Newform data - 27.6.e.a

Formats: - HTML - YAML - JSON - 2024-04-27T23:37:02.807910

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  conrey_indexes	integer[]
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 972, 'analytic_conductor': 4.330363134950477, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 27, 'char_degree': 6, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 9, 'char_parity': 1, 'char_values': [27, 9, [2], [1]], 'cm_discs': [], 'conrey_index': 4, 'conrey_indexes': [4, 7, 13, 16, 22, 25], 'dim': 84, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 274978570267, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 27, 5, 1, 9, 0]], 'is_cm': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '27.6.e.a', 'level': 27, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'minimal_twist': '27.6.e.a', 'prim_orbit_index': 5, 'related_objects': [], 'relative_dim': 14, 'rm_discs': [], 'sato_tate_group': '5.2.3.c9', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '27.6.e', 'trace_display': [-6, -6, -93, -6], 'traces': [84, -6, -6, -6, -93, -126, -6, 573, 324, -3, 111, -2769, -6, -1641, 1989, 90, 3465, -99, -3, 9987, 5424, -2850, -7716, -18486, 4953, -7806, -8109, -12, -20418, -6453, -6657, 51192, 50634, -11394, 35868, -3600, -3, -44076, -13971, 12441, -79077, -64422, -9465, 110757, 92493, -3, 103557, 134049, 5484, -105513, -124866, 68625, -206406, -350946, -12, -147237, 67767, -9753, 116484, 241290, -70116, 246066, 135981, -86019, -19815, -32931, 48117, -48105, 25263, 270111, 279531, 441684, -27012, 233691, 18399, -125670, -345135, -520974, -216186, -924114, -428616, -12, -370401, -522390, -43731, 116682, 304173, 371418, 154827, 327366, -91002, 1279059, 890079, 11667, 1087671, 1165698, -420621, 463410, -28323, -150003, -276009, -940221, 213150, -1465287, -1230363, 491157, -616914, -1422693, -12, -1721682, -976107, 306759, -961194, -1366920, -321, 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1537809, 7599360, 13816806, -469482, 13403745, 10526571, -3297135, 7284681, 10213353, -623190, 3663105, 248037, -5152887, -6887082, -26261712, -480759, -20582574, -15134121, -4076940, -11837052, -4390452, -3495657, 6052809, 7665732, -6617805, 9135981, 18523845, 356100, 16097181, 13256181, 2561538, 11939379, 17327916, 4010343, 11657883, 1084734, 2315409, -291255, -7602507, 8974503, -27317067, -18136017, 8966268, -19926684, -30535587, -1745814, -22051710, -14616753, -3297624, -3415542, 3772161, -1016799, 4249428, 4314456, -103395, 16705623, 17614377, -3526989, 20901024, 14162904, -6592872, 10976943, 17146260, 501123, 1667151, -7455891, -10700265, -1618968, -8299206, 1358463, -21693282, -2822229, -12, -2850324, -8173113, 19067439, -5839221, -5166954, 20982474, 9214419, 20863053, -2735679, 20315436, 12399657, 3581733, 6824814, 21118284, -4199487, 2198058, -8326377, 3013467, -13222077, -13148379, -13950213, -14324817, -11364372, -23168157, 1946412, -13749471, -12, -18865641, -5847213, 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11511198, 35202585, -21647196, 54090666, -10675218, 13854297, -8585055, 14332227, -6160173, -25483680, 320250, -37012221, -39025503, -4259574, -46538745, -76364760, -38643264, -49980729, -1667448, -30733800, -6109803, 21935034, 656934, 54966489, 57421716, 16331124, 80911446, 62574795, 18174837, 66014376, 70687701, 28709688, 64230033, 101642571, 22036872, 34555557, 34134606, 39757581, -7176780, -55942767, 4033527, -88130520, -78555855, 27820227, -72213771, -102345219, -4904067, -42767415, -35680689, -13010142, -5493759, 46472391, -36744186, -4807884, 13997124, -97322673, 2055918, 2268567, -24984840, 76658511, 21709851, -78248403, -1654464, 13045968, -21272679, -45531672, -53401806, -6332724, -91043280, -122925807, 26586174, -137963913, -47424249, 43168581, 7706592, 33620679, 10312647, 85689288, 91403523, 52921662, 106782234, 152350191, 22619868, 142508130, 83615661, 35137248, 98543505, 94540911, 17303511, 85032534, 51109326, 1212279, 3153591, -46994076, 4609455, -143188887, -92143479, 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• label 27.6.e.a does not appear in mf_hecke_nf
• mf_newspaces •

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

  
  {'Nk2': 972, 'analytic_conductor': 4.330363134950477, 'char_conductor': 27, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 9, 'char_parity': 1, 'char_values': [27, 9, [2], [1]], 'conrey_index': 4, 'cusp_dim': 84, 'dim': 84, 'eis_dim': 12, 'eis_new_dim': 12, 'hecke_cutter_primes': [], 'hecke_orbit_code': 274978570267, 'hecke_orbit_dims': [84], 'label': '27.6.e', 'level': 27, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'mf_dim': 96, 'mf_new_dim': 96, 'num_forms': 1, 'prim_orbit_index': 5, 'relative_dim': 14, 'sturm_bound': 18, 'trace_bound': 0, 'trace_display': [-6, -6, -93, -6], 'traces': [84, -6, -6, -6, -93, -126, -6, 573, 324, -3, 111, -2769, -6, -1641, 1989, 90, 3465, -99, -3, 9987, 5424, -2850, -7716, -18486, 4953, -7806, -8109, -12, -20418, -6453, -6657, 51192, 50634, -11394, 35868, -3600, -3, -44076, -13971, 12441, 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• 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: 22081
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 5, 'source_dim': 84, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '27.6.e.a', 'source_level': 27, 'target_char_orbit': 5, 'target_dim': 84, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '27.6.e.a', 'target_level': 27, 'twist_class_label': '27.6.e.a', 'twist_class_level': 27, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 6}
  • id: 22082
    {'conductor': 27, 'degree': 6, 'multiplicity': 1, 'order': 9, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 84, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '27.6.e.a', 'source_level': 27, 'target_char_orbit': 5, 'target_dim': 84, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '27.6.e.a', 'target_level': 27, 'twist_class_label': '27.6.e.a', 'twist_class_level': 27, 'twisting_char_label': '27.e', 'twisting_char_orbit': 5, 'weight': 6}
  • id: 22083
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 84, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '27.6.e.a', 'source_level': 27, 'target_char_orbit': 5, 'target_dim': 84, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '81.6.e.a', 'target_level': 81, 'twist_class_label': '27.6.e.a', 'twist_class_level': 27, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 6}
  • id: 22084
    {'conductor': 27, 'degree': 6, 'multiplicity': 1, 'order': 18, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 84, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '27.6.e.a', 'source_level': 27, 'target_char_orbit': 5, 'target_dim': 84, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '81.6.e.a', 'target_level': 81, 'twist_class_label': '27.6.e.a', 'twist_class_level': 27, 'twisting_char_label': '27.f', 'twisting_char_orbit': 6, 'weight': 6}
  • id: 22085
    {'conductor': 27, 'degree': 6, 'multiplicity': 1, 'order': 9, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 84, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '27.6.e.a', 'source_level': 27, 'target_char_orbit': 1, 'target_dim': 42, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '729.6.a.c', 'target_level': 729, 'twist_class_label': '27.6.e.a', 'twist_class_level': 27, 'twisting_char_label': '27.e', 'twisting_char_orbit': 5, 'weight': 6}
  • id: 22086
    {'conductor': 27, 'degree': 6, 'multiplicity': 1, 'order': 18, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 84, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '27.6.e.a', 'source_level': 27, 'target_char_orbit': 1, 'target_dim': 42, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '729.6.a.e', 'target_level': 729, 'twist_class_label': '27.6.e.a', 'twist_class_level': 27, 'twisting_char_label': '27.f', 'twisting_char_orbit': 6, 'weight': 6}
• hecke_orbit_code 274978570267 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 5, 'hecke_orbit': 1, 'label': '27.6.e.a', 'level': 27, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30441000
    {'hecke_orbit_code': 274978570267, 'n': 1, 'trace_an': 84}
  • id: 30441001
    {'hecke_orbit_code': 274978570267, 'n': 2, 'trace_an': -6}
  • id: 30441002
    {'hecke_orbit_code': 274978570267, 'n': 3, 'trace_an': -6}
  • id: 30441003
    {'hecke_orbit_code': 274978570267, 'n': 4, 'trace_an': -6}
  • id: 30441004
    {'hecke_orbit_code': 274978570267, 'n': 5, 'trace_an': -93}
  • id: 30441005
    {'hecke_orbit_code': 274978570267, 'n': 6, 'trace_an': -126}
  • id: 30441006
    {'hecke_orbit_code': 274978570267, 'n': 7, 'trace_an': -6}
  • id: 30441007
    {'hecke_orbit_code': 274978570267, 'n': 8, 'trace_an': 573}
  • id: 30441008
    {'hecke_orbit_code': 274978570267, 'n': 9, 'trace_an': 324}
  • id: 30441009
    {'hecke_orbit_code': 274978570267, 'n': 10, 'trace_an': -3}
  • id: 30441010
    {'hecke_orbit_code': 274978570267, 'n': 11, 'trace_an': 111}
  • id: 30441011
    {'hecke_orbit_code': 274978570267, 'n': 12, 'trace_an': -2769}
  • id: 30441012
    {'hecke_orbit_code': 274978570267, 'n': 13, 'trace_an': -6}
  • id: 30441013
    {'hecke_orbit_code': 274978570267, 'n': 14, 'trace_an': -1641}
  • id: 30441014
    {'hecke_orbit_code': 274978570267, 'n': 15, 'trace_an': 1989}
  • id: 30441015
    {'hecke_orbit_code': 274978570267, 'n': 16, 'trace_an': 90}
  • id: 30441016
    {'hecke_orbit_code': 274978570267, 'n': 17, 'trace_an': 3465}
  • id: 30441017
    {'hecke_orbit_code': 274978570267, 'n': 18, 'trace_an': -99}
  • id: 30441018
    {'hecke_orbit_code': 274978570267, 'n': 19, 'trace_an': -3}
  • id: 30441019
    {'hecke_orbit_code': 274978570267, 'n': 20, 'trace_an': 9987}
  • id: 30441020
    {'hecke_orbit_code': 274978570267, 'n': 21, 'trace_an': 5424}
  • id: 30441021
    {'hecke_orbit_code': 274978570267, 'n': 22, 'trace_an': -2850}
  • id: 30441022
    {'hecke_orbit_code': 274978570267, 'n': 23, 'trace_an': -7716}
  • id: 30441023
    {'hecke_orbit_code': 274978570267, 'n': 24, 'trace_an': -18486}
  • id: 30441024
    {'hecke_orbit_code': 274978570267, 'n': 25, 'trace_an': 4953}
  • id: 30441025
    {'hecke_orbit_code': 274978570267, 'n': 26, 'trace_an': -7806}
  • id: 30441026
    {'hecke_orbit_code': 274978570267, 'n': 27, 'trace_an': -8109}
  • id: 30441027
    {'hecke_orbit_code': 274978570267, 'n': 28, 'trace_an': -12}
  • id: 30441028
    {'hecke_orbit_code': 274978570267, 'n': 29, 'trace_an': -20418}
  • id: 30441029
    {'hecke_orbit_code': 274978570267, 'n': 30, 'trace_an': -6453}
  • id: 30441030
    {'hecke_orbit_code': 274978570267, 'n': 31, 'trace_an': -6657}
  • id: 30441031
    {'hecke_orbit_code': 274978570267, 'n': 32, 'trace_an': 51192}
  • id: 30441032
    {'hecke_orbit_code': 274978570267, 'n': 33, 'trace_an': 50634}
  • id: 30441033
    {'hecke_orbit_code': 274978570267, 'n': 34, 'trace_an': -11394}
  • id: 30441034
    {'hecke_orbit_code': 274978570267, 'n': 35, 'trace_an': 35868}
  • id: 30441035
    {'hecke_orbit_code': 274978570267, 'n': 36, 'trace_an': -3600}
  • id: 30441036
    {'hecke_orbit_code': 274978570267, 'n': 37, 'trace_an': -3}
  • id: 30441037
    {'hecke_orbit_code': 274978570267, 'n': 38, 'trace_an': -44076}
  • id: 30441038
    {'hecke_orbit_code': 274978570267, 'n': 39, 'trace_an': -13971}
  • id: 30441039
    {'hecke_orbit_code': 274978570267, 'n': 40, 'trace_an': 12441}
  • id: 30441040
    {'hecke_orbit_code': 274978570267, 'n': 41, 'trace_an': -79077}
  • id: 30441041
    {'hecke_orbit_code': 274978570267, 'n': 42, 'trace_an': -64422}
  • id: 30441042
    {'hecke_orbit_code': 274978570267, 'n': 43, 'trace_an': -9465}
  • id: 30441043
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  • id: 30441048
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  • id: 30441050
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  • id: 30441051
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  • id: 30441053
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  • id: 30441057
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  • id: 30441058
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  • id: 30441059
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  • id: 30441063
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  • id: 30441065
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  • id: 30441066
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  • id: 30441068
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  • id: 30441069
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  • id: 30441070
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  • id: 30441080
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  • id: 30441090
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  • id: 30441091
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  • id: 30441100
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  • id: 30441103
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  • id: 30441104
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  • id: 30441110
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  • id: 30441111
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  • id: 30441112
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  • id: 30441113
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  • id: 30441115
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  • id: 30441116
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  • id: 30441117
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  • id: 30441118
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  • id: 30441119
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  • id: 30441120
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  • id: 30441121
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  • id: 30441123
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  • id: 30441124
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  • id: 30441125
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  • id: 30441126
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  • id: 30441127
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  • id: 30441128
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  • id: 30441129
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  • id: 30441130
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  • id: 30441131
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  • id: 30441132
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  • id: 30441133
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  • id: 30441134
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  • id: 30441135
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  • id: 30441136
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  • id: 30441137
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  • id: 30441138
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  • id: 30441139
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  • id: 30441140
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  • id: 30441141
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  • id: 30441142
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  • id: 30441143
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  • id: 30441144
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  • id: 30441145
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  • id: 30441146
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  • id: 30441147
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  • id: 30441148
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  • id: 30441149
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  • id: 30441150
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  • id: 30441151
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  • id: 30441152
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  • id: 30441153
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  • id: 30441154
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  • id: 30441155
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  • id: 30441156
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  • id: 30441157
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  • id: 30441158
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  • id: 30441159
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  • id: 30441160
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  • id: 30441161
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  • id: 30441162
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  • id: 30441163
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  • id: 30441164
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  • id: 30441165
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  • id: 30441166
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  • id: 30441167
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  • id: 30441168
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  • id: 30441169
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  • id: 30441170
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  • id: 30441171
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  • id: 30441172
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  • id: 30441173
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  • id: 30441174
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  • id: 30441175
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  • id: 30441176
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  • id: 30441177
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  • id: 30441178
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  • id: 30441179
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  • id: 30441180
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  • id: 30441181
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  • id: 30441185
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  • id: 30441186
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  • id: 30441187
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  • id: 30441188
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  • id: 30441190
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  • id: 30441199
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  • id: 30441200
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  • id: 30441227
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  • id: 30441241
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  • id: 30441338
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  • id: 30441340
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  • id: 30441342
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  • id: 30441344
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  • id: 30441345
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  • id: 30441346
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  • id: 30441347
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  • id: 30441348
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  • id: 30441371
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  • id: 30441827
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  • id: 30441900
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  • id: 30441910
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  • id: 30441911
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  • id: 30441912
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  • id: 30441914
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  • id: 30441915
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  • id: 30441916
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  • id: 30441917
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  • id: 30441918
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  • id: 30441919
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  • id: 30441920
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  • id: 30441921
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  • id: 30441922
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  • id: 30441923
    {'hecke_orbit_code': 274978570267, 'n': 924, 'trace_an': -18782658}
  • id: 30441924
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  • id: 30441926
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  • id: 30441927
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  • id: 30441928
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  • id: 30441929
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  • id: 30441930
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  • id: 30441931
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  • id: 30441932
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  • id: 30441933
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  • id: 30441934
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  • id: 30441935
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  • id: 30441936
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  • id: 30441937
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  • id: 30441938
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  • id: 30441939
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  • id: 30441940
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  • id: 30441941
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  • id: 30441942
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  • id: 30441944
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  • id: 30441945
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  • id: 30441946
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  • id: 30441947
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  • id: 30441948
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  • id: 30441950
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  • id: 30441951
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  • id: 30441952
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  • id: 30441954
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  • id: 30441958
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  • id: 30441959
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  • id: 30441960
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  • id: 30441970
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  • id: 30441971
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  • id: 30441973
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  • id: 30441991
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  • id: 30441993
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  • id: 30441997
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  • id: 30441998
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  • id: 30441999
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