Embedded newform data - 4232.2.a.k.1.1

Formats: - HTML - YAML - JSON - 2026-06-06T19:16:39.311101

• 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': 16928, 'analytic_conductor': 33.792690135405856, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [23, -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': [4232, 1, [3175, 2117, 2121], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [2, 4, 1]], [5, [1, 1]], [7, [-18, 0, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996307263624, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '4232.2.a.k', 'level': 4232, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 23], 'level_radical': 46, 'minimal_twist': '4232.2.a.k', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-2+\\beta )q^{3}-q^{5}-3\\beta q^{7}+(3-4\\beta )q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4232.2.a', 'trace_display': [0, -4, -2, 0], 'trace_hash': 1048361434555447512, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.953', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.085', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.322', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.699', 'prec': 17}, {'__RealLiteral__': 0, 'data': '61.283', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.029', 'prec': 17}, 'traces': [2, 0, -4, 0, -2, 0, 0, 0, 6, 0, -4, 0, 2, 0, 4, 0, 8, 0, 8, 0, -12, 0, 0, 0, -8, 0, -16, 0, 6, 0, -12, 0, 12, 0, 0, 0, 0, 0, 4, 0, -2, 0, -4, 0, -6, 0, -4, 0, 22, 0, -8, 0, 10, 0, 4, 0, -12, 0, -8, 0, 14, 0, 48, 0, -2, 0, -8, 0, 0, 0, 8, 0, -2, 0, 16, 0, -12, 0, -8, 0, 46, 0, 12, 0, -8, 0, -20, 0, -14, 0, -24, 0, 16, 0, -8, 0, -14, 0, -28, 0, 26, 0, -12, 0, 12, 0, -16, 0, 6, 0, 16, 0, 10, 0, 0, 0, -26, 0, -24, 0, -10, 0, -4, 0, 18, 0, 4, 0, 32, 0, -32, 0, -12, 0, 16, 0, -26, 0, -4, 0, 20, 0, 4, 0, -6, 0, -44, 0, -18, 0, -28, 0, -8, 0, 12, 0, -2, 0, -20, 0, 0, 0, 0, 0, -12, 0, 4, 0, -8, 0, 8, 0, -2, 0, 0, 0, -4, 0, -28, 0, 0, 0, -20, 0, 0, 0, -8, 0, -96, 0, 20, 0, -2, 0, -4, 0, -2, 0, -4, 0, 0, 0, 24, 0, 2, 0, 0, 0, -12, 0, 4, 0, -36, 0, 4, 0, 24, 0, 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0, 48, 0, 40, 0, 18, 0, -168, 0, 56, 0, 64, 0, 276, 0, 64, 0, -14, 0, 48, 0, -168, 0, 16, 0, -32, 0, 56, 0, 40, 0, 0, 0, 56, 0, 44, 0, 64, 0, -68, 0, -96, 0, -40, 0, 50, 0, -16, 0, -312, 0, 104, 0, -66, 0, -8, 0, 4, 0, -104, 0, 36, 0, -72, 0, -24, 0, -80, 0, -94, 0, -96, 0, 80, 0, -20, 0, 0, 0, 104, 0, 128, 0, -20, 0, -10, 0, 40, 0, 70, 0, 264, 0, -50, 0, -16, 0, 156, 0, 84, 0, 60, 0, 52, 0, 96, 0, -4, 0, 76, 0, 56, 0, -44, 0, -64, 0, 74, 0, -96, 0, 160, 0, 0, 0, -38, 0, 200, 0, -30, 0, -104, 0, -132, 0, -44, 0, -30, 0, -64, 0, 8, 0, 104, 0, -16, 0, 120, 0, -56, 0, 136, 0, 6, 0, -4, 0, 18, 0, -84, 0, 168, 0, -88, 0, -40, 0, 52, 0, 0, 0, -112, 0, 40, 0, -144, 0, 126, 0, 64, 0, -192, 0, 152, 0, 18, 0, 68, 0, 96, 0, 68, 0, -106, 0, 20, 0, -144, 0, 116, 0, 48, 0, 24, 0, 64, 0, -4, 0, -108, 0, -172, 0, 0, 0, 0, 0, 108, 0, 168, 0, -80, 0, 44, 0, 12, 0, -48, 0, -96, 0, -88, 0, 76, 0, 4, 0, 48, 0, -52, 0, 84, 0, -32, 0, -24, 0, -72, 0, -130, 0, 32, 0, -100, 0, 20, 0, 58, 0, 168, 0, 0, 0, 128, 0, 104, 0, 44, 0, 46, 0, 12, 0, 48, 0, 24, 0, -84, 0, -48, 0, 88, 0, -176, 0, 56, 0, -96, 0, -48, 0, 8, 0, -102, 0, 36, 0, 176, 0, 96, 0, -204, 0, -40, 0, 40, 0, 0, 0, 114, 0, -12, 0, -16, 0, 96, 0, -56, 0, 36, 0, 60, 0, 24, 0, -76, 0, -52, 0, 154, 0, 52, 0, 50, 0, 8, 0, -192, 0, 4, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-1.9711971193069775, 0.0], [0.0, 0.0], [-0.4472135954999579, 0.0], [0.0, 0.0], [1.6035674514745464, 0.0], [0.0, 0.0], [2.8856180831641267, 0.0], [0.0, 0.0], [-1.0294241218667481, 0.0], [0.0, 0.0], [-0.5071144424401216, 0.0], [0.0, 0.0], [0.881546151164433, 0.0], [0.0, 0.0], [0.28414815957529654, 0.0], [0.0, 0.0], [0.593220093220722, 0.0], [0.0, 0.0], [-3.160947540961057, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8, 0.0], [0.0, 0.0], [-3.7169249336462715, 0.0], [0.0, 0.0], [1.0823117459700458, 0.0], [0.0, 0.0], [-0.5696313041598874, 0.0], [0.0, 0.0], [2.029197863568849, 0.0], [0.0, 0.0], [-0.7171371656006362, 0.0], [0.0, 0.0], [-0.9299811099505543, 0.0], [0.0, 0.0], [0.9996225280969318, 0.0], [0.0, 0.0], [0.2855523424107801, 0.0], [0.0, 0.0], [-1.5989904191064703, 0.0], [0.0, 0.0], [-1.2904876382115258, 0.0], [0.0, 0.0], [-0.9105827307510651, 0.0], [0.0, 0.0], [1.5714285714285714, 0.0], [0.0, 0.0], [-0.5601120336112039, 0.0], [0.0, 0.0], [0.6868028197434451, 0.0], [0.0, 0.0], [0.4603724628344153, 0.0], [0.0, 0.0], [-1.169353738871704, 0.0], [0.0, 0.0], [0.3998189739750279, 0.0], [0.0, 0.0], [0.5341151753601977, 0.0], [0.0, 0.0], [4.627283235548364, 0.0], [0.0, 0.0], [0.22678847313360323, 0.0], [0.0, 0.0], [0.2024169630398672, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3138940215742305, 0.0], [0.0, 0.0], [0.876085919126711, 0.0], [0.0, 0.0], [1.576957695445582, 0.0], [0.0, 0.0], [-1.650751015588284, 0.0], [0.0, 0.0], [-1.7229268150515777, 0.0], [0.0, 0.0], [4.4411736387196825, 0.0], [0.0, 0.0], [0.9690457702206753, 0.0], [0.0, 0.0], [-0.12707492009836416, 0.0], [0.0, 0.0], [-2.1334497958482594, 0.0], [0.0, 0.0], [-0.741998516004452, 0.0], [0.0, 0.0], [-0.8131922140696413, 0.0], [0.0, 0.0], [1.1228555858270468, 0.0], [0.0, 0.0], [-0.2652960908120593, 0.0], [0.0, 0.0], [0.1508074747477524, 0.0], [0.0, 0.0], [-2.9705248613040403, 0.0], [0.0, 0.0]], 'angles': [None, -0.4729566380076518, -0.28589157328217657, -0.101942292223583, -0.33605058522589065, -0.2908003070629002, -0.22731143853097774, -0.2020719223460373, None, -0.15899344766134257, -0.2959661931765316, -0.32697114107017344, -0.22719854633827993, -0.3974497928273383, -0.325232452098161, -0.19421043780132605, -0.21796759408406, -0.20697430300568306, -0.23386454317834734, -0.13592375550227337, -0.1778358867186894, -0.4152258150310701, -0.1694966170274788, -0.3104923814259038, -0.2379877209948664, -0.1904771938550582, -0.32161616326577314, -0.2353664912033688, -0.1819628289371765, -0.1664356991626496, -0.172989561993515, -0.42268326659590877, -0.32153887508887363, -0.3233404053143601, -0.21622422440770003, -0.35789863902476404, -0.3317519388008999, -0.3133641614492348, -0.29036705949068436, -0.36969269373342545, -0.2830377497650866, -0.266760960711006, -0.13340968726109656, -0.23951899114675534, -0.17245688714688662, -0.4371439554329528, -0.2155318895128762, -0.244291160857252, -0.08786106426531642, -0.16556562915716003, -0.2707585158140583, -0.1575296263976879, -0.19423877835614917, -0.3558650950945047, -0.36011906729200027, -0.3373960083353389, -0.38062539763334524, -0.31860812559514584, -0.37349583933614444, -0.1039374499342246, -0.3122592423563854, -0.387060156571639, -0.2504564671045885, -0.2585754761276881, -0.2364898267065949, -0.27306349367193644, -0.25662725401342795, -0.32093978215911545, -0.26044663547548014, -0.28646275988433234, -0.25072669625426736, -0.16938146287286093, -0.3840338913745781, -0.16434556511790505, -0.13037882435177486, -0.36453837344090223, -0.21949362073375614, -0.38757224955827657, -0.131486938708145, -0.3197820521209816, -0.21210071328613792, -0.3025871160036805, -0.22142725221955387, -0.12468924112329076, -0.3061745715089018, -0.3751778187443623, -0.13108662499100754, -0.3516370735917202, -0.15727206565192944, -0.22281994263046342, -0.13308295306077608, -0.31664779243444635, -0.3467725332654285, -0.4303625478659909, -0.15974219262889164, -0.2848999286595092, -0.3062872347513912, -0.33728128271461766, -0.2244409160940904, -0.3182515286546132], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.4142135623730951, 'hecke_orbit': 11, 'hecke_orbit_code': 45035996307263624, 'label': '4232.2.a.k.1.1', 'level': 4232, 'weight': 2}
• 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': [27, 36, 33, 30], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [23, 24, 24, 24], 'ALdims_old': [94, 96, 99, 90], 'Nk2': 16928, 'analytic_conductor': 33.792690135405856, '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': [4232, 1, [3175, 2117, 2121], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 505, 'dim': 126, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 33558664, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 6, 8, 12, 15, 15, 15, 15], 'label': '4232.2.a', 'level': 4232, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 23], 'level_radical': 46, 'mf_dim': 600, 'mf_new_dim': 126, 'num_forms': 28, 'plus_dim': 57, 'prim_orbit_index': 1, 'relative_dim': 126, 'sturm_bound': 1104, 'trace_bound': 7, 'trace_display': [0, 0, 2, 0], 'traces': [126, 0, 0, 0, 2, 0, 0, 0, 130, 0, -2, 0, 0, 0, -4, 0, 4, 0, -2, 0, 4, 0, 0, 0, 134, 0, -12, 0, -12, 0, 12, 0, 12, 0, 0, 0, 18, 0, 28, 0, -4, 0, 10, 0, -18, 0, 0, 0, 134, 0, -4, 0, 6, 0, -20, 0, 0, 0, 0, 0, 26, 0, 20, 0, -16, 0, -6, 0, 0, 0, 0, 0, 28, 0, 24, 0, -24, 0, -4, 0, 126, 0, -14, 0, -12, 0, -28, 0, -12, 0, 36, 0, -28, 0, 12, 0, 12, 0, -14, 0, 4, 0, -36, 0, 8, 0, -42, 0, -6, 0, -12, 0, 16, 0, 0, 0, 12, 0, -60, 0, 106, 0, 28, 0, 36, 0, 16, 0, 32, 0, 8, 0, 8, 0, 44, 0, -48, 0, 60, 0, 4, 0, -16, 0, 8, 0, 16, 0, 14, 0, -8, 0, 56, 0, -12, 0, -10, 0, 8, 0, 0, 0, -8, 0, 72, 0, 52, 0, 94, 0, -74, 0, 16, 0, -16, 0, -40, 0, 4, 0, -42, 0, 48, 0, -24, 0, -12, 0, 28, 0, -24, 0, 20, 0, 28, 0, 36, 0, -56, 0, -44, 0, 60, 0, -8, 0, 0, 0, 0, 0, -24, 0, -28, 0, 72, 0, 36, 0, -20, 0, 12, 0, 64, 0, 186, 0, -2, 0, -54, 0, 20, 0, -20, 0, -44, 0, 0, 0, -8, 0, 36, 0, 4, 0, 34, 0, 68, 0, 20, 0, -54, 0, 0, 0, 4, 0, 56, 0, 28, 0, -40, 0, -24, 0, 0, 0, -112, 0, -72, 0, -36, 0, -68, 0, 74, 0, -36, 0, 12, 0, 40, 0, 14, 0, 0, 0, -60, 0, 110, 0, -68, 0, -42, 0, -40, 0, 20, 0, 0, 0, -16, 0, -120, 0, -72, 0, 28, 0, 12, 0, 20, 0, 24, 0, -48, 0, 68, 0, 64, 0, -40, 0, 100, 0, 16, 0, -8, 0, 52, 0, 76, 0, 54, 0, -52, 0, 60, 0, -36, 0, -4, 0, 0, 0, 0, 0, -28, 0, 44, 0, 64, 0, -88, 0, -92, 0, -32, 0, 36, 0, 74, 0, 32, 0, -32, 0, 32, 0, -56, 0, -12, 0, 2, 0, -24, 0, 4, 0, 38, 0, -52, 0, -24, 0, -16, 0, 98, 0, 42, 0, 0, 0, 52, 0, -8, 0, -60, 0, 44, 0, 76, 0, -12, 0, 34, 0, 108, 0, -12, 0, 40, 0, -32, 0, 20, 0, 36, 0, -58, 0, 58, 0, -100, 0, 20, 0, -16, 0, 68, 0, 84, 0, -12, 0, -28, 0, 0, 0, -4, 0, 230, 0, 16, 0, -52, 0, -32, 0, 28, 0, -128, 0, 0, 0, -76, 0, -44, 0, 108, 0, -16, 0, 12, 0, 4, 0, -18, 0, 20, 0, -48, 0, 84, 0, -70, 0, -18, 0, -44, 0, -56, 0, 0, 0, 32, 0, -96, 0, 12, 0, 32, 0, 92, 0, -28, 0, 4, 0, -24, 0, -44, 0, 44, 0, -84, 0, 80, 0, -76, 0, 12, 0, -64, 0, 112, 0, -36, 0, 28, 0, -8, 0, -70, 0, -4, 0, 4, 0, 0, 0, 20, 0, -192, 0, 28, 0, 0, 0, -34, 0, 0, 0, 52, 0, -300, 0, 44, 0, -38, 0, -52, 0, -40, 0, -76, 0, 18, 0, -20, 0, -8, 0, -38, 0, -248, 0, -16, 0, -12, 0, 50, 0, 28, 0, 0, 0, -8, 0, 20, 0, -72, 0, 52, 0, -20, 0, 40, 0, 80, 0, 176, 0, -220, 0, 16, 0, -68, 0, -92, 0, 44, 0, -26, 0, -22, 0, -96, 0, 36, 0, -44, 0, 54, 0, 92, 0, -28, 0, -6, 0, 0, 0, -48, 0, 118, 0, 44, 0, -332, 0, 72, 0, -28, 0, -20, 0, -32, 0, -108, 0, 88, 0, 102, 0, -88, 0, 100, 0, 8, 0, -12, 0, -60, 0, -116, 0, -40, 0, -46, 0, -30, 0, -148, 0, 96, 0, 0, 0, -40, 0, -112, 0, -288, 0, 16, 0, -10, 0, 16, 0, 60, 0, -116, 0, 32, 0, 104, 0, 36, 0, 100, 0, 44, 0, 20, 0, 36, 0, -4, 0, 22, 0, 100, 0, 84, 0, -48, 0, 2, 0, 92, 0, 0, 0, 24, 0, -12, 0, 72, 0, 48, 0, -92, 0, -288, 0, 96, 0, 190, 0, 32, 0, -54, 0, -20, 0, 20, 0, -56, 0, 80, 0, -28, 0, -8, 0, 142, 0, 44, 0, -24, 0, 36, 0, 116, 0, -18, 0, 0, 0, -64, 0, 64, 0, 44, 0, 72, 0, 52, 0, 12, 0, -46, 0, 132, 0, -64, 0, -140, 0, -4, 0, -116, 0, -380, 0, -14, 0, 32, 0, -52, 0, -92, 0, 20, 0, -14, 0, 116, 0, -36, 0, -136, 0, 0, 0, 36, 0, 32, 0, -36, 0, 8, 0, 84, 0, 72, 0, -160, 0, 40, 0, -52, 0, -60, 0, -42, 0, -4, 0, 68, 0, -28, 0, 64, 0, 16, 0, -84, 0, 142, 0, 20, 0, 130, 0, -160, 0, -68, 0, 0, 0, -216, 0, -84, 0, -60, 0, -40, 0, 60, 0, -52, 0, 60, 0, -128, 0, -80, 0, 32, 0, -32, 0, 68, 0, 16, 0, 48, 0, 24, 0, 12, 0, -32, 0, -108, 0, -36, 0, -34, 0, -128, 0, 52, 0, 0, 0, -20, 0, 0, 0, -40, 0, -56, 0, -78, 0, -20, 0, 196, 0, 0, 0, 92, 0, 84, 0, -48, 0, -40, 0, 32, 0, -34, 0, -24, 0, -320, 0, 158, 0, -4, 0, 112, 0, -16, 0, 112, 0, -22, 0, 0, 0, -12, 0, 92, 0, 36, 0, -124, 0, -120, 0, 28, 0, -4, 0, 116, 0, 174, 0, -58, 0, 16, 0, -76, 0, 76, 0, -46, 0, -148, 0, -172, 0, 68, 0, 28, 0, -46, 0, 4, 0, 88, 0, 36, 0, 0, 0, -24, 0, -80, 0, -32, 0, 120, 0, 116, 0], 'weight': 2, '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: 47066526
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996307263624, 'source_is_minimal': True, 'source_label': '4232.2.a.k.1.1', 'source_level': 4232, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307263624, 'target_is_minimal': True, 'target_label': '4232.2.a.k.1.1', 'target_level': 4232, 'twist_class_label': '4232.2.a.k.1.1', 'twist_class_level': 4232, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47066527
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996307263624, 'source_is_minimal': True, 'source_label': '4232.2.a.k.1.1', 'source_level': 4232, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 144115188109418768, 'target_is_minimal': False, 'target_label': '8464.2.a.bg.1.2', 'target_level': 8464, 'twist_class_label': '4232.2.a.k.1.1', 'twist_class_level': 4232, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47066528
    {'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996307263624, 'source_is_minimal': True, 'source_label': '4232.2.a.k.1.1', 'source_level': 4232, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595934634120, 'target_is_minimal': True, 'target_label': '4232.2.a.l.1.1', 'target_level': 4232, 'twist_class_label': '4232.2.a.k.1.1', 'twist_class_level': 4232, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 2}
  • id: 47066529
    {'conductor': 92, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996307263624, 'source_is_minimal': True, 'source_label': '4232.2.a.k.1.1', 'source_level': 4232, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 157625986991530256, 'target_is_minimal': False, 'target_label': '8464.2.a.bj.1.2', 'target_level': 8464, 'twist_class_label': '4232.2.a.k.1.1', 'twist_class_level': 4232, 'twisting_char_label': '92.91', 'twisting_conrey_index': 91, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3539125
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996307263624, 'p': 2}
  • id: 3539126
    {'charpoly_factorization': [[[2, 4, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 3}
  • id: 3539127
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 45035996307263624, 'p': 5}
  • id: 3539128
    {'charpoly_factorization': [[[-18, 0, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 7}
  • id: 3539129
    {'charpoly_factorization': [[[2, 4, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 11}
  • id: 3539130
    {'charpoly_factorization': [[[-7, -2, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 13}
  • id: 3539131
    {'charpoly_factorization': [[[8, -8, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 17}
  • id: 3539132
    {'charpoly_factorization': [[[14, -8, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 19}
  • id: 3539133
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996307263624, 'p': 23}
  • id: 3539134
    {'charpoly_factorization': [[[1, -6, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 29}
  • id: 3539135
    {'charpoly_factorization': [[[28, 12, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 31}
  • id: 3539136
    {'charpoly_factorization': [[[-32, 0, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 37}
  • id: 3539137
    {'charpoly_factorization': [[[-7, 2, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 41}
  • id: 3539138
    {'charpoly_factorization': [[[-68, 4, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 43}
  • id: 3539139
    {'charpoly_factorization': [[[-14, 4, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 47}
  • id: 3539140
    {'charpoly_factorization': [[[-5, 1], 2]], 'hecke_orbit_code': 45035996307263624, 'p': 53}
  • id: 3539141
    {'charpoly_factorization': [[[-34, 8, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 59}
  • id: 3539142
    {'charpoly_factorization': [[[41, -14, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 61}
  • id: 3539143
    {'charpoly_factorization': [[[-16, 8, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 67}
  • id: 3539144
    {'charpoly_factorization': [[[-34, -8, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 71}
  • id: 3539145
    {'charpoly_factorization': [[[-71, 2, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 73}
  • id: 3539146
    {'charpoly_factorization': [[[-112, 8, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 79}
  • id: 3539147
    {'charpoly_factorization': [[[28, -12, 1], 1]], 'hecke_orbit_code': 45035996307263624, 'p': 83}
  • id: 3539148
    {'charpoly_factorization': [[[7, 1], 2]], 'hecke_orbit_code': 45035996307263624, 'p': 89}
  • id: 3539149
    {'charpoly_factorization': [[[-23, 14, 1], 1]], 'hecke_orbit_code': 45035996307263624, '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': 11, 'label': '4232.2.a.k', 'level': 4232, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 54474355
    {'hecke_orbit_code': 45035996307263624, 'n': 1, 'trace_an': 2}
  • id: 54474356
    {'hecke_orbit_code': 45035996307263624, 'n': 2, 'trace_an': 0}
  • id: 54474357
    {'hecke_orbit_code': 45035996307263624, 'n': 3, 'trace_an': -4}
  • id: 54474358
    {'hecke_orbit_code': 45035996307263624, 'n': 4, 'trace_an': 0}
  • id: 54474359
    {'hecke_orbit_code': 45035996307263624, 'n': 5, 'trace_an': -2}
  • id: 54474360
    {'hecke_orbit_code': 45035996307263624, 'n': 6, 'trace_an': 0}
  • id: 54474361
    {'hecke_orbit_code': 45035996307263624, 'n': 7, 'trace_an': 0}
  • id: 54474362
    {'hecke_orbit_code': 45035996307263624, 'n': 8, 'trace_an': 0}
  • id: 54474363
    {'hecke_orbit_code': 45035996307263624, 'n': 9, 'trace_an': 6}
  • id: 54474364
    {'hecke_orbit_code': 45035996307263624, 'n': 10, 'trace_an': 0}
  • id: 54474365
    {'hecke_orbit_code': 45035996307263624, 'n': 11, 'trace_an': -4}
  • id: 54474366
    {'hecke_orbit_code': 45035996307263624, 'n': 12, 'trace_an': 0}
  • id: 54474367
    {'hecke_orbit_code': 45035996307263624, 'n': 13, 'trace_an': 2}
  • id: 54474368
    {'hecke_orbit_code': 45035996307263624, 'n': 14, 'trace_an': 0}
  • id: 54474369
    {'hecke_orbit_code': 45035996307263624, 'n': 15, 'trace_an': 4}
  • id: 54474370
    {'hecke_orbit_code': 45035996307263624, 'n': 16, 'trace_an': 0}
  • id: 54474371
    {'hecke_orbit_code': 45035996307263624, 'n': 17, 'trace_an': 8}
  • id: 54474372
    {'hecke_orbit_code': 45035996307263624, 'n': 18, 'trace_an': 0}
  • id: 54474373
    {'hecke_orbit_code': 45035996307263624, 'n': 19, 'trace_an': 8}
  • id: 54474374
    {'hecke_orbit_code': 45035996307263624, 'n': 20, 'trace_an': 0}
  • id: 54474375
    {'hecke_orbit_code': 45035996307263624, 'n': 21, 'trace_an': -12}
  • id: 54474376
    {'hecke_orbit_code': 45035996307263624, 'n': 22, 'trace_an': 0}
  • id: 54474377
    {'hecke_orbit_code': 45035996307263624, 'n': 23, 'trace_an': 0}
  • id: 54474378
    {'hecke_orbit_code': 45035996307263624, 'n': 24, 'trace_an': 0}
  • id: 54474379
    {'hecke_orbit_code': 45035996307263624, 'n': 25, 'trace_an': -8}
  • id: 54474380
    {'hecke_orbit_code': 45035996307263624, 'n': 26, 'trace_an': 0}
  • id: 54474381
    {'hecke_orbit_code': 45035996307263624, 'n': 27, 'trace_an': -16}
  • id: 54474382
    {'hecke_orbit_code': 45035996307263624, 'n': 28, 'trace_an': 0}
  • id: 54474383
    {'hecke_orbit_code': 45035996307263624, 'n': 29, 'trace_an': 6}
  • id: 54474384
    {'hecke_orbit_code': 45035996307263624, 'n': 30, 'trace_an': 0}
  • id: 54474385
    {'hecke_orbit_code': 45035996307263624, 'n': 31, 'trace_an': -12}
  • id: 54474386
    {'hecke_orbit_code': 45035996307263624, 'n': 32, 'trace_an': 0}
  • id: 54474387
    {'hecke_orbit_code': 45035996307263624, 'n': 33, 'trace_an': 12}
  • id: 54474388
    {'hecke_orbit_code': 45035996307263624, 'n': 34, 'trace_an': 0}
  • id: 54474389
    {'hecke_orbit_code': 45035996307263624, 'n': 35, 'trace_an': 0}
  • id: 54474390
    {'hecke_orbit_code': 45035996307263624, 'n': 36, 'trace_an': 0}
  • id: 54474391
    {'hecke_orbit_code': 45035996307263624, 'n': 37, 'trace_an': 0}
  • id: 54474392
    {'hecke_orbit_code': 45035996307263624, 'n': 38, 'trace_an': 0}
  • id: 54474393
    {'hecke_orbit_code': 45035996307263624, 'n': 39, 'trace_an': 4}
  • id: 54474394
    {'hecke_orbit_code': 45035996307263624, 'n': 40, 'trace_an': 0}
  • id: 54474395
    {'hecke_orbit_code': 45035996307263624, 'n': 41, 'trace_an': -2}
  • id: 54474396
    {'hecke_orbit_code': 45035996307263624, 'n': 42, 'trace_an': 0}
  • id: 54474397
    {'hecke_orbit_code': 45035996307263624, 'n': 43, 'trace_an': -4}
  • id: 54474398
    {'hecke_orbit_code': 45035996307263624, 'n': 44, 'trace_an': 0}
  • id: 54474399
    {'hecke_orbit_code': 45035996307263624, 'n': 45, 'trace_an': -6}
  • id: 54474400
    {'hecke_orbit_code': 45035996307263624, 'n': 46, 'trace_an': 0}
  • id: 54474401
    {'hecke_orbit_code': 45035996307263624, 'n': 47, 'trace_an': -4}
  • id: 54474402
    {'hecke_orbit_code': 45035996307263624, 'n': 48, 'trace_an': 0}
  • id: 54474403
    {'hecke_orbit_code': 45035996307263624, 'n': 49, 'trace_an': 22}
  • id: 54474404
    {'hecke_orbit_code': 45035996307263624, 'n': 50, 'trace_an': 0}
  • id: 54474405
    {'hecke_orbit_code': 45035996307263624, 'n': 51, 'trace_an': -8}
  • id: 54474406
    {'hecke_orbit_code': 45035996307263624, 'n': 52, 'trace_an': 0}
  • id: 54474407
    {'hecke_orbit_code': 45035996307263624, 'n': 53, 'trace_an': 10}
  • id: 54474408
    {'hecke_orbit_code': 45035996307263624, 'n': 54, 'trace_an': 0}
  • id: 54474409
    {'hecke_orbit_code': 45035996307263624, 'n': 55, 'trace_an': 4}
  • id: 54474410
    {'hecke_orbit_code': 45035996307263624, 'n': 56, 'trace_an': 0}
  • id: 54474411
    {'hecke_orbit_code': 45035996307263624, 'n': 57, 'trace_an': -12}
  • id: 54474412
    {'hecke_orbit_code': 45035996307263624, 'n': 58, 'trace_an': 0}
  • id: 54474413
    {'hecke_orbit_code': 45035996307263624, 'n': 59, 'trace_an': -8}
  • id: 54474414
    {'hecke_orbit_code': 45035996307263624, 'n': 60, 'trace_an': 0}
  • id: 54474415
    {'hecke_orbit_code': 45035996307263624, 'n': 61, 'trace_an': 14}
  • id: 54474416
    {'hecke_orbit_code': 45035996307263624, 'n': 62, 'trace_an': 0}
  • id: 54474417
    {'hecke_orbit_code': 45035996307263624, 'n': 63, 'trace_an': 48}
  • id: 54474418
    {'hecke_orbit_code': 45035996307263624, 'n': 64, 'trace_an': 0}
  • id: 54474419
    {'hecke_orbit_code': 45035996307263624, 'n': 65, 'trace_an': -2}
  • id: 54474420
    {'hecke_orbit_code': 45035996307263624, 'n': 66, 'trace_an': 0}
  • id: 54474421
    {'hecke_orbit_code': 45035996307263624, 'n': 67, 'trace_an': -8}
  • id: 54474422
    {'hecke_orbit_code': 45035996307263624, 'n': 68, 'trace_an': 0}
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  • id: 54474425
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  • id: 54474426
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  • id: 54474427
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  • id: 54474428
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  • id: 54474429
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  • id: 54474430
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  • id: 54474431
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  • id: 54474432
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  • id: 54474435
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  • id: 54474436
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  • id: 54474437
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  • id: 54474438
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  • id: 54474439
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  • id: 54474440
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  • id: 54474441
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  • id: 54474442
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  • id: 54474443
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  • id: 54474444
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  • id: 54474445
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  • id: 54474446
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  • id: 54474447
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  • id: 54474448
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  • id: 54474449
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  • id: 54474450
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  • id: 54474452
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  • id: 54474453
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  • id: 54474455
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  • id: 54474456
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  • id: 54474457
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  • id: 54474458
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  • id: 54474459
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  • id: 54474460
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  • id: 54474461
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  • id: 54474462
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  • id: 54474463
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  • id: 54474464
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  • id: 54474465
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  • id: 54474466
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  • id: 54474467
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  • id: 54474468
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  • id: 54474469
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  • id: 54474470
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  • id: 54474471
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  • id: 54474472
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  • id: 54474473
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  • id: 54474474
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  • id: 54474476
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  • id: 54474477
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  • id: 54474478
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  • id: 54474479
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  • id: 54474480
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  • id: 54474481
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  • id: 54474482
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  • id: 54474483
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  • id: 54474484
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  • id: 54474485
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  • id: 54474486
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  • id: 54474487
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  • id: 54474488
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  • id: 54474489
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  • id: 54474490
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  • id: 54474491
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  • id: 54474492
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  • id: 54474493
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  • id: 54474494
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  • id: 54474495
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  • id: 54474496
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  • id: 54474497
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  • id: 54474498
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  • id: 54474499
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  • id: 54474500
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  • id: 54474501
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  • id: 54474502
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  • id: 54474503
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  • id: 54474504
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  • id: 54474505
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  • id: 54474506
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  • id: 54474507
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  • id: 54474508
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  • id: 54474509
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  • id: 54474510
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  • id: 54474511
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  • id: 54474512
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  • id: 54474513
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  • id: 54474514
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  • id: 54474515
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  • id: 54474516
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  • id: 54474517
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  • id: 54474518
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  • id: 54474519
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  • id: 54474520
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  • id: 54474521
    {'hecke_orbit_code': 45035996307263624, 'n': 431, 'trace_an': 12}
  • id: 54474522
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  • id: 54474523
    {'hecke_orbit_code': 45035996307263624, 'n': 439, 'trace_an': -12}
  • id: 54474524
    {'hecke_orbit_code': 45035996307263624, 'n': 443, 'trace_an': -20}
  • id: 54474525
    {'hecke_orbit_code': 45035996307263624, 'n': 449, 'trace_an': 18}
  • id: 54474526
    {'hecke_orbit_code': 45035996307263624, 'n': 457, 'trace_an': -34}
  • id: 54474527
    {'hecke_orbit_code': 45035996307263624, 'n': 461, 'trace_an': 2}
  • id: 54474528
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  • id: 54474529
    {'hecke_orbit_code': 45035996307263624, 'n': 467, 'trace_an': 24}
  • id: 54474530
    {'hecke_orbit_code': 45035996307263624, 'n': 479, 'trace_an': 4}
  • id: 54474531
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  • id: 54474532
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  • id: 54474533
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  • id: 54474534
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  • id: 54474535
    {'hecke_orbit_code': 45035996307263624, 'n': 509, 'trace_an': 14}
  • id: 54474536
    {'hecke_orbit_code': 45035996307263624, 'n': 512, 'trace_an': 0}
  • id: 54474537
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  • id: 54474538
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  • id: 54474539
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  • id: 54474540
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  • id: 54474541
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  • id: 54474542
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  • id: 54474543
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  • id: 54474544
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  • id: 54474545
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  • id: 54474546
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  • id: 54474547
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  • id: 54474548
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  • id: 54474549
    {'hecke_orbit_code': 45035996307263624, 'n': 599, 'trace_an': -8}
  • id: 54474550
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  • id: 54474551
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  • id: 54474552
    {'hecke_orbit_code': 45035996307263624, 'n': 613, 'trace_an': 54}
  • id: 54474553
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  • id: 54474554
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  • id: 54474555
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  • id: 54474556
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  • id: 54474557
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  • id: 54474558
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  • id: 54474559
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  • id: 54474560
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  • id: 54474561
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  • id: 54474562
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  • id: 54474563
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  • id: 54474564
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  • id: 54474565
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  • id: 54474566
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  • id: 54474567
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  • id: 54474568
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  • id: 54474569
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  • id: 54474570
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  • id: 54474571
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  • id: 54474572
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  • id: 54474573
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  • id: 54474574
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  • id: 54474575
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  • id: 54474576
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  • id: 54474577
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  • id: 54474578
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  • id: 54474579
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  • id: 54474580
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  • id: 54474581
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  • id: 54474582
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  • id: 54474583
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  • id: 54474584
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  • id: 54474585
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  • id: 54474586
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  • id: 54474587
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  • id: 54474588
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  • id: 54474589
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  • id: 54474590
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  • id: 54474591
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  • id: 54474592
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  • id: 54474593
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  • id: 54474594
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  • id: 54474595
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  • id: 54474596
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  • id: 54474597
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  • id: 54474598
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  • id: 54474599
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  • id: 54474600
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  • id: 54474601
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  • id: 54474602
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  • id: 54474603
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  • id: 54474604
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  • id: 54474605
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  • id: 54474606
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  • id: 54474607
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  • id: 54474608
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  • id: 54474609
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  • id: 54474610
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  • id: 54474611
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  • id: 54474612
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