Embedded newform data - 2160.2.a.ba.1.2

Formats: - HTML - YAML - JSON - 2024-04-28T11:38:47.614240

• 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': 8640, 'analytic_conductor': 17.247686836596564, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [5, -1]], 'atkin_lehner_string': '---', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2160, 1, [271, 1621, 2081, 1297], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 13, 'field_disc_factorization': [[13, 1]], 'field_poly': [-3, -1, 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': [[7, [-12, 2, 1]], [11, [-12, 2, 1]], [13, [-4, -6, 1]], [17, [-9, 4, 1]]], 'hecke_orbit': 27, 'hecke_orbit_code': 117093590345189488, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2160.2.a.ba', 'level': 2160, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '135.2.a.c', 'nf_label': '2.2.13.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{5}+(-1-\\beta )q^{7}+(-1+\\beta )q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2160.2.a', 'trace_display': [0, 0, 2, -2], 'trace_hash': 778160155611077357, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.974', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.027', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.375', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.179', 'prec': 17}, {'__RealLiteral__': 0, 'data': '61.756', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.032', 'prec': 17}, 'traces': [2, 0, 0, 0, 2, 0, -2, 0, 0, 0, -2, 0, 6, 0, 0, 0, -4, 0, 0, 0, 0, 0, 6, 0, 2, 0, 0, 0, 10, 0, 4, 0, 0, 0, -2, 0, 4, 0, 0, 0, -2, 0, 6, 0, 0, 0, 4, 0, 14, 0, 0, 0, -4, 0, -2, 0, 0, 0, 10, 0, 6, 0, 0, 0, 6, 0, 16, 0, 0, 0, -22, 0, 18, 0, 0, 0, -24, 0, 16, 0, 0, 0, -6, 0, -4, 0, 0, 0, -6, 0, 20, 0, 0, 0, 0, 0, 16, 0, 0, 0, 24, 0, 8, 0, 0, 0, 0, 0, -14, 0, 0, 0, -16, 0, 6, 0, 0, 0, 30, 0, 6, 0, 0, 0, 2, 0, 24, 0, 0, 0, -12, 0, -26, 0, 0, 0, 12, 0, 8, 0, 0, 0, -32, 0, 10, 0, 0, 0, 10, 0, 0, 0, 0, 0, 4, 0, -14, 0, 0, 0, -6, 0, -4, 0, 0, 0, 6, 0, 18, 0, 0, 0, 0, 0, -2, 0, 0, 0, 28, 0, -14, 0, 0, 0, 4, 0, -22, 0, 0, 0, -4, 0, 22, 0, 0, 0, -24, 0, -12, 0, 0, 0, -36, 0, -2, 0, 0, 0, 26, 0, -4, 0, 0, 0, 6, 0, 22, 0, 0, 0, 14, 0, 20, 0, 0, 0, 38, 0, 2, 0, 0, 0, -36, 0, 4, 0, 0, 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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-0.19772645200641886], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.3027756377319946, 'hecke_orbit': 27, 'hecke_orbit_code': 117093590345189488, 'label': '2160.2.a.ba.1.2', 'level': 2160, 'weight': 2}
• 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], [3, -1], [5, 1]], 3, 3], [[[2, -1], [3, -1], [5, -1]], 5, 4], [[[2, 1], [3, -1], [5, -1]], 3, 3], [[[2, -1], [3, 1], [5, 1]], 5, 4], [[[2, -1], [3, 1], [5, -1]], 3, 3], [[[2, 1], [3, 1], [5, -1]], 5, 4], [[[2, 1], [3, 1], [5, 1]], 5, 4], [[[2, -1], [3, -1], [5, 1]], 3, 3]], 'ALdims': [5, 5, 3, 3, 5, 3, 3, 5], 'Nk2': 8640, 'analytic_conductor': 17.247686836596564, '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': [2160, 1, [271, 1621, 2081, 1297], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 397, 'dim': 32, 'eis_dim': 71, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13, 17], 'hecke_orbit_code': 33556592, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2], 'label': '2160.2.a', 'level': 2160, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 468, 'mf_new_dim': 32, 'num_forms': 28, 'plus_dim': 14, 'prim_orbit_index': 1, 'relative_dim': 32, 'sturm_bound': 864, 'trace_bound': 13, 'trace_display': [0, 0, 0, 4], 'traces': [32, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 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0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -156, 0, 0, 0, 0, 0, 560, 0, 0, 0, 0, 0, 424, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, 128, 0, 0, 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: 48599947
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 117093590345189488, 'target_is_minimal': False, 'target_label': '2160.2.a.ba.1.2', 'target_level': 2160, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48599948
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 108086391090448496, 'target_is_minimal': False, 'target_label': '2160.2.a.y.1.2', 'target_level': 2160, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48599949
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288295559, 'target_is_minimal': True, 'target_label': '135.2.a.c.1.1', 'target_level': 135, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48599950
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 310748374322127296, 'target_is_minimal': False, 'target_label': '8640.2.a.cr.1.1', 'target_level': 8640, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48599951
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 279223176930533824, 'target_is_minimal': False, 'target_label': '8640.2.a.ck.1.2', 'target_level': 8640, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48599952
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510798915666055, 'target_is_minimal': True, 'target_label': '135.2.a.d.1.2', 'target_level': 135, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48599953
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 649, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36028865771995811, 'target_is_minimal': False, 'target_label': '675.2.b.i.649.4', 'target_level': 675, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48599954
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 649, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028865771995811, 'target_is_minimal': False, 'target_label': '675.2.b.i.649.1', 'target_level': 675, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 48599955
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67553994444112547, 'target_is_minimal': False, 'target_label': '675.2.a.p.1.2', 'target_level': 675, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 48599956
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 342273571713720768, 'target_is_minimal': False, 'target_label': '8640.2.a.cy.1.2', 'target_level': 8640, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48599957
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 373798769105314240, 'target_is_minimal': False, 'target_label': '8640.2.a.df.1.1', 'target_level': 8640, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48599958
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444118487, 'target_is_minimal': False, 'target_label': '6615.2.a.p.1.1', 'target_level': 6615, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 48599959
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 271, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45036271185166741, 'target_is_minimal': False, 'target_label': '405.2.e.k.271.2', 'target_level': 405, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 48599960
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 271, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532671557796245, 'target_is_minimal': False, 'target_label': '405.2.e.j.271.1', 'target_level': 405, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48599961
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 136, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532671557796245, 'target_is_minimal': False, 'target_label': '405.2.e.j.136.1', 'target_level': 405, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '36.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 48599962
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 136, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45036271185166741, 'target_is_minimal': False, 'target_label': '405.2.e.k.136.2', 'target_level': 405, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '36.31', 'twisting_conrey_index': 31, 'weight': 2}
  • id: 48599963
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 649, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525266144625315, 'target_is_minimal': False, 'target_label': '675.2.b.h.649.1', 'target_level': 675, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 48599964
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 649, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31525266144625315, 'target_is_minimal': False, 'target_label': '675.2.b.h.649.4', 'target_level': 675, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 48599965
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307260067, 'target_is_minimal': False, 'target_label': '675.2.a.k.1.1', 'target_level': 675, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 48599966
    {'conductor': 84, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345189488, 'source_is_minimal': False, 'source_label': '2160.2.a.ba.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 94575592208341463, 'target_is_minimal': False, 'target_label': '6615.2.a.v.1.2', 'target_level': 6615, 'twist_class_label': '135.2.a.c.1.1', 'twist_class_level': 135, 'twisting_char_label': '84.83', 'twisting_conrey_index': 83, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2460500
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 117093590345189488, 'p': 2}
  • id: 2460501
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 117093590345189488, 'p': 3}
  • id: 2460502
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 117093590345189488, 'p': 5}
  • id: 2460503
    {'charpoly_factorization': [[[-12, 2, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 7}
  • id: 2460504
    {'charpoly_factorization': [[[-12, 2, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 11}
  • id: 2460505
    {'charpoly_factorization': [[[-4, -6, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 13}
  • id: 2460506
    {'charpoly_factorization': [[[-9, 4, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 17}
  • id: 2460507
    {'charpoly_factorization': [[[-13, 0, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 19}
  • id: 2460508
    {'charpoly_factorization': [[[-3, 1], 2]], 'hecke_orbit_code': 117093590345189488, 'p': 23}
  • id: 2460509
    {'charpoly_factorization': [[[12, -10, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 29}
  • id: 2460510
    {'charpoly_factorization': [[[-9, -4, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 31}
  • id: 2460511
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 117093590345189488, 'p': 37}
  • id: 2460512
    {'charpoly_factorization': [[[-12, 2, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 41}
  • id: 2460513
    {'charpoly_factorization': [[[-4, -6, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 43}
  • id: 2460514
    {'charpoly_factorization': [[[-48, -4, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 47}
  • id: 2460515
    {'charpoly_factorization': [[[-9, 4, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 53}
  • id: 2460516
    {'charpoly_factorization': [[[12, -10, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 59}
  • id: 2460517
    {'charpoly_factorization': [[[-43, -6, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 61}
  • id: 2460518
    {'charpoly_factorization': [[[12, -16, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 67}
  • id: 2460519
    {'charpoly_factorization': [[[108, 22, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 71}
  • id: 2460520
    {'charpoly_factorization': [[[68, -18, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 73}
  • id: 2460521
    {'charpoly_factorization': [[[51, -16, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 79}
  • id: 2460522
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 117093590345189488, 'p': 83}
  • id: 2460523
    {'charpoly_factorization': [[[-108, 6, 1], 1]], 'hecke_orbit_code': 117093590345189488, 'p': 89}
  • id: 2460524
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 117093590345189488, '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': 27, 'label': '2160.2.a.ba', 'level': 2160, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 260195000
    {'hecke_orbit_code': 117093590345189488, 'n': 1, 'trace_an': 2}
  • id: 260195001
    {'hecke_orbit_code': 117093590345189488, 'n': 2, 'trace_an': 0}
  • id: 260195002
    {'hecke_orbit_code': 117093590345189488, 'n': 3, 'trace_an': 0}
  • id: 260195003
    {'hecke_orbit_code': 117093590345189488, 'n': 4, 'trace_an': 0}
  • id: 260195004
    {'hecke_orbit_code': 117093590345189488, 'n': 5, 'trace_an': 2}
  • id: 260195005
    {'hecke_orbit_code': 117093590345189488, 'n': 6, 'trace_an': 0}
  • id: 260195006
    {'hecke_orbit_code': 117093590345189488, 'n': 7, 'trace_an': -2}
  • id: 260195007
    {'hecke_orbit_code': 117093590345189488, 'n': 8, 'trace_an': 0}
  • id: 260195008
    {'hecke_orbit_code': 117093590345189488, 'n': 9, 'trace_an': 0}
  • id: 260195009
    {'hecke_orbit_code': 117093590345189488, 'n': 10, 'trace_an': 0}
  • id: 260195010
    {'hecke_orbit_code': 117093590345189488, 'n': 11, 'trace_an': -2}
  • id: 260195011
    {'hecke_orbit_code': 117093590345189488, 'n': 12, 'trace_an': 0}
  • id: 260195012
    {'hecke_orbit_code': 117093590345189488, 'n': 13, 'trace_an': 6}
  • id: 260195013
    {'hecke_orbit_code': 117093590345189488, 'n': 14, 'trace_an': 0}
  • id: 260195014
    {'hecke_orbit_code': 117093590345189488, 'n': 15, 'trace_an': 0}
  • id: 260195015
    {'hecke_orbit_code': 117093590345189488, 'n': 16, 'trace_an': 0}
  • id: 260195016
    {'hecke_orbit_code': 117093590345189488, 'n': 17, 'trace_an': -4}
  • id: 260195017
    {'hecke_orbit_code': 117093590345189488, 'n': 18, 'trace_an': 0}
  • id: 260195018
    {'hecke_orbit_code': 117093590345189488, 'n': 19, 'trace_an': 0}
  • id: 260195019
    {'hecke_orbit_code': 117093590345189488, 'n': 20, 'trace_an': 0}
  • id: 260195020
    {'hecke_orbit_code': 117093590345189488, 'n': 21, 'trace_an': 0}
  • id: 260195021
    {'hecke_orbit_code': 117093590345189488, 'n': 22, 'trace_an': 0}
  • id: 260195022
    {'hecke_orbit_code': 117093590345189488, 'n': 23, 'trace_an': 6}
  • id: 260195023
    {'hecke_orbit_code': 117093590345189488, 'n': 24, 'trace_an': 0}
  • id: 260195024
    {'hecke_orbit_code': 117093590345189488, 'n': 25, 'trace_an': 2}
  • id: 260195025
    {'hecke_orbit_code': 117093590345189488, 'n': 26, 'trace_an': 0}
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  • id: 260195219
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  • id: 260195220
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  • id: 260195228
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  • id: 260195234
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  • id: 260195412
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  • id: 260195413
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  • id: 260195414
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  • id: 260195415
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  • id: 260195416
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  • id: 260195417
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  • id: 260195418
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  • id: 260195419
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  • id: 260195420
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  • id: 260195421
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  • id: 260195422
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  • id: 260195423
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  • id: 260195424
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  • id: 260195425
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  • id: 260195426
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  • id: 260195427
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  • id: 260195428
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  • id: 260195429
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  • id: 260195430
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  • id: 260195431
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  • id: 260195432
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  • id: 260195433
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  • id: 260195434
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  • id: 260195435
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  • id: 260195436
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  • id: 260195437
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  • id: 260195438
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  • id: 260195439
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  • id: 260195440
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  • id: 260195441
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  • id: 260195442
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  • id: 260195443
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  • id: 260195444
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  • id: 260195445
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  • id: 260195446
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  • id: 260195447
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  • id: 260195448
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  • id: 260195449
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  • id: 260195450
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  • id: 260195451
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  • id: 260195452
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  • id: 260195453
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  • id: 260195454
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  • id: 260195455
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  • id: 260195456
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  • id: 260195457
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  • id: 260195458
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  • id: 260195459
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  • id: 260195460
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  • id: 260195461
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  • id: 260195462
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  • id: 260195463
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  • id: 260195464
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  • id: 260195465
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  • id: 260195466
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  • id: 260195467
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  • id: 260195468
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  • id: 260195469
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  • id: 260195470
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  • id: 260195471
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  • id: 260195472
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  • id: 260195473
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  • id: 260195474
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  • id: 260195475
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  • id: 260195476
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  • id: 260195477
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  • id: 260195478
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  • id: 260195479
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  • id: 260195480
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  • id: 260195481
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  • id: 260195482
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  • id: 260195483
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  • id: 260195484
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  • id: 260195485
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  • id: 260195486
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  • id: 260195487
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  • id: 260195488
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  • id: 260195489
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  • id: 260195490
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  • id: 260195491
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  • id: 260195492
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  • id: 260195493
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  • id: 260195494
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  • id: 260195495
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  • id: 260195496
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  • id: 260195497
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  • id: 260195498
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  • id: 260195499
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  • id: 260195500
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  • id: 260195501
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  • id: 260195502
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  • id: 260195503
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  • id: 260195504
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  • id: 260195505
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  • id: 260195506
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  • id: 260195507
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  • id: 260195508
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  • id: 260195509
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  • id: 260195510
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  • id: 260195511
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  • id: 260195512
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  • id: 260195513
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  • id: 260195514
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  • id: 260195515
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  • id: 260195516
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  • id: 260195517
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  • id: 260195518
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  • id: 260195519
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  • id: 260195520
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  • id: 260195521
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  • id: 260195522
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  • id: 260195523
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  • id: 260195524
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  • id: 260195525
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  • id: 260195526
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  • id: 260195527
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  • id: 260195528
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  • id: 260195529
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  • id: 260195530
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  • id: 260195531
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  • id: 260195532
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  • id: 260195533
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  • id: 260195534
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  • id: 260195535
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  • id: 260195536
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  • id: 260195537
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  • id: 260195538
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  • id: 260195539
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  • id: 260195540
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  • id: 260195541
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  • id: 260195542
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  • id: 260195543
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  • id: 260195544
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  • id: 260195545
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  • id: 260195546
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  • id: 260195547
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  • id: 260195548
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  • id: 260195549
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  • id: 260195550
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  • id: 260195551
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  • id: 260195552
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  • id: 260195553
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  • id: 260195554
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  • id: 260195555
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  • id: 260195556
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  • id: 260195557
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  • id: 260195558
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  • id: 260195559
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  • id: 260195560
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  • id: 260195561
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  • id: 260195562
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  • id: 260195563
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  • id: 260195564
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  • id: 260195565
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  • id: 260195566
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  • id: 260195567
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  • id: 260195568
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  • id: 260195569
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  • id: 260195570
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  • id: 260195571
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  • id: 260195572
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  • id: 260195573
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  • id: 260195574
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  • id: 260195575
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  • id: 260195576
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  • id: 260195577
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  • id: 260195578
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  • id: 260195579
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  • id: 260195580
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  • id: 260195581
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  • id: 260195582
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  • id: 260195583
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  • id: 260195584
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  • id: 260195585
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  • id: 260195586
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  • id: 260195587
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  • id: 260195588
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  • id: 260195589
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  • id: 260195590
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  • id: 260195591
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  • id: 260195592
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  • id: 260195593
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  • id: 260195594
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  • id: 260195595
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  • id: 260195596
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  • id: 260195597
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  • id: 260195598
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  • id: 260195599
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  • id: 260195600
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  • id: 260195601
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  • id: 260195602
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  • id: 260195603
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  • id: 260195795
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  • id: 260195796
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  • id: 260195797
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  • id: 260195798
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  • id: 260195799
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  • id: 260195800
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  • id: 260195801
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  • id: 260195802
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  • id: 260195803
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  • id: 260195804
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  • id: 260195805
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  • id: 260195806
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  • id: 260195807
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  • id: 260195808
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  • id: 260195809
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  • id: 260195810
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  • id: 260195811
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  • id: 260195812
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  • id: 260195813
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  • id: 260195814
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  • id: 260195815
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  • id: 260195816
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  • id: 260195817
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  • id: 260195818
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  • id: 260195819
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  • id: 260195820
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  • id: 260195821
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  • id: 260195822
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  • id: 260195823
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  • id: 260195824
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  • id: 260195825
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  • id: 260195826
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  • id: 260195827
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  • id: 260195828
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  • id: 260195829
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  • id: 260195830
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  • id: 260195831
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  • id: 260195832
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  • id: 260195833
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  • id: 260195834
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  • id: 260195835
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  • id: 260195836
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  • id: 260195837
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  • id: 260195838
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  • id: 260195839
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  • id: 260195840
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  • id: 260195841
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  • id: 260195842
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  • id: 260195844
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  • id: 260195845
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  • id: 260195846
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  • id: 260195847
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  • id: 260195853
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  • id: 260195856
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  • id: 260195860
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  • id: 260195861
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  • id: 260195862
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  • id: 260195864
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  • id: 260195865
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  • id: 260195867
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  • id: 260195868
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  • id: 260195869
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  • id: 260195870
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  • id: 260195871
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  • id: 260195873
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  • id: 260195879
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  • id: 260195880
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  • id: 260195881
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  • id: 260195883
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  • id: 260195887
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  • id: 260195888
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  • id: 260195889
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  • id: 260195890
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  • id: 260195891
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  • id: 260195892
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  • id: 260195893
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  • id: 260195894
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  • id: 260195895
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  • id: 260195896
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  • id: 260195897
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  • id: 260195899
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  • id: 260195900
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  • id: 260195901
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  • id: 260195902
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  • id: 260195903
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  • id: 260195904
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  • id: 260195905
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  • id: 260195906
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  • id: 260195907
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  • id: 260195910
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  • id: 260195911
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  • id: 260195912
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  • id: 260195913
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  • id: 260195914
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  • id: 260195915
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  • id: 260195916
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  • id: 260195917
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  • id: 260195918
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  • id: 260195919
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  • id: 260195921
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  • id: 260195922
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  • id: 260195923
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  • id: 260195924
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  • id: 260195925
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  • id: 260195926
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  • id: 260195927
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  • id: 260195928
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  • id: 260195929
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  • id: 260195930
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  • id: 260195931
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  • id: 260195932
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  • id: 260195933
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  • id: 260195934
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  • id: 260195935
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  • id: 260195936
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  • id: 260195937
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  • id: 260195938
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  • id: 260195939
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  • id: 260195940
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  • id: 260195941
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  • id: 260195942
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  • id: 260195943
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  • id: 260195944
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  • id: 260195945
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  • id: 260195946
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  • id: 260195947
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  • id: 260195951
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  • id: 260195952
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  • id: 260195954
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  • id: 260195955
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  • id: 260195961
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  • id: 260195964
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  • id: 260195967
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  • id: 260195970
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  • id: 260195971
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  • id: 260195972
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  • id: 260195973
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  • id: 260195975
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  • id: 260195976
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  • id: 260195977
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  • id: 260195978
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  • id: 260195979
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  • id: 260195980
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  • id: 260195981
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  • id: 260195982
    {'hecke_orbit_code': 117093590345189488, 'n': 983, 'trace_an': 42}
  • id: 260195983
    {'hecke_orbit_code': 117093590345189488, 'n': 984, 'trace_an': 0}
  • id: 260195984
    {'hecke_orbit_code': 117093590345189488, 'n': 985, 'trace_an': -24}
  • id: 260195985
    {'hecke_orbit_code': 117093590345189488, 'n': 986, 'trace_an': 0}
  • id: 260195986
    {'hecke_orbit_code': 117093590345189488, 'n': 987, 'trace_an': 0}
  • id: 260195987
    {'hecke_orbit_code': 117093590345189488, 'n': 988, 'trace_an': 0}
  • id: 260195988
    {'hecke_orbit_code': 117093590345189488, 'n': 989, 'trace_an': 18}
  • id: 260195989
    {'hecke_orbit_code': 117093590345189488, 'n': 990, 'trace_an': 0}
  • id: 260195990
    {'hecke_orbit_code': 117093590345189488, 'n': 991, 'trace_an': 80}
  • id: 260195991
    {'hecke_orbit_code': 117093590345189488, 'n': 992, 'trace_an': 0}
  • id: 260195992
    {'hecke_orbit_code': 117093590345189488, 'n': 993, 'trace_an': 0}
  • id: 260195993
    {'hecke_orbit_code': 117093590345189488, 'n': 994, 'trace_an': 0}
  • id: 260195994
    {'hecke_orbit_code': 117093590345189488, 'n': 995, 'trace_an': -12}
  • id: 260195995
    {'hecke_orbit_code': 117093590345189488, 'n': 996, 'trace_an': 0}
  • id: 260195996
    {'hecke_orbit_code': 117093590345189488, 'n': 997, 'trace_an': 14}
  • id: 260195997
    {'hecke_orbit_code': 117093590345189488, 'n': 998, 'trace_an': 0}
  • id: 260195998
    {'hecke_orbit_code': 117093590345189488, 'n': 999, 'trace_an': 0}
  • id: 260195999
    {'hecke_orbit_code': 117093590345189488, 'n': 1000, 'trace_an': 0}