Newform data - 4950.2.a.bh

Formats: - HTML - YAML - JSON - 2024-05-06T08:25:24.698884

• 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': 19800, 'analytic_conductor': 39.52594900053379, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [5, 1], [11, 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': [4950, 1, [551, 2377, 4501], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[7, [0, 1]], [13, [3, 1]], [17, [4, 1]], [19, [1, 1]], [23, [-3, 1]]], 'hecke_orbit': 34, 'hecke_orbit_code': 148618787736785750, 'hecke_ring_generator_nbound': 1, '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': '4950.2.a.bh', 'level': 4950, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 11], 'level_radical': 330, 'minimal_twist': '550.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}+q^{4}+q^{8}-q^{11}-3q^{13}+q^{16}+\\cdots', 'related_objects': ['EllipticCurve/Q/4950/bh'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4950.2.a', 'trace_display': [1, 0, 0, 0], 'trace_hash': 1185073182268189735, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.975', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.914', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.034', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.699', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.015', 'prec': 17}, 'traces': [1, 1, 0, 1, 0, 0, 0, 1, 0, 0, -1, 0, -3, 0, 0, 1, -4, 0, -1, 0, 0, -1, 3, 0, 0, -3, 0, 0, -5, 0, -3, 1, 0, -4, 0, 0, 12, -1, 0, 0, -8, 0, 5, -1, 0, 3, -8, 0, -7, 0, 0, -3, -10, 0, 0, 0, 0, -5, -8, 0, 10, -3, 0, 1, 0, 0, -14, -4, 0, 0, 5, 0, 4, 12, 0, -1, 0, 0, -8, 0, 0, -8, -9, 0, 0, 5, 0, -1, -3, 0, 0, 3, 0, -8, 0, 0, -3, -7, 0, 0, -17, 0, -1, -3, 0, -10, 17, 0, -13, 0, 0, 0, 2, 0, 0, -5, 0, -8, 0, 0, 1, 10, 0, -3, 0, 0, 4, 1, 0, 0, 13, 0, 0, -14, 0, -4, 3, 0, 13, 0, 0, 5, 3, 0, 0, 4, 0, 12, -6, 0, 8, -1, 0, 0, 0, 0, 6, -8, 0, 0, 0, 0, -4, -8, 0, -9, 0, 0, -4, 0, 0, 5, -13, 0, 0, -1, 0, -3, -24, 0, -16, 0, 0, 3, 0, 0, 4, -8, 0, 0, 9, 0, 20, -3, 0, -7, -3, 0, -13, 0, 0, -17, 0, 0, 0, -1, 0, -3, 1, 0, 28, -10, 0, 17, 0, 0, 0, -13, 0, 0, 12, 0, -24, 0, 0, 2, 19, 0, -26, 0, 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0, 20, 0, 0, -67, 17, 0, 13, 0, 0, -52, -3, 0, 0, -9, 0, 0, 7, 0, -15, 80, 0, 44, 0, 0, 8, -41, 0, 0, -52, 0, -12, 39, 0, -11, -36, 0, -21, 0, 0, 120, -14, 0, 0, 0, 0, -12, -12, 0, 1, 30, 0, -48, 0, 0, 5, -46, 0, 0, 24, 0, 56, -50, 0, -70, 0, 0, -33, 0, 0, -20, 3, 0, 0, 40, 0, -28, -36, 0, 0, 37, 0, -1, 0, 0, 36, 56, 0, 0, -9, 0, -26, 58, 0, 57, -1, 0, 9, 0, 0, 0, -10, 0, 0, -28, 0, -51, 0, 0, 37, 72, 0, -12, 0, 0, 10, -66, 0, 0, 4, 0, 0, -68, 0, -2, 28, 0, -6, 0, 0, 34, -12, 0, 0, 22, 0, 48, -17, 0, 3, -24, 0, 0, 0, 0, 40, -52, 0, 0, 0, 0, 12, -3, 0, -17, 2, 0, -57, 0, 0, -2, 40, 0, 0, 20, 0, 10, -6, 0, 51, 0, 0, -41, 0, 0, -9, -60, 0, 0, -12, 0, 13, 40, 0, 49, -64, 0, 36, 0, 0, 45, 0, 0, 0, -47, 0, -4, -20, 0, 8, 2, 0, 64, 0, 0, 0, 5, 0, 0, 14, 0, -22, 0, 0, -12, -1, 0, -16, 0, 0, -55, -30, 0, 0, -30, 0, 0, 24, 0, -44, 19, 0, 24, 0, 0, 26, 24, 0, 0, -16, 0, 19, 1, 0, 51, 60, 0, 0, 0, 0, 0, -19, 0, 0, 0, 0, -37, -18, 0, -4, 18, 0, -168, 0, 0, -16, -27, 0, 0, -2, 0, -27, -13, 0, 80, 0, 0, -25, 0, 0, -19, -16, 0, 0, -80, 0, -86, 6, 0, 0, -39, 0, -60, 0, 0, 6, 0, 0, 0, -48, 0, 46, 26, 0, 28, 9, 0, 0, 0, 0, 0, -8, 0, 0, -62, 0, 24, 0, 0, 32, -40, 0, 28, 0, 0, 24, 66, 0, 0, 14, 0, 21, -22, 0, -22, 5, 0, 4, 0, 0, -12, 56, 0, 0, 9, 0, -30, 3, 0, 45, -32, 0, 0, 0, 0, 44, 27, 0, 0, 0, 0, 60, 66, 0, 15, 8, 0, 4, 0, 0, 39, 0, 0, 0, -48, 0, -52, -32, 0, 8, 70, 0, 6, 0, 0, 32, -3, 0, 0, 20, 0, -4, 0, 0, 0, 14, 0, 6, 0, 0, -58, 0, 0, 0, -90, 0, 50, -8, 0, 51, 60, 0, 22, 0, 0, 0, -74, 0, 0, 27, 0, -34, 0, 0, -13, 17, 0, 8, 0, 0, -40, -28, 0, 0, -18, 0, 0, -66, 0, -9, -4, 0, -60, 0, 0, -1, -11, 0, 0, -15, 0, -15, -24, 0, -97, 0, 0, 0, 0, 0, 22, 3, 0, 0, 0, 0, 19, -10, 0, 32, -64, 0, 65, 0, 0, -20, 24, 0, 0, -10, 0, -5, -36, 0, 48, 0, 0, -4, 0, 0, 22, -41, 0, 0, 59, 0, -2, -24, 0, 0, -3, 0, -50, 0, 0, 0, 0, 0, 0, 40, 0, 3, 6, 0, 8, -16, 0, 27, 0, 0, 0, 107, 0, 0, 33, 0, -84, 0, 0, -36, 112, 0, -77, 0, 0, 5, -81, 0, 0, 30, 0, 0, 9, 0, 20, -6, 0, 40, 0, 0, 62, -13, 0, 0, 16, 0, 64, -4, 0, -12, 9, 0, 0, 0, 0, -51, 3, 0, 0, 0, 0, 32, 21, 0, -30, 21, 0, -4, 0, 0, 100, -20, 0, 0, 82, 0, 42, 29, 0, 30, 0, 0, 47, 0, 0, -12, 15, 0, 0, -1, 0, -31, -6, 0, 0, 36, 0, -17, 0, 0, -7, 0, 0, 0, 6, 0, -70, 39, 0, 44, 49, 0, 0, 0, 0, 35, 78, 0, 0, -64, 0, -3, 0, 0, 55, -9, 0, 16, 0, 0, -8, 1, 0, 0, 44, 0, 0, -24, 0, -58, -80, 0, -8, 0, 0, 8, 16, 0, 0, -16, 0, -35, -6, 0, -70, -13, 0, 0, 0, 0, 28, -18, 0, 0, 56, 0, 12, -8, 0, -16, -43, 0, 72, 0, 0, -1, -42, 0, 0, -32, 0, -5, -60, 0, -40, 0, 0, 24, 0, 0, -7, 61, 0, 0, 12, 0, -96, -20, 0, 0, 23, 0, 85, 0, 0, 45, 0, 0, 0, -1, 0, -6, -69, 0, 52, -50, 0, 3, 0, 0, 0, 14, 0, 0, -57, 0, 23, 0, 0, -32, -72, 0, -2, 0, 0, 30, 8, 0, 0, -70, 0, 0, -44, 0, -44, -18, 0, -8, 0, 0, 78, -41, 0, 0, -22, 0, -6, -6, 0, -27, 5, 0, -70, 0, 0, 4, -32, 0, 0, 0, 0, -22, -50, 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], [1], [0], [1], [0], [0], [0], [1], [0], [0], [-1], [0], [-3], [0], [0], [1], [-4], [0], [-1], [0], [0], [-1], [3], [0], [0], [-3], [0], [0], [-5], [0], [-3], [1], [0], [-4], [0], [0], [12], [-1], [0], [0], [-8], [0], [5], [-1], [0], [3], [-8], [0], [-7], [0], [0], [-3], [-10], [0], [0], [0], [0], [-5], [-8], [0], [10], [-3], [0], [1], [0], [0], [-14], [-4], [0], [0], [5], [0], [4], [12], [0], [-1], [0], [0], [-8], [0], [0], [-8], [-9], [0], [0], [5], [0], [-1], [-3], [0], [0], [3], [0], [-8], [0], [0], [-3], [-7], [0], [0]], 'ap': [[1], [0], [0], [0], [-1], [-3], [-4], [-1], [3], [-5], [-3], [12], [-8], [5], [-8], [-10], [-8], [10], [-14], [5], [4], [-8], [-9], [-3], [-3], [-17], [-1], [17], [-13], [2], [4], [13], [3], [13], [-6], [8], [6], [-4], [0], [-13], [-24], [-16], [9], [20], [-3], [-13], [28], [-24], [19], [-26], [30], [-22], [18], [-20], [7], [-12], [2], [22], [18], [-12], [-12], [-6], [-16], [-27], [6], [32], [-28], [-10], [-12], [21], [-17], [8], [-1], [-6], [6], [13], [-24], [38], [25], [-8], [-30], [2], [8], [-11], [-4], [16], [27], [12], [18], [29], [14], [-6], [3], [9], [-10], [30], [34], [-7], [19], [-17], [31], [-3], [-36], [24], [-33], [-26], [-12], [2], [-12], [36], [-22], [26], [-19], [-4], [0], [3], [44], [0], [14], [27], [8], [-20], [-41], [-16], [40], [29], [44], [-16], [-5], [45], [-32], [-18], [-25], [52], [-12], [50], [28], [-28], [12], [6], [28], [-33], [16], [11], [34], [24], [14], [-4], [-30], [9], [-17], [-53], [0], [-46], [-30], [-48], [-32], [25], [-38], [22], [-42], [54], [-54], [30], [30], [-57], [40], [2], [-58], [30], [5], [-48], [6], [-40], [21], [-25], [-19], [30], [30], [-27], [43], [36], [16], [42], [-8], [20], [7], [-52], [-14], [36], [-9], [37], [28], [40], [-57], [51], [-64], [14], [-16], [-44], [19], [60], [-18], [-16], [46], [4], [56], [45], [60], [8], [-32], [32], [20], [6], [-34], [17], [-66], [0], [27], [-36], [-6], [-20], [-31], [-64], [16], [1], [-58], [-35], [-8], [-1], [-32], [61], [-50], [30], [-70], [-8], [-41], [-27], [-22], [-48], [-16], [-72], [-55], [-50], [12], [-50], [7], [-24], [5], [-2], [7], [-40], [-53], [67], [39], [11], [20], [-12], [28], [62], [4], [-49], [35], [11], [9], [-40], [22], [-9], [-35], [-30], [-68], [-30], [-37], [4], [-26], [-33], [-68], [82], [16], [-12], [26], [-23], [10], [21], [-23], [73], [17], [43], [-35], [24], [-40], [78], [-56], [35], [59], [-81], [-3], [0], [-21], [-37], [-48], [73], [70], [-36], [-62], [-10], [32], [2], [15], [83], [62], [-2], [56], [32], [-14], [88], [40], [2], [-30], [-62], [-64], [-11], [-58], [1], [-18], [-31], [-82], [-36], [-48], [-33], [-67], [80], [44], [-41], [-11], [30], [-48], [-46], [-70], [-20], [-28], [37], [58], [57], [-66], [-68], [-2], [34], [22], [-24], [-17], [-2], [20], [10], [-41], [-60], [40], [-47], [2], [5], [-55], [-30], [19], [1], [0], [-37], [18], [-86], [28], [-62], [28], [66], [-22], [-22], [-12], [66], [-48], [-52], [0], [-58], [-90], [-74], [-40], [-4], [-60], [-11], [-97], [22], [19], [-64], [65], [24], [-36], [22], [59], [-2], [-50], [6], [8], [33], [-77], [-81], [62], [9], [21], [-30], [100], [82], [42], [-6], [-70], [49], [78], [55], [-8], [44], [-6], [28], [-43], [-42], [-60], [-7], [23], [-69], [23], [-72], [8], [-44], [-44], [-50]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 148618787736785750, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '4950.2.a.bh', 'level': 4950, 'maxp': 2999, '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], [11, -1]], 5, 4], [[[2, -1], [3, 1], [5, 1], [11, -1]], 2, 2], [[[2, 1], [3, 1], [5, -1], [11, -1]], 4, 3], [[[2, -1], [3, 1], [5, 1], [11, 1]], 5, 3], [[[2, -1], [3, 1], [5, -1], [11, -1]], 6, 3], [[[2, 1], [3, -1], [5, -1], [11, -1]], 6, 4], [[[2, 1], [3, 1], [5, 1], [11, -1]], 5, 3], [[[2, 1], [3, -1], [5, 1], [11, -1]], 5, 4], [[[2, -1], [3, -1], [5, -1], [11, 1]], 7, 6], [[[2, -1], [3, 1], [5, -1], [11, 1]], 4, 3], [[[2, 1], [3, 1], [5, 1], [11, 1]], 2, 2], [[[2, -1], [3, -1], [5, 1], [11, -1]], 7, 6], [[[2, 1], [3, 1], [5, -1], [11, 1]], 6, 3], [[[2, -1], [3, -1], [5, 1], [11, 1]], 5, 5], [[[2, 1], [3, -1], [5, -1], [11, 1]], 6, 5], [[[2, 1], [3, -1], [5, 1], [11, 1]], 6, 6]], 'ALdims': [2, 5, 6, 4, 6, 5, 6, 6, 5, 2, 4, 6, 5, 7, 7, 5], 'Nk2': 19800, 'analytic_conductor': 39.52594900053379, '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': [4950, 1, [551, 2377, 4501], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1033, 'dim': 81, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 13, 17, 19, 23], 'hecke_orbit_code': 33559382, '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, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3], 'label': '4950.2.a', 'level': 4950, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 11], 'level_radical': 330, 'mf_dim': 1128, 'mf_new_dim': 81, 'num_forms': 62, 'plus_dim': 33, 'prim_orbit_index': 1, 'relative_dim': 81, 'sturm_bound': 2160, 'trace_bound': 19, 'trace_display': [1, 0, 0, 0], 'traces': [81, 1, 0, 81, 0, 0, 0, 1, 0, 0, -1, 0, 2, -8, 0, 81, -14, 0, 12, 0, 0, -1, -8, 0, 0, -22, 0, 0, -6, 0, 28, 1, 0, -6, 0, 0, 14, 8, 0, 0, -34, 0, 28, -1, 0, 16, -24, 0, 129, 0, 0, 2, 26, 0, 0, -8, 0, 18, -12, 0, 6, -8, 0, 81, 0, 0, 0, -14, 0, 0, 48, 0, -42, 10, 0, 12, 0, 0, 48, 0, 0, 14, -12, 0, 0, -12, 0, -1, 38, 0, 8, -8, 0, 8, 0, 0, 18, -23, 0, 0, 10, 0, -28, -22, 0, 14, -36, 0, 22, 0, 0, 0, 42, 0, 0, -6, 0, -28, 40, 0, 81, -6, 0, 28, 0, 0, 48, 1, 0, 0, 52, 0, 16, 84, 0, -6, 34, 0, 68, 0, 0, 24, 10, 0, 0, -34, 0, 14, -6, 0, 64, 8, 0, 8, 0, 0, 14, 8, 0, 0, 80, 0, 8, -34, 0, -8, 88, 0, 67, 0, 0, 28, 46, 0, 0, -1, 0, -10, 92, 0, -18, -8, 0, 16, 0, 0, -2, -24, 0, 0, 32, 0, -18, 14, 0, 129, -2, 0, -28, 0, 0, 18, 8, 0, 0, 32, 0, 2, -4, 0, -52, 26, 0, 0, 0, 0, 48, 26, 0, 0, 4, 0, 44, -8, 0, -22, 28, 0, 38, 0, 0, 18, -46, 0, 0, -12, 0, 16, 40, 0, -118, 1, 0, 6, 0, 0, 24, -8, 0, 0, -76, 0, 20, -16, 0, 81, 74, 0, 64, 0, 0, -4, -64, 0, 0, 32, 0, 0, 10, 0, 8, -14, 0, 18, 0, 0, 10, -24, 0, 0, 22, 0, -20, 48, 0, -2, 24, 0, 91, 0, 0, -42, 30, 0, 0, 10, 0, 74, -104, 0, -8, 16, 0, 12, 0, 0, -20, 0, 0, 0, 8, 0, -14, -22, 0, 48, -86, 0, -22, 0, 0, 8, -56, 0, 0, -60, 0, 14, 40, 0, -36, -12, 0, 32, 0, 0, -2, 87, 0, 0, 8, 0, 0, -12, 0, -86, 36, 0, 86, 0, 0, -1, -46, 0, 0, 38, 0, -44, 144, 0, 193, 102, 0, 8, 0, 0, -124, -8, 0, 0, 96, 0, 82, -18, 0, 8, -124, 0, 36, 0, 0, 40, 144, 0, 0, 166, 0, 18, 178, 0, -56, -23, 0, -46, 0, 0, -66, -32, 0, 0, -74, 0, 96, 10, 0, -24, -14, 0, 90, 0, 0, -28, -144, 0, 0, -22, 0, -12, -84, 0, 30, -24, 0, 14, 0, 0, 40, -36, 0, 0, 168, 0, 122, -32, 0, 22, -40, 0, -32, 0, 0, -28, 40, 0, 0, 40, 0, 0, 38, 0, 2, 42, 0, 64, 0, 0, -66, 30, 0, 0, 58, 0, -100, -6, 0, -70, 16, 0, 176, 0, 0, -28, 40, 0, 0, 40, 0, -96, 312, 0, 180, 18, 0, 81, 0, 0, 36, -6, 0, 0, -68, 0, -92, 24, 0, 28, 104, 0, 36, 0, 0, -4, 128, 0, 0, -8, 0, 48, 26, 0, 128, 1, 0, -134, 0, 0, 36, -64, 0, 0, -26, 0, -12, 52, 0, 24, -32, 0, -3, 0, 0, 16, 36, 0, 0, 84, 0, -38, 23, 0, 6, 96, 0, -6, 0, 0, -92, 34, 0, 0, 260, 0, -120, 6, 0, 68, 62, 0, 116, 0, 0, 22, -116, 0, 0, -24, 0, 24, -186, 0, -140, 10, 0, -32, 0, 0, -22, -13, 0, 0, -280, 0, -26, -34, 0, -130, 80, 0, -288, 0, 0, 14, -214, 0, 0, -6, 0, -80, -84, 0, 50, -120, 0, 64, 0, 0, -16, 8, 0, 0, -136, 0, -78, -80, 0, 8, -70, 0, -212, 0, 0, 56, -8, 0, 0, -10, 0, 14, -284, 0, -248, 8, 0, -162, 0, 0, 162, 6, 0, 0, -10, 0, 8, 80, 0, 80, -152, 0, -92, 0, 0, 8, -38, 0, 0, -34, 0, -72, 28, 0, -98, -76, 0, -8, 0, 0, -56, 88, 0, 0, -74, 0, 14, -50, 0, 67, 54, 0, -136, 0, 0, -24, -160, 0, 0, 248, 0, 28, -244, 0, -52, 46, 0, 20, 0, 0, 84, 58, 0, 0, -182, 0, -152, -1, 0, -134, -96, 0, -10, 0, 0, -10, 248, 0, 0, 92, 0, -48, -180, 0, -72, -163, 0, -18, 0, 0, -44, -8, 0, 0, -56, 0, 10, 88, 0, 16, -32, 0, -276, 0, 0, 32, -40, 0, 0, -234, 0, -2, 40, 0, -212, -24, 0, -44, 0, 0, -74, -172, 0, 0, -138, 0, 64, 32, 0, -88, 8, 0, -78, 0, 0, -18, 58, 0, 0, 14, 0, 50, -24, 0, 32, 56, 0, 129, 0, 0, 28, -2, 0, 0, 120, 0, 172, 242, 0, -28, -14, 0, -64, 0, 0, 30, 42, 0, 0, 44, 0, 18, -442, 0, 340, 8, 0, -26, 0, 0, 128, 58, 0, 0, -134, 0, 4, 32, 0, 16, 20, 0, -74, 0, 0, 2, 98, 0, 0, -4, 0, 4, -12, 0, -109, 46, 0, -52, 0, 0, 0, 26, 0, 0, -240, 0, 162, 136, 0, 0, -30, 0, -268, 0, 0, -56, 144, 0, 0, -242, 0, 48, 40, 0, -88, 26, 0, -36, 0, 0, -118, 96, 0, 0, -154, 0, -72, 4, 0, -236, 136, 0, 32, 0, 0, 44, -184, 0, 0, -8, 0, -34, -176, 0, -228, 26, 0, -22, 0, 0, 16, 28, 0, 0, -364, 0, -60, -282, 0, 38, 32, 0, 16, 0, 0, -6, -88, 0, 0, 72, 0, 18, -122, 0, 172, -46, 0, -28, 0, 0, -82, -80, 0, 0, 98, 0, 72, -12, 0, 68, 40, 0, -60, 0, 0, 16, 26, 0, 0, 40, 0, -96, -48, 0, 61, -100, 0, -118, 0, 0, -152, 1, 0, 0, 20, 0, 96, 64, 0, 6, -150, 0, -6, 0, 0, -132, 24, 0, 0, 76, 0, 24, 72, 0, -256, -8, 0, -272, 0, 0, 98, 100, 0, 0, -80, 0, 136, -76, 0, -128, -8, 0, -46, 0, 0, 20, 2, 0, 0, -16, 0, 10, -276, 0, 110, 224, 0, 81, 0, 0, -32, 74, 0, 0, -256, 0, 30, -60, 0, 64, -124, 0, -428, 0, 0, 54, 280, 0, 0, -148, 0, -4, -210, 0, 196, -64, 0, 80, 0, 0, 48, -55, 0, 0, -230, 0, 48, 32, 0, -188, -42, 0, -218, 0, 0, 0, -196, 0, 0, 10, 0, 23, 492, 0, -80, -190, 0, 8, 0, 0, 100, -14, 0, 0, 308, 0, -202, 188, 0, 18, 90, 0, -240, 0, 0, -120, 64, 0, 0, -112, 0, 10, -38, 0, 50, -24, 0, 210, 0, 0, -6, 24, 0, 0, 280, 0, -40, 22, 0, -196, -160, 0, 42, 0, 0, -20, 76, 0, 0, 48, 0, -82, 104, 0, -256, 88, 0, -2, 0, 0, -104, 24, 0, 0, 296, 0, -126, -290, 0, 91, 52, 0, 384, 0, 0, 64, 124, 0, 0, -6, 0, -42, -56, 0, 236, 30, 0, -324, 0, 0, 4, -152, 0, 0, 42, 0, 128, 10, 0, 74, -60, 0, -252, 0, 0, 74, 50, 0, 0, -104, 0, 88, -30, 0, -182, 274, 0, -8, 0, 0, 128, 16, 0, 0, 40, 0, -58, 96, 0, 12, 146, 0, -144, 0, 0, -96, -80, 0, 0, -34, 0, -20, 66, 0, -112, 0, 0, -286, 0, 0, 78, -52, 0, 0, -180, 0, 74, 8, 0, -48, -24, 0, 170, 0, 0, -14, -160, 0, 0, -22, 0, 164, -180, 0, -180, -152, 0, 48, 0, 0, 240, -86, 0, 0, 40, 0, 48, -54, 0, -22, 122, 0, -192, 0, 0, -2, -140, 0, 0, 92, 0, 8, 70, 0, -340, -56, 0, -384, 0, 0, -74, -4, 0, 0, 10, 0, -76, -60, 0, -74, -184, 0, -32, 0, 0, 14, -100, 0, 0, 40, 0, 68, -8, 0, -258, -130, 0, -36, 0, 0, -264, -12, 0, 0, -1, 0, 16, -236, 0, 32, 56, 0, 528, 0, 0, -30, -264, 0, 0, -218, 0, -2, 88, 0, 120, 87, 0, -166, 0, 0, -224, 64, 0, 0, 326, 0, 216, 8, 0, -220, -88, 0, -273, 0, 0, 0, 186, 0, 0, -12, 0, 140, 72, 0, -402, -172, 0, -86, 0, 0, -136, 36, 0, 0, 484, 0, -288, -132, 0, 86, -88, 0, 312, 0, 0, -62, -48, 0, 0, 104, 0, -1, -218, 0, -32, -46, 0, -40, 0, 0, -268, -98, 0, 0, -102, 0, 36, 38, 0, -32, 92, 0, -338, 0, 0, -44, 90, 0, 0, 144, 0, -192, 96, 0, -80, 80, 0, 193, 0, 0, -312, 102, 0, 0, 140, 0, -178, -32, 0, 8, -40, 0, -20, 0, 0, -168, 32, 0, 0, -150, 0, -124, -84, 0, -120, -8, 0, 68, 0, 0, 32, -16, 0, 0, -282, 0, -48, 96, 0, -432, 128, 0, -570, 0, 0, 82, 78, 0, 0, -18, 0, -160, 68, 0, 104, 48, 0, 8, 0, 0, 82, -124, 0, 0, 108, 0, -244, -46, 0, 36, -76, 0, 100, 0, 0, -74, 128, 0, 0, -48, 0, 40, 52, 0, -556, 144, 0, 160, 0, 0, -76, 18, 0, 0, 64, 0, 76, 166, 0, -82, 304, 0, -674, 0, 0, 18, -110, 0, 0, 178, 0, 168, -48, 0, -672, 36, 0, -56, 0, 0, -76, -23, 0, 0, 156, 0, 2, -64, 0, -46, 184, 0, -300, 0, 0, 8, -48, 0, 0, -292, 0, -66, 408, 0, -72, -32, 0, -2, 0, 0, -318, -136, 0, 0, -26, 0, -256, -74, 0, 34, 56, 0, -650, 0, 0, 96, -26, 0, 0, 10, 0, 86, 412, 0, 134, -72, 0, -24, 0, 0, 92, -14, 0, 0, -136, 0, 32, -128, 0, 90, -206, 0, -50, 0, 0, -102, -104, 0, 0, 64, 0, -28, 308, 0, -136, -144, 0, -96, 0, 0, 62, 158, 0, 0, -72, 0, -160, -22, 0, 290, 108, 0, 254, 0, 0, -12, 200, 0, 0, -84, 0, -48, 224, 0, 491, 279, 0, 30, 0, 0, 504, -24, 0, 0, -368, 0, 18, -8, 0, 14, -206, 0, 348, 0, 0, -24, 208, 0, 0, -146, 0, 40, -302, 0, 112, -36, 0, 242, 0, 0, 20, 12, 0, 0, 22, 0, -196, 168, 0, 344, -30, 0, 312, 0, 0, 122, -274, 0, 0, -32, 0, 16, 160, 0, 150, -208, 0, 22, 0, 0, 40, -40, 0, 0, 408, 0, 58, -230, 0, -32, 32, 0, -72, 0, 0, 238, 144, 0, 0, 60, 0, -28, 340, 0, 168, 40, 0, 384, 0, 0, 294, 48, 0, 0, 348, 0, 220, 40, 0, 56, -24, 0, 278, 0, 0, 0, 80, 0, 0, 38, 0, 272, 0, 0, 186, 60, 0, 2, 0, 0, -160, 42, 0, 0, -292, 0, 110, -428, 0, 64, 184, 0, 448, 0, 0, 88, 40, 0, 0, -12, 0, -66, 328, 0, -156, 30, 0, 56, 0, 0, -64, -72, 0, 0, 632, 0, 184, 58, 0, 300, -64, 0, 177, 0, 0, -100, 68, 0, 0, -6, 0, -2, 41, 0, 350, 392, 0, -70, 0, 0, -20, 16, 0, 0, 200, 0, 210, 70, 0, 176, 46, 0, -76, 0, 0, -46, -144, 0, 0, -128, 0, -28, -354, 0, 576, 40, 0, 156, 0, 0, 152, -12, 0, 0, -62, 0, -78, 40, 0, 122, 184, 0, 208, 0, 0, -96, -118, 0, 0, 312, 0, -112, 156, 0, 132, -191, 0, 180, 0, 0, -104, 18, 0, 0, 116, 0, 82, -32, 0, 81, -60, 0, -272, 0, 0, -172, -272, 0, 0, 224, 0, 36, 274, 0, 628, -6, 0, -86, 0, 0, -128, -26, 0, 0, 348, 0, 32, -68, 0, -32, 16, 0, 52, 0, 0, -92, -54, 0, 0, 24, 0, -104, -28, 0, -176, -184, 0, 28, 0, 0, 220, 104, 0, 0, 202, 0, 190, -474, 0, 36, 110, 0, 312, 0, 0, 56, -224, 0, 0, -184, 0, -4, 14, 0, 252, 128, 0, 568, 0, 0, -222, 82, 0, 0, 216, 0, -48, -8, 0, -106, -184, 0, 238, 0, 0, 48, 144, 0, 0, 26, 0, 84, 232, 0, -420, -306, 0, 128, 0, 0, 216, 1, 0, 0, -480, 0, 146, 336, 0, -134, -14, 0, 0, 0, 0, 8, 72, 0, 0, -306, 0, 36, -246, 0, -92, -64, 0, -468, 0, 0, 160, -64, 0, 0, 54, 0, 16, -26, 0, 112, 192, 0, -262, 0, 0, -12, 160, 0, 0, 52, 0, 118, -44, 0, -48, 40, 0, 24, 0, 0, 108, -32, 0, 0, 24, 0, -38, 144, 0, -3, 92, 0, 464, 0, 0, -94, 10, 0, 0, 24, 0, 16, 262, 0, 508, 36, 0, 166, 0, 0, 82, 10, 0, 0, -350, 0, -4, 84, 0, -244, -32, 0, 592, 0, 0, -38, -6, 0, 0, 23, 0, 248, 464, 0, 558, 32, 0, 6, 0, 0, -38, 96, 0, 0, -80, 0, 188, 312, 0, -6, -184, 0, -76, 0, 0, 276, 192, 0, 0, 170, 0, -92, 96, 0, 64, 34, 0, -214, 0, 0, 244, -32, 0, 0, -220, 0, 104, 260, 0, 424, 328, 0, 641, 0, 0, -120, -42, 0, 0, 6, 0, -78, -112, 0, -506, 70, 0, 68, 0, 0, 112, 62, 0, 0, 148, 0, -8, 154, 0, 116, 114, 0, 352, 0, 0, 40, 132, 0, 0, 108, 0, 22, -328, 0, 36, -116, 0, 560, 0, 0, 452, -126, 0, 0, 768, 0, 64, -24, 0, -60, -48, 0, 150, 0, 0, 24, 98, 0, 0, -186, 0, 192, -1016, 0, -62, -56, 0, -140, 0, 0, 376, 10, 0, 0, -328, 0, -90, 240, 0, -32, -182, 0, 12, 0, 0, 136, 0, 0, 0, 158, 0, -22, 82, 0, -132, -13, 0, -552, 0, 0, -80, 184, 0, 0, -120, 0, 184, -280, 0, 136, -344, 0, 300, 0, 0, -26, 194, 0, 0, -34, 0, 32, -580, 0, 158, 300, 0, -130, 0, 0, -184, 80, 0, 0, -520, 0, 156, -76, 0, -288, -262, 0, 520, 0, 0, 26, 144, 0, 0, 144, 0, 14, 212, 0, 348, -214, 0, 168, 0, 0, -134, 44, 0, 0, -6, 0, 104, -6, 0, -190, -24, 0, 46, 0, 0, -80, -62, 0, 0, -84, 0, -30, -156, 0, 449, -182, 0, 50, 0, 0, -192, -120, 0, 0, -628, 0, -64, 520, 0, 64, 162, 0, 184, 0, 0, 240, 104, 0, 0, -350, 0, -16, -240, 0, -156, 8, 0, 314, 0, 0, -294, 168, 0, 0, -466, 0, -368, -136, 0, 32, 64, 0, -88, 0, 0, -78, 60, 0, 0, -80, 0, -262, -260, 0, -240, 208, 0, 8, 0, 0, 304, -70, 0, 0, 256, 0, -94, -302, 0, -212, 102, 0, -624, 0, 0, 348, 120, 0, 0, -14, 0, 56, 108, 0, -104, -8, 0, 24, 0, 0, 92, -54, 0, 0, -356, 0, -360, -10, 0, -96, -320, 0, 268, 0, 0, 14, -288, 0, 0, -284, 0, 60, 98, 0, 226, 396, 0, -248, 0, 0, 16, 8, 0, 0, -20, 0, -444, -80, 0, -162, 192, 0, 692, 0, 0, 264, -104, 0, 0, -120, 0, 162, 202, 0, -136, 6, 0, -226, 0, 0, 14, 8, 0, 0, 160, 0, -66, -10, 0, 248, -48, 0, -104, 0, 0, 8, -128, 0, 0, 80, 0, -82, -436, 0, 1020, -212, 0, 80, 0, 0, -544, -152, 0, 0, -72, 0, -218, -458, 0, -92, -54, 0, 296, 0, 0, -254, -256, 0, 0, 0, 0, 8, 102, 0, 16, -38, 0, 316, 0, 0, 350, -40, 0, 0, 314, 0, 168, -34, 0, 308, -176, 0, -24, 0, 0, -72, 18, 0, 0, 28, 0, -56, 344, 0, 388, -182, 0, -98, 0, 0, 152, -76, 0, 0, -42, 0, -336, -88, 0, -8, 146, 0, 476, 0, 0, -1, -176, 0, 0, 348, 0, -56, -572, 0, 308, 88, 0, 216, 0, 0, 246, -8, 0, 0, -304, 0, -108, -74, 0, 464, -280, 0, 30, 0, 0, 14, -46, 0, 0, -50, 0, -272, -844, 0, 364, -368, 0, 67, 0, 0, -272, 54, 0, 0, -336, 0, -162, 328, 0, -136, -56, 0, 312, 0, 0, -42, 176, 0, 0, 392, 0, -24, 706, 0, 452, -160, 0, 352, 0, 0, 472, -177, 0, 0, -158, 0, 88, 248, 0, -290, -16, 0, 230, 0, 0, 28, 58, 0, 0, -244, 0, 176, 724, 0, 140, -14, 0, -52, 0, 0, 552, 46, 0, 0, -408, 0, 16, -104, 0, 20, 202, 0, -80, 0, 0, 120, -8, 0, 0, -16, 0, 84, 82, 0, 760, 58, 0, -32, 0, 0, 30, 168, 0, 0, 702, 0, -112, -182, 0, 320, 312, 0, 495, 0, 0, -152, -284, 0, 0, -1, 0, -210, 52, 0, 168, 56, 0, -134, 0, 0, -14, -96, 0, 0, 32, 0, 374, 380, 0, -10, -74, 0, -200, 0, 0, -182, 24, 0, 0, 216, 0, -10, -168, 0, -36, 248, 0, 364, 0, 0, -186, -126, 0, 0, 74, 0, -272, 92, 0, -158, 176, 0, -560, 0, 0, -48, -66, 0, 0, -180, 0, -280, 448, 0, 176, 92, 0, -72, 0, 0, 100, -163, 0, 0, -108, 0, -96, 104, 0, -18, 226, 0, 688, 0, 0, -252, 176, 0, 0, -118, 0, -44, -246, 0, 312, -8, 0, 400, 0, 0, 186, -104, 0, 0, 192, 0, 352, -56, 0, 16, -56, 0, -360, 0, 0, 10, 224, 0, 0, 88, 0, -108, 156, 0, -28, -24, 0, 16, 0, 0, -304, -32, 0, 0, -100, 0, -70, 472, 0, -276, -30, 0, -26, 0, 0, -58, -40, 0, 0, -164, 0, 32, 198, 0, -148, -40, 0, -408, 0, 0, -4, 146, 0, 0, -24, 0, 72, -234, 0, -486, -88, 0, 950, 0, 0, -2, 244, 0, 0, 40, 0, 20, 24, 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: 1234618
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4950.2.a.bh', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '550.2.a.b', 'target_level': 550, 'twist_class_label': '550.2.a.b', 'twist_class_level': 550, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1234619
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4950.2.a.bh', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': True, 'target_label': '550.2.a.l', 'target_level': 550, 'twist_class_label': '550.2.a.b', 'twist_class_level': 550, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1234620
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4950.2.a.bh', 'source_level': 4950, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '550.2.b.e', 'target_level': 550, 'twist_class_label': '550.2.a.b', 'twist_class_level': 550, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1234621
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4950.2.a.bh', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '4400.2.a.g', 'target_level': 4400, 'twist_class_label': '550.2.a.b', 'twist_class_level': 550, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1234622
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4950.2.a.bh', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 25, 'target_is_minimal': False, 'target_label': '4400.2.a.y', 'target_level': 4400, 'twist_class_label': '550.2.a.b', 'twist_class_level': 550, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1234623
    {'conductor': 60, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4950.2.a.bh', 'source_level': 4950, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '4400.2.b.d', 'target_level': 4400, 'twist_class_label': '550.2.a.b', 'twist_class_level': 550, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 1234624
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4950.2.a.bh', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '4950.2.a.l', 'target_level': 4950, 'twist_class_label': '550.2.a.b', 'twist_class_level': 550, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1234625
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4950.2.a.bh', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 34, 'target_is_minimal': False, 'target_label': '4950.2.a.bh', 'target_level': 4950, 'twist_class_label': '550.2.a.b', 'twist_class_level': 550, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1234626
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4950.2.a.bh', 'source_level': 4950, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '4950.2.c.i', 'target_level': 4950, 'twist_class_label': '550.2.a.b', 'twist_class_level': 550, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1234627
    {'conductor': 165, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4950.2.a.bh', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '6050.2.a.p', 'target_level': 6050, 'twist_class_label': '550.2.a.b', 'twist_class_level': 550, 'twisting_char_label': '165.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1234628
    {'conductor': 33, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4950.2.a.bh', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 25, 'target_is_minimal': False, 'target_label': '6050.2.a.y', 'target_level': 6050, 'twist_class_label': '550.2.a.b', 'twist_class_level': 550, 'twisting_char_label': '33.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3755050
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 2}
  • id: 3755051
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 3}
  • id: 3755052
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 5}
  • id: 3755053
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 7}
  • id: 3755054
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 11}
  • id: 3755055
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 13}
  • id: 3755056
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 17}
  • id: 3755057
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 19}
  • id: 3755058
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 23}
  • id: 3755059
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 29}
  • id: 3755060
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 31}
  • id: 3755061
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 37}
  • id: 3755062
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 41}
  • id: 3755063
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 43}
  • id: 3755064
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 47}
  • id: 3755065
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 53}
  • id: 3755066
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 59}
  • id: 3755067
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 61}
  • id: 3755068
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 67}
  • id: 3755069
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 71}
  • id: 3755070
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 73}
  • id: 3755071
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 79}
  • id: 3755072
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 83}
  • id: 3755073
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 148618787736785750, 'p': 89}
  • id: 3755074
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 148618787736785750, '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': 34, 'label': '4950.2.a.bh', 'level': 4950, '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: 268594000
    {'hecke_orbit_code': 148618787736785750, 'n': 1, 'trace_an': 1}
  • id: 268594001
    {'hecke_orbit_code': 148618787736785750, 'n': 2, 'trace_an': 1}
  • id: 268594002
    {'hecke_orbit_code': 148618787736785750, 'n': 3, 'trace_an': 0}
  • id: 268594003
    {'hecke_orbit_code': 148618787736785750, 'n': 4, 'trace_an': 1}
  • id: 268594004
    {'hecke_orbit_code': 148618787736785750, 'n': 5, 'trace_an': 0}
  • id: 268594005
    {'hecke_orbit_code': 148618787736785750, 'n': 6, 'trace_an': 0}
  • id: 268594006
    {'hecke_orbit_code': 148618787736785750, 'n': 7, 'trace_an': 0}
  • id: 268594007
    {'hecke_orbit_code': 148618787736785750, 'n': 8, 'trace_an': 1}
  • id: 268594008
    {'hecke_orbit_code': 148618787736785750, 'n': 9, 'trace_an': 0}
  • id: 268594009
    {'hecke_orbit_code': 148618787736785750, 'n': 10, 'trace_an': 0}
  • id: 268594010
    {'hecke_orbit_code': 148618787736785750, 'n': 11, 'trace_an': -1}
  • id: 268594011
    {'hecke_orbit_code': 148618787736785750, 'n': 12, 'trace_an': 0}
  • id: 268594012
    {'hecke_orbit_code': 148618787736785750, 'n': 13, 'trace_an': -3}
  • id: 268594013
    {'hecke_orbit_code': 148618787736785750, 'n': 14, 'trace_an': 0}
  • id: 268594014
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  • id: 268594015
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  • id: 268594016
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  • id: 268594017
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  • id: 268594018
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  • id: 268594019
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  • id: 268594020
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  • id: 268594021
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  • id: 268594022
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  • id: 268594023
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  • id: 268594024
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  • id: 268594025
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  • id: 268594026
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  • id: 268594027
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  • id: 268594028
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  • id: 268594029
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  • id: 268594030
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  • id: 268594031
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  • id: 268594032
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  • id: 268594033
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  • id: 268594034
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  • id: 268594035
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  • id: 268594036
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  • id: 268594037
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  • id: 268594038
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  • id: 268594039
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  • id: 268594040
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  • id: 268594041
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  • id: 268594042
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  • id: 268594043
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  • id: 268594044
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  • id: 268594045
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  • id: 268594046
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  • id: 268594047
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  • id: 268594048
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  • id: 268594049
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  • id: 268594050
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  • id: 268594051
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  • id: 268594052
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  • id: 268594053
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  • id: 268594054
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  • id: 268594055
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  • id: 268594056
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  • id: 268594057
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  • id: 268594058
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  • id: 268594059
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  • id: 268594060
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  • id: 268594061
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  • id: 268594062
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  • id: 268594063
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  • id: 268594065
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  • id: 268594066
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  • id: 268594067
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  • id: 268594068
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  • id: 268594070
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  • id: 268594072
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  • id: 268594073
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  • id: 268594075
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  • id: 268594076
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  • id: 268594078
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  • id: 268594079
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  • id: 268594080
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  • id: 268594081
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  • id: 268594082
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  • id: 268594083
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  • id: 268594084
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  • id: 268594085
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  • id: 268594086
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  • id: 268594087
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  • id: 268594088
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  • id: 268594089
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  • id: 268594090
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  • id: 268594091
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  • id: 268594092
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  • id: 268594093
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  • id: 268594094
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  • id: 268594095
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  • id: 268594096
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  • id: 268594097
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  • id: 268594098
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  • id: 268594100
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  • id: 268594102
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  • id: 268594103
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  • id: 268594104
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  • id: 268594105
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  • id: 268594106
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  • id: 268594107
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  • id: 268594108
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  • id: 268594109
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  • id: 268594110
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  • id: 268594111
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  • id: 268594112
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  • id: 268594113
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  • id: 268594114
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  • id: 268594115
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  • id: 268594116
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  • id: 268594117
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  • id: 268594118
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  • id: 268594119
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  • id: 268594120
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  • id: 268594121
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  • id: 268594122
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  • id: 268594123
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  • id: 268594124
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  • id: 268594125
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  • id: 268594126
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  • id: 268594127
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  • id: 268594128
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  • id: 268594129
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  • id: 268594130
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  • id: 268594131
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  • id: 268594132
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  • id: 268594133
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  • id: 268594134
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  • id: 268594135
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  • id: 268594136
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  • id: 268594137
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  • id: 268594138
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  • id: 268594139
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  • id: 268594140
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  • id: 268594141
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  • id: 268594142
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  • id: 268594143
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  • id: 268594144
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  • id: 268594145
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  • id: 268594146
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  • id: 268594147
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  • id: 268594148
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  • id: 268594149
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  • id: 268594150
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  • id: 268594151
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  • id: 268594152
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  • id: 268594153
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  • id: 268594154
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  • id: 268594155
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  • id: 268594156
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  • id: 268594157
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  • id: 268594158
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  • id: 268594159
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  • id: 268594160
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  • id: 268594161
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  • id: 268594162
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  • id: 268594163
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  • id: 268594164
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  • id: 268594165
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  • id: 268594166
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  • id: 268594167
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  • id: 268594168
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  • id: 268594169
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  • id: 268594170
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  • id: 268594171
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  • id: 268594172
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  • id: 268594175
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  • id: 268594177
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  • id: 268594178
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  • id: 268594180
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  • id: 268594186
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  • id: 268594192
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  • id: 268594193
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  • id: 268594196
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  • id: 268594198
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  • id: 268594199
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  • id: 268594200
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  • id: 268594201
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  • id: 268594202
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  • id: 268594203
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  • id: 268594204
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  • id: 268594205
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  • id: 268594206
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  • id: 268594591
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  • id: 268594691
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  • id: 268594730
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  • id: 268594780
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  • id: 268594781
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  • id: 268594782
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  • id: 268594783
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  • id: 268594784
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  • id: 268594785
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  • id: 268594786
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  • id: 268594787
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  • id: 268594788
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  • id: 268594789
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  • id: 268594790
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  • id: 268594791
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  • id: 268594792
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  • id: 268594793
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  • id: 268594794
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  • id: 268594795
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  • id: 268594796
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  • id: 268594797
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  • id: 268594798
    {'hecke_orbit_code': 148618787736785750, 'n': 799, 'trace_an': 32}
  • id: 268594799
    {'hecke_orbit_code': 148618787736785750, 'n': 800, 'trace_an': 0}
  • id: 268594800
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  • id: 268594801
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  • id: 268594802
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  • id: 268594803
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  • id: 268594804
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  • id: 268594805
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  • id: 268594806
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  • id: 268594807
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  • id: 268594808
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  • id: 268594809
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  • id: 268594810
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  • id: 268594811
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  • id: 268594812
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  • id: 268594813
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  • id: 268594814
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  • id: 268594815
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  • id: 268594816
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  • id: 268594817
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  • id: 268594818
    {'hecke_orbit_code': 148618787736785750, 'n': 819, 'trace_an': 0}
  • id: 268594819
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  • id: 268594820
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  • id: 268594821
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  • id: 268594822
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  • id: 268594823
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  • id: 268594824
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  • id: 268594825
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  • id: 268594826
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  • id: 268594827
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  • id: 268594828
    {'hecke_orbit_code': 148618787736785750, 'n': 829, 'trace_an': 34}
  • id: 268594829
    {'hecke_orbit_code': 148618787736785750, 'n': 830, 'trace_an': 0}
  • id: 268594830
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  • id: 268594831
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  • id: 268594832
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  • id: 268594833
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  • id: 268594834
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  • id: 268594835
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  • id: 268594836
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  • id: 268594837
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  • id: 268594838
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  • id: 268594839
    {'hecke_orbit_code': 148618787736785750, 'n': 840, 'trace_an': 0}
  • id: 268594840
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  • id: 268594841
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  • id: 268594842
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  • id: 268594843
    {'hecke_orbit_code': 148618787736785750, 'n': 844, 'trace_an': 28}
  • id: 268594844
    {'hecke_orbit_code': 148618787736785750, 'n': 845, 'trace_an': 0}
  • id: 268594845
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  • id: 268594846
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  • id: 268594847
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  • id: 268594848
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  • id: 268594849
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  • id: 268594850
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  • id: 268594851
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  • id: 268594852
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  • id: 268594853
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  • id: 268594854
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  • id: 268594855
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  • id: 268594856
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  • id: 268594857
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  • id: 268594858
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  • id: 268594859
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  • id: 268594860
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  • id: 268594861
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  • id: 268594862
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  • id: 268594863
    {'hecke_orbit_code': 148618787736785750, 'n': 864, 'trace_an': 0}
  • id: 268594864
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  • id: 268594865
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  • id: 268594866
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  • id: 268594867
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  • id: 268594868
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  • id: 268594869
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  • id: 268594870
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  • id: 268594871
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  • id: 268594872
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  • id: 268594873
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  • id: 268594874
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  • id: 268594875
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  • id: 268594876
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  • id: 268594877
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  • id: 268594878
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  • id: 268594879
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  • id: 268594880
    {'hecke_orbit_code': 148618787736785750, 'n': 881, 'trace_an': -53}
  • id: 268594881
    {'hecke_orbit_code': 148618787736785750, 'n': 882, 'trace_an': 0}
  • id: 268594882
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  • id: 268594883
    {'hecke_orbit_code': 148618787736785750, 'n': 884, 'trace_an': 12}
  • id: 268594884
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  • id: 268594885
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  • id: 268594886
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  • id: 268594887
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  • id: 268594888
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  • id: 268594889
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  • id: 268594890
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  • id: 268594891
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  • id: 268594892
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  • id: 268594893
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  • id: 268594894
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  • id: 268594895
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  • id: 268594896
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  • id: 268594897
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  • id: 268594898
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  • id: 268594899
    {'hecke_orbit_code': 148618787736785750, 'n': 900, 'trace_an': 0}
  • id: 268594900
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  • id: 268594901
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  • id: 268594902
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  • id: 268594903
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  • id: 268594904
    {'hecke_orbit_code': 148618787736785750, 'n': 905, 'trace_an': 0}
  • id: 268594905
    {'hecke_orbit_code': 148618787736785750, 'n': 906, 'trace_an': 0}
  • id: 268594906
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  • id: 268594907
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  • id: 268594908
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  • id: 268594909
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  • id: 268594910
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  • id: 268594911
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  • id: 268594912
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  • id: 268594913
    {'hecke_orbit_code': 148618787736785750, 'n': 914, 'trace_an': 12}
  • id: 268594914
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  • id: 268594915
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  • id: 268594916
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  • id: 268594917
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  • id: 268594918
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  • id: 268594919
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  • id: 268594920
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  • id: 268594921
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  • id: 268594922
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  • id: 268594923
    {'hecke_orbit_code': 148618787736785750, 'n': 924, 'trace_an': 0}
  • id: 268594924
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  • id: 268594925
    {'hecke_orbit_code': 148618787736785750, 'n': 926, 'trace_an': 29}
  • id: 268594926
    {'hecke_orbit_code': 148618787736785750, 'n': 927, 'trace_an': 0}
  • id: 268594927
    {'hecke_orbit_code': 148618787736785750, 'n': 928, 'trace_an': -5}
  • id: 268594928
    {'hecke_orbit_code': 148618787736785750, 'n': 929, 'trace_an': 25}
  • id: 268594929
    {'hecke_orbit_code': 148618787736785750, 'n': 930, 'trace_an': 0}
  • id: 268594930
    {'hecke_orbit_code': 148618787736785750, 'n': 931, 'trace_an': 7}
  • id: 268594931
    {'hecke_orbit_code': 148618787736785750, 'n': 932, 'trace_an': 30}
  • id: 268594932
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  • id: 268594933
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  • id: 268594934
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  • id: 268594935
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  • id: 268594936
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  • id: 268594937
    {'hecke_orbit_code': 148618787736785750, 'n': 938, 'trace_an': 0}
  • id: 268594938
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  • id: 268594939
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  • id: 268594940
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  • id: 268594941
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  • id: 268594942
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  • id: 268594943
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  • id: 268594944
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  • id: 268594945
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  • id: 268594946
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  • id: 268594947
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  • id: 268594948
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  • id: 268594949
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  • id: 268594950
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  • id: 268594951
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  • id: 268594952
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  • id: 268594953
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  • id: 268594954
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  • id: 268594955
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  • id: 268594956
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  • id: 268594957
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  • id: 268594958
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  • id: 268594959
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  • id: 268594960
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  • id: 268594961
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  • id: 268594962
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  • id: 268594963
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  • id: 268594964
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  • id: 268594965
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  • id: 268594966
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  • id: 268594967
    {'hecke_orbit_code': 148618787736785750, 'n': 968, 'trace_an': 1}
  • id: 268594968
    {'hecke_orbit_code': 148618787736785750, 'n': 969, 'trace_an': 0}
  • id: 268594969
    {'hecke_orbit_code': 148618787736785750, 'n': 970, 'trace_an': 0}
  • id: 268594970
    {'hecke_orbit_code': 148618787736785750, 'n': 971, 'trace_an': 30}
  • id: 268594971
    {'hecke_orbit_code': 148618787736785750, 'n': 972, 'trace_an': 0}
  • id: 268594972
    {'hecke_orbit_code': 148618787736785750, 'n': 973, 'trace_an': 0}
  • id: 268594973
    {'hecke_orbit_code': 148618787736785750, 'n': 974, 'trace_an': 3}
  • id: 268594974
    {'hecke_orbit_code': 148618787736785750, 'n': 975, 'trace_an': 0}
  • id: 268594975
    {'hecke_orbit_code': 148618787736785750, 'n': 976, 'trace_an': 10}
  • id: 268594976
    {'hecke_orbit_code': 148618787736785750, 'n': 977, 'trace_an': 30}
  • id: 268594977
    {'hecke_orbit_code': 148618787736785750, 'n': 978, 'trace_an': 0}
  • id: 268594978
    {'hecke_orbit_code': 148618787736785750, 'n': 979, 'trace_an': 3}
  • id: 268594979
    {'hecke_orbit_code': 148618787736785750, 'n': 980, 'trace_an': 0}
  • id: 268594980
    {'hecke_orbit_code': 148618787736785750, 'n': 981, 'trace_an': 0}
  • id: 268594981
    {'hecke_orbit_code': 148618787736785750, 'n': 982, 'trace_an': 9}
  • id: 268594982
    {'hecke_orbit_code': 148618787736785750, 'n': 983, 'trace_an': -57}
  • id: 268594983
    {'hecke_orbit_code': 148618787736785750, 'n': 984, 'trace_an': 0}
  • id: 268594984
    {'hecke_orbit_code': 148618787736785750, 'n': 985, 'trace_an': 0}
  • id: 268594985
    {'hecke_orbit_code': 148618787736785750, 'n': 986, 'trace_an': 20}
  • id: 268594986
    {'hecke_orbit_code': 148618787736785750, 'n': 987, 'trace_an': 0}
  • id: 268594987
    {'hecke_orbit_code': 148618787736785750, 'n': 988, 'trace_an': 3}
  • id: 268594988
    {'hecke_orbit_code': 148618787736785750, 'n': 989, 'trace_an': 15}
  • id: 268594989
    {'hecke_orbit_code': 148618787736785750, 'n': 990, 'trace_an': 0}
  • id: 268594990
    {'hecke_orbit_code': 148618787736785750, 'n': 991, 'trace_an': 40}
  • id: 268594991
    {'hecke_orbit_code': 148618787736785750, 'n': 992, 'trace_an': -3}
  • id: 268594992
    {'hecke_orbit_code': 148618787736785750, 'n': 993, 'trace_an': 0}
  • id: 268594993
    {'hecke_orbit_code': 148618787736785750, 'n': 994, 'trace_an': 0}
  • id: 268594994
    {'hecke_orbit_code': 148618787736785750, 'n': 995, 'trace_an': 0}
  • id: 268594995
    {'hecke_orbit_code': 148618787736785750, 'n': 996, 'trace_an': 0}
  • id: 268594996
    {'hecke_orbit_code': 148618787736785750, 'n': 997, 'trace_an': 2}
  • id: 268594997
    {'hecke_orbit_code': 148618787736785750, 'n': 998, 'trace_an': -10}
  • id: 268594998
    {'hecke_orbit_code': 148618787736785750, 'n': 999, 'trace_an': 0}
  • id: 268594999
    {'hecke_orbit_code': 148618787736785750, 'n': 1000, 'trace_an': 0}