Embedded newform data - 9072.2.a.y.1.1

Formats: - HTML - YAML - JSON - 2025-05-24T01:03:14.206685

• 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': 36288, 'analytic_conductor': 72.44028471370557, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [7, -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': [9072, 1, [1135, 6805, 3809, 2593], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 12, 'field_disc_factorization': [[2, 2], [3, 1]], 'field_poly': [-3, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 12, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [1, 4, 1]], [11, [-26, -2, 1]], [13, [-3, 6, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090455408, '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_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '9072.2.a.y', 'level': 9072, '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': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '1134.2.a.l', 'nf_label': '2.2.12.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-2+\\beta )q^{5}+q^{7}+(1+3\\beta )q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9072.2.a', 'trace_display': [0, 0, -4, 2], 'trace_hash': 345860649796929235, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.023', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.951', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.194', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.438', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.643', 'prec': 17}, {'__RealLiteral__': 0, 'data': '64.290', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.010', 'prec': 17}, 'traces': [2, 0, 0, 0, -4, 0, 2, 0, 0, 0, 2, 0, -6, 0, 0, 0, -14, 0, 2, 0, 0, 0, 2, 0, 4, 0, 0, 0, -10, 0, -6, 0, 0, 0, -4, 0, 4, 0, 0, 0, -12, 0, -4, 0, 0, 0, 6, 0, 2, 0, 0, 0, 12, 0, 14, 0, 0, 0, -2, 0, -6, 0, 0, 0, 0, 0, 10, 0, 0, 0, 20, 0, 20, 0, 0, 0, 2, 0, -6, 0, 0, 0, 2, 0, 28, 0, 0, 0, -6, 0, -6, 0, 0, 0, -10, 0, 8, 0, 0, 0, -4, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 8, 0, -22, 0, 0, 0, -14, 0, 34, 0, 0, 0, -12, 0, -24, 0, 0, 0, 28, 0, 2, 0, 0, 0, 20, 0, 10, 0, 0, 0, -42, 0, 32, 0, 0, 0, -18, 0, 22, 0, 0, 0, -6, 0, -2, 0, 0, 0, 2, 0, 20, 0, 0, 0, -14, 0, 16, 0, 0, 0, -16, 0, 4, 0, 0, 0, 6, 0, -12, 0, 0, 0, 22, 0, -14, 0, 0, 0, 6, 0, 10, 0, 0, 0, 10, 0, 14, 0, 0, 0, -10, 0, 36, 0, 0, 0, -16, 0, 38, 0, 0, 0, 20, 0, -6, 0, 0, 0, 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0, 0, 0, -72, 0, 66, 0, 0, 0, 160, 0, -42, 0, 0, 0, -98, 0, 144, 0, 0, 0, -84, 0, 98, 0, 0, 0, 8, 0, 96, 0, 0, 0, 24, 0, 96, 0, 0, 0, 30, 0, 26, 0, 0, 0, -74, 0, -96, 0, 0, 0, 30, 0, 64, 0, 0, 0, 64, 0, -18, 0, 0, 0, 54, 0, -84, 0, 0, 0, 60, 0, 24, 0, 0, 0, 182, 0, 12, 0, 0, 0, 78, 0, 70, 0, 0, 0, -112, 0, 204], '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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-0.3028184724752341, -0.16096375049621334, -0.2896771836657593, -0.39999738451726846, -0.2523623507573829, -0.31676778627701757, -0.18823756529931737, -0.21187345352406284, -0.44767512841319784, -0.13721442871328807, -0.1127182725508415, -0.2107658707732233, -0.24475752068682322, -0.2975457939183619, -0.3329703267503079, -0.25876221424917695, -0.2982320579157801, -0.24691371569503107, -0.2111546175919105, -0.030165800055359158, -0.13519334239501055, -0.10892224553676916, -0.10598347805713468, -0.30136922625183504, -0.2886970125929002, -0.13975202809348464, -0.23359179900416427, -0.4200521158373419, -0.23176742259185779, -0.3012758047698129, -0.25779692249010966, -0.18243189947145136, -0.17846777249531948, -0.2352830878426083, -0.33733332901142277, -0.22079753931215196, -0.04267187684383079, -0.26752869988192246, -0.26713591612534254, -0.3850272766924629, -0.1412682072539928, -0.09924248139187607, -0.3630342354193195, -0.16215155906171524, -0.20013405022479738, -0.09950635456485364, -0.240364376385933], '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': -1.7320508075688772, 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090455408, 'label': '9072.2.a.y.1.1', 'level': 9072, 'weight': 2}
• 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': [19, 19, 17, 17, 19, 15, 17, 21], 'Nk2': 36288, 'analytic_conductor': 72.44028471370557, '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': [9072, 1, [1135, 6805, 3809, 2593], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1657, 'dim': 144, 'eis_dim': 143, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 13], 'hecke_orbit_code': 33563504, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5], 'label': '9072.2.a', 'level': 9072, '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': [2, 3, 7], 'level_radical': 42, 'mf_dim': 1800, 'mf_new_dim': 144, 'num_forms': 66, 'plus_dim': 68, 'prim_orbit_index': 1, 'relative_dim': 144, 'sturm_bound': 3456, 'trace_bound': 17, 'trace_display': [0, 0, 0, 0], 'traces': [144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 408, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 600, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 624, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, -168, 0, 0, 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: 48548875
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090455408, 'source_is_minimal': False, 'source_label': '9072.2.a.y.1.1', 'source_level': 9072, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391090455408, 'target_is_minimal': False, 'target_label': '9072.2.a.y.1.1', 'target_level': 9072, 'twist_class_label': '1134.2.a.l.1.2', 'twist_class_level': 1134, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48548876
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090455408, 'source_is_minimal': False, 'source_label': '9072.2.a.y.1.1', 'source_level': 9072, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 184647584755753840, 'target_is_minimal': False, 'target_label': '9072.2.a.bp.1.2', 'target_level': 9072, 'twist_class_label': '1134.2.a.l.1.2', 'twist_class_level': 1134, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48548877
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090455408, 'source_is_minimal': False, 'source_label': '9072.2.a.y.1.1', 'source_level': 9072, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043195562001518, 'target_is_minimal': True, 'target_label': '1134.2.a.m.1.1', 'target_level': 1134, 'twist_class_label': '1134.2.a.l.1.2', 'twist_class_level': 1134, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48548878
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090455408, 'source_is_minimal': False, 'source_label': '9072.2.a.y.1.1', 'source_level': 9072, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539595934631022, 'target_is_minimal': True, 'target_label': '1134.2.a.l.1.2', 'target_level': 1134, 'twist_class_label': '1134.2.a.l.1.2', 'twist_class_level': 1134, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48548879
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090455408, 'source_is_minimal': False, 'source_label': '9072.2.a.y.1.1', 'source_level': 9072, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 202661983265234690, 'target_is_minimal': False, 'target_label': '7938.2.a.bt.1.2', 'target_level': 7938, 'twist_class_label': '1134.2.a.l.1.2', 'twist_class_level': 1134, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 48548880
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090455408, 'source_is_minimal': False, 'source_label': '9072.2.a.y.1.1', 'source_level': 9072, 'target_conrey_index': 757, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 76561537296237678, 'target_is_minimal': False, 'target_label': '1134.2.f.r.757.2', 'target_level': 1134, 'twist_class_label': '1134.2.a.l.1.2', 'twist_class_level': 1134, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 48548881
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090455408, 'source_is_minimal': False, 'source_label': '9072.2.a.y.1.1', 'source_level': 9072, 'target_conrey_index': 757, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81065136923608174, 'target_is_minimal': False, 'target_label': '1134.2.f.s.757.1', 'target_level': 1134, 'twist_class_label': '1134.2.a.l.1.2', 'twist_class_level': 1134, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48548882
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090455408, 'source_is_minimal': False, 'source_label': '9072.2.a.y.1.1', 'source_level': 9072, 'target_conrey_index': 379, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81065136923608174, 'target_is_minimal': False, 'target_label': '1134.2.f.s.379.1', 'target_level': 1134, 'twist_class_label': '1134.2.a.l.1.2', 'twist_class_level': 1134, 'twisting_char_label': '36.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 48548883
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090455408, 'source_is_minimal': False, 'source_label': '9072.2.a.y.1.1', 'source_level': 9072, 'target_conrey_index': 379, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 76561537296237678, 'target_is_minimal': False, 'target_label': '1134.2.f.r.379.2', 'target_level': 1134, 'twist_class_label': '1134.2.a.l.1.2', 'twist_class_level': 1134, 'twisting_char_label': '36.31', 'twisting_conrey_index': 31, 'weight': 2}
  • id: 48548884
    {'conductor': 84, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090455408, 'source_is_minimal': False, 'source_label': '9072.2.a.y.1.1', 'source_level': 9072, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 144115188109418242, 'target_is_minimal': False, 'target_label': '7938.2.a.bg.1.1', 'target_level': 7938, 'twist_class_label': '1134.2.a.l.1.2', 'twist_class_level': 1134, 'twisting_char_label': '84.83', 'twisting_conrey_index': 83, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4926200
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 108086391090455408, 'p': 2}
  • id: 4926201
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 108086391090455408, 'p': 3}
  • id: 4926202
    {'charpoly_factorization': [[[1, 4, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 5}
  • id: 4926203
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 108086391090455408, 'p': 7}
  • id: 4926204
    {'charpoly_factorization': [[[-26, -2, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 11}
  • id: 4926205
    {'charpoly_factorization': [[[-3, 6, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 13}
  • id: 4926206
    {'charpoly_factorization': [[[7, 1], 2]], 'hecke_orbit_code': 108086391090455408, 'p': 17}
  • id: 4926207
    {'charpoly_factorization': [[[-2, -2, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 19}
  • id: 4926208
    {'charpoly_factorization': [[[-26, -2, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 23}
  • id: 4926209
    {'charpoly_factorization': [[[13, 10, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 29}
  • id: 4926210
    {'charpoly_factorization': [[[-18, 6, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 31}
  • id: 4926211
    {'charpoly_factorization': [[[-71, -4, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 37}
  • id: 4926212
    {'charpoly_factorization': [[[24, 12, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 41}
  • id: 4926213
    {'charpoly_factorization': [[[-8, 4, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 43}
  • id: 4926214
    {'charpoly_factorization': [[[6, -6, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 47}
  • id: 4926215
    {'charpoly_factorization': [[[24, -12, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 53}
  • id: 4926216
    {'charpoly_factorization': [[[-26, 2, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 59}
  • id: 4926217
    {'charpoly_factorization': [[[-39, 6, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 61}
  • id: 4926218
    {'charpoly_factorization': [[[22, -10, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 67}
  • id: 4926219
    {'charpoly_factorization': [[[88, -20, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 71}
  • id: 4926220
    {'charpoly_factorization': [[[97, -20, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 73}
  • id: 4926221
    {'charpoly_factorization': [[[-138, 6, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 79}
  • id: 4926222
    {'charpoly_factorization': [[[-242, -2, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 83}
  • id: 4926223
    {'charpoly_factorization': [[[-39, 6, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 89}
  • id: 4926224
    {'charpoly_factorization': [[[-32, -8, 1], 1]], 'hecke_orbit_code': 108086391090455408, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 25, 'label': '9072.2.a.y', 'level': 9072, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 66607837
    {'hecke_orbit_code': 108086391090455408, 'n': 1, 'trace_an': 2}
  • id: 66607838
    {'hecke_orbit_code': 108086391090455408, 'n': 2, 'trace_an': 0}
  • id: 66607839
    {'hecke_orbit_code': 108086391090455408, 'n': 3, 'trace_an': 0}
  • id: 66607840
    {'hecke_orbit_code': 108086391090455408, 'n': 4, 'trace_an': 0}
  • id: 66607841
    {'hecke_orbit_code': 108086391090455408, 'n': 5, 'trace_an': -4}
  • id: 66607842
    {'hecke_orbit_code': 108086391090455408, 'n': 6, 'trace_an': 0}
  • id: 66607843
    {'hecke_orbit_code': 108086391090455408, 'n': 7, 'trace_an': 2}
  • id: 66607844
    {'hecke_orbit_code': 108086391090455408, 'n': 8, 'trace_an': 0}
  • id: 66607845
    {'hecke_orbit_code': 108086391090455408, 'n': 9, 'trace_an': 0}
  • id: 66607846
    {'hecke_orbit_code': 108086391090455408, 'n': 10, 'trace_an': 0}
  • id: 66607847
    {'hecke_orbit_code': 108086391090455408, 'n': 11, 'trace_an': 2}
  • id: 66607848
    {'hecke_orbit_code': 108086391090455408, 'n': 12, 'trace_an': 0}
  • id: 66607849
    {'hecke_orbit_code': 108086391090455408, 'n': 13, 'trace_an': -6}
  • id: 66607850
    {'hecke_orbit_code': 108086391090455408, 'n': 14, 'trace_an': 0}
  • id: 66607851
    {'hecke_orbit_code': 108086391090455408, 'n': 15, 'trace_an': 0}
  • id: 66607852
    {'hecke_orbit_code': 108086391090455408, 'n': 16, 'trace_an': 0}
  • id: 66607853
    {'hecke_orbit_code': 108086391090455408, 'n': 17, 'trace_an': -14}
  • id: 66607854
    {'hecke_orbit_code': 108086391090455408, 'n': 18, 'trace_an': 0}
  • id: 66607855
    {'hecke_orbit_code': 108086391090455408, 'n': 19, 'trace_an': 2}
  • id: 66607856
    {'hecke_orbit_code': 108086391090455408, 'n': 20, 'trace_an': 0}
  • id: 66607857
    {'hecke_orbit_code': 108086391090455408, 'n': 21, 'trace_an': 0}
  • id: 66607858
    {'hecke_orbit_code': 108086391090455408, 'n': 22, 'trace_an': 0}
  • id: 66607859
    {'hecke_orbit_code': 108086391090455408, 'n': 23, 'trace_an': 2}
  • id: 66607860
    {'hecke_orbit_code': 108086391090455408, 'n': 24, 'trace_an': 0}
  • id: 66607861
    {'hecke_orbit_code': 108086391090455408, 'n': 25, 'trace_an': 4}
  • id: 66607862
    {'hecke_orbit_code': 108086391090455408, 'n': 26, 'trace_an': 0}
  • id: 66607863
    {'hecke_orbit_code': 108086391090455408, 'n': 27, 'trace_an': 0}
  • id: 66607864
    {'hecke_orbit_code': 108086391090455408, 'n': 28, 'trace_an': 0}
  • id: 66607865
    {'hecke_orbit_code': 108086391090455408, 'n': 29, 'trace_an': -10}
  • id: 66607866
    {'hecke_orbit_code': 108086391090455408, 'n': 30, 'trace_an': 0}
  • id: 66607867
    {'hecke_orbit_code': 108086391090455408, 'n': 31, 'trace_an': -6}
  • id: 66607868
    {'hecke_orbit_code': 108086391090455408, 'n': 32, 'trace_an': 0}
  • id: 66607869
    {'hecke_orbit_code': 108086391090455408, 'n': 33, 'trace_an': 0}
  • id: 66607870
    {'hecke_orbit_code': 108086391090455408, 'n': 34, 'trace_an': 0}
  • id: 66607871
    {'hecke_orbit_code': 108086391090455408, 'n': 35, 'trace_an': -4}
  • id: 66607872
    {'hecke_orbit_code': 108086391090455408, 'n': 36, 'trace_an': 0}
  • id: 66607873
    {'hecke_orbit_code': 108086391090455408, 'n': 37, 'trace_an': 4}
  • id: 66607874
    {'hecke_orbit_code': 108086391090455408, 'n': 38, 'trace_an': 0}
  • id: 66607875
    {'hecke_orbit_code': 108086391090455408, 'n': 39, 'trace_an': 0}
  • id: 66607876
    {'hecke_orbit_code': 108086391090455408, 'n': 40, 'trace_an': 0}
  • id: 66607877
    {'hecke_orbit_code': 108086391090455408, 'n': 41, 'trace_an': -12}
  • id: 66607878
    {'hecke_orbit_code': 108086391090455408, 'n': 42, 'trace_an': 0}
  • id: 66607879
    {'hecke_orbit_code': 108086391090455408, 'n': 43, 'trace_an': -4}
  • id: 66607880
    {'hecke_orbit_code': 108086391090455408, 'n': 44, 'trace_an': 0}
  • id: 66607881
    {'hecke_orbit_code': 108086391090455408, 'n': 45, 'trace_an': 0}
  • id: 66607882
    {'hecke_orbit_code': 108086391090455408, 'n': 46, 'trace_an': 0}
  • id: 66607883
    {'hecke_orbit_code': 108086391090455408, 'n': 47, 'trace_an': 6}
  • id: 66607884
    {'hecke_orbit_code': 108086391090455408, 'n': 48, 'trace_an': 0}
  • id: 66607885
    {'hecke_orbit_code': 108086391090455408, 'n': 49, 'trace_an': 2}
  • id: 66607886
    {'hecke_orbit_code': 108086391090455408, 'n': 50, 'trace_an': 0}
  • id: 66607887
    {'hecke_orbit_code': 108086391090455408, 'n': 51, 'trace_an': 0}
  • id: 66607888
    {'hecke_orbit_code': 108086391090455408, 'n': 52, 'trace_an': 0}
  • id: 66607889
    {'hecke_orbit_code': 108086391090455408, 'n': 53, 'trace_an': 12}
  • id: 66607890
    {'hecke_orbit_code': 108086391090455408, 'n': 54, 'trace_an': 0}
  • id: 66607891
    {'hecke_orbit_code': 108086391090455408, 'n': 55, 'trace_an': 14}
  • id: 66607892
    {'hecke_orbit_code': 108086391090455408, 'n': 56, 'trace_an': 0}
  • id: 66607893
    {'hecke_orbit_code': 108086391090455408, 'n': 57, 'trace_an': 0}
  • id: 66607894
    {'hecke_orbit_code': 108086391090455408, 'n': 58, 'trace_an': 0}
  • id: 66607895
    {'hecke_orbit_code': 108086391090455408, 'n': 59, 'trace_an': -2}
  • id: 66607896
    {'hecke_orbit_code': 108086391090455408, 'n': 60, 'trace_an': 0}
  • id: 66607897
    {'hecke_orbit_code': 108086391090455408, 'n': 61, 'trace_an': -6}
  • id: 66607898
    {'hecke_orbit_code': 108086391090455408, 'n': 62, 'trace_an': 0}
  • id: 66607899
    {'hecke_orbit_code': 108086391090455408, 'n': 63, 'trace_an': 0}
  • id: 66607900
    {'hecke_orbit_code': 108086391090455408, 'n': 64, 'trace_an': 0}
  • id: 66607901
    {'hecke_orbit_code': 108086391090455408, 'n': 65, 'trace_an': 0}
  • id: 66607902
    {'hecke_orbit_code': 108086391090455408, 'n': 66, 'trace_an': 0}
  • id: 66607903
    {'hecke_orbit_code': 108086391090455408, 'n': 67, 'trace_an': 10}
  • id: 66607904
    {'hecke_orbit_code': 108086391090455408, 'n': 68, 'trace_an': 0}
  • id: 66607905
    {'hecke_orbit_code': 108086391090455408, 'n': 69, 'trace_an': 0}
  • id: 66607906
    {'hecke_orbit_code': 108086391090455408, 'n': 70, 'trace_an': 0}
  • id: 66607907
    {'hecke_orbit_code': 108086391090455408, 'n': 71, 'trace_an': 20}
  • id: 66607908
    {'hecke_orbit_code': 108086391090455408, 'n': 72, 'trace_an': 0}
  • id: 66607909
    {'hecke_orbit_code': 108086391090455408, 'n': 73, 'trace_an': 20}
  • id: 66607910
    {'hecke_orbit_code': 108086391090455408, 'n': 74, 'trace_an': 0}
  • id: 66607911
    {'hecke_orbit_code': 108086391090455408, 'n': 75, 'trace_an': 0}
  • id: 66607912
    {'hecke_orbit_code': 108086391090455408, 'n': 76, 'trace_an': 0}
  • id: 66607913
    {'hecke_orbit_code': 108086391090455408, 'n': 77, 'trace_an': 2}
  • id: 66607914
    {'hecke_orbit_code': 108086391090455408, 'n': 78, 'trace_an': 0}
  • id: 66607915
    {'hecke_orbit_code': 108086391090455408, 'n': 79, 'trace_an': -6}
  • id: 66607916
    {'hecke_orbit_code': 108086391090455408, 'n': 80, 'trace_an': 0}
  • id: 66607917
    {'hecke_orbit_code': 108086391090455408, 'n': 81, 'trace_an': 0}
  • id: 66607918
    {'hecke_orbit_code': 108086391090455408, 'n': 82, 'trace_an': 0}
  • id: 66607919
    {'hecke_orbit_code': 108086391090455408, 'n': 83, 'trace_an': 2}
  • id: 66607920
    {'hecke_orbit_code': 108086391090455408, 'n': 84, 'trace_an': 0}
  • id: 66607921
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  • id: 66607922
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  • id: 66607923
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  • id: 66607924
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  • id: 66607925
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  • id: 66607926
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  • id: 66607927
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  • id: 66607928
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  • id: 66607929
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  • id: 66607930
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  • id: 66607931
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  • id: 66607932
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  • id: 66607933
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  • id: 66607934
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  • id: 66607935
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  • id: 66607936
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  • id: 66607937
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  • id: 66607938
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  • id: 66607939
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  • id: 66607940
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  • id: 66607941
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  • id: 66607942
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  • id: 66607943
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  • id: 66607944
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  • id: 66607945
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  • id: 66607946
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  • id: 66607947
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  • id: 66607948
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  • id: 66607949
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  • id: 66607950
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  • id: 66607952
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  • id: 66607953
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  • id: 66607954
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  • id: 66607955
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  • id: 66607956
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  • id: 66607957
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  • id: 66607958
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  • id: 66607959
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  • id: 66607960
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  • id: 66607961
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  • id: 66607962
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  • id: 66607963
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  • id: 66607964
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  • id: 66607965
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  • id: 66607966
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  • id: 66607967
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  • id: 66607968
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  • id: 66607969
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  • id: 66607970
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  • id: 66607971
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  • id: 66607972
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  • id: 66607973
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  • id: 66607974
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  • id: 66607975
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  • id: 66607976
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  • id: 66607977
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  • id: 66607978
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  • id: 66607979
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  • id: 66607980
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  • id: 66607981
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  • id: 66607982
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  • id: 66607983
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  • id: 66607984
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  • id: 66607985
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  • id: 66607986
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  • id: 66607987
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  • id: 66607988
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  • id: 66607989
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  • id: 66607990
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  • id: 66607991
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  • id: 66607992
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  • id: 66607993
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  • id: 66607994
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  • id: 66607995
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  • id: 66607996
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  • id: 66607997
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  • id: 66607998
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  • id: 66607999
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  • id: 66608000
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  • id: 66608001
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  • id: 66608002
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  • id: 66608003
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  • id: 66608004
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  • id: 66608005
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  • id: 66608006
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  • id: 66608008
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  • id: 66608009
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  • id: 66608010
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  • id: 66608011
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  • id: 66608012
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  • id: 66608013
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  • id: 66608014
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  • id: 66608015
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  • id: 66608016
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  • id: 66608017
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  • id: 66608018
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  • id: 66608019
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  • id: 66608020
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  • id: 66608021
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  • id: 66608022
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  • id: 66608023
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  • id: 66608024
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  • id: 66608025
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  • id: 66608026
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  • id: 66608027
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  • id: 66608028
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  • id: 66608029
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  • id: 66608030
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  • id: 66608031
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  • id: 66608032
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  • id: 66608033
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  • id: 66608034
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  • id: 66608035
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  • id: 66608036
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  • id: 66608037
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  • id: 66608038
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  • id: 66608039
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  • id: 66608040
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  • id: 66608041
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  • id: 66608042
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  • id: 66608043
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  • id: 66608044
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  • id: 66608045
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  • id: 66608046
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  • id: 66608047
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  • id: 66608048
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  • id: 66608049
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  • id: 66608050
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  • id: 66608051
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  • id: 66608052
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  • id: 66608053
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  • id: 66608054
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  • id: 66608055
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  • id: 66608056
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  • id: 66608057
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  • id: 66608058
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  • id: 66608059
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  • id: 66608060
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  • id: 66608061
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  • id: 66608062
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  • id: 66608063
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  • id: 66608064
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  • id: 66608065
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  • id: 66608066
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  • id: 66608067
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  • id: 66608068
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  • id: 66608069
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  • id: 66608070
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  • id: 66608071
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  • id: 66608072
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  • id: 66608073
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  • id: 66608074
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  • id: 66608075
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  • id: 66608076
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  • id: 66608077
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  • id: 66608078
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  • id: 66608079
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  • id: 66608080
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  • id: 66608081
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  • id: 66608082
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  • id: 66608083
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  • id: 66608084
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  • id: 66608085
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  • id: 66608086
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  • id: 66608087
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  • id: 66608088
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  • id: 66608089
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  • id: 66608090
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  • id: 66608091
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  • id: 66608092
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  • id: 66608093
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  • id: 66608094
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