Embedded newform data - 12.18.a.a.1.1

Formats: - HTML - YAML - JSON - 2026-05-14T11:14:05.052994

• 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': 3888, 'analytic_conductor': 21.98665048134716, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 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': [12, 1, [7, 5], [1, 1]], 'cm_discs': [], 'conrey_index': 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': [[5, [1608930, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 301989900, '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_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '12.18.a.a', 'level': 12, '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, 3], 'level_radical': 6, 'minimal_twist': '12.18.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-3^{8}q^{3}-1608930q^{5}-9417184q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '17.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '12.18.a', 'trace_display': [0, -6561, -1608930, -9417184], 'trace_hash': 1425873956472404473, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.043', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.992', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.066', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.983', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.149', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.948', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 0, -6561, 0, -1608930, 0, -9417184, 0, 43046721, 0, -186910524, 0, -2625442690, 0, 10556189730, 0, 43782311106, 0, -96594985540, 0, 61786144224, 0, 290867937336, 0, 1825716291775, 0, -282429536481, 0, 1398617429094, 0, 7647898359464, 0, 1226319947964, 0, 15151589853120, 0, -33369516616762, 0, 17225529489090, 0, -12032733393990, 0, -755092495804, 0, -69259160818530, 0, -280540358127936, 0, -143947159497351, 0, -287255743166466, 0, 460570203615582, 0, 300725949379320, 0, 633759700127940, 0, 1078467799153284, 0, -1980778975313218, 0, -405378892253664, 0, 4224153507221700, 0, 4850190377589884, 0, -1908384536861496, 0, 2707574704052040, 0, -5002264428090742, 0, -11978524590335775, 0, 1760170796044416, 0, -9774477292907752, 0, 1853020188851841, 0, 17112919183614396, 0, -70442673807776580, 0, -9176328952285734, 0, 34698182155846650, 0, 24724276893184960, 0, 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26266421880671716421342378, 0, -1319717146108718997551034, 0, -30450828136751763571866330, 0, -3499936342823877919010640, 0, -4279256499166904471670720, 0, 26435594632732614026065548, 0, 13133158576177869240575980, 0, -5766841282200995416628646, 0, 11798324254881032322552714, 0, -26253432669953034949317120, 0, 1715152452868097539664616, 0, 22182831726003065732182848, 0, 35940232542529399379684385, 0, 7652935822206981928350708, 0, -70436809311281516927777220, 0, -44379752885852378596256560, 0, 27747464357446737082901640, 0, -15054842143907241631132572, 0, -17737230665693061592463744, 0, 31448929822682305119234750, 0, 25318705586785461048251682, 0, -6485455408596747015144600, 0, -1391069794641740990212482, 0, 2475141794439268441788648, 0, 2148797378462075706092580, 0, -17333507027945264339441664, 0, -219632196752401714938144, 0, 20698240196393034277101128, 0, -20588694242191772687631252, 0, 51135634049492662158224160, 0, 37375107037435985680229414, 0, 9424537110667118975094522, 0], 'weight': 18, 'weight_parity': 1}
• 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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-0.5773502691896257, 0.0], [0.0, 0.0], [-1.8420105477318331, 0.0], [0.0, 0.0], [-0.6174299837567553, 0.0], [0.0, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [-0.26290323565821544, 0.0], [0.0, 0.0], [-0.8926558347194413, 0.0], [0.0, 0.0], [1.0634852855831038, 0.0], [0.0, 0.0], [1.5222390227069957, 0.0], [0.0, 0.0], [-1.3048150993038377, 0.0], [0.0, 0.0], [0.3564733673277089, 0.0], [0.0, 0.0], [0.7744782842915025, 0.0], [0.0, 0.0], [2.393002857955328, 0.0], [0.0, 0.0], [-0.19245008972987526, 0.0], [0.0, 0.0], [0.5191776087681355, 0.0], [0.0, 0.0], [1.6105258871554609, 0.0], [0.0, 0.0], [0.1517872538780943, 0.0], [0.0, 0.0], [1.1373125425658377, 0.0], [0.0, 0.0], [-1.5618353959454505, 0.0], [0.0, 0.0], [0.5153750864689596, 0.0], [0.0, 0.0], [-0.23534312294981122, 0.0], [0.0, 0.0], [-0.00985186113722402, 0.0], [0.0, 0.0], [-0.6140035159106111, 0.0], [0.0, 0.0], [-1.7185554705392514, 0.0], [0.0, 0.0], [-0.618780215158133, 0.0], [0.0, 0.0], [-0.8788651095308367, 0.0], [0.0, 0.0], [1.016133914071866, 0.0], [0.0, 0.0], [0.4842705331152606, 0.0], [0.0, 0.0], [0.7533353488257589, 0.0], [0.0, 0.0], [0.9562359861516889, 0.0], [0.0, 0.0], [-1.322916459839903, 0.0], [0.0, 0.0], [-0.20580999458558508, 0.0], [0.0, 0.0], [1.6442814630475748, 0.0], [0.0, 0.0], [1.459227355936997, 0.0], [0.0, 0.0], [-0.44714524591721844, 0.0], [0.0, 0.0], [0.49760471162420844, 0.0], [0.0, 0.0], [-0.7259761185046105, 0.0], [0.0, 0.0], [-1.3816008442120524, 0.0], [0.0, 0.0], [0.16232434052205036, 0.0], [0.0, 0.0], [-0.7248752408737237, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, 0.0], [0.8339889840444343, 0.0], [0.0, 0.0], [-2.8039803359952833, 0.0], [0.0, 0.0], [-0.2997473321795092, 0.0], [0.0, 0.0], [0.9343114391829993, 0.0], [0.0, 0.0], [0.5511524775311974, 0.0], [0.0, 0.0], [-0.9298375544860662, 0.0], [0.0, 0.0], [2.403483175757428, 0.0], [0.0, 0.0], [0.8889379740208064, 0.0], [0.0, 0.0], [-0.08763441188607181, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.4363152538430727, -0.29994946387433435, -0.27098189946956447, -0.32363424966288695, -0.11232502450179647, -0.36312046584417135, -0.1867143903507112, -0.20820648706096984, -0.10101206428638318, -0.3926240997871013, -0.2687715020798796, -0.2507839893699004, -0.4145432875564855, -0.1651801214132131, -0.17065956345865127, -0.3650310576047467, -0.11984995253386133, -0.20998151918312147, -0.30912171325952387, -0.30902770642389077, -0.18154171642174421, -0.17263937230580512, -0.1766961952376077, -0.3041061937288365, -0.2265126937539706, -0.16664002662971122, -0.2623740359799129, -0.20843203574220334, -0.0680183411731339, -0.17443824469667776, -0.4004976946845437, -0.15285019248582474, -0.06050958742420596, -0.21750904801099194, -0.22421808375264768, -0.23903812310237196, -0.1947231089137364, -0.2658338637219159, -0.21489984823618277, -0.26454143104031824, -0.19591890094900047, -0.09741515774539104, -0.25333823859534965, -0.32572454616269997, -0.2761389891169085, -0.3097189850481354, -0.28898107171496634, -0.3169165782857675, -0.21540160825808233, -0.40036957070563056, -0.22909998535918047, -0.2859890492923261, -0.42167879334149005, -0.16218961420569897, -0.276186055746526, -0.46979535394258304, -0.24535125594579624, -0.18382965450830838, -0.13599673350008912, -0.17020346037703335, -0.24263533361007703, -0.09045993148480716, -0.2401723402253467, -0.21108743315273748, -0.14787452209579813, -0.20092571948908972, -0.3059864906331568, -0.2970807088520079, -0.22603670323586408, -0.27745783580526445, -0.1879170182217126, -0.24879775262103307, -0.14513987572674855, -0.3059965195942323, -0.34434325946707983, -0.27077296865356487, -0.25477627428898564, -0.3519828142553562, -0.2851075471244508, -0.3121578876915311, -0.22529825562694686, -0.11756649429443346, -0.09335385639016665, -0.1809225904142146, -0.16538543694897695, -0.1977748993957557, -0.24392385012107418, -0.18245669640776524, -0.2209871954348927, -0.47356995269830593, -0.23319326971756751, -0.2582183309392547, -0.23571979538068943, -0.20673982320515086, -0.2899869482488782, -0.3085421857579404, -0.16709238305208923, -0.24285175818887925], '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': 301989900, 'label': '12.18.a.a.1.1', 'level': 12, 'weight': 18}
• 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': [0, 0, 1, 1], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [2, 2, 1, 1], 'ALdims_old': [7, 8, 7, 7], 'Nk2': 3888, 'analytic_conductor': 21.98665048134716, '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': [12, 1, [7, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 31, 'dim': 2, 'eis_dim': 6, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 301989900, 'hecke_orbit_dims': [1, 1], 'label': '12.18.a', 'level': 12, '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, 3], 'level_radical': 6, 'mf_dim': 37, 'mf_new_dim': 2, 'num_forms': 2, 'plus_dim': 1, 'prim_orbit_index': 1, 'relative_dim': 2, 'sturm_bound': 36, 'trace_bound': 3, 'trace_display': [0, 0, -1477980, -24263960], 'traces': [2, 0, 0, 0, -1477980, 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: 463843
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 301989900, 'source_is_minimal': True, 'source_label': '12.18.a.a.1.1', 'source_level': 12, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 301989900, 'target_is_minimal': True, 'target_label': '12.18.a.a.1.1', 'target_level': 12, 'twist_class_label': '12.18.a.a.1.1', 'twist_class_level': 12, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 18}
  • id: 463844
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 301989900, 'source_is_minimal': True, 'source_label': '12.18.a.a.1.1', 'source_level': 12, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199556730916, 'target_is_minimal': False, 'target_label': '36.18.a.c.1.1', 'target_level': 36, 'twist_class_label': '12.18.a.a.1.1', 'twist_class_level': 12, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 18}
  • id: 463845
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 301989900, 'source_is_minimal': True, 'source_label': '12.18.a.a.1.1', 'source_level': 12, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199556730928, 'target_is_minimal': False, 'target_label': '48.18.a.c.1.1', 'target_level': 48, 'twist_class_label': '12.18.a.a.1.1', 'twist_class_level': 12, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 18}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 53125
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 2}
  • id: 53126
    {'charpoly_factorization': [[[6561, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 3}
  • id: 53127
    {'charpoly_factorization': [[[1608930, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 5}
  • id: 53128
    {'charpoly_factorization': [[[9417184, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 7}
  • id: 53129
    {'charpoly_factorization': [[[186910524, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 11}
  • id: 53130
    {'charpoly_factorization': [[[2625442690, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 13}
  • id: 53131
    {'charpoly_factorization': [[[-43782311106, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 17}
  • id: 53132
    {'charpoly_factorization': [[[96594985540, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 19}
  • id: 53133
    {'charpoly_factorization': [[[-290867937336, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 23}
  • id: 53134
    {'charpoly_factorization': [[[-1398617429094, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 29}
  • id: 53135
    {'charpoly_factorization': [[[-7647898359464, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 31}
  • id: 53136
    {'charpoly_factorization': [[[33369516616762, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 37}
  • id: 53137
    {'charpoly_factorization': [[[12032733393990, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 41}
  • id: 53138
    {'charpoly_factorization': [[[755092495804, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 43}
  • id: 53139
    {'charpoly_factorization': [[[280540358127936, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 47}
  • id: 53140
    {'charpoly_factorization': [[[-460570203615582, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 53}
  • id: 53141
    {'charpoly_factorization': [[[-1078467799153284, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 59}
  • id: 53142
    {'charpoly_factorization': [[[1980778975313218, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 61}
  • id: 53143
    {'charpoly_factorization': [[[-4850190377589884, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 67}
  • id: 53144
    {'charpoly_factorization': [[[-2707574704052040, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 71}
  • id: 53145
    {'charpoly_factorization': [[[5002264428090742, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 73}
  • id: 53146
    {'charpoly_factorization': [[[9774477292907752, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 79}
  • id: 53147
    {'charpoly_factorization': [[[-17112919183614396, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 83}
  • id: 53148
    {'charpoly_factorization': [[[-34698182155846650, 1], 1]], 'hecke_orbit_code': 301989900, 'p': 89}
  • id: 53149
    {'charpoly_factorization': [[[-68616916871806082, 1], 1]], 'hecke_orbit_code': 301989900, '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': '12.18.a.a', 'level': 12, 'portrait': 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', 'weight': 18}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3935532
    {'hecke_orbit_code': 301989900, 'n': 1, 'trace_an': 1}
  • id: 3935533
    {'hecke_orbit_code': 301989900, 'n': 2, 'trace_an': 0}
  • id: 3935534
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  • id: 3935727
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  • id: 3935728
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  • id: 3935729
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  • id: 3935730
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  • id: 3935731
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  • id: 3935732
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  • id: 3935733
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  • id: 3935734
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  • id: 3935735
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  • id: 3935736
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  • id: 3935737
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  • id: 3935738
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  • id: 3935739
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  • id: 3935740
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  • id: 3935741
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  • id: 3935742
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  • id: 3935743
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  • id: 3935744
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  • id: 3935745
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  • id: 3935746
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  • id: 3935747
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  • id: 3935748
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  • id: 3935749
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  • id: 3935750
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  • id: 3935753
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  • id: 3935754
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  • id: 3935760
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  • id: 3935762
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  • id: 3935763
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  • id: 3935764
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  • id: 3935765
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  • id: 3935766
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  • id: 3935767
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  • id: 3935769
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  • id: 3935770
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  • id: 3935773
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  • id: 3935775
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  • id: 3935778
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  • id: 3935779
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  • id: 3935780
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  • id: 3935783
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  • id: 3935784
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  • id: 3935785
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  • id: 3935786
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  • id: 3935787
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  • id: 3935788
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  • id: 3935789
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