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g2c_curves • Show schema
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{'Lhash': '313327358432625608', 'abs_disc': 4667, 'analytic_rank': 0, 'analytic_rank_proved': False, 'analytic_sha': 4, 'aut_grp_id': '[2,1]', 'aut_grp_label': '2.1', 'aut_grp_tex': 'C_2', 'bad_lfactors': '[[13,[1,-5,7,13]],[359,[1,9,367,359]]]', 'bad_primes': [13, 359], 'class': '4667.a', 'cond': 4667, 'disc_sign': -1, 'end_alg': 'Q', 'eqn': '[[22,39,79,71,68,29,14],[0,1,1]]', 'g2_inv': "['138246399805930957265934375/4667','5759536994600655307831875/4667','319894116309350290199475/4667']", 'geom_aut_grp_id': '[2,1]', 'geom_aut_grp_label': '2.1', 'geom_aut_grp_tex': 'C_2', 'geom_end_alg': 'Q', 'globally_solvable': 0, 'has_square_sha': True, 'hasse_weil_proved': False, 'igusa_clebsch_inv': "['676380','3621945','814305694467','597376']", 'igusa_inv': "['169095','1191229045','11187800674339','118193629343935295','4667']", 'is_gl2_type': False, 'is_simple_base': True, 'is_simple_geom': True, 'label': '4667.a.4667.1', 'leading_coeff': {'__RealLiteral__': 0, 'data': '1.0100691977380478061049202282615744420113081623561250606', 'prec': 190}, 'locally_solvable': True, 'modell_images': ['2.15.1'], 'mw_rank': 0, 'mw_rank_proved': True, 'non_maximal_primes': [2], 'non_solvable_places': [], 'num_rat_pts': 0, 'num_rat_wpts': 0, 'real_geom_end_alg': 'R', 'real_period': {'__RealLiteral__': 0, 'data': '4.0402767909521912244196809130', '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': 4, 'torsion_subgroup': '[4]', 'two_selmer_rank': 3, 'two_torsion_field': ['6.4.18121699648.1', [-207, 566, -93, 148, -45, -2, 1], [6, 11], False]}
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g2c_endomorphisms • Show schema
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{'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': '4667.a.4667.1', '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)'}
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g2c_ratpts • Show schema
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{'label': '4667.a.4667.1', 'mw_gens': [[[[6, 5], [3, 5], [1, 1]], [[16, 25], [-2, 25], [0, 1], [0, 1]]]], 'mw_gens_v': True, 'mw_heights': [], 'mw_invs': [4], 'num_rat_pts': 0, 'rat_pts': [], 'rat_pts_v': True}
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g2c_galrep • Show schema
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{'conductor': 4667, 'lmfdb_label': '4667.a.4667.1', 'modell_image': '2.15.1', 'prime': 2}
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g2c_tamagawa • Show schema
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id: 100487
{'cluster_label': 'c4c2_1~2_0', 'label': '4667.a.4667.1', 'p': 13, 'tamagawa_number': 1}
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id: 100488
{'cluster_label': 'c4c2_1~2_0', 'label': '4667.a.4667.1', 'p': 359, 'tamagawa_number': 1}
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g2c_plots • Show schema
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{'label': '4667.a.4667.1', 'plot': 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J721yiyfmu3uJ9v7Yp57xVde9HPj1i87z1rtzi%2B/66urjjjjDNi27Zt8aY3vWl0ftu2bXHRRRfN6PVngwA4SzZv3ryonz9TRdZv7Rb384t87cX%2B/CJfe7E/f6b8nVfc6xf9/Kl4//vfH5dddlm8/OUvj7POOituueWW%2BNvf/hbvec975q2GTvwaGKb8Y%2B2MsXbTZ%2B1mxvpNn7WbvtTXbjrf/0033RSf%2BcxnYvfu3XHKKafE5z73uXjta187x5UenQ4g0d3dHVu2bGn7GQYmZu2mz9rNjPWbPms3fdZu6q688sq48soriy5jHB1AAIBJWEodUL8IGgAgMQIgAEBiBEAAgMQIgAAAiREAE5FlWVx//fWxfv36WLVqVZx99tnx8MMPT/ic66%2B/PkqlUstYt27dPFVcnOmsVbOtW7dGqVSKa6%2B9tmX%2B7LPPHreel1xyyWyXv%2BDM1XouNdNZp5tvvjlOO%2B200V9Ke9ZZZ8UPf/jDlnO872Z3PZei6azV1q1bo1qtRm9vbxx33HFx8cUXxx//%2BMeWc1J97y0WAmAiPvOZz8RnP/vZ%2BOIXvxgDAwOxbt26OO%2B882JwcHDC55188smxe/fu0fHQQw/NU8XFme5aRUQMDAzELbfcEqeddlrbx9/1rne1rOeXv/zl2S5/wZnL9VxKprNOJ5xwQtxwww3xy1/%2BMn75y1/G61//%2BrjooovG/c/b%2B25213Opmc5abd%2B%2BPTZv3hw7duyIbdu2xdDQUGzatCn27t3bcl6K771FI2PJO3LkSLZu3brshhtuGJ07cOBAVqlUsi996Usdn7dly5bspS996XyUuGBMd62yLMsGBwezF73oRdm2bduy173uddk111zT8ni7uaVuLtdzKZnJOuU961nPyr761a%2BOHi/1tWtnLtdzqZmttXryySeziMi2b98%2BOrcU33u1Wi2LiKxWqxVdyozpACbgscceiz179sSmTZtG57q7u%2BN1r3tdPPDAAxM%2B95FHHon169fHxo0b45JLLolHH310rsst1EzWavPmzXHBBRfEueee2/GcW2%2B9NY499tg4%2BeST44Mf/OCkumCL2Vyv51Ixk3VqGB4ejttvvz327t0bZ511Vstj3nezu55LyWysVURErVaLiIhjjjmmZT61995i4l8CScCePXsiIuL4449vmT/%2B%2BOPjr3/9a8fnnXnmmfGNb3wjXvziF8cTTzwRn/rUp%2BJVr3pVPPzww7F27do5rbko012r22%2B/PXbu3BkDAwMdz7n00ktj48aNsW7duvjd734XH/3oR%2BO3v/1tbNu2bXaKX4Dmcj2XkumuU0TEQw89FGeddVYcOHAg1qxZE3feeWf09fWNPu59N2Y21nOpmclaNWRZFu9///vj1a9%2BdZxyyimj8ym%2B9xYTHcAl6NZbb401a9aMjsOHD0dERKlUajkvy7Jxc83OP//8ePOb3xynnnpqnHvuuXH33XdHRMTXv/71uSt%2Bns3GWu3atSuuueaa%2BOY3vxk9PT0dX%2Btd73pXnHvuuXHKKafEJZdcEt/97nfjJz/5SezcuXP2vqGCzed6Lmaz9Wc0IuLEE0%2BM3/zmN7Fjx45473vfG%2B985zvj97///ejj3ndjZmM9F7vZXKuGq666Kh588MG47bbbWuZTeO8tZjqAS9CFF14YZ5555ujxwYMHI2LkSu85z3nO6PyTTz457qpvIqtXr45TTz01HnnkkdkrtmCzsVa/%2BtWv4sknn4wzzjhjdG54eDjuu%2B%2B%2B%2BOIXvxgHDx6M5cuXj3ve6aefHitXroxHHnkkTj/99Nn6lgpV5HouJrP5Z7Srqyte%2BMIXRkTEy1/%2B8hgYGIgbb7yx44ftve9mdz0Xm9n%2B/8PVV18d3//%2B9%2BO%2B%2B%2B6LE044YcJzl%2BJ7bzETAJeg3t7e6O3tHT3OsizWrVsX27Zti5e97GUREXHo0KHYvn17fPrTn5701z148GD84Q9/iNe85jWzXnNRZmOtzjnnnHE/HX3FFVfESSedFNddd13HsPLwww/H4cOHW/7SXeyKXM/FZK7%2BjDa%2BVuN/6u14383uei42s7VWWZbF1VdfHXfeeWfce%2B%2B9sXHjxqO%2B9lJ671Wr1Vi%2BfHls3rw5Nm/eXHQ50zP/P3dCEW644YasUqlkd9xxR/bQQw9lb3vb27LnPOc5Wb1eHz3n9a9/ffaFL3xh9PgDH/hAdu%2B992aPPvpotmPHjuyNb3xj1tvbmz3%2B%2BONFfAvzZjprlZf/6bc///nP2Sc/%2BclsYGAge%2Byxx7K77747O%2Bmkk7KXvexl2dDQ0Jx%2BP0Wbi/VciqazTh/96Eez%2B%2B67L3vssceyBx98MPvYxz6WLVu2LLvnnnuyLPO%2Bm%2B31XKqms1bvfe97s0qlkt17773Z7t27R8e%2BffuyLFu6772l9FPAOoCJ%2BPCHPxz79%2B%2BPK6%2B8Mv7zn//EmWeeGffcc0/LleBf/vKXeOqpp0aP//73v8fb3va2eOqpp%2BLZz352vPKVr4wdO3bE85///CK%2BhXkznbU6mq6urvjpT38aN954Yzz99NOxYcOGuOCCC2LLli1LoqM1kblYz6VoOuv0xBNPxGWXXRa7d%2B%2BOSqUSp512WvzoRz%2BK8847LyK872Z7PZeq6azVzTffHBEjv%2By52de%2B9rW4/PLLk37vLRalLMuyoosAAFjo6vV6VCqVqNVqUS6Xiy5nRvwUMABAYgRAAIDECIAAAIkRAAEAEiMAAgAkRgAEAEiMAAgAkBgBEAAgMQIgAEBiBEAAgMQIgAAAiREAAQASIwACACRGAAQAmIJqtRp9fX3R399fdCnTVsqyLCu6CACAha5er0elUolarRblcrnocmZEBxAAIDECIABAYgRAAIDECIAAAIkRAAEAEiMAAgAkRgAEAEiMAAgAkBgBEAAgMQIgAEBiBEAAgMQIgAAAiREAAQASIwACACRGAAQASIwACACQGAEQAGAKqtVq9PX1RX9/f9GlTFspy7Ks6CIAABa6er0elUolarValMvlosuZER1AAIDECIAAAIkRAAEAEiMAAgAkRgAEAEiMAAgAkBgBEAAgMQIgAEBiBEAAgMQIgAAAiREAAQASIwACAMyxw4cPx3XXXRennnpqrF69OtavXx/veMc74p///Gch9QiAAABzbN%2B%2BfbFz5874xCc%2BETt37ow77rgj/vSnP8WFF15YSD2lLMuyQl4ZAGARqdfrUalUolarRblcnvHXGxgYiFe84hXx17/%2BNZ73vOfNQoWTpwMIAFCAWq0WpVIpnvnMZ877a6%2BY91cEAFjE6vV6y3F3d3d0d3dP6WscOHAgPvKRj8Tb3/72WekmTpUOIADAFGzYsCEqlcro2Lp167hzbr311lizZs3ouP/%2B%2B0cfO3z4cFxyySVx5MiRuOmmm%2Baz9FE%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%2B/qJLmbZSlmVZ0UUAACx09Xo9KpVK1Gq1KJfLRZczIzqAAACJEQABABIjAAIAJEYABABIjAAIAJAYARAAIDECIABAYgRAAIDECIAAAIkRAAEAEiMAAgAkRgAEAEiMAAgAkBgBEAAgMQIgAEBiBEAAgMQIgAAAU1CtVqOvry/6%2B/uLLmXaSlmWZUUXAQCw0NXr9ahUKlGr1aJcLhddzozoAAIAJEYABABIjAAIAJAYARAAIDECIABAYgRAAIDECIAAAIkRAAEAEiMAAgAkRgAEAEjMiqILABaXLIs4ciRieHhkDA2NjMZ%2BY7758fxc8/Pzc82PNc9NNNqd06izeb95rnHc/NhkRmMNOu03r1On9csrlTrPTbTN7x9tLFs2tm3sd5pv7E92LF8%2BMpqP89v8/mTGihUjo/m4sW3UCkydAAhzKMtGwsmhQxEHD0YcPjyy3xjtjhsjP9fYHxpqPW6ey%2B83jvOPN492c/nRHPSGhopeVRjTHBKbw2J%2BbuXKyR03b/P7%2Bbmurtb5/HFjrjHfbr/dY0It80EAZMk4cmQkFB04MDIOHhzb5vfbHbcbjeDWbr8xmo/b7aemuVuT79p06v5MpmN0tO5T83G7bla%2Bq9U8n%2B%2BEdRoR7Y%2Bb55vn8vuT0a6LOJnO49FGu05op23zfqO7mu%2Be5ruvzV3YyXR08x3ifFe4%2BeJjIo3zDx6c2jovZPmA2NUV0d09/rgx127b/HhPz/j97u6R/cb5jfmenvHn9PSM/Bljdr373e%2BOW265JT73uc/FtddeO%2B%2BvLwAy6w4fjti/f/w4cKD9XGM%2Bv9881zz27x8LcM1jsYStfGegXQcg31Fo11noNNp1L5q7HPnOR7tuyNE6Kvlbcc235GC2NcJh/qMGnTrU%2Bfl8l7vT8UTbQ4fGd9fzHft2c/kufrvOf17j/L1753%2BtO1m%2BfCwMNofEVavG769aNRYeG3ON/eZz2s3lR0/P0uyI3nXXXfGLX/wi1q9fX1gNAmAismwkJO3bNzL27h3b7zT27x%2B/3whu%2BbnG9sCBhXGLsFRqvQrOX9FOdAXc7iq605V2u6vz/GP5oLcU/zKDudTo2q5cWXQlsy/LRv7ObA6G%2BbsM%2BZG/K5HfNvYbdzka840L5XZ3P9rdNWnuvg4Pj/x/o4hQ2tMT8YxnjAXCxn5%2B29j/r/%2BKOOec%2Ba9zsv7xj3/EVVddFT/%2B8Y/jggsuKKwOAXABaVzxPf1063ai0Qhz%2BeN8yCvqSrLdVV2nK8FO%2B%2B2uMNtdiTbvd3UJWsDCVyqNdeYXmqGh8Xdb2t19yd%2BhmWiu0x2h/HFz%2BGw8d7LWr5/7AFiv11uOu7u7o7u7%2B6jPO3LkSFx22WXxoQ99KE4%2B%2BeS5Km9SBMB58H//F/G//9sa7NrtHz48P/V0dY1cJR1tNK6mOl1t5a%2B6UmndA6Sg8ZGP1avn/7U7fZRoMnejXvnKua9vw4YNLcdbtmyJ66%2B//qjP%2B/SnPx0rVqyI973vfXNU2eQJgPPgd7%2BL%2BJ//mfz5jT9wa9aMbI82nvGM8fvtto19H%2BYFYCFrdEXL5aIraW/Xrl1RbiquXffv1ltvjXe/%2B92jx3fffXfceOONsXPnzigtgO5IKcs6/bYqZsuOHRE/%2B9lYoOvtbQ14%2BW1XV9EVAwB59Xo9KpVK1Gq1lgDYzuDgYDzxxBOjx9/5znfi4x//eCxr%2Bmm54eHhWLZsWWzYsCEef/zxuSq7LQEQAGASphIA8/7973/H7t27W%2Bbe8IY3xGWXXRZXXHFFnHjiibNZ6lG5BQwAMMfWrl0ba9eubZlbuXJlrFu3bt7DX4R/CxgAIDk6gAAABZjvz/010wEEAEiMAAgAkBgBEAAgMQIgAEBiBEAAgMQIgAAAiREAAQASIwACACRGAAQASIwACACQGAEQACAxAiAAwBRUq9Xo6%2BuL/v7%2BokuZtlKWZVnRRQAALHT1ej0qlUrUarUol8tFlzMjOoAAAIkRAAEAEiMAAgAkRgAEAEiMAAgAkBgBEAAgMQIgAEBiBEAAgMQIgAAAiREAAQASIwACACRGAAQASIwACACQGAEQACAxAiAAQGIEQACAxAiAAABTUK1Wo6%2BvL/r7%2B4suZdpKWZZlRRcBALDQ1ev1qFQqUavVolwuF13OjOgAAgAkRgcQAGASsiyLwcHB6O3tjVKpVHQ5MyIAAgAkxi1gAIDECIAAAIkRAAEAEiMAAgAkRgAEAEiMAAgAkBgBEAAgMQIgAEBiBEAAgMQIgAAAiREAAQASIwACACRGAAQASIwACACQGAEQACAxAiAAQGIEQACAxAiAAACJEQABABIjAAIAJEYABABIjAAIAJAYARAAIDECIABAYgRAAIDECIAAAIkRAAEAEiMAAgAkRgAEAEiMAAgAkBgBEAAgMQIgAEBiBEAAgMQIgAAAiRHrV1rKAAAAV0lEQVQAAQASIwACACRGAAQASIwACACQGAEQACAxAiAAQGIEQACAxAiAAACJEQABABIjAAIAJEYABABIjAAIAJAYARAAIDECIABAYgRAAIDECIAAAIn5f7ouTfl9nr89AAAAAElFTkSuQmCC'}