Newform data - 4851.2.a.bh

Formats: - HTML - YAML - JSON - 2023-01-29T14:45:44.117173

• 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_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': 19404, 'analytic_conductor': 38.73543002052311, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [7, -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': [4851, 1, [4313, 199, 442], [1, 1, 1]], 'cm_discs': [], 'conrey_indexes': [1], 'dim': 2, 'field_disc': 5, 'field_disc_factorization': [[5, 1]], 'field_poly': [-1, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 10, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [1, -3, 1]], [5, [-5, 0, 1]], [13, [-19, 2, 1]], [17, [6, 1]]], 'hecke_orbit': 34, 'hecke_orbit_code': 148618787736785651, 'hecke_ring_generator_nbound': 2, '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': '4851.2.a.bh', 'level': 4851, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7, 11], 'level_radical': 231, 'minimal_twist': '1617.2.a.k', 'nf_label': '2.2.5.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1+\\beta )q^{2}+3\\beta q^{4}+(-1+2\\beta )q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4851.2.a', 'trace_display': [3, 0, 0, 0], 'trace_hash': 498537191354606662, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.054', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.950', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.236', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.607', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.673', 'prec': 17}, {'__RealLiteral__': 0, 'data': '66.418', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.026', 'prec': 17}, 'traces': [2, 3, 0, 3, 0, 0, 0, 6, 0, 5, 2, 0, -2, 0, 0, 13, -12, 0, -4, 15, 0, 3, -4, 0, 0, 7, 0, 0, 16, 0, 8, 15, 0, -18, 0, 0, -10, -11, 0, 20, -12, 0, 8, 3, 0, 4, -14, 0, 0, 0, 0, 27, 8, 0, 0, 0, 0, 29, 6, 0, 4, 22, 0, 4, 20, 0, -12, -18, 0, 0, 0, 0, -2, -5, 0, -21, 0, 0, 4, 15, 0, -18, -16, 0, 0, 2, 0, 6, 0, 0, 0, 24, 0, -31, -10, 0, 4, 0, 0, 0, -16, 0, 12, 34, 0, 32, -22, 0, 12, 5, 0, 0, -4, 0, 20, 39, 0, 29, 0, 0, 2, -14, 0, 42, 0, 0, 32, -9, 0, 25, 0, 0, 0, -3, 0, -36, -12, 0, 16, 0, 0, -10, -2, 0, 10, -3, 0, 15, 0, 0, 4, -32, 0, 0, 20, 0, -20, -4, 0, 15, 0, 0, 4, -18, 0, -34, -28, 0, 16, -30, 0, -18, -20, 0, 0, 13, 0, 30, 20, 0, -8, 0, 0, 28, 20, 0, -12, -51, 0, -25, -24, 0, 16, -14, 0, 0, 8, 0, 40, 0, 0, -14, 0, 0, 0, -12, 0, 17, -4, 0, 20, 72, 0, -53, -20, 0, 0, 18, 0, 15, 12, 0, 36, 0, 0, -16, 0, 0, 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0, 89, -60, 0, 72, -90, 0, 72, -80, 0, -120, -15, 0, 0, 82, 0, -100, -103, 0, 112, 0, 0, 24, -9, 0, 0, 148, 0, 48, -53, 0, -174, 144, 0, 0, 180, 0, -121, -96, 0, -20, 0, 0, 40, -144, 0, 24, 162, 0, -9, 50, 0, -86, -174, 0, 0, 84, 0, 32, -105, 0, -65, 0, 0, 12, -125, 0, 12, 92, 0, -80, -192, 0, 18, 42, 0, 0, 182, 0, 117, -120, 0, -148, 0, 0, -95, 20, 0, -64, 60, 0, -34, -36, 0, -36, 15, 0, 0, -8, 0, 0, 62, 0, -93, 0, 0, 12, -7, 0, 28, -80, 0, 56, 96, 0, -80, 84, 0, 0, -219, 0, -20, 24, 0, -24, 0, 0, 108, 36, 0, 80, 96, 0, 10, -30, 0, -36, -9, 0, 0, -60, 0, 4, 270, 0, -85, 0, 0, 30, 72, 0, 132, -24, 0, 120, 190, 0, 18, 24, 0, 0, -16, 0, 104, -20, 0, -136, 0, 0, 6, 90, 0, 0, 37, 0, -75, -24, 0, -152, 224, 0, 0, -24, 0, 144, -35, 0, -40, 0, 0, 60, -90, 0, 4, 4, 0, -84, -86, 0, -12, 0, 0, 0, 0, 0, 20, -24, 0, 0, 0, 0, -188, -56, 0, 92, 240, 0, -132, 114, 0, 20, -9, 0, 0, 48, 0, 104, 68, 0, -142, 0, 0, 162, 158, 0, -140, 32, 0, 0, -78, 0, -107, -24, 0, 0, 35, 0, 66, -104, 0, 0, 0, 0, 22, 42, 0, 60, 72, 0, 192, -20, 0, 0, 63, 0, 0, -14, 0, -74, 96, 0, 69, 0, 0, -32, 0, 0, 11, 24, 0, -10, -77, 0, -109, -120, 0, 0, -84, 0, 160, -30, 0, 76, 0, 0, 30, 96, 0, 96, -24, 0, -6, -40, 0, 10, 45, 0, 0, -72, 0, -120, -165, 0, -68, 0, 0, -32, 114, 0, -12, -80, 0, 4, -96, 0, 0, -38, 0, 0, -90, 0, -150, -60, 0, -32, 0, 0, 3, 58, 0, -120, -12, 0, 192, 120, 0, -48, -212, 0, 0, 0, 0, 12, -108, 0, -30, 0, 0, 48, -54, 0, 24, 6, 0, -126, 90, 0, -6, -48, 0, 0, 108, 0, 50, 72, 0, 10, 0, 0, 44, 60, 0, 8, -180, 0, 15, 24, 0, 24, 92, 0, 0, -16, 0, 40, -90, 0, 214, 0, 0, 0, -313, 0, 64, -84, 0, 80, -12, 0, -54, -60, 0, 0, -76, 0, -90, 48, 0, 60, 0, 0, -132, 72, 0, -42, -25, 0, -44, -144, 0, -100, 168, 0, 0, 120, 0, 10, 108, 0, -30, 0, 0, 24, -100, 0, -110, -24, 0, -122, 11, 0, -32, 0, 0, 0, 120, 0, -177, -4, 0, 90, 0, 0, 108, -80, 0, 8, -54, 0, 48, 100, 0, -94, -93, 0, 0, -72, 0, -40, 90, 0, -72, 0, 0, 86, -45, 0, 15, -8, 0, 20, -9, 0, -8, -88, 0, 0, 204, 0, 32, 0, 0, 20, 0, 0, 35, 70, 0, 20, 42, 0, 117, 32, 0, 168, -60, 0, 0, 12, 0, 20, -129, 0, 90, 0, 0, -36, 96, 0, -8, 60, 0, -136, 120, 0, 15, 40, 0, 0, 100, 0, 171, 52, 0, 32, 0, 0, 152, -96, 0, -100, -69, 0, 66, 46, 0, -108, 10, 0, 0, 40, 0, -52, 20, 0, 95, 0, 0, -18, 51, 0, -22, 8, 0, -36, 0, 0, 9, -48, 0, 0, 66, 0, -36, -44, 0, 0, 0, 0, -254, 40, 0, -26, -177, 0, -20, -64, 0, -60, 108, 0, 0, 48, 0, -108, 80, 0, 54, 0, 0, 40, -192, 0, -64, -132, 0, 120, -100, 0, 68, -80, 0, 0, 27, 0, 0, -240, 0, -4, 0, 0, 180, 48, 0, 24, 55, 0, 29, 116, 0, 60, -60, 0, 0, -20, 0, -112, -153, 0, -132, 0, 0, 116, -144, 0, -105, 24, 0, -20, -128, 0, -31, 36, 0, 0, 20, 0, -78, 12, 0, -140, 0, 0, 50, 84, 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], [1, 1], [0, 0], [0, 3], [-1, 2], [0, 0], [0, 0], [1, 4], [0, 0], [1, 3], [1, 0], [0, 0], [-3, 4], [0, 0], [0, 0], [5, 3], [-6, 0], [0, 0], [-1, -2], [6, 3], [0, 0], [1, 1], [-4, 4], [0, 0], [0, 0], [1, 5], [0, 0], [0, 0], [7, 2], [0, 0], [2, 4], [6, 3], [0, 0], [-6, -6], [0, 0], [0, 0], [-7, 4], [-3, -5], [0, 0], [7, 6], [-6, 0], [0, 0], [6, -4], [0, 3], [0, 0], [0, 4], [-5, -4], [0, 0], [0, 0], [0, 0], [0, 0], [12, 3], [0, 8], [0, 0], [-1, 2], [0, 0], [0, 0], [9, 11], [-1, 8], [0, 0], [6, -8], [6, 10], [0, 0], [-1, 6], [11, -2], [0, 0], [-9, 6], [0, -18], [0, 0], [0, 0], [2, -4], [0, 0], [-1, 0], [-3, 1], [0, 0], [-6, -9], [0, 0], [0, 0], [4, -4], [1, 13], [0, 0], [-6, -6], [-6, -4], [0, 0], [6, -12], [2, -2], [0, 0], [1, 4], [-6, 12], [0, 0], [0, 0], [12, 0], [0, 0], [-9, -13], [-3, -4], [0, 0], [6, -8], [0, 0], [0, 0], [0, 0]], 'ap': [[1, 1], [0, 0], [-1, 2], [0, 0], [1, 0], [-3, 4], [-6, 0], [-1, -2], [-4, 4], [7, 2], [2, 4], [-7, 4], [-6, 0], [6, -4], [-5, -4], [0, 8], [-1, 8], [6, -8], [-9, 6], [2, -4], [-1, 0], [4, -4], [-6, -4], [-6, 12], [6, -8], [-10, 4], [12, -12], [-7, -8], [6, 0], [0, -4], [16, 0], [-2, 4], [-6, 0], [8, 0], [7, -14], [6, -8], [-16, 12], [11, -18], [-12, -4], [-12, 4], [12, -4], [-6, 4], [-12, 0], [0, 16], [2, 4], [18, 4], [6, 8], [18, 0], [12, -24], [-4, 12], [6, -12], [15, -20], [-19, 0], [9, -8], [11, -2], [-15, 12], [10, 4], [15, -6], [-6, -8], [11, -10], [-5, 6], [-16, 16], [16, 0], [0, 8], [-6, 20], [-14, -8], [-16, 0], [-8, 12], [12, -8], [17, -12], [1, 2], [8, 8], [-6, -12], [-4, -8], [-3, -14], [4, -8], [18, -24], [-10, 12], [2, 4], [14, 0], [-3, 0], [23, 4], [-15, 20], [-32, 12], [-21, 18], [-22, 8], [6, 12], [8, -12], [-10, -4], [7, -6], [15, -24], [4, -16], [4, -16], [-15, 16], [-7, 18], [-30, 12], [-42, 4], [27, -2], [13, -6], [2, 12], [6, -12], [-21, 18], [-2, 4], [6, 4], [-30, 12], [22, 8], [-27, 8], [18, 12], [20, -28], [-33, 24], [-13, -6], [0, 12], [-18, 36], [8, 12], [-4, 0], [-38, 4], [-14, 12], [-15, 12], [20, -16], [-7, -16], [-4, 0], [-38, 12], [-24, -12], [-16, 4], [26, -12], [-6, 12], [3, 12], [37, -20], [24, -12], [42, -8], [24, 12], [33, -28], [-17, 18], [-31, 12], [-20, 4], [1, 0], [43, -14], [9, 18], [49, -2], [31, -10], [21, -30], [-15, 30], [3, -30], [-39, 24], [4, -24], [27, -4], [10, -40], [-14, 40], [-4, 12], [10, -28], [4, -16], [-13, 22], [1, 2], [-4, 20], [-40, 16], [12, 12], [-24, 16], [9, -38], [-22, 40], [20, -44], [-26, 16], [-33, 38], [-12, 36], [1, -16], [20, -4], [0, -24], [23, -6], [42, 0], [-24, 16], [7, 34], [-31, -8], [-18, 12], [8, -32], [34, -24], [2, 16], [42, 12], [32, 4], [12, 24], [33, -34], [-1, -12], [-9, 34], [24, -28], [30, 8], [-2, -4], [32, -16], [15, -22], [20, -24], [8, 24], [16, -36], [-42, -4], [-26, -16], [51, -16], [-21, -10], [5, -34], [-3, 0], [-3, -14], [66, -4], [42, -16], [4, 4], [4, -8], [-2, 4], [-11, 6], [8, 12], [23, -8], [44, -32], [-10, -28], [42, 8], [7, -32], [2, 4], [-8, 24], [16, 12], [-15, 14], [9, -26], [32, 16], [-28, 4], [-10, 36], [-30, 0], [66, 4], [-18, 0], [-60, 12], [-12, 36], [-39, 6], [8, -8], [-19, -18], [-8, 4], [-8, 36], [33, 18], [6, 12], [9, 6], [3, 0], [22, 0], [-51, -6], [-44, 8], [23, -10], [44, -48], [-60, 12], [-48, 0], [-13, 2], [-10, 20], [-21, 12], [-12, 36], [-44, 48], [36, 20], [38, 24], [-44, 8], [-16, 28], [48, -16], [31, -40], [22, -40], [-23, 44], [16, 0], [-6, 44], [14, -8], [-26, 8], [8, -4], [8, 16], [-7, -20], [57, -30], [41, -26], [43, -24], [-42, 4], [52, 8], [-30, 16], [47, -20], [-7, 10], [-70, 16], [54, 4], [-21, 54], [16, -4], [30, -28], [20, 16], [-9, -18], [-4, 0], [-44, 20], [-9, 24], [0, 28], [16, 28], [-54, 4], [0, -36], [12, -12], [32, 8], [24, 32], [-12, -40], [27, -36], [-41, 6], [-30, -8], [-5, 24], [42, -12], [16, 0], [24, -24], [-34, 28], [20, 16], [51, -18], [-14, 20], [48, -60], [-22, -4], [30, -20], [10, -44], [18, 24], [7, 38], [-19, -8], [33, 30], [38, -48], [-22, -28], [11, -18], [-13, 24], [-50, 52], [-14, 12], [6, -4], [4, 32], [-32, 28], [40, -8], [19, -26], [48, -8], [-36, -8], [54, -8], [12, -32], [0, 48], [32, 36], [-30, 60], [-33, -18], [15, 16], [6, -16], [56, 0], [-15, 18], [84, -12], [-8, -16], [42, -40], [47, -28], [-13, -46], [50, -32], [40, -4], [-45, 10], [34, 8], [-34, -12], [15, -8], [43, -36], [-34, 16], [22, -24], [12, 16], [-18, 24], [-66, 0], [36, -56], [5, -2], [-38, -4], [49, -16], [-64, 28], [24, -24], [72, 4], [70, 4], [24, -24], [-55, 24], [22, 40], [19, -6], [0, 12], [32, 28], [31, -20], [32, -44], [-9, -18], [24, -56], [-2, 60], [52, -20], [30, -36], [-35, 40], [16, -28], [15, 0], [-50, 76], [-76, 0], [-24, -36], [-8, -8], [50, -8], [71, -28], [13, 22], [52, 0], [87, -12], [-7, 56], [15, -44], [-41, 8], [-44, -32], [38, 0], [45, 6], [-14, -44], [-8, 20], [-17, -26], [-32, 32], [15, 28], [-45, 42], [6, 0], [6, 36], [1, 4], [-75, 24], [-30, 12], [58, -44], [38, -68], [-20, 64], [-12, 48], [11, 18], [-43, 2], [24, 32], [27, -6], [-3, -36], [-68, -8], [18, -12], [-22, 44], [-42, 4], [9, -10], [-49, 4], [-50, 28], [6, -52], [-60, 32], [-14, 48], [30, -28], [22, -32], [12, -60], [-76, 16], [39, -38], [-3, 52], [-32, 12], [14, -20], [-36, 24], [-14, -16], [-11, -4], [32, -16], [-50, -32], [22, -48], [7, 34], [36, 44], [-41, 62], [-60, 8], [54, -24]], 'char_orbit_index': 1, 'field_poly': [-1, -1, 1], 'hecke_orbit_code': 148618787736785651, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '4851.2.a.bh', 'level': 4851, 'maxp': 2999, 'weight': 2}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_indexes	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': [[[[3, -1], [7, -1], [11, -1]], 30, 16], [[[3, 1], [7, -1], [11, -1]], 16, 6], [[[3, -1], [7, 1], [11, 1]], 28, 6], [[[3, 1], [7, -1], [11, 1]], 16, 6], [[[3, -1], [7, 1], [11, -1]], 20, 8], [[[3, -1], [7, -1], [11, 1]], 24, 10], [[[3, 1], [7, 1], [11, -1]], 19, 4], [[[3, 1], [7, 1], [11, 1]], 19, 4]], 'Nk2': 19404, 'analytic_conductor': 38.73543002052311, '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': [4851, 1, [4313, 199, 442], [1, 1, 1]], 'conrey_indexes': [1], 'cusp_dim': 641, 'dim': 172, 'eis_dim': 63, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5, 13, 17], 'hecke_orbit_code': 33559283, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 6, 6, 6, 6, 10, 10, 10], 'label': '4851.2.a', 'level': 4851, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7, 11], 'level_radical': 231, 'mf_dim': 704, 'mf_new_dim': 172, 'num_forms': 60, 'plus_dim': 79, 'prim_orbit_index': 1, 'relative_dim': 172, 'sturm_bound': 1344, 'trace_bound': 23, 'trace_display': [1, 0, 5, 0], 'traces': [172, 1, 0, 171, 5, 0, 0, -9, 0, -8, -2, 0, 10, 0, 0, 165, 16, 0, 0, -12, 0, 1, 1, 0, 185, -6, 0, 0, 14, 0, -13, 3, 0, 22, 0, 0, -3, -16, 0, 30, 10, 0, -30, -9, 0, 14, 0, 0, 0, 9, 0, 42, 28, 0, -1, 0, 0, 82, -21, 0, -10, -18, 0, 205, 84, 0, -19, 22, 0, 0, -9, 0, 34, 88, 0, 12, 0, 0, -42, 18, 0, 58, 30, 0, 58, 56, 0, 15, 51, 0, 0, 30, 0, -20, -32, 0, 51, 0, 0, 251, -20, 0, 0, 2, 0, -30, -26, 0, -56, 16, 0, 0, 65, 0, 35, 114, 0, -46, 0, 0, 172, -30, 0, -42, 57, 0, -28, 7, 0, 36, -18, 0, 0, 54, 0, -22, -19, 0, -10, 0, 0, -54, 6, 0, -40, -34, 0, -148, 4, 0, -142, -32, 0, 0, -39, 0, -9, 28, 0, 54, 0, 0, -100, 50, 0, -24, -72, 0, 188, 28, 0, 16, -36, 0, 0, -11, 0, -16, -53, 0, -35, 0, 0, -156, 13, 0, 0, 96, 0, -44, -133, 0, 26, 132, 0, 0, 88, 0, 8, 61, 0, -22, 0, 0, 8, 12, 0, 90, 20, 0, -56, 134, 0, -204, -150, 0, 0, 74, 0, 28, 44, 0, 71, 0, 0, -140, -90, 0, -67, -110, 0, 302, 126, 0, -52, -102, 0, 0, 14, 0, -38, 1, 0, -14, 0, 0, -224, 84, 0, 10, -17, 0, 23, -272, 0, 145, -40, 0, 0, 208, 0, -112, 34, 0, -26, 0, 0, -10, 72, 0, -44, -62, 0, -192, -27, 0, 140, 124, 0, 0, -184, 0, -80, -342, 0, -34, 0, 0, 168, 12, 0, 102, -66, 0, -39, 226, 0, -22, 20, 0, 0, -260, 0, 36, 144, 0, 28, 0, 0, -146, 4, 0, 73, 144, 0, -172, 149, 0, 18, 150, 0, 0, -20, 0, 74, -372, 0, 106, 0, 0, 119, -120, 0, -8, 11, 0, 44, -221, 0, -52, -3, 0, 0, 68, 0, 26, 160, 0, 36, 0, 0, 11, -25, 0, -7, 236, 0, -102, 20, 0, 216, -52, 0, 0, 120, 0, -101, 136, 0, 42, 0, 0, 28, -22, 0, 4, 20, 0, -45, 36, 0, 126, 45, 0, 0, 290, 0, -20, -123, 0, -118, 0, 0, -110, -22, 0, 16, -140, 0, 471, 60, 0, 64, 10, 0, 0, -57, 0, -36, 148, 0, -168, 0, 0, 82, -110, 0, -36, 96, 0, 152, 24, 0, -314, 146, 0, 0, 20, 0, -76, -18, 0, -73, 0, 0, 206, -12, 0, -68, 90, 0, -8, 31, 0, 115, -178, 0, 0, 111, 0, -18, 292, 0, -144, 0, 0, -10, 28, 0, 78, -94, 0, 65, 54, 0, 146, -93, 0, 0, -120, 0, 128, 10, 0, 36, 0, 0, -16, 20, 0, 104, -202, 0, 171, -17, 0, -121, -166, 0, 0, 136, 0, 180, 12, 0, 4, 0, 0, 44, -34, 0, 50, 54, 0, -110, -70, 0, -200, 23, 0, 0, 39, 0, -122, -100, 0, 12, 0, 0, 136, 101, 0, 4, -224, 0, -300, 114, 0, 165, 40, 0, 0, -104, 0, -38, 276, 0, 34, 0, 0, 26, -36, 0, 34, 158, 0, -360, -4, 0, -47, 80, 0, 0, -302, 0, -128, 60, 0, 104, 0, 0, 522, 16, 0, 121, 16, 0, -40, -190, 0, -12, -18, 0, 0, -136, 0, -109, -209, 0, -20, 0, 0, 48, 6, 0, 94, 208, 0, -220, 446, 0, -422, 30, 0, 0, -238, 0, -40, 16, 0, 32, 0, 0, -632, 5, 0, -6, -104, 0, -28, -192, 0, -134, 80, 0, 0, 92, 0, 7, 198, 0, -12, 0, 0, 26, -16, 0, -216, -246, 0, -153, -428, 0, -92, -44, 0, 0, 30, 0, 238, -53, 0, 157, 0, 0, -244, 67, 0, 29, 214, 0, -188, -201, 0, -2, 242, 0, 0, 34, 0, 123, -358, 0, -332, 0, 0, -28, 144, 0, -150, 58, 0, 116, 266, 0, 185, -116, 0, 0, 308, 0, 30, -152, 0, 121, 0, 0, -84, -12, 0, -47, -198, 0, 192, -30, 0, 12, -90, 0, 0, 16, 0, 100, 153, 0, 256, 0, 0, -155, 294, 0, -198, -205, 0, -8, -66, 0, -80, 5, 0, 0, -55, 0, 76, -170, 0, -169, 0, 0, 344, 116, 0, 50, -50, 0, -368, -53, 0, -174, 46, 0, 0, -340, 0, 114, 102, 0, -14, 0, 0, -199, 192, 0, 100, -90, 0, -124, -226, 0, -56, 162, 0, 0, 54, 0, -70, -280, 0, -2, 0, 0, -42, -192, 0, -68, 334, 0, 360, -96, 0, -19, 44, 0, 0, 75, 0, -128, -134, 0, -92, 0, 0, 364, -234, 0, 184, -31, 0, -216, 497, 0, -210, 22, 0, 0, 204, 0, 246, 414, 0, 14, 0, 0, 44, -4, 0, -24, 538, 0, 216, 164, 0, 219, -92, 0, 0, 128, 0, 183, -64, 0, 66, 0, 0, -332, 0, 0, -80, 65, 0, 356, 50, 0, -332, -97, 0, 0, -186, 0, 166, 195, 0, -20, 0, 0, -552, -58, 0, 41, -572, 0, 84, -24, 0, 418, -68, 0, 0, -30, 0, -260, -426, 0, 16, 0, 0, -94, -100, 0, 46, 237, 0, 116, -96, 0, -26, 118, 0, 0, -450, 0, 150, -112, 0, 53, 0, 0, -68, -212, 0, 144, 126, 0, -630, -31, 0, -84, -328, 0, 0, -212, 0, 2, 206, 0, 100, 0, 0, -82, -176, 0, -74, -276, 0, 250, -274, 0, 662, -36, 0, 0, -110, 0, -166, -22, 0, 42, 0, 0, -436, -48, 0, 12, -328, 0, 256, -209, 0, -228, -280, 0, 0, 440, 0, -27, -468, 0, -264, 0, 0, 121, -188, 0, -562, -28, 0, -12, -9, 0, -142, 9, 0, 0, -354, 0, -150, 185, 0, -55, 0, 0, -100, 85, 0, -118, -396, 0, -844, -446, 0, -428, 276, 0, 0, -312, 0, 40, 64, 0, 188, 0, 0, -182, 122, 0, 116, 280, 0, -52, 0, 0, 54, 23, 0, 0, -496, 0, -84, -50, 0, -8, 0, 0, -203, 50, 0, -128, 246, 0, 420, 84, 0, 138, -16, 0, 0, 284, 0, -103, 512, 0, 12, 0, 0, 52, 24, 0, -364, 377, 0, -138, -224, 0, -40, -8, 0, 0, 327, 0, -112, -497, 0, 64, 0, 0, -16, 29, 0, 22, -132, 0, -144, 28, 0, -480, 250, 0, 0, -88, 0, -144, 94, 0, -208, 0, 0, -36, -158, 0, 88, -286, 0, 59, -136, 0, -386, -84, 0, 0, -9, 0, 216, -209, 0, -144, 0, 0, 98, 16, 0, -60, 320, 0, -186, -371, 0, -34, 88, 0, 0, 172, 0, -108, -706, 0, -332, 0, 0, -248, 386, 0, -156, 28, 0, -370, -168, 0, -14, -222, 0, 0, -480, 0, -138, 293, 0, -47, 0, 0, 228, -146, 0, 99, -284, 0, 105, 572, 0, -248, -228, 0, 0, -218, 0, 96, 58, 0, 158, 0, 0, 77, 310, 0, 32, -280, 0, 18, -52, 0, -190, -52, 0, 0, 258, 0, 346, 120, 0, -172, 0, 0, 410, 223, 0, -186, -120, 0, -256, 20, 0, 208, 98, 0, 0, -284, 0, -178, -652, 0, -8, 0, 0, -151, -16, 0, 212, -176, 0, -158, 540, 0, 368, 114, 0, 0, 154, 0, -252, 142, 0, 266, 0, 0, -18, -120, 0, -28, 338, 0, -524, 472, 0, 115, -144, 0, 0, 124, 0, -82, -355, 0, 144, 0, 0, 13, -246, 0, 152, 57, 0, 20, 118, 0, 156, -31, 0, 0, 360, 0, -104, -116, 0, -44, 0, 0, 98, 37, 0, 309, 870, 0, 544, -324, 0, 170, 182, 0, 0, 118, 0, -164, 456, 0, 350, 0, 0, 98, -14, 0, 190, 91, 0, -21, -688, 0, 448, 112, 0, 0, -316, 0, -14, 504, 0, -146, 0, 0, 256, 74, 0, 25, -416, 0, 450, 386, 0, 24, -116, 0, 0, -2, 0, 82, 184, 0, 304, 0, 0, 72, -106, 0, 78, 28, 0, 30, -278, 0, 366, 76, 0, 0, 57, 0, 18, -432, 0, -113, 0, 0, -616, -114, 0, -256, 134, 0, -588, 100, 0, 521, -110, 0, 0, -97, 0, 27, -320, 0, 348, 0, 0, 130, -66, 0, -74, -166, 0, 188, 20, 0, -944, 72, 0, 0, 448, 0, 174, 72, 0, 384, 0, 0, -374, -64, 0, -98, -280, 0, -33, 325, 0, 72, -260, 0, 0, 112, 0, 28, -132, 0, 266, 0, 0, 657, -266, 0, 370, 88, 0, 64, 12, 0, -496, 32, 0, 0, 4, 0, 474, -172, 0, -30, 0, 0, 935, 223, 0, -124, -254, 0, -114, -136, 0, 175, 14, 0, 0, -176, 0, 204, -732, 0, -72, 0, 0, 0, 266, 0, -234, 408, 0, -90, 572, 0, -22, -216, 0, 0, -896, 0, 4, 350, 0, -159, 0, 0, 292, -58, 0, 235, 288, 0, -450, -54, 0, -252, -106, 0, 0, -343, 0, -96, 694, 0, 140, 0, 0, 3, 196, 0, -324, 295, 0, 170, -286, 0, -762, 224, 0, 0, 156, 0, 250, 457, 0, 74, 0, 0, 116, 86, 0, -136, -142, 0, 340, 84, 0, -192, 262, 0, 0, -63, 0, -4, 1062, 0, -198, 0, 0, -221, -164, 0, 70, -238, 0, 708, -556, 0, 436, 104, 0, 0, 102, 0, -140, 385, 0, -4, 0, 0, -450, -56, 0, 10, 88, 0, -90, -116, 0, 134, 92, 0, 0, 418, 0, 165, -300, 0, -278, 0, 0, -26, 140, 0, 552, 24, 0, 82, -172, 0, -41, 8, 0, 0, 746, 0, 10, 143, 0, 36, 0, 0, 416, -92, 0, -72, -266, 0, -174, 1040, 0, -172, 12, 0, 0, 672, 0, -198, -128, 0, -240, 0, 0, 155, 112, 0, 90, -275, 0, 100, -408, 0, 662, -278, 0, 0, 26, 0, -496, 190, 0, 64, 0, 0, 696, 333, 0, -292, 160, 0, 56, -42, 0, 780, -30, 0, 0, 548, 0, 64, 248, 0, -100, 0, 0, 16, 116, 0, 218, -288, 0, -108, 415, 0, 598, 234, 0, 0, 432, 0, 32, 316, 0, 52, 0, 0, -550, -72, 0, 108, 606, 0, -162, -184, 0, 79, -146, 0, 0, -473, 0, 276, 132, 0, 50, 0, 0, 64, -362, 0, -240, 13, 0, 266, 472, 0, 652, -23, 0, 0, -568, 0, 92, 64, 0, 208, 0, 0, -172, 224, 0, -417, 680, 0, 926, 490, 0, 163, 184, 0, 0, 164, 0, -8, 70, 0, 104, 0, 0, -280, 26, 0, -108, -264, 0, 835, -692, 0, 488, 84, 0, 0, -270, 0, -508, 356, 0, -458, 0, 0, -418, -96, 0, 383, -676, 0, 612, 385, 0, 12, 214, 0, 0, -80, 0, 148, 428, 0, -504, 0, 0, -34, -196, 0, -50, 209, 0, 36, -470, 0, 666, -184, 0, 0, 852, 0, -468, 2, 0, -44, 0, 0, -604, -304, 0, -194, 136, 0, -782, 409, 0, -371, 242, 0, 0, 305, 0, -112, -504, 0, -300, 0, 0, 312, 14, 0, 120, -72, 0, 48, 238, 0, 82, -128, 0, 0, -366, 0, 62, -2, 0, 28, 0, 0, 886, -86, 0, 340, -406, 0, -144, -325, 0, -560, -194, 0, 0, 660, 0, 385, -576, 0, -326, 0, 0, 412, -336, 0, 160, 100, 0, -44, -112, 0, 134, -23, 0, 0, -608, 0, -244, -35, 0, 20, 0, 0, -618, 192, 0, 50, -450, 0, -312, 198, 0, 323, 112, 0, 0, 0, 0, 122, -117, 0, 204, 0, 0, 136, 6, 0, -220, 482, 0, -336, 200, 0, 165, -100, 0, 0, 298, 0, -426, -448, 0, 345, 0, 0, -350, 250, 0, -51, -142, 0, -732, -250, 0, 300, -104, 0, 0, 270, 0, -48, -96, 0, 2, 0, 0, 141, 184, 0, 884, 495, 0, -76, 540, 0, -1072, 6, 0, 0, -108, 0, -32, 126, 0, 42, 0, 0, -628, 75, 0, -100, -42, 0, -68, -250, 0, 788, -48, 0, 0, -104, 0, 278, 4, 0, -408, 0, 0, 79, 204, 0, 176, -652, 0, -143, -74, 0, -1112, -104, 0, 0, -492, 0, 548, -115, 0, 123, 0, 0, -432, -80, 0, 71, 160, 0, -364, -132, 0, -256, 150, 0, 0, 394, 0, 125, 255, 0, 102, 0, 0, 242, 240, 0, -446, 16, 0, 300, -508, 0, -860, -204, 0, 0, 550, 0, 156, -152, 0, 8, 0, 0, 620, -244, 0, 171, -470, 0, -480, 224, 0, -575, 144, 0, 0, -156, 0, 136, 112, 0, 252, 0, 0, 388, -44, 0, -492, -259, 0, -135, 404, 0, -824, -138, 0, 0, -1104, 0, -88, 306, 0, 24, 0, 0, 205, 404, 0, 440, 12, 0, 112, -10, 0, 606, -20, 0, 0, 34, 0, 288, -152, 0, 40, 0, 0, 387, 18, 0, -148, -244, 0, 289, 772, 0, -276, 124, 0, 0, 860, 0, 374, 488, 0, 10, 0, 0, -1516, -128, 0, -3, 384, 0, 558, 103, 0, 60, -300, 0, 0, -384, 0, 12, -544, 0, 90, 0, 0, -601, -344, 0, 440, -75, 0, -352, 188, 0, -1968, -68, 0, 0, -10, 0, 246, 508, 0, -100, 0, 0, 97, 9, 0, -17, 784, 0, 998, -112, 0, 832, 248, 0, 0, -322, 0, -79, -858, 0, -54, 0, 0, 500, -66, 0, -332, -50, 0, -308, -174, 0, -354, 269, 0, 0, -74, 0, 224, -112, 0, 186, 0, 0, -296, -40, 0, -397, -464, 0, 998, -88, 0, 0, 148, 0, 0, -68, 0, -164, -290, 0, -106, 0, 0, -248, 24, 0, -16, 235, 0, 683, -1744, 0, 336, -42, 0, 0, -838, 0, 68, -224, 0, -167, 0, 0, -572, -152, 0, 442, 86, 0, -1422, 308, 0, -149, 6, 0, 0, 79, 0, 0, -40, 0, 92, 0, 0, 1016, 308, 0, -548, -162, 0, 263, -151, 0, 240, 463, 0, 0, 88, 0, -636, 156, 0, 26, 0, 0, 300, 52, 0, 146, -276, 0, 126, 7, 0, 273, -394, 0, 0, -602, 0, -615, -958, 0, -82, 0, 0, 283, -236, 0, -636, 40, 0, -1004, -120, 0, -308, -105, 0, 0, -468, 0, -486, -984, 0, -122, 0, 0, -1994, 224, 0, 256, -374, 0, 104, -188, 0, -839, -108, 0, 0, -296, 0, 128, -306, 0, -56, 0, 0, 56, 100, 0, 256, 476, 0, 452, -692, 0, 86, -225, 0, 0, -18, 0, 226, 172, 0, -24, 0, 0, -48, 214, 0, -480, 340, 0, -1524, 512, 0, 460, -12, 0, 0, -249, 0, -146, 444, 0, -276, 0, 0, -12, -224, 0, -562, 453, 0, 320, 672, 0, 388, 340, 0, 0, 908, 0, -164, -759, 0, -38, 0, 0, -314, 105, 0, -292, 16, 0, 154, -238, 0, 178, 72, 0, 0, 336, 0, 3, 830, 0, 224, 0, 0, -165, -186, 0, 250, -334, 0, 299, 576, 0, -340, 124, 0, 0, -12, 0, -428, 8, 0, 8, 0, 0, 1716, -36, 0, -62, 110, 0, -717, -340, 0, -286, -90, 0, 0, 102, 0, -292, 18, 0, -494, 0, 0, -526, 0, 0, -114, 83, 0, -138, -308, 0, 98, 86, 0, 0, 196, 0, -82, 515, 0, -80, 0, 0, 666, -278, 0, -124, -432, 0, 764, 614, 0, 191, -72, 0, 0, 202, 0, 266, 158, 0, 416, 0, 0, -69, 394, 0, 670, -172, 0, -6, -652, 0, 888, -60, 0, 0, 364, 0, 742, -674, 0, -176, 0, 0, 646, 136, 0, 328, -216, 0, -212, -88, 0, -660, 174, 0, 0, -550, 0, 32, 1246, 0, -126, 0, 0, 279, -58, 0, -116, -36, 0, 661, -290, 0, 460, 208, 0, 0, -1052, 0, -448, -336, 0, 136, 0, 0, 304, -220, 0, 136, 634, 0, 1000, -303, 0, -98, -548, 0, 0, -453, 0, -102, 164, 0, 468, 0, 0, -988, -544, 0, -40, -208, 0, -454, -672, 0, -218, 14, 0, 0, -24, 0, -204, 168, 0, -148, 0, 0, 1, 101, 0, 632, 444, 0, 1148, 378, 0, -420, 544, 0, 0, 448, 0, -65, 364, 0, 264, 0, 0, -612, -10, 0, 336, 165, 0, 363, 252, 0, 1054, -1, 0, 0, 306, 0, 224, 175, 0, -172, 0, 0, -625, -364, 0, 23, -518, 0, 836, -223, 0, -606, 250, 0, 0, -64, 0, 142, -440, 0, 74, 0, 0, 402, -320, 0, 280, 144, 0, -396, -408, 0, 796, -8, 0, 0, 441, 0, -42, -628, 0, -184, 0, 0, 860, -332, 0, -440, 142, 0, 248, -559, 0, 1112, -76, 0, 0, 331, 0, 25, 158, 0, 134, 0, 0, 608, 358, 0, 336, -192, 0, -148, 1024, 0, 1004, 16, 0, 0, -568, 0, 312, 1, 0, 338, 0, 0, 936, -282, 0, -566, -286, 0, -16, -232, 0, -156, -68, 0, 0, 530, 0, -248, 550, 0, 456, 0, 0, 944, -632, 0, 848, 192, 0, 864, 145, 0, 132, -135, 0, 0, 428, 0, 450, -842, 0, 56, 0, 0, 472, 224, 0, 80, -564, 0, -356, 336, 0, 264, 336, 0, 0, -576, 0, 216, -1298, 0, 66, 0, 0, -494, -146, 0, 44, 412, 0, -240, 1342, 0, -512, -155, 0, 0, -184, 0, 126, 104, 0, 16, 0, 0, -632, 128, 0, 557, 410, 0, 164, -920, 0, -302, -152, 0, 0, 207, 0, 99, 7, 0, 200, 0, 0, -90, 532, 0, -78, 152, 0, -732, 670, 0, 372, -166, 0, 0, 1128, 0, 102, 127, 0, 372, 0, 0, 804, 82, 0, -346, -368, 0, -452, -528, 0, 18, 384, 0, 0, -664, 0, -44, 1272, 0, -278, 0, 0, -128, -268, 0, 116, -274, 0, -152, 32, 0, 624, -380, 0, 0, 34, 0, -624, 76, 0, 256, 0, 0, -360, 139, 0, 40, 232, 0, 90, 325, 0, -656, 142, 0, 0, -276, 0, -93, -576, 0, 44, 0, 0, 224, 308, 0, 1104, 56, 0, 612, 1062, 0, -242, 64, 0, 0, -640, 0, -26, 236, 0, -600, 0, 0, 1178, 28, 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: 1229534
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4851.2.a.bh', 'source_level': 4851, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 11, 'target_is_minimal': True, 'target_label': '1617.2.a.k', 'target_level': 1617, 'twist_class_label': '1617.2.a.k', 'twist_class_level': 1617, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1229535
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4851.2.a.bh', 'source_level': 4851, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 12, 'target_is_minimal': True, 'target_label': '1617.2.a.l', 'target_level': 1617, 'twist_class_label': '1617.2.a.k', 'twist_class_level': 1617, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1229536
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4851.2.a.bh', 'source_level': 4851, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 33, 'target_is_minimal': False, 'target_label': '4851.2.a.bg', 'target_level': 4851, 'twist_class_label': '1617.2.a.k', 'twist_class_level': 1617, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1229537
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 34, 'source_is_minimal': False, 'source_label': '4851.2.a.bh', 'source_level': 4851, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 34, 'target_is_minimal': False, 'target_label': '4851.2.a.bh', 'target_level': 4851, 'twist_class_label': '1617.2.a.k', 'twist_class_level': 1617, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3715775
    {'charpoly_factorization': [[[1, -3, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 2}
  • id: 3715776
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 148618787736785651, 'p': 3}
  • id: 3715777
    {'charpoly_factorization': [[[-5, 0, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 5}
  • id: 3715778
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 148618787736785651, 'p': 7}
  • id: 3715779
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 148618787736785651, 'p': 11}
  • id: 3715780
    {'charpoly_factorization': [[[-19, 2, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 13}
  • id: 3715781
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 148618787736785651, 'p': 17}
  • id: 3715782
    {'charpoly_factorization': [[[-1, 4, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 19}
  • id: 3715783
    {'charpoly_factorization': [[[-16, 4, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 23}
  • id: 3715784
    {'charpoly_factorization': [[[59, -16, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 29}
  • id: 3715785
    {'charpoly_factorization': [[[-4, -8, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 31}
  • id: 3715786
    {'charpoly_factorization': [[[5, 10, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 37}
  • id: 3715787
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 148618787736785651, 'p': 41}
  • id: 3715788
    {'charpoly_factorization': [[[-4, -8, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 43}
  • id: 3715789
    {'charpoly_factorization': [[[29, 14, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 47}
  • id: 3715790
    {'charpoly_factorization': [[[-64, -8, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 53}
  • id: 3715791
    {'charpoly_factorization': [[[-71, -6, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 59}
  • id: 3715792
    {'charpoly_factorization': [[[-76, -4, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 61}
  • id: 3715793
    {'charpoly_factorization': [[[-9, 12, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 67}
  • id: 3715794
    {'charpoly_factorization': [[[-20, 0, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 71}
  • id: 3715795
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 148618787736785651, 'p': 73}
  • id: 3715796
    {'charpoly_factorization': [[[-16, -4, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 79}
  • id: 3715797
    {'charpoly_factorization': [[[44, 16, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 83}
  • id: 3715798
    {'charpoly_factorization': [[[-180, 0, 1], 1]], 'hecke_orbit_code': 148618787736785651, 'p': 89}
  • id: 3715799
    {'charpoly_factorization': [[[-76, -4, 1], 1]], 'hecke_orbit_code': 148618787736785651, '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': '4851.2.a.bh', 'level': 4851, '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: 268586000
    {'hecke_orbit_code': 148618787736785651, 'n': 1, 'trace_an': 2}
  • id: 268586001
    {'hecke_orbit_code': 148618787736785651, 'n': 2, 'trace_an': 3}
  • id: 268586002
    {'hecke_orbit_code': 148618787736785651, 'n': 3, 'trace_an': 0}
  • id: 268586003
    {'hecke_orbit_code': 148618787736785651, 'n': 4, 'trace_an': 3}
  • id: 268586004
    {'hecke_orbit_code': 148618787736785651, 'n': 5, 'trace_an': 0}
  • id: 268586005
    {'hecke_orbit_code': 148618787736785651, 'n': 6, 'trace_an': 0}
  • id: 268586006
    {'hecke_orbit_code': 148618787736785651, 'n': 7, 'trace_an': 0}
  • id: 268586007
    {'hecke_orbit_code': 148618787736785651, 'n': 8, 'trace_an': 6}
  • id: 268586008
    {'hecke_orbit_code': 148618787736785651, 'n': 9, 'trace_an': 0}
  • id: 268586009
    {'hecke_orbit_code': 148618787736785651, 'n': 10, 'trace_an': 5}
  • id: 268586010
    {'hecke_orbit_code': 148618787736785651, 'n': 11, 'trace_an': 2}
  • id: 268586011
    {'hecke_orbit_code': 148618787736785651, 'n': 12, 'trace_an': 0}
  • id: 268586012
    {'hecke_orbit_code': 148618787736785651, 'n': 13, 'trace_an': -2}
  • id: 268586013
    {'hecke_orbit_code': 148618787736785651, 'n': 14, 'trace_an': 0}
  • id: 268586014
    {'hecke_orbit_code': 148618787736785651, 'n': 15, 'trace_an': 0}
  • id: 268586015
    {'hecke_orbit_code': 148618787736785651, 'n': 16, 'trace_an': 13}
  • id: 268586016
    {'hecke_orbit_code': 148618787736785651, 'n': 17, 'trace_an': -12}
  • id: 268586017
    {'hecke_orbit_code': 148618787736785651, 'n': 18, 'trace_an': 0}
  • id: 268586018
    {'hecke_orbit_code': 148618787736785651, 'n': 19, 'trace_an': -4}
  • id: 268586019
    {'hecke_orbit_code': 148618787736785651, 'n': 20, 'trace_an': 15}
  • id: 268586020
    {'hecke_orbit_code': 148618787736785651, 'n': 21, 'trace_an': 0}
  • id: 268586021
    {'hecke_orbit_code': 148618787736785651, 'n': 22, 'trace_an': 3}
  • id: 268586022
    {'hecke_orbit_code': 148618787736785651, 'n': 23, 'trace_an': -4}
  • id: 268586023
    {'hecke_orbit_code': 148618787736785651, 'n': 24, 'trace_an': 0}
  • id: 268586024
    {'hecke_orbit_code': 148618787736785651, 'n': 25, 'trace_an': 0}
  • id: 268586025
    {'hecke_orbit_code': 148618787736785651, 'n': 26, 'trace_an': 7}
  • id: 268586026
    {'hecke_orbit_code': 148618787736785651, 'n': 27, 'trace_an': 0}
  • id: 268586027
    {'hecke_orbit_code': 148618787736785651, 'n': 28, 'trace_an': 0}
  • id: 268586028
    {'hecke_orbit_code': 148618787736785651, 'n': 29, 'trace_an': 16}
  • id: 268586029
    {'hecke_orbit_code': 148618787736785651, 'n': 30, 'trace_an': 0}
  • id: 268586030
    {'hecke_orbit_code': 148618787736785651, 'n': 31, 'trace_an': 8}
  • id: 268586031
    {'hecke_orbit_code': 148618787736785651, 'n': 32, 'trace_an': 15}
  • id: 268586032
    {'hecke_orbit_code': 148618787736785651, 'n': 33, 'trace_an': 0}
  • id: 268586033
    {'hecke_orbit_code': 148618787736785651, 'n': 34, 'trace_an': -18}
  • id: 268586034
    {'hecke_orbit_code': 148618787736785651, 'n': 35, 'trace_an': 0}
  • id: 268586035
    {'hecke_orbit_code': 148618787736785651, 'n': 36, 'trace_an': 0}
  • id: 268586036
    {'hecke_orbit_code': 148618787736785651, 'n': 37, 'trace_an': -10}
  • id: 268586037
    {'hecke_orbit_code': 148618787736785651, 'n': 38, 'trace_an': -11}
  • id: 268586038
    {'hecke_orbit_code': 148618787736785651, 'n': 39, 'trace_an': 0}
  • id: 268586039
    {'hecke_orbit_code': 148618787736785651, 'n': 40, 'trace_an': 20}
  • id: 268586040
    {'hecke_orbit_code': 148618787736785651, 'n': 41, 'trace_an': -12}
  • id: 268586041
    {'hecke_orbit_code': 148618787736785651, 'n': 42, 'trace_an': 0}
  • id: 268586042
    {'hecke_orbit_code': 148618787736785651, 'n': 43, 'trace_an': 8}
  • id: 268586043
    {'hecke_orbit_code': 148618787736785651, 'n': 44, 'trace_an': 3}
  • id: 268586044
    {'hecke_orbit_code': 148618787736785651, 'n': 45, 'trace_an': 0}
  • id: 268586045
    {'hecke_orbit_code': 148618787736785651, 'n': 46, 'trace_an': 4}
  • id: 268586046
    {'hecke_orbit_code': 148618787736785651, 'n': 47, 'trace_an': -14}
  • id: 268586047
    {'hecke_orbit_code': 148618787736785651, 'n': 48, 'trace_an': 0}
  • id: 268586048
    {'hecke_orbit_code': 148618787736785651, 'n': 49, 'trace_an': 0}
  • id: 268586049
    {'hecke_orbit_code': 148618787736785651, 'n': 50, 'trace_an': 0}
  • id: 268586050
    {'hecke_orbit_code': 148618787736785651, 'n': 51, 'trace_an': 0}
  • id: 268586051
    {'hecke_orbit_code': 148618787736785651, 'n': 52, 'trace_an': 27}
  • id: 268586052
    {'hecke_orbit_code': 148618787736785651, 'n': 53, 'trace_an': 8}
  • id: 268586053
    {'hecke_orbit_code': 148618787736785651, 'n': 54, 'trace_an': 0}
  • id: 268586054
    {'hecke_orbit_code': 148618787736785651, 'n': 55, 'trace_an': 0}
  • id: 268586055
    {'hecke_orbit_code': 148618787736785651, 'n': 56, 'trace_an': 0}
  • id: 268586056
    {'hecke_orbit_code': 148618787736785651, 'n': 57, 'trace_an': 0}
  • id: 268586057
    {'hecke_orbit_code': 148618787736785651, 'n': 58, 'trace_an': 29}
  • id: 268586058
    {'hecke_orbit_code': 148618787736785651, 'n': 59, 'trace_an': 6}
  • id: 268586059
    {'hecke_orbit_code': 148618787736785651, 'n': 60, 'trace_an': 0}
  • id: 268586060
    {'hecke_orbit_code': 148618787736785651, 'n': 61, 'trace_an': 4}
  • id: 268586061
    {'hecke_orbit_code': 148618787736785651, 'n': 62, 'trace_an': 22}
  • id: 268586062
    {'hecke_orbit_code': 148618787736785651, 'n': 63, 'trace_an': 0}
  • id: 268586063
    {'hecke_orbit_code': 148618787736785651, 'n': 64, 'trace_an': 4}
  • id: 268586064
    {'hecke_orbit_code': 148618787736785651, 'n': 65, 'trace_an': 20}
  • id: 268586065
    {'hecke_orbit_code': 148618787736785651, 'n': 66, 'trace_an': 0}
  • id: 268586066
    {'hecke_orbit_code': 148618787736785651, 'n': 67, 'trace_an': -12}
  • id: 268586067
    {'hecke_orbit_code': 148618787736785651, 'n': 68, 'trace_an': -18}
  • id: 268586068
    {'hecke_orbit_code': 148618787736785651, 'n': 69, 'trace_an': 0}
  • id: 268586069
    {'hecke_orbit_code': 148618787736785651, 'n': 70, 'trace_an': 0}
  • id: 268586070
    {'hecke_orbit_code': 148618787736785651, 'n': 71, 'trace_an': 0}
  • id: 268586071
    {'hecke_orbit_code': 148618787736785651, 'n': 72, 'trace_an': 0}
  • id: 268586072
    {'hecke_orbit_code': 148618787736785651, 'n': 73, 'trace_an': -2}
  • id: 268586073
    {'hecke_orbit_code': 148618787736785651, 'n': 74, 'trace_an': -5}
  • id: 268586074
    {'hecke_orbit_code': 148618787736785651, 'n': 75, 'trace_an': 0}
  • id: 268586075
    {'hecke_orbit_code': 148618787736785651, 'n': 76, 'trace_an': -21}
  • id: 268586076
    {'hecke_orbit_code': 148618787736785651, 'n': 77, 'trace_an': 0}
  • id: 268586077
    {'hecke_orbit_code': 148618787736785651, 'n': 78, 'trace_an': 0}
  • id: 268586078
    {'hecke_orbit_code': 148618787736785651, 'n': 79, 'trace_an': 4}
  • id: 268586079
    {'hecke_orbit_code': 148618787736785651, 'n': 80, 'trace_an': 15}
  • id: 268586080
    {'hecke_orbit_code': 148618787736785651, 'n': 81, 'trace_an': 0}
  • id: 268586081
    {'hecke_orbit_code': 148618787736785651, 'n': 82, 'trace_an': -18}
  • id: 268586082
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  • id: 268586083
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  • id: 268586085
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  • id: 268586086
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  • id: 268586087
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  • id: 268586088
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  • id: 268586089
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  • id: 268586090
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  • id: 268586091
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  • id: 268586092
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  • id: 268586093
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  • id: 268586094
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  • id: 268586095
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  • id: 268586096
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  • id: 268586097
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  • id: 268586098
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  • id: 268586100
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  • id: 268586101
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  • id: 268586102
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  • id: 268586103
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  • id: 268586104
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  • id: 268586105
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  • id: 268586108
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  • id: 268586109
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  • id: 268586114
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  • id: 268586117
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  • id: 268586118
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  • id: 268586123
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  • id: 268586124
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  • id: 268586125
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  • id: 268586126
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  • id: 268586127
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  • id: 268586128
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  • id: 268586129
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  • id: 268586135
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  • id: 268586136
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  • id: 268586138
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  • id: 268586147
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  • id: 268586154
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  • id: 268586156
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  • id: 268586157
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  • id: 268586159
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  • id: 268586160
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  • id: 268586161
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  • id: 268586167
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  • id: 268586168
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  • id: 268586169
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  • id: 268586171
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  • id: 268586172
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  • id: 268586175
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  • id: 268586177
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  • id: 268586178
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  • id: 268586179
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  • id: 268586180
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  • id: 268586181
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  • id: 268586183
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  • id: 268586184
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  • id: 268586185
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  • id: 268586186
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  • id: 268586187
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  • id: 268586188
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  • id: 268586189
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  • id: 268586190
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  • id: 268586191
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  • id: 268586192
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  • id: 268586193
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  • id: 268586194
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  • id: 268586195
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  • id: 268586196
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  • id: 268586198
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  • id: 268586205
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  • id: 268586207
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  • id: 268586208
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  • id: 268586217
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  • id: 268586219
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  • id: 268586220
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  • id: 268586223
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  • id: 268586224
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  • id: 268586225
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  • id: 268586228
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  • id: 268586229
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  • id: 268586231
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  • id: 268586232
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  • id: 268586234
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  • id: 268586235
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  • id: 268586467
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  • id: 268586468
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  • id: 268586469
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  • id: 268586470
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  • id: 268586471
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  • id: 268586472
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  • id: 268586473
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  • id: 268586474
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  • id: 268586475
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  • id: 268586476
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  • id: 268586477
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  • id: 268586478
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  • id: 268586479
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  • id: 268586480
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  • id: 268586481
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  • id: 268586482
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  • id: 268586483
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  • id: 268586484
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  • id: 268586485
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  • id: 268586486
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  • id: 268586487
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  • id: 268586488
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  • id: 268586489
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  • id: 268586490
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  • id: 268586491
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  • id: 268586492
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  • id: 268586493
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  • id: 268586494
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  • id: 268586495
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  • id: 268586496
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  • id: 268586497
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  • id: 268586498
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  • id: 268586499
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  • id: 268586500
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  • id: 268586501
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  • id: 268586502
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  • id: 268586503
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  • id: 268586504
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  • id: 268586505
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  • id: 268586506
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  • id: 268586507
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  • id: 268586508
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  • id: 268586509
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  • id: 268586510
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  • id: 268586511
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  • id: 268586512
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  • id: 268586513
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  • id: 268586514
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  • id: 268586515
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  • id: 268586516
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  • id: 268586517
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  • id: 268586518
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  • id: 268586519
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  • id: 268586520
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  • id: 268586521
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  • id: 268586522
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  • id: 268586523
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  • id: 268586524
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  • id: 268586525
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  • id: 268586526
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  • id: 268586527
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  • id: 268586528
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  • id: 268586529
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  • id: 268586530
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  • id: 268586531
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  • id: 268586532
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  • id: 268586533
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  • id: 268586534
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  • id: 268586535
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  • id: 268586536
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  • id: 268586537
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  • id: 268586538
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  • id: 268586539
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  • id: 268586540
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  • id: 268586541
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  • id: 268586542
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  • id: 268586543
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  • id: 268586544
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  • id: 268586545
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  • id: 268586546
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  • id: 268586547
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  • id: 268586548
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  • id: 268586549
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  • id: 268586550
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  • id: 268586551
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  • id: 268586552
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  • id: 268586553
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  • id: 268586554
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  • id: 268586555
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  • id: 268586556
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  • id: 268586557
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  • id: 268586558
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  • id: 268586559
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  • id: 268586560
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  • id: 268586561
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  • id: 268586562
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  • id: 268586563
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  • id: 268586564
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  • id: 268586565
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  • id: 268586566
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  • id: 268586567
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  • id: 268586568
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  • id: 268586569
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  • id: 268586570
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  • id: 268586571
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  • id: 268586572
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  • id: 268586573
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  • id: 268586574
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  • id: 268586575
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  • id: 268586576
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  • id: 268586577
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  • id: 268586578
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  • id: 268586579
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  • id: 268586580
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  • id: 268586581
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  • id: 268586582
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  • id: 268586583
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  • id: 268586584
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  • id: 268586585
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  • id: 268586586
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  • id: 268586587
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  • id: 268586588
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  • id: 268586589
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  • id: 268586590
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  • id: 268586591
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  • id: 268586592
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  • id: 268586593
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  • id: 268586594
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  • id: 268586595
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  • id: 268586596
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  • id: 268586597
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  • id: 268586598
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  • id: 268586599
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  • id: 268586600
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  • id: 268586601
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  • id: 268586602
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  • id: 268586603
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  • id: 268586604
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  • id: 268586605
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  • id: 268586606
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  • id: 268586607
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  • id: 268586608
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  • id: 268586609
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  • id: 268586610
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  • id: 268586611
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  • id: 268586612
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  • id: 268586613
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  • id: 268586614
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  • id: 268586615
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  • id: 268586616
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  • id: 268586617
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  • id: 268586618
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  • id: 268586619
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  • id: 268586620
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  • id: 268586621
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  • id: 268586622
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  • id: 268586623
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  • id: 268586624
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  • id: 268586625
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  • id: 268586626
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  • id: 268586627
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  • id: 268586628
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  • id: 268586629
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  • id: 268586630
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  • id: 268586631
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  • id: 268586632
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  • id: 268586633
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  • id: 268586634
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  • id: 268586635
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  • id: 268586636
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  • id: 268586637
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  • id: 268586638
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  • id: 268586639
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  • id: 268586640
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  • id: 268586641
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  • id: 268586642
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  • id: 268586643
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  • id: 268586644
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  • id: 268586645
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  • id: 268586646
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  • id: 268586647
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  • id: 268586648
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  • id: 268586649
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  • id: 268586650
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  • id: 268586651
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  • id: 268586652
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  • id: 268586653
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  • id: 268586654
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  • id: 268586655
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  • id: 268586656
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  • id: 268586657
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  • id: 268586658
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  • id: 268586659
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  • id: 268586660
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  • id: 268586661
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  • id: 268586663
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  • id: 268586664
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  • id: 268586665
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  • id: 268586666
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  • id: 268586667
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  • id: 268586668
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  • id: 268586669
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  • id: 268586670
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  • id: 268586671
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  • id: 268586672
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  • id: 268586673
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  • id: 268586674
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  • id: 268586678
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  • id: 268586679
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  • id: 268586681
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  • id: 268586682
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  • id: 268586688
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  • id: 268586689
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  • id: 268586690
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  • id: 268586691
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  • id: 268586693
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  • id: 268586696
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  • id: 268586697
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  • id: 268586700
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  • id: 268586702
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  • id: 268586703
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  • id: 268586705
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  • id: 268586708
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  • id: 268586709
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  • id: 268586710
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  • id: 268586712
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  • id: 268586713
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  • id: 268586714
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  • id: 268586715
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  • id: 268586716
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  • id: 268586717
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  • id: 268586718
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  • id: 268586719
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  • id: 268586720
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  • id: 268586721
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  • id: 268586722
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  • id: 268586723
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  • id: 268586725
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  • id: 268586726
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  • id: 268586727
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  • id: 268586728
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  • id: 268586729
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  • id: 268586730
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  • id: 268586731
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  • id: 268586732
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  • id: 268586733
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  • id: 268586734
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  • id: 268586735
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  • id: 268586736
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  • id: 268586737
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  • id: 268586738
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  • id: 268586739
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  • id: 268586740
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  • id: 268586742
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  • id: 268586743
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  • id: 268586744
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  • id: 268586745
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  • id: 268586746
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  • id: 268586747
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  • id: 268586748
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  • id: 268586751
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  • id: 268586754
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  • id: 268586755
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  • id: 268586756
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  • id: 268586757
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  • id: 268586758
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  • id: 268586759
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  • id: 268586760
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  • id: 268586761
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  • id: 268586762
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  • id: 268586763
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  • id: 268586764
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  • id: 268586765
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  • id: 268586766
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  • id: 268586767
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  • id: 268586768
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  • id: 268586770
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  • id: 268586771
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  • id: 268586772
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  • id: 268586773
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  • id: 268586777
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  • id: 268586778
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  • id: 268586780
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  • id: 268586781
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  • id: 268586782
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  • id: 268586783
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  • id: 268586784
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  • id: 268586785
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  • id: 268586786
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  • id: 268586787
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  • id: 268586788
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  • id: 268586789
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  • id: 268586790
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  • id: 268586791
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  • id: 268586792
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  • id: 268586793
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  • id: 268586794
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  • id: 268586795
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  • id: 268586796
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  • id: 268586797
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  • id: 268586798
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  • id: 268586799
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  • id: 268586800
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  • id: 268586802
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  • id: 268586805
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  • id: 268586806
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  • id: 268586807
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  • id: 268586808
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  • id: 268586810
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  • id: 268586812
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  • id: 268586813
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  • id: 268586815
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  • id: 268586816
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  • id: 268586817
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  • id: 268586818
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  • id: 268586819
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  • id: 268586820
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  • id: 268586821
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  • id: 268586822
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  • id: 268586823
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  • id: 268586825
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  • id: 268586826
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  • id: 268586827
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  • id: 268586828
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  • id: 268586829
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  • id: 268586830
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  • id: 268586831
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  • id: 268586832
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  • id: 268586833
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  • id: 268586834
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  • id: 268586835
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  • id: 268586836
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  • id: 268586837
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  • id: 268586838
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  • id: 268586839
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  • id: 268586840
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  • id: 268586841
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  • id: 268586842
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  • id: 268586843
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  • id: 268586844
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  • id: 268586845
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  • id: 268586982
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