Embedded newform data - 864.2.v.a.109.11

Formats: - HTML - YAML - JSON - 2024-05-30T09:26:37.007806

• 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': 3456, 'analytic_conductor': 6.899074734638625, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 32, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 8, 'char_parity': 1, 'char_values': [864, 8, [703, 325, 353], [8, 7, 8]], 'cm_discs': [], 'conrey_index': 109, 'dim': 128, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [3111399658583832001, 0, -12977829136316047223680, 0, 27065640478997916337971200, 0, -11820642460732858705684509184, 0, 2561485195165091080102028104448, 0, 41189194109529708386012995668736, 0, 324736234800354719146770769870848, 0, 1370779754437692876673343488440320, 0, 9713625061040010654227678287303224, 0, 107293951256858262786268819668282240, 0, 843883600124773014984183722901848064, 0, 3611513413781660868831833339912956416, 0, 8059802670141974643924118929526211328, 0, 1807044796763082379852093773117381120, 0, -13116941800685129785133852365334806528, 0, 11191552011378488072896490768607944704, 0, 143441754777668504442091563941171970524, 0, -232201756905484649756124384896228260736, 0, 184920125174593728855245251718487400448, 0, -12617338544788834820310033756721947136, 0, -13574660258079012673934363234490124032, 0, 1314036375758606810767032423993021696, 0, 16278034924390172097656106320616161280, 0, 4124800558566869870631394536041560064, 0, 455589698673464112740556262625107976, 0, 175497289851585956909976186642190208, 0, 322899145487688699520114901713780736, 0, 113097533615020011618575743094303232, 0, 20317245753403093922465993390498048, 0, 1580959132058704642212893997355008, 0, 1110173011882297710565310727913472, 0, 412469989521205951415396838899712, 0, 80032956956951599990681479587718, 0, 4306072356849969782683835916672, 0, 1549438893082502781449768394752, 0, 603051542926604639784521611776, 0, 125049622136305686165488119040, 0, 5034693591336928223830975744, 0, 1030217931871959287460102144, 0, 418606125852303951590729728, 0, 92697128285555124940618888, 0, 2824821541085539123435136, 0, 330210444419387362721792, 0, 139705043318958653558272, 0, 33220702467414141222144, 0, 759303593232655151616, 0, 52662626620023603200, 0, 22540913877823021056, 0, 5680282509332767068, 0, 108175181341050240, 0, 3720165419458560, 0, 1579640113699328, 0, 446227961071360, 0, 7347792239360, 0, 82510086144, 0, 34844108800, 0, 14612910264, 0, 161525376, 0, 524288, 0, 220672, 0, 204544, 0, 1024, 0, 0, 0, 0, 0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 1443142566752, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 32, 7, 1, 8, 0], [1, 1, 96, 16, -1, 8, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '864.2.v.a', 'level': 864, 'level_is_powerful': True, '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, 3], 'level_radical': 6, 'minimal_twist': '864.2.v.a', 'prim_orbit_index': 7, 'related_objects': [], 'relative_dim': 32, 'rm_discs': [], 'sato_tate_group': '1.2.3.c8', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '864.2.v', 'trace_display': [0, 0, 0, 0], 'traces': [128, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 88, 0, 0, -64, 0, 0, 64, 0, 0, -32, 0, 0, -96, 0, 0, 64, 0, 0, 48, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 40, 0, 0, -48, 0, 0, 24, 0, 0, 0, 0, 0, -48, 0, 0, -48, 0, 0, 168, 0, 0, 0, 0, 0, -16, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, -120, 0, 0, 64, 0, 0, 64, 0, 0, 0, 0, 0, -160, 0, 0, -64, 0, 0, -40, 0, 0, 0, 0, 0, -64, 0, 0, -80, 0, 0, -224, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -32, 0, 0, 128, 0, 0, -160, 0, 0, -128, 0, 0, -64, 0, 0, 0, 0, 0, -256, 0, 0, -128, 0, 0, -192, 0, 0, 128, 0, 0, 128, 0, 0, -128, 0, 0, -200, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 56, 0, 0, 32, 0, 0, -256, 0, 0, 64, 0, 0, -40, 0, 0, 0, 0, 0, -104, 0, 0, 96, 0, 0, -248, 0, 0, 128, 0, 0, 24, 0, 0, -256, 0, 0, 56, 0, 0, 64, 0, 0, -16, 0, 0, 0, 0, 0, 328, 0, 0, -128, 0, 0, 40, 0, 0, -144, 0, 0, 96, 0, 0, -128, 0, 0, 288, 0, 0, -192, 0, 0, -88, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, -16, 0, 0, -128, 0, 0, 184, 0, 0, 0, 0, 0, 352, 0, 0, -96, 0, 0, 48, 0, 0, 0, 0, 0, 352, 0, 0, 192, 0, 0, 392, 0, 0, 32, 0, 0, 120, 0, 0, -48, 0, 0, 256, 0, 0, -64, 0, 0, 224, 0, 0, 0, 0, 0, -48, 0, 0, 96, 0, 0, 360, 0, 0, 224, 0, 0, -40, 0, 0, 0, 0, 0, -168, 0, 0, 96, 0, 0, 368, 0, 0, 96, 0, 0, -32, 0, 0, 80, 0, 0, -240, 0, 0, -64, 0, 0, 280, 0, 0, 160, 0, 0, -280, 0, 0, -96, 0, 0, -32, 0, 0, -192, 0, 0, 352, 0, 0, 0, 0, 0, -272, 0, 0, 64, 0, 0, -160, 0, 0, 256, 0, 0, 64, 0, 0, 304, 0, 0, -480, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -224, 0, 0, -96, 0, 0, -704, 0, 0, 448, 0, 0, 40, 0, 0, 0, 0, 0, -384, 0, 0, 304, 0, 0, -472, 0, 0, 0, 0, 0, -96, 0, 0, 240, 0, 0, -560, 0, 0, 0, 0, 0, -288, 0, 0, 384, 0, 0, -112, 0, 0, 0, 0, 0, -648, 0, 0, 64, 0, 0, -192, 0, 0, 0, 0, 0, 376, 0, 0, -80, 0, 0, -320, 0, 0, -128, 0, 0, 120, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, -424, 0, 0, 0, 0, 0, 400, 0, 0, -128, 0, 0, 136, 0, 0, -32, 0, 0, -280, 0, 0, 0, 0, 0, 712, 0, 0, 192, 0, 0, 360, 0, 0, -128, 0, 0, 424, 0, 0, 128, 0, 0, 672, 0, 0, -64, 0, 0, 176, 0, 0, 256, 0, 0, 336, 0, 0, -384, 0, 0, 736, 0, 0, 208, 0, 0, -64, 0, 0, 0, 0, 0, 200, 0, 0, -416, 0, 0, 600, 0, 0, 160, 0, 0, 72, 0, 0, -112, 0, 0, 640, 0, 0, 256, 0, 0, 616, 0, 0, 0, 0, 0, -312, 0, 0, 128, 0, 0, 648, 0, 0, -384, 0, 0, 104, 0, 0, 0, 0, 0, -16, 0, 0, 64, 0, 0, 200, 0, 0, -128, 0, 0, -344, 0, 0, -160, 0, 0, 32, 0, 0, 0, 0, 0, 424, 0, 0, -224, 0, 0, -376, 0, 0, 0, 0, 0, 16, 0, 0, 160, 0, 0, -96, 0, 0, 0, 0, 0, -800, 0, 0, -512, 0, 0, -48, 0, 0, -256, 0, 0, -168, 0, 0, -336, 0, 0, -928, 0, 0, -256, 0, 0, -24, 0, 0, 0, 0, 0, -456, 0, 0, -256, 0, 0, -1032, 0, 0, -448, 0, 0, 264, 0, 0, 256, 0, 0, -528, 0, 0, -480, 0, 0, -856, 0, 0, -128, 0, 0, 128, 0, 0, 16, 0, 0, -904, 0, 0, -256, 0, 0, -192, 0, 0, -384, 0, 0, -40, 0, 0, -416, 0, 0, -728, 0, 0, 64, 0, 0, -304, 0, 0, 0, 0, 0, 224, 0, 0, 48, 0, 0, -792, 0, 0, 0, 0, 0, 32, 0, 0, -448, 0, 0, 288, 0, 0, 0, 0, 0, -376, 0, 0, 0, 0, 0, 320, 0, 0, 256, 0, 0, 80, 0, 0, 128, 0, 0, -224, 0, 0, 0, 0, 0, 776, 0, 0, -304, 0, 0, 200, 0, 0, -96, 0, 0, -272, 0, 0, 64, 0, 0, 680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, -32, 0, 0, 888, 0, 0, -16, 0, 0, 80, 0, 0, 0, 0, 0, 528, 0, 0, 336, 0, 0, 512, 0, 0, -160, 0, 0, 80, 0, 0, -176, 0, 0, 696, 0, 0, 0, 0, 0, 648, 0, 0, 0, 0, 0, -32, 0, 0, -192, 0, 0, 888, 0, 0, 592, 0, 0, 480, 0, 0, 128, 0, 0, -360, 0, 0, 16, 0, 0, 744, 0, 0, -96, 0, 0, -264, 0, 0, 352, 0, 0, -176, 0, 0, -256, 0, 0, 544, 0, 0, 288, 0, 0, -448, 0, 0, -160, 0, 0, -472], 'weight': 2, '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], [-0.5600133956999023, 0.8284835524237428], [0.0, 0.0], [-0.37276999327332944, -0.9279237749486764], [0.9721789197228734, -0.4026896936024386], [0.0, 0.0], [-0.43027631907739333, 0.43027631907739333], [0.9775257751959561, 0.21081593589561748], [0.0, 0.0], [-0.2108114301816921, 1.0309458677311378], [-0.35041281002672764, -0.8459713583957927], [0.0, 0.0], [1.4691248248761688, 0.6085314272827073], [-0.11551635081726505, -0.5974373558888364], [0.0, 0.0], [-0.7220850642300038, 0.6918042786915611], [0.0, -0.33276816960141364], [0.0, 0.0], [-0.09989821591488209, -0.04137919588881993], [-0.7360644699860689, -0.7519972987393548], [0.0, 0.0], [0.8971092238922982, 0.1834440434143574], [-0.18774624326411044, -0.18774624326411044], [0.0, 0.0], [0.07586608143335974, -0.07586608143335974], [-1.3268878605225953, 0.8763600028846203], [0.0, 0.0], [0.5596577268374688, 0.23886952570116315], [0.40647476329248045, -0.9813168863030999], [0.0, 0.0], [0.6550008904936662, 0.0], [-0.16877115758870315, -0.9856552624351829], [0.0, 0.0], [0.27569295528492577, 0.18635463263932864], [-0.245037727969334, 0.5915734061566552], [0.0, 0.0], [1.716828929395901, -0.7111338268302629], [0.09022632232526259, -0.05959112480092611], [0.0, 0.0], [1.0352233567635865, -0.18868874608277791], [0.5277671115281869, 0.5277671115281869], [0.0, 0.0], [-0.044350582420112736, -0.10707177757778193], [-0.6543735555445319, 0.6405091150490035], [0.0, 0.0], [0.2606850857938968, -0.05040426335342804], [0.0, -1.3354717845488076], [0.0, 0.0], [0.0, 0.6297245784824184], [0.020367778772437745, 0.10533982253631993], [0.0, 0.0], [0.017025128092305015, -1.590078109424692], [0.03842499887435046, 0.09276615341662779], [0.0, 0.0], [-0.681327894217681, -0.681327894217681], [-0.5113152972546134, 0.32989708745456947], [0.0, 0.0], [0.5853735875600624, 0.886308257619408], [1.2382657390577694, -0.512906462939672], [0.0, 0.0], [-0.40285017889378, 0.9725663654897913], [-0.3668092728718178, 0.5426574645969076], [0.0, 0.0], [0.9111132823449098, 0.4121560223200489], [1.6733015191860974, 0.0], [0.0, 0.0], [0.24530579725230137, -0.5922205826552507], [-0.30878349611930517, 0.12404598834389712], [0.0, 0.0], [-0.3528844269373838, -0.5342987593334225], [0.4191797874432151, -0.4191797874432151], [0.0, 0.0], [-0.5611818860562979, -0.5611818860562979], [-0.3722845194857991, 1.820608999490049], [0.0, 0.0], [-0.0011576823788863335, 0.1081228521955065], [0.5147757761913102, 0.2132271080795777], [0.0, 0.0], [0.0, 1.6090150914771217], [-0.423413424671986, 0.963333749587701], [0.0, 0.0], [-0.7328030236769191, 0.14168971914566103], [0.8643825836911225, 0.3580389892439598], [0.0, 0.0], [-0.13400231225743758, -0.32351019964126027], [0.11354412691432135, 0.023217901669481313], [0.0, 0.0], [-0.16419331009887436, -0.9008314124050211], [-0.15316646172695575, 0.15316646172695575], [0.0, 0.0], [-0.8939662844870537, 0.3702929593388222], [-0.10422803694341055, 0.2442003686207212], [0.0, 0.0], [1.1064164082246715, 0.7478820889265859], [-0.1137819153443566, 0.0], [0.0, 0.0], [0.9130306306051614, 0.0], [-0.5217164558296581, -0.35265419955162874], [0.0, 0.0], [-0.09867853933979424, -0.04211734200861949], [-1.4366151187752947, 0.5950654661069619], [0.0, 0.0], [-0.7327638506740993, 0.7327638506740993], [1.3078192609322001, 0.9045700800893846], [0.0, 0.0], [-0.09837374642668364, -0.020115809011563627], [0.41535516786964366, 1.0027560794726473], [0.0, 0.0], [0.9814628269171652, 0.40653521387412744], [0.9460217017927598, -0.18291620654094515], [0.0, 0.0], [0.013029104940253096, -0.6083631020550453], [0.0, -1.9763007914150115], [0.0, 0.0], [-0.2581264171335642, -0.10691946278349715], [-1.0621088643375696, -0.011372107669517064], [0.0, 0.0], [-0.2685108328312342, 1.3131172883264641], [0.143182263122218, 0.143182263122218], [0.0, 0.0], [0.1142283793913523, -0.1142283793913523], [-0.5801537408082117, -0.8784049401859093], [0.0, 0.0], [-0.24416467754334872, -0.6077908989016273], [-0.35948477759816466, 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0.23604058381169968], [-1.4037384626197669, 0.927116962744843], [0.0, 0.0], [-0.534367100011446, 0.7725831322371346]], 'angles': [None, None, -0.22431949580295493, -0.4242031282811351, -0.4868122715695402, -0.041213195832331136, -0.47339542164283754, -0.19610883375453073, -0.146191436912711, -0.3483922650220589, -0.1968968535498152, -0.1227740975229648, -0.06413237206626976, -0.07172769328613615, -0.3836317792432273, -0.05450631651161894, -0.1956160410422767, 0.1507197502924674, -0.3855732853510628, -0.3271061147961885, -0.18994236504544393, 0.14878534188730175, -0.11002328995291642, -0.39227116104176024, -0.17454868127607673, -0.45425382976456596, -0.46168811704094065, 0.028796635964740958, -0.09837742901973649, -0.2745254418012767, -0.38439200301235826, 0.21808050544750868, -0.026315543497673108, -0.40965265022464387, -0.4592866700809873, -0.17438476769094355, -0.3814346716927993, 0.1677954762735263, -0.3102360368606828, -0.2986838414376887, -0.20224490644717588, -0.44164006285524016, -0.27055752236605624, -0.17855983940249542, -0.4173053667677992, -0.22666798056354526, -0.1531907551493763, -0.3414902872178105, -0.40580078408236203, -0.4176542404480511, -0.16196882869644688, 0.028147412165491027, -0.48216527360767664, -0.4205074559994373, -0.25125312261955857, -0.369884767099634, -0.12396779182046323, -0.47181903876210063, -0.02803380286124187, -0.4836474055039319, 0.37652447506521575, -0.35679560497218904, -0.10995007047569597, -0.12972221693201763, -0.4698844891989687, 0.20495266443492235, 0.06830901159689481, -0.47732297030926096, -0.46774430376055254, 0.13498235957733648, -0.2065472280553561, -0.35290381154228606, 0.07170934591881027, -0.45659209373631926, -0.3636648246495999, -0.4008226300731146, -0.38634143097772344, -0.14604223153372015, 0.037952903398602286, -0.373008742763174, 0.1986564153845141, -0.1874185469426329, 0.008356522356007683, 0.0062553136542159065, -0.08200000697394985, -0.2512374396042334, -0.23884217800620927, -0.12720890195965814, -0.2685641317496592, 0.10586826906898465, -0.17077857709756727, -0.14877292054090496, -0.17719365190292855, 0.09409274718365224, -0.028444189637082604, -0.2106687851115005, -0.44288569737383543, -0.1241942806268424, 0.06035821637135462, 0.14448528008944156, -0.32880302513480125, -0.2975908307890709, -0.09539124492207234, -0.3943851068704714, -0.22953414555424922, -0.3856937903032045, -0.4673509459879183, -0.46230936638031533, -0.10830827304888783, 0.28278644102468586, -0.2090800364325792, -0.2598367941788436, -0.2471387963333765, -0.3662313358880465, -0.15294117104339167, -0.30219415525717913, -0.3864921174422004, -0.22827360669399838, -0.24565034102501473, -0.06368253980572273, -0.4905099210271883, -0.2371598188578042, -0.13843952103409518, -0.11199104037141643, -0.20444531417611367, -0.43759358017972444, -0.4042475183271233, 0.023368221368392082, -0.1717388541633345, 0.17117916415803044, -0.491333820184956, -0.445414367002699, 0.04986507449292938, -0.031045321188503436, -0.32658615534896024, -0.28124887895283757, -0.3717715589602897, -0.07929344682500276, -0.2911839092100724, -0.012586900087344094, 0.03847871641168617, 0.04823939559998604, -0.18408254937707297, -0.2540005583662502, -0.33898620551199193, -0.3428300323836991, -0.08526851278988122, -0.4516886115123707, -0.3281715685168512, -0.2794184596828444, -0.2112452872781344, 0.1572602941079939, -0.09920447823747258, -0.033060178281630756, -0.41492261405862607, 0.04121937509279315, -0.1346123419514596, -0.2040289817735487, -0.09979177815658082, -0.03954963895111873, -0.3308442399019132, -0.21899358523046694, -0.18031580677721828, -0.040233985229320715, -0.4777150391695605, -0.12709758157323098, -0.2051422152563377, -0.36239707507821894], 'char_orbit_index': 22, 'conrey_index': 109, 'dual_conrey_index': 325, 'dual_embedding_index': 11, 'dual_embedding_m': 43, 'embedding_index': 11, 'embedding_m': 11, 'hecke_orbit': 1, 'hecke_orbit_code': 1443142566752, 'label': '864.2.v.a.109.11', 'level': 864, 'weight': 2}
• mf_newspaces •

  Column	Type
  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_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

  
  {'Nk2': 3456, 'analytic_conductor': 6.899074734638625, 'char_conductor': 32, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 8, 'char_parity': 1, 'char_values': [864, 8, [703, 325, 353], [8, 7, 8]], 'conrey_index': 109, 'cusp_dim': 552, 'dim': 256, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 1443142566752, 'hecke_orbit_dims': [128, 128], 'label': '864.2.v', 'level': 864, 'level_is_powerful': True, '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, 3], 'level_radical': 6, 'mf_dim': 600, 'mf_new_dim': 256, 'num_forms': 2, 'prim_orbit_index': 7, 'relative_dim': 64, 'sturm_bound': 288, 'trace_bound': 10, 'trace_display': [0, 0, 0, 0], 'traces': [256, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 8, 0, 0, -32, 0, 0, 32, 0, 0, 32, 0, 0, -48, 0, 0, 128, 0, 0, -48, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -40, 0, 0, 48, 0, 0, -24, 0, 0, 0, 0, 0, -240, 0, 0, 48, 0, 0, 24, 0, 0, 0, 0, 0, 16, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -264, 0, 0, 32, 0, 0, 128, 0, 0, 0, 0, 0, -128, 0, 0, -128, 0, 0, -344, 0, 0, 0, 0, 0, -128, 0, 0, 80, 0, 0, -160, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 80, 0, 0, 64, 0, 0, -80, 0, 0, -64, 0, 0, -32, 0, 0, 0, 0, 0, -32, 0, 0, -64, 0, 0, -240, 0, 0, 64, 0, 0, 64, 0, 0, -64, 0, 0, 56, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 184, 0, 0, -32, 0, 0, 64, 0, 0, 128, 0, 0, 40, 0, 0, 0, 0, 0, 104, 0, 0, -96, 0, 0, 8, 0, 0, 256, 0, 0, 72, 0, 0, -224, 0, 0, 328, 0, 0, -64, 0, 0, 304, 0, 0, 0, 0, 0, 296, 0, 0, -64, 0, 0, 344, 0, 0, -432, 0, 0, 288, 0, 0, -256, 0, 0, 384, 0, 0, -384, 0, 0, 88, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 496, 0, 0, 0, 0, 0, 160, 0, 0, -256, 0, 0, -184, 0, 0, 0, 0, 0, 320, 0, 0, 96, 0, 0, 96, 0, 0, 0, 0, 0, -16, 0, 0, 96, 0, 0, 520, 0, 0, -32, 0, 0, -24, 0, 0, -336, 0, 0, -64, 0, 0, 64, 0, 0, 16, 0, 0, 0, 0, 0, -192, 0, 0, -96, 0, 0, -120, 0, 0, -32, 0, 0, 136, 0, 0, 0, 0, 0, -408, 0, 0, -96, 0, 0, 16, 0, 0, -96, 0, 0, 32, 0, 0, -80, 0, 0, -816, 0, 0, 64, 0, 0, 56, 0, 0, -160, 0, 0, -56, 0, 0, -288, 0, 0, -352, 0, 0, -96, 0, 0, 416, 0, 0, 0, 0, 0, -64, 0, 0, 32, 0, 0, -416, 0, 0, 128, 0, 0, 464, 0, 0, -16, 0, 0, -288, 0, 0, 0, 0, 0, -440, 0, 0, 0, 0, 0, -16, 0, 0, 96, 0, 0, -688, 0, 0, 512, 0, 0, -136, 0, 0, 0, 0, 0, 48, 0, 0, 80, 0, 0, -104, 0, 0, 0, 0, 0, 48, 0, 0, 144, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 112, 0, 0, 0, 0, 0, 72, 0, 0, 32, 0, 0, -288, 0, 0, 0, 0, 0, 872, 0, 0, 272, 0, 0, 272, 0, 0, -256, 0, 0, -24, 0, 0, 352, 0, 0, 672, 0, 0, 0, 0, 0, -296, 0, 0, 0, 0, 0, 464, 0, 0, -256, 0, 0, 824, 0, 0, 224, 0, 0, -152, 0, 0, 0, 0, 0, 488, 0, 0, 192, 0, 0, 840, 0, 0, -256, 0, 0, 440, 0, 0, 448, 0, 0, 576, 0, 0, 64, 0, 0, 544, 0, 0, 512, 0, 0, -288, 0, 0, -384, 0, 0, 512, 0, 0, -16, 0, 0, 160, 0, 0, 0, 0, 0, -440, 0, 0, -64, 0, 0, 312, 0, 0, -160, 0, 0, -216, 0, 0, 112, 0, 0, -112, 0, 0, 128, 0, 0, 824, 0, 0, 0, 0, 0, -792, 0, 0, 256, 0, 0, -72, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, -320, 0, 0, 512, 0, 0, -536, 0, 0, -64, 0, 0, -472, 0, 0, 160, 0, 0, -512, 0, 0, 0, 0, 0, -232, 0, 0, 224, 0, 0, -584, 0, 0, 0, 0, 0, -592, 0, 0, 224, 0, 0, -624, 0, 0, 0, 0, 0, -832, 0, 0, -736, 0, 0, -240, 0, 0, -128, 0, 0, -72, 0, 0, 48, 0, 0, -992, 0, 0, -128, 0, 0, -168, 0, 0, 0, 0, 0, -24, 0, 0, -128, 0, 0, -984, 0, 0, -320, 0, 0, 24, 0, 0, 128, 0, 0, 48, 0, 0, -96, 0, 0, -728, 0, 0, -64, 0, 0, 448, 0, 0, -112, 0, 0, 88, 0, 0, -128, 0, 0, -192, 0, 0, -192, 0, 0, 232, 0, 0, 32, 0, 0, 8, 0, 0, 416, 0, 0, -464, 0, 0, 0, 0, 0, 688, 0, 0, -144, 0, 0, -216, 0, 0, 0, 0, 0, -128, 0, 0, -224, 0, 0, 1200, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 160, 0, 0, 128, 0, 0, 688, 0, 0, -128, 0, 0, -16, 0, 0, 0, 0, 0, 280, 0, 0, -80, 0, 0, 952, 0, 0, 96, 0, 0, -976, 0, 0, -256, 0, 0, 232, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 696, 0, 0, 16, 0, 0, 400, 0, 0, 0, 0, 0, -288, 0, 0, -144, 0, 0, 208, 0, 0, 160, 0, 0, -32, 0, 0, -784, 0, 0, -456, 0, 0, 0, 0, 0, 648, 0, 0, 0, 0, 0, -640, 0, 0, 192, 0, 0, -216, 0, 0, -16, 0, 0, 336, 0, 0, 256, 0, 0, -1320, 0, 0, -400, 0, 0, -312, 0, 0, 96, 0, 0, -552, 0, 0, 416, 0, 0, -880, 0, 0, -128, 0, 0, -256, 0, 0, -288, 0, 0, -176, 0, 0, 160, 0, 0, -1784], 'weight': 2, '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: 17083209
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 109, 'source_dim': 128, 'source_embedding_index': 11, 'source_hecke_orbit_code': 1443142566752, 'source_is_minimal': True, 'source_label': '864.2.v.a.109.11', 'source_level': 864, 'target_conrey_index': 109, 'target_dim': 128, 'target_embedding_index': 11, 'target_hecke_orbit_code': 1443142566752, 'target_is_minimal': True, 'target_label': '864.2.v.a.109.11', 'target_level': 864, 'twist_class_label': '864.2.v.a.109.11', 'twist_class_level': 864, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 17083210
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 109, 'source_dim': 128, 'source_embedding_index': 11, 'source_hecke_orbit_code': 1443142566752, 'source_is_minimal': True, 'source_label': '864.2.v.a.109.11', 'source_level': 864, 'target_conrey_index': 109, 'target_dim': 128, 'target_embedding_index': 22, 'target_hecke_orbit_code': 1443142566752, 'target_is_minimal': True, 'target_label': '864.2.v.a.109.22', 'target_level': 864, 'twist_class_label': '864.2.v.a.109.11', 'twist_class_level': 864, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 17083211
    {'conductor': 32, 'degree': 4, 'order': 8, 'parity': 1, 'source_conrey_index': 109, 'source_dim': 128, 'source_embedding_index': 11, 'source_hecke_orbit_code': 1443142566752, 'source_is_minimal': True, 'source_label': '864.2.v.a.109.11', 'source_level': 864, 'target_conrey_index': 325, 'target_dim': 128, 'target_embedding_index': 11, 'target_hecke_orbit_code': 1443142566752, 'target_is_minimal': True, 'target_label': '864.2.v.a.325.11', 'target_level': 864, 'twist_class_label': '864.2.v.a.109.11', 'twist_class_level': 864, 'twisting_char_label': '32.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 17083212
    {'conductor': 96, 'degree': 4, 'order': 8, 'parity': -1, 'source_conrey_index': 109, 'source_dim': 128, 'source_embedding_index': 11, 'source_hecke_orbit_code': 1443142566752, 'source_is_minimal': True, 'source_label': '864.2.v.a.109.11', 'source_level': 864, 'target_conrey_index': 325, 'target_dim': 128, 'target_embedding_index': 22, 'target_hecke_orbit_code': 1443142566752, 'target_is_minimal': True, 'target_label': '864.2.v.a.325.22', 'target_level': 864, 'twist_class_label': '864.2.v.a.109.11', 'twist_class_level': 864, 'twisting_char_label': '96.5', 'twisting_conrey_index': 5, 'weight': 2}
• hecke_orbit_code 1443142566752 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 22, 'hecke_orbit': 1, 'label': '864.2.v.a', 'level': 864, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 13068282
    {'hecke_orbit_code': 1443142566752, 'n': 1, 'trace_an': 128}
  • id: 13068283
    {'hecke_orbit_code': 1443142566752, 'n': 2, 'trace_an': 0}
  • id: 13068284
    {'hecke_orbit_code': 1443142566752, 'n': 3, 'trace_an': 0}
  • id: 13068285
    {'hecke_orbit_code': 1443142566752, 'n': 4, 'trace_an': 0}
  • id: 13068286
    {'hecke_orbit_code': 1443142566752, 'n': 5, 'trace_an': 0}
  • id: 13068287
    {'hecke_orbit_code': 1443142566752, 'n': 6, 'trace_an': 0}
  • id: 13068288
    {'hecke_orbit_code': 1443142566752, 'n': 7, 'trace_an': 0}
  • id: 13068289
    {'hecke_orbit_code': 1443142566752, 'n': 8, 'trace_an': 0}
  • id: 13068290
    {'hecke_orbit_code': 1443142566752, 'n': 9, 'trace_an': 0}
  • id: 13068291
    {'hecke_orbit_code': 1443142566752, 'n': 10, 'trace_an': -8}
  • id: 13068292
    {'hecke_orbit_code': 1443142566752, 'n': 11, 'trace_an': 0}
  • id: 13068293
    {'hecke_orbit_code': 1443142566752, 'n': 12, 'trace_an': 0}
  • id: 13068294
    {'hecke_orbit_code': 1443142566752, 'n': 13, 'trace_an': 0}
  • id: 13068295
    {'hecke_orbit_code': 1443142566752, 'n': 14, 'trace_an': 0}
  • id: 13068296
    {'hecke_orbit_code': 1443142566752, 'n': 15, 'trace_an': 0}
  • id: 13068297
    {'hecke_orbit_code': 1443142566752, 'n': 16, 'trace_an': -32}
  • id: 13068298
    {'hecke_orbit_code': 1443142566752, 'n': 17, 'trace_an': 0}
  • id: 13068299
    {'hecke_orbit_code': 1443142566752, 'n': 18, 'trace_an': 0}
  • id: 13068300
    {'hecke_orbit_code': 1443142566752, 'n': 19, 'trace_an': 0}
  • id: 13068301
    {'hecke_orbit_code': 1443142566752, 'n': 20, 'trace_an': 0}
  • id: 13068302
    {'hecke_orbit_code': 1443142566752, 'n': 21, 'trace_an': 0}
  • id: 13068303
    {'hecke_orbit_code': 1443142566752, 'n': 22, 'trace_an': 32}
  • id: 13068304
    {'hecke_orbit_code': 1443142566752, 'n': 23, 'trace_an': 0}
  • id: 13068305
    {'hecke_orbit_code': 1443142566752, 'n': 24, 'trace_an': 0}
  • id: 13068306
    {'hecke_orbit_code': 1443142566752, 'n': 25, 'trace_an': 0}
  • id: 13068307
    {'hecke_orbit_code': 1443142566752, 'n': 26, 'trace_an': 0}
  • id: 13068308
    {'hecke_orbit_code': 1443142566752, 'n': 27, 'trace_an': 0}
  • id: 13068309
    {'hecke_orbit_code': 1443142566752, 'n': 28, 'trace_an': 0}
  • id: 13068310
    {'hecke_orbit_code': 1443142566752, 'n': 29, 'trace_an': 0}
  • id: 13068311
    {'hecke_orbit_code': 1443142566752, 'n': 30, 'trace_an': 0}
  • id: 13068312
    {'hecke_orbit_code': 1443142566752, 'n': 31, 'trace_an': 0}
  • id: 13068313
    {'hecke_orbit_code': 1443142566752, 'n': 32, 'trace_an': 0}
  • id: 13068314
    {'hecke_orbit_code': 1443142566752, 'n': 33, 'trace_an': 0}
  • id: 13068315
    {'hecke_orbit_code': 1443142566752, 'n': 34, 'trace_an': 0}
  • id: 13068316
    {'hecke_orbit_code': 1443142566752, 'n': 35, 'trace_an': 0}
  • id: 13068317
    {'hecke_orbit_code': 1443142566752, 'n': 36, 'trace_an': 0}
  • id: 13068318
    {'hecke_orbit_code': 1443142566752, 'n': 37, 'trace_an': 0}
  • id: 13068319
    {'hecke_orbit_code': 1443142566752, 'n': 38, 'trace_an': 0}
  • id: 13068320
    {'hecke_orbit_code': 1443142566752, 'n': 39, 'trace_an': 0}
  • id: 13068321
    {'hecke_orbit_code': 1443142566752, 'n': 40, 'trace_an': 64}
  • id: 13068322
    {'hecke_orbit_code': 1443142566752, 'n': 41, 'trace_an': 0}
  • id: 13068323
    {'hecke_orbit_code': 1443142566752, 'n': 42, 'trace_an': 0}
  • id: 13068324
    {'hecke_orbit_code': 1443142566752, 'n': 43, 'trace_an': 0}
  • id: 13068325
    {'hecke_orbit_code': 1443142566752, 'n': 44, 'trace_an': 0}
  • id: 13068326
    {'hecke_orbit_code': 1443142566752, 'n': 45, 'trace_an': 0}
  • id: 13068327
    {'hecke_orbit_code': 1443142566752, 'n': 46, 'trace_an': 64}
  • id: 13068328
    {'hecke_orbit_code': 1443142566752, 'n': 47, 'trace_an': 0}
  • id: 13068329
    {'hecke_orbit_code': 1443142566752, 'n': 48, 'trace_an': 0}
  • id: 13068330
    {'hecke_orbit_code': 1443142566752, 'n': 49, 'trace_an': 0}
  • id: 13068331
    {'hecke_orbit_code': 1443142566752, 'n': 50, 'trace_an': 0}
  • id: 13068332
    {'hecke_orbit_code': 1443142566752, 'n': 51, 'trace_an': 0}
  • id: 13068333
    {'hecke_orbit_code': 1443142566752, 'n': 52, 'trace_an': 88}
  • id: 13068334
    {'hecke_orbit_code': 1443142566752, 'n': 53, 'trace_an': 0}
  • id: 13068335
    {'hecke_orbit_code': 1443142566752, 'n': 54, 'trace_an': 0}
  • id: 13068336
    {'hecke_orbit_code': 1443142566752, 'n': 55, 'trace_an': -64}
  • id: 13068337
    {'hecke_orbit_code': 1443142566752, 'n': 56, 'trace_an': 0}
  • id: 13068338
    {'hecke_orbit_code': 1443142566752, 'n': 57, 'trace_an': 0}
  • id: 13068339
    {'hecke_orbit_code': 1443142566752, 'n': 58, 'trace_an': 64}
  • id: 13068340
    {'hecke_orbit_code': 1443142566752, 'n': 59, 'trace_an': 0}
  • id: 13068341
    {'hecke_orbit_code': 1443142566752, 'n': 60, 'trace_an': 0}
  • id: 13068342
    {'hecke_orbit_code': 1443142566752, 'n': 61, 'trace_an': -32}
  • id: 13068343
    {'hecke_orbit_code': 1443142566752, 'n': 62, 'trace_an': 0}
  • id: 13068344
    {'hecke_orbit_code': 1443142566752, 'n': 63, 'trace_an': 0}
  • id: 13068345
    {'hecke_orbit_code': 1443142566752, 'n': 64, 'trace_an': -96}
  • id: 13068346
    {'hecke_orbit_code': 1443142566752, 'n': 65, 'trace_an': 0}
  • id: 13068347
    {'hecke_orbit_code': 1443142566752, 'n': 66, 'trace_an': 0}
  • id: 13068348
    {'hecke_orbit_code': 1443142566752, 'n': 67, 'trace_an': 64}
  • id: 13068349
    {'hecke_orbit_code': 1443142566752, 'n': 68, 'trace_an': 0}
  • id: 13068350
    {'hecke_orbit_code': 1443142566752, 'n': 69, 'trace_an': 0}
  • id: 13068351
    {'hecke_orbit_code': 1443142566752, 'n': 70, 'trace_an': 48}
  • id: 13068352
    {'hecke_orbit_code': 1443142566752, 'n': 71, 'trace_an': 0}
  • id: 13068353
    {'hecke_orbit_code': 1443142566752, 'n': 72, 'trace_an': 0}
  • id: 13068354
    {'hecke_orbit_code': 1443142566752, 'n': 73, 'trace_an': 0}
  • id: 13068355
    {'hecke_orbit_code': 1443142566752, 'n': 74, 'trace_an': 0}
  • id: 13068356
    {'hecke_orbit_code': 1443142566752, 'n': 75, 'trace_an': 0}
  • id: 13068357
    {'hecke_orbit_code': 1443142566752, 'n': 76, 'trace_an': 32}
  • id: 13068358
    {'hecke_orbit_code': 1443142566752, 'n': 77, 'trace_an': 0}
  • id: 13068359
    {'hecke_orbit_code': 1443142566752, 'n': 78, 'trace_an': 0}
  • id: 13068360
    {'hecke_orbit_code': 1443142566752, 'n': 79, 'trace_an': 0}
  • id: 13068361
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  • id: 13068362
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  • id: 13068363
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  • id: 13068364
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  • id: 13068365
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  • id: 13068366
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  • id: 13068367
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  • id: 13068368
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  • id: 13068369
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  • id: 13068370
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  • id: 13068371
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  • id: 13068372
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  • id: 13068373
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  • id: 13068374
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  • id: 13068375
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  • id: 13068376
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  • id: 13068377
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  • id: 13068378
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  • id: 13068379
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  • id: 13068380
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  • id: 13068381
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  • id: 13068382
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  • id: 13068383
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  • id: 13068384
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  • id: 13068385
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  • id: 13068386
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  • id: 13068387
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  • id: 13068388
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  • id: 13068389
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  • id: 13068390
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  • id: 13068391
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  • id: 13068392
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  • id: 13068393
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  • id: 13068394
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  • id: 13068395
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  • id: 13068396
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  • id: 13068397
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  • id: 13068398
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  • id: 13068399
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  • id: 13068400
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  • id: 13068401
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  • id: 13068402
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  • id: 13068403
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  • id: 13068404
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  • id: 13068405
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  • id: 13068406
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  • id: 13068407
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  • id: 13068408
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  • id: 13068409
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  • id: 13068410
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  • id: 13068411
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  • id: 13068412
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  • id: 13068413
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  • id: 13068414
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  • id: 13068415
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  • id: 13068416
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  • id: 13068417
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  • id: 13068418
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  • id: 13068419
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  • id: 13068420
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  • id: 13068421
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  • id: 13068422
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  • id: 13068423
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  • id: 13068424
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  • id: 13068425
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  • id: 13068426
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  • id: 13068427
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  • id: 13068428
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  • id: 13068429
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  • id: 13068430
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  • id: 13068431
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  • id: 13068432
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  • id: 13068433
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  • id: 13068434
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  • id: 13068435
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  • id: 13068436
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  • id: 13068437
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  • id: 13068438
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  • id: 13068439
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  • id: 13068440
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  • id: 13068441
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  • id: 13068442
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  • id: 13068443
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  • id: 13068444
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  • id: 13068445
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  • id: 13068446
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  • id: 13068447
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  • id: 13068448
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  • id: 13068449
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  • id: 13068450
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  • id: 13068451
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  • id: 13068452
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  • id: 13068453
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  • id: 13068454
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  • id: 13068455
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  • id: 13068456
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  • id: 13068457
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  • id: 13068458
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  • id: 13068459
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  • id: 13068460
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  • id: 13068461
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  • id: 13068462
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  • id: 13068463
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  • id: 13068464
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  • id: 13068465
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  • id: 13068466
    {'hecke_orbit_code': 1443142566752, 'n': 529, 'trace_an': 0}
  • id: 13068467
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  • id: 13068468
    {'hecke_orbit_code': 1443142566752, 'n': 547, 'trace_an': 320}
  • id: 13068469
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  • id: 13068470
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  • id: 13068471
    {'hecke_orbit_code': 1443142566752, 'n': 569, 'trace_an': 0}
  • id: 13068472
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  • id: 13068473
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  • id: 13068474
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  • id: 13068475
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  • id: 13068476
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  • id: 13068477
    {'hecke_orbit_code': 1443142566752, 'n': 601, 'trace_an': -64}
  • id: 13068478
    {'hecke_orbit_code': 1443142566752, 'n': 607, 'trace_an': 256}
  • id: 13068479
    {'hecke_orbit_code': 1443142566752, 'n': 613, 'trace_an': -384}
  • id: 13068480
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  • id: 13068481
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  • id: 13068482
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  • id: 13068483
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  • id: 13068484
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  • id: 13068485
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  • id: 13068486
    {'hecke_orbit_code': 1443142566752, 'n': 647, 'trace_an': 0}
  • id: 13068487
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  • id: 13068488
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  • id: 13068489
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  • id: 13068490
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  • id: 13068491
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  • id: 13068492
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  • id: 13068493
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  • id: 13068494
    {'hecke_orbit_code': 1443142566752, 'n': 701, 'trace_an': 0}
  • id: 13068495
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  • id: 13068496
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  • id: 13068497
    {'hecke_orbit_code': 1443142566752, 'n': 727, 'trace_an': -512}
  • id: 13068498
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  • id: 13068499
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  • id: 13068500
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  • id: 13068501
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  • id: 13068502
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  • id: 13068503
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  • id: 13068504
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  • id: 13068505
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  • id: 13068506
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  • id: 13068507
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  • id: 13068508
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  • id: 13068509
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  • id: 13068510
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  • id: 13068511
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  • id: 13068512
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  • id: 13068513
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  • id: 13068514
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  • id: 13068515
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  • id: 13068516
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  • id: 13068517
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  • id: 13068518
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  • id: 13068519
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  • id: 13068520
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  • id: 13068521
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  • id: 13068522
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  • id: 13068523
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  • id: 13068524
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  • id: 13068525
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  • id: 13068526
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  • id: 13068527
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  • id: 13068528
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  • id: 13068529
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  • id: 13068530
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  • id: 13068531
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  • id: 13068532
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  • id: 13068533
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  • id: 13068534
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  • id: 13068535
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  • id: 13068536
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  • id: 13068537
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  • id: 13068538
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  • id: 13068539
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