Embedded newform data - 585.2.bt.b.376.3

Formats: - HTML - YAML - JSON - 2024-04-25T14:28:21.557968

• 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': 2340, 'analytic_conductor': 4.671248518244902, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 117, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 46, 'char_orbit_label': 'bt', 'char_order': 6, 'char_parity': 1, 'char_values': [585, 6, [326, 352, 496], [4, 6, 3]], 'cm_discs': [], 'conrey_index': 376, 'conrey_indexes': [376, 571], 'dim': 108, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [1679616, 0, -645077520, 0, 207986575905, 0, -13403025785016, 0, 571426360165638, 0, -13669165919878920, 0, 227532377812276935, 0, -2608590008749321692, 0, 22163234466847868046, 0, -143835706055502434430, 0, 738285852318835293567, 0, -3071843633794295357424, 0, 10576713534967074171108, 0, -30609722253266032025844, 0, 75420945741005663885794, 0, -159867945535602617001824, 0, 294126059241198238163703, 0, -473316060229287674611044, 0, 670773755333636483228703, 0, -842246045326334970880800, 0, 942086206223990175148175, 0, -943247435974770937577584, 0, 848999572769416892234751, 0, -689582719800823888702818, 0, 507128231263498837658364, 0, -338671059959412571820514, 0, 205911172596605210704171, 0, -114231343122259726379882, 0, 57931858177087397298669, 0, -26901125401185685627788, 0, 11452934306857721515785, 0, -4475203590992428688376, 0, 1606209272097885368850, 0, -529805562651938209992, 0, 160647743518776343158, 0, -44779398121306074390, 0, 11471121401863195773, 0, -2699001550017530640, 0, 582733106368599651, 0, -115303228587833916, 0, 20872150648146381, 0, -3448872448300682, 0, 518730124869562, 0, -70764250326246, 0, 8716749266898, 0, -964097691276, 0, 95063249334, 0, -8280112066, 0, 629426852, 0, -41081196, 0, 2249817, 0, -99900, 0, 3402, 0, -80, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4506692037378633, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 3, 1, 3, 0], [1, 1, 13, 2, 1, 2, 0], [1, 1, 117, 20, 1, 6, 0]], 'is_cm': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '585.2.bt.b', 'level': 585, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 13], 'level_radical': 195, 'minimal_twist': '585.2.bt.b', 'prim_orbit_index': 20, 'related_objects': [], 'relative_dim': 54, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '585.2.bt', 'trace_display': [0, -6, 0, 0], 'traces': [108, 0, -6, 52, 0, 0, 0, 0, -14, -8, 0, -36, -4, -8, 0, -64, 36, 0, 0, 0, 0, 24, -22, 0, 54, 40, 48, 0, -16, 20, 0, 0, 0, 0, -40, -76, 0, -12, 26, 0, 0, -52, -6, 0, 0, 0, 0, -68, 58, 0, 34, 22, -116, 0, 24, 40, 0, 0, 0, 0, 18, 152, 0, -216, 2, -72, 0, 0, -134, 0, 0, 0, 0, 32, 0, 0, 40, -34, 18, 0, 34, 88, 0, 0, 0, 0, 60, 0, 0, 8, 16, 176, 0, -76, -56, 0, 0, 0, 0, 104, -42, 0, 4, 28, -12, 0, -84, -48, 0, 0, 0, 0, 58, -4, 0, -80, 4, 48, 0, 72, 18, 0, 0, 0, 0, -160, -32, 0, 44, -12, 102, 0, 44, -16, 0, 0, 0, 0, -26, -12, 0, -4, -176, -28, 0, -160, 38, 0, 0, 0, 0, -224, -26, 0, -16, 176, -114, 0, -194, -16, 0, 0, 0, 0, -8, 0, 0, 412, -22, -80, 0, -40, -154, 0, 0, 0, 0, 48, 36, 0, -76, -178, -152, 0, 36, -144, 0, 0, 0, 0, 62, -68, 0, 56, -24, -124, 0, 312, -20, 0, 0, 0, 0, 304, 4, 0, 100, -124, -8, 0, 34, -92, 0, 0, 0, 0, -80, -12, 0, -24, -46, 84, 0, 528, 2, 0, 0, 0, 0, 44, 232, 0, -76, 104, -64, 0, 324, -64, 0, 0, 0, 0, 114, 88, 0, -12, -40, 84, 0, -4, 28, 0, 0, 0, 0, -144, -94, 0, 100, 60, -84, 0, 66, 260, 0, 0, 0, 0, -72, 44, 0, -92, 134, -48, 0, -380, -20, 0, 0, 0, 0, -220, -10, 0, 60, 0, -456, 0, 200, -96, 0, 0, 0, 0, -12, 80, 0, 16, 2, -24, 0, -108, -184, 0, 0, 0, 0, 264, -40, 0, 68, -14, -52, 0, -96, 136, 0, 0, 0, 0, 286, -20, 0, -172, -8, 320, 0, 204, -236, 0, 0, 0, 0, -56, -52, 0, 34, 52, 366, 0, 24, -88, 0, 0, 0, 0, 78, -544, 0, -16, -202, 216, 0, -320, 44, 0, 0, 0, 0, 180, 172, 0, -150, 4, 4, 0, -58, 944, 0, 0, 0, 0, 102, -56, 0, 72, 356, -340, 0, 128, 20, 0, 0, 0, 0, -376, 58, 0, 214, -158, 70, 0, 42, -224, 0, 0, 0, 0, 20, 64, 0, -64, -92, 8, 0, 32, -192, 0, 0, 0, 0, 204, 144, 0, -96, -252, 6, 0, -130, -92, 0, 0, 0, 0, 18, 64, 0, 4, -248, 20, 0, -272, -196, 0, 0, 0, 0, -144, -98, 0, 420, 56, 170, 0, -12, 228, 0, 0, 0, 0, -96, 32, 0, -204, -8, 328, 0, 8, 88, 0, 0, 0, 0, 244, -96, 0, 20, 78, 96, 0, 182, -252, 0, 0, 0, 0, -74, -712, 0, -216, -8, 288, 0, -100, 232, 0, 0, 0, 0, 12, -32, 0, -76, 440, -68, 0, 172, 856, 0, 0, 0, 0, -364, 88, 0, 148, 196, 176, 0, -60, 40, 0, 0, 0, 0, -208, 120, 0, -56, 24, -160, 0, -24, -80, 0, 0, 0, 0, -112, -216, 0, 200, 150, -492, 0, -448, -126, 0, 0, 0, 0, 20, -390, 0, -40, -88, -96, 0, -10, 48, 0, 0, 0, 0, 4, 324, 0, -420, 4, 52, 0, 156, -326, 0, 0, 0, 0, -48, 0, 0, 128, -516, 496, 0, -44, 204, 0, 0, 0, 0, 0, 300, 0, -680, 102, -96, 0, -608, 32, 0, 0, 0, 0, 84, -16, 0, -270, -194, 138, 0, 122, -24, 0, 0, 0, 0, -194, -116, 0, -44, 496, -488, 0, -200, 100, 0, 0, 0, 0, -16, -14, 0, -48, 320, -54, 0, -392, 224, 0, 0, 0, 0, -198, 124, 0, -440, 86, 304, 0, 0, -124, 0, 0, 0, 0, -272, -60, 0, -120, 20, -312, 0, -36, -212, 0, 0, 0, 0, -128, 196, 0, -176, -130, -96, 0, 120, 88, 0, 0, 0, 0, 668, 106, 0, 6, 168, 148, 0, 196, -224, 0, 0, 0, 0, -72, 32, 0, 160, 38, 216, 0, -8, 64, 0, 0, 0, 0, 556, -54, 0, -628, 308, 80, 0, 4, -240, 0, 0, 0, 0, -410, 528, 0, 80, 96, 104, 0, -8, 408, 0, 0, 0, 0, 208, 16, 0, 158, -636, 100, 0, 54, 196, 0, 0, 0, 0, 256, 720, 0, -216, 536, 156, 0, -264, 16, 0, 0, 0, 0, 16, -140, 0, 298, 8, -120, 0, -124, -656, 0, 0, 0, 0, -56, 184, 0, 184, -252, -508, 0, 176, -238, 0, 0, 0, 0, -164, 172, 0, 356, -8, 132, 0, 156, 64, 0, 0, 0, 0, 24, 4, 0, 1160, 248, -260, 0, -64, 52, 0, 0, 0, 0, -184, -120, 0, 4, -348, 224, 0, 356, -136, 0, 0, 0, 0, 96, 540, 0, 264, -496, 16, 0, 484, -34, 0, 0, 0, 0, 604, -432, 0, 208, -158, -130, 0, 88, -1056, 0, 0, 0, 0, -118, 480, 0, 56, -40, -208, 0, -84, -374, 0, 0, 0, 0, -1056, 12, 0, -72, -52, -250, 0, -272, -48, 0, 0, 0, 0, -528, -176, 0, 308, -156, -904, 0, -232, -20, 0, 0, 0, 0, 144, 380, 0, 72, -96, 116, 0, 398, -4, 0, 0, 0, 0, 440, 292, 0, 604, -172, -108, 0, -56, -516, 0, 0, 0, 0, 464, 54, 0, -34, -172, 86, 0, 36, 44, 0, 0, 0, 0, -60, 160, 0, -88, 232, 240, 0, 1208, 556, 0, 0, 0, 0, -412, -260, 0, 360, -308, -100, 0, 60, -88, 0, 0, 0, 0, 336, -432, 0, 196, 52, 12, 0, 384, 1024, 0, 0, 0, 0, -240, -64, 0, -218, 464, -170, 0, 184, 332, 0, 0, 0, 0, 464, -624, 0, 256, -14, 224, 0, 320, 192, 0, 0, 0, 0, 512, 16, 0, 12, 92, 100, 0, 100, 400, 0, 0, 0, 0, -334, -208, 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], [-1.6006928301646532, -0.9241604363854664], [-0.31079996955495975, 0.9504753436700165], [1.2081450243603515, 2.092568565103668], [0.3872983346207417, -0.22360679774997896], [1.3758869912617253, -1.234190032368379], [1.189934749604229, 0.6870091480020916], [0.0, -2.6177584589482366], [-0.8068067578492721, -0.5908154157507621], [-0.8265942231495091, 0.0], [-1.6091957447547145, -0.9290695964129347], [-2.3644262628591552, 0.49794181090623985], [0.06473119292649196, -0.9979027370752689], [-1.2698133480368408, -2.19938123492895], [0.09216043732955001, 0.43761450363445004], [-1.211083775412997, 2.097658631237646], [0.6305020317792431, 0.0], [0.7454415601742344, 1.6913328853557204], [0.0, -1.5958573156884872], [0.935825111830199, 0.5402988802295771], [-1.0228169400011162, 0.9174812177919458], [1.7172187273068937, 2.9743100834043052], [0.28727744165341057, 0.49757912481211075], [2.4881148709139183, 0.8135992493433504], [0.1, -0.17320508075688773], [-1.0258369853711724, 1.5375137489353674], [0.812311001107539, -0.583224517214141], [0.0, 3.3200267353950847], [0.4389185746544577, -0.760229271687234], [0.2569054593891731, -0.7856574283236801], [-0.8195778673784396, 0.4731835023528015], [1.6101009056438704, -0.9295921912959488], [1.3831957324216837, -1.2407460762484865], [-1.0092400816732807, -0.5826850328310285], [0.6144796624387562, 0.0], [0.2615821966627941, -2.4020891644432694], [0.0, -0.46916981634825744], [-1.4748281932756113, 2.554477363188371], [0.9283634941800565, 0.3716735431447822], [-0.585348586288335, -1.0138534915900113], [0.0987635062742116, -0.05702113693352736], [2.485115585040811, -0.5233586575164232], [0.3075930205557089, -0.5327667396560659], [0.0, -4.4898032407630675], [-0.44458525685313355, -0.04841435106281283], [0.0, -1.0619617833684651], [-0.011179322805596668, -0.006454385031168959], [-1.6173680079011132, -1.8030575063742087], [0.4439631388771195, 0.7689667132229284], [-0.3201385660329306, 0.1848320872770933], [-0.19596001228132903, 0.5992766353400197], [2.1663845672896693, -1.0701567670934242], [0.147948880497984, 0.0], [-1.8392534196760328, 0.1828576138166586], [-0.8309851093630467, 0.0], [1.7984240085572962, -3.1149617563729226], [1.516823030577325, 0.4959924051300416], [-1.405147630950959, 0.8112623629807011], [0.7080210239921578, -0.40877612879378683], [-0.804395180136325, 0.7215538192559087], [0.33430682279228835, -0.5790364023931686], [1.7491898880990737, 0.0], [-0.554151801978941, -1.2573154171160599], [-1.01420174984835, 0.0], [-0.19806755228489584, -0.40096040294756047], [-3.360719926871092, 0.7077585766245404], [-1.2836951669142609, 0.7411417501753701], [0.7617378925431847, 1.3193687319352378], [-0.5622225097785237, 0.11840254824138097], [-0.9835931899477134, -0.5678777929893951], [0.0, 0.5336927099299917], [-1.546612052258577, 2.112025215096534], [0.0, -1.387860399316318], [-0.4335881822152947, 0.7509967611583227], [0.13354716170229985, 0.14887966819300671], [3.3394408532004483, -1.9280270755381124], [-1.2765586237325948, -2.2110643951450553], [-1.1425388050950067, -1.4528919875795232], [-0.22706770594738981, 0.3932928034589889], [0.0, 1.08322625930822], [0.3018742890225082, 0.9533477401384844], [-0.21078671516673633, 0.0], [1.3717868291418929, 0.792001495075855], [-3.1556035523182864, -1.0318642082824447], [0.2441923868830948, -0.140984540301012], [-0.984723885224424, 0.5685306002117754], [0.5861632986352183, 0.653460517583031], [-2.432079794961584, 4.212485772935161], [0.0, -0.7121274979792], [0.6669018052361934, 0.48836460960725553], [0.762594205033604, -1.1429682218694466], [-0.6941456234890783, 1.2022954877346599], [-0.19502447578862322, -0.9260539732860216], [0.011929774574009854, 0.020662975685028426], [-0.3568445440269799, -0.6180728806584783], [0.38313514504045265, 1.819278436388572], [1.2710758977765435, 0.7338560117417327], [0.0, -1.6411726726549607], [0.7494013617042953, 1.7003172818598655], [0.48325800974414057, 0.0], [0.565925174792646, -0.9802111560231607], [0.8674995434891475, -0.7781593230099527], [-0.5447912591866975, -0.943606140430785], [-2.6122683311863835, -0.1694506278411346], [-0.1909802603781074, 0.5840477683347126], [-0.23682071224401005, -0.1367285019637581], [-0.28672781287582366, 0.0], [2.2018267853413236, 0.9951966674482939], [0.0, -0.42377485695403183], [1.330151906531019, 0.7679635612987777], [0.4459343424332085, 0.14581796463714447], [-2.882221338091618, 1.6640512654112791], [-0.2426383363742462, -0.42026192646418203], [-1.9695911921048883, -2.195719320565646], [0.22252414945294638, 0.1284743775878511], [2.1211091682724823, 0.0], [-0.6418018843806872, 0.7668704852877043], [-1.5110989022801105, 0.0], [0.7502562773101913, 0.43316066366624545], [1.1455690686475155, -0.24125376439979837], [1.2263406299577868, 2.1240842784729104], [-1.0702450686374825, 0.61790627847672], [0.02350148998018345, 0.1115944451909666], [-1.9803378450982596, -1.1433485879538836], [0.0, -0.08944271909999159], 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'char_orbit_index': 46, 'conrey_index': 376, 'dual_conrey_index': 571, 'dual_embedding_index': 3, 'dual_embedding_m': 57, 'embedding_index': 3, 'embedding_m': 3, 'hecke_orbit': 2, 'hecke_orbit_code': 4506692037378633, 'label': '585.2.bt.b.376.3', 'level': 585, 'weight': 2}
• 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': 2340, 'analytic_conductor': 4.671248518244902, 'char_conductor': 117, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 46, 'char_orbit_label': 'bt', 'char_order': 6, 'char_parity': 1, 'char_values': [585, 6, [326, 352, 496], [4, 6, 3]], 'conrey_index': 376, 'cusp_dim': 160, 'dim': 112, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 3092410008137, 'hecke_orbit_dims': [4, 108], 'label': '585.2.bt', 'level': 585, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 13], 'level_radical': 195, 'mf_dim': 176, 'mf_new_dim': 112, 'num_forms': 2, 'prim_orbit_index': 20, 'relative_dim': 56, 'sturm_bound': 168, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [112, 0, 0, 56, 0, 0, 0, 0, -8, 0, 0, -24, 2, 0, 0, -56, 32, 0, 0, 0, 0, 0, -24, 0, 56, 24, 48, 0, -20, 32, 0, 0, 0, 0, -32, -52, 0, -44, 44, 0, 0, -28, -16, 0, 0, 0, 0, -68, 52, 0, 28, 10, -80, 0, 0, 40, 0, 0, 0, 0, 28, 88, 0, -184, -2, -144, 0, -4, -140, 0, 0, 0, 0, 40, 0, 0, 16, -58, 16, 0, 16, 72, 0, 0, 0, 0, 60, 0, 0, 20, 0, 180, 0, -36, -40, 0, 0, 0, 0, 112, -56, 0, -28, 28, 0, 0, -16, -12, 0, 0, 0, 0, 20, -4, 0, -96, 40, 0, 0, 72, 68, 0, 0, 0, 0, -112, -32, 0, 44, 0, 72, 0, 12, -16, 0, 0, 0, 0, -4, -4, 0, 36, -128, -52, 0, -176, 20, 0, 0, 0, 0, -224, -32, 0, -32, 176, -88, 0, -140, 0, 0, 0, 0, 0, -44, 0, 0, 412, -32, -88, 0, -80, -180, 0, 0, 0, 0, 48, 96, 0, 8, -202, -152, 0, 32, -240, 0, 0, 0, 0, 24, -20, 0, 16, -24, -112, 0, 168, -8, 0, 0, 0, 0, 292, 0, 0, 88, -76, 88, 0, 64, -56, 0, 0, 0, 0, -144, 68, 0, -48, -52, 84, 0, 592, -4, 0, 0, 0, 0, 40, 160, 0, -152, 80, -24, 0, 324, -72, 0, 0, 0, 0, 60, 128, 0, -36, -72, 84, 0, 0, 40, 0, 0, 0, 0, -176, -88, 0, 108, 44, -72, 0, 48, 260, 0, 0, 0, 0, -128, 44, 0, -100, 110, -24, 0, -380, -40, 0, 0, 0, 0, -100, 52, 0, 108, 72, -472, 0, 136, -104, 0, 0, 0, 0, -24, 80, 0, 0, 8, -12, 0, -92, -184, 0, 0, 0, 0, 312, -136, 0, 84, -14, -32, 0, -84, 128, 0, 0, 0, 0, 388, -12, 0, -136, 4, 320, 0, 204, -196, 0, 0, 0, 0, -72, -52, 0, 28, 4, 252, 0, 216, 8, 0, 0, 0, 0, 88, -568, 0, 0, -148, 24, 0, -392, 24, 0, 0, 0, 0, 180, -8, 0, 0, -12, 12, 0, -100, 928, 0, 0, 0, 0, 64, -32, 0, 72, 332, -268, 0, 96, 20, 0, 0, 0, 0, -344, 88, 0, 260, -122, 72, 0, -48, -144, 0, 0, 0, 0, 20, 56, 0, -64, -60, -48, 0, 0, -216, 0, 0, 0, 0, 268, 96, 0, -96, -284, 72, 0, -160, -68, 0, 0, 0, 0, 16, 64, 0, 72, -176, 0, 0, -344, -176, 0, 0, 0, 0, -144, -148, 0, 384, 72, 128, 0, -12, 172, 0, 0, 0, 0, -48, 108, 0, -204, 4, 328, 0, 216, 88, 0, 0, 0, 0, 260, -96, 0, -64, 114, 96, 0, 260, -252, 0, 0, 0, 0, -20, -552, 0, -216, 0, 408, 0, -200, 192, 0, 0, 0, 0, 0, 0, 0, -72, 248, -104, 0, 212, 856, 0, 0, 0, 0, -464, 88, 0, 124, 196, 176, 0, -72, 24, 0, 0, 0, 0, -268, 0, 0, -56, 24, -120, 0, 56, -20, 0, 0, 0, 0, -68, -144, 0, 72, 158, -492, 0, -448, -36, 0, 0, 0, 0, -92, -264, 0, -80, -88, -88, 0, -40, 0, 0, 0, 0, 0, -8, 280, 0, -516, -56, 68, 0, 156, -404, 0, 0, 0, 0, -48, -60, 0, 88, -468, 496, 0, -48, 252, 0, 0, 0, 0, 0, 180, 0, -680, 114, -48, 0, -608, -96, 0, 0, 0, 0, -132, -24, 0, -252, -186, 124, 0, 112, -104, 0, 0, 0, 0, -172, 12, 0, -24, 416, -512, 0, -184, 100, 0, 0, 0, 0, -80, -32, 0, -48, 392, -56, 0, -392, 172, 0, 0, 0, 0, -108, 228, 0, -332, 104, 400, 0, 0, -112, 0, 0, 0, 0, -240, -128, 0, 24, 12, -408, 0, -104, -212, 0, 0, 0, 0, -128, 124, 0, -144, -148, -96, 0, 96, 96, 0, 0, 0, 0, 764, 44, 0, -12, 128, 160, 0, 156, -224, 0, 0, 0, 0, -48, 112, 0, 200, 92, 204, 0, -112, -80, 0, 0, 0, 0, 564, -168, 0, -784, 308, 144, 0, 64, -216, 0, 0, 0, 0, -404, 528, 0, 56, 60, 164, 0, -48, 264, 0, 0, 0, 0, 292, 20, 0, 232, -636, -8, 0, 64, 256, 0, 0, 0, 0, 256, 696, 0, -208, 440, 228, 0, -264, 12, 0, 0, 0, 0, 16, -76, 0, 316, 24, -104, 0, -8, -584, 0, 0, 0, 0, 24, 32, 0, -24, -228, -604, 0, 128, -220, 0, 0, 0, 0, -164, 172, 0, 324, -32, 12, 0, 192, 16, 0, 0, 0, 0, 24, 0, 0, 1160, 308, -148, 0, -52, -16, 0, 0, 0, 0, 72, -72, 0, 0, -444, 140, 0, 536, -172, 0, 0, 0, 0, 96, 540, 0, 264, -520, 0, 0, 556, 32, 0, 0, 0, 0, 592, -488, 0, 208, -110, -124, 0, 84, -672, 0, 0, 0, 0, -68, 448, 0, -4, -88, 32, 0, -12, -188, 0, 0, 0, 0, -976, 108, 0, -52, -52, -152, 0, -296, 48, 0, 0, 0, 0, -624, -240, 0, 308, -156, -904, 0, -168, -16, 0, 0, 0, 0, 96, 488, 0, 280, -84, 116, 0, 448, -4, 0, 0, 0, 0, 280, 268, 0, 604, -172, -252, 0, -44, -552, 0, 0, 0, 0, 512, 100, 0, 8, -204, 40, 0, 36, 12, 0, 0, 0, 0, -80, 160, 0, -96, 272, 240, 0, 1032, 364, 0, 0, 0, 0, -488, -212, 0, 384, -308, -32, 0, 60, -48, 0, 0, 0, 0, 336, -192, 0, 184, 36, 44, 0, 384, 1000, 0, 0, 0, 0, -312, -40, 0, -152, 512, -68, 0, 192, 332, 0, 0, 0, 0, 704, -624, 0, 160, 4, 184, 0, 320, 192, 0, 0, 0, 0, 512, -24, 0, 132, 156, 120, 0, 200, 272, 0, 0, 0, 0, -448, -432, 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: 39487546
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 376, 'source_dim': 108, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4506692037378633, 'source_is_minimal': True, 'source_label': '585.2.bt.b.376.3', 'source_level': 585, 'target_conrey_index': 376, 'target_dim': 108, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4506692037378633, 'target_is_minimal': True, 'target_label': '585.2.bt.b.376.3', 'target_level': 585, 'twist_class_label': '585.2.bt.b.376.3', 'twist_class_level': 585, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 39487547
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 376, 'source_dim': 108, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4506692037378633, 'source_is_minimal': True, 'source_label': '585.2.bt.b.376.3', 'source_level': 585, 'target_conrey_index': 571, 'target_dim': 108, 'target_embedding_index': 52, 'target_hecke_orbit_code': 4506692037378633, 'target_is_minimal': True, 'target_label': '585.2.bt.b.571.52', 'target_level': 585, 'twist_class_label': '585.2.bt.b.376.3', 'twist_class_level': 585, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 39487548
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 376, 'source_dim': 108, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4506692037378633, 'source_is_minimal': True, 'source_label': '585.2.bt.b.376.3', 'source_level': 585, 'target_conrey_index': 376, 'target_dim': 108, 'target_embedding_index': 52, 'target_hecke_orbit_code': 4506692037378633, 'target_is_minimal': True, 'target_label': '585.2.bt.b.376.52', 'target_level': 585, 'twist_class_label': '585.2.bt.b.376.3', 'twist_class_level': 585, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 2}
  • id: 39487549
    {'conductor': 117, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 376, 'source_dim': 108, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4506692037378633, 'source_is_minimal': True, 'source_label': '585.2.bt.b.376.3', 'source_level': 585, 'target_conrey_index': 571, 'target_dim': 108, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4506692037378633, 'target_is_minimal': True, 'target_label': '585.2.bt.b.571.3', 'target_level': 585, 'twist_class_label': '585.2.bt.b.376.3', 'twist_class_level': 585, 'twisting_char_label': '117.103', 'twisting_conrey_index': 103, 'weight': 2}
• hecke_orbit_code 4506692037378633 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': 46, 'hecke_orbit': 2, 'label': '585.2.bt.b', 'level': 585, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 99052000
    {'hecke_orbit_code': 4506692037378633, 'n': 1, 'trace_an': 108}
  • id: 99052001
    {'hecke_orbit_code': 4506692037378633, 'n': 2, 'trace_an': 0}
  • id: 99052002
    {'hecke_orbit_code': 4506692037378633, 'n': 3, 'trace_an': -6}
  • id: 99052003
    {'hecke_orbit_code': 4506692037378633, 'n': 4, 'trace_an': 52}
  • id: 99052004
    {'hecke_orbit_code': 4506692037378633, 'n': 5, 'trace_an': 0}
  • id: 99052005
    {'hecke_orbit_code': 4506692037378633, 'n': 6, 'trace_an': 0}
  • id: 99052006
    {'hecke_orbit_code': 4506692037378633, 'n': 7, 'trace_an': 0}
  • id: 99052007
    {'hecke_orbit_code': 4506692037378633, 'n': 8, 'trace_an': 0}
  • id: 99052008
    {'hecke_orbit_code': 4506692037378633, 'n': 9, 'trace_an': -14}
  • id: 99052009
    {'hecke_orbit_code': 4506692037378633, 'n': 10, 'trace_an': -8}
  • id: 99052010
    {'hecke_orbit_code': 4506692037378633, 'n': 11, 'trace_an': 0}
  • id: 99052011
    {'hecke_orbit_code': 4506692037378633, 'n': 12, 'trace_an': -36}
  • id: 99052012
    {'hecke_orbit_code': 4506692037378633, 'n': 13, 'trace_an': -4}
  • id: 99052013
    {'hecke_orbit_code': 4506692037378633, 'n': 14, 'trace_an': -8}
  • id: 99052014
    {'hecke_orbit_code': 4506692037378633, 'n': 15, 'trace_an': 0}
  • id: 99052015
    {'hecke_orbit_code': 4506692037378633, 'n': 16, 'trace_an': -64}
  • id: 99052016
    {'hecke_orbit_code': 4506692037378633, 'n': 17, 'trace_an': 36}
  • id: 99052017
    {'hecke_orbit_code': 4506692037378633, 'n': 18, 'trace_an': 0}
  • id: 99052018
    {'hecke_orbit_code': 4506692037378633, 'n': 19, 'trace_an': 0}
  • id: 99052019
    {'hecke_orbit_code': 4506692037378633, 'n': 20, 'trace_an': 0}
  • id: 99052020
    {'hecke_orbit_code': 4506692037378633, 'n': 21, 'trace_an': 0}
  • id: 99052021
    {'hecke_orbit_code': 4506692037378633, 'n': 22, 'trace_an': 24}
  • id: 99052022
    {'hecke_orbit_code': 4506692037378633, 'n': 23, 'trace_an': -22}
  • id: 99052023
    {'hecke_orbit_code': 4506692037378633, 'n': 24, 'trace_an': 0}
  • id: 99052024
    {'hecke_orbit_code': 4506692037378633, 'n': 25, 'trace_an': 54}
  • id: 99052025
    {'hecke_orbit_code': 4506692037378633, 'n': 26, 'trace_an': 40}
  • id: 99052026
    {'hecke_orbit_code': 4506692037378633, 'n': 27, 'trace_an': 48}
  • id: 99052027
    {'hecke_orbit_code': 4506692037378633, 'n': 28, 'trace_an': 0}
  • id: 99052028
    {'hecke_orbit_code': 4506692037378633, 'n': 29, 'trace_an': -16}
  • id: 99052029
    {'hecke_orbit_code': 4506692037378633, 'n': 30, 'trace_an': 20}
  • id: 99052030
    {'hecke_orbit_code': 4506692037378633, 'n': 31, 'trace_an': 0}
  • id: 99052031
    {'hecke_orbit_code': 4506692037378633, 'n': 32, 'trace_an': 0}
  • id: 99052032
    {'hecke_orbit_code': 4506692037378633, 'n': 33, 'trace_an': 0}
  • id: 99052033
    {'hecke_orbit_code': 4506692037378633, 'n': 34, 'trace_an': 0}
  • id: 99052034
    {'hecke_orbit_code': 4506692037378633, 'n': 35, 'trace_an': -40}
  • id: 99052035
    {'hecke_orbit_code': 4506692037378633, 'n': 36, 'trace_an': -76}
  • id: 99052036
    {'hecke_orbit_code': 4506692037378633, 'n': 37, 'trace_an': 0}
  • id: 99052037
    {'hecke_orbit_code': 4506692037378633, 'n': 38, 'trace_an': -12}
  • id: 99052038
    {'hecke_orbit_code': 4506692037378633, 'n': 39, 'trace_an': 26}
  • id: 99052039
    {'hecke_orbit_code': 4506692037378633, 'n': 40, 'trace_an': 0}
  • id: 99052040
    {'hecke_orbit_code': 4506692037378633, 'n': 41, 'trace_an': 0}
  • id: 99052041
    {'hecke_orbit_code': 4506692037378633, 'n': 42, 'trace_an': -52}
  • id: 99052042
    {'hecke_orbit_code': 4506692037378633, 'n': 43, 'trace_an': -6}
  • id: 99052043
    {'hecke_orbit_code': 4506692037378633, 'n': 44, 'trace_an': 0}
  • id: 99052044
    {'hecke_orbit_code': 4506692037378633, 'n': 45, 'trace_an': 0}
  • id: 99052045
    {'hecke_orbit_code': 4506692037378633, 'n': 46, 'trace_an': 0}
  • id: 99052046
    {'hecke_orbit_code': 4506692037378633, 'n': 47, 'trace_an': 0}
  • id: 99052047
    {'hecke_orbit_code': 4506692037378633, 'n': 48, 'trace_an': -68}
  • id: 99052048
    {'hecke_orbit_code': 4506692037378633, 'n': 49, 'trace_an': 58}
  • id: 99052049
    {'hecke_orbit_code': 4506692037378633, 'n': 50, 'trace_an': 0}
  • id: 99052050
    {'hecke_orbit_code': 4506692037378633, 'n': 51, 'trace_an': 34}
  • id: 99052051
    {'hecke_orbit_code': 4506692037378633, 'n': 52, 'trace_an': 22}
  • id: 99052052
    {'hecke_orbit_code': 4506692037378633, 'n': 53, 'trace_an': -116}
  • id: 99052053
    {'hecke_orbit_code': 4506692037378633, 'n': 54, 'trace_an': 0}
  • id: 99052054
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  • id: 99052055
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  • id: 99052056
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  • id: 99052057
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  • id: 99052058
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  • id: 99052059
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  • id: 99052060
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  • id: 99052061
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  • id: 99052062
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  • id: 99052063
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  • id: 99052064
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  • id: 99052065
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  • id: 99052066
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  • id: 99052067
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  • id: 99052068
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  • id: 99052069
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  • id: 99052070
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  • id: 99052071
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  • id: 99052072
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  • id: 99052073
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  • id: 99052074
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  • id: 99052075
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  • id: 99052076
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  • id: 99052077
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  • id: 99052078
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  • id: 99052079
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  • id: 99052080
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  • id: 99052081
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  • id: 99052082
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  • id: 99052083
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  • id: 99052084
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  • id: 99052085
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  • id: 99052086
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  • id: 99052087
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  • id: 99052088
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  • id: 99052089
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  • id: 99052090
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  • id: 99052091
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  • id: 99052092
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  • id: 99052093
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  • id: 99052094
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  • id: 99052095
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  • id: 99052096
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  • id: 99052097
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  • id: 99052098
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  • id: 99052099
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  • id: 99052100
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  • id: 99052101
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  • id: 99052102
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  • id: 99052103
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  • id: 99052104
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  • id: 99052105
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  • id: 99052106
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  • id: 99052107
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  • id: 99052108
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  • id: 99052109
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  • id: 99052110
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  • id: 99052111
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  • id: 99052112
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  • id: 99052113
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  • id: 99052114
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  • id: 99052115
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  • id: 99052116
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  • id: 99052117
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  • id: 99052118
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  • id: 99052119
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  • id: 99052120
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  • id: 99052121
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  • id: 99052122
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  • id: 99052123
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  • id: 99052124
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  • id: 99052125
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  • id: 99052126
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  • id: 99052127
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  • id: 99052128
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  • id: 99052129
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  • id: 99052130
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  • id: 99052131
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  • id: 99052132
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  • id: 99052133
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  • id: 99052134
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  • id: 99052135
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  • id: 99052136
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  • id: 99052137
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  • id: 99052138
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  • id: 99052139
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  • id: 99052140
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  • id: 99052141
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  • id: 99052142
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  • id: 99052143
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  • id: 99052144
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  • id: 99052145
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  • id: 99052146
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  • id: 99052147
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  • id: 99052148
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  • id: 99052149
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  • id: 99052150
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  • id: 99052151
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  • id: 99052152
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  • id: 99052153
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  • id: 99052154
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  • id: 99052155
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  • id: 99052156
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  • id: 99052157
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  • id: 99052158
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  • id: 99052159
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  • id: 99052160
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  • id: 99052161
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  • id: 99052162
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  • id: 99052163
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  • id: 99052164
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  • id: 99052165
    {'hecke_orbit_code': 4506692037378633, 'n': 166, 'trace_an': 0}
  • id: 99052166
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  • id: 99052167
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  • id: 99052168
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  • id: 99052169
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  • id: 99052170
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  • id: 99052171
    {'hecke_orbit_code': 4506692037378633, 'n': 172, 'trace_an': -40}
  • id: 99052172
    {'hecke_orbit_code': 4506692037378633, 'n': 173, 'trace_an': -154}
  • id: 99052173
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  • id: 99052174
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  • id: 99052175
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  • id: 99052176
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  • id: 99052177
    {'hecke_orbit_code': 4506692037378633, 'n': 178, 'trace_an': 48}
  • id: 99052178
    {'hecke_orbit_code': 4506692037378633, 'n': 179, 'trace_an': 36}
  • id: 99052179
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  • id: 99052180
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  • id: 99052181
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  • id: 99052182
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  • id: 99052183
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  • id: 99052184
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  • id: 99052185
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  • id: 99052186
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  • id: 99052187
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  • id: 99052188
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  • id: 99052189
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  • id: 99052190
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  • id: 99052191
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  • id: 99052192
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  • id: 99052193
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  • id: 99052194
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  • id: 99052195
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  • id: 99052196
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  • id: 99052197
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  • id: 99052198
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  • id: 99052199
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  • id: 99052200
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  • id: 99052201
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  • id: 99052202
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  • id: 99052203
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  • id: 99052204
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  • id: 99052205
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  • id: 99052206
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  • id: 99052207
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  • id: 99052208
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  • id: 99052209
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  • id: 99052210
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  • id: 99052211
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  • id: 99052212
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  • id: 99052213
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  • id: 99052214
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  • id: 99052215
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  • id: 99052216
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  • id: 99052217
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  • id: 99052218
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  • id: 99052219
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  • id: 99052220
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  • id: 99052221
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  • id: 99052222
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  • id: 99052223
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  • id: 99052224
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  • id: 99052225
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  • id: 99052226
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  • id: 99052227
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  • id: 99052228
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  • id: 99052229
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  • id: 99052230
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  • id: 99052231
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  • id: 99052232
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  • id: 99052233
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  • id: 99052234
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  • id: 99052235
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  • id: 99052236
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  • id: 99052237
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  • id: 99052238
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  • id: 99052239
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  • id: 99052240
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  • id: 99052241
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  • id: 99052242
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  • id: 99052243
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  • id: 99052244
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  • id: 99052245
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  • id: 99052246
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  • id: 99052247
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  • id: 99052441
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  • id: 99052442
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  • id: 99052443
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  • id: 99052444
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  • id: 99052445
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  • id: 99052446
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  • id: 99052447
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  • id: 99052448
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  • id: 99052449
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  • id: 99052450
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  • id: 99052451
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  • id: 99052452
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  • id: 99052453
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  • id: 99052454
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  • id: 99052455
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  • id: 99052456
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  • id: 99052457
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  • id: 99052458
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  • id: 99052459
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  • id: 99052460
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  • id: 99052461
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  • id: 99052462
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  • id: 99052463
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  • id: 99052464
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  • id: 99052465
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  • id: 99052466
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  • id: 99052467
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  • id: 99052468
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  • id: 99052469
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  • id: 99052470
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  • id: 99052471
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  • id: 99052472
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  • id: 99052473
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  • id: 99052474
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  • id: 99052475
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  • id: 99052477
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  • id: 99052478
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  • id: 99052480
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  • id: 99052481
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  • id: 99052482
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  • id: 99052483
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  • id: 99052484
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  • id: 99052485
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  • id: 99052486
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  • id: 99052487
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  • id: 99052488
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  • id: 99052489
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  • id: 99052490
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  • id: 99052491
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  • id: 99052492
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  • id: 99052493
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  • id: 99052494
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  • id: 99052495
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  • id: 99052496
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  • id: 99052497
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  • id: 99052498
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  • id: 99052499
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  • id: 99052500
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  • id: 99052501
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  • id: 99052502
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  • id: 99052503
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  • id: 99052504
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  • id: 99052505
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  • id: 99052506
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  • id: 99052507
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  • id: 99052508
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  • id: 99052509
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  • id: 99052510
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  • id: 99052511
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  • id: 99052512
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  • id: 99052513
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  • id: 99052514
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  • id: 99052515
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  • id: 99052516
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  • id: 99052517
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  • id: 99052518
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  • id: 99052519
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  • id: 99052520
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  • id: 99052521
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  • id: 99052522
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  • id: 99052523
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  • id: 99052524
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  • id: 99052525
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  • id: 99052526
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  • id: 99052527
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  • id: 99052528
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  • id: 99052529
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  • id: 99052530
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  • id: 99052531
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  • id: 99052532
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  • id: 99052533
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  • id: 99052534
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  • id: 99052535
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  • id: 99052536
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  • id: 99052537
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  • id: 99052538
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  • id: 99052539
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  • id: 99052540
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  • id: 99052541
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  • id: 99052542
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  • id: 99052543
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  • id: 99052544
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  • id: 99052545
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  • id: 99052546
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  • id: 99052547
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  • id: 99052548
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  • id: 99052549
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  • id: 99052550
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  • id: 99052551
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  • id: 99052552
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  • id: 99052553
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  • id: 99052554
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  • id: 99052555
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  • id: 99052556
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  • id: 99052557
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  • id: 99052558
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  • id: 99052559
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  • id: 99052561
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  • id: 99052562
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  • id: 99052563
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  • id: 99052564
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  • id: 99052565
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  • id: 99052566
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  • id: 99052567
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  • id: 99052568
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  • id: 99052569
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  • id: 99052570
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  • id: 99052571
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  • id: 99052572
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  • id: 99052574
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  • id: 99052575
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  • id: 99052576
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  • id: 99052580
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  • id: 99052581
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  • id: 99052585
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  • id: 99052587
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  • id: 99052588
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  • id: 99052589
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  • id: 99052590
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  • id: 99052593
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  • id: 99052594
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  • id: 99052619
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  • id: 99052621
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  • id: 99052623
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  • id: 99052628
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  • id: 99052629
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  • id: 99052630
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  • id: 99052631
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  • id: 99052632
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  • id: 99052633
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  • id: 99052634
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  • id: 99052635
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  • id: 99052636
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  • id: 99052637
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  • id: 99052638
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  • id: 99052639
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  • id: 99052640
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  • id: 99052641
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  • id: 99052642
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  • id: 99052643
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  • id: 99052644
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  • id: 99052645
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  • id: 99052646
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  • id: 99052647
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  • id: 99052648
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  • id: 99052649
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  • id: 99052650
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  • id: 99052652
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  • id: 99052653
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  • id: 99052654
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  • id: 99052655
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  • id: 99052657
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  • id: 99052658
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  • id: 99052659
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  • id: 99052660
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  • id: 99052661
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  • id: 99052665
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  • id: 99052666
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  • id: 99052667
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  • id: 99052672
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  • id: 99052678
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  • id: 99052679
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  • id: 99052690
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  • id: 99052692
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  • id: 99052697
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  • id: 99052698
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  • id: 99052700
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  • id: 99052701
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  • id: 99052702
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  • id: 99052703
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  • id: 99052704
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  • id: 99052705
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  • id: 99052707
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  • id: 99052710
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  • id: 99052711
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  • id: 99052713
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  • id: 99052715
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  • id: 99052716
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  • id: 99052717
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  • id: 99052718
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  • id: 99052719
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  • id: 99052721
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  • id: 99052722
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  • id: 99052723
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  • id: 99052724
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  • id: 99052725
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  • id: 99052726
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  • id: 99052727
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  • id: 99052728
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  • id: 99052729
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  • id: 99052730
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  • id: 99052731
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  • id: 99052732
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  • id: 99052733
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  • id: 99052734
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  • id: 99052735
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  • id: 99052736
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  • id: 99052737
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  • id: 99052739
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  • id: 99052740
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  • id: 99052741
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  • id: 99052744
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  • id: 99052822
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  • id: 99052823
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  • id: 99052824
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  • id: 99052825
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  • id: 99052826
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  • id: 99052827
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  • id: 99052828
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  • id: 99052829
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  • id: 99052830
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  • id: 99052831
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  • id: 99052832
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  • id: 99052833
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  • id: 99052834
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  • id: 99052835
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  • id: 99052836
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  • id: 99052837
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  • id: 99052838
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  • id: 99052839
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  • id: 99052840
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  • id: 99052841
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  • id: 99052842
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  • id: 99052843
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  • id: 99052844
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  • id: 99052845
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  • id: 99052846
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  • id: 99052853
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  • id: 99052854
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  • id: 99052861
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  • id: 99052863
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  • id: 99052867
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  • id: 99052880
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  • id: 99052886
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  • id: 99052887
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  • id: 99052892
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  • id: 99052893
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  • id: 99052905
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  • id: 99052913
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  • id: 99052915
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  • id: 99052917
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  • id: 99052918
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  • id: 99052919
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  • id: 99052921
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  • id: 99052922
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  • id: 99052923
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  • id: 99052924
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  • id: 99052925
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  • id: 99052926
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  • id: 99052927
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  • id: 99052928
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  • id: 99052929
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  • id: 99052930
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  • id: 99052931
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  • id: 99052932
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  • id: 99052945
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