Embedded newform data - 49.24.a.f.1.10

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• 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': 28224, 'analytic_conductor': 164.24997829910086, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[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': [49, 1, [3], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 14, 'field_poly': [-50990028542728296688623812565804153999177618, -22214950574912968179617333346997657789218, 543960992554124581410981342517061510574, -54896928867175489851543883496924335, -1378620080712404619433990278685577, 138068341594650942193443298553, 1424565171490650325343339825, -93001068632447634048566, -708837141279167425756, 22440638605479136, 177925612890704, -1736098763, -21591353, -7, 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, [-837314350805736819570594803723766120452437573632, 126366700785639825841445058636332780123848704, 2163323213052638928512734199162650025263104, -501755500441594763089968586636677611520, -1360379430313853227615608867806773248, 221767297306090443231490983591936, 352666523344838522549425274880, -37065237301829757016178688, -44287264366964043034624, 2700610261249969152, 2808207524268384, -86316234984, -85932252, 966, 1]], [3, [942436025704141835321720014930293769346926160096301770396534415562551139527, 70354408551882648495839018283349392132820260798529212964977098022266892, 1148230841118811574043328693566959553003371090788800429958318445031, -8610837273735507869800930531152688375461676906024246204106808, -89134287097194836146700373127234690488838877652480138477, 316079268061350705439776750105392298987164170266084, 2590863644147646986635875374207121917680957347, -4958867934558744529721575725090463851216, -35728410100191838349286890888041995, 37288112323670048187745654932, 246682865436392317741749, -131711778859257720, -811766349327, 177148, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22517998539505713, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 3070513648894170093923705746854978256896000, 'hecke_ring_index_factorization': [[2, 49], [3, 13], [5, 3], [7, 23]], 'hecke_ring_index_proved': False, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': False, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '49.24.a.f', 'level': 49, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [7], 'level_radical': 7, 'minimal_twist': '7.24.c.a', 'prim_orbit_index': 1, 'qexp_display': 'q+(-69+\\beta _{1})q^{2}+(-12653-9\\beta _{1}+\\cdots)q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 14, 'rm_discs': [], 'sato_tate_group': '23.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '49.24.a', 'trace_display': [-966, -177148, -74771022, 0], 'trace_hash': 296322806710883000, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.759', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '406.099', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '23648.005', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [14, -966, -177148, 55357148, -74771022, -1504608254, 0, 25222400616, 336909608980, -334296297894, -1355476566108, -4984668058916, 427040218556, 0, 38670810653944, 160538324156336, -130193896130514, -110632655983108, -214771980430396, 48219439281468, 0, 7534772282877126, -6685548913560552, -31330599354826008, 9156874000789424, -48260478025970868, -8477622198540028, 0, 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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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-0.3365252472070175, -0.28249809731354975, -0.19487253884447645, -0.15722479299443537, -0.3472422043101912, -0.16432170581480457, -0.3080326898216198, -0.3631142997382092, -0.2362457226785754, -0.2634435614977646, -0.33992801916127136, -0.366500968400683, -0.4333695246239387, -0.15745699871463018, -0.09914017816621332, -0.07381113609523189, -0.20746265230042393, -0.20892171295555156, -0.14347751618161556, -0.39352770101916257, -0.21566296509041016, -0.26347321151058267, -0.2799895870392573, -0.3968781527676553, -0.2579274523663144, -0.2448770928547652, -0.09645705280458126, -0.27092933419488807, -0.24080345582871518, -0.41214551968723967, -0.16682189548851029, -0.2617829567681091, -0.2014817591354066, -0.2198086392755448, -0.3875069856368829, -0.43868201260411066, -0.15381865040816678, -0.1274504168308521, -0.3451595121170114, -0.09712317719501641, -0.2644580432550579, -0.3147924659435776, -0.2970890499781803, -0.25955658461099407, -0.22485752386080726, -0.1663751349232717, 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-0.39227138649409105, -0.265633925602787, -0.3004950358937904, -0.2574155881154581, -0.28942316099052057, -0.11647014159575428, -0.2980533915482328, -0.224155142800905, -0.24025343649084763, -0.3167137844189731, -0.26475355202273104, -0.3083791647326613, -0.2908633934103273, -0.24248459250144364], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 10, 'dual_embedding_m': 10, 'embedding_index': 10, 'embedding_m': 10, 'embedding_root_imag': 0.0, 'embedding_root_real': 1291.7900283727197, 'hecke_orbit': 6, 'hecke_orbit_code': 22517998539505713, 'label': '49.24.a.f.1.10', 'level': 49, 'weight': 24}
• 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': [38, 38], 'ALdims_eis_new': [2, 3], 'ALdims_eis_old': [2, 1], 'ALdims_old': [15, 13], 'Nk2': 28224, 'analytic_conductor': 164.24997829910086, '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': [49, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 104, 'dim': 76, 'eis_dim': 8, 'eis_new_dim': 5, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 402653233, 'hecke_orbit_dims': [1, 2, 5, 6, 10, 14, 14, 24], 'label': '49.24.a', 'level': 49, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [7], 'level_radical': 7, 'mf_dim': 112, 'mf_new_dim': 81, 'num_forms': 8, 'plus_dim': 38, 'prim_orbit_index': 1, 'relative_dim': 76, 'sturm_bound': 112, 'trace_bound': 3, 'trace_display': [3016, -14812, -70357686, 0], 'traces': [76, 3016, -14812, 308876940, 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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: 45090738
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 14, 'source_embedding_index': 10, 'source_hecke_orbit_code': 22517998539505713, 'source_is_minimal': False, 'source_label': '49.24.a.f.1.10', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 14, 'target_embedding_index': 10, 'target_hecke_orbit_code': 22517998539505713, 'target_is_minimal': False, 'target_label': '49.24.a.f.1.10', 'target_level': 49, 'twist_class_label': '7.24.c.a.2.5', 'twist_class_level': 7, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 24}
  • id: 45090739
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 14, 'source_embedding_index': 10, 'source_hecke_orbit_code': 22517998539505713, 'source_is_minimal': False, 'source_label': '49.24.a.f.1.10', 'source_level': 49, 'target_conrey_index': 2, 'target_dim': 28, 'target_embedding_index': 5, 'target_hecke_orbit_code': 137841606663, 'target_is_minimal': True, 'target_label': '7.24.c.a.2.5', 'target_level': 7, 'twist_class_label': '7.24.c.a.2.5', 'twist_class_level': 7, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 24}
  • id: 45090740
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 14, 'source_embedding_index': 10, 'source_hecke_orbit_code': 22517998539505713, 'source_is_minimal': False, 'source_label': '49.24.a.f.1.10', 'source_level': 49, 'target_conrey_index': 4, 'target_dim': 28, 'target_embedding_index': 5, 'target_hecke_orbit_code': 137841606663, 'target_is_minimal': True, 'target_label': '7.24.c.a.4.5', 'target_level': 7, 'twist_class_label': '7.24.c.a.2.5', 'twist_class_level': 7, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 24}
  • id: 45090741
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 14, 'source_embedding_index': 10, 'source_hecke_orbit_code': 22517998539505713, 'source_is_minimal': False, 'source_label': '49.24.a.f.1.10', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 14, 'target_embedding_index': 10, 'target_hecke_orbit_code': 27021598166876209, 'target_is_minimal': False, 'target_label': '49.24.a.g.1.10', 'target_level': 49, 'twist_class_label': '7.24.c.a.2.5', 'twist_class_level': 7, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 24}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 167750
    {'charpoly_factorization': [[[-837314350805736819570594803723766120452437573632, 126366700785639825841445058636332780123848704, 2163323213052638928512734199162650025263104, -501755500441594763089968586636677611520, -1360379430313853227615608867806773248, 221767297306090443231490983591936, 352666523344838522549425274880, -37065237301829757016178688, -44287264366964043034624, 2700610261249969152, 2808207524268384, -86316234984, -85932252, 966, 1], 1]], 'hecke_orbit_code': 22517998539505713, 'p': 2}
  • id: 167751
    {'charpoly_factorization': [[[942436025704141835321720014930293769346926160096301770396534415562551139527, 70354408551882648495839018283349392132820260798529212964977098022266892, 1148230841118811574043328693566959553003371090788800429958318445031, -8610837273735507869800930531152688375461676906024246204106808, -89134287097194836146700373127234690488838877652480138477, 316079268061350705439776750105392298987164170266084, 2590863644147646986635875374207121917680957347, -4958867934558744529721575725090463851216, -35728410100191838349286890888041995, 37288112323670048187745654932, 246682865436392317741749, -131711778859257720, -811766349327, 177148, 1], 1]], 'hecke_orbit_code': 22517998539505713, 'p': 3}
  • id: 167752
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  • id: 167770
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  • id: 167771
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  • id: 167772
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  • id: 167773
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  • id: 167774
    {'charpoly_factorization': [[[39614935501648633328786543172238610476125342520042979317974363616558230520772701726220903114139586853842886065175140583805819577191827043028946922833823248500398860860166183674891538857164097574289943212189133754656792828711840474981752319572560695097950147987355451299993854112590202683088388360895632503686866026496, 10471524288165813034300589590151019526892856695812696715352875544811952879041230106475475915406386310168342407057092281557700730254334373276400747791080890205405493145149852138617867411113767748122105400406340143615040266473387059243311342080947122452782014688669260898108053312088854781807869952, 784974545608423466163517074844666546005660143267102517207995145849846075819607941262546896155710763832924292528379185950972635209097795657184693576269985619403368484876805471476249322335268541559834454541523709416418920778588326076650930794607777032050616340084804790300672, -21198882210689197169020266809878602653398822313684057176288172109389753760205887993152257375448886335061597078540746065712603400135447589960066225229773210572518578392863731267898801309718643227961411695247069179094437634566770530344327051777665998848, -6133471783234930579039161750768317959559036421299450859056022792063104414866393013598944525282343794595508825738275450302184231195322968529830553365033376233292469082572257618790246127401167313232598183524737158598352780071992320, -338015415274315437764262929740806861829519890266411269877477181180541504434089829944958623900184935883551460735885184280746795353086874647912764803829515400743061140516705573415566916997895087850396606221312, -7068165168877531048793918458439091791984157546879603029938548589059783862536348807053849720982847639947335414536155935685809472141599236480467510706896356782648742762638464729875817728, 13295635294486575767612602625511587727116368731297100352616536304321000152194931104285879398468244853319459503814558433606328684729454366597067416664128036914176, 2801637336485181009024772159721520485172653702519377109416717071947275545170916364674989338669767310033993385415649503082960429687320632512, 30028533747491935997021797067889539800532494977601297751730995641934368656215754229636269024182714362518324911917888, -231094575506924202443258086104615487620431984368756406238605510298236859610944158437713438320, -5189502195483429983531842401222836894467030160789084666677429298647328, -8018290524263758460697652288265436490933203188, 230188776588461622952972, 1], 1]], 'hecke_orbit_code': 22517998539505713, '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': 6, 'label': '49.24.a.f', 'level': 49, 'portrait': 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', 'weight': 24}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 43987429
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  • id: 43987431
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  • id: 43987432
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  • id: 43987433
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  • id: 43987435
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  • id: 43987436
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  • id: 43987439
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  • id: 43987442
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  • id: 43987490
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  • id: 43987491
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  • id: 43987492
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  • id: 43987493
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  • id: 43987494
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  • id: 43987498
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  • id: 43987499
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  • id: 43987500
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  • id: 43987501
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  • id: 43987502
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  • id: 43987504
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  • id: 43987505
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  • id: 43987506
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  • id: 43987507
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  • id: 43987508
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  • id: 43987509
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  • id: 43987510
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  • id: 43987511
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  • id: 43987512
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  • id: 43987513
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  • id: 43987514
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  • id: 43987515
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  • id: 43987516
    {'hecke_orbit_code': 22517998539505713, 'n': 88, 'trace_an': 2867657955669848060664}
  • id: 43987517
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  • id: 43987518
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  • id: 43987519
    {'hecke_orbit_code': 22517998539505713, 'n': 91, 'trace_an': 0}
  • id: 43987520
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  • id: 43987521
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  • id: 43987522
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  • id: 43987523
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  • id: 43987524
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  • id: 43987525
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  • id: 43987526
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  • id: 43987527
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  • id: 43987528
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  • id: 43987529
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  • id: 43987530
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  • id: 43987531
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  • id: 43987532
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  • id: 43987533
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  • id: 43987534
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  • id: 43987535
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  • id: 43987536
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  • id: 43987537
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  • id: 43987538
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  • id: 43987539
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  • id: 43987540
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  • id: 43987541
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  • id: 43987542
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  • id: 43987543
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  • id: 43987544
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  • id: 43987545
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  • id: 43987546
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  • id: 43987547
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  • id: 43987548
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  • id: 43987549
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  • id: 43987550
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  • id: 43987551
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  • id: 43987552
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  • id: 43987553
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  • id: 43987554
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  • id: 43987555
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  • id: 43987557
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  • id: 43987558
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  • id: 43987559
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  • id: 43987560
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  • id: 43987561
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  • id: 43987562
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  • id: 43987563
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  • id: 43987564
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  • id: 43987565
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  • id: 43987566
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  • id: 43987567
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  • id: 43987568
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  • id: 43987569
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