Embedded newform data - 192.8.c.b.191.1

Formats: - HTML - YAML - JSON - 2024-05-11T22:47:48.174601

• 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': 12288, 'analytic_conductor': 59.97792489295138, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 12, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [192, 2, [127, 133, 65], [1, 2, 1]], 'cm_discs': [], 'conrey_index': 191, 'conrey_indexes': [191], 'dim': 4, 'field_disc': 3600, 'field_disc_factorization': [[2, 4], [3, 2], [5, 2]], 'field_poly': [4, 0, 1, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [42320, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503737200541888, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 576, 'hecke_ring_index_factorization': [[2, 6], [3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 12, 2, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '192.8.c.b', 'level': 192, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '12.8.b.a', 'nf_label': '4.0.3600.1', 'prim_orbit_index': 2, 'qexp_display': 'q-3\\beta _{2}q^{3}-23\\beta _{1}q^{5}+(-43\\beta _{2}-43\\beta _{3})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '7.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '192.8.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 2193346787561615887, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.645', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '107.335', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4034.056', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.759', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, -972, 0, 0, 0, 50920, 0, 0, 0, 0, 0, 0, 0, -139320, 0, 0, 0, 143220, 0, 0, 0, 0, 0, 0, 0, -246240, 0, 0, 0, -173240, 0, 0, 0, 0, 0, 0, 0, 1788480, 0, 0, 0, -699668, 0, 0, 0, 0, 0, 0, 0, 3333960, 0, 0, 0, -1256792, 0, 0, 0, 0, 0, 0, 0, -9025344, 0, 0, 0, -1037080, 0, 0, 0, 0, 0, 0, 0, -18659484, 0, 0, 0, 15514880, 0, 0, 0, 0, 0, 0, 0, 12600360, 0, 0, 0, 28972040, 0, 0, 0, 0, 0, 0, 0, 25634880, 0, 0, 0, -39228056, 0, 0, 0, 0, 0, 0, 0, -12373560, 0, 0, 0, -62353484, 0, 0, 0, 0, 0, 0, 0, -9872280, 0, 0, 0, 95573520, 0, 0, 0, 0, 0, 0, 0, -70305408, 0, 0, 0, 87311680, 0, 0, 0, 0, 0, 0, 0, -163918080, 0, 0, 0, 101694760, 0, 0, 0, 0, 0, 0, 0, -56635200, 0, 0, 0, 397217532, 0, 0, 0, 0, 0, 0, 0, -94543200, 0, 0, 0, -145234808, 0, 0, 0, 0, 0, 0, 0, -236983320, 0, 0, 0, -479954680, 0, 0, 0, 0, 0, 0, 0, -113124600, 0, 0, 0, 646605440, 0, 0, 0, 0, 0, 0, 0, -33048000, 0, 0, 0, 361210320, 0, 0, 0, 0, 0, 0, 0, -34802460, 0, 0, 0, 175651144, 0, 0, 0, 0, 0, 0, 0, -729878040, 0, 0, 0, 1676880968, 0, 0, 0, 0, 0, 0, 0, -1259756064, 0, 0, 0, 571605120, 0, 0, 0, 0, 0, 0, 0, -922466880, 0, 0, 0, 287135680, 0, 0, 0, 0, 0, 0, 0, -1773543600, 0, 0, 0, 1681025800, 0, 0, 0, 0, 0, 0, 0, -613448640, 0, 0, 0, 219382212, 0, 0, 0, 0, 0, 0, 0, 658199520, 0, 0, 0, -283005360, 0, 0, 0, 0, 0, 0, 0, -1614799800, 0, 0, 0, -277135960, 0, 0, 0, 0, 0, 0, 0, 27270432, 0, 0, 0, 1823190600, 0, 0, 0, 0, 0, 0, 0, 42097320, 0, 0, 0, 4623799880, 0, 0, 0, 0, 0, 0, 0, -2075829120, 0, 0, 0, 1116458536, 0, 0, 0, 0, 0, 0, 0, -2349492480, 0, 0, 0, 1288390396, 0, 0, 0, 0, 0, 0, 0, -6831527040, 0, 0, 0, 1676799880, 0, 0, 0, 0, 0, 0, 0, -2307498840, 0, 0, 0, -1623542400, 0, 0, 0, 0, 0, 0, 0, 317351520, 0, 0, 0, 5384126440, 0, 0, 0, 0, 0, 0, 0, -869201280, 0, 0, 0, 6476516264, 0, 0, 0, 0, 0, 0, 0, 5555151720, 0, 0, 0, -5198918072, 0, 0, 0, 0, 0, 0, 0, -3134635200, 0, 0, 0, -1355174200, 0, 0, 0, 0, 0, 0, 0, 170019324, 0, 0, 0, 3196492160, 0, 0, 0, 0, 0, 0, 0, 7907974920, 0, 0, 0, -8910036760, 0, 0, 0, 0, 0, 0, 0, -2318466240, 0, 0, 0, -3242905200, 0, 0, 0, 0, 0, 0, 0, -3033650880, 0, 0, 0, -2205345200, 0, 0, 0, 0, 0, 0, 0, -5636365560, 0, 0, 0, -8002305280, 0, 0, 0, 0, 0, 0, 0, 6618708288, 0, 0, 0, 9229094080, 0, 0, 0, 0, 0, 0, 0, 5671065960, 0, 0, 0, 4452675840, 0, 0, 0, 0, 0, 0, 0, -4988352600, 0, 0, 0, 7331530084, 0, 0, 0, 0, 0, 0, 0, 9380694240, 0, 0, 0, 1836192808, 0, 0, 0, 0, 0, 0, 0, 305400456, 0, 0, 0, -20923170480, 0, 0, 0, 0, 0, 0, 0, 5190739200, 0, 0, 0, -4456126720, 0, 0, 0, 0, 0, 0, 0, 16154380800, 0, 0, 0, -10523910520, 0, 0, 0, 0, 0, 0, 0, 22767350400, 0, 0, 0, -8643846960, 0, 0, 0, 0, 0, 0, 0, 14070584520, 0, 0, 0, -25950753112, 0, 0, 0, 0, 0, 0, 0, -13222025280, 0, 0, 0, -40794255800, 0, 0, 0, 0, 0, 0, 0, 24124744512, 0, 0, 0, -8097007900, 0, 0, 0, 0, 0, 0, 0, 28197813960, 0, 0, 0, -8906773640, 0, 0, 0, 0, 0, 0, 0, 1816499520, 0, 0, 0, 5987736000, 0, 0, 0, 0, 0, 0, 0, 252010440, 0, 0, 0, -10643666168, 0, 0, 0, 0, 0, 0, 0, -6460245720, 0, 0, 0, 37699959560, 0, 0, 0, 0, 0, 0, 0, 19022944608, 0, 0, 0, 20952963200, 0, 0, 0, 0, 0, 0, 0, 17153078400, 0, 0, 0, -59262794240, 0, 0, 0, 0, 0, 0, 0, -16170243840, 0, 0, 0, 24303045064, 0, 0, 0, 0, 0, 0, 0, -16737114240, 0, 0, 0, -46290927600, 0, 0, 0, 0, 0, 0, 0, 13717555092, 0, 0, 0, -30874237400, 0, 0, 0, 0, 0, 0, 0, 42441310800, 0, 0, 0, -2037976640, 0, 0, 0, 0, 0, 0, 0, 55438953120, 0, 0, 0, -67188761720, 0, 0, 0, 0, 0, 0, 0, -3770115840, 0, 0, 0, 38933211656, 0, 0, 0, 0, 0, 0, 0, 6033949200, 0, 0, 0, 2093040000, 0, 0, 0, 0, 0, 0, 0, 53169182784, 0, 0, 0, -15998962160, 0, 0, 0, 0, 0, 0, 0, -33771634560, 0, 0, 0, -59507101440, 0, 0, 0, 0, 0, 0, 0, -23509929240, 0, 0, 0, 6772384080, 0, 0, 0, 0, 0, 0, 0, -8816623200, 0, 0, 0, 121233296296, 0, 0, 0, 0, 0, 0, 0, 21433212360, 0, 0, 0, 23965659156, 0, 0, 0, 0, 0, 0, 0, -2156074200, 0, 0, 0, 31098060040, 0, 0, 0, 0, 0, 0, 0, -97918554240, 0, 0, 0, 6424360000, 0, 0, 0, 0, 0, 0, 0, -7040205720, 0, 0, 0, 29714410600, 0, 0, 0, 0, 0, 0, 0, -21744936000, 0, 0, 0, -66148300080, 0, 0, 0, 0, 0, 0, 0, -114892629120, 0, 0, 0, -26316609280, 0, 0, 0, 0, 0, 0, 0, -97507385280, 0, 0, 0, 79784550720, 0, 0, 0, 0, 0, 0, 0, 70782974280, 0, 0, 0, -6202858200, 0, 0, 0, 0, 0, 0, 0, 34816443840, 0, 0, 0, 89783181800, 0, 0, 0, 0, 0, 0, 0, -68522034240, 0, 0, 0, -13202028400, 0, 0, 0, 0, 0, 0, 0, 29211451200, 0, 0, 0, 77381923084, 0, 0, 0, 0, 0, 0, 0, 56223901440, 0, 0, 0, 159247682640, 0, 0, 0, 0, 0, 0, 0, 9532417608, 0, 0, 0, -31347763520, 0, 0, 0, 0, 0, 0, 0, -166108342680, 0, 0, 0, -39542623160, 0, 0, 0], 'weight': 8, 'weight_parity': 1}
• 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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-0.6666666666666666, -0.7453559924999299], [0.0, 0.0], [0.0, -0.736], [0.0, 0.0], [0.0, -1.1010884204987823], [0.0, 0.0], [-0.1111111111111111, 0.9938079899999065], [0.0, 0.0], [0.4472919484361282, 0.0], [0.0, 0.0], [1.6070399403612123, 0.0], [0.0, 0.0], [-0.5485820104799484, 0.49066666666666664], [0.0, 0.0], [0.0, 0.9307742826821234], [0.0, 0.0], [0.0, 0.799787572084408], [0.0, 0.0], [-0.82070285249105, 0.7340589469991883], [0.0, 0.0], [1.240289919948002, 0.0], [0.0, 0.0], [0.458304, 0.0], [0.0, 0.0], [0.8148148148148148, -0.5797213274999454], [0.0, 0.0], [0.0, 0.8078793944031467], [0.0, 0.0], [0.0, 0.5448398875667702], [0.0, 0.0], [-0.2981946322907521, -0.33339173416383777], [0.0, 0.0], [-0.8104010774871038, 0.0], [0.0, 0.0], [-0.14056660296912374, 0.0], [0.0, 0.0], [-1.0713599602408082, -1.1978168497349595], [0.0, 0.0], [0.0, 1.7805863294073077], [0.0, 0.0], [0.0, -0.13580937156832457], [0.0, 0.0], [0.7314426806399312, 0.08177777777777778], [0.0, 0.0], [0.7920509265310166, 0.0], [0.0, 0.0], [-0.2123957097565033, 0.0], [0.0, 0.0], [0.6937581892619443, -0.6205161884547489], [0.0, 0.0], [0.0, 0.3219502729507303], [0.0, 0.0], [0.0, -0.32920687404899035], [0.0, 0.0], [0.5961264595800831, -0.5331917147229387], [0.0, 0.0], [0.4805683148571736, 0.0], [0.0, 0.0], [-0.17723479763132619, 0.0], [0.0, 0.0], [1.0942704699880668, 0.12234315783319803], [0.0, 0.0], [0.0, -1.1827813961058522], [0.0, 0.0], [0.0, -0.3295695787101899], [0.0, 0.0], [-0.8268599466320014, -0.9244575242705017], [0.0, 0.0], [0.08787145905290339, 0.0], [0.0, 0.0], [-0.07800496696427346, 0.0], [0.0, 0.0], [-0.305536, -0.34159963278668787], [0.0, 0.0], [0.0, -0.4925079850053592], [0.0, 0.0], [0.0, -1.1945582921031823], [0.0, 0.0], [-0.9753086419753086, -0.22084621999997922], [0.0, 0.0], [1.9391884261827546, 0.0], [0.0, 0.0], [0.6850498720540428, 0.0], [0.0, 0.0], [0.6021577478355997, -0.5385862629354311], [0.0, 0.0], [0.0, 0.5840846587990989], [0.0, 0.0], [0.0, -1.7694930696107847], [0.0, 0.0], [0.4060996751508802, -0.3632265917111801], [0.0, 0.0], [0.5886436530541242, 0.0], [0.0, 0.0], [0.8057828408996929, 0.0], [0.0, 0.0], [-0.04969910538179202, 0.4445223122184504], [0.0, 0.0], [0.0, 1.0831820240394698], [0.0, 0.0], [0.0, -1.0443360506669495], [0.0, 0.0], [0.5402673849914025, 0.6040372994334129], [0.0, 0.0], [-0.01725661746884483, 0.0], [0.0, 0.0], [-0.7253440493403487, 0.0], [0.0, 0.0], [0.09371106864608249, 0.1047721598683948], [0.0, 0.0], [0.0, -0.35306133533543305], [0.0, 0.0], [0.0, -0.9128533810817295], [0.0, 0.0], [-0.17855999337346803, 1.597089132979946], [0.0, 0.0], [1.0248647847593464, 0.0], [0.0, 0.0], [-0.799929912864212, 0.0], [0.0, 0.0], [1.327170690787191, -1.187057552938205], [0.0, 0.0], [0.0, -1.073311744], [0.0, 0.0], [0.0, -0.716935916258824], [0.0, 0.0], [-0.10122632893610031, 0.0905395810455497], [0.0, 0.0], [-0.098900371782515, 0.0], [0.0, 0.0], [0.8806368344809768, 0.0], [0.0, 0.0], [-0.42667489703995987, -0.5997037037037037], [0.0, 0.0], [0.0, 0.8460395086416335], [0.0, 0.0], [0.0, 1.2583341801903765], [0.0, 0.0], [-0.5280339510206777, -0.590359904455015], [0.0, 0.0], [0.7188160261388459, 0.0], [0.0, 0.0], [0.5945992342807159, 0.0], [0.0, 0.0], [0.14159713983766886, 0.15831041504828555], [0.0, 0.0], [0.0, -0.061335857516260125], [0.0, 0.0], [0.0, 1.3405957475922479], [0.0, 0.0], [-0.9250109190159258, -0.10341936474245815], [0.0, 0.0], [0.40100215724914284, 0.0], [0.0, 0.0], [0.5243120040727389, 0.0], [0.0, 0.0], [0.23996756523081492, -0.21463351530048685], [0.0, 0.0], [0.0, -1.3656688689161067], [0.0, 0.0], [0.0, -0.7311296674229196], [0.0, 0.0], [-0.24537631634458462, 0.21947124936599355], [0.0, 0.0], [-0.8818048185628491, 0.0], [0.0, 0.0], [1.5825773699161687, 0.0], [0.0, 0.0], [-0.7948352794401109, -0.08886528578715644], [0.0, 0.0], [0.0, 0.11463987070968523], [0.0, 0.0], [0.0, -0.504633227468274], [0.0, 0.0], [-0.3203788765714491, -0.3581944732843874], [0.0, 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-0.2641224223589517, -0.4736535203421216, -0.24300515982246293, -0.2562090129032916, -0.3981242267676248, -0.039347746202127075, 0.04716740815612004, -0.18400261105476926, 0.09108892150124724, -0.4125616915938298, -0.2513732550252481, -0.3090677365696534, -0.47175626160037093, -0.4416496170506259, -0.2578734526004432, 0.06951495705956269, 0.1083019407022372, -0.49511828211267633, 0.11691683057621187, -0.20778324938989176, -0.4404379231550554, -0.3226707571672331, 0.009127754030364272, -0.33152843549998295, -0.2865382306765245, -0.3674091082759246, -0.3525562477273011, -0.4715986134830707, 0.07498160670344815, 0.13283642382343536, -0.4776616609915604, -0.32123311667663423, -0.2307238973328006, 0.10809755614741504, -0.1985020575427176, -0.04246714805855296, -0.42368503699897453, -0.4904909319016363, -0.3785241778006394, -0.4220521703480143, -0.4585795824402403, -0.1487688771621711, -0.37978456122964244, -0.4967723758737029, -0.3136445682018167, 0.08345962763294665, -0.2923803623620907, 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-0.45049992497918984, -0.47273058689829217, -0.17648218732012802, 0.0866725352936444, -0.1787040000823524, 0.16966698593332047, 0.04790489198256415, -0.24566337059051474, 0.02111172160683586, -0.42116854157769906, -0.4843329098029158, -0.27524557813846073], 'char_orbit_index': 3, 'conrey_index': 191, 'dual_conrey_index': 191, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -1.118033988749895, 'embedding_root_real': -0.8660254037844386, 'hecke_orbit': 2, 'hecke_orbit_code': 4503737200541888, 'label': '192.8.c.b.191.1', 'level': 192, 'weight': 8}
• 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

  
  {'Nk2': 12288, 'analytic_conductor': 59.97792489295138, 'char_conductor': 12, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [192, 2, [127, 133, 65], [1, 2, 1]], 'conrey_index': 191, 'cusp_dim': 212, 'dim': 54, 'eis_dim': 24, 'eis_new_dim': 4, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 137573171392, 'hecke_orbit_dims': [2, 4, 4, 8, 8, 28], 'label': '192.8.c', 'level': 192, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 236, 'mf_new_dim': 58, 'num_forms': 6, 'prim_orbit_index': 2, 'relative_dim': 54, 'sturm_bound': 256, 'trace_bound': 9, 'trace_display': [0, 0, 0, 0], 'traces': [54, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 7068, 0, 0, 0, 0, 0, 0, 0, -4372, 0, 0, 0, -718754, 0, 0, 0, 0, 0, 0, 0, 94640, 0, 0, 0, 634028, 0, 0, 0, 0, 0, 0, 0, 949216, 0, 0, 0, -4941262, 0, 0, 0, 0, 0, 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-67722549472, 0, 0, 0, -62920819652, 0, 0, 0, 0, 0, 0, 0, 50549370592, 0, 0, 0, -152629727528, 0, 0, 0, 0, 0, 0, 0, -629433632, 0, 0, 0, -6622250782, 0, 0, 0, 0, 0, 0, 0, -95037449472, 0, 0, 0, -207848914696, 0, 0, 0, 0, 0, 0, 0, 109487456556, 0, 0, 0, 46511801312, 0, 0, 0, 0, 0, 0, 0, 47637313340, 0, 0, 0, 57447616812, 0, 0, 0], 'weight': 8, 'weight_parity': 1}
• 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: 34817622
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 191, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737200541888, 'source_is_minimal': False, 'source_label': '192.8.c.b.191.1', 'source_level': 192, 'target_conrey_index': 191, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737200541888, 'target_is_minimal': False, 'target_label': '192.8.c.b.191.1', 'target_level': 192, 'twist_class_label': '12.8.b.a.11.1', 'twist_class_level': 12, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 34817623
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 191, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737200541888, 'source_is_minimal': False, 'source_label': '192.8.c.b.191.1', 'source_level': 192, 'target_conrey_index': 191, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503737200541888, 'target_is_minimal': False, 'target_label': '192.8.c.b.191.3', 'target_level': 192, 'twist_class_label': '12.8.b.a.11.1', 'twist_class_level': 12, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 34817624
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 191, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737200541888, 'source_is_minimal': False, 'source_label': '192.8.c.b.191.1', 'source_level': 192, 'target_conrey_index': 191, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4503737200541888, 'target_is_minimal': False, 'target_label': '192.8.c.b.191.4', 'target_level': 192, 'twist_class_label': '12.8.b.a.11.1', 'twist_class_level': 12, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 34817625
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 191, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737200541888, 'source_is_minimal': False, 'source_label': '192.8.c.b.191.1', 'source_level': 192, 'target_conrey_index': 11, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68853694476, 'target_is_minimal': True, 'target_label': '12.8.b.a.11.1', 'target_level': 12, 'twist_class_label': '12.8.b.a.11.1', 'twist_class_level': 12, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 34817626
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 191, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737200541888, 'source_is_minimal': False, 'source_label': '192.8.c.b.191.1', 'source_level': 192, 'target_conrey_index': 11, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 68853694476, 'target_is_minimal': True, 'target_label': '12.8.b.a.11.3', 'target_level': 12, 'twist_class_label': '12.8.b.a.11.1', 'twist_class_level': 12, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 8}
  • id: 34817627
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 191, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737200541888, 'source_is_minimal': False, 'source_label': '192.8.c.b.191.1', 'source_level': 192, 'target_conrey_index': 191, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503737200541888, 'target_is_minimal': False, 'target_label': '192.8.c.b.191.2', 'target_level': 192, 'twist_class_label': '12.8.b.a.11.1', 'twist_class_level': 12, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 8}
  • id: 34817628
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 191, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737200541888, 'source_is_minimal': False, 'source_label': '192.8.c.b.191.1', 'source_level': 192, 'target_conrey_index': 11, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68853694476, 'target_is_minimal': True, 'target_label': '12.8.b.a.11.2', 'target_level': 12, 'twist_class_label': '12.8.b.a.11.1', 'twist_class_level': 12, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 8}
  • id: 34817629
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 191, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737200541888, 'source_is_minimal': False, 'source_label': '192.8.c.b.191.1', 'source_level': 192, 'target_conrey_index': 11, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 68853694476, 'target_is_minimal': True, 'target_label': '12.8.b.a.11.4', 'target_level': 12, 'twist_class_label': '12.8.b.a.11.1', 'twist_class_level': 12, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 482075
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4503737200541888, 'p': 2}
  • id: 482076
    {'charpoly_factorization': [[[4782969, 0, 486, 0, 1], 1]], 'hecke_orbit_code': 4503737200541888, 'p': 3}
  • id: 482077
    {'charpoly_factorization': [[[42320, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 5}
  • id: 482078
    {'charpoly_factorization': [[[998460, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 7}
  • id: 482079
    {'charpoly_factorization': [[[-3898800, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 11}
  • id: 482080
    {'charpoly_factorization': [[[-12730, 1], 4]], 'hecke_orbit_code': 4503737200541888, 'p': 13}
  • id: 482081
    {'charpoly_factorization': [[[355493120, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 17}
  • id: 482082
    {'charpoly_factorization': [[[571774140, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 19}
  • id: 482083
    {'charpoly_factorization': [[[-5237707968, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 23}
  • id: 482084
    {'charpoly_factorization': [[[11258461520, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 29}
  • id: 482085
    {'charpoly_factorization': [[[8167133340, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 31}
  • id: 482086
    {'charpoly_factorization': [[[43310, 1], 4]], 'hecke_orbit_code': 4503737200541888, 'p': 37}
  • id: 482087
    {'charpoly_factorization': [[[617466025280, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 41}
  • id: 482088
    {'charpoly_factorization': [[[5013472860, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 43}
  • id: 482089
    {'charpoly_factorization': [[[-317827314432, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 47}
  • id: 482090
    {'charpoly_factorization': [[[121761133520, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 53}
  • id: 482091
    {'charpoly_factorization': [[[-574743870000, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 59}
  • id: 482092
    {'charpoly_factorization': [[[314198, 1], 4]], 'hecke_orbit_code': 4503737200541888, 'p': 61}
  • id: 482093
    {'charpoly_factorization': [[[658290901500, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 67}
  • id: 482094
    {'charpoly_factorization': [[[-70227000000, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 71}
  • id: 482095
    {'charpoly_factorization': [[[259270, 1], 4]], 'hecke_orbit_code': 4503737200541888, 'p': 73}
  • id: 482096
    {'charpoly_factorization': [[[27403392658140, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 79}
  • id: 482097
    {'charpoly_factorization': [[[-102043810492848, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 83}
  • id: 482098
    {'charpoly_factorization': [[[15089736130880, 0, 1], 2]], 'hecke_orbit_code': 4503737200541888, 'p': 89}
  • id: 482099
    {'charpoly_factorization': [[[-7243010, 1], 4]], 'hecke_orbit_code': 4503737200541888, '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': 3, 'hecke_orbit': 2, 'label': '192.8.c.b', 'level': 192, 'portrait': 'data:image/png;base64,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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 82435000
    {'hecke_orbit_code': 4503737200541888, 'n': 1, 'trace_an': 4}
  • id: 82435001
    {'hecke_orbit_code': 4503737200541888, 'n': 2, 'trace_an': 0}
  • id: 82435002
    {'hecke_orbit_code': 4503737200541888, 'n': 3, 'trace_an': 0}
  • id: 82435003
    {'hecke_orbit_code': 4503737200541888, 'n': 4, 'trace_an': 0}
  • id: 82435004
    {'hecke_orbit_code': 4503737200541888, 'n': 5, 'trace_an': 0}
  • id: 82435005
    {'hecke_orbit_code': 4503737200541888, 'n': 6, 'trace_an': 0}
  • id: 82435006
    {'hecke_orbit_code': 4503737200541888, 'n': 7, 'trace_an': 0}
  • id: 82435007
    {'hecke_orbit_code': 4503737200541888, 'n': 8, 'trace_an': 0}
  • id: 82435008
    {'hecke_orbit_code': 4503737200541888, 'n': 9, 'trace_an': -972}
  • id: 82435009
    {'hecke_orbit_code': 4503737200541888, 'n': 10, 'trace_an': 0}
  • id: 82435010
    {'hecke_orbit_code': 4503737200541888, 'n': 11, 'trace_an': 0}
  • id: 82435011
    {'hecke_orbit_code': 4503737200541888, 'n': 12, 'trace_an': 0}
  • id: 82435012
    {'hecke_orbit_code': 4503737200541888, 'n': 13, 'trace_an': 50920}
  • id: 82435013
    {'hecke_orbit_code': 4503737200541888, 'n': 14, 'trace_an': 0}
  • id: 82435014
    {'hecke_orbit_code': 4503737200541888, 'n': 15, 'trace_an': 0}
  • id: 82435015
    {'hecke_orbit_code': 4503737200541888, 'n': 16, 'trace_an': 0}
  • id: 82435016
    {'hecke_orbit_code': 4503737200541888, 'n': 17, 'trace_an': 0}
  • id: 82435017
    {'hecke_orbit_code': 4503737200541888, 'n': 18, 'trace_an': 0}
  • id: 82435018
    {'hecke_orbit_code': 4503737200541888, 'n': 19, 'trace_an': 0}
  • id: 82435019
    {'hecke_orbit_code': 4503737200541888, 'n': 20, 'trace_an': 0}
  • id: 82435020
    {'hecke_orbit_code': 4503737200541888, 'n': 21, 'trace_an': -139320}
  • id: 82435021
    {'hecke_orbit_code': 4503737200541888, 'n': 22, 'trace_an': 0}
  • id: 82435022
    {'hecke_orbit_code': 4503737200541888, 'n': 23, 'trace_an': 0}
  • id: 82435023
    {'hecke_orbit_code': 4503737200541888, 'n': 24, 'trace_an': 0}
  • id: 82435024
    {'hecke_orbit_code': 4503737200541888, 'n': 25, 'trace_an': 143220}
  • id: 82435025
    {'hecke_orbit_code': 4503737200541888, 'n': 26, 'trace_an': 0}
  • id: 82435026
    {'hecke_orbit_code': 4503737200541888, 'n': 27, 'trace_an': 0}
  • id: 82435027
    {'hecke_orbit_code': 4503737200541888, 'n': 28, 'trace_an': 0}
  • id: 82435028
    {'hecke_orbit_code': 4503737200541888, 'n': 29, 'trace_an': 0}
  • id: 82435029
    {'hecke_orbit_code': 4503737200541888, 'n': 30, 'trace_an': 0}
  • id: 82435030
    {'hecke_orbit_code': 4503737200541888, 'n': 31, 'trace_an': 0}
  • id: 82435031
    {'hecke_orbit_code': 4503737200541888, 'n': 32, 'trace_an': 0}
  • id: 82435032
    {'hecke_orbit_code': 4503737200541888, 'n': 33, 'trace_an': -246240}
  • id: 82435033
    {'hecke_orbit_code': 4503737200541888, 'n': 34, 'trace_an': 0}
  • id: 82435034
    {'hecke_orbit_code': 4503737200541888, 'n': 35, 'trace_an': 0}
  • id: 82435035
    {'hecke_orbit_code': 4503737200541888, 'n': 36, 'trace_an': 0}
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  • id: 82435040
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  • id: 82435044
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  • id: 82435045
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  • id: 82435046
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  • id: 82435048
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  • id: 82435050
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  • id: 82435051
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  • id: 82435052
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  • id: 82435053
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  • id: 82435054
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  • id: 82435055
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  • id: 82435056
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  • id: 82435057
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  • id: 82435058
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  • id: 82435059
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  • id: 82435060
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  • id: 82435063
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  • id: 82435065
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  • id: 82435067
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  • id: 82435068
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  • id: 82435069
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  • id: 82435070
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  • id: 82435072
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  • id: 82435076
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  • id: 82435077
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  • id: 82435078
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  • id: 82435079
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  • id: 82435080
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  • id: 82435081
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  • id: 82435082
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  • id: 82435083
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  • id: 82435084
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  • id: 82435085
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  • id: 82435086
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  • id: 82435087
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  • id: 82435088
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  • id: 82435089
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  • id: 82435090
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  • id: 82435091
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  • id: 82435092
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  • id: 82435095
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  • id: 82435096
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  • id: 82435097
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  • id: 82435098
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  • id: 82435104
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  • id: 82435107
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  • id: 82435108
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  • id: 82435116
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  • id: 82435117
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  • id: 82435119
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  • id: 82435120
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  • id: 82435121
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  • id: 82435122
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  • id: 82435124
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  • id: 82435125
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  • id: 82435126
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  • id: 82435127
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  • id: 82435128
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  • id: 82435129
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  • id: 82435130
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  • id: 82435131
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  • id: 82435132
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  • id: 82435133
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  • id: 82435134
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  • id: 82435135
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  • id: 82435136
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  • id: 82435137
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  • id: 82435138
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  • id: 82435139
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  • id: 82435140
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  • id: 82435141
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  • id: 82435142
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  • id: 82435143
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  • id: 82435144
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  • id: 82435146
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  • id: 82435147
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  • id: 82435148
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  • id: 82435152
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  • id: 82435156
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  • id: 82435160
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  • id: 82435161
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  • id: 82435162
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  • id: 82435163
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  • id: 82435164
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  • id: 82435167
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  • id: 82435168
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  • id: 82435171
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  • id: 82435172
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  • id: 82435173
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  • id: 82435174
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  • id: 82435176
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  • id: 82435179
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  • id: 82435180
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  • id: 82435188
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  • id: 82435192
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  • id: 82435228
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  • id: 82435232
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  • id: 82435248
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  • id: 82435312
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  • id: 82435332
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  • id: 82435336
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