Newform data - 680.2.ba.b

Formats: - HTML - YAML - JSON - 2025-10-22T02:20:30.803922

• 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': 2720, 'analytic_conductor': 5.429827337447066, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 136, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 4, 'char_parity': 1, 'char_values': [680, 4, [511, 341, 137, 241], [4, 2, 4, 3]], 'cm_discs': [], 'conrey_index': 21, 'dim': 140, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [3164765647860700020736, 0, 0, 0, 5526431525692186389643264, 0, 0, 0, 1690907338752339936843137024, 0, 0, 0, 200100029031600189411541712896, 0, 0, 0, 10878625207118445840405545877504, 0, 0, 0, 278153614707307837101372132950016, 0, 0, 0, 3279968063990852992116925927522304, 0, 0, 0, 19547796588558821882057582112079872, 0, 0, 0, 64761241236814221303913812326285312, 0, 0, 0, 128760739669165452095685593936674816, 0, 0, 0, 163016538765760851687221981305946112, 0, 0, 0, 137888468868851493414227111190528000, 0, 0, 0, 81103790238831635737038738248261632, 0, 0, 0, 34314935516649498146624416476938240, 0, 0, 0, 10746524335560650284322120901175296, 0, 0, 0, 2551116749292950748161852362061312, 0, 0, 0, 468129282148743836924438485144576, 0, 0, 0, 67465607438717141573154479725056, 0, 0, 0, 7734498623771627570810656057344, 0, 0, 0, 712537036033633548719000992768, 0, 0, 0, 53161675094897873328493841408, 0, 0, 0, 3230826461979601491229428160, 0, 0, 0, 160568808631845000757479232, 0, 0, 0, 6540333025097878921525696, 0, 0, 0, 218449370604500061232544, 0, 0, 0, 5975449235548235669824, 0, 0, 0, 133436655895661566144, 0, 0, 0, 2419349528847432801, 0, 0, 0, 35322890585915688, 0, 0, 0, 410351424074300, 0, 0, 0, 3728614273752, 0, 0, 0, 25844859558, 0, 0, 0, 131574520, 0, 0, 0, 462460, 0, 0, 0, 1000, 0, 0, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505386367320744, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0], [1, 1, 17, 3, 1, 4, 0], [1, 1, 136, 9, 1, 4, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '680.2.ba.b', 'level': 680, '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': [2, 5, 17], 'level_radical': 170, 'minimal_twist': '680.2.ba.b', 'prim_orbit_index': 9, 'related_objects': [], 'relative_dim': 70, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '680.2.ba', 'trace_display': [0, 0, 0, -12], 'traces': [140, 0, 0, -8, 0, -4, -12, 0, 0, 0, 0, 20, 0, 28, 0, -24, -16, 0, 0, -8, 0, 40, 4, 48, 0, 0, 0, -20, 0, 0, 28, 0, 0, -8, 0, 0, 0, -56, 0, 24, 44, 0, 0, 28, 0, -40, -120, 32, 0, 0, 0, -48, 0, -4, 16, 16, -16, -52, 0, 0, 0, -72, 44, -104, 0, 0, 0, 8, 0, 0, 12, -104, 36, 20, 0, 0, 0, 28, -44, 0, -76, -44, 0, 48, 0, 120, 0, 28, 24, 28, 0, -72, 0, 0, 8, -116, 12, 176, 0, 0, 0, 4, -48, 0, 0, -24, 0, -124, 0, 0, 0, -32, 28, 40, 0, 20, 0, -24, -172, 24, 0, -32, 0, -84, 0, 208, 0, 0, 80, 40, 0, 72, 0, 0, -64, 28, 208, 0, 0, 56, 0, 68, -80, 0, 0, 76, 0, 12, 0, 4, 0, 40, 12, -8, 0, -28, 0, -16, -16, 20, 0, 0, 0, -4, 0, -40, -20, 0, -196, 68, 0, 0, 0, -32, 12, 56, -80, 0, 0, -88, 0, -220, 128, 60, 0, -56, 0, -152, 0, 24, 8, 60, 4, -168, 0, 0, 0, 12, -12, 0, 16, 0, 0, 32, 0, 0, 12, -144, 144, -60, 0, 0, 0, -12, -24, -244, 72, -80, 0, -56, 0, 168, 0, 4, -156, -84, 0, -104, 0, 0, -96, -228, -20, 440, 0, 0, 0, -196, -40, 0, 60, 96, 0, -136, 0, 0, 0, 148, -16, 0, 0, -8, 0, 184, 0, -8, 0, -44, 0, 60, 0, 148, 0, 0, -48, 40, 0, 344, 0, 0, 24, -300, -64, 0, 0, 104, 0, -64, 236, 0, 0, -4, 0, 208, 0, -60, 0, 176, -140, -56, 0, -100, 0, 280, -16, 148, 0, 0, 0, 20, 0, -24, 304, 0, -8, 28, 0, 0, 0, -128, -68, 316, -44, 0, 0, 36, 0, -104, -128, 40, 0, -136, 0, 24, 0, 32, 192, 164, -152, -48, 0, 0, 0, -60, 16, -280, -108, 0, 0, 88, 0, 0, 336, 96, 0, -348, 0, 0, 0, 28, -224, -200, 160, -64, 0, -240, 0, 128, 0, 100, 316, -28, 0, -84, 0, 0, 100, 92, 36, -24, 0, 0, 0, -12, -16, 0, 32, 440, 0, -24, 0, 0, 0, -16, -48, 364, 0, -24, 0, 56, -124, 248, 0, -44, 0, -424, 0, 120, 0, 0, -20, 476, 0, 456, 0, 0, -704, -360, -112, 0, 0, 288, 0, 116, -24, 0, 0, -272, 0, 32, 0, -124, 0, 0, -4, -224, 0, 116, 0, -80, -260, 260, 0, 0, 0, 256, 0, -576, -348, 0, -212, 132, 0, 0, 0, 80, 192, 36, 92, 0, 0, 84, 0, -280, 160, 0, 0, -368, 0, -48, 0, 460, -48, 332, 64, -184, 0, 0, 0, 8, 288, 248, -80, 0, 0, 8, 0, 0, -180, -192, -32, -276, 0, 0, 0, -308, 260, -176, 0, -4, 0, -104, 0, 24, 0, 176, 8, -156, 0, -8, 0, 0, 28, 28, -8, 376, 0, 0, 0, -180, 312, 0, -160, 176, 0, -404, 0, 0, 0, 104, -172, 412, 0, -176, 0, 8, 148, 224, 0, 24, 0, 0, 0, 260, 0, 0, 272, -224, 0, -56, 0, 0, -96, -64, -72, 0, 0, 272, 0, 40, 384, 0, 0, 16, 0, 292, 0, 284, 0, 48, 128, -344, 0, 84, 0, 464, 348, 192, 0, 0, 0, 316, 0, -768, -4, 0, -16, 112, 0, 0, 0, -384, 384, -68, 96, 0, 0, -408, 0, -16, -256, -340, 0, -80, 0, 16, 0, 76, 128, -48, 4, -260, 0, 0, 0, -276, -260, -648, 128, 0, 0, 492, 0, 0, 0, 264, -28, -44, 0, 0, 0, -20, -120, -308, -140, -84, 0, -120, 0, 248, 0, 44, -480, -320, 0, -208, 0, 0, 492, 0, 12, -176, 0, 0, 0, 56, -440, 0, -176, 40, 0, -560, 0, 0, 0, -12, -140, 20, 0, 92, 0, 64, -112, 280, 0, -60, 0, 212, 0, 80, 0, 0, 124, -64, 0, 208, 0, 0, 104, -144, 128, 0, 0, 152, 0, 44, 32, 0, 0, -148, 0, 420, 0, 120, 0, -104, 76, -392, 0, 20, 0, -152, 96, 244, 0, 0, 0, -120, 0, 88, -740, 0, -152, -268, 0, 0, 0, -544, 20, 120, 32, 0, 0, -52, 0, -296, 392, 564, 0, -168, 0, -456, 0, -84, -144, 408, -336, -508, 0, 0, 0, -720, -236, -840, 32, 0, 0, 156, 0, 0, -220, 136, 528, -40, 0, 0, 0, 364, 320, -24, -192, 484, 0, -208, 0, 136, 0, -48, -160, 256, 0, -444, 0, 0, 28, -104, 416, 688, 0, 0, 0, -616, 1216, 0, -56, 144, 0, 252, 0, 0, 0, -136, -64, 216, 0, -44, 0, 336, 176, 40, 0, -424, 0, -476, 0, 292, 0, 0, -76, 12, 0, -432, 0, 0, 320, 212, -32, 0, 0, 184, 0, 588, 20, 0, 0, 496, 0, 132, 0, 8, 0, -120, -460, 48, 0, 184, 0, -84, -196, 180, 0, 0, 0, -72, 0, -256, 324, 0, -192, 40, 0, 0, 0, 184, 184, 344, -52, 0, 0, -156, 0, -160, -16, 468, 0, 32, 0, 64, 0, 184, 192, -48, -68, -80, 0, 0, 0, 116, -48, 32, -172, 0, 0, -100, 0, 0, 36, -928, -8, -52, 0, 0, 0, -232, -152, -632, -320, -68, 0, -24, 0, 152, 0, -164, 8, -416, 0, -120, 0, 0, 420, -936, -464, 784, 0, 0, 0, -60, -408, 0, 400, 248, 0, -196, 0, 0, 0, 228, 100, -64, 0, 24, 0, -40, -64, -16, 0, -44, 0, 204, 0, 560, 0, 0, 0, 460, 0, 1000, 0, 0, -224, -192, 72, 0, 0, -544, 0, 64, -624, 0, 0, 192, 0, 44, 0, 36, 0, 432, -144, -176, 0, -348, 0, 652, 0, 240, 0, 0, 0, 104, 0, 440, -212, 0, 312, 76, 0, 0, 0, -320, 340, 424, -16, 0, 0, 228, 0, -156, -256, -24], 'weight': 2, 'weight_parity': 1}
• label 680.2.ba.b does not appear in mf_hecke_nf
• 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': 2720, 'analytic_conductor': 5.429827337447066, 'char_conductor': 136, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 4, 'char_parity': 1, 'char_values': [680, 4, [511, 341, 137, 241], [4, 2, 4, 3]], 'conrey_index': 21, 'cusp_dim': 208, 'dim': 144, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 1786739950248, 'hecke_orbit_dims': [4, 140], 'label': '680.2.ba', 'level': 680, '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': [2, 5, 17], 'level_radical': 170, 'mf_dim': 224, 'mf_new_dim': 144, 'num_forms': 2, 'prim_orbit_index': 9, 'relative_dim': 72, 'sturm_bound': 216, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [144, 0, 0, 0, 0, -4, 0, 0, 0, -4, 0, 20, 0, 28, 0, -8, 0, 0, 0, -8, 0, 24, 0, 48, 0, 0, 0, 4, 0, 0, 16, 0, 0, -8, 0, 0, 0, -40, 0, 16, 16, 0, 0, 28, 0, -40, -80, 32, 0, 0, 0, -48, 0, -4, 32, 16, -16, -60, 0, 0, 0, -72, 80, -72, 0, 0, 0, 40, 0, 0, 32, -104, 0, 12, 0, 0, 0, 28, -16, 0, -112, -44, 0, 48, 0, 72, 0, -4, 0, 16, 0, -80, 0, 0, 0, -116, 0, 176, 0, 0, 0, 4, -80, 0, 0, 8, 0, -124, 0, 0, 0, 16, -16, 40, 0, 20, 0, -56, -112, 24, 0, -40, 0, -108, 0, 208, 0, 0, 80, 40, 0, 72, 0, 0, -64, 28, 160, 0, 0, 56, 0, 68, -80, 0, 0, 76, 0, 12, 0, 4, 0, 72, 0, -104, 0, -28, 0, -16, -16, 4, 0, 0, 0, -60, 0, -120, -80, 0, -144, 48, 0, 0, 0, -32, 0, 56, -80, 0, 0, -88, 0, -220, 128, 60, 0, -56, 0, -72, 0, 24, 0, 60, 0, -168, 0, 0, 0, 60, -32, 0, 16, 0, 0, 32, 0, 0, 0, -144, 112, -60, 0, 0, 0, -60, 0, -244, 0, -152, 0, -24, 0, 168, 0, 4, -144, -84, 0, -104, 0, 0, -96, -244, 32, 440, 0, 0, 0, -196, 0, 0, 64, 96, 0, -136, 0, 0, 0, 148, -16, 4, 0, 64, 0, 184, 0, 56, 0, -44, 0, 60, 0, 180, 0, 0, -64, 88, 0, 344, 0, 0, 64, -236, -64, 0, 0, 104, 0, 16, 272, 0, 0, -4, 0, 248, 0, -60, 0, 176, -80, -56, 0, -172, 0, 280, 0, 132, 0, 0, 0, 20, 0, -24, 304, 0, 0, 28, 0, 0, 0, -104, -64, 316, -48, 0, 0, 92, 0, -104, -96, 40, 0, -136, 0, -48, 0, 112, 192, 164, -32, -48, 0, 0, 0, -60, 0, -280, -48, 0, 0, 88, 0, 0, 288, 0, 0, -244, 0, 0, 0, 28, -224, -264, 64, -64, 0, -288, 0, 144, 0, 76, 272, -20, 0, -84, 0, 0, 112, 76, -48, -24, 0, 0, 0, -60, -16, 0, 32, 440, 0, -40, 0, 0, 0, -16, 0, 364, 0, -48, 0, 56, -144, 248, 0, 12, 0, -424, 0, 120, 0, 0, 0, 476, 0, 456, 0, 0, -672, -360, 0, 0, 0, 224, 0, 116, 16, 0, 0, -272, 0, 32, 0, -124, 0, 64, 0, -224, 0, 116, 0, -80, -224, 260, 0, 0, 0, 256, 0, -576, -384, 0, -80, 132, 0, 0, 0, 80, 192, 132, 0, 0, 0, -4, 0, -184, 160, 0, 0, -272, 0, -48, 0, 460, -112, 332, 64, -184, 0, 0, 0, -32, 288, 184, 16, 0, 0, 128, 0, 0, -224, -192, -32, -276, 0, 0, 0, -308, 336, -192, 0, 40, 0, -104, 0, 24, 0, 128, 128, -156, 0, -8, 0, 0, -16, 28, -32, 408, 0, 0, 0, -180, 96, 0, -160, 176, 0, -404, 0, 0, 0, 104, -208, 388, 0, -176, 0, 8, 112, 224, 0, 24, 0, 0, 0, 260, 0, 0, 272, -152, 0, -56, 0, 0, -96, -64, 0, 0, 0, 176, 0, 24, 368, 0, 0, 8, 0, 292, 0, 284, 0, 48, 128, -344, 0, 84, 0, 400, 240, 192, 0, 0, 0, 316, 0, -768, 0, 0, 96, 112, 0, 0, 0, -384, 320, -68, 96, 0, 0, -408, 0, -16, -256, -340, 0, -80, 0, 16, 0, 76, 0, -48, -32, -404, 0, 0, 0, -276, -304, -584, 128, 0, 0, 468, 0, 0, 0, 72, -96, -44, 0, 0, 0, -20, -192, -308, -144, -84, 0, -120, 0, 176, 0, 44, -480, -360, 0, -208, 0, 0, 432, -32, 96, -176, 0, 0, 0, 120, -560, 0, -112, 40, 0, -560, 0, 0, 0, -124, -32, 20, 0, 92, 0, 192, -112, 120, 0, -84, 0, 92, 0, 80, 0, 0, 64, -64, 0, 312, 0, 0, 32, -184, 128, 0, 0, 152, 0, 44, 32, 0, 0, -148, 0, 420, 0, 168, 0, -104, -64, -344, 0, -4, 0, -152, 80, 244, 0, 0, 0, -120, 0, 48, -656, 0, -128, -268, 0, 0, 0, -544, -16, 120, -64, 0, 0, -52, 0, -296, 464, 564, 0, -96, 0, -456, 0, -84, -144, 408, -272, -508, 0, 0, 0, -624, -208, -840, 0, 0, 0, 156, 0, 0, -304, 296, 528, -40, 0, 0, 0, 284, 320, -24, -32, 484, 0, -224, 0, 136, 0, -48, -192, 256, 0, -452, 0, 0, 16, -104, 416, 624, 0, 0, 0, -616, 1216, 0, -96, 144, 0, 252, 0, 0, 0, -40, -64, 368, 0, -84, 0, 336, 336, 40, 0, -424, 0, -476, 0, 292, 0, 0, -112, 48, 0, -432, 0, 0, 240, 212, -128, 0, 0, 184, 0, 588, 80, 0, 0, 400, 0, 108, 0, 8, 0, -120, -416, 48, 0, 120, 0, -20, -48, 180, 0, 0, 0, -72, 0, -256, 384, 0, -192, 40, 0, 0, 0, 136, 160, 248, -80, 0, 0, -108, 0, -160, 112, 468, 0, 32, 0, -80, 0, 184, 192, -192, -32, -96, 0, 0, 0, 116, -48, 96, -272, 0, 0, -100, 0, 0, -80, -928, 64, -28, 0, 0, 0, -232, -160, -632, -320, -68, 0, 0, 0, 376, 0, -164, 0, -416, 0, -120, 0, 0, 528, -936, -304, 784, 0, 0, 0, -60, -256, 0, 400, 360, 0, -196, 0, 0, 0, 196, 224, -64, 0, 128, 0, -8, 0, -16, 0, 52, 0, 204, 0, 560, 0, 0, 0, 460, 0, 1000, 0, 0, -224, -192, 0, 0, 0, -464, 0, 64, -768, 0, 0, 192, 0, 52, 0, 36, 0, 432, -144, -152, 0, -348, 0, 652, 0, 240, 0, 0, 0, 104, 0, 424, -128, 0, 256, 36, 0, 0, 0, -320, 256, 424, -16, 0, 0, 228, 0, -268, -256, -16], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 449530
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 27, 'source_dim': 140, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '680.2.ba.b', 'source_level': 680, 'target_char_orbit': 27, 'target_dim': 140, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '680.2.ba.b', 'target_level': 680, 'twist_class_label': '680.2.ba.b', 'twist_class_level': 680, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 449531
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 27, 'source_dim': 140, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '680.2.ba.b', 'source_level': 680, 'target_char_orbit': 27, 'target_dim': 140, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '680.2.ba.b', 'target_level': 680, 'twist_class_label': '680.2.ba.b', 'twist_class_level': 680, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 449532
    {'conductor': 17, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 27, 'source_dim': 140, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '680.2.ba.b', 'source_level': 680, 'target_char_orbit': 27, 'target_dim': 140, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '680.2.ba.b', 'target_level': 680, 'twist_class_label': '680.2.ba.b', 'twist_class_level': 680, 'twisting_char_label': '17.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 449533
    {'conductor': 136, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 27, 'source_dim': 140, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '680.2.ba.b', 'source_level': 680, 'target_char_orbit': 27, 'target_dim': 140, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '680.2.ba.b', 'target_level': 680, 'twist_class_label': '680.2.ba.b', 'twist_class_level': 680, 'twisting_char_label': '136.i', 'twisting_char_orbit': 9, 'weight': 2}
• hecke_orbit_code 4505386367320744 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': 27, 'hecke_orbit': 2, 'label': '680.2.ba.b', 'level': 680, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25075255
    {'hecke_orbit_code': 4505386367320744, 'n': 1, 'trace_an': 140}
  • id: 25075256
    {'hecke_orbit_code': 4505386367320744, 'n': 2, 'trace_an': 0}
  • id: 25075257
    {'hecke_orbit_code': 4505386367320744, 'n': 3, 'trace_an': 0}
  • id: 25075258
    {'hecke_orbit_code': 4505386367320744, 'n': 4, 'trace_an': -8}
  • id: 25075259
    {'hecke_orbit_code': 4505386367320744, 'n': 5, 'trace_an': 0}
  • id: 25075260
    {'hecke_orbit_code': 4505386367320744, 'n': 6, 'trace_an': -4}
  • id: 25075261
    {'hecke_orbit_code': 4505386367320744, 'n': 7, 'trace_an': -12}
  • id: 25075262
    {'hecke_orbit_code': 4505386367320744, 'n': 8, 'trace_an': 0}
  • id: 25075263
    {'hecke_orbit_code': 4505386367320744, 'n': 9, 'trace_an': 0}
  • id: 25075264
    {'hecke_orbit_code': 4505386367320744, 'n': 10, 'trace_an': 0}
  • id: 25075265
    {'hecke_orbit_code': 4505386367320744, 'n': 11, 'trace_an': 0}
  • id: 25075266
    {'hecke_orbit_code': 4505386367320744, 'n': 12, 'trace_an': 20}
  • id: 25075267
    {'hecke_orbit_code': 4505386367320744, 'n': 13, 'trace_an': 0}
  • id: 25075268
    {'hecke_orbit_code': 4505386367320744, 'n': 14, 'trace_an': 28}
  • id: 25075269
    {'hecke_orbit_code': 4505386367320744, 'n': 15, 'trace_an': 0}
  • id: 25075270
    {'hecke_orbit_code': 4505386367320744, 'n': 16, 'trace_an': -24}
  • id: 25075271
    {'hecke_orbit_code': 4505386367320744, 'n': 17, 'trace_an': -16}
  • id: 25075272
    {'hecke_orbit_code': 4505386367320744, 'n': 18, 'trace_an': 0}
  • id: 25075273
    {'hecke_orbit_code': 4505386367320744, 'n': 19, 'trace_an': 0}
  • id: 25075274
    {'hecke_orbit_code': 4505386367320744, 'n': 20, 'trace_an': -8}
  • id: 25075275
    {'hecke_orbit_code': 4505386367320744, 'n': 21, 'trace_an': 0}
  • id: 25075276
    {'hecke_orbit_code': 4505386367320744, 'n': 22, 'trace_an': 40}
  • id: 25075277
    {'hecke_orbit_code': 4505386367320744, 'n': 23, 'trace_an': 4}
  • id: 25075278
    {'hecke_orbit_code': 4505386367320744, 'n': 24, 'trace_an': 48}
  • id: 25075279
    {'hecke_orbit_code': 4505386367320744, 'n': 25, 'trace_an': 0}
  • id: 25075280
    {'hecke_orbit_code': 4505386367320744, 'n': 26, 'trace_an': 0}
  • id: 25075281
    {'hecke_orbit_code': 4505386367320744, 'n': 27, 'trace_an': 0}
  • id: 25075282
    {'hecke_orbit_code': 4505386367320744, 'n': 28, 'trace_an': -20}
  • id: 25075283
    {'hecke_orbit_code': 4505386367320744, 'n': 29, 'trace_an': 0}
  • id: 25075284
    {'hecke_orbit_code': 4505386367320744, 'n': 30, 'trace_an': 0}
  • id: 25075285
    {'hecke_orbit_code': 4505386367320744, 'n': 31, 'trace_an': 28}
  • id: 25075286
    {'hecke_orbit_code': 4505386367320744, 'n': 32, 'trace_an': 0}
  • id: 25075287
    {'hecke_orbit_code': 4505386367320744, 'n': 33, 'trace_an': 0}
  • id: 25075288
    {'hecke_orbit_code': 4505386367320744, 'n': 34, 'trace_an': -8}
  • id: 25075289
    {'hecke_orbit_code': 4505386367320744, 'n': 35, 'trace_an': 0}
  • id: 25075290
    {'hecke_orbit_code': 4505386367320744, 'n': 36, 'trace_an': 0}
  • id: 25075291
    {'hecke_orbit_code': 4505386367320744, 'n': 37, 'trace_an': 0}
  • id: 25075292
    {'hecke_orbit_code': 4505386367320744, 'n': 38, 'trace_an': -56}
  • id: 25075293
    {'hecke_orbit_code': 4505386367320744, 'n': 39, 'trace_an': 0}
  • id: 25075294
    {'hecke_orbit_code': 4505386367320744, 'n': 40, 'trace_an': 24}
  • id: 25075295
    {'hecke_orbit_code': 4505386367320744, 'n': 41, 'trace_an': 44}
  • id: 25075296
    {'hecke_orbit_code': 4505386367320744, 'n': 42, 'trace_an': 0}
  • id: 25075297
    {'hecke_orbit_code': 4505386367320744, 'n': 43, 'trace_an': 0}
  • id: 25075298
    {'hecke_orbit_code': 4505386367320744, 'n': 44, 'trace_an': 28}
  • id: 25075299
    {'hecke_orbit_code': 4505386367320744, 'n': 45, 'trace_an': 0}
  • id: 25075300
    {'hecke_orbit_code': 4505386367320744, 'n': 46, 'trace_an': -40}
  • id: 25075301
    {'hecke_orbit_code': 4505386367320744, 'n': 47, 'trace_an': -120}
  • id: 25075302
    {'hecke_orbit_code': 4505386367320744, 'n': 48, 'trace_an': 32}
  • id: 25075303
    {'hecke_orbit_code': 4505386367320744, 'n': 49, 'trace_an': 0}
  • id: 25075304
    {'hecke_orbit_code': 4505386367320744, 'n': 50, 'trace_an': 0}
  • id: 25075305
    {'hecke_orbit_code': 4505386367320744, 'n': 51, 'trace_an': 0}
  • id: 25075306
    {'hecke_orbit_code': 4505386367320744, 'n': 52, 'trace_an': -48}
  • id: 25075307
    {'hecke_orbit_code': 4505386367320744, 'n': 53, 'trace_an': 0}
  • id: 25075308
    {'hecke_orbit_code': 4505386367320744, 'n': 54, 'trace_an': -4}
  • id: 25075309
    {'hecke_orbit_code': 4505386367320744, 'n': 55, 'trace_an': 16}
  • id: 25075310
    {'hecke_orbit_code': 4505386367320744, 'n': 56, 'trace_an': 16}
  • id: 25075311
    {'hecke_orbit_code': 4505386367320744, 'n': 57, 'trace_an': -16}
  • id: 25075312
    {'hecke_orbit_code': 4505386367320744, 'n': 58, 'trace_an': -52}
  • id: 25075313
    {'hecke_orbit_code': 4505386367320744, 'n': 59, 'trace_an': 0}
  • id: 25075314
    {'hecke_orbit_code': 4505386367320744, 'n': 60, 'trace_an': 0}
  • id: 25075315
    {'hecke_orbit_code': 4505386367320744, 'n': 61, 'trace_an': 0}
  • id: 25075316
    {'hecke_orbit_code': 4505386367320744, 'n': 62, 'trace_an': -72}
  • id: 25075317
    {'hecke_orbit_code': 4505386367320744, 'n': 63, 'trace_an': 44}
  • id: 25075318
    {'hecke_orbit_code': 4505386367320744, 'n': 64, 'trace_an': -104}
  • id: 25075319
    {'hecke_orbit_code': 4505386367320744, 'n': 65, 'trace_an': 0}
  • id: 25075320
    {'hecke_orbit_code': 4505386367320744, 'n': 66, 'trace_an': 0}
  • id: 25075321
    {'hecke_orbit_code': 4505386367320744, 'n': 67, 'trace_an': 0}
  • id: 25075322
    {'hecke_orbit_code': 4505386367320744, 'n': 68, 'trace_an': 8}
  • id: 25075323
    {'hecke_orbit_code': 4505386367320744, 'n': 69, 'trace_an': 0}
  • id: 25075324
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  • id: 25075325
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  • id: 25075326
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  • id: 25075327
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  • id: 25075328
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  • id: 25075329
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  • id: 25075330
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  • id: 25075331
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  • id: 25075332
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  • id: 25075333
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  • id: 25075334
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  • id: 25075335
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  • id: 25075336
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  • id: 25075337
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  • id: 25075338
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  • id: 25075339
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  • id: 25075340
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  • id: 25075341
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  • id: 25075342
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  • id: 25075343
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  • id: 25075344
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  • id: 25075345
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  • id: 25075346
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  • id: 25075347
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  • id: 25075348
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  • id: 25075349
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  • id: 25075350
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  • id: 25075351
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  • id: 25075352
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  • id: 25075353
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  • id: 25075354
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  • id: 25075355
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  • id: 25075356
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  • id: 25075357
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  • id: 25075358
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  • id: 25075359
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  • id: 25075360
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  • id: 25075361
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  • id: 25075362
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  • id: 25075363
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  • id: 25075365
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  • id: 25075366
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  • id: 25075367
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  • id: 25075368
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  • id: 25075369
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  • id: 25075370
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  • id: 25075371
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  • id: 25075372
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  • id: 25075373
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  • id: 25075374
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  • id: 25075375
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  • id: 25075376
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  • id: 25075377
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  • id: 25075378
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  • id: 25075379
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  • id: 25075380
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  • id: 25075381
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  • id: 25075383
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  • id: 25075384
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  • id: 25075385
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  • id: 25075386
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  • id: 25075387
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  • id: 25075388
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  • id: 25075389
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  • id: 25075390
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  • id: 25075391
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  • id: 25075392
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  • id: 25075393
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  • id: 25075394
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  • id: 25075395
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  • id: 25075396
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  • id: 25075397
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  • id: 25075398
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  • id: 25075399
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  • id: 25075400
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  • id: 25075401
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  • id: 25075402
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  • id: 25075403
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  • id: 25075404
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  • id: 25075405
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  • id: 25075406
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  • id: 25075407
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  • id: 25075408
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  • id: 25075409
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  • id: 25075410
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  • id: 25075411
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  • id: 25075412
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  • id: 25075413
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  • id: 25075414
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  • id: 25075415
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  • id: 25075416
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  • id: 25075417
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  • id: 25075418
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  • id: 25075419
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  • id: 25075420
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  • id: 25075421
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  • id: 25075422
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  • id: 25075423
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  • id: 25075424
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  • id: 25075425
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  • id: 25075426
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  • id: 25075427
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  • id: 25075428
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  • id: 25075429
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  • id: 25075430
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  • id: 25075431
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  • id: 25075432
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  • id: 25075433
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  • id: 25075434
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  • id: 25075435
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  • id: 25075436
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  • id: 25075437
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  • id: 25075438
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  • id: 25075439
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  • id: 25075440
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  • id: 25075441
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  • id: 25075442
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  • id: 25075443
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  • id: 25075444
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  • id: 25075445
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  • id: 25075446
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  • id: 25075447
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  • id: 25075448
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  • id: 25075449
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  • id: 25075450
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  • id: 25075451
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  • id: 25075452
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  • id: 25075453
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  • id: 25075454
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  • id: 25075455
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  • id: 25075456
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  • id: 25075457
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  • id: 25075458
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  • id: 25075459
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  • id: 25075460
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  • id: 25075461
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  • id: 25075462
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  • id: 25075463
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  • id: 25075464
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  • id: 25075465
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  • id: 25075466
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  • id: 25075467
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  • id: 25075468
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  • id: 25075469
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  • id: 25075470
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  • id: 25075471
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  • id: 25075472
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  • id: 25075473
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  • id: 25075474
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  • id: 25075475
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  • id: 25075476
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  • id: 25075477
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  • id: 25075478
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  • id: 25075479
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  • id: 25075480
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  • id: 25075481
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  • id: 25075482
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  • id: 25075483
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  • id: 25075484
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  • id: 25075485
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  • id: 25075486
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  • id: 25075487
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  • id: 25075488
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  • id: 25075489
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  • id: 25075490
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  • id: 25075491
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  • id: 25075492
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  • id: 25075493
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  • id: 25075494
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  • id: 25075495
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  • id: 25075496
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  • id: 25075497
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  • id: 25075498
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  • id: 25075499
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  • id: 25075500
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  • id: 25075501
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  • id: 25075502
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  • id: 25075503
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  • id: 25075505
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  • id: 25075506
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  • id: 25075507
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  • id: 25075508
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  • id: 25075509
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  • id: 25075510
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  • id: 25075511
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  • id: 25075512
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