Embedded newform data - 336.2.y.a.125.2

Formats: - HTML - YAML - JSON - 2024-05-06T01:39:06.856669

• 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': 1344, 'analytic_conductor': 2.6829735079150208, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 336, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 25, 'char_orbit_label': 'y', 'char_order': 4, 'char_parity': 1, 'char_values': [336, 4, [127, 85, 113, 241], [4, 3, 2, 2]], 'cm_discs': [], 'conrey_index': 125, 'conrey_indexes': [125, 293], 'dim': 120, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1649300996432, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 16, 5, 1, 4, 0], [1, 1, 21, 3, 1, 2, 0], [1, 1, 48, 9, -1, 4, 0], [1, 1, 112, 12, -1, 4, 0], [1, 1, 336, 25, 1, 4, 0]], 'is_cm': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '336.2.y.a', 'level': 336, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '336.2.y.a', 'prim_orbit_index': 25, 'related_objects': [], 'relative_dim': 60, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '336.2.y', 'trace_display': [0, 0, 0, 0], 'traces': [120, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 8, 0, -32, 0, 0, -8, 16, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -8, -8, 0, 0, 0, 0, -24, -8, 0, 0, -24, 0, 0, -8, 0, -56, 0, 0, 0, 0, 0, 0, 40, 0, -96, 0, 0, 24, -56, 0, 0, 24, 0, 0, -80, 0, -8, 0, 0, 0, 0, 0, 64, -16, 0, -8, 0, 0, -48, -48, 0, 0, -24, 0, 0, -8, 0, 8, 0, 0, 0, 0, 0, -40, 144, 0, -8, 0, 0, 0, -8, 0, 0, -8, 0, 0, 72, 0, 88, 0, 0, 0, 0, 0, -72, 0, 0, -32, 0, 0, -72, -80, 0, 0, 208, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -16, -56, 0, 24, 0, 0, 24, -40, 0, 0, 0, 0, 0, 56, 0, 136, 0, 0, 0, 0, 0, -24, -120, 0, 8, 0, 0, 88, 0, 0, 0, 168, 0, 0, 112, 0, -8, 0, 0, 0, 0, 0, 0, -112, 0, 256, 0, 0, 24, -64, 0, 0, -80, 0, 0, 96, 0, 56, 0, 0, 0, 0, 0, -40, 32, 0, 80, 0, 0, 144, -72, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 64, -240, 0, 296, 0, 0, 0, 120, 0, 0, -96, 0, 0, 24, 0, -88, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 152, -160, 0, 0, -120, 0, 0, 32, 0, -40, 0, 0, 0, 0, 0, 96, -168, 0, 88, 0, 0, 24, 0, 0, 0, 56, 0, 0, -112, 0, -248, 0, 0, 0, 0, 0, 80, -24, 0, -48, 0, 0, 104, 0, 0, 0, -328, 0, 0, 24, 0, 72, 0, 0, 0, 0, 0, -96, -64, 0, -160, 0, 0, -64, 96, 0, 0, 112, 0, 0, -192, 0, -296, 0, 0, 0, 0, 0, 72, 136, 0, 32, 0, 0, -120, -16, 0, 0, -544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 136, 0, -408, 0, 0, -56, 240, 0, 0, 0, 0, 0, -344, 0, -152, 0, 0, 0, 0, 0, 136, 24, 0, 0, 0, 0, -232, 184, 0, 0, -248, 0, 0, -96, 0, 224, 0, 0, 0, 0, 0, 0, 216, 0, -504, 0, 0, -200, 96, 0, 0, 32, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 48, 144, 0, -8, 0, 0, -288, 56, 0, 0, 216, 0, 0, -104, 0, -8, 0, 0, 0, 0, 0, 232, 248, 0, -264, 0, 0, 0, -320, 0, 0, 160, 0, 0, 224, 0, 408, 0, 0, 0, 0, 0, -104, 0, 0, 8, 0, 0, -176, 112, 0, 0, 576, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, -200, 344, 0, 288, 0, 0, -96, 64, 0, 0, 0, 0, 0, 464, 0, 432, 0, 0, 0, 0, 0, -192, 312, 0, 88, 0, 0, 64, 0, 0, 0, 528, 0, 0, -272, 0, -8, 0, 0, 0, 0, 0, 0, -32, 0, 552, 0, 0, 72, 72, 0, 0, -72, 0, 0, 288, 0, 232, 0, 0, 0, 0, 0, -216, -72, 0, -296, 0, 0, 376, 136, 0, 0, 288, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, -144, -384, 0, 576, 0, 0, 0, -48, 0, 0, 72, 0, 0, 216, 0, -200, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 392, 144, 0, 0, -136, 0, 0, -16, 0, 64, 0, 0, 0, 0, 0, -176, -528, 0, 328, 0, 0, -64, 48, 0, 0, -72, 0, 0, -24, 0, -552, 0, 0, 0, 0, 0, 64, 56, 0, 24, 0, 0, 152, 0, 0, 0, -728, 0, 0, 16, 0, -352, 0, 0, 0, 0, 0, 8, -224, 0, -240, 0, 0, 80, 296, 0, 0, -240, 0, 0, -384, 0, -616, 0, 0, 0, 0, 0, 144, -448, 0, 184, 0, 0, -184, 48, 0, 0, -592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 216, 0, -952, 0, 0, 184, -64, 0, 0, 0, 0, 0, -416, 0, -88, 0, 0, 0, 0, 0, 192, 88, 0, 0, 0, 0, -464, -272, 0, 0, -216, 0, 0, -32, 0, -368, 0, 0, 0, 0, 0, 0, 768, 0, -728, 0, 0, 376, -304, 0, 0, 56, 0, 0, -96, 0, 376, 0, 0, 0, 0, 0, 72, -528, 0, -8, 0, 0, -464, 152, 0, 0, 720, 0, 0, 176, 0, -96, 0, 0, 0, 0, 0, -312, 416, 0, -440, 0, 0, 0, -232, 0, 0, -160, 0, 0, -104, 0, 560, 0, 0, 0, 0, 0, 128, 0, 0, 8, 0, 0, -128, -544, 0, 0, 704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 320, 0, 488, 0, 0, 136, -400, 0, 0, 0, 0, 0, 480, 0, 512, 0, 0, 0, 0, 0, -264, -400, 0, 8, 0, 0, 224, 0, 0, 0, 1032, 0, 0, 560, 0, 56, 0, 0, 0, 0, 0, 0, -504, 0, 856, 0, 0, 16, -248, 0, 0, -16, 0, 0, 616, 0, 304, 0, 0, 0, 0, 0, -232, -40, 0, 296, 0, 0, 448, -408, 0, 0, 704, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, -128, -576, 0, 1176, 0, 0, 0, -288, 0, 0, 120, 0, 0, 192, 0, -136, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 600, 488, 0, 0, -648, 0, 0, 224, 0, 168, 0, 0, 0, 0, 0, 328, -848, 0, 464, 0, 0, 56, 560, 0, 0, -208, 0, 0, -608, 0, -584, 0, 0, 0, 0, 0, -88, 104, 0, -40, 0, 0, 128, 0, 0, 0, -1168, 0, 0, -144, 0, 808, 0, 0, 0, 0, 0, 256, -304, 0, -416, 0, 0, -176, 64, 0, 0, 368, 0, 0, -688, 0, -600, 0, 0, 0, 0], '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], [-0.9998865750154018, -0.015061112308504364], [0.898666758116027, -0.43863203013144186], [0.9995463257920613, 0.03011880800414548], [0.3131327220394785, -0.3131327220394785], [-0.9051711131207457, 0.4250473573282749], [-0.7710306551791011, -0.6367980282429321], [-0.9989793295155043, -0.04516967124911862], [0.6152038842855397, -0.7883680490481487], [-0.3178133320594082, 0.30838107787119967], [-0.6951782184422458, -0.6951782184422458], [0.9114701300863354, -0.41136626254519093], [0.9682252075914227, -0.9682252075914227], [0.7613523144177117, 0.6483383787273386], [0.1440519266065042, -0.4187520097440261], [0.9981857148088188, 0.06021028775556028], [-0.9154388415278416, 0.0], [-0.6270078045215906, 0.7790129736204751], [-1.0832146953291415, 1.0832146953291415], [0.32242184613475006, -0.303559477464905], [-0.9722196312097756, -0.23407047804096914], [0.6846292106411412, 0.7055695250859105], [1.7002254973429147, 0.0], [-0.9175623800809913, 0.39759184933812014], [0.0, 0.8038957967762934], [-0.9826979352536234, 0.9535328380707047], [0.20705980242651983, -0.9783282875492718], [-0.7515012609072489, -0.6597316536705018], [0.7782725170312393, -0.7782725170312393], [-0.1503424585671142, 0.4165349305588934], [0.0, 0.5095836280170501], [-0.9971656617034766, -0.07523724556007928], [-0.9296609891388495, -0.31980612262188707], [0.9153350078913407, 0.013787527203817953], [-0.44083722780519646, 0.04203262785903244], [0.6386694880564996, -0.7694811791237318], [0.48358581644488774, -0.48358581644488774], [1.0994062498995818, -1.0667774135384327], [0.4454172200021387, -1.2948063968626637], [-0.3269572188242279, 0.2986690146004981], [0.0, -1.0937094646882424], [0.9685839954551992, 0.24868663765478558], [0.2982481071151842, -0.2982481071151842], [-0.6739248947246919, -0.7158007733045436], [-0.054223366271808494, -0.4395043000629913], [-1.700032649292065, -0.02560728716526433], [-0.38094924103331723, 0.0], [0.9234464810779901, -0.3837272424322742], [0.18897654245182782, 0.9819816018658153], [0.012107564879582356, -0.8038046149079254], [-0.8226744559693169, 0.4015407975205325], [0.9969477379194823, -0.9386241596550424], [1.3243174176357502, 1.3243174176357502], [-0.221771028884985, 0.9750987697394019], [-0.4353660956867512, 0.0], [0.7414797293588983, 0.670975268508352], [-0.49831637771464693, 1.4485816994755123], [-0.7899058912686117, 0.766462591697352], [-0.4210020175696957, 0.4210020175696957], [0.15659888534562932, -0.41422336043759417], [-0.0953714952565478, 0.0953714952565478], [0.007674896252139904, -0.5095258285018909], [-0.9763722731329959, 0.21609531289943917], [0.9959194015984931, 0.09024713579776054], [0.0, -0.6063659896006827], [0.9247389064257193, 0.3337715771836097], [-0.19642064463711734, -0.19642064463711734], [-0.9150235305364951, -0.027571926707514422], [1.527936135763367, -0.7457733615807631], [0.4414202839782288, -0.035388361311121115], [-0.7445291696575697, 0.0], [-0.6501862894377163, 0.7597748278452072], [1.2885845687019997, 0.0], [-0.4908143060233818, 0.4762476254388293], [0.35261444535411857, 0.7224344295520521], [-1.1153484041960977, 1.0500981333243231], [0.09331559845030861, 0.9786918360132214], [-0.4648679231217386, 1.2879510546924477], [-0.516058976525699, 0.0], [0.3314184212786869, -0.29371079867932914], [-0.24304836151996845, -0.970014172042068], [-0.01647248108054381, 1.0935854107090552], [1.1025158286375447, 1.1025158286375447], [-0.9647286364510895, -0.26324638271251044], [-0.28665385630827983, 0.28665385630827983], [-0.3027062265652888, 0.29372233009116755], [0.3580323856703446, -1.040782893952184], [0.6630676989666333, 0.7258696421398017], [0.0, 1.0942287277271068], [0.04759779236400494, 0.4402711135036907], [-1.3630952192594574, 0.12996741308081428], [1.6994541488870905, 0.05120876531822401], [0.22351970127886422, 0.45794586697908596], [0.38090603187152033, 0.005737519303042291], [0.0, 0.678379932203157], [-0.9291210982692016, 0.3697755870133026], [0.0, 0.22554319557755717], [-0.17416537259982473, -0.9847164175472877], [-0.9757326360704521, 0.12037995555771003], [-0.024212383158444734, 0.8035310899874256], [-0.5642853292347418, 0.5642853292347418], [0.8286287951797223, -0.38910486038706654], [-0.5144339701068102, 0.0], [-1.0109713830217038, 0.9235025543776753], [-0.37772890547898563, 0.23113865360288433], [-1.304221513593931, -1.3441129003121721], [0.2196189989920064, 0.2196189989920064], [0.23643194659237896, -0.9716480508036531], [0.8707790865162223, 0.8707790865162223], [0.43531671429405333, 0.006557097662453218], [0.22246626952542747, -0.6466987263454113], [-0.7312899931567827, -0.6820666726272094], [0.0, -0.29484625106857726], [0.5200771078510245, -1.4409121951886326], [0.532396238063913, -0.532396238063913], [0.8013600753788817, -0.7544787943481477], [-0.1676619093746724, -1.3589737265215052], [0.4272950240910611, -0.4146135067536129], [0.7058314097596091, 0.5829496492619235], [-0.1628197876718276, 0.4118178237597392], [0.0, -0.0334544892069304], [0.09679707854725607, -0.09392427694507835], [-0.4797360028701763, -0.9828803389521982], [-0.015348051454301424, 0.509352443068231], [0.5648588011201346, 0.5648588011201346], [0.9795161638998734, -0.20136554983133606], [-0.2695714174586244, 0.0], [-0.9944472172079347, -0.10523655347546601], [0.13720448682865116, -0.3988468322422371], [-0.009132546269433273, 0.6062972125476513], [0.5063331960416769, 0.5063331960416769], [-0.9196070467201516, -0.3476613156733296], [1.5249807183886241, -0.14540275408989267], [0.19344005223993616, 0.19935667901711304], [-0.24150940016975234, -0.3711837992872979], [0.9145044801219333, 0.04135007152048661], [-0.34286409927992034, 0.0], [-1.5389950059861597, 0.7226763545077578], [-0.5945750305084501, -0.5945750305084501], [-0.4419032039734379, 0.028736066914536448], [-0.3423464194461722, 0.16709653897147592], [0.7444447214479682, 0.011213437441170156], [-1.3461781497285576, 0.0], [0.6615555960792021, -0.7498961216703895], [0.0, 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-0.31945686465541995, -0.4079124975059966, -0.34118137602217746, -0.2805013438833308, 0.06794732781938916, -0.4231086522768814, -0.3857412162681917, -0.14717678284788827, -0.3107093001533708, -0.1385760163888152, -0.29153658615119515, 0.017287885352343577, 0.09213686282404114, 0.017986419017053976, -0.44032306195011667, -0.29140275482831335, -0.10018374299404488, -0.0194298370762021, -0.4764510491348, -0.2715173018044595, -0.06672399669318442, -0.27741969968748675, -0.19406003927042173, -0.08101660052095949, -0.47749200167179834, -0.35571831414396354, -0.08439709165153184, -0.34819551023025863, -0.12944796581658347, -0.4665876453889702, -0.08881443219536805, -0.45208393272190867, -0.3410449516435837, -0.08983568798669589, -0.282237498485694, -0.05176444354595522, -0.426386077078337, 0.0499828676067482, -0.47382214943842715, -0.3897493550756718, -0.4950689170284568, -0.4772455269142282, -0.3723738731873595, -0.29013605950386684, -0.21771750589689703, -0.20834887525443588, 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• 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': 1344, 'analytic_conductor': 2.6829735079150208, 'char_conductor': 336, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 25, 'char_orbit_label': 'y', 'char_order': 4, 'char_parity': 1, 'char_values': [336, 4, [127, 85, 113, 241], [4, 3, 2, 2]], 'conrey_index': 125, 'cusp_dim': 120, 'dim': 120, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_cutter_primes': [], 'hecke_orbit_code': 1649300996432, 'hecke_orbit_dims': [120], 'label': '336.2.y', 'level': 336, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 136, 'mf_new_dim': 136, 'num_forms': 1, 'prim_orbit_index': 25, 'relative_dim': 60, 'sturm_bound': 128, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [120, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 8, 0, -32, 0, 0, -8, 16, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -8, -8, 0, 0, 0, 0, -24, -8, 0, 0, -24, 0, 0, -8, 0, -56, 0, 0, 0, 0, 0, 0, 40, 0, -96, 0, 0, 24, -56, 0, 0, 24, 0, 0, -80, 0, -8, 0, 0, 0, 0, 0, 64, -16, 0, -8, 0, 0, -48, -48, 0, 0, -24, 0, 0, -8, 0, 8, 0, 0, 0, 0, 0, -40, 144, 0, -8, 0, 0, 0, -8, 0, 0, -8, 0, 0, 72, 0, 88, 0, 0, 0, 0, 0, -72, 0, 0, -32, 0, 0, -72, -80, 0, 0, 208, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -16, -56, 0, 24, 0, 0, 24, -40, 0, 0, 0, 0, 0, 56, 0, 136, 0, 0, 0, 0, 0, -24, -120, 0, 8, 0, 0, 88, 0, 0, 0, 168, 0, 0, 112, 0, -8, 0, 0, 0, 0, 0, 0, -112, 0, 256, 0, 0, 24, -64, 0, 0, -80, 0, 0, 96, 0, 56, 0, 0, 0, 0, 0, -40, 32, 0, 80, 0, 0, 144, -72, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 64, -240, 0, 296, 0, 0, 0, 120, 0, 0, -96, 0, 0, 24, 0, -88, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 152, -160, 0, 0, -120, 0, 0, 32, 0, -40, 0, 0, 0, 0, 0, 96, -168, 0, 88, 0, 0, 24, 0, 0, 0, 56, 0, 0, -112, 0, -248, 0, 0, 0, 0, 0, 80, -24, 0, -48, 0, 0, 104, 0, 0, 0, -328, 0, 0, 24, 0, 72, 0, 0, 0, 0, 0, -96, -64, 0, -160, 0, 0, -64, 96, 0, 0, 112, 0, 0, -192, 0, -296, 0, 0, 0, 0, 0, 72, 136, 0, 32, 0, 0, -120, -16, 0, 0, -544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 136, 0, -408, 0, 0, -56, 240, 0, 0, 0, 0, 0, -344, 0, -152, 0, 0, 0, 0, 0, 136, 24, 0, 0, 0, 0, -232, 184, 0, 0, -248, 0, 0, -96, 0, 224, 0, 0, 0, 0, 0, 0, 216, 0, -504, 0, 0, -200, 96, 0, 0, 32, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 48, 144, 0, -8, 0, 0, -288, 56, 0, 0, 216, 0, 0, -104, 0, -8, 0, 0, 0, 0, 0, 232, 248, 0, -264, 0, 0, 0, -320, 0, 0, 160, 0, 0, 224, 0, 408, 0, 0, 0, 0, 0, -104, 0, 0, 8, 0, 0, -176, 112, 0, 0, 576, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, -200, 344, 0, 288, 0, 0, -96, 64, 0, 0, 0, 0, 0, 464, 0, 432, 0, 0, 0, 0, 0, -192, 312, 0, 88, 0, 0, 64, 0, 0, 0, 528, 0, 0, -272, 0, -8, 0, 0, 0, 0, 0, 0, -32, 0, 552, 0, 0, 72, 72, 0, 0, -72, 0, 0, 288, 0, 232, 0, 0, 0, 0, 0, -216, -72, 0, -296, 0, 0, 376, 136, 0, 0, 288, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, -144, -384, 0, 576, 0, 0, 0, -48, 0, 0, 72, 0, 0, 216, 0, -200, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 392, 144, 0, 0, -136, 0, 0, -16, 0, 64, 0, 0, 0, 0, 0, -176, -528, 0, 328, 0, 0, -64, 48, 0, 0, -72, 0, 0, -24, 0, -552, 0, 0, 0, 0, 0, 64, 56, 0, 24, 0, 0, 152, 0, 0, 0, -728, 0, 0, 16, 0, -352, 0, 0, 0, 0, 0, 8, -224, 0, -240, 0, 0, 80, 296, 0, 0, -240, 0, 0, -384, 0, -616, 0, 0, 0, 0, 0, 144, -448, 0, 184, 0, 0, -184, 48, 0, 0, -592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 216, 0, -952, 0, 0, 184, -64, 0, 0, 0, 0, 0, -416, 0, -88, 0, 0, 0, 0, 0, 192, 88, 0, 0, 0, 0, -464, -272, 0, 0, -216, 0, 0, -32, 0, -368, 0, 0, 0, 0, 0, 0, 768, 0, -728, 0, 0, 376, -304, 0, 0, 56, 0, 0, -96, 0, 376, 0, 0, 0, 0, 0, 72, -528, 0, -8, 0, 0, -464, 152, 0, 0, 720, 0, 0, 176, 0, -96, 0, 0, 0, 0, 0, -312, 416, 0, -440, 0, 0, 0, -232, 0, 0, -160, 0, 0, -104, 0, 560, 0, 0, 0, 0, 0, 128, 0, 0, 8, 0, 0, -128, -544, 0, 0, 704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 320, 0, 488, 0, 0, 136, -400, 0, 0, 0, 0, 0, 480, 0, 512, 0, 0, 0, 0, 0, -264, -400, 0, 8, 0, 0, 224, 0, 0, 0, 1032, 0, 0, 560, 0, 56, 0, 0, 0, 0, 0, 0, -504, 0, 856, 0, 0, 16, -248, 0, 0, -16, 0, 0, 616, 0, 304, 0, 0, 0, 0, 0, -232, -40, 0, 296, 0, 0, 448, -408, 0, 0, 704, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, -128, -576, 0, 1176, 0, 0, 0, -288, 0, 0, 120, 0, 0, 192, 0, -136, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 600, 488, 0, 0, -648, 0, 0, 224, 0, 168, 0, 0, 0, 0, 0, 328, -848, 0, 464, 0, 0, 56, 560, 0, 0, -208, 0, 0, -608, 0, -584, 0, 0, 0, 0, 0, -88, 104, 0, -40, 0, 0, 128, 0, 0, 0, -1168, 0, 0, -144, 0, 808, 0, 0, 0, 0, 0, 256, -304, 0, -416, 0, 0, -176, 64, 0, 0, 368, 0, 0, -688, 0, -600, 0, 0, 0, 0], '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: 19254977
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 125, 'source_dim': 120, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1649300996432, 'source_is_minimal': True, 'source_label': '336.2.y.a.125.2', 'source_level': 336, 'target_conrey_index': 125, 'target_dim': 120, 'target_embedding_index': 2, 'target_hecke_orbit_code': 1649300996432, 'target_is_minimal': True, 'target_label': '336.2.y.a.125.2', 'target_level': 336, 'twist_class_label': '336.2.y.a.125.1', 'twist_class_level': 336, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 19254978
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 125, 'source_dim': 120, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1649300996432, 'source_is_minimal': True, 'source_label': '336.2.y.a.125.2', 'source_level': 336, 'target_conrey_index': 125, 'target_dim': 120, 'target_embedding_index': 60, 'target_hecke_orbit_code': 1649300996432, 'target_is_minimal': True, 'target_label': '336.2.y.a.125.60', 'target_level': 336, 'twist_class_label': '336.2.y.a.125.1', 'twist_class_level': 336, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 19254979
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 125, 'source_dim': 120, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1649300996432, 'source_is_minimal': True, 'source_label': '336.2.y.a.125.2', 'source_level': 336, 'target_conrey_index': 125, 'target_dim': 120, 'target_embedding_index': 1, 'target_hecke_orbit_code': 1649300996432, 'target_is_minimal': True, 'target_label': '336.2.y.a.125.1', 'target_level': 336, 'twist_class_label': '336.2.y.a.125.1', 'twist_class_level': 336, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 19254980
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 125, 'source_dim': 120, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1649300996432, 'source_is_minimal': True, 'source_label': '336.2.y.a.125.2', 'source_level': 336, 'target_conrey_index': 293, 'target_dim': 120, 'target_embedding_index': 59, 'target_hecke_orbit_code': 1649300996432, 'target_is_minimal': True, 'target_label': '336.2.y.a.293.59', 'target_level': 336, 'twist_class_label': '336.2.y.a.125.1', 'twist_class_level': 336, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 19254981
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 125, 'source_dim': 120, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1649300996432, 'source_is_minimal': True, 'source_label': '336.2.y.a.125.2', 'source_level': 336, 'target_conrey_index': 125, 'target_dim': 120, 'target_embedding_index': 59, 'target_hecke_orbit_code': 1649300996432, 'target_is_minimal': True, 'target_label': '336.2.y.a.125.59', 'target_level': 336, 'twist_class_label': '336.2.y.a.125.1', 'twist_class_level': 336, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 19254982
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 125, 'source_dim': 120, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1649300996432, 'source_is_minimal': True, 'source_label': '336.2.y.a.125.2', 'source_level': 336, 'target_conrey_index': 293, 'target_dim': 120, 'target_embedding_index': 1, 'target_hecke_orbit_code': 1649300996432, 'target_is_minimal': True, 'target_label': '336.2.y.a.293.1', 'target_level': 336, 'twist_class_label': '336.2.y.a.125.1', 'twist_class_level': 336, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 19254983
    {'conductor': 112, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 125, 'source_dim': 120, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1649300996432, 'source_is_minimal': True, 'source_label': '336.2.y.a.125.2', 'source_level': 336, 'target_conrey_index': 293, 'target_dim': 120, 'target_embedding_index': 60, 'target_hecke_orbit_code': 1649300996432, 'target_is_minimal': True, 'target_label': '336.2.y.a.293.60', 'target_level': 336, 'twist_class_label': '336.2.y.a.125.1', 'twist_class_level': 336, 'twisting_char_label': '112.69', 'twisting_conrey_index': 69, 'weight': 2}
  • id: 19254984
    {'conductor': 336, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 125, 'source_dim': 120, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1649300996432, 'source_is_minimal': True, 'source_label': '336.2.y.a.125.2', 'source_level': 336, 'target_conrey_index': 293, 'target_dim': 120, 'target_embedding_index': 2, 'target_hecke_orbit_code': 1649300996432, 'target_is_minimal': True, 'target_label': '336.2.y.a.293.2', 'target_level': 336, 'twist_class_label': '336.2.y.a.125.1', 'twist_class_level': 336, 'twisting_char_label': '336.293', 'twisting_conrey_index': 293, 'weight': 2}
• hecke_orbit_code 1649300996432 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': 25, 'hecke_orbit': 1, 'label': '336.2.y.a', 'level': 336, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 52083000
    {'hecke_orbit_code': 1649300996432, 'n': 1, 'trace_an': 120}
  • id: 52083001
    {'hecke_orbit_code': 1649300996432, 'n': 2, 'trace_an': 0}
  • id: 52083002
    {'hecke_orbit_code': 1649300996432, 'n': 3, 'trace_an': 0}
  • id: 52083003
    {'hecke_orbit_code': 1649300996432, 'n': 4, 'trace_an': -8}
  • id: 52083004
    {'hecke_orbit_code': 1649300996432, 'n': 5, 'trace_an': 0}
  • id: 52083005
    {'hecke_orbit_code': 1649300996432, 'n': 6, 'trace_an': 0}
  • id: 52083006
    {'hecke_orbit_code': 1649300996432, 'n': 7, 'trace_an': 0}
  • id: 52083007
    {'hecke_orbit_code': 1649300996432, 'n': 8, 'trace_an': 0}
  • id: 52083008
    {'hecke_orbit_code': 1649300996432, 'n': 9, 'trace_an': 0}
  • id: 52083009
    {'hecke_orbit_code': 1649300996432, 'n': 10, 'trace_an': 0}
  • id: 52083010
    {'hecke_orbit_code': 1649300996432, 'n': 11, 'trace_an': 0}
  • id: 52083011
    {'hecke_orbit_code': 1649300996432, 'n': 12, 'trace_an': 0}
  • id: 52083012
    {'hecke_orbit_code': 1649300996432, 'n': 13, 'trace_an': 0}
  • id: 52083013
    {'hecke_orbit_code': 1649300996432, 'n': 14, 'trace_an': 0}
  • id: 52083014
    {'hecke_orbit_code': 1649300996432, 'n': 15, 'trace_an': -8}
  • id: 52083015
    {'hecke_orbit_code': 1649300996432, 'n': 16, 'trace_an': 8}
  • id: 52083016
    {'hecke_orbit_code': 1649300996432, 'n': 17, 'trace_an': 0}
  • id: 52083017
    {'hecke_orbit_code': 1649300996432, 'n': 18, 'trace_an': -32}
  • id: 52083018
    {'hecke_orbit_code': 1649300996432, 'n': 19, 'trace_an': 0}
  • id: 52083019
    {'hecke_orbit_code': 1649300996432, 'n': 20, 'trace_an': 0}
  • id: 52083020
    {'hecke_orbit_code': 1649300996432, 'n': 21, 'trace_an': -8}
  • id: 52083021
    {'hecke_orbit_code': 1649300996432, 'n': 22, 'trace_an': 16}
  • id: 52083022
    {'hecke_orbit_code': 1649300996432, 'n': 23, 'trace_an': 0}
  • id: 52083023
    {'hecke_orbit_code': 1649300996432, 'n': 24, 'trace_an': 0}
  • id: 52083024
    {'hecke_orbit_code': 1649300996432, 'n': 25, 'trace_an': 0}
  • id: 52083025
    {'hecke_orbit_code': 1649300996432, 'n': 26, 'trace_an': 0}
  • id: 52083026
    {'hecke_orbit_code': 1649300996432, 'n': 27, 'trace_an': 0}
  • id: 52083027
    {'hecke_orbit_code': 1649300996432, 'n': 28, 'trace_an': 0}
  • id: 52083028
    {'hecke_orbit_code': 1649300996432, 'n': 29, 'trace_an': 0}
  • id: 52083029
    {'hecke_orbit_code': 1649300996432, 'n': 30, 'trace_an': -16}
  • id: 52083030
    {'hecke_orbit_code': 1649300996432, 'n': 31, 'trace_an': 0}
  • id: 52083031
    {'hecke_orbit_code': 1649300996432, 'n': 32, 'trace_an': 0}
  • id: 52083032
    {'hecke_orbit_code': 1649300996432, 'n': 33, 'trace_an': 0}
  • id: 52083033
    {'hecke_orbit_code': 1649300996432, 'n': 34, 'trace_an': 0}
  • id: 52083034
    {'hecke_orbit_code': 1649300996432, 'n': 35, 'trace_an': 0}
  • id: 52083035
    {'hecke_orbit_code': 1649300996432, 'n': 36, 'trace_an': -8}
  • id: 52083036
    {'hecke_orbit_code': 1649300996432, 'n': 37, 'trace_an': -8}
  • id: 52083037
    {'hecke_orbit_code': 1649300996432, 'n': 38, 'trace_an': 0}
  • id: 52083038
    {'hecke_orbit_code': 1649300996432, 'n': 39, 'trace_an': 0}
  • id: 52083039
    {'hecke_orbit_code': 1649300996432, 'n': 40, 'trace_an': 0}
  • id: 52083040
    {'hecke_orbit_code': 1649300996432, 'n': 41, 'trace_an': 0}
  • id: 52083041
    {'hecke_orbit_code': 1649300996432, 'n': 42, 'trace_an': -24}
  • id: 52083042
    {'hecke_orbit_code': 1649300996432, 'n': 43, 'trace_an': -8}
  • id: 52083043
    {'hecke_orbit_code': 1649300996432, 'n': 44, 'trace_an': 0}
  • id: 52083044
    {'hecke_orbit_code': 1649300996432, 'n': 45, 'trace_an': 0}
  • id: 52083045
    {'hecke_orbit_code': 1649300996432, 'n': 46, 'trace_an': -24}
  • id: 52083046
    {'hecke_orbit_code': 1649300996432, 'n': 47, 'trace_an': 0}
  • id: 52083047
    {'hecke_orbit_code': 1649300996432, 'n': 48, 'trace_an': 0}
  • id: 52083048
    {'hecke_orbit_code': 1649300996432, 'n': 49, 'trace_an': -8}
  • id: 52083049
    {'hecke_orbit_code': 1649300996432, 'n': 50, 'trace_an': 0}
  • id: 52083050
    {'hecke_orbit_code': 1649300996432, 'n': 51, 'trace_an': -56}
  • id: 52083051
    {'hecke_orbit_code': 1649300996432, 'n': 52, 'trace_an': 0}
  • id: 52083052
    {'hecke_orbit_code': 1649300996432, 'n': 53, 'trace_an': 0}
  • id: 52083053
    {'hecke_orbit_code': 1649300996432, 'n': 54, 'trace_an': 0}
  • id: 52083054
    {'hecke_orbit_code': 1649300996432, 'n': 55, 'trace_an': 0}
  • id: 52083055
    {'hecke_orbit_code': 1649300996432, 'n': 56, 'trace_an': 0}
  • id: 52083056
    {'hecke_orbit_code': 1649300996432, 'n': 57, 'trace_an': 0}
  • id: 52083057
    {'hecke_orbit_code': 1649300996432, 'n': 58, 'trace_an': 40}
  • id: 52083058
    {'hecke_orbit_code': 1649300996432, 'n': 59, 'trace_an': 0}
  • id: 52083059
    {'hecke_orbit_code': 1649300996432, 'n': 60, 'trace_an': -96}
  • id: 52083060
    {'hecke_orbit_code': 1649300996432, 'n': 61, 'trace_an': 0}
  • id: 52083061
    {'hecke_orbit_code': 1649300996432, 'n': 62, 'trace_an': 0}
  • id: 52083062
    {'hecke_orbit_code': 1649300996432, 'n': 63, 'trace_an': 24}
  • id: 52083063
    {'hecke_orbit_code': 1649300996432, 'n': 64, 'trace_an': -56}
  • id: 52083064
    {'hecke_orbit_code': 1649300996432, 'n': 65, 'trace_an': 0}
  • id: 52083065
    {'hecke_orbit_code': 1649300996432, 'n': 66, 'trace_an': 0}
  • id: 52083066
    {'hecke_orbit_code': 1649300996432, 'n': 67, 'trace_an': 24}
  • id: 52083067
    {'hecke_orbit_code': 1649300996432, 'n': 68, 'trace_an': 0}
  • id: 52083068
    {'hecke_orbit_code': 1649300996432, 'n': 69, 'trace_an': 0}
  • id: 52083069
    {'hecke_orbit_code': 1649300996432, 'n': 70, 'trace_an': -80}
  • id: 52083070
    {'hecke_orbit_code': 1649300996432, 'n': 71, 'trace_an': 0}
  • id: 52083071
    {'hecke_orbit_code': 1649300996432, 'n': 72, 'trace_an': -8}
  • id: 52083072
    {'hecke_orbit_code': 1649300996432, 'n': 73, 'trace_an': 0}
  • id: 52083073
    {'hecke_orbit_code': 1649300996432, 'n': 74, 'trace_an': 0}
  • id: 52083074
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  • id: 52083090
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  • id: 52083100
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  • id: 52083219
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  • id: 52083279
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  • id: 52083280
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  • id: 52083282
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  • id: 52083283
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  • id: 52083284
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  • id: 52083285
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  • id: 52083286
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  • id: 52083287
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  • id: 52083288
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  • id: 52083289
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  • id: 52083290
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  • id: 52083291
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  • id: 52083292
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  • id: 52083293
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  • id: 52083294
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  • id: 52083295
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  • id: 52083296
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  • id: 52083297
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  • id: 52083298
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  • id: 52083300
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  • id: 52083302
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  • id: 52083303
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  • id: 52083310
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  • id: 52083311
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  • id: 52083312
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  • id: 52083314
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  • id: 52083315
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  • id: 52083316
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  • id: 52083317
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  • id: 52083318
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  • id: 52083319
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  • id: 52083320
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  • id: 52083321
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  • id: 52083322
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  • id: 52083323
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  • id: 52083324
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  • id: 52083325
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  • id: 52083328
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  • id: 52083330
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  • id: 52083331
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  • id: 52083332
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  • id: 52083333
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  • id: 52083334
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  • id: 52083335
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  • id: 52083336
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  • id: 52083337
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  • id: 52083338
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  • id: 52083339
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  • id: 52083340
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  • id: 52083341
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  • id: 52083342
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  • id: 52083343
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  • id: 52083344
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  • id: 52083345
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  • id: 52083346
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  • id: 52083347
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  • id: 52083348
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  • id: 52083349
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  • id: 52083350
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  • id: 52083351
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  • id: 52083352
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  • id: 52083353
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  • id: 52083354
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  • id: 52083355
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  • id: 52083356
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  • id: 52083361
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  • id: 52083363
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  • id: 52083364
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  • id: 52083365
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  • id: 52083367
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  • id: 52083370
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  • id: 52083371
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  • id: 52083372
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  • id: 52083373
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  • id: 52083374
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  • id: 52083377
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  • id: 52083378
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  • id: 52083379
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  • id: 52083380
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  • id: 52083381
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  • id: 52083382
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  • id: 52083383
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  • id: 52083384
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  • id: 52083385
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  • id: 52083386
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  • id: 52083387
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  • id: 52083388
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  • id: 52083389
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  • id: 52083390
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  • id: 52083391
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  • id: 52083392
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  • id: 52083393
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  • id: 52083394
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  • id: 52083395
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  • id: 52083396
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  • id: 52083397
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  • id: 52083398
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  • id: 52083399
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  • id: 52083400
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  • id: 52083402
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  • id: 52083404
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  • id: 52083406
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  • id: 52083407
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  • id: 52083408
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  • id: 52083409
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  • id: 52083410
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  • id: 52083411
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  • id: 52083412
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  • id: 52083413
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  • id: 52083414
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  • id: 52083415
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  • id: 52083416
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  • id: 52083417
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  • id: 52083418
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  • id: 52083419
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  • id: 52083420
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  • id: 52083421
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  • id: 52083422
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  • id: 52083423
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  • id: 52083424
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  • id: 52083425
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  • id: 52083426
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  • id: 52083427
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  • id: 52083428
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  • id: 52083429
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  • id: 52083430
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  • id: 52083431
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  • id: 52083432
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  • id: 52083433
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  • id: 52083434
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  • id: 52083435
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  • id: 52083436
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  • id: 52083437
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  • id: 52083438
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  • id: 52083439
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  • id: 52083440
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  • id: 52083446
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  • id: 52083448
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  • id: 52083471
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  • id: 52083482
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  • id: 52083483
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  • id: 52083486
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  • id: 52083487
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  • id: 52083488
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  • id: 52083489
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  • id: 52083490
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  • id: 52083491
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  • id: 52083492
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  • id: 52083493
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  • id: 52083494
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  • id: 52083495
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  • id: 52083496
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  • id: 52083497
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  • id: 52083498
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  • id: 52083499
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  • id: 52083500
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  • id: 52083502
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  • id: 52083503
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  • id: 52083505
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  • id: 52083507
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  • id: 52083508
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  • id: 52083510
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  • id: 52083511
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  • id: 52083512
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  • id: 52083513
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  • id: 52083514
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  • id: 52083515
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  • id: 52083516
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  • id: 52083517
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  • id: 52083518
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  • id: 52083519
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  • id: 52083520
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  • id: 52083521
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  • id: 52083522
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  • id: 52083523
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  • id: 52083524
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  • id: 52083525
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  • id: 52083526
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  • id: 52083527
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  • id: 52083528
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  • id: 52083529
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  • id: 52083530
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  • id: 52083531
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  • id: 52083532
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  • id: 52083533
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  • id: 52083535
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  • id: 52083536
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  • id: 52083537
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  • id: 52083538
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  • id: 52083539
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  • id: 52083540
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  • id: 52083541
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  • id: 52083542
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  • id: 52083543
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  • id: 52083544
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  • id: 52083545
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  • id: 52083546
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  • id: 52083547
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  • id: 52083548
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  • id: 52083549
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  • id: 52083550
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  • id: 52083551
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  • id: 52083552
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  • id: 52083553
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  • id: 52083554
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  • id: 52083558
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  • id: 52083560
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  • id: 52083561
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  • id: 52083563
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  • id: 52083564
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  • id: 52083572
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  • id: 52083574
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  • id: 52083576
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  • id: 52083578
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  • id: 52083583
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  • id: 52083584
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  • id: 52083585
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  • id: 52083586
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  • id: 52083587
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  • id: 52083588
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  • id: 52083589
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  • id: 52083590
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  • id: 52083591
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  • id: 52083592
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  • id: 52083593
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  • id: 52083594
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  • id: 52083595
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  • id: 52083596
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  • id: 52083597
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  • id: 52083598
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  • id: 52083600
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  • id: 52083602
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  • id: 52083603
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  • id: 52083606
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  • id: 52083610
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  • id: 52083611
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  • id: 52083612
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  • id: 52083613
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  • id: 52083614
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  • id: 52083615
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  • id: 52083616
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  • id: 52083617
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  • id: 52083618
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  • id: 52083619
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  • id: 52083620
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  • id: 52083621
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  • id: 52083622
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  • id: 52083623
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  • id: 52083624
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  • id: 52083625
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  • id: 52083626
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  • id: 52083627
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  • id: 52083628
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  • id: 52083629
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  • id: 52083630
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  • id: 52083631
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  • id: 52083632
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  • id: 52083633
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  • id: 52083634
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  • id: 52083636
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  • id: 52083637
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  • id: 52083638
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  • id: 52083639
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  • id: 52083640
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  • id: 52083641
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  • id: 52083642
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  • id: 52083643
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  • id: 52083882
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  • id: 52083883
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  • id: 52083884
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  • id: 52083885
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  • id: 52083886
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  • id: 52083887
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  • id: 52083888
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  • id: 52083889
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  • id: 52083890
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  • id: 52083891
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  • id: 52083892
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  • id: 52083893
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  • id: 52083894
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  • id: 52083895
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  • id: 52083896
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  • id: 52083897
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  • id: 52083898
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  • id: 52083899
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  • id: 52083900
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  • id: 52083901
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  • id: 52083902
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  • id: 52083903
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  • id: 52083904
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  • id: 52083905
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  • id: 52083906
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  • id: 52083907
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  • id: 52083908
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  • id: 52083909
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  • id: 52083910
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  • id: 52083911
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  • id: 52083912
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  • id: 52083913
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  • id: 52083914
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  • id: 52083915
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  • id: 52083916
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  • id: 52083917
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  • id: 52083918
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  • id: 52083919
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  • id: 52083920
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  • id: 52083921
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  • id: 52083922
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  • id: 52083923
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  • id: 52083924
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  • id: 52083925
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  • id: 52083926
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  • id: 52083927
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  • id: 52083928
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  • id: 52083929
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  • id: 52083930
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  • id: 52083931
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  • id: 52083932
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  • id: 52083933
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  • id: 52083934
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  • id: 52083935
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  • id: 52083936
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  • id: 52083937
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  • id: 52083938
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  • id: 52083939
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  • id: 52083940
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  • id: 52083941
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  • id: 52083942
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  • id: 52083943
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  • id: 52083944
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  • id: 52083945
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  • id: 52083946
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  • id: 52083947
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  • id: 52083948
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  • id: 52083949
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  • id: 52083950
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  • id: 52083951
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  • id: 52083952
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  • id: 52083953
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  • id: 52083954
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  • id: 52083955
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  • id: 52083956
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  • id: 52083957
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  • id: 52083958
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  • id: 52083959
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  • id: 52083960
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  • id: 52083961
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  • id: 52083962
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  • id: 52083963
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  • id: 52083964
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  • id: 52083965
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  • id: 52083966
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  • id: 52083967
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  • id: 52083968
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  • id: 52083969
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  • id: 52083970
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  • id: 52083971
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  • id: 52083972
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  • id: 52083973
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  • id: 52083974
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  • id: 52083975
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  • id: 52083976
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  • id: 52083977
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  • id: 52083978
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  • id: 52083979
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  • id: 52083980
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  • id: 52083981
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  • id: 52083982
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  • id: 52083983
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  • id: 52083984
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  • id: 52083985
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  • id: 52083986
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  • id: 52083987
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  • id: 52083988
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  • id: 52083989
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  • id: 52083990
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  • id: 52083991
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  • id: 52083992
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  • id: 52083993
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  • id: 52083994
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  • id: 52083995
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  • id: 52083996
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  • id: 52083997
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  • id: 52083998
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  • id: 52083999
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