Newform data - 2667.2.a.d

Formats: - HTML - YAML - JSON - 2025-09-04T05:34:44.512325

• 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': 10668, 'analytic_conductor': 21.29610221907548, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [7, -1], [127, -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': [2667, 1, [890, 1144, 2416], [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': [[2, [0, 1]], [5, [-3, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510798915668587, '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': '2667.2.a.d', 'level': 2667, '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': True, 'level_primes': [3, 7, 127], 'level_radical': 2667, 'minimal_twist': '2667.2.a.d', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}-2q^{4}+3q^{5}+q^{7}+q^{9}+6q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/2667/d'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2667.2.a', 'trace_display': [0, 1, 3, 1], 'trace_hash': 1917137821076414756, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.035', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.030', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.111', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.087', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.360', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.270', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, 'traces': [1, 0, 1, -2, 3, 0, 1, 0, 1, 0, 6, -2, -1, 0, 3, 4, 0, 0, -4, -6, 1, 0, 3, 0, 4, 0, 1, -2, 3, 0, 5, 0, 6, 0, 3, -2, -7, 0, -1, 0, 6, 0, -10, -12, 3, 0, 6, 4, 1, 0, 0, 2, 9, 0, 18, 0, -4, 0, -3, -6, -7, 0, 1, -8, -3, 0, -10, 0, 3, 0, 0, 0, -7, 0, 4, 8, 6, 0, -4, 12, 1, 0, 9, -2, 0, 0, 3, 0, -9, 0, -1, -6, 5, 0, -12, 0, 8, 0, 6, -8, 3, 0, -4, 0, 3, 0, 12, -2, 2, 0, -7, 4, 0, 0, 9, -6, -1, 0, 0, 0, 25, 0, 6, -10, -3, 0, 1, 0, -10, 0, 18, -12, -4, 0, 3, 0, 15, 0, 14, -6, 6, 0, -6, 4, 9, 0, 1, 14, 6, 0, -10, 0, 0, 0, 15, 2, -10, 0, 9, 0, 3, 0, 11, -12, 18, 0, 0, 0, -12, 0, -4, 20, 6, 0, 4, 24, -3, 0, -24, -6, -4, 0, -7, 0, -21, 0, 0, -12, 1, 0, -12, -8, 2, 0, -3, -2, -12, 0, -7, 0, -10, 0, 3, 0, 18, 0, 3, -4, -24, 0, 23, -18, 0, 0, -30, 0, 5, 0, -7, -36, 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0, -37, 0, 0, 24, -180, 0, 12, 56, -12, 0, -46, 6, 0, 0, 12, 0, 2, 0, 7, 0, -15, 0, 44, 24, 27, 0, 30, 14, -49, 0, 42, 0, -24, 0, -18, -18, 0, 0, -48, 0, 1, 0, -9, -52, 21, 0, 27, 0, -42, 0, -15, 20, -4, 0, 9, -40, -48, 0, -18, -150, -12, 0, -24, 0, 32, 0, 36, -82, -9, 0, 0, 0, 23, 0, 96, -6, 8, 0, -13, 0, 15, 0, 26, 12, 33, 0, 12, 0, -20, 0, 40, -64, 84, 0, 108, 0, -1, 0, -63, -36, 36, 0, -3, 0, 0, 0, -4, 66, -40, 0, 0, 0, 11, 0, 24, 92, 66, 0, 70, 60, -27, 0, 12, -6, 0, 0, -22, 0, -72, 0, 54, 18, -4, 0, -12, 8, 108, 0, 0, 58, -42, 0, 32, 0, 0, 0, 6, 48, -2, 0, 5, -40, 0, 0, -72, 0, 9, 0, 48, 0, 38, 0, -20, 44, 12, 0, -3, 0, -30, 0, -60, -46, 0, 0, -36, 0, 30, 0, -16, -6, 25, 0, 27, 36, 108, 0, -4, 2, -30, 0, 95, 0, -21, 0, -21, 0, 5, 0, -46, 0, 12, 0, 126, -36, -12, 0, 0, 0, -19, 0, 45, 80, 45, 0, -16, 12, 56, 0, 3, 60, -27, 0, 6, 0, 108, 0, 7, 54, 45, 0, -33, 0, 20, 0, 18, 36, 9, 0, 0, 0, -17, 0, -60, -10, 0, 0, -24, 44, -90, 0, -10, 36, 10, 0, 15, 0, -28, 0, 8, -108, -78, 0, 70, -48, -3, 0, 0, 14, -54, 0, 50, 0, 66, 0, 0, 30, 6, 0, -3, 72, -56, 0, 33, 62, -42, 0, 8, 0, 41, 0, -24, 0, 2, 0, -9, 0, -6, 0, -4, 24, 33, 0, 69, 0, -18, 0, 1, -18, 0, 0, -49, 0, 6, 0, 48, -28, 68, 0, -24, 0, 12, 0, -79, 84, -72, 0, 93, 0, -61, 0, -3, -70, -30, 0, 18, 0, 15, 0, -84, -8, 49, 0, 0, -48, 96, 0, 8, 0, -10, 0, 48, 0, 62, 0, -12, -16, 24, 0, -19, 0, -25, 0, -36, -36, 8, 0, 3, 0, -30, 0, -85, 48, 0, 0, -120, -16, 0, 0, 54, -90, -90, 0, -23, 0, -21, 0, -60, -16, -1, 0, 18, 80, 78, 0, -36, 18, -31, 0, -45, 0, -36, 0, -10, 8, -12, 0, -49, 24, 0, 0, 0, -12, -18, 0, -28, 0, 15, 0, -25, -84, -4, 0, 75, 0, 126, 0, 30, 0, -48, 0, -49, 0, -4, 0, 30, -42, 44, 0, -15, 16, -30, 0, -43, 42, 0, 0, -27, 0, 28, 0, -52, -56, 24, 0, -36, 96, -34, 0, -30, -36, -5, 0, -18, 0, 0, 0, 54, -6, 18, 0, -24, -12, -34, 0, 3, -52, 66, 0, 0, 0, 36, 0, 0, 8, 36, 0, 7, 0, -42, 0, 50, -30, 30, 0, -102, 0, -22, 0, 18, 36, 75, 0, 14, -96, -36, 0, -42, 18, 40, 0, 18, 0, 0, 0, -9, 24, 15, 0, -27, -24, 100, 0, -6, 8, 33, 0, -16, 0, 12, 0, -3, 8, 72, 0, 6, -16, 42, 0, -14, -24, -34, 0, -9, 0, 27, 0, 0, 44, 96, 0, 0, 0, 6, 0, 162, -2, 38, 0, 14, 0, 3, 0, 28, 0, -4, 0, -3, -28, 9, 0, -12, 98, -18, 0, -126, 0, -54, 0, -72, -6, 0, 0, 2, 0, -60, 0, -28, 120, 6, 0, -18, 0, 26, 0, -36, 14, 60, 0, -72, -84, 6, 0, -66, -8, -9, 0, -30, 0, -45, 0, 56, 78, -40, 0, 0, 0, -8, 0, -4, -36, -78, 0, 40, 0, -21, 0, -12, -18, -7, 0, -22, 0, -42, 0, 27, -24, -7, 0, 39, 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], [-2], [3], [0], [1], [0], [1], [0], [6], [-2], [-1], [0], [3], [4], [0], [0], [-4], [-6], [1], [0], [3], [0], [4], [0], [1], [-2], [3], [0], [5], [0], [6], [0], [3], [-2], [-7], [0], [-1], [0], [6], [0], [-10], [-12], [3], [0], [6], [4], [1], [0], [0], [2], [9], [0], [18], [0], [-4], [0], [-3], [-6], [-7], [0], [1], [-8], [-3], [0], [-10], [0], [3], [0], [0], [0], [-7], [0], [4], [8], [6], [0], [-4], [12], [1], [0], [9], [-2], [0], [0], [3], [0], [-9], [0], [-1], [-6], [5], [0], [-12], [0], [8], [0], [6], [-8]], 'ap': [[0], [1], [3], [1], [6], [-1], [0], [-4], [3], [3], [5], [-7], [6], [-10], [6], [9], [-3], [-7], [-10], [0], [-7], [-4], [9], [-9], [8], [3], [-4], [12], [2], [0], [1], [18], [15], [14], [6], [-10], [-10], [11], [0], [6], [-24], [-4], [-12], [2], [-12], [-7], [23], [14], [18], [8], [21], [-9], [-4], [-6], [9], [12], [-12], [-13], [-4], [-30], [-4], [6], [-10], [-15], [-34], [30], [-4], [-4], [-9], [26], [0], [0], [-19], [-10], [2], [12], [-36], [-25], [-27], [14], [-18], [-28], [-30], [38], [-10], [-12], [-18], [11], [18], [-19], [-21], [-6], [32], [36], [-4], [-24], [36], [0], [5], [32], [-40], [42], [-12], [12], [-34], [11], [-42], [-3], [9], [26], [41], [32], [-33], [-46], [-22], [18], [-40], [-27], [-18], [-15], [-31], [35], [0], [-24], [-4], [-21], [26], [-12], [-22], [-49], [-7], [-39], [-16], [29], [21], [-34], [6], [-37], [42], [36], [23], [-3], [-40], [-27], [-22], [9], [-46], [45], [56], [45], [50], [33], [41], [33], [-25], [0], [-31], [30], [-52], [-18], [36], [18], [-34], [6], [-12], [6], [-40], [-22], [23], [-18], [-27], [14], [24], [23], [14], [-21], [-55], [-6], [-16], [2], [-13], [15], [8], [0], [12], [63], [-40], [-7], [-10], [42], [20], [12], [-4], [36], [18], [-66], [2], [-1], [30], [27], [-21], [47], [41], [56], [-51], [30], [-43], [-30], [24], [-28], [56], [48], [-4], [48], [12], [-16], [-4], [-3], [24], [48], [20], [-13], [-51], [8], [36], [71], [72], [42], [8], [-27], [-34], [29], [32], [-54], [44], [-9], [8], [-18], [0], [-45], [60], [56], [-49], [-13], [63], [-42], [44], [24], [-34], [-36], [29], [-18], [-72], [-52], [-75], [60], [-34], [-1], [72], [-10], [-58], [-48], [-22], [29], [3], [-10], [45], [48], [44], [-66], [14], [-52], [-10], [-40], [-40], [62], [6], [62], [-40], [69], [-9], [32], [12], [44], [26], [48], [-22], [-72], [-46], [30], [18], [-42], [-66], [-12], [62], [-12], [8], [18], [42], [-37], [-85], [-3], [-13], [66], [-76], [-52], [-54], [14], [-39], [74], [42], [66], [-12], [50], [3], [-58], [75], [-12], [-61], [18], [53], [-4], [39], [86], [-78], [47], [-46], [-16], [9], [57], [-49], [21], [56], [18], [56], [-72], [-16], [66], [-7], [-7], [-58], [12], [-51], [-37], [0], [-63], [2], [-28], [-27], [78], [-46], [2], [-15], [44], [-49], [-24], [-48], [-15], [-48], [-24], [8], [15], [12], [-63], [-4], [11], [66], [32], [38], [-60], [-16], [27], [-30], [95], [5], [3], [-33], [20], [-90], [-28], [-78], [66], [8], [-6], [-4], [69], [-49], [68], [-79], [93], [-61], [-30], [-84], [8], [48], [62], [-19], [-30], [-85], [-90], [-1], [78], [-49], [15], [-48], [-49], [44], [-30], [-43], [-30], [-34], [66], [0], [50], [-22], [75], [-27], [-16], [42], [-9], [96], [38], [-3], [-72], [26], [60], [-66], [-45], [56], [39]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 13510798915668587, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '2667.2.a.d', 'level': 2667, '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': [14, 19, 13, 18, 17, 14, 10, 22], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [0, 1, 1, 1, 1, 1, 1, 1], 'ALdims_old': [24, 27, 28, 24, 30, 24, 33, 20], 'Nk2': 10668, 'analytic_conductor': 21.29610221907548, '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': [2667, 1, [890, 1144, 2416], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 337, 'dim': 127, 'eis_dim': 7, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5], 'hecke_orbit_code': 33557099, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 2, 2, 2, 2, 7, 11, 13, 14, 16, 16, 18, 19], 'label': '2667.2.a', 'level': 2667, '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': True, 'level_primes': [3, 7, 127], 'level_radical': 2667, 'mf_dim': 344, 'mf_new_dim': 127, 'num_forms': 17, 'plus_dim': 56, 'prim_orbit_index': 1, 'relative_dim': 127, 'sturm_bound': 682, 'trace_bound': 4, 'trace_display': [1, -1, 10, -1], 'traces': [127, 1, -1, 133, 10, 5, -1, -3, 127, -2, -12, -7, 2, -3, 2, 133, 14, 1, -4, 38, 3, 20, -8, 9, 145, 38, -1, -7, 2, -2, 16, 25, -12, 22, -6, 133, -6, -8, 2, -2, 30, 1, -28, -64, 10, -8, -24, -31, 127, -25, 6, -38, 10, 5, -32, -15, -12, -34, -36, 6, 10, 28, -1, 157, 36, -20, -52, -6, 16, 22, -32, -3, 54, 58, -15, 52, -12, 30, 32, 46, 127, -30, 28, 5, 4, -20, -22, 32, 38, -2, -6, -32, 8, -8, 0, 73, -2, 1, -12, 139, -6, -14, -56, 202, -6, 94, -92, -7, 42, -96, -22, 1, 22, 20, -32, 78, 2, -20, -2, -10, 91, -38, -26, 40, 12, -3, 19, -19, 20, 60, -68, 28, 4, -60, 2, 154, 6, -24, -100, -42, 0, -12, 40, 133, -4, 82, -1, -66, -22, 27, -32, -76, 14, -36, -176, 30, -22, -136, -22, -34, -8, 1, -44, -10, -8, -60, -72, 21, 249, -124, -4, 76, -6, 6, -15, -140, -20, -30, -20, 38, 10, 30, -14, 24, 28, 56, -128, -180, 3, -128, 0, -31, -42, -94, -44, 133, -38, 20, -88, -101, 28, 70, -14, -14, -28, 56, -8, -106, -88, 14, -28, 110, -32, -40, -32, 9, 0, -90, -58, -32, -4, -26, 64, -63, 145, 138, 92, -68, 18, 64, 12, 6, -26, 38, -64, -20, -32, -38, -56, 102, 30, 121, -1, -138, 10, -38, 32, -88, 92, 52, -12, -7, -160, -3, -44, 165, 30, -28, -6, 60, 2, 44, 48, -68, 172, -44, -2, -244, -46, -2, -136, 166, 10, -158, -52, 72, -110, -212, 16, 78, -2, 16, -4, -240, -8, -44, -42, 25, 189, -44, -18, 318, -110, 5, 0, 14, -12, -150, -56, -153, -12, 96, 42, -48, 36, 22, 84, -84, -16, -96, 176, 14, -18, -74, -6, -108, 154, -50, -72, -10, -12, -40, -136, 133, 62, -164, -30, -178, 24, 72, 36, -44, -6, -40, -128, -3, 94, -173, 54, 12, -24, -8, -1, -140, 32, -58, 84, 46, -102, 35, 2, -20, 14, -68, -80, -78, 6, 40, 0, -2, 195, 174, -37, -50, 36, -2, -16, -56, 30, 148, -6, 104, -54, -236, -12, 236, 228, 1, -20, 168, -1, -64, -104, 137, 32, 34, -28, -14, -110, -44, 128, -3, 12, 22, -24, -64, -102, -104, 12, 115, 86, 44, 160, -170, 10, -10, 40, -134, -82, 412, 38, 28, -36, -8, -128, 454, 20, -148, 116, -42, -110, 52, -24, 102, 26, 24, 34, -380, -128, -160, 56, -31, -58, 8, 44, -90, -112, -70, 48, -160, 127, -32, -28, -26, -20, 32, -22, 33, 6, -25, -32, -186, -40, -164, 28, 84, -90, -74, 6, -328, -38, -20, -96, -98, -32, 18, 36, -38, 12, -328, -78, -172, 8, -8, -204, -6, 10, -8, 64, 22, 164, 82, 8, 113, 52, 5, 24, -346, 28, -2, -76, -150, -4, 12, -32, 76, 8, -92, 20, 292, -32, 164, 0, -15, 108, 144, -55, 33, -46, 36, -18, 173, -12, -190, -40, -84, -176, -18, 58, 52, 46, -34, -20, -92, 29, 36, -96, -76, 199, -68, -36, 12, -76, -14, -64, -244, -52, 66, -12, 6, 18, 40, 90, 82, -52, -18, -28, -158, 10, 116, -104, -104, 0, 86, 204, -172, -126, 28, 224, -66, 200, -78, 12, -32, -140, 44, -1, -32, 38, -280, -108, 240, -56, -38, -296, 157, 6, 419, 110, -196, -52, -54, 16, 470, 36, 198, -284, -7, 16, 184, 34, -118, -50, -20, 68, -122, -80, -160, -176, 23, 70, 44, -52, 24, -54, 14, 184, 36, -6, 516, -88, -6, -110, 380, 52, -100, -26, -112, 12, -248, 16, -448, -42, -2, 51, -70, 0, -230, -52, 22, 48, -180, -116, 70, -6, 14, 2, -96, -32, -130, 70, 268, -236, -8, -72, -32, -8, -3, -72, 426, 16, -156, 98, -170, 160, -94, 54, 16, -212, -72, -182, -204, 84, 108, -8, 58, -16, -208, 72, -72, 8, 53, 102, 90, -15, 739, 154, 90, 22, -196, -28, 332, 60, 52, -28, -3, 194, 244, 252, -128, -60, -42, -12, 204, 144, 142, -4, 406, 62, 71, -46, 30, 160, -196, 0, -74, -78, -92, 82, 224, 32, -38, -16, 66, 72, -60, -48, 16, -248, 46, 80, 29, 198, 110, -114, 33, -24, 94, 127, -372, -328, -50, 82, 28, 2, -176, -376, -30, 156, -108, 88, -66, -32, 136, -236, 14, 28, -36, -28, 268, 80, -288, -20, -52, -296, 5, 130, 12, 144, -368, 38, -3, 66, -208, 4, 136, -64, 1, -10, -144, -50, 106, 122, -20, 192, -310, 42, -10, -32, -356, -320, -272, -22, 133, -180, 52, 196, 274, -64, 320, 30, 32, 188, 258, 12, -308, 50, 52, -8, -161, 38, -198, -24, 276, -112, -12, 82, -138, -266, -2, -204, -146, -24, -12, 80, -198, 16, 346, -6, -396, -214, 18, 128, 44, -164, 44, -116, -32, -102, 160, 122, -98, 14, 12, 88, 164, 8, -144, 136, -26, 145, 342, 86, 192, 422, -8, 91, 166, -4, 354, -352, -184, 10, -50, 0, -228, -10, 328, -108, -352, -2, -88, 288, 73, 140, -490, 93, -24, -184, -188, 224, 38, -2, 312, 84, -118, -150, 416, 42, 360, 214, 1, 228, -48, 72, 24, 256, -250, 15, -28, -12, -224, 64, -114, -128, -143, -88, 442, 320, 139, -84, 228, -28, 6, 92, -112, -172, 332, -6, 52, -32, 76, -24, 66, 68, -154, -84, -14, 192, 568, 44, -82, 480, -36, 270, 164, -56, -82, 278, 16, -4, -510, 32, 132, 416, 202, 14, -44, -34, -304, -102, 62, 400, -292, -6, 16, -204, -64, 164, -376, -142, -118, 110, 94, -184, 32, -24, -24, 70, 270, 63, 400, -92, 194, 244, 48, 152, 553, -40, 68, -316, -7, 100, -32, 190, -214, 70, -36, 240, 38, 42, -180, -32, -78, 60, 476, 32, 580, -16, -96, -32, -704, 68, -24, 72, 116, 226, -60, -22, -428], '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: 982091
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '2667.2.a.d', 'source_level': 2667, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '2667.2.a.d', 'target_level': 2667, 'twist_class_label': '2667.2.a.d', 'twist_class_level': 2667, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 982092
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '2667.2.a.d', 'source_level': 2667, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '8001.2.a.c', 'target_level': 8001, 'twist_class_label': '2667.2.a.d', 'twist_class_level': 2667, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2785875
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 2}
  • id: 2785876
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 3}
  • id: 2785877
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 5}
  • id: 2785878
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 7}
  • id: 2785879
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 11}
  • id: 2785880
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 13}
  • id: 2785881
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 17}
  • id: 2785882
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 19}
  • id: 2785883
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 23}
  • id: 2785884
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 29}
  • id: 2785885
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 31}
  • id: 2785886
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 37}
  • id: 2785887
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 41}
  • id: 2785888
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 43}
  • id: 2785889
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 47}
  • id: 2785890
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 53}
  • id: 2785891
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 59}
  • id: 2785892
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 61}
  • id: 2785893
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 67}
  • id: 2785894
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 71}
  • id: 2785895
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 73}
  • id: 2785896
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 79}
  • id: 2785897
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 83}
  • id: 2785898
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 13510798915668587, 'p': 89}
  • id: 2785899
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 13510798915668587, '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': 4, 'label': '2667.2.a.d', 'level': 2667, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 32960509
    {'hecke_orbit_code': 13510798915668587, 'n': 1, 'trace_an': 1}
  • id: 32960510
    {'hecke_orbit_code': 13510798915668587, 'n': 2, 'trace_an': 0}
  • id: 32960511
    {'hecke_orbit_code': 13510798915668587, 'n': 3, 'trace_an': 1}
  • id: 32960512
    {'hecke_orbit_code': 13510798915668587, 'n': 4, 'trace_an': -2}
  • id: 32960513
    {'hecke_orbit_code': 13510798915668587, 'n': 5, 'trace_an': 3}
  • id: 32960514
    {'hecke_orbit_code': 13510798915668587, 'n': 6, 'trace_an': 0}
  • id: 32960515
    {'hecke_orbit_code': 13510798915668587, 'n': 7, 'trace_an': 1}
  • id: 32960516
    {'hecke_orbit_code': 13510798915668587, 'n': 8, 'trace_an': 0}
  • id: 32960517
    {'hecke_orbit_code': 13510798915668587, 'n': 9, 'trace_an': 1}
  • id: 32960518
    {'hecke_orbit_code': 13510798915668587, 'n': 10, 'trace_an': 0}
  • id: 32960519
    {'hecke_orbit_code': 13510798915668587, 'n': 11, 'trace_an': 6}
  • id: 32960520
    {'hecke_orbit_code': 13510798915668587, 'n': 12, 'trace_an': -2}
  • id: 32960521
    {'hecke_orbit_code': 13510798915668587, 'n': 13, 'trace_an': -1}
  • id: 32960522
    {'hecke_orbit_code': 13510798915668587, 'n': 14, 'trace_an': 0}
  • id: 32960523
    {'hecke_orbit_code': 13510798915668587, 'n': 15, 'trace_an': 3}
  • id: 32960524
    {'hecke_orbit_code': 13510798915668587, 'n': 16, 'trace_an': 4}
  • id: 32960525
    {'hecke_orbit_code': 13510798915668587, 'n': 17, 'trace_an': 0}
  • id: 32960526
    {'hecke_orbit_code': 13510798915668587, 'n': 18, 'trace_an': 0}
  • id: 32960527
    {'hecke_orbit_code': 13510798915668587, 'n': 19, 'trace_an': -4}
  • id: 32960528
    {'hecke_orbit_code': 13510798915668587, 'n': 20, 'trace_an': -6}
  • id: 32960529
    {'hecke_orbit_code': 13510798915668587, 'n': 21, 'trace_an': 1}
  • id: 32960530
    {'hecke_orbit_code': 13510798915668587, 'n': 22, 'trace_an': 0}
  • id: 32960531
    {'hecke_orbit_code': 13510798915668587, 'n': 23, 'trace_an': 3}
  • id: 32960532
    {'hecke_orbit_code': 13510798915668587, 'n': 24, 'trace_an': 0}
  • id: 32960533
    {'hecke_orbit_code': 13510798915668587, 'n': 25, 'trace_an': 4}
  • id: 32960534
    {'hecke_orbit_code': 13510798915668587, 'n': 26, 'trace_an': 0}
  • id: 32960535
    {'hecke_orbit_code': 13510798915668587, 'n': 27, 'trace_an': 1}
  • id: 32960536
    {'hecke_orbit_code': 13510798915668587, 'n': 28, 'trace_an': -2}
  • id: 32960537
    {'hecke_orbit_code': 13510798915668587, 'n': 29, 'trace_an': 3}
  • id: 32960538
    {'hecke_orbit_code': 13510798915668587, 'n': 30, 'trace_an': 0}
  • id: 32960539
    {'hecke_orbit_code': 13510798915668587, 'n': 31, 'trace_an': 5}
  • id: 32960540
    {'hecke_orbit_code': 13510798915668587, 'n': 32, 'trace_an': 0}
  • id: 32960541
    {'hecke_orbit_code': 13510798915668587, 'n': 33, 'trace_an': 6}
  • id: 32960542
    {'hecke_orbit_code': 13510798915668587, 'n': 34, 'trace_an': 0}
  • id: 32960543
    {'hecke_orbit_code': 13510798915668587, 'n': 35, 'trace_an': 3}
  • id: 32960544
    {'hecke_orbit_code': 13510798915668587, 'n': 36, 'trace_an': -2}
  • id: 32960545
    {'hecke_orbit_code': 13510798915668587, 'n': 37, 'trace_an': -7}
  • id: 32960546
    {'hecke_orbit_code': 13510798915668587, 'n': 38, 'trace_an': 0}
  • id: 32960547
    {'hecke_orbit_code': 13510798915668587, 'n': 39, 'trace_an': -1}
  • id: 32960548
    {'hecke_orbit_code': 13510798915668587, 'n': 40, 'trace_an': 0}
  • id: 32960549
    {'hecke_orbit_code': 13510798915668587, 'n': 41, 'trace_an': 6}
  • id: 32960550
    {'hecke_orbit_code': 13510798915668587, 'n': 42, 'trace_an': 0}
  • id: 32960551
    {'hecke_orbit_code': 13510798915668587, 'n': 43, 'trace_an': -10}
  • id: 32960552
    {'hecke_orbit_code': 13510798915668587, 'n': 44, 'trace_an': -12}
  • id: 32960553
    {'hecke_orbit_code': 13510798915668587, 'n': 45, 'trace_an': 3}
  • id: 32960554
    {'hecke_orbit_code': 13510798915668587, 'n': 46, 'trace_an': 0}
  • id: 32960555
    {'hecke_orbit_code': 13510798915668587, 'n': 47, 'trace_an': 6}
  • id: 32960556
    {'hecke_orbit_code': 13510798915668587, 'n': 48, 'trace_an': 4}
  • id: 32960557
    {'hecke_orbit_code': 13510798915668587, 'n': 49, 'trace_an': 1}
  • id: 32960558
    {'hecke_orbit_code': 13510798915668587, 'n': 50, 'trace_an': 0}
  • id: 32960559
    {'hecke_orbit_code': 13510798915668587, 'n': 51, 'trace_an': 0}
  • id: 32960560
    {'hecke_orbit_code': 13510798915668587, 'n': 52, 'trace_an': 2}
  • id: 32960561
    {'hecke_orbit_code': 13510798915668587, 'n': 53, 'trace_an': 9}
  • id: 32960562
    {'hecke_orbit_code': 13510798915668587, 'n': 54, 'trace_an': 0}
  • id: 32960563
    {'hecke_orbit_code': 13510798915668587, 'n': 55, 'trace_an': 18}
  • id: 32960564
    {'hecke_orbit_code': 13510798915668587, 'n': 56, 'trace_an': 0}
  • id: 32960565
    {'hecke_orbit_code': 13510798915668587, 'n': 57, 'trace_an': -4}
  • id: 32960566
    {'hecke_orbit_code': 13510798915668587, 'n': 58, 'trace_an': 0}
  • id: 32960567
    {'hecke_orbit_code': 13510798915668587, 'n': 59, 'trace_an': -3}
  • id: 32960568
    {'hecke_orbit_code': 13510798915668587, 'n': 60, 'trace_an': -6}
  • id: 32960569
    {'hecke_orbit_code': 13510798915668587, 'n': 61, 'trace_an': -7}
  • id: 32960570
    {'hecke_orbit_code': 13510798915668587, 'n': 62, 'trace_an': 0}
  • id: 32960571
    {'hecke_orbit_code': 13510798915668587, 'n': 63, 'trace_an': 1}
  • id: 32960572
    {'hecke_orbit_code': 13510798915668587, 'n': 64, 'trace_an': -8}
  • id: 32960573
    {'hecke_orbit_code': 13510798915668587, 'n': 65, 'trace_an': -3}
  • id: 32960574
    {'hecke_orbit_code': 13510798915668587, 'n': 66, 'trace_an': 0}
  • id: 32960575
    {'hecke_orbit_code': 13510798915668587, 'n': 67, 'trace_an': -10}
  • id: 32960576
    {'hecke_orbit_code': 13510798915668587, 'n': 68, 'trace_an': 0}
  • id: 32960577
    {'hecke_orbit_code': 13510798915668587, 'n': 69, 'trace_an': 3}
  • id: 32960578
    {'hecke_orbit_code': 13510798915668587, 'n': 70, 'trace_an': 0}
  • id: 32960579
    {'hecke_orbit_code': 13510798915668587, 'n': 71, 'trace_an': 0}
  • id: 32960580
    {'hecke_orbit_code': 13510798915668587, 'n': 72, 'trace_an': 0}
  • id: 32960581
    {'hecke_orbit_code': 13510798915668587, 'n': 73, 'trace_an': -7}
  • id: 32960582
    {'hecke_orbit_code': 13510798915668587, 'n': 74, 'trace_an': 0}
  • id: 32960583
    {'hecke_orbit_code': 13510798915668587, 'n': 75, 'trace_an': 4}
  • id: 32960584
    {'hecke_orbit_code': 13510798915668587, 'n': 76, 'trace_an': 8}
  • id: 32960585
    {'hecke_orbit_code': 13510798915668587, 'n': 77, 'trace_an': 6}
  • id: 32960586
    {'hecke_orbit_code': 13510798915668587, 'n': 78, 'trace_an': 0}
  • id: 32960587
    {'hecke_orbit_code': 13510798915668587, 'n': 79, 'trace_an': -4}
  • id: 32960588
    {'hecke_orbit_code': 13510798915668587, 'n': 80, 'trace_an': 12}
  • id: 32960589
    {'hecke_orbit_code': 13510798915668587, 'n': 81, 'trace_an': 1}
  • id: 32960590
    {'hecke_orbit_code': 13510798915668587, 'n': 82, 'trace_an': 0}
  • id: 32960591
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  • id: 32960592
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  • id: 32960593
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  • id: 32960594
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  • id: 32960595
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  • id: 32960596
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  • id: 32960597
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  • id: 32960598
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  • id: 32960599
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  • id: 32960600
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  • id: 32960601
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  • id: 32960602
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  • id: 32960603
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  • id: 32960604
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  • id: 32960605
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  • id: 32960606
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  • id: 32960607
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  • id: 32960608
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  • id: 32960609
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  • id: 32960610
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  • id: 32960611
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  • id: 32960612
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  • id: 32960613
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  • id: 32960614
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  • id: 32960615
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  • id: 32960616
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  • id: 32960617
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  • id: 32960618
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  • id: 32960619
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  • id: 32960620
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  • id: 32960621
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  • id: 32960622
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  • id: 32960623
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  • id: 32960624
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  • id: 32960625
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  • id: 32960626
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  • id: 32960627
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  • id: 32960628
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  • id: 32960629
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  • id: 32960630
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  • id: 32960631
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  • id: 32960632
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  • id: 32960633
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  • id: 32960634
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  • id: 32960635
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  • id: 32960636
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  • id: 32960637
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  • id: 32960638
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  • id: 32960639
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  • id: 32960640
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  • id: 32960641
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  • id: 32960642
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  • id: 32960643
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  • id: 32960644
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  • id: 32960645
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  • id: 32960646
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  • id: 32960647
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  • id: 32960648
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  • id: 32960649
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  • id: 32960650
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  • id: 32960651
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  • id: 32960652
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  • id: 32960653
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  • id: 32960654
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  • id: 32960655
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  • id: 32960656
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  • id: 32960657
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  • id: 32960658
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  • id: 32960659
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  • id: 32960660
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  • id: 32960661
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  • id: 32960662
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  • id: 32960663
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  • id: 32960664
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  • id: 32960665
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  • id: 32960666
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  • id: 32960667
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  • id: 32960668
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  • id: 32960669
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  • id: 32960670
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  • id: 32960671
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  • id: 32960672
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  • id: 32960673
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  • id: 32960674
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  • id: 32960675
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  • id: 32960676
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  • id: 32960677
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  • id: 32960678
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  • id: 32960679
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  • id: 32960680
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  • id: 32960681
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  • id: 32960682
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  • id: 32960683
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  • id: 32960684
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  • id: 32960685
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  • id: 32960686
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  • id: 32960687
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  • id: 32960688
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  • id: 32960689
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  • id: 32960690
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  • id: 32960691
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  • id: 32960692
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  • id: 32960693
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  • id: 32960694
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  • id: 32960695
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  • id: 32960696
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  • id: 32960697
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  • id: 32960698
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  • id: 32960699
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  • id: 32960700
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  • id: 32960701
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  • id: 32960702
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  • id: 32960703
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  • id: 32960704
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  • id: 32960705
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  • id: 32960706
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  • id: 32960707
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  • id: 32960708
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  • id: 32960709
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  • id: 32960710
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  • id: 32960711
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  • id: 32960712
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  • id: 32960713
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  • id: 32960714
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  • id: 32960715
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  • id: 32960716
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  • id: 32960717
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  • id: 32960718
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  • id: 32960719
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  • id: 32960720
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  • id: 32960721
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  • id: 32960722
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  • id: 32960723
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  • id: 32960724
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  • id: 32960725
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  • id: 32960726
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  • id: 32960727
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  • id: 32960728
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  • id: 32960729
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  • id: 32960730
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  • id: 32960731
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  • id: 32960732
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  • id: 32960733
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  • id: 32960734
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  • id: 32960735
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  • id: 32960736
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  • id: 32960737
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  • id: 32960738
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  • id: 32960739
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  • id: 32960740
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  • id: 32960741
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  • id: 32960742
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  • id: 32960743
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  • id: 32960744
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  • id: 32960745
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  • id: 32960746
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  • id: 32960747
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  • id: 32960748
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  • id: 32960749
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  • id: 32960750
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  • id: 32960751
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  • id: 32960752
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  • id: 32960753
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  • id: 32960754
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  • id: 32960755
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  • id: 32960756
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  • id: 32960757
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  • id: 32960758
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  • id: 32960759
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  • id: 32960760
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  • id: 32960761
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  • id: 32960762
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  • id: 32960763
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  • id: 32960764
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  • id: 32960765
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  • id: 32960766
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