Embedded newform data - 200.6.a.a.1.1

Formats: - HTML - YAML - JSON - 2024-04-19T22:49:10.807999

• 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': 7200, 'analytic_conductor': 32.076763962596125, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, 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': [200, 1, [151, 101, 177], [1, 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': [[3, [20, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 100663496, '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': '200.6.a.a', 'level': 200, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '8.6.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-20q^{3}+24q^{7}+157q^{9}+124q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '200.6.a', 'trace_display': [0, -20, 0, 24], 'trace_hash': 391618537247824481, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.973', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.004', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.930', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.094', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.802', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [1, 0, -20, 0, 0, 0, 24, 0, 157, 0, 124, 0, -478, 0, 0, 0, 1198, 0, 3044, 0, -480, 0, -184, 0, 0, 0, 1720, 0, -3282, 0, -5728, 0, -2480, 0, 0, 0, -10326, 0, 9560, 0, -8886, 0, 9188, 0, 0, 0, -23664, 0, -16231, 0, -23960, 0, -11686, 0, 0, 0, -60880, 0, 16876, 0, -18482, 0, 3768, 0, 0, 0, 15532, 0, 3680, 0, -31960, 0, 4886, 0, 0, 0, 2976, 0, 44560, 0, -72551, 0, -67364, 0, 0, 0, 65640, 0, 71994, 0, -11472, 0, 114560, 0, 0, 0, -48866, 0, 19468, 0, 51606, 0, -180424, 0, 0, 0, 65700, 0, -112706, 0, 206520, 0, 23502, 0, 0, 0, -75046, 0, 28752, 0, -145675, 0, 177720, 0, 0, 0, 94592, 0, -183760, 0, 70292, 0, 73056, 0, 0, 0, -277290, 0, -130308, 0, 473280, 0, -59272, 0, 0, 0, 324620, 0, -401530, 0, -75976, 0, 188086, 0, 0, 0, 394322, 0, 233720, 0, -4416, 0, 11724, 0, 0, 0, 551928, 0, -142809, 0, 477908, 0, -432894, 0, 0, 0, -337520, 0, 559620, 0, 604710, 0, 369640, 0, 0, 0, 148552, 0, 41280, 0, -409152, 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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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'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 100663496, 'label': '200.6.a.a.1.1', 'level': 200, 'weight': 6}
• 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': [[[[2, 1], [5, 1]], 5, 4], [[[2, -1], [5, -1]], 6, 2], [[[2, 1], [5, -1]], 7, 2], [[[2, -1], [5, 1]], 6, 3]], 'ALdims': [5, 7, 6, 6], 'Nk2': 7200, 'analytic_conductor': 32.076763962596125, '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': [200, 1, [151, 101, 177], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 138, 'dim': 24, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 100663496, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 3, 3, 4, 4], 'label': '200.6.a', 'level': 200, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 162, 'mf_new_dim': 24, 'num_forms': 11, 'plus_dim': 11, 'prim_orbit_index': 1, 'relative_dim': 24, 'sturm_bound': 180, 'trace_bound': 3, 'trace_display': [0, 20, 0, -100], 'traces': [24, 0, 20, 0, 0, 0, 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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: 384322
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663496, 'target_is_minimal': False, 'target_label': '200.6.a.a.1.1', 'target_level': 200, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 384323
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539596001739152, 'target_is_minimal': False, 'target_label': '400.6.a.l.1.1', 'target_level': 400, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 384324
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 137539616968, 'target_is_minimal': False, 'target_label': '200.6.c.a.49.2', 'target_level': 200, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 384325
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137539616968, 'target_is_minimal': False, 'target_label': '200.6.c.a.49.1', 'target_level': 200, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 384326
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663304, 'target_is_minimal': True, 'target_label': '8.6.a.a.1.1', 'target_level': 8, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 384327
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998237515848, 'target_is_minimal': False, 'target_label': '72.6.a.f.1.1', 'target_level': 72, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 6}
  • id: 384328
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510936421728656, 'target_is_minimal': False, 'target_label': '400.6.c.d.49.2', 'target_level': 400, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 384329
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510936421728656, 'target_is_minimal': False, 'target_label': '400.6.c.d.49.1', 'target_level': 400, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 6}
  • id: 384330
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663312, 'target_is_minimal': False, 'target_label': '16.6.a.a.1.1', 'target_level': 16, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 6}
  • id: 384331
    {'conductor': 35, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 177, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504149483848072, 'target_is_minimal': False, 'target_label': '392.6.i.b.177.1', 'target_level': 392, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '35.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 384332
    {'conductor': 35, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 361, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504149483848072, 'target_is_minimal': False, 'target_label': '392.6.i.b.361.1', 'target_level': 392, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '35.9', 'twisting_conrey_index': 9, 'weight': 6}
  • id: 384333
    {'conductor': 35, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 361, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014948365959560, 'target_is_minimal': False, 'target_label': '392.6.i.e.361.1', 'target_level': 392, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '35.19', 'twisting_conrey_index': 19, 'weight': 6}
  • id: 384334
    {'conductor': 35, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 177, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014948365959560, 'target_is_minimal': False, 'target_label': '392.6.i.e.177.1', 'target_level': 392, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '35.24', 'twisting_conrey_index': 24, 'weight': 6}
  • id: 384335
    {'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599728034184, 'target_is_minimal': False, 'target_label': '392.6.a.b.1.1', 'target_level': 392, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 6}
  • id: 384336
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597864886336, 'target_is_minimal': False, 'target_label': '64.6.a.g.1.1', 'target_level': 64, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 6}
  • id: 384337
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663360, 'target_is_minimal': False, 'target_label': '64.6.a.a.1.1', 'target_level': 64, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '40.29', 'twisting_conrey_index': 29, 'weight': 6}
  • id: 384338
    {'conductor': 55, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100664264, 'target_is_minimal': False, 'target_label': '968.6.a.a.1.1', 'target_level': 968, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '55.54', 'twisting_conrey_index': 54, 'weight': 6}
  • id: 384339
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996374368400, 'target_is_minimal': False, 'target_label': '144.6.a.k.1.1', 'target_level': 144, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 6}
  • id: 384340
    {'conductor': 80, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510867702251776, 'target_is_minimal': False, 'target_label': '256.6.b.d.129.1', 'target_level': 256, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '80.19', 'twisting_conrey_index': 19, 'weight': 6}
  • id: 384341
    {'conductor': 80, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518066956992768, 'target_is_minimal': False, 'target_label': '256.6.b.f.129.2', 'target_level': 256, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '80.29', 'twisting_conrey_index': 29, 'weight': 6}
  • id: 384342
    {'conductor': 80, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510867702251776, 'target_is_minimal': False, 'target_label': '256.6.b.d.129.2', 'target_level': 256, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '80.59', 'twisting_conrey_index': 59, 'weight': 6}
  • id: 384343
    {'conductor': 80, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518066956992768, 'target_is_minimal': False, 'target_label': '256.6.b.f.129.1', 'target_level': 256, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '80.69', 'twisting_conrey_index': 69, 'weight': 6}
  • id: 384344
    {'conductor': 120, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597864886848, 'target_is_minimal': False, 'target_label': '576.6.a.g.1.1', 'target_level': 576, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '120.29', 'twisting_conrey_index': 29, 'weight': 6}
  • id: 384345
    {'conductor': 120, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197492257344, 'target_is_minimal': False, 'target_label': '576.6.a.h.1.1', 'target_level': 576, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '120.59', 'twisting_conrey_index': 59, 'weight': 6}
  • id: 384346
    {'conductor': 140, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663496, 'source_is_minimal': False, 'source_label': '200.6.a.a.1.1', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539596001739536, 'target_is_minimal': False, 'target_label': '784.6.a.l.1.1', 'target_level': 784, 'twist_class_label': '8.6.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '140.139', 'twisting_conrey_index': 139, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 501450
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 2}
  • id: 501451
    {'charpoly_factorization': [[[20, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 3}
  • id: 501452
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 5}
  • id: 501453
    {'charpoly_factorization': [[[-24, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 7}
  • id: 501454
    {'charpoly_factorization': [[[-124, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 11}
  • id: 501455
    {'charpoly_factorization': [[[478, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 13}
  • id: 501456
    {'charpoly_factorization': [[[-1198, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 17}
  • id: 501457
    {'charpoly_factorization': [[[-3044, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 19}
  • id: 501458
    {'charpoly_factorization': [[[184, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 23}
  • id: 501459
    {'charpoly_factorization': [[[3282, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 29}
  • id: 501460
    {'charpoly_factorization': [[[5728, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 31}
  • id: 501461
    {'charpoly_factorization': [[[10326, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 37}
  • id: 501462
    {'charpoly_factorization': [[[8886, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 41}
  • id: 501463
    {'charpoly_factorization': [[[-9188, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 43}
  • id: 501464
    {'charpoly_factorization': [[[23664, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 47}
  • id: 501465
    {'charpoly_factorization': [[[11686, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 53}
  • id: 501466
    {'charpoly_factorization': [[[-16876, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 59}
  • id: 501467
    {'charpoly_factorization': [[[18482, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 61}
  • id: 501468
    {'charpoly_factorization': [[[-15532, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 67}
  • id: 501469
    {'charpoly_factorization': [[[31960, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 71}
  • id: 501470
    {'charpoly_factorization': [[[-4886, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 73}
  • id: 501471
    {'charpoly_factorization': [[[-44560, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 79}
  • id: 501472
    {'charpoly_factorization': [[[67364, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 83}
  • id: 501473
    {'charpoly_factorization': [[[-71994, 1], 1]], 'hecke_orbit_code': 100663496, 'p': 89}
  • id: 501474
    {'charpoly_factorization': [[[48866, 1], 1]], 'hecke_orbit_code': 100663496, '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': 1, 'label': '200.6.a.a', 'level': 200, 'portrait': 'data:image/png;base64,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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 12674000
    {'hecke_orbit_code': 100663496, 'n': 1, 'trace_an': 1}
  • id: 12674001
    {'hecke_orbit_code': 100663496, 'n': 2, 'trace_an': 0}
  • id: 12674002
    {'hecke_orbit_code': 100663496, 'n': 3, 'trace_an': -20}
  • id: 12674003
    {'hecke_orbit_code': 100663496, 'n': 4, 'trace_an': 0}
  • id: 12674004
    {'hecke_orbit_code': 100663496, 'n': 5, 'trace_an': 0}
  • id: 12674005
    {'hecke_orbit_code': 100663496, 'n': 6, 'trace_an': 0}
  • id: 12674006
    {'hecke_orbit_code': 100663496, 'n': 7, 'trace_an': 24}
  • id: 12674007
    {'hecke_orbit_code': 100663496, 'n': 8, 'trace_an': 0}
  • id: 12674008
    {'hecke_orbit_code': 100663496, 'n': 9, 'trace_an': 157}
  • id: 12674009
    {'hecke_orbit_code': 100663496, 'n': 10, 'trace_an': 0}
  • id: 12674010
    {'hecke_orbit_code': 100663496, 'n': 11, 'trace_an': 124}
  • id: 12674011
    {'hecke_orbit_code': 100663496, 'n': 12, 'trace_an': 0}
  • id: 12674012
    {'hecke_orbit_code': 100663496, 'n': 13, 'trace_an': -478}
  • id: 12674013
    {'hecke_orbit_code': 100663496, 'n': 14, 'trace_an': 0}
  • id: 12674014
    {'hecke_orbit_code': 100663496, 'n': 15, 'trace_an': 0}
  • id: 12674015
    {'hecke_orbit_code': 100663496, 'n': 16, 'trace_an': 0}
  • id: 12674016
    {'hecke_orbit_code': 100663496, 'n': 17, 'trace_an': 1198}
  • id: 12674017
    {'hecke_orbit_code': 100663496, 'n': 18, 'trace_an': 0}
  • id: 12674018
    {'hecke_orbit_code': 100663496, 'n': 19, 'trace_an': 3044}
  • id: 12674019
    {'hecke_orbit_code': 100663496, 'n': 20, 'trace_an': 0}
  • id: 12674020
    {'hecke_orbit_code': 100663496, 'n': 21, 'trace_an': -480}
  • id: 12674021
    {'hecke_orbit_code': 100663496, 'n': 22, 'trace_an': 0}
  • id: 12674022
    {'hecke_orbit_code': 100663496, 'n': 23, 'trace_an': -184}
  • id: 12674023
    {'hecke_orbit_code': 100663496, 'n': 24, 'trace_an': 0}
  • id: 12674024
    {'hecke_orbit_code': 100663496, 'n': 25, 'trace_an': 0}
  • id: 12674025
    {'hecke_orbit_code': 100663496, 'n': 26, 'trace_an': 0}
  • id: 12674026
    {'hecke_orbit_code': 100663496, 'n': 27, 'trace_an': 1720}
  • id: 12674027
    {'hecke_orbit_code': 100663496, 'n': 28, 'trace_an': 0}
  • id: 12674028
    {'hecke_orbit_code': 100663496, 'n': 29, 'trace_an': -3282}
  • id: 12674029
    {'hecke_orbit_code': 100663496, 'n': 30, 'trace_an': 0}
  • id: 12674030
    {'hecke_orbit_code': 100663496, 'n': 31, 'trace_an': -5728}
  • id: 12674031
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  • id: 12674032
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  • id: 12674033
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  • id: 12674034
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  • id: 12674035
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  • id: 12674036
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  • id: 12674037
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  • id: 12674038
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  • id: 12674039
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  • id: 12674040
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  • id: 12674041
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  • id: 12674042
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  • id: 12674043
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  • id: 12674044
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  • id: 12674045
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  • id: 12674046
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  • id: 12674047
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  • id: 12674048
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  • id: 12674049
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  • id: 12674050
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  • id: 12674051
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  • id: 12674052
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  • id: 12674053
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  • id: 12674054
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  • id: 12674055
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  • id: 12674056
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  • id: 12674057
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  • id: 12674058
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  • id: 12674059
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  • id: 12674060
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  • id: 12674061
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  • id: 12674062
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  • id: 12674063
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  • id: 12674064
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  • id: 12674065
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  • id: 12674066
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  • id: 12674067
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  • id: 12674068
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  • id: 12674069
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  • id: 12674070
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  • id: 12674071
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  • id: 12674072
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  • id: 12674073
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  • id: 12674074
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  • id: 12674075
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  • id: 12674076
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  • id: 12674077
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  • id: 12674078
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  • id: 12674079
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  • id: 12674080
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  • id: 12674081
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  • id: 12674082
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  • id: 12674083
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  • id: 12674084
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  • id: 12674085
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  • id: 12674086
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  • id: 12674087
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  • id: 12674088
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  • id: 12674089
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  • id: 12674090
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  • id: 12674091
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  • id: 12674092
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  • id: 12674093
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  • id: 12674094
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  • id: 12674095
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  • id: 12674096
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  • id: 12674097
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  • id: 12674098
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  • id: 12674099
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  • id: 12674100
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  • id: 12674101
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  • id: 12674102
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  • id: 12674103
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  • id: 12674104
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  • id: 12674105
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  • id: 12674106
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  • id: 12674107
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  • id: 12674108
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  • id: 12674109
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  • id: 12674110
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  • id: 12674111
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  • id: 12674112
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  • id: 12674113
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  • id: 12674114
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  • id: 12674115
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  • id: 12674116
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  • id: 12674117
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  • id: 12674118
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  • id: 12674119
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  • id: 12674120
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  • id: 12674121
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  • id: 12674122
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  • id: 12674123
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  • id: 12674124
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  • id: 12674125
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  • id: 12674126
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  • id: 12674127
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  • id: 12674128
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  • id: 12674129
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  • id: 12674130
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  • id: 12674131
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  • id: 12674132
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  • id: 12674133
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  • id: 12674134
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  • id: 12674135
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  • id: 12674136
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  • id: 12674137
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  • id: 12674138
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  • id: 12674139
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  • id: 12674140
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  • id: 12674141
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  • id: 12674142
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  • id: 12674143
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  • id: 12674144
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  • id: 12674145
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  • id: 12674146
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  • id: 12674147
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  • id: 12674148
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  • id: 12674149
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  • id: 12674150
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  • id: 12674151
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  • id: 12674152
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  • id: 12674153
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  • id: 12674154
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  • id: 12674155
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  • id: 12674156
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  • id: 12674157
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  • id: 12674158
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  • id: 12674159
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  • id: 12674160
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  • id: 12674161
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  • id: 12674162
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  • id: 12674163
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  • id: 12674164
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  • id: 12674165
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  • id: 12674166
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  • id: 12674167
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  • id: 12674168
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  • id: 12674169
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  • id: 12674170
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  • id: 12674171
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  • id: 12674172
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  • id: 12674173
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  • id: 12674174
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  • id: 12674175
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  • id: 12674176
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  • id: 12674177
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  • id: 12674178
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  • id: 12674179
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  • id: 12674180
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  • id: 12674181
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  • id: 12674182
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  • id: 12674183
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  • id: 12674184
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  • id: 12674185
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  • id: 12674186
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  • id: 12674187
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  • id: 12674188
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  • id: 12674189
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  • id: 12674190
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  • id: 12674191
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  • id: 12674192
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  • id: 12674193
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  • id: 12674194
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  • id: 12674195
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  • id: 12674196
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  • id: 12674197
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  • id: 12674198
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  • id: 12674199
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  • id: 12674200
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  • id: 12674201
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  • id: 12674202
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  • id: 12674203
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  • id: 12674204
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  • id: 12674205
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  • id: 12674206
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  • id: 12674207
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  • id: 12674208
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  • id: 12674209
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  • id: 12674210
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  • id: 12674211
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  • id: 12674212
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  • id: 12674213
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  • id: 12674214
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  • id: 12674215
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  • id: 12674216
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  • id: 12674217
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  • id: 12674218
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  • id: 12674219
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  • id: 12674220
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  • id: 12674221
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  • id: 12674222
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  • id: 12674224
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  • id: 12674225
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  • id: 12674226
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  • id: 12674227
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  • id: 12674228
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  • id: 12674229
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  • id: 12674230
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  • id: 12674231
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  • id: 12674232
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  • id: 12674233
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  • id: 12674234
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  • id: 12674235
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  • id: 12674236
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  • id: 12674237
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  • id: 12674238
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  • id: 12674239
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  • id: 12674240
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  • id: 12674241
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  • id: 12674242
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  • id: 12674243
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  • id: 12674244
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  • id: 12674870
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  • id: 12674871
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  • id: 12674877
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  • id: 12674878
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  • id: 12674880
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  • id: 12674881
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  • id: 12674890
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  • id: 12674893
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  • id: 12674896
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  • id: 12674897
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  • id: 12674902
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  • id: 12674906
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  • id: 12674907
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  • id: 12674908
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  • id: 12674910
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  • id: 12674911
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  • id: 12674912
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  • id: 12674913
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  • id: 12674914
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  • id: 12674915
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  • id: 12674916
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  • id: 12674917
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  • id: 12674918
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  • id: 12674919
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  • id: 12674920
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  • id: 12674921
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  • id: 12674922
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  • id: 12674923
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  • id: 12674924
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  • id: 12674925
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  • id: 12674926
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  • id: 12674927
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  • id: 12674928
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  • id: 12674929
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  • id: 12674930
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  • id: 12674931
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  • id: 12674932
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  • id: 12674933
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  • id: 12674934
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  • id: 12674935
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  • id: 12674936
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  • id: 12674937
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  • id: 12674938
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  • id: 12674939
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  • id: 12674940
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  • id: 12674941
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  • id: 12674942
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  • id: 12674943
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  • id: 12674944
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  • id: 12674945
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  • id: 12674946
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  • id: 12674947
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  • id: 12674948
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  • id: 12674949
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  • id: 12674951
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  • id: 12674952
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  • id: 12674953
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  • id: 12674954
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  • id: 12674955
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  • id: 12674956
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  • id: 12674957
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  • id: 12674958
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  • id: 12674960
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  • id: 12674961
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  • id: 12674962
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  • id: 12674963
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  • id: 12674967
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  • id: 12674968
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  • id: 12674969
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  • id: 12674970
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  • id: 12674971
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  • id: 12674972
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  • id: 12674973
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  • id: 12674974
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  • id: 12674976
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  • id: 12674977
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  • id: 12674978
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  • id: 12674979
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  • id: 12674980
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  • id: 12674981
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  • id: 12674982
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  • id: 12674983
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  • id: 12674984
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  • id: 12674985
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  • id: 12674986
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  • id: 12674988
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  • id: 12674989
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  • id: 12674990
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  • id: 12674991
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  • id: 12674992
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  • id: 12674993
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  • id: 12674994
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  • id: 12674995
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  • id: 12674996
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  • id: 12674998
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  • id: 12674999
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