Embedded newform data - 189.2.v.b.22.1

Formats: - HTML - YAML - JSON - 2026-04-18T19:13:46.981756

• 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': 756, 'analytic_conductor': 1.5091725982021993, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 27, 'char_degree': 6, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 9, 'char_parity': 1, 'char_values': [189, 9, [29, 136], [7, 9]], 'cm_discs': [], 'conrey_index': 22, 'dim': 54, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [5041, 206823, 3191328, 23787929, 140450811, 489796551, 1056164825, 1265307444, 1668238200, 1537359608, -274787070, 1182961575, 11974089881, 10017448008, -8947061289, -7086435613, 8921149011, 7589051856, 27430123247, 24420190260, 7678654443, 5695148534, 654799047, -2171780811, 6699197732, 812458269, 1272182643, -956889625, 144556815, -227295117, 531409874, -40827171, -5118570, -15902122, 3898764, 1122561, 10942361, -2887710, 471330, -339541, 66462, -57204, 125975, -19566, -153, -655, 156, -27, 416, -39, 0, -7, 0, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505042769936573, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 27, 5, 1, 9, 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': '189.2.v.b', 'level': 189, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'minimal_twist': '189.2.v.b', 'prim_orbit_index': 5, 'related_objects': [], 'relative_dim': 9, 'rm_discs': [], 'sato_tate_group': '1.2.3.c9', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '189.2.v', 'trace_display': [0, 3, -3, 0], 'traces': [54, 0, 3, 0, -3, 0, 0, 9, 3, 0, -6, -60, 9, 0, -9, 0, 30, -3, 0, 18, 3, -9, 0, 36, -45, -54, -57, -54, 30, 24, -9, 51, -12, -9, -12, 48, 0, -78, -36, 45, -51, -12, -9, 30, 51, 0, -9, 15, 0, 126, -12, 9, -60, -90, 0, 9, 39, -27, 42, 135, 0, 36, 9, -27, -18, -147, -27, -81, 48, 0, 0, 75, 0, 84, 15, 54, -3, -66, 72, -222, -69, 0, -54, -12, 18, 66, 3, 54, 90, 15, 0, -129, 21, 36, -48, 36, 0, 3, 51, -27, 81, 12, -36, 18, -33, -72, -54, 30, 0, 120, 93, 0, 27, 153, -45, 18, 105, 0, 6, -198, 0, -6, -45, -18, 102, 9, 0, 189, 120, 0, -111, -84, 9, -60, -195, 0, -78, 96, 18, 63, 93, 36, 84, -30, -27, -96, 6, -216, -18, -87, -9, 165, 30, 0, 66, 246, 27, -57, -51, 216, 18, -132, -54, -117, -117, 126, 69, 87, -9, 51, -30, 0, 3, -54, 45, -156, -99, 63, -21, 171, 0, 66, -48, -54, -219, -183, -162, -144, 0, 108, -243, -105, -63, 57, 156, 0, 111, -282, 0, -231, -81, 36, -30, -21, 36, -24, 222, 0, 150, -3, -27, -141, -129, 18, -210, -174, 0, 93, -72, 36, 183, -3, -72, -21, 159, 135, 159, 0, -54, -225, -18, -135, 96, 201, 27, -12, 81, 9, -36, -93, 81, 198, -147, 0, -3, 210, 90, 273, 180, -18, 12, -45, 27, -147, -21, 180, 0, -147, 9, 54, -12, 27, 183, 147, -243, -66, -48, -144, -90, 246, -108, 138, -60, -99, 129, 210, -36, 153, 69, 0, -78, -48, 27, -159, 162, -27, -42, -51, -27, 183, -39, 18, 6, -9, 180, 270, 0, 0, 45, 108, 9, 108, 90, -45, 30, 159, 0, -27, 81, -288, 168, -399, 45, -90, 6, -54, 18, 132, 135, 270, -168, -18, -144, 81, 0, -21, 120, 9, 27, 102, 72, -24, 39, -54, -72, 45, 162, -222, -63, 198, 132, -6, 27, 156, 93, 36, -105, -3, -216, 48, -132, 0, -123, -9, -144, -51, 51, 99, -72, -366, -27, -264, -96, -9, -60, -249, 72, -96, -33, 0, 60, 12, 45, -54, -87, 72, -402, 3, -54, -255, -183, 162, -54, -60, -27, -54, -141, -135, -18, -648, -54, -9, 123, -351, 48, -24, -27, -33, -72, 198, -42, 321, 144, -282, -216, 0, 105, 12, 81, 207, -207, 279, -42, -15, 0, 234, 207, 153, 78, -15, 9, -18, 228, 0, -231, 147, 0, 327, -123, -225, 156, -252, 162, -36, 177, -297, -33, 234, -9, -75, -15, 0, 189, -66, -45, -165, 81, 27, 147, 210, 27, -75, -108, 171, -45, 150, 117, -12, -216, 108, -78, -33, 54, 180, 12, -396, 132, 132, 0, -270, 27, -108, 18, 144, -45, -99, -120, 189, 24, 9, 171, 381, -60, 45, -42, 225, 0, 345, -261, 0, -84, 72, 153, -258, 339, 81, 0, -342, 117, 84, 159, 270, 57, 129, -54, 195, -93, -315, 429, 300, -90, -348, 156, 0, -258, 399, -153, 123, -261, 27, 99, -102, 27, -84, 144, 180, 330, -111, 0, 96, -84, 0, -252, 129, 63, -375, 30, -45, 0, -66, 0, -3, -30, -162, -3, 147, -36, 57, -114, 0, 144, 114, -72, -285, 201, -387, 78, -132, 0, 54, 39, -27, -357, 105, 18, 450, 105, 0, 33, 60, 27, -471, 147, -9, 57, -126, 0, 24, -72, 27, 54, -69, -9, 6, -72, 54, -168, -12, -360, -168, -105, -567, -606, 150, 0, 225, -189, -324, -12, -780, -135, -45, 180, 0, 207, 69, 171, 75, -27, 117, -90, 54, 0, -291, -45, 27, -36, 165, 72, 804, -90, -162, -12, 327, 72, -93, 117, 0, 144, -45, -54, -78, 183, -234, 288, 93, -18, 39, 201, -135, 78, -12, 270, -15, -330, 117, -24, 297, -162, 363, -60, 243, -207, -174, 342, 213, 213, 0, 153, 306, -45, -93, 468, 333, 6, -390, 0, -57, -27, -108, -102, -111, -90, 156, -234, 216, 327, 186, -27, -228, 9, -171, 75, 447, 27, 0, 186, 225, -60, -57, 108, -21, -36, 0, 57, 135, 252, 420, -51, 144, -48, 327, 0, -150, -33, -27, -36, -177, -27, -279, -117, 243, -6, 3, -342, 171, -144, -297, 87, -267, 27, -312, -342, -99, -210, 387, 261, 144, -75, 216, -411, -252, 153, -291, -36, 90, 60, -114, 27, -132, -120, 72, 117, -129, -90, -378, -30, -27, -93, -48, -108, 18, -231, -135, -72, 24, -432, -6, -174, -108, -420, -492, 45, -132, -150, -54, 204, -282, 90, -120, 249, 612, 108, -57, 27, -48, -57, 279, -195, 75, 216, -294, -96, 54, 231, -261, 207, 159, -369, -504, -105, 231, -108, -60, 282, -648, 51, -171, -90, -336, -339, -108, -414, -432, 18, 261, 48, 387, -6, 78, 0, -141, 33, 504, 213, 54, 90, -30, -6, -108, 279, 153, 144, -138, 258, -18, 12, -117, -54, 216, -51, -576, -15, 279, -396, 600, 0, -54, 156, -93, 54, 105, -138, 180, 141, 132, 27, 324, 564, 477, 297, 114, -9, -114, -9, -54, -15, -309, 54, 438, -21, 378, 258, 312, -54, 381, 126, -63, -561, 150, -108, -270, 264, -189, 51, -303, -216, 162, -120, -576, 201, 24, -54, -45, 189, -279, 345, 324, -18, 294, 84, -216, -216, 297, 36, 45, -216, 18, -72, -675, 0, 105, 111, 468, 291, 36, -27, 183, 150, 0, -102, -369, -261, 3, 339, -306, 132, 171, 162, -186, -303, -81, 45, 75, 54, -363, -153, 81, 57, 105, -9, 309, 96, 702, -273, -774, 81, 252, -78, 243, -141, 258, 126, -18, 75, 162, -441, -111, 126, -528, -189, -36, 81, -537, 270, 327, -21, -297, 78, 423, -135, -447, -117, 162, -162, -21, 162, -423, -54, 315, -72, 441, 0, 342, -339, 576, -105, -258, 288, 30, 246, 0, 60, 711, 36, 183, -3, 45, -276, -240, -54, -639, -33, -9, -138, -168, -63, 750, -366, -108], '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], [-1.501719908685666, 1.260092621509721], [0.8834858389761818, 0.4684578661187708], [0.49368109169271385, -2.7998046000059116], [0.16602954065145273, -0.060429810806019224], [-1.9170485740168426, 0.4097814829712496], [-0.06563284196089399, -0.3722223433826604], [1.8064643365329665, 3.128888012936301], [0.5610944553428956, 0.8277517817458682], [-0.17318270791032947, 0.2999612490930511], [0.2587036685957778, 0.09416043486433123], [1.7477507419491025, -2.2423189252480418], [1.2929142244512, 1.084883848880861], [0.5675967738938426, 0.4762702436317373], [0.1749935682374276, 0.02438896222713144], [-3.9839497020494385, -1.4500391063597011], [-0.17503874358594212, 0.30317599718387267], [-1.88565062686106, -0.5360203469502042], [-0.06008974139179308, -0.1040784851042602], [-0.08722601739013056, -0.4946833266223056], [0.11638479825855791, -0.3595993904214211], [-0.5071513187909887, 0.18458798430876966], [0.12905413194705032, -0.7319023522578515], [0.13023345807763903, 3.6105806794834403], [-0.7421303967840969, 0.6227213422269842], [-3.308649164251095, 0.0], [0.10795217227082195, 0.9941560886007844], [-1.074551522297902, 0.0], [-0.25696219551729516, 0.21561688348506647], [-0.2935236766627763, 0.1838827140189744], [0.09902888061011392, -0.5616206902212317], [4.414917748088498, -1.606898647037785], [0.18445083130619674, 0.20438117934195155], [-0.11917067103591521, -0.6758504600776287], [-0.03339031639080391, -0.057833724469672235], [2.5945449694515803, -1.1623094338439612], [0.7355035305139697, -1.2739294839964816], [0.22138649209361647, 0.08057809339068635], [0.6340490354800606, 1.5641553560812314], [0.4890045546527618, 0.41032354145314254], [-1.0909895076183413, -0.9154488934608326], [0.2783511699561849, 0.6866731892885839], [1.006857359394406, 0.36646610897143184], [0.39134792820898523, -0.6778344950947799], [0.14317913824790615, 0.10352441631601048], [0.7284615945026951, 1.2617324930413052], [0.029648559600162924, 0.1681453370382561], [-2.8404809194000227, -3.1474015925770664], [-0.13424180296941549, 0.048860020475095536], [0.3297854230946185, -1.8703060743714441], [-0.2966694319295503, 0.18585342392105314], [3.675750096360859, -3.0843205501562485], [-0.9574654816464736, 0.0], [-1.414842678159771, -1.3569142548384598], [0.048642548526066684, 0.0], [1.0460786400494064, -0.8777642010478875], [-0.0043320505465741, -0.12010137975973553], [0.11418800083544725, -0.6475923331565638], [0.12088132875190942, -0.043997205544242295], [0.1546753444395497, -0.4779074278250556], [0.21314806047910972, 1.208822720281951], [0.5589804462879069, 0.9681825334081806], [0.2712814842279654, -0.2631795949009251], [-2.4853133890763957, 4.304689062611514], [0.2802212805217384, 0.10199220511787233], [-0.5345327016103851, -0.07449815441819144], [-0.935439172047698, -0.7849266642540036], [0.7624202335047571, 0.6397465367359374], [0.4568829121826047, -0.5861689404674434], [0.12301875236004374, 0.044775164115621054], [0.22694883714376632, -0.39308691665167805], [-1.5763455045879817, 3.250905788672939], [-0.22005804628921552, -0.3811517167872651], [0.5007488484262291, 2.8398878402741774], [-0.9473804073987944, 0.2025086654264264], [-0.3210645904863877, 0.11685795421391286], [0.018069160723481553, -0.1024753027068313], [-2.923144682756221, -1.5499627272207224], [-0.3870981010303501, 0.32481387380399224], [-0.7490789278684062, 0.0], [-0.3703460243669187, 0.9288938702756185], [2.7919110597768695, 0.0], [1.179732941651849, -0.989913476227754], [-0.9493510532004953, -0.503382113170352], [-0.010740734043033747, 0.0609137297076063], [-1.9737989817575365, 0.7184040777846823], [-0.32802988602835303, 0.07011850141800711], [0.1727214951086409, 0.9795522750668243], [-0.6863881987629816, -1.1888592339731694], [-0.3454653155612433, 0.02495429864349069], [0.3189603735660367, -0.5524555726175246], [-1.9854719878596043, -0.7226527045502427], [0.3505862437778881, -0.4497930685917428], [-0.2564025307585899, -0.21514726899245398], [-0.016266115324971527, -0.013648891369870709], [4.653281621941262, 0.6485307480315576], [-0.6336962630147184, -0.23064657730308402], [0.14002543680954802, -0.24253117090616244], [0.06721572629704098, 0.2669753205393998], [1.377122334026246, 2.3852458507712964], [-0.11617580956104619, -0.6588657566429305], [0.21132186406183534, -0.652930749001549], [0.3887512350178718, -0.14149387808073027], [-1.058876633524251, 6.005187800924089], [-0.0024072085354459516, -0.06673723294967232], [1.4378449756678195, -1.2064951887729725], [-0.8518739025113341, 0.0], [2.83673673624562, 0.1885510746289157], [-0.7224624813890871, 0.0], [-0.07304748353080294, 0.06129411648912519], [1.2465892413848567, -0.7809462445377294], [-0.2782590129909453, 1.578085281520316], [0.06477080204361065, -0.023574643993422784], [0.15784438901960263, 0.17489984811606735], [-0.02280192242908167, -0.12931612812438414], [0.4768277650136929, 0.8258899154632297], [-0.1725675363249195, 1.6789343652321689], 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-0.1724664494129654, 0.020981067660549083, -0.4446692020894574, -0.09290267740207615, -0.4116274577956245, -0.3879313633409303, -0.4262017928712731, -0.2851394974612915, -0.26501513799005866, -0.10446125497653332, -0.01417422200473882, -0.32945185551691464, -0.2953116999780308, 0.07738913357070187, -0.2434175980873209, -0.38022915747385966, -0.11864567320512556, -0.40176387084696025, -0.2212352088057762, -0.4629308912639831, -0.24918145540989967, -0.4734915481409548, -0.27239491620781664, -0.3200277327561308, -0.30882174998602174, -0.30006938121646465, -0.08616774359111987, -0.40131346928853, -0.40214200674422945, -0.4008822756469827, -0.022520984635525414, -0.22182202134128853, -0.36780918128969603, -0.318492182150481, -0.2036408518793781, -0.08969820785584492, -0.49117540842848045, -0.07596885724817871, -0.378086618513629, 0.15717668590834594, 0.0014991775409415266, -0.24424322003378382, -0.37590266432378816, 0.037691748505861836, -0.08088275596494927, -0.11989864003498728, 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-0.11813334850987631, -0.31131763163218085, -0.3755005491053545, -0.32263091338479905, -0.3446129181358429, -0.03651351195976945, -0.4110326379983618, -0.25911774326563725, -0.15416847919746074, -0.4148265666596901, -0.04879303861317921, -0.4850230096451855, -0.20900133523048975, -0.4593639327786537, -0.1377228744301991, -0.07138616672061741, -0.020892775337128966, 0.20652757789268697, -0.44423587210476095, -0.13049916840759918, -0.4338331915954045, -0.2537661126692606, -0.36183409915980697, -0.1332161806118928, -0.029347748704316563, 0.28144801274460013], 'char_orbit_index': 22, 'conrey_index': 22, 'dual_conrey_index': 43, 'dual_embedding_index': 1, 'dual_embedding_m': 10, 'embedding_index': 1, 'embedding_m': 1, 'hecke_orbit': 2, 'hecke_orbit_code': 4505042769936573, 'label': '189.2.v.b.22.1', 'level': 189, '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': 756, 'analytic_conductor': 1.5091725982021993, 'char_conductor': 27, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 9, 'char_parity': 1, 'char_values': [189, 9, [29, 136], [7, 9]], 'conrey_index': 22, 'cusp_dim': 132, 'dim': 108, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 1443142566077, 'hecke_orbit_dims': [54, 54], 'label': '189.2.v', 'level': 189, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'mf_dim': 156, 'mf_new_dim': 108, 'num_forms': 2, 'prim_orbit_index': 5, 'relative_dim': 18, 'sturm_bound': 48, 'trace_bound': 3, 'trace_display': [0, 0, -6, 0], 'traces': [108, 0, 0, 0, -6, 0, 0, -18, -6, 0, -12, -36, 0, 0, -18, 0, 0, -30, 0, 6, 0, -18, -12, 72, -18, -36, 6, 0, 36, -48, -18, 42, -48, -18, -24, 48, 0, -24, -24, 0, -66, -30, -18, -12, 42, 0, -54, -78, 0, 144, 60, -54, 72, -36, 0, 0, 42, -54, 42, 126, 0, 0, 0, -54, 48, 6, 18, 6, 48, 0, -72, 30, 0, 12, -24, 108, 0, -120, 36, -180, -42, 0, -30, -24, 36, -24, -96, 108, 48, 6, 0, -42, 114, -54, -36, 144, -18, -6, -66, -54, 66, -132, -72, 18, -24, 0, 84, 138, 0, 192, 114, 0, -42, 126, -90, -84, 186, 0, -6, 0, -72, 228, -18, -126, 60, 0, 0, 90, 114, -36, -24, -138, 0, -24, -78, 0, -120, 96, 36, 60, -42, 72, 54, -12, 0, 48, 12, -72, 60, -6, 54, 192, -78, 0, -84, 168, -18, -102, -24, 252, 96, -204, -108, -312, -126, 252, -36, 132, -18, 78, -156, 0, 30, 108, 72, -144, -126, 0, -114, -18, 0, 84, -180, 108, -252, -210, 36, -72, 0, 0, -162, -180, -54, -222, 102, 0, 66, -300, 0, -150, -150, -126, -24, 150, 0, 30, 204, 0, 102, -48, -126, -342, 96, -108, -288, -156, 0, 210, -96, 0, 150, -354, -108, -84, 294, 54, 306, 336, 0, -54, -36, 90, -36, 156, 54, -390, 84, 0, 192, 42, 54, 396, -30, 0, -6, 120, 72, 84, 144, -126, 12, -36, 54, 150, -66, 72, 24, 150, 0, 84, -84, 54, 186, 156, -126, -66, 24, 0, 24, 336, 0, 306, -84, -54, 6, -42, -108, 270, 60, 0, -180, 24, -54, 30, 144, -252, -84, -222, -54, 12, -18, -144, 54, -18, 108, 324, 126, 0, 246, 150, 0, -36, -72, 162, -120, 402, 0, -96, 66, 72, 240, -498, 198, -144, -48, -108, 72, 168, 126, 690, 12, -36, -24, 306, 0, -102, 222, -162, 72, -24, 72, -126, -6, -108, -240, 168, 252, -204, -108, 108, 210, -150, 0, 12, 30, 288, 30, 96, -72, 120, 12, 0, -138, -90, 72, -300, 96, 18, -168, -690, -54, -192, -288, -72, -192, -330, 36, -252, -258, 0, 48, -48, -54, -378, -114, -108, -192, 30, -108, -522, -198, 180, -336, -42, -18, 72, -366, 0, -132, -792, 144, -18, 294, -54, 42, 84, 0, -222, -60, 144, 0, 294, 72, -648, -216, 0, 390, -312, 54, 270, -378, 360, -60, 354, 0, 378, 138, -18, -90, -132, -54, -108, 300, 0, -396, -96, 0, 366, 102, -18, 432, -378, -108, -108, 438, -306, 222, 324, -72, -84, -6, 0, 234, 0, -234, -174, 36, 0, 30, 372, 54, 54, -78, 162, -60, 204, 54, -192, 144, 216, -18, -60, -144, 384, 48, -252, 162, 222, 0, -288, 102, 360, -156, 396, 162, -120, -300, 162, 0, -234, 90, 372, -42, -198, 132, 54, 0, 660, 48, 0, -288, 216, 126, -348, 402, 162, 36, -396, 126, 402, -138, 216, 48, 120, 0, 438, 78, -198, 570, 246, -72, -384, 300, 216, -84, 582, 36, 240, -234, -54, -30, -192, 54, 246, 240, -36, 360, -156, -144, 438, -12, 0, -228, 174, -90, -510, 318, -270, 48, -336, 0, -516, -288, -396, 162, 264, 0, 42, -240, 0, -132, 24, -108, -150, 30, -198, -60, 30, 0, 240, -78, -234, -276, -210, -180, 360, 168, 0, -102, -300, -198, -564, 102, -90, 18, -432, 0, 168, -330, -396, 78, 138, -126, 60, 144, 0, -108, -24, -144, -708, -240, -414, -648, 24, 0, 402, -294, -342, 132, -1122, -36, -72, 108, 0, 24, 582, 216, 48, -36, -162, -108, 288, 0, -444, 306, 0, 48, -186, -216, 1104, -324, -324, -90, 438, 108, 60, 558, 468, 210, -180, 0, 12, 42, 180, 264, 120, 0, 282, 174, 0, 180, 42, 396, -180, -60, 18, 0, 486, -324, 300, -84, 18, 186, 150, 396, 612, 186, 0, 78, 648, -252, 6, 720, 216, -72, -228, 0, 540, -42, 126, 300, -192, 108, 48, -90, -216, 336, 348, 36, -336, 162, -414, 90, 996, 54, 0, -144, 54, -246, -66, 90, -30, 0, 0, 42, 234, 108, 492, -258, 216, -264, 66, 0, -696, 516, 162, 12, -330, 18, -144, -558, 162, -318, 84, -252, 222, -360, 18, 252, -150, 54, -96, 12, -306, -672, 486, 126, 216, -210, 432, -264, -492, 36, -372, 0, -468, -168, -384, 54, -84, -366, 144, -150, -498, -198, -396, -318, 162, 0, 60, 144, -558, -186, 234, -456, 114, 0, -600, -282, 216, -540, -618, 72, 120, -312, -108, -48, -942, 72, -48, 42, 720, 6, 78, 54, -192, -72, 234, -342, -6, 216, -996, -258, 108, 342, -450, 270, 582, -738, -288, -192, 654, -216, 228, 156, -180, -162, -180, 180, -300, 12, -216, -696, -582, 0, 414, -132, 378, 180, -696, 0, -252, 90, 468, 324, 648, -198, 24, -186, -216, 126, 396, 180, -318, 132, 0, 84, 270, -216, 396, 276, -558, -18, 126, 72, 444, 0, -108, 288, -300, 324, 474, 312, 468, 330, 240, 0, 60, 468, 378, -6, 366, -306, -132, -126, -108, 510, -354, -198, 576, -12, 540, 684, 510, -108, 840, 204, -90, -438, 888, -108, -396, 462, 0, 72, -426, -216, -90, -372, -216, 336, -12, 0, 390, 198, -198, 684, -36, -72, -444, 336, -432, -360, 684, -450, 216, -396, -540, 84, -846, 0, 24, 222, 468, 222, -90, 126, 438, 204, 0, -456, 66, 162, -438, 420, -180, 120, -414, -108, -258, -246, 18, 216, 264, 468, -318, -216, 162, -96, 150, -18, 150, -84, 720, -210, -612, 162, 360, -12, -270, 12, -228, -72, -648, 156, 324, -558, -198, 324, -816, 180, -126, -54, -510, 216, 42, -642, 306, 36, 378, -198, -618, -54, 0, 516, 132, 252, -342, -108, 342, -384, 108, 0, 180, -462, 468, 426, -600, 288, 0, 480, 0, -324, 594, -144, 228, -120, 126, -372, 30, 216, -828, 24, 0, 324, -348, 450, 804, -348, 432], '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: 37779494
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 22, 'source_dim': 54, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505042769936573, 'source_is_minimal': True, 'source_label': '189.2.v.b.22.1', 'source_level': 189, 'target_conrey_index': 22, 'target_dim': 54, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4505042769936573, 'target_is_minimal': True, 'target_label': '189.2.v.b.22.1', 'target_level': 189, 'twist_class_label': '189.2.v.b.22.1', 'twist_class_level': 189, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 37779495
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 22, 'source_dim': 54, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505042769936573, 'source_is_minimal': True, 'source_label': '189.2.v.b.22.1', 'source_level': 189, 'target_conrey_index': 442, 'target_dim': 54, 'target_embedding_index': 9, 'target_hecke_orbit_code': 1443142566455, 'target_is_minimal': False, 'target_label': '567.2.v.a.442.9', 'target_level': 567, 'twist_class_label': '189.2.v.b.22.1', 'twist_class_level': 189, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 37779496
    {'conductor': 27, 'degree': 6, 'order': 9, 'parity': 1, 'source_conrey_index': 22, 'source_dim': 54, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505042769936573, 'source_is_minimal': True, 'source_label': '189.2.v.b.22.1', 'source_level': 189, 'target_conrey_index': 1, 'target_dim': 27, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797782511, 'target_is_minimal': False, 'target_label': '5103.2.a.g.1.1', 'target_level': 5103, 'twist_class_label': '189.2.v.b.22.1', 'twist_class_level': 189, 'twisting_char_label': '27.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 37779497
    {'conductor': 27, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 22, 'source_dim': 54, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505042769936573, 'source_is_minimal': True, 'source_label': '189.2.v.b.22.1', 'source_level': 189, 'target_conrey_index': 127, 'target_dim': 54, 'target_embedding_index': 9, 'target_hecke_orbit_code': 1443142566455, 'target_is_minimal': False, 'target_label': '567.2.v.a.127.9', 'target_level': 567, 'twist_class_label': '189.2.v.b.22.1', 'twist_class_level': 189, 'twisting_char_label': '27.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 37779498
    {'conductor': 27, 'degree': 6, 'order': 9, 'parity': 1, 'source_conrey_index': 22, 'source_dim': 54, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505042769936573, 'source_is_minimal': True, 'source_label': '189.2.v.b.22.1', 'source_level': 189, 'target_conrey_index': 43, 'target_dim': 54, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4505042769936573, 'target_is_minimal': True, 'target_label': '189.2.v.b.43.1', 'target_level': 189, 'twist_class_label': '189.2.v.b.22.1', 'twist_class_level': 189, 'twisting_char_label': '27.16', 'twisting_conrey_index': 16, 'weight': 2}
  • id: 37779499
    {'conductor': 27, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 22, 'source_dim': 54, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505042769936573, 'source_is_minimal': True, 'source_label': '189.2.v.b.22.1', 'source_level': 189, 'target_conrey_index': 1, 'target_dim': 27, 'target_embedding_index': 27, 'target_hecke_orbit_code': 31525197425153007, 'target_is_minimal': False, 'target_label': '5103.2.a.h.1.27', 'target_level': 5103, 'twist_class_label': '189.2.v.b.22.1', 'twist_class_level': 189, 'twisting_char_label': '27.23', 'twisting_conrey_index': 23, 'weight': 2}
• hecke_orbit_code 4505042769936573 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': 2, 'label': '189.2.v.b', 'level': 189, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 24809515
    {'hecke_orbit_code': 4505042769936573, 'n': 1, 'trace_an': 54}
  • id: 24809516
    {'hecke_orbit_code': 4505042769936573, 'n': 2, 'trace_an': 0}
  • id: 24809517
    {'hecke_orbit_code': 4505042769936573, 'n': 3, 'trace_an': 3}
  • id: 24809518
    {'hecke_orbit_code': 4505042769936573, 'n': 4, 'trace_an': 0}
  • id: 24809519
    {'hecke_orbit_code': 4505042769936573, 'n': 5, 'trace_an': -3}
  • id: 24809520
    {'hecke_orbit_code': 4505042769936573, 'n': 6, 'trace_an': 0}
  • id: 24809521
    {'hecke_orbit_code': 4505042769936573, 'n': 7, 'trace_an': 0}
  • id: 24809522
    {'hecke_orbit_code': 4505042769936573, 'n': 8, 'trace_an': 9}
  • id: 24809523
    {'hecke_orbit_code': 4505042769936573, 'n': 9, 'trace_an': 3}
  • id: 24809524
    {'hecke_orbit_code': 4505042769936573, 'n': 10, 'trace_an': 0}
  • id: 24809525
    {'hecke_orbit_code': 4505042769936573, 'n': 11, 'trace_an': -6}
  • id: 24809526
    {'hecke_orbit_code': 4505042769936573, 'n': 12, 'trace_an': -60}
  • id: 24809527
    {'hecke_orbit_code': 4505042769936573, 'n': 13, 'trace_an': 9}
  • id: 24809528
    {'hecke_orbit_code': 4505042769936573, 'n': 14, 'trace_an': 0}
  • id: 24809529
    {'hecke_orbit_code': 4505042769936573, 'n': 15, 'trace_an': -9}
  • id: 24809530
    {'hecke_orbit_code': 4505042769936573, 'n': 16, 'trace_an': 0}
  • id: 24809531
    {'hecke_orbit_code': 4505042769936573, 'n': 17, 'trace_an': 30}
  • id: 24809532
    {'hecke_orbit_code': 4505042769936573, 'n': 18, 'trace_an': -3}
  • id: 24809533
    {'hecke_orbit_code': 4505042769936573, 'n': 19, 'trace_an': 0}
  • id: 24809534
    {'hecke_orbit_code': 4505042769936573, 'n': 20, 'trace_an': 18}
  • id: 24809535
    {'hecke_orbit_code': 4505042769936573, 'n': 21, 'trace_an': 3}
  • id: 24809536
    {'hecke_orbit_code': 4505042769936573, 'n': 22, 'trace_an': -9}
  • id: 24809537
    {'hecke_orbit_code': 4505042769936573, 'n': 23, 'trace_an': 0}
  • id: 24809538
    {'hecke_orbit_code': 4505042769936573, 'n': 24, 'trace_an': 36}
  • id: 24809539
    {'hecke_orbit_code': 4505042769936573, 'n': 25, 'trace_an': -45}
  • id: 24809540
    {'hecke_orbit_code': 4505042769936573, 'n': 26, 'trace_an': -54}
  • id: 24809541
    {'hecke_orbit_code': 4505042769936573, 'n': 27, 'trace_an': -57}
  • id: 24809542
    {'hecke_orbit_code': 4505042769936573, 'n': 28, 'trace_an': -54}
  • id: 24809543
    {'hecke_orbit_code': 4505042769936573, 'n': 29, 'trace_an': 30}
  • id: 24809544
    {'hecke_orbit_code': 4505042769936573, 'n': 30, 'trace_an': 24}
  • id: 24809545
    {'hecke_orbit_code': 4505042769936573, 'n': 31, 'trace_an': -9}
  • id: 24809546
    {'hecke_orbit_code': 4505042769936573, 'n': 32, 'trace_an': 51}
  • id: 24809547
    {'hecke_orbit_code': 4505042769936573, 'n': 33, 'trace_an': -12}
  • id: 24809548
    {'hecke_orbit_code': 4505042769936573, 'n': 34, 'trace_an': -9}
  • id: 24809549
    {'hecke_orbit_code': 4505042769936573, 'n': 35, 'trace_an': -12}
  • id: 24809550
    {'hecke_orbit_code': 4505042769936573, 'n': 36, 'trace_an': 48}
  • id: 24809551
    {'hecke_orbit_code': 4505042769936573, 'n': 37, 'trace_an': 0}
  • id: 24809552
    {'hecke_orbit_code': 4505042769936573, 'n': 38, 'trace_an': -78}
  • id: 24809553
    {'hecke_orbit_code': 4505042769936573, 'n': 39, 'trace_an': -36}
  • id: 24809554
    {'hecke_orbit_code': 4505042769936573, 'n': 40, 'trace_an': 45}
  • id: 24809555
    {'hecke_orbit_code': 4505042769936573, 'n': 41, 'trace_an': -51}
  • id: 24809556
    {'hecke_orbit_code': 4505042769936573, 'n': 42, 'trace_an': -12}
  • id: 24809557
    {'hecke_orbit_code': 4505042769936573, 'n': 43, 'trace_an': -9}
  • id: 24809558
    {'hecke_orbit_code': 4505042769936573, 'n': 44, 'trace_an': 30}
  • id: 24809559
    {'hecke_orbit_code': 4505042769936573, 'n': 45, 'trace_an': 51}
  • id: 24809560
    {'hecke_orbit_code': 4505042769936573, 'n': 46, 'trace_an': 0}
  • id: 24809561
    {'hecke_orbit_code': 4505042769936573, 'n': 47, 'trace_an': -9}
  • id: 24809562
    {'hecke_orbit_code': 4505042769936573, 'n': 48, 'trace_an': 15}
  • id: 24809563
    {'hecke_orbit_code': 4505042769936573, 'n': 49, 'trace_an': 0}
  • id: 24809564
    {'hecke_orbit_code': 4505042769936573, 'n': 50, 'trace_an': 126}
  • id: 24809565
    {'hecke_orbit_code': 4505042769936573, 'n': 51, 'trace_an': -12}
  • id: 24809566
    {'hecke_orbit_code': 4505042769936573, 'n': 52, 'trace_an': 9}
  • id: 24809567
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  • id: 24809568
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  • id: 24809569
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  • id: 24809570
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  • id: 24809571
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  • id: 24809572
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  • id: 24809573
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  • id: 24809574
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  • id: 24809575
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  • id: 24809576
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  • id: 24809577
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  • id: 24809578
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  • id: 24809579
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  • id: 24809580
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  • id: 24809581
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  • id: 24809582
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  • id: 24809583
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  • id: 24809584
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  • id: 24809585
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  • id: 24809586
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  • id: 24809587
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  • id: 24809588
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  • id: 24809589
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  • id: 24809590
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  • id: 24809591
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  • id: 24809592
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  • id: 24809593
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  • id: 24809594
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  • id: 24809595
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  • id: 24809596
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  • id: 24809597
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  • id: 24809598
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  • id: 24809599
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  • id: 24809600
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  • id: 24809601
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  • id: 24809602
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  • id: 24809603
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  • id: 24809604
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  • id: 24809605
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  • id: 24809606
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  • id: 24809607
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  • id: 24809608
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  • id: 24809609
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  • id: 24809610
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  • id: 24809611
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  • id: 24809612
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  • id: 24809613
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  • id: 24809614
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  • id: 24809615
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  • id: 24809616
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  • id: 24809617
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  • id: 24809618
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  • id: 24809619
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  • id: 24809620
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  • id: 24809621
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  • id: 24809622
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  • id: 24809623
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  • id: 24809624
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  • id: 24809625
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  • id: 24809626
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  • id: 24809627
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  • id: 24809628
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  • id: 24809629
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  • id: 24809630
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  • id: 24809631
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  • id: 24809632
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  • id: 24809633
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  • id: 24809634
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  • id: 24809635
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  • id: 24809636
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  • id: 24809637
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  • id: 24809638
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  • id: 24809639
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  • id: 24809640
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  • id: 24809641
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  • id: 24809642
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  • id: 24809643
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  • id: 24809644
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  • id: 24809645
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  • id: 24809646
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  • id: 24809647
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  • id: 24809648
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  • id: 24809649
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  • id: 24809650
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  • id: 24809651
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  • id: 24809652
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  • id: 24809653
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  • id: 24809654
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  • id: 24809655
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  • id: 24809656
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  • id: 24809657
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  • id: 24809658
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  • id: 24809659
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  • id: 24809660
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  • id: 24809661
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  • id: 24809662
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  • id: 24809663
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  • id: 24809664
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  • id: 24809665
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  • id: 24809666
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  • id: 24809667
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  • id: 24809668
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  • id: 24809669
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  • id: 24809670
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  • id: 24809671
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  • id: 24809672
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  • id: 24809673
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  • id: 24809674
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  • id: 24809675
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  • id: 24809676
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  • id: 24809677
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  • id: 24809678
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  • id: 24809679
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  • id: 24809680
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  • id: 24809681
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  • id: 24809682
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  • id: 24809683
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  • id: 24809684
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  • id: 24809685
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  • id: 24809686
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  • id: 24809687
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  • id: 24809688
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  • id: 24809689
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  • id: 24809690
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  • id: 24809691
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  • id: 24809692
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  • id: 24809693
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  • id: 24809694
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  • id: 24809695
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  • id: 24809696
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  • id: 24809697
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  • id: 24809698
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  • id: 24809699
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  • id: 24809700
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  • id: 24809701
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  • id: 24809702
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  • id: 24809703
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  • id: 24809704
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  • id: 24809705
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  • id: 24809706
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  • id: 24809707
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  • id: 24809708
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  • id: 24809709
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  • id: 24809710
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  • id: 24809711
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  • id: 24809712
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  • id: 24809713
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  • id: 24809714
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  • id: 24809715
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  • id: 24809716
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  • id: 24809717
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  • id: 24809718
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  • id: 24809719
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  • id: 24809720
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  • id: 24809721
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  • id: 24809722
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  • id: 24809723
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  • id: 24809724
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  • id: 24809725
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  • id: 24809726
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  • id: 24809727
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  • id: 24809728
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  • id: 24809729
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  • id: 24809730
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  • id: 24809731
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  • id: 24809732
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  • id: 24809733
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  • id: 24809734
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  • id: 24809735
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  • id: 24809736
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  • id: 24809737
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  • id: 24809738
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  • id: 24809739
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  • id: 24809740
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  • id: 24809741
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  • id: 24809742
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  • id: 24809743
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  • id: 24809744
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  • id: 24809745
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  • id: 24809746
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  • id: 24809747
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  • id: 24809748
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  • id: 24809749
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  • id: 24809750
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  • id: 24809751
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  • id: 24809752
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  • id: 24809753
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  • id: 24809754
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  • id: 24809755
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  • id: 24809756
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  • id: 24809757
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  • id: 24809758
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  • id: 24809759
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  • id: 24809760
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  • id: 24809761
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  • id: 24809762
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  • id: 24809763
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  • id: 24809764
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  • id: 24809765
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  • id: 24809766
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  • id: 24809767
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  • id: 24809769
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  • id: 24809770
    {'hecke_orbit_code': 4505042769936573, 'n': 983, 'trace_an': 60}
  • id: 24809771
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  • id: 24809772
    {'hecke_orbit_code': 4505042769936573, 'n': 997, 'trace_an': -63}