Embedded newform data - 2254.4.a.l.1.3

Formats: - HTML - YAML - JSON - 2025-07-19T06:29:03.076758+00:00

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 36064, 'analytic_conductor': 132.99030515293936, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [7, -1], [23, -1]], 'atkin_lehner_string': '---', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2254, 1, [1473, 1569], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 5, 'field_disc': 276661507156, 'field_disc_factorization': [[2, 2], [3347, 1], [3919, 1], [5273, 1]], 'field_poly': [-1782, 1593, -28, -92, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-308, 1266, -294, -82, 5, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539595968186574, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2254.4.a.l', 'level': 2254, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 23], 'level_radical': 322, 'minimal_twist': '322.4.a.h', 'prim_orbit_index': 1, 'qexp_display': 'q+2q^{2}+(-1+\\beta _{1})q^{3}+4q^{4}+(-4+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2254.4.a', 'trace_display': [10, -5, -22, 0], 'trace_hash': 1095458670084631859, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.887', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '65.430', 'prec': 20}, {'__RealLiteral__': 0, 'data': '3.105', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1382.093', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [5, 10, -5, 20, -22, -10, 0, 40, 54, -44, 42, -20, -107, 0, 122, 80, -218, 108, -194, -88, 0, 84, 115, -40, 219, -214, -203, 0, 33, 244, -19, 160, -240, -436, 0, 216, 214, -388, -243, -176, -395, 0, -284, 168, -470, 230, 493, -80, 0, 438, -244, -428, -70, -406, 186, 0, 22, 66, -226, 488, -1606, -38, 0, 320, 362, -480, 298, -872, -115, 0, -969, 432, -697, 428, -1065, -776, 0, -486, 186, -352, -335, -790, 1104, 0, -1344, -568, 1603, 336, 814, -940, 0, 460, -3423, 986, -2812, -160, 256, 0, -2616, 876, 790, -488, 648, -856, 0, -140, 1170, -812, 64, 372, 326, 0, -2476, 44, -506, 132, 2006, -452, 0, 976, 1373, -3212, -4487, -76, -1026, 0, -831, 640, 1732, 724, 1205, -960, 0, 596, -2390, -1744, 1580, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.12862588501958266, -0.22163252623967292, -0.24802220331792166, -0.10038571296862962, -0.38534096938000933, -0.24499031498043602, -0.4013896253772245, -0.4321638680536552, -0.3021866240129727, -0.3665108221013363, -0.2388503343449647, -0.2527241029572727, -0.3663629395348527, -0.16742036306907518, -0.25816520774782964, -0.356110568901957, -0.2707491628092302, -0.3136930848591051], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': 1.2601199784944586, 'hecke_orbit': 12, 'hecke_orbit_code': 49539595968186574, 'label': '2254.4.a.l.1.3', 'level': 2254, 'weight': 4}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [29, 25, 28, 31, 27, 31, 29, 26], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [4, 4, 4, 4, 4, 4, 4, 4], 'ALdims_old': [103, 91, 88, 101, 101, 89, 91, 102], 'Nk2': 36064, 'analytic_conductor': 132.99030515293936, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2254, 1, [1473, 1569], [1, 1]], 'conrey_index': 1, 'cusp_dim': 992, 'dim': 226, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 67111118, 'hecke_orbit_dims': [1, 1, 2, 2, 2, 2, 2, 3, 3, 4, 5, 5, 6, 6, 8, 8, 10, 11, 11, 11, 11, 11, 11, 11, 11, 14, 16, 18, 20], 'label': '2254.4.a', 'level': 2254, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 23], 'level_radical': 322, 'mf_dim': 1024, 'mf_new_dim': 226, 'num_forms': 29, 'plus_dim': 120, 'prim_orbit_index': 1, 'relative_dim': 226, 'sturm_bound': 1344, 'trace_bound': 5, 'trace_display': [0, 4, -10, 0], 'traces': [226, 0, 4, 904, -10, -32, 0, 0, 1998, 28, -66, 16, 36, 0, -4, 3616, -172, -128, 142, -40, 0, 260, 0, -128, 5410, -120, 4, 0, 612, 144, 636, 0, -308, -520, 0, 7992, 2030, 60, 2124, 112, -492, 0, 866, -264, 730, 92, 676, 64, 0, 1384, 2284, 144, 1858, -992, 1552, 0, 1096, -520, 764, -16, -546, 1200, 0, 14464, -376, -608, -4174, -688, -276, 0, 676, -512, -1676, -2452, 1700, 568, 0, -2848, -5788, -160, 18274, -376, -510, 0, -2004, -1692, 3348, 1040, 4316, 4300, 0, 0, -10236, 1440, -4128, -512, -972, 0, 1978, 21640, -4104, 2832, 1548, -480, 0, -1140, 10550, 16, -10450, -7200, -2748, 0, -4440, -2528, -230, 2448, -472, -1496, 0, 576, 24598, 3188, 11804, 2544, 10668, 0, -14124, 0, 2672, -8328, 2104, -1232, 0, -660, 1852, -2080, 6360, -552, -2672, 0, 12396, -1264, 7960, 31968, -3448, -3432, 0, 8120, -7774, -7088, 12316, 240, -4216, 0, 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-180560, -79550, -11440, -7728, -41216, 0, 33984, 52582, -21928, -4296, 11176, -54564, 0, -32096, 5088, -62008, 14344, 91364, 17440, 0, 74376, -10992, 1792, 84616, -39840, 18038, 0, -24120, 109496, -40228, -26752, 25208, -63160, 0, 24736, 70976, -117216, -81956, -7872, -93552, 0, -25598, 53888, -49714, 127728, -207988, 14576, 0, -91700, 16468, 18880, -106664, 20672, -23352, 0, -142524, -212352, 23604, 115720, 85234, -10384, 0, -16544, -89316, -23728, -144796, 36792, 64180, 0, -24744, 13856, 164532, 28336, -45012, -19024, 0, -114984, -16820, -1280, -43044, 119568, 10540, 0, -122070, -35552, -85352, -4224, -59908, -54720, 0, -64032, -21770, -16240, -324348, -10368, -17112, 0, -29952, 256, -92708, 10392, 17816, 11680, 0, -19704, -56300, -18872, 237476, 75264, 176360, 0, 530898, -60424, 69652, 31616, 117582, 18728, 0, 1472, 85980, 44776, -262840, -1328, -9992, 0, 352324, 2112, 14852, -76100, -183026, -19056, 0, 66080, -267016, 10816, 133516, -109024, -154500, 0, 52338, -36692, 33580, 13312, -23448, -157248, 0, 57984, -2540, -20256, 43640, 1024, 250044, 0, -66388, -117792, -132066, -136204, 355228, -12128, 0, -270556, 178636, 23248, 229284, -14720, 2748, 0, 116740, 69440, 15778, 53712, -5888, -48432, 0, -19952, -253916, -17880, 107824, 29792, 53126, 0, 4204, 22144, 120868, -196024, 56712, 32496, 0, 59840, -16908, -3488, -178612, 117692, 66024, 0, 83280, 35808, 24524, 36544, 45340, -2944, 0, 26816, -87460, 99424, -129124, 28160, -45260, 0, -303594, 20608, 61492, 39136, 90732, 2304, 0, 62656, 186280, 2064, -179028, 41500, 29164, 0, 75898, 30828, -211084, -9344, 186566, 126592, 0, 29728, -242812, -1480, 10902, -57008, 84760, 0, 20528, -28816, 57800, -163632, -2580, 28512, 0, -132712, -46996, -15872, -161636, -3224, -103868, 0, -62072, -201184, -42160, -80880, -134176, -18676, 0, -226032, 51200, 27424, -82728, 24832, -172104, 0, -146200, -33328, 239824, 259144, 32108, 40896, 0, -71240, -329698, 57216, 88000, 177344, -104388, 0, -10488, 206104, -129300, 118072, -60108, 76328, 0, 38272, 274740, 118432, -72926, -99752, -19608, 0, 61236, 17536, -62308, 58040, -494696, -10888, 0, 63904, 31072, -9200, 358864, -114432, -217188, 0, 75442, -64896, -62080, -8320, -200484, 168896, 0, -34624, 322940, -62500, -276784, -34144, 43552, 0, 212400, -38704, -69714, 178016, -16836, 12224, 0, 82408, 211808, -73248, 131972, 191956, 5328, 0, 79272, -113492, 33064, -46896, 172860, 65488, 0, -256, 392518, 28616, 186030, -46064, -28128, 0, -154132, -77920, 88824, -548072, 7242, -9632, 0, 57120, 200292, -8736, 85748, -135712, -372756, 0, -796586, 126664, -106260, 27072, -206296, 142752, 0, -136656, 27830, 45920, 241328, 19200, -271380, 0, -58416, 91280, 156924, -47224, -4452, 10464], 'weight': 4, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 47359197
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539595968186574, 'source_is_minimal': False, 'source_label': '2254.4.a.l.1.3', 'source_level': 2254, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 49539595968186574, 'target_is_minimal': False, 'target_label': '2254.4.a.l.1.3', 'target_level': 2254, 'twist_class_label': '322.4.a.h.1.3', 'twist_class_level': 322, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 47359198
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539595968186574, 'source_is_minimal': False, 'source_label': '2254.4.a.l.1.3', 'source_level': 2254, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 31525197458702658, 'target_is_minimal': True, 'target_label': '322.4.a.h.1.3', 'target_level': 322, 'twist_class_label': '322.4.a.h.1.3', 'twist_class_level': 322, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2525800
    {'charpoly_factorization': [[[-2, 1], 5]], 'hecke_orbit_code': 49539595968186574, 'p': 2}
  • id: 2525801
    {'charpoly_factorization': [[[-308, 1266, -294, -82, 5, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 3}
  • id: 2525802
    {'charpoly_factorization': [[[25936, -13844, -5334, -180, 22, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 5}
  • id: 2525803
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 49539595968186574, 'p': 7}
  • id: 2525804
    {'charpoly_factorization': [[[-45699552, 2317896, 88236, -3132, -42, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 11}
  • id: 2525805
    {'charpoly_factorization': [[[-12193328, -1398384, -11336, 3084, 107, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 13}
  • id: 2525806
    {'charpoly_factorization': [[[-397516032, -40686984, -583326, 9152, 218, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 17}
  • id: 2525807
    {'charpoly_factorization': [[[-1463912448, -102241024, -2016256, -2688, 194, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 19}
  • id: 2525808
    {'charpoly_factorization': [[[-23, 1], 5]], 'hecke_orbit_code': 49539595968186574, 'p': 23}
  • id: 2525809
    {'charpoly_factorization': [[[-7111896936, 169678724, 1983652, -41716, -33, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 29}
  • id: 2525810
    {'charpoly_factorization': [[[-2926575828, 487505706, 1553914, -86508, 19, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 31}
  • id: 2525811
    {'charpoly_factorization': [[[-397708480224, 4103752752, 23495568, -166096, -214, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 37}
  • id: 2525812
    {'charpoly_factorization': [[[106493094736, 1564479872, -22599360, -72708, 395, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 41}
  • id: 2525813
    {'charpoly_factorization': [[[21785240064, -49176512, -72672176, -227080, 284, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 43}
  • id: 2525814
    {'charpoly_factorization': [[[-462685828948, 240920454, 57712690, -117620, -493, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 47}
  • id: 2525815
    {'charpoly_factorization': [[[-19250018178336, 100101485136, 37163824, -634136, 70, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 53}
  • id: 2525816
    {'charpoly_factorization': [[[508399233312, -27766365340, -240075338, -491340, 226, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 59}
  • id: 2525817
    {'charpoly_factorization': [[[-26399711613344, -202799993228, -310333562, 527488, 1606, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 61}
  • id: 2525818
    {'charpoly_factorization': [[[-3215830804704, -4269056744, 155596748, -352812, -298, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 67}
  • id: 2525819
    {'charpoly_factorization': [[[-11314691334144, 156417725056, -340622688, -529008, 969, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 71}
  • id: 2525820
    {'charpoly_factorization': [[[-50769080496, 5127140784, -117237632, -314460, 697, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 73}
  • id: 2525821
    {'charpoly_factorization': [[[-126397213520256, 457449120792, 485067300, -1755404, -186, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 79}
  • id: 2525822
    {'charpoly_factorization': [[[-152986734123776, 213975529600, 904982320, -945592, -1104, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 83}
  • id: 2525823
    {'charpoly_factorization': [[[-7266574196256, 46182826592, 503315738, -675084, -814, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 89}
  • id: 2525824
    {'charpoly_factorization': [[[-32250389900736, 210305944648, 454933022, -1454116, -256, 1], 1]], 'hecke_orbit_code': 49539595968186574, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 12, 'label': '2254.4.a.l', 'level': 2254, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 56696251
    {'hecke_orbit_code': 49539595968186574, 'n': 1, 'trace_an': 5}
  • id: 56696252
    {'hecke_orbit_code': 49539595968186574, 'n': 2, 'trace_an': 10}
  • id: 56696253
    {'hecke_orbit_code': 49539595968186574, 'n': 3, 'trace_an': -5}
  • id: 56696254
    {'hecke_orbit_code': 49539595968186574, 'n': 4, 'trace_an': 20}
  • id: 56696255
    {'hecke_orbit_code': 49539595968186574, 'n': 5, 'trace_an': -22}
  • id: 56696256
    {'hecke_orbit_code': 49539595968186574, 'n': 6, 'trace_an': -10}
  • id: 56696257
    {'hecke_orbit_code': 49539595968186574, 'n': 7, 'trace_an': 0}
  • id: 56696258
    {'hecke_orbit_code': 49539595968186574, 'n': 8, 'trace_an': 40}
  • id: 56696259
    {'hecke_orbit_code': 49539595968186574, 'n': 9, 'trace_an': 54}
  • id: 56696260
    {'hecke_orbit_code': 49539595968186574, 'n': 10, 'trace_an': -44}
  • id: 56696261
    {'hecke_orbit_code': 49539595968186574, 'n': 11, 'trace_an': 42}
  • id: 56696262
    {'hecke_orbit_code': 49539595968186574, 'n': 12, 'trace_an': -20}
  • id: 56696263
    {'hecke_orbit_code': 49539595968186574, 'n': 13, 'trace_an': -107}
  • id: 56696264
    {'hecke_orbit_code': 49539595968186574, 'n': 14, 'trace_an': 0}
  • id: 56696265
    {'hecke_orbit_code': 49539595968186574, 'n': 15, 'trace_an': 122}
  • id: 56696266
    {'hecke_orbit_code': 49539595968186574, 'n': 16, 'trace_an': 80}
  • id: 56696267
    {'hecke_orbit_code': 49539595968186574, 'n': 17, 'trace_an': -218}
  • id: 56696268
    {'hecke_orbit_code': 49539595968186574, 'n': 18, 'trace_an': 108}
  • id: 56696269
    {'hecke_orbit_code': 49539595968186574, 'n': 19, 'trace_an': -194}
  • id: 56696270
    {'hecke_orbit_code': 49539595968186574, 'n': 20, 'trace_an': -88}
  • id: 56696271
    {'hecke_orbit_code': 49539595968186574, 'n': 21, 'trace_an': 0}
  • id: 56696272
    {'hecke_orbit_code': 49539595968186574, 'n': 22, 'trace_an': 84}
  • id: 56696273
    {'hecke_orbit_code': 49539595968186574, 'n': 23, 'trace_an': 115}
  • id: 56696274
    {'hecke_orbit_code': 49539595968186574, 'n': 24, 'trace_an': -40}
  • id: 56696275
    {'hecke_orbit_code': 49539595968186574, 'n': 25, 'trace_an': 219}
  • id: 56696276
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  • id: 56696277
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  • id: 56696278
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  • id: 56696279
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  • id: 56696280
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  • id: 56696281
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  • id: 56696282
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  • id: 56696283
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  • id: 56696284
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  • id: 56696285
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  • id: 56696286
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  • id: 56696287
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  • id: 56696288
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  • id: 56696289
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  • id: 56696290
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  • id: 56696291
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  • id: 56696292
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  • id: 56696293
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  • id: 56696294
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  • id: 56696295
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  • id: 56696296
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  • id: 56696297
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  • id: 56696298
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  • id: 56696299
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  • id: 56696300
    {'hecke_orbit_code': 49539595968186574, 'n': 50, 'trace_an': 438}
  • id: 56696301
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  • id: 56696302
    {'hecke_orbit_code': 49539595968186574, 'n': 52, 'trace_an': -428}
  • id: 56696303
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  • id: 56696304
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  • id: 56696305
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  • id: 56696306
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  • id: 56696307
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  • id: 56696308
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  • id: 56696309
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  • id: 56696310
    {'hecke_orbit_code': 49539595968186574, 'n': 60, 'trace_an': 488}
  • id: 56696311
    {'hecke_orbit_code': 49539595968186574, 'n': 61, 'trace_an': -1606}
  • id: 56696312
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  • id: 56696313
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  • id: 56696314
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  • id: 56696315
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  • id: 56696316
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  • id: 56696317
    {'hecke_orbit_code': 49539595968186574, 'n': 67, 'trace_an': 298}
  • id: 56696318
    {'hecke_orbit_code': 49539595968186574, 'n': 68, 'trace_an': -872}
  • id: 56696319
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  • id: 56696320
    {'hecke_orbit_code': 49539595968186574, 'n': 70, 'trace_an': 0}
  • id: 56696321
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  • id: 56696322
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  • id: 56696323
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  • id: 56696324
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  • id: 56696325
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  • id: 56696326
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  • id: 56696327
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  • id: 56696328
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  • id: 56696329
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  • id: 56696330
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  • id: 56696331
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  • id: 56696332
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  • id: 56696333
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  • id: 56696334
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  • id: 56696335
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  • id: 56696336
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  • id: 56696337
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  • id: 56696338
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  • id: 56696339
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  • id: 56696340
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  • id: 56696341
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  • id: 56696342
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  • id: 56696343
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  • id: 56696344
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  • id: 56696345
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  • id: 56696346
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  • id: 56696347
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  • id: 56696348
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  • id: 56696349
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  • id: 56696350
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  • id: 56696351
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  • id: 56696352
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  • id: 56696353
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  • id: 56696354
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  • id: 56696355
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  • id: 56696356
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  • id: 56696357
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  • id: 56696358
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  • id: 56696359
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  • id: 56696360
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  • id: 56696361
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  • id: 56696362
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  • id: 56696363
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  • id: 56696364
    {'hecke_orbit_code': 49539595968186574, 'n': 151, 'trace_an': -593}
  • id: 56696365
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  • id: 56696366
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  • id: 56696367
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  • id: 56696368
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  • id: 56696369
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  • id: 56696370
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  • id: 56696371
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  • id: 56696372
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  • id: 56696373
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  • id: 56696374
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  • id: 56696375
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  • id: 56696376
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  • id: 56696377
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  • id: 56696378
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  • id: 56696379
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  • id: 56696380
    {'hecke_orbit_code': 49539595968186574, 'n': 233, 'trace_an': 6411}
  • id: 56696381
    {'hecke_orbit_code': 49539595968186574, 'n': 239, 'trace_an': -12321}
  • id: 56696382
    {'hecke_orbit_code': 49539595968186574, 'n': 241, 'trace_an': -8996}
  • id: 56696383
    {'hecke_orbit_code': 49539595968186574, 'n': 243, 'trace_an': 8154}
  • id: 56696384
    {'hecke_orbit_code': 49539595968186574, 'n': 251, 'trace_an': -1120}
  • id: 56696385
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  • id: 56696386
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  • id: 56696387
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  • id: 56696388
    {'hecke_orbit_code': 49539595968186574, 'n': 269, 'trace_an': -3861}
  • id: 56696389
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  • id: 56696390
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  • id: 56696391
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  • id: 56696392
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  • id: 56696393
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  • id: 56696394
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  • id: 56696395
    {'hecke_orbit_code': 49539595968186574, 'n': 307, 'trace_an': -1792}
  • id: 56696396
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  • id: 56696397
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  • id: 56696398
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  • id: 56696399
    {'hecke_orbit_code': 49539595968186574, 'n': 331, 'trace_an': -21839}
  • id: 56696400
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  • id: 56696401
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  • id: 56696402
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  • id: 56696403
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  • id: 56696404
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  • id: 56696405
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  • id: 56696406
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  • id: 56696407
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  • id: 56696408
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  • id: 56696409
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  • id: 56696410
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  • id: 56696411
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  • id: 56696412
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  • id: 56696413
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  • id: 56696414
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  • id: 56696415
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  • id: 56696416
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  • id: 56696417
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  • id: 56696418
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  • id: 56696419
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  • id: 56696420
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  • id: 56696421
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  • id: 56696422
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  • id: 56696423
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  • id: 56696424
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  • id: 56696425
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  • id: 56696426
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  • id: 56696427
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  • id: 56696428
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  • id: 56696429
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  • id: 56696430
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  • id: 56696431
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  • id: 56696432
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  • id: 56696433
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  • id: 56696434
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  • id: 56696435
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  • id: 56696436
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  • id: 56696437
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  • id: 56696438
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  • id: 56696439
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  • id: 56696440
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  • id: 56696441
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  • id: 56696442
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  • id: 56696443
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  • id: 56696444
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  • id: 56696445
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  • id: 56696446
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  • id: 56696447
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  • id: 56696448
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  • id: 56696449
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  • id: 56696450
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  • id: 56696451
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  • id: 56696452
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  • id: 56696453
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  • id: 56696454
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  • id: 56696455
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  • id: 56696456
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  • id: 56696457
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  • id: 56696458
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  • id: 56696459
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  • id: 56696460
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  • id: 56696461
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  • id: 56696462
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  • id: 56696463
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  • id: 56696464
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  • id: 56696465
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  • id: 56696466
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  • id: 56696467
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  • id: 56696468
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  • id: 56696469
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  • id: 56696470
    {'hecke_orbit_code': 49539595968186574, 'n': 743, 'trace_an': 82564}
  • id: 56696471
    {'hecke_orbit_code': 49539595968186574, 'n': 751, 'trace_an': -29648}
  • id: 56696472
    {'hecke_orbit_code': 49539595968186574, 'n': 757, 'trace_an': 7546}
  • id: 56696473
    {'hecke_orbit_code': 49539595968186574, 'n': 761, 'trace_an': -19917}
  • id: 56696474
    {'hecke_orbit_code': 49539595968186574, 'n': 769, 'trace_an': 18576}
  • id: 56696475
    {'hecke_orbit_code': 49539595968186574, 'n': 773, 'trace_an': -83330}
  • id: 56696476
    {'hecke_orbit_code': 49539595968186574, 'n': 787, 'trace_an': 81540}
  • id: 56696477
    {'hecke_orbit_code': 49539595968186574, 'n': 797, 'trace_an': 127096}
  • id: 56696478
    {'hecke_orbit_code': 49539595968186574, 'n': 809, 'trace_an': -72182}
  • id: 56696479
    {'hecke_orbit_code': 49539595968186574, 'n': 811, 'trace_an': -76967}
  • id: 56696480
    {'hecke_orbit_code': 49539595968186574, 'n': 821, 'trace_an': -83442}
  • id: 56696481
    {'hecke_orbit_code': 49539595968186574, 'n': 823, 'trace_an': -46665}
  • id: 56696482
    {'hecke_orbit_code': 49539595968186574, 'n': 827, 'trace_an': 27360}
  • id: 56696483
    {'hecke_orbit_code': 49539595968186574, 'n': 829, 'trace_an': 41130}
  • id: 56696484
    {'hecke_orbit_code': 49539595968186574, 'n': 839, 'trace_an': 70268}
  • id: 56696485
    {'hecke_orbit_code': 49539595968186574, 'n': 841, 'trace_an': -37424}
  • id: 56696486
    {'hecke_orbit_code': 49539595968186574, 'n': 853, 'trace_an': 21814}
  • id: 56696487
    {'hecke_orbit_code': 49539595968186574, 'n': 857, 'trace_an': -22383}
  • id: 56696488
    {'hecke_orbit_code': 49539595968186574, 'n': 859, 'trace_an': -6193}
  • id: 56696489
    {'hecke_orbit_code': 49539595968186574, 'n': 863, 'trace_an': 14801}
  • id: 56696490
    {'hecke_orbit_code': 49539595968186574, 'n': 877, 'trace_an': 10050}
  • id: 56696491
    {'hecke_orbit_code': 49539595968186574, 'n': 881, 'trace_an': -24050}
  • id: 56696492
    {'hecke_orbit_code': 49539595968186574, 'n': 883, 'trace_an': -26732}
  • id: 56696493
    {'hecke_orbit_code': 49539595968186574, 'n': 887, 'trace_an': 42995}
  • id: 56696494
    {'hecke_orbit_code': 49539595968186574, 'n': 907, 'trace_an': -6786}
  • id: 56696495
    {'hecke_orbit_code': 49539595968186574, 'n': 911, 'trace_an': -39246}
  • id: 56696496
    {'hecke_orbit_code': 49539595968186574, 'n': 919, 'trace_an': 23748}
  • id: 56696497
    {'hecke_orbit_code': 49539595968186574, 'n': 929, 'trace_an': -40323}
  • id: 56696498
    {'hecke_orbit_code': 49539595968186574, 'n': 937, 'trace_an': 103340}
  • id: 56696499
    {'hecke_orbit_code': 49539595968186574, 'n': 941, 'trace_an': -57362}
  • id: 56696500
    {'hecke_orbit_code': 49539595968186574, 'n': 947, 'trace_an': -19941}
  • id: 56696501
    {'hecke_orbit_code': 49539595968186574, 'n': 953, 'trace_an': 14434}
  • id: 56696502
    {'hecke_orbit_code': 49539595968186574, 'n': 961, 'trace_an': 24422}
  • id: 56696503
    {'hecke_orbit_code': 49539595968186574, 'n': 967, 'trace_an': -66139}
  • id: 56696504
    {'hecke_orbit_code': 49539595968186574, 'n': 971, 'trace_an': -11186}
  • id: 56696505
    {'hecke_orbit_code': 49539595968186574, 'n': 977, 'trace_an': -45418}
  • id: 56696506
    {'hecke_orbit_code': 49539595968186574, 'n': 983, 'trace_an': -2142}
  • id: 56696507
    {'hecke_orbit_code': 49539595968186574, 'n': 991, 'trace_an': 67588}
  • id: 56696508
    {'hecke_orbit_code': 49539595968186574, 'n': 997, 'trace_an': -41806}