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g2c_curves • Show schema
{'Lhash': '639653774064676620', 'abs_disc': 277, 'analytic_rank': 0, 'analytic_rank_proved': False, 'analytic_sha': 1, 'aut_grp_id': '[2,1]', 'aut_grp_label': '2.1', 'aut_grp_tex': 'C_2', 'bad_lfactors': '[[277,[1,-7,269,277]]]', 'bad_primes': [277], 'class': '277.a', 'cond': 277, 'disc_sign': 1, 'end_alg': 'Q', 'eqn': '[[-6,11,-19,14,-9,1],[1]]', 'g2_inv': "['-56394933862400000/277','217505333248000/277','-824813158400/277']", 'geom_aut_grp_id': '[2,1]', 'geom_aut_grp_label': '2.1', 'geom_aut_grp_tex': 'C_2', 'geom_end_alg': 'Q', 'globally_solvable': 1, 'has_square_sha': True, 'hasse_weil_proved': False, 'igusa_clebsch_inv': "['4480','1370512','1511819744','-1108']", 'igusa_inv': "['2240','-19352','164384','-1569936','-277']", 'is_gl2_type': False, 'is_simple_base': True, 'is_simple_geom': True, 'label': '277.a.277.2', 'leading_coeff': {'__RealLiteral__': 0, 'data': '0.1431366605510114901557152099923829602231949697145570071', 'prec': 190}, 'locally_solvable': True, 'modell_images': ['2.6.1', '3.80.2'], 'mw_rank': 0, 'mw_rank_proved': True, 'non_maximal_primes': [2, 3, 5], 'non_solvable_places': [], 'num_rat_pts': 1, 'num_rat_wpts': 1, 'real_geom_end_alg': 'R', 'real_period': {'__RealLiteral__': 0, 'data': '3.5784165137752872538928802498', 'prec': 100}, 'regulator': {'__RealLiteral__': 0, 'data': '1.0', 'prec': 10}, 'root_number': 1, 'st_group': 'USp(4)', 'st_label': '1.4.A.1.1a', 'st_label_components': [1, 4, 0, 1, 1, 0], 'tamagawa_product': 1, 'torsion_order': 5, 'torsion_subgroup': '[5]', 'two_selmer_rank': 0, 'two_torsion_field': ['5.1.4432.1', [1, -1, 2, 0, -1, 1], [5, 5], False]} -
g2c_endomorphisms • Show schema
{'factorsQQ_base': [['1.1.1.1', [0, 1], -1]], 'factorsQQ_geom': [['1.1.1.1', [0, 1], -1]], 'factorsRR_base': ['RR'], 'factorsRR_geom': ['RR'], 'fod_coeffs': [0, 1], 'fod_label': '1.1.1.1', 'is_simple_base': True, 'is_simple_geom': True, 'label': '277.a.277.2', 'lattice': [[['1.1.1.1', [0, 1], [0]], [['1.1.1.1', [0, 1], -1]], ['RR'], [1, -1], 'USp(4)']], 'ring_base': [1, -1], 'ring_geom': [1, -1], 'spl_fod_coeffs': [0, 1], 'spl_fod_gen': [0], 'spl_fod_label': '1.1.1.1', 'st_group_base': 'USp(4)', 'st_group_geom': 'USp(4)'} -
g2c_ratpts • Show schema
{'label': '277.a.277.2', 'mw_gens': [[[[1, 1], [-1, 1], [1, 1]], [[0, 1], [0, 1], [0, 1], [0, 1]]]], 'mw_gens_v': True, 'mw_heights': [], 'mw_invs': [5], 'num_rat_pts': 1, 'rat_pts': [[1, 0, 0]], 'rat_pts_v': True} - g2c_galrep • Show schema
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g2c_tamagawa • Show schema
{'cluster_label': 'c3c2_1~2_0', 'label': '277.a.277.2', 'local_root_number': 1, 'p': 277, 'tamagawa_number': 1} -
g2c_plots • Show schema
{'label': '277.a.277.2', 'plot': 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AcD4IgADgIMsye/CFFm6sWmX26KupZ097WnfECKlZM2dqBRA7CIAAUM8OHJCWLjWBb%2BlSae/e8PFWraSxY%2B1p3Q4dnKkTQOwiAAJAHTt%2BXFq71j5mbdOm8PGEBGnYMBP2MjOlvn3NxswAUFcIgABQy6qqpM2b7cC3erVUXh7%2Bmr597cA3bJiUmOhMrQDciQAIALVg71478C1dKn3zTfh4%2B/Z24BszRkpJcaZOAJAIgABwQY4eNaduhELfZ5%2BFjzdtahZsZGeb0HfZZZy6ASByEAAB4BzUPHUjP99s1VLz1I24OGnAAHu17qBBUqNGztULAN%2BFAAgA3yJ06kZ%2BvrRs2emnbnTpYk/rjh4ttWjhTJ0AcL5cHQB9Pp98Pp%2BCwaDTpQCIAIcP26du5Od/%2B6kbodDXpYszdQLAxfJYlmU5XYTTAoGAvF6v/H6/kpOTnS4HQD2pqJAKCuzAt2GD2Zg5pGFDafBgO/ANGMCpGwBig6s7gADcxbKkTz%2B1j1lbtUoqKwt/Ta9eduDj1A0AsYoACCCm7d9vn7qRny99/XX4eJs25tSNUOhr396ZOgGgPhEAAcSU48elNWvsLt/mzeHjjRtLw4fbge/yyzl1A4D7EAABRLWqKumjj%2BztWdauPf3UjX797MA3dCinbgAAARBA1AmdurFkidme5dRTNzp0sAPf2LFS69bO1AkAkYoACCDilZbap24sWXLmUzdGjbI3Ye7Rg1M3AOC7EAABRJxgUCostKd1CwpOP3UjI8Pu8nHqBgCcn4i/9XnatGnyeDxhj9TU1Opxy7I0bdo0tWvXTomJiRo5cqQ%2B%2BeQTBysGcCF27ZKee0664QYzZTtwoPSrX0mrV5vwl54u3X239MYb0sGD5ii23/zGLOgg/AHA%2BYmKDmDv3r21dOnS6ufxNXZifeKJJ/Tkk09q1qxZ6t69u2bMmKHMzExt27ZNSUlJTpQL4BwEAmZad/Fi0%2BXbvj183Os1x6uFpnUvvdSRMgEgJkVFAGzQoEFY1y/Esiz96U9/0qOPPqrrrrtOkvT8888rJSVFL7/8su6%2B%2B%2B76LhXAtwgGpQ8%2BsO/jW7fOXAuJjzdTuaHAl5EhNYiKP6EAIPpExR%2Bv27dvV7t27ZSQkKCBAwdq5syZ6tKli3bu3Kni4mJlZWVVvzYhIUEjRoxQQUEBARBw2M6d4at1jxwJH%2B/a1YS9zEzT7eMkRgCoHxEfAAcOHKgXXnhB3bt31/79%2BzVjxgwNGTJEn3zyiYqLiyVJKSkpYV%2BTkpKiXbt2fev3LC8vV3mNjcICgUDdFA%2B4zNGj0ooVZlp3yRJpx47w8ebNpTFj7NCXnu5MnQDgdhEfAHNzc6t/ffnll2vw4MG69NJL9fzzz2vQoEGSJM8p%2Bz1YlnXatZoee%2BwxTZ8%2BvW4KBlyk5mrd0LRuzdW6oWndrCx7WrfGLbwAAIdEfAA8VdOmTXX55Zdr%2B/btmjRpkiSpuLhYbdu2rX7NgQMHTusK1jR16lQ98MAD1c8DgYDS0tLqrmgghuzZYwe%2BpUulw4fDxy%2B9VMrONh2%2BUaPMYg4AQGSJugBYXl6urVu3atiwYUpPT1dqaqry8/PVr18/SVJFRYVWrVqlxx9//Fu/R0JCghISEuqrZCCqHTtmtmJZssRM7W7dGj6enGzu38vONl2%2BLl2cqRMAcO4iPgA%2B9NBDmjBhgjp27KgDBw5oxowZCgQCuv322%2BXxeDRlyhTNnDlT3bp1U7du3TRz5kw1adJEt9xyi9OlA1HJsqSPPzZhb/Fiac0aqaLCHo%2BLk66%2B2p7WHTiQ1boAEG0i/o/tvXv36uabb9bBgwfVunVrDRo0SOvXr1enTp0kSb/4xS90/Phx3XvvvSopKdHAgQO1ZMkS9gAEzsM335jVuqHFG/9aX1WtY0cT9rKzzSKOFi2cqRMAUDs8lmVZThfhtEAgIK/XK7/fr2T2oYALVFaaBRuhLl9hYfh4kybSyJF26ONsXQCILRHfAQRQO3butAPfsmVmy5aa%2BvY1YS87Wxo6VOI2WQCIXQRAIEaVlZmj1hYtMo9Tj1pr1cru8GVlSWc4bAcAEKMIgECMsCyzQnfhQhP4Vq8OX7wRHy8NHizl5JjQd9VVZkEHAMB9CIBAFPP7zXRuqMu3Z0/4eKdOJuzl5JitWtiTDwAgEQCBqGJZ0qZNJuwtXCgVFJjTOEIaN5ZGjDChLzeXxRsAgDMjAAIRrqTEbM2ycKFZwHHqFi3du5sOX26uCX%2BJic7UCQCIHgRAIMJUVZku38KF0oIF0vr15lpI06ZmOjc31wS/9HTnagUARCdXB0Cfzyefz6dgzTk0wAFHjpiNmBcsMMFv//7w8V69TODLzZWuuYYtWgAAF4eNoMVG0Kh/oePWFiwwj1Pv5WvWzO7y5eaaxRwAANQWV3cAgfpUWmpW7IZC39694eOXXSaNG2cedPkAAHWJAAjUoc8/l%2BbNM4Fv5crwffkSE02Xb9w40%2BXjXj4AQH0hAAK1qLJSWrNGmj/fPLZtCx9PT5fy8kzoGzmSFbsAAGcQAIGLdPCgWbgxd67ZrsXvt8caNDDTuePHm%2BDHvnwAgEhAAATOk2VJn35qAt/cudK6deZaSOvWZko3L89syMzpGwCASEMABM5BRYU5W/edd8w9fTt3ho/37Wu6fOPHSxkZ5txdAAAiFQEQ%2BBYlJWbxxjvvmKPXAgF7LCFBGjPGDn1pac7VCQDA%2BSIAAjXs3Cm9/bYJfatXh%2B/N16aNCXsTJ0pjx5oTOQAAiEYEQLiaZUkbN0pz5pjHxx%2BHj/fubQLfxInS1VdLcXHO1AkAQG0iAMJ1KitNd2/OHNPt27PHHouPl4YNM4Hv2mulLl2cqxMAgLpCAIQrHD8uLV4svfWWWblbUmKPNWki5eSYwJeXJ11yiXN1AgBQHwiAiFl%2Bv9mM%2BZ//NPv0lZXZY61amS7fpEnmfj42ZAYAuImrA6DP55PP51Ow5p3%2BiGqHDplp3TfflJYuDT96rWNH6Xvfk667Tho6lK1aAADu5bGsmlvYulMgEJDX65Xf71dycrLT5eA8HThgpnbfeENasSJ85e5ll5nAd9110lVXcQoHAACSyzuAiF6h0Pf669LKlVJVlT3Wt690/fXm0auXYyUCABCxCICIGocOmfv5XnvNdPpqhr7%2B/aV/%2Bzfz6NrVuRoBAIgGBEBENL/fbNfy6qvmnr6TJ%2B2xAQOkG24woY/tWgAAOHcEQESc48fN6t1XXjH/LC%2B3x668UrrxRummmwh9AABcKAIgIkIwaKZ1X3rJrOA9etQeu%2Bwy6eabTejr0cO5GgEAiBUEQDjqo4%2Bk2bOll1%2BW9u2zr3fsKP37v0u33CJdcQWrdwEAqE0EQNS74mIT%2BJ5/Xtq82b7eooWZ3v3%2B980%2BfZy7CwBA3SAAol6Ul5sj2GbNkhYtsvfqa9RImjBBuu02KTfXPAcAAHWLAIg69fHH0v/9n/Tii2Ybl5DBg6Uf/MDc19eihXP1AQDgRgRA1LqjR822Lc89J33wgX29XTvp9tvNg8UcAAA4hwCIWrNpk/T00%2Bb%2BvtJSc61BA2niROnOO6WsLM7fBQAgErg6APp8Pvl8PgVrHh6L83LihPSPf0hPPSWtX29f795duusuM83bpo1z9QEAgNN5LMuynC7CaYFAQF6vV36/X8nJyU6XExX27DHdvueekw4eNNcaNpSuu076yU%2BkESPYugUAgEjl6g4gzt/69dIf/2g2aw41TtPSTOj70Y%2BklBRn6wMAAGdHAMRZBYPS229Lf/iDtG6dfX3kSOn%2B%2B809fg34LwkAgKjBX9v4VuXlZrPm3/9e2rHDXGvUyGzUPGWKOaEDAABEHwIgTnPsmPTssyb4hY5na9FCuu8%2B80hNdbY%2BAABwcQiAqFZWZlbzPvGE9M035lqHDtKDD5ptXJo1c7Y%2BAABQOwiAUHm5Wc07Y4a0f7%2B51qWL9MgjZtNmjmcDACC2EABdrKpKeu016dFHpZ07zbX0dOlXv5JuvdVs6wIAAGIPAdCl1q0zCznef988T02V/uu/zFYudPwAAIhtBECX2b9fevhhs7pXkpo2Nc8feMD8GgAAxD4CoEtYlvTXv0q/%2BIV05Ig5pWPyZOm3v2VVLwAAbkMAdIEvv5R%2B%2BENpxQrzvF8/c4zbwIGOlgUAABwS53QBqFuzZ5sNm1eskJo0kZ580tz3R/gDAMC9XN0B9Pl88vl8CoYOtY0hZWXSPfdIL7xgng8dKs2aJXXt6mhZAAAgAngsy7KcLsJpgUBAXq9Xfr9fycnJTpdz0Xbtkq69VvroIykuTpo%2BXZo6VYqPd7oyAAAQCVzdAYxFhYVSXp5Z7dumjfT669KIEU5XBQAAIgkBMIasXm3CX2mp1LevNHeulJbmdFUAACDSsAgkRqxbJ%2BXmmvA3apQJg4Q/AABwJnQAY8COHdL48WbhR2am9PbbUmKi01UBAIBIRQcwypWVSZMmSYcPS1dfLb31FuEPAAB8NwJglHvkEemTT8xpHnPmcJwbAAA4OwJgFPvoI%2BkvfzG/njVLatvW0XIAAECUiKkA%2BNRTTyk9PV2NGzdW//79tWbNGqdLqlPTppkzfm%2B8UcrOdroaAAAQLWImAL722muaMmWKHn30UW3cuFHDhg1Tbm6udu/e7XRpdWLPHrPYQzIbPQMAAJyrmAmATz75pH70ox/pzjvvVM%2BePfWnP/1JaWlpevrpp50urU7MmWO6f9dcI112mdPVAACAaBITAbCiokKFhYXKysoKu56VlaWCggKHqqpbobeVk%2BNsHQAAIPrExD6ABw8eVDAYVEpKStj1lJQUFRcXn/b68vJylZeXVz8PBAIX9HMty9LRo0cv6Gsv1vbt5p%2BdO0sXWD4AAK6WlJQkj8fjdBmOiIkAGHLqh2hZ1hk/2Mcee0zTa%2BHGuaNHj8rr9V7097kYt97q6I8HACBq%2Bf1%2BJScnO12GI2IiALZq1Urx8fGndfsOHDhwWldQkqZOnaoHHnig%2BnkgEFDaBZyblpSUJL/ff/4Fn4OMjAx98MEH3zqelSW99570t79J119//t8/9J737NlTp//xn%2B19RPr3r4%2BfUdffn886cn4Gn3VkfP/6%2BBl81pHx/c/2M5KSkur0Z0eymAiAjRo1Uv/%2B/ZWfn6/vfe971dfz8/N17bXXnvb6hIQEJSQkXPTP9Xg8dfYbLz4%2B/ju/d%2B/eJgAWFUkXU0JycnKd/uFxtvcR6d%2B/Pn5GfbwHic86En4Gn3VkfP/6%2BBl81pHx/evrZ0SjmFgEIkkPPPCA/vrXv%2Bpvf/ubtm7dqv/4j//Q7t279ZOf/MTp0i7Ifffd953jI0aYf86da1YDR6qzvY9I//718TPq4z3Uh1j49xQL76E%2BxMK/p1h4D/UhFv49xcpnUds8lhXJ8eH8PPXUU3riiSe0b98%2B9enTR3/84x81fPjws35dIBCQ1%2BuNqnsBjhwxJ3%2BcOCGtWiWdw9sME43vGReGz9o9%2BKzdg88aFytmOoCSdO%2B99%2BrLL79UeXm5CgsLzyn8RavmzaU77jC/njr1/LuACQkJ%2BvWvf10rU%2BGIbHzW7sFn7R581rhYMdUBvFDR%2Bn9Se/dKPXpIZWXSU09J99zjdEUAACAaxFQH0G06dJBmzjS/fuABaeNGZ%2BsBAADRgQAY5e6/Xxo3ztwLOGGCFKNHHwMAgFpEAIxycXHSSy9JvXpJX30ljR1r/gkAAPBtCIAxoHlzadEiqVMnc0Rcp0575PF0k8fjCXt821L4WbNmnfZaj8ejEydO1PM7QW06efKkfvnLXyo9PV2JiYnq0qWL/vu//1tVVVVOl4YLcCGf58qVK8/4e/uzzz6rx8pRm44ePaopU6aoU6dOSkxM1JAhQ%2Bp8I2XEppjYCBpSWprZDmbsWGnHjjS1aLFN//d/JRo8uFJbtmxRZmambrjhhm/9%2BuTkZG3bti3sWuPGjeu6bNShxx9/XP/7v/%2Br559/Xr1799aGDRs0efJkeb1e/exnP3O6PJyni/k8t23bFrbArXXr1nVdLurInXfeqS1btmj27Nlq166dXnzxRY0dO1affvqp2rdv73R5iCIEwBjSqZO0dq25F/CDD%2BJ0442X6A9/kL744ne69NJLNSK0e/QZeDwepaam1mO1qGvr1q3Ttddeq7y8PElS586d9corr2jDhg0OV4YLcTGfZ5s2bdS8efO6LhF17Pjx43rzzTf19ttvV29zNm3aNM2ZM0dPP/20ZsyY4XCFiCaungL2%2BXzq1auXMjIynC6l1qSkSCtXSjffLJ08KU2ZIj39dJZuuuk%2BeTyeb/19wSikAAAd90lEQVS60tJSderUSR06dND48eO1kSXFUe%2Baa67RsmXLVFRUJEn66KOPtHbtWo0bN87hynAhLubz7Nevn9q2basxY8ZoxYoVdV0q6sjJkycVDAZPm51JTEzU2rVrHaoKUcuC5ff7LUmW3%2B93upRaU1VlWX/%2Bs2U1aHDSkiyrTZuT1jvvnPm169ats2bPnm1t2rTJWr16tXX99ddbiYmJVlFRUf0WjVpVVVVlPfLII5bH47EaNGhgeTwea%2BbMmU6XhQt0IZ/nZ599Zj377LNWYWGhVVBQYN1zzz2Wx%2BOxVq1aVU9Vo7YNHjzYGjFihPXVV19ZJ0%2BetGbPnm15PB6re/fuTpeGKEMAtGIzAIYMGnSP1azZLsucFWJZN99sWfv3f/fXBINBq2/fvtb9999fP0WiTrzyyitWhw4drFdeecXavHmz9cILL1gtW7a0Zs2a5XRpuAC19XmOHz/emjBhQh1Vibq2Y8cOa/jw4ZYkKz4%2B3srIyLC%2B//3vWz179nS6NEQZTgJR9J4Ecja7du1Sly5d9Morc/TBBxP05JNSVZXUooXZQPquu6T4%2BDN/7V133aW9e/dq4cKF9Vs0ak1aWpoeeeSRsNXfM2bM0Isvvsgq0ChUW5/nb3/7W7344ovaunVrXZSJenLs2DEFAgG1bdtWN910k0pLSzV//nyny0IUcfU9gLHu73//u9q0aaPrrsvV738vrV8vXXmlVFJijo0bMMCsHD6VZVnatGmT2rZtW/9Fo9aUlZUpLi78t3h8fDzbwESp2vo8N27cyO/tGNC0aVO1bdtWJSUlWrx4sa699lqnS0KUYRVwjKqqqtLf//533X777WrQwHzMGRnSBx9IQ4a8oM2bb9CmTYkaOVLq0eMzPfTQQY0e3U6BQEB//vOftWnTJvl8PmffBC7KhAkT9Nvf/lYdO3ZU7969tXHjRj355JP64Q9/6HRpuADn8nlOnTpVX331lV544QVJ0p/%2B9Cd17txZvXv3VkVFhV588UW9%2BeabevPNN516G7hIixcvlmVZ6tGjh3bs2KGf//zn6tGjhyZPnux0aYg2zs5AR4ZYvAdw8eLFliRr27Ztp42NGDHCuumm/8%2B65x7Lio%2B3/nV/YKUVF/c3q2XLK62srCyroKDAgapRmwKBgPWzn/3M6tixo9W4cWOrS5cu1qOPPmqVl5c7XRouwLl8nrfffrs1YsSI6uePP/64demll1qNGze2WrRoYV1zzTXW/PnzHageteW1116zunTpYjVq1MhKTU217rvvPuvIkSNOl4UoxD2Ait17AM/Fp59KU6dK77xjnjdsaO4NfOQRs7k0AACIPdwD6HK9eklvvy0VFEijR0uVldJTT0ldu0o/%2BYm0c6fTFQIAgNpGAIQkafBgadkyacUKacQIqaJCeuYZqVs36dZbpc2bna4QAADUFgIgwowcaU4SWbVKysqSgkHppZekvn2l3Fxp6VJzxyAAAIheBECc0fDh0uLF0oYN0g03SHFx0qJFUmamCYN/%2B5t04oTTVQIAgAvBIhC5exHIufr8c%2Bn//T8T/I4dM9datZJ%2B/GNzryALRgAAiB4EQBEAz0dJifTcc5LPJ%2B3eba7FxUnXXivde69ZSBJHXxkAgIjm6gDo8/nk8/kUDAZVVFREADwPJ0%2Ba1cN/%2BYu5ZzCka1fp7rulO%2B4wHUIAABB5XB0AQ%2BgAXpxPPpGeflp64QXp6FFzrVEj6Xvfk%2B68k64gAACRhgAoAmBtKS2VXn3VbB%2BzYYN9PT1dmjxZuv12qWNH5%2BoDAAAGAVAEwLqwcaO5V/Cll6RAwFzzeKSxY8308KRJUpMmjpYIAIBrEQBFAKxLZWXSm2%2Ba1cM17xVMTpZuvFH6wQ%2BkoUOZIgYAoD4RAEUArC87d0qzZpl7Bb/80r7eubM5beTWW6UePRwqDgAAFyEAigBY36qqpDVrTBD8xz/shSOSNGCAdMst0r//u9S2rXM1AgAQywiAIgA6qaxMeucdafZsc/JIMGiux8VJo0ZJN98sXXed1KKFs3UCABBLCIAiAEaKAwek11%2BXXn5ZWrfOvt6woZSTY7qCEyZISUnO1QgAQCwgAIoAGIl27pReecU8tmyxrzduLOXlmQUkeXlS06bO1QgAQLQiAIoAGOk%2B%2BcTsL/jaa9L27fb1Jk3sMJibSxgEAOBcEQBFAIwWlmX2F3z9dfPYudMeS0w0YfDf/s38s1kz5%2BoEACDSEQBFAIxGliUVFpog%2BMYb4WGwcWMpK8uEwfHjWUACAMCpCIAiAEY7y5I%2B/NAEwTfekHbssMcaNJDGjDHnEk%2BaJKWkOFcnAACRwtUB0OfzyefzKRgMqqioiAAYAyxL%2BvhjEwT/%2BU9z/2CIx2NOHfne98wjPd25OgEAcJKrA2AIHcDYtW2bCYJvvSV98EH4WN%2B%2Bpit47bXSlVeagAgAgBsQAEUAdIs9e6Q5c0wYXL3a3nRakjp1kiZONIFw2DCz9yAAALGKACgCoBsdOiTNm2cC4eLF0vHj9liLFtK4caYzmJ0t8Z8EACDWEABFAHS7sjIpP196%2B21p7lzp4EF7rGFDcyTdhAnm0amTc3UCAFBbCIAiAMIWDJpj6N5%2B25xRXFQUPt63r9laZuJEacAAc2YxAADRhgAoAiC%2B3Wefma7gO%2B9IBQVSVZU9lpJiwuD48VJmJieRAACiBwFQBECcm4MHpQULTCBcvFg6etQeS0gwU8V5eSYQdu7sWJkAAJwVAVAEQJy/igpp1SoTBufNCz%2BJRJJ69zZhMC9PGjLEbEgNAECkIACKAIiLY1nS1q0mCM6bZ6aKa24x06KFWU2clyfl5EitWjlXKwAAEgFQEgEQtevwYTNFPH%2B%2BtHCheR7i8UgDB5owOG6c2YCahSQAgPpGABQBEHUnGJTWrzf3Ds6fL330Ufh4aqqUm2vCYGam5PU6UycAwF0IgCIAov7s3WvC4IIF0tKl0rFj9lh8vHTNNXYg7NOH4%2BkAAHXD1QHQ5/PJ5/MpGAyqqKiIAIh6VV4urVljTxVv2xY%2B3r69CYO5udLYsZxIAgCoPa4OgCF0ABEJvvjCdAYXLpRWrAg/nq5BA2noUDsQXn453UEAwIUjAIoAiMhz/LjZZmbhQvPYvj18vF07s6I41B1s3tyZOgEA0YkAKAIgIt/nn5sguGiRtHx5eHcwPl4aNMgEwpwc6aqrWFkMAPhuBEARABFdTpyQVq82YXDhQnNcXU2tW0tZWSYMZmVJbdo4UycAIHIRAEUARHTbtcuEwUWLpGXLwo%2Bok0xHMCfHbEY9eLDUsKEzdQIAIgcBUARAxI7KSundd81G1IsWSZs2hY8nJUljxpgwmJ0tpac7UycAwFkEQBEAEbv27zdhcPFiackS6eDB8PFu3UwQzMmRRo6UmjZ1pEwAQD0jAIoACHeoqpIKC%2B1AuG5d%2BJnFjRqZjaizs829g337stUMAMSqiF8reMcdd8jj8YQ9Bg0aFPaa8vJy3X///WrVqpWaNm2qiRMnau/evQ5VDESmuDgpI0P65S/NBtSHDkn//Kd0991S585SRYVZYfzww1K/fmarmR/8QHrpJenAAaerBwDUpojvAN5xxx3av3%2B//v73v1dfa9SokVq2bFn9/J577tHcuXM1a9YsXXLJJXrwwQd1%2BPBhFRYWKj4%2B/qw/gw4g3M6yzF6DixaZqeIVK6SysvDX9OtnOoPZ2dKQIVJCgjO1AgAuXlQEwCNHjmjOnDlnHPf7/WrdurVmz56tm266SZL09ddfKy0tTQsWLFB2dvZZfwYBEAhXXm4WkyxZYqaLT11M0rSpuWcwK8s8evRguhgAoknETwFL0sqVK9WmTRt1795dd911lw7UmI8qLCxUZWWlsrKyqq%2B1a9dOffr0UUFBgRPlAlEvIUEaPVr63e%2BkjRul4mJp9mzp1lullBTp2DFzhvHPfib17Cl16iTdeaf0j39Ihw87XT0A4GwivgP42muvqVmzZurUqZN27typX/3qVzp58qQKCwuVkJCgl19%2BWZMnT1Z5eXnY12VlZSk9PV3PPPPMad%2BzvLw87PWBQEBpaWl0AIFzUFUlbd5suoNLlpj7CSsq7HGPx9xrGOoODhrE3oMAEGkiqgP40ksvqVmzZtWPNWvW6KabblJeXp769OmjCRMmaOHChSoqKtL8%2BfO/83tZliXPt8xJPfbYY/J6vdWPtLS0ung7QEyKi5OuvFL6xS%2BkpUulkhJpwQJpyhSpVy9zP%2BH770szZkjDh0uXXCJNnCj95S9SUZEZBwA4K6I6gEePHtX%2B/furn7dv316JiYmnva5bt26688479fDDD2v58uUaM2aMDh8%2BrBYtWlS/pm/fvpo0aZKmT59%2B2tfTAQTqzt69Un6%2B6Q4uXXr63oOdO0uZmaY7OHq0VGM9FwCgnkRUADwXhw4dUvv27fXss8/qBz/4QfUikBdffFE33nijJGnfvn3q0KEDi0AAh1VVmXsIQ9PF775rTisJiYuTBgwwYTAz00wXN2rkXL0A4BYRHQBLS0s1bdo0XX/99Wrbtq2%2B/PJL/ed//qd2796trVu3KikpSZLZBmbevHmaNWuWWrZsqYceekiHDh1iGxggwhw7Jq1aZcJgfr706afh482aha8u7t6d1cUAUBciOgAeP35ckyZN0saNG3XkyBG1bdtWo0aN0m9%2B85uw%2B/ZOnDihn//853r55Zd1/PhxjRkzRk899dQ539tHAASc8dVXdhhculT65pvw8bQ0e7p4zBipVStn6gSAWBPRAbC%2BEAAB51VVSR99ZE8Xr117%2Buriq66yp4vZjBoALhwBUARAIBKVlUmrV9sLSrZsCR9v0sSsMg4Fwt69mS4GgHNFABQBEIgG%2B/aZaeLQlHGNDQMkSW3bmiCYmSmNHSulpjpTJwBEAwKgCIBAtLEs6eOPTRDMzzedwuPHw19z%2BeX2/YPDhpmOIQDAIACKAAhEuxMnzBYzoUD44Yfh4wkJ0tChdoewXz%2BzBQ0AuBUBUARAINYcPGimi0OBcM%2Be8PFWrcwm1KHtZjgMCIDbEABFAARimWVJ27bZYXDFCqm0NPw13bvbi0lGjpT4YwBArCMAigAIuEllpfTee/bq4vffN1vQhMTHmxNJQtPFV18tNWjgXL0AUBcIgCIAAm525IjpCoY6hDt2hI8nJ0ujRpkO4dixUrdubDcDIPq5OgD6fD75fD4Fg0EVFRURAAFo5077/sGlS6WSkvDxTp3s7uCYMdIllzhTJwBcDFcHwBA6gADOJBiUNm60p4sLCk4/naR/f9MZzMridBIA0YMAKAIggHNz7Fj46SSffBI%2BnpgYfjpJnz5MFwOITARAEQABXJivvw7fbubU00lSU%2B3u4Nix5rQSAIgEBEARAAFcPMsy5xWHwuCqVaefTtKnj33/4PDhUtOmztQKAARAEQAB1L7ycnM6Sej84g8/NCExpFGj008niY93rl4A7kIAFAEQQN07eFBatszuEO7eHT7esqVZVRw6v7hTJ2fqBOAOBEARAAHUL8uStm8PP50kEAh/Tbdu4aeTeL2OlAogRhEARQAE4KzKSnMiSSgQvvee2YImJD5eGjjQDoScTgLgYhEARQAEEFn8fmnlSnPvYH6%2B6RbWlJwsjR5t3z/YtSvbzQA4PwRAEQABRLYvv7S7g8uWSYcPh4937hx%2BOknLlk5UCSCaEABFAAQQPUKnkyxZYp9OUllpj3s80oAB9nTx4MFmxTEA1EQAFAEQQPQqLTV7DoY6hJ9%2BGj7etKk0apS9urhHD6aLAbg8APp8Pvl8PgWDQRUVFREAAUS9r76yj6pbulT65pvw8Q4d7O7g2LFSq1bO1AnAWa4OgCF0AAHEoqoqafNmezHJmjVmg%2BoQj0e66iq7OzhkiJSQ4Fy9AOoPAVAEQADuUFZmQmCoQ/jxx%2BHjTZpII0aYMJiVJfXsyXQxEKsIgCIAAnCnffvso%2Bry86X9%2B8PH27cPny5u3dqZOgHUPgKgCIAAYFmmIxhaXbxmjXTiRPhrrrrK7g4yXQxENwKgCIAAcKrjx6W1a%2B1AuHlz%2BHiTJuaIutD9g0wXA9GFACgCIACcTXFx%2BOri4uLw8dB0cVYWq4uBaEAAFAEQAM5HzenixYvPvLq4f387ELIZNRB5CIAiAALAxTh%2BXFq92p4u3rIlfLxZMzNdnJUlZWdL3boxXQw4jQAoAiAA1KZ9%2B%2BwwmJ9/%2BmbUnTqZIJiVJY0eLbVo4UydgJsRAEUABIC6UlUlffSRmSpeskR6912posIej4uTBg60p4uvvlpq0MC5egG3IACKAAgA9eXYMXN2cSgQfvZZ%2BLjXK40ZY3cIO3d2pEwg5hEARQAEAKfs3m0vJlm2TCopCR/v3t0OgyNHmvsJAVw8AqAIgAAQCYJBacMGuzu4fr25FtKwoXTNNSYM5uRIV1xhppABnD9XB0Cfzyefz6dgMKiioiICIABEEL9fWr7cDoQ7d4aPt2ljryzOyjLPAZwbVwfAEDqAABDZLEvascOEwcWLpRUrzP2ENV15pQmD2dnS0KHsPQh8FwKgCIAAEG0qKqSCAjsQbtwYPt60qTRqlB0Iu3Zl70GgJgKgCIAAEO0OHDB7Di5aZKaLDxwIH%2B/Sxb53cPRoKSnJmTqBSEEAFAEQAGJJzb0HFy82ew9WVtrjDRpIQ4aYzmBOjpk6ZjEJ3IYAKAIgAMSy0lJzz2AoEO7YET7epo2UmWnCIItJ4BYEQBEAAcBNPv/cDoPLl5uAWNNVV9ndwcGDzfYzQKwhAIoACABudbbFJElJ9skkOTmcTILYQQAUARAAYBQXhy8mOXgwfLxHDxMEc3Kk4cOlJk2cqRO4WARAEQABAKerqpI%2B/NCEwUWLTj%2BZJCFBGjHCDoSXXcZWM4geBEARAAEAZ3fkiDmveNEiM128Z0/4eMeOdhgcM0birxNEMgKgCIAAgPNjWdLWrXZ3cPVqqbzcHg9tNZOTI%2BXmcm4xIg8BUARAAMDFKSuTVq60A%2BH27eHjKSl2dzArS2rZ0pEygWquDoA%2Bn08%2Bn0/BYFBFRUUEQABArfjiCxMEFy48/dziuDjp6qvtQDhggBQf71ytcCdXB8AQOoAAgLpSXi6tXWt3B7dsCR9v1co%2Bpi4ry3QLgbpGABQBEABQf/butcNgfr4UCISP9%2B9v3zs4cKC5nxCobQRAEQABAM6orDTbyyxcaALhqRtRN29udwdzcqS2bZ2pE7GHACgCIAAgMhQXmy1mFi40G1GXlISPX3ml6Qzm5ppj6ugO4kIRAEUABABEnmBQeu89ezHJhg3h416vlJlpwmBOjtSunTN1IjoRAEUABABEvgMH7O7g4sXS4cPh4337mjA4bhzdQZwdAVAEQABAdAkGTUdw4UJpwQLz65p/m9fsDubmcu8gTkcAFAEQABDdvvkmvDt46FD4eOjewXHjpEGD6A6CACiJAAgAiB3BoPTBB3Z3sLAwvDsYWlk8bpy5d5B9B93J0ZMJ//nPfyo7O1utWrWSx%2BPRpk2bTntNeXm57r//frVq1UpNmzbVxIkTtXfv3rDX7N69WxMmTFDTpk3VqlUr/fSnP1VFRUV9vQ0AACJGfLzp8k2fboJgcbH0wgvSzTdLLVpIR45Ir78u3XGHlJpqTiL5r/%2BS1q0z4RHu4GgAPHbsmIYOHarf/e533/qaKVOm6K233tKrr76qtWvXqrS0VOPHj1fwX/%2BVBoNB5eXl6dixY1q7dq1effVVvfnmm3rwwQfr620AABCx2rSRbrtNevllM1X87rvSL38pXXWVGS8slH7zG2nIENMN/P73pZdekg4edLZu1K2ImAL%2B8ssvlZ6ero0bN%2BrKK6%2Bsvu73%2B9W6dWvNnj1bN910kyTp66%2B/VlpamhYsWKDs7GwtXLhQ48eP1549e9TuX2vgX331Vd1xxx06cODAOU3pMgUMAHCj4mKzzcyCBWbfQb/fHvN4zEkk48aZR79%2B5hxjxIaI/igLCwtVWVmprKys6mvt2rVTnz59VFBQIElat26d%2BvTpUx3%2BJCk7O1vl5eUqLCw84/ctLy9XIBAIewAA4DapqWYq%2BPXXTXdw1Srp4YelK64w9w2uX2%2BmhwcMkNq3lyZPlt54IzwoIjpFdAAsLi5Wo0aN1KJFi7DrKSkpKi4urn5Nyil3sLZo0UKNGjWqfs2pHnvsMXm93upHWlpa3bwBAACiRMOG0vDh0u9%2BJ330kbRnj/Tss9KkSVKzZqZbOGuWdMMN0iWXSCNHSk88IW3ZEr7IBNGh3gLgSy%2B9pGbNmlU/1qxZc8Hfy7IseTye6uc1f/1tr6lp6tSp8vv91Y89e/ZccC0AAMSiDh2ku%2B6S3nrL3A%2BYny/9x39IPXqYxSKhbuHll0vp6dK990rz5kllZU5XjnNRbzsBTZw4UQMHDqx%2B3r59%2B7N%2BTWpqqioqKlRSUhLWBTxw4ICGDBlS/Zr33nsv7OtKSkpUWVl5WmcwJCEhQQkJCRfyNgAAcJ2EBGnsWPN48knp88/NfYMLFkgrVki7dklPP20eCQnSqFFSXp65d7BLF6erx5nUWwcwKSlJXbt2rX4kJiae9Wv69%2B%2Bvhg0bKj8/v/ravn37tGXLluoAOHjwYG3ZskX79u2rfs2SJUuUkJCg/v371/4bAQDA5S69VLr/frPX4OHD0ty50j33SB07SuXlZmHJ/feb1/XsKT30kLR8ucQObZHD0VXAhw8f1u7du/X1118rLy9Pr776qnr06KHU1FSlpqZKku655x7NmzdPs2bNUsuWLfXQQw/p0KFDKiwsVHx8vILBoK688kqlpKTo97//vQ4fPqw77rhDkyZN0v/8z/%2BcUx2sAgYA4OJZlvTpp9L8%2BaY7uHZt%2BN6CycnmiLq8PHMyyb/%2BqocDHA2As2bN0uTJk0%2B7/utf/1rTpk2TJJ04cUI///nP9fLLL%2Bv48eMaM2aMnnrqqbCFG7t379a9996r5cuXKzExUbfccov%2B8Ic/nPM0LwEQAIDad%2BSI2V4mNF38zTfh4wMGmDCYlyf17882M/UpIvYBdBoBEACAulVVJW3YYLqD8%2BebDahrSkkxXcG8PHNUHX8d1y0CoAiAAADUt3377POKlyyRjh61xxo2lIYNk8aPN4Gwe3fn6oxVBEARAAEAcFJFhbR6td0d3L49fLxrVzsMDh8uNWrkTJ2xhAAoAiAAAJFk%2B3YTBOfNM8GwstIeS0oyU8Tjx5sp42/Z8Q1nQQAUARAAgEgVCJhNqEMri/fvt8c8Hikjw%2B4O9utnruHsCIAiAAIAEA2qqszikXnzzryQpF076cEHpQcecKa%2BaMKCawAAEBXi4kzHb/p0s6L466%2Bl556Trr1WatLEPK%2BqcrrK6EAHUHQAAQCIdidOSCtXSn36mHOM8d3q7SzgSOTz%2BeTz%2BRSsuU05AACIOo0bSzk5TlcRPegAig4gAABwF%2B4BBAAAcBkCIAAAgMsQAAEAAFyGAAgAAOAyBEAAAACXIQACAAC4DAEQAADAZQiAAAAALkMABAAAcBkCIAAAgMsQAAEAAFzG1QHQ5/OpV69eysjIcLoUAACAeuOxLMtyuginBQIBeb1e%2Bf1%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'}
Genus 2 curve data - 277.a.277.2