Embedded newform data - 8016.2.a.u.1.3

Formats: - HTML - YAML - JSON - 2024-05-03T01:39:19.591408

• 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': 32064, 'analytic_conductor': 64.00808226025836, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [167, -1]], 'atkin_lehner_string': '---', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [8016, 1, [3007, 2005, 5345, 673], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 5, 'field_disc': 38569, 'field_disc_factorization': [[38569, 1]], 'field_poly': [-1, 4, 0, -5, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-1, 17, -2, -9, 1, 1]], [7, [13, -37, 29, -3, -4, 1]], [11, [-121, -101, 92, -3, -7, 1]], [13, [17, -48, -66, -1, 8, 1]]], 'hecke_orbit': 21, 'hecke_orbit_code': 90071992580972368, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '8016.2.a.u', 'level': 8016, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 167], 'level_radical': 1002, 'minimal_twist': '501.2.a.c', 'nf_label': '5.5.38569.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}+(\\beta _{1}+\\beta _{4})q^{5}+(1+\\beta _{2}+\\beta _{3}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8016.2.a', 'trace_display': [0, 5, -1, 4], 'trace_hash': 1334579478940218021, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.069', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.732', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.282', 'prec': 17}, {'__RealLiteral__': 0, 'data': '64.496', 'prec': 20}, {'__RealLiteral__': 0, 'data': '37.097', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1408.206', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.004', 'prec': 17}, 'traces': [5, 0, 5, 0, -1, 0, 4, 0, 5, 0, 7, 0, -8, 0, -1, 0, 5, 0, 20, 0, 4, 0, -1, 0, -6, 0, 5, 0, -5, 0, 18, 0, 7, 0, 6, 0, -17, 0, -8, 0, 6, 0, 10, 0, -1, 0, 3, 0, -13, 0, 5, 0, 15, 0, 9, 0, 20, 0, 17, 0, -2, 0, 4, 0, 26, 0, 24, 0, -1, 0, -1, 0, 2, 0, -6, 0, 26, 0, 6, 0, 5, 0, 7, 0, -11, 0, -5, 0, 0, 0, 15, 0, 18, 0, -1, 0, -13, 0, 7, 0, -16, 0, -9, 0, 6, 0, -18, 0, -14, 0, -17, 0, 29, 0, 19, 0, -8, 0, 0, 0, 0, 0, 6, 0, -12, 0, -21, 0, 10, 0, 36, 0, 5, 0, -1, 0, 36, 0, 16, 0, 3, 0, 28, 0, 0, 0, -13, 0, -3, 0, 30, 0, 5, 0, 0, 0, -15, 0, 15, 0, -26, 0, 37, 0, 9, 0, 5, 0, 1, 0, 20, 0, 31, 0, 1, 0, 17, 0, 51, 0, 17, 0, -2, 0, 2, 0, 17, 0, 4, 0, -26, 0, -2, 0, 26, 0, 26, 0, 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0, 129, 0, 4, 0, 12, 0, 75, 0, -105, 0, -67, 0, -118, 0, 127, 0, -18, 0, 74, 0, 105, 0, -112, 0, -110, 0, 16, 0, -67, 0, -26, 0, -53, 0, 2, 0, -3, 0, 79, 0, 2, 0, -123, 0, 76, 0, -50, 0, 58, 0, 96, 0, 3, 0, -230, 0, -12, 0, -40, 0, 98, 0, -45, 0, 21, 0, -119, 0, 135, 0, -14, 0, 34, 0, 134, 0, 3, 0, -300, 0, 43, 0, -26, 0, -166, 0, 131, 0, 51, 0, 0, 0, 8, 0, -47, 0, 11, 0, 77, 0, 17, 0, 83, 0, -245, 0, -5, 0, -8, 0, -53, 0, -43, 0, 56, 0, 8, 0, -1, 0, 86, 0, -131, 0, -17, 0, -204, 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

  
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-0.2995734741626733, -0.18781270649748602, -0.10580586575279019, -0.10644993590474945, -0.44881579318101494, -0.26415381258451776, -0.318153733409878, -0.3115714579982642, -0.31470996940785845, -0.281873957360871, -0.07475398884320995, -0.2641728166720821, -0.22818666338705684, -0.35275452906240123, -0.11891067578634393, -0.3461955177107239, -0.025444908591050152, -0.4223647449546894, -0.3626907786840213, -0.1831442259548777, -0.30819467064788025, -0.12631969769044962, -0.18982427751343034, -0.3142145660838045, -0.2753651888001935], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.1509841732749715, 'hecke_orbit': 21, 'hecke_orbit_code': 90071992580972368, 'label': '8016.2.a.u.1.3', 'level': 8016, 'weight': 2}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'AL_dims': [[[[2, 1], [3, 1], [167, 1]], 19, 4], [[[2, -1], [3, -1], [167, -1]], 23, 5], [[[2, -1], [3, 1], [167, 1]], 23, 5], [[[2, 1], [3, -1], [167, -1]], 18, 3], [[[2, -1], [3, -1], [167, 1]], 19, 6], [[[2, -1], [3, 1], [167, -1]], 19, 4], [[[2, 1], [3, -1], [167, 1]], 22, 3], [[[2, 1], [3, 1], [167, -1]], 23, 3]], 'ALdims': [19, 23, 22, 18, 23, 19, 19, 23], 'Nk2': 32064, 'analytic_conductor': 64.00808226025836, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [8016, 1, [3007, 2005, 5345, 673], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1333, 'dim': 166, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 13], 'hecke_orbit_code': 33562448, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 3, 3, 3, 4, 5, 5, 5, 5, 5, 5, 7, 7, 8, 8, 8, 9, 9, 9, 10, 11, 12, 13], 'label': '8016.2.a', 'level': 8016, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 167], 'level_radical': 1002, 'mf_dim': 1356, 'mf_new_dim': 166, 'num_forms': 33, 'plus_dim': 75, 'prim_orbit_index': 1, 'relative_dim': 166, 'sturm_bound': 2688, 'trace_bound': 11, 'trace_display': [0, -2, 4, 0], 'traces': [166, 0, -2, 0, 4, 0, 0, 0, 166, 0, 8, 0, 4, 0, 0, 0, -4, 0, -16, 0, 0, 0, -16, 0, 170, 0, -2, 0, -12, 0, 8, 0, 8, 0, 0, 0, -12, 0, -4, 0, -4, 0, 4, 0, 4, 0, 24, 0, 166, 0, 0, 0, -12, 0, -24, 0, -8, 0, 0, 0, 4, 0, 0, 0, -24, 0, 28, 0, 0, 0, 8, 0, -20, 0, -14, 0, -16, 0, -20, 0, 166, 0, -24, 0, 24, 0, 12, 0, -4, 0, -8, 0, 16, 0, 24, 0, -4, 0, 8, 0, 20, 0, 20, 0, 0, 0, 8, 0, 20, 0, -28, 0, -36, 0, -24, 0, 4, 0, -72, 0, 126, 0, 24, 0, -24, 0, 24, 0, -8, 0, 16, 0, -16, 0, 0, 0, -20, 0, -28, 0, 16, 0, 40, 0, -24, 0, -18, 0, -44, 0, -44, 0, -4, 0, 0, 0, 20, 0, 0, 0, -32, 0, -4, 0, 16, 0, 0, 0, 186, 0, -16, 0, -44, 0, 0, 0, 8, 0, 8, 0, 36, 0, -12, 0, -24, 0, 32, 0, 0, 0, 96, 0, -36, 0, -24, 0, 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0, 112, 0, -120, 0, -328, 0, 8, 0, -48, 0, 56, 0, 320, 0, 20, 0, -136, 0, -20, 0, -8, 0, 88, 0, -28, 0, 32, 0, -16, 0, -140, 0, 16, 0, 80, 0, 80, 0, 0, 0, -8, 0, 44, 0, -20, 0, -44, 0, 40, 0, -24, 0, 216, 0, 324, 0, 224, 0, -64, 0, -104, 0, -160, 0, 200, 0, -60, 0, 80, 0, -240, 0, -324, 0, -80, 0, 160, 0, 0, 0, 20, 0, -80, 0, -56, 0, 8, 0, -248, 0, 190, 0, 52, 0, -56, 0, -8, 0, -8, 0, 280, 0, 84, 0, -16, 0, -264, 0, -116, 0, -48, 0, 528, 0, -164, 0, 22, 0, 132, 0, -80, 0, 16, 0, -144, 0, -384, 0, -224, 0, 76, 0, -88, 0, -112, 0, -288, 0, -32, 0, -56, 0, -44, 0, 136, 0, 32, 0, -112, 0, -96, 0, -212, 0, 172, 0, -120, 0, 16, 0, 576, 0, 56, 0, 168, 0, -32, 0, -320, 0, -40, 0, -8, 0, 68, 0, -72, 0, 72, 0, 368, 0, 0, 0, 160, 0, -72, 0, -160, 0, 116, 0, 8, 0, -16, 0, -256, 0, -80, 0, 4, 0, -184, 0, 392, 0, -48, 0, 256, 0, 48, 0, 4, 0, 308, 0, 468, 0, -72, 0, -144, 0, -176, 0, 132, 0, -184, 0, 72, 0, 56, 0, 152, 0, -132, 0, 192, 0, -28, 0, -128, 0, 48, 0, 104, 0, -184, 0, 24, 0, 60, 0, -448, 0, 16, 0, 392, 0, -244, 0, -116, 0, -176, 0, -56, 0, 170, 0, -296, 0, 36, 0, 132, 0, -208, 0, 312, 0, -128, 0, -496, 0, -248, 0, 48, 0, 424, 0, 168, 0, 24, 0, -40, 0, 68, 0, -144, 0, 92, 0, 616, 0, 20, 0, -80, 0, -176, 0, 104, 0, 164, 0, -480, 0, -56, 0, 240, 0, 128, 0, 0, 0, -84, 0, 300, 0, -80, 0, -512, 0, 284, 0, -40, 0, 144, 0, 560, 0, -36, 0, 280, 0, -352, 0, 196, 0, -136, 0, -332, 0, -96, 0, -80, 0, -52, 0, 96, 0, 40, 0, 24, 0, -80, 0, 208, 0, 192, 0, -212, 0, -116, 0, -240, 0, 16, 0, 48, 0, 60, 0, 64, 0, 116, 0, 380, 0, 48, 0, -720, 0, 416, 0, 112, 0, -260, 0, -160, 0, -80, 0, 216, 0, -20, 0, 128, 0, 136, 0, 96, 0, -4, 0, 0, 0, 56, 0, 228, 0, -144, 0, 176, 0, -16, 0, -176, 0, 208, 0, -2, 0, -144, 0, -152, 0, -32, 0, -456, 0, -184, 0, -172, 0, -112, 0, 208, 0, 36, 0, -120, 0, 310, 0, 56, 0, 164, 0, 152, 0, 120, 0, 648, 0, -108, 0, -24, 0, 308, 0, 48, 0, 80, 0, -328, 0, -256, 0, -8, 0, -140, 0, -292, 0, 24, 0, -320, 0, -248, 0, 360, 0, 120, 0, 92, 0, -64, 0, 472, 0, -8, 0, 0, 0, -48, 0, 192, 0, 0, 0, -280, 0, 148, 0, -28, 0, 60, 0, -72, 0, 64, 0, 248, 0, -196, 0, 260, 0, 136, 0, -24, 0, 16, 0, -104, 0, -188, 0, 24, 0, 268, 0, -216, 0, -80, 0, -72, 0, -152, 0, -20, 0, 292, 0, -84, 0, -20, 0, -16, 0, -144, 0, 112, 0, -48, 0, 208, 0, -176, 0, -992, 0, 72, 0, 8, 0, -60, 0, -184, 0, -48, 0, 208, 0, 244, 0, 176, 0, -80, 0, -88, 0, -12, 0, 504, 0, 136, 0, 80, 0, 100, 0, 216, 0, 8, 0, -248, 0, 272, 0, 80, 0, 320, 0, 80, 0, 144, 0, -504, 0, -52, 0, -264, 0, 276, 0, -172, 0, -24, 0, -520, 0, 20, 0, 72, 0, 236, 0, 360, 0, -32, 0, -240, 0, 374, 0, 36, 0, -16, 0, -384, 0, -16, 0, -232, 0, 144, 0, 32, 0, -36, 0, -24, 0, 68, 0, -392, 0, 84, 0, -68, 0, 368, 0, 352, 0, -152, 0, -248, 0, 180, 0, 12, 0, -36, 0, 232, 0, 0, 0, -192, 0, 128, 0, 160, 0, 416, 0, -32, 0, 0, 0, -408, 0, -208, 0, -208, 0, 144, 0, -236, 0, -80, 0, -320, 0, -164, 0, -40, 0, 404, 0, 264, 0, -72, 0, 136, 0, 256, 0, 28, 0, 256, 0, -344, 0, 36, 0, -392, 0, 128, 0, 264, 0, -56, 0, 180, 0, 0, 0, 184, 0, 136, 0, 8, 0, -48, 0, 320, 0, -16, 0, -256, 0, -308, 0, 34, 0, -148, 0, -80, 0, -68, 0, 0, 0, -24, 0, 120, 0, 448, 0, -244, 0, -96, 0, 792, 0, 136, 0, 16, 0, 84, 0, -44, 0, -16, 0, 128, 0, 52, 0, 52, 0, 120, 0, -256, 0, 0, 0, -720, 0, 160, 0, -44, 0, 160, 0, 580, 0, 72, 0, -112, 0, 328, 0, 8, 0, 64, 0, -776, 0, 144, 0, 72, 0, -68, 0, 272, 0, 52, 0, 0, 0, 194, 0, 88, 0, -232, 0, -160, 0, 44, 0, -32, 0, -16, 0, 240, 0, 300, 0, -4, 0, -76, 0, 24, 0, -96, 0, -168, 0, -32, 0, -76, 0, 140, 0, 120, 0, 4, 0, -304, 0, 144, 0, -80, 0, -284, 0, -148, 0, 152, 0, -720, 0, 32, 0, 8, 0, -36, 0, -80, 0, 0, 0, -424, 0, 80, 0, -48, 0, 120, 0, -260, 0, 8, 0, 232, 0, -28, 0, 312, 0, 176, 0, 288, 0, -224, 0, 32, 0, 44, 0, 64, 0, 52, 0, 448, 0, -80, 0, -176, 0, -424, 0, 88, 0, 264, 0, 164, 0, 0, 0, -520, 0, -212, 0, 72, 0, -112, 0, -32, 0, -8, 0, -240, 0, -68, 0, -24, 0, 348, 0, 252, 0, -16, 0, 232, 0, -80, 0, 336, 0, -412, 0, -288, 0, -104, 0, -104, 0, -220, 0, -264, 0, 140, 0, 1152, 0, -32, 0, -40, 0, -48, 0, -52, 0, -176, 0, -580, 0, 176, 0, -320, 0, -144, 0, 108, 0, 236, 0, -440, 0, 32, 0, -16, 0, 8, 0, 108, 0, -124, 0, -172, 0, -120, 0, -144, 0, -268, 0, -56, 0, -180, 0, -236, 0, 0, 0, -176, 0, 106, 0, -436, 0, 72, 0, 176, 0, -4, 0, -384, 0, -272, 0, 272, 0, -140, 0, -416, 0, 48, 0, 72, 0, 316, 0, 0, 0, -204, 0, 52, 0, -56, 0, 200, 0, 136, 0, 328, 0, 464, 0, 616, 0, 20, 0, -1016, 0, 60, 0, 160, 0, -92, 0, 872, 0, -16, 0, -400, 0, 80, 0, 80, 0, 36, 0, -472, 0, 48, 0, -376, 0, -256, 0, 126, 0, -200, 0, -288, 0, -8, 0, 24, 0, 256, 0, 48, 0, 12, 0, 192, 0, -176, 0, 496, 0, 112, 0, 176, 0, -60, 0, -136, 0, -120, 0, -208, 0, -172, 0, -48, 0, 16, 0, -176, 0, 76, 0, 552, 0, 72, 0, 80, 0, 176, 0, 368, 0, -128, 0, -560, 0, 8, 0, -20, 0, 304, 0, 32, 0, -80, 0, -248, 0, 140, 0, 120, 0, 260, 0, -168, 0, -48, 0, 208, 0, -280, 0, 208, 0, 28, 0, 32, 0, -128, 0, -776, 0, -104, 0, 68, 0, 320, 0, -32, 0, 80, 0, -328, 0, 100, 0, 52, 0, 232, 0, 112, 0, -12, 0, 776, 0], 'weight': 2, 'weight_parity': 1}
• 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: 48338001
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 90071992580972368, 'source_is_minimal': False, 'source_label': '8016.2.a.u.1.3', 'source_level': 8016, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 90071992580972368, 'target_is_minimal': False, 'target_label': '8016.2.a.u.1.3', 'target_level': 8016, 'twist_class_label': '501.2.a.c.1.4', 'twist_class_level': 501, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48338002
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 90071992580972368, 'source_is_minimal': False, 'source_label': '8016.2.a.u.1.3', 'source_level': 8016, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007199288295925, 'target_is_minimal': True, 'target_label': '501.2.a.c.1.4', 'target_level': 501, 'twist_class_label': '501.2.a.c.1.4', 'twist_class_level': 501, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48338003
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 90071992580972368, 'source_is_minimal': False, 'source_label': '8016.2.a.u.1.3', 'source_level': 8016, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007199288296927, 'target_is_minimal': False, 'target_label': '1503.2.a.c.1.2', 'target_level': 1503, 'twist_class_label': '501.2.a.c.1.4', 'twist_class_level': 501, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4635850
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 90071992580972368, 'p': 2}
  • id: 4635851
    {'charpoly_factorization': [[[-1, 1], 5]], 'hecke_orbit_code': 90071992580972368, 'p': 3}
  • id: 4635852
    {'charpoly_factorization': [[[-1, 17, -2, -9, 1, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 5}
  • id: 4635853
    {'charpoly_factorization': [[[13, -37, 29, -3, -4, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 7}
  • id: 4635854
    {'charpoly_factorization': [[[-121, -101, 92, -3, -7, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 11}
  • id: 4635855
    {'charpoly_factorization': [[[17, -48, -66, -1, 8, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 13}
  • id: 4635856
    {'charpoly_factorization': [[[-293, -255, 234, -34, -5, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 17}
  • id: 4635857
    {'charpoly_factorization': [[[-599, 940, -554, 153, -20, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 19}
  • id: 4635858
    {'charpoly_factorization': [[[-1793, 1301, -26, -77, 1, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 23}
  • id: 4635859
    {'charpoly_factorization': [[[4001, 1033, -330, -71, 5, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 29}
  • id: 4635860
    {'charpoly_factorization': [[[-181, 444, -347, 118, -18, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 31}
  • id: 4635861
    {'charpoly_factorization': [[[-13913, -7275, -1084, 23, 17, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 37}
  • id: 4635862
    {'charpoly_factorization': [[[1, -14, -55, -40, -6, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 41}
  • id: 4635863
    {'charpoly_factorization': [[[-4159, -650, 689, -52, -10, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 43}
  • id: 4635864
    {'charpoly_factorization': [[[-547, 208, 223, -63, -3, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 47}
  • id: 4635865
    {'charpoly_factorization': [[[707, -4314, 1417, -65, -15, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 53}
  • id: 4635866
    {'charpoly_factorization': [[[5737, -10470, 2381, -73, -17, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 59}
  • id: 4635867
    {'charpoly_factorization': [[[-8609, 2152, 474, -147, 2, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 61}
  • id: 4635868
    {'charpoly_factorization': [[[-23449, -14296, 3132, -3, -24, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 67}
  • id: 4635869
    {'charpoly_factorization': [[[28039, 15837, -207, -292, 1, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 71}
  • id: 4635870
    {'charpoly_factorization': [[[8743, 3298, -62, -109, -2, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 73}
  • id: 4635871
    {'charpoly_factorization': [[[-31489, 3112, 1471, -186, -6, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 79}
  • id: 4635872
    {'charpoly_factorization': [[[7703, 5178, 353, -129, -7, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 83}
  • id: 4635873
    {'charpoly_factorization': [[[17071, 5064, -322, -155, 0, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 89}
  • id: 4635874
    {'charpoly_factorization': [[[-869, -1989, -1201, -112, 13, 1], 1]], 'hecke_orbit_code': 90071992580972368, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 21, 'label': '8016.2.a.u', 'level': 8016, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 250162000
    {'hecke_orbit_code': 90071992580972368, 'n': 1, 'trace_an': 5}
  • id: 250162001
    {'hecke_orbit_code': 90071992580972368, 'n': 2, 'trace_an': 0}
  • id: 250162002
    {'hecke_orbit_code': 90071992580972368, 'n': 3, 'trace_an': 5}
  • id: 250162003
    {'hecke_orbit_code': 90071992580972368, 'n': 4, 'trace_an': 0}
  • id: 250162004
    {'hecke_orbit_code': 90071992580972368, 'n': 5, 'trace_an': -1}
  • id: 250162005
    {'hecke_orbit_code': 90071992580972368, 'n': 6, 'trace_an': 0}
  • id: 250162006
    {'hecke_orbit_code': 90071992580972368, 'n': 7, 'trace_an': 4}
  • id: 250162007
    {'hecke_orbit_code': 90071992580972368, 'n': 8, 'trace_an': 0}
  • id: 250162008
    {'hecke_orbit_code': 90071992580972368, 'n': 9, 'trace_an': 5}
  • id: 250162009
    {'hecke_orbit_code': 90071992580972368, 'n': 10, 'trace_an': 0}
  • id: 250162010
    {'hecke_orbit_code': 90071992580972368, 'n': 11, 'trace_an': 7}
  • id: 250162011
    {'hecke_orbit_code': 90071992580972368, 'n': 12, 'trace_an': 0}
  • id: 250162012
    {'hecke_orbit_code': 90071992580972368, 'n': 13, 'trace_an': -8}
  • id: 250162013
    {'hecke_orbit_code': 90071992580972368, 'n': 14, 'trace_an': 0}
  • id: 250162014
    {'hecke_orbit_code': 90071992580972368, 'n': 15, 'trace_an': -1}
  • id: 250162015
    {'hecke_orbit_code': 90071992580972368, 'n': 16, 'trace_an': 0}
  • id: 250162016
    {'hecke_orbit_code': 90071992580972368, 'n': 17, 'trace_an': 5}
  • id: 250162017
    {'hecke_orbit_code': 90071992580972368, 'n': 18, 'trace_an': 0}
  • id: 250162018
    {'hecke_orbit_code': 90071992580972368, 'n': 19, 'trace_an': 20}
  • id: 250162019
    {'hecke_orbit_code': 90071992580972368, 'n': 20, 'trace_an': 0}
  • id: 250162020
    {'hecke_orbit_code': 90071992580972368, 'n': 21, 'trace_an': 4}
  • id: 250162021
    {'hecke_orbit_code': 90071992580972368, 'n': 22, 'trace_an': 0}
  • id: 250162022
    {'hecke_orbit_code': 90071992580972368, 'n': 23, 'trace_an': -1}
  • id: 250162023
    {'hecke_orbit_code': 90071992580972368, 'n': 24, 'trace_an': 0}
  • id: 250162024
    {'hecke_orbit_code': 90071992580972368, 'n': 25, 'trace_an': -6}
  • id: 250162025
    {'hecke_orbit_code': 90071992580972368, 'n': 26, 'trace_an': 0}
  • id: 250162026
    {'hecke_orbit_code': 90071992580972368, 'n': 27, 'trace_an': 5}
  • id: 250162027
    {'hecke_orbit_code': 90071992580972368, 'n': 28, 'trace_an': 0}
  • id: 250162028
    {'hecke_orbit_code': 90071992580972368, 'n': 29, 'trace_an': -5}
  • id: 250162029
    {'hecke_orbit_code': 90071992580972368, 'n': 30, 'trace_an': 0}
  • id: 250162030
    {'hecke_orbit_code': 90071992580972368, 'n': 31, 'trace_an': 18}
  • id: 250162031
    {'hecke_orbit_code': 90071992580972368, 'n': 32, 'trace_an': 0}
  • id: 250162032
    {'hecke_orbit_code': 90071992580972368, 'n': 33, 'trace_an': 7}
  • id: 250162033
    {'hecke_orbit_code': 90071992580972368, 'n': 34, 'trace_an': 0}
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  • id: 250162227
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  • id: 250162228
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  • id: 250162229
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  • id: 250162230
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  • id: 250162231
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  • id: 250162232
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  • id: 250162233
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  • id: 250162234
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  • id: 250162235
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  • id: 250162236
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  • id: 250162237
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  • id: 250162238
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  • id: 250162239
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  • id: 250162240
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  • id: 250162241
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  • id: 250162242
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  • id: 250162243
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  • id: 250162244
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  • id: 250162245
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  • id: 250162246
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  • id: 250162247
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  • id: 250162248
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  • id: 250162249
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  • id: 250162250
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  • id: 250162251
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  • id: 250162252
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  • id: 250162253
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  • id: 250162254
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  • id: 250162255
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  • id: 250162256
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  • id: 250162257
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  • id: 250162258
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  • id: 250162259
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  • id: 250162260
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  • id: 250162261
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  • id: 250162262
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  • id: 250162263
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  • id: 250162264
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  • id: 250162265
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  • id: 250162266
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  • id: 250162267
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  • id: 250162268
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  • id: 250162269
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  • id: 250162270
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  • id: 250162271
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  • id: 250162272
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  • id: 250162273
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  • id: 250162274
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  • id: 250162275
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  • id: 250162276
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  • id: 250162277
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  • id: 250162278
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  • id: 250162279
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  • id: 250162280
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  • id: 250162281
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  • id: 250162282
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  • id: 250162283
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  • id: 250162284
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  • id: 250162285
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  • id: 250162286
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  • id: 250162287
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  • id: 250162288
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  • id: 250162289
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  • id: 250162290
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  • id: 250162291
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  • id: 250162292
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  • id: 250162293
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  • id: 250162294
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  • id: 250162295
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  • id: 250162296
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  • id: 250162297
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  • id: 250162298
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  • id: 250162299
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  • id: 250162300
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  • id: 250162301
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  • id: 250162302
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  • id: 250162303
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  • id: 250162304
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  • id: 250162305
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  • id: 250162306
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  • id: 250162307
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  • id: 250162308
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  • id: 250162309
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  • id: 250162310
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  • id: 250162311
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  • id: 250162312
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  • id: 250162313
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  • id: 250162314
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  • id: 250162315
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  • id: 250162316
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  • id: 250162317
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  • id: 250162318
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  • id: 250162319
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  • id: 250162320
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  • id: 250162321
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  • id: 250162322
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  • id: 250162323
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  • id: 250162324
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  • id: 250162325
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  • id: 250162326
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  • id: 250162327
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  • id: 250162328
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  • id: 250162329
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  • id: 250162330
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  • id: 250162331
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  • id: 250162332
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  • id: 250162333
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  • id: 250162334
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  • id: 250162335
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  • id: 250162336
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  • id: 250162337
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  • id: 250162338
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  • id: 250162339
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  • id: 250162340
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  • id: 250162341
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  • id: 250162342
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  • id: 250162343
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  • id: 250162344
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  • id: 250162345
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  • id: 250162346
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  • id: 250162347
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  • id: 250162348
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  • id: 250162349
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  • id: 250162350
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  • id: 250162351
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  • id: 250162352
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  • id: 250162353
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  • id: 250162354
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  • id: 250162355
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  • id: 250162356
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  • id: 250162357
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  • id: 250162358
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  • id: 250162359
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  • id: 250162360
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  • id: 250162361
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  • id: 250162362
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  • id: 250162363
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  • id: 250162364
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  • id: 250162365
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  • id: 250162366
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  • id: 250162367
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  • id: 250162368
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  • id: 250162369
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  • id: 250162370
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  • id: 250162371
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  • id: 250162372
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  • id: 250162373
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  • id: 250162374
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  • id: 250162375
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  • id: 250162376
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  • id: 250162377
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  • id: 250162378
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  • id: 250162379
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  • id: 250162380
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  • id: 250162381
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  • id: 250162382
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  • id: 250162383
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  • id: 250162384
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  • id: 250162385
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  • id: 250162386
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  • id: 250162387
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  • id: 250162388
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  • id: 250162389
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  • id: 250162390
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  • id: 250162391
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  • id: 250162392
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  • id: 250162393
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  • id: 250162394
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  • id: 250162396
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  • id: 250162398
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  • id: 250162400
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  • id: 250162402
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  • id: 250162403
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  • id: 250162404
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  • id: 250162406
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  • id: 250162407
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  • id: 250162408
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  • id: 250162409
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  • id: 250162410
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  • id: 250162411
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  • id: 250162412
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  • id: 250162413
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  • id: 250162414
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  • id: 250162415
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  • id: 250162416
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  • id: 250162417
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  • id: 250162418
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  • id: 250162516
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  • id: 250162522
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  • id: 250162524
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  • id: 250162526
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  • id: 250162528
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  • id: 250162532
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  • id: 250162612
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  • id: 250162613
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  • id: 250162614
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  • id: 250162615
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  • id: 250162616
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  • id: 250162617
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  • id: 250162618
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  • id: 250162619
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  • id: 250162620
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  • id: 250162621
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  • id: 250162622
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  • id: 250162623
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  • id: 250162624
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  • id: 250162625
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  • id: 250162626
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  • id: 250162627
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  • id: 250162628
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  • id: 250162629
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  • id: 250162630
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  • id: 250162631
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  • id: 250162632
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  • id: 250162633
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  • id: 250162634
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  • id: 250162635
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  • id: 250162636
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  • id: 250162637
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  • id: 250162638
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  • id: 250162639
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  • id: 250162640
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  • id: 250162641
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  • id: 250162642
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  • id: 250162643
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  • id: 250162644
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  • id: 250162645
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  • id: 250162646
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  • id: 250162647
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  • id: 250162648
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  • id: 250162649
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  • id: 250162650
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  • id: 250162651
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  • id: 250162652
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  • id: 250162653
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  • id: 250162654
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  • id: 250162655
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  • id: 250162656
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  • id: 250162657
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  • id: 250162658
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  • id: 250162659
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  • id: 250162660
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  • id: 250162661
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  • id: 250162662
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  • id: 250162663
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  • id: 250162664
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  • id: 250162665
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  • id: 250162666
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  • id: 250162667
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  • id: 250162668
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  • id: 250162669
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  • id: 250162670
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  • id: 250162671
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  • id: 250162672
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  • id: 250162673
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  • id: 250162674
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  • id: 250162675
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  • id: 250162676
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  • id: 250162677
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  • id: 250162678
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  • id: 250162679
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  • id: 250162680
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  • id: 250162681
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  • id: 250162682
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  • id: 250162683
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  • id: 250162684
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  • id: 250162685
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  • id: 250162686
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  • id: 250162687
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  • id: 250162688
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  • id: 250162689
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  • id: 250162690
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  • id: 250162691
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  • id: 250162692
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  • id: 250162693
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  • id: 250162694
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  • id: 250162695
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  • id: 250162696
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  • id: 250162697
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  • id: 250162698
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  • id: 250162699
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  • id: 250162700
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  • id: 250162701
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  • id: 250162702
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  • id: 250162703
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  • id: 250162704
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  • id: 250162705
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  • id: 250162706
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  • id: 250162707
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  • id: 250162708
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  • id: 250162709
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  • id: 250162710
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  • id: 250162711
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  • id: 250162712
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  • id: 250162713
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  • id: 250162714
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  • id: 250162715
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  • id: 250162716
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  • id: 250162717
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  • id: 250162718
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  • id: 250162719
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  • id: 250162720
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  • id: 250162721
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  • id: 250162722
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  • id: 250162723
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  • id: 250162724
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  • id: 250162725
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  • id: 250162726
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  • id: 250162727
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  • id: 250162728
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  • id: 250162729
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  • id: 250162730
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  • id: 250162731
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  • id: 250162732
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  • id: 250162733
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  • id: 250162734
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  • id: 250162735
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  • id: 250162736
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  • id: 250162737
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  • id: 250162738
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  • id: 250162739
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  • id: 250162740
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  • id: 250162741
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  • id: 250162742
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  • id: 250162743
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  • id: 250162744
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  • id: 250162745
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  • id: 250162746
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  • id: 250162747
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  • id: 250162748
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  • id: 250162749
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  • id: 250162750
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  • id: 250162751
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  • id: 250162752
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  • id: 250162753
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  • id: 250162754
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  • id: 250162755
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  • id: 250162756
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  • id: 250162757
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  • id: 250162758
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  • id: 250162759
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  • id: 250162760
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  • id: 250162761
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  • id: 250162762
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  • id: 250162763
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  • id: 250162764
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  • id: 250162765
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  • id: 250162766
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  • id: 250162767
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  • id: 250162768
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  • id: 250162769
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  • id: 250162770
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  • id: 250162771
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  • id: 250162772
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  • id: 250162773
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  • id: 250162774
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  • id: 250162775
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  • id: 250162776
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  • id: 250162777
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  • id: 250162778
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  • id: 250162779
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  • id: 250162780
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  • id: 250162781
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  • id: 250162783
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  • id: 250162785
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  • id: 250162786
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  • id: 250162787
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  • id: 250162788
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  • id: 250162789
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  • id: 250162790
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  • id: 250162791
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  • id: 250162792
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  • id: 250162793
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  • id: 250162794
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  • id: 250162795
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  • id: 250162796
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  • id: 250162797
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  • id: 250162798
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  • id: 250162799
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  • id: 250162800
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  • id: 250162801
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  • id: 250162802
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  • id: 250162803
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  • id: 250162804
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  • id: 250162805
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  • id: 250162806
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  • id: 250162807
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  • id: 250162808
    {'hecke_orbit_code': 90071992580972368, 'n': 809, 'trace_an': 74}
  • id: 250162809
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  • id: 250162810
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  • id: 250162811
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  • id: 250162812
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  • id: 250162813
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  • id: 250162814
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  • id: 250162815
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  • id: 250162816
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  • id: 250162817
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  • id: 250162818
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  • id: 250162819
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  • id: 250162820
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  • id: 250162821
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  • id: 250162822
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  • id: 250162823
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  • id: 250162824
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  • id: 250162825
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  • id: 250162826
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  • id: 250162827
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  • id: 250162828
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  • id: 250162829
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  • id: 250162830
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  • id: 250162831
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  • id: 250162832
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  • id: 250162833
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  • id: 250162834
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  • id: 250162835
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  • id: 250162836
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  • id: 250162837
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  • id: 250162838
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  • id: 250162839
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  • id: 250162840
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  • id: 250162841
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  • id: 250162842
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  • id: 250162843
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  • id: 250162844
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  • id: 250162845
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  • id: 250162846
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  • id: 250162847
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  • id: 250162848
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  • id: 250162849
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  • id: 250162850
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  • id: 250162851
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  • id: 250162852
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  • id: 250162853
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  • id: 250162854
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  • id: 250162855
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  • id: 250162856
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  • id: 250162857
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  • id: 250162858
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  • id: 250162859
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  • id: 250162860
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  • id: 250162861
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  • id: 250162862
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  • id: 250162863
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  • id: 250162864
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  • id: 250162865
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  • id: 250162866
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  • id: 250162867
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  • id: 250162868
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  • id: 250162869
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  • id: 250162870
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  • id: 250162871
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  • id: 250162872
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  • id: 250162873
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  • id: 250162874
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  • id: 250162875
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  • id: 250162876
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  • id: 250162877
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  • id: 250162878
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  • id: 250162879
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  • id: 250162880
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  • id: 250162881
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  • id: 250162882
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  • id: 250162883
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  • id: 250162884
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  • id: 250162885
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  • id: 250162886
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  • id: 250162887
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  • id: 250162888
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  • id: 250162889
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  • id: 250162890
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  • id: 250162891
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  • id: 250162892
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  • id: 250162893
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  • id: 250162894
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  • id: 250162895
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  • id: 250162896
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  • id: 250162897
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  • id: 250162898
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  • id: 250162899
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  • id: 250162900
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  • id: 250162901
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  • id: 250162902
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  • id: 250162903
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  • id: 250162904
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  • id: 250162905
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  • id: 250162906
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  • id: 250162907
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  • id: 250162908
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  • id: 250162909
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  • id: 250162910
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  • id: 250162911
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  • id: 250162912
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  • id: 250162913
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  • id: 250162914
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  • id: 250162915
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  • id: 250162916
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  • id: 250162917
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  • id: 250162918
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  • id: 250162919
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  • id: 250162920
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  • id: 250162921
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  • id: 250162922
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  • id: 250162923
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  • id: 250162924
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  • id: 250162925
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  • id: 250162926
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  • id: 250162927
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  • id: 250162928
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  • id: 250162929
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  • id: 250162930
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  • id: 250162931
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  • id: 250162932
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  • id: 250162933
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  • id: 250162934
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  • id: 250162935
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  • id: 250162936
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  • id: 250162937
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  • id: 250162938
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  • id: 250162939
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  • id: 250162940
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  • id: 250162941
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  • id: 250162942
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  • id: 250162943
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  • id: 250162944
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  • id: 250162945
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  • id: 250162946
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  • id: 250162947
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  • id: 250162948
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  • id: 250162949
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  • id: 250162950
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  • id: 250162951
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  • id: 250162952
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  • id: 250162953
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  • id: 250162954
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  • id: 250162955
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  • id: 250162956
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  • id: 250162957
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  • id: 250162958
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  • id: 250162959
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  • id: 250162960
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  • id: 250162961
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  • id: 250162962
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  • id: 250162963
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  • id: 250162964
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  • id: 250162965
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  • id: 250162966
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  • id: 250162967
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  • id: 250162968
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  • id: 250162969
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  • id: 250162970
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  • id: 250162971
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  • id: 250162972
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  • id: 250162973
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  • id: 250162974
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  • id: 250162975
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  • id: 250162976
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  • id: 250162977
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  • id: 250162978
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  • id: 250162979
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  • id: 250162980
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  • id: 250162981
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  • id: 250162982
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  • id: 250162983
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  • id: 250162984
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  • id: 250162985
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  • id: 250162986
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  • id: 250162987
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  • id: 250162988
    {'hecke_orbit_code': 90071992580972368, 'n': 989, 'trace_an': -47}
  • id: 250162989
    {'hecke_orbit_code': 90071992580972368, 'n': 990, 'trace_an': 0}
  • id: 250162990
    {'hecke_orbit_code': 90071992580972368, 'n': 991, 'trace_an': 17}
  • id: 250162991
    {'hecke_orbit_code': 90071992580972368, 'n': 992, 'trace_an': 0}
  • id: 250162992
    {'hecke_orbit_code': 90071992580972368, 'n': 993, 'trace_an': -5}
  • id: 250162993
    {'hecke_orbit_code': 90071992580972368, 'n': 994, 'trace_an': 0}
  • id: 250162994
    {'hecke_orbit_code': 90071992580972368, 'n': 995, 'trace_an': -43}
  • id: 250162995
    {'hecke_orbit_code': 90071992580972368, 'n': 996, 'trace_an': 0}
  • id: 250162996
    {'hecke_orbit_code': 90071992580972368, 'n': 997, 'trace_an': -1}
  • id: 250162997
    {'hecke_orbit_code': 90071992580972368, 'n': 998, 'trace_an': 0}
  • id: 250162998
    {'hecke_orbit_code': 90071992580972368, 'n': 999, 'trace_an': -17}
  • id: 250162999
    {'hecke_orbit_code': 90071992580972368, 'n': 1000, 'trace_an': 0}