Embedded newform data - 1521.4.a.bi.1.8

Formats: - HTML - YAML - JSON - 2024-04-25T08:05:34.791127

• mf_newforms •

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

  
  {'Nk2': 24336, 'analytic_conductor': 89.74190511873148, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [13, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1521, 1, [677, 847], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 9, 'field_disc': 828737467989778249, 'field_disc_factorization': [[7, 6], [1723, 1], [32537, 1], [125651, 1]], 'field_poly': [27, 63, -2478, -4139, 763, 945, -27, -56, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-1016, -2288, 11386, -1401, -3075, 452, 251, -40, -6, 1]], [5, [48900601, -29476244, -2833568, 3228609, -239411, -66645, 8831, -8, -33, 1]], [7, [-27017466139, -3494223732, 748796618, 94405947, -4484863, -809119, -9589, 1920, 83, 1]]], 'hecke_orbit': 35, 'hecke_orbit_code': 153122387397707249, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 169, 'hecke_ring_index_factorization': [[13, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1521.4.a.bi', 'level': 1521, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 13], 'level_radical': 39, 'minimal_twist': '507.4.a.o', 'prim_orbit_index': 1, 'qexp_display': 'q+(1+\\beta _{3})q^{2}+(5+\\beta _{3}+\\beta _{5})q^{4}+(3+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 9, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1521.4.a', 'trace_display': [6, 0, 33, -83], 'trace_hash': 1139695281874248406, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '8.107', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '179.858', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6014.785', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [9, 6, 0, 44, 33, 0, -83, 87, 0, -54, 85, 0, 0, -158, 0, 216, -178, 0, -352, 402, 0, -630, -150, 0, -20, 0, 0, -940, 97, 0, -717, 707, 0, -632, 418, 0, -1108, 660, 0, -1506, 334, 0, 242, -307, 0, -979, -184, 0, -38, -2031, 0, 0, 151, 0, 2064, -2276, 0, -1161, 537, 0, -1340, -347, 0, 893, 0, 0, -2308, -2785, 0, 1420, 96, 0, -2505, 1191, 0, -2409, 2142, 0, -1591, -2671, 0, 1517, 1539, 0, -4296, -3763, 0, -3716, -592, 0, 0, -515, 0, -692, -4158, 0, -1445, 1457, 0, 676, 2039, 0, 355, 0, 0, -288, -3067, 0, -6254, -1619, 0, -8515, 5622, 0, -2970, 5098, 0, 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• 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

  
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-0.2860983563577603, -0.3307231693320236, -0.3586067913599719, -0.17101324933446024, -0.2657751351301505], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 8, 'dual_embedding_m': 8, 'embedding_index': 8, 'embedding_m': 8, 'embedding_root_imag': 0.0, 'embedding_root_real': -4.143242849870237, 'hecke_orbit': 35, 'hecke_orbit_code': 153122387397707249, 'label': '1521.4.a.bi.1.8', 'level': 1521, 'weight': 4}
• mf_newspaces •

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

  
  {'AL_dims': [[[[3, -1], [13, -1]], 57, 12], [[[3, -1], [13, 1]], 54, 18], [[[3, 1], [13, -1]], 36, 4], [[[3, 1], [13, 1]], 41, 6]], 'ALdims': [41, 36, 54, 57], 'Nk2': 24336, 'analytic_conductor': 89.74190511873148, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1521, 1, [677, 847], [1, 1]], 'conrey_index': 1, 'cusp_dim': 518, 'dim': 188, 'eis_dim': 56, 'eis_new_dim': 11, 'hecke_cutter_primes': [2, 5, 7], 'hecke_orbit_code': 67110385, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 4, 4, 4, 4, 4, 4, 4, 8, 8, 9, 9, 9, 9, 9, 9, 10, 12, 18, 18], 'label': '1521.4.a', 'level': 1521, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 13], 'level_radical': 39, 'mf_dim': 574, 'mf_new_dim': 199, 'num_forms': 40, 'plus_dim': 98, 'prim_orbit_index': 1, 'relative_dim': 188, 'sturm_bound': 728, 'trace_bound': 17, 'trace_display': [0, 0, 6, -22], 'traces': [188, 0, 0, 718, 6, 0, -22, 0, 0, 90, -42, 0, 0, -86, 0, 2658, 34, 0, 106, -192, 0, -64, -80, 0, 3958, 0, 0, -728, 356, 0, 422, -180, 0, 184, 388, 0, -188, 1146, 0, 1502, 402, 0, 6, -600, 0, 1996, 282, 0, 8648, -144, 0, 0, -980, 0, -404, -784, 0, 1172, -1734, 0, -1906, -638, 0, 6636, 0, 0, -1298, 3120, 0, 3388, -1098, 0, 680, 3364, 0, 2112, 2852, 0, 624, -1392, 0, -498, -1422, 0, 712, 5004, 0, -768, -534, 0, 0, -2052, 0, -5110, -3852, 0, -428, -5424, 0, 9524, 1124, 0, -2288, 0, 0, 3788, 590, 0, -2880, -6156, 0, -11568, 7470, 0, -2820, 4724, 0, -282, -6084, 0, 20034, 1848, 0, 5840, 9552, 0, -10860, -2784, 0, 0, -578, 0, -3392, -8822, 0, 9368, -5226, 0, -10094, 2766, 0, 642, 0, 0, 7136, 4270, 0, -7460, -1830, 0, -6630, 17274, 0, 1940, 8340, 0, -2578, -11244, 0, 24678, 2316, 0, 6210, 22428, 0, 2492, -1278, 0, 0, 8562, 0, -3500, 798, 0, -66, -14592, 0, -7488, 5226, 0, 3030, 0, 0, 26796, 12942, 0, 7344, 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-933192, -200922, 0, -1199820, 357754, 0, 286142, 0, 0, 309136, -253374, 0, 225256, 55686, 0, -577590, 558094, 0, 1319208, -943992, 0, 947592, -623688, 0, -807420, -162858, 0, -1278758, 2208, 0, 948486, 634146, 0, 0, 963658, 0, -348344, 334102, 0, 217814, 181308, 0, 831694, -814942, 0, 280484, 0, 0, 1585244, 662012, 0, -753030, -579576, 0, 1006012, 147684, 0, -12432, -358638, 0, 234024, 219126, 0, 171452, 594456, 0, -1006736, 188394, 0, -1331302, 204876, 0, 0, 716154, 0, -62430, 1516648, 0, -728220, -403158, 0, 1642322, 1550076, 0, 603790, 0, 0, -124098, 1423432, 0, 1644464, -629268, 0, -250636, 955532, 0, -957128, 1461052, 0, -1964938, -129648, 0, 1631014, -182904, 0, 418100, 110376, 0, 1193376, -590634, 0, 0, 912802, 0, 698702, -83936, 0, 170380, 169116, 0, -844778, 846536, 0, 352792, 0, 0, 449932, 451752, 0, 703848, 865656, 0, 24736, -656212, 0, -4870, 2221492, 0, 427290, -311880, 0, 258780, 614160, 0, -1048964, 939534, 0, 213312, 186816, 0, 0, -1000140, 0, 304570, 109624, 0, -535576, -249090, 0, -1376264, -3084124, 0, -149310, 0, 0, -739760, 211648, 0, -1398088, -269814, 0, -172150, 1437016, 0, 347920, -1009836, 0, -242646, -320544, 0, 15904, 435468, 0, -190344, 657120, 0, -1297182, 793554, 0, 0, -316182, 0, -2709574, 1102444, 0, 280104, -499440, 0, 567960, 266400, 0, -259376, 0, 0, -112416, 768884, 0, -771516, 342060, 0, -561992, 830906, 0, 477592, -1580742, 0, -160160, -195972, 0, 606606, -1274256, 0, 2078900, 161256, 0, 666200, -361968, 0, 0, -352836, 0, 1036304, 1250726, 0, -31696, 213708, 0, 24916, 457704, 0, -242102, 0, 0, 1516836, 413372, 0, -333124, -1404162, 0, -369748, -386440, 0, 443364, -341530, 0, 279784, -999024, 0, 2130122, -177198, 0, -565560, 139200, 0, -845652, -607362, 0, 0, 1184410, 0, -478498, 649360, 0, 177828, -584616, 0, 1399628, -2357456, 0, 1155236, 0, 0, 1249800, 848472, 0, -820656, -69336, 0, -1838112, 288116, 0, -463964, 919808, 0, -693442, -134874, 0, 735306, -278544, 0, -1674108, 1053276, 0, -1949936, -565140, 0, 0, 1812500, 0, -365320, -1941322, 0, 2505772, -430920, 0, -2029168, 458298, 0, -666912, 0, 0, -209160, -2052492, 0, 863712, 77010, 0, 56252, 1904206, 0, -732024, 204822, 0, -1337494, -523212, 0, 1069730, 1103730, 0, 1055382, 623820, 0, 1508086, 756684, 0, 0, 29244, 0, 1757864, 113656, 0, 362612, -946824, 0, 783558, 190604, 0, 541666, 0, 0, -245116, 1456322, 0, 1737880, -264528, 0, -235680, -356104, 0], 'weight': 4, '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: 48842273
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 9, 'source_embedding_index': 8, 'source_hecke_orbit_code': 153122387397707249, 'source_is_minimal': False, 'source_label': '1521.4.a.bi.1.8', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 9, 'target_embedding_index': 8, 'target_hecke_orbit_code': 153122387397707249, 'target_is_minimal': False, 'target_label': '1521.4.a.bi.1.8', 'target_level': 1521, 'twist_class_label': '507.4.a.o.1.2', 'twist_class_level': 507, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48842274
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 9, 'source_embedding_index': 8, 'source_hecke_orbit_code': 153122387397707249, 'source_is_minimal': False, 'source_label': '1521.4.a.bi.1.8', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 9, 'target_embedding_index': 2, 'target_hecke_orbit_code': 63050394850296315, 'target_is_minimal': True, 'target_label': '507.4.a.o.1.2', 'target_level': 507, 'twist_class_label': '507.4.a.o.1.2', 'twist_class_level': 507, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48842275
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 9, 'source_embedding_index': 8, 'source_hecke_orbit_code': 153122387397707249, 'source_is_minimal': False, 'source_label': '1521.4.a.bi.1.8', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 9, 'target_embedding_index': 2, 'target_hecke_orbit_code': 139611588515595761, 'target_is_minimal': False, 'target_label': '1521.4.a.bf.1.2', 'target_level': 1521, 'twist_class_label': '507.4.a.o.1.2', 'twist_class_level': 507, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 4}
  • id: 48842276
    {'conductor': 39, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 9, 'source_embedding_index': 8, 'source_hecke_orbit_code': 153122387397707249, 'source_is_minimal': False, 'source_label': '1521.4.a.bi.1.8', 'source_level': 1521, 'target_conrey_index': 337, 'target_dim': 18, 'target_embedding_index': 16, 'target_hecke_orbit_code': 45036065060291067, 'target_is_minimal': False, 'target_label': '507.4.b.k.337.16', 'target_level': 507, 'twist_class_label': '507.4.a.o.1.2', 'twist_class_level': 507, 'twisting_char_label': '39.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48842277
    {'conductor': 39, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 9, 'source_embedding_index': 8, 'source_hecke_orbit_code': 153122387397707249, 'source_is_minimal': False, 'source_label': '1521.4.a.bi.1.8', 'source_level': 1521, 'target_conrey_index': 337, 'target_dim': 18, 'target_embedding_index': 3, 'target_hecke_orbit_code': 45036065060291067, 'target_is_minimal': False, 'target_label': '507.4.b.k.337.3', 'target_level': 507, 'twist_class_label': '507.4.a.o.1.2', 'twist_class_level': 507, 'twisting_char_label': '39.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 48842278
    {'conductor': 39, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 9, 'source_embedding_index': 8, 'source_hecke_orbit_code': 153122387397707249, 'source_is_minimal': False, 'source_label': '1521.4.a.bi.1.8', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 9, 'target_embedding_index': 8, 'target_hecke_orbit_code': 67553994477666811, 'target_is_minimal': True, 'target_label': '507.4.a.p.1.8', 'target_level': 507, 'twist_class_label': '507.4.a.o.1.2', 'twist_class_level': 507, 'twisting_char_label': '39.38', 'twisting_conrey_index': 38, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2011000
    {'charpoly_factorization': [[[-1016, -2288, 11386, -1401, -3075, 452, 251, -40, -6, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 2}
  • id: 2011001
    {'charpoly_factorization': [[[0, 1], 9]], 'hecke_orbit_code': 153122387397707249, 'p': 3}
  • id: 2011002
    {'charpoly_factorization': [[[48900601, -29476244, -2833568, 3228609, -239411, -66645, 8831, -8, -33, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 5}
  • id: 2011003
    {'charpoly_factorization': [[[-27017466139, -3494223732, 748796618, 94405947, -4484863, -809119, -9589, 1920, 83, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 7}
  • id: 2011004
    {'charpoly_factorization': [[[1288234570811, -127383922354, -28121620877, 4254205175, -133178063, -4247216, 261162, -1387, -85, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 11}
  • id: 2011005
    {'charpoly_factorization': [[[0, 1], 9]], 'hecke_orbit_code': 153122387397707249, 'p': 13}
  • id: 2011006
    {'charpoly_factorization': [[[25756262973289976, -212396802809420, -31651643960120, 126877425387, 13907909404, -809436, -2628072, -8459, 178, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 17}
  • id: 2011007
    {'charpoly_factorization': [[[1740540294771776, 200375542853440, -7421235604156, -1664337486251, -66762188722, -1066099464, -5883900, 21873, 352, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 19}
  • id: 2011008
    {'charpoly_factorization': [[[-6037363115529544, -1222043448340100, -49417595215480, 1815484085547, 71369114898, 352846541, -6495206, -46324, 150, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 23}
  • id: 2011009
    {'charpoly_factorization': [[[-341090943795257756227, 3226629057092590410, 31373508388799302, -307187944479835, -1083122907689, 10909958151, 16679703, -171176, -97, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 29}
  • id: 2011010
    {'charpoly_factorization': [[[4063215688238075753, 185843000602046006, 123327025010272, -101426452219349, -1913199107461, -14241264441, -34383787, 110096, 717, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 31}
  • id: 2011011
    {'charpoly_factorization': [[[801511625513246090456, -21306379052290019740, 20565914729145864, 1810576847525865, 360425506006, -53329057263, -128913142, 236818, 1108, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 37}
  • id: 2011012
    {'charpoly_factorization': [[[369799769193925848968, 1418383253512296144, -131652530939960970, -1494784091699317, -1485548556674, 34578212066, 64180108, -306255, -334, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 41}
  • id: 2011013
    {'charpoly_factorization': [[[314178101411050692488, 9390157235905797684, -20395180435710436, -1053420612696787, -720774024970, 31940491027, 33684856, -321877, -242, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 43}
  • id: 2011014
    {'charpoly_factorization': [[[3862724469008585179712, -6453959504981291264, -830726920659719460, -2149601596359281, 20073709722674, 64023674898, -135590218, -505119, 184, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 47}
  • id: 2011015
    {'charpoly_factorization': [[[-657859087584501279751, 20541659354232108030, 207920584227255445, -1653353703713149, -11518953526025, 43677665328, 157883298, -548123, -151, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 53}
  • id: 2011016
    {'charpoly_factorization': [[[-14610587688990561018176, -79326292126613189696, 1124815596061470208, 2851335462518400, -34631984873652, 7277679176, 331083335, -470392, -537, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 59}
  • id: 2011017
    {'charpoly_factorization': [[[-61534820053891462764968, -1367544554560915747400, -3985526354001892174, 34391877807721221, 146934801318364, -115284968710, -859996768, -278155, 1340, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 61}
  • id: 2011018
    {'charpoly_factorization': [[[-813378252373800684832792, -4348008665980395455344, 19843582295929929130, 132210141241755653, -32623749475110, -1051799297262, -1267022718, 951703, 2308, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 67}
  • id: 2011019
    {'charpoly_factorization': [[[-7193694021127862112712, 271462464809011157728, -1717727626366727646, -10516549813994281, 57358860008106, 250849607163, -125200370, -1006522, -96, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 71}
  • id: 2011020
    {'charpoly_factorization': [[[-193744070349016053077, -6084754342301005056, 161143512929914968, 3669002915654495, -37396786131711, -387465742173, -203085985, 1647252, 2505, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 73}
  • id: 2011021
    {'charpoly_factorization': [[[1132420093444920384409383, 23321817258040457474058, 165373974465607122735, 465175949461881079, 169401207621465, -1693291331252, -3045293026, -915395, 1591, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 79}
  • id: 2011022
    {'charpoly_factorization': [[[-20105969480808001456089997, -70759375925201618294390, 500357415624697386834, 172205760113564837, -2384917559233739, 841077182423, 3446171653, -1955040, -1539, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 83}
  • id: 2011023
    {'charpoly_factorization': [[[555848285867129824192637672, 646495600966640021977528, -2899913555134191619786, -3689047950757976377, 4579024504059454, 6295887073976, -2819818756, -4246125, 592, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 89}
  • id: 2011024
    {'charpoly_factorization': [[[-31541662973821289949561439, 260570660782066820744344, -382108131269809460094, -1362228835421728275, 2617840856001230, 2817360990927, -4232206614, -3305493, 1445, 1], 1]], 'hecke_orbit_code': 153122387397707249, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 35, 'label': '1521.4.a.bi', 'level': 1521, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 270037000
    {'hecke_orbit_code': 153122387397707249, 'n': 1, 'trace_an': 9}
  • id: 270037001
    {'hecke_orbit_code': 153122387397707249, 'n': 2, 'trace_an': 6}
  • id: 270037002
    {'hecke_orbit_code': 153122387397707249, 'n': 3, 'trace_an': 0}
  • id: 270037003
    {'hecke_orbit_code': 153122387397707249, 'n': 4, 'trace_an': 44}
  • id: 270037004
    {'hecke_orbit_code': 153122387397707249, 'n': 5, 'trace_an': 33}
  • id: 270037005
    {'hecke_orbit_code': 153122387397707249, 'n': 6, 'trace_an': 0}
  • id: 270037006
    {'hecke_orbit_code': 153122387397707249, 'n': 7, 'trace_an': -83}
  • id: 270037007
    {'hecke_orbit_code': 153122387397707249, 'n': 8, 'trace_an': 87}
  • id: 270037008
    {'hecke_orbit_code': 153122387397707249, 'n': 9, 'trace_an': 0}
  • id: 270037009
    {'hecke_orbit_code': 153122387397707249, 'n': 10, 'trace_an': -54}
  • id: 270037010
    {'hecke_orbit_code': 153122387397707249, 'n': 11, 'trace_an': 85}
  • id: 270037011
    {'hecke_orbit_code': 153122387397707249, 'n': 12, 'trace_an': 0}
  • id: 270037012
    {'hecke_orbit_code': 153122387397707249, 'n': 13, 'trace_an': 0}
  • id: 270037013
    {'hecke_orbit_code': 153122387397707249, 'n': 14, 'trace_an': -158}
  • id: 270037014
    {'hecke_orbit_code': 153122387397707249, 'n': 15, 'trace_an': 0}
  • id: 270037015
    {'hecke_orbit_code': 153122387397707249, 'n': 16, 'trace_an': 216}
  • id: 270037016
    {'hecke_orbit_code': 153122387397707249, 'n': 17, 'trace_an': -178}
  • id: 270037017
    {'hecke_orbit_code': 153122387397707249, 'n': 18, 'trace_an': 0}
  • id: 270037018
    {'hecke_orbit_code': 153122387397707249, 'n': 19, 'trace_an': -352}
  • id: 270037019
    {'hecke_orbit_code': 153122387397707249, 'n': 20, 'trace_an': 402}
  • id: 270037020
    {'hecke_orbit_code': 153122387397707249, 'n': 21, 'trace_an': 0}
  • id: 270037021
    {'hecke_orbit_code': 153122387397707249, 'n': 22, 'trace_an': -630}
  • id: 270037022
    {'hecke_orbit_code': 153122387397707249, 'n': 23, 'trace_an': -150}
  • id: 270037023
    {'hecke_orbit_code': 153122387397707249, 'n': 24, 'trace_an': 0}
  • id: 270037024
    {'hecke_orbit_code': 153122387397707249, 'n': 25, 'trace_an': -20}
  • id: 270037025
    {'hecke_orbit_code': 153122387397707249, 'n': 26, 'trace_an': 0}
  • id: 270037026
    {'hecke_orbit_code': 153122387397707249, 'n': 27, 'trace_an': 0}
  • id: 270037027
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  • id: 270037028
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  • id: 270037030
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  • id: 270037031
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  • id: 270037032
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  • id: 270037033
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  • id: 270037034
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  • id: 270037035
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  • id: 270037036
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  • id: 270037037
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  • id: 270037038
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  • id: 270037039
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  • id: 270037040
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  • id: 270037041
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  • id: 270037042
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  • id: 270037043
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  • id: 270037044
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  • id: 270037045
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  • id: 270037046
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  • id: 270037047
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  • id: 270037048
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  • id: 270037049
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  • id: 270037050
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  • id: 270037051
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  • id: 270037052
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  • id: 270037053
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  • id: 270037054
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  • id: 270037055
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  • id: 270037056
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  • id: 270037057
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  • id: 270037058
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  • id: 270037059
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  • id: 270037060
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  • id: 270037061
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  • id: 270037062
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  • id: 270037063
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  • id: 270037064
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  • id: 270037066
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  • id: 270037067
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  • id: 270037068
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  • id: 270037069
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  • id: 270037070
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  • id: 270037071
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  • id: 270037072
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  • id: 270037073
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  • id: 270037074
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  • id: 270037075
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  • id: 270037076
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  • id: 270037077
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  • id: 270037078
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  • id: 270037079
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  • id: 270037080
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  • id: 270037081
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  • id: 270037082
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  • id: 270037083
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  • id: 270037084
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  • id: 270037087
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  • id: 270037089
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  • id: 270037090
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  • id: 270037091
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  • id: 270037092
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  • id: 270037093
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  • id: 270037094
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  • id: 270037095
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  • id: 270037096
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  • id: 270037097
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  • id: 270037098
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  • id: 270037099
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  • id: 270037100
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  • id: 270037101
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  • id: 270037102
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  • id: 270037104
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  • id: 270037106
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  • id: 270037107
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  • id: 270037108
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  • id: 270037109
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  • id: 270037110
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  • id: 270037113
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  • id: 270037116
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  • id: 270037117
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  • id: 270037118
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  • id: 270037119
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  • id: 270037120
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  • id: 270037121
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  • id: 270037122
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  • id: 270037123
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  • id: 270037125
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  • id: 270037126
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  • id: 270037127
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  • id: 270037128
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  • id: 270037129
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  • id: 270037130
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  • id: 270037131
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  • id: 270037132
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  • id: 270037133
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  • id: 270037134
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  • id: 270037135
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  • id: 270037136
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  • id: 270037137
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  • id: 270037138
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  • id: 270037139
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  • id: 270037140
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  • id: 270037141
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  • id: 270037142
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  • id: 270037143
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  • id: 270037144
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  • id: 270037145
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  • id: 270037146
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  • id: 270037147
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  • id: 270037148
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  • id: 270037149
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  • id: 270037150
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  • id: 270037151
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  • id: 270037152
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  • id: 270037153
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  • id: 270037154
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  • id: 270037155
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  • id: 270037156
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  • id: 270037157
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  • id: 270037158
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  • id: 270037159
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  • id: 270037160
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  • id: 270037161
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  • id: 270037162
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  • id: 270037163
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  • id: 270037164
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  • id: 270037165
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  • id: 270037166
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  • id: 270037167
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  • id: 270037168
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  • id: 270037169
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  • id: 270037170
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  • id: 270037171
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  • id: 270037172
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  • id: 270037173
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  • id: 270037174
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  • id: 270037175
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  • id: 270037176
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  • id: 270037177
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  • id: 270037179
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  • id: 270037181
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  • id: 270037212
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  • id: 270037225
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  • id: 270037226
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  • id: 270037231
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  • id: 270037233
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  • id: 270037234
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  • id: 270037240
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  • id: 270037242
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  • id: 270037249
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  • id: 270037301
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  • id: 270037302
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  • id: 270037312
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  • id: 270037317
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  • id: 270037318
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  • id: 270037319
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  • id: 270037320
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  • id: 270037323
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  • id: 270037325
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  • id: 270037326
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  • id: 270037328
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  • id: 270037329
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  • id: 270037330
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  • id: 270037331
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  • id: 270037332
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  • id: 270037333
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