Newform data - 98.10.a.e

Formats: - HTML - YAML - JSON - 2024-04-23T14:41:35.257907

• 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': 9800, 'analytic_conductor': 50.47351194405957, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [7, -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': [98, 1, [3], [1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 2305, 'field_disc_factorization': [[5, 1], [461, 1]], 'field_poly': [-576, -1, 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': [[3, [-57576, -14, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014398677254242, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], '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': False, 'label': '98.10.a.e', 'level': 98, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '14.10.a.c', 'nf_label': '2.2.2305.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2^{4}q^{2}+(7+5\\beta )q^{3}+2^{8}q^{4}+(1365+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '98.10.a', 'trace_display': [-32, 14, 2730, 0], 'trace_hash': 563774476963027565, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.028', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.953', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.648', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '68.175', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [2, -32, 14, 512, 2730, -224, 0, -8192, 75982, -43680, 44940, 3584, -100282, 0, 503160, 131072, 870408, -1215712, -508774, 698880, 0, -719040, 79800, -57344, 1853210, 1604512, 1869812, 0, 2006328, -8050560, -2188732, -2097152, -23887920, -13926528, 0, 19451392, -20723576, 8140384, -5888224, -11182080, -19016592, 0, 4193716, 11504640, 110492130, -1276800, 74542524, 917504, 0, -29651360, -30556644, -25672192, -3239748, -29916992, -40307400, 0, 306576332, -32101248, 133642362, 128808960, -227801686, 35019712, 0, 33554432, -158667180, 382206720, 332930272, 222824448, -164018400, 0, -167985720, -311222272, 44684276, 331577216, 1334428970, -130246144, 0, 94211584, 269642776, 178913280, 638826478, 304265472, 183105762, 0, 1034179020, -67099456, 2768288796, -184074240, -791657748, -1767874080, 0, 20428800, -921877624, -1192680384, 608102040, -14680064, 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• 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

  
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-54858344113980], [-1890605521782768, 32084832281670], [1196784167698350, 28066804136910], [4729781602368344, -38286231206580], [775872416024138, -65232545424480], [-369853268005557, 1638696930135], [-1461377482734924, 48863660070540], [1857041313963766, 85298191000290], [-4038911070049044, 38869265458530], [-1816737314348460, -52833975312300], [-4919828679119352, -34790543581290], [4072087030219369, -45397286276895], [-1875888054521976, -85131004952280], [2225078286546759, -41190382512435], [-5634691116263048, -17736519483810], [692600107383681, 37241386594785], [-1045766917025706, -94717610025570], [4366629538001586, -46406645795160], [5112629863236007, 51925239303885], [358651112524194, -139378182212730]], 'char_orbit_index': 1, 'field_poly': [-576, -1, 1], 'hecke_orbit_code': 18014398677254242, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 2], 'hecke_ring_inverse_numerators': [[1, 0], [1, 1]], 'hecke_ring_numerators': [[1, 0], [-1, 2]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '98.10.a.e', 'level': 98, 'maxp': 2999, '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], [7, -1]], 7, 4], [[[2, 1], [7, -1]], 8, 4], [[[2, 1], [7, 1]], 7, 2], [[[2, -1], [7, 1]], 9, 2]], 'ALdims': [7, 8, 9, 7], 'Nk2': 9800, 'analytic_conductor': 50.47351194405957, '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': [98, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 118, 'dim': 31, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 167772258, 'hecke_orbit_dims': [1, 1, 1, 2, 2, 2, 3, 3, 3, 3, 4, 6], 'label': '98.10.a', 'level': 98, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 134, 'mf_new_dim': 31, 'num_forms': 12, 'plus_dim': 14, 'prim_orbit_index': 1, 'relative_dim': 31, 'sturm_bound': 140, 'trace_bound': 3, 'trace_display': [16, 6, 756, 0], 'traces': [31, 16, 6, 7936, 756, -544, 0, 4096, 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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: 86157
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '98.10.a.e', 'source_level': 98, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '14.10.a.c', 'target_level': 14, 'twist_class_label': '14.10.a.c', 'twist_class_level': 14, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 10}
  • id: 86158
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '98.10.a.e', 'source_level': 98, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '98.10.a.e', 'target_level': 98, 'twist_class_label': '14.10.a.c', 'twist_class_level': 14, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 10}
  • id: 86159
    {'conductor': 7, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '98.10.a.e', 'source_level': 98, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '98.10.c.h', 'target_level': 98, 'twist_class_label': '14.10.a.c', 'twist_class_level': 14, 'twisting_char_label': '7.c', 'twisting_char_orbit': 3, 'weight': 10}
  • id: 86160
    {'conductor': 7, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '98.10.a.e', 'source_level': 98, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '98.10.c.j', 'target_level': 98, 'twist_class_label': '14.10.a.c', 'twist_class_level': 14, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 10}
  • id: 86161
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '98.10.a.e', 'source_level': 98, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '112.10.a.c', 'target_level': 112, 'twist_class_label': '14.10.a.c', 'twist_class_level': 14, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 10}
  • id: 86162
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '98.10.a.e', 'source_level': 98, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '126.10.a.o', 'target_level': 126, 'twist_class_label': '14.10.a.c', 'twist_class_level': 14, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 10}
  • id: 86163
    {'conductor': 35, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '98.10.a.e', 'source_level': 98, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '350.10.a.j', 'target_level': 350, 'twist_class_label': '14.10.a.c', 'twist_class_level': 14, 'twisting_char_label': '35.c', 'twisting_char_orbit': 3, 'weight': 10}
  • id: 86164
    {'conductor': 35, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '98.10.a.e', 'source_level': 98, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '350.10.c.j', 'target_level': 350, 'twist_class_label': '14.10.a.c', 'twist_class_level': 14, 'twisting_char_label': '35.f', 'twisting_char_orbit': 6, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 290650
    {'charpoly_factorization': [[[16, 1], 2]], 'hecke_orbit_code': 18014398677254242, 'p': 2}
  • id: 290651
    {'charpoly_factorization': [[[-57576, -14, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 3}
  • id: 290652
    {'charpoly_factorization': [[[846720, -2730, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 5}
  • id: 290653
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014398677254242, 'p': 7}
  • id: 290654
    {'charpoly_factorization': [[[-2036361600, -44940, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 11}
  • id: 290655
    {'charpoly_factorization': [[[2397429256, 100282, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 13}
  • id: 290656
    {'charpoly_factorization': [[[183575251116, -870408, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 17}
  • id: 290657
    {'charpoly_factorization': [[[-352577596856, 508774, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 19}
  • id: 290658
    {'charpoly_factorization': [[[-115915968000, -79800, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 23}
  • id: 290659
    {'charpoly_factorization': [[[-31904129519604, -2006328, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 29}
  • id: 290660
    {'charpoly_factorization': [[[-2367849772544, 2188732, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 31}
  • id: 290661
    {'charpoly_factorization': [[[60225113026444, 20723576, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 37}
  • id: 290662
    {'charpoly_factorization': [[[-527816477266884, 19016592, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 41}
  • id: 290663
    {'charpoly_factorization': [[[-271341247682336, -4193716, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 43}
  • id: 290664
    {'charpoly_factorization': [[[1296550084878144, -74542524, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 47}
  • id: 290665
    {'charpoly_factorization': [[[-494746212296124, 3239748, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 53}
  • id: 290666
    {'charpoly_factorization': [[[1575046316366136, -133642362, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 59}
  • id: 290667
    {'charpoly_factorization': [[[11243934945943024, 227801686, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 61}
  • id: 290668
    {'charpoly_factorization': [[[21401918313456496, -332930272, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 67}
  • id: 290669
    {'charpoly_factorization': [[[-85127259938918400, 167985720, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 71}
  • id: 290670
    {'charpoly_factorization': [[[-83678371011966956, -44684276, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 73}
  • id: 290671
    {'charpoly_factorization': [[[6880003984764544, -269642776, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 79}
  • id: 290672
    {'charpoly_factorization': [[[-76697718543013464, -183105762, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 83}
  • id: 290673
    {'charpoly_factorization': [[[50565747709419876, 791657748, 1], 1]], 'hecke_orbit_code': 18014398677254242, 'p': 89}
  • id: 290674
    {'charpoly_factorization': [[[-451110491471642900, -4169480, 1], 1]], 'hecke_orbit_code': 18014398677254242, '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': 5, 'label': '98.10.a.e', 'level': 98, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 156111000
    {'hecke_orbit_code': 18014398677254242, 'n': 1, 'trace_an': 2}
  • id: 156111001
    {'hecke_orbit_code': 18014398677254242, 'n': 2, 'trace_an': -32}
  • id: 156111002
    {'hecke_orbit_code': 18014398677254242, 'n': 3, 'trace_an': 14}
  • id: 156111003
    {'hecke_orbit_code': 18014398677254242, 'n': 4, 'trace_an': 512}
  • id: 156111004
    {'hecke_orbit_code': 18014398677254242, 'n': 5, 'trace_an': 2730}
  • id: 156111005
    {'hecke_orbit_code': 18014398677254242, 'n': 6, 'trace_an': -224}
  • id: 156111006
    {'hecke_orbit_code': 18014398677254242, 'n': 7, 'trace_an': 0}
  • id: 156111007
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  • id: 156111008
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  • id: 156111009
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  • id: 156111010
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  • id: 156111011
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  • id: 156111012
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  • id: 156111013
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  • id: 156111014
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  • id: 156111015
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  • id: 156111016
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  • id: 156111017
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  • id: 156111018
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  • id: 156111019
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  • id: 156111020
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  • id: 156111021
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  • id: 156111022
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  • id: 156111023
    {'hecke_orbit_code': 18014398677254242, 'n': 24, 'trace_an': -57344}
  • id: 156111024
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  • id: 156111025
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  • id: 156111026
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  • id: 156111027
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  • id: 156111028
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  • id: 156111029
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  • id: 156111030
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  • id: 156111031
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  • id: 156111032
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  • id: 156111033
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  • id: 156111034
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  • id: 156111035
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  • id: 156111036
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  • id: 156111037
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  • id: 156111038
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  • id: 156111039
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  • id: 156111040
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  • id: 156111041
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  • id: 156111042
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  • id: 156111043
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  • id: 156111044
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  • id: 156111045
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  • id: 156111046
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  • id: 156111047
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  • id: 156111048
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  • id: 156111049
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  • id: 156111050
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  • id: 156111051
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  • id: 156111052
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  • id: 156111053
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  • id: 156111054
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  • id: 156111056
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  • id: 156111058
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  • id: 156111059
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  • id: 156111060
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  • id: 156111063
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  • id: 156111064
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  • id: 156111065
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  • id: 156111066
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  • id: 156111067
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  • id: 156111068
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  • id: 156111070
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  • id: 156111071
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  • id: 156111072
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  • id: 156111073
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  • id: 156111074
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  • id: 156111076
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  • id: 156111077
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  • id: 156111078
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  • id: 156111079
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  • id: 156111080
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  • id: 156111081
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  • id: 156111082
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  • id: 156111084
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  • id: 156111085
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  • id: 156111086
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  • id: 156111087
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  • id: 156111090
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  • id: 156111091
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  • id: 156111092
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  • id: 156111093
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  • id: 156111094
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  • id: 156111095
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  • id: 156111096
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  • id: 156111097
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  • id: 156111098
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  • id: 156111099
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  • id: 156111100
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  • id: 156111101
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  • id: 156111102
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  • id: 156111103
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  • id: 156111104
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  • id: 156111105
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  • id: 156111106
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  • id: 156111107
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  • id: 156111108
    {'hecke_orbit_code': 18014398677254242, 'n': 109, 'trace_an': 272767504}
  • id: 156111109
    {'hecke_orbit_code': 18014398677254242, 'n': 110, 'trace_an': 644918400}
  • id: 156111110
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  • id: 156111111
    {'hecke_orbit_code': 18014398677254242, 'n': 112, 'trace_an': 0}
  • id: 156111112
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  • id: 156111113
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  • id: 156111114
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  • id: 156111115
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  • id: 156111116
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  • id: 156111117
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  • id: 156111118
    {'hecke_orbit_code': 18014398677254242, 'n': 119, 'trace_an': 0}
  • id: 156111119
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  • id: 156111120
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  • id: 156111121
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  • id: 156111122
    {'hecke_orbit_code': 18014398677254242, 'n': 123, 'trace_an': -12070480644}
  • id: 156111123
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  • id: 156111124
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  • id: 156111125
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  • id: 156111126
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  • id: 156111127
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  • id: 156111128
    {'hecke_orbit_code': 18014398677254242, 'n': 129, 'trace_an': -7942947488}
  • id: 156111129
    {'hecke_orbit_code': 18014398677254242, 'n': 130, 'trace_an': 2538674880}
  • id: 156111130
    {'hecke_orbit_code': 18014398677254242, 'n': 131, 'trace_an': -6900590886}
  • id: 156111131
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  • id: 156111132
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  • id: 156111133
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  • id: 156111134
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  • id: 156111135
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  • id: 156111136
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  • id: 156111137
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  • id: 156111138
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  • id: 156111139
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  • id: 156111140
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  • id: 156111141
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  • id: 156111142
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  • id: 156111143
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  • id: 156111144
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  • id: 156111145
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  • id: 156111146
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  • id: 156111147
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  • id: 156111148
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  • id: 156111149
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  • id: 156111150
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  • id: 156111151
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  • id: 156111152
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  • id: 156111153
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  • id: 156111154
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  • id: 156111155
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  • id: 156111156
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  • id: 156111157
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  • id: 156111158
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  • id: 156111159
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  • id: 156111160
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  • id: 156111161
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  • id: 156111163
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  • id: 156111164
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  • id: 156111165
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  • id: 156111166
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  • id: 156111167
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  • id: 156111168
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  • id: 156111169
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  • id: 156111170
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  • id: 156111171
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  • id: 156111172
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  • id: 156111176
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  • id: 156111177
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  • id: 156111179
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  • id: 156111180
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  • id: 156111181
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  • id: 156111182
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  • id: 156111183
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  • id: 156111184
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  • id: 156111186
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  • id: 156111187
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  • id: 156111188
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  • id: 156111189
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  • id: 156111191
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  • id: 156111192
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  • id: 156111193
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  • id: 156111194
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  • id: 156111195
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  • id: 156111196
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  • id: 156111197
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  • id: 156111198
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  • id: 156111930
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  • id: 156111931
    {'hecke_orbit_code': 18014398677254242, 'n': 932, 'trace_an': 10820496319488}
  • id: 156111932
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  • id: 156111933
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  • id: 156111934
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  • id: 156111935
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  • id: 156111936
    {'hecke_orbit_code': 18014398677254242, 'n': 937, 'trace_an': 1780633531796}
  • id: 156111937
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  • id: 156111938
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  • id: 156111939
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  • id: 156111940
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  • id: 156111941
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  • id: 156111942
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  • id: 156111943
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  • id: 156111944
    {'hecke_orbit_code': 18014398677254242, 'n': 945, 'trace_an': 0}
  • id: 156111945
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  • id: 156111946
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  • id: 156111947
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  • id: 156111948
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  • id: 156111949
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  • id: 156111950
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  • id: 156111951
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  • id: 156111952
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  • id: 156111953
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  • id: 156111954
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  • id: 156111955
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  • id: 156111956
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  • id: 156111957
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  • id: 156111958
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  • id: 156111959
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  • id: 156111960
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  • id: 156111961
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  • id: 156111962
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  • id: 156111963
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  • id: 156111964
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  • id: 156111965
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  • id: 156111966
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  • id: 156111967
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  • id: 156111968
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  • id: 156111969
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  • id: 156111970
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  • id: 156111971
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  • id: 156111972
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  • id: 156111973
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  • id: 156111974
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  • id: 156111975
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  • id: 156111976
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  • id: 156111977
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  • id: 156111978
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  • id: 156111979
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  • id: 156111980
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  • id: 156111981
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  • id: 156111982
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  • id: 156111983
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  • id: 156111984
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  • id: 156111985
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  • id: 156111986
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  • id: 156111987
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  • id: 156111988
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  • id: 156111989
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  • id: 156111990
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  • id: 156111991
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  • id: 156111992
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  • id: 156111993
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  • id: 156111994
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  • id: 156111995
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  • id: 156111996
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  • id: 156111997
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  • id: 156111998
    {'hecke_orbit_code': 18014398677254242, 'n': 999, 'trace_an': 41298583939144}
  • id: 156111999
    {'hecke_orbit_code': 18014398677254242, 'n': 1000, 'trace_an': -11254651699200}