Embedded newform data - 9025.2.a.p.1.1

Formats: - HTML - YAML - JSON - 2025-07-17T11:51:37.118280

• 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': 36100, 'analytic_conductor': 72.06498782420555, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[5, -1], [19, 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': [9025, 1, [5777, 3251], [1, 1]], 'cm_discs': [-19], 'conrey_index': 1, 'dim': 2, 'field_disc': 76, 'field_disc_factorization': [[2, 2], [19, 1]], 'field_poly': [-19, 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': 1, 'hecke_cutters': [[2, [0, 1]], [3, [0, 1]], [7, [-19, 0, 1]], [11, [-5, 1]], [29, [0, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444120897, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 19, 2, -1, 2, -19], [1, 1, 5, 2, 1, 2, 0], [1, 1, 95, 4, -1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '9025.2.a.p', 'level': 9025, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [5, 19], 'level_radical': 95, 'minimal_twist': '1805.2.b.d', 'nf_label': '2.2.76.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2q^{4}-\\beta q^{7}-3q^{9}+5q^{11}+4q^{16}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.1.d1', 'self_twist_discs': [-19], 'self_twist_type': 1, 'space_label': '9025.2.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1613428340000424801, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.875', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.191', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '292.176', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.762', 'prec': 17}, 'traces': [2, 0, 0, -4, 0, 0, 0, 0, -6, 0, 10, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, -24, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, -26, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -34, 0, 0, 0, 0, -48, 0, 0, 50, 0, 0, 0, 0, 0, 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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-0.35942853151300314, -0.25, -0.36948208266138344, -0.25, -0.46093383492874995, -0.25, -0.25, -0.25, -0.05485144827673803, -0.3479292277800046, -0.1427953987183885, -0.29612974744880055, -0.25, -0.25, -0.36640402550749995, -0.25, -0.03822200127511007, -0.25, -0.22728494133809707, -0.1483782890329672, -0.25, -0.47754708318974, -0.25, -0.25, -0.18869022353677037, -0.25, -0.25, -0.25, -0.25, -0.19743473260002536, -0.1707844992939091, -0.25, -0.07618207033823043, -0.10701963354285964, -0.20756739206836636, -0.08215277937999628, -0.25, -0.25, -0.46336327607949884, -0.2940810547064089, -0.25, -0.16662666892071223, -0.25, -0.25, -0.25, -0.25, -0.32145420425734084, -0.25, -0.25, -0.24285284627137496, -0.25, -0.25, -0.08174175611288612, -0.25, -0.25, -0.25, -0.21727577249617192, -0.07319602250980416, -0.09060326730126014, -0.25, -0.06113607221217952, -0.375293403878163, -0.25, -0.25, -0.3301674019680375, -0.25, -0.22197728576807602, -0.25, -0.25, -0.10371292538402606, -0.25, -0.48260700232029735, -0.25, -0.3879561383107858, -0.06989464995571781, -0.25, -0.42957976768968137, -0.27049215158379375, -0.09358225002048091, -0.25, -0.25, -0.37840113623681026, -0.42450437626412113, -0.2567313263151946, -0.25, -0.25, -0.04071252348579909, -0.2230549241547532, -0.29758210663991086, -0.25, -0.25, -0.25, -0.31289435982394587, -0.3964998875919549, -0.25, -0.25, -0.25, -0.25, -0.25, -0.3434334617668886, -0.25, -0.04772850855558858, -0.25, -0.25, -0.25, -0.3938073005224994, -0.4164696928406235, -0.25, -0.25, -0.19654263535832817, -0.25, -0.3917427971846482, -0.25, -0.1638900451023904, -0.46701078408048957, -0.3483889181140689, -0.25, -0.25, -0.3621714578202922, -0.25, -0.25, -0.25, -0.17693455158348634, -0.25, -0.25, -0.25, -0.25, -0.251460464928156, -0.2456195886384451, -0.2660113297927775], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 4.358898943540674, 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444120897, 'label': '9025.2.a.p.1.1', 'level': 9025, '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

  
  {'ALdims': [121, 126, 139, 129], 'ALdims_eis_new': [8, 9, 16, 18], 'ALdims_eis_old': [21, 21, 14, 12], 'ALdims_old': [95, 104, 86, 91], 'Nk2': 36100, 'analytic_conductor': 72.06498782420555, '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': [9025, 1, [5777, 3251], [1, 1]], 'conrey_index': 1, 'cusp_dim': 891, 'dim': 515, 'eis_dim': 119, 'eis_new_dim': 51, 'hecke_cutter_primes': [2, 3, 7, 11, 29], 'hecke_orbit_code': 33563457, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 8, 9, 9, 9, 9, 10, 10, 10, 10, 16, 16, 16, 20, 20, 21, 21, 21, 21, 24, 24, 40], 'label': '9025.2.a', 'level': 9025, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [5, 19], 'level_radical': 95, 'mf_dim': 1010, 'mf_new_dim': 566, 'num_forms': 74, 'plus_dim': 250, 'prim_orbit_index': 1, 'relative_dim': 515, 'sturm_bound': 1900, 'trace_bound': 14, 'trace_display': [-1, 2, 0, 2], 'traces': [515, -1, 2, 487, 0, 0, 2, -9, 473, 0, 2, 0, 6, 0, 0, 439, 2, -29, 0, 0, 6, -12, -16, -16, 0, -14, 8, 2, 0, 0, 16, -9, 6, 10, 0, 427, 16, 0, 52, 0, -4, 58, -6, -10, 0, -4, -10, 40, 389, 0, 2, 30, 18, 50, 0, 32, 0, 24, -2, 0, 24, 54, -12, 281, 0, 86, -20, 10, 0, 0, -18, -65, 22, 14, 0, 0, -28, 0, 24, 0, 315, 8, -20, 56, 0, -40, -66, -16, -2, 0, 24, 48, -40, -24, 0, -26, 58, 23, -30, 0, -38, 70, 10, 20, 0, -22, 6, 28, -50, 0, -32, -58, 4, 0, 0, -6, -22, 54, 16, 0, 313, 2, 62, 100, 0, 4, -22, -33, 34, 0, 36, 112, 0, 20, 0, 26, 18, -72, 14, 0, -62, -60, 24, 309, 0, -94, 64, -34, 2, 0, -30, 0, 86, -92, 0, 18, 54, 50, -94, 0, -8, -49, 28, -82, 0, 20, -26, 88, 231, 0, 0, -74, -56, -12, 0, 60, 50, -48, -54, 0, 28, 54, 14, 32, 0, -8, -74, 86, -56, 0, -108, 96, -2, -110, 0, 255, -20, -60, 34, 0, 60, -54, 34, 24, 0, 30, -28, -78, 0, 0, 10, -14, -40, -88, 0, 202, 36, -38, 62, 0, -68, 32, -18, 196, 0, -90, 44, 0, 36, 0, -14, 72, -32, -84, 0, 168, -20, -40, -32, 0, 0, 147, 46, 94, 0, 20, 0, 66, -72, 0, 86, 284, -52, -18, 0, -37, -22, 90, 114, 0, -36, -36, 36, 218, 0, 0, -40, -32, -82, 0, -158, -4, -172, -158, 0, -24, -148, 92, -96, 0, -44, -82, -112, -136, 0, -44, 94, 3, 37, 0, -166, 72, -6, -204, 0, -124, -4, -6, -48, 0, -40, -90, 32, 0, 0, -74, 4, -12, -80, 0, -84, 44, -12, 10, 0, -44, -48, -80, 6, 0, 74, 144, 0, 67, 0, -28, -54, -6, 4, 0, 52, -60, -68, 94, 0, 128, 78, 25, 56, 0, -44, 0, -68, -128, 0, -188, 40, -76, 46, 0, 74, -60, -74, -8, 0, -42, -166, -12, 134, 0, 0, 130, -48, 168, 0, 20, 90, 248, 52, 0, 12, -12, -46, 52, 0, 52, 162, 184, 30, 0, -200, 96, -48, -174, 0, 110, 78, 46, 54, 0, 92, -17, -34, -182, 0, -250, 164, -48, 0, 0, -62, -104, -158, -170, 0, -98, -30, 190, 6, 0, 150, 48, -74, 88, 0, -46, 86, 0, 78, 0, 46, 132, 226, -146, 0, -136, -246, 132, 2, 0, 88, 172, 112, -110, 0, 30, 0, -64, 30, 0, 77, 262, -64, 46, 0, 264, 50, 162, -110, 0, 186, -74, -80, 12, 0, 0, -34, 10, 136, 0, 98, 306, -28, -6, 0, 78, -40, -22, 216, 0, -36, 72, -6, -44, 0, -28, 86, 120, 36, 0, -104, 120, 96, -27, 0, 46, -74, -114, -28, 0, 54, 38, 50, 0, 0, 348, -6, 216, 56, 0, -2, 100, -18, -156, 0, -32, 2, -60, -26, 0, 70, 107, 0, 204, 0, -64, 14, -86, 20, 0, -90, -10, 10, 240, 0, -32, 172, -12, 79, 0, -130, 0, 38, 68, 0, 20, 88, 74, 254, 0, -20, -144, -40, 94, 0, 68, -16, 34, -146, 0, 0, -104, -8, 66, 0, 38, 174, 82, 216, 0, 126, -84, 66, -268, 0, 68, -96, 28, -122, 0, 44, 28, 26, 2, 0, -3, -8, -179, -34, 0, 162, -80, -40, -298, 0, 18, -66, -220, 0, 0, -168, -130, -116, 300, 0, -26, 26, 48, -28, 0, 28, 0, -88, -60, 0, -176, -4, 0, -42, 0, 20, 294, -118, 288, 0, -240, 210, -24, 120, 0, -228, 8, 92, 230, 0, 262, 0, 26, -118, 0, 98, -254, -88, -706, 0, -128, 2, -282, -62, 0, 166, 24, 36, -200, 0, 0, -48, -85, -98, 0, -274, -222, 56, -124, 0, -126, 74, 0, -126, 0, -82, -286, 154, -8, 0, 320, -40, 44, 14, 0, 254, 120, 20, -304, 0, -211, 76, -16, 100, 0, -186, -26, 88, 0, 0, 36, 42, -260, -142, 0, 26, 26, 126, 8, 0, -240, -34, -54, 22, 0, -122, 96, 0, -40, 0, -266, 138, 42, -242, 0, 248, -58, 0, -694, 0, 204, 34, -80, -56, 0, -90, 0, -148, -194, 0, -306, -80, 346, -103, 0, -418, 120, -170, 368, 0, -236, -112, -428, 88, 0, 0, -316, -96, -180, 0, -82, -410, 106, -102, 0, 4, 76, -122, -108, 0, -72, 22, -194, -52, 0, 90, 128, -136, -856, 0, -222, 20, -60, -152, 0, -706, 70, 12, -4, 0, 64, -100, -150, 0, 0, 58, 72, -110, -335, 0, -502, -104, -498, 34, 0, -2, -104, 20, -70, 0, 4, -46, 0, -6, 0, 82, 92, -350, 148, 0, 444, -78, -138, 20, 0, 40, 20, 156, -316, 0, 184, 0, -122, -16, 0, -110, -226, -250, -80, 0, -16, -120, 252, -54, 0, -258, -22, 102, 178, 0, 0, -126, 68, -26, 0, -199, -408, -542, 84, 0, 28, 48, 134, 226, 0, -52, -72, -98, -48, 0, -90, 52, 56, -72, 0, -48, 4, 162, 546, 0, -122, -84, 56, -68, 0, -200, -396, 174, 0, 0, -312, -136, -40, -36, 0, -36, 75, -24, 188, 0, 300, 150, 180, 62, 0, -468, 60, 0, -46, 0, 456, -12, -66, -96, 0, -328, 516, -130, -558, 0, 368, -48, -80, -342, 0, -290, 0, 138, 346, 0, 98, 86, -172, 30, 0, 196, 66, -84, 56, 0, 60, 70, 74, -110, 0, 0, 128, 82, 100, 0, -176, 194, -120, -248, 0, -124, 64, -40, 300, 0, 180, -360, 156, -12, 0, -182, -56, -78, -40, 0, -258, 236, -56, 52, 0, -283, -44, 202, 134, 0, 764, 68, 67, 0, 0, 336, 56, -142, -68, 0, 446, -58, -398, -176, 0, 142, -92, -24, -172, 0, 348, -54, 0, 244, 0, -86, 172, 326, 24, 0, -140, 54, 228, 654, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 47935673
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444120897, 'source_is_minimal': False, 'source_label': '9025.2.a.p.1.1', 'source_level': 9025, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444120897, 'target_is_minimal': False, 'target_label': '9025.2.a.p.1.1', 'target_level': 9025, 'twist_class_label': '1805.2.b.d.1084.1', 'twist_class_level': 1805, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47935674
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444120897, 'source_is_minimal': False, 'source_label': '9025.2.a.p.1.1', 'source_level': 9025, 'target_conrey_index': 1084, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510867635144461, 'target_is_minimal': True, 'target_label': '1805.2.b.d.1084.1', 'target_level': 1805, 'twist_class_label': '1805.2.b.d.1084.1', 'twist_class_level': 1805, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47935675
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444120897, 'source_is_minimal': False, 'source_label': '9025.2.a.p.1.1', 'source_level': 9025, 'target_conrey_index': 1084, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510867635144461, 'target_is_minimal': True, 'target_label': '1805.2.b.d.1084.2', 'target_level': 1805, 'twist_class_label': '1805.2.b.d.1084.1', 'twist_class_level': 1805, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47935676
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444120897, 'source_is_minimal': False, 'source_label': '9025.2.a.p.1.1', 'source_level': 9025, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67553994444120897, 'target_is_minimal': False, 'target_label': '9025.2.a.p.1.2', 'target_level': 9025, 'twist_class_label': '1805.2.b.d.1084.1', 'twist_class_level': 1805, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47935677
    {'conductor': 19, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444120897, 'source_is_minimal': False, 'source_label': '9025.2.a.p.1.1', 'source_level': 9025, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444120897, 'target_is_minimal': False, 'target_label': '9025.2.a.p.1.1', 'target_level': 9025, 'twist_class_label': '1805.2.b.d.1084.1', 'twist_class_level': 1805, 'twisting_char_label': '19.18', 'twisting_conrey_index': 18, 'weight': 2}
  • id: 47935678
    {'conductor': 95, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444120897, 'source_is_minimal': False, 'source_label': '9025.2.a.p.1.1', 'source_level': 9025, 'target_conrey_index': 1084, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510867635144461, 'target_is_minimal': True, 'target_label': '1805.2.b.d.1084.2', 'target_level': 1805, 'twist_class_label': '1805.2.b.d.1084.1', 'twist_class_level': 1805, 'twisting_char_label': '95.18', 'twisting_conrey_index': 18, 'weight': 2}
  • id: 47935679
    {'conductor': 95, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444120897, 'source_is_minimal': False, 'source_label': '9025.2.a.p.1.1', 'source_level': 9025, 'target_conrey_index': 1084, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510867635144461, 'target_is_minimal': True, 'target_label': '1805.2.b.d.1084.1', 'target_level': 1805, 'twist_class_label': '1805.2.b.d.1084.1', 'twist_class_level': 1805, 'twisting_char_label': '95.37', 'twisting_conrey_index': 37, 'weight': 2}
  • id: 47935680
    {'conductor': 95, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444120897, 'source_is_minimal': False, 'source_label': '9025.2.a.p.1.1', 'source_level': 9025, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67553994444120897, 'target_is_minimal': False, 'target_label': '9025.2.a.p.1.2', 'target_level': 9025, 'twist_class_label': '1805.2.b.d.1084.1', 'twist_class_level': 1805, 'twisting_char_label': '95.94', 'twisting_conrey_index': 94, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4913825
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 2}
  • id: 4913826
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 3}
  • id: 4913827
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 5}
  • id: 4913828
    {'charpoly_factorization': [[[-19, 0, 1], 1]], 'hecke_orbit_code': 67553994444120897, 'p': 7}
  • id: 4913829
    {'charpoly_factorization': [[[-5, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 11}
  • id: 4913830
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 13}
  • id: 4913831
    {'charpoly_factorization': [[[-19, 0, 1], 1]], 'hecke_orbit_code': 67553994444120897, 'p': 17}
  • id: 4913832
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 19}
  • id: 4913833
    {'charpoly_factorization': [[[-76, 0, 1], 1]], 'hecke_orbit_code': 67553994444120897, 'p': 23}
  • id: 4913834
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 29}
  • id: 4913835
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 31}
  • id: 4913836
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 37}
  • id: 4913837
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 41}
  • id: 4913838
    {'charpoly_factorization': [[[-171, 0, 1], 1]], 'hecke_orbit_code': 67553994444120897, 'p': 43}
  • id: 4913839
    {'charpoly_factorization': [[[-19, 0, 1], 1]], 'hecke_orbit_code': 67553994444120897, 'p': 47}
  • id: 4913840
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 53}
  • id: 4913841
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 59}
  • id: 4913842
    {'charpoly_factorization': [[[15, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 61}
  • id: 4913843
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 67}
  • id: 4913844
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 71}
  • id: 4913845
    {'charpoly_factorization': [[[-171, 0, 1], 1]], 'hecke_orbit_code': 67553994444120897, 'p': 73}
  • id: 4913846
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 79}
  • id: 4913847
    {'charpoly_factorization': [[[-76, 0, 1], 1]], 'hecke_orbit_code': 67553994444120897, 'p': 83}
  • id: 4913848
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, 'p': 89}
  • id: 4913849
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444120897, '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': 16, 'label': '9025.2.a.p', 'level': 9025, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 60944995
    {'hecke_orbit_code': 67553994444120897, 'n': 1, 'trace_an': 2}
  • id: 60944996
    {'hecke_orbit_code': 67553994444120897, 'n': 2, 'trace_an': 0}
  • id: 60944997
    {'hecke_orbit_code': 67553994444120897, 'n': 3, 'trace_an': 0}
  • id: 60944998
    {'hecke_orbit_code': 67553994444120897, 'n': 4, 'trace_an': -4}
  • id: 60944999
    {'hecke_orbit_code': 67553994444120897, 'n': 5, 'trace_an': 0}
  • id: 60945000
    {'hecke_orbit_code': 67553994444120897, 'n': 6, 'trace_an': 0}
  • id: 60945001
    {'hecke_orbit_code': 67553994444120897, 'n': 7, 'trace_an': 0}
  • id: 60945002
    {'hecke_orbit_code': 67553994444120897, 'n': 8, 'trace_an': 0}
  • id: 60945003
    {'hecke_orbit_code': 67553994444120897, 'n': 9, 'trace_an': -6}
  • id: 60945004
    {'hecke_orbit_code': 67553994444120897, 'n': 10, 'trace_an': 0}
  • id: 60945005
    {'hecke_orbit_code': 67553994444120897, 'n': 11, 'trace_an': 10}
  • id: 60945006
    {'hecke_orbit_code': 67553994444120897, 'n': 12, 'trace_an': 0}
  • id: 60945007
    {'hecke_orbit_code': 67553994444120897, 'n': 13, 'trace_an': 0}
  • id: 60945008
    {'hecke_orbit_code': 67553994444120897, 'n': 14, 'trace_an': 0}
  • id: 60945009
    {'hecke_orbit_code': 67553994444120897, 'n': 15, 'trace_an': 0}
  • id: 60945010
    {'hecke_orbit_code': 67553994444120897, 'n': 16, 'trace_an': 8}
  • id: 60945011
    {'hecke_orbit_code': 67553994444120897, 'n': 17, 'trace_an': 0}
  • id: 60945012
    {'hecke_orbit_code': 67553994444120897, 'n': 18, 'trace_an': 0}
  • id: 60945013
    {'hecke_orbit_code': 67553994444120897, 'n': 19, 'trace_an': 0}
  • id: 60945014
    {'hecke_orbit_code': 67553994444120897, 'n': 20, 'trace_an': 0}
  • id: 60945015
    {'hecke_orbit_code': 67553994444120897, 'n': 21, 'trace_an': 0}
  • id: 60945016
    {'hecke_orbit_code': 67553994444120897, 'n': 22, 'trace_an': 0}
  • id: 60945017
    {'hecke_orbit_code': 67553994444120897, 'n': 23, 'trace_an': 0}
  • id: 60945018
    {'hecke_orbit_code': 67553994444120897, 'n': 24, 'trace_an': 0}
  • id: 60945019
    {'hecke_orbit_code': 67553994444120897, 'n': 25, 'trace_an': 0}
  • id: 60945020
    {'hecke_orbit_code': 67553994444120897, 'n': 26, 'trace_an': 0}
  • id: 60945021
    {'hecke_orbit_code': 67553994444120897, 'n': 27, 'trace_an': 0}
  • id: 60945022
    {'hecke_orbit_code': 67553994444120897, 'n': 28, 'trace_an': 0}
  • id: 60945023
    {'hecke_orbit_code': 67553994444120897, 'n': 29, 'trace_an': 0}
  • id: 60945024
    {'hecke_orbit_code': 67553994444120897, 'n': 30, 'trace_an': 0}
  • id: 60945025
    {'hecke_orbit_code': 67553994444120897, 'n': 31, 'trace_an': 0}
  • id: 60945026
    {'hecke_orbit_code': 67553994444120897, 'n': 32, 'trace_an': 0}
  • id: 60945027
    {'hecke_orbit_code': 67553994444120897, 'n': 33, 'trace_an': 0}
  • id: 60945028
    {'hecke_orbit_code': 67553994444120897, 'n': 34, 'trace_an': 0}
  • id: 60945029
    {'hecke_orbit_code': 67553994444120897, 'n': 35, 'trace_an': 0}
  • id: 60945030
    {'hecke_orbit_code': 67553994444120897, 'n': 36, 'trace_an': 12}
  • id: 60945031
    {'hecke_orbit_code': 67553994444120897, 'n': 37, 'trace_an': 0}
  • id: 60945032
    {'hecke_orbit_code': 67553994444120897, 'n': 38, 'trace_an': 0}
  • id: 60945033
    {'hecke_orbit_code': 67553994444120897, 'n': 39, 'trace_an': 0}
  • id: 60945034
    {'hecke_orbit_code': 67553994444120897, 'n': 40, 'trace_an': 0}
  • id: 60945035
    {'hecke_orbit_code': 67553994444120897, 'n': 41, 'trace_an': 0}
  • id: 60945036
    {'hecke_orbit_code': 67553994444120897, 'n': 42, 'trace_an': 0}
  • id: 60945037
    {'hecke_orbit_code': 67553994444120897, 'n': 43, 'trace_an': 0}
  • id: 60945038
    {'hecke_orbit_code': 67553994444120897, 'n': 44, 'trace_an': -20}
  • id: 60945039
    {'hecke_orbit_code': 67553994444120897, 'n': 45, 'trace_an': 0}
  • id: 60945040
    {'hecke_orbit_code': 67553994444120897, 'n': 46, 'trace_an': 0}
  • id: 60945041
    {'hecke_orbit_code': 67553994444120897, 'n': 47, 'trace_an': 0}
  • id: 60945042
    {'hecke_orbit_code': 67553994444120897, 'n': 48, 'trace_an': 0}
  • id: 60945043
    {'hecke_orbit_code': 67553994444120897, 'n': 49, 'trace_an': 24}
  • id: 60945044
    {'hecke_orbit_code': 67553994444120897, 'n': 50, 'trace_an': 0}
  • id: 60945045
    {'hecke_orbit_code': 67553994444120897, 'n': 51, 'trace_an': 0}
  • id: 60945046
    {'hecke_orbit_code': 67553994444120897, 'n': 52, 'trace_an': 0}
  • id: 60945047
    {'hecke_orbit_code': 67553994444120897, 'n': 53, 'trace_an': 0}
  • id: 60945048
    {'hecke_orbit_code': 67553994444120897, 'n': 54, 'trace_an': 0}
  • id: 60945049
    {'hecke_orbit_code': 67553994444120897, 'n': 55, 'trace_an': 0}
  • id: 60945050
    {'hecke_orbit_code': 67553994444120897, 'n': 56, 'trace_an': 0}
  • id: 60945051
    {'hecke_orbit_code': 67553994444120897, 'n': 57, 'trace_an': 0}
  • id: 60945052
    {'hecke_orbit_code': 67553994444120897, 'n': 58, 'trace_an': 0}
  • id: 60945053
    {'hecke_orbit_code': 67553994444120897, 'n': 59, 'trace_an': 0}
  • id: 60945054
    {'hecke_orbit_code': 67553994444120897, 'n': 60, 'trace_an': 0}
  • id: 60945055
    {'hecke_orbit_code': 67553994444120897, 'n': 61, 'trace_an': -30}
  • id: 60945056
    {'hecke_orbit_code': 67553994444120897, 'n': 62, 'trace_an': 0}
  • id: 60945057
    {'hecke_orbit_code': 67553994444120897, 'n': 63, 'trace_an': 0}
  • id: 60945058
    {'hecke_orbit_code': 67553994444120897, 'n': 64, 'trace_an': -16}
  • id: 60945059
    {'hecke_orbit_code': 67553994444120897, 'n': 65, 'trace_an': 0}
  • id: 60945060
    {'hecke_orbit_code': 67553994444120897, 'n': 66, 'trace_an': 0}
  • id: 60945061
    {'hecke_orbit_code': 67553994444120897, 'n': 67, 'trace_an': 0}
  • id: 60945062
    {'hecke_orbit_code': 67553994444120897, 'n': 68, 'trace_an': 0}
  • id: 60945063
    {'hecke_orbit_code': 67553994444120897, 'n': 69, 'trace_an': 0}
  • id: 60945064
    {'hecke_orbit_code': 67553994444120897, 'n': 70, 'trace_an': 0}
  • id: 60945065
    {'hecke_orbit_code': 67553994444120897, 'n': 71, 'trace_an': 0}
  • id: 60945066
    {'hecke_orbit_code': 67553994444120897, 'n': 72, 'trace_an': 0}
  • id: 60945067
    {'hecke_orbit_code': 67553994444120897, 'n': 73, 'trace_an': 0}
  • id: 60945068
    {'hecke_orbit_code': 67553994444120897, 'n': 74, 'trace_an': 0}
  • id: 60945069
    {'hecke_orbit_code': 67553994444120897, 'n': 75, 'trace_an': 0}
  • id: 60945070
    {'hecke_orbit_code': 67553994444120897, 'n': 76, 'trace_an': 0}
  • id: 60945071
    {'hecke_orbit_code': 67553994444120897, 'n': 77, 'trace_an': 0}
  • id: 60945072
    {'hecke_orbit_code': 67553994444120897, 'n': 78, 'trace_an': 0}
  • id: 60945073
    {'hecke_orbit_code': 67553994444120897, 'n': 79, 'trace_an': 0}
  • id: 60945074
    {'hecke_orbit_code': 67553994444120897, 'n': 80, 'trace_an': 0}
  • id: 60945075
    {'hecke_orbit_code': 67553994444120897, 'n': 81, 'trace_an': 18}
  • id: 60945076
    {'hecke_orbit_code': 67553994444120897, 'n': 82, 'trace_an': 0}
  • id: 60945077
    {'hecke_orbit_code': 67553994444120897, 'n': 83, 'trace_an': 0}
  • id: 60945078
    {'hecke_orbit_code': 67553994444120897, 'n': 84, 'trace_an': 0}
  • id: 60945079
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  • id: 60945080
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  • id: 60945081
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  • id: 60945082
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  • id: 60945083
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  • id: 60945084
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  • id: 60945085
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  • id: 60945086
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  • id: 60945087
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  • id: 60945088
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  • id: 60945089
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  • id: 60945090
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  • id: 60945091
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  • id: 60945092
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  • id: 60945093
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  • id: 60945094
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  • id: 60945095
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  • id: 60945096
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  • id: 60945097
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  • id: 60945098
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  • id: 60945099
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  • id: 60945100
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  • id: 60945101
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  • id: 60945102
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  • id: 60945103
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  • id: 60945104
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  • id: 60945105
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  • id: 60945106
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  • id: 60945107
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  • id: 60945108
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  • id: 60945109
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  • id: 60945110
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  • id: 60945111
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  • id: 60945112
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  • id: 60945113
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  • id: 60945114
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  • id: 60945115
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  • id: 60945116
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  • id: 60945117
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  • id: 60945118
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  • id: 60945119
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  • id: 60945120
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  • id: 60945121
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  • id: 60945122
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  • id: 60945123
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  • id: 60945124
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  • id: 60945125
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  • id: 60945126
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  • id: 60945127
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  • id: 60945128
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  • id: 60945129
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  • id: 60945130
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  • id: 60945131
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  • id: 60945132
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  • id: 60945133
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  • id: 60945134
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  • id: 60945135
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  • id: 60945136
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  • id: 60945137
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  • id: 60945138
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  • id: 60945139
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  • id: 60945140
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  • id: 60945141
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  • id: 60945142
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  • id: 60945143
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  • id: 60945144
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  • id: 60945145
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  • id: 60945146
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  • id: 60945147
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  • id: 60945148
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  • id: 60945149
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  • id: 60945150
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  • id: 60945151
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  • id: 60945152
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  • id: 60945153
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  • id: 60945154
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  • id: 60945155
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  • id: 60945156
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  • id: 60945157
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  • id: 60945158
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  • id: 60945159
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  • id: 60945160
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  • id: 60945161
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  • id: 60945162
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  • id: 60945163
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  • id: 60945164
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  • id: 60945165
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  • id: 60945166
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  • id: 60945167
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  • id: 60945168
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  • id: 60945169
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  • id: 60945170
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  • id: 60945171
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  • id: 60945172
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  • id: 60945173
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  • id: 60945174
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  • id: 60945175
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  • id: 60945176
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  • id: 60945177
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  • id: 60945178
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  • id: 60945179
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  • id: 60945180
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  • id: 60945181
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  • id: 60945182
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  • id: 60945183
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  • id: 60945184
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  • id: 60945185
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  • id: 60945186
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  • id: 60945187
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  • id: 60945188
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  • id: 60945189
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  • id: 60945190
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  • id: 60945191
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  • id: 60945192
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  • id: 60945193
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  • id: 60945194
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  • id: 60945195
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  • id: 60945196
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  • id: 60945197
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  • id: 60945198
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  • id: 60945199
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  • id: 60945200
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  • id: 60945201
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  • id: 60945202
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  • id: 60945203
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  • id: 60945204
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  • id: 60945205
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  • id: 60945206
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  • id: 60945207
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  • id: 60945208
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  • id: 60945209
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  • id: 60945210
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  • id: 60945211
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  • id: 60945212
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  • id: 60945213
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  • id: 60945214
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  • id: 60945215
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  • id: 60945216
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  • id: 60945217
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  • id: 60945218
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  • id: 60945219
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  • id: 60945220
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  • id: 60945221
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  • id: 60945222
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  • id: 60945223
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  • id: 60945224
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  • id: 60945225
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  • id: 60945226
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  • id: 60945227
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  • id: 60945228
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  • id: 60945229
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  • id: 60945230
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  • id: 60945231
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  • id: 60945232
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  • id: 60945233
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  • id: 60945234
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  • id: 60945235
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  • id: 60945236
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  • id: 60945237
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  • id: 60945238
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  • id: 60945239
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  • id: 60945240
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  • id: 60945241
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  • id: 60945242
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  • id: 60945243
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  • id: 60945244
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  • id: 60945245
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  • id: 60945246
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  • id: 60945247
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  • id: 60945248
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  • id: 60945249
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  • id: 60945250
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  • id: 60945251
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  • id: 60945252
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