Embedded newform data - 324.4.a.d.1.3

Formats: - HTML - YAML - JSON - 2024-05-17T03:15:09.617087

• 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': 5184, 'analytic_conductor': 19.11661884185996, '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': [324, 1, [163, 245], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 3, 'field_disc': 1509, 'field_disc_factorization': [[3, 1], [503, 1]], 'field_poly': [4, -7, -1, 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, [864, -171, -6, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510798949220676, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 18, 'hecke_ring_index_factorization': [[2, 1], [3, 2]], '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': False, 'label': '324.4.a.d', 'level': 324, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '36.4.e.a', 'nf_label': '3.3.1509.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(2+\\beta _{2})q^{5}+(2-\\beta _{1}+\\beta _{2})q^{7}+(17+\\cdots)q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '324.4.a', 'trace_display': [0, 0, 6, 6], 'trace_hash': 235692657839101893, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.022', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.905', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.430', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.121', 'prec': 20}, {'__RealLiteral__': 0, 'data': '9.118', 'prec': 17}, {'__RealLiteral__': 0, 'data': '249.340', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [3, 0, 0, 0, 6, 0, 6, 0, 0, 0, 51, 0, -12, 0, 0, 0, 111, 0, 15, 0, 0, 0, 210, 0, 3, 0, 0, 0, 456, 0, -48, 0, 0, 0, 552, 0, -48, 0, 0, 0, 897, 0, -129, 0, 0, 0, 522, 0, 225, 0, 0, 0, 1104, 0, -108, 0, 0, 0, 453, 0, 402, 0, 0, 0, 1110, 0, 213, 0, 0, 0, -60, 0, 375, 0, 0, 0, 1128, 0, -552, 0, 0, 0, -612, 0, -1188, 0, 0, 0, 462, 0, -132, 0, 0, 0, -2184, 0, -93, 0, 0, 0, 822, 0, 618, 0, 0, 0, -2451, 0, -1020, 0, 0, 0, -612, 0, 1728, 0, 0, 0, -4530, 0, 1002, 0, 0, 0, -798, 0, 2490, 0, 0, 0, -3792, 0, -2346, 0, 0, 0, -1299, 0, -2451, 0, 0, 0, -6198, 0, -918, 0, 0, 0, -564, 0, -30, 0, 0, 0, -5064, 0, 2814, 0, 0, 0, 1014, 0, -4260, 0, 0, 0, -5544, 0, 4095, 0, 0, 0, 252, 0, 2598, 0, 0, 0, -3612, 0, 5946, 0, 0, 0, 2172, 0, -5319, 0, 0, 0, -3498, 0, -6861, 0, 0, 0, 4080, 0, -2010, 0, 0, 0, -1788, 0, -1242, 0, 0, 0, 4197, 0, 1932, 0, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.3338460074678306, -0.35413728786077076, -0.1866833341823578, -0.3288796128714353, -0.33645049754339296, -0.32514568104352803, -0.265022637166478, -0.3698215036356015, -0.17353037783148284, -0.27024833716325264, -0.4502014405963218, -0.4490668321696326, -0.1067213351985726, -0.42267356065277695, -0.1986827697143076, -0.1684192873589912, -0.31085627410999184, -0.16848076196863265, -0.22142238540008055, -0.19980949271016762, -0.14651418208790107, -0.19560834503305188, -0.2692647853423695, -0.15525161531143628, -0.22364464890640684, -0.34770816579711605, -0.2179341807123336, -0.12622364088932245, -0.18074743255271933, -0.18262398759081033, -0.3536911399373844, -0.3133895436911232, -0.22841937404673834, -0.13307043991934017, -0.2861487227162535, -0.29651476082778605, -0.2728942865608217, -0.05165540786318516, -0.2855324020101636, -0.28371570873242485, -0.2935537205347085, -0.24342202949496122, -0.05525876950945629, -0.10432189659050146, -0.16267401205377346, -0.08036301521841928, -0.16117891686114902, -0.19157963477009066, -0.1300766433386825, -0.4283358073496214, -0.05550990632277065, -0.06930311434285749, -0.1674531411403651, -0.22707678228018124, -0.10324905775712384, -0.28311994116247036, -0.21429050314189468, -0.330809888964235, -0.24665458208581845, -0.26128904011994386, -0.23746815927356496, -0.13814223071905798, -0.3572519382597037, -0.365706552104059, -0.3068463458990939, -0.1294092124097592, -0.29872116962303097, -0.3121973966170584, -0.29262177043996945, -0.2091738225328387, -0.26758149885426974, -0.25403342993571215, -0.2901842479867236, -0.3762961045258406, -0.26353587586966354, -0.16334505189906945, -0.36909076851993844, -0.1736890005914721, -0.07922021555422758, -0.2327891314328393, -0.3642052544566934, -0.19347433022057478, -0.3282047138367034, -0.1713858914830934, -0.24574610835459434, -0.15929326236432342], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': -2.47735234800897, 'hecke_orbit': 4, 'hecke_orbit_code': 13510798949220676, 'label': '324.4.a.d.1.3', 'level': 324, 'weight': 4}
• 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], [3, -1]], 7, 2], [[[2, -1], [3, 1]], 5, 3]], 'ALdims': [0, 0, 5, 7], 'Nk2': 5184, 'analytic_conductor': 19.11661884185996, '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': [324, 1, [163, 245], [1, 1]], 'conrey_index': 1, 'cusp_dim': 144, 'dim': 12, 'eis_dim': 36, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 67109188, 'hecke_orbit_dims': [1, 1, 3, 3, 4], 'label': '324.4.a', 'level': 324, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 180, 'mf_new_dim': 12, 'num_forms': 5, 'plus_dim': 7, 'prim_orbit_index': 1, 'relative_dim': 12, 'sturm_bound': 216, 'trace_bound': 5, 'trace_display': [0, 0, 0, -12], 'traces': [12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 150, 0, 0, 0, 0, 0, 390, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, 1512, 0, 0, 0, 0, 0, 1080, 0, 0, 0, 0, 0, 798, 0, 0, 0, 0, 0, 258, 0, 0, 0, 0, 0, 1176, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, -1890, 0, 0, 0, 0, 0, -3552, 0, 0, 0, 0, 0, 2418, 0, 0, 0, 0, 0, 204, 0, 0, 0, 0, 0, 1266, 0, 0, 0, 0, 0, -1728, 0, 0, 0, 0, 0, -2094, 0, 0, 0, 0, 0, 996, 0, 0, 0, 0, 0, -8196, 0, 0, 0, 0, 0, -2334, 0, 0, 0, 0, 0, -4590, 0, 0, 0, 0, 0, 2580, 0, 0, 0, 0, 0, 9150, 0, 0, 0, 0, 0, -5304, 0, 0, 0, 0, 0, 2646, 0, 0, 0, 0, 0, -14484, 0, 0, 0, 0, 0, 8088, 0, 0, 0, 0, 0, -13230, 0, 0, 0, 0, 0, -3576, 0, 0, 0, 0, 0, -15996, 0, 0, 0, 0, 0, 19224, 0, 0, 0, 0, 0, 13704, 0, 0, 0, 0, 0, 5484, 0, 0, 0, 0, 0, -948, 0, 0, 0, 0, 0, -4350, 0, 0, 0, 0, 0, 26568, 0, 0, 0, 0, 0, -17832, 0, 0, 0, 0, 0, -8844, 0, 0, 0, 0, 0, -14040, 0, 0, 0, 0, 0, 19992, 0, 0, 0, 0, 0, 33804, 0, 0, 0, 0, 0, 10680, 0, 0, 0, 0, 0, 10068, 0, 0, 0, 0, 0, -8832, 0, 0, 0, 0, 0, 15348, 0, 0, 0, 0, 0, -20520, 0, 0, 0, 0, 0, -12552, 0, 0, 0, 0, 0, -40854, 0, 0, 0, 0, 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0, 0, 0, 0, 907644, 0, 0, 0, 0, 0, 1033170, 0, 0, 0, 0, 0, 1732320, 0, 0, 0, 0, 0, 45708, 0, 0, 0, 0, 0, -828426, 0, 0, 0, 0, 0, 608568, 0, 0, 0, 0, 0, -631668, 0, 0, 0, 0, 0, 1994544, 0, 0, 0, 0, 0, 455934, 0, 0, 0, 0, 0, 161934, 0, 0, 0, 0, 0, -622470, 0, 0, 0, 0, 0, 408984, 0, 0, 0, 0, 0, 596400, 0, 0, 0, 0, 0, -23790, 0, 0, 0, 0, 0, -1564704, 0, 0, 0, 0, 0, 1092648, 0, 0, 0, 0, 0, 557250, 0, 0, 0, 0, 0, -586872, 0, 0, 0, 0, 0, -157518, 0, 0, 0, 0, 0, -267384, 0, 0, 0, 0, 0, -487296, 0, 0, 0, 0, 0, -1769928, 0, 0, 0, 0, 0, 871614, 0, 0, 0, 0, 0, -415128, 0, 0, 0, 0, 0, 146058, 0, 0, 0, 0, 0, -1171434, 0, 0, 0, 0, 0, 500700, 0, 0, 0, 0, 0, 869616, 0, 0, 0, 0, 0, 934764, 0, 0, 0, 0, 0, 1251774, 0, 0, 0, 0, 0, -81084, 0, 0, 0, 0, 0, -1349136, 0, 0, 0, 0, 0, 990522, 0, 0, 0, 0, 0, -315102, 0, 0, 0, 0, 0, 893634, 0, 0, 0, 0, 0, 158340, 0, 0, 0, 0, 0, -747132, 0, 0, 0, 0, 0, -784944, 0, 0, 0, 0, 0, -156030, 0, 0, 0, 0, 0, 987108, 0, 0, 0, 0, 0, 550368, 0, 0, 0, 0, 0, -1267080, 0, 0, 0, 0, 0, 1737612, 0, 0, 0, 0, 0, 615816, 0, 0, 0, 0, 0, -803820, 0, 0, 0, 0, 0, -548736, 0, 0, 0, 0, 0, -463752, 0, 0, 0, 0, 0, -422280, 0, 0, 0, 0, 0, -1017846, 0, 0, 0, 0, 0, 919848, 0, 0, 0, 0, 0, 67686, 0, 0, 0, 0, 0, 197424, 0, 0, 0, 0, 0, -995922, 0, 0, 0, 0, 0, 1253256, 0, 0, 0, 0, 0, 1419042, 0, 0, 0, 0, 0, 816240, 0, 0, 0, 0, 0, 988146, 0, 0, 0, 0, 0, -283608, 0, 0, 0, 0, 0], 'weight': 4, '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: 42881010
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798949220676, 'source_is_minimal': False, 'source_label': '324.4.a.d.1.3', 'source_level': 324, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13510798949220676, 'target_is_minimal': False, 'target_label': '324.4.a.d.1.3', 'target_level': 324, 'twist_class_label': '36.4.e.a.13.1', 'twist_class_level': 36, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 42881011
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798949220676, 'source_is_minimal': False, 'source_label': '324.4.a.d.1.3', 'source_level': 324, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199321850180, 'target_is_minimal': False, 'target_label': '324.4.a.c.1.1', 'target_level': 324, 'twist_class_label': '36.4.e.a.13.1', 'twist_class_level': 36, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 42881012
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798949220676, 'source_is_minimal': False, 'source_label': '324.4.a.d.1.3', 'source_level': 324, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 99079191869261072, 'target_is_minimal': False, 'target_label': '1296.4.a.w.1.3', 'target_level': 1296, 'twist_class_label': '36.4.e.a.13.1', 'twist_class_level': 36, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 42881013
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798949220676, 'source_is_minimal': False, 'source_label': '324.4.a.d.1.3', 'source_level': 324, 'target_conrey_index': 13, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 274945015844, 'target_is_minimal': True, 'target_label': '36.4.e.a.13.1', 'target_level': 36, 'twist_class_label': '36.4.e.a.13.1', 'twist_class_level': 36, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 42881014
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798949220676, 'source_is_minimal': False, 'source_label': '324.4.a.d.1.3', 'source_level': 324, 'target_conrey_index': 73, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 274945015916, 'target_is_minimal': False, 'target_label': '108.4.e.a.73.1', 'target_level': 108, 'twist_class_label': '36.4.e.a.13.1', 'twist_class_level': 36, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 42881015
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798949220676, 'source_is_minimal': False, 'source_label': '324.4.a.d.1.3', 'source_level': 324, 'target_conrey_index': 25, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 274945015844, 'target_is_minimal': True, 'target_label': '36.4.e.a.25.1', 'target_level': 36, 'twist_class_label': '36.4.e.a.13.1', 'twist_class_level': 36, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 42881016
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798949220676, 'source_is_minimal': False, 'source_label': '324.4.a.d.1.3', 'source_level': 324, 'target_conrey_index': 37, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 274945015916, 'target_is_minimal': False, 'target_label': '108.4.e.a.37.1', 'target_level': 108, 'twist_class_label': '36.4.e.a.13.1', 'twist_class_level': 36, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 4}
  • id: 42881017
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798949220676, 'source_is_minimal': False, 'source_label': '324.4.a.d.1.3', 'source_level': 324, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 94575592241890576, 'target_is_minimal': False, 'target_label': '1296.4.a.v.1.1', 'target_level': 1296, 'twist_class_label': '36.4.e.a.13.1', 'twist_class_level': 36, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 42881018
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798949220676, 'source_is_minimal': False, 'source_label': '324.4.a.d.1.3', 'source_level': 324, 'target_conrey_index': 145, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511348705034672, 'target_is_minimal': False, 'target_label': '432.4.i.d.145.1', 'target_level': 432, 'twist_class_label': '36.4.e.a.13.1', 'twist_class_level': 36, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 4}
  • id: 42881019
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798949220676, 'source_is_minimal': False, 'source_label': '324.4.a.d.1.3', 'source_level': 324, 'target_conrey_index': 49, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13511348705034384, 'target_is_minimal': False, 'target_label': '144.4.i.d.49.3', 'target_level': 144, 'twist_class_label': '36.4.e.a.13.1', 'twist_class_level': 36, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 42881020
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798949220676, 'source_is_minimal': False, 'source_label': '324.4.a.d.1.3', 'source_level': 324, 'target_conrey_index': 97, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13511348705034384, 'target_is_minimal': False, 'target_label': '144.4.i.d.97.3', 'target_level': 144, 'twist_class_label': '36.4.e.a.13.1', 'twist_class_level': 36, 'twisting_char_label': '36.23', 'twisting_conrey_index': 23, 'weight': 4}
  • id: 42881021
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798949220676, 'source_is_minimal': False, 'source_label': '324.4.a.d.1.3', 'source_level': 324, 'target_conrey_index': 289, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511348705034672, 'target_is_minimal': False, 'target_label': '432.4.i.d.289.1', 'target_level': 432, 'twist_class_label': '36.4.e.a.13.1', 'twist_class_level': 36, 'twisting_char_label': '36.31', 'twisting_conrey_index': 31, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 708925
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13510798949220676, 'p': 2}
  • id: 708926
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13510798949220676, 'p': 3}
  • id: 708927
    {'charpoly_factorization': [[[864, -171, -6, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 5}
  • id: 708928
    {'charpoly_factorization': [[[-4598, -609, -6, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 7}
  • id: 708929
    {'charpoly_factorization': [[[66231, -1197, -51, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 11}
  • id: 708930
    {'charpoly_factorization': [[[-64466, -5271, 12, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 13}
  • id: 708931
    {'charpoly_factorization': [[[577476, -6624, -111, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 17}
  • id: 708932
    {'charpoly_factorization': [[[-216368, -7512, -15, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 19}
  • id: 708933
    {'charpoly_factorization': [[[-2322, 10359, -210, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 23}
  • id: 708934
    {'charpoly_factorization': [[[-2879658, 64737, -456, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 29}
  • id: 708935
    {'charpoly_factorization': [[[-3054788, -34953, 48, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 31}
  • id: 708936
    {'charpoly_factorization': [[[-682352, -20508, 48, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 37}
  • id: 708937
    {'charpoly_factorization': [[[-11796543, 223551, -897, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 41}
  • id: 708938
    {'charpoly_factorization': [[[-1425149, -186909, 129, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 43}
  • id: 708939
    {'charpoly_factorization': [[[64558782, -161433, -522, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 47}
  • id: 708940
    {'charpoly_factorization': [[[-11853648, 317700, -1104, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 53}
  • id: 708941
    {'charpoly_factorization': [[[96892713, -291285, -453, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 59}
  • id: 708942
    {'charpoly_factorization': [[[1209736, 7941, -402, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 61}
  • id: 708943
    {'charpoly_factorization': [[[-3095063, -80133, -213, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 67}
  • id: 708944
    {'charpoly_factorization': [[[-113211648, -423072, 60, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 71}
  • id: 708945
    {'charpoly_factorization': [[[158369284, -381048, -375, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 73}
  • id: 708946
    {'charpoly_factorization': [[[-17848772, -21849, 552, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 79}
  • id: 708947
    {'charpoly_factorization': [[[-3478788, -117693, 612, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 83}
  • id: 708948
    {'charpoly_factorization': [[[-170122248, -774180, -462, 1], 1]], 'hecke_orbit_code': 13510798949220676, 'p': 89}
  • id: 708949
    {'charpoly_factorization': [[[86400523, -1039641, 93, 1], 1]], 'hecke_orbit_code': 13510798949220676, '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': 4, 'label': '324.4.a.d', 'level': 324, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 134286000
    {'hecke_orbit_code': 13510798949220676, 'n': 1, 'trace_an': 3}
  • id: 134286001
    {'hecke_orbit_code': 13510798949220676, 'n': 2, 'trace_an': 0}
  • id: 134286002
    {'hecke_orbit_code': 13510798949220676, 'n': 3, 'trace_an': 0}
  • id: 134286003
    {'hecke_orbit_code': 13510798949220676, 'n': 4, 'trace_an': 0}
  • id: 134286004
    {'hecke_orbit_code': 13510798949220676, 'n': 5, 'trace_an': 6}
  • id: 134286005
    {'hecke_orbit_code': 13510798949220676, 'n': 6, 'trace_an': 0}
  • id: 134286006
    {'hecke_orbit_code': 13510798949220676, 'n': 7, 'trace_an': 6}
  • id: 134286007
    {'hecke_orbit_code': 13510798949220676, 'n': 8, 'trace_an': 0}
  • id: 134286008
    {'hecke_orbit_code': 13510798949220676, 'n': 9, 'trace_an': 0}
  • id: 134286009
    {'hecke_orbit_code': 13510798949220676, 'n': 10, 'trace_an': 0}
  • id: 134286010
    {'hecke_orbit_code': 13510798949220676, 'n': 11, 'trace_an': 51}
  • id: 134286011
    {'hecke_orbit_code': 13510798949220676, 'n': 12, 'trace_an': 0}
  • id: 134286012
    {'hecke_orbit_code': 13510798949220676, 'n': 13, 'trace_an': -12}
  • id: 134286013
    {'hecke_orbit_code': 13510798949220676, 'n': 14, 'trace_an': 0}
  • id: 134286014
    {'hecke_orbit_code': 13510798949220676, 'n': 15, 'trace_an': 0}
  • id: 134286015
    {'hecke_orbit_code': 13510798949220676, 'n': 16, 'trace_an': 0}
  • id: 134286016
    {'hecke_orbit_code': 13510798949220676, 'n': 17, 'trace_an': 111}
  • id: 134286017
    {'hecke_orbit_code': 13510798949220676, 'n': 18, 'trace_an': 0}
  • id: 134286018
    {'hecke_orbit_code': 13510798949220676, 'n': 19, 'trace_an': 15}
  • id: 134286019
    {'hecke_orbit_code': 13510798949220676, 'n': 20, 'trace_an': 0}
  • id: 134286020
    {'hecke_orbit_code': 13510798949220676, 'n': 21, 'trace_an': 0}
  • id: 134286021
    {'hecke_orbit_code': 13510798949220676, 'n': 22, 'trace_an': 0}
  • id: 134286022
    {'hecke_orbit_code': 13510798949220676, 'n': 23, 'trace_an': 210}
  • id: 134286023
    {'hecke_orbit_code': 13510798949220676, 'n': 24, 'trace_an': 0}
  • id: 134286024
    {'hecke_orbit_code': 13510798949220676, 'n': 25, 'trace_an': 3}
  • id: 134286025
    {'hecke_orbit_code': 13510798949220676, 'n': 26, 'trace_an': 0}
  • id: 134286026
    {'hecke_orbit_code': 13510798949220676, 'n': 27, 'trace_an': 0}
  • id: 134286027
    {'hecke_orbit_code': 13510798949220676, 'n': 28, 'trace_an': 0}
  • id: 134286028
    {'hecke_orbit_code': 13510798949220676, 'n': 29, 'trace_an': 456}
  • id: 134286029
    {'hecke_orbit_code': 13510798949220676, 'n': 30, 'trace_an': 0}
  • id: 134286030
    {'hecke_orbit_code': 13510798949220676, 'n': 31, 'trace_an': -48}
  • id: 134286031
    {'hecke_orbit_code': 13510798949220676, 'n': 32, 'trace_an': 0}
  • id: 134286032
    {'hecke_orbit_code': 13510798949220676, 'n': 33, 'trace_an': 0}
  • id: 134286033
    {'hecke_orbit_code': 13510798949220676, 'n': 34, 'trace_an': 0}
  • id: 134286034
    {'hecke_orbit_code': 13510798949220676, 'n': 35, 'trace_an': 552}
  • id: 134286035
    {'hecke_orbit_code': 13510798949220676, 'n': 36, 'trace_an': 0}
  • id: 134286036
    {'hecke_orbit_code': 13510798949220676, 'n': 37, 'trace_an': -48}
  • id: 134286037
    {'hecke_orbit_code': 13510798949220676, 'n': 38, 'trace_an': 0}
  • id: 134286038
    {'hecke_orbit_code': 13510798949220676, 'n': 39, 'trace_an': 0}
  • id: 134286039
    {'hecke_orbit_code': 13510798949220676, 'n': 40, 'trace_an': 0}
  • id: 134286040
    {'hecke_orbit_code': 13510798949220676, 'n': 41, 'trace_an': 897}
  • id: 134286041
    {'hecke_orbit_code': 13510798949220676, 'n': 42, 'trace_an': 0}
  • id: 134286042
    {'hecke_orbit_code': 13510798949220676, 'n': 43, 'trace_an': -129}
  • id: 134286043
    {'hecke_orbit_code': 13510798949220676, 'n': 44, 'trace_an': 0}
  • id: 134286044
    {'hecke_orbit_code': 13510798949220676, 'n': 45, 'trace_an': 0}
  • id: 134286045
    {'hecke_orbit_code': 13510798949220676, 'n': 46, 'trace_an': 0}
  • id: 134286046
    {'hecke_orbit_code': 13510798949220676, 'n': 47, 'trace_an': 522}
  • id: 134286047
    {'hecke_orbit_code': 13510798949220676, 'n': 48, 'trace_an': 0}
  • id: 134286048
    {'hecke_orbit_code': 13510798949220676, 'n': 49, 'trace_an': 225}
  • id: 134286049
    {'hecke_orbit_code': 13510798949220676, 'n': 50, 'trace_an': 0}
  • id: 134286050
    {'hecke_orbit_code': 13510798949220676, 'n': 51, 'trace_an': 0}
  • id: 134286051
    {'hecke_orbit_code': 13510798949220676, 'n': 52, 'trace_an': 0}
  • id: 134286052
    {'hecke_orbit_code': 13510798949220676, 'n': 53, 'trace_an': 1104}
  • id: 134286053
    {'hecke_orbit_code': 13510798949220676, 'n': 54, 'trace_an': 0}
  • id: 134286054
    {'hecke_orbit_code': 13510798949220676, 'n': 55, 'trace_an': -108}
  • id: 134286055
    {'hecke_orbit_code': 13510798949220676, 'n': 56, 'trace_an': 0}
  • id: 134286056
    {'hecke_orbit_code': 13510798949220676, 'n': 57, 'trace_an': 0}
  • id: 134286057
    {'hecke_orbit_code': 13510798949220676, 'n': 58, 'trace_an': 0}
  • id: 134286058
    {'hecke_orbit_code': 13510798949220676, 'n': 59, 'trace_an': 453}
  • id: 134286059
    {'hecke_orbit_code': 13510798949220676, 'n': 60, 'trace_an': 0}
  • id: 134286060
    {'hecke_orbit_code': 13510798949220676, 'n': 61, 'trace_an': 402}
  • id: 134286061
    {'hecke_orbit_code': 13510798949220676, 'n': 62, 'trace_an': 0}
  • id: 134286062
    {'hecke_orbit_code': 13510798949220676, 'n': 63, 'trace_an': 0}
  • id: 134286063
    {'hecke_orbit_code': 13510798949220676, 'n': 64, 'trace_an': 0}
  • id: 134286064
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  • id: 134286065
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  • id: 134286066
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  • id: 134286067
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  • id: 134286068
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  • id: 134286069
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  • id: 134286070
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  • id: 134286071
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  • id: 134286072
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  • id: 134286073
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  • id: 134286074
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  • id: 134286075
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  • id: 134286076
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  • id: 134286077
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  • id: 134286078
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  • id: 134286079
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  • id: 134286080
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  • id: 134286081
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  • id: 134286082
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  • id: 134286083
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  • id: 134286084
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  • id: 134286085
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  • id: 134286086
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  • id: 134286087
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  • id: 134286088
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  • id: 134286089
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  • id: 134286090
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  • id: 134286091
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  • id: 134286092
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  • id: 134286093
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  • id: 134286094
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  • id: 134286095
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  • id: 134286096
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  • id: 134286097
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  • id: 134286098
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  • id: 134286100
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  • id: 134286101
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  • id: 134286102
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  • id: 134286106
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  • id: 134286107
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  • id: 134286108
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  • id: 134286109
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  • id: 134286110
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  • id: 134286111
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  • id: 134286112
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  • id: 134286113
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  • id: 134286114
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  • id: 134286115
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  • id: 134286116
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  • id: 134286118
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  • id: 134286119
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  • id: 134286120
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  • id: 134286121
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  • id: 134286122
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  • id: 134286124
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  • id: 134286125
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  • id: 134286126
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  • id: 134286127
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  • id: 134286128
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  • id: 134286129
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  • id: 134286130
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  • id: 134286131
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  • id: 134286132
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  • id: 134286133
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  • id: 134286134
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  • id: 134286135
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  • id: 134286136
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  • id: 134286137
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  • id: 134286138
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  • id: 134286139
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  • id: 134286140
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  • id: 134286141
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  • id: 134286142
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  • id: 134286143
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  • id: 134286144
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  • id: 134286145
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  • id: 134286146
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  • id: 134286147
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  • id: 134286148
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  • id: 134286149
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  • id: 134286150
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  • id: 134286151
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  • id: 134286152
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  • id: 134286153
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  • id: 134286154
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  • id: 134286155
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  • id: 134286156
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  • id: 134286157
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  • id: 134286158
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  • id: 134286159
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  • id: 134286160
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  • id: 134286161
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  • id: 134286162
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  • id: 134286163
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  • id: 134286164
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  • id: 134286165
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  • id: 134286166
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  • id: 134286167
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  • id: 134286168
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  • id: 134286169
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  • id: 134286170
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  • id: 134286171
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  • id: 134286172
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  • id: 134286173
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  • id: 134286174
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  • id: 134286175
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  • id: 134286176
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  • id: 134286177
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  • id: 134286178
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  • id: 134286179
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  • id: 134286180
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  • id: 134286181
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  • id: 134286182
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  • id: 134286183
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  • id: 134286184
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  • id: 134286185
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  • id: 134286186
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  • id: 134286187
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  • id: 134286188
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  • id: 134286189
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  • id: 134286190
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  • id: 134286191
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  • id: 134286192
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  • id: 134286193
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  • id: 134286194
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  • id: 134286195
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  • id: 134286196
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  • id: 134286197
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  • id: 134286198
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  • id: 134286199
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  • id: 134286200
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  • id: 134286201
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  • id: 134286202
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  • id: 134286203
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  • id: 134286204
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  • id: 134286205
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  • id: 134286206
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  • id: 134286207
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  • id: 134286208
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  • id: 134286209
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  • id: 134286210
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  • id: 134286211
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  • id: 134286212
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  • id: 134286213
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  • id: 134286214
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  • id: 134286215
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  • id: 134286216
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  • id: 134286217
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  • id: 134286218
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  • id: 134286219
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  • id: 134286220
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  • id: 134286221
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  • id: 134286222
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  • id: 134286223
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  • id: 134286224
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  • id: 134286225
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  • id: 134286226
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  • id: 134286227
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  • id: 134286228
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  • id: 134286229
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  • id: 134286230
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  • id: 134286231
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  • id: 134286232
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  • id: 134286233
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  • id: 134286234
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  • id: 134286235
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  • id: 134286236
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  • id: 134286237
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  • id: 134286238
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  • id: 134286239
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  • id: 134286240
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  • id: 134286241
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  • id: 134286242
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  • id: 134286243
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  • id: 134286244
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  • id: 134286245
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  • id: 134286246
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  • id: 134286247
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  • id: 134286248
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  • id: 134286249
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  • id: 134286250
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  • id: 134286251
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  • id: 134286252
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  • id: 134286253
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  • id: 134286254
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  • id: 134286255
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  • id: 134286256
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  • id: 134286257
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  • id: 134286258
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  • id: 134286259
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  • id: 134286260
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  • id: 134286261
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  • id: 134286262
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  • id: 134286528
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  • id: 134286538
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  • id: 134286546
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  • id: 134286562
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  • id: 134286564
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  • id: 134286568
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  • id: 134286570
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  • id: 134286586
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  • id: 134286589
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  • id: 134286594
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  • id: 134286613
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  • id: 134286616
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  • id: 134286619
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  • id: 134286658
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  • id: 134286666
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  • id: 134286676
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  • id: 134286762
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  • id: 134286767
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  • id: 134286789
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  • id: 134286828
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  • id: 134286831
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  • id: 134286846
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  • id: 134286847
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  • id: 134286851
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