Embedded newform data - 507.4.a.e.1.1

Formats: - HTML - YAML - JSON - 2024-04-18T18:19:34.635483

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 8112, 'analytic_conductor': 29.913968372910492, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [13, 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': [507, 1, [170, 340], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [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': [[2, [-3, 1]], [5, [9, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014398576591355, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '507.4.a.e', 'level': 507, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 13], 'level_radical': 39, 'minimal_twist': '39.4.e.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3q^{2}+3q^{3}+q^{4}-9q^{5}+9q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '507.4.a', 'trace_display': [3, 3, -9, 2], 'trace_hash': 1003050099709665286, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.946', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.841', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.086', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.555', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [1, 3, 3, 1, -9, 9, 2, -21, 9, -27, 30, 3, 0, 6, -27, -71, -111, 27, -46, -9, 6, 90, -6, -63, -44, 0, 27, 2, -105, -81, -100, -45, 90, -333, -18, 9, 17, -138, 0, 189, -231, 18, -514, 30, -81, -18, -162, -213, -339, -132, -333, 0, 639, 81, -270, -42, -138, -315, 600, -27, 233, -300, 18, 433, 0, 270, 926, -111, -18, -54, -930, -189, -253, 51, -132, -46, 60, 0, -1324, 639, 81, -693, 810, 6, 999, -1542, -315, -630, 498, -243, 0, -6, -300, -486, 414, -135, 1358, -1017, 270, -44, -357, -999, 1118, 0, -54, 1917, 714, 27, 2006, -810, 51, -142, -1119, -414, 54, -105, 0, 1800, -222, 567, -431, 699, -693, -100, 1521, 54, -604, 1659, -1542, 0, -1584, 90, -92, 2778, -243, 2331, 717, -54, -820, -18, -486, -2790, 0, -639, 945, -759, -1017, 17, -1749, -396, -370, 966, -999, 180, 900, 0, -2611, -3972, 1917, 405, -12, 243, -1636, -231, -810, 2430, 264, -126, 0, 2997, -414, -514, 1410, -945, -88, -2130, 1800, 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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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-0.25432915552918545, -0.3045662739372355, -0.2967754347289667, -0.24398771208900474, -0.32250243595009115, -0.43251611669066825, -0.2904429051016231, -0.09472488721033702, -0.13485871068478644, -0.21068325705412272, -0.0900244608415686, -0.3916951079945085, -0.2825049707297819, -0.44590665690667614, -0.1600433707428699, -0.20208006202294912, -0.12417959916276464, -0.27813458768041055, -0.16020169196770745, -0.19773053826505646, -0.07830891917970445, -0.32711340096106717, -0.28383749903621774, -0.3385709581215985, -0.21411487395741016, -0.2902457584629055, -0.3298300509709945, -0.2658945633199317, -0.365492974217008, -0.31429381069171675, -0.24025929215518269, -0.19986434685201038, -0.26577612603523226, -0.17360424343642747, -0.1368908530513395, -0.39674629378141557, -0.30846301607644205, -0.3198581190188039, -0.29202868628320117, -0.34756864452872444, -0.282758908664566, -0.13855978493236018, -0.2869815652646797, -0.26280703290141333, -0.20020720075909404, -0.10369497257530151, 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• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[3, -1], [13, -1]], 23, 3], [[[3, -1], [13, 1]], 16, 6], [[[3, 1], [13, -1]], 19, 4], [[[3, 1], [13, 1]], 20, 5]], 'ALdims': [20, 19, 16, 23], 'Nk2': 8112, 'analytic_conductor': 29.913968372910492, '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': [507, 1, [170, 340], [1, 1]], 'conrey_index': 1, 'cusp_dim': 168, 'dim': 78, 'eis_dim': 28, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5], 'hecke_orbit_code': 67109371, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 2, 2, 3, 4, 4, 4, 4, 4, 9, 9, 9, 9, 10], 'label': '507.4.a', 'level': 507, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 13], 'level_radical': 39, 'mf_dim': 196, 'mf_new_dim': 78, 'num_forms': 18, 'plus_dim': 43, 'prim_orbit_index': 1, 'relative_dim': 78, 'sturm_bound': 242, 'trace_bound': 4, 'trace_display': [-4, 0, -16, -32], 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• 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: 44105403
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014398576591355, 'source_is_minimal': False, 'source_label': '507.4.a.e.1.1', 'source_level': 507, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576591355, 'target_is_minimal': False, 'target_label': '507.4.a.e.1.1', 'target_level': 507, 'twist_class_label': '39.4.e.a.16.1', 'twist_class_level': 39, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 44105404
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014398576591355, 'source_is_minimal': False, 'source_label': '507.4.a.e.1.1', 'source_level': 507, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199321851377, 'target_is_minimal': False, 'target_label': '1521.4.a.c.1.1', 'target_level': 1521, 'twist_class_label': '39.4.e.a.16.1', 'twist_class_level': 39, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 44105405
    {'conductor': 13, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014398576591355, 'source_is_minimal': False, 'source_label': '507.4.a.e.1.1', 'source_level': 507, 'target_conrey_index': 22, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 274945015847, 'target_is_minimal': True, 'target_label': '39.4.e.a.22.1', 'target_level': 39, 'twist_class_label': '39.4.e.a.16.1', 'twist_class_level': 39, 'twisting_char_label': '13.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 44105406
    {'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014398576591355, 'source_is_minimal': False, 'source_label': '507.4.a.e.1.1', 'source_level': 507, 'target_conrey_index': 337, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007268041327099, 'target_is_minimal': False, 'target_label': '507.4.b.c.337.1', 'target_level': 507, 'twist_class_label': '39.4.e.a.16.1', 'twist_class_level': 39, 'twisting_char_label': '13.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 44105407
    {'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014398576591355, 'source_is_minimal': False, 'source_label': '507.4.a.e.1.1', 'source_level': 507, 'target_conrey_index': 337, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268041327099, 'target_is_minimal': False, 'target_label': '507.4.b.c.337.2', 'target_level': 507, 'twist_class_label': '39.4.e.a.16.1', 'twist_class_level': 39, 'twisting_char_label': '13.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 44105408
    {'conductor': 13, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014398576591355, 'source_is_minimal': False, 'source_label': '507.4.a.e.1.1', 'source_level': 507, 'target_conrey_index': 16, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 274945015847, 'target_is_minimal': True, 'target_label': '39.4.e.a.16.1', 'target_level': 39, 'twist_class_label': '39.4.e.a.16.1', 'twist_class_level': 39, 'twisting_char_label': '13.9', 'twisting_conrey_index': 9, 'weight': 4}
  • id: 44105409
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014398576591355, 'source_is_minimal': False, 'source_label': '507.4.a.e.1.1', 'source_level': 507, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67109371, 'target_is_minimal': False, 'target_label': '507.4.a.a.1.1', 'target_level': 507, 'twist_class_label': '39.4.e.a.16.1', 'twist_class_level': 39, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 4}
  • id: 44105410
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014398576591355, 'source_is_minimal': False, 'source_label': '507.4.a.e.1.1', 'source_level': 507, 'target_conrey_index': 100, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504012011339893, 'target_is_minimal': False, 'target_label': '117.4.g.b.100.1', 'target_level': 117, 'twist_class_label': '39.4.e.a.16.1', 'twist_class_level': 39, 'twisting_char_label': '39.29', 'twisting_conrey_index': 29, 'weight': 4}
  • id: 44105411
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014398576591355, 'source_is_minimal': False, 'source_label': '507.4.a.e.1.1', 'source_level': 507, 'target_conrey_index': 55, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504012011339893, 'target_is_minimal': False, 'target_label': '117.4.g.b.55.1', 'target_level': 117, 'twist_class_label': '39.4.e.a.16.1', 'twist_class_level': 39, 'twisting_char_label': '39.35', 'twisting_conrey_index': 35, 'weight': 4}
  • id: 44105412
    {'conductor': 39, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014398576591355, 'source_is_minimal': False, 'source_label': '507.4.a.e.1.1', 'source_level': 507, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396713444849, 'target_is_minimal': False, 'target_label': '1521.4.a.j.1.1', 'target_level': 1521, 'twist_class_label': '39.4.e.a.16.1', 'twist_class_level': 39, 'twisting_char_label': '39.38', 'twisting_conrey_index': 38, 'weight': 4}
  • id: 44105413
    {'conductor': 52, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014398576591355, 'source_is_minimal': False, 'source_label': '507.4.a.e.1.1', 'source_level': 507, 'target_conrey_index': 529, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504699206107760, 'target_is_minimal': False, 'target_label': '624.4.q.b.529.1', 'target_level': 624, 'twist_class_label': '39.4.e.a.16.1', 'twist_class_level': 39, 'twisting_char_label': '52.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 44105414
    {'conductor': 52, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014398576591355, 'source_is_minimal': False, 'source_label': '507.4.a.e.1.1', 'source_level': 507, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504699206107760, 'target_is_minimal': False, 'target_label': '624.4.q.b.289.1', 'target_level': 624, 'twist_class_label': '39.4.e.a.16.1', 'twist_class_level': 39, 'twisting_char_label': '52.35', 'twisting_conrey_index': 35, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 981550
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 2}
  • id: 981551
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 3}
  • id: 981552
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 5}
  • id: 981553
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 7}
  • id: 981554
    {'charpoly_factorization': [[[-30, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 11}
  • id: 981555
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 13}
  • id: 981556
    {'charpoly_factorization': [[[111, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 17}
  • id: 981557
    {'charpoly_factorization': [[[46, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 19}
  • id: 981558
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 23}
  • id: 981559
    {'charpoly_factorization': [[[105, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 29}
  • id: 981560
    {'charpoly_factorization': [[[100, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 31}
  • id: 981561
    {'charpoly_factorization': [[[-17, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 37}
  • id: 981562
    {'charpoly_factorization': [[[231, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 41}
  • id: 981563
    {'charpoly_factorization': [[[514, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 43}
  • id: 981564
    {'charpoly_factorization': [[[162, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 47}
  • id: 981565
    {'charpoly_factorization': [[[-639, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 53}
  • id: 981566
    {'charpoly_factorization': [[[-600, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 59}
  • id: 981567
    {'charpoly_factorization': [[[-233, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 61}
  • id: 981568
    {'charpoly_factorization': [[[-926, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 67}
  • id: 981569
    {'charpoly_factorization': [[[930, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 71}
  • id: 981570
    {'charpoly_factorization': [[[253, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 73}
  • id: 981571
    {'charpoly_factorization': [[[1324, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 79}
  • id: 981572
    {'charpoly_factorization': [[[-810, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 83}
  • id: 981573
    {'charpoly_factorization': [[[-498, 1], 1]], 'hecke_orbit_code': 18014398576591355, 'p': 89}
  • id: 981574
    {'charpoly_factorization': [[[-1358, 1], 1]], 'hecke_orbit_code': 18014398576591355, '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': 5, 'label': '507.4.a.e', 'level': 507, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 154332000
    {'hecke_orbit_code': 18014398576591355, 'n': 1, 'trace_an': 1}
  • id: 154332001
    {'hecke_orbit_code': 18014398576591355, 'n': 2, 'trace_an': 3}
  • id: 154332002
    {'hecke_orbit_code': 18014398576591355, 'n': 3, 'trace_an': 3}
  • id: 154332003
    {'hecke_orbit_code': 18014398576591355, 'n': 4, 'trace_an': 1}
  • id: 154332004
    {'hecke_orbit_code': 18014398576591355, 'n': 5, 'trace_an': -9}
  • id: 154332005
    {'hecke_orbit_code': 18014398576591355, 'n': 6, 'trace_an': 9}
  • id: 154332006
    {'hecke_orbit_code': 18014398576591355, 'n': 7, 'trace_an': 2}
  • id: 154332007
    {'hecke_orbit_code': 18014398576591355, 'n': 8, 'trace_an': -21}
  • id: 154332008
    {'hecke_orbit_code': 18014398576591355, 'n': 9, 'trace_an': 9}
  • id: 154332009
    {'hecke_orbit_code': 18014398576591355, 'n': 10, 'trace_an': -27}
  • id: 154332010
    {'hecke_orbit_code': 18014398576591355, 'n': 11, 'trace_an': 30}
  • id: 154332011
    {'hecke_orbit_code': 18014398576591355, 'n': 12, 'trace_an': 3}
  • id: 154332012
    {'hecke_orbit_code': 18014398576591355, 'n': 13, 'trace_an': 0}
  • id: 154332013
    {'hecke_orbit_code': 18014398576591355, 'n': 14, 'trace_an': 6}
  • id: 154332014
    {'hecke_orbit_code': 18014398576591355, 'n': 15, 'trace_an': -27}
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  • id: 154332016
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  • id: 154332017
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  • id: 154332018
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  • id: 154332019
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  • id: 154332020
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  • id: 154332021
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  • id: 154332022
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  • id: 154332023
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  • id: 154332024
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  • id: 154332025
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  • id: 154332026
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  • id: 154332027
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  • id: 154332028
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  • id: 154332029
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  • id: 154332030
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  • id: 154332031
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  • id: 154332032
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  • id: 154332033
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  • id: 154332034
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  • id: 154332035
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  • id: 154332036
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  • id: 154332037
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  • id: 154332038
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  • id: 154332039
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  • id: 154332040
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  • id: 154332041
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  • id: 154332042
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  • id: 154332043
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  • id: 154332044
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  • id: 154332045
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  • id: 154332046
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  • id: 154332047
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  • id: 154332048
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  • id: 154332049
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  • id: 154332050
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  • id: 154332051
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  • id: 154332052
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  • id: 154332053
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  • id: 154332054
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  • id: 154332055
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  • id: 154332056
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  • id: 154332057
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  • id: 154332058
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  • id: 154332059
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  • id: 154332060
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  • id: 154332061
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  • id: 154332062
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  • id: 154332063
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  • id: 154332064
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  • id: 154332065
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  • id: 154332066
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  • id: 154332067
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  • id: 154332068
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  • id: 154332072
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  • id: 154332076
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  • id: 154332077
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  • id: 154332078
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  • id: 154332079
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  • id: 154332080
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  • id: 154332081
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  • id: 154332082
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  • id: 154332083
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  • id: 154332084
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  • id: 154332085
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  • id: 154332086
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  • id: 154332087
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  • id: 154332088
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  • id: 154332089
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  • id: 154332090
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  • id: 154332091
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  • id: 154332092
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  • id: 154332093
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  • id: 154332094
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  • id: 154332095
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  • id: 154332096
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  • id: 154332097
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  • id: 154332098
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  • id: 154332099
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  • id: 154332100
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  • id: 154332101
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  • id: 154332102
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  • id: 154332103
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  • id: 154332104
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  • id: 154332105
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  • id: 154332106
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  • id: 154332107
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  • id: 154332108
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  • id: 154332109
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  • id: 154332110
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  • id: 154332111
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  • id: 154332112
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  • id: 154332113
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  • id: 154332114
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  • id: 154332115
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  • id: 154332116
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  • id: 154332117
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  • id: 154332118
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  • id: 154332119
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  • id: 154332120
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  • id: 154332121
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  • id: 154332122
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  • id: 154332123
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  • id: 154332124
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  • id: 154332125
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  • id: 154332126
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  • id: 154332127
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  • id: 154332128
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  • id: 154332129
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  • id: 154332130
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  • id: 154332131
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  • id: 154332132
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  • id: 154332133
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  • id: 154332134
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  • id: 154332135
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  • id: 154332136
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  • id: 154332137
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  • id: 154332138
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  • id: 154332139
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  • id: 154332140
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  • id: 154332141
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  • id: 154332142
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  • id: 154332143
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  • id: 154332144
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  • id: 154332145
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  • id: 154332146
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  • id: 154332147
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  • id: 154332148
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  • id: 154332149
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  • id: 154332150
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  • id: 154332151
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  • id: 154332152
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  • id: 154332153
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  • id: 154332154
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  • id: 154332155
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  • id: 154332156
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  • id: 154332157
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  • id: 154332158
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  • id: 154332159
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  • id: 154332160
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  • id: 154332161
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  • id: 154332162
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  • id: 154332163
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  • id: 154332164
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  • id: 154332165
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  • id: 154332166
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  • id: 154332167
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  • id: 154332168
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  • id: 154332169
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  • id: 154332171
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  • id: 154332403
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  • id: 154332404
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  • id: 154332405
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  • id: 154332406
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  • id: 154332407
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  • id: 154332408
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  • id: 154332409
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  • id: 154332410
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  • id: 154332411
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  • id: 154332412
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  • id: 154332413
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  • id: 154332414
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  • id: 154332415
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  • id: 154332416
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  • id: 154332417
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  • id: 154332418
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  • id: 154332419
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  • id: 154332420
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  • id: 154332421
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  • id: 154332422
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  • id: 154332423
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  • id: 154332424
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  • id: 154332425
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  • id: 154332426
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  • id: 154332427
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  • id: 154332428
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  • id: 154332429
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  • id: 154332430
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  • id: 154332431
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  • id: 154332432
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  • id: 154332433
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  • id: 154332434
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  • id: 154332435
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  • id: 154332436
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  • id: 154332437
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  • id: 154332438
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  • id: 154332439
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  • id: 154332440
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  • id: 154332441
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  • id: 154332442
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  • id: 154332443
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  • id: 154332444
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  • id: 154332445
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  • id: 154332446
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  • id: 154332447
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  • id: 154332448
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  • id: 154332449
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  • id: 154332450
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  • id: 154332451
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  • id: 154332452
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  • id: 154332453
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  • id: 154332454
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  • id: 154332455
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  • id: 154332456
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  • id: 154332457
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  • id: 154332458
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  • id: 154332459
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  • id: 154332460
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  • id: 154332461
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  • id: 154332462
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  • id: 154332463
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  • id: 154332464
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  • id: 154332465
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  • id: 154332466
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  • id: 154332467
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  • id: 154332468
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  • id: 154332469
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  • id: 154332470
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  • id: 154332471
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  • id: 154332472
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  • id: 154332473
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  • id: 154332474
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  • id: 154332475
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  • id: 154332476
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  • id: 154332477
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  • id: 154332478
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  • id: 154332479
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  • id: 154332480
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  • id: 154332481
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  • id: 154332482
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  • id: 154332483
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  • id: 154332484
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  • id: 154332485
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  • id: 154332486
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  • id: 154332487
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  • id: 154332488
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  • id: 154332489
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  • id: 154332490
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  • id: 154332491
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  • id: 154332492
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  • id: 154332493
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  • id: 154332494
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  • id: 154332495
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  • id: 154332496
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  • id: 154332497
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  • id: 154332498
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  • id: 154332499
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  • id: 154332500
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  • id: 154332501
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  • id: 154332502
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  • id: 154332503
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  • id: 154332504
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  • id: 154332505
    {'hecke_orbit_code': 18014398576591355, 'n': 506, 'trace_an': -540}
  • id: 154332506
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  • id: 154332507
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  • id: 154332508
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  • id: 154332509
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  • id: 154332510
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  • id: 154332511
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  • id: 154332512
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  • id: 154332513
    {'hecke_orbit_code': 18014398576591355, 'n': 514, 'trace_an': 23499}
  • id: 154332514
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  • id: 154332515
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  • id: 154332516
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  • id: 154332517
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  • id: 154332518
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  • id: 154332519
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  • id: 154332520
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  • id: 154332521
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  • id: 154332522
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  • id: 154332523
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  • id: 154332524
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  • id: 154332525
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  • id: 154332526
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  • id: 154332527
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  • id: 154332528
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  • id: 154332529
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  • id: 154332530
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  • id: 154332531
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  • id: 154332532
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  • id: 154332533
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  • id: 154332534
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  • id: 154332535
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  • id: 154332536
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  • id: 154332537
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  • id: 154332538
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  • id: 154332539
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  • id: 154332540
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  • id: 154332541
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  • id: 154332542
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  • id: 154332543
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  • id: 154332544
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  • id: 154332545
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  • id: 154332546
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  • id: 154332547
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  • id: 154332548
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  • id: 154332549
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  • id: 154332550
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  • id: 154332551
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  • id: 154332552
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  • id: 154332553
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  • id: 154332554
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  • id: 154332555
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  • id: 154332556
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  • id: 154332557
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  • id: 154332558
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  • id: 154332559
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  • id: 154332560
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  • id: 154332561
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  • id: 154332562
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  • id: 154332563
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  • id: 154332564
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  • id: 154332565
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  • id: 154332566
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  • id: 154332567
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  • id: 154332568
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  • id: 154332569
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  • id: 154332570
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  • id: 154332571
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  • id: 154332572
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  • id: 154332573
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  • id: 154332574
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  • id: 154332575
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  • id: 154332576
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  • id: 154332577
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  • id: 154332578
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  • id: 154332579
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  • id: 154332580
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  • id: 154332581
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  • id: 154332582
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  • id: 154332583
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  • id: 154332584
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  • id: 154332585
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  • id: 154332586
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  • id: 154332587
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  • id: 154332588
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  • id: 154332589
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  • id: 154332590
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  • id: 154332591
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  • id: 154332592
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  • id: 154332593
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  • id: 154332594
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  • id: 154332595
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  • id: 154332600
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  • id: 154332608
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  • id: 154332614
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  • id: 154332616
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  • id: 154332659
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  • id: 154332667
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  • id: 154332689
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  • id: 154332690
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  • id: 154332691
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  • id: 154332692
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  • id: 154332693
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  • id: 154332694
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  • id: 154332695
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  • id: 154332696
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  • id: 154332697
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  • id: 154332698
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  • id: 154332700
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  • id: 154332701
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  • id: 154332702
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  • id: 154332703
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  • id: 154332705
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  • id: 154332713
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  • id: 154332715
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  • id: 154332716
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  • id: 154332717
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  • id: 154332718
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  • id: 154332719
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  • id: 154332720
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  • id: 154332721
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  • id: 154332722
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    {'hecke_orbit_code': 18014398576591355, 'n': 973, 'trace_an': -1640}
  • id: 154332973
    {'hecke_orbit_code': 18014398576591355, 'n': 974, 'trace_an': -42258}
  • id: 154332974
    {'hecke_orbit_code': 18014398576591355, 'n': 975, 'trace_an': 0}
  • id: 154332975
    {'hecke_orbit_code': 18014398576591355, 'n': 976, 'trace_an': -16543}
  • id: 154332976
    {'hecke_orbit_code': 18014398576591355, 'n': 977, 'trace_an': -28311}
  • id: 154332977
    {'hecke_orbit_code': 18014398576591355, 'n': 978, 'trace_an': -14724}
  • id: 154332978
    {'hecke_orbit_code': 18014398576591355, 'n': 979, 'trace_an': 14940}
  • id: 154332979
    {'hecke_orbit_code': 18014398576591355, 'n': 980, 'trace_an': 3051}
  • id: 154332980
    {'hecke_orbit_code': 18014398576591355, 'n': 981, 'trace_an': 18054}
  • id: 154332981
    {'hecke_orbit_code': 18014398576591355, 'n': 982, 'trace_an': 35082}
  • id: 154332982
    {'hecke_orbit_code': 18014398576591355, 'n': 983, 'trace_an': 4284}
  • id: 154332983
    {'hecke_orbit_code': 18014398576591355, 'n': 984, 'trace_an': 14553}
  • id: 154332984
    {'hecke_orbit_code': 18014398576591355, 'n': 985, 'trace_an': 17874}
  • id: 154332985
    {'hecke_orbit_code': 18014398576591355, 'n': 986, 'trace_an': 34965}
  • id: 154332986
    {'hecke_orbit_code': 18014398576591355, 'n': 987, 'trace_an': -972}
  • id: 154332987
    {'hecke_orbit_code': 18014398576591355, 'n': 988, 'trace_an': 0}
  • id: 154332988
    {'hecke_orbit_code': 18014398576591355, 'n': 989, 'trace_an': 3084}
  • id: 154332989
    {'hecke_orbit_code': 18014398576591355, 'n': 990, 'trace_an': -7290}
  • id: 154332990
    {'hecke_orbit_code': 18014398576591355, 'n': 991, 'trace_an': -2458}
  • id: 154332991
    {'hecke_orbit_code': 18014398576591355, 'n': 992, 'trace_an': 4500}
  • id: 154332992
    {'hecke_orbit_code': 18014398576591355, 'n': 993, 'trace_an': -27516}
  • id: 154332993
    {'hecke_orbit_code': 18014398576591355, 'n': 994, 'trace_an': -5580}
  • id: 154332994
    {'hecke_orbit_code': 18014398576591355, 'n': 995, 'trace_an': 21474}
  • id: 154332995
    {'hecke_orbit_code': 18014398576591355, 'n': 996, 'trace_an': 2430}
  • id: 154332996
    {'hecke_orbit_code': 18014398576591355, 'n': 997, 'trace_an': 24101}
  • id: 154332997
    {'hecke_orbit_code': 18014398576591355, 'n': 998, 'trace_an': -11064}
  • id: 154332998
    {'hecke_orbit_code': 18014398576591355, 'n': 999, 'trace_an': 459}
  • id: 154332999
    {'hecke_orbit_code': 18014398576591355, 'n': 1000, 'trace_an': -31941}