Newform data - 9450.2.a.eu

Formats: - HTML - YAML - JSON - 2024-05-06T15:45:26.005619

• 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': 37800, 'analytic_conductor': 75.45862991010996, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1], [5, -1], [7, -1]], 'atkin_lehner_string': '-+--', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [9450, 1, [9101, 6427, 6751], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 12, 'field_disc_factorization': [[2, 2], [3, 1]], 'field_poly': [-3, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 12, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[11, [-3, 0, 1]], [13, [-8, 4, 1]], [17, [-4, 1]], [19, [13, -8, 1]]], 'hecke_orbit': 125, 'hecke_orbit_code': 558446353827505386, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '9450.2.a.eu', 'level': 9450, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'minimal_twist': '1890.2.g.n', 'nf_label': '2.2.12.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}+q^{4}+q^{7}+q^{8}+\\beta q^{11}+(-2+\\cdots)q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9450.2.a', 'trace_display': [2, 0, 0, 2], 'trace_hash': 142286558826132576, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.974', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.446', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '62.408', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.041', 'prec': 17}, 'traces': [2, 2, 0, 2, 0, 0, 2, 2, 0, 0, 0, 0, -4, 2, 0, 2, 8, 0, 8, 0, 0, 0, -2, 0, 0, -4, 0, 2, 4, 0, -4, 2, 0, 8, 0, 0, -4, 8, 0, 0, -6, 0, 16, 0, 0, -2, 16, 0, 2, 0, 0, -4, 0, 0, 0, 2, 0, 4, 4, 0, 0, -4, 0, 2, 0, 0, 4, 8, 0, 0, -12, 0, -20, -4, 0, 8, 0, 0, 4, 0, 0, -6, 12, 0, 0, 16, 0, 0, -2, 0, -4, -2, 0, 16, 0, 0, 0, 2, 0, 0, 12, 0, 14, -4, 0, 0, -8, 0, 22, 0, 0, 2, 16, 0, 0, 4, 0, 4, 8, 0, -16, 0, 0, -4, 0, 0, -4, 2, 0, 0, 28, 0, 8, 4, 0, 8, 20, 0, 8, 0, 0, -12, 12, 0, 0, -20, 0, -4, 12, 0, 0, 8, 0, 0, 0, 0, -12, 4, 0, 0, -2, 0, -12, -6, 0, 12, 12, 0, 6, 0, 0, 16, 12, 0, 0, 0, 0, -2, -16, 0, -20, -4, 0, -2, 0, 0, 0, 16, 0, 0, -28, 0, -8, 0, 0, 2, 32, 0, 12, 0, 0, 12, 4, 0, 0, 14, 0, -4, -6, 0, 0, 0, 0, -8, 0, 0, -4, 22, 0, 0, -16, 0, 14, 2, 0, 16, -12, 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32, 0, -32, -8, 0, 6, 0, 0, 32, -28, 0, 0, -144, 0, 24, -52, 0, 0, 60, 0, 92, 0, 0, 54, 0, 0, 0, 8, 0, -6, 74, 0, 4, 14, 0, 66, 0, 0, -8, -12, 0, 0, 4, 0, 72, 2, 0, 8, 132, 0, 0, 0, 0, 16, 28, 0, 0, 96, 0, 32, 4, 0, 48, 44, 0, -16, 0, 0, 60, 12, 0, 0, -48, 0, -16, -104, 0, -30, 144, 0, 32, 0, 0, 16, 16, 0, 0, 12, 0, -24, 114, 0, -116, 36, 0, 12, 0, 0, -60, -56, 0, 0, -84, 0, 70, 4, 0, -96, -36, 0, 278, 0, 0, 2, -48, 0, 0, 0, 0, 36, 0, 0, -4, 48, 0, 0, 0, 0, -54, 12, 0, 0, 72, 0, 24, -20, 0, -18, -36, 0, 48, 0, 0, 4, 136, 0, 0, -96, 0, -2, -18, 0, -96, 16, 0, 52, 0, 0, -128, -6, 0, 0, 54, 0, -40, -16, 0, -96, -96, 0, 60, 0, 0, -64, 24, 0, 0, -68, 0, -44, 36, 0, -40, -24, 0, 14, 0, 0, -56, 0, 0, 0, 4, 0, 12, 86, 0, -20, -96, 0, -100, 0, 0, -120, -60, 0, 0, -20, 0, 56, 0, 0, 60, -4, 0, -20, 0, 0, 136, 0, 0, 0, -20, 0, 64, 64, 0, -6, -2, 0, -24, 0, 0, 28, 40, 0, 0, 26, 0, -8, -44, 0, 48, 52, 0, -2, 0, 0, 2, -36, 0, 0, 168, 0, 0, 0, 0, -88, -72, 0, 60, 0, 0, 36, -64, 0, 0, 50, 0, 0, -48, 0, 48, 66, 0, 12, 0, 0, -64, 44, 0, 0, -36, 0, -36, 4, 0, 12, 4, 0, 0, 0, 0, 0, -36, 0, 0, -8, 0, 72, -76, 0, -68, 40, 0, -4, 0, 0, 24, 16, 0, 0, -88, 0, 20, -12, 0, 16, 4, 0, -88, 0, 0, -36, -156, 0, 0, -8, 0, 0, -40, 0, -28, -28, 0, 84, 0, 0, -112, -4, 0, 0, 156, 0, -64, 44, 0, 6, 66, 0, 20, 0, 0, 22, -108, 0, 0, -28, 0, 12, 4, 0, 62, 8, 0, 36, 0, 0, -88, 40, 0, 0, 12, 0, -56, 96, 0, -4, -80, 0, -4, 0, 0, 68, -4, 0, 0, 10, 0, -8, -120, 0, -36, 12, 0, -16, 0, 0, -36, 66, 0, 0, 6, 0, -16, 0, 0, -48, -56, 0, 58, 0, 0, 0, -24, 0, 0, 0, 0, 108, 52, 0, 104, 14, 0, -6, 0, 0, 192, -8, 0, 0, 0, 0, 72, -46, 0, 2, -72, 0, -112, 0, 0, 84, -20, 0, 0, 32, 0, 0, 104, 0, 4, 32, 0, 60, 0, 0, -24, 36, 0, 0, 68, 0, 42, 16, 0, -78, -44, 0, -8, 0, 0, 96, 72, 0, 0, 32, 0, -12, 0, 0, -4, -68, 0, 12, 0, 0, -32, -4, 0, 0, -44, 0, -16, -8, 0, 64, -32, 0, 16, 0, 0, 84, -80, 0, 0, 8, 0, -36, -60, 0, 72, 24, 0, -64, 0, 0, -32, 52, 0, 0, -16, 0, 24, -4, 0, -36, -10, 0, -46, 0, 0, 12, 384, 0, 0, -52, 0, -40, 84, 0, -28, 46, 0, -72, 0, 0, -112, 4, 0, 0, 24, 0, -48, -38, 0, -18, 0, 0, -132, 0, 0, 32, 64, 0, 0, 24, 0, 52, 8, 0, -28, -40, 0, -72, 0, 0, 56, -24, 0, 0, -32, 0, 4, -72, 0, -48, 90, 0, 12, 0, 0, 12, 4, 0, 0, 14, 0, 0, -128, 0, 92, 32, 0, 4, 0, 0, 82, -14, 0, 0, 12, 0, -96, 28, 0, 80, 16, 0, -92, 0, 0, -60, 28, 0, 0, 32, 0, -4, 132, 0, 56, 8, 0, -66, 0, 0, -84, -52, 0, 0, -156, 0, -32, -6, 0, 16, 66, 0, 128, 0, 0, 40, 0, 0, 0, 28, 0, -28, -120, 0, 86, 32, 0, -26, 0, 0, -28, 2, 0, 0, 120, 0, 48, 0, 0, 0, -24, 0, -56, 0, 0, -8, 48, 0, 0, -20, 0, -16, -148, 0, 4, 0, 0, -64, 0, 0, -16, 8, 0, 0, -52, 0, 12, 40, 0, -104, -28, 0, 32, 0, 0, 16, 24, 0, 0, 0, 0, -12, -60, 0, 36, 56, 0, -8, 0, 0, 36, -8, 0, 0, -208, 0, 44, 48, 0, -24, -24, 0, -32, 0, 0, -76, -60, 0, 0, -12, 0, 4, -22, 0, 16, 56, 0, -12, 0, 0, 80, -28, 0, 0, 140, 0, 102, -28, 0, -60, 48, 0, 74, 0, 0, -4, 120, 0, 0, -24, 0, 4, -12, 0, -14, -112, 0, -80, 0, 0, 24, 22, 0, 0, 84, 0, -28, 0, 0, 4, 124, 0, -96, 0, 0, 56, -44, 0, 0, -28, 0, -40, -32, 0, 36, -56, 0, 16, 0, 0, -12, -20, 0, 0, -4, 0, -72, -78, 0, -96, 72, 0, 98, 0, 0, -88, 124, 0, 0, -16, 0, 96, 64, 0, 68, -12, 0, 6, 0, 0, 64, 12, 0, 0, -288, 0, -24, -12, 0, -4, -76, 0, -104, 0, 0, -64, 28, 0, 0, -42, 0, 14, 72, 0, -28, 76, 0, -78, 0, 0, -20, 44, 0, 0, 0, 0, -106, 2, 0, -12, 0, 0, 72, 0, 0, -20, 12, 0, 0, -20, 0, 24, 192, 0, 92, 76, 0, 0, 0, 0, 8, -24, 0, 0, 36, 0, -60, 8, 0, 16, 0, 0, -12, 0, 0, 84, 58, 0, 0, -4, 0, 76, -94, 0, -16, -12, 0, 44, 0, 0, 112, -32, 0, 0, 72, 0, 62, 16, 0, -72, 42, 0, 6, 0, 0, -12, -72, 0, 0, 16, 0, -32, 44, 0, 50, 32, 0, 8, 0, 0, -80, 28, 0, 0, 48, 0, 56, -24, 0, -56, 20, 0, 16, 0, 0, 42, 16, 0, 0, 24, 0, -10, -16, 0, -36, 12, 0, 44, 0, 0, 80, 66, 0, 0, 164, 0, -20, -28, 0, 88, 6, 0, 56, 0, 0, 4, 80, 0, 0, -60, 0, -48, -148, 0, 262, 64, 0, 8, 0, 0, 74, 32, 0, 0, -36, 0, 140, 34, 0, 8, 48, 0, -52, 0, 0, -132, 140, 0, 0, -8, 0, -16, 36, 0, 32, 4, 0, -12, 0, 0, 4, 52, 0, 0, 104, 0, -48, 34, 0, -2, 0, 0, 28, 0, 0, 54, 0, 0, 0, 4, 0, -78, 24, 0, -18, -48, 0, 12, 0, 0, -2, -18, 0, 0, 56, 0, -32, 0, 0, 88, -12, 0, 8, 0, 0, 12, 22, 0, 0, -42, 0, 8, 0, 0, 8, -12, 0, -120, 0, 0, 24, 12, 0, 0, -52, 0, -72, 16, 0, -108, -16, 0, -40, 0, 0, 0, 108, 0, 0, 20, 0, 72, 48, 0, 36, 64, 0, -48, 0, 0, 80, -28, 0, 0, -24, 0, -48, 0, 0, 0, 4, 0, -48, 0, 0, -80, 184, 0, 0, 28, 0, -44, 192, 0, 4, -16, 0, -72, 0, 0, -28, 20, 0, 0, 2, 0, -30, 36, 0, -64, 90, 0, -70, 0, 0, 8, 32, 0, 0, 32, 0, 38, -32, 0, 120, 140, 0, 0, 0, 0, -160, 0, 0, 0, 44, 0, -8, 68, 0, 0, 108, 0, -140, 0, 0, -144, 168, 0, 0, -120, 0, -24, -96, 0, -168, 56, 0, 0, 0, 0, -4, -12, 0, 0, 28, 0, -8, 16, 0, -16, 96, 0, -12, 0, 0, -28, -136, 0, 0, -40, 0, 12, 16, 0, 128, -32, 0, -52, 0, 0, 88, -4, 0, 0, -48, 0, 16, -38, 0, -12, 96, 0, 72, 0, 0, -48, -12, 0, 0, 40, 0, 8, -12, 0, -116, -28, 0, -44, 0, 0, -56, -48, 0, 0, 68, 0, -126, 12, 0, -90, 36, 0, -36, 0, 0, 16, 48, 0, 0, 16, 0, -6, -40, 0, -56, -64, 0, -4, 0, 0, 84, -48, 0, 0, 40, 0, -80, 8, 0, -22, -36, 0, -32, 0, 0, 104, 48, 0, 0, -2, 0, -12, 12, 0, 24, -76, 0, 2, 0, 0, 80, 40, 0, 0, -32, 0, 64, -4, 0, -32, 12, 0, -176, 0, 0, 28, 72, 0, 0, 0, 0, 12, 104, 0, 48, 0, 0, 24, 0, 0, -288, -20, 0, 0, 8, 0, -104, 2, 0, 2, 0, 0, 148, 0, 0, 24, -18, 0, 0, 68, 0, -56, -4, 0, 148, 24, 0, -64, 0, 0, 40, -36, 0, 0, -40, 0, -10, -64, 0, -148, 78, 0, 60, 0, 0, 8, 88, 0, 0, -12, 0, 72, 16, 0, 60, 76, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 32, 28, 0, -76, -172, 0, -72, 0, 0, 48, 116, 0, 0, 132, 0, 42, 0, 0, -48, 12, 0, 66, 0, 0, 16, 64, 0, 0, -68, 0, -16, 50, 0, -20, -192, 0, -48, 0, 0, 28, 60, 0, 0, 54, 0, -60, -112, 0, 20, -18, 0, -80, 0, 0, -20, 42, 0, 0, 0, 0, 24, 16, 0, -16, 64, 0, -96, 0, 0, 44, 6, 0, 0, 104, 0, 0, 48, 0, 160, -20, 0, 8, 0, 0, 92, 0, 0, 0, -86, 0, 108, -52, 0, 48, -28, 0, 16, 0, 0, 30, -28, 0, 0, 8, 0, -24, 200, 0, 28, -64, 0, -36, 0, 0, 64, -24, 0, 0, -4, 0, -20, 128, 0, -32, -56, 0, 24, 0, 0, -14, -8, 0, 0, -128, 0, 4, -54, 0, -60, -44, 0, 52, 0, 0, -16, 34, 0, 0, -48, 0, 112, -2, 0, 32, 56, 0, -28, 0, 0, 0, -120, 0, 0, -48, 0, -16, 4, 0, -24], '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], [1, 0], [0, 0], [1, 0], [0, 0], [0, 0], [1, 0], [1, 0], [0, 0], [0, 0], [0, 1], [0, 0], [-2, 2], [1, 0], [0, 0], [1, 0], [4, 0], [0, 0], [4, -1], [0, 0], [0, 0], [0, 1], [-1, -2], [0, 0], [0, 0], [-2, 2], [0, 0], [1, 0], [2, 2], [0, 0], [-2, -1], [1, 0], [0, 0], [4, 0], [0, 0], [0, 0], [-2, -3], [4, -1], [0, 0], [0, 0], [-3, -4], [0, 0], [8, 2], [0, 1], [0, 0], [-1, -2], [8, -2], [0, 0], [1, 0], [0, 0], [0, 0], [-2, 2], [0, 8], [0, 0], [0, 0], [1, 0], [0, 0], [2, 2], [2, 4], [0, 0], [0, 8], [-2, -1], [0, 0], [1, 0], [0, 0], [0, 0], [2, -6], [4, 0], [0, 0], [0, 0], [-6, -1], [0, 0], [-10, 4], [-2, -3], [0, 0], [4, -1], [0, 1], [0, 0], [2, -4], [0, 0], [0, 0], [-3, -4], [6, -2], [0, 0], [0, 0], [8, 2], [0, 0], [0, 1], [-1, 0], [0, 0], [-2, 2], [-1, -2], [0, 0], [8, -2], [0, 0], [0, 0], [0, -4], [1, 0], [0, 0], [0, 0]], 'ap': [[1, 0], [0, 0], [0, 0], [1, 0], [0, 1], [-2, 2], [4, 0], [4, -1], [-1, -2], [2, 2], [-2, -1], [-2, -3], [-3, -4], [8, 2], [8, -2], [0, 8], [2, 4], [0, 8], [2, -6], [-6, -1], [-10, 4], [2, -4], [6, -2], [-1, 0], [0, -4], [6, -4], [7, -2], [-4, 0], [11, 2], [8, 2], [-2, 2], [14, -4], [10, -2], [4, 2], [6, -4], [0, -10], [-6, -2], [-6, -2], [6, -4], [6, -7], [-8, -2], [-10, -8], [-14, -3], [-4, 8], [16, -2], [6, 11], [0, 6], [7, -6], [-6, 12], [4, -4], [16, 2], [8, -2], [0, 6], [8, 8], [12, -9], [21, 2], [-1, 10], [0, -6], [10, 11], [0, -6], [-16, -4], [12, 4], [17, -4], [6, 6], [14, -10], [22, 4], [8, 12], [-20, 1], [-15, 4], [18, 8], [0, -5], [-32, -2], [13, -6], [2, -3], [-14, 0], [18, 4], [0, 4], [16, 6], [-18, -6], [-20, 10], [20, -2], [1, -2], [2, -13], [-14, 14], [-28, -6], [3, 8], [-10, 0], [8, 13], [-5, -6], [-14, -8], [4, 14], [0, -12], [16, -6], [-12, 17], [-14, -4], [-2, -6], [14, 16], [21, -12], [25, 4], [-1, 2], [-20, 0], [-16, -6], [14, -6], [-6, 16], [-28, 2], [-16, 10], [-2, -4], [0, -25], [30, -7], [-10, -6], [8, -12], [-30, -11], [2, 4], [-20, -5], [6, 8], [10, 4], [-23, -4], [24, 2], [6, 8], [0, -13], [-2, -14], [-4, -8], [-14, 19], [7, -8], [-8, -14], [2, -6], [-9, -2], [-34, 8], [28, -12], [14, -8], [-44, -2], [33, 6], [-2, 8], [0, -8], [22, -16], [-2, 30], [6, 21], [0, 8], [-2, -13], [-26, 2], [-36, -1], [-36, -10], [6, 28], [-7, 8], [40, -2], [14, 2], [8, 28], [-4, 1], [-12, -7], [28, -12], [-20, -12], [-39, 8], [-44, 4], [6, 18], [38, 4], [8, -14], [-28, -8], [-30, -8], [-8, -20], [17, 22], [-9, -24], [-6, -2], [-22, 8], [18, 10], [0, -24], [28, 6], [-26, 6], [4, -30], [-11, -28], [-38, -5], [0, -22], [12, -22], [-32, 6], [4, -23], [-38, 9], [27, 4], [-40, 0], [-26, 8], [15, 6], [-16, 20], [22, -4], [-16, 10], [-50, -3], [0, -4], [-37, 6], [51, 6], [0, 16], [-20, 16], [13, -24], [-24, -4], [-10, 22], [-24, -12], [-20, 18], [54, -4], [17, 0], [16, 25], [-19, 8], [24, 0], [20, 11], [2, 20], [-2, 6], [-14, -17], [-30, -4], [12, 0], [-66, 2], [-4, -32], [-24, -2], [13, 12], [-12, 30], [-28, 6], [52, 11], [-23, -18], [-36, 6], [-36, 2], [4, 12], [-4, -4], [-6, -22], [27, 0], [33, -18], [4, -36], [22, 8], [-28, -22], [18, 18], [-48, -10], [26, 24], [-3, 26], [-48, 3], [-22, 9], [43, 6], [-60, 5], [-10, 19], [0, -17], [26, -22], [18, -20], [25, 16], [6, -34], [22, -4], [6, 10], [36, -2], [-18, -30], [3, 24], [4, -25], [5, -30], [33, 6], [-24, 11], [54, 4], [-23, 6], [42, -18], [18, 26], [-39, 10], [-4, 28], [42, -16], [-32, 0], [26, 0], [-18, -3], [-20, -31], [23, 10], [-19, 24], [-36, -20], [14, 0], [16, -30], [-33, -20], [-26, -10], [-10, -28], [-32, 11], [4, 1], [-6, 18], [-38, 0], [-6, -20], [-30, -26], [-56, 10], [0, 8], [-14, 6], [-10, 26], [-6, 28], [-21, -30], [-39, -12], [22, 0], [38, -24], [42, 10], [-36, -10], [16, 26], [22, 0], [32, 14], [17, -36], [-66, 5], [-4, -11], [-6, 16], [26, -17], [-39, 0], [6, 4], [-60, -2], [-54, 2], [-40, -6], [14, 21], [19, -6], [70, 9], [-8, 32], [6, 2], [-19, 0], [20, 6], [-22, 14], [-24, -14], [-45, -4], [-32, -14], [4, -29], [1, 16], [20, -10], [6, 23], [34, 15], [-74, 0], [36, -2], [24, -16], [66, -2], [33, -18], [32, 4], [-30, 18], [22, 17], [52, -4], [-12, -30], [-32, -14], [64, 9], [-7, 42], [-64, 6], [16, 8], [56, -16], [40, 14], [13, -32], [-72, 4], [-28, 10], [31, -30], [-36, -10], [-26, -15], [42, 26], [-38, 10], [-28, 8], [3, 26], [32, -15], [-8, 42], [-25, 18], [22, -15], [-2, 2], [-30, -12], [22, 6], [-30, -20], [-44, 2], [-28, 10], [-6, 22], [-6, -14], [-16, 0], [-12, 11], [16, 0], [32, 4], [57, 18], [41, 14], [-44, 27], [10, 32], [84, -4], [-6, 8], [-36, 12], [-12, -28], [-21, -32], [16, 8], [32, -25], [-56, -20], [-12, 1], [34, -29], [-22, 28], [21, -8], [-12, -11], [32, 33], [-12, 12], [-48, -2], [58, -15], [46, -1], [2, -8], [-12, -34], [0, 26], [-47, -24], [-26, 14], [57, -6], [28, -6], [-18, -46], [-66, 4], [20, 3], [-84, 6], [52, 18], [-28, 0], [-40, 12], [36, -20], [62, -12], [-18, -11], [16, 7], [16, 8], [-72, -10], [12, 15], [46, -15], [37, -32], [2, -16], [2, -38], [0, 18], [14, -30], [30, -20], [72, -13], [57, 10], [-58, -19], [-30, 29], [-42, 30], [35, -12], [0, 8], [12, 32], [-18, 36], [68, 16], [-48, 20], [-64, -4], [27, 22], [18, 15], [-28, -20], [-48, -16], [-30, 12], [0, -16], [68, -8], [-1, -30], [-22, 20], [0, -2], [-36, 20], [-32, 44], [-24, 4], [24, 21], [-38, 26], [-34, -12], [-44, -1], [-44, -20], [-78, 14], [-56, -2], [78, 8], [10, 8], [31, -14], [-44, -22], [-2, -27], [-2, -32], [-60, -18], [29, 34], [26, 3], [52, 30], [-36, 4], [21, -36], [-22, 16], [-4, -12], [-2, 12], [-16, 2], [-22, -46], [-40, -8], [-30, -16], [-16, -31], [-8, -16], [-23, 22], [12, 30], [-24, -12], [0, 10], [-66, -14], [-14, 10], [-64, 7], [46, 24], [41, 0], [-48, -8], [-46, 28], [14, 30], [66, -22], [28, 1], [-16, -24], [33, -8], [-60, -18], [43, -16], [60, 26], [24, 20], [-74, -22], [2, 21], [-14, -26], [12, -22], [22, 16], [-11, -8], [40, 28], [70, -8], [51, -22], [24, 0], [37, 2], [42, 26], [-48, -18], [18, 8], [-6, 40], [36, 30], [49, 28], [62, 23], [32, -30], [34, -28], [32, -20], [-38, -14], [-52, -10], [-14, -14], [0, 44], [-53, 2], [6, -62], [4, 0], [-30, 47], [0, 41], [29, -26], [-8, -30], [56, -8], [31, -24], [22, -38], [24, -14], [28, -30], [10, 18], [-18, -16], [40, 31], [82, 16], [28, -8], [-74, -9], [37, 10], [70, 1], [-26, -18], [52, 2], [0, -28], [14, 10], [12, -14], [-16, 12], [-6, -41], [11, -48], [-26, 16], [-36, 30], [54, 4], [40, 12], [-12, 45], [-24, -6], [92, -8], [-14, 18], [1, -16], [-35, 8], [-80, -6], [22, -30], [54, 16], [-70, 23], [84, -12], [-48, 20], [-84, -8], [-4, 22], [48, 32], [44, -4], [-6, 16], [34, 46], [-63, -16], [18, 52], [24, 18], [-20, -19], [-28, 22], [42, 0], [6, 8], [12, 17], [40, -13], [36, 48], [52, 6], [4, 28], [-52, -2], [74, -22], [74, 8], [39, 2], [30, -26], [44, 24], [8, 23], [16, -55], [-86, -15], [-36, -22], [8, -48], [10, 0], [0, 17], [32, 15], [-48, 15], [24, 20], [80, -10], [-43, -8], [54, 0], [-14, 8], [100, 4], [14, -18], [-2, -45], [-10, -26], [-4, -60], [-27, 24], [-8, -24]], 'char_orbit_index': 1, 'field_poly': [-3, 0, 1], 'hecke_orbit_code': 558446353827505386, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '9450.2.a.eu', 'level': 9450, 'maxp': 4297, '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

  
  {'AL_dims': [[[[2, -1], [3, -1], [5, -1], [7, -1]], 8, 7], [[[2, -1], [3, 1], [5, 1], [7, -1]], 7, 6], [[[2, 1], [3, 1], [5, -1], [7, -1]], 10, 8], [[[2, -1], [3, 1], [5, -1], [7, -1]], 12, 10], [[[2, 1], [3, 1], [5, 1], [7, -1]], 10, 8], [[[2, 1], [3, -1], [5, -1], [7, -1]], 10, 9], [[[2, 1], [3, -1], [5, 1], [7, -1]], 8, 7], [[[2, -1], [3, -1], [5, 1], [7, 1]], 7, 6], [[[2, -1], [3, -1], [5, -1], [7, 1]], 12, 9], [[[2, 1], [3, -1], [5, -1], [7, 1]], 10, 7], [[[2, 1], [3, -1], [5, 1], [7, 1]], 10, 9], [[[2, -1], [3, 1], [5, 1], [7, 1]], 11, 11], [[[2, -1], [3, -1], [5, 1], [7, -1]], 11, 9], [[[2, 1], [3, 1], [5, 1], [7, 1]], 8, 8], [[[2, -1], [3, 1], [5, -1], [7, 1]], 8, 6], [[[2, 1], [3, 1], [5, -1], [7, 1]], 10, 8]], 'ALdims': [8, 10, 10, 10, 10, 8, 10, 10, 11, 7, 8, 12, 7, 11, 12, 8], 'Nk2': 37800, 'analytic_conductor': 75.45862991010996, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [9450, 1, [9101, 6427, 6751], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 2089, 'dim': 152, 'eis_dim': 143, 'eis_new_dim': 0, 'hecke_cutter_primes': [11, 13, 17, 19], 'hecke_orbit_code': 33563882, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'label': '9450.2.a', 'level': 9450, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'mf_dim': 2232, 'mf_new_dim': 152, 'num_forms': 128, 'plus_dim': 66, 'prim_orbit_index': 1, 'relative_dim': 152, 'sturm_bound': 4320, 'trace_bound': 17, 'trace_display': [0, 0, 0, 0], 'traces': [152, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 152, 0, 0, 8, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, -20, 0, 0, 0, 0, 0, -4, 0, 0, 8, 0, 0, 152, 0, 0, -8, 0, 0, 0, 0, 0, -28, 0, 0, -16, 0, 0, 152, 0, 0, 12, 0, 0, 0, 0, 0, -24, 0, 0, 8, 0, 0, 8, 0, 0, -32, 0, 0, 0, 0, 0, 4, 0, 0, -4, 0, 0, -8, 0, 0, 48, 0, 0, 0, 0, 0, 64, 0, 0, -28, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -4, 0, 0, -8, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 96, 0, 0, 8, 0, 0, -40, 0, 0, 0, 0, 0, 76, 0, 0, 24, 0, 0, 252, 0, 0, -4, 0, 0, 0, 0, 0, -24, 0, 0, 72, 0, 0, 8, 0, 0, -8, 0, 0, 0, 0, 0, 12, 0, 0, 152, 0, 0, 96, 0, 0, 56, 0, 0, 0, 0, 0, -8, 0, 0, -12, 0, 0, 64, 0, 0, -64, 0, 0, 0, 0, 0, 136, 0, 0, 248, 0, 0, 352, 0, 0, -28, 0, 0, 0, 0, 0, -36, 0, 0, 376, 0, 0, -16, 0, 0, -40, 0, 0, 0, 0, 0, 36, 0, 0, 152, 0, 0, -8, 0, 0, 96, 0, 0, 0, 0, 0, 12, 0, 0, -88, 0, 0, 200, 0, 0, -12, 0, 0, 0, 0, 0, 208, 0, 0, -32, 0, 0, 444, 0, 0, -24, 0, 0, 0, 0, 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0, 32, 0, 0, 232, 0, 0, 0, 0, 0, 400, 0, 0, -88, 0, 0, -104, 0, 0, -516, 0, 0, 0, 0, 0, -48, 0, 0, 56, 0, 0, -488, 0, 0, -672, 0, 0, 0, 0, 0, 76, 0, 0, -256, 0, 0, -352, 0, 0, -848, 0, 0, 0, 0, 0, 80, 0, 0, -256, 0, 0, 576, 0, 0, 8, 0, 0, 0, 0, 0, 264, 0, 0, -464, 0, 0, -424, 0, 0, -208, 0, 0, 0, 0, 0, -32, 0, 0, 24, 0, 0, 728, 0, 0, -492, 0, 0, 0, 0, 0, -244, 0, 0, -368, 0, 0, -216, 0, 0, -576, 0, 0, 0, 0, 0, -180, 0, 0, -184, 0, 0, -188, 0, 0, -60, 0, 0, 0, 0, 0, -96, 0, 0, -256, 0, 0, 252, 0, 0, -656, 0, 0, 0, 0, 0, -536, 0, 0, -64, 0, 0, -432, 0, 0, -448, 0, 0, 0, 0, 0, 96, 0, 0, -476, 0, 0, 56, 0, 0, 148, 0, 0, 0, 0, 0, 136, 0, 0, -108, 0, 0, -560, 0, 0, -4, 0, 0, 0, 0, 0, -152, 0, 0, 1680, 0, 0, 280, 0, 0, -632, 0, 0, 0, 0, 0, -48, 0, 0, 20, 0, 0, -120, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, -1064, 0, 0, -104, 0, 0, 36, 0, 0, 0, 0, 0, 648, 0, 0, -464, 0, 0, 268, 0, 0, -40, 0, 0, 0, 0, 0, 40, 0, 0, -48, 0, 0, 136, 0, 0, -448, 0, 0, 0, 0, 0, -32, 0, 0, 468, 0, 0, 456, 0, 0, -28, 0, 0, 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0, 0, 524, 0, 0, -184, 0, 0, 64, 0, 0, 0, 0, 0, 176, 0, 0, 1384, 0, 0, 64, 0, 0, -236, 0, 0, 0, 0, 0, 544, 0, 0, -256, 0, 0, -608, 0, 0, -304, 0, 0, 0, 0, 0, 180, 0, 0, 308, 0, 0, 208, 0, 0, 296, 0, 0, 0, 0, 0, 552, 0, 0, -448, 0, 0, 804, 0, 0, -64, 0, 0, 0, 0, 0, 32, 0, 0, 396, 0, 0, -88, 0, 0, 408, 0, 0, 0, 0, 0, -112, 0, 0, 176, 0, 0, -352, 0, 0, 460, 0, 0, 0, 0, 0, -88, 0, 0, -480, 0, 0, -80, 0, 0, 752, 0, 0, 0, 0, 0, 812, 0, 0, -512, 0, 0, -672, 0, 0, -100, 0, 0, 0, 0, 0, 112, 0, 0, 184, 0, 0, -100, 0, 0, 488, 0, 0, 0, 0, 0, 680, 0, 0, -112, 0, 0, -216, 0, 0, 40, 0, 0, 0, 0, 0, 136, 0, 0, 488, 0, 0, -516, 0, 0, -24, 0, 0, 0, 0, 0, -208, 0, 0, 96, 0, 0, 128, 0, 0, -56, 0, 0, 0, 0, 0, 164, 0, 0, 280, 0, 0, 400, 0, 0, 792, 0, 0, 0, 0, 0, -108, 0, 0, 248, 0, 0, 168, 0, 0, -328, 0, 0, 0, 0, 0, 240, 0, 0, 64, 0, 0, -424, 0, 0, -464, 0, 0, 0, 0, 0, -1120, 0, 0, -152, 0, 0, 452, 0, 0, 312, 0, 0, 0, 0, 0, -220, 0, 0, -380, 0, 0, 352, 0, 0, -312, 0, 0, 0, 0, 0, -240, 0, 0, -16, 0, 0, 528, 0, 0, 264, 0, 0, 0, 0, 0, 80, 0, 0, -728, 0, 0, -312, 0, 0, 328, 0, 0, 0, 0, 0, -208, 0, 0, 1280, 0, 0, 288, 0, 0, -28, 0, 0, 0, 0, 0, 388, 0, 0, 168, 0, 0, 8, 0, 0, 656, 0, 0, 0, 0, 0, -492, 0, 0, 32, 0, 0, 1516, 0, 0, -660, 0, 0, 0, 0, 0, 24, 0, 0, 824, 0, 0, -260, 0, 0, 344, 0, 0, 0, 0, 0, -396, 0, 0, 4, 0, 0, 760, 0, 0, -216, 0, 0, 0, 0, 0, -376, 0, 0, 772, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, -952, 0, 0, 304, 0, 0, 1560, 0, 0, 104, 0, 0, 0, 0, 0, -36, 0, 0, 80, 0, 0, -768, 0, 0, 572, 0, 0, 0, 0, 0, 112, 0, 0, -288, 0, 0, -96, 0, 0, -72, 0, 0, 0, 0, 0, 376, 0, 0, 656, 0, 0, 120, 0, 0, 488, 0, 0, 0, 0, 0, 536, 0, 0, 376, 0, 0, 108, 0, 0, -712, 0, 0, 0, 0, 0, 312, 0, 0, 8, 0, 0, 168, 0, 0, 104, 0, 0, 0, 0, 0, 88, 0, 0, -372, 0, 0, -664, 0, 0, 24, 0, 0, 0, 0, 0, 272, 0, 0, 1488, 0, 0, -16, 0, 0, 244, 0, 0, 0, 0, 0, 228, 0, 0, -104, 0, 0, -1128, 0, 0, -152, 0, 0, 0, 0, 0, -76, 0, 0, -640, 0, 0, -144, 0, 0, -336, 0, 0, 0, 0, 0, -120, 0, 0, 72, 0, 0, 264, 0, 0, -40, 0, 0, 0, 0, 0, -8, 0, 0, -320, 0, 0, -64, 0, 0, 208, 0, 0, 0, 0, 0, -320, 0, 0, -72, 0, 0, 1728, 0, 0, 512, 0, 0, 0, 0, 0, -136, 0, 0, 1680, 0, 0, 444, 0, 0, -208, 0, 0, 0, 0, 0, 264, 0, 0, -556, 0, 0, 976, 0, 0, -44, 0, 0, 0, 0, 0, -32, 0, 0, 80, 0, 0, -112, 0, 0, -368, 0, 0, 0, 0, 0, -412, 0, 0, -152, 0, 0, 24, 0, 0, 520, 0, 0, 0, 0, 0, 36, 0, 0, -120, 0, 0, -500, 0, 0, 496, 0, 0, 0, 0, 0, 1408, 0, 0, -128, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, -308, 0, 0, -376, 0, 0, 192, 0, 0, -16, 0, 0, 0, 0, 0, -184, 0, 0, 152, 0, 0, 232, 0, 0, -112, 0, 0, 0, 0, 0, -168, 0, 0, 1176, 0, 0, 792, 0, 0, -328, 0, 0, 0, 0, 0, 48, 0, 0, -248, 0, 0, 1528, 0, 0, 192, 0, 0, 0, 0, 0, 436, 0, 0, 760, 0, 0, -8, 0, 0, 248, 0, 0, 0, 0, 0, 16, 0, 0, 104, 0, 0, -840, 0, 0, 672, 0, 0, 0, 0, 0, -40, 0, 0, -448, 0, 0, 96, 0, 0, 1144, 0, 0, 0, 0, 0, 184, 0, 0, 28, 0, 0, 1504, 0, 0, 96, 0, 0, 0, 0, 0, 184, 0, 0, -308, 0, 0, -332, 0, 0, 288, 0, 0, 0, 0, 0, 440, 0, 0, -500, 0, 0, 976, 0, 0, -356, 0, 0, 0, 0, 0, 32, 0, 0, -72, 0, 0, 648, 0, 0, 860, 0, 0, 0, 0, 0, -272, 0, 0, -640, 0, 0, -156, 0, 0, 120, 0, 0, 0, 0, 0, -56, 0, 0, -1016, 0, 0, 72, 0, 0, -128, 0, 0, 0, 0, 0, -1016, 0, 0, 368, 0, 0, 112, 0, 0, 744, 0, 0, 0, 0, 0, 12, 0, 0, -128, 0, 0, -1032, 0, 0, 264, 0, 0, 0, 0, 0, 728, 0, 0, 336, 0, 0, -1480, 0, 0, 4, 0, 0, 0, 0, 0, -8, 0, 0, 924], '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: 1433842
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 125, 'source_is_minimal': False, 'source_label': '9450.2.a.eu', 'source_level': 9450, 'target_char_orbit': 7, 'target_dim': 4, 'target_hecke_orbit': 14, 'target_is_minimal': True, 'target_label': '1890.2.g.n', 'target_level': 1890, 'twist_class_label': '1890.2.g.n', 'twist_class_level': 1890, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1433843
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 125, 'source_is_minimal': False, 'source_label': '9450.2.a.eu', 'source_level': 9450, 'target_char_orbit': 7, 'target_dim': 4, 'target_hecke_orbit': 17, 'target_is_minimal': True, 'target_label': '1890.2.g.q', 'target_level': 1890, 'twist_class_label': '1890.2.g.n', 'twist_class_level': 1890, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1433844
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 125, 'source_is_minimal': False, 'source_label': '9450.2.a.eu', 'source_level': 9450, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 106, 'target_is_minimal': False, 'target_label': '9450.2.a.eb', 'target_level': 9450, 'twist_class_label': '1890.2.g.n', 'twist_class_level': 1890, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1433845
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 125, 'source_is_minimal': False, 'source_label': '9450.2.a.eu', 'source_level': 9450, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 113, 'target_is_minimal': False, 'target_label': '9450.2.a.ei', 'target_level': 9450, 'twist_class_label': '1890.2.g.n', 'twist_class_level': 1890, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1433846
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 125, 'source_is_minimal': False, 'source_label': '9450.2.a.eu', 'source_level': 9450, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 122, 'target_is_minimal': False, 'target_label': '9450.2.a.er', 'target_level': 9450, 'twist_class_label': '1890.2.g.n', 'twist_class_level': 1890, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1433847
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 125, 'source_is_minimal': False, 'source_label': '9450.2.a.eu', 'source_level': 9450, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 125, 'target_is_minimal': False, 'target_label': '9450.2.a.eu', 'target_level': 9450, 'twist_class_label': '1890.2.g.n', 'twist_class_level': 1890, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4942875
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 558446353827505386, 'p': 2}
  • id: 4942876
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 558446353827505386, 'p': 3}
  • id: 4942877
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 558446353827505386, 'p': 5}
  • id: 4942878
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 558446353827505386, 'p': 7}
  • id: 4942879
    {'charpoly_factorization': [[[-3, 0, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 11}
  • id: 4942880
    {'charpoly_factorization': [[[-8, 4, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 13}
  • id: 4942881
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 558446353827505386, 'p': 17}
  • id: 4942882
    {'charpoly_factorization': [[[13, -8, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 19}
  • id: 4942883
    {'charpoly_factorization': [[[-11, 2, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 23}
  • id: 4942884
    {'charpoly_factorization': [[[-8, -4, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 29}
  • id: 4942885
    {'charpoly_factorization': [[[1, 4, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 31}
  • id: 4942886
    {'charpoly_factorization': [[[-23, 4, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 37}
  • id: 4942887
    {'charpoly_factorization': [[[-39, 6, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 41}
  • id: 4942888
    {'charpoly_factorization': [[[52, -16, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 43}
  • id: 4942889
    {'charpoly_factorization': [[[52, -16, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 47}
  • id: 4942890
    {'charpoly_factorization': [[[-192, 0, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 53}
  • id: 4942891
    {'charpoly_factorization': [[[-44, -4, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 59}
  • id: 4942892
    {'charpoly_factorization': [[[-192, 0, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 61}
  • id: 4942893
    {'charpoly_factorization': [[[-104, -4, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 67}
  • id: 4942894
    {'charpoly_factorization': [[[33, 12, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 71}
  • id: 4942895
    {'charpoly_factorization': [[[52, 20, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 73}
  • id: 4942896
    {'charpoly_factorization': [[[-44, -4, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 79}
  • id: 4942897
    {'charpoly_factorization': [[[24, -12, 1], 1]], 'hecke_orbit_code': 558446353827505386, 'p': 83}
  • id: 4942898
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 558446353827505386, 'p': 89}
  • id: 4942899
    {'charpoly_factorization': [[[-48, 0, 1], 1]], 'hecke_orbit_code': 558446353827505386, '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': 1, 'hecke_orbit': 125, 'label': '9450.2.a.eu', 'level': 9450, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 281215000
    {'hecke_orbit_code': 558446353827505386, 'n': 1, 'trace_an': 2}
  • id: 281215001
    {'hecke_orbit_code': 558446353827505386, 'n': 2, 'trace_an': 2}
  • id: 281215002
    {'hecke_orbit_code': 558446353827505386, 'n': 3, 'trace_an': 0}
  • id: 281215003
    {'hecke_orbit_code': 558446353827505386, 'n': 4, 'trace_an': 2}
  • id: 281215004
    {'hecke_orbit_code': 558446353827505386, 'n': 5, 'trace_an': 0}
  • id: 281215005
    {'hecke_orbit_code': 558446353827505386, 'n': 6, 'trace_an': 0}
  • id: 281215006
    {'hecke_orbit_code': 558446353827505386, 'n': 7, 'trace_an': 2}
  • id: 281215007
    {'hecke_orbit_code': 558446353827505386, 'n': 8, 'trace_an': 2}
  • id: 281215008
    {'hecke_orbit_code': 558446353827505386, 'n': 9, 'trace_an': 0}
  • id: 281215009
    {'hecke_orbit_code': 558446353827505386, 'n': 10, 'trace_an': 0}
  • id: 281215010
    {'hecke_orbit_code': 558446353827505386, 'n': 11, 'trace_an': 0}
  • id: 281215011
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  • id: 281215012
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  • id: 281215013
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  • id: 281215014
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  • id: 281215015
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  • id: 281215016
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  • id: 281215017
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  • id: 281215018
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  • id: 281215019
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  • id: 281215020
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  • id: 281215021
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  • id: 281215022
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  • id: 281215023
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  • id: 281215024
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  • id: 281215025
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  • id: 281215026
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  • id: 281215027
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  • id: 281215028
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  • id: 281215029
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  • id: 281215030
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  • id: 281215031
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  • id: 281215032
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  • id: 281215033
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  • id: 281215034
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  • id: 281215035
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  • id: 281215036
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  • id: 281215037
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  • id: 281215038
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  • id: 281215039
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  • id: 281215040
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  • id: 281215041
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  • id: 281215042
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  • id: 281215043
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  • id: 281215044
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  • id: 281215045
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  • id: 281215046
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  • id: 281215047
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  • id: 281215048
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  • id: 281215049
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  • id: 281215050
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  • id: 281215051
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  • id: 281215052
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  • id: 281215053
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  • id: 281215054
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  • id: 281215055
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  • id: 281215056
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  • id: 281215057
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  • id: 281215058
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  • id: 281215059
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  • id: 281215060
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  • id: 281215061
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  • id: 281215062
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  • id: 281215063
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  • id: 281215064
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  • id: 281215065
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  • id: 281215066
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  • id: 281215067
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  • id: 281215068
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  • id: 281215069
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  • id: 281215070
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  • id: 281215071
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  • id: 281215072
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  • id: 281215073
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  • id: 281215075
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  • id: 281215076
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  • id: 281215077
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  • id: 281215078
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  • id: 281215079
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  • id: 281215080
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  • id: 281215081
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  • id: 281215082
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  • id: 281215083
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  • id: 281215084
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  • id: 281215085
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  • id: 281215086
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  • id: 281215087
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  • id: 281215088
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  • id: 281215089
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  • id: 281215090
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  • id: 281215091
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  • id: 281215092
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  • id: 281215093
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  • id: 281215094
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  • id: 281215095
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  • id: 281215096
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  • id: 281215097
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  • id: 281215098
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  • id: 281215099
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  • id: 281215100
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  • id: 281215102
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  • id: 281215103
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  • id: 281215104
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  • id: 281215105
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  • id: 281215106
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  • id: 281215107
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  • id: 281215108
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  • id: 281215109
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  • id: 281215110
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  • id: 281215111
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  • id: 281215112
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  • id: 281215113
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  • id: 281215114
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  • id: 281215115
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  • id: 281215116
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  • id: 281215117
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  • id: 281215118
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  • id: 281215119
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  • id: 281215120
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  • id: 281215121
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  • id: 281215122
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  • id: 281215123
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  • id: 281215124
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  • id: 281215125
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  • id: 281215126
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  • id: 281215127
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  • id: 281215128
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  • id: 281215129
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  • id: 281215130
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  • id: 281215131
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  • id: 281215132
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  • id: 281215133
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  • id: 281215134
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  • id: 281215135
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  • id: 281215136
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  • id: 281215137
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  • id: 281215138
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  • id: 281215139
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  • id: 281215140
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  • id: 281215141
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  • id: 281215142
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  • id: 281215143
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  • id: 281215144
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  • id: 281215145
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  • id: 281215146
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  • id: 281215147
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  • id: 281215148
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  • id: 281215149
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  • id: 281215150
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  • id: 281215151
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  • id: 281215152
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  • id: 281215153
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  • id: 281215154
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  • id: 281215155
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  • id: 281215156
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  • id: 281215157
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  • id: 281215158
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  • id: 281215159
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  • id: 281215160
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  • id: 281215161
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  • id: 281215162
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  • id: 281215163
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  • id: 281215164
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  • id: 281215165
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  • id: 281215166
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  • id: 281215167
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  • id: 281215168
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  • id: 281215169
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  • id: 281215170
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  • id: 281215171
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  • id: 281215172
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  • id: 281215173
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  • id: 281215174
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  • id: 281215175
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  • id: 281215177
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  • id: 281215178
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  • id: 281215180
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  • id: 281215181
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  • id: 281215187
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  • id: 281215188
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  • id: 281215189
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  • id: 281215190
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  • id: 281215192
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  • id: 281215193
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  • id: 281215195
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  • id: 281215196
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  • id: 281215198
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  • id: 281215199
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  • id: 281215200
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  • id: 281215201
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  • id: 281215202
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  • id: 281215397
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  • id: 281215400
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  • id: 281215402
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  • id: 281215403
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  • id: 281215405
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  • id: 281215406
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  • id: 281215408
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  • id: 281215409
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  • id: 281215410
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  • id: 281215411
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  • id: 281215412
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  • id: 281215413
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  • id: 281215414
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  • id: 281215415
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  • id: 281215416
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  • id: 281215417
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  • id: 281215418
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  • id: 281215419
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  • id: 281215420
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  • id: 281215421
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  • id: 281215422
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  • id: 281215423
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  • id: 281215424
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  • id: 281215425
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  • id: 281215426
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  • id: 281215427
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  • id: 281215428
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  • id: 281215429
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  • id: 281215430
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  • id: 281215432
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  • id: 281215435
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  • id: 281215436
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  • id: 281215439
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  • id: 281215441
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  • id: 281215445
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  • id: 281215447
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  • id: 281215451
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  • id: 281215453
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  • id: 281215456
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  • id: 281215457
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  • id: 281215462
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  • id: 281215463
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  • id: 281215464
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  • id: 281215465
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  • id: 281215466
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  • id: 281215467
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  • id: 281215468
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  • id: 281215469
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  • id: 281215470
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  • id: 281215471
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  • id: 281215472
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  • id: 281215475
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  • id: 281215476
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  • id: 281215477
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  • id: 281215478
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  • id: 281215479
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  • id: 281215480
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  • id: 281215481
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  • id: 281215482
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  • id: 281215483
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  • id: 281215484
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  • id: 281215485
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  • id: 281215486
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  • id: 281215487
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  • id: 281215488
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  • id: 281215489
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  • id: 281215490
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  • id: 281215491
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  • id: 281215492
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  • id: 281215493
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  • id: 281215494
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  • id: 281215495
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  • id: 281215496
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  • id: 281215497
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  • id: 281215498
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  • id: 281215499
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  • id: 281215500
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  • id: 281215501
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  • id: 281215502
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  • id: 281215503
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  • id: 281215504
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  • id: 281215505
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  • id: 281215506
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  • id: 281215507
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  • id: 281215508
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  • id: 281215509
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  • id: 281215510
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  • id: 281215511
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  • id: 281215512
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  • id: 281215513
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  • id: 281215514
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  • id: 281215515
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  • id: 281215516
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  • id: 281215517
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  • id: 281215518
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  • id: 281215519
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  • id: 281215520
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  • id: 281215521
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  • id: 281215522
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  • id: 281215523
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  • id: 281215524
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  • id: 281215525
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  • id: 281215526
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  • id: 281215527
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  • id: 281215528
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  • id: 281215529
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  • id: 281215530
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  • id: 281215531
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  • id: 281215532
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  • id: 281215533
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  • id: 281215534
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  • id: 281215535
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  • id: 281215536
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  • id: 281215537
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  • id: 281215538
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  • id: 281215539
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  • id: 281215540
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  • id: 281215541
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  • id: 281215542
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  • id: 281215543
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  • id: 281215544
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  • id: 281215545
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  • id: 281215546
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  • id: 281215547
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  • id: 281215548
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  • id: 281215549
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  • id: 281215550
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  • id: 281215552
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  • id: 281215553
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  • id: 281215555
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  • id: 281215556
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  • id: 281215564
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  • id: 281215565
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  • id: 281215566
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  • id: 281215567
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  • id: 281215568
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  • id: 281215569
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  • id: 281215570
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  • id: 281215571
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  • id: 281215573
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  • id: 281215576
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  • id: 281215578
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  • id: 281215579
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  • id: 281215580
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  • id: 281215581
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  • id: 281215582
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  • id: 281215583
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  • id: 281215584
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  • id: 281215585
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  • id: 281215586
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  • id: 281215587
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  • id: 281215588
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  • id: 281215589
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  • id: 281215590
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  • id: 281215595
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  • id: 281215596
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  • id: 281215597
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  • id: 281215600
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  • id: 281215601
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  • id: 281215602
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  • id: 281215605
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  • id: 281215606
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  • id: 281215607
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  • id: 281215608
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  • id: 281215609
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  • id: 281215610
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  • id: 281215611
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  • id: 281215612
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  • id: 281215613
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  • id: 281215616
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  • id: 281215618
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  • id: 281215619
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  • id: 281215621
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  • id: 281215622
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  • id: 281215623
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  • id: 281215625
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  • id: 281215627
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  • id: 281215630
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  • id: 281215631
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  • id: 281215637
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  • id: 281215640
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  • id: 281215642
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  • id: 281215648
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  • id: 281215660
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  • id: 281215661
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  • id: 281215663
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  • id: 281215665
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  • id: 281215666
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  • id: 281215667
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  • id: 281215671
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  • id: 281215672
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  • id: 281215687
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  • id: 281215688
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  • id: 281215689
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  • id: 281215690
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  • id: 281215691
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  • id: 281215693
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  • id: 281215712
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  • id: 281215713
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  • id: 281215726
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  • id: 281215727
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  • id: 281215728
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  • id: 281215729
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  • id: 281215730
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  • id: 281215732
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  • id: 281215733
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  • id: 281215734
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  • id: 281215735
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  • id: 281215778
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  • id: 281215780
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  • id: 281215781
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  • id: 281215782
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  • id: 281215783
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  • id: 281215784
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  • id: 281215785
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  • id: 281215787
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  • id: 281215788
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  • id: 281215789
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  • id: 281215790
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  • id: 281215791
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  • id: 281215792
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  • id: 281215793
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  • id: 281215794
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  • id: 281215795
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  • id: 281215796
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  • id: 281215797
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  • id: 281215798
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  • id: 281215799
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  • id: 281215800
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  • id: 281215801
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  • id: 281215802
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  • id: 281215803
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  • id: 281215805
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  • id: 281215806
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  • id: 281215807
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  • id: 281215808
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  • id: 281215809
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  • id: 281215810
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  • id: 281215811
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  • id: 281215812
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  • id: 281215813
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  • id: 281215815
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  • id: 281215816
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  • id: 281215817
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  • id: 281215818
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  • id: 281215819
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  • id: 281215820
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  • id: 281215821
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  • id: 281215822
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  • id: 281215823
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  • id: 281215824
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  • id: 281215825
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  • id: 281215826
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  • id: 281215827
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  • id: 281215828
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  • id: 281215829
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  • id: 281215830
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  • id: 281215831
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  • id: 281215832
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  • id: 281215833
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  • id: 281215834
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  • id: 281215835
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  • id: 281215836
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  • id: 281215837
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  • id: 281215838
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  • id: 281215839
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  • id: 281215840
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  • id: 281215841
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  • id: 281215843
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  • id: 281215844
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  • id: 281215845
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  • id: 281215846
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  • id: 281215847
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  • id: 281215848
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  • id: 281215849
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  • id: 281215850
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  • id: 281215851
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  • id: 281215852
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  • id: 281215853
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  • id: 281215854
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  • id: 281215855
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  • id: 281215856
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  • id: 281215857
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  • id: 281215858
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  • id: 281215860
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  • id: 281215861
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  • id: 281215862
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  • id: 281215863
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  • id: 281215864
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  • id: 281215865
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  • id: 281215866
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  • id: 281215867
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  • id: 281215868
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  • id: 281215869
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  • id: 281215870
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  • id: 281215871
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  • id: 281215872
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  • id: 281215873
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  • id: 281215874
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  • id: 281215875
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  • id: 281215876
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  • id: 281215877
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  • id: 281215878
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  • id: 281215879
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  • id: 281215880
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  • id: 281215881
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  • id: 281215882
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  • id: 281215883
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  • id: 281215884
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  • id: 281215885
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  • id: 281215886
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  • id: 281215887
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  • id: 281215888
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  • id: 281215889
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  • id: 281215890
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  • id: 281215891
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  • id: 281215892
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  • id: 281215893
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  • id: 281215895
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  • id: 281215896
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  • id: 281215897
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  • id: 281215899
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  • id: 281215900
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  • id: 281215901
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  • id: 281215902
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  • id: 281215903
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  • id: 281215904
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  • id: 281215905
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  • id: 281215906
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  • id: 281215907
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  • id: 281215908
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  • id: 281215909
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  • id: 281215910
    {'hecke_orbit_code': 558446353827505386, 'n': 911, 'trace_an': 16}
  • id: 281215911
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  • id: 281215912
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  • id: 281215913
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  • id: 281215914
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  • id: 281215915
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  • id: 281215916
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  • id: 281215917
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  • id: 281215918
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  • id: 281215919
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  • id: 281215920
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  • id: 281215921
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  • id: 281215922
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  • id: 281215923
    {'hecke_orbit_code': 558446353827505386, 'n': 924, 'trace_an': 0}
  • id: 281215924
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  • id: 281215925
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  • id: 281215926
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  • id: 281215927
    {'hecke_orbit_code': 558446353827505386, 'n': 928, 'trace_an': 4}
  • id: 281215928
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  • id: 281215929
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  • id: 281215930
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  • id: 281215931
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  • id: 281215932
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  • id: 281215933
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  • id: 281215934
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  • id: 281215935
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  • id: 281215936
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  • id: 281215937
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  • id: 281215938
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  • id: 281215939
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  • id: 281215940
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  • id: 281215941
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  • id: 281215942
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  • id: 281215943
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  • id: 281215944
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  • id: 281215945
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  • id: 281215946
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  • id: 281215947
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  • id: 281215948
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  • id: 281215949
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  • id: 281215950
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  • id: 281215951
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  • id: 281215952
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  • id: 281215953
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  • id: 281215954
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  • id: 281215955
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  • id: 281215956
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  • id: 281215957
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  • id: 281215958
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  • id: 281215959
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  • id: 281215960
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  • id: 281215961
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  • id: 281215962
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  • id: 281215963
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  • id: 281215964
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  • id: 281215965
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  • id: 281215966
    {'hecke_orbit_code': 558446353827505386, 'n': 967, 'trace_an': -44}
  • id: 281215967
    {'hecke_orbit_code': 558446353827505386, 'n': 968, 'trace_an': -16}
  • id: 281215968
    {'hecke_orbit_code': 558446353827505386, 'n': 969, 'trace_an': 0}
  • id: 281215969
    {'hecke_orbit_code': 558446353827505386, 'n': 970, 'trace_an': 0}
  • id: 281215970
    {'hecke_orbit_code': 558446353827505386, 'n': 971, 'trace_an': 36}
  • id: 281215971
    {'hecke_orbit_code': 558446353827505386, 'n': 972, 'trace_an': 0}
  • id: 281215972
    {'hecke_orbit_code': 558446353827505386, 'n': 973, 'trace_an': 8}
  • id: 281215973
    {'hecke_orbit_code': 558446353827505386, 'n': 974, 'trace_an': 32}
  • id: 281215974
    {'hecke_orbit_code': 558446353827505386, 'n': 975, 'trace_an': 0}
  • id: 281215975
    {'hecke_orbit_code': 558446353827505386, 'n': 976, 'trace_an': 0}
  • id: 281215976
    {'hecke_orbit_code': 558446353827505386, 'n': 977, 'trace_an': 0}
  • id: 281215977
    {'hecke_orbit_code': 558446353827505386, 'n': 978, 'trace_an': 0}
  • id: 281215978
    {'hecke_orbit_code': 558446353827505386, 'n': 979, 'trace_an': 0}
  • id: 281215979
    {'hecke_orbit_code': 558446353827505386, 'n': 980, 'trace_an': 0}
  • id: 281215980
    {'hecke_orbit_code': 558446353827505386, 'n': 981, 'trace_an': 0}
  • id: 281215981
    {'hecke_orbit_code': 558446353827505386, 'n': 982, 'trace_an': -24}
  • id: 281215982
    {'hecke_orbit_code': 558446353827505386, 'n': 983, 'trace_an': 56}
  • id: 281215983
    {'hecke_orbit_code': 558446353827505386, 'n': 984, 'trace_an': 0}
  • id: 281215984
    {'hecke_orbit_code': 558446353827505386, 'n': 985, 'trace_an': 0}
  • id: 281215985
    {'hecke_orbit_code': 558446353827505386, 'n': 986, 'trace_an': 16}
  • id: 281215986
    {'hecke_orbit_code': 558446353827505386, 'n': 987, 'trace_an': 0}
  • id: 281215987
    {'hecke_orbit_code': 558446353827505386, 'n': 988, 'trace_an': -28}
  • id: 281215988
    {'hecke_orbit_code': 558446353827505386, 'n': 989, 'trace_an': -40}
  • id: 281215989
    {'hecke_orbit_code': 558446353827505386, 'n': 990, 'trace_an': 0}
  • id: 281215990
    {'hecke_orbit_code': 558446353827505386, 'n': 991, 'trace_an': -52}
  • id: 281215991
    {'hecke_orbit_code': 558446353827505386, 'n': 992, 'trace_an': -4}
  • id: 281215992
    {'hecke_orbit_code': 558446353827505386, 'n': 993, 'trace_an': 0}
  • id: 281215993
    {'hecke_orbit_code': 558446353827505386, 'n': 994, 'trace_an': -12}
  • id: 281215994
    {'hecke_orbit_code': 558446353827505386, 'n': 995, 'trace_an': 0}
  • id: 281215995
    {'hecke_orbit_code': 558446353827505386, 'n': 996, 'trace_an': 0}
  • id: 281215996
    {'hecke_orbit_code': 558446353827505386, 'n': 997, 'trace_an': 8}
  • id: 281215997
    {'hecke_orbit_code': 558446353827505386, 'n': 998, 'trace_an': -28}
  • id: 281215998
    {'hecke_orbit_code': 558446353827505386, 'n': 999, 'trace_an': 0}
  • id: 281215999
    {'hecke_orbit_code': 558446353827505386, 'n': 1000, 'trace_an': 0}