Embedded newform data - 3872.2.a.bj.1.3

Formats: - HTML - YAML - JSON - 2025-10-16T01:23:42.168194

• 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': 15488, 'analytic_conductor': 30.918075662639765, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [11, 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': [3872, 1, [1695, 485, 2785], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 22000, 'field_disc_factorization': [[2, 4], [5, 3], [11, 1]], 'field_poly': [55, 0, -15, 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': 1, 'hecke_cutters': [[3, [55, 0, -15, 0, 1]], [5, [-11, -1, 1]], [7, [55, 0, -15, 0, 1]], [13, [-9, 3, 1]]], 'hecke_orbit': 36, 'hecke_orbit_code': 157625986991525664, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0]], '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': '3872.2.a.bj', 'level': 3872, 'level_is_powerful': True, '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, 11], 'level_radical': 22, 'minimal_twist': '352.2.m.d', 'nf_label': '4.4.22000.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{3}+(2+3\\beta _{2})q^{5}-\\beta _{1}q^{7}+(5+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3872.2.a', 'trace_display': [0, 0, 2, 0], 'trace_hash': 2079417441113964502, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.047', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.090', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.180', 'prec': 17}, {'__RealLiteral__': 0, 'data': '81.556', 'prec': 20}, {'__RealLiteral__': 0, 'data': '97.272', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2265.892', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.506', 'prec': 17}, 'traces': [4, 0, 0, 0, 2, 0, 0, 0, 18, 0, 0, 0, -6, 0, 0, 0, 18, 0, 0, 0, -30, 0, 0, 0, 26, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 30, 0, 0, 0, 24, 0, 0, 0, 2, 0, 0, 0, 6, 0, 0, 0, -30, 0, 0, 0, -10, 0, 0, 0, 42, 0, 0, 0, 20, 0, 0, 0, -14, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, -6, 0, 0, 0, -20, 0, 0, 0, 40, 0, 0, 0, 22, 0, 0, 0, -38, 0, 0, 0, -30, 0, 0, 0, 24, 0, 0, 0, -46, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 40, 0, 0, 0, 30, 0, 0, 0, 62, 0, 0, 0, -70, 0, 0, 0, 20, 0, 0, 0, 6, 0, 0, 0, 76, 0, 0, 0, 38, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -14, 0, 0, 0, 50, 0, 0, 0, 18, 0, 0, 0, 16, 0, 0, 0, -50, 0, 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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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-0.11558485125836385, -0.21603216344722215, -0.2478652137026312, -0.41429350651112357, -0.18369310706710149, -0.27519406894397247, -0.3138093250017256, -0.2427784452149937, -0.10727275195993347, -0.12640381603348175, -0.33624241045402875, -0.21043669105201868, -0.08778299350713328, -0.11379646279780768, -0.3179881430899097, -0.43773785448036834, -0.32749453985947985, -0.20479600081311383, -0.1573924374545794, -0.08209906658888896, -0.09271718346075558, -0.3684972069720704, -0.25658480205736633, -0.3098972076588244, -0.1308455578807387, -0.05448391471876274, -0.23191885949691707, -0.19983132912893706, -0.3047140178812802, -0.30410334739188183, -0.2353323071522317, -0.12046603444358578, -0.3059073282706227, -0.30689448450047324, -0.27577860175482966, -0.21352947969687097, -0.12541565982933353, -0.3797531793338788, -0.2540436281826199, -0.2391265057004696], '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': 2.526255333740061, 'hecke_orbit': 36, 'hecke_orbit_code': 157625986991525664, 'label': '3872.2.a.bj.1.3', 'level': 3872, 'weight': 2}
• 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': [25, 30, 29, 25], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [23, 24, 24, 24], 'ALdims_old': [90, 94, 97, 91], 'Nk2': 15488, 'analytic_conductor': 30.918075662639765, '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': [3872, 1, [1695, 485, 2785], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 481, 'dim': 109, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7, 13], 'hecke_orbit_code': 33558304, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 6, 6, 6, 6], 'label': '3872.2.a', 'level': 3872, 'level_is_powerful': True, '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, 11], 'level_radical': 22, 'mf_dim': 576, 'mf_new_dim': 109, 'num_forms': 43, 'plus_dim': 50, 'prim_orbit_index': 1, 'relative_dim': 109, 'sturm_bound': 1056, 'trace_bound': 13, 'trace_display': [0, 0, -2, 0], 'traces': [109, 0, 0, 0, -2, 0, 0, 0, 113, 0, 0, 0, 6, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 123, 0, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 2, 0, 0, 0, -42, 0, 0, 0, 133, 0, 0, 0, -18, 0, 0, 0, -16, 0, 0, 0, 6, 0, 0, 0, 4, 0, 0, 0, -16, 0, 0, 0, 34, 0, 0, 0, 0, 0, 0, 0, 117, 0, 0, 0, -20, 0, 0, 0, 50, 0, 0, 0, 16, 0, 0, 0, 10, 0, 0, 0, -34, 0, 0, 0, -32, 0, 0, 0, 38, 0, 0, 0, -22, 0, 0, 0, 62, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 16, 0, 0, 0, 80, 0, 0, 0, -30, 0, 0, 0, -16, 0, 0, 0, 20, 0, 0, 0, -50, 0, 0, 0, -30, 0, 0, 0, 6, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 131, 0, 0, 0, 6, 0, 0, 0, -112, 0, 0, 0, -34, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 58, 0, 0, 0, -50, 0, 0, 0, 16, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -32, 0, 0, 0, -116, 0, 0, 0, 183, 0, 0, 0, -34, 0, 0, 0, 18, 0, 0, 0, 112, 0, 0, 0, 42, 0, 0, 0, 78, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -38, 0, 0, 0, -2, 0, 0, 0, 100, 0, 0, 0, 38, 0, 0, 0, 32, 0, 0, 0, 30, 0, 0, 0, -78, 0, 0, 0, 80, 0, 0, 0, 71, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 84, 0, 0, 0, 96, 0, 0, 0, 2, 0, 0, 0, 118, 0, 0, 0, -32, 0, 0, 0, -54, 0, 0, 0, -64, 0, 0, 0, -58, 0, 0, 0, -86, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 54, 0, 0, 0, -150, 0, 0, 0, -16, 0, 0, 0, 49, 0, 0, 0, -52, 0, 0, 0, 106, 0, 0, 0, -18, 0, 0, 0, 4, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 126, 0, 0, 0, -96, 0, 0, 0, -122, 0, 0, 0, 58, 0, 0, 0, -50, 0, 0, 0, 18, 0, 0, 0, 64, 0, 0, 0, 96, 0, 0, 0, 14, 0, 0, 0, 118, 0, 0, 0, 0, 0, 0, 0, 26, 0, 0, 0, -144, 0, 0, 0, 345, 0, 0, 0, -20, 0, 0, 0, 106, 0, 0, 0, -80, 0, 0, 0, -110, 0, 0, 0, 102, 0, 0, 0, -48, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -138, 0, 0, 0, 68, 0, 0, 0, -28, 0, 0, 0, -48, 0, 0, 0, -252, 0, 0, 0, -32, 0, 0, 0, -272, 0, 0, 0, -124, 0, 0, 0, -258, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 82, 0, 0, 0, 64, 0, 0, 0, -59, 0, 0, 0, -284, 0, 0, 0, -32, 0, 0, 0, 22, 0, 0, 0, 100, 0, 0, 0, -210, 0, 0, 0, 48, 0, 0, 0, -154, 0, 0, 0, 0, 0, 0, 0, -396, 0, 0, 0, -94, 0, 0, 0, -240, 0, 0, 0, -54, 0, 0, 0, -128, 0, 0, 0, 68, 0, 0, 0, 240, 0, 0, 0, 10, 0, 0, 0, 160, 0, 0, 0, 98, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -50, 0, 0, 0, 210, 0, 0, 0, -16, 0, 0, 0, 185, 0, 0, 0, 204, 0, 0, 0, -192, 0, 0, 0, 86, 0, 0, 0, 26, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -178, 0, 0, 0, 106, 0, 0, 0, 158, 0, 0, 0, -48, 0, 0, 0, 144, 0, 0, 0, 42, 0, 0, 0, -18, 0, 0, 0, -160, 0, 0, 0, -132, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 166, 0, 0, 0, -208, 0, 0, 0, -218, 0, 0, 0, -80, 0, 0, 0, -16, 0, 0, 0, 192, 0, 0, 0, 42, 0, 0, 0, 185, 0, 0, 0, -154, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, -28, 0, 0, 0, -208, 0, 0, 0, -32, 0, 0, 0, 14, 0, 0, 0, 18, 0, 0, 0, 156, 0, 0, 0, 170, 0, 0, 0, -298, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, -128, 0, 0, 0, 228, 0, 0, 0, 70, 0, 0, 0, 74, 0, 0, 0, -192, 0, 0, 0, -126, 0, 0, 0, 112, 0, 0, 0, -128, 0, 0, 0, 190, 0, 0, 0, 0, 0, 0, 0, -122, 0, 0, 0, 186, 0, 0, 0, 384, 0, 0, 0, 211, 0, 0, 0, -118, 0, 0, 0, 32, 0, 0, 0, -370, 0, 0, 0, 34, 0, 0, 0, 32, 0, 0, 0, -220, 0, 0, 0, 0, 0, 0, 0, 34, 0, 0, 0, 86, 0, 0, 0, -230, 0, 0, 0, -80, 0, 0, 0, -16, 0, 0, 0, 32, 0, 0, 0, 272, 0, 0, 0, -244, 0, 0, 0, 100, 0, 0, 0, -282, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, -144, 0, 0, 0, -486, 0, 0, 0, 138, 0, 0, 0, -32, 0, 0, 0, -94, 0, 0, 0, 198, 0, 0, 0, 160, 0, 0, 0, 60, 0, 0, 0, 226, 0, 0, 0, 0, 0, 0, 0, 45, 0, 0, 0, -180, 0, 0, 0, -184, 0, 0, 0, 32, 0, 0, 0, -350, 0, 0, 0, 222, 0, 0, 0, -268, 0, 0, 0, 48, 0, 0, 0, -568, 0, 0, 0, 30, 0, 0, 0], 'weight': 2, '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: 48847248
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 157625986991525664, 'target_is_minimal': False, 'target_label': '3872.2.a.bj.1.3', 'target_level': 3872, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48847249
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 157625986991525664, 'target_is_minimal': False, 'target_label': '3872.2.a.bj.1.2', 'target_level': 3872, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48847250
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 405323966496906816, 'target_is_minimal': False, 'target_label': '7744.2.a.dm.1.3', 'target_level': 7744, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48847251
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 405323966496906816, 'target_is_minimal': False, 'target_label': '7744.2.a.dm.1.2', 'target_level': 7744, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48847252
    {'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 289, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511623549387104, 'target_is_minimal': True, 'target_label': '352.2.m.d.289.2', 'target_level': 352, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '11.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48847253
    {'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 257, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511623549387104, 'target_is_minimal': True, 'target_label': '352.2.m.d.257.2', 'target_level': 352, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '11.9', 'twisting_conrey_index': 9, 'weight': 2}
  • id: 48847254
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 162129586618896160, 'target_is_minimal': False, 'target_label': '3872.2.a.bk.1.3', 'target_level': 3872, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 48847255
    {'conductor': 44, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 289, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511623549387104, 'target_is_minimal': True, 'target_label': '352.2.m.d.289.1', 'target_level': 352, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '44.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 48847256
    {'conductor': 44, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 257, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511623549387104, 'target_is_minimal': True, 'target_label': '352.2.m.d.257.1', 'target_level': 352, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '44.31', 'twisting_conrey_index': 31, 'weight': 2}
  • id: 48847257
    {'conductor': 44, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 162129586618896160, 'target_is_minimal': False, 'target_label': '3872.2.a.bk.1.2', 'target_level': 3872, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '44.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 48847258
    {'conductor': 88, 'degree': 4, 'order': 10, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 641, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40533221313610432, 'target_is_minimal': False, 'target_label': '704.2.m.j.641.1', 'target_level': 704, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '88.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48847259
    {'conductor': 88, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 400820366869536320, 'target_is_minimal': False, 'target_label': '7744.2.a.dl.1.2', 'target_level': 7744, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '88.21', 'twisting_conrey_index': 21, 'weight': 2}
  • id: 48847260
    {'conductor': 88, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 641, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40533221313610432, 'target_is_minimal': False, 'target_label': '704.2.m.j.641.2', 'target_level': 704, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '88.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 48847261
    {'conductor': 88, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 400820366869536320, 'target_is_minimal': False, 'target_label': '7744.2.a.dl.1.3', 'target_level': 7744, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '88.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 48847262
    {'conductor': 88, 'degree': 4, 'order': 10, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 257, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40533221313610432, 'target_is_minimal': False, 'target_label': '704.2.m.j.257.1', 'target_level': 704, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '88.53', 'twisting_conrey_index': 53, 'weight': 2}
  • id: 48847263
    {'conductor': 88, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 157625986991525664, 'source_is_minimal': False, 'source_label': '3872.2.a.bj.1.3', 'source_level': 3872, 'target_conrey_index': 257, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40533221313610432, 'target_is_minimal': False, 'target_label': '704.2.m.j.257.2', 'target_level': 704, 'twist_class_label': '352.2.m.d.257.1', 'twist_class_level': 352, 'twisting_char_label': '88.75', 'twisting_conrey_index': 75, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3404825
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 157625986991525664, 'p': 2}
  • id: 3404826
    {'charpoly_factorization': [[[55, 0, -15, 0, 1], 1]], 'hecke_orbit_code': 157625986991525664, 'p': 3}
  • id: 3404827
    {'charpoly_factorization': [[[-11, -1, 1], 2]], 'hecke_orbit_code': 157625986991525664, 'p': 5}
  • id: 3404828
    {'charpoly_factorization': [[[55, 0, -15, 0, 1], 1]], 'hecke_orbit_code': 157625986991525664, 'p': 7}
  • id: 3404829
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 157625986991525664, 'p': 11}
  • id: 3404830
    {'charpoly_factorization': [[[-9, 3, 1], 2]], 'hecke_orbit_code': 157625986991525664, 'p': 13}
  • id: 3404831
    {'charpoly_factorization': [[[19, -9, 1], 2]], 'hecke_orbit_code': 157625986991525664, 'p': 17}
  • id: 3404832
    {'charpoly_factorization': [[[55, 0, -15, 0, 1], 1]], 'hecke_orbit_code': 157625986991525664, 'p': 19}
  • id: 3404833
    {'charpoly_factorization': [[[880, 0, -80, 0, 1], 1]], 'hecke_orbit_code': 157625986991525664, 'p': 23}
  • id: 3404834
    {'charpoly_factorization': [[[5, -5, 1], 2]], 'hecke_orbit_code': 157625986991525664, 'p': 29}
  • id: 3404835
    {'charpoly_factorization': [[[55, 0, -45, 0, 1], 1]], 'hecke_orbit_code': 157625986991525664, 'p': 31}
  • id: 3404836
    {'charpoly_factorization': [[[-1, -1, 1], 2]], 'hecke_orbit_code': 157625986991525664, 'p': 37}
  • id: 3404837
    {'charpoly_factorization': [[[55, -15, 1], 2]], 'hecke_orbit_code': 157625986991525664, 'p': 41}
  • id: 3404838
    {'charpoly_factorization': [[[880, 0, -100, 0, 1], 1]], 'hecke_orbit_code': 157625986991525664, 'p': 43}
  • id: 3404839
    {'charpoly_factorization': [[[55, 0, -155, 0, 1], 1]], 'hecke_orbit_code': 157625986991525664, 'p': 47}
  • id: 3404840
    {'charpoly_factorization': [[[1, -3, 1], 2]], 'hecke_orbit_code': 157625986991525664, 'p': 53}
  • id: 3404841
    {'charpoly_factorization': [[[55, 0, -115, 0, 1], 1]], 'hecke_orbit_code': 157625986991525664, 'p': 59}
  • id: 3404842
    {'charpoly_factorization': [[[5, 5, 1], 2]], 'hecke_orbit_code': 157625986991525664, 'p': 61}
  • id: 3404843
    {'charpoly_factorization': [[[880, 0, -180, 0, 1], 1]], 'hecke_orbit_code': 157625986991525664, 'p': 67}
  • id: 3404844
    {'charpoly_factorization': [[[6655, 0, -185, 0, 1], 1]], 'hecke_orbit_code': 157625986991525664, 'p': 71}
  • id: 3404845
    {'charpoly_factorization': [[[-49, 7, 1], 2]], 'hecke_orbit_code': 157625986991525664, 'p': 73}
  • id: 3404846
    {'charpoly_factorization': [[[1375, 0, -125, 0, 1], 1]], 'hecke_orbit_code': 157625986991525664, 'p': 79}
  • id: 3404847
    {'charpoly_factorization': [[[6655, 0, -185, 0, 1], 1]], 'hecke_orbit_code': 157625986991525664, 'p': 83}
  • id: 3404848
    {'charpoly_factorization': [[[20, 10, 1], 2]], 'hecke_orbit_code': 157625986991525664, 'p': 89}
  • id: 3404849
    {'charpoly_factorization': [[[-121, -11, 1], 2]], 'hecke_orbit_code': 157625986991525664, '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': 36, 'label': '3872.2.a.bj', 'level': 3872, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 69708481
    {'hecke_orbit_code': 157625986991525664, 'n': 1, 'trace_an': 4}
  • id: 69708482
    {'hecke_orbit_code': 157625986991525664, 'n': 2, 'trace_an': 0}
  • id: 69708483
    {'hecke_orbit_code': 157625986991525664, 'n': 3, 'trace_an': 0}
  • id: 69708484
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  • id: 69708489
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  • id: 69708490
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  • id: 69708491
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  • id: 69708493
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  • id: 69708495
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  • id: 69708496
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  • id: 69708497
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  • id: 69708498
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  • id: 69708499
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  • id: 69708500
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  • id: 69708502
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  • id: 69708506
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  • id: 69708507
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  • id: 69708509
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  • id: 69708510
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  • id: 69708511
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  • id: 69708512
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  • id: 69708516
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  • id: 69708519
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  • id: 69708521
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  • id: 69708522
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  • id: 69708523
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  • id: 69708525
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  • id: 69708526
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  • id: 69708527
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  • id: 69708528
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  • id: 69708529
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  • id: 69708533
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  • id: 69708537
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  • id: 69708564
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  • id: 69708586
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  • id: 69708587
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  • id: 69708588
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  • id: 69708589
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  • id: 69708590
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  • id: 69708591
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  • id: 69708592
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  • id: 69708593
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  • id: 69708602
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  • id: 69708620
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  • id: 69708621
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  • id: 69708623
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  • id: 69708678
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  • id: 69708679
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  • id: 69708680
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  • id: 69708681
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  • id: 69708682
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  • id: 69708683
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  • id: 69708684
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  • id: 69708685
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  • id: 69708686
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  • id: 69708687
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  • id: 69708688
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  • id: 69708689
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  • id: 69708690
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  • id: 69708691
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  • id: 69708692
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  • id: 69708693
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  • id: 69708694
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  • id: 69708695
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  • id: 69708696
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  • id: 69708697
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  • id: 69708698
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  • id: 69708699
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  • id: 69708700
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  • id: 69708701
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  • id: 69708702
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  • id: 69708703
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  • id: 69708704
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  • id: 69708705
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  • id: 69708706
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  • id: 69708707
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  • id: 69708708
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  • id: 69708709
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  • id: 69708710
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  • id: 69708711
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  • id: 69708712
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  • id: 69708713
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  • id: 69708714
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  • id: 69708715
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  • id: 69708716
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  • id: 69708717
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  • id: 69708718
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  • id: 69708719
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  • id: 69708720
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  • id: 69708721
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  • id: 69708722
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  • id: 69708723
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  • id: 69708724
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  • id: 69708725
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  • id: 69708726
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  • id: 69708727
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  • id: 69708728
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  • id: 69708729
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  • id: 69708730
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  • id: 69708731
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  • id: 69708732
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  • id: 69708733
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  • id: 69708734
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  • id: 69708735
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  • id: 69708736
    {'hecke_orbit_code': 157625986991525664, 'n': 983, 'trace_an': 0}
  • id: 69708737
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  • id: 69708738
    {'hecke_orbit_code': 157625986991525664, 'n': 997, 'trace_an': 158}