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g2c_curves • Show schema
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{'Lhash': '1373523800654141453', 'abs_disc': 2640, 'analytic_rank': 0, 'analytic_rank_proved': True, 'analytic_sha': 1, 'aut_grp_id': '[4,2]', 'aut_grp_label': '4.2', 'aut_grp_tex': 'C_2^2', 'bad_lfactors': '[[2,[1,-1,2]],[3,[1,1,3,3]],[5,[1,1,3,-5]],[11,[1,-3,7,11]]]', 'bad_primes': [2, 3, 5, 11], 'class': '1320.a', 'cond': 1320, 'disc_sign': 1, 'end_alg': 'Q x Q', 'eqn': '[[55,0,-40,0,9,0,-1],[0,1,0,1]]', 'g2_inv': "['686471900571962215488/55','28601826290311163976/55','28888377841215936']", 'geom_aut_grp_id': '[4,2]', 'geom_aut_grp_label': '4.2', 'geom_aut_grp_tex': 'C_2^2', 'geom_end_alg': 'Q x Q', 'globally_solvable': 1, 'has_square_sha': True, 'hasse_weil_proved': True, 'igusa_clebsch_inv': "['63768','10392','220729308','10560']", 'igusa_inv': "['31884','42356162','75020763840','149479393726079','2640']", 'is_gl2_type': True, 'is_simple_base': False, 'is_simple_geom': False, 'label': '1320.a.2640.1', 'leading_coeff': {'__RealLiteral__': 0, 'data': '0.5545856602398680791947128196621323287844865496874535376', 'prec': 190}, 'locally_solvable': True, 'modell_images': ['2.180.3', '3.90.1'], 'mw_rank': 0, 'mw_rank_proved': True, 'non_solvable_places': [], 'num_rat_pts': 2, 'num_rat_wpts': 2, 'real_geom_end_alg': 'R x R', 'real_period': {'__RealLiteral__': 0, 'data': '17.746741127675778534230810229', 'prec': 100}, 'regulator': {'__RealLiteral__': 0, 'data': '1.0', 'prec': 10}, 'root_number': 1, 'st_group': 'SU(2)xSU(2)', 'st_label': '1.4.B.1.1a', 'st_label_components': [1, 4, 1, 1, 1, 0], 'tamagawa_product': 2, 'torsion_order': 8, 'torsion_subgroup': '[2,4]', 'two_selmer_rank': 2, 'two_torsion_field': ['4.4.27225.1', [49, 0, -19, 0, 1], [4, 2], True]}
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g2c_endomorphisms • Show schema
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{'factorsQQ_base': [['1.1.1.1', [0, 1], -1], ['1.1.1.1', [0, 1], -1]], 'factorsQQ_geom': [['1.1.1.1', [0, 1], -1], ['1.1.1.1', [0, 1], -1]], 'factorsRR_base': ['RR', 'RR'], 'factorsRR_geom': ['RR', 'RR'], 'fod_coeffs': [0, 1], 'fod_label': '1.1.1.1', 'is_simple_base': False, 'is_simple_geom': False, 'label': '1320.a.2640.1', 'lattice': [[['1.1.1.1', [0, 1], [0]], [['1.1.1.1', [0, 1], -1], ['1.1.1.1', [0, 1], -1]], ['RR', 'RR'], [2, -1], 'G_{3,3}']], 'ring_base': [2, -1], 'ring_geom': [2, -1], 'spl_facs_coeffs': [[[13], [-35]], [[201], [-1701]]], 'spl_facs_condnorms': [24, 55], 'spl_facs_labels': ['24.a4', '55.a3'], 'spl_fod_coeffs': [0, 1], 'spl_fod_gen': [0], 'spl_fod_label': '1.1.1.1', 'st_group_base': 'G_{3,3}', 'st_group_geom': 'G_{3,3}'}
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g2c_ratpts • Show schema
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{'label': '1320.a.2640.1', 'mw_gens': [[[[-4, 1], [0, 1], [1, 1]], [[0, 1], [-5, 2], [0, 1], [0, 1]]], [[[-3, 1], [0, 1], [1, 1]], [[1, 1], [-2, 1], [0, 1], [0, 1]]]], 'mw_gens_v': True, 'mw_heights': [], 'mw_invs': [2, 4], 'num_rat_pts': 2, 'rat_pts': [[-2, 5, 1], [2, -5, 1]], 'rat_pts_v': True}
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g2c_galrep • Show schema
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id: 392
{'conductor': 1320, 'lmfdb_label': '1320.a.2640.1', 'modell_image': '2.180.3', 'prime': 2}
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id: 393
{'conductor': 1320, 'lmfdb_label': '1320.a.2640.1', 'modell_image': '3.90.1', 'prime': 3}
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g2c_tamagawa • Show schema
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id: 13629
{'label': '1320.a.2640.1', 'p': 2, 'tamagawa_number': 2}
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id: 13630
{'cluster_label': 'c2c4_1~2_-1~2', 'label': '1320.a.2640.1', 'p': 3, 'tamagawa_number': 1}
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id: 13631
{'cluster_label': 'c4c2_1~2_0', 'label': '1320.a.2640.1', 'p': 5, 'tamagawa_number': 1}
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id: 13632
{'cluster_label': 'c4c2_1~2_0', 'label': '1320.a.2640.1', 'p': 11, 'tamagawa_number': 1}
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g2c_plots • Show schema
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{'label': '1320.a.2640.1', 'plot': 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07Oefpfr1barls8%2BkSy8t%2BHV5edIxx9iO0SpVpL/%2BCm2dOHQ7d0ovvywNGmRT9pL94uzRQ7rlFnb0RgpGAPe1caN01VXStGl28/Lii3ZsJYDIwwigY/XqSQ8/bNd33y1t3lzw62Ji7M1WsnNfX3opNPXh0GVn2xq/6tWt1c/atRbWX3nFpvjvuIPwh8hWtqyN/N18sy1JadvW%2BlQyjABEHkYAw0BWlh3Ivnix7QB9%2B207NaQgtWrZ60qWtNFA2sK4l51tx/cNGCCtWmWPVapkvxjbtLE2Gog8jADun98v9e5t/SslG9keMUIqUsRpWQAOA/EhDBQvLr35pk2pvPtu4Czggrz7rn3etu3AO4dR%2BHbtslHZGjXs6L5Vq6SKFW0U8I8/pHvvJfwhOvl8Up8%2BFvpiY%2B3967LL7H0JQGRgBDCMDBokde0qFS1qC65PPbXg1zVpYjuB4%2BKsh1yJEiEt0/Oys20H98CBNh0vSSkpUpcuNiVWtKjb%2BhAcjAAemvHjrXF5VpZtavviC9rEAJGAEcAw8uij0sUX2yaCVq0CLUP%2B6913beo3N9fWlSE0du60di7Vq0v33Wfhr0IF6bnnpD//lB58kPAH77n4YmniRDutaNYs6ZxzpJUrXVcF4GAIgGEkJsYOXz/xRGnZMjuKqaBTQo47zhoHS3ZO8Pr1oa3Ta3bssCPbqlWT2rWzqd6UFHts6VJr0UPwg5eddZY0fbqtfV24UGrc2I6RAxC%2BCIBh5phjrOlqYqL1/LvjDmsB81%2BvvmpTwH6/7chD8G3bZqe0VK1qu3rXrLFfcMOGMeIH/Fft2tJ330k1a9ro%2BDnnSL/95roqAPtDAAxDJ58sffihBby335YaNNg3BJYoYW1jJOnbb%2BkLGEybN0t9%2B9pZvZ072wjr8cfbho8//rBRQIIfsK8qVaxH4Kmn2r%2Bb886zXqcAwg%2BbQMLYa6/ZIeyStYn56ae9277k5NhIYXa2vdFOnuykzKixfr2d3DF8uJ3OItkO3y5drM0FLS68hU0gR27zZqlFC2nmTCk5WfrqK5smBhA%2BGAEMY23aWPCQpDlz7K46JyfwfJEi1mpEsuniNWtCX2M0%2BPNPa%2BNy/PF2Xu/WrVKdOtKYMdLvv9v3gfAHHLrSpa1hdOPG1q/0wgs5whIINwTAMPfGG4EQ%2BNtvthFhy5bA8089Zb3mmvgnamLTvtKQIbaDBAf188/WeLtmTemFF2wktUED6ZNPpF9%2BkW64gbN6I1Xv3r3l8/n2%2BihfvrzrsjwlKclaxDRpYjdVF11kawQBhAcCYAR44w3pgQfseuVKqXJlGxGUpCLrVmpxydM1Uc108%2BKeUqdOgT4lBe0e8bi8POnzz6WmTaUzz5Tee88ea9FCmjTJRikuv5wTVqLBySefrLVr1/778euvv7ouyXNKlrR/b%2Befb5uqWrSQZsxwXRUAiQAYMYYOtR2pPp%2B9kZ55pjRoQJ506aU6ftPcvV%2Bcl2c7Fvr2dVNsGNq%2B3f5KUlPtxILJk21076abpLlzAyMV%2BzuCD5EnLi5O5cuX//fj2GOPdV2SJxUvLn366d4hcOZM11UBIABGkEcekb7%2BWkpIsIw3tduX0oFGNYYOte7FHvbXX7aJo0oVGxRdtMimph55xGbK33pr/yeuILItWbJEKSkpqlq1qq6//notXbrUdUmeVby4tbc67zwpM9Omg/NnMQC4wS7gCPTPP/ZGevP8LuqiJw/84p9%2BkurVC01hYSIvz04mSE%2B3Xzr5M%2BEnnmi9%2B9q0sRCI6DV%2B/HhlZWWpZs2aWr9%2Bvfr166eFCxdq/vz5KlOmTIH/m%2BzsbGXv0Xk9MzNTlStXZhdwEOWPAH73nZ0cMmWKtb0CEHoEwAj2Y4teOuurJw78ol9/tS2tHrBxozRqlPTyy9LixYHHzz/fTuu47DI2dXjV9u3bVa1aNT366KPq2LFjga/p3bu3%2BvTps8/jBMDgysyULrjAjo0rX976Blav7roqwHsIgJFszhzpjDP2/3zNmnYuUxQvbMsf7Xv1VWnsWGnXLns8MVG69VZr75Ka6rZGhIcLL7xQ1atX1wsvvFDg84wAhs6mTbYRa948a7%2BUf4wcgNCJc10AjsLpp9uBwR9%2BWPDzTzwRteFv8WLpzTdth/SKFYHH69WzE1JuvNF2IAKShbvff/9d55xzzn5fk5CQoISEhBBW5V3HHGPrmc85x84MvvBCGwksW9Z1ZYB3EAAj3ejRUkqKNGKElJVlj51wgtS/vzW5iyJr11rbljFj9t5FWKqUBb477zzwgCi8o1OnTmrZsqWqVKmiDRs2qF%2B/fsrMzNRtt93mujT8v%2BOOk775RmrUyCYqLr7YRvMTE11XBngDU8DRYssW615crJj1iImSRnarV9vU7gcf2Gkn%2BT%2BtsbFS8%2BY2zXvllZzNi71df/31mjp1qjZu3Khjjz1WDRo0UN%2B%2BfZV6GOsBOAouNBYutJHAjRulZs2sbyADsUDhIwAirPj91pfv889tB%2B%2BsWXs/36CBjfZde62NIACFhQAYOrNm2ZrA7dtt4mLMmKi5hwXCFlPAcG71ajuFY8IEWxe0bl3gOZ9POvts6aqrpNatbcE4gOiSlmYj/ZdeKr37ru0OfvbZqF3CDIQFRgARUrm50oIF0o8/2rFr06dLf/yx92uKF7epoJYtrXVLhQpuaoW3MQIYem%2B/bSP8kp1z3qmT23qAaMYIoMf8/rvUo4f055%2B2bq5iRalGDesYU6OGVK2a3X0f7Z13To6dwvHHH7bGZ/58a/kwb96%2Bh5PExNjmjfPPt3V9jRuzBgjwohtukNasseDXubOdex5le9mAsMEIoIfk5NiRaHtOsRYkIcFel5Ji6%2BzKlLGTM0qUsOfy1%2Bbk5Eg7dlh3/y1bbBH3%2BvU2pbt2beAEjv9KTLQpnwYNbAdgw4a2kxcIJ4wAuuH3Sw8/LD33nBQfbzuFD9C9B8ARIgB6yPLlUtWqdv3ZZ9Y0%2Ba%2B/rA/X4sU2Wrdixf6D2%2BEqWtRGFGvVsmbMp5xi5%2B5Wr84Cb4Q/AqA7u3fbRq%2BPPpJKl5ZmzLD3EQDBQwD0kO3bbSQvL8%2BCX5Uq%2B74mJ0datcqC4Jo10oYN1rU/M9PaDGZn25uzzyfFxVnXmZIlpeRkGyk87jgbOaxSRSpXjqCHyEUAdGvHDtsZ/OOPdiP5ww80igaCiQDoMY0b20HsQ4ZI%2BzkSFYAIgOFgwwZbKrJsmS0X%2BeYben4CwcL4jMfcdJN9HjEi0FQZAMJRuXLWEzQ52W5c27blfQsIFgKgx9x4o7VZWbDAeu8BQDg76SQ7CSg2VnrrLWngQNcVAdGBAOgxycnS7bfb9ZAhTksBgENywQXS0KF23a2bbQ4BcHQIgB7UoYNt4vjiC%2Bm331xXAwAHd9990oMP2vUtt9jR5wCOHAHQg2rUkK6%2B2q6ZTgEQKZ55RrrwQutIcMUV0t9/u64IiFwEQI/q2tU%2Bv/OOnQoCAOEuLs7OCq5e3VpZtW5trasAHD4CoEedcYZ08cXWE5BRQACRonRpadw4O1Fo6lRb0gLg8BEAPax7d/s8apSdEgJASk9PV2pqqtLS0lyXgv046STbESxJw4dLr73mth4gEtEI2uMuvNCaq7ZtK738sutqgPBBI%2Bjw17ev1LOnnRk8bZpUv77rioDIQQD0uOnT7aD1uDg7C/j4411XBIQHAmD4y8uzDW0ffyxVqiT9/LM1jwZwcEwBe1zjxlKzZlJurtS/v%2BtqAODQxcTYEpZatewM8%2Buvt/cyAAdHAIT69LHPI0famZsAECmSkqSxY6WSJe10o8cfd10REBkIgFCjRrYWkFFAAJHopJMCG0GeesoCIYADIwBCUmAU8PXX6QsIIPJcc43UsaNd33abtGSJ23qAcEcAhCTp7LOlFi2k3bttZx0ARJpBg2xd89at1iR6xw7XFQHhiwCIf%2BWPAr75prRokdtaAOBwFSliJ4WUKyfNmxc4OxjAvgiA%2BFf9%2BlLLltZa4YknXFcDAIcvJUUaM0by%2BaQRI6Q33nBdERCeCIDYS/4o4NtvS/Pnu60FAI5Es2ZS7952fd990oIFTssBwhIBEHs5/XTpqqskvz/wBgoAkaZbN%2BmCC6SsLOnaa%2B0zgAACIPbRp49Nn3zwgTR3rutqAODwxcbaecHly9tsxkMPua4ICC8EQOyjTh3rqC/ZOZsAEImOO04aPdpuaF99VXrnHdcVAeGDAIgC9eplxyx9%2Bqk0c6bragDgyJx/vk0HS9Ldd9PnFMhHAESBatWSbr3Vrrt3d1sLAByNXr0C/QFvuEHatct1RYB7BEDsV8%2BeUlycNGGCNG2a62oA4MjExdlUcOnS0qxZLG0BJAIgDqBqVenOO%2B26e3fbGQwAkahKFVsHKEmDB0vffuu2HsA1AiAOqHt3KSFBmjrVRgIBIFJddZWtA/T7pVtukTZudF0R4A4BEAdUqZI1UpUYBQQQ%2BZ59VqpdW1q7Vmrblvc0eBcBEAfVpYtUvLitnRk3znU1QOFKT09Xamqq0tLSXJeCQlC8uB0VV6SI9PHHgWlhwGt8fj/3Pzi4xx%2BXBg6U6ta15tAx3DogymVmZio5OVkZGRlKSkpyXQ6C7Omnpc6dLRDOnSvVqOG6IiC0%2BDWOQ9Kpk5SUJP36q/Tee66rAYCj07Gj1LSpHRF3881STo7rioDQIgDikBxzjIVAyVoo5Oa6rQcAjkZMjDRqlFSqlDW779/fdUVAaBEAccg6dJDKlpWWLJHeeMN1NQBwdCpXloYPt%2Bt%2B/Tj1CN5CAMQhS0y0DSGS1KePlJ3tth4AOFo33GBnn%2B/eba1hsrJcVwSEBgEQh%2BX%2B%2B6WUFGnFCumVV1xXAwBHb/hwe19bvFh67DHX1QChQQDEYSlWLHA2cL9%2B0vbtbusBgKNVurQ0cqRdDxsmffON23qAUCAA4rDdead04onS%2BvXS0KGuqwGAo9e8eaDp/R13SBkZbusBChsBEIctPl7q1cuuBw%2BWtmxxWw8ABMNTT0nVqkmrVkkPP%2By6GqBwEQBxRG66SUpNlTZvloYMcV0NABy9EiWk11%2BXfD6bEv7sM9cVAYWHAIgjEhsr9e1r188%2BK23Y4LYeAAiGxo2tSbQk3X23tGmT23qAwkIAxBFr1UqqV882ggwc6LoaAAiOvn2lWrWktWulhx5yXQ1QOAiAOGI%2BnzRggF2/8IK0cqXbegAgGIoVs6ngmBjprbekTz91XREQfARAHJULL5TOO8%2BaQvfp47oaAAiOBg2kRx6x67vvtvXOQDQhAOKo7DkK%2BPrr0qJFTssBgKDp08emgtetY1cwog8BEEetYUPpssvsKKWePV1XAwDBUayY9NprdqM7apQ0frzrioDgIQAiKPr3tzfJ996TZs92XQ0ABEfDhoGNIPfcI2Vmuq0HCBYCIILilFPsUHVJ6tbNbS0AEEz9%2BtnpRytXclYwogcBEEHzxBNSXJz05ZfS1KmuqwGA4ChRQnr1Vbt%2B8UXe3xAdCIAImmrVpLvususuXSS/3209wJFIT09Xamqq0tLSXJeCMNK0qdS2rV3fdZe0Y4fbeoCj5fP7%2BTWN4FmzRqpe3d4cx42TWrZ0XRFwZDIzM5WcnKyMjAwlJSW5LgdhICPDjsBcs0bq2jXQAQGIRIwAIqhSUqT27e368cdtZzAARIPkZCk93a4HD5bmznVbD3A0CIAIuscek0qVkn77TRozxnU1ABA8V14pXX213dy2bSvl5rquCDgyBEAEXenSgZ1yPXvaKSEAEC2GDrXRwJ9%2BsmsgEhEAUSjat5cqVJCWL5deftl1NQAQPBUq2BSwJHXvLv31l9t6gCNBAEShKF5c6tXLrvv2lbZudVsPAATTXXdJ554rZWVJ999P1wNEHgIgCk2bNlKNGtLff0vPPOO6GgAInpgY6aWXpPh46YsvpPffd10RcHgIgCg0RYpYB31JevppacMGt/UAQDDVrm3tYCQ7Lm7LFrf1AIeDAIhC1bq1VK%2BetG2bnRcMANGkSxepZk1p3TqOwURkIQCiUMXESE8%2BadcvvCAtW%2Ba2HgAIpqJF7Xg4yd7jfvzRbT3AoSIAotA1ayZdeKGUkyP16OG6GgAIrqZNpVtvtY0g99xDb0BEBgIgQmLQIPs8Zgzd8wFEn6efth6ov/wiPf%2B862qAgyMAIiTOOEO6/nq7Q%2B7SxXU1ABBcxx4rPfWUXffsKa1a5bYe4GAIgAiZfv2kuDjpq6%2Bkb791XQ0ABNcdd0gNG0rbt0sdOriuBjgwAiBCplo16d577fqxx6Q8Q7DFAAAgAElEQVS8PLf1AEAwxcTYRpDYWOnDD6Xx411XBOwfARAh1aOHVLKk9PPP0nvvua4GAILrlFOsJ6AkPfigtHOn23qA/SEAIqTKlZMefdSuu3WTdu1yWw8ABFvv3lLFitKffwY2wAHhhgCIkHv4Yal8eWnp0kD/LACIFomJgeMvBw2yIAiEGwIgQq5kSbtDlqS%2BfaWMDKflAHtJT09Xamqq0tLSXJeCCHbNNdIFF0jZ2VL79tYBAQgnPr%2BfH0uEXm6uVLeutHCh9PjjHBOH8JOZmank5GRlZGQoKSnJdTmIQIsW2ftcTo70ySfS5Ze7rggIYAQQTsTFBdbGPPustHq123oAINhq1ZIeecSuH3pI2rHDbT3AngiAcObyy6XGje1NkSPiAESj7t2lSpWk5cvZEILwQgCEMz6fHZ8kSa%2B/Lv36q9NyACDoSpSwWQ5JevJJ2/wGhAMCIJw66yypdWtbIJ3fHgYAosnVV0vNmtmGkIcfdl0NYAiAcG7QIKlIEenLL6UJE1xXAwDB5fNJQ4fa2udx4zghBOGBAAjnqlWT7r/frjt3lnbvdlsPAATbSSdZOxjJNoTQBB%2BuEQARFnr0kJKTpV9%2Bkd5803U1ABB8vXpJxx0nLVki/e9/rquB1xEAERbKlLHdcpJ9zspyWw8ABFtSkm0EkawJ/po1buuBtxEAETYeeEA64QTrCZh/jBIARJNbbrHNb9u2SV26uK4GXkYARNgoWlQaONCuBw2S1q1zWw8ABFtMjG0IkWy5y4wZbuuBdxEAEVauu06qX1/avl3q2dN1NQAQfGlp0h132HX79lJentt64E0EQIQVny8w/TtiBM2hAUSngQOlxETpp5%2BkUaNcVwMvIgAi7DRqZM2h8/LsHE2/33VFABBcxx0XOAKza1dp61a39cB7CIAIS4MGSfHx1hiapqkAotFDD0k1akjr10v9%2B7uuBl5DAERYqlYt0DS1UycpN9dtPQAQbPHx0pAhdv3ss9Kff7qtB95CAETY6tbN%2BgP%2B/rv08suuqwGA4LvsMql5czsZpHNn19XASwiACFulSkl9%2Bth1z57S5s1u6wGAYMvf%2BBYbK40dK02a5LoieIXP72eJ/ZHy%2B/3aysrdQpWbKzVsKC1aJLVrJw0Y4LoiRKvs7GxlZ2f/%2B%2BetW7cqNTVVK1euVFJSksPK4AWdOkmvvCLVqSNNnWqBEIUvMTFRPp/PdRlOEACPQmZmppKTk12XAQAAjkBGRoZnb/AIgEfhaEcA09LSNGvWrKDVk5mZqcqVKwd9xCLYdR7J17z6aumbb6QWLaR33w3O1zxUfJ/C/%2B80GF/zvyOAa9euVf369bVgwQJVrFgxGCVKCs//9lB%2BXS//ezrY101Plx5/XDr2WGn2bDs7%2BGi/5pHyyvfJyyOAca4LiGQ%2Bn%2B%2BofpBjY2ML5c4jKSkpqF%2B3MOo83K85dKhUt6705ZfSzJnSBRcc/dc8VHyfIuPvtLBqTUxM5PsU5l9Tiox/Twf7uo88Io0cKS1ZYmEw/2jMo/maR8rr3ycvYBOIQ%2B3atXNdwiEpjDoP92vWri3df79dd%2BhQcFuYwvr75PsUfJFUa7BF0n97JNUabC7%2BTuPjpaeftutnn5WWLz/6r3mkvP598gKmgKNI/prEaF3TsGmTNU3dtMnujvMDYaSJ9u9TtFi1atW/U1aVKlVyXQ72I9r%2BPfn9NsMxcaKdjf7OO64rCo5o%2Bz5FA0YAo0hCQoJ69eqlhIQE16UUimOOkZ54wq579LAgGImi/fsULfK/P3yfwlu0/Xvy%2Baw5tM9n651nzHBdUXBE2/cpGjACiIiSmyuddpo0f7704IPS88%2B7rgjRihELuHTnndJrr0kNGkjff2%2BBEAgmRgARUeLipOees%2Bvhwy0IAkC06dtXKlFC%2BuEH6b33XFeDaEQARMRp1ky68kpp927bEMIYNoBok5IiPfqoXXfpIu3RoQgICgIgItKQIVJCgvUG/Phj19UAQPA98ogFweXLrRUWEEwEQESkE0%2B0o5MkqWNHaccOt/UAQLCVKCH172/X/fpJGze6rQfRhQAYJXJycvTYY4%2Bpbt26KlGihFJSUnTrrbdqzZo1rksrNF27SpUq2d1xfu%2BsSPDRRx/poosuUtmyZeXz%2BTR37lzXJQERZ%2BrUqWrZsqVSUlLk8/n0cZROBdxyi218y8iwdYGRZuDAgUpLS1NiYqLKlSunK6%2B8UosWLXJdFkQAjBpZWVmaPXu2evToodmzZ%2Bujjz7S4sWLdfnll7surdCUKCE99ZRdDxworVjhtp5DtX37djVq1EiDBg1yXQoQsbZv365TTz1Vw4YNc11KoYqNDbzPDR8u/fGH23oO15QpU9SuXTv98MMPmjBhgnJzc9W8eXNt377ddWmeRxuYKDZr1izVr19ff/31l6pUqeK6nELh90tNmkhTp0qtW0vvv%2B%2B6okO3fPlyVa1aVXPmzNFpp53muhz8B21gIofP59PYsWN15ZVXui6l0FxyiTR%2BvJ2L/sEHrqs5cn///bfKlSunKVOm6Nxzz3VdjqcxAhjFMjIy5PP5VKpUKdelFBqfzxZHx8TYm%2BLEia4rAoDgGzzY3uc%2B/ND6AkaqjIwMSdIxxxzjuBIQAKPUzp071aVLF914441RP3pxyimBY%2BEefFDKyXFbDwAEW5060h132HWnTpHZ/srv96tjx45q3Lix6tSp47oczyMARqjRo0erZMmS/35Mmzbt3%2BdycnJ0/fXXKy8vT8OHD3dYZeg88YRUtqy0YEF4nQ5yoO8TAByOJ56Qihe34%2BHGjnVdzeF74IEHNG/ePL399tuuS4EIgBHr8ssv19y5c//9OPPMMyVZ%2BLv22mu1bNkyTZgwIepH//KVLi3l76no3VsKl83P%2B/s%2BAcDhSkmx3oCSNYeOpNmOBx98UOPGjdOkSZNUqVIl1%2BVABMCIlZiYqOrVq//7UaxYsX/D35IlS/TNN9%2BoTJkyrssMqTvukM46S9q2Terc2XU1pqDvEwAcqc6dpXLlpCVLpJdfdl3Nwfn9fj3wwAP66KOPNHHiRFWtWtV1Sfh/BMAokZubq9atW%2Bunn37S6NGjtXv3bq1bt07r1q3Trl27XJcXEjExUnq6bQwZM0aaPNl1RQXbtGmT5s6dqwULFkiSFi1apLlz52rdunWOKwMix7Zt2/4dWZekZcuWae7cuVoRKf2gjlBiotSrl1336SNt3eq2noNp166d3nrrLY0ZM0aJiYn//l7aQfd%2B9/yICsuWLfNLKvBj0qRJrssLqfvu8/slvz811e/ftct1NfsaOXJkgd%2BnXr16uS4Nfr9/2LBh/pNOOslfs2ZNvyR/RkaG65JQgEmTJhX47%2Bi2225zXVqh27XL769Z097nevRwXc2B7e/30siRI12X5nn0AUTU2bxZqlnTjk0aPDh8poMRWegDiHD20UfWE7B4cWsOXaGC64oQaZgCRtQpXdqCn2RTJKtWua0HAIKtVSupQQMpK8ve54DDRQBEVLrtNqlRI2n7dqlDB9fVAEBw%2BXyBI%2BJefVVauNBtPYg8BEBEpZgYOzczNtY6548f77oiAAiuxo2lli2l3bulxx93XQ0iDQEQUeuUU6SHHrLrBx6Q2HQGINoMHGg3vGPHWoNo4FARABHVeveWKlWSli6VBgxwXQ0ABNfJJ0u3327Xjz4amUfEwQ0CIKJaYqL03HN2/eST0u%2B/u60HAIKtTx%2BpaFFp%2BnTp889dV4NIQQBE1GvVSrr0Ujs26b77uEMGEF0qVZLat7frrl1tTSBwMARARD2fTxo2TCpWTJoyRRo1ynVFABBcXbpIpUpJv/0mvfWW62oQCQiA8IQTTrD1gJLUqZM1iQaAaFG6tI3%2BSVLPntLOnW7rQfgjAMIzHn5YqltX%2BucfC4EAEE0efFCqWFFasUJ64QXX1SDcEQDhGUWKSC%2B/bFPCo0ZJEye6rggAgqdYscBMR//%2BUmam03IQ5giA8JQGDWwjiCTdcw%2B9AQFEl9tvl2rVspmOp592XQ3CGQEQnjNggJSSYgeo9%2BvnuhoACJ64uEDP02eekdavd1sPwhcBEJ6TnGy7giVp8GBp3jy39QBAMLVqJaWl2Vno3ORifwiA8KRWrewjN1dq25a%2BWQCih88nDRpk1y%2B9JC1b5rYehCcCIDxr2DApKUmaOVN6/nnX1QBA8Jx/vnThhdYAv2dP19UgHBEA4VkpKdJTT9l19%2B7cJQOILvlrAUePln791W0tCD8EQHjaXXdJ550nZWXZrmCOiQMQLc48U2rd2t7XunVzXQ3CDQEQnhYTI73yih2kPmGCNHKk64rgWnp6ulJTU5WWlua6FOCo9esnxcZKn34qzZjhuhqEE5/fz5gHMHiw9Nhjdpbm/Pk2PQxvy8zMVHJysjIyMpSUlOS6HOCI3XWXNGKE1KSJNcD3%2BVxXhHDACCAgqWNHmy7ZskW6/36mggFEj549pfh4afJk6euvXVeDcEEABGTNU197zY6L%2B%2BQT6Z13XFcEAMFRpYrUrp1dP/44N7gwBEDg/9Wta7uBJTtUnQ76AKJF165SyZLS7NnShx%2B6rgbhgAAI7KFLF%2BnUU%2B0czXbtuFMGEB2OPdaWukh2o5ub67YeuEcABPYQHy%2B9/rpNCX/4ofT%2B%2B64rAoDg6NhRKlNGWrRIevNN19XANQIg8B%2BnnWbrZCTbEMJUMIBokJxssxyS1Lu3lJ3ttBw4RgAECtCtW2Aq%2BL77mAoGEB3atbM2VytWWA9UeBcBEChAfLw0apTtCh47VhozxnVFAHD0ihWTevSw6379pO3b3dYDdwiAwH6cemrgEPUHHpBWr3ZbDwAEQ5s2UtWqtrxl6FDX1cAVAiBwAF26BBpE33knU8EAIl98vNSnj10PHmzvb/AeAiBwAHFx0htv2FnBX30lvfSS64oA4OjdeKOUmipt3iwNGeK6GrhAAAQO4qSTpAED7PqRR6Q//nBbDwAcrdhYqW9fu/7f/6S//3ZbD0KPAAgcgocekpo2lbKypFtvpYkqgMjXqpVUr560bZs0aJDrahBqBEDgEMTEWIPopCRpxgzeLAFEPp/PdgJLUnq6tGqV23oQWgRA4BBVqSING2bXffpIP/3kth4AOFoXXSSdc441he7f33U1CCUCIHAYbr5ZuvZamwK%2B6SZ6aAGIbHuOAr76qrR0qdt6EDoEQOAw%2BHzSCy9YJ/3Fi21TCABEsnPPlZo3txvb/PYwiH4EQOAwHXOMtYbx%2BawtzCefuK4IAI5O/ijgW29JCxe6rQWhQQAEjkCzZoHRvzvvlNascVsPgic9PV2pqalKS0tzXQoQMmlp0hVXSHl5gROQEN18fj9nGwBHIjtbOvtsac4cC4Rff227hREdMjMzlZycrIyMDCUlJbkuByh0v/5qR2D6/dLcuXaN6MWvK%2BAIJSRIY8ZIxYtL334rPfWU64oA4MjVrStdd51d9%2BjhthYUPgIgcBRq15aef96uu3eXZs50Ww8AHI3evW0m49NPeT%2BLdgRA4Ci1aRNoDXP99VJGhuuKAODI1Kol3XKLXTMKGN0IgMBRyt8NfMIJ0rJl0j332BoaAIhEvXpJcXG2rnnaNNfVoLAQAIEgKFVKevtte9N8911rqAoAkahqVetuINkoIDe00YkACARJgwaBo5Tat5fmzXNbDwAcqW7dpPh4acoUaeJE19WgMBAAgSDq1Em6%2BGJp505bF7htm%2BuKAODwVa5sy1kkRgGjFQEQCKKYGDslpGJFadEi1gMCiFxdu0rFikkzZkjjx7uuBsFGAASCrGxZ6Z13pNhY6xP4yiuuKwKAw1ehgtSunV337MnNbLQhAAKFoHFjaeBAu27fXpo92209AHAkHn1UKlFC%2Bvlnadw419UgmAiAQCF55BGpZUs7Mq51a2nzZtcVAcDhOfZYu4mVrD1MXp7behA8BECgkMTESKNGWUuFZcukW2/lzRNA5OnUSUpMlH75RRo71nU1CBYCIFCISpeWPvzQzg3%2B7DNpwADXFQHA4TnmGKlDB7vu3Zsb2WhBAAQK2emnS8OH23XPntJXX7mtBwAO18MPS8nJ0m%2B/2U0tIh8BEAiBNm2ktm1tF92NN9qUMABEitKlA6OATzzBKGA0IAACITJ0qFS/vrRpk9SqlZSV5boiADh0HTowChhNCIBAiCQkSB98YLvqfvklMCIIAJGgVKnAKGDfvowCRjoCIBBClStbCIyLsybRTz/tuiIAOHQdOkhJSdKvv0off%2By6GhwNAiAQYueeKz37rF136cKmkHCTnp6u1NRUpaWluS4FCDulSgX6AvbrxyxGJPP5/Xz7gFDz%2B20KeMQIW1Mzc6ZUs6brqrCnzMxMJScnKyMjQ0lJSa7LAcLGP/9Ixx8vbd8uff65dMklrivCkWAEEHDA55PS06WGDaWMDOnyy6UtW1xXBQAHV6aMdO%2B9dp1/5CUiDwEQcCQhQfroI6lSJWnRIum666TcXNdVAcDBdewoxcdL06dLM2a4rgZHggAIOHTccXbAevHi0tdfW7NVAAh3KSnSTTfZ9ZAhbmvBkSEAAo6dfrr05pt2PWxY4NQQAAhnHTva57FjpVWr3NaCw0cABMLAVVcF1tK0by99%2BaXbegDgYOrUsa4GeXnS66%2B7rgaHiwAIhInHHpNuv13avVu69lpp3jzXFQHAgbVpY5/fecdtHTh8tIEBwsiuXdJFF0mTJ9vmkB9/tLU2CD3awCCSZWXZmePLlkkrVkhr10rr11sLly1bpG3bpJ07pZwce31MjG1MK17cWlMdc4xUrpxUoYJUpYp0wglStWr2%2BJ42bbJdwfnXpUuH9D8TRyHOdQEAAuLjbWdww4bSwoXSpZdKU6dKiYmuKwMQjvLypCVLpJ9/tiMm582TFiyw0FcYSpe2nqU1algwTEgIPLdtGwEwkjACCIShZcukBg2kDRtsRPDTT6UiRVxX5S2MACIc7dwp/fCDNG2a9N13Nkuwvx6iyclS1arWtDklRSpfXipb1k7zKFlSKlrUbjolW3qSnW0jhxkZNlK4YYO0erWFyWXLbBRxf04/3UKozxf8/2YUDgIgEKZmzZKaNLE35Ntuk0aO5M01lAiACAd%2Bv43qffmlNGGC9d3Lzt77NcWKSaeeaiHs1FOlk0%2BWate2sBdMWVnSH39Iixfb51WrLJBWry7dd58FTkQOAiAQxj7/XLriCrs779pVGjDAdUXeQQCEKzt3ShMnSp98Yu8Bq1fv/Xz58nZz2LixdPbZUt26zBDg8BEAgTA3YoR01112/fzz0oMPuq3HKwiACKUdO2yU7/33pc8%2Bk7ZuDTxXvLjUtKktB7nwQqlWLWYDcPTYBAKEuTvvtLU3PXpIDz1k0zo33OC6KgBHKzdX%2BvZbacwYa6a8Z%2BirWNHOCG/Z0sJf0aLu6kR0IgACEaBbN2vhMGyYdOutttOuRQvXVYWv22%2B/XaNGjdrrsbPOOks//PCDo4qAgPnzrXHyW29J69YFHq9c2XqAtm4t1a9vrVmiwpo1Np%2BdlSU1amQ73OAcARCIAD6f9Nxz0saN1nD1qqtsQXijRq4rC18tWrTQyJEj//1zfP52R8CBrVvt3%2B6rr0ozZwYeL1PGQt9NN9l6vqgJfZLtYOnUydau5OYGHm/YUPrgA2syCGcIgECEiImRRo2yFg3jx1uPwEmTbOcf9pWQkKDy5cu7LgMeN3u29OKLNs27fbs9FhcnXXaZ7e6/5JJAK5aoM2iQ9Mwz%2Bz7%2B/ff2F/DTTyxmdCia7jWAqBcfbzfOjRtbEGzeXPr9d9dVhafJkyerXLlyqlmzptq2basNGza4LgkekZ1t07tnny3Vqye98oqFv1q1pKeesl29Y8dKV14ZxeFv1y7p2Wf3//zs2dI334SuHuyDXcBABMrIkJo1s8arFSrYaSHVq7uuKny8%2B%2B67KlmypI4//ngtW7ZMPXr0UG5urn7%2B%2BWcl7Hl0wR6ys7OVvUeDtczMTFWuXJldwDhka9dKL7xgI35//22PFSkiXX21dM890nnneWjAa/ZsS78H8EGNLmr560Dt558kChkjgEAESk6WvvpKqlPHfumcf760fLnrqtwYPXq0SpYs%2Be/HtGnTdN111%2BnSSy9VnTp11LJlS40fP16LFy/W559/vt%2BvM3DgQCUnJ//7Ubly5RD%2BVyCSzZ4t3XKLnbjRt6%2BFv4oVpX79pJUrpbfftr59ngl/ks1zH8SCJUV07LF2qglCjxFAIIKtX2%2BjCosW2WHtU6bY%2BZxesnXrVq1fv/7fP1esWFHFihXb53U1atTQXXfdpccee6zAr8MIIA5HXp6txX36aWny5MDjjRpZu6ZWrQ4pA0WvvDw7MHjp0v2%2BpJ5%2B0mzVk88n9e4t9ewZuvLACCAQ0Y47zk4MqF7dRgCbNi28Q%2BDDVWJioqpXr/7vR0Hh759//tHKlStV4QC7DhMSEpSUlLTXB/Bf2dl2LGOdOraPYfJkC3o33mjHN06fLl1zjcfDn2S71nr12v/zLVvquWn1VLKkbRbu1cu6GyB0CIBAhEtJsd3AJ55oN9teDIF72rZtmzp16qQZM2Zo%2BfLlmjx5slq2bKmyZcuqVatWrstDhNq6VRoyxP6dtWljm6%2BSkqzLybJl0ujR0plnuq4yzNx6q/W92WM3frbiNT7lTumdd9S4sbUIrFXLnhs7VjrrLBs8ROFjChiIEitX2jqjpUttOnjSJPvsNTt27NCVV16pOXPmaMuWLapQoYKaNm2qvn37Hta6Po6Cg2S9N59/3pqwb95sj6WkSB06SHffbetxcRA5OdJ332no4B3qO76eNvrKacMGO9VIssB36aV2FJ4knXyy9MsvUmysu5K9gAAIRJFVq2wE8I8/7FSB/OlhHD4CoLetWWMt7F54wQ6wkKSaNaVHH5VuvlnsXD0CO3bYqGlurrXAGTt27%2Bdvu0164w27rlPHQmBUNcYOM/zVAlGkUiVbk1Srlo0InnuutGCB66qAyPHXX9L999tU75AhFv5OP116/337t3TnnYS/I1WsmHTddXY9bpz0zz97Pz9qlNS2rV3/9puFbRQeAiAQZSpWtN3A%2BS1izjvP2lQA2L%2BlSy18VK9uo37Z2XZi2RdfWL/N1q2ZkgyGl16yDTJ5ebZE8L9efllq186uhwyRhg4NbX1eQgAEotBxx9lI4Jln2hqmpk3ptQUU5I8/pDvusOndV1%2B16cnzz7c1tNOnSxdf7LH%2BfYWsRAmb6pWsjU5BG9aGDZMGDLDrDh0shCP4WAMIRLHMTKllSzsppGhRm8a67DLXVUUG1gBGtyVLrFHzW28Fdp02b2696Bo1cltbtMvOtrWAu3bZKOt33%2B37Gr/fNtm8%2Bqq9dubMwG5hBAcjgEAUS0qynXWXXSbt3GkLr0eNcl0V4M6SJTYCddJJtuEgL0%2B65BLphx/sdB3CX%2BFLSJAeftiuv/9emjNn39f4fFJ6unTOOXYje9VVdp4ygocACES5YsWkjz6yo6p275Zuv10aNMjusAGv%2BPNP%2B9nPD367d1vrkZkzpc8/t/5zCJ0BA6SSJe36%2BusLfk18vPTee3be%2BYIF0oMPhq4%2BLyAAAh5QpIj0%2ButS5872565dpQcesF%2BCQDRbutQaN9eqZaPfewa/zz6T0tJcV%2BhNMTF2jJ4kLV4sffhhwa8rX14aM8ZeP3KkLWNBcLAGEPCY//1P6tjRRgBbtrSD6kuUcF1V%2BGENYGRbvlzq399ufHJz7bGLL7YzZ%2BvXd1gY9lKpkrR6tVSmjPT33/vfcNO9u30/jzlGmj9/r8NFcIQYAQQ8pkMHm1ZJSJA%2B/dTaxKxZ47oqIDhWrJDuvXfvXb3Nm0szZthuUsJfeMlv/PzPP1KfPvt/Xa9e1o9x06ZAmxgcHUYAAY/6/nvpiiusTUylShYGTzvNdVXhgxHAyLJ6ta0re/VV210qSRdcYKGiYUO3teHA6teXZs2yNX%2BbNu1/RuKXX6y1VW6u9PHH9v6FI8cIIOBRDRvazsfate0IuUaNbLMIEEnWrJHat7eTO4YPt/DXpIm1PpowgfAXCT74wKZ%2Bd%2B2Sbrxx/6879VSpUye7bt8%2BcEQfjgwBEPCwatVsauzCC%2B3N9OqrpSeeCPRFA8LVunXWSqRaNTstYtcuaxkyaZJ9nHOO6wpxqKpUCZwKMm6cNG/e/l/bvbu9fsUK6amnQlNftGIKGIByc%2B3O%2Brnn7M/5/QK9PPPJFHB4Wr9eGjzYjmvbscMea9jQpnqbNePUjkiVkyOVKmU3otWq2Qkt%2B/Pee3amcPHi9roKFUJXZzRhBBCA4uJsd/Brr9k6nI8/tnU5v//uujLAbNhgbYyqVpWeecbC31lnWfPm6dNtvR/hL3IVKSI9/7xd//mnBfz9ueYaqUEDC4v9%2BoWmvmjECCCAvfz4o00Fr15tjVpHjJCuvdZ1VaGTnp6u9PR07d69W4sXL2YE0LENG2yqb/jwwJqv%2BvWtnUuLFoS%2BaFOrlvUFLFrUNoQUK1bw66ZMsbWeRYrYKGCVKiEtMyoQAAHsY8MG684/aZL9uV07acgQax3jFUwBu7VunTUKHj48MNVbv761A7n4YoJftFq0yE5r8fttvV/fvvt/bbNm0sSJ9v40bFjoaowWTAED2Ee5ctLXX0tdutif09NtndWB1uUAwbBmjW3uqFrVbjp27LDg9/nntmv9kksIf9GsVi0b3ZVsqv%2Bvv/b/2u7d7fOIEdZEGoeHAAigQHFx0sCB9ou3TBlp9mxrxPrWW64rQzRaudKOJzzxRFuPunOnrfH74guCn9d07267uLOypPvu2/%2B55U2aSPXq2c/Kyy%2BHtMSoQAAEcECXXCLNnSude660bZt0yy3Wq2vLFteVIRr8%2BafUtq3t/ExPl7KzbbT5q6%2BsRRHTvd4TE2OBLj5eGj9eGj264Nf5fHaykSS9%2BCJnmx8uAiCAg6pUydbaPPGEFBtr5wefcoo9BhyJ%2BfOlm28OHNmWkyM1bWo/U9On2/FtBD/vql1b6tnTroWI6e8AAAmISURBVB96yNaEFqR1a5uhWLXKbhpw6AiAAA5JbKzUo4f9cq5WzabsmjWzjvzbt7uuDpHixx%2Btz2SdOjayk5dno3zTp1v4a9qU4Afz6KOB83/vvrvgqeCiRaWbbrLrN98MbX2RjgAI4LA0aGBTwvfcY38eOtSOaJoyxW1dCF9%2Bv43ONG1qPz%2BffGIh7%2BqrpZ9/tnV%2BjRq5rhLhpkgRa0gfH29nlb/2WsGvyw%2BA48YFdozj4AiAAA5byZK25uarr6TKlW0dV5MmFgpZG4h8OTk2ynf66dazb/Jk21x0%2B%2B3SggV2BuwZZ7iuEuGsbt1AK5iHHrIegf%2BVlmZ9ALOypG%2B%2BCW19kYwACOCINW8u/fqrTc9ItnA7NdWOaqLDqHdt3So9%2B6wtFbj5ZumXX6QSJay9y9Kl0siRtsYLOBSPPGI3mNu3W3/SnTv3ft7nky691K6//jrk5UUsAiCAo5KcLL30kjWNrllTWrvWzuls0aLgu3VErxUr7EzpSpWkjh1tnWi5cjaCs2KF9XWrXNl1lYg0sbHWfqpMGWnOHBsJ/K/zz7fPU6eGtrZIxkkgAIJm505p0CDrH7hrl63h6dhR6tZNSkx0Xd3h4SSQQ%2BP3W7uW//1P%2BuijQCuO2rXte3/LLbZQHzhaX31lG4b8frvpzJ95kGwXcOXKFha3beNn7lAwAgggaIoWtS7%2Bv/1mb9Q5OdKTT9rI4IgR9OmKJjt32gL9tDTbwPH%2B%2B/b9Pf986bPPrM1L27b8IkbwXHSR1K%2BfXbdrt3fbl4oVpaQk%2BxlctsxNfZGGAAgg6GrUsBNExo2Tqle3Hl533WWbAcaPZ31gJFu%2BXOra1UZbbr/ddvEmJEh33GFr/b791tZjxfDbBYWga1fb9ZubK111VWDK1%2BeTjjvOrjdudFdfJOGfKIBC4fNJLVvaSNCQIVKpUrZh5JJLbJTo%2B%2B9dV4hDtXu3jepddpkd1TZokP2SrVxZGjDA1vq99po1BwcKk89nP2sXXWS7fi%2B6SHr3XXsuJ8c%2Bx8a6qy%2BSsAYQQEhs2iT17x847kuyjSK9e9uZr%2BGGNYC2ceO112z6ftWqwOMXXCDdf78F/Lg4d/XBu3bskK65xmYaJOnss20tqs8nbdgglS3rtr5IQAAEEFIrV9qRciNHBtYENm9uG0XOOSd8ToHwagDcscMaNY8cKU2YEJiuL1NGuu026/VYs6bbGgHJpoF797Z1xrm59tidd9rRgjg4AiAAJ/780xZ0v/lmIAg2aCB17ixdcYX7aRwvBUC/36bk33jDptMyMgLPNW1qmzlatWJDB8LT8uW2IaR0aTtdxvV7R6QgAAJwatkyafBgG3HKnxo%2B8UTpgQdsY0GpUm7q8kIAnD9fevttacyYvXdOVqlio323327fCwDRhwAIICysW2fnCr/4oq0XlKTixaUbb5TuvVeqVy%2B09URrAFy40Fq2vPeetevJV7KkjZ7cequdusAuXiC6EQABhJWsLJsWHjrURqjynXaajQjeeGPhLvBOT09Xenq6du/ercWLF0d8APT7pdmzpY8/tkbNCxYEnitSxDbi3HSTbegoXtxdnQBCiwAIICz5/dK0adbx/4MP7GQRyXadtmgh3XCDhZbCOmEkkkcAs7KkiRNth%2BSnn0qrVweeK1LEdvFec42t63M1xQ7ALQIggLC3aZM0erSdPPHzz4HHixa1MHjlldajrkyZ4P1/RlIAzMuzHovffGOL4adODaynlGxkr0ULC3yXXUboA0AABBBhfv/dNi28%2B660ZEng8ZgY6wV28cXWVuaMM45uN2A4B8C8PFu/N3WqNGWKNHnyvqcfVKliJ3Jcdpk13mYHL4A9EQABRCS/X5o3z9a1ffKJHUO2p1KlpPPOk849V2rc2NYQxscf%2BtcPpwC4YYP000/SzJnSDz/Yx56tWiSpRAn7b23e3E5HqF07fHoqAgg/BEAAUWHFCjtn%2BMsvbf1bZubezxctamcRn3mmfT71VOmkk6RixQr%2Bei4CYHa2jWrOn29TuvPmSXPm7H0KR76SJa1vYpMm9pGWdngBF4C3EQABRJ3cXNv5OnmybST5/vtAa5k9xcRIVatKtWpJNWpYz7sTTrAzbhMTM1WjRnAD4M6d0tq10po1FupWrLD%2Be0uXWvBbvtymd//L57PTN%2BrXt2Pzzj7bzt3lGDYAR4oACCDq%2Bf0WsGbNsk0kc%2BbY6FpBoTAgU1KyypbNUNmySSpTRkpOtqnW4sVtRLFIEQuRPp8Ft9xcG8XbuVPavt1GITMypM2bbY3e1q0HrzUpSUpNlerUsZB32mk2WhlmyxABRDgCIABP8vul9ettU8nixdIff9ho3PLlNjq3fr0FQClDUvDSV0KCVKGCVKmSbdQ44QQbeaxe3Ub5ypdn7R6AwkcABIAC/PNPpsqWTda0aRnatStJmzfbiN62bdKOHTbKl5MTOMc4JsamZOPjbXSwRAnrUZicbGeUli0rlStnfybgAXCNFSQAUIAiRezzKacw/Qog%2BnDaIwAAgMcQAAEAADyGAAgAAOAxBEAAAACPIQACAAB4DAEQAADAYwiAAAAAHkMABAAA8BgCIAAAgMcQAAFgD%2Bnp6UpNTVVaWprrUgCg0HAWMAAUIDMzU8nJycrIyFASZ8EBiDKMAAIAAHgMARAAAMBjCIAAAAAeQwAEAADwGAIgAACAxxAAAQAAPIYACAAA4DEEQAAAAI8hAAIAAHgMARAAAMBjCIAAAAAeQwAEAADwGAIgAACAxxAAAQAAPIYACAAA4DEEQAAAAI8hAAIAAHgMARD/174d20gIRFEQHAKAzWN9QiVQIIA594wzd8VJXRXBM1t/NABAjAAE%2BOU4jvF%2Bv8e%2B709PAfiaZc45nx4B8N9c1zVer9c4z3Ns2/b0HICPcgEEAIgRgAAAMQIQACBGAAIAxPgEAvCHOee473us6zqWZXl6DsBHCUAAgBhPwAAAMQIQACBGAAIAxAhAAIAYAQgAECMAAQBiBCAAQIwABACIEYAAADECEAAgRgACAMQIQACAGAEIABAjAAEAYgQgAECMAAQAiBGAAAAxAhAAIEYAAgDECEAAgBgBCAAQIwABAGIEIABAjAAEAIgRgAAAMQIQACBGAAIAxAhAAIAYAQgAECMAAQBiBCAAQIwABACIEYAAADECEAAgRgACAMQIQACAGAEIABAjAAEAYgQgAECMAAQAiBGAAAAxAhAAIEYAAgDECEAAgBgBCAAQIwABAGIEIABAjAAEAIgRgAAAMQIQACDmB5bv6RBW8JpfAAAAAElFTkSuQmCC'}