Newform data - 2304.4.a.o

Formats: - HTML - YAML - JSON - 2025-12-08T06:19:36.284083

• 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': 36864, 'analytic_conductor': 135.94040065322636, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2304, 1, [1279, 2053, 1793], [1, 1, 1]], 'cm_discs': [-4], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-22, 1]], [7, [0, 1]], [11, [0, 1]], [13, [92, 1]], [17, [104, 1]], [19, [0, 1]]], 'hecke_orbit': 15, 'hecke_orbit_code': 63050394850298112, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, -4]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '2304.4.a.o', 'level': 2304, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '1152.4.d.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+22q^{5}-92q^{13}-104q^{17}+359q^{25}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.1.d1', 'self_twist_discs': [-4], 'self_twist_type': 1, 'space_label': '2304.4.a', 'trace_display': [0, 0, 22, 0], 'trace_hash': 2206313278810478402, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.992', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.962', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.826', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.505', 'prec': 17}, 'traces': [1, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, -92, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 359, 0, 0, 0, 130, 0, 0, 0, 0, 0, 0, 0, 396, 0, 0, 0, -472, 0, 0, 0, 0, 0, 0, 0, -343, 0, 0, 0, -518, 0, 0, 0, 0, 0, 0, 0, -468, 0, 0, 0, -2024, 0, 0, 0, 0, 0, 0, 0, -1098, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2288, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 594, 0, 0, 0, -598, 0, 0, 0, 0, 0, 0, 0, 1460, 0, 0, 0, -1328, 0, 0, 0, 0, 0, 0, 0, -1331, 0, 0, 0, 5148, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2776, 0, 0, 0, 0, 0, 0, 0, 2860, 0, 0, 0, -3514, 0, 0, 0, 0, 0, 0, 0, -3924, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6267, 0, 0, 0, -4082, 0, 0, 0, 0, 0, 0, 0, -2860, 0, 0, 0, 8712, 0, 0, 0, 0, 0, 0, 0, -5362, 0, 0, 0, -1174, 0, 0, 0, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 0, 524140, 0, 0, 0, 273416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 286150, 0, 0, 0, 0, 0, 0, 0, -278820, 0, 0, 0, 265928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51656, 0, 0, 0, 0, 0, 0, 0, -189772, 0, 0, 0, -245174, 0, 0, 0, 0, 0, 0, 0, 212996, 0, 0, 0, -272120, 0, 0, 0, 0, 0, 0, 0, 119447, 0, 0, 0, 77220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -476752, 0, 0, 0, 0, 0, 0, 0, 293618, 0, 0, 0, 146534, 0, 0, 0, 0, 0, 0, 0, -94160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 186966, 0, 0, 0, 271282, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -651768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -75988, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 83336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -265954, 0, 0, 0, 0, 0, 0, 0, 314604, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -77740, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 424528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -251962, 0, 0, 0, -319406, 0, 0, 0, 0, 0, 0, 0, 536096, 0, 0, 0, -200560, 0, 0, 0, 0, 0, 0, 0, 246928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160524, 0, 0, 0, 518256, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, '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], [22], [0], [0], [0], [0], [0], [0], [0], [-92], [0], [0], [0], [-104], [0], [0], [0], [0], [0], [0], [0], [359], [0], [0], [0], [130], [0], [0], [0], [0], [0], [0], [0], [396], [0], [0], [0], [-472], [0], [0], [0], [0], [0], [0], [0], [-343], [0], [0], [0], [-518], [0], [0], [0], [0], [0], [0], [0], [-468], [0], [0], [0], [-2024], [0], [0], [0], [0], [0], [0], [0], [-1098], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [-2288], [0], [0], [0], [-176], [0], [0], [0], [0], [0], [0], [0], [594], [0], [0], [0]], 'ap': [[0], [0], [22], [0], [0], [-92], [-104], [0], [0], [130], [0], [396], [-472], [0], [0], [-518], [0], [-468], [0], [0], [-1098], [0], [0], [-176], [594], [-598], [0], [0], [1460], [-1328], [0], [0], [2776], [0], [-3514], [0], [-3924], [0], [0], [-4082], [0], [-2860], [0], [-5362], [-1174], [0], [0], [0], [0], [-2684], [7088], [0], [-5310], [0], [8096], [0], [-3406], [0], [1316], [-5792], [0], [9418], [0], [0], [6838], [10274], [0], [12366], [0], [-8964], [-12848], [0], [0], [-6372], [0], [0], [374], [-12564], [15880], [7146], [0], [13412], [0], [4862], [0], [0], [-10120], [16506], [2318], [0], [0], [0], [0], [0], [0], [0], [-14270], [1480], [0], [-24460], [0], [-8626], [0], [-4280], [0], [-3454], [0], [24368], [0], [-17030], [0], [19548], [26464], [0], [0], [14872], [0], [0], [33358], [0], [-22068], [4462], [4054], [0], [0], [-20030], [8404], [0], [0], [-8732], [0], [0], [0], [22516], [27320], [-9650], [-39542], [0], [-41954], [39704], [0], [1850], [0], [0], [-41740], [0], [45468], [-20056], [0], [0], [-29844], [-51808], [0], [0], [0], [0], [0], [-47480], [51946], [-31378], [0], [-15512], [0], [0], [-22936], [0], [0], [-34164], [63810], [-42458], [0], [32220], [0], [-18378], [0], [60736], [0], [40982], [0], [23580], [0], [0], [-13052], [72544], [0], [41350], [-33644], [0], [25434], [0], [-59202], [0], [0], [34430], [0], [-33088], [-55150], [74932], [84064], [0], [84910], [0], [62084], [-85410], [0], [73634], [0], [0], [57776], [0], [7774], [70150], [0], [0], [0], [38630], [0], [99320], [0], [-100418], [32708], [0], [61096], [0], [0], [-41220], [64688], [0], [0], [0], [-107692], [0], [0], [-109408], [0], [0], [-7326], [-59962], [0], [0], [0], [0], [0], [120636], [36032], [0], [0], [0], [0], [0], [-11356], [127760], [0], [-28746], [-108238], [0], [-89260], [0], [66154], [-134026], [0], [0], [-58444], [136188], [-40216], [0], [-15890], [98960], [0], [137462], [-97380], [0], [-126522], [0], [58734], [0], [0], [-141876], [35210], [0], [0], [0], [0], [-118980], [0], [0], [-83358], [-89626], [0], [-58640], [-56210], [0], [-87728], [0], [-105588], [133214], [0], [174938], [0], [0], [121862], [152366], [0], [0], [0], [-103086], [0], [-24284], [0], [-75348], [0], [-185350], [185720], [0], [0], [-164970], [0], [0], [130878], [1040], [0], [176726], [-63230], [0], [186088], [167490], [0], [0], [0], [206518], [164612], [-136994], [0], [0], [0], [0], [-192420], [105008], [-113130], [0], [-14868], [-75064], [-179446], [0], [-34142], [0], [-132572], [0], [0], [-28454], [0], [-225414], [157010], [0], [9324], [197312], [0], [0], [57496], [0], [-86004], [73840], [0], [0], [0], [-175318], [227506], [0], [-186410], [0], [0], [0], [104314], [0], [-72956], [0], [0], [-225182], [-249080], [-260406], [-162338], [-266728], [0], [-222304], [0], [0], [0], [-231676], [0], [0], [244926], [71158], [0], [0], [0], [48618], [0], [273416], [0], [286150], [-278820], [265928], [0], [51656], [-245174], [0], [212996], [-272120], [0], [0], [293618], [146534], [0], [0], [186966], [271282], [0], [0], [83336], [0], [-265954], [314604], [0], [0], [-251962], [-319406], [0], [-200560], [0], [0]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 63050394850298112, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '2304.4.a.o', 'level': 2304, 'maxp': 2999, 'weight': 4}
• mf_newspaces •

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

  
  {'ALdims': [26, 34, 22, 36], 'ALdims_eis_new': [0, 2, 0, 2], 'ALdims_eis_old': [24, 22, 24, 22], 'ALdims_old': [254, 238, 250, 244], 'Nk2': 36864, 'analytic_conductor': 135.94040065322636, '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': [2304, 1, [1279, 2053, 1793], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1104, 'dim': 118, 'eis_dim': 96, 'eis_new_dim': 4, 'hecke_cutter_primes': [5, 7, 11, 13, 17, 19], 'hecke_orbit_code': 67111168, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 8], 'label': '2304.4.a', 'level': 2304, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 1200, 'mf_new_dim': 122, 'num_forms': 56, 'plus_dim': 62, 'prim_orbit_index': 1, 'relative_dim': 118, 'sturm_bound': 1536, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [118, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 2754, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 3750, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1472, 0, 0, 0, 0, 0, 0, 0, 276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 172, 0, 0, 0, 0, 0, 0, 0, 3164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2156, 0, 0, 0, 0, 0, 0, 0, 9142, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2044, 0, 0, 0, 0, 0, 0, 0, 3360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2496, 0, 0, 0, 0, 0, 0, 0, 25970, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9024, 0, 0, 0, 0, 0, 0, 0, 4188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9000, 0, 0, 0, 0, 0, 0, 0, 16064, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15116, 0, 0, 0, 0, 0, 0, 0, 15164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10484, 0, 0, 0, 0, 0, 0, 0, 13728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15532, 0, 0, 0, 0, 0, 0, 0, 40578, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30144, 0, 0, 0, 0, 0, 0, 0, 26596, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 39360, 0, 0, 0, 0, 0, 0, 0, 44428, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10420, 0, 0, 0, 0, 0, 0, 0, 21734, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 39808, 0, 0, 0, 0, 0, 0, 0, 34688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76996, 0, 0, 0, 0, 0, 0, 0, 35812, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12532, 0, 0, 0, 0, 0, 0, 0, 42620, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40484, 0, 0, 0, 0, 0, 0, 0, 49796, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40776, 0, 0, 0, 0, 0, 0, 0, 20320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26688, 0, 0, 0, 0, 0, 0, 0, -24032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -55940, 0, 0, 0, 0, 0, 0, 0, -23482, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -66496, 0, 0, 0, 0, 0, 0, 0, 36672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -135140, 0, 0, 0, 0, 0, 0, 0, 15788, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -67756, 0, 0, 0, 0, 0, 0, 0, -66764, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80332, 0, 0, 0, 0, 0, 0, 0, 116870, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -54428, 0, 0, 0, 0, 0, 0, 0, 25720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -83328, 0, 0, 0, 0, 0, 0, 0, 74076, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54400, 0, 0, 0, 0, 0, 0, 0, 62632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10176, 0, 0, 0, 0, 0, 0, 0, -37440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 81432, 0, 0, 0, 0, 0, 0, 0, -110752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34076, 0, 0, 0, 0, 0, 0, 0, -92452, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35904, 0, 0, 0, 0, 0, 0, 0, -45856, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -109636, 0, 0, 0, 0, 0, 0, 0, -168408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -73756, 0, 0, 0, 0, 0, 0, 0, -75246, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40612, 0, 0, 0, 0, 0, 0, 0, -225696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -181996, 0, 0, 0, 0, 0, 0, 0, -110528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 241088, 0, 0, 0, 0, 0, 0, 0, -139224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -230108, 0, 0, 0, 0, 0, 0, 0, -16172, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -191012, 0, 0, 0, 0, 0, 0, 0, -222218, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5828, 0, 0, 0, 0, 0, 0, 0, -262752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, '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: 914178
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2304.4.a.o', 'source_level': 2304, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '1152.4.d.c', 'target_level': 1152, 'twist_class_label': '1152.4.d.c', 'twist_class_level': 1152, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 4}
  • id: 914179
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2304.4.a.o', 'source_level': 2304, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '1152.4.d.c', 'target_level': 1152, 'twist_class_label': '1152.4.d.c', 'twist_class_level': 1152, 'twisting_char_label': '16.f', 'twisting_char_orbit': 6, 'weight': 4}
  • id: 914180
    {'conductor': 48, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2304.4.a.o', 'source_level': 2304, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '1152.4.d.f', 'target_level': 1152, 'twist_class_label': '1152.4.d.c', 'twist_class_level': 1152, 'twisting_char_label': '48.i', 'twisting_char_orbit': 9, 'weight': 4}
  • id: 914181
    {'conductor': 48, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2304.4.a.o', 'source_level': 2304, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '1152.4.d.f', 'target_level': 1152, 'twist_class_label': '1152.4.d.c', 'twist_class_level': 1152, 'twisting_char_label': '48.k', 'twisting_char_orbit': 11, 'weight': 4}
  • id: 914182
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2304.4.a.o', 'source_level': 2304, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '2304.4.a.a', 'target_level': 2304, 'twist_class_label': '1152.4.d.c', 'twist_class_level': 1152, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 914183
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2304.4.a.o', 'source_level': 2304, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '2304.4.a.a', 'target_level': 2304, 'twist_class_label': '1152.4.d.c', 'twist_class_level': 1152, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 914184
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2304.4.a.o', 'source_level': 2304, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '2304.4.a.b', 'target_level': 2304, 'twist_class_label': '1152.4.d.c', 'twist_class_level': 1152, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 914185
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2304.4.a.o', 'source_level': 2304, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '2304.4.a.b', 'target_level': 2304, 'twist_class_label': '1152.4.d.c', 'twist_class_level': 1152, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 4}
  • id: 914186
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2304.4.a.o', 'source_level': 2304, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '2304.4.a.o', 'target_level': 2304, 'twist_class_label': '1152.4.d.c', 'twist_class_level': 1152, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 4}
  • id: 914187
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -4, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2304.4.a.o', 'source_level': 2304, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '2304.4.a.o', 'target_level': 2304, 'twist_class_label': '1152.4.d.c', 'twist_class_level': 1152, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 914188
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2304.4.a.o', 'source_level': 2304, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '2304.4.a.p', 'target_level': 2304, 'twist_class_label': '1152.4.d.c', 'twist_class_level': 1152, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 4}
  • id: 914189
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2304.4.a.o', 'source_level': 2304, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '2304.4.a.p', 'target_level': 2304, 'twist_class_label': '1152.4.d.c', 'twist_class_level': 1152, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2549575
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 2}
  • id: 2549576
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 3}
  • id: 2549577
    {'charpoly_factorization': [[[-22, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 5}
  • id: 2549578
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 7}
  • id: 2549579
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 11}
  • id: 2549580
    {'charpoly_factorization': [[[92, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 13}
  • id: 2549581
    {'charpoly_factorization': [[[104, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 17}
  • id: 2549582
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 19}
  • id: 2549583
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 23}
  • id: 2549584
    {'charpoly_factorization': [[[-130, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 29}
  • id: 2549585
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 31}
  • id: 2549586
    {'charpoly_factorization': [[[-396, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 37}
  • id: 2549587
    {'charpoly_factorization': [[[472, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 41}
  • id: 2549588
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 43}
  • id: 2549589
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 47}
  • id: 2549590
    {'charpoly_factorization': [[[518, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 53}
  • id: 2549591
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 59}
  • id: 2549592
    {'charpoly_factorization': [[[468, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 61}
  • id: 2549593
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 67}
  • id: 2549594
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 71}
  • id: 2549595
    {'charpoly_factorization': [[[1098, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 73}
  • id: 2549596
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 79}
  • id: 2549597
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 83}
  • id: 2549598
    {'charpoly_factorization': [[[176, 1], 1]], 'hecke_orbit_code': 63050394850298112, 'p': 89}
  • id: 2549599
    {'charpoly_factorization': [[[-594, 1], 1]], 'hecke_orbit_code': 63050394850298112, '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': 15, 'label': '2304.4.a.o', 'level': 2304, '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: 60162223
    {'hecke_orbit_code': 63050394850298112, 'n': 1, 'trace_an': 1}
  • id: 60162224
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  • id: 60162225
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  • id: 60162226
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  • id: 60162227
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  • id: 60162228
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  • id: 60162229
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  • id: 60162230
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  • id: 60162231
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  • id: 60162232
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  • id: 60162233
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  • id: 60162234
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  • id: 60162235
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  • id: 60162236
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  • id: 60162237
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  • id: 60162238
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  • id: 60162239
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  • id: 60162240
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  • id: 60162241
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  • id: 60162242
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  • id: 60162243
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  • id: 60162244
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  • id: 60162245
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  • id: 60162246
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  • id: 60162247
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  • id: 60162248
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  • id: 60162249
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  • id: 60162250
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  • id: 60162251
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  • id: 60162252
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  • id: 60162253
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  • id: 60162254
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  • id: 60162255
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  • id: 60162256
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  • id: 60162257
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  • id: 60162258
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  • id: 60162259
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  • id: 60162260
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  • id: 60162261
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  • id: 60162262
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  • id: 60162263
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  • id: 60162264
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  • id: 60162265
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  • id: 60162266
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  • id: 60162267
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  • id: 60162268
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  • id: 60162269
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  • id: 60162270
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  • id: 60162271
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  • id: 60162272
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  • id: 60162273
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  • id: 60162274
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  • id: 60162275
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  • id: 60162276
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  • id: 60162277
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  • id: 60162278
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  • id: 60162279
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  • id: 60162280
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  • id: 60162281
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  • id: 60162282
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  • id: 60162283
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  • id: 60162284
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  • id: 60162285
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  • id: 60162286
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  • id: 60162287
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  • id: 60162288
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  • id: 60162289
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  • id: 60162290
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  • id: 60162291
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  • id: 60162292
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  • id: 60162293
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  • id: 60162294
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  • id: 60162295
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  • id: 60162296
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  • id: 60162297
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  • id: 60162298
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  • id: 60162299
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  • id: 60162300
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  • id: 60162301
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  • id: 60162302
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  • id: 60162303
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  • id: 60162304
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  • id: 60162305
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  • id: 60162306
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  • id: 60162307
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  • id: 60162308
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  • id: 60162309
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  • id: 60162310
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  • id: 60162311
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  • id: 60162312
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  • id: 60162313
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  • id: 60162314
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  • id: 60162315
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  • id: 60162316
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  • id: 60162317
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  • id: 60162318
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  • id: 60162319
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  • id: 60162320
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  • id: 60162321
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  • id: 60162322
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  • id: 60162323
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  • id: 60162324
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  • id: 60162325
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  • id: 60162326
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  • id: 60162327
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  • id: 60162328
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  • id: 60162329
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  • id: 60162330
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  • id: 60162331
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  • id: 60162332
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  • id: 60162333
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  • id: 60162334
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  • id: 60162335
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  • id: 60162336
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  • id: 60162337
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  • id: 60162338
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  • id: 60162339
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  • id: 60162340
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  • id: 60162341
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  • id: 60162342
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  • id: 60162343
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  • id: 60162344
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  • id: 60162345
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  • id: 60162346
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  • id: 60162347
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  • id: 60162348
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  • id: 60162349
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  • id: 60162350
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  • id: 60162351
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  • id: 60162352
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  • id: 60162353
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  • id: 60162354
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  • id: 60162355
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  • id: 60162356
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  • id: 60162357
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  • id: 60162358
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  • id: 60162359
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  • id: 60162360
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  • id: 60162361
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  • id: 60162362
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  • id: 60162363
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  • id: 60162364
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  • id: 60162365
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  • id: 60162366
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  • id: 60162367
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  • id: 60162368
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  • id: 60162369
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  • id: 60162370
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  • id: 60162371
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  • id: 60162372
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  • id: 60162373
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  • id: 60162374
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  • id: 60162375
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  • id: 60162376
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  • id: 60162377
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  • id: 60162378
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  • id: 60162379
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  • id: 60162380
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  • id: 60162381
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  • id: 60162382
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  • id: 60162383
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  • id: 60162384
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  • id: 60162385
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  • id: 60162386
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  • id: 60162387
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  • id: 60162388
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  • id: 60162389
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  • id: 60162390
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  • id: 60162391
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  • id: 60162392
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  • id: 60162393
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  • id: 60162394
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  • id: 60162403
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  • id: 60162404
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  • id: 60162405
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  • id: 60162406
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  • id: 60162407
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  • id: 60162408
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  • id: 60162409
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  • id: 60162410
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  • id: 60162411
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  • id: 60162412
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  • id: 60162413
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  • id: 60162414
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  • id: 60162415
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  • id: 60162416
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