Newform data - 2288.2.a.c

Formats: - HTML - YAML - JSON - 2024-06-04T01:39:24.159561

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 9152, 'analytic_conductor': 18.269771982468953, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [11, 1], [13, -1]], 'atkin_lehner_string': '-+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2288, 1, [287, 1717, 2081, 353], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 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': [[3, [2, 1]], [5, [-1, 1]], [7, [-3, 1]], [17, [6, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199288297712, '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_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2288.2.a.c', 'level': 2288, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 11, 13], 'level_radical': 286, 'minimal_twist': '286.2.a.f', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2q^{3}+q^{5}+3q^{7}+q^{9}-q^{11}+q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/2288/c'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2288.2.a', 'trace_display': [0, -2, 1, 3], 'trace_hash': 215023696224272876, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.970', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.912', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.749', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, 'traces': [1, 0, -2, 0, 1, 0, 3, 0, 1, 0, -1, 0, 1, 0, -2, 0, -6, 0, 0, 0, -6, 0, -1, 0, -4, 0, 4, 0, -3, 0, -10, 0, 2, 0, 3, 0, 2, 0, -2, 0, 7, 0, 1, 0, 1, 0, 4, 0, 2, 0, 12, 0, 6, 0, -1, 0, 0, 0, 5, 0, -11, 0, 3, 0, 1, 0, 1, 0, 2, 0, -16, 0, -7, 0, 8, 0, -3, 0, -4, 0, -11, 0, -4, 0, -6, 0, 6, 0, 12, 0, 3, 0, 20, 0, 0, 0, -16, 0, -1, 0, 14, 0, -9, 0, -6, 0, 7, 0, -12, 0, -4, 0, -9, 0, -1, 0, 1, 0, -18, 0, 1, 0, -14, 0, -9, 0, -12, 0, -2, 0, -11, 0, 0, 0, 4, 0, 12, 0, -4, 0, -8, 0, -1, 0, -3, 0, -4, 0, 10, 0, 8, 0, -6, 0, -10, 0, 18, 0, -12, 0, -3, 0, -21, 0, 2, 0, -23, 0, 1, 0, 0, 0, -5, 0, -12, 0, -10, 0, 14, 0, -20, 0, 22, 0, 2, 0, 6, 0, 12, 0, 9, 0, -14, 0, -2, 0, -8, 0, -7, 0, -2, 0, -9, 0, 7, 0, -1, 0, 0, 0, -4, 0, 32, 0, 1, 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0, -35, 0, -100, 0, 0, 0, -27, 0, 18, 0, -8, 0, -60, 0, -4, 0, -11, 0, 7, 0, -44, 0, 66, 0, -49, 0, 0, 0, -28, 0, -120, 0, 6, 0, 34, 0, -12, 0, 61, 0, 32, 0, 126, 0, 20, 0, 16, 0, 30, 0, 39, 0, -36, 0, -1, 0, -30, 0, -68, 0, 20, 0, 46, 0, 0, 0, 1, 0, -25, 0, 32, 0, -79, 0, -47, 0, -12, 0, 72, 0, -17, 0, -52, 0, 48, 0, 32, 0, 3, 0, -25, 0, -30, 0, -4, 0, 36, 0, 15, 0, 14, 0, 0, 0, 64, 0, -33, 0, 2, 0, 138, 0, 104, 0, 54, 0, 32, 0, 14, 0, -6, 0, -89, 0, -9, 0, 17, 0, -102, 0, -72, 0, 40, 0, -39, 0, -18, 0, -44, 0, 0, 0, 3, 0, -6, 0, 9, 0, -72, 0, -45, 0, 1, 0, -138, 0, -36, 0, 80, 0, 28, 0, 10, 0, 2, 0, 28, 0, -2, 0, 14, 0, 62, 0, 26, 0, -12, 0, 0, 0, -44, 0, -112, 0, -4, 0, -6, 0, 52, 0, 24, 0, 12, 0, -8, 0, -4, 0, -56, 0, -42, 0, 44, 0, 0, 0, 3, 0, 24, 0, 65, 0, 30, 0, -48, 0, 0, 0, 75, 0, -20, 0, -18, 0, 28, 0, 16, 0, 43, 0, -10, 0, 12, 0, -34, 0, -26, 0, 2, 0, -42, 0, -21, 0, 50, 0, 72, 0, -23, 0, -7, 0, -16, 0, 0, 0, 14, 0, 27, 0, -22, 0, 26, 0, -49, 0, 39, 0, -22, 0, -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], [0], [-2], [0], [1], [0], [3], [0], [1], [0], [-1], [0], [1], [0], [-2], [0], [-6], [0], [0], [0], [-6], [0], [-1], [0], [-4], [0], [4], [0], [-3], [0], [-10], [0], [2], [0], [3], [0], [2], [0], [-2], [0], [7], [0], [1], [0], [1], [0], [4], [0], [2], [0], [12], [0], [6], [0], [-1], [0], [0], [0], [5], [0], [-11], [0], [3], [0], [1], [0], [1], [0], [2], [0], [-16], [0], [-7], [0], [8], [0], [-3], [0], [-4], [0], [-11], [0], [-4], [0], [-6], [0], [6], [0], [12], [0], [3], [0], [20], [0], [0], [0], [-16], [0], [-1], [0]], 'ap': [[0], [-2], [1], [3], [-1], [1], [-6], [0], [-1], [-3], [-10], [2], [7], [1], [4], [6], [5], [-11], [1], [-16], [-7], [-4], [-4], [12], [-16], [14], [-9], [7], [-12], [-9], [-12], [-11], [12], [-4], [10], [8], [18], [-21], [-23], [-5], [14], [-20], [9], [-14], [-8], [-7], [-4], [14], [-18], [-23], [18], [-13], [2], [-6], [-15], [-2], [10], [16], [-23], [-19], [29], [-20], [34], [32], [3], [-9], [-7], [4], [-16], [16], [-2], [-15], [24], [33], [0], [24], [10], [13], [24], [-13], [0], [25], [16], [-35], [26], [-12], [32], [-17], [-2], [-18], [32], [-27], [-14], [-11], [11], [24], [30], [-35], [36], [12], [-27], [-30], [32], [32], [17], [-36], [3], [-26], [39], [46], [-22], [10], [-32], [-23], [-6], [-31], [4], [-48], [14], [-44], [22], [4], [-26], [9], [20], [45], [-19], [25], [-32], [50], [-26], [9], [-31], [-32], [21], [-11], [-38], [40], [-16], [36], [-38], [8], [21], [-52], [-46], [18], [42], [52], [-50], [36], [24], [39], [16], [-34], [-6], [0], [14], [34], [26], [2], [-52], [36], [-31], [2], [-22], [10], [-25], [-13], [31], [-34], [34], [31], [-18], [-3], [59], [1], [36], [45], [14], [21], [36], [-44], [50], [-15], [-16], [-6], [26], [39], [-51], [39], [6], [18], [-52], [3], [-12], [34], [-46], [-30], [25], [-6], [54], [34], [-7], [-14], [51], [-36], [14], [33], [-10], [-56], [-38], [30], [-31], [-8], [40], [64], [-8], [6], [-6], [6], [-5], [-19], [34], [-54], [-3], [-18], [-42], [-29], [10], [6], [-36], [31], [25], [30], [-62], [-48], [-16], [28], [-62], [-56], [-51], [65], [21], [-38], [-33], [-6], [-46], [51], [16], [-18], [44], [42], [24], [31], [-29], [54], [2], [-42], [-22], [77], [64], [39], [4], [-77], [-22], [34], [-41], [-10], [-58], [-54], [-14], [56], [32], [-10], [-30], [-50], [-57], [18], [-65], [63], [34], [-62], [-36], [34], [-2], [27], [-62], [42], [16], [48], [-30], [2], [-29], [74], [-43], [-25], [-5], [14], [69], [38], [10], [-18], [52], [6], [40], [28], [-72], [-36], [-10], [83], [-6], [39], [-30], [-30], [24], [52], [35], [-51], [24], [50], [-44], [-66], [-15], [54], [29], [-31], [-29], [-76], [60], [-62], [44], [-22], [-42], [-40], [-16], [0], [89], [69], [-22], [-48], [-71], [-33], [-40], [-44], [-31], [37], [56], [25], [15], [-42], [6], [-18], [-14], [76], [43], [-6], [-16], [48], [64], [30], [42], [-62], [21], [-72], [-38], [67], [-36], [-33], [-66], [-40], [58], [-17], [-22], [-10], [10], [-76], [0], [-26], [-82], [-22], [15], [-24], [25], [-63], [-46], [28], [-6], [-60], [-74], [-96], [68], [61], [36], [12], [-74], [-24], [65], [-35], [-100], [-60], [-44], [-49], [61], [30], [20], [46], [-25], [-79], [-47], [-25], [64], [2], [54], [-89], [-102], [40], [-45], [80], [-2], [26], [-44], [52], [-56], [65], [28], [43], [-34], [-42], [-21], [-50]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 9007199288297712, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '2288.2.a.c', 'level': 2288, 'maxp': 2999, 'weight': 2}
• mf_newspaces •

  Column	Type
  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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [9, 9, 6, 6, 10, 5, 5, 10], 'Nk2': 9152, 'analytic_conductor': 18.269771982468953, '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': [2288, 1, [287, 1717, 2081, 353], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 325, 'dim': 60, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7, 17], 'hecke_orbit_code': 33556720, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 5, 6, 6], 'label': '2288.2.a', 'level': 2288, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 11, 13], 'level_radical': 286, 'mf_dim': 348, 'mf_new_dim': 60, 'num_forms': 27, 'plus_dim': 25, 'prim_orbit_index': 1, 'relative_dim': 60, 'sturm_bound': 672, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [60, 0, 0, 0, 0, 0, 0, 0, 60, 0, -6, 0, 0, 0, -4, 0, 0, 0, 16, 0, 16, 0, 0, 0, 60, 0, -12, 0, 16, 0, 28, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 32, 0, 60, 0, 56, 0, 0, 0, 0, 0, 0, 0, -36, 0, -32, 0, -32, 0, 0, 0, 12, 0, -16, 0, 4, 0, 0, 0, -28, 0, 0, 0, 16, 0, 44, 0, 16, 0, -32, 0, 56, 0, -16, 0, -12, 0, 0, 0, -72, 0, 0, 0, -18, 0, 16, 0, -60, 0, 8, 0, 32, 0, -32, 0, 60, 0, 24, 0, 20, 0, 0, 0, -8, 0, 60, 0, 8, 0, -48, 0, 40, 0, 8, 0, -48, 0, -32, 0, 132, 0, 32, 0, 64, 0, 0, 0, 10, 0, 32, 0, 124, 0, -32, 0, 16, 0, 24, 0, 44, 0, 32, 0, -36, 0, 16, 0, -48, 0, 0, 0, -48, 0, 60, 0, 120, 0, -32, 0, 88, 0, -24, 0, -52, 0, 32, 0, 80, 0, 32, 0, -12, 0, -16, 0, -8, 0, 0, 0, 0, 0, -64, 0, 4, 0, -40, 0, -144, 0, 0, 0, -88, 0, 0, 0, 56, 0, -64, 0, 8, 0, 32, 0, -16, 0, 0, 0, 4, 0, 60, 0, 56, 0, 32, 0, 0, 0, 16, 0, 40, 0, -80, 0, -40, 0, -48, 0, 24, 0, -32, 0, 12, 0, -80, 0, 0, 0, 16, 0, -8, 0, 24, 0, 8, 0, 48, 0, 56, 0, -64, 0, -76, 0, -64, 0, -32, 0, 24, 0, -30, 0, 0, 0, 64, 0, 48, 0, 96, 0, -144, 0, 52, 0, 28, 0, -108, 0, -160, 0, -12, 0, -24, 0, 0, 0, 64, 0, -104, 0, 48, 0, -56, 0, -176, 0, -84, 0, 32, 0, 128, 0, 16, 0, 20, 0, -128, 0, 24, 0, 0, 0, -136, 0, -24, 0, -44, 0, -112, 0, -44, 0, 16, 0, -120, 0, 0, 0, 120, 0, -24, 0, -168, 0, -32, 0, 0, 0, 96, 0, -68, 0, 32, 0, -120, 0, 76, 0, 0, 0, -16, 0, 0, 0, -16, 0, -8, 0, 48, 0, 68, 0, 0, 0, 180, 0, 144, 0, -60, 0, 0, 0, 40, 0, 32, 0, 64, 0, 120, 0, -88, 0, 64, 0, 60, 0, -56, 0, 0, 0, 32, 0, 0, 0, -32, 0, -36, 0, -96, 0, -224, 0, 8, 0, 148, 0, 16, 0, 48, 0, 88, 0, -48, 0, 0, 0, -96, 0, 48, 0, -32, 0, 144, 0, 168, 0, -12, 0, -40, 0, -128, 0, 32, 0, 80, 0, 0, 0, -208, 0, 40, 0, 48, 0, 96, 0, 16, 0, -28, 0, 40, 0, -44, 0, -48, 0, 76, 0, 0, 0, 0, 0, -144, 0, 40, 0, 16, 0, 136, 0, -208, 0, 28, 0, 80, 0, 64, 0, -80, 0, -12, 0, -8, 0, 0, 0, -96, 0, 8, 0, -64, 0, 0, 0, 32, 0, -104, 0, 160, 0, -128, 0, 0, 0, 16, 0, -32, 0, 56, 0, -96, 0, -24, 0, 28, 0, -272, 0, 0, 0, -104, 0, 32, 0, -54, 0, -48, 0, -160, 0, -168, 0, -256, 0, -32, 0, -8, 0, -48, 0, 92, 0, -64, 0, 32, 0, 48, 0, 24, 0, -240, 0, 112, 0, 176, 0, 72, 0, -8, 0, -100, 0, -48, 0, -104, 0, 152, 0, -20, 0, -24, 0, 104, 0, -80, 0, -200, 0, -32, 0, -88, 0, -104, 0, -68, 0, -48, 0, -232, 0, 0, 0, -184, 0, 16, 0, 0, 0, -32, 0, -32, 0, -104, 0, 36, 0, -24, 0, -176, 0, 60, 0, 20, 0, -16, 0, -12, 0, 200, 0, -160, 0, 0, 0, -8, 0, 104, 0, 76, 0, -96, 0, 24, 0, -16, 0, 120, 0, -88, 0, -24, 0, 144, 0, -96, 0, -80, 0, 32, 0, -16, 0, -168, 0, 32, 0, 36, 0, 16, 0, -24, 0, 48, 0, 232, 0, -80, 0, -248, 0, 32, 0, -164, 0, 16, 0, -92, 0, -40, 0, 200, 0, 144, 0, 40, 0, -160, 0, 136, 0, 40, 0, 72, 0, -48, 0, -144, 0, 24, 0, -12, 0, 112, 0, -148, 0, -16, 0, -104, 0, -16, 0, -240, 0, 12, 0, -136, 0, 0, 0, -132, 0, 32, 0, 288, 0, -40, 0, -184, 0, 64, 0, 144, 0, 0, 0, 120, 0, -168, 0, -128, 0, 48, 0, -12, 0, -176, 0, 136, 0, -288, 0, -24, 0, -80, 0, -24, 0, 80, 0, 224, 0, -8, 0, 40, 0, 0, 0, 16, 0, -24, 0, -72, 0, 160, 0, -48, 0, 0, 0, 8, 0, 56, 0, 0, 0, -120, 0, 40, 0, 16, 0, 32, 0, 112, 0, 0, 0, -64, 0, -8, 0, 112, 0, -40, 0, 0, 0, 48, 0, -72, 0, -64, 0, 32, 0, 40, 0, -120, 0, 72, 0, -96, 0, 44, 0, 156, 0, -24, 0, 0, 0, 0, 0, 96, 0, -348, 0, 176, 0, -56, 0, 56, 0, 16, 0, 152, 0, -64, 0, 176, 0, 88, 0, 0, 0, 0, 0, -152, 0, 448, 0, 112, 0, 96, 0, 128, 0, 4, 0, 128, 0, -200, 0, 48, 0, -54, 0, -48, 0, -12, 0, 0, 0, 64, 0, -176, 0, 360, 0, 56, 0, 100, 0, 64, 0, -124, 0, 0, 0, -368, 0, -240, 0, 256, 0, 48, 0, 24, 0, 240, 0, 80, 0, 72, 0, 80, 0, 120, 0, 0, 0, 56, 0, 148, 0, 64, 0, -72, 0, -200, 0, -108, 0, 0, 0, -12, 0, -176, 0, 300, 0, 0, 0, 160, 0, 100, 0, -48, 0, 96, 0, 144, 0, -224, 0, 88, 0, -64, 0, 0, 0, -16, 0, 0, 0, 96, 0, 212, 0, 40, 0, 80, 0, 144, 0, -180, 0, -152, 0, -48, 0, 96, 0, -4, 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: 907993
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '2288.2.a.c', 'source_level': 2288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '286.2.a.f', 'target_level': 286, 'twist_class_label': '286.2.a.f', 'twist_class_level': 286, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 907994
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '2288.2.a.c', 'source_level': 2288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '2288.2.a.c', 'target_level': 2288, 'twist_class_label': '286.2.a.f', 'twist_class_level': 286, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 907995
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '2288.2.a.c', 'source_level': 2288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '2574.2.a.f', 'target_level': 2574, 'twist_class_label': '286.2.a.f', 'twist_class_level': 286, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 907996
    {'conductor': 44, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '2288.2.a.c', 'source_level': 2288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '3146.2.a.i', 'target_level': 3146, 'twist_class_label': '286.2.a.f', 'twist_class_level': 286, 'twisting_char_label': '44.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 907997
    {'conductor': 52, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '2288.2.a.c', 'source_level': 2288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '3718.2.a.h', 'target_level': 3718, 'twist_class_label': '286.2.a.f', 'twist_class_level': 286, 'twisting_char_label': '52.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 907998
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '2288.2.a.c', 'source_level': 2288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '7150.2.a.g', 'target_level': 7150, 'twist_class_label': '286.2.a.f', 'twist_class_level': 286, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 907999
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '2288.2.a.c', 'source_level': 2288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '9152.2.a.e', 'target_level': 9152, 'twist_class_label': '286.2.a.f', 'twist_class_level': 286, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 908000
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '2288.2.a.c', 'source_level': 2288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 29, 'target_is_minimal': False, 'target_label': '9152.2.a.bc', 'target_level': 9152, 'twist_class_label': '286.2.a.f', 'twist_class_level': 286, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2547475
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 2}
  • id: 2547476
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 3}
  • id: 2547477
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 5}
  • id: 2547478
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 7}
  • id: 2547479
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 11}
  • id: 2547480
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 13}
  • id: 2547481
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 17}
  • id: 2547482
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 19}
  • id: 2547483
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 23}
  • id: 2547484
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 29}
  • id: 2547485
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 31}
  • id: 2547486
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 37}
  • id: 2547487
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 41}
  • id: 2547488
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 43}
  • id: 2547489
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 47}
  • id: 2547490
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 53}
  • id: 2547491
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 59}
  • id: 2547492
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 61}
  • id: 2547493
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 67}
  • id: 2547494
    {'charpoly_factorization': [[[16, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 71}
  • id: 2547495
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 73}
  • id: 2547496
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 79}
  • id: 2547497
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 83}
  • id: 2547498
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 9007199288297712, 'p': 89}
  • id: 2547499
    {'charpoly_factorization': [[[16, 1], 1]], 'hecke_orbit_code': 9007199288297712, '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': 3, 'label': '2288.2.a.c', 'level': 2288, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 26520055
    {'hecke_orbit_code': 9007199288297712, 'n': 1, 'trace_an': 1}
  • id: 26520056
    {'hecke_orbit_code': 9007199288297712, 'n': 2, 'trace_an': 0}
  • id: 26520057
    {'hecke_orbit_code': 9007199288297712, 'n': 3, 'trace_an': -2}
  • id: 26520058
    {'hecke_orbit_code': 9007199288297712, 'n': 4, 'trace_an': 0}
  • id: 26520059
    {'hecke_orbit_code': 9007199288297712, 'n': 5, 'trace_an': 1}
  • id: 26520060
    {'hecke_orbit_code': 9007199288297712, 'n': 6, 'trace_an': 0}
  • id: 26520061
    {'hecke_orbit_code': 9007199288297712, 'n': 7, 'trace_an': 3}
  • id: 26520062
    {'hecke_orbit_code': 9007199288297712, 'n': 8, 'trace_an': 0}
  • id: 26520063
    {'hecke_orbit_code': 9007199288297712, 'n': 9, 'trace_an': 1}
  • id: 26520064
    {'hecke_orbit_code': 9007199288297712, 'n': 10, 'trace_an': 0}
  • id: 26520065
    {'hecke_orbit_code': 9007199288297712, 'n': 11, 'trace_an': -1}
  • id: 26520066
    {'hecke_orbit_code': 9007199288297712, 'n': 12, 'trace_an': 0}
  • id: 26520067
    {'hecke_orbit_code': 9007199288297712, 'n': 13, 'trace_an': 1}
  • id: 26520068
    {'hecke_orbit_code': 9007199288297712, 'n': 14, 'trace_an': 0}
  • id: 26520069
    {'hecke_orbit_code': 9007199288297712, 'n': 15, 'trace_an': -2}
  • id: 26520070
    {'hecke_orbit_code': 9007199288297712, 'n': 16, 'trace_an': 0}
  • id: 26520071
    {'hecke_orbit_code': 9007199288297712, 'n': 17, 'trace_an': -6}
  • id: 26520072
    {'hecke_orbit_code': 9007199288297712, 'n': 18, 'trace_an': 0}
  • id: 26520073
    {'hecke_orbit_code': 9007199288297712, 'n': 19, 'trace_an': 0}
  • id: 26520074
    {'hecke_orbit_code': 9007199288297712, 'n': 20, 'trace_an': 0}
  • id: 26520075
    {'hecke_orbit_code': 9007199288297712, 'n': 21, 'trace_an': -6}
  • id: 26520076
    {'hecke_orbit_code': 9007199288297712, 'n': 22, 'trace_an': 0}
  • id: 26520077
    {'hecke_orbit_code': 9007199288297712, 'n': 23, 'trace_an': -1}
  • id: 26520078
    {'hecke_orbit_code': 9007199288297712, 'n': 24, 'trace_an': 0}
  • id: 26520079
    {'hecke_orbit_code': 9007199288297712, 'n': 25, 'trace_an': -4}
  • id: 26520080
    {'hecke_orbit_code': 9007199288297712, 'n': 26, 'trace_an': 0}
  • id: 26520081
    {'hecke_orbit_code': 9007199288297712, 'n': 27, 'trace_an': 4}
  • id: 26520082
    {'hecke_orbit_code': 9007199288297712, 'n': 28, 'trace_an': 0}
  • id: 26520083
    {'hecke_orbit_code': 9007199288297712, 'n': 29, 'trace_an': -3}
  • id: 26520084
    {'hecke_orbit_code': 9007199288297712, 'n': 30, 'trace_an': 0}
  • id: 26520085
    {'hecke_orbit_code': 9007199288297712, 'n': 31, 'trace_an': -10}
  • id: 26520086
    {'hecke_orbit_code': 9007199288297712, 'n': 32, 'trace_an': 0}
  • id: 26520087
    {'hecke_orbit_code': 9007199288297712, 'n': 33, 'trace_an': 2}
  • id: 26520088
    {'hecke_orbit_code': 9007199288297712, 'n': 34, 'trace_an': 0}
  • id: 26520089
    {'hecke_orbit_code': 9007199288297712, 'n': 35, 'trace_an': 3}
  • id: 26520090
    {'hecke_orbit_code': 9007199288297712, 'n': 36, 'trace_an': 0}
  • id: 26520091
    {'hecke_orbit_code': 9007199288297712, 'n': 37, 'trace_an': 2}
  • id: 26520092
    {'hecke_orbit_code': 9007199288297712, 'n': 38, 'trace_an': 0}
  • id: 26520093
    {'hecke_orbit_code': 9007199288297712, 'n': 39, 'trace_an': -2}
  • id: 26520094
    {'hecke_orbit_code': 9007199288297712, 'n': 40, 'trace_an': 0}
  • id: 26520095
    {'hecke_orbit_code': 9007199288297712, 'n': 41, 'trace_an': 7}
  • id: 26520096
    {'hecke_orbit_code': 9007199288297712, 'n': 42, 'trace_an': 0}
  • id: 26520097
    {'hecke_orbit_code': 9007199288297712, 'n': 43, 'trace_an': 1}
  • id: 26520098
    {'hecke_orbit_code': 9007199288297712, 'n': 44, 'trace_an': 0}
  • id: 26520099
    {'hecke_orbit_code': 9007199288297712, 'n': 45, 'trace_an': 1}
  • id: 26520100
    {'hecke_orbit_code': 9007199288297712, 'n': 46, 'trace_an': 0}
  • id: 26520101
    {'hecke_orbit_code': 9007199288297712, 'n': 47, 'trace_an': 4}
  • id: 26520102
    {'hecke_orbit_code': 9007199288297712, 'n': 48, 'trace_an': 0}
  • id: 26520103
    {'hecke_orbit_code': 9007199288297712, 'n': 49, 'trace_an': 2}
  • id: 26520104
    {'hecke_orbit_code': 9007199288297712, 'n': 50, 'trace_an': 0}
  • id: 26520105
    {'hecke_orbit_code': 9007199288297712, 'n': 51, 'trace_an': 12}
  • id: 26520106
    {'hecke_orbit_code': 9007199288297712, 'n': 52, 'trace_an': 0}
  • id: 26520107
    {'hecke_orbit_code': 9007199288297712, 'n': 53, 'trace_an': 6}
  • id: 26520108
    {'hecke_orbit_code': 9007199288297712, 'n': 54, 'trace_an': 0}
  • id: 26520109
    {'hecke_orbit_code': 9007199288297712, 'n': 55, 'trace_an': -1}
  • id: 26520110
    {'hecke_orbit_code': 9007199288297712, 'n': 56, 'trace_an': 0}
  • id: 26520111
    {'hecke_orbit_code': 9007199288297712, 'n': 57, 'trace_an': 0}
  • id: 26520112
    {'hecke_orbit_code': 9007199288297712, 'n': 58, 'trace_an': 0}
  • id: 26520113
    {'hecke_orbit_code': 9007199288297712, 'n': 59, 'trace_an': 5}
  • id: 26520114
    {'hecke_orbit_code': 9007199288297712, 'n': 60, 'trace_an': 0}
  • id: 26520115
    {'hecke_orbit_code': 9007199288297712, 'n': 61, 'trace_an': -11}
  • id: 26520116
    {'hecke_orbit_code': 9007199288297712, 'n': 62, 'trace_an': 0}
  • id: 26520117
    {'hecke_orbit_code': 9007199288297712, 'n': 63, 'trace_an': 3}
  • id: 26520118
    {'hecke_orbit_code': 9007199288297712, 'n': 64, 'trace_an': 0}
  • id: 26520119
    {'hecke_orbit_code': 9007199288297712, 'n': 65, 'trace_an': 1}
  • id: 26520120
    {'hecke_orbit_code': 9007199288297712, 'n': 66, 'trace_an': 0}
  • id: 26520121
    {'hecke_orbit_code': 9007199288297712, 'n': 67, 'trace_an': 1}
  • id: 26520122
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  • id: 26520123
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  • id: 26520124
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  • id: 26520125
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  • id: 26520126
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  • id: 26520127
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  • id: 26520128
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  • id: 26520129
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  • id: 26520130
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  • id: 26520131
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  • id: 26520132
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  • id: 26520133
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  • id: 26520134
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  • id: 26520135
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  • id: 26520136
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  • id: 26520137
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  • id: 26520138
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  • id: 26520139
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  • id: 26520140
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  • id: 26520141
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  • id: 26520142
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  • id: 26520143
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  • id: 26520144
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  • id: 26520145
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  • id: 26520146
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  • id: 26520147
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  • id: 26520148
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  • id: 26520149
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  • id: 26520150
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  • id: 26520151
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  • id: 26520152
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  • id: 26520153
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  • id: 26520154
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  • id: 26520155
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  • id: 26520156
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  • id: 26520157
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  • id: 26520158
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  • id: 26520159
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  • id: 26520160
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  • id: 26520161
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  • id: 26520162
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  • id: 26520163
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  • id: 26520164
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  • id: 26520165
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  • id: 26520166
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  • id: 26520167
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  • id: 26520168
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  • id: 26520169
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  • id: 26520170
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  • id: 26520171
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  • id: 26520172
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  • id: 26520173
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  • id: 26520174
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  • id: 26520175
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  • id: 26520176
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  • id: 26520177
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  • id: 26520178
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  • id: 26520179
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  • id: 26520180
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  • id: 26520181
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  • id: 26520182
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  • id: 26520183
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  • id: 26520184
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  • id: 26520185
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  • id: 26520186
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  • id: 26520187
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  • id: 26520188
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  • id: 26520189
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  • id: 26520190
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  • id: 26520191
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  • id: 26520192
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  • id: 26520193
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  • id: 26520194
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  • id: 26520195
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  • id: 26520196
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  • id: 26520197
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  • id: 26520198
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  • id: 26520199
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  • id: 26520200
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  • id: 26520201
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  • id: 26520202
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  • id: 26520203
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  • id: 26520204
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  • id: 26520205
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  • id: 26520206
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  • id: 26520207
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  • id: 26520208
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  • id: 26520209
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  • id: 26520210
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  • id: 26520211
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  • id: 26520212
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  • id: 26520213
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  • id: 26520214
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  • id: 26520215
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  • id: 26520216
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  • id: 26520217
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  • id: 26520218
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  • id: 26520219
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  • id: 26520220
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  • id: 26520221
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  • id: 26520222
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  • id: 26520223
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  • id: 26520224
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  • id: 26520225
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  • id: 26520226
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  • id: 26520227
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  • id: 26520228
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  • id: 26520229
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  • id: 26520230
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  • id: 26520231
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  • id: 26520232
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  • id: 26520233
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  • id: 26520234
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  • id: 26520235
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  • id: 26520236
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  • id: 26520237
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  • id: 26520238
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  • id: 26520239
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  • id: 26520240
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  • id: 26520241
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  • id: 26520242
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  • id: 26520243
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  • id: 26520244
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  • id: 26520245
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  • id: 26520246
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  • id: 26520247
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  • id: 26520248
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  • id: 26520249
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  • id: 26520250
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  • id: 26520251
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  • id: 26520252
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  • id: 26520253
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  • id: 26520254
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  • id: 26520255
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  • id: 26520256
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  • id: 26520257
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  • id: 26520258
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  • id: 26520259
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  • id: 26520260
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  • id: 26520261
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  • id: 26520262
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  • id: 26520263
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  • id: 26520264
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  • id: 26520265
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  • id: 26520266
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  • id: 26520267
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  • id: 26520268
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  • id: 26520269
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  • id: 26520270
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  • id: 26520271
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  • id: 26520272
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  • id: 26520273
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  • id: 26520274
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  • id: 26520275
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  • id: 26520276
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  • id: 26520277
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  • id: 26520278
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  • id: 26520279
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  • id: 26520280
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  • id: 26520281
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  • id: 26520282
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  • id: 26520283
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  • id: 26520284
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  • id: 26520285
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  • id: 26520286
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  • id: 26520287
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  • id: 26520288
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  • id: 26520289
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  • id: 26520290
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  • id: 26520291
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  • id: 26520292
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  • id: 26520293
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  • id: 26520294
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  • id: 26520295
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  • id: 26520296
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  • id: 26520297
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  • id: 26520298
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  • id: 26520299
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  • id: 26520300
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  • id: 26520301
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  • id: 26520302
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  • id: 26520303
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  • id: 26520304
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  • id: 26520305
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  • id: 26520306
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  • id: 26520307
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  • id: 26520308
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  • id: 26520309
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  • id: 26520310
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  • id: 26520311
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  • id: 26520312
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