Embedded newform data - 2548.2.bq.g.361.5

Formats: - HTML - YAML - JSON - 2026-02-23T18:35:33.419098

• 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': 10192, 'analytic_conductor': 20.345882435022244, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 91, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 43, 'char_orbit_label': 'bq', 'char_order': 6, 'char_parity': 1, 'char_values': [2548, 6, [1275, 885, 197], [6, 4, 5]], 'cm_discs': [], 'conrey_index': 361, 'dim': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [100, 0, -508, 0, 837, 0, -572, 0, 171, 0, -22, 0, 1]]], 'hecke_orbit': 7, 'hecke_orbit_code': 27024484015802868, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 2, -1, 2, 0], [1, 1, 91, 16, -1, 6, 0], [1, 1, 91, 21, 1, 6, 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': '2548.2.bq.g', 'level': 2548, '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, 7, 13], 'level_radical': 182, 'minimal_twist': '2548.2.u.f', 'prim_orbit_index': 21, 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2548.2.bq', 'trace_display': [0, 0, 0, 0], 'traces': [24, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -40, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 24, 0, -8, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -48, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 84, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 128, 0, 180, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -60, 0, 60, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 204, 0, 8, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -168, 0, -32, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -36, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -148, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 128, 0, -104, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -204, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, -24, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 256, 0, 120, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -144, 0, 36, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 216, 0, -176, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 136, 0, -56, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 60, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -308, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 136, 0, -128, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -132, 0, -140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 84, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 528, 0, 204, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, -252, 0, -180, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, -348, 0, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 156, 0, -440, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 72, 0, -116, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -216, 0, 92, 0, 0, 0, -116, 0, 0, 0, 0, 0, 0, 0, -156, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -172, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 96, 0, -256, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, -252, 0, -204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 132, 0, 336, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 448, 0, 396, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, -444, 0, 300, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, -228, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 420, 0, 72, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 300, 0, 0, 0, 0, 0, 0, 0, 160, 0, -160, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 180, 0, -104, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 16, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 136, 0, -272, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -168, 0, -172, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 228, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 696, 0, 348, 0, 0, 0, 124, 0, 0, 0, 0, 0, 0, 0, -264, 0, -24, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 240, 0, -256, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140, 0, 144, 0, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, -240, 0, -40, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, -64, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -396, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 208, 0, 160, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -432, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 388, 0, -72, 0, 0, 0, -260, 0, 0, 0, 0, 0, 0, 0, 384, 0, 396, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -252, 0, 96, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, 344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 188, 0, 0, 0, 0, 0, 0, 0, 360, 0, -136, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 184, 0, -136, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, -24, 0, 228, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, -52, 0, 284, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 328, 0, -200, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -360, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 204, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 576, 0, 420, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -180, 0, 336, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -204, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, -148, 0, 0, 0, 0, 0, 0, 0, 264, 0, -24, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, 184, 0, -140, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -216, 0, -120, 0, 0, 0, -220, 0, 0, 0, 0, 0, 0, 0, -216, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, -300, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 792, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 664, 0, 420, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -156, 0, -132, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 204, 0, 0, 0, 0, 0, 0, 0, 660, 0, -144, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 360, 0, -4, 0, 0, 0, 188, 0, 0, 0, 0, 0, 0, 0, 60, 0, 144, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, -164, 0, 220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -504, 0, 0, 0, 0, 0, -276, 0, 0, 0, 0, 0, 0, 0, 180, 0, 64, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -276, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92, 0, 120, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 832, 0, 552, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, -480, 0, 348, 0, 0, 0, -552, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, 96, 0, -464, 0, 0, 0, -544, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, -360, 0, 260, 0, 0, 0, -124, 0, 0, 0, 0, 0, 0, 0, -292, 0, 252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -36, 0, 160, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, -260, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, -132, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 128, 0, 360, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -240, 0, 60, 0, 0, 0, 684, 0, 0, 0, 0, 0, 0, 0, 0, 0, -300, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 180, 0, 272, 0, 0, 0, 296, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 420, 0, 0, 0, 0, 0, 0, 0, 232, 0, -188, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 156, 0, -156, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 40, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -632, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 252, 0, -512, 0, 0, 0, -540, 0, 0, 0, 0, 0, 0, 0, 24, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 336, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 480, 0, 24, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 72, 0, 264, 0, 0, 0, -456, 0, 0, 0, 0, 0, 0, 0, 0, 0, -228, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 348, 0, -224, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-0.5203077829832119, 0.0], [0.0, 0.0], [0.6540879208248748, -0.37763783716192406], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7292798109670949, 0.0], [0.0, 0.0], [0.0, 0.3738828194636635], [0.0, 0.0], [-0.9211649836004062, -0.3891722921643618], [0.0, 0.0], [-0.3403270359604892, 0.19648790582429587], [0.0, 0.0], [-0.4371919017197105, -0.7572385864361978], [0.0, 0.0], [0.0, 1.7087804123867498], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8729433501045021, -1.511982234510384], [0.0, 0.0], [-0.21477932788732826, 0.3720087083163476], [0.0, 0.0], [0.8997577446019168, 0.0], [0.0, 0.0], [0.5742757428611225, 0.994674764189824], [0.0, 0.0], [-0.20380083925164463, -0.11766446940300869], [0.0, 0.0], [0.0, -0.19453414089065119], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.4637346922191483, 0.8450876185749193], [0.0, 0.0], [0.47928931037889405, 0.20248937253453386], [0.0, 0.0], [-0.21988225734745462, 0.12694908046957548], [0.0, 0.0], [-0.7290055309297575, 1.2626746185690645], [0.0, 0.0], [-0.4770131152550248, 0.2754036504994706], [0.0, 0.0], [1.508750140226758, -0.8710772995998044], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.22747434912199682, 0.39399713009795934], [0.0, 0.0], [-0.6804449937981681, 1.178565301014317], [0.0, 0.0], [0.14119229929426, 0.24455223601512965], [0.0, 0.0], [0.0, -0.8890917479740883], [0.0, 0.0], [0.5353498250970835, -0.30908436563042024], [0.0, 0.0], [1.5869278761257257, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7494890715561675, 0.09331385665171855], [0.0, 0.0], [0.0, 0.6625234648468034], [0.0, 0.0], [-0.4541992191628112, 0.7866961243481007], [0.0, 0.0], [0.4629344281805582, 0.26727531672719074], [0.0, 0.0], [-0.5174576236730419, -0.2987542983218548], [0.0, 0.0], [0.11175135592368009, -0.19355902627452715], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.34999438413306844, 0.6062080556822531], [0.0, 0.0], [0.2611288536512966, 0.0], [0.0, 0.0], [0.0, -1.913447535654738], [0.0, 0.0], [-0.5719238839946369, 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0.03251846321667169, -0.43185231646296013, 0.07828297291477256, 0.12278974251437758, -0.22295547366595955, -0.428389889712049, 0.08966639992107556, -0.1960540564920906, -0.3270190945379977, -0.24629230615103373, -0.18080047888964698, 0.3470388161227085, -0.45230291306269704, -0.3765240914207299, -0.20764679046892454, 0.10666914557760149, -0.21263786990951153, -0.3048322253751213, -0.004538257443124623, -0.4996377092284354, -0.34841460295562293, -0.4895460181848653, -0.11800359131533328, -0.22002352505121794, -0.4314447997269769, -0.0995218489996962, -0.45529804188600087, -0.1743369998784673, 0.11067927171703933, -0.3852957578268389, -0.10654296406264456, -0.014505539203700584, -0.012800311414786367, -0.36591753252333153, 0.006438399058643987, -0.07918876600298595, 0.08322622469457015, -0.1560042864779591, 0.1009961854324422, -0.4421847840147909, -0.045041678381211106, -0.20148854557063298, -0.08617614943736221, -0.22403811895391154, -0.38868801737399505, -0.32293682520513217, 0.048794711335464064, -0.17970139168206642, -0.13971299469327741, -0.07395076400515221, -0.18412043281058446, 0.024307674485562147, -0.1670821729675754, -0.29685455558581075, -0.12830979057692932, 0.17428309563372288, -0.20480131313427596, 0.07897594215100169, -0.18701209672185523, -0.2523804871778081, -0.4450789060930011, -0.146333750251448, -0.2659464201206658, -0.3169367606517728, -0.15873751692663196, -0.3667168611871036, -0.38394646086551504, -0.43527402437018947, -0.39783387548445936, -0.13495532292352744, -0.024516517777644162, -0.1869271978701948, -0.05776375967860248, -0.3595149732320535, -0.2866857771798032, -0.4481347370287242, -0.1076517078601494, -0.3608784248995224, -0.422433706249802, -0.2289219499153394, -0.3338260822346898, -0.27466441558320653], 'char_orbit_index': 43, 'conrey_index': 361, 'dual_conrey_index': 1941, 'dual_embedding_index': 5, 'dual_embedding_m': 17, 'embedding_index': 5, 'embedding_m': 5, 'hecke_orbit': 7, 'hecke_orbit_code': 27024484015802868, 'label': '2548.2.bq.g.361.5', 'level': 2548, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 10192, 'analytic_conductor': 20.345882435022244, 'char_conductor': 91, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 43, 'char_orbit_label': 'bq', 'char_order': 6, 'char_parity': 1, 'char_values': [2548, 6, [1275, 885, 197], [6, 4, 5]], 'conrey_index': 361, 'cusp_dim': 736, 'dim': 94, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 2886251579892, 'hecke_orbit_dims': [2, 2, 16, 16, 16, 18, 24], 'label': '2548.2.bq', 'level': 2548, '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, 7, 13], 'level_radical': 182, 'mf_dim': 832, 'mf_new_dim': 94, 'num_forms': 7, 'prim_orbit_index': 21, 'relative_dim': 47, 'sturm_bound': 784, 'trace_bound': 13, 'trace_display': [0, 2, 0, 0], 'traces': [94, 0, 2, 0, 0, 0, 0, 0, 104, 0, 0, 0, 4, 0, -12, 0, 10, 0, 0, 0, 0, 0, 12, 0, 53, 0, 20, 0, -2, 0, -9, 0, 0, 0, 0, 0, 24, 0, 1, 0, 9, 0, 6, 0, -30, 0, -36, 0, 0, 0, -6, 0, -9, 0, 1, 0, 0, 0, 0, 0, 42, 0, 0, 0, -22, 0, 0, 0, 1, 0, 57, 0, 33, 0, -25, 0, 0, 0, -10, 0, 126, 0, 0, 0, 36, 0, -2, 0, 9, 0, 0, 0, -45, 0, -40, 0, 18, 0, 0, 0, -26, 0, 26, 0, 0, 0, 20, 0, 132, 0, -12, 0, 16, 0, 0, 0, 65, 0, 0, 0, -22, 0, 15, 0, 0, 0, -31, 0, 30, 0, -35, 0, 0, 0, -24, 0, 18, 0, -2, 0, -33, 0, 17, 0, 54, 0, 0, 0, 0, 0, 42, 0, 17, 0, -36, 0, -17, 0, -16, 0, 0, 0, 0, 0, 9, 0, -36, 0, -66, 0, 0, 0, -134, 0, 0, 0, 60, 0, -24, 0, -86, 0, 38, 0, 80, 0, 39, 0, 0, 0, -74, 0, 0, 0, -22, 0, -54, 0, 24, 0, 0, 0, 0, 0, -4, 0, 3, 0, 24, 0, -75, 0, -69, 0, 0, 0, 0, 0, 3, 0, -111, 0, -30, 0, 174, 0, -99, 0, -81, 0, 0, 0, -26, 0, -13, 0, -34, 0, 0, 0, -27, 0, 42, 0, 0, 0, 3, 0, 0, 0, 14, 0, 195, 0, 66, 0, -22, 0, 0, 0, 51, 0, -56, 0, 0, 0, 18, 0, -54, 0, 54, 0, 0, 0, -6, 0, -23, 0, 126, 0, 0, 0, 108, 0, 70, 0, 0, 0, -9, 0, 87, 0, 93, 0, -69, 0, 0, 0, 117, 0, 0, 0, 104, 0, 90, 0, 0, 0, -64, 0, -21, 0, -44, 0, 0, 0, -36, 0, 33, 0, -42, 0, 30, 0, -36, 0, 75, 0, 0, 0, 0, 0, 18, 0, -31, 0, -200, 0, -70, 0, -101, 0, 0, 0, 0, 0, 43, 0, 72, 0, -142, 0, 0, 0, -232, 0, 0, 0, 159, 0, -120, 0, 38, 0, 158, 0, 32, 0, 195, 0, 0, 0, 132, 0, 0, 0, 1, 0, -180, 0, 103, 0, 0, 0, 0, 0, -43, 0, 14, 0, 30, 0, -34, 0, 12, 0, 0, 0, 0, 0, 33, 0, -61, 0, -9, 0, 122, 0, -180, 0, -174, 0, 0, 0, -56, 0, 39, 0, -14, 0, 0, 0, -54, 0, 130, 0, 0, 0, -90, 0, 0, 0, 53, 0, 336, 0, 156, 0, -110, 0, 0, 0, 27, 0, -208, 0, 0, 0, 258, 0, -21, 0, 36, 0, 0, 0, 159, 0, -12, 0, -111, 0, 0, 0, 168, 0, 30, 0, 0, 0, -187, 0, 12, 0, -33, 0, -166, 0, 0, 0, 163, 0, 0, 0, -4, 0, -102, 0, 0, 0, 7, 0, 58, 0, -139, 0, 0, 0, -225, 0, -249, 0, 21, 0, -153, 0, -33, 0, 132, 0, 0, 0, 0, 0, -393, 0, -22, 0, -152, 0, -103, 0, -44, 0, 0, 0, 0, 0, -59, 0, -138, 0, -151, 0, 0, 0, -442, 0, 0, 0, -357, 0, -52, 0, -18, 0, 74, 0, 102, 0, 204, 0, 0, 0, -100, 0, 0, 0, -44, 0, -522, 0, 114, 0, 0, 0, 0, 0, 207, 0, -112, 0, -72, 0, -121, 0, -162, 0, 0, 0, 0, 0, -234, 0, 183, 0, -141, 0, 97, 0, -258, 0, -135, 0, 0, 0, -18, 0, 96, 0, -3, 0, 0, 0, -66, 0, 92, 0, 0, 0, -170, 0, 0, 0, -8, 0, 375, 0, 81, 0, -111, 0, 0, 0, -79, 0, -574, 0, 0, 0, 42, 0, -72, 0, 141, 0, 0, 0, 75, 0, 55, 0, 159, 0, 0, 0, 72, 0, 78, 0, 0, 0, -8, 0, -132, 0, -12, 0, 13, 0, 0, 0, 266, 0, 0, 0, 30, 0, 354, 0, 0, 0, -59, 0, 76, 0, -97, 0, 0, 0, 168, 0, 168, 0, -41, 0, -591, 0, 81, 0, 228, 0, 0, 0, 0, 0, 48, 0, -57, 0, -176, 0, -32, 0, -132, 0, 0, 0, 0, 0, 93, 0, 102, 0, -437, 0, 0, 0, -272, 0, 0, 0, 216, 0, 74, 0, 124, 0, 416, 0, 200, 0, 225, 0, 0, 0, 296, 0, 0, 0, -58, 0, -15, 0, 144, 0, 0, 0, 0, 0, -35, 0, -132, 0, 188, 0, 48, 0, -336, 0, 0, 0, 0, 0, -30, 0, 168, 0, 30, 0, 394, 0, -180, 0, -318, 0, 0, 0, -87, 0, -69, 0, 90, 0, 0, 0, -72, 0, 210, 0, 0, 0, -149, 0, 0, 0, 111, 0, 249, 0, 183, 0, -107, 0, 0, 0, -46, 0, 326, 0, 0, 0, -81, 0, -89, 0, -162, 0, 0, 0, 75, 0, -207, 0, 21, 0, 0, 0, 194, 0, 69, 0, 0, 0, 77, 0, -525, 0, 0, 0, -173, 0, 0, 0, 308, 0, 0, 0, -130, 0, 366, 0, 0, 0, -458, 0, 29, 0, -168, 0, 0, 0, -36, 0, 51, 0, 14, 0, 456, 0, 6, 0, 198, 0, 0, 0, 0, 0, 156, 0, 91, 0, -214, 0, -39, 0, 7, 0, 0, 0, 0, 0, 23, 0, -168, 0, -548, 0, 0, 0, -428, 0, 0, 0, -45, 0, -212, 0, -150, 0, 450, 0, 106, 0, 222, 0, 0, 0, -406, 0, 0, 0, -152, 0, -234, 0, 160, 0, 0, 0, 0, 0, -141, 0, -145, 0, -36, 0, -323, 0, -78, 0, 0, 0, 0, 0, -153, 0, -206, 0, -84, 0, 102, 0, -420, 0, -330, 0, 0, 0, 276, 0, 89, 0, -165, 0, 0, 0, 42, 0, 270, 0, 0, 0, 291, 0, 0, 0, -25, 0, 963, 0, 132, 0, -145, 0, 0, 0, -5, 0, -18, 0, 0, 0, 153, 0, -5, 0, 225, 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: 46012325
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 24, 'source_embedding_index': 5, 'source_hecke_orbit_code': 27024484015802868, 'source_is_minimal': False, 'source_label': '2548.2.bq.g.361.5', 'source_level': 2548, 'target_conrey_index': 361, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 27024484015802868, 'target_is_minimal': False, 'target_label': '2548.2.bq.g.361.5', 'target_level': 2548, 'twist_class_label': '2548.2.u.f.589.5', 'twist_class_level': 2548, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46012326
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 24, 'source_embedding_index': 5, 'source_hecke_orbit_code': 27024484015802868, 'source_is_minimal': False, 'source_label': '2548.2.bq.g.361.5', 'source_level': 2548, 'target_conrey_index': 569, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 27023453223651828, 'target_is_minimal': False, 'target_label': '2548.2.bb.g.569.8', 'target_level': 2548, 'twist_class_label': '2548.2.u.f.589.5', 'twist_class_level': 2548, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46012327
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 361, 'source_dim': 24, 'source_embedding_index': 5, 'source_hecke_orbit_code': 27024484015802868, 'source_is_minimal': False, 'source_label': '2548.2.bq.g.361.5', 'source_level': 2548, 'target_conrey_index': 1765, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 22519372559944180, 'target_is_minimal': True, 'target_label': '2548.2.u.f.1765.5', 'target_level': 2548, 'twist_class_label': '2548.2.u.f.589.5', 'twist_class_level': 2548, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46012328
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 24, 'source_embedding_index': 5, 'source_hecke_orbit_code': 27024484015802868, 'source_is_minimal': False, 'source_label': '2548.2.bq.g.361.5', 'source_level': 2548, 'target_conrey_index': 1765, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 22519372559944180, 'target_is_minimal': True, 'target_label': '2548.2.u.f.1765.8', 'target_level': 2548, 'twist_class_label': '2548.2.u.f.589.5', 'twist_class_level': 2548, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46012329
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 361, 'source_dim': 24, 'source_embedding_index': 5, 'source_hecke_orbit_code': 27024484015802868, 'source_is_minimal': False, 'source_label': '2548.2.bq.g.361.5', 'source_level': 2548, 'target_conrey_index': 569, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 27023453223651828, 'target_is_minimal': False, 'target_label': '2548.2.bb.g.569.5', 'target_level': 2548, 'twist_class_label': '2548.2.u.f.589.5', 'twist_class_level': 2548, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46012330
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 361, 'source_dim': 24, 'source_embedding_index': 5, 'source_hecke_orbit_code': 27024484015802868, 'source_is_minimal': False, 'source_label': '2548.2.bq.g.361.5', 'source_level': 2548, 'target_conrey_index': 361, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 27024484015802868, 'target_is_minimal': False, 'target_label': '2548.2.bq.g.361.8', 'target_level': 2548, 'twist_class_label': '2548.2.u.f.589.5', 'twist_class_level': 2548, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 46012331
    {'conductor': 13, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 24, 'source_embedding_index': 5, 'source_hecke_orbit_code': 27024484015802868, 'source_is_minimal': False, 'source_label': '2548.2.bq.g.361.5', 'source_level': 2548, 'target_conrey_index': 1733, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 27023453223651828, 'target_is_minimal': False, 'target_label': '2548.2.bb.g.1733.8', 'target_level': 2548, 'twist_class_label': '2548.2.u.f.589.5', 'twist_class_level': 2548, 'twisting_char_label': '13.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46012332
    {'conductor': 91, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 24, 'source_embedding_index': 5, 'source_hecke_orbit_code': 27024484015802868, 'source_is_minimal': False, 'source_label': '2548.2.bq.g.361.5', 'source_level': 2548, 'target_conrey_index': 589, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 22519372559944180, 'target_is_minimal': True, 'target_label': '2548.2.u.f.589.8', 'target_level': 2548, 'twist_class_label': '2548.2.u.f.589.5', 'twist_class_level': 2548, 'twisting_char_label': '91.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46012333
    {'conductor': 91, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 361, 'source_dim': 24, 'source_embedding_index': 5, 'source_hecke_orbit_code': 27024484015802868, 'source_is_minimal': False, 'source_label': '2548.2.bq.g.361.5', 'source_level': 2548, 'target_conrey_index': 589, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 22519372559944180, 'target_is_minimal': True, 'target_label': '2548.2.u.f.589.5', 'target_level': 2548, 'twist_class_label': '2548.2.u.f.589.5', 'twist_class_level': 2548, 'twisting_char_label': '91.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 46012334
    {'conductor': 91, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 24, 'source_embedding_index': 5, 'source_hecke_orbit_code': 27024484015802868, 'source_is_minimal': False, 'source_label': '2548.2.bq.g.361.5', 'source_level': 2548, 'target_conrey_index': 1941, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 27024484015802868, 'target_is_minimal': False, 'target_label': '2548.2.bq.g.1941.5', 'target_level': 2548, 'twist_class_label': '2548.2.u.f.589.5', 'twist_class_level': 2548, 'twisting_char_label': '91.30', 'twisting_conrey_index': 30, 'weight': 2}
  • id: 46012335
    {'conductor': 91, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 361, 'source_dim': 24, 'source_embedding_index': 5, 'source_hecke_orbit_code': 27024484015802868, 'source_is_minimal': False, 'source_label': '2548.2.bq.g.361.5', 'source_level': 2548, 'target_conrey_index': 1733, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 27023453223651828, 'target_is_minimal': False, 'target_label': '2548.2.bb.g.1733.5', 'target_level': 2548, 'twist_class_label': '2548.2.u.f.589.5', 'twist_class_level': 2548, 'twisting_char_label': '91.69', 'twisting_conrey_index': 69, 'weight': 2}
  • id: 46012336
    {'conductor': 91, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 361, 'source_dim': 24, 'source_embedding_index': 5, 'source_hecke_orbit_code': 27024484015802868, 'source_is_minimal': False, 'source_label': '2548.2.bq.g.361.5', 'source_level': 2548, 'target_conrey_index': 1941, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 27024484015802868, 'target_is_minimal': False, 'target_label': '2548.2.bq.g.1941.8', 'target_level': 2548, 'twist_class_label': '2548.2.u.f.589.5', 'twist_class_level': 2548, 'twisting_char_label': '91.82', 'twisting_conrey_index': 82, 'weight': 2}
• hecke_orbit_code 27024484015802868 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': 43, 'hecke_orbit': 7, 'label': '2548.2.bq.g', 'level': 2548, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 47764807
    {'hecke_orbit_code': 27024484015802868, 'n': 1, 'trace_an': 24}
  • id: 47764808
    {'hecke_orbit_code': 27024484015802868, 'n': 2, 'trace_an': 0}
  • id: 47764809
    {'hecke_orbit_code': 27024484015802868, 'n': 3, 'trace_an': 0}
  • id: 47764810
    {'hecke_orbit_code': 27024484015802868, 'n': 4, 'trace_an': 0}
  • id: 47764811
    {'hecke_orbit_code': 27024484015802868, 'n': 5, 'trace_an': 0}
  • id: 47764812
    {'hecke_orbit_code': 27024484015802868, 'n': 6, 'trace_an': 0}
  • id: 47764813
    {'hecke_orbit_code': 27024484015802868, 'n': 7, 'trace_an': 0}
  • id: 47764814
    {'hecke_orbit_code': 27024484015802868, 'n': 8, 'trace_an': 0}
  • id: 47764815
    {'hecke_orbit_code': 27024484015802868, 'n': 9, 'trace_an': 16}
  • id: 47764816
    {'hecke_orbit_code': 27024484015802868, 'n': 10, 'trace_an': 0}
  • id: 47764817
    {'hecke_orbit_code': 27024484015802868, 'n': 11, 'trace_an': 0}
  • id: 47764818
    {'hecke_orbit_code': 27024484015802868, 'n': 12, 'trace_an': 0}
  • id: 47764819
    {'hecke_orbit_code': 27024484015802868, 'n': 13, 'trace_an': 0}
  • id: 47764820
    {'hecke_orbit_code': 27024484015802868, 'n': 14, 'trace_an': 0}
  • id: 47764821
    {'hecke_orbit_code': 27024484015802868, 'n': 15, 'trace_an': -12}
  • id: 47764822
    {'hecke_orbit_code': 27024484015802868, 'n': 16, 'trace_an': 0}
  • id: 47764823
    {'hecke_orbit_code': 27024484015802868, 'n': 17, 'trace_an': 0}
  • id: 47764824
    {'hecke_orbit_code': 27024484015802868, 'n': 18, 'trace_an': 0}
  • id: 47764825
    {'hecke_orbit_code': 27024484015802868, 'n': 19, 'trace_an': 0}
  • id: 47764826
    {'hecke_orbit_code': 27024484015802868, 'n': 20, 'trace_an': 0}
  • id: 47764827
    {'hecke_orbit_code': 27024484015802868, 'n': 21, 'trace_an': 0}
  • id: 47764828
    {'hecke_orbit_code': 27024484015802868, 'n': 22, 'trace_an': 0}
  • id: 47764829
    {'hecke_orbit_code': 27024484015802868, 'n': 23, 'trace_an': 16}
  • id: 47764830
    {'hecke_orbit_code': 27024484015802868, 'n': 24, 'trace_an': 0}
  • id: 47764831
    {'hecke_orbit_code': 27024484015802868, 'n': 25, 'trace_an': 0}
  • id: 47764832
    {'hecke_orbit_code': 27024484015802868, 'n': 26, 'trace_an': 0}
  • id: 47764833
    {'hecke_orbit_code': 27024484015802868, 'n': 27, 'trace_an': 0}
  • id: 47764834
    {'hecke_orbit_code': 27024484015802868, 'n': 28, 'trace_an': 0}
  • id: 47764835
    {'hecke_orbit_code': 27024484015802868, 'n': 29, 'trace_an': 24}
  • id: 47764836
    {'hecke_orbit_code': 27024484015802868, 'n': 30, 'trace_an': 0}
  • id: 47764837
    {'hecke_orbit_code': 27024484015802868, 'n': 31, 'trace_an': 0}
  • id: 47764838
    {'hecke_orbit_code': 27024484015802868, 'n': 32, 'trace_an': 0}
  • id: 47764839
    {'hecke_orbit_code': 27024484015802868, 'n': 33, 'trace_an': 0}
  • id: 47764840
    {'hecke_orbit_code': 27024484015802868, 'n': 34, 'trace_an': 0}
  • id: 47764841
    {'hecke_orbit_code': 27024484015802868, 'n': 35, 'trace_an': 0}
  • id: 47764842
    {'hecke_orbit_code': 27024484015802868, 'n': 36, 'trace_an': 0}
  • id: 47764843
    {'hecke_orbit_code': 27024484015802868, 'n': 37, 'trace_an': 0}
  • id: 47764844
    {'hecke_orbit_code': 27024484015802868, 'n': 38, 'trace_an': 0}
  • id: 47764845
    {'hecke_orbit_code': 27024484015802868, 'n': 39, 'trace_an': 20}
  • id: 47764846
    {'hecke_orbit_code': 27024484015802868, 'n': 40, 'trace_an': 0}
  • id: 47764847
    {'hecke_orbit_code': 27024484015802868, 'n': 41, 'trace_an': 0}
  • id: 47764848
    {'hecke_orbit_code': 27024484015802868, 'n': 42, 'trace_an': 0}
  • id: 47764849
    {'hecke_orbit_code': 27024484015802868, 'n': 43, 'trace_an': 4}
  • id: 47764850
    {'hecke_orbit_code': 27024484015802868, 'n': 44, 'trace_an': 0}
  • id: 47764851
    {'hecke_orbit_code': 27024484015802868, 'n': 45, 'trace_an': 0}
  • id: 47764852
    {'hecke_orbit_code': 27024484015802868, 'n': 46, 'trace_an': 0}
  • id: 47764853
    {'hecke_orbit_code': 27024484015802868, 'n': 47, 'trace_an': 0}
  • id: 47764854
    {'hecke_orbit_code': 27024484015802868, 'n': 48, 'trace_an': 0}
  • id: 47764855
    {'hecke_orbit_code': 27024484015802868, 'n': 49, 'trace_an': 0}
  • id: 47764856
    {'hecke_orbit_code': 27024484015802868, 'n': 50, 'trace_an': 0}
  • id: 47764857
    {'hecke_orbit_code': 27024484015802868, 'n': 51, 'trace_an': -40}
  • id: 47764858
    {'hecke_orbit_code': 27024484015802868, 'n': 52, 'trace_an': 0}
  • id: 47764859
    {'hecke_orbit_code': 27024484015802868, 'n': 53, 'trace_an': 24}
  • id: 47764860
    {'hecke_orbit_code': 27024484015802868, 'n': 54, 'trace_an': 0}
  • id: 47764861
    {'hecke_orbit_code': 27024484015802868, 'n': 55, 'trace_an': 0}
  • id: 47764862
    {'hecke_orbit_code': 27024484015802868, 'n': 56, 'trace_an': 0}
  • id: 47764863
    {'hecke_orbit_code': 27024484015802868, 'n': 57, 'trace_an': 0}
  • id: 47764864
    {'hecke_orbit_code': 27024484015802868, 'n': 58, 'trace_an': 0}
  • id: 47764865
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  • id: 47764866
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  • id: 47764867
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  • id: 47764868
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  • id: 47764869
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  • id: 47764870
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  • id: 47764871
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  • id: 47764872
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  • id: 47764873
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  • id: 47764874
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  • id: 47764875
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  • id: 47764876
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  • id: 47764877
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  • id: 47764878
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  • id: 47764879
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  • id: 47764880
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  • id: 47764881
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  • id: 47764882
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  • id: 47764883
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  • id: 47764884
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  • id: 47764885
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  • id: 47764886
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  • id: 47764887
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  • id: 47764888
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  • id: 47764889
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  • id: 47764890
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  • id: 47764891
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  • id: 47764892
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  • id: 47764893
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  • id: 47764894
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  • id: 47764895
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  • id: 47764896
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  • id: 47764897
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  • id: 47764898
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  • id: 47764899
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  • id: 47764900
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  • id: 47764901
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  • id: 47764902
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  • id: 47764903
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  • id: 47764904
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  • id: 47764905
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  • id: 47764906
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  • id: 47764907
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  • id: 47764908
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  • id: 47764909
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  • id: 47764910
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  • id: 47764911
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  • id: 47764912
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  • id: 47764913
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  • id: 47764914
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  • id: 47764915
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  • id: 47764916
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  • id: 47764917
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  • id: 47764918
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  • id: 47764919
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  • id: 47764920
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  • id: 47764921
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  • id: 47764922
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  • id: 47764923
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  • id: 47764924
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  • id: 47764925
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  • id: 47764926
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  • id: 47764927
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  • id: 47764928
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  • id: 47764929
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  • id: 47764930
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  • id: 47764931
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  • id: 47764932
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  • id: 47764933
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  • id: 47764934
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  • id: 47764935
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  • id: 47764936
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  • id: 47764937
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  • id: 47764938
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  • id: 47764939
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  • id: 47764940
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  • id: 47764941
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  • id: 47764942
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  • id: 47764943
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  • id: 47764944
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  • id: 47764945
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  • id: 47764946
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  • id: 47764947
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  • id: 47764948
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  • id: 47764949
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  • id: 47764950
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  • id: 47764951
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  • id: 47764952
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  • id: 47764953
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  • id: 47764954
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  • id: 47764955
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  • id: 47764956
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  • id: 47764957
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  • id: 47764958
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  • id: 47764959
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  • id: 47764960
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  • id: 47764961
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  • id: 47764962
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  • id: 47764963
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  • id: 47764964
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  • id: 47764965
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  • id: 47764966
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  • id: 47764967
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  • id: 47764968
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  • id: 47764969
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  • id: 47764970
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  • id: 47764971
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  • id: 47764972
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  • id: 47764973
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  • id: 47764974
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  • id: 47764975
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  • id: 47764976
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  • id: 47764977
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  • id: 47764978
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  • id: 47764979
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  • id: 47764980
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  • id: 47764981
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  • id: 47764982
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  • id: 47764983
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  • id: 47764984
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  • id: 47764985
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  • id: 47764986
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  • id: 47764987
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  • id: 47764988
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  • id: 47764989
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  • id: 47764990
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  • id: 47764991
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  • id: 47764992
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  • id: 47764993
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  • id: 47764994
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  • id: 47764995
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  • id: 47764996
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  • id: 47764997
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  • id: 47764998
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  • id: 47764999
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  • id: 47765000
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  • id: 47765001
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  • id: 47765002
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  • id: 47765003
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  • id: 47765004
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  • id: 47765005
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  • id: 47765006
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  • id: 47765007
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  • id: 47765008
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  • id: 47765009
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  • id: 47765010
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  • id: 47765011
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  • id: 47765012
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  • id: 47765013
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  • id: 47765014
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  • id: 47765015
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  • id: 47765016
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  • id: 47765017
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  • id: 47765018
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  • id: 47765019
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  • id: 47765020
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  • id: 47765021
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  • id: 47765022
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  • id: 47765023
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  • id: 47765024
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  • id: 47765025
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  • id: 47765026
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  • id: 47765027
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  • id: 47765028
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  • id: 47765029
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  • id: 47765030
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  • id: 47765031
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  • id: 47765032
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  • id: 47765033
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  • id: 47765034
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  • id: 47765035
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  • id: 47765036
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  • id: 47765037
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  • id: 47765038
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  • id: 47765039
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  • id: 47765040
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  • id: 47765041
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  • id: 47765042
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  • id: 47765043
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  • id: 47765044
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  • id: 47765045
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  • id: 47765046
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  • id: 47765047
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  • id: 47765048
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  • id: 47765049
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  • id: 47765050
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  • id: 47765051
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  • id: 47765052
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  • id: 47765053
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  • id: 47765054
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  • id: 47765055
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  • id: 47765056
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  • id: 47765057
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  • id: 47765058
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  • id: 47765059
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  • id: 47765060
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  • id: 47765061
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  • id: 47765062
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  • id: 47765063
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  • id: 47765064
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