhJZgkrQQQposXr49e/XyKFepyGR4xTyXmSZ1R9KBOhBTaRQS2R6omOqDflhhtZT4SaoaHRbCk49oJcKA37PMsuRI4wbjq2H2IaIgIoSEBs8aS9s+RGZO1Zo4RMa7cMxNZx8jwoYdcRhUCo8wiUEvUneExW2mzufhquyDp7tJD5kRQohfyF3Wtc8s9nybXkVgdlIWUbGN6gPmrfpOBIXdetuJ2p0OOYQZTnqO1UGRipiBD5mbGVp+Ueu3hUhkSZGqjabdJy7//kmHi7BACxEhJKUGv9ZnvwQ/fYhMY+8oweXk7OuaITTpb6eRfL9zmLMqFez6SVUZ5J4C6ibCnrfND2pMwjZkGn77EGVlOZ84EaZ7ylNBdMUVV3i5OUIIcUWe5L9gavlw0AImzzJz70OUG6B3sv3AjGa/ZYWu87KDF9WNhWjIK1XMRK8XxO8PkyEz7fKgIoHbwZUN8plnnhGvv/662LZtW8LBINM9IYSkHZuRqp3MyLfbud59YY/AUpTYwa4Fz0zgFR6MJp4uPVReXetqyMxJVnsjUumvv5Jy/IWBtTvKfN1+VpZ1pGqtn2B45JALC9Ef/vAH8cADDyhT8detWycGDx4sTjvtNLF3714xbNgwf2pJCGkyYHgJ+avwcZc00hpZBJl14o6m3WtnnRmUu6xfZ90aJe5XBIYXu4rHIUqTIHIzLJufmy1ynJgAfXCqvvXfy0SYeOsLf33XsqT7w+isxQIOFukEx3fLf//7X/HRRx8pwggRqe+66y5x3333iQULFtgyIc+cOVP0799fnHHGGYqYWrlyZUrlYaGaNGmS6NOnjxgwYIAYPXq02LdvX/z3b7/9Vtx6663x9VHu73//u9PDJoTogLd2ObO8UyfT/VW1vrwhvrTkW1vlHDlVm6yL8wBHanzsWDK8sFx4H4fI5DeR3llmp095x7F49mooJpXN7K/yNxBi2CitrLOcZZY0ZCZE5gqiZs2aiaKiA4nu6uoaLzaWbd++3XTdRYsWiTFjxojnnntOzJ8/X4wdO1YMHz5c7N+/33X5adOmKYlkIchQHollZV+mGTNmiGXLlom33npLvPfee+Kpp54SN998s7KcEBIsX2uGEDAF128fglQsRHLNUtEC2nWPalvifmN+5TIz3caBf6t99kExwy9roi0fIhfdNuq7I0Dn+TARczDLbOZnm9N2bVMWREj0umrVKuXvNm3aKIJk8+bNitBAAlgzpkyZIkaMGCG6deumfIc1B6LKSJxYla+vr1fKXH/99XGRdvvtt4tZs2aJFStWKN8PP/xw8atf/UoUFhYq30888URlaO/55593euiEkBT5anuiD0NNXYPvb4heWTW0vkipOKgGaWixG/fFTniCdI5uqL4n6pCrFZ7dV2EyYWQIMZOXHK/S84RCEP30pz8VV111lSJ+IDR++9vfiiOOOEJcffXVYvz48abrzps3T/Tr169x59nZom/fvmLu3Lmuyi9fvlzs2LEjoUz37t1FSUlJvAzqdd555yVsF+KoutpYueO30tLShA8hxIAs98M3EER+dzjqLvXeQp35EKVeB5Ug+4S6BnuCqNLkLT0Ms8xe/3ybsxU8Ose5OdmurleY4g+lgwaDmEfp0kPaPl1PAzgWRLDGLFy4UHTu3FkMHDhQsRb95z//UcTJz3/+c8P1du3apVSiffv2Ccs7dOigmzzWTnk4dQO5DN5y8N0oIS2U68cffywuu+wyw7pOnjxZtGzZMv7BsRJCUqcwLzcpkrAXkYC1XNK3Y/xvsz68stbEVH8wc7eRRSgVbRBknwDnYq+Su6aTb3dXBBJtWcvvX/tCbN1XJZoC3Q9rHuAwowiVIEI/Lvfr6Oc9caqWgXUIFph77rlHEUpGVFQcuJkLCgoSluO7+pvT8k63CZ544glFMF1zzTWGdZ0wYYLimK1+rIYCCSH20PpfY/aQ3w2k+2n32lxm9rebtK00Kgo5JpM5WZaWvXQmd1Vvkxc+2WQ7b9fcVeZ+rVEjKDESM3GqTteQGfpxuV9HP5+yIHrwwQeTlsF/57bbblNmcxlRXFys/Ks1U+G7+pvT8k63CSvWH//4R2XmWm6u8UwQCKoWLVokfAgh+jhxitYKAzhe+hEszu60eyezvbIMYvO4IYxuFMX5ZseT/lxmarLQj9fvTlsdMh0jR+cg99WQpptf26drDSnAVqQrDF0hzhCoqqpSlJa2EcTGjWaLqQ7YMFNpZ6IhuGPXrl1dlVf/RZlOnTrFy+C7dpsYXoNTNsQQh8AI8S9GDHx1tFPPjXI65efkeD581LNjC8XvQ0XtwvWmw1t18PJwXlIcohSm7EOIYYr+im/3iZEPfyD85JCSfM+cqkvSlE8M5OZkhS5uTabhd+oOO0NmRr5FYcCWhQgzyRBz6KijjlL8b9S/1Q++w7H5e9/7nul2hg4dKhYvbkzeCFG1ZMkSw4COVuV79eol2rVrl1AGPk2YCSdvc8uWLeLiiy8Wjz/+uOjR40AU2UcffdTOoRNCHPLe6h22y+Jt0esXxpzs7ESx4rL/1Pa7WkGVirVEPeYg+vb8XHuWLDtRu9PpVI1zBmH95hccBnOLH9aZI9sUOxozC7EesieIbrnlFsVJee3atUrwQ1hb5M/GjRuVMTk9JyUZzEKbPXu2WLNmjfL92WefFTk5OUqsITBo0CAxceJE2+XxN8pMnz5dVFZWKsumTp0qRo4cqUyvV52zzz333Hhsok8//VT5MA4RIamjN3Prb++tTVpWWlWju/75D84XNz7/mad1uuf7JyRmu/coR3sqW0nWEfZ7hVduGJjCnpEmxF7NiwtsWH9C4ENE3OOH/87GXRWOhI8aPiHI4KR2sWX/VL2yAawsSNvhBogpCJFRo0YpfkeYRj9nzhzRvPkBz3c4Qsv+QFblwbhx40RZWZky4w1+QYhZhJhIKohThOjWiE8k4/YYCCHmaHMVyRFsg6Dboc0Ss927bHdhkY6Z+CKl0pw7sRCl2m/YPX47xdLqVB0TYv3O8vRVoAkQ1JDZsm/3iVO6tjEVZbiX4D04/IT2rvLU+YHjWiDOjxHnnHOOEhHajIsuukj56IHhMCflVbP1nXfeqXz0uP/++5UPIcRbjPyC9N5Cgxhq+dc1p8Yb4QSnaov1jKLkJvsMuT8GrZVKPUPVddYO5ameuwK7Q2Y29rO7PH2Rl2F51LM+ktReVgJ3qm6ISfeb/7NMfRVEtbW1ykwtvWz3+E4IiTZ6TpNBNHqIaeS0o8ebqSyIWhblin2SNcssdUcqOiXIjsmL1B2xEPgQkdQJdMp7zLwO6uMaIj3kfNo9fHaQNwx+PMgbhuSumM8PZ+Uf//jH/tSSEJIxyFZ5Nc3COdPe93QfRXk54k+X9EpYZtRVO+nCbz3nWPvJXR3FIUr8rr5I2hEYqYqQGhtWKCDv5senHGFZhmQefgvxET07JM3QbK7xTYsPFx98fjLaQgQxhA8cml944YW4gzNSZJhFfyaERAO/k7UaYdRZO+nEDylpjE2CN1j5ULyMwXPdWUcf3If1NmvqU4vT5KbWRr5CtBBlNn4LomzpxvnnBxuUf7W3jFqHxqKxzBVEyBMGMQRqahpnjmAZprcTQqLpO6Qit7mllbW+1SPJYmPQWVtZcjBshphAYM7KbYkzh033Z7+u2uCTvTu3Uv7NteGlHFQwRPk8GQmfEE4MIg5A9G4/yda5b7T3r9Y6GiYLkeMhM8wCe+ONN+JpOzDLCxajSZMmxYM3EkKiS1C5pmo0+zHsqx104rKTs9Yp1KtZZvNuOzM+q6bExlT3lEWIXR8ieWaeQZl2zYtSrAxp0hairORlSRaig8+VujxEesi5hejmm28W//znP0XPnj2VTPcInoh0HkiVgThBhJBoI7+F2opt44LECfEWFiIngiKW6KdUVdfgTTwjaVU50rKdWCwp6yEPV6KFKLOpke5nP2jQUTfaWyY+ZHbwZkrXELsejlurSy+9VPmAjh07KoEZv/zySyVa9SGHHOJHHQkhIWJ/lfkwmGxZCbKtM+qsXeohMW3USeLap5cYCyuX4kAWQXY6qFT8dpbeeY74YkuprbLybrRT9RvjJlEREWfPoPb+bfQhOiiIhMhcQdTQ0CC++uorZXisdevW4thjjxV9+vTxp3aEkNBhZSmRzfJ+vv3ZzT7vpBOX69vjsBaeZbvPl3KrtSjMd2QhkoPWIejk19+V2d9vrn2vCCexmwgxu9+Oa99MrN5+8D61cKrOSB8iOFBjyj2Srp5wwglKZGhMtcd3DJ0hPhEhpOmj9d3RIjdw5dX+RajWWjEMZ5m5zPt1QIhIyV1TkAnyMGKOlEqjwIZgkd+wtbGW4AxudNxI6opjiNnMcO9F/jcSbbIP3kRxMaRzK6mPgvqiknEWorq6OjF8+HCxevVqcf311yuJXFu0aKHkL1u0aJGSzgP/wtka6TUIIdF1zJSDv/nV2Om9VRpFfXYyyqPdrvy9srbO9XblcybPLGtRlGe5rnxcdmalaa1ddt/AK6UAlUE5xpOmhd7wrtGQr+pLl3E+RMgMD1EEXyEIIRlkkUdgRiRUfeyxx8QvfvELv+pKCAkBVqkg9lbUKlPzYZ3wI7u208jRTiw7VZL4wDF0bVcidpXX6AoiJ5RVN1rQa+sbRGGevXQaClL19QTRgQQIOqvZUGxGcZZC1EeRDCJH5/409IHL1CEzBGB8+umnk8SQChK/IgnrM88843X9CCEZHP7fr8ZOb7Py7C0ZM11glMdM5Y8/7GUorJyMKskWIrnPUGMgHd2uxFak6VzJFylejwAcnatSEIMkOuTqCXaLGYtqROuMGjLDLDIzunbtKupTjKhKCAk3EBADp7ydcvBGL9AKFKNcZo7QKLgOLQsbt59kkbK/PznekN56ZsJR9jPyU/rIx3dkm+KE38LTZZGmYiHKDmFgRluCqLCwsVHwohwhJDOxM95fkp+TMDPKD/Sa2GYFean7EJlEsbayJpnRpY2xBcjK6tYgufPkSg7ZdrH7Bi4LNW0n5sR3iUSXHAf3STwwY6YJoq1btypDZlaNIbPdE9K0gX9QGIjpCB3DITMHdpU8aUhKK+rw/cPxQ8XpBy1kQUmEImkmmNfCxEgsaZceeVDQpSIKSebRsihP7HOQfkdvkoDxkJk6yyyWWYIIs8vUJK5mMGgXIU0bO494LIiZIzqbN5rgalZnreiRZ3SpjuFG23LS3MmWJj30TtcXk4Yr6+0sq4ov69K2RHywZpf9HTt4A5fr+OSH6x3tgzRNsh126Q06M1AtBVGmOVUPHjxYCcho9TnzzDP9rzEhJG2U5FtPEwd5BxNA+4XeWyVmb6W8XYvGOaX0HWb7tfmWfFm/TiII5Nosu+sc34dASTjJcmjk0J8FabSNg2EhRIYJoj/96U/Cy3KEkMwC1pIu42eL3pPetFV+/c79ImiMnDedNOm9OrU0/V2eeu/l8JFZbCdZjLQotCdIZWIpCsNUUoeQaFmIcnVmQRqm1Dl4Xy1av1tpW8IwHGtL9vfv3194WY4Q0rR5+O21gb+9GvnXOHnLVX1lgkZPD6lCSB7K+q60cfjMC4wsYvJi+lNHl5gHTtVGz59WaOsNUQcNw0oTQjwFzdyyb/f6vI9kQ7xhpGqT7WjfSlXxgY9e4+yXNrDtc+Uo6nYKgxHSunKHhnMy9bLeoqmA3HDEmGyH1sHq2nrHcYhUKmvSH7aHgogQYomTNzfFqdrX2uj73BjV0csRH7+iOcu5zsxwM3xVWnkg0rYTzGbbhSnVQqq0KnY+BBklshyWL8jTCRxqUDaMQ7EURIQQT0F/WVvnf6epbU+N0mF4OftVngJf5KF5X09k6PlUaI/EzO/i0OYFB7YtLVs4YYgye82yPjbFUqaTy9ybpmQ7fHYKddL6GA+ZJX7ftLtCpBveDYQQT0H+sjo5mmBA5NvIHO8lXlpKamwKSG3nAkFk5JA97UcnxQNlNm7AXn3MDq0JGYhcBbqMFFmpb8LKqVpFzRmYTiiICCGegg7TbNaUE64762jD37ReRPLQjizI9KwoZx9/qKGfkBnyPr3UBeXVdZ73T4hZBE7s2NLQInJS51aOxV6YAukRf8l2KIj0jEFGt5J220VOEh77BAURIcRT0GHa9Ylx2yDrNbJBTNuVk5xWeri/Iccfaquc3REMNaijVToFRCLWw+zqNSULEYMJext3q0DHSguLsZ1zb1QuSBhtixDiKdBC3gki4wbZrC+rk4I0ejmd1y9H0Ht/cII4fcp3jjqol68/Pem49KJht21WmLBcFo5yDjX5PJn1TR5d2lBAOeSthSjmQHRqw2SE4b6iICKEeAre9LwaMjNqTK8d3NV2gDgvY5vIs5IOKcn3cLv5utYdP3pwOa7RL57+1IWFKAQ9l0c0nSPxh2yHikjvsbc7yyxoH0A90l8DQkiTAv3lWce282RbRu0xfIvkn9771VkJIsKqz455INC8HG6xin/UuM/k9fJ8cAw29yEiUSHb6T2uc9/YjUOUH4LZi7QQEUI858g2xZ5sp0on0BsoKXAePyZhqMilBcsqSavfeC193Ii6pmQhIuZkCR+HzDQCKAxDZumXZISQJoeZI69XJGSe1zTd8v7TnQ7AS2SBqBcV2ClZEZ92T8zJSt1AZCigtdanMAhtCiJCiOf87b11oW64M9WZVk4uW+mBIDLytTKbWh+GN3mvCEMnHGayHD5Yen5AhkmXNYvDMMuMgogQEhqOOKRYXHTy4fHvFab5jYwba6umNf1Nb+q0KPTP8mU+y8z4x8ev7OdPhUhayM5KfYg7y6bYCsMzSUFECAkVraUZV4U6uZF0h8xsNNyyBSSIIT0/kNOTdDqkyLf9mHVONQZJdEnmcPmAzp45Vf/lR43JfvW0stZXSEU7FyAMlkcKIkJIqJDN7noNrF706qgE2GsmOZO3KMxPjw+RyfZCMOpBbODl83KiFAld36na3r0ShuHLpuNtSAhpEshWEL23y18OOSCI5HZW2+aGoG31BatZbk6DUBp2Viayp3cn/XQfJHOwK4eybQinYilXnt59Yzhkpnm06UNECCGat0Q5gm2e9Pfyu89VxIDelPvkdjv9jWsm4MZC1OPwFgnfEUiSZBZ5OdnKszThguNNy2VlObM26cUSMhJV2uUcMiOEEGH8plgmJT3VTjNPCJKo6dotAzOG4G3UK8YNOzat+29KYQ2igipGrPTOyi2ljoKKQmhlcmDG9NeAEEJUshKHzOzKloi4EOky5vQjPd9mteQ4rU2aiw5w4NFtDH/PJLxKMZNp1DccyPUnP2t2+e2I7uLJqwfoPnt6Z9NoAoP21IfhUlAQEUJCxUUnd9S15GhN7Kn4EDUlJ2wMIdpJ+6GHNrlrHIvzZ5S8VxZSJMQcvP3dPAVZWYn2WPlvvWChRs+aVifRh4gQQkycNOUO23SqfNPRN4GiHWpU6djafEp/SynJLYlAjjKJuoYGTcgLyecvN8e+U3XSMDcFESEkA9hfVWtZ5sVrT3O17Z4dWyQ0krLTdKHUwDYryLWdusNslhRp5Oh2JbrLR/Q8zHS9CefrO+OGoE9zRFSHzLJSsJRmaZ63LI+Su4bhUlAQEUIseX7RN5Zl3A6XTPr+iYa/1R9wdbB8q3WecykErW8IGHN6F93l2RaBK9u3KNQdasu0IbOo3gXq86L33OTrpN/QrmsUFFXvfBqn7tDOMkv/1eD0AEKIJW98vi1lM3xeTpaorU9u9JpLKSi0/bDq/Kn8pvmxpq7BMGVACNrWjMCo87OKdyT/nslO1VFFFSN6z2y2xcsF1pGFb2VNfdx3rd+RrXX2Ze/eC4OFiIKIEGJJbra1MdnKSmMkUuRGecOuioQOVvYhStqe9D5KFyJ3WAkfpxzfobnIJHKakHO9E+oPml5dOVULzYQG6cuhkuWwsby95K5hsNpyyIwQYgoEyqINuy3LFeW5e78qMDHRy0NmZr9pHa71mtYEoRWG19EmSJe2zdJdBWIHNQ6Ru2lmIjEGmK1dJS93GDssCCiICCGeUFNv7j9i1N61kpK5aoWLWSLRhHIW+9aSqcldibdE1fleDYIoi5LlByPBy5za9ZCkdfHoJFqI3D1L8nA4oA8RIaTJYNUwGlll5IaxS5vihFg6rTViSUZO8aFNdGrVtv76vOPMC5C0DbsFxQOX9hYzP/tWRBH10Smrbpw9urusWrQoTAynoOdjVFuXOO3ebbuQ7FQt0g4tRIQQU+wG+3Nrc9FL4GqUN8uoQXVq8Tmyjf50c0KigBpYM0HwZCWX+3DtrqRlBZro1vIm0FYsvfOchN8bbCqd0soakW5oISKEpD3YmyxyZIvDrGVbbAVwbK55s21KlgziD7X19WLBmuQOvynQsihX7Ku0MfvPxSObpaxj7EOktfwYvatoF9NCRAhpMrhN8mm2njydXju920yAVdU2lt1ZVuWqXqRpEwKXFd/oauHcrooUvRQcMau0N/jPIFK1XvoOu75BnGVGCGkyWBmIvpg0PP73pX0b85WZxbE5tHmBaQoBo21YBZcjpCmTm5Pl2K8n26aFF2JKTgprFkHeaF9AK3/C4FQdeKsxc+ZM0b9/f3HGGWeIwYMHi5UrV6ZUHqpy0qRJok+fPmLAgAFi9OjRYt++fUnb+eSTT0SPHj3ElVde6fkxEUKsA7qpQ1b49OrcytY2+3VJDvSm0ql1seFvYwcdZWv7xFsYpDEcWGkLdZaZTJbN4TMlUnXC9yzT7ejNVAO1mpga6ZdDAQuiRYsWiTFjxojnnntOzJ8/X4wdO1YMHz5c7N+/33X5adOmiZdeekksWLBAKZ+fny+uuOKKhO388Y9/FBMmTGhSGa4JCYrPvrGOQQSqpcjRVp3lhb0PTzmT+zGHGg8LdG3XLOWhPEIyDfVZsWshMkrBYTVkJkeqthrKPuIQ/RcXrUUochaiKVOmiBEjRohu3bop32HNqaurEzNmzHBVvr6+Xilz/fXXi6KiA9mZb7/9djFr1iyxYsWK+Ha6d+8u3nrrLdGuXbsAjjKzgH9Fl/Gzlc+3e8rTXR0SQmZ8uNFWOW36DDNaFuXrCh0nryyyxUkresx+I6SpY6Ut5OFmq4jS+hYik7yCFt+NhFPknKrnzZsn+vXr17jz7GzRt29fMXfuXFflly9fLnbs2JFQBuKnpKQkYZsXXnhhk7MOQZWrQmbzngpPtvnMQusEniR6LN6wx1Y5xjokmUR+bo44/eg2Iopk6czObNe80N66muSuyb9n2fMh0gigmlpzC3OTEkS7du0SpaWlon379gnLO3ToINavX++q/Lp165R/5TI4+fiut027VFdXK/uWP2FDNlPe+aq5H5ZdPtKJOUGIWebzd381OP63mSUGDtW01BASDFapaQpyE2MJGTlVDz3+UFvrJm4n8TscsGGpvf6soxPLaQpaDfOlirZPRz+fNkFUUXHAilFQkDhrBN/V35yWd7pNu0yePFm0bNky/uncubMIM19scS/Y2jZrfCvIMwmQR4gWNHJd2jSLD015EYeIZDbqUKUcRTzMhMBtxZcXZcvD0rk8WTrF9C4jnvMWRcZxv4ziEGl9hBDx2mkC6VRAPy736+jntQT2ylZcfMCxSqvK8F39zWl5p9u0Cxywb7311vh3qMmwiSL5bVuNOpoqTaxtIEGj03i+duMgcWLHlumoDUkjYXCQJcboiZ+sgwvxvC7eeGCYXO8dB8uOamsc6V0rolSBpPUx1OaR8/ue2bRpk2jRojHyvdaQAgIzCbRp00ZRZdu3b09Yvm3bNtG1a1dX5dV/tWXwXW+bdsGJwomTP4REEbxxfrPbnrVV3yjAjjGKhMFBNsr07tTS3iwzOeJ01oG/p17aK2mZE+drzAyVUWMWaQVPtcZnyG9BpO3T0yqIwNChQ8XixYsTYggtWbJEDBs2zFX5Xr16KTPH5DKrVq0S5eXlhttsKjidmSM7YTNWCPEDvSEzbd4jSzJjpIU0EZpqtvsbhhzjet1DWxSaPtN2RkPlMuo2tNvSxiHSfE0LgQqi8ePHi9mzZ4s1a9Yo35999lmRk5OjxBoCgwYNEhMnTrRdHn+jzPTp00VlZaWybOrUqWLkyJHixBNPFFHB6SM9d9V2/e3QzE1SQK/xLHIqiAghKVMk5flLpa3P0ltmQxDJliU1ZlG9Zp/J2e7T3/8EOu0DkaQRQ2jUqFFK3CBMo58zZ45o3ry58jscoWV/IKvyYNy4caKsrEwMHDhQ5ObmKjGLnnrqqYT9Pvroo0pwx6VLl4ovv/xSnHXWWeJXv/qVEuMoitz0/FJxYe/G1AmEGOFkZpheQ9kQC8FrHyHEVWqb7CzrBMx6yKupgugYKViqniizmhkXBIHPg73ooouUjx4YDnNSXr04d955p/Ix4pprrlE+UQVDZD3unJPuapAMRDu8CtFj9CKn9+JoNUWXEOI9qmBZt6NMDJ36XtLvZsaYYkns3PzCZ65GtQ9Yi2MJluMf9ukk7nr1i4QI1h+t2x1tQUSCo7SyRvS65610V4NkKPsqakVVXXJYfq3p28iZEuRkyPRr4i23nXusmPrmVyLshGCUxleMhrfsHnaDzglyGuQ4yyDuUDtN4mazeGdBwcAzTZgXl2x2VB63/r7KGjpfE7Fq6z7Re9Kb4pQ/vJ2wPMekMdRrz+Q4V3ZIf5NIvIDJdcMxxG30PKk6x0rbZOlswUq3oN+okTyk7eqnhhBYiCiImgCyiJdnk63e5ixg42ff7BW9aVEiQoiH5h2YyKBFbtySh9PcyRl5O039jZ2QIEk1ZVW1lMS1cZvu6qBtL7R+TH9/f13aX8IpiDKUhE7EwAC6UBqflWFAYaIHnBzV4Gmvf75Nt4xZNOpqB8ldjbhmsPv4YSQ8qH4oi3/btMOfhA27gsJuuIE5K7e7TgLbWF7fehXGzAjhqxFxzK6yGt3lG3fpB9Szm2IBjtjpVuwkGHCdj5rwP3H8794Qn24wyWlnmtQx9Xpc2Pvw1DdCMmb6N/EXo+Et1RIrW4AqbLb1Tp9zozo0K8xTRPN1mhxn6YRO1RmKURwJO9OkzfxAtKiz0z4cP0Qc3sp9OhQSbuTG8OoZnxqWyzLzV3ApiKym8BJCgh8yqzAQSDWaHGQ2KqG/+OC/Pud0dQQtRBlKYZ57LWvmB2LE6VPeobUoIpRWubvOTO5KMkns1uj4x0Q5jphdnD7mRsFZ1e3k+JzU1QnhqQlxRF2D+4B3nApNtFTWpN45lBTQ4ExImMiyGGFw6g/kxkJkJcrC5ErEFixD0Qaxwqwy8PZtg229ybsJ1ujH2wbJLF8Ps7dDN40rIekk6pMaT+zoPHF5luNZZubtRZgsyyHSZsQJdQYxG+787+eW69JARPzIOVZVyyFVkjmceWw7EVVUK8+RbUocr5vl8MXZSvDkhqhD4it/hlJfry+Itu6rslwXEUHd+ANhHVqJmh7vrv5OXPnEJ7bKmlmBwvSmR4gVh5Tki6aCkZ9WqpGq9XAaUdqqdOHBl7ERvQ5Le/9CC1GGUlZd63pWAUrsqdBfn0SP659NziFohNndFYbQ+4Q4IupjZi7IcZq6I0vfwV5drqYCmr18a9on7vB1P0MxSoRnN/Hezv3VnteJZCZOokPHTCyGaoN31ITZjDhN4sidXF5Olqg1sG4HSVhnvnmN8dT5etezALNcRqpOWh7CST60EDUxHyI7Nyve5N3MCGLm8qZJroNAIO1bJCZkJMQJEy/onu4qiN6dWqa7ChlBcX6umHpZb93lTjBqXeLT7kM01E5BFEEL0Y791eLChxc43ufRd/xPmc22vbTS8bokvDhxavzzj06yLBOe5o2EjTOPbZvuKoiHLj85/rc6XBM17AZszMlK3Spl5VtICxFJGaM8MEEkDB7/8gr/d0ICARmmnTRIR7UpVkzs+Oi9KaIxDEHSahJSOrQsEn+VBEk6aNe8wDLif1PB6Nm2a5TJ1lnf6SmrMgiAGZ92HyJBRB+iDMNN/CCveefLHWndP/GG9TvLxJAH3gs0ezYhQ48Pz3T3hpALosNaFtqaOWxE88K8lGKG5eg87wUOQ3RY7SlMQ2YURBmGlRf+19+VBVYXktk89dFGx+uEybxNMgOt4246ZxJpHYjDHipi0DFtxH8Wb/Z8u/m59gaHsnWfd2ciUj7H8rWvrq8PXZvCITPiinRPjyT+DbsaMf/XQywdKvE7ZhIRYnaPfDFpuAgDrYr1LShh4cazj/Flu3af0Nr65DQdjo1qFpGqKYhIxoNhOzhYlxvEQyLhBNcL1w0fp+2Q3ZdppvAgmfIiN25Yt4TvXduVpEWsYZ+v3DAwaXnbZoWKVeuFa07xdH92n+U6HUFUVess72G9Qd5NtQ5hstJxyCxDCIPvkB6zlm0VowYcke5qEJuUVTd2CKVVtb7cpzU6jSghYeToQ5snLkijS5HZC8oxhzZLabhyZ1mV6HfvPMcvLdk6YiXmYuKGGSUFOfFwCIxUTTJ6iGrxN3vSXQXiANnc7TRAHh2qSVMcNpNJ1y2O8yGLj2d/dkrCTE6vhYLd4yyymfTZjb/SaV3bKP+qx20UWy9IKIgyYGgjrGIIVNfSGtAU4lfZgXKINHWH73R2ybIg8lqYVdbUu4xDlOXYh0gr3ox8FTu0LDywj4OmsVTaJq+gIAopH6zZKTKBSmY4zyjypLe1/3z6refbR2PY3EUUdELShfzCieEdVSRNvbRXoPXIzg7OD8/u1rN1xvHaNnOWFNcqKwIFEbFk1dbS+N9hthCFPIwH0VDnYJjskR+fnHIwtzDfuyQaOBmak5+Owrxghb1sjdE+a6pIk49FDjDp9Dm78KTDXc8y69K2RPhx3GGIGs5XuZBySEnjzZ5uRzMv4lmQ9IOovE7ewnp2bOVrfUi0UTt5vyeMOElgeuLhLeJ/BzkbHOdAHsays+uOrQqVNExufIEOKbFn5cnxeOxO71qouRStnK+DgL1ZSNF694f1TdtgRiUJGXNWbhVHTfifOONP79heJ0cTT8iuGT8Mpm+SObjJuO4XE0c0Jp9NNaWE05fFmoOBCkF1nbcNq9uX6iIPnKqtoFM1cfQwhdlCFEurGyKxyy+eXuJ4HW1/YPdlkYKIpMKInoelbd+tihstJ/LtDsF2Sd+OjrZ1XPvGqfIY6lJzAI7o2UG3fI0U36fGIP9X0JR44A9o1X+pw3Lf7qlM+4t/eHtaEgc3iRxDIkzMWbldmQknP/hhFnBRxG7wzMsHdFam4r+4+NuUHDsh5isdBm8jRKUuJGZn2X8GbXCu7PVsA6PXgpYG0bEThsyyrK1pF09fINzgpI3Okd6Kpl7WW/ywTyfLdWRRg5lkdgWRum46+w9aiEKK/DxkUkZm+AKU+RDwj7jn7S+/s1UOIkbujKo0MwizXDpjE+JoplfA7Z0qMuS4P3pDZnYtpHghgOj4fHPjxBiZsYOOshQfdqbFOzlNRsdoRa5UJzcZeez4IIUpdQdf5UOKrJpTyXacDk68+03lX1qLwsHGXRW2yh3TrplYIyUHTmqUbbZbg7q1C41PCMk8Ch1mU/cLbT9t18fl8TH9TH8/rGWR7nL5cbOjEYKQjblSDCE3KTbsrBIiPUQLUVgDMt4x8/P4smF/ft+3/bUssk5u+KP+ncRPTzvStzoQf6ipaxBrvttvW8iMPpXXmKSfi0525qsj8/nd53pWjwFdDrEMMPjpb89OWtbnyNau9idbU5yKD79ePOukF/NaF0OZXdoUW5bJcTgU6Sd8fQ8Zzy36JtD92ZkJUVXbIIoCjslB9JGnKGstcIhddVjLQmXIoc/v58aXn3xEK9sOpXLjpG1kmbSVBEHPjo1T3z+ZOFT0v+/tuPiw8qVMdWaYTIENS5Wb0AFGs+oSLEQ2jiMIC1Ezyam6yIXl7t4fnGhZRh6KK6+uE23dpW3zBPZyIWP6O2sD3V+ejQdv5ZZ94qxjDw2kPsSc9TvLdZd/vH6X+NHfFyp/3zDk6ITfPvtmr6t9MXUZSQclBXlxwWBn1tE5PdqLt77YniA25IkeXiE/DtqXEa3IcTNbCsfduD0b4iMAX6tcySrmZvLooS0OpOcwQ04G/dHaXeLINulTRBREIQIP0Z6K2tCN18NCtGLzPsfbpv+Q93y1fX/8b/WN9K1xZ8TFEPh6e6MfkBO0jbhWD1EgEb8wsppol0OIaC0xfoV50O67vsH9bCg7ZROtMdblg4hukSu9MPvl7C47Vcv7SwfhGbwjacGODxHMmOm+UckBSnQa1lv/vSzh+5sH35ZTjSuldarmHUCijN2EqKoA6nFYC9fbt7OrIGLA5cl+Uz7tTh6K93LI0w18hY84epFI8TDKLwPHtm8uzu95mFiwdlewlYswsk/C/F+fJc7407uGZVcYTO91SrLPECFEpZX08mjH4uNUPzidfh5EdIJcqU52c405jTyeJzkR2Roq9BFaiCKOnXt8/PnHidxwzIRtctgx98tT4YMkadY9x8xImlE725X3nBt4tPwrB3ZxVN5p/DhZD9mZwBDEkFl2wpCZP/toHaK8nRREIQI3QyuDKKZ+0bokeX/a5/i4Di3EoGPaOt42HBu3ldqLgRNFCxDOz9F3/E98szvZUbq0sib+96bdAZ7DmHGjTDlEwoIszuWXCj1nZq/SQTQvdNY2yz43dupQLUV31wZF1d2+xqfJDyqk7dqpkxsK87ITQoWkEwqiiIA8PH8b3SdpudU49/rJFyhCrVPrEsWh0Smn/uEdpeNPd46aMPPMwm8SRNIBIdmYxbpNs8Y3qFQY2bsxR9QPTj5c16wtB5+r9KkBJCRV5MjLYYp0nMqQVoIFNiscFqJiyWKTn+P/MIHdYTm/oCAKGW6igdqhvLpelNfUmzpVo3HRih45J5XaCL103Wm+1DGqqG+Gsmj8wSMfxv9eva1xZlkqyLNY6uoTGx69PiV5yMyTahDiKX2PSA6E2L6FNy8RqaS/aEhpyMyaoKVDfQBiJd2JoSmIQoZffc5JR7QSC/WcojU7xIN+dnfzmEPdHc6eALQQGVNr0Qg89PYaT/ZTJYnb3eWNQ3KyEJedKNM9nk+IHa7QiaL/D4v0GUHwo/6dHZWXLV3yMJIRQ48PNjZcLABB1EBBRGT8ivUwqn9nXYVfoOMtbRVd1OksAoAIs+pw0N6KxM7YT+RhqDc+35oQij4ddVCFoSw2CnKzxYrNey2j8HopiD5cuytBpGKoLCkOUdK0e5qISPjQS6lxdLs0hjs+yI8HHOGovPy8dWptnfLi+rMSA7D6TZc2Jb5sV24Lc3SuZZDwFTBE7Cyr8iUw4y+HHCNaFuWLah2HtSyD5IN+Jud85J014rH56wNJALv828Yozdc+s0TcMqybuGXYsSJItknJeeE0WJyfaDHDspF/XRB4x6FntYuZ3RvUQySE6L2guXlp8xq/Y+rYSbvkJb0720sBFHYrlBkURCFix/5GR1q3QGAg5wzeNtTw9epzeeQhyW8dstXISfTVVIbAVDHkJ0a5hZ78cENggkivDnpj5NV1yb5dflAr+Q3N+uXplo0snaoJIUGS5hEzCqIw8d7qHSlvQ0/QqKbYywd0FtPfTcyV1s9m4k+/fIKMEpWmwpfbSsV5f5mv+xsscFbCTxYyS+88R0l6KrO/qlb0vPvNhHpv3VcpTpt8IAnlq78cKFoX5+kGU/xuf5Uya0weqnxx8WaXRyrEwKPbOAqYaZRvCVnCcRzIg/avTzbpT7unhYgQ2zi1UvldPhOIURARJ2k07CJ3dmoOHr28Za1K8pWp9ekOumeWxd0JO/ZXGYoh7bCVlt3l1QlZ4rXDe3qodR54TJv4sgsfNh7+Wrxxjzj/wQ+EVxQXuJ8Kq9egHnFISXyZ7HNECIkexQGLrnQPmdGpOkTkSiHMU/FD0vL9kzoq/26XfFnkG96NGGrbrDA+BfXL358nju/QXKSC7FD8yfrdttdDnrV3Vn8XD+h1539XWq6zr1LfT+vBeV+7Ht5bsMaelWbK66uFlxyhMwyq8qdLeooVd5/r2f1FAxEhxGvQB/Xv0trQQT5IaCEKEcX5zi1EH44fIl5dtiWpo8VNtu4PFyhxhEoOxp9pUdR4uYce3048fuUAD2p9wPLk5Y28aMNu0a9La3HCXY3DUlW1DWLppj1i8LGHxqenwqp0wl3JfkJuBBG29eSHG4XflFV765fT3USIntO9fcJU3p+c4nTWi/Y7JREhxHvUtoU+RCSlwFfwRflRv85xQSQPNWGWgyqGlN+kvyd9/wThJT0ObyFWbN7nybaQ7E8VQ8q2NY7JavBIPadpO6zbUSZ6dWrVJOIktTWIYi2budf+4QIl7lC75s6C1XGaPSEkCNT3tqDy0hlBQRQi3ASlwqwg5NixM86rDnP5wW3nHBt3xk0VK10IIfTQqJNcb3/9zvIkMeR3DCAvGXPakeLJjw5Ys07s1FK5prIP1tWaJJSwEjkVQ7oWolQqTQghBmSHxEIU+IDdzJkzRf/+/cUZZ5whBg8eLFauXJlSeThhTZo0SfTp00cMGDBAjB49Wuzbl2ipwPcrrrhC+R3l7rnnnrQ7b+mhNyX7iSsTI65++tuzE76HJY/PoS0OiK1PfztMXHzyAZ8ltzw4zzoy800vLHW9fXl4z2h6flj4YZ/kc4lLrvpvQeSqlsE1950v/nvDQHHHBd092bf2zuKIGSHED9S2Jd39cqAWokWLFokxY8aIxYsXi27duomnnnpKDB8+XKxatUo0b97cVflp06aJl156SSxcuFAUFRWJq6++WhE/r776anw7+N6+fXtlexUVFYowwvq33nqrCLsg6n5Y84yaaokhHAyfvfyZ+6nkfvPAm18pH/DaLweKMPOb848Tp3ZtI45qWywu+dvCpASsMrk52Z4GT2OkakJIsBaiCM0ymzJlihgxYoQibgCsOXV1dWLGjBmuytfX1ytlrr/+ekUMgdtvv13MmjVLrFixQvm+fPly5TuWg+LiYqU81sP6YfQhOlnq1NDJNQVfl7Dyxze+FGFjtOT8jIbi0n6dRY/DW8aXDT4umBxGWuMjUowQQojXqC9f6R64CbSFmzdvnujXr3EIKDs7W/Tt21fMnTvXVXmInR07diSU6d69uygpKYmXwTaaNWsmjjvuuHgZDMFhPawfRgvRoS0KEoZE5NximZBwMx35wtwy3+Z0eb/pIwXIvPXcY5OGxGROP7ox5pGfaC1EfqciIIREk6yD/0bGh2jXrl2itLRUGbqS6dChg1i/fr2r8uvWrVP+lcugEcd3uYzeNoDefkF1dbWyb/njlwDq/rs34p97Zq3U9Qv6wUmHi0zi/J6HJcwIQ8f+zu1nJpXT+kN5xb0/SJ5Bh3p0an3AiugFV52e6LjshHO6J1t4Ljq5Y1wEHVKS7ACtDpXikwmimBBC7KKOfNz+n2XCL7R9Ovp5LYG1rPDdAQUFiY09vqu/OS1vt4ze7/L6WiZPnqw4XgcB4gRp6a2ZEt7M5iyysHBkmxJFgBTm5sStCke1ba4cw43PLxGzlm31dH83nX2MGDuoa0Kk79GnJgsWhBq4esantrcLwbZic6k4rWsbZbgI10p1wL7lnG7irgsPCK+vtu8Xa3eUieueWWJru98/+XDx2Jj+8fx1yzbtFUOPD2YYzCnnn9hBvP75NjHkuHbprgohpImyaut+3/fRuXPnhO933XWXuPvuu9MjiOC7A7SqDN/V35yWt1tG73d5fS0TJkxIcLiGmtSeTC+AVpj/6yEJy9DxYsZWpmNkxbhhyDFxQYQyH99xtli9bb/46eOLlGUQUr3veTOeiBTfjWaBPXlVf9GlbYkSrdlO0MChx7cXr/7ydHHhwx+alpNThww5rtDSof3Y9s2Vz/M/P0Vc/tjHSYEzD2914D7bW1EjdpZVi2MObXSUx3T4YT0SLZhhYvpP+ogt+6rEYU3gniSEhJNYAM5DmzZtEi1atIh/1xpKAhVEbdq0ES1bthTbt29PWL5t2zbRtWtXV+XVf1GmU6dO8TL4LpfR24a8vhacKL2T5TXoxDubpF5oihzfoYX4+r7z41PfITLaH5yyL8dWqj3o8K7nRL5wwlDRoaW74a9WxfrRwBdOGCJOnfyOSIXTjm6rCFw15k91XUOC1QpJYrWJYsMO7tGOrbwbaiSEEC1BuA5BDMmCKO1O1UOHDlWm0MuqcMmSJWLYsGGuyvfq1Uu0a9cuoQym5JeXl8fLnH322aKsrEx89dWBadbg008/FYceeqiyPgkeqzQf//eTvvG/IZiQfHbRxLPFsrvOFZ9MHOZaDAE9J2XQoijfEx8dCFykMsHHy2S9hBBCfCYWIB9//HGsRYsWsa+//lr5/vTTT8c6duwYKy0tVb4PHDgwdscdd9guD6ZOnRrr3bt3rKKiQvk+duzY2MiRIxP2i+/XXHON8jfK9ezZU1nPLvv27YOAVf4lhBBCiHcc/9vXY0f+5jXl4zVO+u9Ap6sgICJiCI0aNUqJG4Rp9HPmzIkHWYSTs+zvY1UejBs3TrEADRw4UOTm5sYDOMrg+y9/+UtxyimniJqaGvHDH/5QWY8QQggh6QNuEXqTi9JBFlRRuisRduBUDX8mpACxGoMkhBBCiD206ZO8nlHtpP9m6FlCCCGERB4KIkIIIYREHgoiQgghhEQeCiJCCCGERB4KIkIIIYREHgoiQgghhEQeCiJCCCGERB4KIkIIIYREHgoiQgghhKSF4hRyR3oNBREhhBBCIg8FESGEEEIiDwURIYQQQiIPBREhhBBCIg8FESGEEEIiDwURIYQQQkJBRU1d2vZNQUQIIYSQyENBRAghhJDIQ0FECCGEkMhDQUQIIYSQyENBRAghhJDIQ0FECCGEkMhDQUQIIYSQtPHYT/uKMEBBRAghhJC0MfCYtiIMUBARQgghJPJQEBFCCCEk8lAQEUIIISTyUBARQgghJPLkprsChBBCCIkuxfm5YsOUEemuBi1EhBBCCCEURIQQQgiJPBREhBBCCIk8FESEEEIIiTwURIQQQgiJPBREhBBCCIk8FESEEEIIiTwURIQQQgiJPBREhBBCCIk8FESEEEIIiTwURIQQQgiJPBREhBBCCIk8FESEEEIIiTwURIQQQgiJPBREhBBCCIk8uemuQCYQi8WUf0tLS9NdFUIIIYTYxEm/TUFkg/379yv/du7cOd1VIYQQQogDCgsLRX5+vmW5rJhq/iCGNDQ0iC1btojmzZuLrKwskcls3rxZ9OjRQ3zxxReiY8eO6a4OOQivi3fwXIYXXpvws7kJXiOIIYgiK2ghskF2drbo1KmTaErmQ4i7Fi1apLs65CC8Lt7BcxleeG3CT2mErxGdqgkhhBASeSiICCGEEBJ5KIgiBkyggwcPjpwpNOzwungHz2V44bUJPy0ifI3oVE0IIYSQyEMLESGEEEIiDwURIYQQQiIPBREhhBBCIg8FESGEEEIiDwVRE+K///2vOP/888XZZ58tBg0aJPr06SOef/55y/Vmzpwp+vfvL8444wxldsHKlSsDqW9UcHNd7r77bnHSSSeJs846K/65+OKLA6tzJvDwww8rkePfffdd03IffPCBOPXUU5V7G//Onz8/sDpGGTvXZ8aMGeL4449PuM/xqampCbSuUcFNuzIzSv0DZpmRpsHw4cNjTz75ZPz7q6++GsvKyootW7bMcJ2PP/441rx589hXX32lfMf6HTt2jJWWlgZS5yjg5rrcddddsXfeeSegGmYemzdvjh1xxBGYIWt6njZs2BBr0aJF7P3331e+v/vuu8p3LCfpvz5PPPGE8iHB4LRd+Thi/QMtRE2I++67T/z4xz+Of4f6R1SFdevWGa4zZcoUMWLECNGtWzfl++jRo0VdXZ3y5kbSd12IOTfeeKO44447LMs9+OCDSl4mvN0CvOEed9xx4qGHHgqgltHF7vUh4WZKxPoHCqImRN++fUVu7oH0dLW1teKBBx5QOoNhw4YZrjNv3jzRr1+/hLxt2M7cuXMDqXMUcHNdiDGzZs0SeXl5Yvjw4ZZltfc3gPmf93c4rg8JN/Mi1j9QEDVBbrjhBtGuXTvlpp0zZ45o1qyZbrldu3Ypifzat2+fsLxDhw5i/fr1AdU2Oti9LiqPP/64Yk0aOHCgGDNmjFi7dq2IOuXl5WLixIli2rRptsrDCsf7O7zXB7z22mti6NChin/dZZddJj777DNf6xh17LYruyLYP1AQNUEeeeQRsXPnzvhNv3XrVt1yFRUVyr8FBQUJy/Fd/Y0Ef13AEUccIU4++WRFPMEJ+KijjlLezDZv3iyizO9+9ztx7bXXisMOO8xWedzHvL/De33Q2WI45vXXX1ec3zH54JRTThFLly71va5RxEm7UhHB/oGCqImCIZrf//73oqGhQfz5z3/WLVNcXKz8W11dnbAc39XfSPDXBVx99dVi3LhxSnmYqdHRFBYWiunTp4uosmTJEvHxxx8rHa5dcB/z/g7v9YEAmjx5crzTveqqq0Tv3r3F/fff72NNo4uTdqU4gv3DAccG0iTAVNX8/Pz4d9zwxx57rPjiiy90y7dp00a0bNlSbN++PWH5tm3bRNeuXX2vb1Rwel30yMnJEV26dIn0sNns2bNFZWWlMrwCqqqqlH9vueUW0apVK/GPf/xDHHPMMQnr4D7m/R3e66PH0UcfHen7PEjM2pU2EewfaCFqQiC+jRYMyxx++OGG66DxWrx4cfw7Zj/hTY8Ov+m9LjfffHPSsi1btigm76iCt1ncm4hrg88LL7ygLP/LX/6ifNfrbBH7Sb6/waeffsr7OyTXZ8KECUnDLxi+ifJ97idO25WhUesf0j3vn3gHYtu89tpr8e9PP/10LDs7OzZ//vz4soEDB8buuOOOhDgTiMvy9ddfx9dpynEmMuW6dOnSJfbf//43/v2xxx6LFRYWxlatWhVgzcPN+vXrk+LcXH755bHRo0cnxSH64IMPlO+IR8Q4ROG5PoMHD4499NBD8e9vvvmm8my8/fbbgdc3Cli1KwMj3j9wyKwJgZgriHmDMXn4qCBK7KuvvqrM3lDB25g8JjxgwAAlpsSoUaNEUVGRMpyDGVDNmzdP01E0PdxcF5THmzX8jDDkBh8LOEIiqi85MAyzcOHC+N84L7BIYJgG97DKkUceqcxiuu2225RhS5xjfMdykv7rM378ePHXv/5V/Pvf/1asD3g+XnnlFTFkyJA01r7pYtWuVES8f8iCKkp3JQghhBBC0gl9iAghhBASeSiICCGEEBJ5KIgIIYQQEnkoiAghhBASeSiICCGEEBJ5KIgIIYQQEnkoiAghkY4RhRgsSF9gBhLyogz+feutt3yvFyJsn3rqqUrMqg0bNvi+P0IIc5kRQiKeygD5mu6++27LsldeeaWtcl4wb948RQghGzkhJBhoISKEEEJI5KEgIoQERl1dnfjNb34jTjrpJDF48GBx7rnnis8//1z57cUXX1SWY5gI6TVGjhypWEiQbmDfvn1i7NixSqLc4cOHiz179uhu//rrrxd5eXmiR48e4umnn1aWPfXUU6Jv377xMhdffLFiFfrtb3+b0rFgCA1pEGRQf9mKhCG2G2+8UUlf0bp1a9G+fXvx2GOPifLycnHVVVcpKRCQ9PT1119PqS6EkNShICKEBMadd96p5Lj6+OOPxXvvvaeIAuSt2r9/v7jkkkviAuOrr74Ss2bNUvImIYv6xIkTlZxXyFRfVlYmHnroId3tT58+XQwcOFBceOGF4oorrlCWzZ49W3z22WdKVm/w8MMPi/POO0/ce++9gRzzk08+Kdq2bSsWLVqkiKPrrrtOXHrppeL0009XModDFKKu2qzvhJBgoSAihARCZWWlmDZtmiIKkFQSXH755UrCTyT3lLnsssuUf4899lhFTHTo0EEUFxcrySUhJCBwjPje976nWJhAbW2t2Lt3r2KZgTAC+PeCCy4QQdG7d2/FGtWtWzcxYcIEUVhYqBzTz3/+c2UZROKuXbvE8uXLA6sTISQZCiJCSCCsWbNGET+TJ09WhpLUD8SKdgjssMMOi/8NISR/LykpUYbQzATRypUrFafkDz74QJxxxhmKAFIFEYanghREvXr1iv+dk5Mj2rRpI3r27BlfhuMH3333XWB1IoQkw1lmhJBAeeCBB5RhMjMgHMy+x2Ixw3Uxjb5r166KlWj9+vXKcJT6L4RUaWmpaNeunfCD+vr6pGXwaZKBj5S8DN9BQ0ODL3UihNiDFiJCSCDAeRjDRatXr05YDp+e999/39N9qcNmy5YtUxydzznnHGX4DMNTsEp5xfbt2+N/Y/ubNm3ybNuEkGChICKEBEJRUZEYN26cIoDUIbKvv/5aCY54wgknuN4u/HLOPPPMhGUjRoxQYvlAhIFmzZops9rgdI3fvOLxxx8Xc+fOVY4DxwYL1Nq1axOEEiEkM6AgIoQExqRJk5Tp9KeddpoiUDBN/vnnn1f8at544w1lejqAFWf37t3KDKxt27aJKVOmiOeee078+c9/FjNmzBBLly4Vo0aNUspWV1cnzdDC+rBGyeIHViP465x88snxZRBj2Db2gXXg+O0EHMtNN92k+AShvpi59vLLLysiiRCSWWTFzAbjCSGExB3A5RhDiEMEAaeKOK9RI1XD/8kqtQghJHVoISKEEAsw7f+VV14JNJfZ6NGjxZFHHilyczn3hZAg4JNGCCEWvPDCC4HuD/5PhJBg4ZAZIYQQQiIPh8wIIYQQEnkoiAghhBASeSiICCGEEBJ5KIgIIYQQEnkoiAghhBASeSiICCGEEBJ5KIgIIYQQEnkoiAghhBASeSiICCGEEBJ5KIgIIYQQIqLO/wPvWJjDOO1S/QAAAABJRU5ErkJggg==", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -223,241 +208,108 @@ } ], "source": [ - "import astropy.constants as const\n", - "from specutils import Spectrum\n", - "\n", - "plt.figure(figsize=(12, 8))\n", - "ax = plt.gca()\n", - "# Loop through each NIR spectrum and load it\n", - "for i, spec_data in enumerate(nir_spectra):\n", - " try:\n", - " # Extract data\n", - " name = spec_data[0]\n", - " url = spec_data[1]\n", - " instrument = spec_data[6] \n", - " reference = spec_data[10]\n", - " \n", - " # Load the spectrum\n", - " spec = Spectrum.read(url, format='tabular-fits')\n", - " \n", - " # Get wavelength and flux with units\n", - " wavelength = spec.spectral_axis\n", - " flux = spec.flux\n", - " \n", - " print(f\"Loading {url}... \\n Units for wavelength: {wavelength.unit}, Units for flux: {flux.unit}\")\n", - " \n", - " target_unit = u.erg / (u.s * u.cm**2 * u.AA)\n", - "\n", - " if not flux.unit.is_equivalent(target_unit):\n", - " if flux.unit == u.Jy:\n", - " lam = wavelength.to(u.AA) \n", - " fnu = flux.to(u.erg / u.s / u.cm**2 / u.Hz) \n", - " flux = fnu * (const.c.to(u.AA/u.s) / lam**2) \n", - " flux = flux.to(target_unit)\n", - "\n", - " elif flux.unit == u.W / (u.um * u.m**2):\n", - " flux = flux.to(target_unit)\n", - "\n", - " flux = flux.to(target_unit) # Safety conversion in case of other units\n", - " \n", - " print(f\"Updated Units for flux: {flux.unit} \\n\")\n", - "\n", - " # Plot each spectrum with a unique color and label\n", - " plt.plot(wavelength, flux, label=f\"{instrument} ({reference})\", alpha=0.8, linewidth=1.5)\n", - " \n", - " except Exception as e:\n", - " print(f\"Error: {str(e)}\")\n", - "\n", - "# Plot configuration\n", - "plt.xlabel(\"Wavelength (μm)\")\n", - "plt.ylabel(\"Flux (erg / Å s cm²)\")\n", - "plt.title(f\"NIR Spectra of {name}\", fontsize=14)\n", - "plt.grid(True, color='lightgray', linestyle='-', linewidth=0.5, alpha=0.5)\n", - "plt.legend(loc='upper right')\n", - "\n", - "plt.yscale('log')\n", - "\n", - "plt.tight_layout()\n", - "plt.show()" + "jwst = Spectrum.read('https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits')\n", + "jwst.plot()\n", + "plt.title('JWST NIRSpec Spectrum of 2MASS J04151954-0935066')" ] }, { - "cell_type": "markdown", - "id": "8fd5be27", + "cell_type": "code", + "execution_count": 82, + "id": "b4085d54", "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'FIRE Spectrum of 2MASS J04151954-0935066')" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#### Now lets try plotting spectra from multiple sources using a couple different metrics we can decide on within SIMPLE" + "fire = Spectrum.read('https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits')\n", + "fire.plot()\n", + "plt.title('FIRE Spectrum of 2MASS J04151954-0935066')" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "04555395", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'AKARI Spectrum of 2MASS J04151954-0935066')" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "akari = Spectrum.read('https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits')\n", + "akari.plot()\n", + "plt.title('AKARI Spectrum of 2MASS J04151954-0935066')" ] }, { "cell_type": "markdown", - "id": "2c729f9a", + "id": "d5bbef16", "metadata": {}, "source": [ - "##### To further understand what different ways you can query obects you can reference the schema in simple/schema.yaml" + "##### The Spectrum.read function automatically picks up on the units within the fits file, and you can see from each of these that the flux is at different units so to be able to plot them all together we would need to do some unit conversion to better visualize them. Lets do that next!" ] }, { "cell_type": "code", - "execution_count": 46, - "id": "595f56b9", + "execution_count": 89, + "id": "03d1c866", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Querying spectra with T_eff between 1100K and 1400K...\n", - "Found 314 spectra matching the criteria within SIMPLE.\n", - "Total unique sources with T_eff between 1100K and 1400K: 87 \n", - "\n", - " source parameter value model param_reference \\\n", - "0 2MASS J03255322+0425406 T eff 1100.0 atmospheric Sang23 \n", - "1 2MASS J07420130+2055198 T eff 1100.0 atmospheric Sang23 \n", - "2 2MASS J08304878+0128311 T eff 1100.0 atmospheric Sang23 \n", - "3 2MASS J15031961+2525196 T eff 1100.0 atmospheric Sang23 \n", - "4 2MASS J15031961+2525196 T eff 1100.0 atmospheric Sang23 \n", - ".. ... ... ... ... ... \n", - "309 2MASS J12545393-0122474 T eff 1400.0 atmospheric Sang23 \n", - "310 2MASS J16291840+0335371 T eff 1400.0 atmospheric Sang23 \n", - "311 2MASSI J1711457+223204 T eff 1400.0 atmospheric Sang23 \n", - "312 SDSS J083717.21-000018.0 T eff 1400.0 atmospheric Sang23 \n", - "313 SDSS J085834.42+325627.7 T eff 1400.0 atmospheric Sang23 \n", - "\n", - " regime instrument telescope spec_reference observation_date \\\n", - "0 nir SpeX IRTF Chiu06 2005-08-13 00:00:00.000000 \n", - "1 nir SpeX IRTF Burg10.1142 2008-01-10 00:00:00.000000 \n", - "2 nir SpeX IRTF Burg10.1142 2008-01-10 00:00:00.000000 \n", - "3 mir IRS Spitzer Suar22 2005-07-06 00:00:00.000000 \n", - "4 mir IRS Spitzer PID51 2005-07-06 04:45:47.084000 \n", - ".. ... ... ... ... ... \n", - "309 nir SpeX IRTF Cruz18 2003-05-22 00:00:00.000000 \n", - "310 nir WFC3 HST Manj19 2015-06-06 00:00:00.000000 \n", - "311 nir WFC3 HST Manj19 2012-08-01 00:00:00.000000 \n", - "312 mir IRS Spitzer Suar22 2004-04-13 00:00:00.000000 \n", - "313 nir SpeX IRTF Burg10.1142 2008-01-09 00:00:00.000000 \n", - "\n", - " access_url \n", - "0 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", - "1 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", - "2 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", - "3 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1503... \n", - "4 https://s3.amazonaws.com/bdnyc/IRS/1503%2B2525... \n", - ".. ... \n", - "309 https://s3.amazonaws.com/bdnyc/nir_spectra/spe... \n", - "310 https://bdnyc.s3.amazonaws.com/WFC3/J1629%2B03... \n", - "311 https://bdnyc.s3.amazonaws.com/WFC3/J1711%2B22... \n", - "312 https://bdnyc.s3.amazonaws.com/IRS/SDSS+J08371... \n", - "313 https://s3.amazonaws.com/bdnyc/SpeX/Prism/spex... \n", - "\n", - "[314 rows x 11 columns]\n" - ] - } - ], + "outputs": [], "source": [ - "# Create a query to join ModeledParameters and Spectra tables\n", - "# This will find all spectra for sources with T_eff between 1100-1400K\n", - "spectra_temp_query = \"\"\"\n", - "SELECT \n", - " mp.source, \n", - " mp.parameter,\n", - " mp.value,\n", - " mp.model, \n", - " mp.reference as param_reference,\n", - " s.regime, \n", - " s.instrument, \n", - " s.telescope, \n", - " s.reference as spec_reference,\n", - " s.observation_date,\n", - " s.access_url\n", - "FROM ModeledParameters mp\n", - "JOIN Spectra s ON mp.source = s.source\n", - "WHERE mp.parameter = 'T eff' \n", - " AND mp.value BETWEEN 1100 AND 1400\n", - "ORDER BY mp.value, mp.source, s.regime\n", - "\"\"\"\n", - "\n", - "# Execute the query\n", - "print(\"Querying spectra with T_eff between 1100K and 1400K...\")\n", - "print(f\"Found {len(db.sql_query(spectra_temp_query))} spectra matching the criteria within SIMPLE.\")\n", - "print(f\"Total unique sources with T_eff between 1100K and 1400K: {len(set([row[0] for row in db.sql_query(spectra_temp_query)]))} \\n\")\n", - "low_temp = db.sql_query(spectra_temp_query, fmt='pandas')\n", - "print(low_temp)" + "# Converting the outlier spectra to the same units (JWST NIRSpec Spectra is in Jy)\n", + "jwst_wavelength, flux = jwst.spectral_axis, jwst.flux\n", + "target_unit = u.W / (u.um * u.m**2) # Desired flux unit\n", + " \n", + "jwst_flux_converted = flux.to(target_unit, equivalencies=u.spectral_density(jwst_wavelength))" ] }, { "cell_type": "code", - "execution_count": 48, - "id": "5788b06a", + "execution_count": 94, + "id": "68f9176a", "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n", - "Error: 'Source'\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/m2/1g4yxt715m54blcw4245j4ch0000gn/T/ipykernel_28208/2408149984.py:61: UserWarning: No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", - " plt.legend(loc='upper right', fontsize=8)\n" - ] - }, { "data": { - "image/png": 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", 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", 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" ] @@ -467,97 +319,33 @@ } ], "source": [ - "from specutils import Spectrum\n", - "import numpy as np\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import astropy.units as u\n", - "import astropy.constants as const\n", - "\n", - "# Create a figure for plotting\n", "plt.figure(figsize=(12, 8))\n", "\n", - "# Get the first 10 rows of the dataframe\n", - "lower = low_temp[:50]\n", - "colors = plt.cm.viridis(np.linspace(0, 1, len(lower)))\n", - "\n", - "# Loop through the first 10 spectra and plot them\n", - "for i, (idx, row) in enumerate(lower.iterrows()):\n", - " try:\n", - " # Extract data\n", - " source_name = row['Source']\n", - " temp = row['Teff (K)']\n", - " url = row['URL']\n", - " instrument = row['Instrument']\n", - " regime = row['Regime']\n", - " \n", - " # Load the spectrum\n", - " spec = Spectrum.read(url, format='tabular-fits')\n", - " \n", - " # Get wavelength and flux with units\n", - " wavelength = spec.spectral_axis\n", - " flux = spec.flux\n", - " \n", - " # Convert to common units for plotting\n", - " target_unit = u.erg / (u.s * u.cm**2 * u.AA)\n", - " \n", - " if not flux.unit.is_equivalent(target_unit):\n", - " if flux.unit == u.Jy:\n", - " # Convert from Jansky to erg/s/cm2/Å\n", - " lam = wavelength.to(u.AA)\n", - " fnu = flux.to(u.erg / u.s / u.cm**2 / u.Hz)\n", - " flux = fnu * (const.c.to(u.AA/u.s) / lam**2)\n", - " flux = flux.to(target_unit)\n", - " elif flux.unit == u.W / (u.um * u.m**2):\n", - " flux = flux.to(target_unit)\n", - " \n", - " # Ensure flux is in target unit\n", - " flux = flux.to(target_unit)\n", - " \n", - " # Plot with source name, temperature and instrument in the label\n", - " plt.plot(wavelength, flux, color=colors[i], \n", - " label=f\"{source_name} (T={temp:.1f}K, {instrument}, {regime})\", \n", - " alpha=0.8, linewidth=1.5)\n", - " \n", - " except Exception as e:\n", - " print(f\"Error: {str(e)}\")\n", - "\n", - "# Plot configuration\n", - "plt.xlabel(\"Wavelength (μm)\")\n", - "plt.ylabel(\"Flux (erg / Å s cm²)\")\n", - "plt.title(\"First 10 Spectra from Temperature-Selected Sources\", fontsize=14)\n", - "plt.grid(True, color='lightgray', linestyle='-', linewidth=0.5, alpha=0.5)\n", - "plt.legend(loc='upper right', fontsize=8)\n", - "plt.xlim(5, 10)\n", - "plt.ylim(1e-19, 1e-14)\n", + "plt.plot(jwst_wavelength, jwst_flux_converted, label='JWST NIRSpec')\n", + "plt.plot(akari.spectral_axis, akari.flux, label='AKARI')\n", + "plt.plot(fire.spectral_axis, fire.flux, label='FIRE')\n", "\n", - "# Use log scale for y-axis if the data spans multiple orders of magnitude\n", + "# Add labels and title\n", + "plt.xlabel('Wavelength (μm)')\n", + "plt.ylabel('Flux (W / (μm m²))')\n", + "plt.title('Multiple Spectra for 2MASS J04151954-0935066')\n", "plt.yscale('log')\n", + "plt.legend()\n", + "plt.grid(True, alpha=0.3)\n", "\n", - "plt.tight_layout()\n", + "# Display the plot\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 17, - "id": "672d3014", + "execution_count": 146, + "id": "8be90a1e", "metadata": {}, "outputs": [ - { - "ename": "AttributeError", - "evalue": "'Table' object has no attribute 'head'", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mAttributeError\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[17]\u001b[39m\u001b[32m, line 22\u001b[39m\n\u001b[32m 12\u001b[39m fig, ax = plt.subplots(figsize=(\u001b[32m12\u001b[39m, \u001b[32m8\u001b[39m))\n\u001b[32m 14\u001b[39m \u001b[38;5;66;03m# # List of spectra to process\u001b[39;00m\n\u001b[32m 15\u001b[39m \u001b[38;5;66;03m# spectra_list = [\u001b[39;00m\n\u001b[32m 16\u001b[39m \u001b[38;5;66;03m# {'data': s0136, 'name': \"SIMP J013656.5+093347.3\"},\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 20\u001b[39m \u001b[38;5;66;03m# ]\u001b[39;00m\n\u001b[32m 21\u001b[39m \u001b[38;5;66;03m# Get the first 10 rows of the dataframe\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m22\u001b[39m first_ten = \u001b[43mlow_temp\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhead\u001b[49m(\u001b[32m50\u001b[39m)\n\u001b[32m 24\u001b[39m \u001b[38;5;66;03m# Create a colormap for different spectra\u001b[39;00m\n\u001b[32m 25\u001b[39m colors = plt.cm.viridis(np.linspace(\u001b[32m0\u001b[39m, \u001b[32m1\u001b[39m, \u001b[38;5;28mlen\u001b[39m(first_ten)))\n", - "\u001b[31mAttributeError\u001b[39m: 'Table' object has no attribute 'head'" - ] - }, { "data": { - "image/png": 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", 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" ] @@ -567,119 +355,115 @@ } ], "source": [ - "import numpy as np\n", - "from specutils import Spectrum\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import astropy.units as u\n", + "plt.figure(figsize=(12, 8))\n", "\n", - "# Define normalization range\n", - "l1 = 6.2\n", - "l2 = 6.4\n", + "plt.plot(jwst_wavelength, jwst_flux_converted, label='JWST NIRSpec')\n", + "plt.plot(akari.spectral_axis, akari.flux, label='AKARI')\n", + "plt.plot(fire.spectral_axis, fire.flux, label='FIRE')\n", "\n", - "# Create a figure\n", - "fig, ax = plt.subplots(figsize=(12, 8))\n", + "# Add labels and title\n", + "plt.xlabel('Wavelength (μm)')\n", + "plt.ylabel('Flux (W / (μm m²), Normalized)')\n", + "plt.title('2MASS J04151954-0935066')\n", + "plt.grid(True, alpha=0.3)\n", "\n", - "# # List of spectra to process\n", - "# spectra_list = [\n", - "# {'data': s0136, 'name': \"SIMP J013656.5+093347.3\"},\n", - "# {'data': vhs, 'name': \"VHS J12560183-1257276\"},\n", - "# {'data': {'wavelength': flux_wa, 'flux': flux_fa}, 'name': \"WISE 1049A\"},\n", - "# {'data': {'wavelength': flux_wb, 'flux': flux_fb}, 'name': \"WISE 1049B\"}\n", - "# ]\n", - "# Get the first 10 rows of the dataframe\n", - "first_ten = low_temp.head(50)\n", + "jwst_range = [jwst_wavelength.value.min(), jwst_wavelength.value.max()]\n", + "akari_range = [akari.spectral_axis.value.min(), akari.spectral_axis.value.max()]\n", + "fire_range = [fire.spectral_axis.value.min(), fire.spectral_axis.value.max()]\n", "\n", - "# Create a colormap for different spectra\n", - "colors = plt.cm.viridis(np.linspace(0, 1, len(first_ten)))\n", + "# Annotate the plot with Matplotlib's hlines and text functions\n", "\n", - "# Loop through the first 10 spectra and plot them\n", - "for i, (idx, row) in enumerate(first_ten.iterrows()):\n", - " try:\n", - " # Get the spectrum object or wavelength/flux data\n", - " # Extract data\n", - " source_name = row['Source']\n", - " temp = row['Teff (K)']\n", - " url = row['URL']\n", - " instrument = row['Instrument']\n", - " regime = row['Regime']\n", - " \n", - " # Load the spectrum\n", - " spectrum = Spectrum.read(url, format='tabular-fits')\n", - " \n", + "#JWST\n", + "plt.hlines(8.8e-16, jwst_range[0], jwst_range[1], \n", + " colors=plt.gca().lines[0].get_color(), linestyles='-', linewidth=2, alpha=0.7)\n", + "plt.text((jwst_range[0] + jwst_range[1])/2, 8.9e-16, 'JWST NIRSpec', \n", + " color=plt.gca().lines[0].get_color(), fontweight='bold', ha='center')\n", "\n", - " # Handle different data formats\n", - " if isinstance(spectrum, Spectrum):\n", - " wavelength = spectrum.spectral_axis\n", - " flux = spectrum.flux\n", - " else:\n", - " wavelength = spectrum['wavelength']\n", - " flux = spectrum['flux']\n", - " \n", - " # Calculate normalization factor in range l1 to l2\n", - " norm_indices = []\n", - " for i in range(len(wavelength.value)):\n", - " if wavelength.value[i] > l1 and wavelength.value[i] < l2:\n", - " norm_indices.append(i)\n", - " \n", - " if norm_indices:\n", - " norm_factor = np.mean(flux.value[norm_indices])\n", - " normalized_flux = flux / norm_factor\n", - " \n", - " # Plot normalized spectrum\n", - " ax.plot(wavelength, normalized_flux, label=name)\n", - " print(f\"Normalized {name} with factor: {norm_factor:.3e}\")\n", - " else:\n", - " print(f\"Warning: No data points in normalization range for {name}\")\n", - " # Plot unnormalized if no points in range\n", - " ax.plot(wavelength, flux, label=f\"{name} (unnormalized)\")\n", - " \n", - " except Exception as e:\n", - " print(f\"Error processing: {str(e)}\")\n", + "#AKARI\n", + "plt.hlines(8.3e-16, akari_range[0], akari_range[1], \n", + " colors=plt.gca().lines[1].get_color(), linestyles='-', linewidth=2, alpha=0.7)\n", + "plt.text((akari_range[0] + akari_range[1])/2, 8.4e-16, 'AKARI', \n", + " color=plt.gca().lines[1].get_color(), fontweight='bold', ha='center')\n", "\n", - "# Configure plot\n", - "ax.set_xlim(5.5, 10.5)\n", - "ax.set_xlabel('Wavelength (μm)')\n", - "ax.set_ylabel('Normalized Flux')\n", - "ax.set_title('Normalized Spectra (6.2-6.4 μm)')\n", - "ax.legend(loc='upper right')\n", - "ax.grid(True, alpha=0.3)\n", + "#FIRE \n", + "plt.hlines(0.55e-15, fire_range[0], fire_range[1], \n", + " colors=plt.gca().lines[2].get_color(), linestyles='-', linewidth=2, alpha=0.7)\n", + "plt.text((fire_range[0] + fire_range[1])/2, 0.56e-15, 'FIRE', \n", + " color=plt.gca().lines[2].get_color(), fontweight='bold', ha='center')\n", "\n", - "plt.tight_layout()\n", - "plt.show()\n", - "\n" + "plt.show()" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "f8962a50", + "cell_type": "markdown", + "id": "8fd5be27", "metadata": {}, - "outputs": [], "source": [ - "#plot spectra from one reference \n", - "#plot spectra from within a temperature range\n", - "\n", - "#plot count of spectra by instrument\n", - "\n", - "#plot count of spectra by reference\n", - "\n", - "#plot spectra by obs date" + "#### Now lets try plotting spectra from multiple sources using a couple different metrics we can decide on within SIMPLE" + ] + }, + { + "cell_type": "markdown", + "id": "2c729f9a", + "metadata": {}, + "source": [ + "##### To further understand what different ways you can query obects you can reference the schema in simple/schema.yaml and for a visual reference the github documentation: https://github.com/SIMPLE-AstroDB/SIMPLE-db/tree/main/docs" ] }, { "cell_type": "code", - "execution_count": 54, - "id": "7246dc6f", + "execution_count": 193, + "id": "595f56b9", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Found 1202 spectra for 357 unique sources\n" + "Found 213 spectra for sources with T_eff between 1100-1300K within SIMPLE.\n", + "Found 60 unique sources.\n", + "First ten sources:\n", + "['2MASS J03255322+0425406' '2MASS J07420130+2055198'\n", + " '2MASS J08304878+0128311' '2MASS J15031961+2525196'\n", + " '2MASS J23565477-1553111' '2MASSI J1546271-332511'\n", + " '2MASSI J2339101+135230' '2MASS J07584037+3247245'\n", + " '2MASS J08592547-1949268' '2MASS J09083803+5032088']\n" ] - }, + } + ], + "source": [ + "# Create a query to join ModeledParameters and Spectra tables\n", + "# This will find all spectra for sources with T_eff between 1100-1200K\n", + "spectra_temp_query = \"\"\"\n", + "SELECT \n", + " mp.source, \n", + " mp.parameter,\n", + " mp.value,\n", + " s.regime, \n", + " s.instrument, \n", + " s.telescope, \n", + " s.access_url\n", + "\n", + "FROM ModeledParameters mp\n", + "JOIN Spectra s ON mp.source = s.source\n", + "WHERE mp.parameter = 'T eff' \n", + " AND mp.value BETWEEN 1100 AND 1300\n", + "ORDER BY mp.value, mp.source, s.regime\n", + "\"\"\"\n", + "\n", + "# Execute the query\n", + "low_temp = db.sql_query(spectra_temp_query, fmt='pandas')\n", + "print(f\"Found {len(low_temp)} spectra for sources with T_eff between 1100-1300K within SIMPLE.\") #How many spectra did we find?\n", + "print(f\"Found {len(low_temp['source'].unique())} unique sources.\") #How many unique sources did we find?\n", + "print(f\"First ten sources:\\n{low_temp['source'].unique()[:10]}\") #Lets print the first ten sources" + ] + }, + { + "cell_type": "code", + "execution_count": 189, + "id": "02aa555b", + "metadata": {}, + "outputs": [ { "data": { "text/html": [ @@ -701,896 +485,661 @@ "
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SourceRadius(Mj)ModelRegimeInstrumentTelescopeSpec_RefParam_RefObs_DateURLsourceparametervalueregimeinstrumenttelescopeaccess_url
02MASS J00320509+02190171.00evolutionaryopticalR-C SpecKPNO 4mReid08.1290Sang232003-07-09 00:00:00.000000https://s3.amazonaws.com/bdnyc/optical_spectra...
12MASS J02355993-23312051.00evolutionarymirIRSSpitzerPID50367Sang232009-01-19 21:59:42.525000https://s3.amazonaws.com/bdnyc/IRS/GJ1048B.txt
22MASS J02355993-23312051.00evolutionarynirSpeXIRTFBurg08.579Sang232006-12-23 00:00:00.000000https://s3.amazonaws.com/bdnyc/nir_spectra/U50...
32MASS J03255322+04254061.00atmosphericT eff1100.0nirSpeXIRTFChiu06Sang232005-08-13 00:00:00.000000https://s3.amazonaws.com/bdnyc/spex-prism_SDSS...
42MASS J04455387-30482041.00NonemirIRSSpitzerSuar22Fili152005-03-14 00:00:00.000000https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0445...
52MASS J04455387-30482041.00NonemirIRSSpitzerPID3136Fili152005-03-14 12:24:05.373000https://s3.amazonaws.com/bdnyc/0445-3048.txt
62MASS J04455387-30482041.00NonenirSpeXIRTFCruz18Fili152004-11-08 00:00:00.000000https://s3.amazonaws.com/bdnyc/SpeX/Prism/U103...
72MASS J04455387-30482041.00NoneopticalR-C SpecCTIO 4mCruz03Fili152002-01-25 04:49:10.093000https://s3.amazonaws.com/bdnyc/RCspec/U10329.fits
82MASS J05002100+03305011.00NonenirXShooterESO VLTManj16Fili152010-02-05 00:00:00.000000https://bdnyc.s3.amazonaws.com/xshooter/2M0500...
92MASS J05002100+03305011.00NonenirSpeXIRTFBard14Fili152012-12-27 00:00:00.000000https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS...
102MASS J05002100+03305011.00NoneopticalR-C SpecKPNO 4mReid08.1290Fili152004-02-11 00:00:00.000000https://s3.amazonaws.com/bdnyc/u20197.fits
112MASS J05002100+03305011.00NoneopticalXShooterESO VLTManj16Fili152010-02-05 00:00:00.000000https://bdnyc.s3.amazonaws.com/xshooter/2M0500...
122MASS J06411840-43223291.00evolutionarynirSpeXIRTFBard14Sang232012-12-27 00:00:00.000000https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS...
132MASS J06411840-43223291.00evolutionaryopticalR-C SpecCTIO 4mReid08.1290Sang232003-04-20 00:12:15.073000https://s3.amazonaws.com/bdnyc/U20252.fits
142MASS J08354256-08192371.00None12MASS J07420130+2055198T eff1100.0nirSpeXIRTFBurg10.1142Fili152004-11-08 00:00:00.000000https://s3.amazonaws.com/bdnyc/U10742.fits
152MASS J08354256-08192371.00NoneopticalR-C SpecCTIO 4mCruz03Fili152002-01-24 05:59:51.376000https://s3.amazonaws.com/bdnyc/U10742_jan02.fits
162MASS J08354256-08192371.00NoneopticalR-C SpecKPNO 4mCruz07Fili152004-02-12 00:00:00.000000https://s3.amazonaws.com/bdnyc/optical_spectra...https://s3.amazonaws.com/bdnyc/spex-prism_SDSS...
172MASS J08472872-15323721.00None22MASS J08304878+0128311T eff1100.0nirSpeXIRTFMcEl06Fili152004-11-08 00:00:00.000000https://s3.amazonaws.com/bdnyc/U10764.fits
182MASS J08472872-15323721.00NoneopticalR-C SpecKPNO 4mReid08.1290Fili152004-02-12 00:00:00.000000https://s3.amazonaws.com/bdnyc/u10764.fitshttps://s3.amazonaws.com/bdnyc/spex-prism_SDSS...
192MASS J10511900+56130861.00evolutionary32MASS J15031961+2525196T eff1100.0mirIRSSpitzerSuar22Sang232005-04-16 00:00:00.000000https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1051...
202MASS J10511900+56130861.00evolutionaryopticalR-C SpecKPNO 4mReid08.1290Sang232004-02-10 00:00:00.000000https://s3.amazonaws.com/bdnyc/optical_spectra...
212MASS J10584787-15481721.00NonenirSpeXIRTFBurg10.1142Fili152005-03-24 00:00:00.000000https://s3.amazonaws.com/bdnyc/U10949.fits
222MASS J10584787-15481721.00NoneopticalLRISKeck IKirk99.802Fili151997-12-09 00:00:00.000000https://s3.amazonaws.com/bdnyc/U10949_lris_091...
232MASS J11553952-37273501.00NoneopticalR-C SpecCTIO 4mReid08.1290Fili152003-04-23 03:02:39.158000https://s3.amazonaws.com/bdnyc/optical_spectra...
242MASS J11553952-37273501.00NoneopticalR-C SpecCTIO 4mReid08.1290Fili152006-01-15 07:38:04.793000https://s3.amazonaws.com/bdnyc/U20431_jan06.fitshttps://bdnyc.s3.amazonaws.com/IRS/2MASS+J1503...
252MASS J13595510-40345821.00NonenirSpeXIRTFBard14Fili152012-03-30 00:00:00.000000https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS...
262MASS J13595510-40345821.00NonenirSpeXIRTFBard14Fili152013-04-25 00:00:00.000000https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS...
272MASS J13595510-40345821.00NoneopticalR-C SpecCTIO 4mReid08.1290Fili152003-04-22 03:14:17.761000https://s3.amazonaws.com/bdnyc/U20543.fits
282MASS J14243909+09171041.00NonenirSpeXIRTFBard14Fili152009-06-29 00:00:00.000000http://academicworks.cuny.edu/context/hc_pubs/...
292MASS J15394189-05204281.00NonenirSpeXIRTFBard14Fili152008-07-14 00:00:00.000000http://academicworks.cuny.edu/context/hc_pubs/...
302MASS J15394189-05204281.00NoneopticalR-C SpecKPNO 4mReid08.1290Fili152004-02-10 00:00:00.000000https://s3.amazonaws.com/bdnyc/u20625.fits
312MASS J21075409-45440641.00evolutionaryopticalR-C SpecCTIO 4mReid08.1290Sang232003-04-20 09:04:53.180000https://s3.amazonaws.com/bdnyc/optical_spectra...
322MASS J23392527+35071651.00atmosphericnirSpeXIRTFBurg10.1142Sang232003-09-04 00:00:00.000000https://s3.amazonaws.com/bdnyc/SpeX/Prism/U210...
332MASS J23392527+35071651.00atmosphericopticalGMOS-NGemini NorthCruz07Sang232004-09-21 00:00:00.000000https://s3.amazonaws.com/bdnyc/optical_spectra...
342MASS J00100009-20311221.01evolutionarynirSpeXIRTFBard14Sang232008-07-14 00:00:00.000000https://s3.amazonaws.com/bdnyc/SpeX/Prism/spex...
352MASS J00100009-20311221.01evolutionaryopticalR-C SpecKPNO 4mCruz07Sang232002-09-25 00:00:00.000000https://s3.amazonaws.com/bdnyc/optical_spectra...
362MASS J00361617+18211041.01None42MASS J15031961+2525196T eff1100.0mirIRSSpitzerSuar22Fili152004-01-06 00:00:00.000000https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0036...https://s3.amazonaws.com/bdnyc/IRS/1503%2B2525...
........................
372MASS J00361617+18211041.01None208SDSS J151643.01+305344.4T eff1300.0mirIRSSpitzerCush06.614Fili152004-01-06 02:58:46.222000https://s3.amazonaws.com/bdnyc/0036%2B1821.txthttps://bdnyc.s3.amazonaws.com/IRS/2MASS+J1516...
382MASS J00361617+18211041.01None209SIMP J013656.5+093347.3T eff1300.0mirIRSSpitzerArdi10Fili152006-01-17 00:00:00.000000https://s3.amazonaws.com/bdnyc/IRS/IRS_DimSuns...
392MASS J00361617+18211041.01NonenirSpeXIRTFCruz18Fili152003-08-12 00:00:00.000000https://s3.amazonaws.com/bdnyc/nir_spectra/2M0...https://bdnyc.s3.amazonaws.com/IRS/SIMP+J01365...
402MASS J00361617+18211041.01None210SIMP J013656.5+093347.3T eff1300.0nirXShooterESO VLTManj16Fili152009-11-07 00:00:00.000000https://bdnyc.s3.amazonaws.com/xshooter/2M0036...https://bdnyc.s3.amazonaws.com/xshooter/IPMS01...
412MASS J00361617+18211041.01None211SIMP J013656.5+093347.3T eff1300.0nirSpeXIRTFRayn09Fili152009-12-01 00:00:00.000000https://s3.amazonaws.com/bdnyc/L3.5_2MASSJ0036...WFC3HSThttps://bdnyc.s3.amazonaws.com/WFC3/SIMP0136.csv
422MASS J00361617+18211041.01NoneopticalR-C SpecKPNO 4mCruz07Fili152002-09-27 00:00:00.000000https://s3.amazonaws.com/bdnyc/2M0036.fits
432MASS J00361617+18211041.01None212SIMP J013656.5+093347.3T eff1300.0opticalXShooterESO VLTManj16Fili152009-11-07 00:00:00.000000https://bdnyc.s3.amazonaws.com/xshooter/2M0036...
442MASS J05233822-14030221.01NonemirIRSSpitzerSuar22Fili152005-03-12 00:00:00.000000https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0523...
452MASS J05233822-14030221.01NonemirIRSSpitzerPID3136Fili152005-03-12 05:05:00.500000https://s3.amazonaws.com/bdnyc/0523-1403.txt
462MASS J05233822-14030221.01NonenirSpeXIRTFCruz18Fili152004-11-07 00:00:00.000000https://s3.amazonaws.com/bdnyc/SpeX/Prism/U103...
472MASS J05233822-14030221.01NoneopticalR-C SpecCTIO 4mCruz03Fili152002-01-24 05:04:33.539000https://s3.amazonaws.com/bdnyc/RCspec/U10390.fits
482MASS J06411840-43223291.01NonenirSpeXIRTFBard14Fili152012-12-27 00:00:00.000000https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS...
492MASS J06411840-43223291.01NoneopticalR-C SpecCTIO 4mReid08.1290Fili152003-04-20 00:12:15.073000https://s3.amazonaws.com/bdnyc/U20252.fitshttps://bdnyc.s3.amazonaws.com/xshooter/IPMS01...
\n", + "

213 rows × 7 columns

\n", "" ], "text/plain": [ - " Source Radius(Mj) Model Regime Instrument \\\n", - "0 2MASS J00320509+0219017 1.00 evolutionary optical R-C Spec \n", - "1 2MASS J02355993-2331205 1.00 evolutionary mir IRS \n", - "2 2MASS J02355993-2331205 1.00 evolutionary nir SpeX \n", - "3 2MASS J03255322+0425406 1.00 atmospheric nir SpeX \n", - "4 2MASS J04455387-3048204 1.00 None mir IRS \n", - "5 2MASS J04455387-3048204 1.00 None mir IRS \n", - "6 2MASS J04455387-3048204 1.00 None nir SpeX \n", - "7 2MASS J04455387-3048204 1.00 None optical R-C Spec \n", - "8 2MASS J05002100+0330501 1.00 None nir XShooter \n", - "9 2MASS J05002100+0330501 1.00 None nir SpeX \n", - "10 2MASS J05002100+0330501 1.00 None optical R-C Spec \n", - "11 2MASS J05002100+0330501 1.00 None optical XShooter \n", - "12 2MASS J06411840-4322329 1.00 evolutionary nir SpeX \n", - "13 2MASS J06411840-4322329 1.00 evolutionary optical R-C Spec \n", - "14 2MASS J08354256-0819237 1.00 None nir SpeX \n", - "15 2MASS J08354256-0819237 1.00 None optical R-C Spec \n", - "16 2MASS J08354256-0819237 1.00 None optical R-C Spec \n", - "17 2MASS J08472872-1532372 1.00 None nir SpeX \n", - "18 2MASS J08472872-1532372 1.00 None optical R-C Spec \n", - "19 2MASS J10511900+5613086 1.00 evolutionary mir IRS \n", - "20 2MASS J10511900+5613086 1.00 evolutionary optical R-C Spec \n", - "21 2MASS J10584787-1548172 1.00 None nir SpeX \n", - "22 2MASS J10584787-1548172 1.00 None optical LRIS \n", - "23 2MASS J11553952-3727350 1.00 None optical R-C Spec \n", - "24 2MASS J11553952-3727350 1.00 None optical R-C Spec \n", - "25 2MASS J13595510-4034582 1.00 None nir SpeX \n", - "26 2MASS J13595510-4034582 1.00 None nir SpeX \n", - "27 2MASS J13595510-4034582 1.00 None optical R-C Spec \n", - "28 2MASS J14243909+0917104 1.00 None nir SpeX \n", - "29 2MASS J15394189-0520428 1.00 None nir SpeX \n", - "30 2MASS J15394189-0520428 1.00 None optical R-C Spec \n", - "31 2MASS J21075409-4544064 1.00 evolutionary optical R-C Spec \n", - "32 2MASS J23392527+3507165 1.00 atmospheric nir SpeX \n", - "33 2MASS J23392527+3507165 1.00 atmospheric optical GMOS-N \n", - "34 2MASS J00100009-2031122 1.01 evolutionary nir SpeX \n", - "35 2MASS J00100009-2031122 1.01 evolutionary optical R-C Spec \n", - "36 2MASS J00361617+1821104 1.01 None mir IRS \n", - "37 2MASS J00361617+1821104 1.01 None mir IRS \n", - "38 2MASS J00361617+1821104 1.01 None mir IRS \n", - "39 2MASS J00361617+1821104 1.01 None nir SpeX \n", - "40 2MASS J00361617+1821104 1.01 None nir XShooter \n", - "41 2MASS J00361617+1821104 1.01 None nir SpeX \n", - "42 2MASS J00361617+1821104 1.01 None optical R-C Spec \n", - "43 2MASS J00361617+1821104 1.01 None optical XShooter \n", - "44 2MASS J05233822-1403022 1.01 None mir IRS \n", - "45 2MASS J05233822-1403022 1.01 None mir IRS \n", - "46 2MASS J05233822-1403022 1.01 None nir SpeX \n", - "47 2MASS J05233822-1403022 1.01 None optical R-C Spec \n", - "48 2MASS J06411840-4322329 1.01 None nir SpeX \n", - "49 2MASS J06411840-4322329 1.01 None optical R-C Spec \n", + " source parameter value regime instrument telescope \\\n", + "0 2MASS J03255322+0425406 T eff 1100.0 nir SpeX IRTF \n", + "1 2MASS J07420130+2055198 T eff 1100.0 nir SpeX IRTF \n", + "2 2MASS J08304878+0128311 T eff 1100.0 nir SpeX IRTF \n", + "3 2MASS J15031961+2525196 T eff 1100.0 mir IRS Spitzer \n", + "4 2MASS J15031961+2525196 T eff 1100.0 mir IRS Spitzer \n", + ".. ... ... ... ... ... ... \n", + "208 SDSS J151643.01+305344.4 T eff 1300.0 mir IRS Spitzer \n", + "209 SIMP J013656.5+093347.3 T eff 1300.0 mir IRS Spitzer \n", + "210 SIMP J013656.5+093347.3 T eff 1300.0 nir XShooter ESO VLT \n", + "211 SIMP J013656.5+093347.3 T eff 1300.0 nir WFC3 HST \n", + "212 SIMP J013656.5+093347.3 T eff 1300.0 optical XShooter ESO VLT \n", "\n", - " Telescope Spec_Ref Param_Ref Obs_Date \\\n", - "0 KPNO 4m Reid08.1290 Sang23 2003-07-09 00:00:00.000000 \n", - "1 Spitzer PID50367 Sang23 2009-01-19 21:59:42.525000 \n", - "2 IRTF Burg08.579 Sang23 2006-12-23 00:00:00.000000 \n", - "3 IRTF Chiu06 Sang23 2005-08-13 00:00:00.000000 \n", - "4 Spitzer Suar22 Fili15 2005-03-14 00:00:00.000000 \n", - "5 Spitzer PID3136 Fili15 2005-03-14 12:24:05.373000 \n", - "6 IRTF Cruz18 Fili15 2004-11-08 00:00:00.000000 \n", - "7 CTIO 4m Cruz03 Fili15 2002-01-25 04:49:10.093000 \n", - "8 ESO VLT Manj16 Fili15 2010-02-05 00:00:00.000000 \n", - "9 IRTF Bard14 Fili15 2012-12-27 00:00:00.000000 \n", - "10 KPNO 4m Reid08.1290 Fili15 2004-02-11 00:00:00.000000 \n", - "11 ESO VLT Manj16 Fili15 2010-02-05 00:00:00.000000 \n", - "12 IRTF Bard14 Sang23 2012-12-27 00:00:00.000000 \n", - "13 CTIO 4m Reid08.1290 Sang23 2003-04-20 00:12:15.073000 \n", - "14 IRTF Burg10.1142 Fili15 2004-11-08 00:00:00.000000 \n", - "15 CTIO 4m Cruz03 Fili15 2002-01-24 05:59:51.376000 \n", - "16 KPNO 4m Cruz07 Fili15 2004-02-12 00:00:00.000000 \n", - "17 IRTF McEl06 Fili15 2004-11-08 00:00:00.000000 \n", - "18 KPNO 4m Reid08.1290 Fili15 2004-02-12 00:00:00.000000 \n", - "19 Spitzer Suar22 Sang23 2005-04-16 00:00:00.000000 \n", - "20 KPNO 4m Reid08.1290 Sang23 2004-02-10 00:00:00.000000 \n", - "21 IRTF Burg10.1142 Fili15 2005-03-24 00:00:00.000000 \n", - "22 Keck I Kirk99.802 Fili15 1997-12-09 00:00:00.000000 \n", - "23 CTIO 4m Reid08.1290 Fili15 2003-04-23 03:02:39.158000 \n", - "24 CTIO 4m Reid08.1290 Fili15 2006-01-15 07:38:04.793000 \n", - "25 IRTF Bard14 Fili15 2012-03-30 00:00:00.000000 \n", - "26 IRTF Bard14 Fili15 2013-04-25 00:00:00.000000 \n", - "27 CTIO 4m Reid08.1290 Fili15 2003-04-22 03:14:17.761000 \n", - "28 IRTF Bard14 Fili15 2009-06-29 00:00:00.000000 \n", - "29 IRTF Bard14 Fili15 2008-07-14 00:00:00.000000 \n", - "30 KPNO 4m Reid08.1290 Fili15 2004-02-10 00:00:00.000000 \n", - "31 CTIO 4m Reid08.1290 Sang23 2003-04-20 09:04:53.180000 \n", - "32 IRTF Burg10.1142 Sang23 2003-09-04 00:00:00.000000 \n", - "33 Gemini North Cruz07 Sang23 2004-09-21 00:00:00.000000 \n", - "34 IRTF Bard14 Sang23 2008-07-14 00:00:00.000000 \n", - "35 KPNO 4m Cruz07 Sang23 2002-09-25 00:00:00.000000 \n", - "36 Spitzer Suar22 Fili15 2004-01-06 00:00:00.000000 \n", - "37 Spitzer Cush06.614 Fili15 2004-01-06 02:58:46.222000 \n", - "38 Spitzer Ardi10 Fili15 2006-01-17 00:00:00.000000 \n", - "39 IRTF Cruz18 Fili15 2003-08-12 00:00:00.000000 \n", - "40 ESO VLT Manj16 Fili15 2009-11-07 00:00:00.000000 \n", - "41 IRTF Rayn09 Fili15 2009-12-01 00:00:00.000000 \n", - "42 KPNO 4m Cruz07 Fili15 2002-09-27 00:00:00.000000 \n", - "43 ESO VLT Manj16 Fili15 2009-11-07 00:00:00.000000 \n", - "44 Spitzer Suar22 Fili15 2005-03-12 00:00:00.000000 \n", - "45 Spitzer PID3136 Fili15 2005-03-12 05:05:00.500000 \n", - "46 IRTF Cruz18 Fili15 2004-11-07 00:00:00.000000 \n", - "47 CTIO 4m Cruz03 Fili15 2002-01-24 05:04:33.539000 \n", - "48 IRTF Bard14 Fili15 2012-12-27 00:00:00.000000 \n", - "49 CTIO 4m Reid08.1290 Fili15 2003-04-20 00:12:15.073000 \n", + " access_url \n", + "0 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", + "1 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", + "2 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", + "3 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1503... \n", + "4 https://s3.amazonaws.com/bdnyc/IRS/1503%2B2525... \n", + ".. ... \n", + "208 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1516... \n", + "209 https://bdnyc.s3.amazonaws.com/IRS/SIMP+J01365... \n", + "210 https://bdnyc.s3.amazonaws.com/xshooter/IPMS01... \n", + "211 https://bdnyc.s3.amazonaws.com/WFC3/SIMP0136.csv \n", + "212 https://bdnyc.s3.amazonaws.com/xshooter/IPMS01... \n", "\n", - " URL \n", - "0 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", - "1 https://s3.amazonaws.com/bdnyc/IRS/GJ1048B.txt \n", - "2 https://s3.amazonaws.com/bdnyc/nir_spectra/U50... \n", - "3 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", - "4 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0445... \n", - "5 https://s3.amazonaws.com/bdnyc/0445-3048.txt \n", - "6 https://s3.amazonaws.com/bdnyc/SpeX/Prism/U103... \n", - "7 https://s3.amazonaws.com/bdnyc/RCspec/U10329.fits \n", - "8 https://bdnyc.s3.amazonaws.com/xshooter/2M0500... \n", - "9 https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS... \n", - "10 https://s3.amazonaws.com/bdnyc/u20197.fits \n", - "11 https://bdnyc.s3.amazonaws.com/xshooter/2M0500... \n", - "12 https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS... \n", - "13 https://s3.amazonaws.com/bdnyc/U20252.fits \n", - "14 https://s3.amazonaws.com/bdnyc/U10742.fits \n", - "15 https://s3.amazonaws.com/bdnyc/U10742_jan02.fits \n", - "16 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", - "17 https://s3.amazonaws.com/bdnyc/U10764.fits \n", - "18 https://s3.amazonaws.com/bdnyc/u10764.fits \n", - "19 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1051... \n", - "20 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", - "21 https://s3.amazonaws.com/bdnyc/U10949.fits \n", - "22 https://s3.amazonaws.com/bdnyc/U10949_lris_091... \n", - "23 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", - "24 https://s3.amazonaws.com/bdnyc/U20431_jan06.fits \n", - "25 https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS... \n", - "26 https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS... \n", - "27 https://s3.amazonaws.com/bdnyc/U20543.fits \n", - "28 http://academicworks.cuny.edu/context/hc_pubs/... \n", - "29 http://academicworks.cuny.edu/context/hc_pubs/... \n", - "30 https://s3.amazonaws.com/bdnyc/u20625.fits \n", - "31 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", - "32 https://s3.amazonaws.com/bdnyc/SpeX/Prism/U210... \n", - "33 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", - "34 https://s3.amazonaws.com/bdnyc/SpeX/Prism/spex... \n", - "35 https://s3.amazonaws.com/bdnyc/optical_spectra... \n", - "36 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0036... \n", - "37 https://s3.amazonaws.com/bdnyc/0036%2B1821.txt \n", - "38 https://s3.amazonaws.com/bdnyc/IRS/IRS_DimSuns... \n", - "39 https://s3.amazonaws.com/bdnyc/nir_spectra/2M0... \n", - "40 https://bdnyc.s3.amazonaws.com/xshooter/2M0036... \n", - "41 https://s3.amazonaws.com/bdnyc/L3.5_2MASSJ0036... \n", - "42 https://s3.amazonaws.com/bdnyc/2M0036.fits \n", - "43 https://bdnyc.s3.amazonaws.com/xshooter/2M0036... \n", - "44 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0523... \n", - "45 https://s3.amazonaws.com/bdnyc/0523-1403.txt \n", - "46 https://s3.amazonaws.com/bdnyc/SpeX/Prism/U103... \n", - "47 https://s3.amazonaws.com/bdnyc/RCspec/U10390.fits \n", - "48 https://bdnyc.s3.amazonaws.com/SpeX/Prism/2MAS... \n", - "49 https://s3.amazonaws.com/bdnyc/U20252.fits " + "[213 rows x 7 columns]" ] }, - "execution_count": 54, + "execution_count": 189, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "import pandas as pd\n", - "\n", - "# Create a query to join ModeledParameters and Spectra tables\n", - "\n", - "query = \"\"\"\n", - "SELECT \n", - " mp.source, \n", - " mp.value as effective_temp, \n", - " mp.model, \n", - " s.regime, \n", - " s.instrument, \n", - " s.telescope, \n", - " s.reference as spec_reference,\n", - " mp.reference as temp_reference,\n", - " s.observation_date,\n", - " s.access_url\n", - "FROM ModeledParameters mp\n", - "JOIN Spectra s ON mp.source = s.source\n", - "WHERE mp.parameter = 'radius' \n", - " AND mp.value BETWEEN 1.0 AND 1.5\n", - "ORDER BY mp.value, mp.source, s.regime\n", - "\"\"\"\n", - "\n", - "# Execute the query\n", - "results = db.sql_query(query)\n", + "low_temp" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ca9414f5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J15031961+2525196: W / (um m2)\n", + "Skipped 2MASS J07584037+3247245: W / (um m2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J08592547-1949268: erg / (A s cm2)\n", + "Skipped 2MASS J09083803+5032088: erg / (A s cm2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J09083803+5032088: erg / (A s cm2)\n", + "Skipped 2MASS J21392676+0220226: erg / (A s cm2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "\\wavsamp version for S13.0, 2005 Sep 13, D. Shupe [astropy.io.fits.card]\n", + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "\\processing time 13:37:15 PST 09/13/2005 [astropy.io.fits.card]\n", + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "\\wavsamp software version 5.1 (Wed Apr 20 08:45:04 PDT 2005) [astropy.io.fits.card]\n", + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "\\character channelID = 0 [astropy.io.fits.card]\n", + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "\\COMMENT ========== Keywords from PROFILE table file below ========== [astropy.io.fits.card]\n", + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "\u0000 [astropy.io.fits.card]\n", + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "FCON_UNC = 0.000000 [astropy.io.fits.card]\n", + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J21392676+0220226: erg / (A s cm2)\n", + "Skipped 2MASS J21392676+0220226: W / (um m2)\n", + "Skipped 2MASS J21392676+0220226: W / (um m2)\n", + "Skipped 2MASS J00001354+2554180: W / (um m2)\n", + "Skipped 2MASS J08300825+4828482: W / (um m2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n", + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J16322911+1904407: W / (um m2)\n", + "Skipped 2MASS J16322911+1904407: W / (um m2)\n", + "Skipped 2MASS J16322911+1904407: W / (um m2)\n", + "Skipped 2MASS J02550357-4700509: W / (um m2)\n", + "Skipped 2MASS J02550357-4700509: W / (um m2)\n", + "Skipped 2MASS J02550357-4700509: W / (um m2)\n", + "Skipped 2MASS J02550357-4700509: W / (um m2)\n", + "Skipped 2MASS J02550357-4700509: W / (um m2)\n", + "Skipped 2MASS J02550357-4700509: W / (um m2)\n", + "Skipped SDSS J083717.21-000018.0: W / (um m2)\n", + "Skipped 2MASS J15150083+4847416: W / (um m2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J15150083+4847416: W / (um m2)\n", + "Skipped 2MASS J15150083+4847416: W / (um m2)\n", + "Skipped 2MASS J00001354+2554180: W / (um m2)\n", + "Skipped 2MASS J05591914-1404488: W / (um m2)\n", + "Skipped 2MASS J05591914-1404488: W / (um m2)\n", + "Skipped 2MASS J21392676+0220226: W / (um m2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "\\wavsamp version for S13.0, 2005 Sep 13, D. Shupe [astropy.io.fits.card]\n", + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "\\processing time 13:37:15 PST 09/13/2005 [astropy.io.fits.card]\n", + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "\\wavsamp software version 5.1 (Wed Apr 20 08:45:04 PDT 2005) [astropy.io.fits.card]\n", + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "\\character channelID = 0 [astropy.io.fits.card]\n", + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "\\COMMENT ========== Keywords from PROFILE table file below ========== [astropy.io.fits.card]\n", + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "\u0000 [astropy.io.fits.card]\n", + "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", + "FCON_UNC = 0.000000 [astropy.io.fits.card]\n", + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J21392676+0220226: W / (um m2)\n", + "Skipped 2MASS J21392676+0220226: W / (um m2)\n", + "Skipped 2MASS J21392676+0220226: W / (um m2)\n", + "Skipped 2MASS J21442847+1446077: W / (um m2)\n", + "Skipped 2MASS J21513839-4853542: W / (um m2)\n", + "Skipped 2MASS J21513839-4853542: W / (um m2)\n", + "Skipped 2MASS J22443167+2043433: W / (um m2)\n", + "Skipped 2MASS J22443167+2043433: W / (um m2)\n", + "Skipped 2MASS J22443167+2043433: W / (um m2)\n", + "Skipped 2MASS J22443167+2043433: W / (um m2)\n", + "Skipped 2MASS J11555389+0559577: W / (um m2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n", + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J23254530+4251488: W / (um m2)\n", + "Skipped 2MASS J23254530+4251488: W / (um m2)\n", + "Skipped 2MASS J02572581-3105523: W / (um m2)\n", + "Skipped 2MASS J02572581-3105523: W / (um m2)\n", + "Skipped 2MASS J12545393-0122474: W / (um m2)\n", + "Skipped 2MASS J12545393-0122474: W / (um m2)\n", + "Skipped 2MASS J08251968+2115521: W / (um m2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J08251968+2115521: erg / (A s cm2)\n", + "Skipped 2MASS J08251968+2115521: erg / (A s cm2)\n", + "Skipped 2MASS J00001354+2554180: erg / (A s cm2)\n", + "Skipped 2MASS J12545393-0122474: erg / (A s cm2)\n", + "Skipped 2MASS J12545393-0122474: erg / (A s cm2)\n", + "Skipped 2MASS J01033203+1935361: W / (um m2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J01033203+1935361: W / (um m2)\n", + "Skipped 2MASS J01033203+1935361: W / (um m2)\n", + "Skipped 2MASS J00303013-1450333: W / (um m2)\n", + "Skipped 2MASS J15232263+3014562: W / (um m2)\n", + "Skipped 2MASS J15232263+3014562: W / (um m2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J10101480-0406499: erg / (A s cm2)\n", + "Skipped 2MASS J08300825+4828482: erg / (A s cm2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J05591914-1404488: erg / (A s cm2)\n", + "Skipped 2MASS J05591914-1404488: erg / (A s cm2)\n", + "Skipped 2MASS J13314894-0116500: erg / (A s cm2)\n", + "Skipped 2MASS J13314894-0116500: erg / (A s cm2)\n", + "Skipped 2MASS J13314894-0116500: erg / (Angstrom s cm2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: FITSFixedWarning: 'datfix' made the change 'Set MJD-OBS to 51943.212002 from DATE-OBS'. [astropy.wcs.wcs]\n", + "WARNING: UnitsWarning: 'erg/cm2/s/A' contains multiple slashes, which is discouraged by the FITS standard [astropy.units.format.generic]\n", + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J15203974+3546210: erg / (Angstrom s cm2)\n", + "Skipped 2MASS J11181292-0856106: erg / (Angstrom s cm2)\n", + "Skipped 2MASS J11181292-0856106: erg / (Angstrom s cm2)\n", + "Skipped 2MASS J06244595-4521548: erg / (Angstrom s cm2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J06244595-4521548: erg / (A s cm2)\n", + "Skipped 2MASS J06244595-4521548: erg / (A s cm2)\n", + "Skipped 2MASS J06244595-4521548: erg / (A s cm2)\n", + "Skipped 2MASS J06244595-4521548: erg / (A s cm2)\n", + "Skipped 2MASS J16322911+1904407: W / (um m2)\n", + "Skipped 2MASS J16322911+1904407: W / (um m2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J16322911+1904407: W / (um m2)\n", + "Skipped 2MASS J20025073-0521524: erg / (A s cm2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n", + "WARNING: VerifyWarning: Invalid 'BLANK' keyword in header. The 'BLANK' keyword is only applicable to integer data, and will be ignored in this HDU. [astropy.io.fits.hdu.image]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J20025073-0521524: erg / (A s cm2)\n", + "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", + "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", + "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", + "Skipped 2MASS J02550357-4700509: erg / (A s cm2)\n", + "Skipped 2MASS J02550357-4700509: erg / (A s cm2)\n", + "Skipped 2MASS J02550357-4700509: erg / (A s cm2)\n", + "Skipped 2MASS J02550357-4700509: erg / (A s cm2)\n", + "Skipped 2MASS J02550357-4700509: erg / (A s cm2)\n", + "Skipped 2MASS J02550357-4700509: erg / (A s cm2)\n", + "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", + "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", + "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", + "Skipped 2MASS J21481633+4003594: erg / (A s cm2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n", + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipped 2MASS J21481633+4003594: W / (um m2)\n", + "Skipped 2MASS J15232263+3014562: W / (um m2)\n", + "Skipped 2MASS J15232263+3014562: W / (um m2)\n", + "Skipped 2MASS J15261405+2043414: W / (um m2)\n", + "Skipped 2MASS J15261405+2043414: W / (um m2)\n", + "Skipped 2MASSI J2254188+312349: W / (um m2)\n", + "Skipped SDSS J151643.01+305344.4: W / (um m2)\n", + "Skipped SIMP J013656.5+093347.3: W / (um m2)\n", + "Skipped SIMP J013656.5+093347.3: W / (um m2)\n", + "Skipped SIMP J013656.5+093347.3: W / (um m2)\n" + ] + }, + { + "ename": "AttributeError", + "evalue": "module 'matplotlib.pyplot' has no attribute 'label'", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mAttributeError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[194]\u001b[39m\u001b[32m, line 32\u001b[39m\n\u001b[32m 30\u001b[39m plt.ylabel(\u001b[33m'\u001b[39m\u001b[33mFlux (erg/Å/s/cm²), Log Scale\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m 31\u001b[39m plt.title(\u001b[33m'\u001b[39m\u001b[33mSpectra with Compatible Units (T_eff 1100-1300K)\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m---> \u001b[39m\u001b[32m32\u001b[39m \u001b[43mplt\u001b[49m\u001b[43m.\u001b[49m\u001b[43mlabel\u001b[49m()\n\u001b[32m 33\u001b[39m plt.yscale(\u001b[33m'\u001b[39m\u001b[33mlog\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m 34\u001b[39m plt.xlim(\u001b[32m0.5\u001b[39m, \u001b[32m2.5\u001b[39m)\n", + "\u001b[31mAttributeError\u001b[39m: module 'matplotlib.pyplot' has no attribute 'label'" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from specutils import Spectrum1D\n", + "import astropy.units as u\n", "\n", - "# Create a pandas DataFrame for better display\n", - "spectra_df = pd.DataFrame(results, \n", - " columns=['Source', 'Radius(Mj)', 'Model', 'Regime', \n", - " 'Instrument', 'Telescope', 'Spec_Ref', \n", - " 'Param_Ref', 'Obs_Date', 'URL'])\n", + "plt.figure(figsize=(12, 8))\n", "\n", - "# Display some statistics\n", - "print(f\"Found {len(spectra_df)} spectra for {spectra_df['Source'].nunique()} unique sources\")\n", + "# Loop through spectra\n", + "for i in range(len(low_temp)):\n", + " url = low_temp.iloc[i]['access_url']\n", + " source = low_temp.iloc[i]['source']\n", + " temp = low_temp.iloc[i]['value']\n", + " \n", + " if \"fits\" in url:\n", + " try:\n", + " spec = Spectrum1D.read(url)\n", + " \n", + " # Check if flux can be converted to the target units\n", + " target_unit = u.erg / (u.A * u.s * u.cm**2)\n", + " wavelength = spec.spectral_axis.to(u.um)\n", + " flux = spec.flux.to(target_unit, equivalencies=u.spectral_density(wavelength))\n", + " \n", + " # Only plots if conversion is successful\n", + " plt.plot(wavelength, flux, label=f\"{source}, ({temp}K)\", alpha=0.7)\n", + " \n", + " except Exception as e:\n", + " print(f\"Skipped {source}: {spec.flux.unit if 'spec' in locals() else 'loading failed'}\")\n", + " continue\n", "\n", - "# Display the first 10 rows with selected columns for readability\n", - "spectra_df.head(50)" + "plt.xlabel('Wavelength (μm)')\n", + "plt.ylabel('Flux (erg/Å/s/cm²), Log Scale')\n", + "plt.title('Spectra with Compatible Units (T_eff 1100-1300K)')\n", + "plt.legend()\n", + "plt.yscale('log')\n", + "plt.xlim(0.5, 2.5)\n", + "plt.grid(True, alpha=0.3)\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "75b562fa", + "metadata": {}, + "source": [ + "##### Bonus Example! Using SQL_Query (https://astrodbkit.readthedocs.io/en/latest/astrodb.html#astrodbkit.astrodb.Database.sql_query) we can pull out the values for various modelled parameters and visualize them together to get trends in the data. Lets take this example of comparing temperature to mass for objects with recorded modelled parameters for both. " ] }, { "cell_type": "code", - "execution_count": 52, - "id": "eb2babbb", + "execution_count": 160, + "id": "7d061705", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Found 2692 sources with both temperature and mass measurements\n", - "Temperature range: 437.0K - 3200.0K\n", - "Mass range: 0.09MJup - 166.44MJup\n" + "Found 2692 objects with values for both Temperature and Mass.\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -1599,79 +1148,36 @@ ], "source": [ "import pandas as pd\n", - "import numpy as np\n", - "\n", "import matplotlib.pyplot as plt\n", "\n", - "# Query to find sources that have both temperature and mass measurements\n", - "combined_params_query = \"\"\"\n", + "# Get data from database\n", + "query = \"\"\"\n", "SELECT \n", " s1.source, \n", " s1.value as temperature, \n", - " s2.value as mass,\n", - " s1.model as temp_model,\n", - " s2.model as mass_model,\n", - " s1.reference as temp_ref,\n", - " s2.reference as mass_ref\n", + " s2.value as mass\n", "FROM ModeledParameters s1\n", "JOIN ModeledParameters s2 ON s1.source = s2.source\n", "WHERE s1.parameter = 'T eff' AND s2.parameter = 'mass'\n", - "ORDER BY s1.value\n", "\"\"\"\n", "\n", - "# Execute the query and store results in a DataFrame\n", - "combined_params = db.sql_query(combined_params_query)\n", - "params_df = pd.DataFrame(combined_params, \n", - " columns=['Source', 'Temperature (K)', 'Mass (MJup)', \n", - " 'Temp_Model', 'Mass_Model', 'Temp_Ref', 'Mass_Ref'])\n", + "# Load data into a table\n", + "data = db.sql_query(query, fmt='pandas')\n", + "data.columns = ['Source', 'Temperature', 'Mass']\n", + "print(f\"Found {len(data)} objects with values for both Temperature and Mass.\")\n", "\n", - "# Display summary information\n", - "print(f\"Found {len(params_df)} sources with both temperature and mass measurements\")\n", - "print(f\"Temperature range: {params_df['Temperature (K)'].min():.1f}K - {params_df['Temperature (K)'].max():.1f}K\")\n", - "print(f\"Mass range: {params_df['Mass (MJup)'].min():.2f}MJup - {params_df['Mass (MJup)'].max():.2f}MJup\")\n", - "\n", - "# Create a scatter plot with custom styling\n", - "plt.figure(figsize=(12, 8))\n", - "\n", - "# Create a colormap for different references\n", - "unique_refs = params_df['Temp_Ref'].unique()\n", - "cmap = plt.cm.viridis\n", - "colors = {ref: cmap(i % cmap.N) for i, ref in enumerate(unique_refs)}\n", - "\n", - "# Plot each point with color based on reference\n", - "for ref in unique_refs:\n", - " subset = params_df[params_df['Temp_Ref'] == ref]\n", - " plt.scatter(subset['Temperature (K)'], subset['Mass (MJup)'], \n", - " label=ref, alpha=0.7, edgecolors='black', linewidths=0.5,\n", - " s=80, color=colors[ref])\n", - "\n", - "# Add logarithmic scale for mass\n", - "# plt.yscale('log')\n", - "\n", - "# Add labels and title\n", - "plt.xlabel('Effective Temperature (K)', fontsize=14)\n", - "plt.ylabel('Mass (Jupiter Masses)', fontsize=14)\n", - "plt.title('Mass vs. Temperature', fontsize=16)\n", + "# Make the plot\n", + "plt.figure(figsize=(10, 6))\n", + "plt.scatter(data['Temperature'], data['Mass'], alpha=0.7)\n", "\n", - "# Add grid and legend\n", - "plt.grid(True, alpha=0.3, linestyle='--')\n", - "plt.legend(title='Reference', loc='upper left', frameon=True, fontsize=10)\n", + "plt.xlabel('Temperature (K)')\n", + "plt.ylabel('Mass (Jupiter Masses)')\n", + "plt.title('Temperature vs Mass')\n", + "plt.grid(True, alpha=0.3)\n", "\n", - "# Show plot with improved formatting\n", - "plt.tight_layout()\n", "plt.show()" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "64957381", - "metadata": {}, - "outputs": [], - "source": [ - "## Use plotly or bokeh to make interactive plots" - ] - }, { "cell_type": "code", "execution_count": null, @@ -1687,14 +1193,6 @@ "metadata": {}, "outputs": [], "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d373ff54", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From a274f1fe1267d35ae94d59807e15b2e6e3f67068 Mon Sep 17 00:00:00 2001 From: canavarrete01 <100876091+canavarrete01@users.noreply.github.com> Date: Fri, 5 Sep 2025 13:47:29 -0400 Subject: [PATCH 06/11] Viz Demo ready for review --- VisualizingDemo.ipynb | 103 ++++++++++++++++++++++-------------------- 1 file changed, 54 insertions(+), 49 deletions(-) diff --git a/VisualizingDemo.ipynb b/VisualizingDemo.ipynb index 91e0d0171..54c798167 100644 --- a/VisualizingDemo.ipynb +++ b/VisualizingDemo.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 195, "id": "80b0998f", "metadata": {}, "outputs": [], @@ -54,7 +54,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 196, "id": "bf58d6a0", "metadata": {}, "outputs": [], @@ -99,7 +99,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 197, "id": "57abb8b5", "metadata": {}, "outputs": [], @@ -121,18 +121,10 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 198, "id": "ffb5f00c", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt', 'original_spectrum': None, 'local_spectrum': '$BDNYC_spectra/IRS/0415-0935 (LL2).txt', 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'Missing', 'observation_date': datetime.datetime(2005, 9, 6, 0, 0), 'comments': None, 'reference': 'PID3259', 'other_references': None}\n" - ] - } - ], + "outputs": [], "source": [ "results = db.inventory(\"2MASS J04151954-0935066\")" ] @@ -147,7 +139,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 199, "id": "d88e9426", "metadata": {}, "outputs": [ @@ -182,7 +174,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 200, "id": "95856ade", "metadata": {}, "outputs": [ @@ -192,7 +184,7 @@ "Text(0.5, 1.0, 'JWST NIRSpec Spectrum of 2MASS J04151954-0935066')" ] }, - "execution_count": 81, + "execution_count": 200, "metadata": {}, "output_type": "execute_result" }, @@ -215,7 +207,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 201, "id": "b4085d54", "metadata": {}, "outputs": [ @@ -225,7 +217,7 @@ "Text(0.5, 1.0, 'FIRE Spectrum of 2MASS J04151954-0935066')" ] }, - "execution_count": 82, + "execution_count": 201, "metadata": {}, "output_type": "execute_result" }, @@ -248,7 +240,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 202, "id": "04555395", "metadata": {}, "outputs": [ @@ -258,7 +250,7 @@ "Text(0.5, 1.0, 'AKARI Spectrum of 2MASS J04151954-0935066')" ] }, - "execution_count": 83, + "execution_count": 202, "metadata": {}, "output_type": "execute_result" }, @@ -289,7 +281,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 203, "id": "03d1c866", "metadata": {}, "outputs": [], @@ -303,7 +295,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 204, "id": "68f9176a", "metadata": {}, "outputs": [ @@ -339,7 +331,7 @@ }, { "cell_type": "code", - "execution_count": 146, + "execution_count": 205, "id": "8be90a1e", "metadata": {}, "outputs": [ @@ -412,7 +404,7 @@ }, { "cell_type": "code", - "execution_count": 193, + "execution_count": 206, "id": "595f56b9", "metadata": {}, "outputs": [ @@ -460,7 +452,7 @@ }, { "cell_type": "code", - "execution_count": 189, + "execution_count": 207, "id": "02aa555b", "metadata": {}, "outputs": [ @@ -640,7 +632,7 @@ "[213 rows x 7 columns]" ] }, - "execution_count": 189, + "execution_count": 207, "metadata": {}, "output_type": "execute_result" } @@ -651,7 +643,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 210, "id": "ca9414f5", "metadata": {}, "outputs": [ @@ -818,8 +810,6 @@ "name": "stderr", "output_type": "stream", "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n", "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", " Use Spectrum instead. [astrodbkit.spectra]\n" ] @@ -829,7 +819,21 @@ "output_type": "stream", "text": [ "Skipped 2MASS J23254530+4251488: W / (um m2)\n", - "Skipped 2MASS J23254530+4251488: W / (um m2)\n", + "Skipped 2MASS J23254530+4251488: W / (um m2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Skipped 2MASS J02572581-3105523: W / (um m2)\n", "Skipped 2MASS J02572581-3105523: W / (um m2)\n", "Skipped 2MASS J12545393-0122474: W / (um m2)\n", @@ -1022,16 +1026,13 @@ "text": [ "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", - "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", - "Skipped 2MASS J21481633+4003594: erg / (A s cm2)\n" + "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n", "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", " Use Spectrum instead. [astrodbkit.spectra]\n" ] @@ -1040,8 +1041,23 @@ "name": "stdout", "output_type": "stream", "text": [ + "Skipped 2MASS J21481633+4003594: erg / (A s cm2)\n", "Skipped 2MASS J21481633+4003594: W / (um m2)\n", - "Skipped 2MASS J15232263+3014562: W / (um m2)\n", + "Skipped 2MASS J15232263+3014562: W / (um m2)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", + " Use Spectrum instead. [astrodbkit.spectra]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Skipped 2MASS J15232263+3014562: W / (um m2)\n", "Skipped 2MASS J15261405+2043414: W / (um m2)\n", "Skipped 2MASS J15261405+2043414: W / (um m2)\n", @@ -1052,20 +1068,9 @@ "Skipped SIMP J013656.5+093347.3: W / (um m2)\n" ] }, - { - "ename": "AttributeError", - "evalue": "module 'matplotlib.pyplot' has no attribute 'label'", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mAttributeError\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[194]\u001b[39m\u001b[32m, line 32\u001b[39m\n\u001b[32m 30\u001b[39m plt.ylabel(\u001b[33m'\u001b[39m\u001b[33mFlux (erg/Å/s/cm²), Log Scale\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m 31\u001b[39m plt.title(\u001b[33m'\u001b[39m\u001b[33mSpectra with Compatible Units (T_eff 1100-1300K)\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m---> \u001b[39m\u001b[32m32\u001b[39m \u001b[43mplt\u001b[49m\u001b[43m.\u001b[49m\u001b[43mlabel\u001b[49m()\n\u001b[32m 33\u001b[39m plt.yscale(\u001b[33m'\u001b[39m\u001b[33mlog\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m 34\u001b[39m plt.xlim(\u001b[32m0.5\u001b[39m, \u001b[32m2.5\u001b[39m)\n", - "\u001b[31mAttributeError\u001b[39m: module 'matplotlib.pyplot' has no attribute 'label'" - ] - }, { "data": { - "image/png": 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", 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LuoPRTaPuQVcwZ7+7YoRdnQ9d7d+ewsJxNPi53m9/+9vFqUUn1tWcCUYu+dUMtd7Q0zFjMEPHDKFDpTN8jsfPOO+6e6/x2Mi9p5oofl8YNS56A5VUb3rTm6T9JR0ARptUrhvXsbv1j1+vq21r59oBBr/85S/l3Pvf//1fUfRc6ZwyXjPUWoqiKPH0vEqLoiiK0l6kicZEfPSXBgeLihnGF6XW8TLfriIw7BVNA4YTPhoWnKwxehsvie+MMXnsaZG1a4UF+NhPnbJWRg2vBxr57LXN6C8NfUbDafRRdk0lAGWzV4uY9ifcz5Sis5I2DTgWe+sKKjco82YU+Ur7nc8Zaom+orvzhbCIIWGxQFYIv1pBtr5ah86/3xXGfmJaAFNSrgdeN6xwTsO1KwOGDpv+ltDH89a3vlWWsrIyOa9ZYJJ/8zrpDuOcYlS+v6AqpCdjxmCGYwydcF1V5OdzvPaMjhtGIUI+H98twPgs058IHZdcegMdZzT2OxcDNNaBzhY6s6i04LjW3fpz21iYs/P6d5V6ZKx/Z7geTDHgsTYce//zP//TpXKJyoS+cgwrijL0UJegoijKNcJoNttHdTdJozHfOVpK6XW8EcCoJZ0EdB5wQkd5LiXEzIPuHKmjsWy0hTKqpO/cufOy32ZEyohEEU5ajQgQJeJXkmgbGJHizgZXV3L07qAxSkcI89/5r5FLT4cA863ZDrGnMn+mRBjbwEkto3l9AWsYUBZLlUZXMG2C+eKGKoDbxH3C1Ix49u3bJ/usrx0ZrLp/4cKFDs/xmDNtwjC8+bs9OU5GnQBjP+7Zs0dSRq4G1R6df58sW7as28/wNeb0c790hnn+rHJ+Nfgd3DamhnTnkLlajv210nkfUd5Nhw5rcbASO2GXAKosWFuD1+mVYE2Ea71urpWejhmDGY6Xb37zm7Fly5YOKhXuN9bDoMPFgM46GtKdazbwMb+HVe/7Ciq56PzsjNH9wnBwEa7j0aNHOxxrbgu3ietkXKNsQciuC12tv/E93cHt++1vfyu1XGj88xzsKvJvrAOdEYqiKJ1Rw19RFOU6YOsoSoDjJ180Fn7/+9/LpLFzbi+jVpyIG+9n4S3Kw+OLcnGiyYmbUZyLUBLPlm/MJSeM8rB9HSf7lH4asPDe8ePHOxhEnGQaxiNrERjRoivBCNvEiRPbVQuEMvI//elPPd433HbmRNP4iDfw+TfTBWhUG237rga3gdJy7g/mM3Nf9AXcTkb8Kdtl0b74NAZGm1nMkG0ZGU2N7xfOKDujfYYjgu+hM6av1suAxjMl/EYrOjpL6CiKLxDJlAoWUaQCxZB+09nSGTqK+BnjXGB6QHdGdTys62A4CM6fPy/OLjpDuHQHDTOe2//3f/8n14MBHTZ0svSkjz2NG64z6xXER0cp/2cRRRrkfe1o4XlGuI+odGB6CtN2eK5ynxqpB3yOx/9qKgteh0wp6e+2aj0ZMwY7RiFRthrkNnBf87riMeE11/nc4nlJ5xWhU4bXL99nRNb7Cp6v8c4v1ithYUeuV7yT4ROf+IScr1xnrju3gQ4iGuvcNgNj7F63bh1eeumldhUN38PxxhhruoP7iOMAU8ko/2cKQ2fjn2M1udI1qijKMGag2wooiqIkGsePH49+6Utfii5btkzah7Ht2ZgxY6ILFiyI/td//Vc0FAp12ZLu97//vbRlGjlyZHTKlCnRp59++rLv3rVrV/SOO+6IFhUVRefNmyetw5577rnL3vfKK6/Ia/xd/v4jjzwiLdfiYds/tqzj6/xdtpX61a9+FZ06daq0fBo1apS0WDNazsVv31133RXNz8+XFlOPPvpo9D3veY98hu/nb18No71gfEsxtjJk+73ObbfOnz8v38s2gFz4t9H6i+3kFi5cKPtrxowZ0RdffDF68OBBeY/NZotmZmZKSz3CNn5c52tZT67fBz7wATmO/Az31erVq7tsuUV+/OMfy3vZwo/77/3vf3+H/cf2b2x9yHXgv9/97nejr732mnw3n+P6vfWtb402Nzdfts21tbUdWuStXbtWjjGPIY/zE0880WFd2Frugx/8YLSwsFDOlTvvvDP61a9+tf23v/3tb3doDcZ2fNyHDz/8sLQne+973yvbwPfznOC5+/GPf7x9/dlCkG3KZs6cKfv5Xe96l7ROI8b683keB/69ZcuW9t/74x//GJ07d2507Nix8i+/h8etp5SXl0f/6Z/+SbZ98uTJsn1cuH719fUd3tv5nGZrO7YN7Lx/2e6R11b8OfLUU0+1t2VjG0SuL7+Lx9G4hu65557284P/fuQjH4k2NjZedRu4/mxj2BVHjhxp33/GunD/Xw9XGzO+//3vX3bNv/HGG9IGM/685N9Ga8zuYLtQvs/4PuNzbE/aGT7H14z9zc/wcXzL0fj9wTGHx3rixIlyjbCNaFewPSPPY56XHBe+853vtLcevRq8VrkOxnZz//NvtjCNh+fqv/zLv8hv8Le4TrwuPvzhD0crKiou+16uK9eZ7+M2cFu4TV3Bc4rHid/N93/mM5/p0P7U4/Fctt/i2zVyW3nt8jV+nteEAcdWnguKoihdYeL/Btr5oCiKMpQxotvxMnxF6Y73vve9cq4YsmIlMaFShd0WqAxi5w9F6U+oLqGihiqVzh05FEVRiEr9FUVRFEVR+hjWYnjhhRfwz//8z+3pGIrSHzDlgbUSmGqmRr+iKN2hVf0VRVEURVH6geXLl0vNCBb3VJT+gvU92EGFtUsURVG6Q6X+iqIo/QSLbL3tbW+TFnlkwoQJUvCur1u/KUMDtvRilXYW0mMRuWnTpuGnP/3pFavoK0MTFkNksbvuYKG7K7UTVBRFUZTOqOGvKIqiKIqiKIqiKEMYzfFXFEVRFEVRFEVRlCGMGv6KoiiKoiiKoiiKMoTR4n59QCQSQXl5ueTcmUymgV4dRVEURVEURVEUZYgTjUalRlBhYSHM5ivH9NXw7wNo9I8aNWqgV0NRFEVRFEVRFEUZZpSVlWHkyJFXfI8a/n0AI/3GDk9LS+t3dUFNTQ1yc3Ov6tVRBg49TomBHqfEQI9T4qDHKjHQ45QY6HFKHPRYJQaRIXicmpubJQBt2KNXQg3/PsCQ99PovxGGv8/nk98ZKifsUESPU2Kgxykx0OOUOOixSgz0OCUGepwSBz1WiUFkCB+nnqSbD60tVhRFURRFURRFURRl+Br+Z8+exUMPPYRHH320y9cp/SgqKsLPf/7zG75uiqIoiqIoiqIoitIfDCvDf8eOHbjrrru6rYj4pS99CQsWLLjh66UoiqIoiqIoiqIow8LwDwQC+NznPger1YqSkpLLXn/22WexcOFC3Hzzzbj11ltx5MiRa/r+t7/97XA4HF2+9oMf/ADvfve7kZmZed3rryiKoiiKoiiKoiiDjUFT3I+GPg3zSZMmIRwOX/b6zp078dhjj2HPnj2YOHEifvvb3+LOO+/EsWPH2qsYMlofCoUu++zLL78svQ2vpATw+/1Yvnw5fvGLX/TxlimKoiiKoiiKoijKwDFoDH+3243f/e53uHDhghj1nfnOd76De++9V4x+8q53vQuf+cxn8OSTT+KjH/2oPLd79+7r+u3nn38eKSkp8huHDh1CU1OTVHt8xzve0cutUhRFURRFURRFUZSBZdAY/jNmzJB/afh3xauvvop/+7d/a3/MFgzz58/H+vXr2w3/6+Vb3/pW+9/Hjx/HkiVLrmj0Ux3AJb5/otEigkt/wu9nPYL+/h2ld+hxSgz0OCUGepwSBz1WiYEep8RAj1PioMcqMYgMweN0LdsyaAz/K1FXVyfGdX5+fofnCwoKsGvXrh5/z0svvYQXXngBp06dwo9+9CN87GMf6/A61QMHDx5EQ0ODKAtWrVrV5fd8+9vfxte+9rUuuwKwN2R/H1wqEnjSDrX+k0MJPU6JgR6nxECPU+Kgxyox0OOUGOhxShz0WCUGkSF4nFpaWoaW4e/xeOTfzoX5+Nh4rScwVYBLd7z3ve+V5Wp8/vOfxyc+8Yn2x3RKjBo1Crm5uZIi0N8nrMlkkt8aKifsUESPU2Kgxykx0OOUOOixSgz0OCUGepwSBz1WiUFkCB4np9M5tAz/pKQk+TdeXm88Nl67kdDh0FV3AJ5AN+Ik4gl7o35LuX70OCUGepwSAz1OiYMeq8RAj1NioMcpcdBjlRiYhthxupbtSIgtzs7ORnp6Oqqqqjo8X1lZiXHjxg3YeimKoiiKoiiKoijKYCchDH9y2223SSs/A+Zm7N27F6tXrx7Q9VIURVEURVEURVGUwUzCGP6f+9znpDjf6dOn5fEf/vAHWCwWPPbYYwO9aoqiKIqiKIqiKIoyaBk0Of6BQAB33HEHGhsb5fGjjz4qBfOeeuopebxo0SKpus/nXS6X5DOsXbsWqampA7bOTzzxhCzhcHjA1kFRFEVRFEVRFEVREsLwt9vt2Lhx4xXf89BDD8kyWHj88cdlYVV/1iBQFEVRFEVRFEVRlMFGwkj9FUVRFEVRFEVRFEW5dtTwVxRFURRFURRFUZQhjBr+iqIoiqIoiqIoijKEUcNfURRFURRFURRFUYYwavj3Alb0nzZtGhYuXDjQq6IoiqIoiqIoiqIoXaKGfy9gRf+jR49i165dA70qiqIoiqIoiqIoitIlavgriqIoiqIoiqIoyhBGDX9FURRFURRFURRFGcKo4a8oiqIoiqIoiqIoQxg1/BVFURRFGdbU1NRg27ZtqKysHOhVURRFUZR+wdo/X6soiqIoijI4aWxsxIULF2A2m+F2u3H69Gl5vrS0FEuXLsXo0aMHehUVRVEUpU9Rw7+X7fy4hMPhgV4VRVEURVG6oLm5GcePH0ddXR3S0tIQjUZx/vz5y97H1/jeLVu2yL9s12uxWAZknRVFURSlr1HDv5ft/LhwgpCenj7Qq6MoiqIoQxq/3y9GO6P1dLrTMDeZTIhEIvK3w+GQv1taWuD1euVvn8/X/vmGhob2vwsLC2G328URMG7cOOTn52P37t0S/T906BBKSkqQlJQk6oCUlBSMHTtW3pOcnAyrVadPiqIoSmKhdy5FURRFUQY1NM5PnTqFvXv3ijF/rdDIHzNmjMj66TygEZ+VlXXZ+xYuXIjc3Fz5HToPuBB+hooBgxEjRmDRokXiBFAURVGUREANf0VRFEVRBg2M0NPIppKOhjUj7kePHpX8e5KRkSE5+IzCh0IheY5RfyoAaKDz79TUVInWGyoA/t0T+Fk6BYqKinDu3DmJ7HM9amtrRWnAdeFvVlRU4OWXX8aCBQvEocDPKYqiKMpgRg1/RVEURVEGPKLf2tqKs2fPSj6+YdDT8I437ufMmYMpU6b0u6HNFIDJkye3P87JyZHf5XoyvW/79u3inGAnACoR6ADoSkGgKIqiKIMFNfwVRVEURbkhNDU1YfPmzWJAFxcXw2azSQs9RtSDwWD7+xihZ44+jX5G7fPy8jB9+nT5dyChw4EKgNWrV4uD4vDhw7Lur7zyCm699VYUFBQM6PopiqIoSneo4a8oiqIoSq8xJPAsvEeDnhHw+Mh8TU0NXn/9dQQCAXlMozkettbLzMzE1KlTMWrUKPk+5tiz2v5gK6ZHZwQdEUwLYPSfzgtu24oVK6QAoKIoiqIMNgbXnTTB0HZ+iqIoynCH0nca8cyB5/2Qhj0l+8yz50Kjne9htJ9kZ2dj4sSJ4iBgoT4aylwYSY9vn2c4DwYzVCbccsst2LRpkzg9NmzYIG0A6RTQVoCKoijKYEIN/16g7fwURVGU4QoN/H379uHMmTPtz7EYHyP0zNdnBX0u8YwcORJLly4Vo54t9IYCdGzcfPPN2Lp1qzgz6AQ5ceKE7Ad2CJgxY4bUDFAURVGUgUQNf0VRlASF0VXKo7WiuNIf0Ihl4Trm1VPSzug8o/aU4PPcY697GviEVfAZ5aZUn5J+/svid6zQTwcBK/Az0u9yuTAUMYx/qh727NnT3pmAC59j8T/uI71WFUVRlIFCDX9FUZRBBouFnT59WoqbsT0ZjSa2LzOMKRpWXBoaGiTCSqOMfcXpBIhfaGRwYf4xv4/GyIQJE6Ra+WDLmVYGDzTq9+/fL1FrQgn7gQMHunwvzz9G8I2ie3QOEEb0CwsLMZzgtcbrlKoGKgHZ+o/OEaoe3njjDVEGMg1A2/8piqIoA4HO/BRFUQYJNORpcNHQiqe+vl6ihl3BiCulxZ0LpXUHDTgadJQg02ijkTLQldKVwQOj8zRSq6ur5TGdSiywR2cUnUmUr1O2zqr8zL+fNWuWGPnKJZjbTycdFxYp5LV58uRJUUuw/V9JSQkWL14s9QEURVEU5Uahhr+iKMoAwyjp0aNHJTpIg4rRQEYFWfCMRhaNsNLSUlEA0Jig0c6FhhcVAOfOnZMIIz/L7zIW4zELrDGf2uFwiBFCZ0FZWZn8NluSsdAa+6OrATe8obqExenoaKIiZNmyZeIYIlSL8PzQgnXXBvcjry1G+mn88/qjY+/FF1+Ua3zSpEnIyMgY6NVUlCED24JSbUNnJe91HLt4L+TYRccl042MwqG8px48eFA+w1achlKODk8q7fh5OsurqqrgdDpFWTdz5kwdB5WERQ1/RVGUQRRhpaE1d+5cMdYNjOdoxHeecPB9NCB6Ct9L6T/lx3QaMPrIPG5ObO688041/ocJFy9elAkv8/V5DvE8pMHPc4zOppUrV0pOvgEnvcr1w33KIn9UADDqz33N9BsWRly0aBHGjx8/0KuoKIMSGu68X9Fgp/OaRjydZ1TI8X7I1CSjkCgXOjCvB16TBnTQURFHw5+/R+gk4G/yXs16HVwvPmfUMaFyjo4DOvHpSOD68jk66+mY57rTmc9/O2N0B1OHgtLfqOGvKIoyQHBysHHjRolMMDLIAmCMNHSV/8vn+mJSwO/gpMWAv8dq5JyY0AnA6L8y9KBcnxNSnkecrNLwj3/NgE4AtqfTTjX9A/crHWx0tFFtU15ejh07dsDj8YhjQHP/FSUGU2PonORYZdQO6Sl0VObk5Mj1RkObBjnvt7zP0VCnc4BGPI16quFooLNuDt/H9/D6NDqS8DUWLuW4ycKdvF9z6Qy/jw4AOvmM65gFUjtDpQGVA3QC0jnAMYApfoROQKM2Snf3e64H9w2dCDpeKNeKGv6KoigDACchr7/+ukwgGGVftWrVgPQs5wSEk5q9e/dKBFIN/6EHJ82bN2+WiWk8U6ZMkUkmDX9OMpk+QnmrTib7F+5fyoo5caeM2EjzYRSTE3+V/ivDDUbReS/kdcHaF2fPnhWj3zD4acjTWDei7xyn+F5DBcfHjNDzXy49aZ/JezAj7YaaKb69KFMF+Ht0hMbX4uAYeeTIEVkPGu38LBde07x/0nnA4rl0OtBxQKcFVQNGi1M6Fags4MLv6cymTZvkXzog6HDgNlJ5xW3jZ/kb/E7+Pn+DwQIqCnTMVnqKGv6Koig3GKPKNycXNPopqx4Ioz8+6s+IAw1Dyv/jJd5K4sPcch5bnms09jlpZPqIcc5xcqnceDhZZ/4/DRU63mj4/P3vf5d6AHTGaecNZSjA8YYRap7PNGAJH9OApXHN+2FXkXHDMc1rhMYtjXwa6kY6Um+NXY6H3aW2ded8oyNgyZIlXb7GCD4dGIbkn0ydOrXDe6jsYaodt52RfsPxwPdxXxw7dqy9Ng/fx6Ur+P0cL9asWdMhdYBjieGsoGPDqO/D/cXvZ5Fgfj+3T4v6Dk/0rtILnnjiCVmM3BxFUZSrQcOa8n7ehHnDv/XWWwfc0ObEobi4WKT+jCgM9PoofQcn1UYrPtaJYDtHZXDBY0IDZ/fu3WIQMBLIYp6M/qtTRklkaHzu3LlTzmdC498oPtsZGqI0ZvkaDX2qz1j7wjDwjTa1iQwNchriXLidRstdAzr8+DznBxwLuD+oDqC8n/uOTnruE/69b9++dueJAf/mHCMeKieoOKBigDVdDHg/oOOD9QyYEsH6P/x+ZWijhn8vePzxx2XhxaT5kIqiXA1GOVg1nXmA9LjT6DciIAMNJxM0/DlBmzdvnhb5S3AY2TGkp3ROU6KqBeQGLxwHOB6w2wYdAHTYvPbaazIRp5xXr0clEWA0mVFqtoylAcqxh8amYeAahicNeDq1OHfm83Q8U4FERwEN364K4A01unJiGNc5t5/GuoGR4hDvJLj55ptlf1I5yHQHvofjBlO3WMeAz1FJYaQXEM47GHDgMaLKz/heKhGYasR9r/eJoY0a/oqiKDcA5vcZRj8j6rfddtugmswz2mJEBWg06s0/cWHE2IjyE8o92Tde80AHP5QLG7n/7LbBVp00oJYuXdpe1VwrfysDCY1E5uDTiKRDkeck7xs8V+k85r0uHhqaN910k9z3+BrPXz7XVSrLYLonDia6G7u5D5nrb9A5ZXD27NmS5kXFAPctjxfZsmWL3OcNxRG/n+PNrl275Liq6m/oooa/oijKdUJvOSc8jKoyYke57pUK+XHCRCOMkb3BNsHhjX/06NFSZIy5h2r4J+b5yCgO80QJe8RTLkuHjhr9iQPzcRcuXCjXIyfoHGPWrl0rr9H4Z00QLQCoDASUkr/66qsdOoHQ+IyXkPMxpexUqxh5/YaRr+rYGwvH/a7qB9ERTMUBawLMnDlTnuP8hKkDnAOsWLFiANZWuRGo4a8oinINhhWluIx28CbJ6AWNegPmyHHCHm/U8zPs2005HqMcnLQP1p7olF7yps9WRlxvNRYTB0o7eZ5Rrmnkb3YuLKUkFlTh3H333dLuz5DhMnLHwqBsCTgc5NDK4IEOKJ6LNPp5D+N9jn8bRj8d3zT2WThUC1MObnjsli1bdpk6gIY/0wA4rxlswQmlb9ArU1EUpQcwd465t4yGx0PZIgsRsQgPZY40mhnh4E2TkVbeQJlnR+86+6PTwz5YYWSAEzamI1AeOJCdBpSenZN0QtGpRNUJo3E8H1kUTos0DQ2MAqCGc4eRfx53KgEYlUv0YmfK4IXn2ZkzZ2RsoaPb6GvPextT1ag64f2Nr9EJNVgd2krPoBqD8xMeZzoaWXdBGXqo4a8oinIFWJzo+PHjUvmWf3OizZZojMZRdkvjnsYW2/hs3bpVJkGMyhEj+kqoBIjPxRuMcDu4XXRu0IGhhv/ghAY+z0fmZMZXx2YayfLly8URpQw9aFjRebhu3TqJyrGWgyHTVZS+gsY8K8azOGg8VIAxqs9zzkg1oRNA5ftDAx5fqjU432GwQg3/oYka/oqiKN1AKT9b77EaP2HRLVbY7mqiQ4P53nvvlcg/J06MmvNzlEfyc4mSM891peFPw0Kl4oMPSmtZJNKIvvF4FRUVyTnJwk0qsR3a0KlDRQfTOpiWw3GH54Ci9AVUejGVxCjQx/QvprBRxcYxRqP6QxvD8Kfkn4EOLSQ69NAZgqIoShfQsGIRI06AKGNkiztOgK6U987oR3cF/hIFo284FQx64x8cMIeWDiQa/Xv27BHJNyfiNAAT/XxTrh2mcdAxxyrqmzdvxrRp06SYmub8Kz29t9FpxDGEjiM6DDnO02lNRzed1nxtyZIl6lQaZlCVyHGEqjKmkbE4rDK0UMNfURSlEzSwaPRTts+ct1WrVslEaDhACadx42cbMU4MlYGDqhH2czfSR4yoL/O+k5KSBnTdlIGDyiP25ub5QVk2Uz94Tuj1qnQFHdh05HLMYESfdUHiu0jw/sZov2H8sX4En1eGF0xlnDFjhjiY2SGG6WM8b/gvzxkGBHgvYvFfnktUBQ6XudFQQQ1/RVGUbox+3uxo9A8nA4uKBkZ52OOXUUU1JAYOnoOU9Rs9mHk+su7CnDlzdFI+zOH5wMr+LCh64sQJcQDwXGENAFWBdA8NFqZiUTXDcX04pMbQYHvllVdku2mkGSo2niesQ0MnL6P8hGlDrPauFd2HL4zyM9pPRxCdzleCSjQqz44ePYrCwkJJFehqTkWHAdWETBXhtcfFUBSyThLvcRzDeE4Oh2tyING92wueeOIJWXjyKooydOT9w9XoNzAMf96slYGBk3Eacsa5ePvtt2t+rdIBTpAnTJggKUibNm0SI45SbTqGWIBU23F2hIYM29FRKUHoPKORS4NlKGEU/OTxN9o/Gm1nafTzeRYB5TjP97KQKw1/o2CtMrxh1H/x4sUyF+LfPCdo4PNfOoZ4PyJUGjE4wGKjNORZDJJpSHQEGCmCfJ1jU3zb4ytBxzbHLn4fv0vTl/oeNfx7weOPPy4LLwitaqooiY0a/ZcwovyU+mue/42Hk3VGWhgB4WRr5cqVavQrV3QAMNK/fft2lJaWyoScBTqnT58uxt1wdwDQqD127JgshlFMg4bP01Eyd+7cIVHIlMYVI68szmZ0oDG2l5H+m266SRy6lPIbuft8jypElK4M8Icffrh97KBSpvM4wvsUzzca6VSI8Pxj3RE61HhOUYlkdDbifcxIV+P38DHnFYb6hs/xMZ1y7I5E2EqS9z6+l8/zdaYi8r5IpRMdeUxL4Pnc1fopXaOGv6IowwZOguL7XhsF03ijolea0ZDhbvQTSu+4Tzgxpkw0Ozt7oFdpWDmgGOnneckJD/tls86EolwJTooZvabTbu/evRLF5cJrlwbfcD2HaCDs3r27XcpOKTLrIzCSyOdpXNBRwgKaidoakVFVtvbkv/GRVcPo5z3t5ptvFqNpsLeUVQYP8YZ0V0Y1i4ry+uK1xTkT710sNkqDn4sBFUlUAdAZRQOd117899Hw5/jF7+E1SQcBAzA08P/2t7/J+w2nARUHdGrye4zgxKhRo8Shxet38uTJ/bxXEh81/BVFGfLwRsHJMI0pTvwY7eANq6amRm42NHJ5IzIK+Q1no59wX9BgoLeelZ7V8L8xMLWCDijK/Bmho9FvyCoVpSfXLfNzmUvLqC/zdDkxXrNmjUyKqQzg+cQq7pyEs1c3J9BXi/jSmORnEymiZkS/jxw50u7MnD17toz/xnZQzswx/8CBA1LlnvuC+ymRtpPHl6qF+Mg+O9DwGNOZQaNJ8/WV/oDzprvvvlvOPTqpqRKgcobKGgZYOBZNmjSp/R7WXe6+oWbjecoCpYROhNdff12Mfxr9hnqFbQYJ03PoHGBggikGhAUJed1T6WQoD3i98xrhwu8fNWpUe/CHv8H1Hm7Xhxr+iqIMWTi5Zb9reoMNysrKZCG8AXDQ50SPNy1GRYa70W/AiaNh+KsXvf+gscF9zHOUUTtObli1n9JtrZasXA+caC9cuFAicozAcdLLSbEBzy9G2Thp5jl3zz33dJmuyInxwYMHxUk6evRoURTQWbBr1y5RFlBmyyjyYLqWOOGnwU81lwH3w6xZszqovQxoJHD8ZwVzdkYgVzP+B0v6E42cLVu2yJhB5w3Xm/exrrZTUfqDzjn4dK5x7sDxpDdOazrkOC5xDKIS0whEUKEzfvx4FBcXi+HP9Ezj/KcDgOMVxyijjgfnLvHqg5KSEsyfP1+udSqi+DurV68eVvdaNfwVRRmycAJIg4qTON4AeLNgDiwNLd4oeAOhCsDoY6xcwpCEUhWh9A80TjhxN9poEZ6j7J+tlY2V3sLJLCe1jHrT+DdUJTzfDKksJ807d+6U9xnGLp0C/IzhiCIcNxlBo4qAhi/HVS4swMVigjQA+N4bdd5y/RkJ5G/SWUtVFyfzxoSfMJrHdeM6Xgk6BrjtRltEfjcdBV0Z/9yPTMWhgoCOkL5OoeC+pWOa9yX+zQhlVzCaz7GDhhG3n+uihdCUgYZOp64q+18PvP7oPDAcCLw3cjHgeX/vvffK+4z38hqOHwMMo5/zGY57FRUVeOGFF9qVnnQqsJ7OHXfcMWyuH51ZKIoyJOHgb0Rwli5dKnlmJD7HkZNGTrASSdp5ozDk/fSqc1ElRN/CyAMNLk7gaSxxssRJDXMY9XxU+go6NGnEGjCNhFFxTtC5UAlA5x6dpBwjeV7ybyNXnGlRjCJTvktHAGG0n5NkGqj8LjoFOJbyvKVShedwf8DJOqN5NPK5zkbebzy8lqhEGDdu3DUVxKREmevPlDA6PXhdctt5f6Cxz/1IRzELj3E96DxmCgWVFbxur/WapXOFv8WxlWoKLlSfUaFhyJkJ18VQpnEM5jjBfc/jxPXia2r0K8OVeHULr2FeJzT26czjv5wHMsjDFAJG+F9//XUZq6hUYlFPKn14jTPdh3UIhgNq+CuKMmjh5IoeXEpSGWGhRJU5Y1eTl3LSxgrXjNwwYsJJlXJt8AbK/cx9z+MQ72lXeoYRVY03Cnhu8pyON6I4cVfHinIjoIHIdlmc/DL6T3k4J7+c+HIx4FjLaDknzTyPGRljhJ8qAqZE8Xs4LrAYlxFh4/uYBkCDua8j/4zWcdJOQ9nAiPRxWzheMaeYyq7rbUnH/UJokHcuUEbo5CCMLPL3uN2MurOeAtsqUt5M44IOCV7P3FdGRXI6KuiI4GfpfKFkmcY/4XHgvqdTmk4NGjN0wtD5QkcH38dtNIqtGjBiSUeL0YVFUYY7vA65EDogGeHnv0b3ije96U3yGmsH8Lrhdbp+/XpJE6BjL76eEd/D1AE+x7GFzj9+X6J3wlDDX1GUQQUnj5wIcSBmJMnAKNBi9IplFKtzXhY/y8kpDStOEDk5ZURGI6jXB1Mg1PC/Pngusr4Eo3c0RrjwvKYKxZD2M7+Yhpfm5CoDBR2pNCgNeTnHVI6tNDyNcZP/Mv2Ek10uRnSZhuqdd94pcnO+hxNojruMUjPXt7cYzgkuNK7pNOP6cfxnAUMjn52GNtepL5wNNP5p1PP3ONGnYcCJP8dAXst8jo4PSvypjKASwrg3XSt0ZhsqC6b90Og3ig4a6Ql0uPA+yO2lIWJUNKcTgceO36EoyuXQMdY56ONyudrTlwiNf+MaXLdunYxpHON4nfNeTecbx0Y6ADgu0GlHWHiX12QiYooaIQnluuGATU8vB+X+HoSNGyFPVp0sDl70OF07HIo4wWHkg5MdA06AOMExJkDxhfn4PCdqnJxx0krpNCMuhM9R4m/0K+4KPU5XhhEuGq+c+HKCP1Ak4nGiUcBIancTEkb5WZl4qJGIx2o40tVx6m31fo7N7ErB76OjkIY5DXKOxXQiXsv5QAcCZe80uA04li9fvnzAZO2M3HPyH1+0jOvJ6D0j83SAGIXN+DzvWXRK0FlBY4IOFr6HRjvniowwcn/zWHCspcKAhgodggZ6PSUOeqwS8zh5vV688cYbXTrvOIYZ1y3h2Mi5Kq9pFh/kfJMdQdgilNd+ItihGvFXFEWghInGCo0RTkhonBiTQRrVRhElTlr6+qbGSRKl+exDTDi54sSRki1DesV/+RwngnQOcMBlVIYLoy8cvI1qy8zvYr6XFkjrHUY9BEaojVx05erw3DRk05QI8trixIEGC68tOqxU2q8MNnrb1or550ytogOAETQu8ZE2vs4oGc99Rs6YStT5OuA4btQZ4Hs45lCqS6OfTuCBLMJKI6AzXH+qdrhcL7yfclzgoijKjcXlcklgg/Nc3qt5/6aBT0Oa80iOObx/c2yi04/KADr1duzYIe/lOEUnJVsbXktdkYFCZ3GKokj+IT2eNJwNDyYNfxp79HZ2HiSZV9hXvd3pPWXBJHpgOcAy2sEofndGJo1Ryqw4QHM96aU1vLGcVFLar73P+wY6VOjZ5k2O50V/Fe0aKvB6OXnypEideV5TQshIAJ1mPEe5P7V7hDJU4WT5pptukrGC4zmjUHQcM1LOSTPrWhi1LQyj+f7772+/Jvgaiw0aUlzWGWCEX8dzRVH6m9S2DgJ0zHf3GmHaE9sIxreJ5vjG7gB09LOw6GC+z6vhryjDGE7KOEGjnJtGP6VKNPQpF6IRY8BIJQcyDm5c2M7o9ttv77L3M+FnafzQOOdnafBwMO3q/cybNIz+u+66q9vv7DzBpDKBi1FhmVETRoU0n7/vMPYzJ+Q8Tmr4dw+lvix0ZhQfo2PMqC/Bc7sn57WiJDpG4av44le8t/BeYETTeN/huM1rheMKVQLMp6Uj17h2OHlmhF9VRoqiDCby8/Mxb948KQJK5s+fLwo/1kNicVOm7dBhOVhVfTqiKsowhUYKDTqjzAcnWytXrhQjxejzzEkXI/zxsn96NRll578s4ERjMD7nkq9Rtk/nQTzMg6Qc0shr5O/wN4w8aBY/ux7jiOs2FHOlBws8vobhz+M1XB0rvCaMfOV4KPNjbQmj9gRfN4qjaZ6nosRaClLmH9/fm+M+5fy8L9AJYBj9bMXH+8RwHWcURRn8TJ48WcYozmU5p+XYxhpUDHgxEMUOJAxkdR7HGDjjPHogi3Kq4d8LnnjiCVnozVaURIKVgSlJNgwVSuTZ09SIrnSVy2jkgK5YsQKvvPKKyDhp4HNg4/spweeAZxRIoZFExwBfpySK0Z74llF0KHDw4/fQeGdevjL4YAEcnhe8YdH47e7cGMoYhfpowLDFGdUrPK+pbOENnuc9HzMfkIaLRikV5cpwsszrivcFppoROsx4/SiKogxmTCaTGP8GTInkHJYOgDVr1shciTWrOiufjPoAVAkY84gbjc5OesHjjz8ui1FNUVEGM4yq0HDhQBMfZecAdC3QoF+9erU4Dihvprwpvp0Rv5+ViSmFMgqdULZJ+RONfhqQxEgbIJzsGaoCZXBBI5aOIR5rRv2Hk+FPhQPb+NCLb9y4mYPMc5l1KLhPaPTTIca6E31V90JRhjrMl6VkltJ/OtCYZqbOX0VREpm0tDSZ73J+zMLT8YY/509GxyrOI6gIZE2AG40a/ooyDGBxJfZYpoHCgYjGOv++3ugKDXpGZ7iwaBlz9Gn4Uz3AQY/R/HjoDODzXFi4iRM9vp/RHr42EIOfcm1yf8Pw70316kSCDl2mwxidJqhe4TVDpxmvJxakJLx5s6+3Gv2Kcm2wawsNfzqkWTBLU2MURUl0Jk+eLIY/57ecJzB4wsVoTWoUTGZqAANe7A7A8Y9dq24EavgryjCAUUsa21zOnj0rz9Ho74t+yCzcx4VGfU/g5I6DXecCUMrgxaihQIOXBbn6umgNz0neBHkzZFR98eLFojIYCJh/xwg/vfV0UvF8pSrGcE5Rynf69GnJTfb5fAO6roqSyHCiS9UXq/dr5X5FUYYCqamp4tTkPCG+pakBi/5u3LhRgl9UFXJevm/fPgmw3IhuAGr4K8oQh/mTzOlnZJ1SShZqo8exq5YlitIVVHAwos0blVGksS8j6/R4G0UmCXvisq/ujTYGeJ2wUJ9RmZ8ODxr98ethFO+j44xOgr5wninKcIT3JKbMKIqiDCUWLlwoBX4NVSvVksz7ZwcTBrwY/GL6rVHfhEEPOgk456AKiq9TWcv5FtOg+F19hRr+ijJEoQSf3kOjWjJbI1GuTKOFRpbKKpVrgRP0LVu2SCScTqPeGLyM6huebdZ94PnIIoLTp08XdQodDJs2bZKWkZTX3wh44+Vvct3oGKPBTw98d8V3eP2o0a8oiqIoSjycN3BOw4VwbkOpP2sk8TUWw2agIR4GQLqCwTqqC+kUYBCitwUB1fBXlCEGZUOsts9K+vFGipHPz0FDWyUp1yPLpQSe9SFYjZtdIK5X1s+oOm9idEYZbfAWLFiAjIwMKY6zdu1a+R32yaWU/kZABxmNft6QWahPK/MriqIoitJbGOhgMVMDRvENw5/FsJlG2dLSIo+Z+kRDn2lQdBTwNc6FuDAYwZpCvQnc6cxGUYYANFgoI2JP8cOHD7dX2I8vNsI8fEW5XugsomKE7etYuIbn1LXm+vO8pNHP3HkWC+RitPai0U8Ybb/pppvw6quvSvV8phUY3SH6C147Ru0LdqNQo19RFEVRlP6Ahr8B5f/Lli2ToB2hypEqSEMZyTk9Jf90BDBlgAWGOU8xiE+T7Ak6u1GUBIf5yBs2bEBTU1P7c8wPoleQgwvzkLVVntIXMErPiDgla/Q+00DvqXqETinm7tPoZzE8erQZ1eeNrXPNAHrGee4y/41OBqan9Be8aRrtLXkD5vYpiqIoiqL0B4zkM1XQmA9xHhWf1sjHRgCC8yMuLIBspFsyQGJ0D2C6JNWTPUUNf0VJYJiXzMgo8/k5aBgV9hmZpWSaaB6y0lfwZkRP8yuvvCKpJIzS96QlJI1+KgV4vvL8XL58uRj8jLKnp6d3qRyYOnWqGP7MbzP6e9OJdezYMUkP4I3wegve0JPOhYUF6cCgI8NQNCiKoiiKovQXNOpZwJiBh54G5pgSwDkL0xL37NkjikimARDWRurxb1/3WiuKMmBQ8kNPH40iVgal92/VqlUq51f6HUbEWbGWkn3ebOhgulL/Wd6oaPQzf43OKRr9xo3OaJHXFcxlYyEbfo6/Q2ULHQF0IpBt27bJzZPt9XoKb7Jsm3PixIkO8jg6IejQMJxliqIoiqIo/cX1zNcZaGFKAAMghtHPwInRiagnqOGvKAkEjR5e8DRcGLEkjJiuWLFCjH9FuRGwRy1l+nQ+UXrG8zLeiOdjys8qKytFjWLcnHieGrn8V4MReErZdu/eLec7HVx0GNA4p0OAhXGYOsBquVS1MDWARXGuZvRTJhf/G3RazJkzR68fRVEURVEGLZyzsLAyo/8MinDewnnR008/3ePvUMNfURIERk4psTYinuyrTjk0I57amk+50TBCTmOcvWd37doljgAa0GTjxo0dCkwyZ5/Fa1wu1zX9xrhx43D69GnxZjMnjm0EKe/nzY+t91joxmhXSViNn/lynQ1+rhu/hwoZsmjRIvkeXjd67SiKoiiKkihwPsTF4Erqyc6o4a8oCQBzm9944w0x+hnxpIF1pR7jitLf0GBeunSpnI+U4tOoZpV+GveUoNELvWTJEonEX2+dCUr577nnHlG3UObPnriGoc7CglQC0CHGhY4Gqg/uvvtuURewngBz4FhHwFAdGA4LKhYURVEURVESHaMOUk9Qw19RBjmMWDKfmsYNjSrm8l9r5FRR+gM6nphzRok9i83QwGb9CRrsK1euFFVKX/1OZ/gblPkT5rytW7dOIvuvvfaa5OyzRZ8BH1MJQAUBK/criqIoiqIMBeI7AlwNNfwVZZAb/aw6zjYeNH5YGE2NfmWwQfUJDWvm/DP3nu33+sro7wl0ArB95Zo1a8RBZkCFgGHsX8uNUVEURVEUZaihhr+iDFLY33PHjh0iVyYLFiwQ2bSiDEYYVWfNCS4DAQv+sXggW/0x9411BdRJpiiKoiiKEkMNf0UZxPJ+Gv2M9DNXeuzYsQO9WooyqKFjTJ1jiqIoiqIol6OGv6IMQlipnEXJCOX9mpesKIqiKIqiKMr1on2MFGWQwfZohw8fbm87pka/oiiKoiiKoii9QQ1/RRlEsG3ZgQMH2ttzaNsxRVEURVEURVF6ixr+veCJJ54Q42zhwoUDvSrKDcTv90v7sP6A1fvZf5x9z9kmTVEURVEURVEUpbeo4d8LHn/8cRw9ehS7du0a6FVRbhC1tbV47rnnsHHjRinA19dV/I8cOSJ/szI6W5QpiqIoiqIoiqL0FjX8FaWHBAIBbN26VeT41dXVqKqq6tPvPnjwIFpaWmC32zFx4sQ++25FURRFURRFUYY3GlJUlB7g9Xqxd+9euN3u9ueOHTuGgoKCXhn65eXl0q6P32+kDzB9xGaz9dm6K4qiKIqiKIoyvFHDX1Guks//+uuvi8TfYOnSpdi2bRsqKirQ2NiIjIyMa/pOfm779u1i7MeTnp6OyZMnY/z48X22/oqiKIqiKIqiKGr4K8oVYFTeMPozMzMxZcoUjB07FhcuXEBZWRn27duHxYsXIykpqceR/s2bNyMYDCI1NRVz5syB0+mExWKR72f0X1EURVEURVEUpS9Rw19RuqGpqQmnT5+Wv2+77bYOsn7K8Wn4M3r/t7/9DfPmzcOkSZOu+p38Phr9aWlpuOuuu7SAn6IoiqIoiqIo/Y4W91OUbmA0n5X7i4qKLsvlz87OxsqVK5GTkyPV+PleFv27EszhP378eLvjQI1+RVEURVEURVFuBGr4K0oXlJSUtBfemzt3bpfvGTFiBG6//Xapwk+jn/n+V/tOn88naQGjR4/upzVXFEVRFEVRFEXpiBr+itIJGvA7duyQv6dPny6y/O6gY4BRfxJfALAzra2tOHz4sPzNOgHM6VcURVEURVEURbkRqOGvKJ2K723atEki+JT3z5gx46qfuZrh7/F48Oqrr8q/KSkpWrVfURRFURRFUZQbihr+itIG8/kZ6W9paRE5/rJly2A2m3tl+DP/f8OGDXC73UhOTsaqVatgs9n6Zf0VRVEURVEURVG6QquLKUpc4T1W6qexv3z5cmmz1xOysrLa5fw08Fnoj3n/xcXF8n3sDsDHNPpp/CuKoiiKoiiKotxI1PBXhh1er1dy82nY+/1+bN68GVVVVe2vszWfEcXvCTTqMzIypDbAli1bUFdXJ+oB5vFXV1fLeyZPniwyf0VRFEVRFEVRlBuNGv7KsIIy/jVr1ogE/+abb8aJEyfajX4a8BMmTMDEiROv+XvpKKDhT6Pf4MiRI9Kyj8ukSZP6dDsURVEURVEURVF6ihr+yrDL4Q8Gg/J448aN8i8j85ThZ2dnixLgeuBnT58+3d7mj4X8jGg/nQkOh6PPtkNRFEVRFEVRFOVa0OJ+yrDh5MmTYowzAl9YWNj+/OLFiyVif71GP8nLy2t3IixcuFAWwnoBlPkriqIoiqIoiqIMFBrxV4ZFpJ9G/969e+XxnDlzJArP5xiJHzNmTK9/IzU1FStXrpTvYy4/uwLQ+KdDQXP7FUVRFEVRFEUZSNTwV4Y8rLLPiv1k7NixksPP6P6UKVP69Hco8Y+HRr+hBFAURVEURVEURRko1PBXhjTM52cBPzJ37lwx9nsj6VcURVEURVEURUk01PBXhjQ1NTUi9afcfurUqQO9OoqiKIqiKIqiKDccLe6nDGmMVn0quVcURVEURVEUZbiihr8y5IhEIggEAh0M//z8/AFeK0VRFEVRFEVRlIFBpf7KkGPHjh0oLS3F8uXLUV9fL89pxF9RFEVRFEVRlOGKGv7KkMLr9aKkpETy+rds2SLPMb8/OTl5oFdNURRFURRFURRlQFCpvzKkMIx+Eg6H5V+V+SuKoiiKoiiKMpxRw18ZMtDgP3v2rPw9atSo9ufV8FcURVEURVEUZTijUn9lyMB8/qamJpjNZixevBhpaWmora1FUVHRQK+aoiiKoiiKoijKgDHsDH9GhD/5yU/C4XDgT3/6U4fXlixZAqfTKX8XFxfjt7/97QCtpdITgsEgTp8+jdGjRyMpKalDtN9ut2P27NkDvYqKoiiKoiiKoigDjnU4Vny/6667sGHDhste4/Nf/epXB2S9lGvnyJEjOHr0KMrKyqSC/5kzZ+T58ePHD/SqKYqiKIqiKIqiDBoGXY4/+69/7nOfg9VqlUJtnXn22WexcOFC3Hzzzbj11lvF+LsW3v72t0u0vysOHTqE7373u/jyl7/cXhFeGbz5/GzZRyjn37hxIyKRCHJycjSnX1EURVEURVEUZbBG/Gno0zCfNGlSe0X2eHbu3InHHnsMe/bswcSJE0WKf+edd+LYsWNITU2V9yxYsAChUOiyz7788ssoLCy84u/T4UCngs/nw7x58/Diiy9i3LhxfbiFSl9RV1eH1tbW9seNjY3y78yZM2EymQZwzRRFURRFURRFUQYXgyri73a78bvf/Q7ve9/7unz9O9/5Du69914x+sm73vUuMfKffPLJ9vfs3r0b+/fvv2y5mtFPaPQT5vnPmjULW7du7bNtU/oWI9o/cuRIJCcny9+M9hcUFAzwmimKoiiKoiiKogwuBpXhP2PGDEyYMKHb11999VWJ6Buwevv8+fOxfv36Xv/28ePH8atf/ar9MfPFNVd84Dl48CBef/31DtF9yvzPnz8vf1ORsXTpUuTl5cm5odF+RVEURVEURVGUQSz1v5q0u7m5+bL8bUZ4d+3a1ePveemll/DCCy/g1KlT+NGPfoSPfexj8jxbv/H58vJyVFdX46GHHhKDsiv8fr8sBlwvwhxzLv0Jv5+Gb3//zmCAao7Dhw/L9jKPnwX8cnNzpXq/x+ORyv08HywWC2677Tb5zGDZL8PpOCUyepwSAz1OiYMeq8RAj1NioMcpcdBjlRhEhuBxupZtSRjDn4Ye6VyYj4+N13oCUwW4dIapACwc2BO+/e1v42tf+9plz9fU1Eh9gP4+uOxVz5OWioehTH19fbuDhUUfWachKytLnidFRUXiEBqMDKfjlMjocUoM9DglDnqsEgM9TomBHqfEQY9VYhAZgseppaVl6Bn+7NNO4iPtxmPjtRvF5z//eXziE5/oEPFn73hGo6kc6O8TlnJ2/tZQOWG7g1F+RvXplKGDh8UfWQeCz7EAJAswDlZp/3A6TomMHqfEQI9T4qDHKjHQ45QY6HFKHPRYJQaRIXicWJtuyBn+2dnZSE9PR1VVVYfnKysrb3jlfRqhXbUE5Al0I04inrA36rcGEkbzua1M55g6daosrMXAqD8N/8Fq9BsMl+OU6OhxSgz0OCUOeqwSAz1OiYEep8RBj1ViYBpix+latiOhtph53GzlZ0CZxt69e7F69eoBXS+l7zHy+o1q/SQzM1PqLkyePHnQG/2KoiiKoiiKoiiDhYQy/D/3uc9Jcb7Tp0/L4z/84Q9S2O2xxx4b6FVT+hhK+pnGQS8WI/yKoiiKoiiKoijK9TGopP4s4HbHHXegsbFRHj/66KOSO//UU0/J40WLFuHJJ5+U510ulxiFa9euRWpq6oCs7xNPPCFLOBwekN8fyhjRfkb56dxRFEVRFEVRFEVRhoDhz6JtGzduvOJ72GaPy2Dg8ccfl4XF/Vh/QOk7Osv8FUVRFEVRFEVRlGEg9VeGB8FgEBcuXJC/1fBXFEVRFEVRFEXpHWr4K4OOo0ePwuv1Ijk5GUVFRQO9OoqiKIqiKIqiKAmNGv7KgBIKhbBlyxacOnWqvajfsWPH5O958+bBah1U2SiKoiiKoiiKoigJh1pVyoBy/vx5lJaWoqysDCNGjMD+/fsRiUSQn5+PkSNHDvTqKYqiKIqiKIqiJDwa8e8FrOg/bdo0LFy4cKBXJWEpLy+Xf2nsM/JPR4AR7TeZTAO8doqiKIqiKIqiKImPGv69gBX9mY++a9eugV6VhIRtECsqKtof19XVyb8TJ06UNn6KoiiKoiiKoihK71HDXxnQln2s4O9wOETab7R0nDVr1kCvmqIoiqIoiqIoypBBDX9lwLh48aL8y9z++fPnIysrC4sWLRJHgKIoiqIoiqIoitI3aHE/ZcDz+9myLyMjA3fddddAr5KiKIqiKIqiKMqQQyP+yoDg8/nQ3NwsfxcUFAz06iiKoiiKoiiKogxZ1PBXBoSGhgb5NzU1VaX9iqIoiqIoiqIo/Yga/r1A2/ldP01NTfIvJf6KoiiKoiiKoihK/6GGfy/Qdn69j/ir4a8oiqIoiqIoitK/qOGvDAiNjY3yrxr+iqIoiqIoiqIo/Ysa/soNJxKJqNRfURRFURRFURTlBqGGv3LDaWlpEePfarUiJSVloFdHURRFURRFURRlSKOGv3JDiUaj7TL/9PR0mEymgV4lRVEURVEURVGUIY11oFdAGT4G/6FDh3DixAkkJyfLc5mZmQO9WooypIiGo+LO7exQi/jDCDf4EPGFEA1GYHZZYStMgcmsjjclMYkGwzDZLPJ3uDWIYIUbZpcNlhQbAhfdCFxogTnZBsfYdFiznTCZzYDVJNcG70fBilYEqzwI13kRabsmeD2E3UEgEoV9dCoco9Ngclh4QQG8tqJRmPg+dVgriqIoCYga/soN4fDhw7IQLeynKL0n4gnGDJyLboQqWxEJRMRggQkw2cxiFJksJnEGRFqDl33ekmqHc1oWnJOy5H2KkghEQxG4t5TDf64J5hQbLMk2BKs9QLTr9/tPxe43hEa8NcuJcHOgy2sinlCtF5491Zc9z2vLkuVE0swc2Eem9n6DFEVRFOUGoYZ/L3jiiSdkCYfDA70qg5qysjKJ9pPRo0fLY+b4Z2VlDfSqKUpCQOPdf65RDJaoP4xQjRehel83bwaigYgs8YiRlGIDLGYxasItAbTuqITvZANSlxfBmu26MRujDAvCTX5EzGZY0x198n2M0tNYd28uR7CyVZ6LuIOyEGuOS1QAvEZ4LjvGpMk57i9tRtQXu0fz2mGkn5jsZthHpcGa45Rof6Q1hGgkCkuqTa4d/9lGBKu9MWeagYlKgwhCVR40V52HY2IGkhcWwGyPKQ8URVEUZTCjhn8vePzxx2Vpbm6WfHWl68nakSNH5O8pU6Zg3rx5aGhokH2Wk5Mz0KunKIOeiD+Elo0X2g2WdkwQA8c+MkVk+5Q1m6wmgIF/f1iMICMKakl3wEzJchs0XnxnGuHZX41wgx+NL51Dyk2FcI5XFY5y7UQCYXj31yDsCQIWE8IX6tHorxVJfMqyQjgnXkrrEgWKJyiS+qg/BFtBMsxOq9wrAudbxCkVcQcQbgmK4Y5QRKLsNMoNZxYfp94yMvZbLQHYRyTDkhZzMPB74qX4KUsL5bOU6oeb/QjV+WJG/8hUmKzdlzlyToqts3w2yhSa2LUVbvGLs8x3rF7UBMGLbtlGjf4riqIogx01/JUrUl5ejgMHDmDhwoXXZahXV1ejvr4eFosF06ZNa8/t1/x+RYnBiGTrjgqRMFOeb8lwwF6UIsZ6uNEP77E6iWrS2HGMTxcjyZxql/fw765gBPNK8LtcU7Ikh9m9rVwMLs+uylhO8xWMIUXpTMQbQvMrpe0KlCi9Tf4Q4LCL44myfCpU+D6+h0Z/vCyfRrhrZg4CZW6EKNnvgqihqqOzK8sphnZ3CpWu8u+lloXZJJ+5VmVLrA5G23daAGuGEymLRsSunS3lojBoXn8e9jFpSJ6fLyk0iqIoijIYUcNf6RZGTvbt24empiZs374d99xzD8wskHQNHDt2TP4dN24cnE5nP62poiQmwRoPWt64ECscxmsuEBE5M6OIHUixIH3VGFgz+/YaooMgdcUoNDxzSn7Xf7apPdKpDD9EJWIyifMnWOuF71idGOnJS0Z0KWdnUb3mtSVi/JqdFjHgWSgvGHQjc8ZI+I82wHuoViLkHbCYYmknDMQ3B9pz6cW5NS4dljS7OLcsKXZxDEik3wR53mQZHI4pW34yMh4YD8/eanHOBUqaxYFmtptjToa8JNkWURZoEU1FURRlEKCGv9KO2+2WAnz81263i7FOo59Qmn/mzBlMnDixx99XVVUligFD5q8oyiVo8LS8ViZGP+X6SQsLEA2EJX+YFckjvjAa0jz4b+txXLRa8EGvF7dmzm3//PmWcuysOQO72YI7Ry6Aw3p9kUYaJa5p2WjdVQnvkVrJW9aq5UMbqkuoNAnVeWHLSYIl0wHv0Tr4TzeKMS45795Q+/tDDT6krR4thfQM2CGieV2b0Z9iQ/odo0Vuz/otLdURmB3WWAScVfYrWmHLccGa65KIuFEZnzJ6OgXoHOBrzJeP/43BDh0kyYsK4JiQIdcP03F43RJxBJQ0w5rnQtqKUTAnJc52KYqiKEMTNfyVdliA79y5c+2PL168KP8mJSXB4/Hg4MGDKCwsbG/HdyX8fj+2bdsmf48fPx6pqZr/qCQ+0gbsglvyilkhnEYNI3s9NZRpcHkO1iBQ2oxwU0Ceo9GVeutIRC0mrL94EOv8F5BcYEah04WN9W54IjbJLf7+2RLsb6hAFCYcavGgNnQp8vli1Yv40NipmJszuYMqJxAOorS5HPWBFuS7MjEiKRfBSAjuYCucFgfS7Cnyfhr7ngPVsk7cPvsovV6HGtLy7qJbjNPAxZb2fHkf6i97rxj9ZpMUyGMhPakD8ewpKQzJU92amyQKEZ4vrC2RfvfYbg125+QsWbp1Ok3JkiWRYfpB2h2jEWkJyjVO5USgtAW+0w0IVXvR+MJZpNxcBHthykCvqqIoijKMUcNfaTdojOg8c/FPnjyJUCgW8bnlllvEiGf0/9VXX8Xq1avFGdAdPp8PW7duFWcBDX4W9FOURIcRTub0BspaLpv0u2bnwl6cekUHQKjJj5aNZWJECW0GVOotRTjdehE/O70HZ9oL9Uew381ifiYUO6IYn+TChgYfXjM+CzPTjTHBBZT7o6gKmvDvJ4/DcvI4MqxRWExRhKMmNIZMuFLPEZspijFOEz455SakTcyE90idRP3V8E/88ZxF7FiRnnUgfCfq4T1W36FCPaP0rBPBVng8J20jkpE0N0/k9HRs0ZBnlDrsjuWws94EQmFJzzeuATq/aPAmUpS+v+C1z30XnwrgnJKF5g3nZf82ryuFfXRqTNWQonUAFEVRlBuPGv6KUFdXJ1F6q9WKmTNnIi8vD2+88QYKCgqk7d6KFSuwfv16SQOgE2DVqlVdfk9NTQ1ef/11BAIBiSQuW7YMNptOCpXEhsZRy2vnYzJeswn2USmxtl5tbfVaNpRJUT7mODvGpl+W08uoafOr5+UzzIWmrJ/yftjMeKZkM/5UUYdQlIY4cHdOKlKsNpxrbcFIVzLeOm457BYbZl3cg7VV55Fnt2NhVhHm5UxCij0JTf4W/OLUG9jSGBAjvy4UV4yMEVdzFBkWoD4EBKKx56kJYLw3GDXhlBf4wqHN+Pfxi+E6ynX1SCs2FhdUEtPob91eAd+JTnn1bS3vaOzbCpM7KFVYad9kuXTOxBeNpJHKXHYx/M0miWbLOdLokxSRvmrXNxShIyDjnnFo3VsF3/F6UQFw37GuBjsRKIqiKMqNRA1/RTCi/SNGjJAK/JT0P/TQQ+IIIJT3M/L/97//XYx75nF2VeiP6QI0+jMyMrB48WJkZ2ff8G1RlL6E0U1G6mkciSz/5pES5Tda7fmOMppaJ4aRe9NFeA/UxBwA4zLEmGJ+dPNrMaOfrcsY4ZdIaiSMbxx8AXvdMcn1zGQzPjJpGQpsSUD9OSASBForgP1/BLLG4racSbitcJ4UX4sn3ZGKT864F/8SCaHGW49qbyPC0QhsJgsyHKkoSs6Ta5XXbHPADafVAbvZhkAkiLKWSnznxG5JG/jS6e34QuF4ZF+0SZE/Rn+VxFOltO6qgv9Mo/h+eJ6xij6LQibNy4OtKKXrqvdxRn9X0JFlnPPEltu94kvpCAsWpiweIUUz3ZsvihKDtRGY/uAYm3ZNqUKKoiiK0hvU8O8FTzzxhCxho9VQgkEpP418TjoMw7+oqKj9dYejYySHxjwdAfxcS0sL0tPTL4s0UTlAlixZIkoBRUlUeD4zaspWe9Q3M0LPSF18uzsWMKOB7JyeLRE9FkhjsTOmBLTuqRJDn6oA5lNb85OQtrq4/fO/OvmaGP1WUxTvSA3jIV8zzK99A2ip7H6lLDYgdQSQWgCkFgL2ZCDgBsIBWNNGYkTWWIzIHBt7Xydo/Gc409ofO80OTMwcjW/PSsEXD21EddCMP6ecxYcxGb4zjXDNyVWDJAFggTw6m1gkr70gnwnioGJV+c597ZWBgc4X1kJg+0z/mSYZL7hQhZGydMQ1txlUFEVRlGtFDf9e8Pjjj8vCivedjeDBTm1tLdatWyeyfhbfq6+vb4/4dwcnj9xOGvcNDQ2XbTPTAILBoBgYibY/FCUeRkndW8sRuBBrq+cYn46UZUUSGWVUfWPFYTQG/AhGI0iz2jEvuxhTZoyFa2p2rEr5kVpEPCGp6k0s6Xak3XbJabC54gBerI1994cCJ3DH4f0dVyA5B0gvBlJyY1Zc3WmgoQQIB4HG87GlO0wWIGMU4Mqihjv2nNUJWB2ArwlorQVCzP8OAc505M14GJ+eOA+fProfe8MmlLsaUejOEIeFLU8ju4O9YJ/7jQsIVnk6yMuZR27UaRguRj8VLVSxUNEyWOH1n7K8SNKB/OfY/q8ZoVovGl88K/UAkmblSkcFRVEURekP9A4zTGHxPkOab5CTkwOX68pRh8zMTDH8GxsbL3vNiPbzPVQSKEoiwcho4FyzRLtZ+VwKoVlMSJ6XD+e0LFxsrcYvT2/HfndE8uMv4cFTVY1Is+zHh8ZMwPLps2USH6r1xCqitwSRNCdX1AGU96+7sBu/ucCOGSasDJ/HHRX7YxH6MbcARfOA3MmAo4viepEw0FoDtFQAzRVASzkQ9MWi/mZLzBnAFAEqAOgk4HI16AjY/H1MypuKmRkzcMhnwUv5FfhgSYbIxdXwH5xEAmF4D9fCd6xeUkgoJ09eMgKO4jT5eyhzvqUCTX43JmWMRmvIg1cuHsCBpgac9UXgi5hQZI9iemoyZmcUYHb2RKmD0ZlqTy1erzyKg031yLbZcUv+OHmvhddRP0NHjH1kqiwRTx7cOyvFQchj6T/VgKR5+VI7QVEURVH6GjX8hynxBfeOHDki/zLyfzUo9yddGf6GakAl/koiwl7inr3V7Y9FgrusUHKbWwJufPXIZtQEY0bVWGcU410uWMxmVPp8OO4Nozlsxn+eOYszLbV494SVUtWbi8GB2pP4+ZnDKA/Giu+NDdXgn8u3MoEaWP6vQNH8K68gjRKR+BcAhXO7fk80Cnjq2hwALbHoPwl6Y1F+ZzqQlH3JWVC2Ezj2N6D6GB6xOnHIOhm7zCY8aG1GXolFepSbLEPbkEwUOX80EEbEHRTHlP90oxj8xJrrEll/fEX5wUJr0AuXxdFlPZhrpdpTh1+f2YZtTUHpLGA1HZbT/VKiXUzZcCFgwoU6D9bWnQXOnIXDHEWKGZiW7MCsjDxsqyvHPndEviOGHxsaj8FqOoY8axSLM9Pk+qUTwB1oRb2/CdnOTCTb+l6KzxoMaStGIVDuhmdftahsWndWitPRNSOnz39PURRFGd6o4T9MYcu9eIkkc/eLi4t7ZfgbEX8t6Kf0lsBFN7yHamByWGFJsUkE3ZJ67YYN25Kx8J7ZYYE5xS4VzeMrlhswum0Y/Yy2OSdntle1Z5T+24fXi9GfaY3iixNmYqLZCrirgbAfSMuF35GCn1WexoZGP/5a3YytDc/h9txcLMubJEbDX0u34s8VDYjCBFfEi/vch/GWxrOQX1j8oasb/T2Fsm6mCXDpCZljgFGLgL9/DrPL92HiuNE4FXLi71nn8Z7qNFE+MDKpDBwstMi8cMPQN2AXCRbso6S/v+T8vDccazyLTHsqClPyexSNP1hXgn015SgrBaqCZhTYovj4xDmYmjWu/TsbA8043nAe+xsrxHFW4HCgMCkVFpNZClOGI1TVROG02GA1mbGnoQp7W8LtRn6SOQpPJLbNbHe5PCsbMzNHIsuRhgP153CwsRrHW/1StNIfMcEfATY1BbCp6UL7uo5zRjE/PRMXfa3Yx3EiYhKn3LPVLSj1vIhJqen4a2V9eyeMHGsEd+Xl4p5RC/vcCWAvTJF2it6DNfDsq0Hr7io57lQhOcakwzUrZ9ikbCiKoij9hxr+wxSv19vhMY3+nrTdMwx/j8cj1fvtdnv7ZI55/0QN/6EBJ52MMlKifiOR9nisoh9n6PhLmqWlGA34a5FDN68vRbgp0P6cyW5G0vx8OMdlIFTvRaCqFZGSerQ2xOJ/rhnZSF5QAH8ogO8cfAGV/iACEaAyaJJWe59PCmDiq1+L5drHQQP+4yn5GJ8/A7/1p6MyYMXvymtliWdh+CI+UrEVGZTtJ+cCc98NFC/GgELjf+zNwLk38JDnDL5rn47dLhPehYjkjqvhP3CE6rxwb7koHSWM85cFI+kIo6HYX8YgFS7Pl+7Ca3UNbe0hgcku4K6CYqwYMbdDBL/cXYV15YewvaEZFaJm4f0gVkyS8Nr54tEDmJJ0EA3BCGpCsTaS8Rxo9QL1He9JXUFj/f1jZmJ61nhcaI0VwSxmkcs4CpJzceeo2N+NvmY0BlpQ4anH1trzONnqx/gkOx4aNQsTMy45uuncK2+twZ66M/jthWopurnXzfuZCRxx6HCgE+H35XX4Y/ka5NgiKLBbUOh0YWpaLm4ZMafXqgYey6TZeVJI1LO/RsZB4mmols4gqcuLOhQWVRRFUZRrRQ3/YR7xp+HOKv0TJ07s0ef4/qSkJDH8N27cKJ9dtWqVOBL4N5UDqalqKCRk7+9tFVIVnPnoJocF7s3lkqNOY5jGMiekfGzNcIhEtb+K6hn97mng2ItTJfeVkXv2Jk+9dWSPt4dFz2j0m5Nt0recMlq23ON2cpH38T9/AFGHHc7xGbHtBPBMyVbsbA7JNksRPETxodBJTC49HPsBe0pMcs/IX6AVaL4IuKtwv7sKK8xmrE3KwwbnWFTYshE22WAzRfHOSAneVLEPZpiB2W8HptzbZfX9AWHmI0DpViysPAT7qIlwm20466jBlOqUgV6zYQMdVWybZxh3fNyy8YIY/dJRYmXxVdvuXfdvRyKo9tahwluPA/VlWFPbLBFwGr52U1QM9RNe4MS583i58jzuKShGc9CHA421cbL5mJE82hFFscWC+fmjMSatAL8+s1MM6SMeviu2/vx/tjWCqclOjE5ORaW3FVWBAEyIwmIywcyF9yl2LAhHMMrlxN2FUzCZHSva6GzwdwW7WHAZk1aEpQUzu30fZf2jUgtkKU46hu+dPibr+M6iEbh71GK0BFvx6sX9eKm6WhwA7IBRHYziYKsHa+pKsbu+Ah+ffiesVAL1Etfs3Fj+vzcUG/d2V0kNgIYaL5wTM8Tp05VqSVGUjkTDEUR84fYgAlWD/TWGKkqioHePYQQj9GzbN2rUqPaI/+rVq9uN+Z7CqD8Nf3YGINXV1VLN38jv74t8TuXG4j/VKNXoSeBCixgfxs3Se7gOoQY/Iu6AGNLMJWb0vavoU7DaI23sqBRgbjijkuxpb7ZfPVIf8YfE6I+0BqUKfurKURLhZw5z08vn4D/XBHOSVQrusYCZa1pOtzdxSmalIr/FhLSVo4AsGyywSPss5tJy2/hdlhwXgvYA0iYUwJ4fi6DWehvwXHU9EA7hTe59mBCox8igD+OYI09Dfe57gIm3x2T17RvuA8p2AOe3I7WlAg+31uBhd6XIlZvMVtgjESTTPLLYgZs+DoxcgEFFSh4wfiXsp17B1EAFDthH40BSHSbUFsjkSfP8+xdGdJv+fk7+dk7NlnPTd6RODD9zig0pN8c6SvRV3v255ouo9jWhKeDF2dYmHGzxoTEcf4xNGGGL4v6CEbitaA4afM146cJBrK1z45QX+K9zHbtKUA1wa04BbhkxE8nWJLkn5OXlyb3gy7Pux7aqQ6jyNmNEUgaKkrOR78qBw3qdNQkoJyjdHCtmyah99sSYE66P1A/z8qbiF5ljYDVZ2tcx3ZGKN4+7GQ+OiTlIzrurcaG1Huc8zdjUyBSCABoPvIR/mrgEI3uQEnElOAaxvoiB1Bh5/YKMi1QCcBzMuG8cTDYtoKsME+WhN4RgrVfmH5Kul2yVayHc5IfJbpFrhHMNtsxkNx1eI4GLLeLsjyvmIWNp2qpieV93vxWqY8ebqLTX5JjL54LlrYDZBFtBkqbcKAmPGv7DiIMHD0o1/1mzZiEcjmVLJicn90jiH09ubq44EAzYztDv93dIBVASh4gvJMY6sWY75cZHw5gGN/NL+VrwYqz1HGGfehbCY2SKPe55c2UOKqNQRrTegK2qWIiM7cXYU/xK69C8rlTkrSanRW7OhqzflpskKgTmvnqP1HVYDxbf63wjprHkORBzSiUtzsd3y9djx/EQsqxRFDksmL0oA8syJ6Ewu0Bu6t7qaqleb3zPk6c3w+/3YXSgAu9tOgMzI4s5k2Lt8SbdCaR1EWm0OYFxt8YW2aCwFNgzVx5EJtUAdAzw+6e9CcjpmbrmhjPlfuDUK5jXeg4H7MU44gziLQ2xiZBW9+8/eL3QsIsyp4ROqwM17a/JtbCCDrDe36pPNZTih6f2SPG7yxEditSwyLWZsCpvJFYVzWuvcu9KceGDU27Hfa3V+M2ZnSjzBZBps6DQ4cCdRdMxPn0UEAoAtScRqT4GR6sPCE2TtpLm5FzcNGL25T95cU+suGTqCCB3CpA9vmsFDK8lOtWayxFqboV30zp4T5Yh5A3BbDHDZDXBZHfAnJkH65ipMOWMh+/kaYRqapC8ZDHS7rkH5rSOBWcDZWVoWf8qQtVVCDfUAZ4mINAMW04GkpavhHPhKpgzMy/fS2azpBJwWdT23ILyffjxuRIcao3gI/u3Yl6qBavzxmBR/rQ+UQBQ+ZT58EQESlvQurtSjJ+WLeWiflIjRBlqY2GgrCXWmcRigu9onagMo6FL1rtnT5WkPBnjJTHa5opMJ87QF6ii4vcx+u8OShDBVpgi6ipDZUVHQjQYlU48RmogxxUr73uRKIKVsXapVA7SCU4nnDnNLg4ES6ZDrtGeBDcUZTCghv8wglEYcuFCrMARZfnXavSTKVOmSDSnoqIChw8f7mD4p6d3b9wpg5PWXZWI+sPiNU+/d5zkFfPmx17T9Hhbc5zwHKiJ3dySrJIC4DlUKx54wyFASbJx0+XNkRWpKVWlEUMDveWNC3Kz7ipfPBqKoGltCcINfulhnXbnaFjSOvbids3MFckeb9xMQ2AxPqoULMk2JM3J67g9dGJEorIef7cexQ5K9tl1ImRCfSiCQ631+H3VdkxwAqtzCwFvADsqduCMLwQrImjw0uMfxj+0HIF52oPAzLcClmscKmkw5UyILYlCaj6QVoTF7mr8Oj2EEpsDLWYvkqs9avj3I+4dFZKCwmuLqSa+Ew2imHFOyoRzYmaftOfbWnEQPzx3WgrdkTRLBDk2E1ItFuTa7ZifVYR5uZPhtHa87gSWzve3iFplRHIePjfrvo6v06l18C/A8ReBkB+maBQuyvbPviDOrmBrFObcsbBMXBJzoDF15twbQMnmtq+PxuS4JitMmWNgTsuQyXrIZ0WgKQpUHJJOFd4LrfBe9MQm9jSonRkIB7xAkM/5gYpm4OjpDqvWcmYHWp9+ApacfCBvKiwuq7S59J25EKvTEQnGtq+N8EXAd2APYP4hkFYA65hpcEycDFvxKFizsmDJyoI1MxOmpEuOwlsL5yLHmYrflRzGMU8Ue1rC2NNyBmklp/Cx8VOxMG9ar48fjQ06ThmxbFpTIoaON7MGrlm5avwrCUOgohXhBp/cw8P1PnEq0+i2pNjFCA+ca5Kx4DJMEKUh0/YYfafRz+KmLMTLsZJKQy5RftYEif4zaME5AD/Da4SKwpYNZWLEB0rbHAVdQIMfVDz6wrFIP6HaiqmOxmNS72t3OHCeZBuZAlOSFRGPG54ylvGNpW1Z85MkAEIHBot4OqdmXXJIxF27YToT7JYh345VGXjU8B/CUH5P456DC/Pvm5qaOrTdc7murzKxhZPF3Nz2dAEa/kbNADX8E4tgjQf+M01ys0xeOkJy3i3ZTomyG7AlXfodye2TdP+5ZjH4xeg3myTvlIY4vfK2ohSR1htpALz5ureXi5Hu3lKOjDeNvyw/ldX0DaM//a4xUk2fOccvle3A3oZqBKOMRwLz8nOwau5spNpTYMt1wb2tok3uF5B0AjouePOXm7EJuDDZjz+UxSL/D+emYLqvFifqSrA7aMUZ2wicRjJOl5UjEo7AjAg9EDFjIBrB4lAZZi/7aPdt84YqhXMx4viLKIg0ocKcjQNJFciuyoNrxkCv2NCLbPnPN0vqichRTUDqLSNjhfvG9041tfb8TrxeWw6nJRbFv+ALSYE9TkUpyf/U1FuQx5aOXRFm5b1WwNsQi8aXbgFaqAZqy8/PGAXQkB1/WyxSf+514PBfEWmpha/ci1DAjrA9DyGnCabMKNx7TsNzrhkm63lkzD0E18gkeC94EGwMIOKPIGQbgWBNA6LuxrZaGrF0B5HYthU0FGjouzKAJE7oR8J124Owj5+EaCiEqMeDaEMZwheOIXRqPyKNVXDkuWB22tG0rwahlgAiF8uBi+WIL8mZNDoZrlEZsLgsMCVnIZoxDr6SKngOHEao0QM0XkDoYCVCpacAVybga4yND8m5MDmdsGRlwlZYiJRbbsG0SZPwnawJoqpYU34U25u80t7z2ydP4IO+FtzdRwU86YBLnp8vzloqoFh8M3nRCKm7oiiDBXHmuYNilNOvxto9nAMwmn816Nzi/IGBA8eYNDgnZ8mcwEh1YloUlYF8zUhBc8UpBzlMdaWQ4nNpt4+RFACmAyAcjSkHwlH5Lf4mAwliwNvMMicRtYE/DMfEDHCK4DvVEOsQlGZHpDkQW5e2FAQqcoyaQV4H65Vc7pCj40ACE5zTJFlhG5Ei//I6DlV7ZD5FpaVrerY4Cbg9Rj0ldtjhfuR+sBenaaFP5bpRw3+IUlJSgu3bt2Ps2LFYvHixVNznYBzP9Rr+BkYRPzoU6FggavgnFsx3J4wm7S3/G35yPAq3ySntslyWKJLMJhQ4bHh41ExMyhwjTqSUxSPQ+MIZ6S1OI59RfEaeeANkEbL4fHDepPh+o7Cee/NFpN46qt2rHaxqlXZ7JGV5kdzg2a/7h8c3tRUDu8SB1mr8/uIrmJNiwe0F4zBtVjb8B+sln0/y/5NtIucjgXF2/KDyIMIwY1ZSFO8s2wxz9XHMA/B2ql/MNrycNwMb7WPgD7Rgqf8cbvVVxip4OzMw5aaPAnGFxIYNdHQcfxGz/WWoSMrGIWcLbq7xyNihkcXew4mk93CtTOLaDVuzCckL8sXo7y0nG0rw3+cvtrW9MyJnseO2PN2Gf5l2J+zxcnreE3hcWyrFgJcofLSLiFvszbG8ei4n18QKWwa9CDYHUbejGcFIjhjInPwG/H54HXaYMAHI9yPqd6PhUCMa9lVxUIhJ+lNHAuFkIDUNSBvDaoaAr0Vy+MXNYArDluWAOTUT0bTRsBWPRcotN8M2YkQX60YH3QOXnBdU3JhMcIVC8B/aBRx5HtHKIwgHrYikT4ZzwS2wj5soqgE404G2XH6az+nhEKIlmxHe/TSC50vhr61HyF2PEHwI+0KI+FsQzRqLUIUfoYpKePfsha2oCK65czF6zhx8dPrd+GDIj+8eWSvR/5+fL8fzFX/FsswMPDJuKVzW3t13ndOyJALp2VUphkTjc6dFbuyckAnnpAzN/VduOJwLUJZvtKBkTn6XkXuzCfbCZBn7aODTkUUjPOINwmRlrr4D9tExpWF3UF7fXY7+1Ype8nsdxWk92iYGErjEQ6dbd3UBQpWtCHuCCDY1w5meJmlBNNQ55tN459yIdZTE6SCFjEMSMLm0cnwyilCVBy1VnkvblGQVI5/KSQNLGtOYRoiyAaEoQk1++S0qJdUJqFwNNfx7wRNPPCGLkS8/WCgtLcXWrVvl7zNnzojhX1d3KTfawOnsevC8VsPfMPodDocsSmLAG5JI10wRbPL/Af9bk4eIuMvDcFudcIdjN99Sfwg7juzDZPtOeHxu1JlTERptoQMcxZXHcVMgFytGzEDO6MwuC4kdqj+D4+PKMfoEMPNCEer/dDzWisxljf1+FOJRZ9GeGm89Prl/A5p9flgjPtzjP408M9CUPgqbTTmoCNuwqyWMXS2nUGQ/iS/fsQTJJ8Mi3WPeHYnagCdch1HjMyPDHMYna/fBXHs6ZqhMfwhIzkPe9p/ivZX78Fh0L/yBABxpOTCNXBTLvy9eAth7b4QlJMy1tjqwoLUCa5Nm4ZjdjLAvKNENOmWU68d3JqZ64eSOcOJLKT8l/VS79Ba2oPzBqb0Iw4QpScCCjGwEImGMTs7CpPSRsSh/0CtSd5TvB8q2A00XY2ksNJbjk2NtSYikjYO7Jh3haCqiETOs2WlIpty8bj/CJ7YiUFuLgNsGd4UDUft4mNPT4Zw6DSaXE43HjsNUWwv7mNHIeMvDCJw9g6bnn0c0GBLZvGv6dJhT02BJTYFt5EhY8/JgslhikcJWDyKtrbBmMc3hOrpexKXlmKxWOOcuBbh46mW7pB7HVT5vGr8C1jHLYT32PFyHnok5QxxpQMiLiN+PsN0l0lzvmUq01qYhePGiLM0vvoikhQuR/uaH8KWZ9+EXJ9djTW2rtDl8proJe5v/jq/OWC2dBq4XOuBcU7JgH5Eskf9AOeXT/pgK4EC1tASkc0AddUp/QkMzcNEtBikd+KHqTu04mTvvjDngOL6xYK8o8zJ6N+8cbPA6s+W4ZKFS0V1tQnJbYdPOSMoinRw2c8xZQKe6PyK1XJwTMsQhQueA71hdrK6BKeYgkN9xWETpSLUD9zlrInG/Rvzh9nsKoWKAwZb4AqFdOWrkO806RgxHTNHOYWDlmqHUnZFuRr7T0q7/ht7jtktxFZO74oUXXkBLyyVJ1Zvf/Gbs2bNHHALxTJ48GfPnz+/V+jz//PNobY3lPXGd2CVA6dlxGghYBdd7rB6WJMB9+ATeiF7AlswWnLHHbhILg+fx/uaTaDVZ0GKxSlu3N9InYbeJ1d3bPM4mc8ww5r9t8PYxJcmEWWkZEkBs9vtwrKkOpSEnIm3v403tbk8Ub6ma1FZKLAYj9UwBgNWEf9vzDA41+5AXbsDnG/fEKum3QUfDsTHL8UraOGxv9ku7sRxrBF+fsRwF1mwp6kfj/7fN2/Bisxe2SABfa9qO6S3lsfVd+cVYATFScRB4/T8QDQfhzpyO5JUfh9k1eNQq1xphDzU0wH/iBPynz0hRs3B9vRhY6Q88AFt+LEoRdrvhO3IU/jOnYc3NRdK8ebBmdyH5fuM/4b+wC+8sfAD+iANfqczFjIWzxEgdKAbr9dQV7IJA6SYloZYMp3TD8J1ulIKYxDE2TRQyzFHtC+OMveqPNpTgteoScYqlmKP48bzbkMVotlEF//xW4OjzsWh9d4yYA8x8GNHMcfAdPYqGP/wR4ca4iBSxWGB2uRBpagB4bbKtpckEx8SJyP7AP8CSnt5+rJgOxrQwAxrzNJqZK59QNF2IKSJYoLDmuIwbIvlvIxwyw5d5N7wl9fAePhpTNFgtsBcVwT5mDEILZmG7rQl/KK+UMavAFsUXpy3pUTvCnsDcZX9Js0RcjcJk9lGpSLmp8IoR0ES6poYzg+k40djnWBY43yIKv3hozCbNy4vJ8m1miZYPt24wfXWsmAom3XRsZnGusKaBY3SqqHlYC8Gzt0pSNI1CynQAcAk1+sUJIMqGSZmSwsDn6QTgmMAaAjxuzRvK5D1pq0fD5GDhw2i/tWgejEQG0TU1EHaoRvyHGDQY2GovnsbGxvaIP1v3sa1fX0T8CU8ww/BXmf/ghl55qbrfVIc67xn8eEIApY4UmC1JYrjfle3CP459P8wH/08q0kt00N+AW7w7cMbqxAFHOnJMUYzwt8DpTEd46gPY0VyJLX4zSsNOKWx1rLUBoIMg7JdceSCITHiRbzPhuDkPa1LNqMg5jU87l8ESjQ24zFfjDem5E+twqNkLazSIz3hPYtzKL8SibDRWzrwKc8UBTC/ZjOl5dbgw9934t1MHpKf25w9txmcnz8G03PH4c/PrYvRz3f+haQume2oBRjpv/QyQOebSzhgxC7jzW4h6G9FqykOy4/KigwOFZ88eNPzpz7Dm5SLt7ntgHzUS3oOHECwvl+cYHQ2ePy/GWai2DhHmOLcV14yHDgDvvv1wjGfBxnpxBsTT9MxfYR9dDNfceXDNmwtbXluRxMK5cFzYhfHhGhwzj8JxZx0mnmsaUMM/UeDEy/3GBYnKCIyoxEVjmLuZtCC/VwZ/OBKGLxyQlJi/lh3AlsZAu6iffGjMuEtGf/k+YN/vY8arAV/LngCMWgTkz5DrNBIMwXPwJDy/ewnBsvOIeGKTenEQLZgvUXDfkSMInDuHiNsN2J2wjRknEX3H+PFIWrBAouvxdN5GczILbSWgkiZ9ZGwhBTOB1V+L7de0IuDsRlgq9iO55SUkZwOBmX40nElBoDUJgdLzsuD1N7Bo9GhMfPh2fLu2BJVBMz55cDveXVSA+4qX9Hriydxl1+QsUY6wMGTrzkrJpW54+iQcEzIkysjcZeUSYXdA2r06ilOHlcHTU6TbzcFYYV7X9BxYUu3wn21sa9Ub6RBdplFJOTqLAbNIn9J7aPAb6ZCdUxM4V0pZUojkBQUI1nhhSbHF6iKwgKEnCPfWcjm3fcc63u+lfkCmQ46p4TBofOls7O9IFI7x6ZLKoNfD0Ecj/kMs4s+Cfk899ZT8XVBQgMrKSsycOROHDh2S5yZOnIhTp07J30uWLMG4ceN6tT5UEpw4cUL+XrBgASZNmtSr7xsqDBqPorsGqD4C/+kqlB8HTjobUZfkxsvZGWiyJCHJHMI9KV7cOWElCrpqM8fCXowWNpcDY26OFfd65SuAO9b+z+B83mRscOahzN0ISyQIO8KYEvZirrcOhaGYEfFSSgF+lboQIbMDd2a78OEZl6qDH6o6gq8d3olg1IR3hM/ibTd/HEjqFBnkZHvLf8UcEil5qF78IXy55KQULmNccXqyCQdbo+J4uKdlLz7UUgZMuQeY8XC38t6BPk402t1vbEKwskIi86H6erRuilU7vyZMLPhTDMeUKZIDbU5JQeumN+A9cLDD2yirdkyehOCFi/CfPHmpornJhIxHHkHqbStjkujn/hlPpo7Cs+nLMLvFh4/VzEb6vWM7FH28kQz0cYqXSDI/nxOo+AkSozOcaLFmRrStaJQ8z0lyW/9nx/gMqaVxvUZ/IBzEL0++hvX1HqZ1doDKl7EuG5blFOG2ovlAcwWw50mgYn/sDZS4T70fmLAqltPeRsTrlbZ27o0bJSJvYLJZkbJiBdLuvx9m+6XJfLCqClGvV4rameKeH4zH6obAFIkdP2vvUEA4pQpHUhFInQ9vrQWe/YeAUFjSFoLvfBA/tTXhZFuwdE6KGR+fsgKZccekt7ArC1NKDOcTZcQsHMliYeygQikxFQLO6VlodHiH/HGiIoKyasqaqQpjihsL1BqdX9LviHMID0Ju5PXEfWWyW+A/2SDFcwVjuGobc9jylwX3mLOuRuLgG/uk3sLxelF3shNCpDWEQLlbaiwZMNWSaoD454jR2elKNRaGApFBcJz6Go34D2OMSvus5p+TkyOG/0lO8Nui83zOMPx7W9zP+M6u/lYGGEpRKe098iwCrRnY55mBH05MRqslBWazU4pZFTpt+OL0W68sOWWLN+bFx3Pbl4Gd/xOr/M28+fqzKK4+gccQcwBJn3saGXQU0LCsOizrcW/tSbjCW/BfqYuxtrIV45t+hDvnvBOvXdyFn15g9X4TpkRq8Air6Xc2+o3Cc3d8Iya1dVcj743/xH8u/hD+s74a+92RmNEfjeBtLbvxaHMpsOAfgEl3YjBCA6p182a4N21GtK0jRjypt98u20KnQDQQgH30aNgZua+pQaiarRXz4ZwxA/ZRo6S1mCUtDeZOCh7XjOnwnzuHUFWVRG6t+QWwpFyKuIZbWuDdvx+eXbvFCdD4l78g3NSE9AffBFPqCMwMNOLZaBhn2aIIEemgkH77aAxXaNAxmuI/3RgrUlWcKnmdjJgwf59VrAmNidTlRVLDQvo9Oyy9LrhW7q7Cd49twTn/pQkZ/5qWZMLDo6ZgHmszGK31eN0feio2BrAa/qS74E+eh6YX1yL0h/8QY9+cnARbwQgESkraDX5rbo4Y+45Jk8R51DmCL9vWljaixNUT4HjFscZiB2pPwrTj57C6q2D1vI6kNAcyPvQO1G84Cd/RY7A++RT+dfQorFsyEn+zpci49bF96/HhsZOwlGqCPsCa7UL6/eOkbRkLANIB0PxKqURtWSXciNi667yILkoFOnZDvSqBCy3iXGARtsFeSIzGj0Q146LU8bDGjFRmr/NJobWUpYViLA0XuO2svG9OscOzp0qK8zEXP9w2ltHI574xUvJc07LgnJqtueGDGB4btjmMJ7ntWpACgdLukE7AsHRaYLtBOqObXimVsYL1BdiOWRm6aMR/iEX8+dr69euRkpKC2bNnY8uWLe2vzZgxA0VFRVi7dq08vvvuu5GZ2Tv5blVVFV599VX5+6GHHuoTZ8JQ4IZ6FHkJMwIf8sdk9uX74S7ZhL/DjEDYCXjG4tmcVPgtVmS5Iih2OTAqKRlvH7dMWuP1mtY64PgL0msbY28FGHHsHNXkOlYeAsp24H8bLuBFS6xiPpuMsc0YmRkqx+fnvAnJBdOv/Hu+ZmDT/4vl28KEyOx34ClHGjbU1eKhlqO4s/qI9OzGqq9cvh4D7PkNlJWh8amnY9H2Nhg9dc2dg1BNrRhhNL5cM2P98yI+H6LBICxthTT7A94CWtasQdPzf5PHNPzTMkrgO7sB7yh8E8IWF75elofCQMaARf0H2kMvKVS7q+A9UhezuLu4a1LumjQ3T+TVfVlYbePFvfh5aYnkh7vMUfzj6NFYnDcNTosdFtbPqD4GHH8JqDkGBOL6TBfMRHT++9Gy8wiannse6KYIrbUgH+n33y9V6U19sG8H+lgNOByHz24ETq1rT7GIznwbms9Y0Lz+FYn+k5ICF36zdDqqnRmSC70604n3T1qBZDpT+whG+N3bK2LOqjYoC2buf7DWg4A1jPy3TIPVZZP3sjaFjYZAW6swySfeXSVRcueULFG2ePbEOsEYkcPUlaNEfjzYoEOORj+jmsxzpgrH7LKJMWsfnSbXMovCUo0TZGG6SFRk6+l3jx1UEc++vJ54PHksWayV6SA83t3BiH7qquJY0VyTSdNFhvjY5zvdAPfmcpisJmQ8NHFIH+9IAh+n7tCI/zDG1xY9ZP5+Z6N+9OjRSEqKefc4keXfvSUjI0PUBTT4+6JmgHKNBjfl76dfiVXqBlBptmJzUg6edU2D25SECJxAqhmspTclzYJ/m3V73xj78TC5df57r/weGkLMqx8xC+8Ph1C158/Y5Y4gGmENcmCVpRYfnnYvLFcz+gkrYlN1sOsXwNkNMB/4A95WMBNvYy0AX1Ms8rb4n69q9F8P7BvOfPuIu0U85pTvmlOSEW5okNx85t7bx4yFa/Ysym4QbmiU9zCXnlW/m158MTbxN5ngnD4dKbfeIpH77gxFieL383XF3067+26RbtMp4d6wEakfWA3n2Q0YE67DGetInCpyo/BchkSF0u4YM+QjPjSCiNFPupXFlE7FjCcWTbNmuaSnM3s8MxeTBa2YY92XvZVZpf9/TryK9Q0c000Y64jiM1NvQmFKW9S99hSw9zexf+Nhz/nZjyJgn4DG//2jFHyUp+fPQ+rq1TAnJSHS3IxgRYWkhLhmz5aK+kofYXXElEYT7wD2/xE49jeYDv0Z6RnFSHnvrfDUp6J1+06MKa/AZ1/YjacWjMC2ogl4JRLFzt0v4y0jCnB/8RJY2JKwl/B85PnKCB4ju7E8X6eMXY1/OwPUB9CyrlQi3e5t5dIdgJXYHZOzxBBmBNjolsLaAe2bmBOrLs60l9Zt5Ui5ZaS0cItVcrcODnXO9vJ2oz/j/nFdytJp+FMZYcDCZ95DNUiac40yiEEOFRqeQ7Vi7LOQW+fK+6wcz0h/8pJCRJpjkWEWIOW9QfP2hwdMRWONELZeDpQ0SW0HZWgy8CO00m+GP6P+rKrMdoN0AhjF95YtWyYt+Pqi9R6/49577xXjX9sH3SAYTTr4FOCpBRu97HamY1vGJOy3FaHBFKu2b7LakGMCilpCaLQCEwsy8MEpq+DkpHSAsVis+NKid6Le24iQtw52ZxYykjKvXWK7+ENA1lhgz29iagKSlAMseH8sRaGPoUS69uf/LdXzr4T/1ClZuoOR1Yy3PgJrL9U2fU3Krbei+eW/i9zfV28F445TfRdxxjESp1L9WGExySS5dWcFkhePGLLXOye9jS+fFaOeBj0NH6MYUvLCfOmXTtgyqb8431KB7x3fhvNt0v67spPwD5Nug91ii6XY7P8/4NzrsTfzOSptxt8GX3kLvEdPIvjsXvjPPCUV/enQyXjLm5F8yy2Xjll+vlTiV/oR7uu574w5Yvb/QYqUWhrPIzVnElI++zkELlajZf16vHv7Xswc3Yinpk9CY2o2fn2hGjvrX8Bnp69Ceh8UHeUx7yzJN1msSLltFLwvnBS5d9PL59pfY/9174Ga9sdMEWC7VeYN0wnGomIsUhms9qBpTYnky0e8pVI8lsZ15kMT+tQBdj3QSceq5/Qqp946skuj3yhMR2NfZOwzc9C6vQKeAzVScLZzD/fBTrDWK04YbgvVR3TKSFX3ZJs4dAxo4NNxacl0iLHHyC5bwlERIeMDe8Mrww4ee8fotJjhX96qhv8QRg3/IWz4U8JCY7++vl6i/Qbxf/cFyYlYqTlRObUewU3PoLxpKtbkT8KmzAw0250w2W1SRN8UCGNEKIjbcrKx4kwhzM0RJM3PR9IgzNnKcmUAXK4XTlIYWcsoBk6uBYrmAcXLOvTx7itoDNf85AkEy8pgcjjgnDZN5LmRQACRFrcYV4ycOiZOEKOf+bwmqwWWzCxEfV74S0okVz/9vvuQtGTJoDSamdOdtGgR3Bs2wHPwNFxZqZjhr8OLkTBOBSIS1WvZWAbf8QZYUh0y+e9tFMp7NNZtRArgseUQOzz0QU/73kT6uY1RX0yObRQ/ooFAo9+W339jXUvAjV+efAPHWn2oCjIJxoQkcxSPjx2P5WwlRwn5sReAQ0/HWukRGvyzH0XIGxW1Bms2xOOaNw8Zjzw86JxMwwoWGB17M1C6DTj4p1gdgI3fgoPdM+ZZEbj5A1j03DpMX7Mfr03LxMuTZ+BINAmf3L8On528EBM5vvUDjPybb8mB5YAXkaaAGIJptxWLAR+82CpFAWn0s5sHVS3MG5Z88DYj2paXhOR5eWhtSwUgdJLRkLYV3Lg5AZUHHEeYdsCWZaFqD9w7YoXp2F6uu3XhGJy8qACe/dVImpcv4w+3I1DSjNbdlYO+6F/ngm7uLRdjBn5bTr5BOBAbw1h13zUjGxa22evcccOR2IoftgmNBkMdatiQsLsV/mNHYXI64Zw6tcu6JcolbIVUg1YhVNUaayc4zNoxDhf0Khiixf2MXPu5c+fiwoULUs1fSVCYH08Ze8kmRI+8hIsNy/HvU1NRw1xQTl7CIcy3mTGnKglTGnLhgp1jtxSHMzkscE1JsL7Z1wrz+bn0A8yvb9m4ES1//7u0ODOnpiL3I49Lsb3uYMG91NtuQyKSvGypGP7egwcQuW8cZtYdgikSQm3IgYYcP9Ln58tEnxNja47zug1hVr5vef1CrNhQGyKl314hESpCBwBz5lmN/EbR2lYMjfLXtNtHS8RMnBIjkvvdWfPTExuxtYmy6tjvTHIBn5y8HAWM8O/4b6B0a7vBH7KNRHjcfQibMuD53dPwHjwYy+E3m5G8bBkcE8bLOcoifcoggJH7SXcAOROA174J1J2OLRwvUg8g7+PfQNPa9bhz7TpMqtqB/10yA9UpWfj8kT14d1EZ7i9e2i+5qKYkK9LvGYNQlRf2ESmxtBUa+22qlg7vtVJJ1nEdnNOzEW4NilQ86gtJzjiN5xtl+NN52LSuVNQ58XUMCJ0AVytSRudFvIHPdmbsUc+ifyzYyXQHjkc34vq/UqX9q5Xi8p9qEKNf7vdM6/CGpGibFHRkgdFU+6AtxMhtY5FR3+HD4hwn4eYWUSvZCkcgVF0t6UqWjAxYsrIQbm5CpKlJ3mPNzoYlMwO+I0clDU9UTJFwrI2mxRL7vkhbr/vkZNjHjYU1OwfRcEgK3nKstKSkSLHdxr88JXOmzHe9C9asIT5n6gY6/3jf5X2Pkf8b6cBTbhxq+A/hiD/Jz8+XRUlQWKX7je/FKuOz93rTJPzXpCTU2JOQ5QIejqRj/plc2MtjxhIrEovMry1vkVFZox+s0jOC1dVo/PNfECwvR7i5ub0oGlvhZX/wA0O6sjm30VZUJPUIPNUWpFgiKI42oBQF2Fd3FndNX4RQg18qYLNlWMb946/r/GLlYBr9nGTwHKWUPnDRLdFCozo+/21eVyot8MypNkTqmxDwu6SvcV9Pwil19eyuhI/OBxNE3cDq6DeKA7Un24x+4J+KC7EgdyJyKw4BG74FtFRcWk9bFhrOZcJztgF49S8dvsMxZTIyH3lEjp8ySMkaB6z+SqwYIzsuXNwjx9d04HfIePCfRUlk+fWT+Oz6/fj1krE4mVOMX5VV47Wa5/DwyHG4KX9WnzsA2HGic6/wHn/WZGpPefGdqG83/PsaMXyZmy6NW6KIBsMSmfccrJGK/TRYOIZwzKDTzlaUguRF156OREPZNTVLCv+5N11sf56GPxUSdHKwbzrHBhYI7M8igPwttgdl0bWIM4rIfVkwp8SMd+4DOiXoiAm7A/I+kjQ797KK7hiAlAWmxVF9RCUcu8nYigpFCdf07HOI+n0wJ6cg3Ngo91ca4UbByyvBjjadCbjdQGlp++P4orkIGl1WCqVorqSwHYrNowyaX3gBlqxshOvrxclPqr75LTinTY05DVg81WKW1BjW6XHNmSPOh0irB4HTp2AdMSLWhreuDpGWFpgSvLMVrxee66ztwRaAavgPTdTwH+KGv9LHuGuAhnPAyIX9UjyuA5T2vv4f8J7ywduyCt4cJ35eHMFpVwocdhO+NG0BJqQVo6mlROSNJGVZISyZTmnfxMkRJzHKtVXdr/nRj+UmbsBIQ/oD98ck+kOkAmx3iPx12VKRjbeerkfKZGCG7yJKbQXY01CFu4tNSF5cIJN7Gu4seteTXHepBr63WiaqtlGpkkdrSHEpJZa/5+a1RQ9jEzBOPphXzH/Z+yHqD6ClrAz+Qk7qC2DNcPZNtOl8i+T2SnS/bZ36W2XAqsL7606i0tOICWkF+O+znJCasDzdhruLFwMn/g7seTL2ZharLF4KH8ah/vnXEW5siFXZzs6C2ZUEx4QJSFl+kxr8iQKl+0v+OfZ31TLg1a/H6rYk58I57UEUfOmLsP/xj/jYhj34+6wGrB09EWe9DnzPcwb76yvw+NQ7B2UlasNIYIV8psx0lecfbgnAe6RWrvmeOtb4XVKdPy5PPR5rXhLSVheLA1KKbbJ9Zi/uzSxqJ0UNGTXPciLU5Jd8eS7x0ECSVIEDNeJ0SFsx6jInKJVNEW9QnqeDJb4oKsceRua5fdFQVIx5vk4nRqjKg+bXzl9qQ9gURNPfS5BxxxiY0+xoXl8q60NpdqjGE3N+pNvhZFHGGwTXn61lrTnZUhyUEXe2iKVBX//kb6SNrIE5LVVS4kS92AVMn2MnGwtTkqJRmFPT5F8WILWkpcIxeQoibvaib4QlPU3uySxMGqqsRKi2VmT8VON5DxyAye4QxRPHSBbWZfQ+GokgcO4cghcuINTQIOtLhQGVAcZ6OqZOEQdB8HyZtLjtjGfnTrkvmlxOuRcZSgK2QWVHHtkniCI8egzCH/5nREIhmBzOy9IPBjtsR8vzP3jBDcwbukGO4Ywa/kMMNfz7EXqmX/t6rHXekg8D427tv99iW65N30ek4hQ8TXdgT3EafpvjRZPZJpODf504ARMzY3LztBUj0bL5ohgrxuSLbdfIYMwlH4xw0uLeuQuNTz+NqM8nke/Mtz8q3n1LevqQN/jjSVq4EI1PP4NAZSNCxcBiezleSpmLI61RhCIhWO1WcTDRueQ7Vi95v5TV2kemdlvUi0a/tMIjbUY/8+bZ+i4eFpoy2gixbSDzUlk9nwSbW2CqCYsMt/G5M21S3uxrSjfgZJWSYEqT2daMVb1p+Mtvp9tlu/ozj58G/x/PvI5XauvRGDb2FSP6sXz+f5i4HDi57pLRP+U+YObDaN1zEPW//51Exqx5ech633vhGBu7xpUEJn86MOMtwOGngUNPAee3w7zso8j+wAfgmjkTb3rpZdx0ehfWTM/F64Xj8UpVGNbgi/jHKXfAMsju8eY2tRmvrSBlwrku6QcfqwtgFeO2eV2JvB6q9yPjnp6dv+Jk7Gz0m2LF+ZiSQEWQMe6Y+qCjAPPdM940Xox5KgDorKADUl5LskmEnWMIDe/G52MdMwzFA1MfAufYMcMtKUNURzEyL591WmJKogyH3K9p3NMx0Bn5TTo/w7H2gs4ZWajbUiqS/ZYtF6XjAMdA2TcX3fIv90XqLSP7RYHAaDYNcuMeyGh+oLQUzS++KBJ8a34+XLNmonXbdjHO27cjPR2WnGwEL1xEhNJ9SSVbhqQF8xF2u2FJzxCZPvPuKbenOuBaYVpdPN2l2HHdHePHy2KQdt994jigs0I674wZIyqB1h07EQ34Y+sTiYjTmioF39Gjsr1Rb2yOzVQBOh3E6KcjNi1NFAzhkydR+bnPi+PCZLMi+eabZT3pZPDs3CFqh7R77kbS/PmAzYZQeTnM3FcpNy6l7UrYi1IlvU26dtzAtB3lxmGKXi15SOnT/on92X+Sh/Ivf/mLVPG///77kdqPvb+HJfFRuJQ84N4fdFtI7rr6hHrqgaAHCHiA7U8ALZXwtEzGwaTF+E6hBxGLBTkI4cMTp2FBUazPu9JzeH0YrSzp+ffuPyDe/5amJtjKyxFpiBmYjkmTkPNPH5K2Z8OVqu99D4EzZ5E5OQhXfjPeNfJBeMwufGXyVMzLnSLvYQEtGv7xE9aU5THDWW4rLDZpMSFQ0SoTfsp0jSranLin3zNWjPueYFxP2a4MePfWiMFuwKrddBD0BH9JE1o2xnqrt2M2SUXvpJk5/VqNnNvw0+Pr8Ep9rA6L0xxFoR244AcCURP+cUQG7q08GMvlJ1MfQGTSg2heswYtr6xvL9aX9dh7YO6Djiz9xVDskdyv8Fphh4Z9vwf8LbEuAHd+C0jKikVVKyvR+Mxf8XLkPJ6aEGt3Or61Fm8bMQHLlj8wqI5TyxsXJFpIY4H590Y3DIE2adxsM+PBCT3KO2cbQRbvo5MwZcmImNLOPLBObY5hjLqzAwIdiEaKgWNCJryHY9HfdhjlbzP+YTGJY4HOD8HEVAtzTAlgMYuTxNhn9uJUMeajZqCqtAK2zU3iDDCcKxzzmAJltlvgnMqoe9/uD0bJG/70J7S+sUnk8iz8Ki1ry8q6/xDPI2lVOw1Z7343LKmpIqH3nzkDs4vpEVcvLF3ZWoMtVcdR5nUjzWrD6sLpeLHsAHY0teKthYW4d/TSyz4TCAfx29MbEQiHcfuIqbjoqcP51kYsyBmNKRlj5fw+0XAO++pLMS29EDOyJlzXOU/5P419KhRYX4BOEc4l7OPGybb6yy7gwo9+BFtLM0xsx9mmCugKOgWoTqDKAFbWZpgB58yZ4oQInCsRZYOouExmWLOzYC0ouGHnPFt7srUfo//dFbk01HJ06FszqdjISZjWj5EheI+6FjtUDf9e8MQTT8hCQ/vkyZMDbvgHAgE8/fTT8vcjzPW0Xd7CRrlOAq3w/e1j8IW8yJDBPBprJzf+tt4PLPXngCPPAmU7O8yMoq5clLe+E1/OLUGt04E5aRZ8fuYdcFlvXO7xUIBDHHMLWbSON1s6awwpP6V5AX8AdoddPPapt9+O1BUr5OY7nGlesxZNzz0HZ3YYudOb8K2im7HDUoR7cpLxoSl3yHvEKKnySG9o/7mm2GSWkTjmwrYERMJqzU1CxB2Q19jnnhF1SmclmnUNuaedryd+B/NamefL6uOZD07o0D+ckbTAhRb4TjYgXO+T9ATKYhufOy3rYiugw4FSULOkGPR16y5fyI/TTWWYkjkGVrNVlBK/OPEq/l4XS8l554hsPDB6sbTXDHub0HJyDTJOvxIz/ExmRCe/Ce66bDkOMjGkg+OOO5D+0IODXsUzFCdVNwRfM7D+q0DzRSBrfKwWQFv7VV5rLa+8gmdKt+G5otEIi+ULPJaThkcWPjhojhOvN/fW8vbH0iLO3mboRmLXPKX4jJaztkfywoKrfmfDc6elu0bqipFwjOmZg+9GwJQkRvTp5OC4wjHPwDklK1YXIMspjgG0FTPlWGmoi2jUWzKcHQx2Gv3+0mZJ06Nsnw4B4zillJvgO9jmVDABmW+eKM7W/oAGbdOzz8Kze0+XrzOa75wxA6m3r445Ay5chGvuHIliU0bf0zHyQN0pnHPXoiHgh81shi8cxsYGL4JXsEp4DypwJmNXQy2OeyKY4DIhEo3iRMyfehlZ1ihSLGhvjUoKbFF8ZPxMzMyZiNagF2ebLsBsNmFqxrheXQs8VlXlFchCFPa8PHF4uDdtFocBiwtSTRcsvwj3ho0ItwUaONcw6gtcCToCTElJsKSkwjVntnQqiLhbYc3KFPWBJScXZhfPp953aKCqpeGZUzIdpXo03kEv5+jZRnEMUBXQjpn1PgpuaLrJ9RIZgvcoNfyHacSf6/Hiiy/CarXirW99a7+ux7CAl0bNCaDyIBorD+KTyEeTJRX/kh7FzSfXAMk5wH3/1WXUv8cDy5nXgB3/c8ngt6cgHA5gV/Y0nEudiUN1TThkdyAz2YQfzb0dGc7ELh5zo5Goxe//gNatbVHUNniz5cTFOnIkmltakFk8CikLFlyX3HAowtzKyq/9OxBsQdEtfqzPn4AnUhZhhC2Kny9+82XvjwTCUhFfKvN3AYtOXm8hwO6uJxr3jS+eERkw5b6cSBMWJWLOfnzHAHFIUG1Q442tywPj+y26TyP/s3tfwGkfkGGJYF6aC/tafGgIxSaejxXm4M1jbooV7CzdApzfFqvnwW1KGwmPbRmaNu5pnxhSSpvx5oekXWQiMBQnVTeMlkpg7RdZtQxIKwLmvQconNPhLRdbqvCrjU9hhyUNNkTwvUlzMGFCx/cM1HGi8dvw15jBIIXmZueK8UonYLjJD0u6Q67PltfKJEKe+cjkK0aqWfOj4amTcv1mPToZZsfgzE5lOhKLnRIW12Puf2c4Xnn2VkntADoie7otxnHKzcxB03Nn5PPx411fEPF40PTii/AdPiLzHka1Zf5jsSDz7W9HqKoSgZJSOGfNRPKSJRLd7inuQCvWXNiLjbU1aAlH4TSbxLBvDsf+7YqxjiimpCTjRGsrzvpMMo5OSbZje3ObUqIL7KYoJrrMOOqJIt0SwSinFUdbIzDKBvIsm+ACSn1RUViZ2pwCdW3jMpnsAlbkjIDFbMY5dwNOezwo80dRZDfhY5MWYUxaESpaq0WB0BwKIMVqw5ikDEzOKEJxSqzWTU+uqZjTvEo6BdmLR8nfnr174Tt+XNK57OPHSTFC1lCQ41FV1SPnAGHtA9esWbAW5MNktcVUA9GIFEdkqgPVGz2B6ShMaWHUn+klVN5wp9EJZ6hSeO06p2YhVOdrr4HB8z9pYX6XDmpxyFOtZ4Y48ST17mSDKHpY94OpMjfCsR0Zgveoa7FDB+coqlwRt9uNAwcOYMaMGSiKK+ik+f19yPkd2Hn4aZSFArjDU43vpc9ErS0VsCbj+z4LgmlFuI2RGUbpJt99fb/Bvs6G0T9qETDzEURTR+JPG17Cn+AHWnyA3QGT1YSPjJuiRv81wptKw+9+J7mHlB9mvuudUggt6vVKNV7KpXkD8FVXIzkvb1jl8V8NygqZSx6qDMJX2YjFjhL8NGUhKoImlLurUJjSsegP5aapNxWJt5+5qJzgc1LAHEFGBSR61cfdJfj9VBA0vXwuVgCQMtlwtH0CItLbiZnSZozV+mn0k+QlI/pV0v/bUxvF6CfM439N8pNNSDFH8bbCAjyQXgSs/TzQUHLpQxnFiIy9A/UbTsF7MCbrZwGrtPvvk4l2X0RxlAQgtQC45VPAG/8Zi/xv/DYw9lZg4QcAa8wpWZSajy/c/gF8at0vcMqahh8c2IjvhhxIntI/LU2vBUag01aPlkh/fJSQ15tRzI+1QIyWYYHzzVdM0wmWt+Ww57gGrdFPHOMyJO+e9+qkBfndjlc9UTh0B8fPlJuLJL2KBUj7CrYCrf/d7zsUtCWOyZORds89cE6edNXvCEfCCEZComCKZ0fVYfzk7Ak0Sz0TGnS0HC+9nmaJYGKSDVk2O0LRKDzhEJZlF+GWEXPaDbJzTRdQkJwtSscXSrdhR321RPhHulxYkjMaG6rO4ILPj38cNwdTs8bBHwrAZrbK55v8LTjTdAF1gVZMTi9EcWohWgJu/Pj4BuxoDrUb/VwPT8QsqoETZZe6qMQw4YwP+NShnciwRlAbNMfpMulcbgXOX5TUrUWpDtyfMRlrTx9Buc+DlfljcaChHHub3Mi1WzAzLQP3jJqPVDvrMV06F2icp3O5//4u9y8VA4ELFxANhqTjjvfQQUklYDpiuKFejPpwUyz9jXUWOgc64uF93ZKVCfvoMTIfogqSyoRQVTWSFi+Ca3osnShpTqzIJc/r5hoWi76UtkDnuXNypqTf8LrkXIspLlLL52gdTC4Lkmbmtr8/4guJE8F7vL69a09ohk/SgYz7NdsEM3WG53Z8EUyl79GIfwJG/Ldt24aSkhKMHj0ay5cvb3+ttLQUW7ZsQU5ODu64IybHVa6D8ztwavvP8NmsWxCGBTaLGUGTHRaTGVNSbDjiZWuhAMZ7S/FwoAzLmI/JPs1deemzchA41QT76NRY/hO7Ahz4Y2zS38wbTBSYsDo2sTOZsH37Dny75TwiJhOmBP1ItliwYHwx7hu/bMB2R6LSunMn6n/1a8k7zP6H98eK6QwDz29f0fjMM5JbnpRagey5Dnxq7P04FU7Gewpz8JZxN9/QdbnScaLSoL1wIDHFpLaU8NMhwVsc0wK8B2vhmJghDoq+5lTjeTQG3Kj3u/Gz0osyMfzAqAJYTWYcbKrB1NQs3FE4B85Ta4FDTwOREGBLQjBlJjw1ToTN6fCfOB4rFGW1IP2++5F628qEVKDoNdUH+N3Akb/G6spEIzHpPx0CSZdktBdqSvAve1+HP2xCsbce73DlYNnKt0gu9WA/TuwGwuuRDoL0O8d0W+G/5fUy+M81i3qA1/NwpL+OEwvaNr/0Epr/vkYeM0Kc/qY3ScobnY7MYb8aF9xV+M3ZnTjsDsIbMWFakkkM8uZgEKW+AMoDMQMuxxrBPXl5mJIxAp5QAE6zDemOFIxMzh+wMeJw3Wl4wwFMSCtCpjNdHNp/KdmDioBfOkeOcNgxKTULxcnZ+GPpERyPSyWY4gKmpKSiKRhAic+HC/5L6gVTJIwo8/u7gQ6Ceal2zEzLwfi0fGQ7M2A1WZBmjxX321N7HJ6QH+NSR2AUHYG8DgJuJFuTrqwiCAQQCQQRvHhBuhswwCGFGMvKJKhhycwSA99oT9wdLMCY+e53SeQ9vo4P01Zcc3KlRgU7aXQVmfceq0Prjkr5W+rmzMlFuCmAprUl0nFD9o+dtSwiHRxi9uI0SReU38lLQuryInEudEYcEdWt4mjj9/BGa8lwdKsS4PpTjZC2alQHx2FkCN6jNOI/xAm2SX5YWyAeI+Lv6uGNX+mCigMIbf0RfpQ5D2GLEzabE0GYRMr8tkYL3pS/HL9y7sJrDVGcsY3Ad625+O6+32ESq/x3AQcqz65K+E7WI+PuUTC98T2g8VLf2cjIVfDiPlRtP46dtjI831yPiNmKhSlmfGnR22/4oBR2tyJQUgJrXi5seYk70WLRvsY//Un+Trv3ni6NfuXKsNAQDX9fTazV1PxoM04hGS9W1+COkW6JWgwGkubli+HAvFi6sW15SR1y9qVF4bx8kSAyv7gvqPc1ospTjxJ3DdZWXcS5uPxRsiTNivvbilDdzZXiNb/hm0Dd6dgbiubD61yKuj88HesX3Qa7SOT84wdjFaaV4YsjpU3mPw/Y/AOg/kzs/Ln93wF7rMr2yNwx+OfJVfjpyZM478rCdxDB0md+gA/mzUHOitUwD2KnUdKsXASrPFIjpOmVUulIwxodtpEpsZScOh8CJU3wl8ai0LailD67L3i2bUPKihXDqngrpfysxM9uNXQM+Y4dQ+Nf/4pQRcxIS1m5EhlvebNU2L8SLKL3s+OvwAwT3jJ6Hr5yeDNqQ0Y0HzjiieKIJ1bHxHhuRYYD/zh5JZJtg2teOiN7QofHVLF9fMY9Xb53ZtYEHGs8i0AkjGxHqigHOqd37ak5jp+ePYH6iAlp5ghmpNixzx1EthV4oKAITUEvNtTWozJowtamILY2MfBzSV1QZI8iyWLCqXYHQwkWplpQ5EzC8zUtGOcE/n3WHUhpu/4NAzYUDcNusYmT2MJl8mQ4J0/udn4XvFCGcH09fCdOSqHGaCQMW36+tFBs3bJF1AJJSxbDOWmSXKecw9KuTl056qo1JVxTs6Weh/dQrSz+Uw1yT6bRTwOd92CmqbClp2dfjdTaSVkWM/J5jbfSUK/2SAof1XzxnYL855vRsumCGPu+47E0OCLfOyMHjvHpHRwArANkOC3oZOyN2maooRH/BIz4r1+/HjU1NRgxYgTmz58vUX7K/uvq6nDs2DFMmjQJCxYs6Nf1SHiYu1+yCZj+5ktRFD732tfxZFIBnk2ZC5fdhR/MXo79uw/BV9uKm9xj4RydgbSVo1DtqcN/HlyDE+4gVvtP4aML3gnkT7vMo5hcEoG/bZByJR9GcvCvCJvzEJ76GE77w/hl/RlcNJvRar50wy20hPH95Q/0640y4veLPIxyM97s6SFueuFFqVBLWLU2+4MfhGtGTPaVSHBIq/3JE/AdOSJVhPM+/aluJzRD0fPbV0TDYZR/5rOI1JQib34AgWmz8S+pc0QeyQnJF2bed8P22UAeJ8pFqzx1yHCk4HjjBTxXfk6kn/HQnZBri4pcNcduxpfHzEbK+R1A2Q6gtSYW4Se2JERnvxvNJ70SbeOsyDFxoshq2a/aNW9+wvV9ToRr6kyNG7/fXoqcFAfeNKcQIzOTuuz4QZq8QTR7g8hNdcBpGwQpFi1VwPqvAN4GIG9azCHAe0NbNLC6tRa/3bsWr7dGxEFX5G3AA2XVWHn3u5E0OdaBYzAeJzrTm9eUdCwQ1gXMMZb0geuU/zKyzVx1Ht/an/83vPv3i2GT/d73IhHo7XHyHj4iKW/MGZfe9nY7ov5YTRFzaioyH31bjx3jPz7yd6xv8HVo0sA8+Y+On4ZMewo2VZ2U3Pc0qx2jUzIxNaMYeUlXVw4MFRq8TXjl7E6sGrsA2UmZXR7L3TXHsLf+Ak62elARiMIT6Xhe20xAvi2KiwFTfBMModAWhctiQq7divsKp+CX5w7hQsCEpel2hKNRVPgDeHTUJCzOv76uT/V/+ANaN22WlotsKSrr7IsV7b2WVBsWqGSdHabzEGu2E2l3jhEFXvu+8Iek8Ge8sc6igi1vXBTjXzDFUoNo3PuO1UlLUH5XqNEfqw0Sjra3xOR7mEJkL0qR1EJR+R1tUwKaTch88wSYXTb4zzTCV9IEj7cVuSvHw5Y2NFKjtbjfEDT8WbH/8OHDKC4uxo4dO9DY2IhcVvK0WFBVVSXvGTNmjKQAzJkzB9OmXTJChwscNKSfalsf8G5pLgfWfgEIeoGcScDqr0pEzv3qN/CT5FHY5pwoUZUPjRqBlZ6J7dIlIgWJ3jZZBqutFQfxH8cPISnkxm/q3oB92ceA4sUdbtauQz4Ez9fHJm+ealjtzQilLoDH5cC/5Z9AncUWa+ljNmFMwI/54SQ8eMtKpKek95sx17p5M5pefEly+lgIxpqfJ63b2rcxJSXWj9dsll72KTffWFm3MVlh7pprzhzJxXdv2oTW7TsQDQWlYI01JweOiRMkR435cUYOtOT1s5jfli2Su5b/hS/ANiJWdGcwTn4HO3W//CU82zYjLeci0ufm4dBtX8S/nTjOTn34h5H5eGDMjUlBGajjtLPqCL57+uRlRag4VWHOfqYNmJuWhvuL5yHX4oy14ju74VJkP/4TjPI7FqPxpfXidCMpt96CjLe+dUjl8Pf0WDX7gjhT7ca4nBSkJ/W8iwav8b3nG3G8shmF6S6MynLBYbXAYTUjxWmVzmlvnKzBznP1SHfZkJPqkMeRtpZqnGfeMikXb10wCo2eIH7++hlUNHlRkOaMTZ4bLxmieWkOvGPRaMwcOcDV5Jka9spXgFCckTzpTmDB+9sfbinfjx+fOIZWf0gcAJkhD96Sk4v7Fr8J1t4UoO1HpEL4+WZEfWEp/icV7f1hmJNtEg1kwS9rftey4h4VrPvbC3C/8QZSbr0V6fffh4uf+YwUT+NJUPDlL4kDnEU0XXPnDtpuGddynCjtblm3DsGqaqm87z9zGsHzsfZ7VDhwn8jfqalIWrQQ6ffeG3s+EkG5pwaFSbntv8Fq90+f24r9zU2oCNCxeakyPnPimbfPgnrfmr4AEzOKMSiheXMDj+v1XlONvmasu7gfDUEf7h85W9QHB2tP4genD6MlDNyfm441tU2XOQm6gu9YkGpButWGlQUTRdlQ7anFxoqjONPaBLvZjMXZI7F8xOXFYpkWUPXNb0m6WeE3vynn0PUSDUdE1cNigI7xrAXQs3ucUQSTSgPDcWBAVUDabcXt5SI4fvhO1MN7oEacAu37gL8VicrrRvtLS6YDJptFnApGNydHiksCeVQcJTpq+A9Bw//UqVPYtWsXCgsL0UC5mseDrKwsMfxrWYGVk5S8PBl0li5dirFjx2I4wQu84ZmTMc/eWyZ1XymYxj6rJrNwUhtvFM7Bi34zzlhyEDI7YLIn48G8VLxnwm1oXlsqcsSkubnwHKiVwYSeQ0uaQ+Rd79v+PJp9Pvxr0yas8DbGWjDlTW2/AdhfPoJIZTks1laEg0lAWiGQXoifFhzELqtVvOWfnjYXY9OLkETDgRdlPxQ24WXuO3y4g7yPUZD2fC+rBamrViN19SqRAjbQ88uieKw79tZHkHrbbeI0CNWyZyvzq/pHRsrfYBuhlvWvxp4wm2V9jJZmXcG2NvaxYyS6H66rg2fXbrnZZ73vvUhetOiKvzcYJr+DmdZt21D/m9/CHjyJ/FU5wO1fx+8bL+KpqkZYTcAXJ03FvNzuo4o9gu0smfc+481A9vhBc5z21Z7AN08cQTBqkrxMf8QElzmKFVkpeKh4fsdIFp2JlGK3Gu22zMCIOcDYW4CciQgHzGj4y9Pw7tvX3pop/aGHkLR48aA1OK53nNldUo8TZVXIycqUyPr0wrQO21hW78HfDpRjf1mjGONsozVnVAYyk+wIRSKYWZSOucWZ8l1HK5phNpkwdUTsvtroCUjkft/5rrtHXIkFY7KkKNje0pgCixF9tz8Eb+DynFeX3dLh+RWTc7Fqaj4KMwZQrlx5GNjzZKziP+81jAcu+Wdg3IpLb2mtwVPndmLTxTp42la/MNCM99f4MO/2hzukkPT0mmLhth8eXQNfJIJHR8/B+PRR/baJdFgwZae3hfx8J0+i/pe/bC94xvtB2j13o/mll9vfwxZoRvX6zHe+Y0Ac3D2hJ8dJiqvt24/GP/85FtmPx2JByi23IOOhBxFubZV7qTjL265Jyve/eehl7HdHZD6yKD0ZU9Ny8eeLJe05+vHcn5uCh0cvxnPnd2JB9pjLJPM9guoV1rHwNcXSoHg+s5YFH/saAVcmkJwLWOyx55rKYnM3mitpI2Kv8f2N54GWCqBoATB6GXDujbbva4h9J3PtZ78DmLDqhjgA+vo+xTmmPxwU9eeZpjJsrDyBfGcyXqmuQInfJOkBDxeNxq76CiRbrFIccUvTper/3OJCe0w90JmPjBmF12su4qI/jDFOCywmkzgL7lp7AM6TpVJYlo6hgSQm168Tw50pAqwF0NX8mK01gzVe+ZfyfqOjD1tp0lHQtK5EnIvEZDfDOS0LjSerYfeYYLaakXbHGEkRTGTU8B+Chv/+/ftx9OhRZGZmoqWlRfL8+Zv8vQtt8uzU1FR5bdWqVcjP77qy7FAlUNGK5rWxKtmZD02QquJC7Slg/x8AejdHLgK2PQF3/TmcT8nFlPGrsfXES/jPtCWIipbJitwkJx6fMBNzcyZLC6K6Px5vN/ZbNpeLtzDlpkKJRJCfH1srvblnhy7g38s3x25At35abgANu59FdH0LEDUjY1YVfPaVMBeOxmtJp/C/FVUyKH9tynTMpuqgH2A+Y/MLLyBYUSkRfCPKyH6yaffdi5SbboLv1CkEyy7ANXtWh8g4h4Wm559Hy5q18pgGiv/kyViLMZNJVALpDzyApHnzuv19cRRUV0sVWlkqq6R1DfuRdxXh5PrWP/kb+E+ckMfWEQXtTgrmPqfddae0NpPKthfK4D91Gv6zZxD1dpKKmkzIfv/7pGfu1VDD/8qEGxtR/rnPS45x4d1psCx5DJHJ9+JrB1+QiSIN4W9NXwinxY5KbwNmZ0+E5QqFjbqEkcya49LKEnd8IzaxG+DjdKqhFF88tkeM/elJJnxl1j1SKZpc9vv1Z4EN3wb8zbEWn5PuAsYsh6+kEu7NmxGurUOwsjImr7VYkLp6NdLuvgvmIdh95bl9F/G3AxfhZzTFYQebZo3JScY9MwswPjcFhy424Q/bzyMYjhV3ykq2o741ru1iG4vGZsETCOPwxZgRQ8cAje71x6oQCEXEWbBsfLZE7MsbvfJ9gXAE/rbK06OyknDblDz4gmGUNXgxtSAVS8fHWkVRKfDLTefaf3dCXgreuXg0GjwBkdbycYrDKpHz5/eX49VjMUUdKcp04X03jcXYnAFOx6Cj7NBTABVjt38dyOro6PcGvPjTut/gZVjhNdthjYbx0NkTeKB4CdJuXSHF23p6Tf39/A78/Hy5RPBoO92Zk4x/mnLHoB0v3a+/joa/PAWfKYxnbhqL6a1BzNkdmyORpIULpD/9a1NSsX9ELqZV12FJmQdT/vXzHSqtDxaudpyCVVVofPpp+A4dbndoJC9fLvd8a24OXPPmwZLSdUSTKYv/c2oLdjGs3AWp5igeKczHpLQRONtSJUqve0YtgiVC1YS5y1bG0pKSRnrmGMDfAlzcHWtb7K4G0kcCHiogO1fO72fypsbuLyl5AB0VnAsa635yHXDoLzH156jFwP9n7yqg27yv7xWzzMwc22FmhqZJ2qS8diuszN3W9d/xum4dU1fY2nVt123lQAMNM3PimJnZssWs/3nvs2Q5cdJgm6S55+jYlmVZ+vTB7753372xQ4Txz/NQC3xZ1ykqxhV1VSE7NAWK3rQPP/a0FKDc2I46m7nf55qu9GG4PgSVFjOOWfrM9U5GtNuCJ1btQSTUiPvVL1lxeSWBiodkFOis7mGTXxoVoIKAeU8zjy3oJidApJOhtaUVqhMOuJssQtxvtBqKJB3kqXrBiDvo+exFnTxKQM91ueIa8b8KiT/N8ZNrPxn3WSwWXsBotVrExsaikpw6e02s6ONctGgRFwG+TrAeb+coEYJ+drJwgNKFhiT9dPHpRbdYgv+LmIAWRRziFCJ0WK1weTwYq3DgrqHXI1mXEDhhu9qsHBXml/dzVElBf2fwis5afPfEIUjEXrzVuBThXi9ww8vwdlbCvv5vsLZdh/I4OY6MD8GipBEwu6z4SfExlg4vidbh3uzZF31bkFmYeecuJu7+Wb5AV3/GDOjnzz8rYyPal4yffRZw/T1FJSAWI/LRR6AaMqTf35HM0LRuLXfeB8qeVeQOQuQDD3ABwv9/rHv3ovvjjznXlvwFwu+5m4sKtKghIxqagx5oTt/n9XJRwVlVBWddPRcatDNnQD1ixFltq8uZ+NN22VXRiUO1BihkYuiVMqRGqpEfF9JPGu32eNFqciBGp4BUcvHfQ8uLv4Sr9BAi8p1Qj58MzPgB7G4Hnj+6GtV2IQ/ZfxGZF6HGY7nzzv7JqTC3/sfoEkvwuToWGpkCUfk38gyz3eNCsiYKWWEpX+rnRBLXZw6vQZtLjGwV8OKw64WYKqcFKF8PtBYC4enCYrL+AFC9TZjhD0vjbePqcbBqhWaJgyFLTkL4t74FedKl65heDFidbnx8sAFtJjvkEgnsbg8MFifPu8/OjcH49HDez+g+IuJH6ruRGKZCpEaBdYUtLKMcFCGHTicQfT8ZD8bghBDcOjqRFQGkAKB9nLrxFqcH20rbed8nSCgDno/TvmVKepQGd09IZXJ/MqgoQK9Xp5CeUUlB75FIPSW20Mw/fT0dCpt6sKGoFUVNRni8PsilYtw/OQ0xeiX7AVDBQSoWVAlnep6LCto+W38DNB8VCM2MHw6oluk0tuOPhZtRYPZwwTTSacLsmlrMRhz0c+aiJzycmwSnO6aoG/zogc/QTlLvzma0KvVMBB5OT8b1KeNZwWLevJm9KSiF4quA4eOP4SguQeTjj7Eirf3Pf+b7N8/NxdKoJKi9Trz04VZIe3fD2Bd+juN71+MFuY+yj/kapXZY8PPSNgx65vkvNLj7suE/90VqtTC8/Q5czc2scJPo9FyYJX8e3h+kEujnzoX+uutOq8irN7Xgr2V7UG0HJCJBxUSgT//JtGQ+7g50taDY4kCUTITndCpENx8TyHD2fMFksmyt4F0ikghqk1A6n4mEZKOmo0Blr1pPphYKAKdMqqP38VrBqJIUJNTBp0ICPYcqVCgO2LoAt1N4DP0PRQh1E4CeBkEFQCAir9ADJz4VCg6Jo4DkCYAqXHie+v3AsQ9OfQ1E/ilJiXydDr098Oujv6H3QMWKkfcAkZlX3HqioKMcdZYOjInKQrQ6ku+juMPvH1mFWocQMXtPUhLHHRLWtnVyBG1SRwP+b20RQm6+Cfo5c3C1wetP3QqLhGVHI5wNQmxowFcgWQ/tuFiI1TKOKaSoQVITh1yfBlnk5WVS6cc14n8VEv8NGzawoR8tZsi9Xy6XcxEgISEhQPz9uO222yC9zC5elxrGTXVw1pt4Aa5R74QqqlOQ3ZpbAX0Cz0barF34YcxEVMkThItML/JVPvx8+CJ2Rg2GtaAd1kNtkKfoeQ6Inp/+jyREjrAlWWxO0rO2Bj9S7EeDQoG7fKW4veUYOzH7WgpgMajQ5J6Pn+a6YFPKIRP5oBQBJq8IQzRi/GLYogu+ONBMn0gm4+66o6yc811tBw8ygSbIM9JZwi/WqLmbca4zW3R6MG3cCEdxMdRjxzIZp//ZvXQZrPv28f8O//Z9nP1KigLj2rXcTeGFSK9JoCw+HrJEcm4NgWnDBi5MUAdfO30aqwyMaz6Hs7paeL2pqQi/954vrfNyOV2oO8wOrDzWxNLmrBgtDlQbcLxhYEkzkR6SUBPR2F7ejh6ri4sB1OUcmhAKvUoKnVLGxCkYVCSobLfwLHRCkGw52NzsZHR/uhSmz1dCo65F+MQ4YMnfeYFGc4nPHduIVpeIze2oHETP8PvBo85+5nPnn+Gt24Pn4qah3KsT5JvUWe91LqbnWxSlw90Z09DZ0fmlfE6/LVjFrsuhEi/+MmI2wmQaoGg5ULyy/4x1MOKGwRY2D+btu2AvKhbuE4t5tlg5KAeSiIh+8trLFUSw/7qpPNBpHwgkg6f9yuKgFIVTlw83DIvDuDgpf1ZmpwdrC1pwvLEbLT207URYPCIeC4bEnXZbkBEfqQJoPv/2MUlcEPjgQD0b7i0aFo+RyaFfyXaksYA3tleh8DTbhoofD0xJH7AgcUlAUumtvxb8JKgwNWghED9CIDVB24fOcR9Vb8ey+hZY6TPzeDCxrQZ37m2ELz4RCY89CnlkpBAV3FqA490t6HQ6oBCLeR54s8EBtdWIFz7bi4354ViTkgO5yIMf7tyBqHoTxEQoRCJEP/s9KDIGHtW5VKCZ9cbvP8fFaLp2eB12VompJk7AD3I0aCOJs9OCx/dvQW6ZE77sXMQ+9xy+e3AF6p1ipKsAg8ODDqMdC6uLcUfcWJbEX06gz6W1pgaiDz+Eq7ZuwMcohw5B6JIlp/WzoedY13AA7zY0cuyeH/RdnNyHO5PSMYVGkwh2o1DgpJufYBNIfk8S+rMB7Y/u3qYDXQtSJwNRucKIJZHp2MGBc/xFAZ2HSIUwkAKBRsk6K4WiAf3/6h2Ay5880IusOUIBoemI8PhTihUiIHWSUASgYq/TBIx5UHifDQeFAkhIwmW1njgTOmwGrGs8ihmxeewn4EedqRlPHdsLr8uFF1dtQ6RYI3T9L+OEkPOB96TPyWNxwVlrhLPOCFeLsG+QAoCSBXpWVgYMBMkvgBKDxDo5FCl6yGI1/caNRbKv7jO/RvyvQuK/YsUK7vTTx0VGf0T86UYz/6QE8IPuu+WWW/B1Ahu6fVgKL83wWNqg9O6ANqJQ+J08HAei7sB/pW1o9PjgEstYnvyD7MEo7G5Cp8OG+7KmQSs/dbFm3FjLlUCKAVHlR8Dr8KDr/RL+XciCNHYtpdihtfpSfKj3Ikllx2u1KwOvqcszHr+PjEEhzaArxPB7j0TJvPjziHkXFIdGizeavbbu3y/cQQu9oENZEhHO1X/N1KmXZJFMTsnkkEy+AfzvZVLuKPmhHDKYOw/y9PR+/9/Z0ICO117nLn4wqICgX7AAujmzv1Sjs8vlQl3WasJrWypgIgddP3w+aOw+TMmJQkiUCt12N0paTKjtPNXv4KSPPwCNQspFAFILUMe2vNUEh9UNrxiYMigKYyP12LG/CRUGC2ZMT8H8IacuHO0lJWj/y18hMVcgbn4YROMeFmYmiQw5rWi2tCNFH4+XCtbgiNmLLBXwuxE3fvH2JMPLlU/jY20s/hM6BXKxFznmChhECojV4RAp9dyVIGQrgQeihyArMb3f81KOtMVlRQ512y8C/LJm+q8/zR6EkXSM7nkVMAiFKe5OpU8T5P3ULQpLgydhOgybDvOMLUMkgnJwvrAQj+8f+3S548MDdVhf2MoFpTvGJjHBp+9Jkl/VbuGOPhFwP7JjdZiaFcVd+6MN3RiVHIbFw+O4SH3yMUXdeCLxl4VT/nmCCmfvH6jHzvJ2qGQSLk6QAqDV6ODRANped45LxvScLykKlTqqFBFLKhQ/cm8ARtx1ykPNTguW1uzDpy0Gzvue2FiOJduroQuPRNnCMfjQ1oNGiUYYQaHziVMYfSAz1RsLDmJugQHKoan4RZgb1b2JAmL4MLWnBbfvaIQ0OprP+9a9+9grhpRllxrWQ4fQ+eY/+91HxnWNT30Dv6qtEYojPg8mmcqQVNaAD4bPYP8fel9qnxMvR2mxNywNb1Y3ILy7DS+sO4HQhQt5Dp6K3GQe+1XAUVGB7mXLhKJ5ahraPv4YMrsNEq3gwk/KBp/Dzp19ZX4+5MmnFlqpMLusdj+6XA7U2Rw8E05IU/jwWOZIbnREKkOhJSJO+w8RdCLrlCBh7ewj+4ljhNl5KnpSlz9tCpA5RyDPdD/P3nuFUSdKmxh8MxCRJczak2SenuNygrkd2Psa0FEmKAzSZwBDb+srljmtve9VJOw/VPSt2Xnm5yQvgpz58Lrs6PZqEDpsPsRUFKAi9rmOvn3FePrAUt5Xbis6hqmHWwMeT1cTvGdY97k7behZVwOf09sn/IhVw2N2wWvur2DVTk6AMjMU9nIDjxIos0KhGX/6ovalxDXif5URf/qIPvzwQ95Zg4k/GfsR8ffP+BPodSz4ig05vmx4TE4YPi3n791d5VCKyhE6WsJGegZHPp7qPoFusYyrcSFyH76bNZhn+M8EJu4flLLDcMjC9IC8x7CiAh5Dn3yexgCMYiueCauEVy7B743bkWNqhk8fj/cVU/G+yEMKPPx2+GgU9zTiSHcH7kkbhTSqHJ8ngp3rg0FkX5mbx1EsFA92qU8+XqdTmC08dkwwURKJ2B2Z5pfPJGcmJ2UaA6B0AVdrCzTjxvEi8UIcZK9U4t9mtGNzSRvfSEZM3cLcOB3KGo3Q19mR4JVAJROzoU1YnAapQyKhilXhSFE7ysq64JSJMHp4DLJC1di9swHl9Ua0K4EOBQmu+3/+ErcP0c1O6Gw+eOhcQtFOQad/U6gU99w9BIPi+5/DSArb+L1n4eusQ8wkQJ4zEpj1k1PeS5O5FU8d281jLI+nJGJu0mk8Fkh+SQvNjjLUGRvw3cjZcMn1uCc+Eje5LIL0khZN1/8R67qq8c/6Bjh9IoSLXHhh8GQkh8QHZKvfL9jNctW/Dht3SrbyuaLMUIMfFh3h1784Sof7EoYBa54VFoFUABh9H5Ayifdz2vdthw7BdrwA9qKiwPw+qVhonIZSJy4n0DljZ0UHz8Qnh6t5fn53ZQdajXbuqo9MDmPDvc+ONvHjH5megTGpvTGnQSDyTp17iUQEtUyCMI38sjumvgycrJChhIJ/764JmA6SMoFGCL6UBaDHBdTuAhoPCxJswtTvA4kDR/qurN2Df9a38JhUpKEV0ZYenAgVRtfkPjdGWboQL5WjvbsLheFRCPE48MyKXdAoLYiZHoI6pxi/jB6LFmkYcyP6jH+5vQj61v5KiGDCQNvLa7FelKhKcuknxVnEgw/Auv8AK8/I2JVy6gnhd96MP0hqcdghR7yrA03SCKhpQs3lhEPU1xF+xHwA860dMI95EPe2GeGwOfD0zr3IaRG8H0iVFvfLFyG6xPswFVjc3d08m0/KBfP2Hej+9NPASJ3fgVydEI+oxx8/Y0pNIPK58RDera+HOai7Tw78i6JCcUfGlD51I53/9/1DSCKhcy6pm0hiT13gobcLM+/URSf1JHW2aZ8iH5OvG9pKBDUAjRlQbDN5FJRvEAohZNhM5oO9+7nD6YRCLheOfSqqUPqGVCmMnJLZa1jKl542cC54u3QjlrebMNRlxEMf7uV1WdyLvzhlfITOH+7WVvaSkKelXXYjMmeC9wuuUY6aHpi2CrxKGqmCbnoiFwCcDSZei5GnmLPGyJxCPTpGSP7qHUdTD4+CLFHHyoBLYdR9Olwj/lcZ8bfZbFi2bBl/H0z86cRCM/4tLX1xc3FxcZgx46uZtfuq4Kjq5uzPElUzfh/ajkWdLXhgzgIgKhtvr12GpVIPQrwufL8jEdnjB0OV/sUVaHe3Hd3LKyGSihD+jdxASoDlUCvP+ROnIpmPZlwsHJU9+E3LJhxVyTFP78IT9hYUp03FD0sq4faJcYtOg3vGXZzuB8309axcJZB+MrF78EEosrMBjxtifX/37C8LtE/SbD117aXhp5KFyxlfFUmhbfaffXXYVtoW6NSP0mswRqNmd11DswV2s4svHHKlFA5rkFMvzT0HzTyf/DNBqZVDqpUyUXOLwbfuWjPo0q2RS2FxurlLa/f6oItRQdItZJd7w+R46olR0J9E6NpffRX2I4egj25AyOBwYMnrA3Zy3i3bhKVtxoDpX/rJDuBVW4G9r4NE32s0MVipykaXMhY5Ggl+QyoB2n+p40TddJqhn/gUqlwWvFi0Hx0uQC8FnsrIwfCIbDx7ZFUgXmphpBYPDhp4FpHckBstnZgcO/S0nzF1x757dCM63YKZ34vDFkKy449A02G4ZYnoLNHBY3dBPXoMJDotjOvXw2vs8w4hmXHYN78JeaJAoC43rD3Rgo8PCovTgUAFJ9ofCEtGJmDh0PMvonwdiP/pjung4smI5FDcPTEVcokYDQYrUiI0l94D4NC7QOkaQUadt1iYcyb5P3U2g7Cubj/ebmiAhapcTgeTzBleC67bXQVdR+9+LZFAJJXAV3eEi18Rk6OhTo9ixYs3fRZsEgl+tPd9VIsjcBMsmLWilDvUNVkRWO7swJyyFoy/4V6oR47gOXzz5i0Iv+ceaMYLkbfnoi5zVFYGyEXzD3/E10EyrqORNurOR333O/B0dMBj7IbdvgoPacdw4fN3PTvxi5g5EM58QJrMjefThvB8eSydi2h8RyzFbzMWYLddhaHdTbip0YbQ8gZIac79qSehHCAamYrXnW+8yWSIRtPOxgCN/sZ2+DD76ygHD2ZlG/nhdLz2GhMoSWQE4HIFkgioiO5XXHmGDkHCN74B6RcYgjZb2vBK2W6csAjXg1iZDxPC9FBL5Jgely8kkVAXm+b0KYnE6xIKscGgufnZLwjd+ms4PWgkgMYDaDtREaCjDF6FDrbq/VA7hLHcUyECtFFCIYWub/k3CccmzdjTjbwMqOjyFRYFTnRW4EfFBVCKfPjdmgMQd3azIbNqyGCYd+3iY48MlV1NTQEPJ0VmBnTz5rECVDNxIhfizhacSHHoEHpWr4ZEo4HuuvlQ5udd0rWs9yyuUc4mM6/7SfJ/8muh9ZZxQy1czX3qS0oQCFYEqEdEQz0sCpcjD71ySjRfY1B03+ngCDZvo4uF6vI0nriUoBgPwr5wymoG9ur1uD80DZ2t7fhcTNV7CW6ShyPBGQ7r/lYoEgWCTPnB8iQdxHKJkDnaZIEsTgORVMwRfgRplLpfNCAdyPQ35PBJf0cQZYkxqSoURxVW7DJJkO4YjI+qqzkGLNflwG3xF26OQosfkv6RYzHnEFN6wZ3f4EXVVw3alrKvWYrEhWLZkUZsLWkLGJ2ND9eha28b2tDXNVOHKDByXgr0kUpYjU40FHehtrALLrsbUoUEEfEaGDvtsFF0jUiEmDQ9NCEK1Bd3wW52krY38Fx0aQsn2X+UCiPmpEChkcJicsIhAWJCVagvN+CD9wrhMjjxn38V4OFHR0Ai7bsgUkICuUabawHdIA/EdfuAnOtOeV93pE/B0Z6VqLIDLxbuxe9HaBHpLxB0VaPg6P+wKSQT+9RZsIpV3DHRy0R4Kmdi3wV43CPA588BbcXAyqeQnjUPv8mfjZ+e2I4WrxwvlZcjsroUHW5xwFhwp8GIb3s9pyQK1Bgb8fyJA6wYONHTikdy5vS70JNKYVNzIbZ1GdDpFiNC6sNzebMgoe5O02E4utzoqHDAaxfOB6Z1QsqFX2GjGT+ezS1lKSmX1fw+SdKLm01kMwCDxRUg/eQLYbC6uItIHX0y3iP5PpF+csq/e0IKpmR9OYuVHlMX7E4bYiLOv1his1u4I6uUX9h1z+P2oqPeDIVaOEZoW5wr6PO/cXgCQtVy/Lc3crC4pQAut5fVPGRK+OSsLB67uWQYfpdQNCMTNkqzIVAnN2OmIMHuLQDMSx6LMZHZ+FfxFhhEanwzdShyw9PhGtWK9t++AK+hDZFPPw9J5z4Y3j8KsToCqiVPCR1LmZLPJ9S7nxUSgn+aABJCf/P3v8UxYw3+WF4Mm00Hj0iMQR99xATdvGUrdzkN77/PxnRnc73gJkdVFQz/e58NXEnSrp0xg4kHwd0uRGeKRXYomj+DaNQ9QN0eLK1UwyeSIEPuQs7sn2Nk/TFs73ayD8mTg8Yj1l+MpG1laQfq9mJO407sjpiF42HxOB4GiDLjEdPTjtuPbsTMAYh/9wcfwF4ojFd0ul1cfKf3KFYqIEtOhv766yGLjobHZGLZvsfQzf42nIrDcZ4hnFrjqqtnnwICpX/4f0ckSjtjOu9TfpJypjlrcnn/tHoXPm7p4HMdvdcbonW4M2Naf++i2t3A/jdPnXGn8S2W/J8Acm+8RvrPBsFJGtlzhZvXC1P8XKhCVRCR/L+lQEg0oGOQPAZINUGm0wRSvQWP6PhB10uKyKUiDT0HmQrSzxfTE+EMyAtLh1Z8nNUi9bNHIeXDTTCtX8+3k0EeTnRcOyoq4ah4je+zHjiAqO9857SqT3+vmc3IXS50vv0OF8QINOjoeOUVHhkKu/NOSMPO3KTzmM1cNFCPH3/R0wfk8acfxaVmi25qIiwHW+DpdkCklPLP9pJOOKqNfJ+9tAuqIZFfatf/bHGt438FdPzr6uqwc+fOATv+Go2GZ//9GDx4MIYOHYqvE7o/K4O704mfph5CvVOIkPr36Ln4sHgnVtmdiBe78eqUW2BaVQ1PjxOqwRFwd1HF0gJ5oha6WckwbWtg6Q7JejSjY2Da3sDZoSTbUQ//4nnNznUVeEp0EMbeyC9iJOFuB37emoPkxUMh0Z+/OYrHbEHnm28GYu6oukoLi4E6Eddw+XYnybyPZvhLmo345JAgI6NosJExeuz8uJwJfXSqHpGJWkhlEsRmhkDWW1zyw+PywmpyQkOFJ+r0UyKC0QmpTIwDhRtQUX4MC+beB69ZzY8lszaXw8OKAYVahpT8cIhP03UsKOrAiv8UQez1YeyoOMy8KTPwWPKUaPn5C3BXn0BohhW6sfnA5O8IZkcEcl8mN+fSz2GwduDZ8AnoEOuQKrHht6mDoXRasLxqK96WDQLEMkCuRpjUhwXRkbg+aQznFPffWOXA4X8Lc5j0OeUsQE3MVKzqKcIWg4NjpQhPpyXjzdpaWL0i/DArC5HKELxVeQj5+hDckDwGzx1d3y+Len6EGjNis9FpN2FdazWOmb0BGydSKbyQOwI5ch0c//kezAV1sPaEAppYyBITOYbPduQwPN090EyeBM2ECZelvNHh9uDVLZWnmNDNzI3GnWOTTylQHKvvxvaydszOi2Fn+vNBZ3cryqqPYfSQ6ZCIpV94TO08sAZbl/8HPrcHw2Zdh4Wz7znlsXRsdnS3ICIkGpKTTLuq6ouwadNHaD9WCbFUibEz7kBsRAb27lsOY2czJFIZZAo1oqMGISVpKOJSItknY/u+lSjaswMpUbOgFqdysazTdwLlO07AbmiDWKqCQhOJnFFjMXLKcMhVpLZxQywRcVFAqZGdVYGnrtOKf+6sQqPB1i9xJ1qvwDOzszkR4JKB8stLPxfmtA01ARkyE4mJTwHRgwBjM7xH3oOj9hAUgxdBPHiJQCw6K+Fb+xP4PC6IdRHCc9ERMv15QTlwEiwOI+7d8TGIVo/XS3HIpeFRGfoTjbEDv10pdLiZ3PYakciSkhDz3PdZIXa6Irfhww9hP15wSiY9FRGsXR34aHIqjmtCMb+qEvNrCxA1Rs/+G257D+7Xj0C3PBKPp6fxuFFVTz1eKtmP66OicVP6lP7/jM5bm1+Et6MUr0bk44R+EDq9MjjdNJpggcbjwGvxQyEur4Gzvg5ek5mjbKkISip6ibS/t40fYr2Ox9coTtdvtEuQhIXx+/OagtRCaWkcP0sdVPYHycvrd175omsUkf5fFazGod7otgwl8ER0HNLJ6Z4I5+TvCkSeOtTrfywkkFDxg3LvaR8hUklz+9dw6dcTNCpAiQXKEKBkNUCJCTxErgKkKuFYpc9nIJCJJiUhUPGOjkXyIiBjT/JmoOswFRbCM4RRgotkcDtGJ8HTHRqYt22Hu6sTmjFjoBiUC5Fcxuoe8vVwNzWh/ZVX+Xih/ZvUKyKVEpqxY7lQR/syJ0N5PfA6nLAXHIdYq2PTW9rnnWRYSYkU181n3wrTli3c3KLnoHWuz26HRK8PkHs6fijZgsxyyXuIYqbJeFp//XxY9uzl51UMGjTgeZrVQ1VVsBUWwqxWI372bB6ZpvQoV10dVKNHX3ABn4wAuz4uhc/ugX5WMjcKCR6jA846ExTZYYGmIT+e1mnkDxMUIXg+uCb1v8qIf0lJCQ73VsROJv7k3u92950oxowZg6ysLFytONxegr0dtehxORGvVONmTQzs/z4Ki9yHp4aL4CVNs0iC5xPT8V5DORrFcjwYGYUbhk/jDr9p86lyV2VuOOzF/c3mCJIwBUKuS4VY8cWLe1eHDQcPHcRmZSuqHC5e/DzWHIlMUTwivpV31lU/mvcjwyJpTCwU6WlwVFej619vs2M+VVdpgaAaNuwst9Y1fJnEv93k4Hgz6qoOTQwN3E8yX4pHO9kpneaAFw2Ow+6lFTB22BASpcaEmzICnXYiU1t3LYexuwNulxNypRrZOSOQlpSL3fs/R03Jcaj0egwdMQWFBXvRWljEf6eJi8ETT/4Rctm5V8BfW16Mrv3tCFfKMGteGnLG9aUrkMzP8M7bkJhKELcgDiIqCpCDOIGilJx9kTg1Sh1+oBsDq0iBCc5q3GauwXPhU+ESyTAqTIu5CdkYHTUIUn+hbCDQpalmB5vr0UWqY8RTiMiZgFpTEz6tOYhsZxduUIXiL5BjS7cLg1RAk9MLo0ccmGml7hdlUc+O1GNZW99iOxg5KmBKZCymhqchpHw9TJ99iO5D7cKiOTqPJbfh994rmJ5dpqCiUk0HxbwCG4ra2MSRTOfIlI9+NyI5DA9NIWPEi999MBg78Pe/PAu3yQJFeCimzb8DGkU49KF6tHXWo6OzGYnxmcjLGMVE/vN1/0bd4UP9niMkNQnxKdkIC49GVEQ8LFYjdm9aBmtrB8RKOWKysjFs+FQMzh6LT1f+HXU7j0BqVUJELpUMEXfYfJ7+Cjj+jVgCTUQupFI1upsP8EJbJJYiNnUuutqPw2ESinA+sY/X4CKfiH8fnTILEWH9zd1IhZM2LBL6SBWP4mjDFPz9QKAxG0ooiNDI4fH58OcNZeg0C7GI901KxegBPBQuOugYInJx6J2+7HTqInrd8Hk9ffPIbHI2HajfK8iQ6bj0E5DUKcDEJ077L/6w4zXscKgB6izL1JxYc8LihdflxourtiKcMsNFIkQ+/ji63n6bCQKZ/4WexoSY4uk6Xv+78INUAs3YcUw0zFu3oU0nxj8m5KAlIgE+u40X8hPt5fieowJ0ttuqCsOf9ROhVWnwr7GLTsk4HxDkYr/hJ8I5TKaCd/yTaAxNwI+3r0SnSIGFNSWYe6ILHXopooweNIVJ8c6oLPj0IXghLAPet97n4kbI4sWQhOjRs+IzuIJ8l6QxMXDGRaA0LRRpoyYhMyRJUAGYTCz3J8VQ8Py0zW3DxsajHGcaKldjbGQ2bN3WAa9RdP36W/FaTl6QeOz4lvkwbhT5IO5pEogggaLyBt8EFC4XUo4SRgkeEJeRQulqwQWvJ6gQRWS+vURQZdBYRluR8LmdLcJSBUNG+pzpezKiJQNGulbLlGftd/P9wiOsqHt52DgkaQVfidORYlq38le3G+1/eyWQ0kT7GO3b/WKlTwKtaykWWjloEP9MxYCuf78HZ01Nv8dR/DMrD0uK4W5p5cIDF8v8z0PRnHYhdUeekozIJ55gE2nTps2wFwtJO3TuAfkb9fpm6EeORMjCBWw4TcW4ixVfaNnfAltRJ+TJOuhnJsPr9KD7s0oeBaDRAd3kBMrThFghgWF5BbwWF8Juzrog8n+N+F9lxJ9IP5F/jp3wePoR/5Mxbdo0jvi7GkEXxHv2rYHDae+NbpEh1GnE3ZUe+CRu/C1dD69XRhbxmCISYUevudk7E2YhQhPGRROK32MZP83ox2vhauwjK4q0ELjarcLBGaGEfm7KWZH+U15nYQfMB1r4xKKK1CL85uyzm3M6fJij0/yO99QZIYkjnajIaCjysccu2xnir8uFmiTR64ta4TY7EdriQmS0GvoEDVp8bqwuaIHL4+X11G2jk1hKvfxoI3ZVdPR6+YgQqiZ3fTFGp4TjhqFxOLy+Dq1VPbwWb5StQltdGZR6PeQqNbqqa6idcw7vhlpQIv6bhGHDMHzENBw6sJH/b+7gcRgyaAJkEhlcHhcTK7rFRadAo+qb/6XEgD//5ziiW1wYOSgS193Tpyqhi3rzT34KT1sjwkaFQRtK3iJBlw8yfaK54uTxbIa3v3YXXqquY4KhFrthFSmRr5Hil6NuHnBbc1GzuhryxMT+RkJE/Ku2wSYLhXL4rRA3kwz/aGBhWxiZjR+qRgQWspSa4fCCCwB0z4+yczAmOg/LqndiRWsbkzC5CMjTKrEkaajgQ0CjCwffgqu9A62fN8In1UI96wboFiwZ0DH7cgF1llcVNOFwraFfqgNF7j0zOwuZ0bozRjVeKJwuB1599VmYG/t8Zrjh6/WyBD/4v0q0KnisDj6fERKHD4c+NBJF2zYNHEnR+2QSpwISpwweuQsepRMykxoSpxxybRyiEoejy3Ic5lZaJPogoS5O5ijAJ4LZ3I6e9mp4rDZIXFKIvBL4RF6I5Aq4xUZ4pW5IbUqI3QpoU1ORP2sozHYDivfshavBxP9XHzMcyeljIJOo4bQRWT71dZJqIG1YFEKiVazUOR0ocvO1bRWoaBWuOaSuGJUSBrvLwyaLk7OikBl9/kkvZwQt/A/+S3Bh92/a2GEw6HMR1rIdIpr39oNmjGf/HChaIUjhxz96ikdAMCob9uNHxUcR6TPj1pxxmJI0AY8fWI4mlwgPlpVi2P5aXrBH3P/tfqSeFuaqwfmnPF/Xe/9hDxvNhPEI+8Y3+FxA8/Glv/oZfjMyCV2qEOi1CoxVS7C53chzTPlSG55p34tf6wejSpmMBTFheGjQ3LPfPhRbR54eNCZBhm0zfohlFcV4y2iD2ueCRiZGp0wLjdgDh9sLFyQQK+QYqRXjB0mTIdVqA1JjUuh1vPIKExf1jOl4P1+Pzd12jjuViYBn0tMxMWYI6szN6HFaUGZswbaODvR4fMhUSVFhcweKl/xxiL1YqNfh1kEzhZhmnw8Wtx0vF2/EMbOL4/lEHhee7NqCWWTM5weRP3LW90vL/V3j+b854+d5DZehgpDm/0ktQMcxHauNhwTDwJh8QdVDnzudQ6lgEKwYoGIcmX8SqJhHSoGoHKDlhODvQGMF9ByR2YIKIWi/+PGRFSiweDEpRIbnhiw87Us73FaMgu4mzE8chmh1JJ/7HSUlMG3dyqodf6w0RT7TGkI1dCgreZx19RBrNTzCQ2MxwaDnMG/eDOuhw6wqoJEfan4NBFIB+cd+yCDTYzaxBwEpBujryRCr1ZBnZaHn8GH2XyGFsB+UThX93HNszusoL+fHUiqDu7WFlQvSuDhen5wMt8Eg+Bv0qgD9HmH01Po5KXBU98BRfmo0M/EMSgYj0OPkCdorg/jTn2/dupXjeyg/vqysDJmZmV8rU59LTfxJ5k9y//DwcHR2dp6R+M+fPx9hXzAXc0XC68WGys14pb4Zeo8Jc+yV2KJIQ6coBHKPGGPsHditDYHYK4ZbpIYEPnhEIiTLvHh12m2Bp3Eb7DDvboIqNxzyJH2g2kb5nKGLM9mZ09lohiJZB9F5xk753F50LS2H3WCBJi0coXNTz/x4nw/dH37IHQ2/TJClkb2z/OoxoxF2xx1c8byGr+ZC7Sf8eyo7ePGfUOeA0tZHyh0KMVoS5QiPUKHNKFS3KdqLZnsJI1PCcMuoxH4S36JdTag+2g6Xx4JK4/uw9vSRJz+UUeGIT8+GVCpHj6EdHTVEZOxQRoYhY8hovq+ptJi773OW3Ae7w4qtH71z1u+fzLsiMzMwacoNGJItmG79cXUx7DvbEKlV4O6nR0IVVIWmi3n3Bx9CrNUi9pkHIHFTZ1wpuN5TR+EkSfaHldvwv2ZhMaoR+/DXEdMRpRq408kGYJs2QzN5MsK/GRRH5jDDt/p7cPS09rklE0jWaGqG12XBo1FT0aKIRZhcjN8NnQq1VIXP6g4gXqXH9ISRA795uvTRTCsRnJYCPg7bd5nhsIZBMXwsop5+6rKa2x8oAvKP60vh7s0YJvM46vKr5RIsHp6A5IgLy5PvabehpqADDpsLrW1ViE9OQmJ6HCKTtNh7bB3KS4+is6ke1tZ23o+uu+sRHNq2A4biGlB2qdgngVimgkSuhsPdCrdMmCtW6WORO2wmhuZOhbXHgdITJ9BUWwiX0wiXwwyP3cqjJZrINMTFjoeppw1GQwXspnp4vQ6IxQpEJU3C5IWzOOVCJAa27F0Om9WM2VNv7TfvT8f39v2rsGfDUriNFiSPGo2bb3gEr7/yHOztXawmmH/boxg5ZHLgb8h34O13f4GOsgrhDokYMq0aHpsTEpsCEocaclU40nKmQuKK7itakNlqvAb5UxOgCx+4s0bnA/L3WHui+ZRaB6kzfrVkCH+GlwxEIKiLSNtGEyWc+yIjIG45JhiUEdGf9PS5y4XX/lDwFRh5NzBoAX5XsAq7elxYoJfh9noRtJPGQeJoY9Jh+OgTmLdu5euZduYMlgSzo33vtbD5+efZ4I6OP2VubiCK8Pm9y1Fr9SJC6sJvOjYh1uvGPoUevw+ZAJcyTGgGeD0QSeV4bfjEfvnkZwWPG9jzN575p7EH95xf4NETu9HmE0YS/H4ihEwl2MeErgAPJMViQdI4bG0+gi1t9VgYn4mxkblMbvY7GvDbysrAKBGRdPp0lWIfjyedDuFSH9JUUtTanOiwu+GFCLdEqnBPyxGguw5vps7AKruwHpD7XLjLsBuLzc1CHn38SEE6ThJ+mwE49oFQ2KBRDur8X0Ci0DVc5sampF5pPAg0HALomCbST8o1uj77IxpPCxGQvxgYdgf/VNBRjh+XCHHNt8aEIlyuglQsweyEUeh0dONIRyWKetqxpVtY70hFwE0xobgrs89c3FFVzcbPtIb9ophmp8eFPa0nkB+W2ucL1Au6HpCnhu3IEYj1IVDmDoLh/Q94BCDi4YfR+c83WZEXfvfd8JjMaP/LXwQ/DYkE6lGjoJ0yGSKVmlNFxCEhfJ5pKSiAeNUquOob+FxECgIi+8KbkQTW3ydDkTuIk3uoYOF/TzTqQMQ/9JabeSSQYNrZCEdFd78Th3pUDGwF7fBRtvdJRWRKDlCkhlz+xL++vp6JZlFREVJTU1FVVYWf/exnWLp0KefOp6en4+uAS038169fj46ODpbwU2FlIOJPc/100hlCsrHLeLF6XqAFyZH38FNdNo7JErHQWY4H0ybA1ngA33MnoV4Swu77Ip8dE7127ESfzHpRvA4P5c077VNTLIdlfzM0o2MvqNp2MmwVBnRtrkboxCRoBp9qlsWxL+XlLD2yHjwI26HDvHCkOSUy9vFZrbDs2QNpbCzUve6+1/DlXqhJqnugpgvbytpR2danDBmlUEFRY4HF7YVFK4asxw2JF4iJUGHerdnY12nCp70z/BnRWtw2OpE7r36Yuuwo29+ClsoeGM3NqO36BC5vD8tZx867EV6fF4bONgwaNBrDBk3o97ro9Zos3QjRhfe7j+B/3PtL/4qKPTuZjEVnZ0Mqk6Glshwec9+sKbm+sWO30+9CK8LC+57GiLxJKG424v1/HIPK4cMt38hF1tC+/ZfMeFp/93u46uv5whf5xONnPN/Qa3u5eB329tjwVFomJsYN7D9ChkCdb/1L+EEqQfxLL/FFPfA8jUfh2PJ7KKNSISIinzhWcEA2NnOO+T6HCWvVybgnNAKpZPJ1JiMkWuDX7QFKVgndEn77Ephsg9C9rxEihRKxP/3JZRfJF4ymbhteWlMMm9ODvHg9R/Ilhl0Y0beZnXBY3DwL39lkwcE11XA5Paiv2wJLZzHP0kcmToHZVgmD7Rh8UqGzRHL7MbPvRIRvKFqrjUxoHU4HFHJFQE3s8jjQ01MLuVwHfa9s9Gyh0snZ+6K+uAPd3c3Q6sIxfmEuopJ156RMaO2oR1JcZsBYcNveFRg7YjZiI5MG3G/XbnsfJ/ZugaOr/4hOMEIT0pASNh0qbwqc1t7tIRYha0wMMkdFn/bYaDPZcaDagBNNPWz2V95mYkXAraMTcd3gc9s+lwVJKVvPihmWlc//LZY2HMa7TR3IVfnwG5gEgzOKxRxyK3w5N6D193/gcwiBZv2jv/ddTsagLnnrb37L8t+EP/weIpEPNeYW/Lr0IFpcImhEHrzUuh6pRGR7cSRvMX5tVXCsZ7zMh28mZ2BS3HmOw5HUetMLgdnpfSPuxhu1ZRgVosVd6RNR2l0Hk8uG6fEj8F7FlsD4kDqIyMtE5BUyFINC0/DEwRXsMTInXIWHcmbhD4Vrsc/oDjwuROJDqFSM8eERyNBGcec0RK7E/MQxPKbgPPwe/tN4DMuVgyEW+fCz7p2Ic9vxRORMuCQqPBTixbyK9ZC6HYK0e8qzfG6/hq8p8T95XzY2AnqSlcu4YMTHIY0NUJefCvCkHiAjWzON6vV6hY3+thBBCOCNkvVY3dHnIUbIVgE1dmGMzo8YmQ+tLuHnp1OTkBWSCL1cg5BeBQEVEZY2FGFRfDbS9QnY3HQMk2PzhJSJXtL/y+NrcMziRajEi5/njTuryOvTqdnIANRWUMDpGQMZBHp7P6eo8HA4jh1jQ04qHHS+/TYcpWVczKViJBUcaL1AnX5SUpI/gD9mU5achJhnn2UVQ+P3n+P7ya8j5v+eE16b24uez6u5o8+xf6NioBoUzvfThdFZb+QYQK9NOB9oJ8ZDmR12+RP/m266CWPHjsWDDz6IW265BVvIlAHA7t278bvf/Q7Lly/H1wGXmvjTdiRn/3HjxmHv3r0DEv/FixdDTbKUqw0kTdzzKnrEYtwXOQcesRx/yh6EjN6M4q0rNuGPGgNEciHr/KXoHPy49gTcIiI2IrwweDBGROZ86S+bTiytjS2Ijo9h85Bg0Mmk881/wnb0aN+dEgki7r2HJZHX8NVeqP2xXBuKWplYEWg2enhSKGZnRqJ2XQMb5uVNjmeJLxGmg6treE6fTuhRSVogTgVVrIod+/3HKT1v6b4WVB5uh8ftRGdXKVoMG+CWWyAL0eL2e/8PaYmDLsp7Kq05ivio1ECBgO6z2k0QicTsfC/vnfU7Ub4fm9d9AFN9I6Q6DZ589q/QqPT41WsHIa63YujIGCy8rf9rImOd1pd+zUWA0Ntug27mF8eHur3u087zU1RX+19f5jlBIgH0vPqFC3n27qwWVCR/PPIfoGJjf0kjRZmRPJIucRkzhPuqdwhxZ/7uB82Fp8+AsUYB4ybBQDW4an85obCpB//bVwer08PycCpMUWHp2bk5F9QlJkf7ikNtqDzcxmoWuVoKt8MLr8eLpu5taG8V4r7EbgnELlnvXL0I6pg0KGRR0KoTodP2ekGIREjKDQMUTsQmREIilcBp96CusBMd9SahuBmpZKNJ/l8qKcLjNDwrT0aUBDK0FEvJr8XHx0xItJqPP4fNjcYSA6JSdKftqF9s+I8lq9UMrTYEUokMJnM39uxahY5SUgT0ZjfHROHOO3+KhiM2tNUIcWwJOWEYOiPxtGaawaBxoH/trOYRjd/cPBTa8xgx+0pJChmNrfk+YO0AksaiMO9G/LC4AGq3Gf9tWonA0IcuDlj0l0C0HancDnhbYYoKxa3feg6WjRthXL0GGJKFNwar0ESzsRId3HI99BIvfohm5NIxTLPLZDhI2eghSag3t6LdZsDwyJwLfy9kvrbmWYEITXhcSDIY6C17XHiteAN29tg5wYdk/FFSH484aMU+5KilOGT2cKf/7yNnI1RJo4he7Go9jlCZBjlhFPV4hoQH6tYufww+ew9eCs3FfkUatCIPQqQ+NLqkyHK34nddh4RtGztUmNs/G0+Da/h6EP9zxYmlwPEPhc7/gj+wMoTez38qtmJpWw/i5T60OEU8skKgn5OVMkyLSsH4mMH4e+kGrOu0BhrcpFp5eeRcPjZfKDkGu1c4RnQSH7rcIkRKvfj98Fmwux34S+lulAb1Jej4+fPwaYHCgB/0eva0CuMDabrYgKqHjsUNDQeRpotGXngGP+63J1ajzubCi0NnwOvzoN3ejfxwofB7ps+JvDe8NhsT/5OLCu7OTpi3bIFl92427Qy58QZIwsLR9U6fyjLu1y8Fig1eu5sN/chEXKw+9Vin65t5RyMcVT3QjImBKr9/s4FMyK1H2qAaGglZlPryiPMzGAx4/vnn+fvgDTRx4kSYglxLr1a8+uqrfKO5+0sF2jHsvYYVJPU/HXj26yqDr3oPzCt3Qa6Kxba8LHh8YXyy8ZN+j8WFwYZYDJK3oEyp5qp7TkImEqqOolYqh1omwhCSA39FoCrfKfmfFGn0v/cF0i+VcN6pWKmCbs7sgLnJNXx1oM/nP3trsbVUmCeL0MoxNTsKw/QaGOvNaNrazKRfF6lCyhDhJE1S+JChBhz+zwo+UdfVpSE6ZgTiUmJhmaGESi/FkeKdKNh8DMbKLrjt3XCJe+BW2eGTe6BLSsB99/20Xxf/QkAXstz0kafcp1WfKiMbmjMeKfHZePVPz7A52/sf/QkP3vsCYlL0aK+3oq3OdEpVXRYXh5AlS9D90UfoWbaU3XWVOWf2sQgm/UTwnQ0NTPhtBw/BWVvL9yvzcqEeN54NwMzbt0E/dw6rYdwdHVBPm3b6JydZ69gHgaRxrAzizkYDmbgFgWYfg0HzjNnXwZc6A10fLoX1gED6yXRMO2sWLjeQ8/6rWyoCoyOEuFAlnpyZec6knz7PtloTk3ELxQ5ZXJwAQaDo0ubGEvQYymH3NsAuaQW5puVNn40eQxsajxZA7gxBXPS8PuM7kQhqvZyVAtTp1oTKeVEVGa0LLKriMkKYuEulYkhk57cgVqikSB/x5eUin+5YIgzPnYiK2hPYuu1TtBQX87jDR5/+Bo8+8lu0lOtRsLURjaUG3r50niAfgJMTOoIxIT0C6wtb0GCw4d3dNXhgShoUJDe9UiBXCykfG3/GufBZ4Rk8bmd1e9EgVSB5yG3A0fcFg0FjM8T6OJ6HbU2PwpuHd4OmVWyfvY75BV1sslegdOG4a7Igk/X6kOHrwg+ShyNq+yfC/6ORApID90qCk3SxfLsoIAf8vBuBo/8Djn8EJE88ZYSJ37JEhmcGX48HXTYUdlUhVRfDI0bfP7qOu/xE+gmLosOY9Pv3pylxw8/uddTvBxxGfj135t2O2qZjaPUpwdozkQf3KbogtoQIKQ0TnrxG+q/hwpC/REjTaToMlKwBxj3E++vd2TNxV6YQlXuiswIf1RViRGgEbkwJiuAFWNFSfWQlynoJPJH7X5/YiGq7l0m/QuxjVQ7dT6A43scPb2blACnfqSjwUHIiljXVc/Hs7co9+L+TvAXeKtuEVR2C+lKEKsyNUGNh4hD8vXw/Cq10bWxBvroAaWoN9rKyRoTXynag1OLmeMIhmkI8kjUe8eooJv9UdFBKFf3eh0Sn49tAkEZEsCkprdtJoUhpBZT4E4yOV15lXyMaO1CkpZ2xi0/rKmpaEnzOU/2ciPQ7601wtVkRuiANEv3FiSy8ILZIlYXTZcs3N/c6yF7FePzxx/nmr7RcCtC29Et5qYrj30GJ6AcXHE7uKl/xKFsP57bVsJhGYE1EDFb5hAvnpCDZjps6rAC+5cnAHyWNmBymh1Qjx6C4UNQbHcjViM/sGn4RQN176lCejeO3q60NPcuW85wSz4N++36oR16T8X9VoA5jj80VyJW1Ot0s0SfSTzz3WxNSMTUrErUnOnF8TW1gllcql2Do9ETuQnb1tOF/7/8BhkrBxVakEsNp6oC58wRqynQ4sF0Dh6cNXpcdEpdQ8XVprPAoHGwkkzp8LO68+TunxJV9maCCw9ybv43P330NLYVFOHB8C9LSctG6uxUWiwumTvspzuWUMU0xOlTA6nj9dUGqe5rc3uDMXdOGjTzf28/lVyrhcZbQ2+/gHOyepUt5PrblxV8GDH1Mm7fAM3wYyC3A3djExQeaG6RiWSAWjMYI4n4PGGqB+n1Cx4zGAaiDV75e6PLr44HcRUDKZHgpu/0f/4CjuIRfAxmJaSdNwuUE2jd3lHdwMYpI/4jkUM6Kp10xPlQJ6Vl0k/1Ev6msm6X7FP9oMfQ3PVJoZHBHlOPo0eXwdDog8orgUTj5PJU3bRZuXvAwP65yWhHC9JEQ27Vw2t0cK6nSyvp1tf3Xq4GI+9WEzJTByLx7MIoqDuLTf/4exrpG/PPtnyF/2ERkTslH9R4rulvpVsfbJzpVh8SccP56ckGYziV3jE1mzwYyavy1yYHHpmcg+lLG/l1sUN74yHtY8i8v+BiJcTNQCylW6TOQqo7E4ejRMLjc+F7NDsQPFXx3/tVUCB8pFS1WLNNFINJ3CCNMjaggAzKxFGNlZtzVvBvJXjfEzdvI9YsVBSxVvpTIvk4gP+R5QEqinOsGllJ7HNAodBgb9Hp+N3wuNjQcQavDCrlYglvT+vwjzhp0gFdsEL5NnwGVKhx/HH0D9rcXo97ajSR1KPITB05FuIZrOC/QOYkKXkT8q7cBw24XCuRscyLwi8ERmXwbCLTWfnHY9SjqqoLV48TvK6t6ybgIaQoffj5kNt6p2Amb14Pr43Pwm7ITgfEYiqB8KnssUvUJiFeH4UfFBRwn+G7ZJtTaLDhu9gSUAoQ4mQ/NLhErDNZ17uP7qHBABQT6n4XWvtFMIeZS+DsyK/zOsV0YpBKj0OyGp0rCowV3J6UgWhmCSFUI4jRfHN9NsX+KbdvgqKhk40ECmZFSnCAbclMB4G+vIOq73w0YctN12LJzJ0ybNiFk0SL2HuDN3usl5nV5WCFA8X4SnVxQC/Saj/scHhg31SF0UQZEF8ED5oKuxKNHj8Y3v/lNfPe734XL5WIDOnKfJ5k/uctfw4XDZhPIrUKhYHJPXgqNjY1caCBDRT+uOFnRmVC8kqW7Lk8SXh7sQYEmBLADEXI3ZosyOSeTOlPuNsEsKj0yGe+OHx/489uyxsFRtRe3plxaUk0zRIb//o+Jf/T/PXeKM2kwaF6/67//FQxDRCKE3XXXNdL/Fbuhv76tgt20lSIPkqK6Ud1hYXJF17/7JqVhXEoYSvY0o+qIcJzFpIUgITsUkUk6yBQSHC/di1XvvwaPhY5REaJzs5GSkY/CAztga+6EzOKE12TkS45UrIZCH4+I/BjkTcpDUlwGwvRRl81xO3rwdBzJ38LE//DBTZi1cDS2qMWQ2zzoqDefQvyJuFC0JEX3kFdF+8t/Q/Szz0IWE93ftPLjj2Hdu49HWShqh44Vglin47hKRXY2Z/AGV9i106dxJBZHWMpk7NrrbGqCa9t2WBVyduGl+WDr/v1M2GVx8WwCFrJooVAEIGOyk83JBi1k52OPVwnztm1w7/gfzxNTLNDJcUKXCwwWJ97ZXROIgRyTFo4HJqd9Idmn7V5X2MWkU6WTwdBqRUddfwUeSek9+nokZiciIy0HJQ37sJbOT7T/q6WIy8tFTu5oDM4e10+JkpHUm/JwaercVyTyMkejbfFd2PHpe+gsr8T28kou6i355vOQWWK44EKdf/L0oFt4vBZ5k+M4vjMY5PL/vbk5+Me2SjYT/cWqIjwwJZ1HjK4YkLkcxQc2HkSGuRq1iiysUw4C6lsASQLgs+H99lp8z9KBPVVbUWCR8LpmWIgMR23AexMmY7y8GxXhtJ9pMDo5C6muTqDluGDeR5L28Y9f+vdBhmiDbxZ8C47+RzifRAtGg4yWAmD334TItWn/B8QOCfxKJ9fipvQp5/d/qVi5/02gYb8wwkRXj4yZgNkDjUyFWb1qxysN5F9R3Wnh1IrTjbFQ9GVZiwkmuxsjU0LZF6eizQSD1cURuWr52dEVOv+VtNDfOaGRS/lvz6ZAeg0UiZMjmOaSUSd5aw05t+ISdc9H9h4nR7qasNFgxyidBM/lz+PfkULGj7+qw1FrbkOUMgTJ2rjAWogKC+P1xdyxX9omjE0R/KR/UZQWD+TMwfamo/hPfRXfr5f48EzmYIQqdPhHxT6csPgwSE2GgyL+nowHn0pLxWdNNaiwi3Dc6mPDTPqP3R4xXq4hv5F6XquN18twZ9ooJNNY0mnA658HHuAULtvRI+wRQCpIKgSQ8TEV7mh90fmPfyD2Jz/mZBLD//4Hyw5BWUiqX1qzUGoAKYNpOII6/j3rauAxOKCbmQQvecZ4fZCEKuBzeuDpcXJEoHpoFDw9DjhqjVBmhUGkkHCx4FxwQTP+FouF5/s//PDDfnLQb3zjG/jHP/4BzdfEhfxSzvg3NTVxakJoaCiuv/76wGwKFVjod/7uPyUqXBUoWQ0c/jcoafNPEXOwTRIGqc+LRWYx5vVkQgEZVPkRUI+OQc/KKpZWaycnQJn55SyOqGtJkUS2I0fZxdMP9ehRfCLwI3iGyGexcAwaER+SM4fcdPO1WL4vGW6PF4dqDejqscNksGNrrQEO2stEpKpxQtFLKONDVbg+JxrqJgcaytpRW70dTls7XBoD3GorpEpBFuYwmuCxCV1rms9ffOfTGJTeJ+FsaK1GXWM5mqoaoZVHITl6GCJiQxCTevE9QC4WqNO/9r3X2On8mR/9Cz99/RAiWl2YNCYe027OGvBvKH2i7c9/YSIuiQhn8u+fbzOuWYOez1b2ezxFVNLsvnLo0NMan1EcVvtf/8oXxbA7v8FxPuY9e9C5dx9C0tOhSEoUxgQOHWZlgB/6RQsRsqDPF+CU1+pwoO0PfwyYihHIzTfqySfYWOxygtHuwq9WFaPD7IBUIsKSEQmYmxfLneEvXPQGFav8IP8TcsD3SI2orD+C0tJNcNK2E4uQMmIU6guPw2t3IjwzHfd864cDjoV8LeZcLwA7D6zBiWO7YGhqgNtk5eSNp7/7N8ikchg77GgsM7B6iJQmBG24EgnZYUgfHtlPMUEFn9e3VQYMRWnciMY5rsuPw+Ssi2c4eck+J3KSX/0smt0O/E+fjvaooXCIxIgV+7C7ywQZ3HijZw+e1w1FqzQC86JD8EDudXh4z8fosjvxmLsMf9eOYcf818mdn5bnO/8MhKcBo+4bUHZ/SUCFBor4o+g0mRpInSQYg5IKoLWwz6qbslhn/lggTRcCWorveQWoEcgBxwrmzId3+F1X9PFkdrjxy1VFaDc5uKgeohJGEpLD1RidGsaRlvuru3jExQ96XHqUNnAMUEJOXIgSIWo5QlQyyCUidJidfD+lz0zOjAykmJBqb01Bn+KYig2PTs9AqPqLRyHIO4XSUihh43zMUq+Kc1/NLmD3y4JXzryXzj3hI2hbtFjbEas+9wZHl70br5Ru50MsRqnEpKh0dDnMsHtcnCpwpuej/1trakKCNgYt1g68XLYXc6MTMTdpDP9uec0utDmsyJeFIy8+E0vrDmJLlwkSkS8Qo0lX2cXROtyb/cVeP9zMkEg4vjbwGiwWtPziRV6f6BdcD3laOkd8kvEmRRh6jSYeF6AxRq8jBOKwYdBNGwpnQ5+Rolgj48Qxmv0XKaXsBUC+ZaFLsjiZjKPIJSKIlVJ+nEXqROq3Rn45cX6E6upqFBbSiRDIz89HWloavk64lMS/srIS+/btQ1xcHGbMmBE4sVRUVLDCwq8GuPnmm3HFw9wOfPYkX1BXps/Em7ZIcgXDo/JwTJHlwmN2wtVk4cWqKi8cthOd3PkPuzlrQOOMiwmS75g2bYb1wH74XL05qSIRNOPHwUIdTZ8PMc//X4BABF8Aeiiqb9t2yFOSEf3881df6sIlBHXKenpHOiRSMRuDKTWyc9qGdIr71/IS1BR0QmnzQNR7xtPpFZg5PxXdMhtcUjWyY/WI0yuxe2kFOpuNqK5YCYe1AS61DV65c8DnjsjKwDfveh56zRXUlTuD8/nvfn4fO/3fcP938ekRFZTHepAeq8NtTw4/rUmZx2hE2+//wB16WXwcQu+4A57OTnS9+2/+PRkAUmefIgcppeJ89v/TmTB6urpgPXAQPcuXc1U99oWfD+jiS7nAVH23HTvOagPdrFkQ67ScLSwJDb3silR/WF+G8lYTonQKPD07C3Eh/RUXA4G8J8igj26ElMERPM7CIymSE9i1+X0mpAHQ5+np6xQoIkLx5DN/gUp5YQX7q2LxewFo7WzEP//0fXidLmRNmoI7Fj8V+B2NWZTsbebOP5kbEsLiNBg5L4XPa8H7wEcHG7CpuDVwHx02T8zMumgKgEv6OdXtA3b9RehWk/9G7/97bPPraIYGcZ5uNEtCofPZ8Lq9FLq5v8RrB/+DdTYlIiUedMjC2czv3XFLvtp9iNzyN/8S6Cg79Xf03iwdghqBTPpG3gtkzhI+KD9oeU2eI21FgllgSBKgjRYUBTTDT0UFklFLFIJRIXVaKZ9y0jOCS79EelkcT6wi6rLy+ejkzjvtq+VtZjYbFdOaiDqQdO12kKGrGOsKW1i1JJOI4Qo63/ihlEngcHt4U5EZLhW5aNyFQNcK+p9txlPz2INB57h5+bH8WsiUlzAoToeaTivsTg90SiluG52ECRkRgesPqfu2lrYxyadjaunhRv5beo30kGk50bhlZCIbbp4tLofP6oJBH8S23wpu/9T1vu43QK8Z8NUC72k+p8KuCvyv9gSrBAhvjZoOlVQJqUjCKRvnAuvhw+h8401WJYpVanhNJvbyUmRmouP1v/c9UBINKHOhyEqAWHmSz5NYhPBbsiBSSdHzeQ2rnJWDwmEvESKSg2GymZH+2PhLb+7nBxH9k8k+xfndeOONF+Ppv9bwS/1Vqv4Lv+CZ/qvG2I8kgvDBE5mJ5Yjk889CKzA9YThUeYK7J825kNkFkX6CemT0JSX9lEPas/IzYQ44qGupGj4M6pEjedaYFnDWfftg+OBDaCZOYKmPPEvokLpaWmDulfdQp/8a6T/7hQZ1x4p2NgUWyMHzyIOnJiA2/ey6kmu21qJlfxvoCKJug0ghhkYkRoRGjurdrUgfr8egPKEqXXW0HV0tFtTWroVZXApvhBfDZ81HbEwKpFI5rDYjjzVFRsQhKTbjohnyXQ6QyxQIT0lmufLx4zuRlHATWk4YYbG50N1mY/f1gUCxe1HPPI02ivlrakb7n/4c+J12+vSzcv0/H9CxRGY7unlzYSs4DmdlFXqWr0D4vfdw4cF24gTsBSfg7uyAz+HkXF+SYEc+8jAUGV+d6ecX7ffv7a1l0q+US/DUrNOTfjLk62g0986RW9HZaA4cK3lTEpA2VOgO00jKtrff7iX5IshDdUjJH4b5s76JQwXbsOfzTziP+Jvf/tEFk/5roFjPBIydvwR7V3yE8j07cSB9CMYMFY4BMkEcOTeF/RGaK3tQsrsZhmYLdnxYhrxJ8YjPDhX2a4kYd45Lxpy8GFZ/7ChrZ6+HN7ZX4gfzc5EU/tUn+BAZa+y2sXQ7IUzVnxAmjwNi3gBkffsTnV9n61V4zwg0y2OYLN9nOgEdGf7V7MAkZxfWIR4dYiFWN1Ml/erJExH06T8QZp6JmBMp10QKBD4iQygM7PgT0HwUOPAmvw+OQqPfU2xawcd9kaFnCyqU0Pa7jLCusBUfH6xngp0To8PNoxK5A7+9rB3ri1pZpXImEOn/0YJcJuAk3SfSXdRsxJ7KzgCpn5Ubg2+MTeL9/2h9N443dGNGTjTv6/SYNpMD3VYXum1OuD0+Juxenw8FDT38+M+Duvw3jkjADcPieZSPTFEbDTa8tbOaixCz82KQFKbG8qON/LcE+h80XkMgZUC31YmtJW0oaTbisRmZxL94fIAeQ6MDI5PDrt61HL2v8Y8Bn/+fYMZ54J9CusXV+n6DQK7/vwrPxOP7l6LBKcLahqNY1W5AhBT43Yj5nA6wqekYjvd0osPpxuyoWNyQOhEDQTViBKd0UVQxkX5JiB7666+HSKmEdsYMeAxd0E6bBltBA8z7OuGsboIyJ5QLBdoJcTzSLI1QBviNMi8c5lYz7KUC6RerpFANiYRYKYEsVgPz+8Sfzg7nzBi3b99+Vo974YUXrhH/L4n4XzXGfr0xHdtCU9HhFEPjc+F6QxZLWfzQjIkVDC+8PkgjVVDm9o/7uJig6I72v/yFXcjppEcHsm7WTMjT0/ud9ENuWATroYM800M3BuV0qlRw2qzcYVYOHfKFzudXM9xOD9pqjTzfGtzZGggUI0au2A29VU1y0CdHbJfdDZPBAYfFhcPrajF2UToiE4VF4ulwpKgdRzfU8WeQPjgSN9yQxYtvIk2FOxt5FrpsZwciIsI5YqxsXwsaGnbA5CyGV+nBzFvvw6RR8/F1QVbeKCb+TRUlGJGvQbVazPLHribLaYk/gQg4kf/uTz4V5GtmMxRZWRyNd6lBx2LYbbdx/jcV4GgEh6R2p0AiQdi3vnXZkn4CdZx2lnfwGuuRqRk8enIyqGtMBSqSjrsd/RNlNGFKZAyPQlKeUJCqrC/CZ++9zKRfn5yA+779837qlJkTl2DK2AXweNxQKr56Mnm1YNbEm1FRfBgdZRVY9+GbEIslqK0rgcvlwE0LHoZcKUdKfgQiE7Q4tLYWpk4bjm6sQ21hJ5LzIxCbrodUJuFuJ91SwtUsbS5uNuLlTeX4yaI86JWXVuX2RfJt8iDwx52GqGV4ackQ7t4G0JvhHYx5w2/DhwfWwekTY4hGjBmR04Gj73EKx5Ceeuh1oTCKhHN6ji7k8kksyJl/hsLA80DJKuDYB0J6yMkJIqQGiMoVEgh66gWTUer+UyRh+gxArgHcdmFkICRBuP8yAI0ZEbEOVcmx9oRAqklBRPvgr1YX8Wft//yJ0EdoFUzoqdNP5UcqCLm9XlYCULfdX6zyS+5Jgr9oaBwTatqfRqf0kWnqwAcrW8jk8nRGl9Oyo7CvuotH+eQSMbJjdWzKS4jRK/GThXnYWNSKlcebODXjnV19hRgao6IiAhF6+tf3TkzDpMwIfk1UKGjpseOny/tGOgnbStt5/Mbt9SErWof7JqX23++vBlAKxaSngE2/EIpZNGaTc/2lJf/kb0HdvssgnWKYXouGDguWtnbDAxEanMCPjn2ORgc4hUCACO81tmBqrDGQ2hEM2pfDv30fNJMncXSpetw4iHt5XNjtfaPZYl08LIc38siAu6sL8tQ4SLR2HguQhgnP67Xb0fPJW3C1xkGRTYbGcsiTdIGGKEH2BWvhCyL+06dPP6vHXbXVsC8ZX5uOPx3wLcIJ9jOPQDCmuMRQQc4yFz8kejk0Y2PhKDPwbD/Nrl6alyPE7hHpl6elIeL+b0MaGXla0hNx330s7aEFtqu1hbPOfQYDoJCzvJkiQK50mA0OmLrskCnEnL+tDVV8YUY1kfi6oi6UH2iF0+aGRCbBoPGxLEM+3WdXfrBNIP0iEXInxCFteGSfPM/t5QUySWUPrqnBhCXpp5hk+WExObHxkzKIvD6EJmhx6zdyIel9vRQpRqoBIlGNlZ04sKqGr2mdXWUwdh+BR+fA6PlLvlaknzB22Czs/exjOA1GqHztsKslsHa60dlkRuaoM7vdkvqF5uW/CtC8HMWDcb4ukX6JhM0DlUOGQJ6SKpgEhodddrL+YFD36aODgv8ALZSHJJ5KfFqqenBsUz0X0ggqnRwRCVroo1RcBPPn25OUccOOj3Bg3QoeTVJGheOBB16ERnUqGaMZdLpdw8UDdarvu/snePVvz3LU35p3/xb43ecqLW6Yex9/T6kIk27NZE+GikNt3P2nW5FSivE3pgdMNUkBQHPKv1xdzN3PVzdX4Nl5OdxJ/Sqw9kQLkz5NL7kj87a9VZ2YnnPmcwQZ390eFyxzXxEAAQAASURBVI29hg48kT0RYkqAIOLfWgQxfBilbMIWlWCqlRcSf06vieTkB2q6cMuoROi+zKIIXTgoKSR5AlCxCajbAzjNgjogbRqQd8OARZDLDbTmoeISzdDvq+7Ee3uEmFWSx5PhXphGjmfn5mDlsSb+rOnzJzI+f3AsP+Z89kW6rpOp5YWAnmN8egTfBgK9rvlD4jAlO4qVMwdqDGz8R4UJIu1UdFhf2IqZudHcySfQa/rJgjz8fXslGw4qZGJWCZCyhd57p1lQOBys6UKbyR4ogjw2PZ1HBQ7XGZAbF8LHxxULMukbcitw/EP23eJ0C4rMJTULFbOoWEUJOl1VQmEgYbRQMNAnDFwgoDU+qWBOjt0k3wxK3TnxieBrMfEJIG4YvkqMDk/C6o4SBJfVq+19iQITw0Kxx9DNsYPLavfjvpzZaDK3ot7SjvywdGipWNi7bypzcvh2OojVCkijouBqauLRRafXiJaNa/h31DyJfOJxdLz6GpwV5YBCArchBrLoGMgS+hN9+aUk/uTWv2XLli98HM2jX8OF42rq+NtKuuCzu6EePsDigORwTjNOKENR7VGB3tFco1D5Fiv6vz/VoHC+XcoLoHXvXtjJt0IqQfg9d5+W9PtB0Rz+eA6Cs7UVbRUViMnLg2yAmePLCVTFL2018cUqQqPAvPwYlgw3lnfDZfcwyW+tFhypgyHmmXsV0odHcU63sdOGgi0NXAzInxLPsXeH19eip9UaINselweFOxo5H37M9alM/ml70/+jv6POMi2ACSPmJCEmI5Tn9JLCVLz4pTn/4bOTsd9Wja4mM3Z9UsFFBMoPlwcpQ6hAsOqDErisbvhUEtx17+AA6Q+8fokYI+Ymw77KBpdJhB5DO1obtsClsSB+yBDMn3Envm6g0QVNbDQsza1ord0Lm2ooXG4v2hvMgXnxyxVhd9wO1bChkISHQ0ZeAv6Yv8sIZGJFs7LU3UqJUAcKWqUtJl5k0tpoSlYkS7z9IBl/R4MZPe3WwDEYFqvhfT4ySRt4DrvThpf/9h2YOzr4Z49VkNCqY6Nw7/0/G5D0X8OlAyko7nvw53jj5f+Dy2iGVKeB22RBwY6NmD5pSUB5QeelrNExSMwJQ31JFxqKDbCZnNi/qhqTbsmESisUZYhEPD0rC79cXYSKNjNe21KJB6em9ZPY06y0Qnpp1wM0euD3Hvj25DQuRHx4oB4bi1u5+xrc9PE7rJORm58E3ZI+Bf3K4KHJwhw8xfWKPaDVJblw54SeW+ebXkNTtw1WJmAZgddB5y3qQJMR3Mmg12dzec7aMf6MoBEAikCj2xUCKpbQTH12jI63HymOaLMFO3+RAolA56TYECUenJqOqdlRvN2GJoRc1teEYBDRpwIA3U7G0MRTC8KkYvm/6wZxzK9KJgnsT4tHJHAqEHX8/7Wzmr/3462dNXDarag1ehCmVuDbk1ORHx/C++WW0jbMHxzHIwpXDPKXCBGapGgxNgGFywZ+HHlYkDE3IXEMMOV7/ck/Ffi2/16IChx+l1AMI3RUAPvfALqFIhNjy68FfwsamaGIXtoZyWgz2NSTnm/zL4DueiB5vBA7GJoiRH0OVHSgvydDTqkSiBzYqDgYlCygEBfD4RVBK/bhhpgIbO3sxIKYOFyfNI4LuwkNBzkNYH2nEbc6rfjRiV2cMCBBOR5JEcwEzwYiuZgbEu7mZjYg9jYKpu3U8afEpNZf/kqINab35W6Dp7sbspgYyE5SYMrjLiHxJ7f+i/m4a/h6dPxpXsWyv4Ul+oqsMEhOlnu3Ct3+kjDBKyJfLUKYTRWYZfkyQA7lPStXCTM5ZsFNVn/dfCYR5wqq4El9PkhCLhO54gALHiL6R+t7UNDQzRV9P3qsTmQZvGiu6E/0CSHRaibVdrOLu47dLRYcXmvhriPFhvkdq3d+XM4knR4jVUiQMy6W5cf1RV0819pea0TF4TYuGnAHv8rIUnKr0cEn+tjsUJR5XXh5WQG7AdNcHc07+8n/6OtT+e/aaoyoOd6BpvJulv6HRKn4vR3aUIvamh54JCKMmp+CEJ2i3/ug7O2dOz6DUq1FUlIeTN1NKKncCp/eBVVUBO664/v4uiIlZwiKmlvRWFWI0Phx8NQ7YLa6YGy3ITTm4snB6XMtaTFiUkbkRVk8krmfathX2yk4HWifXHakEauPC5JZmkeNC1Vyh4lIx9LDDSyTzYnV4ZvjUwKLzOaKbh5rCUba8ChWzZystlm59l/oqWvou0MkQvakKbhl4aOQfFlO6NfQD+Eh0Xjy2ZfRY+pEZFgc/vTbR+DqMWPl52/hrlu+1++xpN7IHhPL6Qt7llbCbLBj7/IqJOSEIjpFj9BoNROvx6Zn4q+byngGmhQA6ZEanmVuNTpYZk2Fo3smpl4y1SXtuyTfTo3UYFhiCOwuHVYcbUJztx2FTUY2aPODfv7zhjLkJ4Tgu3NOM+pGRKGX+I/SJ+PmyBDEqnTnZKZFigMiVwQyhqMC27j0CN4eP/uskEkfkbhgo7bmHhvHZZJzPCls5uaf+3X+SgUVQz4+VM+dbkJevB5FTUJ0GvEs2nVuGJ7AM+5UlCS/kalZUYG/p/PU1wUnF4VoxMa/jz93XQ6f0+NCVTwOUd5mCqQEkU8A7fs3jUzEpuI2/pm8Br4/L+eUY5MKefQ8U7MjMaJXdXBZgF4nRfrRqEvDAUGVS6MqXpdAotWRgtcFGVxS599qEB534lMgMltQulBBrGiFQPoJNBJDaoHGw4ChWrhPrgWGfUP4mZQFjQeFGxlo0nNbOgFdDKBPBBJGAHId0FYs/C093g+K4My/STDM9G/jhoPAwX8Jr5sQkw9kzAKkiad923KJDPlqCQ6bvZgarsXtGdNw+0kTgtPjR+B/DbXocIvxSc3uQNwgqQTerq/HxJg8aGmM54s2MRWVJBKIQ0KY1AMuaCaM54jA7g8/Eki/VILIhx9ms0CfuQqKtHyIe89lFCnIY8YpyWf9sZ7zaiA7++zmlB9//HFs2LDhXJ/+Gk5aLNrt9qui4+8lYtlrPOW1uvqI//GPgLK1vQEaQIsyko+cGJlcSMsRgXMqLzaokuasq2NzDZFUCtuJQhjeey8QD8YkYsQI6OfNxdV40f/Xrmo21vFDrZAiO1qL4zUGHNlUD6NXirgwJeLSQ9DcYUWXx4NxUxKRkx7Wp4rocbIkv/JIOxuLESKTdUzMW6t6mPSHxKgxZFYSbGKg1eRAZHYo8mViHN9Uj7L9rWitNqKnTaiYUwefIFFLscZqRs0eofPvX0D+d18dL9BIhkgkadp1KTA0WVCwvRFNTWas+k8RYoZGoLvWhPZGM1xeH+w5GswZldDPcXvp0ld49pbfB0m49u/jKBbaA+Vhetx57/NQyr/YRf1qRWbGUBRt3QhLRydShmpQrzJy14PUGBeT+NM+SDJKi8OD6wZfvYtu6oguPdKIA9VdgUVzVbuFidLq7j5DqtGp4bh/clogc9rYYWNZPyEySYfweA0i4rX89WS0dNSjdM8O/j5vxmzkZI1EVHg8G81dw1cLUlr41RaT5t2CrR+9g6p9+/DLI3dCrtXgnod+3u9zIuXSmIVpnC5i7XGgfH8r30bMTUF8ViiTtOfn57JpWWuPnW/BIBNAwqUg/0QCNxYL5+XFwxP4+YlMU8wgzVFTxziY+Nd0Cl4bhY09fBwMOKdNxJ+IAoBOZRKGKEdgRNLA5Idc26lzf/L7Km4RSCvdT9cmulYMitVje3k7G8/RjUg+mcftqujkgiO9F7qOEKjbTQTvYsYlXq6g7fPPnVXYV9XnDO4n/TQmMSkrkq+FNC4xJzeGC5Z0zjoXd/uvCyjy7+FpAiMMU8vw9q5qNgJ8dFoGChqN2FXRwfGCftA+t7W0HaFqGbaVtaO6w8JqGP++SP4JZIJ4OZh39gMR2PTpwm0gZM0RvpZvFEwuydRyINCYAPlc9B7vHBlIIzIjvyV07QlUZCj9XCD0lZv7/tbUItyoIOAn1PS3VFyg0Zra3cLz0o0KCTF5gm8GxRPSSo/uo4JDayFELScQAjkw5m4hhpPSC04qND6cNRHbWopwY8r4Ad+KRCzBCL0GG7ps+LyDjh8RslRAj9uLNpcYH1bvwf05XxwHKJL1jp+GhzHxF4m90N9wAzcNyRvAUVGJ8G9+E6ohQ9grjGKMnZV74JuSzSbGpl6ebepN1jsbXFAbgNytf/vb3+Lzzz9HS0sLn1D8oJ+v4cLgINkHSVpINqhUXtnE3+IKfO+z907OkEtu8WeCqUcv2qU6gfhLBOJFpP9iz/FTR7/z7XdYLuS12qAeN5ajvshcQxoTg9Bbb4VyUA4XBK420MXlvT01TPppkZSvrYS39RhmZd6DjgoXdO1AQ0cLWmWhKA4FFFYx2uhkScaeOyoxtyuGK/9hGhnPp+aMj0NcZijKD7Zyxz51qDCP31pj5Pl5TYoWL64vDbj+0rzdCzfkIT47DE1lBib9NAIwbGYS7FY3amq6sdZgRIdBmB9dNCyeL5L/2FbJDsK7KzvYjIewu7ITs3KjsV7qgMxmh8rqQe0GoXjgE4nQFivD7VNSArOH5G6+6n+vBiTQFMVH6KiqhlSlwPCp8zBnyq1f+3nnjOQ8/krbKV7jRJlaDLPRw3P+6SP6uj4XApqrJOd6ApGF2bnRAcJ7paPL4sSGohZW0fTYXLyYE7poItwzMQVTsqK4kEJO1HSjbg9JpMmF2uv2sds7xVjWFXayuoZIPxHBM6kili1/HT63B+qYSCy57sGv3g39GgYEeYYc2r0epoYmjs10dHVj+YrX8fC3f9nvcWRAOuX2bFZ8kKqpvc7ERSCVTsZjHmmRGvx0UR6TCNotyMQsVq9kkzIqqBH5D9cqeJ+6UFBnnIgJmbK9s6uaC8fj0sMxOKFvNnvWoGgm/oVNPTDZXYEZe1Ih+LGzooO7n6eAzOx0cfCZmvH3EjlqnBVMfijHPRg0S/2zFYUsy35kWn+DXTrGCHQe8buvv727momVHzSPTQZwwetUKlJEauW8Hd/ZXc0kzJ8Hf7VidUEzk34qoPgLjZ8cqudOMxVgg7crkX1Kl7iGL8bkzEjIaHTRYcKolDAu5JLShJIEaC0zJi2ckwL+s7e/gstfdKHHkELl9W2V7C9A5ooUMdhitMHpphQDGTKitMiK0cLm9LKhIkUWkqEhjbfQ6EWoSvbVXkcpzpKiL2t3AZoowN4DuKzC99nXARkzgK2/EaT3aVOAlEmCL0AwQhKFZAuS5BcuF6T81KE3E+k/DJSuEcwxqWgw8m5A3Tv2G5EJHP0f4HULhQCKywwuTIy8B7B1C34CtbshMjRCRIkFtL+TSSf5ClDxgXw5IrMQq4niTv+ZMDIsHhu6KmH3CsfMYJ0OyepQ/LWmHms7jJgT34xkKiqQ55TLhj8XbUCKWotvZc0MPAfxGyL/Eo0G8sQEKPNyA5HEkU8+Ca/RGBg11k6ezMSfTIxpG5IqgMDeRW19jbIvwgUxm+effx5FRUW455578Oc//5l/djqdHOU3c2bfG7uGC5P5KxSKU8j9lSb1py5/4Htbr6y8ertA+ulAJ0mPQoe2dqFbEd3r7Bvs6H+hoAu+ectWdH/8cWCIzbhuLewnCpj0U9Z41BOPc7f/agG957JWM5Nm6ooYbS6BhMCHO4brsO/DFZB0y7C9/CNkZN4Al6UA0p7dMIQr0K2+GyKjnWcAaUFEBGXdiRa+Eeiic//kdIRHqpA/K4kXXyT5JEnbxMxIpCeF47drS5j0E/mmSUsyvtlR0YnF0xJg7rLDYXNj9PxU7iRTF+bjgh44fF6WQT81MyvQIaIYnw/21zHpjwlRMqmq6bDgrR2CVCw0W4vIdjd8XU74YpSQp2owJE6HCb2GP5t2L8XuFR9ysUceqsei2x9FXuZoLqxRkTI2NvYaWeqFVh0CqVYNt9kKhbsBdpUe1g4HE3/yYrgYhTiaLfWvv2l/IVfmSZlXfreNJNB/2VjGks5gEMFYNCwOmdFC55e6ixMzIvnmBykqjm2u5y6vHyq9nH0oBiL9FpsJazb8G9VFR+HoJImgCPMX339tP76MQZ/Nk0/8EU1tNahrKsfmD/6FtuIyFFccRm7myH6PVaikLPsn9/9Da2tYHXVgdQ2PRyXnh7Pk+GRiT51Cj8/HzuUkPZ6eE3VB7v80z//bz0v6jYLR/zhZTUDnaX8kWkFjT2C/JrIeTPxvHJ5w6qw9Pc+MH6G5uQk1u4QCMT3HycS/sNHIxxcR+J0Jei6g+a9xfuJP89R0HnlxVVEgqo1SEch0kOLo6LHkJk+FC5prT+hNzeiyuHh0gl7jnRFXNtGlYiIVOObmxXBB6FgDnRuAGJ3w/YqjjfzzXeNTeByCQET1Gi4MdDyMTQtHW5s78POtoxMxNCkE0Tol9EopqtrN7AkQrVdgWGIohieHorrdwqSfvn/hsyJW8JCap6nHxiMsftB1kpRiVCj3Q+z3SOq9lpIx45TsSI6ATY3Q8GjQl7wRgAmPAeMfFb6nF+ayCckYfsx98eye62SFgTYKiBksFBKqtgq/85N+wqAFQOYcwOMEjI1CAYL+N40P++ft6TlG3AXfkFthO/ARFF1HAVuXUEjwFwrouef/DtDHCwUK+t0Arv2EYZFZkFRWBkwAh4YmYHhkDta01qPcJsJvi/fgjyMXQClV4M3SLThg8uCAqQfDw8oxpNdroNnShlUhRRhljERyWCQU6X3ndLFcDnGQv5gyNxfh996Lrvfeg/XAQYiOC0lourlzYTkL7z0/LohV7dq1i29EQj/44AMuABC+/e1v47bb+uIKruHizvdfmR1/d3/ZP50QyntHQagSmDWHSVhH03K+Kw60QPZwRuX5wEcxMrW1kKcKCxSKyeh6999wlJby7zVTJsNj6OboL2dtHRuBhX3zrquC9Avz+0I3kRZE3G0nvwEPoHR4EWL3YbBCieJ3l0LeIyyuHI56tIu2o8WxEwjzQuMDMlS7MGzsvUxa6MJ0rL4bnx1r4g6Qw+VFSbMJv1hZyIuGvdVdsPc6jRNoAZUSoWFyTl2Dny3KR12XhQ2pqGt/04gETLo1K3DxokUaXeyoMEAFhcdnZPabraNODnW0lDIxL9woC5iMdahYMHNQDG4amcDOugMR0x5TF/as/IhJf2haCu679ydMbv24RpROhTYyEt3mOli7ayENGQl3vQNGkws9F2nOnxbZfgMlWtx8fqIZEzMiAmSCOh/UwYjU9vdmuJyOMZojJrITHLn3wYE6Jv3UjaHuGRXNSHI8UCwfgVQx5NRPozJttSY+ThUaGTv0a0IUSMoN72da6Udndyv+9cZPYW/vleuKRMiaOJmLWddweYP8FpLiMvl2/MgOdJSWY83yN1Ezagq02hBWBQSfk+h8NnxOMs/7k0KqdG8zKo+0ccGUvFUG6jxuKWlHbaeFi7S3jk46733837trmPQToaDirUwqwhMzMwc0EByaGMLE/1h9H/EnHw9+DyJhDp8KfsOCYtoC0EbhsI1ITmNgtIuKBMGoN/SZqH1woJ5JPhml0f8gl3W6jlA3lK4DC4fFY8UR4bnmDY7F9OwoxOgV0KuErunJmDEois9J+6s7cfuYpAGNAK8EUKHl71sr+TpKqj61XMLn0pMxLSeKVUbX0H9/v9ijMfR8dP7348cL8vizCY7/C/49HVtUaPMXsqgB8q3xqZBJRLyf03FBkYRahQQtRnsgXYBA+z8pzFYdE8bH6K1QIWJcWgQfFyd7FZAnBhk3UprBRb/O+rcjfQ0m/Rfjecc+DKROETwETgapNelG8n26nQ5iKRxps+Ebd6fwmXdWCDGcdXuF7/e8Csz6GbD1JaCtRDAjjBokjClYOoR0g9jB0MhUyFR4UGoXQyoWIS88nc/dz+VOwTNHt6PBKcLPjq3BqNAIbOnuK+j/s7oAfw7PwLqGA/h7XRO8Kh+OSxvws5bIU0abD7eX8GscESm8H834cexH1v3RR/A5hOdUjRgOjauvSHRJib9GowmQTur0+0H3NTX1OhNewyUn/ldkx7+lADA1CxKb1Ml8f7fTGMjIjPKEwIMuiM6z49+zfAVM69dzdiZlZrb/9WW4W1uZ4IcsWQztjBkcndHyixf54NHfsAiy6DNHEV2uoKxZfxWfKrwUaUTzw37o3D7kGoBQijiTynnsyWCogL2H8mxFkIfEwuwpRz0pMEiOH6JlA6rWw/ugGDYBGsVEvp8WbHSjCyRJOP++rZIXeiSTJFAVmzqaNIdJpIhIv9/5mbouNANHBQRaANIFjOLKaO6TigkUkUO1IHr+R6ZlMGEKBp34guPNaMFHcVaUMR98ER2oG712839ZBk3z+48/8rtrRP8sEB4Tj+6aOnS01CMnZToaq60wO1xMUi+U+NO4Cc0/Eu6dmIp/bK/i/ZUKVSQ3pa4emZZ1mh1snuTvkl9OoP37je1VTPB/uWQISzrpuKOMZ1pHkPM1EZMzgcZhyLjPb4hJSMwNR96keMhO42tiMHagqPwAtq/5EG6jBSKFDCNmzMeE0fPYSO4arizceMNDeOtP/wdrawcOrhEcs+12K48cBUMqk2DiTRlsYkrRfxSrSq7/RP6jknWnnCtvHB6PlzeVY3NJGxPfk7v+VLwlk76jNe24b6ocI5L7OmeHaruwoUiQjdI4DpHg78zJ/sK5Yzp3k0HZiaYevgaQ67m/Y0mFAJp33lPVOTDx742z9IM6o0RYg+PQ/O7pFK1GRWaapybDwKJekpQepQlcC64fHMudVLvbw+ahvHA+g2laXpweWqWUixwkvR4oSvOrRJvJiUJDGyZmRJ121p6uyxTBR8SS3ovZ7uZtSJnzNHpBnzkV46nAStvkSga9V6/Hx35CwfcZO+xc/KfvLT1O9iqgQipdt7rbrAiJVCEiUcsFM1LU+NFeb8LxzfV8baPUoODnvZigY4lmw08HGuGhpI7Xt1YyUQ9WPZICxq/Q8L9fGiuTisVQ00gsjbPUGrhBQ/eTQpNGOuhGHk7PzcsJHMO0ZvzdWkHJU9luxvPzB105Eey0fosdfPGeTyQSxgroljwRWPM9gfyveqbPEJDMCUG3XtC4AEV4Zs/H0LaDKFXkIk0rg7KngZXL0dpofCdzEH5XXoISmwglNuF5xugkOG5xo8Yhws6W4/hfI/k/CPtajVQBk9iOkCDOY3Za8VKZYGL4jj4xYBaonTaVo4tdDQ0cZUyjAeqRI876LUsvdAZ97dq1uO6665CcnIzvfOc7uOWWW7Bp0yZ0szvhNVwq4h9M9q+Mjr8D6KzkaBBvjQKo/UD4ReoU/L1iO0xuF+bFZcPn9iLE54HcIYbtPKX+boMB5i2CKQjNwjgqyuHp7IIkLAxR33kmQPClERGIfOwxuBoboJ1+GtOSyxB0AadOTnasjuP3XttawRf5YNDigGbx0zVKdOxqhUftQbexFi1NB2F3NMMttsAb5kbc4MG487bv4eU/PgGv0QWJVoWHn/o9Pvjwj2yAt/Ltv2B7yieYNG0xRg2eys9NFwgqMPzg+kH49FAjEzSSUtLMp//iQZm6y482YnRKeCAbl2bP6H6KgiJFAL2Pjw818MwogYyVvjU+5Zxm1IJJ/0Cw2S2oOLiXvx855bprpP8sERufhirsRU97K0aM06FU1w5zl4fnz3PG958DPVfQot7qcPNihMjxjJxoJiHv769jEylymqaCkD8e6ec35PHs5OUCWnDRnCyBFk4kIZ45KJoVKASKbBqI9BtaLEzcKOaSNl/5wTbu8JMBZmxaCBM4SqUYCBTV9693XkBneWXgPhrHuOP+HyAtcdAle6/XcGkRH52KcdffhMLDO+F2OlnBcWDzSkwZu4DjAINBKQ6Jg8LZU4UKRjT7f2B1NR+PJP8PPiap+06u+1R8pf2Siqk0M0xF2rJWE6tSaPTK4XDhje3V+OH1glSfpP1v76rhTHI/KL7sbMzG0iI0XAijY6K8zczFMAKRd0oaIOIv+F2c2lklgkoEhEBdeRpJIzXXqBShIEHXCOp0Eh6cko5/bKtigv7+/nocrBVUL8HHHF1Dnp79xbFdwY8fkxqOLSVtbB57uRB/Kmz/e08Ntpc0Qy6Xo9Pswm1jkgK/++eOKu7WkkqBPG9om5Ay40fX53L3l2a/SbF3JSgYeBTT4IDD6kZojIr3EVOnHVaTk1OE6EYgn4uSoxWoLT6EpOyhyB2Zy14ojWXdsBiE64bH44bRXA+xWI4QXZ9yhKKFyTuFoItQISxWHfhbOhe3mHs4KlimEHMjgo4rMlN1WNxoqzXCafdwcYDO026Xhw2KyeSYYlUTssOg1F54E472+RcXq/i4OdOYDm2fiJM69bS+opu/ULappJX3CSoE0Drx+/MG8XH2/r66wPgOFQhoPUbjnFQQkEnFgTXb1w6aCGDik8DOP/eRfhohIG8B8hQI7VVPkZFg8UqgegeW2HtgDBFhVncrULVCMBu84RWMic7Dr2Rq/K7sEO9LMyPDcWvaZPyjZCM2GuxY1VwNo0fM0eXU5jRAgiJVC5KVfUWNamMjXL1jHOXGhkDXn1IAKGbc8MEH0F93Hd8nVpy9auOC9tKnn34ab731FoYMGYIf//jHPNf/17/+FWq1Gv/9738v5Kmv4Wrr+LfUAXahGORr6ALi7CzFKUoej88rBId1hagCPrcPYW4XnPWC8ZdYde5FDeOq1fC53OyKSS79RPpFMikiH37olK6+Miebb1cSPjrQwLJEv3szgRZ5dLImMk3zXWOidbC221F5oA12qxnV9StgRiUg8gFUQBaLoEuIx603PwG1WoMb73oSm9a9j1nzvoEwfSTuuvP/8NY/fwpzQzN6auqxpuYVqB5W95MSk9zzdMY/fnXAQDJUIv40p0k3AkU93TwygbsRFxsbtn8Er93JJGn6hBsv+vNfrUhNGoTdtLjs6kZWtAZWrQTmVjvM3Q7uqpyOoJ4NjvV29gbH63lBev2QWHa8J2JC4x7lreZAZ48KAFRcumPM6aN3vgzQfCWRmeFJoTx/TMSJVCmkTiC55JG6bv6eHNep2+qHy+lBR50JdUVd6Og9pwWDiNyQ6QmnRPMFw+ly4M03f8wKDL8iJyIxGTcseuiaa/9VgLlTb+eb3WHFn379CDxmG1auexu33vD4gI+nbuSo61JwbHMDG6RSPGpbjQkZI6O4eESEgG6UgPKnDaXcSf/hsoKAv4sfwxND0dFtQoPZg79tLsdz1w3C5ydamPQT0afcdiKRY1LPjgSQ1HhIYih2V3Tw9YlGsgjROgV3Mul4pgJ1fZftFAM9UoDRa6ORGDqGBKPAPuLfarJzJ5teD81G3zE2ibvbdC0hJISpuPh2ISDCRMSfYm5PVpINRFKp6EAkigoMF+KjcCaQks+vhiOU9hqi+pMI6LxDCNPIsao3KpTOP9QlHjBB4TIAd+O7nWivEwyAiUAXFe5AS1UBlIoEhIZlwe7ohFyuQ6guBT2mBnS2HYfP64JILIVUpoGlqxQ+rxvFXSVoqxuPns5ieFxWiOVKeH1OeJ1meEVCocCTNhuZuaPg03ZBI4lDT7MTpk5b4MaP8brRatkJqZP29b5IWCqu0bnZ6+lTZQXgn2HvTSQqP9DK0ZuaGCBU74ap0wF9pKqfsoDeOxUZ6PGZo2LYxHMg0BruQkHH2H2T0thIl0Yy24wOfP/jY4Hf0zEzOD6EzQfJEyQYz8zOvmyKX186EkYBc14EDr0DxA8H8pcIJoLBiB0C7PsHcxqNSIzH4BK8APym5TU7eHw5OywVb4whj56+6/uI8HhsNFShtNcGKE0JxLok2O4BihRGzA9SOdXQWEEvqoxtAeJPkCclIeb75xc7fUGM8dZbb+UbISEhAVVVVSgpKUFqairCw4NMF64BX/cZf09b7+iHQguvVCQcTENuxarCzwOP2dVb0Y90i+DpnYcRBR0EZwNXaysse/bw9xEPPQh7YSFMW7Yg7I5v8Lz/lQ5akBQ1C8SJXJaJkFBF/9HpGfC4rSivroK1Rot921shFong9flQ17ROIP0SEeLy8jBp0g1IS87tF1mXmz4SuY/2mUvpNaH4ztMvo7K+CCuXvQFTfSNWL30TOd8bfkGZ4HQx8ptA0ULxjjFJvGC7FDIzIkyFe7by9/kTpn/t3frPBclxmSypoxEJOFugUctgVjthc7rRUtl93sSfFj7++X5/YYgkjQ9PS8evPy9h3wgC7dNEPCgHmRb3o1NCMbC9zqUHEfrfrStl0yXad/2u4PT6LE4POzVTx5JICx2H0t6F4ontTRx3SdJT/xgKxbGJJSLYTC5EJemQNlyQIZ8O5Hvyxls/EUi/RIy533gI44bN+tLe+zV8eaAO/+iZC7Bv5Sco3bsTnVNvQURozICPJTIyfHYSIhI0KNrRxESCbtowJSdAEKEg9QyReSqm+SX3I1PCMD49HFkxOmjlElQ3NOPNA508P/zTFSfYPZxAxDp49vhsMSwxhIk/je34nf1pBIyOiZwYPR/7JM0/mfhTMY0wJCGEPV6I+AsGoII6gIoFhKRwFV83aD6dCgOHaw1IDFPhe/NyAgqD80VGlIbJMhUbSZ0wK3fgbU+gAom/6LC5uI1VERcb1H31RyfeODgSa8uNqOuywuH24ESjkQ17/fjogBD7Seenufmxl0333thphcvlRHhsCPZt24Pqo8VQKxIQFpLGjzObW9DUsB1uq/BezOiCqfMYRF6BKLXpIuG0t8In8sAnJvItgtgqhlfhgVflhtgmQWvrRo599src8MidgeYGNXuoAVTTtQJ1+1fD63BColIgdfgoTF18M8Q2PUwdNlZab9r1Ojo7iyFySyHRUqMAMHV1IkY1DTKomOR7ZG0wWGoQpx8Ll83HpJ/UALEZoRxfTD4t9UUGOI46UCI3cF1AHaLApFsyYTNRocPM6Rz+2OKWyh6kDRd8FqJTSO3V/5igcR66dlDx4EJAxwV5Jr2yuYI7/1SAm5cfy8o0Ao3mUCGbxkMoIYAes7W07etL/AnhacCcF3BakBk5JRZQHPngm4UIwoaDwvhy4TJhFCBzNu83J6tMh0dkQVxZBX8pKVenRYJVjO0eA7arZbAVr8aixBwm+fVWYYyJUBP0vdPjwl+K1iFZrcUdGeeuVr6gMyUtSsxmM0uQKG6OOv3x8fEIpWiBa7hgXPEd/9YiPgB8yRPgNbNwnx02vWoVMGwQuu1G7Df2zf7bOBLDhyhP3/sRB1VLvwg+j4cN/MjETTlkMBQZGXzTL1zIOe1XA2iBRM72EXI7MjvXorujDZGqZHy6QoyaI4cgNkogtaogkiigS0qFOlKDHk8hSE9047e/g6E5A2eSng4ZSXm485vP4Y0/Pssy1NWb3sMNc++7oPdAnSiqMi8cGscL0EuF1Rv/zc70YqUcc6fdfsn+z9UIKpIowvTsFl/bUIqc2ByUttlhsrhZ7p897vzk/mQ4RYsM6vQH533T/OLNIxNZNi+ViHDXuGRehJM5Ec3TUxduevJXY/RHHhT+rHQqWNGCL8rgQWSNDdOmJqKi1QSnx8udPypikHTUL8UmUOxldKqeHdpP1+E5HdZuex+Gymouwsy+/f5rpP8qx+zJt+LYnk2wdxjw6dJX8NC3T++ATcdfcl4EzyvXFnSivqQLZoMd+1ZUYsKSTCi1gpHdTxfmsZSXSHWwqorWbxq5BN+ZnYV/7a5BRa/SZkRy6HmRfgId09SVp+4iOcsTyNGckBunCxB/Mr4MLmYTgfcXA1Mi1Hx+IOMyvzqAj7teYut/7w9NTefrYW6s/qwy5qmzXLi9iQnV2EVpp5hm0nOSEz7FrdG4EY2vDSSRJwXF0sN92exEkq4fEneKL82Fgs6FNOJAXdkp6XrsbbCzfL+yzYL/9kbCzc2PQXGzEF9Ir/++SalfqqyfXp/H5eXEFxpjcnscqKjfDmODCS6zDQ5zM3weB0RiMt4Vxkd6cAwd2liI1F5YTVSw8AI6MWLy8mHoroHN0AWFNhQOMl8WGQAZEJaRhuT0XNisZnR1NCMmPhXTJy3Gv/7xU9jaOxE1KBujxsyG0WyAWqVFbFQyF6//8daPeTyKSD+pHD02Byr37Eblvj2Iy8/HrUuexNLPXkdnkzBH7ZO6Udu8LvD+ekIrcec9P4VP4sS7f/s1FxJsump8+/6fw+308dgBbfe0oZGcylJ9vB11vZ5HYqmYE1p2flTOxN8Pul+tk/OxWrZPSEiirxTbSnG5LkosOt7Jo2EEUvGkDRNGDs7Xe4CO+9/dMpT9daghFJwSQ+cHh9vLowVk+PeT5SdYlUdNJWouXcNpQM3L7PmArFdZkz5N6PqXrAK66wCKCiQfAF3/QpxWruYuf2WvDdeQ0DgkdSsBp3AOPGT2oKqiEH8PTUVDLwck1Nn6zAF3NB/Drh4X9vYYsDDJys95LrggxviLX/wCf/zjH/Gzn/0Mzz77LN+3evVq/P73v8eyZcuQm5t7IU//tceX3fGnKtK/yjZjbGQKRpKD5YXi2PscqeGrPgT45giRGBI5fA4P3F12LNu7CU6NDxEKoMtNJVuh2xDp7jvZfJGrP8XwmTZtgkihgLujA86qKohUSoTd3kf0rhbSTzhU3YWY8lKEtO1Hj9fOhi4tNeXwSj2QipSQeNUUmgenohttxr0AcQ8RMGjS9HMm/X5Eh8dj6PQ5OLZ+DY5vXY+szGGsEDhfkJSTbpcSZIJWuFOINxk2bd4p87LX8MXQR0ajvbMbTY1VyB00Bocru9DSYkdPaQdMe1RYNDHljH9P88Xbyto5V3tGThSnP/xvvyBXJ8duf4eOZZQiEeblx3A3IkqrCMhUqWtJxL+RzCq/AuJP72Ftb3zltyak4FBNFzoOdyLDJ4Wp2Yqjq6rx3UUZUKplMDRbUFpo4K4Oua/TAm/kvBTEpJ7fvk7O/Uc2rubv86bOxIQRcy/qe7uGyw/UHZq3+NtY8c8/obW4BIdObA94q5wOlP6QNzme1SN7l1WyfHrP8kqMvj4VunAlL94XDu0f+xcMMl59/rpBXBwobTFxAe5sMNCsPsnjqVNIRN5v7kpSf4L/nF/WYgrI9gl0fBP5J2VAdow2YMTHsX298XrU6SYkhfWdx+nvz3YWmbbJwTU1AWl3fVEXMkaeOhowMTMCy4408tgRFRtp7v9kkHcNiX7Ik8Y/P02+AP54Qf+2qe6wIDFMfV4FgcKmHlZN0La4fUwiRA4TMqI1OFwrxPFRAYC8EOizajU52MmfYgwvxbicH9R9ri/ugjpEzsWmkj0tqD7WHlA0eTwuVJUvh8vamydOSzqJByI6zVOQkxSQJetgNjTADgPfR830sPRU3HTz4+x3EYziqsPYvOFDpGTk4/qZ3xzQn+fp776Mrp720448PXDfC1iz6T8IDY3C+BGzsevQWhzdsxHWlnY0F5zAy0WPks6fHztq/o1oqC1Da1ExJGolf4aObgP+/eYPIFUpmfQT2kvKsGzt33H74icDBbTqxhKE6iI4ejV2sBwR4ZFwWj3YvbQiQPpj0vQIjdEgLjMESo1MMOk02OF1+9jolUbBgsfB/EbFdD2hG6l8iPxTQc9pc7PfgFQmRkJOGDQhct4nQ6NVcNo8aK01sopApe1bS9O+REX1k0FqHL+vEqnWMmO0XASkY+9M541rQB/p94PM97LmCeS/YiPQdESIBiQuJFMDaVPZJ2CITodKu4lt/QaHZ0DUYsLoDidKyNRXLIbBLcKy2j1ocgoqF0KjU4Q6UzO0MhV2dAhm3lRKO9pZjslxfeMpl5z4r1q1CocPH0ZWVp+Jyv3334/Ro0fjmWeewbp1fZWzazg30EnHbrd/qcR/a9NRfN5pxTFTEV6/UOLvtArOmHRidAsHhzg0El46mXl9sJxoxw6JHT6PDItj47CqtQUtTuECEuPqu3idydyPtpHh/fdh2S1I+/0Iv/NOSIOyL69kkASTZIdkurRoaDzKj9cgomknRCIvxCo1QmOGwNrdCq/HgZDwQYiIGITEXB3MulLs376K3aL1yQm4eeGjF/Q6Fsz8FsqO7oOtrROf/OO3GD57PhbMuvuSmeW53E7sPbIBxw5uhbWnGyqdnp3mF82/n8cQvgjLPvs7fE4XFOEhmD/jzkvyGq92RMYmob20DB2tDbhuXhiTeGuzEyKzB/s21WNIZgRSe+d4g0FS1De2VfHCNXgelRbMFANJ877+jh8tivauqIKbTKimJbLRXzD8HT5SCZAFzpcJ6qJR4gCdZ0bHhiDNLYHCJkOzWg2FTAKVVsavf8+nFfCQRDpogFoiE2P09Wkcy3e+YyofffwXeGkfjgjFDfMuTGVzDVcOqEC7f3Aemk8UYuOKdzEkZxzksi8uetEif9yNGdi7vJI7jbs+LkfelHgkDQrntSN1JGnMJCz2VHJIpICIazB5PROqj3fwTHNiThibCwZ3Ikml4+/gE4jQExJCVQHjPpqN96sK6LxCIPm+v5BAZoBE/CkF4JZRiYEoP5L6nyuosOgn/USmiKiS5wZ1V6kgQGab/jlsn8PLRUqal195rAmZUVqen/eDxgCooEEv8+ZRiYgL6eTOPI0mkH+N//XTKMCnhxoQE6LEA5PTWNH0RSAVASmiqMD4ySFBUUBjcDTv3dZmYvUGEX8yYyNMSI9gwkbb9cXFF9HlfAB4PF4c3VDH8nQC7UP+jjTBLTKhqm0F7L5WVtiFZWVCHSdD1qDhyE4bBkN3OyIj4vjaXVJ1FMcKdkCl0iI5KQfDc4XUoJPB44cPj/xCZdqZfE7ouFl83f2Bn2dNvIlvB45vwYZP/wWP1c7JKJMW3oYZ4xcziS+qPITM5Hy0dNTj/X/9mtNT+HFSCVJGjELNgf0o27Ud/+hq5X2ps7qaz9OkKNAnJcDS3Q2ZXI57HvgZRs1PZTPBlMERiEzsr27MGtM3SkL7YdXRdi6sUKJLSn4EkvLCWT1GBQIyFiRzw4F8YoLvkyokrMCg10WF58yR0byfBx+fdK3tbrMhPE49oLfMtKwoJv40SrJgSNyV4/Z/uWDEN4HoXGD/G4JB4NZfB7gQGwKOuR+TVVqs9HQgX2aH5sh/YGuPwuPtQyGL1WBHQgverG/BR80GeHtJPzE8Mvl78theqMQ+OFkdLWBXRz32dTYg1iv9coi/VqvtR/r9GDZsGDv+X8P5g7YfnYQINEbxZUj9K82C2VqzUwSz0xKIjjgvtBWzgz80UfAmzAN6pBBHxQB2L7xWN050VqBdJ4PC58PshJGos2xFi0m4kCToooBeGQzF+dHMvmnDBnjMZiZzBElYKGSxcbAdOcLdQnlaGpzV1dBOnQL1mDG4kkEdBFr0HKnv5u6IH/uquxBeXwQRPBBFyfDwz34BjUrHrrI0T+d0uCFXSLnSKxJnYtLo+ahvqUR8dMoFE3Sa67//4V/ivfdeYrO/o+tXo766BHd/8wfQqi8eIatuKMGO3Z+h4cRxluX5QZJzmnP+d0crHnvoN4H3Q+69FfWF8Ho9yEkdzvdv3fsZGo8f59/PWHDXBXkSfJ0Rn5AGEkCa2ts5x/vnN+SjYbgRy94tBCxObFpRgfvuH9ZPNmh1uvHXTeW8cCDJKXX5qeu1uqCJSb/a6cM0kRLttUaExaix77MqJimEw2trEJcVyouesDgNPy8tagndNifP039ZoJQB6vyRNDLKLUJCpQ0nKoXFuFIu4U4+vUZ6/TwnSp3XMCW7RNNMJh2D1Ik9V5TWHGMvDUtbe28nSoTrb37omj/F1wy33vQUXql4Es5uI1ZteBc3Xf9QoCB6pn2BRkkm3ZrFJI0IQcGWBlQebufOoJH2U5EIw2clITYjBHVFnbDarTjbFFvqMhJBaSwzoOa4YDpFHd+ORjPHCvrHWChRgJQ7dLwT/OodIhAUm0dmdWRQ+8CUNNhcHibSdK6YmNlXrKfHUWQrXQuXH2kMeBTQueRcQUUKIv0ypZQjEXd+XMHnnJI9zag62gGpXIzxN2YwuSLJdXJeGI8OULHxxytO4KYRCVyUIJK9v9eQNjdOz4Z+U7Mj+fVR4gDdqFBJUYYbe+f/aUTopTUleHR6esCo0A8q5lPmOm0vev8UhUj468Zy/krS6xuCjEIzo/qvxyZk9EW7XSwQuTyxvREh0SpkjopGQ7EBlUdbUFq0GQ6LAYkpM6CQ6QKkP39qPA7VLEXRrs18vhLpJLjuWw9jRN6kfs9LhsF+DEofzrevEmOGzkBGSj72HFyH0cNnBooHtH4YnCWsH1MTcvCd517Dqg3voPL4IYyZvhAzJy7Bx8pXUbJjG9qKS/uekAi0x4ue2gb4vF64xWJ8+unf8OiDv2Yvly8CHTuDpyYgf4rweQeT7SHTEwOeCR0NZibucpWUR1XMXXY+HinakIoEdIwSSBVAn2XZ/hYuJqh0ctjNTih1chjbbfwckck6HhUq3dsMbZgCmlAlOhpMCE/S8v5PozbkoxE8kncNZwH67BJHA11VwIlP+0h/eLpw34F/gljza2IpdDz+4oPEFgHYQyEJi8D8pLFY3boCTU5hH9BLvJCLgA63OGgkWggBpDPs7h7h3OiynH2S3gWtiLu6utDZ2YmIiP4noI6ODv7dNVy4zF+hUAzY0b8UcX61vf+T+lbF3bUcR3HeaBGIF+KGwRMyCQhthlhDC2EXE//tUpLPyjDM7YFGpsJwXQzWN1dB6vMiPicFlvYmYSbL0gPD/95nSX8w3M0tfCOE3nordDNn8Iw/Z3xeoaCoow1FrTwH6W8e0jmEFhkdZifn0Cp76vm+tAnDoVXrAzPEdDsZdBFLiT/7SKMvAl28n3j0D1j2+Zso2raJZ+de+dMzuPWe77MXwJlARazDRduRnpR32rxxqsKv/e/rgZEP6hwk5g9FesZgtLc3onDbRp53Xr/jQ+RkjMCqFW+ip6FRMKDrdTtX6HScRMCvNyONL/DXcH6gz2oTHbE9Zo6TIzPIxGQ9S4g3f1KOjmoTCrY1YNiMJJbq7ivvwObDTWhwu3nh8PSsrICHA3UBV++th6rYCGONCYdqBOkideNoMRKXEYLqYx1oLu/mG3XhaHFD5D+jxY0enwflxT1ITYj9Uo5Df8dteJwemfUueOFh86XoVB2TJn2EUJCYsCSDZZih0epznt8fSNr/6bt/ZFd3AplT5U+ZGViIXsPXByG6cIyYeT0OrVmO4l1b0T5hET788M/obmjAvNsePON5jbrXYxemoepYOyoPtQUKa34X8qOb6qHa18Ik3uF0sCdTQvbpzZhdDg9K97Wg9kRnP1ULdTHJ74MKX8c21WP84nQmLJT2Qs77JOEn6b8uyHRvdl4MK4FqOy08S+wHFQiDnfHpuCcp/WdHm9gPhkDxtV8U33oy6D1S5Bohd1Icmx8m5oTye6FOKsHt8GDPsgrulBI6Kox4bnE23ttfh6p2C/63rw6bStrYd4TSR/znMwJ5euTH6/k9UaGeiP+xhm4uVFC0IZ3/SP3w5vZqhM8X0g0IROTe3C5EEm4uaWWST6ACK8n4/e78NA7lbwDRc5NUmzx+SNJ/NhGL57qtyB+CvrZW97BHSVtDB2qrPofL0sKmeWXt72DOgsdhrdcgIl2Cz7b9Gj21grGgJi4Gi256GFmpQ3AlgNYhC2Z964yPoRHBWxY+Bizsu4/SNnYlpGPPphUIj0/AiJEzkZ81GpX1hTh2fCfcbh+q9u3kOOR9xzaxL0t9cwVMlm5ORaLiXUt7HfsQnFzEO113ne6nsR269UNGSEA5QF1+WiOS2owe11zRg+LdTaxK848b0GfrB6XN0I1gYTNtwZOGCgNjc/TY1mDA9vL2MxJ/UvetPNbMUc7n6wtCzQIysZyUEXFKPOEVjYxZwImlAqMKSQTm/goo+Egw/5PIEBvZmyYmUUDedBhhqg8hHvIr9sN4JH0wflpSyL/2+UQYqldis8HRrwhwXaQGn3dYmK+dKy6I+N99990YNWoU7r33XmRkZPB95Oz/73//G4899tiFPPXXHmea7z/5BHEhxP9wewnerinCIxlD0WDvmycp7m65OMQ/dii8nUIVUqyR8snJAReOKASCPsUuSAtHSNMw3FGCRJECytQQOKuNkOjlMC5bxqRfnpGOsG98AyK5cKJ01dbCdvw4ZAkJ0M6YHsi2vBJBJz6KBiI3ZD9owUCLoWHxelhqzRCnSfHxyj1wubvhVbowbdqir+S1UjHh5gUPIyN9CNZ88DqTwo/f/QOeee7VfikBJ2PVpnfZI0AdE4XvfPeVARUIOzcvZdKvjo3C2KkLMG747H4SV7fbidId23Bw7Qoc8C0PzOaRBI9Ar4VuVPxJHzMWNy+6sPGGrzuiwxN421Jhpam1mgsBhHEjYrHycCM0VRacONiKHoUIH1e0IqLSCoXDi6hUNR5bNIhNuchIi/OXRUBSoxN2iYSLVJTVTF0H6sKNW5TOHYf4zFDUFHSgrdbEBkf0e4Le4YPP5kH9AQMak7rRrZdwBjEdH+dKBM4GlIdNoA7kKLsEjQ47v2Yi+bSoCoZMLuHXfaEgaf+7b7/IpF+m1+K2e7+P1IRBl2yU5houf8ybejsK9myG02DEG3/+Pry9Cqh1H7wBrTbkjD4rJGnPGBHN5LyhxMDXXcoZL97TjIbiLiYCYkrXcYJjAYkQn+wqTqAu+PEtDXBYBDKq0Mh4xIXyzeMyQ9mVfMcHZexUTv8nKVcgxBMzIpn4EzkNXqsQ8SVZOkXx+dM9iPT6HcaDQTPr1AUn1Q11t+8YO3B07MkGfqRwIMUNydGp4+l1exEer+WxBEJyfoRQxOg1TqNzEasheo3X+Lxk9OAH83N5DIFm6qlz/6f1ZcJjxIIHgR/Dk0OZ+B+t68YNw+KxpUQoKEzNjsLi4QmsgKKEAopM/MmCPB4d2FTcxqTfnwhHMYchahlevHEwFxkoJYRUBsEgTwMaGSAV4KTM03f77RYXZEoJJGeICPWD9ovyg63cFebzdO9nTN3h4mM70N16GC6ZEd5wD0RqKTxWK9Z89hvEDBqEthXl8Dlc3O0eMXvBaefwr0ZMGjWfb8Gg45FUh21tbVhjN6Hx2DFs+OBN7N+5Bt1UHPH5sCM3B90tzXxMi+UyRGVkYM7cu5CWeOGeWnTMB4/xUIIMFaqby3sgkoj4uLWanPyV9rmDq2u48E7Hg1wpgc3s4vMCjQQlGAU6SXGRNG5KPiADgfZjUsetPdHMps3nkyhBHjp0nJN/DsUIkiJoTFo4Ii9yEcCfxiP6skYXNBFA6iSgZhcw7E6hKTnsDiB1MqAKE/wACFTYW/8jSEgNUPAJMO4hDIvMxjBNMY5ZvJgSrsVNKaMRU7oR11la4RxyM3Z3VWN+4hiUmlezSeAEvQwWsRR9GWmXkPiToZ9er8dLL72EujrBtCk5ORk/+tGP8OCDD17IU3/tcTbEXyaTweVy8dfzxcaWCtQ5RPhn1XGYguZGyi1GfFC5FS6vF3dlTD+3E7qlEzBSfJ8IiMmHt64HG/XlqHF7YZW5YYxxwSZWINTrQr5VuOBLjD483T4M8kQtRFIxQuakwFFZCcOBg9ypCLvjDsgT+0yHZNHRX4mkny6UlM1NXRCSU53NxfW0z+XzcZeAOgoGi5MXAdNyojEnNwaxIUJl99jmel6oETRt5TCLRZCnRyEq7NSF0pcJmstL+k4G/v6n78HVY8LSVX/HnTd9Z8DHNrXV4Phmwe/D2tqO46V7T5nrK68pgLmRugoi3Hn384iLOnWRd/OCR/CX8iI25iGQd8HcBXcjO2UobA4LduxbjY72RkycsOALFQjX8MWgY14eouMxi6aWmgDxp4XvqJGx2NtdhxaaeV1dhTCZCFqPCOGhKozT63gWlxbTOz8uD5g/EYhgTLgpgxcpLVU9CI/TBCTxoTFqDI9J5sdTwYCkizQ7bzrWhIbjbQixe3F4Sz3Wyh1wycTsvk3dCIVUzDP3NI9I8uBzxUcH63mB/9052WweVnKsDXFdLkSLrGg0u3mfHDYr6RTSfzFAKpe9O1fD1NYGj8XGhZZb7/1+YFtfw9cXNKI0Zf5t2PS/fwqkXywOJG0sfedPeODp355xvpkglUk4TcKPoTMSWZlC156U/HDsWlECa6cPu5dWcmEgNl0PhVrKcZOt1UaOoySoQxUYMi3hlDllOnazx8ZyZ7F4dzObltExTQZ/lHLhzyOnbjrNiZM8mY5R+h3li8skIo4QG2gxTgv/H1yfy5G0NN9+OlCMGsn1qXBRcaiNVQ50zZxwUyY7zRNyJ/bNKtMoDhUsiCDT9qBzTPGuJh7dobG5qiNtaCo3sAppxqBojE+PwCeH6rG1162dXPaDowOHJobytZtUDFTMIMUQ/UzEn86Vj0zLwEtritkx/eXN5Ty3//EhoUt+57hkXvfvKG/H7WOSBXn/sNMbqt09IQWFjUZOHDgZdL4kdQPNipPZ2/jFGfx5nAz67LtbrdzlbSg1oLNB8Axwue2AsgfpE+Kw9pN/w9XaA7fCAUmsAou/8Qwiw+Lw77d/CWtzG1oLi/hv5GF63HDH4xdk9ns14qYbH8NbbT/hbcVRrL0IHg8gXwAy8PxP8U8hUSsg06iRljcMOl04urvbMXbUHERHJGDNhn8jMSnrvMxd6fgnrwA/gstFk2/LgsvuYcNAP+i6u/2DMtibrciMUqDC6sCPlxdwYY4UKMHHKe1HtN8K3ws+PqREIUPecwGNExBoVOb5pcdZ0VLWauZzxECg88beyk4+x8T0jhH5QevoULWQtHBy+gQdg1aXBz9flI+LHMBxeox7BBh6O6ANOl6p+x8M4lYj7wE2/gyo3gYMuQVQh+PHQ6/HzuZjGBudC61MjTtqtgqeAdG5WJw1m//04Yzh2NFWgdvTJqCtqx2/PMuXdcHDrw899BDfKNbPP/d/DZee+BOGDx8Ok8l0Qdu8q9eptMref26k0OLDcYtg0JPs24hpBR8DgxYA+YsFt0oi9ZmniZYiJ0tCRAag0KLcWoD/6t0QecSATwJf7wJ6gk0CkdPHJxAPuXbz7L5wIHvtdnS98y5/r5k4EfKkJHzVsPQ4sH9ldUA6GRKt5pnBgQxSaM6vtM2K8Agv5CcVTWgBQNV+kgTSVwJVVO+fnMadfur+kUSs9EAhRK3JCA9LB8QOWA1V7N4/eOIEXA6gjOnx192E3cveR+W+vTiUvR0KhQo1tcWoqTgBp9WKzMGjUF16rFeOL8Q17ty67BTiv23bp/yVHH4HIv3+hfBd9/wAK1f9E2mZQzBz4k2BghT5DFwz8bv40ISFM9FobRcWqsHduDXHm6C0OqGy+RCjkCIzVc+zhnaDg7sGtAgnEq9Qy5g0E+EYOjMxEKPFpmMDgIoCwdnFGe5IrG8zILTFhU6jA9FOJ9oSlXDCi4LyTmhMHrhlIrjcHnx7cvo5vb+KNhPW9br2/3dPLUZ55Qirt0MmFUNEpJ9ma0dGDWiIdqEg86i1//t7QLlCnbNpN33rWtHqGgIYP2wODu1ej+66eky88XaMHjId/3jlOTi6erBs2Wt45IFfndPz0YI4a7QgDSYJefakSNTutzARrC/q5NvJoCixkw38gpE6NAINZQaW/O9fWcXmZONuTGdCTKBC+a5PKrijPOX2rEChL5g8nw5+aTyB1glul5dVNsGkn8wM6Ro88roU1BwTVHNE6sl/g84/dOxSUTEYeZP6yLVUBgyfLVxzqFhJxJ+KHlTcp/dCY0vfmpDKqQRE/hcO6190J3k+FSbIdO9vm4V5XlIE+DuW9PdPzcrCL1cXoa7Tind21fD9I1PC2MyUPhMagTgbUCHFX0w5U2oBkfp9K6ow7oZ0blAQ8aH5bzo/U5HGb9JHoM9VmdqOXdvegtflREHvSDLCxcifOgsL59wTUN5955m/YfehtTi8byMS0nKwaO69Z2U8+XUDmRj6t1XRib0YMUoYzdn6+fsIiY7FksWPoq6xHLu3reDCAJkH0q14m5BERCjbsxNStRJukxUl2IqSogMICYuCxdwDh92K3PyxmDBi3nmrLE4ZG+i9jwpezRXdmKrXAVoZ79dkdKmWS5ARreVCO3ltUIwkxXaS5w15ctBIC0V4ngvxJ2ULFcz8INJPoJjOk+ME6fgnZc17e2t5lGb5UQken5HJo7AEMiN8d3cNH6dPzMzkkaPg4gKlbBCqOszIHsCU+Fzwwf46Lk58b252YExnQEhk/Un/6RA9CCBD9fYSwQBw1D2QS2SYSV4BhJYTAukndAvnD0JOWBrfCD517zriLHDRXK+IfBqNxgvuQF/D2RP/gYwVzxXdPNfWVx0brBEx6Q+20fp3Qw0mOIyQH/+QBuKAQppbIe3uWEAxwEFeuZm/eBPGcCHhkKeZKwrJMi8mSXTwNVqg8Ekw3tQbB+Ym4i+QaUnvrLrhgw/gbm+HJCwMIUuW4KsGXTiPbazvm5ekjNc2KxsHkaTyZJCr70f7m9DllmNJUDwSZQCT9M8vOyJTH3I4XzA0jk9UB09sxbr332Bps8KoB3wn0B6vg9XbDKh9EKnEmDT6OlwuICfcwsM7ec5vzbt/O+X3x5rXCN+IxZiy5C7s+PQ9GKpqUdNYivbOJr6lJuWgpaSEHzZhctAw3QCIjUzCg/e+cGnezDWcgtCIaHRVVKG7Q5iT9YMUKdlxelS6ezC0XYr0CA1L9kkySi7GxzfX82KUSPzEmzMvaP6dDf5EIlSGAZIWF5R2LyZ1AlqdHD09Djg9YnS0O1Bva4VjZBIXGs4GVJwjyTFBRCNIxw04YROOy9j8cIwZnwSlVjqgBPpiYPWat5n0K6PCMf26O9j9mma7r+Ea/KBF/cMPvQSztSfgjXL9LQ9j2Ru/48QNUk+db0wrgY3tlqSju8WG2sJOWAwO2K0uKFQyNngjeTxFt53xNUrEGHN9KsoOtLLfBY0FlO5twdhF6XydK9jaAItBKOxXHGxj9cy5gooGh9bVcoEiOS8c2eNiIZWKeQwh4Ny/ulp4TwoJz+37r9Wpw84+4UcXoWRVEmWs0+smtQQVLkgKTeZ8Jxv0+TEsKZQJEq0TqIhPzvzBoPuenJmJ360tZQXDomHxnNJzIbJj2ramTjvPddP2JmJPvii0bSoOtvJ72PrfEkSn6bmr7zd+I3QayqCNViMlLRe1lm04sGWtYM4nk8Ln8kAZGYqb7nzmlCIk7Y+Tx1zPt2s4MwbaVsHeHKTapKjO1s5GdBlaUVVbiLKC/YKng9fLiUxE+mkkgNQBDUePQtjbBVAcIfkMxKRmQK4Q4gdHDZ/Rz2Oh3dCM7Xs+Q1pKHkbmTzmr1504KIyJv7XJiufuycWG4jZOrqCOvvC+RHhqZhY2lwixjaSIGRwvEP+j9QZ8Y2zSGfdruu5WdVg4NYfGV2gpTOkXNNpCHXsi1FQM2FvVFUj/oTSN17ZW8t8QyOvC5vSwEeZvbhbe74cHhddHzbRXNlfw2ACtrwnkVeBHWWsf8afX8sbWSqjkUnx7UupZHY9Ot5ffO40gkdnnyUlE5w1qqm79DVC6RjAEnPAEoOstCFZv73ucoY/4ny/OmfivX78en3zyCSIjI1niT+ju7saSJUuwfft2njdfvHgx3nrrLeh05yb5uIZzI/4XA90nGWVnanQwuntQ4xAhSuaFw+VGh1eOP4TmYom1BrlM+gk+wNTSR/xddsBlBWwGoKsSH+sS8HGP5//Zuwr4yOqre8Yl7u6+7gbrCizuUKBoW6BUKF/dqFHa0qKl0FKkuMOyxrq7x90zcRu373fvmzeZ2G6yyfo7/IadTCajT/7n3nPPwY8b83FMRid9NRaFReJK5QR05wsZlCLoREOGfwSFnwqmgwdh2rOXF/th990Lhf+Zy6YdKkg+SE62ZDo299ZM7jQQuSneZ0BMWnA/YnOkRqio05zjdZPj+IBCB2YhA9iN1AiSQwZjZkqoV67UaWzH+o9eg8vqgNYSAbVfBCzWalgsglRMHRGI5dfff15l0tPJ7eZbv4//vvgLduFXaNXQBgUhLjULKrUGRYf28ChAztyFWDDrGhw7sIWLBP976bfehIaDnsci2eDkMZef0/cjoTdCw2JQRttmW4//hIgH56aioKETk2OC2PGaumO0fxDxF02EkieEj9j0jvYPpVwOowyoiFAgshk8D6twARGBWgRH67H9YD1UbTZ89XouUjNDOUaPZhz7qnHIhJDIvo1mlhssaO02I8hfhXHdMjR0m2GXy9AYq8Zdy1MQNcrmWb6oMZSjLlcw71l05Z2nzGqXcOmCOqq+hqhk9rgzJ4tlw+u/eB3jHp8xotlqOjcRuT8VwT8ZyDV84qIEVsVtebuQCwDUPW8zmNisUxxmJ2l5+rTIYSVeENnfv7ocNs8agY4v5CegC1AxuSc5O83mi0R/yrIk5O2oY+JLv4tOCRzWZ5EyKZzTEIj80EVE2tRIZM2MHpAckN8IpYCQ5wgRDl+jQhHpkQGcjELE/3TSCfoWQmgM0DfKjVRS065K5lhHOv5RskO7+PkLb46/gw5bAapaPoW7w4m8csHDhRCcnIj77vsNb29SisjZA43r0CUnfYrXbJDIP/kitTTV47qVD+FY/i4c3b8FSrUaOr8AuJxO1OXlwtzUgoqmHpVO8c7tUAb6QSYTxmdsXd1c0MlXbkbMD5MGVVP6grYd8t6hQlFbvRHLx0ahvsOMHcXNTPqpuPWPDUXeTWpBZgRHdhKJpyQAkuzT9v/50VoenaNxGSLJxMEdLjeeWlPASR7i3xNIMbDc4w+wpbARb+02YldpMz+3zenCi5tL+HEpLWRRdhQXBP6ytoBvO1HbiRN1HbDYnIgJ1nISCJF/+nuKJ6X0jKM+0cLFhi680WVBZ1c3Ls9RsY8BgQoP6UNQAlS1Gvn9EA5WtI0e8Y+ZBGQuB4o3AM1FQPF6YMpdgN0MVO/puV97leALMIJj/rCJ/7///W/Ol7/rrrt6zfpv374df/7zn5GZmYlXXnkFv/3tb/HXv/4V5xvIfPDxxx9nt/z33nuv1+9OnDiBDz/8kH+3efNmvPHGG4iNHXze6kzCaBR2DL3+zC0+jXazNxqCYTMiteIQwtOW4LPmZjyWNgFVeV/iFYRirzYde9UpeLRrL5aaPQeabgMQ7lEdbPod0FIKBAg77y7/DFjdcvy7LA+1JHehbm5sNuRdPZscGY64nW64bC64rMLJx+2yoe299/l64JVXQDMKqoaRggyOCskkyO3GxHlxTGR0ASG8+CBTo7wdtZzZ7StfIkkfwdBlQV2HhbuWBQ1dfMCjAyRJ/wL6LA4++PhZnvPVOqKQmX0P/IP8kHS5HNv3foKomCQsnXvzeXlCppPJT371Ol/vuwB1rXgALR0GryfB7HlXY+1bLzHpp3lmXVgoTHTicrkwZe6KS8Yc6EJBdJTQubK090hDRdCsLpl4+YJM+iKTA9kRmhYPFAk1UlDVPjZIi2KzBWY/BcLHROCKOSlMLPxDtexinqtxon5vI1rarNAUtqEyvxXl+a2Yc01qLx8OkgMezm1ETI0NCqcbtFUmhCpYUtisU6IiUomI2NF3zO6L1dTtd7ngHxctkX4Jw8Z1134HrxY/DnNjCz5e9U92Gj8fQIRelAofXl+Fbo+Sjwhza72RYzwPra1kJVBQhI6jyk4GIhlHNlQx6Q8I03HRgIrwtO8LTuTAuAXxXAQgaTvNK5Nh39h5cfx3WbNjBhzFOxko4ozeB6n5iPjQ8YVmn+l5yauAxgRo5IAiDcMT/HmUgIqTv1o5hmW/g/mMUME/WK7g1zpU0N/QsTRvXxOqA82YvDSRu/z7V5XzKAK9NxpjoPedNiWCZ7oJ9PpJaUUjC/S5U1GHPheH04Zn/vws3Eph9I5IP+XYj7t8Ma5eeo8UfXuegNZB1yy91/vz/JnX8MUXpBTYf3gjGurKuVBgNXajvaIajs4e6TxBNOj98IN/4JZbf4Di8mOoqS5BRuZERITGYceuL5CUlIM5U4X1F21T0alBPPZTV9zBvh7fnJOMpWOieHyFFKtkMEkk/JtzUrznSjHdghJxqlpN6PSkU6iVci6KUTFgflYEr4HpbxVyOUxWoZgnyvXFxIx391VxnCZJ9Kl5RgSfUjJ+dfVY7/5Fo0R0O3Xd8+qE9clDc9OQV9/JCoXPj9RhZkoYNnu68/T3ZAqcV9cJN9ywWm2o6HT2WhsQ8d9f0Yr1uQ14YG5qPw8BAil7RNCavstCCR6joHKnKsi0+4CQZGDvv3piAA+9KSit/aMAc6twvbsBCPRwU/JToyasv2CwPxQMey8vLy/Hjh07mBzzc3Z24p133sF9993HBQDC4sWLsWCB4LR+vmHv3r1YsWIFE3tfOBwOfv2rV6/mjf+2227jmJtzAafTiY4OYUM+k6+hiTYi2jFlbvjDji6XBTmtpQhXqHDVgp8B1k6MrzuIELUfVsUtRK5FjTeDp2FOUA38GnIF4k+wGXs20q56uOBGg1KQxNXaZHDLZIh22xETEAmn3M4xfcowLVxmB9zddrhtTr7wn29YA1dXF5TRUQhcce4k7eQObDM7sfO4AQfXVLAzcHewEnFaN2ipQtXUcfPj2AiFTq60EBHnkosMXXxgEUFzT0T8Vx+vh6xhFUIsNWhsehwBHhmdxWrC2s3vouFwPtSmAEQnLoFGo+ViAi2O0tN+hvMdgxF2ut3XiHDquPmoXVwGu82CJQtu5YhAo7kLzW0Noxo9KGF0EB8jzMw7us3eSL9TgRb51JGiDpk4zz9SxIXoUNwgVOZJJUPqAt8O5dRxEXjJ0AGnXImJSSHYuLESqOuE2eHCZcuSuHtBJGT3xkrENtgQplNxygj5b4SolBzPt+KKePzvcA1WnsRcazRwJH8XmzoRFq2QfCkkDB/UISQn9UNrv+BM8V1x6ZgzdTnOB5DjPxF/6rgTyDWcSGl4oz8Tf9FBn0blKHXA18+jL2h0iAg+FREpVYP2eyos0G2UaU7S9qhkgTQsuXeMtxtPXcsl3zx9r4y+CghKG8ndVstkn/LUSdFECoPSw3JcdlMGz0afrFhIx8Njm6tZCRGRFIgpyxO9JH2gtQfN3ZM/Ac3tU8oJxS6aml3Yv6qCixBE+mkEadLSBB5NGAj0WRCBo4uIjVs/ZgUekf0Hf/AX1NSXIj1pnDRidIEeA1Yuubufb0xtgzDy4oYLAf4hUCpUeOeF36Kjohqv/vmH3vuW7N7hvV62dw8O7F6PO+/6Ma/XYjME4t9Q2o6xl8eyR4+oUiGZP3XTx8cFIdKHGIvpFpRgQaAGl93pwms7hNdDMv639wgNsZUTYpns/2VdAW+nOTE96nCKyKQuOkVb/2tbGRcHaLf+1vy0XkW17JgAXlPnep4vOdyPk4RoDHFDvoGf783dFUzkCZQKQobAZg/XIFB0pswz6kz3u2FKHN+HUjYoRvTu2cn9PvfSJmOvwtwB6vpnj1LXnyDG/JHLf9Uez+i0DJjxEHD0XYFrtVUKxJ/mJLb8CehuBFKHnvQ17FUZyfdF0k9YtWoVrFYrE38Rfn5+fDkd2Gw2/OpXv2K1QElJCZKTe3/wn376KY8YaLVaJhUvvfQSxo4dO+THv/322/H660J30hf79u3jx3vuuefYMC8rKwu33HILzgVodIIqeGq1+rQ/x5PB7DCjwdiCZqtgLBesdOMP/hqYar9CuMsJGHKBI29Ttg3gcmBOYCymTr0RDx/4Es2OELwjt+NB5AJdHuJPGyFBpQcUarSGJMEk8+ygHv47HmqvlD/khnTI1Ap0rBEOCC6jHc7ubjgbm+A0CAejkDvugOwseUVYzQ7uDmj1KoybF4fWBiMOrqnkE3BBfSeTfqO/AoYoFf6zoxyRAVoUNnRxNTI9TAM0WziDXJxdJNMTgr9GAap50uxTVlQAcquqEFJ3HFq1HO+98gcsu/kBFBcfRvnhg5C3KaCxBEIXko7w8DRMWpbIpP9iA+1j1624v9dtfroAvkg4/xAWFOXtGNQayodkPEcLeRqHGU3Ehwj7glap8JqG+WJsbBCUKjlqnU581NIGU4wK0bU2HDligKleUNm0mexQtVhYATB5UhSmrUjiBTY5mGv9lNzpeDpt8Jis0UBLu4FjMOmEHZ6ZjonZ54dRp4QLDyQLrq8pRf2JXGz6+HXExaSeF8VT6kATuSWSnzEjis0EaXFPt1MnnohzR5MZ7Q1G1Ba19yP+VDAgskv7JI3SETKmRTLpJ9BjEdntS3jPZEwXzfpTEbOXvF4mYwUANQYmLCJvEaWQmOByoyq3lcceqKDY2WLmEQfyHSDQ57L7k1IkjgvjUQQqYhCRJ1f+5upuNuijz4pM+ahQQLGL0Un+6KxzsMJQNBaedV3qoMUDStJ5+79/RNaU2d7O8c6Da3Bo01d8PWf2fK/EXMLFA/JAoktfZF82DwXbt/A2qwrwg39EBNoqKnkMgCKWSXXZVV2L/7zwM9z5wM8RH5sGXaAa5k4bqvJbkTKhR9lHZpWLc/qbUU5PDuVuutPtRnqEP3fuf/tlHnf+aQSGxuyo807nYkq8IHPP3183Hg6Xi8m+L8gDg2J1ST1LoHFZX1UAgbrzpAYUZffTkkK8CgMi8P/ZXo7dnmheUiNQw2BvWSsnb9A6QulWgB6dkghsTifq2y34y7pCJv0EIvR3zEjkMUaK3CYPLhpXEDv+lCpAnl1v763kyMObp8WPzjEoMA5Q6QSJ/75XhdtyrgaixwFVyR7iXw4kzRauE+knnBDHsM8A8SfzPl+QHD4mJgazZp2+wYyIiooKJuY0LkBd74HI+T333IODBw+ysd2bb76J5cuXIz8/3+snMG3aNO7e9wV18k8m26+ursaePXvw/vvvs1HhokWLEB0djXnzzrwMk0i+b8e0tVWoUIWGhp6Rk9nTJ9bjULcLSzwnzhClHJFkGEESksgcyhwRDCY8En1kXw2NUo17EtPwt7JyrLUH4zq5EhFix582QkLkGGDej1BhyIM7vwB+SjfMbhkbBU7W9BwoFP5CEUCuVvDvbLXNsJWXk0MPF7YCr7gC2szRJQ4Em8XBcTd0Yh5DVUxPZi/J5qj7QOjwSAiJ7NNsERl5mAKUeOyRKXhzbyUK6rvw2y9zudDmdrtQaHEju8mJ2g4LaoJlWDg+mueeCcuzQvFVYScbkjy7sQjylp3QyEnwIIPLYmPJOyUdqIz+UCIAAdFjMPmyRRg3N5FnJiVIOJ8i/eobKs6Z4/ykhGB8qlZg2dgoPrH3BS0sxsQE8Umd5gwDwjRw+KvhKu5GeasJ6XGBaDA50RmsxOSxEZh5VQrLjQkj9SAYKuwOG958/ffs3qwODsTd3zj/lTwSzm/cfcdP8fyzP+CY1I/e+Tu+/4Pnzgu59tTlSWwS2HeWX4wWrC/twKG1Ro7Ny54djbYGE5NcMqEjLx1fEAEhkjyaeP/z59FUX4177/nlkIvO5BlCo0xHN1azXD9rVgynGNB6YfcnguIxgIoYZH/kcdf3BXXoUyeH48S2OlY9nNjia9XWGzSbD1peyWSYuiIJbq0ZMGtxaG0Vrw2mX5U8KOknbNn+CSzNbTj69Rqkp4zHrp2ruEAkeulctaRnVFfCxQ8aBbKsuA9qpcbLNTq6WjkGmQoFpdV5+OC1P8Pe2Y3Xn/kZ/GIicfmU+2DOVXDKBUV/nmpkhs7B1JX3BbnuU1QuRe2+vquC5+tnp4V5Ez0GG4uhkRki7+THQ4V++vu+ICKeEuGHEkO312dDBI0gUkzom7sruff4jdlJzKWmJYfwGuHK8dGsVP4iv5ONtal48Mq2UjR0CColol1UdKCxAQJ5DNCoAqUZUSGDCg40CkDqgP3lrawOoMcWY7j7FjKGBXry0DTAcAKwdQsN2DGeMY/gpB6Xf4cNqNzl+TACAJPAG4eCYb+6uLg4/OEPf8CNN96ItWvX4uuvv8avf/3rXvehUYCBiPupQJGAb731FmpqapjU98VTTz2Fq666yutm/41vfAP/93//xx387373u3zbgQMHcDoIDAxEdna2t4BAhQwyKzzTxL+pqYnHDiZPnux9X21tbV7ifyZQYRHmu3Z10MlJhhClEmgUclkx/hagei9QRC6vdkFOEidktF4ePQGf1Jah3KzAKr8Y3CsS/1YP8Q9N4Y22vNHAs/uJNhsu10ag1tiOyWH9OxEyT6yf+XAenyzlAVpE/exJKMOH7sI7VDTXdOHIhmp2HCbQyTpjehQK9zYw6XcqZOwcSpU7ii1JyQpFY7wGpYfsGBcfjKhgHR/UfvdlHlo6OxBY+DK0ei1akh5Es8wFbacFRZursL+2g2eTCBNj/VHU7kKxoRsWmwNhrUVcacyZvxgV+UdgremCzhWP0NiJiI4dh0lLkhCd0iPLkyDhfI70O5ugWbsnr0hBZOTgkrrJicF8UhdlgWF+avxuVR4qrQ6cIIPRCDmUCg2uWNpD+s8m3v/0OXTXNrCC4qa7H5dULucYdLw/UNnG8VS08Ctu7Iah04I7ZyYNO4v6XIGM2G696wm8/uzPmPx/8tW/zot5f5IGn8zALzIpgN332a1/bSUMZT4eIjIZS/WpKG/utrMKz9enY6QgwlO0czurbj758mXcdcsTQ/7bvmomGsfL21kHc5eN3wtFGhJoNCE2PQhd5DmiV3I6QkRCAB93gqP8WEZNxoc2ixN+QWpOIiHjNEoVoG5/8X4DewuNnRvHs/mNjWZEJgVi8T05bKA6WLSiiNpST168242P//0XT2SoDEnTp/H2cT4ZBEs4O+g7pkfjHeKIBxX0733k93j7jT/B1NAEY70BR8o/R6r+Vt6ua4vbB43fPRmoKy8a5n1nfhp2ljZjQVbEoPenhIquZgvic0KwICuS/5biKwdrgOZEBzLxpzEb37EDwrTkUC4a0LiBGLk3Jy2MjQQDtQrmXldOTfcWQugQ8+/t5bzWSIvw4+jOTw7VorHLwjGDZBpIsYbiWAEVL749P43PHaTqJYUAjQtQoeGP148fsEExZISlC8SfQJF+ool6zAShENBaCnz9K8FMnTDjW0Du16SJPzPE/09/+hPPyJMcn+YbiBj/5Cc/4d+1tLQwGSciS78fLsaNG8f/EvEfCBs3buz1uPSFTZ06FRs2bPAS/9PFjBkz0Nzc7O2+V1VV4ZpreptpnAnQxkcKhcbGRi/xFzv+ISE9FazRgsPlQJtD2IlMHmO/UJkDsHQIGxRtcOJG11EjSEw8Ox19LldGJ+DFimps0qThhpoq6CpasbujFmUBCbgnOJnj+2rMghQuxirH5cZkODttUI7rvwggub/b6YCtop5OqdCkJp0R0k+Su/1fCXP6+mANk39y5aeLuEipiFbiuMyMyHob7G45ghK0TCLovVO3kUAVvx9fkY2PN3yABpcdcqMdkyPzoI5bgJYDzZB12lBG8z8KGbuZ+mkUCDHvhbwmH9ER4VA57dBYgqGtmoZxQbPQJWuDXhfKxjyTliayG68ECedrpF9bs5B3f75iZmoo+2tQjq8oC3x8WRafrCkXmE7Q5PI7kOP2mcb2/V+hfN9evj776lvOmXLiUgKtT8hYlbpM1B2aldqjoKMc6KfXFfIcaF/8a1spfnftuJPnM59HiI9KwdSlV+PA6k9RsHMbDqSOxbRxZ9ZjidZJeaUHkRKffVoFLCKuNHtek9/qJf0x6cEIi/dHVFIgy9zPFPYe/lqYjaUmyMEDODF5P6pqipAQl47xmTOH9Vg0jjf7ujSvorCuqB3mbhv7HAwWK0oKI1ILnAxTlifx9kvbK8e7eTCUqFIaJ7I0CWtImVolpOfIZbj8+js4fleChIFAnf/HH3+Jz1VbPngdzeWlWHhNKIr2GlBxtBnxmSE8gkNqFypYkd8FISBUg9jMEE7bICVP0tgwpE6O6FecoiSeKwfo3IsgH559X5Tx2IvS4+VxqvSLRTmRqO+wYNEgM/ZEvn0JOO1PIX7qXvuUCIrqHB8nrPVr2kxM/MX4QFpT0DhhSWMXE37fmf6J8cFM/L/ON7AZKaG82Tiy4rFomk5Imd9znczTF/wU2PH3HqU1jQXETAT0pAb4+ZAefthntpSUFOTm5rK8nmbQaRZeBBnRvfzyy3z9ZJ2Z0wEVFchIMCqq92wJyfH3798/5Mf56quv8OWXX6K4uJjn+R977DG+PSwsDL/73e/wve99jwk3vf7BZvzJ04AuIuh1EWhjGmiDOhmI9NMBni7i31PHnx1gg4P7PR79LN73dNBobPGxnRMQZu0QcuXD0uEm8k9Y+AvBpT92shAd4cG86Al4q6YKHXI/bFTHY8qOPDwfnQa7SomJcGOSy4VaOy2mZIixa+DoEj4nmZ+y12vuXLMWXV8XQqZPgtulhEyvhTIq7LTf12Cg90XSPJrFC43z47zhzlYLDnxVwbeRfC9lUhjWbiiCTSODZnoYapq68fGRWiYK9N/4uEDv6wrVq+AwnBCSccggZe8WPPrEjVh94jDkDjm622NQH6ZAeoQeX6x7Fe27ypHuksHeWgGFTQt/XRbgUrFKR6cLZQM0cioWYlJG971LODVGuj9dKpF+pWS82dpyzj6noXxPKrmMs3jF+xMSQ3V4ZGEaz+hVtpiQEel/1t6D2WLE8cK9MDRW4vi2DXy8SJg0iRffF/P2NtB3JZKYkYIehxyj8+q7OOs5OcwPl2eEs+fK2twGdJodUClksDpcLMmkeVMRDR1mXDsplse3nt9UjFajlV2qk8L0cDqFiNWdpS3c9f/fngqOqxzsNRyt6UBUoIa7UecDls69BaWFh9FaWoG1b78M1d0ajM+aecaOfR+vfhn5Wzcjdtw43HfXL0/rNQsGYgJBHTs3Fknje+T8o7V/5Bbvx+pPXsVlS2/EnCmC+WFR7gHeF6n77na58MkrT/Pth9RKpP78Fei0p+erpFTLkTgudFTfg/j9DOd72n90M78/bVgwv+/dmz7D9HlXYe70qy7q4875gIthPTF9wiJs/fR/cJit6FKVQqYIYE+OfavK0FTV42gvoqEMKD7gmTMHWEVbV9KGmdem9jP3paJY8f5G9uOh9bivwrVgTz0XFAiVuc2ISjk1cfZXK/CteUKi1nA+c9cg35NYI0gO0+PRhWlM4OkccuW4GPY2WDamh9eKfzs2NoB5gug1wO+lvgMZkSPwZwtLh4wIvTYI7qjxvTgYj1SveArI+xyyql1wZyznpq1LMfTG4WmVtJVKJcaPH9/vdoVCgaQkzwzCKMNkEiovvsaC4s/i74YCGhWgy0C49dZb+TIU1QPFFQ7Uvaeow+Ea+ZGhIY05UNefigj0GPQZ0/sym3vPitHGRo7/tNGeTvRZUVdl743d5URQ4wFYbTZYNHGwNPbswFDF05vq9xizdWqs6TZjTaQWbV2FsLmV3Bk/1tqEWFUj6uy0U8kRadLCZhU6Kq3mDsg8phh0sjWtWQOZMwYKmRlwqyEPCoLJYe79/KOAhuIu1Fe0QaGQIXZ8GFooj1wGjF0W6j1Z13S0oqnDCKVchrsnBeP1fRYUNJp4hj+sezPWrNuFuTOuZakUOZs3l5UJO6JKAYfRhOf+/DDQ6YLGGIjU5GsQmxaLpiMvozu/Elp7EJT6cMi6lJCRkiBmLGLH6xEcpeXnVutlaG7u/xlLODsY6f50ptFtdeLzE00YG+2HSXHnRn6s1QTyPtvd0sLHqAv1ewpTAK0twzs+98WGHe/D2N2OlUvvP+ksdX7ZAexY8y5cpp7n04SHYsm8u87ZZ3iuvqvdFR1YndeCRZkhWJg+NBVbXYcV1e1WTE0I4OMyPVa+wYQNRW2o9LjFE3YCeGdPmdjA7Qe1QoaYQA3/zUf7K1BlaEFNhxV1HTboVXLcNSkaET5KqwhVIJ7f0YltBQ04VtnMZk6079HrDtIp+XV8eLQJeys7ufg7KdYfWpWcHz870g9XjTmz5pAnw8orH8b77z0Fi6EZn732N6zy90NQTCyuWvEAdGq/UdunKuuLkLd1E+Byw1BRdtrbs1vpRvxEPTR+SuiinGdkv9ixcxXPum/+7C3ER2bzbS3lFXz+nrD4ahzduIrfB20+bosNqze+i7nTz7zSczgY7vdUcHwfH6+DYxKQFjcJaXdN4tsv9uPO+YDzfT0xVPjFRKOzogoHjmzEmOgbYSgzoqZEaOLJFULXKyrdH7oAJdrqzGirt7D5Zmx2AOoLu9Bcb8W2j/IxdmEEK2oJDpsLx782wNTh8Yk7AKTNCIWxzYaWShPsth5eUldiRVWZBlr//udYS7cDxlYbQuN1qM3rRGutGemzwmAo6UZ7gwXZc8OhC1SN+HuK0QAxccLjdLW3wGPpOSAidTI+X4k4Um7AzJiRKcZk03/ChN7d7IlP74vElcKF0NjIpvRDxYWhZfPJs/fttIs/n8ms+4Hw05/+FD/8YU8sBpH1hIQEREREsFfAcEBjDaScIENBUhnQl0c/k7Khr7pB3GCpc0LPdToHliO2yp6/czoAhwkxzm5oItOgnnYzArWnnjG/NfBybG1ahQa1HqvCqJNjo6MBWuQu6IL16IYSMpkbye4IqDVqrqyHJEZ7Oz7WoiLYHXbI/dRQhAvvkST+2tAg+I2iUoRmBI8WNkOj1mDM5TFITB14jKCivBUajRop4X6Ii4nGw0tD8evP82Cu/hSBhlyUGxSoPn4Q05dey+YoMhegDPDDlAVXYN9Xn8BttQMawGWzo6tpHyKqMlBaXQ6V3Q9hcbMREzsVNruFxxqSx8VhwuWj5P4pYcQY6f50JuGgKJz1RShpsqGiw4UF41NGNjd2mpCpJmO7/A1eGAcGBwwp0u9i/J6aWutRtldIHTmesgPL5vZXhDmdDnz81T9RvGsnLyqUei0CoqIQEhmDK5behdCg0VXCnY/w/a4KGrqxqqCalWRfl3QhPCS4nyM0zWCKTsmZUQEcCfXq3hp2ey7tcOOuWYl4e28Vjnlim/z1Wp7TpE79ocp21LSbWMq/dEwkJsQFweZ0M+EP1qsRpFOxEdNXx+rx6ZFaHDVYvY/x2KL0fk7RdPq50aLEl8fqYPasQ/fVmnGo3ooxMQHs8HykwQKtRsNdnrzmnlGBnVVGZCVE8hzpucLDjzyNV1/5BbrrGuDsNqG1uARr5f/Bg998st9+czr7FBlUvvXm20IEFqnUjOYRHRMGWuOMJhwWM2RyOZ+jD5/YgLDwGMjcwvl75ZJvICtjAkzmbhSXHOG5/6rCw4i86gGcTxjO90THn+6GBn7Pk6fMG3XlrYTz/zw1Ghg7aTb2VNWgtaYCY1cko71GMK9MHBvKa2kqtPpK+SneUqVVQKVWoGuiBXs+LYWt04Wy3d0YNy+Wk3MqjjTBaZYjMMSPx1vriztQc0Qw8pRDBY0aSBgTAlOHDS21RnTXAQmXRfRaK1NCxtEt5bBbnOisdaGllorAMhRtbefCAj1SzREzZl8fg45GM45vrUV8dgiP3pzJ7+nybCc+OVyLtAh/lDZ1o97oRmhYOJ8vTh/D23cp6e6iI/4kxQ8KCoLB4DGU86ChoQGpqQNL8s4USGXQV3lAoA1ouBuRKIGkC/0tKQDoOhn7DfZY4n0H+73NaUdpRzWyaOa+z32aWyoAUiV4ovoIkdETIJv9CGTKwc14fBGmD8G1nXa866+EAzLIQR0ZJcrrOlERLPgzBLocCHAJiwFFgJrVICIsR47ywkGTkgiZf8/Mj5yytUfxYFlT0MIROn4hGqRMiEBTt5UNnFqMNo7+iA0WXl9Zs4lfT1pEAD9/mL8WSxIM2Ls/l4mWQqNmJ+49n78PuU7DqZ9xWWOwdO7NqK8tg9Nhx+Spi7Dm9X/C3taAumONUOo1CAqagqioKSx5qslv49ml8Qvie30WEs49TrU/nQvQceGdfdWcGUvbpsnmxKHqdnar9b2PodOKED8VE5+hgk5M+fWdbJ4juuueDJTrK1cp4bY7UN9Uec7m08/197T/yEZP4i9weMsaLJgtqIBE1DdV4d23nmZjJEJEZjruuO2JiyojW9zmwv3VvRY1FNVEjsjk7BwZoObvqr7Tipe3lfHv6VhLcUnv7a/BnvI2JuPieo7mKK12gWX7a5XspkwLS9ruKTL1p5+e4J8pBoqKBsvHRjOhJ1w7KQ4NnRb2bTjZTP7KibFsEEcjAeTZMiWJOvgDd4UoOmp6SihLN9tNdh4hKGrowvFaYaSPUlnuuzwF8cF6bClqZPdoSoDZWtjEBYrUCH/vueVsI8AvCN//3rOobihFYckh7F31MZoLi/HVxjdx7XIhcnn34fUwm41YMOvaYe9T67a+y/PjcrWKu+YU81ndUIKs5Ik4H2Hp6vTus3m7tnAhjn6OychiVWVOmmBcHB+ThuJdO2AyNKOsOo+z7c8nDPV7OnhiJxc56PuhqNDz6Zx2qeBcn6dGAzMnLcHeVR/B3t6FVlslUiaGs9Hm2MvjvB18X/gH95DOoHA9Zlydyr5anU1m7PqYBgUFkMR/+pUpCIrUYZ+1nKMxKS2AorCpGEBGmA2lHWitM6LyeAu6W62Iywxh08uuNgsKdtfzmp7OHXQf+pcaizS2K16n56T0C0oKoeZf4R4DIhMD+8WGymQyLkg0lHbyc4wk3WfFuBhEBekwPi4I//fRMT6HVbdbuBBwtjCc7e2CIf4EitijKD/fRcihQ4fw858PzdDgfETf9APfKL/TxX+LN2N1sxEPJzZjeeKMnl84rGhuLAQUiQh2tKNd7geZXIGwWY8AQyT9BHLsX9yYjG3qMtSq/ZDi7ECpMhYNMieKDXW8SIvyeV9yP1Wv78x8+DBf12Slw1bb87gU7zdacDpdKDsiSOjTJkfgQFUbXt7ScwAiwy9aQF4zMZaJEN8vQpBDdhrbkbvhbehpEZuThXvu/Bk+WfUySvfshsssdIwmTZ7PUt977+zZ9k5M3YW6nXlQmrXQuRIQGTkDgeFahMX680WChKF2+ql6vL24mU9mZCpzoraDiQURf5pR3lXajA35BiZTRLamJ4dgTGwQG0oSmScSRP/S70SQK+0nh2q82bZHq9vxo+VZpywa0AlFExTAktmaupJL1piuJO+Q97qj24S1m97BdSvu559PFO/HZ2/8nRfd5No/fcV1PHd9IS/+CNuLmzhPmQyM0iP98NnhOi4aETEmR2PaFl/aUsJ5xiImJQTBX27H7uoaJs9pkf54YnkWb3vrcw2oaO4d10YgEk6zlGKG8oLsSMxODcVzG0t4EUWOzeQKnRim77d4G8qcPd2PjKVOZi7le1/RVCopDJiYEMzFCTKIJGXCrNQwzqgm3D1b9JRwo7HTyp8NJUmQmzQZTp2LdADa5pJiM/jS1d2OvM0bcGzjWlgsRrhIXbFbUK2oVBpkJAjEdzC0dTbjled/jKDoaNx1x09wYscmvn3c3MUoPXGQkwSqa4rPK+JPXW9xDMfaJZzbZSolXFabZ/RQhqnTFvf6G8qzD05KQHtFFXbs/PK8I/5Dxf496/jf6KwsTnyQIOF0wI7/ifHoqKjGnr1rcOdNjw/r70Oi/XDZTemcpEXRllp/NaKSA5E0LsxLsCcvS+Q1Ot1O9xcRnRaEnDmx7BXga8ItIiBMh5j0IBTtbWAyT820o5uqOfUiKEKLw+urOBoUXh8PN3K312H6ymTUFrajrqQdnU0mOGEHHI38++r8Vlx+c0Y/T4Khgorg05OFcwL5CJFqjYrFZ5P4DwcXFPGn9IClS5eipKQE6enpePvtt7l7es899+BiIP4kP6GO/0iJf5lJWFgVdbVAsLPxIO8LNLmU7GBxmdqK1a5AxOi1UAzzBOHssEKhDsajZUpsjDXi5vFX4OGaI7DKFdjIWZJypNtUkKnlcNtcUHh2dFtNDSwnTsDZ0QGZVgtNegpstUI8BkGmGT3iX1vYhvpGI0JCtIjLCsEbawr4dor9IEJEC7Q1x+s5vo/Mogi0QCWs3/wOE3xVoD/nJFP0zR03/hDbE7/C1s/ehspPN6D773UrH8KL+d8DmhSIT14GmUzOMiMJEoYTMfavbWVecnTztATMTAnFjz48xqSDOpYfHKj2/p4KA9RtpSIBXfqCYmeoCk3EhQzJ2MSTFv0KOSdQvLK1DLdMT0Bduxlhfpp+xEpEUFQME/+qykJgeMbXFwUoAqzLc6xKmDwF1YcPIXfnJmRlTuZj+Gev/53ds7XhIbjlrieYdF3IoO3ky2P1+PywUJmlRYwvKLt4SU4kChu6vaQ/QKtEt9WBw9XtsFptPD5FRasH56Xy9nbLtATMSAlDh9kOl2ho6wYiRIM9lxsFDV1wuNyYGB/EBPwXK3OQV9fJZNu3iHW2QecNugwGMmel9/nM+kLUtJlxoKIVByvbcO9lyZz9fK5w/YoH0dpYh4bcPBTt2NbrdztWv4+Ee3NO+vd7Dq6Hrb0TTe2dePEfP2Dlm8JPhxWL7sD/DNVM/A0Nld772+xW5JUcxISsWeek6FVeU4B3Xv4dItPTccetPxLG8KhpdOM3cWj/RkTHp2La5IVIjusxpRYxfup8bK94C42VgkrlQgMVaVpKBafvOXMG9rGSIGGoGDv5cuyqeBdVucfgukFIOxsOKM7zshvTB/09kezsAdIt6LhPqQBRqYGoKWhDa103jxLQ7Yljw5A8IQxKFbn+B3PCAI0czL+9Z3/WB2o4XcBpdyJxXBh2flTCj7H+37lM8gm0DLLaHNBQNKZKDnOnDQfXVHIxQuunQluDkZ+blA7+IUOX0BOo2FvZajqvx3lHRPwfeughvPLKK6P2YsjkbtmyZV7ye9ttt/Hs/IcffuiN3Hv99df5dp1OxxviunXrEBBwbkyvXnzxRb707doPB75/S2YT9DNJ0Ebynpo9sy6NNh8/BKcdyP8CrcFTAaUWE7KXYa5KjxAxH3IYcLSaAYUG0UHTcacR8JeFIdJpR71CjVqngveqGcZI+E2NgqPNCt3YMNgqKmB46s/ex9CNHw+5rre0Rj5KxJ8cSHd+Xclkp9jPjbTGbiZKSoUMjy/LRIBWhYOVrfjnljJeoIkdJ8r9tlhNKNq3i2+bNG9ZL4dfcsWdMm4eVEr1gAdBqpI+8sSzaDcYcXxdK89DUmqABAlDAeXF/nF1ProsDug1SnxzThJHzIgZ9RQZ85d1hUyYqKO/ckIMO5pXt5pZAdDYZeXuKJEv+peyZ2m79+2wZkYH4Oap8Uyy/rq+kCvTdBHJy7fnp3qf0xfxSZkw5OahqaZnkX8pYd+RjWwCpg4OxB03/xDPlH4b9s5ufPTPP3EHkdyO9NER+PbDfz6teLPzbTv87HAt9pYJx8Y56eGobzejosXInX/aTmhbJFk7OeATSPpOBJcKSJ8erkFJXStunZWKmalh3gUQ/Us+KoOBjs/j4np7zEQGaBGZNbyF17kCnUN+c81YTo+g8QAqjry2o5zHBa4YF82f29kGnafuv/vXWL/9fRxY+zncDhfGLlyCgn07YO82YeO2d3HvHUIc80CoKDnuvW5tFQo8E+cu5RGXyJgk1J/IRYuhR7b3/qfPoWL/PjSsvAEr5t+Os411697izr6huBgNzdXebv+cqcv5cjJQnB/B1tXtjXU+n0FFlp0H16DRUA2b1QKr2cjjF5qwYIxJn3auX56ECxyUgrH7yw9Y3XascA8m5cw5q89PhYOsmdGD/t4/ZOCGZXAUmWf3FGmJzOdtr4O5y8YGhOlToxAap0dDbRMio8O5iLDrE6E4sPWdQo4ZJVUAxX83VnbishszhhUvSuNoS8dEXbzEn2Lx7rtPmBvrC5VKheTkZI7ES0sTck5PBTK127Jly0nvc/311/PlfMAjjzzCFzL3I/+BkRJ/ivETu/2nu9FwHKBDOGE1+bhkwtwGOG1olftRcD2itMFICYo/redwtPZ2xnZ22BDrAOo9vD3CZUeiLQyKIA20WQKJ6Fy9j/9VRkVBN34c/BcvBly9T6wy7ciJf2ezGXu/KENzuwUWnRx1OnB0E4GkOET6CURurp9sZfmp2O2nz3zD9o/gNFu5q7Fozg39Hv9Ui3qWSAWEwk8XjLb2Vqh1F5SoRsI5QpfFjr9/XcyknzqLjy3OQKhfT2FsQVYEky2O+dSruYAlzhFThXkgSTFllR+rbec56VC9mosEvrPHD81Lxb+2lvHMcqBOiZZuGxfDHpoHr5RZRFb6ZBzEZzA2NnFBi4pflxIKc4XI2PisMSyhveWbT2D1V6+jraIScLouKNJP21CX1cFz8SKoSErjJGXNRi4EiXnEt89IxJIxUb38aNqMNu7yV7X0KKVEQzvavkiS39gYgMjI0z+PXaig90sqm2/NS0WIXsWjDXSOOVTVhntmJw+qqDmTIAJLJHzqhAXoNnYgJT4bm0Mjsf3jt1Fz9BCarqhnqbuvVN7pckKpUKG1WiDPAQlx6KquhTLQD0vnCaaWcbFpOArA2NLjOl1XLCjr6mvOfte8xlCOpkLhXE/qm8JiYTRHHTC0WK24SGFsg7xMOrpbERJ47pQafQn+QBCLLH2RPfXsEjQJFyeo6RWenoamgiLs3PY5E3/ax2rqS2G3WxEbnYLS8uMwNFRh2eI7eh1DRgPEZbqM7f08cmj9YWipRXyUEON3KlBkYGRiAFrrjTwaoNYK0eJfbf8CXQcN+Obdv8Ds69NxfEsNOhpNqClo9Y4JWLrtOLC6AtOvTuF//YM1mLAoHp3NFi4GkLdA0b4GHk8QownJv+Z8x4hYycKFC1luP3PmTCQmJvJJr6qqCkeOHME111zDJP6pp57CJ598gsVE9CSclPiL8/0hIacvD2+2tEF8xGaHrKdybelAl1wOi1yokkX7nZ7zMEllHI1CxKBcp4TL7ICjzYI4uwoHNYKEZpJNATlZ/nlm9ilaxnxIOAkH33QTE39+7109jsijNeNPO6/ZZEczXKiP18Atl3mNoxZm93bJvHJ8NAobOpkYkUs0HVCO7xJmGHNmzh3RjFxojB8civ6zrBIkiCDJ8+aCRjabLGvqZpk/kf3vL8lgcu8L2j7Hxgai0+LAo4vSOX/8VAjSqzA3I4IvA4GKX8/dHsTmZITXdpbz/P8r20oRHajtRVJS4rIhU6t4QV1ScQI56SefDb6YYDR3ob2yiq9PnDiP/01NGINHv/00+4EUlh7mzHQaCTqfQSMhe8paeJsjOfpVE2Jww5R4Jvz/2FDUKxKPtrVrJ8f1mlEUSXyInxqLcyKx9kSDtzhwqRH8U4E+DxptiArU4sODNay6eXJVLqsiFmdHcaGNFAJn83Mjk066EObPuAYHtq1hM7ttOz/Hzdc8zLd3mzrw3NPfhUqvw8qbviV42ijk+Pa3/og9hzcgJTHHe15MSRDi8RxdJt5HTJZuHgsgGDsFFdFooqK2EPsPbsDVy+8dcF9b//X/hAWIB6UFR/hfbcDQkpboMRV6LY8z1BrKzznxP5y3E5tWvw1TcwvGXL4U11/Z02Rr7WhE5WHB7yo0PRUqtQYtVZVQqFWYP+vac/iqJVxMmD//RnxU+BRaS8rw/IuPswfGQHj12GEsvvGbmD152Skfs7jiOI7l7WLz1utWPDCosubfb/wGhoICTF66EiuX3O29/ZX//JJfT8z4cbj79p8MaZ1OBoLh8T1F+fLaAhTv2srPvefQ11gw6xoeS2iq7oKhvJMbdjSmu/PDYnQ0mbDr4xKYOqxobzDC2G7lUQCFSsFmhVaTnUcL5t2WySqFCwEjIv4UXbd9+3aW4Pti//79+OCDD/DWW2/hxIkTePjhhyXiPwTib7cL82g0xnC6aDD1VN/tbqEQEKkPw9aGE9gelM1DwX5yN3TK4T+Hy+ZE19YaOJrNrG5VJwbAUtgGZ5sFCQqqqpv4xDu9WzhhumVO2A2NcHa081y/XK+DNkdYLBDIA2AkHX+nw8WZouLiiXbQdoOJyVF9nBpxEX7cPd1V0sz/pvaRmdLfPbooA8WNXciODsTmXR/D0WWETKPCsgW3DfvzkXBpgjqhZIBGi/x0j0/EqVDS2IWXtpRyV16ETq3AD5Zm9iP94rb6w2X951JHCt+56fsuS2HFARHBfRWtvYg/nSD9oyK561dcdnRUiT9V742mDibT5xuo2/af137N7uVKfz3GpE3t9ftAv2BMn7AQ5zPaTTZsKmjElsImHgERQRF3pID66phgyJoRFcCz9RRxR13rk4GKBnXtFt7eTybfv5RB+ywlZ1CKwHv7q1n6v6O4mS+EqCDBsDA+RMfjAZQgc7bSAGh/zpl6OQ6u/gwlR/fBtfLbfBtJep1GM1++fP8lvm9ATDSTYloc+4KiKRU6DSvkyAm/qbnHr8fcJRQARhMfv/8cTPWNXKC/44Yf9Jvtrz1xgq/Tfkry5I5qQc3nFzj0cTtNQABMJgsMTdUYlzEd5wrvfvKs14SRShknNq+BUq3Atcvu5dvWfP0WH5PIU+Q7D/7pvB9LkHBhgs7zqTNmomzvHi/pV4cEclyktb0TKn89X7e1dWLjB6/xiMnJUmw27PgIuz//wLNVAyGhkVg46zref9/99x8RnpSMB+75DWoNZTDkkXrIjcPrvkRnRzNuvvZR5JceYtJPqD9+Aq+YfskF+FOBCpMbt3+EjPSJyEmdgnVr3vKmfRQVHORjG3X4ySCQLiIyZ0bj+NYadLS0QaUU1kNE+gnkIUAX4lQ0FkBNx5nXpHJ6F3ETnb/64iT+BQUF/Ug/Yfr06fjxj3/M18eNGyd1A04C6siPJhpMbezez3F9cgXqPYWAf7RY4VIl8ex/yGl8685OKzo3VrGsX6aQwX9uHNzUSS9sg8viRKY8ArqgMoTCiTRzBBcAWv75IuxV5VB4FAy6SZMgU/Y8Oblf9/xAs3hDJ/6VuS04srkaUMmRlBaMjGlRqDjewgvYFi3gVMpYrkzOyhQ9NTUpZMDtkBZbZEBF38Oh7YIjbvq0WReEZFfCuQdJov+7q4KLSzTDS/J50d11sPuvzxPkvzRnHxOsZad+Mpyk+WZfef/ZBr3+2WlhTPyP1bTjpqm9R4Gi4lOY+NdVCZm+owGSFb/20s/h6Dbjjkd/fV4lBtAx4bU3nmRnY+p6Lrvx/vN+gd1psXN6CckNicDTzP2+8lbe1ggRARpWPtFYx8Z8A97bJyzmqDD6w6WZfDwcCvRqJb635MI2MDxboEIeJSAsyYli/wPy5DDZHDB0CJ4eRPZJEUAGiE9eO5YTDM4G5s+6BgfXfwF7pxGH8rZh2rgFqCjL7TfTH582uAGgLiwU3TX1qK4tQUNtj7zfbhTGQEYLJDEm0k+oOHoItqut3k6f2WLEh2/9lUdu/OOiEZOcgeKd25kYE4JCh9659wsOYcPCFp8ixtnG+5897yX9UWPHQC6To/bYMRz9ejXsNismT5yH8kMH+PczF1593h+TJFzYIML9QlU5K09mXXkjllx+E98uqoktNjOe/cujrPbZuudzXLP0Xq/ZZJB/Tyw5Ffj3rvmEybyorDm2fwurjz798AUuNhry8vHBFy/A1E2FQzfkWjVcFhsnav29ON/7mmi0jtRKbaXl2LF/NXZt/BRaP3/EpWaj+PBexGXm4K5bnvAm7qx67yX25Dm6aS2Sp0xDc3HPGqa5onxATw8eJ8iJxpbVX6KpaDcSZyzChPHzUJ3fhpzLYjjdjEaLyTx8z+dlaKnpRtE+AycEUIwgGQ6qPM1M8hEYCOL43AVF/CsqKlBZWYmkJCKUPSgvL0dZWVm/TraE/hiJMeBAaGwpBxwWJv1Q+6Pu8Ns4rI+Eyx0GBVxwkmOmfnhyFHuDEZ2bq+G2OjmaL3BRApRhOtiqe5yeA116PNWQCiUEmb+juZFJP79Hj3eBbkrvbhkVEGRKGdwON48FUMVtKCg73ITD22pQYuiG0+VCS6sZxfktKG80wmF3ojaR3h9FnIVyR5Oynk+FPUe/hrW1nYsRyxfdMazPR8KlhcNVbTwHTSSKFvGiQSSR+n9tLYXd4WJDNF/QQp+6eh95ZL+Eacmh7Pp9Lt3K+4KKD3Qeqm0zo6XbijCfkYLklBxekLbV+2RwjhBHC3bD0Sl8Hls2f4S0u3/F10ur8xAbkdTLXPNsg7LPmwqLuKK/8MZ7MHWcIPM/n/HxwRpOfiCQG76I9Ch/LBsTjckJgjkfFQKoKEDpJhqVnInpUEm/hNMDqSOeWC4o3siA85WtpTxmJh4P7E4X3t1XjccWpwvFGrcbs33MEUcbVNwOTU1DW0kp9u9ex8TfUFPh+a1gWEkYm92/uSMiJCKGiX9VWR46DMLoB8FpsrJaZrQi5XbuWeXz2BZs3/8VGurKUVdWBJfDwR1HuU6DO+76CQpLD6EY23teY+jgBmF9ERgajiYUoaNViAI+m6ACxlvvPc0mqoSc+Ytx08pvw+Fw4DXZn9Bw/Bjyt25E/lYaR3RDExqMy6dduu79dE6lCM3EUP0ZN84kgkZNpXNh0HmuQfvw9773D/b98N2fRaJMRp+ZU2bhxKb1KDiwE+NzZuPLz15BR2U1AhPjEJWQirKjB5jAiyqVG+74Pt557tforKpjom+sMwD02brcXLQTseSm+9De3oT967+AtcUzPiSX4ZY7H8eXX7yKluJSbP7wdW400u87qgSVT8XBA2hb0Yz1m99FET2e8OVxcbDC44sRkBgPY10DFxz++epP4bBZccttP0RMRCJWb36b1VDjFi1DK47BoTOj0X4AOXNuQ/bsmH7H5OxZ0cjbUYeSAwbvbcUHGtFUJZyDF9yRzekBvsjdXstFAjIbpBSDs7ltjYj433///Zg0aRKuu+46pKam8m1E+D/77DM88cQTMJlMePTRRxERMfCM6YWO0Xb1Hw0YTLShqdndFS4Haqxm7IAcULrwre4DyEyYgbicU8/hiLBWdKBrWy3vkMoIHQIXJkCuVw0Yv0fkn+CyWuHwOP0GLFkM89FjkOv10Gb3lypTl9/tcAzZ0b+hrAPHttfyTHRziAJmvQqWZhu0tYLhoFUjZ1M/IjBEzEQUlB1BXUM5Fsy61nvAoirfv177BToa6uGyCcWphAmTzvlsn4TzE3TyX328wWsIKULs9OfWdnCkHs3Kk4R6fHwQL+pf2V7G3T1fST/F9M3LCD/v1FCkPKC5booOPFbT0csXg2R8G/AqE/WWdgPCggXTt5Hg6JGeiLH6/DyOzdu+dxXL+8Iz01nGei5ASoQTuwWj2THzF+Py6VfifAdtaztLmn2k+Gbo1EoszIpAap88YVIEfHtBGkeakhQ9OujCcM6/WED72feXZLL6hwg/mXP+dV0hK23+vLYQxQaheEOJAGTsSccdlUKGaybGjuoxY9LkRdhcUormkjLep40NQlc98/K5HP9HZDorddKgfz9uwmyOtiQDMC/o9bndaG6rR6zHMG8koPN0+fHDfF0VFAB7Rxd2ffE+L+J9nhTLbrqfDcYomccX4aH9I8MGQ1hYDEqpMNPeivqmKmze9hFWrriPR3rOJAorjuKzt5/zeCTIkDN/EZN+Aq1Xrln2ILYGfYSiHVuZ9AcnJ+LGm7970Xb76Vxb2tTN43OiITPdtqesFbHBWr6d1DL17Rb2yqC4TzpXiWs+8s+hwgB54ZCSZqjPabI5oacmlGcfowLd6mP1PPpGHik/XpF90ljPixUKhZIvg2HR5TfixNYNrBL637O/9N7eWVXLl54HkuOaWx9hZR937RuavEQ/+7L5bBpYum8v8xddZBimj1/I2/jk8fOwffeXqKsoQkrWRCREp2HhklvwUfGfBFKvkCMkOQldBgN7ilFx8I3//g5dNXVeH4xbbvk+Pv3sn2itqUbOzHmYkrMYH338V3TX1nvHB/77ws9x470/wtEdX/PPxUf2wdrRCehc6CSeMEjaR/KEcDRVdfGFGpjkhVad19KLt5AyQAR5AlQcE87VhXvq2Tdg4uIEXBDE/5e//CUyMjLw/PPP4/PPP+fbcnJy8PLLL+PWW2+FxWLBjTfeiOzsnrnuiwmj7eo/Gmix0wynGuGuTjS7NFirzYIDCvi7zFhgaoEmIJZd/YcCc24LjAcauPCvTgpAwNx4yHy6QnLtwJuPs6UZbqcd2jE5CLrxRjb0G0zSwnP+ZBkwBOJP3XyqklW2GNEUKIcyzR9XZkTg0wPViKy1IRFKLLg6DeFpgQjxmZMmKdInr/+VZxEJi+YIqRD7jm1Cs8cFmEFy3iVSt19Cf1CH9J29lTwnTaCFBm3OTV1WXDE+hsnTtKQQ7pHRDO+/tpXiwbmpXATotji8Zntk0kcS+oHm+M8XTIgPHpD40+wexdnR4jS/+OCIyTCdROuLCrz7HnUDPv78RdTlCnLj5pLSUSswDBc7Dqxmvw+5WsWZ5ec76Pj67r4qXgPRtkmmfUMhn1SAknBuQAXDFeN6utEUAUWGiUT6PdyZFRzrcxvYe4NAfgq0f44WMhInYHdYMHfLPv7kBd4HKf7uppXfwc6YZESExp2UXJJKIHfqXlQdPOCd/3XZHTxj39hSh0D/EDQ0VSM9STD0PR0Ulh1hsk/HiJvu+iHefeFJgfTL5Ri/cBm0Oj2iIhIxecxlfH8iBaTcE6X+0RGJQ36uyAhhf7B0duKjD59De3kl1ihUuPW67+JMFRi//PoNHN+ynt8TSaCX3njfgL4hN1/9MA6mjIVKpTnr0Wqjjf0VrXxeJLPLgZRGnx+pw5dH6/h3C7MisXJiDCdk0G1UtKQkESL9Islfl9uA9XkNiAvWsYKOiga0/9Ca86oJ0bh+cjxajTZW61W1mqBRKhAXouPzNpH7Dw9Uo7ixGxabk8ftJiQEY0FmBP6zo5wTT0T8d2cFfn5VDjenT9R2YndZM47XdiJAq+RC/vyM8EF9Vij+NCPS/7yPejsd0NogKiuLpfr8c1ICpl22HHu2fAm72Ywp81YgJSEHIUER3vP5uGnzsG/Vx1zoip80Edde8QArCiwrTewZEheV6j32RIbG4sarvtXrOWlWnxQFVFgYv2AZrltxP9/+/ufPc9FSJP2pM2fh9ht+wI/10L1PetcejY2NSMoch9zaej5eKP10sHd048NX/8wmxgRSAYugmNDKuiJORaHiolyu8Cog6PuctDQR5UebEZUSiINrK2HxMS+vKWzzEv+uVgv7ARAiEgO4WFBb1IacOTFnLQVsxM9y22238WUgaLVaXHXVpStFOhfEv9kpHFDGOAzYpgxh0k9YaCkGb6JaoUBBeb7kyK8IUA9c+dxvgNlTsdLmhMJvenQ/Kf5gZnzO7m6i6fCfP79XhvNAEOf6xQSAk6H0YCOq67vR7nLCGKPHr5ZkcuWXZlkdTifi9VqO2Oj7XDv2feUl/fs2fYG5M67iOLK92wX5IHUWUzMnIjYmhWU+EiT4gir9r2wrw9Hqdl6Q3za9J+LMF7TdfWNWEuo7LCht7MZzG4WiEhmlkVO/2Lk43zEhPohVDSQDtzlcvRZmIbFxMLR3oqjw0IiJPxuJmSxMNMbNW4LjG9ei9uixnju43Niy6zPceGXvE/7ZwIHta/nf5MlTz2u/D6vDicNV7VyQomINyfb7ejNIuDBw9cRYHK1p567jt+alsdfG6uP1TPqVChkcTjcTovE8jjN6xCFryhwc+3o1DPlCEc4vMpy7e/NmXD2kv7/9xu/juervwdzYgsikVLQ21DLxb20z4M3tX7Acd8VdD5+2CeahI5v539CUZC4gxIwbg4bCQiy88W5cNvWKfvenBb4mJAiWplYuDohJBkNBbJSgUCDPkXaTEGXYVD+wk7mYgvDFmv9g6tTFyEqeOKTn2Lr3C+zd/CX05CfQ3uaVMBOJ+cZdPz1pofN8NxL1RXO3FWabs1+HnArj/90pjIGuOlaPb8xKxOTEnm4okXMi+AQ6/xCp31Xa7C1+URG+qEEojn1vcSYcLhcnldDYDKWViKBjISU6rTpaz5G1X+cZ+PX44n9y8pYXHlMEFQi2kBlqgaB+IVJ/y/QEvLO3iptOf1tfiDaTnVN4RJi4eFDDBY07JvQuzJGi58XNJShrMnIkL6l4rp8SN6ASgZ+7sJELfLSfK4eoVjgfcMetj2PXgbUYkzXDG7U3Z/LyQe+/dO4tfJyJi01lEi+CjERJXTgUfPObv+K0j4nZs723zZq+gok/gRRL11310KDFy+ULbofVYsakSXMRHZ6Il//+OB+7BgM1PKjw9vrzP4cuOAjf/d4/vOSfYgKzZgqF3NRJEcjbXstFAEoJaK7p5mhAq9nBceN2iwNBEXpMuzIZOz8qYa+AupJ2JI8PvzCIP5HETz/9FMePH+efJ0yYgGuv7ZFTSzh7xJ+qWK1uYSOcYG3FNrXw2LHONnyjQzjQQicclIz7G2ApakPgsmSoY3rmaMmwontHDazlwmyKfmoUNBn+MO7eBf3UqZBreyShMppZ8czleP/e4YDbaqMrUKeln/I1i87+8lM4+ps6bcjbb2BS1Ryrxi0zk5j0E/q6SveV4xzdI0T0Eaii9/X2DzmXXJAgybBy5f1IiDn1a5Vw6YAq9Acq2vhEnFffyVV/OlE/OC+FY/AGA93n4QVpeHJVHjv2k4T6QiL9BHIZp8g2ymsvaOjs1WEcO2E2V/XJbCqv5MCQT9AD4chhkq0C4ampWDr/FpzYvpEr7RQbmDJ5KjsJlxzeB9eKB3E2QQUJMvgi0rBk4fmT7kGL4B0lTWjosEKjlPPCmoiiGFdKC2GKkKPvTsKFB+pU/ubqsdzRJGKfGeXPpMNCniFpYfjlZyd4nIOUOBMTRq/rP2/W1Ti+eZ23Qx6VMLR8bBG08L33wd9iy87PsOCy6/D+B39nCW9bWyPaPDGYB/dtOG3SKs7bxySk8b/k+k3O/lS8HwxB4ZFM/JX+umGtRblIQGSLFAVOYV3T1dx73n/Trk+520dO4O999A92FydvhKzvPXfKx999eD22ffI2S5lFwk/Huwnzl2LlknsumnUzyex/vyqPu+lEzmnsjZBb14E3dld4R97oPEvpNt9dlM5ElwqYHxwQCi6Lc6I4VpQSMUSSvSgnkr106H7XTIrzPi4VDuh8VdFi5FSncbGB3LknTx1S0XxxpM57bqP70rG0yNCFco+/Bp3jrp8ch/AANRdQ6W/IK4Ve4w+XZnHCDSkIXttR7vVQ0aoVuCwtHNOSQ9DQYeHnosd7dls3ZqbbYXG40dBhhtHm5FE/KqCLhQxKWUkK1yNUr4bD5ebCRHZ0ABdC6DMRFYIPXJ6KnJgAGDqtyKvv4HXEQObB1JwgvwOb04kgnZrHH862Z4u/PgjL5t065PvTti4aBY5EaeBL+glJsRnQR4Wz+d/4uYtPWrjXaf1w+w3f8/581W3fwef/eYblVgEJcWxmTBCjjGvKC1BXVQy31c6P/8W6/3pHcny5R/L4MITF+iEgTIs9n5Witc6I6oJW7u4T6Q+O0mP6yhSOGYzLDBGIf3E7YjOCUVPQxqMCNPcvFnipYKDW9oygnFPiT8Z+1NHPz89HaGioN4t+zJgx+Oqrr5CYKHVPT1U0GS1X/021B/FhdRnsNM9PEjxrO9QBdtigxBMdR+Cl656Ov6PJzBJ+a1m7l/iTCqBrSzVsNd1M6P0vi4U2LRjtH3+Mrq83wFZSguDbbkPra69BFRuLICrwaBRwme0c2yeTuyBTC3FEikA/KPxPbczl7fifQupfdqQJDe1mmHRypGQGs6xqIJApx6H1X2LpbQ9i5sTFPNsvLOJlSJo8FZUHD+DwxtXI3SeQjuCURIn0X4L7ndXhGtBUjzqo63INPPtMJ2kRfholm26lR566+0sy/h8ty8Le8haWKV5IpJ9AJxfq+m8tbOJusi/xpw7b0YNbuYv35Qf/ROqPXmBzn+GCjnt1RYIscOzEOXxyzpgxG0W7tmP2VTdh2vgFeO7APh4ryC3Zj7HpZydai17XpnXv8fWIzHSeGT4fttedJS347EgtL277IsxfjcszInB5evg5TYWQMHL4dvhoP1w2tmcUgBJqiJB8eLCaFQA0NjQaC0Fy3o7MyPB2/JNTxw77MahLLUpx/QJDQFrBuspir3dOc1kZj9ydzrHCwgpCICi455x/MtJPCI9O4PejDRieWocW7Sp/P2G0wANHp4njwOgY1dBcjZ2fvstz9vV15ag/LowlkTfCQMUIOp5UN5Qit3Afqkrz0FRSwqQ/JC0FMYlpcDrsWDzv5nMyzjQSUl9k6OYu95SkEC5CHq/t4PMleYnQMYhk+WKHnsbefnHVGC4CUOebiPvM1FB8c04K3thVgT1lLXw7ye/FuFHyaLplWjzvD6ToJLJM5JbIOd1249R4ThbxBRU8+xY96f4FDV1cMCNzTYrL9T3v17abeeSAimzivkTnOypClDUbmUCTTwCBim9E0un+0UEaToMSHyszKoDHD/62rhCG9m5sLGjknHoR9NAPL0jn1JWPD9VwU4DMqX0hmgTT89mcLr7PM18X8vv0jWG1Xe7iEQn6PKigQZ89+bn0Bfkd3HtZCo8j7ihp5jUzpfZcbGMGA+H2u3+MorJjmDdj5bD+bkLWLNjvfhQWqxEKhQpfv/0vvl1sRDSVl8Fl6/ku8ndsxou15YhPzoLDaUfBrm1Inz4Lt177XQSGC8e6hDFhTPyJwzisQvzf1CuSWSFAILKfv7sebfVGfP1anjDjRQqgcB2PAtDf5e+sQ85lsawkOOfE/7HHHuPu/o4dOxAcLCwO29ra8Le//Y1N/b744otReZEXK0az2/9VfRXqbMIOHetsR4jLiT+3bocSLiQ6fBaLWuF7cnnyw+01NAvl5up256Yq2OuM7LYfsCgR6jh/QfZ/4CDf17h/P2QaLZv1mY8dh//iJSz3dza1wdHYSPb9kOmFE5gyYvCuqC/ETv9gfgEEi9GO6rxWPnG0xahwx4TBDY5Kcg9y52Lnxk+Z+G/f9infHpqagluu/y7+UfwIx3pYSJVAB/N5vbOJJVzcINkdyfZJckcSxPFxgRgTAtAkO3X36UQrzg6SRJ9m8ojIT08O6eVwfypQRBfNFV6ooK4CEX8qXtw6PaHXYum2W3+If/71B+yk/cEnz+Hu24To1uGguOo4u+nSbJ3YCbz56kdgW3E/S/0IEenp7Kq/d/eas0b8V218Q6jyk9/HsjtxrkGFqNd3VrDLO4EW1dNTQlmaSuqSyYnBSA33uyQWc5c6lo+LxtaiJj4+PbO+iKNA75qVzMaAI8XMOVfiCyb+MuSk9U7fGS4Cg4Rzf0d1jwmq2+7AweNbBpTmnwo2k9CVDR6G6e7ls1aipqwAU2cvHVLB1xf6oCB0eIm/kG5QWpXLpOB4wR5v2oEYuceP7XCiuOJYLwUUufS/9MITQuPBByTpf+j+341a4sGZRkljF3ecKRJ5Y34jPj9S65XGf3msnuOSfRNEqAtP3XQCnTupg/2Lz45zV5v+bkxsIBNSOn5Rqg2NtpCppcPpYHn+DZPjsTgn0ntMo841jcH4oi/pHwxUJKCYUiLHNM/f97snT4CBQM9NJrd9b5ufOTjxosf6zTVjsP1EJTpdaug1SlYY0N/FB+u8MZ1UQKCCAyXn0MiAWilDp9nBBoIR/ho8OC+VjTxptIDGIoj0kwqI1IP0N1QsMXRauCjvS/j9tUouwtBj0TqHCP9f1hWIPJK9Qz4+VMsqIioiUvGA1AvBehWvVy4mkKno6RqLTvWk99Ac/ya/N/n6iiXfwL+OH+HRRALFhhKBp0QTMgYUzQEJZccOAtf6vJb0IBTuVjGPIUSnBkLr19MMovFkuq2htINJv0Iph9PhYuk//a5gd73wuIebWElAIKXAOSP+tbW1XlM/ESEhIfj973+PadNOXwJ6qWA0iX8jyT3dTtxpOoIFJuFEk0qxfr5QqAGVluX8Lovw3DTnb28wwXy0kf8l+X7g4kSoooVuvb2y0hvHB4cT3VsEp2uOzygqhEwTAofBwM8Nl0WQ+VNFPrbHFOxk0OaEcTdemz64dJEMMyw2B7pUgMVP3k/a7wtLl3ACMtYbsOvwOjR4uhhz5l7DhOI73/8b9h3diPqaMgQGh2PymMuH9DolXPigjsRLW0pwvEbIpyb5flWrEV867Lh6MrC7rJU7qiSxozl+IvuXKqEi2WFUkJYlitSRWZDVsz+HBkVi3jV3YMsHr7OCZl3Me1g+f3iS+MYmgRTQLK5I9KnbJl4nTJ2xBGsLi9BQVMQmWKLp3vZV7yE2Kwc3XPMdlvqNFsprCnB0ozDbP3beYqQmjMG5BHWH/v51EapayEhIhhsmx7H8VYrduzQRqFVx5/TrfAP2lrVwAeDptQVMaKjbSPL/wYjMqTA+cyZKFi6BTuffK9WGSBt1PQc6DtKoCR1LqYtIhIpM1qigWmiMRg3iEOeo9fQ8BfJ84ujO0yL+Ds9iOzR4aGsK0QzssUef8RL+A5VteG9fNTrMNu5Kk6JpYnywl5j5wj8kjGPBFDoNdKEh6K5tQE1tCRP/ylKhw+8dB5DLoAkOZDfzopKjvYj/B58+7x0Z0keGITopDWnpEzF9/IKTOqSfa5Ac/8uj9bh6YgxSw/3xzNdFPE5EhFMk/JGBGi6ikASfLkTiiZjWtJm851cqnJOE/4VNJSyBp3hKihV9ZGG6d76diPkjC9O4K0/bd1SQhjv/owlS65Hh6dkAGaZOTQhAZGTkoGMbXAgI0fPFF9dN7q0uo+LI4uwo/txoO1XKZfjn1lIcrGjDV8cEMkhrldtnJHLxjz4/cXunJhmZCe4vb2W1wcyUMByqIn8BG1/ouyTlgWg8TKqKb16W7FU3SIDAF34oHEPomHjvo3/AmnVvoKWuBlde9wBS4rKx98gGNNRXoCL/KCzNbV5/EN9xYyLpyRPDUbBL+M4Sx/bfFqcsT2IPALlChq5WK/Z+XgpDWQe6mi0s+ydYTXbs/aIc7QYT35/8A+i7phhB/xAtQhKHriwd0dHHZrMN6NZOb5p+d7FjpHF+o0X8jXYzOp1ywO3CcpMBQf4xQOcAWdue+X6S5vuia0MlFwNo3j5wSRJUkXo4u41wdbTDdPgI30cRFARnh3BAF2HJzwcUWXCZzJDJHIBa7q0uquKHZqijDNbAf+bg9zV32VB5ohlGiwOdlk8RUOeCWjF4UcnWJXQHCBvff41ldQHxsV7HXyIKSy+/eUivTcLFAzL1IdJPnQlxVp8WLtTVPlHdgq+O17M0j7poNNN3qUumxe7GB/ureZ6Srvse5+dOvwrl5bmo3L8f+1Z/gtCQqGHN8La1C8ZJWr/eXRVfTBk7F+uU/+LZuqq6YvhpwnD80Da4zFbUHDmC5/MfxaIb7zmpgdBQQTLdj975Oy/m/eNjcN2KB3CuQZ89kX7q5JBMdDQ6uxIubBC5umtWEheBaOFOx68j1e18+exwLUcEUkd1uKBFal8TTTIzJYPS5WOj2dzMF0QenlpTwIVS8hy4e3YSfv9VPt/eadSgQZ4NvcuEULQhPIuUO8VYX6TDjif/jOlhBnz7oT8NqePd1NGOdrsOQehCWEjP2MNQ4XC68O8d5UyARJDxKl0+PVSLjKgAfGd+GhMoEYnJ2ag9ehTxY8Zzb5+Iv6G+kn/XXC14Fsy88gZUlOayxLers5XNxGori3r5hFQdOsTXF99yH+ZMHfkx6kxCnBEnN/x39lWxHP/9/Q52oBc9RESV0Z2zEnmsiGbX39tXxQUfIp/UNaZZ9/f2V7GR3e0zErjj/4uVY3i7IOM9ksT3LVwS+Sdpv4T+IG8BX9DMf3Z0E58X6HNbOSGmX0IQnadpvPBb81I5aYiUitQso2IAeQ5QkYWOFUT6ycOAvnsy8v3T6gJudtA2QCq/oYw1XuwI8SmCkvH3fd/oiSoU10GMa4SEjj/+7E7mHHVNlV6DQ0LimDBU5bZCo1ciPL7/moe+M53HaJ1GANR6JWwmBzqaTFBpFIhJD0ZVbgta64TxEENFJxN/KgJQLCAZr8+4Mf7sEP/Zs2fj6quvxo9+9COkpQnGKyUlJfj73/+OOXMu7LiRsxHnN1rz/TXdDfyv3m1BED1mzMQe4h8YC3TW9Zrvpy6/L7ykf1kyVOE6uO12NP71L3A0GOiozPcJvulGdHy5iiX9/gsWcOffkpcHKKga7wdVQhRUUQkwHmhkA0BF4MizTqmodGxLDZx2F1psJVB1lUFllvNJdaA4G8oAJ0mhF56c3+VX3TPi1yLhwgVJ+J/dUMQLD5ISktmQSKJmJodg7aEybCo38qL6OwvSuWovASwFJHd/UkZUtJj6KW2+cdOP8HL7z3jef937ryI+Jm3IqRhdHcJCXB8w+HGTumK6sFDumrHUNmMeOmmkyOPWSwWArV++MyrE//O1/2YzMDLxuf3OJ865yRYt7EhpQfje4gzuUkqQ4NvFvHt2MhfkyM2cTB5pZviFzcV4Ynn2SVVxQ8X2YkE5uLHAgBXjo70dRSIK/9hQ7PWbIJn2r74QZr7JbyJIE4CGKqBZFoZQdxvmzr8eb1e+ikZbGGAE4rtycbxwr1dSezL8e2sh9spnYKysEP66wGGT/n95xrpIKr1yYixmpYZy8fdodQebpZH8+Xdf5fE+JrrPL5pzAzuNpyeOw8adH6MKB9DWWM/RouLs//RJi71GZgdObGHi31FXh/yyQ9i4/j20VVChwI2IrMzznvTTzP6vP8/l86QvSFZOxRGxG50a4cdSdFGyTufJB+am9vobwcw2s19DkMjp+Rxhe6GAiiaLsofmB0Gf/zQfI0D6vojM04X8QWg9NCMllL0Ynt1YxAoiSj4g/G9PFX599ZhLVvF4OqD1ijrQn32JaupLexF/Iu8L7swa0udJJD4mNQiVJ1r4+tQrk+EXpOFIQJfHd0ocG+huFdLKSBXQUNYzbnMqjGh188wzzyAwMBCLFy9GcnIyX+h6QEAAz/lLODsd/xqjsECMcng68jETPPI6cgrJAhSqPvP9AjlWBKpZ2k9z+kHLBdJP6Nq4SSD9BM71VUE7YQIifvB9RD7xIwRdfx0XBJwtrXC2NUOmUEA7JgO6qZOgiouDKiFhSPF8p3xf+W1orupiqUyNTZinoxP4/r3rBrx/fZNQjZdpVFD4Ce8lLCMNOek9USESLi0Qgfr9V3l8kiPJ6v8tz+7VOaUDMUnznr5xPC+YJdLfA/ospnkSDChiqC+IHN93z6+gjQjlrvwXX74y5Mfu7hRkcf5BPTFOAyEkWlAD1dWUosvYDrtH0XPvo7/nGTtHlwk1Bk9iyQgk/vk7BLPPqUtWIjr87GbbUzfsYGUrz87SpbHLws7WpJ6ihZlE+iUMhqQwP1w5PobNREmuS91ZmuuleDMidNTJo4gxGg3wjR8bircE5ZQTKEaQVD8iSEJMxUCaFaZYMgKRfipG0Ou4Yaqw4G1BKMvcKYJv3KLboQ8Khlyl4tura4SoUxEUyVVdX9LrNiKPJDsnlCgyucMsggi7OEc+EKgLTcUJkfQ/uigd10yMRWSAlseWvrckA09eO46JKhUwSA1GhYJtRU34wQdHYVIks1FfUkKW8P5aWnGsYDdf14QG9eoEsicCza+bLPj41afRVlrOTQc6Lt56yw9wrkDbwI8+PMrbwMlAbvRE+qkoToq3ayfHYX5WhPdzJK5CRWAysxNJ/6kgEcbzG3ROmZcZwSM6ZAL44xXZbGpI40J0G+3fh6p6MuwlDA16j9edwVCF0uo8NjQ9nX0idXIkIpIC2QQwLNafPQHm3JCOrFnCesjcKRTpulp7jumFe4RRgqFgRKtcPz8/vPPOO/jDH/6A3Fxh9mns2LFISRleHMzFBqPRiI0bNyIzMxPZ2dlnnPjXmTsBlxNR9jaB5EeOAfRhgKkZCIimYF5BASB2/D3GfooQLYJWRPO8GrnzExxtbehcs4avB169ksm9JiMdco2GL8oQYaGuSU2DtagIcLZAnXIZtFkRXJ1SetId5CMg/i6nC8X7Ddi66kt0txYjfuYkuNvquJRBc06GoiI23vCdByY0tQjVaU2AP2YuvBpH9m/G9dc/fNqvQ8K5A80K/mVdIS8uaT6PpIXD7RjQrOE/t5bwYpgWNNSJGGyGTVqoDAxaHFDn+WBlG745J7nf50T74PJr78Xn//4bGvOLuOPlm8k7GEweLw5fp+6BEB2Xitqjx9DaUIfymjy+TRmgZ+MeXUQoZ4fnFuztVV0frsT/0w9e8Er8h+tVMNLxExoxWZ/b0CtHmjKsifQTYSH3agkSTgWSYBO5fXZjMWec/29PJV98QcT8d9eN4wLoYGSfZrvJ0dxoEwzCaH8nAr4p34AVY6NZBryrpFlwKV+YztJt2nR3l7bgvsuSmRhq1WGQKeTocgYAweHs5B8UloX4WH/U1JehxRaKJpIEeFDXWIG3nv8V74P6mEjMXXYvpo+dyuZkXWaho+WQazgn/b7LU9hs7s9rBdMyOj6J5qPk4UJ579VtZhyubGPSSh3S7yxI65VMIoLigH92ZQ5+/ulxlrlTlNr6vAY+X7y6rRwRV2p5jpfeLMV3nTi4nf8uPCGp9+eqC4A2PIQVQ2TyR+/hyuvuR1bypHOmHKLP4tPDtWwM988tpfjV1WP43EdO8atP1MNqdyJQp+JjDI2LEHyVcGQaJ96eHS1E40m4eEGjAVQMI5DKjzwE6Dw0JTFYWhsNA0ERUWivqELe3q04tmENEiZPwTfv+Gm/+1FKCCkExJSTrXu/wPFD23HXN37K48j6QDVmrOy9pgmK0EGpljPBpxFoOi53tfUQf1ENMBSMSnuLiL5I9t9880289dZbfP1Xv/oVLkUcPHgQ3d3dOHTo0Fkh/vUWE33riHEagajxgFIDBCcIxJ/+9Y/yEP/eHX+5Xgm5z2yb2+VC65tvwm21Qp2aisArrxx0p9eOH8fEX5MaiYhvX8b3szeZvL8/VTzfyUBmFSVH69BhOAKnyojcY59CRmaCQSEIVbvg6DZhx/7V/TJAW1qEkQddUDDmzbiaLxKGDzqgkLQ7KVTPpmLn4vnJ0ZZm0OhCcsMNeQY8ed04r9z0VCD56XMbS/ixsmMC2FBoqE7AEnpAEUhEKoikNnRaEBPU3zyMTK92ZKSx5H/tF/9F1mOnXvDauoXOfcgpDLtSknJwEJ/B1NyMuvpSvi0gUpA6RiWloaKxRTDcmj/890bV+H+/9ms2AqV0gZtv+8GoLdSJCNFiue9cPnVdPzxYw/82dVu987Nk3pQY5sdkJbdW6HIuGRMlmS1JGDKI/D6xLIszwmn+n8gfSe9pxpdcwIn00XGViPBAWHO8gWNMqVOcHC4U1RdkRbB/AHXF/7uznHPSCfOzIpn0E6iTThcRdIwOVlvRZlbBEiisC2n2m1+jVo9WmvxvPOG9f27Rfu9YXm69Dp+/exi/vSuBj9cOhw1qtw1upR47S5qZrFM0meglRB36goZO3DAlnqMOKbZNBBV7yRvjZI7lVAy5akIsz6oT0SHwWsbpwj82FnHRuc0/EcFdlbygJySnjuv3ONHJ6aho2gddZBi+9e0/cqb52QZ9v89vKmajR3rPYgQc/UteDRQtS4XGgSJB52aE9zpW0d+TOz8Vz6m4IuHSAUWIUhwjdf3rOywXneP/mUR4RBwqsZ+ViIT60sJ+9yGF4hvP/4LXpkkTJ+Pmax/B/m2ruYmx88AaXLlw8DQhcvlndZHDBZvFiW5Px18+TMPfUV8JR0VF8RsiZ/9Llfibzf0zNc8k8W+w2gGXHbEOExDnieKZdj/QXATETqE8HKCtAoid1I/4+6Lzyy9hzS+ATK1G6DfuPGmlL2DBAij8/aEdP8F7P7mPTJo8A04HNLtSldeKluZ82HUdsGtssHokfiEZs5EU0I3SPbtxdN9mLJx9XS933I72Zv7XP/Dk8uFLEbRPUtc208f9dTC8vquCY2RWTow57Ug6er6XtpSyJJNigKjjQi7lRGxmp4adNBqP3GcpZoYI501T43nGlDoynx+pY2MrX5AJEW1+vtsqdU/f3UdSaTdLpe+/PKVXPraEoYM6Qknhep4fJsOmgYg/4eprHsTrf/8ZG2HtPboBsycv63eff28vQ2mTET+9Mht2k3CMDA89uQloWsJYlgtTdm59qZDQERUrbANpGRNQsX8fWmp6uodDBVXcX3nl5xzHQ48//4a7Tls10BfUFaX3Sp/dE8uz2EBMxCeHa1l+LII6pLdNT2CXcXEbpm5bZYuJjZYkSBgOqFBLBaO5meFM/KmTJ448Pbkqj7PCD1aG8jHZF2T8RWkB4gx/Qb1nlj05FHEhOvxvd6U3UpKM8G70SPwHQ0KQC21mwOYnzIATgSDodH5olSlhaHV5na/raoQoLGVSFkqr47hr/tXhYkxPT4TDYUcUGhERpkS3pxtJIPUXmcy9vaeKzw0vbyn1EnkiqrHBWn6PQ3GIp+IGqW5I7k774I9XZOG/FJnWYcG6Ew1o9LscfvZgZFtOQKVTYvK4uf0e49qrHsS+2BTMmrJ01Ek/SfWbWkyIPEWowYcHq9k9ny6iaz6lgJBii+b1RQUIpbVQQYOK6nROpvv2NW8kPDQvFdWtZMgnjRpdaiN+SWF6lDR2cyFNIv5DR3Rkb48jR6eRvUHCgoVmBR3zPnrvH3B50s9o/bIpIhY2o1AoaDL0RKAOBIVCDq2fkhMAOpvN/C9h4uIElBw7+d+eUeK/fLlgZPLyyy/jUsVQEw1Gi/g3WSlKz4k4pxmI88hs/SOECyFlrnDxQHT19+322+vr0blGiLIKvesbUMX2zk3tC5r795s9u/dt2p6TrOwUWbmDoeJ4MxtVtHefgElhQUvkONhcSijsHbh9wfWI0HSgdN9emOob8cp/f4WH7n3SS/672gWvg6CQoef9XirYVtyMN3dVMPGnea6TGToR6SdsyG/EirEx7PzaF7RgoIowRdIMJB2l+VCR4NB8qO+M6PaiZiZ/vtJ9mq+0OV2c6fv+/mq+bcW4aF7E0sLzr+sKWXq4ODvSeyKiLNw/rc5nd34aCSDDmm/MSuKZVuqokhv6PXOSJdI/QqSF+wvEv9nIs54DISE6DbFjx6Lu+HGO7RKJ/6Hc7ZDJ5EhNnsFdcMLG3Gr2BCBEhArHGSrSEHwLOERANEo1tKFBMDe3wdbaDplcjsSkbK/SYKPsP1xdJ7nwcHJ73//4WSb91Olffvu3hpVIcCrsLWv1FqBe3FzCrtbUuRdm+YV94v65KTyfHROo7aeqoe1bWmxJGAmI8PqSXnIHp+MpdfT/uaWECf01E2NEJyB8ndcAi83JpJDMvmhmn46fpPihTnBkgIad8UkJdss0oRt/Mtx99fX406pjsGlied8mtRAhPSoctRVFaHEFo7qhFEmxGWhtqGH3/HLVZMi1nXBZrMirboBKEwSnw4Egdydmx0chPDORHePpUEFjR9SRptjRTw7VsgcJRRk+uiiDZ5aHA5H4/mtrKUfYUaGORgDo/Va2GLGDpP5hcXAGXY375qYgJLC/yWCgX3A/BWJftHRbWQU0HOk0KTX+vqEYZosVQcHBmJzYY9ZGHg703uk8TLPZ4vGVQIoFGnO4dlIsloyJ5HM6nZPDA9T82Q1F/Ub3kZJELk2QOSgT/xYT5qSf61dz4SAhtv+H9fmqV9FQUoR5V93GI8pdNXU8Xu0fE8VrkJamOjjNwvGxvenUc/rk/k+Ev6lSKM5q/FSITQ+Gf+TQ17lnTPt6Kc+FWK3CXNrZIP7dNhM6PbMdiTTLrz91rrW346+WoWvjRmjHj0f31m18m27iBOinTz+t10JGgcpIPdx2J+Q6JRMzqphfMyl2SJJVh93JTpbtXQ1oNVfBqnTBGjwbiVEJfLKiXFggAnOvvxPbP/0fmguL8fQfH0BoXDyWLfsGzJ2CRDYsbPixPxc7xEUBzX9SRzItwp8NnywOFzsd0yKRuuzUQSEoFTJeCFIhgKRfNP9ptDqhVytYXknddyJmoqTy/stTvU7StND74qjgt0CusiqFjDuYIX5q1LebOf+Z8snnpIfz66IOp++MM4GKArRQJZBp1eTEYByuaueiwA+WZvLtdJ0k6KLMkR6rxWjj2VDCVeNjWP4qYWRIiRC+17ImIUpmMGSPnc7Ev7la6Cw1ttbhqzdfYJ/Rabf/0Xu/TXm14JKkQold5RYcry1gNQGRi59dlcPbIsl6SVpMDsTu4BTAk5FLyEyZyP9SZ02c8z9RsLcX8bfZrVAqVANK98mHgHwDCEtufWDIpJ8W2EQqxG2KfqaFOXUWxfMdKVAOVArEn4gTkSjKsaZiGxW/6PeUZT0nTSpOSji7IDk+ba9UkKXuPXWSvzsnkou4G/IE807q5Cvlcp4Lp8QAUq0QyNiNLkPF1JR4xEY0odvqxNGaDj6X0C6yOCcaOw6p0GiNQFlVPhcMTU0t1NNHuzMI/v4u2M2tMBu1XLyliKxAUGpSGBeBM6L8YbY7ee5cJKdU7KU1hp9a6X29wwUVQsjbQNy3qeu5MFtosc9MDcPLW0tR12HDH9cU8zqElGt0vMqJCWCFAb0OOh9S4Xqgefgvjtbh88O17NlBZoxDBcWuuTxF0f/sqMBvrvHjtRQde8i8kIqJBCJpomTfX6viAg8pGUgBQRcahbhB8jiWMERQUZogjvacCrQ9UiIAFeJozdc3snEooDUgGdtGB2ovWP4YFhQFmUrJ6WJyjZo7+xQNSji8byPL9Amp02ZAo9Uhn4h/Qy3YKIWKea0965zBQPP/bfVGNFYKPkkBoUMz3BwR8d+7dy9mzpx5yvuJHZyLGS+++CJf+hL4oXb8RyPOr8pQy3F8fm4rAii6byjP6zH3Mx87gM4vP4Jiw0a4POMJFNV3uqCdNeiKZO/1jfkGXsBTR3goJlUlBxrhsDphaD8Om8IKW1g0vrV4Oh9IfE/oC2Zdw/9u/+xtltI0dhbis84XYesSTn4R4SeXIV5qIAkjSe5F0CwkkZVXtwkSS5JP0mJCnI+kTgp1EEjeSQdzIjAkExTnkUWQOVCXxc4xMP/ZUYbfXD2Wu+sUL0VEjjopd8xI7JWRTKT8T2vy2WWfcsr7grqffmoF7pqd1Iu0U5eJ8qJP1HbwvD8VG2gWmraLH1+RzbLFV7aXcWGDQEUGcm+WMHKkego6JPukAtBg8tnx2bOxSfZf3idpju3oiR2caUtYf5hmeoXjU11bN1QIRqsmDpUHerYB2iZotnBxTqTX1Z6224auLITJ2pGGEqj89b0ctcU5f8rUtswUvD+O7tnEEYCTll2Fq5d+0yvt7+xuQ1RYPFZ/8m+O2qLEj1mTlgzpM6C5Z9oHKG+aCk+0yP/b+kIm9g/OS2XpLKG4sZuLUKSS+fmVOfjj6nxeFD23qdg757wkZ2hxTBIkjCZoMU5eJyT7/9e2UtR3mPHx0SY4FZ28PVOc3ZREoYj1wh2TR6SUor+lQgEVGYiEEqhoRgVcjUaFLlsAvjzSgoyUSrhsdrTKw9gk77JUfxzbuAdFVj84XU7IHTb4wYig4LBehKQvhur9cjIMViSmwvNvrxmL/+6s4POPeC6lwgT9TGq6qyfE8jGL5unpfESFdRFUaP/iiFAIX3WsDpdnhPPr7Rt5R0VB8v2gsQtKUnC4XKxeI0T6q9Bhc+CNXRV4fFkWvjxWx6Q/MlCD8XHBXIzXaxS4YWo8PzaZ4Yb7S4Z8Ek4PYhOHjhWkHqFzsS+Zp9tpO40K1KC524YXNpewSojW+6uO1+NXK8cMq+lC+wL5U5CnBBWs7pyZ1EsJ13dfOV8hl8sx5vKFqKsqQWJaDo6uX+39XRdFEXveQ3b2dLS2C6NVRkNPYhL5l9FahY6FJ+v489+1Cw0u/xDNmSf+P/3pT7Fp06ZT3u9C+JJGikceeYQvnZ1UkR7+XNdodPwbC2p5p/S3KWGThUPlcKH9qzIow3QIuLw/AXY7XHDbhMW4+egB4XW0CVUmZWQkNCcxIxwKfL/3lm6hAEIns1OhKrcFpYeEHaBVLpCBpIxxXG0fCET+J46ZgyN5O7Dj47fRXUs7kVBsio0YuuT3UoA4m0mLBJqHPFzVxgsWAhEU0USPSDTNxN8+I5FJO3UoqGjwn+1CXBp9tbStCR2EOO4IdVooA/gEk38ylVqUHcmRZAQ6gPuSfnHx94MlmRyf5KdW4rKMcG+nRauUD7rYpFlo6uqQ0d+7+6q46ECgroy4yHp8aSae+bqIVQBXT4w9raqzhP6gDhYV76jLRSd835n1vnLXng78HpTmH+bbnZAjr6YD8fGxnAW9t7UORbJ0GBEJmgCmSDDa3qgQtOZEPRq7rLw9kuw4PcIfa4xtqJAlIw7VCIvqXcwR5/wNhYX4y6/u9RYaCAWHdjHxpwLrC898n/N15WoVEw2S+A818YMKYrTNEWi/oRgxuo1IP4EW/BPjg3lf2udZqE9ODOFtlooET68r9BakaH+YnNDfYVyChLMFkv2T78kfvsrH0bpuaDQ26NRKnukWz9+jMR5FxWUi/mI3OjpQx0qupWkufH4EOGJQ4NO9x/l3Jm0YdDI5pqcno2lPN4rMQEdXC/xdHTyOEBJ0bg3m6HV/f0kGjtd28PmFzj9U0FufZ2AvAPL0EEGFdIqGJVBB5T87yvm8SR8tFc/f3VvFxzg6ntJIgVYl56ICRRf2La4TpiWF4LJ4DZ7d2cCqPCJidBwm3DUrGWNiA3H95Di44fZK+CmmUIKE0wUReq1awUqd336Zi+YuG6+/SN1CjSOxmOcLMqhtN9t5f6BCFClFfUHdfGo20fqR1oHkI0JFNfK42V3WwqSfQMo4Wlc+ODeV1aKU5kFrSzqXXgijJzdc+ZA3otSX+FPcpwAZstMmo6BUWB/ReqRvvPC4jMFV13oP8RcREt073eyMEP8tW7ZAoZDks6OB0SD+nWYjoAX0TieMVRHwazDC2Wbly0DEX5T5ux022Ksq2NhKplTCbbPBf97cUS3Y0ImN0OyRXg+G9kYT1nxWDKPFgXlLk9BV0QjatHNSTj5cRJ2/hbOuw+FdG9iZm0AymwA/aWHtC7FrsGxMNHfNyfGejJ/ooEsRLker2/m7osx2X6JOpPqLI4LT8VUTYnDtpDhedFCkorgwJEJ4/ZR49g8gOeOeMmEukojcFeMGljRSZ+lPN0wY9vsg6b7J6sS63AZ0moWuKhF832zaX189lkdMJsaffVflixV0TCDCTqMWZM43GPEnxKRkoKyxBSV5h9BRIxSAWhECs8mCYL2Ko7d2nMhFtywIaoUSs9PCsHKCMAdMxmOkFKG4MFHlMSkhGPXt3VhbVYY6WRwmx/Yu6vGcv+I1ryu4wk+HhDHjuRhgaW7jcYM6QwWTft+TbPZlCxAT0duIpy/oNZFChWS+JEOknGtamJNjujhOQiMx1OGn0ZabpibgoGdfm5Ec6u1Qfn9xBv62voj3HVKhSJ4TEs416Fi5YlwUPjtYBblMhocXpI26rwQZVlIxWRzjig4SOlPzxyYh9/BqlNoysbmwC2Q5bFF59pdwfySnxuLgiW50dbYh2iE0JcJDhi6PP5PHQd9YQDp/UqH8+U0lXAgkZSIV1YnQ5NV1csGUCtxEhOg8Sce+V7aVeQvxogJAo5R7/XCoWE1+NfS5UeOEfr5uUhxklg4ulNMoQbGh23v8oSIOYSAfHgkSRrKtJ4fpeVumpg7h44M1fBFBKtFWk43JeU50IB6Ym4q95S14a3clF8SoCSSe68jDiUg/nd99QWOe1W0mVLUKhawpSSG8HqX94W/mQi6ei+sBKjgMRPzp+EL7AxXltxQ1su/UA+eBoXNiTAbUIYFsZCxXKLzEXx0cwB39yEGUybV1pScl/rrAHuIfFKlHTFrwmSf+WVlZ+MlPfnLS+4iu/pc6lErlmZ/xd9NC1g29ywU30WWfjZ1M8mR9Zt5Mh47DUlABmUY4GWtzchCwbBkseXnwnzcPowlx/oxmuk+GLdtK0VS1CqagMHzR5AeVxcIHnknpOUN6nuzJs3Gw/jO+TlLgc5Wdey5AJJuk14NV+GmmkxYl9HlOTQ5BQqgOx2vbEaRT46H5VFGV84JlINCMPXUqyOCJJM4Ehbz/AmNuejhLoakDQq9Hr1FypnPfbv9IQe/h5mnxcLjcPEZCCyKaxfQFVZKHa+4kYWhEgYg/OUafDJmZU1C2dw+qyppRKJuECF0Xum1quJ0uxPgZWZ3hJzOxQ3eAVs7qEvG7vW1GIv74VT7/TBGMYvFmyZhYfL1XhVprHFJTexeMaM7/qrseRUNjFcZkTuOTLe3/fyl/iIn/oeNbYagTPAdC01Nx2bxr0dXdhsumXnHS8xfFXtGYCykPCBSL9t1FGfjdqjw2OhTHSe6cmcgz/F/nNbJxH6kAqKNBs78iqFDyo+VZTAqWjZFk/hLOn5l/q6kbE1JihjW/P1RQ95nIsagui/YkgqQmjkGi+18oc6Sipd2EFoRCoRFiQ2m+d+z42Th8/HOUGuWIdddxqzw08PyMlCMlAHXtybiPzjuUJkPnJorPo0IfgUj/I4vSeWRqe3EzeysQYaeuPf0srtC+NT+Nu/uixJkIDR2L6MdGaycTsbz6LuwoafIef/qe/yRIGC0kh/l50z2WjY1i01pqEFGRiaT4VLTvC/KuIf8nioykRhA1f8iT49PDtUz66W9JCUCPE6JX8X1FNRw1F741L5XH5Wh0gJRColqIQOtW8pyiohopXKgoQP4kf15T4B2jI1Chgs7BfROgRhQvva8KdoeLzaKH2hyldcgj33+G/YY++PBZNBUW8e1B0dG9jI37otHQfwTWF37BPcR/3Py4fhxvKBj2UeOOO+7APffcc8r7lZX1SJ8uVajV6jNK/Em2b3I7WOGuo5OMXA2Z0mcuxu6ErM+JwXSoEG67HG6LUGHWT58GbVYmX0YTVOETpbD0L0nefGd+yJGWFtZ6lQJH9x+C2mqAy1SO6qYUhLvdUKiViA7vHzEzEC6bdgUOrvuCu366wIuz00vzVCR32l3ajNlp4bxoI8nx02sLoFEp8KcbxvebcyRJoihRHhMjxPjR5edXjUGoXn3KuUgqKFw3+dR+CbRQoZn8ZzcUM7G7Z05SL8f+0QQddO+Ymcjuy2JUlYSzN/NH86o05y+DbMBRivFZM7Fa/i+ccI9BlywAZk0yHHIrYLZA2ZUPmewyZKqr0e3WY3mank/QImjbEeOnbpue6D3BUhcgIzUD9S1tkPmP6fecU8bOBcb2vi02LQtlzXtQVngUHfWCLHHsxMswKWfOKd/rulwDj5QQqPNGZl60iCClytzMCGwpEEaSrhgXzZJ+en3UoRBHm0gO2bfbQMUzukiQcL6AiPaSzFBERp65cybtG17iHygUpynaKiwpFoFVHWh3BKNKlgidzp/TW2h/mzlxCbauehfRnbv5/gqdtlds7/kGes1EQkRVGs05i8a3VPh4YG6K93z46KJ07m7SCNPfNxQxiSGQXJ/iO31JheBrJPN6QdFxiIi/mAySFDp8ia8ECUPFzJQw7CptwdIxUWxIeev0RK96ZzATTVoTLB8bxfL8r47V88UXd89OZpWM77qCzp20/ZNXBZ03aZ8hfxwi+cQdqOlEjSUqAry+s8IbD/qLq3K4cECkn45lpFgic8H1eQ18jiaiTpyjsKGTi2T0XKTCOVbTwWOl0VonFoeGgyyLqJk0mCdBQUMXNuUL53zy5yDD4aFCjPaMjk/1Ev+Y+DT+V6vWQa5Vw2UR1g3i9bZTOPvr/NWYsCgBSrUCwZGndwwY9tH0l7/85ZDu9+STT+JShMMhkF2CRqM5o8SfZPtGOT2GG3qnG5CrvOYRBJ7l1/SuXDnaaON2A44mKMLDoJsoOGSPNmhGxxfktk5xOyLIxOvLo3VQW1yINXcBMlInmCHvLuTfawL9h9y5DwoIRWhKMlpLyhAQMrAnwIUMIltkJCbO/9HsvVohx4Z8A3fkaQ5r1dF6JsRUaT1R1wGL3YWtRY1c/SQ58hU+TsIiiRtNEGl79rZJZ83bQyL9Zxe0zdBXS9vXw/87xNcpPpFILsnxRaKr1ejRFDwGXe0BULodiA4PRUtnN9ymbjjq8/g+ofYaXOZuwZj4u/o9D23DdPEFndSXjU/GZwfl+Dq/EZGBOpYZnkzeOnbsbFYetJSWC3P/CjmmTzy1ez8lXXzoMRwkJ2zqdIiZ2ISV42P4PpRuMTdD6ELSvDS5adNtpKSRTLUkSBBAZn5v7RbOCWTIKuKhB3+P/OdfQnsT0CwLQ6o+AIkeIkvn/ZwZc3Fswxr+WaW/cKItSeX2q6vHcBEwPlTXr7hO5CLTMypFo3NE/OlYevPUhFOeO8XPh4z/CFSIlCDhTIFUKX+/lQZxejCU1IzlY6O5aUTSfFHtS0k2VBTzHZU5WVoIkXgqNIigbd63+0/q0pe2lPLYKsF3/p/IPcV+UgHO1zhY9BAgkB+G1WrD+tJufmz676dX5Ay4T9FoqYhDle1eT6nhrHWTk3JwHEJcekpyT/NC7e8Hi4f4hyQkoKW4FMbWnlGgwZCQc+r0tpPh/C2jXgRRfiqV6swSf7MdZplABvX0UET8fdIU3J6oMxF2gwluCzm0ORD1f/dDFR0B2SlUCaeLNo/MXwTN+fsSf6qiERLcCsjdRrg1DmjVcmjbijj+Kzh8eBv29dd/B6vXvI4li27FxQaasyfSTwdDqvrTzJNITshxn+TIlGNMUUc0X0XOwiKo0/DIwjSWap9pXAqGnpcqaMFKBnZHqoUTLR1mKL2BLuRoT8724nhPpSKLjgDIVJbjL3fdjy8O5uHAF+tgbuhgx1qbUZjnCw0Zuux9XkYEPj9UxSqX33yRy9vawuwIHvfwVQ2IGJsxDavUKrg9M/0hSYn9nHIbPCZEaZF+XMWneVvqLBCELkd0v22aOgd/vGE8+1yIigf6bPouaCRIkCC47X9vcQY71PuSYCoQPnzrffjxu5ugVKqhlCu9xJawZN7NOL5tA++/Gv3oF6rPJKICtXw5FUgBRHPRaqXMO6t/MpDU3xcS8ZdwPkI4N0eyuTPJ/CkedKRGy9NTQrCrVEgIo0YDeWWQF4CoKvKd/afYT9o33t5byX4Z8zMjeU2cV9/JZtXj44JYkbw5r5ZTqUi9KEZnfndxRj8PAt+CAZn3ksEnGXJ+f0nmgGuPgbC/MQz7lTMwXXEUmck944pa/wAeSSQkZ4xn4u/oNMFiNfEx8kxBIv6jjKFG+Y0O8XfAJCfiL4Pe4YZbQcTf5/ce934R5mN1cFP3y9kEVWwUm/qdKbR7IgNF1DcageIupE2OhDpAhdrKDgQbnZgcGoQiuQVGtYNNhiJsnaQXQkj48GZhKcP7gXt+g4sNZFpCbr+E7y5K5zlCOmiRQRBJ7GlR9cmhWp4bfHlLKd+P5v1pEUVmaivGxoz6rL2ESxMkUzXa6EQuY3NFmk8lF36S5pMfBJ1s39tfjQDKsu2sxeLpqQjU63DHZZNRvdkGR5cLO/ev9prcDDbjNhBou78yJwxFrU60mux8Iif5Hc0dfmdBGssDRVUTyRFVSjVCEhNYBUTIHDutH+n/89oCfh/I7f1c87Mi2IhrsELWaESHSZBwqYDiYQdCRnQQ4qKTOcauL5GlIl3C+ImoOngAgWEXbyzrQHPSg4E6mWKhn5A0hGKBBAnnCnT+FFMmRgpSEPzfip7EMRpvpREiGqm5cUr/qHAqBDx57bhet1ExQoTL5cKsWCWaHVo43W78c0spNzWI5JMv1qbCRizMivSuvcfGBbEXASkeBZoONu4kVSCtJaigQDHEA71feo17yjvhnzwdS+Zf3YvQ+wUFox3COG5ifCYOaVRwW+0ory1ATuoUnClIxP8MdvxPhdGQ+pu446+An1MOUFXNcxIVZ/y997U5YS0VNllFgHlIpJ8W0aZOG+dG+mZqDgUd5t4FkIb8Njg7nGhrakGuaS2iDtZB7pbBMvYWOO1dcOqF+7N4Vy5DWPi5d/E9H7C1qIm7q2NjA71zhPdelsLknsxXqJN/49R4/H6VIKMmAkQEbTgZqhIkDPVELppJ0fZF2x1Fde4vb8Xq4/U8/0bX9Vo/PPWDb3u7WCTdTZkwBcU7t+PAxlUeVZKMZ32Hg0UZIbgtMpIfjySy7+yr5FGW9/ZV4beek/xzG0u4Ip8V7Q9X8FQ4UAml3IWZk5f2Kqb9dX0hk36KuKRCAUlzaXzg7jlJZ8ToTIIECb1BxxAyvCMJL9XYKA7MF7ff+H1sivkEMyYtPmev8fxzWvdjwkNjTmF+0kiRhEsT1PWny0iglFNKRxCvJ2altmN3aQv+sUGYwyfQukIcb7h9RgI32MiPgLr8pGAi40PRjJhA644fLs3st/amsQSCTuMHubq3SWlAYI+ymRohutAQmOobUVNXKhH/8xUvvvgiX3wJ/HCIv2jaMpKOv5muyMjVX8Hdfh+lfy+pv62yEy6zFXAZoRyC7LulrhsFuxvQ3mBEYIQOU5YlwS9YM+yOP82X0wyNsdWCCIUKJ/avR3tXHhR2DaBwwSyvhFXdwu/BF1GRQzP2OxugHfdUM8VnAuQKvKNYcPBd4FOtJNkUzQf6zl/fPSeZZdbkoirl10s4W6C5PSL7FBkpzuCRQV9f6eoVi7+Bkv17vN1+hV7DXfnTBZkB0UzeD94/wvN7tI+63G7vzB+dlO2OeBj0izAz0Q0/vbBIILXM85uKuXJPM8fURQjQKLliTzLCcx0BJEHCpQSad6fjBhW1+y6Y1SoNVsy//Zy9tvMR1OUn4k+KPmm0ToKE0cENU+K5IUDRguSfRXP84lgjRVnHBOlw9YRYViddOSGG47A/O1LLDQNaN5BKoLSxGy9uLuERAF8vhMoWgfgTGvtEmweHiOt6GcKDoxAUFsHEv7FBKDqcKUjEfwR45JFH+NLZ2YmgoKCzL/Wnjr+cJlTc8Hd65vt7zfj3FBaspe1w02tzGKCKElwlB4Ol2459X5TD5Ymj6WwyY/sHRZh7S+ZJyX9pdR4+/t8zUKhUaFUGw+23FMnh0Shp6oa5zYZStw3G7hYobRq45GrYtW3o9M+FQ9Vj2iEiJqp3Xve5Akl/qAroO8d8NkBqC4oFIldTkurTfPXJMD/z/Iw7knBxg+S5NN9OhJvJs17Fc/cDGXCmT5/FXX+Cym/kMlWqvE9KDMbBirZeTtr0eihOb0tRE1TKySB/forXemxxBucL17aZWTL7o2VZXtl+mL8UASlBwtnGrLQwbC5s5POrhFODDEXJH4k8SCRIkDA6CPVT46dX5vC6WwTHEnqaaQRqZvh6AIjjhQSKOf7LugJWIn58sAa3TO9pXFZ6Ov4i8ScvASocUDR1WGi0txFCySXhUQmoP5GLtqYeQ8ELhvhPnDgRU6dOxf/93/8hO7tnLuNSwFmV+rO5nxyQOeHn0gic37fj71kIO7tssDeY4KbX5miEMnL2SR+3uqCVST91+icsjMexTTXobDajprANWTOFDXUg7N6zGtZWYSbGZTUgXpWISGMgKvzcsJkd4JKI3cSv0e4XBbfGgOZSYQZXoddCplDA0WUkbTBihhjld6ZB88sEmqE/G6ADDx1EKPdUjPpZlB05JDdVCRLOBa6aEO3ttN86LWFQZcyVS+/G8/v3wGWzs6nNaIByg4n4035qdQiFyivGR3MnkfYb8iH48GA1mxC+vLUUJ2o7va/zTEVOSpAgYWggw98X7jhzktaLDeR18rMrc871y5Ag4aKEzEdFM5Qoa1/VLaX7vLS5lFMA0iL9MTUppJfUn0DRgmLsL/kQUPzxoXFjkZAs8OSYmGQcp/julp5EgjOBM6Jr/O53v4vQ0FAsWbIE27Ztw6WEs9nxd5htAvGn7pdTI8z3+3b8rS64HQ50bz0KR3Mz3NYmuhHKyP5mOVazA/u+LENVXgtqCjwukxPCERShR/LEcP65qVJw4h8MrYY673W5UwG1zQGdAwhqE96nTeWGC0a+bopJZN8At10wqtEEBSLA87rUgf7nRW4vyYKPeghNh9mOjj6GhaMNyuf92afH8Yev8pn005gESZDEiqMECecjyBH/pqnxuHZyXK+M3r4I9AtG9mXz+XpkXNKoPPe42EB27iVlDFXRKQs8I1IYZSLZPhn6fGd+Op/QD1e18/gMnXCHY6olQYIECRIkSJAwGKYmhWL5OKEx+ubuCry7r4oNAH2Jv0j6CZQipFSo2JR8+fzb+LbkeKEAYO80wmLjQe4zgjPCrh544AH+97HHHkNpqeA0fqngbHb8zSYzXDqP1N+tE7r9Ph1/R3sn6n/+DzhNoYA6EbAL8+LKyP6y8PqSdjRVdfGFoFDJEZMmjC9EJgrduY4mEyxGO7R+A7tai1UqdUgg7J1mQGXjefPQFieoF6cNMMMWaITdosa8Kxfi0PtrAM84gX9wCELCo9FWWg598PkRjVXc2A2zj09CVasJ4/Vnxvir2NCFf20tZaMx+swo/5jm+IcSCyRBwrnGFeOHVpy6fsWDmDj2MiTG9o7NOV0QuZ+ZGoYNeQb+mZx4+86+kqv4PXOS8PrOClbO3DU7SZqPlSBBggQJEiSMGq6fHMdNOyL74ppkMJQ1GZFf38V+RSIiQmJgVgXgiGMMXtlwAI9dOZdvf2NXBSuBf7gsc1RShc6ok1FiYiIWLlyISwnDIfMjIf5upxtdTqGSpIALGggE0e3j6m+vNcDZ0QGZxuOW6xZItjKsf7eru1Uw3RIRmxEMpcdsR6NXceef0FQ9cNd/c24putu6ue4QEpsAJXsO2KFSyBGkVnJ3Py3OAZnSBV2sEldNToI+vKc7GBgcgcXzbkbUmBwsWHoLzgdQh9AXla2CWmGk6LTY2YhPREu3lU1BiPRTJunfb52Eh+alSaRfwkUHctBNTxrHxl2jhcvSBEUSmYMNNitMs7FPrMhimSwZ9UiQIEGCBAkSJIwWiO88NC+VjYPHxfU0CYnckyeRCDILJ+woEZqxhKPV7Shq7Eap31R0yfzx6d4SlDZ2oaSxC9uKmriYsPZ4A3YUN3OK0jnp+BuNRnz11VfYtWsXDAYD2traWN4fFRWFuXPn4oorroBOJy2wzhTxJ0d/o5zUBW7oYYVc7qkC+RB/Z7tA0tWpaYAsAvbKRmjSpvAsPcFhd6KxsgvRKYHoahOUCsFRelhNDqRM7K0KiEgK4I5/1YkWdDVbEJsZjOBIoRjQbXXg3a07EeRwQeWvg1ofzMTf7bZzh40MwOLcbri01Xx/TaCgIAiNiYfJIKgEwsKjOd7roXufxLkE5YP/b08lm30drhJGHtIj/dl5uLp15NIbMiD7zRe5LEv+w/XjEahV4tXt5SxVps+J5oSkKD4JEoYOMt0hJ10y7DtZ8kZ2dE9lXYIECRIkSJAgYTQRG6zD768bz9ebu61M0i9LD8e7e6tQbhVGm2+ZHs9+AEerO3j8kFQCZEBMkIeNBboK4LBY8aOXXqN0c2iiJ0Gn0bM5sWhAOCUxhGO9z1rH/+mnn0ZkZCR++ctfoqioiGWTRPgJ+fn5bOpHP7/00kun9aIuFYyo42+2w6igmXM3dG4bafP5dpfZAntdHVwWM5ydQofaqgyEzaVCyDduR/iDD3ofg0z7Dq+rRPmxZm/Hf+zcOCy6OwcBob03qMgkgay3G0woP9qEoxuqvRsguc87uwVSD/8gOM1ayNwyuGVWhET7gUS1CpkMRrtA8v2CBNOL2PiedIHIiPPDzG9jQSP2lbdizfF6dimnCt4Kz9xOVauR5/43FRhQ3yEUARq7LPjJx8fw+RHyDj816LHJK4BGCLYUNvI4Acn8aZ7/0UXpEumXIOE0QHJ+MtiRIEGCBAkSJEg41wj31+Du2ckcDxgZKHT5w/zVTNopAYkagRTP+fGhGu/f6LV+mJ3uBwWcaDZr0GjSAG4Hqwh8UweIg7y2oxzPbijmRuIZ7fjff//98Pf3R2FhIeLj4we9X3l5Of74xz/ihz/8IZ555pnhPs0lAZfLdfp/a3WiW05ycTf0RPzlwldpPnwEjpY2uCwWuOlC5LRJDp3djAB7z/N1tVpQXyo48NcWtbPrPsE/dGAJLnX3o9OCYOqwwdhhRXebhf0AAmP9sDG/EQqzR7LiHw57l/AYDrWZ/QHaG4xQahToMgr3CQoWpLlpyeOwDx/z9ZjI0TH7Gglop9pZLBQnaCdt7LRiZmood/wJ9PNnR+q4KECVtt9fNw7rcg2c/0mfwTUTYwecHbY6nFz4IPXDpoJG7+10Xcw+p4qgKP+RIEGCBAkSJEiQIEHChY9oz4hhRmQA84RpSaHcNP3fnioe/SW14k+uyGb1b2bkFLzx9VrsrHCg0y7H1RPjMS01Fv/YWAyLx3eMuAPFGBM+O1KLFZlBZ4b419XVYenSpbjtNsGB8GRISUnBq6++ijfffJPHAEJChC6vhFHq+FudMMmFjr8fE3+hU2yrpMqRH1xGIzv8O6GCG/Q7F6yWnucrPdToTQDoaha617oAtXeuvy9kchmmrkjm63k76rjrX360GSaLheXxOrMgi3fLo2E3CDFZLqUZMenBKD3ciOiUIOQdFwoNIaGCe39KfDb8YqL4scnU4lyD8nFJmqNVK/Cba8ZyV95fo2QDsRA/NdqMNqw9IczWNHRYsLusBbtLhR2PPoOaNjPL9X1hsjnwi89yeae+emIsz+lQdz9Aq+LHI4kP1QqWjx08JlGCBAkSJEiQIEGCBAkXHpbkRMLpcmF+psB/KO6PiL/o97VyQiziQ3r4w30rrsJ9fR7jhdsnc9T3V8fqcbi6x4Nsfa4BY8KVZ4b4x8bGDon0++Luu+8e1v0vJYyI+NtcMMqFLr3eZQNkSrhdLtgNBkCZ6rmXEs7QaO88h80mdPzNXTbu8hMUSjmcHpmIf8jQOs4U80fjAc3VXWjRu+B2u6C3GSFzK6CrjYHDaYNT7oRbY+PHXHrfWMgVMqzeKWRoh4fFCs+tUOKHP3wB5wvE6tnMlFBolAq+iEgI0TNRp1oJEXX6981dlTyfI6Kwoasf8ScpP1Xw6PKf7eV824yUMCSE6PD+fmE8YnJiiGTkJ0GCBAkSJEiQIEHCRQa9WonrJ/eo5DOj/LF0TBRHhZOp97SkUzfHeazewxUMHZZeauW1JxrO3Ix/a2srnn32WRw4cIB/Pnr0KH7605/iUsSLL76IMWPGYPr06cP+W/qiRmTuZ3PCJLNzlJ+f20522UKX33d6QCaHKyyWZ+wJVqvwfCzxd7sRGuvPpn0i/PvM9Q8GfaAaEQmC/N1oMMNtb4bKReQ/AG5nMMxqJTp17ZC7Hd7igsvlhMNoPm9k/X1BnfkDFW1e2X1fJIX5VOIuT2HZvkj6Iz07YqGhf+JBaaPgs+A7AbAwK4JdxkUjMtFDQIIECRIkSJAgQYIECRcvZDIZbpuRiG/NT8P05NAhRwxHBvRu0CaFCd5Gx2p6p5CNKvH/5je/ibKyMjb4I+I7ceJENDcLndJLDY888gjy8vKwf//+szrfr6nYBPeJ1TDJBGLtx9+iDK5umheXQebTqXYFRkDukfTbPI6ShnJBck8z+2FxAoEnBIQMvessFgmsRjtgbYDSrYTKHQS3TI6KCAXcMhfkTuH5agzlKK8pEBIH5DJEhgod/3MBMsF4ak0B3t9f1et26tYTkY8K0iJ1AJOwsZ6szQnxwZiTFo45aUJsmEYlx50zE72P4Wu+QShpEmb4b5mWgNlpYVgyJopNyIj0/3hFNudykvGHBAkSJEiQIEGCBAkSJAyEyIDePG1+VgQXDfpQj9E198vOzmbST3jllVd4jn+olYqLHVZHTzb7qTCSbr+mYgMcLekwBUYDMhX86fOXwUP85VBGRMJeL8yiO3UhkHk2CIvZCavZgdZ6E/9MMX4OH8O/wYz9BoLWT0gRsJkckDk7oLHqAYUO3QFK2LV6fj0ypwv1TVX47zM/5oIEQanXscT/XIGc+clFv7SpG9dNjvPK+cmgT5T0D7Q9Z0QFcPweOXISVtK8fpuZc8OzowO4ANB3zt/hcqOiWej4U6bnsj5z/H3HAiRIkCBBggQJEiRIkCChLwJ1SuYbVg93o0ZlSrgeBVX9Fcej1vE3GAxobxckBQ899BA6OzuxadOm4T7MRQmjQyDUZ5r4y+xmuF0qmNmzH/BXEHl1s5M/EWxFUBAUAQGQKeRw+RB/s8WBxvJOlvkHRujYzI9m8Om61l+FwDDBdbIvqItNEXQu6th7QH9LcJgcUJu7oLSpIVfq0R6mBBR6yGUypvqFpUeETr9H4aAJ7BktOBdo6RaKM/ReKpp7vq8Wo3B7uIfYDwRy8qd4P+F+Gvxy5Rie0SHzP3LqJOyvaMXeshY0dlpQ32mFzeni7n7MaeZtSpAgQYIECRIkSJAg4dKGTCbzdv3lchlzi6xoQZE8VAy79XrHHXfg8OHDWLhwIf/8+OOPS479HnTZzgLxd7shcwjE38YD/W6oFWqO7iPItDrIVEqok5KYsDsccig9BQKLyYEGUeafGuTdiObckO6dxe+LD/ZXY1txEzvcz0kPx/2Xp/DtOn+VN11Aa/eYTARoYNPIIYcGcg9BbmoUDOxo/MDtcCI6KQ3nEq0egk+grn9WtEDYmz0d/9ON1KPHoTxOctskBOlUmBwtFBFIyi+pYiRIkCBBggQJEiRIkHC6oLhxSgiLCtRw45FUx58P4++H3fFfvny5l/SLuO++vqED4Bi/Sw3ddsG87ozO+DsF4krEH27hMeQKNVwW4bkVwVSEIZ29DDK5HPZuu7fjb7c50VIjzJxH+pj6EeEfiPTTPPy63AYm/QTqZJOcnUAKARYA2FzQWKxsXqcJ6plVl6uFwkBbi4H/DU1JxqO//Cduu+57OJdo9URnEEobhc+id8f/9Ij/lMQQNvwjgk8ynHazDRuKBLPA9Ehphl+CBAkSJEiQIEGCBAmnjyhPxz8uWO/lGBQRPlSMeNi6srKSnf07Ojp6GZs99dRTl1yUn9FhgfZMd/w9xQWXi7rJLjCrV2p6iH9QcO+7G3uIv0smg8vhglKjGFTW7wsirwTKnSdpSV27GYer2nF5Rjg0eiXcVF9wA1qz8F4CwkO9f6vUqACzE11tLfyzzi8AIYH93fLPJHaVNsNodbIcX0SrR+ovdvxpmyWy3twtdPzFGf7hgsYAnrl1EpRyGUoau/HM14U8409DGBLxlyBBggQJEiRIkCBBwkhAyWNVrSYsHRPJP2tVCvzkimz882wQ/z//+c/4+c9/jtDQUPj5+fXzArjU0O2wQjvEj3RQ4u9yAs3FgCMdTrkCjx/8HKFqJX418Rrh93YTuzdyxx9WwTJPoYHbLBB/eWCwN9KPCzGeCD+5goL/BITG+EEml/VTIBzJ34mE2HREhMTwbTTXTwjRqzEzNRSfHqrFvvIWJv5EluUawRhP41EERMVGAk3C42m0GjjNFljahdECvf/wZlCGA4fTxR17Md+S0G114LUd5fxZjYkNRFywrldnn9BlcbCpn79W6VU1hPqdHvEn+GuUXiM/yuTcWWSgjAV28ZcgQYIECRIkSJAgQYKE0wU1Gn+wNLPXbcF69ZmT+vviP//5D3Jzc9HY2Ijy8vJel7lz5+JSQ7vVjHZXj3z8tIh/VwOQ/yVQvhWN5haUW2U41OXsGQ1wWOB0ywG6MKjjr4bLLPgLKAJ6CLbL6YbCRR1tuosCTU4H9hmNCIjq7yZPpP+r15/Dv/7yQ+9tbR7iH6RXYUay0M3Pq+/CG7sq8PmRWsi1crjdLshcQrc8Iz2Jze/0GiW0OoFou8zC7wICe9QAo4139lXhZ58cR0FDp/e2/PpOb7xFUUNXvxl/eo1i3J5o+BegVXLlbDRw6/QERPipMDstdNQeU4IECRIkSJAgQYIECRJOByMi/mPHjkVWVtaAv3v//fdxqeEDQytecnaiTW0aQcdfINswtcLhIfvCKL1w+9s1h3BfwhWoCOjxE3C6ALddIK9y/x5ZudPhYuJP3X6FUoYDZjMOmsyohjCn74uS0qPCc9kd3iJDu2cenjr+kYFaJIf7sYpgW1ETvjhShw6XC26XSVAdyGRIS0lkuQldVOre1aegM0T87U4X9pQJ4wRlTUJ0HoGM9kQUeIi/1eH0ehRMSRRGIkqbjD4y/9Ob7x8I9Jn9ZEkS7rtMMEOUIEGCBAkSJEiQIEGChAuS+D/22GN4+eWXUVdX12u+n3DDDTfgUkWVtkdOPmziL36OThuc7p77WD2mfh91yGCRqfFhghuQCQTdZXQIf6cisq3o1/En4z6S5VtcLpb4y/T9xxGCgnrm7xuaq/jfdk/HP1gnmEbcNDUe2TEB8PN0y1sdDsApKBxkGjWTfSoOkKxepentdhB0hub7C+q7vHmWbZ5CBW2LJ2p7uv9Fhi6+rc0ovB/qwI+PE1INSgxdaO4embGfBAkSJEiQIEGCBAkSJFy0xD8gIAAvvfQSEhISoFQqoVAovJetW7fiUkWgQzZs4m9zOdDhOybgtMJO8/59iL/Q/wd0ThfEqX2nyQo3ZOhEEGryW4W7yWVwOXs6/iqtEjY3oNYq2HSu3+vxea6K2sJeRLq28FM8/acHoXXW4Ynl2d4IPIPNTlUH4en0vUmzWtvbPDD4DBH/I9WCc75voaK23cxqBRo7IGPCTrMdhk4rWoxCZz/ET4XM6AAegahpM3NhYCTGfhIkSJAgQYIECRIkSJBwPmNE5n733nsvrr32Wjb50+t75sapu/qDH/wAlypUZHc/TOL/ibMCZQ4drtE4BHM+hw0un46/pRfxl8Hf6Ua3h6c6jRY4EQi3TAFrtx0IVEGuVsBmcQodf5UCumANAuV6yN0ulsf3hcPRo1Kor6sAJpOrvx0yw2p0GI4xid534GskxqSjvfRTuCxRaEMmIp1GJtCqgN5EX9OH+IcH9zjrjxZoOztc3e79uc0zvy92+6lAYXO6eMa/0NBFtRBGmJ8GgVoV0iL82YGfkgoIEVLHX4IECRIkSJAgQYIECRchRkT8Q0JC8Pvf/37A3z3zzDMjeeiLHn2Jf5NbyZS+WyMDaHzfaYOjl9TfLszeu92s6g9wuNHgIbLObhOo/y+TyyFzu8Ej+goZbGaHELfnp4SM5P56JeQWx4DE327rIf4tjbX8b0PtAYRUH4ZMlPY312PXoXWw5O5BmMMFY+xcyNh7QAZdiP+gxF+mUkKr6W8oOBRi/9zGEi4sfHdROicJ+KKixeRNHvA1I8ytE+b7x8YGwmRzMvEvNnQhIkDTy7l/UkIwE39xTEXq+EuQIEGCBAkSJEiQIOFixIik/nPmzGEH/4Gwbt26kTz0RQ+vS78HNsEiD06R2zrtcPrcx+ayoctu7On4O+j/AmF1dRlZ6g+Fgom+i0h5t0MY+9cooFQpIFPIYLELhYQBO/4ec0BCZ3Mjk2Fz/WH+WakX5vW7W5pRXVXIBJwKDAE12yG3CH4A/mGCWZ4IjQ/RV+p6z/sPFRS9d6ymHUer272k3hcHKwWZf3qkUHToMFNxxO01+cuJCURGlL/X4E907/cSf4/Bnwhpxl+CBAkSJEiQIEGCBAkXI0bU8a+vr8eMGTMwefJkxMTE8Gy/iLVr1+Kpp57CxYwXX3yRL4Ma9Q1nxt9jytdD/K1w+M74O+zosHV5zf+ULhmb+9GPbocTLpmc5/qpGEDkt6Pdyo+o8xeM+ZwKGRxO4W9tnn8Hk/pb2jpgtNqhaRc6/+lTZ6Jk5zZY2zvR0lALuRyw6vTQmE1wu82ATIGw2N4z/FpdT3a9St9b9j9UNHRYvNcNnRYEapX46ng9JsQHIyZIy+kChCVjotidn4oVVa0mLnCQOICyLqnLr1bKeQzgUJVQKAjzEP+YIB2igrQweJ5HLAhIkCBBggQJEiRIkCBBwsWEEXX8169fj5UrVyIuLg5yOWW6u72XSwGPPPII8vLysH///hERfyecLNXn6+I3Qq7+no4+wepyoN0qmv+J1QGS/nuuqqmrLuOfHTYnzJ7YOo2fQPzJ/k+E3XFyqT9F+u0+uhVqi4WLCSsW3c7/UoGho7YOcpkM3QmL0BGZgk5dB8wBHQiPjO71eHpdj/Rf49d7DGCoqPch/g2dFhyobOMYwWe+LsLq4/UczUfEfmpiCII8yQMFDcJ8P91OvgTk4L8kR/AXMNuEzzzEh+BPihe6/v5aJd9XggQJEiRIkCBBggQJEi42jKjjT6T/1VdfHfB3l7K533CJv0PuUwSgzj1fsffq+JPrv4Ok+mJRRSaHTCbM+xPcGp23JGC3kgJABoVSBrnH0c7qMx9/KnM/woEdXwq3B4UgJDAcqgA/2Du6uShAj+Qfko7ugPFolX+MDH8bxmZM6/X3Om0P2dfpT4/4E9kXQV158S2YrA58dayerxOpp/cYolexk39+veDQHxnQM16wYlw0Nhc2eom/2PEnzEgJxdf5Bjb6kyBBggQJEiRIkCBBgoSLESPq+A9G+gl///vfR/LQlwzxpxhEh7yHiDvEb8RhhdPdc7vV6UCHjVz/SNsvA+RKz3Xh9261MJ9OM/49xL/n6xWC7DwPPVCcn6P3DL2pVpD5qyPT+F+/kFDv7xR6LaJCIyGTyeGKvxnfvO8pqFW95+P9/AK91/X+QTgdNHTQ+xVAcXzVrT0/E3RqBS7PCO/VxS9uFIg/jQJ4X4tGiSvGxXh/9u34J4f74ffXjcMDc1NO6zVKkCBBggQJEiRIkCBBwkVN/MnA74YbbsALL7zgve2f//wnfvnLX57W3PuFjiTN0EccxM+HRiRssh6C7xRl/CT19yX+Lgc67UTf3TzbrwhUAVQwEKMDVQKZpZ+cDrdQG/CRrlupIuCBbQCpv8MuEP+4iROgCvT3KgkiE6fyv8ERPVJ+v/CwXkZ4JJPvCz9dD/H3DwgaBam/mef3CYtzorj7f9X4GK88P1jvGWmwC++NZvd9sTgnEtkxAVwooBEAX0QFaqFXj0j8IkGCBAkSJEiQIEGCBAkXJ/F/+umnMW3aNNx5553e22655RY4HA58//vfH43Xd9FCJP5kiOjwJf5i2Dy7+vtI/Z0e4k+8X+aEOl4Hh00LNzF8mQxuD/H3MnZ6bG0P8e+h0ANL/cWOf1RMMr7/fy9CnTMDrYlTkZIwjm+PiIr33jckKtYbjUcO/7oBZuP9dAHe64GBPWqBoYJk+b5RfY2dVp7pp+e7aWo8XrpzKkv4va9J39uYLzqwN/GnAsETy7Nx72VSZ1+CBAkSJEiQIEGCBAmXFkZE/O12O372s58hJCTEe1tYWBj+9Kc/4ejRo6Px+i4KEIF/4uCn+MvxVf3i/Ij4232l/uIgO7n6+5B4m9uJTibnHmf+uka4rRa4ZTKoJkyBSyaQb3GS392H+Pcy9xuQ+AtmgCqVGlqNHvqk64DIFV6n+9joHsIcE5Pi7fj7aRRMxvvCX9/T8Q8K7O34P5z5/kCdChpVz2YaHSS49NPF93nFjr/3Nfbp+EuQIEGCBAkSJEiQIEHCpYoREf/u7u7T+t2lhqMtxSgyAzs6ejrYVrsNLrg8Hf+e+zq9xN/eb8a/i8i5pxjgctBfy+GUqdHQ7Q+nh8x7Ff0yQOlDhm0+RQT7AHF+LrtA/NVqHZwuN8qahe9PNL1Lis303jcxIZPl8YRgj5t+X6iUasg1QtEgKrxHLTBU1Hvm+4nA+xr1JYToB7y/b8efCgWiy78ECRIkSJAgQYIECRIkXOoYEfHPyMjAww8/jIqKCu9tlZWVeOyxx5Cenj4ar++igK87v9jtf8Ndg8/CHXArALvc3Z/4k4u/UyDjBKvLhS6ezRfu63a44ISCCb7N7OC5/r5Q6nvm1s2+6oEBOv4uz3ORSV91q4ln5ck8Lz5ESAsICghF1JgcBCUlID1hLDKj/Flyf+espEHf95Kb78PMq29CTEQihosGz3w/Ef9on+59YuipiT8VJQZSIUiQIEGCBAkSJEiQIEHCpYgROZo9//zzuP7665GWlsada3F2fc6cOfj4449H6zVe8HD7yOwJNpcdTdDAJXfBIOuEndr0RMxlsp44Px4R6FEI2JxOdPsSdocTTqX49bm9Hf+e5wRUfio42gQ/f6tvx38Acz+Xw+mV+pc09nT7fQn0Q/c+2etvrhjf45Q/EGZOXIzThWjsRyTe5InhIyQMQvx9pf595/slSJAgQYIECRIkSJAg4VLGiIh/ZGQkdu7cic2bNyM3N5dvGzduHBYsWIBLGcSxmyxyhHhi85yeeX4RJOEXaXizwg67y8bxfVAo4ZT7EH+fjr/N7YJR5L8yQZrvUhIJ7t3ZJp5Oz6/UKqDQKCE+Qi/iP1DH3+GAy+2GxalAcatA/DOizn62fbvJhvW5BuTVdfLPMUE6dFntp5T6k3mfVq2AxebspRCQIEGCBAkSJEiQIEGChEsdwyb+5OB/5ZVXYsWKFWzkR1i4cCFfJAio6dSguF6LIpsTVxCp7tPxd7mdomIfLTL6rYfRu9095n7c1O8hvGanEyaXD8m32eDU+U5qyJj0y5VyOO0uqHUqyNQ9v7d4ihCDzfiTuR911t89YIDSX3DkT4/sTfzdbjeKG7tZ/n+m4u/+t6cSh6va+XqwXo3UCD+0dNv45yC9ii+DIUSvQj0Rf6njL0GCBAkSJEiQIEGCBAmnP+M/e/ZsvP3220hKSsKsWbPw5JNPYv/+/cN9mIsaNR0C8azu9hjx+XTbexQAwm1NkMPu48XvK/XnAoEH7STF9z6ODHYbPQZF+Xn+kq7KZVAohBs0OiVkPm74p+r4uz23UcefYvPkchlSwv163SevvhN/XlOAN3dX4kyhulUw9bttRiKeunE8/DRKJITqcNfsJHxrXtpJ/3bpmGiMiQ3E+PigM/b6JEiQIEGCBAkSJEiQIOFCw7Dbto8++ihfLBYLS/zXrFmDO+64A11dXVi+fDmuuOIK/tc34u9Sg1bpgkBfB57xd7idPVJ/aKBV+Mj7PbF8fTv+raZuGvT3/CSDzRsF0KMCILIu9xB/tR8Rf584P59xA3Ltd7ncfH+fG+GnViI8NhwFreBOu0bZ8/eE0iYj/9vUJfgGjDZsDhdajMJjz0gJhcrzuZDPwIKsyFP+/fzMCL5IkCBBggQJEiRIkCBBgoQenLZeW6vVMsmnC6GoqIiLAP/973/xwAMPYOLEiTwSQEWBlJSeDPhLARqlq1d33TeWj+Cinz3M3wkZmlQ9nXVfqb+T0wAE8t3+/+ydBZyUVReHz8wm3a2ESIioKAYiKmKArdgiYn+2YndiFwZ2d3chBioGdhGi0t0NWzPf77kzd/bOu+/MzuwuG+x5ft987My888a976z7P+d/znUa3EF+KDp1NuPPj8GAZOVmyvo1hdKoRd14q7/H3k9n/9ygbchYyFIDplTgxF27yYyVWdKhWXy2H+Yuj4Qz1uYX9x6oSBatzjOmBmr1G+ZumFICRVEURVEURVGU2ka5lvNz6dq1q5x33nkyevRoWbRokVx22WUyZ84c+fTTT6W2keUsz7dsTb6pjXcpciz8KPdVwciSeVDoZPwjwt9+pjggEA5mSoGwfF1xhh/I4NdtkC0tOzSQJm3qSdCx+q/3NBgsDIVlff46GTPuNVm8fEHs9Tq5daV3h6bSvH5OieuaFxX+6zxBiFQZ+/dCue7dCWZM/Ji/IrJ/avR1OT5FURRFURRFUZSKoULTqitXrpTPPvvMBAEOPPBA86iNOH30TBa7yCP8C50af09T/rgafwT20llBqd8sJNk2mJDTwNTj5xvhLxKM2uFtjb/ZJaKZ/zlW/TxPXT+2+ieevFxWzpwj06b8EXu9Tk7JTL85r1A4tsQeTQAJZqQrzj+dtEDmLV8vP89YJnv1aFXi/fkrIjb/NtqVX1EURVEURVEUpXpk/K+44gpp0aKFae63du1a2WGHHWTo0KGy0047ybPPPiu1FVfm05HezfgXFoVkzrK1sT59cdLZdPUvjsXMXBSQFfOCsnxefPd+IguFkmXW7ovU6Uf24mb/eS+Z1X9t3noj+mHBpMmRF4NBCTrLCbpQ14/4B/71WxkgGQQa5kcDB/NWRv71Mj/6eivtyq8oiqIoiqIoilI9hP/YsWNl0qRJRvDT6X/ZsmUyffp0+ffff2XUqFFSWwk5tnya1bk1/vd9/q/cM3qWrF1ms/GBhBl/u3x9fGVAIBZIQPOTdM/KjewrLgHPe05zv/VF8fb8738bG/s5s2Eky+86BLzMidr8LenW+fN5G+ywvQK8LIgK/9aa8VcURVEURVEURakewr9OnTrSvHlz8/PLL78sJ554onneunVrqVu3rtRWXKs/Gf+Q4wGYMGeF6ai/ZrFbZVH8fpFkyJpgQBYHM0wDPvNu7O2IsrdxhGDU/p+VkyFhT71/wMn4s5xgfjRDn50ZeW3CH+OLj7kuL65s4J8Fq2Ti3JVx1zQvWn9vWVeQXp3/zKVri/cVFf6/zlwmUxetjr1uHQHU+CuKoiiKoiiKoijVQPizhN+MGTPMsn5ffvmlnHDCCeb1wsJCWbMmsvTbxgyuhh49ehjHg0vYyfibTvWez5n6+KBI3XCBZAbia+8R8Nd17CcnN99H1kW1daxUIJrSt08zo0K/YfM6RvzT0T8u45+dYf7NK64GkAa5mVJQmC8r5i4qPmZBJHsfyMgwNv57Pp0iIz+dIqvzirP63iw9df7pMMsR/qvWF8rf81fJA5//Kw9/+V/0tQJZEz1ey4YlGwsqiqIoiqIoiqIoVSD8zz//fNl8881lr732kuOOO0622GIL+f7772WPPfaQrbbaSjZ2zjrrLJk4caLpcZAs4+9dzi8skaXzghKWhgFXQMeHCJbns+xf8dJ/xcI/8kJGVOc3bV1Puu3cRrIQ+pZgQILZGVJvpzaSuV1L4wDIoOt/dqasWLUkbpWA2EcyM40AzysImQCA7bIPc5fH1+WvK4fwh08mzDf/rlhXEGfzb1ovW3KSlBwoiqIoiqIoiqIoldjV/9hjj5X+/fvLwoULpVevXua19u3by4gRI6R79+5SWyFrb1m+Nl8KPfX1RrgHwybq0jAYloXR1wNG0Bd/NpSfZwr8w7aRHmJ9/ToJhyLxmgxnuT7v6gA2SFCne1NZRrb+F5HcrAzJygjImtUrJSRBadK5kyz7b1rsI8HMDFm5zs3yr5fNWzaQhSvXx6z+jetmm2sqLeP/+s+zTUnDkTtsaq531rKI8G9WP9sEQ36fvdw8LywKm4aHdsUAre9XFEVRFEVRFEWp4ox/u3bt5NRTT5W33npLVq9eLW3bto2JfuD57rvvLq1alVyurbbgZvzR8t4+eKGo1Z/mfA35v+j2GeJZci8UzXxHM/yhwiLJXrfWPA9KkRHqFu/Seu5TW4+fmxWUzGBA8tetNcK/x9Y7x30mmJEpK9cXxNXcL12TL3eM/tsI9I7N60mHZnVLbe6HZf+jP+fJ6AnzZcXaArMiAC4CShN6bdrEvaTIdRaFZOHKSJ8B7eivKIqiKIqiKIpSxcJ/9OjR0qVLF7nvvvtME78BAwbIHXfcIRMmTKjgU6u5uKIW8go9Vn+Ef9Tq38BR6JnheDFdEM6Is/aHC8OSWRjZvoGslEAwWca/+Mf1UeFfJytD1q5dJuGikISCmbLTtnuZCEGhZMjvgZ4yL9RCVkat90AW/uUfZxrx36pRrpy7ZxepGy0nSGb1Z3vL4jV5sWz/Jk3qyiZN6pTYfn1BSNZEAwn0IFAURVEURVEURVGqUPj37NlTLrnkEtPQb968eXL22WfL33//LQMHDpQOHTrI6aefLu+++26taO5XgnDJ5fxgXX58JMAY+o3wF9mtTlsJSFi6rp8jmXHr9hULfz6A3T8UyJCcwpDZvoGsiBf+OAdcnICCte/Xz82UxUtmmZ+zmjST2Sv4IVsWSQtZEGgl/+S1jcv4z1m+ViZEu/uf3K+TNKqTZXoElNbV3xX+2PpnLY2UCSD62zYumdEnMGGDE5QjKIqiKIqiKIqiKNWkuV+DBg1k8ODB8vjjj8vs2bON4Ef833nnncbqv/fee5sAQW0hHIouv+d5Pa/QK/wjNf7U9DcP1JGj//pNBs+c4SP8M2OrBJDtD4RFskIRmz/iXzIyUsr4WzHfMDdLVi1bYH5ekNNFbv94skzP3ExWBBqY19aFc+Jq/BHt6/OLpE52hnRqVs+8ZjP+a5Jk/JetdTL+q/NkfrRxX5tGdaR1o5IZfxwRZP2tK0FRFEVRFEVRFEWpOCrUV73NNtuYx+WXXy433XSTKQkoKCjOIG/sGN0fLJnxp77di834S6hQskMByZCAZHlq/AujTfxMxj8clpxQoQSzsor3Qca/KFGNv5vxj8wBGXsppJY+W9ZLfanPcoPSQsIScWfgKJjrdPK3dG/dQIJRRwFBACAgkFLGf02+6RVgG/fVz8mULq0ayJLoMofL1uSbbH9xHwIV/oqiKIqiKIqiKBVJhRdUFxUVmT4AuACmTSvuGF8rsLX4npT/+gKy885mUlzjL0XFgRFvxt/ux+4upygkkpkdyfabD2TGhH+yjL9dMq9hnSwJhCIZ/QDdBUVkdaCBFAUyYq9NW1yyRGOLNg1jP9uMP139P5u0wPQBOHL7TSU7s9g8smxt8TUtXpUXW6qvdbRx36WDupnlAm/9aLIR/pGMf3EDQkVRFEVRFEVRFKUaCv9x48bJiy++KK+//rosXry4RAa6NmCFus34Ww2bFxX+MSEfJlsfXfSvqNhanxn2NAEMRccw+nJOYZEEMgMSqJMr9fcYIBKKCGqDd7zdjP/6wljGPxCKCGybwcc1QIf/yEeCstpuWzfLdORPJPxX5xXIKz/OMgKe5f3O6L+5ZET3uXRNpEM/TF28RvLpSxAISPP62dHjBEyH/5zoAEVq/NXqryiKoiiKoiiKsiFIOb06ffp0+eeff+Je++OPP+Syyy6Tjh07miX8nnjiCTnggAPk008/lX79+kntFf6Rf+tEwyr5CH+zQWxLo8uNTA5FbPFT8prIutXxcZhQVPgTIuBhMv6BgAQygpLRuFH8wb1xlmBJqz81/sFwfMafJfxiu3CaBXZr1SAWLGjTqLghn7Xiz1m+zoh++HXmcnn950jTQG/Gf21e5HgtGuRIZkb87ZYbXY5Qm/spiqIoiqIoiqJUccb/oYceMtl8OvUfdthh5rWXXnpJJk2aJNnZ2TJo0CC55ZZb5J577pEnn3zSvN+9e3epbYSjQtjq+zqZAZOsj2rfeOu+tfqHCmV1KEs+WrO5zJ1eRxr3KnYAWANA5N+A5BaEpTAjgZOiRI2/lBT+dTJjVv9gVOQHg1Gbv4Ql6HyoX5fmRtDv1rVFnHvDdvW3fQuyMoJSUBSSr/9ZbCz/sHR1cY2/xdr8XazId63+1gWgKIqiKIqiKIqiVKLwf/XVV+Wrr76SlStXSpMmTYzYZ/k+sv0HH3yw6e4P999/f+wzbdu2ldoGDfhcq3/dTJHVCNvocn6u8CfhbiRuUYHkRbv3I76NyLc9/cx+eIQiGf/CgBQlEP7RBL7zQtQtEA7HWf2DTo0/m2REVwZoHF4uhcEWcRn/h47brsRxrNXfsmXbhvLX3BWyLr9IFq3Kk7o5mSYQAPVyMmVNNOrRqmFOiX1Zkc9nKQcAtforiqIoiqIoiqJUgfAne3/11VfL0qVLzRJ9dOpfvXq1rF27tlZ17S8NI+yLCiRsstc5kmuFf3Q5P7eEP2Lej2yfGS3iD2IAKAqYWQkVhs0qAWTbM3ASBAKSWxiQvGBA8tcG5KOf1kmgpVOs4a3xj76+Kq8wFpCgo76b8afZX52mAZm0OE/ahufJrGC3mGD32vIttqu/pV2TOqZ5IE0BebRtHFmur35uprRqmCv/LWQERFo55QJeq79tPmheU+GvKIqiKIqiKIpS+cKfTP7zzz8v69evl5EjR5qM/5w5c+Tll1+W/fbbT5o3by7HHHOMFBYW29SCyHKEAAD6A0lEQVTnzZsnbdq0kdpEGKUeKpIwnfrDYWP1R9MXeIS/FeJB/iVQ4OwD4U+mP4RLgO0zAlK3iGZ5AWm5PEdWZQZk9YKgzFxZJLmo+9ahBF39A3E2fyvmg7a5XyBoHAB7dMyVsX+Pk1XSwLxmSwISUdcjzLHwr8kvMqJ/xpK1MeHepG62NKuXLf852yXK+C+P9gSgOSClA4qiKIqiKIqiKErFkZLKyszMlBNOOEFOP/10I/qhXbt2cuGFF8r3338vd999t2n8Rw+AIUOGyIcffihHHXWU1DbWF6x3rP4I/8jr+X41/nbwQ/k29y/08gsVBswG4QAfjrzeeu0qOef1idJuUTOTqber/kU1fNIaf5tNR+SbY8Yy/hnSuE621K/X0BwlV9bFGv41yI1s6wfBA1eck8nv1Kye+Xn6kjWydG2kvr9pvWxpVr/Y3k/230tONOO/fF3kM5rtVxRFURRFURRFqXgqJL3atWtXue6662TChAlywQUXyOeffy5//vmn1DaKyPSbinxb4x8QWbdM8tatM889q/XFlvOz24clGBHzgUCso7/9XLCwHilxCWbwXuR1+6/ZV8KMf2Esi19QmC/BaNSA7H7julnSoF5j8zxLCiUnKrzp/p8Mt86fTH6HZnXNz2T8l0Qb+zUxwj8SJMrODEqTuiX3mRvN+NtlA+1zRVEURVEURVEUpZKt/i5jxoyR/v37S1aWvzjs3bu3eVhnQK3CZvSjzf3qBItEls6QgpxcyZBGTsY/avU3Xf2Lrf4hBD81/m5ZAN0AMupIXk4z1t4zwt++Rw+9oM/yfYbo05Xri5fyyy/IkwzbT4CMf90sadigaWzzRrnmjGLugERQ54+ToEFupikhIFOPC4DO/H/PX2m2aVo3W9o2itT7b9KkTtzKAN6Mvz1HbeynKIqiKIqiKIpS8aSdYr388stNTT/d/B9++GGZOXOm73Y333yz1FZsBr9ORkTSF4QyzFJ/4WgW3wYAbHO/4ox/tLmfEzww0j+7oeRl1pdARlACZPyj29h/7c6WFRbJy0tXyryCwljG37X6I/yDVvhHa/wb1W8S20UTliEopcbfzfhb+z61+e2jWf+pi9ZE9lUvS7q2qi8n9+skJ+7SyXc/NsNvx0Ot/oqiKIqiKIqiKNVA+P/0008yZcoUGTx4sHzxxRfSq1cv2XLLLeXiiy82z90Gf7WNWOY+HDRitk6WK+jDJWr8rfC3Ij83VOAI/+KdhotCUsRUkfEPIvyjx3FLBwIBGb92nYxfs06+WLWmOOMfFf508M/LXxcT/mTgG9fNltycuqaEAHq2rWOW49uiTcOk11knOxIYaO106u8YrfO3Nv/urRuaY/TdvHms03+ijL9Fhb+iKIqiKIqiKEo1sPpDq1atZNiwYeYRCoXk22+/NQ39qO+fNm2aDBgwQPbdd1/T8Z8mgLWGcETcFxZlSn5BkWSGQ5IZCBm7PsvzFdf4hz0Z/wjN8vIkZ8Vy6dpgpXwf6lC8LUEDJis7aMS02U8gYvWHUDhsEvwroy8sKSyKWetXro8EYsju5+WvlqAUxdwA1tKf06iB5C1dKYO27iTH92/ra8t3aZATuW3aOMJ/UM/Wsq6gyGT5+2zWLKXu/N6afhX+iqIoiqIoiqIoFU+5u6nRZb5fv37G2v/rr7/KpEmT5IADDpDRo0dLz5495Z577pHaRCxTjyAvDEtWOBCz8Pt39afGPyK0qQxosrxIWqzPKw4S8KFQKLKyX1ZEcMe6+odE1iwLyGOjV8pP81fKmqgFYCkBAG/GPzdLCosKIjX+0fcaR4X/cSdfJYeceqG0atauVNFvRf6eW7SSXTZvHnuNLv7Y+nft0iLlJfm8Ql+b+ymKoiiKoiiKolSTjL+FTH/fvn3jXmvTpo2cdNJJ5oHtf+nSpVKbKK7NFylcXyTLV7WQ/IYhySlEwEe3ib4fDFvhXyyA88MZkkE/ANusz1j9wxHhH62ttx3/0fn5qwJSp0hk4pI1siqa8V9eVCQFobDQXjGvsCgmqvNXrZcMibgB0PfY/6Fty47mkSqbNq0rx+7UXspLTma80NfmfoqiKIqiKIqiKNVM+F900UXyyiuvSNhNc0eh6z9BgJYtW0ptwq27z1tTIDmCaA/g6I8Jfu9yfq7wzwtnSkY4FL/0X2GhhAMBycjONAYA+x61/jb7vyKvUFbbg4dFlq7Ll9bZdaQoFF1BIBiQ/MI8yZE82TRjgRzcq51pyleV2OUDLWr1VxRFURRFURRFqWbC//vvv5eOHRNninNycuTYY4+VkSNHSv369aU2EA4XZ7GDiHWTqw9IYWFYgkHvcn6mHkBCYWrlEeFhk/HPDEWW9otRRJ+ADMnMyTSBBRtn4Wer9RH+NuMPi1fnS+tGdSSq+8255OevN0fZOne6HLhNW6lqcj0ZfxX+iqIoiqIoiqIoFU+5iqofffRROeSQQ2TMmDHy999/m27//HzMMcfICy+8IJ999pnk5+fLpZdeKrUFK8pJpoeKQrEBpsY/lpC329jP8H9RnZ9nrf6uPSAcMOGDYE5WnKMAy7/N/i9bXyDrrcoPiCxanSfzFs2UyVN+kZVrlklGICAFRfmR43q66VcVmRnBONeB1vgriqIoiqIoiqJUs4z/66+/Lh999FFcQ7jOnTtL//795aCDDpL3339fdtppJ9P8r7bV+NPSD5HumunD0dp8i31GKYB9VhDOkABd/B1BHIi2B8jMyZKiqLU/lvGPLv+3psB5g4z/qjwZ9/d7sm5FkawtnG/cBoUFUeGfUT2Ev83yr8mLrDygNf6KoiiKoiiKoigVT7lSrPPmzfPtAk+n/1mzZsV+rlPHfx33jRGbgWdgQ0Ussxc29fmmSZ9fV3/znDBBQNYV1JGicFBChcHItrGhjawMkJGbLdFefTGKIpo5RmFRoaxZu0omzZwuq1YuNfstKsiPWv3zIsfNLFe8p0JxG/yp1V9RFEVRFEVRFKWaCf8GDRrI+eefLzNnzoy9NmPGDDnvvPOkYcOG5vl///0nK1askFqDm/EvCscNcLHwj/xgdT3iPL8wSwpDmVJYlCkFBRnRzv12i4CEgkHJyAzGZfwhFFmtT0ybfhwDBXkSKiqSCf/9I2tWrjD7DhUWmfNhOb/qlvHPcez9KvwVRVEURVEURVGqmfB/4okn5JNPPpFOnTpJdna2eWy22Wamtv/JJ5+UxYsXy/HHHy/HHXecVBemTp0qhx56qBx99NFxr0+fPl0233xzU6bAY8stt5Trrrsu7f272fxQCNkdec3txm+J1f8bN0DxVKxY30CKwhlGtCPYjXgPh32Ff1FhvOMi1xQFhGX5urCsX70q6jYIy7KVC6WwwAr/6pPxd+39avVXFEVRFEVRFEWpeMqlALt16yYTJkwwDf0mT55sXttiiy1kr732ipUAfPPNN1KdGD9+vAwaNEi++OKLEu4FmhUOGDDAPD/jjDNk2LBh6R8g1twvkvEvluXhmPAPO7X7kefx4n1FXj2zbVx/PyPYg1JU4Cmt8KwR2EaK5B8RWZ8vsq4wL7bvBYtmGDcAZFQrq3+x2NfmfoqiKIqiKIqiKBVPuZTW4MGDTTZ/n332kXPPPdc89t57b9+6/1RhFYDLLrtMMjMzTRbey1tvvSU77LCD7LrrrrL77rubwEM6sOIAywx6adasWUz0L1u2TJYvX26cDOli7fyMgCv8zetWpMe6+gdk1cSFkr+iIE78F9Gt35YMhKMZfyPYAyUy/jGiH28cLpIsygwKC2Xd+shnYcniuVIUtfpXL+HvWP2zNeOvKIqiKIqiKIpS0WSWN3v+9ddfV9jJIPQR5l27dpUiH4X7ww8/mCz8zz//LF26dJFnn31WBg4cKJMmTTIZe9h+++2lsNDT8U5EPvzwQ2nbNrW16ylTOOmkk8p2Ec5SfYh9a/U3S/J5Mv5skzdvtRQ1DYtkFXfzC4WCMXdAJIiC8Pe3+nupE2aNgKA5uCkviAZhli+bL/VzI8I6oxpZ/d26/txqssygoiiKoiiKoijKxkS5Mv69e/c2Nf1+vPnmm2nvb/Xq1fLcc8/JiSee6Pv+rbfeKvvvv78R/YDbAJH/9NNPx7b56aef5LfffivxSFX0h0Ih+fzzz025Qrog0m2mPhiV9+bf4i5+7j+k9iMCXYo/Z94PURYQzfhnZhjxntG8hQRLyfiz3zqhUHHvAGd6Vy1bFFvOLyMzS6pbc79gMCBZGWV3iiiKoiiKoiiKoij+lCv1Sx38jTfeaIR6u3bt4iz+DzzwgCkFSIeePXuaf2fPnu37Pk0Dr7nmmthzlgok+PDpp5/KOeecIxXBBx98IPvtt1/ScoW8vDzzsKxcuTJyPhmBaKY+0pYPUV9s9bcZ+EhPf5PHLyqKNP7zRAZMxt+WDAQCktm6tQSCdSUQDMSW82N/xbBjXgtJ3ejigEAvf8va5cukoFH9yLKAmZkmwFEdyGbMJGxq/SNj5GlaUENhfLmW6jLOij86TzUDnaeag85VzUDnqWag81Rz0LmqGYQ2wnlK51rKJfzJvkNZut+ny5IlS4zAbtWqVdzrrVu3lh9//DEtYf/ee+/JP//8I/fdd5/pS+BC+cBTTz2VdB+33HKLXH/99SXfCEREdyD6b1GoSMR0549oc57mFeSbCTI9APLzJRwKCc+M4A0HzGqAhUXFjQCJABQWFEleMF9WrV4p+flFEg5nmlIIc/NKQAoLiyQ/lG+OVzccMo0F+Ry9AoSMemGRrF+xTNaubmKOl59fKAsXLpTqQP7aNZKXly91g6Fqc04VAXPDMpbMKwEqpXqi81Qz0HmqOehc1Qx0nmoGOk81B52rmkFoI5ynVatWVY7w32abbWTkyJElXmcwhw8fLhXJ2rVrzb/exnw8t++lGqywAQs/XnvttVL3cfnll8sFF1wQe05AYtNNNzW19Ub4m67+AZnRYbX8tqqxhFZEK/3DAcnJyZbAOrZj8IMSCNqigID9XyQAYEsGAgEJBjMkMzNLmjVrIjIvQzAjZGRkSDBUJIEikaysTMnOyJZ1sk7qmqCDsQpIOJgpOXXqSt7q1RIsCktR/npzvPoNGkjLli2lOtBiUUhyclZLk4Z1qs05VQQmuBMISIsWLTaaXywbIzpPNQOdp5qDzlXNQOepZqDzVHPQuaoZhDbCecrNza0c4X/VVVeZzvqJ6vErkrp165p/XYu9fW7fqywINvitDBDr5BeI1Pb/2ryprF6fJfnBDNN0L9LszxrxJSLc46z+0eZ+Ybe5X+Rf4gCZWRlSVBSt/XdKERrUCUr9QKYUhsNST8Kx/gLsNys7W/IzghIMhY3dn09lZedUm5u9TnamGRP+rS7nVFEwR1zTxnZdGxs6TzUDnaeag85VzUDnqWag81Rz0LmqGQQ2snlK5zrKdcWHHXaY+XfatGny7bffxpbCA7rtVyQst9eoUSNZsGBB3Ovz589P2GCwKohk6hHfntdN077YRuafQGHkhYjxv7ghYIiMf7SWn5X3aPbHlkG6+vuUceRkBuSSAV3lhHoByTbhg+h+JCiZmdkSCGaY1wrXrDOvZ2WyVfWgWb1IAKVZvepzToqiKIqiKIqiKBsT5RL+rHU/aNAg6dy5swwdOtS8duWVV8qee+4pixcvlopmwIABZik/t6Tgl19+KVMH/g2GbcpnDfyxvn3Y9+M2MbX3keeR97Ki7xTwPCrwszIjTQFDYZbzK+7qn+14NQgOtG2cKy3CkWUMgxmRaQ1JhmRl5ZjnJhwRPV5mVvUR2T3bNZTz9+oqx+7UvqpPRVEURVEURVEUZaOkXML//PPPl06dOpnmena5vAcffFBOP/30Ek3zKoLLLrvMNOf7999/zfMXXnjB1LoPGzZMqgsRO7//wMYy/lHo6m9eN9GBgGSZvL7IesmQgCP82anJ+GcEY8I/NzsQ1xmfCENRUUT4Z2VmxJwE2dk5khENBFiqU8Yfu81WmzSSBrnVZ4lBRVEURVEURVGUjYly1fhj8f/yyy/Nz1lZxcLtiCOOkIcffjjt/eXn58s+++xjnARw9NFHm6Z5tuHejjvuKE8//bR5vU6dOqamYfTo0dKgQQOpCkaNGmUedNgvIfzprA+2Rj+i3yM/R7cNFBTGPc+ONghYKxHhDmh281mzDB/iPlJKUMcR/pkZAeMsCFnhn5UlgcKghDOyJTe7rmR6hH+mM1eKoiiKoiiKoijKxk25hP+6dZGacXDXX+dnby1+KmRnZ8vYsWOTbnPooYeaR3XgrLPOMg+6+tN/wBDtxh9r1xez+vtk/D1W/0yT5g/KuujqAPRqyDTCPyyhMMK/OOPvCv8sZjEQkFD0zcyMTGnfaQsZ0LOvfPL3OuOKcMnO8mlMqCiKoiiKoiiKomyUlMvq37FjR1PTv3Tp0liX+SlTpsgJJ5wgW2+9tdRGbPwjmdU/lvEvLIxr7pcddQkQCODHQIZpCRjN+Ifjrf45jvA3Vn9xhH+G5GTlSv16zSLv0wTAgYZ/iqIoiqIoiqIoSu2gXML//vvvN1Z/1kL86quvjMV8iy22kKlTp8q9994rtRJPcz+j4BNY/Yub+0WwNf68YDL+GSJoepPxN139JUHGP1LjH462/LdCv8DzvHh7Ff6KoiiKoiiKoii1hXJZ/Vu1aiXjxo2TL774QiZMmGBe69mzp/Tv319qK5Hl/IojKgH3dW+Nf6g4w8+LkRr/6HuI/2Dk30hX/2JnAORmuRn/yIHCoUhUICszUsNfGN2/238BsrNzK/aiFUVRFEVR0oTERmFhYVyvJKWYUCgkBQUFsn79+o1mzfGNFZ2rmkGoBs4TJduZmZkxd32VCX/LHnvsYR5KcVY/4G3uZ5LvxcLevBV9iqDnx8xoxj/S4o+ZLnYOhCQsBc7n3a7+WP3z8tfFjp3jyfhne5bvy6pGy/kpiqIoilL7oKHzvHnzZO3atVV9KtUW4/gMhWTVqlUV8ke/suHQuaoZhGvoPNWtW1fatGlj+uFVmvCfO3eu3H777XLPPfekNFhEcYcPHy433HCDNGnSRDY2/Lr6R7R5uGQNRbjkj8Gwk/E3Vn93I5r7hSUYFmHvvGN7AzL0pq4/SmZmQNbmr4k9txn/RMI/O1Ob+ymKoiiKUjXwhzcrQ5HJYjlo/pitSX+EV7YjoqKyfcqGQ+eqZhCuYfPE+RIkXbRokfmd2aVLl3I5FdIS/vxy7tatm+y0005G0A8YMMDY/f0CBJ9++qmMHDlSLrrooo1S9Cfq6l/c3C/yg72nnEUPiq3+4bAEMtjSlgeEJSOa7+eVABl/GxwIiBRErfuUALiN+q3V3xKMHrSgKLJ9nex4oZ+lXf0VRVEURaki+EMW8c+SzWSylI1DpNRmdK5qBuEaOE8sYU/Z9owZM8zvztzc3Mqz+p9xxhmy1VZbycUXXyzHHXecORmEPQNIzcSyZcskLy9P+vbtK48++qhsv/32Upuglt+Idp/Xi59El/wLiQSygxJCyRMEYEICIQmHWc5PJJgRloA1EwQDsQw+m2c6Gf9s09yvePcZ5kYOS2F0+xxPTb/3uaIoiqIoSmVTU2psFUVRNobflWWq8e/Xr5989913MmfOHPn+++9lwYIFsmLFCmncuLG0bt1adt55Z/NvrcST8Y919Q/5ZPxNVr844089fwaRKLucH839Cu0OA5JXGBX+gbBkOvNPEMCNWtl7I9bcD+s/L4ai1n+1+iuKoiiKoiiKUsmsWbPGZN2tW7o2UFBQIMuXLzcr4VUl5QoftGvXTg477DA588wz5fLLLzdugEMPPbT2in5r6XcS8MVd/UtuGyTjnxGMdesPRjP+5vNhMv7Fnf95LT7j77H6R44S2U80CJAfDRRkBgOSkVPc2V8z/oqiKIqiKOnz6quvyj777CN77rmn7LDDDnLEEUfI9OnTY+/fcccd0qtXL5OQ+d///pdwPzhjseyyEtbEiRNL2JEpg0j0eYQTztsdd9zRfL5Pnz6y9957m2W2XR555BFTnss2u+22m9mOz/F5P1ipi21tIm/w4MGx90jwDR061Bxzu+22k+uvv96cp/d42267rey+++7G8TtixIi4ba677jozNhzDPtxjwMKFC2XYsGGyyy67mH0deeSR5jXL7Nmz5YILLpBdd93VHIdz4bguY8eOlY4dO8Ydh8fMmTN9r/uBBx4w88XnXBgH7z422WQTOf7446U0fvzxR+nRo4eccMIJvu9//vnnZk64jq233lruuuuuhPt6//33zfk9/fTTca9j+2YemFeSriRmf/rpp9j7NM68++67zXFows5YUYLtN//cO/Z8OnfubEq605nbVJk8ebIceOCBRghbKPvhPHGRe+fAvdbLLrvMOMzd75sLpdcnn3yyr4Wfz7Ru3dqMw1577WX+ZT6bN28u11xzTdJz5tp79+5t7sn999/fJL4t9LHr3r27OSb7++GHH8zrF154oQlscA/ceuut5rUhQ4bIt99+K1VJhXT1VxxiCfr4Gn/f5n5ofBLxNuMfDktmIFxc809zP/uhYCAm5L1W/yys/ma/7CkjavUn428dAgj/HClal2eeZ2ep8FcURVEURUkXylzfe+89GThwoBEsCLtBgwbJ77//Ljk5OUZYExAgOPDss88ageTN8uGaRaDRO8tP6Hz11VdmxYM33njD9MtC7LicffbZ5v2vv/7aHBMBdvPNN8u9994r55xzjtnmmWeeMaLwl19+iSXkWH6b8zrvvPOkXr16JY6LcOR8EDAIZ1doIvrp64WwQVASAGjQoIER4UBvLxKBXBcCkUABIp9yYPphWbieRMt+M56Iwi222MIEIfj7laQiSUauFTgnxnrMmDEmcPLXX38ZIco4uCKbnwk0lAZ9yQjW+MH5e+eHYx111FFJ93nbbbeZ80tUQ/7rr7+a++eTTz4xApTGbQhLhOIpp5wSty0i/aqrrvLdD0lX9oGYZC5efvllM7+I65YtW5q551x+/vlnE7Ag44x4Xbx4cdzc3nTTTTJ+/HgzhzTaJCjBXNLMPZ25LQ1KwRm7J554wghuoET88MMPN8EGltjzA9F+zDHHSNeuXRMu/cmYMnbsJxGDBg2Sp556Klbjz74IsCWbzzfffNN8j/744w9zzgj9Aw44wIwp9nuCBu3bt5cTTzwx7l7h+0Mw7sUXX4x14n/yySfNvU9QqKr632lxVQVja/ljAxtr7lfyyx+JDQQkHP3FEC4MxTr9Rxr/Fe8nHCzO+OPaz3Bmznb4jwUUoocqjDb3ywgGJDMnau/PCGpNnaIoiqIoShk4+OCDjWgD/p4699xz5e+//zYiy2W//fYz4oJsshcEFZnsRCAWLr30Ulm6dKmMHj26xPvvvPOOHHTQQUbsAgITAd6hQ4e4bRDyrgsXkYmw9gYSSgPRQ7CDbDHQkBEhSCbTCjHEeLNmzYwwBEQsARCEaaoQVOBBYMKKZn4mCGCFP8ESgiu2wVnPnj1NBvell16SskCg5IorrvB9D5HoQpCBQAECMhkELhD+iWzdZJDJBNul0Nnu2GOPlVtuuaXEtghLgh9+QZKHH35YTjrpJCP64eijjzb3hHVA8Dr3J6LfOhgQqLhW7LwRBCA4deedd8YEKs3b6dNmqYi5tePJtbr93whsEJxINAewevVqee6558y5JwsqfPDBB+Z7l8ilftNNN8W99vHHHxvhv+WWWybcL2ODA8UGKrgfuQ84ViK4HgIpBGLc5feYB4R/MnfHhkYVYDlgKT++uNz8Fut6CXiFv1+Nf9TGHyaFD/khyTBfxIBkYPUPhiUbxW82Dkh+guZ+1upvLTcIfbM7Gyhg+b86kV+QARX9iqIoiqIoZeK1116Le24FKMLDBZGF7fjBBx+UdevWxV6fOnWqEV2bb7657/6xQCNyyVYjVhAPXhATZGHd7Cc26c8++yxuG0Q0GVVvBjPdklz2W79+fbOyl4W/fclUExSAfffd1zgBbKACWz3OBb/VvxJhrfjuZ1i7HNgXIHS9wps58I5/KhDMoFu6DeR46dSpU9xzXBTY/FmGMhkEZZJ1jOc6vePCdXJvuDZystjM4WmnnVZiHwh2xtu7H+bWjtU222wjV155ZYmxIuNN4AA+/PBDI+TJprtg+7dUxNwCDhZKZFwQw6U1gie4k+j7YqHcIdl9zTy3a9euxHxyPyWCwBtz4J6fHSu+f35ce+218s8//xi3j1+AjaDK66+/LlWFqsBygL2FuiwsG15iy/lF//Urg4lWA0St/awGEJZMiXwR66/KlJ1WB2TT1ZEIE/q/2OoflqxMkeycsGRkhyUny2b8ozX+UeFf7BAISE6dyHI59BRQFEVRFEVRyg+2fbLQWKi9nH/++UZ4IzDcbD+vJwJxhThCqOAKoL7bW5ONEHzrrbdMbTj786tdJ+hAPTxindporyMhHRCkfgITWFscSIR99NFHcuqpp5qaZ4Qa23ht6tbuzHiRSf3vv//i7NHgXo8VwlyLHyS9yK56HRTMC4Ie1wNCHPu6C2OKKLZ29tIgyPLCCy8krNlPB67TO2fe60SYozNIMvoFEcicU67h7oexoAQk0VjZcTnkkEPM/QVkr7l/H3/8ceNAoPcEWW3s/JZU57Y0OPZmm20m1YGlS5caVwYuiUTYe9vv3rfvueBEWbJkiTz22GMJ3dWUIuAQ4vhVQblUIF+ARFB/VNswwTNPxr+4xr9YnIe9wj+6Ef+fEX0/GApIzxUdJTcUsYgEPDX+NPDrvV2RtOtZFBP6MeEf3V9R1FFAzX9ObqSWK1BKlFJRFEVRFKWyQbSsLyiq9EdZGpRZyDJTH46d3wopr8CjPh1xiZAjCIDQooFaMps/tm+grplM69tvvx23DXXG2KbJKGLxt/XE7NvCc2qOaejGOVJDjqXZu69U4BxsWYHFPuc9ILBAGQQ2c2rMqcum8WHDhg1jn6EWGrs42VJcDWTUOS8renERkLmlXwFjS2YaezZjm6i2m3FAmLlZcbKyjAmZVcoE0CS4BAiiWK6++mo5/fTTY46C0iAgwz4RvuUF6z4BD+baBlass8NeJ/cUQQuCO34QDOC6sOTb8XvooYeMoEw0VswL9ny3p4G9J7/55hszL7g7pkyZYprY2e9GKnNbGgRaeDRt2lSqAy+//LIpC8CZkwh7b/vd+/Y9F3ps4MRI9jvFHo8V8Wpccz9+8fCLhQYS3oAAN7NfXdPGzKKFdaKK353wxBn/YFSYh6Lxl2AgaJr7mSBBQCQ7EJBgNIQQCgSkIFqzbysDcJBkxM1gONbFH+z2BAJy60aEf1CFv6IoiqIo1QyWLD7rhbJnpcvKqCHbSW7x8khpQdd9GoOxolUi6O5NZ/13331XJk2alLTTP8Lozz//NB3aAYsx2VXq12kq6ELmmQcijb+777vvPmPPxmZMPTYgHKljxpKPxZ8ABOeKuMNynCrU9Hut9PY571lNgIjHFg5kkQl20LjN2qK9tmrEN3XqlEMg8BGzWM/JJOMKoHyBum7s7n7N0CgzoJ6a/bu2aoILbqd/Gt4hXKmhpzEbQhaXAHXtqUIzPG+NOT0OGF+bBaYOPRW22morE5ThfNBKBB8o7cClwXWSsSdrzDkmgzFjrrkHGTs67hMsQpx7WbVqlQkocY5uLwjKFigvoZcAPzPmzAuODBrYcQ+mMrelYR0E6faX2FA888wzJWr+vdh72+/e92uOyT7p3I8bw7vChsUGCL0lOJVFuX3fWCTozgjcqESIsIKUVv+yMbJ+nTOcNtUfa+5n/3UjAMWi3jzLyIx15Mf437RpnVijvrjl/BKUDXkz/oWO1b9u3Ujjj6C7DqCiKIqiKIqSNtjnEQY33nhj0u3ofo8AR6Ai/hFLiaAhHwLNLh2H9RpRRpaWTKJl/vz5sZ+pN6brONsgJmwTPLYnYw4IEQIOCDmSdZxHOmDP9mYo7TlY6zYBCGvVt5DRJ8jg2sZd0Ap8xrX7I3yxt2MLx55PwINjIZZdyJLzHiUPNGgrDSzW9jg0ZqPvAsEPxtnavSnB4Pm///4b91nGFYHr7f7OPYCA55Fuc0GENQ4EOvJT+072nPp7Aj12RQAy0vZesIEGfsbFYMcPe7ltfkgjOqzm3rGiWz72frb19kewjf/c+ncbGLB29rLMbaJMt7uMX1UxceJEcz97+w14sfe2373vV7JA0IUAHMGcRL8X7PVXlfOhXGEXIhtEgmhkgDWHSCbPiVZy09Y6ohl8H91vhD+vFRv9nYx/tAyA/7c1/tC2UyP5ZX70CxVwa/z9D1+yxr/Y6l+3TkT4q9VfURRFUZTqRk5m0GTfq+K46YIAmzVrVizDi6AGsqKJsv5k2skwJ8t4Ih4R8LbRGskiRArNzejETid9QLBOmDAhrvbbNt6jCR/QgR8rO3+fW8hSIvDsNqmCQKKkAAFoz42l3QgiWCs6+6W+3IXniFNrlaZ2HDu0C13y3UZydjlBC83VsK673dr5zODBg02/AOrPAcu7tfuzZCAZfrc5H3Z4Sg2AjDYPC9Z1tk201CC2cJwC6Vjbk8GyehyTJfEsNMvjnMkI4yzwuguYawINbo8BHA8IdysiEZXff/+9PP/887FtCP7Q/4AHwtQ2qGQlBIIsuATsXFnBb4WuHa9U5rY0CJKxykBV1ba7PPfcc6ZJY2mrnDE+uEf4flOyAytXrjTfAwJ5flB+QdANBwXfD6/Dx15/uo0Rq0XGH6FPgwLqXrCV8KXhRiWqZu0gtYpA6a+5Cf9AKFqbH+sLEDY1/oARpFWHBjGrf0FhSPJiXf3DpQh/iW/uFxDp3qW3BHKypE2nLuW6REVRFEVRlIoGYYPlvrIfybqv+4E1HWHFMnBYxhHAdIcn6ZUImsshTHHEJgJBwMPbXZ3n1L7benCgvvj222+PuUj5F9GKcHOFPtu4KwqQtebvdURzOiDuWQbQLkPGPqknZ8lBK56w8ZP0++2332LXg12dz9mVD3AauG4DGspRhuCWACCcbFd6MtWsVU+C0YpbMtpY94cOHWqeM/483HXpOQdcA3Z8EMhk1W3gJF38bP7lAUcBtnu7bj33DqUYpblHvHBPuWXVZPy5V2xWHzs+DRQJ9BCUsmNFx3mbqaffBO4DG5BhzPgZp4pdtSyVueX90gIjHMfrpqhsioqKTCDHr0kj9zU9HNwyEcpOSHRz3wEZfQJxiZYNBMo2uNd4cN+5cP302vArXan2GX8imAwSXTP5IhPZIApKVBMLDus+bszwS4WHXxONWMbfdvCLEp/xj/wbIoUfjs/4I/yzczNjVv/16wqN+DefKy3j72nuhwNgk1ad5Iobni81uqUoiqIoiqKUBBs+ndYRVLYO37vmO2KMmnXswAhsBB1/e7miH0FALTvbkGFGaJCRRVxQd+wuwUYdOBluHmyLIwBhQdYWmzvCi0AAop9EnM3mI9YQZ2TTeS0/P9+4DWjuR8O/0vCW7CIWEeX0K2BfZECHDx8ee59sMj0KqFMnu0tmlD5gbh01PxOguPvuu80+yBYTjHAb5qEpENlkmRlnbPhuw3B0Bm4HHA0ubt06TgeOQYkFY4/A5u91P7GHvZ8suf2Zc3GXUCRQQnDCzwmQCO4BAjUIZT7PZ7HZUw4N6CUeZPyp72ccCB516VIyOef2EeBnghC4IoC5oBEipQs4BRD37lJxdOK3ASNvKYJbg849yn3NfWHLDdB1VjOkMrdcZ2n3FfcMQTPvagB8T7i/7RxQFkAZgb0HuVcI9uCUAO4JyjvcpTVZ3YAsvi1BYcwpefDW2o8ZM8YkqP2s+gQ9+C65Nf2c28KFC831MjYIdubKjg39D+wYc0yCbQRNOC4BEmr++ZnvDw4K7vdk5T4bmkC4HO1MaSjBLyvvBTD5RJuwsdQG+ALQQbTPHY9JQb1GUm/xOtkpUCS/7pArhStFFk6vExPgvZq0kN+WL5ZGbdfLmb/8KJ3z58ot9faU1YUNpH/hMlmelSe/F7WRFuEseeSKgfLpz3PkiW+my449WkirVvXk2d8mSmbbQrloh1YybukCmbxW5Mz27WSHRh3l15telzqB+jKvz/by4YripV+279hUzujfuQpHqPbBf6z4RcEvdg22VF90nmoGOk81B52rmkFVzxNCjPphnKI2Y6iUhD/RsWoj2NN1JqQDFnHuB1vnTdkuQgtRqVSvuaqO0AMBsYsLhBKCZPcZywUS/PFb/nJjn6epU6caRzyuC8oeKup3ptWhuDhKc12U67c9dQt+UQuiZUS2ajOxjL9nhGNxlnDYNPAzPwaCEsjKkmBWpjSQaNMHCZt9tO3cWFp2aCB1GmWnXeNv8TxVFEVRFEVRlFj9u21wh+uAUl637l5RSrt/CBIlE/2AK4FeFWTJCTTVJvLz843TBzdJuqK/2lj9k0UCa1u0qwQJO+/bt4uNFradH034csKFcnD+UmkVbC6BYMCIeMYS135+rMY/+b7tygCWDFX+iqIoiqIoig9kCxFl1sZPIz9v93dFSQQ17zxSgYw1Vnnus9pEMBg0QY+KahBZJcKfeoVE0GyirE00NiZKxj8i8tx9ORR9htCXIpE6EjJiHcFv6/VDobDkR90CqTb3Kz4HFf6KoiiKoihKSahbZuk8RakMsrOzzaM2kZmZWeWi35xHea3+rVu3jj2nyR3WDaIa7uu1DvR3dO3U4jx89JkV705rhTDL+QW8Aj1gMvs2W18YChd3/0+o44uX73PJUN2vKIqiKIqiKIpSaymX8N9jjz1MV1IXGibQsbEcPQNrPOHCkITyaa5X36erf0mrP9X+YLP7kQ0iGf8Mp0N/YSi51T8Uy/jHb6BWf0VRFEVRFEVRlNpLuZr7eUW/tTKwXAZ1DLWbcLSBn/fVsE+Nf9TqH5fwD0Rr/KOfC4djzf0SN+CNZvzV6q8oiqIoiqIoiqJE2SBruPzzzz/y33//SW0mYP/Po7mtE8IO/BJpI0WhYIlu/Ih19LrN1heFw1JQZGv8pZQaf834K4qiKIqiKIqiKBVg9d9ss81KvLZq1SqznuONN94otQ6nvCE7nB/R/cFQ3PuhoqLinyUoC8PtjNU/JzcgdbIyZPX6RFZ/t6t/8uZ+3oy/6n5FURRFURRFUZTaS7mEf05Ojlx22WWx5whV1ibcZpttfIMCGxujRo0yD5oaeglKUcSSb2v8+Yes/fz5Ig3rm6BAWIJG9PNWdk5Agq49wFj9i10Apqt/1OpfesY/XunH9Q5QFEVRFEVRFEVRahXlEv6I/mHDhklt5ayzzjKPlStXmjVQ/fBK7lB03UokfyweEPCx5Ee7/FvRXhAKGfGfivD3WvvV6q8oiqIoiqIoSnVmzpw50q5dO6lNzKnEay5XjX8y0X/99ddLbSdW558AI/qd58GMDOfD0Rr/qPBfX1DsKig14+/ZQDP+iqIoiqIo5Yfm1fvss4/sueeessMOO8gRRxwh06dPj71/xx13SK9evUzyhmWvE9G3b1/Jzc2V/v37y8SJE0v0g9p0000Tfn7NmjVy8cUXy4477mg+36dPH9l7773l/vvvj9vukUcekZ122slss9tuu5nt+Byf92PcuHFm28aNG5tluQcPHhx7b8WKFTJ06FBzzO222878ne9dwYux2XnnnaVfv35mDFjly8tbb71lxm3XXXeV3XffXSZMmBD3/owZM+Swww4z23DOXNeff/4Ze3/JkiVy4YUXmvFjdbGtt97anNeiRYtKXPu2225rjrH99tvLiBEjSpxvaefCXHIOe+21l9kH//70009SVp5++mnp3r27GWP3kR9NCrrn3rt3b9lll11k//33N8LQkpeXJ1dffbUZY+5BrvGQQw6Rf//9N7bN5MmT5dRTTzXnzrVxD3CtfvPNPcG18+/XX38d9/7SpUvlxBNPNPPNeXLMr776Km6bP/74QwYOHGg+z/lyzzCH6YJ7mmN59//jjz9Kjx49TOP4RIwePVo22WQTue6660q8x+ePPvro2PnvtttuJY6Ryr3gR7LPPProo7HfA4zNu+++G7unWrVqZZzx559/vnlt+PDh8vbbb0u1zPjfcMMNKW33zDPPyLXXXiu1GbL63mp8m913M/6WgFucHwjGdfXPKyjuFZBYxyeo8deMv6IoiqIoSrk57rjj5L333jNiJxQKGUEyaNAg+f33300JLMIaMUBw4NlnnzWCs0WLFnH7+O6774yAbNu2rYwdO7bEMRAm8+bNkzfeeENGjhxpVsxyOfvss837CDWOiaC9+eab5d5775Vzzjkn9nc44vyXX34xIh6++OILc17nnXee1KtXr8RxEUacDyKpY8eORqhaENcIlh9++EHWrl1rAgCU915wwQXmfcaEhCDH22KLLUyTb4RPy5YtzTGBz7LNzz//LF26dDHjwzhOmjTJ7MuOL8cZP368aVbNNe23335G2HKtNBD/9NNP5ZtvvpH69esbIUwA4IwzzpDXX3/d7IP3zzzzTDPGCGOCFpxLkyZNjFM31XO55ZZbzFx169bNPCfgwLnMnz+/RCNtIAD0/vvvGyGXzC2dTMS++eabZt4Q1M2bNze664ADDjDnyTHpo/bEE0/Ir7/+asaJexBhy8MGJe68804TTGC+MzIyZMyYMeYeZVwYK0CcE1TgfBGuX375pTkOx+3QoYPZhvuEcWcMGPt33nnHbDNlyhRzT3Hf8fzwww+Xu+++23yG+4HnCO50uO2228x8HnPMMXGvce7JVifjfue7UFBQ4Pv+5ZdfbgIfL7/8ckyQ2/EkoJDqveCltM+cdtpp0rVrVzPeHJvvE3Tu3Fm23HJLI/QbNmxoXnvyySfNfUoQa0OXyqed8b/nnnvMjVTaY/ny5VIbicvg8yzuXnUCAdGoo7vgX4aj2LnHTXM/b71+MLHwXy/rzL+ZdbPiP6O6X1EURVEUpdwcfPDB5g98QIide+658vfffxvB64JARLA/8MADvn9LH3nkkQmP8eKLL8qll15qMq5kM70gwA466CAjxoC/FxFcVrDZbRDyVvQDIuTAAw8sEUgoDcQgwv6iiy4yz+vWrWuE9a233hrrc0XPKwQ+ot8KHIQl4s3C9ryGULIiv7CwMC7A8Ntvv8mAAQNiwpqM/+zZs2OuCPb/yiuvGJEIjAEuAzfjTRCmWbNmRkwB5bgEYz755JO0zuWjjz6KiX4gIIKzgBJfPxDTBCrKA4EiBCWi34rvv/76Sz744APzvGnTpuZnRD8wTgh39/oRmQQpEP12DBk3K36B80T48lkgY8213nfffXFzwfv2PmM/NHEnEADcn7NmzTJOCIt1RRCgSBUCMzSFv+SSS+Je55wR/t7AmQv3CgGfOnXq+L7PNdnMOpxyyinm/ncz7KncC17K8hm+17g5+C5Z0Q/cy8z5NddcIxuatIU/X65UhD+2htpORPgXhwLMj1ERbrW40/PfI/wjW1irf2yfTjWAlynhifJj6CvJblU3/jNq9VcURVEURSk3r732Wtxz7PpA5tkFu/zJJ58sDz74oKxbF0nMwNSpU41Y3nzzzX33T+aSTD62Zep+XbFmyc7ONtlbt7k0wuezzz6L24aspFeAkVF2gwGpwH4RJ64IRkgjggkKwMyZM2Ni1NKmTRuTmbfnyX6wzFsQrVjauRYLNn/OEVcBvPDCC2Y7K4QR8djlLQRdsFzjgrDsu+++5vM2aMK54aJwzy+VcyFTbEHkPvzww3L88cebud0QcAwy+e55cb1kju15Ma82oAGUAeDuIEBgueqqq0yjde996t6j3uu3c+qdiw8//NCcF9jSDTuOBFcIhnCPInp58DNuEj9HSSJwHbRv396Ut7gQ3EqW7YdDDz006fsEpNzAQSAQMIGMZGPhdy94SfczuDReeuklE5DzGxsCGAQEvGUfVS78uQEqcruNGdPUX/wz/rYMIFGNfyAaEvDa9L02fpeQFMlKWVFC6KvwVxRFURSlWoMTsmB95T88dd/pQvYTyz71zV7INCK8EWZutt/NQHpBrFK7nZWVZVwBiCJvTT42YsQu1mD2h7D1QtCBTDliHXu515GQDgQrvKLeBg+mTZsWyzJ7zwNRisBavHixqc0nU+63H7sPK5BwLhD04N+77rrLWO69ohCL9VZbbWXqz8luk8m1kMkmW0+dO0ECgiwcB0EMqZ4LELQgmckc8/7jjz8u5YH5ROThxmB+EfoWe+xUzoux5dpxVuBASdZbjWul/tx1mSSaU/c4BJ9wuHTq1MlktnF5YK2nv4KF2nXucWrseZBJJ0BCgCKd71BlrQb3zz//mPOlHCHde8GS7mdw/eDSoHTHBgq9MI/sE3dHtarxJ6JIBI9fYtYeovhT0upPjX/khYgRgKX8Igv7me0zHVUf/Q9RiYx/CqEa7eqvKIqiKEqNojBP5LUqWCnqiGdEsvz/GC8NRC3NuvjDHqHuBTFM1hRxjljH0swf9jThc7PzXjuwrdOn3pnPIqawEluo+0Yo8R4Wf4QvwQKe9+zZM2bLpl4f6zjniOUeQXzTTTeZZnDpQPbc2r0t9rnNzFPyQBkBmXUaqCHMbcYd8WwzmX77sfsA6t+pocdCTmYUG7f3M0B2laZ/1FRTVkGJ8ZVXXmneI8iBYMUtQPZ/7ty58tRTT8Xs1fZ4pZ0LYJf//vvvjVhkPqgP//jjj0vNRPuBUERAI6g5FueEqwBnBj0I0jkvAiNcJwEAMuMLFy6Uxx57zPe41PxThsE4lTan7nGwnhOoQCzTq+Hzzz+Pa2TJvHJsgjLMF6APCRSkw4IFC0wJQ2UwYsQIE8Cw35N0xtyS7mcon8AxTz+GRFgXCWNRrTL+RL2IEiH66b540kknxR5KPEbWBxK/B9b9jzZ3f4kEwv4Z/2Cw9Mh0ic+o7lcURVEURalQ6Lp/1FFHJbUbI8pphkZmlExosk7/ZPYRs4gEwEpMthqLsBcEMrXsWN3p8k5dNYKbbKSFrDIiFSHNsRFqnCsCLh2o6feWMtjnvAc0jyOjSa027gdqyDkv/rZF1Njt/PZj36OmHDs5wpjSAj6LsDz22GNNB3o/qAO/4oorTDDEljXwM4EBRD+QrUd02SxvKufihcaABGzoE+C6mm1nfvonMNeMtduxn1pwC+eDe8EKRnQUlnwCM2U9LwIAHAMngl8nemrkufdoPpfKnNrjUMbBuVJ3j+gHnAo0kbSWf6zpBJfYjsAXD9wHBKFo7pgqBMTS7TtRFp566ikTKHH7TpRlzNP9DAEZgjs0YHTLc1xs4DCd3ghlIe1RdsWp7UqJZam8zSw2CjyaPGiy9l6zfzyhROLcZvzTsPrHtvHsS7v6K4qiKIpSrcnMiWTfq+K4ZQD7PH/kI3STQfd7BLgVG94l01yo/6V5GoLRrflHbGKXt3XuiEtrtaf+G5s3mWiOxf7J6LM9ghtBRY0zAQdcAzgFEIKIuFThM95MJOdg37Mg0nm4mWbeZ5x4UK/utx+7DwIkYDugAyKZayWowDhSR049tdtVHzs/jgIa3FGnzn68pRdkoclgIzKpTS/tXAgU8HAFKUEYntNokMZuYFdloMM9Lg5KDvxWakgEFm8rku2x/c4LBwdY4Wgb99nrB86LjvEWOuuzygRlD1xvKnNqzwHLOmPtzgXwnLngXmKcGQ93DXqy/5wjTgG370AyuE8TdeWvKDifxx9/3IyF685J5V7wku5naJxI7wPcP3wP/cpF7PVvaOdD2hl/74XwYMKIMirJm/v5L+cXtf57lumLZfxLiPjSj1tiJQCt8VcURVEUpTrD3ypY7iv7UYa/kciwYm22HfuxtfNIBJlg7OJknJNlNsnsI/IRjjxolk1tMALs1VdfjW2HaPeuSW8b79lu93Tg9645j3UekWa3SRUyuKtXr44Jc2DfZILpMwDY6d33Adu/zbLb83bHiWvArm67wlsByfJsFkQkNnabScWqTfM/F7s9mX27H3cfdhvEss22l3YunLu3FwNZcObCHiddWFrOawUnA01jO+sqoHGfe17UfTOu9ryee+45U9KR7PqB7D99HugFQYm2XcrOnVPvPcucJpsL+9zOBdswHgSZvGOUKFvuB4Ed20BwQ8B3ieDYe++9Z5baI6vuNuks7V7wI93PUHpC5p8eFtwHXuz1e/sGVCvhb/Grc7GRsI0ZOkVSL0V00Q/EfcmRKRb6xYb/klZ/6wUo0agvhRnzfsbbJ0BRFEVRFEVJHyzzWJ2pw+cPfcQSggKLfiLIgiO6aDaXCP7w50EG34Xn/J1J7b8F8Xj77bfHxD//jhw50jTDc1fVYht3RQE6jk+ePFkGDx6c1jUj7qnfp9EesM+HHnrILDloM+/ffvutnHXWWbE6Zo5Fx38yzq5LgkCGXXqOGnzEOEuZAY4FMtYcx+7HrorgnjOv2YaH1PZjlaeG3YpVyo+xuFM6YMcW0cU12OZqpZ0LEGyxNe2cD6ULiFRbQpAuNLFD+Fk4R8btjDPOiL1GA0Lq5G3JBvXh1KO79fms+27F9vr1643rhG2sHqEkGx1G8If9cI/ycO8hsvEEB1h1AXCKcG/Y/hKMJWNKeQPHAO5zXAW2SSDHQKjaUgUbFKOXAqUfFvblDda44M5wlyOsSHA9DBkyxLg9pk6dasaBa3bLNVK5F3Cb2B4SqX7GC6UdfCcZI76vLuyHRLrtPVBtrP5Eeog2uZFGrA3e1xJ1QtyY4BccD6JxXgtNzOpformf/SHyT8hZ3i8u4x/9hVcie58RvwSgH2UJFiiKoiiKoiiJwYZvxa2tw3frhwGBjzDlb2PEKoIHceyKfpqLITxsPThreyOmEGk033MFBvXTZNN5sC2OAGrgyViSzUXIEghA9NNMz2bzEb+IXRy5vIYV3q5fTjf40nCt5ECNOEvm0YyOfWFbHj58eOx9LM78PUyQgJIELMv0EsAWbUHYs845tc40C2dcOGeysIAFGzFFsIDjWHcEJRDU7APjNGPGDNNrjOtiThCO1PVbaMJHYICMN5lnzgurPGOb6rlwHdj2mUOOwxjTtR47f1nt2IhFhDQBBTQT9xHzQX8AC8fD4cD5Mre4ABDcNsBCpp6AE+9zrjgxCJZwP9lO+gRkGCOvCMWlbeF+wf6OG4XPUZ/Oc163ECjgnBlfzoUAAEEJsteAUCV4QR8AAk5cD2PFONpVGAjMcD3uEoReCGogitGObmNAvkucAwEcghLc/9wbbnKZeec+47vEfJLdJ3Bk7xe+a3x33BIUcMemtHsBmH+3pr+0z9jfA8A29KHgHDh/XBE05eR3A+Uw7ItAGePq1yS0IgmEvV6hUnBrapLuOBBI2MBgY8MK/z63PSr5DRpLvXlrpH/eXJk2oJWsCGTIf783NkI/I1wkrdeukXmNGsvmzRfLIX9NlaX5beW9uo2lTYv6cnjLbJk6cYI0Xl1PNu2wpexzwa4SCoXl1GeLrVrLcuZJQbsCOa19Gxm3dIFMXityZvt2skOjjjJqxFlmm9OuelaueKt4OYhTd9tM+mxW/ItX2fDwy49fdNjgUv3OKJWPzlPNQOep5qBzVTOo6nlCQNg/8hMtb6VEMvnYphHAZekinyrUF3M/2Iw5TQXJ9tLITalec1XTQODiTvA2F/RC+QJugkQrE2zM87R8+XLj1iCA4V22MpXfmVaH0r/CrlyRiLR/2xMtsg0vkj205j9KCl39wSb2g3XrSlab1pLVMtLAxXtPpmb1j3+uy/kpiqIoiqIoflBnTlYScB2wRJ7+Ha+UFxLAlAKkIubpp0APChwFtY1TTz3VuAMSif4qtfpTm1CR29V2QtHIAHreRJ4CAQlkZ8eiUN5oVIvmIZmddnO/Cj5pRVEURVEUZaOAbCEWY2vjJ0vr1mgrSlmgXISyg1RA71D37i5HWZv6hjRzSmKqlfBP1MiurNtt7Bgt77OMn8W+bvS9W+Pvo9Z7tG0oS5vMkdmrkx/Tu3yfdvVXFEVRFEVR/KCOHJuxolQ1lSWAa+s1awFeFRPf1b/4dTfTv3u3FrJ5y/py+u6dU9pnieZ+KvwVRVEURVEURVFqLWln/JVS8EvtJ0j5s9ifXfAvEoEpFugBJyRz/M4d0zoF7/J9KvwVRVEURVEURVFqL5rxrwSSye6QWxLgzEZ5Ok16GwBqY2VFURRFURRFUZTai0rCyiAQTsHqb3P/0Y+UoyOfN+OvXf0VRVEURVEURVFqLyr8q5g4q78j2Mvjzi/Z1V+Fv6IoiqIoiqIoSm1FhX8lUEJ3xwwAgXirf5zwL7tY935Whb+iKIqiKIqiKNWZOXPmSG1j7ty5Eg4ndodXJCr8q5hwVJN7pblb718W3CX91OqvKIqiKIpSfl599VXZZ599ZM899zRLVx9xxBEyffr02Pt33HGH9OrVyyRh/ve//yXcT9++fSU3N1f69+8vEydOjHsPEbDpppsm/PyaNWvk4osvlh133NF8vk+fPrL33nvL/fffH7fdI488IjvttJPZZrfddjPb8Tk+78e4cePMto0bN5bWrVvL4MGDY++tWLFChg4dao653XbbyfXXX19CrHC8bbfdVnbffXfZfvvtZcSIEXHbvPPOO7LvvvuasevXr5/Zz0svvVTi2m+44QbzHsc67rjjzLFdKuJcSptHYCy8D86tInj//ffNPfL000/HvZ6XlyfDhw+XbbbZxpw78/fWW2/F3l+7dq3cfffdZj732GMPc/0XXXRRiTn98ssvzRjzYN5POOEEWbp0qe+5/Pbbb5KVlSXXXXdd3OuMF+Nmz4VxfPTRR2PvFxYWyuOPP27OY8CAAdK7d2855ZRTZPHixWUak4ceekhuu+22uNfmz58vBx54oHTsmLjR+T///GO+T8xPMtasWSOdOnWSvfbaK+51rpvvrDvPjBvzM3Xq1IT7S3Yf5ufn+36XFi1aZOY0IyPDjClj/++//8ohhxyS8HtZkWhX/8rA0d1BT3v/mNW/Apv72Tr/UPRYqvsVRVEURVHKD0L0vffek4EDB0ooFDKCatCgQfL7779LTk6OEdYISUTls88+a4RTixYt4vbx3XffyU8//SRt27aVsWPHljjGV199JfPmzZM33nhDRo4cKZmZ8X+un3322eb9r7/+2hwTsXHzzTfLvffeK+ecc47Z5plnnjFC5JdffjHCA7744gtzXuedd57Uq1evxHERO5wPggWh5YpSBE6rVq3khx9+MOITsdOgQQO54IILzPuffvqpnHnmmea6ENyIIsRUkyZN5KyzzooJu2OPPVaOP/5485xxPPjgg2XLLbeUrbfe2rx2zz33mOv+/vvvpU6dOnLSSSeZY7/77rsVei6lzaPFb34SQeAAQY9wTwYC76qrrvJ9j/vl7bffNoKwUaNG8uuvvxrhzrUiwJlPxPHPP/8sm2yyiSxfvlx22WUXI7btfPHaAQccIDfddJOce+655vqOPPJIE0h67bXX4o7He4yJe82WJ5980gSy/vrrLxOImjVrlvTs2VPatWsn+++/vxHl3G/jx48380fQYr/99pPDDz88rXGzQacnnnjC7MvyySefyOWXX27mOhHPPfecPPjgg0ZIl8Y111xTIohk4XvmBg6YR74/m222WcL9JbsPs7Ozfb9L3NMNGzaUF154QY4++ujYvn788UcTwOE7siHRjH85GDVqlPTo0cP8go/gb9NwNXzAafQXjj4CPuK8PM39vJ381eqvKIqiKIpSfhCqiEUIBoNGWP39999GkLkggBDsDzzwQIl9IG4RYol48cUX5dJLLzUZ2tGjR5d4n8z5QQcdFBNrJIsQGx06dIjbBiFvRT+QmSV76g0klMYff/xhRDLCBOrWrWuE9a233ipFRUXmNQRzs2bNjNAGRCt/HyPeLAhRhL8FUUTQwmZV2Rf7ZN8IJOCYHPvPP/+s0HNJdR7TYcaMGSb4kooAPeOMM3zfQ/BzrpwzcA38/Pnnn5vnCEvOFdEPZJRPPPFE42Cw1//ff//J6tWrY5ltro+MvHv9rpbBPdC8eXPfc+nWrZsR/cC/PLf7QdwSmLFBG+5Hrgu3AYGpdGA+zz///DgBz32KeEZQJ4J55nibb7550v0TQPnxxx/N98YL90+xlouAUGdcE5HKfeiFoAMBGQItrugHxo3vPe6FDYkK/3LAxGHP4kZKFa8EDzkTEV/jX75zc8W+Wv0VRVEURVHKjzdjil0fyHa6IMhOPvlkk41ct25d7HVELsIgkVApKCgwmXzsx2RWX3755RLbILjIarsCA6H82WefxW1DJnLZsmVxn33zzTfjggGpwH7r169vRJ8FoYRtGQEEWPjJetpAxcyZM41zwc3WYgW3QQeu88477zQJNCtQ2Rf7xFJu2WKLLYw7geutyHNJdR4rGgQo83Laaaf5vn/YYYeZ+eecgWvg2uy5k/W/8sorS5w7tnuy94CDonv37iarTGCFsWDevZlz6umx6hOI8IPgyOTJk00gBfiX7L/dT8uWLU3gwHsu6Y7j7NmzzZhQduFCsIJARzIIsHGvJ8O6GkaNGuXrqOY6XAcMATfuNzdI5SWV+9BlyZIlRvTjYMDW74XAASUAuF02JCr8q4nVP9Lcz/lIOcW6K/Y1468oiqIoSnUGgZJXlFfpj/I21cK2j2Ufu7UXMpgIb2z3braf1xOB0EMAUXONKwDLsbf2F9FI3TeZVvZnRaILQQcEFcLksssuK1cmm2CFVzTa4MG0adPMvwj4jz76SE499VQjOglssI2fpR0RRvkD4orrRUDZ44B7LIQaz+1xKvpcSptHyiKoxSYrzjiuWrVKykppAhQoObj66qvN3BL0sNb5ZA4Rzh0xyT1jxTfClGw5NnOuCzFKEMoF5wAZauuu8EJA5qmnnjL/MqbUsSNOyWwnOxcEcLKafC+UdXDObdq0kQ0Brptdd91Vttpqq5S2p+8EwSOCd4lI5T60LFiwwMzjjTfeGHOZ+NG5c2f59ttvZUOiNf6VQCBm6Pdm/CPvgNHpcSUBUu4af4sm/BVFURRFqc7kh/LlwrEXVvpx7+p/l+RklKxvTgWymtRAIyys6HJB/JDBRZwj1rH6kjGlCZ+bnXfB7mvr9I855hjzWWq+qUm30GCO2mPew+J/4YUXmmABz6nBBpr9IfyoGeccqQtHvGG398s4JoOMsbcG3D7nPSCwQIaYLDOiiU7liEbqmb0gfLHEX3vttUZoI/wQfXZffsey71X0uSSbR/oCINg4V6zzRx11lBnXb775JqWaci/sn/ILa433gww8YpwafoQgWXYCJNj1/SAjj/WefgYWghOcJ/PM/DMu7BcHiYWeCVwD45MIgif0BSA4g1sDsYsoThQooM8AdfpuP4ZUQBjTf2FDQPCLa+ceSxUCdYxbMlK5Dy181wn6lBY0ItBQngBdKmjGv8LxiRwnqPGHkG3uZzYLVGCNvyP8VfkriqIoiqJUKIgixOChhx6acBtE+ZQpU4wYevjhh5N2+iezTy37zjvvbJ5jeSdb7e18bzPDiELq0skQI/zISmMptiAyP/74Y9OEjWNTGsC52nrxVMGG7LVu2+e8Z4MRiEMrJMkyI3bIVvuB5Z8MKNvQpd7dl9+x7Hsb4lwSzSMN32iGCLgSbr/9dtN8zh0/2wWe/gnMNWPtdodHxFsB+thjj5XonO+C++SSSy4x54Pot9b+Dz/80DRv9IKQxI5Ogzu3vwPim34DWPhxFmBjJ1uPc4HGfwQxKBcorR8BtnTGhLEEgk2If9sg0YVSAwJVCOZkNfl+EBBLt+9EquBquOWWW2L3RmlQws0cejv/e0nlPrTg1uBe5B6jiWEiCDp5S3MqGs34VzIlrf6R/6/orv6u1lerv6IoiqIo1ZnsYLbJvlfFccsCtm/+wEe8JgMRhAC3y5RRv50IGvIh5tzu4tTCk9Elm2obsCFMrK24a9eupvs49cMci/2T6WV7MogIKmz1iElcA4g3ghDUT6cKnyEr68I52PeA4IbXJs/SabaTOg3qWOLMrccmi8352+UM7b44lm1eZ5/b9yrqXNKdR7BinOZ5ZNTBdq9HtJPZZTk7v472Y8aMMX/b4yBwITBAIzkEM2OB8PPa5Dl3ar/dUoX169ebeWYVCVYjcOH6cVC4GWn2Qf05jfC4XoJACHV3DDkPzp1VIwiSsB+WOfSey1133WWy6BaCKsOGDTNimetPF+5T7vOKhu8SDQpxc/CwDgnGjkAN30tvZp8x4FoSOSwsqdyHFr6DNF/E5k9zTfpN+JUdMAZNmzaVDYlm/CuBuNp9z3s2DODV5sEKrPF3bf+KoiiKoijVDUQRlvvKfpQl0YJYY2kz27EfWzaPRJAJxmqMmEqW2SSzj8hHfPFg+b0PPvjAZFMRDhZEu7c3gW0yZuvl6Tbu2r+BzC92b7tNqlBGQJYYIWhh3zRFs7Z19uvt5M5z7ORWgJJ19sI2ZOSBfRGkcMdy0qRJxglhM7AVdS6lzePChQtNWYS3GR60b99e0oUO8dTZ27m1wQECD/yMCCWww/n5nbubReZ+IIvMw4p3mhXabDHXz/nbZn92H8B+CFoQbHHPhUASLhJ+ts6IROPozWjjAGBMWIkCKE2w/RpSgWNviEw3jQE5D/c6Bw0aZFwUfLe8op9gCOUhjENppHIfulAewSoAODMIALD0oxeaCiZburAiUOFf0YRTz/iHPVb/pBGCNHGz/K6TQFEURVEURSkbWOaff/55U4dPPS5/7LvLzfnBEmKPPvqoaTaXCP7o50HW14XnNEuj9t9CDTG2cyv++RdbOqKCNd8tbOOuKIAgI+M5ePDgtK4ZIUOmkkwvsE/WG0fo2cwoy7qR1SbDaq8Hazufs53eEZsEMiyMI6UKZFgBYY4QdldC4Jjsw/YuqKhzKW0eGWNKEKxAQxTiCqBZYDpuiXTg/BkLsulWCHNuXItt7mez6wRvsOBz3jyeffbZ2Br1BAPIHnON9tzJeLMcny0jSQXG8ZVXXok1j6R8gFUm3EaDzBf3FL0s7LkQpHIbTg4ZMsRY7hPBOWGTpxyiKvnkk09MaY11drjQZJPgBv0iUr0PveA0ofSGIAAlJDgwXP7991/ThHBDolb/yiBhjX9xcz9vV3/N+CuKoiiKolQfsA6T3UR8eQUUzeMAgY9wxfaLwGYZNYSAK/rpik7dtq0Hf+SRR4yYoj6fLLO7XBv1yYgNHmyLOKFOnAwvnf0RsohURL/bIR/Rhtil7p/XsNnjNqBRoF/m3Yu3eR3CEgs4Xd3ZF0Jv+PDhsfcRm2TmWU2AjPDKlStNZtnNmlNTznOuiTHEbUHZAdluC/skk4pVn/Pt0qWLOXZFnksq80gWGqcG+yILz/44F8bYBg/KCk4DBKD92VrsgQaNzC8ZZc6dc2UbK5xpuGeDQN7eDzSNtFZzzpP7iAw21nay9+79YeHYPFyrP+Ke66eMgDmipMCOI+vN25KDCRMmxEpYCE65uEvhERiwDSv9oCyhb9++JjDlZttZ4o+eBwRf7HeFeXS/H9w/BGishZ9thg4daubehSDQ+eefH2f1J2jhlknQ1A9nhh/cZ4h7dwnNZPchzxH3HNcG2+xSmgRyuL8ZM0o/+H3BPLM8vFtCsSEIhMu7jolivghEcfrc9ojk12ss9Raslf55c2XagFayMiNDZk1uKHlrg5IRLpJueUtlcr2W0qXFYjngr1kysXBT+TU3V3bpXE/6tW4sE36fLM1z28u2vbeWnrsX1zdZrvzlbfljdZGc1r6NjFu6QCavFTmzfTvZoVFHGTUi0mzjyttekRvenySzlka6So4asp3kZqXffVQpO/zHBJsVlp/S6oSUqkPnqWag81Rz0LmqGVT1PPGHN0teUS9cXhG1McOf6Ni6EcDl7f2UDLLD3A+26ztNBREtfg3llKqdq5oGwhzxjnMhWYM9RC/BMcS+2weitszTiBEjjMvDOgjS+Z1pdSiOj0QrV1j0v8qVQSBZc7/iZf7inP4VmPGvRve1oiiKoiiKUo2gdv3oo482P+M6oK4ep4CilBca4JHhLq2rPtlv+lK4zo3awmeffWa+c5URaFOrf2Xg2PuLzf0RbNsN09U/sGG6+qvVX1EURVEURfGDbCFLiVnL8gUXXFCiU7yilIVkfS28sOqEXYKxNtGrVy9TklEZqPCvBFzZbTR4VPvzT9gV6hXZ3M+t8S+ne0BRFEVRFEXZOGnSpEnc2vSKUlU0a9ZMahvNKvGa1epfnaz+UnHN/eK6+mvGX1EURVEURVEUpdaiwr+Sibf6ewR5nNW/fMex9v7yBhAURVEURVEURVGUmo0K/0ogVQd/nNgvb41/VPCr7lcURVEURVEURandqPCvZIJOo7+SFKv08mbqbcZf6/sVRVEURVEURVFqNyr8K4O4jH9i4R9wZ6O8zf0CJWv9FUVRFEVRFEVRlNqHCv9KIM7Bn2SDeKd/RVn9VfgriqIoiqIoilK9WbRokRQUFEhtYs6cOZV2LBX+lUDjwvW+Gf8Suf9ABVr9tcZfURRFURSlQnn11Vdln332kT333FN22GEHOeKII2T69Omx9++44w6zLjcJnP/9738J99O3b1/Jzc2V/v37y8SJE+PeC4fDsummmyb8/Jo1a+Tiiy+WHXfc0Xy+T58+svfee8v9998ft90jjzwiO+20k9lmt912M9vxOT7vx7hx48y2jRs3ltatW8vgwYNj761YsUKGDh1qjrnddtvJ9ddfb87Te7xtt91Wdt99d9l+++1lxIgRcduUNnbA8b2PG264ocS5/vjjj9KjRw854YQTfK+F5Qm55l133VW23nprueuuu0pss3DhQvN5jsGc8fjoo49i7y9dulROPPFEc71s069fP/nqq6+krHDORx99dGxfnNuXX35ZYrv8/Hy57LLLJDMzs8T4WFauXCknn3xywkRhKuPIPHu3effddzfI+abCN998I0OGDEl534WFhfL444/LHnvsIQMGDJDevXvLKaecIosXL46bw+uuu86cf//+/c1c3nrrreazFvbL/e4dix9++KFUwX7AAQfILrvsYvb78MMPx96bOXOm2Qff8Y4dO8qZZ55pXv/zzz9lm222kbp165r358+fb+6pk046SUKhkGxoMjf4ERRpsaZI5vJDIHnPvvjmfuU7pnb1VxRFURRFqViOO+44ee+992TgwIHmD3WE46BBg+T333+XnJwcI6wRtQjcZ5991ojfFi1axO3ju+++k59++knatm0rY8eOLXEMhMC8efPkjTfekJEjRxrR43L22Web97/++mtzTMT1zTffLPfee6+cc845ZptnnnnGiPNffvnFiBr44osvzHmdd955Uq9evRLHRRxxPggSxMrTTz8dew/R36pVKyOG1q5dawIADRo0kAsuuMC8/+mnnxpxw3Uh/gkUIKSbNGkiZ511VkpjZ/EbE5fbbrtNxowZk1D0/vrrr+YYn3zyiRGFZJERhY0aNTLCEPLy8kwA4sorrzTiFoYNG2bOZd999zXPGad///3XzBfn98477xihN2XKlNiYuixfvlweeOABM+5+XH755SYQ8/LLL5vnjz32mLl+5miLLbaIidBjjjlGunbtKkVFRQmvj+vo3Llz0nEqbRyZn2TbVNT5psKSJUvk+OOPN/d+VlZWSvtGNHO/jx8/3gR3mNP99ttPDj/88Nh1ffjhhybgxBw2atRIZs+ebe4FhL87T1yXe7+XBvcv9wLH4h7iHttqq62kZcuWJmDWvn17cw58j7jPCT4AvwsQ/ZwX3zPgGr/99lsTNLz00ktlQ6IZ/3IwatQoE23kF3wy7K+lkr+fEi/nV17BrlZ/RVEURVGUiuXggw82ohKCwaCce+658vfffxsx5IIAQbAjBL3cc889cuSRRyY8xosvvmgEANnK0aNHl3gfAXrQQQfFxDICGAHeoUOHuG0Q8q5ARQQfeOCBJQIJpfHHH38YwX7RRReZ5wgXRD6ZUyvIEMzNmjUzoh8QWfx9jPhOd+xKA9GJ8PcGVFznAX+fc73Adscee6zccsstsW0QsQQurOgH3seFYPntt99MltuOM66KVatWGRHpB8Lfz51g6datm5x//vmx54h35uLtt9+OvbZ69Wp57rnnjNMgEQjcDz74wNxjG5KKOt9UQPQyX+3atUt539nZ2SZTjugH5umMM84wrgQCY8A9yX3L/Qjs/7DDDosFM8rK+++/LxMmTDDBIXuPEbi46aabEn6GoAPf27vvvjsm+i2XXHKJCURwf21IVPiXAyKY2LOwwiQjkLSTvxsYSHHdvxSwcQOb+VcURVEURVHKx2uvvRb3HCuvFWNeGzVW7AcffFDWrVsXe33q1KlGLG+++ea++6e+mUw+GUJEip9AQfCQYXezoHXq1JHPPvssbhuy88uWLYv77JtvvumbrU4G+61fv74RghZEPVlOggJAlhwngA1UYHUme4tLIN2xKw3EU7JeWBzbPS60adPGjL2tp2YcKAVwwYHhZtERiGRmCcDA888/b/717judhKEbrOAaEKvu9ffs2TPhvWGhZCPdOazK800F3C04MFxK2zfZdc4x2T3FfUlwwLtNXpr3nN93gu8D3wv3O0EQy/udA+69Qw891JQD7LzzziXep7Rnk002MQGdDYkK/0qkOACQIBBQgRn/WI2/zrCiKIqiKMoGgewvgpE6Xy9kSxEB2O7dbL+bRfWCcEYAYXfGFUBm0VuTf9ppp8lbb71lMp3sD6HrhaADGUbECTXS6WbVvaLFK3at8Jw2bZr5lww79fGnnnqqdO/e3Qg2trnqqqvSHjuyqPQJQJhz7ulmQbFXe8fECn7GBP766y8TLDn99NPN8akRpzTDheALLoVOnTpJly5djMsBazn9GSqCf/75x9wf2MU3BKWNI1b5o446yry/1157GVGarM58Q50vNfmUVGy22Wbl3hf3FAKceyAR33//fZyzAyZPnmwCSjg8sP17g1Rl+U5YKA1hzJ566inTCyARBJ2w/G9IVBZWArFB9mh5r/wPOBuUu6u/rfHXjL+iKIqiKNUc6tRDeXmV/vA2qEsHsoZYlLHz27pkF8QHWWPEOYIK0YTgRFwks/ljS7e1v2TRXWs1YCdHRGC7xuLPcbChs28Lz6kxRmhwjtQ1b7nlliX2lQqcg1uDD/Y57wGBBUQyNntEFPXZiKuGDRumNXbUne+///7Grk22nWZoXEs69ePYvf/77z8zllakWeeE3Q9zgbWf+aGpHL0U6J1ACYDlmmuuMYEXBC8PyhY4v4rixhtvNMcks13RpDKOBGfoDYEzg3mjd0KyGvMNdb4LFiww/zZt2rTcAYQnnnjCt7zGbfo4Z86cuICUbcDH3OO2wa5PcM3rJkj3O2F5/fXXjfj3vu4Fl5Adiw2FNverrEx/2M+9b1+J/kfHdfqXMyRjM/72X0VRFEVRlOpKOD9f5pyXOBO+oWh370gJeP6ATxW67pMxxcKbiAsvvNA0SKNb+qRJk5J2+iezj0CzVmA64yPOXnrpJdMYz4WGYTwQFC+88ILcd999JnOLQKWuGajx//jjj40lH2s7AQjOFZsyGe5Uoabfa422z3nPBiMILtjGeGTyCXaQ6aQsIdWxQ4BbsFHffvvtRmgi2BCuqUCTNYIeCHtEIDZ/sve4IGg2CBkZGWZe7D5xT1DvT4NEXAuMGZ+n4RuWcmDMmA/KKOx88Bky52BLOtz6bQS4e00WAjcIUITqhiCVcSSo4WabqYXHJcBc4oaorPOlESSk23vChWZ9BMpopknjST/mzJljyrQR4m5Aiky9W1JjVwcgKGIbU3rhvndLePy+ExZ6WRBcIRDDyhluyYwLATB7L20oNONfmZSiweNK/MuZqY919deMv6IoiqIoSoWCdZo/8MmCJgMRggAnm4r4T2aTpiEfdmy7nBjNzqj5J9PsLlHmigM6ntMUjG3IYpOxBLa3S5ZRp43Q/vnnn42IdZdsSwUs2N5MpD0Ha88mAOG1V2ORJ8hghV26Ywe25p4Mfjpg30fYYp2mfhyhR2bX1oxTT+02kgOaI1qbNv8yft5r4jn7syAYCTKwYoLtAcBz+/AT/ZwXy9DhvvBzimwIUhlHtsERMGPGjEo9XzLdwL1eFggwsSID5Qp21Qa/VQMOOeQQU86QimuDsZg7d24JcZ/Kd4L73oXAC66L5s2bm1U1bNmJF66/vK6H0tCMfyUQa96XqLbfz+pfzpCMdvVXFEVRFKWmEMjONtn3qjhuutDNftasWabjOCCobaYwUdafzPadd96ZNKtJZh8Bj5gHyhBoIk2mliXJ7FrgZJ7pKO4miWwW0TYbI3tL/TqN4Cws4YfYdRuSpQI9BygpQNzbc2PZPoIItqM6+7Wd1C08J7PuWqKTjd3ChQuN3Zrl0SxWJLE8WqrQXZ9SA1fgkXGlFMEKV2rfKQFwQcjZ49iggN81lbW5HxAMIFBDLwdWFSBYgyPCW3NeHlIZRwIyOEyoa3e34Z4iKFKZ52tr420TxXQhK8912TIFzg9hboNSBNO4zmuvvdbMOwGdRx99NOa+oSQEoY8DxB0LAmZe54P7nXjooYfMygP2+8R3gvvYukpcEP18twlIsbIFATrvdlw//TE2JJrxrwQCnh/CKcxG+Wv8I/9m6AwriqIoilLN4e+eYE5OpT/S/XuLjCGZXZq8UdfOH/ssdYdFPxGIDoQGFvJE8Ec/DyusLTynWZmtVwdqhbFu2/4E/EtmmYy1K/TZxs1YIoiov2ed8XRA3LMM4F133WWes09ED0KLZfmAzukssccSePZ6EJ98znZaL23suC6WOkO0A9lnXAGIoXRKE2gUR5+E9evXm+fsn1IH12EwfPhws+rBr7/+GhP0r7zySszajfAnO3v//ffH9sO5EohJthRjMlgFbMiQIaZ3AEEHrh/rd0V3ck9lHAm+0GPB1p0zX5Q5sCSdFbIVdb7cBzZA5AdZbs6NeUsX3CPc0/Rq4Px4ECSzzR2ZO75/lM+0bt3avE+wie+jhYAW42UdMnyWkgYbaAPud5aRtPcCtn16ZnB/WIcNzSGvuOKKhOdK534CKDgD+Ly35p/rT9b/oyLQjH8ldvMv7b8t7tuBctbma3M/RVEURVGUioPMIcIQa7F3SS5qoAFBwRJ+/HGPwEZwIo5d0Y+gwPrLNlj6aayGmMSOTGMxN1NLnTmWYx5sS9aQenW6jtPZH1GNgED0IyqsaEOII7io++e1/Pz82BrsyTqLW8jUuyBqaOxGVpR9IbQQzxbqq8kgU0ePjX/lypWmltyua57K2CHMcEewL1wC7I9u+lyXDR7YMSYQQpAB0ce4XHzxxUZMAU4EHmT8qe9nX4h29mXBRcHckPXFBYDoo+GbW9PNMRCWZGk5PqKPFRpwDpQF5p15dLPsgE3dwtgScMC1YHsIIBjdLvMIUwS6tZZz/fQ1sCI0lXEkY03whXISXiNzzfhdffXVFX6+zFFp9xz3E4Ept5dFafvG9UIJDRAcc7ENMhHwtuzirmjgygvfPYIgiG7uBcaLe9u9v6nfJ+BlVz3g+8E9ZVeF4D0CJDao5s4RfSJwYfB7geAB333GnzHhPPkcpSU4TmyPjA1FIFyedqaKgV9ujRo1kj63PSL59RpLvQVrpX/eXJk2oJWszMiQ5r+H5fuiJpKbXSC91iyQ8dmbSNdWS2Tfv+bKX4WbyIQ6WdJ/8/oyoFtLGT/2D2me2172ObSftOpUshPqlb+8LX+sLpLT2reRcUsXyOS1Ime2byc7NOooo0ZEflldedsr8v6f8+WdX+dI19YN5NJBG9Y2opSEXwx8yfkPj42GK9UPnaeagc5TzUHnqmZQ1fOEgOIPXWphXUGnxMOf6AhSBHt5naDJoLaY+8Ha22kqiOCiuZlSveaqpkG/AAI9uEHIkCeCPhCId4IT3hr52jBPp5xyimyzzTbGDZPu70yrQxnDRKtoWPS/ypVZ4x/N/Cdczs+5Acvd1T+W8S/ffhRFURRFUZSNF+qZyaYCrgNWH8ApoCjlxS6rmEz0A8KVRoksxUimvzbxzDPPGFcOjpoNjVr9q5TEqrzcXf2jgQO1+iuKoiiKoijJRBcWZ2vjp5HfoEGDqvq0lI2AdHozYH2nPr+2ucUOOOCAuPKJDYkK/0ogmGKNv9mmorr6a42/oiiKoiiKUgp0F2d9d0Wpakqzqm+MNGvWrNKOVbtCKlVNIPVtyt/VX4W/oiiKoiiKoiiKosK/Smv8k36mvFb/jMjnM6P/KoqiKIqiKIqiKLUTFf6VafWPvRJdd9XHAmAFf3mt/lu1aySbt6wvO3euPPuIoiiKoiiKoiiKUv3QGv/KJI3ke3kz/s3r58jl+21Rrn0oiqIoiqIoiqIoNR/N+FcCZZHwAV2HT1EURVEURVEURakAVPhXAra2P1GNvyvxM7KCJtufW0/NGIqiKIqiKIqiKEr5UeFfCWRGBX8wWHpzv8Yt60qPfm0lp25WJZyZoiiKoiiKoihK5RAOh2Xu3LlSmygoKJBFixZV9Wmo8K8MWufkSaNWBdK4xfpStw1mkO1X0a8oiqIoilLdePXVV2WfffaRPffcU3bYYQc54ogjZPr06bH377jjDunVq5dxb/7vf/9LuJ++fftKbm6u9O/fXyZOnFhCGG266aYJP79mzRq5+OKLZccddzSf79Onj+y9995y//33x233yCOPyE477WS22W233cx2fI7P+zFu3DizbePGjaV169YyePDguPd//PFH6dGjh5xwwgm+n58zZ44ccMABsssuu8h2220nDz/8cIltQqGQ3H333VKnTh0ZO3as737eeustM7a77rqr7L777jJhwoQS28yfP18OPPBA6dixo+8+3OMxBn7bffnll9KvXz/zYGy4rqVLl8Ztw9zY8dt+++3lzTfflNJg/m644QYzBszRcccdJytWrPDdlrng3DhGWcZz4cKF5rz5PPcdj48++sj3WBdddJG5L9371e5j2LBh5jjbbrutHHnkkeY1l19//dXc94zDVlttJZdddpkUFRWVOhZ+13vIIYfIv//+G/f66NGjZZNNNpHrrruuxGe4744++mhzjcwV9wVz58LnuHa2sQ/3/uWaW7duLXvssYfstdde5l+2ad68uVxzzTVJz5nvUe/evc347L///mZeLMxz9+7dzbiyvx9++MG8fuGFF0qjRo3M9+XWW281rw0ZMkS+/fZbqUpU+FcCmcGwNGxZINk5objX/br6K4qiKIqiKNUTRBx/1H/22Wcyfvx4I2AHDRokeXl55n2E9ciRIyUrK0ueffZZ3yzfd999Jz/99JMRIohfxIHLV199JfPmzZM33njDZAq9nH322fLnn3/K119/bT7P/hAd9957b2ybZ555Rq6//np55513zDbs85ZbbjHntmzZMt9rQ1SxLQKKa3JF7m233SaXX355wubTCGxE6s477yzffPONEXKIMXcfHJcAxeTJk2X9ev9kGMIJEfriiy+a6zv55JNl4MCBsmrVqtg2n3zyiRFgqQjPUaNGyZQpU0q8vnz5cnO+iFwCHgiy1atXxwVbOCZi99RTTzXjxzlxblbcJeKee+4xc8c4sG12drYMHTrUd1tEp19QIJXx5J4jAMVcMW+//fabbLPNNvL777+X2B/vcU/4HYcACvPKOCDwmzVrJocddlhsG4Qu99cxxxxjxuH777+XMWPGyLXXXivpMnz4cBM84GE555xz5LHHHvO914H7rnPnzuYaOcfjjz/eXPOkSZPituPeZhv78AZpBg0aJF988YV8+umnsX/5nh511FEJz5d98D1i/JkHgkjMC+Nm548gCHBMAj1AMId7nXHnfY7z5JNPmnNP9P2rDFT4VwtKLwFQFEVRFEVRqpaDDz7YCFEIBoNy7rnnyt9//y2//PJL3Hb77befZGZmygMPPOArDBGciUBgXnrppSb7jODwgpg/6KCDJCcnxzxHtF1wwQXSoUOHuG0Q8gQXLGQ5EXmcV7psscUWRuy1aNHC9/3333/fZObPO+8885ztEDk33XRTXLaXAMIVV1yR8DhkRxH1Xbp0iQVaCgsL5emnn45tw/m7IisRCNYnnnhCTjvttBLv/ffff0bok/21czlgwAATVLA89dRTRuAde+yx5nnXrl1l3333NdeQCIIRXMOZZ55pgkI20/7ee++ZYI0LIptsNnNZlvFELDdo0MBkwy0Ed3ChuHANZ511lq9QJzDBg+PYoA4/I7AJvMBzzz1nxsc6PerVq2eCIQjtdevWSaog1F955RU544wz4l5n3F9//fXYeHnp1q2bnH/++bHnp5xyirkH3n777ZSP3a5du7ixg48//tg4a7bccsuEnxsxYoQJ9uAMsGPz119/yQcffJDwM9wfBAVffvllE/Sx4GgggHLXXXdJVaHCvypQna8oiqIoilLjeO211+KeY9cHm/G3YJcnW/3ggw/GiaOpU6cacbj55pv77p+sJ4KL7C5iBfHgBTFBttLNeCOacCG42yDovNlFMphuMCBVEKfJlprm2Ai0+vXrx17Drk9AxJ4Dwge7fDLYj7sNghObNdfrCkUEb2kQlEGE+wlKxB4W7RdeeMFY89euXWvGplWrVnHnwrHd6+aa3HH28scffxiXh3sNBE0Qy+41WDGOI8FvXFMZT87XzZxD27ZtTXbcheAT9viePXuWOM7MmTPNv+51t2nTxvxLdt9uQ+DBPU+2IZDjDXglg/OlpKJu3bpxrx966KFJP8cYuQEnzoOgl/c7lwwy7u3atYt7DQfESSedlPAzBN4IzrhziX2fAJA7ly4EV/755x/j9vELsNkgR1Whwl9RFEVRFEWpUhBfhQVFlf7guOUBmz1ii/pfL2QpEWmuxZpsv5u99EKGH/s2QgVXAJlfb00+GWzq4LfeemuzPyveXAg6zJ4924hHrMbpCLSyQEDDFY9gAwzTpk1LaR9LliyRlStX+u4n1X1YyLAjvLB3+0HABnGNcwBbNnOIaCdQU9o1Yc339gJwPwPu5xCqPHevwYpx6uXLOp5knglqnH766eb+Q1QiOP1cD4nq2G3vA/cesjXs3D92G0pPXCu+d5tUvyubbbaZlBeENd+rww8/PO51rPRk1BkLsvS4OhKxdOlS42Bx3RJe7Dinej9S5sM9jBODgJUfBGVwCCW6fzY0umZclaI1/oqiKIqiKEWFIRn96F+VftyBp/WUzKyMMn2WjCPN/BBxCHUvCCZqpRHniHUEI2KNJnyJssbY/Kl5Bmqq+SyWZizvbkMxBBTvYfGn5wDBAp7brC71xYharMqcI/Zjeglgd6a5WkVDxty6Hyy2FIH3Ut2H+zl3P6nuA7DwU07g2va9UL/PGDEWjBH7f/zxx+Oywrzmdy72vaZNm5bpGhDLHIta+fKMJ+IXaz9BDhr/EbigvIP7Eis+cC+xjTfL7roIyMLffPPNxs2SkZFh7hHuZ+soQUTz2p133mnq7XE0IG4hnQZ/CxYsMD0IysuNN95o+ly4Dob27dubbDziH9HNdwS3BuUS3kw/4KShHAdnTkXdj/TYoKEgwcRE7hh7PMbC7/7Z0GjGvwpRx7+iKIqiKErNhEZwNAZLZlVGlNNc7t133zXiLFmnfzL71IHT0A2wGFMS8NJLL5XYlnprmriRPbz66qtNs0Bs32QcLYhA6pjpgM+xEWmc6+effy4VDcLSa722zxOJTr99uJ9z95PqPoDxIAtuLet+kAWfMWOGyYQj0rDi0zmfVQRo/JfKNTG2toM8/RMY51SugRKEZGI8lWMDIp1mcwQwAAcIGWzb5JF7DtcDAjcRXPuHH35oat25DpoZ4pKgX0STJk1iGW+y9T///LO5N7n3GGOw26QCga+y9Jdwoe8CbgOCEC5Y9mkcyP4R/pwfgRPXweGCC+fEE0+Uirwf2Serfti+DH7YAGFVNfjTjH91yORr4l9RFEVRlFpMRmbQZN+r4rhlAfs8f/yTfUwGDegQ4LYhnG2Y5gcN+chEu0u7Ya8mc7148eJYgzEEprV9U29M13E6jXMs9k8Wm+3JLiKEqI8m4IBrAKcAghBbeEXCfr0BBc4TOnXqlNI+6CZP1pZsqHc/6VjEOQ9Equ3HwFJu7INxJZBCtp1gDIEBN5vLeZLNZqk4mjhyTL9z4RzJ1iKQbSmBKVUpLIydJ5+jp4GF57zH/NLpHRcGD7CrHNjl6nAgpDKe7N+bzUaw07cAaEDHtdv7yQY0CA4giikjoYcA4p06egvXQnNCtwwBt4hbm06gCRKVKvjB/Zioc38qcL7MHQEXP4eNC0ERHDd+dv+JEyea+cAlkwx3Lr3zYIMtLjh0CLzhsmjZsmUsOOJir78qsv21UvhTM0P0lS+6t2EKX0Cif/wiz8/PN5apZI1MFEVRFEVRlPLD31tltdxXNjSMmzVrlul2DohMwFrsB393kmknS5ks40lmH5GPmLcCDJGCpZlMImIMEO1YmN2/UanlB9sMjk7yZL2xcVvIaiMU3YZxFQUi6qGHHjI2e7t/xCFjkk5WmGuz42nHgP4EV155Zcr78C5nR6NEVgWg9MHCOLBWPU32bD02dexgs7lcEwEb17rNNdmVAPwg606ghWuw9wPd7HFz8DmaEto+ABYy6Ah09/xSGU/cCd59IVKxvdv1513YP84E9I+t7bevu8EmGtrhDrFOATQRx+7bt29sGxr/4TZwgxulQbCqrLXtnKNdVo8xJGNOgz27ggFZdnc5S5g7d26J5ofA95YVEhLV4VsY52233dbMpV3ekB4UBI0SrexACQJBN5wkiH+vw8dev7dvQGVR66z+LK/g1+iDG4hf5Pfdd5/cfvvtpuEDtTKKoiiKoiiKAljmn3/+eZPVQ5AiiPyWavN2xH/00Udjddd+IAh4WNFv4Tl12NT+W6gv5m9V25iQf1lajWyvK/TZxl1RAKFEdpk65IqGJfjolE//AkD80Ggu2dJ9iZwUZKr//fdf85zsNdlb6swrErKzZF+ZT0DokgDE8m5LLbCCI/htopCmch999JFccsklCffLuXIN7moOLN/GMop+XfXLM55Y21m5AaFuAxcsl8dqAemAWLUd/HEeUMdPd3qblUbs4oCwZST0KOC8XLs9Y8lYJWsiSdM9O6/pwJKHQ4YMMWKaQAffOZYbdJfUw8XCw4IzAPeGt2t/UVGRmU+7NKEL88VKD27A5KqrrjIWfnvt6ETmMVn5BIEmgnQ83njjjbj3uH7mNZ1g2Ead8SeqxMRyMzE4bkQK6GJKAwosKkRq+GIlW3/R74vurgVqwQHAPomsEenjZ778iqIoiqIoioJNG1FFltiKQ7f2GBD4/G2KHRiBzRJm/L3qin4EAXXV1n6O0KCDP+KCJmpudptacDKXPNgWRwDCAhs7fxPz9yqBAEQ/2VCbHUbw0ICNjCev8fe1XfucWvbSQMC6cF0EH7CpEzzgXOhijkC12xMAsR3mEVH8Pe8NMvCcawFWN8D+TaNDezzKFfg7HTs6HesZO5vltSB2Ed+uhR/rtdcVwHvsx90OwccDGzf75TMEFxC8uADcMeSYPGe+rJDn3DjHZCDI0ROMA2PepUuXEt32gbFkDFyrP0EDEpSpjCcClPuLrDLWd0oNEKp+wp9x4Dj2ZwJEBItg4MCBJsjB9XNv8z7BAAvzQL8JPsM2zAnCmrIEC/vGUWKdJ35w7tzfrosBaMRHWQNzZJ0ZBEusY4Lx554hgObiBoPYL9dz9913m3sdXUegCyHvMmbMGNNZ3690xC7r6Nb0c844Q7i/+K4h2JkX6xbg3G1Qjvkj2Mb9QWCEQB4BC35m/nFicE7e1Qgqk0C4vOuYVCB8MRHmRDcZIJZKcIU/X3RsMlgu7JeIyBcWGvsLgRuTG98Lv2BZqgO4qagP8Vr9bVMGbkZuCGpsvL/4/CASRr1Pn9sekfx6jaXegnXSP2+OTBvQSlZmZEi/qavks02bSW7ROmn2+zoZn9VOurZeKnv/tVAmF7aWiXUzZffODWTP7pGlPnr16mVqafy48pe35Y/VRXJa+zYybukCmbxW5Mz27WSHRh1l1IjIF/3K214p1b6ibFj4xckvCmw+OhfVF52nmoHOU81B56pmUNXzhMjh7x1qlb2dy5VibN044nFDlp6SreV+sPXi/C1NkzcSbUr1mqvqeu1Y7tEuCOFkYMnn9046pRsbyzxNnTpV9t13X+NYcANZ5f2daXUozRMbNmyYdD/V6r/KRICou0jUZRErPpFFRD/QpITJczP4DCYRNO/Div5EYJMhUkQUB5sMdh6WhNiw1K5fDIqiKIqiKEr1gi7pdj1zXAck1PxqoxXFD/oX4IDBiVIa1MbTtyLRcpYbK/n5+ca5QNI5XdFfkVQr4Y9lhW6bieAmIQppIUqNDQTbREX80qNbqo1804DCrYtKC9XziqIoiqIoSg2AbCFWcZq14ay94IILfPthKYofOKVpYJmKe4hsNaUVuJtrE8Fg0LjKaRZYlVS7Gv9EEIHEyuDtgohAp+lDqtAIgqw+GX0aNLCWJvALjmUiqBmixp9jnXzyyb77oPbDrf9g26T4VFPwStizCfYT+8CG57ur6KdMhUZ0B6Ho9nZ/iT6rVB5mPpLMo1I90HmqGeg81Rx0rmoGVT1P9vj2oSTGbeC3obB19n7HVarXXG0s0DiwqsYpXAXzROk4mf6yHtPVh97f2+n8Hq8xwp9mC+Cut2mf2/dSgVIB24jEhVoP29mzNGi0wpISXmJTaUR8SEJh/sOWIUhyK/RDoeKbLczPEcVvLCCUOvAvNRrUWvlRkF8goVBQ1qxeLQUF+RIKZcrq1atkccESCUcnns9qbWXVwpeQeWSedS6qLzpPNQOdp5qDzlXNoKrniZpyzoFyTb++TEoE5ocu5FDb6sZrGjpXNYNwDZ0nfk/yO5NEOO4cb9PRjU742zU13Uy7fW7fqyxY5gIblJvxZwWA2O0T4GYKSjAQFO6poATMezyCwUDsZgvwc8hsLNnZ2cYqw79Yrmh84UfW3CwJ5oekXv36kpW/VoKFWGwaSPOGzSQQ/Y+3NlWqevhyMses5apzUX3ReaoZ6DzVHHSuagZVPU80quKPVZIuyda1VyJ4/9BXqi86VzWDrBo2T/ye5Hd1s2bNSjT3S6dBao35bcuFIogXLFgQ9zpLP/gtybAhwWXgdR4kxSeiFPD8P5uYYED0keg/xJEQQjRKFd1tMLq9PQo/6x9cVY+dR52L6o3OU81A56nmoHNVM6jKeTJ/szh/8yiJs5N2fHScqjc6VzWDcA2dJ1cfen9np/M7vEb9V3nAgAFmKT938n755RfTiKQmohVAiqIoiqIoiqIoyoamRgn/yy67zDTn+/fff81zukLSLGHYsGFVfWqKoiiKoiiKoiiKUi2pVlZ/Gtvts88+snz5cvOcNUWpnX/ttdfM8x133FGefvpp83qdOnWMtWH06NFVth7iqFGjzMM2iVAURVEURVEURVHKtrx6u3btpDYxpxKvuVpl/GlsN3bsWPntt9+Mjf/777+PiX7LoYceKj/99JN8/fXX8uWXX8qWW25ZZed71llnycSJE9NaTlBRFEVRFEWpmbAWN0mqPffcU3bYYQc54ogjZPr06bH377jjDrNGOfW4//vf/xLup2/fvqYpV//+/c3fki78DUziK9Hn16xZIxdffLFJiPH5Pn36yN577y33339/3HaPPPKI7LTTTmab3XbbzWzH5/i8H+PGjTPbsrwfy2UPHjw49h6rQAwdOtQcc7vttjOrW3mXJuN4rFO+++67y/bbby8jRoyI2+add96Rfffd14xdv379zH5eeumlEtd+ww03mPc41nHHHWeO7VIR51LaPAJj4X1wbhUBS4hzj5DQ9DYtHz58uGyzzTbm3Jm/t956K/Y+K5ndfffdZj732GMPc/0XXXRRiTlFIzHGPJj3E044QZYuXep7Lugumt1dd911ca8zXoybPRfG8dFHH43rNP/444+b86Acu3fv3nLKKafI4sWLyzQmDz30kNx2220lerkdeOCB0rFjxxLbcz2cM9fI3DDfN998c9xKIcwp97Kdvz322MOUiP/www8pX2ci+L4wtnyGf9Gmlnfffde8xhzz+8Du77nnnpMOHTpI27ZtTSIbuOZUV5YrN2Gl3KxYscKs1tfntkfC2z3wSnjXa54OX33JTeHjPn48fNCYp8K3P3JfeOCHL4QPfu/x8Ekj7g9vedub4UOfeTz8wMW3hs8d/mR47yufDd/45Fvhb7/9NvzCCy+EJ0yYkPBYV/z8VviAL18Pvzvtm/AlP78ZPujrN8MfzxgfXrJ8QfiGiw43j6Kiokq9fqUkzMG8efN0Lqo5Ok81A52nmoPOVc2gqudp3bp14YkTJ5p/axpZWVnhjz/+2PzM+A0dOjTcrVu38Pr162PbfPHFF2a73Nzc8MKFC0vsg7/3eL9Dhw6+xxg7dmw4IyMj3LRp0/CaNWvCoVAo7v0TTjghPHDgwNgxeX/EiBHhzp07x7Z5+umnw23atDHzbPn888/DmZmZ4VmzZiW9xt133z08bNiwuNcOPPDA8CmnnGJ+5py23HLL8F133RV7f8yYMeFgMBj+5ZdfzPPly5eHO3bsGH7ggQdi23DOzzzzTOz5u+++Gw4EAuHff/899hr73HrrrcNr1641z0888URz7Io+l1TmkXFIFeZgypQp4bvvvrvUbVevXh3eZpttjHZ46qmn4t676qqrzLlyzsA1ZGdnh3/77Tfz/Ouvvw63bNkyNofLli0L9+jRI26+eK1+/frhe++9N3Z9hx12WPjwww8vcS6817dv33C9evXC1157bdx7jz/+eLhhw4bhmTNnmuf8y/P333/fPOccuMft/DF2AwYMSGvcLFxX7969w4WFhbHXRo8eHd5uu+3C++67r+935bnnngtvscUWsbGaPXu2GRv3OqZNmxY3NqFQKJyfnx/3nSrtOv2YPn262earr76KfWd5zuvusZljfh9Yxo0bF95xxx3NuVoKCgrMtX/zzTdl+p1pdSj/lka1yvjXPmpON0lFURRFUZTazsEHHywDBw40P1Nyeu6558rff/9tmk277LfffmYJrgceeKDEPu655x458sgjEx7jxRdflEsvvdRkNClp9ULm/KCDDoqtMEVWkWWmySS625AJJdtpIdtJ9jTdJRT/+OMPee+990xmGVhG+8wzz5Rbb701Vu76+++/mxW4yLoCK3GRSf/kk09i+7npppvk2GOPjT0nA0u2derUqeY5+2Kf7JuSXuCYHPvPP/+s0HNJdR7TYcaMGXLvvfeWut0111wjZ5xxRsLsO+fKOQPXwM+ff/65eU55M+e6ySabmOe4M0488UTjYLDX/99//8nq1atjzc+5PjLy7vVbKFnGPdC8eXPfc+nWrZtxnwD/8tzuB6f2SSedJFtvvbV5zv3IdeE2mDdvnqQD83n++eeb3m0W7lOc4Dg7/GCO+ZwdK+zyODe8LpLS+K2U6/SDee7Ro4fsuuuu5jlZfz5z3333JfwMc4jjhvvXtfZznVz7JZdcIhsaFf6KoiiKoiiKkgLeElS7hjYWbRcE2cknnywPPvigrFu3LvY6IheBtvnmm/vuv6CgwFiGsTAjDl5++eUS2yC4Pv3007geUwjlzz77LG4b7MzLli2L++ybb74ZFwxIBfZbv359I2wsiNNFixYZIQ5Y+LGh20DFzJkz5auvvpJWrVrFPoMV3AYduM4777zTiCcrUNkX+8Rqbdliiy2kXr165nor8lxSnceK5tdffzXzctppp/m+f9hhh5n555yBa+Da7LljR7/yyitLnDv29lAoZJ5TBt29e3fTBJ3ACmPBvLvXb2vLseoTiPCD4MjkyZNNIAX496+//ortp2XLliZw4D2XdMdx9uzZZkwou3AhWJGsjxvzTODBe/x05/DgUq7TD+5D9z6196G9T7189NFHcu2115oSD8bNC9f67bffyty5c2VDosK/CimuNNKF/RRFURRFqb0gUArz8yv94a0NT5fvvvvO1OvusssuJd4ji4fwfuaZZ+Ky/byeCIQeAoiaa1wBCAVv/TaikbpvMq3sz4pEF4IOCCoEMqtilSeTTbDCK4Js8GDatGnmXwQ84ubUU081opPABttcddVVvj2yWrRoYUQS14uQt8cB91i4GXhuj1PR51LaPJ533nkmm0tWnHFctWqVlBWEOdeOWE60hjy1+FdffbWZW4IeOEcOP/zwpA4Rzv2QQw4x94wVvwhTsuXUxnNdBEUIQrngHMApYd0VXgjIPPXUU+ZfxpR+AvQcwGGR7FwQwH41+Ymgpxvn3KZNm5Q/k+z43rFC1OOQ2XXXXU2w4PXXXy/3dSa6D+096MJ3lTp+VqZr2rSp7/6YIxwTjEWt6epf09Cu/oqiKIqiKOWnqKBA3rvnlko/7oHDL5fM7OwyfZbMIs38sPNb0eWC+CGDizhHrNOUjkwiTfjc7LzX5n/OOeeYn4855hjz2bfffts0ubPQYG6zzTYz72Hxv/DCC02wgOc9e/Y029DsD+FH0zLOEeGBqMFuj0hMBzLGtqzAYp/zHhBYIHNKlhlxReYSMdWwYcMS++NvZ6zSZEAR2ogdRJ/dl9+x7HsVfS7J5pGmbAhvzhXr/FFHHWXG9ZtvvomzpKcK+6f8wlrj/SADjxj/+eefpXPnzib7TIAEu74fiFos6TQ+txCc4DyZZ+afcWG/rr2c5nNcA+OTCIInNJgkOINbA7GLjT5RoICmfk888YTZdzosWLBAmjRpIuUFKz3BLjfAQ0CB7yFz2KpVKzNOjM2SJUvk7LPPLtN1JrsP7T3obVrIXOJySQYuIcZiQ6IZ/yrt6q81/oqiKIqiKDURxAJikBWnEoEonzJlihFDdO5O1umfzD617DvvvLN5jpWYbLVfzTKZYUQhdelkiBE0ZKURNBZE5scff2w6o3NsElWcq60XTxXq6L32afuc92wwAtFkhSQZTDLcZKv9wPJ/4403mm3oUu/uy+9Y9r0NcS6J5nHkyJGm8z/gSrj99ttl/PjxcePndotnrhlrdxUARDwgSB977LESnfNdcJ9Q5835IBSttf/DDz803eq9IPDpmWA7xVsQ3/QbwMKPs4BSCbLYOBdYMp0gBuUCpfUjuPzyy82YMJZAsAlRjP7xQqkBgSoCDYlq8hNBQCzdvhNeKFsgQ09vCzfAQxaechmbne/du7cpD7jlllvKdJ2WRPehvQe999HChQtl//33T7iiBhB08pbmVDSa8a9ogirmFUVRFEVR0iEjK8tk36viuGUB2zd/5CNek4EIQoDbZcrcJb+8IFoQcwhGC1lCMrpkU20DNsSltbd37drVLGd3wAEHmGOxfzK9bE8GEUGFrR4xiWsAUUMQgpriVOEz3kwk52DfA4IbXpt8p06djPhE2NGALT8/3/QesJDF5vztcoZ2XxzLNq+zz+17FXUu6c4jWDFO8zyyxoCrwop2XBwsZ2dfcxkzZowR4TgIXAgMsKQfgpmxQPh5bfKc+xtvvBGXyV6/fr2ZZ5rFDRo0KG57rh8HhZuRZh/0CqDxHtdLEAih7o4h58G5kwknSMJ+aJbnPZe77rrLOAgsBFWGDRtmrPJcf7pwn5aWDU8GwS7GgiUccWmUxmabbWZcIPTeIKuf6nV69+F3H9p70AWnDcEbXDmMK98/P4cQY5CoFKCi0Ix/RRIMag5fURRFURQlTRBFWO4r+5Go1joZiLVZs2bFOvZjy+aRCDLB2Nn5oz9ZZpPMPiIf8cXjiy++MHXBZFPp2m5BtHt7E9hmd7Zenm7nrv0byPxi97bbpAqChSwxAsnCvmlSZm3r7NfbyZ3n2MmtACXr7IVtyMgD+yJI4Y7lpEmTTJbUNgCsqHMpbR7J0FIW4c0qQ/v27SVd6LxPnb2dWxscIPDAzwSHCOxwfn7n7maSuR+oY+dhxTvNCm22mOvn/G2zP7sPYD8ELQi2uOdCIAkXCT9bZ0SicfRmtcmMMyasRAGUJth+DanAscua6SZQRv0+ZSM4GuDRRx+NK53BpeGdxxYtWsSs/Klepwv3ofc7z31o71Mv9AygwSLBIcbZr7cIY5CsoWBFoMK/CtGWfoqiKIqiKDUHLPPPP/+8qcOnlpw/9t3l5vxAmCBGaDaXCJbu40HW14XnNEtDwFioI8Z2bsUD/2Inxu7dp0+f2HZs464ogCCjJnzw4MFpXTOCmmUAyYAC+6RuGaFna8+xT5PVZmk0ez1Y2/mc7fSO2CSQYWEcKVUgWwwIc4SwuxICx2QftndBRZ1LafPIGFOCMH36dPOcDDmuAJoFpuOWSAfOn7Egy2yFMOfGtdiGdTa7TvAGazrnzePZZ581bgYgGED2mGu0504PA5aps2UkqcA4vvLKK7HmkZQPYJt3m+cxX9xT9LKw50KQym04OWTIENNIMBGcEzZ5yiHSAdcD3y0+T/DAHp/Mv4UAEfNIsAQ4L5wN7nKKqVwnJRVDhw6Na/o4YcIE0+8BcNowDrY/hx+UjTBP7Hv48OFx7xGAYs769u0rGxK1+iuKoiiKoihKCtlFspuIL6+AonkcIPARrth+Edhk+RB0ruinFhnrr60HR6ggMrAsk2V2l2ujFhlbMg+2xRFAnTgZXrqFI2QRqYh+t0M+YgaxS90/r2Gzx21Ao0C/zLsXb/M6BAsWcDKX7Auh54oXxCaZeVYTIFO6cuVKk1l2s+bUlPOca2IMcVtgeybbbWGfZPSx6nO+Xbp0MceuyHNJZR4Rkjg12BdZePbHuTDGNnhQVnAa0HvB/mwt9kCDRuaXjDLnzrmyjRXONKKzQSBv7weaRgJ2c86T+4gGhwhkstru/WHh2Dxcqz/ClOunjIA5wkZvxxHBbEsOEL62hIXglAtC2VKaIKYsAcFLYIpsuIUl/uh5QPDFfleYR/v9oJeBdSzYQJAXvlcEPejon5WVZeaRsWRuLaVdJzCGboNFvm+suMF+KF8hcMFz22uB+9r2ZWAVD77zNPg8+uijTSCK+w8X0BVXXGGCF1w757ihM/6BcHnXMVHMDUK9UJ87HpOCeo2k7vy10n/9HJk2oJWszMiQflNXyWebNpPconXS7Pd1Mj6rnXRtvVT2+Gup/FvYXCbVzZDdOjeUPbtHliuhPoV6ED+u/OVt+WN1kZzWvo2MW7pAJq8VObN9O9mhUUcZNSLShOLK215J2P1TqRz4jwk2K6xnOhfVF52nmoHOU81B56pmUNXzxB/R/L1DHW15RdRGv8RhYaERwGUpSUgVMo3cD7brO00FyU76NZRTqnauahoIYMQ7zoVk1nkapRMcQ+y7fSBqwzzl5+eb/hxPPvlkwqBcst+ZVofi+Ei0coVF/6tcDliOBIHujXIpiqIoiqIoSk2AmmcykYDrgLp6nAKKUl5ogEepQjLRD2gp+lJ4LfC1geHDh5trT8WJU17U6l8OsGnwsJGW9KkekSZFURRFURSldsLfsNigrXX+ggsuKNEpXlHKQrK+Fl5YdcIuwVibuOGGG6RZs2aVciwV/oqiKIqiKIpSS2nSpEnc2vSKUlVUlgCurdesVn9FURRFURRFURRF2YhR4V+FxLoqquNfURRFURRFURRF2UCo8K9SIopfdb+iKIqiKIqiKIqyoVDhryiKoiiKoiiKoigbMSr8FUVRFEVRFEVRFGUjRoV/ORg1apT06NHDrD2pKIqiKIqiKIqiJKawsFAWLlwotYkVK1bImjVrqvo0VPiXh7POOksmTpwoP/74Y/ma+ymKoiiKoijVnldffVX22Wcf2XPPPU3i54gjjpDp06fH3r/jjjukV69eEggE5H//+1/C/fTt21dyc3Olf//+5m9Jl3A4LJtuumnCzyMgLr74Ytlxxx3N5/v06SN777233H///XHbPfLII7LTTjuZbXbbbTezHZ9LJEDGjRtntm3cuLG0bt1aBg8eHCdchg4dao653XbbyfXXX2/O02X16tVy3nnnmWOx3RZbbCHPPPNMymPn5fDDDzfjmIhQKGSur2PHjiXe4xq4Fvfx7rvvxm3D+ey8887Sr18/M2fPP/983PvXXXeded3dhzsmpcE4c258zoVrZny95/fDDz/Etvn000/loIMOkgEDBph5GzRokPzxxx8ljrFy5Uo5+eSTE46T9xg8WDc+nfOFN99808yZndvhw4fL+vXrJV3mz58v++67ryxbtizudcaeZSWffvrpEp9JZSz85nuTTTaR448/PrbNwoUL5YQTTpDdd9/d3MNHHnlkqQEI7nHGi+257uOOO858FyxnnnmmGTP7XZ45c6Z5fciQIZKTk2M+xzUVFBTIgQceKH///bdUJZlVenQlioYAFEVRFEVRqjv84f/ee+/JwIEDjfBESCBEfv/9d/OHPsIagYTAffbZZ2XEiBHSokWLuH1899138tNPP0nbtm1l7NixJY7x1Vdfybx58+SNN96QkSNHSmZm/J/rZ599tnn/66+/NsdEnNx8881y7733yjnnnGO2QXAjzn/55RcjMuGLL74w54U4r1evXonjIoA5HwQMYsYVYYj+Vq1aGXG6du1aI4IaNGggF1xwQWwbRDHijPOAa665xlzrsGHDUho7l/fff18+++yzUp23U6ZMkUaNGpV4D8HuN7YWzoPzYnwIUPz333/mMy1btjRjZGH8/YRwKnD9rkh04br9RK7l9NNPl0svvVROPfVU8/yqq66SvfbaSyZMmBC7n3799Vc55ZRTpHPnzknPI9k4pHK+iFVEMuIfAZ6Xl2fE89VXX20CXanCfcqcc23dunUzryGIjznmGHNNy5cvL/NY+M339ttvL0cddZT5mfvtwAMPNHPNdllZWUa0H3bYYeZ7lIh77rnHfA+///57qVOnjpx00knmu2CDSA8++KAJEDGX7vH5bhO447tggzK33367HH300TJ+/HjJzs6WqkAz/lWK9vNXFEVRFEWpKRx88MFGuEIwGJRzzz3XCCMEpMt+++1nBPsDDzzgKyYQUol48cUXjdBZunSpjB49usT777zzjhFgViwjLBDgHTp0iNsGIW9FP+yxxx5G/HgDCaVBdhWhfNFFF5nndevWNaLp1ltvlaKiophQnzRpklxyySWxz5EVxh2b7tiReb7yyivlsssuS3hOc+bMkSeeeEJOO+00KQsEDRD4CEFAPO+///5y2223SUWAKMcRzDyVBUQrmXzL+eefL4sWLTLZbwsC/IMPPjD32oY837/++svMM2IbuO/I/H/yySdpHYN7eerUqXGuCYQ/c/jQQw+VayyeeuqpEuc8d+5cE2ABAlY//PCDueesECcAhsslkfDnmrnHudcR/cB3gO/Cn3/+mTC4wT2fkZEh9913X5wTg+to1qyZCQhWFSr8FUVRFEVRFCUFXnvttbjnWHytCPNajxErZATXrVsXex3hg6DYfPPNffePEEKIkEVs166dvPzyyyW2IVuI6LGiGxAmboacbRA6Xks1WVs3GJAK7Ld+/fqxLC3gakB8Wcs1+91ll12MoLdg3d5qq63SHjsyyWeccYZxGCQCAYcos4IsXbBke/ffpk0b+eabb+LGtSyQXUb8EVxIVqqQDObdHUu/scL2nu5cluV8d911V+OEsKUQBKQ+/PDDpPPjB5lzgk/uMQgiuQ6Lso5Fp06d4j6D4wWbPwIcrAW/lXPOzLd12PjBvc09jmC3ECjCLeMGHdxx5DvPWHFv+oEj5vXXX5eqQoW/oiiKoiiKopQBrOzYehG9XshMIrzdOney/byeLCtKDTxWZFwBZNK9NflkSN966y3Zeuutzf6sqHFBgMyePduIdTLn3qx6OhCs8Io8KzinTZsWy7A2bdrUOBUQiljBOTfEUDpjR+aZgEWyTD4ZV1wLNpubqJYcmzeZaTLVDz/8cNy5UMrgHTdcBIjJxYsXx1578sknjdWfc6Q0gJKA0sDlwRi4QQ8vkydPNtl1tuM6vEERv7EiyHHAAQdIupDZZj4YC+6FVatWpXW+CFnKRLCtd+nSxdTOU+6Rjs3fXsNmm22W9vmnOxYEbl544QVTVmCxfSBmOnPOfAPfk0T3Pbj3PkELntv73j0mpSwEBq699tqE546z5Ntvv5WqQoW/oiiKoiiKUqVgkQ0XhCr/4WlQlw6IRMQPwgmh7gWxQQ2xFcAEARDIiKxkNv9jjz3W/EztMwLr7bffjtuGZmNYmxG/WPw5Ds392LeF59Qc01yMc+zdu7dsueWWJfaVCpyDtwbfPuc94Noef/xx6dq1q3EsPPfcc+a6yd6nOnaMEbZqXBJuhtfbQPCKK64wtffJwFFB3wOyuTQ5xMJPUMJ1DOBksNnen3/+OVZWYTP+7du3l2233dZkd7kmssqMoxWMfiAiGYdk4o+MNXP22GOPmf3edNNNJtBBxt0P7lF6RbBd8+bNJR2ofaeE4csvvzRZeizq3Bv2GlM5X8Sy7Q3xzz//mM9Qv57uuSxYsMAEh8pDKmPBPDK+3bt3j3Oo9OnTR2655RZz77GyAPvg3kvk8LD3tt+9b99zA00vvfSScQgkAycQgRfXBVSZaHO/KkLb+SmKoiiKokQpDMuSFyZV+mGbDdlCJKtsdmzED1nlQw89NOE2F154oek8TzMwauCTdfons48wo9M8YDFGwCIoyCa6kM3kQXM7spvUE5PRRZhRRwzU+H/88cdGjGDFR4hzrgheLMepgh3ba8e3z3kPsFRjnba12IhmmrIhtBBqXgu539ixKgHnjJMhEQQS2K+1aScCp4SbZaU2G+FK0IRsMVl2rOc33nijEXFsw77pUYA4Axq5eY+Nc4DABKIROzfjax0QBDs4Btdsx8UPtnVLOAgm0KSPQIXbE8FC2QfjSc+EdHEDJJRr0GCuZ8+e8vnnn5sAAAGQ0s737rvvNmNmXRiId5waOCm4X1PtGUHjwHT7S5RlLGi0d+KJJ8a9xv334Ycfmt4RnDfXyza4SyhJ8cOOid+97x0vynIoT8FRgSOA770fNshFoKysZSrlQYW/oiiKoiiKoqQBf+Dzxz/CMRl0v0fM2qZxyTqI05CPbKDbRZ6af5qoYT+3GU6yi9ZqT4ad7v3YnjkW+z/kkEPM9ghYhBadzxHaBA+wWhOESEf48xmytS6cg30PrP3bhWaDZOg5F3dlg0Rjx3UiiOz122PwHNGKmEewkp231niWxmM7tiFIQvbaD4Q9md0ZM2bEMsFY7d1mdnfeeae5nkQimOAGmWRr9+c6bANCMtGc+2+//WacDNYGj6WfZe84P+4DgiCJzo9mdGSCXUFIoIHyBwI3FYFdAYBrIAOeyvkSXPIumYj7gW3prL/NNtukdGzuR+7nspLKWDAHODT87oMmTZoYVwXZfhuAwGGSqMTB3tvc+9zfFp77lSzgKCHIxsoe3O/uUoIWe/3ldT6UFRX+5YCbh0d5m4AoiqIoiqLUajIDkex7FRw3Xcj0zpo1y2R4ASFqM7d+kP0js42wTJbxJLOP+EXMWzE5ceJEk6FlzXlECiDaEVxuFt023kMgAxluMuOIOwtNychM2m1ShZ4DlBQgAO25sRwhtd82O08NOfXwLggkRLR1IJQ2dnSo98vcusuksfSfi99SajgacE+4oh57PuNlBRwim6CEvR7A9n/44YfHnpO9t0sTWvgczgo/WN4QQe3OC64MghPu+VHOgQDHCeKeH2LRFf3cDzSCI+DBfUPNOQ/bXb80WKOecgKy3O5xgKw552vr2JOdL/cMdfUuLCcJyZwCXghW0RiwLKQ6FjgpCII1bNiwxD7Gjh1r7lMLQQQ0XKJVEbi3mRPuUfvdxrXDvZVoDgigLFmyxDhfuO8ps3Dh+jk326CwstEa/3KAHYdfyCx/oSiKoiiKopQNxFIgK1j5jzS7rpN1pLv5OeecYxrmIYCTLe8FCNBHH300tg65HwgCHq4QBZ5Tn4xYtJBZx7Jt+xPwL5ZuMuyu0Gcbt5aYTChZWnc5tVRAALEM4F133WWes0+WXyPDaWvxcRRg5bbrm69cudIEArA/223KMnZlgcACAsw6EBhXBDwZWBv0oMEaf8fbhn+MDV3cydZauBZ7PUAWmYyutwQgXQigYJ8n82xr6Fma0AZ2AIGLmwDRTu8GxmrMmDFm+blU4fo5DkIeELm4LHA8pOP4IBiA3sEqb+ef8UQMWwcBJSZ8l5IJexok/vvvv5Iu6YyFn83fcvbZZ8d6OuBquPzyy01vA5t9Jyiy6aabxgJQODw4rrsyB98BvgsE4/xgDLhPCCYcccQRJRr5cf3JenxsaDTjryiKoiiKoiilgA3fikVbh+9dRxyBj1DAfo7AxpaM8HVFPwIPEWUt6jSfo4M/mUJqx90MLfXXZJl5sC2OALLcWN3p7E/mEIGH6KepmRW2iFOyvWSneS0/P99kSmnuR8O/0rDLoFlYexzhRJaafdG00K2zJvvPufEa58wYkT2nEV+qY+fCtbpWf2ryra0eeO/oo4+Os/rbvgc4FAgssHQc40Nmn8yr22gQqzbBCYIalFAg/igjcN0JzAUBFcQz10xTNwIEbtO4RGChZ/UG1zrP+XMdzDWBCQQgNd9kkBk3dzwRr5RIeAW624SPgAHBDHecsK3TK8Fm2HGb0CSSc+c4dOXnPvFmnJOdL4Kde42SEvoQMJ4IX9wbNqjD5ygHSGZh556hTwD3gNu8ke8DgQVgn4h3+lbgNEh1LOw5EJhxS2VcBg4caL4X9CcgWMb9wz1tITCCwHfLEZgTrpcx4PvD+PFdSPRd5j3cFK+88oo5HgEAGizy3bDLcCYKTFQGgXB52pkqBn5xNGrUSPrc8ZgU1Gskdeevlf7r58i0Aa1kZUaG9Ju6Sj7btJnkFq2TZr+vk/FZ7aRL66XS/68VMrWwiUyuF5RdN2ske3aPLA/BDdKjRw/fY135y9vyx+oiOa19Gxm3dIFMXityZvt2skOjjjJqRKQhyJW3vZKwG6pSOfBLDYsV/yHUuai+6DzVDHSeag46VzWDqp4nhAV/71AnXFWW15oAf6LbeuSyrgefCggd7gcrtGgqSBd3RJ5SveaqOkKzO4IsNCgszQ1B/wky4UOGDJHaNk/jxo0zgZhvvvkm7SaHyX5nWh2K48avxMFF/6usKIqiKIqiKLUULM5kPwHXAXXMierYFcUL9wzOg1RKIChpoA6fHhW1iYULF5oyC5wA5V3ZoDyo1V9RFEVRFEVRailkC7GcWxs/jfyweCtKKmCdp5FkKlBKweoVZKdrE3Xr1jX9LLD7VyUq/KsBtcsQpCiKoiiKolQXWOaM+nZFqQwoL+Keq03UT3MljQ2FWv0VRVEURVEURVEUZSNGhb+iKIqiKIqiKIqibMSo8K9iAqKLKiiKoiiKoiiKoigbDhX+iqIoiqIoiqIoirIRo8K/itHGfoqiKIqiKIqiKMqGRIV/ORg1apT06NFDdthhh3LsRa3+iqIoiqIoiqIoyoZDhX85OOuss2TixIny448/pv9h1fuKoiiKoiiKotQiFi1aJAUFBVKbmDNnjlQHVPgriqIoiqIoSgq8+uqrss8++8iee+5pHJ9HHHGETJ8+Pfb+HXfcIb169ZJAICD/+9//Eu6nb9++kpubK/379zdJJJdwOCybbrppws+vWbNGLr74Ytlxxx3N5/v06SN777233H///XHbPfLII7LTTjuZbXbbbTezHZ/j836MGzfObNu4cWNp3bq1DB482Lw+e/ZsueCCC2TXXXeV3XffXbbbbjuzby9chz3W9ttvL2+++WaJbd566y0zbnZfEyZMiL23du1aufvuu83n99hjD3Ociy66qMT5cn4cx328++67aZ1L9+7dS+xj8803N9tbnnrqKRkwYIDstddeZux23nln+eSTTyQVkXfAAQfILrvsYq7h4Ycfjnv/6aef9j1+fn6+eb+wsFAef/xxMwYcv3fv3nLKKafI4sWLSxzrn3/+MfcSn/ejtLEieXn00Ueb1/v162fm5csvv0x4bQ888IC5t8eOHStl4ZtvvpEhQ4bEvcZ1X3bZZZKZmRn3XUpnLP744w8ZOHCgmSfGnXt3xowZsffZ7+mnn26ukfncaqut5Oyzzzb3XFnncubMmWbc+B537NhRzjzzTPP6n3/+Kdtss43UrVvXvD9//nz56quv5KSTTpJQKCRVSlgpNytWrCB/H+5zx2Ph3g++Gt71mqfDV19yU/i4jx8PHzTmqfDtj9wXHvjhC+GD33s8fNKI+8Nb3vZm+JCnHw+PvPiu8PnDHw8PvOrp8I1PvhX+9ttvwy+88EJ4woQJCY91xc9vhQ/48vXwu9O+CV/y85vhg75+M/zxjPHhJcsXhG+46HDzKCoqqtTrV0rCHMybN0/nopqj81Qz0HmqOehc1Qyqep7WrVsXnjhxovm3ppGVlRX++OOPzc+M39ChQ8PdunULr1+/PrbNF198YbbLzc0NL1y4sMQ++HuP9zt06OB7jLFjx4YzMjLCTZs2Da9ZsyYcCoXi3j/hhBPCAwcOjB2T90eMGBHu3LlzbJunn3463KZNGzPPls8//zycmZkZnjVrVtJr3H333cPDhg2LPb/xxhvDAwYMiM3Xn3/+Gc7JyQk/9dRTsW1WrlwZbteuXfj55583z//+++9w/fr1w+PHj49tw88NGjQIT5kyxTx/5plnzGf4LHz99dfhli1bxs5v2bJl4R49esSdiz2/ZKRyLn77OOyww8IPPPBA7Hn37t3DX375Zez5fffdZ6570aJFJT7LHOTn54cLCwvDvXr1MvMBzH+rVq3Cb7zxRmxbxs0dOy9cP/fO77//bp4zz4y/95yfffbZcJ8+fcK77LJLwjEpbaz23HPP8BVXXBF7/uijj5pj8/30MmfOnHD79u2N5uEeT5fFixeHN9tss/Ds2bNjr02bNs1cw/HHH2/2y/N0x4Kx33TTTcPDhw+PvcbP22+/fez5Sy+9ZL4zeXl5Zp64tzp16hS+8MILE54v3+/S5hL4Hl977bWx53znuCbvGJ199tnhW2+9NVzRvzOtDuXf0tCMv6IoiqIoiqKkwMEHH2wyixAMBuXcc8+Vv//+W3755Ze47fbbbz+TwSRD6uWee+6RI488MuExXnzxRbn00ktl6dKlMnr06BLvv/POO3LQQQdJTk6OeU4Glox8hw4d4rYhu0nm3kLW9MADDzTnlQ5t27Y1TgEym9CzZ0+TNX3ppZfisuNkM4899ljzvGvXrrLvvvvKbbfdFtvm1ltvlf3331+6dOlinh933HEmo0sGHBo0aGDGc5NNNollq0888UTjsigqKkr5fFM5F7ZxYazHjBkT+wxwXq4DgOxtXl6ecUAk4v333zcuhvPOO888b9GihRx//PFy0003pXz+2dnZJju89dZbm+fM8xlnnGEy8fPmzYtt16xZM/MaToWy0q1bNzn//PNjz8mmc3+8/fbbJbY955xz5IorrijzsXDDcA+2a9cu9trq1avlueeeM/Nc1rFg7mbNmmXuSQs///TTT7Js2bLY3D3yyCOSlZVlnjdq1Ei23XZb+ffffyt0Lrk3+G7iXPG6MC655BK5/vrrZdWqVVJVqPCvcrTYX1EURVEUpSbw2muvxT23YhhB6IJoPfnkk+XBBx+UdevWxV6fOnWqEbGJxBq1z19//bVcd911RiC9/PLLvmLo008/jRPDderUkc8++yxumx9++CEmfCxY3t1gQCogvAYNGlTiut1r5tjYsAlCWLD0u+fEz9juLQRO+AzXAtijr7zyyhLHITiQjkU6lXPp1KlT3GcIYhAcaNKkSew1yiQslBvce++9RrhiE092bMR0/fr1445NYMg7F4lo2bKlaSBe2n1GcIl5Lg8cB0FrYcwQ1977+b333jOi2Qa9ysIbb7xhSmRcCCIlC1ykMhYEQBDZfFe4V3jwc7169cwDuOc7OIGx8ePHm7KDZOU46c4l3+1DDz3UlANQFuKF8h2CWh988IFUFSr8q5iACn9FURRFUWo51LUjeiv7wXHLw3fffWcy4tQAeyGTikB45pln4rL9bobVCxl+xBEiC1cAWUdvjftpp51mauXJgrI/ao29EHQg+4hwoX7a60goD4wZwsl1LSB6WrVqFbcdYmvFihUmI7tkyRJZuXKl7zbTpk1LOr6HHHJILFML1EwfddRRJhtPZheh5QYGSjsXP8juJ8o6c3wE6MKFC824Z2RkJDxfrsXv2PY9C/NKzTquDMbx119/TbhPOw6ITmrJ06G0sfLrGcA9e/jhh8de4/4jIMO9VlaoySe7vtlmm0l58RsL+hZw3ghrHjgWuFZvYOSDDz4wK7LhPMGNQ7AnEYnuI/Des1OmTDFjhpOEXgCJ6Ny5s3z77bdSVaTn9VEURVEURVGUCoYsnTebXhnQnM8VlelAxhH7MgLCbx8Ik8MOO8wIJsQ6wvOvv/4yTfjc7LPX5o+lGo455hjzWUQMtnjLDTfcYAQU72Hxv/DCC02wgOdkUIFmfzRgGzFihDlHbO4IHmzKCNnygLhBEHFNFpqk2dIDi33OezbA4rdNogZrkydPNs30sGy7kCG++eabjYj677//jKDlX64zlXNp2rRpiUaACGTGzA/GH9cGFnMaEiLcaNzmB/u3GWm/YwNjR7kDrg7eYzxxF+DQoDGkn2h+4oknSjQwTIXSxsrLjTfeaJre2fsIrr76atMYr02bNiWa76XKggULzL/esU8Xv7HA+YK9now6ln8g2OZ1dQCCH9cCY03ZDvM6dOhQKetcWl5//XUTZCitWSBOIDsWVYFm/BVFURRFURQlTbAJk03F3psIRDnZQIQKGchk1mIyq3QEtzZhbPEIN7eW3nLCCSfI77//bvoLIMwQx2R1yaxbyCZ//PHHRtRybAQS5/r555+X+Zrpnk4Qgcy32ysAIey1h9vnvGeFst82fiKaOmjq7an/di3aNluOkAX+pfM/QQ9bUlHaufhl+6ndpvQgEZRSELAhGGH7A+DcsJ3yrYsjlWOTZb7llltiIhKnAWUOfmKcgBgBIAI4rOKQLqWNlQvXRRf7O++8M/YaThHcHQj/8kDQC9LtL5HKWFCGQJCLMSUAZ0sSCIYR5PCjb9++5rvI9zMR6dxH9KawTgK+k4ng3FIt+dgQaMZfURRFURRFqVIQBGTfq+K4ZQH7PH/8kyFNBgIFAW4by1G/nwga8iF43aZglCOQ9SbT2bx5c/MaQt5ajmlcR8MwlhzjWOyfjD7bk13k+qjhRuTgGsApQBACm3m6YH1mH4h+sqsu7NebyeQ8aaJms7z87LeN1/69fv16cw00FPT2FvADQUtQg+XbWCYvlXOx8LkXXnihxBJ2OBQQmq6Tg+aD9F2wyy+OHDmyxPZkmb/44osSxwa/DLR7DV6RiiV/2LBhJktP072KwDtWboCAZfMIFLnXjDWeIIG9X5gbINDB/cVnUmkuyLb2fi4LycaCwBr3uds0kPuT6+S6aM7HcTM933Wuf9GiRebh9jmwcB95g2SJ5pI+AB9++KFZDpHlPnGFuOdj4TzK63ooD5rxryK0sl9RFEVRFKW4qZjN1lXmw20Alyp0p8dSbDv2//zzz+aRCLKK33//vakBThZoILOPyCd7yQMBifBCUNLZ3oII8/YmoJYfbCMyMrteizyNzhAjbrOyVJk7d65ZG/3JJ580mU149NFHY++TXSU77J4Xx3c7rXPe7jixLZ9xt+FaqXnnQXYXKAGxWVJKJLyWd7LUzKNdDSCVc7Ew3ohhr3hFGHudHAhJRCI9HRLBscn40q3ePTbNBm3jwMsvv7yEJZxraN++fdxrZ511lnmNFR6AJogEX1IllbEC7jWCR2TOCW4w1rbsBjcJY2nvSdtskqAHz1NdUcAGqhL1WCiNZGPBPc19Q7DLwjzxms3Mn3rqqSW+o6wKgJU/kRBPZS5dCMxxP3Hf4Tjwy+xz/d6+AZWJCv8qR0MAiqIoiqIoNQEs888//7ypw0cQIQQQTFj0E0H9MSIZ8ZEIBAEPMvguPKeRGbX/FkTj7bffHhO2/IsQwxLfp0+f2HZs41q6EUtY1RHw6UD5AFlMWwvNNfOwy/BZuzqC0gpDmsR99NFHZgkz1yVBIMMuoUamnUZ5ZHLdrC6BCcSVPc6zzz4bs4oTcMESb4UzY0a3faz6NqCRyrmk0tQP4eyKRQI+iH/KOxKB1XvLLbc0ZQGAGOX83WXwaE5HnbqFZQTJENNDwB0r5ooeEXYcCP74NXJMRCpj9eOPP8qQIUPkmmuuMUKa44wbNy7tzvOPPfZYbMk9PxDXZNiTLZ+XiNLGgjFHTLulEsxVw4YN4xwj99xzT8xxQACEFTcYC9us8aGHHpItttgi5mpIZS694DSgQSfOAD7vDfBw/bgCqgq1+lcx6ceZFUVRFEVRlMoGGz6ZRwSqd7kuW/eNwEdQ8Ic/Apvl86gdd0X/mWeeaWzBbGPXFyfDjcCm+Z67pB11y2TbebAtGUWawpGRxXJPxhJxgehHcFhBxxJ8iDHq/nktPz8/tj57sq7jFrdzPSKK9cxxEbi4tfdkijk+12aXMERUu7XY/MxrRx99tKmZZ1z4DJ8FxLkNcHj7GljxZbP5LKvHtZONRWCRmU7nXGD58uVG3Lsi3M1Q26Z2nCu13ewXkZ4sy824EQjic6z0wLER1W6wBSHL9SBeCdpwPzEvXBMw1rY0hKCPC30PLGTzWS8eUYxY5f4gOMOKDqmOFWPEvUVwysUGY1yw9+NcsT8j5G1whXMo7b5CuBN8chtVcl8SVGIugHsD8WwdB6mMBWUEzAuBHQJfjCf3PPeALUlhPu6++24zJ4wF32XGCveFhTlmvuyqB6XNJYEHAgd8j7m/WPWB+43gAd9vxp8x4Tz5HCsBUIKSbCWBDU0gXN51TBSzPAl1Q33ueEwK6jWSuvPXSv/1c2TagFayMiND+k1dJZ9t2kxyi9ZJs9/XyfisdrJ5q6Wyx4QVMrOwvkyolyP9Nmske3ZvZW4KOnpaG5WXK395W/5YXSSntW8j45YukMlrRc5s3052aNRRRo04K7LNba8kbVCibHj4pcEvAJZ/0bmovug81Qx0nmoOOlc1g6qeJ0QKf+9QJ+vtmq1IibpxBHtZShJShSwo94OtSaapIGKMbvBK9Zqr6ghlEQTCEN9kyBOBawPxjiBP1u9gY52nU045xTRxtKt2VNTvTKtDGV9cDsnQ/yqXg1GjRhmB7o1ApYfGXRRFURRFUZSqAdszmVbAdTBp0iTjFFCUVKApIU6NZKIfEKc4BChpINNfm3jmmWeMC4GlEqsStfqXA+xePGykRVEURVEURVFqEvwNS6ND1pJHkF1wwQUpddNXFEhnhQis75Q41DZH2AEHHOBbPlHZqPCvYmqXGUhRFEVRFEWpTtCh3LtsmaJsKEqzo2+MNGvWTKoDtSvcoiiKoiiKoiiKoii1DBX+VY7W+CuKoiiKoiiKoigbDhX+iqIoiqIoiqIoirIRo8JfURRFURRFURRFUTZiVPhXMdrcT1EURVEURVEURdmQqPCvcrTGX1EURVEURVGUjZ9FixZJQUGB1Cbmzp0r4XDVaz4V/oqiKIqiKIqSAqxBvs8++8iee+4pO+ywgxxxxBEyffr02Pt33HGH9OrVSwKBgPzvf/9LuJ++fftKbm6u9O/fXyZOnBj3HgJh0003Tfj5NWvWyMUXXyw77rij+XyfPn1k7733lvvvvz9uu0ceeUR22mkns81uu+1mtuNzfN6PcePGmW0bN24srVu3lsGDB8feW7FihQwdOtQck7XYr7/++oRC5rfffpOsrCy57rrr4l7/6quvzD45xq677ipbbbWV3HvvvXHbrFq1Ss477zzZeeedzbEGDhwo//33X9w2+fn5Zpvtt99eevfuLeeee655zcvo0aNlk002KXEeFsbdjg37evPNN0tsw34vu+wyyczMjJvnRCxdutQcr1+/fmbf2267rdx8881SWFgY24b9nH766bLLLruYbXr27Clnn322rF27NrbN008/Ld27dzfvuw/3Op966ikZMGCA7LXXXmZuGbNPPvkk7bHiurmXGQfGfPjw4bJ+/fq05i1VvvnmGxkyZEjKY8y4Pf7447LHHnuYa+UaTjnlFFm8eHHcdn/88Ye5VxgHxpXznTFjRux95qRXr15mP4wX/zJHfE+nTp2a8HyT3fect9/3hcAG37uMjAzZfffdzffh33//lUMOOSThd6+yyKzSoyuKoiiKoihKDeG4446T9957z4iMUCgkJ5xwggwaNEh+//13ycnJMcIaEUVw4Nlnn5URI0ZIixYt4vbx3XffyU8//SRt27aVsWPHljgGQmvevHnyxhtvyMiRI40gckEk8v7XX39tjokQQVwixs455xyzzTPPPGNEyi+//GJECXzxxRfmvBCC9erVK3FchBDng5jp2LGjEZ8WxE+rVq3khx9+MAIVIdSgQQO54IIL4vbBmJx11lnmvLy8+OKLRnxdc8015jljhpjq3LmzHHDAAeY1xnPlypVmDAge3HrrrWasJ0yYENvnRRddJFOmTJHx48eb54w/r913332xYzEOjFGizDIBBsbitttuM0KU/SEqCRRwbYAIPeaYY6Rr165SVFQkqfDhhx+a4BBz3KhRI5kzZ465RkSiDUB8//33Zt+MNdeIuCRAQCDozjvvjO0LMcx4JOL22283wR0EOxD4Oeigg2T27NnSvHnzlMbq77//liOPPNKIfz6bl5dnxOrVV19tglipzlsqLFmyRI4//vjY3KYyxvPnzzdzyflvvfXW5vz2228/Ofzww2PfHe5/zoPX7r77bvMa9yXPf/zxx9i+Ro4caa6NYALfqQ8++MB8RzbbbLOE55zsvs/Ozvb9vtSpU0caNmwoL7zwghx99NGxfXEujP1DDz0kVYVm/KuKaJBUa/wVRVEURVFqBgcffLARohAMBk0GFfGEwHZBnCAuHnjggRL7uOeee4zYSgRC69JLLzXZY7LWXt555x0j0qwQJmuJEOnQoUPcNgh5K/qBLOeBBx5YIpBQGmRTCXYgWqBu3bpy5plnGlHuFWujRo0yQtQKTxfGimyyZZtttjHZUrKhVuQhQNm3FYYEKcjIIqateHz44YfNfsio8uBnXmO8LGSHX3/9dSPC/CBbTpDi2GOPNc8Rnvvuu68JBFhWr14tzz33nJx44okpj1WzZs3MOCH6oV27dsYV8tJLL8W2QSgi2O01si3C345DqiA0rei3+0UYI/xTHau//vrLzCFZcOCeYp+uc6C0eUsVAgncg4xJqmOMuD7ppJOM6Lfnd8YZZ8iXX35pAjvAtcyaNSt2DcDPBNeWLVtmnnNP7bDDDiXGL9ncpnPfWwjiEIQg+OWKfuC8+W7/888/UlWo8K9yqr7eQ1EURVEURSmd1157Le45WVpAcLkgjE4++WR58MEHZd26dbHXEbGIhs0339x3/2SoyeSTHUYgvfzyy75i6NNPP40THwjczz77LG4bspRW+FgQ1m4wIBXYb/369aVbt26x1xBRWJoRRxay29iybWbYS48ePUy2FBDdjz32mBFyCGOYOXOm+ZcMq3tdCGOyxMC/jBHWdfdceA0xaDn00ENLvSYy/ARN3P24Y4gFP9E8JYLgAULVe4+49wfj7wZpyGZjgU9WGuIHdnILFnIcHwhrrPipjhXW/ZYtW8rzzz8fE9G4Ftw5KG3eUgUHCyUyLqWNMedGMCnZd45gC0EPvitk83nwM64W62xhP/UclwvXyXfIBn7Kc99bCLQg+i+//HJj6/dC4IA5YxyqChX+iqIoiqIoSpWCXbeoKK/SH+VtuIWlG8s+dcVezj//fCO8sd272X5eTwQZfsQR2WBcAe+//36JuuDTTjtN3nrrLZMFZX9WMLsQdCDzi2jBMu51JKQDwQpXCIINHkybNi0uM0w2NFGW3UL5Q5s2bYz1msyyzQBjlwb3erh2sqg2i8254FhA7FkopSCb7Z5LWa+JY7nOgYqAe8TP4YHVHKcB7hCcIQQNXJh7nAs4N/j8r7/+6rt/RCbCduHChea+YCxSHSs+RwkIQYMuXbqYUgcs7dbmn8q8pQI1+TgEktnq0xlPBLi9X+Ddd9813zXOn8fbb79tnA0EwPx46aWXzHgToCvvfQ8LFiww83jjjTfGHEF+UB7x7bffSlWhNf6KoiiKoihKlRIK5ctff51d6cft2fMBycgoWY+eCmQcEUiINmvbdkGYHHbYYUacI9YRlVirqcV2M8suWIFtnT61z3wWEUNvAcsNN9xgBBTvYfG/8MILTbCA52RQgWZ/1B8j1jhHLOxkbm+66SbfbGQyEILemn373DakQ3ghKL3i1Y+rrrpKrrzySnn00UdNzTXnSZYaEXrUUUeZOm32Q50014p4te4Gjucn5njNbY5X3mtq2rSpVASff/65CVpwzV72339/80AIUrqBM4SackBwIsRxfnBelCaQLcbFQb29C/cHn8VKzniyP7LLqYwVQRZ6HeDS4B4l6EFG369UI9G8pQLCGMo7rgQQnnjiCXO/Wbg3GD8aYmL5B4JtnTp1SrifZ6P9N8p731v4PuOGoHdEMgg0lCcIV140468oiqIoiqIoaYI1G6GazFaOKKe5GkKFDGQyOzfZ7T///NN0Zwcs2tig3fpwC03faLJGfwEasVHPTG02dmMLmeKPP/7Y1M5zbAQS54oYTQdEpLeUwT7nPeq0EYTpdHq3qx7QuR5xb0HgUp+N8Me2jgDmupo0aRI7nl8Hf17jvYq6plSgRtx22+dcvVD6QE04/RYIYiRb4YGx4F6xcP233HJLTGhSi05tvV8mHnBZEFCaPHmyGcNUx4ogC59F9FthjoOFOXBXIiht3kqDoBek21/ChfMhGIZgtw0YgTp8ghCMFwE4HmTdCYZ5V4SwqznwnXB7ApT3HsGRwZzx+4DVMRLBuXnLbyoTzfhXOVrjryiKoihK7SYYzDbZ96o4blnAPs8f/1h7k4FAQYDbpnHU7ycCgUjGECFpoR4bWzWZTpuFRbRYyzFWcTqTU1vMsdg/GX22J7uI0MLejVjDNYBTgCAEFvJU4TM2Y2vhHOx7WK8JKiDK3PcRxggyViGgwzqC05uBRkDS5d6CCGWFApcnn3wyNiYcDwFIgMNa2Km55vjp2MgTXRP9BFLNShN8sV33KRlxhTLnxzzQxM+boWdOmRe3vwDjwHXw8K4C4drErZC1x3OdJtThY7+3y0OmMlYEpVzLPJApJ4DASgoEG1KZt9KwlvpEqyyUBtn0YcOGGbHOcn4uXAPj6ZYekP3nOimXoEGkN9t//PHHm+ac5bnvXTg+DSgJONBAk/4Kfm4Irr+i3CRlQTP+VYx29VcURVEUpbaDCMJyX9kPV3ylCnXsWIptx/6ff/7ZPBJBJheRhPhNlvEks4/IRyzzoPaaOnDEm+1qD4h2b28C24CMZmRAJ3JcAC40N0Mc2W1ShcwpWX0EloV9Y82nzwBlBYhNe948CEwgivmZ6waa6XmhMzsZZgvj5K4hj1DF1WDXSCf7j9h1x5tz4TW3w30q14Tl2h1H9lNaFjgVCN5gPb/22muNJR6wx1tOPfXUEvcL40DTOisKaRDntZPjIGjfvr35mTXqvU4ThC7jZcczlbHifrDd8d1zcbPaqcxbadhAVVn7J9Aln2tntQugMR81+PYa+I4Q7LIwDrzmzcwXFRWZxn/JlklM9b73QtAK9wGNGwkAsFShF67f2zegMlHhX+Voxl9RFEVRFKUmgGWeDujU4SMcEQL8sY9FPxGIQIQfgi8RCAIeZPBdeE4jM2r/LQhC1nC3opV/abiG4OjTp09sO7ZxVxRALJHJtSI6VRA5ZDHvuusu85x9shY5Iqy0rKlXELPKgYXO8gQ63C742LhtkIMsL8cgw0t/AiBzffrpp5vr5X0e/Mxr6WRSsc4T9LGrJrDE2kcffSSXXHKJlAeCFsw35RqIXe4PHmT+XejHYLPfCHrGhSy0bcyHi4JadsuYMWNM7T51/G5duSvq7TJz2M1THSsEMEEbOvnbuaVkA7GPwyDVeaMvgJ8YtnA8XALpLgFo3TXct/TLsOPJPWKbQNInATHtlkEwFv9v70zgbCr/P/4Y+14hITtRFJWijUIoWqQoZSulTVFpI/KjVOqXlOqH388SaUNF0WKpVKRERdpQSERpMMYyc/6v91PP/Z97587MnfXeO/N5v17X3HPuuec853nOuc7nuz0VKlQwnTp1CtrXu+++a8/LnZsfogMwLvz666/Zvu6JGCG9BiMAtRMwQPjh/JlJIVoo1F8IIYQQQohMQADheURAuTx8h8urRuAjkggJRmAzfR4iwS/6yftGaLGNm9OdHGFCsim+R768g7xlhAgvtkW4UPCNaQWp4I6XGEMAop8ZAZw3H1GGGMOzyzrCtYk2oBDcKaeckum5OgHqD48mZJ8Cc+wLEeaf291BeD8vf6g/4hoRTAg/bcJwQp+QL4249acI4CEnd9wJZaIJQgvjIfCGDBkSmJedHPnQ3Hf2QS0DfzsQcM57TVg8/cVYuCkX2c6fO855It52795tl5mXnRDy0Ckd/XA+LurBCcZQEN7k1tNuBGJiYqIt6oeX3y92ydlH4GLY4Zpj7FwtAfqT2g7si33Ql5wTBgL/9HiZ9RWzUXAdkS7C+ODhpkAkwtmJ20jGDWGe2XXFNYPxyV+oMrM+Jt3Apcm4c3C4qfhII+C8Mdpg+KKvuOYZX/YVeh336dMnbPtoC9eBf5rMjK571/bVq1cHDGpuukzaQ9/SZqr9c43x+7Fy5Uo75WW0KOLldB4TYW9YLDytxk4yh8pWNGV+SzLnJm81G9tWNYlFi5qzN+wxi2pWMqVS9ptKa/abFcVrmAZH/2HOW/eX+fVwCbOmbHlzdr2Kpl3jqnZ6CHKBnGUzlKGrXjdf7U0xN9SqZpb9sd2sTzLm5lo1zGkV65gJo2/5e5tHX86SBVbkPvzoMK0K4UAai9hF4xQfaJziB41VfBDtccIryvMOucRuTm6RFpfHHZoPntvgeeZ6cDnSFBVE0ITm2ovoj1UsQtoBhjDEbpMmTTIs8IcQRpBnVHG/oI7T6NGjbWG/9AxC2f3NdDqU/s2oiCTof+UcMGHCBCvQQy1QQgghhBBCxAOEmuNpBaIOvv322yzly4vCDQUHSUXJSPQD4pToD9IVws02UJBZtGiRva+ibUxTqH8OINyLl7O0CCGEEEIIEU/wDEvBNxfOfMcdd6TJjRYiPbIyQwTpAKQvFLaIsObNm5uZM2dGuxkS/tFHmRZCCCGEECI6HHnkkTYfXoj8ILNw9IKIm04x2hQuc0sMUriygIQQQgghhBBC5DcS/kIIIYQQQgghRAFGwj/KyOMvhBBCCCGEECIvkfAXQgghhBBCCCEKMBL+UUfF/YQQQgghhBBC5B0S/lFHwl8IIYQQQghR8Pn999/NoUOHTGFi69atJhaQ8BdCCCGEECICmIO8Q4cOpl27dua0004zV1xxhdm0aVPg87Fjx9o5u4sUKWIGDBiQ7n7OPPNMU6pUKXPuueeadevWBX3meZ6pWbNmut/ft2+fGTJkiDn99NPt91u1amXOP/988/TTTwdt95///Me0bNnSbtO6dWu7Hd/j++FYtmyZ3faII44wxxxzjLnssssCn/3111+mV69e9pjMxT5y5EjbznCsXr3aFC9e3Dz44INB6z/88EO7T45xzjnnmBNPPNE89dRTQdvs2bPH3H777eaMM86wx+rYsaP56aefgrY5ePCg3aZFixbm1FNPNbfddptdF8o777xjjj322DTtcNDvrm/Y15w5c9Jsw37vvfdeU6xYsaBxTo8//vjDHu/ss8+2+z755JPNww8/bA4fPhzYhv3ceOON5qyzzrLbNG3a1Nx6660mKSkpsM3UqVNN48aN7ef+l/88p0yZYtq2bWvat29vx5Y+e/fdd7PcV5w31zL9QJ8PHjzYJCcnZ2ncIuXjjz82V199dcR9TL9NnjzZnHfeefZcOYf+/fubnTt3Bm23YcMGc+mll9r2nXTSSeaGG25Ic51v3brVXHTRRaZNmzZ2P88//3ym7eU7Xbp0sWPFde//zi+//GL7hPu4Tp065uabb7brv/76a9OsWTNTpkwZ+/lvv/1m+/Daa681qampJqp4Isf89ddf/PJ5rcZO8k599hXvnOFTvQfufsi7ZuFk7+L3pniP/We81/Htmd4l8yZ7145+2mvy6BzvkimTvXFDnvDuHTzO6zhsqjfqf3O9Tz75xJs5c6a3du3adI91/xdzvS4fvOa9ufFj7+4v5ngXfzTHW/jzCm/X7u3ev+663L5SUlLy9fxFWhiDbdu2aSxiHI1TfKBxih80VvFBtMdp//793rp16+zfeKN48eLewoUL7Xv6r1evXl6jRo285OTkwDZLliyx25UqVcrbsWNHmn3wvMfntWvXDnuMpUuXekWLFvWOOuoob9++fV5qamrQ53379vU6duwYOCafjx492qtfv35gm6lTp3rVqlWz4+xYvHixV6xYMW/z5s0ZnmObNm28Pn36BK276KKLvP79+9v3tKlJkybeE088kea79MmZZ57plS1b1hsxYkTQZwMGDPBGjhwZWF69erWXkJDgzZs3L7Dusssu89q3b+8dPHjQLo8ZM8ael79/Bw4caM//8OHD9sX2rPNz6623et26dfOOPvroNO2AxMREr0aNGt6MGTPs8nfffeeVK1fOW7FiRWCbjRs3eq1atfJ69+5tn/NZTg/GgDZPnz7dO/74473du3fb9Vu2bEnThlmzZtn2u3Nk27p163p33nlnYJspU6bYV0Y0btzY++CDDwLL48eP90qWLOn9/vvvEffV+vXr7bX2xhtv2GX6uWXLlt5dd92VpXGLhJ07d3r16tWzfRJpH3Otch+tWbMm0L62bdvaa9SxZ88eey8NHz7cLh86dMjr3Lmzd/XVVwddl82bN/dGjRpl+3379u1e1apVvdmzZ6fbXvcd7i3gXg73HY7tH1/uOc6J34HQa/KRRx7xcvs30+lQ/maGPP5CCCGEEEJEwCWXXGK90JCQkGA9qN99951ZtWpV0HYXXnih9WA+88wzafbx5JNPmu7du6d7jBdffNHcc8891nuM1zqUN954w1x88cWmZMmSdpnogjvuuMPUrl07aBu8znjuHXhN8XjSrqzw1VdfmXnz5pm77rrLLuPJxLv5yCOPmJSUlKBtJ0yYYD3HlStXTrMf+gpvsgOvKNEFP/74o13GM4r3mX0TMQB4q/HmEmkBu3btsl5X9lO0aFH74j3r6C8H3uHXXnvNlC5dOuw54S3H+9qzZ0+7fNxxx5kLLrjAPProo4Ft9u7da1544QXTr1+/iPuqUqVKtp8qVqxol2vUqGGjQmbNmhXYBi8w0RjuHNmWyADXD5FCVAB97d/vgQMHzJYtWyLuq2+++caOIVEDwDXFPv2RA5mNW6QQDcM1SJ9E2sclSpSwnnK8+K59N910k/nggw/Mtm3b7Lr58+ebn3/+2QwaNMguc30TQcF9hFfebbN27Vp7PUGVKlVM7969zUMPPZRue7PzHfqee/Pf//63HQ8/d999t42UIaolWkj4RxlN5yeEEEIIER+8+uqrQcuE+QKCyw/C6LrrrjPPPvus2b9/f2A9Ihah1aBBg7D7J/f5o48+suHiCKSXXnoprBh6//33g0Q3AnfRokVB23z22Wfmzz//DPouwtpvDIgE9luuXDnTqFGjwDpCw8nVxijgD4smLHv48OFh93PCCSeY8uXL2/eI7kmTJlkhhzAGJ9KqVq0adF4IY0Klgb/0EaHr/rawDjHo6Nq1a6bnRLg3RhP/fvx9SAh+euOUHhgPEKqh14j/+qD//UaaFStW2BD4jFJDwkEah4OwdsLvEdaE4kfaV4TGH3300WbGjBl2GYPA22+/HTQGmY1bpMyePdumyPjJrI9pG8akjO45rhuMKEceeWRgm2rVqtlUFO4lYFwbNWpkr2N/X2CwC71HHFn9Dvc21x2GFdIuQiF9h9STt956y0QLCf+oo+J+QgghhBDxyKeffmqqV69uc4BDwQOJQJg2bVqQt995JsOBhx9xhJAhKgCvY2iuMvnLc+fOtV5Q9ucEsx+MDngfES7kT4dGJGQFBI1fCIIzHmzcuDHIM0wUQHpedsfo0aOtMBs3bpz1LDsPMHnS4D8fzp36As6LTVvw6OJZd+CJxZvtb0t2z4lj+SMHcusaCRfhgQAk0oDoECJDMBr4YeyJXCByg+9/+eWXYfdPbjsCeceOHfa6oC8i7Su+t2TJEms0aNiwoRWm1BrAOx/puEUCOflECNSrV8/kRn8iwN31wl+MGUSMhBbT8183VSO4hv1k5Tvff/+9ufzyy20kCbUA0qN+/frmk08+MdFCwj/KyOMvhBBCiMIO3rnklNR8f6VXoC4S8DgikBBtLmzbD4KkW7duVpzjKcUIQGg1Xtb0IDzZhZ9fddVVVoS9/vrrQdv861//sgIDUUeIP8ehuB/7drC8dOlSK0JoI97tJk2apNlXJNAGl1bgcMuuIN2bb75pBWWoeA3HsGHDrEjDUEChNYqhORHao0cPGyaNAGdsOFfO00U3cDyiGUJhnb84Xm6cU26wePFiKz4551A6d+5sBSNpFBT7I+TdgeBEiC9YsMAWXaRf8fBTODEUxhRhfdRRR9n+dO2PpK8wslCsknD2H374wbaVyINwqRrpjVskbN++3f6ljTmB8/zvf/8blEJD+gr3AGH03GcYi7jnSMXxXzclszjeWfkOaSWMZWbXDpFAri+iQdaSfIQQQgghhMhlDqR65vq1mVdNz20mNaljShXNnhsGgYRQzSis/M4777SCDWH87bffZhjOjWBBTLkwYUK0CYMmP/yaa64J2rZv3772hdiYOXOmGT9+vM3NRrw5Dy+e4oULF9qQfEL8EUO0lRBmPMmRQk5/aCqDW+Yz8rSHDh2apqJ8RrhZD6ZPn27FvUuhwKAxatQoK3QRqORLc14ujJvjhavgzzo+y61zijTHnpfjvffeC/ocrzP1Cqi3UKFChQxneKAvuFaYOQE4f78RhRx40kYw4jDeoRBlwawOePTpw1tuuSWivsLIwneJInHCnAgWcv65FkPrQaQ3bpmBIQeyWl8itMI/xjAiD5h9wH/uhPRzDRJ5Q1oCBjEMX/7rZr8v5SaS8c7KdzCGkFqBMQdDjT8txg8GQn9kQn4j4R91FOovhBBCCBFPED7Pwz8iNSMQKAhwVzTO5RyHA4FI4S9/UTBCmBHUeDqdFxbh4EKOCRXH08mUYxyL/RP6zfZ4FxFaiEHEGsYDQq0xQmRF+POdUC+lEy98Rug1nlVEmf9zRDHii0JrhEEjOEM90ExZt3z58iARx/R3fv73v/8F+oTjIQApXOcMHBg2OH5WwsjTOyfqCUTqlXbGFyA6wT9lH+1jHCjix/SOfhhTxsVfX4B+4Dx4MV7phYm7qQ3d8fyRJghewu/d9JCR9BWGIxcy76hbt65Zv369LWxHIb9Ixi0zuBbduWcHPPl9+vSxBgmm8wuFFAV/Sg3XP+fu6h1wvosXLw57DXO+4cjKd6gDQG0EonmIoCCcP1wqBOef06iHnCDhL4QQQgghokrJhCLW+x6N42YV8tg3b94cCM3+4osv7F/C6cOBJxdP++OPP56hxxPPPiIfMe/EHSKOAmhUtXfzhCPaEWV+4eg8jK4QGZXlCR9nfndH2bJlrRjxFyuLBGoO4EFFJLq2ff755zY0nzoDhFQ7selATCKKKVLooH9Cw8OpzI6H2YGYRCi7Am4IVWZNYB55wPuP2KXPEViuLazzV7iP5JwwxtDHrh/Zj6tunxMw3hCpMGLECBsSDxMnTgx41a+//nprDPEX3aMfOGcnCu+77z7zwAMPBHmWiSCoVauWfU8Ve/ZBHQAHgp7+cv0ZSV9xPWC48eOq5btjRzJumeEMVdmtn0AEA+fObBdAcUuEuTNgYGDyG8zwvtM+Fz3DeD/33HM2OsVdW/QF5+YvCujH/x13z2T0HQxz3L9EHTDzB0a40O04f4wm0UI5/kIIIYQQIqogvkoVTcj3l188RwIVu6mAPnDgQFswDyFAjnZG+c6IQIQfgi89EAS8nLB2sEwhM3L/HeQRP/bYY4H6BPyl4BqV4v1Cn238ocqIJTy5TkRHCuKePOonnnjCLrNPBBEiDNGfFUFMuLqDyvIIJX8VfMK43dR9eHk5Bh5eKssDnmsMGpwvn/PiPeuy4kkldJ6xd7MmkCJBPj1TruWE5ORkO94ITsQu1wcvPP9+SLtw3m8EPf3CVHGuMB9inFx2fxoBXmSmsnOQsuGMTuCmVyT9JNK+wjiD0QZvtRtbCv0hbokwiHTcqPTvptwLB8dD8GZ1CkAXXcN1S70M159cI/4ikFzTbt+7d++2kThcr64/CcFv0qSJTYdwEQGkK9x///2BfXBNH3/88XYMI/1OuMr9FOgkMoDvh+b808aManzkNfL4CyGEEEIIkQkIIDyPCKjQ6brIqwYEPiKJB3/ECLn1iGO/6Mdzj9BiGzenO1XbCclmjnBylR1jxowxv/76q32xLYILLzq51VRwx3uJuED0IzicZxJRhhjDs8s6wrWJNqAQXEZVxx1OMDkQPHiYqVfAvhBh/rndQ/Pe/aH+iGtEMCH8tAnDCX1CvjTi1p8igIec3HEnlClSGFoYjzz3IUOGWIOIy5EPrULPPgjT9rcDIeiiMgiLp78YCzflItv5c8c5TzzlCEm48sorrbDLKK+d8+FY7njhQHiTW0+7SW1ITEy0uf14+f1iF8GJwMWwwzXH2DFdH9CfRASwL/ZBX3JOGAj80+Nl1ld4p7mOSBdhfPBuE2GCEcEZdSIZN4R5ZtcV1wzGJ3+9isz6mMgWlybjzsHhimACHnZehPzTX/SfM4C463neP0UUucYQ90w76TeCcV5cB/R16HfoJz7zfwfDA8Yad40xqwLXEsYD7m8iBugT2sn3mAmA9JJICmDmFUW8nJQzFRZuWHKCWo2dZA6VrWjK/JZkzk3eaja2rWoSixY1Z2/YYxbVrGRKpew3ldbsNyuK1zANjv7DnLfuL7PjcBHzRdmjzNn1Kpp2javai4IQJ2fZDGXoqtfNV3tTzA21qpllf2w365OMublWDXNaxTpmwuhb/t7m0ZezZIEVuQ8/GvwAEAansYhdNE7xgcYpftBYxQfRHiceunneIU/Whd2KtLg87tB88NwGzzPXg8tJJgQdMRaaay+iP1axCGkHGMIwOuAhz6jAH+Idg0t6efUFeZz69+9vayYQLZSbv5lOh9K/GRWRBP2vLIQQQgghRCGFUHM8rUDUAbMPZCVfXhRuKDhIKkpGoh8Qp0R/kK4QbraBgsy0adNs5A1RM9FEof5CCCGEEEIUUhBkFHxzYfwU8uvUqVO0myXihKzMEEHoO+kLhS0irEuXLnZWgmgj4S+EEEIIIUQhhcrjodOWCZFXZBaOXhCp9M90itGmcJlbhBBCCCGEEEKIQoaEvxBCCCGEEEIIUYCR8BdCCCGEEEIIIQowEv5CCCGEEEIIIUQBptAV99uwYYO58847TcmSJe2UEn4ee+wx88cff9g5Ho899thszbMohBBCCCGEEELEEoVO+K9YscJOUbJkyZKg9V9++aV59dVXzcqVK+1y8+bNTfv27c3xxx8fpZYKIYQQQgghhBAFMNSf+UPvvfdeU6xYMbNp06Y0n8+dO9ecdtpp5pxzzjFt2rQxa9euzdL+r7rqKuvtD+XHH380NWvWDCzz/oMPPsjmWQghhBBCCCGE8LNv3z7z119/mcLEr7/+aiPKo01MCX+EPmJ+27ZtJiUlJc3nn332menTp4958cUXzUcffWSuu+4607FjR7Nnz57ANi1atLDe+tAXHZ4RfA8jAoYHXl9//bVJTEzMk/MUQgghhBDxxyuvvGI6dOhg2rVrZx1RV1xxRZCjauzYsfa5s0iRImbAgAHp7ufMM880pUqVMueee65Zt25d0GcIBBxQ6X0f4TRkyBBz+umn2++3atXKnH/++ebpp58O2u4///mPadmypd2mdevWdju+x/fDsWzZMrvtEUccYY455hhz2WWXBX1OVOwJJ5xg+vbtm+a79MGNN95ozjrrLLuPpk2bmltvvdUkJSUFtnn//ffNxRdfbNq2bWvbQgTuV199lWZfq1atMhdccIE577zzTKNGjexf18ek5D744IPm7LPPtsc5+eSTzcMPP2wOHz4ctI/Fixfbc8ZReNJJJ5knnngiTR+PHj3aNGvWzGoPdMDEiRPTtAUtgN5gPCMFUdurVy87PqeccooZOXJkGtHHmLtx4dhz5swJ+vyNN96wfcB1xrmyn1mzZgVt8/PPP5tu3brZ65D9cA2gXxy7du2y6c1ca/Qh/UC7fv/99zRtnjFjhjnyyCPN1KlTMzy3+fPn277IbLv0WL9+vbnooovMoUOHAutSU1PNv//9b1O6dGmzdOnSLN9zsGPHDqsRuf64Jrp3727XObZs2WLuuOMO20/s59RTT7X3R07GEr0Y7n6hf7nvihYtaq+t1atXWwfzpZdemu69VyhD/ffu3WteeOEFOzjTp09P8/kjjzxiOnfubBo2bGiXr7nmGnP33Xfbi8/l43/++efZOnbdunXtD+aoUaPMUUcdZQesVq1aOTwjIYQQQghRUODZc968edbxhGBBBCNg16xZYyNKEdaIE4QKz7KIyypVqgTt49NPP7XPq9WrVw8rdD788EPrBJs9e7YZN26cjYL1g6Dmc5xgHBMhgvh96qmnAs/D06ZNsyIFEY0oAdJcadftt99uypYtm+a4CEzag5ipU6dOkLh79NFHzXvvvZeuAF6+fLkVY3y/ePHiVjAhwDBuPP7443YbDAP33HOPuf766+3ysGHDbFotjjfXRwhDBNI777xj020xHCDSfvvtN9umt99+2wpB+rBixYpm69atVpAhwjAIuPRdxufdd9+1ghchxj7Yvn///nab//3vf9ZI880331gjy+bNm62xokaNGlZruP2wff369bNwhRgrFKtWrWodlrQf0Vi+fHkrPAGHJeNAn1599dXm+++/t+2jvhjbwnPPPWd69uxpevfubZe55i655BLTpEkTK+DdtchxSGNOSEiw43/hhRdakcl18cMPP1hjy8cff2zKlStnDhw4YPvjpptuMq+99prdBwKcaGj6f/fu3RmeF6KVMcsuHL9Hjx7mv//9r6lcubJd9+eff5rLL7/c9nFycnK27jnWYUzgesF4xTXKOWIU4R4BruU1a9bYa4L7ieuM+5TvhzNkRTKWJUqUCHu/YMCoUKGCmTlzprnyyiuDDGd33XWXHdtoEVMef264Bg0apPv5okWLrFXMwUXOjcJFnRtwESL8Bw8ebG9Kbh4hhBBCCCEA8YUAcc+ht912m/nuu++swPbDMyQC45lnnkmzjyeffNJ6JNODyFYEMt5tBHAoeIPxnLvUVYQOQqR27dpB2yDknegHRB8CKdSQEAmIKoR/qBHDgfjBg4roB0Q2wh8R6uAZHu+5Y9CgQVaU+5/jEZYIPVdjq0yZMlboN27c2C5XqlTJiif2Dwh1PMB+bzjtIDKB8wXajIgeM2ZMYBu8sEQTuDRf/rKMMPQL1bfeeitLeoAIBkQqbXTtv/nmm63z0kUzT5kyxYpV2gTHHXec9e5jCHA89NBDgc9d/2LgoUi5/xyInuA6BDz+OE9dBAl9+PLLL1vRD1wvZ5xxRtCYIPxvuOGGiMTo8OHDraDOLpw3Y+HXchgTOO/7778/2/ccopwXBi1nmOI9RgAn/DGyDRkyxBqinObE6BQaRZHVsQwFg1eXLl3MLbfcEiT6gb7j3sYgEy1iyuOfEYSrEG6D1cUPP2iuIF8kcAMziHT6+PHj7cXjYDCxwHEz3nfffdZaEw5+CHg5Mk0JiCCng024od2LNoTdzvy9Lxtm8s9uU//Z3h0lve+K/MOORwbjKGIDjVN8oHGKHzRW8UG0x8kd373iCUSov81OfOOtdOv5S/jvtddea5599lkr4vECAsIN0YCHE2ESev4IMcQKog6vPTNQ4QH3b4enEbGMYCOcGBA0rHPbsQ1eeIwHhHA7iCJwbcwM/zYYDNL7DNzzuVuPFxpPM551t86JLLcc2nd47Qklp56Xf/+INPc9PL2hx2c/PJe7db/88ottj38b9AJ9jzDGWIDhhP6lnwn3xxuM9x+R6b5H9K//WJn1GZ/jpERoI+bd9ghdDBwcA2MI2+C49O+TbYjacMtEMbjPuSaITsCYQZi62waPNikChLgjSgnXRxhjHGEbdAwvtz1imb5F47h1XJcYDPznGO48iX5AXNMOIjeyc+9y7WGo8H+PseDlQvfD7Teze46UBzj66KMD2zmDF/XaMID169cvaJzcPUO0eXrnwf2U2Vj62blzp+natasZOnSoNVSE7pe+5poi2oJ6dlnBrw9Df7ez8jseN8Lf5QiFFuZj2Z8/lBmE77gQnlD4gYwELIaET6Ury62ITzWpHv+xFTWp/6znlZoafGOxyKf82HHx8RdrkT8vxc+hg4dMamqC2bd3rzl06KBJTS1m9u7dY3Ye2mW8fwae7zrrn4gO3ISMI2OssYhdNE7xgcYpftBYxQfRHieEDG0gL9vlZlvhdzj/DREliiVkKX87FMQt3kQe6N25IOw5P0LyJ0yYYD2diHQgl5n15KBDaG46oex4qmkTIdCTJk2yIdjOawt4zRGJhHxjXEBshKanIgYRGHjKeY9XPFSopIcTGKFty+wz1348pBgcOHdEZXrbYvhADCHm2YbwawQ8wgpjB8+ziFiEqguBDwdh/4hgdxz6grQG/3EJ5QdEIkYBPOj0Le0j4pdwe+oBME6h7XXCKr3zcP3CuONNZ//+bV1YO5+deOKJ5qeffrLn498GT7h7/ifl2IGDEoMJoh+jCGLVfe/555+3XmRSBBD427dvt6kl1apVC9o3nnGumY0bN1oNQ2h7eucSbmxZhweb6BXn6c7oGshonNI7tv/eyWy/ofeci9rg/BD/4IwBjLt/f94/48RfjFOkjKd3PMYps7F0+yQVhcgQ7kvy+tPbJ6nltD+rfcf29DmOcBdV4/DXuiswwh9LFvg97W7ZfZZf8APk8nScx//vi66Isf91FCHsKsEkFOE/E/Ip/l7PKyHh7/9c+EHnlcBfU8RaZvlR5y/hS+7CDaX4r8VNwsFUU7ZcOVP8YJJJOGxMuXLlTeUKlUyRf/7z5rt64Iou3JyMLz/kGovYReMUH2ic4geNVXwQ7XHCU8fDKiHnLuz8wKEUc9sra/K9Lc/2PNmULPa31zyr8AyKkKdGlPPoA154+pX0VQQpEaZ4SRF2rqiby+0PDbvHu4lhgPXkf5O3TbQq7x2IO/ZN/j/hy4gXPMG0xXnH3dTVhIyznjx7xCPfRVRnhH0+TUgImxKQ0WeAJ53XJ598Yr3nOLTIkw4FsUTINO1x3lknYMjVxzBC6gJ50xhC8DjT/lDYjjx/wtBdm4jgJY+cviRcHk8/U3Y72G7BggVWzC5cuNB639kGgU3+dui5uXskkhQJrm2ckv5tXT0FrhfW79+/3wp4/zZOy9Bf/vVEjHD9jBgxwl43iGeEPWD0QXAS4cAxMPSEHhswMlD079tvv7XOT3QLXulwhBtbju8KDGa0XUYQ0s+L35xw33PruHcy2m+4e45Ckbwee+wxO+bsg/cIZH7rwu3vhRdesKKe+zK94zFOmY2luye4DjkWzuiM2k/0DVEmWU23YXsXzeHSFRyhyxnux8QJnCiCGGuWHy74evXq5WtbuAjCTQmYLhFYktnEGQPcj2rY7f42Lfxtnf5ntwn/bO+Owns9cEUfN44ai9hG4xQfaJziB41VfBDNcbLPLL5nnn8aFHiOyVf8bcgiiAaKlYVWv3f74y9V1fFMkmaK8KJSv/+8/cdGGCHQqMLuwooR+AhS8t79ELrMC081RcQQZ3gaSWXlmRnwYCNs8aATEk5tAdpKqDkh15l3Tfr9klmfUV2dc8X77wrU+UHc45n3O9KcGMJQQLE0d554qclBD62XgOBHvFPPwOX8A5EQGFb4HlEHCGWOh9cbbzptJ6ecSAmXb07qBR5jjC6TJ08Oe66h54zhgv4FjBeISQQ8otC/LWLeiUbWsw3rMtrGDwIWAwn7ZwwJt0c8EtpP1ATGCsDQwtjTJoR6KBhOOG/OkX7zp4D4z9V/fFIj6A+84/71odtlhkuL5lzCfc/fxxntN9w9x/ZEmlAfAiMRBgGuG1IT3Hj7DU5ff/21NQwQyh/qPffDWGQ2lg5qdmDYI6+fOhHh+h9w8FLQMKu/OX59GPqbnZXf8LgR/sCP1BdffBE0eISvpGe1EkIIIYQQsU/JYglmwtWnROW42YEcXQQcRaEzAm8rIsAVbnPFxsKBgMXrjWfXnxaBkCB/2IUZ4/RyXnLyj0k/paAYx2L/ePTZnjoDiGm8rIhwjAc4y958882IhH9WoJ0cyy9oSDPA6MDLXxSQEHU8+KFT2BGyDuR8+8Hzjyj3Q8gz50khP6ZPDGd4IDTegTccz6grIo7BhPSH0DBspv0LFf4ZXQMuVxtNQjg2/RvOSQnOUZneNhgvXJg/AhOR6Bd3jLUr3Ef7wRlIAKck1wW59FxztCdUKDIm7JtQdaraZ4abySG0wCFGD6IxMEikJ3L9cC2Cfxq/3LznMGJg5HEwHkR+uHB8x4YNG2y6AdeeSxFIj0jG0sG1T7QBuf3Uw2BmjtBju/P3p3LkN3FljmfACXdy1SixcBLOQe6SEEIIIYSITxAXpYoXzfdXdrz9iB5yh50HGqeU3zEVCl5/6kiRs59RiC+efUQ+3mpehOrz3IuAQ1Q4QgukARXpwdUCwNMeOsU1XkpEtb9eQG7BFH2hfcCUg4htv9DhHBHhnA99gRBzVf0R/ggqvucH8eWvYYBxhHQCwt+JcoCJEycGPqcmAh5xPwgxPOLOw0s/hB6H5ZymD5NyQc0uJ8yBcSAN103DxzY4Lv1jyDZUmXf4w+r97SO33bXfrXOQu06NAHcOiPJQ44rb3u0nM/CcU93eXZMuRQVNxvtIRD/QJiITqP2QHTK750KnxcSwRH/4DRa//vqrTb2htoNLG/FfN9kZSz9EGhDZg6EKA4ArWOiH8w8tVF9ohT8WKKycTO8BhEv4rXFYMrEusZ7wJQaOaU5ciEt+g2WJCycSi5kQQgghhIhv8FYTYj1w4EAr3hACPOwTPpweiFQEhpu/PhwIAl54df2wzHMm04A5yCMmVNlfiZ18fwQHuc4OtiFP2YHApoBeaGpCbkEYuvPoEoZPfjph/m7mATzwCEYidamgT9/hUSZc3cHnhLQTDg2kJbgUCZdDT38yLR3ebfbBC8+/Awchuf1uXnjGBgHs9xSTH89Ud+THu2JwzKCQ0TSLkYAgxONL5ADQ/6QpMLOD87wjpjE4cTwgPYOaA9RqcODZx+jj4JqjKr9zdqKJmjRpYo/jig/S3xzPP76sI4XEGURIE2AGs9CoipzCOKY3G5o/CsM/lWBu3nOkL2DcAcademwYhpzRiQiRDh06BFJm3HWDrnRwfWJgwkAQ6ViGQtQGqRYYATge0S5+OH80bLSIqVB/QlpCLTahkI/DKxYgP4YXeSv+3CIhhBBCCFGwwNPMcx9CC+Hph8r9gMBHbBESjABDcCIS/KKfEGRyktkGhxeiFcGJOKEYnz+FlTx1hAgvtiUigHx1itUxNRsedQwBiH6cYc6bj7DFQda6dWu7zhWNe/3118N6k0NxYt3BeWF8wJOO8YC2UFjQzZRF7jVF16hPgOjh2ZhcfQSYA8FLCkJomgECzUE/8V3274QkQsqF81O0z3menSALBY8sL75Dfj8h8AjFhg0bBrah7Yhv0gXwRnNMKuSTJ+7AKIDhwoV30ybCtykslxHTp0+3QpTaDvQ7XubBgwcHPsdhyVhxHTixjgD1z1xAUUeuBcbfFeMkRcN52IlcwDDAeXAcF0lCuoibKpBrCoMGQpNrgOsX8f2vf/0rqL20w6UQuBB+oqpDjQP+mgZuO6fbuCYyu67oBwS8v4+B+8SJbZy/pAVg8OEajOSeAzzsXF+0mW1xEjMG/ravXbvW9pcf7hsHY8VYuJkLMhtLlhH37p5w9zsGKQwh9DVGO6IOGGfOhSnoI00lyQuKePE2gWoM4oR/q7GTzKGyFU2Z35LMuclbzca2VU1i0aLm7A17zKKalUyplP2m0pr9ZkXxGqbB0X+Y89b9ZXYcLmK+KHuUObteRdOucVWbw8QPVbjKpTB01evmq70p5oZa1cyyP7ab9UnG3FyrhjmtYh0zYfQtf2/z6MsqqhRl+NEh3EozLMQ2Gqf4QOMUP2is4oNojxMeOZ53yKnOSkXqwobLGw/Nnc9t8NJzPTihR8E7BA1Tk4nYGqtYhOgMjBZ4w/3pCuGuMwxDRKcgigvbOI0ePdr2VXoGq+z+ZjodSnHBzKIu9L+yEEIIIYQQhRTC8vGQAlEHhNYTKSBEpNcPRqKMRL+LUqC2AxEHGJoKE4v+SVmJtjEtpkL9hRBCCCGEEPkH3kJEmQtnZoq9Tp06RbtZIk5o2rSpfUUCHmvSLty0eIWF5s2b2/SJaCPhL4QQQgghRCGFqdAWL14c7WaIQgI13fxTFRYGKlWqZGIBhfrnAFX1F0IIIYQQQggR60j45wCqTFIFkwqNQgghhBBCCCFELCLhL4QQQggh8h03/7gQQoi8/61Ujr8QQgghhMg3yO9lGkHm7q5SpYpdLmxToEVCYZ4iLt7QWMUHXpyNE+2lEOLvv/9ufzNzWhtBwl8IIYQQQuQbPMBS3Xvbtm1W/Iv0H/rx9NFf8SBSCjMaq/jAi9NxKlOmjKlVq5Ztd06Q8BdCCCGEEPkKniseZPG+paSkRLs5MQkCZdeuXbYieE4f+EXeorGKD1LjcJyKFi2aaxEKEv5CCCGEECLf4UGW+eN5ifAihb4pVapU3IiUworGKj5ILeTjVPjOOBfRdH5CCCGEEEIIIWIdCf8coOn8hBBCCCGEEELEOhL+QgghhBBCCCFEAUY5/rlUIRIOJ+83KQnFzeED+82BA8nm4L795lDRoiZ5/35zOCnJHEpJNgfZJiXJHEzab5IPJJsDh4uYw8X2m+Sk4mbfvn0mKSnJ7N271yQmJoY91oG9SebQvhSzL3Hv3+/3G7Nvz16TWGSPST5wyG7Ddwtj3kqs5RDt2bOn0OYQxQsap/hA4xQ/aKziA41TfKBxih80VvFBagEcJ6cZnR7NiCJeJFuJDNmyZYupWbNmtJshhBBCCCGEEKKQsXnzZnPsscdmuI2Efy5Zj5iHtnz58nk+JyRWHYwMDG6FChXy9Fgi+2ic4gONU3ygcYofNFbxgcYpPtA4xQ8aq/ggsQCOE1KeKIbq1atnGsWgUP9cgE7OzMKS23CxFpQLtiCjcYoPNE7xgcYpftBYxQcap/hA4xQ/aKzigwoFbJwqVqwY0XYFI7lBCCGEEEIIIYQQYZHwF0IIIYQQQgghCjAS/nFGyZIlzYgRI+xfEbtonOIDjVN8oHGKHzRW8YHGKT7QOMUPGqv4oGQhHycV9xNCCCGEEEIIIQow8vgLIYQQQgghhBAFGAl/IYQQQgghhBCiACPhL4QQQgghhBBCFGAk/GOQuXPnmtNOO82cc845pk2bNmbt2rXpbnvgwAEzePBg06xZM7tty5Yt7fdF3nPw4EFz7733mmLFiplNmzZluv2yZctMq1at7Djx96OPPsqXdhZ2sjJO77//vrn44otN27Zt7Rh16tTJfPXVV/nW1sJMVu8nx/z5802RIkXM1KlT87R9InvjtGPHDtO3b19z7rnnmubNm9vXggUL8qWthZ2sjBXlnkaPHh14lmjRooWZOHFivrW1sPLKK6+YDh06mHbt2tnnviuuuCLTscrKM6KI3lhlZ2xFzslJvz/zzDP2eWLp0qWmwEJxPxE7rFixwitfvrz3/fff2+Vp06Z5NWrU8BITE8NuP2zYMK9OnTre7t277fKqVau8EiVKeKtXr87Xdhc2Nm7c6LVq1crr3bs3xTHtckZs2rTJq1Chgvfhhx/a5aVLl9pl1ovYGaf69et7EydODCwPHTrUq1Klirdjx458aG3hJavj5Ni7d6/XrFkz+50pU6bkeTsLO1kdp+TkZK9p06berFmzAuv47pgxY/KhtYWbrI7V5MmT7f9Jv/zyi13mL8vz58/PpxYXTooXL+4tXLjQvk9JSfF69erlNWrUyN47ufGMKKI3VlndXuQO2e33rVu3erVq1bK/l0uWLPEKKvL4xxiPPPKI6dy5s2nYsKFdvuaaa8zhw4fT9WatXr3aWrQqVqxol08++WT7fvHixfna7sLG3r17zQsvvGD69esX0fZPPfWUOeGEE6yFHrDSN2rUyIwfPz6PW1q4yeo44eW67rrrAsuDBg0yv//+u40EELEzTo7hw4ebm266Kc/aJXI2TpMmTTLly5c3V155ZWDdmDFjrAdGxNZY8SzB/0k1a9a0y/xl+d13383jlhZuLrnkEtOxY0f7PiEhwdx2223mu+++M6tWrcqVZ0QRvbHK6vYid8huvw8cONDcf//9pqAj4R9jLFq0yIoPBxftqaeemq7w6Natmw0Z/+WXX+zyO++8Y4VK1apV863NhZGmTZuaBg0aZHtcAYONBGVsjdNLL71k7zlHqVKlAik1InbGCb788kvz2WefmRtuuCHP2iVyNk5z5swxrVu3DlpXvXp1U79+/TxoncjJWPGwvH79erNmzRq7zN9vvvlGzxJ5zKuvvhq0nNn/OVl9RhTRG6usbi9yh+z0+7x580zx4sUDBoOCTLFoN0D8P7t27TKJiYlp/qM95phjzMqVK8N+h9zJpKQkc9JJJ5lq1aqZ77//3lx++eWme/fu+dRqEQkbNmxI4+ViXDdu3Bi1NonM+fTTT03p0qVNly5dot0U4SM1NdXccsst5vnnn7f5eCI2QTgS3XTjjTear7/+2pQsWdL+n9W7d+9oN02E0L59ezNlyhT7t0qVKtZDhtHm5ptvjnbTCt3/ORjHzjrrrFx5RhTRGavc2F7kDpn1+759+8zQoUOt47QwGGUk/GMIBDzwcOSHZfdZKJMnT7ahX1988YX1omClx/Lr91qK6MP4ZWVcRfRxxa4eeughU7ly5Wg3R4QU4Dn77LOtwVPELn/++acN7cebgpGGQpmMGw9X119/fbSbJ3xQcHHAgAH24RcPMsbqWbNmWcOnyB+4L8aOHWt/3/A+5sYzoojOWOV0e5E7RNLvDzzwgDVO4zwtDMUXpQ5jiDJlyti/oRYnlt1nocLk7rvvtv9Zu9BJKvK+/fbb5uGHH86nVotIYPwiHVcRGzz44IOmVq1adtYMETts2bLF5o4zPiK2KVq0qJ1p5vzzz7fLGGrI96fmiYgt7rvvPtO1a1cr+qFevXpW/BNZI/IHnuV69OhhxyE3nhFF9MYqp9uL3CGzfl+1apVZsWKFFf6FBQn/GKJSpUq2MN/27duD1v/222/2P+FQyOXHo1KnTp2g9XXr1jWzZ8/O8/aKyGH8Ih1XEX3wTpJDTuiriC3ee+89G95/4YUX2inieAGRT7xn2kwRGxx77LGmRo0aQetq166tFKcYhDRBPUtED6ZdRLyPGjUq154RRfTGKifbi9whkn5/6623zP79++0Uzjw/uEK0FHZm+ccffzQFDYX6xxhcfITt+736WKTIPwmF8GNCvLZt2xa0nmVZf2ML5hNdvnx50LrPP//c5lOK2ILw1tdee83OD8/813i9eGmsYgOqlIdWKscQwH/y5I+L2IH8fu4dP4gWImlEbIGBRs8S0QGj5ebNm+0sDOCeAV30RXafEUV0xyo724vcIdJ+f+CBB+zLQag/Bs9x48YFnAoFDXn8YwweXrFAOSvTzJkzbbhknz597DL5ke4Hnjx+1pPnj+cf+A8Aj5iK+0WXnj17ml69egWWb7/9drN27Vrz8ccf22VmYqCCMtOHiNgZJ8Q+9yD3GIXJMM5wP8mLHFvjJOJjnEiTYeYFomeckHz55ZcVPh6DY3XttdfasXEzBP388892lhM9S+R9dNmMGTPsswDPb/yfQ00MimGGPvNF8owoYmesMttexMY4FTbk8Y8xTj/9dDsfK+EmFNVB3FNsh7mQgQIu/vyuJ5980ua64lHGMr9nzx5r6WLeSpF3HDx40HTo0MHs3r3bLjNezHvsphFJTk4OKrBIeCui8s477zQlSpSwY8gy60XsjBOe5J07d1qvip8RI0bkc8sLF1kdJwe/dQsXLgy857dz6dKl+dz6wkNWx4kp5ZjSjzxLCisx3/iwYcMk/GNwrIYMGWIjZy699FL7LEH1+JtuusmOl8gbeF7jXmCWkjPOOCPoM5dmFvrMl9kzooiNsYpkexEb95SD8H4Xmcv7xo0bW+NnQaOIR5yQEEIIIYQQQgghCiQK9RdCCCGEEEIIIQowEv5CCCGEEEIIIUQBRsJfCCGEEEIIIYQowEj4CyGEEEIIIYQQBRgJfyGEEEIIIYQQogAj4S+EEEIIIYQQQhRgJPyFEEIIIYQQQogCjIS/EEIIIQotW7duzdP979ixwxw+fDhPjyGEEEJkhoS/EEIIEWN06dLFlCxZ0tSqVcsMHDgwsP7TTz81RYoUMT/88ENg3bBhw8yxxx5rTjvtNLNu3bo8a9Nff/1lzj33XFOqVCkzdepUk99s2rTJPPjgg0HrOPc6derYdmWVlJQU069fP/Phhx+avOTPP/80F154ofntt9/y9DhCCCFERkj4CyGEEDHG/PnzTevWrc3JJ59snn766cD6RYsW2b+LFy8OrBs9erRp3ry5Wbp0qTnhhBPyrE0VK1a0xzjmmGNMNED4jxw5Mmgd5963b99s7e/RRx815cqVM1dddZXJSxo1amQGDBhgrr322jw9jhBCCJEREv5CCCFEDNK2bVvrjcYz7Vi2bJk588wzAwYAOHTokH2VLVs2Si2NP4heGDVqlLn77rvz5XiXXXaZjdJ4//338+V4QgghRCgS/kIIIUSMCv/du3ebVatW2eXk5GSbK37xxRebJUuWGM/z7PoVK1aYli1b2vevvvqqOeuss8x5551nTj/9dHPHHXeYAwcO2M9GjBhhypcvb9MHHnroIbtu4sSJNlS+SZMmZuPGjXbd9OnTzSmnnGIjDtjX3LlzM2wnbbrnnnts1EGbNm1Mhw4dzDfffGM/+/HHH20YPukJkyZNMldccYVp1qyZ6dSpk/njjz+C9oMQr127tj0uHnI88UQX9O/f30Y4DBo0yG7H/niR9uBn7Nixpn379qZhw4b2HDKLqKAfatasGVgXmsbw8ssvm8aNG9v+8adgHHHEEdZgcOONN9p+J8Xip59+sn1/wQUXmAYNGqQ5PufPmLz22msZtksIIYTIMzwhhBBCxByHDx/2KlSo4I0ZM8YuL1q0yBs2bJj32Wefofi91atX2/UjR470lixZYt9369bNmz9/vn1/8OBBr2PHjvZzx8CBA70zzzwz6Dhss2XLFvt+4cKFXqVKlbzNmzfb5R9//NErW7as98knnwS2r127tjdlypTA8n333ee1bt3aS05OtssvvviiV7lyZS8xMTGwDe296KKLvEOHDtnzatGihTd8+PDA57NmzbLn+tNPP9nl5cuXe8WLF/f69OkT2IZzDPfYMmLECK9cuXK2f2DevHm2zf7jh3LLLbd4nTp1SrM+9Nx4zzo/bdq08erVq+ft2LHDLvfs2dM744wzvJdeeskuL1iwwLZnz549Qd975JFHvBNPPDHdNgkhhBB5iTz+QgghRAxStGhR6/12+fz8bdeunfXGk2/vwv2XL19uzjjjDPv+ySeftIXkoHjx4qZr165mwYIFgX326tXLfPLJJ9ZD7a9oX6NGDfv34YcfNldeeaUtFgj169e3nupnn302bBv3799vj0kBQooRAp56ohNeeeWVoG3x9hcrVsye1znnnGNWr14d+Gz8+PHm0ksvNfXq1bPLeNJdFEMkHH300TZCAuizffv22WiD9Ni+fbs56qijTHahT6pUqWLfExVBVEa3bt3sMue2d+/eNMcnUoDjCiGEENGgWFSOKoQQQohMQcxSuf7gwYNW4D/wwANWOBNSj/C/+eabTUJCQkB0JyYmmp49e5qff/7ZlChRwlaSd6H+QFg64eszZsywof8zZ840V199deBzQvS3bNkSVCV/586d9jvhQNwi8seMGWOeeeaZwPqqVavaavZ+qlevHnhPygFtdXz77bemY8eOQdsTih8p/n1XqFAh0BcZ5fhXq1bNZBf/d8uUKWONABg1wNVa4Bh+MMSE9okQQgiRX0j4CyGEEDEs/JOSksx7771nhaMT+KzHCPDBBx/YYn+Al5v1PXr0sIIegwD56qFT4OH1nzJlihX+c+bMCSoUCNdcc02a6vmZ8fjjj1sveEZgsPDnvLsaBenBNpHi37cjo/3jfacgYmb4CytmdLxIjs/xchJlIIQQQuQEhfoLIYQQMcpJJ51kKleubIU4IewOBP6ePXvslHQuxH39+vVmx44dNqQe0Q9ECoSCh59Q/wkTJpjjjjsuaDaApk2bmu+++y5oewoJPvfcc2HbRyE7CuKFfgfvPzMSRMrxxx9vNmzYELTul19+CVp25+QKCpJmkF0oGhhaXNBBvzpcKkRuwPGIhBBCCCGigYS/EEIIEaPg9SbsfuXKlQGB7wQ6ee2ff/65adGihV1H9fnSpUsHPPh4q9944400+3SV8++66y7Tu3fvoM+GDh1q3nzzTbNmzZpAFMH999+fbqg/xxs8eLAV+i6MnWnrnnrqKTtTQKTcdttt5vXXXw+If87XXwMAXE49xyFSYfjw4Sa7kJefXg2Ajz76yP4lT5/q/7kFxyP/XwghhIgKeVo6UAghhBA54tlnn7UV76mG76d79+5e586dg9bNmTPHO+6447zTTz/du/TSS71+/fp5JUuW9Nq2bRu03eTJk70aNWp4KSkpaY73wgsv2OrzVKo/66yzvBkzZtj1u3fvthXt2V+jRo1su4BK/ffee69dR3X/9u3beytXrrSfbdu2zX6Hx41mzZrZyvvjxo2zlfIrVqxoK+I7Ro0a5dWqVctuf8cdd9jP+vfvH9Q21jVv3ty2bf369XbGA7evXr16Bdrojvfuu++G7VMq/pcuXdrbsGFD0Hr2VbNmTe/UU0/1unbtavfP+bLPpKQkr0ePHvZYbPfEE094M2fOtOfNNueff763a9euoONT4R/o57p16wZmXxBCCCHymyL8Ex2TgxBCCCHE37MDpKamBqUddOjQwRYxJAohL2A2gnXr1plJkyYF1hE1QU2Evn375uqxKKY4d+5cM3v27FzdrxBCCBEpCvUXQgghRFQhPeHWW28Nml3g008/Nd27d8+zYw4aNMgaGqZNm2bykrVr19qpDSdOnJinxxFCCCEyQlX9hRBCCBFVqCHAtIGtWrWy0xDi/cc73rBhwzytnzBu3Diza9cuk5cw1SC1FrIyS4EQQgiR2yjUXwghhBBCCCGEKMAo1F8IIYQQQgghhCjASPgLIYQQQgghhBAFGAl/IYQQQgghhBCiACPhL4QQQgghhBBCFGAk/IUQQgghhBBCiAKMhL8QQgghhBBCCFGAkfAXQgghhBBCCCEKMBL+QgghhBBCCCFEAUbCXwghhBBCCCGEMAWX/wMlXIGuMlOy6wAAAABJRU5ErkJggg==", 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" ] @@ -1108,7 +1113,7 @@ "plt.title('Spectra with Compatible Units (T_eff 1100-1300K)')\n", "plt.legend()\n", "plt.yscale('log')\n", - "plt.xlim(0.5, 2.5)\n", + "plt.xlim(0.75, 2.5)\n", "plt.grid(True, alpha=0.3)\n", "plt.show()\n", "\n" @@ -1124,7 +1129,7 @@ }, { "cell_type": "code", - "execution_count": 160, + "execution_count": 209, "id": "7d061705", "metadata": {}, "outputs": [ From 1d03b91d9a21ef8b269b91195a17cf8b6ca34e60 Mon Sep 17 00:00:00 2001 From: canavarrete01 <100876091+canavarrete01@users.noreply.github.com> Date: Mon, 15 Sep 2025 14:31:03 -0400 Subject: [PATCH 07/11] Updating Demos --- QueryDemo.ipynb => Demo_Queries_1.0.ipynb | 407 ------- Demo_Queries_1.5.ipynb | 476 ++++++++ Demo_Visualization_1.0.ipynb | 411 +++++++ Demo_Visualization_1.5.ipynb | 361 ++++++ VisualizingDemo.ipynb | 1224 --------------------- 5 files changed, 1248 insertions(+), 1631 deletions(-) rename QueryDemo.ipynb => Demo_Queries_1.0.ipynb (57%) create mode 100644 Demo_Queries_1.5.ipynb create mode 100644 Demo_Visualization_1.0.ipynb create mode 100644 Demo_Visualization_1.5.ipynb delete mode 100644 VisualizingDemo.ipynb diff --git a/QueryDemo.ipynb b/Demo_Queries_1.0.ipynb similarity index 57% rename from QueryDemo.ipynb rename to Demo_Queries_1.0.ipynb index 180e7d96b..341b8f77a 100644 --- a/QueryDemo.ipynb +++ b/Demo_Queries_1.0.ipynb @@ -699,413 +699,6 @@ "larger_search_area = db.query_region(SkyCoord(144.395, 29.528, frame='icrs', unit='deg'), radius=Quantity(60., unit='arcsec'), output_table='Sources', ra_col='ra', dec_col='dec',)\n", "print(f'Table Results for (144.395, 29.528, radius=60.0 arcsecs): \\n {(larger_search_area)}\\n')" ] - }, - { - "cell_type": "markdown", - "id": "fae1c2a9", - "metadata": {}, - "source": [ - "#### Have a more complex query? Let use astrodb_utils.sql_query to run a SQL query directly \n", - "##### AstrodbUtils's function sql_query acts as a wrapped for direct SQL queries, taking in two parameters: query (str), and fmt (str: pandas, astropy, defualt). " - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "60df2dd6", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Query with multiple conditions, filtering sources with dec > 0 and ra < 200 degrees:\n", - "Showing the first 10 results out of 1334 sources:\n" - ] - }, - { - "data": { - "text/html": [ - "
Table length=10\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
sourceradecepochequinoxshortnamereferenceother_referencescomments
str24float64float64objectobjectobjectstr11objectobject
2MASS J03552014+143929758.8337514.658056NoneNoneNoneCruz07NoneNone
PSO J024.4369+09.136024.43729.1366None2000NoneSkrz16NoneBest20 lists discovery as Skrz16; Best20a
SDSS J094903.15+264944.2147.263326.8288None2000NoneSchm10.1808NoneNone
2MASS J09373487+2931409144.39529229.528028NoneNone0937+2931Burg02.421NoneNone
HIP 6407B20.57073.5232None2000NoneDeac14.119NoneNone
2MASS J11260310+4819256171.512848.3239None2000NoneKell15NoneNone
LHS 1937115.2783317.645833NoneNoneNoneLuyt79.5NoneNone
ULAS J095047.28+011734.3147.69711.2925None2000NoneBurn13NoneNone
2MASSI J1029216+162652157.340416.4477None2000NoneKirk00NoneNone
ULAS J115229.68+035927.3178.12353.9908None2000NoneScho12NoneBest20 lists discovery as Scho12; Burn13
" - ], - "text/plain": [ - "\n", - " source ... comments \n", - " str24 ... object \n", - "------------------------ ... -----------------------------------------\n", - " 2MASS J03552014+1439297 ... None\n", - " PSO J024.4369+09.1360 ... Best20 lists discovery as Skrz16; Best20a\n", - "SDSS J094903.15+264944.2 ... None\n", - " 2MASS J09373487+2931409 ... None\n", - " HIP 6407B ... None\n", - " 2MASS J11260310+4819256 ... None\n", - " LHS 1937 ... None\n", - "ULAS J095047.28+011734.3 ... None\n", - " 2MASSI J1029216+162652 ... None\n", - "ULAS J115229.68+035927.3 ... Best20 lists discovery as Scho12; Burn13" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from sqlalchemy import and_, or_\n", - "\n", - "#Uncomment the following lines to see how to use AND and OR in queries\n", - "\n", - "# Query with multiple conditions\n", - "print(\"\\nQuery with multiple conditions, filtering sources with dec > 0 and ra < 200 degrees:\")\n", - "print(f\"Showing the first 10 results out of {len(db.query(db.Sources).filter(db.Sources.c.dec > 0).filter(db.Sources.c.ra < 200).all())} sources:\")\n", - "db.query(db.Sources).filter(db.Sources.c.dec > 0).filter(db.Sources.c.ra < 200).limit(10).table()\n", - "\n", - "# # Query with AND\n", - "# print(\"\\nQuery with AND, filtering sources with dec > 0 and ra > 200 degrees:\")\n", - "# print(f\"Showing the first 10 results out of {len(db.query(db.Sources).filter(and_(db.Sources.c.dec > 0, db.Sources.c.ra > 200)).all())} sources:\")\n", - "# db.query(db.Sources).filter(and_(db.Sources.c.dec > 0, db.Sources.c.ra > 200)).limit(10).table()\n", - "\n", - "\n", - "# # Query with OR\n", - "# print(\"\\nQuery with OR, filtering sources with dec < 0 or ra > 200 degrees:\")\n", - "# print(f\"Showing the first 10 results out of {len(db.query(db.Sources).filter(or_(db.Sources.c.dec < 0, db.Sources.c.ra > 200)).all())} sources:\")\n", - "# db.query(db.Sources).filter(or_(db.Sources.c.dec < 0, db.Sources.c.ra > 200)).limit(10).table()\n" - ] - }, - { - "cell_type": "markdown", - "id": "69912aad", - "metadata": {}, - "source": [ - "#### Query the count of sources in the database" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "19aa317e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total number of objects in the SIMPLE database: 3619\n" - ] - } - ], - "source": [ - "# Query the total number of objects within SIMPLE\n", - "result = db.sql_query(\"SELECT COUNT(*) FROM Sources\", fmt='astropy')\n", - "total_objects = result[0][0]\n", - "\n", - "\n", - "print(f\"Total number of objects in the SIMPLE database: {total_objects}\")" - ] - }, - { - "cell_type": "markdown", - "id": "7b517acd", - "metadata": {}, - "source": [ - "#### Query Sources by String " - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "6444304a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 616 WISE sources in the database\n", - "\n", - "First Three WISE Sources:\n", - " source ra dec epoch equinox shortname reference other_references comments\n", - "-------------------------- ----------------- ------------------ ----- ------- --------- --------- ---------------- --------\n", - "CWISEP J230158.30-645858.3 345.4929166666666 -64.98286111111112 None None None Meis20.74 None None\n", - " source ra dec epoch equinox shortname reference other_references comments\n", - "------------------------ ------- -------- ----- ------- --------- --------- ---------------- --------\n", - "WISE J200403.17-263751.7 301.013 -26.6293 None 2000 None Thom13 None None\n", - " source ra dec epoch equinox shortname reference other_references comments\n", - "------------------------- ------------------ ------------------- ----- ------- --------- ---------- ---------------- --------\n", - "WISEA J012834.87-280302.5 22.145291666666665 -28.050694444444446 None None None Meis20.123 None None\n" - ] - } - ], - "source": [ - "wise_sources_query = \"SELECT * FROM Sources WHERE source LIKE '%WISE%'\"\n", - "wise_sources = db.sql_query(wise_sources_query, fmt='astropy')\n", - "\n", - "print(f\"Found {len(wise_sources)} WISE sources in the database\")\n", - "print(\"\\nFirst Three WISE Sources:\")\n", - "for source in wise_sources[:3]: # Display first 3 sources\n", - " print(source)" - ] - }, - { - "cell_type": "markdown", - "id": "a69f4515", - "metadata": {}, - "source": [ - "#### Query by Program ID (\"PID\")" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "id": "16631ad3", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 55 spectra with PID references in the database\n" - ] - }, - { - "data": { - "text/html": [ - "
Table length=55\n", - "
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sourceaccess_urloriginal_spectrumlocal_spectrumregimetelescopeinstrumentmodeobservation_datecommentsreferenceother_references
str24str67objectstr43str3str7str3str7str26objectstr8object
VB 10https://s3.amazonaws.com/bdnyc/Gl+752B+%285-35um%29.txtNone$BDNYC_spectra/IRS/Gl 752B (5-35um).txtmirSpitzerIRSMissing2005-10-11 00:00:00.000000NonePID29None
2MASS J10042066+5022596https://s3.amazonaws.com/bdnyc/IRS/G196-3B.txtNone$BDNYC_spectra/IRS/G196-3B.txtmirSpitzerIRSMissing2004-04-17 04:40:11.761000NonePID51None
2MASS J10224821+5825453https://s3.amazonaws.com/bdnyc/IRS/1022%2B5825.txtNone$BDNYC_spectra/IRS/1022+5825.txtmirSpitzerIRSMissing2005-04-16 13:45:42.752000NonePID3136None
2MASS J12392727+5515371https://s3.amazonaws.com/bdnyc/1239%2B5515.txtNone$BDNYC_spectra/IRS/1239+5515.txtmirSpitzerIRSMissing2004-04-18 02:01:06.605000NonePID51None
2MASS J00001354+2554180https://s3.amazonaws.com/bdnyc/IRS/0000%2B2554%20%285-14.5um%29.txtNone$BDNYC_spectra/IRS/0000+2554 (5-14.5um).txtmirSpitzerIRSMissing2005-12-18 00:00:00.000000NonePID20514None
2MASS J07464256+2000321https://s3.amazonaws.com/bdnyc/0746%2B2000.txtNone$BDNYC_spectra/IRS/0746+2000.txtmirSpitzerIRSMissing2004-03-27 00:32:11.624000NonePID51None
2MASS J20575409-0252302https://s3.amazonaws.com/bdnyc/2057-0252.txtNone$BDNYC_spectra/IRS/2057-0252.txtmirSpitzerIRSSL2005-05-25 01:56:38.317000NonePID3136None
LP 440-52https://s3.amazonaws.com/bdnyc/IRS/LHS377.txtNone$BDNYC_spectra/IRS/LHS377.txtmirSpitzerIRSMissing2005-07-01 00:00:00.000000NonePID251None
2MASS J12373919+6526148https://s3.amazonaws.com/bdnyc/IRS/1237%2B6526.txtNone$BDNYC_spectra/IRS/1237+6526.txtmirSpitzerIRSSL2004-03-03 20:10:57.708000NonePID51None
....................................
2MASS J00345157+0523050https://s3.amazonaws.com/bdnyc/IRS/0034%2B0523.txtNone$BDNYC_spectra/IRS/0034+0523.txtmirSpitzerIRSMissing2006-01-19 00:00:00.000000NonePID20544None
2MASS J10365305-3441380https://s3.amazonaws.com/bdnyc/IRS/1036-3441.txtNone$BDNYC_spectra/IRS/1036-3441.txtmirSpitzerIRSMissing2006-01-23 19:26:34.143000NonePID51None
2MASS J17210390+3344160https://s3.amazonaws.com/bdnyc/IRS/1721%2B3344.txtNone$BDNYC_spectra/IRS/1721+3344.txtmirSpitzerIRSMissing2008-08-01 00:00:00.000000NonePID50059None
2MASS J11145133-2618235https://s3.amazonaws.com/bdnyc/IRS/1114-2618.txtNone$BDNYC_spectra/IRS/1114-2618.txtmirSpitzerIRSMissing2006-02-01 00:00:00.000000NonePID20544None
2MASS J10170754+1308398https://s3.amazonaws.com/bdnyc/1017%2B1308.txtNone$BDNYC_spectra/IRS/1017+1308.txtmirSpitzerIRSSL2009-01-19 18:00:15.977000NonePID50367None
DENIS-P J144137.2-094558https://s3.amazonaws.com/bdnyc/IRS/1441-0945.txtNone$BDNYC_spectra/IRS/1441-0945.txtmirSpitzerIRSMissing2009-03-06 07:56:18.586000NonePID50367None
2MASS J04455387-3048204https://s3.amazonaws.com/bdnyc/0445-3048.txtNone$BDNYC_spectra/IRS/0445-3048.txtmirSpitzerIRSSL2005-03-14 12:24:05.373000NonePID3136None
2MASS J05012406-0010452https://s3.amazonaws.com/bdnyc/0501-0010.txtNone$BDNYC_spectra/IRS/0501-0010.txtmirSpitzerIRSSL2008-11-12 03:43:34.999000NonePID50059None
GJ 1111https://s3.amazonaws.com/bdnyc/0829%2B2646+%2814-35um%29.txtNone$BDNYC_spectra/IRS/0829+2646 (14-35um).txtmirSpitzerIRSLL2006-05-18 00:00:00.000000NonePID20409None
2MASS J04390101-2353083https://s3.amazonaws.com/bdnyc/0439-2353.txtNone$BDNYC_spectra/IRS/0439-2353.txtmirSpitzerIRSSL2005-02-18 03:53:36.569000NonePID3136None
" - ], - "text/plain": [ - "\n", - " source ... other_references\n", - " str24 ... object \n", - "------------------------ ... ----------------\n", - " VB 10 ... None\n", - " 2MASS J10042066+5022596 ... None\n", - " 2MASS J10224821+5825453 ... None\n", - " 2MASS J12392727+5515371 ... None\n", - " 2MASS J00001354+2554180 ... None\n", - " 2MASS J07464256+2000321 ... None\n", - " 2MASS J20575409-0252302 ... None\n", - " LP 440-52 ... None\n", - " 2MASS J12373919+6526148 ... None\n", - " ... ... ...\n", - " 2MASS J00345157+0523050 ... None\n", - " 2MASS J10365305-3441380 ... None\n", - " 2MASS J17210390+3344160 ... None\n", - " 2MASS J11145133-2618235 ... None\n", - " 2MASS J10170754+1308398 ... None\n", - "DENIS-P J144137.2-094558 ... None\n", - " 2MASS J04455387-3048204 ... None\n", - " 2MASS J05012406-0010452 ... None\n", - " GJ 1111 ... None\n", - " 2MASS J04390101-2353083 ... None" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "spectra_pid_query = \"SELECT * FROM Spectra WHERE reference LIKE 'PID%'\"\n", - "print(f\"Found {len(db.sql_query(spectra_pid_query))} spectra with PID references in the database\")\n", - "db.sql_query(spectra_pid_query, fmt='astropy')\n" - ] - }, - { - "cell_type": "markdown", - "id": "f77f960b", - "metadata": {}, - "source": [ - "### Using SQLAlchemy Query Functions" - ] - }, - { - "cell_type": "markdown", - "id": "c3a3234d", - "metadata": {}, - "source": [ - "#### SQL via SQLalchemy " - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "0f1277e8", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "First 10 Sources (Raw SQL):\n", - "Source: 2MASS J03552014+1439297, RA: 58.83375, Dec: 14.658056\n", - "Source: 1RXS J115928.5-524717, RA: 179.864, Dec: -52.7886\n", - "Source: ULAS J114925.58-014343.2, RA: 177.3569, Dec: -1.7287\n", - "Source: DENIS-P J1756561-480509, RA: 269.2342, Dec: -48.086\n", - "Source: PSO J024.4369+09.1360, RA: 24.4372, Dec: 9.1366\n", - "Source: SDSS J161420.50+004643.6, RA: 243.585, Dec: 0.7785\n", - "Source: SDSS J094903.15+264944.2, RA: 147.2633, Dec: 26.8288\n", - "Source: SDSS J083717.21-000018.0, RA: 129.3215835, Dec: -0.004972\n", - "Source: 2MASS J06080232-2944590, RA: 92.0097, Dec: -29.7497\n", - "Source: 2MASS J09373487+2931409, RA: 144.395292, Dec: 29.528028\n", - "\n", - "Spectra from IRS instrument (first 5):\n", - "Source: SDSS J083717.21-000018.0, Telescope: Spitzer\n", - "\n", - "WISE sources with spectra (first 5):\n", - "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", - "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", - "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", - "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", - "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", - "\n", - "Top 3 references by number of sources:\n", - "Reference: Schm10.1808, Count: 208\n", - "Reference: Reid08.1290, Count: 206\n", - "Reference: West08, Count: 194\n", - "Source: 2MASS J09373487+2931409, Telescope: Spitzer\n", - "\n", - "WISE sources with spectra (first 5):\n", - "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", - "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", - "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", - "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", - "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", - "\n", - "Top 3 references by number of sources:\n", - "Reference: Schm10.1808, Count: 208\n", - "Reference: Reid08.1290, Count: 206\n", - "Reference: West08, Count: 194\n", - "Source: 2MASS J09373487+2931409, Telescope: Spitzer\n", - "\n", - "WISE sources with spectra (first 5):\n", - "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", - "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", - "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", - "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", - "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", - "\n", - "Top 3 references by number of sources:\n", - "Reference: Schm10.1808, Count: 208\n", - "Reference: Reid08.1290, Count: 206\n", - "Reference: West08, Count: 194\n", - "Source: VB 10, Telescope: Spitzer\n", - "\n", - "WISE sources with spectra (first 5):\n", - "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", - "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", - "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", - "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", - "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", - "\n", - "Top 3 references by number of sources:\n", - "Reference: Schm10.1808, Count: 208\n", - "Reference: Reid08.1290, Count: 206\n", - "Reference: West08, Count: 194\n", - "Source: VB 10, Telescope: Spitzer\n", - "\n", - "WISE sources with spectra (first 5):\n", - "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", - "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", - "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", - "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", - "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", - "\n", - "Top 3 references by number of sources:\n", - "Reference: Schm10.1808, Count: 208\n", - "Reference: Reid08.1290, Count: 206\n", - "Reference: West08, Count: 194\n" - ] - } - ], - "source": [ - "from sqlalchemy import text\n", - "\n", - "# Using connection from the existing database\n", - "with db.engine.connect() as conn:\n", - " \n", - " # Query all sources\n", - " result = conn.execute(text(\"SELECT * FROM Sources LIMIT 10\"))\n", - " print(\"First 10 Sources (Raw SQL):\")\n", - " for row in result:\n", - " print(f\"Source: {row.source}, RA: {row.ra}, Dec: {row.dec}\")\n", - "\n", - " # Find spectra with a specific instrument\n", - " result = conn.execute(\n", - " text(\"SELECT * FROM Spectra WHERE instrument = :instrument LIMIT 5\"),\n", - " {\"instrument\": \"IRS\"}\n", - " )\n", - " print(\"\\nSpectra from IRS instrument (first 5):\")\n", - " for row in result:\n", - " print(f\"Source: {row.source}, Telescope: {row.telescope}\")\n", - "\n", - " # Join query - find all spectra for sources with names containing \"WISE\"\n", - " result = conn.execute(\n", - " text(\"\"\"\n", - " SELECT Sources.source, Spectra.telescope, Spectra.instrument\n", - " FROM Sources \n", - " JOIN Spectra ON Sources.source = Spectra.source\n", - " WHERE Sources.source LIKE :pattern\n", - " LIMIT 5\n", - " \"\"\"),\n", - " {\"pattern\": \"%WISE%\"}\n", - " )\n", - " print(\"\\nWISE sources with spectra (first 5):\")\n", - " for row in result:\n", - " print(f\"Source: {row.source}, Telescope: {row.telescope}, Instrument: {row.instrument}\")\n", - " \n", - " # Aggregate query - count sources by publication reference\n", - " result = conn.execute(\n", - " text(\"\"\"\n", - " SELECT reference, COUNT(*) as count \n", - " FROM Sources \n", - " GROUP BY reference \n", - " ORDER BY count DESC\n", - " LIMIT 3\n", - " \"\"\")\n", - " )\n", - " print(\"\\nTop 3 references by number of sources:\")\n", - " for row in result:\n", - " print(f\"Reference: {row.reference}, Count: {row.count}\")\n" - ] } ], "metadata": { diff --git a/Demo_Queries_1.5.ipynb b/Demo_Queries_1.5.ipynb new file mode 100644 index 000000000..0b06d7971 --- /dev/null +++ b/Demo_Queries_1.5.ipynb @@ -0,0 +1,476 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "1ffa299a", + "metadata": {}, + "source": [ + "## Using SQL to Query SIMPLE" + ] + }, + { + "cell_type": "markdown", + "id": "4105070b", + "metadata": {}, + "source": [ + "#### Load in the Database" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "f244041f", + "metadata": {}, + "outputs": [], + "source": [ + "from astrodb_utils import load_astrodb\n", + "from simple import REFERENCE_TABLES\n", + "\n", + "SCHEMA_PATH = \"simple/schema.yaml\" \n", + "recreatedb = False #Set to True or False\n", + "db = load_astrodb(\n", + " \"SIMPLE.sqlite\", \n", + " recreatedb=recreatedb, \n", + " reference_tables=REFERENCE_TABLES, \n", + " felis_schema=SCHEMA_PATH\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "fae1c2a9", + "metadata": {}, + "source": [ + "#### Let first use astrodb_utils.sql_query to run a SQL query directly \n", + "##### AstrodbUtils's function sql_query acts as a wrapped for direct SQL queries, taking in two parameters: query (str), and fmt (str: pandas, astropy, defualt). " + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "60df2dd6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Query with multiple conditions, filtering sources with dec > 0 and ra < 200 degrees:\n", + "Showing the first 10 results out of 1334 sources:\n" + ] + }, + { + "data": { + "text/html": [ + "
Table length=10\n", + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
sourceradecepochequinoxshortnamereferenceother_referencescomments
str24float64float64objectobjectobjectstr11objectobject
2MASS J03552014+143929758.8337514.658056NoneNoneNoneCruz07NoneNone
PSO J024.4369+09.136024.43729.1366None2000NoneSkrz16NoneBest20 lists discovery as Skrz16; Best20a
SDSS J094903.15+264944.2147.263326.8288None2000NoneSchm10.1808NoneNone
2MASS J09373487+2931409144.39529229.528028NoneNone0937+2931Burg02.421NoneNone
HIP 6407B20.57073.5232None2000NoneDeac14.119NoneNone
2MASS J11260310+4819256171.512848.3239None2000NoneKell15NoneNone
LHS 1937115.2783317.645833NoneNoneNoneLuyt79.5NoneNone
ULAS J095047.28+011734.3147.69711.2925None2000NoneBurn13NoneNone
2MASSI J1029216+162652157.340416.4477None2000NoneKirk00NoneNone
ULAS J115229.68+035927.3178.12353.9908None2000NoneScho12NoneBest20 lists discovery as Scho12; Burn13
" + ], + "text/plain": [ + "\n", + " source ... comments \n", + " str24 ... object \n", + "------------------------ ... -----------------------------------------\n", + " 2MASS J03552014+1439297 ... None\n", + " PSO J024.4369+09.1360 ... Best20 lists discovery as Skrz16; Best20a\n", + "SDSS J094903.15+264944.2 ... None\n", + " 2MASS J09373487+2931409 ... None\n", + " HIP 6407B ... None\n", + " 2MASS J11260310+4819256 ... None\n", + " LHS 1937 ... None\n", + "ULAS J095047.28+011734.3 ... None\n", + " 2MASSI J1029216+162652 ... None\n", + "ULAS J115229.68+035927.3 ... Best20 lists discovery as Scho12; Burn13" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sqlalchemy import and_, or_\n", + "\n", + "#Uncomment the following lines to see how to use AND and OR in queries\n", + "\n", + "# Query with multiple conditions\n", + "print(\"\\nQuery with multiple conditions, filtering sources with dec > 0 and ra < 200 degrees:\")\n", + "print(f\"Showing the first 10 results out of {len(db.query(db.Sources).filter(db.Sources.c.dec > 0).filter(db.Sources.c.ra < 200).all())} sources:\")\n", + "db.query(db.Sources).filter(db.Sources.c.dec > 0).filter(db.Sources.c.ra < 200).limit(10).table()\n", + "\n", + "# # Query with AND\n", + "# print(\"\\nQuery with AND, filtering sources with dec > 0 and ra > 200 degrees:\")\n", + "# print(f\"Showing the first 10 results out of {len(db.query(db.Sources).filter(and_(db.Sources.c.dec > 0, db.Sources.c.ra > 200)).all())} sources:\")\n", + "# db.query(db.Sources).filter(and_(db.Sources.c.dec > 0, db.Sources.c.ra > 200)).limit(10).table()\n", + "\n", + "\n", + "# # Query with OR\n", + "# print(\"\\nQuery with OR, filtering sources with dec < 0 or ra > 200 degrees:\")\n", + "# print(f\"Showing the first 10 results out of {len(db.query(db.Sources).filter(or_(db.Sources.c.dec < 0, db.Sources.c.ra > 200)).all())} sources:\")\n", + "# db.query(db.Sources).filter(or_(db.Sources.c.dec < 0, db.Sources.c.ra > 200)).limit(10).table()\n" + ] + }, + { + "cell_type": "markdown", + "id": "69912aad", + "metadata": {}, + "source": [ + "#### Query the count of sources in the database" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "19aa317e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total number of objects in the SIMPLE database: 3619\n" + ] + } + ], + "source": [ + "# Query the total number of objects within SIMPLE\n", + "result = db.sql_query(\"SELECT COUNT(*) FROM Sources\", fmt='astropy')\n", + "total_objects = result[0][0]\n", + "\n", + "\n", + "print(f\"Total number of objects in the SIMPLE database: {total_objects}\")" + ] + }, + { + "cell_type": "markdown", + "id": "7b517acd", + "metadata": {}, + "source": [ + "#### Query Sources by String " + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "6444304a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 616 WISE sources in the database\n", + "\n", + "First Three WISE Sources:\n", + " source ra dec epoch equinox shortname reference other_references comments\n", + "-------------------------- ----------------- ------------------ ----- ------- --------- --------- ---------------- --------\n", + "CWISEP J230158.30-645858.3 345.4929166666666 -64.98286111111112 None None None Meis20.74 None None\n", + " source ra dec epoch equinox shortname reference other_references comments\n", + "------------------------ ------- -------- ----- ------- --------- --------- ---------------- --------\n", + "WISE J200403.17-263751.7 301.013 -26.6293 None 2000 None Thom13 None None\n", + " source ra dec epoch equinox shortname reference other_references comments\n", + "------------------------- ------------------ ------------------- ----- ------- --------- ---------- ---------------- --------\n", + "WISEA J012834.87-280302.5 22.145291666666665 -28.050694444444446 None None None Meis20.123 None None\n" + ] + } + ], + "source": [ + "wise_sources_query = \"SELECT * FROM Sources WHERE source LIKE '%WISE%'\"\n", + "wise_sources = db.sql_query(wise_sources_query, fmt='astropy')\n", + "\n", + "print(f\"Found {len(wise_sources)} WISE sources in the database\")\n", + "print(\"\\nFirst Three WISE Sources:\")\n", + "for source in wise_sources[:3]: # Display first 3 sources\n", + " print(source)" + ] + }, + { + "cell_type": "markdown", + "id": "a69f4515", + "metadata": {}, + "source": [ + "#### Query by Program ID (\"PID\")" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "16631ad3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 55 spectra with PID references in the database\n" + ] + }, + { + "data": { + "text/html": [ + "
Table length=55\n", + "
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sourceaccess_urloriginal_spectrumlocal_spectrumregimetelescopeinstrumentmodeobservation_datecommentsreferenceother_references
str24str67objectstr43str3str7str3str7str26objectstr8object
VB 10https://s3.amazonaws.com/bdnyc/Gl+752B+%285-35um%29.txtNone$BDNYC_spectra/IRS/Gl 752B (5-35um).txtmirSpitzerIRSMissing2005-10-11 00:00:00.000000NonePID29None
2MASS J10042066+5022596https://s3.amazonaws.com/bdnyc/IRS/G196-3B.txtNone$BDNYC_spectra/IRS/G196-3B.txtmirSpitzerIRSMissing2004-04-17 04:40:11.761000NonePID51None
2MASS J10224821+5825453https://s3.amazonaws.com/bdnyc/IRS/1022%2B5825.txtNone$BDNYC_spectra/IRS/1022+5825.txtmirSpitzerIRSMissing2005-04-16 13:45:42.752000NonePID3136None
2MASS J12392727+5515371https://s3.amazonaws.com/bdnyc/1239%2B5515.txtNone$BDNYC_spectra/IRS/1239+5515.txtmirSpitzerIRSMissing2004-04-18 02:01:06.605000NonePID51None
2MASS J00001354+2554180https://s3.amazonaws.com/bdnyc/IRS/0000%2B2554%20%285-14.5um%29.txtNone$BDNYC_spectra/IRS/0000+2554 (5-14.5um).txtmirSpitzerIRSMissing2005-12-18 00:00:00.000000NonePID20514None
2MASS J07464256+2000321https://s3.amazonaws.com/bdnyc/0746%2B2000.txtNone$BDNYC_spectra/IRS/0746+2000.txtmirSpitzerIRSMissing2004-03-27 00:32:11.624000NonePID51None
2MASS J20575409-0252302https://s3.amazonaws.com/bdnyc/2057-0252.txtNone$BDNYC_spectra/IRS/2057-0252.txtmirSpitzerIRSSL2005-05-25 01:56:38.317000NonePID3136None
LP 440-52https://s3.amazonaws.com/bdnyc/IRS/LHS377.txtNone$BDNYC_spectra/IRS/LHS377.txtmirSpitzerIRSMissing2005-07-01 00:00:00.000000NonePID251None
2MASS J12373919+6526148https://s3.amazonaws.com/bdnyc/IRS/1237%2B6526.txtNone$BDNYC_spectra/IRS/1237+6526.txtmirSpitzerIRSSL2004-03-03 20:10:57.708000NonePID51None
....................................
2MASS J00345157+0523050https://s3.amazonaws.com/bdnyc/IRS/0034%2B0523.txtNone$BDNYC_spectra/IRS/0034+0523.txtmirSpitzerIRSMissing2006-01-19 00:00:00.000000NonePID20544None
2MASS J10365305-3441380https://s3.amazonaws.com/bdnyc/IRS/1036-3441.txtNone$BDNYC_spectra/IRS/1036-3441.txtmirSpitzerIRSMissing2006-01-23 19:26:34.143000NonePID51None
2MASS J17210390+3344160https://s3.amazonaws.com/bdnyc/IRS/1721%2B3344.txtNone$BDNYC_spectra/IRS/1721+3344.txtmirSpitzerIRSMissing2008-08-01 00:00:00.000000NonePID50059None
2MASS J11145133-2618235https://s3.amazonaws.com/bdnyc/IRS/1114-2618.txtNone$BDNYC_spectra/IRS/1114-2618.txtmirSpitzerIRSMissing2006-02-01 00:00:00.000000NonePID20544None
2MASS J10170754+1308398https://s3.amazonaws.com/bdnyc/1017%2B1308.txtNone$BDNYC_spectra/IRS/1017+1308.txtmirSpitzerIRSSL2009-01-19 18:00:15.977000NonePID50367None
DENIS-P J144137.2-094558https://s3.amazonaws.com/bdnyc/IRS/1441-0945.txtNone$BDNYC_spectra/IRS/1441-0945.txtmirSpitzerIRSMissing2009-03-06 07:56:18.586000NonePID50367None
2MASS J04455387-3048204https://s3.amazonaws.com/bdnyc/0445-3048.txtNone$BDNYC_spectra/IRS/0445-3048.txtmirSpitzerIRSSL2005-03-14 12:24:05.373000NonePID3136None
2MASS J05012406-0010452https://s3.amazonaws.com/bdnyc/0501-0010.txtNone$BDNYC_spectra/IRS/0501-0010.txtmirSpitzerIRSSL2008-11-12 03:43:34.999000NonePID50059None
GJ 1111https://s3.amazonaws.com/bdnyc/0829%2B2646+%2814-35um%29.txtNone$BDNYC_spectra/IRS/0829+2646 (14-35um).txtmirSpitzerIRSLL2006-05-18 00:00:00.000000NonePID20409None
2MASS J04390101-2353083https://s3.amazonaws.com/bdnyc/0439-2353.txtNone$BDNYC_spectra/IRS/0439-2353.txtmirSpitzerIRSSL2005-02-18 03:53:36.569000NonePID3136None
" + ], + "text/plain": [ + "\n", + " source ... other_references\n", + " str24 ... object \n", + "------------------------ ... ----------------\n", + " VB 10 ... None\n", + " 2MASS J10042066+5022596 ... None\n", + " 2MASS J10224821+5825453 ... None\n", + " 2MASS J12392727+5515371 ... None\n", + " 2MASS J00001354+2554180 ... None\n", + " 2MASS J07464256+2000321 ... None\n", + " 2MASS J20575409-0252302 ... None\n", + " LP 440-52 ... None\n", + " 2MASS J12373919+6526148 ... None\n", + " ... ... ...\n", + " 2MASS J00345157+0523050 ... None\n", + " 2MASS J10365305-3441380 ... None\n", + " 2MASS J17210390+3344160 ... None\n", + " 2MASS J11145133-2618235 ... None\n", + " 2MASS J10170754+1308398 ... None\n", + "DENIS-P J144137.2-094558 ... None\n", + " 2MASS J04455387-3048204 ... None\n", + " 2MASS J05012406-0010452 ... None\n", + " GJ 1111 ... None\n", + " 2MASS J04390101-2353083 ... None" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "spectra_pid_query = \"SELECT * FROM Spectra WHERE reference LIKE 'PID%'\"\n", + "print(f\"Found {len(db.sql_query(spectra_pid_query))} spectra with PID references in the database\")\n", + "db.sql_query(spectra_pid_query, fmt='astropy')\n" + ] + }, + { + "cell_type": "markdown", + "id": "f77f960b", + "metadata": {}, + "source": [ + "### Using SQLAlchemy Query Functions" + ] + }, + { + "cell_type": "markdown", + "id": "7be9e984", + "metadata": {}, + "source": [ + "##### Using SQL directly without astrodb_utils" + ] + }, + { + "cell_type": "markdown", + "id": "c3a3234d", + "metadata": {}, + "source": [ + "#### SQL via SQLalchemy " + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "0f1277e8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "First 10 Sources (Raw SQL):\n", + "Source: 2MASS J03552014+1439297, RA: 58.83375, Dec: 14.658056\n", + "Source: 1RXS J115928.5-524717, RA: 179.864, Dec: -52.7886\n", + "Source: ULAS J114925.58-014343.2, RA: 177.3569, Dec: -1.7287\n", + "Source: DENIS-P J1756561-480509, RA: 269.2342, Dec: -48.086\n", + "Source: PSO J024.4369+09.1360, RA: 24.4372, Dec: 9.1366\n", + "Source: SDSS J161420.50+004643.6, RA: 243.585, Dec: 0.7785\n", + "Source: SDSS J094903.15+264944.2, RA: 147.2633, Dec: 26.8288\n", + "Source: SDSS J083717.21-000018.0, RA: 129.3215835, Dec: -0.004972\n", + "Source: 2MASS J06080232-2944590, RA: 92.0097, Dec: -29.7497\n", + "Source: 2MASS J09373487+2931409, RA: 144.395292, Dec: 29.528028\n", + "\n", + "Spectra from IRS instrument (first 5):\n", + "Source: SDSS J083717.21-000018.0, Telescope: Spitzer\n", + "\n", + "WISE sources with spectra (first 5):\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", + "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", + "\n", + "Top 3 references by number of sources:\n", + "Reference: Schm10.1808, Count: 208\n", + "Reference: Reid08.1290, Count: 206\n", + "Reference: West08, Count: 194\n", + "Source: 2MASS J09373487+2931409, Telescope: Spitzer\n", + "\n", + "WISE sources with spectra (first 5):\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", + "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", + "\n", + "Top 3 references by number of sources:\n", + "Reference: Schm10.1808, Count: 208\n", + "Reference: Reid08.1290, Count: 206\n", + "Reference: West08, Count: 194\n", + "Source: 2MASS J09373487+2931409, Telescope: Spitzer\n", + "\n", + "WISE sources with spectra (first 5):\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", + "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", + "\n", + "Top 3 references by number of sources:\n", + "Reference: Schm10.1808, Count: 208\n", + "Reference: Reid08.1290, Count: 206\n", + "Reference: West08, Count: 194\n", + "Source: VB 10, Telescope: Spitzer\n", + "\n", + "WISE sources with spectra (first 5):\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", + "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", + "\n", + "Top 3 references by number of sources:\n", + "Reference: Schm10.1808, Count: 208\n", + "Reference: Reid08.1290, Count: 206\n", + "Reference: West08, Count: 194\n", + "Source: VB 10, Telescope: Spitzer\n", + "\n", + "WISE sources with spectra (first 5):\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n", + "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n", + "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n", + "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n", + "\n", + "Top 3 references by number of sources:\n", + "Reference: Schm10.1808, Count: 208\n", + "Reference: Reid08.1290, Count: 206\n", + "Reference: West08, Count: 194\n" + ] + } + ], + "source": [ + "from sqlalchemy import text\n", + "\n", + "# Using connection from the existing database\n", + "with db.engine.connect() as conn:\n", + " \n", + " # Query all sources\n", + " result = conn.execute(text(\"SELECT * FROM Sources LIMIT 10\"))\n", + " print(\"First 10 Sources (Raw SQL):\")\n", + " for row in result:\n", + " print(f\"Source: {row.source}, RA: {row.ra}, Dec: {row.dec}\")\n", + "\n", + " # Find spectra with a specific instrument\n", + " result = conn.execute(\n", + " text(\"SELECT * FROM Spectra WHERE instrument = :instrument LIMIT 5\"),\n", + " {\"instrument\": \"IRS\"}\n", + " )\n", + " print(\"\\nSpectra from IRS instrument (first 5):\")\n", + " for row in result:\n", + " print(f\"Source: {row.source}, Telescope: {row.telescope}\")\n", + "\n", + " # Join query - find all spectra for sources with names containing \"WISE\"\n", + " result = conn.execute(\n", + " text(\"\"\"\n", + " SELECT Sources.source, Spectra.telescope, Spectra.instrument\n", + " FROM Sources \n", + " JOIN Spectra ON Sources.source = Spectra.source\n", + " WHERE Sources.source LIKE :pattern\n", + " LIMIT 5\n", + " \"\"\"),\n", + " {\"pattern\": \"%WISE%\"}\n", + " )\n", + " print(\"\\nWISE sources with spectra (first 5):\")\n", + " for row in result:\n", + " print(f\"Source: {row.source}, Telescope: {row.telescope}, Instrument: {row.instrument}\")\n", + " \n", + " # Aggregate query - count sources by publication reference\n", + " result = conn.execute(\n", + " text(\"\"\"\n", + " SELECT reference, COUNT(*) as count \n", + " FROM Sources \n", + " GROUP BY reference \n", + " ORDER BY count DESC\n", + " LIMIT 3\n", + " \"\"\")\n", + " )\n", + " print(\"\\nTop 3 references by number of sources:\")\n", + " for row in result:\n", + " print(f\"Reference: {row.reference}, Count: {row.count}\")\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "simple-db", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Demo_Visualization_1.0.ipynb b/Demo_Visualization_1.0.ipynb new file mode 100644 index 000000000..463b4cbb0 --- /dev/null +++ b/Demo_Visualization_1.0.ipynb @@ -0,0 +1,411 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "7f0252a2", + "metadata": {}, + "source": [ + "# Visualizing Spectra with SIMPLE " + ] + }, + { + "cell_type": "markdown", + "id": "1fba3339", + "metadata": {}, + "source": [ + "### Brief Overview of Querying SIMPLE" + ] + }, + { + "cell_type": "markdown", + "id": "1f81a665", + "metadata": {}, + "source": [ + "##### To better understand querying, we recommend you run through the QueryDemo.ipynb notebook before you begin here. Once you feel ready regarding querying, come back here for some fun with visualization. " + ] + }, + { + "cell_type": "markdown", + "id": "dc4378d7", + "metadata": {}, + "source": [ + "##### In this notebook, we will mostly use the AstroDBUtils package to query the database. Find more information on this package here: https://astrodbkit.readthedocs.io/en/latest/#exploring-the-schema" + ] + }, + { + "cell_type": "code", + "execution_count": 195, + "id": "80b0998f", + "metadata": {}, + "outputs": [], + "source": [ + "import astropy.units as u\n", + "import astropy.constants as const\n", + "from astropy.io import fits\n", + "from specutils import Spectrum\n", + "\n", + "from sqlalchemy import and_, or_\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.ticker import MultipleLocator, FormatStrFormatter, AutoMinorLocator\n", + "plt.rcParams['font.family'] = 'serif'" + ] + }, + { + "cell_type": "code", + "execution_count": 196, + "id": "bf58d6a0", + "metadata": {}, + "outputs": [], + "source": [ + "# Load in the database\n", + "from astrodb_utils import load_astrodb\n", + "from simple import REFERENCE_TABLES\n", + "\n", + "SCHEMA_PATH = \"simple/schema.yaml\" \n", + "recreatedb = False #Set to True or False\n", + "db = load_astrodb(\n", + " \"SIMPLE.sqlite\", \n", + " recreatedb=recreatedb, \n", + " reference_tables=REFERENCE_TABLES, \n", + " felis_schema=SCHEMA_PATH\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "31d0bd60", + "metadata": {}, + "source": [ + "### Visualization Methods" + ] + }, + { + "cell_type": "markdown", + "id": "1348cffa", + "metadata": {}, + "source": [ + "#### Lets try first plotting a single spectra from a single source" + ] + }, + { + "cell_type": "markdown", + "id": "5554b341", + "metadata": {}, + "source": [ + "##### In this use case, we are looking to plot the spectra for the object with the most spectra available in SIMPLE. Using what we just learned, we can use SQL to query the database for this answer." + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "id": "57abb8b5", + "metadata": {}, + "outputs": [], + "source": [ + "from specutils import Spectrum\n", + "import matplotlib.pyplot as plt\n", + "from astropy.io import fits\n", + "from matplotlib.ticker import MultipleLocator, FormatStrFormatter, AutoMinorLocator\n", + "plt.rcParams['font.family'] = 'serif'" + ] + }, + { + "cell_type": "markdown", + "id": "cabdecd3", + "metadata": {}, + "source": [ + "##### Lets do an inventory check of '2MASS J04151954-0935066' using db.inventory (https://astrodbkit.readthedocs.io/en/latest/astrodb.html#astrodbkit.astrodb.Database.inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "id": "ffb5f00c", + "metadata": {}, + "outputs": [], + "source": [ + "results = db.inventory(\"2MASS J04151954-0935066\")" + ] + }, + { + "cell_type": "markdown", + "id": "a9a16c32", + "metadata": {}, + "source": [ + "##### Now lets parse through that dictionary output to only view the spectra associated with 2MASS 0415" + ] + }, + { + "cell_type": "code", + "execution_count": 199, + "id": "d88e9426", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt', 'original_spectrum': None, 'local_spectrum': '$BDNYC_spectra/IRS/0415-0935 (LL2).txt', 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'Missing', 'observation_date': datetime.datetime(2005, 9, 6, 0, 0), 'comments': None, 'reference': 'PID3259', 'other_references': None}\n", + "{'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935.txt', 'original_spectrum': None, 'local_spectrum': '$BDNYC_spectra/IRS/0415-0935.txt', 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'Missing', 'observation_date': datetime.datetime(2005, 9, 7, 0, 0), 'comments': None, 'reference': 'PID3431', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.amazonaws.com/IRS/2MASS+J04151954-0935066.fits', 'original_spectrum': 'https://bdnyc.s3.amazonaws.com/IRS/0415-0935_IRS_spectrum.dat', 'local_spectrum': None, 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'SL', 'observation_date': datetime.datetime(2005, 9, 6, 0, 0), 'comments': 'SL2,SL1, There are multiple observation dates', 'reference': 'Suar22', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'nir', 'telescope': 'Magellan I Baade', 'instrument': 'FIRE', 'mode': 'Echelle', 'observation_date': datetime.datetime(2010, 9, 20, 0, 0), 'comments': None, 'reference': 'Alej25', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'nir', 'telescope': 'JWST', 'instrument': 'NIRSpec', 'mode': 'F290LP.G395H', 'observation_date': datetime.datetime(2022, 10, 16, 0, 0), 'comments': None, 'reference': 'Alej25', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'nir', 'telescope': 'AKARI', 'instrument': 'IRC', 'mode': 'IRC04', 'observation_date': datetime.datetime(2007, 8, 23, 0, 0), 'comments': None, 'reference': 'Sora12', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits', 'original_spectrum': 'https://s3.amazonaws.com/bdnyc/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'local_spectrum': '$BDNYC_spectra/SpeX/Prism/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'regime': 'nir', 'telescope': 'IRTF', 'instrument': 'SpeX', 'mode': 'Prism', 'observation_date': datetime.datetime(2003, 9, 17, 0, 0), 'comments': None, 'reference': 'Burg04.2856', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASSJ04151954-0935066_T8_LRIS_Burg03.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'optical', 'telescope': 'Keck I', 'instrument': 'LRIS', 'mode': 'Missing', 'observation_date': datetime.datetime(2001, 2, 20, 0, 0), 'comments': None, 'reference': 'Burg03.510', 'other_references': None}\n", + "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASS_J04151954-0935066_2006-12-26.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'optical', 'telescope': 'Keck I', 'instrument': 'LRIS', 'mode': 'Missing', 'observation_date': datetime.datetime(2006, 12, 26, 0, 0), 'comments': None, 'reference': 'Kirk08', 'other_references': None}\n" + ] + } + ], + "source": [ + "for i in range(len(results['Spectra'])):\n", + " print(results['Spectra'][i])" + ] + }, + { + "cell_type": "markdown", + "id": "11009f80", + "metadata": {}, + "source": [ + "##### Lets first plot up just one of these spectra, you can directly copy the link from the dictionary and use Spectrum to visualize the data" + ] + }, + { + "cell_type": "code", + "execution_count": 200, + "id": "95856ade", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'JWST NIRSpec Spectrum of 2MASS J04151954-0935066')" + ] + }, + "execution_count": 200, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "jwst = Spectrum.read('https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits')\n", + "jwst.plot()\n", + "plt.title('JWST NIRSpec Spectrum of 2MASS J04151954-0935066')" + ] + }, + { + "cell_type": "code", + "execution_count": 201, + "id": "b4085d54", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'FIRE Spectrum of 2MASS J04151954-0935066')" + ] + }, + "execution_count": 201, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fire = Spectrum.read('https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits')\n", + "fire.plot()\n", + "plt.title('FIRE Spectrum of 2MASS J04151954-0935066')" + ] + }, + { + "cell_type": "code", + "execution_count": 202, + "id": "04555395", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'AKARI Spectrum of 2MASS J04151954-0935066')" + ] + }, + "execution_count": 202, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "akari = Spectrum.read('https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits')\n", + "akari.plot()\n", + "plt.title('AKARI Spectrum of 2MASS J04151954-0935066')" + ] + }, + { + "cell_type": "markdown", + "id": "d5bbef16", + "metadata": {}, + "source": [ + "##### The Spectrum.read function automatically picks up on the units within the fits file, and you can see from each of these that the flux is at different units so to be able to plot them all together we would need to do some unit conversion to better visualize them. Lets do that next!" + ] + }, + { + "cell_type": "code", + "execution_count": 203, + "id": "03d1c866", + "metadata": {}, + "outputs": [], + "source": [ + "# Converting the outlier spectra to the same units (JWST NIRSpec Spectra is in Jy)\n", + "jwst_wavelength, flux = jwst.spectral_axis, jwst.flux\n", + "target_unit = u.W / (u.um * u.m**2) # Desired flux unit\n", + " \n", + "jwst_flux_converted = flux.to(target_unit, equivalencies=u.spectral_density(jwst_wavelength))" + ] + }, + { + "cell_type": "code", + "execution_count": 204, + "id": "68f9176a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12, 8))\n", + "\n", + "plt.plot(jwst_wavelength, jwst_flux_converted, label='JWST NIRSpec')\n", + "plt.plot(akari.spectral_axis, akari.flux, label='AKARI')\n", + "plt.plot(fire.spectral_axis, fire.flux, label='FIRE')\n", + "\n", + "# Add labels and title\n", + "plt.xlabel('Wavelength (μm)')\n", + "plt.ylabel('Flux (W / (μm m²))')\n", + "plt.title('Multiple Spectra for 2MASS J04151954-0935066')\n", + "plt.yscale('log')\n", + "plt.legend()\n", + "plt.grid(True, alpha=0.3)\n", + "\n", + "# Display the plot\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 205, + "id": "8be90a1e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12, 8))\n", + "\n", + "plt.plot(jwst_wavelength, jwst_flux_converted, label='JWST NIRSpec')\n", + "plt.plot(akari.spectral_axis, akari.flux, label='AKARI')\n", + "plt.plot(fire.spectral_axis, fire.flux, label='FIRE')\n", + "\n", + "# Add labels and title\n", + "plt.xlabel('Wavelength (μm)')\n", + "plt.ylabel('Flux (W / (μm m²), Normalized)')\n", + "plt.title('2MASS J04151954-0935066')\n", + "plt.grid(True, alpha=0.3)\n", + "\n", + "jwst_range = [jwst_wavelength.value.min(), jwst_wavelength.value.max()]\n", + "akari_range = [akari.spectral_axis.value.min(), akari.spectral_axis.value.max()]\n", + "fire_range = [fire.spectral_axis.value.min(), fire.spectral_axis.value.max()]\n", + "\n", + "# Annotate the plot with Matplotlib's hlines and text functions\n", + "\n", + "#JWST\n", + "plt.hlines(8.8e-16, jwst_range[0], jwst_range[1], \n", + " colors=plt.gca().lines[0].get_color(), linestyles='-', linewidth=2, alpha=0.7)\n", + "plt.text((jwst_range[0] + jwst_range[1])/2, 8.9e-16, 'JWST NIRSpec', \n", + " color=plt.gca().lines[0].get_color(), fontweight='bold', ha='center')\n", + "\n", + "#AKARI\n", + "plt.hlines(8.3e-16, akari_range[0], akari_range[1], \n", + " colors=plt.gca().lines[1].get_color(), linestyles='-', linewidth=2, alpha=0.7)\n", + "plt.text((akari_range[0] + akari_range[1])/2, 8.4e-16, 'AKARI', \n", + " color=plt.gca().lines[1].get_color(), fontweight='bold', ha='center')\n", + "\n", + "#FIRE \n", + "plt.hlines(0.55e-15, fire_range[0], fire_range[1], \n", + " colors=plt.gca().lines[2].get_color(), linestyles='-', linewidth=2, alpha=0.7)\n", + "plt.text((fire_range[0] + fire_range[1])/2, 0.56e-15, 'FIRE', \n", + " color=plt.gca().lines[2].get_color(), fontweight='bold', ha='center')\n", + "\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "simple-db", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Demo_Visualization_1.5.ipynb b/Demo_Visualization_1.5.ipynb new file mode 100644 index 000000000..c060621ad --- /dev/null +++ b/Demo_Visualization_1.5.ipynb @@ -0,0 +1,361 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "a8cadec5", + "metadata": {}, + "source": [ + "## Visualizing Multiple Objects with SIMPLE\n", + "#### Continuing from VisualizingDemo.ipynb" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c3f07789", + "metadata": {}, + "outputs": [], + "source": [ + "import astropy.units as u\n", + "import astropy.constants as const\n", + "from astropy.io import fits\n", + "from specutils import Spectrum\n", + "\n", + "from sqlalchemy import and_, or_\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.ticker import MultipleLocator, FormatStrFormatter, AutoMinorLocator\n", + "plt.rcParams['font.family'] = 'serif'" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "df6e6e0f", + "metadata": {}, + "outputs": [], + "source": [ + "# Load in the database\n", + "from astrodb_utils import load_astrodb\n", + "from simple import REFERENCE_TABLES\n", + "\n", + "SCHEMA_PATH = \"simple/schema.yaml\" \n", + "recreatedb = False #Set to True or False\n", + "db = load_astrodb(\n", + " \"SIMPLE.sqlite\", \n", + " recreatedb=recreatedb, \n", + " reference_tables=REFERENCE_TABLES, \n", + " felis_schema=SCHEMA_PATH\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "60cbbf39", + "metadata": {}, + "source": [ + "#### Now lets try plotting spectra from multiple sources using a couple different metrics we can decide on within SIMPLE" + ] + }, + { + "cell_type": "markdown", + "id": "c62e0ca6", + "metadata": {}, + "source": [ + "##### To further understand what different ways you can query obects you can reference the schema in simple/schema.yaml and for a visual reference the github documentation: https://github.com/SIMPLE-AstroDB/SIMPLE-db/tree/main/docs" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "42ff9efd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 158 spectra for sources with T_eff between 1200-1300K within SIMPLE.\n", + "Found 46 unique sources.\n" + ] + } + ], + "source": [ + "# Create a query to join ModeledParameters and Spectra tables\n", + "# This will find all spectra for sources with T_eff between 1100-1200K\n", + "spectra_temp_query = \"\"\"\n", + "SELECT \n", + " mp.source, \n", + " mp.parameter,\n", + " mp.value,\n", + " s.regime, \n", + " s.instrument, \n", + " s.telescope, \n", + " s.access_url\n", + "\n", + "FROM ModeledParameters mp\n", + "JOIN Spectra s ON mp.source = s.source\n", + "WHERE mp.parameter = 'T eff' \n", + " AND mp.value BETWEEN 1200 AND 1300\n", + "ORDER BY mp.value, mp.source, s.regime\n", + "\"\"\"\n", + "\n", + "# Execute the query\n", + "low_temp = db.sql_query(spectra_temp_query, fmt='pandas')\n", + "print(f\"Found {len(low_temp)} spectra for sources with T_eff between 1200-1300K within SIMPLE.\") #How many spectra did we find?\n", + "print(f\"Found {len(low_temp['source'].unique())} unique sources.\") #How many unique sources did we find?" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "4f5eda18", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " source parameter value regime instrument telescope \\\n", + "0 2MASS J00001354+2554180 T eff 1200.0 mir IRS Spitzer \n", + "1 2MASS J05591914-1404488 T eff 1200.0 mir IRS Spitzer \n", + "2 2MASS J05591914-1404488 T eff 1200.0 nir SpeX IRTF \n", + "3 2MASS J21392676+0220226 T eff 1200.0 mir IRS Spitzer \n", + "4 2MASS J21392676+0220226 T eff 1200.0 mir IRS Spitzer \n", + ".. ... ... ... ... ... ... \n", + "81 2MASSI J2254188+312349 T eff 1300.0 mir IRS Spitzer \n", + "82 SDSS J151643.01+305344.4 T eff 1300.0 mir IRS Spitzer \n", + "83 SIMP J013656.5+093347.3 T eff 1300.0 mir IRS Spitzer \n", + "84 SIMP J013656.5+093347.3 T eff 1300.0 nir XShooter ESO VLT \n", + "85 SIMP J013656.5+093347.3 T eff 1300.0 optical XShooter ESO VLT \n", + "\n", + " access_url \n", + "0 https://bdnyc.s3.us-east-1.amazonaws.com/IRS/2... \n", + "1 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0559... \n", + "2 https://s3.amazonaws.com/bdnyc/SpeX/IRTF%20Lib... \n", + "3 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J2139... \n", + "4 https://s3.amazonaws.com/bdnyc/20912_etador21_... \n", + ".. ... \n", + "81 https://bdnyc.s3.us-east-1.amazonaws.com/IRS/2... \n", + "82 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1516... \n", + "83 https://bdnyc.s3.amazonaws.com/IRS/SIMP+J01365... \n", + "84 https://bdnyc.s3.amazonaws.com/xshooter/IPMS01... \n", + "85 https://bdnyc.s3.amazonaws.com/xshooter/IPMS01... \n", + "\n", + "[86 rows x 7 columns]\n", + "['Spitzer' 'IRTF' 'Gemini North' 'ESO VLT' 'Keck I' 'CTIO 4m' 'ARC 3.5m'\n", + " 'Magellan II Clay' 'KPNO 4m']\n" + ] + } + ], + "source": [ + "# Filter the fits_spectra DataFrame to only include rows where access_url ends with \"fits\"\n", + "fits_spectra = low_temp[low_temp['access_url'].str.endswith('fits')]\n", + "fits_spectra = fits_spectra.reset_index(drop=True)\n", + "print(fits_spectra)\n", + "print(fits_spectra['telescope'].unique())" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "67075f92", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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zisjsC13ToiowguqYY46xprik+NdTobJtbKO/9pvtCnas9loBmldffdUaey+//LIVyRNoTOnvdJSWIAiCJvSKLIIgCEJ5QSYKCdPrS7HBAmJaeDG82gztdfK8cC5oihc+7FFU8EGNXlszDN6OfnAMtaBauLDYHudLZygrvYWVgQKfc2nT60uRTy84BR9DrRkBwFDZYJ7S6oT9zPBzVsymeGNhNycYscHQbnqPA/U7l+koiUjhb7wQFiwkLAzISuDBiq9Fqg32/Tuh+4mpAExDqQy8bljJnKLVSbzQWFPdYfMmJ510kvVat26dNa5ZTJLveZ34Q48peuOrC0aDhHLPqMvwHkMDnFPlfS7jtadn1tBFB7ncnBVA/5YpT4RGS76qAo1mFPr2wn+6DTS00JDFCAve1/y1n8fGIpz29julG+n222E7mFbAc62Nei+99JJjxBIjEiJlFBYEoWEhpkBBEIQwoRebU0T5e0CjkLd7SRlubQoAeitpIKDhgA9zDMll2DDznu0eOgplPfWTroY+Y8aMCvumJ0p7oAgfWLXnh2HhgcKyNdpDbBdbTiHo/qAQpRGE+e78X+fO0xjA/GpOeRhqaD/TIPQx8IGWXrxIwJoFDIVldIYTTJVgfriOBuAxsU+YjmHy33//WX0WaSMGq+uvX7/eZxnPOVMltOjmfkM5T7ougO7HWbNmWWkiwWCUh33/ZN999/X7G37HHH72ix3m9bOaeTC4DR4b00H8GWOC5dSHi72PGNJNYw5rb7DiOuFsAIyuYC0NXqeBYA2EcK+bcAn1nlGX4f3yuOOOw59//ukTncJ+Y/0LGls0NNRRRNtrNPAzt8Pq9pGCEVw0fNrRs1xo4xZhGxcuXOhzrnksPCa2SV+jnGaQsys4tV9vxx88vjfffNOq3ULhzzHo5PHXbaAhQhAEwUREvyAIQiXg9FAM+zUfvCgU3n77beuB0Z7LS28VH8L1+iyyxZBwswAXHzL50KYLcRGGwXNaN+aOE3p3OEUdH/QZ7qlhkb3Fixf7iCE+YGrhyNoD2ksUCHrWunfvXh6tQBg6/v7774fcNzx25kBTeJjinu+ZIkBBrafmCwaPgeHk7A/mL7MvIgGPk55+huqyQJ+ZukAvMwsXcupFelHN+cDpXaeXTxshuA4NMZFql4bCmWH7ero5GkpoJDKLQTKNggUTGXmiw71paLFDIxF/o8cCUwL8CWoT1nHQxoG1a9dahi4aQvjyB0UZx/Z7771nXQ8aGmtoYAllnnoKG7aZ9QlMryhD/lkwkWI80kYWjjPCPmKEA1NSmKrDsco+1ekGXMbzHyy6gtch00iqe+q0UO4ZdR1dNJTTCfIY2Ne8rnhOeM3ZxxbHJQ1XhAYZXr9cT3vUIwXHq2n4Yn0SFnFku0wDwzXXXGONV7aZbecx0DhEoc5j0+h79w8//IBvvvmmPHqG6/B+o+81/mAf8T7A9DGG/DNtwS78ea8mga5RQRAaKTKJgSAIQngsXrzYfdttt7n33Xdfa4owTm3WqVMn95AhQ9xPPvmku6SkxHHaubffftuaeqldu3buXr16uT/++OMK2545c6b70EMPdbdt29a99957W9ODff755xXW+/HHH63vuF/u/8QTT7SmVTPh1H6clo7fc7+cOuq1115z9+7d25rWqX379tY0anpaOfP4xo4d627ZsqU1jdQpp5ziPvPMM63fcH3uOxh6CkFz2jBOV8gp9uxTa61du9baLqf644vv9fRenDJu6NChVn/169fP/fXXX7vnzp1rrRMbG+vOyMiwps0jnKqPbQ6nnWzf+eefb51H/oZ9NXr0aMdptcjTTz9trctp+th/5557rk//cYo3Tm/INvD/hx56yP3LL79Y2+Yytu+kk05y5+TkVDjmbdu2+UyDN3nyZOsc8xzyPD/77LM+beH0cRdccIG7TZs21lg57LDD3HfddVf5vidOnOgz/Ren3GMfnnDCCdYUZGeffbZ1DFyfY4Jj96qrripvP6cJ5FRk/fv3t/r59NNPt6ZHI7r9XM7zwPd//vln+f7effdd91577eXu3Lmz9T+3w/MWKhs3bnRfdNFF1rH37NnTOj6+2L4dO3b4rGsf05y+jlMD2vuXUzry2jLHyEcffVQ+9RqnOmR7uS2eR30NHX744eXjg/9fdtll7uzs7KDHwPZzqkInFixYUN5/ui3s/8oQ7J7x2GOPVbjmp06dak11aY5LvtfTX/qDU4JyPb09/TtOQWqHy/id7m/+hp/NaUXN/uA9h+e6e/fu1jXCqUKd4BSMHMccl7wvPPjgg+XTiwaD1yrboI+b/c/3nKbUhGP1yiuvtPbBfbFNvC4uueQS96ZNmypsl21lm7kej4HHwmNygmOK54nb5vo33HCDzxSneXl5FfrNnJKRx8prl9/x97wmNLy3ciwIgiDYcfGf2jY8CIIgNGS0V9sMvRcEf5x99tnWWNGhxEL9hBEqnFWBEUGc4UMQqhNGlTCShtEp9pk3BEEQJLxfEARBEAQhwrD2wldffYWLL764PAVDEKoDpjmwNgLTy0TwC4LghFTvFwRBEARBqAZGjhxp1YhgIU9BqC5Yz4MzpbBWiSAIghMS3i8IglBNsKDWySefbE2DR7p162YVt4v09G5Cw4DTdrEaO4vmsWBcnz598NxzzwWsli80TFj4kIXt/MGidoGmDBQEQRAEExH9giAIgiAIgiAIgtBAkZx+QRAEQRAEQRAEQWigiOgXBEEQBEEQBEEQhAaKFPKLAGVlZdi4caOVY+dyuWq7OYIgCIIgCIIgCEIDx+12WzWB2rRpg6go//58Ef0RgIK/ffv2td0MQRAEQRAEQRAEoZGxbt06tGvXzu/3IvojAD38urPT0tJquzlCNUd1bN26FZmZmQGtaYJQncg4FOoCMg6F2kbGoFAXkHEo1CY5OTmW81nrUX+I6I8AOqSfgl9Ef8O/sRcUFFjnWW7sQm0h41CoC8g4FGobGYNCXUDGoVAXCJZiLiNTEARBEARBEARBEBooIvoFQRAEQRAEQRAEoYEiol8QBEEQBEEQBEEQGigi+gVBEARBEARBEAShgSKiXxAEQRAEQRAEQRAaKCL6BUEQBEEQBEEQBKGBIqJfEARBEARBEARBEBooIvoFQRAEQRAEQRAEoYEiol8QBEEQBEEQBEEQGigi+gVBEARBEARBEAShgSKiXxAEQRAEQRAEQRAaKCL6BUEQBEEQBEEQBKGBIqJfEARBEARBEARBEBooIvoFQRAEQRAEQRAEoYEiol8QBEEQBEEQBEEQGigi+gVBEARBEARBEAShgSKiXxAEQRAEQRAEQRAaKCL6BUEQBEEQBEEQBKGBIqJfEARBEARBEARBEBooIvoFQRAEQRAEQRAEoYEiol8QBEEQBEEQBEEQGigi+gVBEARBEARBEAShgSKiXxAEQRAEQRAEQRAaKCL6BUEQBEEQBEEQBKGBIqJfEARBEARBEAShBti1GVg2FXC7gbIy4N9PgFkfAXu21XbLhIZMTG03QBAEQRAEQRAEoSbJywbiEoGY+NDWXfwL0H0kkNrCeR2K+JV/A5sWqW0OPAqISwbmfwe06g0kpQNTnge2rVTr//m67+9bdAdSmkfgwATBARH9giAIgiAIgiDUW7atBvZsBToOAYrygaylQNOOwM71VONAbAKw5Feg72GAKxr48g71u4RUYOxNQJM26nN+DpCQAriigLxdwK6NQPNOwIdXq++3LAUGHQu06gm4XEBpCTDtbRdW/9MCxbm+AdSLfgrvGNoOiEhXCIIjIvoFQRAEQRAEQagR8ncBZaVAclPAXQasmq5C3nscoJaRnCwgOhpIbub1otNjvmMtkJAGREWrbayeoYQ6hX0orJzm+7lgN/D1vcCJjyoP/I+PAr1HA91GAr+/DGRvADLae9ffsgSY/H/qPZfn7QAKc10A+KocNFTsfwEQJUnXQjUiol8QBEEQBEEQhKBQpBcXAHFJ4f2upEj9v2qaN6w9KgZwlypBT+Z8iRqlbX9gwzygpAD4+Fp1XNpDb3rpd65z/r3T8n7jVHQBt+sEjRWjrwba9FV9yYgCQagJRPQLgiAIgiAIQgPEFJYU11NfBFbPBI5/CEgxvOhZy4DoWKB5Z//b2r0V+ORG5VXf9xygxyjlKd+4EIiNB9bMArruB5SVKI94r4OBldOB2Z8p0c/ts3CdhuvVJIfdAMz9SuXc07PedV9g6W/AX5O8gj8Qw04DVvwJbF/ju3zczWXILd2Oth2bIT5JdXbOFtVf6a2AghygeRdvXzMtgIjgF2oSEf2CIAiCIAiCUElMIUdRaw/TNr+PuNe9UBWNs++ToerMN//jVSAxHRh3E7B9rQqlJx9fBzTrBAw4EvjtBa8Apxe6MBeY9aEKre80THnCKWCX/+Hd/l+vqxz57at992uuM/dr3+9Ki73vW/UCNi8G0loBw09Xn//7DJj3jfqeIfZs99aVwLr/1LIBR6nieNwORfXX96jlFPA0VtD40LIH0LS9t38YdW/2fcvuQP5uIDlDfe4+CoiJA6a+5PX+JzVRnvj4FOCHR7y/bd0b6DNGvWe+/6YFKjTfiljIKrXqBmjSWqoXMYvzVcc4EIRQcLndOqhGqCw5OTlIT0/Hrl27kJaWVtvNEaqRsrIyZGVloUWLFoiS5CuhlpBxKNQFZBwKDX0MsiBcSaESf0V5qsAbRT1FKAUlxd6CycpL3nGwEsbMOddQEFIIrvlHeZK776+KwOm89apAQf/FbUr82mnaAdjB0HPjCT+9NbBrE2qVmAQgoy0w6n9AambVt7fsdyBnM7D3CVUX0zyfe7b7tovGhbf+5+3HCc8BsYkVfyv3QqE+6FDx9AuCIAiCIAgNBnqHGcJO8UtBTo9rn0O91dY5/RorvdMTzZBzzo/O4nKs5E5R126AEvb2MO5AMLS9wrJ/KorUzUuAsTd4C9QV7AH+eEVN19ZvrMr5NinO99SIcyujAo+JLPjeWfAT0/CgiZTgp/HgmPuAv99Qc82TfU5X7c/dpjzmbCNz/tfPAVr3AQ67HtUCjSiRgqH2dkMEx0ZGO2/uvpPgF4T6goh+QRAEQRAEoUYoKQZW/qU84/Sg65xzivFohkmXKceqdpiyevrPTwF9xwId9gZ2ZylBnt5GCc05H6SjYLsLRblKSHPe9fVzK+535vsqr1rPke5E4R71f6B1AsHQ8N5jgIWTlXintz1vp+86bP/kh1WOu/kdBfLcL4FTn1XGgqQMFX7/2S2ePHi3yp+PjgNKPUXxSGZX1Q80AjjBOeW5T83gE1ShOXsV+/0vVLaFpVNVePt+56rq+DwGhtxnbwQOvU61i+dmxFlAh73U/PPM5yfNOgATnvds0A2s/S9wjYD6AGcUmP62itgQhPqMhPdHAAnvbzxICJdQF5BxKNQFZBwKdo80w7fpTc/dCcz+XIlCik5WMmf+NqdB+/UZtT7X5fznXE74O+aPUwjToz3yfKBNH5VvrvPQqxt6jims2SaG41v54R1UjnuXEcC2FWo++C7D1Zzqlth1KRHslLfPPtm8VOWH06Cxfh7w02OhtYVGg2ETgGlv+l+HBoBTn1Y56Rq2/fuHgBbdWGBOtenTm1UYPAX7SY+pfPTNC4F2g1Tfch3mtku+eUV4XhmhQeOFrhVgR+6FQn3QoSL6I4CI/saD3NiFuoCMQ6EuIOOwccC8ZopwhmszpJtit9dByltMkdikLbBujhLzLAbHfPXcHVXfb7OOQM+DVGX1UGHkgPbWn/KU8jS3GwjsXKve04NN7zXD/dn2jkO90QVmJXWrqJ2rYqh9VeET93cTVcoBYaE6Fodr2hH454Pwt3f0Pc5ClAYLGgT0ZcnIhTlfAYNPBJq0qeJBCBWQe6FQm0hOvyAIgiAIQgOBwpSV0jPaq3BrCsj4ZFW9nfnqOsQ6mIBnnjKL0gWbZ50ed3q1GRZvhoevmw0s+82b705xbua+hyr4WXGeRfIIRbg9P52V5me869lHJyWQuR69/1bI+bdc7ka/k7PQpn2mJbbowV46RXnsmZ/PKeVIUn8Veu8P+9RpLNBXHdDQMOIMYPYXQN9xQIuu3u84X/2sj/0bMzj1G6MNpr2llnEc+PM820PRmdZwyJWROgpBEOojIvoFQRAEQRBqGHqc6VGm+LUXXNNTmf37CbB1hZryiznv+dnO22JROuZg2+FvKTAZss5iddoLTij6Ge7N78ZcrYwKW1cBG+erfW1a6JnyzAFT5JvveSz8DY0LFN30Nu99vMrfZ84628IcaU7HRpGbk6UKw+mwcuaN03jx9b2qsB7z3snhtyqPvIbee06d5opxY+tWb8BqUjow6BjUaSjWD7qs4vJeo5Uxg2HkzJP/+m7Vl+yfo+70jpNeB6vCcomeKecEQRBCQUS/h2+++Qbff/89kpOT0alTJ1x00UW13SRBEARBEOo5DLVmTjs98izAltkNWPCdt5Ba532AISerecO53o8OOd8U7IFYOR0YeqoqYmdWk9f5807Q288X+eru0I6F+fkFOeqYGNbfb5y3ujyFPcPniU4cNXPEOw1VL40rpmKouf5Mz7Sem5256abg11AEWwXuGgg0dhxgPHqe9aoyfPA47YYhGg4EQRDCQUQ//5ju2YOrr74aCxcuRExMDEaMGIExY8aga1cj7koQBEEQBMEQ4ot/BTK7qHB7y7Mdq8Q2C7fRk85p44LBQmp8jbsFmPNlxe/pjae3t1VPICFNeb9ZIC+xCVC0RxVtY5E25ooPOUmFgX/sMEUaveMpzZRgZ46+ziu307In0LafmmqNHmVOKdd/nPLeU3zyf+a620PiTapaEC7TEP2pLdFoYUqDIAhCJGgwor+oqAh33HEHHnnkESxfvtzy1pt89tlneOCBB5CQkGDlfT333HPo27ev9d20adPQuXNnS/CToUOHWl7/Sy+9tFaORRAEQRCE2oPzuNMLTs8zvdYUuhTzzC0vzgPmf+c8L7tm44KKyyiUGdLvj5nvAdtWqfc0ADCnvnUvJfT9EZOhit3xtxToPz5aMbd74NFA1339C8iNC1URufaDgK77AWktfMV3+b483mYaNqobRhFoaMQQBEEQqkaDEP2rV6/Gqaeeih49eqC0tOJf1BkzZuCss87CrFmz0L17d7z55ps47LDDsGjRIqSmpmLr1q3W/xpWPuQyQRAEQRAaJhTyfNEjT2G/ZzuwapoqAvftAypPvqq06gXsNR5IyVTh+/k5KgeeFdu5T4atb10JfHufV/CnZgItu4e+D+bH0yuup77T9DoEGHpycJHOwnhHhxjeX1OYYf8s3icIgiBUjZiGEp7/1ltvYf369Zagt/Pggw/iiCOOsAQ/Of3003HDDTdg0qRJuPzyy5GZmYndu3f7TH3Qs2fPGj0GQRAEQRCqDxanY0g6Z9Six/27B9VUZqzqzuJ1Og+dxfPCgR7yUczFLgOylitBzxx3htDbvdSJaUA7WxX5Zh1UOLzePw0E4cDjGX0NsPx3VRhw6VQ153rfQ1FvodBnvYAtS1WagSAIglA1GoTo79evn/U/Rb8TP//8sxX6r2F4/+DBg/HTTz9Zon/48OFYtWoVSkpKrBD/mTNn4sorZW4TQRAEQaiP5O70htQzLP2/T4GFPzivy+J5oTDiTCCjg/Kos2idU9i5OS1cqGHp9MQnN/dGFrBYXrjExKqq7oTT9zUEWJ9AEARBiAwNQvQHYvv27ZbnvmVL3/iwVq1aWeKepKSk4LHHHsMVV1xhVe9nKkCgIn6FhYXWS8Ptk7KyMuslNFx4ft1ut5xnoVaRcSjUBerCOGRROitEP1HNrU5v+S9PubBhbuUryWV2dVue+sEnuC2vOwv00Xig4ZRqJJKHnZjmwp6tqs0pmWUR3XZDpi6MQUGQcSjUJqGOuwYv+vPy1Hw08fG+853ws/6OHHnkkdYrFCZOnIi7766YAMc6AAUFBVVus1C3L6xdu3ZZN3dGjAhCbSDjUKgL1PY45Bzmfz7VDHu2VL6yXGrrYpQUuNBuaD5SW5ageY9Cy3ig2VOkcv2rG1c857pLsN4XIwdZWfIsUR/GoCAQGYdCbWKmqDdq0Z+UlGT9b3rm9Wf9XbjcfPPNuOaaa3w8/e3bt7dqA7AIoNBw4Y3d5XJZ51pu7EJtIeNQaGzjMHcHsG420G4AkNJcLZv6kgt7tgT36Lfs6UbXfd1IbqbmkWehPAp75vhHRUd7ppdLRm3SJNOFLM/7zNZpaNFCniVCQe6FQl1AxqFQm3BmulBo8KK/WbNmSE9Px5YtW3yWb968GV26GHPRhAGjBOyRA4QXulzsDR/e2OVcC7WNjEOhIY1DRifuXA+kNAWi41SF+7X/AsumAnHJ3nz3Ge8owW79pkT9HxMH7HWcWq+kQM0r32c0EJ+ipt2LTXDBFVXROBAVhzqDmcefkML+rM3W1C/kXijUBWQcCrVFqGOuwYt+cvDBB1vT9WkYfvPvv//i1ltvrdV2CYIgCEJjg3n3ulo9ve2zPgQW/eR/fQp3Ey32SYtuwOEB/pRzOr76gDlFXVxKbbZEEARBaIg0CtF/0003YcyYMVi+fDm6deuGd955B9HR0VbBPkEQBEEQagZOlffV3cDOdaH/Jr010Kwj0KYf8Mcr3uVJGcDwM9EgaN1XGTAK84BUT/qCIAiCIESKBiH6i4qKcOihhyI7O9v6fMopp1g59h999JH1ediwYZg0aZK1PDEx0QqDmDx5MlJTU2u55YIgCILQ8MjfBSz6GegyHFj3H7BkCrBnW+DfMGyfL+bdDzoWSM4AmnVW09FpmNPPcH5Ow9eQ4DGOu0W9VzUGBEEQBCFyNAjRHxcXhylTpgRcZ/z48dZLEARBEITIUbAb2J2lPNWsqJ+3E/j4evXd3K+C/56GgX0mqBz8YHD6vIaKiH1BEAShumgQol8QBEEQhOqH09flbAHa9FGfS4uAD29WRYQo3HdvBRb+EHw7h90AtO5dzY0VBEEQBMFCRL8gCIIgCCHx6zPA9tVA2/7AIVcB8z5OL/9u+jvOv4lJAPY5DWi/F7BxvooGEMEvCIIgCDWHiH5BEARBEAKyeQmQmK4EP9kwD/jjVRc2z0v0+5umHYBDrgCSm/mG8guCIAiCULPIZJKCIAiC0Mhh1fhtHkFvZ+1/wPcPAp/d7Lt85V8qCT0uyY3jH6447zwjAUzBLwiCIAhC7SCefkEQBEFopGxZCuxYByz/Q3nxx90MtOzhu860twJv44g73Eht7q1C1+MAYN+zq6nBgiAIgiCEjYh+QRAEQWikfDfR9/PKab6in4Kf1fj90WPsbqRmJlvvR10IrJoJ9Du8ulorCIIgCEJlkPB+QRAEQWiEFOVVXEbRz+n2FvwA5G4HFv9ScZ0jbve+bzMov/x9lxEqhz+tRXW1WBAEQRCEyiCefkEQBKHWKCsDtq8CMjoAMbG13ZqGxbo5QFpLIL2V8/ecXs9Ocb56zXwPiFcO/HKiooGu+wKZXYARZ9FoUIaE9LLqabwgCIIgCBFDRL8gCIIQELcbcLmAslIl/Ozztv/zAdDnUKBFN7Uu4fr26u8r/gL6jQXSW3uXL/oRmPm+en/as0BxIbDkV6DnQUByRnUfWcNl60rg5yfU+7NfV/9zqrz83UBSOrBzPTDl2cDbWDDZ+z4qBjj5SSA2Xn3ueaAy2GRlVdcRCIIgCIIQKUT0C4Ig2MhapkRT7zFAVANKgqJo37UJaNJWFXBLSFHvnQS+Ge499UXv5wMuBv77DMjPBo65T83Nvu4/YPVM4PQXgG8fAHasBfoeBgw5Wf0mdwfw02NASZHaL73FvQ5SolELfvLXG0DOZvX7LUtUUTmhcmxf431fUgjExAN/vwks/Q1ISAMKcoJvY+c67/uR5wHxSdXTVkEQBEEQqhcR/YIgCDYoXAkF6YTngdgE5/UokFf8CRTsURXL53wBxCUr0dx1RNWmK7OL71Cgl5w/ocDTrP0XWPgjMOxUYNNiFbbdYW+1XEOBPvgkFWa/+Fdgw1wgoz2waWHFffz2vPf9jHe987aTty/y9RLz1ba/mtNdQ1H/36fqZWf1DO97Ggf2bAN2bQZiEwF3qW+BOfYPw9NTM8Pvp4YIvfilJUBMHFBaDEx70/vdhgUqP5+Cn/gT/MzJZzG+L+9UhhcNjTnmmBIEQRAEoX4hol8QBCEAG+crkezyePy3rlDiiZEAedlAUa5avmyq8qJr/v0ESG8DDJ8AtOiuvOPMhZ75AdC6N7DPGcoDG5egQqdNcncCX98DdNkHGHoKsG628s6WFACtenNbLuTuSUHm6d7fFOYC39yntnnUXZ4w+zLgl6fV90umqBB7Ygp+U6CbOAl+O/btOGEK/nBhQTkThv/HebzN875RfUyOuUcZKRoLRflAwW7fgnmMuFjym+qLwj2+6//qGQPBSEhV/ydleEU/DS4i+AVBEAShfiOiXxAEwcPvLwPZG32X/fos0KavEt0r//b/W1Pwly/bCPz3OdBuIDD/O+/yZb+rF2ndBzjMI27nfKmMAxoK8WV/eA0LZL9zgHlf07Wdgv6jy6yQfYbC0+uu+eDKim1hnnx9h5EKHfdWhea04CdzvgKGngos+QXoth+Q1kp5vilcm7QDokP8S+evHkFd45MblLA/7kFVqI+efV1ln2kWTmPRH71HA4t+8hX9iene7/UyQRAEQRDqLyL6BUFo8DAEnaHgnYZW/I7h40lNVAg/C805sXFB1eoDmCLKDj3qzHVnKLsp+DWm4Cd/eoqyEUYA/PsxGg30WI+9CVjwve9yCl2+yPI/gfEPqH5iukC3kcB+56pigynNlcilQUBHbmhoPPnmXmXcGXMN6jTak795sRL9NIKU4wZWTVdvGWHC8ecP9kuX4coAxQiRpp5oCV4PGn+pLYIgCIIg1B9E9AuCUG9hDvO2lSps3h4ib/LV3er/mATgoEuBtv3UZ3qCmb9MDr+1+tq5dlbg7395qnKGhX8/Dl5lsPv+3qgCO5x2jQYRnesdqkc4VJp1BJp38R9loEXpwKNVlEMofP9g4O/zdgLvXOz9vPwP5QnXQpjT2HHM7H8h0KqHCl8nOzd4i9+VlQQeT7UJ26bRYfc0Gmlmf+F9z379a5LK5yeMWMlopwosMjVFz45wyFUqz58RKSTREP0S2i8IgiAI9Z86+lgjCEJjhznq9HKnGnnLdpjHvHQK0G+cEq8UaqOvVuHZJcVA9nqgWSfv+syJn/62CovWlek1rGweKdoNANbPrRg27o+qRBIEg4X0TNEfHaeMHj0OBNr1VyLZn+g3C/5RKHYapqZ643RtFM6sIaDFJL3jv7/iTYFgcUDWIyCDjgXmflXRaDD6KjXlH3PIQxX9lUELfl2jgXA6OxZaHHYasH420HU/7zrFRUB8TN3K4V81Deg4GCgzxhJD+lkQkcYbJ3ieD7kS+PIO9fnAS7w1EczpEFv38v0dp/TTsDCgIAiCIAj1mzr0WCMIguDlw6uVh/bER4Hkps7rUPATM1+e4rLXIcB7lzn/JmeL8u6Pu8V3znlzerJwYM4zi6ppOu+jvMjFBcCnN/oWVeNc9gt/8L8t5qJTUJvT2FWVVj19Px99F5De2vuZgvvY+4DoeE8otxtYPwfoOFRFKGjRz7z4lt3Vi2R29c7/rtlnAtDrYGVYyDCmAkxMU9/1GAXM/x7YsU5FAVCANk1S4fZOMPTcNMyEE8UQCvSA6yJ35nZoHKrp6eloGOLsCaxBYBfarMTPflg1A9jHKN6oQ/dp/PJHkzZAy57qGtKCPxji6RcEQahfbCgDBmQDB8YAH6QCTxQA3aOBY8RwK3gQ0S8IQp0MYabgJxSI/kS/E8yLZwhzIBjWT+/6SsMDHC7xycCpzyjByvnlmUt+1B1A0w6e75NU6Lgp+oeerD471Q5g3v9xE5VRojKiv0U3ZVSY8pzKV+8zRuWzM0edYdusGXDUnUB0bMXfNjEEOuHvCD3L9M6bU+UF6xO2wx+ssL//BRWXs719xwKLflS59eSou1U0QSDRz/7lyyenPQJw6sNNi5ShgykIGo4ZGmZSqjAVoz9owGK0CSMzzJoCNAboPmAOP4tD2glUuI+GrXE3hdcWs3ifePoFQRAiz8xi4Isi4NYkIM8N3JwHHBALTIgHdnPKXpbrDaOoLAU/mVICPFUATPT8XXwiCXirELgtCRjl8PdfaDyI6BeERgY92pxujl5SezGzSMM52VfPAnofEl5BsNwd3veJfqqH//Oh/9/raeoCsfIvYM9W/9/vfbxvhXhC8UwvOCn1iFP24b5nK0Fv96Sa+dd6XbMfKMi0yNW/Nb2shJ7d2HigTX9lYOB6/37sRmqXHVgxuSl2rHXhyLuAZh5jg937ThjiXZmq9PTyHukJDa9u2H9MCWCEB592eDwcP8GMDMfcq4r0sWr/T094v2Povs5lD5e8HcAPj6j3PQ5QYpuGpDWzlJFhwnOIOIt/dZ7iUI83DY06odDKFrIfDhxvmrpa20AQBKE+M9aIEExyAZ8UAp8UAYfEAgfvUqL/x3SgpQv4vQTYJwZIdAFzSoAMF/BzsfLkN48COnme5eIK1f/TDHF/VZ76/8F8Ef2NHflzLgiNjC8MEUdBU518dqsSqqwwf+IjSoiFms+vyVoOuGKU6HKXKk913i7fkP7KQAEXiDZ9gOwNvp5men13rFFF0MyweYppp9Dp9oMqFrEzDS17n6AEq+ldNwUXjQlO52joqW5kZRWj8zVulBa5rKr0gajrU9BpWDX++IeBuARvTQEnuJzpE73HAHGJKlfdhH3W/3Dgkxsr144/X/O+1/UOGIFBGFWwdKo6X1ERNJo5GcVYXPDnJyu3Pda5qCwseCkIgiD4wpoqeQ4e+D+LgVxXLA50A7llwOM7gBgXcFtT4JtiYL8YJc7J1GLg0lzAVQak5QAvJwOxxUC77UBOGnBuDLArD4gvBO7x/O75QiXom28DdmYA+Z7njegSoNl2ID4FcCUCrTx/p1bTgVAKFMYDZZ40xuUeB4PQeBHRLwiNFFb1ZmV15gPvNV6J2N3blEjtM1rlelcVM1f724lK+IeC6cWf8Z76nwX5WKyPoccMBa8q9GDaPfEa7iOjAzDyPF/Rz+iITkOUEKRXOhiDT1Bh+wzp7zysYp/0PVSF1uduU9vWdBwCbF4EdBgcePv8Qx9J4VkXSDUMGAyvd2Lv4yqmJOj+5rlh1XrWETDhueSYZmpHoCgRe6SJE3+9DhTuBvofgWoV/V/cVvntcSq/ymKmgNQXg5EgCI2H9YVAy1jgvW1AQhRwUnMgtxSYnA2MSgOm7wZWFgDHNwcW5AFvZgFDU4A/dwNL89X657YAvt4DfLcLGJUBXGGLstPpVSfvAOZvAaJLge3NlJD+JR0Y6Pn7tLEMOC4nCk2zmyHJlmrFyVSyc4DkXKBHJrAqHlhbCkSVAe02KG9+eo53/Sa7gOlpQAdPFOI3dHIkq/dNaUgoBTK3AWvbK0NBUh6QQO8+jQJG0ePiLUCm5/3aDkDKbqDABTyXAFyUAETJfb1RIqJfEBoxPz2uqrdzGjSGhU9+SIW8Uxgdeq0SqOvnAc07VxRR4RJqqDU9+wyntkPBT1g0b9ZHqDJa8NOAYM77zpzto+6qKDjpOWUf8DXkpND2Qe//oGNs+y3z9fqzgr4deq7ZPqf8e8G3EKEJRbgpxJmewPnn+b+OpOBMAzTYvHFe1dqw5LfqF/3hctgNKuUhP6dqot8U+lLITxCE6mZxHpAYDXSM9xXcBW4g0TBsF5cBD28APrI9T0xc77zd17K87+d7wtzJh9vUS7NkD9AqAUiLAjLdwN6eWiZHrwHWZwO6WS092ztzPbAnBeiVBpTGKAHvyDpA2xIW7QCyWgAttwDxxjSrmqhS5ZVvbRgOmvM4bccaUwx0WKvS4Ex028pxAy2ygIxSYKfH28+ogks809QKjQ8R/YLQiKAAMqHgN9E57roqOCuaMyKA3uqTjXzpSNYXmPWJ8uKzaBu9sd/ejxqFofEHXwHM+UJND8ip6cwQew2rzUcCf5Xq7aJLBH9FAwpnRUjNDL0WBeshMH2CEQAm5u8rWwiwyHiAjATmTBJ82K2Mh711b0QczsQgCIIQKSjc6ZHPo7c7DuCfxCtXqv9vawe0iwdm7AZ+zwHWFALFbuXVj49Sn6sDetCvywKaZAPRZcCwJsAMT2E8J6LcQNpuYKORlx8MeuQ7+JklqOVm4KQPgWnDgZmeqEAnYouAC14GYkqApy8H3ObfQjdw+LeA2wX8OAa4/GllFyiIB55jCpwL2Df05goNEBH9gtCIKAxRqDBPmsJDz6uevyu8/TDf2km0sNDaIVd4Rdc39ytDhC5WxurlNQ2PtcNe6uUEK96z8CHnqK8p0S844ALaDwzvJ91HqgJ/TmORM0IwjJ+e/zX/hN+cSKdVuAzRzwr9zOevC1QlYkAQhPoD/+ZTYMcFuLeV0vteBkzNAfZPA1KM+5Zmd4nyqjOEvGciMHmnEvlt4oBDmgAPrAO2+Umtu8+Px36zZzafYOQlAkVxQGm0CsNP3Q0UxwIuN5DhEfHbPCH6DI3v0wQo2g5s3w00M9K67IJ/ZxOgjwvY5HGUlEQrcR1rO46T25bhjW1RVj5+ILst+yY9DkjOAtanAQdOUdva/w8l+lttUjn9azr5/q7VZk84P4CrnwCevUQZAHiM/L/XEvXdjqbe/XP9wyYDf+4H/EWjQzXMPiPUD0T0C0IjIlTByZBezne/088fYDusBbBxvhJYDF9/52LnmgAU97+9AKyeqeoI2CMP9JzwkcapEr8m2NzljELgK1JIuHTlqGxuub/fjb1RTZ3Ya3Rool+nCng3jIhitvPzKuTyR4qDLlNpNrymBUGof2QVA6nRADU8i8pFuyqG1L+eBVzSCmgTD1y+ApiXB7zbE/h+J/CCZ/aU45sBOyks3cr7bkIhf1wzYOouYG4Qp8J/ucA3tujCYOQnAIkFFZcXxwBFsUrQbmmpRD5FuP2+vLMp0CdaVb7v2BK4PFGlCm6cDnQZC8TFAO/EAA8VOofcJ+QDF6wE+rUBBo8Coj0Rf0tWAKyZ90gcsDQXOCqjDJft3ooMVybyM4BuTwM9RwCTBgAjmwKbdwFvbQUGJAFXtgF6cxaeV4CVfwBtjgCKkgCdbfBWE+C/x9T7A+8AljUDrl2jPqcYUwCTa98DCnYCe5KBr47yLt/PNi1w34XqtbIzgEHhnQOh4SCiXxAaAZwWziqCF2JePoU757s3WfSzmnqPc4LTGMBic1qosOAYBVFBjndec3vqgIaCn9i3X52Y847badIONcrAo1T6hFm4T/APxxg9UJFKr9AwlWPQsRWXxyUDRcbsEZoDLlLRAV/eGb6nn+3/4xV13Yy72Tl/v6oRIPtMQETpOFi9BEGoHCwst7sUaBVXfdt/fKPKeaeo75MEzMsFfswGTskEntkEDEoGthYDu0qA+zoCH2yrKNz/3q2E+3SPoDx2ke/3nwSox7OxSO0nXHZkAGVRykOdUKC884UJQPIeoGkukJQArEgCSmJVhXqKei3omdPO357yPjBsJvD2BOCfob7bPykOuL4UWDYXKPoO6DAUGHCserb51jOD0eyPgP3+B5y9HzCgO/DKOmBDCbCiSBXau6ELkHg7kLcdoAO9eCmQkA60HQDMeFBt492XgQVRQP88/m3IRHFeFAZkqOefJeuAZw4HCnYBWZuA/eKAQd1UmkJpkRL8Vh9+49v2eI/AJ1PuAdoOA1oOAgqSgHFG/SFCwU9ScoFT3w/e71Y/Co0WEf2C0AiY+b4K1dfFzIJR6hBKN/1toNfBwGe3qM+jrwbaDVDvtQd006LwUwEiTWZXYM92IN8Iz2N+/F7HAf99WnH9lBoOdWN9hKPvrtl91meOuhtY/EvFgojVxZirgW/uc44IiTEe3kOtK0BoKGNUga5joQ1jwa65UDn+IVWbQhCE6iG/TOWiM5ydU7L9mq1C3Atp0MsB+iQCXROARflAnEt5xZd5PNStYoEiN7CjBOiRANzUDhiQ7Ot5Z0j8+iIg1gV0S6xYqZ757zQgzMlVbXh6I7AngKHwiY3q/38Mz/BlK53X5XbfsBeBqyKZicCKGJX3nhwHLG6h8s9Ti4HCMqDIiHgr9txXKfhH/A38tS+wzlOxnrBQngnD4sdvB/p5HAinvwNcuxTYMhOIbQ2sugYY+RXw58/e32SvB+Y6OBr+fBFY+gsw5kbguS5AFvP5s4ExMwD3I2p6Ps3KP9X/C7/1Lpv+NNBnLPDJQ94/CKbDY/6XwLIpQJ4ndSB3IDD0TGCaMS2sneVTfD9vmAFMmIGI0LSKBZmF+o2IfkFoBOjc/OUey7ITWzzF+4gpmP0VL6O3Wot+cxo85r/XFvRMMiyZcKq9qS9686W7DHcW/TIlWd2maXtg37Nq1mjEGRxyPKGt/oraOYn+bauVYaBJG9/lZlpAqZ9cVn/L7Qw4ShlBzGgEFjcUBMFLTgmwulCJ62BklwDrCoEZe5TXvHkMsKUYaBoD/JQN7CpVoekkwaUqyttZmK9ewfLRlxYA5y4HxmWoCKDvHf7WPtZZFa6jUYD/n7JEGRoiRUpUYIOBJq0dsGaPNxeexgwK7q0MqW8BlMQAo4uBfRKA96KBATHA9jJgSjHA4vL0zHPeeXrl+T6+ANidACTlAhc/r76bM1B5+k8yZuQ58hvg1vuUJ3+v1UCf8UDsKGAya+vMB/Z8VbGtFPykeBPQ7no1T32obF0GvHs+cPSDwJpfgB96AtPfDe23G+eqlz/m2J45NswBsieqaXr9sW0Fqo3hfma+ERoHIvoFoRERqFL51uXBf792VvAK5JWphB4pBo032hLj2y4R90JQPGPEPlYYKdK0A1BsiHc+sJvkbAG+9kRwcPpLe3pNMHGvp5AMVFBv+Bmq8CDbN+dLtTxZijIJjQx6iulJp1eck5zQ2769GMiMB4rKVJG0i1Yor/tFrYAeiSr8nd70Es91+2oWsJZzm7uUFz5UnAQ/GZysppzj3PCZsUBSlGonPfO8/NOjgcEpyvOeUwp8FyC3/ZpV3vddEoIL/r8GKGPE0DlqX06UJQNRHsPFxK7AA2uBTYVAbhKQbBjzKeZbbgV2JwNrKdbTgPxEJfA1DH3n1HJkcgww2doBsEznxBv3T73eoZOBw78DZu0NDDZq9wz0I5jv99Q14W1x7ltMdAcYzGRLaY8oX97kefNDNe4EgQV/dTPgsNrbt1D7iOgXhEYEi5H5E+VZIYj+5X/5Fz1aXBc65ENHEnpbmQ9nZ+8TgIy2xno20e+U118dU5wJ9ZfyZ1Wb6D/lSZWHb3r6c7era2bLUlXfQteqCCboy/yE8QczllHcU/Dbrz1zqj9BqC+UuZUApjedoeUsFjclBxiYBPRPBv5lqHeaKkS3ogA4YbH63cg0FU5PWsQCB6a58OH2VqqqGip643UxOn/YBX9atMq5Zh68ZkSqqkJ/cDrwWw7w6hZgv1Tgng5KkC8qAz4qBU6NB/4pAZ4qADpEqc/dy4BtxUCfOGBUHNAtGjhoHpDtT53boBHBCUYKHJkBbI0B9ssBekYDj/QAvswFZu0Acmz3kw0ZqrbAHjdw1mag5Q5gRzs11zwr23Oquq7L1Vzxqzt57oGevqHgb74N2JmhQu37zwOO+gqYvg/w02ggOVfNG89txBarvHF695ttB/4eoYwGFPzEFPzVRXJzFa014lwgKg5Y/y/QdaRyBNBwu3Up8PPDat22g4ANs0PbbsteQGYPYOcaoP3ewDSbcTezbwG2LnAo2BICPUcD7QcDP/1f6L/pfZg6nnX/AIUhWEM67wskNalU84QGgoh+QWhEmELYzu6twX+/xTMdjM5BZlEczoNuChCnImiRYthpqgBgaQhV+E0xxPc0eJzIHL1s4NuJKpdfpwIIgj9Pf9v+KkJGF+877HpgsueB8dv71f9zv1ZFLv0Riqef0wcGwqfQn7tytQUEobphcTkO1WQWK/M8ZNKrzdB3hs6f20Llrr+/DfjUKBD3tYPn+8A04Lq2XsFPtODX1ek/3O4K6o1nTn2TGGCxH8PaS12BabuBgcnAqHRlVNtUDPy+SxXC65kE7CgDfiwG0jOAd5oCDxYC3XcDTE3XAUCfFgHp2UBcETCnBTDHTAjPV5Xg/0gHbm4H3LkOODMTuNgTbs3ielcESY1jnz7XVeXgD0kBtpQCE78HuhQCv+0LTHEB1z0CxLQA5vcHxn4PTDkAmDsAOPZzILsJ8Pv+wN13Ku8+K7mn5QDvnAbs+xew93/AuMnAd2N9C8Yt7umdCs6MDDjiW2DQbKCtp36AE4f8gpDodgDQtCMww5i2l2l5xz4ETL7fmxOf2V0ZQDvto0TyjtXA1GeA3Z6aBINOAPof7bvt7gd638fGA637AV1GKkfA4FNVnRXuN8t4vtH1d0acDyyaDLTsDfQ3quOT9LbAZE/9l8PuKENpUjbyVrbAXy9FoeMwNY7WeozBRz6gagroz5oeh6h6A3udpAzJJic8A3xzO5DvcG2MvBjoPEK93+ds4J2zg/WwKlooNG5E9AtCI8IMea/wXZgeQ4qQTQuAhUYoHP/IOUUARIo+Y7xhzXbMImskKrbisfFhga8JzysDiIT8Cz44jIfRVwWfcjGYl97H019SMd//h0eDi34avDTmNdbV8+AnCNXNe1uBv3YDV7VWYees3M4p23gfZZG7SVnAc0E8668YHvlg0PPPlz8Y3p8S5bYMDcNTgbbxLnSMVwXzKN7ZxlUFQK9EFfJPFuap7/dJUVXruX7HBKBLMvBOIbCgAOgdDewXC+zdFLg1D9i5C9hYBmy2/W2jV3zALGDAXKD//IrtW9cOaL8eyE4HmngK3J5zLjBhOPD3AFUjhylz7QYCGVOBqz8GXrgQGNEaeKAj8OJmNaUe6dAcGJIOXFkC8E9dSQ4w8kngJE/+9zHG38UWW4GOa1URvfFfqJfGXK/LKu+yTkbFeHuFeC34iZkKQAIJfjsUzpw1hTWDWvQA+oyr+ExCgb3bM0YOvxNIyQSOfwLYs1WlWSXaPNVNOwHHPgIU7Aa2LFIe+GBwvO53ofdzRnvgsFuVAeEbT2V/Vuk/9DaVVtV2oPN2eAxneIwUdIBkZQGdRijjBSMN2F46R3iM3OcBlwNvnanW53GMuRlIb+1rZNCMugxITAOGnAb8/mzFfWvBH85MMvK8I4joF4RGRCBPf7jQe2kX+JzXu7YMF3bRH23z9PusaxgEBEHjcvCe2z3p/sYfZ64whfz874FOQ4AmbYFS09NvC+9f+psqihlKQcNyjOuu/+HBfysIlWFurhL2LCh3w2pnbzuhcGbOerB52gPBy0wHszD/nmH9nBtec1lr5bHPiFECf1uJCu8vK3MjKysLLVq0QJRW9gBmbQXuWQ8ckAP8thLYORaYkAwkxAO9EoD9dgEr3EDKFqDVZiBzq6oc33IL8M4+wHkHq0Jz+0wH9l4AHEADgVWdDvhnMDAkSH0bQsFPtOAn570GzJoL7L4YmPmCb2i5y1MP5OjngFg3cEUbYGEhsHg18E9z4A/PvaPVJqDTaqBbgIJvFPyhYgr+UOFUtz3HANM9Ie5JnmnqTMxlI84DuuwfXKBSGP/2NLDXiUrQayj+A0GvPb3rVYH7O+5xJfgr+6xEYU0jgobC32TYmcpZQq+7ferW+BSgx8Hq+1ae1ENGNNBQ8q1nqljS6zDnttNowdQGXTOAhoMti4Htq4DMbpU7HqFhIaJfEBoRgTz94UJPv10QhZJXFgyKmHnGlDihRiTY/4DaC/kJQjD0GArkEfF3DW01HsCnvwMs+x2Y/TlwytO+3n17eH+JQ30KO827+H52V9M1LdRtNhYCG4qAPaVqurivdigRPCwVOKqpEsNO0Di7JB94frOqZj8gSc3v3iEeGNNEVa8/PEMJ6dUFwM+7gC+CRJ6YrDEKXDrBPPl3eqjCeU9vUuKWov70TGB9FpD5I5A6FOg2SI1tFtt7bhPwlUcwtosD9msOdI/yTnNHwa+PbffGGBRtAJrsBTyyFGhBI8SdQB9elxSMfH0NnH6BykdvvQm4PIDQHfW7evkjFMHvlH6mZ78Z/A/w5Y1AmUNBt8RC4Mfz1Pvc4cAhhwL7vQ5sa6Zy61uFESkRLv2OAjYUAjs90XvHPaHyxWe+XXHdg69R956ZbyoHwJibgLhkNa2d9ujHJAArfgMSM4B2g0JrQ0YH4FhP+lRtUN2FUZm7z5c/GKpvp1ln4NBbgF8fA7odCOx9SsV1DroGWDNDTd065QlvDYKqGkKEhoU8LghCA8f0xpu5xfzjsKcKVWS5rWAVxysDrd2BcBLwrXoBrfmEB/+F/ATBH4dcCcx4D9jfCPn0RygeoBV/e9//8iTQ82Dv58pcM/vaHwSrMYVGqH1YmX5+LvDnblU0jrAaPOdqt0Oh/u1O4NddwE99gaToiiH5D23wfqaxQMPq9pM907Hd5/FKVxbmw1/TBugTC+Tv8k4jyYr5SW4Veo0ZwLOjVQ71qr+BvGLAvQ7YlAdsmgasTQeGn6MMYd2+ARLHqSJww74FZj4IfDcC6L8H2DQPaNoH6DECmPYqLc+s667oHqCNF76MiMNwbnql45NVCDo94Pyby3nYGcJNjy3DwFkEdMda4PPHgNgdzoLfTvI04LsE4CAeoS3fW7PX1UDvvsDcL4D5XwHNuwaf8u3oicCP/6f+LjKn/L8PVUi6lQ9fDPy0EmgzEEhuCvQ6VL1WTQN2rgUGjvf1XjME3l0CpHnC1Bmyb9KdjReqDAX8KS/5/54F+nofCmyaHzgVTWjciOgXhAaOKfT5sKXZZwLw85OV3+7qf4BiP5WFw4EPS2bF/2B/qOwF+8jYGysuMz2gLrnTCQFoP0i9QimOx5DVYJjCnhX+u4/yH95v0qwTsN1hgml74EF11s0QqsaOYlUErq9xn+K0bXetBc5rCRyRobz1FPEfbQf+zFF58fd1VGHty/OBS1b6Vo8nToLfJL9MCfoD0pXQZlj+OSHMyBIIFtKjmG+aA5SwCNl+QEkn4IKWQHYxEBulpqcjfM/7+Hvnq88UlDTgNu8GrDM84yum+t9fwS6vl5JjnvO0szp8J8+0bs3/BjZ51t2xEJi2MPgxlA0BmmYD2QH6YujpSpxyVpiCHCCWhfvWANuWAxkdgXZ7qbodcYnq+qWwSm2pBL7dS63bvu8FFffDaT873gasvxaIcriGPz4eOOET32UHTQl8fP32Uv/T8MCXnn7XXQqs/BtY5imkN/ACYNG7StizAN34x1Q7+Xeyy77KQMEIJ6bJjfXktZt0Hq5edjK7Bm6fUHvPe+ZsM4JA5FFYEBo4/qYIq+D9DlNIlBQAa/5BlRjDkLRZKq/ZX5i+nb2OBaa+HHyWAAnvFypLoPB+e+2IUAgU3u+z7RA9M52HAQu+VyG0Qt3ixCWqUNxjnVQIO/PcGdJObl+rXnbm5SmP+9e9VQi+XfAThu4f2gQ4uqkyAHDbeuo7huq/vRW4OUhuNgvPHfIzkN4XGLYfMHknsLpQiT9GFxyUDvROVNPiUcSzUB5563r1f7P5QNf9gY3tgX/eBdoMAGbvAfK2K+++XXxwmSn4wyUjGxj9U2jrshJ9QQLQdhuQGa2maBt8lPda5qwtFOuWsN8NdD8ASEjzNfDRg80QddJ2gHqZxml9jbJqfGXZvxlw3JlAhyXAlAOBbs2Bh2YDl/QHdhpFEOf3BfotqPj7bfcBg/8G5s4Amul55W3o/O0WPYG+Z6l0iYwooP9Ib3+YEUtJTSt/PELdwpzlRQr3CXZE9AtCA8efyOB0OLXtPeR0aBT94QgfVjo+7Rngw2sqFg4yEdEvVJogD0uMClgX4tzOdu9LsEr/odC8M3Dc/wFJRrVnIbLwfshbpxa+TnCeeQqqlCjg3nXAUiPy6RqHiA2T2CKg3XpgTUegzHN/ungFsN1zv36zO9AuXuXs63Fj3ctLgGWfqWJhnMaMeeKDBwMOadcWeyUDT3RWxoZh84Ayhv/OBw44EOiTA7Tu71tcbflvwCevAh33UfOb2yNTVhi57hs9HvhQ2NQa+OcQ1d6eG4B+043vWqlp7poZdQTWtwXabVDCn2xpAbTMUsvXXwGkfwkszgSSR7txX94WTGjRApvcUZa4TXI5hz/TEFDbxLmAxGHABx4P/eupKnz+zVLg+jhgY2tgdyrw5wVAwtPeYn1uF+DqDVzaHojrAIw6ObT9pbqcpyIVGiat+6qZAxihIgh2RPQLQiMV/fYqurUVMuwz/7jHk9ppGLB6RrAfBv7aJ6df5jIXwiDYw3HHwZUX/fQyRoI08fJXK7etVaH3n/RSnx9cD5zUHLhohbfKPEnZDeQleYW7Exk71Dzo0/cBtmWqAnojvwJaLQOajwW2HAI8uQlY5ynq2LIYSJkPzPsH6H8M8PUtQRr7FTBkFPDPEN/FT3YG+ucA638Cxs1QYd+aDy5W/zdpD/Q8REVY/fGC9/s1hiivDEu7Ayu6Aqs6q4r4f4wE3J778O9u4JBMYHMHoF8TYN/2wDoXcMt2YMyPwMouaho8in7NyxcAKS2BftHApBTA5Zlz3Kre7ymQ17aeGHd7RQO/eIwpwzx/p9pFA+81A8oe9E4vmH8lMPET4O8hwId91AwJxgQFglABhvQf/X9i4BGcEdEvCI00vL+Cpz9Izmh1YTc2MMSShcuCif5gRgrT0y8p0EI4BHtgCrdi/ipjLDNnWKi7ZHsK4/FFRhsh1j/ZQthbbAFOfwdY2x742JNPbTKGRSLjgKxJ6nOv5cDB1wHuIuAXzzSN274Hor8Hhh0OzOgFJOQDE54H/ghTfI+aClzXCeh2iMoX51zn8z8Evv49yPGuA6Z72hcIf9PU0QP/y8HA9OHAcZ+oqvc5qcBzl3rXWdoTGBkDNHUBX/LvEb3d44CXkpQA1lyfCDx7KnBZLPCBTt73cE4r4KYGEtlydQKwuQw4K77ivcYU9cyzv+tcFXHCCAFBCAUR/II/RPQLQgPHX458XfX0U1CxYFIwaBhgIcK9jnP+3iekv5YMGkI9JZjoD9OjuG2l933OFnWtyYNZ7ZFfCvy4Sz0A0bs+bTewKA8oDOUeyHPnVl7rwR4R3GEdcOUsYK9DgU4xwN+vqDoOnB87y/xpGfDzQ86bHfmtEv2h5LAPP1eF9rfbW83C8uElavmMN5U3f9VfqDIU8//uDWS1ADa2Aba0Up91BfzPj1E56bxWxsYCb3D6v9OApS2BXUMAlr4YHgP0iwGGxgBHe2phzCtR/d7b4emThQyv9Nz7P+kL4Dv1nkaEq9LQYGgaBbwcZJYa0wgg9dgEQYgEIvoFoYHDYkX9jwDmfeO73C46qsPTzyJJwbbrJPpDgXnV9Ij5M2qY4f2JDcRDJNQRT38Vwog5TSaLiiWHMAuAEIG8fLcqSldQpuaJf34TMHUnEFUGlBhTj4XCSauAdp+p933uBhYu9n4X/Rswl68qtLfPAqC9McOKhiH+A4+rOC7vzQMWlgJHGPfZYIL/oxOAJT1VmsHQGcCEd4HFPYFeS4Dpw4D3TvP/24V9gas81fXJ+fHAgBjgtDhP2+KA/ker7/4rA5q4gARbm/uHeH/P6ATsSQZScoEVPStuRxAEQQgPEf2C0FipI6K/9xhg5TTv5+gwBFWgSv/c9/EPKY9bbAiRA4KgGX4G8N1EYMCRzt9XtTAkrwnm9m9aFLiav1A5VheoavafOM1t7gZOfxdIygNePQ8odXgKOiEbKPkHaHY40DQTGJ8I/PoIsN2I2Fh4Z+Tbvd+fQKKnGCDzctnW5OZAcSxQCODXIqB3NHBdLvCrMW5m3wjcMtF5my9doMS6EzOHqZcT7aOA91IApst3iAKauYDr8oDmLuDaROV9DmQca1XFOiqt44EHLgM6rQayjOk0BUEQhMohol8QhFoN78/sAhxypQrVr0y+dCBSMyO3LaHxkNEOOPVp3+m8TCIxRr9/EMjeKGH+VQ3Tfy0L2FkCTNnlrXwfiIQCoMVW9b7pDqB/d+DwDKBoO5D+B5C9CsjPVuHzTXepudc/DpIXH4jjHgP+fk1NF6fFfHpr9b64ECgoBL4oANzXAal71HJ3PPBSOvBZMZCdC2wJcm/Oagnc/ABwxltAn0WqiN76dioNYbGnEKEdht53prAvAvaKVh77GSXARQnA+Dgg2WFcPuaZtq4maO0CNrdWr771pECfIAhCXUZEvyAIFv488j0PApb8Wr37TjTyNSMp+gWhsvgT/JHy9FPwW+9tgq51bxUBIHjhHPKcOi+vVAUocU57Cv35ecAvtuJ6JgwJT4gCmsQAiYw6ArCPrpAH4AzPPHeeU4Fttt/vWKNelWHwBHXvZDXt0TeoNAOG4s9zA93KgPcLVWG758qAZTHAbS2A5p4CAPnNgQeN6f9CIT8JeMlT0d7OK8nA98XATjeQ6QLuS1LztnPsPZ1cNw1PrY3rL6MOtk8QBKG+IY/XgiAEFP0Mde46Avj2gZoRWCL6hbqOfeaLcPndUwzNiYMuBzYvBmZ9DOzSarSRQGGcW6oE+qpC4LIVwLYw0x9axAI9EpWILl4GtOqlZgThtInzvwbmBpsKNAgHXqkMAR2GAHntgBnZwIAlQKfBSuAf9ynQexGQth/QJw74rwRoGQX098w37489iUBzz/tlzQKvOzUN6BsDlHoMRjk0JDhs/5BYoE80cEwcMD6+4vd1Uew7pQdIPr8gCELVkcdrQRAUfkJI+WAYEyB3PiKYol9COYV6HAUQClme6dqc4MwVHfYCZn+OBs+yfOXF75kITM0BrlkV/jb65gP3dQTi04D8XUD7psCs94Effq3ceU1toWZYsN8PJ7zuvTe1H6z+H7gDyAXwwF5AGwAHuIHfDlSvjGigzQ6Vix8KBcY9dqsnLYlh9sfHKdHLcPejdwO3JirBT6JdXk/4oibAp0VAqgu4Ilfl4X+YinoLiwCaxiBBEAShaojoF4RGCr1fJmUBCu5Vu0fI2Ld4+oW6jjmXtlA5WE3/3GXAnkoUEO22DNiVrgrcHfY6EG7KPT3ypUUVlx91P5DeVkU9vX22d3mfcRWNkdllSvCTW1jtzsbE/PDalG+I/s2tVEi+3Tu/NMCMDy2iVD4+2T9Gif/6jPk3R+aoFwRBqDryeC0IjZQmbYGu+wI71gI71/v39Icr+vlwzFDayqYWhFO9XxDqo6e/MbKjBHhiA/DVzgAr8R7kAlKjgf5JwBDO7vEHsOxnIK0VsGc7sLUH0GxB5dvRbi/goKuB4nw1s0d8KrBlCZCUobz8+vyahoEB44EdZcpr/14hMLsE+KYYESXXmLd9WTfgwDCnEzTp0EDuoQ8nAffnA7fI7CuCIAhVRkS/IDRSKOT3vwBYPxf46fEgU+uFI3Iq4ZUpMwwO4ukX6joi+oOzogDYUQxcuML5+7RdQNcVwPx+wMg/AFdT4ACG1WcD4+4CvroZyN0G6EyInM3q/3AEf5N2QL8jgXaDgbJiIM4oWmdO49myp/p/cxmQ5gKSXECnB4HL1wDr2gNX0ZPv4M0Pl+eSgZExQNMooMAN7LVLVab/Jg24qol3vc4ZqtBeY+fcBPUSBEEQqo48XguCYFGoY1VrObxfBJVQ15ExGpipu4Ar7fn5buD4T4D4QuCz8cDh3wJtNgEHTfGuogvxv39BePs76gEgpYVKWcrZBPxXDKRtBvYaZty7HArZmVDw9/UUwxsdC/zEc9wZVeLTVOC43er90iZAM2PcJLqAuU2AJM9nV1vvd/2CtFUQBEEQwkVEvyAIQTFFf/POwLZKFNwKhFkoUO9r9FXAjPe9Hj5BqCvU5arnNQGjgnTl+D8L4tEzD3h9K7CyAFhdCESVAtFuYOAclXe/k6Hzu4GOa9VvLn4hcm054WkgMd37eVUL4PgcAKnAdlfFiKLhuwCm2/+YBrxQAOS7gRQX8I5Rce+nSoTuT08HukUDN+YCrxQCnaKAETFAsqfgntO0c4wq0JQMAP4eDmxsA+zVyMeXIAiCEHlE9AuCEJbIiakGL1TT9kC/w4Fko1BVu4Hq9eYFKvdWEOoKjdXTf+Nq4IedwLUfA1vzgLfOiII7KsMKydfEFAMT3gGa7YjMPo97QoXmz/sS6DkG2LMVSGsNLP9N5eGbgp/8ZQj2laVAl2g1Hz3vYa8VAis8UUXaqx8Ov6WpKfAyPXUJmCGg6/VR8JN7k1Tl/MPjVAG6BRlAdAjFH5vGAM+cot6PFNEvCIIgRBgR/YIgBKcGRM6QE6t/H4IQCRqa6Nei2Al6x1/ZAnRJAH7IBlL2AO51ak75S56j8AdK6NHOBY76CmiiY/TDpHlXYJuR/9+6HzD6Bu/nfT0h/806qf+HTlAh+a8VqGnt0j3nxJwib6jRlrZRwIZKzBRAPktVufhauDM3n/s+NBa4Ox+40agPQKF/qfE51Cr6TY31GHkgCIIgCJFERL8gCEFp7OHMgtBQRX/WUuC3p5WIbtYb2DQL6DQCiPMIVwr95zcDTXYCZ34JNN/u/W18EXD+q0BRLBAXYkj8yIuB6W8AxZ7CeKyk32aAd0q8HWuAFb8DA44Nvq1rcoHJxcD1ecCpccBOt3o5EYrgPzseGBID3J8HbPJs55IEYJStkv7JRrTT+6mICKboZ0qAIAiCIEQSEf2CIFRZ9HccAqz5p6ZaIwi1S0MS/ZPvU////hywpT3Qch2wZTGw/yVq+UdbVRG+I77xFfwmoQr+nqOBziOApKbAD/cDbQepKfRMmnZULyf+KQFau4D/ywfe8Uynp3nP9jlUbksETo0Hitzeqe74WacnHFaFqfPCwazWn9aAxpcgCIJQNxDRLwhCUMTTLwh1W/R/uE0V0ruxbejX6+5S388U/GT1NCX6t+YD/Z8DDgwzP591P45+EPjnXWDtTLUsoz0w7EzPfnoCxz6sxH+uG0j2tLfEDcQYbd9VBnxaBJwQD8wqAY73VMIPh3sTlff/sYKK301MAi5M8F+YjzUBRtaQ6Dc9/eZ7QRAEQYgEIvoFQXDEVeat1F0TOf2C0ChFvw5Hr6LQm7he/T+6CTAkRb0vLlACnEaA//YAm4uBcZ5imRuLgCMWAtf42d5ta4C2aytXkG/MzUByM+CAy4G3PEI/xlZwL7Wlqph/5U7gpWRgixu4zRPyv08MMDAaeMmToH+dZ3k47BsDPJmsCvlllak0gCWlwEspwJhYIClIf7Mwny7OVxO0MsaUU6V/QRAEQagKIvoFoY7Agln0dMXVEYEd5REjG+cBTT3FswQhGDQSUWzG6QnIWVwtF9i2HGjdH4iqI+O7KgSrxB4ybiC6TOn+sggJzFyP9353FvD5dUDHYcCoy4Bzl6vlHd3AptXAdS7A5Sf/nXy7Hei6GTg6wL6GnVWG7ZtzsWKyN7Gdofk/tgW+2K3EfNdLgR+/BV46DhjrWWdGMfBLMfCwx/t+Qa7vdqeXqFeo4fks5Le4FGgfBdyVD9yVCPQ2nm5aRAFTbUaHukbnKOCEOGB9GdCjBo0NgiAIQuNARL8g1BHOXAasLgB+7Ask1qGHPgo2Ce93prRETScYm+AsfsvKgOg6fJfNLwVWFgJ9EiN3jj+9BsjbARw9EUhvq5b9/BiwfRnQ9UQg8SBgL8MTvfx3oP3eQEoz1B8iZLiI8kTTVMflteRH9f+aGcqgqKfTm34bELPHv4dfM3waUOAn9J0wNL/7QcCe77w5Au5YYOBZwECPiO+cDZzZD3izu/pMo+baMmBcJcL07Xyaqjz3Z8QDiS5vPv4HESqsV9Pw+nvRc10IgiAIQqSpw4+jgtC4WOAJYZ2TBwyvQw+u7lJfkcPpvQTFN7cDuduBE54CcjYCKS2B+GSgrBT46hYl+A+/G4iq4TstDQ6hhKDfvAb4LQd4qBMwpoltG27gr91AkxhgXSEwJh0oyQc2RwMPbgCOa+b7m6xiYPtyJfjJR58C518OLMtXgp/M/gl4uT3wfFcgIxrI+RJY/C3w25fAeU8BsRFQv49uALYVAw90rD5jVV3L6aeY7r0Q2M37RmfPMqOw3SLPZPLHf6IEfyiMmAas9xhtnBh9o/r/4qEpGLgRWN4NWNAX6MnK9katgDeNOfRaeua3ryyvJCsDybg4IN4FHFBD+faCIAiCUN8R0S8IdQBTSNe1i5LealM8WTn+AkqLgF0b1PtF3wNzPlXv41NUOHXOJvV5+2ogs1tgbzv7N6ESQpIe3OX5ag51XQBtxpvAkp+AtFbAobcAiYYw/2EnsKYQODsTiI1Wgp+8sxU4IA34bDswKQu4rymw7mvgqa7AzqZqnXfnAmN+An45CHC7gCebAwsGAAPTgcIyZUAY/jewr2dfxQuB73cAj/wLnKUbUAxElwCPzQOWJQGX/QfEcYqyXcC7W4GZu4GxGUD7eGBgcuWuo7dZbR7AGS2APkaKQZ0M748Q7/0GjPtevXeNUv8XeIQ+uX4KcM374W+3nWd8O9ElHvi5BFgRE4MVx3uXL7QVBwwVhunfZ7SZHBcHbCoD/vaE+o83psoTBEEQBCF06pq+EIRGw6eFwLoy4MpEwExfja5jgoKefh+PaSPw9C/4BsjbCQwcD5SWKu91M1tdgwKPYCZa8JPCPcCPD3o/F3lCnYsLgVibaCl2A8csBuJcwBe9/Z97Rg7oecy1Z3d7aRR+3AY8tgmYkAlc11aJXgp+krMZ+PcDYMgFwMZZwOLJwOxcFVL+/iYgb38gbgBQFA/MyQX2mevd/mcfAj1nAef8Dnx0AjDyD6D1ZvXdwb8aDfsQ+Gi48gpfEg8kGF7dlFzglV+AkfO9y1L3AOe9qr575zRgqwvQzuQnNqr/Vy8CDvgNiDsXmNkMyIgBjvIYHkyK8oAfHgCiY5XXmSkWhcbYnLAUeL0bMMgImWb/MB2Dv3FKYykr9jWShOLpH3oKMLMSgroC7opjwx9/5ABPbQTu7AD0pWHjNe93ZZ5zsGAXkOZZdmoE2peVCRxxIjDzOWBDG7XskD2RC3kYFgP8lAY8kA8cGwd0iQJGxAK/FgMnRCAdQBAEQRAaMyL6BaGW0MWrDokFuhhiz5yyqi7gtnv665HoZ5RC4W4gMYwiXjw+imWy+Afv8qMeAJq0837e5fHkB4N566unA78/C4w4D+h2gPe7e9YCWz1znK8vVKK1W4KvJ3nZr8DMt4EDrwLa9Ac+3Q48uCIKg2a3wMI+VNfAp2uUSPo4Cxhn7HvuKuCyOcA1T6vPRvOR9Dtw7Ergw5OB/nOBAXOBv0cAK7sCiVne9Ub87RX8TlDwE1Pwa475Elhn7tRjDCD7/Qm09Qh9C8+4OuFjVdzun4nA49cArTcC3QcCXdt4w/95jv54Edi5Vn3++k3g3VHActu0bE9tAh50A8X5QFkvYM6zwJ7FwLGPAgmpvmP848uUmD/xuYrGmUCin7UImnYAdnjaUll4zEVG6P2GQq9ot3P9aqCgDLhkBfBpL9/vtu0Abs8HOqxExHjgZiCrJTCRc9lfBWxuVbntJEKdw6ExqujepELfivV9YoCPbKlNB8YATycDvetQnRNBEARBqG+I6BeEWsAUznvcQFEd9vRTONfXnH4Kbc4TPvYO5xB7HhtFdcteKjd/7mfAICNU2SRrqRL9KwqAJ38Fhr4XWht2bwFmf6ze//0q8E0nYP1vQJtBwM97gOFzYIn3K1ep0Pvr2wKnZQJ52cC6f1S4PvnzJSDmLuDedcBVz6rZFfb/A5jDEPu5ALV0+gjffRcWAO09c6/7C9/u7wnbJ8d+AXx/GNBhXWgh3qHQ3jOVnJ1Oa3w/X/N4xXVO+kDt/7sfgf8uBh6KAma8DuyyHdOm2cDyYWqaycMmq9z2P0eqiIjJ96l1XroAuHC2ev/RpcDpb3iNWUzFYDQFc9ELsoHYluHl9B9xG/DWhagyxUYV+wK3f9FPwU9ySoET/wDOMb57cR2QlwRc5GCEqSwU/IRpHWtCnMnjs1RgvOGhPyYOeCbZd6o8GjzP8Bg6mvgJGuA5Ok3C+gVBEAShSojoF4RawBT5CS6gqBby5CneQyl0Zg/vr085/RT8ZOF3QEmh8u6mtVbTyfUcrQT/jDfUOjEJQEkB8NNDztv6fRNwyXyg96/AMM92Q0ELfs28H4EDpgL4CbjYs2zfv4FJTHxvBrz/N1D2M+C2FT0r2AXk3QIc09o7nSKh4IexHRPOsX6ibf92tODXjJ2MOoM2ODTfDvR+HfjRjwGCaQOsFdBrMdBnkVq2rj0wryMwxrPOhS/7/uaHBcD+vYGkaGCZsd2CUiC5rOLUgvp6WZIPNDW9zpz6LlwvNM+fS4loc9o8fwa1G/OA5zm9n8P1etYk38+xxUD6rtCacczDwEfLgbgX/a+zsQMqRWtb/9kFP2kjc9MLgiAIQo0gol8QapjvioBUl030Gw/7enqtqrKpCHhxs/IaW3nlHqGhmZULDEkJP7y/0jn9tv0T5s3/8gjQ4xCgx8GBf8tc9N+eBg64PPBuOEUZBXz2uori36TrgcDGhd7PFPyB2LAE6JkdnuB3ouUW5+UHTgE+PV6JdH9dnJQPdI1g2Hak2NEJaLo68Do/jAEO9UwjVxmCRRwwXcAU0Cd8AmwLMA3gU2uA56KBT7sCi57xLv/6fqBpCnDU/SrPf9Z7KhKA7/veApziCeO/Uv8gXLHqGctlTp5tT/vn2eat/7MYmFoCHGSrRUAjgGkAIkd9BUSHWEzvhzjAHSQtv7gSTwkU811t27ULftLMWMZp9wRBEARBqB5E9AtCDbKwBDjdNmUWq5f7iH7juw+3qdzey9uEn+vPauos0DZjMXDqzypCv8zwSOpc8rCr97tDF/XWMs/6TkLnu7tVkbzpkwKLfoo5l0e8cyqymDjndubvAKYaAi4Qo2YAR2wDQnVkdl6tXnbWdAA6hpHPHe8n7Lr5NkSM7U2Vl99kYW+vF7yyxCYBxXnAsDOBjPZA1jLghVHAeyXAoZOBw79T6716LnCeUVxu+DPAYyvDE/2bWwKt/BhInBgyq+IyRgj4g97wrh8Dn9m89DG7gRy+tgD/vg9smOP97h8WMezqu76rErn7+n/7paSjaDab16YbOHsSsGB/YOdY4Og4IDEPyE8CSh2uRV0zIRT+VwbcVwwEip4vqMRTwtepoc1w0D4aeD0FaCqCXxAEQRCqFRH9nDIrPx+nnHIKRowYgU2bNsHlcuGJJ56o7WYJDZDlDqHxLpt3X7/nVG4TPfnQI9KA4bYCVyaby4DL9gDnJgCHewQxw5BJt8Xe/dirg1Mob1vuR7Ab4f3Bcvp3rfUV9cyttryuZUC0sb5d6Og53YNhejMXTQY2/KfC9AceByQ3A/77SFWtH3oGQiahAOiwCpWmIB546UK1HXvoeCCcDAdarF3zGCJCx9bAHlvfnjoSKOygqviTmecCQw1hToafA8z+FCgsBX4ZAnRkgUBPH41/DEhprsaMDn1v0RPY6JnF4IdDgYn7A+M5ZR7D1mMAt2daisQQc7J5TvVUh1MOBE7xFFSsDvQUd7ZZ4sopjAW28towKDKn2QgVPXZDSaWpYAVQ10wrFlb8BJjkAnI/Vmkhf40AptlqOISNC/h2F3CSsWhFF6DZNqBJTmie/gVFm7GuaQvcXxCF3z390zGMdAcaMQRBEARBqF5E9FsewjIceeSRuOCCC6zPffv2xZw5czBw4MDabprQwDCn4UrbpQqOkdWGMUBH5pre/x3FyhgwNxfomgik2h6qr88Ffi0Bft2jvLwwdLq/UN/iMmDVn8C8z21RAO4QwvttQmb3JvVWC/1yke5gIAimfRieP+9LYN8LgKYdK34/+yP1PwUZi+sd+zAw/yu17K+XEDKtAlSkD4WCNKAkFthju4uWHgekZgN5vzhPe5aUF5431h9JzUsQHRON3Zsr9mhGAtBsmOpLzZY0YN9xQGkR0G0UcFUG8OFDwHWTgLYrgMPvBtLbAN0OBFYXAo8uBjoYEQwU/MSe616ug11ABqu6eyIWtOAn8Q4h5DTWJJ8KnNMO6LsAeG0/YNVrXtF/Rydg/slAnCH8XQxHNwtiVCNvZAGt83yXRdFg0tNY4AaylgA7Vvk3nNEYxsWlUcEHf4nnPnDfOuAIz29NzPoMrN9g/74ycDza2ZPiFf2lITwlDI5Rhfu+LAZ6Ogj+yE3sJwiCIAhCZag3f4uLiopw0003ISYmBqtXV3SVffbZZxg6dCj2339/HHDAAViwYEHI205OTi4X/Dk5OSgsLESbNp6JiAUhgrBSP+k3D7jnTuC0d4FVpcCE3RW9fWbo7p4yFep/znLgJgdP8Qrbw//OdcBB3wM9lgB7/+fcFk4Pt9Ezh7qpRSgkTDHBquam6Lc8vXodt0MYfohpA3bmfKZCqf94Xk3F9s3twPQ3AtcQYGX8qnp6QyHbYcq/YecAcZalw7uMRoqzjgH+PA74dILv+otPAt4+Q0UHLLJNs1YZouPd2PdC585Jbg6MuBgYcb532cxEILmp8uY394SoF8cBv18CnPqyEvyE5zrNQbh9XAi8WABstI21Pw1xb4Z0R3nyz6PjPP0E4P2TgWYjgBOeAY57HIgaBBQmAP8OpmXAtyp+j1TgvCOA1v3U54Q0YMLLQNdRqBFmLnIY3yVAkmGw4TWw6Dtg3hfesH07gXQ+C/mZ8DrXVfm572AGsuHTETYvXgj8eqCazYDMGmxrLyOAjPNQ4iD6tbC/IcF70Bw3rNDfyxg7b6cALV0Vp+ETBEEQBKFmqReefor8U089FT169EBpaUW35YwZM3DWWWdh1qxZ6N69O958800cdthhWLRoEVJT1dPGkCFDUFJSMTbz22+/LRf47777Ll566SXccsstyMzMrIEjExornFaMDP0HmHk7cGI74I/91TItqsyRvrsU+Clbvf9rN7A+FyjJBTq1UMty9LO3WxUeY7V6OiR7ekR9BdxA9nqgu/EwzpB8q5q4fVWbmLGMAIg8nC7PztKfg9+lVnrmia9O/tsL+PkQ4I9twNTngBHnAl36AX+7gRkFwJqhQNFMYJ9zlPh5owRo2d53GweOATir21lLgWYnA7g7/HZQNOuQd6ZdNOnsvN604cAJu4APPN55UupHeDlpVSfR/z+P2L0lD5iTDswtBXJtorhTNtAyTgnHA68FZr+v8v91CP3GtkCTg4DEJPXZrJ14XR5waJmqcWEaDfj7Bd8C/Y5QfZvRznefBV2BhBWIOEd7okfsXPSiqllAKlwHAdJkwiVQPYLKwukdF/VRL83OpsBNE4EHb/YuM4v7FccCY2OB7z3GvE9Sgf1jgCWlQA9XeWCHI+Pi1EsQBEEQhNqlXoj+PXv24K233sL69estQW/nwQcfxBFHHGEJfnL66afjhhtuwKRJk3D55arU9z///BN0P6eddpqV2z927Fi0bt0a48aNq4ajERo1pWpe9DRP6Cxps0m9tOi/eI8qcJW2A+i4Ghj5B1B8CrDeI5TIB3cALbYC6Q+pkGotqrquUII/GBRlqY8DnnR/C4bkOwlAiv4VhgWirJKe/MrCtIZAKcJ/PheZ/exsooq72auhky0tgT2pQH474NSXgGyXahd18BH5gOtUYO1ZQFKaN0JjhyfNQnNKLnB8HPBzP+BxQ+3+M1h5jP1FZJhsb6Y8tMd+5caAMXuw1Z1upQxwLDxzqQrL5gx8/TLU+re3AoZ3V57bF2OBzXuAWxKBb41z+FeJijZZU6bafkgcEBsF3NQN+DfBuR3vFwETnZLhXaqvSNtmQNt71PulJaoGAo8zMw5YWQrckwdkGOLyp2KgZRkw1PNZp5uktVJGFk1LW5TEinigL8Jj5hBlcKssLFKY0AQo8BjizOvKXYWZLsyc/tjK1A+oJAWJRhtcNk9/NLB3jFf07xujZg3oE6OifgRBEARBqPvUC9Hfr5+K76Tod+Lnn3/GHXfcUf45KioKgwcPxk8//VQu+gOxcOFCy7AwbNgw67edO3fGihXV4DoShB+B8z71/3VCPnDcp8B8z7Rwx3uWl70AZF+pLlh65CnyyPI5wBeFQBS9afFAqpEmEAgnYUvMKc9Mz/7wHcDD5QtQo0RoBsOglEY798vfw5Wnn4zYBQyIVl7u6xKA8fGGZ9TjSdd6nqHzdj4pAobFKMGsS4VmtQB+OyA00U+v67IeQOoAYEJ+ITaVAU9dAWRuBVZ1Ueu0prHBU8Rvgwt47lJfsc6XnSHGvO4rafyIAspigeXdgX7GtIaarYHGgEf0jsgG3k4FukYD2cx990SlcPcn5wCbgpzY/1xAYjHwSiFwX5J33vemnYDJpwGHvas+67oY4bCia9VEP7ELfsLxE+JseY7XW3I+UFQKZLJwXzVgTyfwhyn6eV2YdRhtswYKgiAIglAPqBeiPxDbt2+38vBbtvS4lzy0atUKM2eGNqF2fHw8HnjgAcu4sGvXLuTl5eHss8/2uz5z/vnScP+6ICBfQsOF59ftdlf6PLtm2JLAbYyaCvRzKEcRVeQVCDGGB/A7txvf7HQhhTqvQ+jzc4fDhjluPPaDC2UuJW55/P6OoT7PvOWUu0w+OMX3MwU/eaQAODyG40AppPzSMiREAXnW0FDLfjkIOPhXYIZ2XwO40VY4rShO5bVvaQG0tIm92QOB1ptUuH7GTmB1J3PGBzdG74myjA2MQtDMKPK2aUslLCZdsoGXkspQ4AamjopCci6w0mNQ0KyzwhkCn+2lZcCwXcC8tDIUsEmehP3XCtzY5Ed9movXuctwzW71m7wyN95J8R7MHmuON7Xyuvbh57YXhjibQFWxF9qjwS4YDz/kxhmLqudKCuW47Tn9fN/Karha6HbzHhiZ+6EgVBUZg0JdQMahUJuEOu7qveinQNfC3YSf9XfB6Nq1K95+++2Q9zlx4kTcfXfFhNytW7eioMDMUhUa4oVFwxBv7owKCfv3RZmI9hOs3mKLs+C3Y1ZUX1/IC11tL6YYiAtW2TyIVnP6avcWl9eL6QaKdkcwcbmaXf3r2qmQ995mHkMAL3q4bNy5E4htZr1fv20bvoyKw3PRKeUC9+sjgfn9gDUOsxB8fgzQbz7w177q8/MXA8f8Xoq9flHnszAOmHSO8znbUVyCy93Jjm0aR0NAFbkwLwo3lOSgLCYN3xxZ8fvJJaGf//45UbimZDcQoywTk4r8/9YU/bcXRMGyZnGaxuJSZGV5s8dL0bz8zxdTHl74H9BuPXDkN6G1id7r6oKGN20gCzXCxqRDNQl+J9Gf4HajwGdqDoUp+hmx0il7O66MSkAb8DwUROx+KAhVRcagUBeQcSjUJrt3724coj8pSSU6m553/Vl/F2luvvlmXHPNNT6e/vbt21vF/9LS0qpln0LdubG7XC7rXFfmxh5V6v+BfrxDITsnjvnS+77AKHfOugDNqqH4lwkrlLtNRVADhCKU/PHRSUB6dmiivzLe313pGYDHtpjSrDmu83imYeSlr/RUyrcz5SD10mRnAL8fG4VBGWVYNjcKb57p+cJhyCyNisXShOoNtH4oJnL3ssc8gr+y4edlUdFo0aKF19iywdvPHI5LewJLegLdlgM5aUCPpUATI2Wh4vZQregw/7oW+fLv3r6fX0tx47TcIKI/FmjdvBluK1+WFrH7oSBUFRmDQl1AxqFQmyQk+CnA1NBEf7NmzZCeno4tW3zn7tq8eTO6dLHFpEYIRhHYIwsIL3S52Bs+vLFX9ly7i/0LgeTQAlN8yKFL0aA6wvtrm6qI/nAEXmW8v5fmeTdeZM43V0nccKHsMBee8xR1rGtMiAPeCRZNUgX8if4Nbhe2wYUWURXPlT6/9Ky/cLF6H1cIKy3hpA+dDT75of19rB/FKEIkNwlYbZvtIdnPPcw8D+zfGOt+F/n7oSBEAhmDQl1AxqFQW4Q65hrEyDz44IOt6fo0DK/5999/MXr06FptlyDYKYpwRW56NKNLaln01zFxo0k8rKKAYdV2Vrl3gkKSOfiVpSBCXVmXMwI7+DGM9I+u/kJzvY3CeU6i36QoXk1FVxvh/WZUTF1iU+uKyxIc+rtfNJAZ49u/VgkFQRAEQRDqLQ1C9N9000345ptvsHz5cuvzO++8g+joaJx11lm13TRBqFT17FDpPx84+JeG7emvDF1OAFIPV+99ph+LCSwEmYP/+FVqWjyywzP1XSiw8F1VWV0G3FWJiI/K8rERdR+KDu7o5y/GoJiauT7a7QBKHArNRXo/jQWnc57sQnlEhe7fWOkvQRAEQajX1Ivw/qKiIhx66KHIzlaunlNOOcXKof/oo4+sz5xqb9KkSdbyxMREK8xh8uTJSE2txFxOglCNVCWX2J/nsOcS4MdDPeuI6LcoLQWiPELFLhDXdgCy0yvmfPM75uCvYYV8N/DItcA21osLEc805lUmF5GF86r/ZYswGRsLPJEMZBp90y0aWOIwfkbGAH94ft/GYfymcWq9SrRrSDRwQrwyGDyXD3xZHPz6yGdeeklwT3+gKSiDGX8aC52jgJYh3I9qIipCEARBEITqpV48+sTFxWHKlCkB1xk/frz1EoS6TGklRb8tdd/3O2ObIYn+CIfj+xNWtUlJvteLaS9KxtDvR64D7rvd9zc+4tEFrG8f3j7Hh1Y8tcbIdAEvpADzSiqK/rc5wYBtTPkrezouziv6mzmMwwVNgHsqEZ0wOd37/vVUoO2O0Dzwm92hi35/cEaHxgwNNdPSgZ3+rl1jeQ3X7RQEQRAEoRqQP+eCUIOUVFb0B/idKYBq2tNPwV/VQnvVQXG+s6d/Y5v679F08rY78XUacGBsxdDsGxIqCn4d1m3n8gQg3zi/PWx99FkqkMTp6RAZQhH9hWGIfn8GqV1NUK8IVHhwzoDwt8fNxbicHwCS1QyU9e66EARBEATBPyL6BaEGqazXLKYUuPBFoM2Gqov+uuiZjzTNRzl7+nOdp7avk+KmuR8BTA+tZr8YN/bzE6/FcH1iPyx3AO+vpksUcF8ScEcicHY8cHAs8HqK15CiGeWZNTDcyQNvSqy86OfkAVXN6Wckx723VVy8sxqNAVFVKOwXaGz6G9M/HQIs9zNdJAU/MTf77CXAv3sBQ073XZezIgiCIAiCUL+RP+eCUINUJVQ2JRc45YPA26xpT39d9PLfczuQ3BnY6dA/RXH1R/R3igI+SQU+MkLRYz0e+RSPdB8d48afQWaEsNsE7Kesg6d/LksAbk4E7k0EZqQDFycokZ8RBXyUChwdoO+cqsAP4mwIaaG1KRTR38Lz3c/Fvucq0G8CGbi2h1GvIRJUpRZeoGP0992qzsA7EwL3v3k7WtYDePMsINF2ziS8XxAEQRDqP/LnXBBqkOp4gLYEkBtIzwZiIjwlYH1kZwaQ4wYu3uNZ4PLN6fdHXRM39GgzPL9XTMVigb+nuXFfyS78Lz74duzh/XYdPDUd+DMN2CcWuC4RuCTROfw/EAMdVHzvaOfllRH9XaOAkZ5z90WRr+gPJOyrGtUyYyjqBIFEf6Bx62/awnLR72+7Rr8VVKZKoyAIgiAIdYo69pgrCA2b6pgqjA/9nLbvvNeAXkuCr9/Qw/sZjryszLevF/YCNrRRlfvri6e/MMBNul0UML4sP6Sp1IKF96e6fA0LleHIWOBBWyXAQE1zandpgOvj+zTfGQJMoVtdon9JD+DzY1HnCZSy4g8nT78/FvcOf/uCIAiCINQtRPQLQj2HYnXQHNQrqsvu8NjV6v9i2w5ePwd4+Ho1JV9VPf3nxgOta2De8lLPMYSzq0s8Bd/GGRENrhroe0YGXJCgDAih4GRjKA4g+rl+vCuwgSbdFb7oL7jS/3f5iXUv+sOJqaPC/43O6Q/l8CSnXxAEQRDqP/LnXBDqOa22oEFTEh36dIhrO3p+YxeQfB9EkIbq6T8jHvguDbg4hND6QBwRCzwfwEtbFuJNWgt9cnuiqgPwUoAp6aoz0MPswkDd7e+Y/In+aBdgdreTGP8yNfzieaV9genD/H9fH0R/YTywokt4v9E2oegQxkgN2LcEQRAEQahm6sEjjSA0IOpAaH19e4gPVYxHl1XMfa+O/bD/2kcD9yUDqzJQad5MBU4KYDgoDfEmPdhod5xL1QHgNHrVPQQvcGg7i/+Fgt9U8gCefp/8cxfw3yAldje3Uov6xQAP21MMqniw9UH0++uzde39/0YPmag6fJ8SBEEQBCFyVDGTUxAEoe5xWx4QF2YthVAFnss2zR2ntJukE/AjSKiefr/F2GpBz12dAEzMr/zv/Z0np/qLb5xdcdkJ8cCTBcD6sqpPk1dfRf9RzwJDNwM5xtSOVQnvFwRBEASh/iN/8wWhBqlvXvbqFCruOlY0sbKF/JpV4qQ+YPNIV8XTH+5NvFrD+42+CHcGgEDnLFTDBo0ws9Mj5+mvjsKbkcbexrgUYEezwL+JDuMc1YMuEARBEAQhCCL6BaERoUVQXYjeDVRUry6Lfvtmm1XiLjo2NnKF/PaL8U5rV9mw/LpCZUX2k0ZtBFPIVln0V/NfyIgIalHlgiAIgiAEQUS/IAj1ju8PC09AhiIml/YIbd/2TVVVQ5tpCCZlIXpjM6JUbYE/A4Rza6amAW2raGw51tPg84Pk7+tmn+bvAEMIp38rBfjKoUCfyRspwOl+TkJVw/srU1CyNljjKWAZKaJ6qf/LxKAgCIIgCA0CyekXBKHOQ4etqT8W9gXGTg7ymxA9vj+MAWYPAja2Da0tkdZB/5cEXJ1X+Zx+HdYeCrERaPwrycBTyUBykG3prx9NBibEAzfnAXN1zoIf7MaZw0MwGARqRlU9/SQ7HWiyC3jgFmDfv4DRP6PO8f1YNcXg0v7A8RHYXvRo4O1YYFn3CGxMEARBEIRaR0S/IAhBRXZtQw8wvbauaggVz00OXfBXB64q5vTXNIw8SA5lPWNGgeGxof2xiXQOfSQ8/ffeDkSXAkXxwOTD6qboZ9t+PBQIcfKEoLhigOnD1fswAjUEQRAEQaijiOgXhEYIxVUkvKA1hiv8Nofq6a9EU2qEuir6q5NIi/5InPfSGPWy3tfhEH9BEARBEAR/NKbnSUEQGhMulYdN3VccG9nt1gQvedzpdSnior6J/vXtIru9+lDNXxAEQRAEwY6IfkFoRNQr734E2NjGI/xqWKxNqGJM9MYM4NC4+n2TdtUBUf3xCZHdXnVX86+LiJ1DEARBEOo/jfARRhCEcPjsWODdU2u7FZUUhEwLiIqsiAnl9/ckVW0f8cZO5CatqIy9Ki8Z6DSiGhrTgBgdySgYQRAEQRDqJPI8KQhCQHLSgM2ta7sVSm2/eCHw+JVV20x0PfN8iqdV4a6E6o8NYcrDcPn68IrL/qrHhoX3U4B9pLqPIAiCIDRoRPQLQiOkvuYmL+oD7GhWtW3Ut1pskRat9YUzbSkSQWb7q7E/cFMOArY2911Wn7NmOL5E8wuCIAhCw0ZEvyAIjYqqCpxGqsFrvJ8uts0/V1aXz5UMCkEQBEEQ6jAi+gVBaFREVVGgib6rHeqy6K/Pnv5g/STjXRAEQRDqPxLVJwhCpUROfRUDDO8vqe1GNGDOjgfeLAQus3nqa0P0263a75wGrOqMyFNLF8P0YbWzX0EQBEEQ6hfi6ReEekZOam23oP7WBKiPhfzqG48mAxsygE7Rdc+bPnMYsC0TDcbTv7UajsWOjHdBEARBqP+I6BeEGqQ0QkKoVK7cSiM5/dVPXDV0UqU8/TV1smRQCIIgCIJQhxHpIAg1SH32kDcUqnrTk1NYO5RVwp3e2HP6W8pgFQRBEARBRL8gCA3FcFIcogs/WoRQvaQyU/bVmOivpTHVVMayIAiCIAghIIX8BKER0RA1QkE88OtBwL97h7a+hPfXTyJRyK/akEEhCIIgCEIdRkS/IAj1msJ4YPLY0NeX8P7GNWWfy3bCEgHko3GE90cCGe+CIAiCUP+R8H5BEOo1jaFOQkwjDc+vqrBuBENDEARBEAQhKCL6BUEQwkCEZOWYU1rzor+m/sA1ZMNTAz40QRAEQWg0iOgXBKFOYxdURXGBvw+XsxPCW19EUP2hxs6VDApBEARBEOowIvoFQahXFMUDWZmR214rEWwNluo4taXRjSunXxAEQRCE+o+IfkEQ6h0FrMYWIRw0XEDERlB/qI5z5Y5yEP4yKARBEARBqMOI6BcEoVETHaZgE31Xf+C5SkiL/Hbtnn3x9AuCIAiCUJdpCEWhBUFowFT3TSpcT79Qf4hyAf2PBnI2A/cNqO3WCIIgCIIg1A7i6RcEoVETtugXV3+9gacqLhk46Gpg9l613RpBEARBEITaQUS/IAiN+iYVroYXzV9/kD9wgiAIgiAI8kwkCEIdpyZE9mNJNbATocYRA03VkT4UBEEQhPqPiH5BEBo9ZyUAJ8aFtq6IoPqDnCtBEARBEAQp5CcIghAWIiSFxoSrhgd8aWkpiouLa3anQr2lrKzMGi8FBQWIihI/llA7yDgUqpPY2FhER1e97LSIfkEQ6iwJhwD5f6BOIaJfaGi46sBDgtvtxubNm5GdnV1DexQaAhw3FFy7d++Gq6YtVILgQcahUN00adIErVq1qtL4EtEvCEKd5PGrgPv71T3RLwiNiceSa2Y/WvC3aNECSUlJ8uAshCy2SkpKEBMTI2NGqDVkHArVObby8vKQlZVlfW7dunWltyWiXxCEOklp1SOZqgX5cy40JnpE10xIvxb8zZo1q/4dCg0GEVtCXUDGoVCdJCYmWv9T+PPvZGVD/SXxRBAEIQzkz7kgRBadw08PvyAIgiAIvui/j1WpeSOiXxAEoY7jru0GCEINIB4yQRAEQaiev48i+gVBEMJAZIkgCIIgVD8bNmxAY6MxHnNDYUMdP3ci+gVBEOq46BdDgyDUTT788EMceuihOOSQQzB06FCceOKJWL16dfn3Dz/8MAYNGmR5af73v//53c6+++6LhIQEHHjggVi4cGGFfOH27dv7/X1ubi6uv/56DBs2zPr98OHDMWbMGDz99NM+67344ovYZ599rHVGjRplrcff8fdO/PHHH9a6umr0cccdZy1fv349rrnmGuy///444IADsPfee1vbduLtt99GRkYGJk2aVOG7qVOnWtvkPrit/v3748knn/RZh9XQr7zySowYMcI6vsMOOwwrVqwo/37Hjh245557rN9zO3vttRceeOABK7/ahCGxd911l7Xefvvth27duuGhhx4q/56/tb/69euHDh06+Gxn5cqVOP7443HQQQehb9++Vh/+888/qIpIOPLII602sR9feOEFn+9/+uknHH300Tj44IOtfY0dOxZz584t/57H+corr1jt4TqDBw/G+eefj23btvlsp6ioyOrHIUOGWOtcccUV1jLN4sWLccEFF1jjgn3EcfLZZ5+F1RbNv//+i3Hjxllt6tmzp/W/eU2EyvPPP4//+7//q1Dw86ijjkKnTp0qrM+xwHM8cuTIgGMhWJ/rsc9j5Pjm/7///nvQ9v7555/WOHX6zZdffmkt432A94OXXnrJWv7WW2+hY8eOaNOmDU455RRrGY/ZqU2h8uOPP+Lwww8vv654vs844wx8+umn1r2kOnn88cdx7LHHhvUbTnPI+9vMmTP9rsP7K+9BLGJnH9s333wzevXqZY2JCRMmIBI88cQTmD17doXxwPMXaCxfffXV+Pzzz1FXkUJ+giAIgiAIleD000/HV199ZYlRTtl19tlnW2Jozpw5iI+Pt0Q1jQE0DLz55pu47777kJmZ6bONv//+2xKOfPCfMmWKozjetGkTPv74YzzzzDPWnM0ml112mfU9RQb3yQd7ih0K6Msvv9xa54033sDdd99tCTI+PJNff/3VahfFYHJyxWkaKJ7YHooHPlBr4c7/eXwUFzRUzJ8/3xKT3DePX4vsU0891TpWf9Mwvvvuu5YAuuOOO6zP3CZFWNeuXS1RRri9nJwcqw943A8++KDV1wsWLLD29+2331r9wj6kcYKCjtugoKUA1FxyySVWkTVuhw/ur732mmWwueGGG8rXsff9dddd5xNSu3XrVkt8sC8pjikm2X/Lly+3jt8JtuGqq66y2maH44XHecIJJ+DWW2+1tk/DBwt1aQPLRRddhBtvvNES5OS2227D6NGjreNn31IE8xxPnz4dAwYMQGFhoSX4uE3zeHgsS5cutdYjHKNc9tRTT1mfH3nkEavPOCZYJIznlutQ6FO0h9IWbTyg6Js8eTJ69+5tVR2n6GQ7nYS6PyiyXn311fL2kh9++MESeC1btnT8DccCzynHQnp6uuNYCKXP16xZgyOOOAJff/21JZp/++036zc0cFCgO8HfHHPMMda9gGPD/hsaS3h+OnfubAlKXlOkS5cu1vVIQd62bVtr2WOPPWYJTK5PY2A4cNs0AlF40rBFdu7ciTPPPNMyVuXn51vXbHXBY+ExhQOvaxqH0tLS/K7z888/W/cCXnsXX3wxPvroo/LvJk6caP2eYty85qvCE088YV2zvD/pe+H7779vnb9A8L5CYxPPXbj9UBOIp18QBCEMxOsuCIKGD/oUoSQqKsryoC5ZssQS1yYUYhSdFO1O3rGTTjrJ7z4ojim26Mn8/vvvK3z/xRdfWKKCIphQqNITbwoUrsMHVy34CcUcvaZsVzjQOEFjhhYP9IhT/L333nvl61D0X3jhhZa31h/sK3rGNAMHDrQetCmiCYUixRAFuzZ00EBBbzvFHeFsDzxWijxC4cRoC7Mt8+bNsyIO6EHVIp4eQUYIaF5//XWftlHQv/POOzjnnHPKl/H39ORS1BH2Gz22+rMTNLT4M3pQVFIw85gIhTPF2f3331++Do0J5513XvlnGhAoVCnGSVxcHM4991xLZBCOAYoiik4agsj27dstzzH7moKeL77nMo4pQkF+7bXXllcFZ6QIRTuFTqht0YYAGsL4W118jOeKnthwoEGC2zerlLO/achgxIcTHAv8XaCxEEqf01jWp08fS/ATeu4pKrWBxAn+hscczm9++eUX6zqioUALfn2cPHbTIBUKNDDw+Bk9oAU/YaQNxTLHSnVDQx+NFuHAc8wxxP4KBqOdaOTj9VwXSUlJwVlnnVVuyKxriOgXBEGo46JfCvkJQt3E9DgRLYTpcTWhmKVgeu655yxvm4YCllMWmg/pJhTP9ODTg0VhQAOAHT7M86GZ2zGneKJ3zFxnxowZltfPhKLaNASEAkUmvcD24zaPmWKPXvBAUFilpqaWe2BffvllS7RSqJG1a9da/5ueXR4XRR099oRh5Dq6wF9bGKZOg4LpSeR+TPFo9+DRU02jCdto9pVd4PO80QhSGXh+KHQoFDSMCqHBSJ8nim4ak8xjI/r46KF+9tlnKxy/uQ77iuPIjEbgfriMxgEt1tlHgfoxWFvoUaeotvcRPelOkQ7+YPoIxyqjKkyYVqDHixMcCxybgY4hlD7nOvbIDa5jGjecBDwjGkL9zXfffYc777zT6i+eQzs81r/++gsbN25EqDDFpnv37pan2U7Tpk0tw5YZJcQ+5rliNAFf9957b/k9hOOBhiBGJDANhgZCbpvRFIzIoZGS/UjDnT1yx4yOYbQDzz0NGDRGMaWCBirTKMr7BNcJxUvPFAga7BjdwnESCKYL8Ph4HmiYvPPOO637DKHxVacE0CBCoyz7iMYWtocGR0YV8fj5OxNGn4wfP966N9DIYb/X89zRkGOmz9QVRPQLgiAIQiOmLkavMPU0t5ZeVUl7ZWgxRSAfbu3wgZLCgg+Zppefy/1B8Unxw4f1k08+2coNtufg06NOYcuHaW5Pi2UTGhz4kMwH9ZtuuqlCJEJVYDoBH4QDRSsEgikPzNVlSC1DuLXXU4eDm8fDY9+1a1fAB36eA7MtTD+gYYOeenpgeW7oibM/rJswhcH08nO/q1atskQRRQe3wQgPirfKQoOPPVRdG2C4L3/HRsOHTn/wtw6Fju4/7ofeY3rCNfRw08Pqbz9MqaBHPNA5tbeFERrsU0YPUBRRSDICxQzRD4Vp06ZZYp1joqrYx0Iofe5vHX99pX9jF+/+fsNrlWPxm2++sYSmE7yH0DDFvggVingdYeHEaaedVh45wQgNilumS9C4wHQOtkvXueA1SWParFmzrFQDpn1QuNOowmuU0Rv8HVMwtOGI2+c1bEKjBg0BNI5S1LPuAaOCzAgfbk+H0YcCjVw0/LEt/moU8PgYrcKUFIp/7vfDDz8srxHBlCjeBznvPY2wOk2Ifc728Nzxe0aWMFrHhMfLvuI9lGkodkMs05N4/fC+U9cQ0S8IghAGUshPEKqfPAAddtbOi/uuDBQ8LNznlHdPKMKYV0thTo8TDQB8MNQhwU7wgZIP04ReJeZI2wtFMUydXjwKO4a6cz984DUfOvmZD7DMcWYb6ZVkIbpIFJ3ivimSaHyoDPQq0rNGryFFOcPxCUUUDR0MF6bQ5wM+j5XHaUY12D2uNAhwmxr2Mx/qKdzZB/TCUYzYvcLm+vTQ6sJqRIfo33777Zb4oYjg/0yPoGCqDDyXOiVDoz/zOzs8fooxhqI3b97ccZssckYhZqaRcFtOod1c5rQfneNPUUgPqBNObdGecvY9xR9FIfPkOb7txSkDsWXLFiskvao4jYVQ+tzfOv76KtzfMOWFxxhsvnV6v7leqHCMOtXmcILjo127dlZ0BOHvaMxiJJIJr2sduUFDF9vDFBdCIxK93f/991/Q/dH7rQ0p9J6bRfLChYKf9VEYkWGPcjGPj5E9vGfq3/zvf/+zvPfa2094H9EpK2yjvXCkE3qbNEzRuGY/Fh3VEs65qylE9AuCIISBhPcLguAEHyopUunl9AfzpllQjR575lQHquhPkUoBrB+yGXLMcHKnEH965Rh2y3oCFKYsDMiHdeZza5jTz5oAFNjcNx942VaKo8rCPGI+KNPzFW5tABM9uwFDbu259vQM6mrwWoQ4iUIWbmP+P+sXmKH89G5y+yzcxv/pXWXuM/uRHkE7zAGn2NW54XobhCJfh8EzAoNCwZxxgFEb5gwAhMYD/dk0JDAFwh5toD/zOzv0lHI2AdNLaq9DQEFCMW6mLnBbTqHGXOa0HxoxOD4prPzh1BbdR6wUr+tJcFzSCGUXk4GggacqYynQWAilz/2t49RXwbbr9BsaROhhZrFAfzNnEBoO7ek4gaDYdNoe647oYpz0ZhMaBFnzwRyrHPfcp2mMMKMt9LGYy2gs4PkKhpkCwxQNesKrAu8BNLqx1gnvp3Z4fPS4m6kG3bp1s/bLoosaGhadDLShHgvHlv1Y9PbCOXc1hVTvFwRBCAPxugtC9cPHy7UZtbfvcGEoKB+KmRcbCIoxim/tUQo0FRgFC6es0+KR8IGc4af06GoPK0W8DlHu0aOHFY7KkGvui9tnNXWuT1FAMcXQbgpsFlxjhWkKPIrXcGFIM7dBwc8pt8KFotPugaboN0OaGT7OmQjsFbLNPiE0bvA4mddsDxWmR5NeSdMTq0UpK37bZ1NgaD8rgptwHf7eLLimt0OPtsYe3kzRwVx4p8r17Hu7wYXn0qnGAI009KiyroAT9F6ygBgNJJyyz74fGgTYRzrEn8YOGn3sFcYZCs3ickxbMI0eobSF/Uyc+ihQaLwdjtNgXvBABBoLofQ517F7ablOoGrs/I5CPpTf0DvOyBMajTiLAK8/J+HJPvAX/u8Er3enqBPeR/RY3LNnT/ly5rk7zRZiYhZS9LcslGkAzd+YQrwq0DjIeyELMeoZJcIl2uH4wv2N/fj12A3n3NUU4ukXBEEQBKFOwefC5Fp6hftMypDRdevWlYdUMw+Wr0DefgpbPvAH8mjS88aHWj6Y6xc/U8Dp6vWEgt3+4KkrYeuCZfRs2+eTp5eOAs0sahYqLDDG0G0KcF3sTs89Hir2wmeE3kfTk8Z+4jzeGopVRjPo6dUIDSP0ZrLgFtMD7G3hMgpBU0hqUUdvtcmiRYss8WY3gvBBn+HNuiK+uR37NkKFoo/HYgoxniP2ixnJwHFADy3POccLjS32AnGXXnqp1Q56Pgm/53raK0pRaY5J7ofLzKJ7zOFnqDONONqbaz+ngdpC0U+RW9U+ogGrsl5SjgXWEfA3FkLpc65jv365Dg0q/uB4sdfJCPSbffbZxzKa6KnonIQz+8Df9IRO0JC3YsUKK7c/GBT8rMFghrpz3DPXvb7A8csZNhhtxJQp+/GxL0xWrFhheeb9TbtoYhas5JgKBz0jRjjnrqYQ0S8IghAO4uoXBMHwenL6KFaT5kM/H/SZM67z0p2gKKEQCeSd4oMjX/Tcm/Az80jNEH/mDbMAlxYO/J8eZz7csgiXhuuYMwdQrHFedVNAhwIFNPO9GcZNeMx80UMeDnyYNsO+WSCLRg0z156h6trAQYFCUUtPtjY00CDA9vM4KRZ1W+jl1XA2AApSPX0gIwy4X9ZXsD+Y8xjoMXfyRnLf9JrqwoLMU2d7KbgrA8O7WVfh6aeftj4zGoMh9bfcckv5Oqw9wCgSpiYwZJnHRm8uC4hp+D3PI49HHz/7TLeT3n0WNOOYYB/yxfdcpr2RFO9sD41DPL96O+Y4C7UtnDLOrIRPQ4qZxsLccbPqux2mszA0Plh1djscC7y2+Ht/YyGUPud0fjSAsG4DYbQM+5fXuIZ1NvT417/heAj0Gzu8hrhvRoLYUzZoRKSRisUQQ+03FvJkBBGjb7hvDc83z50pZinumQrwyiuvlN8zGKVkj3qp6zAyiDVKeL5MeHwMu9dTTvL9Sy+9ZI1PU9D7g/3AMUwDazhFBgmNKYxWoeGhriHh/YIgCGEghfwEQdCilYKPD9U6794+7zsfNCkwGepLcUrvHh86TcHP3GOG+3Idhq1TpLDiOMUXC6VRZGn4mV52vrguRSfzq1kdmx5aFpeiEYCCn5X/tRefQppT4tGzy2UUvvTUspAfi/uFE9LKyAY+ZFMgmtg9aDwuXcCNv6GgpmdOh38zbJ9totGEfUKhxyJ0ulAWobeWYbxauLEgoVmYTVcP58vf/ODsE/YFzxX3RUFPT6s5NzthuDvb5y/lgiKN864zqoB9SEHAmRgCVdIP1qc0EFF8M4qABhnOKmAaYTiDAIWpPfJATyPG86BTRWgMMtEFIAmFEcP29ToUk1xmGjSY60yDh4n2lofSFsJxTYHFsalz6VlHwhROwcQwowzYPhqlzOkY6cFmHjdTMvS1wvGgrw+OBR0R8+ijj1a6zzmOKZIZkcP0E45LfjbHNw0Mpnjkd7yWeE04/YYh/DpNhXUfeG2w8CVrPNC4x7HJqBYaH2i44LGzAKJplArWb4T7p9ikcYDHxjHN+xRTFzi2WXNEi1oabFj4k4ZLRv1wf/ra0tcriwMyfJ5iWRvj2GZG+HAdFrHj+eA1xmgOXf2f54YGBW5Pr8PxwIgKPVsJ1+F9i8YMvQ6vKRr67DD6gmOd67E9bLeGfceZEEx4fLw3sj84FtgXxx9/fHkkDI+N7dfjiPtk2pWG1wrH1QcffGAZZLhfjhnz+Gnc4tgmHCt6zPHc8R4Rbq2AmsDlDiUZQwgIb3DMfWIxC7NgiNDw4MMdQ6BY/CMUa6GdiTcD7TZUrQ05qUByLhDtjcoKm9KowL93G0LzjTOB7c2Ba4znqTIXEFWFOwd/72YbnAswWzxyLfBgb2DrpUBZiVp2rfF3/AnPLFc7mwB3B5/etZwuUUDWLuC+29XnIacBvccCF+0BPgphWtXVGUCqocInFQDX2gr0rmgCdFXFnh35Nx3o6HmGfqsAuMr2++22VLAWO4BS47twxuH7hcClnto+f6cDPcJPYYsIzVTEm8UjScA5CRW/P/BX4FiVfoiDnwLaGlM7X7AH+NTh/LyZAhwR57yvTlHArCa+yxIBaF/n/UnA/FeAfWZ4x1KG57zNHghM8s7Y5cONE4HWRsrnzwcBh/yKaoPXfJpDhOFfRwIfGtGj7NJlGUB7T2RsSxdw85Xq/fKuwDOe58URMcDXxp+q8TnA1BLv+PqwELjYM2b+TAd6RVfP/dB8gGbOLx9M9dzfQu1BDyPPqxbnLCBIwWvPra8L8BGWQoEGjEjlCgvVB8UvhTujYgIVxmNtARoQKPSdZh5oyOOQBjnm51NYaoNcqP0m1C7Z2dmWYY11IypT56SyfydD1aES3i8IghAG8lgpCEJDhpXPdZV5RhswPNvM/RaEysL8fnqYgwlXCid6af3NVNCQ4THz2M0InFD7TahdLrjgAiuyK9KCP1JIeL8gCEIYiOgXBKEhQ48RQ1MZAk+vI0Npx44dW9vNEhoA4VRZZ266nke+McF0Fj3Lgqay1emFmuWFF16ocO7qEiL6BUEQBEEQBAtWMbdPayYItUFdFlDVRWM85oZCszp+7iS8XxAEIQzE0y80NGRMC4IgCELDRkS/IAhCGIhAEgRBEARBEOoTIvoFQRAEQRAEQRAEoYEiol8QBCEMxNMvNDROj1f/D6ql6RwFQRAEQahepJCfIAhCGIjoFxoa4+OAntFAFxH9giAIgtAgEdHvYf78+fjoo48QHx+PX3/9FW+88QbatGlT280SBKGOIaJfaGi4XEBfeRoQBEEQhAaL/JkHUFJSguuuuw7ffvstoqKicMopp6BJkya13SxBEARBEARBaJRs3brVeh6PjY1FY2Hjxo1o3bo1XLTGCvWKDRs2oG3btmiwOf1ut9vyjH/44YfW56VLl6KsrAyRpqioCDfddBNiYmKwevXqCt9/9tlnGDp0KPbff38ccMABWLBgQcjbnjFjhiX2n3rqKdx77734559/kJSUFOEjEAShISB/hgVB0PDZ59BDD8UhhxxiPYOceOKJPs8oDz/8MAYNGmQ9wP/vf//zu519990XCQkJOPDAA7Fw4cIKz1nt27f3+/vc3Fxcf/31GDZsmPX74cOHY8yYMXj66ad91nvxxRexzz77WOuMGjXKWo+/4++d+OOPP6x1KbpatWqF4447zlq+fv16XHPNNeXPW3vvvbe1bZO5c+fijDPOKF+nX79+uP32232eD4P1HeH+7a977rnHbz906tTJWseE22T77dvhs59m6tSp1vFxOdvcv39/PPnkkxX2weMcPHgw9ttvPxxxxBHWQ34kmD17tiVs77rrLp/lP/30E44++mgcfPDB1vkaO3as1bcmZ599tvWdeWyXXHJJhX0sW7bMGmf2/gm1H8mnn35qnSuOH463q6++GgUFBT5j9b777sPAgQOt8z5kyBC89NJLlegR4M8//8SECRNC1gJ04L3yyis46KCDrP7ieTr//POxbdu2sPuCY94+Xr788suA7d21axfOPPNMq194Tdx9991Wf+h2O11LNGrwmoyOjrb6i+Ng+fLlOPbYY/1el6EYDS699FKMHDnS2ie3z2vsiSeeQFZWFqoTXg8tW7YM+7q46qqrrJc/zPvo22+/7fPdb7/9Zh2nvn/OmzcPVWXKlCmYNGmSz7IjjzzSOn/2a9SE95Fzzz23WnRwrXv6161bh3Hjxll/oHiDOOmkk/DOO+9YN4UvvvgCXbp0iUgjeWGfeuqp6NGjB0pLSyt8zxv3WWedhVmzZqF79+548803cdhhh2HRokVITU211uGNhzcEO/Tu8zimTZuGDz74ACkpKdbNghclb2qCIAgmIvoFQdCcfvrp+Oqrr6xnDj7oUYBRmM2ZM8dKF6SopkiiuOWzCQVRZmamzzb+/vtvy9nAlEI+bDo9SG7atAkff/wxnnnmmQpez8suu8z6/vfff7f2SaHxwAMPWKL18ssvt9ZhyiJFyL///ms93xA6bNiuK6+8EsnJyRX2S9HA9vBBms94+iGY//P4fvzxR+tBm+mRfMbivnn8+tmKn9l2PqjzOYtCmoKA7Q2l7zROfeLEHXfcYQkvJ7hd+0O8ybvvvmuJCm6DsA0Ubl27drUe9gmfbdmHFN3Nmze3jA/8js+edBzZyc7OtoRWIJFAeOwUaeYxay666CLceOONuOCCC6zPt912G0aPHm05tsxx9P7771vnyB9vvfUWnnvuOUtcVrYflyxZYj3nsx9oiCgsLLSEKo05FGXktddes95zTNBQxfNOgw+9nzSShMr27dstAc3xo8d7MC2wefNma7xPnz4dAwYMsNp3+OGH44QTTvAZQ6H0BcdCqONOw/HLa4uaJC8vzxL/1CA0kMXFxTleS4mJiUhLS7O0E6OMNTNnzrQikJ9//vmw2sBzxPHB6//ZZ5+1lvF+8Oqrr1pjiNcrx1R1we337NnTOq5waNeuXcDv9X2UBh2eY/aj/g3HIPuW/RruOfMHt8OXvp+Rr7/+OqjBjOPzr7/+sq4BXrcNytPPPxS8adNS1bFjR2sZb4i0hHKQR4o9e/ZYF+k555zj+P2DDz5o3Uwo+AnbRIFv3uD5B5UWNPuLf2R5wfXq1cu6OPnHiRZT3mgEQRAEQRD8ccwxx1iilVD4XXHFFdaDN8W1CcUHvZMU7XYef/xxS0wFEqR8gNyxYwe+//77Ct/TyUIRpkUjn2P4DKafy/Q6FPFa8BM+QB911FFWu8KBz018COcDPqGoo9B47733ytc5+eSTLeGhQ5QpACmg6cUMt+9C4b///rOEEvuhMnDf9Fpr6KmmV89sLw02dDBR8OtnYIrbb775xnGbFP18Jg4GxRmdTHq7JjSmnHfeeeWf6Q3lMzcjAMKhWbNmlke0W7dule5HHivFNs814Xhju3/44YfydfhcTdHH8034Pz+b64QCRRPHpxkqHUwLUFjTy0rBr9t38cUXW8dNo1i4fREONARxHFCoE0YLM9qC+sTJQEFoWKHRiAYfU/ATtpvXPSMSwoH6h1EEjLLR8BpkxAONH9UN+5b6qWnTpmH9jv2m+y4QvF+xb3medRRFXeOGG26wrvvdu3ejQYn+nTt3WmE2PMlm7glDZiJ5sPyDEuji/Pnnn60bo4Z/PBjWE+pNkdY4hv/ocIy1a9eWGxAEQRBq29NfN/+0CYLAAsAmWgjTy2hCAUnxRg9jfn5++fKVK1daosDfM05xcbHlwae3mAKIQsBJ7PB5xxQX9LTx2chchx5IPreZ0GtrGgJCgQ/c9Jzbj9s85s6dO6NFixY+XjI+W5mes1D7Lhh8dmP0AMVzZfOg+/TpUx4Zyu29/PLLlmhkygGhwYWC2HzWTE9Pt7zO4QpwE4ZBMyRdRxjYoQffjCKobB/R6MQxEErEgb9+ZNoDz6kOr2afMKKD0RumIWfx4sVWpATh/zQWmOuEwieffGKFpIejBdg27d0O1F+h9EW48FpjpDANHBp6pmmgsadj6EgGCv6bb77ZCuW3Q2HLsHz2Q6jQWEMH52mnneb4/a233mqlpZhGFHr/99prL8tbznbwGtWpPXSAchxwDI4fP97qe15nTOeg8WnEiBHWOjrNguNBh9lrpyuNnHSq6ugGRodzOzSGaB577LHydYJBYwK3w2vOfq7t8PguvPBCK8KIUTtHHXVUeVtpzGNbeXyMgqBBhOvxPs32cB80YOnUDvOezSgOGmXYlzQw2Y2UNHQxCsGfMbDehvf7C6PixWVa1aoTXjg5OTkVbij8I8YLIBRotGAuP622GRkZ1o0jkNWdx2feQLh/fcOsq3kcQmTg+aV1sfLnucplNBoVbjf72RVRqe22JLTLZx/W6XSHth+ee/N5SBmbfc+rGh/+z7V1r/Bso8zv7028bdP3mVDHodk+t7HfmieqYp/7+d5axzpO47Of82Nfz3db7CN3hWVmX9bva9J3LHuPt+Kx+vzKGjvuKo+Zqt8PfbejX7oNBbX05zQhSs1oUBkY2klPOJ0f3mNR//MZgw/BfKDUIbZ8wORyLdDt3it69plySG88n0sYScmHWTMcnw/u9ELzAZSGheOPPx4dOnSoINSZHkBRQk8pt8UH4XDw51njcoZU0wlkX4cP1DoHn/unB93fdpz6TnvhKR65jEKD4kULdMKHf0YxUBQ6tZXvKUTpvabRg33H/tCC3oT9yHNEr/vkyZOt9vD3NM4QPh+a2+az5qpVqxyPyX7+neCxTZw4sVycmteAvz6iQYfRreZ6jKpgTS1GuXIc0IgQSGg77YM1IAL1I9MJfvnlF2vs0BNPgwWP/6GHHipfj0KdIf6MBuD6jNxgNABFUqieWTrhKMpoOArWr8G2yf6i+GbUS6Dx65QqwGgVahkaCHhNUUA6pXEQjg9t5NLb0/3P75guoNmyZYtleKDwpaD01y6mSLP9ofYbr0FCAe30G157Zvt4PISGAh4XxyFFOa81ClpG7rANrK1A4yCvHd5XaMjgWOH5ZTg7vdo859RPTBnS540vGpF4vekaEzQS0QhCQwOFNqN/GGHD35o1EJzQ33FsMcSf0U+sXULDm30dfXyMtqEo5/3zlltusa4bHh/3y7byuGl8/Pzzz600Et572B7qW0aDcB37trk+U7J4fhmdwPXtaQXcPvuNYyhS6D510pqh/g2ukuinxZOhJAwjozWaFiLeWHkDoNWoJqDFhdhzofhZfxcKPDGhnhxeGE4hW7wQzIImQsODFxZvBrzw/N38AxOeR6Wxk51Nw2JkZ9JQ3jDvrW/3nj3IyspDQXQ6EB08D23b1iwfGbU7KhGISfdZZ+u2rUBcy4DGykSU+v29vdiOK7ZluXbjd+GMw5yoBCCmSfl+0z37rXHivGOfkWBZu/L9fk+279iGmCLvHzJ/54f9kOUudNwWz3VW1jafZdbfbU9fUjwBaaivqD/03rxUHtvWrVnlx2r/XsO/11lZO0IeM1l+xkzV74fe9nBbFCy69k5+GXDAotqp2P1b72IkVuJw6AygGGIeNz1I+lg4Dnl89P7QY8ZwfopO9h29oPzM/Hhirz3EXF8+OHM5xRbXpffP9OZR4NFLxhz+a6+91noQpaGAbdECjqHS9I7x+eWRRx6xntN69+5tCXJ6ZwOhHzSd6iIRGjEoeHhM9nUYDs8XPf30tPGBmW0Lte8oYBlV8Oijj1rXKwu78UGfD+TMyWbO+Ouvv25FQ/A32oBktoMP/BQrNLDwQZ0igNuksKMYNaHhgmKC3ncKMp4XegB19Cq3ZW6bgpAF15z6Ri/z12+sZ8Bj5fHodQL1sy6Sx3NGj6RejwKDx0chxrFGbyyNIzxOep9NnPpHF2fkMdPD668f+YzPdAwaXRguTs8ujTpmW2ikokGLXk4alSh4WS+LgsrfcdnRReCYeuv0Gx3RYt4v/BkPKEYpWJ3W89cXuk/5nM//V6xYYYlhGiJMD7UJxwB1B+9lOkpC1wzg2NH74P5o4OO+KUgDtZ/Hz3MYar/xfBC2I9hveF7owadRQYtIXr88t2wfr1G9DRo8+J6GNt4zKOIp0rmMIpljwL4/cxzrfqbG4jJG1XDMMHJGpyBp0Rqo3fo+ynV4HbCdrPug7wXm7/Xxfffdd+XLr776avzf//2fZXzkMWlo/OPvue1A459wGe8LdBbzOxpHeN3Y1+O54/0l1HMXCrpd/Jtsr+sSanR9lUQ///jQwkwrGjuC1h1Cyw//qNQEusq+PdSJn6urAj/DccyaBfT0M5yDVi+eaKHhory8LutcV+UhVwiNJk3SUbHubtWwF+9JTUlBixYpSMh1AcWBf3tIjBstm7Tw/T1vPTb9mtk8E1ABQI7wD0aLaP+/N8NiLbJ9vwtnHKYV0Tpacb81jnEMfHhoEZ/q93vSrGlztDDsPf7OD0NsW9gjNbO957pFRgufZaYH1/5AXN+wn3seW2ZmC8AThOdvbPCBoUVT2xirxJiJ1P2QxnI+tFBQ6fzymFqyTVn7jo5BTCWuEz4P8cHWnjvLccj+4bFRkDMklh4vFhtmRX4u1/1n5tdTSLBgG72vhOG+DI1l1Xs+7JrwgZ0ventpKKAApNeVn3kOCZ0xfNFBQSFEgc0HXhoDnIS4hudYt98OvXZ83tNF/fzB0GGKfhaiM6vmB+s7s4I+hQKNFRThzBumWGZ/MlKT9wHCdrK9ZltpbKHwNFM6GRFBAaALHdqhMYD9SCMJ+1tHFvDB29w2q7JTBOllfP7lwz7RTiC20/S2st9pwLjzzjutaAJze/76mXB9iiQadkzYp/Znc4ZB08CiCwCa27f3D+E2eaz6GdZpPc5wxSgDHaXCv0XsWwpijgOuy6J+PNfsY0IvLEOqGc1CcRQKumo9x5NTX+i/4eb9wg7PE68Rjg0aQJzw1xeERioNo2PYPwxp5/acitRxDFB3mGJMGyc4dvQ+uD8a72jwowGL519f33Yo3mkYCLXmhs6jZztMLcJigBzDNILQCEgPPiMwqNt4XGabOb5oPDD7ludYv+dxMvpFf+axUQPZ22iOY77n3wjz/sDf8Tyb65BAx2reR/m3m9cn74k0FuprQP9eHx/PnV6WmZlp9RGLz5tOXh6zU/udxgaXMc1KL6fxw+n4ee54Hwi3Xkog9N8J3s/t99pA916fbVSlATz5zC+7//77y6fI69u3b7n4rwl48LzZM1zGhJ0dqdkD7PBkOlVZ5ckQIdjw0Q9Acq6rH5cr8n3ssoU7cx/WqQwhnDfROvf231dcL9jYUOPH8z7M3+vvQh2HZvtcxn5rk/I+D7SOra3+wq0DH1PF82We6Pp/DbuCHK9zp6mx44rImInE/VA/YOkXSYwG/uqPWiEhiu0I7zf0ENPRQA+UHX1M/J8PqXzIp3gl9FCbx23mUnOKMBpD6KXX0JPIomj09ujCb3ze0Xn5fMilJ5gCm8KLniuKMD7wUzTzwZFijcKNxb74nESPsz1/2gl7nje9adwGp0y2pxNQDNvzphl2zDBa+3YC9Z0dndPNfVM4M++WfUEhTRhtSrHNPmM/+9smt8OpzbguRZy/9nJmJ7aXHl8daWW2n31PUa+X0buoodjl87BTRXFul6LQjNjgtjjLAj2X9NabBpAXXnjBOlYaa4LVLeAzMQUO+8jfuuZyjjFum8Yb7bBz6kcWlWNEiflbjh+uSyFFgwaNTDQk2ddhpAY9wqFAIaWFu1P7zWvF6Xs9EwTDwO1Gj2B94Q+OF54vRjtwXNjhMeoIPb09rUs4dsx98BqkCGfUBFNOaMCiIcsOj58iNdQ6Fby3EOoxeuA1DK3ni33CMWn2G+sz+NNseh22195+8xxQXNvbaL+nUbCb69jvd073P3/t0f9zvFF/0hGrZ9hw2l6gtjkdX7D22I/faT3ep8M5d6Gg2+309zbUv78ReeLhgGGH86UHDyvF1hS0UHPKFA0HIENidIVRQRCE+owU8hMaG3xWovCvjVe4z2kM+WWYua7Mz+cR85nEDr1rFH0UdYE8QfTIUeDr6aP44meKAYoG8xnIngurC4rpaBZ6xJm7a3fc0GtVmYgXCmZWCWf4NMN1iTkfO6cCtM+PzvxoeglD7TuKKD7UO4V+08hAbyFDrxmpwNxb9g/D9vV0a1rw0zml853N7VAYa68tiz/bMdtLIco8ZPO80sNHkVuZZ00aCiiUzXNLww2FGd+bgp/jgCHJPOccLxTzZvFAetFN6OmlIcRuiPEH+5HbNNvi1I8cK/Z6Xfqzjqz1t044kbfagKXD1cOF6TA8dj1lGvtK12QIBYaN0+BmHy8UXP6mlqPRjEYojgcNrzca2PRsAiYcdzS20ctM8a8LzJnw+MMpgMioa6Zd2+exd4IOWu0RN2GqEI049QVGXbPApDlbgXl85uwbO3futPrUycBixxTRNH5RxIdDuOeupghb9NMiFcorlGlKIgWtxMwf0ieXIR+0KjGPTBAEQRAEoTqgB5YP2QwTp7OBD/p8mJ83b57f39C7R4EcyAvJh0a+zCJVhJ/5cG9W8Wf9IrOYGv+n55uCgqkEGq5jVqGmGOIDPsV7OFBQUtTrB20eM1/mNMmEYbe6TRS4fDZjCkKofcfjYh6+FkT0tDK8mp7WQOkIdijEuB2dX0tvLb3OuriY9nZzZgUNve00sJjtZQgxPfE8fh3uznBpFmWrLhhmzmdc5lqz/gP7iKkUjOAw+9E06FCk00jhVKiwKtAgwfPI1BTCscT0CxpMdCQE+4upFLoK/Jo1a6zoB7M4NmdGcBLCGnpIeY5NwRYq7CuOaeZs63FJY4luTyjQCMWxq+uC8TrkcTJdQBvIeF5oWKDxi/B4WCSOEQ26bxhWT8ODPy8sIzJYA4EGAF5PTLsx4fFT0Gp43oOlEL/55ptWNA1TKUxDIKM0mE6k28LIBKai8J6g01CY3896IZGcyrC6oSGG16Q+Dxp9fEx10WkWjz76qFWTwGm2BDs0COqZTmhYCHfKSfu5qyuEHd7PAgahEMmQBoZd8YJgbgvhfJbModfTvTCEjX9suJwXDwc182TM6q6CIAj1lVoruC8Igl8oFOlVZDixPW+YxeUIxT3FJEO3Ka4Zns1nFFPwU3xSSHEdPmOxQj9FEsUlPd0UfBp+5gMuX1yXD6Oczo/PQwyzZ24nxQoFP5+DtEihGKPYYiV1LuNzFb3GFAihVPE3a6HQO88QYvu82roolxZf/8/eWYBLUbVx/CVEBZUURcUACwu7O1GxGxXFBDEQVD7sQDGwEBsV7MTuwEJMLGywE0QRUcGA7/kd7rucPXdmdmZ3L7fe3/PsA7s7O3HOmbnn/9ahrgBGB8LmNYddvdJp2g6PL1ERTN5JqSQHmOWUua4wh5XwdAp1aVg6bcM54LHWavNMwslfZj9sy8uvfk/7YISgf/CWYxjg2Ar9R/QBXnqOj7DGSFFqmhDzV170P//iXUcoc/2stEDERGjkoC0VQvK5FvqTvkewEPnAvwqeawwffvtgtKG2QdiO5K5HtSNFyxhjOPVoL/oUowfjQdvgxBNPdPN/hBXefaIhqI/g1x1g34XGHKIdoxTFwtNqAcYkdRoAw5iPn0ZRqC3w2mOEIrWBfuY6EfTUK/DPBWHvL5PJuKUfCLPne65Bx5ieO+2rhjZdLhMxT9tyzhiQeF5wf7ACmV8HIU27IWqpmYHhh/HM+dMH/EvtBa3HoM8m7i8iOtq1a+c0E1HajCPOU7elnYnooZ/5HCMcxgfOnc/0ucX1cF2853PajWeNbsP187ziPHQbnisYOzgX3Q8GlTD6iPsXo6G/H4XoCwxfGtnhXx+Cnevjvl9sscWcg5jrYz9cFzDeiVT3U4HoO/qT1BaMM0TzsL1//Ri7+C1w3oxD7jlW8yC1g+usaTSYlXYtiAq4CfwlDErdri7ADcWgoDCHFfKr2zBB4Y8+IVvF/KEfNEBkidnRiUUzdUGRZn+INCphOav/Gib/3l/oa0R3kcltRPpeMud7lvBqWELMOb+fxTkkFOsa3E/k/E4ik3qLzKwogNpvthHdcdnsZ6382kLkrDPTH7tDQ5GJv4kMrPj7vXY3kU5dRHpOE7mHAmYJdJ1HZERgSxw+XaRfsFDIhBYiHYPCdD5jm4ssVTGHvmW6SJ/g95Nn1+PJsfAvIjO977KMwztniPSeXRdJxjQXWb6aCvm19iI1BzcV6TFf5e83HyWya0Vm2JZDRBb3CvkdPk1kZET/3LyAyI5Noo+1dEORt1rkf0Ywr/o6z20qMm6YyHqvzxlLLSv67Z3OIsN7RF9L/0Ei7bwyMs9uIbJVFf65455fKKI47ytdRe72Iotp0s9airSvWIp9kQYiAyoif8d3FBlaUbNsg8YijyT8qbp7hkivijEzurnIio2q5nmoMPFmokR6YNqCREbVMXt1h4kuVBsIGWaijdCraWiF7ai8XKPmgecfIw9CV0Owo2A+jQjGwDM364TVlHGIAMXTrJED/B8HJ9EDlrpcsznssMNcvYG4IqFV8XcyrQ7N/FcaC3Q5tzMMwzAMwzBqBuQvqxeMaAPCgokQMIxSoQYDqSlJgh8QMEQ7ECWAl7w+QU0B7jnfyMY9yXsT/DWbESNGuCgFCnHWRDKH94f5ZXEQtqXrzhqGYRiGYRg1HwQX4bAapkyILOHdhlEqWWoxEMpOPn7tX2UlG4SjE8ruQxoFL6Nm07Vr1xpdT65xqSFg5M88/vjjLj/CzxTQdUoNwzAMwzCM2gG56s8991x1n4Zh1MuUWZYiN2onrWt435Uk+inuQSVPrBpUSOQ9VmEKQWSx5hmGYRjxWKaqYRiGYRiGUS2if/To0e5F9UVybzSkgSqx/vIchmEYRvGUUDPRMAzDMAzDqOeUlCjTrFmz3DIufqENPgvXTDQMwzAMwzAMwzAMoxaJftYxfeKJJ9z/l1xySbceJZ7/s88+O7eOpmEYhmEYhmEYhmEYtTC8/7jjjpMbbrhBVl11VTn11FNdHv/ll18uTZs2rVR50jAMwzAMwzAMwzCMWiT699prL/eCxRdfXD7//HP5+OOPZemll5ZWrVqV6xwNwzAMwzAMw6hHTJo0SVq0aOGWkKwvfPfdd05T1XVYAY6o8IUXXri6T6XeUFJ4/8yZM2Xq1Kkyffp09x4P/2KLLeZuUMMwDMMwjLoM64hvu+22stVWW8k666zjHCFffvll7vuLLrrIrbvdoEEDOfLII2P3s+GGG8p8880nm2++uVsVyYflkNu3bx/7+z/++ENOPPFEWXfddd3v119/fdlmm23kiiuuyNvu2muvlfXWW89ts+mmm7rt+B2/j+Lll1922zKnW3TRRWX33XfPfffbb7/JgQce6I7JeupnnXVW3rLNerw11lhDNttsM1l77bVl4MCBedsUajvg+OGLFNKQN954Q1ZaaSU5+OCDI6+FJQi55k022URWW201ufjiiyttM3HiRPd7jkGf8WJJauWXX36RHj16uOtlm4033lhefPFFKRbOed99983ti3N74YUXKm1HzSxWx2rcuHGl9lGYix966KFunEWRph3p53Cbhx56qErONw2kC++///6p9/3vv//KsGHDZIsttnCRx2uttZYcdthh8vPPP+f14ZlnnunOn+tgfJ533nnutwr7ZbyHbfH6668XFOs77bSTbLTRRm6MXHPNNbnvvv76a7cP7nEco0cddZT7/P3335fOnTs7/cT3LHfOmKIgOhorC/Tniiuu6MaAf779+vWT5s2bu/vj/PPPl1LhHqB94u61LOdG/77yyisln5MxFzz9dCIPzjPOOENOOOEE99mjjz7q/sjdf//90qlTp1J2bxiGYRiGUWM54IAD5OGHH5btttvOTdKZCHfp0kXeffddmXfeeZ2oRtAibm+++WYnfEPP1pgxY+TNN990TpPnn3++0jEQAT/88IPce++9MnTo0Epez6OPPtp9/9JLL7ljIqwRMqRbHnPMMW6bESNGOGE+duxYN2GHUaNGufMiVZPCzCEII86HSTpCZfjw4bnvEPyLLLKIm7z/+eefTvwvuOCC0rdvX/f9M88844QN14WwwkiAiG7ZsqX07t07VdspUW3iw5wTUR8neN9++213jKeeesoJQrzHCEKEEKJQa1RhfDjllFOcsAVWpOJctt9+e/eedho/frzrL86P5am7du0qn376aa5NffBiXnbZZU5kRjFgwABnhGH1K7j++uvd9dNHOn9GgO63336y/PLLy3///Rd7fVxHx44dE9upUDvSP0nblOt80zB58mTp3r27G/s63gvtG8HMeH/ttdecYYc+3WGHHWTPPffMXddjjz3mjE30If2PUEegY0zw+4nr8sd7IRi/u+66qzsW6c6MMVKf27Zt64xl1D3jHLiPGOd6LJ4FCH7Oi/sMuEaEMOO6f//+qc/h9NNPd8dBlPv9yDExAt5+++3SpEkTKZWbbropk+BPOrcbb7zRXTcGJZ4NRg329D/yyCPuZlfBD1ga77rrLunTp085zs8wDMMwDKNGsssuuzhBCQ0bNpRjjz1WPvnkEzc38kF84J1EtIdceumlicscM1ln8o+XUosn+yA+d95555xQRvwivpdaaqm8bRDxvjhFAOOZ5Lyy8N577zmxrnM/RAsCHy+iijHEcuvWrZ3gBwQWxg+Ed9a2KwQeRPYbFyZMxAFeTq4X2K5bt24yaNCg3DYIWIwWKviB7zWFFd555x3n3dZ2Rkj9/vvvTkBGgejH0BLHCiuskDdXRrjTFw888EDus2nTpsktt9zixFIciFscboyxqqRc55sGBC/95Ye5F9o3ghYPOYIf6KdevXq5aASMYsCYZNwyHoH908d33HGHlKqHiNDBMKRjDKPFueeeG/ubb7/91t23l1xySU7wKyeddJIbO4yvUrjgggucEQRDTTkEf7lZYokl3LVHRd4YNUz0L7DAArLccstV+pxQFR5ChmEYhmEYdZV77rkn7z3huxDOgQidxily1VVXyV9//ZX7nFpICOVll102Nu8VDz6eQQQKBoAQJvN41n3v5/zzzy/PPvts3jZ45X/99de8344cOTLSS50E+2X+hwhUEPR4NzEIAN5xIgCefPLJXHgzXluiA7K2XSEwXMR5+fXY/nGhXbt2ru3x9Go7EP7vQ+SF7z3fY489nEcW4wvceuut7t9w32m58sor8wwVXANC1b/+VVZZJXZsKKRpZO3D6jzfNNx3330u8sKn0L7xqnOOSWOKcYlhINymVM3CPUEEAveFf09gwArvOWDs7bbbbi4FYIMNNqj0Pek8CGKMOcVCFPZnn33mIoxCwx7RKUQzMHZIR8CY4z+XMLAcccQRLlqB9BzSj3S8h2CI5D7Bk+8bydJCKgZRTEYNF/08+AjBCSF/Rh+KhmEYhmEYWSD1e/q/1fMKUtMzgdcXschEOoSJNQKAUHvfy58UGYloRvwQ4rzPPvu4HOswB5/JOSmVeDjZHyI3BIMDnkWEOjnRWb3poWAJha6Kzi+++ML9i2edfPjDDz/ceeIRa2xD6HPWtsN7ivBAlHPuWb2fhDeHbaJinzaBcePGOUNJz5493fERIoglHwwvRCcss8wyzuFFdAPh5AiicoBAY3wQIl4VFGpHwuMZY3y/9dZbO0GalFdeVeeLhiCNokOHDiXvizGF+GYMJG0TRtpQlBwvPJEdiOPQQBXCuC90T/iCmzYjTJ7UgjgQ0sXmu5NWhD4jgoUoGh8MHETYkI7w6quvukgI2tt/DvFM+f77713qCN+TkjN48ODIY3E/YKAgladQO8VdJxE+phtreE4/oSvkRZHbodZQ/hjwoNQiFYZhGIZhGFmY8Z/Ibs9Uz7Hv31pkviJmR0ymCUuOyrsHhAfeYoQ5k2ry3BGbFNzzvfI+ePY1L59cX0KBCaf2C5xRXwmBxH4J66dwF4YC3uMd1VB0cmmpKcA5EvaLMCf8mMl/FvDg+zn3oO/5DjAqIJBZvhnvKgICkbPQQgtlajvyzAlbpz4B3kdEKddCkbdGjRqlOl9CvBE/tCVh/cxTNS9doyMQr4Tzk7aA2CVigXQIzgvDheYlE8aN2MWrTB2BUgrVhZxzzjmuPoP2WTlJ044YZqgFwXx+woQJTvjzL/0yN8/3p59+cv+WugoYxgOWFfeLEYbQhxh+fGOUFtujrRDyb731lmsLCj1qPYpi7gkFrzaRN+HnIUQHaVtkhXOnlgD1PcIoGO4DDAI8g4AoAFImSG0ZMmSIM4iR7kD0kEYI8OzhvgnhM9I82J57ohi0+DvXaiu/1WDRT14MD3AeEmpFJbyDQij6kDQMwzAMw6jrUF0fMUXYbhwIcoqhIUQ++uijxIr+ePSp7q3hv1TAR5gxaQ+rmuN84YUXEaHN5B2PLQKVPGZAxBKKSxg+4ewYBThXDA54ttNCDn8YDq3v+U4NETiFtAgeHny8xng4ERNp245CeAqh0xdeeKETmYg1RGsaCFHG4IGox6hAaD9ee6IftHgYwpd+0X0SNYEIQjwxn6XN+D3F3VTc0Gb0BwKOooTAb/CYg65s5edrI779a1IwiCC2EKlVQZp2xKChIPyZ4xMdQF8SBTG3zhdjGGStNeFDNX6EKkYuikxGwfnjoKTehW+MwkOvRiHQVQDQOnGin3EfivjwnlCoXUGqy4477uhWyPDTZHwwfulYygrRRDwjSMcIV/HA0Iixy7/nGaukD1H74IMPPnCf+akURAucdtppldqPsUMR0GJTXECNfFFpEEYNEv2ApYgXlkPw81kMwzAMwzCyMm+j2R736jp2VgiXZnKP9zMJBAjiG087kK8fB2KEEGxfNJLjT9E6vJht2rRxnyEMNJSYvGIKgFFVnmOxfzz5bI9HDSGFEEBkI1SJEMAAkUX085vQA6niREOyMT6EYfqEAeMtR9RpIbUsbQcaVYoHOq3oB87FF7V4W/HoqrAhPDlcG51CiBhQNEQbIRmGifOe/HMV/b5YJAqAay5UNZ/zYqk5DDJzaz36NO3INojDr776yqVozK3zVc8vY70YMC6x8gLeeV2dIQRPN/cFRR4xxBSCtiBahbz30AAC9DMGlKh7gu980EnUhiB1gNUzCOEPx55ef7GebwweXCNRQhipQsHOsyNuXGJoTAPGA8Y+aRA8z5JSd5LQfjYvfw3P6Q8HMTdasTepYRiGYRgGEJFKiH11vBJqwkVC1fpvvvkmV5mfcGBeSd5+cmnxeid5MwmZReAzOdcX7xGfLDumINgJ4/VR76E6YvDaknPrg4cOsZHVWUPqAI4ehL3CvhEXWjldvYY+vMej7odBJ7Ud4dRh9XPNxSeqNC1U0afyvg+eVtIPVLSS6x6eL4YNPY6KsqhrCj25WaBPMdKQVsDqAXg7i8mLTiJNOxLtEYbBsw2h4RhE5ub5qgGr2BxvvPFcly53R2SJH5qOIQ2hSqE7+h2uu+663PdE0lDxPmwLjGVRgl/vCe4HdYDqPUGUQNRSdIhu7mXuW/Lro7zcXH8pHnRSL7hGDG0YNxQiPBi3fk0HtBuGEp4tK6+8svvMbzO+51714bypZ0HEEBEV5OUXg/ZzKddqVJHoZ5Di2T/55JPzHqgsrcHA5o8IBTFKXWbCMAzDMAyjJkP+N1Wt8aiRx85EH0GU5C1DcCAyktIgmQjzwnPvw3sKk/lV/AkrJlxbhT//Es6Np5rq3Arb+BW6EUMULCP3NwsIeyrm6zJb7PPqq692IkuLhlEh/emnn86Jba6FvHp+pxXVC7Ud10UNA82bx+tMNABe5yyRCRQpI5dfw+3ZP+kNfmTB8ccf71Y3oHAZIIpYflrDuRH9eGUJldb9cK4s05a03GISrE1OCDaiDIHF9RPuXUrF9ijStCOGF3L3NUSd/iK1gdpdahQq1/kyDtQ4FAUeX86NfssKUSOMaWpncH68MJBpCjJ9x/1HygzGBd3GF8WId9oLAQz8ljQGv1YZ471Tp065sUCoPjUyNJSeyBrqm/laKapCP4U6iQjg92F6ANdPNEDadouCNBbOmxdeeeBewJDjL1nJ84J7FyMk0TpECvCZ1rzg+uOeaQceeKCLRuJ5Fhof08B1YmiIMo4Y1RzeT0gPg5xOVrAgE0JGeAd/kPhjhiUwrtKjYRiGkZ6bFhA5aJrI4OIdSoZhlBmcG4hCohzDZbfIeQbmQyzTx8QecY3YZHLtC34m5IT7sg2TZwQIQpLwXDy01ElSeE+YMS+2xRHDxB5vKxX8EdSIBwQ/gkIFGyIc0UCeP5/9/fffuTXWkyqIK2HRPAQNnkTy4NkXIgvhrCAaqElA3jye8KlTp7owcvU4p2k7RBlREeyL6AD2R9V8rksNBzovRaBjYEDw0S5UL0dIAREIvAjjJp+ffSHY/SWn8X7SN6Q94P1H8BGu7OdwY2hBVJIqwPGZC5M7TcRAMdDv9CMi1AePq0LbYmzAuaY1AxCLvncdUYo413Byrp86BipA07QjnmoMLzjw+AyPNe3nh4WX63zpo0JjjvGEUUrTJtLsm1x0TZvBMOaD0FXxqlEzcWvDc+9hAEFwMxZoL8a2P77J18fYpasbcH9w/2HAYnzwHcYRNaj5fURdCKIveC5gOODep/1pE86T35FOQqSJ1sRI027UXlBjIGMAIx8pPowDjDgYbPg/9y59T20BxokaWTTaRp9bXC/3DN9j9OJ8gSr/pHbo/9GDFEOk/XkesJ+wjkLcuQH9XFUrVhj5NJiV0SzDjYRlT8OzeJDzQOHG1PAYbhA6FatgfYA2ID+NPLW4yrRG3YAHPA9rJhDhMihpGDRAZInZUXVFM3VBkWZ/iDSKX0mnIP81TP49DwWNcB3RXWRyG5G+l8z5fmYDkYYlLGvF72dxDnOWla7E4H4i53cSmdRbZOZsg7v08/5GX1axusyvLUTOOjP9sTs0FJn4m8jAirnM2t1EOnUR6TlN5J6/k3/bdR6REQvmfzZ8uki/oAjvhBYiHWfPSyIZ21xkqYo59C3TRfoEv58ckdo2Y5bIvA2yj8M7Z4j0rljha0xzkeWLyFcuB629SE2MFz3mq/z95qNEdn1w9vsth4gsPju103H4NJGREf1z8wIiOzaJPtbSDUXeapH/GcGZ6us8t6nIuGEi670+Zyy1rOi3dzqLDO8RfS39B4m081Kan91CZKtRUmVwzy8UETz3SleRu728d5r0s5Yi7SsiRRdpIDLguNn/H99RZOjsIvCyQWORRxL+VN09Q6RXxZgZ3VxkxUZV8zxUEE9Mcsl99cWcUT0Qyku/akg7BQQRWxQyq2kwhUWgY8AIq5QbNQ/qA2DkIQpEw8ijYD6N3kCchjnxNZFyj0NqEXTu3Dm3ckfadqttEDGCYYNoC9JFjOL+TqbVoZn/StMpfj4WBT2weGFFVgjx52UYhmGUBxX8hmEYVQn5y3hRgWgDVhkgQsAwSoXCgXh8CwlXBAxFEVluEQ9/fYLoEaJxiKTJ2m61CfqV6BH62QR/DQ3vDwv1MTgJl/LzxgzDMAzDMIzaB4KLsGYN3e/bt6906dKluk/LqANkqcVAKDv5+KVEEdVGWHnDT5nI2m61BfqV/rUI6Ros+gn3IieLfBtyOgg1oTqkD+H/WvzBMAzDMAzDqB1QUCtcfswwqoP6KAhbt24t9QFSIepj/1Ynmc1nVHukCAQhJlh/CfmisImGgZGbwdqYfvEJwzAMwzAMwzAMwzBqgaefAgJUaCTHq0mTJrm1YKFFixZuCRagsI9hGIZhGIZhGIZhGLVI9LsfNW7slnkIYckKlokxDMMwDMMwDMMwDKP6qV/VMQzDMAzDMAzDMAyjHmGi3zAMwzAMwzAMwzDqKCb6DcMwDMMwDMOoUXz33XdS36gv18wS8JMmTaru06hXmOg3DMMwDMMoAtaZ3nbbbWWrrbaSddZZR/baay/58ssvc99fdNFFsvrqq0uDBg3kyCOPjN3PhhtuKPPNN59svvnm8uGHH+Z9N2vWLGnfvn3s7//44w858cQTZd1113W/X3/99WWbbbaRK664Im+7a6+9VtZbbz23DSsvsR2/4/dRsPwy21KkedFFF5Xdd989991vv/0mBx54oDsm66mfddZZ7jxDbr31VrcE4PDhw2OPwXlsttlm7t+XXnop7/ubbrrJrVHOqlB8v8EGG8hTTz2V+37GjBlu2ehNNtnE9cEaa6whu+66q4wfPz63zccffyyHH364u2a2ow3uv//+sp9LsSS1EW165ZVXuuNttNFGbow9+eSTmc9rxRVXdH3pv6677rrc94zZnj17umPw3SqrrCJHH320/Pnnn3n7mThxohx88MFuG8Y1r8cffzxvm6lTp8qhhx7qxnwp0EfHH3986n1zrpdcconr5y222MKNyxNOOCFvfLPKWL9+/dz9xjarrbaaG8dR4rPQ2I0S6zvttJNrQ46thc3h66+/dm3GPb700kvLUUcd5T5///33pXPnztK0aVP3/Y8//igvvviiHHLIITJz5sxM7XX22We7fqZt2Nfrr7/uPud6mzdvLiuttJKcf/75Uio9evRwzwPGQanntv/++8srr7xS8jkZVVjITzniiCPyHhqGYRiGYRj1hQMOOEAefvhh2W677dwknYlwly5d5N1335V5553XiWqEGoYBljseOHCgLLzwwnn7GDNmjLz55puy2GKLyfPPP1/pGIiAH374Qe69914ZOnSozDPPPHnfI874HpHKMRGK5513nlx++eVyzDHHuG1GjBjhhPnYsWPdhB1GjRrlzuu4446TZs2aVTruxhtv7M6HSTpCxRc/CKVFFlnETd4RW4j/BRdc0C3lrF68/fbbz13rlClTItvuq6++kh133FEeeeQRJ8ZfeOEF6dq1q7z33nu5otAXXnihM1Yg5ABDxs477yzffvuttGnTRn799Vd3Xnpd9MG+++7rXrQpDB48WP7++293vRScfvrpp10fPfPMM074letcQrjuyy67TM4888zI60/TRvQ3fcn1tWvXzo0VBD7XxtLZac+LtokaW8qrr77qhD/bML4w6mBAQaTSfmpgwbByyimnuPaFgw46yI11Xab77bfflsMOO0w6duwopfDZZ5+5e+edd97JfVZo37TRBRdcIG+99ZYsscQSrk0R4D///HNu7LJf+n306NGywAILuGtiDPTq1cvdX2n7JYRxh7Fpzz33lFNPPdUZESh4zkpmGMuWXHJJ17bcRzwjdExwDAT/Y4895u4z4NgIYQyG/fv3T91mp59+ujsOotzva46JEfD22293q66VCkamLII/6dxuvPFGd91vvPGGM7AYNdjTzx86rFFRLyzSgwYNkgkTJpTvbA3DMAzDMGoIu+yyixP80LBhQzn22GPlk08+cQLEZ4cddnArHyHiQi699FLZe++9Y4/BZJ3J/y+//CJPPPFEpe8ffPBBJ/IQ/IA3DfHtr6bENoh4FfyA2MEzyXllASHM/A8vKiBa8FziRfzvv/9ywgnH0NVXXx27H4wSeB8R2YCHnWWghwwZktsGsaZiFhAICDUELbRq1UoeeOABZ4DQPmB/vqcf0YO3E8EPCKBOnTrJnXfeWdZzCUEwYmiJI00b4eVnbCD4AS8+nmE82sWeVxT8BsOBGpTwDCP6/Xa8/vrrnWFHBT8wzye6ReG4jz76qBvvpXDaaac5YYkwT7tvzo37D8EPRKggMonG0XFJv9911125/XLP0Kb+dabplxCMRUToYEBTMd+9e3c599xzY39D/3Df0pcq+JWTTjrJjZ3ff/9dSgEjyGuvvebGejkEf7mhr7j2iy++uLpPpV5QkujnD8Ztt93mbhasqNwoiPz77rvPWX6x5hDi8uyzz5bvjA3DMAzDMGoA99xzT957PKMqUHwQIIQlX3XVVfLXX3/lPv/888+dIFl22WUj98+8Cg8+nsHFF1/cGQBCmMzjvVRhA/PPP3/e3Itt8MrjGfcZOXJkniEgDewX0YQoVohmwLuJQUANAUQRFNrP2muvnfcZ++FaFELxFcK0EefMPXXZaK4LceqHWBPVoOIL8LwilMN+8vuoHOeSlTRtRFi4GjQUDABEf5TzvBgDvpEIoYg33E8pYaz4xgUgOsX3vJNekHU8hai4J6rAp9C+6WOiEMJ+/vfff3Oh8hgzCDNXMNCRRkC0TJZ+CWH8LL/88nlGCsYPxr/wntP7frfddnMpABgdQkjnQRDTDsVC2guRDUQYhYa9Tz/91EW7aNpInz598p5L06ZNc4YPxhAGMNIhSHeIAkMkYwBPvm8ASguRKxplYdRg0b/QQgu5P0Y8fBgMt9xyiwuJ4iHJjUneEQ+NJEunYRiGYRiGD+nh0/+tnldEanpqCL9GCDGRDmFijQBAlPpefj6Pg3kU4gcP7D777CMPPfRQpRx8JucIF/KT2R9CMQSDA55FhPr//ve/SpEIWUCwhEJUxdgXX3xR8n6i9kHoNKHS5JRzreq198U+TibEB5EXSfNO8sI/+OCDvOiKcp5LOSFKIexPrjXKi590XowZonA13x0PPc66EEQm4hVvOlEpGrYP48aNc8Ykzf1HrCEoyw157ojODh06lLwv7kfaJUyJIQUAQcuYIQqEtIFSYJykvScQ3KQBECbP8eNgLBeb705qBPULiM4g+iU0qnCP0C6kdaDbcN76zyGeKd9//71LqeD73r1759I8QpZZZhlnoCDlJDSCpoHrxPhCJJNRg3P6KY5CHlcI1i3NQ6EYSKnFPAzDMAzDqD/M+E/k0Lur59g37C0yXxGzIybT5OFG5d2rgNtjjz2cMGdSTd40Qooc7LiISDz7mpdPri+hwISzUwDLL5KFQGK/hPUjYjAU8J45mIa0E31JTQHOkbBfwtkJP2bynwUiOTWVQNH3YeG3YvYTtQ+uGU8kudd4HhFDeGQVoiAwZCCICZlG+CJ4okC84Mn1w8TLeS7lhHD1AQMGuH/pL0Q5OfRRRROTzgtjDykYRDPQNtQvoL1CkcbnvPgt7cj+qN8AGKwwFpDagYeaqA5SRhj3FEosFz/99FMudaNUjUJBQ63t4LPWWms548JHH33kxgGpGGGUQFXdE3i1iVApdK8QHaRtkRWiPaglwDgJNRjPFAwCPIOAKADSIEjbIJ2Fe+iOO+5wDlyNEODZg2EshM8wmLA9Bqdi4DqBay21z40q9PRT9IPiJyFYtfzBQXiaYRiGYRhGXYVQaLzxhO3GgSDH04fHHuGUVNEf7yzCRMN/EWykAUSF+JP/jBjEY0Y+NEIHry6TewWBRiguFcI5NukAnOtzzz2X6ToRkmH6gr7PIn7j9hO3D7zMGEgQc3hJo0D8U1tg2LBhzpsfQhE/2j70UJfrXBBOWh1fc9/9ivlJUR1R4FUn3xlPK/1HpXz2EVf0LO68iMbV9AXEGekiiE/Cv6MgnJuxyXhViBwglQADEhBZwjUiMMsJxjDIWmvCh1z4bt26uQhkP20hhBz/k08+2RnOosLwq+KeUAMOxhXu1zgwHBZ7TkQTUcvAT3NRMDRy7xOpoeMSQyD3DgVB9b7xU46IFuC54oNxgLFAf4VRDllQA2kp7W/MBU8/4WIs14GVWMNwEPtYGwktwYpFnkxYqdYwDMMwDCOOeRvN9rhX17GzQsg8k/tzzjkncTuiIxFveNohXBbOh+J7iBe/yBdOFLyXVCTXyuyIeA0lJjSb0HYqz3Ms9s8cje3xqCGkmJMh6Fh5gLkbIhgBkBZ+E3ogOQf9rtT96D7wUpKP7UdNUKwNcaLLGiJeePkCUXO22UYr3AMVwpmbIpzJ7S73uYBfHBDHGKHPSVXz06AFshXm1Zqvn/a8QjQPnzpcyy23nBtXtKHvFaYdqdPAizFDCDf79UFQU9urnKjnl3Mqpvjc9OnT3Zinr8lb96GtELB+yDvXSaoDIe5EKhcD/Rwaz/Se4Dsf8v6p1k/RSCJOiKoI21Wvv1jPN555DH5ECWHkCQU7z464cYmhMQ0YD6jhRkQIzzNqZxSDOobNy1/DPf0MIqpbYrUmjIwX/8eCjOWMm4pQNr/KqGEYhmEYRhJoD0Lsq+OVNSMRz/I333yTq8xPvjCvOPCekktLXm+SN5OQWQQ+k3N98R7hghdPQbCH4d5aZE8Li1FpPwxzZpk+xIZffCwNpA6Qc818T2HfiAu8v1n2E7YT+2G9eSCSNIyaQOAjQqmbAHhyQ08z3krQbQDvJY4qct21Er6/5HQ5zqUqQIiG+fvU0WLspD0vRByRD6GXFii+BoTnh9dPO1IIT8UYKQPatgqGEt1HuVADVjE53twb1GrghfAFUhjUi0x6CwUJC42XrDB+uB+4L/zxQxpBVFQGopt7mfuW/PooLzfXX4oHHeMQxfxYLo+VGRRSfrhmf2UAhDfLL9J+aigLI7Z5zvlw3kSEoP1o16SohSS0n0u5VmMuiH4gtIdifXQaL/5PeBvwsCB8pdT1Og3DMAzDMGoaODkIncajRo40E31ynpO8ZXjGEJxJedA6p8Jz78N7vJF+iD9RlazVrsKff1kfHi8s1bkVtvErdJOzSxg4ub9ZQNiz1J8us8U+cQBRyyksGpYEoceIceaNQFQC56M1DIBaB74Y1WUBdZ6pS9YRyaBeXqItEDbqtUW8MBfF8IH3kz7i5bdhuc6l3BA5i2hTCNnHG+97/gudF9dM36u4or/wzFLQj/B2BfGmXleMAqw0wbJzWhDw+OOPdytAUNwNEI4sf0fqQRbIneceiIO+o1C4v4xeGqjQj3DFiIXY1n4mlUNTBoDr0mKY5PIT2o7HPcrbHgfjnbZjvAHji5B9UiuA8chxcYDGQYV+CnUSEcDvwxx/rl+XkARqVGQxqgFpHNRy4IVXHkh7IGqD+gwKzwvuXYyQRLdgMOEzXRHkhhtuiH2mUfOBaCSeZ1G1JgrBdWJoiEtZMWpIeD/QwVhOdTAwIFm3NsuD3zAMwzAMozaBpwzBg9gIl93SfGrEPSKDiT3iGi8j8yNf8DMhJ9yXbXS9dDyViDUK7fkFxnhPVW1ebIu3kIk93kzmYjhbEA8IfgSFevERiYgG8vz5jHBmJviIyqQK4kpYoR5BgyeRHG/2RVQnotCH69IQc4Qo4pxQcBVXnCPrmxP5QBg3OdC81xxsPL5ElJLXTq463xO6Tl6+5hurhx7Rxnd4WhEQtKeGhmOMwCOOIPTBc62U41yKoVAbEcZPNAPLEnI8QsUx1ui1pTkv5uVEBlCJn21oIwwieGc1nJ/fE5WL55ZtWOEAMUcRQV+MM35JDSGdAK8wId2+6GelAQwFGtrOGOUaVAwDxpSkMce1YVTiOkmFSbtv0jbUkEOUjI9uw33FWEBMcx9wD7MSATn9WfqFdsZ4oksBcn9w/2EkYn98h7FGDWr+ubMviinyXMBwwFhlHNMmCHJ+R200oij81RMKtRvXoNdP22DoIcWHa8fgQ/FP/s+9y7OB2gK0H5EcpDhopJI+t7ifSeHme66b8wVqSlAbRP/POCEaBaMZzwP2ExZ5jzs3oJ81csWoWhrMKsYsUwE3DtYpql9q+A8DSyuMljvkp6bCw5H8MCyJWCeNugsPeB7WhDEWY9gaNEBkidlRdUUzdUGRZn+INJr9t6Yo/muY/HseChrhOqK7yOQ2In29LJ2ZDUQalrCsFb+fxTnMWVa6EoP7iZzfSWRSb5GZ/87+rN9sx5Ljsop6SL+2EDnrzPTH7tBQZOJvIgMrUtzW7ibSqYtIz2ki91RewSiPrvOIjFgw/7Ph00X6BUV4J7QQ6Tglfj9jm4ssVTGHvmW6SJ/g95NblW8c3jlDpHfFCl9jmossX3WrSyXS2ovUHNxUpMd8lb/ffJTIrg/Ofr/lEJHFZ6d2Og6fJjIyon9uXkBkxybRx1q6ochbLfI/mx9PV8V25zYVGTdMZL3X54yllhX99k5nkeE9oq+l/yCRdl7677NbiGw1SqoM7vmF5kRi5nilq8jds6OPHTTpZy1F2ldEii7SQGRARR2n8R1FhlY4LTdoLPJIwp+qu2eI9KoYM6Obi6zYqGqehwreMia5CBpd596oPvD20q8qcCgAh6g+77zzpKahOe1hPrpRM8FAg5effzWMP05fIITx1GuOf02m3OOQividO3fORZrQHhgWMeb4dSpqO0ThYNignzFWGcX9nUyrQ0tyx2MlwquPNVqLfRDSwmdYgA3DMAzDMIzaA6HdWnme+R2OHSIEDKMcIg8vcZLgByIs8CyXcynA2gKV94lC8HUUBRfxlNclwU+EEBEVFL80wV8Lwvv5w0B1WR9yMggZ0qVBDMMwDMMwjNoBHiPCtzV0v2/fvpWqoBtGMey1116ptyW6hNz8+gYrb4SpKFlW16gtEB1GQVKLkK4lop8/BoS0hKEshPzxnWEYhmEYhlF7wHkTLj9mGNVB69atpb5RX66ZVAgT/HOXksL7yS+h2AbLyLBcDa9Ro0a59TEpBmIYhmEYhmEYhmEYRi0V/VT6xEpDsY2ll17avfg/uRm6lIthGIZhGIZhGIZhGLUwvL9Zs2ausARLyLBUA1BkgsqChmEYhmEYhmEYhmHUYtGvIPJV6LP+I2uKAmtNGoZhGIZhGIZhGIZRC8P7o1hkkUXcUhsq/A3DMAzDMAzDMAzDqMWefp/tttvO/XvNNdeUe9eGYRiGYRiGYRiGYVSnp18Jl/EzDMMwDMMwDMNQWPr7+++/l/rEP//8I5MmTaru06h1fPfdd9V9CvVL9L/22mupb2LDMAzDMIy6yt133y3bbrutW7lonXXWkb322ku+/PLL3PcXXXSRrL766s4RcuSRR8buh2WO55tvPtl8883lww8/rDSfat++fezv//jjDznxxBNl3XXXdb9ff/31ZZtttpErrrgib7trr71W1ltvPbfNpptu6rbjd/w+ipdfftlt26JFC1l00UVl9913z/v+jTfekJVWWkkOPvjg2Al6165dZaONNpI111wzMgJ05syZbiWo+eef3y3/HMX999/v2naTTTaRzTbbLFc42ufHH390S0izilQSHI82iNruhRdekI033ti9aBuu65dffsnbhr7R9lt77bVl5MiRUgj67+yzz3ZtQB8dcMAB8ttvv0VuS19wbhyjmPacOHGiO29+z7jj9fjjj0ce64QTTnDj0h+vuo+DDjrIHWeNNdaQvffe233m8/bbb7txTzusuuqq8r///U/++++/gm0Rdb0s8z1+/Pi8z5988klZYokl5Mwzz6z0G8bdvvvu666RvmJc0Hc+/I5rZxt9+eOXa2ZM+9/zatOmTcF6ZNxHa621lmufHXfcMU+I0s8rrriia1f29/rrr7vP+/XrJ82bN3f3y/nnn+8+23///eWVV16RYvj333/l8ssvd+2/xRZbuHbg/xdccIF89dVX7vq4b/W6/HPSF+OM8+P/fMc2nL/PI4884p5t7Jt7j2M98MADmc516NChbv9x93cWjj/++MzHN0oI7x8wYIA899xzBbczT79hGIZhGHUZBNzDDz/sUhsRlAiuLl26yLvvvivzzjuvE9UIVgQShY4HDhwoCy+8cN4+xowZI2+++aYstthikRPjF198UX744Qe599573QR6nnnmyfv+6KOPdt+/9NJL7piIzPPOO8+JgmOOOcZtM2LECDnrrLNk7NixTuzAqFGj3Hkdd9xxbjWmEIQE56MCYfjw4bnvEBdPP/107FyPtkCg7rnnnnLKKac4rybisG3btjnx9euvv7rvO3bsKNOnT4/cD6IEAfrWW2/Jcsst59qQtv7oo4/c8tDAeZx22mmuplQhrrzySvn000+dAPOZMmWKO19Wozr22GPd+SN2MbTcc889bpvff//dtRfXjmBjP4g/xCliPo5LL71U7rvvPnn11VedceOQQw6RAw88UB566KFK2yI4owwCadpzxowZTqDxPaIYaDvG4vbbb5+3v3feeceNiajjYDzp1KmTM/rQv7169ZI99tjDjS9A5DImLrvsMunRo4cT7ojCxo0bu/GdVcTxW14KY5bxjDc8TodguLnzzjvd++uvv97dc4xtzlvh/KKMJwq/8cc0Qhrj2j777BP7G4w83EfvvfeeMxAgkukX7l/tP+qa0S7+vcz9gyGOFc+aNGniPrvxxhvd+WHEaNmyZcoWm91H9EfTpk3liSeecP8CBoQddtjB3Rtq9NBz4Dqjzolxy2f0M4Yb34DHuOV3jFOuCTAmcL2ffPKJ9O/fv+C5EsGB4bNc0GYYolZbbTXp0KFD2fZbX8js6WdwNGrUqOArbUSAYRiGYRhGbWSXXXbJ1TJq2LChE4xMiBEgPkzGEUWI9hAm1wjMOBAKTLDxOjPJD3nwwQdl5513doIfmMD37ds3N1HXbRDxKvgBrx0Cj/PKCuIKsR0aMHwPIR55DArAdt27d3eiWkEsIqBPPvnk2OPgFcWbiuBXIwvizBdrnD8GjCThrWL1hhtukCOOOKLSdxMmTJBp06bJ1ltvnevLLbfcUp566qncNjfddJMTXN26dXPvl19+eSemuYY48H5zDUcddZQT/Ophx1D0/vvvV/KeIwDpy2LaE/GLIUQFPwwaNMhFn/hwDb1795Yzzjgj0sjCi+OoQYf/YwBQ0U+hbtpHBSIGo8MPP9yJ7L/++kvSgji96667nFHBh3bHwKXtFbLCCitInz59cu8PO+wwNwayeIAXX3zxvLYD7i1EP0uPx4FRA0MKgl/bZty4cfLoo4/G/obxgSbCSKGCHzAWIfovvvhiycJVV13l+ggBrIJfo4UwSABe/rgIHMVvwxDGGgZLjGz+cwRDAZ9xz2I4KgQGnKT7OysLLLCAa39bHW4uiX5uNgZa0ouHqi7hZxiGYRiGURdRL7BCiL56XX2YhB966KFuwu4Lo88//9wJw2WXXTZy/3g7EVt47hAqGABCEBLPPPNMXng1gunZZ5/N2wahgHc99Fz6hoC0IEyTIjo5NvNFJukKEQ8YQ/QcED2EyCfBfvxtEJt417le33ihXv8kMMggwKPEJEKP8ObbbrvNRUr8+eefrm386AHOhWP71801+e0cgkcYr7x/DRhMEMr+NagQJxIhql3TtCfn63vMgegRIil8MDwREr/KKqtUOs7XX3/t/vWvu127drmIE90Go4N/nmyDESc0diXB+ZJG4QtX2G233RJ/Rxv5xibOA4NXeM8lQbQM95MPkQ9EYcSB0Q3DjN+XRIxg/PH70gfDymeffeaEcpRxTQ0cWbj66qtdSkTUOMYQhBGlVNHPMTC0de7cudJ3pJbw3XXXXZe4fwxbtLMaRcMxyP2mEURsg+cew9o333zjImm4J/fbb79K/Uqbse+///478fhGZTKbd7FwYmUpBH/IDMMwDMMwskJZoL//rZ5jN2mMkCjut4TqI7TI942aZDPZRVz07Nkz5+Xn8zjhSG4zIdtMngk7Jo8bceWH4+O5Puecc1zIK15PQn+XXHLJvP1gcEBcIBwRNkQWMHmvKpgDhuH2alz44osvUoUzT548WaZOnRq5HzziWUAkILoI6SbMPgRjDX2AVxwhQog9hhLfyMI1EVYengvbIghbtWoVOxf2rwGRynvaIRTihOwX2554nMm7ZmwRRYAQRvghBMNoB8ap5pv7aK0DhD3jWH8D3377bW4bDb/XVJNwmzRwDuUI0UZUa6qID05IjGWcJ0Y1vMOhAUSh/4hcIVoiDu2vqH4I6yIAnnIMfOwzzkDG+RAZFDd+QohGoa5EXH0PxkE4RouByAQ/VSKE7zSlIQqeUaSZ8PyKMsaQkoQBCwMFY4jtaH9SB0gzwEhCv2EYIELC1520Gc8FxntVPsPqIplFP3lTaQiLQRiGYRiGYaQBwX/8sOo59qWHicybnzafCia35K9G5d2rWEKQI/QR6ohFJq4U3IsT/YhOzcvH60XRO8KY8YT58y3EE/slrJ+iYRgKeK/eXPKJSc8kPJlzJOSYomKEOOM1LDd4yjXqQdH0A75Luw//d/5+0u5DhRIhxn6ofgj5+rQRbUEbsf9hw4bleYP5LOpc9Lso0ZbmGhDKHCvKGJGlPRG+hPNj4MA4RJQBKR2MS8LvgbHENqF33Y8ewPtOTQiiWEjXZYwwnjWSBAHGZ4MHD3b59UQyqFjOUszvp59+ivQkZwWDFyLSj1zA6IUXHuFPdAj3CFEahK2HHn5AWJKCg4e8XOORmhrUWyByJE706/FoizSiX+s9+BEfVQE1LpJEP8cPo4ZCrYjxiQiQKIOIQttoDQUMpXjviSLQVHHGI9EVvuj328yoIUv2GYZhGIZh1BfwvjGBTQpPRpBTAI7iWAizpIr+eMvw2G6wwQbuPWHFeCyjQvzx6FKwDa8hE268cIR64y1XEIDkLVPpnmMj0DjXNMWZs4KoDD18+j5OcEbtw/+dv5+0+wgFSBx4v6l6jjcYgUYkBV5EPOcIoDTXRNv61dFp5zTXQNpBkhBPc2xAJOHlxXgBRH6Q34/4BMYc0Q6I2zi49scee8zltnMNFC4kOoK8bo3OwNONl57iioxNxp46BLMUpEPAFlNPwodwcKIMMED4EM1CkUD2j+jn/DCakF4ThRa6K+d4JKKH1T20DkMUahxMEtA+KnjjVtwoFxwn6RgY0uKMFKR4ECmg0UxJkKahY0Db0L9PuQ/DwpZZ28yYQ2l3m2EYhmEYRhWE2ONxr65jZ4WQVCateB2ToNgc4luLv2lxtCgovocH2q9ATsgrHuuff/45V0wMcamh3uQXU8yLMFmOxf7xXrM9E3km2Ey0MTZQFI8IAcQgebLlhP2GxgTOE9LWfGrdurXz1oYePfaTJSyc80Cgav0FPI/sg3bFiIKXHUMMYsP34nKeeLFZDo6CjRwz6lw4RwQQ4phX2A7A76hhoPCe7+hfCqIRfaFVzj/++GO3moEuSUfkQZr2ZP+hFxuxTp0CoNgc167jSY0ZGAYQxBQLxIOLcCdv3vfGUojQTz0gSsTPRddQ77j0hCgYj3EV+tPA+dJ3GFuiImt8MIgQaUPBxhDC5ekPomOS8Psy7ActAOlDZA5GN6IrWGUhKlJarz+Nl19FMLnu4bKe5YZnB8Uxk4owRuXq6zgjrUGfKboyB2lM9Dl9pjVM6JeQ8LNwCfisbWbMwTz9hmEYhmHUKIiGJcS+Ol5Z8/kpDkfxKa3Mj8DkleTtJ5SbHOQkT+cdd9zhBD5h+friPdXr8SAqTK7DiTG5+34YMBXjwxxcBAQisSpChRFQRB3gEVQ4PiHWWbzBXJvfllwnnsQokRUHERAUodM2xDONkYT/I0CAdmAtegrqKeSt+x5Irolj+23NNSWdC952jCz+NSCY8KLyOwoQkq/v9zGGA11uTZfAS9OeRCXoOSsIVK3vwPry5PHrcai2r6HtvNdxEC4bSXg1USEaIUAIdri+PO1LlIFv2CgEfUAuezFwjhi3SGWgDfH6+kU1o7zrLB8X1rpQjzzh40QEJEE7s1yc35fklmMwihsDpB1QzI8IEto/RK8/zXKTCkYEDIJRy1zyXVjboBjItee6whUmACMVxpM4Tz7GDe4THWe6tCLjjfdxRUvTUkybGbMx0W8YhmEYhlEEhMnfeuutbrLNRBchFrUcW1j5nsrXmmcdN7Hlhefeh/fkufoh/uQTX3jhhTkxyr9MsPHykp+tsI2/cgAVx/Eq6zrv5YRl9vBIUq8AiDTQpb6yRlDgORw/frx7j9caT2CagtJZwCuLB5H+BEQunnfC3DW9gvBvwt9VxFBA7vHHH5eTTjopdr+cK9fgr9rAEm0slRhVPb+U9iScHVGPSAcMACyJx6oAWUCoaqV+hCV5+whX9awidIl80NQRahJwXn6IPW1JWyVV8yeHW/s1CxRxpKYFQhqDCfccSwr6y+YRvcJLwbhD1EZYnZ9+ZkxFVbqnvygk54v1U0891RkJ9NqHDBni+jEpZYJigkRK8LrvvvvyvuP66VffEIYBipUN4qAeCEUfKdrp38/sG8OHGopKgWtinFIEUld0AP7Pvcd3STn/VQltRsRAlvvHmI2F9xuGYRiGYWSE0GwEFd5hFYZ+rjEg7hF8hAAjrpnM41H0BT9igDxqDTlHZFBdH2FBwTSqYCu8x2PJi23x/CMqmOzff//9LkwbIwCCn4rY6r1F7FBsjTx/PsNbq2ubp6mAHYbccl0YHvD6YTjgXKhWjjjV7TF+4A1E3CFOEGmhgYH3XIsf/ktRQz0eYcbkWxOCzhJltB3X5S/RhwhE/Pph++S1++0GfMd+/O0Qe7wI3Wa//AYRiNhFfPltyDF5T3+piOfcOMckEON46GkH2pxCZQj2ENqSNvDD+zEY4PlP056IIMYXqRuEuxMRgkiNEv20A8fR/2McUs8/YdsYOLh+xjbfYwhQ6AfqS/AbtqFPENWkIijsm0gSjTiJgnNnPNM2frQJRfdIZaCPaF+8w4hMohqA9mfMYDzz8Q1B7JfrofAlY520DYxciHgfKsbjeY5KF9GlG/0cfs6ZiBDGF/caYp1+oQ1oK86dCB2g/zC0MT4wimDEw1jB/+l/og44J98zT8oF+yeiIA6MKRyDyCLOgzGFkYW+oN3CayQSiXbUc8IooH2FkUiNVmyHqGdcabQERkaeHRpSz7giNSlMY4mD8awFKvm/VuPnfDgefUzdCD7Tscx29BtpG7z0Mx2ftBlGp0IpHUZlGswKY8LKANU4uTkZSOHgq4tg9SSni2ITCy20UHWfjlGF8FDngUx+VqFQsCgGDRBZYvbKNkUzdUGRZn+INJoThZiZ/xom/56Hgka4juguMrmNSN9L5nw/s4FIwxKeHPx+FueQUOh3cD+R8zuJTOotMrNi6a5+F8/5/rKKJWZ/bSFy1pnpj92hocjE30QGVqTXrd1NpFMXkZ7TRO4psOxr13lERgTLQQ+fLtIvKNw7oYVIx9npkpGMbS6yVMUc+pbpIn2C309uVb5xeOcMkd4V9XjGNBdZvnIK3VyhtRfFObipSI/5Kn+/+SiRXR+c/X7LISKLe4WUD58mMjKif25eQGTHJtHHWrqhyFst8j9jZWP1jZzbVGTcMJH1Xp8zllpW9Ns7nUWGx9R16j9IpJ2X1vnsFiJbxac/lgz3/EK/V/78la4id3tRpTTpZy1F2lfUN1qkgciAiijX8R1Fhs4uAi8bNBZ5JOFP1d0zRHpVjJnRzUVWbFQ1z0MFgcNyWOQmhxXKjbkPE3z6VfPDEXhMzKnoXtNgCou4RfjEVUg35n6fsPQhef+FVvJCWPL8CA00tY1ixiFRCttvv72LVFAjFqtvaBSHURmMIkQ6YdwgCqc+MT3h72RaHVol4f2EuREGRI6LhggZhmEYhmEYNRuqoePdBaINyEEnQsAw0kC9AiJfiEApBF5jitLFLVlZVyH6gIgFPNwq+Ek1IE9dlz80KkOEFFE29U3w1+jwfvJMdBmSqEqZhmEYhmEYRs0DjxGhsxRmQ5zgfUwbzmsYhOpTrDINeCxJp/CXlqwPEBlFMU7fK0sKR//+/av1vGo61NxgVQ+jBub0k68SVSnTMAzDMAzDqHmQpxwuD2cYVUl9E3KkAVg6cHbq2zipMaKf8B0qZbJsB0uCsFwGIf2EplBVkjwVin0YhmEYhmEYhmEYhlGLRD/VKFkfk/U4O3bs6KqtIvYp/kLuF5UsqYZKZUZyVmoDXBOVNSnGwXVRl8AwDMMwDMMwDMMw6pXoP/TQQ12+zieffOLEcRxUGKTSK7lgLL1Qk2FNU5a7YdkXWH311V0Rwupag9IwDMMwDMMwDMMwykGm6v2si8makJdffnmi4AeWFKACJQKa0P9SoZgM65WSB8MaqyGsT8syDqQWbLbZZvLBBx+k3vf48ePzKkHy/xdeeKHkczYMwzAMwzAMwzCMWuPpX2yxxXLLuKSle/fuUiqI/P3220+WX355t6RFyOuvvy4HHXSQvPXWW7Lccsu59S232247l2qgS2GwzixraIY89thj7rtTTz3VGRbg/fffd8YDwzAMwzAMwzAMw6g3nn4g7x1P/5tvvunev/vuuzJgwACpSqZNmya33HKL9OjRI/J7agfsuOOOTvDDAQcc4AT+8OHDc9twvu+8806lF4YMohKuuOIKOeecc+TKK690y9TYqgOGYRiGYRiGUXUwX584caLUJ3777TdXEN1ID3XjJk2aVN2nUb9EPwX6Pv/8c1f4DoHcuXNn+fnnn6UqWWWVVWTZZZeN/f7ZZ5913np//cu11lpLnnnmmdTHaNOmjRP9xx9/vPz++++yww47lHzehmEYhmHUXVhre9ttt5WtttrKpRjutddeeSmIF110kUtzbNCggRx55JGx+9lwww3dmuWbb765fPjhh3nfUWCYtMO43yMeTjzxRFl33XXd79dff32Xiokzw+faa691Tg222XTTTd12/C5OfLz88stuW4o1L7roorL77rvniZYDDzzQHXPNNdd0xZ05z9Bhc9xxx7ljsR11kkaMGJG67UL23HNP145xzJw5013f0ksvXek7roFr8V8PPfRQ3jaczwYbbCAbb7yx67Nbb7017/szzzzTfe7vw2+TQtDOnBu/8+Gaad/w/IhiVZjP7rzzzrLlllu6fuvSpYu89957lY4xdepUV3srrp3CY/A6++yzM50vjBw50vWZ9i1z5+nTp0tWfvzxR7faV5gGTNuzdKTvvMvSFlH9TVqyH32MoYEo4Y022kjWWGMN2XvvvQsaHxjjtBdjnuvGyci9oFC8nDbTe/nrr792n++///4y77zzut9xTQjYnXbaydVHK4Y///zTnQdRyVtssYV7flCLjHuea3j++efzxpR/TvqM0HuA/zNeGNvXXXdd3nG4XzkG23Jf0FcvvvhipnM94YQT3P6T7u200I6sGmfMpUJ+K664ohP8wOAgbz/pIVzVTJ482T3kWD3Ah8GuhfnSwI3KHx/+aBC5kLR+5owZM9xL4fjAb3kZdRf6l4d+8f2c2c5Wr5k1i3bm+VK+Z8wsmZW3P47hunNW4ePw25kz8ye2s+e5+f06e3zE97V7VlQcambs78szDv3zm+Udd+7TsHKbx3zvtnHPU+99TP+E2+Xvy++vOZ/pfgr1U80nfyzPud7K15r3q1mVx3H+9+nGTOnPw/z96Ks2waSfiTMphVwHEYmIECIJmeQz4cUpwfekHuJcWHjhhfP2MWbMGBeNSOThqFGj3Gd+O1Bj6IcffpB7773XTernmWeevN8fffTR7nsm4xyT31JImahMvtPJO8KcNEjmR8CxOK9jjz1WmjZtWunaEENsg6hANNx0002580Lwt23bVl577TUnQBDbFHmmeLOCIOa3WiPp9NNPdxN2FV6F2s7nkUcecQ6esG3890OHDpVPP/1UmjdvXmkbBI22bdRvWXVK00QxTkyYMMEJQfqKuaFue+mll1YSwWnH7GmnnZYTiP5v+D/XTfvGnV/Pnj3lpJNOksMPP9y9JyUVkTdu3LjceKIoNd+zqlbSeSW1Q5rzRagikO+77z4nvpkP0yacE0autLBPHIkYs0jf5T1iuFu3bs4RN2XKlMhnQpq2iOpvjBSctz6zEN309UsvveR0TK9evWSPPfZIFLUUJue6uWdZlvyQQw5x98KDDz7o9nvVVVc54xD3m38vt2vXTo444gh3T6pmuuCCC1zK9KuvvipNmjRJ3W7cbxg8uD+fe+45V+sMHnjgAdlnn32cI5b+8MdUeE4IcO432mDVVVeVDh065Ma2tjcGO+qjYeChPwDjCr/h+YIALwT3shr6Sn2+c5033HCDe6ZgEMMoVJ+YVdF+UVoz7d/gzKL/p59+cjciVjQG8MUXX+wGXXXB4IfwDwTv9bs0cNOlZdCgQe6PZwhhJ8VYOo3aAzcWfwS58Ygoyc7syZaRjilTmHC0KOs+Z9cFmfPo+33aNJk48U+Z3qi5SKP5E3/L5GbiH1PyPvu94fwijZvnfTbp50kiTfINkaGxcn75L/b3hbwNWcbh1IbziTRukTtu84rjznWazBn7RFNN/O2v2O9h8i8/S+O/5/whi+sf2mHirBmR+6KvJ078Oe8zN+doMMcTKRJv4K3pzP5D3yj3nmubNGli7lrD7xUm1hMn/pJ6zEyMGTOlPw/nnA/7Isw3qvZOTYYJMJ5qPW8cCKQj4nTAg6bjkAk4E+4hQ4bIGWecUUlI4MVGEEdd/2233eaMB4iERx99VLp27Zr3PYKDOUmjRo1yv0fIMzfT9wgCvIFM3vUzPHikRkJSu+tEU7dh4o9Ipv4RnyFYEG4YNHr37u3Og/PUJZz1dyyF/O233+bep2k79TifcsopLiqBf/1z5dxo3++++84JArzcGEfC62G7pGskchXhSJoo2y211FLOq0mbI7CANuBYxYxRBDnXRd/h/fX3wf/99o0CDzFGCd0GYw7C68knn8zV2mLOSz8/9dRTbkWqqP0Vaoc050taL+2AQORz+hsBynGZH6eFc8e4guFA9//XX385IU2kCpEpUe2Spi1wSvq/wyBAMXL6mM8xViEcMaJprTDG7mqrrea85Hi1Q9iO8YCAxvDGfvr06eMMDLSXrvilAozvaW/EMwYx7nO/Lhm/a9WqlfP8c81pwRjDXITUZj0O0FcYLjg+UQ281+/8cwLOB2OF/8z1xzZtiVP3s88+c3pPP19ppZVk8ODBzmBA0XQ1IEbBMWlTjDK0Uzme7xyP6BKMS3ERKnWVfyueE/xNDg2/zKmqRPRjgWNwY2mBfv36Vau1Ra3Tvudd30dZrssBkQC+NRtPP6F3WBiTIgSM2g83HFZa+rqUSa6RjhYtmku5k4eYoPgsuMAC0rbtAjLfHw1E/kn+LcbEtq3a5v+eR0+gXxdus7DI7ACgSFq3bi1tG8X/Hg9aucbhQtQn/bPycec6nq2EAqtt510w9nto3aqNtPXsPXH9g1evbegkmTKnr9u2bJv3mR+YxsSnNhP2Pde28MJtRSqiTePGBhOGcBwXM2bK9TzEWM6kBU+Oeq1qCwhMn2bNmuUmaHotjEMm90zsETInn3yy8xIC6ZIIA8Qmoj+8fgwio0ePdh4zQp4JQd91113ztkF0Y1Bgwq/PN+4x9YwDob04N2hnf87GykeFoI/pXz03PPfcOyuvvHJuGzz9OD5ITcBDjiECIeh7MBknfpRDmrYDDBpcG9cAUWMEowgiSB044TZcQ9LY+uabb9z5+tsQeUEkAr+lXWkD/s06RrlPED3XXHONE37hufB/v32juOuuu/Le67PLbyvOH/RejNpfoXZIc76Iff5G3Xnnnc75R60vRCLtlaVtMFCgJXwBwxwaY4sS1S5p2kJrfPmGM0SuOggxEsHiiy+e+42u4sX9FpXSgJGLMU5Yv/4GLznjFkMBqchci7Y//x522GHOgBQa+hQMStyDtGMauEaMW+iQUPjpfYBjlpRoPy06HBMY/9TQ4D+n9P/0PW1A+4Tstttu7re33367i7iIAwMnhkUMKXoc3T+GAPqECCL6+4knnnAGwcsuu8wdEyMOxiWibNiPD4ZCDIxsU59oXPGc4G+yPguV8H0cmf9KE4algl+JslARxjY34OKZ9BGBEOYJEa5SFfDQ4MHkv4DOsFfdf+kEqJiXkY0GDWiz8sajNwj2xzFc36RIU+K3lcdD5X4t1Nd5+4j5fbnGoX9+Darxvolq86R7I4IyfSsAAQAASURBVDzXuDSyqGvyeyzqs7T9VPMJ22T29cZ/X/FpgbGTZcyU8jwM9+O/OPd//66el7vTGxT3QnQifvAU5l+PuLxncpeZH+nnTHIRWLpNuD+8p0xyEc+E7iJC8ej62yAYEA7UWGJ/CNhwP3jAmVSToolgwHmT9pr8ccPriy++cCmV/jaEL2vYMO8JC8bQwVLLeOYQEJwbBo4sbYexA48zkQRRbQREFTAhRjzEtSNzQrzAeCfVi+yfC+IjbDc8wziQ8KzpZ4RLMwfmHLXGVaH2I4rAFz9R5/fxxx/LLrvs4tqK68AgUmicYTgiWiKuz+I+Z7zRH7QFY4GIpyznS99r1Aph+YhlxiTe16z3CqkISeMu7X6S2gIjBgIV77R+RgFv8Puc/laDQNR+GPfqbdbPeHbRHnznnzNec4wMeMaJDIg7d4Q5xr60bUZqBY5G9hv1PX2BISJre4bfEQlB5ELUthgbMKqQChO3P9ryxhtvdMaOqP2fe+657v5hH9TRYDxhQOA59fTTTzvjJu3CPki3CNuMduBZmmW8Nagjr1L0Rckm9a+++spZYzTET8HiWo7l+tKApYyBo3AeY8eOdWFghmEYhmHULv79W+TaE6rn2EcOFpknP2MwFQhEhA+55VFeOIQlOcPkziLUmTcRdkyIse+V90GsEBYPLF2M5xUPqZ9PS5ir5uQShUgEJoYC3uN9BIQu3siBAwe6cyRMGeHA5DuMHCgEAi8qpVK/Aybkw4YNk6uvvtodixBxhDL5xhwzTdsh1gj5R6DHTWoRrIQ7YxxJAqGAZxCRSUg5Yd78qznopEMgGhEYCG/mlHivQUOyWdUJJxNChPOh3SkajYEjyiMKGFpoh6QUUrx0jA3yvRGQHJvzI82L8OgQ5rj0I+2oudZpIaScQtUci7bDkMTYwLuNpzfN+dKXeGCp0aCefkLBs54LzjoMQ6WQpi3oR9oXg5ef308KCWOCVAiunX0w9qKWBs+aToyR6Y477nBh9kkQOk/0DWkNGv2ThNZYqOooNaIFko7Bd2HxRR+eWaR6FIq4Zrxzv2mkCmMCI4A6dXlGYaDEQOW3WbnGT32jJDcHD3IeoISvcPNj0dFXOao0pgVLMpbe8ePHu/eEjHADk/NjGIZhGIZR1eCNRkQR/hoHgpxic3jsCaFNquhPLjshxToJpiAg4hVDQAheMxwweMAQwRQGZDKNl1pBdBNGiyDh2IgbzjVrXSYm8lEplfodMAfD+4/nTgUzBdjwDkcV84pqO4whnLPvcQ7hWhGeGmkQB4UAtcAd/xIGjVEEsQXUXKBAG2HDiA9EMfvGs6Yig6hWojU0zJbvEewUb1Nnl1ZH19xyjAmFxA+eY0LltSA1hgTm1XHhy3iOaU/OJStEW2hhQoQbhbnx6uoYSHO+GJ4QqBqSjvAiQkPz5dOCgC01nSdNW5AzHy75Tb8+9thjzjNOf9EmjAFC8eNSlrOkE2MEYjxgVKL2WRxq4EoS0D46Fqt6uT+Ok3QMDEZxgptnG/2aZhU0/77VNvQ/I3XCXx2hmDYz5lDS3UZeCRbOFVZYITINoFz8/fff7obE8gQ8TLlRsc4B+TXc1HzOg4iHMZY9ctoMwzAMw6hdNG4y2+NeXccuxvnApBXRmATzFYQsThOgcngc5MXjBfTzi8nxx6uNx1w9m4h4LahFuDU58BTx4ljsH08+2zORZzJOXj0im+r5RAgwSddidWngN1Eplfod4OEMvZ8IKsQC5+Ln9se1HdfJxF6vX4/BewQrQp6wYDzjVBgHHE5sxzYYSPBaR4Hwx+hBtKp6gCkox0uhYBnXEyeAMWzgQSZiQK+Dl0LfkZ6A8NOIAsL4qWGhS6DhpY47P0KkQw8wxho8n3q9paKGEK4Bz3ea88VoFS6LSLg826IJSDNJA+OR8VwsadqC8cMSf1HjAHFPKoOCMYrIEsLjo9Cxzdj3Pfi8j0on7t+/v6sBQAFKxntU9LNef1qPNWOVaBNqZxCZUlXw7KAQZxQYdnCyxkVz44TlPtT71tduGMm4bzWKIKyxFPVZaCTM2mZGmUQ/RVyiBH9UoY1SIJeNsLQksA4nWdcNwzAMw6gdkAZaTIh9dYBHj9xgKs+DphvisY3z9jNfQVQmeToJD0b4IuQVBBfzLnJeESiAYEdsae4s6NxMJ9d4tvG0+1Xx8aLhkcwaKkzqAGkEnIueG5EFFHdTrzzhuITB+yCOENCE7aZpO8RDlMfWnw8iUrWAG9eP55ft/G1IncBr6Qt6zdtW8YbAxiDhtzWh/qyqoFCFnQgAH36n4ckhOJ7I+Q8jMhBE/vkRuYH4phiif34IRV/wMx7I9Uc0cb3smxce9jSQLkAYvp/6qgXt8JanPV/GDEvW+bBkJGQpoI2hitSAYkjbFkRQYACLKrLNNfkGNQwIGILiPNSMbfqEMar3NsKYsRXXBxhPiLYh4oVxr6tlKFw/55a2EBuCmKKW3P8YFUIwBHDv82wpBVZEIBWJMRMWFqbNuXfiRD/pOGE7UweDvgiNRcWgYyZcqt2o4vB+woCwtPHQCy0xrM9qGIZhGIZRV2EORFV9clipJYT41eXs4kB8sqSYrjMeN7Hl5YtQ4D35yH6IPx51wrR1Hsa/hHHjWfdFPttoODvgAcU7m3W+hvhBXGjYMvskdx8Rorn3RBIQlksUAVB8DCMAgkW3KabtigGjAuJLIw9oV8Q7okUNHhQNI39elzajbViaEC+twrXo9QDeYzy5WZZbiwLjCSHzGhpPzjyRtGrUUaFFFAGCnToQtBUFz15++eXUx+H6OY6m3yJwia7Ae5wl0gNDAJ5mwuO1/2lPhLBGDrDUG8IwSdSTRqFpuVnI0hZRof2+sMWwA0QzUNSQ9GT1IGMQIapYjU8Ibo5LOofeR9wD3AtaOyOENmCcYEjYa6+93Djz4fopmuh7sfkN90McGLYwrlD4TscM9zzpMBj//DFbLBSTxEhI7RA/RYh7k1QK2tU33s1NaDOcztW5cly99PRjFWTwRxUaMQzDMAzDqKsQvq1CUfPuFaq8A+KeeRIh54hrQpERvb7gR9whoDQsHU/Z3nvv7SbbFBfzPbO8x9HCi22JBEAEkO5IBX88hog7BD9pjipqEaZ4efFK8xlpk3hIKQrIuueFCENuWYEA0YR3mn3hFfTzqvEOcm58Ro44bYTXnOUK07adD9fqh/eTf+2H0vMdhQ798H7EKS8iExBReBtpHzz6eFzJyVcIz8YwgUGDtAmEH3nuvrCh7TGmIJy5Zgq4YRzwC8TFQUQCVfP9cHnOn+ugrzFKIP7IV8ZzTLv57YlwJS0iFOf+UnAYCzBk+O1EqDpiUD3rRJnQTpw7x6EKO+Mk9DQnnS9inbFGGgl1B2hPRC9RG2rQ4Xd4dZNCsBkz1AVgDPiFGrkfMCoA+0RgUqtLiyWmaQs9B4wyUcvvaRoy+2K/nAPh54xpBaMI4t5PQaBPuF5d3pH281cr49wff/zx3BjkO6IoiH7meIh/iilybxDFzPjxjRKcMxE4cVHUQN9h5MCIR0QNY4a6AghhltMMPeD0I/e5nhNGCF3ODyOW1o5gO85fazUwzjHK8dzSFQlILcBj70elJEGbck36f4yQ3EPar4T+M2YZW2o8YzsMhGzDOOSeZnzq/U6b+RE4RnoazIqqqJISHiYsMcLg90N62CU3BqEy9QH+UHAjYNWOCiEy6g78YdBwp2KW+xo0QGSJ2dF0RTN1QZFmf4g0mu2QKIr/Gib/noeCBoqO6C4yuY1I30vmfD+zgUjDop8cs38/i3OILpLrGNxP5PxOIpN6i8ysqA3Uz6uHc1mf2f/+2kLkrDPTH7tDQ5GJv4kMrJjvrd1NpFMXkZ7TRO5hffIEus4jMiIoFTJ8uki//NRVmdBCpGOw7rzP2OYiS1XMoW+ZLtIn+P3kVuUbh3fOEOldUY9nTHOR5WPWXK9qWnsOn8FNRXrMV/n7zUeJ7Prg7PdbDhFZfHbNIsfh00RGRvTPzQuI7Ngk+lhLNxR5q0X+ZwTLqq/z3KYi44aJrPf6nLHUsqLf3uksMjzaQST9B4m081Kan91CZKtRUmVwzy/0e+XPX+kqcrcXVUqTftZSpH1FfaNFGogMOG72/8d3FBk6uwi8bNBY5JGEP1V3zxDpVTFmRjcXWbFR1TwPFUQFS16RF5w2zNWoOhA59KuKLAoIUlepJq6LzXzTD+83qh8EKAYWihEWioKg3gQecH81itpIMeOQyASMMKycwO/YB21BxXpWhjAqQwoHUQhEd9S3um3TE/5OptWhJXn6Ca2IK0KChcgwDMMwDMOoPRDWzBrjFAEk2oC85bi5nmGEMGbw3qZJeyCNgWgMvN94qusLGNVIrSACQOt6EHlB1EsxqzLUB4iuIRKBSIP6JvjLRUmif8MNN8xZHUIIF8LSZxiGYRiGYdQO8BgRMqyh+xTtI6zbMNLA8n3kg6eB9AlWqQiXZavrEB1N/QpC/BXSbvD8G9EQTUYBQ4uoribRT7VOlnVYY4013LqKfs4Xa8GSj2EYhmEYhmHUDoji1HXbDWNuiLn6VpQt64oZhriICBP81Sj6KUTBUhhKCeUBDMMwDMMwDMMwDMOoSaIfwU812CgsJ8UwDMMwDMMwDMMwqpfiy+2KxAp+uPTSS0vZtWEYhmEYhmEYhmEY1Sn6KdbH+o1Dhw7NfXb11Ve7tU9Zz9EwDMMwDMMwDMMwjFoq+i+88EK3fqu/vubee+/t1qrs06diEW3DMAzDMAzDMAzDMGqf6P/nn3/k5JNPzqu6yfIbgwYNknfffbcc52cYhmEYhmEYRh0ERyHr1tcnWKLwjz/+qO7TMGoAaOlJkybVfNE/bdq0or4zDMMwDMOo7bBu9LbbbitbbbWVrLPOOrLXXnvJl19+mfv+oosuktVXX10aNGggRx55ZOx+NtxwQ5lvvvlk8803lw8//DDvO1ZGat++fezvEQ8nnniiW0KZ36+//vqyzTbbyBVXXJG33bXXXivrrbee22bTTTd12/G7OPHx8ssvu21btGghiy66qEvn9EXLgQce6I655ppryllnnVVpBSfmgccdd5w7Ftt16tRJRowYkbrtQvbcc0/XjnHMnDnTXd/SSy9d6TuugWvxXw899FDeNpzPBhtsIBtvvLHrs1tvvTXv+zPPPNN97u/Db5NC0M6cG7/z4Zpp3/D8Xn/99dw2zzzzjOy8886y5ZZbun7r0qWLvPfee5WOMXXqVDn00ENj2yk8Bq+zzz470/nCyJEjXZ9p31K8e/r06ZKVH3/8Ubbffnv59ddf8z6n7XEoDh8+vNJv0rRFVH8vscQS0r1799w2GBoOOugg2WijjdzS40QqFzI+MMZpL8Y8133AAQe4e0E56qijXJvpvfz111+7z4mInnfeed3vuCaE3k477SSffPJJpvZ6+umn3X7pX+6nuFXTcMiyDe1z++23y9yiR48ebiwffPDB7v0LL7zgzoFzSbq3y0FU23OP6/FXX311ue666xL3wbN33333deOaF88TxszDDz/s0tar6noYH6+88orU6Or9yy23nGvkk046KfeQ/eqrr+Tiiy+WZZddtlznaBiGYRiGUeNg0s+EcLvttnOik8kuIoRoRyb5iGrEEeL25ptvloEDB8rCCy+ct48xY8bIm2++KYsttpg8//zzlY7x4osvyg8//CD33nuvq6E0zzzz5H1/9NFHu+9feukld0yEwHnnnSeXX365HHPMMW4bxDbCfOzYsW5SDqNGjXLnhTBv1qxZpeMifjkfJtDM8XwBhuBfZJFFnDD9888/nQBacMEFpW/fvrltEMQIM84DTj/9dHetCK00befzyCOPyLPPPpvYF1deeaV8+umn0rx580rfMeGPaluF8+C8aB/E1IQJE9xv2rZt69pIueyyyyJFcBq4fl8g+nDdUQJX6dmzp/Tv318OP/xw9/7UU0+VrbfeWj744IPceHr77bflsMMOk44dOyaeR1I7pDlfhCoCGeGP+J4xY4Zsttlmrp4XRq60ME7pc65thRVWcJ8hhvfbbz93TVOmTCm6LaL6m3TkffbZx/2f8Ybopq8xbiHievXqJXvssYe7j5KKlN93333y6quvyvzzzy+HHHKIuxcefPBB9/1VV13l7jP60j8+9zZGO+4FNciQIo3AfO2116RJkyap2gxjHi+2//jjj919wXWExpobb7zR/f/OO++MNIJVFTfddFNO8APjgnNYZpllqvzYtD2GOb/tl1xySVlttdXc8S8rcO8i6OkPzpfz1rbk+co4/+KLL6rkenie01+c2xtvvJEXPV+jPP1YkXk484BhAPLq0KGDe/D4xf0MwzAMwzDqGrvssosTrdCwYUM59thjnShCPPrssMMO0rhx48i5EUICERUHnjpEzi+//CJPPPFEpe8RHExKVSgjKhDfSy21VN42iHgV/LDFFls4wcB5ZQGvKiL5hBNOcO+bNm3qHEDnn39+rogzYuSjjz5yTiEFb3Dv3r0ztx0T71NOOUX+97//xZ7Td999JzfccIMcccQRUgwYDBD3iEBgXrvjjjvKBRdcIOWAeTETevqpGBCsePAV6mYREozXW0F8P/roo26sVeX5jhs3zvUzQhsYd3hFn3rqqczFwD///PO8aAlEP31IUfBS2gLxGZ7z999/74wrgLGKFwYvFeH8HwNAnOjnmhnjjHUEP3APcC+8//77sYYNxnyjRo1kyJAheREYXAcp0RgDs4IRgft58ODBlb7j2n1DlVGYGTNmOG87z1kV/IAxlOgAjH9VCVEoiH6c5lVJSaKfRhg9erS70S655BL3whLLDVPVDWQYhmEYhlGd3HPPPXnvCS3VSWQYboxQwRv1119/5T5H9CAm4qIjEUHMqfBgLb744pGhujhcmIf5qyYhSnzPONsgcsIwary1viEgDex3gQUWyHlngWgGhJeGWbNfwqYR8woerFVXXTVz2+FBxgtLZEEcCDYEmYqxrBAKHO6/Xbt2bo5b6mpUeJURfhgWktITksC76LdlVFsRdpy1L4s530022cTN8TX9AWPUY489ltg/UeAxx/DkHwMDUiHBmqYtQk8skS6EaSO+QcPu/XOmvzWyJgrGNmMcsa5gJEIY+gYHvx2552krxmYURMIQwVMM/fr1c+dKlJB/zDvuuCOvwLry3HPPufZGXJLGgkc+jKYgHJ77mrD2XXfdVc4444xcuLymbfMcwchDShKvc845J/M9wvNM05F4dgwbNiz3HYYXDaG/6667ZLfddnPtTARI+GwoFw899JAzHHKMKE88fRRGaKW9HvqCa1lppZXc9QDGUAw+GG7KMRaqTPRz8rfddptMnjw59xmDiPAHXsWGPRmGYRiGYQCpqv/MqJ5XTJpsKghfxwuH4A3BI4no9vPa8fInrXaEN5ScdyaehCYzOQ1z8PGM3n///S6Mlf2poPFBfHz77bduQo/HPPSmZwFDRSjwVGwSAque1VatWjnPGSIR7xnnhijJ0nZ4nBEZSR58ogqIVlAvblzuOO2HWMFDfc011+SdCyHQYbshAhAZP//8c+4zDcPlHEkHIA2gEER30Aa+wSOEUG286mzHdYQGkai2wsDRtWtXyQoGEvqDtmAs/P7775nOFxFLagih6qT54qUkxSNLaL9eA9HBpVKoLRCk6BY/7FxD3v0+p7+B+yRu3IM/9hFzvNdx7x+T9BXEKsI5DiJKis3lZrzQ/r63n+cA4ydMjwEMM9TFIPSdY/JM8dNxSM+mrgapQaQcIFwx7HBv8xsMfRg9MMoMGDDA7YMaAxyTVIUs3HLLLS76iP0SnUIqiRpbEMIYdjTknv3zvML4WVX1CV577TVnlIwzXHE/RKVApbkexh7XhKjX9JJzzz3XGab8qBLGApFOGNFqTE4/1iEugNyUVVZZxYURUYQDy4ZhGIZhGEap/Pu3yLDjq+fYh10qMk/lOXNBEIgIn6i8exUa5AwjfhGx5EsjjkmVjMtXZ5Krefl4oYiofOCBB/I8eRQWQzyxXybxeAAxFPCeeRqQB8yElJoCnCNh63iemHzi0csCAi8UFfqe7wDjBqKBMG2Ohbhi4ouA5php2g5RTig1BQh9z64P3kciAQqFlhNJgZhhYo1QR/jzrwpVUgtIdWCijhh+6623nMEF1ItJfjD1AhD+nA/tvtZaa7lccqIwokBA0g7kgMeBJ5WxgYhGdHBszo+icn46hB8yTj/Sjm3atJEskOvOvJ1j0XaIEMYGEQ14wdOcL32J8EPYMI4RKddff33mc/npp5+cYagU0rQF/Uj7rrjiirnP0Cx4kxkTGFi4dvbB2IvzWuvYjhr7+p1vZMLjjkEkCSKAMLoQ/ZM1SoUxSMoMzwcEO+k8RBLhTea5EkIqguaLY6zAAOAbQrjPEPg8o4D27NatmxO0Cvcn14TuA4QwzyLy5TEEpIWoA42swIiEEerxxx93956Pet5pGzzp77zzjlQFv/32mzNqFEuh66HAIe1P+D7jhZQQ0of8KBfGQrnui7J5+vHmYy3iwY31in8ZFAwUrJ5YZ8LwMcMwDMMwjLoMzhBEFOGocSDIKTaHxx5vc1JFfzz65ArjbAHCihGvUd4uJu/UWMJThAgm5JcJpx+VieimJgCChGMjbjhXJqxZIAQ7DLPV93wHiCgmwZp7jWCmABt5zVEVx6PaDmMI50wEQxxcK8JTJ9xJ0QBa4I5/mYBjFNFUC7yjhJsTqowXH1HMvpmU62Scom2ILKIKEFx8j2BHaAEh3FopnoJgakxgGWttlyiYPzN3Vi8jhgQK8iFI40KJaU/OJSuIMw2fR+TgocXLqWMgzflieEKEafQFAoUIDQwVLL+XRWhlrSdRTFtQ2A3R5UO/omVYFYP+ok0YAwjnuEJq2iZRYz9sL4xAjAeMSkl52mrgKlY3obsYn4xlIh7w/McZP/7++29nRCIkn2smCodngUINjjDygrb1wZhA0VB/VQSMG1wHqUhp4blGPQ/ub/ZB5Ih/LgrjSqFQKKtTVAUtWrQoaQnFQtdDzRban6gFINrLN7iUYyykoei7jQcdlh619vBHDKsGBSR4WHXu3NlZEzEIzI2qjYZhGIZh1A0aN5ntca+uY2eFMGkm/ojGJPBWMTHUAnFJlcIJF8UL6KdNMrHGq43DRSf3TC41vH755Zd31cMJdeZY7B9PPtszsUVkkZuKyCb8mEk+BghCT9PCb/BG+egEV0WDhnz7IKjwLnMufn5sXNtxnUyA9fr1GLxHsCLkmVzjGaeGALCMFtuxDQYSP7fWB+GP0QMPqXqACZf2C9cRNs31xAlgDBt4kDXEn+vwiw3Sd3gmEX4aUUAYP0vbcX6MA7zUcedH4bnQA4yxhpQHvd5SUUMI14DnO835Mt8PK8Izz2dboh6Y/6eB8ZhFKIakaQvGD/n2UeMAcU/dAgVjFJElcWkNOrYZ+74Hn/dRaQqIasLhWcGD8e4vF6jo9Rfr2WVsUu8CYw7trytlRIFeY6xzz+BtJvKH9Owkomo6ED2UdgWIKDAyUcSTiASiDQABHGUM1BoMei5xSxSWynrrrefud/oya22KNNfD84rv0Mi0Oc/GUBuXOhaqvJCfD39oyBMijIZBzoOP/Jio4haGYRiGYRhxMNckxL46XllrreHR++abb3KV+RGhvJK8/YRPMwlM8nTiQUP4MsHWF+/xprKmvIJgDyfDWmRPQ1bxbPsFvzQ0F49k1rBWUgcQ74g/hX0T1qpeecJb8Qj6MKFGpFDAKk3bkRtL3rBeuwpq/o/gB0QqXmqEDJ8z2dYcZBV6pE5g2PBhfoqIUPGGwPavBwj110k8MMcN4XehN9T3TJIH7vcf3mRdTk4FP5EbCIfw/BCKvuBnPFDoi75n3LDvLHNs0gXC1ArNY+ca0p4vYybsW32fFCEQQj8Vm7+cti2IoMAAttBCC1X6LhSuGBAwBMWtfsDYpk/8exvvOB5iXckgBOMJ3ngiXhjPIVw/56bFCIuBCGwEI55iv7imDxE/rEGPAVDTE/A8+1B/QOsWKGGdCwT/+PHj8+phMK44h7ToEomaRhB1LnObnXfe2RkltdBeOLZps7gVGtJeD9EmjFEieFjmMUTvhaxGh2oR/UDYBaELDBpyowh50nU0DcMwDMMw6hJ4Gyl2RV4txaYQv0lLeOkEk2WgkuZHTAB54VDx4T35yH6IP14jwrRV+PMvnj8msXhvFbbxVw5gAop30F8yLQ2IH+Z4GrbMPsndx7OpufdEEhC+rWKb+SG58HgldZti2q4YMCogvjTygHbFI4rnVQ0eGBcIfVYxQ9tQrR0vrcK1+MYDjAo4uQj7LwWMDYTMa2g8QovlB/E6Kxg5MHqwdCEh1rQVRdQQHGnh+jkO0RCAwCW6Au9vlkgPDCsISMLjtf9pT9ISNHLgs88+c0IoSdSTRoGAzEqWtogK7VcQqlpsjWgGctJJW1ZPKwYRwv9VrON15rj+ChzcA9wLWjsjhDZgnGBIoEheWLSP66dInIJ45zdZCm0iEqlLkFRIkWtiOz+VJ4yQ4J4lSoY0FzUUhNvQZhg51KDGs4YxlFTZPoRaIow9ivTpcfT/1UWTJk2cgYhnpB99xfjlOYHRJi4CJO31kG5FhAxj0jcm+mNh5ZVXjk0vqXbRf/LJJ7uOZi1PHib8IcJ6QZhEMetOGoZhGIZh1AYI30YoEtJM3j1zIF6E1yuIe6rzk0uv4hrRi+BX7yPijomghqWTl08IKKHnoWeW93iXEQ9si0eJvGbEC+fAZ8zBEM5EXqqoRZji2Wfiyb4RXEzWKQq45pprFrxWP8wWmOMx+edY5Ajj5fLzqvH6E5WAEOG8KBbHRFfz1NO0nQ/Xpcue+f9XtO38duT/GpmwxhpruOsmAoFzoYiW5uID4dkYJjBo8Fu+QyD5UQm0PcYUvueaKWqNccAvEBcHEQn8jnHg/1/zffGQI/7oH+oa0Jannnpq7vcIV4wBiHNtK2ok+PB92E5aBFI960SZUByN7zAIMX4YJ6GnOel8GTs4+OgrQv7pP8QMY0kNOhiT+CwpVJkxQxuHKzpwP2hKh9ZJ0IiEtG2h54BRJm5VMXKw2Zeu6IB4x3ClIOQQ934KAv3CfUwbkD7D977eCe9lzpN7Bw8y54n41/sWGD++AOScuU/jPPasZMHv/f0D567jUJ85QG0J+gpDApER9CXpF4SjI3SB/dBOGAkxHqDtGBvcnxTp84uSovkwsFDcj+cGbUeEiI5V2pNxwgsjAuJX61vwL3UHSDPAuIKY5t4kgoZz5zeMT87R/w0GJgwyul+2iSKq7THS6b769Onj2iYOrpn+0NUr2AfPCdpWI5GKuR6FPmAbvd9DwrFQFTSYVUKCBA89GpS8Mip3YnWjc7BWMqDCcKW6Cn8oqOiKVTsqhMioO/DHiVAmJjRx1YSTGDRAZIk5f7uKYuqCIs3+EGkUv/JRQf5rmPx7Hgoa4Tqiu8jkNiJ9L5nz/cwGIg1LSK3i97M4h4SlXQf3Ezm/k8ik3iIzK2oD9fPq4VxWscrVry1Ezjoz/bE7NBSZ+JvIwNNmv1+7m0inLiI9p4ncUyDCrOs8IiMWzP9s+HSRfvmpqzKhhUjH/OVv8xjbXGSpijn0LdNF+gS/n9yqfOPwzhkivSvq04xpLrJ8/tx9rtHac/gMbirSY77K328+SmTXB2e/33KIyOKz62c5Dp8mMjKif25eQGTHJtHHWrqhyFst8j8jWFZ9nec2FRk3TGS91+eMpZYV/fZOZ5Hh0Q4i6T9IpJ2X0vzsFiJbjZIqg3t+ofxVtRyvdBW524sqpUk/aynSvqIO0CINRAZURCSP7ygytGL+v0FjkUcS/lTdPUOkV8WYGd1cZMVGVfM8VPCyseQVOY6lhLka5QGRQ79qRXoKCFLoLK6wXHXCFJY5JyHeUfnHxtyHwnYYWKjvVSgKgnBzPOBR68rXJooZh0QmIApZOYHfsQ/aAs8xK0PMbTg+nm3f0MU9T+oMQt8oHYpfEimDfvYhQh7jAVErGFGy/p1Mq0NL8vSTa6SFZAiLwMLDe6yJWfJ6DMMwDMMwjOoHr6p6swhVJW85XErLMOJgzODRTJP2QBoD+oGIj/oERjUibYgA0LoeRM4QNUHkTnXA8fFwa+rClClTXDQLBT+N4qF2BJFZtCfpKKHgJ+qDKAXugzjBXy5KWiuD8CzCz7BQEPKg4Q9Yu0pZ+sAwDMMwDMOY++AxIqSX0H0mpH379nUF3QwjDSyzFhVuHwVeZVapwENZn8AxSv0KDbEHUnHiQtfnBhSrw+hAygbiE/FPtEbUqgNGehjbiHqWFaVmQAhRchSknBuR4iWJfvIjWBKFED9y+an8SEVaCp/EFTwwDMMwDMMwaiYUkvILfhlGVYLoqcriZTWRrCtmzA0w9BF5YZQX0t15xUGkx9xKDS9J9Hfr1s0VOiBMhSU9dNkPlvVIU9jEMAzDMAzDMAzDMIwaJPop7EL1SV5UQCWMh5cSvjcMwzAMwzAMwzAMo3rIXMiPpT2WW245GTJkiCvYx5IZLMlS34pwGIZhGIZhGIZhGEadE/2rrLKKnHTSSW4Jhx9++EGOPvpot6Ys612yxiPFO1jGzwr5GYZhGIZhGIZhGEb1UtKSfVR33H333WXYsGHy7bffOrGP8B88eLAsssgiLvwf44BhGIZhGIZhGIZhGHOfkgr5hXTu3Nm9BgwYIOeee65LA/jnn3/KeQjDMAzDMAzDMAzDMKpD9MN///3n8v7x/n/xxRfl3r1hGIZhGIZhGHWcWbNmuVTi+lQgHGfplClTZOGFF5a6znfffecKxBu1ILzf5+WXX5ajjjpK2rVrJ127dpWvv/66XLs2DMMwDMOocdx9992y7bbbylZbbSXrrLOO7LXXXvLll1/mvqfQMUsaN2jQQI488sjY/Wy44YYy33zzuWWQP/zww0rCp3379rG/p4bSiSeeKOuuu677/frrr+/SK6+44oq87a699lpZb7313Dabbrqp247fxdVgYl7Hti1atHCFm0nn9HnjjTdkpZVWkoMPPjhWvJx55pmyySabyEYbbSTLLrusXHjhhbnvX3zxRbdPjsE2q666qlx++eW57//991/nQNpiiy1c0ei11lpLDjvsMPn5559z2/zyyy9y9tlnu9+znzXWWEPOO+8891uf5557zl0z26222mpy8cUXVzrfmTNnyiWXXCLzzz+/PP/885HX9Pfff8v//vc/t7a238+lUKgd05w7fUV/brbZZu7fl156KfZ4J5xwghuPSee/5557um2irv+4446Ttdde2/XHscce6z5T6G/GO32hr4033tjt6/PPP5csMC533XVXGT9+fN7nOBaXWGIJd6yottx3331zx6XNXnjhhbxtWFLcPz9ejE3aWPn999/ddW6wwQbuvqJu2YQJEwqeM/cY7cJ433HHHZ2oVRinHJu24Jivv/66+7xfv37SvHlzNwbOP/9899n+++8vr7zySqb2QnexX54jSy+9tNNk8P7777so7KZNm7rvf/zxRykF2pMxVmgMpTk3ngGHHHKIu/eMGuTpp2N5gBOyr7z33nty++23y5133inffPONewgyUA844AA566yzquqcDcMwDMMwqh3mOw8//LATBUxcEW5dunSRd999V+add14nqjEGYBi4+eabZeDAgZU8eGPGjJE333zTeTOjxCYTY7yd9957rwwdOlTmmWeevO8pqMz3CD2OiZEA4YuAPuaYY9w2I0aMcPOysWPHOgEP1FzivBA3zZo1q3RcRBPnw2Sdifrw4cNz311wwQXy9NNPRwpDhYk980LOn+1uvPFGZyShGDQwf0Qgnn766e49bbbmmmtKx44dnfMIccL5v/baa07szpgxwy0XjSDVdnrsscdcu9CGGCcQWewDIaqi8O2333b989RTTzkDwqRJk5wwQ2hhRIBff/3V7ZdjT58+PXYevN9++8nyyy/volrTcNlllznhSvtFUagd05z7V1995QTmI488khO5tB9zdOps+bzzzjtuLCTBfp599tlYg8Gnn37q+gQY63zGil7+NTNm/P0x9jp06CBZOP74450Q98U444GxHpc6THoxhi10CVx//fXuHBn3nTp1cp8x/sP7jL6nfRXu46lTp7qxy/2GGKcfWKmMeyyK+++/3wl72r1Nmzbu//TDW2+9JQ0bNnTjfMkll5QePXrkHZ+xgZGO+6FJkybuM+4V2hAjRsuWLVO1F/tmv+yP89fxz/MGwc+94vdLsWBYon2XWWaZ1L+JOzfuJ4wbGEf79+9f8rkZZfD0X3311XLggQfKPvvs43L1eVHFH4sqf1T499Zbb3WWJAYqFtk77rgjza4NwzAMwzBqJbvssosTA8DEHs8nKxohMnwQqwhgRHvIpZdeKnvvvXfsMRADTIjxaj/xxBOVvn/wwQdl5513zokRBGTfvn3zBB/bIOJV8AMiZ6eddnLnlRUEFGI1LgQZ7yLzQkStClqcQgghhbZC2CnMIRHu6tlFAOEFRPAD19erVy8nahF+0Lp1a3etiGAgVJhoC38OivcVL6qKOs65W7duMmjQoDyvMud68sknx17ztGnT5JZbbnGiLS0I4CRvaKF2THPuzMPZBsGvomyFFVbIE+KAUap3795yxhlnxJ4P7XDKKae4aIaQyZMnyzXXXOP6rFGjRu7F//mMsamGHoxcPhiLsrQZfPTRR3LXXXe5/vZBX2DkIRojCq67T58+ufcYRhjfDzzwQO6zm266Ke83nDt9QLsCxqaRI0e6a1EDG4YxIhUwWsVBn3Tv3t0Jfv3NuHHj5NFHH439DWMOAwoiWgU/EMmAQI+K6sgCRdZ5NhDBUg7BXxVgBMQoRHSFUQNEP4McaxdW4dNOO03OOeccZw3FWjhx4kRn3cJa4//hqE/5N4ZhGIZh1D/uueeevPeErwJeaR/E7KGHHipXXXWV/PXXX7nPERJ4jQkvjgKPJh58PGMIWgwAIYiFZ555Js/7jCjyvbVsQzgxHm0fxI1vCEgLQiLJy8+8EBG/0EIL5T5DtBMqrSBUWQVKBSleWbZBtEPbtm3lyiuvTGzf7bffvlJYPNv47U9oMStK+ZCKSttr+DUii5D1JHB2xfVTsRRqxzTnTj+H547wZkz4YHDCMMB1xMEcH6EdHhPQAYxH/1gch880hJ4+86NGENSchwrqtDAuCSHHQ+2z2267Jf6O8eIbUGhbxpQ/HkIPNQYixpF61DU92W8D7icMS7RBFFwnURR+27A9USFhPygYXz777DMXARRleFMDR7EwRmgvjDKkKYRo6hFGIl5hSggGRvqX1COiSw4//PC8dAUfUiowkDC+kowcUZC6xP2X9XdGFYl+clB4EBA2QwgKAwCL559//mnV+Q3DMAzDKCuzZon8M6N6Xhy7WAgzx+lBTm8IHkhEtx9ejZff90yGkL9MvQAm1ERbsjRymIN/xBFHOJGNR5z9RdVUwuCA1w9PKF7cMBKh3ODhxJiAJxNBQXsQ3hwaQ4CUB4QsXnHC2JMKe9G+CJG4cHndxo+cYNuwTVS80CY1mTTnjrgLRTpt7xfT5jc33HBDLpUiLpUAwxDjKQqOgzglukJBYOPxjyvcrYIao1cW6MOs6QBRIKo1dSOOMBJBx5bf7txzv/32W+x40esv1A8KaT9ETmDoIkIoCpyrRA1pFEUWSMHgmolqIN0l5LrrrnPjgZB7DDZEKZDqQ6oIUFeEKCaiSAi/xyDA2CDdIAquk+Xa2Y5Uk6xwrVlrGBjZSRXTRTEYwrTIc+KhjMWYBwjhKISsEcqCp98vnELoFQ9xwzAMwzCMLPz7t8htPavn2PtfIzJPdNpuIghavGdRefcqJvbYYw8nzBFWiAjEMXOsuBxqPPual888izBdQpUJlVcImUcgsV9C3SkMhqGA9+rVxWHDBB+BzTkixvG0k65Jznm5QWghJjBEcFzeb7311q4Y2m233Za37amnnupCyhEiGAjYnqJ+IRTwQ6hg+IiDoncIM/ap4LlGXNGWeJwRr5rznTY3v7pIc+444MI8c97zucIYQtiFnnOFSAvC2UkniBOh7M8PQVf4zD+WDwYuxlxWfvrpJxcpUipEJlPzIi66AXFLOD/3h0K0AgY27jUMFkSrcI9h8IgbL3r9hfpBQUxTxJL6G3GRHmoooS1atWqV4arFRQgk9Qv3PWNCj4EzlygWCmfSZjwfiMrhc2Dc8Dke+RBSYmgz0hmKhfPgOo0a4OlnoBM+1bNnz9wNjyWWPyyvvvqquzGwpmEJ4w8RxSK4YQzDMAzDMOoDVNdn7pMUgsy8CS8cwpWw26SK/sypyI3X0FxCh5mYR4X4M0ejEB6eQSIzKQxIATS8iQo5/YTsInI4NgKGc0Uolxu8v4gZxDz/Iloo+Ma5U4wuRFc3ILLUz/tXcCph9EBA+ikCPjijEK7UL/DTCjAgYEjg2IgYvKxaSCxtkbS0UPDNrwpPWxPJ4X+WhTTnjiALIyh4rwKfscY8HiddHBieGB9aPyEK9udX6lf4LMqYoIIaY09WMIgVU2vCBy83YwIPdJKXnzz80NDBbzlvRD/1FPDgcz/FjRe9/qR+CI0hpE4nCWU1HIYpOWmgXgZGPbzuPBN8yJ0nioFr9MclkduaV48xMkxlIRUljBrAeMCYLzUqg2st5jqNbJR2R1VAzgoPIV5UqSSchz9UhmEYhmEYWWncZLbHvbqOnRVC5tUblgSCFXGFJw2SllZDvDIJ94UiE3NC4PF6a8EwhJXm5TMfoygWVcM5FvvHk8/2eNMQUoRkI7BZeYDJOqKQ/OFygkeQMHDf86mFBSlsxzkgFkPPMaIfZ1LohT7ooIOcCNOK9SEYN7hOPNXkKYeQXkAVed8TSu5/uXP0GQd+ETyiO8Jq9lkpdO70YeglZUyoECNXmjbXc2ANeM3DZj/smzGF6NJtdFk33i+wwAJuG/aH8YW21hB/DDgYj6JEH4KafouLHEiCsVpK+jDni9caI1dU1A1w3kSdhEv6aQ4/K2D4aEX9KPT6o/rBjyJQMGDRjnjb8ZJjqAvR68/q5Qf6DAcsOfaE7RM6H6bNYITLWmAxqp+IqsF4wXGKOVe91mJ/a6Qn851IhcukG5FiD1jVwoqbhmEYhmEYaSDilRD76ngl1FWLBE8XyxZrZX6cH7zi0ChJcm6TvJk4UBBjeHr1xXuEl19FHMFOmLAPufs6+dcJPt5/HwquIQR0m3JCmD6ixp8vqiBi+S6dL4aQGhoWgqbiPL/RJb0ojOav+Y5hhPxjCqNxXCBVQEHkUmTNh4Js/CZOENYU0pw7qRzheKOv1cOOIYR8bB1DGCGANAHe0/8YBhCGuo0aLvi/GhzwdHNM/1gch8/8ZfV8QR0WWUwLRqxictn1nDF8sZQmhSIxZoQFN4F7iVzyKMMP96e/dCPGDTzmhORHQQQAxia/bVjyj6ieuEgH0g4Ys9RZoI9C9PqjiiqmAaMg18izgRVG1JNOm3A/hREArJZw3333uf+TDuHfY3rfhXn33JtE8+gqGsXCtRZ7nUYVin6K+TGQeOAQHhZVMAZCC5lhGIZhGEZdgnkQNY/w2FEcDxGE2EiKdiRMFlFKNeykSTAvPPc+vKeQnR/iT97uhRdemBP+/Iuww7NOBXSFbfyVA5jEf/zxx7FCphSowI+3nyWfAa8+KxdQ00An94h1PlPwuCJSWKZPQXxyjvyOtuWFwUPnnggzzp/rRCjqNr6IYglA8uFVxNE3VIcvFJVRE0hz7nhZWT9+9OjR7j3RHbSZ1oIoFwg70nwZW0Rf8OL/fBZ6aelHxDSiOgRDEOkcScUkiW7QpRuzQKE50owR0ohWxsLLL78cWRk+aSlB0kjUsMZ1YnAiyoSQeeA+IirFH2foIyrxa0oNSyYinpPSKoiQJiWFlwpuhetfeeWV81IKMNLR/1kq41MMlIgDQv01xx+hToqB3kcYNTCUaO0DrhfDB8sJqgGDNJWogoxE8xBVwXKWcSsVFIJr1SUnjRoU3s8NhLWWkBlCRyjgQME+BjUvOq3UPBzDMAzDMIyaDKIVTxeiIFwSS9cCR9wjbJl0I06ZsBPu7At+JvzMp9iG8GGEBNXnEQ/kzDJBV3j//fffuxfbIq4QDngyqeBPuDYTewQ/k3314iOkKQiHR5bPEOG6fnlUde+oHH0frgvDA15oBCbnQr65Vu7mPDg+7YNRBJG33nrrufP3nUOcE9/TJuQ/U6iP0GdAyGoaRLj2uy4Bx/YYC3hRXyoKwqd54YllvopIwTCz3HLL5W1H/9CuoAKHAot67bQZIcx+eDyiKsqLnJZC7Zjm3OlrvPFEkJAuQTvyXtMpfDhnjqP/x1iinn9FaxHo/7t06ZLz/FMEkvPT/qDOAJ+FICjjBDXHJ8pEo1GioC8YK6wU5keiUO+BGhScH6Idrz5r2WvUCPcSfYhhzYc0Ax/6kL5l/ERBxAjHUlFPiL5fHBLDGveZn8NPfQzuWbZl/CPW6StNb2B/aqyjXTHCkYJDPQUMfBgr+D+GAzzxCGh/1QHOmWXS11hjjchzRsBTn0Dbhm159nTq1Mk9X4gI4V7n3sEoQtvStxhzGOOMA+0TjBs8G4hGIJKD+5fz53PGKoYeHUMYPolKIiWCfXPOvjEv6dyA1Q3QldRPMKqWBrPCmLCM8MeOcA8G1OOPP+46j1AzOg8jQNLSK3UFLGCsx0nhEb94jFH3YLzzsOKPcDF5aoMGiCwRvcxpaqYuKNLsD5FGM4vfx38Nk3/PQ0EjXEd0F5ncRqSvN5+a2UCkYQlPDn4/i3NIKJw8uJ/I+Z1EJvUWmVmxMEi/i+d8f1nFKle/thA5a3Zdo1R0aCgy8TeRgRUpdGt3E+nURaTnNJF7KtcoyqPrPCIjZi8rnWP4dJF+QYHcCS1EOs6eF0YytrnIUhVz6Fumi/QJfj+5VfnG4Z0zRHpXrPA1prnI8vlz97lGay9Sc3BTkR7zVf5+81Eiuz44+/2WQ0QW95wKh08TGRnRPzcvILJjk+hjLd1Q5K0W+Z/Nj5emYrtzm4qMGyay3utzxlLLin57p7PI8Jh0x/6DRNp5qZvPbiGy1SipMrjnF5pdXymPV7qK3O1FjtKkn7UUaV9RD2mRBiIDKupEje8oMrTC8bdBY5FHEv5U3T1DpFfFmBndXGTFRlXzPFTwYjJ3YP1sXYfdqD7wxNKvOn+jgCBityZGcDKFJd0BA0bSevdGzekvokAQj1EFG32IYODZ4hu9airlHodEKaCjcLQSjg+Ez1ObA6NAXYIIClZqKHdkSl0j6e9kWh1a/F9p3UHDhq4oDX8MWOPzo48+cgVksPASJsKSMYZhGIZhGEbNh4rnePAAzyXzujBn2zCKgRUpiIrRFQiSIMqDFQDilrOsqxBRQsQCNRdU8FMjgbQYImPqEkSEEMlBRIFR9ZQUh4+HX9dwVAg/IoyMF1avYgtxGIZhGIZhGHMXPEaE9BKOjwDBw0gYsGGUCgKPNIQ04M2kGKC/7GR9AGcq9QR8jy3h91rIsi6BkzhMvTBqqOinGizVHqMyBPiDgQGA0BzDMIxisYhNwzCMuQe5yORNG0ZNQJcHrC+QIlBfUoXrW9/WatFPZUfWII2DgiMUdaA4RFUsCWMYhmEYhmEYhmEYhlRNTj9VR3fddVd5+umn3XqPrEfJ/6m8SkgOeTiEhtXFkBTDMOYOpZUaNQzDMAzDMIz6TUme/nvvvddV7PcrVbImJ0tRsFwGS4aQE0ahP8MwDMMwDMMwDMMwapGn/4cffohcmoIiFN98803u/6zdaBiGYRiGYRiGYRhGLRL9LCXRp08f+frrr3OfffXVV25tTS1CMWHCBLduoGEYhmEYhmEYhmEYtUj033DDDfLUU0/JMsssI02aNHGvDh06uFz+G2+8UX7++Wfp3r27HHDAAeU7Y8MwDMMwDMMw6jSsDvb9999LfeKff/6RSZMmVfdpGEWAk/uPP/6QOin6V1hhBfnggw9cXv/gwYPd64knnpD3339flltuOWnTpo2MHj3aRQMYhmEYhmHUJVhPe9ttt5WtttpK1llnHdlrr73kyy+/zH1/0UUXyeqrr+5SIY888sjY/Wy44YZuXXJqIn344YeVhE/79u1jf88k88QTT5R1113X/X799deXbbbZRq644oq87a699lpXZ4ltNt10U7cdv4ubpL788stu2xYtWsiiiy4qu+++e973b7zxhqy00kpy8MEHx4qXM888UzbZZBPZaKONZNlll5ULL7ww9/2LL77o9skx2GbVVVeVyy+/PPf9v//+K8OGDZMttthCttxyS1lrrbXksMMOcw4l5ZdffpGzzz7b/Z79rLHGGnLeeee53/qwBCHXzHarrbaaXHzxxZXOd+bMmXLJJZe4lNTnn38+8pooTv2///3PLavm93MpFGrHNOdOX9Gfm222mfv3pZdeSlxum/GYdP577rlnZPou108079prr+3649hjj3WfKfQ3452+0Bd1vdjX559/LllgXFIsfPz48XmfP/nkk7LEEku4Y0W15b777ps7Lm32wgsv5G2z4oor5p0fL8Ymbaz8/vvv7jo32GADd19tt912LnK5ENxjtAvjfccdd5Tvvvsu9x3jlGPTFhzz9ddfd5/369dPmjdv7sbA+eef7z7bf//95ZVXXpFiYBxfffXVbixw33AuPJv69u0rr732mlQ19Nmll16a6Tf0G8+46dOnR36PrqTNeEbyvA2Xit9+++3dM4qxxzO3VKZMmeLGF/8qQ4cOdf2XtGodz7yddtrJFbevc4X8eFjzcKRSP51gGIZhGIZRXyCS8eGHH3aigMk2wq1Lly7y7rvvumWLEdVMuJkj3XzzzTJw4EBZeOGF8/YxZswYefPNN2WxxRaLFJuIY2ooUTyZiec888yT9/3RRx/tvkfocUwmxAhfBPQxxxzjthkxYoScddZZMnbsWDc5hlGjRrnzQtw0a9as0nERTZwPk20musOHD899d8EFF7jVmqKEoXLUUUc5ccz5sx0RoBhJTjrpJPf97bff7ibpp59+untPm6255pquIHTXrl3lxx9/dOePUEHszpgxQ3bYYQcnSLWdHnvsMdcutCHGCUQW+0CIqih8++23Xf8QmYoBAS8qwgyhhREBfv31V7dfjh0nPBDJrE61/PLLy3///SdpYMlqRFCcUCjUjmnOnbRaBCbFs1Xk0n7vvfeeLLXUUnn7e+edd9xYSIL9ELEbZzBgpS4Vj4x1PhsyZEjeNTNm/P0x9ogEzsLxxx/vhLgvxhkPjHXEVRQDBgxwhq0777zTvb/++uvdOTLuO3Xq5D5j/If3GX1P+yrcx1OnTnVjl/sNMU4/4OjkHovi/vvvd8Kedsfpyf/ph7feesvVN2OcL7nkktKjR4+84zM2MNJxPxAxDdwrtCFiuGXLlqnbjGcQhkeOx3NJU63pM4QxhgSWW69KiP7WZ0yWdHEcyeGzTcEgSJvRVtwvV155pXvuKTif6TNe/tgrlilTprgxy/54rgDHY/n5KGOTQr9j2MTwxD2i/VknPP1c0DnnnFO+szEMwzAMw6gl7LLLLk4MABNtPJ94eRAZPohVBDCiPQSv2N577x17DMQASx/j1SaaMuTBBx90KyapGEFA4tXzBR/bIOL9yTgiB68U55UVBBST79CA4Xvmbr31VidqVdDivUQIKbQVwk7p3Lmzm2CrZ5cJ8yGHHOIEP3B9vXr1cqIW4QetW7d214oIhsUXX9yJnjvuuCPP+4oXVUUd59ytWzcZNGhQnleZcz355JNjr3natGlyyy23ONGWFgRwkke9UDumOXeMO2yD4Ac8vAgoX4irIOzdu7ecccYZsedDO5xyyikumiFk8uTJcs0117g+a9SokXvxfz5jbKqhByOXD8aiLG0GH330kdx1112uv33wXGPkiSsQznX70cUYRhjfDzzwQO6zm266Ke83nDt9QLsCxqaRI0e6a1ERimGMSAWMVnHQJ6Q0I/z0N+PGjZNHH3009jeMObQURgpfIBLJgHiNiupIAg8/wh7Djgp+wFAVjoeqgucZxrEs4EF/5pln3JgqBBFPPA8xZNRE1l57bfdcwshb0yhJ9GNtjLPcccMYhmEYhmHUVe65556894SfAl5pH8TsoYceKldddZX89ddfuc8REniNCS+OAo8mHny8SwhaDAAhiAUmzL73GVHke2vZhnBiPNrhXC2rVw4wMiR5+fF6IuJ94YFoJ1RaQaji4VNBileWbRDt0LZtW+fRS2pfvJdhWDzb+O1PselFFlkkb5t27dq5ttfwa0QWk/UkVlllldh+KpZC7Zjm3Onn8NwR3owJHwxOGAa4jjhOO+00J7TDYwJeb8ajfyyOw2caQk+f+VEjCGrOQwV1WhiXpCk0bdo07/Pddtst8XeMF9+AQtsypvzxgCfaBwMR40g96lqc3G8D7icMS7RBFFwnURR+27A9YjvsBwXjy2effebEYZThTQ0cWeD5QmRJ2G5ANIFvZAOOTWQM0RSkAXDfKkQp8NwiMqdnz54ugoL+Js2B5x5txv3gi1u2xRuv3nYMePyffuD+5t7muUD0hRqKSGfSbeLSanxIweF+xcBSKOIGIx3RRJz7Gmuskfe8xiDEs4/9YOQiRQsjD1FSeOpBU0X8dlFDll6/pmSU2nc1XvTzYMDT/+2331bKr4iyZhuGYRiGYRSCKcU/M6rnFUxnMkGYOWH6TKBD8EAiuv3warxiSXWPyF/Wyeg+++wjDz30UKUc/COOOMJNSvGIsz9/RSUFgwNzNTyhTHDDSIRyg4eTCTWeTDzPtAfhzaExBEh5QMjiFSeMHeNGUvsiPJLyatnGj5xg27BNVDDTJjWZNOeOASAU6bT9F198kfcbim9rKkVcKgGGIcZTFBwHcYoXU0Fg4531jxUlqDVEOi30YdZ0gCgQ1Zq6EUcYiaBjy2937jmKtMWNF73+Qv2gkPZD5ARCmAihKEg1IWpIxXEhiERBQGsaQwiGP54h/rOFKBmeKRgzEO8HHniga3tNy0Aw33fffU7rEZGAEYNtMNIRUo/WI3qEYwOh7b4RDlGsQp50A8YDzx6uXet3YPxLI/YVDBpEEZE24Ue8hPAsIVqDiBHO/eabb3YCX2slUC8E4wPnhbjHeHbqqae656imh/Av5+Ybm3766SdnoOD6iSAhOiis90DfFVuTocbm9JNDBEn5DYZhGIZhGFn492+ROw+vnmPve73IPNFpu4kgaCkiFZV3r2Jijz32cMIcYYWIQBxTcC8uhxrPvublEzKLl4uJJqHyCiHzCCT2yySewmAYCnivXl28fExeEdicI2Kcyfa5557rPIPlBqGF95cJNMfl/dZbb+0mx9SB8mGiTUj5dddd5wwEbE8ObwgF/BCuiJQ4KHqHMGOfvoMKcUVb4nFGvOqkPm1ufnWR5tz//PPPSnnmvOdzhTGEQIryAAMiDoFEOkGcCGV/UTnKfOYfywcDF2MuKwgrPMKlglglFzsuugGRTDg/94dCtALimHsNgwXRKtxjGDzixotef6F+UBC81EXDYRoX6aGGEtqiVatWBa9Vl0ePqs8RhXq08ZqrUCWNhGgBChgqfKbRExjvMALwHAMiRxD8ePQxECSBl18jGvgdkRHFguGPSAn6BS2KFz9En20YOmHVVVd1qVhcNwYNhfPWc9fUl6SUHPpMn7+MK/qJOg60n8JnFIMkqisuFaXWefq5ISkEw0PWf/HHS3OwDMMwDMMw6jrkmiIWkkKQEeTkoiJcyYVOquiPd5HceJ2AEzqM5ywqxB/vGoXw8AwSok1hQEJ28agp5PRTEwCRw7ERMJwr87Zyg/cXMYOY519ECwXfOPeo5ch0dQNye/28f4Vq/Bg9EJB+ioAP3myEK/UL/LQCLQLGsVklAS+rOquyFElLA6G+flV42ppIDv+zLKQ5d4R8GEHBexX4jDXEFnUl4sDwxPhImruzP79Sv8JnUcYEFdQYe7KCgC2m1oQPufuMCVYWS/Ly4/0NDR38lvNG9CN68eBzP8WNF73+pH4IjSHUByDvPw41HIYpOXFoXYswEohIA13VA8OjRitgcMRb7Y9NtvXTj4AoHP86MQBo36iBQQ0OSRABpZDWQ6HEUqBoI88CIg+iIoi4vjAdZ9lll3XPVB81eqTFv37gWRNeS9a+m1uUdEdhScUqG0VUjoNhGIZhGEYhGjeZ7XGvrmNnhZB5JsSFihszSUVc4WmHpKXVEK94i3yhSP40Yat4vbVgGMJK8/IJv6XqNPm4HIv94+1ie7xPTFaZtCKwWXmACAFEITmo5YSJNGHgvudTCwviReMcEIuh5xjRH1YXxwt90EEHORGmFetDMG5wnXiqozyOeCh97x75tuT+lztHn3HgF8FDZIXV7LNS6NzpQ7zBPowJDY+nkBxtruegy5Dh5WU/7JsxhUDRbfg98J6K5WzD/jC+0NYa4o8BB+NRVCg+gpp+i4scSIKxGlehPw2cL+HbGLniKsJz3kSdhEv6Ad5ZPMI+WlE/Cr3+qH7wowgUDFi0IxEYRBZgqAvR60/j5Qf6iegdxK4PNQwwHPHCgOEvZ8kzgOdFEmFxvahie2GKd6H9YORL85tC+yNnHwc0xsVS9pOFNNefte9qhadfwzuwDGnuglo1tJqtYRiGYRhGFoh4JcS+Ol4JddVinRzffPNNrpYRuaa8krz9CFvyjJO8meS/IsZ0ws6L90za/SriCPZw0qkhrQgBwMuO998HLx3587pNOcEhhKjxhZsKIpYt02LQIVTl9z2CQM4wv6FiN1AYzV/zHcMIqygQmquOKFIFFERuGEpMDjO/iROENYU0504qRzje6Gv1sGMIIVdfxxBGCD9fmf7HMMA8XrdRwwX/V4MDnm6O6R+L4/CZv6yeL6jDIotpwYiVNpc9hHNGyJKrjUcZXRIW3ATuJUKyoww/3J/+0o0YN4iiISQ/CiIAMDb5bYP3l6ieuEgH0g4Ys9RZoI9C9PqjiiompYOQ/qM59kkQmh6uJ0/0NisA1BYwaBClQioTYzy8Pl0JRJkwYUJk6lCIb6jC6BhGTxSCviMCQAuP1gnRz8OIIgjcNIRXANYWHkBYlQ3DMAyjrjMro0g06g6EyVNUCo8dBaoQQYiNMIQ0rNiOKD388MMTJ4288Nz78J58Vj/En5xhCmip8OdfhB2edUJ6FbbxQ3cRzx9//HGskCkF8nfx9quAwKtPrjDOIhUxiHU+U/C4IsRYpk9BfHKO/I625YXBQ4usIcw4f64Toajb+CKKiT/58Cri6Buqw9eGJafTnDsh4qwfP3r0aPee6A7aTGtBlAu8+1RxZ2whhHjxfz4LPZr0I2Laz3NWMATh6U0qJkl0QyjY0sC69uRbI6QxDDEWXn755chl85KWEiSNRA1rXCcGJ6JM8KQD9xFRKf44I9ycYnGaUsMSeQjPpLQKUjVISeFFrrwP17/yyivnpRRgpEtaHY39kAZCG/ih5YhWrRuiNQTQa0T5kBak21CUjuuqTRBNwjOAZR59uD6ipSjmCB988IGL/EhaltMf6wh/2pAxlNV4Rd/pEpp1JryfPCWsLNxkWn2WBzgWNdZfjco7MwzDMAzDqO0gWvFCIwr8wlf+WuCIe+ZFhPkyMWXCzmTSF/xM1B977DG3DeHDCAmqzyMeKEblh67y/vvvv3cvtkVcIRyYd1HBH88SRgAEP9W51YuPkKYgHB5ZPkOE6/rlLNmVNaSV62KOhxcagcm5kG+uBZ45D45P+2AUQWiwbBbnrxA+zTnxPW1CXi6F+nSNbybpmgYRrv2uS8CxPcYCXhRei4LwaV54YslPJuUAw8xyyy2Xtx39Q7sCc1pCzBFKeu202bbbbpsXHt++fftIL3JaCrVjmnOnr/HGE0FCugTtyHtNp/DhnDmO/h9jiXr+Fa1FoP/Huaeef4pAcn7aHwhMPovKWY8T1ByfKBONRomCvmCs4LH2I1Go90ANCs4P0Y5Xn7XsNWqEe4k+xLAWCkMf+pC+ZfxEQcQIx1JRT4i+XxwSwxr3mZ9LTn0M7lm2Zfwj1ukr9RqzP9VFtCtGOFJw8FRj4EOo838MB0S2YJTzVx3gnCdOnBhZtE7hWBgPMLaR4kMUhp4nv+M+0XHBWGb84bSljfkt0QekAOj4YFySGoLXGqMaUU20Pb8lUkQNhtwvfEffYCzhXDk+KRa6/B3bcI9iuKLv2IZr5vlGv+k2tHO42gK/wYilz0iMOn5KEv2kqw4onCPRVxgguW/+/vtvNy4Zs3osjADaH9wzOtYYn0RHadswxjhn//p59lLzgfd8znNCHeD0Xdz4r04azCohqYKbQnNhaHy/GAze/rhqtHUNQngooEEhC794jFH3YHLHQ5c/wsXkqQ0aILLE7NV2imbqgiLN/hBpNLP4ffzXMPn3PBTUeTmiu8jkNiJ9vfnUzAYiDUtIx+L3sziHhMLJg/uJnN9JZFJvkZkVKWj9Lp7z/WUVq1z92kLkrAwLiHRoKDLxN5GBFSl0a3cT6dRFpOc0kXsq1yjKo+s8IiNmLyudY/h0kX5Bcd4JLUQ6zp4XRjK2uchSFXPoW6aL9Al+P7lV+cbhnTNEeldEpo1pLrJ8tvS1stHai9Qc3FSkx3yVv998lMiuD85+v+UQkcW9VZ4OnyYyMqJ/bl5AZMcm0cdauqHIWy3yP6OOrvo6z20qMm6YyHqvzxlLLSv67Z3OIsNj/mb3HyTSzkvdfGZLka3LXwst755f6PfKn7/SVeRuL3KUJv2spUj7CgfPIg1EBlTUiRrfUWRoheNvg8YijyT8qbp7hkivijEzurnIio2q5nmo4MUkTRAnQk0Lh6yP4ImlX3XpPAoIMskNc5xrAkxhSXfAgJG03r1Rc/oLEYbHPKpgow8RDDxbSsnXrq3jkCgFBCVeZlIUgJU5iKLGKGDUXF5++WVngCPyptRilGn/TqbVoSWF9/thYr7tgP+HxSwMwzAMwzCMmg0Vz9U7h+eSsNkwZ9swioEQcqJi0iz1TZQHKwDUFweigkcazzeedBX81EggLYbIGKPmMnHiRJd6c9ddd5VV8JeLks6IqqRY4LBoqGWLohWE5NTUJfuwnnG+hHroWqdAtUus2IS5kf9ByM2hhx5aredqGIZhGIYxN8FjRFgw4fgIEDyMhHgbRqkQKs0cPA14MykG6C87WR8gaooQed9jS+i4FrI0ai5NmzZ1KR3hqiR1QvSTe0JxFXIZEP38kSDcj3yJpEIT1clrr73m/nhRodKHypzk2JHLQmgbFjVyVcq9hqthGIZhGEZNhXmPn65pGNWJLg9YX8BDbKnCtZMFqmAllHJSUng/wpjcBQoWUAiEJRMIw6FyKGuwFgNWZQqGMOgpHhFCoRoKiFAVkZoCFHrJAgVi/HVjFcS+Fq8ADBg1MTTDMAzDMAzDMAzDMNJSFlUbCuZiQeQjylmShvyVENZgpAIn62BSuZRiFtttt53LN9O8FwrOUEwjhMq44dqvcVD1kiUddJ+GYRiGYRiGYRiGURvJ5OlnGQyWOEhb8B/xzRIL/lqRSbA0xy233BK7zAFpBCxjokuVHHDAAe4YLKOgUOmSJSbCV1rBz1IXLMND1VDDMKoPW/vcMAzDMAzDMOaypx/hzLqaFHc5/vjj3TJ9hPhHGQc05J91DtPmxa+yyiru32+//Tbye1IHWJvRL3bB2pwcC+NCqbB+5g8//OCKE7777rsy//zzu6iDENa79NfmZKkEoJ4BL6PuQv9i9Cq+n0vKqKl3zJpFO6P+y2cBmJW3IOHsY7junFX4OPx25sx8o+dsG2h+v84eH/F97Z4VFYeaGfv78oxD//xmeced+zSs3OYx37tt3PPUex/TP+F2+fvy+2vOZ7qfQv1U88kfy3Out/K15v3KjZ1ZJY+Z0p+H+fvRl2FkQceMjR2jOrFxaFQl+vcxSmum/RucOby/V69esuqqq8qJJ57oPO0IY0Q9+e8UwMOrjyCmmN91113nwu3LAdU7EdehkWHRRReVN954I/V+Hn30UVdZkQr9Q4YMkWOPPdZ9TmE/rm2NNdZw37MW5tChQyNF/6BBg+Sss86q9DnFAFlH0ai7cGOxDiY3XnHrUi9aBWdVd5ky5TcR8RZrLwOzU4fmPPp+nzZNJk78U6Y3ai7SiFXc4+HZNvGPioXc9fcN5xdp3Dzvs0k/TxJpUtkg6j/P5pf/Yn/Psi/lGodTG84n0rhF7rjNK44712kyZ+wTTTXxt79iv4fJv/wsjf+e84csrn9oh4mzZkTui76eOPHnvM/cfKzBnOgykdpbMGn2H/pGufdc26RJE3PXGn6fvw77L6nHzMSYMVP683DO+bAvIvei0vMMIw7GnqaDlmN9dMMoBhuHRlXD30b+TvI3mbpzPsypqiynf+ONN5YxY8a4tVxfffVV+emnn9wf/hYtWjgRzhqc/FtO/vzzT/dvWISP9/pdGkgP4BVCTQKuIQ0DBgxwS9goGCPat2/vihdaxc26DTccD3T6upRJrpGOFi2aS4VkKxssfeOz4AILSNu2C8h8fzQQ+Sf5tzxv2rZqm/979GagXxdus7DI7ACg2GrEbRvF/75t2/xjlDIOF/qbB2jl4851PFsJ9VLazhvUTMm3pUjrVm2krWfviesflhdrG66OM2VOX7dt2TbvM38+VtMr7RYi7HuubeGF24pU/CmLGxtMGMJxXMyYKdfzEGM5kxacB1ZA1yiGcBJs1B5wmKEf6kIfpr0G9NPiiy9e5edTX6gP7dm4cWP3d5a/ySxn6RO+j6Mk1UIDs2TfUUcd5YQwnvLddtut7IJf1z4EP6xe3+t3cwsm/oh7/wV0hr3q/otJbrG/NbLRoAFtVl6reYNgfxzD9U0K6zy/rTweKvdrob7O20fM78s1Dv3za1CN901UmyfdG+G5xnlPoq7J77Goz9L2U80nbJPZ1xv/fcWnBcZOljFTyvMw3E9tfN1zzz2uoPDWW28t6667ruy9997y1Vdf5b4fPHiwiyDkGnv27Bm7n4022shFTuKAoDix/x0sueSSsb/H8XHSSSe51Et+j+Nl2223ddGK/nZEX66//vpuG1Y/Yjt+x++j9jt69Gi3LdGc7dq1c/M9PmeCzVrrm266qWy++eYuzZJ9h7/nOvRYrLrE6kvhNg888IBrN93Xhx9+mPvur7/+cqtC8XvSSTkOUab++aqRVAtK64uIzSzn0qlTp0r7oH4U2+s21I/aaqutZJtttnFtR0Tr008/XXCMkPK60047OYcZ13DttdfmfT9ixIjI4xMBw/d4kG+44QbXBhyfCFqWmMbjFx5r/Pjxbizx+6hzoS+T2oq6WBTU5nNWyaJfXnzxxdhru/LKK93YfuGFF4q6f1555RUXNex/xnWjKRDQ/r2UpS3ef/99tzw3/US7M3a//vrr3PfsF83Cd1wrEcykCTPmiulL+Oabb9y+uI+XWWYZ6d27t/tu3Lhxsvrqq0uzZs3c9zhKWeXs0EMPdRECWdrrnHPOcWOFNmdfRDrzOanUGE5WXnllueCCC9znfM92OrZoi9VWW02uv/569xsimvX+5vpZPc0/1iGHHOKug9+zf/87oqZ55nF/cN/SHw8++GCmayl17PgvHLFZj9+glr5K0Re1xqSOZQOPDjeLz48//igdOnSotvMyDMMwDKN+gmBBNCH8iXw4+OCDndigLhAOAkQqIhMRzopDAwcOrLSkMZGTiC3qJj3//POVjoHoot7Qvffe64R86E08+uij3fcICY6JkDjvvPPk8ssvz9U7QliSljh27NicY4a0Rs6LwsUIkhCEDefDpH7ppZfOFU3mX64PwYuHCVGD+OLYXD8QucG+ESD777+/fPrpp04kLbHEEk7kp1mRiXPl93zP76ZMmeIELWLFL+DcuXNndy0qvkLSnAttErb9nnvumbcy1YUXXuhEHkIYrrjiCtl5551dHao2bdpEHpsx0bVrV7cv6kXh1UZgYajYfffdc9uxVLW2XQjzXPrxtddec6INZ9cOO+zg9umfM4Wwr7rqqkrRbD6Iz6gxpiC2MR7deeed7j0CkfFMXyD+fBDAF110kRQLQr179+5ufOuYLrSKV5q2YPxrm19yySXuM0Qh7zUdmChljsVvODaRvhjnGM8Y6rL2JQ5PDHOMQ4QyfXnmmWe633G/45xkFTHuJeAaMXjQfv3790/dZtQ14zgUPPf7kfsTYxS1yZo0mR36xvfcE/7YwpCHUEdP7bPPPrn7G+HNNfnXftNNN7lrYN/+2MQQx/330EMPyVJLLZXrN9rmk08+SXU9pY6dkBtvvNH1H2PCNGE8tcrNgSWJh7/Cjc2DCGuTYRiGYRjG3GSXXXZxQhXwtlAniIkvcxMfhAnhmYj2ECbRRAjEwUSeifQvv/wiTzzxRKXv8XAhPjX9UT1fOiHXbRDxfiQmghavZdaUCowTGDM0pJQizMzD7rjjjjzBgEjq1q2be4+I23777Z3wTrsiE8Kf9kScA55MxM7dd98dKQjjSHMubONDW2PU0N8A56WCHxBLiM644tPwyCOPyAcffJBbEQoBiNA999xzU58/Ig6vK4IG6Ge81Ag1jD2+c4zPll12WSkWinWzSpdy2GGHufFBREYI4pvlrYsF0ccY9MOyC63ilaYt6Du87r424P8Y1nQ1MfoOA44aGxDBiEYiJcrZl4wN7k2MDyr4FaJsMMSlzceOg3GMEQRDjQr+ODCacb+yUpnPkUce6Z5DGGCS4Pq59zHQ+c8XDAN8xnhgxbRClDp2QkjVw4DoF3s3arnox1pFSInelLfddpuzaNLRhmEYhmEYcxPC+31UCIepiAhWwnnxxBJCrHz++edOwMYJNUKd8eDjcUMcYQAIYaLPKka+ECbEmBWP/G3wrIdLKI8cOTJzSiaiC+9veN3+NXNsvOm+952IB/+c+L9f7NlfkUk9+Hgfw+NoQau0pDkXvLM+GDAwDPirT+EBV/744w8XSaGh4UnHRkj79UM4NkahtMtZ40kmFLrQOMOwVEj0FYLj+JEotBnCOhzPRLcgmNXgVQwIT0L0fRCkSUaLNG2B8QOBjQjW4qD8n2gWjWhhzPuiFdGMFxzxW66+5N4mAuCaa65xofUh1ALDoIWuKZYzzjjDFSZHcKc13vFMCaOFMEBgFMSjn2SEuPrqq52RjnszZM0113TfkeqTRNLYwSi64oor5iKL2AbPPUY5DDlE6pDCQKREOCZxDLNv0hSMWiD66ShuVLUy7rvvvrLXXnvlvicMi0HA5+QaEXb05JNPOmuwYRiGYRh1A1Yi+Hd69bxKWXGLUH084XjUQpjbIA4ItVfwrvme1RDmOAgjJsmE4xJSi+D0OeKII1yOOt5P9kfucggGB7yOiBYcKGEkQikQdYlo8qMVEDxRqy0RRo0nNmlFpi+++CKxfXfdddc80ULIN/NCvPB4dBFZvlGg0LlEwVwzztvM8RGfrLJCuyeF08cdG/zrxIuMaEF40Y5vv/127D61HRCciKMs0FaMo7i2CkFQMmYJaVcYfxhjGGvFQooGDrxyhGJHtQX3CeeNqOZFpALXGhpFENxEfmAwQXBi6Cm1L4EUEtoMsYoYjqNjx44uzL8Y8LhzH6GF0uZ033XXXS59Jkwl4fcYDrgfWJI9Du7zMM3Dh++IqIij0NghVYnnE6nc3OM8/4jIoJ7JsGHD3DkS8U2fawqK35Y8U0g3Mqogpx9PO1aXuI6LCmNLgpsxKdcIsJrxMgzDMAyjbvLfDJH7olOcq5w9hos0TlcMOQ88T4QsR+XdA6KEgmJMeBHqiE4mqOSG+15nHzz7mpePd4swYQSMP/c6++yznXhiv4T1U2QPQwHv8ZwC+b7Mr6gpwDkSErzSSiu50GREbCkgbBBDXJNCsb2o1Zb0O13LPMuKTB9//LE89dRTlUQFnmGug38nTJjgxCz/as5woXNp1apV3ncUE0Qc02ZR0P5EaxBWTn40oi2uoDT7Dytr+8cG2g4PKdEcfEd7ElVAZAY5+FGCmWJ2CNus0EbUe0AgRbVVCIXjmM/rOILTTjvNiTCKO5LLXQxanyts+6xEtQURL4TU40nHOwwY2sJoDn9FL/qQ39CvBx54YNF9qVB/A01TaHUxIoDCWmVpIdKEuhBaDDAO0mgwYrFKCsejtkDU2CbygWcX188zgRz9EOpqJIl+oiCSIljSjh2uCeMUYEDFKcw9goGNF0YeDGN+pDfXBsW2Z32gJE8/f2ii1pPGGBAVgmYYhmEYhlEXITSYiWqSYwJBjhcQkYLnMSmcGK8YVcg1NJhQeERb1PwKzx3F9agnwMQaYYw3F0+ggheZmgAIWo6NOOJcn3vuuaKv+b333nMGBDzefngxIjhqtSX9LuuKTIQck19Pvrcflq0iHBEL/EulcQwemkZR6FxCEEjkaid5T0mfwFiDIULrARCxQbSqH7Ga5th4lwcNGpQTkEQYED4dJcQJVcf4g/FGixBmgYiCpLby4bpYqcEv7kaECN5ehFsp6BLZpSzRGdcWhHhj4KJNMb5pKDmGMAwcUbASA/ci92ccWcYRtSgwqmFQ4J6Mg3NLm+YRgiGD+hZaYyAOPOe0B8ULuf/D1Bwf6moQNcOKCBhUQhDWYaSRDzUZ4gw5WcYOKSY6NrRtMRQopGmEy6yrobXY9qwPlFy9n8GBxVlDx7hpqF4ZVQnWMAzDMAyjEI3mne1xr65jZ4WJNZNTPKNJIE4Q31pEjnz9OCi+h9j1C4CRj4u3mwm5VoxHxGuYMaHKFAfDS8ex2D9eO7Znws5Emgk1czUm+EQIYIAgtDwrhDuzDwQ/XlUf9hu12hIF01QUpF2RCQ8l10A4c5JgURCzGDRYlo384DTnovA7HFcUhgs9j4hMP4KD1FLqLBAZAJdddlmlc+HYoVGFY0OU59m/hlCgEoaPZxPvPAX2ykHYVr5xgHBqRKJ/zYTDYyDQ8ULfAEYOxhe/SVNIUL2yjOdiSGoLjGqMc79AIOOT6+S6EMkcl218DznXT0V+XuEKG1n7Eo83HnVSkVk5gkiCqHXkOY9iox0weGDUIxKIdBOMfeWAvH1ShYhkIX/eh2cKGi8OUgfi6jxkGTtRKTPhZxotpOhYKjV6pC5TkqcfKxN/fHjws/Yrg4NOxDJd6A+fYRiGYRhGFMzFCbGvjldCpGxs+CxhxJrSSM6pv9JQCN5EvG7k/CZ5OikmxxwLL52+eI/4xMOnMIkOJ8Dk7oMWHcOjG4bF45xBiPiFydLCkluEFrNUFh5N8At44VXFs+efF8f3K6qnWZGJayXHnRciR4snqjePtAg8uz54pxFzWvU/zbkotC9COBSuiOIwggMRiUCkhkMcHBtPLx5Q/9gUFtQigSyTF4aBcw0szebDuu98pkuiUfCQ+XdaaKswJSBsK2CcYTiiXTFs0NZasBJhSVvqeNS8agwevE+7coAaqeJqKhQiqS0Y04wb31NNP/GZeo3xZIf3KNX/Cd+PE41p+tIHoxzjiXGHEI7yQHP9YZ2ALJB6QTE/qtaT+14OEODoO4p8kqbggyEAowo6L4Sq/Riq4jz55Ro7cehYKqU96zoliX4sOtwAFFogxAlLF2FJPDCTimEYhmEYhmHUdgiTv/XWW523jQktIgCxFDUpVsgdRiAjPJImsLzw3PvwnnxWP8Qfwcga8ipq+ZeJNGHwOGQUtvHDuBFKzN389eLTgHcR76XmPnPNvHSpPWAuiJjUiT0F4R5//HFXJTztikzqzcUogbDS41DMS0N7MbZQ50BFM21GrjPh+WrMSHMuaQr4IZp9oYixB+GvucdREN6NQ4xUAECI6tJmCkXJyEtXWCoQzzACy28r+oqaENoOGH6iijbGQVuRMpDUVqxjT/QuIhIRzXFefvnlzBXmKS6ny+pFgbDGs560RF4chdqCNkf4+ekR9NVCCy2UFylCWoN6hzF+sLIGbaEeZTze5K+rRzpNX4YQYYBGIiKA34fGHa6faIC07RYFtSCOOuoo9wqX4isWVqWgPghL9PlQ2+Hiiy927eSPPf7Pvcp3STn/VQlticHCrz9hlDG8H2s1f0CwYGE9JLyEGwtrKA8L8ssMwzAMwzDqGoTe43FEnIZLcmmeN+IeMcGkH3GN94xccV/wM1knFJhtdP1wPNuIawrU+cvW8R4vOy+2xZPIpB9PLGH2eCoRFgh+xIaKOZbZQ1CQ589nFMbS9deTqotHhdYyz0MMED3g4+fa4yHm+FybLlOIoPZzr/0VmciRp138FZkQ5mrcIOrBR4UX3leEOFEDXDteWMSVH+qc5ly0SBnC3hfgvmdai5BxruRys18EepKHknbDCMTvKEjGsRHUvqEFEcv1IFwx2DCe6BeEF9DWmg6CwceHOgcK83AMIAhihCrjA8MM6bfaVhim2G9cW9FGjC0MUz5RS2MTlk3Eiv4fEa+GFc6h0LhCtGN4IkVEYVxiUKIvgLGBcNZIgzRtgfCjXzDqYPSiPRnzjAFNQ6E/aCty+elPqr7TVkRdKPQx/aWrGyT1Jf2G8KWtuY8ZX9Q8Y7whgrm/aX/ahPPkd1T8J+3Ed5IWajdqqek9Qf9iyGMcM34w4mCw4f9sp2vWc79StZ/7yYfoB1ZIw0NPO1OHwB9PPGtoxxDSIzA+8kxRowkpIPRLmvSbpLFDu3G+tCHjgM/0XmE7+oyUE176mabVMJZ22WWXyCKqxmwazApjwjLAWpj8cfKX8tBBS8cXW9WztsHDgtwwLM9YEo26Cw9/HuQYuNIukeIzaIDIEt+Vdg5TFxRp9odIo/TLFFfiv4bJv+ehoBGuI7qLTG4j0veSOd/PbCDSsIRlrfj9LM5hzrLSlbjoBJELVhSZ1Ftk5r+zP+t38ZzvL6tY5erXFiJnnZn+2B0aikz8TWRgxTxn7W4inbqI9Jwmck+B5V27ziMyIlghdPh0kX5Bgd4JLUQ6zp6zRDK2uchSFXPoW6aL9Al+P7lV+cbhnTNEelfU3RnTXGT5+NWlqpTWXhTn4KYiPear/P3mo0R2fXD2+y2HiCw+O+3Tcfg0kZER/XPzAiI7Nok+1tINRd5qkf/Z/CKivs5zm4qMGyay3utzxlLLin57p7PI8GiHn/QfJNLOSxF+ZkuRrYuvhZbqnl8oYunkV7qK3O1FKNOkn7UUaV8RRbpIA5EBFTWexncUGTq7CLxs0FjkkYQ/VXfPEOlVMWZGNxdZsVHVPA8VBAoTYKIFw+rYxtyHiTz9qjnIFBBkAk7V95qG5tqH+dlG9UEqBEYwBGOYE+7DnBnhjhhPqm9QGyhmHFKLgIKNujpH2nYzKoORiLFEzYWwvkhdYXrC38m0OrSk8H4KwYSCH7DYUHDFMAzDMAzDqD0Q6oznD4g2IJWTCAHDSAN53XijCwlXRAqeXNIY8PDXJ8iZJ/qAnPys7WZUhsgpoirqquCvEeH9SVZfs7gahmEYhmHULhBjhMiyVjxijNzetGG7hpFlJQhC2UlrKCVSqDbC6hphykQxK2gYc2qrEH1uVKHop4BFHFSxJTfIMAzDMAzDqB1QiTxcmswwqor6mBZrArW8WHvOBdFPeL8uuwFUMSUPDIud/7lhGIZhGIZhGIZhGLVM9FMBlIqUPhSyYPmaEuoDGoZhGIZhGIZhGIZRBkpKogkFP1C58uCDD3Y5OoZhGIZhGIZhGIZhVB9VUjnjs88+c1UoDcMwDMMwDMMwDMOopeH9HTp0qPTZ77//Lr/++qucc845pezaMAzDMAzDMAzDMIzqFP3zzjuv/O9//8tbpm/BBReUzp07RxoEDMMwDMMwDMMwDMOoJaIfwR+uM2kYhmEYhmEYhlGISZMmSYsWLWSeeeaR+sL3338v7dq1c85SIx2sDteqVStXO86ohpz+JMF/1llnlbJrwzAMwzCMGg1Fi7fddlvZaqutZJ111pG99tpLvvzyy9z3F110kay++upucs8yx3FsuOGGMt9888nmm28uH374Yd53rIbUvn372N//8ccfcuKJJ8q6667rfr/++uvLNttsI1dccUXedtdee62st956bptNN93Ubcfv+H0UL7/8stsWQcYyzLvvvnvuu99++00OPPBAd8w111zTzfniVm165513nKA788wz8z5/8cUX3T45xiabbCKrrrqqXH755ZVSRo877jjZYIMN3LG22267SjWj/v77b7fN2muvLWuttZYce+yx7rOQJ598UpZYYolK56HQ7to27GvkyJGVtmG/OLwQHn4/x/HLL7+442288cZu32ussYacd955bqUrhf307NlTNtpoI7fNKqusIkcffbT8+eefuW2GDx8uK664ovvef/nXedNNN8mWW24pW2+9tetb2uypp57K3FZcN2OZdqDNjz/+eJk+fXqmfkvL6NGjZf/990/dxrTbsGHD3OphXCvXcNhhh8nPP/+ct917773nxgrtQLtyvl999VXue/qE+9JvS/qI+/Tzzz+PPd+kcc95c17h/YJRg/uuUaNGstlmm7n7Yfz48bLrrrvG3nuF+Oabb+Twww937c8+uU6ePXfddZfrK67PHy96Tvqe79jm7LPPdv/nuvn89ddfzx2D8XfGGWe4caTPFXRfmnGvzJw501370ksvLaVC6vgOO+wgP/74Y8n7qq9kNpcwQNIwYsQIN1gMwzAMwzDqIgcccIA8/PDDTmAwwWX1oi5dusi7777rUiAR1QgoDAM333yzDBw4UBZeeOG8fYwZM0befPNNWWyxxeT555+vdAxE1g8//CD33nuvDB06tJJHFIHI9y+99JI7JiIEYYkQO+aYY3JzMgTK2LFj3eQfRo0a5c4LEdisWbNKx0UEcT5M+Jm0IzwVhM8iiyziRALiABFEemffvn3z9kGb9O7d251XyO233+6E1+mnn+7e02YIqY4dO0rXrl3dZ7Tn1KlTXRtw3eeff75r6w8++CC3z/79+zsR9dprr7n3tP8JJ5wgQ4YMyR2LdqCN/vnnn8h+xLhAW1xwwQVOhH766adOUGIk4NoAsbPffvvJ8ssvL//995+kXeUKwxB93Lx5c/nuu+/cNSIQ1fjw6quvun3T1lwjwhLjAEagwYMH5/aFEKY94rjwwgudYQexDhh9dt55Z/n222+lTZs27jPahWuLa6tPPvlE9t57byf8+e2MGTOcqDzttNOcASttv6Vh8uTJ0r1791zfpmljBB99yfmvttpq7vwQgnvuuWfu3mH8cx58dskll7jPGJe8f+ONN3L7uuyyy9zYVh555BF3jySlJ8eNewwjTZo0cfcUwt+/X+aff35ZaKGF5LbbbpN99903ty/Ohba/+uqrJQsfffSRM+xceumlcv3117vPGNeMJ/bPOYTjJbyH+Ze2pg+XXHJJ6dGjR96zB8MBRhWeAX7/3HHHHc4I8Mwzz8jKK69c8FyvvPJKN94Y+6WywgorOMPnIYccErl6nFEFnn4GGQOq0GvKlClZd20YhmEYhlFr2GWXXZwIhYYNGzrPKcIJce2DMMFziWiPmlchtOJAZCFs8Ro/8cQTlb5/8MEHnUBTEYzXDpGz1FJL5W3DBF4FPyBOdtppp8zhsnhRMXQgWKBp06Zy1FFHOUEeCjUm/YhQFZ0+tBViSaEeFB5JBLwKPMQn+1bRgYECT6wuC41wvO6666RPnz7Ok8qLfV5zzTWuvRQEDEYTBFgUeMkxUHTr1s29R3Ruv/32zgigTJs2TW655RYnkNLSunVr104qehZffHHnkUU8KQgyxLpeI9si+rUd0oKQU8Gv+0UUI/q1rWgX2ieurcaNG+f6EFEJjCn26UcMFOq3tGBEYAzSJmnbGGGN6EPw6/n16tVLXnjhBWfUAa4FT7heA/B/DGt4i4ExhTEubL+kvs0y7hUMOBggMHz5gh84b+5tVjzLAoYSxpD/zGDsnHvuuW7caN9jmIlDoxziwICAYYo+8o2MGGQ4NudQCAxcN9xwgxxxxBFSLoieoL0wOhhzQfRj4Ukj+gkDMQzDMAzDqKvcc889ee/xzgJiywdRdOihh8pVV10lf/31V+5zBCyCYdlll43cPx48PPhMwhFHiIQoIcQk2BceiNtnn302bxu8kyp6FES1bwhIA/tdYIEFnOdNQUARxoww8if9hGKrRzhkpZVWcl5SQHDjtUTEISrg66+/dv/iWfWvC1GM9xH4lzYiXN0/Fz5DCCq77bZbwWvCs+/nWLMfvw0Ju4/rpzgwHCBSwzHijw/a3zfQ4MUm7D0pHSQKwqgVwsaJ9EBUE36ftq0IF2/btq3ceuutOQGNV9Xvg0L9lpb77rvPpcX4FGpjzg1DUtI9h6EFQXvnnXe6dABe/J9oFo1oYT9+dAvXyT2kRp9Sxr2CkQXBP2DAABfKH4LRgD6jHdJCdADGC8R3FNxv9E8pop/2whC0zz77RNYcoI0wavqpAFFgHMIgEmVoo114Jp500kkutYV2oC1J3eGZyn3DOCA6yofzYUxjwDPmguhPG1JhoReGYRiGYRQDabL/Tq+eV0xqeioI4yZMnzziELzRiG5C7X0vP5/HQR46wghvG5Pwhx56qFIeMJ60+++/33k/2Z+KZR8MDnh8ESyE/YaRCFnAUOGLQFDDwRdffJFq0u9DygNFzQi3xqOsnl/NA/avh2vHe6rea86FSAWEnkL6BF5s/1yKvSaO5UcMlAPGSFRkx6OPPuoiDIgKISIE4eND+LmGXPP7t99+O3L/CExELYXPGBe0Rdq24nc47jAYLLfcci69gTB2De1P029pIAefyIByrPRFeyIY/bxx7hPuNc6f1wMPPOCELMavKIi8oL0RoqWOe/jpp59cP7J8uUYCRUFKxCuvvJL6WjUto1OnTpHfk2ZBH5YCkUqM+7hj6OcYH+IgIoKxRvpIFIxlDA8YPGgjrouxT/oEhqTHH3/c3QNESBD9UUqbGSWIfh7e3KRYng3DMAzDMMrNfzNEntmtel4cuxjwNCKOovLuAVGyxx57OGHOxBZRQjg13tU48Oyr9xHvHgIMARPWWiI8nUk2Yf0ch0J+7FvhPTm7iALOEa82ObnhvtLAOYQ5+vpei88huhCToXCN4tRTT3Wh/BgJyB9///333eeIFwwd5GUjQsjV5lq5To1q4HhRQo7P/EJ45bimcvDcc885gwXXHLLjjju6/GcEE95PwtwVxCYiHDFEgUXaFe8oReFC6FNENZXOaU89/zRthYFF6zwQRs25EnEQlZ4R129pQBQD51gKXCch5H7aDGODdJeWLVu6MH9ejKFlllkmdj8Y4gqlbWQZI0QFvPXWW65WRBIYGbQt0sB9AEQcVBWanh13DP08jBpSEOknn3yyMwYVAq+91jjBUIoxkmck8FxkX2HaSNY2M0oQ/YTtY+2iM7hBCFvSl2EYhmEYRn0EcYRITQol79evnxN2iGI8j0kh3Hi1EVKkVQJh2YS8RoX4U7CLgmp46Si6hheOXGxCjBU8xNQEQKhxbMQR54oQzQJhyWH6gr7nOybqp5xySqaK7rq6AZXE/YLRGDPIx0bkIhAQv1wXgk6PF1Wpn8/4rlzXlAZywv1q8CGkO5ADTn0FCrslreRAWzBWFK5/0KBBOZHJ/Jtc+igPvDroKOT38ccfuzZM21aIY36rediIciJX6AN/xYFC/ZZWvJay/BrngyGMiAMttggYTTBw0V4Y33jhbSdiJlz5QVdt4J7wawCUOkaIxKDPeB5gpImDc4sTz1FoJEKxVf/LcQz1vMcZbHj+YLQiCqQQ/ja0IQYAHROafqFjpdg2M+aQ+W7z8zu0KiShacUu12EYhmEYhuHTaF6Rre+vvmNnhZB5Jq2EqiaBOEF8a4G4pKhJxCGeQl9Akn9NKDUeTvW+Ilg0zJgQWSqQkzPLsdg/4d5sz2SeCTUTa4QaKw8QuYkBgrDxtPCb0NOmy2jxHeHWGBT8vGO+RxQjxlhtgErqiM3Q84x4pJq9ggBlJQKfG2+8MdcmHA/xh3FD24Mca46fJXQ87pqoH5DWG82cOK66PudHP1CwL8y1pk/pF39+TTtwHbzC1R78MGcVsURB0A5+hAl594Tc6xKQfltpiH/YVhikwuXV8JBjPGDFBAwNafotrbCMW02hEETKsHwcQp0l+3y4BtrTTzdgyUuuk7Byohh8GJfsi0KcpYx7H45PsUmMDRTLpJ6C1lbw4fqzRDto3Qb61K/hUE5IAcIoxSoBnHsIn0Nc7TaMiEQ5aL0TVgmgnbhnMVpSd0DR1JO49xAuBZq1zYwSPP0+hPPw4ub1K4YahmEYhmEUC/qn8XzV84qoXZUIeeuEEGuIMRNeXnHgwUUgIXyTPJ3kGSPwEcr64j3CTavXA4I9nBhrsTENxaXieJiDiycNYZQ1VBiPKd4+xJXCvgnHp64AqQSIEv+8MUogiPk/1w2kGIRQgR3PskI7+WvEI1KJZtA10Jl7InT99uZc+CzLvJRrIrTYb0f2U8j7mwYMN4Sbs4w1c2ZgxQGF9dbD8UI7UKBOxQ3F4MIQciIHWG4NWIM+jDBB5NJe2p5p2orxoFXw/XPxvdlp+q0QaqQqtl4Cud5cO6taAEX4iELWa+AewdCl0A58FnrkaSOW0ktaCjHtuA/BYEXUAUUaEf9R69tz/WGdgCSI9kFs33XXXZW+4z7BQIRhoxR4JuGp958xPhRFJBpFVwoIIeIII4fe+7Qt/c3/fcFfLFnbzCiT6FeiqjuSm2QYhmEYhlFXIUyeSuesHY5oRAQw0U/Kb0YAIvoQe0kTW1547n14T9EyP8QfMcga7SpY+Zd8WsSG741jG3/lAIQSHlwV0GlB4OABvPjii9179sla4wiwQt7SUAyzmoFCBXmMGn66KKHbKj7w7nIMPLtUKAc81oSiE23K97y4dkRLFm8g4fLMZRE0QD47+fNUFy8FhBj9TYoGwofxwQuPvw91HtTrjZinXVgWTT2fRE+Qu648/fTTrpgZy76FeeSKLiVHiLm2Fe1C+8S1FQINg40W46ZvaVuEPpEFafuNiv5RQljheEQHZF3mT6NqGLfkfmt7Mka04CP6A1Hopz7QFnivw8JynDfeZ702H8QzhoXvv/++6HFPpAgpNRgAqJWA8cGH6/dretCvSakfwPOG6vV+BXtC8XmeEN1TDv1FtBDRHFybn9ZBO1N8zy9GOrcJ28yowvB+rHkUF/GtoYRthJ9lqZpqGIZhGIZRm0D84HFEPGnevaJ51Ih7BBLzJMQ1S+QhEHzBT543IktDYBGE5AQThs3a2+THK7xHhPBiW0QLy/kRSkuldrzDGAEQ/FT+Vy8+ggwhhkeXzwjRxqNH0TeK+xUiDLtlKS3C9AkxZl8IMH/tdj90mpcf3o+wRgATts85IWJoE/KjEbZ+WgCecXLFVSQTRRAWwUPQ4QnXddfxQoa57uyDsGP/PBBv6rUmFJ72oi90WUW283PFuU6EmxY6Y911wsbDZRt9uB71eKpYDEF0k0vPeSMOp06d6qqYc02+0CVHH9HFXJsxR99R5wBoT82lZh+0JdeEiPSXwKNdTjzxxNi2opga4wjRR//g2WYZPdpYhW2afkOUFxpXjBkMT6SZpG1jUgw0NUavQdGCl0Qfc90YbDB60VaMefqXfaUt4Me5MA78pTCTxj3vGZ8UV1Rjmi6JyfnQtpwzVf0ZYzw/WILP936naTcMFBiBiBzBWESkBueJ2OeaQ0cszwk9J9J+/EgA7gs1ILIdhkHGPM8RjEi855mBAYB+pvgn0TdpVmrgXqP//PB+TYHhc86J7zBy0EaMMbaj/3lGqDGSFHK+w2BDX7K6BCk+RnYazApjwgqQ1orLoPNvlLoMD2iseRSbKGShM2o3PHBYBodwriweDWXQAJElvivtHKYuKNLsD5FGM4vfx38Nk3/PQ0H/bIzoLjK5jUjfS+Z8P7OBSMMSlrXi97M4h4RHxEUniFywosik3iIzKwzN/bw502UVq1z92kLkrDPTH7tDQ5GJv4kMPG32+7W7iXTqItJzmsg9lWsc5dF1HpERs5cnzjF8uki/oLjzhBYiHWfPWSIZ21xkqYo59C3TRfoEv5/cqnzj8M4ZIr0r6vGMaS6yfOWUublCay+Kc3BTkR7zVf5+81Eiuz44+/2WQ0QW91ZPOnyayMiI/rl5AZEdm0Qfa+mGIm+1yP+MxcPU13luU5Fxw0TWe33OWGpZ0W/vdBYZHlPMuf8gkXZeauczW4psna0WWuZ7fqGIItCvdBW524s+pkk/aynSvqLG0SINRAZUpK+O7ygy9JjZ/9+gscgjCX+q7p4h0qtizIxuLrJio6p5HvreUBwF5A7rmttG9YHHmX7ViT0hxUzEw9z6moDmsoc58Ub1QaoBRjCELiIxDubMiGDEeFJl/dpAMeOQKBYK0qkxiP8juIkeKEdaSV0EQxNGKaIN6hvTE/5OptWhmf9KY3XVsKCkl+X4G4ZhGIZh1C4IL8cTB0QbULjL5nRGWiguiPc4SfADIgWPLikKUasK1GXwonNf+YY07jvem+CPhigPIl38ehhGFYf3E+pRzu0MwzAMwzCMmgFijJBhDWHu27dvpVxow4gjy0oQhLIj5EqJFKqNsIIDBQR9SKPgZURDoUhWNLGInrko+sMcmlK3MwzDMAzDMGoGLVu2dPnvhjE3qI9psbpkopHtuWSURv0yrRmGYRiGYRiGYRhGPcJEv2EYhmEYhmEYhmHUUUz0G4ZhGIZhGIZhGEYdxUS/YRiGYRiGYRiGYdRRTPQbhmEYhmEYhmEYRh3FRL9hGIZhGIZhGHOdSZMmyT///CP1ie+++666T6HW8f3338usWbOq+zRqNSb6DcMwDMMwioA1xrfddlvZaqut3FLFe+21l3z55Ze57y+66CK3JjdrSx955JGx+9lwww1lvvnmk80331w+/PDDvO+Y6LZv3z7293/88YeceOKJsu6667rfr7/++rLNNtvIFVdckbfdtddeK+utt57bZtNNN3Xb8Tt+H8XLL7/stm3RooUsuuiisvvuu+e+++233+TAAw90x2St9bPOOit2Qv7OO+/IPPPMI2eeeWbe5y+++KLbJ8fYZJNNZNVVV5XLL788b5vff/9djjvuONlggw3csbbbbjuZMGFC3jZ///2322bttdeWtdZaS4499lj3WciTTz4pSyyxRKXzUGh3bRv2NXLkyErbsN///e9/0rhx47x+juOXX35xx9t4443dvtdYYw0577zz5N9//81tw3569uwpG220kduGtdqPPvpo+fPPP3PbDB8+XFZccUX3vf/yr/Omm26SLbfcUrbeemvXt7TZU089lbmtuG7GMu1Amx9//PEyffr0TP2WltGjR8v++++fuo1pt2HDhskWW2zhrpVrOOyww+Tnn3/O2+7zzz+XXXfd1Z3faqutJkcccUSlcY7w7tq1q2t3xvA111xT8HyTfvP111+78+I+XnrppeWoo45yn7///vvSuXNnadq0qWuzH3/80bXhIYccIjNnziyq3Rir++67r+sjXtzX3bt3l4cfflj+++8/Ofjgg91zR8eJnpO+5/+MKc6R/+uzh2tQJk+e7PqesaTPlWOOOaZSWydBm+txS2X8+PGuT+OeV0ZhTPQbhmEYhmEUwQEHHCD9+vWTZ599Vl577TWZf/75pUuXLjJjxgz3PaL6sssuc6L35ptvdl7NkDFjxsibb77phPXzzz8vK620Ut73CIQffvhB7r333kiPKAIRYfHSSy+537M/Jtm+EBsxYoQT5g8++KDbhn0OGjTInduvv/4aeW0IVbZFPHBNvghG8CMUXn/9dWccuOeee+TSSy+ttA9ETe/evWXeeeet9N3tt9/u9s0xOPdbb71V+vbtK4888khuG8QLAofz5ViIKoS/ti/0799fPv30U9f+bPPRRx/JCSeckHcsxMr1118f61HGuIDx5vDDD3fH4twOOuggtz8FAbrZZpu5vkBYpeGxxx5zhqFHH33UXSfXRr8MHDgwt82rr77q9s33vBDC/O7000/P2xdCWLfRV5MmTXLfX3jhhc7A8Mwzz7h9duvWTXbeeec8kUa7fPLJJ7FtxXd77723nHbaaa4d6BfGE++z9FsaEJUIVYwV3B9p2hjBTF/Shs8995y88sor8sUXX8iee+6Z22batGnOIIDQ5vzGjh3rvMS+0YxxiXjHMEJ7YxCi7aIMPWl/s+SSS8qoUaPcfcy4veqqq9znCy+8sBP89Cltxvf77befNGvWzBkFs/LCCy84I2OvXr1cH/GiLRo1auT6+5tvvnHbcW/rONFz0vf8HzhH/q/PHq4BeE4h8nlP/+tzBQGPgYH+SQNjGANhOVADR3hvG+kx0W8YhmEYhlEEu+yyixOh0LBhQ+c5RTghNHx22GEH57kcOnRopX0glhFacSCyELZ4jZ944olK3yPkmeyrsCaqABG21FJL5W2DiGdyryCgd9ppJ3deWXjvvfecR1En3wgaPIbnn39+JaF25ZVXuol6mzZtKu2HtsKTqCDSiCrAo6cCD0HFvlUU4qXGi4uQVuF43XXXSZ8+fZzo4cU+8cDSXgoiEKMJRpkoEJ6IOoQyLL/88rL99tvLBRdckCcmb7nlFunRo0fqtmrdurVrp+bNm7v3iy++uIsGueOOO3LbYKAhCkOvkW2JCNB2SAueW9ra3y/GkW+//TbXVrQL7RPXVuPGjXN9SLQAMKbYpx8xUKjf0oLgZQzSJmnbGCMHHnK893p+iF+EsApRjA9fffWVGxPA+MYwxn2knmy2+eCDD9x4UmGOAeLcc8+NPd9ifkPbc29ecskllbzdJ510kjPEYXBKC/1JZATPA4wjCgYE7oO2bdu693jEEehxcC4YbuLAsEIEB/3M8wT4FwPnyiuv7NqzEG+//ba88cYb7vrLBX1NP3722Wdl22d9wkS/YRiGYRhGEeDh9sH7Db4nGhBFhx56qPOs/fXXX7nPEbCIrGWXXTZy/3im8VbiUUQcMeGNEkJ4d33Bjbgl+sDfBs9u6NVHVPuGgDSw3wUWWEBWWGGF3GeEg+MdxCDgh0ITih16rBUiGhZccEH3fwQ3nnhEHKIYVKAtssgiedeFKMa7CfxLGxGu7p8LnyEEld12263gNREqrgJH9+O3IWH3cf0UB4YDRGo4RvzxQfv7Bhq88HiSk9JBosADqxACjTccUY14S9tWhMMjHPHeA8YAPNR+HxTqt7Tcd999zmPtU6iNOTcMSUn3HOMGA0rLli1z27Rr186ln3AvAf3K+GUc+22BsS4u8iXrb7i3GXcYVYgOCCFlh3QTokDS8tBDD7n7ikiBEK4ZwxbGiFJE/08//eSea/vss0/k9xjG7r//fmeUi0MjfOgr/55Sw46mHBCdQtQQ58JYwDDFM5L/09ZPP/103m8xMDLOGTtGdkz0G4ZhGIZRoyA9fOaf1fMqpVYUIbCLLbaYy/kNwfOIOCDU3vfyq0cyCkKImQAzoWcSzqQ/zGklX5lJON5P9ufn5SoYHPA6MpEmTDyMRMgCYsYXgaCGA0KtfY8w3v8477pCqDuijHBkPMrq+VXR4l8P1064sHqvORc8uXjUFUQPXmz/XIq9Jo7lRwyUA8ZIVGQH4o8IA6JCiAjBYBB6molYIGKD3+NJjQLBhzieOHGiGxe0Rdq24neEqGMwWG655ZwopbZAVBh6XL+lgZQDIgM6dOgg5WhPxLeOF/7FkOGLUi2c54+bNGPYJ8tvSDch5YAIEnL/4+jYsaNLUUgLBiGMGeF5KBht8PqXAqlGiPZOnTpFfs/nGFCSniGMX633EILRRFMOMDoS5cJYppbDHnvs4Qw/GFiIMuDZVmqbGXMw0W8YhmEYRo1i1l8in61ZPS+OXQx4GhFHTHg1VNsHMcKkFmHOpBoDAOHUTI7jwLOvIed49xBgDzzwQN42Z599thMXCDrC+jkOhfzYt8J7JtoIEM4RrzZhuuG+0sA5hDn6+l6Lz2GcQEyGwjWKU0891Qk0jASELFOfQAUohg5CoxHfCA2ulevUqAaO5+e1K3zmF8IrxzWVA3KvEZ5cc8iOO+7oxCKpExT2I8xdQeQhwh9//HFXQ4F2xeNJkcQQ+hRR3apVK9eeev5p2goDC7UNCGEnhJpzJeIgKj0jrt/SgDcZOMdS4DpvuOGGvLQZUla4Bwid5z7DUMQ9R/qNP26y9neW3+Bxpy8LjR0igLQt0sB94EcaVAVTpkxx/8YdRz+Pi4hgzBDhc8YZZxQ8FjUS8N4TDUA0BL/VFBWei9R40PMpts2MOZjoNwzDMAzDKBHEESI1KZScnFjEAKKYsN+kEG7ECkJKQ4MJyyb0OSrEn2Jc7777rqsnQNE1vHVMngmXVfAQUxMAocaxEUCcK0I0C0zSw/QFfc93hO+ecsopmSq66+oGVKhH2CsYM8gvR+QSqo745bo0dJvjRVXq5zO+K9c1pc2p9yvrh+Btpj4B9RUWWmihxJUcaAvGisL1U3hRRSY57+TSxxWCI7qC1Rs+/vhj14Zp2woDC79VDyuinMgV+sBfcaBQvxVCi7tlrSfhw/lgCCPigFUGFM6fMH4ENxE3jHGMYYh+f9xk7e8sv8EQQhoEhhzuyTgwDsaJ5ygQvFVdvZ5jQNxxuL+TDDZcO2M1zX1DpIjC9v57jVgICwFmbTNjDsXfbYZhGIZhGFVAg/lFlhtbfcfOCiHzTFrPOeecxO0QJ4hvLRCnOcZRIA4p8uULSMKWCaXGw6neV0S8hhkTHo6HEw8ax2L/hHuzPZN5RBYh3Qg1Vh4gvBoDBGHjaeE3oadNQ6n5jnBrDAp+3jHfI4qJNqAIGKHPiM3Q84x4pPK8L+BY4s7nxhtvzLUJx0P8YdzQ9qC2AMfPEjoed03UD0jrjcbwolXRQzg/+oFQ5jCXmj6lX/zcZ9qB6+BFf0VBmLMuX0gUBO3gR5iQd0/IvS4B6beVhviHbYVBKswFX2aZZZzxgCJ2GBrS9FtaYRm3mkIh8OCzugLGCJbsCyEtwU+jYfxz7RpuzvWGxi4dw1xvFFl+gzecWgh4q4mcIBw9Kv2B688S7UB0x+DBg91YjQvxLxWMi4xFVnaICs/ncwwopFSE8Lwi+gRjlBqkGDss+cg9y7PPX7lCU0/i3kO4FGjWNjPmYJ5+wzAMwzBqFOifhk2r5xXUnSoIeessk6Uhxm+99ZZ7xYEHF4GE8E3ydFLhHYHvL9HGe8SLVq8HBHs4MdYiexqKSwV5vP8+eNIQIlnDhakxgLcPgaiwb8LxqStAKgFC0z9vf8kwXV6NFIMQKrDjWVZoJ3+NeEQqnlPWiQe8/ghdv705Fz7zK9mnuSZylP12ZD9axb4UEEJUMCfcWSuuU2ldYZnAcLzQDhQ6U3EzYMCASqHiRA7oEmtUqw8jTBDztJe2Z5q2YjyEy7Hpe/Xcpum3QqiRqth6CRSJ49qpYg8UsiTnXmGc+VDEkPPTqBn6m3GkXmttC67NLwDok/U3GKG4XxlTrPAR5Z3m+rOId8YRRR/vuuuuyD4gEiRLmkUUnA9FGf1njM+dd94p++67b2TKB4Ym+sG/91nuU5d49AV/sWRtM2MOJvoNwzAMwzCKgDB5Kp2zxBWiERFATnbSxJuJO6IPsZc0seWF596H93jY/BB/xCBVsFWw8i/F1RAHrLWtsI2/cgBCCS+cCui0IOzJm7744ovde/Z59dVXOwGGBzCLGNa1zIEK8ogkv9o9IkHFB95djoFnl9BpwGNNKDqpBHzPi2snJz6LN5BwebybCBogn538eZZVKwUMFvQ3YhOhy/jghcffh5xz9Xoj5mkXloNTzyfRE+SuK1Q1x3vMEmYKxc98Qa9LKGoVdtqKdqF94toKwwwGG7zU2re0LcKWyIK0/UZFf11WLwqOR3RA1mX+NKqGcUt9DG1Pxohf8JExrfsmJ5wIHMartidh99S0IAVCIwFuvvlmOfnkk3P7YExTtE6NTml+E1Whn2KcRATw+9Bwwzn6NT0KtRsRFoxR7mU/SohnBeOFgp1R3vmsUHWfZ9iQIUMqPVfw9PN5dRG2mZEeC+83DMMwDMPICOIHjyPiKVySS/OoEfcIJCb9CBGqVSOMfcFPnjcii210zXaqsxOGzRrg5McrvP/+++/di20RWyznxxJbVGrHO4ywQPAjNtSLjyBDUODR5TNCtIkyoOhbUnXxuLBbxA5h+oQba9Vtf+12hZB+Xn54P6IFAUzYPueE0YQ2IT8aYeunBeAZJ1dcRTJRBGERPMQtnnANN/5/e+cBHkd5ff2jXqxiq7nKvdu4V7CxMcYU00looYb0hIRACikk8CUEkvyTkEASQhJCTSD0gKmmY4yxcQP33m3Jkm1JVpf2e868M9rZ0a60q27p/J5n7d3Z2Wk7O5rz3nvPPfnkk+vVunMZTM12bwdFoBO1ZoSSx4vfhdNWkfO5a8W5n0zVdozFGO2kqPO2bXTD/XEins4giReKbtbSc7tZzlBUVGS1MeM+uYUuxSbFLcUXzzl+d/Q5IDye9HLgsrgMHkvuEwcH3C3weFy+//3vhzxWrIHnecQSEX4/jGrTTZ3H2BnQCed7oyhv7LziOcOBJ5aZhHuMWWLglMZ408sdw0vCyDofTPPn8eLxc7eg4/nsGCZyn/l9s7WkewCM+8XpPNaNfYbr4KADRbdzjrF7As8lDhzw981MAR4Tbic/R8d/pum7zS7DOW4cyONxY+YIBxy4XdxWHn/+Jt1wW3gMnW1yTPZCXXv4u2YGBaP4zLLhYAnPEWYQcPCDzzk9VDaEG6b5szOJO72f3wMj/3zOdfK84kCGs3383jl4wfmcQSRuPwdXmS3Aa+7y5csD9kGET5TPmxMmIoYXaNZ90WyiIXMWceLDiz8v5ExjjCSi4XDXj4B+pnNMkylKBbodB2LM36EmURPd8Od5UXAyXB++BijIAm7+vf/9WqbeNuPKwc/7uA3+ttL1+O33gF+PBPK/CdTa/kG3uO6Z7rG7XB3pDtxxe/jrHhwN5B0DfnmbeT3lSmDUWcDXSoCn6nscBXBuHPCwaU9cx0PlwC0eg95t3YEhgYazAaxMBwbY99CPlgM3eT5fkNFy5+ETFcA3bT+epenA8Polc21CpiuL8/+SgesT678/923gwhfM63l/Avqask+LL5cAzwb5fh5JARbGB1/XwGjgk+6B01iu7cQ670wGPvsHMP1j/7nUw/7eVo8HHro++L788C6gt6v8d/E8YH5kXmgR/+bTiutP//Bc4L+u7GMe0i09gFw7i7RnFPCj75jnW4cA991ons+MBV5q4E/VfyuAr9vnzJJ0YGRM61wPHXhDyBtg1sU6PbdF+8GIM79XpwaZNb4UYt7a+o6AU8vurYkX7QdLDTgIxgEHRsZDwXtmCncOtoSqoz9RaMp5yIwVeiQwSyiS49aVYeYPyyRCDaB1Zsob+DsZrg5Ver8QQgghhKhLL2d0jTDbgOm8kdTHi64NzQVZftKYcKVIYdYHSxSCdRXozNBkkBk37sh8uMetq8LyFV6LOuLg44mC0vuFEEIIIUSdGKO5m5O6z3ZnTMkVIhwi6QTBVHaWLDQnU+hEhN012H2gqcetK8L0/scff7y9N+OERqJfCCGEEEJYsF7X25pMiNaiK5bFOi0TRfjomDWfrjW0JoQQQgghhBBCdCEk+oUQQgghhBBCiE6KRL8QQggh2h2nNZYQQgghWvbvo2r6hRBCCNFusE8zjbzYez47O9t6rfZrIhzUsk90BHQeitY8t2iomp+fb/2d5N/HpiLRL4QQQoh2gzcy7D184MABS/gLEckNMSNgPIcktkR7ofNQtDbJycno379/szpdSPQLIYQQol1h9II3NIyW1dTUtPfmiBMECq2CggLL2burtX0THQedh6I1iYmJaZEsEol+IYQQQrQ7vKFhf3g+hAhXbPF8SUxMlNgS7YbOQ3EioDNTCCGEEEIIIYTopEj0CyGEEEIIIYQQnRSJfiGEEEIIIYQQopMi0S+EEEIIIYQQQnRSJPqFEEIIIYQQQohOikS/EEIIIYQQQgjRSZHoF0IIIYQQQgghOikS/UIIIYQQQgghRCclFl2M7du345ZbbkFCQgKeeOKJgPdmzJiBxMRE63n//v3xyCOPtNNWCiGEEEIIIYQQzafLif5ly5bhrLPOwttvv13vPU6//fbb22W7hBBCCCGEEEKITp/eX1lZiVtvvRWxsbHYuXNnvfefe+45TJ06FbNnz8acOXOwbt26iJZ/xRVXWFH+YHz66af4zW9+g9tuuw1Llixp8j4IIYQQQgghhBAdgQ4V6afIpygfPnw4ampq6r3/8ccf49prr8Unn3yCYcOGWen3Z555JjZs2IDU1FRrnilTpqC6urreZ19++WX06dOnwfVzsIEDCuXl5Zg0aRJeeuklDB48uAX3UAghhBBCCCGE6KKR/pKSEjz66KO4/vrrg75/9913Y+HChZbgJ1dddZUl8B966KG6eVasWIHVq1fXezQm+AkFP2Fd/7hx4/Dhhx+22L4JIYQQQggh2o/SivbeAiHahw4l+seOHYuhQ4eGfP/NN9+0IvkO0dHRmDx5MhYvXtzsdW/cuBEPPvhg3ett27ZhyJAhzV6uEEIIIYQQIjTHyyMX5D4fsHQjsGFP4/MeKwV+9V/gew8Ci5YHLoMPITo7HSq9vyEKCgpQVFSEnj17Bkzv1asXli93/XobYdGiRXjxxRexZcsW/OlPf8K3v/1ta3paWpo1ff/+/cjLy8NFF12EmTNnBl1GRUWF9XDgdpHa2lrrITov/H59Pl8zvucONc7W4fH5eJyj7EcLLRO+gOVxHdbX6Wt8PfxsbW3g3YG5WQj8Xs35Efq7tq4V9qpqQ36+Zc5D9/b5XOtte6LrH/MQ71vzWNdT1+sQ3493vsBlub8v/zRnOY19Tx2fwHPZv7/19zXgU9a542v2OdP866EQzUPnYOeAFb0/fjQKNbXAzy7z4eARYOyAwHm27DcDAwNygM92ASePAtbuBB5921yr7v1KLVZsBfYXRuHkkT7sOQyMzgXeXBuF8YN8uPelKBwvNxezRSuAsybVWgMBv34mChMGAZfNDn5N3LAX+M+7UbjiVB9G5Qbffp2Hoj0J97w7YUR/aWmp9b/XhI+vnffCgeUBfHhh+j9NAsPhrrvuwh133FFven5+vuUHIDr3D+vYsWPWxZ2ZJpHTqxW2qvNy9OgxAN1bdJnGL8R/6SsuKUFeXinKY9KBmKQGP8vBvrzjRwOmFUcnAbHpAdPyD+cD8YEDlN5BzCTUhPw8Bx5b6jwsik4EYrvXrTfdXm+bE+8/94uLi5F3rCzk+6Sg8DBiK/1/yEJ9PzwOeb6KoMvid52XdzhgmiVoo/wlZUAaTuw/9DF1r7lv+fl5dfvqfd+hqqoKeXmFYZ8zeSHOmeZfD4VoHjoHTzx4nVq+PRk906vQL6MK2/PisWpnMqqqTcvs2/9jLtD9MysxIKsSiXG12HggEXsK4gOW8+QHQN8elby4W69//1wVduQbjfDG6sCRylc+qT9yeeMD/vPl/fXAtIH56JZQXzz9eZG5nj7wmg/nTypCfnEskuJrMX2IX3voPBTtCe+pOpXoT05Otv53R9id1857bcWPfvQj3HzzzQGR/tzcXGRnZ1sZA6Lzwgt7VFSU9V3rwt76dO+eDluytRgxMYEiKDUlBTk5KUg8HgVUNfxZDjLmZOQEfp6XJI9+zc7KBkwCUFAyMzORExP68zk5getoznmYxnui0vrrbXNcYyU0Xs1JSA35PsnMyEKOa7wn1PeTnp6OnMB7wbpl8bvO6ZETMC3Kde+XkpKCExnvd899y87OAY4Ff98hLi6u3nnclHNG10PR3ugcPPFYvgV4dW3j39Xugnjr0RD7jvjfdwR/UympzcIg12Xx0FFg417/66qaaDyz3P9HacygFAy2x6p1Hor2hF50nUr088aDN3eHDh0KmH7w4ME2d9jnjX+wtn/8oevH3vnhhV3fddsQFdXyxzjKk+7MdVhfZVR4n42O9n6+/nyNnRvm/LGfN+HzkZyH7u2Lcq23Pak75g3N49nWYMc52Hyed+t9X+4v+sT/DUc1sr9RDZw7US1yzuh6KNobnYOtQ3UNxSwQHxc4fV8BsG43MHs0sHoHMG4g0C2I5mB9fkIcEBNt6u6Zin/Naeb/jsiew9EYP8g8r6oGfv+CKScIxe9fiMYdVwLZdqKezkPRXoR7zp0wop/MmzfPatfnwDSalStX4ic/+Um7bpcQQgghhBAnAoeOAMcrUBep3lsAfLoTOGMCEBtjvGbufcnU0c8YAVx1mn+A+on3gG0Hgec/Mq/7ZQFj+wOHi4Adh4DLZ3OwELjvJSA+Fvjl1ay7N/PesqPxbeveDTh6vP70WaOBob2B7QeB99Y1fd9/9DngrqcDl/vBemB3vn8al9+Q4Hd4dinw1bOavi1CtCUnlOi/9dZbccYZZ2Dr1q2Wy//jjz9upW9ee+217b1pQgghhBCiC1FUCvy/J4DKauDua4FkVxLoR5uAR94CRvYzwpkZNIyeU1yeOQlISzKRcgpvCt2mUlkF/P11YFgfICcdKK8EZowEXltpatUvnWW285RRQHUtUFgE3PFE8GW9+DHw08uAikoj+J39GJgDKwpOoU/B72bvYfNw+PPLrm2rBn7wr/D3hceBIvrXz/inXTgDWDDR/3rqMCApHsgvMgMNzCT45kKzbRTvDjTxmzUGyEoDEuOAx98B5k8AcrOBb54DPPoOcNVcoFuC+RzNAQ8UAundgFf98cUG2bwv/H0Tor3pUKK/srISCxYswNGjpvjy8ssvt2rln3rqKev1tGnT8NBDD1nTk5KSrHSG1157zaoPFUIIIYQQojWgKKQ7/GWzjehkNPyfb/jbzD35PjC8L/DWGqBHCrDebiPHunB3bThhJHtMf+Df7wI9uwPfOteIV0bGOXBwtMS0mKNTvQOd7fm5TPuWt7wK+MsiYOsB85op9w5cxgvLzPP7X7HnrzQCfn9oD08LimOm7Lt54n3zaCmmDAV69TDH5ZwpQN5R4NWVwDcWAn0ygJkjzX7yPS8cPLlgRv3pzDBwi34eU4eyvcAVtUBOf/N6zAAzSOMMTDiwDIGZ0syCCIeySmDrfqCgGNiXl4xZiQjwohGiI9GhRH98fDzeeeedBudhKz0+hBBCCCFE56e4DEhJDO3tEQxGbRPjjQCPlLxjQFkF0D3FpL1ThP7lZX80mtHnv73ij4Y7BnV8WOs+0vDyP91lRLhjGHfbY/73fn4F8IsnzKDCzy4HstOMuHzmQ2DZZuA75wO9ugM/eiT08p9aEjwVPRyYok8R3tK40/bnjTfZA46oZzbEqWP98159WuTLp1ifNATYvRQ4lg6U7QYSegHR8cD2G4DYXUDpemDgj8381SVAbIoZaOndw3xnbvO+r51ljiMFfUOw9t+0OE1D/161Ev2iw9KhRL8QQgghhDjxYXdUT7OUBqHgenMNcPo4oGcP/3QK6z+8AJx2EvD5WfU/t+twHA6WAhNcns7s0X7XUyZV++xJJqqe2UBzpVXbjditqDKDBU703IEReYeV24Bpw4xwJ4N6AjsPAcG6vDMlfk2QOnYa5G0KkRq+eLUR/ITbxHp4/u/ANPZdDXd1bVSoNgYj3TSo46AD9+13z4f/WZYYXHyyyXq4+R/+6RT49AvggRqQHfiZI0uBw48Dg+42QrxoNZA0CIgL7GZbj8J3gQM3A7HHgcQbgFOPAj67NGD3/eb/6u5ArD2IUfEIUHgykP81/zJqxwOnzwQeS/B/p0N6AScNBD7eEvpY9ss0XghuRvQN6xAJ0S5I9AshhBBCiBaDQvefrwNXzjH15eHw9lqTns3Hn7/mj+o70fO3PwXOnmKEOWu06RjPnu8Pv59pvf/1c4DiUpO6/eEG85ljx01aOqPAt13qH0zg51ZvNzXv3tT7xmAd+S//63/97fNM7T4HDtywNp6p6r97ztTBTxsOfLy58eUvsbedMBvALfhJY4K/paAHAEsOhvQ22QcsDaBPQCjSk4HrTgdG9PNPY1YCfQJo9MdsCS6P7PkTUPwA0P0WoOeVwMEbgOhaYMcPgaodQMx2oIYR+L8BviogdTIQZ5c1lKwD9l1SX8iU/zP4djmC38Et+En0GiBzDdDzUuBQbzON5QM8/9xeCynFwPFkwGcPZM0eA/znPf/7/TIq0S1Rskp0XHR2CiGEEEKcYDAaTEHMqCTNyjoKhSXA3141zx9524j+IyUmQk7hxxT1Mbmm9pkmdEs2mrTsDS7xfevDwPThwMKpgXXayzcDzy8DUhOBn18JVLvqsf9qp9/TGI8O797IOs3rbrnItJH79zvAzmaKZ0b4v3ymWR4zEGjQx7r7H1xiItosRyBfO9uUJ7D2PxzR78btKB8MHiMeT9I/GygsBkoacZ2/5GQzkMDvg/Dc4UAGocHghj1G0M4c4f8MfQcumG4MAVn3/vlTgNdXm0EVh7uCeGoz8j0iSEVuyf1ATC1Q/GvzcBqO1b4JOMkhMdVA3g3mOQ8DBwGiRgO1GxsXL9VM688zAwnhsuAN4NFrgLhY0yWAOK0IM/OBL/zblA08eSkweAcw/mrgySh/Vka3hAhWJkQ7INEvhBBCCNEOUCQycu12ffeyfrdJk1+xxaSpM4191Tbj/O5Ewb+8AJg4BO0GhQ9FN83rGEX38qcXTfo+zeXoYG/smf089UHga4rkxWuMWZ03g4A91DmwwAEARvy9eAW/G0bdI4WinuKPke/544FFK4yAZwq7s35GhG+/AqDsi/OUNPCzjnj8znlAUgJwt6tlXHNEP88b1p6znIHp84xOU5Q7LfIG7AD29wGqXOcXMw5YdkBxf/IoYHBP4/7PKDyXQXEfiitOARbkAD3HAKeN82cxZEYB6+YBCeOAofcApduB+Bwg/wUg43SgqgDY9TUgNh+IOTsyMQ7XIADW+gcIQhE1Fxhjp/ZvuAiI3gDEnAv0vBrYfT0QXQak/wjodTmwYR4Qa3ceSD1uBmq+frZ5XVMBpD8HJPYALnkWYOJJ92PAFx4HUkqBfdcCd/0O+KFtlBgfG6zAQ4iOg0S/EEIIIUQrwlph1rhTsDPqzUgwHeDprE6R+t0LgdyswM/Q9OyTrcbALVjqtxuKtr98HW0Co72pSYGmeowUu93j3XAfKfgJBX8kuKP8ZLPLOO8xy/e5MQkYHl9aAOwvABLigec8hne/vs6YvTnQxM+h6hhQvhs4cB+QNg/odVngZ2urge23AAlDgfSTgR67gOyLTNo/zQJ/8nng3pfMIIYbDhxU1TRuCDh9hInwjxvkn+YYF05dBpz8EXCwJ/Dk5f73KWz5/f3meiP0KwqBq2YD8a8DW8YBvnhgwGNA4WtAzhXAkcVA2Qag7GOelEBsCXBkMlCTD5yzFyjqDaRMB2L3AzX7gXXjgViX+/2xXwJRPr/gqLFFcihqYoCRa4CNlwAxm0LMEwdEjQDi+gMVK4HYg0B1HyD3t0DaZP98Qx4Eij8BMueb12M85QljPgCKPwX2fx6IqwS+tBSIPgTsTQeOPQpkFgLXJAFJruwJCn4SvQ7YfxYwbTqweTgAOztAiI6KRL8QQgghRBNhJJ61vYy0XzzTRLpZn3642LiCjx3gTz1n/Tej3owQM42YEW3ywkeBLcZYH/731yLbDkbAuczG5qFZHkUiI9hO+7dweWk58PIKkyJOcTmqn4lcH2nAOG7tTrQJjLbT7O+5j+q/9/PLgfsWGbO9eScBT7sGUj53sikv4MOd8s8xjZG5gYLfWzKw+Ux/zfixd4Hs84HaSmDzGUBMMeA7CYheC5S+BpT+2cwX2x249XMmy4PfwU8uM9keD7zqX/+o3MaP2+ShQPybwLpfA7ETgeSJQO6NQHIREFcBTFpl5ut1KDBNn4M1RcuBxIHAxotMpLv7YMB3AIjhoEyZv2Z+1wP+z7oPQ9Qn/tfd9wHVK1zzedrdUfA3RtptwLFfmGMePx+IjgWGPw7svx/IugioOADUHANSJgG7fgxkXQDkXGh/D9VAdTEQ7zJ/dOA0R/CHInm4OS+4bt97QLldp+/sX5L9Gw3FzGXmUROdiOKBPqRPaHx/hWgPJPqFEEIIIYJA8c6U9S+e4U/lZso1DdYYYWX9NMWk47pOkc9UbreodEPBT5i27k5d5zqYMs50bbrVRyr4CVO8Wc/uTbtfusH0e++XZczY/vexeThGaxTLFINemJnw7jrTs93xDKDgJ+7sAy7DqQlvL244oxZjB0RbEXKv6J8xwhj4/eIq/7TcbNMR4OSRpn0cqSwwkfhvzwcyugEJ6SYbw03+/4C8O4C0q4Bu4+ubxG2dGHhzHbW2/rbmfwNIXQok2CKV6+CDtf8fnw/k5AEJ/wou+jkYwLR8wnOt4PtALKPQHwKlHwKb7IGFL8cGiu053YHB9wJJNcCmO/zTne2kcV5ziA2R5eHGx+yAQiDW7maQcjOQuRCI722MFsnxlcCgX9rLTAH6f888T3aVroz4V+ByOUAQTPBb6/QB65YAsfHAyGn+6YUHgcRkoLICqDgORM8FfO8A1Tn2DBy4qAJi7ah+OMTURqHgGYl+0XGR6BdCCCGEcMG6aEbNnX7nt9jO4EyHZoQ2FE4tdVNgKj/rrSlGI2Eia/y3m/p+r+jnQARbvLF13V3X1E8X/+P/gOgo4IefA/pmAgVFRuAzDf+fbxjh+fQS4KbzTV/1YNz7YmCP9XA4Z7LJFHhxuRlUcKfxX3Eq0D3Fnx1BuI0cmHC2/96vmDZyjIzTNX3i4Ng64eikxs8ebdLfOeDhZVgf4M6rgbRkoHwfcHwdcPjb5j1GfA/HAINeMqnm667kKI25Y6bI541z6d+ACPRgPbbMBqLHm4g5qRkC9Po+kGubGcY8Cfy/nwI/e9y8TiwFYmuAyRkAXgVKUoBYtsALYdoX5zI4JBNcQr816fcisPPzZruqBwHJ04DKJwFfFDDkPiAuhDgnPa8ADtBPwDPQEg7LFgH7twELvwrs+BTI6Q+kZwIP/QwotQekdm8AJs4DfLXAf38LJKYAUdFAWTFw2U+AbNsHwM26qUCsK4sl+eum28C++8x+eRnYRsc5Uo4fM4McR/OAjD6BpTmi6yDRL4QQQohODdPomdbO/upMpd5ywPQfH9oHmDcO2Fdgpg/sCazdEVq8NyT4gzmXs4b/yffDm58lAu4WYN7e51fOBYb2Ar71N//0KUONKRtFv5MazrRz9g+niF+x1UxzXNbplu+F2QBL1pto82urgveWv+d/obebn3/nU/9rOr8z8k93eyczwMv4wcbD4JTRJhrLNnTMVKAT3tBVQKXLOZ789lrg4DPAB/2BudOMseENC4B3P/VhQl+OBGRbxmsxCaaEgh4KZ00CylcBUVnGlG3LDaYGvHwxkDAHGHwXsGEBEBukZR/T3A89Dhx/BohtJL27Oh2IzgVi+wC1r/unU8jHbAOqKdBLgpjSfeJ6vS2wlVzN/4DiJObmm2Ny3cNG9Mc8CCyw5yl0pdFXxwOxlfbzhPop9k0l+gyg99eAlDHA+gtMjX1tNJD9WyAmHSh4Cqixs1K63wl0GwYMeQXwlQNJts/A7lQgpkfDgp+8/wzw6btATi5w+tVAZp/Gt6+2Bnj738DGj8zAwgO3mOnMcrAePLb2vFuXmYczrcoeDODzFa8AZ3+l/vJTLgbKH/a/7nsjUFIIDLoDWPdaYKZHbTh1DDY11cCBrUCvwSYLgVRXAlEx5tzmOjhIMWI6ENMMpbZzLVBeCrz9iH/awm8B/Uc3fZnixEWiXwghhBCdmj8vMmn5r9t1zg50wKc4/9V/TV1vU2EU2jGrc7jqNGOY5hX9f/wy8MonwKsr/f3NjwUJGzMa5zjhs0+6E51jm7jDx0xNN03ZCuxI5KEjRoC//IkR26fbaesOldXAQc82Ory3zv/cK/iDwfr3a+cBDy4OnJ+Ce6Tdp53bzswIRul5bLhthyiUqoHYz4Bj3YD0qWa/WONOV/w+fweK3gOqMnkAzXK+MBc4+H9A5ePApBwg1x4Y6R4DnDfRh22/74Ytj5owf0080Ose4PxTgS1fpfMh4JS08/BV0/SN8y0CNqwLLvgdKh4LfpMccyZQsRSILQKquwPD3/D3kN/+I6DsZSDj+0BvVznB/n8BR/4B9PwREJ1sUvwbw4okfwfoeQhIsAW9mwzbEK86CRizCihaBSQNBKqLgN1nNrzs6AX+AYqUW4DqAqD8Ibr/AdFppnVe7ShgxL3+zwx9CCj6EMig+76dVdFjljHCO74B6Gn7ACR6DO2cFP1gMOq+filwZL8R/NTNBbuA//4SOGkuMGImkMRBk3jAR4H/BLBrdZD9sRbW8D43FNzeudqIbkeAO/T5GrDdJfrf5QDDh8D864GcHwMFPwB8Y3iu+5BwBX9c6SH3k1kFDh88D6x/yzz/6r3A2reBpc+a19f/Bnj0p+Z53k5g7heAdx4HNiwBRs4E+o8FklOB1EwgpYcZ+PjgKaB7T7MPo08BEroBr/0d2BHkWO3dCCR2A7JzzTZVlgHxHGASnR6JfiGEEEJ0Ot5fB7y1FpgztuHWZ3f+t/nrumy2v16fnD/db5J30wXAPXbK/tfPMWUDfJ8PCmNG4X/8aODy/t8XjMN/aTkQT6fyqMB0fgdG9ePWAGe9DiyeCxwo9EfXmdng5rG3G25nFy5zTwIunWWenzEhUPQP7wNs+TpQuQwY/AxwtstJ/Y2fAzPtjIGil4EjMUDyR0BNEbDtSmAYI8N2PX5cgf9zg3KAI2+YG9bYPGDjF/xp8ZR7UUjxC/JKI6gPDm68Tj3WUzNP8dzrt0D+g0DtGtvUziZqjhGdwx7wC96aUiAq0f+aMHsAfHjoc715OOQzjX2ZiU53+yZQel/wbbzwWaCkEbPFJLvFXJrtJ8CIes1wIGZz6M8MvhvYlQZ0m+gX60fnAiljgag44MBDJo3dDevmsxbWX1bqSebB6HVpMZDaSER/9dvAqteA8fOAj180x5V4Oh3i03fMoyWJqjXfa3WQVo9H84GsvoHTvNkJFPxk+UvAlXcA3WebeY7m+fD2v5PQbRfQy9VJgSz7H/DZO8CFtwCZfU1WjSP4yWO3Acddg3H/+oH/OYV++lzzv7X+pebhkJ4DHGOGj8+0QayNAZa9AMy4MLjgJ2s4ULcYGHkykL8bKNgLTDsPmHgmUMOBjwSl/3dWJPqFEEIIcULCtHaKzjMnmhr0ob2By081Nd1Oqjyj6s2B6eocQHC4fLZpu8fI+dufmjp61ohTjDNNfVIeMGIxw+F+IXzfV00LvozUINH8NcDnjgFP20FC1t87xnndaoHddwJ5a4H4UUCvLwEH/gxkXQHsvxmIPWbmYzZ8dFXDEV4n1d9pUfcPVyp6Q7jN46KrAx3/ue80NOSgCo9B9TGg9m1zc7nrJ4BvFVDbFxj1OpDjGhQhFF+bzzG9262bUZfLPPnmX4DKDKDXDcBRlxeBX/CHJlxjuupMYNj/gN2/Avp+GUgZadzejywF8myRnvwNIPfbQdaRjCYz+D5g+01A5oVA91OBzf8MXkYwwD7uDRGfW3/aiCeA0i3A3jtN9wDilBlwn6OTgMG2YZ5DfiywfzUw6hQgbgHw718Bp1wCDJ1iBqdWLQaS04xIf+cxIHsAcNIcYITdwvCD54BP3wfO/qKpp1/zJjD+dKBHL2APPTKSgR45wJKngWgfsOz5IDvjROvDFZ0h5qe4TywHZlwFbFkNlKwxvw/Hpb8k2ZRLcNCl1G4/+eFzwPnfqr8K1vGX3A9sdZkJHssPHBRY+mwUDm5OxHO/Bb72Z2DtW8CHz7hEOYD/3mm/5xngoeDn9iZUANWx9Qcklt7pL1eIqzLzUNxb22Evu9txkw1S0g2oTABWPgkk2J/hcaiMB0qT/ccpmr+9903WTUol8MlzZgDG4Ywvmu9ddC4k+oUQQgjRYUX93sPAQqYde27smS7uuNx/bEc19xcCu/KN+HZw2uI1FRrOMVWekXO2d3NM6yiEWP9OV3ymsTPtnmwaCTAbe3+2P7rLaHDNO0DlyUB8JlBTBlTsN67kB78M9K0Fhp0FbBlhUvYJI+YU0IT3+DXbgX12p4C8xfVv4IZsA+59s37revaVp5mfA7c5lCmfAw0FnWP6pTOAj7cAhQ8CI18Bah4G1qUB/f9oIrxfmQes3gOMTgd2zPQvI2ql0RjRe4G99xgzOi8U/KGIpXv6IWDDLPO8SZxiRLEVlY8G0ucAcVnAforhbGDwbeb7GPq7wI/1mAmkrzffUZJdrtAUjhw03z1rtSmWKQIJywFG2OaQhOn5PG+aQmIQt/g924A3HwEmVgPd7Glp1wDJ44A3FgNb7gNmLASe+z8j8OKTgcUPmvm69QBetrsAvPEg0L03cHA78NFzZprzM8zfBbz1CFB8FEhM9afnv/IPE3XmfEcOmei2EyFH/dOzDgrfdA4aRRujQopbDg4E4DNive8AYP92oBu/Vx9Q0QNITwfiKoGKIqCKHhY+YM0/AtfpbHtKaeDgE9e3b70xvKsqN2nz5O3HgK2bgKjZQDx9GJxRA1aOPA3MuAgoOmxS5h3u/6b/uSPKHR6/27XeanOcuH62BbRaBjLjoDvgi7b3le0IY/2i3qGQ2+e6HjrvpRwHjsSZ/90kVphBhWPp5vh2twcLa6LZdcCso8Z1QeG503MQEEOviFjzP70GxImNRL8QQgghWhyK4n2FxoQuWK9zprWzbR3r4fn8b6+adndfOdOkwHOaI+oZIaeQZ1s7tlkb3T90b3i34G8KdHX/7wf+tPUe3YAFE4wpH8UyU+q3fJlF10DCCGDPdmDwH4DynUCBK1p29DmgYjeQOhko22H6tBdyX34L5P0JiNkDxF9sbvzJvLfNDX8GHeNnArEep/3GoEBKKwKKXO33oux0fNbsR28DxqwHLrrOGN5d/AzQ6yCw83bg5Xz/AMcvrzKRz/EDjQhJSjAlEptsN/1omtKVAPs/71/PoEut9u4hKXP1e48U1s47VPcDYvsBKbOBow/4Mx2qB/kw7KEoVB42pQClthP7kD+a1m9e0oNFmT1QrDuC/+ghICYOSKV7vs3BHUB5CbB5GZCUagTg3vXGIT0+EeiWAbzyF//8HHSYcAYwZJKppw5Fdf/wWuCRinjg1UXAFVOMYF35GjDlbGDR/eZ8OHLML/p53NbuAwqOAL6jwHMb/MLepWXrBL/DU3fa2x9iG5bbJRt1mtAl1DkwwEcAdvSZnRGqKCZjgbQ4IJ6Cm2nqHBw5BhSn2mI0Bpi2EPh0EZB01Ihl+gi4k2YSjwAVfDRyvCiWM1y/K25qfBXQ4whQlAYseQrYZnttxKUAVbYBYzfWvVeZSDsHCHgwGM3nw3t0OPBAsV6WVP+gVW8C0iuBcp4fwXw8+PkqE63nQEBSOQ0C6w9+xFcCVXFGyFckBL7nLkvxLtsR+3Xz1ppj4F1GbbUpOwj4fDQQG2d+B3X/x9vP2dki3vOe89w1cBDrfT/UZ+z/2Y5RpQYth0S/EEIIIVocOqjf/4oxdqPB29ESk7rOm7itB4Df28Lr5guA37va1K3ZCZw0ILBP+eOu2t6V20zLNxrWRQLT0Pfkm6j9YrvenXX1WalmEIFZBeWVRvieMwVYs83M0zvDCMAhdju8vX81BnGkYrn5fztrtD2wprpyM1Dwn8Dpheytbj+vss27nGjcRc8DVan1Bb/7xr+6GxDdH6jNB+InmfrsTXS0rwYyCgNFf2aaGXBJiAUueMZEBHfYtd+O7kylcDnJPGeJQvVRYOv1QM8LgJpjwEZ7Hxu6966MwBch4Sbg8CtA6ib/NAq7ITSPKwN2/8L0na/hzb8rwt/3OSBllP91xjxg99nGNX3Q33yI7xmF+J7GaX5PFBCbGVzwh6KGjv07jKO6u06//DjwH7sV2/BpxkhtxSIzEOBmz3p/2ncoMzfWsvNxwc1Adj+gotRE1vmbqJnKgneg/++B/Z8LLvAp9mrYKcBO+/9oOlBTaIzc1n9gprH+2/muyuysEfLKS0AFPQisjUG7QVGbbI8QJWUCPorgPMCdzMHtT3MN6u14GC7nhtCCnmK6zwFzrN6ZC0zdBezrDnwy0mQEMJ3/oueA9CLgk0lASgkwYrNZHwciHMFPHMHPY0XBT/h/ajFQbJff1G1vrRm84/JT7c9RsFfFmmmMrnPbKNL5Ow4m+N2inQMH/Dypl+1gi35uL7MeeDy970UCt83KLPBuRxxQUxV4/lZVmEebERV6QCBg0CHIYIIz4BDneh7L167ndfPaz6NjOvcgg0S/EEIIIZoV0a+qNm3w2NP9qrmm1tvpvb5xrxHUTtTe63TvFvzkwTcaX2ekgt8ZXKiuNa3pHNGfmghMGWaen+ISlL0SgK/+06SkH18M5LNOeRaw5Twglq3lWgne6Ds3+47L+oDbjICt2Ask9AsUpA41iUBMCdDjKFA3VlILnP4OkJ8KJMQEd4Anvd4CvvMW8PgVJvV/1x1A9Eag2E5Zbsl74JqhwM4ewMZewOQDQEp/E7VPGgIk2IMqw+4HitcARUuBUjtSXp0YKPgJW8LlvlGLw/sKkdjPFYIHsDYJ2LcK+Nx8IMNebkPQzOyDZ4E9m4FRM4DaSuOKzl7uHAhw2PyxeQSjIcHv5YXfB76meVp1KpB+MTDClebP/WbPe2vdw4H8LGDwCKD3f4DKbmZghDiC38H5zg5nAcPswSsK4VAE+47d0f+m4P08U8mtunTXeVhW4PlMNPDp2UCvj4GcEMfzvdnAwV7Aqe8BPY8ACdcDL+4A8nJMijoHvxwh+z9X2z+Kb/L2aUBOHrBlmEmb77/b/OYolstqTL08y0kovhkB94rouGognu0ha0w034nIB4Pzugf1QrFjINBzMJD8VuhluXEGIbzraGw9wXCOi5vLbwN69DZCnwaN1VVmAID/W88rgepq+39nmvv/SvtzlUHe87wfsFz7/7pBKZ+9DJZtoPWJiq4/GDB8KjDpLHQKJPqFEEII0WQeXByFz3YZ8zxy3yLg9zcAya6U0eddjtPe1nbNhannjN5X1wBPvGfEO8sK6GQ/IAf4ZCtwwxzg0H1A9uXAkQ3AV/8FVMYCQ1016EWfAHtvB6KSgNrD/hr06A0mOp8/pHmCn9H6tO8CJb8PTFfP/T/g4F8B37uB8/umAAPv8JuFJfUPdBpf/ZZJI2erLjDyyEwK17GdsxLotQQofB+4IIztu/y/xv2+8lDTxR7bvLF23XGOH7wU2HwGEHMciL0IyLoWeItGZvHAsunAt1wt4RyiGY0bCfQcCuxw0uNZd1wJHNoFFBcCI+3MikS6rVfXWHXV3e3SCz5nWzfuA1u/MfqXOwpYcIOJ5JFtrKFfBhzcaqLtDnx7s6v+vEnHwDFLiyCaXl3hHzh482GgdATQKwbYOhaYamdRFDGfPRrYvgXYHqbJWlk3YNUEE3EOWUwfQqRTOJOEeKCywt/33pmXRLn22S0etwwBJpYAZfuNOOZj03Agq8Bko8AzGLBtCLDSNr4sZ1r8QiC2Ejj7VbNeDl4wrX7/NOPtEVUNDLkJmJ9tDBWrBgBTsoDYaODO1cDRCqDIFsb9ugEzcoC+yUBGIvCrVUDuGOCmQcB33jbLdSLwTH8/xq4Gx03qO6Pp/J/Q8M/JUHBq5sMR6OGwbgwwJgvwJgCM/wKw5vHmLXvQacAO2xskGDy+ZOhkYNQsIIGGi709IriBAaPWGESuDTbQ4BlUaHQgwv2/53lNFVDlLKPS3xrVymZghobrey1zMj46ARL9QgghWp0++8yN1Jbh7b0loqVZtT1QIpbbN1HbDvin5bvqskORnQ7ke2pOw4Ep+ozeO+3xKPx6/ACYnGs8Apg2Xny7eX/X34DqDCCxCGDmc97lwMGTgCEPAPuuAmLsm79g+ijGjpgS3wSgZg8Q645UzgASRwIlTwLdPgekTgXicoC9dLE/BvS63TjD52UBNRVAz8v8Ufu0vwFLTgaybEHECG7P3wBrlwMjZwA7PwMGjzM9y8uKgef+aLt+2ynLc+z9H/8psGOQMewab5cghAuFWdUzkQl+9nin6/1nXwYK9wBDfgscu8X/Pgcshr8JfPg0sO5ToPZev8jgdu/bYgzkeg4EzvyKmf7Ja6ZOnH3as53jXQu8eC+wb4dJo6ZB3swLzPQ3/5qF8pJoDJoA7FwDjDjZJU45WFBh2pf99y7Tv/zgFjQJClu38LWUr88cNwpG1lgTy3yNqdEcQaChnT1PlD2Pc46FYhuzWPoC/PnUFgAfT7GjzkkNb5f13DZmc3MkMAkiLKzFRQG9xpm6+4IVZhrr7flIqAosHbAEfxTw5jwg8zAwbTmQVARE2ZFyHp/Jq/zzcwDjUE9gbz9g14DgKQXV8X6X+tJTgW/OBHLt8iAvl7raWP7NbifJrB7OSpNNN4/PAxJ5nKKB3iyFiTK/F2bJEKb+O7iP5YaRwEmfBUbZQzHlS0BaXyB1GPCVN4Epi4CettdIxhCg3zRg86tAuV3Gk50FzJsH7DgOrHvav5yetmmom245wPEIfEuGnQn0Hg98eI95PWC2EfM7XYOM878IDOsgbv38fjlQx0dbDzJUBxkgSHaVS53oSPQLIYRodWbb6af5vItvRqsr0X4UlQLPLTWt6tgWr5vH/MnNbY8BhY1ESNiHntF5h3njgCffj2xQgE73juB32H0XUPOSiZoFK52N9UQaoymUZzYaCLWoyAWSfwUMnQpU5gO7fwtknAV0n+tKu78VqCwDtq8Fho4GRi8CCg8Az98HTI4Fxl8MlBYZMcp6efY1H3QSUMbfhb1t1TEmSk0+tr0P7A6EdbiN00qPW8Fziwv/BxzNrK+jyrONB0C3XKD/94D9DwPFQXrKexm6Eih4FTiyEijsDYy7CNh5MRA7xgh+8g4F4FDTeu7i7wAHfgCkXmuiZEtfAtav8gvmugi4D3jhD2bajjXAA9819bc0x+M09mifZ89Kk7WD28x3xPdWv2Ye7m/N6Uu+McRgx5H9aBYpGUBJoS2wfaa2251aXUPxHW1EsSPGWTvs8+QlH0829d3WIQhi0uaG75V46se9cBnumuzG0vIZWXfc9d3zcnrVDKCg0Azc5e4FXuFyq4CJPqA8wZjrDdoBJNnp7XxNeEyY8j7jI2BwIVBb3HCqOXvPP5vpf33dMGBQKpAcC4zpYQ8wRAGHRgKlxeb3ESmM+gejm0v5/Goa8J+n6rfJC0bvGUDMPo4UBk6ffyfwweFarH8+GoN3ADmnAEPm+99/eAHwzHAgIRqYfBhIywVScoADq/yi/zenm2j62M8B294Ayu3rXI9BwMzvACWJwO8/AQbsB64/C1jiyhbKnQFMvAZYei+Qb5szuonvBvSm98c8oM8koK8t7h3Rz+8uhwMvXZQo1yADsxw6MxL9QgghWhUndY4wjVK0DUkh3O0bg6KL5lCM8JHCYtO+bW+BMdEjo3OByUOAgpLgfZyCCf5Zo03/eSvVPwr4zXXAzXbbMrr1j6FrebSJ0A3qCZw8yvgBMD2f/ORSM0iQGA98y3Znr2HUdwmw/w6g++eBY88bl/rm1CLHng/0/S6w7Uog1s5W6PEroGQ98AZfPwJcP9y4exefBezNA5IWAStfsT8fZwZGyLr3gZIik5LOm+v3nwbydgKblwdGjeno7hZuVRG2x9o4CJjhqoHuXuCP/FLg1cwHxv3JiFKmth5mK7rhQEOnSPR8YMifzGBGzsXASyuA0g3AJxuAby71R1ydGlyup/IYQI+5jRcDhRQgPzACLtTuBKSTs263MnDamolA770myuqdP1yCuZ87+EKkqNdlI9jGc1Z2QRHQLd0YzyUdrF9LbUXwXYNYXKdX8JPkUiP6rSi2PYDQJHzGiI6ZBez64G651tAxyMsGEsqBdNeXv7sf0H8PkPousGkKMM8uceh90J/anu0pbaGg5/mVNgCotv0faL7H4HhMGrA1Axi00z+ItfBuIG+dOW8GzQeyDgGTs4D0IKnjznfCDJDWJDMR+NLdQEUF8PQLQIrtO+Kl33Tg0lOB7VXACrsN4PCzgcGnA+n9gF4pwP1zgPdnA8976r+5v58bZL9wietje/3P3enzw88B1v7HZFmQ/jOB/aXAvkNA4QDgB6P98yZlACffZJ6n9vaL/qwRwGHbKDOum1n+VDuTxqHvNGDfx+Zc5HVBdH4k+oUQQrQqTq23u05UtB50ks7dA0x39Wavo7HU4oOmH/fpacCrZ5tpf/xf/fT8DXuBx9/ll+kkYDeOrxBIOwyM2QSc9y0j3h36Z5kBgZ9dYURmhm3VHRfjF/2HHwWO/B3o8xv/53pvA/J+a25mSn4XWlx6qUgDEoKVHMwChvwGKD5iUvTL7zXlAId7Au+9ZQunGuCRH4VeNkWwc5rnba8fld/6cf2sArqGD3F9N1YNdhg4orWU7cW6AXGu/twUsANfAdY/BSzdAex7DDjjGuDF+4G9m4CZ5wOJyUBsqa09KQwZBVxuDORG/i7QNJDZCU6682v/Mm3q2JuduAcwmMrvpjkDMAU9zKMpvwHuE93NKYppYuezvwSf+1pkh7s5fxKPAwedYs1j1URg6Fa/cE0LMpC1bjRwnCUDvYAFr5tUdhrusXUin7PUgseVAweDt5vpUfbgZ9QoYFsa0M/OUIgULsNJNa+NBbYPBMausw37QlxnuZ/Dt5gBiz39gexDwO5cYNw6vws8W0d6cWrZg013BL/DkDOAURcCz+QDvmeAmq3AxGuB7rnm4TDPZbLXniR2M48brgd2DAY+ZncOXtlGAUd3mm0fNNdMYwSfUfOSQ0COy1hyfAYwMKkKA9NjEc8UhTDofwqw9TW/uHcYsdAMJGS5DB3dJLjaGFS6Bm5SXIaV3M4K/l4TgLgQZSFTvgJs2GDOdZbBiM6PRL8QQohWpdLd9of1k/uAv281KeKpIW5IRNOhG/WMZfWn9zoAzFwKHJsBIEit6P4C4HfP+etaMwqA/9L9PYg4diL+XthizXLBtpuDX3c68NCbQHIJMPGnxjzPNwtY/C/gi78CvjMNOP4NIIl1uBcBaWXArl8AeYeBQfcAQw4C5+0AMuKA4mfMTcv+7wAXZQCfjQGmNeDiX90bqKFJl13DXZbqz37YmwWUzQLG2r3nyZ6pwLZUYPE3/VHR+FOASqb+2mZardnNyakJJ75UIHMgkGe3ZnOYdjaQlgX0H2UMqD79wKS5B9suCvF3FgPb2Cc9yvSTHz4J2LfRRKWXv2DM+6KPAWmT62fn7F5val37jzamV/QTqLTPhe2s8WZarC+wprxRfEas0iCNzufsRx7OZ5hKbtXIMxof4ntgejqheGXqvbsemw7rhRnA0plA8nFgX18j+kdtMNvD3wx7sbtT8K1UdlfbSC8Dvwj0PgkY3cMYx22bAUzvAVxh19BX1ACL9wHvMDskCqjcZ0zj2NKN+/DSYJMS38/eoYYyEtw47vc8hg5Z+ebhTGc5BAc7nHMqdzKwb4X5bToZCrm7zf/D7UE1L6MvAra8ClQFEfxMKd/jGVQ841dAhqu2/hqm79PPgoMqrfDD4XLf3gb0TgNG5bTMMt1CngZ4g06tP09yhnm4iY8Bfj6iADk53JDwdrbPucAaZjWdEzidvekrBwGLdgDnj67vSeDG3VIvy+5CQlg+cOZvGm5BR3+Lbn1NCz6WrojOj0S/EEKIFonmL90IjOoHvLAMyEgFLp4J1PqAClcaLMXB5tf9Nd3Xz/cL0rGfBl/2yyuAaN7cjGiDHekEsB2VFx73U5aYyGc26+bHmpvmv74CHC8Hbr4Q+KWn1/oZiwE7uzdsrnvYCKwHrzfR52nDgbJKYP8DRrgl1ZhWXEXlwMargBqKLdavLgI20UjLrsfmferWK0x6vUtHWMSyzRYfexpOXFh1EnCsCpi5zwi7jyYCGUeArMPAzv4m9Zr1tVwO3cb3sD6ZLt6uZYQlSu3oMUWkV/w6Rnvu19b8nlRytxEcyRgBzPyBKQdY845xn+/fG6jeB/QZDxTvBNY9CxRuAxJjTf/12s8DtY+YVHRHuNKl3lk+efkv/v3j93/4KDDUZeBVWW4c5PdtAz78b2j5Yvm2OaaHEaSnU4g6PcrpgF4Yb5bDFmmV8a5jxmNpf8ZpiXY8yaQis40azd+GsozDLitgtDo736Sg87XXzI7LyiwE5r7jd173xRoX+GBwGy+2B8BI7hxgwueBlY8D+5YC3bKBafP9adFZicDQ9MBlsE3iwv7mQe571P8dpx43Ay5O6jsHGOIzTHlEQ8eTu+X0gbeOZwKQMxbY7xr84r47pnSsw7cG4d4AGtN13U8Gjro6F/SaAAycDexfZerPY5n9cQFw/JAxomNaOYU/z8GxlwExIRRFa/U9X70f+KfdPvHskcAXJjZ/XTTJm/xF4MBqs4+tyWPrgNVJwMcfAvdfEvjeT141/z+9Fnj4cmDxJiCRgy+uKL8XZibQ7f/oLiBjqL9TRSh4rNiaj9eBmAjLicSJiUS/EEJ0MvHNaG3/bODKOeF9hm7nThovo/LxTXDNXbwaeNHTv5pmUJ/uAm44wz9tvN0fnezO99fyLlxkBKmX4jLgpeUmPTq9J3CsASdd1nu7/QO6KqVBzIgohKx0ZsdkrNaIfbbaIz9rpC3UiA3Agd5Akev4pyT6UFJu7rJnvQ8M2OkXVJNWAh+eDBx5D+j1FcDdKn382hA3IR4DNqeeviGce/zyTCCxwER7d/UH9vcxdfXMtF3GzAabgmzzcETr1mFGMFa6nMgbg/WxHMiyUtp9QFpv4Kg90OKzReq084FVq4Ei+xwfkWvO7yMJRmQfLwA+e8UIWApctrlzRC85Wmjctg99AmRXARUfAZvtqN72NwO3pxt7ykcDh/sCcz8DPv4nUPMQsGWo37AtFFtXmv+HTDZ96R/5GVBlR6Ij1U/x5WZf6AVRawt8a984LdZEmJ0UcgcOwtThKk3g/DyPWafutEVjJH53f2DUJqDPQWDpdGDIdiAqqxoT1ga/nU3sAUy6HvjQNj5zzk/iFfwjzwfGXgrseg9Y/oB/euZw4OSvm+fTbgA2ZAMDTmlaHTSzFZg54naA53nR/ahJiX9/EVDj8wt2J/uA5zX7z3crr58iPuXL5rp3bA/w4R+AkoPh92wfvhDYvMjet/OA112iny7zFPIj+piU82ARZUb8+WgPNrgGN1/ZCIzOASb1a/5yhy4wD4dtBUBZFdAzxQywpUZwrWhs0IIUVxhvEkb01x0E1h8KnO/aJ8z/vKw7BpCjLgA2vGDq/92MPC+ybWhsYEB0LiT6hRAdGok4cwyqqsMT45/tNGKaj1Cin9H37QeB3Cwj8u962hinjegLPPG+cVEf2geY4JgPhWDZJiPKTxtXX/CTD9ab/39vu4/DjrY5lNEIygdsOBO44QCw2LHqDlEacNZrwJOXhd6nXzwBVLI11jmBpmidFpcLuluhOTeGbiyTtXi/2Lj/VSDdNThwpAGnfWZgnP6WiUg++xPggO0sPXko8O5n9nNbPDqwPdfQPcCefwFhBsubxca+gC/XtAJju7tIoOB3atrdkXoeUqZcj58PpHQHVr5hBkuu/jnwdxrURQF9BgL9MoCdh4AUDijY9dLr/wNkDwPiCkzkttBlglaaYAy00pimXQx0o2N6nonyOhwtAI660qd9jbQJozkcI/SM3m3aCxSz57mvfsTbm0JOx3s+aDiYwVRf+zxoSPAfygZ6ukwDCSP1KXYEv7A7kE4zyGqzPtYM87yj2PWK/lDws2zx6bjDO1DwO3ypH1Cc7sPuN+orFxqcnfFLII6eBYnAhKuBNY+ZaynN15iezTRqiubSwyaySyFFkUuX8/gUv0N6mqv2nNPHX4mmE2VS78+8CPBVA0d2AzveMse7yGklaB/80QuBXY4/gt1D3psFQDHO75yPHgOAhfcAq58ANrmuuV5m/RA4vB5IzgaGsH1dGpDWzzjF8/+ivSaTIVTkvqNw2DWAQ7Ycblj087dLk1CahZZVA/9YBkzrD8xswLme58vPXOZ+CbHAg5c2b7uPlAI/t7PdHA4VA71SgT+8bwYYQpF4BMgvMYNTfaYAGY38jRbCTQf/SQshujocAW9N/XbEc+PQllCohmOg89g7wIotwM8uBzLT/FHtXfnAgBwTzXRgKnVjvPsp8NQSI/L7ZQFHj7PXunmQt9aaxy+uAjI9N93u+u+H3zLP97l7lUdAUZlxYf+OHdEduRHY3y9Q7Jd7boBYt8o03o0jA4U9BxCc2nMKoOOuNEj2ix+8F9g+uJWLstuYboVAn33A9GXAx9OAgn6hzRIp+hl5dXAi/OEwfLM/InnxncDOgcAHs4DeS31Iz67FSa8HDxelHzaiLxzePxmYbUcZj54K7CkwpmTOxyvigE0jgF7nADkuIz8H1kp7o/XhRKsdx/YhE4CzbgBe+huwax0wcCyw0y43ycgERswEyjcYY69trwL944DCI0DNGmC7/ZsrOgy4xxso4oJdu3bZ7Ssdjn8EVGaY9m4OFLsHepkWl6w/ZySYNekUjDRpLMgEjvQw3+mV/zbi/tAm4M/f9u98neC36+hjkoGPRgHTl5t6evfB2b/FPLzUGfzVGqd4ivf8LPMeI8/MauAgk7srR4adWk4oUp2BJuf/qEQg5etA8R8a/m54vjXU7WPdM9bS6l4z4syod/FBILWnEehuceyOVrvplgVke0zT+kwG0nNN9NxrtNZUFn4VeOMRYP4XgMHj/aLy02UmA6FopxmIoI8Cz7/TZwAPPm0GVDKCtFnof6rpBe9lwuXmsXspsPSPZtrAs4Htr5rvPWc00Heif34OdjiwPdy6p4BxV6DDUlIBVNUCy2xPghHZwKZ8YNcRM218b1Pr/9hKYFAGsGA48N81wJEg3gQf7wHuWwLcwei+fV674eCAG2b45B8H0hLMAIB7+h9XZKDSF4UfngbkpARmJFDIT+xjfk9//hAo8PQSXbXfbGtDgt/hUAmQnRKYcSFEOEj0CyG6dJR/8Rrgdd5YMkWxu9/h2Cscm0v3I8Ysar2r3c4jbwGf7ATSTzM388Gi0zV2rTx55zPgkpPN8+dWdMeG/dFW3fz8Cf753fXzjGx4Ka0AnmXLNACb9hnH9FAw+htK9B923YQus0VhUNgDOM/Ush5ppKjUXfv8yCLg59eZ7XXDiDPh8drniuocd83njibyHPrd88BUO914TwS+AD0KgWFbgE+dHuodjLgyYLYtIGctAV6wsyCCmaqxnj5Yqi/b5JW9BYz7FHj9DFOHT4ZvBI6lA4dohhcdKMRYS91nP527o3FdI9vojkwyk+PU9434Ywuw7SOBQRuNeK1KBJbMBLIKgH1cX0/gLTsN362cD68ARo8GkvcDaS5x6U6Nr0uHjgeGjAe2fAxMXQiUHzcR+/HzgOpKk6bPaXEJJsJ9bDdw+mXAoc+Ag6uBqHRzXn36V+DTv/iX/aktNpLsaoljaeZY0RsgFDwMrEMfaA+2HOluyiVG2y22Uo6YmvW67b8MeM3+bbJ/+TkDgOIqYH5f4FAZ8FEeMDgVSIkDVj5r0sD53TBFH57BDgpnq46+FJj7vv83woGFhjJieAyZ3cE6ecuB3r62jNhsPBG4v25RHw5sH8Za8F7su/4EUHYUSEwH1j8HfGbXuJ/9e+DpX5pBLcc1fsAsICHNmBcytf793wJVLuEUHefD9G9GWb22M4eg2TDtecHdQNVxs96WYNBY4Mt3B5YFMEJvGRRSzO4Dpp5jvt9J803P8FGnAIfsVpBu6NB/UiMZB/2mAsPOAjKHcgQOWGmbe3JgIRR01z/lZrQqHLDeXwSsOQDMYAeBFP8A//OfmbT3vunGnO8Be5u/MdOk2b/m+VuTFAecOxrY9K5ZHh9udhQCfwvWxcQDhf89rsEPh2JPOQW56QXz/+1nAMOyTXbZl57ml2ouQos2AD2SgBE5wKsbgRV2a74xPYGN+WY/vfx7FSI6fkI0BYl+IUSHhaZSbhjVPOlTYNn0MD7sA/rtNYKiMfGedwyIeg/A+eb1jI/MDe3bc4G8nqE/V1wKbHwD6DsoUIAG48zXXcJ2tqk3Zu9zJ239cCbwpm1q5+YvQW74yIb9Jqz55hqP6HfdgPNmhJkEJ60Feh4CXskADh4IvOlYYouOhm4uOPDw+xdMi7WvnmXWESydPxh0kqaQi6oB5r1p6q1XuL4/Tve/8D8tKDKC/Q/2DZYXd9Sa23fHvwNFDmvMY5OBPKp9+DMJjmcA+zOBjEJgL0VLA5kWC97wL+/9IC7ObUVIZ/SowBro0WuAB8uAaLpme2Bfbic6axl7JQOzRgNnTQbybzHvffmfRswtnwqcbae0/vFGoK9dexpOC69QrBlrNveTSSZt+7Dttp030z9PRVLg7yhUzfT6XkBaIjDFLik4NNbUfjuGdbmjgaQewPDJQO5IYMG15nfgLG/zq0DhViMkWfO9dQmw8X9oMrwe7e9rjvGZS4DyapN5wD7smbaxnG8u8E4aEF1jIubO+8zQOIPXkP1AailwsKfJ3LnsUuC8aqCQ7u52JwQH9jUfnu7/jb+XZkQ/B3YCMhvoN1AU3CuD0/geB88oOt0t96zsBztjxjHd8zLQHvgIRe85wMSLgJftHuLn/B6ITTKp9u4WYknd/W7jDqm9gLKeRvQ7MErP9HOHeXcAa//NVmq1OLD1OPqO6oaYuJZN46HwbynB39A57Yh+sv1loOdJwI7/AUcGAKmVwCH7WsdtYRs2MvJcM4DVEBT3k67zt5EcMQPo0avlTNtK2dEhzm+ex+s1/7ZU1gLx0cao1ZqvClh/EBjXB9icD9xlD9ySJ1YDv11ofAxudXXS2F4IvL/D//ov9kC1l2unmAg6o+QU+E2FxqL8e8e6ercZYFEDmSa3238fvCwOkjFD1nlq9c8bDXx2MPR2J3MAq5sZLMhOAx5dbqZXq+RRNBGJfiFEh6XCIyycqCZFeWP0PgCcYqcL16sDD/ZH0yX+nIgd2zlRIDGquYIO155a4VdWAkX7gVn7XevwAS8uAQZ0A3YNBFKKgYGutk9M0yU7PQ7rFMbMBmDPZ4eSMmCDJ3rIG5P1rhtu9w1KYXHg/PnHgL07/NHETRHeFNGIj9kCK7YBOw75Dd/oBRBuSr8jzhkx77ffPNyinwIw5PobiCC6U9jfXQH02WtSnsuTzHfvCNVjrswKGoLNegtYM86YyfFw9HLVWjNV2YGttJzoPtt/tScUc8FwR2k5mDRsI0AbhbQ4f0q3A8XmwO2mF3lCpWnHlzoa6J4M5HvE3FFXmuuQbf4Ib3Pg98JTla38nHZ+keJO13c73Y+6BkhPN073FA+zLgUOLAU+vN3vyM3WVrO+B8QlAqseCp5m31DEm+UMPJfZj50DWX33ARNsU8rkfsC1Q4GHtwD/O93/uafYrvBmI+6vmQd8JcMMCFDU0xBs/RFgQArwJqOF/2c+c7A3kGQP4iXHmkdDsFVYPAcmD3kGsHxA+rH6Nf1uHJd31tpT/PcdDfQfaiLu8UF+l4z683fnjexTjFOQ0un9o/vMtBlXm/T6024DKkuB1EZ6svebDvRdBvQYaITxsVwgy75u5Z4SKPidiPSpPzTXp7gBx5GT08STqiPgGas4ZJeV7HW13RxxLjDhKmDLa0D5UWDs5yNbRWwcMO+a4O9V2xF2CmcKaJq6su6c5WcUnRTzNJdjWvncwcAL64H3t5vX84cBp7K93EZ/ur3DBWOAc0cBX3Z8CULwfdtI0At/I/y9BIOCmZkA43qbv4G3nmZS9d/ZZjICyPT+wO4jwIFi4IdzgeE5Zpk8Z9YeAAZlAlsPA79/z7RXvPZJYO4Q4PLxQAoNNn3Ahw20bGwuF40FNgbptDKhj8l2+MoMYGqumba/FKj5xPxmg2UKCBEOEv2iw5C/F4iLB7q3UL9VceJTXtp4lDcUjGK5BQ9vvB0oQOsRF1xsOQMHrKeFS0B6o+qMoFIITP4EWFplqgUo+he8HiiaHLHCOvNQ2QAfzAGmDze19t57wwdeYz12dD3RzzT4nz4WOP9dT6FZMP2fgwjv24Z8pKgUWNdIlI8w6nnyEiMqNo4IdM12qzcKk1DfK80LCdO4z3oVWDUR2ML0fJ9puzZoh+k5v4emdEXmwfIJt0in74GXEZuCDzq4I+o984BjPepH4jpSpN9dDmEJMdtNnnCgisZfDhz4yd0HHE03gwEcADn6NyA6iNljWlX9ev7G2Nfb1J+zTMBJ6d86GBi6PbS5oFvEOy3vHOHK1PuqqsB9JI6IZW0y0+GjYoC4dKBfP2DMTKCyEHjNqWu3OW7fWL/z/4DqIJE7uqQfzgK2DgXGrDPp7A4l3Uxv9+gRwMm9zM33rhLgIAdibNH/09lAThLw1A6g1D5nPzfIpN6f9zWgjDXA9kAK/8Y5nGSXu/QdAKxK939fOZ768sYYMwHYv9YMULIbALMemL7vFvwU3zSr2/giMPFaIGsk8MaP/OfOrFOBxBRg9b+cJGU/ZfZ3xwFJnl/zzgbW2N0exnwOGPs585zZFIXbgfT+/nr6nDHh7QPT8mfZGSfk/IXA2sVmH8ZejE7N1HOBXa8C1UEEoAOd/cmwMyNb9r5jwAvrgLG9gFMH+0vmfvmmEZwLRwEp8cBzn/nFNOd1R+PdPLUmMPrNqHaoyDbXy0cw2GKP633K1cnD4dLxwBnDjUDnABkzCljzPjIHiIkCjpUDA+xrswNF+ryhRrSv2gf07+4vG/DCQY0JthcCBzrccNCAj9amW7zxBKCpoJcbTwEOlwL9PC0geX3k74GDNEI0BYl+0SHgTdGTvzbPv/mn4L1WeUPBP1hqMdJ1qCgNfpEKZlTmxTKqckVwnRT//iuAvsFS2uP89fzBYKlAQ6KfgnWmJwOBgw3eKKlTb761gXZk/34XOHYcGNrbs77q+gZszk9lz2G/2GakOy8HKG1m8MtxZg/AZ9J+eXy99cC995nvhnXgLCcYZ3+eqcxu4TrqdGCDfVPJNPu6zx8E9vUBau0vfdFyYNxq4LR3zeuc14Gdg4DB24GsPOBwT+CD54FhRwPHbNx96p9fYkSoe9CHAy+NtbJy096iPxTec3XALhOF3jEwUPATJ/PBPT1tdfDlDrYjjSRYench04Q/AvKyzbFklsqOQcZI7505pozC6p3e3/SP5znjOOrPtjNi3nEPSLmu98739MXfAh+9BGyi6VwxMO0c4OOXAz+zaaQ9wPBXMym+H1AZpBThcB8ga3+g4P90LHCSfX6+cIE/q4PnF7NzPmeZxAHPXQR07wb86xQgznW+LxkKvFENDBsI9LQ/y8iow9l2mcKAMERvnyTglZ7+72ZQhMZxo4YB3G0eCydl3xnMorndzG+b6HnWKFPSQFFOEtKBCnudG1096Qnb3DH6zvT7R+4wJoXksh8CWfa+HVxrasYduI6JIaLJkTK2J5B5FxBTGdysriPA67EjgFfuNaKa0W62XaMT++zB9jUu2RjJUcCOpGN+ZmDbtynnAFHjgI/eArLc5zj8mSoJLgHLKDXd3pkqz9r47knm3GPrN24TU96zuwGvbjL15IWlwJKdwWvbWX/uhoKXyw1FQ+nuDhTnwSLYFPHpicDtC0x5Du/nGNHeStPOnsDnxwG5PUz2ipvkeOCUgf7X3N9Q8BhPjqBtH7cjXBh5P1AE5Kb7yw2YbcASGye7IFy+a5eLsZzAIbc7MKA7kBhXX/ATZwBUol80FYl+0abQZGjZIqDfCCDXZahV5orK1lSbVDQvz/4RKDkKXHVbx28lI1qG8jIgpRHRTzHJKDvrZCeuAj4bC2QW2JF+vldjBHm3EuCcl82Nca9ggptCsMwW9zZsNeWO/JbxZigVWL8DeHspkO+6yXen8DuwPMCL1bvaZ1p8NcTyLUAvTzQjz2Vc5lBYAry3zt9yjdvP9G0ahm0YaZy+KboLg9R5OySX2L3dwxhMYYQ955A5vqw/zutlBhcSS4FL7TTO+74OxFUEpsq7U48HPgPk1RjB7z7ehNkSe+yUxg/XAN+yBT9hlGPYVjO4wDpopukvmVV/G901zMzq4GtmGziCMhwR706pb6juv00IEennoJJ7AMAR6Bz0iKky3xF/Kxzg8Lb6cj6z/CmgobJlxwvAneK9KhlInGmiyjxnnGSAuEpzbDfag2P8XRb2MANfXA4j8SwnoPik6OcABaPT3EaefxwQy0oHMnOBkv3A1DNMb+zSEiDvA2BALLCP88eY79S7T5Wec+nls02GTjXrjmtN1gIHxOjzsXacWTcNzr49E5iYCew9DoxIN9HEd5nSfwyITQDunhYo+MkpPYFTvhw4jZ9z6BPBgFtOMrB9CDBop8k4yHYJnHBIdQ0OchOY8eKQMdRfR84IZ3dXe7LpXwMOsPvAm6b8gXB/J3/JpOo7XHQjsG0NMPpkID7B3w880p7gkdK7gVZqrQHFFAUyW8ExAsx6dbLzCPDkaiO2eT5S1DKCTrHq5vFVganXzwYZNH2RA8/dgeunGpHO9fH/ZzjQFgv0vRj49edMdsoi2w8h2b52HysD4mOBX7/tWeiRwJehovThwG2hEz5hJL6Egy4JRpC6a9JpYtcnHfh/bxhX/J+dYfaFTvqMYHNbf7DIfL5PGvAbu7WgG77+8TyTWp/aFn09g8BI+2lDzLbz2C4PYsZ519lm/93bz+/+o13ADdOA1zf7Rf/cwT68sz3K6hiw56hx7r96khmA4SCQlRXhM+eAs36HX57p90FoCKX3i6Yi6STalHUfAp+8YR7futc/nXWWDlXlwUX/ge3+MoBeEdwU0eRr6yqg7zAgJcjoqei4ODeiDYl+piqf/YoRG2nFQE8nglwA9LJvUpZPcfU49gXeFNcRawYN3A7cjDy7iS4EagYCL//ZCKlSilPb3Z5iwgtbjgUTk0eL/a31Jn5ihPlLC4Fa13lvGYBdB4wfDayZ6E+3D8YTNCG0sYSMyz+AafV8cLCBNe9M/XUzdRlw8kfA6nHA5uHGUbwh8c8BFaZwcxCEKd3rx5qUenYmcJi0KrA+nkrEHekf9G9g12nmObMG3PQ+BGQWmm1x123XLaoGGGuXG0xaDezpXz8FvA6ffwBgyBbTO57mjHRbD4Z7GxkppVBkNgOd2duTYILda4LYj62qVgObh5nvZsYyY7bHqD/FZNDPM1r7cMOi35sRwVT4KNt0zw0Ffqo98EShHxXkd7bzTfMg2VyIa79YbkAqi4EDe01NPnutl3l8KHrYRnPONaCgB/DyQjPQ4ZTHEO43yw34/XWLBU7uCRzIBN6xBVJuN+C2OwJv5GmQ5zD3EmAuIuOywcCDm82AQCTQ9IyGof+x3dhvjrBHKaPAbMOW5yrDcejZQKZB74nmwZTxfSuMs/7g0+qLs9QMYIL9e20vmOLNaDbTuL2UV0fV6/TyAUstKoHTmQVRZISnE1XlvGy7xjRwRmkp9IJFaileGXWmEHZgHTsfzRFju48Cd4QwgdtXDVz1hIn0To4BfDXApgRgzwrgjS0Nd7QZ3dPU3ocL52dknGZyjMAzgs62d2RgD+DOswPnX7LDRLg/d5JxrSe/drVBdEen05OAey80ZnxO3X0wKLT5aE++ZHvMPPpJ/feyugH9PYPvhNkUfJDPj+d378PItEKMH9QDE/pGYVJfkxVReBwYkgWcNdJfPsFj7oh9d6Sfg3LhoEi/aCoS/aKOyiNA3hNAzytNjWRrUOgRUcEcbStZb+ppE+buZR5KCIZi1WKTJpqcBnzxzsg+K9qXUDc43vR+RjjpXu7GEfyE6cYUqxTxTDkOSowR/OyJzPRxRggP2zc2jJrS0Gz9JOCtNX4hxHp0ZgecuwjYOBz4aAaQVWiEPcUsRTajoVaKs7OaGuBgvj9Se6qr5dp7c43Q7HEEmMJz9igw9z1gx2SgKMw/9O57q6GbzbFhNJ517BRLS2YDC14FRrnq2smEteaxYQRw+JvAym3BG50P3GFEJel7wIh+6/OuG2MOIri/D0aA3QKPgjC+PHS9OmuM57wLLDml/nvz3wrtIs9l5hwwtfjuY07OeNNEnC9+DvjND4CLnzEDIZ9MDO0pwO+qOpwbsXZyU87eD9T2NOcYBS8d3Bnd3zHYf1x43jfE8K0Nv+9E+in22SZs40i/SSAHZZzsCfexyzgSxiEJ45h5Bb97EMTJcjjUC5jVD7hoNrDhCFCxHIjOAc64BfhmOpAab8Qib7QJjf7WMJ2YAxMta/aOiwYCA1OB0UFEQrhwMCISKEi5b3NvM38n373TL/5nfb++AV6oTIHWjto3xrbDwD8+Nq3aTupt0qjPHmHEI0XpH983Aukr041oHp5tItq1Vo1RT2R181k9zimmZg4wkVXy8Cf107mrasLrh85UeXcL1GBGbOwZz0yAc0aawQX2Z2fUmttRa6f9M0OAtfOcd+U+fyS9IfYeA47MMQPCW/oANSG8NR69AjhYZKLlzE7g8n/nyo4iFN1fnAq8twPITAYKjhtHfba6655oPsPjznp9R/RzMMTLKYPMstylCQ1BMc9BlxMFlgW8uz3w3KAZYGPQZf+6KT7k5VVZ2SGO+R7b9vHhxlu64FyXvM+D4QxuK9IvmopEv6hjy+VA7C5gyyvAaLt90eb9wNGXgd45QO75fiG2aAXQn6ZNEaYhhiPYGel3oMtq3tNAKl3R4G89Ewlb7brV0mDRXXFCiv5g6dlMxQ/lMs5BgkF2LTwFdXaeEa677T/ODqzldSL9g7cBQ7cCycdNSjmF/rgNwIsXAHN2m9dsbUYRySjldDrIHwQ2jvIvr58dmWeavVP/nlAGHNxvBhdGuSJzrItmCQIHC2gk5q6lHlgMrPWIAQ4OZB8yfespxJi+P3mFGdj4ZDJQnAKcbLs/r4wxUXHCnvNewe+G761KBNKOAb0OmlTo9CPArkFAvz3ASM/N59y3Taq9F/d3wbRtd7Sa0fc5dr/wgyGMO5lSz4GWcOBxoKkfMz14X8RI/kfTTc23d3s4oMDSg1w7FdyJTgfDGZCgwJ3/OjBkO/DI1fXnG+xqLdWWRn7MRnBq9Z1IOc/LWFe2B49JMCjiw/E1iLNv/o92B9bbUWN2AOD6mOrP84N4sy3cL48nmxIQZndRmB5YZfqskz4zgH1TgZ0vGp8InrscpJu6wrjK7+trTAlp4siMi1OWBJpC0m3+Btvtfsi3gE2LgNzpQJo9YOe9mWYK/iRXd4KWhEJvqmu9Div2mCgt03z7hWizdttE4LmdwHfZv94Fxdkbm01N9iDWO8cCCTGmB/g99m8oLgb43hxjwDb1K8AbPwHSc4G+k1t+H/dzoDPO1Kk3xJbDwNEyYEo/M7hCof3pAaBXGvC/dSYCPCzLmLa9stEIT0JBv9S+Vu89Ctw0G7h3iTkO5HeurCY3h4/7v2RH8IdqzebFEsJ2avrpQ802cHvpBs/UdTrUX3KSGTDgIMC720yk22sCFwy2W3NzziiTns+BDDIt1xwHmtDRD8DpS0/oQ+P+e+I91358ujm3mWbvMKG3cc1nlgIHRhid5zppasd9CIZTA+8WqBzACEa4gv9EhJkP//g88MNFZtCFx5DnZ2vSlHFHRfpFU5HoF3WtuSj4Scxmf2uwv/0b+Mo/AOqPynnGkZftwl5mKmAl8JuvAAkNmKp4CUewM9LvsPf3QNk/gAKm9J3aNNFf5bmxLSow5QRJTTA5Ky4DFq1Kw7xJwKAIUzhPdDIOm9Txg420XmoxfOFH+t2iJxjulH0K0PGf+oUPjeN67wWiC4B0JzugFpjpuvly6LsbuO4Bv1g6nBm4XgpJ5yYt/agZOGCaOqOgVfEmY+B795no6O7zA13mOQjAqA6jyxT/bqFXS+fiSjNQ8S7d1qONh8C8t4wAyvkAWHOScWcnE1YH1qQ7gp9c/zAaZXwqcJjLqgVO+tQYnuX1B/YEEUvhtHNjyn5piOtErxCO1cwi4CMcmKHghmnlbO+42eUbwiwHZ+CBgzvh1Os73wEHUuYttv0SSiPvUd9cgnWrYItCDmCxlSQN9CzRbW/vwlcaXyYHRhLDiDg6FKUCUXFAfLH/nOfgzaDRpTi0IjmgPaBDci6wqyzwzvaN/cA9h4BLupkSkH/0APL4fbhy6deNMYMJfDgGe7eOB0qqgPv6mMGn+XaZwBQ708TangRgTAs5vTvXnnCyAULNy7rvqlrgD+/7xaiTSsxIKgcgmFJMgdEzFbhriqnpZZSb9cIf7goUX1yewysuYUuB+uynRvSn9AIW3mu6H7Q0rHVnezVGNv/uaRlHgc7Ub9YyMzrKKDwFMoUyo8l5JfXbr3Fg4E77ewzGZ4dMezhGyBtj/jAf1h+KCjhezBRg7TVrtl/eaI6zw5emAbMHBa+hdhKMrp5smwe7y8ligQWu60qkUKSzfVxBGZCVHHjOnDzQZAGwhIHfPwcivPz5IuBouUm/D7r86EChSqO5SBzl3fvZVeFgyvqDJmIfzF2/JYkk20hGfqK5dOGftSBFq4Fj7wGbZgOeoKcVZXc7ax8/bkQ//wBT8DP6+cjtwJdt1/2GoLP4ayuBTFeE5jBvTKOALJf7rzfSX/yaOUljK+pnC+zfBuz8DJh+jmn3E4pqV9Sr4ADwn1+Z525PAaZL/eVlIDsNuNweXAjGfz+IwqqdyfhkJ/CXr9f3DuD29BkCJHYLvKDzWFo3Dm2YBsyI8vAtxsWdKbB1MIK6w0SCC4JEpULhtN4qTgWKGyoCbiEomH2ZwaOcbnd24tReh9O+zy2gaP53wYvG7Xr5NP90RvhD4Y6OBtSt23QvNMZ5bN1H47mUVcDa8UDv/cCsD+wa8xpTt+7eFitl2Qec9nb93tq+cuBMO62dRl9bhhvh5V6/M5BBaOTXHFYuMm3yJq/018Tn7DYeAU2lMaHM1PGmbHe3EJFsHlv3wAdT0Z3lu1uypRYBlSEGJNzn3knr/GUC/D7bm352hJ+/8c88EbxQ0X03lREYZzGiT6O9HkHqhUveS0Y3z/c4YSGQcCrwNGuFH/S/d9sKYAWPfTTw4nnm+3E6TKSxV7x9bf/8YOC6s+qnu1KA8SspHgjULjHeL2MibG8XDhTkFK2sCf/lWSaS7oZ/L5xa3I93A3/8wAi1750KDMww4vx/6+v3LX97m4kc0x2dkWsuw0nVpeEXHcwp6P6zOngKLwUI95+RfifyTVHN6PX2Av92xSeHt488no2JO5YP/OpNEwXlvhGum+tkGjvLJbhd939kUsP/vsyIRyctnvMFi66HgzOYQZiyzwwAbi9ryrmuWYOA+5f60LtbBa6dHI/o6Cir7zozIJhG/blxJiuBWO3q7PGncIUW52vpEhDCewG663vheUaHeHLlROCJ1eb8unWeyfRg/3bW3TfkXt8cxvQCnraP93eCGKR2FehvMDPCLNam0lhKfzCU3i+aikR/F+fA5eb/qD3B6+zdoqLcvoFOiPObb7GlGm8cvH8YD+8H9m5kiBXYnge8/am5UNHsi27sTD8t+K6Zt/uK+uKZ7C8MLuScSP+z95j/GdGY5jGcCRXpdwS/l417TT9ymq03JPqdtmgOr/0dKC8B5n4B2LMFeOcJoP8xoPcW4OjFwNyvAVuvA6LXAQnXmJ7lbQXNuygMB+wOFP0UzDn55hGu6I+uDhRvbSH6GckrCZFN4U4VZ+R+xAYg84hpw1XUHcjMB0atA7YNMVFQbvPgrSZNeIUr5dUx9/O2N3PS8hsjWGr41E9MPbsj3DlIwDT5C14ITOWj4PGKe2t6bcODFtn5kQm2pnDkEDBtY6ALPolvxRKZkGZ8jUD/gGBQ5HNg0jF1dA8o8FxxDw4EjDXUmog+B4LqRH9toKB2Dya0FSyx4HoLPdkWTqZCqBKAUHB2ps+z3MHN0XRTjuLOdLHKacKMeLGXe8IC4Cb78zSKY7bIyknAYdf10+25QMf8X0w29fcNwb8z59o1tmV/sI0aW+G3sGyXv20ZxSUFGuuhWQvNNH0Hpp5T8BMOht8ewpzNDVuUhbp5Z/Se9eGczlRrtn2jkRjTv08bagaPfbY4pBEdxQkF95eeMiL7YLGpzQ7Flnwj6jiYwc9zgODX5wQ3x2M08UipSaenCzlT3t18/VmTFs+e6XMGAztcAQKn7KCxtHdG5TkIQrgMPv7fYvN6fG9gzQH/wMY3TjaO98wycN9v/PF8H/LzuXEmpD00C/jTBUbduwWVJeBxYnH5BPNw/ANaG5YDfHuW8SUIp3RBNB+l94u2RKJfWCR91nhU0+lJXvUUcPqbpgUWbwQry4AEO7LAfsqlHwMvP2TEF1t6uVuFOTem7qhfbVX9G8ptB4DfPQ98gSlwnm3ypvcf9rRp8lIVInpYVQU89JYZtBgZZsp6bbWpZ3V6wB/cDpQyhbMC2G3XZ4/42PzvewrYud0IflLxCJAw078stjijAZevCT3Aw7nBD5q27IusP7mD0/OZeAUPa79ZT723b2SZA41BMZ56EBjzmYkG7ulnb3954CAEj8XE1UDOYTMvxV5aiT/N+yP7mDO7gUz/OPi+0Amd6fNs8RZOyjrhgEowvJ/vebD+H3dL9Ie5HndGAKPtNOZrjlBujmN8a8G676acm6GgJwKN/ShYmbHgJnd38HNg+CYgwxY39Gf4dBywvzdww4OB3y0HmtqUWmCELTZXpQJVLpHW1HOA14etQ4DRHJx1wZaXvC4dTQO6O4M8Ic6FUZfWAklFGDYzDa//Ldq6HjITxRH85EAfuyMEa+kzgS8MBQalmhZ4z+4EpmcDAzzGreGQ1ESzPArYx1eaqCbT4VlvP8HuA08Xd5p4veXK9Pm5qyOAl8bE7eAMI6Qo3hmBZjo7I+yO0HUcz2myRrHrOMhz/v87t/5gerTrb4U7Usy+4UxjpzD3in6u7+m19fuxO7C+nOngNM8jTCt/dKWpx28MJ/38zUbMIAmj/8ftv8Wsm/+inVnFgQVGrp19/dE80yKOx8oR/UyDp4B3p5+7o+b1jlMrp2R3ZsIxrhMth9L7RVsi0S8s2BamsR7NlVXAxsuBtNWmxRMjQqzvPlZg+gzv3QK8/Btj0MWyxTfOqJ/+7AhRt9hxO/c7fGr7CzANuv7GBhf1dSn09vNNlwDRGYAvRKrjTQ+YTIJB24G1dEAebmqtOQiweA3QPwsYYRvcOKTtBHodBsrsKJVzveZn2B3ADfe9kunRQdbN1GkaorGmPNJUYaayhyP6g4kBHn9+PlImL/c/D/juaoCRm/yiOmzRzzRUfreN3Jz1PASkF5sH66opHqZ8YszLtg8y7vq9DhjBT5LY+aHCE4mvDVxPvHv7Xesavd4IvdYgmD8Av4twhTVrt92Rfu7XlqEtK/pZ4+20WJuxtGGDu0ig+31sGOcce6kHg2Uo7m0J14CO8FwJFpVnlotDdoE/c8UR/A4syShJDjSOa3U85ytx7wOzL7L3BnapOLor8kg/l0mjMEb1++7zlwSwNj86BVh7EnDqkvqfq8wA4guBnrOAJ3OjsLKgO8Bsi/FAVBCjsC8MAc7JBdITAvvYk0sHo1WhcGWUmIKRkXC6qDtC/VPXb/35IK01I4EDGGxvxr7kDnRz/8Ik/+szhpv/2UmAPcEZXedAAM3jeFyYsk8HdsLIfiRigC3FKPo5oME0eEJH99+8E7q9nMP2QuDut821kMKfx8hNYqwx4/sgRNtHbjtT/AnblDmGfOT355nWeexxPra3yTT4ZC9wlSvbqofn7zMHYgg9Dh5c3vQUaCFOBJpybjfUtlGIhpDo70LUVgJbfwU8HwvszASmDgNODtISz43bnGnN/4BxLkMwhwPbgJxcYMWrgWnIxHsj6rx2Ry533gakXRE4Hx2KaZxFR/NgFLlSCXcdAD5YC2z5L9C3B9D3FeB4NpDuRDZOt/+Pri+6aqKBrHzjvj37XeDJS00v9OeWmnm8dfvJh80Vmmnzhbw5si/Yn+0CysqC7CujUZ7UcXdNcSSRzaFbjOBeZaf7NUYwszve6EcqDjjI4o5ouzMIaPDmhin0rPnPZ1p+rTGqY7pvredKM3qDEVLrR5lzgYJ+1wCgvJFaxbGf+d3KWSpC0e+48odi+GZgcxh1v60l+ENhRfrDTBNnCzSH5HLzmL7cpGe3BCxH2DQcmGaX2rSU4LeWHQ/EhlHTG2oAg7XkVgvEMn99ebi4OyC4cZdz8BpDk7qSINHmWR8aF3kvqceA0tSGjfaawsDt5rteNxqocP0W3GUWPlc9v4O3o0I40CSPWQtMs2dGFv0tCjLsTIZD/oFNwq/ms9Hmt01zRA5oMtvJVxD4pTnlWEPSTM/66TmmB31rQyG9dKdpt0XhuniLMZ2DnQrP2vBIoWM7l/UH2y2ezudnjTA14rxRv/11E40md50D9E4zgtXtyh4MfpYp+26BS+iu7hjNcVmRQFFNdruuEz95tb5xHuvyb5kDvLLBHCum+LvPK7fgpwEcjcxodpccD0zqZ7IFzue5WWMc+MmNpwD/WmFauY3v4xf9rKmncL9knH+ZfJ+PcGDt/tkjjVO+k+IuRGejKZ4RNATlICIzgoSIBIn+LsSuXwK+/wIsd/vjd4DlW/yi3x05cuOug2UauxsaW1G8Hj8DeOljYNNeYEgjN7+O4HSLndrXgQI6+M7zG+9FlfmNs/wz+oX7m4/5J1dUAIsWAX2PAZmvALGsddwbWJ9N4beVrXjsKIizDXRMd9cEs2yh1PY54HtbVpra3lc+AW44I3BzLHdzG+5/nxLAXRpJcVxQ4VQaenYlzAs9vQ/GrjNRWEf40ReA4rj3PpPKfjgnMPLOOmbe0IezDpqgMZq+JzcwZThgG6r8Hg7WfrkGDbyDFuxRzwdFPwcKmC5/LBXY5Gk75KTf01XfiTCy//vG0YHzeUWxk6JvbVeNcTBvjAF7TG1/R4O1+06vccJjRfPCYEQ8UBMmyycbnwNmUMRXRDZIEKoEYv0IYLTLWdwt0vncEbDl8UCi6/rS0C4yGj15Veh2jQ67+5nBgVCDhaHg4JRTsuMlmLng2A3Axy7jR7cxYHNwMlb4u6BZY9DsmhZYz5HuxuvCoTTF+GG4S41YRuOGJTbO79gx3/Py2+nA2Gb0qI8UCmwa7rlZ5zEbDCX4ORhA47yyanPzzIj2hWNMBH7XUaB/dyPQH7si+M35gB5+0e+IdKbpM5NgxgDT0i0SKJAd0c+a6kjgtpJV+2lsZ+rh3YKfAxish3e46CTjQH/j8yYDgvvsdsj/xkzTk92b9u1O/WZGgROlvG1+/W1i2UJzuWoScOUEpeuLzktTr+cs2xEiUiT6uxBla4BIy8fdomRMkDZQTC3NqwJe/gQY6Gu81tURcd7ImFvcvW63FBsQBcS4BWa5qTV12u4FROztHQuWhjvKrlkdsRko6AEc5+goe9vuB44n1d+OFHsae4S/tsXU9B7tATzyNgJcqr03ghx88Orm6gii8MGgoRiNtpiC7EBPAe6z057NLfqZpssoJh/efavbZk/EPcoWNhs8gtth1AZ/2rdFmAI0y74hZmp+KNzfO7NKRq4H8rP9ZQKNRVC9Ec9QuOv4Owr8bXl9F9gHPhihjkNTSjXcsMsAhRy7dHhN+xrig1OAacuDR9JpMuik4O/vFdiWkNkE9IfgfjNqPHSbX1TzN0Ex6jW7tIzLwnT1Z9SavdwjFf0ceIq0DV9WnqlfD8fgjoNxVtvGhECfh94HTJmGdU1qYLDL/ZqeE82FGSLuARhmOngd/72mk8EyMcZn+HB69yPYWdMDXxwRVedo747A/+VDICnOiM5wUlmZukoHe7Z5o6HdpsPAv1ea1HWKaTqyO6L4r3ZGVjicMtBsB+vHGUGutNvJBcPdDi1UJO7z40z9P13hHay2e+egSeS4/rhEGsFzIv3k/R3m4cB6fbau88L6+DsWGDM/rputBekJ0JvnQhi92EN9l0zpf+ZT4OIQPeEjRYJfdGZUuiLaEon+LkR0M9u8sLVVMGqq/dFIrzjhNEYQ2VN8X1//TWZjAoORLYoA983u7CXmRrX68/51ekV/Y9DQizX0FPG8yefNrhfeY9AobtJKk+5a0s3MX+XZt/xjQHlVw8Z5oSK04Yr+YMukSAroauDKgHAPunQrqz8PBwzc36Pz98brvUCRwtp49sgets1jeBeG6OfnmYUQUxGkTtm1T27RmFBlHhy4OZLRsmnTodK8WwK2KKP5mdcsLqxIf5iiPVQZQHPM9vIzTWTXGTgI95wk/Nyq8UYoUgwyu6RONEcbk8/SJCC5InAgjvMedblCM/tmjG2ASXbnmuPZy9WS0Ss26bvhwN+me/lWdksTjgl/U5G2Cxy801x3jrCtJEs1qsxrDjgwM8ct8Md9apa/bpTpnsHsIadkhgMfayaEL/pbwuywOjbwuFqGosWho05OR4n/zAN+/gmw2Y5IT8j04aRulTg9x2e1S/PCunK2WXNE98gc05pu4yHgnFHGRI+93Zm+nV9iepRTSDsGcRTobkM5ti2juRuN3uhUz0EFh1tONbXtjL5P7WfWwwGEmBhgWKYpGXPDyH5zYHScjvItBdP7HSKN9FPAcyDj9c2BHQHoF3DBmPAGC9ivnvM3Fw58tORxEaIz0xotIYUIhUR/FyIqAtFPp/4n3jPt9RrDEeAUMF6R1qMAmPoxcLS7SV1mGjFvhhtzLWcquyVsPTe/HCyge3+NR2w3ZGhGIeCII4rKfnuAynhTKxysPpimRDOX+tvaOWm2vClyO++/8S7Qg9F9bmMIcz3vzXt/1v4nBQosCoZQDv7BRJ3Vk971mhkMm+ya9VDHgdvma6D2l++nFJnIL0Ube75b0f8RxkjN20++MSiA3enS/Hx1vNnXCUF8Idxw+Yzs8nxxlxV0VOhZ4GSgRMKAXcaxPhxCCdKGBg2Ku5mod6hsiLwcoDQR6OmKtDcGPTA2Djf/81RzvBrqnRLRQFxN/fe862CZgFtY8ndAUz236Pd+hlkEDhTXbtFP0e1tQdea0PuAop91/xwkO9AT6H3IXFdWTq7//Q23O0O4M3ecQRd3VpVz3aBJJTMj+BtsUaLMoBy3xfp+okxJkFNCVBlrDC+ZGcX2hnv7mGtL93jgprHAN2yDvx6NtNhzu9Sz3d3eo8Bv3rYd5e1+4IT9yIPhdZBPiTdp6O5UdNae/+R0/82zUy/vuNGfKDBdnu386PgfzKU+3FT4O94wpn4N+QoIIToG0vyiLZHo72KRfkcjJB0HykLUZZJFy4Flm/0eeI2Jfop43th6RS7rcBkNpPkaxRyjWm+dHp6BWaia9N2vAv0/A7YMM+Ii0npn3pQf6m0EQrDPMjrkFhKW+V0tEG87frMNGLMOuH3vnAqc+h4wfi3wwazAKLbzWTeOANvTN3CekOZkwUS/5zVT77l9ycf9NcGRQsHF1l2MtB7s7RcpdIpnecMgt3NzOO0CfYGC3TnOmQV+MdgQPE9aMzrfHPKyA93f+d1FmhpOKLCa2/qtoRsGGiM25DpPMU0hFxfBOcPMmKpEkxkSMPgTZEPqav5d79UblIqu/1vxnl78DCPTZQkmys+yAP6GCUtB+h4InNedCdDaOOe40zHC2S4nk6nnAbPtDiEzV5glVRM4mMOBRdb2e1tmthSrx5nBPWfAqibWHE+aa47YaAZe6PVxoJdpu+fQ2z2Y18BAESP2//eu/zUj+o1B0ziK3j3HgO0FxsWeteWMfHNdrD//0SuBop9mc50hWsaU+h+e1vz+QrtMAAAxgElEQVRU+AwOJNqif7Kn+4wQomOxYLhpeanfqmgLJPq7EFEukf+VfwCLbeO8YOxzueOHI/pzDrrasLlw6kQdgUBxGVdhxGRjBnYBKewuhr9s/ufN9A7boI392VkfG4xQkWkK0WCin+mR7ugi94nLjndMlvL9y2WKLn0HKOC8+85lu6N3obBEv8+fseDe72D3slFB3qCYcLwLmgNN/Sj63VDwu1OK61bdhDTqcFrMcTClLQX/5mFAdh7QI0iXhWB4d5tiiWwdbM5394BAY3jLKloS/j4acrrngAPNA+sIpzbd3nkOJjDaT5J5s7I5vOPl/v77TAYmXA3sn2svuzb4OcLXzBzfxLrkaP+gmSVWo4HDmf4afmsgr4VKQsKB3/fwEL+7hDJjIukmXG3Ka4HbC6G5g0NemOV0oK+J5rs7c9RlATiR5migiCng9gCRNy2+H/+mlJvIMtPz6erO6Dxd4d8L4U8RCqb4nxfCV8SBEfA/nGfa0N3xujkvKPqFHzrtOzhZD0KIjkm/7sDfP2e6ggjR2kj0dyU8KYPzPa7HbkorIhP9Z71ubkxZqxqOqRpb3oWCPezHuup8Q+GOYrK1ViSwZp+iJdiAAOtE2b6qbt7awBZf8a5Ua7eXgDeKx2U7tbBeojxR7Q1sXWcPELD0oG6+IJ/vfsSI83r71AIO71a6uHudUYHt4tzbxFT9hojyLJdRT68ICoYlLtqwDy3bjPeIYJDLe5yd76skzTwiEf2RmOc1hJNWHkC0KT0IBSPxTip8r/F2285GSi/cOOd24hDA93ZkAz3HvwDMPs88z8sy59ihnmbAp14NvzMYEQ0snWHMKt242xZyXndkvS3oXtR4u9Om4HbPD3UdaSpOFtU3vwLs3QOs+wCoWhf8mDrXOPf38vlsU3/fKwHIL4rCHR9E5rZ2zWRTT/7mFuMknxwH9EgKX9QOygB+cy5QXWtHtkUdNNBbd9CUN3SGDAghutJAnRCtiUR/FyK6W70S+ZCURXDDGnXIH9F3C+JQNCT4nf7r4UDtxbKCppi9cTt5P+SOpjmCrnpTw27h7vfcGQHBRHeoMgZ3hgGj2qFKFILds6U0IQrObQ7nu6E49w40eMWLs03hmtC5OxGEQ2u1pwsFo52R3Bt7Ny+SvvGRwMwBZlk0JvhKBwLFMX7RfyjH1Lpb2xpjouJMD+fvzv3bc+9Hz7HA0DOBFZuAHg10Ogh2nN49DMzJMINw7hr9oB+yfy/5pcD17wJfGQlsHAWkHfNHk4NF+h2e+rwZZLnvxuDvcxn8Ta4fab4Xmu01VOLQkWltb4IbhgMD082j6jPA3SG1LtLvKbN6Y7MxsHvTbsn4jef4hfZscD1fmQ78bz2wcBQwsQ+wrcCkslKQsm98U4nU7K6rkJkM3MO+vEIIIYQLif4uRFQE33beMZOaHk7t/dB/t2xEKlzRxyipVRfdhIiaZWwXBfTwRLHprB31bSChgRR7d6ptwABGMKf9ENvm7YHd0HaGNV8Y77t7p4eCQt6bcu4V9xwUoFN5vbTgRtYfbiZCS2QshILO8BSNVts4X8PtyELhndcbTXfMz5q9rQkmah3TyGBNYVXghZyCn33X67bHboE4ZGvg59wDVn+uALYy8+dK4OT+wKVPB18XW+pR2NfV69vlDRygoMhm2njAtvUA+rv9IGx2HAEOpgP/bxWwkD3C6RUQZwbhQn0X9JtgG8i9uYHmnO75afLH8zWfrfSijJHhyR9Fdl1yL7s5hPvb5aBT0M+3cHQ/cOENu9fXuFq2OeVGNBN8aEV4i4+LBn5wmhHmTDGfY5dhkSmKzAshhBBtjjqgipCwZZ23Z3ZERHjTevpiY5IXrv5ybvaDpUg39Z7dWbdbJNBfwHrPXo97IMSpa/ZOr/tsiEGTzMIWFv0tlCbO/XfXeQfrssB5Bu4CsiJIiecX4i5baG0oTteOrT+d27B8mmn15iaidnXe9HOPeHJHSb1UxUSWGdBQer77HHRvU9gDGPZ8B3sCW13rsTo4BGHrIGDrkPolPByYqIkH9vc1HRq8gyzBftABKfhRpjVkdVzDkX5+d30OAFOWB4pyd4kNnf+PsQbd/szugWYwIRTBMhMiGQBqiEgyYZxrTFsNfjW26MSS+te4UB4rDkzPZyT/NwuBP15ooviqKRdCCCE6Bor0i5A010ytMbO+YDe5bD8XrtBl7XRZYsM39S0Bnfl3DDJt6Jg67cbnEf1uARIJHGSgcGfmweGs+uKp0W10tb9qLgHtxIK8z+8nUrd6q0y/jetLKcYpWAKivD4gscxzjnlEc2O45w3WYaLB0zdCv4K9dpcHx1eBH/Wu0jrnwhD93uklycYcb9nM8AZANg0H4mk2abd/dBbnnPPBzn0OgHCAxesLEYqg3TTsFTm/80jEsJUpEWH5T0udp5Esht0y2Mq0LSP9z38G9OttovLbPB0caI44ZJs5v+vaMgbZofREH5JiqnH2qBjMH64YghBCCNFRkegXrUao3uKN3vRHcFNPYzj2kPbCG9SWqg3vfhQYbruTMwpO47G69bjmo7dAc6LZffYbwU0n8s9Oqr/8diFYy0BfYIZDOFDAtKXoD7UuTuaARVSY7SG90OCMbc2c+vlg62ksayCS75SCiwZ3DYlmDjy51xlq373bRUHO9nbx0cCXRgDn9geOVAA7QvxuM3sBxWw5GRX4+7pwGLB2R/D1ZqYCvfj73Bt+FDzkdxeB74WbljbBC5tm/nhb2tvCW7ZAl/2fvWaeD6Y5qGtennMsE3EPqPJ7oeEeU/XXHwLOHM4Wez7k5RUgJ8czGiqEEEKIDoVEvwhOC9xwNtXgLNK01n4UIq2IV4Rkh+hrbhkKNuO4OcLOHUVv6+i4l1CR/kgd0tn9oDEDx5Yk0q+hsdRlcjwZ2DK08aKoxr6zlv5KvQMwXD/r350e76G2i4MA4zOA/7fAPy0jEYjKANyd/Aij9Za7v01ZkskEiksHuiWG3u/4RCCvFHBaEH881XSeGHI28JPuQAwjzosCa/LreXTYy00IkSrudpoPBmvR0z2GnS3x+2LpAgc2eZ0LVsbjmJs2lZY8T3hc140GJq8yr/f1bXzly6cCg3b49+PnC4DBnnaete01oCKEEEKIiFA+nghKOAZ+jcEoYpNo9/B2IN4646gGjlmTo4q1IT7bAVou1esR7ousBp7087RZa20aE3PeSHNjkX6+v31w8CvmtkGe2ucGltUagzg00vPW9HNQJiGtcdEfE2R/ouIab6NI0U8xnXWafzAg2L4dqQSKXOn1B3sDayYAxw4CD38EZCXU3xevJ4JTNhBni1cvb58GFKcCBfMRlA9nAsdSw7/WtNR3FEnrxmBE2h2jIdaOByoSgSc/DyyZ6c8kcvAO4kXRlLFb4OAA+0kLIYQQ4sREol8EhY7b7GXfHJprptdRUmMZxQvHbb85N+lex/yOEulPKK+fecHXTR7QiQCa3jWZqMgGtRqL9FNUUpAGI/F0YNMwv+leY8tqznca7KNeszwuf3AGcO59wFl/cX22NvR2bMkHfv4asDkfiA5RouI+DbiP5UnAR8eAJ9fWX55DQRVwPIgx4K4tps/7l4J0CXAvh1F8ZlhY0/OAdWOAlRMDt4mdCl65BRj50/rL4sBGQRawZThOKHjNaa6nSjCYAbJiWv3pFPelqcA+u1QqPsjgSpTuFoQQQogTFqX3i6Ccv8g4Wxdktr3wbos+7elFJvqcl90xemYz/T1Y1LmlDkVTncATg9V3s6a/BUQ/TRgbSvm3BhaamHHS2O7Wi/Q3R9DEmSiq4+dAgzzvtoSr873t8Bqjlj+W6KiA/eW+zLsQ2HwESEswwpnnr3eghvPRlG/3EeD2N8y0P7wP/CaEQK52fRc7xgBJh4Gd3YCeJaFFP8+TN+YD/XcD2+2MCDdcv39fTMTZvRxG6XnuMsV8bz+zPLbto6ngsC1mEMD6LM9Jz3fKrgQfngec8r/wPRtC7Ud7X69aCus6Zp/rgzOBz00H+qSZFoqLEoFjtolnWgqQ7xl0iJboF0IIIU5YJPpFSCIRH8FockCzJXpkN/J+L9uIbdCu5q+rbp3N2O5QmQQt1j6shVr6EW5SJCKqqaK/WUSY3t9YXXiDxPij33Q9j2dN+ib/22vGARPsaHhjNGvwwSbnRuCm5f5Ny5xkOmlk8uGZt6gU+NErrtflwE8XA9/wzMdT+8hxwBnPOMjSAbt8IC/HmF2yTSJNKN1QpLMTxd++1vh2lycCFQlAalHgdAr/xAqgKB046zV/mQDN5pysigPFwI9eBibYnznQC7j/68DAaGBWT6BgfePrd+9rJLSbUWATsAwY7ecZKcAo271vQhLwsmu+BNunwY0i/UIIIcSJi/6Mi1bDnU4cianfiRQ5aykfBGYetCYteUytZXUAr4GG8EXoZN+crgslbuPF6CBlHm5nfbQO7v15cJv/eY3PZCHszQVeOB84mu5/j1H1vUcbXpYDW/sVZpjnpUmB7y08CRh4IXCod5BlNSUjxLN+llVQ8Htxl1G4MwYcTn0XGPgBsL0g9GBK0NOjHc7tzAKge2Hw91pigM0Nvz+WhEwbFnqeZE+2CpHoF0IIIU5cFOkXbSI0a0I4XAf9HE5Mxn0WKKo6Ei0ZjTwhBmUaOYl2DgRy9wD7baEaaTcCuAYV9uwAcsL1dvAY4u3uZ7pBND3jIQrZM4Bda0w6uxNZD0ZRd+BP3wGGbQSGbQVqXNkNQzKBsipgf1HgsXh1gRHdW4cApclASQpw3I7wp8QDE/sCl40HoqKAqycDT/4vcJ19MoBbzgdu8kwPBpddzzSSUWeayoV3MAKwumCUAYdLgVA+fh2FXt52CS529wcGtlBGEs9XGiXyMA9toHQr3TbtCzAwPVEvzEIIIYSQ6O9K5B0F2tKAuSPX9LdFbX6H4gQ+pk3hSI+G36e53MZRgXX0u3KBAZ42d+HgjSJHkqJfmAV0O968MoeHMoFpKcCn48Kbf/sQIMtuD+lw62lAdS2wIQ944T3/9JMGA0/bpm6zBgOzRgHdk4zrf3aQFnqZc4DDHwBR9gBfdncgO4iRn8PUXABLG97e758GDO0N3LAeqFyDJhFJmUx7m2e2dqSfVGcAPYJE8x26N/L7EUIIIcSJhRL2uhAb97bt+rqi6O8KdPTvh63kyhoQNF6cdPUjmUBRiJAwd3m9PUjgxSvy359df56DOWYZG0aiWRSl1C+VCfV1eLXi2nFAQlz97gK3zAGS44G0RGB6f+COhf73klzZABP6ACNzgF6pwQU/mf914Px7Xdtgfz7drhFny71PJgG9+gP/vBS4aXbD51WRnVUQHQXE9DQDNMGgGd23gxz3lvRKaC9achCCnRDoMXH85IbnS0oyv4VQx1sIIYQQJxYn8K2Q6LTisIOLyjahA5uDdXTRH6kpX5Jb2Lj27ZArZ5/t+LYOA3YMAAoyPJ9PCxRmVQnAkUmB8xzsAyyfDOTbxmlNPRWYvv+Z7VjfGKcMBB670rWcaODcKYHzjO4JTHL1YifRCc37CxEb5PPMJODxXDEFyM8Bxk4BEhsQlNsHAutGATuG+AcvohKB904F3jqt/vwcFOiX3jkj/S25PUcygAN2W76GYCr/sunAmvEtt24hhBBCtB8S/aLjRfrRtWGLsskrgTi6wLcQJ5LDeEsSToS3vDr4uecWW050fPvg+qUDuUPrn+uxQTIGfE1sc7h1qGdCI/vUy46OzxhQvw57TC7w49Mb/nxUM0wN64l+W9j37wGsmgSUBDkuyfb2bhkGbBxhnh/OAd6xxb17F1iPXhmkh3ww6K9xtF8niPRHt88AAr0cWAqSORIYP7fltkEIIYQQbY+S90Sr0dTe8B09ktwWUKT3a8FyjKEuR/fm0uG/n6jI6qEDhFCIfaPbuSOE9tlC0t3ezG5Vb7FqApCUDRR/YkoNgq7HE71viOIGXejqt1L42Xzg0HFgWFb9uTkIwOlvNrDE6Gb+VeDntw8CYquB/ragb4hLvwfsXA/8Yigw64OWGwX8aAYwMAZI/uDEjvS394DDxK8BI5s4YCWEEEKIjsEJHP8QHZ1EVyuziOjoorKL0+FFv4t6Ed4g285JTp18KL1HYf7qmUCUnRrNNH8OKOzqby/D9cFDvYCoBGDbUCCvl2s9oRYeYjrr2fMHAuVJgcvw+g7cf3Hg627xwPDslnFbrw0jFTwYe/oDOwaHN29KD2DsKUB1XP3BlJREYEB25Ou3sjHs/Wfaf0SiH50XDWgIIYQQXRNF+kWr0WDrsgbQfalordToUH3ZWbs8ZBtQkAmkHA+xsCh/6jvr+4+xhjzaiOvmDISE+qjV5jKj/iBGhW2K5xDfClfx9NuBqsMAhgPYH/nnTxkFfLgBOL0ZNeGDRwBfmQXENCHK7BgAkqxuQFHUiXsBqmmh7aEpX60i9kIIIUSXRKJfdDhOpEhyV+RE8geojAe6lTYS6Y8yteZrJgBrTwLmvAeklJhWeg3iDChEmR72TY2yxjRgPEhX+l4e4d8W9Lrc/L97Q9M+/4W5wGWzgdhmiMx5I5sm+L1wUCZUTf/m4cCY9aYMI9Wu0ehol59gNf104Q84r8OAfghCCCGE6Jp0KdG/fft23HLLLUhISMATTzwR8N5vf/tb7Nq1C8nJyaisrMQf/vAHRLVEfmwXRi37IoMp5rF2f/OOTloRTgj29gUSKoBku9Qk2C/afbqVpABfvx/4yzfCEP02vEww+s469h0DQ88XSnhGNVBkRVf6ucOAAzjxaI7gJylhGvaFQ6gBF7YPZKlGTj4wbYU98QS47HN/2P4wsQXNPoUQQgjReelSon/ZsmU466yz8PbbbwdMP3LkCO6++27k5+cjOjoaY8aMwdq1azF+vPoVNYcT4N65Q1FzAon+kCnwHYyaOGDLUGD8p/YEX8Mn6n5P+7qwsD/P2vuGnOVDOshH+EOZexmANyL7TJengYEVdgrIKfC/Vt27EEIIITobHcrIjxH2W2+9FbGxsdi5c2e995977jlMnToVs2fPxpw5c7Bu3bqIln/FFVdYUX4vnJaYmIiSkhJUV1dbz3Nzc5u1L0KRftE+RHr6JLnSnp00/ecu9Dv2N0qYIrEl2sb16AmMndX85QghhBBCiK5Dh4n0U+RTlA8fPhw1NfXDnR9//DGuvfZafPLJJxg2bBgeeeQRnHnmmdiwYQNSU42d9ZQpUyzR7uXll19Gnz6hbaiZ0v+rX/3KWn9KSgoWLFiA9HS6dIlm0VTxLtEvmlkDvW4UUNoNqOHz0cC9N4WeP1gVzxsLgJM/BAbsaXx94QaGG2vNFxbNiEK7ze1EaHT5EUIIIURno8NE+hllf/TRR3H99dcHfZ/p9wsXLrQEP7nqqqssgf/QQw/VzbNixQqsXr263qMhwU9WrVqFe+65By+++CKefPJJbNmyBQ8++GAL72HXo6n6RNm1hqRyIK24vbfixKQw04j+smRg/ZiG5212OncYn6dRXHs5p0++CHhnDlCkccywUHq/EEIIITobHSbSP3bsWOv/vXv3Bn3/zTffxM9+9rO616y9nzx5MhYvXowbb7yxWevet28fsrKyrGWSXr16oawsdJP5iooK6+FQVGRczWpra61Hx6WNx3gUMusSdfMnOjU+nqjhKT0fgs1bW++35fP5p9FwjfX+DS019Pp9qK31uZbvfW2uO97X7stQcnfgULx531f3nnd5Idbu889b6wtcbuREBxyf+svyHEPPfvgsNR7ucfJPN/sQgZLvAqLf56v/vfusHY+qd/5a30OIY8JzzSyrI//dE50ZnYOiK5yH1iXZ/TfU8/dRdG1qwzwZOozob4iCggJLWPfs2TNgOsX58uXLw17OokWLrGg+I/l/+tOf8O1vf9uaTnO/l156CT/4wQ+sVH+u64Ybbgi5nLvuugt33HFHvek0AiwvL0fHpVebrq0L3DuLTkBNg6I7kFqr9CgWe3KB7MNAXjZQWsreaSkB8xUVM0UjvNA6bxTqxJZnMzi4eOQIR38yzbZWVyMvryDgt8zrDuC/Nubn5wW0uiuKTgRiu9ddS1Oqauo+Tx+VvLwjIbetuCipbj94XczLa8b1Ld6/zcXFxcg7VhbyfWtbCw8jttL/h6w8Jh2ICT56wqyvwsKjALIDprNUrLy8inkzYW9mVxirrKqqQl5eYcC06mqeY3H+gWzXOZOHmpA3GseOHbPOYWfQXIi2ROeg6ArnYUFFTMDft8LCQiRU1i9nFl2TYuues5OIfnNTbQz33PC18144sDyADy80Drz//vvDXs6PfvQj3HzzzXWveYNE47/s7Gykpalw1kGGfJ0X1srHdJJR5sxu4Q9PRdtqujgNWHIyUB0LjEi23f9cpNk+I8Hw/izcrUG9op/XuB494nHIfh0TG4ucnBwcc83D646b7OwcxLqu7GmVvIia55mZmch26bf4+HhreaFIdelCXttycppxfTvqWm5qKnISUkO+b21rRhZyjO60SDweBVC/B4HX8IwMMzDiJiYmBomJkdVVdIX0/ri4OORkBH7vsbH+Hbf+jrnOmZyY0De6PH95DkpwifZA56DoCudhjUfqZGRkBPx9FF2bxMTEziP6GX0n7pR657XzXlvCG/FgXQD4Q9cfHRcS/Z0Wit0YislOQEJ8+CovypURUG2CooiKqv+bDzatoaU29F50dFQDr811x/vaPcltVBjF9wJ+l/WXF/Cu663oqMDlNoeoMJYV1cB+BJk7xH5ENfK5oB/p9PDm1Hu8okKcv97vIfiy9LdPtB86B0VnPw+9txSNXZdF1yI6zJPhhDhlGGmgm/6hQ068y3Dw4EEMHjy43bZLoKvfO4smUtL2Y3Wh0YnaJdg4vL23QAghhBCifTghRD+ZN2+e1a7PgXUzK1euxPz589t1u0TL0jMPSOgkEWQRnCPdga1D0GGIOBIsTkj2DAjvvOsK6f1CCCGE6FqcMKL/1ltvtYz4tm7dar1+/PHHrXrNa6+9tr03TQgRAUWpQG1sBxJfEnmiE4v+rUqGE0IIIbo8Haamny7SCxYswNGjxs3p8ssvt8zxnnrqKev1tGnT8NBDD1nTk5KSrPqF1157zTKEEkJ0PtpKfLV5pD+C9Zl2c0I0nWPhNZEQQgghRCemw4h+uki/8847Dc5z0UUXWQ8hhDhh850k5Ds0+nqEEEII0dk4YdL7hRCiVWjjSH9tZB3kRBujyLgQQgghOhsS/UKILk1bp/d/OhaoTAR292vb9YqGWXOScfgvyGzvLRFCCCGEaFkk+oUQXZtmiv7YxMjmP5oBlP8eKMwKY2blmrcZFUlAfo7+KgohhBCi89FhavqFEKJdaKLIGzsAmDsWWJLU0hskhBBCCCFEy6GYhhCiS9PU9P7BvYDR/Vt6a4QQQgghhGhZJPqFEF2bTtaXXQghhBBCCDcS/UKIro1EvxBCCCGE6MRI9Ashugy+KKAmGqiKbT/3/kiYdXF7b4EQQgghhDjRkegXoo1pC0P2ivg2WMmJSBRQmAkc7NXxr4JZfYEePdt7K4QQQgghxIlOB73dFUKINqKDRvo7cgaCEEIIIYQ4cZDoF0IIIYQQQgghOikS/UIIIYQQQgghRCdFol8IIYQQQgghhOikSPQL0Q4O8kIIIYQQQgjRFkj0CyGEEEIIIYQQnRSJftFqxFe09xYIIYQQQgghRNdGol+0GunF7b0FQgghhBBCCNG1kegXQgghhBBCCCE6KRL9QrQxMvITQgghhBBCtBUS/UIIIYQQQgghRCdFol8IIYQQQgghhOikSPQLIYQQQgghhBCdFIl+IYQQQgghhBCikyLRL4QQQgghhBBCdFIk+oVoY+TeL4QQQgghhGgrJPqFaEN87b0BQgghhBBCiC6FRL8QQgghhBBCCNFJkegXQgghhBBCCCE6KRL9QgghhBBCCCFEJ0WiX4g2RCZ+QgghhBBCiLZEol8IIYQQQgghhOikSPQLIYQQQgghhBCdFIl+IYQQQgghhBCikyLRL4QQQgghhBBCdFIk+oUQQgghhBBCiE6KRL8QbYjc+4UQQgghhBBtiUS/EEIIIYQQQgjRSZHoF0IIIYQQQgghOikS/UIIIYQQQgghRCdFol8IIYQQQgghhOikSPQL0YbIyE8IIYQQQgjRlkj0CyGEEEIIIYQQnRSJfiGEEEIIIYQQopMi0S+EEEIIIYQQQnRSJPpFxFTHtPcWCCGEEEIIIYQIB4l+ERG1UUCtzhohhBBCCCGEOCGQfBNCCCGEEEIIITopEv1CCCGEEEIIIUQnRaJfCCGEEEIIIYTopEj0CyGEEEIIIYQQnRSJfiGEEEIIIYQQopMi0S+EEEIIIYQQQnRSJPqFEEIIIYQQQohOikS/EEIIIYQQQgjRSZHoF0IIIYQQQgghOikS/UIIIYQQQgghRCdFol8IIYQQQgghhOikSPQLIYQQQgghhBCdFIl+IYQQQgghhBCikyLRL4QQQgghhBBCdFIk+oUQQgghhBBCiE6KRL8QQgghhBBCCNFJkegXQgghhBBCCCE6KRL9QgghhBBCCCFEJ0WiXwghhBBCCCGE6KRI9AshhBBCCCGEEJ0UiX4hhBBCCCGEEKKTItEvhBBCCCGEEEJ0UiT6hRBCCCGEEEKITopEvxBCCCGEEEII0UmJbe8N6Az4fD7r/6KiInRkyiqBkprIPnO8OvAztVFAdRQQH+FyKmqAqgg/cyJQWhXZMa22/4+tad1j1NrHuznL5znF48b/GzqPymqAmiasg8utLANqY8z5Wlvs/46O15jfQYX93ZG4MqDSvhJWHwd89s+43PV74bycXsH3y+xllfA3D5QVmfWRqlIzX8lx//Irosw63bjf5/Ym1NTf59IKs/yiEv921FSZac7r2igfioqiApbP92NdV3Yux3fcXm8UUGQfA+u9cjN/yGNZ4t+3Ent/m4pzXK39rAaKKuu/z+PnbFsx9901LF1ZAvjs95xtcihPAIqK/Z+tKjPLq44Gjpe59tfze60oN+eJ8z7Pi9owr5NtdU0Ldo3ha15DqmvC+3ytz+yjc37zfPd+leWl/uNaWuQ5Z2KCL7u2thbFxcVITExEdLRiCKLt0TkousJ5WFxq/j7Glgf/+yi6NkX2zZmjR0MR5WtsDtEoe/fuRW5ubntvhhBCCCGEEEKILsaePXvQr1+/kO9L9LfQCN/+/fuRmpqKqKio9t4c0cqjaRzg4Q8rLS2tvTdHdFF0HoqOgM5D0d7oHBQdAZ2Hoj2hlGemSZ8+fRrMNFF6fwvAA9zQyIrofPCirgu7aG90HoqOgM5D0d7oHBQdAZ2Hor1IT09vdB5VhAghhBBCCCGEEJ0UiX4hhBBCCCGEEKKTItEvRAQkJCTg5z//ufW/EO2FzkPREdB5KNobnYOiI6DzUJwIyMhPCCGEEEIIIYTopCjSL4QQQgghhBBCdFIk+oUQQgghhBBCiE6KRL8QQgghhBBCCNFJkegXwsNzzz2HqVOnYvbs2ZgzZw7WrVvX4Pzbt2/HJZdcgtNOOw1jxozBjBkzsGLFijbbXtE5ieQ8HDlyJObOnRvwGDp0KE499dQ23WbRtc/DiooKfPe738X48eOteadPn259Xoi2OgcrKytxxx13WH+HZ86ciVmzZunvsWgReG7deuutiI2Nxc6dOxud/4MPPrDOQ56z/P/9999vk+0UIiQ08hNCGJYtW+ZLTU31bd682Xr98MMP+/r27esrKioKOn9eXp5v4MCBvnfffdd6XVVV5TvttNN8//nPf9p0u0XXPg/nzJlTb9oll1ziu++++1p9W0XnJdLz8Kc//al1PTx69Kj1euXKlb74+Hjf6tWr23S7Rdc9B2+++Wbf2LFj697n3+IePXr4Dh061KbbLToXO3bs8M2YMcN3zTXX0Pzcet0QO3fu9KWlpfnee+896/U777xjveZ0IdoLRfqFcHH33Xdj4cKFGDZsmPX6qquuQnV1NR566KGg8//617+2oglORJUjwA888IAirKJNz8N//etfAa8LCwvxxhtv4Morr2yT7RWdk0jPw9WrV1sR2fT0dOv1xIkTredvvfVWm2636JrnYG1tLe6//3588YtfRGpqqjXt8ssvt9qo/e1vf2vzbRedh5KSEjz66KO4/vrrw5r/j3/8I0aPHm1lpxBG+0eMGIE//elPrbylQoRGol8IF2+++SamTJlS9zo6OhqTJ0/G4sWLg87/7LPP1hP4TKvu06dPq2+r6LxEeh4OGjQo4PV//vMfnH322ejRo0erb6vovER6HrLMiSmsu3fvtl6/9tpryM/PR8+ePdtsm0XXPQcPHz6M0tLSeudbr1698N5777XJ9orOydixY617u6aet4QDoqGunUK0BRL9QtgUFBSgqKgo6A3Djh076s1//Phxa3pNTQ2+8IUv4JRTTsGZZ56JV155pQ23WnT18zAYjIKFG5EQoqXOw+uuuw633XYbxo0bh1GjRuGcc87B5z73OVx66aVttNWiK5+D2dnZ6NatW92gE/H5fDhw4AD27t3bJtsshOP11Jy/4UK0BhL9QtgwQkCYCuiGr5333Bw9etT6nze5P/jBD7BkyRLr//POO89KrRaiLc5DL+vXr8fBgwdxxhlntNo2is5PU87Df/zjH1Y69ieffIINGzZg5cqVloEVo7NCtPY5GBUVhW9961tWid2+ffusaX/961+tcicOzgvRVvD8bOrfcCFaC/0lFsImOTm5zoHaDV8777mJiYmx/qfIp1s1Of300zFv3jyrnkuItjgPg0X5r7nmGgkt0abnISOqHPT86le/iiFDhljTeF18+eWX8atf/aqNtlp09WvhnXfeia9//eu47LLLrHrq/fv344orrlCpk2hTeH429W+4EK2F7gqFsMnMzLRMpw4dOhQwnVHTwYMHB00l5Mht3759A6YPGDBAKVyizc5DN4xmPf7440rtF21+HrJ2/8iRIxg4cGA9v4lnnnmm1bdXdD6aci3kYPz3v/99q10a/SV++ctfWmUCJ510UhtttRCwzs+m/A0XojWR6BfCBaP0TE11R6+Yojp//vygNxes42e9oBte6Pv3798m2ys6J5Gch25ef/11K8oaieGQEC1xHmZlZVmDoN7rIV8ruiXa6lq4du1aK53foaqqCh999JHlLSFEW8GsT/d5S1asWNHo33AhWhOJfiFc3HrrrVi0aBG2bt1qvWbUlOL+2muvtV7PmjULP/nJT+rm/+EPf4gXXnihzjiI9dQUXt/85jfbaQ9EVzwPHWTgJ9rrPGQ5Caezrp8Rf0JxRn8TGfmJtroWsp7/vvvuq3vNSD9d088666x22HrRVWB73Kuvvrru9Xe+8x2sW7fO8noizDrZuHEjbrzxxnbcStHViW3vDRCiIzFt2jRLOLG3b1JSknUjy7ZTTs9fmrC467QWLFhg9V294IILkJKSYvUPfvjhh3Huuee2416IrnYeOsaSbBP0z3/+s522WnT18/APf/gDbr/9divKxeh+cXGxZez37W9/ux33QnSlc3D69OmWhwQHCuLi4qz2fk8//XQ77oHoDFRWVlr3e46BM8/H3NxcPPXUU9br8vLyAB8dlnm+9NJLuOWWWxAfH2+do3zN6UK0F1E+5koJIYQQQgghhBCi06H0fiGEEEIIIYQQopMi0S+EEEIIIYQQQnRSJPqFEEIIIYQQQohOikS/EEIIIYQQQgjRSZHoF0IIIYQQQgghOikS/UIIIYQQQgghRCdFol8IIYQQQgghhOikSPQLIYQQosuyb9++Vl1+Xl4eqqurW3UdQgghRENI9AshhBAdjHPPPRcJCQno378/brzxxrrpS5cuRVRUFLZs2VI37ac//Sn69euHqVOnYv369a22TceOHcPcuXORmJiIhx56CG3Nzp07cfvttwdM474PHDjQ2q5IqampwfXXX4/33nsPrcmRI0dwzjnn4ODBg626HiGEECIUEv1CCCFEB+Oll17CqaeeiokTJ+Lee++tm/7mm29a/7/11lt10375y19iwoQJeOeddzB69OhW26b09HRrHb169UJ7QNF/xx13BEzjvl933XVNWt6vf/1rpKSk4IorrkBrMmLECHz1q1/FF7/4xVZdjxBCCBEKiX4hhBCiAzJv3jwrCs2ItMMHH3yAk08+uU78k6qqKuvRrVu3dtrSEw9mLfziF7/AD37wgzZZ38UXX2xlZyxevLhN1ieEEEK4kegXQgghOqjoP3r0KFauXGm9Li8vt2rDzz//fLz99tvw+XzW9GXLlmH69OnW86eeegqnnHIKTjvtNEybNg0333wzKioqrPd+/vOfIzU11SoZuPPOO61pDzzwgJUeP2bMGOzYscOa9sgjj2DSpElWpgGX9dxzzzW4ndymH/7wh1a2wZw5c7BgwQJ89tln1ntbt261Uu9ZkvD3v/8dn//85zF+/HicddZZKCwsDFgORfiAAQOs9TIyzgg8swq+9KUvWZkNN910kzUfl8cHSx3c/Pa3v8X8+fMxbNgwax8ay6TgccjNza2b5i1dePLJJzFy5Ejr+LjLLrp3724NFnzta1+zjjvLKrZt22Yd+7PPPhtDhw6tt37uP7+Tp59+usHtEkIIIVoFnxBCCCE6HNXV1b60tDTfXXfdZb1+8803fT/96U99H3/8MdW+b/Xq1db0O+64w/f2229bzy+55BLfSy+9ZD2vrKz0nXnmmdb7DjfeeKPv5JNPDlgP59m7d6/1/NVXX/VlZmb69uzZY73eunWrr1u3br4PP/ywbv4BAwb4/vWvf9W9/tGPfuQ79dRTfeXl5dbrf//7376srCxfUVFR3Tzc3vPOO89XVVVl7deUKVN8P/vZz+re/89//mPt67Zt26zXH330kS8uLs537bXX1s3DfQx22/Lzn//cl5KSYh0f8uKLL1rb7F6/l29+85u+s846q950777xOae5mTNnjm/w4MG+vLw86/WVV17pmzlzpu+JJ56wXr/yyivW9hQXFwd87u677/addNJJIbdJCCGEaC0U6RdCCCE6IDExMVbU26nf5/+nn366FYVnfb2T4v/RRx9h5syZ1vM//OEPlmkciYuLw0UXXYRXXnmlbplXX301PvzwQysy7Xau79u3r/X/r371K1x++eWWMSAZMmSIFaH+y1/+EnQby8rKrHXSbJDGg4QRemYl/Pe//w2Yl1H+2NhYa79mz56N1atX1733pz/9CRdeeCEGDx5svWYE3cleCIecnBwrM4LwmB0/ftzKMgjFoUOHkJGRgabCY5KdnW09ZzYEszEuueQS6zX3raSkpN76mSHA9QohhBBtTWybr1EIIYQQYUEhS4f6yspKS9zfdtttlmhmGj1F/ze+8Q1ER0fXCe6ioiJceeWV2LVrF+Lj4y3HeCe9nzAVnSnrjz32mJXu//jjj+MLX/hC3ftMy9+7d2+AG/7hw4etzwSDwpYC/6677sJ9991XN71nz56Wa72bPn361D1nmQG31WHDhg0488wzA+Zn+n24uJedlpZWdywaqunv3bs3mor7s8nJydYAAAc0iOOtwHW44SCM95gIIYQQbYFEvxBCCNGBRX9paSneeOMNSzQ64p7TOQDw7rvvWsZ+hNFtTr/sssssMc/BANane9vcMdr/r3/9yxL9zz77bIApILnqqqvqueQ3xv/93/9Z0e+G4GCFu8bd8SQIBecJF/eyHRpaPqPuND9sDLeJYkPrC2f9XF9zsguEEEKIpqL0fiGEEKKDMm7cOGRlZVkinGnrDhT3xcXFVts5J61948aNyMvLs9LoKfgJMwS8MLLP9P4///nPGD58eIDr/9ixY7Fp06aA+Wka+Ne//jXo9tG0juZ33s8w6s/OA+EyatQobN++PWDa7t27A147++SYB7K0oKnQINBrJOjA4+rglD+0BFwfMyCEEEKItkaiXwghhOigMNrNVPvly5fXiXtHnLOOfcWKFZgyZYo1jS7zSUlJdZF7RqlfeOGFest0HPK/973v4Zprrgl47yc/+Qn+97//Yc2aNXXZAz/+8Y9Dpvdzfd/97nctke+krrM13R//+EerI0C4fPvb38bzzz9fJ/y5v+6af+LU0HM9zFD42c9+hqbCOvxQNf/vv/++9T/r8uny31Jwfaz3F0IIIdqcVrMIFEIIIUSz+ctf/mI529P13s2ll17qW7hwYcC0Z5991jd8+HDftGnTfBdeeKHv+uuv9yUkJPjmzZsXMN8//vEPX9++fX01NTX11vfoo49aLvN0pD/llFN8jz32mDX96NGjlnM9lzdixAhruwgd+W+99VZrGl3858+f71u+fLn13oEDB6zP8HZj/PjxlsP+PffcYznip6enW873Dr/4xS98/fv3t+a/+eabrfe+9KUvBWwbp02YMMHato0bN1qdDZxlXX311XXb6Kzv9ddfD3pM6eyflJTk2759e8B0Lis3N9c3efJk30UXXWQtn/vLZZaWlvouu+wya12c73e/+53v8ccft/ab85xxxhm+goKCgPXTyZ/wOA8aNKiuy4IQQgjRlkTxn7YfahBCCCGEMDBVv7a2NqDUYMGCBZZhIbMPWgN2HVi/fj3+/ve/101jtgQ9EK677roWXReNE5977jk888wzLbpcIYQQIhyU3i+EEEKIdoUlCd/61rcCuggsXboUl156aaut86abbrIGGR5++GG0JuvWrbPaFz7wwAOtuh4hhBAiFHLvF0IIIUS7Qs8AtgacMWOG1WqQUX9GxYcNG9aqfgn33HMPCgoK0JqwnSC9FSLpRiCEEEK0JErvF0IIIYQQQgghOilK7xdCCCGEEEIIITopEv1CCCGEEEIIIUQnRaJfCCGEEEIIIYTopEj0CyGEEEIIIYQQnRSJfiGEEEIIIYQQopMi0S+EEEIIIYQQQnRSJPqFEEIIIYQQQohOikS/EEIIIYQQQgjRSZHoF0IIIYQQQggh0Dn5/63DwG2xuzlnAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from specutils import Spectrum1D\n", + "import astropy.units as u\n", + "import matplotlib.cm as cm\n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "plt.figure(figsize=(12, 8))\n", + "\n", + "# Create a colormap to assign different colors to each spectrum\n", + "\n", + "colors = cm.cool(np.linspace(0, 1, len(fits_spectra)))\n", + "\n", + "# Loop through spectra\n", + "for i in range(len(fits_spectra)):\n", + " source = fits_spectra.iloc[i]['source']\n", + " temp = fits_spectra.iloc[i]['value']\n", + "\n", + " try:\n", + " spec = Spectrum.read(fits_spectra.iloc[i]['access_url'], format = \"wcs1d-fits\")\n", + " # # Check if flux can be converted to the target units\n", + " target_unit = u.erg / (u.A * u.s * u.cm**2)\n", + " wavelength = spec.spectral_axis.to(u.um)\n", + " flux = spec.flux.to(target_unit, equivalencies=u.spectral_density(wavelength))\n", + " \n", + " # Only plots if conversion is successful\n", + " plt.plot(wavelength, flux, label=f\"{source}, ({temp}K), {fits_spectra.iloc[i]['telescope']})\", color = colors[i])\n", + " except Exception as e:\n", + " continue\n", + " \n", + "\n", + "plt.xlabel('Wavelength (μm)')\n", + "plt.ylabel('Flux (erg/Å/s/cm²), Log Scale')\n", + "plt.title('Spectra with Compatible Units (T_eff 1100-1300K)')\n", + "plt.legend()\n", + "plt.yscale('log')\n", + "# plt.xlim(0.50, 1.5)\n", + "plt.grid(True, alpha=0.3)\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "ca70d725", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from specutils import Spectrum1D\n", + "import astropy.units as u\n", + "import matplotlib.cm as cm\n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "plt.figure(figsize=(12, 8))\n", + "\n", + "# Create a colormap to assign different colors to each spectrum\n", + "\n", + "colors = cm.cool(np.linspace(0, 1, len(fits_spectra)))\n", + "\n", + "# Loop through spectra\n", + "for i in range(len(fits_spectra)):\n", + " source = fits_spectra.iloc[i]['source']\n", + " temp = fits_spectra.iloc[i]['value']\n", + " \n", + " try:\n", + " if fits_spectra.iloc[i][\"telescope\"] == \"Keck I\" or fits_spectra.iloc[i][\"telescope\"] == \"CTIO 4m\":\n", + " spec = Spectrum.read(fits_spectra.iloc[i]['access_url'], format = \"wcs1d-fits\")\n", + " plt.plot(spec.spectral_axis, spec.flux, label=f\"{source}, ({temp}K), {fits_spectra.iloc[i]['telescope']})\", color = colors[i], alpha = 0.7)\n", + " except:\n", + " continue\n", + " \n", + "\n", + "plt.xlabel('Wavelength (Angstrom)')\n", + "plt.ylabel('Flux (erg/Å/s/cm²), Log Scale')\n", + "plt.title('Spectra with Compatible Units (T_eff 1100-1300K)')\n", + "plt.legend()\n", + "plt.yscale('log')\n", + "plt.ylim(10e-20, 10e-15)\n", + "plt.grid(True, alpha=0.3)\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "39401535", + "metadata": {}, + "source": [ + "##### Bonus Example! Using SQL_Query (https://astrodbkit.readthedocs.io/en/latest/astrodb.html#astrodbkit.astrodb.Database.sql_query) we can pull out the values for various modelled parameters and visualize them together to get trends in the data. Lets take this example of comparing temperature to mass for objects with recorded modelled parameters for both. \n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "4fadd112", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 2692 objects with values for both Temperature and Mass.\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Get data from database\n", + "query = \"\"\"\n", + "SELECT \n", + " s1.source, \n", + " s1.value as temperature, \n", + " s2.value as mass\n", + "FROM ModeledParameters s1\n", + "JOIN ModeledParameters s2 ON s1.source = s2.source\n", + "WHERE s1.parameter = 'T eff' AND s2.parameter = 'mass'\n", + "\"\"\"\n", + "\n", + "# Load data into a table\n", + "data = db.sql_query(query, fmt='pandas')\n", + "data.columns = ['Source', 'Temperature', 'Mass']\n", + "print(f\"Found {len(data)} objects with values for both Temperature and Mass.\")\n", + "\n", + "# Make the plot\n", + "plt.figure(figsize=(10, 6))\n", + "plt.scatter(data['Temperature'], data['Mass'], alpha=0.7)\n", + "\n", + "plt.xlabel('Temperature (K)')\n", + "plt.ylabel('Mass (Jupiter Masses)')\n", + "plt.title('Temperature vs Mass')\n", + "plt.grid(True, alpha=0.3)\n", + "\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "simple-db", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/VisualizingDemo.ipynb b/VisualizingDemo.ipynb deleted file mode 100644 index 54c798167..000000000 --- a/VisualizingDemo.ipynb +++ /dev/null @@ -1,1224 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "7f0252a2", - "metadata": {}, - "source": [ - "# Visualizing Spectra with SIMPLE " - ] - }, - { - "cell_type": "markdown", - "id": "1fba3339", - "metadata": {}, - "source": [ - "### Brief Overview of Querying SIMPLE" - ] - }, - { - "cell_type": "markdown", - "id": "1f81a665", - "metadata": {}, - "source": [ - "##### To better understand querying, we recommend you run through the QueryDemo.ipynb notebook before you begin here. Once you feel ready regarding querying, come back here for some fun with visualization. " - ] - }, - { - "cell_type": "markdown", - "id": "dc4378d7", - "metadata": {}, - "source": [ - "##### In this notebook, we will mostly use the AstroDBUtils package to query the database. Find more information on this package here: https://astrodbkit.readthedocs.io/en/latest/#exploring-the-schema" - ] - }, - { - "cell_type": "code", - "execution_count": 195, - "id": "80b0998f", - "metadata": {}, - "outputs": [], - "source": [ - "import astropy.units as u\n", - "import astropy.constants as const\n", - "from astropy.io import fits\n", - "from specutils import Spectrum\n", - "\n", - "from sqlalchemy import and_, or_\n", - "import numpy as np\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib.ticker import MultipleLocator, FormatStrFormatter, AutoMinorLocator\n", - "plt.rcParams['font.family'] = 'serif'" - ] - }, - { - "cell_type": "code", - "execution_count": 196, - "id": "bf58d6a0", - "metadata": {}, - "outputs": [], - "source": [ - "# Load in the database\n", - "from astrodb_utils import load_astrodb\n", - "from simple import REFERENCE_TABLES\n", - "\n", - "SCHEMA_PATH = \"simple/schema.yaml\" \n", - "recreatedb = False #Set to True or False\n", - "db = load_astrodb(\n", - " \"SIMPLE.sqlite\", \n", - " recreatedb=recreatedb, \n", - " reference_tables=REFERENCE_TABLES, \n", - " felis_schema=SCHEMA_PATH\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "31d0bd60", - "metadata": {}, - "source": [ - "### Visualization Methods" - ] - }, - { - "cell_type": "markdown", - "id": "1348cffa", - "metadata": {}, - "source": [ - "#### Lets try first plotting a single spectra from a single source" - ] - }, - { - "cell_type": "markdown", - "id": "5554b341", - "metadata": {}, - "source": [ - "##### In this use case, we are looking to plot the spectra for the object with the most spectra available in SIMPLE. Using what we just learned, we can use SQL to query the database for this answer." - ] - }, - { - "cell_type": "code", - "execution_count": 197, - "id": "57abb8b5", - "metadata": {}, - "outputs": [], - "source": [ - "from specutils import Spectrum\n", - "import matplotlib.pyplot as plt\n", - "from astropy.io import fits\n", - "from matplotlib.ticker import MultipleLocator, FormatStrFormatter, AutoMinorLocator\n", - "plt.rcParams['font.family'] = 'serif'" - ] - }, - { - "cell_type": "markdown", - "id": "cabdecd3", - "metadata": {}, - "source": [ - "##### Lets do an inventory check of '2MASS J04151954-0935066' using db.inventory (https://astrodbkit.readthedocs.io/en/latest/astrodb.html#astrodbkit.astrodb.Database.inventory)" - ] - }, - { - "cell_type": "code", - "execution_count": 198, - "id": "ffb5f00c", - "metadata": {}, - "outputs": [], - "source": [ - "results = db.inventory(\"2MASS J04151954-0935066\")" - ] - }, - { - "cell_type": "markdown", - "id": "a9a16c32", - "metadata": {}, - "source": [ - "##### Now lets parse through that dictionary output to only view the spectra associated with 2MASS 0415" - ] - }, - { - "cell_type": "code", - "execution_count": 199, - "id": "d88e9426", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt', 'original_spectrum': None, 'local_spectrum': '$BDNYC_spectra/IRS/0415-0935 (LL2).txt', 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'Missing', 'observation_date': datetime.datetime(2005, 9, 6, 0, 0), 'comments': None, 'reference': 'PID3259', 'other_references': None}\n", - "{'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935.txt', 'original_spectrum': None, 'local_spectrum': '$BDNYC_spectra/IRS/0415-0935.txt', 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'Missing', 'observation_date': datetime.datetime(2005, 9, 7, 0, 0), 'comments': None, 'reference': 'PID3431', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.amazonaws.com/IRS/2MASS+J04151954-0935066.fits', 'original_spectrum': 'https://bdnyc.s3.amazonaws.com/IRS/0415-0935_IRS_spectrum.dat', 'local_spectrum': None, 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'SL', 'observation_date': datetime.datetime(2005, 9, 6, 0, 0), 'comments': 'SL2,SL1, There are multiple observation dates', 'reference': 'Suar22', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'nir', 'telescope': 'Magellan I Baade', 'instrument': 'FIRE', 'mode': 'Echelle', 'observation_date': datetime.datetime(2010, 9, 20, 0, 0), 'comments': None, 'reference': 'Alej25', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'nir', 'telescope': 'JWST', 'instrument': 'NIRSpec', 'mode': 'F290LP.G395H', 'observation_date': datetime.datetime(2022, 10, 16, 0, 0), 'comments': None, 'reference': 'Alej25', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'nir', 'telescope': 'AKARI', 'instrument': 'IRC', 'mode': 'IRC04', 'observation_date': datetime.datetime(2007, 8, 23, 0, 0), 'comments': None, 'reference': 'Sora12', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits', 'original_spectrum': 'https://s3.amazonaws.com/bdnyc/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'local_spectrum': '$BDNYC_spectra/SpeX/Prism/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'regime': 'nir', 'telescope': 'IRTF', 'instrument': 'SpeX', 'mode': 'Prism', 'observation_date': datetime.datetime(2003, 9, 17, 0, 0), 'comments': None, 'reference': 'Burg04.2856', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASSJ04151954-0935066_T8_LRIS_Burg03.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'optical', 'telescope': 'Keck I', 'instrument': 'LRIS', 'mode': 'Missing', 'observation_date': datetime.datetime(2001, 2, 20, 0, 0), 'comments': None, 'reference': 'Burg03.510', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASS_J04151954-0935066_2006-12-26.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'optical', 'telescope': 'Keck I', 'instrument': 'LRIS', 'mode': 'Missing', 'observation_date': datetime.datetime(2006, 12, 26, 0, 0), 'comments': None, 'reference': 'Kirk08', 'other_references': None}\n" - ] - } - ], - "source": [ - "for i in range(len(results['Spectra'])):\n", - " print(results['Spectra'][i])" - ] - }, - { - "cell_type": "markdown", - "id": "11009f80", - "metadata": {}, - "source": [ - "##### Lets first plot up just one of these spectra, you can directly copy the link from the dictionary and use Spectrum to visualize the data" - ] - }, - { - "cell_type": "code", - "execution_count": 200, - "id": "95856ade", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'JWST NIRSpec Spectrum of 2MASS J04151954-0935066')" - ] - }, - "execution_count": 200, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "jwst = Spectrum.read('https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits')\n", - "jwst.plot()\n", - "plt.title('JWST NIRSpec Spectrum of 2MASS J04151954-0935066')" - ] - }, - { - "cell_type": "code", - "execution_count": 201, - "id": "b4085d54", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'FIRE Spectrum of 2MASS J04151954-0935066')" - ] - }, - "execution_count": 201, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fire = Spectrum.read('https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits')\n", - "fire.plot()\n", - "plt.title('FIRE Spectrum of 2MASS J04151954-0935066')" - ] - }, - { - "cell_type": "code", - "execution_count": 202, - "id": "04555395", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'AKARI Spectrum of 2MASS J04151954-0935066')" - ] - }, - "execution_count": 202, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "akari = Spectrum.read('https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits')\n", - "akari.plot()\n", - "plt.title('AKARI Spectrum of 2MASS J04151954-0935066')" - ] - }, - { - "cell_type": "markdown", - "id": "d5bbef16", - "metadata": {}, - "source": [ - "##### The Spectrum.read function automatically picks up on the units within the fits file, and you can see from each of these that the flux is at different units so to be able to plot them all together we would need to do some unit conversion to better visualize them. Lets do that next!" - ] - }, - { - "cell_type": "code", - "execution_count": 203, - "id": "03d1c866", - "metadata": {}, - "outputs": [], - "source": [ - "# Converting the outlier spectra to the same units (JWST NIRSpec Spectra is in Jy)\n", - "jwst_wavelength, flux = jwst.spectral_axis, jwst.flux\n", - "target_unit = u.W / (u.um * u.m**2) # Desired flux unit\n", - " \n", - "jwst_flux_converted = flux.to(target_unit, equivalencies=u.spectral_density(jwst_wavelength))" - ] - }, - { - "cell_type": "code", - "execution_count": 204, - "id": "68f9176a", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(12, 8))\n", - "\n", - "plt.plot(jwst_wavelength, jwst_flux_converted, label='JWST NIRSpec')\n", - "plt.plot(akari.spectral_axis, akari.flux, label='AKARI')\n", - "plt.plot(fire.spectral_axis, fire.flux, label='FIRE')\n", - "\n", - "# Add labels and title\n", - "plt.xlabel('Wavelength (μm)')\n", - "plt.ylabel('Flux (W / (μm m²))')\n", - "plt.title('Multiple Spectra for 2MASS J04151954-0935066')\n", - "plt.yscale('log')\n", - "plt.legend()\n", - "plt.grid(True, alpha=0.3)\n", - "\n", - "# Display the plot\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 205, - "id": "8be90a1e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(12, 8))\n", - "\n", - "plt.plot(jwst_wavelength, jwst_flux_converted, label='JWST NIRSpec')\n", - "plt.plot(akari.spectral_axis, akari.flux, label='AKARI')\n", - "plt.plot(fire.spectral_axis, fire.flux, label='FIRE')\n", - "\n", - "# Add labels and title\n", - "plt.xlabel('Wavelength (μm)')\n", - "plt.ylabel('Flux (W / (μm m²), Normalized)')\n", - "plt.title('2MASS J04151954-0935066')\n", - "plt.grid(True, alpha=0.3)\n", - "\n", - "jwst_range = [jwst_wavelength.value.min(), jwst_wavelength.value.max()]\n", - "akari_range = [akari.spectral_axis.value.min(), akari.spectral_axis.value.max()]\n", - "fire_range = [fire.spectral_axis.value.min(), fire.spectral_axis.value.max()]\n", - "\n", - "# Annotate the plot with Matplotlib's hlines and text functions\n", - "\n", - "#JWST\n", - "plt.hlines(8.8e-16, jwst_range[0], jwst_range[1], \n", - " colors=plt.gca().lines[0].get_color(), linestyles='-', linewidth=2, alpha=0.7)\n", - "plt.text((jwst_range[0] + jwst_range[1])/2, 8.9e-16, 'JWST NIRSpec', \n", - " color=plt.gca().lines[0].get_color(), fontweight='bold', ha='center')\n", - "\n", - "#AKARI\n", - "plt.hlines(8.3e-16, akari_range[0], akari_range[1], \n", - " colors=plt.gca().lines[1].get_color(), linestyles='-', linewidth=2, alpha=0.7)\n", - "plt.text((akari_range[0] + akari_range[1])/2, 8.4e-16, 'AKARI', \n", - " color=plt.gca().lines[1].get_color(), fontweight='bold', ha='center')\n", - "\n", - "#FIRE \n", - "plt.hlines(0.55e-15, fire_range[0], fire_range[1], \n", - " colors=plt.gca().lines[2].get_color(), linestyles='-', linewidth=2, alpha=0.7)\n", - "plt.text((fire_range[0] + fire_range[1])/2, 0.56e-15, 'FIRE', \n", - " color=plt.gca().lines[2].get_color(), fontweight='bold', ha='center')\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "8fd5be27", - "metadata": {}, - "source": [ - "#### Now lets try plotting spectra from multiple sources using a couple different metrics we can decide on within SIMPLE" - ] - }, - { - "cell_type": "markdown", - "id": "2c729f9a", - "metadata": {}, - "source": [ - "##### To further understand what different ways you can query obects you can reference the schema in simple/schema.yaml and for a visual reference the github documentation: https://github.com/SIMPLE-AstroDB/SIMPLE-db/tree/main/docs" - ] - }, - { - "cell_type": "code", - "execution_count": 206, - "id": "595f56b9", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 213 spectra for sources with T_eff between 1100-1300K within SIMPLE.\n", - "Found 60 unique sources.\n", - "First ten sources:\n", - "['2MASS J03255322+0425406' '2MASS J07420130+2055198'\n", - " '2MASS J08304878+0128311' '2MASS J15031961+2525196'\n", - " '2MASS J23565477-1553111' '2MASSI J1546271-332511'\n", - " '2MASSI J2339101+135230' '2MASS J07584037+3247245'\n", - " '2MASS J08592547-1949268' '2MASS J09083803+5032088']\n" - ] - } - ], - "source": [ - "# Create a query to join ModeledParameters and Spectra tables\n", - "# This will find all spectra for sources with T_eff between 1100-1200K\n", - "spectra_temp_query = \"\"\"\n", - "SELECT \n", - " mp.source, \n", - " mp.parameter,\n", - " mp.value,\n", - " s.regime, \n", - " s.instrument, \n", - " s.telescope, \n", - " s.access_url\n", - "\n", - "FROM ModeledParameters mp\n", - "JOIN Spectra s ON mp.source = s.source\n", - "WHERE mp.parameter = 'T eff' \n", - " AND mp.value BETWEEN 1100 AND 1300\n", - "ORDER BY mp.value, mp.source, s.regime\n", - "\"\"\"\n", - "\n", - "# Execute the query\n", - "low_temp = db.sql_query(spectra_temp_query, fmt='pandas')\n", - "print(f\"Found {len(low_temp)} spectra for sources with T_eff between 1100-1300K within SIMPLE.\") #How many spectra did we find?\n", - "print(f\"Found {len(low_temp['source'].unique())} unique sources.\") #How many unique sources did we find?\n", - "print(f\"First ten sources:\\n{low_temp['source'].unique()[:10]}\") #Lets print the first ten sources" - ] - }, - { - "cell_type": "code", - "execution_count": 207, - "id": "02aa555b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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sourceparametervalueregimeinstrumenttelescopeaccess_url
02MASS J03255322+0425406T eff1100.0nirSpeXIRTFhttps://s3.amazonaws.com/bdnyc/spex-prism_SDSS...
12MASS J07420130+2055198T eff1100.0nirSpeXIRTFhttps://s3.amazonaws.com/bdnyc/spex-prism_SDSS...
22MASS J08304878+0128311T eff1100.0nirSpeXIRTFhttps://s3.amazonaws.com/bdnyc/spex-prism_SDSS...
32MASS J15031961+2525196T eff1100.0mirIRSSpitzerhttps://bdnyc.s3.amazonaws.com/IRS/2MASS+J1503...
42MASS J15031961+2525196T eff1100.0mirIRSSpitzerhttps://s3.amazonaws.com/bdnyc/IRS/1503%2B2525...
........................
208SDSS J151643.01+305344.4T eff1300.0mirIRSSpitzerhttps://bdnyc.s3.amazonaws.com/IRS/2MASS+J1516...
209SIMP J013656.5+093347.3T eff1300.0mirIRSSpitzerhttps://bdnyc.s3.amazonaws.com/IRS/SIMP+J01365...
210SIMP J013656.5+093347.3T eff1300.0nirXShooterESO VLThttps://bdnyc.s3.amazonaws.com/xshooter/IPMS01...
211SIMP J013656.5+093347.3T eff1300.0nirWFC3HSThttps://bdnyc.s3.amazonaws.com/WFC3/SIMP0136.csv
212SIMP J013656.5+093347.3T eff1300.0opticalXShooterESO VLThttps://bdnyc.s3.amazonaws.com/xshooter/IPMS01...
\n", - "

213 rows × 7 columns

\n", - "" - ], - "text/plain": [ - " source parameter value regime instrument telescope \\\n", - "0 2MASS J03255322+0425406 T eff 1100.0 nir SpeX IRTF \n", - "1 2MASS J07420130+2055198 T eff 1100.0 nir SpeX IRTF \n", - "2 2MASS J08304878+0128311 T eff 1100.0 nir SpeX IRTF \n", - "3 2MASS J15031961+2525196 T eff 1100.0 mir IRS Spitzer \n", - "4 2MASS J15031961+2525196 T eff 1100.0 mir IRS Spitzer \n", - ".. ... ... ... ... ... ... \n", - "208 SDSS J151643.01+305344.4 T eff 1300.0 mir IRS Spitzer \n", - "209 SIMP J013656.5+093347.3 T eff 1300.0 mir IRS Spitzer \n", - "210 SIMP J013656.5+093347.3 T eff 1300.0 nir XShooter ESO VLT \n", - "211 SIMP J013656.5+093347.3 T eff 1300.0 nir WFC3 HST \n", - "212 SIMP J013656.5+093347.3 T eff 1300.0 optical XShooter ESO VLT \n", - "\n", - " access_url \n", - "0 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", - "1 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", - "2 https://s3.amazonaws.com/bdnyc/spex-prism_SDSS... \n", - "3 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1503... \n", - "4 https://s3.amazonaws.com/bdnyc/IRS/1503%2B2525... \n", - ".. ... \n", - "208 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1516... \n", - "209 https://bdnyc.s3.amazonaws.com/IRS/SIMP+J01365... \n", - "210 https://bdnyc.s3.amazonaws.com/xshooter/IPMS01... \n", - "211 https://bdnyc.s3.amazonaws.com/WFC3/SIMP0136.csv \n", - "212 https://bdnyc.s3.amazonaws.com/xshooter/IPMS01... \n", - "\n", - "[213 rows x 7 columns]" - ] - }, - "execution_count": 207, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "low_temp" - ] - }, - { - "cell_type": "code", - "execution_count": 210, - "id": "ca9414f5", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J15031961+2525196: W / (um m2)\n", - "Skipped 2MASS J07584037+3247245: W / (um m2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J08592547-1949268: erg / (A s cm2)\n", - "Skipped 2MASS J09083803+5032088: erg / (A s cm2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J09083803+5032088: erg / (A s cm2)\n", - "Skipped 2MASS J21392676+0220226: erg / (A s cm2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "\\wavsamp version for S13.0, 2005 Sep 13, D. Shupe [astropy.io.fits.card]\n", - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "\\processing time 13:37:15 PST 09/13/2005 [astropy.io.fits.card]\n", - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "\\wavsamp software version 5.1 (Wed Apr 20 08:45:04 PDT 2005) [astropy.io.fits.card]\n", - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "\\character channelID = 0 [astropy.io.fits.card]\n", - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "\\COMMENT ========== Keywords from PROFILE table file below ========== [astropy.io.fits.card]\n", - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "\u0000 [astropy.io.fits.card]\n", - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "FCON_UNC = 0.000000 [astropy.io.fits.card]\n", - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J21392676+0220226: erg / (A s cm2)\n", - "Skipped 2MASS J21392676+0220226: W / (um m2)\n", - "Skipped 2MASS J21392676+0220226: W / (um m2)\n", - "Skipped 2MASS J00001354+2554180: W / (um m2)\n", - "Skipped 2MASS J08300825+4828482: W / (um m2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n", - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J16322911+1904407: W / (um m2)\n", - "Skipped 2MASS J16322911+1904407: W / (um m2)\n", - "Skipped 2MASS J16322911+1904407: W / (um m2)\n", - "Skipped 2MASS J02550357-4700509: W / (um m2)\n", - "Skipped 2MASS J02550357-4700509: W / (um m2)\n", - "Skipped 2MASS J02550357-4700509: W / (um m2)\n", - "Skipped 2MASS J02550357-4700509: W / (um m2)\n", - "Skipped 2MASS J02550357-4700509: W / (um m2)\n", - "Skipped 2MASS J02550357-4700509: W / (um m2)\n", - "Skipped SDSS J083717.21-000018.0: W / (um m2)\n", - "Skipped 2MASS J15150083+4847416: W / (um m2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J15150083+4847416: W / (um m2)\n", - "Skipped 2MASS J15150083+4847416: W / (um m2)\n", - "Skipped 2MASS J00001354+2554180: W / (um m2)\n", - "Skipped 2MASS J05591914-1404488: W / (um m2)\n", - "Skipped 2MASS J05591914-1404488: W / (um m2)\n", - "Skipped 2MASS J21392676+0220226: W / (um m2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "\\wavsamp version for S13.0, 2005 Sep 13, D. Shupe [astropy.io.fits.card]\n", - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "\\processing time 13:37:15 PST 09/13/2005 [astropy.io.fits.card]\n", - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "\\wavsamp software version 5.1 (Wed Apr 20 08:45:04 PDT 2005) [astropy.io.fits.card]\n", - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "\\character channelID = 0 [astropy.io.fits.card]\n", - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "\\COMMENT ========== Keywords from PROFILE table file below ========== [astropy.io.fits.card]\n", - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "\u0000 [astropy.io.fits.card]\n", - "WARNING: The following header keyword is invalid or follows an unrecognized non-standard convention:\n", - "FCON_UNC = 0.000000 [astropy.io.fits.card]\n", - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J21392676+0220226: W / (um m2)\n", - "Skipped 2MASS J21392676+0220226: W / (um m2)\n", - "Skipped 2MASS J21392676+0220226: W / (um m2)\n", - "Skipped 2MASS J21442847+1446077: W / (um m2)\n", - "Skipped 2MASS J21513839-4853542: W / (um m2)\n", - "Skipped 2MASS J21513839-4853542: W / (um m2)\n", - "Skipped 2MASS J22443167+2043433: W / (um m2)\n", - "Skipped 2MASS J22443167+2043433: W / (um m2)\n", - "Skipped 2MASS J22443167+2043433: W / (um m2)\n", - "Skipped 2MASS J22443167+2043433: W / (um m2)\n", - "Skipped 2MASS J11555389+0559577: W / (um m2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J23254530+4251488: W / (um m2)\n", - "Skipped 2MASS J23254530+4251488: W / (um m2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J02572581-3105523: W / (um m2)\n", - "Skipped 2MASS J02572581-3105523: W / (um m2)\n", - "Skipped 2MASS J12545393-0122474: W / (um m2)\n", - "Skipped 2MASS J12545393-0122474: W / (um m2)\n", - "Skipped 2MASS J08251968+2115521: W / (um m2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J08251968+2115521: erg / (A s cm2)\n", - "Skipped 2MASS J08251968+2115521: erg / (A s cm2)\n", - "Skipped 2MASS J00001354+2554180: erg / (A s cm2)\n", - "Skipped 2MASS J12545393-0122474: erg / (A s cm2)\n", - "Skipped 2MASS J12545393-0122474: erg / (A s cm2)\n", - "Skipped 2MASS J01033203+1935361: W / (um m2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J01033203+1935361: W / (um m2)\n", - "Skipped 2MASS J01033203+1935361: W / (um m2)\n", - "Skipped 2MASS J00303013-1450333: W / (um m2)\n", - "Skipped 2MASS J15232263+3014562: W / (um m2)\n", - "Skipped 2MASS J15232263+3014562: W / (um m2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J10101480-0406499: erg / (A s cm2)\n", - "Skipped 2MASS J08300825+4828482: erg / (A s cm2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J05591914-1404488: erg / (A s cm2)\n", - "Skipped 2MASS J05591914-1404488: erg / (A s cm2)\n", - "Skipped 2MASS J13314894-0116500: erg / (A s cm2)\n", - "Skipped 2MASS J13314894-0116500: erg / (A s cm2)\n", - "Skipped 2MASS J13314894-0116500: erg / (Angstrom s cm2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: FITSFixedWarning: 'datfix' made the change 'Set MJD-OBS to 51943.212002 from DATE-OBS'. [astropy.wcs.wcs]\n", - "WARNING: UnitsWarning: 'erg/cm2/s/A' contains multiple slashes, which is discouraged by the FITS standard [astropy.units.format.generic]\n", - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J15203974+3546210: erg / (Angstrom s cm2)\n", - "Skipped 2MASS J11181292-0856106: erg / (Angstrom s cm2)\n", - "Skipped 2MASS J11181292-0856106: erg / (Angstrom s cm2)\n", - "Skipped 2MASS J06244595-4521548: erg / (Angstrom s cm2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J06244595-4521548: erg / (A s cm2)\n", - "Skipped 2MASS J06244595-4521548: erg / (A s cm2)\n", - "Skipped 2MASS J06244595-4521548: erg / (A s cm2)\n", - "Skipped 2MASS J06244595-4521548: erg / (A s cm2)\n", - "Skipped 2MASS J16322911+1904407: W / (um m2)\n", - "Skipped 2MASS J16322911+1904407: W / (um m2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J16322911+1904407: W / (um m2)\n", - "Skipped 2MASS J20025073-0521524: erg / (A s cm2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n", - "WARNING: VerifyWarning: Invalid 'BLANK' keyword in header. The 'BLANK' keyword is only applicable to integer data, and will be ignored in this HDU. [astropy.io.fits.hdu.image]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J20025073-0521524: erg / (A s cm2)\n", - "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", - "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", - "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", - "Skipped 2MASS J02550357-4700509: erg / (A s cm2)\n", - "Skipped 2MASS J02550357-4700509: erg / (A s cm2)\n", - "Skipped 2MASS J02550357-4700509: erg / (A s cm2)\n", - "Skipped 2MASS J02550357-4700509: erg / (A s cm2)\n", - "Skipped 2MASS J02550357-4700509: erg / (A s cm2)\n", - "Skipped 2MASS J02550357-4700509: erg / (A s cm2)\n", - "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", - "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n", - "Skipped 2MASS J04390101-2353083: erg / (A s cm2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J21481633+4003594: erg / (A s cm2)\n", - "Skipped 2MASS J21481633+4003594: W / (um m2)\n", - "Skipped 2MASS J15232263+3014562: W / (um m2)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: AstropyDeprecationWarning: The Spectrum1D class is deprecated and may be removed in a future version.\n", - " Use Spectrum instead. [astrodbkit.spectra]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Skipped 2MASS J15232263+3014562: W / (um m2)\n", - "Skipped 2MASS J15261405+2043414: W / (um m2)\n", - "Skipped 2MASS J15261405+2043414: W / (um m2)\n", - "Skipped 2MASSI J2254188+312349: W / (um m2)\n", - "Skipped SDSS J151643.01+305344.4: W / (um m2)\n", - "Skipped SIMP J013656.5+093347.3: W / (um m2)\n", - "Skipped SIMP J013656.5+093347.3: W / (um m2)\n", - "Skipped SIMP J013656.5+093347.3: W / (um m2)\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "from specutils import Spectrum1D\n", - "import astropy.units as u\n", - "\n", - "plt.figure(figsize=(12, 8))\n", - "\n", - "# Loop through spectra\n", - "for i in range(len(low_temp)):\n", - " url = low_temp.iloc[i]['access_url']\n", - " source = low_temp.iloc[i]['source']\n", - " temp = low_temp.iloc[i]['value']\n", - " \n", - " if \"fits\" in url:\n", - " try:\n", - " spec = Spectrum1D.read(url)\n", - " \n", - " # Check if flux can be converted to the target units\n", - " target_unit = u.erg / (u.A * u.s * u.cm**2)\n", - " wavelength = spec.spectral_axis.to(u.um)\n", - " flux = spec.flux.to(target_unit, equivalencies=u.spectral_density(wavelength))\n", - " \n", - " # Only plots if conversion is successful\n", - " plt.plot(wavelength, flux, label=f\"{source}, ({temp}K)\", alpha=0.7)\n", - " \n", - " except Exception as e:\n", - " print(f\"Skipped {source}: {spec.flux.unit if 'spec' in locals() else 'loading failed'}\")\n", - " continue\n", - "\n", - "plt.xlabel('Wavelength (μm)')\n", - "plt.ylabel('Flux (erg/Å/s/cm²), Log Scale')\n", - "plt.title('Spectra with Compatible Units (T_eff 1100-1300K)')\n", - "plt.legend()\n", - "plt.yscale('log')\n", - "plt.xlim(0.75, 2.5)\n", - "plt.grid(True, alpha=0.3)\n", - "plt.show()\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "75b562fa", - "metadata": {}, - "source": [ - "##### Bonus Example! Using SQL_Query (https://astrodbkit.readthedocs.io/en/latest/astrodb.html#astrodbkit.astrodb.Database.sql_query) we can pull out the values for various modelled parameters and visualize them together to get trends in the data. Lets take this example of comparing temperature to mass for objects with recorded modelled parameters for both. " - ] - }, - { - "cell_type": "code", - "execution_count": 209, - "id": "7d061705", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 2692 objects with values for both Temperature and Mass.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Get data from database\n", - "query = \"\"\"\n", - "SELECT \n", - " s1.source, \n", - " s1.value as temperature, \n", - " s2.value as mass\n", - "FROM ModeledParameters s1\n", - "JOIN ModeledParameters s2 ON s1.source = s2.source\n", - "WHERE s1.parameter = 'T eff' AND s2.parameter = 'mass'\n", - "\"\"\"\n", - "\n", - "# Load data into a table\n", - "data = db.sql_query(query, fmt='pandas')\n", - "data.columns = ['Source', 'Temperature', 'Mass']\n", - "print(f\"Found {len(data)} objects with values for both Temperature and Mass.\")\n", - "\n", - "# Make the plot\n", - "plt.figure(figsize=(10, 6))\n", - "plt.scatter(data['Temperature'], data['Mass'], alpha=0.7)\n", - "\n", - "plt.xlabel('Temperature (K)')\n", - "plt.ylabel('Mass (Jupiter Masses)')\n", - "plt.title('Temperature vs Mass')\n", - "plt.grid(True, alpha=0.3)\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "27888c03", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a856bdda", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "simple-db", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.10" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From 8c60cbdcedef41f9360d1e8b8d98884c4260387d Mon Sep 17 00:00:00 2001 From: canavarrete01 <100876091+canavarrete01@users.noreply.github.com> Date: Mon, 15 Sep 2025 14:41:17 -0400 Subject: [PATCH 08/11] Adding plots --- Demo_Visualization_1.5.ipynb | 206 +++++++++++++++++------------------ 1 file changed, 98 insertions(+), 108 deletions(-) diff --git a/Demo_Visualization_1.5.ipynb b/Demo_Visualization_1.5.ipynb index c060621ad..ede85f833 100644 --- a/Demo_Visualization_1.5.ipynb +++ b/Demo_Visualization_1.5.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "c3f07789", "metadata": {}, "outputs": [], @@ -31,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "df6e6e0f", "metadata": {}, "outputs": [], @@ -68,7 +68,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 27, "id": "42ff9efd", "metadata": {}, "outputs": [ @@ -76,8 +76,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Found 158 spectra for sources with T_eff between 1200-1300K within SIMPLE.\n", - "Found 46 unique sources.\n" + "Found 55 spectra for sources with T_eff between 1200-1300K within SIMPLE.\n", + "Found 20 unique sources.\n" ] } ], @@ -97,7 +97,7 @@ "FROM ModeledParameters mp\n", "JOIN Spectra s ON mp.source = s.source\n", "WHERE mp.parameter = 'T eff' \n", - " AND mp.value BETWEEN 1200 AND 1300\n", + " AND mp.value BETWEEN 1300 AND 1350\n", "ORDER BY mp.value, mp.source, s.regime\n", "\"\"\"\n", "\n", @@ -109,7 +109,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 28, "id": "4f5eda18", "metadata": {}, "outputs": [ @@ -117,35 +117,77 @@ "name": "stdout", "output_type": "stream", "text": [ - " source parameter value regime instrument telescope \\\n", - "0 2MASS J00001354+2554180 T eff 1200.0 mir IRS Spitzer \n", - "1 2MASS J05591914-1404488 T eff 1200.0 mir IRS Spitzer \n", - "2 2MASS J05591914-1404488 T eff 1200.0 nir SpeX IRTF \n", - "3 2MASS J21392676+0220226 T eff 1200.0 mir IRS Spitzer \n", - "4 2MASS J21392676+0220226 T eff 1200.0 mir IRS Spitzer \n", - ".. ... ... ... ... ... ... \n", - "81 2MASSI J2254188+312349 T eff 1300.0 mir IRS Spitzer \n", - "82 SDSS J151643.01+305344.4 T eff 1300.0 mir IRS Spitzer \n", - "83 SIMP J013656.5+093347.3 T eff 1300.0 mir IRS Spitzer \n", - "84 SIMP J013656.5+093347.3 T eff 1300.0 nir XShooter ESO VLT \n", - "85 SIMP J013656.5+093347.3 T eff 1300.0 optical XShooter ESO VLT \n", + " source parameter value regime instrument \\\n", + "0 2MASSI J2254188+312349 T eff 1300.0 mir IRS \n", + "1 SDSS J151643.01+305344.4 T eff 1300.0 mir IRS \n", + "2 SIMP J013656.5+093347.3 T eff 1300.0 mir IRS \n", + "3 SIMP J013656.5+093347.3 T eff 1300.0 nir XShooter \n", + "4 SIMP J013656.5+093347.3 T eff 1300.0 optical XShooter \n", + "5 2MASS J05591914-1404488 T eff 1301.0 mir IRS \n", + "6 2MASS J05591914-1404488 T eff 1301.0 nir SpeX \n", + "7 2MASS J10430758+2225236 T eff 1301.0 nir SpeX \n", + "8 2MASS J10430758+2225236 T eff 1301.0 optical GMOS-N \n", + "9 2MASS J14482563+1031590 T eff 1315.0 mir IRS \n", + "10 2MASS J14482563+1031590 T eff 1315.0 nir SpeX \n", + "11 2MASS J14482563+1031590 T eff 1315.0 optical R-C Spec \n", + "12 2MASS J02050344+1251422 T eff 1321.0 nir SpeX \n", + "13 2MASS J02050344+1251422 T eff 1321.0 optical LRIS \n", + "14 2MASS J00345684-0706013 T eff 1323.0 nir SpeX \n", + "15 2MASS J15074769-1627386 T eff 1325.0 mir IRS \n", + "16 2MASS J15074769-1627386 T eff 1325.0 nir SpeX \n", + "17 2MASS J15074769-1627386 T eff 1325.0 nir SpeX \n", + "18 2MASS J05395200-0059019 T eff 1327.0 mir IRS \n", + "19 2MASS J05395200-0059019 T eff 1327.0 nir SpeX \n", + "20 2MASS J05395200-0059019 T eff 1327.0 nir XShooter \n", + "21 2MASS J05395200-0059019 T eff 1327.0 optical XShooter \n", + "22 2MASS J22120703+3430351 T eff 1329.0 nir SpeX \n", + "23 2MASS J22120703+3430351 T eff 1329.0 optical GMOS-N \n", + "24 2MASS J08251968+2115521 T eff 1341.0 mir IRS \n", + "25 2MASS J08251968+2115521 T eff 1341.0 nir SpeX \n", + "26 2MASS J08251968+2115521 T eff 1341.0 nir SpeX \n", + "27 2MASS J08251968+2115521 T eff 1341.0 optical LRIS \n", + "28 2MASS J03185403-3421292 T eff 1344.0 optical GMOS-S \n", + "29 2MASS J15382417-1953116 T eff 1346.0 nir SpeX \n", + "30 2MASS J15382417-1953116 T eff 1346.0 optical LRIS \n", + "31 2MASS J05120636-2949540 T eff 1349.0 nir SpeX \n", + "32 2MASS J05120636-2949540 T eff 1349.0 optical R-C Spec \n", "\n", - " access_url \n", - "0 https://bdnyc.s3.us-east-1.amazonaws.com/IRS/2... \n", - "1 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0559... \n", - "2 https://s3.amazonaws.com/bdnyc/SpeX/IRTF%20Lib... \n", - "3 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J2139... \n", - "4 https://s3.amazonaws.com/bdnyc/20912_etador21_... \n", - ".. ... \n", - "81 https://bdnyc.s3.us-east-1.amazonaws.com/IRS/2... \n", - "82 https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1516... \n", - "83 https://bdnyc.s3.amazonaws.com/IRS/SIMP+J01365... \n", - "84 https://bdnyc.s3.amazonaws.com/xshooter/IPMS01... \n", - "85 https://bdnyc.s3.amazonaws.com/xshooter/IPMS01... \n", - "\n", - "[86 rows x 7 columns]\n", - "['Spitzer' 'IRTF' 'Gemini North' 'ESO VLT' 'Keck I' 'CTIO 4m' 'ARC 3.5m'\n", - " 'Magellan II Clay' 'KPNO 4m']\n" + " telescope access_url \n", + "0 Spitzer https://bdnyc.s3.us-east-1.amazonaws.com/IRS/2... \n", + "1 Spitzer https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1516... \n", + "2 Spitzer https://bdnyc.s3.amazonaws.com/IRS/SIMP+J01365... \n", + "3 ESO VLT https://bdnyc.s3.amazonaws.com/xshooter/IPMS01... \n", + "4 ESO VLT https://bdnyc.s3.amazonaws.com/xshooter/IPMS01... \n", + "5 Spitzer https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0559... \n", + "6 IRTF https://s3.amazonaws.com/bdnyc/SpeX/IRTF%20Lib... \n", + "7 IRTF https://s3.amazonaws.com/bdnyc/SpeX/Prism/U109... \n", + "8 Gemini North https://s3.amazonaws.com/bdnyc/optical_spectra... \n", + "9 Spitzer https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1448... \n", + "10 IRTF https://s3.amazonaws.com/bdnyc/u20587_050323.fits \n", + "11 CTIO 4m https://s3.amazonaws.com/bdnyc/U20587.fits \n", + "12 IRTF https://s3.amazonaws.com/bdnyc/SpeX/Prism/spex... \n", + "13 Keck I https://s3.amazonaws.com/bdnyc/LRIS/U13076_lri... \n", + "14 IRTF https://s3.amazonaws.com/bdnyc/nir_spectra/U50... \n", + "15 Spitzer https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1507... \n", + "16 IRTF https://s3.amazonaws.com/bdnyc/nir_spectra/2M1... \n", + "17 IRTF https://s3.amazonaws.com/bdnyc/L5_2MASSJ1507-1... \n", + "18 Spitzer https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0539... \n", + "19 IRTF https://s3.amazonaws.com/bdnyc/nir_spectra/U50... \n", + "20 ESO VLT https://bdnyc.s3.amazonaws.com/xshooter/SD0539... \n", + "21 ESO VLT https://bdnyc.s3.amazonaws.com/xshooter/SD0539... \n", + "22 IRTF https://s3.amazonaws.com/bdnyc/SpeX/Prism/U209... \n", + "23 Gemini North https://s3.amazonaws.com/bdnyc/optical_spectra... \n", + "24 Spitzer https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0825... \n", + "25 IRTF https://s3.amazonaws.com/bdnyc/nir_spectra/u10... \n", + "26 IRTF https://s3.amazonaws.com/bdnyc/L7.5_2MASSJ0825... \n", + "27 Keck I https://s3.amazonaws.com/bdnyc/U10721_lris_141... \n", + "28 Gemini South https://s3.amazonaws.com/bdnyc/GMOS/U10176.fits \n", + "29 IRTF https://s3.amazonaws.com/bdnyc/nir_spectra/U20... \n", + "30 Keck I https://s3.amazonaws.com/bdnyc/optical_spectra... \n", + "31 IRTF https://s3.amazonaws.com/bdnyc/nir_spectra/U10... \n", + "32 CTIO 4m https://s3.amazonaws.com/bdnyc/optical_spectra... \n", + "['Spitzer' 'ESO VLT' 'IRTF' 'Gemini North' 'CTIO 4m' 'Keck I'\n", + " 'Gemini South']\n" ] } ], @@ -159,13 +201,13 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 42, "id": "67075f92", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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K3HLLLaXa7bfffotv/+abb9x6poRkG31eCCHEqiXGP1U5oCCEEEJkgrdGK2N6NMRrYyUnQV045loIIYQQuYlc7oUQQogcgMR5xDRLzAshhBC1B2W5F0IIIXIA4v+FEEIIUbuQy70QQohqDQntDj/8cDcVHGy44YYuURxJyUTlw1zq06dPT7r9/PPPd5nshRBCCLHqkaAXQgghhBBCCCFqIIqhF0IIIYQQQgghaiAS9EIIIYQQQgghRA1ESfHSUFJS4mIHmzZtamKxWFVXRwghhBBCCCFEjmOtNYsXLzZrr722yctLboeXoE8DYn7dddet6moIIYQQQgghhKhlTJ061ayzzjpJt0vQpwHLvG/IZs2aVXV1RDm9LWbPnm3WXHPNlKNcQtQk1K9FrqE+LXIR9WuRi6hfVy6LFi1yhmWvR5MhQZ8G72aPmJegr/k/OgUFBe4+6kdH5Arq1yLXUJ8WuYj6tchF1K9XDenCvtXyQgghhBBCCCFEDUSCXgghhBBCCCGEqIFI0AshhBBCCCGEEDUQxdBXEMXFxaawsLCqqyHSxPlwj4j1UZyPyBXUr0VlU69ePfUtIYQQopoiQV8B8wP+888/ZsGCBVVdFZHBvUL8MJ9juuQSQtQU1K9FZYOY79ChgxP2QgghhKheSNCXEy/mW7VqZRo1aqQX6moufIqKikydOnV0n0TOoH4tKhMGi6ZPn25mzJhh1ltvPfUxIYQQopohQV9ON3sv5ldfffWqro5Ig4SPyEXUr0Vlw/zCiHr6Wd26dau6OkIIIYQIoKC4cuBj5rHMCyGEELmId7VnEFsIIYQQ1QsJ+gpAVjEhhBC5iv6PE0IIIaovEvRCCFGB/P3336a2URuvOVfQvRNCCCFqNhL0tZDnn3/e7L777maXXXYxW2+9tTn00EPNn3/+Gd9+0003ma5duzqrzMknn5z0OL169TINGjQwO+64o5kwYUKpuN5111036f5Lly41559/vunRo4fbv2fPnma33XYzd955Z0K5+++/32yzzTauzA477ODKsR/7R/H555+7si1atDBrrbWWOeiggxK2f/PNN6ZTp05mwIABSV9u99lnH7PddtuZbt26mfvuuy/p9b/55puujR599NGE9a+99prZc889Xfv27t3bHeeZZ54p1T7/+9//3Dba4JhjjjELFy6Mb+eYm2yyibuW4Ic46Y8++siV4Z5xjeEyX3/9dcJ5hgwZYrp06WL69OljttpqK/PAAw+YsjJt2jRzzjnnmO23394dj/pzj4KMGTPGHHHEEa4uXD9lR44cmVUfhPB18aHNsqnLDz/8YPr16xcvs/nmm5vLL7/cJfoK8scff5iDDz7Y7LTTTq5/0M/oK9nyyiuvmLPPPjth3aJFi8zxxx+f1MrJ80bf3nXXXd394Tt8bvoG10Ff4Tqvvvpqd2/DPPnkk2a11VYr1SeTkaq///XXX67Necbbt29vTjvtNLd+/Pjxrj8RasR2EoN++umnZuDAgaXaNVN++eUXc+yxx8bvE31i7733dn2V9qtM6K/8VjHtXzYccMAB5tZbb026/dxzz3XPcH5+vmufIM8995zrY/xO0YazZ8825eXVV191H8+SJUvi9y9Vf3jqqafcMyGEEEKIGooVKVm4cCFvze47zPLly+2ECRPcd02ibt269t1333V/FxcX2379+tmOHTvagoKCeJmPP/7YlWvQoIGdNWtWqWOMGjXKbW/Xrl3kOT755BObn59vW7ZsaVeuXFlq+4ABA2zfvn3j5ywpKbFDhgyxG2ywQbzMo48+atu0aWNnzJgRX/fRRx/ZOnXq2KlTp6a8xj59+tj+/fsnrBs6dKjdeeed7WabbVZqm2+Lrl27unoA1926dWv70ksvlSq7ZMkS26VLF9c3hg8fnrCN63rsscfiy6+//rqNxWL2+++/j68bNmyY7dy5s122bJlbPu644+y+++4b384xw8cdP368XWuttWxhYaFbnjx5cuR1BHnooYdss2bN7F9//eWW+Wb5zTffTLrPrbfe6o4dxTXXXOPa0Pd56lS/fv2Euu6yyy72kksuiS8/8MADrh/xrGTTB7mHqcikLtzz448/3vUvf/3Nmze3d955Z7wM97l9+/Z25MiRbpn23Wmnnewzzzxjs+GXX35x/Xfx4sXxdWPHjrXdunWzhx56qOsrUay22mp20qRJ8eVzzjnHrrnmmq5dPPSNE044wf29dOlS26lTJ9eHgGtj3cEHH2xPOeWUyD4ZRab9nWf8yiuvjC/zPPbs2dP9RgQZNGiQvf766222fPbZZ+45HzFiRHwd94Bzci3vvPOOrUwmTpzo+mxRUVFW+5111ln26aefTlmG+8A1dOjQwS5atChhG89Yuj6eDfwWRP0ecP/S9Yd99tnHPvfcc0m3r+r/6+ib9LPgMyBETUf9WuQi6tdVp0ODSNDXQkF/yCGHJCyPGTPGXSMi3cPL+v7772+bNGlir7jiilLHQKAcffTRSQX9SSed5EQdx0XQRomYu+++O2Ed4haB5jnwwAPdecKwPijyMxX0r776ql2xYkXkNnjttdec0AwKsvPPP98JsjCIrvvuuy9SPH3zzTdx0Q28yFPulVdeccsIBwQb+3t++uknV+aHH35wy/Pnz3efIOeee66rjycTQY/I2nrrrRPWsXzGGWck3Yd7GhZrnocffriUwNp7773t7rvvHl8+7bTTEgaBEJz0o+uuuy6rPphO7GRSlz/++MPOnDkzoQz388wzz0xo1yOPPDKhzK+//mr//vtvmw2HH364G2QI8uWXX7q+6oVdFF999VXCMs8LZf39ZyCI5aDo59mhD9GXaN8FCxbEB0gyFfSZ9vegoGcgjf4TvE8eBksaNmxYSrimggGcddZZx95yyy2R27faaqtKF/SVCfeB38nGjRu7gaXqKugZVOE++IGvMBL0QpQf9WuRi6hfVw9BL5f7WsgLL7yQsIxLJqxYsSJhPe6guArfc889Zvny5QnuyWQ73nDDDZNm///ss8/MVVddZdq2bWuefvrpyKzJH3zwQULW5IYNG5oPP/wwoQzu4/Pnz0/Y9+WXX3au5tmy3377pUzuxLk7duxomjRpEl+H6+/YsWMT6jBu3DhXr5NOOinyON27d3eu8b4tbr75ZrPZZps5V2rvBo6LLe7Vnk033dQ0btzYtYlvez4e2gnXWNyas2H//fc3kyZNMt9//71b5vvHH380rVu3NmWB8++xxx6l+k+w79x9991umisPbV6/fv2EMpn2wfLWpUOHDm5ayWCYBK7kwZAL+hMu70Ho22uvvXbGdeGcb731lgshCIJbdbq+SkiJZ968ec7tHfdzf//pl/RJ+mawX9KH6EuA+zshDNmQaX8PPvcHHnigq9+2225bajtu6+uss45rh0x5/fXXXejEUUcdFbl92LBh7tnw4N5PeAbPDu75/fv3d20GL774YjxUiPu87777uvt/7bXXupAFfssIK+jbt2/8+ggVwi2dfT755BO37rLLLnMhBqwnHIJ7Sn94/PHH4/W44IIL4mXSwb633Xabefjhh129UjFz5kxz+OGHu+sgrOHoo4+OXx/hRPQn6srzw7PNsSlLfd599133oU5sCzJr1qx4yAb3bvLkyQnbWTdnzhwzevTotNcjhBBCiOqFBH2FwiBKcRV9SsfTZsqXX37pxAtxtGHOOuss9/L72GOPxdcRN8r6ZIwYMcK9BDNfMS+nvLSHY94Rw8Qbd+7c2R0PkRWGF3Be9hEdF110kRMalQmCJSx0vRjzL8DECJ9++ulOtKbL/Ew5hC0inTbxwonzQPBcHIvl8Iu2hxd1BAQxuUEQ6wxUIG4Qt2GhzCDC8OHD3TeDCggaBKSPhy4vGIQRAYcddljSMr/++qvrQ4ccckjWffDMM890MdUIbvrA4sWLy1QXxNR6663nrvull15yIgjol7Q5AyaIJ86P4HvnnXdMNhBXTszy+uuvb8oC50es0Qb0uYceeiirflkWsjkuMe7cP/oSfSgZG2ywgRk1alTGdWBgjJj/ZANM3Pd27drFl8lzwDnIMcCgIYOARx55pNtG/RDOvr5vvPGGe+6ID7/00ktdfg724z7dcccdrhzPhBfyHnJOMODz7bffumtl4OOWW25xfcf3vxtvvDFpHo4oTjjhBBdzf+KJJzrhnAxyfjRv3tx899137gP++shH8eyzz8Z/D/j9pAztR314/vlwPeTxCMJgx7333uvam0FWBluDEOfP70s2904IIYQQ1QMJ+gqFhFBfV9GnbMmosCxihbrrrrucAA/DSx4v0YhuxCzCDAsvAjIZWOS9xY2X0WXLliUkawKSmyEOsGST2IzzkBSPY3tY5uWUl2rqiOWbhGXhY1UU1BNLchC/zDagnXixZiAiHYh+Xt6xmCEUZ8yYkXCsqHP5bWEYUDnuuOMS1vlkZQ8++KATN1giGSjhvB6EKYkJEQBYIxHXiHuEUEXAPUSMJfNWgGuuucYMGjTIJaTLpg8iukmMRkK9t99+24lm+kSyubBT1YXBIQaNaBuSwHlPkAULFrhvRB9Wzi+++MJ9Y919//33M24HLKvQsmVLUxYQVF999ZXrIz5RnU96l0m/LAvZHBdBiEhOdz68CnxbZALtj2dKJnz88cdOcJ533nnxdQjk9957z/z+++8JZf2gzsYbb2zWWGMNN1CBF0NeXp5L5omXTTrw7PAeFzzDDP789ttvpqzwnMKpp56a8vouvPDC+CAfCUC5vnCSRDw4uBYGCdkvHfRnP6DIIIkfLCjPvRNCCCFE9UCCvpaD2MOKjittqmzNvMxjacfdNlXme156EV7eJRfXWNxCo9zusXDhAv7zzz87QcVLKy+bc+fOjZdBPCNGcbXl3Ig56uozvVckvPCHXb79MtvwFuClPGzdSgUDFghaBkOw8vljBY8dPJffFoRBFKz8ZI4PgkjBYuetmwx4YAm87rrr4mUuvvhi115sAyzIWGbxHvBcf/31CZnkaWs8MILrosDd+4YbbnCWQh9iECWyEaiEHWTbB7G2ejdyxAhWSCzwUfc+k7p4YcMHa78X0n49Ls6AiNt5553N7bffbjLFz1CQ6tyZgLUVSzIijkGMTPplWcnmuGeccYazZjPAwvOaDAZkotz1k4GIjJqx4sorr3T9Do8UL+AZ7EPEYon3/RIPDiz4frDM06ZNm4TrDC4zgBCcUSIZwZCLpk2buu/yZNxnYIHngcERZiMIw/XRHwkT8PiwJn5TgxDakA3Ba2nWrFnkdWR774QQQghRPSjf26eIGB/pUYXnzg5EDS+7CM5UEHeJsEYwAdbgZODqiVtqUAQSR45AwVrNSy0gGr17L1Y0puHCKsm5OD7uqZTnhR+RhOs6wo/p3RClDC4guioSjhsWi9QTeMnGMwCr2V577ZVQBkHMtFC46tJOK1eudPH/HkQI1+in9vNu2VjDgi/mLEe5bDPlHUKKF/F04I48ffp0l/MAKzwDMcQcB+FaiE32bt30Ay9wAas/YjpVfDCDAtwLBDSx01EQL8w5GJCJ8v7Ipg/6awOssVjqM6lL+F4AItF7edCvsErjhhwEkZiN+7GPd6evh8+XCgZ6+AQHAhBxLNNfuO/0ibDl1PfLsrr4Z9LfgzCgwgADnjkMstA24Tbz15+NlwLPO4M99Nmg6OT3AOiDYRd1vCv8QEwywtvDy1FT/qU6hg+vyWS/VOASj7fK4MGDXUhAWUl3/enKR11HtvdOCCGEENUDWegrFF768qvokzqeOwwidOrUqc7NGYgX5ZPKSo9LMNaxVFZIxCfiHVd5/2G5qKjIzT3uQYyHXyp90i/vGoplLuxqinUNIRFM5FVRYJnF+kiMrYfzY93GcorLO5bg4LV5UcrfiHmIijHGgugFC+76CMlge0+cONFZKn3ivHTu9oDXQziJFdZwju1d6mmrsPWS5fJYdhFfxPo+8sgjzmoL4bntaQ9EGaIF6yaWv3B8f6o+SBIvQgjC1wbEwmdaF8RnWBAG7wVCJxgO4UFAB8+TDj845ROYZQrzk4fzUZDsjufF15F+SZ9kcCbYL3EJzyT0o6z9PQyDcTzLPLfBxHJBuP5sEi6S/4E+GmWxDkPIBoMfhI0EwYU96NVT3cHTBI+BU045pdT14YEUzF/gQwm22GKLtMdl4NBDaESy0JRkZHvvhBBCCFE9kKCvheC6zgs0ViISzfESj/AKu3WGX7wRSsSspnoh5IM1OgjLZM8Out3zwsmLrRf1fGMVxjJKcjAPZYIZ9nE9JxEcIq6iwRpKjD4uz4AQJLP1JZdcktVxsKwGM33T1ggnMnJ7EckgQHD2ACzmuH2H48wR+ojbnXbaqdR5EHi48SP+gBhxkr8FE96RCf65556LJx2cMmWKc9NPlcQuFQgnRDIZs4G+wwcPBc+YMWNcgrkrrrjCWc/ZTobuYJuk64P0D67tzz//dMuIE6z4WNe9Z0YmdQHi830/496EZwsgZhnPEt9GlEG4BsMSSKrGM5AM7hseFGWJsWagy18ngpXwEwYI9txzT7cO0U7foI8AfYYEZ9Q7KOLSwT5kjC8oKChzf8cDgkRzWPLZPxxTz/UH82sQopJq0AHvCH4XsNKHLdbEuTPg46+RZ4D4dwZ6aCdgkIjfg9VXX93UFBhsow+GByb89dFfgT5Lu9DHgzNiJIOBPD/IwsAr7ZIp/Ibw25AqN4oQQgghqimVPH1ejSfX5qFnjui8vDx3TeGPn6v4/vvvt126dLGtW7d2c75Hceqpp7r5jevXr+/mUmaO7M6dO9u2bdvaIUOGJJRlmfWxWMyVZS54zrXXXnvZbbbZxq1jbmvmJg/OtT1y5Eh7zDHHuLmod9xxR9urVy+7ww472BEjRqS9To45cODAhHXM+87+zZs3d9dGmTfffDOhDPNsM5c559pyyy3tPffcE3n8oUOHuv1pt44dOybMJ33HHXfYbbfd1m633Xbum2OFz8N8z1dffbU7B9d+1FFHlZp3Hi688ML4HOBhmLt+wIABtmfPnnb77bd384ffeOONtrCwMF6Gv6kr56E+W2yxhb300ktT9tlU89Cfd955kX2HfTzcr6gyfo7sTPog9bv22mvdtdG2HJO54qdMmZJVXZjDnH7Wo0cP27t3b9u1a1c7bNgwN397kCeeeMJtowznfPbZZxO2H3TQQUnvg4f5xsNlqC/1p49QN/4eNGhQfPvcuXPtxRdf7O4P97B79+52//33d/c2CH2D43Md1POqq66KzxnO98qVK+0pp5xSqk9OmzYtfoxbb73Vtc3SpUsz6u++7jzj7Mcz7xk9erRt0qSJOw/9GP744w833/qSJUvi5c4555zIudHD8DvKM8DvAe3A7w/fN910k12wYEG83D///GMPP/xwu+mmm7rfBP6eOXNm/F6zn29n2na33XZz9aeeTz31lLv3XAu/AexLO/s2Y98XXnjBPS++TL9+/dz5g2Xee+89e/7558fL0H5RcO2cl3IcJ8wNN9xQah56ru/QQw915+H3lDaZM2eO2zZu3DjXPtSD7zvvvDNh34kTJ9rNN9/c9WF/Pn///PXTr/mbdTvvvHN8348++si2b98+6f3RPPRClB/1a5GLqF9Xj3noY/xT1YMK1RmSBzGNEEmUwjHMWLpwjyTe1M+jLaoG4j+xZPu4XixaWLaCCeLo6liiCBlIN+WcEB7CALDO851qTnksnLix4yXgY+pXBdWlX5OQkcSCeF349iA5JrMF4Akgqic+hILY/mReKKv6/zo8MPg9J6wkGy8UIaoz6tciF1G/rjodGqRatTxJrXDNxu2Puad/+umnlOVJeIXrMi+y3mXVwwsuCblwY8RF12cATzUHsKi5EF/ts8Djio2rOhnzhSgvhA2Q2C+VmAfCRQijSBWWkquQ54G8FojCYPw37vQS89UbBj1JMpkqpEQIIYQQ1Zdqk+X+66+/djHGWME22mgjF8uJ1QBh5qcMCoKAZ45z4rOjkv8Q44mliKRhxHAyHRPZyYkt9MnMRO7A6BWZ1LfZZhs30MPc9mSUFqK8hGcJSAVeIX6KwNoEM1T4HBGeip6FQlQOJOerSTkIhBBCCFFNLfRkvCbJEmIemIYKK3s4wZWHzMxPPPFEZPZvYOooEl/5hEwkXyIb8siRI0tltBY1H7JyMwUXAzgk08pkGjQhKoPaKI5q4zXnCrp3Qgghco1pS742M5Z+Z2oL1UbQM7dwMJMvcRhYushqniyrNPM1J4NYjrvvvjthnY/9w1ovhBBCCCGEECJ3WFG82Exd/IX5c9HHpabIzlWqhcs9Mc8E/YfnwCVmlSmwKoovv/zSxei3b98+aRnEflDwUy+f9MFPleRhmY7iP6L6E5wmT4hcQf1aVCb+/7io/wcrA/9/66o4lxCrCvVrkYtUx35dVLzC+Nch6lWTE2Fn2q7VQtD7uYxxiw/Ccnie47JCMjzm6H799ddTlhs6dKi5+uqrS62fPXt2fP7mYGZ1GprQAD8XuKi+8IPj8y3U5IdbiCDq16Ky4f83/q9j8J1cJZUN5yKjL31bWZNFrqB+LXKR6tivV5QsNIWFK93fZOCvye9GixcvrjmCvlGjRpGu8Cz7beV9GSGB3pAhQ0yPHj1Slr344otdQrWghX7dddc1a665ZuS0dTQ0Wfb5iJrBqnghFWJVo34tKgv+f+NFjXj7VTVtHS9g/L9bXV4QhSgv6tciF6mO/Xp5UV3z95x67u9WrdY0sVj1qFdZyPT/3GqhQnlJIEv5zJkzS2WqX3/99cvd0ci+vOuuu7pp69KBV0DYUwDopOGOyjKd2H9E9YbRQ3+fdL9ErqB+LSob/39c1P+DlXnOVXk+IVYF6tciF6lu/Tovj/+zglqtetSrLGTaptXmCpniiCnrgi+pY8eOdUK8PJx++ulmvfXWMxdeeKFbJske80oLIYQQQgghhMglYvG/rKkduYWqjaC/6KKLzFtvvWV+++03t/zUU0+Z/Pz8+NzGvXv3NpdeemnWx5w0aZI5+OCDzTfffOM+zz//vPnrr78q5RqEEGLp0qUunqw2QYya8ohkB32EviKEEEIIkROCnth25pw/4ogjzPbbb28efPBBM2LECNO0aVO3neR4wRj7lStXmh133NGcddZZbpn9Dj300Pj2n376ydxwww3mk08+cZnt/Yfj1nYY1Nh9993NLrvs4tqEdvvzzz/j22+66SbTtWtX50Jz8sknJz1Or169XGwH92HChAkJ2/CwIPdAsv15kT3//PPdfWf/nj17mt12283ceeedCeXuv/9+s80227gyO+ywgyvHfslehD///HNXtkWLFm6WhIMOOihhO4M6nTp1MgMGDEjZRtOnT3dhIKnKfffddy5u+aqrrip17eRr6NKli+nTp4+bjvGBBx6Ib0f4PPTQQ2annXZynilMz0g4CIkbg2yyySbuWoKf4HF8YkbOzzOz3Xbbuakcb7zxxvj2Tz/91LUB+1Jmiy22MLfffrspL8w+sdlmmyVtn7///tvss88+rk7dunUz9913X8L2TOtFDovjjz8+qSt5uH34/O9//0soM27cONff6T+ch4E+n0TOQ//1fYz79fLLL5ehVYwbQNx3333dfQmG/dxyyy2mYcOG7vcozGuvvWb23HNP9zwycEl7PfPMM6XKEYLEsZPN0rHpppum7S9h+B0988wz3TXTD8844wy3zsM94jnieeJ4fht9FzcwfgPeffddM3/+fLPXXnu5OpaFefPmmXPPPdddv/89oP888sgjTvjyfwPX7a8rWCc+/F7RF7le/9vFMYJJULnnt956q+uT7EPdGewdP358VnU95JBDKiS0gT7C/fz555/LfSwhhBBC1GKsSMnChQvx1XDfYZYvX24nTJjgvmsSdevWte+++677u7i42Pbr18927NjRFhQUxMt8/PHHrlyDBg3srFmzSh1j1KhRbnu7du0iz/HJJ5/Y/Px827JlS7ty5cpS2wcMGGD79u0bP2dJSYkdMmSI3WCDDeJlHn30UdumTRs7Y8aM+LqPPvrI1qlTx06dOjXlNfbp08f2798/Yd3QoUPtzjvvbDfbbLNS28IcfPDBtkWLFknL0W69evWyjRs3tldeeWXCtoceesg2a9bM/vXXX26Zb5bffPNNt0zdadfvv//eLdMG1Is6h68hHSeccII95ZRTXPvBww8/7NrVc/LJJ9urr746vvzdd9/ZvLw8+8YbbyQ95q233monT56cdPv1119vd9lll6TtSNt07drV3U+g/7Ru3dq+9NJLWdVr7Nixtlu3bvbQQw91z2AU6dpo2rRpru0feeQRt7xkyRJ3zEsvvTReZtGiRbZt27b2ySefdMs///yzbdKkiR09erTNBu5j586d7ZgxY+Lr5s2b5+7tiSee6K6B5yoM9+uxxx6LL7/++us2FovF+weMGDHC1XvPPfcs9cxx73nGMukvYQYPHuzOX1RU5D677rqrWxeEexw8dmFhoT3yyCPtTTfdlFDuxRdfdPXLFp7vDTfc0PU734/5vvvuu12bDR8+3H2Cz1m4TrSr74v8zX7BPszxDjjgAFdv+kDw96RVq1buOxPon/wuVNR/nfQVnpUVK1bY6syq/r+O3xD6Bd9C5Arq1yIXqY79elnhfDtq+i3uU1xSZHNVhwapNhZ6serYf//9Td++fd3fWNmwymElImdBECxuZDe+6667Sh0DS9dhhx2W9BxPP/20y1uA5Q0LXpRVcr/99osnIMTixewC7dq1SyiDxQ5rnAfLIFatsswqgAXznXfecZk4U/HGG284yzsW9mTcfffdzpq7xhprRFruO3bs6DwUgG+W33vvPbdcr149M3DgQNO5c2e3TBuceuqpZuTIkWbGjBkZXw+WxSeffNJ5oniL4dFHH51goebenn322fFlrgnLpg9tieK2225L8NiIasf3338/aTu++eabzkMGyy9Q7thjjzXXXnttVvXCI4cwHPphWXniiSdcH/eeBI0bNzYnnniiu8bly5e7dcOHD3dW9KOOOsotb7zxxs5iTrtmA8fhWrF2e/Ak4TiXXHJJ0v1oF39uwHqMl0cw1wf9Het+ulk6soEpyPCc4D4Q3sSHv1nHcxsFFnqee57L8847L2Eb1vxff/3V5SnJhkGDBjmvGbytgsn9TjvtNHPAAQe4ZazutEsysN77slHg6TN69Ghn8acPBH9P+J065phjSk1LGoZ7SdgXHh4VBX2FpLCPP/54hR1TCCGEEB7F0Isc5YUXXoicEiE8bSACC3fne+65Jy5+AKGB+yru3clcST/77DPnCt62bVsn7sMgannxD7o+45L84YcfJpT5+uuvnTtvENyhgyI/UxhASOcq61/aGbBIBu7kuMxfccUVSQdMcL3+/vvv3TLfP/74o2ndurVbbtWqlRsQyOQepOKVV15xQjg4nSKDA0HRh1u8D1tBtBJyQplgeEpFtyP3kAGMJk2axNcR2sGAkb+XmdQLl+my3Ocg5MtAZAfr26ZNG3ef/QAW9cXdPFiG+gb7Yia89NJLzm0+yDrrrJMg8KPg3H6Aimfn5ptvdu0TTAhKaIZvr4qCsAfOF6wf1806BpfC8Btw4IEHugE1xHYY2g+B/OKLL2ZcB2Y2oR8zrWgU119/vQtbKa+gZ1CS5zJq+hcGUwixCbrnR3H55Ze7gTf/HAchZIa+ysAVAwSEkTBIQWjKRx995OrG7yXXE4Z7m02bCSGEECI5scDfSoonsgarWnFxSZV8OHdZ+fLLL83aa6/tYkvDYDVDhD322GPxdYhdn7sgCnIfIGywch9++OHuRTkc837SSSe5F3ms1BwvKlEhgwnTpk1z4hCrWNiDoDLwL+2phCTWZV7MGYCIAiGGtZZvhBkx0eQBiBJBwXuAmArGR9NmWPLxBEAoDR06NCG+mUEC6okFGNHD/WOQIWpQgJh+hCyWaTwFGGipLBjwCYse356TJ0+u8HrhCcD10070k8WLF8e30Z54PQRj2hmQAfpWqvoSu53MUp3sHpZnmk1m5GDwgYEunqHggEgmpOsvYbhuBhKwEHs4P5b68H3i2Ah5LNnHHXdc0mNusMEGZtSoURnXGcHLgA5eH1Hw7Hfo0MGUhyVLljiPkWTn8PH45NdIBnkYGFzkdysKBvj22GMP51GCBwgDmoh47geDe6+++qrzXGGwMNy22baZEEIIIVIRM7UNCfoKpKTEmh/GTa+SD+cuC4g/kuBhwUKAh0EQkTgK0c2LN+IeIYkFKhlY5L0LMZY3EhryQhsEt3BEL4ICV3vOQ1I8ju1hGTdjBDF1xJKJ1St8rIrCv7SnSgTI4ASCB5fsZODWzzEINSDZGm7IiPtkAwAkw3v44YdLhTYgZhgEwJL63HPPOc8EXOo93Iu3337biS3aiVABRAMiIsxll13mEpYxGIH4zTYRWDZwv30ohccvs60i64Xldu+993YWZdqC/ek33vODWTJwucfqDbNnz44nxvRlsqlvMrgHfFq2bGnKCl4b9AUs0QzOZBN+kUl/CcO14QUThnXh68bLBI+FsLdMGIQxVvdM8bMBZDt4kQ2ZnINtya6N3z3aFU+ldPPBbrnllnHPJe4hv2d4tPgkl/QP77kTbDMGoYJeUEIIIYSoAKypFUjQ13IQnljRcaVNBtmnf/nlFydmia9NJXgRNYiqbbfd1i3jzssLbpTbPXHNvNwSv49lHAsZ1kViez3E6iKMEX2cGxFGXXFjrUj8SzuiKtlLO5Y+LGzpssRffPHFro4MQABWW6yhWGDDkPGeQQ8s1eH4aOLjvTs0bvqEMOCaywABMLCAmzN14huxQFwzbY1wDeNnLUBYBOPs8TYIZkanrfHACK7LhkaNGpXyEvDLbMu0XpmAZZ8M9l6UkeGfWGnfP7C8Yzn/9ttvXZ+kz9HXYLXVVitTfVOJxrLkdgjC/tdcc008M362+QJS9ZcwXFuUBZ914esmI/wpp5xiBg8eXCpkJwiDgulEf1jMQmVO38ZsFenOwbOdbDCGmTf4HfI5L1KBt4nHt2FwHfH74SkN/UBqNu0mhBBCCOEp39unSCAvL2Y6b7l2lZ07W3BP5qUTAZEKhCYvtD5JGO6kySCRHdamoAjE3Rl3aqyPPokcotG7YZOE7Oqrr3bTVHEu765KeV74ETm4AiP6cPlFIDO4QOxpRcGgAgMJPpGbT26HuyzXwlRVWEAZUAjG+3IdTKmFhZzkXpRj8CMco47b8LBhw5xrrgfRhgUZ6z0xuOnANRd+//13s9FGG7n4bNylg9Zln1SQpHa0GeIsbIVFOH/11VcJ/SCY6AtvCYRytkLew/0JD7j46cy8+3Qm9SoLwTbCUg+EPQRjlL1rNVPY+fqGrcrUFyGYqcXdC9Oga3+mhNuCASWeifBUkNkS7i9huG4GlOj33u2egSD6eFToAINdhCDwDNIu4XwB/vqz8VIgzITr5Vr9/ahoGOihD0ycODFyO/d6wYIFLmdDFPx2Ibb98+D7MsscG68YD4NsYcLrwuFRvs+Ux7tDCCGEELXXRC8LfQWCpTE/P69KPtnOi4xVdurUqXE3byyYfFJZ6RFbCNZUVkjmz+YFGIHrPywjHJ5//vl4OcR4+MUWwRx0jcXaHI5rxcJFnHVFu+gSX4sQD9Ybd27iYr1YRyAiPIJlGJTA6svftA1Qv7C7NMthqycW+/XWW88l0QJip31mc7wcguI/GPvNPoCLOmIsKCK9MPVlvJdAuC7kTKgsEHoMkGD19HAfqYu3ildEvWbNmpWQOT+qjRDL4fhkXNLJacCAiK8v+RmC/ZH6BpPSpYN7S9K6bGLuPYSUlLctMukvYfCGwTocfO65btaxLQzCGy8A+h0eKFG/F1x/VNK4ZOBJQNZ8QgSiQORHzbKRLTy/DDZG5Zd49tln3UAYA4pREBdPH/LPvB/84u+gmC8rtBmJLaMS9gkhhBCi7FgJepGr4LqOOzfuswgZXuKJv04Vv0wc6AMPPOASPqV6MeWDdTEIy1jigm73xOjiHu1FFN9YhXmxDlrKKBOMLUX0YjVniqzqCjHsCBSf6G/KlClONASn+UMUcB3kJ6D9+TDg4fdBqHPtXiDSBnhIkOzMJ/fCCwBReu+998bFK3G+HNOLKrwlWOch1pwBlqg4+4qCmHZyHeCqDHhaMC1XcOq2iqgXfQi3dD/FHpZlvE2w9HvvjUWLFrns5j6Mg0R41MvH1ANJ3hgQ4x4BLurkQbjgggviZZimLzibQBTETKeaDjAZDBIhGj08mwyI4L2RKfQT8kyk6i886ww2kSsCsMrjRs9zh7cIH/5mXTJrMZ4ExOZzTPJIhN35uf5gfg2207apBjoQ7FjPuS/+94BBKp4RzkdyzPLCNRFygSdMMD8A/Y52YyAyKofIqiDcZkIIIYQoO7GAkXPivMrJu1XtqKiJ73OVhQsX8obpvsMsX77cTpgwwX3XFBYtWmTz8vLcNYU/w4cPd2Xuv/9+26VLF9u6dWt74IEHRh7n1FNPte3atbP169e3ffr0sZMmTbKdO3e2bdu2tUOGDEkoyzLrY7GYK7tixQp3rr322stus802bt3WW29tDznkEHccz8iRI+0xxxxjt9pqK7vjjjvaXr162R122MGOGDEi7XVyzIEDByasu++++9z+zZs3d9dGmTfffLPUvu+8847bFiw3bty4hDLUn/VcP+3A3zNmzHDbCgsL7dChQ+2WW25pt9tuO7vFFlvYSy+9NN5Pfvzxx8j25/Pxxx+7MnPnzrUXX3yx7dGjhzt29+7d7SmnnGLnzJmTUI9ff/3V7r777q79KDt48GB3jz1PPfWUa7ttt93W1YW2fPTRR1O2Hdfj6xEF/SPcPuF2nDp1qt17773dPaMd7rnnnoTtmdRrypQp7tgdO3Z0bcPfgwYNim+nPa+99lrbs2dPt41jHHnkkW4/z5IlS+wee+xhN9xwQ1dmp512sh988EGpa+Ke0Dd69+7t2vqll15K2H7HHXe4/VPx4IMPRpbhGaKfcw08V5QpKipKOLZvB75ps3B7jh492u0XfOb8c1ZSUmL/+ecfe9FFF6XsLxyjRYsW9uuvv46vKygocH2mW7du7kP7si5Yd+4x99o/u8BxN91004TfiOLiYtuhQ4eEvvP666/b9u3b23TMnz/fnn322e76OQ/Xcc4559h58+aVKnv44Ycn1Gnx4sXxbf63i7amzV977bX4Ntr89ttvd+3LfnwfdthhduLEiTZTwv2R5xzOPPNMVyc+559/vv3www/j9aAcz/Nuu+3m7h37+99aoN8Fl6sjq/r/OvoSv6d8C5ErqF+LXKQ69uuCooV21PRb4p9c1aFBYvxT1YMK1RksfMTSksgobKErKChwUxARFyx3yaoFix4u2H7aM5KDkSztuuuui5ehq+P6T8hAtiEKovZC/DS5HfCESOWGTx8keRxW7qgpICuL6tKv8SxgKsqXXnrJLePejocAVvHK9AipyXz++ecunOmLL74od0LFymRV/1+Htwi/54RkpJtZQIiagvq1yEWqY79eUbzYjJ31Xxjitm3ONrmoQ4NUj5YXopwQL3zEEUe4v3GvxoU3Kg5YiLL0LQaG0sXU47JN2ASZ+vnPrTbBPO9cO2E5Hp7DY489VmI+CfQRQkQIz6nOYl4IIYQQ1Ru9RYicgNErBBXJzoglZ257EtoJUV4233xz98kELJjko4iaDi6XIYEfSeeCHgKsI3ZdJE+kSF8Jz/YghBBCCJENEvQiJyB7ekXPTS9EWUCg1TaR5mcvEJlT0TN1CCGEEKJ2Ipd7IYQQQgghhBA1npipfXmyJOiFEEIIIYQQQogaiAS9EEIIIYQQQghRA5GgF0IIIYQQQgghaiAS9EIIIYQQQgghRA1Egl4IISqQpUuXmoULF5raNqd6UVGRqQ38/fffVV0FIYQQQog4EvS1kOeff97svvvuZpdddjFbb721OfTQQ82ff/4Z337TTTeZrl27ujmlTz755KTH6dWrl2nQoIHZcccdzYQJExK2WWvNuuuum3R/RM/5559vevTo4fbv2bOn2W233cydd96ZUO7+++93c8tTZocddnDl2I/9o/j8889d2RYtWpi11lrLHHTQQfFtiKwBAwa443Xr1s1cffXVrp6eMWPGmCOOOMLt37t3b7P99tubkSNHljrHK6+84tqN7X369DE//fRTwnb2D3/+97//JZShLv369XPXH1WXH374wW3352Ae9Msvv9yUlJREXvddd93l7tcnn3xiknHeeee5MsF7XVZGjBhh1llnHXPVVVeV2pZJO7IffSzYRsF75fnnn3/Mvvvua9q3b5+yPrQL9zVcbtq0aeacc86JtyNtTZ/Ktr6ZMmnSJFffwsLChLrdcsstpmHDhpH3h/nb99xzT/c8cn7q+Mwzz8S3L1u2zO1P/99pp53cdu5l1DPAtWy22Waun2fCypUrzZlnnmm22mor0717d3PGGWe4dR7uCc8RzxPt47dRj7y8PPcb8O6775r58+ebvfbay92vbHj99dfdM02/pD888MADbv0TTzxh2rVr5+ay596Ul9tvv91ssskmaftRJnW74YYbzH333VfuOgkhhBBCVAhWpGThwoWoLPcdZvny5XbChAnuuyZRt25d++6777q/i4uLbb9+/WzHjh1tQUFBvMzHH3/syjVo0MDOmjWr1DFGjRrltrdr1y7yHJ988onNz8+3LVu2tCtXriy1fcCAAbZv377xc5aUlNghQ4bYDTbYIF7m0UcftW3atLEzZsyIr/voo49snTp17NSpU1NeY58+fWz//v0T1u2777524MCB7lxLly61nTp1ssOGDYtv32WXXewll1wSX37ggQfc9XOPPaNHj7ZNmza1v/zyi1t+7LHHbNu2be2iRYsSzp0O6nLCCSe4v6PqMnToUHv88ce7usJff/1lmzdvbu+8885Sx/r777/teuut5/op9y2KcePG2TXWWMOVmTx5csq6XXnllXb+/PlJtw8aNMgefPDBtlWrVq5smEzakf2S1dUzYsQI261bN7vnnnsm7WeeO+64w7Zo0aJUuWuuucbuvPPO8Wd0/Pjxtn79+nb48OFZ1TcT6MudO3e2Y8aMia+bN2+eO/+JJ56Y9P7wHNCPPK+//rqNxWL2+++/d8ufffaZa2vf57k3m222Wbx/00d4xugzXEtwWzoGDx7szl9UVOQ+u+66q1sXhGMF+3RhYaE98sgj7U033ZRQ7sUXX3T3Klvoj+G2+fzzz22PHj3stGnTbEXBPU/XjzKpG9ffvXt3+8UXX9jawqr+v47/l/jd51uIXEH9WuQi1bFfryhabEdNvyX+qcmk0qFBZKGvhey///6mb9++7m+sbFjlfv75ZzN27NiEcljc6tSp46y/YW699VZz2GGHJT3H008/bS688EIzb948Z8GLskrut99+pn79+m4ZKxiWVKxywTJYLLEQerAMYgGlXtmAxfuNN94wZ599tltu1KiROe2008z1119viouL3bqOHTuas846K77PCSec4M7z6quvxtdRfu+99zYbbbSRWz7mmGOcq/Gjjz6adV2wsiary+GHH26uu+461y6At8MGG2xgfvvtt1LHGzx4sLnkkkuSng8L8emnn26uvPLKjOqHt8CCBQuSbt95553Niy++6CzOUWTSjpnAPli08WJI5wL98MMPm5NOOqnUNiy8eHTgSQJ4Ouy6664JFvCKqu/w4cPNmmuu6azdHqzoWHRT3Z9rr73WHHXUUfFlLOF4a/zxxx9uuWnTpu4ZxSMCsJYfd9xxztPG9xfYdNNNzfvvv+/qkAlz5851lmaeifz8fPfhb9bx3EaBhZ7nnufS99+gNf/XX381H3zwgSkPH330kbtnPCNt27Y11Q36Bv3lggsuqOqqCCGEEELI5b428sILLyQse7GzYsWKhPUIh+OPP97cc889Zvny5fH1CA2ExIYbbhh5fNyNP/vsM+dWzQs54j5MvXr13It/UJAgED/88MOEMl9//bVz5w3y8ssvJ4j8TOC4TZo0ceLNg9v87NmzncCGu+++O0EMIaYZcAi2C8cJCjYGRHBVzkbEZFKXDh06mFatWsW3v/nmm+avv/4q5UqN6Klbt258gCYKBmRwI0fMVgQHHnhgyu2ZtGMmMHCAmE0HYpfBkKgBhoEDB5o99tijVH8P1qWi6vvSSy85t/kgiPBgf4mC/uMHqHh2br75Zuc2z8ADdOnSxVx66aWlroGBpGAIBgNkfgAoEz799FN3vmD96Iesiwo54DeAe8+AGgNQYTg3A24M9pSVd955xw080d+D/R+WLFliTjzxRLPlllu68IkDDjjAPRNBaLstttjChSfQrhwrKraf0AC2N2vWzA2gZBsXT98cNWqUmT59ehmvVAghhBCiYpCgr0CwqhUXl1TJJxh/nS1ffvmls2Rut912pbZhiUJQP/bYYwnW+aBFMyq+GmGD0MTSTCxqON4Xayqx6J07d3bHC7+YA4MJxEAjfC+66KJSHgTZwCBE69atE9b5QYHJkydH7oO1kWs/5JBD4hbNRYsWRR4nfAzikhEdCAvqvnjx4jLVBcvzeuut5wQUgpFYXg9titCj/dJZr6+44gpTVYTb0fPII484MUW/69+/v/n999+zPjYDGojhsGhPBs/J6NGjU3qXJKtvJs/R+uuvb8oKXhQMLDA4xDPEoE+qcyFoecbKCv2Qtlt99dXj6zg/lvpwP6SvIeTxSME7IBl4kSB0ywK/B3gzvPXWW6Zly5altvObQT2+/fZbN+BAzgRyD/hBQWLc77jjDjdgxmAFXhgIfAYCwjBQtMYaa7gBBLxAsvUE4PeSQZ+vvvqqTNcqhBBCCFFRSNBXICUl1vwwbnqVfDh3WcAKSRI8rLhR4oAkUgcffLATjVgDETo//vijs/gmA4u8dyE+8sgjXVKvsPsySeJwUUZQ4GrPeUiKx7E9LPOyTRIw6ohFrVOnTlm7QgN18O79Hr/MtiiuueYaM2jQoLhl25eLOk7wGIhu3PIRHW+//bYZP368uxYvPLKpC4MaDHZgRd5nn30SPBhIknfKKaeYNm3aJL1u3PGHDh3q3PqrinA7AoMUWFoRr3hz4JHA/c3GUopQw5X9tttuy3gf+hyDKVHu+anqmw6EJp8oIZop3OM5c+bEBzlmzJiRNPHee++9556J8kBfwwsmDOvC/fD77793fS/sLRMGr56ZM2eWqT733nuv2zeYUDA4+PDss8+63wq8YoB7SDJOn2iQ0AUGhrxlf+ONN3YW+vA1FhQUuAEdXOajBjEzpTzXKoQQQghRUUjQ13LIQo8VPZUb9bnnnmt++eUXZ2knvjZV5ntEDQJ22223dcu48+KaH+V2j/s4QoH4fcTpN9984yzaWMI9xOoSg4+LLOdGFFNX4myzAUEbdqH2y1FiF+GHuMTCFzxGcL/gcYLHQGAyiwBgZb3xxhudVdjXOdu6ANZRPlj7AW8FjomgTwb3iwETciGkAm+LYLZ58Fnf+ZQny3hUO3pXeOK1qR8CjfuPGznhHZmSyYBGEMIZsABjCU6WgyFZfdPhp6nLNrdDGPZnQMFnxg+DpweDZT4LfHmgrwUz2ntYF+6HZLOnrRkgCofsBGFQMJ3oTwbPDdPfMRgW9uhhJgm8K/B88f2SgUbagFAV2oWBr3AYEKI9eC0MFuB5wSAAg0jloTzXKoQQQghRUZTv7VMkkJcXM523XLvKzp0tiENedhEQqSApGcIaMQRYVJNBIjterr0w9C/RWBSxPuLmCgh072aOJY1EbFigORfHx52Y8ljBEDm4AjOQgMsvbs2IVeJYM4V9wtY0P8VW2E2a+N2HHnrIDSQEvRZwTW7evHnkcVK5WuOGDLiUY6nPpC6IqrBlkWm3vHcCbsnENPs2wOroxTltRv0pwxR1/l74RHcIdMQz18mAQ9jCTSw01tBspviKIlk7RoGbN+fLxu2eARLcr73A5FppR64XYce5gxZe+g5ingSD5a1vGNocoqzL6QjfawY4eCbCU0Fyj3kuSBiXaYhBKuhrxJczgObd7hHHDJpF9Wc8CEiWRzviiRDOF+Cvv6xeCuQNwKOF4yK6ecbD9+HJJ5+MFOLBkJZUMGCA1wvl+T0hiWBZKc+1CiGEEEJUFLLQVyAIofz8vCr5ZJMMC0giNnXq1HgGe4QRn1RWeuJFedFOZYUkbhXxjgXMf1hGOJCV24MQDcf9+yRxPnaYLNpY7YM0btzYxbumii+OApGAizaeBh6OjXsucfwe6svgArHZxNligQtaJKl3sJ24BqzlPoEZggHX3yDejRw380zrgoWfAY0guGATu+ut05zXtzECHBDnLCNomW+dpIK+jBfulGU52zbMhnTtiKU1DAnGfBtlAt4dxEr768Pjg0Ei/g6KeY5LBnZi9hGN4OcUz7S+6WBgjP2SZYdPBSElYYL3Gnh+cBPnQxgLUL/yWIjxhkEwB/sz/ZB1bAvDQAOeAeSGwEsm6veC6w/nh8gG4uJJeol7P/fT/0YQagN48wQhNwQhCLQ9fcfPDOChHwQT1/HbQd0ffPBB8/nnn2c1O0UY2r481yqEEEIIURFI0NdCcF3H0oX7LKKQl3iEDK7yySCDNiKILNPJ4GWeD9bFICyTPTvodk+MLq7o/oWdbwQnLrQ9e/aMl6NMMMM+Mde8wCPQsgGhjMu6F7Uck5hdptbzMbljxowxRx99tBMJCAPahZd+LN1BrwaW/fRxTz31lLMuE7vrrwtXaazFgLUTDwis696a7usybNiwpHUBYqR9+2Ct5Vy4qld3MmlHrK98gsIL63BFXx/WZwZH+vXr55apC5+gkMukvlhyyYieCuKxo6YVTAf3Nngunk2Eq+9TuN/zNwMw5Bnw1/D444/HXf0zgWcdQTtu3Di3jFUeN3qeCc7Bh79Zl8zyjCcBgpsp8khIRwLBIFx/ML8G2xlszGagg/vFtTHw5KeZxGOAgQx+D7w3Csn3SBTp3exJEMl+9CM/4EP5cLb8YHw9A5UMwmULg6FY6AlFEEIIIYSoUipq4vtcZeHChSgq9x1m+fLldsKECe67prBo0SKbl5fnrin8GT58uCtz//332y5dutjWrVvbAw88MPI4p556qm3Xrp2tX7++7dOnj500aZLt3Lmzbdu2rR0yZEhCWZZZH4vFXNkVK1a4c+211152m222ceu23npre8ghh7jjeEaOHGmPOeYYu9VWW9kdd9zR9urVy+6www52xIgRaa+TYw4cODBh3bx58+yRRx5pe/ToYbt27WqvuuoqW1JSEt/OeaLapX///gnHefnll2337t1t7969XX1+/PHH+Db6wrXXXmt79uzp6sAxOeeUKVMSjjF//nx79NFHJ63LO++849qH7ZyHMsOGDbNFRUWlrvXMM8907UhduW+HH354qTKsYxtlKMs+yaDM5MmTk26/+uqr3bVx7+kD/P3NN99k1Y5PPfWU3Wmnndy+2267rbu/n3/+ecJ5Ro8e7bYH+1m4b8GMGTNKlfN9+bzzzousC2Wzqe8dd9zhjpuKBx98MLIMz1Dw/lAmeB85Nm2w3XbbuW/6+Ztvvhnfzt9R9fP3iX6zcuVKe99997ljN2/e3D27/B08Du3ZokUL+/XXX8fXFRQU2MGDB9tu3bq5z6BBg9y6YN05Fsf0zy7MmTPHbrrppgm/EcXFxbZDhw72448/ju//+uuv2/bt2ydts9deey2hbfjt8dx9993x/kq5xYsX25NOOsl27NjR9Zd9993X/vrrrwnHu/HGG+3mm29ut99+e7vrrrva8ePHu/X0B/bz/YP2p705/kYbbZRw3kzq9sgjj6TtD7nEqv6/jr7Ec823ELmC+rXIRapjvy4oWmRHTb8l/slVHRokxj9VO6RQvWGaMuKmsYSFLXRYipjeiZhOP5e7qBqwlmFp89NPkYwPS991110XL0NXx3WZkIFsQxRE7QXXanI74EXhQyui8BZbrNzlyZ6eLdWlX+NZQI4CrOY+0SPz0p9wwgk1wrMkm5wH9AdCOKLCJXKRVf1/Hd4i/J7jXRH0WhKiJqN+LXKR6tivVxQvNmNn/Rd6uW2bf739ck2HBqkeLS9EOSFO3Wdjx8164sSJkXHAQpSlbzEwlErMA7Hn5IlgSsayuHHXZMhCz7UHcxPwHB577LE5JeaBMADye9QWMS+EEEKI6o2y3IucgNErBBVJtbCgMV91RWQCF4L56DOdkx4LJvkooqaDy2VI4McMF0EPAdalmlaxpsKAjZ8VQAghhBCiqpGgFznBaqutlvXc9EJUBiSOC085WBuev9qCxLwQQgghqhNyuRdCCCGEEEIIIWogEvRCCCGEEEIIIUQNRIJeCCGEEEIIIYSogUjQCyGEEEIIIYQQNRAJeiGEEEIIIYQQogYiQS+EEBXI7NmzTWFhoalN/P3331VdBVFGdO+EEEKImo0EfS3k+eefN7vvvrvZZZddzNZbb20OPfRQ8+eff8a333TTTaZr165uTumTTz456XF69eplGjRoYHbccUczYcKEhG3WWrPuuusm3X/p0qXm/PPPNz169HD79+zZ0+y2227mzjvvTCh3//33u7nlKbPDDju4cuzH/lF8/vnnrmyLFi3MWmutZQ466CC3ftq0aW5u+p122slt79atmzt2kDFjxpgjjjjCbe/du7fZfvvtzciRI0udgznGL7roIlOnTp2EdoOioiLz0EMPufPsvPPOpnv37uaEE04wc+bMKXWMM88802y11VauzBlnnJEwd/lVV13l7gF18R/qxD35448/4uVod982HOvll19OOA9zg++5557uXrM/1/3MM8+YssL1Mrf4dttt587L/OyDBg0yy5Ytiyz/5ptvujo/+uijWdeLPsSc32yjnxxzzDFm4cKF8e1z58415557ruuHtHfnzp1Nv379nKD2fPLJJ6Z9+/YJ7cjnr7/+yvieZsMXX3xhjj766KyOPXz4cNdXdt11V9e/t912W/Pee+/Ft8+bN8/1B9qJum+55Zbmuuuuc30tCNM20g/ot7TFsGHDMhJz++yzj7uftPN9990X30YbcT6ecdrwtNNOc+vHjx9vunTpYho1auS2//PPP+bTTz81AwcONCUlJWVqt19++cUce+yxru59+vRxv0t77723eeCBB8yiRYtMZcJzz29VQUFBVvsdcMAB5tZbb026nb65ySabmPz8fNc+QZ577jl3r/mdog2DfbasvPrqq+7jWbJkSfz+hZ+/IE899ZS5/PLLy31+IYQQQlQRVqRk4cKFlmbiO8zy5cvthAkT3HdNom7duvbdd991fxcXF9t+/frZjh072oKCgniZjz/+2JVr0KCBnTVrVqljjBo1ym1v165d5Dk++eQTm5+fb1u2bGlXrlxZavuAAQNs37594+csKSmxQ4YMsRtssEG8zKOPPmrbtGljZ8yYEV/30Ucf2Tp16tipU6emvMY+ffrY/v37x5evueYau/POO9tFixa5c40fP97Wr1/fDh8+PF5ml112sZdcckl8+YEHHnDXzz32TJ482fbs2dMee+yxrl+wHIR6sc/333/vlrk+zkt9ggwePNhdf1FRkfvsuuuubp3nyiuvdPcgyBtvvGG32mqr+DLX0rZtW/vkk0+65Z9//tk2adLEjh49Ol6Gczz22GPx5ddff93GYrF4/aLg3PPnz4/c9swzz7hj+nu6YMEC26FDB3vuueeWKrtkyRLbpUsX107Bds60XsOGDbOdO3e2y5Ytc8vHHXec3XfffePbv/zyS7d98eLF8bbedttt7cEHHxwvQxtyPalId08zZc6cOXb99de306ZNy+rYm2yyiR05cmR8+Y477nB9c/bs2W75iSeesJtuuqlra+D4rVq1il8X/Zl7znPB8wE8s+uuu6598MEHk9aXZ79r167uufP7tG7d2r700ksJ5XjGg23I88g1hfvnoEGD7PXXX59lq1n72Wefued8xIgR8XWFhYXunLTZO++8YyuTiRMnumef5zAbzjrrLPv000+nLEO/5xp4Rnheg9AXwr8L5YHfu+BvXvD+hZ+/MPvss4997rnnkm5f1f/X0TfpZ3wLkSuoX4tcZFX067nLf7MLCv7KuHxB0SI7avot8U+u6tAgEvS1UNAfcsghCctjxoxx14hI9/Cyvv/++zuBeMUVV5Q6xqGHHmqPPvropIL+pJNOcuKY4yLWwqy22mr27rvvTliHcEP8eg488EB3njCsD4r8TAT9ww8/bN9++20nRBFAsPfee9vdd989Xua0005LGLygHNd/3XXXxdcxEPDrr7+69okSaDNnznTHCfLCCy+4stOnT48Lv+CgCrz11ltu3dy5c+PHQRAHQagG2+z22293QshfD9BeBx10UHz5m2++ceLIg6igLq+88krStkslamn3P//8M2Ed56OvhDnnnHPsfffdFyno09ULcbXmmmu6/T0//fSTK/PDDz+4ZQQuYix8TgYRshH06e5pplx44YX2+OOPz/rYX331VcIy10fZcePGuWX6Lf03yOmnn2433nhj9zf3/8QTT3SDG+H6MMCQjNdee831OT8gAueff77t1q1bUkHPgNXWW2+d8Fvh+euvv2zDhg1LCddUMAizzjrr2Ftuif4PlwGsyhb0lQn9nt/Jxo0bl+ob1UnQM6jCfQj+lgSRoBei/Khfi1yksvv1iqKlcWFeVFLaQBhFQS0U9HK5r4W88MILCcu4ZMKKFSsS1uMOevzxx5t77rnHLF++PL4el+/i4mKz4YYbRh6f+OHPPvvMuQm3bdvWPP3006XK1KtXz3zwwQfuOJ6GDRuaDz/8MKHM119/bebPn5+wL27luNNnA+7Ae+yxR6nrDl7z3XffbdZcc834Mq7i9evXTyiDi3my64ZWrVq544TPA/44uN/SRrjIe3AxZp138ec4jRs3TnC7pr2OOuqo+DraCnd96hk8TrAN2Y6rN3D8m2++2Wy22WbOvbss0O7t2rWLL48ePdq5mYdDK8aNG+fu3UknnRR5nHT1+uGHH5wbcrCNNt10U9cmtAM0b97cuTR7fv75Z/PKK6+4EIBsSHdPM+Wll15yIQTZHpuQEg+hJLfffrsLIdhiiy3cOkIT6L+p+u7UqVNN69atE8q0adPGPavJYqTpJx07djRNmjRJ6D9jx44t9cwBxzrwwAOdWz5hAWFwW19nnXXMW2+9ZTLl9ddfd+EwwX4dhLAB7rsH935ChOgXuOf379/fPRvw4osvxkOFCPXYd999TYcOHcy1117rQjX4LSOsoG/fvvHr8yEr7EN4Blx22WXxMA3Cj7in3MPHH388Xo8LLrggXiYd7HvbbbeZhx9+2NUrFTNnzjSHH364uw7CGgjf8NdHOBFu+tSV3/D999/fHZuy1Ofdd991H+rEtiCzZs1y4SiErnDvJk+enLCddYQF8TwLIYQQ1YWikv/0x+SFH1VpXaozEvQViPN4KC6smo8zrJaNL7/80qy99toujjbMWWed5V5+H3vssfg64kZZn4wRI0a4l+C6deu6l1Ne2sMx7wg9xBexvhwvHNMMvIDzso/oIAYZoVFR0F68vB522GFJy/z666/u2g855JBynYv2RSghALwwQsyuvvrq8TIMJBBrG37R9hBfjrBjkMXDccIiDsGNePEiwHP66ae7cyCGuT9BEVcWEG0bb7yx2Wuvvcxdd93l6uYhjprzMbARHGyIIlm9fJ6A4PVxLJbDbfTtt9868YtYI26ZnAXh9kfEEYO+3377uVjzigYx9Ntvv5n111+/zMcgJpuBHMQXzwb9IRlcU7DvMsgSfoa8kOcZiiJZ/4FwGxPjznNAvD/tnIwNNtjAjBo1ymQKgz6rrbZaqXp4yAkQHEA6+OCD3Tm++eYbN2jIIOCRRx7ptlE/hLOv7xtvvOH6FPHhl156qcvPwX7Elt9xxx2uHINIXsh7hgwZYgYMGOD6FdfKwMctt9zicggsXrzYlbnxxhtdmUyhT3J/TzzxxFL5NIKQ84OBqu+++859wF8f/ffZZ591fyPc6SOUof2oDwOWfLgeclQEYbDj3nvvde3NICuDrUHoa/w+ZXPvhBBCiMomL/bfu9Ds5Yn5usR/SNBXJCVFxn59a5V8OHdZwMqHFQpRhgAPw0seL9GIboQaAvfHH3901rFkYJH3FjdeRkmYFkzWBCQ7QxwgbElWx3lIisexPSzzcspLNXXEqtupU6dSxyoLnBsRkcyCDNdcc42z9mJlLSu8vGOZo309tAfeB2FYlyy5HAMqxx13XMI6yuJBEMQvh4+DuKYuWO8YuJkxY4YpDyQs86KJJHlPPPFEfBvXivhgsCYdyerl6x91feFro1+QqA2xhqUfi6wHcUTfQtBg4eR+InrSWUqzBcsqtGzZsszHoF/TFhyDxHDJ+gIDEoh0LMke+vHvv/8e94ZBrHvxF/SCKWv/of2438nq5GHAybdFJixYsCDBEyUVH3/8sROc5513XnwdApkEglx7ED/YwaDTGmus4QYqSOKXl5fnkijiQZIOBle8xwX9k0FJBm3KyoMPPui+Tz311JTXd+GFF8YHsEgAyvXRt4OQQJBrYQCM/dKBt4IfLGOQxA8WlOfeCSGEEJVNLCDoM8eWXvNvmLnJVSToazm4SmNFx5U2GVg9eZnH0o67barM97z0Iq68Sy6usbiFRrndY+H6/vvvnas0VjReWnnZJHu5B2GINQpXW86NOKGu5bGy4s59ww03OAuXd/uOEvxYOBGIZYUs5AxoYPHD1dWDsAhmtPewjm1hcAvm+sNu8pQNh0n45ajjcK0MUjAwg8XRg7dFMAM8+Gz/fPg7GYgj+gN9BBCaCJewBTAVUfXy9Y+6vqhrA1yzL7nkEjdY5F2qyQjPbAZNmzZ1y8zugDvy0KFDTUXis+8n60+ZgsUZS/KkSZNcHwxDn8RSjAW2WbNm8fV4KCDseM64JwhBfw+w4EaRTf9hFgas2Qzk8Lwmg0HBKHf9ZCAio2asuPLKK13fI6TCC3gG+xCxWOJ932SmCCz44QEqwg2C1xlcZgAhOFtCMvBa8vj+U56M+wwscE8ZHHnyySdLbef6sJQTJuDx4Rr8pgYhtCEbgtdCv4m6jmzvnRBCCFHZxExqT89MsLbEfD/ncfPj3GdzVtSX7+1TJJJXx8R6nF1l584W3Nh52UVMpQIxirBGBAOurslAaOCWGowtJUYaKxPWR15qAYHq3Xuxol199dVu+izOxfFxT6U8L/yIJNyyEY5MXYZbM4MLTPWVLVguiSVFzBPzGwXWW6aeYyAhymshExCnxPciwsMu4NQfsc/AhXe7J16cwYool22mnOJYiJnwccIWNdoVq7S3FDNIEPQG4Bi0d3CaQe+m7MEyiHXXhwgE4V5yP4Ku9Igu6s/n/fffd9twxQ9y/fXXu+tgcIO+lK5evh24vqB4Ydlvow3ZL9gu1IVjY0klzCEKXLZT9eGy4EMhsp1/nv9YuI5gP0M84hYdngqS/sJzwQAFcdNh8HAIeh4gHIm1TxbDTzuGB8boPxAUlYB19+2333aeOQyKYEmmjmG4/my8FHjeGTSbPn16gujk9wD4HQm7qOMCnyocAcLbw8uZ/Ice3Mf39/K+COAdgpfI4MGDnXdLWUl3/enKR11HtvdOCCGEqHzKL+gLiheY5UU+FNVWyDGrG7LQVyC89MXy61bNJ02schgEFom0vCs48aJ8koEF9quvvnLWsVRWSGK9Ee+4yvsPy4iW559/Pl4OMR5+qSRWHrxrKJa5sKsp1jWERFliwBENuOLiAo+1EZjnOgj1RUzwso2wwmIVTiKYCcSGr7feenH3WWLEfVw4XggIuGB7c52sY1sQRD7zREfF6+IOTF6BYDtynKAlPyreGWtmUDxlAy7O4X7C8RCOiAHCAvCACN5/P3jE34j5TOqFuz6DOMFzTZw40Vlz/fUxOECCxPAxwB+HwYpwPDhWbu5NReIHp8K5C9IxZcqUUt4x3HMGR4L3iEEy4v+xXOOOH+67uK6H3ahJvog3QrJBKfoP1nZiyoP9hxCGKKs+g3E8y/S3YGK5IFx/snj4KLgmnucoi3UYQl8YKCO3RRBc2INePdUd4t3xGCBUJXx93Ptgf/WhBD5BYiqCA1uERiQLtUhGtvdOCCGEWNV8P/sJs2SlwsPCSNDXQnBd5wUaKxGCkJd4BGzYrTP84o2AQNCleiHkg6U1CMtYS4Nu97xw8mLrxSjfiC/cZ8nk7KFMMMM+whh3ZJJHZQMv/IgQskYD18wHq7FnzJgxbvsVV1zhxDfbibvOJmu3F6/UkdwD/jwMZvikZVjleZnnehEofPibdWELGQIKCytW5TCIZ29NB4TOO++84zJee7DyBuvPfUfEYfEvK+RT8JZoxDGzIBDTm43VMF29OBbtGJxhgYznxAIHcxqw3btsI2rJtYAF2VuPEbnE6ft+xmAD2ehxW88GwghS5QTgvuEdUJYYayzOwYELBtsQY4TCQEFBgXv+CGNh4MD3KSz1QeFH36Us8Cwz2BH0viEpGmEJvgzu8+SkwMUfsISTyZ2whWTg1UKiOSz57B+Oqef6g/k10rUbMfv8LmClD1usiXNn0NELVTL/E05AjgSeGWCwjWctmGCyukNYBYN04YEJf330YaDP0i705+BsD8lgAMwPsjDwSrtkCgOuDC6lyo0ihBBCVDXLiuaYn+e/nuVeMZPzrLKJ9GoouTYPPXNE5+XluWsKf/xcxffff7+by7t169ZuzvcoTj31VDe/cf369d1cypMmTXLzYLdt29YOGTIkoSzLrI/FYq7sihUr3Ln22msvu80227h1zG19yCGHuON4Ro4caY855hg3F/WOO+5oe/XqZXfYYQc7YsSItNfJMQcOHBhfPu+88yKvmWvwcJ6oMsG5nak7x6Z92Eb9qbfnxx9/jDwGH+YiD86/PXjwYDfnN59Bgwa5dWEOP/zwlHNIcz7apHfv3rZ79+72pZdeSth+xx132G233dZut9127ps2fPPNN1O2Xaq52L/88ks31z1ttf3227t2uOyyy+zSpUtLlR06dKhrK47XsWPHhDm3M6kXc2JfffXVdsstt3T946ijjrLz589PmJd+wIABbjt16dq1q5uffe7cuaXqy/FpI+r9yCOPJJwn3T3189tHzfEd5NJLLy1VJt2x+e249tpr4+3Zo0cPu8suu9gvvvgiXuauu+5K2qd8O/3222/uPLQzz0rfvn3t2LFjE+py6623uv4evFfMK7/33nu79qEd77nnnvi2KVOmuGPyjLMfz7xn9OjRtkmTJu583CP4448/3HzrS5YsyardgN9R7i/t4/sV3zfddJNdsGBBvNw///zjnolNN93UXSd/z5w5021jvnrfztSbfrDbbru5+lPPp556yg4bNsxdS/Pmzd2+9CHfR9n3hRdecP3Wl+nXr587f7DMe++9Z88///x4GdovCq6d81KO44S54YYbSs1Dz/XRXzkPv6e0yZw5c9y2cePGufbx/ejOO+9M2HfixIl28803d/3cn8/fP3/9zz77rPubdTvvvHN8348++si2b98+6f3RPPRClB/1a5GLVP489IsT5pTnM3rGXSn3KShamFB+WeG8+N/FJUU2F+ehj/FPVQ8qVGdIHkRMMkmUgkmoAEsX7pHEm/q5xkXVgMWY6b68ZRaLFpat6667rlS8cjgGXIhUYLnEOk5+ACzayeA3Ak8ULNjhGPTKpLr0a3JFMHc6nj/ZtJuoWnwIBbH9eIJEsar/r8MDg99zZhoI5w4Roqaifi1ykcru1yuLl5hvZ/07S4ynbl4js1Xr5Am6C4oWmnGzH4kvd11zgPlu9r8eudusdUbCVHg1WYcG0S+KyAlw/fbZ2HGvJ946HI8uRFnw08GlE6X84BL+QEx31CwGuQzTKpLXAlGYbbuJqoVBT6YITSbmhRBCiOpEXqxsCatzGWW5FzkBYorkX9tss40TU8xtT0ZpIcpLNrMpkOyPfAm1zfrCDBXhvAxlmYVCrHrI3VGTchAIIYSo3eTFspWvscDfuemYLkEvcgKycpdnbnohKopULlG5igRhzUX3TgghRE2iPC7z1ljnkl8/v1lOhd9K0AshhBBCCCGEqAHEylx67KyHTVHJcrNe0+1N2ybpZ5CpKdQuv1AhhBBCCCGEEDWUsrvNF5X8OxXyX4s/M7mEBL0QQgghhBBCiGpP9vOzxUyuI0EvhBBCCCGEEKIGUFLVFah2SNALIYQQQgghhBA1EAl6IYQQQgghhBDVHjLVi0Qk6IUQogKZPXu2KSwsNLWJWbNmmaKioqquxirh77//ruoqCCGEELUCiffMkKCvhTz//PNm9913N7vssovZeuutzaGHHmr+/PPP+PabbrrJdO3a1c3PePLJJyc9Tq9evUyDBg3MjjvuaCZMmJCwzVpr1l133aT7L1261Jx//vmmR48ebv+ePXua3Xbbzdx5550J5e6//36zzTbbuDI77LCDK8d+7B/F559/7sq2aNHCrLXWWuaggw6Kb1u4cKEZMGCAO163bt3M1Vdf7eoZPt+WW25p+vTpY7baaiszZMiQhDLp2g44f/jzv//9r1Rdx4wZYzbbbDNXpyg++ugjd83bb7+96dy5sxk2bFikkGJ/zsE94/POO+/Et8+bN88cd9xx7nop07t3b/Ppp5+askKdjzjiiPixqNvIkSNLlVu5cqW56KKLTJ06dUq1j2fRokXm+OOPTzoPaCbtyH0Ol3n99dcrpb6Z8MUXX5ijjz46q2MPHz7c7LzzzmbXXXd1/Xvbbbc17733XuTxS0pKXP9t37595PZ0fSoMdTvzzDNdX+/evbs544wz3DoPzw/PkW9nv22nnXYyeXl57jfg3XffNfPnzzd77bWX+eeff0w2cK+4ZvoAffeBBx5w65944gnTrl07s/baa7v7V15uv/12s8kmmyRtt2zqdsMNN5j77ruv3HUSQgghRPZYxdCXxoqULFy4EDXnvsMsX77cTpgwwX3XJOrWrWvfffdd93dxcbHt16+f7dixoy0oKIiX+fjjj125Bg0a2FmzZpU6xqhRo9z2du3aRZ7jk08+sfn5+bZly5Z25cqVpbYPGDDA9u3bN37OkpISO2TIELvBBhvEyzz66KO2TZs2dsaMGfF1H330ka1Tp46dOnVqymvs06eP7d+/f8K6fffd1w4cONCda+nSpbZTp0522LBh8e3vv/++zcvLs2PHjnXLCxYssO3bt7d33XVXVm3HudNx/fXX21122cVuttlmpeoJ1IHr5HqBe7DuuuvaBx98MF6Gc26++eb2mWeeia879thj7dChQ+PLxxxzjO3Zs2e8fq+++qpt2rRpQpsGmT9/vr3yyiuT1ps6X3LJJfHlBx54wPURngPP5MmT3TmpC88Oy1HX161bN3vooYe6MlFk0o7pylRUfTNhzpw5dv3117fTpk3L6tibbLKJHTlyZHz5jjvusPXr17ezZ88uVZZtLVq0SHju6M88Y9z3VH0qisGDB7vnsKioyH123XVXty4Ixwq2c2FhoT3yyCPtTTfdlFDuxRdftHvuuafNFtqEtuE3x/P555/bHj16JLRleRk+fHjS36ts6sb1d+/e3X7xxRe2trCq/6/jt5XfKL6FyBXUr0UuUtn9uqBokR01/ZaEz9iZw1Pus7xwQUL58LL/1HQdGkQW+lrI/vvvb/r27ev+xsqGVe7nn382Y8eOTSiHxQ2r4l133VXqGLfeeqs57LDDkp7j6aefNhdeeKGzEGPBC/Paa6+Z/fbbz9SvX98tYwU755xznFUuWAarKhZCD5bBfffd19UrG3744QfzxhtvmLPPPtstN2rUyJx22mnm+uuvN8XFxW7d999/b1ZffXVnoYfmzZs7K3zQWppp26Vj0003Ne+//75Zc801I7fjKYCllesFyh111FFm6NCh8TIPPvigadq0aYIFk+14DXi+++47Z5X27YwXxOLFi82XX34Zed4FCxY4z4VkdOzY0Zx11lnx5RNOOMHdi1dffTW+bsmSJc7CimdAMlasWGHeeust18cqk4qqbybg2cL9atu2bVbHfvTRR50nhgdLOO0zbdq0Uq7eDz/8sDnppJPK1KfCzJ0711maeSby8/Pdh79Zx3MbBRZ6nnuey/POOy9hG9b8X3/91XzwwQemPOCZghcOz2uwLasL9B/61AUXXFDVVRFCCCFqIdm54ceSeILmEhL0tZAXXnghYRm3eUBEBMHNFpfoe+65xyxfvjy+/o8//nAieMMNN4w8PvHDn332mbnqqqvcCzniPky9evXci78X09CwYUPz4YcfJpT5+uuvnTtvkJdffjlB5GcCx23SpIkTeB7EOvHOiH3Yc889zbJly8yIESPc8l9//eXc01u3bp1126WDwYxUPzCcO3heaNOmjWt7H8NLOwSFIOCivMEGG8SXDz74YPP222/HBdqTTz7pvsPHzpS77747QTByDQwWBK9/8803T9o3PLgyZ3sPq7K+mfDSSy+5UIwgmRwbF3oPoSS4hzMwsMUWWySUY/CIASiek7L0qTD0bZ5V3O2DzwTrosIS+A048MAD3YAag2FhODf1fvHFF01ZIVzkyiuvNG+++aZp1apVwjYGR0488cR4SMwBBxzgnpMgN998s2s3ngtCCDhWVGw/oQFsb9asmRtAyTYunhCJUaNGmenTp5fxSoUQQghRFhRXXxoJ+gqEWOviksIq+YRjwbMBay1CcLvttiu1DUsUgvqxxx5LsM4HrZ5hEMQIm7p165rDDz/cxaKGY96xMr7yyisuNpzjhV/MgcEErJSIcGKQs7WCB0EIh0WsF5STJ09231jEERSIBuJtEWKUueyyy7JuO+KSER0IC+qOVTwbiPUNt4kXHd5y++OPPzpxd8opp7jzIzIef/zxhH0YVMGroEOHDmajjTZyQmzw4MEu9rkiwCJL/zjkkENMZZCuHRFm9DG2E4OOdZk481Vd3zlz5pjffvvNrL/++mU+BgIVEUteBJ4NLOYerNVYhvfYY48KqvG/zwTHxCvFw+AH5/XPhIfnFyF/zDHHpPQ2YDAJoVsWuGbi0/HcaNmyZant/GZQj2+//dYNODAQwiCcHxQkxv2OO+5wg3cMVjzzzDNO4DMQEAbPljXWWMM975988knWngA88wwMffXVV2W6ViGEEEIkx9oSM3vZBLOieGHU1iyPFjO5TnZ+yyIlJbbIfD2ztHv6qqBH60EmP1Y36/2wVOIqjFs9AjxKWGLlRXTzQk1iOYQkyeuC1vQgWOQRjXDkkUeaW265xbk4B5OFkdwM8cNxcbU/99xz3SAAy1g1vXs4L9skpqOOvOwjuq+99lonfrIBy7t3O/f4ZbYBAwaI36eeesoJBaxvJCzDipdN25FAC1dyLK2ICQQn10LCtKBIS8Wpp57qXOppS1ztEV/PPvus2+YFDMIUF3vEHkIWTwNcoakXgxJwxRVXOGsnQhaxiDtzeZK+hbnmmmvMoEGD4vesIsmkHRl0ue6665yQ/P33352o55v7sirrO3PmTPcdJUQzhWcEKzj3nkEMhDGhIVz7JZdckjRRXlmh3+MFE4Z1/pnwEI6C5T6YZDIKvHp8W2TLvffe6+5j1AwBvv/jsUOoC/B7RLvwG8FvB78L/fv3j1v2N954Y2ehD19jQUGBCxvAZT5qEDNTynOtQgghhEjOP8u+N38u+qSMFnprahuy0NdyyEKPUMKVNhmI7V9++cVZ2hGOqTLfY0EbP368y9QNuPMiuqLc7snEjVAgBv3yyy8333zzjbO0EtvrQaASg48llnMjZqkrwjQbEEZht3i/zDY/yIAbLmLeW+Gw9iaz5iZru9tuu81lwgfc/G+88UYzevTorOqM2zBChXbDmk5MMdZ2WG211dw3ohYrJSIX8HYgnh4BDIQTIPgRLl7kYMVHAHvXe/BZ4Pn4ePxg1vhk3hgMduA1gBW0MsikHRms8CEGfBPXzaBQMERkVdSXgS7INrdDGDwuGCybNGmSqy/wbOCFQchFRUK/D2a097DOPxMe+iB1YKAuHHYShIGtcIhMNvcb74S99967lEfPTz/95LyQ8Njw/ZKBRnJu0M/x3MCjJRzeQN8PXguDBTzPPFt4rZSH8lyrEEIIIZKzaGViHiGRGlnoK5C8WB1nKa+qc2cLLsy87GK1TAVTyyGssZAD8fHJIJEdL9e8cAdforEu4paMmysg0L3LO5Y0ErHts88+7lwcHws85bGCIZJwBUZA4/KLZZ/BBcRpprBP2Jrmp9jybtIMWoQtdrz0Y+VGsJEkL9u2Ay84sRx78Z0J1AXB6iE2mZh9L1rWWWedUq7CCBw8DAC3aeKHw1N1sUy8N20J3vIPWO+5ZgRPKqjXQw895AZbojw7KoNM2pEyDPpMmTLFhU2sqvrSTyHb+ecRqdyjYJ1wB+e++qkgGcDAzdwLae4RfZdnjL6AJ0dZoN9zbgbQvNs94pj2iwodIB8BuRjoN3gihPMF+Osvq5cC3jfke+C4iG6e8fC9YiAqSohnGtLCgAGhPJTn94QkgmWlPNcqhBBCiLJRnjDjXEUW+gqEpFD5eXWr5JNtBkeSa02dOjWewR7BwCeVlZ54UV60U1khiVtFvCMI/YdlhANzuHsQ4+EH0ieswxoLWFux2gdp3LixEzu+TKYgEnBdRrR7ODaWayzbwHFnzJiRsB/LWMKD7vqp2g7BgOtvVOz7euutl3F9yTZPhvogxAUTEuBFDm7Z4foyaOHP48V+1DWFLbDZwD1lAAZXf8QnVspUVtuykEk7EvIRnHPel+FZYLBjVdbXD04lyw6fDAYewh4eCGqENR4igBcL994/T3i2cD7+ZpCirOANQ18KPvc8E6wLJ1sEXN3J2E+/o85Rvxdcf1kTLgIeJyR75N5ynf43olOnTu4bb54gDLbhzcB9pV/gmh+E9gkmruOZoO4Mgnz++eduhoGyQj8qz7UKIYQQoixkK+ityXUk6GshuK5j6cJ9lrhxXuIRO7jKJ4MM2iSd8rHZUfAyzweLexCWyZ4ddLsnRhcXav/Czjcut1iYyYDuoUzQfZrM+LzAp4vlDYNoJ6kX5wCOScwuU+v5mNyBAwc6i50X0lwLL/7s57PZp2s7roucAT5OHXGGFR9rcTYeBSRYI3aeeF/g+AidoEcAU4wRUzxu3Li4UH/uuefM6aefHhcvuKzjwu2PQ12x/KaacjAVY8aMcbkQEFKIJ64fYUQis4okk3ZkUIVYeR/vzf0i3ODYY4+ND/hUVH3pB37gJwostdSN+5YtiNegOPZTKRLOUZHQX+kTvr9glceNnmeC0BI+/M26ZJZn4tHph0yRR2gKuRmCcP1Mk+hhOwMs2Qx00GdJ7ojniJ9mEo8B8nHwe+D7MjkG8DTxHiuXXnqp24/BED8QQvlwtvxgfD0DlQweZQt9Dwt9RSWXFEIIIUSm5L5Az5qKmvg+V1m4cCG9xn2HWb58uZ0wYYL7riksWrTI5uXluWsKf4YPH+7K3H///bZLly62devW9sADD4w8zqmnnmrbtWtn69evb/v06WMnTZpkO3fubNu2bWuHDBmSUJZl1sdiMVd2xYoV7lx77bWX3Wabbdy6rbfe2h5yyCHuOJ6RI0faY445xm611VZ2xx13tL169bI77LCDHTFiRNrr5JgDBw5MWDdv3jx75JFH2h49etiuXbvaq666ypaUlCSUefDBB223bt1s79693fWcdtppdv78+Rm3HX3h2muvtT179nR1oO6cc8qUKQnnoY3Z3rx5c9fO/P3mm2/Gt1OedR07dnTX3rdvXzt27NhS1/nuu++6tqNtuK477rgj4ZrmzJljTzjhBHdNlOH7scceS9pukydPdteTDK4n6vr79+8fL8P9pe70IbZxj7m3QYLXRxn+HjRoUHx7Ju34119/2cGDB7vrpl9wbRdddJFdunRphdf3nHPOSdgniksvvbRUmXTH9tdJPbfffnt3Lbvssov94osvSh1/xowZ7ljB545+x/1euXKlve+++1L2qdGjR9sWLVrYr7/+Or6uoKDAtSFtx4d7wDoPzz/H4pj+2fX9atNNN034jSguLrYdOnSwH3/8cXz/119/3bZv3z5pm7322muuTWgb2ojnwnP33XfH24xyixcvtieddFL8mdh3333tr7/+mnC8G2+80W6++eauLXfddVc7fvx4t552Yj/fbkVFRXa77bZzx99oo40SzptJ3R555BF3nNrCqv6/jr5Ef+dbiFxB/VrkIpXVryfNe92Omn5L5Ofrf+5Lue+ywvkJ5ZcXLog8Tk3XoUFi/JP9MEDtYdGiRS52mhjqcLZzLEXEKRPT6S24omrAWoalzbuZk4wPSx8J4MLxyoQMZBuiIGovuMWT5BHvDe/6HQW/EXiiMG1jeROuZUN16dd4rjD1HFZzn3SSeelPOOEE5/2SK5A0kFwfjzzyiOnWrZupDazq/+vwFuH3HO8K70ElRE1H/VrkIpXVr3+e/4aZVxDt9Vgnr6HZuvUpSfddXrTAfDf738TCsOWaA8242Y+UKrdtm3+9AGuqDg2iXxSRExA77TO0k+Rr4sSJkXHAQmQLSfgIF0kl5oEfXNzEmXYuKnt8LkMWenJkEJbj4Tkk/CGXxDwQBkB+j9oi5oUQQojqhWzRYZTlXuQEiCmSeZFUCzHF3PZ77LFHVVdL5ADZ5D5A5CFsa5v1hQR+zHAR9BBgHfH4uQbTW/pZAYQQQgixapFzeWkk6EVOwNzs2c5NL0RlkMolKpefv9qCxLwQQghRlUjQh6ldZiQhhBBCCCGEEDUSK0FfvQU9CZVIKsW0R8x1TFxmKnCtvuiii1wyKD+9VZj777/fdO/e3Wy33XZm7733js9lLYQQQgghhBAil7BplnOPaiPomU+7f//+LvnUZ599Zo4//njTt29fs3jx4sjyCHhEP3NvM2dzFMyXfPXVV7us01988YWLr95nn31cRkYhhBBCCCGEEDWJ3BfoNVbQX3/99c6CvtFGG7nlY445xk3F9Oijj0aWX7JkiXniiSfMcccdl/SYQ4YMcYMEa6yxhls+88wzzY8//mjeeuutSroKIYQQQgghhBCrKine4pUzzIR5L5tlhXNNbaTaCPoPP/zQzR3uIUs0rvIffPBBZPnNN9/cbLjhhkmPN2/ePDNu3LiEY5IJfeONN056TCGEEEIIIYQQ1ZXSgv7Huc+ahSummInzXs6gdO5ly68Wgp75ihctWmRat26dsH6ttdYykydPLtMx/X4VeUwhhIClS5eahQsXmtoE18t1i5qHcscIIYTIFVLJ8JUlSzI+TmFJ7rzTVAtBv2zZMvddv379hPUs+22r6pgrVqxwgwvBDxB3H/VhdKemfZ577jmz++67m1122cUlITz00EPdIIfffuONN5quXbu6OaVPOumkpMfp1auXadCggdlxxx1dAsPgNtpm3XXXTbo/IRPnnXee6dGjh9u/Z8+eZrfddjN33HFHQrn77rvP5T6gzA477ODKsR/7Rx2X/AuUbdGihRu8Oeigg+LbECQDBgxwx2O+8KuuuirhHn7//femX79+8aSMeIFcdtllLkdD8Bz0kQsvvNAlYwy2m/8wQEUoCOegLr179zYjR45MKLPJJpu4bcEPCRyjromXcbxLqHt4G+3u2wZvlJdeeilh+6uvvmr23HNPd6+pB3UiT0Wq/jFnzhxzzjnnuPu70047mc6dO7t2mTVrVmR5PGHq1q1rrrzyyoT177//vtlvv/3cPO7ctz322MO1cXh/7svAgQNdfwtvQ0AOGzbMXR91of7nnntuqfs/duxY16cpt8UWW7j7Q8iO306OjiOOOCJ+P7jHn3zySZmen4kTJ5p9993XJeX06+gj1LNhw4bm448/LrVPtvfhkEMOiWyP4Pnox+3bt3e/T6zz3+EPfZxcIpyT541wpgULFsS3n3rqqe44/lmeMmWKW3/00Ue730v2Gz58uLternvSpEllarfly5eb6667zrU995L+xTVceumlLhSqLMfM5sN1hJ+PdB/Ks1+qMvSza6+9Nv5bxv2lH15xxRUVfg0kjuXjl8kxwzm5d9yjZPs9+eST7resvOdP9v9gZXxW9fn00WdVfNSv9cnFT2X063//3zFJPlHlTfxTerk48jjTl4yt8rbL5FNj5qFv1KiR+0YoBWHZb6vIYzZu3DjpfkOHDnUvv2Fmz55tCgoKEtYVFha6huaFjk9NAXHGSyECiPqTgBCx9e2337oX+LPPPtu9xO61114uTwHCd80110w4xldffWW++eYbs/baazvhBsE2+PTTT13CQl6Ib7vtNif4gpx++unmn3/+cXPHc04eXPIoIOgRGPD444+b//3vf2b06NFOnAMijHqxf3iwBhCO1GfXXXc17dq1Mw8//HC8XggZruPzzz934gJBQV8466yz3PY333zT1ZPwD8TU1KlTXTuwz2mnnRZPxkj7kesBURV178844wzz+++/uzagjq+//roTQohvfx14jvh2CxLVjwYPHuxCUHxf8/AyT+JIxMRRRx1lfvnlF3f9bdq0cQM1cO+995rDDz/c1dlf48EHH2w6duzohHoUCDbCUhiEaNKkiXtmGGw55ZRT3GBQEOrk70W4ftxHBl/oX4DA4TjfffddvD8xGMBx119//cjrHzNmjBtgor+ts846Togy2MLzyL0FBjwQiAhqcmYwCMAgAm1G/4GLL77YtQn9GdgXgU3f2nTTTU2m0Ba05wMPPOAGjajv/Pnz3WAB18BvhO8XQbK5D+T4oA9GtYfn7rvvdvebgR5+h3xiUPptGJ4/nkP6PQMOJ554onsW+A0AnjnaibYJPsv0Vcrecsst8eMiyLlWkozWq1cv43bjeeM3hufpnXfeiT+73F8Slf7666/mqaeeMpUJIVq0Vza/1ZRnv1T7XHPNNW7Aht+mpk2bunVcywknnGAuv/xyU5H4e0abAUKee8bvUfj5C8IA3QEHHGCeeeYZN4CbLRyX4zNYGf4trww4FwN9/L/AcyxELqB+LXKRyurXSwuXmsKSlUm3Y2QKUlj4X1n+r0q1HHyPnrU88TjVjWTJ4auloF999dXdi9PMmTMT1iP4/It+tvj9oo6JqEgGL/68/Hiw0GNpRoA0a9YsoSwv7zQ0llo+NYX999/fiWIPyQKxLv3www9m2223devy8/NdGYQFVvLwIMedd95pDjvsMCcSoq4d4XfBBRe4ARLEIYI2yBtvvOFehIODK4g/RKQ/HsIGaxdCzoNQ51i8yKZqcwQIPyy+DNfG8fjmhZQPIp3rYgCD6z3yyCNdffwLa4cOHcwGG2xg/vjjj/hxuOcIn2nTpjmrV9S95xyIF39t/E0/QbwceOCB8fpl0mdoJ8RPly5dEq4HqAc/pIhEjrfZZps5kYqwffHFF10ZxD77+v2wEPOj+9dffzlxFQWeCdw/BCuwL/2CwZdwnekHWCOnT59eqn54DCAI/Q88zxWDNggf2hoQotyXd99914nO8PGpAwMa3hJNgku8H/AGeOSRR9x9Q6RwDm/l57eE855//vlOUCFiEc6c3x8fzxG2I6yx6GfKQw89ZFq1auUsy0GRf8MNN7i6MVBAncLXkel9YDCCa8PDgN+iqD7CAAbJQrnG559/Pt5fo4QW7XvTTTc5we7FJtfNPcbTwF+7v0ecj3oNGjTIlb/55psTjsd1c514FyBYM4XzI+oZPAgOOtCv2Jbsd6QiCQ9GZQL3iU8q6EMMrK222mrxdQwsMehT0dcUvE9R21KdjyleGfhjQCZq4CcVHJfj8381v72VDb9r1JH/dyV8RK6gfi1ykcrq1wsWNDYrCpIbDngXC/LHP/+V5f+qaXOSL3uaNm5qWjVNPE51I9P/c6vNLwoWNSzEHu9Gi4ArC7xcbbnllgnHRJxj1Up1TMQTwj34ATpp1IdOXNM+L7zwQsIyggdwqQ2uR0xhXcW6iJD163EzRyj4pITh42PN4QUdsdy2bVsnuMJlsO4xWOB/CPjgVeGt474MrtJYZYP7Mh0hVuhU1+jxy4hRrM24uvv1DGJg6R0/frxbZhAIy7nfB6GJ4EJA+nUIIKxh/hxR58byihUSyy3L3vKIxTNYv3T3idAQ3GRvvfXWUtfjr4nEkcF+iBU62IaIaoSevy+IfYQ/g1rJzst9x2rtl3lmsEAi8oLlEPEIWARo1PU8++yzTtym6mcIOn8vo45B6AdtEO6v3p3ee1L4/0h8GTxHEMd4ALB8zz33uB9/v52yPOvhPp/uQ99D4AXXMeBHu6e6r5neB7wY8GzwnhxRx2IAjoGRoPdSsnPTt+njvn58OC+DTcF+4venTRHqPAcMUkSdn99qBl8ybTN+Kx588EEnJKN+M1mPAA6uYyCB328fjsLvCeu5p3hj0AcYqDj22GNdOX7TSYTKbxV/85wzkOiPx/HpZ/5ZxsOAvkd9GBQhNId2QfD6PkHohC9DGEKy6+N3Cm8cBnaC60eNGpWwjEcT3iX87vA7gueT78MMKgbrxzMXPjeDPAx88aENsLgH7x33mfZg0AXvI7yJgudnHeE0/KZm0+eDn2T/D1bGZ1WfTx99VsVH/VqfXPxURr/+9/8dk/RTurxJ2JZq+b9P1bddJp8aJeixHiCgfvvtN7eMCEIM8CIGWGqJtcwGhMBjjz3mXC0A6xCWqaB1uiJxsa0lhVXy8TG0ZeHLL790Ami77bYrtQ13dIQp7ehBYHo39ShGjBjhRA8CBjdjXM7DybSwkOI+irsxx0M4h2EwAUs41lX6BwM8ZQUre1SCRAgnSUSkrrfees6Cj3BBVGYDL+p4QWDhR/xzHKzMvFB7aA8syj42HE8GhEQQrMtBcZfpNeH6hLgJgls8oheRw/1hcCMdDIYhPHzcetgiS2gBwtIL9Uz6GWW9u3BZ4TiIGW+RxnpPeAeu5+EkYPSfKHDxpl8Tq57tucvqNZTuPjD4gNji2UjlsYG1FK+PTKCPQLCf8J8ky+F+j/DGFZ/BHD9IEwVeK4jVTPn555/dYGqy0AYs/niWeLBs8wziyYHHDs8G4UEIW9qL9fRzBlfIO0G78ewwkMbvOwMVCORgOxK+E2wz/j9hwAk4B79F/L6QgwPvA2DgwpdJBefhvjGIwFSphKyEQWz7sBU8dRhQYCCBQRMfFhGsH7954XMTekIZPrTBa6+9lrAdrxwGNKgLA6n8DgXh/1OelWzunRBCCFHzsSbXqTaCHqsFbqRYa0iahEWHF17vJoq1MhgPzwsclhsvLNkvHBuI1QVRxIsUYoqXcV6IMx3tyJYSW2S+nnlXlXw4d1mgTbF03XXXXZEuu7wA8qKM6MaajggigRX3KBm8EGPpAlyruXdYeIPgZksSJ8QJrtCch/vEsT0s8+KKoKSOWKM7depU6liZQB2iEiT6beGBBAYYiFNGfPp45kzByoobLqKRz3vvvVdqUIAXdoQ+lj1cgREnJCELi7uTTz65Qq6Ja8E6xzPDwA0COB20NxZeLItYTHEb9zBIg0AICrFUMOCE2OEYCLiygliiPekPHgb9eKa9ezjiid8P8LHlYQj3wOMAAZgpDMLwadmyZZnrn+w+8GzRH/AkSPb7RCLASy65xIm/ykgOSjgS3jS0Xyrw4CCEBBf6TMDDBlLlLglCH2HwyId88NuNNxDhDkF4NvFS8J4eDN4wQAb8PmGh9udOhQ//YLCJ/4fI8ZANDMwhrhHR/H/DwAW5LBgc8PD7ireXPxdhITzbDIhlmvAmHYQi+QEi2iHqOmjTcBiaEEIIIWo21UbQA/HFiAdehLCaIN48WE+C8Zy4OSL2eGlBLJA0C1fyMFhE2BerBB4AwXhsYdxLJVZ0H9sdBdZZXEARccTTpxKZCB5EoI/Fx9WYl3Fv9QpC1naynmPB40WYe8+LqPeo8JY0XEwRG5wbgUZdcTfPBl78oxIk+m3JXpD54B2QKYghLIrkD/DxPVj6SCZGzL2Hv2kboBzWNCxsDAB4cYf4SzX4lO01MXiCkOX4JDoDBIV3a2ZQLAoECkKSQRgGdBCWeMvcfvvtGbcL14fXA5bTsoKIZKCI3AEkPPRgbWawDo8C+h39yicjC8Y1exhIwoIfjg9Ph5+mrrxx0VH3gVwE9PVkiQqBa+L3DNfsykg4iiClPzBYQkhAMvzAH30hE7wwD3vpcM/odzwHPkcC95jBNO5RcAYIvC/CiWGC7cC1BJf94EEmUwvineRhANnPbJINzOaA1Z26034MLuClxG8bMFCJZ4N3jwd+FzkXngcVQfA6GDyIug7uXab3TQghhMhti7w1uULNyeRWA8iL1TE9Wg+qsnNnC0KVF2HERSqwWiE2vHto0PIUBkuVn0rJw8s4VlUsk946i0D3ruQbb7yxi7fH4sa5OD4u1ZRHDCCAcFNmIAGXYFyeGVxAKGcK+0QlSPTbvNdHOHM3brTZeATgxkyMtBcoHpZx36f+UfCyD2THZ38GNYiV9jBwhXWadsVNHOtysmvC+uetyOFrYoCA9p4wYUK8D4QHLDh/OG6HduBYhMRg9WRgxVsb/XnxsGGQjboFXdkZiMHjAC+EskIOB/oECd2i3M2Jf/aJAIHBIQgnvMNzAksvg0TZZuv2wjTo2p8p6e4DzwdCyz83vm+yjNWVejOIxaCFH7jEAk05QjboCz7rf7LkoMHBTJajQgeI02ZQinbmmSMmO4y//kw9FfBGQWAiahG+HgZf6C/0G2LHg5AgM7wuDB4iqZYhk1Ck4H4I7mzDl4K/ZeRToO4MPPHMk0uD68+E8LmTeZckI3z9UdfBvSuPh4kQQgghqh/VykJf0+GFLD+vbpV8gpafTMASRzIxXEEBoRBMIBhlpccLAqGWykKJyy7ihBd1/2EZkUjMqAcxHn7h9C++3m2UF2MvzIKWNyyJmcSAB8FahmUZTwMPx8Y67q2ixOkyiBAEl+ig5Ssd1M3vFz6Ot4jiwRB2H/Yx31ixsYhTz2Ab4rLvY2cRzP6a8D4JtiPXFEz6GJXJPt014RofFt/+etiPUAiEaLB+CBos4/wdFPP0B4Q2955+Q0w38ePZQN9hRgU+fhABUestjYjlcFwwoQwkBwuKWOrGwBFhN1hi2T/KqycZ3D/2C+cnyIR09wHvIa7Bt6cfZOFvxDzgzcJ1+TK0N+1O8jZiyaOgbyPMg8822e2xlidLDoqFmTAGQk+oVxiuH4GeaeZV7jsZ+ekL6dzLaV+eAW/Z9hCWwoBYdQTPFj8A4+G+8hvlf6cI7WCwLgjLtKP3NuHag14I/jchSHCQjZCJbEU/9y6cd0MIIYSoDqwoXmymLRltCksyC+nLFFuOPGM1BQn6WggWU1y+SdSGIEQEInIQmsnAskayKl7MU70s8sHyGIRlsmwH3e55GSXJk3/I+CY2mJdb4k89lAnG6iIGsVSTHyEbEDa4z/v4Y45JAiksksGXZMSMrxOileSMxMhmI+gZGMCFGqsy0LYcC0EKWN+5Li8MqQveD1has5kT3WfE9smzcNfHIoi7v4fzBkUZ9x2x5JNNJoNYbu8ijUWeduG6/IBFJiBEEaa452OdpZ8xZzYZyzMFAUhdEUbE9HMMPiQ58+7UuBaThNCHauDuTPsHXepJREaOAvIbMKjAMahHsG2oW3hqyjDEvfvEndlQ1vuQLYhArMT+XFhtuQfcT/8c4U7Ps5AsfwB9igEnkoeSlyQ8WML1B3NoYPVln1RJKwnXYDCOJI/B55lnwGew99BfSMLpE2XiMcBATDb5DlY1xP0H54DH64C+y3R2wCAc/dQ/q/zN7yn3xv/+MGhHG/rwiKiEfAzO+IEsBs6iEvAlg/rh3p8q/4kQQghRVfw09wUzdfEo89uCERmVLyxeZn6c+7yZvexfb8fsyc4YWq2xIiULFy5E3bnvMMuXL7cTJkxw3zWFRYsW2by8PHdN4c/w4cNdmfvvv9926dLFtm7d2h544IGRxzn11FNtu3btbP369W2fPn3spEmTbOfOnW3btm3tkCFDEsqyzPpYLObKrlixwp1rr732sttss41bt/XWW9tDDjnEHcczcuRIe8wxx9itttrK7rjjjrZXr152hx12sCNGjEh7nRxz4MCBCevmzZtnjzzySNujRw/btWtXe9VVV9mSkpL49nfeecfVie29e/d2ZYYNG2aLioriZag7x6Z9aDPqT72DzJkzx55wwgm2W7durs58P/bYY/Htc+fOtRdffLE7D8fq3r27PeWUU9x+YagTZZo3b+7uB3+PGzcuvv3HH390bUJ9Oc5LL72UsP8dd9xht912W7vddtu5b+rz5ptvpmy7n376yQ4YMMBuueWWdvvtt3ftcPrpp7t6h+E+Uif6Af2Bv2fMmOG2rbHGGpH97Morr4zvP2XKFLdPx44d3Tb+HjRoUHw7dY06Bp/Jkye7MkuWLLF77LGH3XDDDd3+O+20k/3ggw8S6kkfijpG//79E9qK/VPx4IMPRpbhOaEvcEz6BmWC/Sab+xBuj6FDhyZsp31ZH3z+HnroIdeXac/VV1/dvvLKK/HyrL/66qvd/eQ5O+qoo+z8+fOTPsscA/hdo2/R9/xzC6zzvxXwww8/2MaNG7v7kIply5bZa665Jv7M01/pW6eddlpCnwaeu0033dT1a8oGn3nf32ijp556ypWl/tSzX79+rv/6e8E3x2Y9zw+f448/3q0LlmGfiy66KF7mnHPOsR9++GFCmc8++yzyul577TV78MEHu7albj179nT9cfTo0QnlWOZ5oi926tTJXn755ba4uDi+nfY+7LDD3HXvt99+9umnny517okTJ9rNN9/ctQvXFNUezz77rPubdTvvvHP8+B999JFt3769LQur+v862oV+HmwfIWo66tciFylPv1688h+7dOV/776jpt/iPl9Ov91Omvd6fDnqA7/Nfy9y27LCuQnLnCOq3J8Lo/9fryk6NEiMf6p6UKE6gyWFmGSsgWHrHRZYYqaZnixT91NROWAlnDVrVtyCTKItLMoko/PQ1bFS4QKcbYiCyG2wepK/wc9jnqqfkXUdT4+oaR6rglXZr7GmE35DAjjOx7mx4pPDACu8qJ5wn/AWwFMgmMcgU1b1/3V4N/B7TkhUZc1KI8SqRv1a5CJl7de41X8z8z7397Zt/k2Y/OWMW913zOSb1Rp0MPMKkntEtmnczcxYGu0ZuMUaR5nxc/7zCu6yxrHm+zmPlyq3duOtTbtmvU1N1aFB9IsicgJcjX2WdlyviRP2U1gJkUn/YfAnlZgHEumRDwDxyn9gtQmulwSaxLP7PBqEZZDcLjznuahe0LfJfVEWMS+EEEJURrx8eUgm5uGfpd+b2oay3IucgNErxBaJ0EiSxtz2UdnQhYiC+OxMY7SxUpIXgX5WmyApINcdzNZPbgMs9qJ6w3SHq6++elVXQwghhMiQsnscltjsZyOq6UjQi5yA+caznZteiLKCqA1PcZjrZDuzhKg+SMwLIYSoPcRMbUMu90IIIYQQQgghqgkVmeLNmlxHgl4IIYQQQgghxCpH+dnLjwS9EEIIIYQQQogq598ZezJ0m7extAb42jBcIEEvhBBCCCGEEKIKCEvuzMX8Bgt6mvYLtzK1HSXFE0IIIYQQQghRY6hX3NDULalv6pr6CetjSoonhBAiHbNnzzaFhbVrWpTp06crzi1LZs2aZYqKiqq6GkIIIURuY02tRoK+FvL888+b3Xff3eyyyy5m6623Noceeqj5888/49tvuukm07VrVxfDcvLJJyc9Tq9evUyDBg3MjjvuaCZMmJCwjRf/ddddN+n+S5cuNeeff77p0aOH279nz55mt912M3feeWdCufvvv9/NLU+ZHXbYwZVjP/aP4vPPP3dlW7RoYdZaay1z0EEHxbctXLjQDBgwwB2vW7du5uqrr04QKJ988olp37692z/4+euvvxLOwfzjF110kalTp05CuwEv7w899JDZaaedzM4772y6d+9uTjjhBDNnzpxSxzjzzDPNVltt5cqcccYZpeY1RzBeddVVZvvttzfbbbed2XDDDc2NN94Y3/7pp5+666OOlNliiy3M7bffXqpNxo4da/bcc09Xp44dO7rvcL2DTJo0yZx44omuvTku7fXKK68klKHd7r77bnc/qBv9aMSIEUmPed5557n+FD4vgqd///7uGFtuuaU57LDD3Log3MvwPXn99dcjz/Pdd9+ZunXrunaL6hvUt0+fPu77s88+M2Xhiy++MEcffXTGfQKGDx/u+sOuu+7qzr3tttua9957L/L4JSUlrs3pi2HGjRvnnl3uDfebcxYXF6esL/2+X79+7lkL93vqHfW8MGBBHfLz81170a6//fabOeCAA5I+e+mYOnWq61f0KX8P+O157rnnTEFBgbtnm2yySfwe+zr5ZbZR5n//+5/7m/7E+q+//jp+jmXLlpkrr7zSta//XaF/perv2bR/tsyfP9/stdde5p9//in3sYQQQohcxFa6GrcpYvVzBCtSsnDhQnqB+w6zfPlyO2HCBPddk6hbt65999133d/FxcW2X79+tmPHjragoCBe5uOPP3blGjRoYGfNmlXqGKNGjXLb27VrF3mOTz75xObn59uWLVvalStXlto+YMAA27dv3/g5S0pK7JAhQ+wGG2wQL/Poo4/aNm3a2BkzZsTXffTRR7ZOnTp26tSpKa+xT58+tn///gnr9t13Xztw4EB3rqVLl9pOnTrZYcOGJVzzlVdemfK4kydPtj179rTHHnus6xcsB6FetNn333/vlrm+nXfe2dUnyODBg931FxUVuc+uu+7q1gU54YQT7CmnnOLqCw8//LDbx3PyySfbq6++Or783Xff2by8PPvGG2/E102cONGuu+66rp8C173JJpvYL7/8Muk1Hn/88a5PUC9477333HFpe88dd9xh11prLTt9+vR4f+C6f/zxx1LHGzdunF1jjTVKtRd9r0ePHu4++Wvkenv37p2wf7jtksHxevXqZRs3blzqPv7555+2WbNm9tNPP433T5ZZnw1z5syx66+/vp02bVrGfQJo85EjRya0X/369e3s2bNLlWVbixYtSj1bnJM6P/LII255yZIltlu3bvaSSy5xz5hvwzD0e/oSRPX7qOdl8eLFrk8+88wzCeVuvvlmd4+yhf639tpr2+eeey6+jjpTd9rMP3vDhw9PWie2+fvK3+H/vvgd3mabbey5556b8Jvz9NNPu74a1TejSNb+ZeXFF1+0e+65p63JrOr/63iW+d3nW4hcQf1a5CJl7deLV860o6bf4j7FJf++b/rlr2bcaSfNeyO+nOzzzV/32Xnjx7rPqL//W//LvLcTyi1ZOSty/ymLPrc1WYcGkYW+FrL//vubvn37ur/z8vKcdfjnn392ltwgWJawON51112ljnHrrbc6a2oynn76aXPhhReaefPmmXfffbfU9tdee83st99+pn79+vFRsnPOOce0a9cuoUzv3r2dlc6DdXnfffd19cqGH374wbzxxhvm7LPPdsuNGjUyp512mrn++uvTWjiDLFmyxDzxxBPmuOOOi9xer149M3DgQNO5c2e3zPWdeuqpZuTIkWbGjBlu3dy5c819993n6oIFlA9/s472gvHjx5snn3zS3HDDDfERRKzCWCc93Dd/PdClSxdn1cSS6rnsssvMMcccYzbddNP4deOhgYUzGVgmzz33XFcvwHOC/Z999tl4Gazz3P82bdq4ZSyinP+WW24pZe08/fTTndU0DJZVPngq+GvkbyzpZbGeUycs12ussUapbXgubLbZZs46DFiI8Va44447sjoH3iv0wbZt22bcJ+DRRx91dfNgPV6xYoWZNm1aQrm///7bPPzww+akk04qdQzOwfOKlwk0btzYWby5tuXLl6fs93hIZNrvsejvs88+7r4dccQRCdvoyzzbv/76q8mGY4891lnjg78ZeFJce+21zjPDtwmeQclgG2WSgfUejwPuEcf2HHnkke7c1CEdqdq/rOD1QHt98MEHFXZMIYQQIneJVfA+1uQ6EvS1kBdeeCFhGbd5QGAEQRwef/zx5p577kkQDH/88YcTA7iAR4GrOIKMF2yEDwIgSvjyghsUFQ0bNjQffvhhQhkEH26rQV5++eUEkZ8JHLdJkyZOxHlwE8e1GNGTKZtvvnnS64ZWrVo5YZmqfXGVp41wtw/WhXUIf8DFHYHcrFmzeBkGB3Cb9iBQmzZtGhfODz74oCuDeAHEzZtvvpkgJAFXbe5tMhgE4Nzhawj2D8IQWrdunVAGcc+1BWEwCBFNu4XxoQzB4/gBgvBxMhFihDpcccUVSe9/sL19m2crsl566SUXqpJNnwBcuD24rCPCGRjgXgRhkAaxzbMQ1V5rrrlmgosY7cXxcMWviH7PYBNi/uKLL3bu9WEYEOBaaIdMGTNmjPnmm2+csI6C+0ZfLo+gJ9SFAbHDDz880oXuqKOOcgOWQff8KFK1P+3Cc3PBBReYU045xbUDbfn777+731TCWugHjz/+eMJ+1Id7/eKLL6Y8txBCCFE7qWDBHcshV/oMkaCvQIhLtSVV9ClHsqovv/zSrL322i6OOcxZZ53lBPVjjz2WYJ1nfTKIpUb0YCXjBZt453DcLRYwRCuWbI4XjlMHBhOwYCJGiBUOexBkA4MQYQHqBwUmT56c0BZ4L+AZgAfBRx99VOZzBo/Ji7+PyaUueBisvvrq8TIINSzivi4//vijqx8WeqzJ3BvEanjQBYYMGeKE3W233ebisr31GEs95bH6H3jggS7nAdc0evTorOq/aNEi89NPPyVYV7mW8D1DVActzt7amUxk+/YIHod9IHgc4o/pRwxMEIOOcGMAI1Mhlur+B+99OsiDQJuuv/76pqwgkhn0IU8A/d97QQCWdPrFHnvskbS98PIIJuOLaq+y9HuYOXOm88q55ppr4h48UWywwQZm1KhRJlN8f/NeImGI66dNygMeRngWJDuHX8/AQjLStT+DYwwqMJhBG3FdG2+8sctPQH9855133AAWng14bZSnzYQQQojcJrluKa8cj2V8ptxBgr4iscaU/Da3Sj5l7a0IPlxUeRENuqkGRcTBBx/sRDcvrYh7xKZ3XY4CizwWMcAqR6KqV199NaEMruMkCuMFGld7zoNrN8f2sEyiOl74qSPJ4zp16lTqWJlAHbx7v8cvsw2aN2/u6oElDbfvQYMGuZd7XuTLCiIQURsMW+B8eB+EYZ2vC+389ttvu4EQ2gCxQT1w54+yqCN6EbWIf9z1/TH8dsQ+ggL3X+5dOIlhKm6++WaXiA2x5+FcJDPzx3nrrbfM999/n+BxMXjwYDN06FBn1Y2CQQ6Sll133XWuH2JlxQWbfhg8DlZPymC1J0kigxyEc3gYMEIYYyHN9v779s4EBC+0bNnSlBX6Ln2CY3Cv/PkRgJdccom7T8kguRsu99wPwMqOVwYkc5/PpN8HrfnffvutWbx4ccprwErt2yITENqAp0BlsWDBgpTn8OvD3j6eTNrfg7WdAThgoI2BRn4jgWeLYwXDXsrSZkIIIURtofKT4uU+EvS1HLLQY/3EgpsM4ql/+eUXJ5ywjqbKfI8ARVASUw24OSPIotzuiQVGBGJdu/zyy531DCssbr8eLOXE4CNYOTfChbpmazlHVIat237ZC05ieRGM3o0dEUu+AURpWUCgMqCBBT3oKs/5whntgXW+LghUXHUvvfRS940AJA6adkTIhfEzEhAb7+PsvfUXC6LPTUCbM2hBGAXgaeGziEd5Xbz//vvuvofdiHE5HjZsmLNGco+wTrL/aqut5razD4M1wUGAqDozaMFsCJyf9mYAhbr64wADGVg4gW/agQEmwkAQT7RRVHb/TO5/ssGGVMI02/wNYfAiYDYHZhNgUAvo/7SpDzmIAks73h6Ibp4v7iX7QbC9su33HjwwGBTh94ABrWQw4JJMGEfhwzvKmh2/Is7hLebJBmMyaX9PsAxtiLj3fYK8BsG+UtY2E0IIIUTmxFJtrAVT7pbvzVQkEjMmb8PVq+zc2YIbOy+kuI+mAjGKaMMyCqkSlpHIDgtfMNYVF2FcwbFM+oRlCHTv+ovbKlNpEaPKuTg+rsmU50Wdl2VemhGsJHjD5RnByDRgmcI+YQuZn0oqlQs1ArIsCdrwZsCiios409aF64LYZ+DCu90j0hms8HVZZ5113LagddWLcqbgoj0YAAhb+hH0X331VfwYEEzg5o/j3a1TWSSJfWaKQMQ63gth8BYIegzg0eBjwrHYU0/fD7wFlSRrxOMj0rGaIkSDOQcIHSFpWzi2PHxPaKspU6a4qdD4OxifzX0lCR2eDdTpkEMOSXr/s3Gf96Ix2/nnuSbud9ADhkEj7ov3cGCACqHu81vQdtSP9mNAjDhzINY8GIvtXcijchRk2+95zkiYiLs9iSfxiIi6D1x/Nl4KPn8A1xrMJVCREJZDvomJEye6uodhPeAREkWm7Q/BMImoZQiHQGXbZkIIIUStwYZ1TFmT4tnILYUlmXtj1lRkoa9AsDjG8qrok2UCCOKNEUPeFZyXWT6prPQIRcRRKgvlM88848Q7Ysp/WEbQIBY8iPHwS69P3OXdY7HEhmNesYAhhLJ13yWmHysdngYejk3srs9Ij7gNxxUTo7zeeuuZbMFyzX7eNZzka8QzA14IiLtge1MX1vkEdrhjI/iD4tELM18fQhDCEGNNPgQv6BFtPrt+8DjpromYeXIYEOftLZIPPPBAfDsuxeG4bQQg/QPwdCABme8DfuCATPks+/vH30FI7oZA95Z93MDDc85zT+jvXB9hGQjFYH9joAjrNX/7+nD/w/2bNmfAJVP8AJSfiSBTGHgIe8BwjQzi+HuFpwrt56+B+nM+/vZikgGccBw2+yCS/eBNWfp92HuA8A4GfRD2UfO3c/3huPxU4KWDkCZEIwzzzzM4VZ6wFuA3CQt78DcmCP2OHBI+o36YTNq/PGTbZkIIIURuE9QtlWtBnzQ/+1DdmoYEfS0E13WmRCPGmfhPXvB5ifex11GQTA1BxzRZqV5a+WBxD8Iy8dJBt3vid2+88ca4qOcb0YeQCFrRKBPMsI8wxlWZWPBsQLxgufPCkmPee++9TnATlwzfffedsxb7OpEFnARYWIyz9XygjsTV0rZ8EBo++RuWd8QHdcGSz4e/WeeteGSqR6RRRy/mcJPnmF4Y4AnhXeeBDPkMngSt5tSF6c68uy8CGWtlqrAJBh723ntvN6DCoIK/huD9IxY8mOwO13FEdlSMfyqwoPuM9og7sqszxZ1vBwadyJ/g473pX7jXMwVZNoM6TIfHIMUXX3zhlvG64B7xDHiIR48SuR7qhAdEOD46E3x8usdPG4d7ezbJCQkB8SEpDKjguk/7eBDGDNZMnz49od8THpGs34fBG4MwF8Q9YRDhEA+uP5hDg7CM4GwMUfB7g2dB0LsA93h+T/DKob+VF7x88Fjh2hhA9PDs8RwHE3uuasJtJoQQQghRUcjlvpaBCMR6jIj0ce4eH8+LcEco4nKKcGaaOF7+g2IekUv8s3dLxSJLDC5ig8RmxDV7WEZg8KEsopMp7XBvxQKMCzaCDTFPhnwv1BCHiCys1qxD1GKJQ0ySKC8dYVdYXui5dgYMOBbiODiPO4KaedQJL+B6EZgIfD/vN7AfIifoQk4MuHfVRTT60AQGMYL4RIGACMOd3ZfBehgUZrQJbUF9EUOIZSyxtKWHRHG0D9upL7HRJOALup9zzxCCtLsXXYi1VNODIYiwKhMyEASvAQ+u2AwUYPHEfbxDhw5usCUq2R9thHj2f9P+fmAFKzDzt+N1QZ9kOyI/aGFm0IlEZLQJ1mbEn48dD4KbPZ+gyz2WWSyt9C3ELp4m1JG2YtmHMQB1TNev6DNcJ6EfmfYJzu9jtBHJnJs2QwiHp7uj7uwfdPmm//FhX2/tpr2451iP6a9ewFIXRHswSR75D2hT+k+43/u6M5jlB8r8tJDUj6Rv9FE8JvhN4PeDUIyg1TqTdiNMgvh/BmvIf4A3CvXkXjINXNjDiOv2dSIUJ2jBJ0eEH1yiHIN+DArQPxg4YZnfDH+fSaSJd1E49CSKVO3PeurENp4l2oiBGcrRhvQ1P9BIPgm2kROCfv3xxx+bRx55JO35hRBCiNpBZVrlY6a2EbPlme+sFoAYwmJFkqOwFQrBh4s2YsbPNS6qBlzTmQrMv7QjfHjJRvSGY5kZFMg2REHkNgxgMMCFiEUAJoPfAQQugy0899WBVdmvSfCIt4e3+PM3YhqrfzbhC7UJBtwYuMRLoKayqv+vYxCE33NCQ5J5kghR01C/FrlIWfv1ksKZZvycfwfne7Q+3eTn1TNfzrjVLdfJa2Ca1VvXzCv4NeUx6hU1Musv/Dfp9M8tPzU29u+Uxms27GRmL/8pbR3aNulh1mtaesrumqJDg+gXReQExFVjQQO8BHAr9/HoQqTj999/d1bfVGIe+FHFEnvqqadGzlSQy/hwjeAgGc8dyxLz0eCxg8t/MP+EEEIIISpg2rpyJtKrn586XLAmIZd7kRMgtHDj9W7FzG2Pu6sQmZDNjAm4lyPSapuFhTCNp556KmEd2fWTZdgXxiU9ZOYPeQQJIYQQySgt6GNZCvRYlk78LRtsaFo1TG3EqUlI0IucgOnPsp2bXoiyki4JXC7ip1gU2f0uCSGEECIbYmW32mcIrvaxWO4YZnLnSoQQQgghhBBCVAlFJQVm7vJfTLH9b9rlSJTBrUKRoBdCCCGEEEIIUS4mzX/d/LLgLTNl0b9TEq8ybLY75FYonAR9BaCJAoQQQuQq+j9OCCFEJixe+bf7nr18Ysb7lHavz1Rs25wV6NkiQV8OSMIGzKEuhBBC5CJ+Rof8/PyqrooQQohaQLZJ8bIntwYAlBSvHPBy06JFCzf/IjRq1EjZjKsxmode5CLq16Ky5xiePXu2+/+NPiaEEEJUKFXgBRYzuYX+dy4na621lvv2ol5Ub+HDyynTjUn4iFxB/VpUNvSt9dZbT/1LCCFEtcGWy7ofM7mEBH054QWnTZs2plWrVqawME1GR1GlIHrmzp3rpt+qbXOIi9xF/VpUNvXq1VPfEkIIUSFYW2LmFEwqt9SO1Q6tnhES9BXofq/4wuoNwoe8Bw0aNNDLqcgZ1K+FEEIIUVOYuWy8mbF0bHy5yK4wdU2j6MIWfZ5nbKykimPuqzd6+xNCCCGEEEIIUeksXDk1YfmHOU8nzXzfdkkn03HeDqZOSb2IMkmw6euQayFkEvRCCCGEEEIIISp9itO8WKJHc4n9dyYVT2HJMjOv4Ff3d9OVa7rv5gVrZ14PU/umWpXLvRBCCCGEEEKIMrG8aL6ZMP+FjMrGTMWEKJfPxh4zuYQs9EIIIYQQQgghysSUxZ+aopLlZbLQZ4ZNI8pjacrmNhL0QgghhBBCCCHKRDZJ6fJile0gbk1tQ4JeCCGEEEIIIUSlUyaX+1hq3R5LWJ1e0OdaVnwJeiGEEEIIIYQQZSQbC30lT/NtTa1Dgl4IIYQQQgghRJnIZhq4slnHM1fpthYqegl6IYQQQgghhBDVkrQS3WY7SCCXeyGEEEIIIYQQYhUI5P8kfV6sbsZlkyNBL4QQQgghhBBCVBHRotxmlBQvt5CgF0IIIYQQQghRJlZt1vh/BXvyM1pT25CgF0IIIYQQQghRRladoLe2AgR7LLds9BL0QgghhBBCCCEqHVvJHgK2IgR/DUOCXgghhBBCCCFEtXS5z24qOmtqGxL0QgghhBBCCCHKRlZ63taymP/KR4JeCCGEEEIIIUQZidWoLPe5hgS9EEIIIYQQQogaIPDTCXZrahsS9EIIIYQQQgghqsSFPX0iu3TbY4GSmQh6udwLIYQQQgghhBCrdtq6CjhGTIJeCCGEEEIIIYSoCCowi72Vy70QQgghhBBCCLFKLN6LVv6d7gRx8mJ1w6tM8G8lxRNCCCGEEEIIITIllrmgjxLcE+a9mGaf/6if3zSrqiVgYya/hAEBudwLIYQQQgghhBCVg41eWLdpr///K7mNPhntFnUzG83fzpjCYpNLSNALIYQQQgghhFgFlM8lvlm9tqZ7q5OSHtKmOH7Dov+37i9eaXIJCXohhBBCCCGEEGUiVimSMrlbfL38xpV27JqIBL0QQgghhBBCiAohVoXHsMpyL4QQQgghhBBCVCVp4uJteeR/zOQSEvRCCCGEEEIIUQ2ZXzDZjJ/zjFlWONfk6rR12Z7LFhab9ou6JylRYmobEvRCCCGEEEIIUQ2ZNP9Vs6TwH/PrgrdNbSLVIIGdsyxUtnYjQS+EEEIIIYQQ1ZjCkgJTfakESZ2QuT68LXmcvM0gi36uDQBI0AshhBBCCCFENSYWi+VE3TJPWlfmtHimtiFBL4QQQgghhBBiFWArZJ8mddcydWIN/n+p+g52rAok6IUQQgghhBCiGrMqE89lT2yVX29erK6pGzEfvU3jAdCwzuo5NwAgQS+EEEIIIYQQ1ZpYTgw2ZBLjXj5syq118xqZXEOCXgghhBBCCCGqNdVX0GdHeWPoYykHEvKL69S6MHoJeiGEEEIIIYTIIZf7pYVzTEHRQlNTiWUh7mP/v9SwsLlZd+4WZt3FXUxtQoJeCCGEEEIIIXKElcVLzQ9znjDjZj+ySs4Xy1BSWltiZiwdG7mt8crVzBrLOvxnXbextAMb/2XXj7l/Vyto+++xClcztYk6VV0BIYQQQgghhBDlnxpu2pKvzbTFX5nqyNKi2Um3eav6yvxlZlH9mQnbYjkfhlA+ZKEXQgghhBBCiGpNZuJ16uIvjDXFCVbxSieLeejTUbe4QcYhBjGTXyrhXoktNLUNCXohhBBCCCGEqEEQHz9tyWhTVFKQslxJQNzXXKLFfV4s3+TF6qUrlvNUK0H/yiuvmK233tpsv/32pk+fPuann34qV/kpU6aYgw8+2JXZYYcdzG677WbGjx9fyVchhBBCCCGEEBVH2GI9fu4zZuriUeaPhR+l3M/aGiboY9mp8/r5TWpdVvtqG0P/9ddfm/79+5tvv/3WbLTRRubxxx83ffv2NRMnTjRNmzYtU/ljjjnGtG7d2owePdrk5eWZ22+/3ey1117mt99+M/Xr16+CqxRCCCGEEEKI8lFUstx9L1z5V8pyJbao2mXgr4wa/EvtVPbVxkJ//fXXm7333tuJcy/Gi4qKzKOPPlrm8t99953ZeeednZgHLPTTpk0zEyZMWCXXJIQQQgghhBBVJdtKVomFPlalR4zVajlfjQT9hx9+aLbaaqv4MiK8e/fu5oMPPihzedztX375ZbNs2TK3/NRTT7lya6yxRqVeixBCCCGEEEJUft651DI2mCCvRpEwbV2yv/9dbrtkc7PWko61VtJXC0E/d+5cs2jRIuceH2SttdYykydPLnP5hx9+2LRr1860bdvWfQ8bNswMHTrUrLvuupV4NUIIIYQQQghR9ZSsgiz3mbvcl82Sn26vOiX1TIsVbUxtpVrE0HsLejiunWW/rSzlBwwYYP755x8zdepU07hxY/Piiy+mjZ1fsWKF+3gYOICSkhL3ETUX7p+1VvdR5BTq1yLXUJ8WuYj6tSgr1v73Hew//623kes9xSUrK63f+X797ydQ59h/2yD2/+4FJSXFpeoXhu2uTMBCH1/3/wMUeQknM1F/pjxPTXkWM61jtRD0jRo1ct9BIe2X/bZsyxM//+STT5rPP//cNGnSxK3bb7/9zOqrr27effdd07t378i6YMG/+uqrS62fPXu2KShIPS2EqP4PxcKFC91D7PMqCFHTUb8WuYb6tMhF1K9FWSksXOm+lxctN7NmzSq1vtjYyPWeuXPnmGXl6HP0WS/Ik/Xr4qJFprDkv/NSp5kzZ5ophW+aOrFGZp26u7j1BSXzStXvv2P9q8CLi4tcmfziev+tK/p3HcyeNds0WZpn6v7/YYptkSn5f/VeUlwU3yfqPGxbuXKlWbGo0BQULzHVncWLF9ccQY/Ibt68ubvxQbCur7/++mUq/8svv7jv9u3bx7djncct/6WXXkoq6C+++GJzzjnnJFjocdFfc801TbNmzcp5paIq4UeHHyTupf4zFbmC+rXINdSnRS6ifi3Kyh///DvPeolZbFq1alVqfX5evcj1nnn5X5st1xxYpnMvL5pvJs5/ybRp1N20abxlqe1zl/9m6tkVpm6T5mbR0v/OS50ar2ZMydwlZqVZEq/f0kJjps9NrJ8nL+/fQYP8/Dqmbt16pk6s3n/r6tR162DNVmuavBKMrIVuubCkyBQW/VsuL79OfB9fPnyOevXqmXrNGphmq5c2Glc3GjRoUHMEPZCNninogqNBY8eONZdeemmZyhM3DzNmzIj/XVxc7Eawoqz+QdEf5ZbPj69+gGs+/GeqeylyDfVrkWuoT4tcRP1alIWgcfyXBW+ajqvta6YuGZWwPtinwsb0lSWLTZFdZuoxX3uW/LXkM1NYstT8teRT07Zp94RtK4oXm18XvmUKi1aa9WM7JpyXP/NiefF1vn6xvP/WJb9ePALYP/F4bj/777F4lv7zqI9F/JUqieB/z2J1J9M6Vpsrueiii8xbb73l5oj3Genz8/PdXPOART0o7tOV79Gjh+nUqZNLhOfjD+655x6zfPlyc9BBB1XBFQohhBBCCCFE2Zi/4nezcOVU8/eSr+PrSuxK89fiL8ySwv/c7sMgvsuCNcljuFdm4bLuY+mzI1GRN12xptlofm9jlhWmKGVNbaTaWOgR4Mwhf8QRR5iGDRu6EYkRI0aYpk2buu0kuwvGzKcrX7duXSf4zz//fLPNNtuYOnX+vdTXXnvNTW8nhBBCCCGEEDWJifNeKrUOgc9n2zZnJ9nLVmFm+4qh7ZJO//7x91JjmkQnObemdlJtBD0ceOCB7hMF7vTZlAemqnv++ecrtI5CCCGEEEIIUVMoLFleyWeIktIJOeezn7IukOU+9eBBzNR2qo3LvRBCCCGEEEKIiuXn+a+bOct/zspFfsnKf0xxSaJ7eyKBaeXS2MbTbU8sGz568vNmsymXqVYWeiGEEEIIIYQQFcufi0aaNRp2zKjsnIKfzW8L3kldKFaBzu6Ru9dSdV4GZKEXQgghhBBCiBwmL5a5HXf28gkZlEploY9lnFwvM3UfSnmf1b65jwS9EEIIIYQQQlQzZi3LRFhnlk0+L5ZfATVKeuI029MdoLRKD8bNy1afGgl6IYQQQgghhKhm/L5wRFblZywbl3RbLItI60wy2MeyipFPvT27s2W/d64jQS+EEEIIIYQQNZwpi0ZWkIU+W5GcaVI8m8X5JNQzRUnxhBBCCCGEEKKaYG2JWbhyapXF0GdG5lnuKTFr2U+moHhB2mPF14Rnvct4z7LPlFdTkaAXQgghhBBCiGrCP8u+N38u+qRCj1nxMfSJTvepKCheaH5f+F7yI0Xs3qCoefbVSEOdvIYmF5HLvRBCCCGEEEJUE+Ysn1Thx4yZ8gn6lcXLUnoUlFoXEPkri5ekrV2Q/JK6Zs3l7ZNuz4xYqTUN67Q0uYgEvRBCCCGEEEJUE7Kb5i1zl/tUWfDT8e2s+53bfFkkdoktzioJX52S+lnXL0y4fnXzmphYjkrf3LwqIYQQQgghhKiBRFm8ywui+Yc5T5mf57+RUVlPvaJGpk7xvwI7MQwgXQz9f+usLSpzvRPPlHrragVtM94rl5CgF0IIIYQQQohqQvokc9mzpHCmWVY028wr+C3jfXB9X39hD7Phgm3dciyWl7FHQfAaSkxqCz3iu3HdteJ/i+yQoBdCCCGEEEKIHLbQB0V3psdvUNQkhXQMDDpEuPKvLF4c/7skjYU+lsL9PqpEJsRq0cCABL0QQgghhBBCVBJzl/9iFq2cXqUx9DYQx55KYCP2lxfNc3/n2TpJRXLirHKlBf2vC94JnC+dhT4g0yvKOcGmXZEzSNALIYQQQgghRCWwrHCu+WXBW+anuc9VqaAPur2nEvS/L/wgPl98KUGfhct9wvaMYuhjge8U1vWUhvdYpgVzCgl6IYQQQgghhKgEVhQvynqf8mSjT0ZRyfKMYtpnL/8vk32ezU/hxp55HaPOlxermxCrD/Xzm7szrNv035h9kRkS9EIIIYQQQghRGcSytxRXiIXeGtOocDWTV5JoZc8kpt2TV0oqJhH0aQYggu7+nrUadYn/3WHh1u67fn4z077ZjmaNBh1DZ82+DWO1yEJf+g4LIYQQQgghhCg3ZZOVmQn65vXbmYUrpkRua7FibbPW0o1dfPuKOkvMvAbTzKL6MzOOaY8iOI97uhh6k3Z7LHI5P6/8c9BHoxh6IYQQQgghhBBZ8Z9wLSxeltEemWSh37r1qaUs2UGarWz1/2ePmQZFTc3aSzaNbyuxhRnVIyy6k8XQzy34JUNBv9KY/3e/j4U8Fyo8KZ6pPRZ6CXohhBBCCCGEqGTGz32mwuahr5PXwMRiiTHulT3PfaYx9OGQgcUr/2Y4wxhTYIxZGj9asr2zrVXU37VHzkvQCyGEEEIIIUS1SZCX6TzxqeLEU4r2Ms9zn5lMDnsALC2cFbfM/3ekaJf7SGwZ5LlN3KdOcb3ANpNTKIZeCCGEEEIIISqFsiTFK846pj2746cX9A0Lm5n6RY0Tz/f/bvJLVv5jJs5/pUznjh/LxEydknpmnUWd/YqEGibbqyw0Kmxh2i3qbkxA0+cSEvRCCCGEEEIIUQ1YWexd0tOTLKa9vIIeod1uUbekAwiTF31sikpwny8PMbPm0g1Mg+ImURVMskfq640Fdg16ALQoWNvkMnK5F0IIIYQQQohKITv/7oLihRmXTS1wU8S4p5lmrm5xw6RnhGVFc025iSFE/8sBEBfgNo1dvize9ybHfOxDSNALIYQQQgghRAXiRXM2YhKr968L3s64fDhTfML5U+xXYopNQVHmAwf/nS/PzFr2UxZZ8tORpJYFReEzJ90tlkTh59u6Jmbza0WGPLncCyGEEEIIIUQF8f3sJ82yotlmvaa9TaM6q2e838xl483K4sUZl886hh4hHDPmj4UfmKKS5aZDs53NWo27RBw3WgGz/veF72V3zjTViaJkduZhB3mxOqZefjNXt2DbtV/Y3X1PavmJyXVkoRdCCCGEEEKICgIxD38t/jwrC31hSWbz1GcWQx913n+FOmIepi4ZlezIWa7PnjoF9UyzlWtmeez/H5EI0SC/uamf38zUViTohRBCCCGEEKIC+GfpD1lPQYd7/i/z3zYzlo7N6lzpLPQNQ94BYct7slj6JitXr9AkfFE0m93crBpiuTdPXQgJeiGEEEIIIYSoACYv+jBhOWyhjxLRC1dONXMLfs76XOkEfd28RqZBfov48prLOpi8kvQR1y0L1inT+SqLZCEAme5rTW5T5hj6pUuXmrfeesuMGjXKzJw508yfP9+0bNnStG7d2my//fZmzz33NA0bJsuQKIQQQgghhBC5TknpOeZtfkJCu6K0rvZJrMwpLealRXDLgnVNvq1nZjSZGK9NJvv9t2UVZJcrl/qOVcZBqz1lGma58cYbTatWrczll19ufvnlF9chEfIwceJEc8EFF7jle+65p6LrK4QQQgghhBA1grDL/ZLCf8yYmfeaL2fcan5b8G+CuWK7Ms1RkiWpSy7l8pJsa1iUOtY8lWivSJf75FSs+I7leor7sljojz/+eNOkSRPz888/m3XWiXbHgMmTJ5vrrrvOnHPOOeaWW24pbz2FEEIIIYQQosZQJ69RKZd7YuWL7Qr39+zlP5kNW+xuiktSC/q8WL4piYjFTylWbez/xwESyxTHkk85V2wLjQ15FITPWOOwNbDOWZLVMMv06dPNbrvtZm6//faUYh46dOhgHnzwQdO1a1fnji+EEEIIIYQQtQdbSiCHM9ljwUdIpyIvVjdyOcpi3nmNo91Ubg0br5lB7RL5e8nXKQtXnbW7fDH0Jsdd7rOy0K+99trmiCOOyOoExx57bLZ1EkIIIYQQQogaDdPDlc5ynyguS2yRKSopSHmc/FhdUxRYrpffJKnLfeO6rUyP1qcbO3uZscsLIuRtXtK6LCmcaao9ZdD21uQ2WQdCzJs3z1nov/nmG7f8/fffm4svvrgy6iaEEEIIIYQQNZZ0U9ERP+9d8FMJek+TumuZji32dX/XyaufZay7NbEULujpstindsfPjnp5jVeJIo8xApDjXvdZC/oBAwaYP/74wyXGu/vuu02XLl3MnDlzKqd2QgghhBBCCFFDKShekHI77vYltrjU+ub11nPfLeq3N43r/pt8HLZY40jTqO6/88Tnx6IFfYIIjqUW7XgH+Kn0KtelPvHYsVh+dLGoZP7lOa2Vy30pNtlkEyfm4YEHHnBx8sFpF4QQQgghhBCiJoFrPMI6Py8xXj0V05eONUtWzjAbtdgzqVWcePcSm30iug7Nd3bf9fObObd84uLXbLhpQpkoDYY4T1wfEtIBCz31IuP+Gg03Nes06WHmr/gjq4z9qaE9kpVPox3zYhUcQ5/bZG2hZ875BQv+HWk66aSTzKJFi8xHH31UGXUTQgghhBBCiEpn/Nxnzdcz704bzx5kyqKRZm7BL2ZeCiGMGE+JLSkVu75a/fVNwzqruQ8Z7nGtX7/5zqZpvTaldl+9Qcf43/WKGpmSP+aZkvnLUd/Rp4uwVs9ZPtF8N/ux1PV0Cf0KshLS9fKbZlw+Yd8GdUolAhQVKOiPOuooM27cuPjyueeeay655JJsDyOEEEIIIYQQ1YKlTlRbs2DFX1nvW1zybwy8d11PJLW796zlE8zK4sUJ6xrW+delPhPwDli7cXf391pLO2LyN3b20vj2Uvbpchis08X6h+nU8pCynciSK+C/MIPyEYscxKjVgr5v375mp512Slg3cODAUuUef/zx8tVMCCGEEEIIIVYhWMTLSlmSxs1c9n2pddmEM1N2nabbmnZNt090yY/QsHXz/s2OXzZixkbE+ifDmmLToE4LUyevQdqyebF6pfb+d+QhUaqWRZbHaoHLfdYx9GGmTJniMt0vXLgwYVTq+uuv15R1QgghhBBCiGpNMCkdseplF/IVYwn2ietscYmLJ08n8MmCv3aTrUzJ/AXGJkxwl4gT1+WoYolJI+i9Ds/Sflw3r1HgGDaijv8dNHVLxKLr5P7JXSt9uQT9DTfcYC699FLTsmVL07hx41Kx9kIIIYQQQghRnQnGuZfLQp8kbj17YsYuLzQlUxeaWNP6JtamDLHo8bokiuHyuJ9HZeP31C1uaNot2tLMbfCXmd9wWnx9UcmyTCobubYi8tPHnMt9blMuQf/www+bn376yXTs+F8yhqBrvhBCCCGEEEJUZ4JZ6NPNxZ5ayFeQhT4WM3bZv3Wyi1cY8/+C3lnslxca07hetNU+7enL535u/3/gA4t6YUiot166oalTUs+0XrZhgqBPRZ1YA1NkC0zd8Jz0tiJrHTO5TrkEfadOnSLFPDz33HPlObQQQgghhBBCVDrFAQt92SzYtswx9FG4QYUIa7/9e5GxBUUm1rKhMas3Iu28WxdbraGJtQjFqtuyi9tldRaaRkXNS60vtiv//6/sBz2i6tGo7prJ/PQTaFzYshxnijFXn8llynU3zjjjDHPfffeZ6dOnl3IxOeigg8pbNyGEEEIIIYSoVBKSvZXBbd4PAlRcNvVogYuYd9+LVhj710JT8ud8YwuLTcmsJSmOFHC5jxlTv7iRqV+UJjleGgFcWJL8fNkT5WmQeH4s/6KSBH3Tpk3NPffcY9Zdd11Tp04dk5+fH/+MHDmyPIcWQgghhBBCiEonKMTLY6EPCtGNW+xT5vqQ5C7h6OFBhqISY1ckJr9zLvrBYpEDE/+K5w4LtzLVFluxHvTrLdrSNFtRUVPg5aDL/XHHHWf2339/lxyvUaNGCZ3u7LPProj6CSGEEEIIIUQlkpmgLy5ZaaYvHWtWb7CRaVS39Fzx/+0bM/l59ctcm7r5oZjyTFhZnIECzlwN58fqZz3vfMUTrm/2gy15Ns/k2bLfi5wX9KuttpoZMmRI5LZbbrmlPIcWQgghhBBCiEonUcQnj4OfsvgzM3PZD2b60m/MNmsNitjfxt3cy5Mt/99p3P4Ts3b20ri7vSMvRia/0EXYUlb78hi38/PqmeLiFRWacT5jbBmvIpZhJXMspL5cLve9evUykydPjtw2YsSI8hxaCCGEEEIIIVathT5FDP2CFVPiWfGD5aYsGmlWFC9KsND/H3v/ASfLVd75w79TnSfHm4PuvQpXAeUIAolgE2RjggNgMOB31zYsBhzw4rQ2sDasve86YK/TmiAM2KwXvKwBCyOTLaGIULzSlW5OcyeHnpkOdf6f51RV96nqih0mPl995k531alzToUe9e88yWjBbpoSaZduldNLjYLeg3l+wb1BtmChl53LDN9VHsLemWuwukhsJFqy0J85cwY33ngjrrnmGmzfvl3Fzjv8y7/8Cz7ykY+0Y44MwzAMwzAMwzCdwSXiQ1zuNRf0YmXcte+hsb/FNaM/q14LYcAgUa7RndmCnsx2TMw9hd7yCKZzZyGFv5t8VOk8Sm4XLUltb4E1VrVtz+wtlgTlPHdrQ9B/9atfxY/8yI/EWtFiGIZhGIZhGIZZr0nxTFl3xz81f3/D/unlo/YrgbQnhl4ghf39L0HvqW6VtT1b6ca5nqcDRopQ7HFUejU4KV5zNOd0v7XrKpwrPpLwKNaUKyboScz/zd/8je8+TorHMAzDMAzDMMzaJ56gp7h4J3SdrPBejsz+m/ptyhIyhjux3b6+210l2HrKQzgXMI7Vt2xJ0EufJHl6CbvoDuI3Vc0DSt3t7X1hMkFPBmLW8ysXQx8k5ok/+qM/aqVrhmEYhmEYhmGYjuMS8ZoV3q+lQ0qE+4wLIbCr5xb05/bipm3vRk92m9qeS/VbPYXUeheRFvrQodt/nIeLBl4Zf8gmfP5Zz6+goKfEd6973evwZ3/2Z7Vtf/EXf4Hf/u3fRrUaVDqBYRiGYRiGYRhmvZWtK9dex8liv7v3Zlw29DpX27TIRY7jZ/1vBy4LfaRqDm4wmDuQaNTmWWMJANYoLT0tf/AHf4Drr78eP/3TP13b9pM/+ZOoVCp473vf2475MQzDMAzDMAzDdAx3HrBgIdub3aEdYyYfh/z1bY3qFfS51ID2jiz0cs2YsDNGT9MLDonc/Fs8P9Hh/jekoC+Xy/iN3/gNVY/eYXh4GB/+8IfxyCNJkx8wDMMwDMMwDMOs1Rj6evoxE014Iy/WLfwQ9QWBbKoXw/kL67umK5BzpeDZRtSbb1XykgiXIUdFZeEvlPthmOnWrex+h7LRvr1J8ebn55vaxzAMwzAMwzAMs+ay3IdYxiXqIlzKJkS1iie3FGnjKNb2XKUbxmwZ6JDbvXu8eKZqbwm+qLj4vbPXoGQsAjubiKHfYNbzlaClJ+Wiiy7CO9/5Thw96pRoAI4dO4Z3v/vduPDC+ioTwzAMwzAMwzDM2qTR5Z5c6u8580fqZ75s56PXxL4pqy0pryBX9JTMttUKTeXyiFM9T6AVZT2avyxR+6xZSDhecF9MBwX9Rz/6UeVaf+DAAWSzWfWzf/9+PPzww65EeQzDMAzDMAzDMGsR3SrvWOEXK1O1beeKP7D3tSjoNaUu5Mr4jpN1vZAewp7BWwNm0jlkuckk6U5pwLbOZuPSksv9li1b8N3vfhdf//rX8fjjj6ttV1xxBW6/3aqzyDAMwzAMwzAMs36w1GRVlnwS4GmCHsEu9wcHXxM5SnAcumwukVwIGaMbuWw/TMy4ZpDMEt5EEsDTcxB768n+6nH1zZExWrH6b1wSX1XKaP+qV70Kr3jFK1QCPOLFL36x+mEYhmEYhmEYhllPuGPjLZFrynoCu4q55BNrXw0Uz4P5fZFjrpSFvlncmewpSZ5s2UI/unhJ0/PJp4eQNbrQFqTc3C73t9xyCz796U9j7969uPnmm/HBD34Q999/f2dmxzAMwzAMwzAM01EaXe6rmqB3Xuuu+UEu9+FWZDreEvLz2cmImawuGa94bsPEMtW4Fna63ouuLVmjm53w2yXo3/Wud+HLX/4yxsfH8Tu/8zvq95ve9CZs27YNb33rW/H3f//3mJqqx5wwDMMwDMMwDMOsVfy0qi7o69Z6Xfj7C/p0mKDXBqqKckijlRCuwWPkUgMN+3UvBiIlcp790Uhhtcqr/oMaUZsFW9QndfMX2Iw0nRQvn8/jla98Jf70T/8UzzzzDL71rW/h2muvxcc//nHs3r0bL3jBC/B7v/d7OHLkSHtnzDAMwzAMwzAM0y5qMfJ1t/qquewj7qMt9GnDLXTD2NJ1hfq9v+8l6CQik2rcFtbeZ5vX5f76rT/f9HyyqZ7wBnKt+SusbdpW4PDiiy/Ge97zHtx11104f/483v/+9+PUqVP42te+1q4hGIZhGIZhGIZh2oouG4/NfkvFzC9Vp2vbTLvmvDvW3kyY7M49ECW+29PzAty49V0YzO9HJzD2DcK4cMhKTJf1iPoQrewfL+/eZogUMqmkMe0s0DtBa6kGPczOzuLuu+9W4v5Hf/RH1Q/DMAzDMAzDMMzaRRfnEkdmv+4S7PUYer1VNbmg9ykplzIynuPb5DaeMjyWeaEEPg6dqL0PIijhn5crhn4K953+K+eolZHzm9OrvnMW+t/4jd/A6OioSopXLBZxww034C1veQtuuukm3Hnnna10zTAMwzAMwzAM03G8QnO+dLZmlVf7a691ke9ftk4IETFSfTQhUj5x+m1SrH7dpONJP79wAj0hoEMu1ZdwDjElfa0CgN9JNHd9JDYuLQn6b3zjG3jyySeVkKfM95QM7+jRozh8+DD+/M//vH2zZBiGYRiGYRiGaRISqRUtLt6Fx32exJ+pWeAdF3R32bqgOvQRLveOMJZki6+37cvuXPVydpTojn5oLq5ZiCA3/AiqEnLKna2+fSXlqB3dgybmtcHUfUsu94VCASMjI+o1Zbd/+9vfXnvf1dWmOoEMwzAMwzAMwzAt8OTk5zFbOolCehhXjvy0igEP1nfS5XJff11vWZUl33H0+vV+6MJYt+YP5g9gf/8PYbCyCzgbtFgQn6hlAT/X/i1dl2Nv74sgj8+g6iobJ5pWweb5BaDXeh1rUaAad5wlOxN+mpSnNs/NR0sW+rm5ORw7dgxf//rX8c1vfhNve9vb1PZKpYKFBSo3wDAMwzAMwzAMs3qQuziJeWKxMoHp5aPeFg3vdbdzJxmen9u5l7JZDN3vZMH31nmnBYatXVc01n9vlia1bVDIQHdmtLX5qM6jm0gzrqB3Fk4q2Oy0ZKF/73vfiwsvvBCmaarY+UsvvRT33nsv3ve+9+F5z3te+2bJMAzDMAzDMAzTBF6ruddS7K2xThZ5d9I7stjTUY1isyezDRf03Y7HJv7eHiukdro6XKAvuwv9PReFNUIn1HN4fH94Qr8d3ddDGIbyJGieOBb6pLXnmZYE/Zve9CbcfvvtGBsbw9VXX6227dmzB//1v/5XHDx4sF1zZBiGYRiGYRiGaQqv1TzKUFwy55E28j6iv1GQUmK73ux2bUuYIHWOF3RgeJNVQZ+TaMjIv6v3Zt+j0mYWfaUt7ZlCC+cvsDlJLOh37tyJV73qVernh37oh7Bjxw714+B9zzAMwzAMwzAMs1pUGuLd3dLPz5Xem+ndstqbkVZtvzbaTv/XnUAkj6GvW/BlIqG8d/baWFNqKrEe0/4Y+rvuugsXXXQR/vRP/xTbtm3DS17yEvzhH/4hHn/88aRdMQzDMAzDMAzDdBTTI+gbRbhPmTbPNvXeR/iT5drVLszl3tNjks3tIqz72nVJOIesaXkzZIxu3/0XDrwCbSN0dUFgM5JY0F9xxRX4tV/7NZUI78yZM3jXu96FQ4cO4eUvfzn27t2LX/iFX8AXv/hFTorHMAzDMAzDMMyq01gz3q1YKyZlTHfjjYWfL59Trvhe9Gz5Vs/x1LCcXoI56ZdAr9NW7HBJ3wpBdelHC5fGGHsFkWtkHmshy31vby9e97rX4X/9r/+FkydPKiFPov6///f/jq1btyqXfBL+DMMwDMMwDMMwq4FpupPimR63+LLZWCtderKnU9k7P1Ii05zLPb0d9xH0K6U1ferdb0779iZPiuflqquuUj+//uu/jt/7vd9TrvnlcngtRoZhGIZhGIZhGD+s7PJmgyW8pSz3nvh4fwt9oxu+HylhlaHTOg9pvYKW4YiM9uuB9X8G61DQE9VqVcXZk9X+yJEj7e6eYRiGYRiGYZhNwqGpL2K+PIbnjfxUoEu3I/xJuKeMbMO+aoSg94uh9y4CBOEdL20UEul5mrernFwTml+MdgPTi5BlM8bCgmxCKsdtL1dZogtsRlpyudf5zne+g3e+853Yvn07fuRHfgTHjx9vV9cMwzAMwzAMw2xCppafQ9mcx5mFh0PbPTP9Zdx37i8wWzrZsM/rUu91uffLch+EgNtTICUsQX9w8DXoze7AhQMvj92Xaw6lKsyJImQTddiNwQLEjr54OfdEcJb7qGNbJXRMpvOC/ujRo3jmmWdc237wgx/g/e9/Py644ALcdttt+Nu//Vsl5r/2ta/h1ltvTTyZL3zhC7jhhhvwwhe+UPUXlTk/Tnuay0tf+lK8+MUvxoUXXqjK7c3NzSWeG8MwDMMwDMMwq0NU9viJpaeVVJ9cerZhnzeZnfQkyQuNe/cghOGb5X4wvw9XDP8UCunB2H3ZgyvM49OQJOgn/BLlBWPs6LUn5u23GVXemuAO9AloOgldsvkIbE5iudz/xV/8BT7zmc+ozPWvf/3r1bbPfvazePLJJ5HNZvGKV7wCH/7wh/FHf/RH+NjHPqb2Hzx4MNFE7rvvPrz1rW/Fgw8+qGLv77zzTpU5n8ag5HvNtP/GN76hvAa++c1vKs+BsbExXHbZZeo8/PpkGIZhGIZhGGbtETd7vGmL9dnSKZwr/gB7e1+Iim2hJ+s6udcvVWcaeo89D4+7fiKrs98wSuwKmjiSQmJe9Dgx/O55BGvokHFEu+UxVT3Lu/rsqJVexLyVchNa6D/3uc/hW9/6lspY/9u//dv40Ic+hAMHDuCTn/ykEslkKX/jG9+IdLq+PrBjx45EE/nIRz6CO+64Q4lz4s1vfjMqlQo+8YlPNN3+V3/1V9UPiXliy5Yt+NKXvoTBwYQrZwzDMAzDMAzDrCLJVNjjE5/D+OJTODF/LyrmstrWk92mfi9XZ2Nb/y8aeKVnFt628QWqnLfm4ekwMcb2XojBAtCdDVbwAYpe1Oy5nbVnC3VitPixoM7xksEXImUY6Mp00qgqsBmJJejJ2k5CnrLXUym65z//+Zifn0exWGxbFvu7774b119/fX1ihoHrrrtOucw3055i+Ml6/6IXvch13E033YRczpONkmEYhmEYhmGYdW+h90LW+aq0hHTGTljndQEP6pss+qFJ7nxc8MNi5GXRRzdRFv8ldwhAFKI3B2O025NML56g78/tQld6NHqMRDOqDVp71ZPpd+0Zyu/CzsE9SNkhCquDSQEYG85EH+uKfvSjH8Xf/d3fYWlpCX/8x3+s3OxPnTqFv//7v1cx6SMjI8pCTxZyhzNnztQs41FMTExgdnZW1a7X2bZtG+6///6m2j/22GPq93PPPYdf+qVfwszMDHbv3o0PfvCDuOSSSwLnsry8rH4caBzCNE31w6xf6P6pDKh8H5kNBD/XzEaDn2lmI8LPdfM4ulRGfBd32pnSaue8J1Feri6p9way6jdZ5PW+6L2f/jVIrEsRGo4uzXj3VRZJSDZiUhK8494QgHD8xmuIU5f+7ZTbO5UAVNfBc4hZf1alzzy9lfCobZeoe2ULzVasxrCrB5iVKpSOV5225hOvzrM28cZzDu/TyqNGh5vm2g+/jvv3IpagJ1f6t73tba5tO3fuxK/8yq+on6effroWY//TP/3T6odc4slNPw5k6Se8lnN67+xL2n5qakr9/t3f/V185StfwdDQkBLzN998s5rv6Kj/yhTlAvjABz7QsP38+fNqQYNZv9CHghZ26A8BeXQwzEaAn2tmo8HPNLMR4ee6ecplSwjPVecwtjzm24auq9Nufm4OY0tj9ffVORTNOZgoYcmsoFwtYaE6j7Fyva+F0gLKslFwmzAwNTld68sPuq+Y95+XQ3pZonvOX23OjY+jt5TMYjwz5jOelMingNyiDG3Xt2wCsoJKuYyy6T4vMmRmimPoXTIh1AKK1VelXMHM+HlIQzQ812QIrbczkZY9ygncEqP29qfHUNo9iwIJe1OiUgm+nkQ6bR1nLYJZr0sl6xha/5AGkNfEbsXur0oLNYGhBjRfez6lov81XGPETeTeFp+Hiy++WAln+iE3d0qY9+ijj8Y+vqurS/3WLePOe2df0vaplFVS4h3veAeGh4fVawoZ+MM//EMV+0+x9X5Qm1/+5V92Pdhk2acFgL6+4NqXzNqH/rCQaxLdS/6fKbNR4Oea2WjwM81sRPi5bp7nzlpx4t2FLmzp3+LbxpRVHDnntOtW7ZzjuvIFkGSQMouB3hHMzWVRyBWwZbDe19hEDtVyY/36vux2jPRuwZmJxn0OA/2DGC34z8tBnpgBso217onh4T6g6I7pj2LLlqHgsQ5PhraTs5OoSoE+jGI6c8a1r6+3D1u6t0AWp2GWy1gui5pxd2RkFCJtNDzXp07nYCxb7ciLm/6zoMoCsr69pw+iMq0WBeh9OHYSQyFg2IsItWNyKSBlAMUlV/9EpWJAmkHBAnpfGZVbba2Tz+sJBdso6P/1X/8Vt99+OzKZjO9+imOnn+gbVYcEd39/P86dO+fafvbsWezfv7+p9rt27ap5EjjQnCgM4MiRI4FzISu/X4w9/fHlP8DrH+sPA99LZmPBzzWz0eBnmtmI8HOdHLLQOm7e9Dvo2lHm+Xo76zo776vK8m71k011qd+0y9UXbfPRgdlUN1JG2rXPyZSvu+VH3VNTWCni/DCE8C2aJwbyQLGsYu/dO4KvA6G39mtH+ynT/PbiJZgpuAW9cy6qjeeCqGvqN25osL1wnadUfcaJzg9u42TJl77tRKx+G+7/GiXuHBOfCVmwKWb+x37sx/CXf/mXKvmcH7//+7+fqN+XvOQlyrqvf4AfeughvOxlL2uqPS0qdHd3q1h+fRWJXOf37NmTaG4MwzAMwzAMw6w0mgwOi2N3Zal3NyybxVp8d0pYBkdvhHhQlns6xooFr9OVGUEu1Z84KV7w5AO2F8sQu/phbOmBIKu0M17vOk3uXffAbx2/1RfUkx7G6AAbicRP4AMPPKBi0F/3utepMnZXX301Lr/8crzvfe9T7/XEeEl4//vfr0rKHT58WL3/9Kc/rdzmqdY8ceutt+I3f/M3Y7cvFAp4z3veg7/+67+uxb5//OMfV8L/LW95S1NzZBiGYRiGYRhmZdCFd1iWe3cpOelKEFcxLR2QMkjMO9Zdr4C32m/tusq9WZA92C2XqO8thcv0RnFOJPE+SrZHLu7KUq8JWDHajZUgbr14q52MVusyImv/Dr/Q5oA5+MTJi94csv2DmCj4G5s3Mk3F0FN2eRLO9ENW73//93/Hl7/8ZRV7Tu7sZD1/5StfqTLg6y7vYdx4442qhvwb3vAGJcbJxeCuu+5Cb6+VgZCS3ekx81HtCUqCR4sA1HZgYEC50tOiw44d9WyMDMMwDMMwDMOsbRpFuLZPeoW//r6qWdsdcS59+x7JX4zp5WNYrk77HONgeizEbtEpy1VgvkT14fxd1GPidXnXdjTdZ7RYt7cnsqRTY1N7HSTCI+bUkyW/fEqIEHNcZyHBJpeCMdSFytH2lFRfT7ScFI+ENFnP6Yfc7MnFnbLKk8D/tV/7NfyX//JfVNm4OLz2ta9VP36QO32S9gRZ7CnbPv0wDMMwDMMwDLN+8Freg/GUoNMFfU3sG/X4a28d+lqNO8MqVaeJaq/4pb5d5dk8+00qQUcl3kpViK09oTXhQ/d10CvcG0awInDFxrUp6Mky//znP9+1jZLO/ezP/qz6Iff7ycl6pkWGYRiGYRiGYZhY6Jb3EFGsC396rcfEO/vc4twpi2ZitnQKFWm55VstdLFuNLrcq/70LHke5U111Yhi3VLckNhuDYR5p33izZsZMl31T5TegO/t81j0N1Zo+/oQ9FT67R/+4R98P2CUBZ/E/XooCcAwDMMwDMMwzPpEF/BUws6tHp186EZDDP2Z4vdxbPabtZZWG13AiwaXe0vku1r4TyquOA1aqAhav2iT6DWEvwxUIQNqUUIfKHgxZffCQcpUED1gQxdF+7juYDf6pigHu/4LCci4mfY3iaC/9957ccEFFwTup5j1N73pTfjjP/5j9PTYLicMwzAMwzAMwzAR6Jb3wJhyPwu9ywXfEfR1cb5QHsN8+RzGio+5O6KSdy6X+0YL/YUDr8Bs6WS9TaviMEi/tisjfAC5VJ9KAniu+Ii2VcA8MpWon5SZhhQxk6LXzokWXZxjqKxgl1/HmM4fQ++sTz62atDFqQCgnGsmII3AfAO2Q8aGoaU6C5RB/jWveY2qTX/o0CGV/Z5ev/GNb1RZ5++++26USiX85//8n9s3Y4ZhGIZhGIZhNiWWBd67zRND7+Nyb4m7usB7dPwzDf14LfTqvSYKRwuXoyfj9T5uMXldoIW+s4qezm1//0s8GzttuRaaiA/ZrV5LlDOLPo0k5HLQAsKStWpA165asn5ch9oDmCI0hGNTWej/8R//USXA01fMDhw4gNtvvx2vfvWr8c///M+46aabVMI8hmEYhmEYhmGYuHhL1Z2Yuwen5u/HFcM/iZ7sttr2qmZypaz2fsn0LFd5r2B1958SaZeu8Yuht7aLGNnoo87Odwp1qFxdK6yQV7nwFBeMN7A3E/1ZAOQtcSDa3hzo0XAKwLi121nQ2UCivWMWespo7/cQU+b7EydO1F5TWTmGYRiGYRiGYZi4eK2oJ+fvVYJ9YukZ13an1rxflnsHy+VeBB5HpI28OymeTx16py/9XUsElGkTgy3qp45b251hWk1fb9YEvsBMvV/1b1xBLgH4WfM3By0Jeqr5/t73vhfHjx+vbTt27Bje8573oK+vT71/9tlnMTNTvzkMwzAMwzAMwzDRNMbCq9eeGmgVc7l+hMfl3sGKn3dLn7JJidkcDKREzpUEz6pDrwtjp1+3Fb8VQe3r+p32jru6yI52Qi7yAbt8LkFkxQCxOazybRP0f/u3f4uvfvWr2LdvH7LZrPrZv3+/ip3/2Mc+hvHxcfzMz/wM3vzmN7dvxgzDMAzDMAzDbBjOLz6JudLpiFYyUERXZT1Wmiz4/gqxsaZ8g3XeY5FvrEFvb/dkvvclbgj9eDHRoZFC394t8i1FVvvgL5RlEg+FwNJ1NkJ734H1DFEIiN1f57R0py+55BI8/vjjKhHeU089pbZdeumleNnLXlZ72L773e+2Z6YMwzAMwzAMw2woppeP4vD0v6jXt2z/Jdc+3XXeVELdX1BLLVGe5XLvY6H3jaGvk0v11OZTP8gr3K35kCW/PpdOKM/mDzX2DEDOLEEMdfnv394L88ycr+AfyO7tfHr9BmRbL0Ro1QFjY1rvWxL0r3vd61R8PGW0/+Ef/uH2zYphGIZhGIZhmA3P5NJzMevLlwMt9KarbF3V141dCe8Qy3rW6In0BHB2ZQw9YV1wn3KpDDm9tKKKXuTSEFtCyoUHLEBs774WXZlhVDHeuHOlksslcpfXa9bL2lYZ1sfaiWJYO4L+e9/7Hr797W+3bzYMwzAMwzAMw2wi4ok4U+qlykSghZ5i6HUXfP2YMOttSmTV71yqH8vVGX9PAMdCrwn6MI1oHl+DecQCJpxP9Ycf16qmT3p8R2LhpdM5NhItxdBfd911Kmbej89//vOtdM0wDMMwDMMwzIYnWFy5XO5dgl5iculZnJp/wH7nttBX5HJil3shUur3rp6btGP8y9y5LfT+fcqitzRbAsKr67UHT59+lQFWE1ltSaZuKlq6Uu94xzvwoQ99CCdPnmxwbfmzP/uzVufGMAzDMAzDMMwGJjTmWROZVc3lngT8oakv4vjctzFXOgPTE0N/fLYxh5dlbQ8eyxCW47I3y72Os6iQFnlPEr71T29mB+RC8qRxOaNbXad8yj9m34VMYBmv0gJMM8jaq9AeWllw2Ugu93fccYf6/bu/+7vtmg/DMAzDMAzDMJsEXUCTgdCdZE630LtFu156zpUUDyaKlbGAOvTBtkzDttC769B7s+lbItAQGd+SeW1jBT3Cr93yH7BcnUNPdiuqR534eTqnOOJ+ASlDojfd74lp9yGGA4A0vSeuvy/Z0tUI79w0rR8I9FQymA1Qu+RBIbqtMItNLeivuuoq/PEf/3HDdvow/tIvubNUMgzDMAzDMAyzfiChd2z229jefQ16s9s7Ph6JcYFU/b30d7nXXexJgLtc7mUVfdndmC2dSBRDXx83uMa8k5hPX3TIGAUkwRjthnl+IbSNrLrVr1zWww3aSy7Vq37cwtlZpKDrGrwIIsSjALa0bzIeC76W6g6Ak1ywL7yLUlASwrUVUrBmBP1v/dZv4bbbbvPd95GPfKSVrhmGYRiGYRiGWUWenf4qZkrHMbF0qKGkXLvQRbMlzDVB77LQl33d78mK7rLew6y5zzeOI6It9C6Xe3d7fVHhsqHXY7Eyid7sjhhn6Roouk2lsexe24gcfmm1BvahMYt98mMdNkZoRNtj6F//+ter30eOHMG///u/q9dTU1Pq98tf/vJ2zI9hGIZhGIZhmFVgoXJ+BUYRvq709hbf16bpLmHnrTvvTqBntxMhLvdSoG98COb4glvE2+17MpZoHy1cWtvVn9uDbd1XR55d40SwyogmRHLctnTdZykQool5OcMs1t66wy8iD7TYhGXrWhL009PTeMUrXoEDBw7gLW95i9r2m7/5m3jpS1+K8XGfGoYMwzAMwzAMw6wKZMk+NPX/cGbh4Vjt3XXgO2Ph1EWbV5gHZV7Xy9KRANdj6AMFfUiW++7yILJLWcjJRXcMvd3+sqHXKos81WpvmSCRmlrhrO4yemPayKnfGSNGwjuF46q/GHM8P/R759NPJBKbjZaenPe+973Yt28f7r//fuzYYa1c/c//+T/xC7/wC3j3u9/drjkyDMMwDMMwDNMik0vPYHLpMI7OfiNW+6pW/m2pMo1O4xXmQeLMm/E+joXeMs/6i2ndHV9fYHDEfcrIKou8cu+fLMI8PdtQ4at11p4Q7UoPoC+7vVbSr3On6H9ftnfvUQdlU93NdrxurvWqxdCTq/03v/lN9TqTqWd7/Imf+An85V/+ZeuzYxiGYRiGYRimLehCOA751CCWqlY4bafQvQAaLPIBolmPpycx7/Ue8He5D6tDXx8nLMu9ajletPbNl4Bey4LdFlZYY8pSHI+Lkv1DOm9wBWblvj/5dBey2RHbBp28pN5moSUL/eJi3Q1CX6Wi1+fOnWttZgzDMAzDMAzDtA0jIIO8HySKdTFvdiypmK4hqjFd7jVBL2Wjhd7lth1dtk6N41jmZXCWe/cgTSrwNWQcptJt8SgDi0kWg9oZrC49F20pNHGfxOajJUF/wQUXqJj5ycnJmnvK008/jbe97W248sor2zVHhmEYhmEYhmFaRHed1q3cfsa5mdJJz/7OCHpdtHuFeZA882a1jxNDH+Zy72qli/7YSdmSsMqSUz+liHJ4ot/yRiDMs/NtOG2R7JIIv52O10AzlQAkNiItCfqPfvSjyuV+dHQU3/rWt5Tb/aWXXornnnsOf/Inf9K+WTIMwzAMwzAM0xK6y/lCZaz2+tT8A3hg7C+xULaSWh+b+xaemvyC61jZIQu9uzRdvKR4+lxIzHuPS+pyL4Ws7RFxLfR+/cSMqxddVqiysbUHq0rEeoUYaVHEe5Gd0tuy9kpsUNHesRj6rVu34jvf+Q6+/vWv4/HHH1fbrrjiCtx+++3tmh/DMAzDMAzDMG3A1Kyai5Up9GV3qdfH576tfp+Y+y4ODv0Yziw81HhsQ0m5NiGTW+j1uPunp7/UsD8oy32wxV0ThC5BH6J4m02KR979O/ogyDqeTwPnbNFM3dH85Fotu9aqUF4DQltgQ9KSoHd48YtfrH4YhmEYhmEYhlmb6K7pVbMxyZghMrGObeucwmLoA8RttLeA9I+hD7C4661FJTwpXlyM0W6Y5xfcG9MG0JuFMARQ8F5raZWuq8hVVKRhYwfHrceaJy2UaIslnUJi85HoKT19+rQqVRfXnaRSqeAXf/EXMTXV2eyYDMMwDMMwDMOEo1uu/TLeO3XH/ZArkRTPzlg/ufQsKuZSrBj62AhL0vvu0v5Nj8uYFnrfidVfZ9wyS+RSMPYNQhjB8ksJ/TAS6WHTX4Qn6cPVNlmFhMYLFGPgBsG/GeV5hwU91Zq/5JJLcNNNN+Gzn/1sYCZ7Ev533nknbrzxRtxyyy0YHFyJMgcMwzAMwzAMwwShZ6qnGvOl6oLLfZ0s2EGGu0653OsWehLxJ+e/h0NTX8TTU18KjqFvYi6WOA8WlY71XmhrBV6LfphRk/aZz066emyYQVSSvR57QYUs9S1D4dAPA3jGFuNzTYjyMMLKyNH98blWK6LPZZvabGCX+3e84x143vOeh/e9731485vfjEKhoAR7Op1GuVxW1vjl5WU8//nPx1//9V/j+uuv78zMGYZhGIZhGIaJje7STnHy9HNw8DX1BkpwNuvm3uyc6uKchLzDTOk4duC6ts2FxLmfoO5Kj2IkdSHSS3n13jC00n4hmdRJ27t685aAa9Tz4VB/wwUIsuzbSfN8TiIBTkI7SnQ4Yd9XWijwv6bJOZSoNT16ct66xg2IxmfO2D2ZpHdsZpqKob/11ltxzz334NSpU7j33nuVpX5mZgYDAwPYtm2bssrTb4ZhGIZhGIZh1gZ+cfBPTf1fvUGgiG3GKh4Guc0bWhk9P+ZKZxP2SoLVf55B8fDbuq/CFnkJzOlZq106E6ygZYiIjNKUMerWqwWH/nzzLvmBOGMnvYdhc06WAV9OhMzd8Ml5UChDlsKfj2QIbFRaSoq3c+dOvP71r2/fbBiGYRiGYRiG6bjLfR2tbByqgcLdv7Z7c0wvH8eTk/8Hu3tfECoyT87fk6jflEijKkuJBF0hPeTyRBfdWVzc9SMoVibQk/EaKDXhWZWJ9KIsNe/hYGzvhRwvQmzvRet0KhdCC/gI+vYjsVFpR4AGwzAMwzAMwzCrxHx5DMfnvouqGR4jHZVMTspKg4W+P7fX2pfYuhvMczNfq5XJC4qTbwYhgm2VfgnuKKt/X3Zng9YbLlyE3b03N7ro6+0qbc4pELIgIHpzVkI9KnPX8jj+rvJWfoDweyGrZmcs3srlvhVrvIRIhz3b1Q1tpGdBzzAMwzAMwzDrmEfHP41T8/fh+Px3Q9tFlZ4jwa8L7Ou3/gKyRldtXyeIWz0rDmEu/Crh38wSDkzdglylW23b3n2NMwt9QiGT9Xehl8sVyIWwJHExiEqY1zaWAzb73F/vesbZeZjHp9X5tlUdKwv9QFOHiq4SxKAE+pY2smYPhQU9wzAMwzAMw2wA5kqnQveXzcXQ/eRWX3e5F8gYBQhbJK9E2bpWMcKiiYWAeW4eGTOH7fOX2u3bE6NtHpuGnA6v0y56slh7aPI3xsIKLVrIpQrkacqY3yYPhZQJ0b8YIUuD5ya6l2GMmrX1EOlKsEevqxve7b4NfhsMwzAMwzAMw6w2FTPYSjxWfBwTS+GZyaeWn0PJXHCXcbNFb3uT4tWFZDtd7qMs9N7Xjou+eVZL8BY2HV30UgLBuWXIiWKsuYmRrogGK2RbbsPllmb7ngVj/3n71MPOvxL7pISrn40p4Ntqof/0pz8duO9d73pXK10zDMMwDMMwDJMAqi0fxLMzX629Tttu9EHu+3pWeEckd8rlvq0Wek8Mvf7eEXq5VH9N8tG5ycWyOwN9gumYZ+aCk915M9JHCfZ15StOkx2EnA3OyB9MNuCyGC1cE5lwDhtL6Lck6D/4wQ9ibGzMV+h/5jOfaaVrhmEYhmEYhmESENeKvrvnFlw+/FOhbUxZdlvom3S5p4WAJyf/CSfn76ttc9lQ22j5pyR3OilRF5zOAkUu1VebAQl688SMp5eYMfRRUAK7GGXmRF/OmstQhAW/04ikbQ3Ic/0JDoq6eK0sGElsZlqOoX/DG96Av/3bv1WvT548iTvuuAP/8T/+R6RS7awbyDAMwzAMwzBMM8LGm3iOhGxKxIvpbtVCP7l0GNPLR1RG+0673OvnRNb5bKorVLFmFiwx7SLudCLaUYZ8Y7Rb3+DfbmsPjAsGqZwA1gvWmbRy39wLL8Fu9dGZ95FkLuvKC2KFBP0nP/lJfPWrX8Vzzz2Hm2++GZdffjmWlpbw6KOP4kMf+lD7ZskwDMMwDMMwG5DxxadRLE90dAxvyTkS6WkjnqB34s2bLVsXXBfef26toJ8TCfq0UdDeN8qe7glNcMfBFTsukwlIESz8RTbVWCJvxREN5xQ4JbWjFUFPnhNe428rz4GsvVrtq7jukuI9+eST6O3txV133YXDhw9j3759ePvb344DBw4gneZ8ewzDMAzDMAwTxMzyCTwz/SX1+pbtv9Ryf0HWbq9oJjf6uBb6WpZ7WWl9flKi4sm0316Xe13QZ5DWXe41Admb2YEd3TcgPecTAx6W7b2aNNZek5erLth95t3slFQm+SkAW2Ie4L3HwrbStz8DvcTmoyUL/a/8yq/g+uuvx65du/DEE0/ggQcewNGjR/Ha174Wr371q9s3S4ZhGIZhGIbZYBQr7bXMU9z7I+c/jWOz3wkVzWSh98abU1x9uMt9c8JbH/u52a/hgbG/wlJ1qiMWepfLPdKupHhGtf46Z/RhT+rG5AMkFfQxLPSdQcYsVddk9yJeZv86VEUg3FMDGA7YnszlXmDz0ZIZnVxDPvWpT+HHf/zHa9t+67d+C0899RRe8YpXtGN+DMMwDMMwDLMhSXlEdTsoVsbUz96+W2vbpCf+nazu3hJvmZS/+7kjip0kecmpi62x4mONe2PUP49L2qjHodOChS7oe04V6qbMignz1GzUdBuptrN0X6egE3gqQdtmqF8H08zCMJp9NnQG6Olt8lgZst1P4ssNpfxbEvQ///M/7xLzDgcPHsT73ve+VrpmGIZhGIZhmE0j6CnpXFgd9XbH0BMXD/4oxhefxGBuv539vRHDdlU3m8xCHi0ZzY5cTxLzKZ+ydUlRCw7LVUqPD1nR5hqyECF6sj4e9yulIGle08kdtBNlua+XR5SyXedlAOkqUElBdJVaKFsnkh+ymQX97//+7wfuW/3EDgzDMAzDMAyzdtHd3qvmMgxXVvb24c1Q78STD+cvVD/EXOlMhIW+2Rj6cOUU5HJP1yapV4Duck9i3h1WEFfouecrT89BLpRgbOlWlv1YdFQH0X141HZR35NcqRr6okT8wyzoWAMQ1WTx9i7RHzSQgLF7CnKmADGQxFIvN5Y6X2lBf+eddwbu+7M/+zO8853vbKV7hmEYhmEYhlnzkBX3+Nx30JvdgaH8gab6mC+fxWBqf+LjxhcPNW2h10kb+dBFh2YFfVTSu6D9Tnb9JKQ8We6dhH6J9J6nLYl59Xt6Cchq1y1On7lOJAmnhZclAKeaEvQi10q9d4qFb9WLxO++kuAXEJkqxAiNkRRZ70kl7NtctOxyv23bttr7arWKsbExGIbh2s4wDMMwDMMwG5XZ0kmcXngAWABu3PauBLHxdfFRMhcSjztfHsMz01+OHsUjmv3EckYr8eafFK9JQR8hMCvmUuC4eg66OKSEHkOvJ8UTLXsPy1IVoJ8EiEwKxu5+WmloaWzPTCL2R3kRSIi+HOTssk+EeZwLXk3onu/uVuTSkMtBDZtlLmH7jSX6WxL0L37xi/HlL7v/iFQqFfzd3/1dWxNcMAzDMAzDMMzapf69d6kyg+7MSMyj6sdVm0g6t1ydjTlONZEYJnb2WFngHVFMY1XMZVfiuXhjhwvMkulvka1Z1xOgL6TQooUT/28tYDTnct9qO1Fof+LDcKLmFZSpP5kbQ3yp5102EIEW+uapRvS/sWlpucgr5gmqP/+2t70Nn/vc51rpmmEYhmEYhmHWBbowX67ONHWcadbLej07/a94YvLzke7q54o/CO5bO1Z/va37GhTSjSXCyII9Wri8JuadMnZCy3L/8PmPBVrUQyaClaoAoGe1p/MRwpI6QsVwt1forV3TZYyZiXN204Rl+GrHJ2jvveyBt8FnxyZ0n2+GTgR24JlnnsGzzz7bia4ZhmEYhmEYZk2hC+ZElnbXcXastpQYW7TKu82WTqE/tzvw8JnlY8Fdw8RieRLPzvwr+rJWH4X0EPb13R54zIUDP6x+dBwrN0FinuaUJE9AlMt9UrrSoyhWzvvucwS8hVFL/ke2+qYSpjfbblU9lb3eGJRo0ZNkTiy1Ps9ZJ0Qj4sp6Rblv6EPAgkszazAi5Jw26AJBS4J+//7GxB1zc3OYmprChz70oVa6ZhiGYRiGYZh1ge5WHmVVD3O5J8v8kmbhX66GxwZnU70oBbSheTwzfZeqSU8J97wW7Lh4jzk09UVcu+U/IJfqjdlDfBE1nL8YE0tPq9fpgJj+DFUCCAjn13MDkIXeqFnoE7jcxybkvEzZAZHuF4JA4xyy918GgBZ4vNUKUsHCtmGa8ectF3JNGvOT3IdmrqNIuH2TC/pcLof3v//9rg9Ob28vrrrqKl+xzzAMwzAMwzAbDV2Yx4lX14/US8udX3zctTeqbFtaFFAKSAhGdeOr0u0eL5r46u8u/WZBGf0vGnhlW2LoHS4deh36s3swunyZWtSghYq5EmVyj5e8z2uht8S9kTyG3pSQVRNYKEGOF5vTmm0V9OSNcBjAPgqY8JwHjTNlv36CzObxIqwNR9B75xkznKJiQC5nYrr3R7wP3hjvlonwQ7rSvViqFlFId9MSWbK+N4OgJzH/1re+tX2zYRiGYRiGYZh1hjtePYGV08flPq4Yni+dVdb3IKaXjzUkzaPa7EnxOyZJxvu414Nc+8k4OJgn4QqcmLvXt13GIBdyC3Kp1xdQ3Nn73Rb6uPpNLlcgn51ES2RaLe2mQ2KeOGILeh39+ZhNHpuuLzwkeW6VmI/d2mc+jfn1oxDZCmQp+fObNjLoMfrtd46g31iu9y0lxQsT8x/4wAda6ZphGIZhGIZh1glmYot0o8t9o6Anq30Qj058NrTvw9NfadjWjMu9X7Z5Es4k1OdKZ1SowFJlWi0w+BN9Pfpze9Gb3Rlr8SEt8iHnU5c2uaUC8mezyFTzMMjlvsWydQ2EhWqPkjV4JTCbknu1Wu21cyBPkCfRfjIJkuIReXdTvW1vPO8BEavVxhL0iT/VH/zgB2O1++QnP4nf+Z3faWZODMMwDMMwDLM+LfTNCnqzsTh3lMt9UpoS9D6CkLLkny1+H0dnv4Gh/IWYXLKsyBcNvAojhUsSJ8W7eOBVDXXinez6YQsMFA5Q1Yqa630MTI4iJQSGUxdgNneOKtGjvQSfl0i3s+58c3Oo43PezvRqFnqKu2/vsxY8vF+KfKfRlQDua2k4GbtVktCYtU3iT/Uf/dEf4eqrr45sNz093eycGIZhGIZhGGZNsFAeV8K6N7u9tq1YnlBu5z3ZrY0x9AFJ8U6Vv4GxCROXj/yEVpKtfhzVeI8r6CeXmqsmZTRR210XybnUAJar02r+ZxYesufiuIQDz0x/GT2Zbcin+xMlCfRbNAgS4Po5eM/Hrx+yzisLfbtZE0beOItHIS73IW72IqZFPHrsJBcq5PlUpQfbySyAPmxKQX/LLbf41p/38qpXvarZOTEMwzAMwzDMqlM1S/jB+KfU6xu3/iekjKxyNX9k/O+UmLp69K2qFJwry72PyCJRO28eQ6acxcTi09jSdXlDfLmfy301IFadMs03g1+CuzgcHHotStV5zJVO4/zitDrHIGv/YmXCLehjJU4TESXotO2a6NPnsL//ZW5BLy0NKIXsUJb79SjotwAYi1U2TmyrV1tov4U+bNtFtDTUvuECWSkvis6T+EziiPkk7RiGYRiGYRhmLTJfPld7XTIXNMFuCamZ5ZONVmgfi7SeRM5tddeT4q1Nl3tiMHcBtnZdUbPWk0jXhbVO44KGbNJCb8Sw0NfPZyR/sL4IoA8pyUrfziR1EayYu30cQU+l5fT59AaL7I54HAif2u9+A+kTGgGwq7FJ2+eXwkYh8RNXKBRUSbpvf/vbnZkRwzAMwzAMw6wBKuaiy1pPSC1RXV3g6hZ6GTsrvN7Wr43ftiRZ9Nsl6BtEtjQbYt6DXOzj5BRI4nKvW+5d56N5d7vq0av/Vk5kG7vr3gmdJ+pZoJh0/Toa2nHkwuBsb8V7wWPZ712CEWrdX21PCbGWYibaQuJP9c0334yvf/3r6vXb3/5214f5Yx/7WHtnxzAMwzAMwzArDGWXn6Gyb+Z8gwXd7QZft1jrAnaxMqnKxm3tulJZlCkTvN53vW24qNCPqx/TfDIvKg3XGo3n68Ur4KMXIIT/4kCgy71b0BtmCoZMU50+yPFl5HO9KKec+G+rPFrNQp8yaGUGHcMQEG0tWReFGUPq6dfRfi2cazNBWSJaEtnSG9ueKwNZ7TMi9LnQD10f7zPsHV82HUMvYrWwFzQ2q6DXP3Bve9vb1O/3vve9+JM/+ZP2zoxhGIZhGIZhVoETc/fg9ML9rm0VO8bdz2XeXYfexPfPf1K9Jrf0bd1Xuo5xWd0jEsbFtdoT+dQgLhp4JZ6e/ueG+vNts9DbIptEe5BOb0yCF36OgZb4QAt9XTBTcr6Lp15ovSmSN4XA9oVLcaL3EXt/zrLQ20nxRE8WcsY/2ZsoZCAXWwxxWHHjc9Is9/piQwlQzyWFlVzQ5Pjkwl+JuA7OHLuwMoiY7TaxoNe57bbb1O+BgQG86EUvatecGIZhGIZhGGbVGFt8NFBI6xZy0xavQUnxKEEc4bLQawIoSlLMlk6ojPpdmeGGeXghTwDKuh8k5tvpcm+Jdv/Ze633UV4IwcnvooW+4SNlLAd7Eq5SXZNthasg8llgqhKq9ah2vDzeapWulVD0ooX29msV1+5JNNCUvvW7d5Q5frzeb6zpxrHQI0a+gOWYFvpYHa4b2hJQ4ucmc8cdd7Sja4ZhGIZhGIZZUTJGd8M2J3Zed7l3xLtuldYFdc7O9u5eBGg8PoxHxu9EqbpQc10PynwfJIzbkeW+QdCThT5g7s243PtujeFyr1vra9skWeTrfaZFDinY522Izqqijur5dBuy3AvtRKuaprVCE9rDUEfEstDd+P1bIBkbR9AnXqY7c+YMPvWpT7k+nGfPnm3YduTIkfbNkmEYhmEYhmFWCD/rsCPKpS7IbSGvi/TFylTjsZrg12Poo1zuHR4c+2vs7n0+dvXcFGihj5P4rZk69K4xnCSA0gxO9JcwKV7wvAMEmmZI9Pc48JRgM6X1Yx9r7BmAnF6EnPVUFQhI8hc4NR89KChGv63og9D1fhBANmB/EEbjtVGnSvfFOefGe5TkcrgP1J8xstDHmWPwM2LsmQCWMkD3IHC+GiO/Q1w2saA/dOgQ3vrWtzZs924LynzJMAzDMAzDMOsNR4jr7vOOWNVj5CtmXSg6otddtk57HZLg7kD/D+PZma/W3p+Y+3cl6PUFBTdxBH2bXO5pecPOKeCl7rUgbT0Q5XIf5FofcD6aAdF9PkLLai/cJeycY4SAyKeBrT2Ngj4R/ucltttl4Ron3aQF3DsGXfNSyH6/eXkt9FqbWtMo63d81H0TOc/iQUDbYSfppPde1M9B5CtAvgKzdDlQeQ5Ip2PUsg+DXe5V3LxpmpE/HFPPMAzDMAzDrEf84r7J7X16+Tgq5lKDNVoX+Xo9eXLTL5uLODT9/2rbgsS9Q3dmCw4OvgZbui5HNuUWiOcXn8Rs6VTtPWXR9wrjMNHeuqAXtbACvaSfDl2TswuPKK+ChfK4T5K8hlk1H0Lgk7W/J70V+dRAPWxC1i30Tpf+WfUTWui9c9naA5H184CguPz7tbhyB7ou/tewTpToDKvxvtVnsh7vhRq6+30UfufoHeNyO2EeCXvD41WgteyLOn+NE98BirPAImXl9+0N1r8hJ7JB7c2JBf0f/MEftLUdwzAMwzAMw6wtGkUBZb1/cvL/4Fzx0QY3fLdId2e0Hys+5upnYumQtr/RQr+n91YM5vep17kUJRirc3j6X3Bs7lvqdU9mG/b3v7S2rzs9qn5fMvjqjgl6RxGHJd6jq3Jk9t9QNos4Mnt3dJdBgj5gu+7C7yfoaRHk4OCP1c9Vz/+2Kh7ET9pl2p7xbH8cwPdtwd8sYSp8X3AMfYOR2rvoEpZrwe8aUgZ7Q8tk77QRgLGTajAgnF6fOHw3cuwH1otykGeFQDxoLvS5qiea3HSC/oYbbmhrO4ZhGIZhGIZZS4RlZqfM840x9P7lzkjQ+/W1XJ2r7Q+Lc+9KjwTOIyUsq+fzht+I7d3XYU/vC1zbiZ7MduW6X+u7iQJXcrkC89g05HypJrL1sIKG9tprWrCIynKf1BXf3Z+PlPEkcFc5vhyX+7CkeEm0flvWBRx3cyob1w4L/e6ASfrE0De0MROcoN8+eq566tHcehPDc48o5CFS0JPgrnufWP1EPbuG+tcULZYeXIe0uEzHMAzDMAzDMBuLoIRvXuox9P7tzxbJAttI1Swpz2Unc76OLroL6cHAsVOGJdx7stvUj0PGKNT7EmmkjXxLFnp5Zg6yVIU8PQux02gIK/A5Iln/gQnRYsTQ+7p/+7SvJcVrl0j3iVXviGHHC6sAAOelSURBVPE/6lqamgDeRU8cmbA9bbwCvlpPVOey0PsJfT9y9oExKyZoiyiiPw/RlYGciHPNPJUmUv5u+w1J8Qz/3A4bmXanYmQYhmEYhmGYdU25GhSn66ZmoQ9JbhcWH67XpK/vS7tKrgWhW+J1MkaXKyRAt/g3JegrZkMMfZBHgjVmWFy3/xF+OGMZMoXhxT3IVAuN/Qd27Wnj43JvXOBdLGkthr55wq5P1LU75pnQpQCoVOIVWhuvUNeTOjqUE67DdMUX9No1Fz1RojwEI/izYGGNk407rw0EC3qGYRiGYRiG0Vy049SHV21r7RJapX3K3TnoAjxlJBf0eq158gTQ4/R1sZ9gsolK4zUcHnFtgpLmOWNtWbgQo8X92DdzQ8P18SsvaA/qxrHQ69ZibwK7JHp+zQh6P6v2ZR4Xdh/Ley2G3nlRTDBGjJN3rrdKuyACLlzCi+hNkqg8L8jboDao+neXMYqMFChUWyvRuJ5gQc8wDMMwDMNseEjYTi0dQdWMirFNUMnaFqPRmdzdPDL+KUwtH0WFXO896II1HSLogxLT6bHnJKZ1t37HTT8RMlnm+RNz3/U/OLB7GXoeXZUB9duQ1tiDuX0Yyl+I3SpnQAwpo0Lo62XrXDRdN36lkuu1o7SavmiUjtlvi+eni/jASywhJ85ALjq5BBKyMAPMT0MuzLoGSouUEvMk6jdLqnsW9AzDMAzDMMyG5+jsN/HU1D/h2Zl/DW2XJIlbreZ6YuEl8dTkFzBfPq3epTTX+rQWA58WwdnBqaxdnHEG8wcwmNuPvb0vROu4xVA6jsVfs/D7E26h94pPWlS4ZPBHsavnxmBpJgNi6D1J8YzRrsgkfF6MHX3+mjCXboPgpmuRLHzDImzuQ7blfrfdbk/HNa3IpGBs6Yax3ZPsTr/+5UXI5x6F/P43Y4psz0IcWeeJWScgf/PCgp5hGIZhGIbZ8JwrPtJQNs6PJNb2uoW+NUuqI85JeKc0l3k9oZ2rfeEKDOYOxJifVBb/g0M/hh0916NVvC73Fw+8KrJ9tMt9kIXe8lSQIWEGws8Kqw7w9OkI+rRX+iRTtmKwYMWB63HhA3kYu/shIgV90FiOuzvN8UG7Zn1zoRxeZHkR5sMfhzwxYyfNI9IBCx9oD45X/0ABojfnPu+Mdv2rybLRC1EBKvdED7wJ4Sz3DMMwDMMwDFMjuYU+yMocl909t2A4fzG6M1YteQfdcq/Tn9sTy6IcJqblUgVydskSXt548gB0l3sS173ZHaHtKQdA1AJJUL4CvwR+YTkF9B59TztluOO5m9GAi7YI1cPCMymIQpxEbPpgfkpaatb6JTvxXNxnMeBEzjwALE1BnrwHYrfjoaHVofd3NQipNS8b9lUylIguhO4MBJWqo+uUMiBFMx4INrX0+Po22LCgZxiGYRiGYZhNzeHpf8H5xSdXwOW+Tld6i4pt781ub9gXlJVet+I3VctdSpjHp603VQnhdY0O6k8TTSSuyfp/4cAr8NzM13wT/NE8K5LEaTNZ7lMN+wvpIc+h8UVcg5hvhqp9v8vaIkTsbo0Ygt5Li4LepyyiNQ932Tq5nII5RqXvyCOEPBDKbZONJOLFngG/ySVzC4hT0WCTwi73DMMwDMMwzKYhKFM7Jc1LIuadY5pJiqfTlRkOFeSXDb0eFw3cEZjJPozAOu3LmtBbbhTisQS9PYfRwqXY1XNzSMWA5gSXYXsDSDtWn3ILHOj/IXcbPyEbpBPbIeid8Wxh79qWCNPnfVyR3yq6hd4e/fiwvThi2dqNC3TxTtvreR0aWDHDeNCNlQkmsjHFP1voGYZhGIZhmE2E/xf/sNrq0Rb65gV9lLWd3OuJirmEI7N3q9c92W2x+nbi0MPKiiGmu73VX30xZLEyqe/xbd/KdanPXSJj5JExupFK9ca00PsIN7+mmTaUNmvKQu+9Ll5LevxFluQYjddP/ba2U44AkdGrL3SvgA24nasCEqg+B6T2N+5abKLKwzqABT3DMAzDMAyz6ak2I+idpHgxhasliN1t49Z239Z9JbZ2XaEs3nppu9Dxgiz0eiK6BEbLoLkG1oNP6latYcSSKQELCZOLPh02tqXYbmNrT13YUxk7l/Xd034kRlZ/90w8op1KrNGihHcM7zV6AsAlCYR9EkGsudzHKUIQNbKZVO+32aQvfSz05qOAeQTIvNTddIMKena5ZxiGYRiGYTYNQXHlVZ+a8LEt9DFVkZ81Pk5td71tHDHvlL4byjdaKWXFBEqaRTiJoguaa1CsPv0nW7xPojERm+pbysCFBKmfX4TLvejPQ3RZ98XYNwgx0h08J5W1vRVB/zjVWQgQ9N5tVI3h2YTjhY3vIAI0tWhKdKca1hziHiva4gIvA3oWaLK+/TpkTQn6L3zhC7jhhhvwwhe+ELfddhsef/zxtrX/8R//8dj1JRmGYRiGYZiNCSVvO1d8tCHuPYnLfS7Vr347fZgy3mKAX9b6uBb6JFw58tO4sP/l2N59bcM+87lJmOcXmupXF9A7e2703a5jXZ8WS6/pr+eWVTI/ytBvPjeF7rEEFvMYOoAS5wmttJ0x2g1jW4+qAiD66vdOla6rvUFCJgMEfSvXKSgpnm8ygeCE+6orb19rRT/JeBZ6GdKF0Vo1irXKmnG5v++++/DWt74VDz74IC666CLceeedePnLX44nn3wSvb29LbX/53/+Z9x9txVzxDAMwzAMw2xuKCs7ic1t3VfVtlVjinKCysstV2eUhb5UnY99bNrIoWQ2b6GPSy7Vi9Guy+I1btLlfiC3t6Mu9zppeyHEPDNn9epk6E8iNpMYjh0oQzsJ+d6cyzAoRrsh50st2I9lR65TMy73ayN53MosGhhbZ2GesRbjNhJrxkL/kY98BHfccYcS58Sb3/xmVCoVfOITn2ip/cLCAn7zN38T73//+1fgLBiGYRiGYZi1RqnaaJGeKR2PHUO/o/sGXNB3e+19IW1lpqdFgSSZ8VfKQh+Eb2hAXJ948tTWRK070377k+IRN2x9B0YKBwOT+yWSgc146jpe/95jXe+9/ZKr91yEMI7jct/ERGNhxDhWrlFt3jgvkeS+pjamhX7NCHqyoF9//fW194Zh4LrrrsPXvva1ltr/9m//Nt7xjndg69atHZw9wzAMwzAMs1Z5ZvrLDdu8Lvdhgn5v363Y1lW35nenR60+YCYS5CmRXVVB70tc7SaB1Lzmju5y9BVtL1tHpI288mpoi2hsxkKfuA2d66MAHrMT2sW10D+SQNAfjNnOmU9Cl3tFY1k+MdwFY69fPfkmkfrgMc49aOFJ9AC4gD5d2KysCUE/MTGB2dnZBtG9bds2HDlypOn2Dz/8sHLN/7mf+7kOzp5hGIZhGIZZy8yWTjZs8wrNqKR45Bp/9ejbcOXIm5FJddUWBZK4zOfTjYKoEy73gfiW8Y4vuNNjdeHlXINwK2m0KzmJ9sQYTVyz2JZc0cLCgb4oFJY/wG97MeYYffGn4zu8EeGOEHAgeWjkOhWtLVto3wVge7zDlKfHWskJsMFi6ItF6wHO5dwrcPTe2Ze0vWmaeOc734m/+qu/Utb7uCwvL6sfB1o4cPqjH2b9QvePVor5PjIbCX6umY0GP9NMJ/DTrFWz7HrOKuZyoLZ12uUMK/52rnRGtTVlVdXw9h43mNuv4tjJNf/I7L8pAZJGD/LGUOMYUqzY8y59SrI5nzeV/Z7KvfXnAoWbIdK1+aeQq827J73D99qVzSVlyQ+6rl3pEVw08KrQ8/evIGBtS5JBP+7fFd1zw6RM+j7H6HMyaVGn1mYZQmXlpzaU1V7U3ruPNX22Vxq2BZ1HY7tKg8eJ1Vg7F9d57LCFfcZuUl94ca6T37y918+5DtacLKGsjg27nz77TNM/5MA1h4BSixLO58e6Lo3Pi3avzEvtkIj4z8NqEnd+a0LQd3VZK3y6kHbeO/uStv/oRz+KW2+9FVdeeWWiuXz4wx/GBz7wgYbt58+fx9LSUqK+mLX3oZiZmVEf4CSLPAyzluHnmtlo8DPNdIJyudH6vlCZxVhlrPZ+ujKBctXfSj82Vm9HLJnTqk9ZWcRMZQblivu4YrWIwcxNKqO+aieBQmkvpmemG8aYnZ1DasHdf9uggfVkbqZEX8kteMwKMDc2hv4J09I+43OYGal/9vo9Wfx24hVIiXzDNek1L8ZklVzN65TL4efVIw9ibrKMOQS36140kfZEQ5iGlbC8IitKdBOlUriHxdJ8GctmdCmzdEmi275GC1NTqCz4WHSlRL/dpjhdRnnRapNOF9Hba012ZmZc/e7vd0++VJoHTbWnx719aWka+Xx0pYWpqfMYHHS3K5cXMD/feA0L8/PI2ddl2nW/cuq+ClGBKJVhmCSETVSrJZTmy5CFaRQK1himfXxxvoxyec71PFTSVIRvHlvL5PZusThTRmnZMoj6kapI9JQkUtUqDGmqsJWFuTksLjbOXz/P6vIysiT6KYyDFlHs+768tKSe366uOeRyZYhKRfVrHXQE0hys9TE9OaXGVsfNlrFUXdul7ebmnFwM60DQDw8Po7+/H+fOnXNtP3v2LPbv399U+69+9auYmprC7bffXttH0Puenh6V+d6PX//1X8cv//Ivuyz0u3fvxujoKPr6Eri4MGsOa7VRqHvJXxKZjQI/18xGg59pphM8d7Yxdj2bTmHLyJba+6W5bswuNLYjtmyptyOKZQOnJ7LIGBn0dvdgci6rMr07bvxduQK2DG5RC1NHz1GfEl2pLvT392Bqzj3GQN8gtnS5+28HslgGTs8Bo12q1rraVq4C8zPuhimB/GAfMFvfPjo6qD6Hyto5O+Vqvmvrxb4u9mJxL+Zmnk40x6HBEQzkws9dlmeBRU+x84xB5n+IahmVqjWXbNb/3jlk+woQQ4V4123JElLZwR6I7sZ+JVmU56zrkh3o1urTT0MIS3OMjFiJE4U44Z56phfd3f0Q4rxnexeECBbC+rMohDskOZvtQpffM1TsAexn2vsMy7lJZcEXIg9p0DVMIZXKItuThegjbwGrkoC5dwhYqiA7VLCeidlJp5QCMjt7UTgDZIqZ2jOhrodW4q/h2i1VgOIsUE1RnUCVQ6K3twe9vY3zF+K5+nG5LGRJZWa0xrLHyxcKKKhz64YQj0Kms6pfdYz5A4jeK4AFaz5DQ0PAon1v+/LoG05Q9nAVyOfz60fQEy95yUtUCToH+gPy0EMPqQz1zbT/0pe+5GpP2e/f/va34xvf+EboPMht3+vKT9CXCv5isf6hPwB8L5mNBj/XzEaDn2mm3fiFT5P4dp6x8cVDOFN8IDDM2vssGkbKaitMSFFVr0cLVCZO4vziE9jVe1PtGNonya1eLGOkcAnOLj6EqqygYhZrfXXiWa/aJd5wvghj0I75F/5558XEoisq2ViuQnRlLbdkT1uSYMJnvgaJs4ThySkjHXnuJolI73zV4gld2wgpkzIotsI6JubfFGkYtXOm9n7nql9Hdd61NuqhsF7VLob7oljbhc92y0U/dG6T5yDMpyFGfBZUhAE5cxSYeBrY+2KIVIaiOWrXznvuVfVgCsiTww3zM5TAt8ZI9eYBrSJ41WlHzh90fRyBXbse/s+H3/V1ZmfNze+Yer/uZ0DzOhHOfaVJUsL0IiSerrfKVSFtLwtDG9v5/8xaJu781sxZUFk5EuGHDx9W7z/96U8jlUqpWvMEuc/r4j6qPcMwDMMwDMMEIWvSxD8LfhhOIjty/a2YVkgmZWM/0P/DqtRab7YxSVcGPSoB3DWjP4v9/S+t99Wpr+OaAqL67Sp+3rdsHRprqpdt2RMcvt6W5H6JSo75TIKueS7Vj0J6JKB//9fxJ9jcvMKT4vlluSfGw3umPAeHHoB85v9BlveSz3LDuPKJz0Ge+z5w+nvB/cwchyyFuJqrCxUjdlvFva8WMuDGZn1u2mrOc2VYMxb6G2+8UVnR3/CGN6BQKKgVibvuugu9vdaSECW702Pmo9rrkJu97nL/ile8guvSMwzDMAzDbGL8k63FwxHhZOUvVW0X3lSvEqhp4XaTfd7IT2Ny8TDSC3vqlkGtxNZKZLmXc8vKtd5xvXfvJFNro+4xpxYh0kYCIdeEoI9TaixiUSGXCgmJdSn62JMKepOQsOeriWevqsXNyz47sd09/vNcmvYfdfYE5BN/D6SywPBbWjo/57FpDxtfdG8KQU+89rWvVT9+kDt9kvY6UW72DMMwDMMwzMYlnx7EUsUdC+44TVO2+zAoU70XQ5W/sjKZL9uJtXJGo1GJ6MlsQVdqBGPFMV8Rv2J16KtkivfZTsIsn7Zim51N8yXIhZK/zApYCIm7MEGZ8ilZoH6MnF+GnFqC2NYDkUnVFyEoVt5nvNjyr23i3NOtyyqszyY4w3q87SFUwp7TmOc2c8z6rRIzBnkKENttj4FGzwdaFJIzSzCGClbYA1oh2XXwn7EI73PjValb24KeYRiGYRiGYdqNn2gnMU5W+vvO/c/A4/b2vkjFvQdb6E2UTMdCX8/0HYUu4ldM0FNcdGBdPk+JsqXobOvwiWuPQ8boxnJ1xnXuJiXvI8YWgO29kOfmLUFPbfItyJVWLfQtudzTORZWSNAHDeMZx8hobwLc6tU5U7tr/Xdv6YYYyNMDn6xu4EohQ+a0QcU9C3qGYRiGYRhmQzJbOqUS3pV9ypWRGDdRCY0X3tFzXaQ1uu5yH1/QOxZ+b19txWvOJPf5IK3jCHpqQ/XoyZofRFAMfcyFiUJ6sCbo6SiyzteompATxZqYDxwvro40mhFz7VJ9xwO212u+B0PeHp6SZWY1RLQGWam9cRQlTx+iOe+EXDo4bKVjotn/msnZ45DyJisD/9RhyNP1pOmbhTWTFI9hGIZhGIZhWqFsLuLk/H0o2W7wj098DueKj6jXlJBOR9XdjnC3D8JPvOpx8dHHa4K+U1/HvVngrHT7vk1VGTaVCT6GGgvqI04iNSrplx5VV4tc73OpHsjzVrb/GsVSjPHiKvom1GXbLPRhbaLa7fE5zJtwrwn0RYF2CW/ZyQO32b+3eiIbtDeVZWD8CWvzU5+P6G9jmujZQs8wDMMwDMM0zemFhzC++BQuG3pdg2heaQ5P/wuml4/ixNy/4+Zt73HtM6XZIECr0iMeY+JnVU9iaXfF0HfSQh9XQDkW+qazzlsJAmNNSwhcv/XnVBw9PS8m6oJej+Ovb/TPzB89kFecr0Sa+7iCvkUiLfQrR7WjavICALQA1B3ebO4kMHo5NitsoWcYhmEYhmGaolRdwLHZb2KhfA4TS1bt59WALO1PTH5eiXkLiSOzX3e1cRKx1ZGoSs21OwF+VvUklvZViaFXhuEIMRnLQh+wWVswuXDglaFdZIwCcik7iWDElBzvgRUrmRbnGgQSZ15B5ex0oubgPT4X0MzTzrOo5T90wvOn9lsjBHcgca5DT0QCP4YFPcMwDMMwDNMU8+Uz2rsVKL8mpW/c7tniI5hZtjN42ziu9nUaxczp+Wbjbb3mX2fb2oihVyLYK3rjeHrHOYXARYH69R3K7Y/RUX1aoYTF80cJzWaS4uml+qrmKrjc7wmYrPS5BwdtC/aumNMLy8jfAi14djCtw4KeYRiGYRiGaYqKlmSrWff1uJCQf3zyf+PRic+4rMHW2M1Z2ieWDjV1nKo3b+RCSplFHd/hGPpSxUevUdm6+kYxWGi0RrdgndbviX5+je1Wy9Ia79zoPgrK4E7NW8mwHwiVTzwRsn+Hz1y9CQ2dN4PkDwEE5m/wXmv9c9NGEd5MVxT7XmMlngkDG5WNe2YMwzAMwzBMR9GFdFXPoN0BKCP9XOkUFspjWKrOYrVJC29JMtGcy30nYujNcMOw6M7CGO1utKy2lBRPWywIkRgZO88C1bk3T85YWfU7RZMJ7sTeARj7hyBSSe9NmDAdiju6Z7Lk7XDAPcpT/wg5fzbh3Dz3rmMLKzEudGUJkFqCvliEz1eaPvkXXGxcLwIW9AzDMAzDMExT6CK+bHqylbebDhrx9KzzcUkbbkGfxNKuu9x3RGj4JpIjC717yAangjheBrb+llRiThunN7uz1nmYt0JP1spcbp6ahSw2V2Ugvi5u7toqK31iMR/1kA77bBuxM7mTpT2IXvvY7fXkcEszkI/e2dr8KqsYk15ZtF80Owef484+FHEMhWBgQ8JZ7hmGYRiGYZim0N3sKWY9JbLY23drR8aSaLToVWUZKZFpuW/Ktl42FxIdkxL61+hwEeul44nwgiq9OQLcmWsTFnrz3DyMlFCCXAwVIEYskVlID+Dq0bephHdENtWLUrVeS31Xzy0qTKEvGzPeOyaiPw85s+S3x/O2vWpOFDKQi2WgO6ttDROofuOTt8JuAEcj2grbwp9s4UkuTno2mNFzXa+id3kmooF+nzYWbKFnGIZhGIZhmsKbOf70wv0dG8tdFk1iYukw7jv75zhX/EHLcdnk9j6cvwT9ub1JDqq/TKiCXDHmTcydztc8OxcgZFULa5xCBmK4q3EoZ7resm5B7u+6tZoSE563Fj/kpGNptSikB2ulC68aeTMyRn3sofyF2NZ1tXK1J+t+O6DzQ0rEz1vYRsSuPhgXDkOo8Z8C8GiIoL8gYJ+IFSug8hOUkiw42ckj5055NncovGElkuI1+xkX9E9mQ9uxWdAzDMMwDMMwTWH6WM07hTsRnlQ15+n3czN3Y658uuX+Lx58FS4bel2TVvaEgr7Vr+Bzy5Czy8pa7ovp43auBJHHQu9NtBYg6EUuFSjw5az/ogIJ+1yqv96HvQCgXO3PBsw7KSL42jdsbbPmVG75Bj3/p+xEd3ROQckZ6Tr4hRc41zG8YoKKmX/urmQT9ItR10XxGrbEyyN3Qz731ZAGSQW/gY3Mxj47hmEYhmEYpm1UzCX14yAbart3DqllejOl6bL+ypAEW1sKVyCfGsTBwdcE992E9U+3yidNbKe753uz5ccioJSbKus3vWi5glsD1Y2nerU0R8+Xq/Hq1FM/tqVfdGVcrvlmiDh3XxcBOWnlWSArfdsQMcvWdYRnPRnrg3IC0HXING2hx7TXJT8ClS8hKO4iglavWZLkgz7bZHUZ8uyDkOe+D1lKsvAjE27fOGxc3wOGYRiGYRimrRbyB879tRLWN237RZXY7fzikys6vsNs6QSWq/WY2WJlwveYm7e9J6bYbsYVuXmXe+KigTtQMReRTw+0MrSbYhnm2IK/27lL5Ilk2oe0cTZV3x3zdBuuy0pqK6/LfUfEvSdGXVnpgyZDie2eWUHbqs8z3SmX+8SEPAi+5flaYH4akMNr2iOhVVjQMwzDMAzDMJFQFnsnMd3k0jM4PJ3QBbjFWH0a0+Ho7Dc8+xsto/v7fyi25bwZ2aBb2ZspPTdSuBhtp+TxVFBz1JRMhJ4Ps9C7Fgbi1nR3ledTTvexjlPtc2nI5YQeIMmG6ABB803Zk0t72gQ9N8nVp8vLhK61z71sNdfE2iGgioMP8swRIDcMdFnVFTYiLOgZhmEYhmGYSCpmPT74memvrOjYR2e/pbLox+WigVdipHAwdvt8qi/xnFqJoW+dkERw3vcul3snhh6JLfQ1CzcZedNxTfRNFoIngpLdefv3WuH1TP76+Ctyi/wu4H5NcuU8gj6Oy33coXXru7+gD7fQrxUTdrOu8zK87v0GhmPoGYZhGIZhmEgq0p3RfCVJIuabSTq3s+fG2utC2qkXbsS3Pq+0GBIxra5ey3rNQh/kch/Qlyk9yfXiTrMFqZFJVqItbtm91imFJL/zQs/SVu39hZ79qRhJ8eJeb91CT9c9Ioa+ndb6JJc9bfhMzV3BwpcN413QfljQMwzDMAzDMJEsVWZiCeJ2QmL19PwDiY8zjPg1py8b+nEM5Q/U3l8y+GoM5y/G80bemKBsXWtfqSVlrU/qXl47OGSfbllHo4Xe2GLVkK/hqqmuQcnzdEt/whj6tJmFMRdfkBmj3QlEoh76IDocQ0/n8JD9E+d+ecekxIIXxXCWbtVCH2CNjxND3+E1EZE2IPKngUobS1zKGPkhInatZ1jQMwzDMAzDMJEUK+O+2wVS2Np1ZUe+Wo4vPoljc99OfFxKxBf0LhGoLPQDuHjwDvRktoQfp6uDFsQiZXw3z8zBPDYd/yCXAVcGW+pdYt5nu15fnjaPdkMMFRr7MQy3hT6mNndyC+ybvgHGWLzM9mKkC2LQZw6BY+jz9Ar6drvcU44C5+Tn4swuYpsj6Ac975sgRgz9Wsn4LtKLEDJggTDOFGUzK1sbV9GzoGcYhmEYhmEiWar4C84tXZfDqLkOm21NvFWseLOItyboLxt6PdIGicV2WNfbY6GvlZhLdFD9pfncJORSBfLotDvDfW1yjUK8NnPPrRKGgDHSrRLSuXdope7Cyts1Dq7+TclMAjEl4i+SiDCX+06IN/1enY7R3ozY5jynvQBoUewabe5Uu548KPLNxdA3meXeu8DVEUKfHz0swLuvu9H1QkTNd20sYnQSFvQMwzAMwzCML/PlMTw89gkcnv4qppaf822TNvIQIuVbL75VmhUXKeFX8xvoz+3B9Vt+HiP5S+pjNPl1WM9s31IMPcWnt4IEzOPT7pryusB1hDiJ/jk79jsiHl7s6ffZqB3jmXPQIo47z0A8arc8xgF0ToGJ9Dricq8L+jiJ1nzuiasefcojVp2FFJrrpQCel+DKee6Bfk9Smfgu9yuShyCmoG94TdeLnimWsDqc5Z5hGIZhGIbxrfv+6Pin1eulxanAdn3ZXS5xKyXFW8dLaEZCMFy0NynoQ2LoaTx3rHWTgt4Vu92CwKg2IeiTeEGEeX3rlyGbcl+jrgxksdwYN68s9DGHbkZE1w6JcWzF9Hiwe+9Du8WpLtDjhBD4XShaLNkHoCfiWNGBGPqw5HMJPCO8tDO0oVkPHxmxWBFnMWOdwssbDMMwDMMwTAOHpv5frHa5VJ/mch/fQl+qLuDBsf+FY7PBMfJJLN/92T2112lB5cHCMNrqcr/isbmxPd4pltpvu/27J2e516cMiF1uq7zY0RfbQh80H/f9S1jqLk5zbxs9J4CYBcTZxMOHE/RsOzHwXoIu/rYYgj4hLsEatOrit40S9ZEFP7dyFvrYLvdtdJefP4ONCgt6hmEYhmEYpoEgF3sv+RQJwboIMCMsYVWzhMcn/hEPn/84yuY8Ti/Ez2I/rLnK61w58mZITQhEWczb4S7vstC3ohabEC1xD1HauGoGimYVM793AKkDQyr7uKuJV9iJsDABCVk1VYI/t/u9X4myqEn7jBf30NqcqczePARmQ0R4FDTxokcEm2vX6Vn/3LmyvmsPjGubPnctr8Rqu9yHehG0MmQVGxUW9AzDMAzDMIyL6eWjsUu+kThWLtq2lV76xg3XObVwP2ZLJ2DKejyyKaswZWMZMK9QzqiEdo2QlT1oX1D72usmY6tdiwKtuNxrKEFciiM8Eij6gk8+gWZOWbtOJN6905EnZ2CemgWmvbHlCSzurnGaMNHXYuh9LNSh95mevYcBHNO2kUX3EQBP2q/pnP3uzQUhc11Bz42GhTQfYdxE2Tp55gGYj3wMsjSPTiHnJyBP3Qtp6lUE1J4EnZhBO+ovN2aSexb0DMMwDMMwTJ3jc9/Fk5Nf8N23p/dW7Oi+wRU/7xW1FHsfBIn25QpZTd187+yf4vvn72w81iPCMga5BzdCony0cBkMkcbevtsCx6+1b0OGenfCtxa+UusZ60/Nwjw6leiYUCgnXibVKGbVe5nMeh1moS+WIZctsVtLvOfE4jfrARFbz2sNXRZ6+3esi3XeTnKnZ64/bv+m8mpHNVHvhVzng+7/SipIj0V+ya8snEx84eXRfwOK48Cpe0KOSTLPxnnIR78CefxbwLnve/R8kPv9xs9cnwQW9AzDMAzDMJsIcok+X3wCixV/4Xhq/r7AY4fyB1wWeN26bYhwC/2R2W/g/nN/hemSbgWts1ydwfjiUy7xT5Z7nUyqLuhH8ge1PQKD+X24Yes7saP72sD5t9e6vpox9DEFjS1wRdbvHB8H8FCA1dlDLm3d64DTNM8E1WSvC/pQYe+qH5/Q9bvWrAoY5+oiPuUkzPPW6gvtRBOL3ms2F5AILyzr+mpZ6CXkM/83ok3CKbczqVzQ81s837RYl3GPqyxaPxsIFvQMwzAMwzCbiPHFJ3F45i58//wnEh9riAxGClROC+jJbPPuDY2hP7vwMExZQsUM/jJN83IWHR4499c4Nf891/60qNfkHi5c7DO/1IpZ1/XFjBWp3a3jaJeoYR1R7GuhJ4FKYQ9BYhwqvl4MdUGM2Asp+jmT5d9valQer6gJXxl9bVzx+05zv1CBUBYAjNVFd9pZqIgj9PQYeCf0wztvaY/hxSml5kf8MJBmkcVxyOpyo0hW7utOI3tfOYaQte+xnD8LOXdK2x73c9LMZ0F6PEeCEv01vqwR4zbLasVaNKAfszHEZ72yBjI4MAzDMAzDMCvFbFl3K04GZbPvyWzBNaM/i2yq270vwkKfBIqvr8q663Z9jDSu3fIfMF8+h/7s7qb7d1vlm02K13ofcaztKl7d8JTac45RWexDjneEcsOCg34MCZsJAGTdvhBAveQfZcBXWfBrGzTBFXLK5slZpC4ese3zMa4NLQ54cwc0k+WenAhy5P6fguhdAoq5JhZdyHNl2EekB4UoUDtvmcTL7GtaD0npBEp0P3onkO2BuOR12o7GecpzjwDlhTilCVToi+q3Q3bgUGt64iSRotZr9MBV/wWPdQ4LeoZhGIZhmM2E9oWZMs5H1W33Cmoin3aXONMFblgMfVz8EuQ54+dSverH3aZ5Qe2cU1K8cfiyXFWx5S4B3CKyYsJ8bhIin4bYM2BtK1UhncRzXoumM5/enKojX5tLw+XRjyFh41Q0oHCIi4InlPgyxxT0uVSj8Tt+EL32VkLsXoYwuyHSZnw3bJdQfxbASZ/rOhMyh7xH+NLno/Ez0namDlu/KWFd6OdOQj5neb9EQtfdLPtvbxeht6XZWHkZvd11DhsnDp8FPcMwDMMwzDqHhPnhqbswkrkEw32Nrug6usi579yfK0Fy87Z3+8aSXzRwB0YKF2Ni6XCk8K8lxWvRQk/J8Xoz2yPFt24hT5LhntBLq6VEvMWMBlwu9wbMI1ZOAoNKwOn10KOo+FhTpbQsygulmhu7g540j8q0+VXjUoK+RzuvUAu9Pn64SzbNScYUeHKxnMDlPtUor5rUj+oxrIUaqAloe5+xwwwu9Wb58/SynEAmeWPoVzD8wtDmqD0I8RcyfBAB1uswl/u2iv0m69DLFsZZ57CgZxiGYRiGWedQKbiBcyMwzAXIA2WIRPHHEhW5jIxoFMUk5onhPLliR7vjt8NCv1iZUD+Rgl4YuGrkLTBhIm3UXavj0J/bjdML99v9tO5yL3TRWjZp5SNWHyTclWU/iFoZNtv1ftYThtCfA8apVrqHsBryVm8Br6ttywMoz84DQ7onQ1hSvIix4lI7xu8ZpPMc16ztlsdDcPumBm67oJeTthXeD0PLYzD+RP21b4Z7JLDQ+3jIxMxPEY8wMd3JbPayg32vHpwUj2EYhmEYZp1TMZeRNS23Xznnl4k7nB+Mf9pltW4Gx0LvzUzfTrzu8V2ZERXTn5T+7B5cPPAjuHr0bR0VcXJmCeaxaeU6798gKMGXT9Y7cr8/7/ZLJ08AV0I5ByNK4Dcr6OOLVVmpxo+hd+UHqG2McVzg6D779XtghyyoBHrLzWdZWwELvTz0+eCd2udBLmlVKxbOAYP7tU58ziXo864s9H6CPmnVgRAC/9aEHBxZtk4GHej/mi30DMMwDMMwzFrBnd096otq4/5SdQ5lcxFZrSxcUoT9tdJsQ1K8dse7eyGr/HDhohb70DPl+wsR89y89WKi6K9VvPXca9ttjaiJDloY8JmE/932zWpvv8yngbwRIHTp3lXs37Pko+EWWa41jAjl5uyP4XLv6jdvP8u+h1EpOgnIlG8ZeuvZ1vIKZCoh50k8aP/2C/FIIviMVbKX1ucosr3uGcfJaB+Er6BfofOKU3t+ad7vQET3nbD9OoEFPcMwDMMwzDpH2O7uOvOlc0pUNVqwZWBm+VZIGZm29BPHrX8t4EqK16w7cpCgd4RMlObwrS8f7nIvdvRCiFKA0KXXViiCBd3LHdrBAeLeD1MiU8rFttBT7gFUpYqntzb5HTdvX5Q+/9rxapNaCbHe5iswtksg0+85z4rn4jYpENWAzo++bYXQhLf0JrKbP9NUlypPwlp3uW8yrEc+9ilA3IiNBrvcMwzDMAzDrHO89dersoxHJz6DR8c/XcsGv1Aew5OT/4SFsn98OsXR6273e/tuSzSHlLAEfdUvQ3abSCWMle8kulA1pPaVeilBhvAgQV91BH2EqLTFb+N2I2R8b2b8MHHkxJxrhyZgYIJK18WQG8IOH8jGEI1Cm3PtvGSw5bpXQuQzEYK+3IKgJ/RzXLlFJ3nyu/U31dY/d2KkuzkLfeI1jCB3f9FCUjwZ3aay1PKiwFqELfQMwzAMwzDrHJeFWAKmJqor5hKyqR48Mfl5VMxgN9yquQypiZ4thcubE/QyeQx/swsXq4u/m7U5toDUQKHRYm4mEfR24yiNUjdG1zdt6Wm0bjcYkL2CnjrymyAJu0MAei1LvZ7sL0ZMtaCFjkiXe5rLlO0GT5Z0W1R6518TbN6L4u3f9JyL017fNuapHd/sM+sn6JNVXPBDVkvAsa9Dln0SHuroIr4NC2liwF4w8y2d0KFM9o07A15HdopE2zPscs8wDMMwDMOsEXRXdBLlrjRnsoSF8niomHfa6e7ySePVDbv8W7td7gdzB5BJFTCQ24e1hC6avQKaysxJu+Sc1SBh5zVBHyE6POMa+wdrLuvhx3gFfdAEl+2fSQBbVfy9nFuuW9WHCpCTYc+VQMqOdw9mCTDO2osHxC3+c3Ysqr7e7WEi0HnvnSfVmndo1lrrl8G/NXkll6YhH/7r5Ae2wUJfOw/f526FQglkh5PYle8htw0gvxUbBRb0DMMwDMMwG8JCb33hlbIKU/vyWzaLeHzif0f2QRZ6suYThsgktoZ3wkK/retq7Ot/MdYiuiu5y+We5OHx6XjWzSCREtPj3ruQECjma+2qgPgBLZPos40paMsNrvxRgp7CElJSt4T74ePe7cK024QlfvRmtfez0LeQJC6QGCX5kjL2SHPHUWb7RIQ9XGZnLfQNY+vPVQdd7iEhsADIBYiWSxWuHTiGnmEYhmEYZp2ji0uqAy+1TPPHZr8dqw+KoXcEfcYoNJ31PU4d+pu2/aL6Wams9u1GLlfQda4LhTK5iBNRGd/t47yiI0iD1Fzx2+0WTKKW3LhPadsmY45TcSfboznGEHkpM+oekqk/bPx5QNCc9YUiGRBCQL/p+fOz8porJOhbHGc1y6kFpSRoN7VzpPAKcvPXc2Nog5tVSPqJKdYTwTH0DMMwDMMwzNpBK29G/2nfbefL5M4cTdUsoSwtQZ82rJr2zSwqSJ8v1t4v5HGFupPQb61hnppFupTC3so1eGr4G9FZ7oWAoJtydBpmb07FuSsChIo0yZLor1HEQB5yeqnpOOPmDa1Vt4XeSdwX+VTEEfRRTRyh3niov0XeL+nfDNqPby1CrH8SnkPTDxV9bjyfHe0zIZ/8HJDOQwyFlZgUzQ3tlydgncIWeoZhGIZhmHUKZbNfqsy4ktnNlU7h8PS/NNFXSbnr6zXlSYhTzLQsVRMI+kYx0Gxc/Y6e67GSqPNdrkRbBCvucxRRid+kRJZCz6tSiXES7FHt/TC2dEPYCfdELs6iCA1a1DRPK27TVfeYpMMjhBztNSJj6A2Phb7x3BuHcdoEje8V9PR+Ae1HH2c0pKa9dkR5AXJ5LqTBGlgQaMFLQOUAoKR+4a0Ctvvcz8oS5NijTc9nTV/nNsEWeoZhGIZhmHXKY+OfQ7Eyhi2FK5DHiNo2VzqDYtZTbiymNbwm6B0FNV+CecYSH6mLrf79IAGcXcojXc35utzPlnQX73hkjB7kUpRdfeWQU4uQ40WI/jzEVtuKHoNYpdk0zMMTSpw31IuvTcT5bddT782pH3Rn1L0x9g/Vjw3UXrTjIfv189A6lEQuaZUBEUPQOxZ4h2qjRFH742ZG97rc02JSp8Sbfv8OALggVF7JahnygT+33tz4SxCpjF8rrD4Jk+LVUjQsQz7zFSBbgbj2F5oY11O2Lgly87rcs4WeYRiGYRhmHUIimsQ8Mbl8uPX+VHZ86ba2L8a0rC+U0Tvehwunbwmw0FcS17cvm/NYaeSEVSZMzugu7UEEZ7lv7LhRIlF5u8gYemd/2oDoydbGEfTeFvTkgq9+d3nFoXbvRDsyoJOF+4ngWvcBGDKG/dB1+b5vexZ40a9JUB1zZ5/+DJK1uFOhG96U+43nKpdnIZ/9CmRxHDj2b/Ud1eXViaHP9QXuqj3Hzc5BldkTwPKs725ZWYb52KeBmeMhnTQztox5nNyQgp4t9AzDMAzDMOuI43Pfpdzh6MvuqG3LGD61u+NC33GpTLqsahb6ZDYfWSTRZIkBPwu9aSfp68/uwY7ua0P76s5swUJ5LLbwbyuqPJpdLWC5EurWrhd/S2qhj58ULxox3AVRyAD046K+KCG0pZpWMbZ3QU6XIUZjPHOiGQs9LT6QR8f+gOR22jn0ZANOST+ORGaAeG6Z6OspH/kYQC7opTmgvBhDUHZY0NfyPcT1eIjTp28twUbO3A/MRXnrJD9/OXEI6N6S8KCNI+jZQs8wDMMwDLPGOb3wEB4d/yyWKtM4NX8fTs7fg4WKv1t90Nfp/f0va9jWUxrBxVMvRE9pWIl5r4U+9ndr7Qt9mIU+TjK83T3Px9Wjb8X2rmuwmpjHppUXhHl+AXK+pGrLq216fXnnennK1sUvTxexPSpU3Laqiu5szWKvnYHnNS2qROVCiHbNF70GjN39EJlooZ41upCTvRELTpQt32eba1DttVlfSqGyeb79NTy47SulGDyxAJx48vmzEF1a2Ap93qafg1yaqm868W3Isw+jo/i6+bdT7IZckyCvBNfYTQxZLbHLPcMwDMMwDLN2OTb7TZWt/sxC/cv+YoXKjcGn9rv/F+qh/IUN23bNXYGCMYhdc89TVnRHjCetQW8NG2KhTyDoqU0hPRTtxt4JvGPOLqu4evP0rMpsT1Z7+m031g5r7iu1LFfjla1r6lpoffeZQHoWoi+qFnucvAFJhJDAiLhQ3c/QVg2nF0N0ukId9Ou1xgS9g5GGrGjX//xjkE/+I+RT/1hPyHjynuRTSCesSJHKxjDQ+5VXiBFD3/jGxyU/BHXoCgltyYKeYRiGYRiGWWF04T5WfDR2ebeUyIXUlneEOLncO19ykwvImrTy+aIsa4I+tbZrz3tO2zynxfFXQwRAVJb7oMNc5ef0HZ7fvkQJkvp+kVqAsW8cxjb/2GY3Udd/JYSQ5znJVCH6LTFoLUpEuYt798cr3ZicBPedFn0qdQt1LXP74lRrArNnG1YNEv4N4j/4msjxJyM6pJCXZudixmmUsP36gAU9wzAMwzDMusH/y3JUWThDWBbPG7a+EwO5fdjT+0KtR6tPl4XeJ5u5Xyk3ZVX0lHDzs+5RfL4ayyPWnXmMFi5vmOtq0KxTgHMNQ73K/YRKYJZ7x+XesdD7ZZy/36cUGwl2EorTFLCsbS+FnNu1tiRwrOhXAQir+91uISQDxpiEses8RM8SxJZZiC1zMPaPQXTp1vbnyH8lIike4Qjp4IRw/pA1+2IABwG7ioSb8Psui+c9gl6z0HtvSMSiXCBGJnYCPHHBS+ItQsQQu+rvwZP/gJ7jX/T02KpnzQpl+Tc3Th16TorHMAzDMAyzhvGzeHvRLfT+NdGtPtJGDpcOvUZ9GZ9ePoq0yEPYVnMaxxnLz91dnp2H2F4vIydLFbWNYsvtkZ0J+4xe8V0o2NlzPUYKl6iY/fOLjzfv7t82kogRLZa7WRHjuNanDLcHgGktlMjZoJjjE/bvw7YAd7CuoZVUThf7YbHLOQDXa3a+rC1enwmatOsdZd+nHAPthYTvSYguyt6vbU47WR6cNufs+adjZjxPulhE5zVsvx4AMAiAJvRIPEH/yMfrb+gzVdE8MrRa9HJ5pjUhXBisW/od+vdC7P9hyIf/xi3+Y61a+Vw/7+farABzJ5EulQA1/zbRbIZ9I+nfDbbQMwzDMAzDMCtA1WV9j/9l94K+2wOPIsF+2dDr0ZUZrQkJleW+9iW38SuinFtWMd8UR07l7Myj05qYD59iuWq5S/u5/VOteV3EN50xfjUS4ouYc16uIF8Mvnci4zmePJlnNfEXKMKWbQs1JUjULY5ey31QGT6qm06kEghKt2WTFnnESAtVFnyZiNhP1zLMKyXI+tqK94eAlEOQR+6BnHRc+P2vmSwXIb0WYGWh978P8qG/gnzi75ublqxC7Li5YbNx2U8B2d4Q0et+HkV/vk2l89zXRM6dhtSz+0fCdeiTsj7+YjIMwzAMw2xSnFJyuut6HLZ317PEpwVZMd3UaprXBH1Zs9D7f0WUp+dUpnfzRKNFzumHvlfrixDkCTC2+Jh6nU15BEZtLqmWE8ytPFpSvKiv1IsR7tTe8ngqNlkfKei+0/bTtjV9NsQJN+j47UiObMyyn23lnjUj4MyI/iptEvS73G/HHoU8+yDkoQftDT6eLIsTkA/8GeTjn3HvIOt4mIhcojCJJqCFAzNoccMzPxXy4r8I4a4Y4HdPZPD7xXGgOG5lm9crXkwfhXzs7yAf/WTkaYSPHYawD7P/do1eHnOYFXLtXwHWy19MhmEYhmGYTYleBs6dzb6RIGHZrSzxAcfYApr6dsaql61zf+kl63wUxfIYHjj3V5gtWfWmn5z8Qm1fNuVvyU2JDLYUrsBI/iCyRpxM62uLpl3uneOHChC9OYgBy0oqXde+DIjDdtx8GLr1tx111/VniRaHnMUYP1G6ghUJepaBdFXF1gdPw1nAMFqMNu5354uYORo0YJ3zT1i/58+sTMw2LfJVw3NouDLix3G5jyV2tTZP/xNQKdpl6bT+z1sLeViOk4wxydgh8xk+aN/nVERSvI0TQ8+CnmEYhmEYZg2jW+WrslGo9WR21F5nUz0YzO3DlSNvqW0zzDRGJ/dAziyFilHqWxf0qt56UFm1gJ7UeNJQ1v7HJz7XEP8fJtYPDPwQLhp85eqUq2uZFuYsTIiMCYNc1x23Z1cY+KIWN09lC+vlCt3EFHWxudKWCvsB5DXrdhzrbecQhoSxbwxi+0wMC32mRUGvSaXT3wMmDnn2+z3PAVZ4PUFeuwmy0Hs/Sz1b67u8JQy1pnLy6WihHSi8NQt9WasSsWIu94ad50BPvuCDyS73DMMwDMMwTAcpliewWJnCOa083VyJ3KvdkNU7V3Es3wZ60tvQnbEycm/tugqjSwfQU9niLsGm4VjjK2ap5t6fWy5YddejXMVDXPiJh89/wjPX9Wd972hSPJgQXRQvbrtwCz0tfr2VrCU6pEUZr6h08BN1KR9LJWWwp/72RcyNXLBvoqfIfu/MwWyznncOtuujx4AeNf91H29CPO+5p5qWSvL4t7Tt3bY7fn0xrd6wjYsbPdvj1ZUfvSJgpyf/fJruqf05zVfUIpIXFfs/6yRdDCFC0Kss+HE9B1z9Jj/EwqkIYSSopLAx4Cz3DMMwDMMwa4yqWcIj43fGatuT2Yrh2a1a1a76l9f9/S9BdXEWmA121a/HrJuo2C792WUtQVZsbKEg61+ol6tuK2rKJ5Z/TdF02bpmbWQVu56ddE+gKgE94aAZZ2JjPtsM++u+Y42l0nQj9u+kcxYdtsZfaCfDo8z1raDPz3vdkp5zUHtaGNgdMHwbhWIqOuZfpHIQ+QHghvcoN3/55Ofq+4SoX43uLc5Ge54B9eMpe70vITH0gdchaaI6v5KDcY81rd+1lZ6IzwyXrWMYhmEYhmE6RdmMnxU6nx6EIa0SWFIvhaYJ9rhfq2vl75rSp46FPvjg9elO749oi6AnU3OAVb6oWTerRqB3QPRXfbJ8L3os1M3MN0TQt6DxRa8TCpKxY9YTCnrZLkFP18Yr8pq5Tu1c8Ijxedn9QqtlOgcMXABc/kYgT+X1PBhu2Sef/QpwOXlreIgbWx64cKElqVvRxHPSPX4UI5dio8Au9wzDMAzDMGuIU/P349TCfbHaFtJD6M/qmbhlg6CPpv4FmGLfPZvi9dCXowD5Bgu9zlVaXP/GQGjn2koMvXO/yDpNORIaBZXot8r+1dHvcZiresazP6nLuY5zrq2INBKBbm8RMbCoXcMWpYm6DWEW3rSdE8CPbMtZ8aVZgTzjZMBvAxELYGLkoGWd17f17YbI+oS2OJUk9JrxlJU+tlCPed+lUzLR3Y+cpMSOUdAiQJMW+uJEjGtWPwcRJ5xhncAWeoZhGIZhmFXk/OKTEEhhpHAxStV5HJ/7TuQxw/mLcfHgHfVYVRupCpg3MwsnMZ4l6KWRQKBS2bKtPRDHl0LjybvsuP7VRl2vigmkjUaPgYTXjs41X+lF2nSsu02I0pQjYJ6x439H7a/oJCbTEMPzELkgqym5zlveGZ0X9CEx9LEvnJ7HwZ5Xvqz138r8QuK5KQHasTNA/zDE0MX22E/5XKvF4HjwOJx7pB2Tbhg/kCSi1LHQ6xnn/boPdLknr5HzSnCL7q2N1vfKfeRuAUhbWJeXXOJcHvp8rGnKw19GS4jNZ69mQc8wDMMwDLNKVMwlHJ7+F/V6uTqL43PfjnVcyrDEkJxdhnl2DobIKOt6xiiEurmSMFFxtZ465843+5rLfQKLs7F/0KpF7iTF87HQXzTwSnQSSfHmGQMiFf5lns7bfMYSHGKoC2LEyoStrkexDFlNbh28YOY65NIZwHAsk31W/7l0jDJ/EiJX8bHW07aKZ5sfZG1+wLON8hQsa8nb9PrirYid+C73qgRfVyYwEaOxdR5ychRiRy+EMLW5tVuM2XOePAN59jng7HMQt/yanWTQ+izUTmFpHshcCZGicnOUkT6fyA1dHv825Kl72jz94M+huODFwNZrE/RlL5a4/j743cuAczVNyEc+br2+8T0NCztCztIfpPqGhbPJM/uXvZ4ozSCw2WBBzzAMwzAMs0qUqo4IRGwxT6SEJehJzDuJ8ai8nSHS4bbS+RLQm4McW1CLAQ22V9tC3zPV4zKWikwKMqCEnSOineR6fhb6fJosyZ1BLpZhnpgBDIHUhcPhjbVzlpNFwBH040XIqfh5Cyz083Ss89renX3AuPs6+8ye6vyFjxIq6B0RrIsrEvHOmOR63a7KAvXkifXf09YChveWRyyMiP4yRD/FeevtvBb6TEul+OSzj4AeZ3HJlUC16q4n/+QXgfIZ4MpbrRwTxVnIR+4Bcg9BXPtz9jUbiZ1ATVbL7RfzihBBv/2GZD0ZKZ9a7D7PVsC5ypmj9TdkfY/wypCn44UNuY7xCwFIith8FvrNd8YMwzAMwzBrgImlw7Ez2XsppAc9bsBCiXlf9ERri7ZLPdWk9xzvWOgL5f5GcepT3qpxnOAYeqPtrtR15IItAkwJSa70YQTkF5DTS94tkeN6rlBjAwpbyESdNyXCk+H6LdTgSDvJhTwo7ttbtq4dLvfOfE/bJfSeBnpyENl632KgAHRnQsrJOa+f1LZ5LfTNyxQl2sdOAlNngcU5IKOFHVSKwMwpoDgHTI9DHnkM8uQz1r5lWiCj89jmtntGWehLYWEPHhLFbntuvpOpPgld9sLE6OU+OxNY6GeOeY6T7RfWFe/nsIlrJNhCzzAMwzAMw6wAT0/9v0Tt9/bdpmJSZ0onMZy/xGVtdtFMDL2ox9APL+lJ9gBjW49yZ/c9rFsTSjULvRFSGq+zyImiiucPxJMbQJLAL1Ut7VjTMbQoQK7iRoR1u96Xr4QI0RXkki7nluOVAosU9GTpvhrA97U+qIxhybbWE1SnnNyfmxCEgRZ6p0zeDITxA4gL9kLKYSrRUBP3xt4BmMfIij8XcJ6ai3YbYujrWs5jhdYTrWlWYHn2KDB9PjoBnk9cuRO+oijp5xHC0EUQmW7IeXLrj4FoXfCKK34aWJwCKO49DiEx9C6i8gqYTXhXxDk/cwowaNExCBGybyWz7q8cLOgZhmEYhmHWATu6rXjZHbheCVHznJ18ykvVVCXPKIY5LkKz0KdkxmXlEn15S/h6jxkoQAzX47OFLZaFik/29r9CTqFRGf51QZ82II9PQ5Kgd+EImghrvwgvI+eqAQ4Jw6B+0xDZDMSWblvQmzEs9Hq/l9hWce8Bepx8xW6nQx4WMbwsQqHYfMJZSNLvKcU+PwkhbgE0Sz1UOIbfdaQFk8c825rJck8LFpVwsalKm3sFvX3dZifChXqoyKWO7XYLzuJGBNSvE8seB9kGQZ/KAT3bAvpPYKFvmJhsv7U9ziJA9UGgWgYyP+y/X3jv3VT7cy2uMdjlnmEYhmEYZhWgzPY62WoXds5dgZHivoa2aUp2p+O4mQdgnpwJzMwdtD1f7rUFfbpBV5JYN3b2wdhSt1iLwbw7CZ0IFu+GR8SY5xdgjvknTEuCtdCgzTZJcv5sykfMtwO/67sEw6B7tmB5OwhyNfez0HswTKB7OSRrvZ+dzl3GrH044zrPXoxrp+5H0DnORQj6OAkKrRwIDdSecbpeZKHX5uCK0/aLIa+4y9BNPesvTnWrf8xkbiLTG+0S3jWqT8a9r2+P9bvgU2e+KbT+a4k04tahj3h2m4mHL0X/TaBpitBnT3jezVoZ+Cv3b9h0eWyhZxiGYRiGWQUoU33FtBKxGTKF/dM3qte9GMFE4RhkLfs3sLvnFtexZIGPhKz4Z+fqMeYOviJWYO/stTg0/E3kqpQQz8fK3p21YtQdY6RXmIRkudeFGmWSdxLQSco0n27OvkQZ1CkXgOgJq8MeZrltzf02qDyfP7rVvwgIctGmRRqy2Gp9aq+NnVNAoQzRkDQvaNyrbBf2iMSAbXO5j+ma3bSbc9zj8uGCXu4CTBKKdlI3su6GeXSYJSBle7cc/TfIc9/3j13Xn584luXBC4HdzwdOhifPE/17rfJwCvdnQxx4hVUabwuFUDSJ13uhYX81Zh8dEPTtQPiE/KhSeo6HycaDBT3DMAzDMMwKI6VZE/NEuur+spmr9GBoaTeKfXO4dNvr3eXZsoYqsRZJ2WwU8yqJXNlXnNJ/mWoBhq8gj0GIhd715V8XUaWqEvhU4i0pKrEf/abM/bEP0l4nr1AXiOWi7XTu/a1aaK91i7tPKEPXMlBJAV0lW+CTYM3aAro7RNBn3ZnZ2443KV6MC7giJlGfQVyLNUOAXHYL9rCJaRZqJeaDXOqlCTnxFOT5x2KdqHHwddZhAfvFpT8BTDwF7L4VOGOXIvSumWW6gF3uxb22EyeGnrwTohbEdA+GlURsVDt8MCzoGYZhGIZh2giVjyuWz6M7s8U3GRyJ+QfG/sa1zdBEcNbowQWzVrx8fqbfSrhtZ3M3T81C5NO+Me0N4xR9xPz0kkrIFkSXynBP2NZ2bxx+2Hdlx0Lv0yhjaK7RVekKDSCMC4drMfgdxZVovVMJsqhfsgift63ldG/1c1t0aw5yq699Ld8OsfMEgH6tDd2vy9wx26uC84zGsM7WaGW+cQQhzcMIFZPy0Bcghi+t79Mt9K0IURL0T38RLVEYAhYnlUeAGNgH0I/r6nYiOlp6ztUzRhyX+1hx9quFgc0GC3qGYRiGYZg2cmT23zBWfAw7e27Cnt7nq21LlRmcLT6iEtudXngQFdMdcytkPcY8nx5EyY4lzZULlpW9kIF5Zq5upY8B1Vb33a6SsfkLL2knYFPRzKPdQJ9H/Oui2+uW71joPRb+rV1XuZOM+bo5Uz32lRD0Ee7GjQfYseI+X5ld87WvW1cJKGWAHrr2dL/oXg35W+JH54CKAaEu8fX2BUxDiF32mN463rUgZ6wO+vgxBV2Hb6mcOQt5dgrA5W7LrH6fy0XIsw/GdwWPK1YTiFpx1du1N1rCyYOvB058B9h5c8CBnf5MNJkUr2OLYW1AsIWeYRiGYRiGaQES88Sp+e/VBP3D5z+mfp9Z0IRFjCzwEqZlle/PR2dwbwHHY9xxt692UdK7gq9rubF/SHMzd3eSSw0ga0zhksFX49CUZb1MG55FAb/z6KBAUHH/yxWgK+Mx0AeNqW+ft9+Th0Hancze8LlnKRNi3zKEsBO+qUtEArJxLGPQWXAhl/pMAivjagt6lTY+oA3tO2uHBvRp25qBrkvRuk+VEkSm0bNEPvFvkGIb0LUPyDsl+iLGVPHuonULfYKybMKV6E4T9PlB4KIfDT7OVSmhA/hdhlgW+tV6BmMgYljohy7GRmLz+SQwDMMwDMOsCAZmS6dxbPbbgS0ODv6YymDvjVt3BH5KZFzx4p1DuD0Fwmqopw3/RHYCyKV6sbP7RhTSlugnejKekll+QroqVSx9J6xzVAedFkVAsfauRGZxpJLTxifvgJbhvxZmsJSBEJMRc/SO61deMMzKuN3+Xb/GKy/og0TfvXbyucdbGOdyWHEmO63RnnkI8oGvQc5OQJZLkDMTjYsx1Ur8BaKoTOpxs7yPU6WCDtFHXhoAtlCiww7iW7YuZgz9Wq3pLqIt9CLTuFi5nmELPcMwDMMwTEcw8fjEPwTu3dt3Gwbz+7EfL8OZxXttd3tLpHVntmK5OotcyrFydhrhiuVvLp7dPobqeGs2owYLvZ/H/fFpa/yLhhst/y2ghJ+9UKCS5+k10hPpERI5s4B0EtRZLvf51AD5UNhl+UzIMv0OF4RilAQlWWzPhwh61xGe9yR06bnQLdIrgb6IcyZG+9MQwll8iOIi7XWf/WM9E5ggiz8gH78XyOWB5SWIy24C+ke0vAIytqCXZx+yX9F9lA2LNfKpf1SJ6cTWq0NnLMlVPohsT6wSbEGIS38KKFG+jMHOyma/6xTXQh/HEr4qCGw21uqdYBiGYRiG2dBQ8jsiJdK1L6FpK6AahkgrKzf9XsmvwI6FXjbxZb2mw1U4fF04G7aXQSzrKbnHtwB5MigXewc9o79X9yVy83faap4SgtYHepFPUSLB+H2JDAkmfaEmFXNsbWB1fNRxnRRK52K0P6YtWkTRuHAlTbPREr9sX//5afe8vO2WFmKMSYszuqVW1mPun/sqWkEMHmjNgmykLHf8TuC6VtJ9GU/dG75QUSNGlvvVQrCgZxiGYRiGYVaAdDmjXMFTlYyWGX61vozaCwqmZX1uykou/C30htchNEwHtEEjyIl6MkBJsfOKCiDOAzJ+3HNnhYNt5VdECXOtQsCq0sz51hdARLeVjFH0LkVKElmah7z/b5S7fSMpwHQWbQJyTzxll31LdC986tk3S9/e+mtjpRdeEkJJApdnrQWU49+Kd0ycsnUrhvC83Xzyll3uGYZhGIZh2kRworVGes52Q6KE3LwBkQ0u+ZYE0ZNNVpe9fqQ1p/KwTwb3RF0oUa6X6xOatd7aH3KN2iEStNh4Ch2w3hUBUQSKqViu6mRFl1UBmEHiYBEQtDjgeB/4z1vkSwF7dK+FoDGuIH9zALuxNmj22bQrAPQvWpn9lYdCRN9U251Eu+1u76YLMMl6TT96OIeEHD8FdCUNU8m3V8wTWoy2uOwNWLtIYMH2tjg3keAwE1gab27I/ACwpHtYJFxEi/wbIbDZ2HxLGAzDMAzDMB1iYunphm2GTGHH3GXoKQ27tjlWbFUiLkYyuiCoVrwYKsDY3Q9jR1+tdrzoznrEZbrxvZ3czhm2IxZ6j8XM5RLvpd1GP895yOV4Axj7xiFyWnIwg1YpJMQguXLT9jIgphqH6190v+8qw9g5BdG3CKmVJown6HsBXLAKrvXtFErSXQEgW60/JtUqZC1bukg2lkmC+aC7XaUM+cwjkI/EtDJHzTxucjw/0porf6Zr7QpOXRwvjCU4zoQ88rWmhhQHXtnUcQlGwGaDBT3DMAzDMEyLSFNClqt4ZvorDfuGixegr7QFu+aeV9uWrehWYoGMEijRFnq/UnJkTTdGuiEKtpDf3gtjSw/Eth7Pwe6+BS0A7OkPcB9vzUJPsf/CFqIZw20Rl1Nu0euiDaX55PwyzNOzKmu+OaYlJltOh1jS9cUOnxJzo7MwDoxBjMxDDJgwdkzb2epNtxW6p9GdXHSXlFVauioZrBWR3mkkjK303C4A+Xq4gywvQz50N+T3v6FcvRvdpsOfP7k40Xi/ivPtTRRYtUIEkiC2XQcxejmgl6nLeD6Ha4r6sy6XpuIfdeifmh/S67GzGhQooeLGgV3uGYZhGIZhWkSemFHx2rlCF5bT7oRcGbPuFjy4uBPFzDRy1brwoARyQ0u7bTEfIaRTPvs97vGqnNpAvtEFv0EzkTu6/3jCr8Z6Egu9MHDD1ndYgi7JF/h2uNxLO6N9uujevOhkNfdShRg5AXlym9tyrpeXE/XQXLGFrucy5ILbA6LhmMadm9CmJiH66cw9Gd9JfFfK1k+5BOSSLCgJFfNdp+yJqffJet8MTVjoxb6X1t/c8IvKki1SmTVrQZbnvl8rD4gFv/CGDtBKTgH6EMqI+yIiFkV33wpEVDBYb6ypvyZf+MIXcMMNN+CFL3whbrvtNjz++ONNty8Wi/gf/+N/4EUvehFe/OIX49prr8Wv/uqvYmEhTtZLhmEYhmGY+DjJ1/qW3TXXu8qD6KoM1N5vLV6EfTM3YPvCJVorgb7sTvRmd/h3TmKyJ6tc6B0rfNwvsC4rfVi7pC7PAfNU2FoqZWSQMnxEbxjtTLRVjsqYT2ORFXaBMhRacfEk7ocqEZegrO135isjvmILmCbZ0ej+7fV0nvAarUHIfd58/B7IU4e9e4IO0F77tBERz6CphUPIMaD6HFB9GG2lNNPS4SJdgMj4eAwMXRjgir8KJHGzbxerbKEXu56vqghsJNaMhf6+++7DW9/6Vjz44IO46KKLcOedd+LlL385nnzySfT29iZu/9BDD+G//bf/pvbv2rUL09PTeMELXoDx8XF84hOfWJVzZBiGYRhm41CVZZSrReTTltu6KcswNFfqbfMHMeAR+CmRRVX6Ja0LES/kwr6jz5O1XTvSjplvytJeG1a01UIfmjQwzIAq25goK3JxgMR8ycq+Xjv9BYiuSR8Lvd7XnM82+3WtH7p+9QUFie32QgCJOMfdl2LAKbFYPbfC+oMWI0rA+RPA7CTk7CTETluwKuga+NU61xZbfNddIhaUZBVy5lh9Mcp81N5Bn5M2LQrNe0rz9e4E5k613K3o2Q5c9bNAtjde+723QR77JsSOG7EhMFqRn3EWGgU2G2vGQv+Rj3wEd9xxhxLnxJvf/GZUKpVA8R3VnkT9u9/9biXmiYGBAbz97W/H5z73OVSrLSS5YBiGYRhmU4v4YnlCCdOnJv8vHj7/Mdx/7q9QNouYL59FysxQEXfVVhfzaZFHIT3c+pdNj5Xd2N4L9MS08NoJ8NRxoxGxxs2UfvJY6H1Zrna8bF38vir1hHd+jV0e8vr+Zc9xuiJ12g1p264PKD1HWdovWkv2tYSQeN5ur3HYiyANBFxbXdD7LrxoFz/tc33MCuQT/2C/oZAWWkhrs8XbE0PfzmRuomsEIq1n6A9h+40Q1/wcsOc2rDhatv614XLvPBfO3zyfv6dch371uPvuu3H99fQHz8IwDFx33XX42te+1lT7q666Cr/5m7/pOiafzyvRb+p/RBiGYRiGYWLy5OQX8Mj4nXhm+suYLZ1Q2ypmEYsVK0lXX2kUBydvw5aFupUyl+pHV2YUGSOZ4BA5S8gIOx7eeuNp05uLn5FeAMZFw+qnllwv4FCjhSz3oaX7So0eBs0oevcYZKihmGqP50PgPIoq23rdqu5p55x6oIXei/a9Uuhi93IA13oy2q93tPrqytNgK2UYgxw/E9A+yEKvu9z7HKY/f373UXe5V2K+u+0LI/LEd9wbGmLh3YhLXtPW8Wv9CgGRH2iu8kSrY/df0OYOtWQULWHY993JmbC5WROCfmJiArOzs9i6lf4o1Nm2bRuOHDnScnuHe+65B695zWuQyWykP6wMwzAMw6wEVGJrrnQqsDydztDSrtpXrVyqXhc7yZdyin83dvZBRFnT45IyLHGgz6H22uNy3wELPZWrM896kqM1NEo+bM0FHu4M83LJf/FAFIpAaqo+mCpJ59cwyELv7KdtfuETsMUG3XfbCtuXg0mb+mNaZdcsBc8FopO6KqR9gKCvlaurC3b6fMmaUNcuvp8hLjScwvmenwJ63CEvYs+LQo6j+7MneJ8RoR9iutCvLXzCRlyIyIWMRKi/KzH+tqTzrQyCzcaa8PGhBHZELuf+I0fvnX2ttCeeeuopfPWrX8UDDzwQOpfl5WX140ALBwRZ9dmyv76h+0cr+nwfmY0EP9fMRmMtP9OnFx5UOmK0uF9Z4o/0PQjTSGhxtt3x42CSMauQVuLFsUhbJb60NnGu05ZuYL4E2Z+LfV1VIbGE96BmNQ+4f/LMbPS4phlrXCoT6NkSdYT2ipISaK7ghvXMOe/V/tp7e5swG0WkEvQUF59uONYqUafF0Atgth/IDRfW5LMdH1oQcgS4fY6e62JWq1oOBrq2Zu0YPYle/TUJeRN45G+B8gLkte9095k4UWLevidpIKVphVQGctsNwPGQOvUHfxJ49JNA8XzDLhkhRGm/9/O53lGfC33xxW+//TveYqWIdzsDFxSjx5C+96A+6Hr6/MWd65oQ9F1dlguaLqSd986+VtrPzc3hTW96Ez71qU9h717dVaiRD3/4w/jABz7QsP38+fNYWmqsLcpgXX0oZmZm1B8dCtFgmI0AP9fMRmMtPtNL5gQmq49h3jwJiQqGirvV9r7iVpzPHcGOxYMwPQIzJXKoymWkRQGlUt2KW5UmTPsbLW1f7BEozPt/w50dPw/pKUlH34b7S/X2M2Mxs1TTN75x//rv+ZREarlam5fqd3oWlcUIa7oHUZXoo7kJ/3n1z0R/OV2cLqPkKkkWMJZpj6VCrOvzrlSWYRhVO6N8Hb0NWXylUYUwrThcKUuQ5TIM+x6a5TJglCGqFTUOMTu9Bd39JyFI2NfOl/bTq7oxSR0rKpidnUG1utT4XNthoqtJamkcZrobMp08PjqVWkJfn5Xlf25uVoWykuAb0USfefwQ5A4r5KRSWUClUkVeq0FPiHIJhn1MeWkRswsn0D9rJaGbO3kIqaVpdJXLSKetNqaZoToBkDIF0wzyivBSxiIGUSg9o95JQ2Lm/HmI3T+B7NyzKIzd23DE9NgYBqb9E99Nnx/HgPZZ9jI7NQMz4LO8ltDPQRhlGLb3SVVtd8+/tLCALOmtAFFPrauVivodR86rezB+PvQ6EqbMwKByhj7HC9N6llIp+/NaqUBW6m2nz9f7T2ec56cKs1qq3eP1AmnYdSPoh4eH0d/fj3Pn3Nkkz549i/3797fUnkQ4udm/733vwyte8YrIufz6r/86fvmXf9llod+9ezdGR0fR11d3mWPWH2rVXwh1L1f7f6YM0y74uWY2Gmvxmb7v3OdgpqpIU313ZGHYIjttZFEwejFS2dPgRdqTGUVFCfq8y3JVraQgyfROPWWzyO4apG+vwMlZCsZ39TEyOmDVlPcgq3NA0fpSu2WLnnytecanH0fmdH2efYNDqlReEsilHgvT6vXo6GCDxY4yoEeR7e9y5wwIG2veGssqN2cfn3VENLmCO9ZZj9xIC4gsiQNrm8gaQDZtv+9BKrMMZPKqjr21TWBgaDdEqgwhxu1FgG1AZhpSJfiqW5tT2TREVmB4eIs2/hp6rqlM2ZEvW69v+tUmOihBiNPq1dDQqBW7TvHwR7WEi3MTENlL1etsNg8peyCEe3FI0jWwrbC5k49jtHyIGqv3w7154MwDgAqRtYx3RookS/Jwhezea4CZ79fcuLdsofsCYKoMTD/U0F7tP+L/3G/ZshU4mq1nanfF8dPndRuQ1cpErlW085MiQwkz1GsjmyX7uatptqcHWAqWi7TwSn+JKJw5loVe3YNtwLGIvy25Llr1adxOHhdVO1eHM+90GkIrj+m+h9bfAyOVog9nff86gfK/rRtBT7zkJS9RJeb0B4RKz3kT2yVpT6uGP/mTP6l+3vjGN6pt//t//2+87GUvw+AgZRZthNz2va78BP3xXStfLJjmoT82fC+ZjQY/18xGY60905JqkwckUw5KHkcx6BnRaAGlBHkVcxnZlPXFP5W2Mj7LbT0wSdRr0JdQ4bXQU9stPTCPTUP059t2jdxl6gSMtJG4dJ1M1Z3MaV7eL/jeGkPG/kG1MKHH1dP1DBtXTi1CLpTsync0Glnd/O4BCUEShAZE2oCs1NuoaSnrni3oUwVA7INUfaUgxCUQRhomHqu1MdK0fR9lT1DCUoghSMOyuNfHN1QJNStPAX2XNNbccy3nT9UkW3PzyNWvG62KkJs5Wc71JhUS/fWECtZrW4TNTgDjp1Ud8Nox5WW3JDn/g7bFQrvGsa+/modB826E9ptDFwOTjTky6PMoL/oRMmVDnvt+vYY73e+9t0Pk14fhL4nDOd27MJ8D5z7HT8xpwEhnIQ+8EvLZrwS3C3o2Y4xj0D1sPNC1f70Qd65r5oze//7340tf+hIOHz6s3n/6059GKpVSteaJW2+91SXWo9rTSii97unpUdnvKXaefqhePbk8MQzDMAzDJMXwuHILFUdsv47xtcoQafRmd6hEecYFdeOC6PKxWAV8dxXZFIwLh2BQbHybaEyC13yWe0UMz2NBixn2gkbtsJDjZLkK8/wCZLEMWSTxTQsBYa67C/ZAnjwHlJsgpWemP0ABAbZVPwxaILjFzlyftmPodet/di1+xQ4sGaaS0M2dhtQzzjv7ykXI49+EXJqCXJyErDieD3SuBwGQS33O/6bJ4KR48vF7Ic8dhzxzJLTGfNtwCUBXlsPgQ7ZcGbxv5DKIrVfXrL2qp5vfB7H9BmxIuqiSAdp/P/rDQ6AhWihttwlZMxb6G2+8UdWQf8Mb3oBCoaBWJO666y5VT56gZHd6zHxU+6985Sv4zGc+o15/9rOfdY310Y9+dEXPjWEYhmGY9c/A0g5sW7i49r5fqzOfMbpRMRPm2sl4RAW511dNVVJOFMJdWNtewsorfJrpXj+Gwgh8vAtCj1H4K3pZqsI8OqUP0NjV4ALkVLenr2VALLi/8pIQt+NvrXMNON9aIjdPZYDacc5+qQn+nXYJtTWKLpRO3QN54rsQW68C9r/c1Uwe/mdg+ihw+n4rfjrTDXH9f7L3er1cPffCdanoM+HOeRUJjdvYUXO4Fqr8qjvQ6VwITB2G2PI86302+v6JrddAzp4EyJq/YfB89ih8YNv1wLFvBh8ycilw+hH3tt6dwJx/HoLYJeuC2m3CGvPrStATr33ta9WPH+ROn6T9HXfcEV4HlWEYhmEYJgG6mCcyZg4ji3vRl6USdQJzJSu2uFmMCwZUHL1Tf34l0S30oskvzkr00o/KjO3Jah70ncw7TFDJu7nlyIaif9Ej6GELer2tfW0NR4Q6Jet0seedm5+4cAS93jfFYNAizxq2LuoW+hPftX6fewTCI+hrotpJhkbZ55dnIHLkyeDBe2+XlyCnz0MMjNpdVCCf+T5Ef5utvUmFYVB4zL6XArtfABTs+WU8z5AwIC76Ufe24YMQJFy9bdcDVIau6hOf7kHseoE7ZMHL8MVAbqDxuMvfBHnvH7Yo6IM+Qyzo/Vij/kAMwzAMwzDrBfeXzFJqMd5RHoFBCfBWQ8yrsb3vmv3e7FjlvWXlvBXfRhwhFG+gxlwCCYw2uns9WdFJiOt15YNCG1Kj9ldlv2zw7msk0iaM0W6IzNoR88qlvhQvS7Y8cjfMQ/8EWS0HLr7IH3wS8vT9yh3fM1Bj2yfvq7+ZPKt+5BHKSdBmogRikKAv2+EYRLYXonurEq8KT/Z/cfGrIYYvcW+juPlcX/2YdYS47A1A99boRTsnPt67mOHsNpqpTx8/1r6l4zcZLOgZhmEYhtnUnF54CGPFx9XrqaUj+P75OzFXOoNStehyozeFibRRUO71DtlUX8OXzeXUAowd6yNBVg2XMGn+S3M9F5pX0LvfG0O2aGrQ6QFCvUHQ+yyaeGqd17BLn1kx7na2dJegDzjf/q0Q3ZSrwO9e6i73VBagrEIl1hLymS9CPvgXkDPH6ht94uVV27MPqkRw8r4/Ap75on+HlSXIY1+HfO5fvEf791mcCxBn9KwV2iPSokrvCX2BTF+B0TxSPPMjkS62X1/fsB6t8CGInu0wrnwrMLAvqqX178ilEDfVK4C5SOoNXbvW8RYTAqbErGWXe4ZhGIZhmE4jTdMq+9aVxZI5jWOzVozocnUOJ+fvUa8PTX0RZVO3RAoM5PaqcGFTVlE2LQtfPlV3Qa7sSqM4dhZdW3dSTTusJyg7u/am+VjVmoXesz3Q5d4zTpA+aOWLfMqEGBiCnHaS4223hR4NlgqMoSevALEzaGGGyq7pjdegpXbCytQuzzwA4SQhi5FwTk4cCm8wedhzQECN8ke+BRy8ngqGe/bQhctoizJxRGFAm0zBbW33QuXlasNqn8mhSyC2nghOzrbrFqt0XpxFg/WKembr11WEfDap6kPAsk2yzPix/64EtfNNdoHNDgt6hmEYhmE2FfLMvFX6bCCP5f565RtHzBNuMQ8ML1linjBECoX0sFsEU36ogUtR7TuAlJGFXPJkVl/r6F/e2+hyL2eWIGeXIUa7PA3pYj4NiN7I+uLkAi7n9Gz20fH4onsZciFXc4fHQD/k9IQ2T8p7MN7CV2GPhX4Nx82TGIuy0CdFVkvAka+pMnji4tcEtxs7ATG6Gx3DUwsePduA+bP+Il7zQlGu8t68ARqCRPzIpVZ4Qd6/1PV6hzwTQpdS4sa7+9G3C6CkgT3bVLiCrCXWs/uM/PvCedCSwIKeYRiGYZhNhbmwpErMyeklSFFGpppHOWW51g8u7kTVqGA2d851zJbihZZRkb6LDnchO5+GXK6LCWOLXVfeyK5Lo1HDl/tmLfSUqZ+oWKsf5jmrxrw87Y3lpoz1U4CgBZV9trU255tMz3zGEeJViAKVUfMp8afmrB2b0YRr2mzMUq9EbqYF8eAR9K2In06jxzrLNi00zZ+BPG/FxMtHPh7YzHJnj7q+cZ41GUvQiwOvgnz0k7WFC5e1OGHMN8WOr7OPcTL0hZ6m8b8v4qJXA+ceBrZcBSxr5cLTuZjd+nt9BH7O+uwFhAjEwR/HRmQN//VhGIZhGIZpDWlKmOMLKBfnUTVLKjZ+rnQKC+UxlM1F4Nw89k/fpNqmqzlsLV6EHfOXuurLW4nQtZjbLrcwEP15Ze0PwtjT39aa8Z3ALXhbsNDbpfhkxWMJtgW+QoUj2O+VKCYxT+2LjfpgQbfML2rx8OEIXdB7jef2ooEqDZhNAd5Edt5ygv4jeK6RWB/5EdpkoUdxLFYzOXEGoBAXxLxWScvA9e5oPNeg8Ie2CNgNRFSYSJxFqoBQGpHtgdj9QpU40OX941QSiPq8eD0vohDRcxUXvBRicD82IizoGYZhGIbZsMjJovqZf+4Z3Hfuz3Fq3sq+XZXLWKyMu+LH07Iu1AuVeuz06OJ+t3s9uZXrX2T94uV1kZhLQwys8ThcrwW7WX3qWOi9We41jL3eUlfBbeuhC9TGDEx8J3qWgi30qQsa21OW8l19EHsHrNdCwNg/BGPfIIQRV9CvXbdgqQl3Kksnj3/LftMuQa+FL0Sx5I1xd65bzn7Q8hA7b4K45HUQF77S09b+HAl/rwyx9yU+W4MSK7Kg15GzJyJatGuRSrhL5gW1otKBDma5zXXo5dr2omkRfrIZhmEYhtm4lKpYrEzZ3+kERiYpdtqfkWLderNn9mo8NfwN9Xp4cQ8M3crpiNbAkmrWNhKISvc55Z8yKchymwRVBy30Vgx9k1+cncOWq5CzS/5N1PUTMbPcOw3snAZBgn675tZLpJ3r3Atk+mN4JVDcdJIv/B5BL9eYmB97xL3t1L1A327Ik/e0Z4yxH8RvXF72bDA1QW+7YO+6tVYCTub7gSXnflLuBQmkCkDF2w8t3HhyM2R7A70QRPf2+HPeDCxRyEtIfoA4fwN64lxTj/ePd+/+HwaoBODAfsgT343wJEmSLK9diwFrHxb0DMMwDMNsWKjsnJORvrc0glypGxW/kmf03bQ81LDNMK2vSoZe/sor4Pv940K9ApGswTg5s0YT5rXHeuXELMvFsvpphL6o10WlMCREbwlyzr6+ko6ZpaBYq61wvtjbv2uXnpLpzbm+q7vWAtJ7YVzQB8h0TIt7UtaWy72qHb84DuQGgFP3WALe2+bpfwrtQ2y7BigX/bPc53qB5TmfCx2F8BFnjdZ2vZ67uOItwMKYVR5vmZ6FkDH18nOX/ZSVjZ36qtbd/MXz3gJMPgPsvDnBvJlYlRsGL4KZofwhpZB+9GyVPp+Tvj0QBc/f3q4t9r2PO1cRpxE2KizoGYZhGIbZsFSVQLRIybQlfHyg+Hkv+6ZvQK5qxb47MfSiO6us71JZme3EWzEFo7Lkb+uFPD4dGnO/Gngz9jckkWuAzp0WSuhL/9P2eyoH17goomNsO924bfs8ZN6AeZ5E/FnI5QVg8SDQf8gWf71aY7p/ea30mXN/eyDEPIzt04C5AyK9BZ3GdY3kKouF8cchD3/ZKsM2d8q/TTXAjdkhPwRc8FLAK+gz3RBX/SywOAWcuR9y/MlEU5MV77jhQlGQ1X3gAkg9PCDIBVt/bsk6T1suvAPy6f+rYqbVe7Iix7Ikby7EgVdCPhfisaF7Jfn3oIR0qXcf8vNhpQ71z4bP30rdO+iqtwMUCpDthZw6HNFXnO0abKFnGIZhGIZZfxgLdQG/beGSQJftC6dvUb97MzswVz6j3HwdMV/L1p0yYNh1ycXWHluYJ4uNpyRsxoGhGIJ5NQV9nLk9Y2eq1zluxzqHHF9zhdcpA8JeUJGAeXIQqBYhpvuAPnLblwEWXhIcjtC7ULlyi16a02j41NvmHr82BD2VVpOnbGE2cwwga+fiZPKOzLL1nO96PuSZ++sLAJRjIJVTJchkOulClAAaBH1Mjwl98S0o+Rp9jva+GKgUa1ZeQYn1bngvREi8NgOge2syCz0J/GaSKkZZ6PWmXaNA1yjk1LMBDZIPX2dt/c1tJxs3OwDDMAzDMJse03HVtqFkeGGQoHG51zvbYbgy1TvC3Bjx1lePZq2J+QbX5dr0lPO8T+Oqj5i3McKurwzIUk/J7mqjA1WaywJkKQ053tM4hF0i0A0trND92bWCNeF1Qd98vLv51D9Cnvxuc8cvz0A+8GeW9TwoQ3jvznidVaycB2L3rRDXv7u+vcvJTE6XNmbZMVe/XkHf3udf7LgBYs9t7m0s5qOJShLnEfTisjcosV1j9PImxnRyZ0Q9Awkt8WJzW+hZ0DMMwzAMs2FZqsS3VKYNEufCV9Crr0zeRPAb6Auiv4WerPAPUoY7bR+52d8X0lGYW3cxwEKvKeJyxFdTU6hwBUo4KPx0fRh27gPR3S6xp10zkxLIh8QRB7FwFph6TiUDk2VvNvgYnH+8cVvFnSNC7LDKMjaQ9VzA7dfXjzFSEPtfDnQNQ+x7eXASuporeyp5TfFI9KoFa7xKxHokyqXes1/07oRx1dshbvpliGv+IwSFd8Ranony/vHZphv1Ry6LOJ7YOH+Lm4EFPcMwDMMwG6/2/PkFmMVogZU2CujL7kJfdje60sNqm+ETkbiRxHv8L91UmowE+kN20isS4xHZzUMEvbH7fLBR0B5SLmdiaTxKOCi6k90T44JBK2Sitwkrsy/a+FOnIO/7Y8jZk8HNyW3cK251a/rMMchnvwK5cC7+FKrL0bHyGR83eRLqV75Nez+qaofriK1Xwbjq/wdBWef9rPUuyDuiJyIpXt6dDyEKzc3eiYdnVrIOvf9+Sjwo8iHZ8RsO0NW58wcg4rOr968vLPgeJmLG0G9c2csx9AzDMAzDrGtkxYScWYLoyao4d3l+AXJuGUvjZyOP7UqPxBTvAshu3K9N3qR4jT7kR+KJsVSIy32u9ez+Qo/77RMwzDkgT4sN+6OPpaoDaf965k3OpvZKzp1T7+SJb0Fc/ibf1t2n7gLOliCv+lklirzJ3uQz/2y9qCxDXPKayNHl3GnI4vnoaaYaBb3Yeq1KPieDLO9BUBZ9HRJbtcz3AYJp2SlfmPIvW7bTyl8RysC+ePNj4qMErtlCUrzYAwW8DjmCBP3Om6zFIFf+BBEQsmNgM7Nx/8/EMAzDMMyGhDLVy5MzVpK6HX2Q5+YhF0rAQslVEq5UTVD2iL4qFjIQfTng9Ky/DSi7UrHZa6AOfYOgp9CFydYEfUBCwsh9NsauSaBwgXvOg3Z9+lVBwNg6CzndBVml8IRGJJXeSheUtTOzcBLIZoHZ48DAfv94d2Lyaf++po8CZC0/fZ9VWs6OeY/EI9bFvpcBW6603pBVvjQPMXRRvL68bvrCULHV8vHP+pYTjBJwauFiMGhs7ZnY5IKtI5Bgl7OAeY7qTDZXti5p+ogEnk5OXgR55G59a/1l9TlKqAGYJwAciNHjxn2GWNAzDMMwDLO+KJuQi5YQklUTctl+rYl5GTdul+KqTesrqbHbci0uzZaAGU87T035jYf3/KKuHyVaI+vymP2eysSNAQbdA7qe3i/uZvh3+Tges1003lq6DwKif1H9mKdJXGdd1kS5NA358F8r93Zcobm3V7RQED9B7xxPmb7LCxBbroScPwP55OeSiTVyo9/9woZEdmLbtfXXz/sZYO4kQJnhY6DqvLs3QPTtBi77KaA4Bnn0654jSBSGeGZke4PDWVyW2bV03zcIdO/od/XRwP3tGSd+lnv/4wM2m88B9BOXDRw2xYKeYRiGYZj1S7lq1YX3bDZr5cyCmSgcR3/+gGXd1yhhARmvgIhZa37tQVdmSavdHtflPkzQUyK0PfbrbbawJ1fsCcCoQnQbQCVVW2ip16yPmmcQZBWeX4NfWyOeCaeOdnGCVp7q26tLkYJemhXIp/6PPUwaKIVcv94dKoGdspI7Vvu+PTAu/Yl6fwGHqrj54YNoFrH7Rdbv/r2Q3nh+5egRIaKc0IPIgdbr528NE2WBb6aigf9AAa9j4vK45yz3fvCng2EYhmGYNY85uYjq4QnLCq9b7si67vNFzdQFlIcz3U/hqeFvAMMFCDtBmsjUv9z2Znc0HEOLBusTsqB/385YH4yqP+4iJLmbK+s9JUNz4qrT6lYYOzMQu/q0b+ILMLZEhD8IKjfnB90fwxb1dcuyhVV3HKCxVgOfZyLIM0R3j9fbBFnoFyfqzZ/5Z8hjXsu3BiUpo3JiuXryOm+Cu47QvRWihxZ0aqN65hUgGF1JzsKkCLvcd1zQ5/zzYoir/0P7Sv81kxQvuLMEW72s17/h0ay1pU6GYRiGYZgG5LhloTSPT9dc49X2+TJkqYJiZQKmLCshnxJZpAz/5GeHB/8dV217mypNR+0II90P5OoiI5cZQDpjqJr1ixVLWIl1a6E/Zf+uC0Q3tPBBWdXr1jihMtoHtXeOCfpaSWK/Chi0IFCp99vvE6OroxIOUmkyErslTczZCy5d9NsrEElw3NhR+5QsLwJnHlA1t0XBWUAIEQjzZ+qva9nd6ZTmkgn6uPHxen+6ALNLinWUhlJyPoK+6mOdzXQDlFuACAuN0bPci0YvHKY11DXN9gHLc437Gp71lkYKeN3E4YFtjDZ1tD5Zr/93YhiGYRhmk5Sga6AqYUorVltOL8I0q6iYRSXoSRBW5VJDQrzlVBFnu5/G7oFbkU11I23k1Bda9dOVgUjVvxIpK7NIuevRty3jcyehrP7TCY85pn4Engr43qu73TrJ1Rx3ey/O9ZqAEKcAQ9as+VHeriJD158Eaa7he7cYLEBsD8qw7585vV3II3dBnroH8rG/c28vnoecHddn2XiwqYVyOALWK/SDBL239FwIotf2bkhpi1hksddx3rehnrvYebP6PDhJy+o7PNcg5W83FL2aBwwlDAzE/dkXF7zYGptpHyvihu5joU8y7I6bVDJGde9bma/AhoUt9AzDMAzDrFk3e7LMGx4xN794BpXyJFIij0J60Bb3wSxkppHbsw2Z5Tls6boiemD7S2NKWBZPAWPNuNxThn8cvdtKeLb1Km3PnF1ajggqA1a0Le87bCFMVnOr5rkITFxG3hBU2o/EYiEg4Z33a6VVSk2kq5ClsK+aNI/TPifpfisG8q4Fl8Bs8mEJ1ppl9kSDxVxVWXjk41ZegGtvg8gVokX5spZlcWkK8pkvAttvCBb00/GSfSmRQ+W9vPHoZAXX213yGuW2L0gctYjY8yJg5y0+LtleC31AWbT8EMTlb7TK84WEBojRKyDPPQL0WQsWgq4XXf9T97Z8Dkz7EB1uoJ6Ra99heRQ8eqzZQbCRwzZY0DMMwzAMsyrIYlllmRf5dLib/TlKiFZnrngSBXQpS/x8WXNxtpnPTKCnPKxeL2Qm0bf7EvQVdmG0cGm8idW+Gwr0ZndaCePWisv9zBHIsw+pl25BH1IursYj9m8Skfvs2Pqo78OkrvtjfnH23MdUWGK9y+34ex9Br4/WnXXlN/Cd4dijkM9+BWLbNcC+H0JbcWVat6k44QMCWC4CHkEvJw+revQusV6qW+jl2A+sF+NPWXP2G/acdm+CGLrYEtd+98bINNT1Fpe8Du3CN77au5gStLiS67cy40ex9yUq2R7666UKmXazShb6pD04z1LQ8SKOoF8PXlbNsUb+78QwDMMwzGZClqswT86omPikoipdDc++fKr3cRzvewRPD34bqV3D6OsKSrgWgKsmO31VEmsnQ7KyFEdFE0v7h0Skn6ieb9jemOXeIcm1cy+8WC73zXwNFRCDCxD9RRg7oxPeyePfsH6ffRhtxy/GW3efr1Ytrwn9kEOfB4rjwJL2bE8GJCUMKVvni52ETux+AcRFP+KdbPLs8Z1c/FDiSxdR9jOWDQqf8ByeykAMH4RI593bL3yV9du1mME0hd/ftfxA58Zo9e9oK6FPYuPKXrbQMwzDMAyz8pTrQokEURxX6YXyOQiRQlelD+WAMmjPDnwPUpgoZqac3pPPLeUzlxXQ87K8ABz7BrD1aojenQGNZmz3ev+kfxYUo03tng4R3t8LEPSmdqqUVb5x8UQe/TfIxXGIgz/ukx1f79R77UmYLcW4qAUYo3T/Ylhx1ZSDKxq0E3nmARVP7xL5VFNeCdmIB4TurV+fuit+BMojY98Pq/GFn7DRk8KvxgJUQ+iLsH+6PEnxWovjJ1d8DB6ACI2/Z5pBeYzsub3dvfq8bvL5DLSyi00t6DfumTEMwzAMs4bxlJ5zthbLyBWl2+opKQ9eSf1UzMVAkX6u6zDKqUVcMvjq+qEh5esCWaV4efnsv0CefxzysU+HtLJi3q1M8Dq6JTlO3XcPSgCanmubDRS2mD4KnLoXcvIZyOkjdg3yA54+vUdeqPcSMhn60n6NHbsfjCzNq2uGav1ayDaJezofeeZ+d99H/w2grPcVLbyhWm1tQWFxMn7b3p1WEscAK2UtHn21vEk8ifxEvkuzH6aBwiDE6OVA15aWh2Ix3y5EY5hDu8rVraSFXmxuQc8WeoZhGIZhVh5df+ri/fQc8iVJ5ni9AZYqdfflsknJ3YLpSteFYHdma/K5+SVgWwmNVLSSySWO6fYV9HE9E+gLchWGsvFYlmatWJh76MUJyKe/WH9/4jv1nYP7IQ6+PsRCT1nW3YnaGr+SJhPGFDePaScRoJbEbqANMdfHvxXPhZ9c5ksJSsx5KXnCFAIQI5cB9BPGrheo/lTc+WpgOp/ZPMTzrgMmaPHtcN1NfuTy1fEcYGITtFjUYq/6AI3bkvQkUs2XLxQs6BmGYRiGYdqHqdfi9tl/ti50lquzqiZ8FFXDEhRUcu6qkZ9Rten7czHdtjVENgUx0qUy25tjtqV7JYRITRCFNgrYXvVJfkdW7CXg2JPAtgsgegd9jiNL57yP0Gq8bsoaHrToMEVZ2akPsu6VPYKevkjv9ywyOK/Jqk+CuCdmYj8Nv7m06TbJmaMxWgllnZeP0sKGO8677ey4ITy8QZX+K6hs9qtGzVMhC9HzUsjJe+qCntzkmbXHii+wtBjOFJgbQjQ39gZh4y5VMAzDMAyzdtG1XdWEnF1WifL8qAaUpRsv1EsYmaKK2exYLZFdV2YYI4WLm56eMdQFMVCAyFlfIEVPWMx6m4iVIM3PPkVu4cf9Wz/7A8jx05CP/XtAf0Hn5WOpi4j3tsIkrvKtFuDZoLHFrmvfri/brfcjyc1+0cnBEIFyuQ/L5t8m1kOGbnKnzw9AbL/Oeq7Ww5w3PVoC0It/rENDtDEnSZCgF+xyzzAMwzAMs2rIc/OQpWpg7HolwMV+vHAU44Uj6Dd2YQGTNXd0cstsF2J3P0TVjCyd1hZUfgC6BqmYLvdVu+xbSOm3opaR3RfKOO4Xx23F0cpyEUhlAXKvj3APl0//X2DPCyEKNwI4CtE/ATndBdHVE2thwtjao0oUGqNhrvnNIedOAeUixNBF0Y3Hn2zCKt1m658wIIYvgXTmQvdgjaOy0V/9H6NLjDFrky4Ki2mCwDCg9pWti56jiD52Az+PLOgZhmEYhllVlJj3JMdzMAOs87pL96Vbf1xlwH904rPW5jZ+cSO3+5ZKJcVmgTIC2q/DSrWZngR5JxOWXSMX+8W6Rf3040AhDzHkfCW0rqmUWWWRlw//FZDtBkoxkuxNPg05+TRw/X+CyAiIXBXGgTHAoJr3Dlnbo6CxdJnoz8PoyUL45TBokVqiwYt+BPKZf7bGu+6d9URyrsYJLO6VOGESEdDzpSfWG74EguLhC0NWvXYjDZGLLt+3FnCFbmxgAbVhaGfCujhjtFpOcevVwJGvhY8RxAbO38CfNIZhGIZhVp5Iq049fl5nLjve0MYb/22EWbjXLEue10HWcK0igPR3s3fR4A5+NQA7nnl2AvL4Q5CHvus5pgp57/+0xDwRR8zrqPrr1j0RKW9JQspefyPk0hxkxVpY0GldzId/aXfEvHr93Fdb/uIvl8ITNKrufOLaxcil9TeZukcC1ZY3Lv4xiK4RtTAlqITheo0/H7ywM3XNmTbSBpGbRCi3KOhbW6w1sFFhCz3DMAzDMGuSxcpEQ0b7ktEoAoNrHa8n9DmTBftRALfY72kRg66DtzZ91edLatoW/cFeD5Z1/CZgmcbwcS8vl+LNeNt1kGcf9NlBc/JzsycMyKUpyIf/BkjnIW54N9qKj7iQQRb34pjWRqocBslKdglgKWCxozBYj8PPa8kISaD37QL6L6i79tN1oPry5QUrm/0GgRYlcO0vAFxibp3Qqb+b2t8oI9P5MYLYwB4jLOgZhmEYhll5Agz0i5UplMwFGOZog5g/XziCqcJJVWLNSYDn0JUZQdroQtboXqelsfzmTJZuEqPP2O9PNSaKtw+T89NAJguRe6m9k0R5CpDfthvOUZFpq215ATj2DcgF5xoK9/jKeyL8GpKFWex7KTB4AMgUIB/9VN1VXdUj32aP6RMPTzXsiUoL5d7aUT2gsqiEvHpejv0b5NmHgIM/AXns60243At1HVSdeqIwArHzFqAw7BYSXVuVaHctMogUxCBVAdh4rJdQgc3LCv+t9LXQt2EO264BaHFx2JMIdWgrMHluw7vcs6BnGIZhGKbtyKqpvkCpGHTvvoUSzPP+ls2yOQ8JiZJJYrDOQmYKE11WVvtz3Y7ArUOl6q7b8h8g1qV1Pgi/5Gyaop+bhMwVlACXj1pu8+IWR9DrSdTomvRBnp8Elp6FPPcDZQ129Sp1K1pEebT9PwyMPs96bdd8Fzf/KswffBJYOGdn66cx90dm868J6o5VBdAT13moliHv/xNg9wshz1ieBvLJzzU3l2wPxDXvgPze/782N8dVnjwSatj5GMh1uHYnZcD8GKbTuD56KxBD7yR3lG0eojAE3PjeBg8A5XEzsgOQ3a7Qlo0GC3qGYRiGYdpKtVICnpsBUgaMrb2QS2WI4a6acDNPRWVed3/hO9J/P5ZTlgC9fsvP47GJf8BSlazXjaJ+M+UekE98T/0W+y1xHezmbrc//OXgnUtkWY75hXf0Cgi/RIGO9S0skaFXiJOYFcm/jqrkeyEWflldhkjlGsfzUi1BHr0bLZNKq2siu4aB4gTE8MH6Pv251F+T6/3sSYht17Y+PsM0hZ4Ur0Mj0N+Fbdepz3pbPTYooaVWeUP4VYIQgLjwGttjaCMt9rphQc8wDMMwTNuoVkt49PSnsK98I3qwHeZpS7yLfBrosQWWjYRpW9SdL1p1sVqRdbFWMUqqST41iEyqC1ePvg2Hpr6IqeXnsD7xc2l3x3mbT90H4+CNjUcefaJx29mj9fh0EvyUbG76OaBvb/wZff9upLtfjYowkVFe5I1ffsXN7wu3pjuCPspyrvdB7vlNJMqSh/7Jf8fE0zBP3w9MPwvsuhXYeTNw/JvoOIYlJsTlbwLmzwH92rXXXe611+Li1wALZ4F+vQoAw6wkK5N7RIXntKuva34eWDgDzJ2GPPNAzKPa7BKwxmBBzzAMwzBMW5CzS6icncCe0jUw4RZ15pk5GPszWq15ibnSKfUqY3QjY3TBEBnfL2BVUa4tABAkKvf23Yb5iTHs6F5v1s1525V+D9Uns+PMBxq/cE6dj99lsR6eIB/7FDB/tqmZdZWfhUxdDFF93Hd/pGu84+6qYuhjUi1ZsecJkEEu9Gpxo56kT574tkpAV6vl3g6ojNzsCa3cnL3dXpQQlADODkOIFPSZLmBgY8bOM+uEdWi0Fvl+IN8POXd6taeyZti46f4YhmEYhllRzLPzEJJs7j7fEiUgZ5Ygz1jisyrrmdTL5gKKlfO+VpTp3Jl64jfNil1ID6iY+R0912F98Sz5HAAg7wISmk+pevLSJ3Gbsrbbv+WZI5BOcidFl/3joUkxry5y9QkYXd8n9wBry/6XJ+vBccOPstDrCeGi3PP9qC7Hb1tJ0DYGYs9tQM82iIOvB/SM+LaF3v8gf0HPMBvCQh+zBOnqILAZYAs9wzAMwzAr41q+WFEJ8YJbN34xPNt9qL7f88VxfWaz113rnfjPcWDap+48WaJTaWDyjMfVXnTkK5zI5CDStLAg6vXDyRq2NBOvA8dCL+MLenn828D26yDI8h2XJNnxq23OpN+9Bcbzfka9lHRvnHUYv/hdh82Q24FZl9AnvfZXdT3+OWUUvEzIMAzDMEzTmeylb53zOAc3bqqYPjXm9WpqnjjzjYCsViHLRUD6uI9WK5AzJuTTD2sbSRx2Ilsz1VQvqjFr9O6CGLncet1DSaUiiBtDry/MTD4NeejzkGcfhlxqTHTYsoWerm1S+nZBXPlWoJ/CIkLEuWahF2H1tV0WelZNzBrC9TyKjZVdfxPBFnqGYRiGYZoS8+azk+q1cWDI98sZWdyDysj5LQMsV92W4PnMRIyj1pu3gpalfn66Xm6ulqle4+gTkBOU3Z8yQzuVAbIeewzFn9NCSK49sxynhQWh3O1V1vadt0B0bwP6drZF0FP9dXnqHvfGyjLkkX8FMl0Q178rfH7nvg/53FcRm+WY3gU6/197/wEmyVXe++PfU9W5e3py3NmctVG70iqAIkIR2RiBQBgJCwMGGwwSwbINwrKw4D7XusAlY/42lyQbEEnoDwKEAkooa7WrzbuzcXLu3FV1fs97qqq7uqdndmY2zey+n2dnpyufqjpdU9/zJj0EEW0GFlwBeeBxW/QM7BrrFVLicj9JQc/ihZlRnJr+qCpQNKy082FQtvoThXZmeMewoGcYhmEYZlKoWG4qORfQIWJFF2OrYwhae7yyJdZrYZ/A3d5LSh9GZ3wbTD03RgzOJpTFORiHEBT7fgDAMsjcMNDfCXlwB5UEKK6799Wx2/dTPHzVUY7id17npvZiLha8oaxcW5mljtzt3bj4uiWT26kr6L1W/nKoTv145FNHrUs/JTGvkuR5vRsqI+ZepKz+8siz9rTjPi8iDRAr3qJq1EtH0JegRyYl6Ol8isM4LOgZhhBLrz9h3wax4DLIni1A+5lRQYIFPcMwDHPqReJAWpU1E9EJ4lCZU0/GgEzlgVQeIuIRMOR632vXiS+xQEMiawxBCB1BvWrS1nZdBGDo2THeyfFAO2YLJADljp8B8XpIsx9izmKgKgX5wrHWPK9kcZqimG+/EGhaC/RvU6WfKhI42kDCRBb6ylnuZXoAct/vjx7zTpniK21PGfGniVj5VshtP6m8MNYKpDwDDeUWw3EGGIReA6lepXU718GkGsLRrsxMrUN/+gw2idZz1Q9Q5g10msJPFYZhGObUksxD9qdgHR6B1ZdUdcvLk58xMwTPC591pFgqjVBCvwxTZpGzRpE1hyouGw8LFpbWXFsyb27sAiyueSNmC1QyTQ1ajOwDkiN2HPzo4DHskURmZMyrm9h0G8SiK0vnLb5mgt20AuRGr/uhrX7X+OtNozZ8wUo9jsu9fPnbQKJz4n30vqaEf2Gb/u2wXv0eJCXmO5YyVeRC70Ku/c3rPO3WS7PUlwt6t6a818VeTYecexKc2OWeaDgLRrgJqGqb/jkwzOkSQ39c4PcEF7bQMwzDMKeWvMfteMBOiibSBuC1ADMzg0m87+WtYhIyy5Pt3JL5Qp15KU1kTTcmfCxSWKgPLcW+kaAS/tXB+WivOh8zFzpnKrs3p/hqpQRxaYiAPFTBbXvSaGPFfNMaJczRvL7UFd1HQrMCkXpoa26exLHE9CzJziCAtIxpSwM3DEBc8El7eucv7d9bvgvkKyRNnAxVbRD+aPH1n65PsLo00Z3XK6BM0ItwPbD+r9VAQAnezPblYr+cxdci0dODCFvoGeYU4MfpDD9VGIZhmFNKRWu8Obtipc8YJmEQyZmjY2Lec3oaKaO/xALvYmg57Kx9AgeatnoOYy9f0/AOtEY3YEn11Oqhn3wx/woAsh7vg0x2Qe77FZAjS3SybNVSr4axrvTlr2WiKDBrF0EsvKLUsuwVoZEGz2YaRMvGsYcQE9lxxLEnk3Kt+s5AjswOT9vbRubKyvhNV8zTmVUvKJuhAd4yeXSu3kGQCkm6SNSL8lAASuxV2MfpLRgYZsYxqUfLMnKPAXB6e8awhZ5hGIaZeX+U2eV+xqGEmcebYjJYsNcfDfQikK4cF03Ew3NLLPuuoA/76rAgfglmNq9ADvYAmSRQm4J87UnAOFqsN4nl8mtJgpCE8NjBLLHhg/Zv1z2WrM2dzwH1K4rrLHwj5Nb7nAknkV3XC/Z03VIgcWRiV/wxBz02l3vZtx1y1y8hWs4GFk4jVIJqzR+v7Ndea7wr6MN1Zet4cgYE7YSAR8VrlQ+V7Y9hZh2zzOW+ak7xGTcu9c7P6Q0LeoZhGObUUkm8T7e2OXNCkMMZWN1lFtNJ4NaVT/mGYESyiBuuVdRzf6VAPDAHA5ndhVmmqJxUbaYgqQ46xYKnByH3PVhc0PHaJLYmMR9xroHm/M5D1K8GIrWQB/9QKvY1fUzWdzH39UD7hRBe922vtZjW98TAq+RQVXMmzB5/PF3uYeaVmHezzKvBBieD/KSRJuTAThwXvNZ4hXDi3x30IARl9V/+ZnUOYrIDCTRQQrkSqJJBpZr1DHMG6HnL+106mdQvh8CbACqreYbDgp5hGIY5tVTQ7tKi+uXOZ8qsPpqFqA9DaBwpdiqYtJgXpTezO7ILljCRDAzAn2lVVnhN6Ejme4qb2FXPS7YzxPSzmR8LKkTAMu249Mpr2P/v/jWgxObUPBZsK7zrqSCU0EXjWcBoJ0CCcKiDsrd5as5T9vTK9eVLxHx5PDdZ6L1J7XT/JMR8WbbrYxH0ZYnv5MhByP2PTm1fw/vH3UbMu9iuDz9JlFgvmaHZ12PVO4F8srBc1JF77uQRZPlf/76jx88zzGms6LO1q4CRzTjZqO9ww1kn/bgzERb0DMMwzMyz0FPGdMeD1To0bFvsEzmIhbVT2zUNBow4gwE6DwacaBJaMU6eSPuHkfHZgwGWsGBYGeStsrhyCAT16pKXybRvoljzE4fc9mMlJLH8L4DaxWNFM0io7gcGtjjtnUquB7LMl4YdKHd0omZBocyfDYl68lIITt7yWyLonTrylMSNziE0te9NQfBOlfEy43uy1k+WccX8+r+2k9TF2yG3/LA4n7wADj8NlMXei6V/VmEn9n0V8WMvgzhpaz7DzPS/v9NN2EihNq3nAJ3PH7dmMVODBT3DMAxzaqngXl9SAs1ZLvOmiuOeitCwDjjl0mi75tjxjyk3LAj/NJKHzSKs/mJs+3hQ1nqKl98Xfgbz08WkbUWBSoLeLMl6PxQ8gppsG3oiu7Ey9A4cSb6IfdXPI2BEEQ+uPQFn4tyzvb8Bwg0QbVSjuAwS87Tejp/Z8eZNa4rb9rwKued/yjaYyr2PTKaBhf2Kte8BerYAcy+cuqCnLPNk2d/wATUpJihBJ5a/RcXji/oGyH2POTOn2afHsVTLvQ/hWBFtm1ReACXmabqqHdj0ESDRBcTn2c8Fyvb/wleBvNNnaV6NU3LOHTgZ6igOpDDMGc9xEPTMKYcFPcMwDHNSkJalytIJnwZUh4rC/Cjh8rS+NBxLaNYEQtP405WrXBf7WJDdCWX911qrIKoqu0WfDkhH0JO7fNYcRthXD13Y4tGUOeWmnjKoZBuQFqV11r2C3k10Z1u2JbqiO9EX6YDUheoL1B2yvgQyegIN2uUn5mRG9ithrlpRJujdjPyF6Z7NqixcYXrPryrssNTlXjS0QfYdsROuRQJAf5ezhF6UJzMQVbxeguqmL/TUTj8KJNoLWzt14CcS8oXtSCTXLYEc8sS4Tze0JeBJLHc0gnEg2gShhyB7yePhKLRtgigrG6cGLdwa8Y4LrvQM+IlzPwLhGeigwQtkBtWADsMw6g9z8TML+lkLC3qGYU4ZljSRMxMI+coyEDOnJbInqQSwEh09SejLGibMaF/JGi+7RoG2OERAL1pcKd7+aO7003EfPgp0Lup3f+q0EfSUu0AOZSAifoCEtsf7IO2UnUsbA4j5W5TAd+eNuz9PTD253BOa8Kna8qRvKVZeR/CkZFiWRhbofqU4TbHy3tJsZmkiPuHNeg6612WhAjWNELEa9UIs+zsh5q8Baq6BmNMPhJsgRA+sp788foMqvjwfp2SQU3WxL7fKT2IgoOIu/BFIEt2uhXwCNMd7QCW+O5qgr182RsyP24ZFV0Nuv1/F2XvFvFpG5xVpnNR+GOZMoLSs5CzLcs8UYEHPMMwp+yOyue8HShCsa7gFEf/pX1bkTMTrli4T4yQ6G0/DDGchYwElMgur5kzIA0PQl9j9RfYmbQFaHwGSOfVbREtf4k+UoD8docEJOZgu3BJtQe24L4BpYxB5LQu/NdFghufeCbPgnp/xFcVxc8S2gpcnxjtWygeE5JbvA2nPAMToIUjK/E6W7f2PKot8KWTlfglAO6RR6uEhzr/Ws28NYt47nFcqEoyuVX1i67pY955KjZ7iWZbv81Ygl4QoL8k2VUF/LEneIg3A8IGJ1/FTjgCHSWSoFnGP2/zR1q1dDGy6bYLEhgzDVPQKOpa/k1yY5pTCgp5hmFOCJfMF617K6GdBP8NxRdxU/+DLPlsginhwTKy8SljXOapi4yth9SSAnkoLpMp6b/Um1WCB2pcb501eAJEckDMhGj2iQXhc/uNBiEDxz58aMBjOALHAUePhZSIL+HSI6bj9zwa8uQvoUneUutArCl3AvvYp3zAiRmUvm3KXe5qm36aTxb46OB9zq9wY8em9TFIGdXKjFk3FuHuZ7IHc9iNV2g01iyB3PVAq5mmd1/4HonEV5MIry0qqZezlRhcEWgHsBoaPFE//7MvKvgfWmGR3hXXnr4Dcv92e8IeBvF3GT8y5YBzRfYyCnqzP07VAe+vOl1m2p7SbcD3kUQS9WHNz8TO53q9/L+ALAR1/gOyrUPqP1plKG1jMM8zkOMZBRGZmcJq+kTAMM9MpxtMef8scc/zFvDw0Yovn+TWQAymIkB8iNv5LvzVAQj4DmFaJe3rJfrtcMS9VLDYlTLOkhaBeIQ7XDrsu7r+zchZ0tb9hxxLsJsQjNAFrt51pm0S9tqjOjuVXoQB2LDzovKpJmEn1TzRESi28GQPWEfu4hXCBSm2gAQfKzB/yQWuKzZ573JWAzB491wBdEQqVmcx3Vzpu9m5SPLLOu6xruFnF47vXeLrPAbn1PvtDhFzgSYADkmqD51OQ+36v6q+Xl1ErbNu7FaAf9TxyO5jjSTJ0BNK0vQfkzpecrPRnQYTeAGAPjR4d/VUqWhzoEMverAYRKDs72i+ovL7/FPaXEkF/DIJ4EnH0SsR7p93BjaVvGivoa5cANQun3x6GYSZgKpU6mJkKC3qGOUFMNRv3mUZ5Airm5KLqvGuT7J9ZEzLtWG5JqA+QS3Z6XFErkzllmVefYTlCbeyxZJ7Eo0Ay32vHVDv4tbCKs/YiYkFllZ82Zd9Fa+8AtPZqyOFMcb+mVIMVBXQNos5jefWI3UKSPvskS0nklPgHeSDQoEd4MjXATzEU3jDO9VWu9VaxFFhnfDeah+0ya0R/eD8io2sxGrAT43khe3xIr0VLdB0ODT1VHMgTAhH/5BOTSSOtSiMVk7zRftKQHnd/+er3gLPfV7CCuy3A6GHPNN1DWk7bBZybR/sqL6XnnlwnEPLEbjeuqXDTV47fcMvTT6raoZ3/8YlPlEIA5l8ChE6BxxKVnnKhZHPTZboZ8t3Nl1xrD8gYGYjGtRALaQCFYZgTAlvoTwtY0DPMcUJZtjQ7iZSydh0chtQ1aHOm5ip4JlrovW65zInHIkHel4TWFIWoKQpW6rcHRv6I6mwbqmJz0Ic9qA0ugi/lEaNpo6ScGbmek9hXVm8qC+fXYR0esZdLE4n8EegiiKi/qaQNWXNE/fi0YImYV+2oYDFQxzkGQU/Cfcx1ICv6RKhBjLA6LsXuuxZ9te3e8etqe63c1qERaOT6X1vZJXumII3KYQ/kOeEV80TOsu+vSzIwgN21T6kEd8SR2Da0JWyRu6r+rYiFWpHIdcHyWMEFNEjKxE4Z52sWQYSqURtajOHcATWgU9q2NORzX1Z11cXZ74dM9QI9DwPkTZErjfGXL/2Hd4pGV5wM8+4+3QEb6g/Un8Y+e8ScJZCHd9t76D4AUeUco7oeIuYOZHj70wRWdb0obiczqKPWaTsPpwQtVGzHsVjoxztPmj8J8SAaV6sfhmFOAmxcOS1gQc8wxwFpWrD22+69ympJibvIQseW+nEpFfGnxx+UrDmKZL4btcHFM+qeJ/I9sGQO8UC7miYxT2T6+9AldqMvsxNLa65SAnxoeC/iI1UY7dmJQ9XP4EDgSWzU3qXc4TPGIAJaHD4nKznFrRsyq7wtBGUu7xqAr666IMopCzpRFOx0z+3rQuXPCMMaK7TpGsZrFyI/OoqcOWq7ZUf8jrV/bGZwahtZ9NU6nhhwu6SaCV+ZQJws5GlAMeQk5t3WV1wvb9qJ5PImRHVIfS5ZPpyBmOGCfiqeNJr0WGClfT8NzRbzAjpymn3fI74GBAJ2wjMhtBL3e3UfDz0JefhPgD8Ccc6H0BJZi4AeQ1RvxlC/x2I+6rjLZ4acWvC/pvpzgJqtTSCoE85do/tXOijhNL5kSqw6H6iqs7+7+Sxkz0EgMQSZsJ/twk+C13Unp/Oi8IujZJOn/bUuBCKzIEeIL3LMWe4nLH1FHgDmOIkxGYY5RbBB5XSABT3DHA+cF/5C8jBv3C3FEdcEIaZb1/c0xSsUZrOFnkQwnQEJylf7fqhE7LKa61AfXjblfWWMYXSMPIra0KJC5u9jhfrjq30/UJ83NL1XtTOV71IimNpdc7AGCM7FNutnCJhh1GftbNIknptTSyFTEgaGlcgmjExRgId9DUgbfSXHC/al1TXJW6UuzCO5Q2qvAb0KIb2mZFnSP4RovnReZ2A7ooY9cLAr9iiGB46gSVuMueZGZfF3oeNQGbWAFkOkdr7tRk8DbHsGCm0O6HGEdCeWmcIMypLzTXj9PN/tiVAJ+sbxBJhJGfaV9xDlHwjo0Bo8SQMhYMo8UvkeBPW4uk8uu2uexpKhYsy3Br2QCG84VIxNX1x9JZoiq9DV9wLCqTp7IMU5dRL6Xs8L2occ2GFPOCXOSPTXh5bAUm7qzvXMJQDTvaYpyD0/o5psnnaXP1fp3pJoHN+bQ5x1HmTnPoimuZC7XwFMA6Dyc9Ga4kBcpDwOXAN0bxx3vdOOiQdqhFgELKBXrbMw49Gjx8cN1yPoRdNqyB6nJF24ftxcBgzDnCLYQn9awIKeYY4H5e8+nvd3ZQ3NGhCtR08UdMa63M/gGC7Dyiq3cC/U3ow5pETilq7/UeJ4TetNBYv0YHYfqgLt6ElvQXWgHVWBtkkd68DokxjM7lU/Q9kONTBAIudYBk0sZZ20Gc11ImX0okqW1nOuybYiqydQn5kPn1VMdBfN29bHJGxhXE65mCfIjb4SndFtaE2uUBb3cpfqvnAHovn1JfO6si9jMWzX4yy5eGtAT2QPGgcXK/d92/NFQ1L2QYOGnJVAxHGJ99akJ+FJYdN+LQJd+KEtrrMz649XQu9YGacrU8w9Jd+jEAdV4/1UkTUK5y5rw3bW/yq7f2eNIfW9pL7tCnqVlV5Y6I3sQ2PKFrRkgT9UtRkRowYJfzH0wI2Jb46uhTVQGs4gKK7a81wkgQ+rNKN+kRSEMFTpM7n9R848GoByQxm8gt6bxI+Ef+X7Kta8Dug7DIRiENWXQFRTfzsEsWmckmmB8hjyIKB7j0snM5kEdi1O+bqZM6gzHkKQF4wDDXJMf09lJelsQS+WXg/Z8XuI1nOPqZ0MwzBMKSzoGeZ4UC5Iyycp9pcF/QSuvDNT0PemXsPu4YfQFj1HWS9bo2cj7KvFwcRTOJx4Fu3R8zG3344VTtR2lbh6v9r/QyVeDwI4t/mDansS1PWhpRXd8buSL6M/41gsKfdcZjcS+S4lrOhahXyVy4KNx6HRZ3Ak+QKW1lyHcL4asXw9jKFe9FRtRhXOH7M+WeNPFL2RvTC1okBI5ktr0bklzLwYWtHSLaQj0AVwMPoK4tkmdT7E4SpbLPitEHYP/QmGlcbGpvdDbwpjoO8QBkIHlXVZkkeCz6+uabSGLIUn0fWXQoe7E3aywERuwgz500G5/I9mIWpCFT2BVOK/jAHRFC2tFLDHyfpPZQXrIk6Mc9m2Tqk5SnyX8PcjaEaQ9tuDNolAP+ZVXYQDo39U04WBGs8+3L7u98RnExrdU4/7tTSzKsu60AwIsRm1ydeAkjwFEz0vss5yZ4AgErOt7x3b7Ol4HQRZ4OlH9X1qE+U2odCI0lJ2NisBPw3O0cBLwNm3/xhKuc18MW8jgFCjCm1AbbEE4JTR9MrWesqBsOKtx9hGhmGOKzPYoMJMHhb0DHM88D4Pp/hsVGW2KOFWdPp1f2d/UrwT4/JF1uIjiReUEA/5Sl26vagSaJT1va2qRGyTmCeOJJ9Xv8lqvqHpPUrME52jL2Ip7BramdE+CKnDbwWUGNcsH+qy8zAS7FKW+20DP1dx42b1G9EcKSZ8MrqGYJo57BOPjHnvp210LaAGBtY23IzdA79Bo74MrfXnqnaOZA+hJ70NSSMJX2YVavNzkOnvRrC9Bd3DL6M61wz0DWI+zi7sc/HQWDF/PEj7RhA2ShNAdkV3YiTQA0sYiDoCvBI5XwrDwW5UZ8mSaSOFVFnTA2YUGV+xRN1IsBujgT4sH7ioJCmbwulGHSOPoSlyFnqiu4v7o22NI9je/zCWVl+DWriiWiJl9KtQhEIoQEhHcrRTWfUppvtYcfNpnChU/g4KI6DnSEvVmJABq9uJH/frEMFxMpArN/exwpO8T9zY96wvoX68FEIZ6IVCOILeP3ZQwaeFVC4EF0Gx90Zx0EY+/xWV9A6LLoDs3QKtqwMQ7neWju8NZSgPgyi614tFq4GaJohgGGheYL+sqmoO1Leays5xvrPvFke800AT5ZnwA+HzAX0zYNIggX7MtdlnC2LNB4CRg0Dt4unvpG45EH4aIj5vFg1mMMwZCrvcnxawoGeY44GqpT21EU83WZ61b1BNa+1xiMjp/8JY2eX+xPxB2Tn4oLLIkhA/u+nW8WuGO9nTBZUi8+sYyu5HZ9KuO+0SNKIQeQs9ya0Fhbh00BbzRKAHmOM/S1mOO+IvoDG9SLmsR/I1yNQPF5LA9aZfKwj6TH4I6b4OtbNgdWyMWKJkciZZLgFs7vse5g9vRNjwI+cbRLCmDlsHfqy6Wt7MITm0DysHLlXr5nclsEhOP1N21NcEE3lVbo7i04nhQLcS7AGr6C7fHd2FpuQSxKsXIFwnkNl3kCrKF5YvaL4CLw9/176247zYk+An5i+5EsM9eyB7i9fgcNVWbx69SQ8AkaeD19thKHgEYbMeh0Ivq+ldw7/GefM/BLl/GKY0lFWfoDh8TfdjM36KBXKDuva2oJdO4j9b2FG2+5KydVPkuCfKdHMCeCoQFBZ1DBaP25eEoEoEldo0lCm5R+RlYntSKKf7cQ8d8MRdu6UGqdKHqu5RVhaRKia4GEZZkjrLBFJ9kFt+6G2VY3Uvz0vgKS3oRQiI5vnFyRJvheKxi5Bb/QrPdDFGXvijwLq/VjXqVQm1Yy3lNksQviBQt+TY9kEZ8te9V/Vx2bP5uLWNYZgTAAv60wLO0sUwxwhl1XYTYk1azJPVbM8ALCfbuJpX4WX8dOZ4JsWjMmHeUmEuJOYJigkeF0+CNOnUjN428FMMZfepz9WZVtRk2rBw+FwsGNkIsT+hMnv7PPWvXVw38NpMeyH+PJavw/bBnxfWMS1boJML/pbe/y64dPitIKK5WvjM8UVD2LCtr33dr+Dpzi+Mfz1UwruJsYSJ7fWP4mDVZvi1KDThL8Q261pQiVuary9uRFfNHjTMX4/hoBtWINT6GT2BvXXPQm+vRShai3y8KObJ4h72ZPZO+geQ8g8h40tgMHSkMJ+s6M2RdSoevjrYPqb+fOVxgOI9i/gbj3qu5CnwauxXykW80B7Rp8r2lfZDE5ZmQorSAbo+axf6rN0qY75oiEAsrIU2r2b6metPkLu/cr1P5dTzhfoyJQcsp2Ct93ixkHAnLxJvIkM7oaB7ncf/ftL1XxC/DMtqry8ZpCCPIxG2+5QkoZ5LQPPUJxcVn5NmBeHuCb04+1IVNoFY0StAtBQFPHzevkMu46Vu/lNFBOOl2enPAAv98aLQF2qdwYFY6yltD8Mw42CUVmVhZidsoWeYY4AsuaI7hRiKokIeGVUv/ROhEuWRZXjgzH2QllpZ5TFZO92SgdqSeogyq+AkdlBwLU7u2o50g31P6tPzEc7HCyLdhZLGLRjZgJw2/r0rt0bTNm5Zr5TRp2Lzk0ZvSVhwVa4R1Vk7QRcJbaI23a4S1uW1DAbCFI1vQ+78Y89j/PPOa1k1YFCp9FhV7XzoTfUIHszDMDMlLuYkWOPhBsTb7bjXWKBVhR0HKVN9dSPm1YZVKIP78l4zZzmGR7dClz70xw7BrdhNRAKN6K7dpzwVAmYEtZk2ZVFtrT4XbdGNdvZ1MwddBJwM/BPgOdWF8UsRlLU4lHhmwvUNvTTrObUjpkqOFW8CHTcfzMIoS6y2t/pP6re/phl1oSZ1vr1yFwyZRBPmq8EZavdMiFmkuvculPF/3PWkqQS26zmSNrKTut4N4ZXoS2/zWAV8aI2WJjR0keSunhmE3Pwd9R0Xqy+tvFN1D7SjCnwRigIbLgc0DXLni0AiDcxdrkrLITEM0XShI+Tp+0H9nQZcKlQdmAp+z7P8DLDQH28EXb9NHz22MngMw5w4WNCfFvATlmGOAbLkzsmvQtCKqnhbQqbzQKXSVTO0jNWst9BbUokTqrPupzrgwSk+1iyp3Mpd62Sozw9/TaiQ0bsSIaMKoUI9ahs7BrtWZZEnwerFb4YKgt4bmx+SRfEcyxUTpZGQJ8HdmLbbEDSjJQMLITOGOaOr0BndAVMYatmi0Y3jtncgfAAZfRTzRzaMWUaCmJCLLfUHwU2Ups2rhgiVZmNvqDoLMjmiypFpbXHUqcRinvPUIwgsnoP+9E6sr77FbrterURjQ2gZRvNd6nNOT2Fv9bMIhxpwVuwG+/idz0Hu34xg7DJILYxVdW9DIt+NsK/Uw8GFBjkoEZ4IBTDXd8HEgt5DXWiJynGQMYaQNobIrF1YRv0gV63DHMlXHngSRcvj7qHfqPsaytkDIwF/HCFRKqBFyAcjnVIDBe7z4WTihpKUY1gZ1U/JA2Oq1ATnlwj6SqED0jIhNB1yy/eBVK9TA96CGD1UcH1XdegVdK3dF8qjZ/8XuvP9XrYRkOdA0MDaijgwrAF1q4rx7go6FnnajJPJfjIEPH38GCpOnMkI9mxgmBmLWHI95K5fQiy68lQ3hTkGWNAzzDFCYrTcoihHshVd809puSq3pnbOAMgd9hQPKnhFvBunfdRtnLhlimEmcsYoUpk+yDxZGSWQyaE2WEzmRG7hlkewqX2QJbg3aZfuolJimhxTM32qieNItFLtbtU2KqImSx+tJDzTGFvOzbueazEnmlOlMaxBvQbZsrABsuhTybDhQA8WpDZMGEBFpevSvlEl/mv9C1WSPQpDaI4UM1m7pd4E1SYnV+0KAyP+6jhkTi+4UlciHmpTPy6r629UNejrQ8uQHvlDSSK8ljAlzbKRHY/Y1yH5AmKr/xwiGEA82F5cLiWW1FyNmL9Z7W+PfESVqzvPV0z45wr2xdVvVAMsvent2Dv8u8Kypshqda9I0B9MPI2RTAdazeUl2+8dfVgJ96FgpwqbeCFGYRE2w9kDqnpAW9QeGMnrGeyrfh6myMPQstiUuwXIFfu1qI8guc8O3dD8flU2zz4ZnBQou30l3NKC5f2+HAqboPwDzt5U8jnhSUDnhmkoSzwJd3Kr7noR8sCjwIq3AanDpRby3lcBfZFKNBc16flDg1zeNo5Xxm4sQqwAlFdEAMK/HoUchyXQ8tL7O2UCnoG7wLEnSGQYhplJCMqZce5H1CAsM3vh4WaGmSaHE88XsnFPBuvQ8MT11pM5FYt/ImuyU4Is68ioOtZ0GMzsU2EGk6p/Ls1xlskxls+e1Kul6xgWrP5USeIx5Vq/d0D9KFEuJfp2vwjZQULX3mfv6BYcSvwJiVSnSnanqxd6G9OteZ23VAIwEvNEKju2lroXXQQR0OMqQzd9Lifmby2IeSLia0DQipXEgvs9ieQqCXqKWycLbtRfzPLuxadVtnC1JpdjxWAx27vXxd5bh13FjguJ3bVPKTd6KoUXqW/DwvhlY9tUF4bWGK044EPztKZYoW75ZCAX/obwChUj3xpZj3DWROOogUVVl6PVEcaF/dOPtW9MxQclGEcOoaqnAxF/vd02IVUeAJcVtW9GTXCBOifKqE7Xvyl8Vsl+fCJYkpVd9UHLUEmBKJP+QIgsyDZdsR3YU/tMyTG6U68oy7brYUFQIkPlzi+ADuMpO5GhzKOzYSdMX3Ggzx5Ycr7bp7hKEN2LyUAJC9N+t5489Sl6btgDFEQ8YA+4kHVHWeOPPAvZ8bBKcCd3/WKMu7vQ3PO3oKsQkaN4Mp13DcQyu4+IBneQiAaBNtHQDU4G1NfEulshVtwAET45x2QYhjmZsJif/bCFnmGmiVt7mSzN5MLq04IVBV8JbsZuMU5pK6oVHdCB6omTOZGFbUv/j9ASWY85sXOm3HayTovY1OJBSaS4rs9nN75n3LroJORf6f2eis9d2/CuEmHY3f0SqgbiyDYaSIcS47fvyIh9PUYywPxaOy7eI+6tXBaaLzCmTFosUYNO+QqiwwEktGHMFWuwt/oZdb1z1ijCWp1TkUAWzsmUlUVFyGe/vAeUq7R9DiQSKSM6JYzLWUkVN12exI0SylVRrDkJohwJRKlcsynuvSG7CCYy6A8fsNd1YuHJhZ3q26vj6XHkzBHlDk2x+CROvR2G1lXJ6kRAWVipzxmGAegGcmYCWiiI3vguNOWWoQNPlcSO0+CTSupWFUQgqJ90L42wDGFtp+NlUR8Cev8Aa/gAxOp32rWrKdO5B0n1sANVWJtoRn40i+DgFmDBtRW/QLWhheqnXLjOiW0qlBmkLPU0+CLzabvWthVyjmmio+GF0kGn3CjgC9sZuycJiX87MzxwMPsnDOb2o93Jop42+pVjufLm6BPQa44tYduxkIwMI59NqISN5VCiQwrpcHMmJAt12s0xnjWqRj1dq8E99vSBx4o7yo+t7y7ouuvuYKI1OTFd3wqcfTMQpHtOIQJzcLIRkUaAfhiGYRhmBsKCnmGmAWWPFlJz6jNLZZWjF/l4YO7EG1JG9aMkbaNM1UeTWftH/giRtWAMDWB3za+BgFDuyJXaKTtHIeJBiLhHQJilJkL1Ui5plLZCPKxBbvomzEDRHZYSu40n6Edyh5ExBwtWSTdZWM5MItBLdr4RoAvYX/+4ml+TaUU81wzZZBXcvt263ZKs6YeHkWuVCObteN+0MYiRjtfQgKVjjk0Cf+6o7UauhDdCKv48q6cwkjui4rEty8RorouGYSa8xgES1NUhZdF2S3/RuehOPKjXKj8etD71DSr1tnrkWoT0OJL5Xpg+iUVzrkLv7ufcq1zYhtYhS7JtlScJ6IPp8dqgwQRb5BfbYEGo8mFkfaa491VNK9Qg0+5u242dWF3/drW+EvGhqT365VAHoPshqo5RTKl4amefO8mC6zB8gHzSC4JeUqm+RBfka/8D1C9HhBL6GcFCfLbfFCqB3mQSbbXHzsehxOMQMNT3ilz2tVSfkpPSHDuYoy71iGupHwaqx/9Oq+8NiU739PxDQLqYdT1tjhW1lENgMn1neri15Eu/x1lzVA2wuXH82WAanYEtiOXqMSdBcedFDldtKYScLIhfjO6RLc4SUfC+UedtDENmckCqUu4C+m6N/X4pq7zKnUG/RSFLvew7Ahhj3e2lPAtC1ECcurEPhmEYhpnxsKBnmCmQt9LoS25H/HAcS8wLsav2iSltLw8+CWgGEDrXnTPm5Zsy38tasgwW3WJVSTYqRUWW9foIDJnFguFzlAU325/E3ujjqD2iobbhfGhNRbEguxOwUlkYiSH4vWWDPKXa3PUogZa2oFbVkFYv7DRo4dNh7RtUzZSteknpNZnMQfbYda1zQbuGNblXm1ZRJFGNb9ftPWu4rrs2VJ+9KtdkZzt3Mv+bNT4MmPtQh4ZC0qxcchgv9/4Uy4wrEDTIKp1C2KpCkkYFKlCezZ3KzY0EejEU3ofqQDtGkh3wH8Xn2RU+osl2Pddaq2B1jipXdNB9ifoLyeO8qGunPABsQrEG5Ia70Jhrhx60B0Ci/iYsyzRBDGqF0nZle7EFu0wBRgpQbtvehGoTD/eoGHhlyQ+pAQVD5pSIqgoU49q9kEBWQjvaXDnBWWYYctuP7IkFbwCSXcCiqyDGEdOy4w+Qo4chVt6oalrLvu12ua9wrcp4XnEbr7in6We/VJzo31G67LkvotoyMCecQNTwQ4Z2QtQtc9o6CPhjBau6qve++/8PmJ2Q4Siqkn2Qe/4Tm9IteKa2C6PaYaS0PqRFH2R6EILaWJbxVxpZ+zzKrrz6jiQ6KfkAELNDJVL+QXRFdyHvVEAoreRwoqEWul4vxWcAeaG4+RfSytouMJo9BBm0MBrsxV79WSwaJhd2Gzd5Y0CrUt/p5uBKDCe2Ie2TKpenKj2X7gHyKVjGCOTo7x13fFLddN1p+8rJ+GryPiTdxwhFTSxZB9HYDrFwNaynH/SsqcHIBxEoS7rIMAzDMMxYWNAzzBQwrRyODD2HkLEJOnxODHTJa35xmiyI+aSdVInciSnuu2szObwCbUtV3rGk0acsrlT6ywvFeJNwV59Nq1CWTZE3YUbyhdJolFHdn0xDy8Uhe/ohG6sKwowGAMiibVgpDB7qRBOcZGtlcfpuEj913MYo5GAasi+l6nQXtC9l73egAQXj0CDyVgLawVG8FL9fzT+v/kMQ6eJlsLJZ9I7ughE0UdvTWGKzmzdSWuoq2X8YZm8OWX8v0qaGiK/eyT6fgt8MQxs2kD+KVb14o/K20NLsQYF4rhFH0o+pZGhUU74FtgAsh9zXI34aTHCsh851JBd1jRIJej0YlFeDadfFdgZIRFsVpOde+eI+6L3U5lEgSPe4uH1pyUI5tnRXehgwMkAgCBGMqFj4iFE9YYEEul+UWb2AEuvdgJGDjB2EiM8tFaSHn7IHmZCGWHQB0HwlJB1z30OQZh+QzgCZYuI0FR/tXBerb5u9/0AMomaRLfYP/hGy084tgcFdkJYBufe3nhZmHMFHgw7lMXvUB+nk3Ph505kui/emDOoQmJu215M7fg4suBwI1UFu/4m9zrxLgJYNQOIIZN82LPeHkUuZiGcpV0MxPp88bPYH7ER9i4bi6DfS8GcS0GUY3UHn/iR7IANRdS9krKUYf045GRx3fTVw4NyYodDhwlNgvPwa3uSY9uCZLCR6LEd5q+hCfR8R0KE5z4Wytew+VjbsQG7+Y3NZUO4BoyQ5oVsxwL0mrqeRzI5iwQ66nz50B5NILFyI+lCTEvP2uu59c++tnThvPHxSIGBpMISEXwsoMW/jHYTTnP4x+QR5DMMwDHMmw4KeYaYAucraMdP2i7oqm+UVaeR+b+WUW20ok4GuVpMAlf8iV1MSmaQDu19BNtAM+HQV2x2CR9CT8D/8Aoz9wzCXbUBAbxzzgm+FcqVx0dIRA3QM2j6VV9ZzgsQ8ERoJUoOVNVbmqM01dnK5ThICRfYNP4raI7V2gjZnH4TlESd0jtRuypaudJejI0Z37YCQeTSGFymRIIYT8BlUDk0gK0qztJdDLvIExfUalBNexZ/bLB46bzK3x2mo6VwHy3bJVsJboDbTjsHQQbQkl9nzhMCB+CtYOLoJkbxAXhuAr6oRYoQ8EsyS7NZycDeQS0A2rStasfMvAilyGV4C2Tuq1pcySaMdgC8GUUfCy2ORJks53f8Kj11BFzDXC/ho8McRbG5d8FxW6Z3e8F60plaAIuvVNlEJmfQWZK+G8Gt2ArmeV5TFfdnhYeyM5bEgVQ259T5IJZIMiNbXq0EP2UMDTDQvD7n3cSC0GPI1GpzJeoRZ1BFrJISp/eSZ8VRxWW7E3g9lMPcMFMndD1QQ7W6/pX7ltb5anuNRX6b9uAMelay03vV9yivAi4rl9sRz1+bHxsHPS1fhQHgUbZko5qSj0KGhSe3S/i6S6Ez68ogZfvSp9lKTBuDTosjTFzvlcacnS30VeUBYkFTXPZWApAEcf2lpQ9vdXIPMG7AyOWihACQlf6TBndYoZIRSIfiVcFdkTVgHSr83Vs5UXjHFEnr0BRxBOjcCA+SJYbc/78sgn7O/+y5HYttUCEpC6wEsrZAI6WDVZswdWYM+bQvag+vtknPd2yB3/AbCGWhqzobQvLcbMncAcBxLvMMVYv4KoKoOSA5D7ts69pYFgqovhyznWaUejt7BBvpeGE4/47KeDMMwDDNZWNAzzBSgF+iQVl2wqPrKPGrJGpYy7KRYST2HuKEDRsIRzwaSuoWUnkKTQa+u9PKqF2LNqQQUuejmcn0QRhg5EcDIvufQ2H4h/GUvuIFcMWu67dbrLCfBSHXZD48tkUbk8oMAxZZnNFiJFEQoaJdvc/c1mIYQaUhUI5HvVJY6lTiOXOw9lk2y0OfNolgg13G/FSmUiKtP2+XI0ii6pZeX9isyNuxgqlCmeRE8hFF12qVWUWEakOQ6nFyIpH/AzmpumdBkFv70QUTSa227sDUMJO8DfOcBIgZknoPMXQrIasjtP7X3FaqF9Ecg9z4EMWqX85KHNwO+1wPpDuCl5wH/nwMRqQQTLLIIU/14zXZVj8QBSW779rWkzPn53CCCFDOep/uQAurmAUM7AHM/IBoBrR4YPYKctRt7QvuxRr8Ikc4hyP4OQGsHguvhyyWB578Fed5VwKERyCOvqOsQRxAbh5o8g06OK3jnI07fI6ts0VNAvvZfVBCvTGhlnOlSV3QbT9kzGXTWCznz6T6QkA47n8ut1dIuc5bsJFcSz/xSEVp04ab2Bpzletly18Jbycoty86F2iSUkG/NRAqCtXQdDUuSdohEXiTRF7DXiacNLEto2FzdBzUm5lJI5ud4NFAfSw9B+mOl69B8EuH9ByAHfTDXrECq5wA0EUD20CGktRE0ixXQaqNAIlcSvlE4m9Gs+qFKAGIODXaMKqGcJ88KIZAzs/BrJoar+hBIOcdVVQE0lbVeWjmVn0DtyxdQyd6yGMRu/Scqxn3FDhpAeAbCe2/VNbKK4zGFK+u5tpoPoqoWqKqtLOhpILSuxnYkUNPeCyggltwAefAR+3tgncxQBYZhGIaZ3bCgZ5gpoksSFfYLp0autk5yJyKZd+K6laVSkjMudCmRMzPIGAkcjKSQp5jsXM4jj4FEvktZxJP5bts6THH2JFTNZiQSnai1GmEZaeQ0S9Xe1rNerwByQbYFSdIcQHjfZmigxHAx5a7uJUPCSTfgNwJK+A02DUHLpiEo0ZWy1pGUbymsP5rvVAMRRKA3Bl88qLKmkzVdKuFnM3d0XcVrdfQYYtfVXF3ZSZXRiueaSuZRxneNBGvX84jpc5EPtCIPE4bsQV/9Lsw/EEA6eK6yjraNLC24bMfyI1gxkIckrwUleGk+Jft6Rg0ACKQgX/gP5zFJItAH+dp/O+LSdEQk+R4kIY1fl2btTvVBHn4FyL8EaNfY82hxgsTSEBCrB7QA/Lks/DnyKKCyco6XRu+DENZeZ0c7IK16mFoIhsgA2STkyMMQFlnxA5CUod8YtfUaDMhXHwdSox5rJw0FUTtzFVyY6RySECvOgdzuuMkrih4bop0SD6psiZAHd5ZurusQqy+E3PWSskgXLeZFcS5a2iBH+p3lHmLVqnli5SIg1wKkE0oIYnQQcueL9rYLVwOjA8CitUBXB+Rovx3aMEx92oQ4+1LIbc8CmZTn3OJAtAmiZjHk4aft/cydbw9+FNqQL73fatqN/84U9iXUN9REQFrYNBjFkD+IKiMAn9SwdrgBnaEkDods0Ru0NGRVrD1dds91TnbboTfeASspkdEMhCyJIweeQMyqKbirR8wqmL48xGAaGXNYDaRFRZWdcT9UV5IEUOWwGM5AVFMJh4zj2EASW+K18K+RNAaxQl5iDyIQlAeARH/KHnBUGDknAaDdPjo3Z++YDJ5Hn22BrwgNapgQi/4cSL8MOTJk93WdEiRShQ4qg7kUojEG0bhGeS/RgJkRbi55RjIMwzAMUxkW9AwzRXzJQcBoAHQfdDlOSSsnbjWjW4haGjJGEjBNzDVfX7oeWWbpJV3oyJQljXMJUqxwohPDvhR0Laxid02LhP9CZeXyWQGENFsMmjKHRLIRcT0B8jKm+PnSdtm/8sKCXxoYGNyGBmuOylwNEu6FEl1uRmtPrK2VQFWuQZXmCo54xbcrZMepba1cxwVA1kBV81uqa6e2o4+aDnOcmvX7qp9TSe2oTjtlcO/TSOjagj6YlwhIH0S01r6O0oBm/AlBcT2CNDhgHEJtx6CTKozCH8II5W3PBlUO23zZboP5KqDNB0wqvUULcpSWziMSvRm7VWS087k4WFLiX6D2txDIbIGgIR3rSVLGgL7IsURTMrXS8xTGY5BkyRZ1ZPIvXUZiX1ksDc+xHJd42p8VBSxHpCkx77ZZ3ekSIU9JyMgtWnZsVYMLYu1FEIEQ0LYQ8kixvniB1gUQPho4sIByQV9VCxGJQ6y7BLLjNchOe3ux/BzA77ez4keqgGwacvfL9nH8QWDuMgh1/x0ozIDWI6hE2bqLVe4DEYoCLU7G+DmLIbBYfZRDPar/qOXrLwUO74I8uMs+9iYqf1cHWCPA4E7AlwHa5kJUV0FusQU+XQ+xjAagJOTOl5x5JKjLM97LwjwaMKrL05Wn+5CHTwYwN12FgKUjaOoIWz4cMIbQr0zihY7ghKPYg3uD+l4ktMOYm78Iec1CyNIRSxdDbYp5G+xpKl2oWptJwU9CO90HRIuDbYTVnYAdDl8U4Fl9BEl/vwr/OBB5AvNGzy1+DzPdhaMRyxMxdERGkNXs77CuQgIqe/eUYn8PCkfVY0CtnRjQJlS4dlTDHcE6dc9lfitgPEXZJiFqqpzvcmPpN6hpLRCqRyIpS1JBMgzDMAxTGRb0DDNFdLImEqYBjRJWqdJ1TnwsCVZlRbNfUE0hkdbc5F7l2KXiaD+0D0nJ1YiyRFpayhYJlsg73gGAn9y2yfLnJOhqM4tZqgnDysOwSNy57sTub3vfec2EZqZVPK0d1+u0ZTxruTKk59CQnAudakipGHR3XVnZdd5JGkdzIgZlt6brYxYTiimdY0EzDJg6pc+m+Y61XIUOmFiSjSPZYKC+MwU9tR/N2Iru0B7Mz12mYp6VcB09aCcdxLByn5b5RwCtkYrZ25eTYof9D2Nuvli/PIdDiDkWZWHtAegn1AbR3Aq5/9UJEnsd3XKprOsFCzvdTorJH4S0yBKZcs4vTunoAX05YNiiUpBLe5mYL+xj3M+UUO0VW3C7ydrKt61vhezvtCeicYhQBGLFuaXrzD8LaFsC9ByA7DsMEasBFl0AIey+pxLBnX+tbQ3vOwx5aBdEc7E8Gwlu2rYg9P1F26oIhiFWXXDU61ZY3xX34y2vcT00fBCiBbIhBfQcUu7eQj9IEeGq+4p1ZxW2kdEaIBxVAwpi2QYIGlhQ8/cAyaKAFQ1tdgk1BYUYeAeasmM+N6tftK80liR1hM0gDoWzFfvKiE733ynLCKm8bQrfMye2nm5u1kwgoEacipCnTw4ZhOj7pPIw2FCIS65nFAFP7oID1hOQ2RFl1U9afRjWG1BtLlRHnZf0oTEbwL5oHk0ZDTWGBT0ZwmtV9n02yzMuxqohlp4N+dKjEwp6sfA6COGOUtH1EEUvjkhD8TxpIIYGmORhCP+lnn159iwEJOUjoEz6DMMwDMPMLkH/s5/9DPfccw9CoRA0TcPXvvY1rFq1atrrU8Kvu+++Gz//+c/h8/mwbNkyfPWrX0V1deX62QwzGWqt9TDdkHVTQqNkbha9xDuvt0poF1+6yRpeogsqQS7vVBNbcwS+vXd7n8pl1od+fRtajA1qSb25vLBdxd2RKy2JZBLQrjjwWMFpoCFl9MOvBz1GZ4+IoHNQlvSAvZzibqWETicu6IWcBKT9gl6EBLvjQk8CW52HRNQg6e2ehxxTNk+FLFgWBsQO1FlLlaUySLs3tiGQ2odYL1mGcwXn3ViSYuJ/A/ivdoQCxSabHgv2iG2h9VBNLsnqntnH1QqDEU4b2pdAzLWvqRzpAgaL9dJVpnwaaCBx07oQCEUhX32yuG3TXMgeEpITQ+0SS9dD7nrZdrGX/ZDWjgmzB4j5KyG790NknXjmYLEgt9h0NeSLDxddvEkIuxZ6qo2+6WoITYMcHQRcQe8I2bEsgqB47zktEHMGnOu6xllGApdyK/TZonjuMqB1IYQ7AIXlEP5qYHULIMIQflcQkzCns/Peiypn3+MlSKRsa5R/od/ZrtxaTPkIIk5/oDKMAiLUC7Hh8gmuIo11aMC6S5xLU7ziYuUm4MheyM69EO3LVIhBUdAbRVHaPB/yiD1IIxacpTwSitj3hvpteyaoMrl3RFxrv4Sefw6d4SBSohcRWUxwSW73IMs7ecGo/kuDWj4YSBUSWbr7oOR8dE/z+SOI6PXw6eRpIpCgEB0axFKDhs45UfmMjDuYV/xWU7vaMvb9X5YoDrhoHr9511Jf2NfidQVPCdlFAxIOIUr4F4AcoeO7lTAoPIMGdaiCBIWgFI5Q/Kh7rPhVboZ7hmEYZvYzuVAt5jQX9M8++yze/e5344UXXsDSpUvx3e9+F1dddRW2bduGqqqqaa3/hS98Affffz+eeeYZhMNhvOc978HNN9+MX/7yl6fgDJnTARok0qQO0xGEduy61w3bXdGccgI4qazW5SXwgJxmqpfxpNaJAX0H6kxvyTXvsT3lqsga7q2n7WS/Lz92KE/iyNNWEuGOta/T/yxa86WWf9uS77Ho0/ok6k07s3xGDCEka0qSWqn4dkiVub4j+Fv4ZQTNGT9C2iXFdpgaBoLbUGcuhd+i0lYkTMpcvMsTdLntMXc5bvLjlLmKVKEtJZEIDQLCTs9d1bIUot6uMoBMGggVnXvFkrPtxFzDQ0A8bp9f/xGgca5jeY5DwnHXDwmIxWsLgp4svNDnAXpPQQB6EQ1zAMOA3Lel5I6R1VjudBOJOZ4D5GbetghoWQDt8E5A7FUDJaKxEaK2HULXgY1vgCQPh2wGWpTqhlcDPR1AqBpCe50tNoMkspys9D4aElnpuETT9XrVEdgkNKkvU1lDCtOo8wgxEl7SEdAkxIchfK7QJtd1+9qJyArPnxVaj6bdgS0Sfh2UbYGGVwDQPetzjtPk7INCTuJO22g64bSv2JNssVgODXJtLRP/bg4BOPtcAiFIqDs5LhQxCP8aYH4VMG95sRxd+T2btwKgWunUp+n+kvdCiaAvxR8jl397UOD8wSgsdKHfZw+0KE+KkmeFK+bVUidhoyd5pNdirsrb5ZAyjqhBhoivyfEKytuDhu4m9gic5xj28egZUgnv/LZcSA1yqNwEhJMFH/NXAgVBH0U80IRRMYLGbNxzjxucn5KrVzbtaVf1oortYRiGYRhmaowT9Hry+fznP4/rrrtOiXPiXe96FwzDwHe+851prW+aplrnb//2b5WYJz7+8Y/jgQcewKuvel8SGWYKWCQcvZCkP3oyt4nxZAAvqw/vktYNSGEgo5XFxLsWZ/VSLico41a67LDfiSd2Y9oLuyt+pnjfSiS1biX2C+uThZiERf63OOx/SF0fsspTvekYZflX62XR6XtWZQxPab1oziZw0P87dAR+B8vaikD+j2hL2+cRsARgbh9zXCVwF7hu1FQDvMf5eQ3C2m2v006CtGjFVvOWnwMdAvHMc4gYOmLBOvhiJoQ/qly2RThaarX1+SHCKyFa3goRWWa7jLct9riRL4dYfoOK/RaLHKvvyk22+F6yDmLRtcqyXsTN9G63i8rcifM+TW4CxVXq1kOs/wDE8hsdP4QQoJGAnqesy2Q5FnoVhKgG2q8tuJ2rsmO+doxml0GIOIS2EKLlTRA1Fzk7jkIEVkIsuxli5dsgxFpPDXhqz9mOKHf/FOiOKCv/0yCcdpG491r5K0U5zwFAnlLe7wVZZmlwyPWOWqC8Amyrbq2zz6aye0fHW+4ZbHC8UipC7fJ+Mxc7x6NBhbOc/XvF5rmOBwIdY21FMS/OOh+C4vmb56v4b7Fwle3W7+0r5K3gJRRBdOHGklk0oOV3RHOgkHTOgQbCxuD9Plr24Jxn2t7OQCp7xMkdUe6lU3oMN2GmTt+rClAZuSXJMJYmwpgbmFMaukGDRtgAoa2AaLZr0yPaihXN78KK2jdjTtrN4l/+7HFdmOi357jOgJpqozZO/hGGYRiGYWanhf7hhx/GnXfeWZgmF/qNGzfi97//PT784Q9Pef3Nmzejt7cX55xDWXRtVq5ciWg0qtZZs8Z1J2WYKSB8kB4hVmXORVBOHPN7PLAd2Q3kC3GqpURMDQmfWxB+rACPWt6EVZQXP12yrgVzzMCESVG7rsXdw0H/o5DCxIh2EKvTVyKv2ecfNXNYOxKF5iP5LIoCIv8wOQcjQG7EOtCQs1/kl49mlFiJGHvU+q1ZHRJ2rC6tX9FSSpCoyqap5huszX+E1jgHCFOZORNouh449P9zRA2VgGsBgvaAHlnwfcFeuz58lFy2dUdUkigpt6ZLj1Aki/mA55Hpg6hbpn5s74aDEDWrgBq73FlBUNW3AP2Uvd6xYC/7M0ecRiG0IGSsFhix9yvEIlvzhxuBORdA9u8AmmmwgAYRRpx74x/nsa3BMCKQcsH4Vub65cfxTwC5xJNLuLdPTQavoPRPcvs654cE+kTBCTRQQM96sm7nPLXra8c5vl7WFjfPBMXeX6xKz4lqcu/3Qv2krF96cgWobZdtQMQfw1lVq+E/VEwyuH4opsJc/IghERSwPHkySPBbnjwUh/xPoNFYi6B0z2Fqbo1ucj2VeV+zIKR9rvStHA/3OymqyyzsWsgZDAkAC2+CaM2phHU+IVCrL4Tl7jNUO05jyo5ZtQKoXQURaS0ZGGEYhmEYZpYL+v7+foyMjKC5ufQFr6WlBc8999y01t+7135B965DLxA0vW9fhWzODtlsVv240HEIy7LUz0xlx7YeDl85CpTCKZPOYKCv21OXe+q0Sl0JWiIgq6Zx2Se/RR4p+B0rqGGZyKOvbGsNuiUhTQE5zrc5hQFE0Ixozqey7u8JP4sR3USbx7OX6l/vCTyG1twyJH2j0PJpDPmA3eIVzM9vQNhyxYXECMXzKnf9HPpEryqrRYMNu4IpdV2XeiyG/WIPOgMZZLUGhM0uGIaOIcvAC+EUslq1+gmagwhK2yWZzlAKDRmtFhGzj6Sqc1SB4S0vjDk3EWuApMSEGXLXFsCuH6Em5GTyFhLDeQNy64sQVQ0IWEnkxB7I3g6g1w0/cPfpXlW37VQ6rVwcu4kFvSXexoOSAZrwx0LIK0EvII/8wQ5HdwhYOUTCKSqMhtEtXy/dnPTVju+U9N18yN74yYH7IVR1hWKohcpR2DdjHK5mMO79fbnCfG/oigSOlHuo2GUd6Scc9cNnpZDo7UN12I53T2lNyO2zPUXUXqKtqDY6Cv3Xgg+65sNCin7xPH6o9KU79pURwzgS2I96c2MhYODoZ2RA8/wpT2vAqG4hJSTCOR15TVMRMKOaiV1OW902uf+7pPr2w6JhB2e9oW30/XArAYzFF/NBkznkDvyqZH5NiAayqGhlFiPlfZug0nVbtk14XhSewH2aOd3gfs3MJGhc1e8/Vi9T2yt6nzUAf8T2Ik3u/BZOBqtarkNdjLwZT18mqz1nhKBPOVm8g8HShE007S6b6vpT3afL5z73Odx1111j5pO1P5MpL2s0cxhRtZmZo8W/m6aBXM46JutQS2jqf4wTWhdiVmnJqaMxqO1Bv74DS/LXqhrkFsXll3nWU3x9lelzK2NVJEdWRWf5PvFrdAd64bNqnVrr9oMibNUgoyfQLV5R4f95vQbSqMOwvxuv6g9hY+otjpVYIJijHAI+CMvAEd+rqJMZDGkHkPBFlTjdav0UK42/UPvdF+hEXpAVM4WcZg8K5P0k3gVywu/MD8KUoxDSRFqrUcKHLK0ZvUYJ+oBMICdisCZVTgtI+20pZAkf8k6WdnVc5VlR2cPhRGEPfVQuR2hoQFZWwRJ+Kmp29J1ZlAXdgiGSbN08xYwqd3HyChjBkD8KHTlkVRx7aR9NK68ZICeq7IEdOYiAvgOtxjK7QoHC86Wm/JDKel/5C/1C5IeIWU1YnrnC3r82jF7fLszLFT3RBn0H1T4ChgaDylOaPjs8X0gk/RryCKvvVEarppR9iFh9hWNRRQ4S6GlnwNLQKvddl+Kgw2DF7yDt1RgTJsQwDMPMFMxxwrGmgqp5IpIwfPazP2NRYtsTT39/H4zUsQ9IzGRGR91yxLNA0EcitgXSaxl3p91lU11/qvt0+cd//EfcfvvtJRb6uXPnorGxEXFKkDVDCYdm7mDDTMGyJAaHBlFbUwvNG788ReTBvnFz3pF7O1nLwpbjrksxzhTDTi/75YcUGvymRF6ND9gv1JTJnmLM49Zc9Pm2wBAp7NEeVB4BmuumS8mwhQ5LE+gLb4WWHUCdflGxUpQU2BV8EItyVKYNyPkG0adtQdg3B/XBJRjQ85C6gJXNIyrrYFpJ5Q4cMTSsGI3C9MeQbLbjgNUgAmLwpyPKUZ/cg+dUXa3KrvlTuxEeoFj33aiFHyPt71DbxA/9BHk8pOTs/IaLHZddt3/SdfF5rN0kJuIQll+V0TMpW3qJmKE/CvQdJtffBmf+qDNtDxTYbu80bbsN67kBBEdeQ7Z6DUy/N8t620xKGzLtQSkRcjsSXVOqPlCFRDKFWDQy1sWZmSYZp3+5LhXUh4sZ6idLpO8p+DKdGG27GpIy7SOLLvMJzBk5Sw1g0UicX0SR01KqYkYKR9T3sF/fijn5TcXCcOS1IgYRNgVq08PYGfo54mY7BvV9qLJaCpnqtwb/G0HTQqu5BLGMgOUTqM4CPl8Qlh5Ce+wvIbVuT27OamhGJwKJI8hHF8D0L1BtivQ/CdNXhWwV5VeYOuH+Z+BPH0KmZj1yMcprMUWk5D7NnH5wv2ZmGJrQEAzpx/xuPZoYRV12D3wjO9S87JK34GRQX9WOoN8OqzxdoUpus0bQ19fXq1Jy3d2Oq6xDV1cXFi1aNK313d+0Tnt7sTwOTVfap9eCX27Vd2P06WemUl0z/iAFU3RbyeZGUV0TPoZ7mcbwYQHHgDUGofthmXbivJjlR29dF9K5PozmOlGVa0NOJBCQdiIpvz+McCCEEXNEJcfaHv8VpI+SRelI5l4BsmmKREdeG1HlygSJ1lwWA9H9aJHLka3tgU8zUJvUVSU59Xqg6QiKIJqrGiDIZ54erNUkTw5hadsqzBW1ONS5R81P1KTR2NuEvJVC2hhALFKHJn8rMHc5RGCuY80mEd2OTKgbRt8Q/I0jqGukmPrzVGIx2f8A5J7NEEtuQnOdHeNuJbcDg3uB+qVonnuZI7RJuNN5T/XBS/HQPU7CtNJ45YmhgQSUZUo/a6Y88o57v+7p6UFTU9OMfkbNThY6on7+mGSLk0G2r1KJJ5v1YgK4xuwQZEI4/VkgvHgRoj4/hrtfRUsmgnx8PeZpixDuq0MqPYCkvgPZhmY01K7BRn09/PkBvDD0S4wiC18qCJkbQNY/jIxvFKtz9ZBzL0J9DWX+r4aUacjuP0BmAtAaMlgS2+BUGCDL+3rn+0AJMsllkf5OOonv5h1bjhk5ZyWQ7gcijdPyJuE+zZyOcL9mTtt+bfWgSYwAQ1RVB9AaJkpiy0yFyT4rZszb7eWXX65K0HktUS+++CL++Z//eVrrr127VlnVaR1KlkdQSbtkMokrrrDdFRlm6oRKEo9VBesg8lmMWE6dcE1Dj3gJ0dzV0MQ+tM1rx4HRAaRGfNiVfxTIJ7E0eZ1dJ5wEgir5RmZlPxCqU6L8nOYP4Pnur0PqaSA9AIQjhQzrMhhFr9iBQDSPefF3oB4+yNgeyH2HEJHNMGEh0BZHe/wGDFQfQF6aWBH6C+iUiE2QhboY4+vX7dhuvxaF8OlYM+fvIXQqFed3spAXHw/BxiYEaxoAPzmRUyvpGgQg6i8D6i6FEMUEYmLJdcDAbkAljXNF+NStmza0/bHUq/aOPLNFhJkqlPBx+i8mSsx6xDxRE7wUxuIhiJE4ZJ0fPse6UNdObvPnKEd+mcnDGhhGLFKD+NJzIDTPn+pACzYE50DXAkjkuhALtEAgCVNuRlB/tzP44B4/DNFCf+92OskMiSVl3wcS7zQ4PrWQoAnPmzyTonYlBoZhGIZhTiwzZojwjjvuwIMPPojdu23B8YMf/AC6rqta88TrX//6EnF/tPXpM63zta99Dem0XY/73nvvxfXXX4/Vq1efgjNkTg/oJdj14BAQWjUQjFC6KyXmdQSQDSSxI/gjaLW2q7dh1akXcjOoIVJTb7vh6wH4dSop5tR8jxZrrvu1MDQRgPBHEKlbC+GnLN/2C33B2KV+2zHtIrgIYvl8BOY3I7xsIbTqdgjRjvr4hWipvgi1wbWIBylLeNgpJ0YiOYJ4oA0iagtuf001AjqJ8gucbOG+McJEBHQI4Wa9dqkrEfNqXV8YomkNhG+sp8vJh9pLoTI1M+lxx5zRxOALt0NvjhfEfDki5IfWFIPWXlMq5h1Cvmr1nKgNLVS/fVoDgvrFHtHuJeiIdjeDfVkpOeU5Q88HLiPHMAzDTBPf1L3YmOPHjLHQb9q0SdWQf8c73qHqxpOLwUMPPYSqKrskFiWy88bDH2194rbbbkMikcDrXvc6+Hw+VbP+u9/97ik5P+b0gdzgoTtiVVnrNUQi9TCsPMK+GDrCUTSHWoC2y1VN7qbIELpTe9AYXo+cuVcJf7UXPQRtQSsGhzswnOpUu5tfZbuKr65/O44knkd71QUYyOzGgdE/OsWtyBOA3O8XegSqBiEWVi4JPgYNZzd+EEmjDzXBhUCLhEjmgdhU3NlnE8IZxGCY2YWoCc3WP+cMwzDMmUbLOUCyG6Ju6aluyRmJkOSrzowLJcWjeP3h4eEZnRSPOXnxa6OvbYNh2Une4gFyBy9moBR1SZi19fBpLSWu+bS+LoLYNnA/zEQKzcllaFy4ESLsR1dyM/aNPKzW29j0NwgoV/jKPN35BfW7PXY+5laRNZ050+G4TOZ0g/s0czrC/Zo5HeF+PTN0KF95hpkifs0W3EKUWsS0Fh2ifjX8eluJmCd8GsXeC2XRTwT6saf2aSXmCd2zH8pePxlofwzDMAzDMAzDnNmwjx7DTAFyaHGTyFFSqpJY1Nj0Mjr7PBZ5rWyQoJwl1VdhMNuB5sjaKR+HYRiGYRiGYZjTCxb0DDMNSi3kjiAXRy/JRrnty4n4PBnij+I00xg5S/0wDMMwDMMwDMOwoGeYqSCP9Ws0VtAH9Sosr/0z6MI/LQs/wzAMwzAMwzBnJizoGWaaaHOrgbwJqysB4dOOSYzXhahsFMMwDMMwDMMwzORhQc8wU8FbFCLkU4nttFiwkuF90i73DMMwDMMwDMMw04EFPcMcI0Jjkc4wDMMwDMMwzMmHy9YxzDHH0E+e8nJ2DMMwDMMwDMMw04XVBcNMk+nEzM+vuliVvZtX9foT0iaGYRiGYRiGYc4c2OWeYaZjop+ml33IV42NTe/jbPYMwzAMwzAMwxwzLOgZZipoGrSW2DHtgsU8wzAMwzAMwzDHAxb0DDPVBHjx0KluBsMwDMMwDMMwDMfQMwzDMAzDMAzDMMxshAU9wzAMwzAMwzAMw8xCWNAzDMMwDMMwDMMwzCyEBT3DMAzDMAzDMAzDzEJY0DMMwzAMwzAMwzDMLIQFPcMwDMMwDMMwDMPMQljQMwzDMAzDMAzDMMwshAU9wzAMwzAMwzAMw8xCWNAzDMMwDMMwDMMwzCyEBT3DMAzDMAzDMAzDzEJY0DMMwzAMwzAMwzDMLIQFPcMwDMMwDMMwDMPMQljQMwzDMAzDMAzDMMwshAU9wzAMwzAMwzAMw8xCWNAzDMMwDMMwDMMwzCyEBT3DMAzDMAzDMAzDzEJY0DMMwzAMwzAMwzDMLIQFPcMwDMMwDMMwDMPMQljQMwzDMAzDMAzDMMwshAU9wzAMwzAMwzAMw8xCWNAzDMMwDMMwDMMwzCyEBT3DMAzDMAzDMAzDzEJY0DMMwzAMwzAMwzDMLIQFPcMwDMMwDMMwDMPMQnynugEzHSml+j0yMnKqm8IcI5ZlYXR0FKFQCJrGY1nM6QH3a+Z0g/s0czrC/Zo5HeF+fWJx9aerR8eDBf1RoE5KzJ0791Q3hWEYhmEYhmEYhjnD9Gh1dfW4y4U8muQ/w6GRpyNHjqCqqgpCiFPdHOYYR7loYObgwYOIx+OnujkMc1zgfs2cbnCfZk5HuF8zpyPcr08sJNNJzLe1tU3oAcEW+qNAF6+9vf1UN4M5jtADhx86zOkG92vmdIP7NHM6wv2aOR3hfn3imMgy78LBDgzDMAzDMAzDMAwzC2FBzzAMwzAMwzAMwzCzEBb0zBlDMBjEZz7zGfWbYU4XuF8zpxvcp5nTEe7XzOkI9+uZASfFYxiGYRiGYRiGYZhZCFvoGYZhGIZhGIZhGGYWwoKeYRiGYRiGYRiGYWYhLOgZhmEYhmEYhmEYZhbCgp6Zdezduxc33HADLrvsMqxatQrnn38+nn/+ebWMUkL867/+KzZs2IBNmzbhXe96F4aHh0u2p+mbb75ZLaf17rrrLrWdl9deew2XXnopLr74Ypxzzjn46U9/elLPkTlzWLFihepr3p8lS5aovufyzW9+Exs3bsTrXvc6XHfddTh8+HDJPnK5HD7ykY+ovkrr/f3f/72a54W2edOb3qT2Qf3+G9/4xkk7R+bMJJvN4rbbbsO6detwySWX4LzzzsPPfvazwnJ+XjOzEXq2Uj+kd48LLrgAr3/96wvvIAT3a2a29OM77rgDPp8PHR0dY5afrPeOJ554Qn2X6G8E/f7jH/94As72DICS4jHMbKGnp0cuWLBAPvbYY2o6n8/Lyy67TN53331q+t5775Vr166VqVRKTd96663y+uuvL9kHTb/3ve9Vn5PJpFy1apXazmVkZETOmTNHfv/731fTO3bskLFYTP7pT386aefJnDlccsklY+bdcMMN8itf+Yr6fP/998vW1lbZ29urpu+66y65fv16aZpmYf0Pf/jD8qqrrpKGYaifK664Qs1zoXVpm89+9rOF71Fzc7PaN8OcKD71qU+p5/XQ0JCafvHFF2UgEJAvv/yymubnNTMbuf322+Xq1atV3yPo/aO2tlZ2d3erae7XzExn37598vzzz5e33HILjSKpaS8n672jo6NDxuNx+fjjj6vpRx99VE3TfGZqsKBnZhUf+9jH5E033VQyb9euXfLw4cPqgdLY2Ci/8Y1vFJZt3bpVPaw2b96spl955RU1vX379sI6X/3qV9V2tD3xpS99ST3ILMsqrPO2t71NvuUtbzkJZ8icaezdu7dkur+/X/1BGxgYUNNnn322vOOOOwrLSRz5fD75y1/+Uk339fVJv98vf/Ob3xTWefDBB9U82hfxi1/8Qk2Pjo4W1vnEJz4hN2zYcMLPjzlzedOb3qSenV7oWft//s//4ec1MyshkRKJRFQf9tLS0iL/9V//lfs1Myt49dVX1bvzI488UlHQn6z3jttuu00NLHg599xz1aAZMzXY5Z6ZVZDLmdcVmSD35La2NmzevBm9vb3K/cdl5cqViEaj+P3vf6+mH374YcRiMSxfvrywzrnnnqu2o+3ddch9SAhRsg7NZ5jjzcKFC0um77vvPlxzzTWora3FwMAAXnrppZI+XV1djWXLlhX69OOPP458Pl+yDvVXmvfYY4+paeq71Oep73vXefHFFzE4OHgSzpI5E6HQKHKfPHDggJp+6KGH1LO2ubmZn9fMrKSvrw+pVEr1YS8tLS3qWcz9mpkNrF69Wr07V+JkvnfQOt59uOu4x2EmDwt6ZtaQTCaxb98+mKaJv/zLv1QxOVdddRV+/etfF2LrCe8fWvpjSNO0nbtOpT/ExNHWoZg3etAxzInkO9/5Dm699daSPlmpP3r7K8XA1dfXF5Y3NjZC1/Up9XuGOd781V/9FT796U9j7dq1StRce+21eOtb34obb7yRn9fMrISerSTO3UEqgrxdOzs7cejQIe7XzKznZL53jLcOv5dMHRb0zKxhaGhI/aYXxE9+8pN48skn1e/rr78ev/vd79SoOREMBku2o2l3Gf2utNxdNtl1GOZEQEmQurq68MY3vlFNT7ZPBwKBMfuiedynmVPJt7/9bXz+85/HCy+8gG3btinLDCU90jSNn9fMrITE+Yc+9CF861vfKiQJ+/rXv65ENhkbuF8zs52T+d4x3jrcx6eObxrbMMwpgUb+CBLwlDWZeMMb3oDLL78cX/rSlwpWTcqs7IWmI5GI+ky/Ky13l012HYY5Udb5W265RQkeb3+r1B/JSuSuU55ZlqB53j6dTqfH7MN7DIY5npDVkgZcP/axj2Hx4sVqHj23b7/9dtUXyWJP8POamW3827/9m7JMvv3tb1cCn7Jz33TTTdi+ffuEz2zu18xs4GS+d4zXz7mPTx220DOzBnLnoZG7OXPmlMyfP3++cs9ZtGiRmu7u7i5ZTtPuMvpdvpwsou6yidahGKK6uroTcGYMA2Xd+cEPflAYmCLG69PUH7391TAM9Pf3F5ZTLCbtbzL9vjyGn2GOB9QHKU5ywYIFJfOpv91///38vGZmtXHhE5/4hCq3RTkiPvvZz6rn75o1a7hfM7Oek/neMd467j6YycOCnplVf0Qpbp5i1bzQw2DevHkqTpNEP7l3upCbJ8XeX3HFFQWLfiKRwM6dOwvrUP3YpqYmtb27DrmGemvC0jruPhjmRPDb3/5WWTK9iWooMd7ZZ59d0qdHRkZU/3X7IyWJ9Pv9JetQf6V5bgJJ6tM7duxQfd+7DiVdomMwzPGmoaFBDcCWP69pmqwv/LxmZiuUuM4bx06JwJ555hmVH4L7NTPbOZnvHbSOdx/uOtzPp8EUs+IzzCnloYceUvVe9+/fXygHEwwG5QMPPKCmqY7runXrCvVf//qv/7pi/df3v//96jOtt2bNmor1X3/4wx+q6Z07d8qqqiqu/8qcUG688Ub5n//5n2PmU83WtrY2VSaGuPvuuyvWg73mmmvUPPq58sorS+rBUikk2uaee+5R01RblsoscR165kRCz9nly5cXSjC+8MILqozRF7/4RTXNz2tmNvJ3f/d3qi63y5133imvvvrqwjT3a2a2MF7ZupP13uHWoX/iiSfUNNWj5zr000PQf9MZCGCYU8X3v/993HvvvaoUBrn8fPSjH1WxbAR157vvvhs///nPVQbOpUuX4qtf/SpqampKkutRUptdu3apeJ83v/nNuPPOO0vKw2zduhV/+7d/C8uyVAzQP/3TP+Etb3nLKTlf5vSH+iRZ5js6OkpKvLh84xvfUEmYQqGQGtn+5je/ifb29pKYM3IBpUSRxIUXXoh///d/L0k2QxmYP/CBDyg3aOrT73vf+/DBD37wJJ0hcyZCiY3+5V/+RZUgIqv86Ogo3v3ud+O2225Tz1t+XjOzke9973u45557EI/HlUWSLI407cYXc79mZjrU56688krVD1955RWcd955mDt3Ln784x+f9PcOCluh/VBCPdon7eOiiy46KdfhdIIFPcMwDMMwDMMwDMPMQjiGnmEYhmEYhmEYhmFmISzoGYZhGIZhGIZhGGYWwoKeYRiGYRiGYRiGYWYhLOgZhmEYhmEYhmEYZhbCgp5hGIZhGIZhGIZhZiEs6BmGYRiGYRiGYRhmFsKCnmEYhmEYhmEYhmFmISzoGYZhGIY5aRw+fPhUN2FWcuTIEUgpT3UzGIZhmBkGC3qGYRjmjOdNb3oTgsEg5s2bhw9/+MOF+U8//TSEENi1a1dh3qc+9Sm0t7fj3HPPxWuvvXbC2jQ8PIxLL70UoVAI3/nOd3Cy6ejowL/8y7+UzKNzX7BggWrXVDFNE7feeisef/zxMct+97vfqetM1/tU8cUvfhEvv/wyZiq7d+/Gm9/8ZiSTyVPdFIZhGGYGwYKeYRiGOeP51a9+hYsvvhhnn302vvzlLxfmP/zww+r3H/7wh8K8z372s1i/fj0effRRnHXWWSesTdXV1eoYLS0tOBWQoL/rrrtK5tG5/9Vf/dW09ve//tf/QiwWw0033TRm2Q9/+EPouq5+nypmuqCn/kk/H//4x091UxiGYZgZBAt6hmEYhgFw+eWXK+sxWZJdnnjiCVx44YUFYU/k83n1E41GT1FLZx/kbXD33Xfjk5/85JhlmUwGzz77LP7yL/8SP/rRj0quP1PKBz/4QTXo4fUYYRiGYc5sWNAzDMMwjCPoh4aG8OKLLxaEpmEY+LM/+zM88sgjhfjlP/3pTzjvvPPU5x//+Md43eteh8suuwybNm3C7bffjmw2q5Z95jOfQVVVlXLj/7d/+zc171vf+pZyWV+1ahX27dun5n33u9/Fhg0blPWV9vWzn/1swnZSm/7hH/5BeQlccskluPLKK7Fly5aCWza5w5P7+n/8x3/gbW97G9atW4err74aAwMDJfshgT1//nx13L/5m79RlnPyBnjve9+rPBI++tGPqvVof/RT7g7/v//3/8YVV1yBpUuXqnM4mgcEXYe5c+eOWfbggw/immuuUYK+p6cHv//978eEQ9TU1KjBABK0dI3Wrl1buE8uv/zlL7F8+XJ1b8g1na4/hStQ2xOJBPr7+/HWt75VDdDQvOuuu07dS4KuYVdXFz7/+c+rZbQtDeacf/756lrSff7zP/9zLFmyRF13gvb5/ve/H2vWrFH37/rrr1deDZXuw4033oiVK1eq+5FOp5XnA1132vall14qnMNEbSQikYg6v/vvv3/C680wDMOcQUiGYRiGYaRhGDIej8vPfe5zavrhhx+Wn/rUp+Szzz5LSl6+/PLLav5dd90lH3nkEfX5hhtukL/61a/U51wuJ6+66iq13OXDH/6wvPDCC0uOQ+scOnRIff7Nb34j6+vr5cGDB9X07t27ZTQalU899VRh/fnz58v/+q//Kkz/4z/+o7z44otlJpNR0z/84Q9lQ0ODHBkZKaxD7b3++utlPp9X53XOOefIO++8s7D8vvvuU+e6Z88eNf3MM89Iv98v3/3udxfWoXOs9Jrwmc98RsZiMXV9iAceeEC12Xv8cv7u7/5OXn311RWX0TV8/vnnVTubmprkLbfcMmadSy65RC5YsEB2dXWp6dtuu01dA5eOjg4ZCATkT37yEzXd29srFy1apK6dywc/+EF58803F6Y//elPq3MZ7zoT+/btU9fgPe95jzRNU46OjspLL71ULbvpppvkNddco66xe1/OOussdR4utO2b3/xmNY/u18KFC+WVV14pd+3apZb/wz/8Q2F/k2kj8YEPfEDdW4ZhGIYh2ELPMAzDMICK4SarqRsvT7/f8IY3KOsrxbO7bvfPPPMMLrjgAvX5C1/4Aq699lr12e/34y/+4i/w61//urDPm2++GU899RT27NlTkuF9zpw56vc999yDd7zjHSrJHrF48WJl7f/a175WsY1k3aVjUuI+SuJHkGWdvAnIXd0LWYN9Pp86r4suuqgkPvz//t//q6zYixYtUtNk9XW9DiZDU1OT8mgg6JpRojaySo9Hd3c36urqxswfGRlR223cuFG1k9pMHgp0PuXQ8Zqbm9Vnsl57z+eb3/ym8i644YYb1HRDQwPe+c53lmxP156s8O6+P/KRj+Bd73rXpM73lltugaZpKgcAeWvs3bsX//3f/42Pfexj6hoTn/jEJ7Bt27YxHhbUJjo3ul/nnHOOCikgSz9B98VroZ9MG8lbga4nwzAMwxAs6BmGYRjGIxqffPJJ5HK5gnAnMUau7SToSWiRsHPFNAlSEo6uizSJbRJkLpQJf8WKFfj+97+vpn/wgx8o13IXcpWnAQDXrZ1+yBWfhHslSPxSGz73uc+VbENCd3BwsGTdtra2wmdy/ae2upDwdMW8C7nETxbvvuPxeOFaTBRD7wpfLz/96U/VIIgLDW6Mjo7igQcemPCY0zmfO+64A6+88ooKM6ABkf379xeE9dFwB1xctm7dqkIwvNvX1taqQYtXX321ZN3W1tYSl3nvNOVhoGszlTbSwFH5vWYYhmHOXMb+dWUYhmGYM1jQp1IpVUaNhJMr3Gn+pz/9aTz22GNKvBNklab5b3/725VQJ6FP5eXKS72Rlf6//uu/VFw2CVhvgj2CLLDl2eSPxr//+78rS/5E0ECEC8VyH62GOa0zWbz7dplo/2RVpkSC5dx3330qbwFZvd19UNw7XU+y1o93zMm0tXwdGpyhGHe6B//5n/+pvAKoosGHPvShaZ3vZCnfdqJ9TaaNdB0reTswDMMwZyZsoWcYhmEYB0q2Ru7abtIyFxLuZDmm0muuq/n27dtVEjcSniTmCbLsl0MWeXK5/+pXv4ply5aVZMdfvXo1duzYUbI+iduvf/3rFdtH1loSvOXbfOUrX6lY3308KEEbuY17OXDgQMm0e05uIr7xvAYmA7nDlyflI7dx2iclfaPyfPRDAya33Xab8logoX88z4dc4QOBgLofNKhC5d/IVb/S+dK9nghKakh4wwzIak7nSInupsvR2kjQMdzQA4ZhGIZhQc8wDMMwHqsuubA/99xzBeHuCm+KG3/++edVHDRB2erD4XDB4k6x0b/4xS/G7NPNJE/ijGKxvfzzP/+zys5Obtau1f+f/umflJt+Jeh4JHhJwLtu11TC7Etf+lJBZE6Gv//7v8fPf/7zggim8y2vwd7Y2Kh+03HIYnznnXdiulBm+vIYe4r5J++GcshjgQZGfvKTn0x6/5Sln0Id3OzvlC2e2uyFrtFvf/vbEks3DbB4z5fOlQYv3Ez240Hu/ZS7gEIs3DJ79957rxpYoNwE0+VobSToOlLsPcMwDMMoODcgwzAMwxT52te+pjLAe7OVEzfeeKO87rrrSub99Kc/lcuWLZObNm1S2cxvvfVWGQwG5eWXX16y3re//W05Z84clSm9nO9973tyzZo18oILLpCve93r5Pe//301f2hoSGV3p/0tX75ctYugrOp33HGHmkeZ3q+44gr53HPPqWWdnZ1qG/rzvm7dOpWJ/otf/KLK4F5dXS3f+c53Fo579913y3nz5qn1b7/9drXsve99b0nbaN769etV27Zv364qALj7omzsbhvd4/32t7+teE0pA344HJZ79+5V09Qmymi/ceNGleHeha457U/XddnS0qIqBrz97W9Xx6Pj3nvvvfLRRx9Vx6Jj0ro9PT1q21/84hfqXpx33nlqm3vuuUcuWbKksG+6rueff77ahioPvOUtb5FHjhwpLP/xj39c2P7LX/6yfOmll9RnOo47zwtlvH/f+94nV69eLc8++2zVNygr/nj34ROf+IRsbm5WP/SZ5nnPg7Y5WhvpOlZVVRWuI8MwDMMI+o/HNhiGYRjmzIFc3S3LKnH/p1rslPyPvAZOBGTNfu2111Rd9uMNvcqQK3p9fX1hHlUQoPAFyodwuvDZz35WeRGQNwDDMAzDEOxyzzAMwzBnGBQm4E20Rtn2n376adx4440n7Jgf/ehH1QDC//t//++475tCFcgN3Y3zp/h7Sqw32bJ0s+WeUTZ/GqhgGIZhGBe20DMMwzDMGQbFYVMsfm9vr0rCRtZ6ipEnK/2JhuLbvZb04wHFmn/gAx9QeQCopB0JeyqBR4MIU8neP5M5EdeNYRiGmf2woGcYhmEYhmEYhmGYWQi73DMMwzAMwzAMwzDMLIQFPcMwDMMwDMMwDMPMQljQMwzDMAzDMAzDMMwshAU9wzAMwzAMwzAMw8xCWNAzDMMwDMMwDMMwzCyEBT3DMAzDMAzDMAzDzEJY0DMMwzAMwzAMwzDMLIQFPcMwDMMwDMMwDMPMQljQMwzDMAzDMAzDMAxmH/8fA+PSu/80/qUAAAAASUVORK5CYII=", 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" ] @@ -185,8 +227,8 @@ "plt.figure(figsize=(12, 8))\n", "\n", "# Create a colormap to assign different colors to each spectrum\n", - "\n", - "colors = cm.cool(np.linspace(0, 1, len(fits_spectra)))\n", + "n = 20\n", + "colors = cm.Set3(np.linspace(0, 1, 55))\n", "\n", "# Loop through spectra\n", "for i in range(len(fits_spectra)):\n", @@ -195,83 +237,23 @@ "\n", " try:\n", " spec = Spectrum.read(fits_spectra.iloc[i]['access_url'], format = \"wcs1d-fits\")\n", - " # # Check if flux can be converted to the target units\n", - " target_unit = u.erg / (u.A * u.s * u.cm**2)\n", - " wavelength = spec.spectral_axis.to(u.um)\n", - " flux = spec.flux.to(target_unit, equivalencies=u.spectral_density(wavelength))\n", - " \n", - " # Only plots if conversion is successful\n", - " plt.plot(wavelength, flux, label=f\"{source}, ({temp}K), {fits_spectra.iloc[i]['telescope']})\", color = colors[i])\n", + " plt.plot(spec.spectral_axis, spec.flux, label=f\"{source}, ({temp}K), {fits_spectra.iloc[i]['telescope']})\", color = colors[i], alpha = 0.75)\n", " except Exception as e:\n", " continue\n", " \n", "\n", - "plt.xlabel('Wavelength (μm)')\n", - "plt.ylabel('Flux (erg/Å/s/cm²), Log Scale')\n", - "plt.title('Spectra with Compatible Units (T_eff 1100-1300K)')\n", + "plt.xlabel('Wavelength (Angstroms)')\n", + "plt.ylabel('Flux (erg/Å/s/cm²)')\n", + "plt.title('Spectra w/ T_eff 1100-1300K')\n", "plt.legend()\n", - "plt.yscale('log')\n", + "# plt.yscale('log')\n", + "# plt.ylim(10e-8, 10) \n", "# plt.xlim(0.50, 1.5)\n", "plt.grid(True, alpha=0.3)\n", "plt.show()\n", "\n" ] }, - { - "cell_type": "code", - "execution_count": 91, - "id": "ca70d725", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "from specutils import Spectrum1D\n", - "import astropy.units as u\n", - "import matplotlib.cm as cm\n", - "import warnings\n", - "warnings.filterwarnings('ignore')\n", - "\n", - "plt.figure(figsize=(12, 8))\n", - "\n", - "# Create a colormap to assign different colors to each spectrum\n", - "\n", - "colors = cm.cool(np.linspace(0, 1, len(fits_spectra)))\n", - "\n", - "# Loop through spectra\n", - "for i in range(len(fits_spectra)):\n", - " source = fits_spectra.iloc[i]['source']\n", - " temp = fits_spectra.iloc[i]['value']\n", - " \n", - " try:\n", - " if fits_spectra.iloc[i][\"telescope\"] == \"Keck I\" or fits_spectra.iloc[i][\"telescope\"] == \"CTIO 4m\":\n", - " spec = Spectrum.read(fits_spectra.iloc[i]['access_url'], format = \"wcs1d-fits\")\n", - " plt.plot(spec.spectral_axis, spec.flux, label=f\"{source}, ({temp}K), {fits_spectra.iloc[i]['telescope']})\", color = colors[i], alpha = 0.7)\n", - " except:\n", - " continue\n", - " \n", - "\n", - "plt.xlabel('Wavelength (Angstrom)')\n", - "plt.ylabel('Flux (erg/Å/s/cm²), Log Scale')\n", - "plt.title('Spectra with Compatible Units (T_eff 1100-1300K)')\n", - "plt.legend()\n", - "plt.yscale('log')\n", - "plt.ylim(10e-20, 10e-15)\n", - "plt.grid(True, alpha=0.3)\n", - "plt.show()\n", - "\n" - ] - }, { "cell_type": "markdown", "id": "39401535", @@ -282,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 45, "id": "4fadd112", "metadata": {}, "outputs": [ @@ -295,7 +277,7 @@ }, { "data": { - "image/png": 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", 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" ] @@ -326,7 +308,7 @@ "\n", "# Make the plot\n", "plt.figure(figsize=(10, 6))\n", - "plt.scatter(data['Temperature'], data['Mass'], alpha=0.7)\n", + "plt.scatter(data['Temperature'], data['Mass'], alpha=0.7, color = \"slateblue\")\n", "\n", "plt.xlabel('Temperature (K)')\n", "plt.ylabel('Mass (Jupiter Masses)')\n", @@ -335,6 +317,14 @@ "\n", "plt.show()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "83176670", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From 9b907e5fb3ea99f459557103e421a035b465b01f Mon Sep 17 00:00:00 2001 From: canavarrete01 <100876091+canavarrete01@users.noreply.github.com> Date: Tue, 16 Sep 2025 15:51:46 -0400 Subject: [PATCH 09/11] Moving notebooks, fixing headers --- .../notebooks/Demo_Queries_1.0.ipynb | 85 +++++-- .../notebooks/Demo_Queries_1.5.ipynb | 28 +-- .../notebooks/Demo_Visualization_1.0.ipynb | 222 +++++++++++++----- .../notebooks/Demo_Visualization_1.5.ipynb | 55 ++++- 4 files changed, 277 insertions(+), 113 deletions(-) rename Demo_Queries_1.0.ipynb => docs/notebooks/Demo_Queries_1.0.ipynb (91%) rename Demo_Queries_1.5.ipynb => docs/notebooks/Demo_Queries_1.5.ipynb (97%) rename Demo_Visualization_1.0.ipynb => docs/notebooks/Demo_Visualization_1.0.ipynb (97%) rename Demo_Visualization_1.5.ipynb => docs/notebooks/Demo_Visualization_1.5.ipynb (99%) diff --git a/Demo_Queries_1.0.ipynb b/docs/notebooks/Demo_Queries_1.0.ipynb similarity index 91% rename from Demo_Queries_1.0.ipynb rename to docs/notebooks/Demo_Queries_1.0.ipynb index 341b8f77a..85aea6ce9 100644 --- a/Demo_Queries_1.0.ipynb +++ b/docs/notebooks/Demo_Queries_1.0.ipynb @@ -5,7 +5,7 @@ "id": "1ffa299a", "metadata": {}, "source": [ - "## Demos" + "# Queries with SIMPLE Demo" ] }, { @@ -13,12 +13,12 @@ "id": "4105070b", "metadata": {}, "source": [ - "### Load in the Database" + "## Load in the Database" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "f244041f", "metadata": {}, "outputs": [], @@ -26,10 +26,10 @@ "from astrodb_utils import load_astrodb\n", "from simple import REFERENCE_TABLES\n", "\n", - "SCHEMA_PATH = \"simple/schema.yaml\" \n", + "SCHEMA_PATH = \"../../simple/schema.yaml\" \n", "recreatedb = False #Set to True or False\n", "db = load_astrodb(\n", - " \"SIMPLE.sqlite\", \n", + " \"../../SIMPLE.sqlite\", \n", " recreatedb=recreatedb, \n", " reference_tables=REFERENCE_TABLES, \n", " felis_schema=SCHEMA_PATH\n", @@ -57,8 +57,8 @@ "id": "0ab71b4b", "metadata": {}, "source": [ - "##### What is Astrodbkit? (Link: https://astrodbkit.readthedocs.io/en/latest/#exploring-the-schema)\n", - "##### AstrodbKit is an astronomical database handler code built on top of SQLAlchemy. We can implement various functions from the python package to query the database in robust ways." + "What is Astrodbkit? (Link: https://astrodbkit.readthedocs.io/en/latest/#exploring-the-schema)\n", + "AstrodbKit is an astronomical database handler code built on top of SQLAlchemy. We can implement various functions from the python package to query the database in robust ways." ] }, { @@ -79,7 +79,7 @@ "id": "15f7f93f", "metadata": {}, "source": [ - "#### Lets check the tables in the database" + "Lets check the tables in the database" ] }, { @@ -126,9 +126,9 @@ "id": "22c1a568", "metadata": {}, "source": [ - "#### Now that we know the tables,lets do a more detailed search into the tables and their content\n", + "Now that we know the tables,lets do a more detailed search into the tables and their content\n", "\n", - "#### Lets look at the first 10 sources available within SIMPLE" + "Lets look at the first 10 sources available within SIMPLE" ] }, { @@ -187,9 +187,9 @@ "id": "c95de403", "metadata": {}, "source": [ - "#### Thats a lot of sources! Lets say you just want to find all sources that start with \"WISE\" \n", - "#### We can use the search_object function for this\n", - "#### Search_Object documentation: https://astrodbkit.readthedocs.io/en/latest/#identifier-name-search" + "Thats a lot of sources! Lets say you just want to find all sources that start with \"WISE\" \n", + "We can use the search_object function for this\n", + "Search_Object documentation: https://astrodbkit.readthedocs.io/en/latest/#identifier-name-search" ] }, { @@ -271,12 +271,20 @@ "db.search_object('wise', fmt='astropy')" ] }, + { + "cell_type": "markdown", + "id": "aa12de60", + "metadata": {}, + "source": [ + "### Search by Object" + ] + }, { "cell_type": "markdown", "id": "3d08ef03", "metadata": {}, "source": [ - "#### So you found the object youre looking for - lets now narrow down that query." + "So you found the object youre looking for - lets now narrow down that query." ] }, { @@ -284,7 +292,7 @@ "id": "d923dc1c", "metadata": {}, "source": [ - "#### Lets see many names are associated with the object WISEPC J0333" + "Lets see many names are associated with the object WISEPC J0333" ] }, { @@ -334,13 +342,21 @@ "db.search_object('WISEPC J0333', resolve_simbad=True, output_table='Names')" ] }, + { + "cell_type": "markdown", + "id": "9c3c93a7", + "metadata": {}, + "source": [ + "### Inventory Check" + ] + }, { "cell_type": "markdown", "id": "3ac5f930", "metadata": {}, "source": [ - "#### We know the source exist, so now we want to see all the data associated with the source. \n", - "#### Inventory documentation: https://astrodbkit.readthedocs.io/en/latest/#inventory-search" + "We know the source exist, so now we want to see all the data associated with the source. \n", + "Inventory documentation: https://astrodbkit.readthedocs.io/en/latest/#inventory-search" ] }, { @@ -485,18 +501,18 @@ }, { "cell_type": "markdown", - "id": "78166d9c", + "id": "bf8d6221", "metadata": {}, "source": [ - "#### Now lets do a broader search, say you want to find all objects with the publication reference \"Cruz18\" " + "### Search by String" ] }, { "cell_type": "markdown", - "id": "ab20b4a0", + "id": "78166d9c", "metadata": {}, "source": [ - "##### Search string documentation: https://astrodbkit.readthedocs.io/en/latest/#full-string-search" + "Now lets do a broader search, say you want to find all objects with the publication reference \"Cruz18\" " ] }, { @@ -504,7 +520,15 @@ "id": "6eaea4ee", "metadata": {}, "source": [ - "#### Within astrodbkit, we allow for the parameter format (fmt) so that you can decide how you wish to visualize your query. Your options are pandas, astropy, or default (default is an astropy table)" + "Within astrodbkit, we allow for the parameter format (fmt) so that you can decide how you wish to visualize your query. Your options are pandas, astropy, or default (default is an astropy table)" + ] + }, + { + "cell_type": "markdown", + "id": "ab20b4a0", + "metadata": {}, + "source": [ + "Search string documentation: https://astrodbkit.readthedocs.io/en/latest/#full-string-search" ] }, { @@ -640,13 +664,22 @@ "db.search_string('Cruz18', fuzzy_search=False, fmt='astropy') #fmt options: pandas, astropy/table, default" ] }, + { + "cell_type": "markdown", + "id": "14912036", + "metadata": {}, + "source": [ + "### Search by Region " + ] + }, { "cell_type": "markdown", "id": "9291275e", "metadata": {}, "source": [ - "#### Next example is query region, where you can use SkyCoord to create a coordinates object that query_region uses to query the database, in this example the Sources table. Make sure to use as accurate as a coordinate as possible. \n", - "#### Query_Region Documentation: https://astrodbkit.readthedocs.io/en/latest/#region-spatial-search" + "Next example is query region, where you can use SkyCoord to create a coordinates object that query_region uses to query the database, in this example the Sources table. Make sure to use as accurate as a coordinate as possible. \n", + "\n", + "Query_Region Documentation: https://astrodbkit.readthedocs.io/en/latest/#region-spatial-search" ] }, { @@ -654,8 +687,8 @@ "id": "029fa8c4", "metadata": {}, "source": [ - "##### Notes on Query Region: \n", - "##### If you have the exact coordinates of the object you are searching you can use query_region as shown. However, if you don't you can enter the optional parameter \"radius=x\" to allow for a larger search radius, otherwise you will get back an empty query if your coordinates aren't precise enough" + "Notes on Query Region: \n", + "If you have the exact coordinates of the object you are searching you can use query_region as shown. However, if you don't you can enter the optional parameter \"radius=x\" to allow for a larger search radius, otherwise you will get back an empty query if your coordinates aren't precise enough" ] }, { diff --git a/Demo_Queries_1.5.ipynb b/docs/notebooks/Demo_Queries_1.5.ipynb similarity index 97% rename from Demo_Queries_1.5.ipynb rename to docs/notebooks/Demo_Queries_1.5.ipynb index 0b06d7971..e96f23547 100644 --- a/Demo_Queries_1.5.ipynb +++ b/docs/notebooks/Demo_Queries_1.5.ipynb @@ -5,7 +5,7 @@ "id": "1ffa299a", "metadata": {}, "source": [ - "## Using SQL to Query SIMPLE" + "# Using SQL to Query SIMPLE" ] }, { @@ -13,7 +13,7 @@ "id": "4105070b", "metadata": {}, "source": [ - "#### Load in the Database" + "## Load in the Database " ] }, { @@ -26,10 +26,10 @@ "from astrodb_utils import load_astrodb\n", "from simple import REFERENCE_TABLES\n", "\n", - "SCHEMA_PATH = \"simple/schema.yaml\" \n", + "SCHEMA_PATH = \"../../simple/schema.yaml\" \n", "recreatedb = False #Set to True or False\n", "db = load_astrodb(\n", - " \"SIMPLE.sqlite\", \n", + " \"../../SIMPLE.sqlite\", \n", " recreatedb=recreatedb, \n", " reference_tables=REFERENCE_TABLES, \n", " felis_schema=SCHEMA_PATH\n", @@ -41,8 +41,8 @@ "id": "fae1c2a9", "metadata": {}, "source": [ - "#### Let first use astrodb_utils.sql_query to run a SQL query directly \n", - "##### AstrodbUtils's function sql_query acts as a wrapped for direct SQL queries, taking in two parameters: query (str), and fmt (str: pandas, astropy, defualt). " + "## Let first use astrodb_utils.sql_query to run a SQL query directly \n", + "AstrodbUtils's function sql_query acts as a wrapped for direct SQL queries, taking in two parameters: query (str), and fmt (str: pandas, astropy, defualt). " ] }, { @@ -128,7 +128,7 @@ "id": "69912aad", "metadata": {}, "source": [ - "#### Query the count of sources in the database" + "### Query the count of sources in the database" ] }, { @@ -159,7 +159,7 @@ "id": "7b517acd", "metadata": {}, "source": [ - "#### Query Sources by String " + "### Query Sources by String " ] }, { @@ -202,7 +202,7 @@ "id": "a69f4515", "metadata": {}, "source": [ - "#### Query by Program ID (\"PID\")" + "### Query by Program ID (\"PID\")" ] }, { @@ -290,15 +290,7 @@ "id": "f77f960b", "metadata": {}, "source": [ - "### Using SQLAlchemy Query Functions" - ] - }, - { - "cell_type": "markdown", - "id": "7be9e984", - "metadata": {}, - "source": [ - "##### Using SQL directly without astrodb_utils" + "## Using SQLAlchemy Query Functions" ] }, { diff --git a/Demo_Visualization_1.0.ipynb b/docs/notebooks/Demo_Visualization_1.0.ipynb similarity index 97% rename from Demo_Visualization_1.0.ipynb rename to docs/notebooks/Demo_Visualization_1.0.ipynb index 463b4cbb0..ec2203eaa 100644 --- a/Demo_Visualization_1.0.ipynb +++ b/docs/notebooks/Demo_Visualization_1.0.ipynb @@ -10,31 +10,15 @@ }, { "cell_type": "markdown", - "id": "1fba3339", + "id": "8f242663", "metadata": {}, "source": [ - "### Brief Overview of Querying SIMPLE" - ] - }, - { - "cell_type": "markdown", - "id": "1f81a665", - "metadata": {}, - "source": [ - "##### To better understand querying, we recommend you run through the QueryDemo.ipynb notebook before you begin here. Once you feel ready regarding querying, come back here for some fun with visualization. " - ] - }, - { - "cell_type": "markdown", - "id": "dc4378d7", - "metadata": {}, - "source": [ - "##### In this notebook, we will mostly use the AstroDBUtils package to query the database. Find more information on this package here: https://astrodbkit.readthedocs.io/en/latest/#exploring-the-schema" + "## Imports" ] }, { "cell_type": "code", - "execution_count": 195, + "execution_count": 1, "id": "80b0998f", "metadata": {}, "outputs": [], @@ -54,7 +38,7 @@ }, { "cell_type": "code", - "execution_count": 196, + "execution_count": 3, "id": "bf58d6a0", "metadata": {}, "outputs": [], @@ -63,30 +47,22 @@ "from astrodb_utils import load_astrodb\n", "from simple import REFERENCE_TABLES\n", "\n", - "SCHEMA_PATH = \"simple/schema.yaml\" \n", + "SCHEMA_PATH = \"../../simple/schema.yaml\" \n", "recreatedb = False #Set to True or False\n", "db = load_astrodb(\n", - " \"SIMPLE.sqlite\", \n", + " \"../../SIMPLE.sqlite\", \n", " recreatedb=recreatedb, \n", " reference_tables=REFERENCE_TABLES, \n", " felis_schema=SCHEMA_PATH\n", " )" ] }, - { - "cell_type": "markdown", - "id": "31d0bd60", - "metadata": {}, - "source": [ - "### Visualization Methods" - ] - }, { "cell_type": "markdown", "id": "1348cffa", "metadata": {}, "source": [ - "#### Lets try first plotting a single spectra from a single source" + "## Lets try first plotting a single spectra from a single source" ] }, { @@ -94,12 +70,12 @@ "id": "5554b341", "metadata": {}, "source": [ - "##### In this use case, we are looking to plot the spectra for the object with the most spectra available in SIMPLE. Using what we just learned, we can use SQL to query the database for this answer." + "In this use case, we are looking to plot the spectra for the object with the most spectra available in SIMPLE. Using what we just learned, we can use SQL to query the database for this answer." ] }, { "cell_type": "code", - "execution_count": 197, + "execution_count": 15, "id": "57abb8b5", "metadata": {}, "outputs": [], @@ -116,12 +92,12 @@ "id": "cabdecd3", "metadata": {}, "source": [ - "##### Lets do an inventory check of '2MASS J04151954-0935066' using db.inventory (https://astrodbkit.readthedocs.io/en/latest/astrodb.html#astrodbkit.astrodb.Database.inventory)" + "Lets do an inventory check of '2MASS J04151954-0935066' using db.inventory (https://astrodbkit.readthedocs.io/en/latest/astrodb.html#astrodbkit.astrodb.Database.inventory)" ] }, { "cell_type": "code", - "execution_count": 198, + "execution_count": 16, "id": "ffb5f00c", "metadata": {}, "outputs": [], @@ -134,34 +110,126 @@ "id": "a9a16c32", "metadata": {}, "source": [ - "##### Now lets parse through that dictionary output to only view the spectra associated with 2MASS 0415" + "Now lets parse through that dictionary output to only view the spectra associated with 2MASS 0415" ] }, { "cell_type": "code", - "execution_count": 199, - "id": "d88e9426", + "execution_count": 17, + "id": "227adcc0", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt', 'original_spectrum': None, 'local_spectrum': '$BDNYC_spectra/IRS/0415-0935 (LL2).txt', 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'Missing', 'observation_date': datetime.datetime(2005, 9, 6, 0, 0), 'comments': None, 'reference': 'PID3259', 'other_references': None}\n", - "{'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935.txt', 'original_spectrum': None, 'local_spectrum': '$BDNYC_spectra/IRS/0415-0935.txt', 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'Missing', 'observation_date': datetime.datetime(2005, 9, 7, 0, 0), 'comments': None, 'reference': 'PID3431', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.amazonaws.com/IRS/2MASS+J04151954-0935066.fits', 'original_spectrum': 'https://bdnyc.s3.amazonaws.com/IRS/0415-0935_IRS_spectrum.dat', 'local_spectrum': None, 'regime': 'mir', 'telescope': 'Spitzer', 'instrument': 'IRS', 'mode': 'SL', 'observation_date': datetime.datetime(2005, 9, 6, 0, 0), 'comments': 'SL2,SL1, There are multiple observation dates', 'reference': 'Suar22', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'nir', 'telescope': 'Magellan I Baade', 'instrument': 'FIRE', 'mode': 'Echelle', 'observation_date': datetime.datetime(2010, 9, 20, 0, 0), 'comments': None, 'reference': 'Alej25', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'nir', 'telescope': 'JWST', 'instrument': 'NIRSpec', 'mode': 'F290LP.G395H', 'observation_date': datetime.datetime(2022, 10, 16, 0, 0), 'comments': None, 'reference': 'Alej25', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'nir', 'telescope': 'AKARI', 'instrument': 'IRC', 'mode': 'IRC04', 'observation_date': datetime.datetime(2007, 8, 23, 0, 0), 'comments': None, 'reference': 'Sora12', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits', 'original_spectrum': 'https://s3.amazonaws.com/bdnyc/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'local_spectrum': '$BDNYC_spectra/SpeX/Prism/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt', 'regime': 'nir', 'telescope': 'IRTF', 'instrument': 'SpeX', 'mode': 'Prism', 'observation_date': datetime.datetime(2003, 9, 17, 0, 0), 'comments': None, 'reference': 'Burg04.2856', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASSJ04151954-0935066_T8_LRIS_Burg03.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'optical', 'telescope': 'Keck I', 'instrument': 'LRIS', 'mode': 'Missing', 'observation_date': datetime.datetime(2001, 2, 20, 0, 0), 'comments': None, 'reference': 'Burg03.510', 'other_references': None}\n", - "{'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASS_J04151954-0935066_2006-12-26.fits', 'original_spectrum': None, 'local_spectrum': None, 'regime': 'optical', 'telescope': 'Keck I', 'instrument': 'LRIS', 'mode': 'Missing', 'observation_date': datetime.datetime(2006, 12, 26, 0, 0), 'comments': None, 'reference': 'Kirk08', 'other_references': None}\n" - ] + "data": { + "text/plain": [ + "[{'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt',\n", + " 'original_spectrum': None,\n", + " 'local_spectrum': '$BDNYC_spectra/IRS/0415-0935 (LL2).txt',\n", + " 'regime': 'mir',\n", + " 'telescope': 'Spitzer',\n", + " 'instrument': 'IRS',\n", + " 'mode': 'Missing',\n", + " 'observation_date': datetime.datetime(2005, 9, 6, 0, 0),\n", + " 'comments': None,\n", + " 'reference': 'PID3259',\n", + " 'other_references': None},\n", + " {'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935.txt',\n", + " 'original_spectrum': None,\n", + " 'local_spectrum': '$BDNYC_spectra/IRS/0415-0935.txt',\n", + " 'regime': 'mir',\n", + " 'telescope': 'Spitzer',\n", + " 'instrument': 'IRS',\n", + " 'mode': 'Missing',\n", + " 'observation_date': datetime.datetime(2005, 9, 7, 0, 0),\n", + " 'comments': None,\n", + " 'reference': 'PID3431',\n", + " 'other_references': None},\n", + " {'access_url': 'https://bdnyc.s3.amazonaws.com/IRS/2MASS+J04151954-0935066.fits',\n", + " 'original_spectrum': 'https://bdnyc.s3.amazonaws.com/IRS/0415-0935_IRS_spectrum.dat',\n", + " 'local_spectrum': None,\n", + " 'regime': 'mir',\n", + " 'telescope': 'Spitzer',\n", + " 'instrument': 'IRS',\n", + " 'mode': 'SL',\n", + " 'observation_date': datetime.datetime(2005, 9, 6, 0, 0),\n", + " 'comments': 'SL2,SL1, There are multiple observation dates',\n", + " 'reference': 'Suar22',\n", + " 'other_references': None},\n", + " {'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits',\n", + " 'original_spectrum': None,\n", + " 'local_spectrum': None,\n", + " 'regime': 'nir',\n", + " 'telescope': 'Magellan I Baade',\n", + " 'instrument': 'FIRE',\n", + " 'mode': 'Echelle',\n", + " 'observation_date': datetime.datetime(2010, 9, 20, 0, 0),\n", + " 'comments': None,\n", + " 'reference': 'Alej25',\n", + " 'other_references': None},\n", + " {'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits',\n", + " 'original_spectrum': None,\n", + " 'local_spectrum': None,\n", + " 'regime': 'nir',\n", + " 'telescope': 'JWST',\n", + " 'instrument': 'NIRSpec',\n", + " 'mode': 'F290LP.G395H',\n", + " 'observation_date': datetime.datetime(2022, 10, 16, 0, 0),\n", + " 'comments': None,\n", + " 'reference': 'Alej25',\n", + " 'other_references': None},\n", + " {'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits',\n", + " 'original_spectrum': None,\n", + " 'local_spectrum': None,\n", + " 'regime': 'nir',\n", + " 'telescope': 'AKARI',\n", + " 'instrument': 'IRC',\n", + " 'mode': 'IRC04',\n", + " 'observation_date': datetime.datetime(2007, 8, 23, 0, 0),\n", + " 'comments': None,\n", + " 'reference': 'Sora12',\n", + " 'other_references': None},\n", + " {'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits',\n", + " 'original_spectrum': 'https://s3.amazonaws.com/bdnyc/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt',\n", + " 'local_spectrum': '$BDNYC_spectra/SpeX/Prism/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt',\n", + " 'regime': 'nir',\n", + " 'telescope': 'IRTF',\n", + " 'instrument': 'SpeX',\n", + " 'mode': 'Prism',\n", + " 'observation_date': datetime.datetime(2003, 9, 17, 0, 0),\n", + " 'comments': None,\n", + " 'reference': 'Burg04.2856',\n", + " 'other_references': None},\n", + " {'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASSJ04151954-0935066_T8_LRIS_Burg03.fits',\n", + " 'original_spectrum': None,\n", + " 'local_spectrum': None,\n", + " 'regime': 'optical',\n", + " 'telescope': 'Keck I',\n", + " 'instrument': 'LRIS',\n", + " 'mode': 'Missing',\n", + " 'observation_date': datetime.datetime(2001, 2, 20, 0, 0),\n", + " 'comments': None,\n", + " 'reference': 'Burg03.510',\n", + " 'other_references': None},\n", + " {'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASS_J04151954-0935066_2006-12-26.fits',\n", + " 'original_spectrum': None,\n", + " 'local_spectrum': None,\n", + " 'regime': 'optical',\n", + " 'telescope': 'Keck I',\n", + " 'instrument': 'LRIS',\n", + " 'mode': 'Missing',\n", + " 'observation_date': datetime.datetime(2006, 12, 26, 0, 0),\n", + " 'comments': None,\n", + " 'reference': 'Kirk08',\n", + " 'other_references': None}]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "for i in range(len(results['Spectra'])):\n", - " print(results['Spectra'][i])" + "results[\"Spectra\"]" ] }, { @@ -169,12 +237,12 @@ "id": "11009f80", "metadata": {}, "source": [ - "##### Lets first plot up just one of these spectra, you can directly copy the link from the dictionary and use Spectrum to visualize the data" + "Lets first plot up just one of these spectra, you can directly copy the link from the dictionary and use Spectrum to visualize the data" ] }, { "cell_type": "code", - "execution_count": 200, + "execution_count": 18, "id": "95856ade", "metadata": {}, "outputs": [ @@ -184,7 +252,7 @@ "Text(0.5, 1.0, 'JWST NIRSpec Spectrum of 2MASS J04151954-0935066')" ] }, - "execution_count": 200, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, @@ -207,7 +275,7 @@ }, { "cell_type": "code", - "execution_count": 201, + "execution_count": 19, "id": "b4085d54", "metadata": {}, "outputs": [ @@ -217,7 +285,7 @@ "Text(0.5, 1.0, 'FIRE Spectrum of 2MASS J04151954-0935066')" ] }, - "execution_count": 201, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, @@ -240,7 +308,7 @@ }, { "cell_type": "code", - "execution_count": 202, + "execution_count": 20, "id": "04555395", "metadata": {}, "outputs": [ @@ -250,7 +318,7 @@ "Text(0.5, 1.0, 'AKARI Spectrum of 2MASS J04151954-0935066')" ] }, - "execution_count": 202, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, @@ -271,12 +339,28 @@ "plt.title('AKARI Spectrum of 2MASS J04151954-0935066')" ] }, + { + "cell_type": "markdown", + "id": "e109dce7", + "metadata": {}, + "source": [ + "## Plotting Multiple Spectra of a Single Object" + ] + }, + { + "cell_type": "markdown", + "id": "1a57056b", + "metadata": {}, + "source": [ + "### Converting wavelength and flux units" + ] + }, { "cell_type": "markdown", "id": "d5bbef16", "metadata": {}, "source": [ - "##### The Spectrum.read function automatically picks up on the units within the fits file, and you can see from each of these that the flux is at different units so to be able to plot them all together we would need to do some unit conversion to better visualize them. Lets do that next!" + "The Spectrum.read function automatically picks up on the units within the fits file, and you can see from each of these that the flux is at different units so to be able to plot them all together we would need to do some unit conversion to better visualize them. Lets do that next!" ] }, { @@ -293,6 +377,14 @@ "jwst_flux_converted = flux.to(target_unit, equivalencies=u.spectral_density(jwst_wavelength))" ] }, + { + "cell_type": "markdown", + "id": "fe420ad0", + "metadata": {}, + "source": [ + "### Plotting" + ] + }, { "cell_type": "code", "execution_count": 204, @@ -329,6 +421,14 @@ "plt.show()" ] }, + { + "cell_type": "markdown", + "id": "d5bd6a48", + "metadata": {}, + "source": [ + "### Adding Formatting (Making it Fancy)" + ] + }, { "cell_type": "code", "execution_count": 205, diff --git a/Demo_Visualization_1.5.ipynb b/docs/notebooks/Demo_Visualization_1.5.ipynb similarity index 99% rename from Demo_Visualization_1.5.ipynb rename to docs/notebooks/Demo_Visualization_1.5.ipynb index ede85f833..40c71bba2 100644 --- a/Demo_Visualization_1.5.ipynb +++ b/docs/notebooks/Demo_Visualization_1.5.ipynb @@ -5,8 +5,15 @@ "id": "a8cadec5", "metadata": {}, "source": [ - "## Visualizing Multiple Objects with SIMPLE\n", - "#### Continuing from VisualizingDemo.ipynb" + "## Query by Fundamental Parameters with SIMPLE" + ] + }, + { + "cell_type": "markdown", + "id": "b115ead0", + "metadata": {}, + "source": [ + "## Imports" ] }, { @@ -29,9 +36,17 @@ "plt.rcParams['font.family'] = 'serif'" ] }, + { + "cell_type": "markdown", + "id": "0a1cce5a", + "metadata": {}, + "source": [ + "## Load the Database" + ] + }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "df6e6e0f", "metadata": {}, "outputs": [], @@ -40,22 +55,30 @@ "from astrodb_utils import load_astrodb\n", "from simple import REFERENCE_TABLES\n", "\n", - "SCHEMA_PATH = \"simple/schema.yaml\" \n", + "SCHEMA_PATH = \"../../simple/schema.yaml\" \n", "recreatedb = False #Set to True or False\n", "db = load_astrodb(\n", - " \"SIMPLE.sqlite\", \n", + " \"../../SIMPLE.sqlite\", \n", " recreatedb=recreatedb, \n", " reference_tables=REFERENCE_TABLES, \n", " felis_schema=SCHEMA_PATH\n", " )" ] }, + { + "cell_type": "markdown", + "id": "feed3cd8", + "metadata": {}, + "source": [ + "## Query by Fundamental Parameter" + ] + }, { "cell_type": "markdown", "id": "60cbbf39", "metadata": {}, "source": [ - "#### Now lets try plotting spectra from multiple sources using a couple different metrics we can decide on within SIMPLE" + "Lets try plotting spectra from multiple sources using a couple different metrics we can decide on within SIMPLE" ] }, { @@ -63,7 +86,7 @@ "id": "c62e0ca6", "metadata": {}, "source": [ - "##### To further understand what different ways you can query obects you can reference the schema in simple/schema.yaml and for a visual reference the github documentation: https://github.com/SIMPLE-AstroDB/SIMPLE-db/tree/main/docs" + "To further understand what different ways you can query obects you can reference the schema in simple/schema.yaml and for a visual reference the github documentation: https://github.com/SIMPLE-AstroDB/SIMPLE-db/tree/main/docs" ] }, { @@ -199,6 +222,14 @@ "print(fits_spectra['telescope'].unique())" ] }, + { + "cell_type": "markdown", + "id": "c403538e", + "metadata": {}, + "source": [ + "## Plotting" + ] + }, { "cell_type": "code", "execution_count": 42, @@ -254,12 +285,20 @@ "\n" ] }, + { + "cell_type": "markdown", + "id": "47f71bb8", + "metadata": {}, + "source": [ + "## Bonus Example, Query by Count" + ] + }, { "cell_type": "markdown", "id": "39401535", "metadata": {}, "source": [ - "##### Bonus Example! Using SQL_Query (https://astrodbkit.readthedocs.io/en/latest/astrodb.html#astrodbkit.astrodb.Database.sql_query) we can pull out the values for various modelled parameters and visualize them together to get trends in the data. Lets take this example of comparing temperature to mass for objects with recorded modelled parameters for both. \n" + "Using SQL_Query (https://astrodbkit.readthedocs.io/en/latest/astrodb.html#astrodbkit.astrodb.Database.sql_query) we can pull out the values for various modelled parameters and visualize them together to get trends in the data. Lets take this example of comparing temperature to mass for objects with recorded modelled parameters for both. \n" ] }, { From a39d62d0d9e7b4b1ff4cf8e71bf2b0c1c4a6d6e7 Mon Sep 17 00:00:00 2001 From: canavarrete01 <100876091+canavarrete01@users.noreply.github.com> Date: Tue, 16 Sep 2025 15:53:24 -0400 Subject: [PATCH 10/11] Title changes --- docs/notebooks/Demo_Queries_1.0.ipynb | 2 +- docs/notebooks/Demo_Queries_1.5.ipynb | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/notebooks/Demo_Queries_1.0.ipynb b/docs/notebooks/Demo_Queries_1.0.ipynb index 85aea6ce9..c5df7ae13 100644 --- a/docs/notebooks/Demo_Queries_1.0.ipynb +++ b/docs/notebooks/Demo_Queries_1.0.ipynb @@ -5,7 +5,7 @@ "id": "1ffa299a", "metadata": {}, "source": [ - "# Queries with SIMPLE Demo" + "# Getting Started with Querying the Database Using Python" ] }, { diff --git a/docs/notebooks/Demo_Queries_1.5.ipynb b/docs/notebooks/Demo_Queries_1.5.ipynb index e96f23547..3478ff534 100644 --- a/docs/notebooks/Demo_Queries_1.5.ipynb +++ b/docs/notebooks/Demo_Queries_1.5.ipynb @@ -5,7 +5,7 @@ "id": "1ffa299a", "metadata": {}, "source": [ - "# Using SQL to Query SIMPLE" + "# Advanced Queries using Python and SQL" ] }, { From 29de45122e914fce7159e8a3665bb7cabf09e636 Mon Sep 17 00:00:00 2001 From: canavarrete01 <100876091+canavarrete01@users.noreply.github.com> Date: Tue, 16 Sep 2025 16:00:46 -0400 Subject: [PATCH 11/11] Updated readme --- README.md | 8 ++++++-- docs/README.md | 6 +++++- 2 files changed, 11 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 4962f523e..f0394d563 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ The vision of the SIMPLE project is to create a *collaborative* database of low-mass stars, brown dwarfs, and directly imaged exoplanets: a simple archive of complex objects. The tables and fields currently included in the -database are described in the [Documentation](documentation/README.md) +database are described in the [Documentation](docs/README.md) and currently include names, coordinates, photometry and reference and data provenance information and is visualized in the [schema](#simple-database-schema) below. The archive includes kinematics, spectra, modeled and retrieved parameters. @@ -20,6 +20,10 @@ If you are not already in the Astropy Slack, [request an account](http://joinsla To see more details about how this project got started and our initial discussions, check out the [archived running notes in the Wiki](https://github.com/SIMPLE-AstroDB/SIMPLE-db/wiki/Original-Notes). +## Demo Notebooks +- [Querying the Database](docs/notebooks/Demo_Queries_1.0.ipynb) +- [Visualizing with the Database](docs/notebooks/Demo_Visualization_1.0.ipynb) + ## Getting Started If you'd like to set up your own copy of the SIMPLE database, here's what we recommend: @@ -88,4 +92,4 @@ The schema for the SIMPLE database is described in the [Documentation](documentation) and can be found in [`simple/schema.yaml`](simple/schema.yaml). A graphical representation of the SIMPLE schema: - + diff --git a/docs/README.md b/docs/README.md index 2747bbc9a..4470c36b6 100644 --- a/docs/README.md +++ b/docs/README.md @@ -1,3 +1,7 @@ +# Demo Notebooks +- [Querying the Database](notebooks/Demo_Queries_1.0.ipynb) +- [Visualizing with the Database](notebooks/Demo_Visualization_1.0.ipynb) + # Schema Documentation This documentation is generated from the [schema.yaml](simple/schema.yaml) file using [build_schema_docs.py](scripts/build_schema_docs.py). @@ -24,4 +28,4 @@ This documentation is generated from the [schema.yaml](simple/schema.yaml) file ## Schema Diagram This diagram is generated from the [schema.yaml](simple/schema.yaml) file using [make_erd.py](scripts/make_erd.py). -![Schema Diagram](figures/auto_schema.png) +![Schema Diagram](figures/auto_schema.png) \ No newline at end of file