Embedded newform data - 399.2.ck.a.10.7

Formats: - HTML - YAML - JSON - 2025-12-11T14:28:34.566515

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 1596, 'analytic_conductor': 3.1860310406490875, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 133, 'char_degree': 6, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 63, 'char_orbit_label': 'ck', 'char_order': 18, 'char_parity': 1, 'char_values': [399, 18, [134, 115, 211], [18, 3, 17]], 'cm_discs': [], 'conrey_index': 10, 'dim': 78, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [623808, 17827776, 181061136, 698419512, -161123760, -9380645478, -25956445121, -17072496633, -82480247874, 22606146561, 2347938410475, 1188678496314, 19600047257011, 6973452795459, 85172521921710, 32478520265121, 213751803927939, 86767175683449, 384399501650830, 210673939620168, 204786669762165, 414718895212929, -73653418103022, 28739400985206, -327597373986040, -80537758612290, 76104449983905, -373790479844046, -44724527387829, -155609320594560, 395492950160309, 59997326304687, 32190274004151, -38911972216863, 1825037841402, 24207181363179, -58446789032738, -8000847782493, 6163803777519, 8402982122901, -4918707519720, -3216739011390, 6628222604281, 79188102618, -599552204262, -209188564065, 255804402726, 43400681448, -195421379509, 24830770152, -106739925, 1601800584, -1536895257, -1306259652, 3656351268, -503672643, 132605184, -20796480, 27491325, 5424870, -32968293, 4431597, -1678815, 5235, 21066, -30270, 205829, -17055, 3873, 0, -342, -87, -529, 39, 0, 0, 0, 0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 4260641112463, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 133, 32, 1, 18, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '399.2.ck.a', 'level': 399, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 7, 19], 'level_radical': 399, 'minimal_twist': '399.2.cd.a', 'prim_orbit_index': 32, 'related_objects': [], 'relative_dim': 13, 'rm_discs': [], 'sato_tate_group': '1.2.3.c18', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '399.2.ck', 'trace_display': [0, 0, 0, -6], 'traces': [78, 0, 0, 0, 0, 0, -6, 0, 0, 12, 6, 72, 3, -15, 0, 0, 0, 0, 18, 0, 9, -12, 30, -9, 18, 0, 39, -9, -6, 0, -18, -51, -12, 30, 33, 0, 18, -57, 0, -18, -63, -27, -51, -36, 9, 0, -84, 0, 18, -27, -18, 18, -45, 0, 30, 33, -6, -18, -24, 0, 66, 171, 6, 18, -99, -12, -24, 0, -12, -150, -66, -9, 3, 18, -36, -12, 21, 75, 45, 78, 0, -24, -72, -9, 60, -9, 0, -108, 48, -33, -54, -102, 9, -66, -84, 0, 75, -39, -6, 24, 42, 24, 12, -162, 3, -36, 0, 0, 117, 183, 48, 105, 0, 6, 27, -129, -6, -54, -48, 18, 0, 24, 63, -144, -45, 18, 42, 69, -3, -69, -45, 24, 102, -240, 0, 96, -21, 60, -78, 351, 9, 39, 126, 60, 6, -54, 30, 87, 135, -75, 0, 3, 0, -48, 6, -18, -36, 87, 0, -60, -24, 0, -12, -51, -24, -171, 150, -63, 105, 18, -18, -12, -81, -33, -135, 69, -39, 99, 0, 0, -9, 126, 45, -33, -60, -135, -36, 90, -3, 51, -3, -135, 129, 0, 18, -3, -114, -54, -162, 198, 54, 0, -33, 63, 93, -63, -6, -45, 75, 45, 48, 21, 42, -78, -135, 0, -51, 105, -24, 0, -90, 18, -54, -147, 0, 36, -186, 57, 18, 54, -90, -51, -15, -24, 42, 123, -27, -201, -30, 0, 66, 141, 0, 96, 57, 0, -30, 324, -39, 81, -66, 33, 15, -306, -66, 468, 42, -54, 150, 276, 6, -3, 42, -198, 48, 240, -72, 39, 252, -21, 66, -273, -12, 54, 105, 102, -24, 516, -9, 21, 123, 18, 51, 162, 66, 0, 69, -48, 174, 120, 6, 0, 36, 60, 48, -21, 3, -174, -102, 21, 168, -72, -126, -444, -108, -6, -168, -90, -123, -132, 99, 0, -96, -144, 54, -162, -48, -60, -204, -90, 45, -132, 30, 36, -69, 126, 117, -153, 87, -117, -126, -72, 48, 90, -42, -75, -72, 288, 24, 12, -123, 3, 9, 258, 174, 36, -6, -12, -18, -75, -3, 75, 0, -18, 114, 354, -3, -129, -306, -24, -42, -117, 30, -462, 0, -66, 81, -6, 6, 30, -324, -18, 0, -81, 117, 84, -72, -3, 0, -411, -90, -312, -111, -102, -15, 48, 6, 12, 246, -300, -54, -156, -45, 354, -267, -36, -204, 414, 105, -444, 138, 12, 30, -129, 0, 138, 45, 12, 174, -72, -18, 216, -201, 6, 99, 108, 45, 99, 0, -15, -12, 321, -6, 327, 0, -96, -123, -33, -24, -72, -159, 0, 36, 279, 72, -504, -273, -6, -135, -459, -39, 147, -483, 198, 0, -423, 72, 204, -135, 87, -168, -639, -69, 126, 237, -168, 12, -150, 18, 363, -12, -54, -90, -360, 6, 129, 99, 24, 117, -129, -36, -60, 105, 120, -120, 45, 45, 492, 0, 36, -150, 54, 75, 12, 72, 0, -333, 75, -39, -159, -291, 21, -150, 84, 90, 78, -138, 18, 225, 234, -24, 159, -3, -132, 27, 0, 111, 429, 96, 147, 78, 0, 9, 450, -114, 51, -219, -444, 81, -474, 384, 33, -312, -126, 198, -246, 99, 57, -48, -12, 12, 354, 228, 54, 126, -483, 132, 60, 381, 90, 123, 390, -18, 198, 132, 114, 159, 195, 105, 369, 444, 0, 147, 294, 60, -15, 399, 0, -99, -99, 108, 21, -21, -135, -150, -15, 9, 123, 0, -12, 60, -39, -48, 84, -120, 27, 261, 0, -6, 333, 105, 72, -150, -123, 0, -156, 102, -18, -183, -252, -36, -246, 63, -6, -141, -81, -54, -21, 6, -54, -132, 186, -75, 366, -159, -39, -219, 300, -45, 492, 207, -180, -78, 6, 117, 36, 390, 81, 0, -306, 24, -297, -249, 45, -342, -246, 57, 441, -63, -78, -60, 150, -6, 48, 183, 21, -327, -24, 0, 180, 411, 78, 429, 57, 0, -189, 9, -18, -171, -201, 39, 24, -324, 60, 492, -174, -27, 264, 9, 84, -192, 45, -105, 504, 321, 0, 309, 321, 0, 453, -297, 0, -45, -219, 0, -396, 450, -36, 168, 147, 51, -285, -144, 6, 0, -240, -27, 300, -12, 216, 0, 69, -24, 273, 36, -18, -402, -303, -39, -213, 288, -18, -27, -69, -132, -99, -198, 18, -249, -288, 0, -225, 138, 0, 36, 408, -120, -480, 63, -78, 147, -174, -72, -483, 72, 141, -309, 477, -39, -342, -243, 96, 81, -219, -117, 243, 354, 24, 288, -594, 123, 195, -270, 414, 39, -192, -12, 360, -363, -171, 72, 0, -180, 525, 72, 36, -180, -96, -51, -63, 153, 195, -555, -111, 60, -222, 192, 18, -441, -708, -84, 0, -24, -9, 363, -399, 87, 0, -321, 63, -15, -123, 6, -57, -42, -90, 24, 414, -123, -180, 303, -198, 69, -231, -204, -855, 618, -39, -366, 864, 48, -507, 72, 39, 285, -819, 63, 744, -414, 0, 336, -510, 66, -81, -36, 171, 192, 0, -81, 168, 453, -39, 297, 0, -159, -33, -102, -30, 24, -582, -36, 249, 375, 144, -144, -408, 18, -72, -33, -93, -120, -555, 144, 0, -633, 36, -108, -846, -111, -147, -210, -78, -12, -111, -36, -426, 240, -123, 555, 357, -222, -87, -171, -48, 357, -72, -3, -63, -324, 120, -117, 579, -24, 228, -99, 381, 468, 135, -96, -216, -522, 21, -48, 333, 0, -450, 102, -339, -201, 318, -6, -234, -147, 144, 15, -633, -6, -306, 420, 0, 105, 249, -153, 186, 0, 54, 195, 258, 66, 489, 0, -84, -324, -21, -78, -69, -60, 6, -360, 564, 168, -891, 27, 48, -162, -12, 42, -399, -159, 60, 609, -108, -120, 285, -306, 162, 39, 627, 297, -168, -213, 48, 204, -282, 48, -42, 204, -201, 225, 237, 0, -210, 456, 60, -81, 483, 0, -231, -45, 387, 63, -78, -45, -585, 258, -273, 267, -207, -210, -57, -240, 0, -393, 615, 15, 36, 0, -18, 102, 24, -27, 243, 141, 81, 36, -57, 120, -372, -171, -177, -282, -60, -300, 381, 147, -72, 3, 33, 18, -81], '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], [-0.09689198508650687, -0.11547137132042917], [-0.1002558221202902, -0.5685790213016289], [0.16970259684631378, -0.962431252236413], [1.334676368356323, -0.23533945425520944], [-0.055940613672011946, 0.06666742731554502], [-0.06851858420436772, -0.9976498401837335], [-0.2581182963482645, 0.1490246678794381], [-0.3132308735953028, 0.11400671444188958], [-0.15649441228674443, -0.13131440363111246], [0.44412992129299883, 0.0], [-0.5642318928294561, 0.0], [0.8818204708578439, 0.7399352318613922], [-0.10856109350474455, 0.1045762083156509], [-0.2676181531481729, -0.7352748328107539], [-0.8761235353750185, -0.3188828884165789], [-0.30673688710807534, 0.8427526710432387], [0.043514072789371167, 0.02512286163848041], [-0.9904542138612668, 0.1378421207195391], [0.0, -1.3244719650550272], [-0.5603733827434664, 0.13897843446368896], [-0.04303262971039271, -0.05128429105613685], [0.022259749064150146, 0.01867814722982719], [0.11061016181737515, 0.13182005772328373], [0.786283728733775, -0.28618387294693515], [0.0, -0.1735188124788768], [0.09622504486493763, 0.16666666666666666], [-0.9717971666532019, -0.10335934182521377], [0.6892427181204939, 0.12153208746148228], [-0.058973139138345766, 0.10214447326944355], [0.11077512881757919, 0.19186815132703444], [0.1500063806417834, 0.4121391435874149], [-0.04452661038744938, -0.2525229559795427], [0.1270341525004745, -0.04623665024540618], [-0.3262365040574392, -1.3154145393746959], [0.05656753228210459, 0.32081041741213767], [-0.6879488211868147, 0.39718743710089316], [0.11188389362351507, 0.10101330959960804], [0.33230401368998963, -0.5755674352701258], [-0.30943300636711196, 0.2596451215167206], [1.085197399009877, -0.9105887372637315], [0.07034371985514391, 0.05124118655745396], [-0.21957225108616427, -0.07991776366618861], [0.07537000098057085, -0.4274445163056804], [-0.3912315668690734, 0.2258776504473386], [0.0, -0.004380126512522053], [-0.5377942788707035, -1.4775776375091398], [-0.09347363528777732, 0.530115328421148], [-0.9906104072372579, 0.1367151091622063], [-0.10923063557721001, -0.06306433685425611], [0.5099236476927369, 0.08991329718950732], [0.8617840156310156, -0.7231226496704605], [0.5789682029892277, 0.10208771515929617], [0.009921792941402871, -0.027259902067008648], [0.5927697104297193, -0.10452129329550347], [0.1663603363163819, 0.24730071784571842], [0.17767293957602354, 0.5493320124257716], [-0.05274861836650265, -0.09136328703984344], [0.681404953751563, 0.24801112064710717], [-0.7530669736324325, 0.13278602573186804], [-0.6646452841718414, 0.7920934052125916], [0.011422056417099528, -0.031381842089717726], [0.1352009164306711, 0.3046831523196151], [-0.43311974005571263, 0.7501853955375193], [1.3510808972372716, 0.7800469197168999], [-0.024844900347232718, 0.029608999246459728], [-0.7434999592953999, 0.8860687475839418], [0.7590374622269311, 0.4382304831417291], [0.00838833322904514, -0.014529019343524484], [-0.12028301823061928, 0.1651241024299626], [-0.30876491170365655, 0.8483246228256967], [0.0638608067003696, -0.07610634581112988], [1.4839005789600361, -0.2616517087595663], [0.11252050495599966, 0.04095411454858658], [-0.24154766803648992, -0.41837283348898147], [-0.03541908729460238, 0.9766362551702399], [-0.030431153409793552, -0.4430861449987744], [-0.09865915657666062, 0.01739627119840626], [0.028306897306099598, -0.07777256116332952], [-1.2443871033571148, -0.21941902076751257], [0.085116049235442, -0.0714208455207266], [-0.21029386040156212, -0.037080481466134865], [1.4423585484942825, 0.8327460962411319], [0.03866037045962487, 0.5629058577078724], [-0.2110615208508936, 1.196989366022537], [0.012046577514254602, 0.03309769970212431], [0.0, -0.40407324945067075], [-0.11463805864143765, 0.06618631401601013], [-0.1231140134971648, 0.69821426648664], [0.06398960519023972, 0.023290311591693348], [0.6777751756272233, -0.9304473663121458], [0.021753969849192256, -0.01825374807709889], [0.0979863540903906, -0.08222031357765311], [-0.11850996078763147, 0.20526527328717306], [-1.2894961437160553, 0.41706757524337135], [0.21929465788649263, -0.12660982976261342], [0.22317997292994177, 1.2657165229803513], [0.11176888993975302, 0.10114054384993032], [-0.1391152032364191, 0.050633793111949814], [-0.14199791258606118, -0.8053101800729935], [-0.4280843310359162, -1.1761520331435174], [-0.03902510274108815, -0.06759346071816014], [0.6564823245365878, -1.1370607403682906], [-0.33788259980329005, -0.05957781865724072], [-0.7152100024836695, 0.31736919826383664], [-0.04430917002518063, -0.0767457337248208], [0.0, 1.1105643731414239], [0.1767348487013018, -0.06432622428481465], [-0.7372006189524357, -0.8785614860992405], [-0.06950385101170592, -0.058320655749323054], [0.2948033189048967, 0.3513329144136072], [-0.25810271843410576, 0.8959139090893982], [0.0, 1.3829593810770258], [0.04621703697333897, -0.07374200713487385], [0.03410526601702896, 0.019690684515715467], 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-0.4562753488546071, -0.3556554717323059, -0.34987412630780057, -0.12764703256066065, -0.13621949410832457, -0.36242790709282274, 0.022129363411937882, -0.2925151800544771, -0.27558151202641645, -0.29923818770468796, -0.44550411423809844, -0.19728911246573458, -0.12205579593502207, -0.4003503408382345, -0.06790208252137082, -0.15727433926154302, -0.34001509899140353, -0.3771169842808866, -0.48391488679309036, -0.3944188261507671, -0.23795982398255067, -0.0835980537677631, 0.2519654967958844, -0.14114557956817025, -0.44831179680480554, -0.08240798384560064, -0.2890518684356144, 0.10793704686782017, -0.11807711888545717, 0.09506277684887693, -0.20370786818891545, -0.4439394278692335, -0.3881273597602863, -0.06781654653524444, -0.154084776995809, -0.10403217212912509, -0.04975363703181548, -0.4329350053954441, -0.4930734456825103, -0.21494193303146011, -0.31942931104639005, -0.26692366864426686], 'char_orbit_index': 63, 'conrey_index': 10, 'dual_conrey_index': 40, 'dual_embedding_index': 7, 'dual_embedding_m': 20, 'embedding_index': 7, 'embedding_m': 7, 'hecke_orbit': 1, 'hecke_orbit_code': 4260641112463, 'label': '399.2.ck.a.10.7', 'level': 399, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 1596, 'analytic_conductor': 3.1860310406490875, 'char_conductor': 133, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 63, 'char_orbit_label': 'ck', 'char_order': 18, 'char_parity': 1, 'char_values': [399, 18, [134, 115, 211], [18, 3, 17]], 'conrey_index': 10, 'cusp_dim': 294, 'dim': 162, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 4260641112463, 'hecke_orbit_dims': [78, 84], 'label': '399.2.ck', 'level': 399, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 7, 19], 'level_radical': 399, 'mf_dim': 342, 'mf_new_dim': 162, 'num_forms': 2, 'prim_orbit_index': 32, 'relative_dim': 27, 'sturm_bound': 106, 'trace_bound': 1, 'trace_display': [0, 0, 0, -12], 'traces': [162, 0, 0, 0, 0, 0, -12, 0, 0, 0, 12, -24, 30, -6, 0, 0, 0, 0, -21, 0, 15, -24, 24, 0, 36, 0, -3, 36, -12, 0, 0, -102, 0, 36, 48, 0, 36, -54, 0, 0, -108, -12, -36, -72, 18, 0, -108, 0, 36, -54, 0, -66, -36, 0, 0, 108, -12, -36, 0, 0, 87, 126, -6, 102, -108, 0, -69, 0, 0, -108, -24, -18, -69, 36, 21, -108, -30, 60, 3, 0, 0, 0, -72, 0, 12, -18, 0, 0, 0, -54, -27, -96, 30, -36, -24, 0, 54, 12, -12, 48, 72, 48, 0, -180, 18, -72, 0, 0, 126, 234, 123, 90, 0, 12, -54, -60, 3, 0, -144, 36, 78, 144, 18, 42, -90, 36, -24, 12, 39, -138, -18, 0, 108, 168, 0, 108, 30, 108, -87, 288, 36, -66, 108, 180, -324, 144, 60, -36, 162, -126, -189, -126, 0, -12, 12, -102, 42, 174, 0, -288, 126, 0, -24, -54, -48, -270, 180, -138, 54, 180, -36, -24, -108, 0, -108, 192, -6, 54, 0, 0, -54, 144, 108, 6, -180, -144, 0, 90, 0, 102, -6, -216, 117, -234, 0, -222, 24, 0, -69, -162, 0, 0, -48, 36, 78, -432, -12, 234, 108, 36, -36, -480, 36, -156, -144, 0, -141, 120, -51, 0, 72, 0, -69, -156, 0, 216, -252, 144, 36, 0, -96, -102, -30, 0, 84, 90, -30, -138, -60, 0, 69, 138, 0, 456, 12, 0, 33, 252, -24, 270, 0, 24, 30, 144, 0, 504, 432, -108, 159, 336, 12, 198, 84, -252, 0, 294, 0, -6, 216, 12, 36, -540, -111, 180, 12, 108, 264, 576, 12, 630, -114, 0, 18, -450, 0, 0, 162, -96, -156, 594, -24, 0, 0, 90, 96, -42, 0, -240, -36, 0, 198, -252, -72, -504, -216, 0, -72, 186, -105, -48, -90, 0, 0, -270, 36, -36, 84, -108, -264, 0, 0, -108, 60, 84, -111, 306, 108, -306, 138, -90, -36, 198, -27, 0, 0, -90, -21, 180, 0, 24, -108, -36, 15, -168, 204, 36, -12, 0, 72, -540, -39, -102, 0, 0, 108, 486, 48, -42, -288, 0, 93, -306, 108, -504, 0, -132, 195, -12, 0, -144, -378, -36, 0, -252, 18, 0, -252, -12, 0, -192, -207, -84, -144, 0, -78, 24, 12, 312, 276, -252, -108, -486, -72, 168, -162, -72, -39, 684, 78, -84, 96, 0, 192, -414, 0, -444, -90, 24, 252, 360, -288, 606, -90, 12, 90, 0, 0, -234, 0, -30, -132, 426, 0, 330, 0, -252, 135, -66, -48, -144, -174, 0, 69, 660, 36, -522, -126, -12, -15, -432, -87, 150, -462, 288, 0, -504, 90, -24, -126, -24, -468, -612, -108, 144, 270, -228, 168, -216, 0, 90, 180, -276, 108, -252, 0, -498, -18, 0, -99, -420, -114, -576, 138, 342, -252, -144, 36, 120, 0, 72, -105, -144, 0, -408, -36, 0, -162, 90, -168, -198, -258, 294, -180, -66, 72, 426, 348, 36, 168, 846, -48, 198, -72, -96, 54, 0, 159, 426, 0, 558, 186, 0, 51, 324, -156, 222, -54, -600, 54, 276, 864, 66, 138, -252, 324, -312, 72, 306, -96, 612, 0, 360, 60, -36, 0, -138, 252, -432, 294, 108, 162, 288, 192, -756, -72, 636, 141, 246, 84, -558, 342, 0, 198, 444, -60, 408, 294, 0, -213, 186, 216, 42, 90, -54, -36, 324, 6, -78, 432, 36, 120, 216, 0, 336, 84, 54, 261, 0, 87, 702, -114, 144, -228, -432, 0, -108, 180, 0, -186, -180, -108, -18, -180, 0, -450, 180, -36, 162, -294, 0, -36, 18, -12, -240, -666, -132, -18, 540, -36, -132, -324, -198, -156, 54, 144, -540, 348, -90, 0, 360, 36, -486, -216, 138, 36, -216, 240, 594, 90, -72, -117, -96, -39, 96, 198, -216, -408, -48, 0, 360, 390, 0, 465, -372, 0, 522, 198, -36, -126, -306, 138, -72, -360, 0, 444, 756, -54, 108, 180, 60, 108, 90, -126, 504, -144, 0, 78, 504, 165, 522, -684, -522, 54, -402, 0, 192, 396, 144, 477, 78, -6, -702, -738, 0, 0, 150, -84, -72, -18, 252, 0, 288, 48, 330, 72, 0, -372, -306, 0, -72, -54, 0, 54, -138, -108, -126, 84, -234, -81, -558, 0, 378, 216, -36, 288, 510, -144, -276, 144, 0, 15, -132, 108, -738, 162, 144, -339, 282, -81, -252, -216, -264, -144, -216, -330, 198, 384, 0, 327, -432, 108, -78, -648, 576, 54, -384, 0, 252, -756, -576, -33, 0, -54, 414, 270, 54, -57, -66, 0, -162, 90, 270, -90, 102, 12, -108, 168, -138, -786, -504, -168, 0, -306, 18, 240, -756, 90, 0, -120, -36, -102, -126, 0, 420, -246, 0, 216, 396, -126, -108, 72, -144, 105, -450, -300, -582, 468, -78, -516, 540, 0, 282, -108, 84, -366, -810, 72, 792, -108, 0, 216, -414, -12, -90, 0, 0, -33, 0, -24, -96, 6, 0, 414, 0, -180, 54, -312, -60, 144, -732, 36, 816, 816, 180, 504, -324, 36, 144, 0, -96, -276, -156, 144, 0, -594, 72, 72, -900, -204, -270, -240, -252, -21, -324, -72, -132, 198, -84, 246, 684, -228, -318, -108, 0, -42, -648, 57, -528, -306, -354, -213, 276, 39, 324, -198, 426, 213, 108, -192, 144, -216, 72, -513, 468, 0, 144, 108, -846, 66, 222, -12, -108, -222, 144, 162, 84, 60, -720, 702, -84, -198, -180, -201, 372, 0, 432, 174, 216, 72, 618, 0, 408, -180, -24, -252, -300, -252, 12, -216, 1152, 264, -594, 180, 36, -3, -312, 42, -366, 396, 0, 138, 468, -240, 414, 18, 180, 3, 660, 450, -300, -342, -192, -648, -468, 36, -12, 192, -534, -18, -720, 0, 420, 552, 12, -450, 534, 0, -450, 276, 504, 33, -108, -90, -474, 432, -360, 267, 954, -216, -114, -54, 0, -372, 996, 189, 216, 0, 450, 0, 192, 72, 54, -270, 36, -144, -234, 0, -234, -90, -234, -387, -1332, -375, 6, 474, -216, -15, -546, 0, 162], '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: 31618217
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 10, 'source_dim': 78, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4260641112463, 'source_is_minimal': True, 'source_label': '399.2.ck.a.10.7', 'source_level': 399, 'target_conrey_index': 10, 'target_dim': 78, 'target_embedding_index': 7, 'target_hecke_orbit_code': 4260641112463, 'target_is_minimal': True, 'target_label': '399.2.ck.a.10.7', 'target_level': 399, 'twist_class_label': '399.2.cd.a.124.7', 'twist_class_level': 399, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 31618218
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 10, 'source_dim': 78, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4260641112463, 'source_is_minimal': True, 'source_label': '399.2.ck.a.10.7', 'source_level': 399, 'target_conrey_index': 124, 'target_dim': 78, 'target_embedding_index': 7, 'target_hecke_orbit_code': 3779604775311, 'target_is_minimal': True, 'target_label': '399.2.cd.a.124.7', 'target_level': 399, 'twist_class_label': '399.2.cd.a.124.7', 'twist_class_level': 399, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 31618219
    {'conductor': 19, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 10, 'source_dim': 78, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4260641112463, 'source_is_minimal': True, 'source_label': '399.2.ck.a.10.7', 'source_level': 399, 'target_conrey_index': 325, 'target_dim': 78, 'target_embedding_index': 7, 'target_hecke_orbit_code': 3779604775311, 'target_is_minimal': True, 'target_label': '399.2.cd.a.325.7', 'target_level': 399, 'twist_class_label': '399.2.cd.a.124.7', 'twist_class_level': 399, 'twisting_char_label': '19.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 31618220
    {'conductor': 133, 'degree': 6, 'order': 18, 'parity': 1, 'source_conrey_index': 10, 'source_dim': 78, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4260641112463, 'source_is_minimal': True, 'source_label': '399.2.ck.a.10.7', 'source_level': 399, 'target_conrey_index': 40, 'target_dim': 78, 'target_embedding_index': 7, 'target_hecke_orbit_code': 4260641112463, 'target_is_minimal': True, 'target_label': '399.2.ck.a.40.7', 'target_level': 399, 'twist_class_label': '399.2.cd.a.124.7', 'twist_class_level': 399, 'twisting_char_label': '133.40', 'twisting_conrey_index': 40, 'weight': 2}
• hecke_orbit_code 4260641112463 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': 63, 'hecke_orbit': 1, 'label': '399.2.ck.a', 'level': 399, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 15425628
    {'hecke_orbit_code': 4260641112463, 'n': 1, 'trace_an': 78}
  • id: 15425629
    {'hecke_orbit_code': 4260641112463, 'n': 2, 'trace_an': 0}
  • id: 15425630
    {'hecke_orbit_code': 4260641112463, 'n': 3, 'trace_an': 0}
  • id: 15425631
    {'hecke_orbit_code': 4260641112463, 'n': 4, 'trace_an': 0}
  • id: 15425632
    {'hecke_orbit_code': 4260641112463, 'n': 5, 'trace_an': 0}
  • id: 15425633
    {'hecke_orbit_code': 4260641112463, 'n': 6, 'trace_an': 0}
  • id: 15425634
    {'hecke_orbit_code': 4260641112463, 'n': 7, 'trace_an': -6}
  • id: 15425635
    {'hecke_orbit_code': 4260641112463, 'n': 8, 'trace_an': 0}
  • id: 15425636
    {'hecke_orbit_code': 4260641112463, 'n': 9, 'trace_an': 0}
  • id: 15425637
    {'hecke_orbit_code': 4260641112463, 'n': 10, 'trace_an': 12}
  • id: 15425638
    {'hecke_orbit_code': 4260641112463, 'n': 11, 'trace_an': 6}
  • id: 15425639
    {'hecke_orbit_code': 4260641112463, 'n': 12, 'trace_an': 72}
  • id: 15425640
    {'hecke_orbit_code': 4260641112463, 'n': 13, 'trace_an': 3}
  • id: 15425641
    {'hecke_orbit_code': 4260641112463, 'n': 14, 'trace_an': -15}
  • id: 15425642
    {'hecke_orbit_code': 4260641112463, 'n': 15, 'trace_an': 0}
  • id: 15425643
    {'hecke_orbit_code': 4260641112463, 'n': 16, 'trace_an': 0}
  • id: 15425644
    {'hecke_orbit_code': 4260641112463, 'n': 17, 'trace_an': 0}
  • id: 15425645
    {'hecke_orbit_code': 4260641112463, 'n': 18, 'trace_an': 0}
  • id: 15425646
    {'hecke_orbit_code': 4260641112463, 'n': 19, 'trace_an': 18}
  • id: 15425647
    {'hecke_orbit_code': 4260641112463, 'n': 20, 'trace_an': 0}
  • id: 15425648
    {'hecke_orbit_code': 4260641112463, 'n': 21, 'trace_an': 9}
  • id: 15425649
    {'hecke_orbit_code': 4260641112463, 'n': 22, 'trace_an': -12}
  • id: 15425650
    {'hecke_orbit_code': 4260641112463, 'n': 23, 'trace_an': 30}
  • id: 15425651
    {'hecke_orbit_code': 4260641112463, 'n': 24, 'trace_an': -9}
  • id: 15425652
    {'hecke_orbit_code': 4260641112463, 'n': 25, 'trace_an': 18}
  • id: 15425653
    {'hecke_orbit_code': 4260641112463, 'n': 26, 'trace_an': 0}
  • id: 15425654
    {'hecke_orbit_code': 4260641112463, 'n': 27, 'trace_an': 39}
  • id: 15425655
    {'hecke_orbit_code': 4260641112463, 'n': 28, 'trace_an': -9}
  • id: 15425656
    {'hecke_orbit_code': 4260641112463, 'n': 29, 'trace_an': -6}
  • id: 15425657
    {'hecke_orbit_code': 4260641112463, 'n': 30, 'trace_an': 0}
  • id: 15425658
    {'hecke_orbit_code': 4260641112463, 'n': 31, 'trace_an': -18}
  • id: 15425659
    {'hecke_orbit_code': 4260641112463, 'n': 32, 'trace_an': -51}
  • id: 15425660
    {'hecke_orbit_code': 4260641112463, 'n': 33, 'trace_an': -12}
  • id: 15425661
    {'hecke_orbit_code': 4260641112463, 'n': 34, 'trace_an': 30}
  • id: 15425662
    {'hecke_orbit_code': 4260641112463, 'n': 35, 'trace_an': 33}
  • id: 15425663
    {'hecke_orbit_code': 4260641112463, 'n': 36, 'trace_an': 0}
  • id: 15425664
    {'hecke_orbit_code': 4260641112463, 'n': 37, 'trace_an': 18}
  • id: 15425665
    {'hecke_orbit_code': 4260641112463, 'n': 38, 'trace_an': -57}
  • id: 15425666
    {'hecke_orbit_code': 4260641112463, 'n': 39, 'trace_an': 0}
  • id: 15425667
    {'hecke_orbit_code': 4260641112463, 'n': 40, 'trace_an': -18}
  • id: 15425668
    {'hecke_orbit_code': 4260641112463, 'n': 41, 'trace_an': -63}
  • id: 15425669
    {'hecke_orbit_code': 4260641112463, 'n': 42, 'trace_an': -27}
  • id: 15425670
    {'hecke_orbit_code': 4260641112463, 'n': 43, 'trace_an': -51}
  • id: 15425671
    {'hecke_orbit_code': 4260641112463, 'n': 44, 'trace_an': -36}
  • id: 15425672
    {'hecke_orbit_code': 4260641112463, 'n': 45, 'trace_an': 9}
  • id: 15425673
    {'hecke_orbit_code': 4260641112463, 'n': 46, 'trace_an': 0}
  • id: 15425674
    {'hecke_orbit_code': 4260641112463, 'n': 47, 'trace_an': -84}
  • id: 15425675
    {'hecke_orbit_code': 4260641112463, 'n': 48, 'trace_an': 0}
  • id: 15425676
    {'hecke_orbit_code': 4260641112463, 'n': 49, 'trace_an': 18}
  • id: 15425677
    {'hecke_orbit_code': 4260641112463, 'n': 50, 'trace_an': -27}
  • id: 15425678
    {'hecke_orbit_code': 4260641112463, 'n': 51, 'trace_an': -18}
  • id: 15425679
    {'hecke_orbit_code': 4260641112463, 'n': 52, 'trace_an': 18}
  • id: 15425680
    {'hecke_orbit_code': 4260641112463, 'n': 53, 'trace_an': -45}
  • id: 15425681
    {'hecke_orbit_code': 4260641112463, 'n': 54, 'trace_an': 0}
  • id: 15425682
    {'hecke_orbit_code': 4260641112463, 'n': 55, 'trace_an': 30}
  • id: 15425683
    {'hecke_orbit_code': 4260641112463, 'n': 56, 'trace_an': 33}
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  • id: 15425689
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  • id: 15425690
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  • id: 15425693
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  • id: 15425694
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  • id: 15425698
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  • id: 15425699
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  • id: 15425700
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  • id: 15425701
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  • id: 15425702
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  • id: 15425703
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  • id: 15425704
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  • id: 15425705
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  • id: 15425706
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  • id: 15425707
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  • id: 15425712
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  • id: 15425713
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  • id: 15425714
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  • id: 15425715
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  • id: 15425716
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  • id: 15425717
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  • id: 15425718
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  • id: 15425719
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  • id: 15425720
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  • id: 15425721
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  • id: 15425722
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  • id: 15425723
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  • id: 15425725
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  • id: 15425726
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  • id: 15425727
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  • id: 15425728
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  • id: 15425729
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  • id: 15425730
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  • id: 15425731
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  • id: 15425732
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  • id: 15425735
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  • id: 15425736
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  • id: 15425737
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  • id: 15425738
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  • id: 15425739
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  • id: 15425740
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  • id: 15425741
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  • id: 15425744
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  • id: 15425745
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  • id: 15425746
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  • id: 15425747
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  • id: 15425748
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  • id: 15425750
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  • id: 15425760
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  • id: 15425762
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  • id: 15425764
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  • id: 15425765
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  • id: 15425766
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  • id: 15425767
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  • id: 15425768
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  • id: 15425769
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  • id: 15425770
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  • id: 15425771
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  • id: 15425772
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  • id: 15425773
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  • id: 15425774
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  • id: 15425775
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  • id: 15425776
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  • id: 15425777
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  • id: 15425778
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  • id: 15425779
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  • id: 15425780
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  • id: 15425781
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  • id: 15425782
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  • id: 15425783
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  • id: 15425784
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  • id: 15425785
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  • id: 15425786
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  • id: 15425787
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  • id: 15425788
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  • id: 15425789
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  • id: 15425790
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  • id: 15425791
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  • id: 15425792
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  • id: 15425793
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  • id: 15425794
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  • id: 15425795
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  • id: 15425796
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  • id: 15425797
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  • id: 15425798
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  • id: 15425799
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  • id: 15425800
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  • id: 15425801
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  • id: 15425802
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  • id: 15425803
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  • id: 15425804
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  • id: 15425805
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  • id: 15425806
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  • id: 15425807
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  • id: 15425808
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  • id: 15425809
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  • id: 15425810
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  • id: 15425811
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  • id: 15425812
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  • id: 15425813
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  • id: 15425814
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  • id: 15425815
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  • id: 15425816
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  • id: 15425817
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  • id: 15425818
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  • id: 15425819
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  • id: 15425820
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  • id: 15425821
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  • id: 15425822
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  • id: 15425823
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  • id: 15425824
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  • id: 15425825
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  • id: 15425826
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  • id: 15425827
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  • id: 15425828
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  • id: 15425829
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  • id: 15425830
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  • id: 15425831
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  • id: 15425832
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  • id: 15425833
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  • id: 15425834
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  • id: 15425835
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  • id: 15425836
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  • id: 15425837
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  • id: 15425838
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  • id: 15425839
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  • id: 15425840
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  • id: 15425841
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  • id: 15425842
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  • id: 15425843
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  • id: 15425844
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  • id: 15425845
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  • id: 15425846
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  • id: 15425847
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  • id: 15425848
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  • id: 15425849
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  • id: 15425850
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  • id: 15425851
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  • id: 15425860
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  • id: 15425864
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  • id: 15425865
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  • id: 15425867
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