Newform data - 1850.2.b.l

Formats: - HTML - YAML - JSON - 2024-04-24T22:25:48.353659

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 7400, 'analytic_conductor': 14.772324373936872, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [1850, 2, [1777, 1001], [1, 2]], 'cm_discs': [], 'conrey_index': 149, 'conrey_indexes': [149], 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [4, 0, 8, 0, 1]], [7, [36, 0, 24, 0, 1]], [13, [64, 0, 32, 0, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539664654108474, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1850.2.b.l', 'level': 1850, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 37], 'level_radical': 370, 'minimal_twist': '370.2.a.e', 'nf_label': '4.0.144.1', 'prim_orbit_index': 2, 'qexp_display': 'q-\\zeta_{12}q^{2}+(\\zeta_{12}-\\zeta_{12}^{2})q^{3}-q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1850.2.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 204484612805552576, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.765', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '74.533', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2.313', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2085.253', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.514', 'prec': 17}, 'traces': [4, 0, 0, -4, 0, 4, 0, 0, -4, 0, -8, 0, 0, -12, 0, 4, 0, 0, -4, 0, 0, 0, 0, -4, 0, 8, 0, 0, 8, 0, -4, 0, 0, 8, 0, 4, 0, 0, 16, 0, -8, 0, 0, 8, 0, 32, 0, 0, -20, 0, 16, 0, 0, -16, 0, 12, 0, 0, 20, 0, 8, 0, 0, -4, 0, 16, 0, 0, -32, 0, -16, 0, 0, 4, 0, 4, 0, 0, -28, 0, 4, 0, 0, 0, 0, 0, 0, 0, 8, 0, 48, 0, 0, -12, 0, 4, 0, 0, -40, 0, -24, 0, 0, -8, 0, 24, 0, 0, -8, 0, -4, 0, 0, 32, 0, -8, 0, 0, 48, 0, 20, 0, 0, 4, 0, -12, 0, 0, -48, 0, -12, 0, 0, 20, 0, -8, 0, 0, 0, 0, 0, 0, 0, -4, 0, -24, 0, 0, 24, 0, -8, 0, 0, 48, 0, -16, 0, 0, -24, 0, 96, 0, 0, 8, 0, 28, 0, 0, -12, 0, -68, 0, 0, 56, 0, -8, 0, 0, 36, 0, 8, 0, 0, -32, 0, -16, 0, 0, -48, 0, -28, 0, 0, -8, 0, 20, 0, 0, -28, 0, -80, 0, 0, -16, 0, 40, 0, 0, 80, 0, -16, 0, 0, 20, 0, 16, 0, 0, 72, 0, -64, 0, 0, -12, 0, 56, 0, 0, -8, 0, 48, 0, 0, 40, 0, -20, 0, 0, 76, 0, -8, 0, 0, -8, 0, -8, 0, 0, -16, 0, 84, 0, 0, -20, 0, 4, 0, 0, 12, 0, -104, 0, 0, -16, 0, 48, 0, 0, -40, 0, -16, 0, 0, 8, 0, 32, 0, 0, 28, 0, -8, 0, 0, 16, 0, -64, 0, 0, 4, 0, 8, 0, 0, 52, 0, -4, 0, 0, -64, 0, -48, 0, 0, -4, 0, 40, 0, 0, -64, 0, 60, 0, 0, 40, 0, 28, 0, 0, 80, 0, -32, 0, 0, -4, 0, -24, 0, 0, -48, 0, -84, 0, 0, 8, 0, 0, 0, 0, -80, 0, -16, 0, 0, 0, 0, -40, 0, 0, -8, 0, 32, 0, 0, -16, 0, -8, 0, 0, 8, 0, 36, 0, 0, -48, 0, 56, 0, 0, 8, 0, 72, 0, 0, -64, 0, 12, 0, 0, -88, 0, 80, 0, 0, -4, 0, -8, 0, 0, -8, 0, -64, 0, 0, -8, 0, 40, 0, 0, 72, 0, -104, 0, 0, 24, 0, 24, 0, 0, -40, 0, -8, 0, 0, -32, 0, 8, 0, 0, 40, 0, -56, 0, 0, -24, 0, -64, 0, 0, -32, 0, 12, 0, 0, 0, 0, 8, 0, 0, 36, 0, -124, 0, 0, 4, 0, 12, 0, 0, -24, 0, 16, 0, 0, 56, 0, -32, 0, 0, 32, 0, -24, 0, 0, 8, 0, -88, 0, 0, 0, 0, -88, 0, 0, -16, 0, -48, 0, 0, 60, 0, -8, 0, 0, -20, 0, -68, 0, 0, 144, 0, -32, 0, 0, -80, 0, -4, 0, 0, -100, 0, -32, 0, 0, 12, 0, -64, 0, 0, 8, 0, -24, 0, 0, -88, 0, 48, 0, 0, 40, 0, 120, 0, 0, 12, 0, -44, 0, 0, -164, 0, 52, 0, 0, 8, 0, -20, 0, 0, 184, 0, -120, 0, 0, 8, 0, -48, 0, 0, -104, 0, 136, 0, 0, -8, 0, 0, 0, 0, 96, 0, -32, 0, 0, 0, 0, -24, 0, 0, 88, 0, -48, 0, 0, 24, 0, 4, 0, 0, -88, 0, 96, 0, 0, 24, 0, -24, 0, 0, -32, 0, -136, 0, 0, 32, 0, -24, 0, 0, -24, 0, 152, 0, 0, 8, 0, 0, 0, 0, 96, 0, 48, 0, 0, 12, 0, -48, 0, 0, 16, 0, 128, 0, 0, 16, 0, 40, 0, 0, -8, 0, 20, 0, 0, -72, 0, 24, 0, 0, 112, 0, -40, 0, 0, -96, 0, -80, 0, 0, -112, 0, -24, 0, 0, -8, 0, -8, 0, 0, 0, 0, -152, 0, 0, -28, 0, -4, 0, 0, -144, 0, 80, 0, 0, 104, 0, 12, 0, 0, -24, 0, 16, 0, 0, 68, 0, 48, 0, 0, -48, 0, 40, 0, 0, 96, 0, -56, 0, 0, 40, 0, 8, 0, 0, 8, 0, -8, 0, 0, -120, 0, 4, 0, 0, -48, 0, -36, 0, 0, 8, 0, 96, 0, 0, -8, 0, -76, 0, 0, 92, 0, 96, 0, 0, -52, 0, 32, 0, 0, 0, 0, -16, 0, 0, 16, 0, -40, 0, 0, 48, 0, -40, 0, 0, -80, 0, 48, 0, 0, -128, 0, 40, 0, 0, 28, 0, 32, 0, 0, -56, 0, 112, 0, 0, -96, 0, 8, 0, 0, 8, 0, -64, 0, 0, -20, 0, 96, 0, 0, 176, 0, 144, 0, 0, -88, 0, 28, 0, 0, 48, 0, -8, 0, 0, 80, 0, 16, 0, 0, -8, 0, -112, 0, 0, -8, 0, 16, 0, 0, 144, 0, 120, 0, 0, -40, 0, -96, 0, 0, 40, 0, 176, 0, 0, 48, 0, -80, 0, 0, -48, 0, 92, 0, 0, 16, 0, -12, 0, 0, -48, 0, -32, 0, 0, 24, 0, -20, 0, 0, -60, 0, 0, 0, 0, -16, 0, 136, 0, 0, 80, 0, 80, 0, 0, -32, 0, -72, 0, 0, 24, 0, 120, 0, 0, 64, 0, 108, 0, 0, 0, 0, -56, 0, 0, 96, 0, 12, 0, 0, -56, 0, -48, 0, 0, -56, 0, 64, 0, 0, -24, 0, 20, 0, 0, -72, 0, 8, 0, 0, 60, 0, 96, 0, 0, -48, 0, -48, 0, 0, 8, 0, 236, 0, 0, 24, 0, -40, 0, 0, 56, 0, 72, 0, 0, 20, 0, 96, 0, 0, -48, 0, 168, 0, 0, -24, 0, -76, 0, 0, 24, 0, -108, 0, 0, 8, 0, 0, 0, 0, -16, 0, 32, 0, 0, -24, 0, 8, 0, 0, -16, 0, 8, 0, 0, 8, 0, -80, 0, 0, 0, 0, 100, 0, 0, 0, 0, 16, 0, 0, 16, 0, -288, 0, 0, -84, 0, 48, 0, 0, 104, 0, -104, 0, 0, 84, 0, 20, 0, 0, -4, 0, 216, 0, 0, -4, 0, 16, 0, 0, 144, 0, -12, 0, 0, 48, 0, -12, 0, 0, -64, 0, -48, 0, 0, 104, 0, -64, 0, 0, 8, 0, 12, 0, 0, 16, 0, 16, 0, 0, 104, 0, 72, 0, 0, -48, 0, -16, 0, 0, 88, 0, 144, 0, 0, 96, 0, 40, 0, 0, -80, 0, 96, 0, 0, 16, 0, -16, 0, 0, 172, 0, -204, 0, 0, -16, 0, -8, 0, 0, 72, 0, 112, 0, 0, -32, 0, 96, 0, 0, 24, 0, 96, 0, 0, 24, 0, -28, 0, 0, 184, 0, -128, 0, 0, 8, 0, -96, 0, 0, -136, 0, 32, 0, 0, -36, 0, -16, 0, 0, 80, 0, 48, 0, 0, 64, 0, -16, 0, 0, -32, 0, 56, 0, 0, -56, 0, -4, 0, 0, 136, 0, 0, 0, 0, -8, 0, -48, 0, 0, 0, 0, -180, 0, 0, 96, 0, -52, 0, 0, -204, 0, -72, 0, 0, 4, 0, 56, 0, 0, -16, 0, 88, 0, 0, -160, 0, 64, 0, 0, 16, 0, 72, 0, 0, 48, 0, -140, 0, 0, -16, 0, -120, 0, 0, -80, 0, 4, 0, 0, -192, 0, -16, 0, 0, -40, 0, -40, 0, 0, 104, 0, -192, 0, 0, 24, 0, 64, 0, 0, -72, 0, -48, 0, 0, -60, 0, -24, 0, 0, -248, 0, -96, 0, 0, -16, 0, -40, 0, 0, 120, 0, 16, 0, 0, -28, 0, 80, 0, 0, -48, 0, 8, 0, 0, -184, 0, -80, 0, 0, 80, 0, 96, 0, 0, 32, 0, -152, 0, 0, 72, 0, 64, 0, 0, -32, 0, 4, 0, 0, -136, 0, -120, 0, 0, 24, 0, 72, 0, 0, -288, 0, -256, 0, 0, 120, 0, 48, 0, 0, -156, 0, 24, 0, 0, 84, 0, 32, 0, 0, -192, 0, -144, 0, 0, 64, 0, -8, 0, 0, -32, 0, -168, 0, 0, 0, 0, 104, 0, 0, -128, 0, -120, 0, 0, -72, 0, 80, 0, 0, -136, 0, 24, 0, 0, 16, 0, -64, 0, 0, -4, 0, -24, 0, 0, -104, 0, 0, 0, 0, -168, 0, 200, 0, 0, 40, 0, 144, 0, 0, 0, 0, -16, 0, 0, -16, 0, 8, 0, 0, 80, 0, -240, 0, 0, -32, 0, -4, 0, 0, -120, 0, -80, 0, 0, 96, 0, 16, 0, 0, 0, 0, 248, 0, 0, 8, 0, -32, 0, 0, -88, 0, 96, 0, 0, 64, 0, -8, 0, 0, 56, 0, 240, 0, 0, -36, 0, -56, 0, 0, 96, 0, -36, 0, 0, -48, 0, 48, 0, 0, 104, 0, 96, 0, 0, -56, 0, -56, 0, 0, -64, 0, 120, 0, 0, 80, 0, -8, 0, 0, 32, 0, -88, 0, 0, -72, 0, -20, 0, 0, -56, 0, -96, 0, 0, -4, 0, 64, 0, 0, -36, 0, 64, 0, 0, -12, 0, 96, 0, 0, 0, 0, -52, 0, 0, -104, 0, 88, 0, 0, -52, 0, -180, 0, 0, -80, 0, 24, 0, 0, 96, 0, 220, 0, 0, 112, 0, 4, 0, 0, -76, 0, -160, 0, 0, 8, 0, 72, 0, 0, -40, 0, 48, 0, 0, 0, 0, 8, 0, 0, 52, 0, -96, 0, 0, 64, 0, -32, 0, 0, -80, 0, -156, 0, 0, 68, 0, 8, 0, 0, -16, 0, -16, 0, 0, -40, 0, -80, 0, 0, 240, 0, 0, 0, 0, 56, 0, -72, 0, 0, -32, 0, -72, 0, 0, 104, 0, -48, 0, 0, 104, 0, -156, 0, 0, 32, 0, -24, 0, 0, 144, 0, -88, 0, 0, -24, 0, 128, 0, 0, 40, 0, -312, 0, 0, 144, 0, 40, 0, 0, 96, 0, 16, 0, 0, 8, 0, -76, 0, 0, 16, 0, -80, 0, 0, -24, 0, 32, 0, 0, 24, 0, 160, 0, 0, -8, 0, -184, 0, 0, -88, 0, 240, 0, 0, 16, 0, -40, 0, 0, 192, 0, -148, 0, 0, 56, 0, 40, 0, 0, 48, 0, -8, 0, 0, -156, 0, 24, 0, 0, 8, 0, -192, 0, 0, 64, 0, 120, 0, 0, 120, 0, -104, 0, 0, -72, 0, 32, 0, 0, 4, 0, 24, 0, 0, -12, 0, -36, 0, 0, -336, 0, -16, 0, 0, 100, 0, 0, 0, 0, 12, 0, 72, 0, 0, -8, 0, 8, 0, 0, -96, 0, -32, 0, 0, -120, 0, -36, 0, 0, 156, 0, 48, 0, 0, 124, 0, 40, 0, 0, 208, 0, -384, 0, 0, 60, 0, -4, 0, 0, 88, 0, -16, 0, 0, -12, 0, 48, 0, 0, 8, 0, 292, 0, 0, 128, 0, 24, 0, 0, -240, 0, -104, 0, 0, -16, 0, 96, 0, 0, 80, 0, -76, 0, 0, 120, 0, -56, 0, 0, -16, 0, 224, 0, 0, 32, 0, -80, 0, 0, 16, 0, 132, 0, 0, 144, 0, -32, 0, 0, -8, 0, 0, 0, 0, 24, 0, 64, 0, 0, -20, 0, -72, 0, 0, -88, 0, -8, 0, 0, 216, 0, 24, 0, 0, 88, 0, 144, 0, 0, 0, 0, -8, 0, 0, -40, 0, 0, 0, 0, 108, 0, 112, 0, 0, 88, 0, -64, 0, 0, 88, 0, -56, 0, 0, -56, 0, 16, 0, 0, -176, 0, -168, 0, 0, 48, 0, -8, 0, 0, -224, 0, -80, 0, 0, 32, 0, -60, 0, 0, 96, 0, -64, 0, 0, 8, 0, -44, 0, 0, 176, 0, 192, 0, 0, -136, 0, 20, 0, 0, 144, 0, -160, 0, 0, 68, 0, 48, 0, 0, -88, 0, -104, 0, 0, -136, 0, -144, 0, 0, -72, 0, -24, 0, 0, 32, 0, 36, 0, 0, 48, 0, -96, 0, 0, 24, 0, 80, 0, 0, 60, 0, -144, 0, 0, 4, 0, 0, 0, 0, -128, 0, -64, 0, 0, -72, 0, 100, 0, 0, 40, 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], [0, 1, -1, 0], [-1, 0, 0, 0], [0, 0, 0, 0], [1, 0, 0, -1], [0, -3, -1, 0], [0, 1, 0, 0], [-1, 0, 0, 2], [0, 0, 0, 0], [-2, 0, 0, -2], [0, -1, 1, 0], [0, 2, 2, 0], [-3, 0, 0, -1], [0, 0, 0, 0], [1, 0, 0, 0], [0, 2, 2, 0], [0, 1, -2, 0], [-1, 0, 0, -3], [0, 0, 0, 0], [0, 0, 0, -2], [0, 2, 2, 0], [0, 8, 0, 0], [-1, 0, 0, 1], [0, 0, 0, 0], [2, 0, 0, 2], [0, -4, 0, 0], [0, 3, 1, 0], [2, 0, 0, -4], [0, 0, 0, 0], [-1, 0, 0, 1], [0, -1, 0, 0], [0, 4, 0, 0], [2, 0, 0, 2], [0, 0, 0, 0], [1, 0, 0, -2], [0, 1, 0, 0], [0, 1, 3, 0], [4, 0, 0, 0], [0, 0, 0, 0], [-2, 0, 0, 0], [0, 0, 2, 0], [0, 0, -4, 0], [2, 0, 0, 2], [0, 0, 0, 0], [8, 0, 0, 0], [0, -3, -1, 0], [0, 1, -1, 0], [-5, 0, 0, -6], [0, 0, 0, 0], [4, 0, 0, 0], [0, -2, -2, 0], [0, 6, 0, 0], [-4, 0, 0, 0], [0, 0, 0, 0], [3, 0, 0, 1], [0, 8, -2, 0], [0, -2, 4, 0], [5, 0, 0, 3], [0, 0, 0, 0], [2, 0, 0, -4], [0, 1, -1, 0], [0, -3, -5, 0], [-1, 0, 0, 0], [0, 0, 0, 0], [4, 0, 0, 0], [0, 5, -5, 0], [0, -2, -2, 0], [-8, 0, 0, 8], [0, 0, 0, 0], [-4, 0, 0, 4], [0, -1, 2, 0], [0, -6, 4, 0], [1, 0, 0, 0], [0, 0, 0, 0], [1, 0, 0, 3], [0, 12, 8, 0], [0, -4, 0, 0], [-7, 0, 0, -1], [0, 0, 0, 0], [1, 0, 0, 2], [0, 2, 0, 0], [0, 7, 1, 0], [0, 0, 0, 2], [0, 0, 0, 0], [0, 0, 0, -4], [0, 14, -6, 0], [0, -2, -2, 0], [2, 0, 0, 0], [0, 0, 0, 0], [12, 0, 0, 8], [0, -8, 0, 0], [0, -4, 2, 0], [-3, 0, 0, -1], [0, 0, 0, 0], [1, 0, 0, -1], [0, -2, 0, 0], [0, 5, 6, 0], [-10, 0, 0, -2], [0, 0, 0, 0]], 'ap': [[0, -1, 0, 0], [0, 1, -1, 0], [0, 0, 0, 0], [0, -3, -1, 0], [-2, 0, 0, -2], [0, 2, 2, 0], [0, 2, 2, 0], [-1, 0, 0, -3], [0, 8, 0, 0], [2, 0, 0, -4], [-1, 0, 0, 1], [0, 1, 0, 0], [-2, 0, 0, 0], [0, 0, -4, 0], [0, -3, -1, 0], [0, 6, 0, 0], [5, 0, 0, 3], [2, 0, 0, -4], [0, 5, -5, 0], [-4, 0, 0, 4], [0, -6, 4, 0], [-7, 0, 0, -1], [0, 7, 1, 0], [2, 0, 0, 0], [0, -2, 0, 0], [-6, 0, 0, -2], [0, 10, -2, 0], [0, 5, -1, 0], [-2, 0, 0, 0], [0, 14, -2, 0], [0, -5, 5, 0], [-3, 0, 0, -9], [0, 2, 0, 0], [0, 0, 0, -4], [6, 0, 0, -6], [-2, 0, 0, -6], [0, 10, -4, 0], [0, -6, 10, 0], [0, 2, -2, 0], [0, -10, 0, 0], [9, 0, 0, -5], [2, 0, 0, 2], [-7, 0, 0, -1], [0, -2, -8, 0], [0, -2, -12, 0], [-7, 0, 0, 11], [-4, 0, 0, -8], [0, 3, -11, 0], [0, 14, 6, 0], [-2, 0, 0, 8], [0, -22, -4, 0], [19, 0, 0, 1], [-2, 0, 0, 4], [21, 0, 0, -1], [0, -22, 2, 0], [0, -11, 11, 0], [-10, 0, 0, -6], [-4, 0, 0, -12], [0, -2, 14, 0], [-2, 0, 0, -4], [0, -6, -6, 0], [0, -6, 0, 0], [0, 3, 9, 0], [15, 0, 0, -7], [0, 10, 8, 0], [0, -18, 8, 0], [-21, 0, 0, -7], [0, 26, 0, 0], [0, 24, 4, 0], [-2, 0, 0, 10], [0, -2, 8, 0], [2, 0, 0, 6], [0, -13, 5, 0], [0, -10, 12, 0], [-22, 0, 0, -6], [0, 8, 0, 0], [-2, 0, 0, 8], [0, -22, 0, 0], [-26, 0, 0, -4], [-10, 0, 0, 4], [10, 0, 0, -14], [-14, 0, 0, 8], [3, 0, 0, -3], [0, 34, 0, 0], [9, 0, 0, -13], [0, 27, -7, 0], [-6, 0, 0, 16], [0, -18, -8, 0], [-6, 0, 0, 12], [0, -12, -4, 0], [0, 6, -18, 0], [15, 0, 0, -11], [0, -6, 6, 0], [-8, 0, 0, -4], [-25, 0, 0, 9], [0, 12, 4, 0], [2, 0, 0, 0], [30, 0, 0, -2], [0, -16, -12, 0], [-30, 0, 0, 0], [0, -4, 0, 0], [0, 6, 22, 0], [0, -24, -4, 0], [22, 0, 0, 0], [-12, 0, 0, 0], [0, -14, -6, 0], [0, 24, 12, 0], [0, 14, 12, 0], [-6, 0, 0, -2], [38, 0, 0, -6], [0, -20, 12, 0], [0, -10, -4, 0], [0, 6, -4, 0], [4, 0, 0, 8], [5, 0, 0, 15], [-10, 0, 0, 2], [0, -38, 2, 0], [0, -8, -16, 0], [0, 18, 0, 0], [0, 0, 0, 4], [-38, 0, 0, 4], [0, 26, 4, 0], [0, -18, 8, 0], [0, -16, 12, 0], [10, 0, 0, -6], [2, 0, 0, -8], [-30, 0, 0, -8], [2, 0, 0, 6], [0, -12, 12, 0], [0, -14, -8, 0], [0, 0, 0, -4], [0, -5, -7, 0], [-10, 0, 0, -6], [0, -26, 16, 0], [10, 0, 0, 0], [-14, 0, 0, 4], [0, 18, -12, 0], [0, 17, 3, 0], [0, 14, -2, 0], [-2, 0, 0, -24], [-28, 0, 0, -8], [30, 0, 0, 0], [0, -19, -17, 0], [0, -6, -6, 0], [10, 0, 0, 24], [-12, 0, 0, 12], [0, 30, 0, 0], [0, -18, -8, 0], [-15, 0, 0, -17], [0, -9, 17, 0], [0, -30, 12, 0], [30, 0, 0, -10], [0, 10, -14, 0], [0, 15, -3, 0], [0, 30, 14, 0], [5, 0, 0, 19], [15, 0, 0, 1], [2, 0, 0, -8], [0, -10, -8, 0], [18, 0, 0, -6], [0, -14, 18, 0], [0, -2, -8, 0], [0, -34, -6, 0], [8, 0, 0, -4], [0, -34, 0, 0], [0, 9, -17, 0], [25, 0, 0, 11], [0, -18, -8, 0], [26, 0, 0, 18], [0, 30, 0, 0], [-1, 0, 0, 17], [54, 0, 0, -4], [-3, 0, 0, 15], [0, 10, 8, 0], [-16, 0, 0, 0], [2, 0, 0, -12], [3, 0, 0, 29], [18, 0, 0, 22], [0, 3, 25, 0], [22, 0, 0, 24], [0, 24, 8, 0], [-51, 0, 0, -1], [0, 2, -2, 0], [0, -10, 24, 0], [0, 51, 1, 0], [6, 0, 0, -16], [0, -26, 12, 0], [0, 20, 0, 0], [-34, 0, 0, 16], [14, 0, 0, 26], [0, -10, 2, 0], [0, -1, -7, 0], [-45, 0, 0, -3], [-18, 0, 0, -16], [0, 51, -7, 0], [0, 50, 8, 0], [18, 0, 0, -12], [0, -14, -2, 0], [0, 10, -28, 0], [0, -30, 22, 0], [26, 0, 0, -4], [-48, 0, 0, -8], [0, -10, 0, 0], [-62, 0, 0, -2], [30, 0, 0, -18], [0, 6, 2, 0], [20, 0, 0, 12], [0, -1, 13, 0], [18, 0, 0, -8], [16, 0, 0, 12], [0, 2, -34, 0], [-30, 0, 0, -4], [0, 16, 24, 0], [0, -13, 13, 0], [-39, 0, 0, 11], [6, 0, 0, 18], [0, -40, 0, 0], [6, 0, 0, -16], [0, -42, -6, 0], [0, 18, -8, 0], [50, 0, 0, 2], [20, 0, 0, -28], [-30, 0, 0, 6], [0, -12, -4, 0], [0, -47, -9, 0], [-22, 0, 0, 24], [0, -22, -8, 0], [14, 0, 0, 26], [0, 15, 13, 0], [-9, 0, 0, 5], [0, -62, -8, 0], [26, 0, 0, -14], [30, 0, 0, 18], [-22, 0, 0, -8], [0, -13, -31, 0], [0, -25, 25, 0], [-14, 0, 0, 8], [0, 18, 26, 0], [-9, 0, 0, 13], [-13, 0, 0, 5], [0, 8, 12, 0], [55, 0, 0, 1], [0, 7, -31, 0], [-10, 0, 0, -8], [0, -18, -16, 0], [13, 0, 0, -13], [0, 2, 22, 0], [-39, 0, 0, 7], [-4, 0, 0, 32], [0, 42, -2, 0], [0, 14, 10, 0], [-18, 0, 0, -30], [0, 3, -3, 0], [26, 0, 0, 20], [0, -14, 32, 0], [36, 0, 0, 8], [-22, 0, 0, -16], [0, -3, -13, 0], [0, 30, -20, 0], [0, 10, 0, 0], [0, 72, 0, 0], [0, 48, 4, 0], [-22, 0, 0, 0], [0, -26, -8, 0], [0, 18, -26, 0], [2, 0, 0, -22], [30, 0, 0, 18], [6, 0, 0, 32], [0, -7, 23, 0], [0, 2, 14, 0], [18, 0, 0, 4], [0, -14, -14, 0], [0, 14, 22, 0], [39, 0, 0, 17], [0, 18, 24, 0], [0, 5, -9, 0], [0, -3, 27, 0], [2, 0, 0, -24], [-26, 0, 0, -24], [-19, 0, 0, 27], [0, -51, -1, 0], [33, 0, 0, -5], [0, 49, -21, 0], [6, 0, 0, 40], [0, -10, -26, 0], [-2, 0, 0, 18], [0, -10, -6, 0], [0, 18, 20, 0], [27, 0, 0, -19], [22, 0, 0, -12], [-42, 0, 0, -12], [0, -20, -8, 0], [0, 34, 16, 0], [48, 0, 0, 20], [0, -38, -12, 0], [-22, 0, 0, -16], [-26, 0, 0, 26], [0, -30, -4, 0], [15, 0, 0, -15], [0, -17, -7, 0], [0, -10, -8, 0], [0, 42, 12, 0], [10, 0, 0, -2]], 'char_orbit_index': 2, 'field_poly': [1, 0, -1, 0, 1], 'hecke_orbit_code': 49539664654108474, 'hecke_ring_character_values': [[1777, [-1, 0, 0, 0]], [1001, [1, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_denominators': [1, 2, 2, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 1], [1, 0, 1, 0], [0, 1, 0, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 0, 0, 1], [-1, 0, 2, 0], [0, 2, 0, -1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '1850.2.b.l', 'level': 1850, 'maxp': 1999, 'weight': 2}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	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_prime	boolean
  level_is_prime_power	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': 7400, 'analytic_conductor': 14.772324373936872, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [1850, 2, [1777, 1001], [1, 2]], 'conrey_index': 149, 'cusp_dim': 274, 'dim': 54, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 13], 'hecke_orbit_code': 68753033018, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6, 6], 'label': '1850.2.b', 'level': 1850, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 37], 'level_radical': 370, 'mf_dim': 298, 'mf_new_dim': 54, 'num_forms': 16, 'prim_orbit_index': 2, 'relative_dim': 54, 'sturm_bound': 570, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [54, 0, 0, -54, 0, 4, 0, 0, -78, 0, 8, 0, 0, 0, 0, 54, 0, 0, 20, 0, 8, 0, 0, -4, 0, 0, 0, 0, 4, 0, -8, 0, 0, 0, 0, 78, 0, 0, 24, 0, 8, 0, 0, -8, 0, 24, 0, 0, -30, 0, -28, 0, 0, 20, 0, 0, 0, 0, 8, 0, 20, 0, 0, -54, 0, -28, 0, 0, 72, 0, -8, 0, 0, 10, 0, -20, 0, 0, 16, 0, 134, 0, 0, -8, 0, -28, 0, 0, 32, 0, -8, 0, 0, 24, 0, 4, 0, 0, -8, 0, 8, 0, 0, 0, 0, 12, 0, 0, -124, 0, 0, 0, 0, 44, 0, -4, 0, 0, 88, 0, 6, 0, 0, 8, 0, -24, 0, 0, 104, 0, -56, 0, 0, 68, 0, 0, 0, 0, 104, 0, -16, 0, 0, -78, 0, -16, 0, 0, 0, 0, -104, 0, 0, 104, 0, -24, 0, 0, 104, 0, -16, 0, 0, -8, 0, -20, 0, 0, -86, 0, -56, 0, 0, -36, 0, 8, 0, 0, -124, 0, 48, 0, 0, -24, 0, 8, 0, 0, -136, 0, 48, 0, 0, -20, 0, 30, 0, 0, 48, 0, 92, 0, 0, 28, 0, 40, 0, 0, 68, 0, 32, 0, 0, -36, 0, -20, 0, 0, 44, 0, -24, 0, 0, 0, 0, 0, 0, 0, 32, 0, 120, 0, 0, -24, 0, -8, 0, 0, 72, 0, -64, 0, 0, -20, 0, 36, 0, 0, -92, 0, -132, 0, 0, -16, 0, 54, 0, 0, 8, 0, -124, 0, 0, 28, 0, 56, 0, 0, 0, 0, -208, 0, 0, -56, 0, -72, 0, 0, 16, 0, 68, 0, 0, 8, 0, -32, 0, 0, -14, 0, 64, 0, 0, -92, 0, -10, 0, 0, -188, 0, -168, 0, 0, 20, 0, 20, 0, 0, -136, 0, 40, 0, 0, 12, 0, -16, 0, 0, 136, 0, 72, 0, 0, -134, 0, 160, 0, 0, 32, 0, 92, 0, 0, 24, 0, 8, 0, 0, -60, 0, -80, 0, 0, 28, 0, -44, 0, 0, 200, 0, -24, 0, 0, 80, 0, -32, 0, 0, -24, 0, -154, 0, 0, 8, 0, 0, 0, 0, -44, 0, 16, 0, 0, -164, 0, -24, 0, 0, -208, 0, 56, 0, 0, -4, 0, -24, 0, 0, 156, 0, -216, 0, 0, -52, 0, 8, 0, 0, -144, 0, -8, 0, 0, -8, 0, 112, 0, 0, 88, 0, -60, 0, 0, 112, 0, 0, 0, 0, 40, 0, 180, 0, 0, -12, 0, 16, 0, 0, -96, 0, 136, 0, 0, -24, 0, 124, 0, 0, 128, 0, -202, 0, 0, 0, 0, -16, 0, 0, 16, 0, -252, 0, 0, -84, 0, -44, 0, 0, 228, 0, 92, 0, 0, 4, 0, -20, 0, 0, -144, 0, 160, 0, 0, 156, 0, -88, 0, 0, -8, 0, 0, 0, 0, -6, 0, 24, 0, 0, -44, 0, 36, 0, 0, 104, 0, -8, 0, 0, 200, 0, -152, 0, 0, 24, 0, -88, 0, 0, 112, 0, -48, 0, 0, -20, 0, -104, 0, 0, -168, 0, 68, 0, 0, 56, 0, -96, 0, 0, 26, 0, 184, 0, 0, -92, 0, -68, 0, 0, 96, 0, -76, 0, 0, 0, 0, -112, 0, 0, -44, 0, -240, 0, 0, -120, 0, -104, 0, 0, -72, 0, 140, 0, 0, 16, 0, -192, 0, 0, 32, 0, -236, 0, 0, -120, 0, 78, 0, 0, -76, 0, -96, 0, 0, 16, 0, -68, 0, 0, 64, 0, -112, 0, 0, 308, 0, 0, 0, 0, 56, 0, 168, 0, 0, 104, 0, 232, 0, 0, 400, 0, -24, 0, 0, -20, 0, -104, 0, 0, -164, 0, -40, 0, 0, 24, 0, 156, 0, 0, 36, 0, 72, 0, 0, 68, 0, -104, 0, 0, 72, 0, -228, 0, 0, 16, 0, -140, 0, 0, 232, 0, 272, 0, 0, -120, 0, 8, 0, 0, 48, 0, -60, 0, 0, 20, 0, -30, 0, 0, -144, 0, -104, 0, 0, 272, 0, 86, 0, 0, -248, 0, -288, 0, 0, 56, 0, -120, 0, 0, -80, 0, 164, 0, 0, 0, 0, 36, 0, 0, -228, 0, 196, 0, 0, -8, 0, 76, 0, 0, -324, 0, -112, 0, 0, 240, 0, 124, 0, 0, 296, 0, 152, 0, 0, -48, 0, -168, 0, 0, -618, 0, 184, 0, 0, 152, 0, 24, 0, 0, -148, 0, 208, 0, 0, -8, 0, -100, 0, 0, -464, 0, 64, 0, 0, -232, 0, 136, 0, 0, -160, 0, -120, 0, 0, -48, 0, 140, 0, 0, -176, 0, 384, 0, 0, 108, 0, 20, 0, 0, 356, 0, 224, 0, 0, -30, 0, -64, 0, 0, 592, 0, 32, 0, 0, 44, 0, -48, 0, 0, -584, 0, 52, 0, 0, -92, 0, 136, 0, 0, 284, 0, 52, 0, 0, 12, 0, -28, 0, 0, 616, 0, -96, 0, 0, -40, 0, -48, 0, 0, -236, 0, -112, 0, 0, 332, 0, -68, 0, 0, 136, 0, 510, 0, 0, -32, 0, -232, 0, 0, -388, 0, 12, 0, 0, 40, 0, 36, 0, 0, -164, 0, 128, 0, 0, 20, 0, 152, 0, 0, 536, 0, 120, 0, 0, -32, 0, -44, 0, 0, 120, 0, 4, 0, 0, 24, 0, -100, 0, 0, -160, 0, -204, 0, 0, 88, 0, 0, 0, 0, -112, 0, 112, 0, 0, 0, 0, 64, 0, 0, 328, 0, -120, 0, 0, -296, 0, -32, 0, 0, 136, 0, -56, 0, 0, -120, 0, -124, 0, 0, -136, 0, 548, 0, 0, -136, 0, 24, 0, 0, -224, 0, 60, 0, 0, 8, 0, 280, 0, 0, -168, 0, 48, 0, 0, -292, 0, -72, 0, 0, -96, 0, -86, 0, 0, 64, 0, 120, 0, 0, 108, 0, 360, 0, 0, -8, 0, 20, 0, 0, -36, 0, 356, 0, 0, -36, 0, 168, 0, 0, -276, 0, 152, 0, 0, -128, 0, 92, 0, 0, 0, 0, -232, 0, 0, 132, 0, -100, 0, 0, -440, 0, 228, 0, 0, 12, 0, 16, 0, 0, 364, 0, 68, 0, 0, -54, 0, -292, 0, 0, 104, 0, -80, 0, 0, -32, 0, -8, 0, 0, -96, 0, 260, 0, 0, 124, 0, 52, 0, 0, -224, 0, -92, 0, 0, 216, 0, -28, 0, 0, 248, 0, 152, 0, 0, -56, 0, 300, 0, 0, -172, 0, 88, 0, 0, -4, 0, 0, 0, 0, -552, 0, 48, 0, 0, 208, 0, -400, 0, 0, 518, 0, -468, 0, 0, -60, 0, 56, 0, 0, -280, 0, 264, 0, 0, 72, 0, 320, 0, 0, -200, 0, -336, 0, 0, -160, 0, -16, 0, 0, -232, 0, -4, 0, 0, -68, 0, -20, 0, 0, -56, 0, -504, 0, 0, 88, 0, -8, 0, 0, -4, 0, -16, 0, 0, 32, 0, 568, 0, 0, 320, 0, 320, 0, 0, -88, 0, 14, 0, 0, 448, 0, -872, 0, 0, -64, 0, 128, 0, 0, -304, 0, 28, 0, 0, -16, 0, 92, 0, 0, 40, 0, -148, 0, 0, 10, 0, 64, 0, 0, 184, 0, 224, 0, 0, -80, 0, 188, 0, 0, 296, 0, 64, 0, 0, 168, 0, 72, 0, 0, 380, 0, 272, 0, 0, -36, 0, -20, 0, 0, -312, 0, 48, 0, 0, -20, 0, 276, 0, 0, 364, 0, 376, 0, 0, -156, 0, 136, 0, 0, 568, 0, 140, 0, 0, -40, 0, -280, 0, 0, -68, 0, -1028, 0, 0, -28, 0, -12, 0, 0, 380, 0, 496, 0, 0, 16, 0, -500, 0, 0, 128, 0, 280, 0, 0, -160, 0, -136, 0, 0, 640, 0, 136, 0, 0, -72, 0, -72, 0, 0, 108, 0, -120, 0, 0, -120, 0, 134, 0, 0, -448, 0, -140, 0, 0, -160, 0, -320, 0, 0, -72, 0, -608, 0, 0, 116, 0, -32, 0, 0, -424, 0, 280, 0, 0, -92, 0, -40, 0, 0, 52, 0, 132, 0, 0, -184, 0, -24, 0, 0, -320, 0, -216, 0, 0, -8, 0, 364, 0, 0, -160, 0, -168, 0, 0, 36, 0, 60, 0, 0, 376, 0, -288, 0, 0, 80, 0, 172, 0, 0, -54, 0, -12, 0, 0, 24, 0, -28, 0, 0, -48, 0, -208, 0, 0, 44, 0, -520, 0, 0, -120, 0, 48, 0, 0, 156, 0, -200, 0, 0, 144, 0, -144, 0, 0, 24, 0, -44, 0, 0, -80, 0, -380, 0, 0, 432, 0, -80, 0, 0, 112, 0, -188, 0, 0, 32, 0, -320, 0, 0, -572, 0, 80, 0, 0, 48, 0, 24, 0, 0, 168, 0, 400, 0, 0, 154, 0, 188, 0, 0, 336, 0, -28, 0, 0, -116, 0, -8, 0, 0, -112, 0, -536, 0, 0, 0, 0, 188, 0, 0, -304, 0, -296, 0, 0, 116, 0, 44, 0, 0, -456, 0, 240, 0, 0, -16, 0, -392, 0, 0, -224, 0, -32, 0, 0, 0, 0, 164, 0, 0, 36, 0, 244, 0, 0, 24, 0, -172, 0, 0, 232, 0, -128, 0, 0, -56, 0, 208, 0, 0, 72, 0, 618, 0, 0, -56, 0, -88, 0, 0, 308, 0, -116, 0, 0, 152, 0, 4, 0, 0, 84, 0, -256, 0, 0, 24, 0, 268, 0, 0, -12, 0, -208, 0, 0, -8, 0, -156, 0, 0, 192, 0, 296, 0, 0, 216, 0, -116, 0, 0, 284, 0, 16, 0, 0, 480, 0, 52, 0, 0, -112, 0, 336, 0, 0, -8, 0, -24, 0, 0, 304, 0, 64, 0, 0, -96, 0, 144, 0, 0, -152, 0, -252, 0, 0, 8, 0, -92, 0, 0, 152, 0, -48, 0, 0, -288, 0, 8, 0, 0, 0, 0, -552, 0, 0, -112, 0, -344, 0, 0, -304, 0, -152, 0, 0, -96, 0, -88, 0, 0, -32, 0, -52, 0, 0, 60, 0, -504, 0, 0, -152, 0, -48, 0, 0, 84, 0, -112, 0, 0, 312, 0, 64, 0, 0, 0, 0, -216, 0, 0, -136, 0, 24, 0, 0, -196, 0, -40, 0, 0, 40, 0, 30, 0, 0, -180, 0, 208, 0, 0, 464, 0, -276, 0, 0, -184, 0, 12, 0, 0, -320, 0, -872, 0, 0, -16, 0, 288, 0, 0, -108, 0, 224, 0, 0, 328, 0, 96, 0, 0, 152, 0, 364, 0, 0, -136, 0, -88, 0, 0, -1008, 0, -284, 0, 0, 336, 0, 24, 0, 0, 16, 0, -132, 0, 0, -124, 0, -100, 0, 0, -368, 0, 208, 0, 0, -428, 0, -128, 0, 0, 616, 0, 68, 0, 0, 202, 0, -28, 0, 0, 392, 0, 296, 0, 0, -208, 0, 0, 0, 0, 212, 0, -280, 0, 0, 16, 0, 72, 0, 0, -148, 0, 432, 0, 0, 432, 0, -16, 0, 0, 280, 0, -300, 0, 0, 252, 0, 720, 0, 0, -536, 0, 92, 0, 0, 204, 0, 84, 0, 0, 236, 0, 304, 0, 0, 44, 0, 172, 0, 0, -24, 0, 144, 0, 0, -8, 0, -228, 0, 0, -544, 0, -264, 0, 0, -92, 0, -128, 0, 0, -74, 0, -188, 0, 0, -220, 0, -4, 0, 0, -220, 0, 488, 0, 0, 20, 0, 420, 0, 0, -88, 0, 56, 0, 0, -320, 0, 144, 0, 0, -120, 0, -120, 0, 0, -160, 0, 336, 0, 0, 172, 0, 380, 0, 0, 204, 0, -156, 0, 0, 16, 0, -236, 0, 0, 88, 0, 56, 0, 0, -120, 0, 472, 0, 0, -132, 0, 8, 0, 0, -424, 0, 108, 0, 0, 0, 0, -160, 0, 0, 8, 0, 492, 0, 0, -336, 0, 6, 0, 0, 216, 0, 128, 0, 0, -24, 0, 216, 0, 0, -244, 0, -72, 0, 0, -384, 0, 44, 0, 0, -1184, 0, -112, 0, 0, -36, 0, 248, 0, 0, -44, 0, -128, 0, 0, -320, 0, -104, 0, 0, 424, 0, -88, 0, 0, 8, 0, 276, 0, 0, 760, 0, -120, 0, 0, -412, 0, -200, 0, 0, 352, 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: 826473
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '1850.2.b.l', 'source_level': 1850, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '370.2.a.e', 'target_level': 370, 'twist_class_label': '370.2.a.e', 'twist_class_level': 370, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 826474
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '1850.2.b.l', 'source_level': 1850, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '1850.2.a.x', 'target_level': 1850, 'twist_class_label': '370.2.a.e', 'twist_class_level': 370, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 826475
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '1850.2.b.l', 'source_level': 1850, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '1850.2.b.l', 'target_level': 1850, 'twist_class_label': '370.2.a.e', 'twist_class_level': 370, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 826476
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '1850.2.b.l', 'source_level': 1850, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '1850.2.b.l', 'target_level': 1850, 'twist_class_label': '370.2.a.e', 'twist_class_level': 370, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 826477
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '1850.2.b.l', 'source_level': 1850, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '2960.2.a.q', 'target_level': 2960, 'twist_class_label': '370.2.a.e', 'twist_class_level': 370, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 826478
    {'conductor': 15, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '1850.2.b.l', 'source_level': 1850, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 30, 'target_is_minimal': False, 'target_label': '3330.2.a.bd', 'target_level': 3330, 'twist_class_label': '370.2.a.e', 'twist_class_level': 370, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2253200
    {'charpoly_factorization': [[[1, 0, 1], 2]], 'hecke_orbit_code': 49539664654108474, 'p': 2}
  • id: 2253201
    {'charpoly_factorization': [[[4, 0, 8, 0, 1], 1]], 'hecke_orbit_code': 49539664654108474, 'p': 3}
  • id: 2253202
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 49539664654108474, 'p': 5}
  • id: 2253203
    {'charpoly_factorization': [[[36, 0, 24, 0, 1], 1]], 'hecke_orbit_code': 49539664654108474, 'p': 7}
  • id: 2253204
    {'charpoly_factorization': [[[-8, 4, 1], 2]], 'hecke_orbit_code': 49539664654108474, 'p': 11}
  • id: 2253205
    {'charpoly_factorization': [[[64, 0, 32, 0, 1], 1]], 'hecke_orbit_code': 49539664654108474, 'p': 13}
  • id: 2253206
    {'charpoly_factorization': [[[64, 0, 32, 0, 1], 1]], 'hecke_orbit_code': 49539664654108474, 'p': 17}
  • id: 2253207
    {'charpoly_factorization': [[[-26, 2, 1], 2]], 'hecke_orbit_code': 49539664654108474, 'p': 19}
  • id: 2253208
    {'charpoly_factorization': [[[64, 0, 1], 2]], 'hecke_orbit_code': 49539664654108474, 'p': 23}
  • id: 2253209
    {'charpoly_factorization': [[[-44, -4, 1], 2]], 'hecke_orbit_code': 49539664654108474, 'p': 29}
  • id: 2253210
    {'charpoly_factorization': [[[-2, 2, 1], 2]], 'hecke_orbit_code': 49539664654108474, 'p': 31}
  • id: 2253211
    {'charpoly_factorization': [[[1, 0, 1], 2]], 'hecke_orbit_code': 49539664654108474, 'p': 37}
  • id: 2253212
    {'charpoly_factorization': [[[2, 1], 4]], 'hecke_orbit_code': 49539664654108474, 'p': 41}
  • id: 2253213
    {'charpoly_factorization': [[[48, 0, 1], 2]], 'hecke_orbit_code': 49539664654108474, 'p': 43}
  • id: 2253214
    {'charpoly_factorization': [[[36, 0, 24, 0, 1], 1]], 'hecke_orbit_code': 49539664654108474, 'p': 47}
  • id: 2253215
    {'charpoly_factorization': [[[36, 0, 1], 2]], 'hecke_orbit_code': 49539664654108474, 'p': 53}
  • id: 2253216
    {'charpoly_factorization': [[[-2, -10, 1], 2]], 'hecke_orbit_code': 49539664654108474, 'p': 59}
  • id: 2253217
    {'charpoly_factorization': [[[-44, -4, 1], 2]], 'hecke_orbit_code': 49539664654108474, 'p': 61}
  • id: 2253218
    {'charpoly_factorization': [[[2500, 0, 200, 0, 1], 1]], 'hecke_orbit_code': 49539664654108474, 'p': 67}
  • id: 2253219
    {'charpoly_factorization': [[[-32, 8, 1], 2]], 'hecke_orbit_code': 49539664654108474, 'p': 71}
  • id: 2253220
    {'charpoly_factorization': [[[144, 0, 168, 0, 1], 1]], 'hecke_orbit_code': 49539664654108474, 'p': 73}
  • id: 2253221
    {'charpoly_factorization': [[[46, 14, 1], 2]], 'hecke_orbit_code': 49539664654108474, 'p': 79}
  • id: 2253222
    {'charpoly_factorization': [[[2116, 0, 104, 0, 1], 1]], 'hecke_orbit_code': 49539664654108474, 'p': 83}
  • id: 2253223
    {'charpoly_factorization': [[[-2, 1], 4]], 'hecke_orbit_code': 49539664654108474, 'p': 89}
  • id: 2253224
    {'charpoly_factorization': [[[4, 0, 1], 2]], 'hecke_orbit_code': 49539664654108474, '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': 2, 'hecke_orbit': 12, 'label': '1850.2.b.l', 'level': 1850, '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: 220190000
    {'hecke_orbit_code': 49539664654108474, 'n': 1, 'trace_an': 4}
  • id: 220190001
    {'hecke_orbit_code': 49539664654108474, 'n': 2, 'trace_an': 0}
  • id: 220190002
    {'hecke_orbit_code': 49539664654108474, 'n': 3, 'trace_an': 0}
  • id: 220190003
    {'hecke_orbit_code': 49539664654108474, 'n': 4, 'trace_an': -4}
  • id: 220190004
    {'hecke_orbit_code': 49539664654108474, 'n': 5, 'trace_an': 0}
  • id: 220190005
    {'hecke_orbit_code': 49539664654108474, 'n': 6, 'trace_an': 4}
  • id: 220190006
    {'hecke_orbit_code': 49539664654108474, 'n': 7, 'trace_an': 0}
  • id: 220190007
    {'hecke_orbit_code': 49539664654108474, 'n': 8, 'trace_an': 0}
  • id: 220190008
    {'hecke_orbit_code': 49539664654108474, 'n': 9, 'trace_an': -4}
  • id: 220190009
    {'hecke_orbit_code': 49539664654108474, 'n': 10, 'trace_an': 0}
  • id: 220190010
    {'hecke_orbit_code': 49539664654108474, 'n': 11, 'trace_an': -8}
  • id: 220190011
    {'hecke_orbit_code': 49539664654108474, 'n': 12, 'trace_an': 0}
  • id: 220190012
    {'hecke_orbit_code': 49539664654108474, 'n': 13, 'trace_an': 0}
  • id: 220190013
    {'hecke_orbit_code': 49539664654108474, 'n': 14, 'trace_an': -12}
  • id: 220190014
    {'hecke_orbit_code': 49539664654108474, 'n': 15, 'trace_an': 0}
  • id: 220190015
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  • id: 220190016
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  • id: 220190017
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  • id: 220190018
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  • id: 220190019
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  • id: 220190020
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  • id: 220190021
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  • id: 220190022
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  • id: 220190023
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  • id: 220190024
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  • id: 220190025
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  • id: 220190026
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  • id: 220190027
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  • id: 220190028
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  • id: 220190029
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  • id: 220190030
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  • id: 220190031
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  • id: 220190032
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  • id: 220190033
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  • id: 220190034
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  • id: 220190035
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  • id: 220190036
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  • id: 220190037
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  • id: 220190038
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  • id: 220190039
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  • id: 220190040
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  • id: 220190041
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  • id: 220190042
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  • id: 220190043
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  • id: 220190044
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  • id: 220190045
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  • id: 220190046
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  • id: 220190047
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  • id: 220190048
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  • id: 220190049
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  • id: 220190050
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  • id: 220190051
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  • id: 220190052
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  • id: 220190053
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  • id: 220190054
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  • id: 220190055
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  • id: 220190056
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  • id: 220190057
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  • id: 220190058
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  • id: 220190059
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  • id: 220190060
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  • id: 220190061
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  • id: 220190062
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  • id: 220190063
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  • id: 220190064
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  • id: 220190065
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  • id: 220190066
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  • id: 220190067
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  • id: 220190068
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  • id: 220190069
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  • id: 220190070
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  • id: 220190071
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  • id: 220190072
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  • id: 220190073
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  • id: 220190075
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  • id: 220190076
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  • id: 220190077
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  • id: 220190078
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  • id: 220190079
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  • id: 220190080
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  • id: 220190082
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  • id: 220190088
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  • id: 220190089
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  • id: 220190090
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  • id: 220190091
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  • id: 220190092
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  • id: 220190093
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  • id: 220190094
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  • id: 220190095
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  • id: 220190096
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  • id: 220190098
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  • id: 220190099
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  • id: 220190100
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  • id: 220190101
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  • id: 220190104
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  • id: 220190105
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  • id: 220190106
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  • id: 220190107
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  • id: 220190108
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  • id: 220190109
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  • id: 220190110
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  • id: 220190111
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  • id: 220190112
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  • id: 220190113
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  • id: 220190114
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  • id: 220190115
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  • id: 220190116
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  • id: 220190117
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  • id: 220190118
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  • id: 220190119
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  • id: 220190120
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  • id: 220190121
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  • id: 220190122
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  • id: 220190123
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  • id: 220190124
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  • id: 220190125
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  • id: 220190126
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  • id: 220190127
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  • id: 220190128
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  • id: 220190129
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  • id: 220190130
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  • id: 220190131
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  • id: 220190132
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  • id: 220190133
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  • id: 220190144
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  • id: 220190145
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  • id: 220190146
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  • id: 220190148
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  • id: 220190150
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  • id: 220190151
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  • id: 220190156
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  • id: 220190204
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  • id: 220190215
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  • id: 220190623
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  • id: 220190628
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  • id: 220190629
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  • id: 220190630
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  • id: 220190631
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  • id: 220190635
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  • id: 220190637
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  • id: 220190639
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  • id: 220190640
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  • id: 220190716
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  • id: 220190719
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  • id: 220190721
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  • id: 220190722
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  • id: 220190723
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  • id: 220190724
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  • id: 220190725
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  • id: 220190726
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  • id: 220190727
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  • id: 220190728
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  • id: 220190729
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  • id: 220190730
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  • id: 220190731
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  • id: 220190732
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  • id: 220190733
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  • id: 220190734
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  • id: 220190735
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  • id: 220190736
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  • id: 220190737
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  • id: 220190738
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  • id: 220190739
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  • id: 220190740
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  • id: 220190741
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  • id: 220190742
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  • id: 220190743
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  • id: 220190744
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  • id: 220190745
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  • id: 220190746
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  • id: 220190747
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  • id: 220190748
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  • id: 220190750
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  • id: 220190751
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  • id: 220190752
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  • id: 220190756
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  • id: 220190757
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  • id: 220190758
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  • id: 220190760
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  • id: 220190763
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  • id: 220190764
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  • id: 220190765
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  • id: 220190766
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  • id: 220190767
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  • id: 220190768
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  • id: 220190769
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  • id: 220190770
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  • id: 220190771
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  • id: 220190772
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  • id: 220190773
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  • id: 220190774
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  • id: 220190775
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  • id: 220190776
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  • id: 220190777
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  • id: 220190778
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  • id: 220190779
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  • id: 220190780
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  • id: 220190781
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  • id: 220190782
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  • id: 220190783
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  • id: 220190784
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  • id: 220190785
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  • id: 220190786
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  • id: 220190787
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  • id: 220190788
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  • id: 220190789
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  • id: 220190790
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  • id: 220190791
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  • id: 220190792
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  • id: 220190793
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  • id: 220190794
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  • id: 220190795
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  • id: 220190796
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  • id: 220190797
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  • id: 220190798
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  • id: 220190799
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  • id: 220190800
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  • id: 220190801
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  • id: 220190802
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  • id: 220190803
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  • id: 220190804
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  • id: 220190805
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  • id: 220190806
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  • id: 220190807
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  • id: 220190808
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  • id: 220190809
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  • id: 220190810
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  • id: 220190811
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  • id: 220190812
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  • id: 220190813
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  • id: 220190814
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  • id: 220190815
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  • id: 220190816
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  • id: 220190817
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  • id: 220190818
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  • id: 220190819
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  • id: 220190820
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  • id: 220190821
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  • id: 220190822
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  • id: 220190823
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  • id: 220190824
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  • id: 220190825
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  • id: 220190826
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  • id: 220190827
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  • id: 220190828
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  • id: 220190829
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  • id: 220190830
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  • id: 220190831
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  • id: 220190832
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  • id: 220190833
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  • id: 220190834
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  • id: 220190835
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  • id: 220190836
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  • id: 220190837
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  • id: 220190838
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  • id: 220190839
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  • id: 220190840
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  • id: 220190841
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  • id: 220190842
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  • id: 220190843
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  • id: 220190844
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  • id: 220190845
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  • id: 220190846
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  • id: 220190847
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  • id: 220190848
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  • id: 220190849
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  • id: 220190850
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  • id: 220190851
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  • id: 220190852
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  • id: 220190853
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  • id: 220190854
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  • id: 220190855
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  • id: 220190856
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  • id: 220190857
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  • id: 220190858
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  • id: 220190859
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  • id: 220190860
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  • id: 220190861
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  • id: 220190862
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  • id: 220190863
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  • id: 220190864
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  • id: 220190865
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  • id: 220190866
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  • id: 220190867
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  • id: 220190868
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  • id: 220190869
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  • id: 220190870
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  • id: 220190871
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  • id: 220190872
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  • id: 220190873
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  • id: 220190874
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  • id: 220190875
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  • id: 220190876
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  • id: 220190877
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  • id: 220190878
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  • id: 220190879
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  • id: 220190880
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  • id: 220190881
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  • id: 220190882
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  • id: 220190883
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  • id: 220190884
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  • id: 220190885
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  • id: 220190886
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  • id: 220190887
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  • id: 220190888
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  • id: 220190889
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  • id: 220190890
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  • id: 220190891
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  • id: 220190892
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  • id: 220190893
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  • id: 220190894
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  • id: 220190895
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  • id: 220190896
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  • id: 220190897
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  • id: 220190898
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  • id: 220190899
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  • id: 220190900
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  • id: 220190901
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  • id: 220190902
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  • id: 220190903
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  • id: 220190904
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  • id: 220190905
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  • id: 220190906
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  • id: 220190907
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  • id: 220190908
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  • id: 220190909
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  • id: 220190910
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  • id: 220190911
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  • id: 220190912
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  • id: 220190913
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  • id: 220190914
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  • id: 220190915
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  • id: 220190916
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  • id: 220190917
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  • id: 220190918
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  • id: 220190919
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  • id: 220190920
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  • id: 220190921
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  • id: 220190922
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  • id: 220190923
    {'hecke_orbit_code': 49539664654108474, 'n': 924, 'trace_an': -48}
  • id: 220190924
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  • id: 220190925
    {'hecke_orbit_code': 49539664654108474, 'n': 926, 'trace_an': -48}
  • id: 220190926
    {'hecke_orbit_code': 49539664654108474, 'n': 927, 'trace_an': 0}
  • id: 220190927
    {'hecke_orbit_code': 49539664654108474, 'n': 928, 'trace_an': 0}
  • id: 220190928
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  • id: 220190929
    {'hecke_orbit_code': 49539664654108474, 'n': 930, 'trace_an': 0}
  • id: 220190930
    {'hecke_orbit_code': 49539664654108474, 'n': 931, 'trace_an': 236}
  • id: 220190931
    {'hecke_orbit_code': 49539664654108474, 'n': 932, 'trace_an': 0}
  • id: 220190932
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  • id: 220190933
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  • id: 220190934
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  • id: 220190935
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  • id: 220190936
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  • id: 220190937
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  • id: 220190938
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  • id: 220190939
    {'hecke_orbit_code': 49539664654108474, 'n': 940, 'trace_an': 0}
  • id: 220190940
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  • id: 220190941
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  • id: 220190942
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  • id: 220190943
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  • id: 220190944
    {'hecke_orbit_code': 49539664654108474, 'n': 945, 'trace_an': 0}
  • id: 220190945
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  • id: 220190946
    {'hecke_orbit_code': 49539664654108474, 'n': 947, 'trace_an': 0}
  • id: 220190947
    {'hecke_orbit_code': 49539664654108474, 'n': 948, 'trace_an': 0}
  • id: 220190948
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  • id: 220190949
    {'hecke_orbit_code': 49539664654108474, 'n': 950, 'trace_an': 0}
  • id: 220190950
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  • id: 220190951
    {'hecke_orbit_code': 49539664654108474, 'n': 952, 'trace_an': 0}
  • id: 220190952
    {'hecke_orbit_code': 49539664654108474, 'n': 953, 'trace_an': 0}
  • id: 220190953
    {'hecke_orbit_code': 49539664654108474, 'n': 954, 'trace_an': -24}
  • id: 220190954
    {'hecke_orbit_code': 49539664654108474, 'n': 955, 'trace_an': 0}
  • id: 220190955
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  • id: 220190956
    {'hecke_orbit_code': 49539664654108474, 'n': 957, 'trace_an': 0}
  • id: 220190957
    {'hecke_orbit_code': 49539664654108474, 'n': 958, 'trace_an': 0}
  • id: 220190958
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  • id: 220190959
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  • id: 220190960
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  • id: 220190961
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  • id: 220190962
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  • id: 220190963
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  • id: 220190964
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  • id: 220190965
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  • id: 220190966
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  • id: 220190967
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  • id: 220190968
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  • id: 220190969
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  • id: 220190970
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  • id: 220190971
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  • id: 220190972
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  • id: 220190973
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  • id: 220190974
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  • id: 220190975
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  • id: 220190976
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  • id: 220190977
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  • id: 220190978
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  • id: 220190979
    {'hecke_orbit_code': 49539664654108474, 'n': 980, 'trace_an': 0}
  • id: 220190980
    {'hecke_orbit_code': 49539664654108474, 'n': 981, 'trace_an': 8}
  • id: 220190981
    {'hecke_orbit_code': 49539664654108474, 'n': 982, 'trace_an': 0}
  • id: 220190982
    {'hecke_orbit_code': 49539664654108474, 'n': 983, 'trace_an': 0}
  • id: 220190983
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  • id: 220190984
    {'hecke_orbit_code': 49539664654108474, 'n': 985, 'trace_an': 0}
  • id: 220190985
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  • id: 220190986
    {'hecke_orbit_code': 49539664654108474, 'n': 987, 'trace_an': 0}
  • id: 220190987
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  • id: 220190988
    {'hecke_orbit_code': 49539664654108474, 'n': 989, 'trace_an': 0}
  • id: 220190989
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  • id: 220190990
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  • id: 220190991
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  • id: 220190992
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  • id: 220190993
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  • id: 220190994
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  • id: 220190995
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  • id: 220190996
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  • id: 220190997
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  • id: 220190998
    {'hecke_orbit_code': 49539664654108474, 'n': 999, 'trace_an': 16}
  • id: 220190999
    {'hecke_orbit_code': 49539664654108474, 'n': 1000, 'trace_an': 0}