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g2c_curves • Show schema
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{'Lhash': '315995603033814010', 'abs_disc': 294, '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,[1,2,3,2]],[3,[1,1,1,-3]],[7,[1,0,-1]]]', 'bad_primes': [2, 3, 7], 'class': '294.a', 'cond': 294, 'disc_sign': -1, 'end_alg': 'Q x Q', 'eqn': '[[0,0,1,0,1],[1,0,0,1]]', 'g2_inv': "['714924299/294','12733498/147','327214/49']", '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': "['236','505','18451','37632']", 'igusa_inv': "['59','124','564','4475','294']", 'is_gl2_type': True, 'is_simple_base': False, 'is_simple_geom': False, 'label': '294.a.294.1', 'leading_coeff': {'__RealLiteral__': 0, 'data': '0.1489689799540566411026646628887640297214854916698568385', 'prec': 190}, 'locally_solvable': True, 'modell_images': ['2.45.1', '3.720.4'], 'mw_rank': 0, 'mw_rank_proved': True, 'non_solvable_places': [], 'num_rat_pts': 4, 'num_rat_wpts': 0, 'real_geom_end_alg': 'R x R', 'real_period': {'__RealLiteral__': 0, 'data': '21.451533113384156318783711456', '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': 1, 'torsion_order': 12, 'torsion_subgroup': '[12]', 'two_selmer_rank': 1, 'two_torsion_field': ['8.0.12446784.1', [1, 1, 1, 2, 0, -2, 1, -1, 1], [8, 9], False]}
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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': '294.a.294.1', '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': [[[25], [-253]], [[-47], [71]]], 'spl_facs_condnorms': [14, 21], 'spl_facs_labels': ['14.a5', '21.a6'], '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': '294.a.294.1', 'mw_gens': [[[[1, 1], [0, 1], [0, 1]], [[0, 1], [0, 1], [0, 1], [-1, 1]]]], 'mw_gens_v': True, 'mw_heights': [], 'mw_invs': [12], 'num_rat_pts': 4, 'rat_pts': [[0, -1, 1], [0, 0, 1], [1, -1, 0], [1, 0, 0]], 'rat_pts_v': True}
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g2c_galrep • Show schema
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id: 12
{'conductor': 294, 'lmfdb_label': '294.a.294.1', 'modell_image': '2.45.1', 'prime': 2}
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id: 13
{'conductor': 294, 'lmfdb_label': '294.a.294.1', 'modell_image': '3.720.4', 'prime': 3}
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g2c_tamagawa • Show schema
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id: 63084
{'label': '294.a.294.1', 'p': 2, 'tamagawa_number': 1}
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id: 63085
{'cluster_label': 'c4c2_1~2_0', 'label': '294.a.294.1', 'p': 3, 'tamagawa_number': 1}
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id: 63086
{'cluster_label': 'c2c2_1~2c2_1~2_0', 'label': '294.a.294.1', 'p': 7, 'tamagawa_number': 1}
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g2c_plots • Show schema
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{'label': '294.a.294.1', 'plot': 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6VHH5WmTAksDdCli3TnnfZpkk%2BSCDcEQNRk/p6%2B116zkZrSoS8uzrYDvfxy%2B6Bet657deJIBEBEpO3bpb/9TfrnP6X9%2B%2B1YSoo0bpx0/fVSYqK79QHp6elKT09XUVGR1q5dSwBEjeGf0/f669Y2bgw8FhdnYe/SSy381a/vXp04OgIgItrevdKzz0p//7v0ww92LD7eQuCtt9pSAoCb6AFETVBcLC1aZBfmzZolbd0aeMzf03fppRb%2BCH2RgQCIGuHwYdsq6C9/kVavtmO1atmVw%2BPG2XxB5gnCDQRARKqCAlunb9YsW5y59JIt9etb6LvkEpvTx1ZskYcAiBrFcaT337fh4XnzAse7d5d%2B%2B1tbX4rJx6hOBEBEkkOH7Hfn7NnSnDllF2dOTLQLOS65RDr3XH6XRjoCIGqslSttaHjq1MB%2Bw40aSWPHSjfdxPAwqgcBEOFu3z7p7betl%2B/998tuw9akiXTBBbZW3znnSHXquFcngosAiBpv927phRekp5%2BWtmyxYz6fzVW56SZbV5DFRxEqBECEo23brIfvzTelTz6RCgsDj6Wk2PSZiy6y6TP8fqyZCIDwjMJC%2B5Sbni59%2BGHgeGqqXTRy3XVS8%2Bbu1YeaiQCIcOA4trD%2Bf/5jbcmSso%2BnpVnoGznSdltiznTNRwCEJ61da1cPT54cmOMSFWWTmq%2B/3iY1R0e7WiJqCAIg3JKfLy1caD19c%2BaU3Y3D55POOMN25LjwQunkk10rEy4hAMLTDh2ydayee0767LPA8WbNpDFjpF/%2BUurQwb36EPkIgKhOu3dL770nvfWWzefLyQk8FhcnDRlic/rOO09KSnKvTriPAAj8z%2BrVNlfw3/%2BWdu0KHO/XT7r2Wumyy1hgGpVHAEQoOY5tlfn229YWLQpslylJTZta2BsxwvbdZTcO%2BBEAgZ/Iz7fhkpdesk/Q/l%2BmsbH2yfnqq6WhQ9l2DseHAIhgO3jQLtx4913pnXekzZvLPn7aaRb6zj9f6tPH1kQFfooACBzFjh22jMyUKfYp269JE9vf8qqrpL59mTCNihEAEQzff2%2BB7733LPz5l7aS7MPpWWdZ6Bs%2B3C5sA46FAAgcB/%2BG5y%2B/LE2fLmVlBR5r21YaNcpa586EQRj2AsaJOHhQ%2BvRTG4V47z1p/fqyj7dqZRernXeedPbZDO2i8giAQCUVFNgyMtOm2RpapRdN7dTJ5gpedpktqwDQA4jj4TjSt99Kc%2Bda6Fu4UMrLCzweHW1r8g0bZmuYnnoqHzZxYgiAwAk4cMAmXk%2Bfbp/S8/MDj6Wl2ZZJF11kc3L4Ze1NBEBUJCvLPkx%2B8IFtv7ZjR9nHW7Wyhep//nPbhYO3D4KJAAgESXa2LbA6c6b9Qi8oCDzWrp0FwZEjbc4gk7K9gwAIv4MHrWfvww%2BtZWSUfTwuTho0yPbZPfdcqWNHPjgidAiAQAjs22frcL3%2Bug3plB7KSUqyJRlGjLBP9XFx7tWJ0CMAeldBgfT119JHH1n74ouyowSS1LWrLc9y7rk2xBsb606t8B4CIBBi%2B/fb8PAbb9iSDeUtzHreeTavp2VL9%2BpEaBAAvaOoyHr1Pv7YrtRduNB%2B/ktLSbGf%2BSFD7AMgizHDLQRAoBrl59uVff6tmbZuLft4164WBH/%2Bc9umibUGIx8BsObyB7758%2B3nesECmwpSWsOGtkTLOedYO/lkhnURHgiAgEscR1q%2B3IaK33lHWrzYjvklJNgfjHPPtYWn27Rxr1ZUHQGw5sjPl5YssaC3YIFtH1m6R1%2Byn9szz7TQd/bZdgEYc34RjgiAQJj48UebL/jee3a7e3fZx9u1CwwdnXWW1KiRO3WicgiAkSs31%2BbtffaZDecuXmz7h5eWkCANHCgNHmwXcHTvbku2AOGOAAiEoaIi62n44AMLg19%2BKRUWBh73%2BWy4%2BKyzrJ15JvsUhysCYGRwHNtSbdEia59/bj30pffVleyD18CB9jM3aJD9HEZFuVMzcCIIgEAEyM21OUb%2B5SNKb0sn2RBTt272B%2BnMM%2B1qwsaNXSkVP0EADE8HD9qHrC%2B/tF6%2BL76QMjOPfF7r1vbzNGCABb9OnZjDh5qBAAhEoMxMu8rw00/tdt26I5/TqZPUv3%2BgtW/PHy43EADdV1QkrV4tffWVLcuyeLH17hUVlX1edLQN4fbrZ23AAKl5c3dqBkKNAAjUADt22JWI/snpP%2B0hlKxH8PTT7erivn2l3r3ZWSCU2AvYHcXFtm/uf/8baEuXlt2y0a9Zs8DPwxlnSL16sS4nvIMACNRAu3YF5jF99pkNdZVejFqy3sBOnaQ%2BfewPX%2B/edsUiC9EGFz2AoVNQIH33nbRsmbWlS%2B02N/fI59arJ/XsaWGvTx%2B7bdmSXnF4FwEQ8IC8PFuvzD/XafFim/D%2BU9HRtsl8jx7Wune3Se7161d/zTUFATA49uyxYdvly6VvvrG2cuWRH2wk%2BxDTtWvgg02vXratGhdrAAEEQMCjfvghMCfq669tqGzXrvKf2769/UHt2tV6Cbt0scnxrG92bATAyjlwwObrrVwpffut3a5YIW3fXv7z4%2BPtAqju3QMfXDp1YikW4FgIgAAk2TIYW7facLF/KG3ZMptfWJ569aS0NOsx9N926iSlphIMSyMAlm/3bhu%2B/e47C3yrV9vc1U2bKn5N69b2AcT/YaRbN1sgnfcbUHkEQABH9eOPNnz8zTc2/LZihf2xLm/oTbJJ9B06SKecYq1DB2snnyyddFL11h4OvBwAc3Ol77%2B3q9T9be1aac2aIxc6L61JE6lzZ/tQ0bmz9Th37sxFS0AwEQABVFphoV1p6R%2BmW7XK2tq1tl1WRRo2tOHkdu2stWkTaC1b1sxhu5ocAAsLpW3brNdu40ZrGzZY6NuwQcrKOvrrU1Jsbl6nTnablmatSZNqKR/wNAIggKApLLQQ8N131suzZk2g12fnzqO/NirKQmBqqtSqlbWUFGstW0otWtguDBFz1eb770t/%2BYtyFi5UYl6eskePVsK991p3aAQoKrIAt327tW3bbIrA1q3Sli3Wtm8/ci29n2rUyHp//c3fO3zyyTaNAIA7CIAAqsWBA9Zr%2BP33drthQ6DHaPNmW9LjWOrUsYV5mzULtKSkQGva1HqPmjSx4ULXwmJ6unTLLZKkHEmJkrIlJSQm2srd3bu7UlZxsV1N%2B%2BOP1rKy7GIgf9u5M9AyM48d7iT7f9KqlfXitm0buPX38rJFIRCeCIAAXFdcbKFj06ZA75K/p2nbNms//li5r1m7tvU%2BNWpkQ88NG9ocRH9LTAy0%2BHgLjPXrB1q9evY1Kh0id%2B2yLsv/TZIsEwAl215i4cJKflG7SOfwYQvS%2B/dby821lpMjZWdL%2B/YFbvfutbZnj7Xdu%2B32p3vbHk2tWhasW7YMtJSUQA9t69b2OBdhAJGHAHgCHMdRbnkrjgIIurw866XKzAz0UGVlBZq/V2vXLtvnNRhq1bKLWuLibG252FgpJsZa7drW%2B1W7tg1f%2B2%2BHbnxG16y8u%2BRr5EhKkbRV/wuAku4cslQ7YtupqMh6PgsL7TY/327z8qwdPiwdOmTt8OHgfE%2BShd5GjWx3mKZNAy0pSUpOtttmzexYTZyXCfjFx8fLFzHzSoKLAHgC/JO7AQBA5KmJF2cdLwLgCaioBzAnJ0cpKSnaunVrld9YvXv31tdff31C9Z3o1ziR14fDOXD7HHIOIvcc5OfbUKu/923kyFH6179mlPTM5efbbeneu8JCmzPX%2BsuXNeS1W0q%2B1k97AIt9tfTKvd8pr0GSoqKsh612bbutU8d6F/23MTHW%2B3jFFRdo7tz/KC7OhqYru6MF7wPOQTi8PhzPgZd7AOncPwE%2Bn%2B%2Bob%2BKEhIQqv8mjoqJO%2BFPJiX6NYNTg5jkIh3MocQ6kyDwHjRsH/rtu3U06%2B%2Bzj/BqHrpM%2Bvu%2BIhe4S/td00Uj95oGTK1VLbOwPOvlk3gf8LLh7DoLx/UuRfQ5qEqbuhqmbb77Z9a8RjBrc/PfD4Ry6/e9zDlw4B3Fx0quvlr/GSceOdoVwKP/9ELw%2BWF/DzX%2Bfc%2BD%2B64OhJnwP4YIh4BCoyQu/Hi/OAedA8vg52LxZeuYZ7fnoIzX673%2BV%2BfDDSho3zpOL33n6ffA/nAPOQbiJuv/%2B%2B%2B93u4iaKCoqSoMHD1a0hy%2Bh4xxwDiQPn4MGDaQhQ7R/5Eg9/vjj%2BsOMGarXoIHbVbnGs%2B%2BDUjgHnINwQg8gAIQQvR4AwhFzAAEAADyGAAgAAOAxBEAAAACPIQACAAB4DAGwihzH0f3336/mzZsrLi5OgwcP1rfffnvU1xQWFupPf/qT2rRpo7i4OLVt21YPPvigiiuzO3sYqco5kKTt27dr9OjRatSokerWratu3bppyZIl1VBx8FX1HPhNmDBBPp9Pt912WwirDK2qnIMJEyaod%2B/eio%2BPV9OmTXXhhRdqzZo11VQxQuHpp59WmzZtFBsbq549e2rhwoUVPvf555/XwIEDddJJJ%2Bmkk07SkCFD9NVXX1VjtaFRmXNQ2owZM%2BTz%2BXThhReGuMLQq%2Bw52Ldvn26%2B%2BWY1a9ZMsbGx6tSpk959991qqtbjHFTJxIkTnfj4eGfWrFnOihUrnMsvv9xp1qyZk5OTU%2BFrHnroIadRo0bO22%2B/7WzcuNF57bXXnPr16ztPPvlkNVYePFU5B3v27HFSU1Oda6%2B91lm8eLGzceNG58MPP3TWr19fjZUHT1XOgd9XX33ltG7d2jnttNOccePGVUO1oVGVc3Duuec6L730krNy5UonIyPDGT58uNOqVStn//791Vh5aE2aNMnp1KmT06FDB0eSk52d7XZJITNjxgyndu3azvPPP%2B%2BsWrXKGTdunFOvXj1n8%2BbN5T7/yiuvdNLT051ly5Y5q1evdn75y186iYmJzrZt26q58uCp7Dnw27Rpk9OiRQtn4MCBzgUXXFBN1YZGZc9BXl6e06tXL%2BcXv/iF89lnnzmbNm1yFi5c6GRkZFRz5d5EAKyC4uJiJzk52Zk4cWLJscOHDzuJiYnOs88%2BW%2BHrhg8f7lx33XVljl100UXO6NGjQ1ZrqFT1HNx1113OgAEDqqPEkKvqOXAcx8nNzXVOPvlkZ968ec6gQYMiNgCeyDkoLSsry5HkzJ8/PxRluio7O7vGB8A%2Bffo4N954Y5ljHTt2dO6%2B%2B%2B7jen1hYaETHx/vTJkyJRTlVYuqnIPCwkKnf//%2BzgsvvOCMGTMm4gNgZc/BM88847Rt29bJz8%2BvjvLwEwwBV8HGjRuVmZmpoUOHlhyLiYnRoEGDtGjRogpfN2DAAH300Udau3atJOmbb77RZ599pl/84hchrznYqnoO5syZo169eunSSy9V06ZN1b17dz3//PPVUXLQVfUcSLYd0fDhwzVkyJBQlxlSJ3IOSsvOzpYkNWzYMOg1IrTy8/O1ZMmSMu8BSRo6dOhxvwcOHjyogoKCiP3/X9Vz8OCDD6pJkyYaO3ZsqEsMuaqcgzlz5uiMM87QzTffrKSkJHXu3FmPPPKIioqKqqNkz2Mp7irIzMyUJCUlJZU5npSUpM2bN1f4urvuukvZ2dnq2LGjoqKiVFRUpIcfflhXXHFFSOsNhaqegw0bNuiZZ57R7bffrj/%2B8Y/66quvdOuttyomJkbXXHNNSGsOtqqegxkzZmjp0qX6%2BuuvQ1pfdajqOSjNcRzdfvvtGjBggDp37hz0GhFau3btUlFRUbnvAf/741juvvtutWjRImI/EFXlHHz%2B%2Bed68cUXlZGRUR0lhlxVzsGGDRv08ccf66qrrtK7776rdevW6eabb1ZhYaH%2B7//%2BrzrK9jR6AI/DtGnTVL9%2B/ZJWUFAgSfL5fGWe5zjOEcdKe/XVVzV16lS98sorWrp0qaZMmaInnnhCU6ZMCWn9wRCsc1BcXKwePXrokUceUffu3fXrX/9av/rVr/TMM8%2BEtP5gCMY52Lp1q8aNG6epU6cqNjY25DUHW7DeB6XdcsstWr58uaZPnx70elF9qvoeeOyxxzR9%2BnTNnj07In8mSjvec5Cbm6vRo0fr%2BeefV%2BPGjaurvGpRmfdBcXGxmjZtqueee049e/bUqFGjdM8990TE34OagB7A4zBixAj17du35H5eXp4k6/1o1qxZyfGsrKwjPv2Uduedd%2Bruu%2B/WqFGjJEldunTR5s2bNWHCBI0ZMyZE1QdHsM5Bs2bNlJaWVuZYp06dNGvWrCBXHHzBOAdLlixRVlaWevbsWXKsqKhICxYs0KRJk5SXl6eoqKgQfQcnLljvA7/f/va3mjNnjhYaw7hxAAAfP0lEQVQsWKCWLVsGv2CEXOPGjRUVFXVEL8/xvAeeeOIJPfLII/rwww912mmnhbLMkKrsOfj%2B%2B%2B%2B1adMmnX/%2B%2BSXH/KtBREdHa82aNWrXrl1oiw6yqrwPmjVrptq1a5f5ndepUydlZmYqPz9fderUCWnNXkcP4HGIj49X%2B/btS1paWpqSk5M1b968kufk5%2Bdr/vz56tevX4Vf5%2BDBg6pVq%2Bwpj4qKiohlYIJ1Dvr373/Ech9r165VampqyGoPlmCcg3POOUcrVqxQRkZGSevVq5euuuoqZWRkhHX4k4L3PnAcR7fccotmz56tjz/%2BWG3atKmO8hECderUUc%2BePcu8ByRp3rx5R30PPP744/rzn/%2Bs999/X7169Qp1mSFV2XPQsWPHI34PjBgxQmeddZYyMjKUkpJSXaUHTVXeB/3799f69evL/A1cu3atmjVrRvirDq5dfhLhJk6c6CQmJjqzZ892VqxY4VxxxRVHLH1x9tlnO0899VTJ/TFjxjgtWrQoWQZm9uzZTuPGjZ0//OEPbnwLJ6wq5%2BCrr75yoqOjnYcffthZt26dM23aNKdu3brO1KlT3fgWTlhVzsFPRfJVwI5TtXNw0003OYmJic6nn37q7Ny5s6QdPHjQjW8hpLxwFbB/%2BY8XX3zRWbVqlXPbbbc59erVczZt2uQ4juNcffXVZa4EffTRR506deo4r7/%2Bepn//7m5uW59Cyessufgp2rCVcCVPQdbtmxx6tev79xyyy3OmjVrnLfffttp2rSp89BDD7n1LXgKAbCKiouLnfvuu89JTk52YmJinDPPPNNZsWJFmeekpqY69913X8n9nJwcZ9y4cU6rVq2c2NhYp23bts4999zj5OXlVXP1wVGVc%2BA4jvPWW285nTt3dmJiYpyOHTs6zz33XDVWHVxVPQelRXoArMo5kFRue%2Bmll6q3%2BGrghQDoOI6Tnp7upKamOnXq1HF69OhRZkmfQYMGOWPGjCm5n5qaWu7//6P9nESCypyDn6oJAdBxKn8OFi1a5PTt29eJiYlx2rZt6zz88MNOYWFhNVftTT7HcRxXuh4BwANycnKUmJio7OxsJSQkuF0OAEhiDiAAAIDnEAABAAA8hgAIACGQnp6utLQ09e7d2%2B1SAOAIzAEEgBBiDiCAcEQPIAAAgMcQAAEAADyGAAgAAOAxBEAAAACPIQACAAB4DAEQAADAYwiAAAAAHkMABAAA8BgCIAAAgMcQAAEAADyGAAgAIcBewADCGXsBA0AIsRcwgHBEDyAAAIDHEAABAAA8hgAIAADgMQRAAAAAjyEAAgAAeAwBEAAAwGMIgAAAAB5DAAQAAPAYAiAAAIDHEAABAAA8hgAIACHAXsAAwhl7AQNACLEXMIBwRA8gAACAxxAAAQAAPIYACAAA4DEEQAAAAI8hAAIAAHgMARCAJziOo/vvv1/NmzdXXFycBg8erG%2B//faor7n//vvl8/nKtOTk5GqqGABChwAIwBMee%2Bwx/fWvf9WkSZP09ddfKzk5WT/72c%2BUm5t71Nedeuqp2rlzZ0lbsWJFNVUMAKFDAARQ4zmOoyeffFL33HOPLrroInXu3FlTpkzRwYMH9corrxz1tdHR0UpOTi5pTZo0qaaqASB0CIAAaryNGzcqMzNTQ4cOLTkWExOjQYMGadGiRUd97bp169S8eXO1adNGo0aN0oYNG0JdLgCEHAEQQI2XmZkpSUpKSipzPCkpqeSx8vTt21f//ve/NXfuXD3//PPKzMxUv379tHv37gpfk5eXp5ycnDINAMINARBAjTNt2jTVr1%2B/pBUUFEiSfD5fmec5jnPEsdKGDRumiy%2B%2BWF26dNGQIUP0zjvvSJKmTJlS4WsmTJigxMTEkpaSkhKE7wgAgosACKDGGTFihDIyMkpa48aNJemI3r6srKwjegWPpl69eurSpYvWrVtX4XPGjx%2Bv7OzskrZ169aqfRMAEELRbhcAAMEWHx%2Bv%2BPj4kvuO4yg5OVnz5s1T9%2B7dJUn5%2BfmaP3%2B%2BHn300eP%2Bunl5eVq9erUGDhxY4XNiYmIUExNT9eIBoBrQAwigxvP5fLrtttv0yCOP6I033tDKlSt17bXXqm7durryyitLnnfOOedo0qRJJffvuOMOzZ8/Xxs3btTixYt1ySWXKCcnR2PGjHHj2wCAoKEHEIAn/OEPf9ChQ4f0m9/8Rnv37lXfvn31wQcflOkp/P7777Vr166S%2B9u2bdMVV1yhXbt2qUmTJjr99NP15ZdfKjU11Y1vAQCCxuc4juN2EQBQU%2BXk5CgxMVHZ2dlKSEhwuxwAkMQQMAAAgOcQAAEAADyGAAgAAOAxBEAAAACPIQACAAB4DAEQAADAYwiAABAC6enpSktLU%2B/evd0uBQCOwDqAABBCrAMIIBzRAwgAAOAxBEAAAACPIQACAAB4DAEQAADAYwiAAAAAHkMABAAA8BgCIAAAgMcQAAEAADyGAAgAAOAxBEAAAACPIQACQAiwFzCAcMZewAAQQuwFDCAc0QMIAADgMQRAAAAAjyEAAgAAeAwBEAAAwGMIgAAAAB5DAAQAAPAYAiAAAIDHEAABAAA8hgAIAADgMQRAAAAAjyEAAkAIsBcwgHDGXsAAEELsBQwgHNEDCAAA4DEEQAAAAI8hAAIAAHgMARAAAMBjCIAAAAAeQwAEAADwGAIgAACAxxAAAQAAPIYACAAA4DEEQAAIAbaCAxDO2AoOAEKIreAAhCN6AAEAADyGAAgAAOAxBEAAAACPIQACAAB4DAEQAADAYwiAABBKu3a5XQEAHIEACAAVmD17ts4991w1btxYPp9PGRkZx//i55%2BXOnaU2rWz%2BxdcIC1aFJpCAaCSCIAAUIEDBw6of//%2BmjhxYuVe%2BKc/STfcIK1ZEzj26afSWWdJH38c1BoBoCpYCBoAjmHTpk1q06aNli1bpm7duh39yVu3Sm3aSEVFkqQcSYmSsiUlSFK3btKyZaEtGACOIdrtAgCgujmOdPCglJtrbf9%2BawcOWDt40G4PHbKWmdlA0qN69NEWSkiQ8vMDrbBQKiiw26Ii6aINM3TT/8JfuTIydN3pq7QtIU3R0VJ0tFS7tlSnjrWYGGuxsdbq1g20%2BvWtxcdbS0iw1qCBvQYAjhcBEEBEKiqS9u61ayz27JF277bbvXut7dkj7dsXaNnZgZabKxUXV%2BZfayDpD5ox49jPHKTsYz7nu8X79EVl/vnjEBsrnXSS1LChtUaNpMaNrTVtGmhJSVJysh2vxSQgwLMIgADCguNYcPvhBykzU8rKsv/OypJ%2B/PHItnevveZE%2BHyBXjXHyVFW1kZJB%2BTzHVS/ft2UktJYsbFSfn6Opk59TmPHjlarVsklPXW1a1vz9%2BRFR0stvuwsTar43yysHavbJ3XU4brWa%2BjvQfT3KOblWTt82HofDx4MtAMHAj2WOTnWcnPt6x4%2BLO3cae14REdbEGzRwlrLllJKirXUVGtJSYREoKZiDiCAkCoqssC2Y0eg7dwZuM3MtPbDDxaAKisx0Xq7/D1fDRtaT5i/NWhgz/Hf%2BodNExJsWNUfcHJzc/XDDz%2BUfN0WLVooLi5OUiXnABYW2pW/W7ZIKmcO4HXXSS%2B%2BWPlvtAJFRRYC9%2B2zXk9/273bekd37bIQ7W%2BZmce/Mk1MjNS6tU1pbNfO2sknS%2B3bS23b2pA1gMhEDyCAKisokLZvl7ZtK79t324h72hT4n6qQQPreUpKKjt02bSpDVs2aRIY2mzUyHrggiE%2BPl7x8fEn/oWio6X//Ef6%2Bc8t1ZY2YID05JMn/m%2BUEhVl56xBAwtrx6OgwErbvt2CeOn/Z5s3W3bdvt16ItesKXsxs1%2BtWhYCTznFVrvp1ElKS5NOPdXCNYDwRg8ggHL5h2Q3bw6EgtJt61YLd8fzG6RWLQtwzZsHWrNm1pKTy7Zwuphhz5492rJli3bs2KHhw4drxowZOuWUU5ScnKzk5OSjvzg3V3r5ZeV88okSX39d2TNnKuHiiyNmTLWgwP4fb9wobdhgbf16a%2BvW2XB0RVJSpC5drJ12ml343KGDZWMA4YEACHiU49gw4caN0qZNgbZ5sx3bssXmmh1LnTo2f%2BynzT%2BvrHlzC3aR%2BMd/8uTJ%2BuUvf3nE8fvuu0/333//cX2NnJwcJSYmKjs7Wwk1pGvMcSz8r1kjffedtVWrrO3YUf5rYmMtEPboIfXqJfXsKXXuHLweXACVQwAEarADB8r24GzcWLYdrRfHr2lTqVUruyigVatA818w0LRpxHRquaImBsCj2btXWrnS2vLl0jff2G1577WYGKl7d6lvX2unn27D2D5ftZcNeA4BEIhgjmNzub7/vmzzB76fTkErT7NmNsm/dWtrqamB21atpP9dB4Eq8loALE9xsQ0dL1smLV0qLVlibd%2B%2BI5%2BblCT162dtwADrMeRiEyD4CIBAmCsutsn5/vlXpduGDcfuxWvQwCbrt21rQa90S021oTmEDgGwfI5j7%2BGvvrL25ZcWEAsKyj4vLs56BgcNkgYPtp5C3rPAiSMAAmGguNjmTq1daxPs/W39euvRy8ur%2BLW1atlQrH%2BZjnbtAoGvbVtbCgXuIQAev0OHrGdw0SLp88%2Bt7d5d9jmxsdY7eM451nr2jMz5pYDbCIBANXEcW39t7dpA0PP/9/r19sevItHRFubat7eA1759oLVuzRBZOCMAVl1xsbR6tbRggbVPP7V1DEtLTJTOPlsaOlQ691zr2QZwbARAIMgOHQqEO/8aav6gt3dvxa%2BLjrY/XiefXLa1b29z8ejliEwEwOBxHPt5%2Bvhj6cMPpU8%2BOXIe4Smn2BKMw4dLZ54ZXssKAeGEAAhUgX8ZjO%2B%2BCyyF4Q97mzcffW28lBRbE%2B2nLTWVJTFqkvT0dKWnp6uoqEhr164lAIZAUZENGX/wgTR3rvTFF2UXHa9Xz3oGzz9fOu88W0QcgCEAAkeRn2/Ds/61zko3/x6s5WnQwHoiTjnFwp3/9uSTuarWa%2BgBrD7Z2dYz%2BO671koPF/t8NnfwwgulkSNtKgXgZQRAQBbmVq8u2777zi7AqGgbs59uhVX6tkkT1jKDIQC6o7jYrip%2B6y1pzhz779JOO026%2BGLpkktsCzvAawiA8JRdu2y3gtWrAzsXrF5t%2B55WpH79wF6nHTsGWrt2zC/CsREAw8PWrbZF8xtvSPPnl/1gl5YmXXaZdPnl9rMNeAEBEDWOf3Hkb78NhDx/27Wr4tclJ9sv/7S0QODr1Mm2MqM3D1VFAAw/u3dbr%2BCsWTZ/sPTag127SldcYa1VK/dqBEKNAIiI5Tg2x2fVKgt7/rZq1dGvtm3dOhDu0tIC/816eQgFAmB427fPegZnzrQwWFgYeGzgQOnqq22YmN8PqGkIgIgIWVkW7lauLBv2Kgp6/vl5aWnSqacGgl7HjnZlIFBdCICRY/du6xWcPt2Gif1/HWNipBEjpDFjbK1BlmRCTUAARFjZty8Q9Eq3ioZua9WyuXinnhoIemlpdiEGV9siHBAAI9PWrRYEX37Zfgf5JSdbr%2BDYsfZ7BohUBEC44uBBu/jCH/BWrLDbii7G8PmsR88f9PytY0f2BUV4IwBGNseRMjKkKVOkadPKfhjt31/61a%2BkSy%2BV6tZ1r0agKgiACKmiIltKZfnyQMhbscKOFReX/5qUFAt3nTtb8/fs8QsWkYgAWHPk59v6gv/6l936ryROTLRewV//2n5nAZGAAIig%2BeEHC3f%2BsLdihQ3nHj5c/vMbNZK6dAkEvS5dLOwlJlZv3UAoEQBrph07pMmTpRdekDZuDBwfMED6zW%2Bkiy5imSiENwIgKu3wYbvS1h/0li%2B3lpVV/vPj4sqGPP9tUhLLq6DmIwDWbMXF0kcfSf/8p/Tmm4FewaZNpRtukG68UWrRwt0agfIQAFEhx7E5ed98Ewh5y5fbfrfl7Y7h80nt21u469LFVto/7TSpTRspKqr66wfcxF7A3rNjh/UI/vOf9t%2BS/e67%2BGJp3DjpjDP40IvwQQCEJOvV%2B/bbQNjz3%2B7ZU/7zGzYMBDx/2OvcmXl6wE/RA%2Bg9BQXWGzhpkrRgQeB4797S7bdbIKxd2736AIkA6ElZWXZV2zffBG6/%2B678Xr2oKFvqoGvXQODr2pXdMYDjRQD0tm%2B%2Bkf7%2Bd%2BmVV6S8PDuWkmI9gr/6lcRbAm4hANZgRUXS%2BvUW8koHvp07y39%2Bw4YW7vzttNPs6luWWQGqjgAIyT54P/uslJ4emC%2BdkGBzBMeNsw/VQHUiANYQhw7ZEisZGdKyZdaWL7f19n7KP1eva1epe3cLet262URlevWA4CIAorTDh6WpU6W//MVGXiSpTh3pmmukO%2B%2BUOnRwtz54BwEwAu3da0Fv6VILehkZFQ/hxsUFhm27dbPWpYtUv3711w14EQEQ5Skult55R3r0Uenzz%2B1YrVq2qPQf/2i/t4FQIgCGuZ07Lej5w96yZdKmTeU/t0mTQMjr3t1uO3TgClzATQRAHMtnn0kTJ1og9BsxQvrTn%2BzCESAUCIBhwnGkzZvLhr2lS6XMzPKf37q1hbzSjQszgPBDAMTxWr5ceuQRaeZM%2B5sgScOGSffdJ/Xt625tqHkIgC4oLpY2bLCAt2RJIPSVt%2BRKrVq2360/5PXoYT17J51U/XUDqDwCICprzRrp4YftymH/1J5hw6QHHqBHEMFDAKwGW7bYHI/SYS87%2B8jnRUfbWno9egRa166srQdEMgIgqmr9eguCL78cCILnny89%2BKB1BAAnggBYDe64w674Ki0mxib5%2BoNez54W/tg7EqhZCIA4UevXS3/%2Bs109XFxsxy67zILgKae4WxsiFwGwGsyaJT3%2BuIU8f0tLYyV4wAsIgAiWNWuk%2B%2B%2BXZsyw%2B7VqSb/8pR1r2dLNyhCJCIAAEALsBYxQWb7crhB%2B6y27HxMj3XqrNH4888Nx/AiAABBC9AAiVBYtku6%2BW1q40O6fdJJ0zz3SzTezgxOOrZbbBQAAgMrr10%2BaP196%2B22bQ753r80579jRhonp3sHREAABAIhQPp80fLjtCPXii7Ye7ObN0hVXSGecYb2EQHkIgAAARLioKOm666R16%2Bzq4Hr1pMWLpf79LQxu2eJ2hQg3BEAAAGqIunWle%2B%2B1IDh2rPUQzphhy8Xcd5908KDbFSJcEAABAKhhmjWTXnjBNiAYNEg6fNh6Bjt2lF57jfmBIAACAFBjde8uffKJhb7UVGnrVltE%2BpxzpG%2B/dbs6uIkACABADebzSZdcIq1ebYtGx8ZaKOzWza4azs11u0K4gQAIAIAHxMXZPMDVq6ULL5QKC22b0o4dpZkzGRb2GgIgAAAe0rq19MYb0rvvSu3aSTt2SJdfLg0bJn3/vdvVoboQAAEA8KBhw6SVK61XsE4dae5cW1D64Yel/Hy3q0OoEQABIATS09OVlpam3r17u10KUKHYWJsXuHKlXRhy%2BLDtM9yjB4tI13TsBQwAIcRewIgUjiNNmybdfrv044928chNN0kTJki8dWseegABAIB8Pmn0aLtI5NprLRA%2B/bR06qnSO%2B%2B4XR2CjQAIAABKNGokvfSS9OGHUtu20rZt0nnnWTjcvdvt6hAsBEAAAHCEc86RVqyQfv97qVYtGx5OS5NmzXK7MgQDARAAAJSrbl3piSekL76w8JeVZYtKjxol7drldnU4EQRAAABwVH36SEuXSn/8oxQVJb36qs0NfPNNtytDVREAAXjC7Nmzde6556px48by%2BXzKyMg45msmT54sn893RDt8%2BHA1VAyEl5gYWyNw8WILf1lZ0siR0jXXSPv2uV0dKosACMATDhw4oP79%2B2vixImVel1CQoJ27txZpsXGxoaoSiD89ewpLVki3XWXzQ18%2BWWpSxfpo4/crgyVEe12AQBQHa6%2B%2BmpJ0qZNmyr1Op/Pp%2BTk5BBUBESumBhp4kTpggusB3D9emnIEOnWW%2B14XJzbFeJY6AEEgKPYv3%2B/UlNT1bJlS5133nlatmyZ2yUBYeOMM6SMDFswWpL%2B8Q%2BpVy87hvBGAASACnTs2FGTJ0/WnDlzNH36dMXGxqp///5at25dha/Jy8tTTk5OmQbUZPXq2YLR774rJSdLq1bZRSNPPCEVF7tdHSpCAARQ40ybNk3169cvaQsXLqzS1zn99NM1evRode3aVQMHDtTMmTPVoUMHPfXUUxW%2BZsKECUpMTCxpKSkpVf02gIgybJi0fLkNCxcUSHfeKQ0dKu3Y4XZlKA97AQOocXJzc/XDDz%2BU3G/RooXi/jcpadOmTWrTpo2WLVumbt26Vfpr/%2BpXv9K2bdv03nvvlft4Xl6e8vLySu7n5OQoJSWFvYDhGY4jPf%2B89LvfSQcPBnYWOf98tytDafQAAqhx4uPj1b59%2B5IWF6QZ6Y7jKCMjQ82aNavwOTExMUpISCjTAC/x%2BaQbbrB1A7t3t%2B3jRoyQxo2TSn02gssIgAA8Yc%2BePcrIyNCqVaskSWvWrFFGRoYyMzNLnnPNNddo/PjxJfcfeOABzZ07Vxs2bFBGRobGjh2rjIwM3XjjjdVePxBpTjnFdhD53e/s/j/%2BIZ1%2BurR2rbt1wRAAAXjCnDlz1L17dw0fPlySNGrUKHXv3l3PPvtsyXO2bNminTt3ltzft2%2BfbrjhBnXq1ElDhw7V9u3btWDBAvXp06fa6wciUUyM9Ne/Su%2B8Y0PBGRm2juArr7hdGZgDCAAhlJOTo8TEROYAwvO2b5euukqaP9/uX3%2B99QqyZqA76AEEAAAh16KF7Rbyf/9n8wRfeIEhYTcRAAEAQLWIipIeeECaN09q2tSWjenZU5o50%2B3KvIcACAAAqtU559h8wDPPlPbvly6/XLrtNik/3%2B3KvIMACAAAql2zZjYkfNdddv/vf5fOOsvmCiL0CIAAAMAV0dHSxInSf/4jJSZKixZJPXoELhRB6BAAAQCAq0aMkP77X%2Bm006SsLBsi/tvfbFcRhAYBEABCID09XWlpaerdu7fbpQARoX17Wzj6qqukoiLp9tul0aNtOzkEH%2BsAAkAIsQ4gUDmOIz31lAXAoiKpWzfpjTek1q3drqxmoQcQAACEDZ9PuvVW6eOPbamYjAypVy/pk0/crqxmIQACAICwc%2BaZNi%2BwZ09p927pZz%2BTJk1iXmCwEAABAEBYSkmRFi4MzAv87W%2BlG25gvcBgIAACAICwFRcnvfyy9PjjUq1atoXckCHSjz%2B6XVlkIwACAICw5vNJd9whvf22lJBgvYJ9%2BkgrV7pdWeQiAAIAgIgwbJj05ZdSu3bSpk3SGWdI77zjdlWRiQAIAAAiRqdO0uLF0uDBto/wiBG2jRwXh1QOARAAAESURo2kuXOl66%2BXioul226TbrlFKix0u7LIQQAEAAARp04d6bnnpMceszmCTz8tnX%2B%2BlJPjdmWRgQAIAAAiks8n3XmnNGuWXS38/vs2NMwyMcdGAASAEGAvYKD6jBwpLVggJSVJV19tvYM4OvYCBoAQYi9goPrs3i01bGg9gzi6aLcLAAAACIZGjdyuIHIwBAwAAOAxBEAAAACPIQACAAB4DAEQAADAYwiAAAAAHkMABAAA8BgCIAAAgMcQAAEAADyGAAgAIcBWcADCGVvBAUAIsRUcgHBEDyAAAIDHEAABAAA8hgAIAADgMQRAAAAAjyEAAgAAeAwBEAAAwGMIgAAAAB5DAAQAAPAYAiAAAIDHEAABAAA8hgAIACHAXsAAwhl7AQNACLEXMIBwRA8gAACAxxAAAQAAPIYACAAA4DEEQAAAAI8hAAIAAHgMARAAAMBjCIAAUI6CggLddddd6tKli%2BrVq6fmzZvrmmuu0Y4dO9wuDQBOGAEQAMpx8OBBLV26VPfee6%2BWLl2q2bNna%2B3atRoxYoTbpQHACWMhaAA4Tl9//bX69OmjzZs3q1WrVsf1GhaCBhCOot0uAAAiRXZ2tnw%2Bnxo0aFDhc/Ly8pSXl1dyPycnpzpKA4BKYQgYAI7D4cOHdffdd%2BvKK688ak/ehAkTlJiYWNJSUlKqsUoAOD4EQACQNG3aNNWvX7%2BkLVy4sOSxgoICjRo1SsXFxXr66aeP%2BnXGjx%2Bv7OzskrZ169ZQlw4AlcYcQACQlJubqx9%2B%2BKHkfosWLRQXF6eCggJddtll2rBhgz7%2B%2BGM1atSoUl%2BXOYAAwhEBEAAq4A9/69at0yeffKImTZpU%2Bms4jqPc3FzFx8fL5/OFoEoAqDwCIACUo7CwUBdffLGWLl2qt99%2BW0lJSSWPNWzYUHXq1HGxOgA4MQRAACjHpk2b1KZNm3If%2B%2BSTTzR48ODqLQgAgogACAAA4DFcBQwAAOAxBEAAAACPIQACAAB4DAEQAADAYwiAAAAAHkMABAAA8BgCIAAAgMcQAAEAADyGAAgAAOAxBEAAAACPIQACAAB4DAEQAADAYwiAAAAAHkMABAAA8BgCIAAAgMcQAAEAADyGAAgAAOAxBEAAAACPIQACAAB4DAEQAADAYwiAAAAAHkMABAAA8BgCIAAAgMcQAAEAADyGAAgAAOAxBEAAAACPIQACAAB4DAEQAADAYwiAAAAAHkMABAAA8BgCIAAAgMcQAAEAADyGAAgAAOAxBEAAAACPIQACAAB4DAEQAADAYwiAAAAAHkMABAAA8BgCIAAAgMcQAAEAADyGAAgAAOAxBEAAAACPIQACAAB4DAEQAADAYwiAAAAAHkMABAAA8BgCIAAAgMcQAAEAADzm/wGgt1Q%2BKAOHbQAAAABJRU5ErkJggg%3D%3D'}