Newform data - 1248.2.bc.b

Formats: - HTML - YAML - JSON - 2025-09-11T22:19:47.873064

• 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': 4992, 'analytic_conductor': 9.965330172255792, 'analytic_rank': 1, 'analytic_rank_proved': True, 'char_conductor': 52, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 29, 'char_orbit_label': 'bc', 'char_order': 4, 'char_parity': 1, 'char_values': [1248, 4, [703, 1093, 833, 769], [2, 4, 4, 3]], 'cm_discs': [], 'conrey_index': 31, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [8, 4, 1]], [7, [2, 2, 1]], [11, [8, 4, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505523806274784, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 52, 6, 1, 4, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1248.2.bc.b', 'level': 1248, '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, 3, 13], 'level_radical': 78, 'minimal_twist': '1248.2.bc.b', 'nf_label': '2.0.4.1', 'prim_orbit_index': 6, 'qexp_display': 'q-i q^{3}+(-2 i-2)q^{5}+(-i-1)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1248.2.bc', 'trace_display': [0, 0, -4, -2], 'trace_hash': 462786491894347500, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.944', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.717', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '100.513', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.253', 'prec': 17}, 'traces': [2, 0, 0, 0, -4, 0, -2, 0, -2, 0, -4, 0, -4, 0, -4, 0, 0, 0, -10, 0, -2, 0, 8, 0, 0, 0, 0, 0, 20, 0, -2, 0, -4, 0, 0, 0, -2, 0, -6, 0, 12, 0, -8, 0, 4, 0, -8, 0, 0, 0, 12, 0, 12, 0, 0, 0, 10, 0, -16, 0, -8, 0, 2, 0, -4, 0, -18, 0, 0, 0, -20, 0, -18, 0, 6, 0, 0, 0, 0, 0, 2, 0, 8, 0, 24, 0, 0, 0, 8, 0, -2, 0, 2, 0, 40, 0, 18, 0, 4, 0, 0, 0, -16, 0, 8, 0, 0, 0, -6, 0, 2, 0, -28, 0, -16, 0, 4, 0, 12, 0, 0, 0, 12, 0, -8, 0, -4, 0, 0, 0, 0, 0, 20, 0, 4, 0, -12, 0, 0, 0, -8, 0, -4, 0, -40, 0, -10, 0, -8, 0, -30, 0, 0, 0, 8, 0, -20, 0, 0, 0, -8, 0, 30, 0, 16, 0, 8, 0, -10, 0, 10, 0, 0, 0, 6, 0, -16, 0, 8, 0, 0, 0, 0, 0, 8, 0, 24, 0, 2, 0, 0, 0, 6, 0, 20, 0, -20, 0, -52, 0, 18, 0, -20, 0, 0, 0, -8, 0, 40, 0, 0, 0, 20, 0, 16, 0, 4, 0, 18, 0, 36, 0, -6, 0, 0, 0, -20, 0, -14, 0, 8, 0, 0, 0, 0, 0, 0, 0, 36, 0, 18, 0, 0, 0, -20, 0, 50, 0, -8, 0, 8, 0, -16, 0, -24, 0, 0, 0, 4, 0, -20, 0, 0, 0, -24, 0, -8, 0, -52, 0, -6, 0, 10, 0, 12, 0, 0, 0, 2, 0, -4, 0, 4, 0, 0, 0, 0, 0, -38, 0, 18, 0, 0, 0, 0, 0, 4, 0, -16, 0, 8, 0, 12, 0, 16, 0, -26, 0, 0, 0, 48, 0, 32, 0, 0, 0, 4, 0, -40, 0, -8, 0, -60, 0, 18, 0, -6, 0, 0, 0, 22, 0, 2, 0, 72, 0, 0, 0, 0, 0, 8, 0, -24, 0, -16, 0, 0, 0, -22, 0, 6, 0, -28, 0, 80, 0, -12, 0, 16, 0, 0, 0, -6, 0, 72, 0, 0, 0, -12, 0, -12, 0, -32, 0, 8, 0, -40, 0, 50, 0, 0, 0, 0, 0, 16, 0, 8, 0, 0, 0, 0, 0, 24, 0, 0, 0, -54, 0, 0, 0, 40, 0, 10, 0, -4, 0, 8, 0, 14, 0, 12, 0, 0, 0, -32, 0, -28, 0, 0, 0, 26, 0, 8, 0, -36, 0, 8, 0, 20, 0, 32, 0, 0, 0, -40, 0, -40, 0, 32, 0, 0, 0, 0, 0, -32, 0, -8, 0, 32, 0, 0, 0, -30, 0, 24, 0, -30, 0, -12, 0, 20, 0, -30, 0, 0, 0, -72, 0, 36, 0, 0, 0, 16, 0, -30, 0, -12, 0, -20, 0, 10, 0, -8, 0, 0, 0, 14, 0, 30, 0, 24, 0, 0, 0, 0, 0, 40, 0, -54, 0, 8, 0, 0, 0, 24, 0, 24, 0, 52, 0, 36, 0, -10, 0, 32, 0, 0, 0, -36, 0, 12, 0, 0, 0, -6, 0, -12, 0, -14, 0, 16, 0, 12, 0, -16, 0, 0, 0, -20, 0, 42, 0, -16, 0, 0, 0, 0, 0, 8, 0, -100, 0, 0, 0, 0, 0, -8, 0, 16, 0, -24, 0, -72, 0, 56, 0, -2, 0, 0, 0, -68, 0, 0, 0, 0, 0, 34, 0, -6, 0, -16, 0, -24, 0, 4, 0, 40, 0, 0, 0, -20, 0, -24, 0, -48, 0, 0, 0, 0, 0, 32, 0, 18, 0, -12, 0, 0, 0, -20, 0, -8, 0, 30, 0, -48, 0, -4, 0, -6, 0, 0, 0, -16, 0, 62, 0, 0, 0, -12, 0, -10, 0, 40, 0, 8, 0, -30, 0, 20, 0, 0, 0, 6, 0, 16, 0, -16, 0, 0, 0, 0, 0, -36, 0, 48, 0, 18, 0, 0, 0, -42, 0, -24, 0, -40, 0, 80, 0, 6, 0, 16, 0, 0, 0, -6, 0, -84, 0, 0, 0, 20, 0, -44, 0, 48, 0, 14, 0, -24, 0, 26, 0, 0, 0, -56, 0, -72, 0, -12, 0, 0, 0, 0, 0, 32, 0, 12, 0, 22, 0, 0, 0, -8, 0, 48, 0, -36, 0, -96, 0, 16, 0, -18, 0, 0, 0, 36, 0, -2, 0, 0, 0, 6, 0, 20, 0, 72, 0, 34, 0, 10, 0, 52, 0, 0, 0, -8, 0, -8, 0, 0, 0, 0, 0, 0, 0, -96, 0, -16, 0, -52, 0, 0, 0, -24, 0, -16, 0, -46, 0, 28, 0, -40, 0, -6, 0, 0, 0, -120, 0, 80, 0, 0, 0, 40, 0, -42, 0, 0, 0, 28, 0, 16, 0, -24, 0, 0, 0, 48, 0, -8, 0, 72, 0, 0, 0, 0, 0, -60, 0, -18, 0, -6, 0, 0, 0, 40, 0, 2, 0, -24, 0, 16, 0, -12, 0, -36, 0, 0, 0, -56, 0, 60, 0, 0, 0, -2, 0, -4, 0, 142, 0, 4, 0, 68, 0, -6, 0, 0, 0, -8, 0, -2, 0, -40, 0, 0, 0, 0, 0, -24, 0, -32, 0, -72, 0, 0, 0, 0, 0, 90, 0, -18, 0, 16, 0, 54, 0, 0, 0, 0, 0, 108, 0, 64, 0, 0, 0, 4, 0, -4, 0, 80, 0, -16, 0, -24, 0, -20, 0, 0, 0, 8, 0, -32, 0, -116, 0, 0, 0, 0, 0, -32, 0, 16, 0, 24, 0, 0, 0, -26, 0, 100, 0, -6, 0, 16, 0, -4, 0, 50, 0, 0, 0, -96, 0, 104, 0, 0, 0, -16, 0, 48, 0, -8, 0, -40, 0, 90, 0, 4, 0, 0, 0, 0, 0, -40, 0, 24, 0, 0, 0, 0, 0, -24, 0, -30, 0, -60, 0, 0, 0, -28, 0, -12, 0, -16, 0, -32, 0, 6, 0, -12, 0, 0, 0, 16, 0, -32, 0, 0, 0, -22, 0, 104, 0, -76, 0, -2, 0, 24, 0, 96, 0, 0, 0, -60, 0, 50, 0, 4, 0, 0, 0, 0, 0, 28, 0, 76, 0, 70, 0, 0, 0, -36, 0, 0, 0, 24, 0, 112, 0, -30, 0, 16, 0, 0, 0, 16, 0, 32, 0, 0, 0, -80, 0, 22, 0, -52, 0, -14, 0, -4, 0, 80, 0, 0, 0, -28, 0, 64, 0, 32, 0, 0, 0, 0, 0, -96, 0, -12, 0, -20, 0, 0, 0, 16, 0, -40, 0, -32, 0, -62, 0, -8, 0, -30, 0, 0, 0, 80, 0, 32, 0, 0, 0, 16, 0, 20, 0, -36, 0, 40, 0, -120, 0, -12, 0, 0, 0, 24, 0, -12, 0, 24, 0, 0, 0, 0, 0, 160, 0, -54, 0, 8, 0, 0, 0, 26, 0, -60, 0, 32, 0, 80, 0, -50, 0, -108, 0, 0, 0, 4, 0, 56, 0, 0, 0, 0, 0, -8, 0, -124, 0, -16, 0, -40, 0, 40, 0, 0, 0, 16, 0, -24, 0, 68, 0, 0, 0, 0, 0, 48, 0, 24, 0, -16, 0, 0, 0, 64, 0, 34, 0, 0, 0, 112, 0, 120, 0, 54, 0, 0, 0, -144, 0, -20, 0, 0, 0, -66, 0, -40, 0, -72, 0, -120, 0, 2, 0, -36, 0, 0, 0, -4, 0, -88, 0, 48, 0, 0, 0, 0, 0, 30, 0, 14, 0, 52, 0, 0, 0, 12, 0, -80, 0, -74, 0, 32, 0, -108, 0, 56, 0, 0, 0, -80, 0, -100, 0, 0, 0, -8, 0, -16, 0, 0, 0, 64, 0, 18, 0, 26, 0, 0, 0, -16, 0, 8, 0, -24, 0, 0, 0, 0, 0, -76, 0, 78, 0, 8, 0, 0, 0, 56, 0, 4, 0, -88, 0, 92, 0, -32, 0, -8, 0, 0, 0, 36, 0, -36, 0, 0, 0, 40, 0, 44, 0, -48, 0, 40, 0, 36, 0, 0, 0, 0, 0, 32, 0, -42, 0, 10, 0, 0, 0, 0, 0, -8, 0, -56, 0, 8, 0, 0, 0, 0, 0, 32, 0, 8, 0, 0, 0, 104, 0, -32, 0, 0, 0, -12, 0, -48, 0, 0, 0, -64, 0, 30, 0, 60, 0, -80, 0, -16, 0, -60, 0, 0, 0, -30, 0, 32, 0, 32, 0, 0, 0, 0, 0, -4, 0, 20, 0, -112, 0, 0, 0, -30, 0, -24, 0, 52, 0, -8, 0, 8, 0, 14, 0, 0, 0, -32, 0, 16, 0, 0, 0, 48, 0, 48, 0, 20, 0, -8, 0, -6, 0, 16, 0, 0, 0, -50, 0, -30, 0, 120, 0, 0, 0, 0, 0, 132, 0, -48, 0, -20, 0, 0, 0, 48, 0, 2, 0, 76, 0, -28, 0, 8, 0, 32, 0, 0, 0, -72, 0, 16, 0, 0, 0, -14, 0, -40, 0, 0, 0, -30, 0, 56, 0, -18, 0, 0, 0, 48, 0, 40, 0, 120, 0, 0, 0, 0, 0, -16, 0, 12, 0, -42, 0, 0, 0, -88, 0, -16, 0, 54, 0, 24, 0, 0, 0, -8, 0, 0, 0, 48, 0, 0, 0, 0, 0, 48, 0, -24, 0, -24, 0, 10, 0, 10, 0, -32, 0, 0, 0, 52, 0, -56, 0, -12, 0, 0, 0, 0, 0, 120, 0, -10, 0, -72, 0, 0, 0, 32, 0, -60, 0, 66, 0, 32, 0, 48, 0, -96, 0, 0, 0, 80, 0, 12, 0, 0, 0, -64, 0, -66, 0, 76, 0, 80, 0, -18, 0, -6, 0, 0, 0, -42, 0, -12, 0, -72, 0, 0, 0, 0, 0, 40, 0, 8, 0, 16, 0, 0, 0, 78, 0, -60, 0, -84, 0, 28, 0, 16, 0, 36, 0, 0, 0, -8, 0, 132, 0, 0, 0, 20, 0, -4, 0, 88, 0, -42, 0, 40, 0, -38, 0, 0, 0, -12, 0, -80, 0, 24, 0, 0, 0, 0, 0, 52, 0, -12, 0, 32, 0, 0, 0, -108, 0, 8, 0, 100, 0, -88, 0, 38, 0, 0, 0, 0, 0, 116, 0, -8, 0, 0, 0, -74, 0, 8, 0, -72, 0, -54, 0, 24, 0, -72, 0, 0, 0, -24, 0, 8, 0, -36, 0, 0, 0, 0, 0, -156, 0, 56, 0, 8, 0, 0, 0, -2, 0, 72, 0, -16, 0, -36, 0, 60, 0, -160, 0, 0, 0, 96, 0, -72, 0, 0, 0, 4, 0, -22, 0, 24, 0, 40, 0, -40, 0, 34, 0, 0, 0, 64, 0, -6, 0, 16, 0, 0, 0, 0, 0, 88, 0, 14, 0, -24, 0, 0, 0, -38, 0, -20, 0, -8, 0, -80, 0, -40, 0, -48, 0, 0, 0, -20, 0, -80, 0, 0, 0, 20, 0, -60, 0, -40, 0, 24, 0, 60, 0, -30, 0, 0, 0, 76, 0, -26, 0, 52, 0, 0, 0, 0, 0, 72, 0, 28, 0, 118, 0, 0, 0, -124, 0, -84, 0, -18, 0, -80, 0, 10, 0, 12, 0, 0, 0, 48, 0, 12, 0, 0, 0, -54, 0, 20, 0, 32, 0, 18, 0, 40, 0, -72, 0, 0, 0, 30, 0, 0, 0, -180, 0, 0, 0, 0, 0, -54, 0, -4, 0, 36, 0, 0, 0, -6, 0, 68, 0, 102, 0, 8, 0, 64, 0, 50, 0, 0, 0, 32, 0, -128, 0, 0, 0, 32, 0, 6, 0, -40, 0, 52, 0, -40, 0, -12, 0, 0, 0, 8, 0, -10, 0, -200, 0, 0, 0, 0, 0, 36, 0, -72, 0, 8, 0, 0, 0, 32, 0, 20, 0, 24, 0, 0, 0, -20, 0, -60, 0, 0, 0, 20, 0, -24, 0, 0, 0, -6, 0, 96, 0, -92, 0, -16, 0, -8, 0, -56, 0, 0, 0, -180, 0, 136, 0, 64, 0, 0, 0, 0, 0, -4, 0, 96, 0, 80, 0, 0, 0, -12, 0, -30, 0, -48, 0, 8, 0, -16, 0, -18, 0, 0, 0, 0, 0, 32, 0, 0, 0, -4, 0, 42, 0, 216, 0, -58, 0, -36, 0, -32, 0, 0, 0, -40, 0, -52, 0, -160, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [0, 0], [0, -1], [0, 0], [-2, -2], [0, 0], [-1, -1], [0, 0], [-1, 0], [0, 0], [-2, -2], [0, 0], [-2, -3], [0, 0], [-2, 2], [0, 0], [0, 6], [0, 0], [-5, 5], [0, 0], [-1, 1], [0, 0], [4, 0], [0, 0], [0, 3], [0, 0], [0, 1], [0, 0], [10, 0], [0, 0], [-1, 1], [0, 0], [-2, 2], [0, 0], [0, 4], [0, 0], [-1, 1], [0, 0], [-3, 2], [0, 0], [6, 6], [0, 0], [-4, 0], [0, 0], [2, 2], [0, 0], [-4, -4], [0, 0], [0, -5], [0, 0], [6, 0], [0, 0], [6, 0], [0, 0], [0, 8], [0, 0], [5, 5], [0, 0], [-8, -8], [0, 0], [-4, 0], [0, 0], [1, 1], [0, 0], [-2, 10], [0, 0], [-9, 9], [0, 0], [0, -4], [0, 0], [-10, 10], [0, 0], [-9, 9], [0, 0], [3, 0], [0, 0], [0, 4], [0, 0], [0, 0], [0, 0], [1, 0], [0, 0], [4, -4], [0, 0], [12, -12], [0, 0], [0, -10], [0, 0], [4, -4], [0, 0], [-1, 5], [0, 0], [1, 1], [0, 0], [20, 0], [0, 0], [9, 9], [0, 0], [2, 2], [0, 0]], 'ap': [[0, 0], [0, -1], [-2, -2], [-1, -1], [-2, -2], [-2, -3], [0, 6], [-5, 5], [4, 0], [10, 0], [-1, 1], [-1, 1], [6, 6], [-4, 0], [-4, -4], [6, 0], [-8, -8], [-4, 0], [-9, 9], [-10, 10], [-9, 9], [0, 0], [4, -4], [4, -4], [9, 9], [0, 6], [-8, 0], [0, -4], [-3, -3], [-14, 0], [-2, 0], [0, 12], [-6, 6], [0, -14], [-4, -4], [-15, -15], [-10, 0], [15, 15], [4, 4], [0, -18], [4, 0], [0, -8], [0, 0], [3, -3], [-10, -10], [-26, 0], [0, 20], [-3, 3], [-10, 10], [-7, 7], [0, -6], [18, -18], [9, -9], [4, 0], [0, 14], [0, 0], [-26, 0], [-3, -3], [0, -28], [-2, 2], [2, 0], [0, 0], [-13, -13], [24, 0], [16, 0], [2, 2], [11, -11], [0, 2], [0, 16], [-11, 11], [-14, -14], [8, 8], [0, -18], [-16, 0], [25, -25], [0, 0], [0, 34], [-27, 27], [20, -20], [7, 7], [0, 0], [13, 13], [16, -16], [0, 18], [16, 0], [0, -4], [16, -16], [-15, -15], [10, 10], [-15, -15], [-36, 0], [-10, -10], [7, -7], [12, 0], [-27, 27], [0, 0], [26, 26], [6, 0], [0, 38], [21, -21], [0, 26], [-4, 4], [-36, 0], [0, -18], [-34, 0], [17, 17], [20, -20], [-12, 12], [0, 36], [16, 0], [0, 6], [15, 15], [-2, -2], [-3, -3], [-5, -5], [0, 10], [3, -3], [-8, 0], [-18, 0], [0, 16], [-21, 21], [0, -20], [-42, 0], [-22, -22], [13, -13], [0, 6], [11, -11], [-48, 0], [18, 0], [3, 3], [17, 17], [26, -26], [0, 0], [-48, 0], [-26, 26], [-23, -23], [-20, -20], [-21, -21], [0, 22], [-30, 0], [-9, 9], [-12, -12], [8, 0], [-18, -18], [0, -46], [-2, -2], [-1, 1], [0, -22], [0, -12], [-16, 16], [27, 27], [0, -30], [54, 0], [0, -48], [-58, 0], [0, 0], [0, -56], [-2, -2], [52, 0], [-8, -8], [-20, -20], [0, -34], [-15, 15], [0, 44], [-8, -8], [-6, -6], [0, 50], [-38, 0], [25, -25], [0, 14], [38, -38], [35, -35], [56, 0], [-15, -15], [8, 0], [-26, 0], [-7, -7], [32, -32], [16, 0], [-48, 0], [-15, -15], [40, 0], [16, 0], [8, 8], [20, 20], [0, -14], [0, 16], [-27, 27], [13, -13], [-4, -4], [-62, 0], [8, -8], [0, -34], [32, -32], [56, 0], [0, 34], [-33, -33], [0, -22], [-44, 44], [0, -24], [26, -26], [0, 62], [-37, -37], [-50, 0], [32, 32], [-38, 0], [39, -39], [0, -64], [-44, -44], [46, 0], [0, 18], [-18, 0], [0, 56], [22, 22], [16, -16], [-21, 21], [0, -48], [30, 0], [-30, 30], [16, -16], [-2, 0], [7, 7], [24, 24], [-25, 25], [60, 0], [0, 0], [66, 0], [0, -8], [-14, 0], [16, 16], [0, -48], [0, 34], [-9, 9], [0, 10], [0, 2], [6, -6], [-21, 21], [-44, 44], [12, 0], [0, -44], [-16, 16], [-6, 0], [0, 24], [33, 33], [24, 24], [40, 0], [-33, -33], [40, 40], [-21, 21], [-36, 0], [39, -39], [-42, -42], [18, 18], [0, -42], [66, 0], [-2, -2], [44, 0], [-19, 19], [0, -42], [19, 19], [58, 0], [0, 28], [-37, -37], [-78, 0], [4, -4], [0, -20], [30, 30], [2, 2], [-11, -11], [0, -2], [0, 6], [7, -7], [-19, 19], [-40, 0], [-20, 0], [-15, 15], [38, -38], [-13, 13], [59, -59], [-40, 0], [0, -4], [9, 9], [0, -56], [51, 51], [25, 25], [16, 0], [-64, 0], [16, 16], [3, 3], [0, -2], [18, 0], [0, -48], [12, 12], [48, 48], [-46, 0], [0, 6], [0, 18], [0, -34], [0, -36], [-29, -29], [0, -8], [-26, 26], [-80, 0]], 'char_orbit_index': 29, 'field_poly': [1, 0, 1], 'hecke_orbit_code': 4505523806274784, 'hecke_ring_character_values': [[703, [-1, 0]], [1093, [1, 0]], [833, [1, 0]], [769, [0, 1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '1248.2.bc.b', 'level': 1248, 'maxp': 1999, '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': 4992, 'analytic_conductor': 9.965330172255792, 'char_conductor': 52, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 29, 'char_orbit_label': 'bc', 'char_order': 4, 'char_parity': 1, 'char_values': [1248, 4, [703, 1093, 833, 769], [2, 4, 4, 3]], 'conrey_index': 31, 'cusp_dim': 416, 'dim': 56, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 1924178904288, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 6, 6], 'label': '1248.2.bc', 'level': 1248, '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, 3, 13], 'level_radical': 78, 'mf_dim': 480, 'mf_new_dim': 56, 'num_forms': 20, 'prim_orbit_index': 6, 'relative_dim': 28, 'sturm_bound': 448, 'trace_bound': 11, 'trace_display': [0, 0, 8, 0], 'traces': [56, 0, 0, 0, 8, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 56, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 16, 0, 0, 0, 16, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 16, 0, 0, 0, 24, 0, 0, 0, -16, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -16, 0, 0, 0, -40, 0, 0, 0, -168, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, -96, 0, 0, 0, 64, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 168, 0, 0, 0, 24, 0, 0, 0, -32, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, -192, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 72, 0, 0, 0, -32, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -96, 0, 0, 0, 120, 0, 0, 0, -184, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, -56, 0, 0, 0, -192, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -152, 0, 0, 0, -136, 0, 0, 0, 8, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, -240, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 120, 0, 0, 0, 16, 0, 0, 0, -40, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 128, 0, 0, 0, 160, 0, 0, 0, 104, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 208, 0, 0, 0, -72, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -128, 0, 0, 0, -152, 0, 0, 0, 128, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 544, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -416, 0, 0, 0, -488, 0, 0, 0, 32, 0, 0, 0, 40, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 48, 0, 0, 0, 32, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 40, 0, 0, 0, -56, 0, 0, 0, 352, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 160, 0, 0, 0, 272, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 312, 0, 0, 0, 256, 0, 0, 0, -64, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 264, 0, 0, 0, 160, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -248, 0, 0, 0, -16, 0, 0, 0, -56, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, -64, 0, 0, 0, -192, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, -112, 0, 0, 0, 128, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -624, 0, 0, 0, 16, 0, 0, 0, 232, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 480, 0, 0, 0, -384, 0, 0, 0, -24, 0, 0, 0, -328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -96, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 320, 0, 0, 0, -112, 0, 0, 0, -392, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 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, 784, 0, 0, 0, -192, 0, 0, 0, -64, 0, 0, 0, -440, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, -48, 0, 0, 0, -560, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 684142
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 29, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1248.2.bc.b', 'source_level': 1248, 'target_char_orbit': 29, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1248.2.bc.b', 'target_level': 1248, 'twist_class_label': '1248.2.bc.b', 'twist_class_level': 1248, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 684143
    {'conductor': 52, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 29, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1248.2.bc.b', 'source_level': 1248, 'target_char_orbit': 29, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1248.2.bc.b', 'target_level': 1248, 'twist_class_label': '1248.2.bc.b', 'twist_class_level': 1248, 'twisting_char_label': '52.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 684144
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 29, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1248.2.bc.b', 'source_level': 1248, 'target_char_orbit': 29, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '1248.2.bc.c', 'target_level': 1248, 'twist_class_label': '1248.2.bc.b', 'twist_class_level': 1248, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 684145
    {'conductor': 13, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 29, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1248.2.bc.b', 'source_level': 1248, 'target_char_orbit': 29, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '1248.2.bc.c', 'target_level': 1248, 'twist_class_label': '1248.2.bc.b', 'twist_class_level': 1248, 'twisting_char_label': '13.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1799550
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4505523806274784, 'p': 2}
  • id: 1799551
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 3}
  • id: 1799552
    {'charpoly_factorization': [[[8, 4, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 5}
  • id: 1799553
    {'charpoly_factorization': [[[2, 2, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 7}
  • id: 1799554
    {'charpoly_factorization': [[[8, 4, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 11}
  • id: 1799555
    {'charpoly_factorization': [[[13, 4, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 13}
  • id: 1799556
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 17}
  • id: 1799557
    {'charpoly_factorization': [[[50, 10, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 19}
  • id: 1799558
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 4505523806274784, 'p': 23}
  • id: 1799559
    {'charpoly_factorization': [[[-10, 1], 2]], 'hecke_orbit_code': 4505523806274784, 'p': 29}
  • id: 1799560
    {'charpoly_factorization': [[[2, 2, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 31}
  • id: 1799561
    {'charpoly_factorization': [[[2, 2, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 37}
  • id: 1799562
    {'charpoly_factorization': [[[72, -12, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 41}
  • id: 1799563
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 4505523806274784, 'p': 43}
  • id: 1799564
    {'charpoly_factorization': [[[32, 8, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 47}
  • id: 1799565
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 4505523806274784, 'p': 53}
  • id: 1799566
    {'charpoly_factorization': [[[128, 16, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 59}
  • id: 1799567
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 4505523806274784, 'p': 61}
  • id: 1799568
    {'charpoly_factorization': [[[162, 18, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 67}
  • id: 1799569
    {'charpoly_factorization': [[[200, 20, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 71}
  • id: 1799570
    {'charpoly_factorization': [[[162, 18, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 73}
  • id: 1799571
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4505523806274784, 'p': 79}
  • id: 1799572
    {'charpoly_factorization': [[[32, -8, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 83}
  • id: 1799573
    {'charpoly_factorization': [[[32, -8, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 89}
  • id: 1799574
    {'charpoly_factorization': [[[162, -18, 1], 1]], 'hecke_orbit_code': 4505523806274784, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 29, 'hecke_orbit': 2, 'label': '1248.2.bc.b', 'level': 1248, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25157299
    {'hecke_orbit_code': 4505523806274784, 'n': 1, 'trace_an': 2}
  • id: 25157300
    {'hecke_orbit_code': 4505523806274784, 'n': 2, 'trace_an': 0}
  • id: 25157301
    {'hecke_orbit_code': 4505523806274784, 'n': 3, 'trace_an': 0}
  • id: 25157302
    {'hecke_orbit_code': 4505523806274784, 'n': 4, 'trace_an': 0}
  • id: 25157303
    {'hecke_orbit_code': 4505523806274784, 'n': 5, 'trace_an': -4}
  • id: 25157304
    {'hecke_orbit_code': 4505523806274784, 'n': 6, 'trace_an': 0}
  • id: 25157305
    {'hecke_orbit_code': 4505523806274784, 'n': 7, 'trace_an': -2}
  • id: 25157306
    {'hecke_orbit_code': 4505523806274784, 'n': 8, 'trace_an': 0}
  • id: 25157307
    {'hecke_orbit_code': 4505523806274784, 'n': 9, 'trace_an': -2}
  • id: 25157308
    {'hecke_orbit_code': 4505523806274784, 'n': 10, 'trace_an': 0}
  • id: 25157309
    {'hecke_orbit_code': 4505523806274784, 'n': 11, 'trace_an': -4}
  • id: 25157310
    {'hecke_orbit_code': 4505523806274784, 'n': 12, 'trace_an': 0}
  • id: 25157311
    {'hecke_orbit_code': 4505523806274784, 'n': 13, 'trace_an': -4}
  • id: 25157312
    {'hecke_orbit_code': 4505523806274784, 'n': 14, 'trace_an': 0}
  • id: 25157313
    {'hecke_orbit_code': 4505523806274784, 'n': 15, 'trace_an': -4}
  • id: 25157314
    {'hecke_orbit_code': 4505523806274784, 'n': 16, 'trace_an': 0}
  • id: 25157315
    {'hecke_orbit_code': 4505523806274784, 'n': 17, 'trace_an': 0}
  • id: 25157316
    {'hecke_orbit_code': 4505523806274784, 'n': 18, 'trace_an': 0}
  • id: 25157317
    {'hecke_orbit_code': 4505523806274784, 'n': 19, 'trace_an': -10}
  • id: 25157318
    {'hecke_orbit_code': 4505523806274784, 'n': 20, 'trace_an': 0}
  • id: 25157319
    {'hecke_orbit_code': 4505523806274784, 'n': 21, 'trace_an': -2}
  • id: 25157320
    {'hecke_orbit_code': 4505523806274784, 'n': 22, 'trace_an': 0}
  • id: 25157321
    {'hecke_orbit_code': 4505523806274784, 'n': 23, 'trace_an': 8}
  • id: 25157322
    {'hecke_orbit_code': 4505523806274784, 'n': 24, 'trace_an': 0}
  • id: 25157323
    {'hecke_orbit_code': 4505523806274784, 'n': 25, 'trace_an': 0}
  • id: 25157324
    {'hecke_orbit_code': 4505523806274784, 'n': 26, 'trace_an': 0}
  • id: 25157325
    {'hecke_orbit_code': 4505523806274784, 'n': 27, 'trace_an': 0}
  • id: 25157326
    {'hecke_orbit_code': 4505523806274784, 'n': 28, 'trace_an': 0}
  • id: 25157327
    {'hecke_orbit_code': 4505523806274784, 'n': 29, 'trace_an': 20}
  • id: 25157328
    {'hecke_orbit_code': 4505523806274784, 'n': 30, 'trace_an': 0}
  • id: 25157329
    {'hecke_orbit_code': 4505523806274784, 'n': 31, 'trace_an': -2}
  • id: 25157330
    {'hecke_orbit_code': 4505523806274784, 'n': 32, 'trace_an': 0}
  • id: 25157331
    {'hecke_orbit_code': 4505523806274784, 'n': 33, 'trace_an': -4}
  • id: 25157332
    {'hecke_orbit_code': 4505523806274784, 'n': 34, 'trace_an': 0}
  • id: 25157333
    {'hecke_orbit_code': 4505523806274784, 'n': 35, 'trace_an': 0}
  • id: 25157334
    {'hecke_orbit_code': 4505523806274784, 'n': 36, 'trace_an': 0}
  • id: 25157335
    {'hecke_orbit_code': 4505523806274784, 'n': 37, 'trace_an': -2}
  • id: 25157336
    {'hecke_orbit_code': 4505523806274784, 'n': 38, 'trace_an': 0}
  • id: 25157337
    {'hecke_orbit_code': 4505523806274784, 'n': 39, 'trace_an': -6}
  • id: 25157338
    {'hecke_orbit_code': 4505523806274784, 'n': 40, 'trace_an': 0}
  • id: 25157339
    {'hecke_orbit_code': 4505523806274784, 'n': 41, 'trace_an': 12}
  • id: 25157340
    {'hecke_orbit_code': 4505523806274784, 'n': 42, 'trace_an': 0}
  • id: 25157341
    {'hecke_orbit_code': 4505523806274784, 'n': 43, 'trace_an': -8}
  • id: 25157342
    {'hecke_orbit_code': 4505523806274784, 'n': 44, 'trace_an': 0}
  • id: 25157343
    {'hecke_orbit_code': 4505523806274784, 'n': 45, 'trace_an': 4}
  • id: 25157344
    {'hecke_orbit_code': 4505523806274784, 'n': 46, 'trace_an': 0}
  • id: 25157345
    {'hecke_orbit_code': 4505523806274784, 'n': 47, 'trace_an': -8}
  • id: 25157346
    {'hecke_orbit_code': 4505523806274784, 'n': 48, 'trace_an': 0}
  • id: 25157347
    {'hecke_orbit_code': 4505523806274784, 'n': 49, 'trace_an': 0}
  • id: 25157348
    {'hecke_orbit_code': 4505523806274784, 'n': 50, 'trace_an': 0}
  • id: 25157349
    {'hecke_orbit_code': 4505523806274784, 'n': 51, 'trace_an': 12}
  • id: 25157350
    {'hecke_orbit_code': 4505523806274784, 'n': 52, 'trace_an': 0}
  • id: 25157351
    {'hecke_orbit_code': 4505523806274784, 'n': 53, 'trace_an': 12}
  • id: 25157352
    {'hecke_orbit_code': 4505523806274784, 'n': 54, 'trace_an': 0}
  • id: 25157353
    {'hecke_orbit_code': 4505523806274784, 'n': 55, 'trace_an': 0}
  • id: 25157354
    {'hecke_orbit_code': 4505523806274784, 'n': 56, 'trace_an': 0}
  • id: 25157355
    {'hecke_orbit_code': 4505523806274784, 'n': 57, 'trace_an': 10}
  • id: 25157356
    {'hecke_orbit_code': 4505523806274784, 'n': 58, 'trace_an': 0}
  • id: 25157357
    {'hecke_orbit_code': 4505523806274784, 'n': 59, 'trace_an': -16}
  • id: 25157358
    {'hecke_orbit_code': 4505523806274784, 'n': 60, 'trace_an': 0}
  • id: 25157359
    {'hecke_orbit_code': 4505523806274784, 'n': 61, 'trace_an': -8}
  • id: 25157360
    {'hecke_orbit_code': 4505523806274784, 'n': 62, 'trace_an': 0}
  • id: 25157361
    {'hecke_orbit_code': 4505523806274784, 'n': 63, 'trace_an': 2}
  • id: 25157362
    {'hecke_orbit_code': 4505523806274784, 'n': 64, 'trace_an': 0}
  • id: 25157363
    {'hecke_orbit_code': 4505523806274784, 'n': 65, 'trace_an': -4}
  • id: 25157364
    {'hecke_orbit_code': 4505523806274784, 'n': 66, 'trace_an': 0}
  • id: 25157365
    {'hecke_orbit_code': 4505523806274784, 'n': 67, 'trace_an': -18}
  • id: 25157366
    {'hecke_orbit_code': 4505523806274784, 'n': 68, 'trace_an': 0}
  • id: 25157367
    {'hecke_orbit_code': 4505523806274784, 'n': 69, 'trace_an': 0}
  • id: 25157368
    {'hecke_orbit_code': 4505523806274784, 'n': 70, 'trace_an': 0}
  • id: 25157369
    {'hecke_orbit_code': 4505523806274784, 'n': 71, 'trace_an': -20}
  • id: 25157370
    {'hecke_orbit_code': 4505523806274784, 'n': 72, 'trace_an': 0}
  • id: 25157371
    {'hecke_orbit_code': 4505523806274784, 'n': 73, 'trace_an': -18}
  • id: 25157372
    {'hecke_orbit_code': 4505523806274784, 'n': 74, 'trace_an': 0}
  • id: 25157373
    {'hecke_orbit_code': 4505523806274784, 'n': 75, 'trace_an': 6}
  • id: 25157374
    {'hecke_orbit_code': 4505523806274784, 'n': 76, 'trace_an': 0}
  • id: 25157375
    {'hecke_orbit_code': 4505523806274784, 'n': 77, 'trace_an': 0}
  • id: 25157376
    {'hecke_orbit_code': 4505523806274784, 'n': 78, 'trace_an': 0}
  • id: 25157377
    {'hecke_orbit_code': 4505523806274784, 'n': 79, 'trace_an': 0}
  • id: 25157378
    {'hecke_orbit_code': 4505523806274784, 'n': 80, 'trace_an': 0}
  • id: 25157379
    {'hecke_orbit_code': 4505523806274784, 'n': 81, 'trace_an': 2}
  • id: 25157380
    {'hecke_orbit_code': 4505523806274784, 'n': 82, 'trace_an': 0}
  • id: 25157381
    {'hecke_orbit_code': 4505523806274784, 'n': 83, 'trace_an': 8}
  • id: 25157382
    {'hecke_orbit_code': 4505523806274784, 'n': 84, 'trace_an': 0}
  • id: 25157383
    {'hecke_orbit_code': 4505523806274784, 'n': 85, 'trace_an': 24}
  • id: 25157384
    {'hecke_orbit_code': 4505523806274784, 'n': 86, 'trace_an': 0}
  • id: 25157385
    {'hecke_orbit_code': 4505523806274784, 'n': 87, 'trace_an': 0}
  • id: 25157386
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  • id: 25157387
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  • id: 25157388
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  • id: 25157389
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  • id: 25157390
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  • id: 25157391
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  • id: 25157392
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  • id: 25157393
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  • id: 25157394
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  • id: 25157395
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  • id: 25157396
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  • id: 25157397
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  • id: 25157398
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  • id: 25157399
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  • id: 25157400
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  • id: 25157401
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  • id: 25157402
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  • id: 25157403
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  • id: 25157404
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  • id: 25157405
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  • id: 25157406
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  • id: 25157407
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  • id: 25157408
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  • id: 25157409
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  • id: 25157410
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  • id: 25157411
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  • id: 25157412
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  • id: 25157413
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  • id: 25157414
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  • id: 25157415
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  • id: 25157416
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  • id: 25157417
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  • id: 25157418
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  • id: 25157419
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  • id: 25157420
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  • id: 25157421
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  • id: 25157422
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  • id: 25157423
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  • id: 25157424
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  • id: 25157425
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  • id: 25157426
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  • id: 25157427
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  • id: 25157428
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  • id: 25157429
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  • id: 25157430
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  • id: 25157431
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  • id: 25157432
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  • id: 25157433
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  • id: 25157434
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  • id: 25157435
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  • id: 25157436
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  • id: 25157437
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  • id: 25157438
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  • id: 25157439
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  • id: 25157440
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  • id: 25157441
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  • id: 25157442
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  • id: 25157443
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  • id: 25157444
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  • id: 25157445
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  • id: 25157446
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  • id: 25157447
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  • id: 25157448
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  • id: 25157449
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  • id: 25157450
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  • id: 25157451
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  • id: 25157452
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  • id: 25157453
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  • id: 25157454
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  • id: 25157455
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  • id: 25157456
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  • id: 25157457
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  • id: 25157458
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  • id: 25157459
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  • id: 25157460
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  • id: 25157461
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  • id: 25157462
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  • id: 25157463
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  • id: 25157464
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  • id: 25157465
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  • id: 25157466
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  • id: 25157467
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  • id: 25157468
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  • id: 25157469
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  • id: 25157470
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  • id: 25157471
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  • id: 25157472
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  • id: 25157473
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  • id: 25157474
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  • id: 25157475
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  • id: 25157476
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  • id: 25157477
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  • id: 25157478
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  • id: 25157479
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  • id: 25157480
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  • id: 25157481
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  • id: 25157482
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  • id: 25157483
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  • id: 25157484
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  • id: 25157485
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  • id: 25157486
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  • id: 25157487
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  • id: 25157488
    {'hecke_orbit_code': 4505523806274784, 'n': 569, 'trace_an': 0}
  • id: 25157489
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  • id: 25157490
    {'hecke_orbit_code': 4505523806274784, 'n': 577, 'trace_an': 34}
  • id: 25157491
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  • id: 25157492
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  • id: 25157493
    {'hecke_orbit_code': 4505523806274784, 'n': 599, 'trace_an': 0}
  • id: 25157494
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  • id: 25157495
    {'hecke_orbit_code': 4505523806274784, 'n': 607, 'trace_an': 0}
  • id: 25157496
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  • id: 25157497
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  • id: 25157498
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  • id: 25157499
    {'hecke_orbit_code': 4505523806274784, 'n': 625, 'trace_an': 62}
  • id: 25157500
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  • id: 25157501
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  • id: 25157502
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  • id: 25157503
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  • id: 25157504
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  • id: 25157505
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  • id: 25157506
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  • id: 25157507
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  • id: 25157508
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  • id: 25157509
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  • id: 25157510
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  • id: 25157511
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  • id: 25157512
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  • id: 25157513
    {'hecke_orbit_code': 4505523806274784, 'n': 719, 'trace_an': -96}
  • id: 25157514
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  • id: 25157515
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  • id: 25157516
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  • id: 25157517
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  • id: 25157518
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  • id: 25157519
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  • id: 25157520
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  • id: 25157521
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  • id: 25157522
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  • id: 25157523
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  • id: 25157524
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  • id: 25157525
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  • id: 25157526
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  • id: 25157527
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  • id: 25157528
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  • id: 25157529
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  • id: 25157530
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  • id: 25157531
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  • id: 25157532
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  • id: 25157533
    {'hecke_orbit_code': 4505523806274784, 'n': 841, 'trace_an': 142}
  • id: 25157534
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  • id: 25157535
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  • id: 25157536
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  • id: 25157537
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  • id: 25157538
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  • id: 25157539
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  • id: 25157540
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  • id: 25157541
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  • id: 25157542
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  • id: 25157543
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  • id: 25157544
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  • id: 25157545
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  • id: 25157546
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  • id: 25157547
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  • id: 25157548
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  • id: 25157549
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  • id: 25157550
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  • id: 25157551
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  • id: 25157552
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  • id: 25157553
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  • id: 25157554
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  • id: 25157555
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  • id: 25157556
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