Embedded newform data - 348.2.t.a.35.6

Formats: - HTML - YAML - JSON - 2024-06-16T13:27:20.771008

• 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': 1392, 'analytic_conductor': 2.7787939903405574, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 348, 'char_degree': 6, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 20, 'char_orbit_label': 't', 'char_order': 14, 'char_parity': 1, 'char_values': [348, 14, [175, 233, 205], [7, 7, 3]], 'cm_discs': [], 'conrey_index': 35, 'dim': 336, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1305703612764, 'inner_twist_count': 8, '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], [1, 1, 29, 5, 1, 14, 0], [1, 1, 87, 8, -1, 14, 0], [1, 1, 116, 8, -1, 14, 0], [1, 1, 348, 20, 1, 14, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '348.2.t.a', 'level': 348, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 29], 'level_radical': 174, 'minimal_twist': '348.2.t.a', 'prim_orbit_index': 20, 'related_objects': [], 'relative_dim': 56, 'rm_discs': [], 'sato_tate_group': '1.2.3.c14', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '348.2.t', 'trace_display': [0, 0, 0, 0], 'traces': [336, 0, 0, -10, 0, -3, 0, 0, -10, -14, 0, 0, -20, 0, 0, -26, 0, -56, 0, 0, -14, -40, 0, 3, 40, 0, 0, -36, 0, -6, 0, 0, -22, -8, 0, 9, -28, 0, 0, -14, 0, -74, 0, 0, -22, 0, 0, 14, 4, 0, 0, -4, 0, -31, 0, 0, -12, -106, 0, -42, -28, 0, 0, -94, 0, -7, 0, 0, -14, 0, 0, 70, -28, 0, 0, -84, 0, -9, 0, 0, -50, -46, 0, -35, -168, 0, 0, -60, 0, 119, 0, 0, 122, 36, 0, 2, -28, 0, 0, -134, 0, 56, 0, 0, -154, 70, 0, 112, -20, 0, 0, -64, 0, 259, 0, 0, -12, -98, 0, -30, -88, 0, 0, -14, 0, 112, 0, 0, -98, 98, 0, 153, 0, 0, 0, -98, 0, 149, 0, 0, 30, -140, 0, -64, -52, 0, 0, 210, 0, 56, 0, 0, -140, -44, 0, 203, 0, 0, 0, 42, 0, 0, 0, 0, -122, 126, 0, 38, -132, 0, 0, 364, 0, 249, 0, 0, -56, -44, 0, 43, 68, 0, 0, 126, 0, 0, 0, 0, -14, 138, 0, 259, -28, 0, 0, 298, 0, 114, 0, 0, -154, -236, 0, -136, -112, 0, 0, 106, 0, -123, 0, 0, -14, 294, 0, 162, 28, 0, 0, 0, 0, -224, 0, 0, 6, 94, 0, -15, 196, 0, 0, 466, 0, 168, 0, 0, 2, -168, 0, -7, 136, 0, 0, 0, 0, -196, 0, 0, 0, 672, 0, 51, 28, 0, 0, 22, 0, 133, 0, 0, 2, -216, 0, -378, 236, 0, 0, -108, 0, -56, 0, 0, 0, 190, 0, 28, -132, 0, 0, -196, 0, -245, 0, 0, 0, 24, 0, -455, -128, 0, 0, 140, 0, 49, 0, 0, 66, -14, 0, -189, -28, 0, 0, -210, 0, -428, 0, 0, -14, 142, 0, -400, 216, 0, 0, 28, 0, -350, 0, 0, 70, -364, 0, -258, -12, 0, 0, -132, 0, -497, 0, 0, 378, -14, 0, 0, 28, 0, 0, -448, 0, -73, 0, 0, 532, -308, 0, -444, 112, 0, 0, 302, 0, 52, 0, 0, 32, -154, 0, 0, 36, 0, 0, -656, 0, -392, 0, 0, -28, -572, 0, -186, 300, 0, 0, -292, 0, 46, 0, 0, 290, -278, 0, 137, 196, 0, 0, -434, 0, -411, 0, 0, -78, 0, 0, 203, 76, 0, 0, -86, 0, -96, 0, 0, -300, -344, 0, -364, -84, 0, 0, 78, 0, 56, 0, 0, -14, 0, 0, 539, -28, 0, 0, -350, 0, -111, 0, 0, 258, -188, 0, -28, 28, 0, 0, -80, 0, 413, 0, 0, 154, 58, 0, -1, -28, 0, 0, -490, 0, -126, 0, 0, 238, 378, 0, 434, -136, 0, 0, -92, 0, 630, 0, 0, 236, -434, 0, -195, 180, 0, 0, -126, 0, 112, 0, 0, 146, 546, 0, 766, 0, 0, 0, -92, 0, 600, 0, 0, 366, 28, 0, 176, -448, 0, 0, 672, 0, 501, 0, 0, 406, 56, 0, 679, 0, 0, 0, -196, 0, 0, 0, 0, 230, 462, 0, -12, -12, 0, 0, 770, 0, 560, 0, 0, -322, 62, 0, -253, -252, 0, 0, 532, 0, 0, 0, 0, -14, 1014, 0, 763, -196, 0, 0, 648, 0, 400, 0, 0, 238, 908, 0, -18, -364, 0, 0, 602, 0, -105, 0, 0, -252, 700, 0, 399, -196, 0, 0, 0, 0, -287, 0, 0, -152, -318, 0, -3, -868, 0, 0, 480, 0, 455, 0, 0, 372, 62, 0, -70, 28, 0, 0, 0, 0, -490, 0, 0, 0, 672, 0, 243, -308, 0, 0, 630, 0, 105, 0, 0, -82, -16, 0, -672, -332, 0, 0, -56, 0, -79, 0, 0, 0, 318, 0, 189, -288, 0, 0, -126, 0, -665, 0, 0, 150, -144, 0, -728, 400, 0, 0, 378, 0, 340, 0, 0, -40, -308, 0, -315, -392, 0, 0, -434, 0, -858, 0, 0, -154, 248, 0, -984, -212, 0, 0, 434, 0, -484, 0, 0, -14, -658, 0, -653, 268, 0, 0, 322, 0, -728, 0, 0, -126, 420, 0, 0, -140, 0, 0, -336, 0, -197, 0, 0, -924, -812, 0, -637, -656, 0, 0, 54, 0, 222, 0, 0, -122, -154, 0, 0, -100, 0, 0, -486, 0, -938, 0, 0, -42, -650, 0, -501, 260, 0, 0, -16, 0, 246, 0, 0, -526, -662, 0, -103, -196, 0, 0, -812, 0, -536, 0, 0, -36, 0, 0, 210, -732, 0, 0, -462, 0, -193, 0, 0, 420, -1090, 0, -490, 196, 0, 0, 298, 0, 175, 0, 0, -504, 0, 0, 763, -28, 0, 0, -952, 0, -222, 0, 0, -598, -388, 0, -70, -140, 0, 0, 504, 0, 1071, 0, 0, -354, -290, 0, -56, 28, 0, 0, -518, 0, -91, 0, 0, -294, 182, 0, 581, 584, 0, 0, 72, 0, 945, 0, 0, -252, -658, 0, -192, 172, 0, 0, -56, 0, 294, 0, 0, 8, 420, 0, 1000, 0, 0, 0, -108, 0, 911, 0, 0, -374, -112, 0, 716, 108, 0, 0, 910, 0, 722, 0, 0, -322, -40, 0, 1085, 0, 0, 0, -238, 0, 0, 0, 0, -736, 854, 0, 1, 208, 0, 0, 1078, 0, 1130, 0, 0, 210, -498, 0, -92, 1004, 0, 0, -168, 0, 0, 0, 0, -224, 1184, 0, 931, 252, 0, 0, 808, 0, 537, 0, 0, -294, 596, 0, 46, -112, 0, 0, 540, 0, 103, 0, 0, 378, 1638, 0, 630, 952, 0, 0, 0, 0, -210, 0, 0, 352, 108, 0, -133, 924, 0, 0, 836, 0, 791, 0, 0, -306, -336, 0, -448, -252, 0, 0, 0, 0, -1008, 0, 0, 0, 518, 0, 313, 756, 0, 0, 304, 0, -63, 0, 0, -38, 36, 0, -1015, 412, 0, 0, -140, 0, 160, 0, 0, 0, 926, 0, 308, 324, 0, 0, -112, 0, -679, 0, 0, -106, 0, 0, -1050, -184, 0, 0, 770, 0, 135, 0, 0, 784, -504, 0, -245, 252, 0, 0, -2030], '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], [-0.929444910732401, -0.3689609165123581], [-0.2705036299308023, 0.962718954936621], [0.7277356841727215, 0.685857692223147], [-0.10157585479313201, -0.08100404115050595], [0.6066238901310601, -0.7949889659122694], [-1.0304612788696923, -0.23519606251373576], [-0.4233355452929947, -0.9059729665345886], [-0.8536555723885191, -0.5208379438270889], [0.06452183602667445, 0.11276631427609593], [-0.7359188519147755, -1.52815124214198], [-0.8571433448912077, 0.515077941974525], [1.301137416338331, -0.6265947552893444], [0.870978836567071, 0.5988017212099496], [0.10546076327692443, -0.07587711360296207], [0.05919845203667806, 0.9982462337902713], [1.0398999342829636, 0.0], [0.601256982166009, 0.7990557185807655], [0.08850066257862459, 0.3877467376234609], [-0.018363129459074087, -0.12861611266142975], [0.5051712239458204, -0.9284232168406865], [0.12016794875401607, 1.691857688919458], [0.47346790067013794, 0.5937099685967777], [0.9867111492235, -0.16248417768521298], [-0.21876493436207184, -0.9584718027387022], [-1.44052452497256, 0.10231645275458312], [0.7323374920143046, -0.6809418461147753], [-0.5885924151360912, -0.8779103621190434], [-0.9976159990485917, 0.06900955326822825], [-0.12601565908695309, 0.031612697204590444], [0.9632292334953233, -1.207851254880383], [0.3132921453555416, -0.9496567967737198], [1.6702488875974815, -0.2951125699508805], [-0.9665297015902586, -0.38368243283418313], [0.08561815370611334, 0.10736176893137517], [-0.2640149118445189, -0.9645185982259393], [-0.0038217239829197443, 0.0079358916223265], [0.0608069012580809, -0.39304251751417757], [0.25127225382262125, 1.4221258094875433], [-0.03038680158496118, 0.12631686842660605], [-1.1928386065413579, 0.0], [-0.8120807041417921, 0.6765297961156609], [0.05871648572300549, 0.0736281442635873], [0.5125398751096311, -1.6168257951573637], [0.04452081622976979, 0.12205411046705214], [-0.2210065565170232, -0.7265118593338048], [-0.5373438704291467, -1.1158060442631164], [-0.9770439671261938, -0.21303775792640434], [0.10556439152537735, 0.05083713160848231], [-0.15030867990018826, 0.9715624498189924], [-0.2812967069883444, 1.0011313779715554], [1.3766389607035796, 0.4363997426954655], [-0.5761663863553508, -0.4594773606869301], [-0.9319082825253503, 0.362694021126144], [-0.0490348396610421, 0.21483566963769565], [0.22314961292079416, 1.0331369150916185], [-0.3972308845037415, -0.019685634632080586], [0.9526909412028871, 0.30394073525928883], [0.8738480599012163, 0.0], [0.12878846274499112, 0.017112592540300085], [-0.917765915625649, -0.20947408125925535], [-1.3409184149521676, 0.7672372609683854], [0.757159979241831, 0.737479763048612], [-0.6415740321829656, 0.7670611196172643], [-0.1829208526100425, -0.04175049093812463], [-1.6612893325173275, -0.3419656841377078], [0.08619546745420745, -0.17898673245621624], [0.7567722901465805, 0.7132233690703155], [-0.6996506262899327, 0.29521582089766], [-0.03996506056514331, -0.13137660220199818], [-0.47290680856941275, 0.22773991606829985], [-0.11048234982330585, 0.9938780862749318], [1.1916719708357209, -0.9503266850185356], [0.006480115752465047, -0.0059659072970999335], [0.9819156811153367, 0.04866095284130659], [-0.20153399240208641, 0.3428759975865449], [0.39892072621114705, 1.7477858995839175], [0.2911651245407077, -1.4144972371139133], [-0.9889051233485108, -0.4762316078133712], [0.07484884563222893, -0.10619302833609684], [0.4574556725399404, 0.8892324261187459], [1.1086777721749939, 0.4401108255208235], [0.26486690446481137, 1.160457731256136], [1.0043973311913263, -0.32917113507637313], [-0.10562872472411382, -0.08423609706906561], [-0.027407831242741845, -0.09009739235920712], [0.2034219440166561, -0.979091166691072], [-1.07292310569015, 1.3136433247803], [0.2912087050066763, -0.36516416606049046], [0.003653550395612148, -0.12986901296758602], [-1.488144345261015, 0.339659235756429], [-0.06264106228365802, 0.7567955318923], [0.9022642937013792, 1.2540471898966383], [0.08774270494227288, 1.2353391361206414], [0.02241952223924292, -0.04655461763071727], [0.829505936390972, 0.5584978974822884], [-0.016861781373245472, 0.00384859156503666], [-0.07935937178669958, -0.08619944789800979], [-0.16769792205123124, 1.687809284961822], [0.49817220950634283, -0.8475557461472301], [-0.3368128842368662, -0.4223499980468099], [0.6308281434817651, -0.8267089734078501], [-0.4926314260319651, -1.022959696779318], [-1.1184956269112076, -0.9135354925410425], [-0.12651923135123752, 0.0533844712478234], [0.36598572741733004, 0.6396417724605066], [1.69176952975734, 0.8147132664030831], [0.9999773289108139, 0.006733621937246333], [-0.14750196582012112, 0.6462483372820875], [0.12484114774060523, -0.181585980406169], [-0.006606243079163059, -0.0058259336094694785], [0.17378187101381654, -1.0425773335243118], [0.3234299336356434, -1.4170391267475435], [0.3619409941917528, 0.16485938413683993], [0.0, -0.09865941086874877], [-0.7733314945551772, -0.6340018923702483], [-1.4370775298581568, -0.1427856320799778], [-0.8121936320285676, -0.3224157810736987], [-1.0715766161777314, -0.2445803699516456], [-0.11338790343180977, -0.06342312129662878], [-1.1701798603977818, 1.467359132870498], [0.7757251105149225, 0.5333143721298033], [0.32266717299103737, -1.1483683366975512], [1.5293903594739766, -0.2183582801822825], [-0.11178920078522919, 0.23213266733624946], [-0.4316372800328376, -0.9648092524212133], [-1.3397086941288134, 0.6451697036882152], [0.8793232927855044, -0.4762253109242076], [-0.08676623262421664, 0.036610793484433725], [0.15461055612386426, 0.1062954267512424], [-0.1455308910744716, 0.11605701289223486], [1.4179049431270332, 0.9307890994847129], [0.0, -0.42037300649737175], [-0.14615304740411117, 0.1345555488989365], [-0.12954684807219424, 0.009844953744336585], [-0.44022660572982775, -0.9421212283614602], [1.0900090457023925, 0.5249206906808878], [0.7592098137432637, -0.016243105986639198], [-0.33473408409193145, 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-0.18336233939363483, -0.31809120625074466, -0.070042264805259, 0.08715068334764058, -0.09864931599898455], 'char_orbit_index': 20, 'conrey_index': 35, 'dual_conrey_index': 179, 'dual_embedding_index': 6, 'dual_embedding_m': 174, 'embedding_index': 6, 'embedding_m': 6, 'hecke_orbit': 1, 'hecke_orbit_code': 1305703612764, 'label': '348.2.t.a.35.6', 'level': 348, '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': 1392, 'analytic_conductor': 2.7787939903405574, 'char_conductor': 348, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 20, 'char_orbit_label': 't', 'char_order': 14, 'char_parity': 1, 'char_values': [348, 14, [175, 233, 205], [7, 7, 3]], 'conrey_index': 35, 'cusp_dim': 336, 'dim': 336, 'eis_dim': 48, 'eis_new_dim': 48, 'hecke_cutter_primes': [], 'hecke_orbit_code': 1305703612764, 'hecke_orbit_dims': [336], 'label': '348.2.t', 'level': 348, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 29], 'level_radical': 174, 'mf_dim': 384, 'mf_new_dim': 384, 'num_forms': 1, 'prim_orbit_index': 20, 'relative_dim': 56, 'sturm_bound': 120, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [336, 0, 0, -10, 0, -3, 0, 0, -10, -14, 0, 0, -20, 0, 0, -26, 0, -56, 0, 0, -14, -40, 0, 3, 40, 0, 0, -36, 0, -6, 0, 0, -22, -8, 0, 9, -28, 0, 0, -14, 0, -74, 0, 0, -22, 0, 0, 14, 4, 0, 0, -4, 0, -31, 0, 0, -12, -106, 0, -42, -28, 0, 0, -94, 0, -7, 0, 0, -14, 0, 0, 70, -28, 0, 0, -84, 0, -9, 0, 0, -50, -46, 0, -35, -168, 0, 0, -60, 0, 119, 0, 0, 122, 36, 0, 2, -28, 0, 0, -134, 0, 56, 0, 0, -154, 70, 0, 112, -20, 0, 0, -64, 0, 259, 0, 0, -12, -98, 0, -30, -88, 0, 0, -14, 0, 112, 0, 0, -98, 98, 0, 153, 0, 0, 0, -98, 0, 149, 0, 0, 30, -140, 0, -64, -52, 0, 0, 210, 0, 56, 0, 0, -140, -44, 0, 203, 0, 0, 0, 42, 0, 0, 0, 0, -122, 126, 0, 38, -132, 0, 0, 364, 0, 249, 0, 0, -56, -44, 0, 43, 68, 0, 0, 126, 0, 0, 0, 0, -14, 138, 0, 259, -28, 0, 0, 298, 0, 114, 0, 0, -154, -236, 0, -136, -112, 0, 0, 106, 0, -123, 0, 0, -14, 294, 0, 162, 28, 0, 0, 0, 0, -224, 0, 0, 6, 94, 0, -15, 196, 0, 0, 466, 0, 168, 0, 0, 2, -168, 0, -7, 136, 0, 0, 0, 0, -196, 0, 0, 0, 672, 0, 51, 28, 0, 0, 22, 0, 133, 0, 0, 2, -216, 0, -378, 236, 0, 0, -108, 0, -56, 0, 0, 0, 190, 0, 28, -132, 0, 0, -196, 0, -245, 0, 0, 0, 24, 0, -455, -128, 0, 0, 140, 0, 49, 0, 0, 66, -14, 0, -189, -28, 0, 0, -210, 0, -428, 0, 0, -14, 142, 0, -400, 216, 0, 0, 28, 0, -350, 0, 0, 70, -364, 0, -258, -12, 0, 0, -132, 0, -497, 0, 0, 378, -14, 0, 0, 28, 0, 0, -448, 0, -73, 0, 0, 532, -308, 0, -444, 112, 0, 0, 302, 0, 52, 0, 0, 32, -154, 0, 0, 36, 0, 0, -656, 0, -392, 0, 0, -28, -572, 0, -186, 300, 0, 0, -292, 0, 46, 0, 0, 290, -278, 0, 137, 196, 0, 0, -434, 0, -411, 0, 0, -78, 0, 0, 203, 76, 0, 0, -86, 0, -96, 0, 0, -300, -344, 0, -364, -84, 0, 0, 78, 0, 56, 0, 0, -14, 0, 0, 539, -28, 0, 0, -350, 0, -111, 0, 0, 258, -188, 0, -28, 28, 0, 0, -80, 0, 413, 0, 0, 154, 58, 0, -1, -28, 0, 0, -490, 0, -126, 0, 0, 238, 378, 0, 434, -136, 0, 0, -92, 0, 630, 0, 0, 236, -434, 0, -195, 180, 0, 0, -126, 0, 112, 0, 0, 146, 546, 0, 766, 0, 0, 0, -92, 0, 600, 0, 0, 366, 28, 0, 176, -448, 0, 0, 672, 0, 501, 0, 0, 406, 56, 0, 679, 0, 0, 0, -196, 0, 0, 0, 0, 230, 462, 0, -12, -12, 0, 0, 770, 0, 560, 0, 0, -322, 62, 0, -253, -252, 0, 0, 532, 0, 0, 0, 0, -14, 1014, 0, 763, -196, 0, 0, 648, 0, 400, 0, 0, 238, 908, 0, -18, -364, 0, 0, 602, 0, -105, 0, 0, -252, 700, 0, 399, -196, 0, 0, 0, 0, -287, 0, 0, -152, -318, 0, -3, -868, 0, 0, 480, 0, 455, 0, 0, 372, 62, 0, -70, 28, 0, 0, 0, 0, -490, 0, 0, 0, 672, 0, 243, -308, 0, 0, 630, 0, 105, 0, 0, -82, -16, 0, -672, -332, 0, 0, -56, 0, -79, 0, 0, 0, 318, 0, 189, -288, 0, 0, -126, 0, -665, 0, 0, 150, -144, 0, -728, 400, 0, 0, 378, 0, 340, 0, 0, -40, -308, 0, -315, -392, 0, 0, -434, 0, -858, 0, 0, -154, 248, 0, -984, -212, 0, 0, 434, 0, -484, 0, 0, -14, -658, 0, -653, 268, 0, 0, 322, 0, -728, 0, 0, -126, 420, 0, 0, -140, 0, 0, -336, 0, -197, 0, 0, -924, -812, 0, -637, -656, 0, 0, 54, 0, 222, 0, 0, -122, -154, 0, 0, -100, 0, 0, -486, 0, -938, 0, 0, -42, -650, 0, -501, 260, 0, 0, -16, 0, 246, 0, 0, -526, -662, 0, -103, -196, 0, 0, -812, 0, -536, 0, 0, -36, 0, 0, 210, -732, 0, 0, -462, 0, -193, 0, 0, 420, -1090, 0, -490, 196, 0, 0, 298, 0, 175, 0, 0, -504, 0, 0, 763, -28, 0, 0, -952, 0, -222, 0, 0, -598, -388, 0, -70, -140, 0, 0, 504, 0, 1071, 0, 0, -354, -290, 0, -56, 28, 0, 0, -518, 0, -91, 0, 0, -294, 182, 0, 581, 584, 0, 0, 72, 0, 945, 0, 0, -252, -658, 0, -192, 172, 0, 0, -56, 0, 294, 0, 0, 8, 420, 0, 1000, 0, 0, 0, -108, 0, 911, 0, 0, -374, -112, 0, 716, 108, 0, 0, 910, 0, 722, 0, 0, -322, -40, 0, 1085, 0, 0, 0, -238, 0, 0, 0, 0, -736, 854, 0, 1, 208, 0, 0, 1078, 0, 1130, 0, 0, 210, -498, 0, -92, 1004, 0, 0, -168, 0, 0, 0, 0, -224, 1184, 0, 931, 252, 0, 0, 808, 0, 537, 0, 0, -294, 596, 0, 46, -112, 0, 0, 540, 0, 103, 0, 0, 378, 1638, 0, 630, 952, 0, 0, 0, 0, -210, 0, 0, 352, 108, 0, -133, 924, 0, 0, 836, 0, 791, 0, 0, -306, -336, 0, -448, -252, 0, 0, 0, 0, -1008, 0, 0, 0, 518, 0, 313, 756, 0, 0, 304, 0, -63, 0, 0, -38, 36, 0, -1015, 412, 0, 0, -140, 0, 160, 0, 0, 0, 926, 0, 308, 324, 0, 0, -112, 0, -679, 0, 0, -106, 0, 0, -1050, -184, 0, 0, 770, 0, 135, 0, 0, 784, -504, 0, -245, 252, 0, 0, -2030], '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: 15594393
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 35, 'source_dim': 336, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1305703612764, 'source_is_minimal': True, 'source_label': '348.2.t.a.35.6', 'source_level': 348, 'target_conrey_index': 35, 'target_dim': 336, 'target_embedding_index': 6, 'target_hecke_orbit_code': 1305703612764, 'target_is_minimal': True, 'target_label': '348.2.t.a.35.6', 'target_level': 348, 'twist_class_label': '348.2.t.a.35.6', 'twist_class_level': 348, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 15594394
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 35, 'source_dim': 336, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1305703612764, 'source_is_minimal': True, 'source_label': '348.2.t.a.35.6', 'source_level': 348, 'target_conrey_index': 35, 'target_dim': 336, 'target_embedding_index': 51, 'target_hecke_orbit_code': 1305703612764, 'target_is_minimal': True, 'target_label': '348.2.t.a.35.51', 'target_level': 348, 'twist_class_label': '348.2.t.a.35.6', 'twist_class_level': 348, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 15594395
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 35, 'source_dim': 336, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1305703612764, 'source_is_minimal': True, 'source_label': '348.2.t.a.35.6', 'source_level': 348, 'target_conrey_index': 35, 'target_dim': 336, 'target_embedding_index': 38, 'target_hecke_orbit_code': 1305703612764, 'target_is_minimal': True, 'target_label': '348.2.t.a.35.38', 'target_level': 348, 'twist_class_label': '348.2.t.a.35.6', 'twist_class_level': 348, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 15594396
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 35, 'source_dim': 336, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1305703612764, 'source_is_minimal': True, 'source_label': '348.2.t.a.35.6', 'source_level': 348, 'target_conrey_index': 35, 'target_dim': 336, 'target_embedding_index': 19, 'target_hecke_orbit_code': 1305703612764, 'target_is_minimal': True, 'target_label': '348.2.t.a.35.19', 'target_level': 348, 'twist_class_label': '348.2.t.a.35.6', 'twist_class_level': 348, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 15594397
    {'conductor': 29, 'degree': 6, 'order': 14, 'parity': 1, 'source_conrey_index': 35, 'source_dim': 336, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1305703612764, 'source_is_minimal': True, 'source_label': '348.2.t.a.35.6', 'source_level': 348, 'target_conrey_index': 179, 'target_dim': 336, 'target_embedding_index': 19, 'target_hecke_orbit_code': 1305703612764, 'target_is_minimal': True, 'target_label': '348.2.t.a.179.19', 'target_level': 348, 'twist_class_label': '348.2.t.a.35.6', 'twist_class_level': 348, 'twisting_char_label': '29.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 15594398
    {'conductor': 87, 'degree': 6, 'order': 14, 'parity': -1, 'source_conrey_index': 35, 'source_dim': 336, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1305703612764, 'source_is_minimal': True, 'source_label': '348.2.t.a.35.6', 'source_level': 348, 'target_conrey_index': 179, 'target_dim': 336, 'target_embedding_index': 38, 'target_hecke_orbit_code': 1305703612764, 'target_is_minimal': True, 'target_label': '348.2.t.a.179.38', 'target_level': 348, 'twist_class_label': '348.2.t.a.35.6', 'twist_class_level': 348, 'twisting_char_label': '87.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 15594399
    {'conductor': 116, 'degree': 6, 'order': 14, 'parity': -1, 'source_conrey_index': 35, 'source_dim': 336, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1305703612764, 'source_is_minimal': True, 'source_label': '348.2.t.a.35.6', 'source_level': 348, 'target_conrey_index': 179, 'target_dim': 336, 'target_embedding_index': 51, 'target_hecke_orbit_code': 1305703612764, 'target_is_minimal': True, 'target_label': '348.2.t.a.179.51', 'target_level': 348, 'twist_class_label': '348.2.t.a.35.6', 'twist_class_level': 348, 'twisting_char_label': '116.63', 'twisting_conrey_index': 63, 'weight': 2}
  • id: 15594400
    {'conductor': 348, 'degree': 6, 'order': 14, 'parity': 1, 'source_conrey_index': 35, 'source_dim': 336, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1305703612764, 'source_is_minimal': True, 'source_label': '348.2.t.a.35.6', 'source_level': 348, 'target_conrey_index': 179, 'target_dim': 336, 'target_embedding_index': 6, 'target_hecke_orbit_code': 1305703612764, 'target_is_minimal': True, 'target_label': '348.2.t.a.179.6', 'target_level': 348, 'twist_class_label': '348.2.t.a.35.6', 'twist_class_level': 348, 'twisting_char_label': '348.179', 'twisting_conrey_index': 179, 'weight': 2}
• hecke_orbit_code 1305703612764 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': 20, 'hecke_orbit': 1, 'label': '348.2.t.a', 'level': 348, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 12731076
    {'hecke_orbit_code': 1305703612764, 'n': 1, 'trace_an': 336}
  • id: 12731077
    {'hecke_orbit_code': 1305703612764, 'n': 2, 'trace_an': 0}
  • id: 12731078
    {'hecke_orbit_code': 1305703612764, 'n': 3, 'trace_an': 0}
  • id: 12731079
    {'hecke_orbit_code': 1305703612764, 'n': 4, 'trace_an': -10}
  • id: 12731080
    {'hecke_orbit_code': 1305703612764, 'n': 5, 'trace_an': 0}
  • id: 12731081
    {'hecke_orbit_code': 1305703612764, 'n': 6, 'trace_an': -3}
  • id: 12731082
    {'hecke_orbit_code': 1305703612764, 'n': 7, 'trace_an': 0}
  • id: 12731083
    {'hecke_orbit_code': 1305703612764, 'n': 8, 'trace_an': 0}
  • id: 12731084
    {'hecke_orbit_code': 1305703612764, 'n': 9, 'trace_an': -10}
  • id: 12731085
    {'hecke_orbit_code': 1305703612764, 'n': 10, 'trace_an': -14}
  • id: 12731086
    {'hecke_orbit_code': 1305703612764, 'n': 11, 'trace_an': 0}
  • id: 12731087
    {'hecke_orbit_code': 1305703612764, 'n': 12, 'trace_an': 0}
  • id: 12731088
    {'hecke_orbit_code': 1305703612764, 'n': 13, 'trace_an': -20}
  • id: 12731089
    {'hecke_orbit_code': 1305703612764, 'n': 14, 'trace_an': 0}
  • id: 12731090
    {'hecke_orbit_code': 1305703612764, 'n': 15, 'trace_an': 0}
  • id: 12731091
    {'hecke_orbit_code': 1305703612764, 'n': 16, 'trace_an': -26}
  • id: 12731092
    {'hecke_orbit_code': 1305703612764, 'n': 17, 'trace_an': 0}
  • id: 12731093
    {'hecke_orbit_code': 1305703612764, 'n': 18, 'trace_an': -56}
  • id: 12731094
    {'hecke_orbit_code': 1305703612764, 'n': 19, 'trace_an': 0}
  • id: 12731095
    {'hecke_orbit_code': 1305703612764, 'n': 20, 'trace_an': 0}
  • id: 12731096
    {'hecke_orbit_code': 1305703612764, 'n': 21, 'trace_an': -14}
  • id: 12731097
    {'hecke_orbit_code': 1305703612764, 'n': 22, 'trace_an': -40}
  • id: 12731098
    {'hecke_orbit_code': 1305703612764, 'n': 23, 'trace_an': 0}
  • id: 12731099
    {'hecke_orbit_code': 1305703612764, 'n': 24, 'trace_an': 3}
  • id: 12731100
    {'hecke_orbit_code': 1305703612764, 'n': 25, 'trace_an': 40}
  • id: 12731101
    {'hecke_orbit_code': 1305703612764, 'n': 26, 'trace_an': 0}
  • id: 12731102
    {'hecke_orbit_code': 1305703612764, 'n': 27, 'trace_an': 0}
  • id: 12731103
    {'hecke_orbit_code': 1305703612764, 'n': 28, 'trace_an': -36}
  • id: 12731104
    {'hecke_orbit_code': 1305703612764, 'n': 29, 'trace_an': 0}
  • id: 12731105
    {'hecke_orbit_code': 1305703612764, 'n': 30, 'trace_an': -6}
  • id: 12731106
    {'hecke_orbit_code': 1305703612764, 'n': 31, 'trace_an': 0}
  • id: 12731107
    {'hecke_orbit_code': 1305703612764, 'n': 32, 'trace_an': 0}
  • id: 12731108
    {'hecke_orbit_code': 1305703612764, 'n': 33, 'trace_an': -22}
  • id: 12731109
    {'hecke_orbit_code': 1305703612764, 'n': 34, 'trace_an': -8}
  • id: 12731110
    {'hecke_orbit_code': 1305703612764, 'n': 35, 'trace_an': 0}
  • id: 12731111
    {'hecke_orbit_code': 1305703612764, 'n': 36, 'trace_an': 9}
  • id: 12731112
    {'hecke_orbit_code': 1305703612764, 'n': 37, 'trace_an': -28}
  • id: 12731113
    {'hecke_orbit_code': 1305703612764, 'n': 38, 'trace_an': 0}
  • id: 12731114
    {'hecke_orbit_code': 1305703612764, 'n': 39, 'trace_an': 0}
  • id: 12731115
    {'hecke_orbit_code': 1305703612764, 'n': 40, 'trace_an': -14}
  • id: 12731116
    {'hecke_orbit_code': 1305703612764, 'n': 41, 'trace_an': 0}
  • id: 12731117
    {'hecke_orbit_code': 1305703612764, 'n': 42, 'trace_an': -74}
  • id: 12731118
    {'hecke_orbit_code': 1305703612764, 'n': 43, 'trace_an': 0}
  • id: 12731119
    {'hecke_orbit_code': 1305703612764, 'n': 44, 'trace_an': 0}
  • id: 12731120
    {'hecke_orbit_code': 1305703612764, 'n': 45, 'trace_an': -22}
  • id: 12731121
    {'hecke_orbit_code': 1305703612764, 'n': 46, 'trace_an': 0}
  • id: 12731122
    {'hecke_orbit_code': 1305703612764, 'n': 47, 'trace_an': 0}
  • id: 12731123
    {'hecke_orbit_code': 1305703612764, 'n': 48, 'trace_an': 14}
  • id: 12731124
    {'hecke_orbit_code': 1305703612764, 'n': 49, 'trace_an': 4}
  • id: 12731125
    {'hecke_orbit_code': 1305703612764, 'n': 50, 'trace_an': 0}
  • id: 12731126
    {'hecke_orbit_code': 1305703612764, 'n': 51, 'trace_an': 0}
  • id: 12731127
    {'hecke_orbit_code': 1305703612764, 'n': 52, 'trace_an': -4}
  • id: 12731128
    {'hecke_orbit_code': 1305703612764, 'n': 53, 'trace_an': 0}
  • id: 12731129
    {'hecke_orbit_code': 1305703612764, 'n': 54, 'trace_an': -31}
  • id: 12731130
    {'hecke_orbit_code': 1305703612764, 'n': 55, 'trace_an': 0}
  • id: 12731131
    {'hecke_orbit_code': 1305703612764, 'n': 56, 'trace_an': 0}
  • id: 12731132
    {'hecke_orbit_code': 1305703612764, 'n': 57, 'trace_an': -12}
  • id: 12731133
    {'hecke_orbit_code': 1305703612764, 'n': 58, 'trace_an': -106}
  • id: 12731134
    {'hecke_orbit_code': 1305703612764, 'n': 59, 'trace_an': 0}
  • id: 12731135
    {'hecke_orbit_code': 1305703612764, 'n': 60, 'trace_an': -42}
  • id: 12731136
    {'hecke_orbit_code': 1305703612764, 'n': 61, 'trace_an': -28}
  • id: 12731137
    {'hecke_orbit_code': 1305703612764, 'n': 62, 'trace_an': 0}
  • id: 12731138
    {'hecke_orbit_code': 1305703612764, 'n': 63, 'trace_an': 0}
  • id: 12731139
    {'hecke_orbit_code': 1305703612764, 'n': 64, 'trace_an': -94}
  • id: 12731140
    {'hecke_orbit_code': 1305703612764, 'n': 65, 'trace_an': 0}
  • id: 12731141
    {'hecke_orbit_code': 1305703612764, 'n': 66, 'trace_an': -7}
  • id: 12731142
    {'hecke_orbit_code': 1305703612764, 'n': 67, 'trace_an': 0}
  • id: 12731143
    {'hecke_orbit_code': 1305703612764, 'n': 68, 'trace_an': 0}
  • id: 12731144
    {'hecke_orbit_code': 1305703612764, 'n': 69, 'trace_an': -14}
  • id: 12731145
    {'hecke_orbit_code': 1305703612764, 'n': 70, 'trace_an': 0}
  • id: 12731146
    {'hecke_orbit_code': 1305703612764, 'n': 71, 'trace_an': 0}
  • id: 12731147
    {'hecke_orbit_code': 1305703612764, 'n': 72, 'trace_an': 70}
  • id: 12731148
    {'hecke_orbit_code': 1305703612764, 'n': 73, 'trace_an': -28}
  • id: 12731149
    {'hecke_orbit_code': 1305703612764, 'n': 74, 'trace_an': 0}
  • id: 12731150
    {'hecke_orbit_code': 1305703612764, 'n': 75, 'trace_an': 0}
  • id: 12731151
    {'hecke_orbit_code': 1305703612764, 'n': 76, 'trace_an': -84}
  • id: 12731152
    {'hecke_orbit_code': 1305703612764, 'n': 77, 'trace_an': 0}
  • id: 12731153
    {'hecke_orbit_code': 1305703612764, 'n': 78, 'trace_an': -9}
  • id: 12731154
    {'hecke_orbit_code': 1305703612764, 'n': 79, 'trace_an': 0}
  • id: 12731155
    {'hecke_orbit_code': 1305703612764, 'n': 80, 'trace_an': 0}
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  • id: 12731160
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  • id: 12731163
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  • id: 12731164
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  • id: 12731165
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  • id: 12731166
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  • id: 12731169
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  • id: 12731170
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  • id: 12731171
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  • id: 12731172
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  • id: 12731173
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  • id: 12731177
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  • id: 12731179
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  • id: 12731188
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  • id: 12731190
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  • id: 12731191
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  • id: 12731192
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  • id: 12731193
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  • id: 12731194
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  • id: 12731198
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  • id: 12731199
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  • id: 12731200
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  • id: 12731204
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  • id: 12731207
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  • id: 12731212
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  • id: 12731215
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  • id: 12731216
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  • id: 12731219
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  • id: 12731221
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  • id: 12731222
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  • id: 12731223
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  • id: 12731224
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  • id: 12731225
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  • id: 12731226
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  • id: 12731227
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  • id: 12731228
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  • id: 12731229
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  • id: 12731231
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  • id: 12731232
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  • id: 12731233
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  • id: 12731234
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  • id: 12731235
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  • id: 12731239
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  • id: 12731240
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  • id: 12731241
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  • id: 12731242
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  • id: 12731243
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  • id: 12731244
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  • id: 12731245
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  • id: 12731246
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  • id: 12731247
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  • id: 12731248
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  • id: 12731249
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  • id: 12731250
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  • id: 12731251
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  • id: 12731252
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  • id: 12731253
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  • id: 12731254
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  • id: 12731256
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  • id: 12731258
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  • id: 12731259
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  • id: 12731260
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  • id: 12731261
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  • id: 12731262
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  • id: 12731263
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  • id: 12731264
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  • id: 12731265
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  • id: 12731266
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  • id: 12731267
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  • id: 12731268
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  • id: 12731269
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  • id: 12731270
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  • id: 12731271
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  • id: 12731272
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  • id: 12731273
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  • id: 12731274
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  • id: 12731275
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  • id: 12731276
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  • id: 12731277
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  • id: 12731278
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  • id: 12731279
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  • id: 12731280
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  • id: 12731281
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  • id: 12731283
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  • id: 12731284
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  • id: 12731285
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  • id: 12731286
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  • id: 12731287
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  • id: 12731288
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  • id: 12731289
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  • id: 12731290
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  • id: 12731291
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  • id: 12731292
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  • id: 12731293
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  • id: 12731294
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  • id: 12731295
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  • id: 12731296
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  • id: 12731297
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  • id: 12731298
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  • id: 12731299
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  • id: 12731300
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  • id: 12731301
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  • id: 12731302
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  • id: 12731303
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  • id: 12731305
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  • id: 12731306
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  • id: 12731307
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  • id: 12731308
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  • id: 12731309
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  • id: 12731310
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  • id: 12731311
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  • id: 12731312
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  • id: 12731313
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  • id: 12731314
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  • id: 12731315
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  • id: 12731316
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  • id: 12731317
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  • id: 12731318
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  • id: 12731319
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  • id: 12731320
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  • id: 12731321
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  • id: 12731322
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  • id: 12731323
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  • id: 12731324
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  • id: 12731326
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  • id: 12731327
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  • id: 12731328
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  • id: 12731329
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  • id: 12731330
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  • id: 12731331
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  • id: 12731333
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