Newform data - 4176.2.a.bk

Formats: - HTML - YAML - JSON - 2025-10-08T03:58:46.247081

• 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': 16704, 'analytic_conductor': 33.345527884086685, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [29, -1]], 'atkin_lehner_string': '---', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [4176, 1, [1567, 1045, 929, 4033], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-4, 1]], [7, [-3, 1]], [11, [1, 1]], [17, [-5, 1]]], 'hecke_orbit': 37, 'hecke_orbit_code': 162129586618896464, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '4176.2.a.bk', 'level': 4176, '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, 3, 29], 'level_radical': 174, 'minimal_twist': '348.2.a.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+4q^{5}+3q^{7}-q^{11}-3q^{13}+5q^{17}+\\cdots', 'related_objects': ['EllipticCurve/Q/4176/bk'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4176.2.a', 'trace_display': [0, 0, 4, 3], 'trace_hash': 873514403194608129, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.023', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.992', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.052', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.968', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.113', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.906', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.011', 'prec': 17}, 'traces': [1, 0, 0, 0, 4, 0, 3, 0, 0, 0, -1, 0, -3, 0, 0, 0, 5, 0, -4, 0, 0, 0, -6, 0, 11, 0, 0, 0, 1, 0, -2, 0, 0, 0, 12, 0, 6, 0, 0, 0, -6, 0, 12, 0, 0, 0, 7, 0, 2, 0, 0, 0, 12, 0, -4, 0, 0, 0, -10, 0, 10, 0, 0, 0, -12, 0, 13, 0, 0, 0, -2, 0, 14, 0, 0, 0, -3, 0, 8, 0, 0, 0, 6, 0, 20, 0, 0, 0, -5, 0, -9, 0, 0, 0, -16, 0, 0, 0, 0, 0, -3, 0, 8, 0, 0, 0, -8, 0, -5, 0, 0, 0, -15, 0, -24, 0, 0, 0, 15, 0, -10, 0, 0, 0, 24, 0, -6, 0, 0, 0, -9, 0, -12, 0, 0, 0, 10, 0, 11, 0, 0, 0, 3, 0, 4, 0, 0, 0, 12, 0, -4, 0, 0, 0, -8, 0, -10, 0, 0, 0, -18, 0, 14, 0, 0, 0, 16, 0, -4, 0, 0, 0, -12, 0, 33, 0, 0, 0, -18, 0, -11, 0, 0, 0, 24, 0, -5, 0, 0, 0, 0, 0, -22, 0, 0, 0, -12, 0, -15, 0, 0, 0, 3, 0, -24, 0, 0, 0, 4, 0, -22, 0, 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0, 0, 0, -165, 0, -20, 0, 0, 0, -48, 0, 21, 0, 0, 0, -6, 0, 80, 0, 0, 0, 14, 0, 44, 0, 0, 0, -18, 0, -8, 0, 0, 0, -112, 0, 8, 0, 0, 0, 41, 0, 6, 0, 0, 0, 70, 0, 16, 0, 0, 0, -20, 0, -144, 0, 0, 0, -9, 0, 156, 0, 0, 0, 112, 0, -19, 0, 0, 0, -20, 0, 8, 0, 0, 0, -17, 0, -63, 0, 0, 0, -8, 0, 72, 0, 0, 0, -34, 0, 12, 0, 0, 0, -48, 0, -102, 0, 0, 0, 36, 0, 48, 0, 0, 0, -48, 0, -3, 0, 0, 0, 72, 0, -168, 0, 0, 0, 20, 0, -60, 0, 0, 0, 32, 0, 90, 0, 0, 0, -6, 0, 47, 0, 0, 0, 32, 0, 7, 0, 0, 0, -6, 0, 32, 0, 0, 0, 1, 0, -43, 0, 0, 0, 165, 0, -60, 0, 0, 0, 2, 0, 40, 0, 0, 0, 8, 0, 20, 0, 0, 0, -84, 0, -84, 0, 0, 0, -96, 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], [0], [0], [4], [0], [3], [0], [0], [0], [-1], [0], [-3], [0], [0], [0], [5], [0], [-4], [0], [0], [0], [-6], [0], [11], [0], [0], [0], [1], [0], [-2], [0], [0], [0], [12], [0], [6], [0], [0], [0], [-6], [0], [12], [0], [0], [0], [7], [0], [2], [0], [0], [0], [12], [0], [-4], [0], [0], [0], [-10], [0], [10], [0], [0], [0], [-12], [0], [13], [0], [0], [0], [-2], [0], [14], [0], [0], [0], [-3], [0], [8], [0], [0], [0], [6], [0], [20], [0], [0], [0], [-5], [0], [-9], [0], [0], [0], [-16], [0], [0], [0], [0], [0]], 'ap': [[0], [0], [4], [3], [-1], [-3], [5], [-4], [-6], [1], [-2], [6], [-6], [12], [7], [12], [-10], [10], [13], [-2], [14], [8], [6], [-5], [0], [-3], [8], [-8], [-5], [-15], [-6], [-9], [10], [11], [12], [-4], [-10], [14], [16], [-12], [-18], [-11], [0], [-22], [-12], [-15], [-22], [21], [2], [20], [-30], [-8], [-25], [11], [20], [-8], [-7], [-2], [-17], [-6], [20], [-9], [14], [-21], [29], [3], [-24], [28], [22], [-14], [-36], [24], [-20], [2], [24], [-16], [31], [-22], [-16], [2], [24], [30], [0], [-28], [13], [9], [-15], [17], [-14], [-11], [-20], [-24], [-32], [-4], [11], [-5], [-22], [-4], [27], [12], [-13], [14], [-19], [11], [-28], [28], [-42], [8], [-21], [28], [2], [-35], [22], [-8], [-35], [-21], [37], [-34], [31], [13], [-3], [-31], [-43], [36], [-27], [-42], [-34], [-8], [10], [28], [-22], [-13], [-16], [8], [0], [-22], [6], [0], [-26], [29], [17], [-6], [52], [36], [-28], [-5], [28], [56], [-2], [-2], [6], [7], [24], [-27], [54], [-33], [-3], [42], [-1], [36], [-57], [32], [4], [-32], [-18], [-4], [-1], [-8], [-37], [7], [-14], [5], [-18], [-20], [20], [18], [-27], [57], [-16], [-29], [32], [3], [13], [-38], [50], [54], [30], [16], [-20], [-18], [23], [15], [50], [31], [53], [-46], [-8], [1], [6], [-36], [-18], [31], [44], [60], [-5], [-38], [10], [-36], [26], [-34], [26], [30], [56], [69], [69], [1], [-49], [-37], [-24], [-21], [4], [-49], [5], [14], [-6], [0], [6], [-40], [-52], [-50], [8], [-36], [2], [-18], [-1], [-31], [-34], [-54], [-22], [31], [63], [-12], [-17], [12], [-12], [30], [-8], [52], [31], [-53], [28], [38], [23], [-10], [30], [-52], [-38], [14], [-22], [37], [70], [21], [29], [16], [38], [20], [-11], [38], [80], [-34], [25], [23], [-6], [-80], [4], [-50], [-12], [-9], [-46], [36], [16], [-7], [6], [-29], [-48], [43], [26], [-71], [41], [-4], [10], [64], [-36], [-48], [10], [-54], [-48], [-40], [78], [56], [28], [10], [40], [20], [52], [-50], [-77], [14], [8], [19], [-8], [59], [-24], [-5], [-60], [-47], [-24], [-58], [-57], [3], [-34], [41], [-70], [-58], [88], [66], [52], [-4], [17], [-64], [40], [82], [-56], [45], [86], [-30], [3], [-45], [10], [-31], [-82], [-36], [-83], [83], [48], [72], [-24], [-48], [-35], [27], [-32], [1], [-66], [4], [74], [54], [-27], [-32], [-67], [6], [-65], [70], [43], [-6], [38], [-64], [59], [61], [-8], [40], [55], [46], [-5], [35], [2], [31], [19], [74], [74], [-38], [98], [-94], [-72], [51], [-4], [34], [26], [-55], [-86], [-51], [54], [76], [39], [-86], [-17], [-1], [-52], [-6], [79], [-55], [-58], [30], [12], [48], [72], [-56], [19], [-5], [-26], [64], [21], [-6], [14], [-8], [8], [41], [-9], [-19], [-17], [-8], [-34], [-102], [-48], [20], [47], [32], [-6], [1], [-43], [-96]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 162129586618896464, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '4176.2.a.bk', 'level': 4176, 'maxp': 2999, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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': [7, 7, 12, 9, 7, 7, 9, 12], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [74, 85, 76, 79, 87, 75, 77, 74], 'Nk2': 16704, 'analytic_conductor': 33.345527884086685, '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': [4176, 1, [1567, 1045, 929, 4033], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 697, 'dim': 70, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 17], 'hecke_orbit_code': 33558608, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3], 'label': '4176.2.a', 'level': 4176, '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, 3, 29], 'level_radical': 174, 'mf_dim': 744, 'mf_new_dim': 70, 'num_forms': 51, 'plus_dim': 32, 'prim_orbit_index': 1, 'relative_dim': 70, 'sturm_bound': 1440, 'trace_bound': 17, 'trace_display': [0, 0, 0, -4], 'traces': [70, 0, 0, 0, 0, 0, -4, 0, 0, 0, -6, 0, 0, 0, 0, 0, 4, 0, 10, 0, 0, 0, 12, 0, 70, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 30, 0, 0, 0, -2, 0, 54, 0, 0, 0, 0, 0, 20, 0, 0, 0, -4, 0, -16, 0, 0, 0, 8, 0, -16, 0, 0, 0, -16, 0, -20, 0, 0, 0, 16, 0, -18, 0, 0, 0, 12, 0, 0, 0, 0, 0, -4, 0, -24, 0, 0, 0, -16, 0, -20, 0, 0, 0, 0, 0, 60, 0, 0, 0, 12, 0, 0, 0, 0, 0, 20, 0, 24, 0, 0, 0, 16, 0, 50, 0, 0, 0, 36, 0, -2, 0, 0, 0, -30, 0, 40, 0, 0, 0, -4, 0, -28, 0, 0, 0, -8, 0, 0, 0, 0, 0, 32, 0, -32, 0, 0, 0, -12, 0, -40, 0, 0, 0, 0, 0, 46, 0, 0, 0, -48, 0, 70, 0, 0, 0, 48, 0, 12, 0, 0, 0, 32, 0, -48, 0, 0, 0, -8, 0, 36, 0, 0, 0, -22, 0, -52, 0, 0, 0, -36, 0, -36, 0, 0, 0, -12, 0, 8, 0, 0, 0, -8, 0, -50, 0, 0, 0, 76, 0, -32, 0, 0, 0, 32, 0, 28, 0, 0, 0, 68, 0, 8, 0, 0, 0, -32, 0, 24, 0, 0, 0, 44, 0, -64, 0, 0, 0, 64, 0, 40, 0, 0, 0, -2, 0, -8, 0, 0, 0, -32, 0, 56, 0, 0, 0, 102, 0, -24, 0, 0, 0, -40, 0, -26, 0, 0, 0, -58, 0, 0, 0, 0, 0, 16, 0, -16, 0, 0, 0, -72, 0, 66, 0, 0, 0, 0, 0, 40, 0, 0, 0, 40, 0, 48, 0, 0, 0, -24, 0, 30, 0, 0, 0, 10, 0, 40, 0, 0, 0, 48, 0, -10, 0, 0, 0, 100, 0, 16, 0, 0, 0, 32, 0, 22, 0, 0, 0, 16, 0, -12, 0, 0, 0, 52, 0, 112, 0, 0, 0, 64, 0, -32, 0, 0, 0, -32, 0, 48, 0, 0, 0, 154, 0, -38, 0, 0, 0, 48, 0, -42, 0, 0, 0, -24, 0, -32, 0, 0, 0, 0, 0, 10, 0, 0, 0, -40, 0, 40, 0, 0, 0, 0, 0, -8, 0, 0, 0, -40, 0, 32, 0, 0, 0, -16, 0, -16, 0, 0, 0, 92, 0, -36, 0, 0, 0, -16, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, -88, 0, 0, 0, -4, 0, 28, 0, 0, 0, 64, 0, 48, 0, 0, 0, 58, 0, 80, 0, 0, 0, -44, 0, -20, 0, 0, 0, -8, 0, 56, 0, 0, 0, -64, 0, 8, 0, 0, 0, -22, 0, -32, 0, 0, 0, -20, 0, 74, 0, 0, 0, 18, 0, -16, 0, 0, 0, 40, 0, -76, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 82, 0, -24, 0, 0, 0, 48, 0, -8, 0, 0, 0, 112, 0, -32, 0, 0, 0, -40, 0, 60, 0, 0, 0, -180, 0, 6, 0, 0, 0, 64, 0, 0, 0, 0, 0, 34, 0, 88, 0, 0, 0, 60, 0, -36, 0, 0, 0, 26, 0, -48, 0, 0, 0, -28, 0, -16, 0, 0, 0, -126, 0, 72, 0, 0, 0, -76, 0, 20, 0, 0, 0, -236, 0, 84, 0, 0, 0, -48, 0, 152, 0, 0, 0, -20, 0, 64, 0, 0, 0, -88, 0, -48, 0, 0, 0, -78, 0, -28, 0, 0, 0, -32, 0, 14, 0, 0, 0, -132, 0, -64, 0, 0, 0, 108, 0, 14, 0, 0, 0, 96, 0, -10, 0, 0, 0, 32, 0, 16, 0, 0, 0, 128, 0, -144, 0, 0, 0, -4, 0, 80, 0, 0, 0, -136, 0, -96, 0, 0, 0, -112, 0, 96, 0, 0, 0, 30, 0, -80, 0, 0, 0, 16, 0, 12, 0, 0, 0, -148, 0, -192, 0, 0, 0, 64, 0, -152, 0, 0, 0, -28, 0, -152, 0, 0, 0, -12, 0, -20, 0, 0, 0, -16, 0, -24, 0, 0, 0, -128, 0, -132, 0, 0, 0, -288, 0, 48, 0, 0, 0, -136, 0, -156, 0, 0, 0, 20, 0, 80, 0, 0, 0, 0, 0, -58, 0, 0, 0, 28, 0, -8, 0, 0, 0, -8, 0, 170, 0, 0, 0, 54, 0, 24, 0, 0, 0, 96, 0, -14, 0, 0, 0, -296, 0, -72, 0, 0, 0, 8, 0, -216, 0, 0, 0, -48, 0, -44, 0, 0, 0, -120, 0, 150, 0, 0, 0, -140, 0, -112, 0, 0, 0, -48, 0, -72, 0, 0, 0, -48, 0, -88, 0, 0, 0, -16, 0, -52, 0, 0, 0, -28, 0, -48, 0, 0, 0, 36, 0, -40, 0, 0, 0, -40, 0, -24, 0, 0, 0, -80, 0, -282, 0, 0, 0, 34, 0, 48, 0, 0, 0, 20, 0, 88, 0, 0, 0, 46, 0, 70, 0, 0, 0, 4, 0, 76, 0, 0, 0, -168, 0, 64, 0, 0, 0, 0, 0, -142, 0, 0, 0, -64, 0, -32, 0, 0, 0, -192, 0, -264, 0, 0, 0, 200, 0, -48, 0, 0, 0, 4, 0, -128, 0, 0, 0, 14, 0, 40, 0, 0, 0, 64, 0, 40, 0, 0, 0, -42, 0, 0, 0, 0, 0, 4, 0, -74, 0, 0, 0, 58, 0, 16, 0, 0, 0, -248, 0, -68, 0, 0, 0, 248, 0, -88, 0, 0, 0, 152, 0, 170, 0, 0, 0, 120, 0, -72, 0, 0, 0, -176, 0, -40, 0, 0, 0, 130, 0, 72, 0, 0, 0, -32, 0, -160, 0, 0, 0, 136, 0, -6, 0, 0, 0, 96, 0, -246, 0, 0, 0, -242, 0, -32, 0, 0, 0, -32, 0, -164, 0, 0, 0, -98, 0, -80, 0, 0, 0, -120, 0, 320, 0, 0, 0, 208, 0, -56, 0, 0, 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: 1192046
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 37, 'source_is_minimal': False, 'source_label': '4176.2.a.bk', 'source_level': 4176, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '348.2.a.c', 'target_level': 348, 'twist_class_label': '348.2.a.c', 'twist_class_level': 348, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1192047
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 37, 'source_is_minimal': False, 'source_label': '4176.2.a.bk', 'source_level': 4176, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '1044.2.a.j', 'target_level': 1044, 'twist_class_label': '348.2.a.c', 'twist_class_level': 348, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1192048
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 37, 'source_is_minimal': False, 'source_label': '4176.2.a.bk', 'source_level': 4176, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1392.2.a.a', 'target_level': 1392, 'twist_class_label': '348.2.a.c', 'twist_class_level': 348, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1192049
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 37, 'source_is_minimal': False, 'source_label': '4176.2.a.bk', 'source_level': 4176, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 37, 'target_is_minimal': False, 'target_label': '4176.2.a.bk', 'target_level': 4176, 'twist_class_label': '348.2.a.c', 'twist_class_level': 348, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1192050
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 37, 'source_is_minimal': False, 'source_label': '4176.2.a.bk', 'source_level': 4176, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '5568.2.a.r', 'target_level': 5568, 'twist_class_label': '348.2.a.c', 'twist_class_level': 348, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1192051
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 37, 'source_is_minimal': False, 'source_label': '4176.2.a.bk', 'source_level': 4176, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 36, 'target_is_minimal': False, 'target_label': '5568.2.a.bj', 'target_level': 5568, 'twist_class_label': '348.2.a.c', 'twist_class_level': 348, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1192052
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 37, 'source_is_minimal': False, 'source_label': '4176.2.a.bk', 'source_level': 4176, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '8700.2.a.i', 'target_level': 8700, 'twist_class_label': '348.2.a.c', 'twist_class_level': 348, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1192053
    {'conductor': 60, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 37, 'source_is_minimal': False, 'source_label': '4176.2.a.bk', 'source_level': 4176, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '8700.2.g.h', 'target_level': 8700, 'twist_class_label': '348.2.a.c', 'twist_class_level': 348, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3520750
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 2}
  • id: 3520751
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 3}
  • id: 3520752
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 5}
  • id: 3520753
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 7}
  • id: 3520754
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 11}
  • id: 3520755
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 13}
  • id: 3520756
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 17}
  • id: 3520757
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 19}
  • id: 3520758
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 23}
  • id: 3520759
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 29}
  • id: 3520760
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 31}
  • id: 3520761
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 37}
  • id: 3520762
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 41}
  • id: 3520763
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 43}
  • id: 3520764
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 47}
  • id: 3520765
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 53}
  • id: 3520766
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 59}
  • id: 3520767
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 61}
  • id: 3520768
    {'charpoly_factorization': [[[-13, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 67}
  • id: 3520769
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 71}
  • id: 3520770
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 73}
  • id: 3520771
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 79}
  • id: 3520772
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 83}
  • id: 3520773
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 162129586618896464, 'p': 89}
  • id: 3520774
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 162129586618896464, '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': 37, 'label': '4176.2.a.bk', 'level': 4176, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 69908173
    {'hecke_orbit_code': 162129586618896464, 'n': 1, 'trace_an': 1}
  • id: 69908174
    {'hecke_orbit_code': 162129586618896464, 'n': 2, 'trace_an': 0}
  • id: 69908175
    {'hecke_orbit_code': 162129586618896464, 'n': 3, 'trace_an': 0}
  • id: 69908176
    {'hecke_orbit_code': 162129586618896464, 'n': 4, 'trace_an': 0}
  • id: 69908177
    {'hecke_orbit_code': 162129586618896464, 'n': 5, 'trace_an': 4}
  • id: 69908178
    {'hecke_orbit_code': 162129586618896464, 'n': 6, 'trace_an': 0}
  • id: 69908179
    {'hecke_orbit_code': 162129586618896464, 'n': 7, 'trace_an': 3}
  • id: 69908180
    {'hecke_orbit_code': 162129586618896464, 'n': 8, 'trace_an': 0}
  • id: 69908181
    {'hecke_orbit_code': 162129586618896464, 'n': 9, 'trace_an': 0}
  • id: 69908182
    {'hecke_orbit_code': 162129586618896464, 'n': 10, 'trace_an': 0}
  • id: 69908183
    {'hecke_orbit_code': 162129586618896464, 'n': 11, 'trace_an': -1}
  • id: 69908184
    {'hecke_orbit_code': 162129586618896464, 'n': 12, 'trace_an': 0}
  • id: 69908185
    {'hecke_orbit_code': 162129586618896464, 'n': 13, 'trace_an': -3}
  • id: 69908186
    {'hecke_orbit_code': 162129586618896464, 'n': 14, 'trace_an': 0}
  • id: 69908187
    {'hecke_orbit_code': 162129586618896464, 'n': 15, 'trace_an': 0}
  • id: 69908188
    {'hecke_orbit_code': 162129586618896464, 'n': 16, 'trace_an': 0}
  • id: 69908189
    {'hecke_orbit_code': 162129586618896464, 'n': 17, 'trace_an': 5}
  • id: 69908190
    {'hecke_orbit_code': 162129586618896464, 'n': 18, 'trace_an': 0}
  • id: 69908191
    {'hecke_orbit_code': 162129586618896464, 'n': 19, 'trace_an': -4}
  • id: 69908192
    {'hecke_orbit_code': 162129586618896464, 'n': 20, 'trace_an': 0}
  • id: 69908193
    {'hecke_orbit_code': 162129586618896464, 'n': 21, 'trace_an': 0}
  • id: 69908194
    {'hecke_orbit_code': 162129586618896464, 'n': 22, 'trace_an': 0}
  • id: 69908195
    {'hecke_orbit_code': 162129586618896464, 'n': 23, 'trace_an': -6}
  • id: 69908196
    {'hecke_orbit_code': 162129586618896464, 'n': 24, 'trace_an': 0}
  • id: 69908197
    {'hecke_orbit_code': 162129586618896464, 'n': 25, 'trace_an': 11}
  • id: 69908198
    {'hecke_orbit_code': 162129586618896464, 'n': 26, 'trace_an': 0}
  • id: 69908199
    {'hecke_orbit_code': 162129586618896464, 'n': 27, 'trace_an': 0}
  • id: 69908200
    {'hecke_orbit_code': 162129586618896464, 'n': 28, 'trace_an': 0}
  • id: 69908201
    {'hecke_orbit_code': 162129586618896464, 'n': 29, 'trace_an': 1}
  • id: 69908202
    {'hecke_orbit_code': 162129586618896464, 'n': 30, 'trace_an': 0}
  • id: 69908203
    {'hecke_orbit_code': 162129586618896464, 'n': 31, 'trace_an': -2}
  • id: 69908204
    {'hecke_orbit_code': 162129586618896464, 'n': 32, 'trace_an': 0}
  • id: 69908205
    {'hecke_orbit_code': 162129586618896464, 'n': 33, 'trace_an': 0}
  • id: 69908206
    {'hecke_orbit_code': 162129586618896464, 'n': 34, 'trace_an': 0}
  • id: 69908207
    {'hecke_orbit_code': 162129586618896464, 'n': 35, 'trace_an': 12}
  • id: 69908208
    {'hecke_orbit_code': 162129586618896464, 'n': 36, 'trace_an': 0}
  • id: 69908209
    {'hecke_orbit_code': 162129586618896464, 'n': 37, 'trace_an': 6}
  • id: 69908210
    {'hecke_orbit_code': 162129586618896464, 'n': 38, 'trace_an': 0}
  • id: 69908211
    {'hecke_orbit_code': 162129586618896464, 'n': 39, 'trace_an': 0}
  • id: 69908212
    {'hecke_orbit_code': 162129586618896464, 'n': 40, 'trace_an': 0}
  • id: 69908213
    {'hecke_orbit_code': 162129586618896464, 'n': 41, 'trace_an': -6}
  • id: 69908214
    {'hecke_orbit_code': 162129586618896464, 'n': 42, 'trace_an': 0}
  • id: 69908215
    {'hecke_orbit_code': 162129586618896464, 'n': 43, 'trace_an': 12}
  • id: 69908216
    {'hecke_orbit_code': 162129586618896464, 'n': 44, 'trace_an': 0}
  • id: 69908217
    {'hecke_orbit_code': 162129586618896464, 'n': 45, 'trace_an': 0}
  • id: 69908218
    {'hecke_orbit_code': 162129586618896464, 'n': 46, 'trace_an': 0}
  • id: 69908219
    {'hecke_orbit_code': 162129586618896464, 'n': 47, 'trace_an': 7}
  • id: 69908220
    {'hecke_orbit_code': 162129586618896464, 'n': 48, 'trace_an': 0}
  • id: 69908221
    {'hecke_orbit_code': 162129586618896464, 'n': 49, 'trace_an': 2}
  • id: 69908222
    {'hecke_orbit_code': 162129586618896464, 'n': 50, 'trace_an': 0}
  • id: 69908223
    {'hecke_orbit_code': 162129586618896464, 'n': 51, 'trace_an': 0}
  • id: 69908224
    {'hecke_orbit_code': 162129586618896464, 'n': 52, 'trace_an': 0}
  • id: 69908225
    {'hecke_orbit_code': 162129586618896464, 'n': 53, 'trace_an': 12}
  • id: 69908226
    {'hecke_orbit_code': 162129586618896464, 'n': 54, 'trace_an': 0}
  • id: 69908227
    {'hecke_orbit_code': 162129586618896464, 'n': 55, 'trace_an': -4}
  • id: 69908228
    {'hecke_orbit_code': 162129586618896464, 'n': 56, 'trace_an': 0}
  • id: 69908229
    {'hecke_orbit_code': 162129586618896464, 'n': 57, 'trace_an': 0}
  • id: 69908230
    {'hecke_orbit_code': 162129586618896464, 'n': 58, 'trace_an': 0}
  • id: 69908231
    {'hecke_orbit_code': 162129586618896464, 'n': 59, 'trace_an': -10}
  • id: 69908232
    {'hecke_orbit_code': 162129586618896464, 'n': 60, 'trace_an': 0}
  • id: 69908233
    {'hecke_orbit_code': 162129586618896464, 'n': 61, 'trace_an': 10}
  • id: 69908234
    {'hecke_orbit_code': 162129586618896464, 'n': 62, 'trace_an': 0}
  • id: 69908235
    {'hecke_orbit_code': 162129586618896464, 'n': 63, 'trace_an': 0}
  • id: 69908236
    {'hecke_orbit_code': 162129586618896464, 'n': 64, 'trace_an': 0}
  • id: 69908237
    {'hecke_orbit_code': 162129586618896464, 'n': 65, 'trace_an': -12}
  • id: 69908238
    {'hecke_orbit_code': 162129586618896464, 'n': 66, 'trace_an': 0}
  • id: 69908239
    {'hecke_orbit_code': 162129586618896464, 'n': 67, 'trace_an': 13}
  • id: 69908240
    {'hecke_orbit_code': 162129586618896464, 'n': 68, 'trace_an': 0}
  • id: 69908241
    {'hecke_orbit_code': 162129586618896464, 'n': 69, 'trace_an': 0}
  • id: 69908242
    {'hecke_orbit_code': 162129586618896464, 'n': 70, 'trace_an': 0}
  • id: 69908243
    {'hecke_orbit_code': 162129586618896464, 'n': 71, 'trace_an': -2}
  • id: 69908244
    {'hecke_orbit_code': 162129586618896464, 'n': 72, 'trace_an': 0}
  • id: 69908245
    {'hecke_orbit_code': 162129586618896464, 'n': 73, 'trace_an': 14}
  • id: 69908246
    {'hecke_orbit_code': 162129586618896464, 'n': 74, 'trace_an': 0}
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  • id: 69908317
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  • id: 69908335
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  • id: 69908344
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  • id: 69908345
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  • id: 69908346
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  • id: 69908347
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  • id: 69908348
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  • id: 69908349
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  • id: 69908370
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  • id: 69908371
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  • id: 69908372
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  • id: 69908373
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  • id: 69908375
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  • id: 69908379
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  • id: 69908384
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  • id: 69908385
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  • id: 69908386
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  • id: 69908387
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  • id: 69908388
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  • id: 69908390
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  • id: 69908391
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  • id: 69908392
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  • id: 69908394
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  • id: 69908396
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  • id: 69908397
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  • id: 69908399
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  • id: 69908400
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  • id: 69908402
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  • id: 69908403
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  • id: 69908404
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  • id: 69908405
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  • id: 69908406
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  • id: 69908407
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  • id: 69908408
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  • id: 69908409
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  • id: 69908410
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  • id: 69908411
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  • id: 69908412
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  • id: 69908413
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  • id: 69908414
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  • id: 69908415
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  • id: 69908416
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  • id: 69908417
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  • id: 69908418
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  • id: 69908419
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  • id: 69908420
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  • id: 69908421
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  • id: 69908422
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  • id: 69908423
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  • id: 69908424
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  • id: 69908425
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  • id: 69908426
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  • id: 69908427
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  • id: 69908428
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  • id: 69908429
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  • id: 69908430
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