Embedded newform data - 232.6.a.a.1.1

Formats: - HTML - YAML - JSON - 2024-05-18T00:45:16.967065

• 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': 8352, 'analytic_conductor': 37.20904619661151, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [29, -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': [232, 1, [175, 117, 89], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-16, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 100663528, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '232.6.a.a', 'level': 232, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 29], 'level_radical': 58, 'minimal_twist': '232.6.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{4}q^{3}+54q^{5}+112q^{7}+13q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '232.6.a', 'trace_display': [0, 16, 54, 112], 'trace_hash': 2006874606824035436, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.017', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.984', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.037', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.991', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.112', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.080', 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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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'angles': [None, -0.16422991062105646, -0.16977524692604792, -0.1789111865140846, -0.14994363830786664, -0.28823986698040094, -0.19989012206776993, -0.16417718855011962, -0.2978953541307131, None, -0.16712347031277222, -0.2754320579510536, -0.28328966173292963, -0.2314232273648207, -0.23406223363460318, -0.22824189469386838, -0.3199834503096991, -0.2482091778346924, -0.11666763492486842, -0.23972630958692037, -0.15880368372803091, -0.26151531332535544, -0.2722715154349775, -0.18061150658382383, -0.2548216939965688, -0.18131407543830633, -0.18065851297313826, -0.4158189586256744, -0.22748777777345214, -0.06627441523999314, -0.37891579887581855, -0.30979282881606646, -0.1731226956869161, -0.3696554693141251, -0.2892404749647958, -0.2900546767115185, -0.2813062955150978, -0.28845847739850033, -0.4453577695831357, -0.35281310996230064, -0.31956173581676817, -0.34749339435058085, -0.28336225446066554, -0.2953956125621418, -0.31588053592309306, -0.15253252971314718, -0.18584037740789144, 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-0.17202398657345083, -0.3080230164966116, -0.04668489667138357, -0.181377060766124, -0.17745093035654372, -0.1978089582076038, -0.29482158186644003, -0.3066178334754799, -0.3375183727543319, -0.2585433181898146, -0.25319766248437936, -0.23502109931234294, -0.22237981938022872, -0.3481138185073462, -0.27813227572446864, -0.1864032748469996, -0.18015607466274305, -0.2753366198977988, -0.2581604639132012, -0.19352485944622017, -0.30398779810475207, -0.29120118198564865, -0.22088591916095238, -0.2485743350765757, -0.2724368426109047, -0.36814196577918923, -0.3924481520192986, -0.2796209669068221, -0.271453896830757], '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': 100663528, 'label': '232.6.a.a.1.1', 'level': 232, 'weight': 6}
• mf_newspaces •

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

  
  {'AL_dims': [[[[2, -1], [29, -1]], 9, 1], [[[2, 1], [29, -1]], 10, 2], [[[2, -1], [29, 1]], 8, 1], [[[2, 1], [29, 1]], 8, 1]], 'ALdims': [8, 10, 8, 9], 'Nk2': 8352, 'analytic_conductor': 37.20904619661151, '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': [232, 1, [175, 117, 89], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 146, 'dim': 35, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 100663528, 'hecke_orbit_dims': [1, 8, 8, 9, 9], 'label': '232.6.a', 'level': 232, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 29], 'level_radical': 58, 'mf_dim': 154, 'mf_new_dim': 35, 'num_forms': 5, 'plus_dim': 17, 'prim_orbit_index': 1, 'relative_dim': 35, 'sturm_bound': 180, 'trace_bound': 3, 'trace_display': [0, -40, 0, 124], 'traces': [35, 0, -40, 0, 0, 0, 124, 0, 2901, 0, 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'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: 384837
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663528, 'source_is_minimal': True, 'source_label': '232.6.a.a.1.1', 'source_level': 232, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663528, 'target_is_minimal': True, 'target_label': '232.6.a.a.1.1', 'target_level': 232, 'twist_class_label': '232.6.a.a.1.1', 'twist_class_level': 232, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 384838
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663528, 'source_is_minimal': True, 'source_label': '232.6.a.a.1.1', 'source_level': 232, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663760, 'target_is_minimal': False, 'target_label': '464.6.a.a.1.1', 'target_level': 464, 'twist_class_label': '232.6.a.a.1.1', 'twist_class_level': 232, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 552325
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 2}
  • id: 552326
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 3}
  • id: 552327
    {'charpoly_factorization': [[[-54, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 5}
  • id: 552328
    {'charpoly_factorization': [[[-112, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 7}
  • id: 552329
    {'charpoly_factorization': [[[-472, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 11}
  • id: 552330
    {'charpoly_factorization': [[[290, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 13}
  • id: 552331
    {'charpoly_factorization': [[[-738, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 17}
  • id: 552332
    {'charpoly_factorization': [[[-1616, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 19}
  • id: 552333
    {'charpoly_factorization': [[[1504, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 23}
  • id: 552334
    {'charpoly_factorization': [[[-841, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 29}
  • id: 552335
    {'charpoly_factorization': [[[-5324, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 31}
  • id: 552336
    {'charpoly_factorization': [[[2650, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 37}
  • id: 552337
    {'charpoly_factorization': [[[4470, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 41}
  • id: 552338
    {'charpoly_factorization': [[[-2824, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 43}
  • id: 552339
    {'charpoly_factorization': [[[-3028, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 47}
  • id: 552340
    {'charpoly_factorization': [[[-5574, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 53}
  • id: 552341
    {'charpoly_factorization': [[[22764, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 59}
  • id: 552342
    {'charpoly_factorization': [[[-654, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 61}
  • id: 552343
    {'charpoly_factorization': [[[-54612, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 67}
  • id: 552344
    {'charpoly_factorization': [[[-5480, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 71}
  • id: 552345
    {'charpoly_factorization': [[[-49370, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 73}
  • id: 552346
    {'charpoly_factorization': [[[8020, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 79}
  • id: 552347
    {'charpoly_factorization': [[[17508, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 83}
  • id: 552348
    {'charpoly_factorization': [[[-63114, 1], 1]], 'hecke_orbit_code': 100663528, 'p': 89}
  • id: 552349
    {'charpoly_factorization': [[[5614, 1], 1]], 'hecke_orbit_code': 100663528, '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': '232.6.a.a', 'level': 232, 'portrait': 'data:image/png;base64,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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 12706000
    {'hecke_orbit_code': 100663528, 'n': 1, 'trace_an': 1}
  • id: 12706001
    {'hecke_orbit_code': 100663528, 'n': 2, 'trace_an': 0}
  • id: 12706002
    {'hecke_orbit_code': 100663528, 'n': 3, 'trace_an': 16}
  • id: 12706003
    {'hecke_orbit_code': 100663528, 'n': 4, 'trace_an': 0}
  • id: 12706004
    {'hecke_orbit_code': 100663528, 'n': 5, 'trace_an': 54}
  • id: 12706005
    {'hecke_orbit_code': 100663528, 'n': 6, 'trace_an': 0}
  • id: 12706006
    {'hecke_orbit_code': 100663528, 'n': 7, 'trace_an': 112}
  • id: 12706007
    {'hecke_orbit_code': 100663528, 'n': 8, 'trace_an': 0}
  • id: 12706008
    {'hecke_orbit_code': 100663528, 'n': 9, 'trace_an': 13}
  • id: 12706009
    {'hecke_orbit_code': 100663528, 'n': 10, 'trace_an': 0}
  • id: 12706010
    {'hecke_orbit_code': 100663528, 'n': 11, 'trace_an': 472}
  • id: 12706011
    {'hecke_orbit_code': 100663528, 'n': 12, 'trace_an': 0}
  • id: 12706012
    {'hecke_orbit_code': 100663528, 'n': 13, 'trace_an': -290}
  • id: 12706013
    {'hecke_orbit_code': 100663528, 'n': 14, 'trace_an': 0}
  • id: 12706014
    {'hecke_orbit_code': 100663528, 'n': 15, 'trace_an': 864}
  • id: 12706015
    {'hecke_orbit_code': 100663528, 'n': 16, 'trace_an': 0}
  • id: 12706016
    {'hecke_orbit_code': 100663528, 'n': 17, 'trace_an': 738}
  • id: 12706017
    {'hecke_orbit_code': 100663528, 'n': 18, 'trace_an': 0}
  • id: 12706018
    {'hecke_orbit_code': 100663528, 'n': 19, 'trace_an': 1616}
  • id: 12706019
    {'hecke_orbit_code': 100663528, 'n': 20, 'trace_an': 0}
  • id: 12706020
    {'hecke_orbit_code': 100663528, 'n': 21, 'trace_an': 1792}
  • id: 12706021
    {'hecke_orbit_code': 100663528, 'n': 22, 'trace_an': 0}
  • id: 12706022
    {'hecke_orbit_code': 100663528, 'n': 23, 'trace_an': -1504}
  • id: 12706023
    {'hecke_orbit_code': 100663528, 'n': 24, 'trace_an': 0}
  • id: 12706024
    {'hecke_orbit_code': 100663528, 'n': 25, 'trace_an': -209}
  • id: 12706025
    {'hecke_orbit_code': 100663528, 'n': 26, 'trace_an': 0}
  • id: 12706026
    {'hecke_orbit_code': 100663528, 'n': 27, 'trace_an': -3680}
  • id: 12706027
    {'hecke_orbit_code': 100663528, 'n': 28, 'trace_an': 0}
  • id: 12706028
    {'hecke_orbit_code': 100663528, 'n': 29, 'trace_an': 841}
  • id: 12706029
    {'hecke_orbit_code': 100663528, 'n': 30, 'trace_an': 0}
  • id: 12706030
    {'hecke_orbit_code': 100663528, 'n': 31, 'trace_an': 5324}
  • id: 12706031
    {'hecke_orbit_code': 100663528, 'n': 32, 'trace_an': 0}
  • id: 12706032
    {'hecke_orbit_code': 100663528, 'n': 33, 'trace_an': 7552}
  • id: 12706033
    {'hecke_orbit_code': 100663528, 'n': 34, 'trace_an': 0}
  • id: 12706034
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  • id: 12706035
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  • id: 12706038
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  • id: 12706039
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  • id: 12706040
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  • id: 12706041
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  • id: 12706042
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  • id: 12706043
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  • id: 12706044
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  • id: 12706045
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  • id: 12706046
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  • id: 12706047
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  • id: 12706048
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  • id: 12706050
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  • id: 12706051
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  • id: 12706052
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  • id: 12706053
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  • id: 12706054
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  • id: 12706056
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  • id: 12706057
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  • id: 12706058
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  • id: 12706059
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  • id: 12706062
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  • id: 12706070
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  • id: 12706072
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  • id: 12706076
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  • id: 12706078
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  • id: 12706080
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  • id: 12706081
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  • id: 12706082
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  • id: 12706084
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  • id: 12706085
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  • id: 12706100
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  • id: 12706102
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  • id: 12706104
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  • id: 12706107
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  • id: 12706108
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  • id: 12706110
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  • id: 12706112
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  • id: 12706113
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  • id: 12706114
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  • id: 12706116
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  • id: 12706117
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  • id: 12706118
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  • id: 12706119
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  • id: 12706120
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  • id: 12706121
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  • id: 12706122
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  • id: 12706123
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  • id: 12706124
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  • id: 12706125
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  • id: 12706126
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  • id: 12706127
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  • id: 12706128
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  • id: 12706129
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  • id: 12706130
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  • id: 12706131
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  • id: 12706132
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  • id: 12706133
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  • id: 12706134
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  • id: 12706135
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  • id: 12706136
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  • id: 12706137
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  • id: 12706138
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  • id: 12706139
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  • id: 12706140
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  • id: 12706141
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  • id: 12706142
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  • id: 12706143
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  • id: 12706144
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  • id: 12706145
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  • id: 12706146
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  • id: 12706147
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  • id: 12706148
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  • id: 12706149
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  • id: 12706150
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  • id: 12706151
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  • id: 12706152
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  • id: 12706153
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  • id: 12706154
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  • id: 12706155
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  • id: 12706156
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  • id: 12706157
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  • id: 12706158
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  • id: 12706159
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  • id: 12706160
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  • id: 12706161
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  • id: 12706162
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  • id: 12706163
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  • id: 12706164
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  • id: 12706165
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  • id: 12706166
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  • id: 12706167
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  • id: 12706168
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  • id: 12706169
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  • id: 12706170
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  • id: 12706171
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  • id: 12706172
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  • id: 12706173
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  • id: 12706174
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  • id: 12706175
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  • id: 12706176
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  • id: 12706177
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  • id: 12706178
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  • id: 12706179
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  • id: 12706180
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  • id: 12706181
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  • id: 12706182
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  • id: 12706183
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  • id: 12706184
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  • id: 12706185
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  • id: 12706186
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  • id: 12706187
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  • id: 12706188
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  • id: 12706189
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  • id: 12706190
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  • id: 12706191
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  • id: 12706192
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  • id: 12706193
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  • id: 12706194
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  • id: 12706195
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  • id: 12706196
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  • id: 12706197
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  • id: 12706198
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  • id: 12706199
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  • id: 12706200
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  • id: 12706201
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  • id: 12706203
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