Embedded newform data - 33.14.a.a.1.1

Formats: - HTML - YAML - JSON - 2023-09-29T13:43:04.452634

• 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': 6468, 'analytic_conductor': 35.38620655413119, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [11, 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': [33, 1, [23, 13], [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': [[2, [-140, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 234881057, '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': '33.14.a.a', 'level': 33, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 11], 'level_radical': 33, 'minimal_twist': '33.14.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+140q^{2}+3^{6}q^{3}+11408q^{4}+48740q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '13.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '33.14.a', 'trace_display': [140, 729, 48740, 487486], 'trace_hash': 1413168950634057792, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.040', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.986', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.145', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.953', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.442', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.798', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 140, 729, 11408, 48740, 102060, 487486, 450240, 531441, 6823600, -1771561, 8316432, -18388304, 68248040, 35531460, -30420736, -96233254, 74401740, -14954652, 556025920, 355377294, -248018540, 153804394, 328224960, 1154884475, -2574362560, 387420489, 5561240288, 5219010534, 4974404400, 1183811728, -7947269120, -1291467969, -13472655560, 23760067640, 6062678928, -17672200362, -2093651280, -13405073616, 21944697600, -19461739306, 49752821160, -3412304904, -20209967888, 25902434340, 21532615160, -100327719050, -22176716544, 140753589789, 161683826500, -70154042166, -209773772032, 275469097716, 54238868460, -86345883140, 219485696640, -10901941308, 730661474760, -267676863080, 405342895680, 563486626260, 165733641920, 259070047326, -863411007488, -896245936960, -180805515660, 1080842815700, -1097828961632, 112123403226, 3326409469600, -1150562265222, 239275995840, -345914515454, -2474108050680, 841910782275, -170602670016, -863611185646, 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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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-0.3457883630632152, -0.3018298995155209, -0.25655263091068364, -0.36875425350697816, -0.08720999395573377, -0.317774936974456, -0.12655153970196947, -0.11978996821979629, -0.339461634423914, -0.2713532529032109, -0.3267530497472728, -0.3446231559305775, -0.3539072651368936, -0.3153579750389459, -0.05614309685139716, -0.192954152452662, -0.0913320451990223, -0.26209502549537245, -0.4115721766627169, -0.3809598963441135, -0.3260442252754985, -0.1071013235632341, -0.14562664334120326, -0.2675552949912625, -0.27670749637315273, -0.35581976800618464, -0.20128238688610142, -0.11612224283447588, -0.14918620892119167, -0.15613168861517887, -0.1838389837829709, -0.21632844707307103, -0.17814100597508628, -0.31589247814279536, -0.40520912501913897, -0.379324963821589, -0.12205729250778403, -0.11606562377342493, -0.3699173404137734, -0.31239595585638114, -0.2586204272629252, -0.0841953438173353, -0.3003179496330003, -0.20790375451676085, -0.27501731646898686, -0.257531567156575, 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-0.25750676433684105, -0.24689373699487638, -0.3099834927029247, -0.35163308263975324, -0.30590583048800246, -0.34640780869564697, -0.1444674668536466, -0.15007805774348712, -0.24745156053472053, -0.2054046309940556, -0.21851992165711884, -0.3111163945351978, -0.3426486959589281, -0.2318603721244331, -0.3947274341669416, -0.39674346931029986, -0.32362788315687524, -0.19828124522500318, -0.15029022391778507], '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': 1, 'hecke_orbit_code': 234881057, 'label': '33.14.a.a.1.1', 'level': 33, 'weight': 14}
• 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': [[[[3, -1], [11, -1]], 4, 1], [[[3, -1], [11, 1]], 5, 2], [[[3, 1], [11, 1]], 5, 1], [[[3, 1], [11, -1]], 6, 1]], 'ALdims': [5, 6, 5, 4], 'Nk2': 6468, 'analytic_conductor': 35.38620655413119, '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': [33, 1, [23, 13], [1, 1]], 'conrey_index': 1, 'cusp_dim': 50, 'dim': 20, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 234881057, 'hecke_orbit_dims': [1, 4, 4, 5, 6], 'label': '33.14.a', 'level': 33, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 11], 'level_radical': 33, 'mf_dim': 54, 'mf_new_dim': 20, 'num_forms': 5, 'plus_dim': 9, 'prim_orbit_index': 1, 'relative_dim': 20, 'sturm_bound': 56, 'trace_bound': 2, 'trace_display': [128, -1458, -83728, 215484], 'traces': [20, 128, -1458, 82284, -83728, 154548, 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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: 456911
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 234881057, 'source_is_minimal': True, 'source_label': '33.14.a.a.1.1', 'source_level': 33, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 234881057, 'target_is_minimal': True, 'target_label': '33.14.a.a.1.1', 'target_level': 33, 'twist_class_label': '33.14.a.a.1.1', 'twist_class_level': 33, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 14}
  • id: 456912
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 234881057, 'source_is_minimal': True, 'source_label': '33.14.a.a.1.1', 'source_level': 33, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 234881123, 'target_is_minimal': False, 'target_label': '99.14.a.a.1.1', 'target_level': 99, 'twist_class_label': '33.14.a.a.1.1', 'twist_class_level': 33, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 14}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 120700
    {'charpoly_factorization': [[[-140, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 2}
  • id: 120701
    {'charpoly_factorization': [[[-729, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 3}
  • id: 120702
    {'charpoly_factorization': [[[-48740, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 5}
  • id: 120703
    {'charpoly_factorization': [[[-487486, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 7}
  • id: 120704
    {'charpoly_factorization': [[[1771561, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 11}
  • id: 120705
    {'charpoly_factorization': [[[18388304, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 13}
  • id: 120706
    {'charpoly_factorization': [[[96233254, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 17}
  • id: 120707
    {'charpoly_factorization': [[[14954652, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 19}
  • id: 120708
    {'charpoly_factorization': [[[-153804394, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 23}
  • id: 120709
    {'charpoly_factorization': [[[-5219010534, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 29}
  • id: 120710
    {'charpoly_factorization': [[[-1183811728, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 31}
  • id: 120711
    {'charpoly_factorization': [[[17672200362, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 37}
  • id: 120712
    {'charpoly_factorization': [[[19461739306, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 41}
  • id: 120713
    {'charpoly_factorization': [[[3412304904, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 43}
  • id: 120714
    {'charpoly_factorization': [[[100327719050, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 47}
  • id: 120715
    {'charpoly_factorization': [[[-275469097716, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 53}
  • id: 120716
    {'charpoly_factorization': [[[267676863080, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 59}
  • id: 120717
    {'charpoly_factorization': [[[-563486626260, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 61}
  • id: 120718
    {'charpoly_factorization': [[[-1080842815700, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 67}
  • id: 120719
    {'charpoly_factorization': [[[1150562265222, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 71}
  • id: 120720
    {'charpoly_factorization': [[[345914515454, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 73}
  • id: 120721
    {'charpoly_factorization': [[[2004080959294, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 79}
  • id: 120722
    {'charpoly_factorization': [[[3336732240564, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 83}
  • id: 120723
    {'charpoly_factorization': [[[5696238036294, 1], 1]], 'hecke_orbit_code': 234881057, 'p': 89}
  • id: 120724
    {'charpoly_factorization': [[[6550114593202, 1], 1]], 'hecke_orbit_code': 234881057, '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': 1, 'label': '33.14.a.a', 'level': 33, 'portrait': 'data:image/png;base64,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', 'weight': 14}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 14915000
    {'hecke_orbit_code': 234881057, 'n': 1, 'trace_an': 1}
  • id: 14915001
    {'hecke_orbit_code': 234881057, 'n': 2, 'trace_an': 140}
  • id: 14915002
    {'hecke_orbit_code': 234881057, 'n': 3, 'trace_an': 729}
  • id: 14915003
    {'hecke_orbit_code': 234881057, 'n': 4, 'trace_an': 11408}
  • id: 14915004
    {'hecke_orbit_code': 234881057, 'n': 5, 'trace_an': 48740}
  • id: 14915005
    {'hecke_orbit_code': 234881057, 'n': 6, 'trace_an': 102060}
  • id: 14915006
    {'hecke_orbit_code': 234881057, 'n': 7, 'trace_an': 487486}
  • id: 14915007
    {'hecke_orbit_code': 234881057, 'n': 8, 'trace_an': 450240}
  • id: 14915008
    {'hecke_orbit_code': 234881057, 'n': 9, 'trace_an': 531441}
  • id: 14915009
    {'hecke_orbit_code': 234881057, 'n': 10, 'trace_an': 6823600}
  • id: 14915010
    {'hecke_orbit_code': 234881057, 'n': 11, 'trace_an': -1771561}
  • id: 14915011
    {'hecke_orbit_code': 234881057, 'n': 12, 'trace_an': 8316432}
  • id: 14915012
    {'hecke_orbit_code': 234881057, 'n': 13, 'trace_an': -18388304}
  • id: 14915013
    {'hecke_orbit_code': 234881057, 'n': 14, 'trace_an': 68248040}
  • id: 14915014
    {'hecke_orbit_code': 234881057, 'n': 15, 'trace_an': 35531460}
  • id: 14915015
    {'hecke_orbit_code': 234881057, 'n': 16, 'trace_an': -30420736}
  • id: 14915016
    {'hecke_orbit_code': 234881057, 'n': 17, 'trace_an': -96233254}
  • id: 14915017
    {'hecke_orbit_code': 234881057, 'n': 18, 'trace_an': 74401740}
  • id: 14915018
    {'hecke_orbit_code': 234881057, 'n': 19, 'trace_an': -14954652}
  • id: 14915019
    {'hecke_orbit_code': 234881057, 'n': 20, 'trace_an': 556025920}
  • id: 14915020
    {'hecke_orbit_code': 234881057, 'n': 21, 'trace_an': 355377294}
  • id: 14915021
    {'hecke_orbit_code': 234881057, 'n': 22, 'trace_an': -248018540}
  • id: 14915022
    {'hecke_orbit_code': 234881057, 'n': 23, 'trace_an': 153804394}
  • id: 14915023
    {'hecke_orbit_code': 234881057, 'n': 24, 'trace_an': 328224960}
  • id: 14915024
    {'hecke_orbit_code': 234881057, 'n': 25, 'trace_an': 1154884475}
  • id: 14915025
    {'hecke_orbit_code': 234881057, 'n': 26, 'trace_an': -2574362560}
  • id: 14915026
    {'hecke_orbit_code': 234881057, 'n': 27, 'trace_an': 387420489}
  • id: 14915027
    {'hecke_orbit_code': 234881057, 'n': 28, 'trace_an': 5561240288}
  • id: 14915028
    {'hecke_orbit_code': 234881057, 'n': 29, 'trace_an': 5219010534}
  • id: 14915029
    {'hecke_orbit_code': 234881057, 'n': 30, 'trace_an': 4974404400}
  • id: 14915030
    {'hecke_orbit_code': 234881057, 'n': 31, 'trace_an': 1183811728}
  • id: 14915031
    {'hecke_orbit_code': 234881057, 'n': 32, 'trace_an': -7947269120}
  • id: 14915032
    {'hecke_orbit_code': 234881057, 'n': 33, 'trace_an': -1291467969}
  • id: 14915033
    {'hecke_orbit_code': 234881057, 'n': 34, 'trace_an': -13472655560}
  • id: 14915034
    {'hecke_orbit_code': 234881057, 'n': 35, 'trace_an': 23760067640}
  • id: 14915035
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  • id: 14915956
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  • id: 14915957
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  • id: 14915958
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  • id: 14915959
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  • id: 14915960
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  • id: 14915961
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  • id: 14915962
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  • id: 14915963
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  • id: 14915964
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  • id: 14915965
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  • id: 14915966
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  • id: 14915967
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  • id: 14915968
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  • id: 14915969
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  • id: 14915970
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  • id: 14915971
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  • id: 14915972
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  • id: 14915973
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  • id: 14915974
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  • id: 14915975
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  • id: 14915976
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  • id: 14915977
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  • id: 14915978
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  • id: 14915979
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  • id: 14915980
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  • id: 14915981
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  • id: 14915982
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  • id: 14915983
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  • id: 14915984
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  • id: 14915985
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  • id: 14915986
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  • id: 14915987
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  • id: 14915988
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  • id: 14915989
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  • id: 14915990
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  • id: 14915991
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  • id: 14915992
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  • id: 14915993
    {'hecke_orbit_code': 234881057, 'n': 994, 'trace_an': -78523619499361664880}
  • id: 14915994
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  • id: 14915995
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  • id: 14915996
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  • id: 14915997
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  • id: 14915998
    {'hecke_orbit_code': 234881057, 'n': 999, 'trace_an': -6846572505952017018}
  • id: 14915999
    {'hecke_orbit_code': 234881057, 'n': 1000, 'trace_an': -1444370370690240000}