Embedded newform data - 256.12.a.a.1.1

Formats: - HTML - YAML - JSON - 2024-05-12T18:50:35.730676

• 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': 36864, 'analytic_conductor': 196.69585422325474, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -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': [256, 1, [255, 5], [1, 1]], 'cm_discs': [-8], '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, [394, 1]], [5, [0, 1]], [7, [0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 201326848, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 4, -1, 2, -8]], 'is_cm': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '256.12.a.a', 'level': 256, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '64.12.b.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-394q^{3}-21911q^{9}+141906q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '11.2.1.d1', 'self_twist_discs': [-8], 'self_twist_type': 1, 'space_label': '256.12.a', 'trace_display': [0, -394, 0, 0], 'trace_hash': 68513862574545948, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.011', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.024', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.010', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.507', 'prec': 17}, 'traces': [1, 0, -394, 0, 0, 0, 0, 0, -21911, 0, 141906, 0, 0, 0, 0, 0, 5215578, 0, -12105322, 0, 0, 0, 0, 0, -48828125, 0, 78428852, 0, 0, 0, 0, 0, -55910964, 0, 0, 0, 0, 0, 0, 0, 1179887286, 0, -219226270, 0, 0, 0, 0, 0, -1977326743, 0, -2054937732, 0, 0, 0, 0, 0, 4769496868, 0, 10496647794, 0, 0, 0, 0, 0, 0, 0, -21183162938, 0, 0, 0, 0, 0, 34041283054, 0, 19238281250, 0, 0, 0, 0, 0, -27019499771, 0, -10275997626, 0, 0, 0, 0, 0, 103091787198, 0, 0, 0, 0, 0, 0, 0, 69880926730, 0, -3109302366, 0, 0, 0, 0, 0, 0, 0, 27565359762, 0, 0, 0, 0, 0, 389312025714, 0, 0, 0, 0, 0, 0, 0, -265174357775, 0, -464875590684, 0, 0, 0, 0, 0, 86375150380, 0, 445376279718, 0, 0, 0, 0, 0, -323488341258, 0, -753191582462, 0, 0, 0, 0, 0, 0, 0, 779066736742, 0, 0, 0, 0, 0, -114278529558, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2231320640074, 0, 0, 0, 0, 0, -1792160394037, 0, 265239710342, 0, 0, 0, 0, 0, -4135679230836, 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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-0.059724403850347156, -0.25, -0.08489557513708157, -0.08171096080374844, -0.25, -0.25, -0.25], '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': 201326848, 'label': '256.12.a.a.1.1', 'level': 256, 'weight': 12}
• 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]], 42, 9], [[[2, 1]], 44, 8]], 'ALdims': [44, 42], 'Nk2': 36864, 'analytic_conductor': 196.69585422325474, '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': [256, 1, [255, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 340, 'dim': 86, 'eis_dim': 24, 'eis_new_dim': 4, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 201326848, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 4, 4, 6, 6, 8, 8, 8, 10, 10, 12], 'label': '256.12.a', 'level': 256, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 364, 'mf_new_dim': 90, 'num_forms': 17, 'plus_dim': 44, 'prim_orbit_index': 1, 'relative_dim': 86, 'sturm_bound': 384, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [86, 0, 0, 0, 0, 0, 0, 0, 4842022, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 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: 455652
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326848, 'source_is_minimal': False, 'source_label': '256.12.a.a.1.1', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 201326848, 'target_is_minimal': False, 'target_label': '256.12.a.a.1.1', 'target_level': 256, 'twist_class_label': '64.12.b.a.33.1', 'twist_class_level': 64, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 12}
  • id: 455653
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326848, 'source_is_minimal': False, 'source_label': '256.12.a.a.1.1', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510799083438336, 'target_is_minimal': False, 'target_label': '256.12.a.d.1.1', 'target_level': 256, 'twist_class_label': '64.12.b.a.33.1', 'twist_class_level': 64, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 12}
  • id: 455654
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326848, 'source_is_minimal': False, 'source_label': '256.12.a.a.1.1', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 201326848, 'target_is_minimal': False, 'target_label': '256.12.a.a.1.1', 'target_level': 256, 'twist_class_label': '64.12.b.a.33.1', 'twist_class_level': 64, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 12}
  • id: 455655
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326848, 'source_is_minimal': False, 'source_label': '256.12.a.a.1.1', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510799083438336, 'target_is_minimal': False, 'target_label': '256.12.a.d.1.1', 'target_level': 256, 'twist_class_label': '64.12.b.a.33.1', 'twist_class_level': 64, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 12}
  • id: 455656
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326848, 'source_is_minimal': False, 'source_label': '256.12.a.a.1.1', 'source_level': 256, 'target_conrey_index': 33, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68920803392, 'target_is_minimal': True, 'target_label': '64.12.b.a.33.2', 'target_level': 64, 'twist_class_label': '64.12.b.a.33.1', 'twist_class_level': 64, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 12}
  • id: 455657
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326848, 'source_is_minimal': False, 'source_label': '256.12.a.a.1.1', 'source_level': 256, 'target_conrey_index': 33, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68920803392, 'target_is_minimal': True, 'target_label': '64.12.b.a.33.2', 'target_level': 64, 'twist_class_label': '64.12.b.a.33.1', 'twist_class_level': 64, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 12}
  • id: 455658
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326848, 'source_is_minimal': False, 'source_label': '256.12.a.a.1.1', 'source_level': 256, 'target_conrey_index': 33, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68920803392, 'target_is_minimal': True, 'target_label': '64.12.b.a.33.1', 'target_level': 64, 'twist_class_label': '64.12.b.a.33.1', 'twist_class_level': 64, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 12}
  • id: 455659
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326848, 'source_is_minimal': False, 'source_label': '256.12.a.a.1.1', 'source_level': 256, 'target_conrey_index': 33, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68920803392, 'target_is_minimal': True, 'target_label': '64.12.b.a.33.1', 'target_level': 64, 'twist_class_label': '64.12.b.a.33.1', 'twist_class_level': 64, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 12}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 599975
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 2}
  • id: 599976
    {'charpoly_factorization': [[[394, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 3}
  • id: 599977
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 5}
  • id: 599978
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 7}
  • id: 599979
    {'charpoly_factorization': [[[-141906, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 11}
  • id: 599980
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 13}
  • id: 599981
    {'charpoly_factorization': [[[-5215578, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 17}
  • id: 599982
    {'charpoly_factorization': [[[12105322, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 19}
  • id: 599983
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 23}
  • id: 599984
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 29}
  • id: 599985
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 31}
  • id: 599986
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 37}
  • id: 599987
    {'charpoly_factorization': [[[-1179887286, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 41}
  • id: 599988
    {'charpoly_factorization': [[[219226270, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 43}
  • id: 599989
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 47}
  • id: 599990
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 53}
  • id: 599991
    {'charpoly_factorization': [[[-10496647794, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 59}
  • id: 599992
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 61}
  • id: 599993
    {'charpoly_factorization': [[[21183162938, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 67}
  • id: 599994
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 71}
  • id: 599995
    {'charpoly_factorization': [[[-34041283054, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 73}
  • id: 599996
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 79}
  • id: 599997
    {'charpoly_factorization': [[[10275997626, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 83}
  • id: 599998
    {'charpoly_factorization': [[[-103091787198, 1], 1]], 'hecke_orbit_code': 201326848, 'p': 89}
  • id: 599999
    {'charpoly_factorization': [[[-69880926730, 1], 1]], 'hecke_orbit_code': 201326848, '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': '256.12.a.a', 'level': 256, 'portrait': 'data:image/png;base64,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', 'weight': 12}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 14862000
    {'hecke_orbit_code': 201326848, 'n': 1, 'trace_an': 1}
  • id: 14862001
    {'hecke_orbit_code': 201326848, 'n': 2, 'trace_an': 0}
  • id: 14862002
    {'hecke_orbit_code': 201326848, 'n': 3, 'trace_an': -394}
  • id: 14862003
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  • id: 14862004
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  • id: 14862005
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  • id: 14862006
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  • id: 14862007
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  • id: 14862008
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  • id: 14862009
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  • id: 14862010
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  • id: 14862011
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  • id: 14862012
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  • id: 14862013
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  • id: 14862014
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  • id: 14862015
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  • id: 14862016
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  • id: 14862017
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  • id: 14862018
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  • id: 14862019
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  • id: 14862020
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  • id: 14862021
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  • id: 14862022
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  • id: 14862023
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  • id: 14862024
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  • id: 14862025
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  • id: 14862026
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  • id: 14862027
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  • id: 14862028
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  • id: 14862029
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  • id: 14862030
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  • id: 14862031
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  • id: 14862032
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  • id: 14862033
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  • id: 14862035
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  • id: 14862038
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  • id: 14862040
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  • id: 14862041
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  • id: 14862042
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  • id: 14862043
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  • id: 14862044
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  • id: 14862046
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  • id: 14862047
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  • id: 14862048
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  • id: 14862049
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  • id: 14862050
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  • id: 14862051
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  • id: 14862052
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  • id: 14862053
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  • id: 14862054
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  • id: 14862055
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  • id: 14862080
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  • id: 14862082
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  • id: 14862100
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  • id: 14862108
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  • id: 14862109
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  • id: 14862110
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  • id: 14862111
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  • id: 14862112
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  • id: 14862113
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  • id: 14862115
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  • id: 14862116
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  • id: 14862117
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  • id: 14862118
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  • id: 14862119
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  • id: 14862120
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  • id: 14862121
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  • id: 14862122
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  • id: 14862124
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  • id: 14862125
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  • id: 14862130
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