Embedded newform data - 338.10.a.q.1.12

Formats: - HTML - YAML - JSON - 2025-09-26T13:38:38.388861

• mf_newforms •

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

  
  {'Nk2': 33800, 'analytic_conductor': 174.08211262338912, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [13, -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': [338, 1, [171], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 15, 'field_disc': 414657736585902888223710861277713057785084515335832705726823099917693611460442807233, 'field_disc_factorization': [[7, 10], [71, 1], [812582077301, 1], [2853735229588949931107, 1], [8916000992067227625857743147608288545561, 1]], 'field_poly': [-138658441142855576538884248064, -54256006845924411243904364032, -1840146860618814818678953344, 123474200669609970033074304, 542415804353313005652352, -51707718239515932824096, 24277759902481977312, 7115286003316448188, -6615893817054688, -443655654567001, 240902663602, 13427724566, -2075910, -189447, -4, 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, [1310274680834835715019580352611, -77238438430856184646010775747, -7541867704506251569939613673, -18088914189221662920513822, 4301868617297031006504099, 8264627446629022881714, -934605173627437703409, 635625658789689114, 81486844393999779, -164394387195086, -3084731196229, 8028621450, 52107455, -151234, -324, 1]], [5, [-1196515011213662321354149697350220077375000000, 18929388063167576062465112589814171875000000, -106814705609011430253310561152687172500000, 228217355136773082722016031458055750000, 33649772487112424810230661040662500, -735256307339528639081716941305000, 487899372043564370679139257625, 764493635610245440956591325, -572677607530922905887245, -434577199112652168062, 224654930853884954, 128683540484843, -36766321409, -18367571, 2164, 1]]], 'hecke_orbit': 17, 'hecke_orbit_code': 72057594205700434, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 33495563788250443776, 'hecke_ring_index_factorization': [[2, 12], [3, 3], [13, 13]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '338.10.a.q', 'level': 338, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 13], 'level_radical': 26, 'minimal_twist': '338.10.a.q', 'prim_orbit_index': 1, 'qexp_display': 'q-2^{4}q^{2}+(22+\\beta _{1})q^{3}+2^{8}q^{4}+(-145+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 15, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '338.10.a', 'trace_display': [-240, 324, -2164, -4227], 'trace_hash': 1681879245491608175, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.284', 'prec': 17}, {'__RealLiteral__': 0, 'data': '12.561', 'prec': 20}, {'__RealLiteral__': 0, 'data': '10.459', 'prec': 20}, {'__RealLiteral__': 0, 'data': '458.212', 'prec': 24}, {'__RealLiteral__': 0, 'data': '294.290', 'prec': 24}, {'__RealLiteral__': 0, 'data': '28094.375', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [15, -240, 324, 3840, -2164, -5184, -4227, -61440, 112199, 34624, 58782, 82944, 0, 67632, -488672, 983040, 47308, -1795184, -1027864, -553984, 1332838, -940512, -697897, -1327104, 12121163, 0, 11934723, -1082112, 4970557, 7818752, -8962601, -15728640, -3541482, -756928, -5785412, 28722944, -25045552, 16445824, 0, 8863744, -26390985, -21325408, 11355145, 15048192, -221235525, 11166352, -79882208, 21233664, 150275074, -193938608, 118779121, 0, -21678349, -190955568, 290281352, 17313792, 617732541, -79528912, 264523979, 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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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-0.18639225001611595, -0.14392829543733093, -0.2596099132571874, -0.24612171253950285, -0.23385208035729588, -0.4044219328481908, -0.30488119029922633, -0.35693222830058347, -0.15845986126530898, -0.3254283892731273, -0.3358337622369075, -0.32722100236276214, -0.25444946691241, -0.3488284219740948, -0.3412965045344797, -0.2610708633538384, -0.18659045918446623, -0.30198652835274387], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 12, 'dual_embedding_m': 12, 'embedding_index': 12, 'embedding_m': 12, 'embedding_root_imag': 0.0, 'embedding_root_real': 96.29131412825846, 'hecke_orbit': 17, 'hecke_orbit_code': 72057594205700434, 'label': '338.10.a.q.1.12', 'level': 338, 'weight': 10}
• mf_newspaces •

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

  
  {'ALdims': [28, 30, 31, 27], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [7, 7, 7, 7], 'ALdims_old': [68, 71, 69, 71], 'Nk2': 33800, 'analytic_conductor': 174.08211262338912, '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': [338, 1, [171], [1]], 'conrey_index': 1, 'cusp_dim': 395, 'dim': 116, 'eis_dim': 28, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 167772498, 'hecke_orbit_dims': [1, 1, 1, 1, 3, 3, 5, 5, 5, 5, 6, 6, 10, 10, 12, 12, 15, 15], 'label': '338.10.a', 'level': 338, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 13], 'level_radical': 26, 'mf_dim': 423, 'mf_new_dim': 116, 'num_forms': 18, 'plus_dim': 55, 'prim_orbit_index': 1, 'relative_dim': 116, 'sturm_bound': 455, 'trace_bound': 5, 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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: 48052762
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 15, 'source_embedding_index': 12, 'source_hecke_orbit_code': 72057594205700434, 'source_is_minimal': True, 'source_label': '338.10.a.q.1.12', 'source_level': 338, 'target_conrey_index': 1, 'target_dim': 15, 'target_embedding_index': 12, 'target_hecke_orbit_code': 72057594205700434, 'target_is_minimal': True, 'target_label': '338.10.a.q.1.12', 'target_level': 338, 'twist_class_label': '338.10.a.q.1.12', 'twist_class_level': 338, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 48052763
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 15, 'source_embedding_index': 12, 'source_hecke_orbit_code': 72057594205700434, 'source_is_minimal': True, 'source_label': '338.10.a.q.1.12', 'source_level': 338, 'target_conrey_index': 1, 'target_dim': 15, 'target_embedding_index': 12, 'target_hecke_orbit_code': 76561193833070930, 'target_is_minimal': True, 'target_label': '338.10.a.r.1.12', 'target_level': 338, 'twist_class_label': '338.10.a.q.1.12', 'twist_class_level': 338, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 738775
    {'charpoly_factorization': [[[16, 1], 15]], 'hecke_orbit_code': 72057594205700434, 'p': 2}
  • id: 738776
    {'charpoly_factorization': [[[1310274680834835715019580352611, -77238438430856184646010775747, -7541867704506251569939613673, -18088914189221662920513822, 4301868617297031006504099, 8264627446629022881714, -934605173627437703409, 635625658789689114, 81486844393999779, -164394387195086, -3084731196229, 8028621450, 52107455, -151234, -324, 1], 1]], 'hecke_orbit_code': 72057594205700434, 'p': 3}
  • id: 738777
    {'charpoly_factorization': [[[-1196515011213662321354149697350220077375000000, 18929388063167576062465112589814171875000000, -106814705609011430253310561152687172500000, 228217355136773082722016031458055750000, 33649772487112424810230661040662500, -735256307339528639081716941305000, 487899372043564370679139257625, 764493635610245440956591325, -572677607530922905887245, -434577199112652168062, 224654930853884954, 128683540484843, -36766321409, -18367571, 2164, 1], 1]], 'hecke_orbit_code': 72057594205700434, 'p': 5}
  • id: 738778
    {'charpoly_factorization': [[[79595854495582666761259650076517561086812276160882496, -4521198195078378980046923570626048011121107087488, -2470735930853972361201885976229560893855277069840, -5831074345956208190490262474634014651239071648, -3907052393127614011777405186964401812893880, -417746823306957815047472073192302562544, 354716696761392322971204712327688223, 72996308310178048845808844949528, -11847281097226865564428690837, -2923071622219950716108713, 192209207943190432897, 49253562000188854, -1489714985394, -368855825, 4227, 1], 1]], 'hecke_orbit_code': 72057594205700434, 'p': 7}
  • id: 738779
    {'charpoly_factorization': [[[-8715087405999261758512022786404828481565928367352789454673315585209, 25492710067467373535799650592138384095959320468508825491481166745, 1300209081063631474781750571676203612959226958619576741724061, -545199961351572041572200033209503479951127659413300954126, 24252777501228705102517829902087474655785815149560777, 512988819784205280225068542519876206751089301438, -45907952563386036189564394090394899178502947, 164589164019382900370577562272185448598, 29637892034446324357283560080705165, -315834087533974933232349564390, -8599003986999523964877351, 120355942824089152754, 1154695864253017, -18420697162, -58782, 1], 1]], 'hecke_orbit_code': 72057594205700434, 'p': 11}
  • id: 738780
    {'charpoly_factorization': [[[0, 1], 15]], 'hecke_orbit_code': 72057594205700434, 'p': 13}
  • id: 738781
    {'charpoly_factorization': [[[6260629931960748474194656628018553848192650226227863905944595533460456558830089073, -132590828424710157158344983375674306871105821572435989884020276232723980872025, -289994003952063373365097610935403290934284258459920745114640878147251841, 13684371198534295944323488448104243427061219698300069866683075770528, -5978677193508502955944884090194230912821897643851005531535, -553595692452122165853451890299543228507135838007533069138, 92092830780479805540769324188905491982769302323307, 10762358398845607779705582347617660316818331754, 482857341607498122235142441682675384483, -101087017348044166102093971983273712, -11404548798796979230226458361, 480784586432652605722846, 43314809910908821, -1114717406752, -47308, 1], 1]], 'hecke_orbit_code': 72057594205700434, 'p': 17}
  • id: 738782
    {'charpoly_factorization': [[[-3754461100324900632485931727859654480464413703638876575927547768813979112506521117299, 15529798360950414280071261716189534806154388668716054135960294045834350944371163, 242933343489015434753731557410450566221980244256805222091680987556984833657, -656960439268396167195753031643536340147769481831188789767185490863396, -6489125518307777028980458366275757806632870422476829111641674255, 8396476639996108193050787239323072284774505972964700059364, 84561280691334975559181707669502642913903839800299665, -25080265311615687208015263055825846369133309620, -549862383920201725508319675423815478877427, -183489934482659843181963689276314536, 1702054935064424360352887114417, 1178135098366597546939404, -2257444171251109163, -1973880738660, 1027864, 1], 1]], 'hecke_orbit_code': 72057594205700434, 'p': 19}
  • id: 738783
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  • id: 738784
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  • id: 738785
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  • id: 738786
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  • id: 738787
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  • id: 738788
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  • id: 738789
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  • id: 738790
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  • id: 738791
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  • id: 738792
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  • id: 738793
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  • id: 738794
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  • id: 738795
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  • id: 738796
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  • id: 738797
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  • id: 738798
    {'charpoly_factorization': [[[-3192474799996920356838188541306062808334069072751287903247393929561491026503035552826058341493133699406238649240867651886558547, -667306586343031451937618454628658040923274444690155805112458722648108376932551298097064173295059889285894456398302772990, -9127626156437937492267049424354009455205339753633125209344022236935493830833194695551583113655917389865892426295, 54201426757533309271107777432465491710300622893156534376674613022841525408792595074993173572065724006409, 725454843701198794479219362212485224460275804450920051393228111257834202412906890996453951143286, -244968443523814679169095316727687870639460807211713588217285178993854136169903258685976, -17129328905173555085570134165428160368129652498407003371224231835045987855783052, -28316036882151971792127758142103820274654816214478530937297127374075546, 135217172241934059559576433499116631118551697762106483494170239, 433895173686253429779866042234940506941711641444843836, -53273670804806308023211528341931022778639257, -1596983696267438747752116767611536547, -1688297873724747415804370145, 827085572314750932, 2250224949, 1], 1]], 'hecke_orbit_code': 72057594205700434, 'p': 89}
  • id: 738799
    {'charpoly_factorization': [[[25164577638958634323646358952710378705568922802337260936395953138792609442646718060599799208088559303503624314129801947700245211863, 3564921621618402989630526881259731890552533682087899966743794767575169962740891318085111368259227853974308750946670038996276, -4878055427749409156593417731730182659963565005194582731795005066228203944677491602738551159506846869182498144623409, -91969719607012534013651419239995388260957306511612036319392069172452059446689977419463670467765923472560215, 6956344905999548148340795387711029768273114286768336111493880518391418336193438821890835625214862, 805348891116664626980645622857233459307369730944836871183201280213620832883370057413619176, 449185522978403874162969647708038021237424593124313840789692747672967947378957216, -3127827653986813340878053515200657709317205136331976586484396356634815878, -3000402739364156418978353031515308559754870972445739008234533203, 5564434173268610716559250451385341918806148552816094178, 7490224745554889053270226240137927304490916505, -3523544572478211648739290818301731515, -7885100357648438171828738091, -853167990621511962, 2720440815, 1], 1]], 'hecke_orbit_code': 72057594205700434, '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': 17, 'label': '338.10.a.q', 'level': 338, 'portrait': 'data:image/png;base64,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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 62017243
    {'hecke_orbit_code': 72057594205700434, 'n': 1, 'trace_an': 15}
  • id: 62017244
    {'hecke_orbit_code': 72057594205700434, 'n': 2, 'trace_an': -240}
  • id: 62017245
    {'hecke_orbit_code': 72057594205700434, 'n': 3, 'trace_an': 324}
  • id: 62017246
    {'hecke_orbit_code': 72057594205700434, 'n': 4, 'trace_an': 3840}
  • id: 62017247
    {'hecke_orbit_code': 72057594205700434, 'n': 5, 'trace_an': -2164}
  • id: 62017248
    {'hecke_orbit_code': 72057594205700434, 'n': 6, 'trace_an': -5184}
  • id: 62017249
    {'hecke_orbit_code': 72057594205700434, 'n': 7, 'trace_an': -4227}
  • id: 62017250
    {'hecke_orbit_code': 72057594205700434, 'n': 8, 'trace_an': -61440}
  • id: 62017251
    {'hecke_orbit_code': 72057594205700434, 'n': 9, 'trace_an': 112199}
  • id: 62017252
    {'hecke_orbit_code': 72057594205700434, 'n': 10, 'trace_an': 34624}
  • id: 62017253
    {'hecke_orbit_code': 72057594205700434, 'n': 11, 'trace_an': 58782}
  • id: 62017254
    {'hecke_orbit_code': 72057594205700434, 'n': 12, 'trace_an': 82944}
  • id: 62017255
    {'hecke_orbit_code': 72057594205700434, 'n': 13, 'trace_an': 0}
  • id: 62017256
    {'hecke_orbit_code': 72057594205700434, 'n': 14, 'trace_an': 67632}
  • id: 62017257
    {'hecke_orbit_code': 72057594205700434, 'n': 15, 'trace_an': -488672}
  • id: 62017258
    {'hecke_orbit_code': 72057594205700434, 'n': 16, 'trace_an': 983040}
  • id: 62017259
    {'hecke_orbit_code': 72057594205700434, 'n': 17, 'trace_an': 47308}
  • id: 62017260
    {'hecke_orbit_code': 72057594205700434, 'n': 18, 'trace_an': -1795184}
  • id: 62017261
    {'hecke_orbit_code': 72057594205700434, 'n': 19, 'trace_an': -1027864}
  • id: 62017262
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