Embedded newform data - 30.12.a.a.1.1

Formats: - HTML - YAML - JSON - 2025-02-11T03:22:53.391098

• 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': 4320, 'analytic_conductor': 23.050295416787666, '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': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [30, 1, [11, 7], [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': [[7, [22876, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 201326622, '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': '30.12.a.a', 'level': 30, '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': True, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '30.12.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2^{5}q^{2}-3^{5}q^{3}+2^{10}q^{4}-5^{5}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '11.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '30.12.a', 'trace_display': [-32, -243, -3125, -22876], 'trace_hash': 883202469473307970, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.027', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.011', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.090', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.062', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.319', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.215', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, -32, -243, 1024, -3125, 7776, -22876, -32768, 59049, 100000, -259128, -248832, -2323462, 732032, 759375, 1048576, -1918266, -1889568, -1613740, -3200000, 5558868, 8292096, 32849208, 7962624, 9765625, 74350784, -14348907, -23425024, 152590290, -24300000, 56810072, -33554432, 62968104, 61384512, 71487500, 60466176, 571517354, 51639680, 564601266, 102400000, 734063082, -177883776, -580696612, -265347072, -184528125, -1051174656, 478846584, -254803968, -1454015367, -312500000, 466138638, -2379225088, -2553787902, 459165024, 809775000, 749600768, 392138820, -4882889280, 6317920440, 777600000, -786138178, -1817922304, -1350804924, 1073741824, 7260818750, -2014979328, -21287683396, -1964304384, -7982357544, -2287600000, 11719480032, -1934917632, 23175633458, -18288555328, -2373046875, -1652469760, 5927812128, -18067240512, 2698969640, -3276800000, 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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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-0.24979727278430108, -0.3776926031985211, -0.17959162042348426, -0.40201512141258156, -0.3005364883876242, -0.1430439474958198, -0.23014560059477185, -0.42445089617365084, -0.23217803817439345, -0.4041039307673904, -0.305597993601583, -0.3438158307465548, -0.2258018718328823, -0.15604853013216274, -0.46264290308303363, -0.16927451563296117, -0.39679475151029775, -0.20239665465816392, -0.14958563248689152, -0.2531677032963125, -0.15830839667027222, -0.27044260375369333, -0.21977932265029532, -0.2728908563645891, -0.20719937938959193, -0.2707716931292312, -0.239920647714723, -0.2463802991134281, -0.2555860971129133, -0.29378238143500324, -0.19538763360087688, -0.1693868063694068, -0.18286220840718898, -0.10967066260702134], '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': 201326622, 'label': '30.12.a.a.1.1', 'level': 30, 'weight': 12}
• mf_newspaces •

  Column	Type
  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_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': [1, 1, 0, 1, 1, 1, 1, 0], 'Nk2': 4320, 'analytic_conductor': 23.050295416787666, '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': [30, 1, [11, 7], [1, 1]], 'conrey_index': 1, 'cusp_dim': 62, 'dim': 6, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [7], 'hecke_orbit_code': 201326622, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1], 'label': '30.12.a', 'level': 30, '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': True, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 70, 'mf_new_dim': 6, 'num_forms': 6, 'plus_dim': 4, 'prim_orbit_index': 1, 'relative_dim': 6, 'sturm_bound': 72, 'trace_bound': 5, 'trace_display': [0, -486, 0, 11172], 'traces': [6, 0, -486, 6144, 0, 0, 11172, 0, 354294, -200000, 780396, -497664, 317952, 1866624, 0, 6291456, 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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: 450459
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326622, 'source_is_minimal': True, 'source_label': '30.12.a.a.1.1', 'source_level': 30, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 201326622, 'target_is_minimal': True, 'target_label': '30.12.a.a.1.1', 'target_level': 30, 'twist_class_label': '30.12.a.a.1.1', 'twist_class_level': 30, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 12}
  • id: 450460
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326622, 'source_is_minimal': True, 'source_label': '30.12.a.a.1.1', 'source_level': 30, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396847661146, 'target_is_minimal': False, 'target_label': '90.12.a.j.1.1', 'target_level': 90, 'twist_class_label': '30.12.a.a.1.1', 'twist_class_level': 30, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 12}
  • id: 450461
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326622, 'source_is_minimal': True, 'source_label': '30.12.a.a.1.1', 'source_level': 30, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510799083438320, 'target_is_minimal': False, 'target_label': '240.12.a.d.1.1', 'target_level': 240, 'twist_class_label': '30.12.a.a.1.1', 'twist_class_level': 30, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 12}
  • id: 450462
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326622, 'source_is_minimal': True, 'source_label': '30.12.a.a.1.1', 'source_level': 30, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021735404503190, 'target_is_minimal': False, 'target_label': '150.12.c.g.49.1', 'target_level': 150, 'twist_class_label': '30.12.a.a.1.1', 'twist_class_level': 30, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 12}
  • id: 450463
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326622, 'source_is_minimal': True, 'source_label': '30.12.a.a.1.1', 'source_level': 30, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021735404503190, 'target_is_minimal': False, 'target_label': '150.12.c.g.49.2', 'target_level': 150, 'twist_class_label': '30.12.a.a.1.1', 'twist_class_level': 30, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 12}
  • id: 450464
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 201326622, 'source_is_minimal': True, 'source_label': '30.12.a.a.1.1', 'source_level': 30, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197592920214, 'target_is_minimal': False, 'target_label': '150.12.a.h.1.1', 'target_level': 150, 'twist_class_label': '30.12.a.a.1.1', 'twist_class_level': 30, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 12}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 110775
    {'charpoly_factorization': [[[32, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 2}
  • id: 110776
    {'charpoly_factorization': [[[243, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 3}
  • id: 110777
    {'charpoly_factorization': [[[3125, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 5}
  • id: 110778
    {'charpoly_factorization': [[[22876, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 7}
  • id: 110779
    {'charpoly_factorization': [[[259128, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 11}
  • id: 110780
    {'charpoly_factorization': [[[2323462, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 13}
  • id: 110781
    {'charpoly_factorization': [[[1918266, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 17}
  • id: 110782
    {'charpoly_factorization': [[[1613740, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 19}
  • id: 110783
    {'charpoly_factorization': [[[-32849208, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 23}
  • id: 110784
    {'charpoly_factorization': [[[-152590290, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 29}
  • id: 110785
    {'charpoly_factorization': [[[-56810072, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 31}
  • id: 110786
    {'charpoly_factorization': [[[-571517354, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 37}
  • id: 110787
    {'charpoly_factorization': [[[-734063082, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 41}
  • id: 110788
    {'charpoly_factorization': [[[580696612, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 43}
  • id: 110789
    {'charpoly_factorization': [[[-478846584, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 47}
  • id: 110790
    {'charpoly_factorization': [[[2553787902, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 53}
  • id: 110791
    {'charpoly_factorization': [[[-6317920440, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 59}
  • id: 110792
    {'charpoly_factorization': [[[786138178, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 61}
  • id: 110793
    {'charpoly_factorization': [[[21287683396, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 67}
  • id: 110794
    {'charpoly_factorization': [[[-11719480032, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 71}
  • id: 110795
    {'charpoly_factorization': [[[-23175633458, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 73}
  • id: 110796
    {'charpoly_factorization': [[[-2698969640, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 79}
  • id: 110797
    {'charpoly_factorization': [[[-32658710748, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 83}
  • id: 110798
    {'charpoly_factorization': [[[-74556330210, 1], 1]], 'hecke_orbit_code': 201326622, 'p': 89}
  • id: 110799
    {'charpoly_factorization': [[[-41434868834, 1], 1]], 'hecke_orbit_code': 201326622, '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': '30.12.a.a', 'level': 30, 'portrait': 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', 'weight': 12}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3776088
    {'hecke_orbit_code': 201326622, 'n': 1, 'trace_an': 1}
  • id: 3776089
    {'hecke_orbit_code': 201326622, 'n': 2, 'trace_an': -32}
  • id: 3776090
    {'hecke_orbit_code': 201326622, 'n': 3, 'trace_an': -243}
  • id: 3776091
    {'hecke_orbit_code': 201326622, 'n': 4, 'trace_an': 1024}
  • id: 3776092
    {'hecke_orbit_code': 201326622, 'n': 5, 'trace_an': -3125}
  • id: 3776093
    {'hecke_orbit_code': 201326622, 'n': 6, 'trace_an': 7776}
  • id: 3776094
    {'hecke_orbit_code': 201326622, 'n': 7, 'trace_an': -22876}
  • id: 3776095
    {'hecke_orbit_code': 201326622, 'n': 8, 'trace_an': -32768}
  • id: 3776096
    {'hecke_orbit_code': 201326622, 'n': 9, 'trace_an': 59049}
  • id: 3776097
    {'hecke_orbit_code': 201326622, 'n': 10, 'trace_an': 100000}
  • id: 3776098
    {'hecke_orbit_code': 201326622, 'n': 11, 'trace_an': -259128}
  • id: 3776099
    {'hecke_orbit_code': 201326622, 'n': 12, 'trace_an': -248832}
  • id: 3776100
    {'hecke_orbit_code': 201326622, 'n': 13, 'trace_an': -2323462}
  • id: 3776101
    {'hecke_orbit_code': 201326622, 'n': 14, 'trace_an': 732032}
  • id: 3776102
    {'hecke_orbit_code': 201326622, 'n': 15, 'trace_an': 759375}
  • id: 3776103
    {'hecke_orbit_code': 201326622, 'n': 16, 'trace_an': 1048576}
  • id: 3776104
    {'hecke_orbit_code': 201326622, 'n': 17, 'trace_an': -1918266}
  • id: 3776105
    {'hecke_orbit_code': 201326622, 'n': 18, 'trace_an': -1889568}
  • id: 3776106
    {'hecke_orbit_code': 201326622, 'n': 19, 'trace_an': -1613740}
  • id: 3776107
    {'hecke_orbit_code': 201326622, 'n': 20, 'trace_an': -3200000}
  • id: 3776108
    {'hecke_orbit_code': 201326622, 'n': 21, 'trace_an': 5558868}
  • id: 3776109
    {'hecke_orbit_code': 201326622, 'n': 22, 'trace_an': 8292096}
  • id: 3776110
    {'hecke_orbit_code': 201326622, 'n': 23, 'trace_an': 32849208}
  • id: 3776111
    {'hecke_orbit_code': 201326622, 'n': 24, 'trace_an': 7962624}
  • id: 3776112
    {'hecke_orbit_code': 201326622, 'n': 25, 'trace_an': 9765625}
  • id: 3776113
    {'hecke_orbit_code': 201326622, 'n': 26, 'trace_an': 74350784}
  • id: 3776114
    {'hecke_orbit_code': 201326622, 'n': 27, 'trace_an': -14348907}
  • id: 3776115
    {'hecke_orbit_code': 201326622, 'n': 28, 'trace_an': -23425024}
  • id: 3776116
    {'hecke_orbit_code': 201326622, 'n': 29, 'trace_an': 152590290}
  • id: 3776117
    {'hecke_orbit_code': 201326622, 'n': 30, 'trace_an': -24300000}
  • id: 3776118
    {'hecke_orbit_code': 201326622, 'n': 31, 'trace_an': 56810072}
  • id: 3776119
    {'hecke_orbit_code': 201326622, 'n': 32, 'trace_an': -33554432}
  • id: 3776120
    {'hecke_orbit_code': 201326622, 'n': 33, 'trace_an': 62968104}
  • id: 3776121
    {'hecke_orbit_code': 201326622, 'n': 34, 'trace_an': 61384512}
  • id: 3776122
    {'hecke_orbit_code': 201326622, 'n': 35, 'trace_an': 71487500}
  • id: 3776123
    {'hecke_orbit_code': 201326622, 'n': 36, 'trace_an': 60466176}
  • id: 3776124
    {'hecke_orbit_code': 201326622, 'n': 37, 'trace_an': 571517354}
  • id: 3776125
    {'hecke_orbit_code': 201326622, 'n': 38, 'trace_an': 51639680}
  • id: 3776126
    {'hecke_orbit_code': 201326622, 'n': 39, 'trace_an': 564601266}
  • id: 3776127
    {'hecke_orbit_code': 201326622, 'n': 40, 'trace_an': 102400000}
  • id: 3776128
    {'hecke_orbit_code': 201326622, 'n': 41, 'trace_an': 734063082}
  • id: 3776129
    {'hecke_orbit_code': 201326622, 'n': 42, 'trace_an': -177883776}
  • id: 3776130
    {'hecke_orbit_code': 201326622, 'n': 43, 'trace_an': -580696612}
  • id: 3776131
    {'hecke_orbit_code': 201326622, 'n': 44, 'trace_an': -265347072}
  • id: 3776132
    {'hecke_orbit_code': 201326622, 'n': 45, 'trace_an': -184528125}
  • id: 3776133
    {'hecke_orbit_code': 201326622, 'n': 46, 'trace_an': -1051174656}
  • id: 3776134
    {'hecke_orbit_code': 201326622, 'n': 47, 'trace_an': 478846584}
  • id: 3776135
    {'hecke_orbit_code': 201326622, 'n': 48, 'trace_an': -254803968}
  • id: 3776136
    {'hecke_orbit_code': 201326622, 'n': 49, 'trace_an': -1454015367}
  • id: 3776137
    {'hecke_orbit_code': 201326622, 'n': 50, 'trace_an': -312500000}
  • id: 3776138
    {'hecke_orbit_code': 201326622, 'n': 51, 'trace_an': 466138638}
  • id: 3776139
    {'hecke_orbit_code': 201326622, 'n': 52, 'trace_an': -2379225088}
  • id: 3776140
    {'hecke_orbit_code': 201326622, 'n': 53, 'trace_an': -2553787902}
  • id: 3776141
    {'hecke_orbit_code': 201326622, 'n': 54, 'trace_an': 459165024}
  • id: 3776142
    {'hecke_orbit_code': 201326622, 'n': 55, 'trace_an': 809775000}
  • id: 3776143
    {'hecke_orbit_code': 201326622, 'n': 56, 'trace_an': 749600768}
  • id: 3776144
    {'hecke_orbit_code': 201326622, 'n': 57, 'trace_an': 392138820}
  • id: 3776145
    {'hecke_orbit_code': 201326622, 'n': 58, 'trace_an': -4882889280}
  • id: 3776146
    {'hecke_orbit_code': 201326622, 'n': 59, 'trace_an': 6317920440}
  • id: 3776147
    {'hecke_orbit_code': 201326622, 'n': 60, 'trace_an': 777600000}
  • id: 3776148
    {'hecke_orbit_code': 201326622, 'n': 61, 'trace_an': -786138178}
  • id: 3776149
    {'hecke_orbit_code': 201326622, 'n': 62, 'trace_an': -1817922304}
  • id: 3776150
    {'hecke_orbit_code': 201326622, 'n': 63, 'trace_an': -1350804924}
  • id: 3776151
    {'hecke_orbit_code': 201326622, 'n': 64, 'trace_an': 1073741824}
  • id: 3776152
    {'hecke_orbit_code': 201326622, 'n': 65, 'trace_an': 7260818750}
  • id: 3776153
    {'hecke_orbit_code': 201326622, 'n': 66, 'trace_an': -2014979328}
  • id: 3776154
    {'hecke_orbit_code': 201326622, 'n': 67, 'trace_an': -21287683396}
  • id: 3776155
    {'hecke_orbit_code': 201326622, 'n': 68, 'trace_an': -1964304384}
  • id: 3776156
    {'hecke_orbit_code': 201326622, 'n': 69, 'trace_an': -7982357544}
  • id: 3776157
    {'hecke_orbit_code': 201326622, 'n': 70, 'trace_an': -2287600000}
  • id: 3776158
    {'hecke_orbit_code': 201326622, 'n': 71, 'trace_an': 11719480032}
  • id: 3776159
    {'hecke_orbit_code': 201326622, 'n': 72, 'trace_an': -1934917632}
  • id: 3776160
    {'hecke_orbit_code': 201326622, 'n': 73, 'trace_an': 23175633458}
  • id: 3776161
    {'hecke_orbit_code': 201326622, 'n': 74, 'trace_an': -18288555328}
  • id: 3776162
    {'hecke_orbit_code': 201326622, 'n': 75, 'trace_an': -2373046875}
  • id: 3776163
    {'hecke_orbit_code': 201326622, 'n': 76, 'trace_an': -1652469760}
  • id: 3776164
    {'hecke_orbit_code': 201326622, 'n': 77, 'trace_an': 5927812128}
  • id: 3776165
    {'hecke_orbit_code': 201326622, 'n': 78, 'trace_an': -18067240512}
  • id: 3776166
    {'hecke_orbit_code': 201326622, 'n': 79, 'trace_an': 2698969640}
  • id: 3776167
    {'hecke_orbit_code': 201326622, 'n': 80, 'trace_an': -3276800000}
  • id: 3776168
    {'hecke_orbit_code': 201326622, 'n': 81, 'trace_an': 3486784401}
  • id: 3776169
    {'hecke_orbit_code': 201326622, 'n': 82, 'trace_an': -23490018624}
  • id: 3776170
    {'hecke_orbit_code': 201326622, 'n': 83, 'trace_an': 32658710748}
  • id: 3776171
    {'hecke_orbit_code': 201326622, 'n': 84, 'trace_an': 5692280832}
  • id: 3776172
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  • id: 3776173
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  • id: 3776174
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  • id: 3776175
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  • id: 3776176
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  • id: 3776177
    {'hecke_orbit_code': 201326622, 'n': 90, 'trace_an': 5904900000}
  • id: 3776178
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  • id: 3776179
    {'hecke_orbit_code': 201326622, 'n': 92, 'trace_an': 33637588992}
  • id: 3776180
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  • id: 3776181
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  • id: 3776182
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  • id: 3776183
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  • id: 3776184
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  • id: 3776185
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  • id: 3776186
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  • id: 3776187
    {'hecke_orbit_code': 201326622, 'n': 100, 'trace_an': 10000000000}
  • id: 3776188
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  • id: 3776189
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  • id: 3776190
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  • id: 3776191
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  • id: 3776192
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  • id: 3776193
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  • id: 3776194
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  • id: 3776195
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  • id: 3776196
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  • id: 3776197
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  • id: 3776198
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  • id: 3776199
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  • id: 3776200
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  • id: 3776201
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  • id: 3776202
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  • id: 3776203
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  • id: 3776204
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  • id: 3776205
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  • id: 3776206
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  • id: 3776207
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  • id: 3776208
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  • id: 3776209
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  • id: 3776210
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  • id: 3776211
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  • id: 3776212
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  • id: 3776213
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  • id: 3776214
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  • id: 3776215
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  • id: 3776216
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  • id: 3776217
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  • id: 3776218
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  • id: 3776219
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  • id: 3776220
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  • id: 3776221
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  • id: 3776222
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  • id: 3776223
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  • id: 3776224
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  • id: 3776225
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  • id: 3776226
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  • id: 3776227
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  • id: 3776228
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  • id: 3776229
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  • id: 3776230
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  • id: 3776231
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  • id: 3776232
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  • id: 3776233
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  • id: 3776234
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  • id: 3776235
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  • id: 3776236
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  • id: 3776237
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  • id: 3776238
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  • id: 3776239
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  • id: 3776240
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  • id: 3776241
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  • id: 3776242
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  • id: 3776243
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  • id: 3776244
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  • id: 3776245
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  • id: 3776246
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  • id: 3776247
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  • id: 3776248
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  • id: 3776249
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  • id: 3776250
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  • id: 3776251
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  • id: 3776252
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  • id: 3776253
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  • id: 3776254
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  • id: 3776255
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  • id: 3776256
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  • id: 3776257
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  • id: 3776258
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  • id: 3776259
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  • id: 3776260
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  • id: 3776261
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  • id: 3776262
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  • id: 3776263
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  • id: 3776264
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  • id: 3776265
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  • id: 3776266
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  • id: 3776267
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  • id: 3776268
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  • id: 3776269
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  • id: 3776270
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  • id: 3776271
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  • id: 3776272
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  • id: 3776273
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  • id: 3776274
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  • id: 3776275
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  • id: 3776276
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  • id: 3776277
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  • id: 3776278
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  • id: 3776279
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  • id: 3776280
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  • id: 3776281
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  • id: 3776282
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  • id: 3776283
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  • id: 3776284
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  • id: 3776285
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  • id: 3776286
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  • id: 3776287
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  • id: 3776288
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  • id: 3776289
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  • id: 3776290
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  • id: 3776291
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  • id: 3776292
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  • id: 3776293
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  • id: 3776294
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  • id: 3776295
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  • id: 3776296
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  • id: 3776297
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  • id: 3776298
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  • id: 3776299
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  • id: 3776300
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  • id: 3776301
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  • id: 3776302
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  • id: 3776303
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  • id: 3776304
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  • id: 3776305
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  • id: 3776306
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  • id: 3776307
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  • id: 3776308
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  • id: 3776309
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  • id: 3776310
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  • id: 3776311
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  • id: 3776312
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  • id: 3776313
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  • id: 3776314
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  • id: 3776315
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  • id: 3776316
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  • id: 3776317
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  • id: 3776318
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  • id: 3776319
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  • id: 3776320
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  • id: 3776321
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  • id: 3776322
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  • id: 3776323
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  • id: 3776324
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  • id: 3776325
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  • id: 3776326
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  • id: 3776327
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  • id: 3776328
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  • id: 3776329
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  • id: 3776330
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  • id: 3776331
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  • id: 3776332
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  • id: 3776333
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  • id: 3776334
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  • id: 3776335
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  • id: 3776336
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  • id: 3776337
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  • id: 3776338
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  • id: 3776339
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  • id: 3776340
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  • id: 3776341
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  • id: 3776342
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  • id: 3776343
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  • id: 3776344
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  • id: 3776345
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