Embedded newform data - 150.10.a.g.1.1

Formats: - HTML - YAML - JSON - 2024-05-14T23:29:26.111526

• 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': 15000, 'analytic_conductor': 77.25537542458098, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1], [5, -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': [150, 1, [101, 127], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [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': [[7, [-3269, 1]]], 'hecke_orbit': 7, 'hecke_orbit_code': 27021597931995286, 'hecke_ring_generator_nbound': 1, '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_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '150.10.a.g', 'level': 150, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '150.10.a.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{4}q^{2}-3^{4}q^{3}+2^{8}q^{4}-6^{4}q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '150.10.a', 'trace_display': [16, -81, 0, 3269], 'trace_hash': 1547076943578470570, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.023', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.049', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.108', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 16, -81, 256, 0, -1296, 3269, 4096, 6561, 0, -70470, -20736, 61793, 52304, 0, 65536, 9834, 104976, -309709, 0, -264789, -1127520, -401250, -331776, 0, 988688, -531441, 836864, 4442754, 0, -899467, 1048576, 5708070, 157344, 0, 1679616, -15099982, -4955344, -5005233, 0, 15142944, -4236624, -357511, -18040320, 0, -6420000, -31748190, -5308416, -29667246, 0, -796554, 15819008, 42870276, -8503056, 0, 13389824, 25086429, 71084064, -124820970, 0, -38947945, -14391472, 21447909, 16777216, 0, 91329120, -105967771, 2517504, 32501250, 0, -62841360, 26873856, -466543582, -241599712, 0, -79285504, -230366430, -80083728, -551941792, 0, 43046721, 242287104, -444962202, -67785984, 0, -5720176, -359863074, -288645120, 642049248, 0, 202001317, -102720000, 72856827, -507971040, 0, -84934656, -204187087, -474675936, -462353670, 0, 1065745428, -12744864, -586662676, 253104128, 0, 685924416, -895968588, -136048896, -167910475, 0, 1223098542, 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• mf_hecke_cc •

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

  
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-0.31654150822518234, -0.19315607147698177, -0.2867643628197549, -0.1514620542099504, -0.2063502203460565, -0.2999672950228604, -0.10262372500545468, -0.30410589133343346, -0.3084857579418885, -0.30211236109243256, -0.2191363699708901, -0.2551397468162034, -0.16356354964148648, -0.25693566362029535, -0.3484482518791097, -0.29026133400850557, -0.21702502830730686, -0.13821357376657292, -0.30228796305750744, -0.4030978160875163, -0.3393645954395289, -0.4337540812076434, -0.2589939572165876, -0.3213781363252177, -0.3173885080782536, -0.3579134150898498, -0.18996679389941676], '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': 0.0, 'hecke_orbit': 7, 'hecke_orbit_code': 27021597931995286, 'label': '150.10.a.g.1.1', 'level': 150, 'weight': 10}
• mf_newspaces •

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

  
  {'AL_dims': [[[[2, 1], [3, -1], [5, 1]], 3, 3], [[[2, -1], [3, -1], [5, -1]], 5, 2], [[[2, 1], [3, -1], [5, -1]], 4, 2], [[[2, -1], [3, 1], [5, 1]], 4, 3], [[[2, -1], [3, 1], [5, -1]], 3, 2], [[[2, 1], [3, 1], [5, -1]], 4, 2], [[[2, 1], [3, 1], [5, 1]], 3, 2], [[[2, -1], [3, -1], [5, 1]], 3, 3]], 'ALdims': [3, 4, 3, 4, 4, 3, 3, 5], 'Nk2': 15000, 'analytic_conductor': 77.25537542458098, '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': [150, 1, [101, 127], [1, 1]], 'conrey_index': 1, 'cusp_dim': 258, 'dim': 29, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [7], 'hecke_orbit_code': 167772310, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3], 'label': '150.10.a', 'level': 150, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 282, 'mf_new_dim': 29, 'num_forms': 19, 'plus_dim': 13, 'prim_orbit_index': 1, 'relative_dim': 29, 'sturm_bound': 300, 'trace_bound': 7, 'trace_display': [16, 81, 0, 1948], 'traces': [29, 16, 81, 7424, 0, 1296, 1948, 4096, 190269, 0, -54140, 20736, -21086, 185856, 0, 1900544, -856602, 104976, 1484024, 0, 1306044, -2899968, -293376, 331776, 0, 4701472, 531441, 498688, 6917286, 0, -23655228, 1048576, -42768, -6544544, 0, 48708864, 10831618, -20453440, -15545682, 0, -47635334, -6599232, -3174596, -13859840, 0, 38162560, 41720448, 5308416, 322778601, 0, -17465706, -5398016, 155425914, 8503056, 0, 47579136, -167503140, -218502240, 171052580, 0, 205776130, 167361152, 12780828, 486539264, 0, 196084800, -360359492, -219290112, -43986240, 0, -456200280, 26873856, 214137874, 473200032, 0, 379910144, -117323904, -571440096, -909444568, 0, 1248354909, 804661152, 1496757324, 334347264, 0, 797236416, 1165279770, -742391808, 3329947642, 0, 1951867228, -75104256, -1043585208, -468325120, 0, 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• 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: 45694596
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597931995286, 'source_is_minimal': True, 'source_label': '150.10.a.g.1.1', 'source_level': 150, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597931995286, 'target_is_minimal': True, 'target_label': '150.10.a.g.1.1', 'target_level': 150, 'twist_class_label': '150.10.a.c.1.1', 'twist_class_level': 150, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 45694597
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597931995286, 'source_is_minimal': True, 'source_label': '150.10.a.g.1.1', 'source_level': 150, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 137606725782, 'target_is_minimal': False, 'target_label': '150.10.c.a.49.2', 'target_level': 150, 'twist_class_label': '150.10.a.c.1.1', 'twist_class_level': 150, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 45694598
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597931995286, 'source_is_minimal': True, 'source_label': '150.10.a.g.1.1', 'source_level': 150, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137606725782, 'target_is_minimal': False, 'target_label': '150.10.c.a.49.1', 'target_level': 150, 'twist_class_label': '150.10.a.c.1.1', 'twist_class_level': 150, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 45694599
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597931995286, 'source_is_minimal': True, 'source_label': '150.10.a.g.1.1', 'source_level': 150, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199422513302, 'target_is_minimal': True, 'target_label': '150.10.a.c.1.1', 'target_level': 150, 'twist_class_label': '150.10.a.c.1.1', 'twist_class_level': 150, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 400825
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 2}
  • id: 400826
    {'charpoly_factorization': [[[81, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 3}
  • id: 400827
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 5}
  • id: 400828
    {'charpoly_factorization': [[[-3269, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 7}
  • id: 400829
    {'charpoly_factorization': [[[70470, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 11}
  • id: 400830
    {'charpoly_factorization': [[[-61793, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 13}
  • id: 400831
    {'charpoly_factorization': [[[-9834, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 17}
  • id: 400832
    {'charpoly_factorization': [[[309709, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 19}
  • id: 400833
    {'charpoly_factorization': [[[401250, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 23}
  • id: 400834
    {'charpoly_factorization': [[[-4442754, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 29}
  • id: 400835
    {'charpoly_factorization': [[[899467, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 31}
  • id: 400836
    {'charpoly_factorization': [[[15099982, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 37}
  • id: 400837
    {'charpoly_factorization': [[[-15142944, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 41}
  • id: 400838
    {'charpoly_factorization': [[[357511, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 43}
  • id: 400839
    {'charpoly_factorization': [[[31748190, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 47}
  • id: 400840
    {'charpoly_factorization': [[[-42870276, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 53}
  • id: 400841
    {'charpoly_factorization': [[[124820970, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 59}
  • id: 400842
    {'charpoly_factorization': [[[38947945, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 61}
  • id: 400843
    {'charpoly_factorization': [[[105967771, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 67}
  • id: 400844
    {'charpoly_factorization': [[[62841360, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 71}
  • id: 400845
    {'charpoly_factorization': [[[466543582, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 73}
  • id: 400846
    {'charpoly_factorization': [[[551941792, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 79}
  • id: 400847
    {'charpoly_factorization': [[[444962202, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 83}
  • id: 400848
    {'charpoly_factorization': [[[-642049248, 1], 1]], 'hecke_orbit_code': 27021597931995286, 'p': 89}
  • id: 400849
    {'charpoly_factorization': [[[204187087, 1], 1]], 'hecke_orbit_code': 27021597931995286, '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': 7, 'label': '150.10.a.g', 'level': 150, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 182014000
    {'hecke_orbit_code': 27021597931995286, 'n': 1, 'trace_an': 1}
  • id: 182014001
    {'hecke_orbit_code': 27021597931995286, 'n': 2, 'trace_an': 16}
  • id: 182014002
    {'hecke_orbit_code': 27021597931995286, 'n': 3, 'trace_an': -81}
  • id: 182014003
    {'hecke_orbit_code': 27021597931995286, 'n': 4, 'trace_an': 256}
  • id: 182014004
    {'hecke_orbit_code': 27021597931995286, 'n': 5, 'trace_an': 0}
  • id: 182014005
    {'hecke_orbit_code': 27021597931995286, 'n': 6, 'trace_an': -1296}
  • id: 182014006
    {'hecke_orbit_code': 27021597931995286, 'n': 7, 'trace_an': 3269}
  • id: 182014007
    {'hecke_orbit_code': 27021597931995286, 'n': 8, 'trace_an': 4096}
  • id: 182014008
    {'hecke_orbit_code': 27021597931995286, 'n': 9, 'trace_an': 6561}
  • id: 182014009
    {'hecke_orbit_code': 27021597931995286, 'n': 10, 'trace_an': 0}
  • id: 182014010
    {'hecke_orbit_code': 27021597931995286, 'n': 11, 'trace_an': -70470}
  • id: 182014011
    {'hecke_orbit_code': 27021597931995286, 'n': 12, 'trace_an': -20736}
  • id: 182014012
    {'hecke_orbit_code': 27021597931995286, 'n': 13, 'trace_an': 61793}
  • id: 182014013
    {'hecke_orbit_code': 27021597931995286, 'n': 14, 'trace_an': 52304}
  • id: 182014014
    {'hecke_orbit_code': 27021597931995286, 'n': 15, 'trace_an': 0}
  • id: 182014015
    {'hecke_orbit_code': 27021597931995286, 'n': 16, 'trace_an': 65536}
  • id: 182014016
    {'hecke_orbit_code': 27021597931995286, 'n': 17, 'trace_an': 9834}
  • id: 182014017
    {'hecke_orbit_code': 27021597931995286, 'n': 18, 'trace_an': 104976}
  • id: 182014018
    {'hecke_orbit_code': 27021597931995286, 'n': 19, 'trace_an': -309709}
  • id: 182014019
    {'hecke_orbit_code': 27021597931995286, 'n': 20, 'trace_an': 0}
  • id: 182014020
    {'hecke_orbit_code': 27021597931995286, 'n': 21, 'trace_an': -264789}
  • id: 182014021
    {'hecke_orbit_code': 27021597931995286, 'n': 22, 'trace_an': -1127520}
  • id: 182014022
    {'hecke_orbit_code': 27021597931995286, 'n': 23, 'trace_an': -401250}
  • id: 182014023
    {'hecke_orbit_code': 27021597931995286, 'n': 24, 'trace_an': -331776}
  • id: 182014024
    {'hecke_orbit_code': 27021597931995286, 'n': 25, 'trace_an': 0}
  • id: 182014025
    {'hecke_orbit_code': 27021597931995286, 'n': 26, 'trace_an': 988688}
  • id: 182014026
    {'hecke_orbit_code': 27021597931995286, 'n': 27, 'trace_an': -531441}
  • id: 182014027
    {'hecke_orbit_code': 27021597931995286, 'n': 28, 'trace_an': 836864}
  • id: 182014028
    {'hecke_orbit_code': 27021597931995286, 'n': 29, 'trace_an': 4442754}
  • id: 182014029
    {'hecke_orbit_code': 27021597931995286, 'n': 30, 'trace_an': 0}
  • id: 182014030
    {'hecke_orbit_code': 27021597931995286, 'n': 31, 'trace_an': -899467}
  • id: 182014031
    {'hecke_orbit_code': 27021597931995286, 'n': 32, 'trace_an': 1048576}
  • id: 182014032
    {'hecke_orbit_code': 27021597931995286, 'n': 33, 'trace_an': 5708070}
  • id: 182014033
    {'hecke_orbit_code': 27021597931995286, 'n': 34, 'trace_an': 157344}
  • id: 182014034
    {'hecke_orbit_code': 27021597931995286, 'n': 35, 'trace_an': 0}
  • id: 182014035
    {'hecke_orbit_code': 27021597931995286, 'n': 36, 'trace_an': 1679616}
  • id: 182014036
    {'hecke_orbit_code': 27021597931995286, 'n': 37, 'trace_an': -15099982}
  • id: 182014037
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  • id: 182014972
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  • id: 182014977
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  • id: 182014983
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  • id: 182014984
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  • id: 182014985
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  • id: 182014986
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  • id: 182014988
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  • id: 182014989
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  • id: 182014990
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  • id: 182014991
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  • id: 182014992
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  • id: 182014993
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  • id: 182014994
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  • id: 182014995
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  • id: 182014996
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  • id: 182014997
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  • id: 182014998
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  • id: 182014999
    {'hecke_orbit_code': 27021597931995286, 'n': 1000, 'trace_an': 0}