Embedded newform data - 98.10.a.f.1.1

Formats: - HTML - YAML - JSON - 2025-12-17T01:10:57.129615

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 9800, 'analytic_conductor': 50.47351194405957, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [7, -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': [98, 1, [3], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 424, 'field_disc_factorization': [[2, 3], [53, 1]], 'field_poly': [-106, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [-15264, 0, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22517998304624738, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '98.10.a.f', 'level': 98, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '98.10.a.f', 'nf_label': '2.2.424.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{4}q^{2}+3\\beta q^{3}+2^{8}q^{4}-31\\beta q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '98.10.a', 'trace_display': [32, 0, 0, 0], 'trace_hash': 2183246665668988353, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.953', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '16.038', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '164.225', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.506', 'prec': 17}, 'traces': [2, 32, 0, 512, 0, 0, 0, 8192, -8838, 0, -55288, 0, 0, 0, -315456, 131072, 0, -141408, 0, 0, 0, -884608, -1071408, 0, -646538, 0, 0, 0, -5182012, -5047296, 0, 2097152, 0, 0, 0, -2262528, -35615820, 0, 20586048, 0, 0, 0, -17519512, -14153728, 0, -17142528, 0, 0, 0, -10344608, -136948608, 0, -166976980, 0, 0, 0, 84878016, -82912192, 0, -80756736, 0, 0, 0, 33554432, -212722496, 0, -370985848, 0, 0, 0, 740541344, -36200448, 0, -569853120, 0, 0, 0, 329376768, -1039814512, 0, -561827502, 0, 0, 0, 1415135616, -280312192, 0, -226459648, 0, 0, 0, -274280448, -1506597504, 0, -877072832, 0, 0, 0, 244317672, -165513728, 0, -2191177728, 0, 0, 0, -2671631680, -1669775144, 0, 2051253860, 0, 0, 0, -931804604, 1358048256, 0, -1326595072, 0, 0, 0, -1292107776, 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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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-0.29361543889233777, -0.2540608705004299, -0.12564945107976405, -0.29918041786503224, -0.11691295561357141, -0.18384471525702617, -0.30658095055337314, -0.3287176281313888, -0.15824438980177039, -0.30152180690919067, -0.21495551423685919, -0.3381826899576525, -0.25207589068480246, -0.36968590554544306, -0.40195419970526575], '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': -10.295630140987, 'hecke_orbit': 6, 'hecke_orbit_code': 22517998304624738, 'label': '98.10.a.f.1.1', 'level': 98, 'weight': 10}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [7, 8, 9, 7], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [4, 4, 4, 4], 'ALdims_old': [21, 23, 21, 22], 'Nk2': 9800, 'analytic_conductor': 50.47351194405957, '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': [98, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 118, 'dim': 31, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 167772258, 'hecke_orbit_dims': [1, 1, 1, 2, 2, 2, 3, 3, 3, 3, 4, 6], 'label': '98.10.a', 'level': 98, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 134, 'mf_new_dim': 31, 'num_forms': 12, 'plus_dim': 14, 'prim_orbit_index': 1, 'relative_dim': 31, 'sturm_bound': 140, 'trace_bound': 3, 'trace_display': [16, 6, 756, 0], 'traces': [31, 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-227968548864], 'weight': 10, '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: 45084660
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998304624738, 'source_is_minimal': True, 'source_label': '98.10.a.f.1.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998304624738, 'target_is_minimal': True, 'target_label': '98.10.a.f.1.1', 'target_level': 98, 'twist_class_label': '98.10.a.f.1.1', 'twist_class_level': 98, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 45084661
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998304624738, 'source_is_minimal': True, 'source_label': '98.10.a.f.1.1', 'source_level': 98, 'target_conrey_index': 67, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021735370948706, 'target_is_minimal': False, 'target_label': '98.10.c.g.67.2', 'target_level': 98, 'twist_class_label': '98.10.a.f.1.1', 'twist_class_level': 98, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 45084662
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998304624738, 'source_is_minimal': True, 'source_label': '98.10.a.f.1.1', 'source_level': 98, 'target_conrey_index': 79, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021735370948706, 'target_is_minimal': False, 'target_label': '98.10.c.g.79.1', 'target_level': 98, 'twist_class_label': '98.10.a.f.1.1', 'twist_class_level': 98, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 45084663
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998304624738, 'source_is_minimal': True, 'source_label': '98.10.a.f.1.1', 'source_level': 98, 'target_conrey_index': 79, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021735370948706, 'target_is_minimal': False, 'target_label': '98.10.c.g.79.2', 'target_level': 98, 'twist_class_label': '98.10.a.f.1.1', 'twist_class_level': 98, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 10}
  • id: 45084664
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998304624738, 'source_is_minimal': True, 'source_label': '98.10.a.f.1.1', 'source_level': 98, 'target_conrey_index': 67, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021735370948706, 'target_is_minimal': False, 'target_label': '98.10.c.g.67.1', 'target_level': 98, 'twist_class_label': '98.10.a.f.1.1', 'twist_class_level': 98, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 10}
  • id: 45084665
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998304624738, 'source_is_minimal': True, 'source_label': '98.10.a.f.1.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22517998304624738, 'target_is_minimal': True, 'target_label': '98.10.a.f.1.2', 'target_level': 98, 'twist_class_label': '98.10.a.f.1.1', 'twist_class_level': 98, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 290500
    {'charpoly_factorization': [[[-16, 1], 2]], 'hecke_orbit_code': 22517998304624738, 'p': 2}
  • id: 290501
    {'charpoly_factorization': [[[-15264, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, 'p': 3}
  • id: 290502
    {'charpoly_factorization': [[[-1629856, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, 'p': 5}
  • id: 290503
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 22517998304624738, 'p': 7}
  • id: 290504
    {'charpoly_factorization': [[[27644, 1], 2]], 'hecke_orbit_code': 22517998304624738, 'p': 11}
  • id: 290505
    {'charpoly_factorization': [[[-6940929184, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, 'p': 13}
  • id: 290506
    {'charpoly_factorization': [[[-307175727744, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, 'p': 17}
  • id: 290507
    {'charpoly_factorization': [[[-117994588576, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, 'p': 19}
  • id: 290508
    {'charpoly_factorization': [[[535704, 1], 2]], 'hecke_orbit_code': 22517998304624738, 'p': 23}
  • id: 290509
    {'charpoly_factorization': [[[2591006, 1], 2]], 'hecke_orbit_code': 22517998304624738, 'p': 29}
  • id: 290510
    {'charpoly_factorization': [[[-37176297809536, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, 'p': 31}
  • id: 290511
    {'charpoly_factorization': [[[17807910, 1], 2]], 'hecke_orbit_code': 22517998304624738, 'p': 37}
  • id: 290512
    {'charpoly_factorization': [[[-932312422855296, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, 'p': 41}
  • id: 290513
    {'charpoly_factorization': [[[8759756, 1], 2]], 'hecke_orbit_code': 22517998304624738, 'p': 43}
  • id: 290514
    {'charpoly_factorization': [[[-743814320619136, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, 'p': 47}
  • id: 290515
    {'charpoly_factorization': [[[83488490, 1], 2]], 'hecke_orbit_code': 22517998304624738, 'p': 53}
  • id: 290516
    {'charpoly_factorization': [[[-6649999145492896, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, 'p': 59}
  • id: 290517
    {'charpoly_factorization': [[[-2484447683140000, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, 'p': 61}
  • id: 290518
    {'charpoly_factorization': [[[185492924, 1], 2]], 'hecke_orbit_code': 22517998304624738, 'p': 67}
  • id: 290519
    {'charpoly_factorization': [[[-370270672, 1], 2]], 'hecke_orbit_code': 22517998304624738, 'p': 71}
  • id: 290520
    {'charpoly_factorization': [[[-60521186047983616, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, 'p': 73}
  • id: 290521
    {'charpoly_factorization': [[[519907256, 1], 2]], 'hecke_orbit_code': 22517998304624738, 'p': 79}
  • id: 290522
    {'charpoly_factorization': [[[-89334548087781024, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, 'p': 83}
  • id: 290523
    {'charpoly_factorization': [[[-88522261344722944, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, 'p': 89}
  • id: 290524
    {'charpoly_factorization': [[[-609545102155561600, 0, 1], 1]], 'hecke_orbit_code': 22517998304624738, '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': 6, 'label': '98.10.a.f', 'level': 98, 'portrait': 'data:image/png;base64,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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 43887841
    {'hecke_orbit_code': 22517998304624738, 'n': 1, 'trace_an': 2}
  • id: 43887842
    {'hecke_orbit_code': 22517998304624738, 'n': 2, 'trace_an': 32}
  • id: 43887843
    {'hecke_orbit_code': 22517998304624738, 'n': 3, 'trace_an': 0}
  • id: 43887844
    {'hecke_orbit_code': 22517998304624738, 'n': 4, 'trace_an': 512}
  • id: 43887845
    {'hecke_orbit_code': 22517998304624738, 'n': 5, 'trace_an': 0}
  • id: 43887846
    {'hecke_orbit_code': 22517998304624738, 'n': 6, 'trace_an': 0}
  • id: 43887847
    {'hecke_orbit_code': 22517998304624738, 'n': 7, 'trace_an': 0}
  • id: 43887848
    {'hecke_orbit_code': 22517998304624738, 'n': 8, 'trace_an': 8192}
  • id: 43887849
    {'hecke_orbit_code': 22517998304624738, 'n': 9, 'trace_an': -8838}
  • id: 43887850
    {'hecke_orbit_code': 22517998304624738, 'n': 10, 'trace_an': 0}
  • id: 43887851
    {'hecke_orbit_code': 22517998304624738, 'n': 11, 'trace_an': -55288}
  • id: 43887852
    {'hecke_orbit_code': 22517998304624738, 'n': 12, 'trace_an': 0}
  • id: 43887853
    {'hecke_orbit_code': 22517998304624738, 'n': 13, 'trace_an': 0}
  • id: 43887854
    {'hecke_orbit_code': 22517998304624738, 'n': 14, 'trace_an': 0}
  • id: 43887855
    {'hecke_orbit_code': 22517998304624738, 'n': 15, 'trace_an': -315456}
  • id: 43887856
    {'hecke_orbit_code': 22517998304624738, 'n': 16, 'trace_an': 131072}
  • id: 43887857
    {'hecke_orbit_code': 22517998304624738, 'n': 17, 'trace_an': 0}
  • id: 43887858
    {'hecke_orbit_code': 22517998304624738, 'n': 18, 'trace_an': -141408}
  • id: 43887859
    {'hecke_orbit_code': 22517998304624738, 'n': 19, 'trace_an': 0}
  • id: 43887860
    {'hecke_orbit_code': 22517998304624738, 'n': 20, 'trace_an': 0}
  • id: 43887861
    {'hecke_orbit_code': 22517998304624738, 'n': 21, 'trace_an': 0}
  • id: 43887862
    {'hecke_orbit_code': 22517998304624738, 'n': 22, 'trace_an': -884608}
  • id: 43887863
    {'hecke_orbit_code': 22517998304624738, 'n': 23, 'trace_an': -1071408}
  • id: 43887864
    {'hecke_orbit_code': 22517998304624738, 'n': 24, 'trace_an': 0}
  • id: 43887865
    {'hecke_orbit_code': 22517998304624738, 'n': 25, 'trace_an': -646538}
  • id: 43887866
    {'hecke_orbit_code': 22517998304624738, 'n': 26, 'trace_an': 0}
  • id: 43887867
    {'hecke_orbit_code': 22517998304624738, 'n': 27, 'trace_an': 0}
  • id: 43887868
    {'hecke_orbit_code': 22517998304624738, 'n': 28, 'trace_an': 0}
  • id: 43887869
    {'hecke_orbit_code': 22517998304624738, 'n': 29, 'trace_an': -5182012}
  • id: 43887870
    {'hecke_orbit_code': 22517998304624738, 'n': 30, 'trace_an': -5047296}
  • id: 43887871
    {'hecke_orbit_code': 22517998304624738, 'n': 31, 'trace_an': 0}
  • id: 43887872
    {'hecke_orbit_code': 22517998304624738, 'n': 32, 'trace_an': 2097152}
  • id: 43887873
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  • id: 43888064
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  • id: 43888065
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  • id: 43888066
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  • id: 43888067
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  • id: 43888068
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  • id: 43888069
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  • id: 43888070
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  • id: 43888071
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  • id: 43888072
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  • id: 43888073
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  • id: 43888074
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  • id: 43888075
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  • id: 43888076
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  • id: 43888077
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  • id: 43888078
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  • id: 43888079
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  • id: 43888080
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  • id: 43888081
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  • id: 43888082
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  • id: 43888083
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  • id: 43888084
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  • id: 43888085
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  • id: 43888086
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  • id: 43888087
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  • id: 43888088
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  • id: 43888089
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  • id: 43888090
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  • id: 43888091
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  • id: 43888092
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  • id: 43888093
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  • id: 43888094
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  • id: 43888095
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  • id: 43888096
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  • id: 43888097
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  • id: 43888098
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