Embedded newform data - 4000.2.d.c.2001.16

Formats: - HTML - YAML - JSON - 2025-12-28T12:42:43.984860

• 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': 16000, 'analytic_conductor': 31.940160808512154, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 8, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [4000, 2, [2751, 2501, 1377], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 2001, 'dim': 40, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [256, 0, 7728, 0, 45097, 0, 96868, 0, 101906, 0, 59708, 0, 20735, 0, 4348, 0, 538, 0, 36, 0, 1]], [7, [119961, 0, -2032281, 0, 5671669, 0, -6713492, 0, 4115714, 0, -1409126, 0, 279482, 0, -32388, 0, 2133, 0, -73, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007405446729632, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 40, 6, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '4000.2.d.c', 'level': 4000, 'level_is_powerful': True, '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], 'level_radical': 10, 'minimal_twist': '1000.2.d.c', 'prim_orbit_index': 2, 'related_objects': [], 'relative_dim': 40, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4000.2.d', 'trace_display': [0, 0, 0, 0], 'traces': [40, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -8, 0, 44, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -96, 0, -56, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, -76, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -56, 0, -136, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -168, 0, 80, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 48, 0, -4, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -80, 0, 28, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 40, 0, -80, 0, 0, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 0, 0, 272, 0, -28, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 16, 0, 124, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, -88, 0, 116, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, -16, 0, -24, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, -64, 0, 124, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 344, 0, 0, 0, 0, 0, 0, 0, -248, 0, 96, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 544, 0, 0, 0, 0, 0, 0, 0, -168, 0, 140, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 224, 0, -52, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 280, 0, -96, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 232, 0, -184, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 192, 0, 124, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 360, 0, -132, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, -264, 0, -216, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, -40, 0, -68, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 88, 0, -112, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 440, 0, 0, 0, 0, 0, 0, 0, -80, 0, -136, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 120, 0, 148, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 408, 0, 0, 0, 0, 0, 0, 0, 48, 0, 112, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 752, 0, 0, 0, 0, 0, 0, 0, 184, 0, 108, 0, 0, 0, 0, 0, 0, 0, 268, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -216, 0, 412, 0, 0, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -816, 0, 0, 0, 0, 0, 0, 0, 264, 0, -224, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -960, 0, 0, 0, 0, 0, 0, 0, 168, 0, -260, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, -128, 0, 64, 0, 0, 0, 0, 0, 0, 0, -236, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 80, 0, 336, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 208, 0, 444, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 424, 0, 0, 0, 0, 0, 0, 0, -544, 0, 160, 0, 0, 0, 0, 0, 0, 0, 172, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 848, 0, 0, 0, 0, 0, 0, 0, -176, 0, -832, 0, 0, 0, 0, 0, 0, 0, 372, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 696, 0, 0, 0, 0, 0, 0, 0, 232, 0, -340, 0, 0, 0, 0, 0, 0, 0, 504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, -200, 0, 348, 0, 0, 0, 0, 0, 0, 0, -924, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -376, 0, 0, 0, 0, 0, 0, 0, -456, 0, 164, 0, 0, 0, 0, 0, 0, 0, 276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -888, 0, 0, 0, 0, 0, 0, 0, 360, 0, 152, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1096, 0, 0, 0, 0, 0, 0, 0, 136, 0, -148, 0, 0, 0, 0, 0, 0, 0, 292, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, -352, 0, -352, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, -328, 0, -92, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 112, 0, 316, 0, 0, 0, 0, 0, 0, 0, -660, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 848, 0, 0, 0, 0, 0, 0, 0, 8, 0, 272, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 648, 0, 0, 0, 0, 0, 0, 0, -560, 0, 332, 0, 0, 0, 0, 0, 0, 0, -880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 672, 0, 0, 0, 0, 0, 0, 0, 480, 0, 92, 0, 0, 0, 0, 0, 0, 0, -488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 608, 0, 0, 0, 0, 0, 0, 0, -152, 0, -376, 0, 0, 0, 0, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, -488, 0, 32, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -848, 0, 0, 0, 0, 0, 0, 0, -128, 0, -196, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -984, 0, 0, 0, 0, 0, 0, 0, 456, 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], [0.0, 1.0595865820608585], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.49726614422560256, 0.0], [0.0, 0.0], [-0.12272372488341253, 0.0], [0.0, 0.0], [0.0, 1.9908001413362812], [0.0, 0.0], [0.0, -0.8229110358925209], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6536386850377559, 0.0], [0.0, 0.0], [0.0, -1.1402263320783017], [0.0, 0.0], [0.0, 0.5268965341345881], [0.0, 0.0], [0.7793007182511825, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9295501698738663], [0.0, 0.0], [0.0, 1.0266093922251798], [0.0, 0.0], [-1.5017183561564746, 0.0], [0.0, 0.0], [-2.1094251173247844, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.1828789107643929], [0.0, 0.0], [0.8719454918615167, 0.0], [0.0, 0.0], [-0.5890396847088935, 0.0], [0.0, 0.0], [0.0, 0.46962057968657234], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2801768409670196, 0.0], [0.0, 0.0], [-0.7527263818070022, 0.0], [0.0, 0.0], [0.0, -0.6925867801819098], [0.0, 0.0], [0.0, 0.00637665699461849], [0.0, 0.0], 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[-0.007542813080112466, 0.0], [0.0, 0.0], [0.0, -0.7043661563240199], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5217686877780003, 0.0], [0.0, 0.0], [-1.6389133900201676, 0.0], [0.0, 0.0], [0.0, 1.3506176024964185], [0.0, 0.0], [0.0, 1.3171997633261256], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.4319765499167917, 0.0], [0.0, 0.0], [0.0, 0.6276499363629333], [0.0, 0.0], [0.0, -0.45298163284512044], [0.0, 0.0], [0.9820988525934939, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.858937409911331], [0.0, 0.0], [0.0, -0.0660114332986546], [0.0, 0.0], [-2.7568699719694942, 0.0], [0.0, 0.0], [0.7638253556885201, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.61073390691235], [0.0, 0.0], [0.352084401155459, 0.0], [0.0, 0.0]], 'angles': [None, 0.08886524833398134, None, -0.21000933562408747, 0.2347286536515919, -0.4325102749742825, -0.3029884327722438, -0.40344967349356503, -0.18629792922923846, 0.08578946026166266, -0.3851801595836496, 0.10072006387065284, -0.29757985349621163, 0.037723445214823556, -0.1394488524775286, 0.0005074391002735007, 0.010583798519129642, -0.44564223801128217, 0.11490365319539461, -0.34367956309373643, -0.12057519254461548, -0.2628924983149821, 0.12678773690514536, -0.21650301396211138, -0.24186075797972267, 0.019860963470301397, -0.2076030825849814, 0.007477455482200726, -0.32085355731110654, -0.34893545770441053, -0.3377634599042031, 0.0933818833035685, -0.2203519691262386, -0.47637103822633264, 0.060921783584693835, -0.17961405006227654, -0.4641957651872933, 0.034447989881351684, -0.11441032874534121, 0.07517006673972763, 0.0675187588505262, 0.12172385939855042, -0.3128054657156473, -0.361994737556293, -0.3402128923738597, -0.35960759669606746, 0.08695324296335503, -0.37454512949013147, 0.03701132120887061, -0.38593972472675964, -0.1999765146933182, -0.1284337670429827, -0.19009887876125778, -0.4861126800377018, -0.31195643885082003, -0.37139138870578253, -0.3191509122264841, -0.3259236852985762, 0.04612826875123047, 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-0.10928963354987926, 0.048749556329430996, -0.07096483673135277, -0.18339577252258032, -0.27347886602837845, -0.22998658919236545, -0.45303886388030473, -0.10876484926415096, 0.015284750363183988, -0.19688624093094556, -0.11662769975755348, 0.0020324286303164143, -0.1027837178458731, 0.07011803576509258, -0.4673285535687418, -0.42330838914097335, -0.1936056750671556, 0.13030430936761836, -0.34041872009735946, -0.48137974013822005, -0.35593946947132793, 0.16960531805233278, -0.143135295107331, -0.3599754459757005, 0.13542598816806384, 0.06951684254754924, -0.20638961961910457, -0.1915504989538531, 0.009323987579334312, -0.18626586776353102, -0.20313188820271713, 0.006099009709333304, 0.032828755546468094, -0.4591418093344435, -0.1107408140366128, -0.44635793820940944, 0.004555800591275601, -0.11210284641257309, 0.09478832480536319, 0.018939888821573957, -0.28432760921152667, -0.47184925993138427, -0.2195065107764058, 0.08672130043364173, -0.3944061455693924, 0.11756039876970138, -0.1373222993921027, 0.20646098024351914, -0.21823406765389872, -0.39560144750791454, -0.20612360908984265, -0.16474123921504563, -0.21991729190318063, -0.16930504396961707, 0.06104795948062393, -0.40236203929819336, -0.25349304814699736, -0.3010928261626301, 0.00397787416770541, -0.39513718893780886, -0.2966273748976486, -0.26221992109908504, -0.4529958818383997, -0.3753393660235556, -0.4488707100930648, -0.4391173196570252, 0.01564489288377056, -0.1136810301077391, -0.29679377677006513, -0.29658522270151794, -0.09893381248767683, 0.009653797527584546, -0.4881620223248961, -0.08729977528979632, 0.07873110489351738, -0.322784325200057, 0.03230076737689481, 0.004140201480549676, -0.21109840739570668, -0.15122634960058504, -0.42717580488850887, -0.43618421647604266, 0.13110415957965355, -0.2753921701994292, -0.41228456839185834, -0.2593825499736158, -0.45603497507599816, -0.4800491677030031, 0.06366714615568142, -0.45838248697879236, -0.20121618081084702, -0.280623862349038, -0.34112452402861293, -0.22995064060885162, -0.299868323992208, -0.4885857236821144, -0.163876930379104, -0.4395371383366056, -0.28075332902617295, 0.03952231762992662, -0.3978679208750154, -0.39150007378882445, 0.03162821853423507, -0.2658379602041523, 0.06601196250708102, -0.24107706582730695, 0.058398817810524625, -0.35033516602946535, 0.023406429898606803, -0.14250713772808005, -0.12644215658200114, -0.15423572617473433, -0.39061858678000166, -0.1972137501156053, -0.479946029668721, 0.031734487342269156, -0.2514804003043951, -0.2469002567855667, -0.33537544013962123, 0.010099722377650963, 0.12978641163816473, -0.14365325146643249, -0.3476561340488327, -0.32858483209610895, -0.47456282434357777, 0.011916343103554994, -0.33576074472475403, -0.28697589623335223, -0.2509881414529579, -0.4824725930925582, -0.3071242469428643, -0.37592650253697407, 0.09353821974161486, -0.40490743486590874, -0.21227520348186588, 0.00213728538902315, 0.02890915717973445, -0.3157543309558161, -0.38229956998620035, -0.2768219615090091, -0.18477492440734816, -0.1349497701249686, 0.03541994183336614, -0.48135048844456313, -0.19861146399331042, 0.07446569230593436, -0.3483244250567704, -0.287757470309114, -0.2894414030141208, -0.43502229907479867, -0.4541171028127009, -0.4772380096250703, -0.4072796829590087, -0.46642610309210764, -0.3248711427466656, -0.11260077317020833, 0.03668226296143956, -0.3623511861781735, -0.41716722918183424, -0.2379069457179044, -0.3489305524244626, 0.027520168840305878, -0.22390500686353157, -0.4005526887964815, -0.38071944642692124, -0.4307035901355287, 0.04351498831905287, -0.1914268654308603, -0.2829253963382829, -0.1596266459194514, -0.2514293540647536, 0.08300392350657901, 0.0462331383921859, -0.2529495136981373, 0.08630230278646356, -0.45421458975842655, -0.221664862247274, -0.30103285626366405, 0.09714363218238702, 0.15420542890877295, -0.2734758440429839, -0.09878235561641233, 0.13665876744184052, -0.2400835599441356, -0.10200431508482595, -0.43614943523721234, -0.4781817706721295, -0.2278986594229035, -0.4602900885886632, 0.0801358669025616, -0.49629211367260617, -0.30087701717526155, 0.11442549730372137, 0.05080525768942533, 0.07064957653299449, -0.1876327534751328, 0.14901585806138212, -0.2218352404478565], 'char_orbit_index': 4, 'conrey_index': 2001, 'dual_conrey_index': 2001, 'dual_embedding_index': 15, 'dual_embedding_m': 15, 'embedding_index': 16, 'embedding_m': 16, 'hecke_orbit': 3, 'hecke_orbit_code': 9007405446729632, 'label': '4000.2.d.c.2001.16', 'level': 4000, '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': 16000, 'analytic_conductor': 31.940160808512154, 'char_conductor': 8, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [4000, 2, [2751, 2501, 1377], [2, 1, 2]], 'conrey_index': 2001, 'cusp_dim': 560, 'dim': 96, 'eis_dim': 80, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 206191988640, 'hecke_orbit_dims': [4, 4, 40, 48], 'label': '4000.2.d', 'level': 4000, 'level_is_powerful': True, '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], 'level_radical': 10, 'mf_dim': 640, 'mf_new_dim': 96, 'num_forms': 4, 'prim_orbit_index': 2, 'relative_dim': 96, 'sturm_bound': 1200, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 8, 0, 104, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -16, 0, -96, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -16, 0, -8, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -224, 0, 24, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, -24, 0, 8, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 240, 0, -8, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 24, 0, -128, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 24, 0, -40, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 224, 0, -64, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -32, 0, -16, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 40, 0, 32, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 656, 0, 0, 0, 0, 0, 0, 0, 24, 0, -8, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -656, 0, 8, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -24, 0, -40, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 624, 0, -16, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, -16, 0, 80, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 16, 0, 216, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -648, 0, 0, 0, 0, 0, 0, 0, 112, 0, -104, 0, 0, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 16, 0, 256, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -64, 0, -232, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 136, 0, 96, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 40, 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: 40744539
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 2001, 'target_dim': 40, 'target_embedding_index': 16, 'target_hecke_orbit_code': 9007405446729632, 'target_is_minimal': False, 'target_label': '4000.2.d.c.2001.16', 'target_level': 4000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 40744540
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 501, 'target_dim': 40, 'target_embedding_index': 23, 'target_hecke_orbit_code': 9007405446726632, 'target_is_minimal': True, 'target_label': '1000.2.d.c.501.23', 'target_level': 1000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40744541
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 3249, 'target_dim': 20, 'target_embedding_index': 16, 'target_hecke_orbit_code': 13511142513053600, 'target_is_minimal': False, 'target_label': '4000.2.f.d.3249.16', 'target_level': 4000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 40744542
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 3249, 'target_dim': 20, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9007542885683104, 'target_is_minimal': False, 'target_label': '4000.2.f.c.3249.5', 'target_level': 4000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40744543
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 2001, 'target_dim': 40, 'target_embedding_index': 25, 'target_hecke_orbit_code': 9007405446729632, 'target_is_minimal': False, 'target_label': '4000.2.d.c.2001.25', 'target_level': 4000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 40744544
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 501, 'target_dim': 40, 'target_embedding_index': 24, 'target_hecke_orbit_code': 9007405446726632, 'target_is_minimal': True, 'target_label': '1000.2.d.c.501.24', 'target_level': 1000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40744545
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 2001, 'target_dim': 40, 'target_embedding_index': 15, 'target_hecke_orbit_code': 9007405446729632, 'target_is_minimal': False, 'target_label': '4000.2.d.c.2001.15', 'target_level': 4000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 40744546
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 749, 'target_dim': 20, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007542885680104, 'target_is_minimal': False, 'target_label': '1000.2.f.c.749.1', 'target_level': 1000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40744547
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 749, 'target_dim': 20, 'target_embedding_index': 20, 'target_hecke_orbit_code': 13511142513050600, 'target_is_minimal': False, 'target_label': '1000.2.f.d.749.20', 'target_level': 1000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 40744548
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 501, 'target_dim': 40, 'target_embedding_index': 18, 'target_hecke_orbit_code': 9007405446726632, 'target_is_minimal': True, 'target_label': '1000.2.d.c.501.18', 'target_level': 1000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 40744549
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 749, 'target_dim': 20, 'target_embedding_index': 19, 'target_hecke_orbit_code': 13511142513050600, 'target_is_minimal': False, 'target_label': '1000.2.f.d.749.19', 'target_level': 1000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '40.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40744550
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 3249, 'target_dim': 20, 'target_embedding_index': 15, 'target_hecke_orbit_code': 13511142513053600, 'target_is_minimal': False, 'target_label': '4000.2.f.d.3249.15', 'target_level': 4000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '40.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 40744551
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 501, 'target_dim': 40, 'target_embedding_index': 17, 'target_hecke_orbit_code': 9007405446726632, 'target_is_minimal': True, 'target_label': '1000.2.d.c.501.17', 'target_level': 1000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 40744552
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 749, 'target_dim': 20, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007542885680104, 'target_is_minimal': False, 'target_label': '1000.2.f.c.749.2', 'target_level': 1000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '40.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 40744553
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 2001, 'target_dim': 40, 'target_embedding_index': 26, 'target_hecke_orbit_code': 9007405446729632, 'target_is_minimal': False, 'target_label': '4000.2.d.c.2001.26', 'target_level': 4000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '40.29', 'twisting_conrey_index': 29, 'weight': 2}
  • id: 40744554
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 2001, 'source_dim': 40, 'source_embedding_index': 16, 'source_hecke_orbit_code': 9007405446729632, 'source_is_minimal': False, 'source_label': '4000.2.d.c.2001.16', 'source_level': 4000, 'target_conrey_index': 3249, 'target_dim': 20, 'target_embedding_index': 6, 'target_hecke_orbit_code': 9007542885683104, 'target_is_minimal': False, 'target_label': '4000.2.f.c.3249.6', 'target_level': 4000, 'twist_class_label': '1000.2.d.c.501.17', 'twist_class_level': 1000, 'twisting_char_label': '40.37', 'twisting_conrey_index': 37, 'weight': 2}
• hecke_orbit_code 9007405446729632 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': 4, 'hecke_orbit': 3, 'label': '4000.2.d.c', 'level': 4000, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30248413
    {'hecke_orbit_code': 9007405446729632, 'n': 1, 'trace_an': 40}
  • id: 30248414
    {'hecke_orbit_code': 9007405446729632, 'n': 2, 'trace_an': 0}
  • id: 30248415
    {'hecke_orbit_code': 9007405446729632, 'n': 3, 'trace_an': 0}
  • id: 30248416
    {'hecke_orbit_code': 9007405446729632, 'n': 4, 'trace_an': 0}
  • id: 30248417
    {'hecke_orbit_code': 9007405446729632, 'n': 5, 'trace_an': 0}
  • id: 30248418
    {'hecke_orbit_code': 9007405446729632, 'n': 6, 'trace_an': 0}
  • id: 30248419
    {'hecke_orbit_code': 9007405446729632, 'n': 7, 'trace_an': 0}
  • id: 30248420
    {'hecke_orbit_code': 9007405446729632, 'n': 8, 'trace_an': 0}
  • id: 30248421
    {'hecke_orbit_code': 9007405446729632, 'n': 9, 'trace_an': -24}
  • id: 30248422
    {'hecke_orbit_code': 9007405446729632, 'n': 10, 'trace_an': 0}
  • id: 30248423
    {'hecke_orbit_code': 9007405446729632, 'n': 11, 'trace_an': 0}
  • id: 30248424
    {'hecke_orbit_code': 9007405446729632, 'n': 12, 'trace_an': 0}
  • id: 30248425
    {'hecke_orbit_code': 9007405446729632, 'n': 13, 'trace_an': 0}
  • id: 30248426
    {'hecke_orbit_code': 9007405446729632, 'n': 14, 'trace_an': 0}
  • id: 30248427
    {'hecke_orbit_code': 9007405446729632, 'n': 15, 'trace_an': 0}
  • id: 30248428
    {'hecke_orbit_code': 9007405446729632, 'n': 16, 'trace_an': 0}
  • id: 30248429
    {'hecke_orbit_code': 9007405446729632, 'n': 17, 'trace_an': 0}
  • id: 30248430
    {'hecke_orbit_code': 9007405446729632, 'n': 18, 'trace_an': 0}
  • id: 30248431
    {'hecke_orbit_code': 9007405446729632, 'n': 19, 'trace_an': 0}
  • id: 30248432
    {'hecke_orbit_code': 9007405446729632, 'n': 20, 'trace_an': 0}
  • id: 30248433
    {'hecke_orbit_code': 9007405446729632, 'n': 21, 'trace_an': 0}
  • id: 30248434
    {'hecke_orbit_code': 9007405446729632, 'n': 22, 'trace_an': 0}
  • id: 30248435
    {'hecke_orbit_code': 9007405446729632, 'n': 23, 'trace_an': 0}
  • id: 30248436
    {'hecke_orbit_code': 9007405446729632, 'n': 24, 'trace_an': 0}
  • id: 30248437
    {'hecke_orbit_code': 9007405446729632, 'n': 25, 'trace_an': 0}
  • id: 30248438
    {'hecke_orbit_code': 9007405446729632, 'n': 26, 'trace_an': 0}
  • id: 30248439
    {'hecke_orbit_code': 9007405446729632, 'n': 27, 'trace_an': 0}
  • id: 30248440
    {'hecke_orbit_code': 9007405446729632, 'n': 28, 'trace_an': 0}
  • id: 30248441
    {'hecke_orbit_code': 9007405446729632, 'n': 29, 'trace_an': 0}
  • id: 30248442
    {'hecke_orbit_code': 9007405446729632, 'n': 30, 'trace_an': 0}
  • id: 30248443
    {'hecke_orbit_code': 9007405446729632, 'n': 31, 'trace_an': -48}
  • id: 30248444
    {'hecke_orbit_code': 9007405446729632, 'n': 32, 'trace_an': 0}
  • id: 30248445
    {'hecke_orbit_code': 9007405446729632, 'n': 33, 'trace_an': 0}
  • id: 30248446
    {'hecke_orbit_code': 9007405446729632, 'n': 34, 'trace_an': 0}
  • id: 30248447
    {'hecke_orbit_code': 9007405446729632, 'n': 35, 'trace_an': 0}
  • id: 30248448
    {'hecke_orbit_code': 9007405446729632, 'n': 36, 'trace_an': 0}
  • id: 30248449
    {'hecke_orbit_code': 9007405446729632, 'n': 37, 'trace_an': 0}
  • id: 30248450
    {'hecke_orbit_code': 9007405446729632, 'n': 38, 'trace_an': 0}
  • id: 30248451
    {'hecke_orbit_code': 9007405446729632, 'n': 39, 'trace_an': -8}
  • id: 30248452
    {'hecke_orbit_code': 9007405446729632, 'n': 40, 'trace_an': 0}
  • id: 30248453
    {'hecke_orbit_code': 9007405446729632, 'n': 41, 'trace_an': 44}
  • id: 30248454
    {'hecke_orbit_code': 9007405446729632, 'n': 42, 'trace_an': 0}
  • id: 30248455
    {'hecke_orbit_code': 9007405446729632, 'n': 43, 'trace_an': 0}
  • id: 30248456
    {'hecke_orbit_code': 9007405446729632, 'n': 44, 'trace_an': 0}
  • id: 30248457
    {'hecke_orbit_code': 9007405446729632, 'n': 45, 'trace_an': 0}
  • id: 30248458
    {'hecke_orbit_code': 9007405446729632, 'n': 46, 'trace_an': 0}
  • id: 30248459
    {'hecke_orbit_code': 9007405446729632, 'n': 47, 'trace_an': 0}
  • id: 30248460
    {'hecke_orbit_code': 9007405446729632, 'n': 48, 'trace_an': 0}
  • id: 30248461
    {'hecke_orbit_code': 9007405446729632, 'n': 49, 'trace_an': 12}
  • id: 30248462
    {'hecke_orbit_code': 9007405446729632, 'n': 50, 'trace_an': 0}
  • id: 30248463
    {'hecke_orbit_code': 9007405446729632, 'n': 51, 'trace_an': 0}
  • id: 30248464
    {'hecke_orbit_code': 9007405446729632, 'n': 52, 'trace_an': 0}
  • id: 30248465
    {'hecke_orbit_code': 9007405446729632, 'n': 53, 'trace_an': 0}
  • id: 30248466
    {'hecke_orbit_code': 9007405446729632, 'n': 54, 'trace_an': 0}
  • id: 30248467
    {'hecke_orbit_code': 9007405446729632, 'n': 55, 'trace_an': 0}
  • id: 30248468
    {'hecke_orbit_code': 9007405446729632, 'n': 56, 'trace_an': 0}
  • id: 30248469
    {'hecke_orbit_code': 9007405446729632, 'n': 57, 'trace_an': 0}
  • id: 30248470
    {'hecke_orbit_code': 9007405446729632, 'n': 58, 'trace_an': 0}
  • id: 30248471
    {'hecke_orbit_code': 9007405446729632, 'n': 59, 'trace_an': 0}
  • id: 30248472
    {'hecke_orbit_code': 9007405446729632, 'n': 60, 'trace_an': 0}
  • id: 30248473
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  • id: 30248474
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  • id: 30248475
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  • id: 30248476
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  • id: 30248477
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  • id: 30248478
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  • id: 30248479
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  • id: 30248480
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  • id: 30248481
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  • id: 30248482
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  • id: 30248483
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  • id: 30248484
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  • id: 30248485
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  • id: 30248486
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  • id: 30248487
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  • id: 30248488
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  • id: 30248489
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  • id: 30248490
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  • id: 30248491
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  • id: 30248492
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  • id: 30248493
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  • id: 30248494
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  • id: 30248495
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  • id: 30248496
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  • id: 30248497
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  • id: 30248499
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  • id: 30248500
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  • id: 30248501
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  • id: 30248502
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  • id: 30248503
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  • id: 30248504
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  • id: 30248505
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  • id: 30248506
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  • id: 30248508
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  • id: 30248509
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  • id: 30248510
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  • id: 30248511
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  • id: 30248512
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  • id: 30248513
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  • id: 30248514
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  • id: 30248515
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  • id: 30248516
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  • id: 30248517
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  • id: 30248518
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  • id: 30248519
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  • id: 30248520
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  • id: 30248521
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  • id: 30248522
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  • id: 30248523
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  • id: 30248524
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  • id: 30248525
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  • id: 30248526
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  • id: 30248527
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  • id: 30248528
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  • id: 30248529
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  • id: 30248530
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  • id: 30248531
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  • id: 30248532
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  • id: 30248533
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  • id: 30248534
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  • id: 30248535
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  • id: 30248536
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  • id: 30248537
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  • id: 30248538
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  • id: 30248539
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  • id: 30248540
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  • id: 30248541
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  • id: 30248542
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  • id: 30248543
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  • id: 30248544
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  • id: 30248545
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  • id: 30248546
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  • id: 30248547
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  • id: 30248548
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  • id: 30248549
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  • id: 30248550
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  • id: 30248551
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  • id: 30248552
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  • id: 30248553
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  • id: 30248554
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  • id: 30248555
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  • id: 30248556
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  • id: 30248557
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  • id: 30248558
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  • id: 30248559
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  • id: 30248560
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  • id: 30248561
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  • id: 30248562
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  • id: 30248563
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  • id: 30248564
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  • id: 30248565
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  • id: 30248566
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  • id: 30248567
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  • id: 30248568
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  • id: 30248569
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  • id: 30248570
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  • id: 30248571
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  • id: 30248572
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  • id: 30248573
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  • id: 30248574
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  • id: 30248575
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  • id: 30248576
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  • id: 30248577
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  • id: 30248578
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  • id: 30248579
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  • id: 30248580
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  • id: 30248581
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  • id: 30248582
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  • id: 30248583
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  • id: 30248584
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  • id: 30248585
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  • id: 30248586
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  • id: 30248587
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  • id: 30248588
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  • id: 30248589
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  • id: 30248590
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  • id: 30248591
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  • id: 30248592
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  • id: 30248593
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  • id: 30248594
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  • id: 30248595
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  • id: 30248596
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  • id: 30248597
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  • id: 30248598
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  • id: 30248599
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  • id: 30248600
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  • id: 30248602
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  • id: 30248603
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  • id: 30248604
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  • id: 30248605
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  • id: 30248606
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  • id: 30248607
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  • id: 30248608
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  • id: 30248609
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  • id: 30248610
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  • id: 30248611
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  • id: 30248612
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  • id: 30248613
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  • id: 30248614
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  • id: 30248615
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  • id: 30248616
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  • id: 30248617
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  • id: 30248618
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  • id: 30248619
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  • id: 30248620
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  • id: 30248621
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  • id: 30248622
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  • id: 30248623
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  • id: 30248624
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  • id: 30248625
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  • id: 30248626
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  • id: 30248627
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  • id: 30248628
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  • id: 30248629
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  • id: 30248630
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  • id: 30248631
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  • id: 30248632
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  • id: 30248633
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  • id: 30248634
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  • id: 30248635
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  • id: 30248636
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  • id: 30248637
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  • id: 30248638
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  • id: 30248639
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  • id: 30248664
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  • id: 30248667
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