Newform data - 2736.2.s.h

Formats: - HTML - YAML - JSON - 2024-04-23T13:48:32.451584

• 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': 10944, 'analytic_conductor': 21.847069993022313, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 19, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 19, 'char_orbit_label': 's', 'char_order': 3, 'char_parity': 1, 'char_values': [2736, 3, [1711, 2053, 1217, 1009], [3, 3, 3, 1]], 'cm_discs': [-3], 'conrey_index': 577, 'conrey_indexes': [577, 1873], 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [0, 1]], [7, [5, 1]], [11, [0, 1]], [13, [25, 5, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31526434375731888, 'hecke_ring_generator_nbound': 19, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, -3], [1, 1, 57, 8, -1, 6, 0], [1, 1, 19, 3, 1, 3, 0]], 'is_cm': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '2736.2.s.h', 'level': 2736, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 19], 'level_radical': 114, 'minimal_twist': '684.2.k.d', 'nf_label': '2.0.3.1', 'prim_orbit_index': 3, 'qexp_display': 'q-5q^{7}-5\\zeta_{6}q^{13}+(-3-2\\zeta_{6})q^{19}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.1.d3', 'self_twist_discs': [-3], 'self_twist_type': 1, 'space_label': '2736.2.s', 'trace_display': [0, 0, 0, -10], 'trace_hash': 1034064003528006972, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.960', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.392', 'prec': 17}, {'__RealLiteral__': 0, 'data': '18.031', 'prec': 20}, {'__RealLiteral__': 0, 'data': '6.191', 'prec': 17}, {'__RealLiteral__': 0, 'data': '223.932', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.509', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, -13, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, -17, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -11, 0, 0, 0, 0, 0, 50, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -25, 0, 0, 0, 0, 0, -26, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29, 0, 0, 0, 0, 0, -70, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -110, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 65, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -29, 0, 0, 0, 0, 0, -110, 0, 0, 0, 0, 0, -74, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 74, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -35, 0, 0, 0, 0, 0, -35, 0, 0, 0, 0, 0, -38, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, 37, 0, 0, 0, 0, 0, -13, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 82, 0, 0, 0, 0, 0, -46, 0, 0, 0, 0, 0, -55, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, -55, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -43, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 85, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -43, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, -85, 0, 0, 0, 0, 0, 130, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 62, 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-2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 67, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, -41, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -53, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 130, 0, 0, 0, 0, 0, -11, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 134, 0, 0, 0, 0, 0, 25, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -91, 0, 0, 0, 0, 0, -35, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -125, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43, 0, 0, 0, 0, 0, 119, 0, 0, 0, 0, 0, -85, 0, 0, 0, 0, 0, 122, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 53, 0, 0, 0, 0, 0, 13, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, -65, 0, 0, 0, 0, 0, -73, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, -145, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -86, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -119, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 98, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -98, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 34, 0, 0, 0, 0, 0, -73, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -23, 0, 0, 0, 0, 0, -260, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 170, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 98, 0, 0, 0, 0, 0, 70, 0, 0, 0, 0, 0, -37, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [-5, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, -5], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [-3, -2], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 5], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [7, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [11, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [-13, 13], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [18, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 1], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 11], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [-17, 17], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [17, -17], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 25], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [-14, 14], [0, 0], [0, 0], [0, 0]], 'ap': [[0, 0], [0, 0], [0, 0], [-5, 0], [0, 0], [0, -5], [0, 0], [-3, -2], [0, 0], [0, 0], [7, 0], [11, 0], [0, 0], [-13, 13], [0, 0], [0, 0], [0, 0], [0, 1], [0, 11], [0, 0], [-17, 17], [17, -17], [0, 0], [0, 0], [-14, 14], [0, 0], [7, 0], [0, 0], [-2, 2], [0, 0], [0, 20], [0, 0], [0, 0], [0, -7], [0, 0], [4, 0], [-11, 11], [25, 0], [0, 0], [0, 0], [0, 0], [0, -26], [0, 0], [25, -25], [0, 0], [0, 17], [29, -29], [5, -5], [0, 0], [-7, 0], [0, 0], [0, 0], [0, 31], [0, 0], [0, 0], [0, 0], [0, 0], [-28, 28], [26, 0], [0, 0], [32, -32], [0, 0], [-16, 16], [0, 0], [0, 22], [0, 0], [1, 0], [-29, 29], [0, 0], [-37, 0], [0, 0], [0, 0], [0, 35], [38, 0], [37, 0], [0, 0], [0, 0], [-35, 35], [0, 0], [0, -38], [0, 0], [22, -22], [0, 0], [0, 37], [-13, 13], [0, 0], [0, 0], [41, 0], [0, 0], [-23, 0], [0, 0], [0, 0], [-44, 0], [0, 0], [-43, 43], [0, 0], [0, 0], [0, 0], [0, -43], [0, -29], [0, -1], [0, 0], [0, 0], [0, 0], [31, 0], [-46, 0], [0, 0], [0, 0], [0, 0], [-49, 0], [-29, 0], [10, -10], [0, 0], [-17, 0], [0, -43], [0, 0], [-7, 7], [0, 0], [0, 0], [0, 0], [0, -38], [-13, 0], [0, 0], [0, 0], [-8, 0], [0, 0], [0, 31], [0, 0], [5, -5], [50, 0], [-37, 37], [0, 0], [0, 41], [-29, 29], [0, 0], [0, 49], [0, 0], [31, 0], [0, 0], [0, 0], [0, 56], [0, 0], [0, -52], [0, 0], [53, 0], [0, 0], [-23, 23], [0, 0], [0, -13], [0, 0], [-59, 59], [0, 0], [0, 47], [0, 0], [-40, 40], [0, 0], [1, 0], [0, 0], [0, 61], [0, 0], [0, 0], [0, 0], [-61, 61], [0, 0], [0, 0], [0, 0], [-61, 61], [0, -59], [-62, 62], [0, 0], [0, 0], [61, -61], [0, 0], [53, 0], [0, -7], [0, 0], [0, 23], [0, 0], [-65, 0], [49, -49], [0, -4], [0, 0], [0, -65], [0, 0], [0, 0], [0, 0], [0, 46], [35, -35], [38, 0], [0, 0], [0, 7], [0, 0], [-11, 0], [0, 0], [0, 0], [0, 0], [0, -2], [67, -67], [0, 0], [0, 0], [0, 0], [0, 68], [-41, 41], [-53, 53], [0, 0], [0, 0], [0, -28], [0, 0], [0, 0], [67, 0], [25, -25], [0, 0], [13, 0], [0, 0], [0, 0], [0, 49], [-4, 4], [0, 0], [0, 0], [0, 0], [0, 43], [61, 0], [0, 0], [53, -53], [0, 0], [0, 13], [0, 0], [0, 0], [-76, 76], [0, 0], [0, -65], [0, -73], [76, 0], [0, 0], [40, 0], [0, 0], [-43, 0], [0, 0], [0, 0], [0, 0], [0, 0], [64, 0], [0, 77], [0, 73], [0, 0], [0, 0], [0, 44], [0, 0], [-79, 79], [0, 0], [29, 0], [0, 0], [0, 0], [0, 58], [0, 0], [0, 0], [0, -53], [31, 0], [0, 0], [0, -71], [0, 5], [0, 0], [7, -7], [-35, 35], [0, 0], [13, 0], [0, 0], [0, 0], [0, -43], [0, 0], [83, 0], [-80, 0], [10, -10], [52, 0], [0, 79], [-55, 55], [0, 0], [-23, 23], [0, 1], [0, 0], [0, 0], [-68, 0], [0, 0], [-49, 0], [56, -56], [0, 0], [17, 0], [0, 0], [-73, 73], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [-23, 23], [0, 0], [0, -76], [0, 0], [0, 0], [49, 0], [70, -70], [0, 0], [0, -37]], 'char_orbit_index': 19, 'field_poly': [1, -1, 1], 'hecke_orbit_code': 31526434375731888, 'hecke_ring_character_values': [[1711, [1, 0]], [2053, [1, 0]], [1217, [1, 0]], [1009, [0, -1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '2736.2.s.h', 'level': 2736, 'maxp': 1999, '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

  
  {'Nk2': 10944, 'analytic_conductor': 21.847069993022313, 'char_conductor': 19, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 19, 'char_orbit_label': 's', 'char_order': 3, 'char_parity': 1, 'char_values': [2736, 3, [1711, 2053, 1217, 1009], [3, 3, 3, 1]], 'conrey_index': 577, 'cusp_dim': 912, 'dim': 98, 'eis_dim': 96, 'eis_new_dim': 4, 'hecke_cutter_primes': [5, 7, 11, 13], 'hecke_orbit_code': 1236984138416, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6, 6, 8, 8, 8], 'label': '2736.2.s', 'level': 2736, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 19], 'level_radical': 114, 'mf_dim': 1008, 'mf_new_dim': 102, 'num_forms': 29, 'prim_orbit_index': 3, 'relative_dim': 49, 'sturm_bound': 960, 'trace_bound': 13, 'trace_display': [0, 0, 1, 0], 'traces': [98, 0, 0, 0, 1, 0, 0, 0, 0, 0, -4, 0, -1, 0, 0, 0, 5, 0, 10, 0, 0, 0, 5, 0, -46, 0, 0, 0, 1, 0, 32, 0, 0, 0, -12, 0, -4, 0, 0, 0, 7, 0, -3, 0, 0, 0, 5, 0, 66, 0, 0, 0, 5, 0, 24, 0, 0, 0, -19, 0, -13, 0, 0, 0, 26, 0, 9, 0, 0, 0, 7, 0, 9, 0, 0, 0, 24, 0, 13, 0, 0, 0, -60, 0, 9, 0, 0, 0, 13, 0, -12, 0, 0, 0, 65, 0, 1, 0, 0, 0, -7, 0, 32, 0, 0, 0, 64, 0, -1, 0, 0, 0, -8, 0, -66, 0, 0, 0, 8, 0, 54, 0, 0, 0, 42, 0, -13, 0, 0, 0, 25, 0, 20, 0, 0, 0, -9, 0, 33, 0, 0, 0, -8, 0, 38, 0, 0, 0, -7, 0, 48, 0, 0, 0, 8, 0, 19, 0, 0, 0, 16, 0, 4, 0, 0, 0, -3, 0, -22, 0, 0, 0, 17, 0, 24, 0, 0, 0, 76, 0, -1, 0, 0, 0, -6, 0, 64, 0, 0, 0, -120, 0, 7, 0, 0, 0, 20, 0, -29, 0, 0, 0, -56, 0, -11, 0, 0, 0, 62, 0, 41, 0, 0, 0, 69, 0, 0, 0, 0, 0, -78, 0, 17, 0, 0, 0, 116, 0, -20, 0, 0, 0, 35, 0, 134, 0, 0, 0, 32, 0, 41, 0, 0, 0, -15, 0, -51, 0, 0, 0, 19, 0, -20, 0, 0, 0, -1, 0, 56, 0, 0, 0, 59, 0, -50, 0, 0, 0, -23, 0, -39, 0, 0, 0, 26, 0, 4, 0, 0, 0, 7, 0, 11, 0, 0, 0, 68, 0, -2, 0, 0, 0, -4, 0, 19, 0, 0, 0, 27, 0, -32, 0, 0, 0, -46, 0, 55, 0, 0, 0, 200, 0, -23, 0, 0, 0, -15, 0, 32, 0, 0, 0, -79, 0, 32, 0, 0, 0, 0, 0, -12, 0, 0, 0, -126, 0, -27, 0, 0, 0, 160, 0, -72, 0, 0, 0, -47, 0, -84, 0, 0, 0, 40, 0, 71, 0, 0, 0, -77, 0, 32, 0, 0, 0, -25, 0, -33, 0, 0, 0, 4, 0, 4, 0, 0, 0, -13, 0, -160, 0, 0, 0, 3, 0, 0, 0, 0, 0, -39, 0, -58, 0, 0, 0, -19, 0, -45, 0, 0, 0, 7, 0, -8, 0, 0, 0, -272, 0, -35, 0, 0, 0, 36, 0, -44, 0, 0, 0, 120, 0, -61, 0, 0, 0, -128, 0, -20, 0, 0, 0, 121, 0, -25, 0, 0, 0, -73, 0, -123, 0, 0, 0, -129, 0, -82, 0, 0, 0, -96, 0, -66, 0, 0, 0, -184, 0, 40, 0, 0, 0, -91, 0, -216, 0, 0, 0, 36, 0, -36, 0, 0, 0, -12, 0, -102, 0, 0, 0, -79, 0, 30, 0, 0, 0, 51, 0, 32, 0, 0, 0, -57, 0, 46, 0, 0, 0, -96, 0, 47, 0, 0, 0, -31, 0, -10, 0, 0, 0, -75, 0, 128, 0, 0, 0, -172, 0, 40, 0, 0, 0, -104, 0, -13, 0, 0, 0, -132, 0, -20, 0, 0, 0, 10, 0, -4, 0, 0, 0, -468, 0, -37, 0, 0, 0, -65, 0, 151, 0, 0, 0, 79, 0, -88, 0, 0, 0, 41, 0, 266, 0, 0, 0, 116, 0, -42, 0, 0, 0, 148, 0, -172, 0, 0, 0, 104, 0, -8, 0, 0, 0, -104, 0, -80, 0, 0, 0, 67, 0, -88, 0, 0, 0, 19, 0, 8, 0, 0, 0, -55, 0, 40, 0, 0, 0, 57, 0, -16, 0, 0, 0, -33, 0, -53, 0, 0, 0, 35, 0, -128, 0, 0, 0, 48, 0, -15, 0, 0, 0, -62, 0, 11, 0, 0, 0, 370, 0, -41, 0, 0, 0, 19, 0, -117, 0, 0, 0, -56, 0, -18, 0, 0, 0, -28, 0, 103, 0, 0, 0, -199, 0, -25, 0, 0, 0, -192, 0, 9, 0, 0, 0, 168, 0, -52, 0, 0, 0, 140, 0, 44, 0, 0, 0, 152, 0, -10, 0, 0, 0, -113, 0, 120, 0, 0, 0, -70, 0, -7, 0, 0, 0, 29, 0, -192, 0, 0, 0, 132, 0, -9, 0, 0, 0, 44, 0, -440, 0, 0, 0, 67, 0, 96, 0, 0, 0, 72, 0, 41, 0, 0, 0, 77, 0, -132, 0, 0, 0, -42, 0, -49, 0, 0, 0, 139, 0, 73, 0, 0, 0, 112, 0, -1, 0, 0, 0, 216, 0, 71, 0, 0, 0, -32, 0, -48, 0, 0, 0, 406, 0, -41, 0, 0, 0, 101, 0, 4, 0, 0, 0, -87, 0, -32, 0, 0, 0, -21, 0, -172, 0, 0, 0, -264, 0, 57, 0, 0, 0, -220, 0, 174, 0, 0, 0, -98, 0, 0, 0, 0, 0, -32, 0, 95, 0, 0, 0, -124, 0, -31, 0, 0, 0, -95, 0, -225, 0, 0, 0, 63, 0, 180, 0, 0, 0, 85, 0, -266, 0, 0, 0, 27, 0, -86, 0, 0, 0, 24, 0, 216, 0, 0, 0, -90, 0, -1, 0, 0, 0, 19, 0, -159, 0, 0, 0, -368, 0, -27, 0, 0, 0, 52, 0, -247, 0, 0, 0, -16, 0, 35, 0, 0, 0, 104, 0, 85, 0, 0, 0, 165, 0, -56, 0, 0, 0, 215, 0, -32, 0, 0, 0, -300, 0, -58, 0, 0, 0, 82, 0, -153, 0, 0, 0, -80, 0, -4, 0, 0, 0, 100, 0, -144, 0, 0, 0, 118, 0, 96, 0, 0, 0, 59, 0, 274, 0, 0, 0, -212, 0, 73, 0, 0, 0, -51, 0, -250, 0, 0, 0, -69, 0, -258, 0, 0, 0, 131, 0, 136, 0, 0, 0, -40, 0, 34, 0, 0, 0, 67, 0, -95, 0, 0, 0, -171, 0, 20, 0, 0, 0, 64, 0, -56, 0, 0, 0, -305, 0, 102, 0, 0, 0, -154, 0, -59, 0, 0, 0, -558, 0, 11, 0, 0, 0, 200, 0, -25, 0, 0, 0, 319, 0, -125, 0, 0, 0, 37, 0, 352, 0, 0, 0, 260, 0, -33, 0, 0, 0, -252, 0, 234, 0, 0, 0, 143, 0, 168, 0, 0, 0, 10, 0, -45, 0, 0, 0, 40, 0, -68, 0, 0, 0, -25, 0, 125, 0, 0, 0, -63, 0, -80, 0, 0, 0, 17, 0, 280, 0, 0, 0, -46, 0, 7, 0, 0, 0, 82, 0, 64, 0, 0, 0, 116, 0, 129, 0, 0, 0, 0, 0, 55, 0, 0, 0, 616, 0, -141, 0, 0, 0, 3, 0, 124, 0, 0, 0, -40, 0, 151, 0, 0, 0, -140, 0, 40, 0, 0, 0, -127, 0, -21, 0, 0, 0, 151, 0, 305, 0, 0, 0, 393, 0, 80, 0, 0, 0, 24, 0, 264, 0, 0, 0, 210, 0, -24, 0, 0, 0, 154, 0, 600, 0, 0, 0, -136, 0, 13, 0, 0, 0, -169, 0, 145, 0, 0, 0, 277, 0, 93, 0, 0, 0, -56, 0, -84, 0, 0, 0, 204, 0, -160, 0, 0, 0, -159, 0, -116, 0, 0, 0, 115, 0, 118, 0, 0, 0, 25, 0, -140, 0, 0, 0, 292, 0, -79, 0, 0, 0, -134, 0, -13, 0, 0, 0, 336, 0, -9, 0, 0, 0, 152, 0, -171, 0, 0, 0, 472, 0, 58, 0, 0, 0, -203, 0, -285, 0, 0, 0, -368, 0, 11, 0, 0, 0, 27, 0, -316, 0, 0, 0, -242, 0, 101, 0, 0, 0, 184, 0, 190, 0, 0, 0, -71, 0, 86, 0, 0, 0, 72, 0, 112, 0, 0, 0, -100, 0, 195, 0, 0, 0, 121, 0, -125, 0, 0, 0, 111, 0, 110, 0, 0, 0, -65, 0, 204, 0, 0, 0, -108, 0, 161, 0, 0, 0, -75, 0, 96, 0, 0, 0, -109, 0, 56, 0, 0, 0, -5, 0, -141, 0, 0, 0, -624, 0, 75, 0, 0, 0, -136, 0, 97, 0, 0, 0, 12, 0, -44, 0, 0, 0, -96, 0, -268, 0, 0, 0, 181, 0, 73, 0, 0, 0, -281, 0, 28, 0, 0, 0, -459, 0, -22, 0, 0, 0, 36, 0, -131, 0, 0, 0, -112, 0, 110, 0, 0, 0, -111, 0, -456, 0, 0, 0, 80, 0, -93, 0, 0, 0, -14, 0, 399, 0, 0, 0, -272, 0, -32, 0, 0, 0, 8, 0, 704, 0, 0, 0, -169, 0, 366, 0, 0, 0, -85, 0, -76, 0, 0, 0, -87, 0, 206, 0, 0, 0, 153, 0, 129, 0, 0, 0, -251, 0, 75, 0, 0, 0, -120, 0, -152, 0, 0, 0, -341, 0, -6, 0, 0, 0, -200, 0, -43, 0, 0, 0, -568, 0, -57, 0, 0, 0, -156, 0, 37, 0, 0, 0, 292, 0, 14, 0, 0, 0, -70, 0, 272, 0, 0, 0, 420, 0, -96, 0, 0, 0, 360, 0, 12, 0, 0, 0, 175, 0, -32, 0, 0, 0, 140, 0, -73, 0, 0, 0, 97, 0, -191, 0, 0, 0, -16, 0, 486, 0, 0, 0, -63, 0, -186, 0, 0, 0, 162, 0, 376, 0, 0, 0, 133, 0, -80, 0, 0, 0, -78, 0, -4, 0, 0, 0, 293, 0, -39, 0, 0, 0, -21, 0, 307, 0, 0, 0, 1008, 0, -1, 0, 0, 0, -87, 0, 348, 0, 0, 0, -112, 0, -64, 0, 0, 0, 458, 0, -93, 0, 0, 0, -221, 0, -177, 0, 0, 0, -218, 0, 115, 0, 0, 0, 369, 0, -154, 0, 0, 0, -104, 0, 254, 0, 0, 0, 424, 0, 164, 0, 0, 0, -207, 0, 200, 0, 0, 0, 0, 0, -159, 0, 0, 0, 77, 0, -497, 0, 0, 0, 277, 0, -25, 0, 0, 0, 157, 0, 508, 0, 0, 0, 264, 0, 250, 0, 0, 0, 161, 0, -164, 0, 0, 0, 128, 0, 608, 0, 0, 0, -113, 0, 209, 0, 0, 0, 404, 0, -81, 0, 0, 0, 432, 0, -29, 0, 0, 0, 401, 0, 103, 0, 0, 0, -128, 0, 218, 0, 0, 0, 650, 0, -24, 0, 0, 0, 123, 0, 232, 0, 0, 0, -261, 0, -101, 0, 0, 0, -1, 0, -228, 0, 0, 0, -234, 0, -120, 0, 0, 0, -148, 0, -598, 0, 0, 0, -228, 0, 318, 0, 0, 0, 160, 0, 71, 0, 0, 0, -188, 0, -128, 0, 0, 0, -35, 0, -205, 0, 0, 0, -18, 0, -100, 0, 0, 0, 178, 0, -168, 0, 0, 0, 8, 0, -35, 0, 0, 0, 124, 0, -136, 0, 0, 0, -259, 0, 246, 0, 0, 0, -129, 0, -88, 0, 0, 0, -936, 0, 207, 0, 0, 0, 59, 0, -163, 0, 0, 0, 28, 0, 151, 0, 0, 0, -36, 0, -61, 0, 0, 0, 336, 0, 117, 0, 0, 0, 253, 0, -459, 0, 0, 0, -499, 0, 60, 0, 0, 0, -26, 0, -268, 0, 0, 0, -464, 0, -204, 0, 0, 0, 236, 0, -616, 0, 0, 0, 50, 0, 116, 0, 0, 0, 104, 0, -201, 0, 0, 0, -183, 0, -128, 0, 0, 0, -93, 0, 320, 0, 0, 0, -302, 0, -124, 0, 0, 0, 14, 0, 149, 0, 0, 0, -199, 0, -240, 0, 0, 0, -7, 0, 245, 0, 0, 0, -464, 0, -117, 0, 0, 0, 228, 0, -16, 0, 0, 0, -504, 0, 0, 0, 0, 0, 468, 0, 328, 0, 0, 0, -808, 0, 56, 0, 0, 0, 171, 0, 423, 0, 0, 0, 259, 0, -2, 0, 0, 0, -108, 0, 838, 0, 0, 0, 448, 0, 231, 0, 0, 0, -590, 0, -416, 0, 0, 0, 91, 0, 14, 0, 0, 0, -84, 0, -249, 0, 0, 0, 189, 0, 172, 0, 0, 0, -30, 0, 120, 0, 0, 0, -184, 0, -380, 0, 0, 0, -251, 0, -368, 0, 0, 0, -57, 0, 204, 0, 0, 0, 179, 0, -300, 0, 0, 0, 284, 0, -111, 0, 0, 0, -27, 0, 263, 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: 992082
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '2736.2.s.h', 'source_level': 2736, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '684.2.k.d', 'target_level': 684, 'twist_class_label': '684.2.k.d', 'twist_class_level': 684, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 992083
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '2736.2.s.h', 'source_level': 2736, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '684.2.k.d', 'target_level': 684, 'twist_class_label': '684.2.k.d', 'twist_class_level': 684, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 992084
    {'conductor': 76, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '2736.2.s.h', 'source_level': 2736, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '684.2.k.d', 'target_level': 684, 'twist_class_label': '684.2.k.d', 'twist_class_level': 684, 'twisting_char_label': '76.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 992085
    {'conductor': 228, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '2736.2.s.h', 'source_level': 2736, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '684.2.k.d', 'target_level': 684, 'twist_class_label': '684.2.k.d', 'twist_class_level': 684, 'twisting_char_label': '228.m', 'twisting_char_orbit': 13, 'weight': 2}
  • id: 992086
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '2736.2.s.h', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '2736.2.s.h', 'target_level': 2736, 'twist_class_label': '684.2.k.d', 'twist_class_level': 684, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 992087
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -3, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '2736.2.s.h', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '2736.2.s.h', 'target_level': 2736, 'twist_class_label': '684.2.k.d', 'twist_class_level': 684, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 992088
    {'conductor': 19, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '2736.2.s.h', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '2736.2.s.h', 'target_level': 2736, 'twist_class_label': '684.2.k.d', 'twist_class_level': 684, 'twisting_char_label': '19.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 992089
    {'conductor': 57, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '2736.2.s.h', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '2736.2.s.h', 'target_level': 2736, 'twist_class_label': '684.2.k.d', 'twist_class_level': 684, 'twisting_char_label': '57.h', 'twisting_char_orbit': 8, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2823800
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 2}
  • id: 2823801
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 3}
  • id: 2823802
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 5}
  • id: 2823803
    {'charpoly_factorization': [[[5, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 7}
  • id: 2823804
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 11}
  • id: 2823805
    {'charpoly_factorization': [[[25, 5, 1], 1]], 'hecke_orbit_code': 31526434375731888, 'p': 13}
  • id: 2823806
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 17}
  • id: 2823807
    {'charpoly_factorization': [[[19, 8, 1], 1]], 'hecke_orbit_code': 31526434375731888, 'p': 19}
  • id: 2823808
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 23}
  • id: 2823809
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 29}
  • id: 2823810
    {'charpoly_factorization': [[[-7, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 31}
  • id: 2823811
    {'charpoly_factorization': [[[-11, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 37}
  • id: 2823812
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 41}
  • id: 2823813
    {'charpoly_factorization': [[[169, 13, 1], 1]], 'hecke_orbit_code': 31526434375731888, 'p': 43}
  • id: 2823814
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 47}
  • id: 2823815
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 53}
  • id: 2823816
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 59}
  • id: 2823817
    {'charpoly_factorization': [[[1, -1, 1], 1]], 'hecke_orbit_code': 31526434375731888, 'p': 61}
  • id: 2823818
    {'charpoly_factorization': [[[121, -11, 1], 1]], 'hecke_orbit_code': 31526434375731888, 'p': 67}
  • id: 2823819
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 71}
  • id: 2823820
    {'charpoly_factorization': [[[289, 17, 1], 1]], 'hecke_orbit_code': 31526434375731888, 'p': 73}
  • id: 2823821
    {'charpoly_factorization': [[[289, -17, 1], 1]], 'hecke_orbit_code': 31526434375731888, 'p': 79}
  • id: 2823822
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 83}
  • id: 2823823
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31526434375731888, 'p': 89}
  • id: 2823824
    {'charpoly_factorization': [[[196, 14, 1], 1]], 'hecke_orbit_code': 31526434375731888, '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': 19, 'hecke_orbit': 8, 'label': '2736.2.s.h', 'level': 2736, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 194644000
    {'hecke_orbit_code': 31526434375731888, 'n': 1, 'trace_an': 2}
  • id: 194644001
    {'hecke_orbit_code': 31526434375731888, 'n': 2, 'trace_an': 0}
  • id: 194644002
    {'hecke_orbit_code': 31526434375731888, 'n': 3, 'trace_an': 0}
  • id: 194644003
    {'hecke_orbit_code': 31526434375731888, 'n': 4, 'trace_an': 0}
  • id: 194644004
    {'hecke_orbit_code': 31526434375731888, 'n': 5, 'trace_an': 0}
  • id: 194644005
    {'hecke_orbit_code': 31526434375731888, 'n': 6, 'trace_an': 0}
  • id: 194644006
    {'hecke_orbit_code': 31526434375731888, 'n': 7, 'trace_an': -10}
  • id: 194644007
    {'hecke_orbit_code': 31526434375731888, 'n': 8, 'trace_an': 0}
  • id: 194644008
    {'hecke_orbit_code': 31526434375731888, 'n': 9, 'trace_an': 0}
  • id: 194644009
    {'hecke_orbit_code': 31526434375731888, 'n': 10, 'trace_an': 0}
  • id: 194644010
    {'hecke_orbit_code': 31526434375731888, 'n': 11, 'trace_an': 0}
  • id: 194644011
    {'hecke_orbit_code': 31526434375731888, 'n': 12, 'trace_an': 0}
  • id: 194644012
    {'hecke_orbit_code': 31526434375731888, 'n': 13, 'trace_an': -5}
  • id: 194644013
    {'hecke_orbit_code': 31526434375731888, 'n': 14, 'trace_an': 0}
  • id: 194644014
    {'hecke_orbit_code': 31526434375731888, 'n': 15, 'trace_an': 0}
  • id: 194644015
    {'hecke_orbit_code': 31526434375731888, 'n': 16, 'trace_an': 0}
  • id: 194644016
    {'hecke_orbit_code': 31526434375731888, 'n': 17, 'trace_an': 0}
  • id: 194644017
    {'hecke_orbit_code': 31526434375731888, 'n': 18, 'trace_an': 0}
  • id: 194644018
    {'hecke_orbit_code': 31526434375731888, 'n': 19, 'trace_an': -8}
  • id: 194644019
    {'hecke_orbit_code': 31526434375731888, 'n': 20, 'trace_an': 0}
  • id: 194644020
    {'hecke_orbit_code': 31526434375731888, 'n': 21, 'trace_an': 0}
  • id: 194644021
    {'hecke_orbit_code': 31526434375731888, 'n': 22, 'trace_an': 0}
  • id: 194644022
    {'hecke_orbit_code': 31526434375731888, 'n': 23, 'trace_an': 0}
  • id: 194644023
    {'hecke_orbit_code': 31526434375731888, 'n': 24, 'trace_an': 0}
  • id: 194644024
    {'hecke_orbit_code': 31526434375731888, 'n': 25, 'trace_an': 5}
  • id: 194644025
    {'hecke_orbit_code': 31526434375731888, 'n': 26, 'trace_an': 0}
  • id: 194644026
    {'hecke_orbit_code': 31526434375731888, 'n': 27, 'trace_an': 0}
  • id: 194644027
    {'hecke_orbit_code': 31526434375731888, 'n': 28, 'trace_an': 0}
  • id: 194644028
    {'hecke_orbit_code': 31526434375731888, 'n': 29, 'trace_an': 0}
  • id: 194644029
    {'hecke_orbit_code': 31526434375731888, 'n': 30, 'trace_an': 0}
  • id: 194644030
    {'hecke_orbit_code': 31526434375731888, 'n': 31, 'trace_an': 14}
  • id: 194644031
    {'hecke_orbit_code': 31526434375731888, 'n': 32, 'trace_an': 0}
  • id: 194644032
    {'hecke_orbit_code': 31526434375731888, 'n': 33, 'trace_an': 0}
  • id: 194644033
    {'hecke_orbit_code': 31526434375731888, 'n': 34, 'trace_an': 0}
  • id: 194644034
    {'hecke_orbit_code': 31526434375731888, 'n': 35, 'trace_an': 0}
  • id: 194644035
    {'hecke_orbit_code': 31526434375731888, 'n': 36, 'trace_an': 0}
  • id: 194644036
    {'hecke_orbit_code': 31526434375731888, 'n': 37, 'trace_an': 22}
  • id: 194644037
    {'hecke_orbit_code': 31526434375731888, 'n': 38, 'trace_an': 0}
  • id: 194644038
    {'hecke_orbit_code': 31526434375731888, 'n': 39, 'trace_an': 0}
  • id: 194644039
    {'hecke_orbit_code': 31526434375731888, 'n': 40, 'trace_an': 0}
  • id: 194644040
    {'hecke_orbit_code': 31526434375731888, 'n': 41, 'trace_an': 0}
  • id: 194644041
    {'hecke_orbit_code': 31526434375731888, 'n': 42, 'trace_an': 0}
  • id: 194644042
    {'hecke_orbit_code': 31526434375731888, 'n': 43, 'trace_an': -13}
  • id: 194644043
    {'hecke_orbit_code': 31526434375731888, 'n': 44, 'trace_an': 0}
  • id: 194644044
    {'hecke_orbit_code': 31526434375731888, 'n': 45, 'trace_an': 0}
  • id: 194644045
    {'hecke_orbit_code': 31526434375731888, 'n': 46, 'trace_an': 0}
  • id: 194644046
    {'hecke_orbit_code': 31526434375731888, 'n': 47, 'trace_an': 0}
  • id: 194644047
    {'hecke_orbit_code': 31526434375731888, 'n': 48, 'trace_an': 0}
  • id: 194644048
    {'hecke_orbit_code': 31526434375731888, 'n': 49, 'trace_an': 36}
  • id: 194644049
    {'hecke_orbit_code': 31526434375731888, 'n': 50, 'trace_an': 0}
  • id: 194644050
    {'hecke_orbit_code': 31526434375731888, 'n': 51, 'trace_an': 0}
  • id: 194644051
    {'hecke_orbit_code': 31526434375731888, 'n': 52, 'trace_an': 0}
  • id: 194644052
    {'hecke_orbit_code': 31526434375731888, 'n': 53, 'trace_an': 0}
  • id: 194644053
    {'hecke_orbit_code': 31526434375731888, 'n': 54, 'trace_an': 0}
  • id: 194644054
    {'hecke_orbit_code': 31526434375731888, 'n': 55, 'trace_an': 0}
  • id: 194644055
    {'hecke_orbit_code': 31526434375731888, 'n': 56, 'trace_an': 0}
  • id: 194644056
    {'hecke_orbit_code': 31526434375731888, 'n': 57, 'trace_an': 0}
  • id: 194644057
    {'hecke_orbit_code': 31526434375731888, 'n': 58, 'trace_an': 0}
  • id: 194644058
    {'hecke_orbit_code': 31526434375731888, 'n': 59, 'trace_an': 0}
  • id: 194644059
    {'hecke_orbit_code': 31526434375731888, 'n': 60, 'trace_an': 0}
  • id: 194644060
    {'hecke_orbit_code': 31526434375731888, 'n': 61, 'trace_an': 1}
  • id: 194644061
    {'hecke_orbit_code': 31526434375731888, 'n': 62, 'trace_an': 0}
  • id: 194644062
    {'hecke_orbit_code': 31526434375731888, 'n': 63, 'trace_an': 0}
  • id: 194644063
    {'hecke_orbit_code': 31526434375731888, 'n': 64, 'trace_an': 0}
  • id: 194644064
    {'hecke_orbit_code': 31526434375731888, 'n': 65, 'trace_an': 0}
  • id: 194644065
    {'hecke_orbit_code': 31526434375731888, 'n': 66, 'trace_an': 0}
  • id: 194644066
    {'hecke_orbit_code': 31526434375731888, 'n': 67, 'trace_an': 11}
  • id: 194644067
    {'hecke_orbit_code': 31526434375731888, 'n': 68, 'trace_an': 0}
  • id: 194644068
    {'hecke_orbit_code': 31526434375731888, 'n': 69, 'trace_an': 0}
  • id: 194644069
    {'hecke_orbit_code': 31526434375731888, 'n': 70, 'trace_an': 0}
  • id: 194644070
    {'hecke_orbit_code': 31526434375731888, 'n': 71, 'trace_an': 0}
  • id: 194644071
    {'hecke_orbit_code': 31526434375731888, 'n': 72, 'trace_an': 0}
  • id: 194644072
    {'hecke_orbit_code': 31526434375731888, 'n': 73, 'trace_an': -17}
  • id: 194644073
    {'hecke_orbit_code': 31526434375731888, 'n': 74, 'trace_an': 0}
  • id: 194644074
    {'hecke_orbit_code': 31526434375731888, 'n': 75, 'trace_an': 0}
  • id: 194644075
    {'hecke_orbit_code': 31526434375731888, 'n': 76, 'trace_an': 0}
  • id: 194644076
    {'hecke_orbit_code': 31526434375731888, 'n': 77, 'trace_an': 0}
  • id: 194644077
    {'hecke_orbit_code': 31526434375731888, 'n': 78, 'trace_an': 0}
  • id: 194644078
    {'hecke_orbit_code': 31526434375731888, 'n': 79, 'trace_an': 17}
  • id: 194644079
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  • id: 194644080
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  • id: 194644081
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  • id: 194644082
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  • id: 194644083
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  • id: 194644084
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  • id: 194644085
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  • id: 194644086
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  • id: 194644087
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  • id: 194644088
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  • id: 194644089
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  • id: 194644090
    {'hecke_orbit_code': 31526434375731888, 'n': 91, 'trace_an': 25}
  • id: 194644091
    {'hecke_orbit_code': 31526434375731888, 'n': 92, 'trace_an': 0}
  • id: 194644092
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  • id: 194644093
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  • id: 194644094
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  • id: 194644095
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  • id: 194644096
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  • id: 194644097
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  • id: 194644098
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  • id: 194644099
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  • id: 194644100
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  • id: 194644101
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  • id: 194644102
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  • id: 194644103
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  • id: 194644104
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  • id: 194644105
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  • id: 194644106
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  • id: 194644107
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  • id: 194644108
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  • id: 194644109
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  • id: 194644110
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  • id: 194644111
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  • id: 194644112
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  • id: 194644113
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  • id: 194644114
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  • id: 194644115
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  • id: 194644116
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  • id: 194644117
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  • id: 194644118
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  • id: 194644119
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  • id: 194644120
    {'hecke_orbit_code': 31526434375731888, 'n': 121, 'trace_an': -22}
  • id: 194644121
    {'hecke_orbit_code': 31526434375731888, 'n': 122, 'trace_an': 0}
  • id: 194644122
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  • id: 194644123
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  • id: 194644124
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  • id: 194644125
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  • id: 194644126
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  • id: 194644127
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  • id: 194644128
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  • id: 194644129
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  • id: 194644130
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  • id: 194644131
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  • id: 194644132
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  • id: 194644133
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  • id: 194644134
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  • id: 194644135
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  • id: 194644136
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  • id: 194644137
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  • id: 194644138
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  • id: 194644139
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  • id: 194644140
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  • id: 194644141
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  • id: 194644142
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  • id: 194644143
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  • id: 194644144
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  • id: 194644145
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  • id: 194644146
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  • id: 194644147
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  • id: 194644148
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  • id: 194644149
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  • id: 194644150
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  • id: 194644151
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  • id: 194644152
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  • id: 194644153
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  • id: 194644154
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  • id: 194644155
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  • id: 194644156
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  • id: 194644157
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  • id: 194644158
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  • id: 194644159
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  • id: 194644160
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  • id: 194644161
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  • id: 194644162
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  • id: 194644163
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  • id: 194644164
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  • id: 194644165
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  • id: 194644166
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  • id: 194644167
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  • id: 194644168
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  • id: 194644169
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  • id: 194644170
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  • id: 194644171
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  • id: 194644172
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  • id: 194644173
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  • id: 194644174
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  • id: 194644175
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  • id: 194644176
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  • id: 194644177
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  • id: 194644178
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  • id: 194644179
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  • id: 194644180
    {'hecke_orbit_code': 31526434375731888, 'n': 181, 'trace_an': -26}
  • id: 194644181
    {'hecke_orbit_code': 31526434375731888, 'n': 182, 'trace_an': 0}
  • id: 194644182
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  • id: 194644183
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  • id: 194644184
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  • id: 194644185
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  • id: 194644186
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  • id: 194644187
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  • id: 194644188
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  • id: 194644189
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  • id: 194644190
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  • id: 194644191
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  • id: 194644192
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  • id: 194644193
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  • id: 194644194
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  • id: 194644195
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  • id: 194644196
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  • id: 194644197
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  • id: 194644198
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  • id: 194644199
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  • id: 194644200
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  • id: 194644201
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  • id: 194644202
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  • id: 194644203
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  • id: 194644204
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  • id: 194644205
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  • id: 194644206
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  • id: 194644207
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  • id: 194644208
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  • id: 194644209
    {'hecke_orbit_code': 31526434375731888, 'n': 210, 'trace_an': 0}
  • id: 194644210
    {'hecke_orbit_code': 31526434375731888, 'n': 211, 'trace_an': 29}
  • id: 194644211
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  • id: 194644212
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  • id: 194644213
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  • id: 194644214
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  • id: 194644215
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  • id: 194644216
    {'hecke_orbit_code': 31526434375731888, 'n': 217, 'trace_an': -70}
  • id: 194644217
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  • id: 194644218
    {'hecke_orbit_code': 31526434375731888, 'n': 219, 'trace_an': 0}
  • id: 194644219
    {'hecke_orbit_code': 31526434375731888, 'n': 220, 'trace_an': 0}
  • id: 194644220
    {'hecke_orbit_code': 31526434375731888, 'n': 221, 'trace_an': 0}
  • id: 194644221
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  • id: 194644222
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  • id: 194644223
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  • id: 194644224
    {'hecke_orbit_code': 31526434375731888, 'n': 225, 'trace_an': 0}
  • id: 194644225
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  • id: 194644226
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  • id: 194644227
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  • id: 194644228
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  • id: 194644229
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  • id: 194644230
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  • id: 194644231
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  • id: 194644232
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  • id: 194644233
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  • id: 194644234
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  • id: 194644235
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  • id: 194644236
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  • id: 194644237
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  • id: 194644238
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  • id: 194644239
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  • id: 194644240
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  • id: 194644241
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  • id: 194644242
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  • id: 194644243
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  • id: 194644244
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  • id: 194644245
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  • id: 194644246
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  • id: 194644247
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  • id: 194644248
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  • id: 194644249
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  • id: 194644250
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  • id: 194644251
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  • id: 194644252
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  • id: 194644253
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  • id: 194644254
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  • id: 194644255
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  • id: 194644256
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  • id: 194644257
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  • id: 194644258
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  • id: 194644259
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  • id: 194644260
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  • id: 194644261
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  • id: 194644262
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  • id: 194644263
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  • id: 194644264
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  • id: 194644265
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  • id: 194644266
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  • id: 194644267
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  • id: 194644268
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  • id: 194644269
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  • id: 194644270
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  • id: 194644271
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  • id: 194644272
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  • id: 194644273
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  • id: 194644274
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  • id: 194644275
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  • id: 194644276
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  • id: 194644280
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  • id: 194644281
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  • id: 194644282
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  • id: 194644283
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  • id: 194644284
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  • id: 194644287
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  • id: 194644288
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  • id: 194644289
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  • id: 194644290
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  • id: 194644291
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  • id: 194644292
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  • id: 194644293
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  • id: 194644294
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  • id: 194644295
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  • id: 194644296
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  • id: 194644297
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  • id: 194644298
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  • id: 194644299
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  • id: 194644300
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  • id: 194644301
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  • id: 194644302
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  • id: 194644306
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  • id: 194644310
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  • id: 194644312
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  • id: 194644313
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  • id: 194644315
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  • id: 194644316
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  • id: 194644317
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  • id: 194644318
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  • id: 194644319
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  • id: 194644320
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  • id: 194644321
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  • id: 194644322
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  • id: 194644324
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  • id: 194644325
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  • id: 194644330
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  • id: 194644336
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  • id: 194644343
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  • id: 194644372
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  • id: 194644373
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  • id: 194644374
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  • id: 194644375
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  • id: 194644376
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  • id: 194644377
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  • id: 194644378
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  • id: 194644379
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  • id: 194644380
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  • id: 194644381
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  • id: 194644382
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  • id: 194644383
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  • id: 194644384
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  • id: 194644385
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  • id: 194644387
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  • id: 194644388
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  • id: 194644389
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  • id: 194644392
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  • id: 194644393
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  • id: 194644402
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  • id: 194644408
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  • id: 194644411
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  • id: 194644412
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  • id: 194644413
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  • id: 194644414
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  • id: 194644415
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  • id: 194644416
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  • id: 194644417
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  • id: 194644418
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  • id: 194644419
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  • id: 194644420
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  • id: 194644421
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  • id: 194644422
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  • id: 194644423
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  • id: 194644424
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  • id: 194644425
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  • id: 194644426
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  • id: 194644427
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  • id: 194644428
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  • id: 194644429
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  • id: 194644430
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  • id: 194644431
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  • id: 194644432
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  • id: 194644433
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  • id: 194644434
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  • id: 194644435
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  • id: 194644436
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  • id: 194644437
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  • id: 194644438
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  • id: 194644439
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  • id: 194644440
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  • id: 194644441
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  • id: 194644442
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  • id: 194644462
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  • id: 194644463
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  • id: 194644464
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  • id: 194644466
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  • id: 194644471
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  • id: 194644472
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  • id: 194644473
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  • id: 194644474
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  • id: 194644475
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  • id: 194644476
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  • id: 194644477
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  • id: 194644478
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  • id: 194644479
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  • id: 194644480
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  • id: 194644481
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  • id: 194644482
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  • id: 194644483
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  • id: 194644484
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  • id: 194644485
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  • id: 194644486
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  • id: 194644487
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  • id: 194644488
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  • id: 194644489
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  • id: 194644490
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  • id: 194644491
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  • id: 194644492
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  • id: 194644493
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  • id: 194644494
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  • id: 194644495
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  • id: 194644496
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  • id: 194644497
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  • id: 194644498
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  • id: 194644499
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  • id: 194644500
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  • id: 194644501
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  • id: 194644502
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  • id: 194644503
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  • id: 194644504
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  • id: 194644505
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  • id: 194644506
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  • id: 194644507
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  • id: 194644508
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  • id: 194644509
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  • id: 194644510
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  • id: 194644511
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  • id: 194644512
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  • id: 194644513
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  • id: 194644514
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  • id: 194644515
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  • id: 194644516
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  • id: 194644517
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  • id: 194644518
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  • id: 194644519
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  • id: 194644520
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  • id: 194644521
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  • id: 194644522
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  • id: 194644523
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  • id: 194644524
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  • id: 194644525
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  • id: 194644526
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  • id: 194644527
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  • id: 194644528
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  • id: 194644529
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  • id: 194644530
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  • id: 194644531
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  • id: 194644532
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  • id: 194644533
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  • id: 194644534
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  • id: 194644535
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  • id: 194644536
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  • id: 194644537
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  • id: 194644538
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  • id: 194644539
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  • id: 194644540
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  • id: 194644541
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  • id: 194644542
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  • id: 194644543
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  • id: 194644544
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  • id: 194644545
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  • id: 194644546
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  • id: 194644547
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  • id: 194644548
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  • id: 194644549
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  • id: 194644550
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  • id: 194644551
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  • id: 194644552
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  • id: 194644553
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  • id: 194644554
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  • id: 194644555
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  • id: 194644556
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  • id: 194644557
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  • id: 194644558
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  • id: 194644559
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  • id: 194644560
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  • id: 194644561
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  • id: 194644562
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  • id: 194644563
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  • id: 194644564
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  • id: 194644565
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  • id: 194644566
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  • id: 194644567
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  • id: 194644568
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  • id: 194644569
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  • id: 194644570
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  • id: 194644571
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  • id: 194644572
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  • id: 194644573
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  • id: 194644574
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  • id: 194644575
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  • id: 194644576
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  • id: 194644577
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  • id: 194644578
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  • id: 194644579
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  • id: 194644580
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  • id: 194644581
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  • id: 194644582
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  • id: 194644583
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  • id: 194644584
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  • id: 194644585
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  • id: 194644586
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  • id: 194644587
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  • id: 194644588
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  • id: 194644589
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  • id: 194644590
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  • id: 194644591
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  • id: 194644592
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  • id: 194644593
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  • id: 194644594
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  • id: 194644595
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  • id: 194644596
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  • id: 194644597
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  • id: 194644598
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  • id: 194644599
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  • id: 194644600
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  • id: 194644601
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  • id: 194644602
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  • id: 194644603
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  • id: 194644604
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  • id: 194644605
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  • id: 194644606
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  • id: 194644607
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  • id: 194644608
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  • id: 194644609
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  • id: 194644610
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  • id: 194644611
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  • id: 194644612
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  • id: 194644613
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  • id: 194644614
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  • id: 194644615
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  • id: 194644616
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  • id: 194644617
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  • id: 194644618
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  • id: 194644619
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  • id: 194644620
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  • id: 194644621
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  • id: 194644622
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  • id: 194644623
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  • id: 194644624
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  • id: 194644625
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  • id: 194644626
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  • id: 194644627
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  • id: 194644628
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  • id: 194644629
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  • id: 194644630
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  • id: 194644631
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  • id: 194644632
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  • id: 194644633
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  • id: 194644634
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  • id: 194644635
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  • id: 194644636
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  • id: 194644637
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  • id: 194644638
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  • id: 194644639
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  • id: 194644640
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  • id: 194644641
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  • id: 194644642
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  • id: 194644643
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  • id: 194644644
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  • id: 194644645
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  • id: 194644646
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  • id: 194644647
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  • id: 194644648
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  • id: 194644649
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  • id: 194644650
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  • id: 194644651
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  • id: 194644652
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  • id: 194644653
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  • id: 194644654
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  • id: 194644655
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  • id: 194644656
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  • id: 194644657
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  • id: 194644658
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  • id: 194644659
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  • id: 194644660
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  • id: 194644661
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  • id: 194644662
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  • id: 194644823
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  • id: 194644858
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  • id: 194644860
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  • id: 194644861
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  • id: 194644862
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  • id: 194644863
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  • id: 194644864
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  • id: 194644865
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  • id: 194644866
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  • id: 194644867
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  • id: 194644868
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  • id: 194644869
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  • id: 194644870
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  • id: 194644871
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  • id: 194644872
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  • id: 194644873
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  • id: 194644874
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  • id: 194644875
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  • id: 194644876
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  • id: 194644877
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  • id: 194644878
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  • id: 194644879
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  • id: 194644880
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  • id: 194644881
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  • id: 194644882
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  • id: 194644883
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  • id: 194644884
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  • id: 194644885
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  • id: 194644886
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  • id: 194644887
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  • id: 194644888
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  • id: 194644889
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  • id: 194644890
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  • id: 194644891
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  • id: 194644892
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  • id: 194644893
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  • id: 194644894
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  • id: 194644895
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  • id: 194644896
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  • id: 194644897
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  • id: 194644898
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  • id: 194644899
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  • id: 194644900
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  • id: 194644901
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  • id: 194644902
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  • id: 194644903
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  • id: 194644904
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  • id: 194644905
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  • id: 194644906
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  • id: 194644907
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  • id: 194644908
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  • id: 194644909
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  • id: 194644910
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  • id: 194644911
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  • id: 194644912
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  • id: 194644913
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  • id: 194644914
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  • id: 194644915
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  • id: 194644916
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  • id: 194644917
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  • id: 194644918
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  • id: 194644919
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  • id: 194644920
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  • id: 194644921
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  • id: 194644922
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  • id: 194644923
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  • id: 194644924
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  • id: 194644925
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  • id: 194644926
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  • id: 194644927
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  • id: 194644928
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  • id: 194644929
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  • id: 194644930
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  • id: 194644931
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  • id: 194644932
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  • id: 194644933
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  • id: 194644934
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  • id: 194644935
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  • id: 194644936
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  • id: 194644937
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  • id: 194644938
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  • id: 194644939
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  • id: 194644940
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  • id: 194644941
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  • id: 194644942
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  • id: 194644943
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  • id: 194644944
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  • id: 194644945
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  • id: 194644946
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  • id: 194644947
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  • id: 194644948
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  • id: 194644949
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  • id: 194644950
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  • id: 194644951
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  • id: 194644952
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  • id: 194644953
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  • id: 194644954
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  • id: 194644955
    {'hecke_orbit_code': 31526434375731888, 'n': 956, 'trace_an': 0}
  • id: 194644956
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  • id: 194644957
    {'hecke_orbit_code': 31526434375731888, 'n': 958, 'trace_an': 0}
  • id: 194644958
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  • id: 194644959
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  • id: 194644960
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  • id: 194644961
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  • id: 194644962
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  • id: 194644963
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  • id: 194644964
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  • id: 194644965
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  • id: 194644966
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  • id: 194644967
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  • id: 194644968
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  • id: 194644969
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  • id: 194644970
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  • id: 194644971
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  • id: 194644972
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  • id: 194644973
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  • id: 194644974
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  • id: 194644975
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  • id: 194644976
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  • id: 194644977
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  • id: 194644978
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  • id: 194644979
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  • id: 194644980
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  • id: 194644981
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  • id: 194644982
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  • id: 194644983
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  • id: 194644984
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  • id: 194644985
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  • id: 194644986
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  • id: 194644987
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  • id: 194644988
    {'hecke_orbit_code': 31526434375731888, 'n': 989, 'trace_an': 0}
  • id: 194644989
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  • id: 194644990
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  • id: 194644991
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  • id: 194644992
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  • id: 194644993
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  • id: 194644994
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  • id: 194644995
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  • id: 194644996
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  • id: 194644997
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  • id: 194644998
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  • id: 194644999
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