Newform data - 189.3.b.b

Formats: - HTML - YAML - JSON - 2025-04-27T13:02:43.456478

• 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': 1701, 'analytic_conductor': 5.149876996409612, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 3, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [189, 2, [29, 136], [1, 2]], 'cm_discs': [], 'conrey_index': 134, 'dim': 4, 'field_disc': 12544, 'field_disc_factorization': [[2, 8], [7, 2]], 'field_poly': [9, 0, 8, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [9, 0, 8, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503668397179069, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 3, 'hecke_ring_index_factorization': [[3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '189.3.b.b', 'level': 189, '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': [3, 7], 'level_radical': 21, 'minimal_twist': '189.3.b.b', 'nf_label': '4.0.12544.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{1}q^{2}+\\beta _{2}q^{4}-\\beta _{3}q^{5}+\\beta _{2}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '2.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '189.3.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 363122230014547320, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.671', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '67.809', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1716.951', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.510', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, -12, 0, 0, -36, 0, 0, 24, 0, 0, -32, 0, 0, 36, 0, 0, 28, 0, 0, 64, 0, 0, -12, 0, 0, -92, 0, 0, 72, 0, 0, -28, 0, 0, 24, 0, 0, 28, 0, 0, 140, 0, 0, -244, 0, 0, -284, 0, 0, 96, 0, 0, -32, 0, 0, 156, 0, 0, 56, 0, 0, 196, 0, 0, -28, 0, 0, -484, 0, 0, 356, 0, 0, -60, 0, 0, 180, 0, 0, 140, 0, 0, 180, 0, 0, 16, 0, 0, -140, 0, 0, 80, 0, 0, -456, 0, 0, -32, 0, 0, 112, 0, 0, 372, 0, 0, -660, 0, 0, -588, 0, 0, 196, 0, 0, 388, 0, 0, 268, 0, 0, -28, 0, 0, 36, 0, 0, -200, 0, 0, -636, 0, 0, 260, 0, 0, -392, 0, 0, 536, 0, 0, 308, 0, 0, 660, 0, 0, 476, 0, 0, -108, 0, 0, 396, 0, 0, 60, 0, 0, -420, 0, 0, -140, 0, 0, 220, 0, 0, -1080, 0, 0, -324, 0, 0, -276, 0, 0, -32, 0, 0, 80, 0, 0, 0, 0, 0, -236, 0, 0, 692, 0, 0, -656, 0, 0, 668, 0, 0, -144, 0, 0, 148, 0, 0, 196, 0, 0, -392, 0, 0, 300, 0, 0, 1072, 0, 0, -472, 0, 0, -828, 0, 0, -108, 0, 0, 84, 0, 0, 308, 0, 0, -952, 0, 0, -212, 0, 0, -144, 0, 0, 1560, 0, 0, 196, 0, 0, -392, 0, 0, -308, 0, 0, 240, 0, 0, -28, 0, 0, 144, 0, 0, -324, 0, 0, 276, 0, 0, 252, 0, 0, 264, 0, 0, 1636, 0, 0, 1084, 0, 0, -644, 0, 0, 228, 0, 0, -1344, 0, 0, -420, 0, 0, -328, 0, 0, -1656, 0, 0, 456, 0, 0, -1468, 0, 0, -252, 0, 0, 188, 0, 0, -420, 0, 0, -808, 0, 0, 1368, 0, 0, 272, 0, 0, 688, 0, 0, 780, 0, 0, -84, 0, 0, 0, 0, 0, -1552, 0, 0, 1632, 0, 0, 2240, 0, 0, -408, 0, 0, -1372, 0, 0, -1272, 0, 0, -84, 0, 0, -284, 0, 0, -876, 0, 0, 824, 0, 0, 468, 0, 0, 2284, 0, 0, -128, 0, 0, -392, 0, 0, -1064, 0, 0, 396, 0, 0, 1072, 0, 0, -1496, 0, 0, -884, 0, 0, 788, 0, 0, 308, 0, 0, 1220, 0, 0, 1428, 0, 0, 1476, 0, 0, -500, 0, 0, 716, 0, 0, -1152, 0, 0, -952, 0, 0, -868, 0, 0, -900, 0, 0, 700, 0, 0, -2120, 0, 0, 456, 0, 0, -1000, 0, 0, -252, 0, 0, -1556, 0, 0, 1608, 0, 0, -732, 0, 0, 672, 0, 0, 360, 0, 0, -384, 0, 0, -28, 0, 0, -1548, 0, 0, 356, 0, 0, 2772, 0, 0, -1684, 0, 0, -644, 0, 0, 540, 0, 0, 28, 0, 0, -24, 0, 0, 208, 0, 0, 972, 0, 0, -536, 0, 0, 1780, 0, 0, 532, 0, 0, -644, 0, 0, -760, 0, 0, 108, 0, 0, 1044, 0, 0, 708, 0, 0, -896, 0, 0, -188, 0, 0, 168, 0, 0, 908, 0, 0, 1560, 0, 0, 548, 0, 0, 588, 0, 0, 768, 0, 0, -1828, 0, 0, -252, 0, 0, 280, 0, 0, -2016, 0, 0, -100, 0, 0, -16, 0, 0, -864, 0, 0, -64, 0, 0, -56, 0, 0, -144, 0, 0, 1372, 0, 0, -408, 0, 0, 284, 0, 0, 188, 0, 0, -740, 0, 0, -84, 0, 0, -2172, 0, 0, 1252, 0, 0, 168, 0, 0, -40, 0, 0, -1808, 0, 0, -192, 0, 0, 1008, 0, 0, -324, 0, 0, -1428, 0, 0, -576, 0, 0, -532, 0, 0, 380, 0, 0, 900, 0, 0, -84, 0, 0, 1368, 0, 0, -1672, 0, 0, -156, 0, 0, -1068, 0, 0, 1652, 0, 0, 2660, 0, 0, -252, 0, 0, 1836, 0, 0, -684, 0, 0, -708, 0, 0, 100, 0, 0, 2280, 0, 0, -840, 0, 0, -1064, 0, 0, 1644, 0, 0, 1404, 0, 0, -1428, 0, 0, 824, 0, 0, -1828, 0, 0, -300, 0, 0, 252, 0, 0, -160, 0, 0, 1204, 0, 0, -1544, 0, 0, 1440, 0, 0, -1228, 0, 0, 716, 0, 0, 1428, 0, 0, -616, 0, 0, -2704, 0, 0, -1092, 0, 0, 268, 0, 0, -3192, 0, 0, 2728, 0, 0, 672, 0, 0, 336, 0, 0, -84, 0, 0, 276, 0, 0, 2392, 0, 0, 2408, 0, 0, 180, 0, 0, 700, 0, 0, 1680, 0, 0, -2428, 0, 0, -840, 0, 0, -404, 0, 0, -264, 0, 0, -3540, 0, 0, -252, 0, 0, 2616, 0, 0, -988, 0, 0, -5048, 0, 0, 2128, 0, 0, 72, 0, 0, 2124, 0, 0, 672, 0, 0, -396, 0, 0, 812, 0, 0, -3576, 0, 0, 252, 0, 0, -2380, 0, 0, 352, 0, 0, 1092, 0, 0, 1340, 0, 0, -1164, 0, 0, -1432, 0, 0, 2400, 0, 0, -2244, 0, 0, 560, 0, 0, -644, 0, 0, -528, 0, 0, -880, 0, 0, -612, 0, 0, 1088, 0, 0, 2064, 0, 0, 388, 0, 0, 448, 0, 0, -608, 0, 0, 564, 0, 0, -672, 0, 0, 628, 0, 0, -1408, 0, 0, 2472, 0, 0, 532, 0, 0, 2912, 0, 0, -2492, 0, 0, -408, 0, 0, -216, 0, 0, 2160, 0, 0, 4016, 0, 0, -28, 0, 0, 7092, 0, 0, -2016, 0, 0, -4456, 0, 0, 584, 0, 0, 1132, 0, 0, 476, 0, 0, 168, 0, 0, 3228, 0, 0, 2176, 0, 0, -756, 0, 0, 2868, 0, 0, -4396, 0, 0, -3808, 0, 0, 252, 0, 0, -2740, 0, 0, -2368, 0, 0, -1448, 0, 0, -2268, 0, 0, -1368, 0, 0, -2112, 0, 0, 280, 0, 0, -4672, 0, 0, -3340, 0, 0, -4468, 0, 0, 2504, 0, 0, 924, 0, 0, 4940, 0, 0, 1680, 0, 0, 1320, 0, 0, 1188], 'weight': 3, 'weight_parity': -1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 0, -1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 2, 0, 1], [0, 0, 0, 0], [1, 0, 2, 0], [0, 3, 0, -4], [0, 0, 0, 0], [-3, 0, 5, 0], [0, -2, 0, 1], [0, 0, 0, 0], [-9, 0, 4, 0], [0, 1, 0, -1], [0, 0, 0, 0], [6, 0, -1, 0], [0, -3, 0, -2], [0, 0, 0, 0], [-8, 0, 11, 0], [0, -3, 0, 6], [0, 0, 0, 0], [9, 0, -5, 0], [0, -13, 0, 5], [0, 0, 0, 0], [7, 0, 0, 0], [0, 17, 0, 3], [0, 0, 0, 0], [16, 0, 7, 0], [0, -9, 0, 8], [0, 0, 0, 0], [-3, 0, 3, 0], [0, -3, 0, -2], [0, 0, 0, 0], [-23, 0, -14, 0], [0, 8, 0, -1], [0, 0, 0, 0], [18, 0, 9, 0], [0, -20, 0, -9], [0, 0, 0, 0], [-7, 0, -15, 0], [0, -18, 0, -5], [0, 0, 0, 0], [6, 0, -15, 0], [0, -11, 0, -1], [0, 0, 0, 0], [7, 0, 0, 0], [0, 19, 0, -5], [0, 0, 0, 0], [35, 0, -3, 0], [0, 28, 0, 2], [0, 0, 0, 0], [-61, 0, -14, 0], [0, -1, 0, 4], [0, 0, 0, 0], [-71, 0, 11, 0], [0, 41, 0, 1], [0, 0, 0, 0], [24, 0, -34, 0], [0, 2, 0, 7], [0, 0, 0, 0], [-8, 0, -9, 0], [0, -15, 0, -7], [0, 0, 0, 0], [39, 0, -1, 0], [0, -5, 0, -1], [0, 0, 0, 0], [14, 0, 1, 0], [0, 42, 0, -9], [0, 0, 0, 0], [49, 0, -23, 0], [0, 5, 0, -14], [0, 0, 0, 0], [-7, 0, 6, 0], [0, -18, 0, -5], [0, 0, 0, 0], [-121, 0, -9, 0], [0, -12, 0, 1], [0, 0, 0, 0], [89, 0, -2, 0], [0, -31, 0, 25], [0, 0, 0, 0], [-15, 0, -3, 0], [0, 23, 0, -15], [0, 0, 0, 0], [45, 0, 36, 0], [0, -10, 0, -15], [0, 0, 0, 0], [35, 0, -3, 0], [0, 24, 0, 9], [0, 0, 0, 0], [45, 0, -9, 0], [0, 3, 0, -4], [0, 0, 0, 0], [4, 0, -38, 0], [0, 7, 0, 0], [0, 0, 0, 0], [-35, 0, 9, 0]], 'ap': [[0, 1, 0, 0], [0, 0, 0, 0], [0, 0, 0, -1], [0, 0, 1, 0], [0, 3, 0, -4], [-3, 0, 5, 0], [0, 1, 0, -1], [6, 0, -1, 0], [0, -3, 0, 6], [0, 17, 0, 3], [16, 0, 7, 0], [-23, 0, -14, 0], [0, -20, 0, -9], [-7, 0, -15, 0], [0, -11, 0, -1], [0, 28, 0, 2], [0, 41, 0, 1], [24, 0, -34, 0], [39, 0, -1, 0], [0, 42, 0, -9], [49, 0, -23, 0], [-121, 0, -9, 0], [0, -31, 0, 25], [0, -10, 0, -15], [4, 0, -38, 0], [0, -51, 0, 31], [20, 0, 51, 0], [0, -13, 0, 15], [-8, 0, 25, 0], [0, -68, 0, 4], [97, 0, 19, 0], [0, 9, 0, 41], [0, 15, 0, 21], [-50, 0, 10, 0], [0, 84, 0, 0], [134, 0, 6, 0], [165, 0, -19, 0], [-27, 0, 59, 0], [0, -38, 0, -20], [0, 97, 0, 0], [0, 97, 0, -45], [-270, 0, -22, 0], [0, 19, 0, -44], [20, 0, -30, 0], [0, -78, 0, 44], [-59, 0, 76, 0], [-36, 0, 20, 0], [75, 0, 104, 0], [0, -90, 0, -42], [-118, 0, -72, 0], [0, 20, 0, 16], [0, -167, 0, -25], [77, 0, -81, 0], [0, 18, 0, 62], [0, 69, 0, -86], [0, 45, 0, 44], [0, -77, 0, -82], [36, 0, 14, 0], [69, 0, -52, 0], [0, 11, 0, -19], [66, 0, 116, 0], [0, -23, 0, 21], [-414, 0, -13, 0], [0, 107, 0, -71], [-367, 0, 21, 0], [0, -71, 0, 59], [68, 0, 36, 0], [195, 0, -58, 0], [0, 128, 0, -55], [408, 0, -58, 0], [0, -72, 0, -13], [0, -49, 0, 17], [-71, 0, -44, 0], [206, 0, 189, 0], [571, 0, -41, 0], [0, -120, 0, 60], [0, 24, 0, -30], [-374, 0, -104, 0], [0, -123, 0, -39], [305, 0, -117, 0], [0, -164, 0, 56], [179, 0, -210, 0], [0, -137, 0, 32], [-225, 0, -49, 0], [-530, 0, 82, 0], [0, -137, 0, -70], [0, 24, 0, 6], [-183, 0, -106, 0], [0, -7, 0, -118], [90, 0, 92, 0], [0, -199, 0, -11], [0, 156, 0, -32], [135, 0, -211, 0], [0, 256, 0, 93], [243, 0, -223, 0], [0, -75, 0, -165], [0, -309, 0, 61], [0, 307, 0, -106], [177, 0, -172, 0], [137, 0, 90, 0], [192, 0, 32, 0], [0, -170, 0, 52], [0, -301, 0, -69], [0, 16, 0, -14], [-16, 0, -228, 0], [-36, 0, 158, 0], [0, 182, 0, 78], [0, 119, 0, 130], [0, -37, 0, 166], [313, 0, 103, 0], [-10, 0, -72, 0], [-48, 0, 71, 0], [0, 97, 0, -133], [-81, 0, 80, 0], [95, 0, 69, 0], [0, -390, 0, -102], [-418, 0, 75, 0], [0, 133, 0, 93], [0, 57, 0, -27], [0, -343, 0, 142], [459, 0, -43, 0], [570, 0, 212, 0], [0, 154, 0, 71], [0, 253, 0, -196], [206, 0, -102, 0], [0, -33, 0, -201], [-386, 0, 1, 0], [0, 59, 0, -23], [-676, 0, 276, 0], [67, 0, 19, 0], [682, 0, 46, 0], [0, -92, 0, -181], [69, 0, -31, 0], [602, 0, -132, 0], [0, -213, 0, -69], [-607, 0, -177, 0], [0, 388, 0, -105], [654, 0, -274, 0], [0, 202, 0, -167], [0, -449, 0, -19], [203, 0, -408, 0], [0, -359, 0, 309], [88, 0, 34, 0], [0, -330, 0, 69], [335, 0, 225, 0], [0, -181, 0, -129], [-220, 0, 18, 0], [0, -150, 0, -199], [272, 0, 159, 0], [0, 233, 0, 199], [-168, 0, 152, 0], [0, 504, 0, 201], [-352, 0, -402, 0], [0, -333, 0, 211], [1004, 0, -162, 0], [0, 263, 0, -77], [-1114, 0, -72, 0], [0, -95, 0, -63], [544, 0, 238, 0], [0, 452, 0, -187], [0, 112, 0, 63], [0, -147, 0, 13], [-342, 0, 308, 0], [0, -307, 0, -149], [0, -460, 0, -116], [0, -213, 0, -45], [1235, 0, 99, 0], [330, 0, -232, 0]], 'char_orbit_index': 2, 'field_poly': [9, 0, 8, 0, 1], 'hecke_orbit_code': 4503668397179069, 'hecke_ring_character_values': [[29, [-1, 0, 0, 0]], [136, [1, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [-4, 0, 1, 0], [0, -6, 0, 1]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [4, 0, 1, 0], [0, 6, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '189.3.b.b', 'level': 189, 'maxp': 997, 'weight': 3}
• 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

  
  {'Nk2': 1701, 'analytic_conductor': 5.149876996409612, 'char_conductor': 3, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [189, 2, [29, 136], [1, 2]], 'conrey_index': 134, 'cusp_dim': 42, 'dim': 16, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 68769808573, 'hecke_orbit_dims': [4, 4, 8], 'label': '189.3.b', 'level': 189, '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': [3, 7], 'level_radical': 21, 'mf_dim': 54, 'mf_new_dim': 16, 'num_forms': 3, 'prim_orbit_index': 2, 'relative_dim': 16, 'sturm_bound': 72, 'trace_bound': 4, 'trace_display': [0, 0, 0, 0], 'traces': [16, 0, 0, -36, 0, 0, 0, 0, 0, -20, 0, 0, 60, 0, 0, 108, 0, 0, -12, 0, 0, -128, 0, 0, -252, 0, 0, 112, 0, 0, 76, 0, 0, 204, 0, 0, -44, 0, 0, 72, 0, 0, -40, 0, 0, -12, 0, 0, 112, 0, 0, -376, 0, 0, -76, 0, 0, -92, 0, 0, 564, 0, 0, -596, 0, 0, 156, 0, 0, -28, 0, 0, 280, 0, 0, 608, 0, 0, -244, 0, 0, 92, 0, 0, -708, 0, 0, 72, 0, 0, 56, 0, 0, -468, 0, 0, -188, 0, 0, 1492, 0, 0, -400, 0, 0, 84, 0, 0, -20, 0, 0, -560, 0, 0, -96, 0, 0, -804, 0, 0, -408, 0, 0, 712, 0, 0, 508, 0, 0, 1288, 0, 0, 140, 0, 0, -1440, 0, 0, 1108, 0, 0, -132, 0, 0, -508, 0, 0, -56, 0, 0, -340, 0, 0, 224, 0, 0, 1452, 0, 0, -1624, 0, 0, -360, 0, 0, -900, 0, 0, 924, 0, 0, 84, 0, 0, -56, 0, 0, 880, 0, 0, -1224, 0, 0, -1188, 0, 0, -60, 0, 0, 2464, 0, 0, -832, 0, 0, -252, 0, 0, 1072, 0, 0, 1328, 0, 0, -212, 0, 0, 368, 0, 0, -612, 0, 0, -776, 0, 0, 280, 0, 0, 880, 0, 0, 156, 0, 0, -392, 0, 0, -736, 0, 0, 972, 0, 0, -2052, 0, 0, -672, 0, 0, -28, 0, 0, -2296, 0, 0, -2000, 0, 0, -2196, 0, 0, 1488, 0, 0, 2620, 0, 0, 952, 0, 0, 1000, 0, 0, 2544, 0, 0, 3236, 0, 0, 936, 0, 0, -792, 0, 0, 276, 0, 0, 0, 0, 0, -204, 0, 0, -1016, 0, 0, 1240, 0, 0, -2432, 0, 0, 1380, 0, 0, -1524, 0, 0, -1176, 0, 0, -1168, 0, 0, -576, 0, 0, -4080, 0, 0, -3136, 0, 0, -576, 0, 0, 464, 0, 0, -672, 0, 0, -1000, 0, 0, 5328, 0, 0, 2096, 0, 0, 4876, 0, 0, -480, 0, 0, 1752, 0, 0, 0, 0, 0, 1280, 0, 0, -1176, 0, 0, 1256, 0, 0, 1392, 0, 0, -2680, 0, 0, -552, 0, 0, -84, 0, 0, -2648, 0, 0, -4908, 0, 0, 668, 0, 0, 5400, 0, 0, -44, 0, 0, 3664, 0, 0, 1204, 0, 0, -4616, 0, 0, 2016, 0, 0, -1832, 0, 0, -440, 0, 0, -7100, 0, 0, -1708, 0, 0, 1232, 0, 0, 488, 0, 0, -2784, 0, 0, 828, 0, 0, 88, 0, 0, 272, 0, 0, 108, 0, 0, -1036, 0, 0, 6284, 0, 0, 2772, 0, 0, -8, 0, 0, -128, 0, 0, 3372, 0, 0, 824, 0, 0, 1512, 0, 0, -932, 0, 0, 744, 0, 0, -156, 0, 0, 528, 0, 0, -828, 0, 0, 264, 0, 0, 392, 0, 0, -3096, 0, 0, -592, 0, 0, 3312, 0, 0, -2092, 0, 0, -4412, 0, 0, -648, 0, 0, -140, 0, 0, -2004, 0, 0, -680, 0, 0, -756, 0, 0, 1564, 0, 0, -3896, 0, 0, -3488, 0, 0, -1064, 0, 0, -1384, 0, 0, 1908, 0, 0, 2376, 0, 0, 2508, 0, 0, 628, 0, 0, 1372, 0, 0, 672, 0, 0, 4640, 0, 0, 804, 0, 0, 2588, 0, 0, 1992, 0, 0, 3036, 0, 0, -3568, 0, 0, 0, 0, 0, -4568, 0, 0, -1980, 0, 0, -2128, 0, 0, 4580, 0, 0, 4140, 0, 0, -1336, 0, 0, 1036, 0, 0, 576, 0, 0, 11032, 0, 0, -552, 0, 0, -6676, 0, 0, -3064, 0, 0, -9080, 0, 0, 168, 0, 0, -1920, 0, 0, 724, 0, 0, -696, 0, 0, -4660, 0, 0, 3928, 0, 0, -2064, 0, 0, 504, 0, 0, -1764, 0, 0, -2580, 0, 0, -1512, 0, 0, -5224, 0, 0, -244, 0, 0, 6984, 0, 0, 420, 0, 0, 10368, 0, 0, -2440, 0, 0, -2352, 0, 0, -276, 0, 0, 2900, 0, 0, 3296, 0, 0, 252, 0, 0, -684, 0, 0, 3312, 0, 0, 2676, 0, 0, -2480, 0, 0, 4548, 0, 0, 4416, 0, 0, -980, 0, 0, 5712, 0, 0, -4284, 0, 0, -3660, 0, 0, -1348, 0, 0, -4432, 0, 0, 4884, 0, 0, -4536, 0, 0, -964, 0, 0, -5228, 0, 0, -3980, 0, 0, 216, 0, 0, -952, 0, 0, -2572, 0, 0, -84, 0, 0, 4952, 0, 0, 1100, 0, 0, -9480, 0, 0, 4240, 0, 0, 588, 0, 0, 1768, 0, 0, 672, 0, 0, -6324, 0, 0, 3624, 0, 0, 6936, 0, 0, 7048, 0, 0, -412, 0, 0, -10296, 0, 0, 784, 0, 0, -3252, 0, 0, -7696, 0, 0, 7044, 0, 0, -104, 0, 0, 7368, 0, 0, 456, 0, 0, 756, 0, 0, 5640, 0, 0, -6796, 0, 0, -968, 0, 0, -4088, 0, 0, 828, 0, 0, 9576, 0, 0, 168, 0, 0, 4752, 0, 0, 404, 0, 0, -5520, 0, 0, 684, 0, 0, 5960, 0, 0, -140, 0, 0, -2184, 0, 0, 7556, 0, 0, -6096, 0, 0, -5764, 0, 0, -4548, 0, 0, -876, 0, 0, 3572, 0, 0, -2576, 0, 0, -13200, 0, 0, 2312, 0, 0, 7344, 0, 0, 320, 0, 0, -2616, 0, 0, 6016, 0, 0, -1484, 0, 0, -5024, 0, 0, 5496, 0, 0, 1884, 0, 0, -9440, 0, 0, -2608, 0, 0, 8448, 0, 0, -1904, 0, 0, -17440, 0, 0, -4532, 0, 0, 3768, 0, 0, 1296, 0, 0, 11016, 0, 0, 10628, 0, 0, 392, 0, 0, 5004, 0, 0, 288, 0, 0, -7276, 0, 0, 9428, 0, 0, 784, 0, 0, -13972, 0, 0, -84, 0, 0, 11688, 0, 0, -6956, 0, 0, 17424, 0, 0, 1464, 0, 0, 3512, 0, 0, -9040, 0, 0, 2268, 0, 0, 920, 0, 0, 2660, 0, 0, -2444, 0, 0, -9432, 0, 0, -9432, 0, 0, -13128, 0, 0, -1652, 0, 0, -3712, 0, 0, 680, 0, 0, -2104, 0, 0, 6956, 0, 0, -3000, 0, 0, 3308, 0, 0, 5712, 0, 0, -6204, 0, 0, 14184], 'weight': 3, 'weight_parity': -1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 154958
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '189.3.b.b', 'source_level': 189, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '189.3.b.b', 'target_level': 189, 'twist_class_label': '189.3.b.b', 'twist_class_level': 189, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 3}
  • id: 154959
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '189.3.b.b', 'source_level': 189, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '189.3.b.b', 'target_level': 189, 'twist_class_label': '189.3.b.b', 'twist_class_level': 189, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 154960
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '189.3.b.b', 'source_level': 189, 'target_char_orbit': 18, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '567.3.r.b', 'target_level': 567, 'twist_class_label': '189.3.b.b', 'twist_class_level': 189, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 3}
  • id: 154961
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '189.3.b.b', 'source_level': 189, 'target_char_orbit': 18, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '567.3.r.b', 'target_level': 567, 'twist_class_label': '189.3.b.b', 'twist_class_level': 189, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 3}
  • id: 154962
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '189.3.b.b', 'source_level': 189, 'target_char_orbit': 4, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3024.3.d.c', 'target_level': 3024, 'twist_class_label': '189.3.b.b', 'twist_class_level': 189, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 154963
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '189.3.b.b', 'source_level': 189, 'target_char_orbit': 4, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3024.3.d.c', 'target_level': 3024, 'twist_class_label': '189.3.b.b', 'twist_class_level': 189, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 473125
    {'charpoly_factorization': [[[9, 0, 8, 0, 1], 1]], 'hecke_orbit_code': 4503668397179069, 'p': 2}
  • id: 473126
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4503668397179069, 'p': 3}
  • id: 473127
    {'charpoly_factorization': [[[81, 0, 32, 0, 1], 1]], 'hecke_orbit_code': 4503668397179069, 'p': 5}
  • id: 473128
    {'charpoly_factorization': [[[-7, 0, 1], 2]], 'hecke_orbit_code': 4503668397179069, 'p': 7}
  • id: 473129
    {'charpoly_factorization': [[[68121, 0, 536, 0, 1], 1]], 'hecke_orbit_code': 4503668397179069, 'p': 11}
  • id: 473130
    {'charpoly_factorization': [[[-166, 6, 1], 2]], 'hecke_orbit_code': 4503668397179069, 'p': 13}
  • id: 473131
    {'charpoly_factorization': [[[18, 0, 1], 2]], 'hecke_orbit_code': 4503668397179069, 'p': 17}
  • id: 473132
    {'charpoly_factorization': [[[29, -12, 1], 2]], 'hecke_orbit_code': 4503668397179069, 'p': 19}
  • id: 473133
    {'charpoly_factorization': [[[263169, 0, 1152, 0, 1], 1]], 'hecke_orbit_code': 4503668397179069, 'p': 23}
  • id: 473134
    {'charpoly_factorization': [[[1954404, 0, 2804, 0, 1], 1]], 'hecke_orbit_code': 4503668397179069, 'p': 29}
  • id: 473135
    {'charpoly_factorization': [[[-87, -32, 1], 2]], 'hecke_orbit_code': 4503668397179069, 'p': 31}
  • id: 473136
    {'charpoly_factorization': [[[-843, 46, 1], 2]], 'hecke_orbit_code': 4503668397179069, 'p': 37}
  • id: 473137
    {'charpoly_factorization': [[[6922161, 0, 6512, 0, 1], 1]], 'hecke_orbit_code': 4503668397179069, 'p': 41}
  • id: 473138
    {'charpoly_factorization': [[[-1526, 14, 1], 2]], 'hecke_orbit_code': 4503668397179069, 'p': 43}
  • id: 473139
    {'charpoly_factorization': [[[236196, 0, 1044, 0, 1], 1]], 'hecke_orbit_code': 4503668397179069, 'p': 47}
  • id: 473140
    {'charpoly_factorization': [[[8928144, 0, 6624, 0, 1], 1]], 'hecke_orbit_code': 4503668397179069, 'p': 53}
  • id: 473141
    {'charpoly_factorization': [[[30536676, 0, 13644, 0, 1], 1]], 'hecke_orbit_code': 4503668397179069, 'p': 59}
  • id: 473142
    {'charpoly_factorization': [[[-7516, -48, 1], 2]], 'hecke_orbit_code': 4503668397179069, 'p': 61}
  • id: 473143
    {'charpoly_factorization': [[[1514, -78, 1], 2]], 'hecke_orbit_code': 4503668397179069, 'p': 67}
  • id: 473144
    {'charpoly_factorization': [[[729, 0, 15192, 0, 1], 1]], 'hecke_orbit_code': 4503668397179069, 'p': 71}
  • id: 473145
    {'charpoly_factorization': [[[-1302, -98, 1], 2]], 'hecke_orbit_code': 4503668397179069, 'p': 73}
  • id: 473146
    {'charpoly_factorization': [[[14074, 242, 1], 2]], 'hecke_orbit_code': 4503668397179069, 'p': 79}
  • id: 473147
    {'charpoly_factorization': [[[145009764, 0, 24588, 0, 1], 1]], 'hecke_orbit_code': 4503668397179069, 'p': 83}
  • id: 473148
    {'charpoly_factorization': [[[5625, 0, 8600, 0, 1], 1]], 'hecke_orbit_code': 4503668397179069, 'p': 89}
  • id: 473149
    {'charpoly_factorization': [[[-10092, -8, 1], 2]], 'hecke_orbit_code': 4503668397179069, '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': 2, 'hecke_orbit': 2, 'label': '189.3.b.b', 'level': 189, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 20497818
    {'hecke_orbit_code': 4503668397179069, 'n': 1, 'trace_an': 4}
  • id: 20497819
    {'hecke_orbit_code': 4503668397179069, 'n': 2, 'trace_an': 0}
  • id: 20497820
    {'hecke_orbit_code': 4503668397179069, 'n': 3, 'trace_an': 0}
  • id: 20497821
    {'hecke_orbit_code': 4503668397179069, 'n': 4, 'trace_an': 0}
  • id: 20497822
    {'hecke_orbit_code': 4503668397179069, 'n': 5, 'trace_an': 0}
  • id: 20497823
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  • id: 20497827
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  • id: 20497828
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  • id: 20497829
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  • id: 20497830
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  • id: 20497831
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  • id: 20497832
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  • id: 20497833
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  • id: 20497834
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  • id: 20497835
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  • id: 20497836
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  • id: 20497837
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  • id: 20497838
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  • id: 20497839
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  • id: 20497840
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  • id: 20497844
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  • id: 20497845
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  • id: 20497848
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  • id: 20497849
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  • id: 20497871
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  • id: 20497892
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  • id: 20497905
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  • id: 20497910
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  • id: 20497911
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  • id: 20497912
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  • id: 20497913
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  • id: 20497914
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  • id: 20497915
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  • id: 20497916
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  • id: 20497918
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  • id: 20497919
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  • id: 20497920
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  • id: 20497921
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  • id: 20497922
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  • id: 20497923
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  • id: 20497924
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  • id: 20497925
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  • id: 20497926
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  • id: 20497927
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  • id: 20497928
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  • id: 20497929
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  • id: 20497930
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  • id: 20497931
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  • id: 20497932
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  • id: 20497933
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  • id: 20497934
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  • id: 20497935
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  • id: 20497936
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  • id: 20497937
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  • id: 20497938
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  • id: 20497939
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  • id: 20497940
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  • id: 20497941
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  • id: 20497942
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  • id: 20497943
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  • id: 20497944
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  • id: 20497945
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  • id: 20497946
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  • id: 20497947
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  • id: 20497948
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  • id: 20497949
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  • id: 20497950
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  • id: 20497960
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  • id: 20497961
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  • id: 20497962
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  • id: 20497963
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  • id: 20497964
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  • id: 20497965
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  • id: 20497966
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  • id: 20497967
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  • id: 20497968
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  • id: 20497969
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  • id: 20497970
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  • id: 20497971
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  • id: 20497972
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  • id: 20497974
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  • id: 20497976
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  • id: 20497979
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  • id: 20498022
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