Embedded newform data - 185.2.v.a.4.16

Formats: - HTML - YAML - JSON - 2026-07-11T02:02:58.489099

• 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': 740, 'analytic_conductor': 1.4772324373936871, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 185, 'char_degree': 6, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 18, 'char_parity': 1, 'char_values': [185, 18, [112, 76], [9, 1]], 'cm_discs': [], 'conrey_index': 4, 'dim': 96, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1443142566073, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0], [1, 1, 37, 8, 1, 18, 0], [1, 1, 185, 22, 1, 18, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '185.2.v.a', 'level': 185, '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': [5, 37], 'level_radical': 185, 'minimal_twist': '185.2.v.a', 'prim_orbit_index': 22, 'related_objects': [], 'relative_dim': 16, 'rm_discs': [], 'sato_tate_group': '1.2.3.c18', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '185.2.v', 'trace_display': [0, 0, -12, 0], 'traces': [96, 0, 0, -12, -12, 0, 0, 0, -6, -3, -30, 0, 0, -36, -21, 0, 0, 0, -18, -39, -24, 0, 0, 96, 36, 48, 0, 0, -18, -30, 0, 0, 0, -54, 6, 24, 0, 0, -36, -63, 72, 0, 0, -84, -36, -18, 0, 0, -6, -27, -18, 0, 0, 24, 6, 90, 0, 0, 18, 108, -144, 0, 0, 66, 27, -36, 0, 0, -6, -66, -30, 0, 0, -6, 96, -54, 0, 0, 60, 0, -18, 0, 0, 48, 21, -72, 0, 0, 108, 165, -54, 0, 0, 6, 57, 24, 0, 0, -24, -63, -78, 0, 0, 42, 0, 12, 0, 0, -36, -72, -120, 0, 0, 180, -60, 66, 0, 0, 162, 138, 6, 0, 0, 102, 63, -114, 0, 0, -174, 3, 48, 0, 0, -126, -45, -78, 0, 0, 30, 18, 66, 0, 0, 156, 126, -60, 0, 0, 24, 255, 48, 0, 0, 0, 57, -360, 0, 0, 84, -111, 108, 0, 0, -348, 63, 48, 0, 0, -150, -48, -72, 0, 0, -66, -138, 54, 0, 0, 0, -6, -12, 0, 0, 48, 111, 48, 0, 0, -360, -186, 0, 0, 0, 48, -111, -60, 0, 0, -252, -222, 276, 0, 0, -384, -102, 222, 0, 0, 282, -54, 72, 0, 0, 126, -165, 0, 0, 0, -300, 63, 216, 0, 0, -168, -195, 396, 0, 0, 24, -270, 138, 0, 0, 144, -201, 468, 0, 0, 168, 51, -24, 0, 0, 42, 99, -18, 0, 0, 138, -51, -162, 0, 0, -120, -120, 132, 0, 0, -18, 354, -60, 0, 0, 174, 0, -186, 0, 0, 18, -87, 84, 0, 0, 342, 135, -276, 0, 0, 384, 210, -114, 0, 0, -108, -99, 72, 0, 0, 12, 0, 36, 0, 0, 216, -30, -108, 0, 0, 210, 78, 174, 0, 0, 720, 141, -30, 0, 0, 54, 342, -156, 0, 0, -462, 198, -126, 0, 0, -72, -300, -90, 0, 0, 78, 18, 120, 0, 0, 300, 279, 228, 0, 0, -420, 96, -180, 0, 0, 0, 135, 0, 0, 0, 96, -60, -90, 0, 0, -462, 54, -6, 0, 0, -438, -144, -126, 0, 0, -192, -243, -66, 0, 0, 0, 171, 78, 0, 0, -132, 57, -348, 0, 0, -360, -252, 0, 0, 0, -228, -177, -66, 0, 0, -702, -312, 108, 0, 0, -396, -543, 216, 0, 0, 432, 177, 90, 0, 0, 342, -201, 0, 0, 0, -546, 12, -456, 0, 0, -252, -180, 210, 0, 0, 126, -126, 24, 0, 0, 270, 6, -144, 0, 0, 120, 207, 408, 0, 0, 342, 396, -354, 0, 0, 450, -45, -234, 0, 0, -96, -57, 240, 0, 0, 420, 264, -336, 0, 0, 78, 0, -18, 0, 0, 246, 78, 30, 0, 0, 624, 720, -354, 0, 0, 528, 162, -336, 0, 0, 204, 87, -162, 0, 0, -300, 0, -192, 0, 0, 6, 222, -264, 0, 0, 630, -99, 192, 0, 0, 576, 465, -30, 0, 0, 276, 558, -114, 0, 0, -36, 123, -216, 0, 0, -756, -267, 408, 0, 0, -36, 63, 84, 0, 0, 402, 390, 0, 0, 0, -168, 297, -12, 0, 0, 0, 18, -774, 0, 0, 18, -21, -102, 0, 0, -702, -93, -102, 0, 0, -486, -198, -90, 0, 0, -126, -192, 90, 0, 0, 0, -81, -396, 0, 0, -264, 120, 516, 0, 0, -522, -234, 0, 0, 0, -504, -207, 0, 0, 0, -486, -699, 498, 0, 0, -540, -312, 660, 0, 0, 450, -195, 228, 0, 0, -72, 105, 0, 0, 0, -240, -126, 228, 0, 0, -204, -558, 240, 0, 0, -162, -351, 336, 0, 0, 42, -108, 810, 0, 0, 84, -21, 210, 0, 0, 516, 477, -90, 0, 0, 252, -258, -108, 0, 0, -102, -132, 96, 0, 0, -6, 0, 300, 0, 0, 600, 0, 354, 0, 0, 204, -63, 30, 0, 0, 846, 204, 54, 0, 0, 438, 624, 174, 0, 0, -300, 9, -294, 0, 0, 372, 0, 306, 0, 0, -90, -192, 6, 0, 0, 378, 333, 30, 0, 0, 882, 36, -204, 0, 0, 108, 189, -648, 0, 0, 0, 399, 342, 0, 0, -252, -876, -324, 0, 0, 162, -126, 66, 0, 0, 120, 360, 192, 0, 0, -300, 21, -402, 0, 0, 0, 63, -108, 0, 0, -102, -117, -462, 0, 0, -654, -207, 90, 0, 0, -864, -213, -144, 0, 0, -258, -285, -114, 0, 0, 0, -93, 96, 0, 0, -348, -276, -72, 0, 0, -690, -363, 0, 0, 0, -324, -225, -48, 0, 0, -1368, -450, 102, 0, 0, -354, -267, 216, 0, 0, 792, 111, -72, 0, 0, -216, -210, 0, 0, 0, -942, 42, 456, 0, 0, -324, -324, 342, 0, 0, -60, -603, -132, 0, 0, -36, 135, 648, 0, 0, 780, 117, 408, 0, 0, 162, 405, -546, 0, 0, 750, 78, 180, 0, 0, -48, -552, 222, 0, 0, 72, 138, 108, 0, 0, -18, 0, -144, 0, 0, 570, -18, -474, 0, 0, 978, 861, 186, 0, 0, 816, 216, -228, 0, 0, -228, 288, -126, 0, 0, -420, 0, 210, 0, 0, 108, 528, 204, 0, 0, 690, 399, -468, 0, 0, 396, 354, -222, 0, 0, 456, 648, -204, 0, 0, -186, 297, -474, 0, 0, -342, -72, 408, 0, 0, 420, -54, -450, 0, 0, 408, 513, -564, 0, 0, -396, 510, -234, 0, 0, 0, 222, -486, 0, 0, 414, -27, 246, 0, 0, -1032, 0, 252, 0, 0, -462, -186, 18, 0, 0, -258, -252, -432, 0, 0, 0, 456, -288, 0, 0, 192, 123, 408, 0, 0, -186, -105, 0, 0, 0, -612, 72, 180, 0, 0, -1044, -894, 366, 0, 0, -696, -282, 198, 0, 0, 1194, -81, 216, 0, 0, 360, 210, 0, 0, 0, -948, -18, 60, 0, 0, -18, -216, 210, 0, 0, -294, -684, 186, 0, 0, 396, -333, -36, 0, 0, 24, 432, -60, 0, 0, 672, 117, -270, 0, 0, 486, -300, -90, 0, 0, -408, 189, 750, 0, 0, 222, 162], '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], [0.30418866165863534, -1.725139626598461], [-0.651280029133428, 0.11483824113281846], [-1.9438833685926977, -0.7075156850528588], [0.8045033724313418, -0.5939480816928342], [0.0, 1.1584814771477006], [-0.7261763907488095, -0.8654233225319905], [-0.9359942820039783, 1.621189652024842], [-0.528714766064349, 0.19243643726444146], [-0.7799225677106997, -1.5685529195782648], [-0.08070575487924546, 0.13978646791405294], [1.3472622737743898, 0.23755868895705948], [0.6686649807789505, 0.24337414969972035], [-1.7138706919124163, 0.9895037053318437], [-0.45574902680920876, 0.4792142762240888], [0.9273914218484252, 0.7781738000299868], [-0.26081818613847113, 0.09493005630970532], [0.17115068643804396, 0.9706437764111701], [1.5964798902855244, -0.28150247881582796], [-1.9840883095507593, 0.5853670431371413], [0.5723278731177859, 0.4802401072456112], [0.21660139949589952, 0.18175015442949197], [-0.7983576044235763, -1.3827959334706097], [0.4234198150710141, -1.1633363808572632], [0.2944513525068047, -0.9556664695420225], [0.6232546953378396, -1.0795087983809997], [0.8949683520107478, -0.516710218949601], [0.7993016337393405, 2.1960631900320267], [0.8437859093041368, 0.4871600218751565], [0.6880778510285577, 0.9320022552645676], [0.0, -0.5379685621748095], [0.19053397721763782, -0.15987699001006017], [0.036509214279571274, -0.10030824183515233], [0.08442966691740156, 0.4788244350250382], [-1.0982278776075518, -0.26492490730184187], [1.1639116382221495, 0.0], [0.9305709722117208, 0.3661115481338067], [0.0, -2.8397805840836967], [-0.46343680745092913, -0.08171641300699257], [0.20989192743177537, 1.8601845506765036], [1.033640887045541, 0.37621451580509074], [1.0025768890449311, -0.8412618978244666], [-1.5336661922559673, 0.0], [0.2557836932668148, -0.21462800268134685], [-0.31105555959199827, 0.46884488382451117], [-2.62836739154396, 0.9566474952379023], [0.14746721588088432, -0.08514023678547322], [-0.6933556227306188, -0.4003090554276634], [-0.0479771990344117, 0.2720922166400394], [-1.5590893335757743, -0.7986726006770217], [0.15896407516954536, -0.09177795159061691], [-1.1276157070476032, -0.9461819238933517], [0.4158925822102509, -0.49564147898234934], [-0.6191580489533399, -1.701122758572881], [0.018097852489198474, 0.1603937131492211], [2.0827122845769925, -0.3672383688238904], [-1.00742821991435, 0.3666738852086092], [1.0970891647090457, -1.307459953438186], [-0.40244142230605207, 0.47961101084196117], [1.2249745703965245, -0.6090870766291022], [-0.10670297472343655, 0.29316401364127925], [-0.928070884471962, -0.16364393694237567], [0.5504791614698219, 0.3178192920578812], [0.38745990575526923, 0.6711002426639752], [0.6824948414111777, -0.20135695843279827], [-0.1619400338343317, -0.09349612212682851], [1.0218073024293277, 1.2177425236091497], [0.5741646380831562, 0.0], [0.6787522167132592, 0.8089053927493104], [-0.7911009239449761, 1.814009277703727], [-0.13435105815010884, -0.7619427135331139], [0.18289803708166144, -1.0372663125449921], [0.0, 1.233483406768053], [0.9146626780563982, -1.4939978776801013], [-0.08202322896719295, 0.6562207615462297], [-3.302538126162184, -0.5823265764607695], [0.17958108329805977, -0.03166499021030223], [-0.2819444444436976, 0.7746359946497374], [0.44781670954175373, 0.5336871724201029], [1.208284362192389, 0.07522109047657498], [-0.09252469533457891, 0.07763743773003537], [0.9634444073829428, -1.6687346638553444], [0.19120065078055803, 0.525319470604612], [-0.7727612254679587, -1.3384617046296932], [-0.1534455854996833, 0.23128401177380462], [-0.466523866453438, 2.645788322235143], [-0.6054855116563426, -0.2203787035223504], [-0.15108025018357685, -0.2616786693381723], [-0.5584509091219966, 0.6655358772336422], [0.7142033134398482, 0.6792315696619917], [-0.2749470571106504, -0.7554108309570123], [0.5735642572707322, 3.252844544642038], [0.061779363464906416, 0.3503681808460783], [-0.10202094125926459, -0.28030023242133584], [1.1171755984690843, -1.1746958618513896], [-0.10573098190284656, 0.1260052775312308], [-0.24177714181751067, -0.41877029373671437], [0.45480294505033747, 0.1655347344549301], [0.01577031444786644, -0.08943789761783943], [-1.2485281038776745, 1.6493752056808446]], 'angles': [-0.3023642755619485, -0.3314140400156987, None, -0.20664698387402528, -0.4295253713608361, -0.13655049813301975, -0.32771435293845586, -0.12736082723591777, -0.43618458304147256, -0.08568308791587732, -0.45665601498751096, None, -0.10176042624620979, -0.38908430329130406, -0.31976641922615806, -0.3364579262874469, -0.43956323169734024, -0.46937271580448214, 0.03510757782249665, -0.4645596039312078, 0.1057738468072488, -0.054483919645029896, -0.010468446894105705, -0.46040826201250656, -0.12219847909837604, -0.4071456935881076, 0.1910654499260352, -0.48260812026940486, -0.09948411482996886, 0.10098551745251641, -0.29404047332638333, -0.37295925104043587, -0.221675544241244, -0.3905440873638248, -0.35946092560881343, 0.0655110816201939, -0.4708297840843827, 0.008443457151229003, -0.010225439625802364, -0.2706263378783883, 0.01624864180382943, -0.10296064202913217, -0.49090898085579804, -0.33988232426591725, -0.09951266672242336, -0.30858858936860506, -0.3214061415222587, -0.49946538871360563, -0.34229480814108726, -0.2033864735398196, -0.2164404754755496, -0.0138149301758055, -0.2205460424427349, -0.1125780214166563, -0.4615425937323466, -0.3705825375746665, -0.019395302473907357, 0.07022088809612165, -0.023070808427897726, -0.3541655121228522, -0.28970478893869117, -0.3324591540790858, -0.09001630023590175, -0.491069557981651, -0.3368910675302353, 0.26833976891611067, -0.31620568811182487, 0.11781678401048241, -0.04558750764995311, -0.0764006829273338, -0.3011538853871695, -0.23966102028554734, -0.29912178979517534, -0.20968563755549977, -0.37156409703803367, -0.20168721656906682, -0.3904677726705774, -0.4585580081357438, -0.40607395910219984, -0.23443694318139585, -0.45559408173703425, -0.3610877733358513, 0.18096325348194572, -0.12031720489504208, 0.057923616326057664, 0.031217358481745283, -0.1444699293600433, -0.2162375448970178, -0.3628850538200607, -0.011399475868144108, -0.1089014337484334, -0.23974699842540403, -0.16303792388008284, -0.06534278769988133, -0.2039899055918631, -0.10931827737229022, -0.30604710003484, -0.49610761065094316, -0.32747211218539185, 0.3453338519049981], 'char_orbit_index': 22, 'conrey_index': 4, 'dual_conrey_index': 139, 'dual_embedding_index': 16, 'dual_embedding_m': 80, 'embedding_index': 16, 'embedding_m': 16, 'hecke_orbit': 1, 'hecke_orbit_code': 1443142566073, 'label': '185.2.v.a.4.16', 'level': 185, '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': 740, 'analytic_conductor': 1.4772324373936871, 'char_conductor': 185, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 18, 'char_parity': 1, 'char_values': [185, 18, [112, 76], [9, 1]], 'conrey_index': 4, 'cusp_dim': 96, 'dim': 96, 'eis_dim': 24, 'eis_new_dim': 24, 'hecke_cutter_primes': [], 'hecke_orbit_code': 1443142566073, 'hecke_orbit_dims': [96], 'label': '185.2.v', 'level': 185, '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': [5, 37], 'level_radical': 185, 'mf_dim': 120, 'mf_new_dim': 120, 'num_forms': 1, 'prim_orbit_index': 22, 'relative_dim': 16, 'sturm_bound': 38, 'trace_bound': 0, 'trace_display': [0, 0, -12, 0], 'traces': [96, 0, 0, -12, -12, 0, 0, 0, -6, -3, -30, 0, 0, -36, -21, 0, 0, 0, -18, -39, -24, 0, 0, 96, 36, 48, 0, 0, -18, -30, 0, 0, 0, -54, 6, 24, 0, 0, -36, -63, 72, 0, 0, -84, -36, -18, 0, 0, -6, -27, -18, 0, 0, 24, 6, 90, 0, 0, 18, 108, -144, 0, 0, 66, 27, -36, 0, 0, -6, -66, -30, 0, 0, -6, 96, -54, 0, 0, 60, 0, -18, 0, 0, 48, 21, -72, 0, 0, 108, 165, -54, 0, 0, 6, 57, 24, 0, 0, -24, -63, -78, 0, 0, 42, 0, 12, 0, 0, -36, -72, -120, 0, 0, 180, -60, 66, 0, 0, 162, 138, 6, 0, 0, 102, 63, -114, 0, 0, -174, 3, 48, 0, 0, -126, -45, -78, 0, 0, 30, 18, 66, 0, 0, 156, 126, -60, 0, 0, 24, 255, 48, 0, 0, 0, 57, -360, 0, 0, 84, -111, 108, 0, 0, -348, 63, 48, 0, 0, -150, -48, -72, 0, 0, -66, -138, 54, 0, 0, 0, -6, -12, 0, 0, 48, 111, 48, 0, 0, -360, -186, 0, 0, 0, 48, -111, -60, 0, 0, -252, -222, 276, 0, 0, -384, -102, 222, 0, 0, 282, -54, 72, 0, 0, 126, -165, 0, 0, 0, -300, 63, 216, 0, 0, -168, -195, 396, 0, 0, 24, -270, 138, 0, 0, 144, -201, 468, 0, 0, 168, 51, -24, 0, 0, 42, 99, -18, 0, 0, 138, -51, -162, 0, 0, -120, -120, 132, 0, 0, -18, 354, -60, 0, 0, 174, 0, -186, 0, 0, 18, -87, 84, 0, 0, 342, 135, -276, 0, 0, 384, 210, -114, 0, 0, -108, -99, 72, 0, 0, 12, 0, 36, 0, 0, 216, -30, -108, 0, 0, 210, 78, 174, 0, 0, 720, 141, -30, 0, 0, 54, 342, -156, 0, 0, -462, 198, -126, 0, 0, -72, -300, -90, 0, 0, 78, 18, 120, 0, 0, 300, 279, 228, 0, 0, -420, 96, -180, 0, 0, 0, 135, 0, 0, 0, 96, -60, -90, 0, 0, -462, 54, -6, 0, 0, -438, -144, -126, 0, 0, -192, -243, -66, 0, 0, 0, 171, 78, 0, 0, -132, 57, -348, 0, 0, -360, -252, 0, 0, 0, -228, -177, -66, 0, 0, -702, -312, 108, 0, 0, -396, -543, 216, 0, 0, 432, 177, 90, 0, 0, 342, -201, 0, 0, 0, -546, 12, -456, 0, 0, -252, -180, 210, 0, 0, 126, -126, 24, 0, 0, 270, 6, -144, 0, 0, 120, 207, 408, 0, 0, 342, 396, -354, 0, 0, 450, -45, -234, 0, 0, -96, -57, 240, 0, 0, 420, 264, -336, 0, 0, 78, 0, -18, 0, 0, 246, 78, 30, 0, 0, 624, 720, -354, 0, 0, 528, 162, -336, 0, 0, 204, 87, -162, 0, 0, -300, 0, -192, 0, 0, 6, 222, -264, 0, 0, 630, -99, 192, 0, 0, 576, 465, -30, 0, 0, 276, 558, -114, 0, 0, -36, 123, -216, 0, 0, -756, -267, 408, 0, 0, -36, 63, 84, 0, 0, 402, 390, 0, 0, 0, -168, 297, -12, 0, 0, 0, 18, -774, 0, 0, 18, -21, -102, 0, 0, -702, -93, -102, 0, 0, -486, -198, -90, 0, 0, -126, -192, 90, 0, 0, 0, -81, -396, 0, 0, -264, 120, 516, 0, 0, -522, -234, 0, 0, 0, -504, -207, 0, 0, 0, -486, -699, 498, 0, 0, -540, -312, 660, 0, 0, 450, -195, 228, 0, 0, -72, 105, 0, 0, 0, -240, -126, 228, 0, 0, -204, -558, 240, 0, 0, -162, -351, 336, 0, 0, 42, -108, 810, 0, 0, 84, -21, 210, 0, 0, 516, 477, -90, 0, 0, 252, -258, -108, 0, 0, -102, -132, 96, 0, 0, -6, 0, 300, 0, 0, 600, 0, 354, 0, 0, 204, -63, 30, 0, 0, 846, 204, 54, 0, 0, 438, 624, 174, 0, 0, -300, 9, -294, 0, 0, 372, 0, 306, 0, 0, -90, -192, 6, 0, 0, 378, 333, 30, 0, 0, 882, 36, -204, 0, 0, 108, 189, -648, 0, 0, 0, 399, 342, 0, 0, -252, -876, -324, 0, 0, 162, -126, 66, 0, 0, 120, 360, 192, 0, 0, -300, 21, -402, 0, 0, 0, 63, -108, 0, 0, -102, -117, -462, 0, 0, -654, -207, 90, 0, 0, -864, -213, -144, 0, 0, -258, -285, -114, 0, 0, 0, -93, 96, 0, 0, -348, -276, -72, 0, 0, -690, -363, 0, 0, 0, -324, -225, -48, 0, 0, -1368, -450, 102, 0, 0, -354, -267, 216, 0, 0, 792, 111, -72, 0, 0, -216, -210, 0, 0, 0, -942, 42, 456, 0, 0, -324, -324, 342, 0, 0, -60, -603, -132, 0, 0, -36, 135, 648, 0, 0, 780, 117, 408, 0, 0, 162, 405, -546, 0, 0, 750, 78, 180, 0, 0, -48, -552, 222, 0, 0, 72, 138, 108, 0, 0, -18, 0, -144, 0, 0, 570, -18, -474, 0, 0, 978, 861, 186, 0, 0, 816, 216, -228, 0, 0, -228, 288, -126, 0, 0, -420, 0, 210, 0, 0, 108, 528, 204, 0, 0, 690, 399, -468, 0, 0, 396, 354, -222, 0, 0, 456, 648, -204, 0, 0, -186, 297, -474, 0, 0, -342, -72, 408, 0, 0, 420, -54, -450, 0, 0, 408, 513, -564, 0, 0, -396, 510, -234, 0, 0, 0, 222, -486, 0, 0, 414, -27, 246, 0, 0, -1032, 0, 252, 0, 0, -462, -186, 18, 0, 0, -258, -252, -432, 0, 0, 0, 456, -288, 0, 0, 192, 123, 408, 0, 0, -186, -105, 0, 0, 0, -612, 72, 180, 0, 0, -1044, -894, 366, 0, 0, -696, -282, 198, 0, 0, 1194, -81, 216, 0, 0, 360, 210, 0, 0, 0, -948, -18, 60, 0, 0, -18, -216, 210, 0, 0, -294, -684, 186, 0, 0, 396, -333, -36, 0, 0, 24, 432, -60, 0, 0, 672, 117, -270, 0, 0, 486, -300, -90, 0, 0, -408, 189, 750, 0, 0, 222, 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: 16859753
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 4, 'source_dim': 96, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566073, 'source_is_minimal': True, 'source_label': '185.2.v.a.4.16', 'source_level': 185, 'target_conrey_index': 4, 'target_dim': 96, 'target_embedding_index': 16, 'target_hecke_orbit_code': 1443142566073, 'target_is_minimal': True, 'target_label': '185.2.v.a.4.16', 'target_level': 185, 'twist_class_label': '185.2.v.a.4.1', 'twist_class_level': 185, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 16859754
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 4, 'source_dim': 96, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566073, 'source_is_minimal': True, 'source_label': '185.2.v.a.4.16', 'source_level': 185, 'target_conrey_index': 226, 'target_dim': 96, 'target_embedding_index': 16, 'target_hecke_orbit_code': 18016253968909213, 'target_is_minimal': False, 'target_label': '925.2.bb.e.226.16', 'target_level': 925, 'twist_class_label': '185.2.v.a.4.1', 'twist_class_level': 185, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 16859755
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 4, 'source_dim': 96, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566073, 'source_is_minimal': True, 'source_label': '185.2.v.a.4.16', 'source_level': 185, 'target_conrey_index': 226, 'target_dim': 96, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18016253968909213, 'target_is_minimal': False, 'target_label': '925.2.bb.e.226.1', 'target_level': 925, 'twist_class_label': '185.2.v.a.4.1', 'twist_class_level': 185, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 16859756
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 4, 'source_dim': 96, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566073, 'source_is_minimal': True, 'source_label': '185.2.v.a.4.16', 'source_level': 185, 'target_conrey_index': 4, 'target_dim': 96, 'target_embedding_index': 1, 'target_hecke_orbit_code': 1443142566073, 'target_is_minimal': True, 'target_label': '185.2.v.a.4.1', 'target_level': 185, 'twist_class_label': '185.2.v.a.4.1', 'twist_class_level': 185, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 16859757
    {'conductor': 37, 'degree': 6, 'order': 18, 'parity': 1, 'source_conrey_index': 4, 'source_dim': 96, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566073, 'source_is_minimal': True, 'source_label': '185.2.v.a.4.16', 'source_level': 185, 'target_conrey_index': 139, 'target_dim': 96, 'target_embedding_index': 1, 'target_hecke_orbit_code': 1443142566073, 'target_is_minimal': True, 'target_label': '185.2.v.a.139.1', 'target_level': 185, 'twist_class_label': '185.2.v.a.4.1', 'twist_class_level': 185, 'twisting_char_label': '37.28', 'twisting_conrey_index': 28, 'weight': 2}
  • id: 16859758
    {'conductor': 185, 'degree': 12, 'order': 36, 'parity': -1, 'source_conrey_index': 4, 'source_dim': 96, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566073, 'source_is_minimal': True, 'source_label': '185.2.v.a.4.16', 'source_level': 185, 'target_conrey_index': 176, 'target_dim': 96, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18016253968909213, 'target_is_minimal': False, 'target_label': '925.2.bb.e.176.1', 'target_level': 925, 'twist_class_label': '185.2.v.a.4.1', 'twist_class_level': 185, 'twisting_char_label': '185.28', 'twisting_conrey_index': 28, 'weight': 2}
  • id: 16859759
    {'conductor': 185, 'degree': 12, 'order': 36, 'parity': -1, 'source_conrey_index': 4, 'source_dim': 96, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566073, 'source_is_minimal': True, 'source_label': '185.2.v.a.4.16', 'source_level': 185, 'target_conrey_index': 176, 'target_dim': 96, 'target_embedding_index': 16, 'target_hecke_orbit_code': 18016253968909213, 'target_is_minimal': False, 'target_label': '925.2.bb.e.176.16', 'target_level': 925, 'twist_class_label': '185.2.v.a.4.1', 'twist_class_level': 185, 'twisting_char_label': '185.102', 'twisting_conrey_index': 102, 'weight': 2}
  • id: 16859760
    {'conductor': 185, 'degree': 6, 'order': 18, 'parity': 1, 'source_conrey_index': 4, 'source_dim': 96, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566073, 'source_is_minimal': True, 'source_label': '185.2.v.a.4.16', 'source_level': 185, 'target_conrey_index': 139, 'target_dim': 96, 'target_embedding_index': 16, 'target_hecke_orbit_code': 1443142566073, 'target_is_minimal': True, 'target_label': '185.2.v.a.139.16', 'target_level': 185, 'twist_class_label': '185.2.v.a.4.1', 'twist_class_level': 185, 'twisting_char_label': '185.139', 'twisting_conrey_index': 139, 'weight': 2}
• hecke_orbit_code 1443142566073 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 22, 'hecke_orbit': 1, 'label': '185.2.v.a', 'level': 185, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 13030098
    {'hecke_orbit_code': 1443142566073, 'n': 1, 'trace_an': 96}
  • id: 13030099
    {'hecke_orbit_code': 1443142566073, 'n': 2, 'trace_an': 0}
  • id: 13030100
    {'hecke_orbit_code': 1443142566073, 'n': 3, 'trace_an': 0}
  • id: 13030101
    {'hecke_orbit_code': 1443142566073, 'n': 4, 'trace_an': -12}
  • id: 13030102
    {'hecke_orbit_code': 1443142566073, 'n': 5, 'trace_an': -12}
  • id: 13030103
    {'hecke_orbit_code': 1443142566073, 'n': 6, 'trace_an': 0}
  • id: 13030104
    {'hecke_orbit_code': 1443142566073, 'n': 7, 'trace_an': 0}
  • id: 13030105
    {'hecke_orbit_code': 1443142566073, 'n': 8, 'trace_an': 0}
  • id: 13030106
    {'hecke_orbit_code': 1443142566073, 'n': 9, 'trace_an': -6}
  • id: 13030107
    {'hecke_orbit_code': 1443142566073, 'n': 10, 'trace_an': -3}
  • id: 13030108
    {'hecke_orbit_code': 1443142566073, 'n': 11, 'trace_an': -30}
  • id: 13030109
    {'hecke_orbit_code': 1443142566073, 'n': 12, 'trace_an': 0}
  • id: 13030110
    {'hecke_orbit_code': 1443142566073, 'n': 13, 'trace_an': 0}
  • id: 13030111
    {'hecke_orbit_code': 1443142566073, 'n': 14, 'trace_an': -36}
  • id: 13030112
    {'hecke_orbit_code': 1443142566073, 'n': 15, 'trace_an': -21}
  • id: 13030113
    {'hecke_orbit_code': 1443142566073, 'n': 16, 'trace_an': 0}
  • id: 13030114
    {'hecke_orbit_code': 1443142566073, 'n': 17, 'trace_an': 0}
  • id: 13030115
    {'hecke_orbit_code': 1443142566073, 'n': 18, 'trace_an': 0}
  • id: 13030116
    {'hecke_orbit_code': 1443142566073, 'n': 19, 'trace_an': -18}
  • id: 13030117
    {'hecke_orbit_code': 1443142566073, 'n': 20, 'trace_an': -39}
  • id: 13030118
    {'hecke_orbit_code': 1443142566073, 'n': 21, 'trace_an': -24}
  • id: 13030119
    {'hecke_orbit_code': 1443142566073, 'n': 22, 'trace_an': 0}
  • id: 13030120
    {'hecke_orbit_code': 1443142566073, 'n': 23, 'trace_an': 0}
  • id: 13030121
    {'hecke_orbit_code': 1443142566073, 'n': 24, 'trace_an': 96}
  • id: 13030122
    {'hecke_orbit_code': 1443142566073, 'n': 25, 'trace_an': 36}
  • id: 13030123
    {'hecke_orbit_code': 1443142566073, 'n': 26, 'trace_an': 48}
  • id: 13030124
    {'hecke_orbit_code': 1443142566073, 'n': 27, 'trace_an': 0}
  • id: 13030125
    {'hecke_orbit_code': 1443142566073, 'n': 28, 'trace_an': 0}
  • id: 13030126
    {'hecke_orbit_code': 1443142566073, 'n': 29, 'trace_an': -18}
  • id: 13030127
    {'hecke_orbit_code': 1443142566073, 'n': 30, 'trace_an': -30}
  • id: 13030128
    {'hecke_orbit_code': 1443142566073, 'n': 31, 'trace_an': 0}
  • id: 13030129
    {'hecke_orbit_code': 1443142566073, 'n': 32, 'trace_an': 0}
  • id: 13030130
    {'hecke_orbit_code': 1443142566073, 'n': 33, 'trace_an': 0}
  • id: 13030131
    {'hecke_orbit_code': 1443142566073, 'n': 34, 'trace_an': -54}
  • id: 13030132
    {'hecke_orbit_code': 1443142566073, 'n': 35, 'trace_an': 6}
  • id: 13030133
    {'hecke_orbit_code': 1443142566073, 'n': 36, 'trace_an': 24}
  • id: 13030134
    {'hecke_orbit_code': 1443142566073, 'n': 37, 'trace_an': 0}
  • id: 13030135
    {'hecke_orbit_code': 1443142566073, 'n': 38, 'trace_an': 0}
  • id: 13030136
    {'hecke_orbit_code': 1443142566073, 'n': 39, 'trace_an': -36}
  • id: 13030137
    {'hecke_orbit_code': 1443142566073, 'n': 40, 'trace_an': -63}
  • id: 13030138
    {'hecke_orbit_code': 1443142566073, 'n': 41, 'trace_an': 72}
  • id: 13030139
    {'hecke_orbit_code': 1443142566073, 'n': 42, 'trace_an': 0}
  • id: 13030140
    {'hecke_orbit_code': 1443142566073, 'n': 43, 'trace_an': 0}
  • id: 13030141
    {'hecke_orbit_code': 1443142566073, 'n': 44, 'trace_an': -84}
  • id: 13030142
    {'hecke_orbit_code': 1443142566073, 'n': 45, 'trace_an': -36}
  • id: 13030143
    {'hecke_orbit_code': 1443142566073, 'n': 46, 'trace_an': -18}
  • id: 13030144
    {'hecke_orbit_code': 1443142566073, 'n': 47, 'trace_an': 0}
  • id: 13030145
    {'hecke_orbit_code': 1443142566073, 'n': 48, 'trace_an': 0}
  • id: 13030146
    {'hecke_orbit_code': 1443142566073, 'n': 49, 'trace_an': -6}
  • id: 13030147
    {'hecke_orbit_code': 1443142566073, 'n': 50, 'trace_an': -27}
  • id: 13030148
    {'hecke_orbit_code': 1443142566073, 'n': 51, 'trace_an': -18}
  • id: 13030149
    {'hecke_orbit_code': 1443142566073, 'n': 52, 'trace_an': 0}
  • id: 13030150
    {'hecke_orbit_code': 1443142566073, 'n': 53, 'trace_an': 0}
  • id: 13030151
    {'hecke_orbit_code': 1443142566073, 'n': 54, 'trace_an': 24}
  • id: 13030152
    {'hecke_orbit_code': 1443142566073, 'n': 55, 'trace_an': 6}
  • id: 13030153
    {'hecke_orbit_code': 1443142566073, 'n': 56, 'trace_an': 90}
  • id: 13030154
    {'hecke_orbit_code': 1443142566073, 'n': 57, 'trace_an': 0}
  • id: 13030155
    {'hecke_orbit_code': 1443142566073, 'n': 58, 'trace_an': 0}
  • id: 13030156
    {'hecke_orbit_code': 1443142566073, 'n': 59, 'trace_an': 18}
  • id: 13030157
    {'hecke_orbit_code': 1443142566073, 'n': 60, 'trace_an': 108}
  • id: 13030158
    {'hecke_orbit_code': 1443142566073, 'n': 61, 'trace_an': -144}
  • id: 13030159
    {'hecke_orbit_code': 1443142566073, 'n': 62, 'trace_an': 0}
  • id: 13030160
    {'hecke_orbit_code': 1443142566073, 'n': 63, 'trace_an': 0}
  • id: 13030161
    {'hecke_orbit_code': 1443142566073, 'n': 64, 'trace_an': 66}
  • id: 13030162
    {'hecke_orbit_code': 1443142566073, 'n': 65, 'trace_an': 27}
  • id: 13030163
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  • id: 13030164
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  • id: 13030165
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  • id: 13030166
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  • id: 13030167
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  • id: 13030168
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  • id: 13030169
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  • id: 13030170
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  • id: 13030171
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  • id: 13030172
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  • id: 13030173
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  • id: 13030174
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  • id: 13030175
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  • id: 13030176
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  • id: 13030177
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  • id: 13030178
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  • id: 13030179
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  • id: 13030180
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  • id: 13030184
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  • id: 13030188
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  • id: 13030193
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  • id: 13030197
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  • id: 13030200
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  • id: 13030201
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  • id: 13030202
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  • id: 13030203
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  • id: 13030206
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  • id: 13030207
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  • id: 13030208
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  • id: 13030209
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  • id: 13030210
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  • id: 13030211
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  • id: 13030212
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  • id: 13030218
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  • id: 13030219
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  • id: 13030220
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  • id: 13030221
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  • id: 13030222
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  • id: 13030226
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  • id: 13030227
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  • id: 13030228
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  • id: 13030229
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  • id: 13030230
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  • id: 13030231
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  • id: 13030232
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  • id: 13030233
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  • id: 13030235
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  • id: 13030237
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  • id: 13030238
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  • id: 13030239
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  • id: 13030240
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  • id: 13030241
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  • id: 13030242
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  • id: 13030246
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  • id: 13030247
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  • id: 13030248
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  • id: 13030250
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  • id: 13030251
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  • id: 13030252
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  • id: 13030253
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  • id: 13030254
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  • id: 13030255
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  • id: 13030256
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  • id: 13030257
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  • id: 13030258
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  • id: 13030259
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  • id: 13030260
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  • id: 13030261
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  • id: 13030262
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  • id: 13030263
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  • id: 13030264
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  • id: 13030265
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  • id: 13030266
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  • id: 13030267
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  • id: 13030268
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  • id: 13030269
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  • id: 13030270
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  • id: 13030271
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  • id: 13030272
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  • id: 13030273
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  • id: 13030274
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  • id: 13030275
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  • id: 13030276
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  • id: 13030277
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  • id: 13030278
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  • id: 13030279
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  • id: 13030280
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  • id: 13030281
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  • id: 13030282
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  • id: 13030283
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  • id: 13030284
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  • id: 13030285
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  • id: 13030286
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  • id: 13030287
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  • id: 13030288
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  • id: 13030289
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  • id: 13030292
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  • id: 13030293
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  • id: 13030294
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  • id: 13030295
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  • id: 13030296
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  • id: 13030297
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  • id: 13030298
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  • id: 13030299
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  • id: 13030300
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  • id: 13030301
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  • id: 13030302
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  • id: 13030303
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  • id: 13030304
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  • id: 13030305
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  • id: 13030307
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  • id: 13030308
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  • id: 13030309
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  • id: 13030310
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  • id: 13030311
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  • id: 13030312
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  • id: 13030313
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  • id: 13030314
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  • id: 13030315
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  • id: 13030316
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  • id: 13030317
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  • id: 13030318
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  • id: 13030319
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  • id: 13030320
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  • id: 13030321
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