Embedded newform data - 245.10.a.b.1.1

Formats: - HTML - YAML - JSON - 2025-01-13T23:18:21.264676

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 24500, 'analytic_conductor': 126.18377986014892, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[5, 1], [7, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [245, 1, [197, 101], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-28, 1]], [3, [-116, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599795142901, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '245.10.a.b', 'level': 245, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [5, 7], 'level_radical': 35, 'minimal_twist': '35.10.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+28q^{2}+116q^{3}+272q^{4}-5^{4}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '245.10.a', 'trace_display': [28, 116, -625, 0], 'trace_hash': 1316242284433812675, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.006', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.977', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.899', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.624', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 28, 116, 272, -625, 3248, 0, -6720, -6227, -17500, -25548, 31552, 42306, 0, -72500, -327424, 526342, -174356, 350060, -170000, 0, -715344, -621976, -779520, 390625, 1184568, -3005560, 0, 6720430, -2030000, 6412208, -5727232, -2963568, 14737576, 0, -1693744, -2317682, 9801680, 4907496, 4200000, 10224678, 0, 30114004, -6949056, 3891875, -17415328, 23644912, -37981184, 0, 10937500, 61055672, 11507232, 57292654, -84155680, 15967500, 0, 40606960, 188172040, -84934780, -19720000, -14677822, 179541824, 0, 7278592, -26441250, -82979904, -244557812, 143165024, -72149216, 0, 61901952, 41845440, 283763726, -64895096, 45312500, 95216320, 0, 137409888, 276107480, 204640000, -226078919, 286290984, 72995956, 0, -328963750, 843192112, 779569880, 171682560, 896368470, 108972500, 0, -169177472, 743816128, 662057536, -218787500, -664358912, -1205809578, 0, 159087396, 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• 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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-0.3185646242540285, -0.27935784090891475, -0.37602684543890186, -0.1699525136042623, -0.4491337087019042, -0.31886368234190776, -0.2719714240423411, -0.16269253573648254, -0.22039247640330872, -0.23610406158536387, -0.2923856243612902], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599795142901, 'label': '245.10.a.b.1.1', 'level': 245, 'weight': 10}
• mf_newspaces •

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

  
  {'ALdims': [29, 33, 31, 30], 'Nk2': 24500, 'analytic_conductor': 126.18377986014892, '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': [245, 1, [197, 101], [1, 1]], 'conrey_index': 1, 'cusp_dim': 244, 'dim': 123, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 167772405, 'hecke_orbit_dims': [1, 1, 2, 2, 4, 5, 6, 9, 9, 11, 11, 13, 13, 18, 18], 'label': '245.10.a', 'level': 245, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [5, 7], 'level_radical': 35, 'mf_dim': 260, 'mf_new_dim': 123, 'num_forms': 15, 'plus_dim': 59, 'prim_orbit_index': 1, 'relative_dim': 123, 'sturm_bound': 280, 'trace_bound': 3, 'trace_display': [50, 146, -625, 0], 'traces': [123, 50, 146, 30976, -625, 120, 0, 55332, 747647, -21250, 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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: 34462643
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599795142901, 'source_is_minimal': False, 'source_label': '245.10.a.b.1.1', 'source_level': 245, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599795142901, 'target_is_minimal': False, 'target_label': '245.10.a.b.1.1', 'target_level': 245, 'twist_class_label': '35.10.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 34462644
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599795142901, 'source_is_minimal': False, 'source_label': '245.10.a.b.1.1', 'source_level': 245, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772195, 'target_is_minimal': True, 'target_label': '35.10.a.a.1.1', 'target_level': 35, 'twist_class_label': '35.10.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 10}
  • id: 34462645
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599795142901, 'source_is_minimal': False, 'source_label': '245.10.a.b.1.1', 'source_level': 245, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772475, 'target_is_minimal': False, 'target_label': '315.10.a.a.1.1', 'target_level': 315, 'twist_class_label': '35.10.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 10}
  • id: 34462646
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599795142901, 'source_is_minimal': False, 'source_label': '245.10.a.b.1.1', 'source_level': 245, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68887249071, 'target_is_minimal': False, 'target_label': '175.10.b.a.99.1', 'target_level': 175, 'twist_class_label': '35.10.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '35.13', 'twisting_conrey_index': 13, 'weight': 10}
  • id: 34462647
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599795142901, 'source_is_minimal': False, 'source_label': '245.10.a.b.1.1', 'source_level': 245, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68887249071, 'target_is_minimal': False, 'target_label': '175.10.b.a.99.2', 'target_level': 175, 'twist_class_label': '35.10.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '35.27', 'twisting_conrey_index': 27, 'weight': 10}
  • id: 34462648
    {'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599795142901, 'source_is_minimal': False, 'source_label': '245.10.a.b.1.1', 'source_level': 245, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772335, 'target_is_minimal': False, 'target_label': '175.10.a.a.1.1', 'target_level': 175, 'twist_class_label': '35.10.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 579175
    {'charpoly_factorization': [[[-28, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 2}
  • id: 579176
    {'charpoly_factorization': [[[-116, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 3}
  • id: 579177
    {'charpoly_factorization': [[[625, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 5}
  • id: 579178
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 7}
  • id: 579179
    {'charpoly_factorization': [[[25548, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 11}
  • id: 579180
    {'charpoly_factorization': [[[-42306, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 13}
  • id: 579181
    {'charpoly_factorization': [[[-526342, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 17}
  • id: 579182
    {'charpoly_factorization': [[[-350060, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 19}
  • id: 579183
    {'charpoly_factorization': [[[621976, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 23}
  • id: 579184
    {'charpoly_factorization': [[[-6720430, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 29}
  • id: 579185
    {'charpoly_factorization': [[[-6412208, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 31}
  • id: 579186
    {'charpoly_factorization': [[[2317682, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 37}
  • id: 579187
    {'charpoly_factorization': [[[-10224678, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 41}
  • id: 579188
    {'charpoly_factorization': [[[-30114004, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 43}
  • id: 579189
    {'charpoly_factorization': [[[-23644912, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 47}
  • id: 579190
    {'charpoly_factorization': [[[-57292654, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 53}
  • id: 579191
    {'charpoly_factorization': [[[84934780, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 59}
  • id: 579192
    {'charpoly_factorization': [[[14677822, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 61}
  • id: 579193
    {'charpoly_factorization': [[[244557812, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 67}
  • id: 579194
    {'charpoly_factorization': [[[-61901952, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 71}
  • id: 579195
    {'charpoly_factorization': [[[-283763726, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 73}
  • id: 579196
    {'charpoly_factorization': [[[-276107480, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 79}
  • id: 579197
    {'charpoly_factorization': [[[-72995956, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 83}
  • id: 579198
    {'charpoly_factorization': [[[-896368470, 1], 1]], 'hecke_orbit_code': 4503599795142901, 'p': 89}
  • id: 579199
    {'charpoly_factorization': [[[1205809578, 1], 1]], 'hecke_orbit_code': 4503599795142901, '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': 2, 'label': '245.10.a.b', 'level': 245, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 19744548
    {'hecke_orbit_code': 4503599795142901, 'n': 1, 'trace_an': 1}
  • id: 19744549
    {'hecke_orbit_code': 4503599795142901, 'n': 2, 'trace_an': 28}
  • id: 19744550
    {'hecke_orbit_code': 4503599795142901, 'n': 3, 'trace_an': 116}
  • id: 19744551
    {'hecke_orbit_code': 4503599795142901, 'n': 4, 'trace_an': 272}
  • id: 19744552
    {'hecke_orbit_code': 4503599795142901, 'n': 5, 'trace_an': -625}
  • id: 19744553
    {'hecke_orbit_code': 4503599795142901, 'n': 6, 'trace_an': 3248}
  • id: 19744554
    {'hecke_orbit_code': 4503599795142901, 'n': 7, 'trace_an': 0}
  • id: 19744555
    {'hecke_orbit_code': 4503599795142901, 'n': 8, 'trace_an': -6720}
  • id: 19744556
    {'hecke_orbit_code': 4503599795142901, 'n': 9, 'trace_an': -6227}
  • id: 19744557
    {'hecke_orbit_code': 4503599795142901, 'n': 10, 'trace_an': -17500}
  • id: 19744558
    {'hecke_orbit_code': 4503599795142901, 'n': 11, 'trace_an': -25548}
  • id: 19744559
    {'hecke_orbit_code': 4503599795142901, 'n': 12, 'trace_an': 31552}
  • id: 19744560
    {'hecke_orbit_code': 4503599795142901, 'n': 13, 'trace_an': 42306}
  • id: 19744561
    {'hecke_orbit_code': 4503599795142901, 'n': 14, 'trace_an': 0}
  • id: 19744562
    {'hecke_orbit_code': 4503599795142901, 'n': 15, 'trace_an': -72500}
  • id: 19744563
    {'hecke_orbit_code': 4503599795142901, 'n': 16, 'trace_an': -327424}
  • id: 19744564
    {'hecke_orbit_code': 4503599795142901, 'n': 17, 'trace_an': 526342}
  • id: 19744565
    {'hecke_orbit_code': 4503599795142901, 'n': 18, 'trace_an': -174356}
  • id: 19744566
    {'hecke_orbit_code': 4503599795142901, 'n': 19, 'trace_an': 350060}
  • id: 19744567
    {'hecke_orbit_code': 4503599795142901, 'n': 20, 'trace_an': -170000}
  • id: 19744568
    {'hecke_orbit_code': 4503599795142901, 'n': 21, 'trace_an': 0}
  • id: 19744569
    {'hecke_orbit_code': 4503599795142901, 'n': 22, 'trace_an': -715344}
  • id: 19744570
    {'hecke_orbit_code': 4503599795142901, 'n': 23, 'trace_an': -621976}
  • id: 19744571
    {'hecke_orbit_code': 4503599795142901, 'n': 24, 'trace_an': -779520}
  • id: 19744572
    {'hecke_orbit_code': 4503599795142901, 'n': 25, 'trace_an': 390625}
  • id: 19744573
    {'hecke_orbit_code': 4503599795142901, 'n': 26, 'trace_an': 1184568}
  • id: 19744574
    {'hecke_orbit_code': 4503599795142901, 'n': 27, 'trace_an': -3005560}
  • id: 19744575
    {'hecke_orbit_code': 4503599795142901, 'n': 28, 'trace_an': 0}
  • id: 19744576
    {'hecke_orbit_code': 4503599795142901, 'n': 29, 'trace_an': 6720430}
  • id: 19744577
    {'hecke_orbit_code': 4503599795142901, 'n': 30, 'trace_an': -2030000}
  • id: 19744578
    {'hecke_orbit_code': 4503599795142901, 'n': 31, 'trace_an': 6412208}
  • id: 19744579
    {'hecke_orbit_code': 4503599795142901, 'n': 32, 'trace_an': -5727232}
  • id: 19744580
    {'hecke_orbit_code': 4503599795142901, 'n': 33, 'trace_an': -2963568}
  • id: 19744581
    {'hecke_orbit_code': 4503599795142901, 'n': 34, 'trace_an': 14737576}
  • id: 19744582
    {'hecke_orbit_code': 4503599795142901, 'n': 35, 'trace_an': 0}
  • id: 19744583
    {'hecke_orbit_code': 4503599795142901, 'n': 36, 'trace_an': -1693744}
  • id: 19744584
    {'hecke_orbit_code': 4503599795142901, 'n': 37, 'trace_an': -2317682}
  • id: 19744585
    {'hecke_orbit_code': 4503599795142901, 'n': 38, 'trace_an': 9801680}
  • id: 19744586
    {'hecke_orbit_code': 4503599795142901, 'n': 39, 'trace_an': 4907496}
  • id: 19744587
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