Embedded newform data - 1344.2.q.z.193.3

Formats: - HTML - YAML - JSON - 2024-04-24T01:23:03.147737

• 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': 5376, 'analytic_conductor': 10.731894031660083, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 3, 'char_parity': 1, 'char_values': [1344, 3, [127, 1093, 449, 577], [3, 3, 3, 2]], 'cm_discs': [], 'conrey_index': 193, 'conrey_indexes': [193, 961], 'dim': 6, 'field_disc': -1156923, 'field_disc_factorization': [[-1, 1], [3, 7], [23, 2]], 'field_poly': [4, -18, 27, -19, 12, -3, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [16, -36, 81, -8, 9, 0, 1]], [11, [1444, -1026, 729, -76, 27, 0, 1]], [13, [112, -36, -3, 1]]], 'hecke_orbit': 26, 'hecke_orbit_code': 112591090229445952, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1344.2.q.z', 'level': 1344, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '672.2.q.k', 'nf_label': '6.0.1156923.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(1+\\beta _{2})q^{3}+\\beta _{4}q^{5}+(-1+\\beta _{3}-\\beta _{4}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1344.2.q', 'trace_display': [0, 3, 0, -3], 'trace_hash': 573239287071498474, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.025', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.071', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.300', 'prec': 17}, {'__RealLiteral__': 0, 'data': '137.178', 'prec': 24}, {'__RealLiteral__': 0, 'data': '141.176', 'prec': 24}, {'__RealLiteral__': 0, 'data': '5611.901', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.027', 'prec': 17}, 'traces': [6, 0, 3, 0, 0, 0, -3, 0, -3, 0, 0, 0, 6, 0, 0, 0, -6, 0, 3, 0, 0, 0, 6, 0, -3, 0, -6, 0, -24, 0, -3, 0, 0, 0, 12, 0, 3, 0, 3, 0, -12, 0, -30, 0, 0, 0, -12, 0, 9, 0, 6, 0, 6, 0, -24, 0, 6, 0, 12, 0, -18, 0, 3, 0, -24, 0, 9, 0, 12, 0, 0, 0, -33, 0, 3, 0, 12, 0, 27, 0, -3, 0, -36, 0, -72, 0, -12, 0, 12, 0, 51, 0, 3, 0, 24, 0, 0, 0, 0, 0, 18, 0, -15, 0, -6, 0, 24, 0, 9, 0, 6, 0, 48, 0, -36, 0, -3, 0, 36, 0, -21, 0, -6, 0, 24, 0, 30, 0, -15, 0, 0, 0, 27, 0, 0, 0, 12, 0, -6, 0, -24, 0, -30, 0, 18, 0, -15, 0, 12, 0, 12, 0, 12, 0, -12, 0, 18, 0, -6, 0, 18, 0, 0, 0, -12, 0, -24, 0, 84, 0, 3, 0, -18, 0, -12, 0, -12, 0, 24, 0, 54, 0, -36, 0, -48, 0, -24, 0, 3, 0, 0, 0, -9, 0, -48, 0, -84, 0, 36, 0, -9, 0, 6, 0, 24, 0, 6, 0, -60, 0, 0, 0, 0, 0, -12, 0, 6, 0, 33, 0, 42, 0, -120, 0, 6, 0, -12, 0, -15, 0, 54, 0, -36, 0, 36, 0, 54, 0, -12, 0, -24, 0, 3, 0, 12, 0, 81, 0, -18, 0, -72, 0, -48, 0, -36, 0, 36, 0, 75, 0, 12, 0, 24, 0, 12, 0, 24, 0, 18, 0, 36, 0, 24, 0, 54, 0, -3, 0, 6, 0, 108, 0, -57, 0, -24, 0, 90, 0, -33, 0, 0, 0, -48, 0, -24, 0, 0, 0, -42, 0, -27, 0, -18, 0, 12, 0, -18, 0, -30, 0, -18, 0, -9, 0, -18, 0, 0, 0, -12, 0, 48, 0, 84, 0, 27, 0, -9, 0, -12, 0, 21, 0, 3, 0, -48, 0, 6, 0, 24, 0, 42, 0, -12, 0, 36, 0, 30, 0, 84, 0, -6, 0, 12, 0, -36, 0, 18, 0, 36, 0, -24, 0, -42, 0, 24, 0, 27, 0, 6, 0, -6, 0, 15, 0, 12, 0, -72, 0, -90, 0, 15, 0, 6, 0, -6, 0, 15, 0, 12, 0, -168, 0, 0, 0, 30, 0, -9, 0, 51, 0, -6, 0, 51, 0, 0, 0, -156, 0, -3, 0, -12, 0, 12, 0, 60, 0, -3, 0, -84, 0, -42, 0, -12, 0, 18, 0, 102, 0, 30, 0, 24, 0, 54, 0, 36, 0, 42, 0, -12, 0, -24, 0, 72, 0, -36, 0, 24, 0, 48, 0, -108, 0, -12, 0, 108, 0, 33, 0, 6, 0, -120, 0, 66, 0, -6, 0, 24, 0, 24, 0, -18, 0, 54, 0, 54, 0, -12, 0, -54, 0, -15, 0, -18, 0, -12, 0, -9, 0, 0, 0, -60, 0, -12, 0, 12, 0, 12, 0, -45, 0, -12, 0, 84, 0, -24, 0, 42, 0, -12, 0, -12, 0, -3, 0, -12, 0, 48, 0, -36, 0, 12, 0, -27, 0, -57, 0, -18, 0, -15, 0, -24, 0, 108, 0, 60, 0, -24, 0, 6, 0, 33, 0, 27, 0, -168, 0, -48, 0, -18, 0, -36, 0, -93, 0, 48, 0, 54, 0, -90, 0, -48, 0, -18, 0, 0, 0, 0, 0, -6, 0, 39, 0, 0, 0, 36, 0, 51, 0, 9, 0, -48, 0, 96, 0, -24, 0, -84, 0, 102, 0, -42, 0, 78, 0, 132, 0, -36, 0, 72, 0, 18, 0, -18, 0, -36, 0, -21, 0, -18, 0, 36, 0, -66, 0, 48, 0, -36, 0, -27, 0, -6, 0, 12, 0, 33, 0, -30, 0, -204, 0, 0, 0, 0, 0, -30, 0, -87, 0, 0, 0, 6, 0, 18, 0, -24, 0, -30, 0, -54, 0, -45, 0, -66, 0, 12, 0, 66, 0, 60, 0, -9, 0, -42, 0, -12, 0, 12, 0, -60, 0, -168, 0, -150, 0, 3, 0, 96, 0, -42, 0, 12, 0, 24, 0, -72, 0, -30, 0, 90, 0, 9, 0, 42, 0, 48, 0, -36, 0, -72, 0, 108, 0, 15, 0, -36, 0, 12, 0, 6, 0, 27, 0, -36, 0, -168, 0, -6, 0, -30, 0, 69, 0, 24, 0, 24, 0, 18, 0, 6, 0, 54, 0, -15, 0, 72, 0, 30, 0, 27, 0, 162, 0, 12, 0, 36, 0, 18, 0, -18, 0, 9, 0, -36, 0, -180, 0, -12, 0, -24, 0, -30, 0, 84, 0, 36, 0, -18, 0, 66, 0, 72, 0, 18, 0, -45, 0, 27, 0, 54, 0, 24, 0, 24, 0, -48, 0, -60, 0, -24, 0, -24, 0, 90, 0, 6, 0, -60, 0, 192, 0, 12, 0, 54, 0, 12, 0, -18, 0, 72, 0, 120, 0, 72, 0, -84, 0, -45, 0, -27, 0, -24, 0, 48, 0, 108, 0, -132, 0, -51, 0, 3, 0, -90, 0, -96, 0, 3, 0, 48, 0, -42, 0, 54, 0, 84, 0, -93, 0, 57, 0, -102, 0, -78, 0, -48, 0, 36, 0, 0, 0, -24, 0, -30, 0, -12, 0, -66, 0, 132, 0, 87, 0, 0, 0, -18, 0, -30, 0, -24, 0, -132, 0, 126, 0, -12, 0, 6, 0, -51, 0, 0, 0, -36, 0, -144, 0, -84, 0, 6, 0, 24, 0, 12, 0, -12, 0, 33, 0, -36, 0, 132, 0, 6, 0, -12, 0, -54, 0, 87, 0, -9, 0, 96, 0, 150, 0, -15, 0, -24, 0, 54, 0, 18, 0, -84, 0, 18, 0, -18, 0, -54, 0, 36, 0, -12, 0, -18, 0, -3, 0, 0, 0, -132, 0, 24, 0, 12, 0, 36, 0, 42, 0, 24, 0, -192, 0, -102, 0, 42, 0, 36, 0, 33, 0, -27, 0, 6, 0, -48, 0, -18, 0, -6, 0, 12, 0, 24, 0, -54, 0, -15, 0, 42, 0, 144, 0, -69, 0, -3, 0, 84, 0, 0, 0, -24, 0, 180, 0, -162, 0, 3, 0, 24, 0, -120, 0, -24, 0, -6, 0, 60, 0, 84, 0, 114, 0, 21, 0, -51, 0, -24, 0, 57, 0, 72, 0, 120, 0, -39, 0, -30, 0, -36, 0, -84, 0, 42, 0, 24, 0, -114, 0, -3, 0, 24, 0, 90, 0, -12, 0, 48, 0, 0, 0, -72, 0, 54, 0, -45, 0, -18, 0, 36, 0, -39, 0, 72, 0, -288, 0, 96, 0, 24, 0, 72, 0, -15, 0, -21, 0, 84, 0, 150, 0, 12, 0, 6, 0, 24, 0, -27, 0, 30, 0, 144, 0, 12, 0, 12, 0, 84, 0, -90, 0, -18, 0, -66, 0, 30, 0, -36, 0, -51, 0, -12, 0, 72, 0, 57, 0, -36, 0, -108, 0, 216, 0, -45, 0, -30, 0, -36, 0, -15, 0, 108, 0, 54, 0, 12, 0, -54, 0, 33, 0, -54, 0, -36, 0, -90, 0, 30, 0, -108, 0, -12, 0, -12, 0, -48, 0, -72, 0, -84, 0, -24, 0, -12, 0, 0, 0, 18, 0, -24, 0, -30, 0, 72, 0, 96, 0, -18, 0, -48, 0, -36, 0, 24, 0, -102, 0, -51, 0, -12, 0, 216, 0, 72, 0, -51, 0, -66, 0, 30, 0, 0, 0, -132, 0, 48, 0, -78, 0, -78, 0, 9, 0, 3, 0, 126, 0, -30, 0, -24, 0, -84, 0, 66, 0, 66, 0, -42, 0, 0, 0, 120, 0, 96, 0, -102, 0, 3, 0, 72, 0, -60, 0, -42, 0, -108, 0, -60, 0, -21, 0, 84, 0, -69, 0, 12, 0, 90, 0, 174, 0, 36, 0, -114, 0, 0, 0, 114, 0, -48, 0, -36, 0, 60, 0, 0, 0, 12, 0, -24, 0, -60, 0, -3, 0, 27, 0, -120, 0, -264, 0, 18, 0, -12, 0, -12, 0, -42, 0, 126, 0, 72, 0, -24, 0, 138, 0, -147, 0, -9, 0, -90, 0, -84, 0, 144, 0, 228, 0, -27, 0, 36, 0, 168, 0, 15, 0, 12, 0, 12, 0, -84, 0, 24, 0, 48, 0, 96, 0, 108, 0, -54, 0, 0, 0, -24, 0, 96, 0, 12, 0, 120, 0, 90, 0, -66, 0, 66, 0, 48, 0, -12, 0, -6, 0, -54, 0, -39, 0, -60, 0, 24, 0, -6, 0, 33, 0, 150, 0, -72, 0, 6, 0, 66, 0, 174, 0, 48, 0, 60, 0, 12, 0, -21, 0, 24, 0, -84, 0, -36, 0, 24, 0, 75, 0, -54, 0, 36, 0, -60, 0, 27, 0, 168, 0, 60, 0, -6, 0, 36, 0, -120, 0, 54, 0, -126, 0, 108, 0, -30, 0, 96, 0, -69, 0, -36, 0, 24, 0, -75, 0, -24, 0, 48, 0, 12, 0, 9, 0, -126, 0, 18, 0, 0, 0, 48, 0, 90, 0, -30, 0, 66, 0, 84, 0, 12, 0, -18, 0, 138, 0, 24, 0, 36, 0, -39, 0, 36, 0, 6, 0, 72, 0, -90, 0, -96, 0, -21, 0, 12, 0, -12, 0, -24, 0, 42, 0, 144, 0, -192, 0, -12, 0, 150, 0, -51, 0, -42, 0, -36, 0, 204, 0, -24, 0, -78, 0, -57, 0, -87, 0, -144, 0, -18, 0, -6, 0, -60, 0, 129, 0, 12, 0, -72, 0, 6, 0, 24, 0, -120, 0, 192, 0, -18, 0, 102, 0, 66, 0, -12, 0, 24, 0, 138, 0, -54, 0, -72, 0, -207, 0, -45, 0, -144, 0, -12, 0, -36, 0, -48, 0, -54, 0, 15, 0, -108, 0, -93, 0, -12, 0, 204, 0, -234, 0, 54, 0, -30, 0, -195, 0, -60, 0, -42, 0, 90, 0, -48, 0, -72, 0, 72, 0, 54, 0, -174, 0, 93, 0, 66, 0, -24, 0, 93, 0, -27, 0, -48, 0, -72, 0, -84, 0, -120, 0, 48, 0, -24, 0, -84, 0, -48, 0, 18, 0, 24, 0, 18, 0, -72, 0, 60, 0, 72, 0, -63, 0, -60, 0, -57, 0, 96, 0, 108, 0, -111, 0, -54, 0, 18, 0, -21, 0, -45, 0, -84, 0, 210, 0, -24, 0, -48, 0, -108, 0, 18, 0, 36, 0, 138, 0, 0, 0, -6, 0, 87, 0, -3, 0, -30, 0, -6, 0, -12, 0, -156, 0, -60, 0, -39, 0, -126, 0, 12, 0, 0, 0, -192, 0, -96, 0, 18, 0, -108, 0, 21, 0, -51, 0, -78, 0, 96, 0, 18, 0, 108, 0, 63, 0, -60, 0, 24, 0, 24, 0, 192, 0, 12, 0, -63, 0, 24, 0, 102, 0, -81, 0, -42, 0, -156, 0, -96, 0, 51, 0, 60, 0, -96, 0, 42, 0, -24, 0, 72, 0, 156, 0, 60, 0, 48, 0, 12, 0, 54, 0, -21, 0, -72, 0, 72, 0, 0, 0, -72, 0, -12, 0, -75, 0, 9, 0, -168, 0, -42, 0, -9, 0, 18, 0, 102, 0, 36, 0, 6, 0, 144, 0, -42, 0, 0, 0, -87, 0, -24, 0, 54, 0, -81, 0, 72, 0, -36, 0, 156, 0, 66, 0, -36, 0, -30, 0, 24, 0, 180, 0, 0, 0, -18, 0, -150, 0, 60, 0, 27, 0, -102, 0, 258, 0, -12, 0, -84, 0, 12, 0, -24, 0, -42, 0, 45, 0, 66, 0, 0, 0, -63, 0, 30, 0, 42, 0, 84, 0, -102, 0, -168, 0, 228, 0, 0, 0, -12, 0, 0, 0, 0, 0, 144, 0, 168, 0, -60, 0, 54, 0, 84, 0, -141, 0, -84, 0, -48, 0, 0, 0, 252, 0, -48, 0, -6, 0, 6, 0, -24, 0, 9, 0, 456, 0, 162, 0, -12, 0, 60, 0, -12, 0, 30, 0, -60, 0, -120, 0, -108, 0, -30, 0, 93, 0, -51, 0, -96, 0, -15, 0, -132, 0, 228, 0, 132, 0, -12, 0, -150, 0, -48, 0, 33, 0, -228, 0, -186, 0, 30, 0, 24, 0, -12, 0, 9, 0, 12, 0, -66, 0, -84, 0, 54, 0, 102, 0, 108, 0, -90, 0, 60, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.28867513459481287, -0.5], [0.0, 0.0], [0.6141513305124856, 1.0637413079836513], [0.0, 0.0], [-0.9997548447348563, -0.022141599517271616], [0.0, 0.0], [-0.16666666666666666, -0.28867513459481287], [0.0, 0.0], [0.23271205411808368, -0.4030691012662391], [0.0, 0.0], [-1.674299758396781, 0.0], [0.0, 0.0], [0.7091608719891008, 0.0], [0.0, 0.0], [-0.9086762715263846, 1.573873469915951], [0.0, 0.0], [-0.6924654261992335, -1.199385300661909], [0.0, 0.0], [-0.29967516412428674, 0.4934856931466354], [0.0, 0.0], [0.7812134827471537, 1.3531014436759028], [0.0, 0.0], [-0.25436371354051274, 0.4405708754540637], [0.0, 0.0], [-0.19245008972987526, 0.0], [0.0, 0.0], [-0.23275643325598522, 0.0], [0.0, 0.0], [-0.475074467744887, 0.822853115512886], [0.0, 0.0], [-0.13435636708874638, -0.23271205411808368], [0.0, 0.0], [-0.5904478340488628, -1.0770788190044551], [0.0, 0.0], [0.4068463411100522, 0.7046785336761088], [0.0, 0.0], [-0.48332870810725337, 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0.024502919980932014, -0.44542279139556246, -0.3668053527464798], 'char_orbit_index': 17, 'conrey_index': 193, 'dual_conrey_index': 961, 'dual_embedding_index': 3, 'dual_embedding_m': 6, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': -0.05858116595188849, 'embedding_root_real': 0.5, 'hecke_orbit': 26, 'hecke_orbit_code': 112591090229445952, 'label': '1344.2.q.z.193.3', 'level': 1344, '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': 5376, 'analytic_conductor': 10.731894031660083, 'char_conductor': 7, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 3, 'char_parity': 1, 'char_values': [1344, 3, [127, 1093, 449, 577], [3, 3, 3, 2]], 'conrey_index': 193, 'cusp_dim': 464, 'dim': 64, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 13], 'hecke_orbit_code': 1099545183552, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 6, 6], 'label': '1344.2.q', 'level': 1344, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 560, 'mf_new_dim': 64, 'num_forms': 26, 'prim_orbit_index': 3, 'relative_dim': 32, 'sturm_bound': 512, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, -32, 0, 0, 0, -32, 0, 0, 0, 0, 0, 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• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48598887
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 193, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 112591090229445952, 'target_is_minimal': False, 'target_label': '1344.2.q.z.193.3', 'target_level': 1344, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48598888
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 193, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108087490602075456, 'target_is_minimal': False, 'target_label': '1344.2.q.y.193.3', 'target_level': 1344, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48598889
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 961, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 112591090229445952, 'target_is_minimal': False, 'target_label': '1344.2.q.z.961.3', 'target_level': 1344, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48598890
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 504403158299059392, 'target_is_minimal': False, 'target_label': '9408.2.a.ei.1.3', 'target_level': 9408, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48598891
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 499899558671688896, 'target_is_minimal': False, 'target_label': '9408.2.a.eh.1.1', 'target_level': 9408, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48598892
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 193, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49540695446258336, 'target_is_minimal': True, 'target_label': '672.2.q.l.193.1', 'target_level': 672, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48598893
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 193, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45037095818887840, 'target_is_minimal': True, 'target_label': '672.2.q.k.193.1', 'target_level': 672, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48598894
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 865, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 90073229531547616, 'target_is_minimal': False, 'target_label': '2016.2.s.u.865.3', 'target_level': 2016, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48598895
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 865, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 94576829158918112, 'target_is_minimal': False, 'target_label': '2016.2.s.v.865.3', 'target_level': 2016, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48598896
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 495395959044318400, 'target_is_minimal': False, 'target_label': '9408.2.a.eg.1.3', 'target_level': 9408, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '28.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48598897
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 508906757926429888, 'target_is_minimal': False, 'target_label': '9408.2.a.ej.1.1', 'target_level': 9408, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '28.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48598898
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 961, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108087490602075456, 'target_is_minimal': False, 'target_label': '1344.2.q.y.961.3', 'target_level': 1344, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '28.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 48598899
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 211669182519972448, 'target_is_minimal': False, 'target_label': '4704.2.a.bv.1.1', 'target_level': 4704, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '56.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48598900
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 198158383637860960, 'target_is_minimal': False, 'target_label': '4704.2.a.bs.1.3', 'target_level': 4704, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '56.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48598901
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 289, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45037095818887840, 'target_is_minimal': True, 'target_label': '672.2.q.k.289.1', 'target_level': 672, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '56.37', 'twisting_conrey_index': 37, 'weight': 2}
  • id: 48598902
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 202661983265231456, 'target_is_minimal': False, 'target_label': '4704.2.a.bt.1.1', 'target_level': 4704, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '56.45', 'twisting_conrey_index': 45, 'weight': 2}
  • id: 48598903
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 289, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49540695446258336, 'target_is_minimal': True, 'target_label': '672.2.q.l.289.1', 'target_level': 672, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '56.51', 'twisting_conrey_index': 51, 'weight': 2}
  • id: 48598904
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 207165582892601952, 'target_is_minimal': False, 'target_label': '4704.2.a.bu.1.3', 'target_level': 4704, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '56.53', 'twisting_conrey_index': 53, 'weight': 2}
  • id: 48598905
    {'conductor': 168, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 289, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 94576829158918112, 'target_is_minimal': False, 'target_label': '2016.2.s.v.289.3', 'target_level': 2016, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '168.107', 'twisting_conrey_index': 107, 'weight': 2}
  • id: 48598906
    {'conductor': 168, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 193, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112591090229445952, 'source_is_minimal': False, 'source_label': '1344.2.q.z.193.3', 'source_level': 1344, 'target_conrey_index': 289, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 90073229531547616, 'target_is_minimal': False, 'target_label': '2016.2.s.u.289.3', 'target_level': 2016, 'twist_class_label': '672.2.q.k.193.1', 'twist_class_level': 672, 'twisting_char_label': '168.149', 'twisting_conrey_index': 149, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1880650
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 112591090229445952, 'p': 2}
  • id: 1880651
    {'charpoly_factorization': [[[1, -1, 1], 3]], 'hecke_orbit_code': 112591090229445952, 'p': 3}
  • id: 1880652
    {'charpoly_factorization': [[[16, -36, 81, -8, 9, 0, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 5}
  • id: 1880653
    {'charpoly_factorization': [[[343, 147, 0, -5, 0, 3, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 7}
  • id: 1880654
    {'charpoly_factorization': [[[1444, -1026, 729, -76, 27, 0, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 11}
  • id: 1880655
    {'charpoly_factorization': [[[112, -36, -3, 1], 2]], 'hecke_orbit_code': 112591090229445952, 'p': 13}
  • id: 1880656
    {'charpoly_factorization': [[[9216, 2304, 1152, 48, 60, 6, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 17}
  • id: 1880657
    {'charpoly_factorization': [[[12544, -4032, 1632, -116, 45, -3, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 19}
  • id: 1880658
    {'charpoly_factorization': [[[9216, -2304, 1152, -48, 60, -6, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 23}
  • id: 1880659
    {'charpoly_factorization': [[[32, 39, 12, 1], 2]], 'hecke_orbit_code': 112591090229445952, 'p': 29}
  • id: 1880660
    {'charpoly_factorization': [[[2209, 987, 582, 31, 30, 3, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 31}
  • id: 1880661
    {'charpoly_factorization': [[[135424, -30912, 8160, -484, 93, -3, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 37}
  • id: 1880662
    {'charpoly_factorization': [[[-512, -96, 6, 1], 2]], 'hecke_orbit_code': 112591090229445952, 'p': 41}
  • id: 1880663
    {'charpoly_factorization': [[[28, 48, 15, 1], 2]], 'hecke_orbit_code': 112591090229445952, 'p': 43}
  • id: 1880664
    {'charpoly_factorization': [[[12544, -1344, 1488, 368, 132, 12, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 47}
  • id: 1880665
    {'charpoly_factorization': [[[27556, 13446, 5565, 818, 117, -6, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 53}
  • id: 1880666
    {'charpoly_factorization': [[[6724, 1722, 1425, -416, 123, -12, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 59}
  • id: 1880667
    {'charpoly_factorization': [[[304704, -6624, 10080, 1320, 312, 18, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 61}
  • id: 1880668
    {'charpoly_factorization': [[[26896, -1968, 1620, -220, 93, -9, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 67}
  • id: 1880669
    {'charpoly_factorization': [[[-32, -36, 0, 1], 2]], 'hecke_orbit_code': 112591090229445952, 'p': 71}
  • id: 1880670
    {'charpoly_factorization': [[[992016, 334656, 80028, 9096, 753, 33, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 73}
  • id: 1880671
    {'charpoly_factorization': [[[124609, -68835, 28494, -4559, 534, -27, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 79}
  • id: 1880672
    {'charpoly_factorization': [[[-948, -15, 18, 1], 2]], 'hecke_orbit_code': 112591090229445952, 'p': 83}
  • id: 1880673
    {'charpoly_factorization': [[[12544, 1344, 1488, -368, 132, -12, 1], 1]], 'hecke_orbit_code': 112591090229445952, 'p': 89}
  • id: 1880674
    {'charpoly_factorization': [[[38, -27, 0, 1], 2]], 'hecke_orbit_code': 112591090229445952, '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': 17, 'hecke_orbit': 26, 'label': '1344.2.q.z', 'level': 1344, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 260162000
    {'hecke_orbit_code': 112591090229445952, 'n': 1, 'trace_an': 6}
  • id: 260162001
    {'hecke_orbit_code': 112591090229445952, 'n': 2, 'trace_an': 0}
  • id: 260162002
    {'hecke_orbit_code': 112591090229445952, 'n': 3, 'trace_an': 3}
  • id: 260162003
    {'hecke_orbit_code': 112591090229445952, 'n': 4, 'trace_an': 0}
  • id: 260162004
    {'hecke_orbit_code': 112591090229445952, 'n': 5, 'trace_an': 0}
  • id: 260162005
    {'hecke_orbit_code': 112591090229445952, 'n': 6, 'trace_an': 0}
  • id: 260162006
    {'hecke_orbit_code': 112591090229445952, 'n': 7, 'trace_an': -3}
  • id: 260162007
    {'hecke_orbit_code': 112591090229445952, 'n': 8, 'trace_an': 0}
  • id: 260162008
    {'hecke_orbit_code': 112591090229445952, 'n': 9, 'trace_an': -3}
  • id: 260162009
    {'hecke_orbit_code': 112591090229445952, 'n': 10, 'trace_an': 0}
  • id: 260162010
    {'hecke_orbit_code': 112591090229445952, 'n': 11, 'trace_an': 0}
  • id: 260162011
    {'hecke_orbit_code': 112591090229445952, 'n': 12, 'trace_an': 0}
  • id: 260162012
    {'hecke_orbit_code': 112591090229445952, 'n': 13, 'trace_an': 6}
  • id: 260162013
    {'hecke_orbit_code': 112591090229445952, 'n': 14, 'trace_an': 0}
  • id: 260162014
    {'hecke_orbit_code': 112591090229445952, 'n': 15, 'trace_an': 0}
  • id: 260162015
    {'hecke_orbit_code': 112591090229445952, 'n': 16, 'trace_an': 0}
  • id: 260162016
    {'hecke_orbit_code': 112591090229445952, 'n': 17, 'trace_an': -6}
  • id: 260162017
    {'hecke_orbit_code': 112591090229445952, 'n': 18, 'trace_an': 0}
  • id: 260162018
    {'hecke_orbit_code': 112591090229445952, 'n': 19, 'trace_an': 3}
  • id: 260162019
    {'hecke_orbit_code': 112591090229445952, 'n': 20, 'trace_an': 0}
  • id: 260162020
    {'hecke_orbit_code': 112591090229445952, 'n': 21, 'trace_an': 0}
  • id: 260162021
    {'hecke_orbit_code': 112591090229445952, 'n': 22, 'trace_an': 0}
  • id: 260162022
    {'hecke_orbit_code': 112591090229445952, 'n': 23, 'trace_an': 6}
  • id: 260162023
    {'hecke_orbit_code': 112591090229445952, 'n': 24, 'trace_an': 0}
  • id: 260162024
    {'hecke_orbit_code': 112591090229445952, 'n': 25, 'trace_an': -3}
  • id: 260162025
    {'hecke_orbit_code': 112591090229445952, 'n': 26, 'trace_an': 0}
  • id: 260162026
    {'hecke_orbit_code': 112591090229445952, 'n': 27, 'trace_an': -6}
  • id: 260162027
    {'hecke_orbit_code': 112591090229445952, 'n': 28, 'trace_an': 0}
  • id: 260162028
    {'hecke_orbit_code': 112591090229445952, 'n': 29, 'trace_an': -24}
  • id: 260162029
    {'hecke_orbit_code': 112591090229445952, 'n': 30, 'trace_an': 0}
  • id: 260162030
    {'hecke_orbit_code': 112591090229445952, 'n': 31, 'trace_an': -3}
  • id: 260162031
    {'hecke_orbit_code': 112591090229445952, 'n': 32, 'trace_an': 0}
  • id: 260162032
    {'hecke_orbit_code': 112591090229445952, 'n': 33, 'trace_an': 0}
  • id: 260162033
    {'hecke_orbit_code': 112591090229445952, 'n': 34, 'trace_an': 0}
  • id: 260162034
    {'hecke_orbit_code': 112591090229445952, 'n': 35, 'trace_an': 12}
  • id: 260162035
    {'hecke_orbit_code': 112591090229445952, 'n': 36, 'trace_an': 0}
  • id: 260162036
    {'hecke_orbit_code': 112591090229445952, 'n': 37, 'trace_an': 3}
  • id: 260162037
    {'hecke_orbit_code': 112591090229445952, 'n': 38, 'trace_an': 0}
  • id: 260162038
    {'hecke_orbit_code': 112591090229445952, 'n': 39, 'trace_an': 3}
  • id: 260162039
    {'hecke_orbit_code': 112591090229445952, 'n': 40, 'trace_an': 0}
  • id: 260162040
    {'hecke_orbit_code': 112591090229445952, 'n': 41, 'trace_an': -12}
  • id: 260162041
    {'hecke_orbit_code': 112591090229445952, 'n': 42, 'trace_an': 0}
  • id: 260162042
    {'hecke_orbit_code': 112591090229445952, 'n': 43, 'trace_an': -30}
  • id: 260162043
    {'hecke_orbit_code': 112591090229445952, 'n': 44, 'trace_an': 0}
  • id: 260162044
    {'hecke_orbit_code': 112591090229445952, 'n': 45, 'trace_an': 0}
  • id: 260162045
    {'hecke_orbit_code': 112591090229445952, 'n': 46, 'trace_an': 0}
  • id: 260162046
    {'hecke_orbit_code': 112591090229445952, 'n': 47, 'trace_an': -12}
  • id: 260162047
    {'hecke_orbit_code': 112591090229445952, 'n': 48, 'trace_an': 0}
  • id: 260162048
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  • id: 260162049
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  • id: 260162050
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  • id: 260162051
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  • id: 260162052
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  • id: 260162053
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  • id: 260162054
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  • id: 260162055
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  • id: 260162056
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  • id: 260162057
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  • id: 260162058
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  • id: 260162059
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  • id: 260162060
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  • id: 260162061
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  • id: 260162062
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  • id: 260162063
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  • id: 260162064
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  • id: 260162065
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  • id: 260162066
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  • id: 260162067
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  • id: 260162068
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  • id: 260162069
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  • id: 260162070
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  • id: 260162072
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  • id: 260162074
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  • id: 260162076
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  • id: 260162078
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  • id: 260162080
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  • id: 260162082
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  • id: 260162088
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  • id: 260162090
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  • id: 260162091
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  • id: 260162092
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  • id: 260162094
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  • id: 260162100
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  • id: 260162102
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  • id: 260162108
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  • id: 260162110
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  • id: 260162114
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  • id: 260162116
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  • id: 260162118
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  • id: 260162120
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  • id: 260162121
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  • id: 260162122
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  • id: 260162124
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  • id: 260162125
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  • id: 260162126
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  • id: 260162127
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  • id: 260162128
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  • id: 260162129
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  • id: 260162132
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  • id: 260162135
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  • id: 260162136
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  • id: 260162138
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  • id: 260162139
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  • id: 260162140
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  • id: 260162141
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  • id: 260162142
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  • id: 260162143
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  • id: 260162144
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  • id: 260162145
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  • id: 260162146
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  • id: 260162147
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  • id: 260162148
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  • id: 260162149
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  • id: 260162150
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  • id: 260162151
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  • id: 260162152
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  • id: 260162153
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  • id: 260162154
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  • id: 260162156
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  • id: 260162160
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  • id: 260162178
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  • id: 260162188
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  • id: 260162190
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  • id: 260162191
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  • id: 260162192
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  • id: 260162193
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  • id: 260162198
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  • id: 260162204
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  • id: 260162206
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  • id: 260162240
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  • id: 260162241
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  • id: 260162242
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  • id: 260162244
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  • id: 260162246
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  • id: 260162248
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  • id: 260162250
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  • id: 260162254
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  • id: 260162256
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  • id: 260162258
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  • id: 260162260
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  • id: 260162262
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  • id: 260162312
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  • id: 260162322
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  • id: 260162328
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  • id: 260162330
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  • id: 260162338
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  • id: 260162340
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  • id: 260162342
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  • id: 260162346
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  • id: 260162434
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  • id: 260162435
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  • id: 260162438
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  • id: 260162439
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  • id: 260162440
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  • id: 260162441
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  • id: 260162442
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  • id: 260162443
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  • id: 260162444
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  • id: 260162446
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  • id: 260162447
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  • id: 260162448
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  • id: 260162449
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  • id: 260162450
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  • id: 260162453
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  • id: 260162500
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  • id: 260162512
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  • id: 260162520
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  • id: 260162522
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  • id: 260162530
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  • id: 260162532
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  • id: 260162538
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  • id: 260162542
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  • id: 260162625
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  • id: 260162626
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  • id: 260162641
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  • id: 260162642
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  • id: 260162649
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  • id: 260162719
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  • id: 260162721
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  • id: 260162722
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  • id: 260162727
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  • id: 260162815
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  • id: 260162816
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  • id: 260162817
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  • id: 260162818
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  • id: 260162819
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  • id: 260162820
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  • id: 260162821
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  • id: 260162822
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  • id: 260162823
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  • id: 260162824
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  • id: 260162825
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  • id: 260162826
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  • id: 260162827
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  • id: 260162828
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  • id: 260162829
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  • id: 260162830
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  • id: 260162831
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  • id: 260162835
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  • id: 260162836
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  • id: 260162837
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  • id: 260162838
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  • id: 260162839
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  • id: 260162840
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  • id: 260162844
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  • id: 260162845
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  • id: 260162880
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  • id: 260162883
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  • id: 260162884
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  • id: 260162885
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  • id: 260162897
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  • id: 260162900
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  • id: 260162902
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  • id: 260162903
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  • id: 260162904
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  • id: 260162905
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  • id: 260162907
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  • id: 260162908
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  • id: 260162909
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  • id: 260162910
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  • id: 260162911
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  • id: 260162912
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  • id: 260162913
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  • id: 260162914
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  • id: 260162915
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  • id: 260162916
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  • id: 260162917
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  • id: 260162918
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  • id: 260162919
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  • id: 260162920
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  • id: 260162921
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  • id: 260162922
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  • id: 260162923
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  • id: 260162924
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  • id: 260162925
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  • id: 260162926
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  • id: 260162927
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  • id: 260162928
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  • id: 260162929
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  • id: 260162930
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  • id: 260162931
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  • id: 260162932
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  • id: 260162935
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  • id: 260162936
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  • id: 260162937
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  • id: 260162938
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  • id: 260162939
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  • id: 260162940
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  • id: 260162941
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  • id: 260162942
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  • id: 260162943
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  • id: 260162944
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  • id: 260162945
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  • id: 260162946
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  • id: 260162947
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  • id: 260162948
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  • id: 260162949
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  • id: 260162951
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  • id: 260162952
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  • id: 260162953
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  • id: 260162954
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  • id: 260162955
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  • id: 260162956
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  • id: 260162957
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  • id: 260162958
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  • id: 260162959
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  • id: 260162960
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  • id: 260162961
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  • id: 260162962
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  • id: 260162963
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  • id: 260162964
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  • id: 260162965
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  • id: 260162968
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  • id: 260162969
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  • id: 260162970
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  • id: 260162971
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  • id: 260162972
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  • id: 260162973
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  • id: 260162975
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  • id: 260162979
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  • id: 260162981
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  • id: 260162983
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  • id: 260162986
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  • id: 260162989
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  • id: 260162990
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  • id: 260162991
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  • id: 260162992
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  • id: 260162993
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  • id: 260162994
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  • id: 260162995
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  • id: 260162996
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  • id: 260162997
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