Newform data - 3200.2.a.y

Formats: - HTML - YAML - JSON - 2024-04-25T07:41:13.803005

• 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
  conrey_indexes	integer[]
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 12800, 'analytic_conductor': 25.552128646809724, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, 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': [3200, 1, [1151, 901, 2177], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [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]], [7, [4, 1]], [11, [3, 1]], [13, [2, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090449536, '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_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '3200.2.a.y', 'level': 3200, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '3200.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3q^{3}-4q^{7}+6q^{9}-3q^{11}-2q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/3200/y'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3200.2.a', 'trace_display': [0, 3, 0, -4], 'trace_hash': 961371464714265640, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.028', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.055', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.097', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.015', 'prec': 17}, 'traces': [1, 0, 3, 0, 0, 0, -4, 0, 6, 0, -3, 0, -2, 0, 0, 0, 3, 0, -7, 0, -12, 0, -6, 0, 0, 0, 9, 0, 6, 0, -10, 0, -9, 0, 0, 0, 0, 0, -6, 0, -11, 0, 4, 0, 0, 0, 2, 0, 9, 0, 9, 0, -14, 0, 0, 0, -21, 0, -4, 0, 8, 0, -24, 0, 0, 0, 5, 0, -18, 0, 2, 0, 9, 0, 0, 0, 12, 0, 12, 0, 9, 0, 1, 0, 0, 0, 18, 0, 3, 0, 8, 0, -30, 0, 0, 0, -2, 0, -18, 0, -4, 0, 6, 0, 0, 0, -13, 0, -4, 0, 0, 0, -3, 0, 0, 0, -12, 0, -12, 0, -2, 0, -33, 0, 0, 0, 6, 0, 12, 0, -4, 0, 28, 0, 0, 0, -5, 0, -15, 0, 6, 0, 6, 0, 0, 0, 27, 0, 2, 0, -16, 0, 18, 0, 0, 0, 2, 0, -42, 0, 24, 0, 13, 0, 0, 0, 10, 0, -9, 0, -42, 0, 12, 0, 0, 0, -12, 0, 1, 0, -22, 0, 24, 0, 0, 0, -9, 0, -36, 0, -6, 0, 23, 0, 0, 0, 14, 0, -4, 0, 15, 0, -24, 0, 0, 0, -36, 0, 21, 0, -13, 0, 6, 0, 0, 0, 40, 0, 27, 0, -6, 0, -20, 0, 0, 0, -8, 0, -16, 0, 36, 0, 2, 0, 0, 0, 36, 0, 26, 0, 13, 0, 0, 0, 0, 0, 14, 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0, -37, 0, 16, 0, 54, 0, 12, 0, 0, 0, -90, 0, 4, 0, -30, 0, -189, 0, 0, 0, -22, 0, 192, 0, 50, 0, -64, 0, 0, 0, 140, 0, 143, 0, 3, 0, -12, 0, 0, 0, -60, 0, 15, 0, -80, 0, 114, 0, 0, 0, -54, 0, 198, 0, -14, 0, -55, 0, 0, 0, -72, 0, 30, 0, -108, 0, 1, 0, 0, 0, -54, 0, 0, 0, 20, 0, -144, 0, 0, 0, -23, 0, 9, 0, -48, 0, -100, 0, 0, 0, 16, 0, 112, 0, -108, 0, -27, 0, 0, 0, 60, 0, -22, 0, 20, 0, 207, 0, 0, 0, 58, 0, -117, 0, -36, 0, -66, 0, 0, 0, -1, 0, 40, 0, -36, 0, -52, 0, 0, 0, -126, 0, 102, 0, -22, 0, 111, 0, 0, 0, -20, 0, 180, 0, -36, 0, 0, 0, 0, 0, 46, 0, -24, 0, -75, 0, 124, 0, 0, 0, -27, 0, -29, 0, 36, 0, -36, 0, 0, 0, 96, 0, 0, 0, 16, 0, -45, 0, 0, 0, 22, 0, 0, 0, -48, 0, 44, 0, 0, 0, -72, 0, -25, 0, -7, 0, -12, 0, 0, 0, 32, 0, 6, 0, 6, 0, -14, 0, 0, 0, 36, 0, 72, 0, -108, 0, -99, 0, 0, 0, 0, 0, 66, 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], [3], [0], [0], [0], [-4], [0], [6], [0], [-3], [0], [-2], [0], [0], [0], [3], [0], [-7], [0], [-12], [0], [-6], [0], [0], [0], [9], [0], [6], [0], [-10], [0], [-9], [0], [0], [0], [0], [0], [-6], [0], [-11], [0], [4], [0], [0], [0], [2], [0], [9], [0], [9], [0], [-14], [0], [0], [0], [-21], [0], [-4], [0], [8], [0], [-24], [0], [0], [0], [5], [0], [-18], [0], [2], [0], [9], [0], [0], [0], [12], [0], [12], [0], [9], [0], [1], [0], [0], [0], [18], [0], [3], [0], [8], [0], [-30], [0], [0], [0], [-2], [0], [-18], [0]], 'ap': [[0], [3], [0], [-4], [-3], [-2], [3], [-7], [-6], [6], [-10], [0], [-11], [4], [2], [-14], [-4], [8], [5], [2], [9], [12], [1], [3], [-2], [-4], [6], [-13], [-4], [-3], [6], [-4], [-5], [-15], [2], [-16], [2], [13], [10], [12], [1], [-22], [-6], [23], [14], [-4], [-13], [-20], [-8], [-16], [2], [26], [13], [3], [18], [22], [0], [-2], [26], [-18], [-11], [-16], [-13], [32], [-10], [-24], [1], [1], [23], [0], [18], [16], [-8], [-10], [7], [0], [10], [-4], [-35], [25], [-31], [-24], [0], [-25], [26], [9], [21], [39], [-40], [32], [-36], [-10], [-10], [0], [-28], [-20], [14], [-27], [11], [-4], [-17], [-22], [12], [-39], [-28], [17], [29], [-7], [-12], [-5], [-36], [-34], [38], [-16], [-14], [-30], [-12], [12], [8], [31], [-14], [18], [12], [27], [-39], [18], [32], [24], [38], [6], [12], [-6], [18], [-4], [-15], [41], [-46], [-28], [42], [-46], [-52], [10], [32], [-7], [-6], [24], [14], [39], [-15], [18], [-8], [54], [-29], [-44], [12], [16], [-34], [-30], [1], [38], [-36], [3], [-12], [37], [-25], [0], [-4], [-36], [41], [46], [39], [-32], [20], [-19], [-10], [27], [-5], [24], [28], [-34], [-32], [45], [40], [-47], [-34], [-28], [-44], [23], [-23], [-6], [-59], [1], [-41], [54], [-9], [-14], [15], [-66], [-23], [-48], [38], [0], [-60], [51], [-60], [-42], [-26], [-36], [-6], [52], [46], [-68], [-34], [63], [-58], [-15], [-14], [-27], [28], [36], [46], [58], [25], [-56], [7], [-8], [-39], [34], [-22], [-9], [16], [43], [-28], [23], [-28], [12], [21], [-62], [-1], [-8], [39], [35], [-10], [-16], [61], [52], [-44], [-36], [-17], [-14], [-32], [-9], [-60], [11], [-42], [51], [-14], [-55], [-52], [-33], [-44], [33], [-50], [2], [-1], [-39], [-38], [30], [75], [-16], [-62], [45], [-19], [34], [26], [4], [55], [-68], [22], [-51], [32], [-54], [-12], [76], [73], [-80], [-2], [46], [24], [14], [16], [-48], [9], [-9], [40], [14], [4], [34], [36], [-63], [63], [60], [-44], [-49], [-9], [-61], [60], [-56], [-70], [0], [24], [-90], [-75], [56], [-72], [22], [57], [84], [-19], [-21], [0], [-37], [-2], [74], [-34], [42], [-25], [-40], [-48], [-82], [22], [16], [56], [3], [-35], [60], [70], [34], [35], [-84], [56], [79], [78], [-50], [-30], [-92], [-2], [-7], [26], [-72], [-41], [-2], [-60], [-26], [10], [89], [-22], [-51], [-30], [-24], [28], [83], [12], [36], [29], [-59], [-66], [60], [65], [-48], [-35], [-36], [-96], [12], [-32], [17], [-80], [1], [-51], [74], [22], [39], [78], [77], [24], [64], [52], [32], [52], [-42], [83], [8], [79], [17], [34], [35], [-40], [29], [97], [54], [-66], [-65], [-26], [-37], [4], [-30], [-22], [50], [-64], [15], [-55], [-72], [1], [20], [-23], [-48], [-22], [58], [-1], [-52], [102], [-20], [46], [-29], [-45], [22], [44], [-25], [-7], [66]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 108086391090449536, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '3200.2.a.y', 'level': 3200, 'maxp': 2999, 'weight': 2}
• mf_newspaces •

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

  
  {'AL_dims': [[[[2, 1], [5, 1]], 15, 13], [[[2, -1], [5, -1]], 18, 9], [[[2, 1], [5, -1]], 22, 11], [[[2, -1], [5, 1]], 21, 15]], 'ALdims': [15, 22, 21, 18], 'Nk2': 12800, 'analytic_conductor': 25.552128646809724, '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': [3200, 1, [1151, 901, 2177], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 433, 'dim': 76, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11, 13], 'hecke_orbit_code': 33557632, '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, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3], 'label': '3200.2.a', 'level': 3200, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 528, 'mf_new_dim': 76, 'num_forms': 48, 'plus_dim': 33, 'prim_orbit_index': 1, 'relative_dim': 76, 'sturm_bound': 960, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [76, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -344, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 172, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -260, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -296, 0, 0, 0, 0, 0, 0, 0, 392, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -344, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, -496, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, -536, 0, 0, 0, 0, 0, 0, 0, -376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 204, 0, 0, 0, 0, 0, 0, 0, -704, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -464, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, -552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 268, 0, 0, 0, 0, 0, 0, 0, 520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 408, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 328, 0, 0, 0, 0, 0, 0, 0, 472, 0, 0, 0, 0, 0, 0, 0, 896, 0, 0, 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0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, -656, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 344, 0, 0, 0, 0, 0, 0, 0, 768, 0, 0, 0, 0, 0, 0, 0, -656, 0, 0, 0, 0, 0, 0, 0, -496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 568, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 464, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -704, 0, 0, 0, 0, 0, 0, 0, 676, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 488, 0, 0, 0, 0, 0, 0, 0, 1024, 0, 0, 0, 0, 0, 0, 0, 648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -440, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 1072, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 392, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 428, 0, 0, 0, 0, 0, 0, 0, -656, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -568, 0, 0, 0, 0, 0, 0, 0, 624, 0, 0, 0, 0, 0, 0, 0, -552, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 328, 0, 0, 0, 0, 0, 0, 0, -400, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -1032, 0, 0, 0, 0, 0, 0, 0, 712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 464, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -1304, 0, 0, 0, 0, 0, 0, 0, 584, 0, 0, 0, 0, 0, 0, 0, -696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 280, 0, 0, 0, 0, 0, 0, 0, -896, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 568, 0, 0, 0, 0, 0, 0, 0, 520, 0, 0, 0, 0, 0, 0, 0, -280, 0, 0, 0, 0, 0, 0, 0, -832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -436, 0, 0, 0, 0, 0, 0, 0, -1072, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -688, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -296, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -680, 0, 0, 0, 0, 0, 0, 0, -880, 0, 0, 0, 0, 0, 0, 0, 368, 0, 0, 0, 0, 0, 0, 0, 864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 496, 0, 0, 0, 0, 0, 0, 0, -560, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -568, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 496, 0, 0, 0, 0, 0, 0, 0, 680, 0, 0, 0, 0, 0, 0, 0, -896, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 328, 0, 0, 0, 0, 0, 0, 0, -1264, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -1592, 0, 0, 0, 0, 0, 0, 0, -816, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1152, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, 296, 0, 0, 0, 0, 0, 0, 0, -456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -392, 0, 0, 0, 0, 0, 0, 0, 752, 0, 0, 0, 0, 0, 0, 0, -1296, 0, 0, 0, 0, 0, 0, 0, 856, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, 696, 0, 0, 0, 0, 0, 0, 0, 768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 624, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -440, 0, 0, 0, 0, 0, 0, 0, -1008, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 660, 0, 0, 0, 0, 0, 0, 0, -1224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, -1200, 0, 0, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, -376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, -1120, 0, 0, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -912, 0, 0, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, 0, 0, 0, -720, 0, 0, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -456, 0, 0, 0, 0, 0, 0, 0, -896, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 624, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 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: 1063343
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3200.2.a.y', 'source_level': 3200, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '3200.2.a.a', 'target_level': 3200, 'twist_class_label': '3200.2.a.a', 'twist_class_level': 3200, 'twisting_char_label': '40.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1063344
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3200.2.a.y', 'source_level': 3200, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '3200.2.a.b', 'target_level': 3200, 'twist_class_label': '3200.2.a.a', 'twist_class_level': 3200, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1063345
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3200.2.a.y', 'source_level': 3200, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '3200.2.a.c', 'target_level': 3200, 'twist_class_label': '3200.2.a.a', 'twist_class_level': 3200, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1063346
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3200.2.a.y', 'source_level': 3200, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '3200.2.a.d', 'target_level': 3200, 'twist_class_label': '3200.2.a.a', 'twist_class_level': 3200, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1063347
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3200.2.a.y', 'source_level': 3200, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 25, 'target_is_minimal': True, 'target_label': '3200.2.a.y', 'target_level': 3200, 'twist_class_label': '3200.2.a.a', 'twist_class_level': 3200, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1063348
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3200.2.a.y', 'source_level': 3200, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 26, 'target_is_minimal': True, 'target_label': '3200.2.a.z', 'target_level': 3200, 'twist_class_label': '3200.2.a.a', 'twist_class_level': 3200, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1063349
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3200.2.a.y', 'source_level': 3200, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 27, 'target_is_minimal': True, 'target_label': '3200.2.a.ba', 'target_level': 3200, 'twist_class_label': '3200.2.a.a', 'twist_class_level': 3200, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1063350
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3200.2.a.y', 'source_level': 3200, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 28, 'target_is_minimal': True, 'target_label': '3200.2.a.bb', 'target_level': 3200, 'twist_class_label': '3200.2.a.a', 'twist_class_level': 3200, 'twisting_char_label': '40.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1063351
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3200.2.a.y', 'source_level': 3200, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '3200.2.c.a', 'target_level': 3200, 'twist_class_label': '3200.2.a.a', 'twist_class_level': 3200, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1063352
    {'conductor': 40, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3200.2.a.y', 'source_level': 3200, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '3200.2.c.b', 'target_level': 3200, 'twist_class_label': '3200.2.a.a', 'twist_class_level': 3200, 'twisting_char_label': '40.k', 'twisting_char_orbit': 11, 'weight': 2}
  • id: 1063353
    {'conductor': 20, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3200.2.a.y', 'source_level': 3200, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3200.2.c.c', 'target_level': 3200, 'twist_class_label': '3200.2.a.a', 'twist_class_level': 3200, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1063354
    {'conductor': 40, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3200.2.a.y', 'source_level': 3200, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '3200.2.c.d', 'target_level': 3200, 'twist_class_label': '3200.2.a.a', 'twist_class_level': 3200, 'twisting_char_label': '40.i', 'twisting_char_orbit': 9, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3057250
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 2}
  • id: 3057251
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 3}
  • id: 3057252
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 5}
  • id: 3057253
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 7}
  • id: 3057254
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 11}
  • id: 3057255
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 13}
  • id: 3057256
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 17}
  • id: 3057257
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 19}
  • id: 3057258
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 23}
  • id: 3057259
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 29}
  • id: 3057260
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 31}
  • id: 3057261
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 37}
  • id: 3057262
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 41}
  • id: 3057263
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 43}
  • id: 3057264
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 47}
  • id: 3057265
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 53}
  • id: 3057266
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 59}
  • id: 3057267
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 61}
  • id: 3057268
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 67}
  • id: 3057269
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 71}
  • id: 3057270
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 73}
  • id: 3057271
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 79}
  • id: 3057272
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 83}
  • id: 3057273
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 108086391090449536, 'p': 89}
  • id: 3057274
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 108086391090449536, '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': 25, 'label': '3200.2.a.y', 'level': 3200, '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: 257109000
    {'hecke_orbit_code': 108086391090449536, 'n': 1, 'trace_an': 1}
  • id: 257109001
    {'hecke_orbit_code': 108086391090449536, 'n': 2, 'trace_an': 0}
  • id: 257109002
    {'hecke_orbit_code': 108086391090449536, 'n': 3, 'trace_an': 3}
  • id: 257109003
    {'hecke_orbit_code': 108086391090449536, 'n': 4, 'trace_an': 0}
  • id: 257109004
    {'hecke_orbit_code': 108086391090449536, 'n': 5, 'trace_an': 0}
  • id: 257109005
    {'hecke_orbit_code': 108086391090449536, 'n': 6, 'trace_an': 0}
  • id: 257109006
    {'hecke_orbit_code': 108086391090449536, 'n': 7, 'trace_an': -4}
  • id: 257109007
    {'hecke_orbit_code': 108086391090449536, 'n': 8, 'trace_an': 0}
  • id: 257109008
    {'hecke_orbit_code': 108086391090449536, 'n': 9, 'trace_an': 6}
  • id: 257109009
    {'hecke_orbit_code': 108086391090449536, 'n': 10, 'trace_an': 0}
  • id: 257109010
    {'hecke_orbit_code': 108086391090449536, 'n': 11, 'trace_an': -3}
  • id: 257109011
    {'hecke_orbit_code': 108086391090449536, 'n': 12, 'trace_an': 0}
  • id: 257109012
    {'hecke_orbit_code': 108086391090449536, 'n': 13, 'trace_an': -2}
  • id: 257109013
    {'hecke_orbit_code': 108086391090449536, 'n': 14, 'trace_an': 0}
  • id: 257109014
    {'hecke_orbit_code': 108086391090449536, 'n': 15, 'trace_an': 0}
  • id: 257109015
    {'hecke_orbit_code': 108086391090449536, 'n': 16, 'trace_an': 0}
  • id: 257109016
    {'hecke_orbit_code': 108086391090449536, 'n': 17, 'trace_an': 3}
  • id: 257109017
    {'hecke_orbit_code': 108086391090449536, 'n': 18, 'trace_an': 0}
  • id: 257109018
    {'hecke_orbit_code': 108086391090449536, 'n': 19, 'trace_an': -7}
  • id: 257109019
    {'hecke_orbit_code': 108086391090449536, 'n': 20, 'trace_an': 0}
  • id: 257109020
    {'hecke_orbit_code': 108086391090449536, 'n': 21, 'trace_an': -12}
  • id: 257109021
    {'hecke_orbit_code': 108086391090449536, 'n': 22, 'trace_an': 0}
  • id: 257109022
    {'hecke_orbit_code': 108086391090449536, 'n': 23, 'trace_an': -6}
  • id: 257109023
    {'hecke_orbit_code': 108086391090449536, 'n': 24, 'trace_an': 0}
  • id: 257109024
    {'hecke_orbit_code': 108086391090449536, 'n': 25, 'trace_an': 0}
  • id: 257109025
    {'hecke_orbit_code': 108086391090449536, 'n': 26, 'trace_an': 0}
  • id: 257109026
    {'hecke_orbit_code': 108086391090449536, 'n': 27, 'trace_an': 9}
  • id: 257109027
    {'hecke_orbit_code': 108086391090449536, 'n': 28, 'trace_an': 0}
  • id: 257109028
    {'hecke_orbit_code': 108086391090449536, 'n': 29, 'trace_an': 6}
  • id: 257109029
    {'hecke_orbit_code': 108086391090449536, 'n': 30, 'trace_an': 0}
  • id: 257109030
    {'hecke_orbit_code': 108086391090449536, 'n': 31, 'trace_an': -10}
  • id: 257109031
    {'hecke_orbit_code': 108086391090449536, 'n': 32, 'trace_an': 0}
  • id: 257109032
    {'hecke_orbit_code': 108086391090449536, 'n': 33, 'trace_an': -9}
  • id: 257109033
    {'hecke_orbit_code': 108086391090449536, 'n': 34, 'trace_an': 0}
  • id: 257109034
    {'hecke_orbit_code': 108086391090449536, 'n': 35, 'trace_an': 0}
  • id: 257109035
    {'hecke_orbit_code': 108086391090449536, 'n': 36, 'trace_an': 0}
  • id: 257109036
    {'hecke_orbit_code': 108086391090449536, 'n': 37, 'trace_an': 0}
  • id: 257109037
    {'hecke_orbit_code': 108086391090449536, 'n': 38, 'trace_an': 0}
  • id: 257109038
    {'hecke_orbit_code': 108086391090449536, 'n': 39, 'trace_an': -6}
  • id: 257109039
    {'hecke_orbit_code': 108086391090449536, 'n': 40, 'trace_an': 0}
  • id: 257109040
    {'hecke_orbit_code': 108086391090449536, 'n': 41, 'trace_an': -11}
  • id: 257109041
    {'hecke_orbit_code': 108086391090449536, 'n': 42, 'trace_an': 0}
  • id: 257109042
    {'hecke_orbit_code': 108086391090449536, 'n': 43, 'trace_an': 4}
  • id: 257109043
    {'hecke_orbit_code': 108086391090449536, 'n': 44, 'trace_an': 0}
  • id: 257109044
    {'hecke_orbit_code': 108086391090449536, 'n': 45, 'trace_an': 0}
  • id: 257109045
    {'hecke_orbit_code': 108086391090449536, 'n': 46, 'trace_an': 0}
  • id: 257109046
    {'hecke_orbit_code': 108086391090449536, 'n': 47, 'trace_an': 2}
  • id: 257109047
    {'hecke_orbit_code': 108086391090449536, 'n': 48, 'trace_an': 0}
  • id: 257109048
    {'hecke_orbit_code': 108086391090449536, 'n': 49, 'trace_an': 9}
  • id: 257109049
    {'hecke_orbit_code': 108086391090449536, 'n': 50, 'trace_an': 0}
  • id: 257109050
    {'hecke_orbit_code': 108086391090449536, 'n': 51, 'trace_an': 9}
  • id: 257109051
    {'hecke_orbit_code': 108086391090449536, 'n': 52, 'trace_an': 0}
  • id: 257109052
    {'hecke_orbit_code': 108086391090449536, 'n': 53, 'trace_an': -14}
  • id: 257109053
    {'hecke_orbit_code': 108086391090449536, 'n': 54, 'trace_an': 0}
  • id: 257109054
    {'hecke_orbit_code': 108086391090449536, 'n': 55, 'trace_an': 0}
  • id: 257109055
    {'hecke_orbit_code': 108086391090449536, 'n': 56, 'trace_an': 0}
  • id: 257109056
    {'hecke_orbit_code': 108086391090449536, 'n': 57, 'trace_an': -21}
  • id: 257109057
    {'hecke_orbit_code': 108086391090449536, 'n': 58, 'trace_an': 0}
  • id: 257109058
    {'hecke_orbit_code': 108086391090449536, 'n': 59, 'trace_an': -4}
  • id: 257109059
    {'hecke_orbit_code': 108086391090449536, 'n': 60, 'trace_an': 0}
  • id: 257109060
    {'hecke_orbit_code': 108086391090449536, 'n': 61, 'trace_an': 8}
  • id: 257109061
    {'hecke_orbit_code': 108086391090449536, 'n': 62, 'trace_an': 0}
  • id: 257109062
    {'hecke_orbit_code': 108086391090449536, 'n': 63, 'trace_an': -24}
  • id: 257109063
    {'hecke_orbit_code': 108086391090449536, 'n': 64, 'trace_an': 0}
  • id: 257109064
    {'hecke_orbit_code': 108086391090449536, 'n': 65, 'trace_an': 0}
  • id: 257109065
    {'hecke_orbit_code': 108086391090449536, 'n': 66, 'trace_an': 0}
  • id: 257109066
    {'hecke_orbit_code': 108086391090449536, 'n': 67, 'trace_an': 5}
  • id: 257109067
    {'hecke_orbit_code': 108086391090449536, 'n': 68, 'trace_an': 0}
  • id: 257109068
    {'hecke_orbit_code': 108086391090449536, 'n': 69, 'trace_an': -18}
  • id: 257109069
    {'hecke_orbit_code': 108086391090449536, 'n': 70, 'trace_an': 0}
  • id: 257109070
    {'hecke_orbit_code': 108086391090449536, 'n': 71, 'trace_an': 2}
  • id: 257109071
    {'hecke_orbit_code': 108086391090449536, 'n': 72, 'trace_an': 0}
  • id: 257109072
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  • id: 257109073
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  • id: 257109074
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  • id: 257109075
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  • id: 257109076
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  • id: 257109077
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  • id: 257109078
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  • id: 257109079
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  • id: 257109080
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  • id: 257109081
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  • id: 257109082
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  • id: 257109083
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  • id: 257109084
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  • id: 257109085
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  • id: 257109086
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  • id: 257109087
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  • id: 257109088
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  • id: 257109089
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  • id: 257109090
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  • id: 257109091
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  • id: 257109092
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  • id: 257109093
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  • id: 257109094
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  • id: 257109095
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  • id: 257109096
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  • id: 257109097
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  • id: 257109098
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  • id: 257109099
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  • id: 257109100
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  • id: 257109101
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  • id: 257109102
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  • id: 257109103
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  • id: 257109104
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  • id: 257109105
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  • id: 257109106
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  • id: 257109107
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  • id: 257109108
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  • id: 257109109
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  • id: 257109110
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  • id: 257109111
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  • id: 257109112
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  • id: 257109113
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  • id: 257109114
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  • id: 257109115
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  • id: 257109116
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  • id: 257109117
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  • id: 257109118
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  • id: 257109119
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  • id: 257109120
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  • id: 257109121
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  • id: 257109122
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  • id: 257109123
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  • id: 257109124
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  • id: 257109125
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  • id: 257109126
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  • id: 257109127
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  • id: 257109128
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  • id: 257109129
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  • id: 257109130
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  • id: 257109131
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  • id: 257109132
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  • id: 257109133
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  • id: 257109134
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  • id: 257109135
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  • id: 257109136
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  • id: 257109137
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  • id: 257109138
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  • id: 257109139
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  • id: 257109140
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  • id: 257109141
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  • id: 257109142
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  • id: 257109143
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  • id: 257109144
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  • id: 257109145
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  • id: 257109146
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  • id: 257109147
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  • id: 257109148
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  • id: 257109149
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  • id: 257109150
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  • id: 257109151
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  • id: 257109152
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  • id: 257109153
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  • id: 257109154
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  • id: 257109155
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  • id: 257109156
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  • id: 257109157
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  • id: 257109158
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  • id: 257109159
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  • id: 257109160
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  • id: 257109161
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  • id: 257109162
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  • id: 257109163
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  • id: 257109164
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  • id: 257109165
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  • id: 257109166
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  • id: 257109167
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  • id: 257109168
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  • id: 257109169
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  • id: 257109170
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  • id: 257109171
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  • id: 257109172
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  • id: 257109173
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  • id: 257109174
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  • id: 257109175
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  • id: 257109176
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  • id: 257109177
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  • id: 257109178
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  • id: 257109179
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  • id: 257109180
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  • id: 257109181
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  • id: 257109182
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  • id: 257109183
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  • id: 257109184
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  • id: 257109185
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  • id: 257109186
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  • id: 257109187
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  • id: 257109188
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  • id: 257109189
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  • id: 257109190
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  • id: 257109191
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  • id: 257109192
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  • id: 257109193
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  • id: 257109194
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  • id: 257109195
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  • id: 257109196
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  • id: 257109197
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  • id: 257109198
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  • id: 257109199
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  • id: 257109200
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  • id: 257109201
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  • id: 257109202
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  • id: 257109203
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  • id: 257109204
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  • id: 257109205
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  • id: 257109206
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  • id: 257109207
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  • id: 257109208
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  • id: 257109209
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  • id: 257109210
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  • id: 257109211
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  • id: 257109212
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  • id: 257109213
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  • id: 257109214
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  • id: 257109215
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  • id: 257109216
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  • id: 257109217
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  • id: 257109218
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  • id: 257109219
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  • id: 257109220
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  • id: 257109221
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  • id: 257109222
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  • id: 257109223
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  • id: 257109224
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  • id: 257109225
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  • id: 257109226
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  • id: 257109227
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  • id: 257109228
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  • id: 257109229
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  • id: 257109230
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  • id: 257109231
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  • id: 257109232
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  • id: 257109233
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  • id: 257109234
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  • id: 257109235
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  • id: 257109236
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  • id: 257109237
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  • id: 257109238
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  • id: 257109239
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  • id: 257109240
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  • id: 257109241
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  • id: 257109242
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  • id: 257109243
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  • id: 257109244
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  • id: 257109245
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  • id: 257109246
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  • id: 257109247
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  • id: 257109248
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  • id: 257109249
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  • id: 257109250
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  • id: 257109251
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  • id: 257109252
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  • id: 257109253
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  • id: 257109254
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  • id: 257109255
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  • id: 257109256
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  • id: 257109257
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  • id: 257109258
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  • id: 257109259
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  • id: 257109260
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  • id: 257109261
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  • id: 257109262
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  • id: 257109263
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  • id: 257109264
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  • id: 257109265
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  • id: 257109266
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  • id: 257109267
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  • id: 257109658
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  • id: 257109844
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  • id: 257109847
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  • id: 257109848
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  • id: 257109849
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  • id: 257109852
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  • id: 257109853
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  • id: 257109854
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  • id: 257109856
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  • id: 257109858
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  • id: 257109860
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  • id: 257109861
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  • id: 257109862
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  • id: 257109863
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  • id: 257109864
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  • id: 257109865
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  • id: 257109866
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  • id: 257109868
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  • id: 257109869
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  • id: 257109870
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  • id: 257109871
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  • id: 257109872
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  • id: 257109873
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  • id: 257109877
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  • id: 257109881
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  • id: 257109882
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  • id: 257109883
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  • id: 257109888
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  • id: 257109889
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  • id: 257109890
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  • id: 257109891
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  • id: 257109892
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  • id: 257109893
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  • id: 257109894
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  • id: 257109896
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  • id: 257109897
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  • id: 257109900
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  • id: 257109902
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  • id: 257109903
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  • id: 257109908
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  • id: 257109910
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  • id: 257109911
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  • id: 257109912
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  • id: 257109917
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  • id: 257109918
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  • id: 257109919
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  • id: 257109920
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  • id: 257109921
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  • id: 257109922
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  • id: 257109946
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  • id: 257109950
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  • id: 257109951
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  • id: 257109952
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  • id: 257109953
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  • id: 257109954
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  • id: 257109958
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  • id: 257109960
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  • id: 257109970
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  • id: 257109972
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  • id: 257109980
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  • id: 257109981
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  • id: 257109986
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  • id: 257109987
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  • id: 257109988
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  • id: 257109989
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  • id: 257109990
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  • id: 257109993
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  • id: 257109994
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  • id: 257109995
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  • id: 257109996
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  • id: 257109999
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