Embedded newform data - 1440.1.cm.a.1099.2

Formats: - HTML - YAML - JSON - 2026-01-30T17:58:30.526663

• 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': 1440, 'analytic_conductor': 0.7186536181915234, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 160, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 65, 'char_orbit_label': 'cm', 'char_order': 8, 'char_parity': -1, 'char_values': [1440, 8, [991, 901, 641, 577], [4, 7, 8, 4]], 'cm_discs': [-15], 'conrey_index': 19, 'dim': 8, 'field_disc': 16777216, 'field_disc_factorization': [[2, 24]], 'field_poly': [1, 0, 0, 0, 0, 0, 0, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 16, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 4398063289760, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 15, 4, -1, 2, -15], [1, 1, 3, 2, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0], [1, 1, 32, 8, -1, 8, 0], [1, 1, 96, 15, 1, 8, 0], [1, 1, 160, 25, -1, 8, 0], [1, 1, 480, 45, 1, 8, 0]], 'is_cm': True, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '1440.1.cm.a', 'level': 1440, '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, 5], 'level_radical': 30, 'minimal_twist': '1440.1.cm.a', 'nf_label': '8.0.16777216.1', 'prim_orbit_index': 25, 'projective_field': [-54, 0, 64, 0, -84, 0, 24, 0, 1], 'projective_field_label': '8.2.36238786560000.11', 'projective_image': 'D8', 'projective_image_type': 'Dn', 'qexp_display': 'q+\\zeta_{16}^{3}q^{2}+\\zeta_{16}^{6}q^{4}-\\zeta_{16}^{5}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'self_twist_discs': [-15], 'self_twist_type': 1, 'space_label': '1440.1.cm', 'trace_display': [0, 0, 0, 0], 'trace_hash': 541172818699838996, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.016', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.973', 'prec': 17}, {'__RealLiteral__': 0, 'data': '-4.981', 'prec': 20}, {'__RealLiteral__': 0, 'data': '637.510', 'prec': 24}, {'__RealLiteral__': 0, 'data': '-1848.778', 'prec': 30}, {'__RealLiteral__': 0, 'data': '89761.370', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.903', 'prec': 17}, 'traces': [8, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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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

  
  {'an_normalized': [[1.0, 0.0], [0.9238795325112867, -0.3826834323650898], [0.0, 0.0], [0.7071067811865476, -0.7071067811865476], [0.9238795325112867, 0.3826834323650898], [0.0, 0.0], [0.0, 0.0], [0.3826834323650898, -0.9238795325112867], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.0], [-0.7653668647301796, 0.0], [0.0, 0.0], [-0.7071067811865476, 0.2928932188134525], [0.9238795325112867, -0.3826834323650898], [0.0, 0.0], [0.0, 0.0], [-1.3065629648763766, 1.3065629648763766], [0.0, 0.0], [0.7071067811865476, 0.7071067811865476], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.4142135623730951], [-0.3826834323650898, -0.9238795325112867], [0.0, 0.0], [-0.7071067811865476, 0.2928932188134525], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.541196100146197, 0.541196100146197], [0.0, 0.0], [0.7071067811865476, -0.7071067811865476], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7071067811865476, 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-0.0625, -0.3125, 0.0, -0.4375, -0.1875, -0.375, -0.25, -0.4375, -0.25, -0.0625, 0.1875, 0.125, -0.0625, -0.125, -0.4375, -0.1875, -0.375, -0.0625, -0.375, 0.0, -0.25, -0.375, -0.4375, -0.25, -0.375, -0.3125, -0.0625, 0.25, -0.1875, 0.25, -0.1875, -0.25, -0.25, -0.3125, -0.375, -0.25, -0.0625, -0.3125, -0.4375, -0.4375, -0.3125, -0.3125, 0.125, -0.4375, -0.1875, -0.3125, -0.125, -0.3125, -0.125], 'char_orbit_index': 65, 'conrey_index': 1099, 'dual_conrey_index': 739, 'dual_embedding_index': 2, 'dual_embedding_m': 6, 'embedding_index': 2, 'embedding_m': 8, 'embedding_root_imag': 0.9238795325112867, 'embedding_root_real': -0.3826834323650898, 'hecke_orbit': 1, 'hecke_orbit_code': 4398063289760, 'label': '1440.1.cm.a.1099.2', 'level': 1440, 'weight': 1}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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

  
  {'Nk2': 1440, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 0.7186536181915234, 'char_conductor': 160, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 65, 'char_orbit_label': 'cm', 'char_order': 8, 'char_parity': -1, 'char_values': [1440, 8, [991, 901, 641, 577], [4, 7, 8, 4]], 'conrey_index': 19, 'cusp_dim': 8, 'dihedral_dim': 8, 'dim': 8, 'eis_dim': 32, 'eis_new_dim': 8, 'hecke_orbit_code': 4398063289760, 'hecke_orbit_dims': [8], 'label': '1440.1.cm', 'level': 1440, '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, 5], 'level_radical': 30, 'mf_dim': 40, 'mf_new_dim': 16, 'num_forms': 1, 'prim_orbit_index': 25, 'relative_dim': 2, 's4_dim': 0, 'sturm_bound': 288, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [8, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, -8, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8], 'weight': 1, '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: 31862577
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1099, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4398063289760, 'source_is_minimal': True, 'source_label': '1440.1.cm.a.1099.2', 'source_level': 1440, 'target_conrey_index': 1099, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4398063289760, 'target_is_minimal': True, 'target_label': '1440.1.cm.a.1099.2', 'target_level': 1440, 'twist_class_label': '1440.1.cm.a.739.1', 'twist_class_level': 1440, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 1}
  • id: 31862578
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1099, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4398063289760, 'source_is_minimal': True, 'source_label': '1440.1.cm.a.1099.2', 'source_level': 1440, 'target_conrey_index': 1099, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4398063289760, 'target_is_minimal': True, 'target_label': '1440.1.cm.a.1099.1', 'target_level': 1440, 'twist_class_label': '1440.1.cm.a.739.1', 'twist_class_level': 1440, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 1}
  • id: 31862579
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1099, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4398063289760, 'source_is_minimal': True, 'source_label': '1440.1.cm.a.1099.2', 'source_level': 1440, 'target_conrey_index': 1099, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4398063289760, 'target_is_minimal': True, 'target_label': '1440.1.cm.a.1099.1', 'target_level': 1440, 'twist_class_label': '1440.1.cm.a.739.1', 'twist_class_level': 1440, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 1}
  • id: 31862580
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1099, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4398063289760, 'source_is_minimal': True, 'source_label': '1440.1.cm.a.1099.2', 'source_level': 1440, 'target_conrey_index': 1099, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4398063289760, 'target_is_minimal': True, 'target_label': '1440.1.cm.a.1099.2', 'target_level': 1440, 'twist_class_label': '1440.1.cm.a.739.1', 'twist_class_level': 1440, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 1}
  • id: 31862581
    {'conductor': 32, 'degree': 4, 'order': 8, 'parity': -1, 'source_conrey_index': 1099, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4398063289760, 'source_is_minimal': True, 'source_label': '1440.1.cm.a.1099.2', 'source_level': 1440, 'target_conrey_index': 739, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4398063289760, 'target_is_minimal': True, 'target_label': '1440.1.cm.a.739.1', 'target_level': 1440, 'twist_class_label': '1440.1.cm.a.739.1', 'twist_class_level': 1440, 'twisting_char_label': '32.3', 'twisting_conrey_index': 3, 'weight': 1}
  • id: 31862582
    {'conductor': 96, 'degree': 4, 'order': 8, 'parity': 1, 'source_conrey_index': 1099, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4398063289760, 'source_is_minimal': True, 'source_label': '1440.1.cm.a.1099.2', 'source_level': 1440, 'target_conrey_index': 739, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4398063289760, 'target_is_minimal': True, 'target_label': '1440.1.cm.a.739.2', 'target_level': 1440, 'twist_class_label': '1440.1.cm.a.739.1', 'twist_class_level': 1440, 'twisting_char_label': '96.35', 'twisting_conrey_index': 35, 'weight': 1}
  • id: 31862583
    {'conductor': 160, 'degree': 4, 'order': 8, 'parity': -1, 'source_conrey_index': 1099, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4398063289760, 'source_is_minimal': True, 'source_label': '1440.1.cm.a.1099.2', 'source_level': 1440, 'target_conrey_index': 739, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4398063289760, 'target_is_minimal': True, 'target_label': '1440.1.cm.a.739.2', 'target_level': 1440, 'twist_class_label': '1440.1.cm.a.739.1', 'twist_class_level': 1440, 'twisting_char_label': '160.99', 'twisting_conrey_index': 99, 'weight': 1}
  • id: 31862584
    {'conductor': 480, 'degree': 4, 'order': 8, 'parity': 1, 'source_conrey_index': 1099, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4398063289760, 'source_is_minimal': True, 'source_label': '1440.1.cm.a.1099.2', 'source_level': 1440, 'target_conrey_index': 739, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4398063289760, 'target_is_minimal': True, 'target_label': '1440.1.cm.a.739.1', 'target_level': 1440, 'twist_class_label': '1440.1.cm.a.739.1', 'twist_class_level': 1440, 'twisting_char_label': '480.419', 'twisting_conrey_index': 419, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1946075
    {'charpoly_factorization': [[[1, 0, 0, 0, 0, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4398063289760, 'p': 2}
  • id: 1946076
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 3}
  • id: 1946077
    {'charpoly_factorization': [[[1, 0, 0, 0, 0, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4398063289760, 'p': 5}
  • id: 1946078
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 7}
  • id: 1946079
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 11}
  • id: 1946080
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 13}
  • id: 1946081
    {'charpoly_factorization': [[[2, 0, -4, 0, 1], 2]], 'hecke_orbit_code': 4398063289760, 'p': 17}
  • id: 1946082
    {'charpoly_factorization': [[[2, 4, 2, 0, 1], 2]], 'hecke_orbit_code': 4398063289760, 'p': 19}
  • id: 1946083
    {'charpoly_factorization': [[[4, 0, 0, 0, 12, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4398063289760, 'p': 23}
  • id: 1946084
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 29}
  • id: 1946085
    {'charpoly_factorization': [[[2, 0, 1], 4]], 'hecke_orbit_code': 4398063289760, 'p': 31}
  • id: 1946086
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 37}
  • id: 1946087
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 41}
  • id: 1946088
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 43}
  • id: 1946089
    {'charpoly_factorization': [[[2, 0, 4, 0, 1], 2]], 'hecke_orbit_code': 4398063289760, 'p': 47}
  • id: 1946090
    {'charpoly_factorization': [[[16, 0, 0, 0, 0, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4398063289760, 'p': 53}
  • id: 1946091
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 59}
  • id: 1946092
    {'charpoly_factorization': [[[2, -4, 6, -4, 1], 2]], 'hecke_orbit_code': 4398063289760, 'p': 61}
  • id: 1946093
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 67}
  • id: 1946094
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 71}
  • id: 1946095
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 73}
  • id: 1946096
    {'charpoly_factorization': [[[2, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 79}
  • id: 1946097
    {'charpoly_factorization': [[[16, 0, 0, 0, 0, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4398063289760, 'p': 83}
  • id: 1946098
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, 'p': 89}
  • id: 1946099
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4398063289760, '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': 65, 'hecke_orbit': 1, 'label': '1440.1.cm.a', 'level': 1440, 'portrait': 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X55zGovZ5SGNKKITR3Djs0pQuQMxwEXbk0JlSHVgjSPWOxKhuOQKBAIo9k0o9k4nbPUjekOBaMsZHkg2DqtWVzVHD+naIQRWzfAzk0JW+ZGbJ4bs3VuzM4thgu2Kq7YFdJUbY4cn+Jrj0U88GTGI8dSctXjO1+4ypueb2iqOZ48NsOR0wGnzuecdeB+asFw41Xz/Ie3LbNr4zSnz89wfrnB4mrI0qpkuZfT6+f0R4Injy5w8MTqFQ8fPP+iIyfPXXj09PnP3fTKNyd33vKRZxoS39TtHzSDLy2vkiQGpXjHVx48/Pxf/p2PyrfcfPD5/583nQrml7ewtDrF4mqLxdWIxdWAxVVYWs1ZWk1ZXMk5uwKHFgWbNq7wn394kedc2uLEuQ2cPt/m9ELAuUXD2YWMk/M553sZMxtGvOCaPs+7HCLZJFYx55YanFkIOLskGIwhyzSNSNNu5MxOZ2jg2NmMbh92bwlpN8cYI0BE9IeaC7aOWVwJwFgpstKHcQYGw9Jqwo7NIb2hQiiD0GOmGiEXbBuxMhAcOx2Q64C5KUmnIYhDyDLBYCw5uyQ5s2g4t5wRxyMIM266ss/zrxJsmmqyuDzFiXMxpxfg3ELGuaWMU0twaNFww5UL/NoPL7N1ZorjZzdwdrHJ/HLEwqpkaSVnuZuy3M1Z6mkWepITXVhZ6vKb/58k+8FXNb8abfwpHbWu+KpE/3JOSNyYeqah8rS3f7AM/icf+CjPf971/PzP//yvf/CjX/r//PFffOHifcdXL3zq1EC+4Oo+F23PyXWAMQpjLHtjJCABgRCGQBgiCacXm9zzlOSavUtcvmtEqwFhIIlCRRQFtJuSVigZ9EMOHG3w+Qcijp0f081SDpwYs2Vuide/YJlrLu5xw+WrHF3IWBgIWvGIw6cNq902V18kWRnl7Duq6LQCHj8Gl2w3jJKcUR4RBCmzHdh/IkYFOaHMCEIYjiXPuXzAcCC55uKc7jDn2OkOe7Yq2q2ElbFh88yA5X6XD38JHjqS88iREbu3L3LtZV1mNyS87qYe3/tiw96tHfJ0hiOnpjl0MuTEWc3J8yknz+ccOi84vpLyrEvn+c8/3GPLzAwnzm7g3GKL+ZWIxVXJ8mrOai9lpZ+z3Dcs9QXnBorlbsaNly/w9jecl82AC8+fPbZnNMyeG09d1Gy2Zr9w/9f+lj/44794piGz7u0fJIN/6EN/wzWX7VB33PfUfzx8/Oyv3P/IUXV2KWFxpDg9MFyz+xy/+TPzXLe3xbnFWRZXWyytNlhaDVnqBiz3YHk1Z7mbsdTLWFiFE8uCoDni5quW+L4XJ+zZ3GalP8X5pSbzSxELq4KlVSsRlnua7lDTHRsGo4y5qZQLtmhAEIeGk+dDhIzZvVmxZ7th++YB55bHPHyww7MvMbSayzz21AY67YQkCZmb1QxHcMUFIz74pRku25UxHhs2TkvSfEinEfP40RHNsM11l2Y8cjjh3GLEjrmYPdvggq0JSqWcXIAoNAhh2L0lY7Yj6Q1j+oOQ7iBkqatYWoHFVc3Sas7Cas7ZVVgc5Vywo8/3vWSBmy8PaIRTnFmYYmG5wcJKwFJXsLyqWemlLPdyVvqGxT6c7SnOrWQ857KzvOtnFrlkR5vF1SlWug16oylk45I8am799URe9GuBPp2/6KXf/UxDZ83tHxTADzz5JM1Go3nq1MkLHnzo8bceOXbqv+w/eJJRKumPYGVoGeV0L+OGi87y339miWsvanJ+eZbFlRbL3QZL3ZDlbsByF1Z7mpVexnIvY6lrOLcqON03IPq86YWrvO45mou2NUiSFsurDVb6Eas9xXJf0BsIRmNDkhnyHJQ0xCE0Y8PMlGHzhpQgHHHoTMKjT8XorM1rnpsQhCvcv2+aC7fBZ+7JeOHVMedXhzQCRZanbJiFLA0JwozFxRYvuL7LZ+7qsGcb3HdwTEiLVz9Hk4khjx7KOXKyQSAjtswGzLYFzVgQRQIlINOQpIZRAr2BYaWv6Q00KwPNYt8wzHN27xzwuuet8qbnJ6A7LK5Mc36pafV2N2B5FVZ6Oav9jBUH7qUBnOkq5rs5N1x6jnf9zHmu3N1kfnmGlV6L1X5Mtx+y2hNErZ002lv+/badV/zVzp07jo9Go+Ell1z6TEOpvP2DAfixI0+xadOm6OBTT/3okwcPvvu++x8Si0t9ORpr+iNNb2ToDWFlKDk/lJzppTzn4vO88ycXuf7iBgsrMyyutFnuxqz0IpZ7ASs9wWrPsNrPWellrPY1y33D+Z7gzKpmdmbAK2/ocdPlGbu3KKaaId1egziUgCLJJFoLtIHBCBCa2c6Ig6cM2iTcel+b8aDJxTsibr5mQKpXuP2BGa67JOTg2T6ry1M875oBX7g/ZssGw75jhn/+xi77jsZs2SD5/AOKm69QLA26HD6xgesuTbj90SHZuMVNV0bs3TVimPW55X4FueDQyYCpVkAgYDCUaCPItSHNAKkJIs1q39DupOzaNub5Vwx45bMz5toNzi1Ns7jSZLlrj81yV7Dah9Vexmo/Y7WfszowLA0kZ3uChV7Gcy+b59d/cp5r9zSYX5lmpdei24/pDkJ6g4DeQNEbCtK8ofdeco258KK9b9970cV/srAwn1x22T8MkP+DAHiWZTIZD19//9c+c3G3n73r3vvuD4djGCWG4ShnMMrpjzT9kaE3FKwOBeeHktOrGTddcZ53/OQ8z94bsdKdZn65w2q/wUovYqUfsNpTrA6g1zd0Bxndfk5/qFkdGOb7gvk+pPmYay8ZsnVDTn9geO3zxly4VZPlkkAakhRue7jB8fMNts1mPHaoAbrF5TsV11+miRsD7j84YH6hzVUXtpmaWeauR0JuvKTB4mCF5eUptm413LNP8U9e1ufefQE7N4cs9FdZXtrA9VcMuOuxnA3NGa66uM/51VXueWKGZtDmhssMl14wAtnn4SOCzRtSzs2n3P5wyChVSAm5Nly4LeGVz0vo9RXbZzXXXwJJ0mJptcXSasxKP6Q7UKz2Jd0+dAc53X5Ob5DTHWhWBoaloeRUV7A6HHPzpfP82k8sc8Ml9uJY7TXpDmJ6g5DeMKA7UPRHksFQ0Bvk9IcZ119/Q5qb4Bfe8j2vf6rdbn4yDEP9TGPrGc9kJuMBWTr44RNH7v/N82ef3HD23DLtpk1TC2HA/s/drAUohEFKg5QB9z65hV9+T8Abb17i+1+2xJ4dCWcXp4ijJs04ohWHtJsBvaakMwyZbgf2ghnmbBlrhmNDbxSzNN/g5AlDkmlOnc2IYwMIImUIpGAwVAhCskHAsy4U7N1uuGDHgHHe47P3KvY/Ncurnh1z/RXLvP+zhki0uHDHgEfuUuyYUWycGtBQTZI05HwP2o2AnVsED+1PuP7SJi++boE//dSQKOzwiucawnjAF+9J+MzdbZ440uSi7S0u3JazaTZhz8aUqy/MUUoTKAMYWnHMppmYJA3pDSIeOxjaEoWhBWJ/CP2RoT+w3703zOkPDd2hYWUI8wPFuWVDa3qVn3vNPN9985hrL2pzZmGK1X6DXgluRX+oGIwkw5FgOLYEkGZw+533hp2pud/cvGXr0kte8Jz/o9sd/OnUVOsZxdczCvA06YPgJ84evesdh/d9acNo0KMZRxjnhBgEoEDYpUYIkMJ20ihpUDInkpJHDm7iwSfbHDx9njc+v8/zrxwx05liabVFu9tgahjRHwT25Iwkw1HAYBwwGhtGiSZJDWlqyHJ7T7IIo0EqQRgIGpFgpiOY7cDWjZqdWwZsnF3lc/fDHQ+GSD3Nq54d8qzLe9z5REoymuLmZwlWh0POL7a56VLNxpkBzSBmlCnmuylKC551aUCrM+aBAw1edP00z7u2xwMHFJhpnn1lxI9/5xJfeCjh8/e22Xe8wQWbFFs3NJnttJjuQDOGMDAoCdrAviOCPBekmSDJYJxiv+M4ZzjWjMaawUgzGGv6Q+iOYb4vOd+DsR7x8uuWeP3zV/nBV2iybIqzC226/Qa9YUR/GNIfKnpDxWAkGDhwD0ea4ThnnGiGY835xdN88K8+u6E/yP7P7/6OFwfd3uA9U51nDuTPGMCT8SJC5D8+f/L2d5w9+oXNij6dVsxwbFc1ASAkAoEQCiEEUuLADUoZAmUIlaYZChYGTT70pZ188cEuL7x6hbe9fIWr9/SZm2mxuNKiN4wZDEMHbGXviWCcStJMkGV2qTduuVDSEATQiKDV1GzopOzYPCCjz8FTKR++vcHhE21m4iY3Xhlw0zVd7nlylVu/NsVzL2lwwbYBH/ySQImYqU7KSn+MNqAEbJoa0O1F6KzJ6194ng99psXecw1e99wBSbrI7Y/OkeYNnnPlZl53Y5dLdq3yxQcGPHKixcNHInZukGyYErRiQRTai1AKEMKgDWhtSDN3saaGcWov5FECwwR6I8HyWLDUAxGMuO6yFd72yhVeeGXO3FST5W6L1V6T3iCmPwrpD6uVYDCWDEcwcBfOaJQzTDSjsWGcQGYUp86u8qcf/vzmQcI7vuc7X2BOn1t67/YtG/6fAXCz8mucW7iS4fzHfyRNBu/qnnt8Y0CPViMGkTneDhDColwIiRACISRKBkiZo5Rwy7MmVIY4MDQDwfJIsbg6y0dua3P3Y31uvnaFt71ihev2rjKXN8mymMGoQX8YMhwHJKkizSRZLsm1QBths6DCEEeaViMjjhKicMypxTGfuk/y1MmIIydnUTpm77aIK/Yonn15FxXP8+ihDjtmWlx1EWzdtMxSd4qrd0gybfjcvTHjgWSmnfHq54z45O0px892uOzikDMrIx4/HLJryyzX7pnnzkd63PW4YJxEXL5nA5fvirl8Z49DZ5Z46hTcu7/FwcNtWoEgDiTt2NAIQUpLDMbYizXLIckgyQX9saA7EnRTSHSGNiNuuKTL217Z5YVX52zbEDMaTbO42qDXj+mPIgbDgP5IMRgphmPBcCQZjm3f6GicW49/bME9TDSjxDo6Sa6YP9PlD/7yy5sfOHj+XVNT7ey//uHn3v/g40/x4d/62X+8AP/5//o7MP0hwlV+MMiP/c6we2YmlDGtZgPhzo4UBiFwrI1laylQShAo5R41gcoJA0EUaKLQEIeGVpQz0xD0xiHL3Vk+escUX3p4xJbZAW99ySqX7xoxGva5ao9h11bFOA3J8yrNLzBIqQmDnGPnDEfOClaGmk/c2eLUwiwmCZltKLbPBezeGnDRDrhqbxctF/ijT7ZZWprmuZcHXLV3lS8+LBBZyOZZSbuVMUgjpJFgJCqIWB0Jzi0JrjQtXvLsHl99oMn2jRHPvWoDP/adC/zJZ3rce6BNfxSyuNJhz/Yml20b8JxLe3zPi3qcXlriE3fGLA5ijp0JOXUqIlQCKe2qp40h15BqQ55pZudSrrlywHiccvmuMW9+yZjN04oNnZg0bXBmvsFgGDEY21VuWAJbWnCPBaMxdiUY54wSzTjJrQRKjQM5DFPBIBEM84BTp7o8+jd3bbx6z9zvPO+6jemHf2vHXyydfAcbdv7yPz6A/8yvfYANN7xN/NC/kW/ZOfPYH3/fSx5rXXVhwy6tSAfqCuBSGKS0UkFKiZKSQAkC5R4DQRjkRIEgCjWN0NBMDa3EMN3ImW0KBomkl7Q5crLNO/9iA+gMkWU8+5oBe7YmZBloozHGJnGkEEglCMKIA8cj9j3VoN0I6ESSjS3BpjnJ5g0B2zcpdm/LuWz3CrlY5Hc/NsWx4zM899KQyy/MGWY9vvZozEwzZG7aMNNJaDWtFNJasjpSLPUNi6s5q/0mL7hqhfv2Ddh/XDEz1eA5V87wk69f5Pc+Dg881aY/NKz0As4tTbF1Y4vNsyN2z434+bcMmGqt8sgROHBCEoYGpQxCaIro3BjIMrhwa87NV2fkaUiaxRjTYpSEnF2IGI7tijZKVCnfholgNBaMEsva48RmZcdjzTjRjFLt3jMlcw9TwTAV9BLBciroZZp8MCDpHZt5402b/vj3lpYyo/75R/qn26a9/V/+4wH4v37Hh9mzfZN68PY/e9PB48vv//O/Xmg8tH+Wd/5sl8t39ZHSnhQhNFLESGlQMkQpg5IKpZTT25IwsJozChXjUDJONHGSM04NzVQzTjVJYpjKYJxqxhkkmWCUSsZ5TJo32P9Um4f3Q24MFtpWG4cSImVrPjoxXLUNppow3ZbMdhRzMwGbN8AFW8ds27RCapb43Y9Nc+jwNNdfpLhop2TvzmW+/HjGucVpnr1HMjulaURDYhljlCDLJcIYsjxhud/g3GLI9Zc3edalPe58oMGWWUGr0eH6SzU/96ZFfufjmsdPdVjpa1Z6ivnlgI0zbWanmsxOTTPVStnUTtl9fUIcZoRBhlI5UthgwmAvqjRVnJ8PSDNFmimSVDFO3WMiGaeScSIZJZJxImyAmgjGiWGc2OM6TnKSxGn61L4/SmCUCkYpDEpwS/pJhh4NeNaFy7zj7Uu88urTrd5K/P5MvF/n8tKPLR77w3xu909/+wP83/+3DzHdjtThoyfffOTo2T+9b9/pBlNzfPaeiDCQ/NpPrnDFrh5K5kilLbhViFLaPkpDqAxhoAgDQ5hIolDYkxAKxpEiSS3Q09SQZLl1RTLvnkOWG/Jck2us3taU4C6kUCAhDCEOBI1Y0Iol7ZZiuiWZnRZs3pCxe+uATnuFj3014fZHN7CyMMU1Fyh2bwu5ZNeIXKzwuXtbtMOATbOKTmvEo4fgicMBV+8yDMaKay9JuWav4eyZnPnliOGoxWtu7PGVR4YcPKVoNyVxNMXVF2l+7UcWue3xIZ+8bSOLXcPuzTnLqwEzU4rpdkinFdJuGhqxJo40cZATKCu1pGutNAabsNKCTEuyXJBlgjSTJJkgTSXj1DovSSpIUkOSwDjNSVJN4hHHOPXvFtxDB+5uKllNYTBOkWmf6y9c5ld/aonXPkfTG8wyGB5tEHc+IMPGP0Vt/OszB9+Xb7vkx769Ad4JtRz0Vr//6NFTv79v//HGdDOgmwWkQvJ3dymSseLNL+3ylpf3mZ3K6UlNIHOns60eDoOAMA2IA8UotEwzDiVJJEhSYU9OqkgzSFJpHYSssv2yXJPn1l3IjXNKnFtSuDNKWtkTBYI4kjRiSbspmGoZZjqaLRvGbJrtkZkVPvIVyZ98Zo7NjQbXXCC4YFvIhds1u7ct87GvGZaWGly+VTE7BZ1WyrmjkvPLMdEeGKeCTdOSmRk4eMSw3NWcXWhwyYUNXvbsHp+6o8FcB+IoQskZrt4r+KnXnSeU5/m7O2d54lSDLd2UzTMZ021Fp6loNSXNOCCOIA4hCKzDJAVI4YEce2HnGvJckOU4oEOaG5IM0jS3pJBqkuIx1c52LFwZZ0FmVpL0U0E3k/RSTTJKmI67fN9rFnnLS/q84nro9jsMxzFJGjEeHGnIKP5jokaAiP4SyzPfngB/93s/Tq71jzy27/B/P3zoxNRcSzHMDEoIuiJkLDp87t6Arz3e4MzyIv/8ewbMTmWM4wbdQYNARYRBSBiERElOEgZEiZUmSWpT6ZZxhGUix0pZBmkOeW6dBK1twKW1KXo4HbgtwG3gKggDC5BGDK2GptPMmOlkbJoZsnF2ha/uT/jArU0OHJnhwumQvVth59aInVvgsgu6DLIu9+yboqlCNs0qZjow0xkzO50RRQFC2ItrOI5Y6qasDAyr/YzzyxEXbO3wvMvPc+u9Aw6cmqIVp4QqQohp9u5Q/NArFrjhsvN84NYO9zw2w2I/YPNUxkwro9WQNBuKOBTEoSQMbayiFM4+tCg32B5WrSmBnuXarW7OWsw0WW7BnaWQZKa6p9aVGWWWVAapoJsJehmMRhk6GzLX7PL2713i3/xAn1YcsdprMk5ixknEOA1J0pDR6smpsBX97obNV0VHnvibP9lz5fd8+wF8aXkVJeVP/M/3/s07jh49OdeKBUluWUUJCBzIh1KyMg74738Vsu/QMq9/UZ+XXNdjy8aEXrfJcBwThRlxFDJOAuLI2nsFwNNUkmR22U0z52nnOOsPx9wSbajAbZOUjrkhUDZhEoWGRqRpNjI6jYzZqTHbNnY5tzrg3Z8I+dx9G1habnPxJsEFmwU7Nkfs3CzYs31EEK3wodsDDp9oc+kWyWxHMt3OkXLMqXlDHEikAGMESRqwe3OXe8npDhTLXcO5pSaX7mzwPS9Z5a+/GHH0XEwYpAgRok2bNJM8e88yu3+gy+ceGPDBz23g/qNtdswKNrZz2o2cRiSIQ0EU2lglUNjAWYqyJsNgLzJtsE5LbgFfgDzLraSzYIckt7UuSZE8ygTDDHqZpJfBMNHkgzE7N/Z48fXLvOFFA157oyYQLZZXGozTmCSxwB6nAUmmSDJFf+nUXNze865Lr/leNR523xM3//fUlP9vAfjy8ipRFP7YZ265/R2PPvb45jg0KCWQmQO4NCgpCKWgLyU92WA1CfjQlxvc9kiP6y/v8gOvGPC6564yNxMzHMUMxxFxGJJkIUkalIFSlinSXJJlkjQXZJkkzwW5FpXW1oJSlZjCrbHJIuWSRVGoiaOcZpzRaY7ZONNnmA754qOGD395mnsem2E2Crl6h2HbBsmWuYjtmyQ7tyRctGOZR44O+cRXNjGtAjZNC6bagqlWyuog5zNfa9CJrDukDQzHAa+/ecyn77Y1Mat9zfnlgJ2bO7zx+X3u2d9j38GIdpyhpLAg1y1GidX6P/SyVS7ddp4P3dblridmOL7cZOuUYLphaEWaRqCJQgiUQElcgsx+76L8SDuppnW1wmUO6JYgIM0Fae6AnQtGmWCQCfo5NuZJEtrNAW981RLf/4ouz740Z8tsyHDUptuPrCRJqnOWpDbYTTJFkgqOHT2wWYR3vePiK16oB/3u+1rtbz3Iv6UAX1lZYWmlD/DDt3zhjv/2qc98YW5lZYVGpEhL9rapZSkgEBBJiCX0ZMggVJzsxpy+u8Xdj/b562t6vPllQ15984gNMxHJOGacWTZIs4DUAT3LFVnuEjZ5BXBtHHPrqqZMOBtSSVvHEQSaKMyJo5RmnNBpDskZ8oUHJH/xpRkeOzKNSGMunDVsmzFsnFFs2hCxdaNk+6aUC7Z2OTHf4w8+2SYbN9m5UzDTCZhqw1QrRYQJ3WGbmY5BCIExkGaSDbEi0xm9NKI3yFnuKk7NN7nyog4//V0rvOsvY47NtwlU6i6MgCxrMEokW+dinn1xl2su6vP4sVN8+MtNbr1/htOrTdqxohNBOzREgSFUEEh7zIWoV9dpwGh70eVakBvIcmH981yQ5DZJNMwFwxyGmSHLMnQ6Zq4x5DUvX+GtL+/xwqtTppshSdpmeTVmnEakWUCShi42cqtupsoVN00l494qjz9y22Zt5H/be+mN2fLi6T8LojadzrdufuK3FODD4ZC52fYbvnb3/b/3uVu+MNXrdWnGAVlmEG6ZLPxtKeyBD3JbzBQpTTMXDFTEIAs4P27wd3e3uf2xAc/5fJ9/8b09rrigy+YZxVQrIEkjkiwkyyqQ5wXAtUQbiTFWEpgyoHSpfmVsEBtkxFFGqBK6w5T5bspvf6zBkfOzPLBvBqMj5pqCzRsNG6cFc1OKuZmQLXOSrXMZOzYNmJtZ5nMPau5/YoZrdgpmO5JOSzLV0rSbCSIcE8cBgbJ/3xjIc8lwHDAcpWRa0Btqen3DUjfk7OIUN13W53lXrvChzzdoLikCmVpAmoAsj0hS2+O5cabBDXv73HBxn3tffJpj85IP3DrD+ZUWJxdjIiVph4KokGHSuLwDLuXppAqWyTMjyDSkWjDOYZRBog3kGWQpUo3ZPjvkmt32fNx4Rc5UMyDL2qz2LLAzB2y7wgZONlbgTnPpHgVZLhisdHng3i/PZXnwe3svu255NBp+4luJyW8ZwA88eZCtW7eqv/zQX128f/+BqdGgS6sRkOUGJUDmlr3TXKAyY2s9cghyQagMUWZo5IKWEgyVYBDEDPOQxaTJrfdP89UnhrTjMf/0tavsnMu4cPuQm67qEQjbIiaElSs2K2lrpY3xmBuDkAYlrGduyEBmPH5Ect/+gE/d0+Hx4x2SrEUnUGxqGja0DbMtY33wqYAN0wFzM4KtGzK2bxqybdMytz825o8+tZltMwGbpmCqrZhqCzqtjGY85qtPKkZJQNi2oDJGkGSSRqC47tIhdz86Ywufhjkr3ZCFlZhzC7P89OvOcXJhkbsf2kQoAZGioQTQOJH0hwGznQYzU22ed+mAF18z4AdeOs/+E5pP39Pgnv1NnjzcJhMB47FikCpUWfrgB54uJ2A0mTYYrQlFznSU0CDledf32bNtxM6NKW979ZhmJGk3Q5KkxWovcitp4AhHlV67vcu199KmtCBfXexyzz13Tp06c+7i7/jO71XHjx7KL7hw7z8cgO/f9wRb5maje++770ezLP3vS0tLNOKQTJsqQykNUgqktIytMqxEyA1BBqEUhNoQ54aGErRywVjDKA8Z5iGDvEGvl/PfPjSLyVK2bBpx5QUj5qYz3vyyIRdsTkhT4fS2BI+5KT+DRkjBR29r8sihNiIIOHa6xalzLRpNxXQsmGkbphqaqQZ0moLplmKqo5jtBMzNwMaZjC1zI3Zs7pKbFT76lSmG/TaX7DRMtRSdlqTT1HQaGWGY8Lm7G4wHknCz7RYtJEq7qXjNc4bc8aCmP5b0hzndQcBKL+DsYosr9nR48wu7PPB4i2NLHZTUQOr0ckiaK8apTcz0RwGr/YhOs0W7OeaKnSOee9mIE+dXOXpmhSDMefhwwF9/uYVQtnCNyfmDRgMajCFNcnZvyXjry4ZsnMq5bLdhyxzkWcg46ZBlIcvdkCxVpHng4iAL6ALgNiaSrtbHNwA8I8ABPNcBS4tLbN2W/vdHH35gsHXn7j958sl9yaWXXvEPA+CnT59kaXHh0hMnT777gQfuk4GSSCGRuS1cUtKQSePADZlLwWdaEGRWJ6a5IcytBowDQyM3ZLkg0YYkF4y1ZJxLEh2SapjvT/HlRzSGnL+9x45swGh3L7J4ziITRUWiRCpFlgZIHRAGkk4MezYZ2qGmFWtaMbRiQbsp6TStHJruSGanYG46Y9PsmO2beuQs89t/0+DORzezdw5mW469W5JOM6PVTGi3hjSbLWIlUdJpcKwcSNOQ0VAwHOf0xsp2LQ21bZlrR5w8N80Lrhzzc285x2/+dcDxlRghNMak6NyQZiFJKhmNbRlrZxjQbkS0mg1acYtGnNJpJjz7koQoTLnxkoy3vXxAoDKXBNK23t4X5U7SaS0RQhKHCogYjQMWlwNbt5MXMY+7Z7KKgVzhWgHuAthFYilzQWv12p7vzCXi7rvvPpnm8t2rvcFXxuPRY98KbP7fBvitn/sErWbYPHbs0JueOnhQNOPAtlLl2rF2BW6lbAJGKoPKQeVWG2Y5BLntfcyKiD53UX0R2WtRvdaCREsyI8l1QKpjcmd7+bcyS+lsyUBCqKDRNDQCQ0PlxCHEATQiQzMWNCNJqylpNQIL8LZgpqPZMJUxNzNm84Y+2zcv8kef0nzw1i3smlFs7Gim2opOS9FuQauZ02mmnFnUHDoT04jsBQ1FpZ9glATs2arZunFEdxQxHBnH4pKVXkCn2aDTmuFtLz/P4TNn+eNP7CCQAQZNrnMybUizgHGiGCa2KGrQkLRGAc04pBnnrPZsjBGFuU2YhTmBtI0SUuau7sd4jSW2hNOCXLCqXZWltnFNnku0lmS6incsQIsAv3juPWbCvV+A2yaZ0lyQ50W+wr43TuGBBx4WF13Uf9OFF1546KMf/djwe7/3Tc8swKUKovn5+V9aXDj3S3k+lo1YWnBKWQJcSkMuDbl2tdy5IHfyJNMQFF+ySD5o416b8r3qeVUpZ71cUQZKvuYGXCbPuIBWE0hcTQuEShAGxvrGgaARSxqRpBkrmg1FpynptAzT7ZyZTsaGqTEbZwdcsGWRe54c86HbtjPbiNnS0Uy1hAV3U9JuaNqNjE5rzD0H4OH9LS7eZJzurdLmw7HixssMl1ww5N7HZhiMbXtefxg4kIe0Gk2ajRm+70VLPPzkee7etxWMQuvclsNmhiw1ZT3JcBzQGhmaDUUj0sRRSBzlxIEmCHLCwGaHldKuiM2usAiDoNJzVXBuS4h14Ujpwn71rNgC2NrJjfI1JbCLuyUw9+jdc5eUy3MYjQfyzNmz/7HTaUedTufXgeQZA/hoNJDj8ehXP/13H/o/lhbPRGEQIHUBLEEuBHkN4BbYyiUVcmUItHuubQOtzimf50XGzRSZN4N2mbgiWWGMwcu811bcIlVdJHSUdBlLhVe0ZbN/caRoxIpmLGg1BZ2mYaqVM93OmOmMmZsesn3TMncfGPKrf7qF4ydnuGijZqYFU01Fu6loN6DdyGk2UqJwxOrIFouFysYfxS3XhRaNmGqmDDLNwNVZD0Y5vYFktalo9WIacYcLt6b82o+u8p/eL/navi0YFNpo8lyT5RlJpklSxShRDGNJc6xoRJI4MsSRIg40YWj9/kAZV+fjVlUnU4Qw9QZdl9o3jkSMq2XJHeBzXT1aMpLuUVQAd89zT4oUyTd7ATjSKssp7Lk9ceJU1Gy2f+Gf/sgrw8Fg8O9brdbfO53/9wb4aNjF6PTXn3z8jn/VXTreaDWky4wJMpdcyKW9YpUUZKoAskFLC+7cgVsXz7VAa1OmkXXp0YLRxkofVwLq35kAeBHYigLcoqgpt5IocK1oYSCJIzsAqBHbkQzN2NBuaDqtnKlWynQnYcPUkO2bVrh7/4D/9CcbOXB8A7s3WIel05S0W9Kyd9PQauS0GilpnvDnn+8glSKU1kkqGdwUS3jID71qmVvuT+glMQMH8P5Q0esrVuOARhQTh1Nctivjv/z4Iv/hTwR3PbYFbSS5tmn1NLOFZuNEM27Yctc4FjRCQRzZzGYUmDJjGyhtZaKsbNsS4FXKE3Akgs0lWLfFBfIFgN3UAV0m13DsTrniFqtzBXDjPXq4cI+Zluw7cKTx6Vtu+9ff+dpXiOWV7i/Pzvz9kkB/b4CfP3MYY/Tzjh1+sKnEmDhS9kqU1hK07A1K4x4FuRTkZXq4AHchP+x7uqyVqNqvLNCFraMoQF0c+InPVfVuujoTSVVM5erILcAlYSht/UYkaMR25kkrzmk3Lbin2gkzU0M2zaxyz/4Bv/q+DTx+bCM7ZwVzbU+aNALaDVu/0mxkNOOEMBxzanGWUAmU1M6Wq4LMPJdkmWLbrCHLUrppw3XKaIajnN5I0hwoGlFIFDYIg2ku35nxX35snn/3Xrj7ic3kWlqA54Y0yx2Ta8axppFIRpEqJVgYQhg450pJmwuQzt0SINzjOhi3cgWXFEKUySHtkkNFtjjPvfd1JTlzD9haV+e7xIEH8uJ5kmR85c77mpfs3fO8/zs7Tvy9AP7Yg5/DmKT14L2fj0aDVcJQIHNDJkA6QOeqCh5y6U6qKl5bps4Dyi9ZB3YhQ0wJdFPIkeL503w2KaoiKilBSlGCW0npGiUKeQKNEOJI02wYmrHVz61mylQrYaY9ZOPsKvcfHPEf3jPLo8c2sX1GsamtmW4KOg1Jq6FoNQXNhr04bKo/4e59gv4ooqFwF5nV4EUTQq4FaRbQbihuuqrHPY9PMUitTBmOcwZDRS9WxJEiCiOnn2e4YpfmN37yPL/4h3DXvs2kWpJq7Zqlqx7McSSJI23ZO6zq6ANV3HEypZJxRbPJeiAvkkKmALgDfF46L6y78moXS2mPxPLcuJ+vA/TiQjCCpeVVPvSRv4u++7te2/rwRz89+L7v/Y7//QBfXjjKzIadMw/f+/E/EGbwIiVzawkKqzNrV6y0mlt7y5Zl7Ooq10qsz9oeoHUJ7KopGKe9y5MhbKZUSAduV2SkSoCDchWDYQBRiO0EilyBVZzTdPKi0xwz3Rky2+ny0FNj/sN7Znn46Ga2zgRsammmm9BuCNpNRaupaJXsndOIMzqtEbc/HLGy2mB2tkqTF4DRTpumuWLznOLlz+pz+33adtEk2gO5pBFKGmFAGEQEQRMpNVfsMrzjJ8/zi39ouOvAZlIdkLoKQFv2apk8TmVZXRgFkiBwRVhSoILi2FB+vuIiLKSKKKrSqBJCk3ftPWrtPZYrbx3cfmVn7r2u4i+HF2MrG5dXhy868OSR9/74P33zzxw4eHTlsksu/N8L8GHvFMnw/C8Ou4e+32TniaMIrbWntQxaTixRWjidXVzl1RVfyI+8lCGU7F0LJCeZ2yG9yMiV2lsWFXSV7i4qBgOFrc8IDGFoG4sbkaYR5TQbGa1GSrsxptMasWF6lQeeHPNLf7iRhw5vYfNMyOZWznTLOHA79m5ImrFl/0ac0YoTMj2ml8QIJQkLBi81uHDs5fziNKQdjWy5QNJgtgD5KGcQWQaPI2lr4oNiA1rD1Rca3vUz5/i3v6+5a/8WUh0wzgVJrh2LCxqpJg4NUWh7VwMXdwTKlggrKd3xcV35xaNXmFVemH6sMwHukoQ8YvLBrT3QlsD33itq9UtW96TOsZMLNNtHvv/2rz54aDxO/93/VgbvLp+gPb1z9777fv+adHiSOBZll4zMJUpWgYbSpgpCtHEdJUVRj/EALsoDlWv/gAmPKaqspPHXzIK1/aCyWG5dh45ywVQQuM4gV4RUVA82wtzp5pRmY8zs1IDpdo+792X88h9t5MHDW9g0HbCpmTPdMHQcuJsNaycW4G7GOY0oY6qdsO+o4bYH2kRSEirtgrjKoyiW7zRXZDrgJc9OufiiPoeON9nUoupzHOcMRo6FA0UQhK4S03rXV+2G3/ipBf7dH2q+8vgmRmnTJsMyQ8vVcMchFuRBsXrpsrdVqrxc4ZQUHsCFB3LW6JUK5KYO8LJCsVp511uZK3anzuCezMmLfwfFk4fP8Nkv3HfNb/zHn9r91OGTxy6+aOe3HuCrK6cJ45kLzxy767dGg+U36LxPFITkMne62tR80jLwKO0lg84LOSLWLGmFP2xKT3vCJVnjljjmngS3MEhV2IKu5kU51g4MUaAJQ00cauIooxFlNOKEVmPMhukBy70BdzwGv/EXW3nkqY1sdOCeaRo6TUG7IUqv3Dov2rJ3ZAHejMckec5o2KCh7EUmhahV8hWJFBtoBlbLB2PGiWGYCg/gmijKicKAMJR2qoAMS4Aj4No9gt/4mWX+219m3LV/jtOrU4zakpnc0MkMDTdxIA6N8/4LJ8WU7F1IlQLg5ed1H9rHeakQ3UkpVtUK3HVJaas5PbDXgF5Yv9Vqnnug1y6p1+8OmF9cesNnbr0rf8nNz/rXx46dPrp79/ZvLcBH3SOkw+Zzu4uPv6m3fIAgiDBGI50N6PuiurT8vPeM09tOilhQC7e0FQmbuhTxAV4cYl8VFifBjnso2Lvqxq+GA9my2DDQbsxEXoI7jhy4N/SZXx7yjj9v8YmvbWKhP8umacmmhgN3w+rulgssm7GkFRvH4FZ7N+IESPjSQxHLacRcTK0eG1FfofLcNj9MxQEvu37A3QcSemnMdNmxronGtlY9CizAA2UbsoW0CRoMXL5L8pv/osun7x7y6+/bwsmFWYYzATORoJNpWhnEqR29HCk70CgsAk0pyiC4ePQDdf/CFKLsFSnPD0xISB/YXvykPfD7eYxJkOd+gKqtLYkMuO+hp9i1fcub2p32n/d6w6PfUgbPsh5KtS9ZOvOlf5n27qPVBEOO1sLaf0agcpfSLTJfBYO7DFgB6FJrl6AuJIipbKhJ1vZliTvQBbMU6ebCBVAFwJWx5bhB0dtp+zujMCcKMxpRShyldJpDgmDA7Q/nvPczU3zqzs0keorNU4KNDStLrAVY+OTK3YVjbp+9U4JgzFefmGGQBGxrFZ9nksGL1c2WkjZCxfOuGJJpC/BhKmzXetG5PtY2OAzcbBhn7xXD7QyCjTOC739pn058mvd9ZsgdT8xxNm0yaEimMkM7MBbkgYtDlHFxiXEgL46hqGrHJUgqFp/cUbCUKsWICia1ud89VNWeF4yerxOc5h4B5sa5NBoyE/DZ25/gqqsu+5ff94YXPLjSHRyc+SbmHn5DgI/7hxic/xgqnN2eD/a9OJDnaMQtp5nsSVJaoKUk1wZlKubW2pckFXvX5EihtXHJhBqwPevBt6+EmZAmRVbOVgza0W7a1Xw7cCtbixGHKVGU0ggTWq0RUTTgL24NeOefbebQ/AbCuMHWjmBDnDMVG9oxtF2HfTO22c6GSwjZ+pXcrQRWnix0c/pJRKQUkayaO/C+SnFhF7UbSRbSDEdsnRmyMugwTIUbt2ZjhTDMnc2nnN2p3KgNP3C1lY9veGGfG6+c5zc+MOKDn9vEUtZmEIe0Q8lUYGtw4gAiRdkMERRJn3IOjSizwEUCyCeVuljxgU5tBdamLjUrbT5xX2M2eNlrUxgWikOnu3zyzgMvPjvQ288trB58ZP8Jrr181/89gBuT09zwmgvH3Yf+aNx9mCgEKbOy8CY32hXjaAIta+lcY+oSxeiqvqEIHsuDgPAkiZiQJgW4TcUmLvsmfYBLg5K2yKti7tyBPCMKrCSJozFxOOTouYw//nSbj39ljsPnZplqhWxowGyc04mNS70X4JYO3LJMCjWc9o4je+FMtcd87KsBB481abgJXGW7GBXKyzEOxurwNAu4fDd854093vvZOfqtgCk3eyROXNygNEEg3dg6PJCH3smyhHPBRskv/5MB1+w5yR9+agOHz06zlDUZhAFtJWg5oEfS2AvHuUzl6lcc18I+hLJhxf6fWeuTF8RUlE6UvvlaS9H4IDZ1k6GUJwWwXc4gM5DLgC/efYBX3XzFH735zc9/7bnF7jeUKl8X4GmWEqiA7sJdO4fLj+7NkhWUChEiQ0lbTaZMVYhjm3vF2ue14h1K8BufvY2ojUo27oRRMHYBclEB2z5WBV1KaueaFOydEwaZ7dwJMuJ4TBSM6eUJ7/5IxPs+vZVTizNo1WTDtGJDZJiONC3H3K0yfS9dnYqTJs47L8Ed2ezlOE04eDKmn8TMxs7FKZJOhStRZGGLE5dL0jRgqh2wZ2eCikf0kg7DSNBMDeMC4EHuEjXK+tiyKAFeL3hVbJoe8NNvGPCml5zlfZ/u8scfnWNh2GYYNGgEilYgaCpDnBnL5q5PNpBVeUOR5VzD5KwjVyYdFqjHUoUM8YjMZ/EyTjOFiyJKiZJpSI1AC8nCwiq337N/72wn3vmGVz77aJKmRGHI092+PoNnJzBMbwoD8ZGV7p1hGAogx0iNNnYOnjGOyV3FmSnkiM/iRbGOmQC2A3zF2AKz7gcxnh1oSmDX5Il0VXIqtwAPcgKVE4UpjSghChNWRwlffUTyF7dO8dGvzDHKO0RRxFwkmIk07cjQig2tqAJ3I5bEsSR20sQmhpwz4QAehTbzeeSM4Y77WyRpSNw2awLM4lalsy0RJKkiDANefmOPD32hz4GTbYYNO5phHBqiDMJUEyYapawda2WErIb7UB3PXEsyLWnFAVtmhvzb7xtwxQVjPnhrh/v2TTM/bDNSEWEY0AgETQlxMWCpsFelsfkEgQfyes3KZHGWz+gFQU06YsXrSnsLj80p640yj7kTB/DcACrkrz//cPiGV93wkVPnV561uNyf/3sz+B2PbZNb2/c/d3f7r6c7zSVyHZUsoY0kkIVMkSg3wFK7gvkauCdkSXkvgO0kis/gtcIfNzEcYVwix456K8o9re42BCq3AFd5KUeCIGW1n3LnY4I//ewUtz4wzdJqB9ls0GkqZkLDVKRphYZWZGhGONa2zN2MJY1I0YgEjQhXoacduDVxaPW3CsY8eRJOrTZsYsXp23ripKqfsX2QFuSZliRJwJYpwSW7hjx6PGOQhozdjO8owYJPFZN1i0QNyIk6jeLiKWzINLf14W99+ZBXP2eZLz7Y4/2fm+K+fVMs9lqsyoh+FBApQSQFsbSN4IG0u9QpUV2kSriy33UYfE39yiSTe4Sm8QJPI8ipvO+CuVMH6rQEf6Vvlocpv/Nnn5l+57950XNvuOriz/J1hgd9XYAvLR2Pz58Tv//4ypPt73regDTP0Vo5+aFKIAfGb/S1APfBXXuuCx3qAdw7IDVeqEkTUyvQt7JEO82tUTK3A/ELN0OmzPcybr8/4DN3dvjEHdOc77YRjQZhJ2QqgOnQdvI0Q5zsgGYk3F26klOnuyNBXLB3AfAgI4oyGlGCMSlfeiDm2JkmGzcIQqmdjhVVo6/HdsazUPNcMRyH7N4iePn1Az7+tYR+GjJMBY3Q9qtGbrJUtUqp0q+2c9SpjqsR3soqXdY0oBmPeetLh7zyxkX+9is9Pn1ni9sf6XB+tcVQRAyjgCBUBMKO9AilJBTGSS2DQnjSsG4frkPmNResYm5RBqD5BGPbe/W6ArXr1tI5mBTyERdM39e+5IIbfh9OXAEM/14A33/wbhaXe9z5tTHf/aKUpjakmSLPA9fYK0uwq0KiGFmTJcXr4r3aSQDbO7lOTWAtoPSAbQd0WkkiHMCDICcKUhqNlNE458ApOHpa8eHPT/PZ+6Y4v9yGsEEwFdJSkk5o6ASaZmhohtAILbgboZ1JaMtMpXcX7ufGgVyXII9C25526LTm0SMxhKFb5o2Xohc1FPhBmK2XFmS5Hed89Z4xV+7ss/9Ui2FD0MoEcWoYK5y1px17F25KYUFWWqX02cukm3LTB0JGSUizOeZHXjPm9TetcMv9ff7qCy2Onm6w/1SLZCUmiwNGQYBUdqqvAgL3WDB5KV2ogv81t9JNqUCtqUCtqaxA+zPb+FyKdpO7LGAGuOd5hjQJP/yq0yTdx2ZW+MkfXO6Z98521vsAXwfgxhwQWdr/l5/79P+58ctfEdz1WMTzr0qI4gypUnQqSRJlGd0ox9AVi9eBLSvdjXCgxnucgHcRqZeazyY1rCTRbpeHnDi2k1SzPOfsInz+ywGHTja57Z4mp5abHDrdhjhGtQIagaIdGNqBti5CaAfnN0I7rs2CuLhLd1cO4DjN7cAd5sShZW97YSUcmYd9R1uEsm4PlhKFqh68dBQKJ0W7vsYs5MrdQy7ZPOCxwxmDLKSTCsYBRJmdCag8gEspEFLWmBwm7TdRBrNFH2Wah4zDiKlmwg+9aswLr+lyarnLl+6NOHwi5pYHWpxebJAPQ7QMSCPl5rfLckMCict4Qilb1gN5LdDEz1IXbkuhUbV3d4xdgDrNIdWIIEeojJuvGdNoCN75noMzb3tr7+eiKH3fWhR9A4A/eP8nyPPs+x998lz7yMkmb3/XBq7dm/LiG0ZcsSdlxwbNxReOUUaSp7K2JNaBXkgRB2yPxQu2rn8y40XsFWuXUkTlhHFOmhsOnxA8eljx+XtaPHYk4okjTbrjmHESQxihpkJiJWgpaAWapucDx0FRp1GUzdq68NjJkihSRJF0F4CptHeY28xiaHV+I0oxOuHckmRsYoJAEklD4NlsEwRegjw39X7HJAsRBGzakCDViH4aMgiEdTrSqmAsULqWgZTCi2KLYUcIjJYVk3uDkcJcleMnBuOIrbMJF2xJefZFY4bJkH96ZJXHjkZ8/u4Gjx5pcPh4gzRTECuMVCAkufSyQWWSYh2tUhPnhQ9cPGrvceKuNaSagJy9e1J2bMi4fE/CS24Yc+3FCZs3aJQ+wBfv+AukfHohsu5PfuO9t/Ch25bU1+65Qzz2+AbO9yTnluHxw4Zb7mkzHWZcsDPj6ssTXnXjmJddl4CxbVHNNk5nS9CCzIG/CCRrDO5f8sYCGje/JAwMCI2QhjQxDEaW0Y+elPzlrTGDVPHQEw2eOhGz0I8Y5xEEEagQNaWIpKCpoKUMDYUdZ6Zc4ZGyrB2FwiY9fHCHksjJkjiCOMK5JjZlHgaaKMxcRjSl2Ug4v5zz+bs6rPZiZqcFgdRlyUCBg3WZTXsBoZaMx4qNc4pX3zTilvuGHF9tMwyllSkBhJkhTAvP2nnsMrd2If6sE1n+DW2CWslEnkuiXJEHiiy0Yx/SNLRWapjSjlJeeHXG864Y88YXj3jyhOThfSHDRPHBz7c4cjYEIRkMA/JEFeWbmKAA+IRl5KdvawAHjEbkBqENxgG72c4JQ40wmpddP+ZVN4646rKU3TszpkPYOGXJL88FP//9Xbr5fWLDhhernzz3kayz5S3fPIPPTs+++8CJ5rXnhjMQ2eVCa818P2Rea44sae56TPORz2ds2pBhtOH6SxPe+opR2UC6aVpz3dUJ7YZbcYwoc2Brz7koh/OsDgQPPxKw2JU0G5J79oV88isNRqlilCrOnI3QIiA1IVqEEASIOCCQkkgJGtLQcMCOlSFWxtaAB87zDSrmjoq+zBLcyvVoipK9o1ATRUWBVl6ydxSlKJXw5QcVH/9aBxUF1m6r6e+nZ/DCC8/zwvFQjEYhr795yCe+2uWDX5qmnzVoOx0eFjo8LZIypuwWEkKWALN/Snpa3wO4dqMdAsvkYaDIgoAgyy3QVY5SdpD+bCPj5ssybrosxYgxb37pgFFqx7n93Vdi7t0X0YwFC13Fw49FdAfSqSTB04rycucJ2xp43XUpG2dy2+SQa976ihHXXZJiNGyaNWyY1QS2KAOdS5KRctaipBlAFKbXqnDu3cC60/TXAHx5ucvMTGfq1/7HJy5DCEXUdEU9mRtPlYObgjTWmnOrmnMrdmjMk8dbfPLL9ko0uWF6VvPcaxM6TVsHvG560r/Uneuw0lfc92hEd1UhA2lnopjAMpMIsHOBA5ABUkpCKSyYpSGWmkhaIEQKIlXN6LMgF1XDQ2AbAYrGYx/cluFdWW1YMHju3TPiIMWYhFMLEcm4QTwtiVzaW7mqvFoWU1CRl2edlt3pWpGkIbMdxa6NCZEYMcxihpmgGdghmEUNSZHQUtIvb5Xl37J/o3C1dJU91do1n1TSKMtylzdQbi57RprlqNTmEgKVI2XGzo3arRiaKy4YkZghMtCsrgruezRgZSBRpWKpB9W1M+2KsdoNzfOuTZme1ZjMruxNZY+dlbkKnYYkppC+lTuktXIWq1KNaHzZ7AX/ZCoZd7tRXO/dXAPwQycXiM6uvOuhx4+8tNvtE4aKTIMxyp2dIgCYCAzQZMawWixBStNdMZz5ctv7iusB3Ndv7uQIgS62XMDVnApVBTlSOiurALVLO0vcxq2Fb+w9Bq6TXuG23qMEt23rUkQO3FFAWWJqGdyxeKCJXHY0DFPiOOXEguYDt7QhiAilqALMUp6INQzu+8NFgsyCzQ7WSdKQt716yN/ePuSJcx36eUgrs5vS2ipAU3XiqCIn4Ad7ReliIYWkV+BV3HVZCxMEijC381JCB3Qlq6SZrRt3z4V2g4NyAmEQJmdjS/MdL9AgciczAVHsn7HOOS9rjARoRZ4GFPNYslSSUgDZPoIoTYwqYWiD5jQdorsHX9oaHH2X0dmaLdzWAPydf/JFpBTRAwfPgoCGgFRYf9LaPdLVG3jrbAF28MBvQBny0AP3uvgu2K0AeD14EVKWLWhKQChsWjkWtlowlPZ1IHE1Fa57vCgkCvDmoOB2Zqu66iuAy1K2xJEpW9qiSHuDczJCx95RkCJlwrGzgvluAxEExJKaPJH+1/JOty8dasBzTkeShcxNjdm9dcj+s2OGecAohzgXhLkhzJwOzyidpSqFrmqdCkVsZyftFnXWwpNGmiDX5EqigmL7cuWK1ey2MkpWdyE1yoFcFH8bOyVLSFO6XgXQCwdsPYBXyb0qLitMCWr5E+mCZvsza0HbAFoIg8iOMJr/cGTWUQhrAH7fE8cRQrDUHaGELaOMcKMOCs/S/ZHS8qFQHwXwfar6erIE15XjFdYLgaRKEdupVBAKQygcaJ0EKJ6X7zmyr0pBKRtsIyUs2GvglvYxKoBeBJ8O3EX3T6BLiRIGVp9GUUpGyqe/2uTcfJNwWhH5NRy+g8KEIvVT1171ZZH0GY3tBNvXPb/PVx8Z0c0aDIKAZqZJXDpdyaogqig4sxt5FX+pCDRFaUta69DNVDGQK/s3Ay3IlCDIpdvFztbyZA7oVTJNlwk2KbWXeHPPpQ9uZ/OWe8U8zfn3Cu0oTQhq7lu9bqn+nkBjdJ9seHDdf74G8Hd/4PPMdBov+KOPfOXG7vkc6ZGBQZe1AoV5n0Mt9Vr+cb7xxiulICmSBQJU8SgMAZRWm3IpYzvfpNK4qgB2MdDTyRMf2OUcFIXtR1wP4EXAWejuoJAlxuntei15FKZEYcLZVc0DTzUhiOwIaGnK9HzJ4NRZvGCuygf2S0Vl6Ymnacj1F4+ZmxmyutxikClaCsLMfheV2wFKKvUBjgV5+YfkRKWmcH2TrjhO2V7aUAtyJcmVJleCzIHcL14ryiFkAXIP1EXJhEA7kONKmotMdJW0qxVj1OpXfDb3PjNPB3D73wisLSrCmRvbm1/3gqVT33Xnhh3fvT7AdZow6JvvaMv8usiMicIQg64fpGILDEyNvXUZ2Lh/i7WKRDj7xDeTiqu8yIpV4Ki2O5ks4QyK2ghXA16Uetrm4qJTxcoSVXavVMAumm8tezvNHVDq7cIStIxdgTssqxNTBCmf+krMVx/rIOOASAo7f7usIPTns/h11NVJLWt3vArMXCtyrRiOQm66ash3vrDHH3+qQ5LH9HNJIzeMM9zK5Vf9aSfn9MQF9XRMDjqQVV2/A3euJEppy+hSutES2itF9muATAXyWra5YPJikfZkqlhL5v7IvaqGpZApk2UddbAD6DxFq+C6KBl9h9H5nesy+KEjJ5md6bz6zz/y+X+yvHieqYYEob0DY7wTU6VgcexdwNlXJIba9eq+rMfgDtwFAKQHCklV8+CPNiiY225BUrzGMThlG1aNxV03TKjq4LbjFCaY2/VsRq69LQyKhoPMu6ckpPzVl6bITYwqs5d+gFn1NRbORk2DM9Gup6WdDpUXwWaAIOStLxvw558es6JThnmDYS4IM0oWl9IgM1EWnVm7cHL9lFTWpPBALsgDN7pBOZAHBqWtXLFj9mwFo80e1+dNKjeh1q8TKmpVyqaUEuiVVFkL8PraXgN58XOvvKMOelfLs7SKbA3/yfaLXnNbd+XULVMzO+oAT5KU4XB88aDf3zvq92hFkavwqvrtquXVSZBiNom31HwDxW2/dMHknjwpgT5Rnllq8QnNWYDen+2hlKi0uKu4qw27ccAOlKiclNIOtB33tjHZOOauAszAY+84THjgKcnB0w2MClFSEklNMFmn4QnwSReluJedTlp4frUFeZqF7N2ecuVFfb72ZJNURQwzQUNCmBuCTDj55rpwMqfDkVYu1P6k8MhKeNKoGuVRzIQMlC5nSCon/SpwF7VAxpUJFExOuXoID9yIYmLW+uy93s0UzatUgWfB9H63l99QMxoPaQ9He3U2vljn6S1rGPzs+WV6gxG9wagcVikESANrAkmvSsxMfrCv87FL5vaZfBLoHrhVWfNd2W6VZBG2e15U4LZBpii7xYMS3LIGcH/4j+22pwR2ma0smTsnCmxix3YFpRhS/vpLLRYXm4g4sL67fxFO1qBU5FSzCIvmW7+Ou/SmtSJNAzZukLzl5T0eeGqKcd5goCKaudXiRTmrkjhwF2uFdp64Hw152eTib7p5j7VxDRrXhlisSKZ8Lstt1Z0Gl8V+R4U0kVVzxCSDTzStVOm+tYV2kyrAr1mqxRPlsbMxTZ4NGQ0XyNOquLAE+P94z98ilWRpaQWllFtyhAU41Ykplwz/cQLET8ve7v8qeTLx6APaZ/HaeLGKsaXP4Ep4LF7IFYkK6gCPAjcAKCy2DnQZzsAQlql47Z7ntXugbOfOE8fgI7d2GMsIJZXLXtYvxMkM5ppl2TuWdR3utHiuyPKAOA94y6tG/OlnBzxyuEmqQgZSEuXauUd2bF51nNx+SMJfT7X7W/V9i3wmzzUEpYVoR1srVxKgclMN6yznsojygs4m9Lg9n36xHB6TFyD/Rmu9z9wTcoW1rC6lpL/yBMf3n7Rpfx/gB4+c4uILt7f+xb/7n3tOn1koh1YaT3uUrubT2Nprr8OJ12Ly+Vrt/fQSRZTAmRyHLD3GLoLMYmpTEBSbvDrtrSbAXaTvw6IxWduZIWWLWNHTmbl7igoTDp4K6CURqMDJEzNRHjt54dYPSH2g0YQX7rpxqsRPQDsUXLZjxCMHE3IdM9QRjdzWbAdOgythN3K1iaUy/KIIMismryo9iw73oBxsat8rBqYGGtdBZJC6mhBQTNfKi+7+0gCogssy8Jw43wVa1jRM1FymOrDqLksd4FWQJxAmodma3XPZDf+qNej+zKA1tdMC/OixMywsrLxq9465X7z3vhFh4KVcayxt6suHWe931i+E99m7+JnA5nN8IFTArvoYlceKqjZUswA5VY208kBdPndJHoXzwi24LYCroUChL0989laurzNKWOpp/sffdFgcNhBxaOWJNLVVpRqc8/U1Z22aQDEnpmRw66hkWcBUK+Dt39Pjiw9MsTiOSGTAUEoi10NZjXxwDO7X0wtdltFaR0xijMYgqTsrwjG4KYP0AuxKCsfgVhLlpYtCKVMqHV61E1YypQg8K6uwdmwmVrn1Ae5hjspO9C+Q0ShBRVt+cXn+iTuzbPi34Bj8vgefoBFHHD5yjEBkxGFU/sFakt2s/UNf9zZxguuDHSdYmyqtbefkTUqU+mCaEthSIFU1fkx5oA6kJHCSJCgBXmhuXQaVYaBLcIdBUX9RZ+9QpURRwoe/FPL4oSbIECklcVEa61mb5R7x7ks+bTUhFZuXO1V4MiXT0m3yFHL13gFveGGXP/1sAx3EDGVELEWZ9FFSkHoB3SSTC5/J/ayhVxOjFShjVwVthAV3MSXMDVOtxkpUs2iqybS2j1PIujwpnZUaBqrX38xtLf4qV90+k4x1zuL8SXITkmd2Y4gAYKYT0mhETLcCmpF1How7C763Xf6DxmVbnw7kxZfw3BL7dlGYb9YMlKl5xmVgKSo2LxnyGwFcVgBXXg114OpSQkopEqrKLQm94UCV5rbsHQZ2atXyqubvvtxhYTWGhnNPhBeMPY1EoagRqZ2tp7Htyp5WWz1n3ZSA2SnFd710wCe+OmKxH5OogGEunT0pnHsjqmZsOZlY0a6uw76lSzaveiODwllR7rkbe63dOOziuPsgF27nvFJKOnliV2dfj4sJuSLqABcGYZ4e7RZvBfA8yexeGGO3WBwlMa2sSZ7Z7xrs33+QjXOzF97x1Xt/bmH+HM2mLU4sMpNPt0Q83U24D1MQmGHiZHtAr9/F+hKlSJzUgF2f/e13uNjh7tTBXexsUDC38ph7DYMX4yaqkROBspnLI0cFTx5roIkRMiibc6vqQT9+EJ6rUX15vxalBDnCkyeidDLKdrM8ABNw+e6EvdtGLO5vYvLIsnhuZUrguTgVe/qFXkW9kKzsXOPY3FQ+uZbV3Eg/tlHaXjTa7dxRJrRkRUYluLVws1QKTS4mpIqYwIMpX6wnU6r3xATA6zIvy0LOnZtneuNVP7fnshc8dOrkoaNBrnNG4/FWY/Srl5eXiKOIPDc1e3BdcE8K7skPNKG3Jx/LWSHUQV6XJ8JzJoQXbFaAtgyOGwXs++D+3W1prXxweyB3+9WHrjS0YG/lXgdBilIpn/5ah4MLTYgqeRJ61mXtgmXtuIg1rFSypx9wFhnNuhZPkoCLNia87qYB9z7RAh2S5VaLh7nL7uZ1qVQxpx8sOZAb40kUT65I91y6VUUWd+G2pTHluOVc4fZkEpUWd9Kousiriw6PyREl/+KPwJ7U45Nw819U7F2MnghYXV4mz/Wrs3S8Vef50aCc3+zArNyZKWolvhnWXotuasz1tPZgcRCoa+1KpoiyDHQS2CWbK+E14XrgdvMJq207WAvsoBoQVI54C7QDeWbliUppthK+dkDxt19uMxxF0AoIpCAUdWky+fn977wuwEuQezLFTCR8HMjTLGC6E/DGl4z47FcH3HMgwrRDhnlMJCgvNFX+/UoHe2tpCXI/Z2GDT3eBKcvmubR6XHusXQT1utj6RAtPfwsv0K3HUJXuruIC+54oge6D+2l4c40i9gFeZNaLiwpX4RiMxilhlDIaZ2SuDLMA3tP9ATHx3nofpsbWawA+KVHqE02r4FKUoCnn5Slv9wYlXG1KBe4K5EXZrCEIqhHKgduEKVB1oIclW9u7UjbAjKKENMn57F0tnjjegjBESOVA5eaGeMGlkPWTOukaFQetSje7TLGXySw6VgotXtiFSRJwxQUZr3l+n4ePNhlnEbkMGWpFlDPxWYoTzQSD20cz8VlQxcWm0UqgikSKFBhlE36FHi9XVAlSe7MMdbVqyEmAT8YlTAD/fyHT+XRkgbGlFkpmQAqkBH/6F59CKUWv20UqBcKx+P/qbR3HBETtxK7R3KwH6oKx/QCz2oGgkiaeVVgydgHwanJqKVEcc1vGNiVTB+Vj9Tx0wWWgUuIo4bFjglu+2mIwjKAdIkVROYhnD66TxfS+p08NRS2KRZdbLX03xU/4eAVYSRrS6SS85uYxn7h9xMOHYwgiRloSOS2utG268qWByCnlgR0P5TkEqnJyAkUlXaRl82JVKYJ8bSzYpa4SbUL7boo757pi9skcxxqAT4B+kiS/aQgKUIHi7PH76C7uR+c5weKCTezkWUaoZDU695u4nMQ6f6D2s9qXEbUreF0Wlx7Yfc1dgtzqbT+bqZSrMHQVhbadyz0P/PngE+B297CYQusK/AOV2XuQEoYpmcn51J1N7nisCY0ApG1oDr0S3lpprH/3X6zHOsa7U5SzUjYj56aYa1IBfTwKefHVA173ggGPH2uQZSFGKIYiIMwpP5PIKxavPsL6TO4PsVeqYG7L5va1QGpR6vDS7y8YvVhtHYOXQzsnwF0LOGsgr1yV9YD9dWHoS2JhQEp6/QHjZIzRhqDdtG1gaaoZj4uhjvV/4Ju5kIT3f5OMXT23L6QPcK+ty99ZoAbsmlTx0/TeXU2AW3n3oNoEtQB06IG6cE6sY2IflUqJwpSHjko+8qUOEIEMEUKVXUTKbaTqZ119R6g4cqI8Jp6gK0CFz9yeBjfC7oih3OiHcp/4AGMC3vqyIZ+/a8R9h+wkgVQrBrlwBV8OdHkBHK8OpLq8ALt6oOpVosVPlQO9lm4/nyIoLrS3dGwu7GN5DrU3sFN6F38tAVZJkup4ff1Ac11furYKWEKQY0WmQ4wxBM1IIqQgEAKTu9ED3wSixZonfmDpRcY1De5NWZ3Q3ZVUES5ZUFlPBcDLOXk+yF1rWrXZlN3ZoRqAX4G7xtreY9FYW0gVpTLCMCPNM267p8mjTzUhDEHa4DISxpsc6wdWYk1gJdYeMc+mK4AuPFeDuhZ3rWxaOUclDxgnIVftHfHi51oWH+aWxcciYqQhyEUV+OWFXWgBVUkU+wH8eiLfulQSjDJII1AGm/00AmEERoA0opIqXlBZsbc7r9q/8L257uvkQexRWqvFxXpgexpUGqPRSILMZmyDZkNZbSs0WSaKP1GegXVrTGrsVF1GdT1VWEKilCqVNCmWqrpjUt8jZqL+RFDuvVPuXlw039YaHqqtS5SaALc3FL90T1SOCjyAO4kSBSkHzwje/9kO4zSEVujkCWVrmvJ3CS4v3Cr+qOmVdcjIB7ovU/zNAbRZT4sHtGPJD79mwKfuaHPglL34cq0Y5MpWGeYu+YOw+jsXlVvhrSRlCYYHcGsR2wtOOo0utcFIe46MFBbg2ouVCibXfiy1zsrmAdr36H0SrAH8m1QQxXHMc7fjSGCrJ9W7f++3tzSi8P88cfLE5cY44Dm96zNqeZfrvecXRXn3wu2QwtWQ1O+qWPqkcGWYws3D81yRiXsxMsH3uMvHoNLd1kGpg9vfq6cqpnK7PwRp2cwQBgm5TPjTT7b481tmII5BNVAqoKUMTWXcOArKBufQa42rMql+IkpSTYalFqBWsURlOxYXrZC4xt+qF1JJgzCaXVsTTi1I7n80IhN28oAWCiFsKe16cU8dMKJc9YX/2qvew4G9uhionB+Y0PD1zq517/5/47lJ5RRi6o9lc432JJSTSsWjv4lZlsM4gb2XPmvrVc+6+QvByVMnZgbD/mvzLCVQklzU673XLALrBQDl8uJpKd8C8p5XCQDfPZmoQfFZu1YHbmraW5ZgqCSJ8rS3Knd68DaiUmZCkhSVggV7p4RBypOnJR/6YsvNX7HsXXbuF39fUBsvLL3v7Qeawn9RAmgCHNqvDanmChrXQV5M79W5IldOi+cB3/fyAR+/rcW+kyHIBCMkozwkwNWLFMc6dyczLxI/BVQ96WTsa4OdjVV8tiLpJw1IY2VLobulsX/DaOePaxeg1lbnOpuvK02893ycrb0o69iblFZaC4ajhO5q97WnTp2cCYaDMaNRgtZFQCAwbveuyX910htfa+lMAlyUy07NNvNlia9jZf25D3DbRVLob+95AeSi2q3Q4B647URW7R6tHaiURhV+t8pQMkM5eZKrjE/e2WbfwUp7SyGt91120LDuCRRMvvalnLecls/rDcg1T9zrWAm0sLUpskrhJ2nAFRePef0L+hz6UEySKxABuQgYCkGQO/uuIB8KR0Xg83EZAhey1AhUWfdhpYkxxmnxoiTEVCl+AVpa4OtCpng+uA92H8hrwO6T5RrJW0f25Fs+GUth0Dojz8YEw7HdxStJNXGsypPi/6OGCsBrWPtprrS6HTT5BdcmAtZvbqizdvG6YO0C7AVzl0BXPpNXulsVQWSxxYnUBLIamq9UThimHD6j+J8fm2IkQ4oJWlXXvFtB/BpoX0/W7ICnv9VGyjgvvGhh89uxtJe69+tTch2Q5SFxnvGzb+rzN7e1OHQ6AJWCDkhFyFAIVF45GtIPNidAXnjzBgiKC869J41NzxuMY+3CE9c1Njfu72gpEKZaPdaaCQ74Hlh9sH+9Mo9J/E3epLBj+dpNwVRLEqS5Ic01uRvvNbnl3SRDr7mifJYS/pVYT+SUz12V23oM6ANbTLB2kUipg1tXEkXWGTyo+dsOzDW/27tLy+JhkNBNNH/8iSlOnY9BBc4alE6emJrvXT73v3uNpdY/ljWg42vSovHA79EsUviyvJfNEFKRZwE7No35yTf0+I33R6ymNiAwRjLWytqGefE5DOSCSmFXIK/+3/5EuavQzW+qHmXl+EhpKgY33rlzlqEpGfxpAk4PvLrAlY+hSWBPgny9i0BYPFRbJRb9jZ7f7GfffItmTWQrqvfLD1c+F/WlCAfaCTBMMncB7Iq1qymtJXu7gvsK0B6TB9oxui6liZUj2pMqBWNn5WOgUoI45aOfivmjv55irEMrT4Qq5UnZVDxhidV0d7kCTrDA07B4gavKKvRBX6TsDVrranOvMvljtwJvBBk//eY+Tx6LeN8nrRYHRS4kI20DTplTMnhVgFWcLL/uqLIrLagryWKMY3NRFYpZ0rGlrqaW+LEypqxLd3jQPsnVMCPq+MED+jqL4iTw/f9OUvWXBnZ8QtVtXnSCr10aJmqaJ5aTSd97rRW0tjZhbWGOmZAoxgsy3Rbd/paByncdtCdVCjB7TC6r6sBSd5ePdtbg0jL8zRdbLI8LcFuAh9Jq70DU5Ult1SnssvVOyITcq00pmHAG6vKEautFPVEnLiVKK7QOyPKA6SjnTa8Y8PE7Wyz2FMgUtCLF6vHJ6sKJaOppmdzmgaqkUFGfUgSbxrF4CWjnk2vDBGPb84kQluFxUgaqC24dLNXkyiT2JnBYBMaZESSpIMkEQTmXL1KEgVz3H/DIugb1yYtAToJergX7moDMb3sqAeONiJCmpr0rK21tUFkMp6nAndcCzCLILPa5CTz2DlsZn/pyg3sebaI97W2bGgp5Uq83KVuzPPb2PX/fCl+fxB17lhZaJVEmmyGMH3QaaTcecL54locEOuN5Vyd853MGfODTEagEhMQIwVgHdgwfthq8ApHxTrGnyT0fXBU9EsYe/3JXaukVikk746XG3MZe8MbDgC5IrCBRU/yssjSflrnFWtxNPtfu/3RuN+9KUgiK4e+NyHq0fpXZ5D+wrvivsXj9+SSwy4tAmkqqTDC2EBPsLerArlwU91oZAjdiTErnmEjjdLUnSQrHRHoSRVr3JA5TDh2XvP9THc72IrvftbSD3pWg2rFhIl5Yo7t933kd9p681RI9HrOv2WqxmKha67q3++fYR7v9yZZ2zo98Z587H405dE6CSAGFRjIS0ttEyoKqALWoXYWVTCr/v8xmuvPgs7mwzwswF7KlWInL3ApFt78r1pXuveK4lZ/De+6zOVCOnqhpceHDFYA01SSJIUkNQeTtUSNkVYA/mcKsXVFPA27/CvQBjcBbIuu6u1i6ygNf1ld7zK0KwE+AvJyRPfk8L7V3weJBMQ5YZSiZEzhbMIpSxrnmDz48xR0PNG1vmwys9pbSdu2Iav5K+VmLlcW/mNdhcv/4+Vhfm8GsXItqj3e/fNYvo7XtZuWc7FyTyQCVBbz42Qk/9dYuv/oHEeNM2gyUlmTOVZHal6AW5LURDsa2pOF9PvtaeLGB6643YKRxAaYoL4Ay6CwvelOrVxGOvf2AclLKrkema6WJJ63KVQfG45xxmpOkmsDOybZ71mgxkTGaBLgPcuqArmfMfDY3a4rfKxb0B/usw97e/vNyPXkiTdntbbfN1p5E8cb+Frrbzbgug0uZEUYZX7ov5ON3tBgnITSDUnuX7F0GttTu63n7teNDEXCuT99+YVM1VdUHNxhVVBnWa8VzLZHaSpUC6FkW0GxlvOnFQ269Y8jn71PWNkSCkKQiYFisoiX/VQVZYFnY+MAp715dinSfU4Jy3694bZw0KYBenF8jBLrcftAFnkXf6AR+jPcemDqLl6D3JFVxHI1Ba0gyTZppslwTFL6xVNVV9XS9n98Mc1fAN+sAei2LC19v+96y9ByLQv+W+6nb16X2LiehVsAO1ATQVQXuwIE7ClNW+oZP3dniwJmGvdKFLYkVhfYWeBOkzBpwl9+t/P7CA/rX0SflSbGsWVhykynsEtxrhgNVNSpSKqTOkTogHQdcujXlO1/Y5559EauJS79qq8cTFMU+EBLnjdfKaCsmM9jkTnlBSuu2KNfSVrF5IVVcwke4GvIS6KI87xrv+JmK4SeBXg8463NUhL2i1oDeYGdoam230MlyQ1DMpNPav2rqrL3GklknGPCHaK7vCdsDAb7FVk+WVAFmBewK3IUPXgWXshzMbmqMXQsoi0SO76JI2ymvyfmzTzf5o491MCKwvneNvam0t1znc3vfsS7fxJoVbz32rlXyMam/CyZf28qmi7S91uhcoqX1xZXUpHmIVJqffuOAp06H/NHHA9KsArlGMBYSpYtBEoVW8EBegtrpCuwiUMJfuJR+wea4zKaw/6Zxq7MpgV5kfp2oEJ72FlXQW8UG3nGc2DpcOM1f/M461SRlt1egBEG3b+gNYJRAFNXZaJKt6z6lWZe568CuZ/lqDO4Hld57hcddMHs1E8953xOOiSzArSbkycSe9crtPWM1uG3Te+qs5OO3ten3Q2iqtexd1nx7q4uoEjw1STbxHL5xkqdicA/04GlxUXNPjGs6KIEuvc14pdXiUgakaU6nnfHGlwz47FeaPHXGJRXsgGpyIRjatcZ+Rl0s3RXYTQlq55bgkj/lglM4KUXq3rK3KkDoyVAf6AWw5cQqXx47ybrMvR4O6zpdlOQZh6rchj0wIkQbRZoJW3ZRsFQB5No/Ytb+gUlwr/ehCxCXiRGfAU1Nnohy9l3lnpTgLphb+IPZC+dE17bbkJ4skdI5Jo7JgyBjnGpuvbvNFx9s2uHgMrQAn2DvoshLCUEtGMYPoiaYfGIl/Ea3ks3L1H1119plD729aewy7BhcV3o8FxKVS7RQpOOAV1yX8IrnDTnxmZCxtjrcVUKRETASILW3bZUQpYFdpH5UCa8qmFPSgbxI8QtRkb2x59QIF3jWgF5lVHWZ7Klm5QiBLesVxefxcSjcImPKHVEmO/Slu0LCUNJuxXTaDYKdO3auZOn4s1EUfTfkVCPTiv/g6Vm8DnKzBtR+nXRdfxdgxlu+CtB7jF0CuwB6VTZad07q+luV6ffce54hpe3UkVHG7fdFvPNPpslNUDknUiGEtPsAiSotX2dw3/FZn72/iSRmheyCAZmUKaYmVzTF1CtXjCUqR6XU5NJ640IHZJkminJ+6Ue7HDgZcPu9Eh0JB1n7BVKtGOILKuPJknU0eemFu9W2+LwuoCx0uHAXgKYaJWF8PEDlk69pgvC67mvJQ+NhsAD2xO9KEMYQRiHtdvuzO3fuWlFXXX5Bf2V54VCg+ClMagdWSuN6H5nwqetFUOv+zE/OqLUFU36RVJV6L+zAKhWvJqsDvYCyLKh6GnD7UiWoJXRsr+XJJcE73z/NnQ+2rUcqbTsaMiSQgqaEWOI2uTJra7drd9cAXQ7JqQ8jKmrepZpomPaOW/VaeBe9WXtcCzLw5gCKSann/8zAxrmMODDc80jEytCrLXBhZjFFvKo4rAAk1lyd38yy5BXjetLLCRKvmab63fp4bqgN9/Eu/mLHB7z3a7XrWOkURzHz84s/8uhjTxwIwsAenFwaclHMeqamkYqrqLyaJmWLx+Y+U/spWrt6mBqb1/zk2rYYdWki19HcxQ4D696VH1i6Ulj3PI9y3v+Jaf72y21MQ4FQFp0iQEhZ67es+hu/Tse8zz41o7aOC//tyTTDJCDs83q3/WSHj3bzA41jbmN0VaMiJFIrchEghzlveumQJw6HvOs9AUmcedpTYHTIGNddVeTXc2tiG0wFSsegBpfd1KbEYhlsFoyMZXNrD1YLQnH+bXWqqK/weYEfUcqQ8mOatexewyRW/mgtAFsZi8ht03Ezth88z005vHFSP9b1eF0bVTJlchyyD3IzIVF858QwOYK3BvbC7xYO4J72rjG4zD0nxQd3jvRqTz5/b8yffKbNKHdT8EVhDbqspTA17b1uat4Hun/RTxyX+nFcn/2K3QwK73lNRhOzpoTWSC+zKT1nRShbmCVdcZbU5DogDjU/+ro+dz0c8fkHrV1YeONIgTYBY207ucoikknr0CG1lFJCoCikiQfyounB09zF7xSgFRKkMTWSMO54GR/EtcywKQ9hhTvhHV1jg2NjGCU5BoW2TccZQgiyPLdF7qJaMiZPzVrXpErzygk2r2nwIjW/nnNSANy3B31wi2pnL7VGh+u6Bz7J3jKvAswgZTCGX3/vNIdPxZig2i25pr0LiVQD9gSgWQfM5XES6x+0dUA+uYFAPaPpF1/5enxtbYqWruJQ+iyuELlGiACZaC7akfLvf3yVu34hpjdyX0bL8nPlBIyKDEtR3K0rkBsJaAdqQ+mwKBdQGonrSnJgdjUpVZLHyxkUv+OTnmPNeqLQlMVrk91iHj3Ujp9t3NFkeWa76jdu3IBUitGgx/LyCGMkuQ2Ry/+w/Pf8YHKC1dezB/1mAH9mdCVRvNG760oU7fngXl+iY/OSuWuuibc7r/O8gyAly+H3Ptrhwf0N63nLgrkr5yQUdVmiRJ21hQ/2CeZ2kRP+0M31+HoNk084J1UDBFUxk7HFTGuqDYVl8DLo1NKCPJdo4e65kypac/3lKW//3lV+68MzJLljcSijwhzFWBda3OXaPZCXEkV4WU5hN+g1PptLELpibummzBpTyZbJY2pKWSLKJBAeswvXZWYXF49KREEUNouZZpqZmTbT01NkeU5w7Y2vIY47nD7xKI/c/xk0DUReVbTVbEL8E2rqr6lPNl07KmDSQakDugK8mZAp9f0ZK/bOK13uJ3VqdxdYNnK+cHfM+z7aYXUYWg/Qed64Jl3rnFRZS7+UV9U+91r9XUq2WlgmytdiEtATrLMG7zWgG/wEUMXaxdbWptTjlVSxNmIuFdJoW6+SKaYamp9484D7H4+59WsKWpljavcJpSDTkhFFTFGB3GBLYyltS+t5u1jVlvUWEkYXcqOSL8XqbQBp6tZqOY3YuSAVgYpKMRRKoYgsC1x69Txaw2CYcvNNN/K8G69ltdsjCIOAIAhcPbgmK6pkdP3MTGaZ/GRPobuZ0NqTwK5Y3XiadkKWeJKkkinVDrsW4Hnd75bWCpTlvuo2sJQyQwYZ+48G/M+PTPHUYuSGL1rWto+yYm+v4bkG8vXkSU2aTExrWqtG6ipljbvgs3iVWCkbIVgvjT8xJKgoxDK63FRWFFJFGIQMkKlh74aMn31Lj6NnAw6eEpjAF1gCZEjuQM4EyIuIT5U6wfnd4FhclIFmYTGXLD4hXSxc/Dk5IPLJ+KZKxwt3FZSMPiGji4xvpkFIRRCFBGFIgNsbXhtBlhe2zddzT8za94ovxPqSxJcr1U4Avv9d38RIORlSMbmnu5V2ryeTORXQlcqRMiOKM86uCn79PVN8/EstTKiqdLyTJuuxt/IuwLXOST24nkzq1JJjtaVvDYnXJcrEe2trUnwdXgDaD0CLzh/pipqK5y74zDUZmlBaV2V1LPnF31ScWxEQ+3QrMAQlk1fyxF1oxaNjbSXBaC92K+pSRFVsVQaZ0rolxmtwMb4sKYA7ocUnydTv/vFxKFl7zqRBEQSNs1ke3CKCjSSpi+g9fVQNl/Q6bGQ9bS7XeV2+p6qNQ6X/c6Fr/07NIVGVNVjWnRQVgxOetyyCSZW557bWJEHzya82+cK9LVdrUliC0jF4wd7VrsH+vEGfTdaUxXpafHIZrRG2WA/Va+XK2tkhbqNT7YO8Yu6i08ffK7LcorscHiTRRrn37PMsCxBG8qrnjHj98wdEIoMsA13cUzA2QMsMjDSMtSDRkGpBZiArh/Rbxsy1sI/G34rQ7VbhmDV3WdnyUUOeF3NN3Ajv2r6d1b/nv2+3W/RGfhdS2vI4F+zYSCNSt7Qa8dkoUMjN2y7m3rtvP7ray/5H3NpGktjmYwFVUsHvhSx1L/jedJmYqAFbu41Kde2/rXXj1KSG9i4Q/z0P3MV20mV1YF5zTqSr886E5hO3NXnXe6c4uRBCpCxze4GlcOAus5YTFY21OKI2+0TUAFzlBUQN1D6Bl8/MuhifeFN4YBdrJEkJ+GIClpZeY4TE6KpGxab4beePzm2LWzpW7JrT/OKPd3nDSweEwoHbeEA3GUZrC3IDibEgzxyYMy3ITAX0vPbcB3uxe1wF1nwCwCWItbHgLRuvC0AXP6/f7bgNrzjL5Ozdsx0psv/xxS/ddvTqqy61e/SkaYoxgjzL3ZJBLaNmA4BJC1DXrMLyuZd2ryrFTF2irBdYiok90AuZoirXRHpSpAC39ALKwhIMw5wjC5L3fazNgUMxdFQJapvYsdq7kCZlnyWTHj3rd8x7wWYRjlXZvwnmrr2uXJT1kj2WtfVEwqdyUWSZ8aun76WwIJfClN64KJjd1RMIoe3UK2O98XRsuHxvyo++qce9j0YcnfeWqjLotDIkQzASNrjEjXAz2q9DqXR5WaNSVz02XS/tz4SpVsZSxsBEN369yrBwUEovHRvMShfkFudJ5zlJmpBmKeA2odq953KiuIGUOavLh51F5mtgj8koNOakOzLhmFAHehFcFnq8tre5tz10AWxRBpeayk0pCqc8WVK+Z9k7UDlLPcHv/PkUtz3YqKoEi4ylA7eSuB2K/THI1cWqPDCvZwuuB/xJC/ybvfnp51pVofHli4uPtAWUdrMBjfDA72U6pTBoYRDaHmctlH0tlL2MhCYfaF563Zh/8bYu/+W9MywPC2A7xGnhQB6QOePBBznaApkC8I4sis9Y7nlVlLi4C0K4i8Dv8DETx7gMPk0R34E/fqTImhdWSg4oGXDBBbt41jVX0x8Mi2sU5jZuYfeFl96aDBfe2W7Grn5jsjTV09qTTb++tedX/vmBoZduV3Jt4kYpa/dVbslEV86a6sDieVZL6Iyk4Q8+1uY9H+3QS0NbSFUwt3NN7Oy+yjmpFVVRMcRk9rLG1OuCuT7n+ptB+mR3fQnk4me+2+LZhZVk8S3Eycm0VqoU7W3FAE9tqj04OwH81Jt7/PSbejR1Zjt2TfGYenLFavKx0+Spu2dGkBYSxTgtXkoWT5tPyBGr0Z0m9+RITYP7EsVp9dyYUoP7cUCaGYIw5tSZhXdeccVlt+7YtrUC+MZN2/jsx35jkCWLR5oNUQ6ID73CJjkB4vI9QR34wge2H2Cu9bdlrbWsYmxfl8sC0Cp3MqZI5NSZW8oMQs0Th0L+8tYW3dRNxqQAdlAGmAInTcq7qWlv5QH66bKXpewQa9/H+2++GaRX7WoTlmERaPrau7wI6nu1l/p7TeePH3gqq8+1QhuF0YosVXQCww+8qs8Vl4yRua/HfbDnFcgNNuh04M5MoctdwLkm2GSNBteT+nwS6J7WLn/fC1RtkGpIc0OWGZLMYITi1NnFI//i3/yXwY6d2yuAA1x343dww01vZOeuvURBQhTa3RB8gD4dk/v1IlUDgsfOE4maksnFWjDXga3x3RPpZyknUvFBmPP44ZC3/8Ysjx6MMaGsZEnJ4NKzBU05yGdyp4b1rMH1ZEotsSPwXon/Nbli6k/rvvikXVhtwV3bxNXr2ywHBhlZ+uPGm4yltXLj3xS5CdCJ4tqLU979iytctXcMaV6BvLynDuymDDxHGhJtQZ5qQWpw4PYBX2frAsi+QzIJdB/w+USgmU8AP88hzaA/zLjiskv5sR96Mz/41jeUxzMonrSnZgnCFq1WRCPKEFJ5y2RxttbuPV7pcD/JM7HTrfS9b++5MKX+rid5dO25kjmi8L5VBWzpEjpBqOkZye9/rM1D+2Jy5bG2qOpNwLMFa6CuOyelRSrNhM6eGAtRA3vF6l+n/GRdeVLDuJfFLPs0a+/7zD5RM27s3G6tq9HXpshsChfCCuniJ2n1uDbkaAJhuP6KMf/sjX1+6bdCepmAEMoikqKZEgFakQtBUrSxaWs4F48G24xcJPSNm8tWJIGMRyCurMX53962g+74+IEl3qN/DA0wTCCImmzevJFub7AW4EoFqCB6qtlqHOp0GnuTJLHLWDEY0j9nNYB/HWCX79UTObVkT/GeY/TiudXxuQf43NWj5EiRo0SGEjlBmDPQ8L6Pt/nIF9qMCzBPMDdCIgtbUFbSZM0+Oz57TzK2qIBdT+bU7cE6sr+RPJlkbw8YJcG4mA+q/Utr3ngFeAtuiXSAF0YgXI2KMNKmwo2xz7ULOo0hzw2RMLzlFQP2HQt438c69FPsAdMOhcWjg3CuZRVIulS9rZGxQFaiqFWpQD2ZBPJrUyzQ611AJbiLIzkJbgNJZmg0OzRa7UONRvzUaJyWv1NKlPb0LpbPfOmWVrv9wenZWUKVEMjKuluvVkRNSBPpgbaqEZkIRGv/hl9HMuF7++D2CqukKNg7RwUZvQTe87dt/ut7pji/GJa13X6tib0Lj73NmmzlmpktfvkvE2D3X0+wdu1n4uuDu0C1X2hVvld7KRyj1wPMmj9eJH6oSxbfWanrclXbqtCOgFNsndP8yo+v8mNv7NGJM6sBTO7pcSdVTA5G2zENui5XSp/cSY3MOM+8lClugy1ftkzID228ZNHE+34zdq4Fw7Fm46ZNdDqdD/7lx79yyyUX7VjL4ABhGKCCxqdDxRvCUF2nE3u1I0uOcsvbWjvQf89PwRe/70uTstCq9L7rzC3FRIBZ2ILCK39VObJh+NtPt3jHH09xdsklc9awdz1jGQqvi0hM7LODB+hJ5vZ87lo63uPpb2Znum/E5rXMnCdVfMaqp+5tqtxOlRJ2G21RAVuYyhMXomBt3GMhVyyLowPSxLBtNudXfqLLYlfywU91oOGWjjVMbm8aSYqNCyLhFV25TGzB4Dj21s5OLPf7KRi+SNNDtbdPIV08uWKKakYjyI1BhSEa+VCz1fx0bka1Yyr9F3M7v4uThz5zZ5ol92lC17RhmaOQHFUTwDqMXpS0Cis3CgD77DzZGFwHtwOy8lh6HXBLmaNizVMnAz7wqTZn5qMK3GLiLiXCae7COQlcYmKyU8dvhC7BXCyNtRdU9RA+pr85VVKC+ev+3PO+/ZT0uh45VVaz7qr4gWcVcJape4/Fc89hyRLJto05b/uOAXt3JZA4Fi8yncYPQi2TF6l967C4lH55F47J7XNtJlP7Yl3bsOauFHcHbApixRCHivE4ue8Df/X5O//ZD73q6QEOIONLkPElJNkUSWoHrxcno5IpuiYz6lJF1y3BSc9b6PrvTXrdxe+UMsUHt+uKjzSHTgf8x3fP8KX7G7aBsuZ1+9639byLMRCBXKu11xvmU/sdb9zv01USFhqldmFM/r5Y3yUproranBQz+VhZhj6Qq+W6/jO/KMtgl3pTpPQLaVJKF5vez41N5Wut0CPBy28Y8WtvX+WiHYl1VowvV3IvrZ+XAXEB8pEWzi+fkCyenTjprqyxDX170HhjBanOR6gMWzY0eM41F3DDVbvWEEUw+cbW3a9FyiBZWPgo4+5+4tA2CtfcEgnCAXWy5tsPLGvOCesEmFJ7LopjcGHfq8BdSRUpM1SoOXo+4D/9/jQfubVFItxuVMLvr6zALbHsXdV5r7P9tjBrJAnrgJMJ4NYY/RsRt//D9epRTOUcrCkWL0poS0elXiduLxbjMohFZrNqhJDaglwLG3CKMhMqXVa0imILyZJpQyPIeOsrB+Qa/sPvTXPsvHNWoCqnXiNZ3MXkgseit1NTOStFV1DZiS9NWUUosSuSdFJEYFvgJqsHwRX9Cbji4q382A++KkmznP/6778BwBvNTTRa7V+YnttzZW/lxEu17hG44Zeq0NZyEsjrW4JCaGe36ZoWr9uDDtTCOBAX5bDWGqyl4YOcY/Mhv/S703z08y0S6bZeE+vd/YylN7xeUNWcTEoTKrCXlYKTYBeV372ufPlmAst1bpO49uvC16btC8Y3pYQRE+xdvCc8LV7YhxXIZbldmaAY86DKhuIsgzDI+YHXDAkU/PLvznDsfISbw1y/CLWxwtllizWCBMvAoRSEte/ixrphpaJx9TTF9620eAV02xnkAG5c/bnWzG5oc9UVF315755dv9Dt9dYc1zUSpdnucPDxW7tx3DwQBEEuPJ0thJ+ImZAhHlj931FSl8BWakuyrwAAKEZJREFUpc72HqUvRyodLmoyJUOqnNNLil/5vWk+eus64F5jC9qDFsp6l8567F2A2d83qGCKSS1eAHoywCzOdg30/wvongwwJ33x6k3hdGglUwq5o6kP0a8qDqtt+so5h4U211UCyJQViKpMBmWZJMjhLa8c8v99+yrb5tJKonhZzuru63IrWRLnsJQui+emFM8r2VL9vMxalp+3LlsMgiAI81azdeCv/uaW7vTU1DcGeHFLk+7bm63GI2GAV5I6UVMyYQsWwBaikhv17KSpgsYyeKxkSRlklsxdDOvR5KHgjz/R4SOfa5EoH9DBxKMHbrE2Yzmpu+u6ugLoeuMhfP97PX1dZjKF+F/F9xp/t57Uqfveflq/tARZy+D1Etuq88dqcT+zWc945kaV9ePaKHQuCXLDW18z4Cfe0CfI88o+XBfkuUu1ViAfaxeAmiLz6deS1y1E7Wc1XSDq16FnGrLcft5mq/XI8kr37U93bNcF+KVXv5pQjfKNWy4ycWQIixnbxVDLsiZ7MtW+tmZF1CoB60CvVwVOdMEXd6UhENxyZ5MP3dJiLJWjWh/QHntTSZNqXx0P0PhALzq6Xe37BGj9hE9Byr7W9gFd/MKaMtlvBtzeL9Zkisfqa1wTCl+ciQvATb/yge01R9SCz/KxKsYqAk7L4B6b55JYG77/1QNe+fwhIteVN+4VZVVOS+aB3dZ3p84zHxtB6ti7SO/79SxZwe5eyr+4p1qQ5jbmzY3kyssvNt1Bln/f975m3eMbPN2B37HnxeT58EPZ4LHLsvGpdjUs02k2T7NCFWAyEWhKX4eXgampyxRRJXWE8JyTQCMC+Ls7GvzC787wxOHYNQyvA2w/sBRFtnIysKwncurjIAyTGcwCxLXyzQndUkvdT4D6G4J7Io25Vp54Hjh+YDnhiRcd7LUGZVN71DU9DmjngWN3FRYUAae0waYwaK1s4CtAGIPJ4Zq9Kf/Xv17l3yr41B0tq8eLqZxW+Nt7+Vy5A2Q3T0lxVh92V+SAYiQzLkCuzheialB2YYEd+SwEmYRdOzb1X/vKmz7UaTf4+ac5xk8rUdrTF5jxygO/M7f50oVGOCYO7VbX5b43kwVRhSOy7j1fo7knwS1EXoJbCSuHRAB/e3uTX/of0zxxxIF7jdddlyZCuqASb2eGQn8zCeqvIzfWc1VYe1+XrSfYeH10f533zcRLp7P915N6vZayhzXau/TFfT3ua28nXWr2YfHzosxWK3QiufLClHf+3Crf9eKBpVWt15EoTydbbJlrYnzJ4gq1tK/NXbmt+3mh4UdaMsgFq2PDs551+cKtX3n8dy7du/NpD/XTMjjA1MZrydMlst6X0VmvOiCOXXx/vGDzir2r4LJwSYTXwCA8jS5EpcmVqzkhgL+9o8m/+71pHjv0dOCWFZM7pg1LabJ2eE/RhVMboPmNwO5jdsJCXKd40EP7N6/DJ0p9Krb2fl7VpVhWLzOFNTY3laMi1mNzq1uF67z3XRaMtMzu6lS0s2eEcNGrVyVDAtdclPJf//kqxsAnJ5l83ZvG/yU7ocul2wWE7l8vnJViuEPxJ4skT+4SSXMzUzz32ZexbdP01z22XxfgKt49Ri/9s6nZbX817j7SzvLIXcmyzCZV59OsD/DC7y5f1wNR4fvcIkdIq7k/dWeDX/7daR4/Eq0PbibYW07WmhQNDF7mlTp7r5EktYBxAsyTYKfe+FBcAfWX3xjixeyZNfKECrgUJ7q0Dn354Wv0ylGpWN6UssTahB7YC9uwcFecsV1+B2kbC+zUVkWuC58ISAz/v/a+PM6O4r7zW1Xd7715by7NaGYkjdDoHIGEFHELA1oOQYKxOfLBdiCszcZx2AUTn2zCJlkTNixgdgN2Evg4Xh/gZbPEQIjBy2XW5jBgZEDI4pBAgO57RnO996aPqv2jqrqquntGoxvw1ufz5vXrru55x7d+/f3di2aFuPXaQXABPPp8g7GLZz9l6oCsUy44QUwsZZkAHuRnpNZ3ITSwBcEoB3gYoXdW5wgI+ffHzJ46ut8Ap2IbZ+XeFR77xCANX63URwGERYBIU1UCbis+JZHWieTWKWgWwBNaYgDOSAzCOAQjeOzFEq77VjPefG88F7wLbkqMQ8c2B2bjvF3pnevogQY7SYGdOFJef/oE8GPxltS+FAuxDpBEXKdDaV2l0wK3vRi4dQmVx0lggO7YyHWNQ8XFpSGaKvosDdFEt29QnJxCshHogNggwsKZIW7700EIQfDkCyXEGr/Jm+cqVJmZN0ooEmO6kDmkAYAYSBxC8gzzJUQK3FEUoUQDXHvZssGTFves2LBtN8c4g4570J8O4k3eRVC/tNC8NGS0nvmx7NxMHVdCHDu3ec2IxcUtJw5Tklswgv/76yK++rfNeHO9BrfqTEDSyqXmHCZDx47zdntaZgGcOHaQleQuyLP7ks+emmfv39chUo9kv7Uz4+CEZfNOYsTd+oVJCpxtUeE2D89aV5wECe4+C5UJJHQsS0CwoCfE7V8ZwJkn1cF4bDg5ty0p4/ByLj9cbFlVJB0hzvcDAKjXccnZi8L6aP3SaR2tu3p7Osf9XscFOKEl8NE3QIsLN5PiKe8KMhlxBBkHnAS8WNw77ejR0prkKZwmoIoyDuERPPlSEdfe1oK16wtIykyRMZRKaLDDpSZIZ+fY3ss86T0WZcmWXcsFtA389AowU/YK7jz3feKxRJpva3u4bSOHATYswHKjfCagh21GhJP9I+yYFaerBHMUzyTkNqYQAUHvjBB///UBnHNyHcyxk+vYFdusmLWXJwqoMEFaNkiLVMATHJM7W3H2aYvfXbpk7uYVv1mHUqm4/wCXw8Oe7U+vHw3IF0J2KkZqHsLIS4E85XrPeCrdOG5CpcWEEQ5WEOAewVMrivjyf2/B2o0FiFzOnZLi1AU3I/n1vPeadmZlKaUxmqtspiS5C17hzJPHx4a3yGyol5YYtymI+Q/CAJ+naAosqW0tjHThTgNy6khz24oiEu+mBjtL9hvAS6eQGCXoPSrEHV8dwFkn10FjrgK0xpHm3PV8as6lHTxa/fCpLI7QTENcsmwBeEy+cO9Pfr3e88bVahV69zJYaT6CYAS+X95aHW16NuDvnsGCPhQLqhB0KnhKm/5MYFZsYk0UFUksKEWBDbs9vLCygBu+04S16wsQhXFs3FpqUxNIlVATIJOdMyZNgY75FjmAdxdBgmLLm5kU1bTpirU4lGtgDHf+2GBPJLm6kLD4eGIST3FwqaASa45IcXEkSqYEtTAufKq5u1YwpZnVhAAQxdWp4t4chBmrC+QuAEp4hBxH94T49lcH8I1/5PjVq0Vs2A2gYH1KwZysIPPpbbBSxESCvEDlzdxHhBnTmnD+afOfveTjH9s6PFJDU2N5rwCfgAQHCoUKdm5+8R3mt3y7Mul3EEbCGN7TCQq2yU9LbpuSkEjSmKLA2i0+bryzCX96WwvWbNgLuG2zoFLoWAJsYZV8cMse28FVGpQTsZ5kpH1unAlxrCwZsZ7enwfstLPH+sntZ6T3OzEnKa8nANjcWvf2gVkMtgtf28SFsKgJT1XIsmJVdJwKH0OSz58R4u+uG8BfXTOIed0hMGpJci2xE+kdWfujhK5wIZVOWWVNQMQRzly6AB1tTd/+Pz976Z2JgBuYgATXo9zcA7/QsoJHQw+JcNPFfPQNK95E0w+be2vnjWVNoep1EXhni4cb72rCA082oB5ToLg3cNt1BeV6d9psk5xoQWStJGPtc8NfDVCT3Tk+eENdCPYqovdhZECd8UwiyQO3ga3djjLwSoWgJpJd74cVeQjL0mI8nhQmiVml4qhzJPATG54dJqttGQSgEUdXW4wrLqihWAD++h+asG6L+sEI9JvQ715eRKhOxFRIWHKCkEhHTxBGOH3JXJxywvyHlhw7Z8WuvsEJf5cTkuAA0Ng8DXG4a3371NO+1FBuftj3S0lLbI/J3u/6obNu7DjuBNw+sG6zjxvuasYDPyujjn0HtzYJSoXSii2hFh1Bim7oZwqHV6f5t+7hmJdgnOHkaYpCLMDvD5Ktc9MJD/Z014riKpXJvpz4k6SWYSo5QkYhWhIdOj4lmyQhnDxOmi/JOUVcJyhyjkvPqeIbVw9idncog1HyLCm2NI/DJO+Tc4FqLFAql9HW3vrwhb97ypc2b+tfP6tn6sEHOACUm3pQ7f/FhpbOpasrzV3wWA0eC+XDUy36dF1uYj3rtLQSwfs7fXzjribc/6QCtzcWuKl5UINKSuC22IYrve0cy8TCkwKn6mqUzEPmeBbcGVpiQzJNtvdRmmvu7fDw1LNdActOPraPZ6rTCvd6roXFAnWqUq125BnLi53mRi06YwHeBrk2I0YEDRD49PIabrh6ED1doYy2ShRPO5lZJTTzEIgDIB4FeIioHmDWjCk4f/kJq//ppys2HD1v+t6/UGtMmKLoUSx3w2uYfasYXTVbsI2fYdgKj0lpbVtydb6c1ugCQfHKawXcdX8ZP/5ZGQFU5m8G3DQLbgs1DDrOJFtTMF3TO5OKBgPiTNy3vW2B3JHIKemdVjRtjO/rSIDo0A9tMbHATSwToubhRDj8WqgJSf94wBS2VKDngoAlziKdvAxZWNOqsSIgG89SyAZPgth3C5XtD6quI8DBjOJJgTiKUWQcn1leAzhw5/0VvPpWQTWmtT9wbH5nQiXQoxDTpnRi0YIZ911w1pJbV761aZ+/132S4ABQKPeivvO+Aa+08I8ow3MD9Qi7RiLsGObYNSIQgMMrcBCmXLweQU1Q/PCRMi7+eivu+1kZAckDt5bS1n5qmwfdxGHdVYCl3PI2laDaCWWHwiKngL8GJnGtI2M6f1JKZB6gnWTkiaA7NTlbs1C/dnM3zQnEuQPYEj25ji3hM5TEdghRV5IrKZ6W5GnakiipjiRniGMCn0uQ/+S/9eNzF1RRodx1CEUxGmiIrqZRTG2qYkrjMKa3VNHWFD+3ZPG8P7rpu48PnHLsjH0G+D5LcAAod/4hXlv9bJXHVwfX3fp9bNq6CyAU5QLHxctq+NTyOnpnRKAMGA6Au/+1jL/8TiP2DHm6mn4OuHNoSgrcNjXxbNMfXFrixJw4ZsGUdcQGb4qK2CA2UtuONXHZtm4+lUX6GJjWyt/eQG5RIyHUHdFx+AhkrCgkJ06F6DQ2F+RCSJwRKhI+Lj33Utwbk6C0PVLI7sqg1CkjQdQzowAIBxdSkgvIfTyO4VGBjpYYN18zBOYJ3PNQGSMBAWXAvBkRPrW8hovOqKNSFIhjDuJNhd9+UQAMVT//ifP3B6r7B3AAaJ+8GDHnLy1ceO6pL7z284aReg3gEV55o4jHXqrhli8OoWMyx0+fLuLm7zVizxCzpPYEwE0MuBOl0pLYOuHUTmRwTYAiRwJb3DsN8nGec7k4MaAfD89kzCMpMCMNUmu/fp06liwCK3pQLwTZasR4N4nQnc6ylhVBtAVFGUiErjNOQTmX16FGyiPh98omDgpigZ0BAJUgp0JWhaUUAI/BI4G2phj/5aphlDyBR58uon0yxy3XDuH0JaPgIYWIGbhohNdydo20LHhpP4jGgQN8+pQW9A9W/+LLV54vXl67/SvPv7C6xH0KBBzPryjiwadk674fPlLCcI1aBbftmBIyDrjlr0iRH9tNU04cp3CPZVHJhMJa2zbu0vTE4DrHZZ/+MnKVzIkzcQFDRzOnJea/NLA1kO3TTJitEKlz06DmkAV6tKOHAlRYXJ7A4tySs8tJHBSqszIIqKAQKsVeqFJuMddZUlzSFwDgRN64hQR5e1OMG64aQU83RxwDp58QgNcJgnoBQcggisfVGxs+fQeJG/6SeY37DfD9XxoAJjWX+Z33P3/D0bOnffPY+bMCcA/gwKnHjeLCs2o4ZVGA5gISW6qRynsBtnpoya2DqNwwWAPmbJMoN7cyY/dO0ZI8Tu16MdVmWgElmSnytcC+jxxgJyGwKbzbrvhEmqY4ttmfSnJAmqLYQVrUjWNJigVZlpZ0DyBugrO0nTwJxLLqk9tWGq0oDAXAS6t8/OTnRTy/sgBKieTsdH4Ar+eb1d1P3MC8Ro4DGPstwfWIgiiYP7P7lp07B4J6/b0bL1raR//gnDqOXxBgT5Xi0V+W8OMnfIRIRwWOYxYkJAGnpx46rjuTbgYXuHb7kTwl0Q5pHZOWpBdAZhHkEA+SBfqEhLglta0QFHeKLb1zKEoimfXKEgRccBBiSk8k3NsGORHOopAuflVNi8vv0iwmbZGhoIInkl1KboCrmg4UstsypTq0Fo4zSE6LEHLgFy8W8dPnShioerj2Nh+XnjmIy85t4B2d028MyMy/FdGO4EDxeUASHABuv+4StBa31pYvPeqhm7+4UFx/eQ1L5gBRjaG1kWPOUREKumMoUereeOBWv7YNbkaE1QVNOJJZS3Ptpk+2kbWc5D7gvgbMfkO05TZJLYwMiEnu5j4P27njZtubLKqk6I89XxgK4jSycqQ03P2WFOewSsAh57hjK7cjDW2Jv3dJDsj0s3UbPQwMeUDRwytrm3HTPV14ddO5wqvMf2ik3lebNOPzBwrPA5fgAHDmiTOxbXDa2wunFa4uxvFdg4NP0VJhBB7nSQyERM0YHkpQB2HMspg47ncI1w2fAm6maCZytuFKWrmPOK/hHMvy8vSrjPEkWQjW8bRiaEntZIMgI9H1c1qK29yaKItHYj0htsLqVsVy7eYyi0Zn+1AKcFViinKoYCxdXIiYLBuiY1e4MqTIbUCAY2xJTqgMtpJzuXJxyO53tNyIiz++lJPSvKuLk9rfHtk9dDCgeeASHADmzT0Fx88ZDCZ1Lf9exEtfgzcNUaSytQlcWkLzwG0kdxLbjWz97tziPUhFC2JspTKPgjiAtGnGGMdsQGeCrDLbEx9ivP2OFM9x4efaynVpCcf9lpHM2iuaXMdx72e9nU6AlmUn15zcjS+nKUmuPJwqU0jo7smcYt6MLpQqpa9dfN5p33v2lUJw9LyTDwY0D44EB4BKy0KEtQ1xpfPfrgsGZwxh+O6mPX2bsH6Lh9Duk2N3PLPs3EAa3OnGrClpnVYqx6QfOeloGoo5imYmJNZ6yOOu1M5jKvs88iS6tV8nIcvXRkobCY6EmyeXUqjmBGBCA932XAoTUqv4dJKvCXktbktyZVUBYOzlAKg2J4Ir3i5jcDmR5eG055XqGoYEILGA53HM6I5QaQ5QaZ6Cqy47c+iy3zth3ZvvbY+XnTDnYMHy4EhwPQhrBBF7Hi60nHlNQ9fv972+oQsvvuwj5D7g+QC1HqqGHZQU9lLgpg6fFpksnbwUtNyW2znKogtskpHIGcGcltj2vDR92Q/E25JYviYZqaznmdepTB8trZ14FBgJblMUZCW1kcKmuD4s7s5TaW6G47uWGG5Jeq6rZHGGOFY9gWKGKPLB4OHkRTWceVIZ/+Hy8/ouP//Ea3b2Dz08qanhYELy4ElwAPAKbeqH2vEj+Bd6pTZ2a2Pr0x3oDwBSAJgPXRRTY0DWKzHPjjPHoiJKPc244+3agvqa5rg7N2M9yePbakIe/0b6dQ7QM7geB+iJ9M0cSJ2Xw88Ta0rKTq7jV9w4cdUyRP4ZQ4rLu5aOv+aCJHcCeeMQln0c2jZj2vNwKuORBFQhIRm7Ii05BIRKnq4VzSCIManchmuu+OTOBcec/WfD1eBHi3v3LZBqQpg86FcEQEgn1m0c+EHXtAvpohNGb16z5dcdVcLAKDOhrcjny+lgKTLWNnJc8o50dkNmARfYeoml+bmmJw44U9yGwMxx8Hkw+EoKxPoWn6YuCqtGoQRM7BIkIPUl0somAUm8l7aJkKvmBlryc0IS549WQnXwFkCSuiX6vekGtIDxqkK/Fw4QohrUMinlW9tO33n+Mb93PVD9ASGTDwUUxy/VciDj27ffgtJRp75aLpV2VuvRsl39gw2NPkGJERSp1R8eAFFlHzS480JgE9pCkfVgpheAM8dE26aLAFE79tuaQwhxKs1S57UqJWGfm2yrOiOw55ht+3mshQnrc9gOpfGetVPMzB+n3EWOuTN5XzDXgP1/YF9bOOfKbUMZ5dpws/yTGPEkCAvwSrP7WGn2dVF1zQ8KjacdKhgeOoADwHOP/RMWnXHJqsltlY2TCuS8/p39xZJH4FGRgMuhDbBMgNS1nMiCnTZQc9qPJKHj49wFqAVaB+w5wE/254CaEgMOShyQU2qDeS8At4CS52HNi4sxx0jqOHHpFSzgQgVQJcfsbf0edA8mLXnNb2OAT+CGNbj14WHpNJKTy25skeLgUSzglXqHCuWZ1wgh7m3u/pP98ftOeBwSimKPrgbwSlvjfW3+1KhSwN2vv/l+CdRHyAUCTkzfFQvkCeATcBq6YWzgY9i98x55c0jeP4SxiY9DM1wenppIxj6UN+xfdyxObmSmsC4sXApj0RbHKpNQFqunvaIoiQJKtNPI2NKVaR2A1QYTxARjgSQcW/9zQbTqq/+3VDbjmCGKKcJQoLF1fp0Vu/84Eq0P8NH6AbnhJzIOqhUlb9z49c+gWq/H3dO7HjhmdtcVJy7qqXuI4FPdVcCytVo/ciLRYVEHmNuk49yBq3RmbvmwpJB1K3UWACxsOouFOHPTJm8Xj6nSbRMcY9rAc2zd9glOUFUyx/VgZv6HnRSRXMMqMyFca0jG2pLMt/fpL9Tq+qGSXiCAKKaojxJ4Db11WphxRbmp84EwrMdT5115yHCnxyEHOAD89df+APWBvviCs058sHf21M8ed+xRVQiOIBaoxQQ1VW00tlzRdoNZ48zJr3mSq7Tq6yArvRPlUk3ILAD7zVsLIo+fwjp3v/09wtIrLcAqBuBOHdN8SFJmQTuwyjbp2UA2bzTj3oftAMp2iEjmWOdr4UOJ6WtKKJetUMpzq4Xy9M+2dH3swb6+Wjx9/pWHA3qHloPb46nHHsDcRafh2RUb3liyYPp71QjL120bLFVDjhgEsVJ+PCLrYCThsTruW9X7dmgKdUGelwDhzKE2n85y88wxa599jNr8mxDr3Dy+nc/B9/pAVvHM88LmXk/h1ubgdthA2vZvH4c6bg9zx9PXEGqeG+gmO3/I1o+eF8FngdxXnD3glWZf5Yer7xupE8xdfMXhgt3hA7gE+YO4/IrPoU/4q6d1tW6ZeVTbsl07dpWHBoaVjZygQIkMrFIPj5imrVkriEVTbGk+zlxbyXOVTq0guq9tRdIsmCzYYYGZ7gfAkbor5QM3BUwbzGqD6vdiAzOzKHIWgaWDJMC2t9PnJPtNYzGm6sb7foSCX0WpoQnltlN2N7d2frljSu3e/sFpmLv43x1OyB16JTM9/ub6zwEANm3ru6dY9L3vznjylr+7+6mOrQMBOC053ekojFmQUeGAN2PCSlWuspVIh67APe7wboubAynwpCiIBob9OqMp78sQ+ecl9m11TFOBpJQyyT+uFUdCrApYAJIaKIQk55la5CbkVrlqkhN1oScSE6lxKh8+FbI/PVNkV1YVDlAoNqHYftFOUr7ozyGCe4g/fpHMQzUOO8D1mD6lDf0DQ9+/+vLzCGGFm+/44VMdO/YEAPNMQrEOkaX5tQaT2zjSUkU9w5qjb72pxWEkG0nOsUFtwC4yc5xhc/X0obz9KUATjIlx10qiJrv+IGXRSB1LlHZ1HBq0xOXyRF0jWQw2uNWzjhUnRJaG0/lpXDtv1DkEo/CKTWCtl+6kjZ+8HhDfJ/TIgBs4ggAHgEktTdg9MPK9Ky85Iyr4/u0/uP/FSdt29IERLnk41bxu7CwcrdjY9nSzH2PuJylA2lQhPbTEJPaKco7b/PUAvhDtmbSeneslEtdaZKlALTv4CsT2YEpRL+8IakLyv7RrXd+VhBXFSJJzhLpLGosllcUeiACNYwhKQfwZKLWd288al18Xc3K35zXt7VMf0nFEAQ4A7S0V1EeDH/3hBUv71m3om4Mw+OYjT/zKJyDwGEkSHVxngv6C00BHRvqmAZ1nts4RxsYebu1DzusDwrPY24JwJXNyjnqdDqjSdyJNQSBMiQwzz4oH159Ax6okkl5t64qdMMFchBBwSN6ts4UQxSAQaO1cFno++4+s8Zx1lFZ+SlkBR3occYADQKlY4M+uWPPwn/3x7xZWrHy72lyidz79y5UkDGrUZyQBuAa2iW82I89RBNgAcpU2pJ5zaLYZOXeCDL8YYxyQRLc+m0NRkE9nhAN0OCG0EPpOoxw8tkMHSOJaSO51bXu3omlcgFMOzgVYqZE3dS4Rxeajv9g86Zgf1qtbgnLrsQf+wQ/C+EAAHADOOGk+frnizWDezK4fhUHwiyiofmrT5u1/s2HjFng+BSV2wcikL9K4I8/ikOHr6m8iJVNKZdoFbs5JcYMDBPKELqGBqa3Pin5IkBq10C7GSUTqmKItdgbQeP/YSXzQzh/1ZgiJ0dLajYaWzv9cbp7zY7/UvXF4aHvQ3P7BADfwAQI4AJx20jEAULvjO/evPeH4hbd0tJULUzsa/+KddetZfTQAoVQ2QlK+fSmZkl9RU0YAaZNYvvS257gSOqdURAaBKU02NfSi2NvISN3kgCuxc89V/9qqB+TQFJ10rOdCAZUQYVz6MIsh+b6IrdeY3j4xJ7LDMBdgXhGT2ufGlZaOm6ZMnXbL7r5d8eTucw4tQPZjHFY7+ETHY4/8M85e/nHxlasv+8W/PHBvkVJy8uDAgBeGAaJY1uOIOZxOBQRWGK36kXTwVTqwyublGXv3WK+V/XtvUYVuZOF4zzm6Qc4dRw9HvyXuZ8i7jqNAw5xkrkNS34HpkGe6VMvjGtxBQBBGBXjFSeiZc8ro/EUX3tY9c+lfXfnZC0Xv4k8dadjkjoPAEA/d6N8zCM5jEEJuXrP23VP/5/9+hO4ZrJ367sY+L+Ke6kpgeTqpcJxEskocSapg5QNCLQ4H+MRZJAbYJGdR2HNTAKeu04cS4xhKhxpkPa428Oz3AuVYkdvMKZNhbatYH/m57PgcYfwK6sGYUNYqDo9Jh4123oDIdjvVGgEnXVGM8gsLlnycd06Z+YIQ4npKGUoNR9ZSMt74QAPcHvf8r39Fqeg17e4f/scVq9Z/euWa7XRouIZSgcJXJkWPCfiqQhzTz5RkzYwkJcUAt264AqUJz9XhsyTHI5r2au4nwIl5D24sugvcBPwJsIU1Pwv25LPBdqurcxSoGRMJsH3G4TEOz+OqQ0cI6pUR01mcleb9M/Ob/0TwcOjY4y840pCY0PjQABwAVr/5LpoaS5PfeHvLlx54/NVjt+/cc/Erq9ahuYGiUqLwGeBrkDPA0+B2JCIwpisbNugstz21Y73TMSvGPU4JkKYodmx4HsCz4QLZZ5JO9KCpfVS4oFYgdhxVKQmupbenJLjHOHxPP2IU/FH4rI7G1l74xUkPlVpPX+039HxLxNVdLe2zjzQUJjw+VADXY9VbG9DeWul5+qW1d7zw8tsX/2rFagwPDqBSYmgoUhQ8AU8DnLmS2OawWdc7UmC0AG5J77wALO221/OQHCeG5qQATiky0pzQbJx7EkhmdbCgFLkAN1QrZWJyFrCcZ4Pb8zgKHofvhfDZKCqNFbR3LUSldeFDDS2LvxyHg+tLjbOO9E+/z+NDCXAAeH/zbhQK/txXfvPu4urwyJdeevWtZStfewvVkUFUSh58D9JRxFxF0x7GW4dEMbMpCKNGktsSndCUIgkX4MRZCMS5C+jjjLoAHhPgUPtSXFxy6DTY7XgcN/FAf1R5PcPDPU/AZxy+z8HoKJqbKuiY0ouW9mOeKZRK3yo3z1slePSOV+w60j/5fo0PlJlwX8bM7nYAeEcI8Q6A1UEQTl128vzvvLrqrbm/emkVA0JQQsEoNSXJFQiTFnyW08hOIgBgkm+TezzUIjDhp4dSOiTviej3aWze8jMo854OcoLh3yB2qWSS+A6EDjcQUukGAETyyr7P0NV9StwxZf47Hq1d1Tbt32wFsDa35vmHaHy43701tu/YjTiOe956e0N3seDd/+jjTzdv2ry5Uq2OoOBRVfRR/sCcAzEX0tQooNzhLnVIrC/UluR2OK1tdlOGuLTy6khv4lw3l6KoX8TWB/R109RES3BGBRiTxxg1yieAxEETx0DMTQNYAn1OjEqljI7OqSO9C08fBA8vbZ7Us5lQtr5caTvSP+lBGR9aCZ4eXZ3t4IKvnzqlY+OegaGFjGKpEPy7b765Nlr79jtte/b0N8VRjJjzxHsnBMBjYXnmAFDidLjLKmkGuHK/kRHCojvQ1wRxHCnJIKmp6kUCTv0nkeCq3ojVucG+lDYNaqqi/7uIpeQOI4EoAkAoKGVobG4bOqpndl/39Dkeo/QLbZNnvlgoNg0AghNyWBK9Dsv46HwSAFQWFeLDw8P9PTOmPd7a0tz7P+6+b87nr7z8pjNOO/n16d1dK7s6JtVbWyoQMUcYcQSRQBAJxLGU7JzrwjgGQa6yl5c9774PhwIppNrXAywJTVy+bS6i7i7cCk8QcNPFrAAczesZlSY/3+PwmOxyJwQHYWVQv6Xe1Ny5ck7vCa+fcfalN7384r/MKTU09za3Tnu8OlLtJ4R8pMCtv+eP9Hj//Q3wPI8898vnUSoVWFNj5c6BwWrv6jffPX3Nuq2sf6CGOI4RxyGKBYaiT+F7kpb4HgFjRFlj1MMBteEC6TxJbUXRCipT16CK8kiK4Nq89cjLu9QLTJ6rrERMK4lCKdUcHovBSIRC0QOjBJGogBa648bWmc+BltbWa9WrIcL4d45bijiOxJSpRx3pn+iQjo88wNOjv38PGkrFSdu27/qv997/RGHl6+vjlqaG4ynhJ+zYsQv1+giKHkFDyYPvURQ8Ct+nEujM8OhEYeWyrbmU/CIBpXEWKVAze7EYR1Qa4Im05kaCy+sp7s1ka1FfgdujHAWfg5EIvs/R3NiAppY2eB5eJmLklUJ5DuvpPTcoN7b/pygK+hsbW470T3BYx28dwNPjwYd/DkKwrFYLzhseGbm0Xq/OH63VsWbt2yCIwaMAQAzfoygWfRR85gCcc4Eo5ohjgTgW4DqeWtu9E1BTeIzC004oTyV0aDOmej9cAFFsHrHuOZmYFjkoieF7AqUiQ6VcQLnE0H3UbDQ0lFAul9aUSuX7KSs8IYBnZs4780h/xUd0fGSUzP0dv//JswDgmR27+p4B8GwURnN27urjW7dt5d1TJ8+a0jX5zzdt2oRS0Uff7p0YGhpI7NuMeuAqViOOOYKQy05lhMiEAOV1SYpkyowB47BRUtxj2vIhEotHHANBKBBFAlEUgRBJmdraWjF1SicoiTBlajdqI7tvCet97805+mO0samVesxfB+DxhsqkI/3VfiDGbz3A9eic3AYAj+vXO3buRLFYbN2yZesLvsdQKHjhsQuP/ooQ4lxGAcFjvPHGaxgZGcZITSASIZgQCOoBRoPA4vEUwjeF4AEp2TkBoNvrCSG9r34BIAXUAyDiBNUgQlNLI447bgk85sH3CCilT8Zh/XZCY3/W7KPRPnnKM2EY7GlrOzTFKz/s4/8DfIzR2dEBAHsA/AQAtm/fBgBvxTHvogQ8ikJs3LgOcTSKMJZ25SiuhSeeeNINIyPDn2AkCgEC3yfwPQpGCTyPwGdEApUBBU+g4AtwLtDcyPxKY+WRVa/95oZCoegz1bqoXK7gmGMWwPd8MEYopWw7gPe6uj6cnsXDPX7rOfjBHI88+ixASNeOHdtbKAIhBEHBp/A86ejxPJVnqpRV3xMo+gJhJNDa7JGOjo4BAWyfPuvQVVv9bRv/DzAqWe57ZF+aAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE3OjM4OjU2KzAwOjAwApnfHAAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxNzozODo1NiswMDowMHPEZ6AAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 1}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 15454266
    {'hecke_orbit_code': 4398063289760, 'n': 1, 'trace_an': 8}
  • id: 15454267
    {'hecke_orbit_code': 4398063289760, 'n': 2, 'trace_an': 0}
  • id: 15454268
    {'hecke_orbit_code': 4398063289760, 'n': 3, 'trace_an': 0}
  • id: 15454269
    {'hecke_orbit_code': 4398063289760, 'n': 4, 'trace_an': 0}
  • id: 15454270
    {'hecke_orbit_code': 4398063289760, 'n': 5, 'trace_an': 0}
  • id: 15454271
    {'hecke_orbit_code': 4398063289760, 'n': 6, 'trace_an': 0}
  • id: 15454272
    {'hecke_orbit_code': 4398063289760, 'n': 7, 'trace_an': 0}
  • id: 15454273
    {'hecke_orbit_code': 4398063289760, 'n': 8, 'trace_an': 0}
  • id: 15454274
    {'hecke_orbit_code': 4398063289760, 'n': 9, 'trace_an': 0}
  • id: 15454275
    {'hecke_orbit_code': 4398063289760, 'n': 10, 'trace_an': 8}
  • id: 15454276
    {'hecke_orbit_code': 4398063289760, 'n': 11, 'trace_an': 0}
  • id: 15454277
    {'hecke_orbit_code': 4398063289760, 'n': 12, 'trace_an': 0}
  • id: 15454278
    {'hecke_orbit_code': 4398063289760, 'n': 13, 'trace_an': 0}
  • id: 15454279
    {'hecke_orbit_code': 4398063289760, 'n': 14, 'trace_an': 0}
  • id: 15454280
    {'hecke_orbit_code': 4398063289760, 'n': 15, 'trace_an': 0}
  • id: 15454281
    {'hecke_orbit_code': 4398063289760, 'n': 16, 'trace_an': 0}
  • id: 15454282
    {'hecke_orbit_code': 4398063289760, 'n': 17, 'trace_an': 0}
  • id: 15454283
    {'hecke_orbit_code': 4398063289760, 'n': 18, 'trace_an': 0}
  • id: 15454284
    {'hecke_orbit_code': 4398063289760, 'n': 19, 'trace_an': 0}
  • id: 15454285
    {'hecke_orbit_code': 4398063289760, 'n': 20, 'trace_an': 0}
  • id: 15454286
    {'hecke_orbit_code': 4398063289760, 'n': 21, 'trace_an': 0}
  • id: 15454287
    {'hecke_orbit_code': 4398063289760, 'n': 22, 'trace_an': 0}
  • id: 15454288
    {'hecke_orbit_code': 4398063289760, 'n': 23, 'trace_an': 0}
  • id: 15454289
    {'hecke_orbit_code': 4398063289760, 'n': 24, 'trace_an': 0}
  • id: 15454290
    {'hecke_orbit_code': 4398063289760, 'n': 25, 'trace_an': 0}
  • id: 15454291
    {'hecke_orbit_code': 4398063289760, 'n': 26, 'trace_an': 0}
  • id: 15454292
    {'hecke_orbit_code': 4398063289760, 'n': 27, 'trace_an': 0}
  • id: 15454293
    {'hecke_orbit_code': 4398063289760, 'n': 28, 'trace_an': 0}
  • id: 15454294
    {'hecke_orbit_code': 4398063289760, 'n': 29, 'trace_an': 0}
  • id: 15454295
    {'hecke_orbit_code': 4398063289760, 'n': 30, 'trace_an': 0}
  • id: 15454296
    {'hecke_orbit_code': 4398063289760, 'n': 31, 'trace_an': 0}
  • id: 15454297
    {'hecke_orbit_code': 4398063289760, 'n': 32, 'trace_an': 0}
  • id: 15454298
    {'hecke_orbit_code': 4398063289760, 'n': 33, 'trace_an': 0}
  • id: 15454299
    {'hecke_orbit_code': 4398063289760, 'n': 34, 'trace_an': 0}
  • id: 15454300
    {'hecke_orbit_code': 4398063289760, 'n': 35, 'trace_an': 0}
  • id: 15454301
    {'hecke_orbit_code': 4398063289760, 'n': 36, 'trace_an': 0}
  • id: 15454302
    {'hecke_orbit_code': 4398063289760, 'n': 37, 'trace_an': 0}
  • id: 15454303
    {'hecke_orbit_code': 4398063289760, 'n': 38, 'trace_an': 0}
  • id: 15454304
    {'hecke_orbit_code': 4398063289760, 'n': 39, 'trace_an': 0}
  • id: 15454305
    {'hecke_orbit_code': 4398063289760, 'n': 40, 'trace_an': 0}
  • id: 15454306
    {'hecke_orbit_code': 4398063289760, 'n': 41, 'trace_an': 0}
  • id: 15454307
    {'hecke_orbit_code': 4398063289760, 'n': 42, 'trace_an': 0}
  • id: 15454308
    {'hecke_orbit_code': 4398063289760, 'n': 43, 'trace_an': 0}
  • id: 15454309
    {'hecke_orbit_code': 4398063289760, 'n': 44, 'trace_an': 0}
  • id: 15454310
    {'hecke_orbit_code': 4398063289760, 'n': 45, 'trace_an': 0}
  • id: 15454311
    {'hecke_orbit_code': 4398063289760, 'n': 46, 'trace_an': 0}
  • id: 15454312
    {'hecke_orbit_code': 4398063289760, 'n': 47, 'trace_an': 0}
  • id: 15454313
    {'hecke_orbit_code': 4398063289760, 'n': 48, 'trace_an': 0}
  • id: 15454314
    {'hecke_orbit_code': 4398063289760, 'n': 49, 'trace_an': 0}
  • id: 15454315
    {'hecke_orbit_code': 4398063289760, 'n': 50, 'trace_an': 0}
  • id: 15454316
    {'hecke_orbit_code': 4398063289760, 'n': 51, 'trace_an': 0}
  • id: 15454317
    {'hecke_orbit_code': 4398063289760, 'n': 52, 'trace_an': 0}
  • id: 15454318
    {'hecke_orbit_code': 4398063289760, 'n': 53, 'trace_an': 0}
  • id: 15454319
    {'hecke_orbit_code': 4398063289760, 'n': 54, 'trace_an': 0}
  • id: 15454320
    {'hecke_orbit_code': 4398063289760, 'n': 55, 'trace_an': 0}
  • id: 15454321
    {'hecke_orbit_code': 4398063289760, 'n': 56, 'trace_an': 0}
  • id: 15454322
    {'hecke_orbit_code': 4398063289760, 'n': 57, 'trace_an': 0}
  • id: 15454323
    {'hecke_orbit_code': 4398063289760, 'n': 58, 'trace_an': 0}
  • id: 15454324
    {'hecke_orbit_code': 4398063289760, 'n': 59, 'trace_an': 0}
  • id: 15454325
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  • id: 15454326
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  • id: 15454327
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  • id: 15454328
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  • id: 15454329
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  • id: 15454330
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  • id: 15454331
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  • id: 15454332
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  • id: 15454333
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  • id: 15454334
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  • id: 15454335
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  • id: 15454336
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  • id: 15454337
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  • id: 15454338
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  • id: 15454339
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  • id: 15454340
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  • id: 15454341
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  • id: 15454342
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  • id: 15454343
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  • id: 15454344
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  • id: 15454345
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  • id: 15454346
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  • id: 15454347
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  • id: 15454348
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  • id: 15454349
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  • id: 15454350
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  • id: 15454351
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  • id: 15454352
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  • id: 15454353
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  • id: 15454354
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  • id: 15454355
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  • id: 15454356
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  • id: 15454357
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  • id: 15454358
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  • id: 15454359
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  • id: 15454360
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  • id: 15454361
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  • id: 15454362
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  • id: 15454363
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  • id: 15454364
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  • id: 15454365
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  • id: 15454366
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  • id: 15454367
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  • id: 15454368
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  • id: 15454369
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  • id: 15454370
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  • id: 15454371
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  • id: 15454372
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  • id: 15454373
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  • id: 15454374
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  • id: 15454375
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  • id: 15454376
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  • id: 15454377
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  • id: 15454378
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  • id: 15454379
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  • id: 15454380
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  • id: 15454381
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  • id: 15454382
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  • id: 15454383
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  • id: 15454384
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  • id: 15454385
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  • id: 15454386
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  • id: 15454387
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  • id: 15454388
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  • id: 15454389
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  • id: 15454390
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  • id: 15454391
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  • id: 15454392
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  • id: 15454393
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  • id: 15454394
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  • id: 15454395
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  • id: 15454396
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  • id: 15454397
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  • id: 15454398
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  • id: 15454399
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  • id: 15454400
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  • id: 15454401
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  • id: 15454402
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  • id: 15454403
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  • id: 15454404
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  • id: 15454405
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  • id: 15454406
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  • id: 15454407
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  • id: 15454408
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  • id: 15454409
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  • id: 15454410
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  • id: 15454411
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  • id: 15454412
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  • id: 15454413
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  • id: 15454414
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  • id: 15454415
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  • id: 15454416
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  • id: 15454417
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  • id: 15454418
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  • id: 15454419
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  • id: 15454420
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  • id: 15454421
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  • id: 15454422
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  • id: 15454423
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  • id: 15454424
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  • id: 15454425
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  • id: 15454426
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  • id: 15454427
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  • id: 15454428
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  • id: 15454429
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  • id: 15454430
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  • id: 15454431
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  • id: 15454432
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  • id: 15454433
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  • id: 15454434
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  • id: 15454435
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  • id: 15454436
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  • id: 15454437
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  • id: 15454438
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  • id: 15454439
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  • id: 15454440
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  • id: 15454441
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  • id: 15454442
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  • id: 15454443
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  • id: 15454444
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  • id: 15454445
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  • id: 15454446
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  • id: 15454447
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  • id: 15454448
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  • id: 15454449
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  • id: 15454450
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  • id: 15454451
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  • id: 15454452
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  • id: 15454453
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  • id: 15454454
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  • id: 15454455
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  • id: 15454456
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  • id: 15454457
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  • id: 15454458
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  • id: 15454459
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  • id: 15454460
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  • id: 15454461
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  • id: 15454462
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  • id: 15454463
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  • id: 15454464
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  • id: 15454465
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  • id: 15454466
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  • id: 15454467
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  • id: 15454468
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  • id: 15454469
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  • id: 15454470
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  • id: 15454471
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  • id: 15454472
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  • id: 15454473
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  • id: 15454474
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  • id: 15454475
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  • id: 15454476
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  • id: 15454477
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  • id: 15454478
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  • id: 15454479
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  • id: 15454480
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  • id: 15454481
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  • id: 15454482
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  • id: 15454483
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  • id: 15454484
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  • id: 15454485
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  • id: 15454486
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  • id: 15454487
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  • id: 15454488
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  • id: 15454489
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  • id: 15454490
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  • id: 15454491
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  • id: 15454492
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  • id: 15454493
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  • id: 15454494
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  • id: 15454495
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  • id: 15454496
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  • id: 15454497
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  • id: 15454498
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  • id: 15454499
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  • id: 15454500
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  • id: 15454501
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  • id: 15454502
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  • id: 15454503
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  • id: 15454504
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  • id: 15454505
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  • id: 15454506
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  • id: 15454507
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  • id: 15454508
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  • id: 15454509
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  • id: 15454510
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  • id: 15454511
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  • id: 15454512
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  • id: 15454513
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  • id: 15454514
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  • id: 15454515
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  • id: 15454516
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  • id: 15454517
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  • id: 15454518
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  • id: 15454519
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  • id: 15454520
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  • id: 15454521
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  • id: 15454522
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  • id: 15454523
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