Newform data - 6566.2.a.p

Formats: - HTML - YAML - JSON - 2024-06-03T11:04:33.474153

• 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': 26264, 'analytic_conductor': 52.4297739671727, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [7, -1], [67, -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': [6566, 1, [4021, 1275], [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, [-3, 1]], [5, [-3, 1]], [11, [4, 1]], [13, [-5, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444118438, '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': True, 'label': '6566.2.a.p', 'level': 6566, '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, 7, 67], 'level_radical': 938, 'minimal_twist': '6566.2.a.i', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}+3q^{3}+q^{4}+3q^{5}+3q^{6}+q^{8}+\\cdots', 'related_objects': ['EllipticCurve/Q/6566/p'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6566.2.a', 'trace_display': [1, 3, 3, 0], 'trace_hash': 1899700113336288491, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.965', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.015', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.912', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.086', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.763', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.012', 'prec': 17}, 'traces': [1, 1, 3, 1, 3, 3, 0, 1, 6, 3, -4, 3, 5, 0, 9, 1, -2, 6, 6, 3, 0, -4, -9, 3, 4, 5, 9, 0, -1, 9, -5, 1, -12, -2, 0, 6, -9, 6, 15, 3, 7, 0, 10, -4, 18, -9, 4, 3, 0, 4, -6, 5, -12, 9, -12, 0, 18, -1, 14, 9, 2, -5, 0, 1, 15, -12, 1, -2, -27, 0, -1, 6, 10, -9, 12, 6, 0, 15, -4, 3, 9, 7, -6, 0, -6, 10, -3, -4, 10, 18, 0, -9, -15, 4, 18, 3, 14, 0, -24, 4, -17, -6, -6, 5, 0, -12, -12, 9, -10, -12, -27, 0, -16, 18, -27, -1, 30, 14, 0, 9, 5, 2, 21, -5, -3, 0, 19, 1, 30, 15, 6, -12, 0, 1, 27, -2, -12, -27, -17, 0, 12, -1, -20, 6, -3, 10, 0, -9, -14, 12, 11, 6, -12, 0, -15, 15, 0, -4, -36, 3, 0, 9, -13, 7, -36, -6, 8, 0, 12, -6, 36, 10, -6, -3, 0, -4, 42, 10, 2, 18, -16, 0, 6, -9, -27, -15, 8, 4, 0, 18, 12, 3, 5, 14, 45, 0, -12, -24, 2, 4, 3, -17, 0, 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0, 6, 90, 72, -24, -45, 39, 0, 36, -36, -24, 40, 8, 12, 0, -30, 90, 20, -135, 72, 6, 0, -120, 24, 17, 6, 114, 2, 0, 11, -78, -75, 98, 15, -120, 0, -22, -51, 56, -26, -96, -8, 0, 0, 40, 6, -165, 45, 78, 0, -50, 108, -6, 6, 20, 108, 0, 20, -117, -22, -8, -12, 20, 0, 180, -25, -88, 63, 108, -8, 0, -54, 7, 63, 108, -56, 99, 0, 6, -72, -80, -15, 15, 90, 0, -18, -60, -5, -96, 14, -34, 0, -9, -15, -144, -20, 60, -81, 0, 64, -12, -13, 36, -54, -48, 0, -60, -10, 54, 15, 16, -19, 0, -29, 14, -102, 36, -15, 72, 0, 90, -72, 25, 39, -45, 0, 0, 90, 0, 18, 18, 68, -28, 0, -8, 70, -84, 30, -68, -69, 0, -4, 108, 108, -40, -21, 28, 0, 108, 3, 140, 36, -50, 57, 0, -35, 31, -36, 90, 6, 84, 0, 0, -24, 40, 4, 243, 24, 0, -6, -56, -36, 12, 3, -60, 0, -40, 12, 162, 7, -22, -36, 0, -84, 126, 4, 30, -120, -24, 0, -150, -42, 70, 90, -10, -20, 0, -12, -48, -48, 10, 47, -39, 0, -32, 9, 14, 62, -54, -56, 0, 6, 144, 20, -78, 61, -72, 0, -45, -44, 48, -13, -59, -18, 0, -34, 15, 0, 72, -30, -28, 0, 126, 18, -10, -162, 20, 7, 0, -85, 9, 60, -96, -12, 75, 0, 70, -42, 30, 9, -144, -3, 0, -36, -102, 26, -42, -1, 174, 0, -30, 20, -48, -48, -32, -30, 0, 67, 252, -6, -78, -60, -16, 0, 84, 24, 27, -54, 105, -50, 0, 9, 0, 90, -64, 8, 0, 0, -48, 66, 88, -30, 72, 3, 0, -84, -30, -8, 18, 8, 39, 0, -30, -60, -270, -38, 21, -63, 0, 4, 15, -6, -65, 36, -90, 0, 72, 12, 24, -84, 73, 3, 0, -3, 10, -48, 58, -126, -144, 0, -120, 66, 88, -6, -9, -46, 0, -12, -40, -4, -153, 20, -44, 0, -50, -38, -75, 38, 66, 36, 0, 44, 72, -36, -42, -21, -35, 0, 36, -58, 7, 21, -18, 12, 0, 10, -31, -18, -18, -60, -6, 0, -50, -81, -52, 40, -48, 36, 0, 96, 14, -6, -15, -30, 26, 0, 56, 60, -108, 6, 22, 0, 0, -51, -54, -60, -45, -3, -99, 0, 33, -14, -65, -90, 60, 20, 0, -76, 150, 30, 32, 56, -78, 0, 11, -18, -56, 2, 72, -18, 0, 45, 91, 54, 69, -54, -14, 0, -27, -4, -90, 32, -68, 36, 0, 12, 54, -18, -64, 0, 112, 0, -189, 42, -84, 42, 48, -50, 0, -19, -43, -120, -16, -3, 177, 0, 36, -24, 93, 16, 150, 10, 0, 72, 0, 45, 18, -27, 21, 0, -16, 71, 123, -60, 102, -108, 0, 2, 108, 24, 8, 72, 66, 0, 24, -15, -24, 36, 27, 48, 0, -66, 5, 18, 10, -24, -18, 0, -87, -135, 38, 17, -108, -39, 0, 24, 16, -2, 45, -16, 16, 0, 110, -4, -105, 30, -30, 15, 0, -46, -72, 31, -38, 126, -7, 0, 18, -20, 144, -27, -74, -45, 0, 30, -171, 78, 36, -20, 120, 0, 12, 6, 17, -72, 75, 41, 0, -78, -3, 1, -120, -80, 31, 0, 12, -69, -90, -9, -90, 108, 0, -4, 144, 56, -20, 42, 49, 0, -108, -20, -78, 6, 80, -27, 0, 44, 16, 90, 90, 40, -270, 0, 87, -108, -22, 21, 72, -24, 0, -15, 35, 6, 120, -42, 4, 0, 0, -26, 18, -63, 6, -36, 0, -135, -132, 8, 70, 54, -108, 0, -81, 39, -21, -9], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1], [1], [3], [1], [3], [3], [0], [1], [6], [3], [-4], [3], [5], [0], [9], [1], [-2], [6], [6], [3], [0], [-4], [-9], [3], [4], [5], [9], [0], [-1], [9], [-5], [1], [-12], [-2], [0], [6], [-9], [6], [15], [3], [7], [0], [10], [-4], [18], [-9], [4], [3], [0], [4], [-6], [5], [-12], [9], [-12], [0], [18], [-1], [14], [9], [2], [-5], [0], [1], [15], [-12], [1], [-2], [-27], [0], [-1], [6], [10], [-9], [12], [6], [0], [15], [-4], [3], [9], [7], [-6], [0], [-6], [10], [-3], [-4], [10], [18], [0], [-9], [-15], [4], [18], [3], [14], [0], [-24], [4]], 'ap': [[1], [3], [3], [0], [-4], [5], [-2], [6], [-9], [-1], [-5], [-9], [7], [10], [4], [-12], [14], [2], [1], [-1], [10], [-4], [-6], [10], [14], [-17], [-6], [-12], [-10], [-16], [19], [6], [-12], [-17], [-14], [11], [0], [-13], [8], [-6], [2], [-16], [12], [5], [-12], [2], [-7], [22], [-4], [7], [10], [24], [8], [13], [-28], [-4], [-20], [-1], [-10], [18], [14], [-24], [-8], [-13], [-15], [3], [20], [4], [6], [20], [-18], [-15], [1], [-26], [8], [-3], [-6], [8], [24], [21], [30], [-23], [-16], [2], [-14], [-20], [-21], [-7], [32], [0], [-6], [12], [26], [36], [18], [0], [30], [-15], [24], [8], [22], [-33], [-9], [31], [7], [-29], [-1], [30], [-36], [20], [-8], [-25], [-15], [14], [30], [12], [4], [47], [-34], [9], [-1], [-38], [3], [-38], [36], [2], [-19], [48], [31], [41], [-20], [21], [48], [-32], [-6], [-34], [24], [-12], [-8], [-32], [-55], [33], [5], [-48], [-4], [6], [4], [42], [-50], [-13], [25], [-14], [-16], [28], [-3], [-25], [-2], [11], [23], [18], [59], [41], [-35], [6], [25], [48], [24], [-44], [-2], [26], [-53], [4], [-61], [6], [4], [22], [50], [50], [13], [-8], [-53], [-42], [31], [24], [24], [-10], [24], [-61], [34], [31], [62], [-59], [-14], [57], [-14], [30], [-30], [-26], [45], [-22], [-54], [-56], [-5], [-19], [68], [24], [-36], [7], [-42], [-20], [62], [61], [-44], [0], [-3], [26], [67], [-46], [38], [-58], [40], [56], [32], [16], [-27], [71], [24], [-66], [-2], [30], [-46], [-45], [-69], [44], [40], [-24], [6], [-63], [39], [2], [24], [-76], [-11], [72], [-47], [-5], [28], [-9], [30], [-36], [-34], [-28], [-62], [40], [-9], [-42], [0], [-50], [-6], [-64], [7], [45], [11], [19], [58], [-4], [18], [50], [-26], [40], [-78], [-16], [83], [17], [-12], [23], [56], [-31], [27], [-23], [-2], [1], [-27], [53], [28], [9], [53], [-31], [24], [-46], [-83], [19], [-39], [-16], [18], [46], [35], [-21], [78], [43], [6], [87], [59], [15], [-64], [-32], [-29], [2], [0], [-46], [-65], [14], [-9], [81], [36], [25], [-68], [-12], [-58], [-54], [-2], [-10], [70], [-66], [71], [-22], [-36], [14], [-12], [30], [-1], [-78], [53], [-12], [52], [66], [32], [-40], [42], [54], [-43], [-50], [-59], [5], [2], [22], [25], [20], [-54], [42], [-56], [-36], [33], [61], [90], [39], [8], [17], [-78], [-22], [-50], [20], [-8], [7], [-80], [-60], [-34], [36], [-8], [-40], [-50], [31], [0], [40], [-56], [70], [-32], [14], [-59], [-28], [-10], [70], [-30], [-78], [-16], [27], [-64], [88], [-30], [39], [-30], [21], [-65], [73], [10], [58], [88], [-44], [-50], [-42], [-18], [-31], [14], [22], [-65], [60], [32], [11], [-56], [-68], [48], [-43], [36], [0], [-16], [102], [5], [38], [16], [-30], [-38], [-74], [12], [31], [49], [-78], [16], [87], [-22], [-21]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 67553994444118438, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '6566.2.a.p', 'level': 6566, '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': [21, 33, 34, 25, 35, 19, 23, 35], 'Nk2': 26264, 'analytic_conductor': 52.4297739671727, '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': [6566, 1, [4021, 1275], [1, 1]], 'conrey_index': 1, 'cusp_dim': 937, 'dim': 225, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 11, 13], 'hecke_orbit_code': 33560998, 'hecke_orbit_dims': [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, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6, 7, 8, 10, 11, 11, 11, 11, 11, 11, 22, 24], 'label': '6566.2.a', 'level': 6566, '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, 7, 67], 'level_radical': 938, 'mf_dim': 968, 'mf_new_dim': 225, 'num_forms': 48, 'plus_dim': 88, 'prim_orbit_index': 1, 'relative_dim': 225, 'sturm_bound': 1904, 'trace_bound': 11, 'trace_display': [-1, 0, 2, 0], 'traces': [225, -1, 0, 225, 2, 2, 0, -1, 231, 0, 16, 0, -6, 0, 32, 225, 16, 11, 4, 2, 0, 10, 26, 2, 241, 8, 24, 0, -10, 16, -8, -1, 16, -2, 0, 231, -2, -20, 16, 0, -14, 0, 16, 16, 14, 8, -18, 0, 0, -31, 16, -6, -18, -4, 32, 0, 36, -18, 0, 32, -18, 16, 0, 225, -40, 8, -1, 16, -8, 0, 38, 11, -8, -42, 28, 4, 0, 28, 44, 2, 233, 2, -4, 0, 16, 6, 44, 10, 44, 4, 0, 26, 52, 12, 24, 2, 14, 0, 164, 241, -2, -8, -6, 8, 0, -12, 56, 24, 26, -20, 8, 0, 82, 16, 56, -10, 34, -12, 0, 16, 263, -32, 68, -8, 36, 0, 78, -1, -16, -36, 68, 16, 0, -7, 134, -2, 26, 62, 36, 0, 76, 28, -14, 231, 16, -26, 0, -2, 10, -76, 66, -20, 16, 0, 68, 16, 22, 16, -14, 0, 0, 31, 0, -14, -44, 20, -18, 0, 249, -62, -44, 16, 34, -20, 0, 16, 132, 38, 8, 14, 14, 0, 50, 8, -32, -12, 88, -18, 0, 124, 28, 0, 124, -22, 20, 0, 26, 68, 14, -31, 6, 4, 0, 16, 112, 0, 22, -6, -12, 0, 156, -18, -88, 8, 18, -4, 0, -40, 8, 32, 48, 36, 82, 0, 367, 58, 16, 36, 10, 0, 0, -18, -154, -22, -16, 0, -64, 0, -40, 32, -4, 35, 152, -18, 0, 96, 60, 16, 152, 72, 32, 0, 52, 12, -42, 225, -28, 112, 0, -40, 34, -36, -34, 8, 56, 0, 60, -1, 42, 96, -12, 16, 0, 18, -24, -8, -22, 24, 44, 0, 134, 92, -36, 38, 132, 44, 0, 11, 165, -48, 116, -8, 10, 0, 76, -42, 56, -90, 96, 28, 0, 116, -42, 4, -16, 38, -28, 0, 264, -96, 20, 28, -46, 6, 0, 44, 10, 60, -4, 2, -56, 0, -180, 233, -30, 16, -80, 2, 0, -110, 80, -4, 54, 44, 0, 0, 86, 49, -4, 16, -16, 32, 0, 6, 32, 10, 128, 44, -126, 0, 204, 10, 10, 24, -140, 44, 0, -102, -8, 4, 253, -42, -40, 0, 0, 164, -104, 26, -86, -92, 0, 52, -22, 76, 256, 12, 8, 0, 16, 24, -144, 4, 56, 2, 0, 46, 112, 14, -54, 150, 16, 0, 8, -172, -196, 164, -26, -36, 0, 241, 234, 8, 64, -2, 90, 0, 88, -8, 74, 32, 92, -6, 0, 36, -48, 8, 0, 0, 120, 0, -74, 124, -88, -12, 16, 72, 0, 56, -72, 16, -134, 24, -170, 0, -48, 26, 72, -68, -102, -20, 0, -132, -96, 8, -44, 36, -56, 0, -280, -51, 44, 82, -84, 0, 0, 16, -132, -102, -44, 56, 106, 0, -16, -10, -140, -114, 180, 34, 0, 60, -220, -12, -152, 32, -76, 0, 130, 72, -142, 16, -84, -106, 0, 263, -344, 50, 20, -32, -60, 0, 84, 68, -24, -88, 94, -8, 0, -136, -160, 36, -156, -14, -60, 0, -248, -132, -96, 78, -62, -4, 0, -1, 156, -74, -16, -16, 8, 0, -196, -36, -110, -54, -8, 68, 0, 24, 72, 16, 427, -196, 20, 0, -88, 74, 168, -7, 174, -78, 0, 134, 74, -44, 32, -2, 178, 0, 40, 26, -150, -30, 208, 62, 0, -90, 240, 36, -42, 96, -180, 0, 6, -30, -128, 76, -136, -16, 0, 28, 60, -140, -64, -14, 208, 0, 48, 231, -138, -107, 20, 16, 0, 152, -12, -26, -426, -90, -136, 0, 56, -84, 264, -2, -2, -48, 0, 10, 72, -44, 260, -76, -20, 0, -5, 66, 94, 12, 74, -20, 0, -188, -228, 16, 98, -20, 52, 0, 58, -170, -36, 68, 120, 88, 0, 16, 313, 50, 268, 22, -52, 0, 28, 16, -140, -202, 116, -14, 0, -4, 158, 0, 262, -20, 44, 0, 160, 240, 140, 31, 8, -124, 0, 0, -102, 32, -204, -14, 58, 0, 96, -44, 22, 150, -118, 20, 0, -106, 92, -18, -296, 6, -212, 0, 226, -78, 124, 249, 58, -44, 0, -62, 196, 100, 160, -44, -228, 0, -340, 16, 96, -184, 84, 34, 0, -34, -400, -20, -136, 70, 72, 0, 18, -216, -112, 16, 206, 58, 0, 132, 302, 90, 48, 38, -212, 0, 100, 8, -60, 120, -26, 14, 0, -141, -416, 14, -426, 118, 40, 0, 39, -188, 60, 50, -86, 8, 0, 8, -10, 22, -32, -32, -148, 0, -182, -12, -132, -212, -60, 88, 0, 36, 430, -18, -136, -48, 48, 0, 170, -50, -122, 124, -70, -128, 0, 28, -180, 152, 0, 0, 14, 0, -32, 124, 126, 106, -84, -22, 0, -162, -264, 20, 420, 48, 72, 0, -208, 4, -8, 26, 168, 0, 0, 68, 144, -222, -256, 14, 86, 0, 160, -31, 292, 2, 52, 6, 0, 180, -220, 4, -62, 146, 8, 0, -456, 128, 424, 16, -48, -138, 0, 112, 10, 176, -42, 0, 222, 0, 44, 22, -98, -356, 256, -6, 0, -16, 544, -12, -128, -52, -154, 0, 271, -170, -80, 156, -126, -200, 0, -18, -64, -62, 92, -88, 18, 0, -704, 8, 58, -296, 76, 18, 0, 116, -88, -4, 440, 126, -60, 0, 28, 16, 0, -40, -22, -60, 0, 8, 222, 112, -276, 32, -28, 0, -120, 48, 200, 102, -138, 36, 0, -192, 316, 82, -24, -292, 152, 0, -186, 110, 208, 367, 84, 0, 0, 58, -328, 228, 356, 16, 306, 0, -246, 36, 128, -186, -264, 10, 0, -14, 160, 0, 112, -26, 192, 0, 158, 12, -314, -18, -90, 164, 0, -154, -684, 20, -568, -22, -98, 0, 164, -16, -102, -328, -72, 0, 0, 168, 36, -64, 332, -24, -60, 0, 100, -408, 272, -40, -384, -92, 0, 32, 593, -12, -88, -4, -236, 0, -26, 35, -180, -240, 16, 152, 0, -116, -522, -18, -310, -128, -136, 0, -306, 120, -172, 96, 72, 0, 0, 60, 152, -324, 140, 16, 8, 0, -100, 152, -2, 162, -100, 72], '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: 1310123
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 16, 'source_is_minimal': True, 'source_label': '6566.2.a.p', 'source_level': 6566, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '6566.2.a.i', 'target_level': 6566, 'twist_class_label': '6566.2.a.i', 'twist_class_level': 6566, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1310124
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 16, 'source_is_minimal': True, 'source_label': '6566.2.a.p', 'source_level': 6566, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': True, 'target_label': '6566.2.a.p', 'target_level': 6566, 'twist_class_label': '6566.2.a.i', 'twist_class_level': 6566, '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: 4224450
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 2}
  • id: 4224451
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 3}
  • id: 4224452
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 5}
  • id: 4224453
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 7}
  • id: 4224454
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 11}
  • id: 4224455
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 13}
  • id: 4224456
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 17}
  • id: 4224457
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 19}
  • id: 4224458
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 23}
  • id: 4224459
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 29}
  • id: 4224460
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 31}
  • id: 4224461
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 37}
  • id: 4224462
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 41}
  • id: 4224463
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 43}
  • id: 4224464
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 47}
  • id: 4224465
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 53}
  • id: 4224466
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 59}
  • id: 4224467
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 61}
  • id: 4224468
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 67}
  • id: 4224469
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 71}
  • id: 4224470
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 73}
  • id: 4224471
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 79}
  • id: 4224472
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 83}
  • id: 4224473
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 67553994444118438, 'p': 89}
  • id: 4224474
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 67553994444118438, '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': 16, 'label': '6566.2.a.p', 'level': 6566, '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: 60754075
    {'hecke_orbit_code': 67553994444118438, 'n': 1, 'trace_an': 1}
  • id: 60754076
    {'hecke_orbit_code': 67553994444118438, 'n': 2, 'trace_an': 1}
  • id: 60754077
    {'hecke_orbit_code': 67553994444118438, 'n': 3, 'trace_an': 3}
  • id: 60754078
    {'hecke_orbit_code': 67553994444118438, 'n': 4, 'trace_an': 1}
  • id: 60754079
    {'hecke_orbit_code': 67553994444118438, 'n': 5, 'trace_an': 3}
  • id: 60754080
    {'hecke_orbit_code': 67553994444118438, 'n': 6, 'trace_an': 3}
  • id: 60754081
    {'hecke_orbit_code': 67553994444118438, 'n': 7, 'trace_an': 0}
  • id: 60754082
    {'hecke_orbit_code': 67553994444118438, 'n': 8, 'trace_an': 1}
  • id: 60754083
    {'hecke_orbit_code': 67553994444118438, 'n': 9, 'trace_an': 6}
  • id: 60754084
    {'hecke_orbit_code': 67553994444118438, 'n': 10, 'trace_an': 3}
  • id: 60754085
    {'hecke_orbit_code': 67553994444118438, 'n': 11, 'trace_an': -4}
  • id: 60754086
    {'hecke_orbit_code': 67553994444118438, 'n': 12, 'trace_an': 3}
  • id: 60754087
    {'hecke_orbit_code': 67553994444118438, 'n': 13, 'trace_an': 5}
  • id: 60754088
    {'hecke_orbit_code': 67553994444118438, 'n': 14, 'trace_an': 0}
  • id: 60754089
    {'hecke_orbit_code': 67553994444118438, 'n': 15, 'trace_an': 9}
  • id: 60754090
    {'hecke_orbit_code': 67553994444118438, 'n': 16, 'trace_an': 1}
  • id: 60754091
    {'hecke_orbit_code': 67553994444118438, 'n': 17, 'trace_an': -2}
  • id: 60754092
    {'hecke_orbit_code': 67553994444118438, 'n': 18, 'trace_an': 6}
  • id: 60754093
    {'hecke_orbit_code': 67553994444118438, 'n': 19, 'trace_an': 6}
  • id: 60754094
    {'hecke_orbit_code': 67553994444118438, 'n': 20, 'trace_an': 3}
  • id: 60754095
    {'hecke_orbit_code': 67553994444118438, 'n': 21, 'trace_an': 0}
  • id: 60754096
    {'hecke_orbit_code': 67553994444118438, 'n': 22, 'trace_an': -4}
  • id: 60754097
    {'hecke_orbit_code': 67553994444118438, 'n': 23, 'trace_an': -9}
  • id: 60754098
    {'hecke_orbit_code': 67553994444118438, 'n': 24, 'trace_an': 3}
  • id: 60754099
    {'hecke_orbit_code': 67553994444118438, 'n': 25, 'trace_an': 4}
  • id: 60754100
    {'hecke_orbit_code': 67553994444118438, 'n': 26, 'trace_an': 5}
  • id: 60754101
    {'hecke_orbit_code': 67553994444118438, 'n': 27, 'trace_an': 9}
  • id: 60754102
    {'hecke_orbit_code': 67553994444118438, 'n': 28, 'trace_an': 0}
  • id: 60754103
    {'hecke_orbit_code': 67553994444118438, 'n': 29, 'trace_an': -1}
  • id: 60754104
    {'hecke_orbit_code': 67553994444118438, 'n': 30, 'trace_an': 9}
  • id: 60754105
    {'hecke_orbit_code': 67553994444118438, 'n': 31, 'trace_an': -5}
  • id: 60754106
    {'hecke_orbit_code': 67553994444118438, 'n': 32, 'trace_an': 1}
  • id: 60754107
    {'hecke_orbit_code': 67553994444118438, 'n': 33, 'trace_an': -12}
  • id: 60754108
    {'hecke_orbit_code': 67553994444118438, 'n': 34, 'trace_an': -2}
  • id: 60754109
    {'hecke_orbit_code': 67553994444118438, 'n': 35, 'trace_an': 0}
  • id: 60754110
    {'hecke_orbit_code': 67553994444118438, 'n': 36, 'trace_an': 6}
  • id: 60754111
    {'hecke_orbit_code': 67553994444118438, 'n': 37, 'trace_an': -9}
  • id: 60754112
    {'hecke_orbit_code': 67553994444118438, 'n': 38, 'trace_an': 6}
  • id: 60754113
    {'hecke_orbit_code': 67553994444118438, 'n': 39, 'trace_an': 15}
  • id: 60754114
    {'hecke_orbit_code': 67553994444118438, 'n': 40, 'trace_an': 3}
  • id: 60754115
    {'hecke_orbit_code': 67553994444118438, 'n': 41, 'trace_an': 7}
  • id: 60754116
    {'hecke_orbit_code': 67553994444118438, 'n': 42, 'trace_an': 0}
  • id: 60754117
    {'hecke_orbit_code': 67553994444118438, 'n': 43, 'trace_an': 10}
  • id: 60754118
    {'hecke_orbit_code': 67553994444118438, 'n': 44, 'trace_an': -4}
  • id: 60754119
    {'hecke_orbit_code': 67553994444118438, 'n': 45, 'trace_an': 18}
  • id: 60754120
    {'hecke_orbit_code': 67553994444118438, 'n': 46, 'trace_an': -9}
  • id: 60754121
    {'hecke_orbit_code': 67553994444118438, 'n': 47, 'trace_an': 4}
  • id: 60754122
    {'hecke_orbit_code': 67553994444118438, 'n': 48, 'trace_an': 3}
  • id: 60754123
    {'hecke_orbit_code': 67553994444118438, 'n': 49, 'trace_an': 0}
  • id: 60754124
    {'hecke_orbit_code': 67553994444118438, 'n': 50, 'trace_an': 4}
  • id: 60754125
    {'hecke_orbit_code': 67553994444118438, 'n': 51, 'trace_an': -6}
  • id: 60754126
    {'hecke_orbit_code': 67553994444118438, 'n': 52, 'trace_an': 5}
  • id: 60754127
    {'hecke_orbit_code': 67553994444118438, 'n': 53, 'trace_an': -12}
  • id: 60754128
    {'hecke_orbit_code': 67553994444118438, 'n': 54, 'trace_an': 9}
  • id: 60754129
    {'hecke_orbit_code': 67553994444118438, 'n': 55, 'trace_an': -12}
  • id: 60754130
    {'hecke_orbit_code': 67553994444118438, 'n': 56, 'trace_an': 0}
  • id: 60754131
    {'hecke_orbit_code': 67553994444118438, 'n': 57, 'trace_an': 18}
  • id: 60754132
    {'hecke_orbit_code': 67553994444118438, 'n': 58, 'trace_an': -1}
  • id: 60754133
    {'hecke_orbit_code': 67553994444118438, 'n': 59, 'trace_an': 14}
  • id: 60754134
    {'hecke_orbit_code': 67553994444118438, 'n': 60, 'trace_an': 9}
  • id: 60754135
    {'hecke_orbit_code': 67553994444118438, 'n': 61, 'trace_an': 2}
  • id: 60754136
    {'hecke_orbit_code': 67553994444118438, 'n': 62, 'trace_an': -5}
  • id: 60754137
    {'hecke_orbit_code': 67553994444118438, 'n': 63, 'trace_an': 0}
  • id: 60754138
    {'hecke_orbit_code': 67553994444118438, 'n': 64, 'trace_an': 1}
  • id: 60754139
    {'hecke_orbit_code': 67553994444118438, 'n': 65, 'trace_an': 15}
  • id: 60754140
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  • id: 60754143
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  • id: 60754144
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  • id: 60754145
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  • id: 60754147
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  • id: 60754148
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  • id: 60754149
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  • id: 60754150
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  • id: 60754151
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  • id: 60754152
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  • id: 60754153
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  • id: 60754154
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  • id: 60754155
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  • id: 60754156
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  • id: 60754160
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  • id: 60754161
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  • id: 60754162
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  • id: 60754163
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  • id: 60754164
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  • id: 60754166
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  • id: 60754168
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  • id: 60754169
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  • id: 60754175
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  • id: 60754180
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  • id: 60754181
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  • id: 60754182
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  • id: 60754183
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  • id: 60754187
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  • id: 60754188
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  • id: 60754194
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  • id: 60754196
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  • id: 60754201
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  • id: 60754202
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  • id: 60754203
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  • id: 60754205
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  • id: 60754208
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  • id: 60754211
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  • id: 60754212
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  • id: 60754213
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  • id: 60754214
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  • id: 60754215
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  • id: 60754216
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  • id: 60754217
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  • id: 60754218
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  • id: 60754219
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  • id: 60754220
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  • id: 60754222
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  • id: 60754226
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  • id: 60754228
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  • id: 60754230
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  • id: 60754231
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  • id: 60754233
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  • id: 60754234
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  • id: 60754235
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  • id: 60754236
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  • id: 60754237
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  • id: 60754238
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  • id: 60754239
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  • id: 60754240
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  • id: 60754241
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  • id: 60754242
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  • id: 60754243
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  • id: 60754244
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  • id: 60754245
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  • id: 60754246
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  • id: 60754247
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  • id: 60754248
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  • id: 60754249
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  • id: 60754250
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  • id: 60754251
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  • id: 60754252
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  • id: 60754253
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  • id: 60754254
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  • id: 60754255
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  • id: 60754256
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  • id: 60754258
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  • id: 60754259
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  • id: 60754260
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  • id: 60754261
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  • id: 60754262
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  • id: 60754263
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  • id: 60754264
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  • id: 60754265
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  • id: 60754266
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  • id: 60754267
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  • id: 60754268
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  • id: 60754269
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  • id: 60754270
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  • id: 60754271
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  • id: 60754272
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  • id: 60754273
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  • id: 60754274
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  • id: 60754275
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  • id: 60754276
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  • id: 60754277
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  • id: 60754278
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  • id: 60754279
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  • id: 60754280
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  • id: 60754281
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  • id: 60754283
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  • id: 60754284
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  • id: 60754285
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  • id: 60754286
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  • id: 60754287
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  • id: 60754288
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  • id: 60754289
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  • id: 60754290
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  • id: 60754291
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  • id: 60754292
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  • id: 60754293
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  • id: 60754295
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  • id: 60754296
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  • id: 60754299
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  • id: 60754300
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  • id: 60754302
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  • id: 60754312
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  • id: 60754315
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  • id: 60754319
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  • id: 60754321
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  • id: 60754325
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  • id: 60754330
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  • id: 60754332
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