Newform data - 736.1.p.a

Formats: - HTML - YAML - JSON - 2026-09-22T04:03:16.409206

• 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': 736, 'analytic_conductor': 0.3673118492978898, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 736, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 8, 'char_parity': -1, 'char_values': [736, 8, [415, 645, 97], [8, 7, 4]], 'cm_discs': [-23], 'conrey_index': 45, 'dim': 4, 'field_disc': 256, 'field_disc_factorization': [[2, 8]], 'field_poly': [1, 0, 0, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 8, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [2, 4, 6, 4, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 1030808928992, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 23, 2, -1, 2, -23], [1, 1, 32, 7, 1, 8, 0], [1, 1, 736, 16, -1, 8, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '736.1.p.a', 'level': 736, '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, 23], 'level_radical': 46, 'minimal_twist': '736.1.p.a', 'nf_label': '4.0.256.1', 'prim_orbit_index': 16, 'projective_field': [50, 0, 16, 0, 20, 0, 8, 0, 1], 'projective_field_label': '8.0.600953971539968.26', 'projective_image': 'D8', 'projective_image_type': 'Dn', 'qexp_display': 'q+\\zeta_{8}q^{2}+(-1+\\zeta_{8})q^{3}+\\zeta_{8}^{2}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'self_twist_discs': [-23], 'self_twist_type': 1, 'space_label': '736.1.p', 'trace_display': [0, -4, 0, 0], 'trace_hash': 254239717412111131, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.039', 'prec': 7}, {'__RealLiteral__': 0, 'data': '3.984', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.623', 'prec': 10}, {'__RealLiteral__': 0, 'data': '105.588', 'prec': 20}, {'__RealLiteral__': 0, 'data': '9.961', 'prec': 14}, {'__RealLiteral__': 0, 'data': '4366.942', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.792', 'prec': 10}, 'traces': [4, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -4, 0, -4, -4, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 4, 0, 4, 0, -4, 0, 0, 0, 4, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 0, 0, 4, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 4, 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, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, -4, 0, 0, 0, 4, 0, -4, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 4, 0, 0, 0, 0, 0, 0, -8, 0, 0, 4, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, -4, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[[1, 0]], [[1, 1]], [[-1, 0], [1, 1]], [[1, 2]], [], [[-1, 1], [1, 2]], [], [[1, 3]], [[1, 0], [-1, 1], [1, 2]], [], [], [[-1, 2], [1, 3]], [[-1, 2], [1, 3]], [], [], [[-1, 0]], [], [[1, 1], [-1, 2], [1, 3]], [], [], [], [], [[1, 1]], [[-1, 0], [-1, 3]], [[-1, 3]], [[-1, 0], [-1, 3]], [[-1, 0], [1, 1], [-1, 2], [1, 3]], [], [[-1, 2], [-1, 3]], [], [[-1, 1], [1, 3]], [[-1, 1]], [], [], [], [[-1, 0], [1, 2], [-1, 3]], [], [], [[-1, 0], [1, 2], [-2, 3]], [], [[2, 1]], [], [], [], [], [[1, 2]], [], [[1, 0], [-1, 1]], [[-1, 2]], [[1, 0]], [], [[1, 0], [-1, 1]], [], [[-1, 0], [-1, 1], [1, 2], [-1, 3]], [], [], [], [[1, 0], [-1, 3]], [[1, 1], [-1, 2]], [], [], [[-1, 0], [-1, 2]], [], [[-1, 2]], [], [], [], [], [[-1, 1], [1, 2]], [], [[1, 0], [-1, 2]], [[1, 0], [-1, 1], [1, 3]], [], [], [[1, 0], [1, 3]], [], [], [[2, 0], [-1, 1], [1, 3]], [], [], [[-1, 1], [1, 2], [-1, 3]], [[2, 2]], [], [], [], [], [[1, 0], [1, 2]], [], [], [], [], [[1, 3]], [[-1, 0], [1, 1], [-1, 2], [-1, 3]], [], [], [[1, 1], [-1, 2]], [], [[-1, 3]], [], [[1, 1]]], 'ap': [[[1, 1]], [[-1, 0], [1, 1]], [], [], [], [[-1, 2], [1, 3]], [], [], [[1, 1]], [[-1, 2], [-1, 3]], [[-1, 1], [1, 3]], [], [[2, 1]], [], [], [], [[1, 1], [-1, 2]], [], [], [[1, 0], [-1, 2]], [], [], [], [], [], [[-1, 1], [1, 2]], [], [], [], [], [], [[1, 2], [1, 3]], [], [[-1, 1], [-1, 2]], [], [[-2, 1]], [], [[-1, 0], [1, 1]], [[1, 0], [-1, 2]], [[-1, 0], [-1, 1]], [[1, 2], [-1, 3]], [], [], [[-2, 0]], [[-1, 0], [1, 3]], [], [[1, 2], [-1, 3]], [[-1, 1], [1, 3]], [], [], [[1, 0], [1, 2]], [[-1, 1], [-1, 3]], [], [], [[-1, 1], [1, 3]], [], [[1, 0], [1, 1]], [], [[1, 0], [1, 3]], [], [], [], [[-1, 0], [-1, 1]], [[2, 1]], [], [[1, 2], [1, 3]], [[1, 0], [1, 3]], [], [[1, 0], [-1, 3]], [[1, 0], [-1, 1]], [], [], [], [], [], [], [], [[1, 0], [1, 1]], [], [[1, 0], [-1, 2]], [], [], [], [], [[-1, 0], [-1, 2]], [[1, 0], [-1, 3]], [[-1, 1], [1, 3]], [], [[1, 2], [-1, 3]], [[2, 2]], [], [], [[-1, 0], [1, 2]], [[-1, 1], [-1, 2]], [[1, 0], [1, 1]], [], [[1, 0], [-1, 1]], [], [], [[1, 2], [1, 3]], [[-1, 2], [-1, 3]], [], [], [], [], [[1, 1], [-1, 3]], [[-1, 1], [-1, 2]], [[-1, 1], [-1, 3]], [], [[-2, 3]], [[1, 1], [-1, 3]], [], [], [], [], [], [], [[2, 3]], [[1, 2], [-1, 3]], [], [], [[-1, 1], [1, 3]], [], [[1, 1], [1, 2]], [[-1, 0], [-1, 1]], [], [], [[1, 1], [1, 3]], [], [], [[-1, 2], [-1, 3]], [], [], [], [[-1, 0], [1, 2]], [], [], [], [], [[1, 0], [1, 2]], [[1, 1], [1, 2]], [[1, 0], [1, 3]], [], [], [[-1, 0], [1, 1]], [], [[1, 1], [1, 2]], [[-1, 0], [1, 2]], [[1, 1], [-1, 2]], [[-1, 1], [1, 3]], [[-1, 2], [1, 3]], [], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [], [], [], [[-1, 1], [1, 3]], [], [], [[-1, 0], [-1, 1]], [], [[2, 3]], [], [], [], [[-1, 1], [1, 3]], [[1, 0], [-1, 3]], [], [[-1, 0], [-1, 3]], [], [[1, 2], [1, 3]], [], [], [], [], [[-1, 0], [1, 3]], [[-1, 0], [1, 3]], [], [], [[1, 1], [-1, 3]], [], [[1, 0], [-1, 3]], [[-1, 0], [-1, 2]], [], [], [[1, 0], [-1, 1]], [], [[-2, 1]], [], [[1, 1], [-1, 3]], [[1, 0], [1, 3]], [], [[-1, 2], [-1, 3]], [], [], [], [], [], [], [], [[-2, 2]], [[-1, 1], [-1, 2]], [], [], [[1, 2], [1, 3]], [], [[1, 0], [-1, 1]], [], [[1, 1], [1, 2]], [[-1, 1], [-1, 3]], [[1, 0], [1, 3]], [], [], [[-1, 0], [1, 2]], [], [[-1, 1], [-1, 3]], [[-2, 2]], [], [[1, 0], [-1, 1]], [[-1, 1], [1, 2]], [], [], [], [[-1, 0], [-1, 1]], [[1, 1], [1, 2]], [], [], [], [[1, 1], [1, 2]], [[-1, 2], [1, 3]], [], [], [], [], [], [], [], [[-1, 0], [1, 3]], [[1, 0], [-1, 2]], [], [[1, 0], [-1, 3]], [[-2, 3]], [[1, 0], [1, 1]], [], [[2, 1]], [[2, 0]], [], [], [], [], [], [], [], [[1, 0], [1, 1]], [[1, 0], [1, 1]], [], [], [[1, 1], [-1, 2]], [[-1, 0], [1, 2]], [], [], [[-1, 0], [1, 3]], [], [], [], [], [], [], [[1, 1], [-1, 2]], [[-1, 2], [1, 3]], [], [], [], [], [[1, 0], [1, 2]], [[-1, 1], [1, 2]], [[-1, 0], [1, 1]], [], [], [[1, 1], [-1, 3]], [], [], [], [[1, 1], [1, 2]], [[-1, 1], [-1, 3]], [], [], [[-1, 0], [-1, 2]], [[1, 1], [-1, 3]], [], [], [], [], [[-1, 0], [-1, 1]], [], [], [[-1, 1], [-1, 2]], [[1, 1], [-1, 2]], [[-1, 2], [-1, 3]], [], [], []], 'char_orbit_index': 16, 'field_poly': [1, 0, 0, 0, 1], 'hecke_orbit_code': 1030808928992, 'hecke_ring_character_values': [[415, [[1, 0]]], [645, [[-1, 3]]], [97, [[-1, 0]]]], 'hecke_ring_cyclotomic_generator': 8, 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '736.1.p.a', 'level': 736, 'maxp': 1999, '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': 736, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 0.3673118492978898, 'char_conductor': 736, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 8, 'char_parity': -1, 'char_values': [736, 8, [415, 645, 97], [8, 7, 4]], 'conrey_index': 45, 'cusp_dim': 12, 'dihedral_dim': 12, 'dim': 12, 'eis_dim': 8, 'eis_new_dim': 8, 'hecke_orbit_code': 1030808928992, 'hecke_orbit_dims': [4, 8], 'label': '736.1.p', 'level': 736, '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, 23], 'level_radical': 46, 'mf_dim': 20, 'mf_new_dim': 20, 'num_forms': 2, 'prim_orbit_index': 16, 'relative_dim': 3, 's4_dim': 0, 'sturm_bound': 96, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [12, 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, -12, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 12, 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, 12, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, -12, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 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, -12, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 12, 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, 12, 0, 0, 0, 0, -12, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 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, 12, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, -12, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 12, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 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, -12, 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, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 12, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -12, 0, -24, 0, 0, 0, 0, 0, -12, 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, 12, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, -12, 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, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0], 'weight': 1, 'weight_parity': -1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 477418
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 16, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '736.1.p.a', 'source_level': 736, 'target_char_orbit': 16, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '736.1.p.a', 'target_level': 736, 'twist_class_label': '736.1.p.a', 'twist_class_level': 736, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 1}
  • id: 477419
    {'conductor': 23, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -23, 'source_char_orbit': 16, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '736.1.p.a', 'source_level': 736, 'target_char_orbit': 16, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '736.1.p.a', 'target_level': 736, 'twist_class_label': '736.1.p.a', 'twist_class_level': 736, 'twisting_char_label': '23.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 477420
    {'conductor': 32, 'degree': 4, 'multiplicity': 1, 'order': 8, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 16, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '736.1.p.a', 'source_level': 736, 'target_char_orbit': 16, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '736.1.p.a', 'target_level': 736, 'twist_class_label': '736.1.p.a', 'twist_class_level': 736, 'twisting_char_label': '32.g', 'twisting_char_orbit': 7, 'weight': 1}
  • id: 477421
    {'conductor': 736, 'degree': 4, 'multiplicity': 1, 'order': 8, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 16, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '736.1.p.a', 'source_level': 736, 'target_char_orbit': 16, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '736.1.p.a', 'target_level': 736, 'twist_class_label': '736.1.p.a', 'twist_class_level': 736, 'twisting_char_label': '736.p', 'twisting_char_orbit': 16, 'weight': 1}
  • id: 477422
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 16, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '736.1.p.a', 'source_level': 736, 'target_char_orbit': 16, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '2944.1.p.a', 'target_level': 2944, 'twist_class_label': '736.1.p.a', 'twist_class_level': 736, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 477423
    {'conductor': 32, 'degree': 4, 'multiplicity': 1, 'order': 8, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 16, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '736.1.p.a', 'source_level': 736, 'target_char_orbit': 16, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '2944.1.p.a', 'target_level': 2944, 'twist_class_label': '736.1.p.a', 'twist_class_level': 736, 'twisting_char_label': '32.h', 'twisting_char_orbit': 8, 'weight': 1}
  • id: 477424
    {'conductor': 92, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 16, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '736.1.p.a', 'source_level': 736, 'target_char_orbit': 16, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '2944.1.p.a', 'target_level': 2944, 'twist_class_label': '736.1.p.a', 'twist_class_level': 736, 'twisting_char_label': '92.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 477425
    {'conductor': 736, 'degree': 4, 'multiplicity': 1, 'order': 8, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 16, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '736.1.p.a', 'source_level': 736, 'target_char_orbit': 16, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '2944.1.p.a', 'target_level': 2944, 'twist_class_label': '736.1.p.a', 'twist_class_level': 736, 'twisting_char_label': '736.n', 'twisting_char_orbit': 14, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1267975
    {'charpoly_factorization': [[[1, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 1030808928992, 'p': 2}
  • id: 1267976
    {'charpoly_factorization': [[[2, 4, 6, 4, 1], 1]], 'hecke_orbit_code': 1030808928992, 'p': 3}
  • id: 1267977
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 5}
  • id: 1267978
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 7}
  • id: 1267979
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 11}
  • id: 1267980
    {'charpoly_factorization': [[[2, 4, 2, 0, 1], 1]], 'hecke_orbit_code': 1030808928992, 'p': 13}
  • id: 1267981
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 17}
  • id: 1267982
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 19}
  • id: 1267983
    {'charpoly_factorization': [[[1, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 1030808928992, 'p': 23}
  • id: 1267984
    {'charpoly_factorization': [[[2, 4, 2, 0, 1], 1]], 'hecke_orbit_code': 1030808928992, 'p': 29}
  • id: 1267985
    {'charpoly_factorization': [[[-2, 0, 1], 2]], 'hecke_orbit_code': 1030808928992, 'p': 31}
  • id: 1267986
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 37}
  • id: 1267987
    {'charpoly_factorization': [[[16, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 1030808928992, 'p': 41}
  • id: 1267988
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 43}
  • id: 1267989
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 47}
  • id: 1267990
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 53}
  • id: 1267991
    {'charpoly_factorization': [[[2, -4, 2, 0, 1], 1]], 'hecke_orbit_code': 1030808928992, 'p': 59}
  • id: 1267992
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 61}
  • id: 1267993
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 67}
  • id: 1267994
    {'charpoly_factorization': [[[2, -2, 1], 2]], 'hecke_orbit_code': 1030808928992, 'p': 71}
  • id: 1267995
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 73}
  • id: 1267996
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 79}
  • id: 1267997
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 83}
  • id: 1267998
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, 'p': 89}
  • id: 1267999
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1030808928992, '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': 16, 'hecke_orbit': 1, 'label': '736.1.p.a', 'level': 736, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHERcaTgNONwAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7L13vGXXXd79XWXvfept02c0o1EdVUuyLEvuBbfYGMsYg4mBEGoCJCR5E0riEMIbYnDgpQWHYIwxGIPBGBvjKslF3epdo+m93X762WWt94+167lXsnGcGCc5H2+fc4vmnrP3s5/1/J5fWYL/+/iGPT76yTuQUmx5fN+xaZtYu32Dh+9JHjzc4+XPmxM3XdFavP2hhO0bljZcf/lJ++i+HdR8yZYNA1rNRBh5ySrYsxu2vwxgG7ACDIUQ3+yP9i370N/sN/Ct8jhw5AzABcYkWyzCDIYhf/Wxv+aS7afYvW2JmvI5dOJj0bJ9/i8O+8vfroWNTp7x2TIniAYjequxf/LkwvuPnxSIZPTDx6f64emzC2zbAMdGIVOtxBvFR/72tz+49xefOvFx8Zv/8Ud+9ezJw39Zix99sL/6jLIEIIRU0jsLHK63tn+zT8m3xOP/UsOzPJ4+MI8VtRnPHn75YPkxlJDRyeXpf9kbyddKYQmjmIceeoRWfYWLt3dY6SmOn6uDGRNHMbNtyzPHfa68IOH0vGR2KqbdDDh4WpOYiI0twanFiKsuNOw/LpmbMvi+T62mOTwvWenDpZtjLtk1y57Ln4fFQysYhPqWvYdHv5HYxHvVS6/i4t07bseOV4Tc/M0+ZX8vH/8X4OljZWUBC69vNccXHT7SM//xt//CvPP1Uxf0x5t/rt89SLPmc+T4GbrdRcJIszyQJNan5lnageVcN2b/6RHb52pM1xVKRGyc8rlkp2IwAiHHnJzXjEI4tShQ+AzHERfttGyZ7SORNBshWzf1eOboHEsrdZq1hEBHDEaGTl8RxjEzsxtptraj9JgrL7mAR59Z/JUbLz1z+LxLfkCGYlpu36QOAp+bam/8Zp/SvxeP/+MB/tTjdyKFePnKavi6xw8uftflF8zvGfd93v+xfdx01QoL8x7HFgbs2KBoBLBx2nByOUBJixSGbTMJx87VaDYsDx4cMxgLaj4srsIFGzWNesCWjTEvv6rLU4eneHCv4OljMS+6MmH7BkOzKdi5ZYWFFUUtgOHY8vAzG2jVJYfO+WydHSEF+CrhzJJiqhkjSdi+OWJhscXQGl55TZNjy1dQayW89HlTz5xZ3vzRKJafF4LbX//aV3yzT/E39fF/HMB73VXqtdrsmXML//n3P3SLv+/Y08mPvzl4/vLK1PV/9pmzbNl0lFdf0+S2B6YZmlVe+3zNnY/WuPC8If2hx+llxTgSBDrm8vMSNs+OWepJHj00RRQLLtk+4lxPcfWFQ/Yf8eiONOEYbri8z74TDdr1kL0nNTdeKgmjMd2R5tGjkmvPT+j0PC7aERJGkscPCxZ7NbbOwJ6dPXwtCSM4s+zRG8dcvM3jy49aXn19n/Fwms98ZcArrl/lmgt3cv/+bSwOBw++49WLD23ecI3acN4bwmZ77t8mcbg8MzP1zb4E/0sf/9sHmYePHMP3tPjLv7mTV904UGr82fceOuJfet/DZ1564uhJdfZchwPHVtjSmmL7XJNHDm7g5dcu8/w9U3zu/hYPHBxw/lbL6XnNtk2WwSlLZC3jyOPEgmTz3BghLJfsGPP0YU3gD7lwq8/ZBY+ZtuDGyyMeO2B4/FCbQdRj15aQ53lTnFqER/fXuXRXzM4NcOicoB5EIBT7T2osEdKGnLfR0qqDEiGe8ugM4bxNiqOnBdfv6THTaHLLE4L2VMSLrmzz0FOWOx86xHnn9a43Y3X903uPcOYrH0+81o7LO5G3731/+mc/8dIrZLLxvJdjTWw3b9n5zb5E/1Mf/1sCfHX5DEoqORx2ax/+o18Yf/t3/8K/Nkny/f/ud49G7/q+fZfVma71V2q0fRgNJA/vF3z/a/pcdVGL00s1bn0w4Dtfuso1F87xhUd8LjpvwJbpFkdPx9ywJ+SZEz7TzQiQPHm0wbZZw9KK5u6nEu4+AFfvslx+nmS5J7jzacmrroyYbipWei1OnNGsdi3KC/mBN6xw7Gyb1Z7guktHXH3RAh4znF3cyIkFuPx8wzCUHDkbMNPQ7D0pufQ86PUkl+5aZPe2Gl94wOfo0pC3vdxwbnGGvUehM0649qIQYabZf2TAU4f2qn3zh14xNdO/8Td+on6DMS/wxuPxn3zPD/zcrz319IFgdmZqFMex2bnzfz9n5n8riZIkBiGFFMnidGfp8E29oX7fvv2H4vsfOjD36NNn2o8djZnduMi73jHGJtt5bH+dR/dH7D875HUv6vCSy5o8tm+a2x8PmZ7r89YXS554psWdTw657MKYHbN1sEOEFnhSc/CMZlM7oTO2tGpjjs0nPHUioaVmeO0L+qystrjvacuVuwUX70xIYsHxBY8kMVy8Q3DFBRH3PSVY7g94zfWSevM0+462OHpmhkYg6A08NkzFHDrj4+sxSiqs0Zy3ZZkrdinueGSGBw9HvOXlHTY3p7nj4RqPHBlw4zUrvPEFPgePbeTRfYbHDkUMZJ93fd8826Y38czRDawON3enNuxeOn/3RXoYix+9+ooL7926YWoVjBFCfbMv5Tfs8b8Ng58+u8TJM4vn3/HQkR2X7og/en7rb6eOHx40jx4SjIeaVh22T1seOzrDXXvP8tabVjivo+n0Nd1hwEe/0GSu1eXqSzSjsMldT1o+fveAt720Q63W4uEDHtvm+sy1fU6c03SHCYPBkOZmj8hoZpuKbTOSl1055JEDMVoKAj8maMQ8eFjRbHns2BAyjmH7HFx76QKdgWYczxAZzRNHJY/t30WgagR+gp4eMxzDVHvIbqDb9zkxnzA3PWDjVIvP3+fzxPGQm1/RZ8d0m7sfq/H4kRGXX7jC974yYf/RGQ6dFJycjznTSXjTK7pcsbPO3kNNFlcEx86cbZ+472h7cXg/zU1b/vK3fn7QsfXou0JxxcnxcPFoUN/wzb6k35DHtzzArbUAl972hdu3jWLvv3/p7qcv/qX7vqw++LOnmWttZuPMBoZjzXCkGYwMu0fwx5+fZdvcEjddohmMNjCOPIZhg/ueDgmjFa6+BAK/wf3PKD52R4crz1/lpVc3OXCizcLqiLofs3HGcMl2xZklxXJH0u0ltOpjAt9jx8aQI2c9tBxy84s1D+3zuGzXKtPTXT79cIPuMGDDVJOH9/tcfkGPuSmPo/OC7Rs9arWImVqCpyVSCh7cO8tUc0DdH3PReQpf1rnrcUujscrbXgEtb5ovPuDzzMkhV+9Z5toL4cTpLew97HH0dMRTJy3XX7XCD74m4uS5rZxZrrG4CsudmJU+PHVyyHT3gebg5Oebi+Ebbh8r78Dyqv1xa+1pYN+3ehb1WxbgyyvLaK0vfurpJ5836A1++vDhIy//4l1P8vCBLgvjFr/3N23+9Xd32baxznCsGI59RmOP4djSP13n0/c1edEVS1x7qQJmsNbj0YMz/NG+Pm97VZebLovYMN3kwb0z3HLfiK0bRuzZJdg0pTl02mMwiugPoNMXaG3ZviEBJZEyZDiQnFmpgamzaSrkou0D7n48YEzMW18SkYQNDp6UbJzRbJ8TGBOzsKLpjsYMI59e3+e8DWPm2iOUkmgtiCLNoZOwcWbAjVfHbJvR7D82xV3PwOnlHtdf3eMdr0g4cXoLj+wL2Hcs5pHDCZHo8aYbRoyGGzh5rsG5JcnCSsRSJ+bkssSrj/jpt3Wo6zqHDjyizq2c26OaV31pHPm31+r13+p0O4/FcXxgbnbum33Jv67Ht6TYWpw/Sb3mnX/86L7/79DBZ/7DPffcc/6+/YcYjUK0kozHiiePeuzY2uXFl0dEkU+UaIxVWCvQGI6f9Tm6aDh/a5ctM9AIatQ8jULz6CHF2dUR7XbIFbsNl+4I6PVrnFwQ+DoisorTKx6nFwzdUKC1ZvN0zLkVw9EzPjMtiUCzaTZiuWe56vwRUjY4s9Tgku0B+48FnFi0XH7+mHPLkij2GIaKS8+LEMLSG0g2T8dsnB2zaTbEk9AZKIIALtkhWFlp8YWH6hw4PWJ2tsMrnz/kxksDDh3fxKP7fJ46HHN4IaQ13eGHXt/nil1THDszzfGzHqcXEs4tRRxfEuxfsLzlJef44TfE9AZznF2c4uwCHDh0mmcOHD1/MIq/JwyTXRvmNt77Ez/xU6u/9Zu/8c2+9H/nx7fU+pMMn0B6tY2j7smfPnHksauOnQxvfvqZ43SHHp2+YHk1YnE15uyK5ciKYG5Dh5//7kVeeEmTI6fnOH62wcl5xen5hONnIw4vGHSjz9te2udNN/gcPzvH3iMBB08a9h6PSOSI8zaFvOgqw65NkuNnm5w4J1nuGkaxQUqYacHGqZjlrqbbV8y0Q7TQzLQTakHEfXsDLthi2DgTc2axjqcMp5YMm2YsF2wN+creAN9XzLVAqYgNTVjpC5b6gk1tw2w7QkoYh4rlrubYOc3xhZhdW0bcdFXMjo0akgbPHGlw6KTl6WMJx5bGvP7FK3znS8fU1QxHz8xw9LTm9HzC6cWI4wuW/QuWF1yxwM++vcvmqRlOLUxzbrHGuWWPxVVYWg1ZWh2zdftuEm/m4y99yXVPXHLhtt/qD8YLL77mom82FL7mx7cMg9vBf0XIk207evS/jZbv+icriycv764uI2QAKIyRGCswxiCwSAtHz9Z48KDg4h0dLt9lAA9QSKnRShIoy/yixzMnFSMzZM+uLhduN2yc0WyZ8fFFwFIn4MRZwZEzgsePwtEzIQsrYzq9hFHkUfN9NrYs2zdFCJEwHGvO3xLhKUtkBFHis9SVDMcevhYIa9g4bdgwlbDcDegOBaPYY2Ug2DJlWOoYjp9T1DyfLbOwY2PI5rkRm+bGbJkbs2OzZecWxWXnedRVkyPH23zlSZ+H98c8fiwiUT3e+JION7/IUldz7D82zZHTmlPzCWdTcB9ctFx/xQL//p0rnLdhitPz08yv1FjqeKx0JZ1eQmeQ0BvCM4cXefpY97In95166bGTZ84/furc52981VvCu2/96282JL6mx99rBl9e6dAbCXxt3337g/tf9Au/+cfye15x+kX/z9tO6oWVrSyuzLC40mCp47PU0Sx1YLmTsNyJWFpNOLsKh5YEGzes8h+/f4kXXNLgxLlZTs83Ob2oObdkObsYc3IhYb4XMz074sVX9XnhHvBlnUAFnFuucWZRc3ZZMBhDHBtqvqFZS5iZijHAsbMx3T7s2uzRrI+xVoDw6Q8NO7eMWVrVYJ0UWe3DOAaLZbkTsn2TR2+oEMoizJh2zWPn1hGrA8Gx05rEaObaklZNEHgQx4LBWHJ2WXJmyXJuJSYIRuDF3Hh5nxddIdjYrrO00ubEuYDTi3BuMebccsypZTi0ZHn+5Yv80vevsGW6zfGzs5xdqrOw4rPYkSyvJqx0I1a6Ccs9y3xXcLQDvaVlfuffjOIf/HZxj5r+Z0YEV98jRfLziQnwa+1vNlSe9fH3lsE//Od/zQtfcC0/9zP/zy//yUe/9K9+50+/eNH+Y93zD50eyJuuGHHBVksca6yV6SHASkACAiEsWlh8CaeX6tx/UHLVhcvsOW9Eowaelviewvc1zbqk4UkGfY99R2vc9rDPsfkx3Thi34kxm+eWedOLV7jqoh7P39Ph6GLM4kDQCEYcPm3pdJtceYFkdZSw96ii1dA8dQwu3mYZhQmjxEfriJkWPHMiQOkET8ZoD4ZjyQv2DBgOJFddlNAdJhw73WL3FkWzEbI6tmyaHrDS7/IXX4JHjyQ8fmTErm1LXH1pl5nZkDfc2OM7X2a5cEuLJJrmyKkpDp30OHHWcHI+4uR8wqF5wfHViOddssB//P4em6enOXF2lnNLDRZWfZY6kpVOQqcXsdpPWO1bVvpwdqDo9EJeePkSP3nzvGx69vzFc8d3DwbmBq9+Ub3enPnCvXd+kj/4wz/7ZkNm3cffSwb/xCc+wfOft0vddvveXzh49My/+8ojR9WJhZDFsWZhGHP1+fP8xo8vcO2FDc4uz7C02mS5U2O547Hc1az0YKWTsNKNWe7FLHbgxIpA10fcdMUy3/2ykN2bmqz228wv11lY9lnsCJY7TiKs9AzdoaE7tgxGMXPtiJ2bDSAIPMvJeQ8hA3ZtUuzeZtm2acC5lTGPHWhx3cWWRn2FJw/O0mqGhKHH3IxhOILLdo748JemufS8mPHYsmFKEiVDWrWAp46OqHtNrrkk5vHDIeeWfLbPBezeCju3hCgVcXIRfM8ihGXX5piZlqQ3DOgPPLoDj+WuYnkVljqG5U7CYifhbAeWRgk7t/f57pcvctMeTc1rc2axzeJKjcVVzXJXsNIxrPYiVnoJqz3LUh/O9hVnV2NuuPQs7/kni1y6o85Kt81qt8ZKf4ZEX5LoYMsvr0QX/FJTnU5e9/o3f7Ohs+bx9wrg+/fvp1ar1U+fPrlz7969bz967Mx/emrfMbpDwWofVoeS+aHkTC/i+Rec49d/fJmrL6gzvzLN0mqTlW6N5a7HSlez0oVOz7Dai1npxSx3Lec6gtN9C6LPzS/p8IYXGC7YWiMMG6x0aqz2fTo9xUpf0BsIRmNLGFuSBJS0BB7UA8t027JpNkJ7Iw6dCXniYICJm7zuhhDtrfLQ3inO3wqfvT/mJVcGzHeG1LQiTiJmZyCOPLQXs7TU4MXXdvnsvS12b4UHD4zxaPDaFxhiMeSJQwlHTtbQ0mfzjGamKagHAt8XKAGxgTCyjELoDSyrfUNvYFgdGJb6lmGSsGvHgDe8sMPNLwrBtFhanWJ+uc5SRgYdWO0ldPoxqz3H3Mt9ONNTLHQTnn/JOd7z4/NcvqvO4uoUq70G3V6N5a7PwopABTuotze/64ILLv3LHTt2HB+NRsNLLrnkmw2l/PH3BuD7Dxxkw9xG//CRAz94+NDB9z7x+ONiZbUve8OE7sC4YyhYGQoWUpC/4KJ5fvVHlrj2ohqLqxnIA1Z7Pis9zWpP0OlZOv2E1V5Mp29Y6Vvme4IzHcPM9IBve36PG/fE7NqsaNc9ur0agScBRRhLjBEYC4MRIAwzrREHTlmMDbn1wSbjQZ2LtvvcdNWAyKxyx8PTXHOxx4GzfTorbV541YAvPBSweday95jlJ9/SZe/RgM2zktseVtx0mWJ50OXwiVmuuSTkjieGxOMGN17uc+F5I4Zxn1seUpAIDp3UtBsaLWAwdEF1YixRDEiD9g2dvqXZijhv65gXXTbg266LmWvWOLc8xdJqnZWuOzcrXUGnD51eTKcf0+kndAaW5YHkbE+w2Iu54dIFfvlHFrh6d42FDNz9gG7fp9PXrPYVKz0wtmYuu/wqe9FFF//ERRdd/EeLC/PhBRf+/XBa/l4APIxiOR4P33T37Z+7qDeI3/PQQw941gqiGAajhP4wpj809EaW7lDQHQrmh5LTnZgbL5vn3T+ywHUX+qx2p1hYadHp11jt+az2NZ2eojOAXt/SHcR0+wn9oaEzsCz0BQt9iJIxV188ZMtsQn9gef0Lx5y/xRAnEi0tYQS3P1bj+HyNrTMxTx6qgWmwZ4fi2ksNQW3AQwcGLCw2ueL8Ju3pFe593OP6i2ssDVZZWWmzZYvl/r2Kf/jKPg/s1ezY5LHY77CyPMu1lw2498mE2fo0V1zUZ77T4f6np6nrJs+/1HLJzhHIPo8dEWyajTi3EHHHYx6jSCElJMZy/taQb3thSK+v2DZjuPZiCMMGy50Gy52A1b5Hd6Do9CXdPnQHCd1+Qm/gCGR1YFkeSk51BZ3hmJsuWeCXfniF51/sbo5Or053ENBL5VB3oOgNJP0RDEcJcWK47rrrI2vVz3z7t/+Dg416/VPa88w3G1vf9EzmeDQgCQfff+zQw78xf+bA7Jlzy7QaijgRiNBijMUYhcvIpxagsEhpkVLzwP7N/Pz7NW+5aZnveeUyu7eHnF1qE/h16oFPI/Bo1jW9uqQ19Jhq6vSmSdg8NgzHlt4oYHmhxskTljA2nDobEwQWEPjKoqVgMFQIPOKB5nnnCy7cZtm5fcA46fG5BxTPHJzhNdcFXHvZCn/8OYsvGpy/fcDj9yq2Tys2tAfUVJ0w8pjvQbOm2bFZ8OgzIddeUudl1yzywU8P8b0Wr77B4gUDvnh/yGfva/L0kToXbGtw/taEjTMhuzdEXHl+glIGrSxgaQQBG6cDwsijN/B58oBHf6QZDBX9kaQ/hP7I0h+4z94bJvSHlu7QsjqEhYHi3IqlMdXhp163wHfcNObqC5qcWWzT6dfopeDuDRW9oWQwEoxCCENLnEAYwV33POC12jO/MT27afklL3rBv+z1Bx9sNRv/5wI8ivoAP3zm2D3vPrL39tlk3Geq6TEOJeMIBAKswqa/LwQI4TpplLQomeBLyeMHNvLI/iYHTs/zlhf1edHlI6ZbbZY7DZrdGu2hT3+g6aUXezjSDMaa0dgyCg1hZIkiS5y4I4x9rAGpBJ4W1HzBdEsw04ItGww7Ng/YMNPh8w/BnY94SDPFa67zeN6eHnc/HRGO2tz0PEFnOGR+qcmNlxg2TA+o64BRrFjoRigjeN4lmkZrzMP7arz02ileeHWPh/cpsFNcd7nPD71xmS88GnLbA032Hq+xc6Niy2ydmVaDqRbUA/C0RUkwFvYeESSJIIoFYQzjCPcZxwnDsWE0NgxGhsHY0B9CdwwLfcl8D8ZmxKuuWeZNL+rwva82xHGbs4tNuv0avaFPf+jRHyp6Q8VgJNyRnr9xmDBOn0/Pn+b46c/NrvSS//KWN75Ud3uD97db3zyQf9MAHo8XESQ/tHr2C+9ePvXFTYEaMzMVMBwlDBQoJZBCIoRACIUQAilJwQ1KWbSyeMpQ9wSLgzof+dIOvvhIl5dcuco7X7XKlbv7zE03WFpt0BsGDIZeCmzljlAwjiRRLIhjt9Tb9G5S0qI11Hxo1A2zrYjtmwbE9DlwKuIv7qhx+EST6aDO9Zdrbryqy/37O9z6lTY3XFxj59YBH/6SQImAdititT/GWFACNrYHdHs+Jq7zppfM85HPNrjwXI033DAgjJa444k5oqTGCy7fxBuu73LxeR2++PCAx080eOyIz45ZyWxb0AgEvuduQpne/MaCMZYoTm/WyDKOHBBHIQxD6I0EK2PBcg+EHnHNpau889tWecnlCXPtOivdBp1end4goD/y6A+LlWAwlgxHOHCPE8Zj46zQ0AW740hydrnD+z5826alIe/+nje/2J44u/qH522Z/j8D4O/69d+mVt/Iu37nUz/wXS+df8+uqcc3eHJMu9lCiNhdKAlKyvS1RAoHdiU1UiYoJdLl2eApS6AtdS1YGSmWOjN89PYm9z3Z56arV3nnq1e55sIOc0mdOA4YjGr0hx7DsSaMFFEsiRNJYgTGilwCBb6hUYsJ/BDfG3NqacynH5QcPOlz5OQMygRcuNXnst2K6/Z0UcECTxxqsX26wRUXwJaNKyx321y5XRIby+cfCBgPJNPNmNe+YMSn7og4frbFpRd5nFkd8dRhj/M2z3D17gXufrzHvU8JxqHPnt2z7DkvYM+OHofOLHPwFDzwTIMDh5s0tCDQkmZgqXkgpQuqrHU3a5xAGEOYCPpjQXck6EYQmhhjRzz/4i7v/LYuL7kyYetswGg0xVKnRq8f0B/5DIaa/kgxGCmGY8FwJBmOXd/oaJykwDaMxpZxaBiEluEYRrHi3Okuv/bBL20aj/e/56e+I47tE/zx/C4rbILdMvu/LvT7Xwrwf/4f/yuX7z7AM0ft9y7OH/zt+dOPT++Z82jUZjAmxFqXoJHSoqQLoJQCJQVSCZRSKCXQyqBVgqcFvjb4niXwLA0/Ybom6I09VrozfOzONl96bMTmmQFvf3mHPeeNGA37XLHbct4WxTjySBJFYlyiSGCR0uDphGPnLEfOClaHhk/e3eDU4gw29JipKbbNaXZt0VywHa64sIuRi7zvU02Wl6e4YY/migs7fPExgYg9Ns1Imo2YQeQjrQQrUdqnMxKcWxZcbhu8/Loe9zxcZ9sGnxuumOUfv3GRP/psjwf2NemPPJZWW+zeVufSrQNecEmPt760x+nlZT55d8DSIODYGY9Tp3w8JZBSIhAYa0kMRMaSxIaZuYirLh8wHkfsOW/M214+ZtOUYrYVEEU1zizUGAx9BmO3yg1zYEsH7rFgNCYFdJJLE8fc7hiG0B8LeqGgbxSLJ5b4/K1Pbnjh+VO/fsHlD72rDj9kGN35vxJz/8sAbu17gGnxgY9s/67uyjN/8MorHm286rqYKGoReGOSoACZkOSBpAO6REmJVgKt0mct8HSCrwW+Z6h5lnpkaYSWqVrCTF0wCCW9sMmRk01+9c9mwcSIOOa6qwbs3hISx2CswVqXxJHC3Uja89l33GfvwRrNmqblSzY0BBvnJJtmNds2KnZtTbh01yqJWOJ3Pt7m2PFpbrjEY8/5CcO4x1eeCJiue8xNWaZbIY26k0LGSDojxXLfstRJ6PTrvPiKVR7cO+CZ44rpdo0XXD7Nj7xpid/9BDx8sEl/aFntac4tt9myocGmmRG75kb86+8a0G50ePwI7Dsh8TyLUhYhDGDd/yzEMZy/JeGmK2OSyCOKA6xtMAo9zi76DMduRRuFKpdvw1AwGgtGoWPtceiysuOxYRwaRpFJv2dzeTKIBP1Q0IkEvRiQMV98WDH1kRMbf/Idf7hxzGW73/Dan7zr237sw/a23/+H//sA/D+/973c8I6d6j0/9cTNL7r8wB/fddeh2vv/ts3Vl3TYc96YRuJS7uB0pJAWJTVKWRdMKpXqbYmnneb0PcXYk4xDQxAmjCNLPTKMI0MYWtoxjCPDOIYwFowiyTgJiJIazxxs8tgzkFiLg7bTxp4EX7maj1YAV2yFdh2mmpKZlmJuWrNpFnZuGbN14yqRXeZ3Pj7FocNTXHuB4oIdkgt3rPDlp2LOLU1x3W7JTNtQ84cEMsAqQZxIhLXESchKv8a5JY9r99R53iU97n64xuYZQaPW4tpLDD918xK//QnDU6darPYNqz3Fwopmw3STmXadmfYU7UbExmbErmtDAi/G0zFKJUjhggmLu6miSDG/oIliRRQrwkgxjtLnUDKOJONQMgol41C4ADUUjEMnP8aRY+wwTDV95L4/CmEUCYYRDEJBJxQsR4JxGEI0Ys+uiH/y1jFP7nuEzz5Sf99v/sFvDn/6h8XHD/2LX08uuuL/+dYH+D9/91+yMm6p6y87+7bf+7PVDw67p2v7T82x94Di3/6e4Jd+rMMVOwaIEriltCiVOSUWT1k8rfC0xQslvifcRfAEY18RRg7oUWQJ48S5InHpSCBOLEliSAxObxtycAsBSoKW4HkQaEEtEDQCSbOhmGpIZqYEm2Zjdm0Z0Gqu8vF7Qu54YpbVxTZX7VTs2upx8XkjErHK5x9o0PQ0G2cUrcaIJw7B04c1V55nGYwVV18ccdWFlrNnEhZWfIajBq+7vsddjw85cErRrEsCv82VFxh+6QeWuP2pIZ+6fQNLXcuuTQkrHc10WzHV9Gg1PJp1Sy0wBL4h0AlaOaklHWdgLS5hZQSxkcSJII4FUSwJY0EUScaRc17CSBBGljCEcZQQRoawRBzjKDtSlyYDdyTohJLVCEbjEBn1ed7uDv/xx5b5thdEbJ3x2TR1b+15l13xoaWje/7Rpultf7V87PeT2V0/9q0N8JZM5Ki3+D3PHDj3e3c/tFoLk/NBJdCI+du7PcKx5m2v7PL2V/aZaieoQYKSBq18F0TqBF9rvEgTaMXIc0wz9iShLwgj4S5OpIhiCCPpHIS4sP3ixJAkzl1IbOqUpG5J5s4o6WSPrwWBL6kFkmZd0G5YpluGzbNjNs70iO0qH71L8kefnWNTrcZVOwU7t3qcv82wa+sKH/+KZXm5xp4tipk2tBoR545K5lcC/N0wjgQbpyTT03DgiGWlazi7WOPi82u88roen76zxlwLAt9HyWmuvFDwo2+Yx5Pz/O3dMzx9qsbmbsSm6ZippqJVVzTqknqgCXwIPNDaOUxSgBQlkONu7MRAkgjihBToECWWMIYoShwpRIYwe45MajtmrowD9zAWjCJBPxJ0YkEvtETjMVNBl7e/bom3v7LHa59v6HebXLBFcfE2SW94pDbuT/1B6DW0EP6f43jmWxPg/+0PP0GSmB/4wj2Hf/3IoRPtjdM+gwRGCUTGkCifzz/g8ZWnapxZXuYn3zpkph1TC2K6/Rpa+Xjac0eYEHoaP3TSJIxcKt0xjnBMlLJSHEOUQJI4J8EYF3AZY7MezhTcDuAucBV42gGkFkCjZmjVY6ZbMRunh2yYWeWeZ0I+dGudfUemOX/K48ItsGOLz47NcOnOLoO4y/1729SVx8YZxXQLpltjZqZifF8jhLu5hmOf5W7E6sDS6cfMr/js3NLihXvmufWBAftOtWkEEZ7yEWKKC7crvu/Vizz/0nk+dGuL+5+cZqmv2dSOmW7ENGqSek0ReILAk3iei1WUIrUPHcotrofVGHKgx4lJV7fUWowNceLAHUcQxrY4IufKjFJgDyJBL3Z6ezSMMfGQuUaXf/qdy/zrdwxo1jWdXoMw9oljTRR7RJEmjE62ZVD/ndrUNf7hpz/+RxdcfvO3HsBXVjsoKX/49z7w1+8+d/rE3MYmjBNDM4JhIhgmkoEMGCvN6tjn1//CZ++hFd700j4vv6bH5g0hvW6d4TjA92IC32McagLf2XsZwKNIEsZu2Y3i1NNOSK0/UuaWGEsBbpekTJkbtHIJE9+z1HxDvRbTqsXMtMds3dDlXGfAez/p8fkHZ1leaXLRRsHOTYLtm3x2bBLs3jZC+6t85A7N4RNNLtksmWlJppoJUo45tWAJtLM9rRWEkWbXpi4PkNAdKFa6lnPLdS7ZUeOtL+/wV1/0OXouwNMRQngY2ySKJdftXmHXO7p8/uEBH/78LA8dbbJ9RrChmdCsJdR8QeAJfM/FKlrhAmcp8poMi7vJjMU5LYkDfAbyOHGSzoEdwsTVuoRZ8igWDGPoxZJ+BIPIkAzG7NjQ5WXXrvLmlw54/fUJnmiwshIQxR5h5Dlwx4ow0oxDxWhlfm5ODt9z6dVvVcNB9/31xv+cmvL/KQBfWe3ged4/vvULd7776aef3tSspSCKDZ4U+AnUYktNCfqxYiDrdCKPj3y5xu2P97h2T5d3vHrAG27oMDcdMBwFDMc+gecRxh5hpPNAKY4VUSKJY0mUCOJYkiSCxIhCaxtBrkqsY24pXLJIpcki3zMEfkI9iGnVx2yY7jOMhnzxCctffHmK+5+cZsb3uHK7ZeusZPOcz7aNkh2bQy7YvsLjR4d88q6NTCnNxilBuyloNyI6g4TPfqVGy7cI4YA1HGvedNOYz9znamI6fcP8imbHphZveVGf+5/psfeATzOIUVI4kJsGo9Bp/e97ZYdLts7zkdu73Pv0NMdX6mxpC6ZqloZvqGmD74FWAiVJE2Tuc2flRyaVasYUK1ycAt0RBESJIEpSYCeCUSwYxIJeAuPQEIchzfqAt7xmmXe8usu1lyRsntUMhy26fT+9Vilrp+B2Qa1mMFasHtq/Cf2Vd++54kWm3+t+oNn6xoP8GwrwXq/DykofKcT333nn3b92221fnOt1V2jUpMs+SouWFh2Dp8CPIZA4oCuPoac42fU5fV+D+57o81dX9XjbK4e89qYRs9M+4ThgnDOCJkqBHieKOEkTNkkBcGNT5jZFYkEImwaVro5Da4PvJQR+RD0IadWHJAz5wsOSP/vSNE8emUJEAefPWLZOWzZMKzbO+mzZINm2MWLnli4nFnr89081icd1duwQTLc07Sa0GxHCC+kOm0y3LEIIrIUolswGitjE9CKf3iBhpas4tVDn8gta/Ni3r/KePw84ttBEqyi9MTRxXGMUSrbMBVx3UZerLujz1LFT/MWX69z60DSnO3WagaLlQ9Oz+NriKdDSpfOFqFbXGcAad9MlRpBYiBPh/PNEECYuSeRWXBjGljiOMdGYudqQ171qlbe/qsdLroyYqmvCuMlKJ0hBXSaiDOCZa6MYhorBsMPKg3dsCiP5a3uueH48P3/6T3y/yfT0N25+4jcU4OPRkLnZ5psffuSR373jjtvbw2GPRk0zCh1/uoDOOSM6Tl0LafETQV0JBolgoAIGscf8uMbf3tfkjicHvOC2Pv/sO3tctrPLpmlFu6EJI8cQTts5kCcZwI3EWIm1ThLYPKBMU/3KumSRjgn8GE+FdIcRC92I3/p4jSPzMzy8dxprfObqgk0bLBumBHNtxdy0x+Y5yZa5mO0bB8xNr/D5RwwPPT3NVTsEMy1JqyFpNwzNeojwxgSBRiv3962FJJHprJaI2Ah6Q0Ovb1nuepxdanPjpX1eePkqH7mtRn1ZoWXkAGk1ceITRq7Hc8N0jedf2Of5F/V54GWnObYg+dCt08yvNji5FOArSdMT+JkMky7wzIk8kyo4Jo+tIDYQGcE4gVEMobGQxBBHSDVm28yQq3a563H9ZQntuiaOm3R6AePIaW0HbAfqKFZEkUoBLlN70hkFUSzpdXvceeftc+NI/e4VV12zMhwOP/mNxOQ3DOCHDx1kbsNmdctn/+qi/QcOtkeDLjVfI3CJFIFL3igpCjZPLJES6NjiJxAkloYSDJVgoAOGicdSWOfWh6a45+khzWDMP3p9hx1zMedvG3LjFT20cC1iQji54rKSrlba2hJzk/rrwnnmlhhkzFNHJA8+o/n0/S2eOt4ijBu0tGJj3TLbtMw0rPPB25rZKc3ctGDLbMy2jUO2blzhjifHvO/Tm9g6rdnYhnZT0W4KWo2YejDmnv2KUajxmg5U1grCWFLTimsuGXLfE9Ou8GmYsNr1WFwNOLc4w4+94RwnF5e479GNeBIQEQZSALmCtP5QM9OqMd1u8sJLBrzsqgHveMUCz5wwfOb+Gvc/U2f/4Sax0IzHikGkUHl9TznwTHMC1hAbizUGTyRM+SE1Il54bZ/dW0fs2BDxzteOqfuSZt0jDBt0eo6tHaA9Jxkrh0ztSOfFO0PAee1hJEiMZHW1w5duv7N9+Nipi975vd+tDh48mFx00TemnvwbAvC9e5+m2ZryH374oR/s9qNfn59fRmtFYgxGuxqP7CEFKYsLdOJArqXTfF4K8poSNBLB2MAo8RgmHoOkRq+X8GsfmcHGEZs3jrh854i5qZi3vXLIzk0hUSRSvS2hxNyk+lNKg5CCj91e5/FDTYTWHDvd4NS5BrW6YioQTDct7ZqhXYNWXTDVULRbipmWZm4aNkzHbJ4bsX1Tl8Su8rG72gz7TS7eYWk3FK2GpFU3tGoxnhfy+ftqjAcSb5PrFs0kSrOueN0Lhtz5iKE/lvSHCd2BZrWnObvU4LLdLd72ki4PP9Xg2HILJQ0QpXrZI0ocE45CSX+k6fR9WvUGzfqYy3aMuOHSESfmOxw9s4r2Eh47rPmrLzcQyhWuIWT1IloDGLCWKEzYtTnm7a8csqGdcOkuy+Y5SGKPcdgijj1Wuh5xpIgSncZBDtAZwF1MJPPAPwN6FDtbN0p99zgBKRWdzjJKJL/+yCMPDc7fff4f7du3N7z00sv+fgD81MmTLC4uXHL61Kn3PvjgQ1JKJ/ikkug0XSyEcdo3ztwLS5w4kHvK+bBe4jRgYCy1xLogx1jCRDA2knEiCY1HZGCh3+bLjxssCX9zvxvZgDXpkWXxUossr0iUSKWII400Gk9LWgHs3mhpeoZGYGgE0AgEzbqkVXdyaKolmWnD3FTMxpkx2zb2SFjht/66xt1PbOLCOZhppOzdkLTqMY16SLMxpF5vECiJkqkGx8mBKPIYDQXDcUJvrOiPDL2hcS1zTZ+T56Z48eVjfuq7zvEbf6U5vhoghMHaCJPY1J2QjMaujLU11DRrPo16jUbQoBZEtOoh110c4nsR118c885XDdAqTpNABiFsVZSnks4YiRCSwFOAz2isWVrRrm4nyWKeVBamQI4TB+o4D/gLZyuORf46zHz31NZNEneNtIRHH3lI+r5+72g0ums0Gj35jcDm/zDAP/bXHye2on5s/8Gbjx45KApAOQvOKuHS8Hktt0Uql+tRsdOGcQI6cb2PcRbRJ4LY2CKyN04fukMQGklsJYnRRCYgSW2v8iPPUgrQ6Un0FNTqlpq21FRC4EGgoeZb6oGg7ksadUmjph3Am4LplmG2HTM3PWbTbJ9tm5Z436cNH751M+dNKza0DO2motVQNBvQqCe06hFnlgyHzgTUfHdDQ1bpJxiFmt1bDFs2jOiOfIYjm7K4ZLWnadVrtBrTvPNV8xw+c5Y/+OR2tNRYDIlJiI0linUesA3HkkFN0hhp6oFHPUjo9FyM4XsJnk7wvAQtXaOElC6dL9LDla4IQKQgF3RMWmVpXFyTJBJjJLEp4p04ESSJA7RLHqWZ0qQAdnZEOdDT65s4L95YB3IhBU89+YRIotHNF1xw/qFbP//J4Wte9z/WyPw/DHBjpH/m9LmfO3nqzM8NRyOptXKkkKXQkAiMK3uVFiUsyjg3JZYZmMk9a2dXOU82ybJuxpV/5mn2tFLOebkiD5TKmjt7C1K4wEpLg5akNS3gKYGnrfONtaAWSGq+pB4o6jVFqy5pNSxTzYTpVsxse8yGmQE7Ny9x//4xH7l9GzO1gM0tQ7shHLjrkmbN0KzFtBpj7t8Hjz3T4KKNNtW9Rdp8OFZcf6nl4p1DHnhymsHYMhwl9Ic6BblHo1anXpvmu1+6zGP757lv7xawCmMSVw4bW+LI5vUkw7GmMbLUa4qabwh8j8BPCLRB6wRPuxLjrAxCSkc4CIso2kpKwblIhymljpTJ7NeSFZsB24gc7EkO3irA43SFjmNHVEmS5SkcOUkhCcORXF0+9wvduYbfbjR/GQi/aQAfDgdyOBz+4p9++M//5cLCOb9Z95wdhdObRohUc0tkYkmkO1RiiZV7TozT4e7EWUx6YpI8+4hj5xTkJs3EZckKay2lzHtlxc1S1VlCR8k0Y6koFW257F/gK2qBoh4IGnVBq25pNxKmmjHTrTFzU0O2bVzhvn1DfvGDmzl+cpoLNhimG9CuK5p1RbMGzVpCvRbheyM6I1cN6SmLlMU7cxdeEsU+7XrEIDYM0jrrwSihN5B06opGL6AWtDh/S8Qv/WCH//DHkq/s3YxFYawhSQxxEhPGhjBSjELFMJDUx4qaLwl8S+ArAm3wPOf3a5XW+SibE062ulboIU3t25REbFrLkqSAT0zx7IhJps8iBXzpdexW3QzQObhLGeb82gnByVNn/KDe/JnvuPnbvOFw+K56vf51p/O/boD3+12SJPrlRx6696e7K6dqM23PZcyy2gdSj9UIpBFOcxtnESYZuFWaSVM2Z2nXg0kObufRgjXWdZGnmr58ZH8vO0mpSkoDSydRlBQo5SSRTlvRPC0JfDcAqBa4kQz1wNKsGVqNhHYjYqoVMtsesm3jKvc9M+A//NEG9h2fZdesc1hadUmzIR171y2NWkKjFhElIX96WwupFJ60KFHYhMZmS7nH971mhVseCumFAYMU4P2hotdXdAJNzQ8IvDaXnhfzn35oiX//R4J7n9yMsZLEuLR6FLtCs3FoGNdcuWsQCGqeIPBdZtPXNs/YamWQynnjriy5BPAi5QmkJILLJTi3JQ3kMwCnUwdMnlwjZXfyFfe5gJ1d7+whEkskBE/vO1abvv3Of/HKV7xcdLvdn2+3v74k0NcN8DOnjmCtfeHhA4/WfRXhK5mDLANdGaCJEahEVEGdWIwqgF1maGOK9iv37whXR5GBOjvxE+8rA3hWg5Fl8jL21jqrO5F4nnT1G76gFriZJ40goVl34G43Q6bbQzZOd7j/mQG/+IFZnjq2gR0zgrlmSZrUNM2aq1+p12LqQYjnjTm1NIOnBEqa1JYrgswkkcSxYuuMJY4julEt7ZQxDEcJvZGkPlDUfA/fq+HpKfbsiPlP/3iBf/uHcN/Tm0iMdABPLFGcpExuGAeGWigZ+SqXYJ4HnnYSzdWpOPdKZt54+rwOxp1cyQgLkSeHTJocyrLFSVJKGpXqXUySyVB3/Vx5QOmwroSAElnF/ZB7v/JgfceOnS8UUvL1Pr4ugD98/y1gwsZD99/mJ9EqjXqR+s1MjIypEgMqA7pyd7eRwgFalz6sLd3RuQwpnYBMjmSvn+W9SVEUUUkJUooc3ErKtFEikydQ8yDwDfWapR44/dyoR7QbIdPNIRtmOjx0YMS/f/8MTxzbyLZpxcamYaouaNUkjZqiURfUa+7mcKn+kPv2Cvojn5oivcnS1c0WgWYUa5o1xY1X9Lj/qTaDyMmU4ThhMFT0AkXgK3zPT/XzNJedZ/iVH5nnZ38f7t27ichIImPSZumiB3PsSwLfOPb2ijp6rbKDVKYUMk6mWd71QJ4lhWwG8BTwSe68UF15M2mZTBCYyXpfbYm8bE5eefLJwLn5Ff7yr/7W/45vf33j45/47ODmt7zhfz7AF84dY3bDjukH7/nEf8cMX+rrGE9JlygwogLu4gOkwE5Bnt/xBowS67N2CdD5zWOLpmBS7Z1fDOEKioRMwZ0WGakc4K6R2dOOyXwP1wnkpwVWQUI9lRet+pip1pCZVpdHD4759++f4bGjm9gyrdnYMEzVoVkTNOuKRl3RyNk7oRbEtBoj7njMZ7VTY2amSJNngDGpNo0SxaY5xaue1+eOB43roglNCeSSmiepeRpP+2hdR0rDZedZ3v0j8/zs71vu3beJyGiitALQlb06Jg8imVcX+lqidVqEJQVKi1LSLZNzokjni2y9qSaEJg9Tejam9FwCb2LWMnb+84zQSiSW/TtxnOD3hi/dd+DIH37/O9/64wcPHV296MLz/+cCfNg7TThc+NlB5/D3EC/QqHkYY3J3w2QFTqXXiRUYVSrTLN3xmfxIchlCzt6VQHKSuVOkZxm5XHvLrIKu0N1ZxaBWuPoMbfE811hc8w01P6Fei2nUIpq1Ma3GiNmpDg/vH/Nzv7+BRw9vZtO0x6ZGwlTDpuBO2bsmqQeO/WtBTCMIic2YXhgglMTLGDzX4OmNblK/OPJo+iNXLhDWmMlAPkoY+I7BA1/iaY2nsw1oLVeeb3nPj5/j3/ye4d5nNhMZzTgRhIlJWVxQiwyBZ/E917uq07hDK1cirKQsel4FiOy5VJiV35jlWGcC3DkJlYipwMBzgDr/HarEVpK2R08sUm8c/p677n30UBhG//Z/KoP3u8dotHbs2vvg718lkuO0m5bYJEVx00QFX5KDvAx8kWux7PdMvmxX5U3BFEVW0pbXzIy1y0FlttymHToqDaa0TjuD0iKkrHqw5iWpbo6o18bMtAdMNXvctzfm59+3gUcOb2bjlGZjPWGqZmml4K7XnJ2YgbseJNT8mHYzZO9Ry+0PN/GlxFMmDeIKjyK7eFGiiI3m5ddFXHRBn0PH62xsUPQ5jhMGo5SFtUJrL+9yEsJyxS74lR9d5N/+vuGupzYyiuouGRZbGmkNd+DhQK6z1cvkva1SJfkKp6QoAVyUQM4avVKA3FYBnlcoFitvLkFyNif/nbUAL34nO6JE8uT+M3i3PnjVu3/hR3ftO3jy2KUX7fjGAzwcHEf70+evnrvjN6U992ZPdmnUfKLEplV8hS9aZenMR7UTz9UlrbCjSpF72SVZ45akzD0J7iyRlGZLlUznp6TM7WuD5xkCzxD4MTU/phaENGpjZqcGrPQG3Pkk/MqfbeHxgxvYkIJ7um5p1QXNmsi9cue8GMfevgN4PRgTJgmjYY2acjeZFKWln0yzijTQ1E7L6zHj0DKMRAngBt9P8D2N50m0Uijp5QBHwNW7Bb/y4yv82p/H3PvMHKc7bUZNyXRiacWWWjpxIPBs6v1nTorN2TuTKhnA8/ebvukyznOFmF4Um1+rUvltSVIW19ZW5UvO1LYUqBY3f5zmQaJY0O8MOXJq9c0f/dRXkle95Hn/Yu+hM0cvu3DrNxrgB4nHjRvG3cdujgdPUK+1UFGEKqVok0SSKJuDOrFlgE+CPVuus7tblE7MWoBnp7isCrOL4MY9FHUuWSlAMRzIlcV62qRjJpIc3IGfgnu2z8LKkHf/aYNPfmUji/0ZNk5JNtZScNec7m6kgWU9kDQCmzK40961IARCvvSoz0rkMxdQqcdGTATgiWt+aAeaV1474L59Ib0oYCrvWDf4Y1er7msHcK0sSnoI6RI0WNhznuQ3/lmXz9w35Jc/sJmTizMMpzXTvqAVGxoxBJEbvewrN9DIywJNKfIgOHsuB+rlG1OIvFckvz4wISEzYFeYvaTVS3FZmbXzADUHeFaPDpFV3P7gQea2bLm52W7+aac3PPoNZfA47qFU8+Lewm3/fNx5CN8XCBm76sDEEssC4HGe2i0kiTGyIkcKphZ5vbbFFjbUJGuXZUl6ojNmydLNmQugMoCrtPY8zd55Ou3v9BJ8L6bmRwR+RKs+ROsBdzyW8IefbfPpuzcRmjab2oINNSdLnAWY+eQqPUTK3GX2jtB6zD1PTzMINVsb2fuZZPAsyJZEsaLmKV542ZDYOIAPI+G61rPO9bFxwaEWKYu7G1mkyXWLYMO04Hte0acVnOYDnx1y59NznI3qDGqSdmxpautArtM4RNk0LskqPLNzKIraceny0Nm5ntxRMJcq2YgKJrV5uXuIIr4yJUbPk3hpYGmyRJhrO4wSwTgRGKH53J1Pc9N1l/zzH7j5pkfe2B0emG7X/8cBfseDRxCdv2JsZ7fZ4VMvU5wj8BsIESGEQcYuW6fSrnWdSBJrXE12kqV6bfpcDiRFVWuTAb0M7JL1ULavhJ2QJllWzlUMutFuJq35TsGtXC1G4EX4fkTNC2k0Rvj+gD+7VfOrf7KJQwuzeEGNLS3BbJDQDizNAJpph309cNnOWpoQcvUrSboSOHmy2E3ohz6+UvjS5gEmpY+S3dhZ7UYYe9S9EVumh6wOWgwjkY5bc7GC5yWpzadSu1M5gFcCV1f5+OaX9Ln+8gV+5UMjPvz5jSzHTQaBR9OTtLWrwQk0+Iq8GUJnSZ905ZO5VCkSQGVSqYqVMtBZdwXOAW9KoJ5wXvKkUKneKErSTqJEMERx7uwqn77r6ZetDsNtx870Dli7FyGeu+LwqwI8ThK+fPA7zpfhfe/bou7mvLkRg5FCYJB4KbgMUigS6SRKYgQmMRglJ6RJmvK1Rb1D/uEpgkqsWNfnFtiCTWRWvFUeEmRR0iArzJ2kII/xtZMkgT8m8IYcPRfzB59p8om75jh8boZ2w2O2BjNBQiuwaeo9A7dMwS3zpFAt1d6B726cdnPMx+/RHDhWp5ZO4MrbxShQno9xsGmhUqzZswveeH2PP/zcHP2Gpp3OHgnCNG5QBq1lOraOEsi9EqW6VWHnBsnP/8MBV+0+ye9/epbDZ6dYjusMPE1TCRop0H1p3Y2Tukz56ped18w+xOnzItNp1/rkGTFlpRN2bSxVZvEC5JnTltUhZR1FEBoH7l4sGCYGG8cc2Hc3P/9D2953zeXPez2281WlynMCfDCOqPuaP/nbB3d8+sv7L5w2fX7nn49JjPvPhAARF8ByY9DcSTZKYoxJ2SoDNhMgL7G3FZSSWSmLZ7RtKzowA3ZenZjNUpEmdU0y9k7wdOw6d3RMEIzx9ZheEvLej/p84DNbOLU0jVF1ZqcUs75lyjc0UuZu5Ol7mdappNIk9c5zcPsuezmOQg6cDOiHATNB6uJkSafMlciysLZUkxJp2k3N7h0hKhjRC1sMfUE9sowzgOskTdQo52PLrAR4veBVsXFqwI+9ecDNLz/LBz7T5Q8+NsfisMlQ16hpRUML6soSxNaxeVajL4vyhizLuYbJWUeuTDosVJm8ALco6fM0GZSWABTOiSA0MDaCfiIYJxYTh0Cff/jK41w8fd+FdtDYIRovP2qSEKn8rw/gh4/Ns3GmuXGm5X/0r27Z6122dYoHnhlxw2UjjCkmUcXSIKRyIDey0ODWlcpmbOVkSQnYOcBFDuj1M5S2ZAfaHNgVeSLTKjmVzlXRCVol+F5EzQ/xvZDOKOSexyV/dmubj901xyhp4fs+c75g2jc0fUsjsDT8Aty1QBIEkiCVJi4xlDoTKcB9z2U+j5yx3PlQgzDyCJp2TYCZPfI0dxqvhJHC8zSvur7HR77QZ9/JJsOaawwYexY/Bi8yeKFBKel8a+kGkubDfShWxMRIYiNpBJrN00P+zXcPuGznmA/f2uLBvVMsDJuMlI/naWpaUJcQZAOWMntV2nToKSWQV2tWJouzyoyer8glBreT8qSc7reOvWPrWuZGxk1fGBsLJoLRiJuu6PKq51uS3v3eqPEPPqrV6vNs0ln4uhn8ioub8rEnDt3wgb+4Yyoajjl9RvPUCcWLronQ4zAHuBDGgVuqvB+ykCVyQm+XjgzYFZCnDFEicFyPjmPyPKVs8nJPp7stWiUO4CrJ5YjWEZ1+xN1PCj74uTa3PjzFcqeFrNdo1RXTnqXtGxqepeFb6j4pazvmrgeSmq+o+YKaT1qhZ1JwGwLP6W+lx+w/Cac6NZdYSfVtNXFS1M+4PkgH8thIwlCzuS24+LwhTxyPGUQe43TGtx/iwKeyybpZogbkRGdOWRK6Om1XH/72Vw157QtW+OIjPf74820e3NtmqdegI336vsZXAl8KAonr4ZRulzoliptUibTsdx0GX1u/Ur7xqrmNxGaxSIm5LURWEKXMHVpnFWIiMGMII67YGbJza4IQIzpnPzO1ir5hwJWf4zmGBz23Bk9OB7u3jH+vrR9rMu4j/RitLYgEraIc4FIYEuOK6FUO8LQv0si1wM7YmyKQtPn/lc5cRZpYygX6TpaYVHMblEzcQPzMzZARC72YOx7SfPbuFp+8c4r5bhNRq+G1PNoapjzXyVP3SGUH1H2RHjItOU11ty8IMvbOAK5jfD+m5odYG/GlhwOOnamzYVbgSZPqWFE0+pbYzpYSY0miGI49dm0WvOraAZ/4Skg/8hhGgppn8WPH4uPIllYplfvVCFmRKTZfOdNGBeP89now5u2vGPJt1y/xN3f1+MzdDe54vMV8p8FQ+Ax9jfYUWgg8KfCkxBM2lVoWhShJw6p9uA6Zrw02s/LbDNwpY2dHlDY9x1lRk4nBhO6wsZvhrhMa9T6fu/2ZZmPLd/ye55+5DBj+nQG+3DEs94bfO+7dPv2zP7AXG9UJR5IXXBpDYlCyBHCpHLCNIjGqxNqyqrepAjzrHrFrhImoBpQlYAthUjvQIFKAa53g64haLWI0Tth3Co6eVvzFbVN87sE28ytN8GrotkdDSVqepaUNdc9S96DmOXDXPDeT0JWZytIh0p/bFOQmB7nvufa0Q6cNTxwJwPPSZd6WUvSigoKyLk2StGY6ceOcr9w95vIdfZ451WBYEzRiQRBZxorU2jMpe2duSmZBFlqlKHRL4yGj8slSo9CjXh/zA68b86YbV7nloT5/+YUGR0/XeOZUg3A1IA40I62Ryk31VYBOnzMmz6ULRfA/+SjHVxmoTfo6LmnwrBvLkGZ7bAI2dgC3sWNxnfDAPs0XH/QZDwW//Htj3vH2R9kw13pOjn5WgJ9d7IpxFP7Uez94YPrCrR5vffWIqy9OuHhXAgI8ESPGbgxDIlXK1KrC4BmTZDaWRZSagYuu94lOsxQLtqT5XFLDSRKT7vKQEARukmqcJJxdgtu+rDl0ss7t99c5tVLn0OkmBAGqoalpRVNbmto4F8Fzg/NrnhvX5kCcHTI9VApwUs2dgttLCDzH3u7GCjmyAHuPNvBk1R7MJQpFPXgedGVOisl6Gj0u3zXk4k0DnjwcM4g9WpFgrMGP3UxAVQK4lCLfICBjcpiw4DIZlPVNJooo8Rh7Pu16yPe9ZsxLrupyaqXLlx7wOXwi4JaHG5xeqpEMPYzURL5CSOlWirQrX5JmPCGXLUwswOWSZluSJe7Zpo5Lytb5kZSO2H2IMIHI8NQBxbt+p83VFye89aVdXnX5lza89DX/5p//9A8eeY8Qu9cN354V4F+596+J4oTDx45x6FDAndpjrmm58dqIyy6I2D6bcNGuGN8mmMiNakiMynW3NRKLzJtYqUiSDOzFWbHpGcl97gpzl6SISvCChCixHD4heOKw4rb7Gzx5xOfpI3W644BxGIDno9oegRI0FDS0oV7ygQOd1WlkZbOuLjxIZYnvK3xfpjeALbS3l7jMoud0fs2PsCbk3LJkbAO0lvjSoks22wSB5yBPbLXfMYw9BJqNsyFSjehHHgMtnNMRFQVjWplKBlKKUhSbDTuikIdZCUWWjPMSlY+fGIx9tsyE7Nwccd0FY4bhkH90pMOTR31uu6/GE0dqHD5eI4oVBAorFQhJIkvZoHIyfwLglexW/pz5waYKbpJSJsiBWgvDhedHbJuNueyCmJuuC5ltWAKVMBycbd5x133fg/De83di8IVjf0MUrqrVxYfEyy8/w0CM+f0PNXnvnzX51N2GKd+y87yEK/dEvOb6Ea+8JgRcY2u9YdNJUhKMJIkKFrdl1qYaHLnaKffhhXR1IwiDkJYotAxGjtGPnpT8+a0Bg0jx6NM1Dp4IWOz7jBMftA/KQ7UVvhTUFTSUpaZw48xUWnikHGv7nnBJjzK4PYmfypLAh8AndU1cytzTBt+L04xoRL0WMr+ScNu9LTq9gJkpgU69+KzoSzzb8l2q1UmMZDxWbJhTvPbGEbc8OOR4p8nQk06maPBiixdlnnXqscvE2YWUZ53I/G8Yq0t/wwHdTxSJVsSeG/sQRZ6zUr2Iph/xkitjXnjZmLe8bMT+E5LH9noMQ8WHb2tw5KwHQjIYapJQZeWbWJ0tvROWUQXgmQ9s8q9FbBCJxaZgrzcSPM8gMLzy2pDXXD/iij0Ru85LmPItGzcbfvfPmrzvT6YZ2Ra7Lz0hXnHDVer3PnRL/E++77VfO4N7/tR7pxvdq2dalthPmJs2oCQLPcWCFRxZgnufgI/e2mLjbIy1lmsviXj7q0euYTiBjVOGa66MaNZS0FuR58DWXvNsdwdLZyB47HHNUldSr0nu3+vxqbtqjCLFKFKcOetjhCayHkZ4oDUi0Ggp8ZWgJi21FNiBsgTKuhpwnXq+umBuP+vLzMGt0h5NkbO37xl8PyvQSnL29v0IpUK+/IjiE19poXzt7LaK/n52Bs+88CTvTFeMRh5vumnIJ+/p8uEvTdGPazRTHe5lOjzKkjI27xYSQuYAc39KlrR+CeAmHe2gHZN7WhFrjY4TB3SVoJQbpD9Ti7np0pgbL42wYszbXjFgFLlxbn97V8ADe33qgWCxq3jsSZ/uQKYqSax7hYskgEvjN2uGa54XsWE6cY0vieXtrx5yzSUR1sDGGcPsjMFLSzGsARHD4ork4OmAvqwRN0ZX3/xtrfdaWHfQ+BqAx2EH5bXbvTMfvFQHHSVFzONPeXzy7gYEaXmckBhgbOFcx+Pcqnvj+49bPvXlttNWiWVqxnDD1SGtuqsJXiO2JwBO6jqs9hUPPuHT7Siklm4mitWOmYR2G/dIDVIjpcSTwoFZWgJp8KUDgq/AV8WMPgdyUTQ8aNcIkDUel8HtGD4tq/UyBk9KR0ygI6wNObXoE45rBFMSP017q7Qqr5LFFBS61BYZ3bw73SjCyGOmpThvQ4gvRgzjgGEsqGs3KCerIckSWkqWy1tl/rfc38gkoimSLMaklZ+FNIrjJM0bqHT/o5goTlCRyyVolSBlzI4NJl0xDJftHBHaIVIbOh3Bg09oVgduBuWEx7vWQrCuHrxZs7zw6oipGYON3X9TT5NN+YyWRLtAFBAYFAlvefGQT9814r6nAwa9oTqxOLz0l3/6ze3v+vZ+d9NM87kBrsQJSPR7bPjwK7rhKR45oPgXvznD4wcaDiFSle7Qak1CbA2dzO+Tlu6q5cyXm6XfWT8B756Kf9MKgcm2XCC7qVQR5EiZWlkZqNO0syTduDXzjUvPOu2kV6Rb75GD27V1KfwU3L4mLzF1DJ6yuDb4aXbU8yKCIOLEouFDtzRB+25yriwleCrgqxJZxq7ZkFAHNjdYJ4w83vnaIX9zx5Cnz7XoJx6N2G1K66oAbdGJo7KcQCnYy85lXgMiSwVe2WHyWhitFV7i5qV4KdCVLJJmrm48fS1MOjgoQQuLsAkbGoZ/8GIDIkllJiDMGnwUn79cmKMwkSaLy0wsGJcSf2Xml8KSmIQrL4x5779e4l/+JjxzKOa+R596xf1PXvueKEr+6Vdl8Psf/AuklP5XHjrJ5+6a5unjDQ6eDDCBl4JMFYFF+U4tb5uQv7YkXgnYudld1mgZu2UArwYvQsq8BU0J8IRLKwfCVQt66QBPN8gza6otFRJpSnNQSHdmK7rqC4DLXLYEvs1b2nzflAbnxHgpe/s6QsqQY2cFC90aQmsCSUWeyPLHKl3usnSoAC91OsLYY649ZteWIc+cHTNMNKMEgkTgJRYvHZjkpoQ5Z6lIoatKp0J2yt2k3aybXZSkkUEnhkRJlM62L1dpsVqCVCZdKUxhzaYgF9nfxuTbz2SuVx5PieL6l736ye+WZ9oUr6s3iJvGZVBjzdUXxLzvZ5Z44ugqD+6XfP425Xbv/WoA//FfGyGF4MDhOVaX2o49fZkyt8yqnEoAX4+cv5ocKT2EcMtqfr8IJEWK2E2lAk9YPJGCNpUA2ev8eynZF6Wg5A22vhIO7BVwS/fsZ0DPgs8U3Fn3jza5RPG006e+HxET8Zl76pxbqONNKfxyDUfZQane0gWzlvRxOekzGrsJtm94UZ97Hh/RjWsMtKYeG8I0na5kURCVFZy58XjZX8oCTUElRW7SmSoWEuX+pjaCWAl0ItNd7FwtT5wCvUimmTzB5grsqrkJIQtwZ9buegVaayBvJ3+6DkwociGJMIjYsHuL4YLtMa++Zole+BRgeddzAfy//sltzLRrL/7dj9x9/SgZQivJDVxBllCo1jZ/vY9ckGTJAgEqexYWDbnVptKUsZtvUmhclQFbuv3ks1EIZWDnc1AUrh9xPYBnAWemu3UmS2yqt6u15L4X4XshZzuGhw/WQfvoVJ7oUoFSlu0TEwh3blKp6i5v5ZO5Jx5FHtdeNGZuekhnpcEgVjQUeLH7LCpxtfgqKgMcB/L8D8mJSk2RlqympRTK9dJ6RpAoSaIMiRLEKcjLxWtZOYTMQF4CdVYy4SaYlaze0sSsQqI9h2T5KoAprw5CuEI0AGM9An/u+trcG1+8cuo7757Z/h3rA3w4ijDW/gNpk2tsEtHwvfz95IVN+QS79e2vr/o+U4WSipH0ZrF5VqwAh80ZfLKEU2e1EWkNeFbq6ZqLs04VJ0tU3r1SADtrvnXsnWpuTa63M0vQMXYBbi+vTowQRHz6roB7nmwhA40vhZu/nVcQFm10BSFMZjNFXm1p8kYRlw0ejjxuvGLIG1/S4w8+3SJMAvqJpJZYxulsdV1eMYRJ5ZyZuKGejcnBaJl2vIsc3ImSKGUco0uZjpbIdrwzJYCXgC2rZRQFENPbWRQX/+slxkzbF/Kn+IwmifGkvYak9w+w4d3l/y4H+GP7T7Fhpvna//qhL/7Do6cWmfIlWhX/aJ42/zrBXf71cmYvT+hQgCFPAWcgL402yJjbbUGSfU3K4ORtWBUWT7thPFUFtxunMMHcac+mn7a3eTprOIhLR0RIxF9+qU1iA1SevSwHmEVfY+ZsVDQ4E+16aYOIm+2nSBKNwOPtrxzwp58Zs2oihkmNYSLw0h0yVJKCLBZ50ZmzCye1qCxZk6JayafTmSUqBbm2KOPkiptA5ioYXfZY5qXJhUVZru4sypiznTTW6PDnYvLnwk4pjskBnpcIKBifw5rlf9je8pbbo+HRW7z6+VWAR2HEaBhe1OsOLux3ekw3vHwz0RzgJfb9u6K7HDbk5ZYZkwvyO75oHq6+ntScGejLsz2UEoUWTyvuKsNuUmBrJQonJbcDXce9a0y2KXMXAaYusXfghTx8UHLgdA2rPJSU+NKgJ+s0SgJ80kXJjrzTqVRSnDkqUexx4baIyy/o85X9dSLlM4wFNQleYtGxSOVb2oUTpzo8G3ha+ZOixOKiJI2ylrHMXXH1Ltl4PZVKvwLcWS2QTcsEMiYnXz0ycOclFpNMXgHp35Eky3q+9O8m8YAoHFxoktFFxkS3ZP9NDvCF+WXGgyF2PGDKt9S9apPBmj/0d3lj2Z2xjrzJQV1+LQotPjkKopAswnXPiwLcLsgUebe4zsEtKwAvD/9x3fbkwM6zlTlzJ/jaJXZcV1CEJeKvvtRgaamOCLTz3cs34YQ0EeUTV24CMFVWrXjTRhFFmg2zku96VY+HD7YZJzUGyqeeOC2elbMqSQrubK0wqSeeFeYCyEpZsp1sJaxM8pUok61INn/tgCwrWlykn9uBWq5h8KJ+vFoZmuPhfyCYy4lXACZhOIypDZYwcVFcmAP8vR/4JEpJFhZXmW4U8qT8+Lvec1UpM9mVMylTijt/EiTF5KWiKbY8czAHeM7imVyRKF0FuK/TAUBetnVgmuHUFi9PxZv0dVI5tHKdO08fcxncsfRRUqXZy+qNOJnBnLyO5ZLSqg5PtXiiiBNNkGi+6zUjPvi5AY8frhMpj4GU+IlJ3SOBTGzp/FjXXiZKtm0Kcjuxb1GZyRMDOrcQ3cRflZYEqMQWwzrTibQia1QWEE/o8Vx2TgA8n304wd5/Z5DbKhZdEVudxXMH6K4uYEt2oQY4fPQUu3dta/yrd/233UuLC9R98k6R/N+0lX//a0J7Bt7sfq22O9mqRJkIzKoSReTAmRyHLEuMnQWZ2dQmrbNNXlPtrSbAnaXvvawx2biZIXmLWNbTGadHhPJCDpzS9EIflE7liZ0oj528casIrw40mvDC026cIvGjaXqCS7ePePxASGIChsanlriabZ1qcCXcRq4usZSRiYG85ie76OUKT5f+1vlgU/c9ZSCRDvAq3Z1CmmJCQDZdK8m6+3MDoAgu88Bz4npPArzQ518N5cXvVBxoC1YIsC5gDpqbdl9xw081eqs/OWhNb3MAP3HyDCsrq6+5YOfczz786JhG4GBZHpVWAbj96vheT95MztgQpLY6rJEneZpbFGztZEt5qGYGcooaaVUCtaruYuwpUi/cgdsBuBgK5JXlSZm9VdrX6Ycs9wz/9a9bLA1riMBz8kTayqpSDM557stWmSaQzYnJGdw5KnGsaTc0P/HWHl98uM3S2CeUmqGU+Glauxj5kDJ4uZ5eGLIyWotJwW3ySs/CWREpg9s8SM/ArqRIGdxJoiR3UchlSqHDi3bCQounoC6/fhaMPBe8yzgsSq4zyacwo4SpzVt+dv7MvrvjaPg3kDL4Y088TS3wOX78OL6K0dqvDEQs68b8j30tekWs/RCi9H0xwXYZMNycvBLYS9Ik65DJgS0FUhXjx1QJ1FpKdCpJdA7wTHObPKj0tMnB7ems/qLK3p6K8P2Qv/iSx1OH6iA9pJQEWWlsydrM94hPP+SzVhNCNeFjqciU2Mh0kyePKy8c8OaXdPng52oYHTCUPoEUedJHSUFUCeiqTC7KTF4qXS7XxBgFyrpVwVjhwJ1NCTOQ5PNTRAHw0rMDt0gzmpPuWNVFmfz6OZmyXIiYve8Ug+Vs8DiMOHPmFGHskcSupVIDtBs+tVpAq+FR913wlpji7nYDXIqa7fyPfbWVxU6mqrPCfLtmoEzFM84DS1Gwec6QXw3gsgC4KtVQ67QuxSOXIp4q3BKvNByo0NyOvT3tplatdAx/++UWi50Aaql7IkrB2LNIFMoNASVyWNe2ywclSUySuSmambbi218x4JP3jFjqB4RKM0xkak+K1L0RRTO2zBf0HNjWFl0/Jmfz7BoLdOasqPS1TL+Wbipwdt7LIBdSlLrvsyGeqTSp6PFSL2e6yqwHcCFsJW1fPmcVgE+A220LY2lGHrEJiNPNf/W+/QeYm5s5/957H/yp+XNnqdU01gpkNp+7FJRkWbFJkV8R/BM33nqyBLHe0Eyx5uuMyZUgn5uXd5SXZn+XO1zccHeq4M52NsiYW5WYew2DZ+MmipETWrnM5ZGjgv3HahgChNR5c25RPViOH0TJ1SiuZLkWpWByUZInIncy8nazRIPV7NkVcuHWEUvP1LGJ71g8cTJFl1ycgj3LhV6p4M7KaCFtNBCl4BM3uz0Fejm2UcbdNEaSau/suhRklIPbiHSWSqbJxYRUKZ+XMm5sgfhMgpQxVqrEzPFYGhGYGM38/Dybtu75qcuvuvHRk8cPHdVRlDAYjLdEcfLahYVl/MAnSdyJqgzmKaWWy3/suVaW4q6sAjxjtXIqO0uKVOWJyIPKrHOlDOz8WZGOAi774OUj3dJalcFdAnm6X72XloZm7K3Sr7WOUCriM19pcWCxDn4hT7ySdblWcj33Clcdc1Y0ZRej7wotHoaaCzaEvOHGAQ883QDjESdOi3tJmt1NqlKpYM7ClssCz3xVzq9x+lqmr2W6qsjscOc+SVcMKVJWN9kKa0tEZUs3eTm/YSur2doEkHjW85Tr7Uq5MaVEmXOJBr1lhDCvTZJwCyRHtS2NvSVjH1X6gGm2bXLORfbG1q2pKkmS7MuCvdeCOvt6MkDLAC3WAXbO5kqUmnBL4E7nExbbdrAW2LoYEJSPeNMmBXns5ImKqDdCvrJP8TdfbjIc+dDQaCnwRFWaTL7/8mdd98LlIC/JFDuR8ElBHsWaqZbmLS8f8bl7Bty/z8c2PYZJgC/IbzSV//1CB1e9LAfyctLcBZ/pDaYcmyfS6XFTYu0sqDdpcCmNKOlvUQp0C/Mgew1p4otq8ElJqpa4uszpE/KkSrzlQUJZO6TLSBrAouM4JopijEnyxEimu4UFaYXLEWRgz/+geE4WL4O5zN5MgLrC3BOvcykiClBLVdq9QYm0NqUAdwHyrGzWonUxQlmnmzBpVQW6l7O1O5RyAabvh0RhwufubfD08QZ4HkKqFFTp3JBScClklcXXfP7s/GWsmblVpUymA7nMtXhmF4ah5rKdMa97UZ/HjtYZxz6J9BgahZ8w8V4yL5wJBk8dson3gsquscEogcpkgBRYBdIWejxfUSVIU5plaIpVIx/7JkCYidV7HcKrZsOqLDAJ7rXD9wt2jxJBHFuiyDVt6E9/5rMopeh0e9QDt1Oas67KU0HdRZCl6LWsIyv13qV3W3ZOJjOXFeYus3YWWFYCzGIHgkKalKzCnLEzgBeTU3OJkjK3Y2ybM7XOn4vXXhpcahUR+CFPHhPcck+DwdCHpocUWeUgJXtwnSxm6XNOslI2F5bUg16vfLaYa6Lybp9WK+R1N4355B0jHjscgPYZGYmfanFl3Ca7hUwAkeACOyHcjIZynbUqgKJVyVCQjs2zVSUL8o11YJemSLQJU3ZT0mtpCmavxlbu768BeGXlX5+51wN5MZ0gO3+ap598lKOHD5KYBN3prCCEIIpiAl8VOluWB9OXkxPp/V9h7+oCsyaAEAXgC7lS/eCiLEfyoHKSwZ3eLmczlUorDNOKQtfOlb7W5fngE+BODy+bQpsW+GsVu0NHeF5EbBM+fXedO5+sQ811NPmZPBHV4FIwcZS/WOdRPadZOSt5M3Jis7kmBdDHI4+XXTngDS8e8NSxGnHsYYViKDReQv6eRFKwePEW1mfy8hB7pVLwSMfm7mu3FWSmw3O/P2P0bLVNGbxg74lrXAo417K4XdeUc0CvEmsWM2S1NPmmCen5Wl7t0e2NsdaifZ3OvLCGRKdzNbIaBWHzO7ZgGPc2JndcWCNPJlg7A/oagJfauso7C1SAXZEq5TR96Uh3LCiAXjp0sQlqBmivBOrMOXGOiXtWKsL3Ih49Kvnol1qAD9JDCJV3Eak0bV3OuuasXV7J8mikdAkzUFFm7pIGt8KNn1bp6Id8n3iNtZq3v3LIbfeOePCQmyQQGcUgEWnBVwq6JGXtcpnEBBVZax2Ll4HuiD29CS1Gpvv5lBgzzyzb9G/ZUtyUSZJ81F52w1fb9/KSWlHEa89KBCnQq9KEUttfWnKQkF8Ia0Ar5ewsT0kSzwE8SYpNgxJjKGwZ62RKmb0zRs8vZXXZqXyAkrtQXbpKwE4PUfK8M4Dnc/LKIE9b04rNpmwK9mwAfgHuCmuXnrPG2kyqKBXjeTFREnP7/XWeOFgHzwPpgktf2NLk2HJgVd3EqUreVWjZ0ou8AaLk71aqCxM3rdeV0mrGoccVF4542Q2OxYeJY/Gx8BkZ0IkoAr8kswtdJrGQKO4NuMDMViRntoJb5a63srjspxUIK7DCydVcqpScr4r2Fpl8KQG+wt5iDQmuC/AMZ9kNWGFsivHL6YazQhWfQ7fqCiEFUeiG8yTGZaKSJDPpZWlbP5Hf1eVnKjNObIm9JlLWa6RJ1TGp7hEzUX8iyPfeyXcvzppvKw0PxdYlSk2AuzQUP3dPVILSJYCnEsXXEQfOCP74cy3GkQcNL5Un5K1pqrxLcNk5qdhF66y7EwxeuXj5FN6yozKpxTXNQPL9rxvw6Tub7Dvlbr7EKAaJclWGSZr8SV0FkaRjOSZWkoycygCXpeSeTDW6NBYr3TWyUjiAG1HEShmTm8IRq0pQ8klY5VLpKsDX1wMl067C3uV9ObOdlMPIYLBE2mKtQX3w/e/Z3G6q/7Iwf3JPNhEp+8TFUpLJifIuXCVdLERVTmQuh6x+XwlZkhwytfayccDps5IVy2/yyEYmlD3u/FkXuts5KFVwl/fqKYqp0t0fdJQ3M3g6JJEhH/xUgz+9ZRqCAFQNpTQNZakrm46jIG9w9kqtcUUmtZyIkhSTYakEqEUsUdiO2U0rJGnjb9ELqaRFWMN5W0JOLUoeesInFm7ygBEKIVwpbTXBUl1F81XFltcXUVlV8hvRFjdBdlOU5UxlDjjFLh3FhgaTscazDcefnGGZqoXK/pvVrqSsxDdOIIoN49DQ7UVcvOeqLdc8/8Yv6M7ysWlhVl5f00NCr5Z3XdsSKRvI9jsq3nSxypVvtspiXAkuK+xdliRlDZ4udWXWrtSB24r2ljkYCkmiStpb5Ts9lDaiUnZCkmSVghl7R3g6Yv9pyUe+2MDNX3HsnXfuZ39fUBkvXLTgVQNNUf4iB9AEOEwp2ZJfzPQiZ1lNKzGJIlGpFk803/2qAZ+4vcHekx7IECsko8RDk9aLZOc6SS9UkiV+MqiWpJN1X1vcbKzsvWUxmLQgU5ma6W5p3d+wJvXHTWpQrHFPWLe4bo2kLQPoWVY7k90kZQY3TnVEsWV5dcTZ+e7rjTg+raMoIkniyiSIbImxqQcuhK14jc/1qLgn6T+YD4dkHVlS1rGy+roMcNdFkunv0usMyFm1W6bBS+B2E1lN+uzsQKUMKvO7VYySMSqVJ4mK+dTdTfYeKLS3FNJ533kHzcTFK12w6teCyWtmK6+rDcgVT7w0kUob4WpTZJHCDyPNZReNedOL+xz6SECYKBCaRGiGQqCT1L7LVuG84aRkE1LUhWQJPGsFyjoLE5w0sdamWjw9hC1S/AKMdMA3orAQy1LUZK8Na6TLpCnxXI/JALNoHLFZJEFiLWEYMhqO0ccWIwbdhO4Aosj9MqU/WAwCcx8KWz4Za99Y8bqqtSeZvBqMTFYOlp8L1s6+zlg7A3vG3DnQVZnJC92tsiAy2+JEGrQshuYrleB5EYfPKP7bx9uMpEc2Qavomk9XkHINdOliVcz/r+FCkS/NjqbKs9SLQFPmteIZuBOjiROPIIn5pzf3+evbGxw6rUFFYDSR8BgKgUqKaj5ZDjYnQJ558xbQ2Q2Xfk9al5632JS1M0/cVNjcpn/HSPffVFbmSWMhO1XravGJ17Zg7+wdFxtbZd9zcthTklZdsm1TxNYtY/Q9j0vGA8FoEeamy8FGGpxQnIyMka1d/42I9Iu1gUTxvUlgT4I837RpgrWzREoV3KaQKLLK4Lrib6dgrvjdpUM6Fvd0SDc0/MEn25yaD0Dp1BqUqTyxFd87f836rDS5z+S6QIcSe2eNB+UezUxzyvzImyGkIok12zeO+ZE39/iVP/bpRC4gsFYyNsrZhkn2Piwk2bWsgrz4f/cTld6F1pIzt7LkbG6tqz/JGdyWrp3FMXl6Lsw613o9P7wM+MqjdC9OJhpzm0MASqCUZm7a4wWXS3Zss+gLNmlWlhWH5i1h7ACUsXOJjKtOrljv55PPa+/Wqie6PnNnwC6ai4sprTl7pwX3BaBLTK5NyugmlyZOjpiSVMkYO86ftYrQQcTHPh3wvr9qMzaekydC5fIkbyqesMQqujv/7GLiCq3P4gVDlTKaOeizlL11G3qZUilt6qrERlPTMT/2tj77j/l84FNOi4MiEZKRcQGnTMgZvCjAyi5mYfSW7UoH6kKyWJuyuShkQnaNRLb3aenc2DzQLcplzQQOCgZfaxmuWWiKO7Hi+mS/p3JDQ3NuqUXMDHrHJk1NaebP6LSCcOLmqaj/9YOB7A2Wf19O3pXPwthV/W3X6O4iyEy36C5vGajKroMpSZUMzCUml0V1YK6782c3a3B5Bf76iw1Wxhm4HcA96bS3FlV5Ull1MrtsnXNVxnclUC+z0ISTkBcRmXIpbalOXEqUURijiRPNlJ9w86sHfOLuBks9BTICo4hwenyyurB6yz07k7s8UJEUyupTVBpskrK4A3SJve1kyUKRuqdQuiU2txVyXMPkz7IS5ngVxdednuX0omWYWLTbyNSg9XrgLiLq6t8q/tp6y0yZoctSRZYi6CoDFkFbZfu6co1HHliWGwyqQWU2nKYAd1IJMLMgM9vnRpfY22vEfPrLNe5/oo4paW/X1JDJk2q9iSxVxa13M5et8PVJPGXP3EIrJMpkM4QtB51Womzhi8eJhzYxL7wy5I0vGPChz/igQhASKwRjo1FCuC1IskBTFKCelCuZNWits2szZleykFFWCmSmyaWb8VK+pjYDekmS2lQmCSFSvZ6ehbKzkknjCRYXmXX5bJIve+sCYmMIw5hxGKGPnklYWUnoDwz1evbpSozMsy8dk8FBrrMngb2GvUtdJyXAiMrsEzvhnpS26S4BXCqLTkeMSZk6JtKmurokSTLHRJYkinTuSeBFHDou+eNPtzjb891+19INeleCYseGdVaf6iEqgJ9k7/WuyRpNWfaDM2CXN9Et1YkrmT277U82NxN+4I197n4i4NA5CSICFAbJSMjSJlLuGuSxVeUuLPfiZgk9ketwKd1mVDmbC/daCLDS3RTuNbkicDrcUq0atTmghbVkbhvCVbFWFIHNYjj3M1vCYfF7xYlu1SXbN0s2bJBo3/PwPY1WsriHSxelAuD1QF16nQOb4nVVc69vr1Uq8UqMPcnca0Cez8iefJ3k2jtjcZ2NA1YxSibo1Bb0/YhxYvjvf9HmzofrrrdNaqe9pXRdO6KYv5I3E2Tvb/LcTDB5GedlrK/NYBauRbHHe7l8tlxG69rNTOaoJIZYalSsedl1IT/69i6/+N99xrF0GSgjiVNXRRpRem8O5JUxDta1pFF6f+5rUYoN0u5660BtUha3OCDLtO3MZL2bJYxYuRZL2WEnvl6Dv4n1xhketgJuiyWOYRwqRmONPm+zoOEJFk7DOE6LVUgDhOwfm2Dg9QA/6SBUAF7p6piQJs/F3qX9512qfkKeSJt/z22bbUoSpXxk7J2kAyXjnME9P+ZLD3p84s4G49CDus61d87eeWBL5VjD3CUU52AvrYCT9F2KMYv6+gq4waqU0U21VjwxEmmcVMmAHseaeiPm5pcNufXOIbc9qJxtmE4FjoRmSEE6ZN54Sa5YmXkspRR+Cpy8LkWm2UwBKv18eUl1Kj+sLNjWlHR2xugVQsx+jl2LpZJj51aHws2bvAEsYBNY7cWcno8YJRF6+6YByo5QyhCNbH5HrAdcOQHqHKjrgTzVW+XfKSRJqVZ5AthCFClqVQK6FIUdmA2fybV3PgnV5K9z1s4OVYBbp+D2vYjVvuXTdzfYd6bmpIlwJbEi096C0gQpuwbc+SqUs4woAf059EkGbutYM7PkqocowL1mOFBRoyKlQpoEaTTRWHPJlog3vqTP/Xt9OmGafjVOj4cosn0g3DZhky1txZpjccmd/IaUzm0pmiEyNk+lSs7gaQ25sCljF21sNndVUsZel9HLQWfR3DzZuJFL5dJ1sMINLprvGIYY9K0PSxbn4enDITNtN9pMpfUUZZny1fXn2qqxtX53dRRbZWCMqOpuWZYlwjF1ZkllkkTmAC6BXE4ElFkip+yiSNcpb0j4k8/Ued/HW1ihne9dYW8K7S3Xed/l5bTCKM+yrd4Ee5dLjqteeFmmrG1lM/lWjQaTSIx0vriShijxkMrwY28ZcPC0x/s+oYniAuQGwVhIlMkGSaSgKbe25aAWzg7BLQI5/EWa0s/ZPM1sphrfptfSloCe3QTFzJQUrhmhZg3TtrgBEC6QNbbQ2yK9KcG6m8WSl3fodCePKy6ESy8LmZoeoVeWBcsrsNpLqPlJysxuKIwos2+ul9cD7oTGLt0UPBuwZfn7pdFj+WiwAtD5RFOx1jGRGbjVpDyp7lmv0r1nnAaP8PyIg2cln7i9Sb/vQV2tZe+85rtYdcoJnpxxWPsavnqSp2DwEuhLkqU8t8SYrN6jBHRZ2lVaOi0upSaKElrNmLe8fMDn7qpz8EyafnUDqkmEYFh+pxm4bQF2m4M6baujVCOeSZKs+8uWv0fFJakAXdo0AVQAncxOtAW7l+Vtkv6+MBlG0tYIISo1UUK4ArV6YJlpCWZbPlPNAN2sB/QCzy1UpaBnUorkwJbrgXstsMtzBsUEsKsMWGLtVLJkwxzLwWU5sSNFeTB75pyYynYbsiRLpEwdk5TJtY4ZR4Zb72vyxUfqbji49BzAJ9g7sy2VEFVpld/01aKiDDfiqyG7SuhVoE/WWUhR2jHabUXidLcpZIqRJEKiEokRimisefU1Ia9+4ZATn/UYG6fD00ooYjRj4eSGNGkIKYRbLkSx+7TKl6HMUUmTgYIc+DbT3WSuiQO1lGnteHqdC4elAHqm3yvBpnDkmul+Uy5HzmQLNpVIRelYOUaU0kPqAH3ezp2ro9Hoc61m8B2V8QzpHylXy+VF7fnrdbpZ5AQISoCusvWELCmN/lrD2jnQTaHBS7sPTOpvlaffk9LrGCldp470Y+540OdX/2iKxOrCOZEKIaTbB0gUafkqg5fjh/XZuwLu5wL6RLJnMmVfliuGbMCNS/4YsY4ml84bF0YTxwbfT/i5H+yy76TmjgckxhcpZN0HiIxiWBFUtiRL1tHkuReeJt+y9yttyuAFc2eBaMbmZdLLgZ51/ORZ7/TnKaNL4d6LSN+jxLpaKUkauZI2Q7v6F2MgSsASUKu3Prdl6/ZVtX37ln5vdfFQLVA/KqUh8FTeXa/KDQaVo1QAlT3n00ez9G3KfOrZiqTSf0dRChaLVLyarA7MD1MUVD0LuMtSRVcSOq7X8uSy4Ff/eIq7H2m6TXmka0dDemgpqEsIJOkmV3Zt7XblSBug8yE51WFEWc27VBMN02LiXKWMV5QqVEsCyrFJmUTKDRdrdluwsGEuJtCW+x/3WR3KiaVG5lPEi4pDd4eKCvDLd+tXW5pEsSNJSXqVbcbi/hb5PZXXP01yQLkorZzlEYU+yTYZENkKomqcPbf6A08+eXCfnm65UtAogtE4KQr1VXERy7UglYKo/KSyDkOnzE1ZmpQu0qSfLMqsvVaayAnNnbP4eocqB5ZpKWz6OvET/viTU/zNl5vYWrprnHT6WwhZ6bcs+hufo2M+X60ybbLuNV/jga9TXlHIFKgEmpWO+2y0m7QVLW6tKWpUhEIaQyI0cphw8yuGPH3Y4z3v14RBXABcCKzxGKe1MyKVJyROGFuy+nD3LjMZokoSJgOnzWRLes3JZEuurwucWCFyLJTZOrMWM+lnpU2ZO5UrxYDc9FGanpveIFHsVjs9cu9LN+tum75QuXeT9z+W2TkHHBMALweP6wB7MpBcL1GSAlusAXl5q4zMTTHpSlF0uOQMLpOSk1IGd4Is1Z7c9kDAH322yShJp+CLzBp0m5j6wla097qp+TLQKQN+Qq5UwL4+89k0uMu85zUZTeyaElorS5lNWXJWhEqX67Q4SxoSowk8ww++oc+9j/nc9oizCzNvHCkwVjM2rh0tr6AyEzKllADK/O8c9GWQS1zRVdpskUuWHOjFtS+Ant4AOdDTkgJTvhdF7tTkz9i8VzQLxrEWg0HFxnXVZ16VFOk+r1lNiFy7NE5mGys+tiix8oTGntTrZXswB3h5JG8Z3KLYTUBVdHgZ3BMSJd+4NDtilI4YjOGX/3CKw6cCrC52S65q72Jzq3UTO6wFcSm2LIBcCoieDeSTkwmqGc1y8VVZj6+tTTEyrTiUVRYXiUEIjQwNF2yPeNcPdbj3ZwJ6o/TDmPxNkqAZ5TJhLcgdcAtQZzenSlk4A7bNQZxahzJjYPJnYchrxzOgFz62LTkqDiOFI1O6qSxV98YKRPr+pDEIa7DGomdm5pBKMRz0WF0Z4brs1wF2mY1lFeRyHSaftALLCZ5iaHpJrpTckyxr6XbVzXzwErBT0OfJm0oyp7Q7b7oFtdYRcQK/+7EWjzxTc563zJi7cE48UR6kWdiDk17/ZMlv4Z5k5aHiWfl6DZNPOCdFA0TqUuRgtmurDYVj8DzozBg9kRiRHolyUsUYrt0T8RPf2eE3/2KaMJFAnNKj0xcJirHJtPg6TO4EOkqUspzCbdBry2yeta6Vvp+7IzljF8zupEq1OcJmK4AtYg2kGyOY1ay4AUWFjHMBrGHDXIt2u02SJOhXvOo11BsNDu1/mrvv/Dye9tdafBMSpSwv8t8rM3ke6Ewwe8bS5dcTg9PLu3hlO4dVmTt7nRReuCpvN11lbq1idC3hC/cFfOBjLTpDz3mAqedN2qSbsbcWVfYWsqrDi8zbOjMIK2FZEfiISUBPsPYavFeAXoC8ytrpVNhMkuRjl62bZ2MkiVRIa1y9Sqxo1ww//LYBDz0VcOtXFDREkUtPl/HYSEb5alOA3JKCyWRZS1uk7SVIk7J5LlHIi63KjC7XAbopYWmNbEmZu1IKkLJ69u+bNH6QwhLFEVc/7xquvvoq+r0+2vc1vuelu/268WbZYxK4BXNPgDf3yCcSN6IAb+WmqNwgE8GlMBWQu/S4oWoTFswtVWELylRvZ1WCUsZIHfPMUc1/+2ibg0u+S3elfrd7ljl7r2kmngwqmWBuSsDOwE5OdOs/Mlk7UYvChO4uqgxL8wsnPXK7TiGWNfmmsiKTKsIipEZGlgtnY/7pd/U4elZz4JTA6rLAEiC9HOSiBHKbMbmwuU1nJSiTDm6VpL9XAJmM0QV5S5vNDYZyMogCsOveBMW0YytdJtPmN0CR+TRAGLrAUymNVAqdRawu1elsPfKa4arnndWJlIFflSMlJp6UJtKW/p0JeSLWsnb1eyUWz4qqhCkxeanQShbSxA9iznYEv/z+Np/4UgPrqSIdn0qT9di7qPtem5Ivg7uc1KlIbjEB8gkar7D2BNipgP3ZfPEM0OUANOv8kXlFn3udBp+JIcbgSeeqdMaSn/0NxblVAUGZyQVuxopkJFIgp2lxsgxiqsmVcR/YSus2jshBnAaCJRmSv87ucVli54pcWavP85+V/o5I/05lUq2AODEYW9STSykVnhecVVLeMjMzgySZmElSpMbzjZZkUXxU3k7bAazcZZOl0Sd864mAUanqTrrV8tdqZWAluMw1eOGaSOnA7emYEMOn7qnzhQcaaa1JZgnKlMEz9i7NKSmxd0WmTTJ3SYtnIBYTQM4Bv54WmZAra+YUks4HMWWQF8yddfpketyNL5OViVgu66nS77nXcawRVvKaF4x404sG+CKGOAYTgy0Oaw2xgZGBsRFEBiIjiCzERhAngtiQHu51kk2YSvfdjNOGjfx7k8/ZuAdj8xEQcWUUhPu5sXbNf+OG/dj0cN8Pw4TpmVmkkLfU/OCskgr16//fb/HWb79pVUlWjYm+t7u6gFIqZ9iiqZdcMmQDL6vDaiYKolS1xazcqFDZkk5Vfe7yDSVLwC9ujLIVaFK2Tkoyxc05SaThk3fW+X9/f4ojZ4O0iaFI6CA1QgoCCTXpBtlrQbo1X2lqVp54Km6AYqRcsa2K+74k31ZFVIf0u1VSVhM3mVM3eVRin0kHasKXz7ziNOO3tpTCVlYVIQBjmW0nXHZRzIl5xYHj2iV8ilx4+tpZiia9U0UhwArKLN3hhWeeMnXqyljXyrPG+6/4//n3ReV38p9PJIwmGUQA4zDigt27mZqa+ldPP3Pgvte8+mVuj54oirAI4jhxO2tRaGxVkg6TDcFiIkh0J9VUnJLigpS+zv+9cqBZ0uNla1CkQWRZpsgkd1GkLLpzspoTz0s4sij5wMeb7DsUQEvlksQldvRa9p4ETfa6zNzlQ2bndjL7N8Hcla8LF2Xd4BKBG0ZfYveSiyLzKsRq+l4KMEamssQFoCJjdiFTd8dJFWEtidFEY8ueCyN+8OYeDzzhc3ShtFTlQSdYo4llKnAzjS3BmswuTB2NLHVvRCEncEwshft+Jj9sKYbL5Ykpgs0i8BRFsCqqCSOb+eXpfPL0HsKYhCiOiOMYSDeh2rZjD35QZzw2nDh+zMUV2SagkpyZKwkZAW5v9FKgyVcHdg5iyk6KWQtuUbC6+zoroHLFU+7rVJqI9EjZe7kn+O0/bXP7I7WiSjDLWGbglk56lmtOyj2WSpRZcK0tuAb4k+RWebH+oxxclmmtUpdSArnNAeS0tzTCMWwG/lKmUwjnprgqPOt0eAp0gcIIQzIwvOKaMf/snV3+0x9OszLMgJ3SrckAr4nTO7YANenPUq87DS6VIPfMi4Cx7JY410MKm3+dAxgqHT/ZjZAVc1USRjILbl1sIISgVvO4+KJdXHftVQyGw+wehemZLZy365Jbl5ZXflV7NcjAlc8BLI1Cy2tBCq1c/lkmJbJmg1yGqKr+zr4ukjjlhI3NZYjMf6eUsSx53hnIZVpvMhKW//7xJu//WIte5DkdlTF36pq42X1Ft07mmqgycFmbvawwdQbmciCZd8d8TfheswwXZbKTNRhVNq9Moa1YiJT0t8i1ty3tFmGMSjuCnB5vafjRt/X4sZt71E0MJnF63MRgo5I2d5p8bJ0uD22qy9PnpKzFk5IOr2wRXj6yjW+p/E6cFFNii3/HEhtb+d04KWt0MMbQrNdYWV7+1Ssuv/TWHdu3FADfuHkrf/4nvzYYD5eP1AK1ZrZ2Bsgc6KWCJ10GZGUAj1kD7Aoj5/+mYbIysABzVY4omSDy8teCwWVqC1ptePqQz5/f2qAb6ZIlWHTqIFy5vFcCtcqdnyKAXjdTWdaxE8/l768tSXluqBftaqXsZm4RVveyzCVKfiOUtz6Ra74u93UmRpVArrBGEUeKlra84zV9Lrt4jEwyQCcO7DYDewLWgSw0MDYQpsFnnD4nFmLrgss4B6MgtqwLdDMB9GogSX6zZKCPJ4LKOP+ZJY4tCMW5+cUj7/oP/3mwfdu2AuAAL3rp63nZK9/M+bsvQMso31ZPl4CtS1/nIC9V/MkUqFqXWdhWg8PcWUkqYK563elNkLomumIFpn53CeRSxigv4anDPj/xqzM8cSDAerKQJTmDy5ItWNScTO7UsJ41uJ5Mmey3LO0ftlaufC00XqiUEmNP2oXF7mKVTVxLfZvZwKBsx7acxW2pQSIdOZFYjQkVV18U8d6fXeWKC8eu5nTCVSkzeWIdwMfWgTzMmVyUwFli7yQFsa2CuMrcmRO0DshLYHY3TgH0KIEohuEo5qKLLua73/5Wbv6ON+XnU2cv2u0ZPL9Oox7gewmBFqXspa1qa2xaC21Lfnjx87XbOWe/Yypp+snnDOCZBhclv1vmYE5K0sUxt/YMPSv5vY83ePSpgKTC3Jn2dlNB8sBSlDOU5doYchNhcu7gmrEQE6Bn4vVXQ7idAHYZ4bbcp1n5fpnZJ2rGrZvbbdK6DJOuVibT49j0ezK9LgphLAkGLSzXXj7mn7ylz8/9pkcvFuCxdrt7mb2UjNPA0M89cudNG6wLOFPHQ6ZZT5PNMZRF87EtnV+Tb7tSyn6n8W1GMlnBY56nSBtC4tjiBTU2bthArz9YC3CtNZ7nH2w2a4dmpmoXWjNESheBr917vEjSlEHsLvZ64LaV7Z0roBalADMPNrMgMymeK+xt8myl9mIGRvCBTzT56BeajJUuAC3KWUtn0Xmi2HIvqzeZzFo+a6VgOZisBJaiIlmqyP5q8mSSvUvlqVR1uIHKdjLl2SlrAS8KwBuJkQZhpeuBtM5NcQGoQlhDYix+bPmuVw/Ye0zzgY+36Ee4E/YsILdIoux9G4GRFp2m8k0q/VQpSJQ450cmpZ30JrqksjmGEjeOObsGUtgc6JOBvrEJ7WaTWr1xyK8FB3UY5ec0lyjTs9uZP3H7LVNT9Q9v2DiN74X4XoJf2uq6Oqm1rJOLAFFPetd5gmb9+m2piuBRVn6WrNHgFXALZw/2QsH7/6bJf37/FPNLXmoul5g7lyeixN42P/nrt6FVHRXJBNjLX08yeOV3vwaBMhFQZsxekSqZlzwRYK6X+Mm7e9Z048tKN34WbDoJo9L5Kootc4Z/90Md/vFberSCdI5IrscnNbmzNGMLIwsjI1JtTkWbR6WE0KQmd1KmrNkLaVJIEtLEkjuiVJqECYQx9IeGqdmN1OrtD//13955y+5d29cyOIDvK5SufSbwzZvrNXmNMVm1WUZUBYOXv5YTDL6G2cu/k/vdZoLNy/KlJEtEUnkua3BZs/zNZxq8+w/anF3RjpqlXqO7y553XjH4bO138Czet6iAlzLQ80N8NcL+qmxuS1KkLFVy4K9J3ZMWXOE60lPWzhg8+54xwlmENp0cZUxqGaYsnl7TKLRsnUn4dz/cZakr+fCnW1DL6k/SJQRSreD8ZGtdI7NNLUAjwUtXIImbpZJ53Co9lzInk+y8u3KRTIIIqsSTVIhF5GRisaB8EqMerdcbn4nNsHJOKwDfuvuNPHbHz92NEA9qLa4xSZLaYrYK8uwiUwL8OjrcfX9CrkwAu3idyRKT/k5Wc5I6J8KgRJqKFwkqMBw8qfnQp5ucWfChVpYjVWkiUs1dOCc2PcE2T+ZUg0u7BrwTRd/uJJe+rlgnXxtxPzfQKQqvKjvdlW6E4lnkvnMuTVKP3GbPNt2+O61VEVbmHrkwFtfC4MAeh5atGxLe+Q8G3PuYz6FTPgTpRKiyXMmB7uIbk0oWYxzQk3S1zOx0ZUUOdClIB3QW3zNJNYAvB/ak5Jmf3vRn1oAfKAbD8YMf/Mgtd3/yQ7/47AAHaE7tAiHomz5JOHI6nNIehhmwsz9cYe4ysCdAPhFcPhu4s9ciBXc5uJRZQsc3HDqt+YX3TvOlh2qugVJOSpKCwXPtnbH3BKDXLaYq6/EsiTWhxTPWLtegVG6Myd8XJekxYQtCMQQ/Q3kVyOW9b2zupsiJctriZwV750eaABLGTRdxiSDya2SsSuu/LWZkedXzR/zST3T49++d4vBpH/wyqCeAnr9tQYxL7ydAYkU+dtqI9NzbolJQ2oypRXULmBKRFiBfO2/GGst0vcZll+7EGMsnJ97PGoBvPf/1CKnD0weXGa4uuj00KSeZi0fB3nYt2HOQmwl2L0BfliQZY+eAL8uTMsA9w9EFzX/4vSk+emuDUKS7Ua0DbITIwV3Uea9XKThZ61HS1SV3JAdw+WcTwH7WR/mHE/SdS5MS+Cu/l5XQ5o7KZJ242780z2yatBw1bYQoMp4Z2GUqU1xhrhEpm5MyuXCJlZqOefu3DUgM/PvfneLYfOCcleyRS5ZMTxVFbEYIIuGk6AhxMgAALSdJREFUReL+VbRNA0/KTohIW9XsBMCrgC8qUUrnLC1G27VzKz/0va8Lwyjh1/7DVwG4X9+I9qd+Znr2/Mtlsv8VcdTHWk22hWDlXi3LFGHzN7IW0JTcmDLATfo7ptDieVo+QZQArkSC0oZjC5qf+50pPnZbg1CqiUzl5OECy2x4fb6Z1bMc5ZVoXd+7tHxOMjXZDZ5ac1/Xw04y9kQdOFlQ6fR2trdP8XU1CZQBOrMNQSCFzFP9wsr8HxfpQQp8cMkTTxve8bohWsHP//Y0xxb8KmoyLS4yqVLQoUWS2KKeJAZ0ek1kCuoC7KJYJSnwlH1vkj6MhTCxTLVbXLbngi/vuWjHzyyv9tec0jWLjBdMM1z8SLfRVPtajSgJvChv2JWlZMuaXshsHklp2KUq+dflmhKVt5OZ3Bkps7TMM5YFuIVKOL2s+He/O8XHbm0Q5uV46zF3lb0zxyRjjzV6OwsuS5V4ZL9XBnJ2msvnWpSfSnT/d0G5rTwVr8s+eTnAzL+XNdqmwKfar2lL7sqaKVn570iny001CWSswlhNkkh0Yvmubxvy//7kKlvnImdzWJM6KZNHkRByzotzWhILYe62uOexEYysYFxyX4rDJY4iI4qMaeq+RMb9N91YMLYq0bVg33/5w89152Zaa06tXu98C8Akqz+hdPMGKfvXSpulzrILuFZnUwo2ofz9SXdl8jCpr15m7kymOHBLZYg9wR98sslHP58yt5DPwdwusCwaGUp7uJfkyZrCKaqssSbBU3ZPys5K9n1RPYdfK7bXAzMTTO5+IPIfVBk9mwlS3n7EVlhcWLfuZMydaW8nXZy7Yo2rCjTWIozCuLZiwKIxvP11Q/Yd0fzqB6aIgWIyZ/YwOJWt0g8ki0+YZnRMyuhZN5ywWUxUMHg2aiRnd1sEndn5ia3z19vTtcfnl3s/sWl2LbifFeD1je/g3KE/SFDPt3HyJSBKM3xluWHSizoBcMhfT4K7kC+mpN1TDV6qGHQ/TzW4MqAFt9xd4yO3NBjLtBhdrsfaKeiZ9LzX194V3bdGhlQBXQZuWY+vgfMEsp8L6GuSPNUYs+qYVHS4KAWqtvo7tuibdGC2hZNispptUQA7BbpJs5tOrrjuoGw4hBAO/D6W73ntkAf2enz+noa732T5E5RmlGSyxWbyJfvlNNIWLkgG57YIW6yO2RAiKQpDQAmXDS2TyHQgecMLL7aeTZKf/eE3fO0AB2hvej3GDD4SD564NA5PNdMh/BVAihzI6TPVYDMHeAnsTOrwUoDpvpdKFNyGUkLD395Z42d+e4qnj/jOMRHPrbulXAvurFKw6NaxBWNMBpcVEIsJ8KdipMTakxJm7Q3wNSC8/O1ScJl74DmIiyPX3lkHu820NammzqSIrbgpmSYXQlS0uDCOccX/396Xx+lRlOs+VdXd3/7NmmQymWSyTpKBJJBASNhOAAFBUFAU9Si/qxe9XhHB9YdHLwf1yKI/RT2KyxHPUS5XEdAQVPZFiLIJRAhhy04WJstMZvu27q66f3RXd1V1T0ggEMRT+X2Z/urr/pbup95+3ud96y0AoAEn51G/BSp8HDrDxXcuHsIXGPDHlXnFYIsYpUSCXX2QwAmVJ03G6EPAR4OWIJpgARFTRIsGOUQsVF08DkzraB99/+lH3VAuZnHFF9LPJcUYLVeaLNyRR7+fLffu9n1EOcY04trxuu5BSbRgtWDGvDA5youmklHzL+Haayr3piRUS0Jwr3gwh0t+EILbUay0ZrlZZLml5p2eSKVMZDDUEm29HcOaw9xGEsD77ViK1M34YmuaN9FUlui5GvlUHUzA4N40jnRqczp1Lp5IyoqWLWTRSsuiQTB3qourPjWEM46rxOHHND6uRT+VBC4+xiPxmg/OebCwa5jByIVca4jj6CNn7b5l5bPf75kxacywwpgWHACQWQxOBlGpP4WMvRu2JaJqUUxRQKRl3tvVlIoLlWI9UY4nApQo3Du0CitW5vAvPyzjmXUO4ISAxti8GzRNFtRn5miBHJOSjNUHHdQm8FXvM9pvXx1NNXKZAnYJ4BjIBEJwPXecQOPdsghmVHotrJwl+XhcWF8GfdQErcC6SppCSEyBeJi/Qhs+Dp3m4vILhiAE8IeVOQA0NpdCGPIhAYiMEClnU1XmiPEcUE4yhSAMHmXwCJAnAtM68jjj6JkY11bG1/dyevcKcGJPrfu1NZ/IFqfciPrOAmPBZN5geljAmaOroH03+QOUKxVdbwlq6ZTy6EEJB2GAYAS3/SWLL/17GWs2huCmscYKqHw7Vk0i643QciPJvYkBdi1aplpwE+wJJ5IYlpzoI0E9DylAN6Xu6IKLpBMZAzj0zkAMQMcRTRhA52GBea5RFklVEAR9pGZOg2CQQJjBR0XAxSnCSlEU0ULYDR/zprm46sIhcAHc9uccNE7BERo9GUEJO0WKRx6dCC3ypQEchEEIBy4YXCJwyMxJo3mbfmLezI763jC8V4Bn2Ms81z71sUL+xKGhzX8t5DI1ZOwGGPNAQnDLW2Z8a9Vv3JK7qxY+cjgRRy8J4SCUgDOCOx7O4gvfK+PZDSa4x3AqQ0Qy6LKgWd8kUawoArJIWG5Ivq1REmMtntijTlh5E+Np4E7rF8brwuhM5Igr+8VcPNTBeQDuSF0JQ+iRxRaIHU2qStpxNBRhdJOQKE8WkcTT8HHIVBff+nRgye96KAsfUKx3VKwtfCiMOJqjZrja6u0KJK5nCApBXXgsA7eQw3vPXjY0p6f7sbVbBpXF5/cT4E5uAgjN7EK9ck7LhHn3D+78o71uux3QDBLwvPFtPlpaOagAMghCs5LvBUM/eRklwAMlRobyA3Df+1gWn726jOc3hZw7ipWbSokesZSqCUMa51ZrtLwCJUmjJ2PwbxPn6Qh/5aZGMk2wB/c5hWqIGPRqKYnQxiSpiiIdcgidoighfi5IuPaOIhsKCsF9CErjutwInc8w5M8bAr3dLq7+zBA+5RHc/1gmALm03rKsFQgSQ1sYvzZcIDQbECo0tfmY0MohuDy/FFu3MJxyzMnuYLVxTntbeVehmN/rud0rwCnLQvhPwy7P3NpfGV7/9V8/O/tny71g/R7BQTyOpfMbOG5BHaWcj9OPrWFyh4+8w8E9Ah5+Mz3Mr8iK4UAhlIJT4K5Hsrj422W8sMkJ0JoKbtVyh9QkBLVF1OI9+lryEeBNUCuAVoM8kfU2aKIZwkfi9QBp0uDp5dz2cn2J0a/gIx3we1FWNAoTUhEhwqQrFdQK/44sdszBY9qAGPAkTP6Sy3YLH/AEeqa4+MHnB3HRd8q455EsfKqeINWKq88VYPsCeZtj0kQP7ziuhlLWx3GH1bH0UBfCkzViBG75yyQUO2asn9o9deufn1iLYxfN2ivAX1nJ4mtw0TfXY8rE4nGPPLn2gRtveygoacTdEORBcq5tccyfXcNH31nB+99eQVOGg/Aod0f/UOW3E5uAg+CeRzP49LfKeGGzDWEpII7oiRX2qeUfAnoSTCAOSh9HwZ2w+JAVFSkKwC/D9XF5aFnLRVnNgiqF7ZW+oNZJ8Fq8+gWJaqME+9H4OVHLUcttvTy1/Oyghkw4J1T5bvHqFkp9lmiCiLGcIglr0ai11FPrOupFlrRpgmoFA20mVfg8yu4M58iG6RSECMAGnn/Jxqe/Vca9j2aDAWOb3rgxxIUA5QLlDMf73z6Kj76rgvk9jaDkmkvhe3KStIVajSFX7F2dK8/+AKHbVj+y8XwsOWz6q7fgAEBoL4aHKygWc9v/X7Pz4COrnj9uc98ewLIB4UNQD7A9NLiHvz5DsfVlC6tftHHeO0dx5Gw3yGvgquMgkU1AHWDzLoaHVjm47MclvLDJDudSKg9VR4XqVAZ9kmdb0KehEdN6w+DeBnVJs+hyMJqBn4iqpPKU/TEf+rXeF76u0ZHooaopQuHiRt5KgraQ6HVNYYEe3g9SbRHmndMggxEBlaEIPg/UB/GAOd0evv/5IfzrjwUeWeVg8y4Wg1x1usPbD+ECR8xp4Lx3juLsE2robPXhVi14PoPPLfjcguAUAj5cMRGjezJfJYNrV09Z8F0Al7/iaWWvuAeAK674BmYfcUp/czk3XK023rdqzVYQJxdbU8m1LWCkQvDYUzbWb2NYPN/F+FYR8nEpX9AI3C9ssXD5T0r43q+K2NxnheCOveZAejLkQJrk3nJFtKAylbTW6jqbiiVWrHc0CFIstbrwVvCViKKdyxLTJPE82iZyO6xqFe2nlAmG7hck0gfklC2anIShfi6MY5P7RTYFcean4VsYfVF6qhIfgHJ8RNdkvxyOHGhvEfinRS46Onw8t85C/0CYoxwG/KKh6QJzu118+7NDOPfUKgqWgFu14PsOPN+B6wV/A5C7KLQuQXnCaTfmy1PXfOOq6/bJbryiBZdt3uwpmNBWeuzlgerydVv3nPX46k0QloU6Z+A+C3IihQAsDhCOex/N4Hf3ZTHtgxVkrXCUh6eBZoC1Wxi+9qMSbr4ri5pPA5RKcEurrVlwWUoqtugUaQEdkZjAQCE0QEmJ0pQNkdhn79uymZR8P31MIzwfmF5FEQx17Zi3xiUj4miQGvyJHcpYGdGdSjVvRURT3QJAkzBfnIR5KaFlJ4ZVl8/DBTSjxU54kCgyoc3Hh95RRcYBvvrDItZtsYCM4lTwYMm/s0+s4aTFdYgawF0Kzi34voWG58D1bHieBd8XyJaOgJVftDxT7nkM3uA+n1u6rzvO65mMvt2jmz78zqMvOqSr+dbp7Rk0Wz6KFkCpXEA1pBIhb/jxb/JY8acsXMXEUBtYt8XCZdcUcfPdWdQECRPp1fu/Anb5oCp1IdHHRJYasXVJy/EeM98E+rbU0yVa1X3UzgRtUV8m+wtxXQ6MAa/mnMQPCIOiyFISap+ad6KWm1CArj1X94NJT5TsxPC5UKKeiCKoNPy+ArwOZIjAOW+r4V8/OYLpXR6CGcrBj7DBceayGj7x3lEgTD4UCN7P8xlcz0a9kUG1lkGl0Y66P+nWTPMpF9UrlU3EnnHgAR6AfBLuuufhzeectnD1ojkTUGQumiyBLCOQoXIg8IiJENiy2cKLGxnccK0V6ghs7GP41x8WcNOdWdTkFA/zfqla8FQuroAbScVEBV809w9IWuB9AD2M94v74x1Mi64e80rmPFJM0gAvwa3sGzyELhUqx2hhe24ODqOIkCkZIohupvFwKOF9roT+ZYRUBb68/QgPyFGO951aw2UXjKB7gh+AnAfFTmdO9TB5ih+kqDBALkgbVMG1UW84GK4wuJiGXPOxq3dseWhztjBlfyC77xRFtlnTJ2LWjElX/W312ulbXx44d9PLw8gxgioEiO/B8nx0jHcxrtVD93gfZxxfR94C6h7wxNMOfnRTDjfelUVDRmYijTSNBKZZdBIBN7LekprsjZJoA0Ckg1jlskqfyl3M47QtksTz3vBt+pWq9BcylWgHSScgwUhiqRAagOVxcRAuCtsbQI/C7zJKKhCF7kVY4F7VxQkxKEoYiAGJ+6IV5cMRyj0CxxI495QaIIBrbszhyTU2Kh7w+wcyWDjTw5TxPia0epjQzkGFB9IAXI+hVmeg1jjky9NvKLUvuqo6/NL+wnX/c4QA4Nrr/4hJHW35a6+//Y4t23cdu2WPwHB9FPOm7cQZS0exqNfFkYe6IADyGaDmA9etyOHSHxewZ4jCFQinaahOpRGCTziVUh4M803C4plO5FyGlapoGMmUciBRZTeFp6sz6xXJL90hlQVriOKMKn2RY2psK44ni2REkuLU6rJhLAsiKkakSpqx/KcudR5mTUb9XJMS1QW/ZP3HaA2kaF9DNoyqGwi9TiRR5EOiTFohoWwYZpuq1oXQoLb44DDFV64p4Ppbc6j5AT4IAY44xMOiuS5OX1pH7xQHg8PjsWugCbnCuJWdM95xar2yqzJl9hlvDMAB4KFHV4Fzcc8NNy4/ceP2Ppy4eDvOOn4QEyfUQeEFkwscgpEGwS+W5/CVHxWxZ5AiynCXDiNRQS4VmRRw01g5sUgMbln+2CIiKoMcgTsESERhVJCooIpARpKqCiGK6qJo2OGdRAKXqJp3eEFptN9eAK4APdbhDVArwFd1cRXQCdATYYA2BHcEcmEAWClZrRY8TdXFeQLY8V8/0srjW2GonIUstn+Q4Cs/KuKXt+Qw2gisFQUDFQ7aJlCcfUwNJx5ShmDTcPRxZ95LKD2pq3vBq8LpflMU2eb1zoQQ/NHq8JFLt61/MHdYTxVZC6iPDiObGQVsHy9us7Diviwuv7aAwSGKtmYOIoBdg1ROr0acsyCHnKlfUah0hSClliB0h1KdoWPKa+ZHxJxbpx+paolKWaB8Lejvb1qOffU5teikpCYyRE+UfUTcF1GalBwV1ZlUI+eRigKFfxuqilZoiIQcG0rlLBInd4GQpBshc01AQtslgusOgrYyx9c/MYqsDdx6fxZr+xi4bYHbeeypFnDPI0Bt0MG7zzy82tQ249EoD+aNBHixWES9Xvny4qOOFg8Mb/rM7sHd2VIhg3x2FJYFPLzGwWU/LeNPqxzUG0BTTuCSj4yikBf41e1Z/PlJJ8hvkPpoKns1+DmgzPKI5UBV+ou5s0gHfHjeE8U1FVDHoFUnO+gTjWEAXwN25HymI16k/NyoT+XdGIOHE93J1Pi2EGHxHKI7o1AkQxLKf0SVHMOpcQbIY0AHxfUJUx1PhFw8xaGW54AGRX8efNzBr2/PolAQuPTjo2grc1x+wTBOOaaGr/6kjIfXZADLQilD0JKtY+b0GbWlS5d+l1L2lWKx8KoBvk+BnrHav/3bN8SZpy97sFigrKk4vLQpv52Vi6N45FmKS65pwn1/zcEXBFQAxx9Rxzc/PYJjFjWwqMfDhq0M6zaHmYBUpSlKnkm0xoekJ3FtwSioY1CSiIoYHDeNEhClj4Thd+loMhr2hV8r2if8q3LytEDO3rf1AExaoGdvOjygfF44wvT9ZIBGLxYav78ZwRWpn6X69+qxau1JquQVxTO0wgQ6RiFsgjseyuCzV5dx2/1ZPL3BwjHzXUyd5MEhHDO7PPRM8fD8RoYtfQ4EtTFv5sTG/LmTr9q9a8fXD1twqPdaMPqqLbhs0zp3NTgmXJkjpUb/bv9rP7vepjevbMaqtTkgwwHhopxp4Lx3VJHP+BAVYP7MBq68cBiMAnc8koXHRXKomSE25SJR828CBCIdJOpbIgVMGANU4aenUhfDSCf690JPogqrIvS5ozC8tNQxzQhML5Tgj662aBMdFLqh0RLoaouqoAiCuDoWUUL7MI+j0WsQBIJQBGV+9B9KCIEvCG5bmcGXf1DC6hcdIA9UaxS/+EMOR85toMmh8LiFJXOA7188iBvur2PFI9281Nb+tXx5wnee2dzfeK34fPXkJmwTZ3wYHFurhZapy5/atkxccf0E/G3DeNBsE+AUQLiFhb0NLFtcB/EFhC/AGwIL5jTwsXNG0dXmBzUFIhJnEFtFbFZlPk3vRkhPDGDqmngyFyXGoDnvMuxNGyBKIgqJv5oBdAL11+xLU3O7o9xv9bUIoPH0Nfmauk98rKF1Qw3WmDp4Uj6MZtNyEgdyIrpj9iV/JbGAl3ZT/MdNeTz9XCZMfQ7W7bz/4SyefNYGJwy1eh7Do02Y3VXAF8+t4soLZotjFnYt93hf9dKLznmt8HztAAeAUX8unOb5LyKz5JP/fNbJfFq7jc4iQ8bKwMoQXPjuUUwoAL4bhGG5TyFqwKlHNnDikjosJqBdNZ0IR2ZRDe6kWvAULj2WRU7eetOdyyQvN15XPifdar8CxA0wQ7G0WpBHBTmU6rJQAakCVURBoITzCRX4ajQTyiAAEgEfNTKKeKCZwSpCBTwO3PNIFnc+lgWyFJDRbttB30gO37u5hFqdolbLYedAMzb3jQMrnMNPWLLgk4cfeuiLy46ceiCgeWAAPqdnCf78RLZx9qnHXtsz0fncsvkt6G5yUbY53nn0KI6YDbj1HBpuNkyeseG7DFmH49yTq5g0ztcBHgEjfpAQ2DpNkU6jXoYtYcGVGfQJkCvWWwuoKiCOAzwkCW7tPqC/ti/qicI6dCuuAkcBsBqPT8sF151G0/IrVlx+BpcDIxm5NCOfkVMr/yLtEfg1W3ZYuOHOHOp1uT6pBbAMwLLw7Tweeq4Ft/yliFrDwaZtJWzvn4ltO8d9rnn8ydcumFptzJy59EBA87VzcNmOXTQT27a/7P/PD52x7sknnxz+3Yq7SzPqO/HxMx1krCaMVDmscKEoi3kAA5grsKjHRWvZx6a+8GoooNJOGhRQAwlKofLnvTprRN/PZESxk5Zu0dXwvJqTktQUUzdj8ApldwFtBpc2D5OEAyC1n4SJWaryITSrLaemCWIuB65ERDmBYGnRTuW5tN4w7wzKj5APAgwMUTz+gh0oAdJ6swxAbVBCsadawlW/LqH/5AaaCh3oPezE4em9C9b19+/w29p6DxQsDxzAAaBYyGFoaPTWhYcffgGE+O7Lm+5tBfcwMOQg6zTgOA3Y4QkhhINzH4xwjG/1QahQrJfBwUmUv5Wwyir3pqnWOzkANMfRdCYNC6zW/FYHAJT3NBGcsNz7QsQTcfvYsVTzvyNpToJP7iad1Oh1Re9WQaombMlMQiCah6np7KqHE05Ohoj/AkS7O8i7GBdA30CwBlC0IAFzAObAosHKbk02h1VjeHZDJz78vhP6e3sXXFyrjt5qZ169JJjWDghFka1cbkJXVycsi163ZMnSzx9x5PE7bacV1ZqFWsNGw5Xpj+ECSD5FU5PA+0+toTnD4/uzxhmgKeJqGQhzZQb1UE0bJ2lKyxi8HET96NR9I8wqoyItMISU5xqmxSs/V/mtBKNKUbiyj6Z4AEmLjfg43QFVQYpwRmTSSTVn8AsF5JCcnAJ76gS/uj2LoSGqFEe1QSmLwJ23fEwc34QTlv3TzoVHHPV5n+O6tnETUS6XDyQkDyzAZSsWS7Ct+n9On730S+0dc3fWXRv1hg03BDfnLMo+AxHIZYJyv9E9H+p2bJGZwrnHBugYfQnnMamcqO8pdebYUuuWHCmfNZaS8kpNET80gErQqE4nEtaYpD9X1A5tuRPI6KaunnCTuqQqLDRWV5R9YhVFFhACqvXYysu4hk0IckwgZ3HkHIIjF/buPPmkY740UnH/80ADW7bXBeAAYDtN2L7+jmstu/RF6kztb7gEvh9WR4Lh0IQnJ0COmRpL4pJrUMAHE7hpwYr0KWlRXAlItd7GDcTYjl1LtV/2adDeFydTAy0Ua61YdEWt0ACPmGcHywom5UQd0DLfW46VGMRxTrfhcIbcG6bVN/dRwW5KvuEJDVbZELAIx7yezv7WpuIX/++Nd1/b3vr6gBt4HQEOAJNnvwdDw94vc6UpFxbK3cNC+KEFDQinAAHhQL0R3BLjkxEnYWmTGgiMULuijhBorydkQ/XtU3TvVLAjZX+YQNdRvD/gTjtOxUeSZqiyoAFymNYXKduG6sLV9yTR2puxUqLSGwI9d0V9Lsu+BX0UBBlHhOiKPBUIAK7no7dnyvCcWV0XCr/2ywvPf9frCcHXF+AAUCq6vFgs3FAod55fau6u2awKi3EIBJlvg0MUN92dxWAjNK1RCm1IDIhapQq6JAjD4dRAO3bOd7omnmK9E/sR1SAZ0mKM6DhvZd9QrjqQKrDUCQ1j8uq0/QwrLre5YmX115R9eGzdod1poUmHsYRIw3rj4Qwfn6LkAO89qYZSWXq/ALiPeq2B3jndtandneeXCqUbRuuE79MJeg3tdQd499zzUMzt9mmm++ZSU/uH7MKU2mitAe5bEILB5wRbdljgwgrkJCoXcKUKuPXFohL0BOnATZUL92a9I9pvgB3JwSCbCuGx6xEmO3WurTuI6j6ACfikFdedx/2w4oiL4cfa+NiRTfl5kmaq09iiIp2CwSIUXRN8MCog052zrIKj5o2rTe5q/9DUaVNu3tDf8L/8mfe/3vB7/QEOAO1TP47xpaf8Ulflt3c+1XveXzccValUs6CE4Kl1NgZGbYDaIbBtmDW+mQFGtVZ5aqUqpIOXpgwCaZlTj0PQocqFKt+O+gjRBoLZUjEvjNcMzq1FCUGS1hsG2AWMqWhjW3EtZK+9r86rI66e4NthHyfh8uHByhCBMmbB9S205AUWzGwAPkWOMVz0nimVz32g5bz/uuK03656Yb3/7UvOfSOg98YAHACc8V/E5ddME+eeveHGWVNmnM+y0wcrNY5f3ZXB1l05wMoE0+0piyYLWIr1ZojVE13CG4OepFppMqbVTuPecQRTpSTKqmop9EeiNiEXqk9UKy0Mq23KfQaoo324AUyoXDyWEPmYVjxtXqY+EVlSEkA/LqIuiOdo+n4Abs+30HAddLYTfODEYZSyLo6a0zlYLs44/z3v6r3x+b/dLH761Y++UbB7bemy+9vu/eNyfOS9H8WsBSOri83t2x5/sfv4n/+O57fupiCZPKhlg1ECm8YLR0VlISj0gprU2Damf5lVqaIpacqxWg0U5Xlk7RNpscEgkTN4COKZPno9FNOq63nlQV+Sy5sDIx5owTPdnyCJO47eT8YY2Gl+xFgGIU6NlecnqVYFX5CLcFY9Dx6UeJg6uYxJU47ZPcqnXLyjwq5/x2mDOPe9H3sjIbe/vv6Bay9u2o2MY330l7c8eOVPfv3guF17KsjawXiTwQyi1BmUSoqcfxmUZYvLm1kRuEUC4In5lhHwDcATEuV+R0CPpqSp4I8BQ6kCaCDOGYfRr+wP9bkC6qgUI+J+tfhQlHuj/Y54ShshyvQ1+ZrSF++vlHwznjMWrHjHmFHijalT1gQY4dHap4SIyNIH181FLl9A08TTd9rNp10CuD8npOOg4OyAhur3p83qbkP/YPXnF3zwJFLKZa74xQ33jNu5awiCWaj7BGlZ7mPyaaQ4lUDSKskH3Yd9qcnZk6WTY2fTSMaCQVGUbS0HBbGDSEjKNgKKQaN9g3ztKGpJEBbMDPamkPSFgFNFwRAw8lHiaWxEo0Ainumj5LXIHxCH7kWcHxN+Wc4pXJfB9TjsTDtKzafttEonfYn7+Dmz2g4WzA4ewAGgtSmHkeGRaz985mKvOUevvmnFAy2rN+zGsEshFwKVTY32ySaBpM820YEa6OAkJb2WJG61Gpihg1qlGKlUJKISiDZUwKfeK4W2uxbQSdtNOnwSYJEjyhGUeCDKXE3DGZVFUIPKswJpqkqwnr2ZtBUmWBnnXf12AVXz4QsLLpmGtoknDORbl37B4/QXjrP38savdzuoAAeAYqmIeqNx3RlvO6J/80tbZ0yY3PnNn93yhJ3LZJC3Q+sAJWYQtgCMQrPgEeARA5+a1loFf2p/miMa69oEAE2VGnUrHn/RsX+7MDdI2ovhZmjVpUXXtokCWglg828YyOE0ttpcTnwXZok3EYX5tdtFJP2ENd5J2E885DIjaBp/krtrcMIXm8YvXcfs3B8sZuNgt4MOcADIOA6/feWqW899zzJn5RMbK5xlr7l35TOkWqnRaljZFFREq0hH9a00kIm4WCUxLLVBO6hidaWFlyBNHAdjUFCSHAww1qsPDyJ7AXecBK5jJ2pKnwAAHkzepTTUryFAJfY4guVHQuvNYxxGKz4ES5GQcOU0hNYcKVSFKINCfS5/W8DrLRYs8NpwGSy7xLPNx4p8y+xPNU2e81/wn24QdszBhlWElTdFe/uxh2HDtpHGnJld1x0xb3rvKUtmXTprajsqtSoqLkdDkOjCRUBSH2NwaWo8VBUjYcFlhQoYIIahiiAd3CbQo0aSXUaaid6XQi/MqWlm1BJyP46wrFqsi3PzvaR+LbXsRGKVDmwzy5FRDttuwLZGYOc7QHOHX2rl5vQKOuO6xvBQg1hvDnADbyKAA8CpR/fi6PnTqwM7dr6w/C8fuvLSjzd97RPvbvdLtgfP9UNHMsmzMQaYI55sqCAmJQm4OdEGRYBzZdY8FFDTdHDHiogxX1O22OcL/qqgDV/gGsh0YMrX4gQqcxCQxPGc68Efzkn4XlLDTvZp2nf0WSQaOJS6sG2OTYNz/D89N+trk3tPvXJgYM8Ldn5uNVNeeLBhpLU3VAff13bvbTdg1e0TxeKjPn3/b3/9m0xDsMX9u4cs4tdBBYfFiF6hiijatyzRxohRDs3QuEm4UkMkxRmat1IPPJAPiUFR4r80PBaKHg4oNEo+EfodRLa9UhmzEfV941tDfBczBl/UH34/7QN11SfwX+Iyb0SRH4O6hByEMDi5FpTHLat3zvjItxYd9rb/09p9uDj5bf/jYMNmrNP15m19uwbgCguU8CueeGr90h9ceyutVGpL+3b0WxmbhUAHLCZgM8BiYRk3FpdUi/VwHdyxzm3o3zRWSdQ6gya4qUllDLBpDrH8TwE4YIBcOSbhX8CYWJ0o/SYMjT8u/UYiQ6Bq6HrpN8aCvxbjsJiAZXHYlg+LyZqFPgg8ZHKtnm1nH+qY/m5eaJr1kO+TLzkOB2EHTwZ8pfamBrjarv7pCmQcqzQwOPLTZ57b9L6Nm7fT4ZEqHJvBsQQcBthWCHJGNItuWm5CiKauaEEdBcjBWjx6n17kR7HIxtkkiQ0kAA6kW2/T8utOcwxyFgKWGQCP+qJjRRSFVEFOCGJwh0Ee2xKwbR+OxWFbHgg8UCuPQmkiLzZN+43llD7OuTs8aeZrL+nwRrS/G4ADwN+e2YBCPtu+buO2i+6476+Hbt4+eNbfVq9DS5GikKWwLcBmJLTgsRVXAzYwwK5Vp1KseFw5ligWPga8NhvfPJsCGMur3J/i+Okqjmm9JS3TQ+oRwBUwx0lqBDSMQjIZDWYCNuOwbQ7H4nDsBnKZCppaZ0HQ9uWtHYtXF8qTvud71V3F5pkHGwr7fg4P9hd4NW3Vsy+hpbnY/ZfHnv/uk089f9aqVatRHRlEPseQdZjBwZWAURpgiFodNqYkep5KvEJabPH1uZtmS1TBSNsnJbITy3HxXwK9rFyi7HLUJ5RKuCJ6LZJRiX53IEQeIwJqwoLKB7bVQFNTHpMmz0HLuJ7lheZDLvbckU2ZwvSDfen3u/1dAhwAXtq2G7Ztz3x6zfr5lcrIRatXP3f86jXPY3RkGBnHgsUILBYAVLYkeEyrrZY4Jlo/Y6rzqQeDVMutRRhTQC7kTsYx0XZKyDC+4xDFQo+RYEbN3BM5IVso6QDxZZfW22ICBC5KxSI6J89Cx6RZD2Rz2e81tc54ivveWjs77mBf8lfV3hSBnlfTJne2AcBaIcRaAKsJdycuXjj3J08/8/zMx598ikF4ARdnQS09zoOFmaR8pmna0JUJPf9ESbZSrTjV30ObU0niz0iAfCzLHkl9wQ7qcYQAghJQEgRrIBAsvx2+f1poPqpnqLxH8MYEPg+nqwWBe9iWAGMWpkxb4Hd29awVov6/JnYfsx3AC69mvaE3U/v7/vZK27lrN3zf7163fvMk27Zvuu/+B8o7d7xcqFUr8LlA3RXwPBEBT+rZcbotDSwh0603oyTqM5UZee3N3G3O42hishSESDiekZbN5QAMo40y1YnoPoFcpJax5IKyjKmrVwQLx1KFonAOuB5BvUFQdwVKxQImd3WMzj/86CEhvHNa2ydvpZRtKpZaDvYlPSDtLQNwAOCcgxBCB4eGm9av37CEEvEfa9eu89Y8+0LrS9t2lqpVD57PQSlgW9RYkoRG3N1coZgxGv5F5MCaAOehVZTWkYsxKIoJcMQDw/cFOBfgIvgbXaSQnsjBxhiBFX4fla6w6BGvBCEBHqy8AAAUDc8Cc9qGOzpn9E+dPsNybPKxyV1TH87kioMQ4IS+dWDxpopkvuYfQykIIbxWHR2Y3NV5R7lc7rnttt/P+OAH3veNpUcd+cy48eNXFUvlWj6XB+c8eIT39Th4Y+aaxBMbpMZuhZJk9Aj7JG2Jp5OZeXh6I9G/uHEu4Hscni/gevHD9wU8X8DnQh9A6p1DnQ0EABDh7/SRzebRVC7W2tvbV809ZOEzp57+nm8sX75iRqFQ7Glp67hjcHh0gBDylgJ3cI7f4m3jxk2wLYvcfd+fwWGxcqlwTaNe69m4aeOxW7f1sUa9DsCH73vIOhZsmxmTHQJn1bYIHFuCOlYogHDtUx9ouAR1F2h4AVCh0CF5qiXHVpO5gjuAQMPjaLgcrsvh+0JziikNvoNlUTg2hW3R4I4i1wiIFBYOi/pwHBuOTZHNZdDUPN7v7JyyMp/PvFCvjX6yUvX9nt6l8H1PdEycfLAv0eva3vIAN9vAnj3IZjMtfTt2Xb7i93c7W156yc/nsgsJEYtGR/agXqtACMCyrIgW2DaDYwO5DJBxBBxbwGYioihcEHgeQbVOMFwBqvUAoCqHlw5hQEEC0EqaQSjA/eC40YqLaj2w4CrALUZg2xQZmyKbYcjYNKQfgb3m3AfnAuVyAZ0drWCMPO65tScmTZrEDjnshEax2PYvntcYKJaaDvYleEPb362K8mpbS3MzAAwA+N8AcPud9wPA8b7vngJeO6darc0eGalgw4b1aDRcjFaqcD0XlDDQLEXWJshlBWyLR+mmAoH1dGyK/iGB4VEOSgDbpqAOC+gNA3wfEd1gLFjvxrYAxw5A7PkEg6NArR4sA4Iwm48AsKxwFg04CPFhM4psxgKzsqCUYdq06bCcHHK57PPj2wo3ZTL2nRDigd75xx3sU35Q2z8cwM329lOWAcADg4MDD4DgQbfhz9jd38937drBS+XmaaVS8yV9fdvQUs7Aq/WB8N3IZzyU8i4IsTE46oBRoKVcw6a+OtZtzcJ1bZRyBIVcAPqMTVDMCzQaAgNDHuoNgUKOIetQZB2BUl6gVPDR1lzF89s9bOu30VoI6MaeUaDheihlgVKeoLurHTOmdaKYE5gyeRL6dg5cuWv3wIaFi5bQclMLZYytA3BHS8tbQwV5re0fHuCyNTW1AMAd8vm27TuQyTjN27Ztf8hxLJSLjtvWPPMztuWfnMt4YKyOO/+0Clniob3ZR0tzFfc8Dax5iSBH62gqEHS0MWQyAhajmNRWR8UbxX1PWXCrFqZ2WMGdgAm0lutoKdXR0uxh6zDBxpeLyGQJWkoUixY4GDdpMfIOQy5Dkc3Qu4hoXF3ICrtnzlwcfWzHAw23sadUbj/Yp/BN2f4b4GO0zonjAWAPgBUAMND/MgA8B+FPsBjnrlfD9sENmFQcBmUeLIuib4/v/vNZx1y2YevuMyzAnTzeQmvZRnszMLOrgpo/iJ5tOXjVHGZMZGhrttHexNE1YQTlkmeP1Dp+31a+7TJmW7bjMJSLFPN68uiZPw+2ZcNmhNoW6wOwoatr4sE+RX8X7R/OyXw9258eXAlK6IR7HlvfRHyIyeNsNJUstJaBaZ0V1P1B/PbBPLx6HlPHU7SULbSUOLrGD6FY8sn2PfMHCXjfIfMOzPId/92A/w8ZadfuU0YNBAAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxNzoyMzoyNiswMDowMDEy8jIAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTc6MjM6MjYrMDA6MDBAb0qOAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 1}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 11890254
    {'hecke_orbit_code': 1030808928992, 'n': 1, 'trace_an': 4}
  • id: 11890255
    {'hecke_orbit_code': 1030808928992, 'n': 2, 'trace_an': 0}
  • id: 11890256
    {'hecke_orbit_code': 1030808928992, 'n': 3, 'trace_an': -4}
  • id: 11890257
    {'hecke_orbit_code': 1030808928992, 'n': 4, 'trace_an': 0}
  • id: 11890258
    {'hecke_orbit_code': 1030808928992, 'n': 5, 'trace_an': 0}
  • id: 11890259
    {'hecke_orbit_code': 1030808928992, 'n': 6, 'trace_an': 0}
  • id: 11890260
    {'hecke_orbit_code': 1030808928992, 'n': 7, 'trace_an': 0}
  • id: 11890261
    {'hecke_orbit_code': 1030808928992, 'n': 8, 'trace_an': 0}
  • id: 11890262
    {'hecke_orbit_code': 1030808928992, 'n': 9, 'trace_an': 4}
  • id: 11890263
    {'hecke_orbit_code': 1030808928992, 'n': 10, 'trace_an': 0}
  • id: 11890264
    {'hecke_orbit_code': 1030808928992, 'n': 11, 'trace_an': 0}
  • id: 11890265
    {'hecke_orbit_code': 1030808928992, 'n': 12, 'trace_an': 0}
  • id: 11890266
    {'hecke_orbit_code': 1030808928992, 'n': 13, 'trace_an': 0}
  • id: 11890267
    {'hecke_orbit_code': 1030808928992, 'n': 14, 'trace_an': 0}
  • id: 11890268
    {'hecke_orbit_code': 1030808928992, 'n': 15, 'trace_an': 0}
  • id: 11890269
    {'hecke_orbit_code': 1030808928992, 'n': 16, 'trace_an': -4}
  • id: 11890270
    {'hecke_orbit_code': 1030808928992, 'n': 17, 'trace_an': 0}
  • id: 11890271
    {'hecke_orbit_code': 1030808928992, 'n': 18, 'trace_an': 0}
  • id: 11890272
    {'hecke_orbit_code': 1030808928992, 'n': 19, 'trace_an': 0}
  • id: 11890273
    {'hecke_orbit_code': 1030808928992, 'n': 20, 'trace_an': 0}
  • id: 11890274
    {'hecke_orbit_code': 1030808928992, 'n': 21, 'trace_an': 0}
  • id: 11890275
    {'hecke_orbit_code': 1030808928992, 'n': 22, 'trace_an': 0}
  • id: 11890276
    {'hecke_orbit_code': 1030808928992, 'n': 23, 'trace_an': 0}
  • id: 11890277
    {'hecke_orbit_code': 1030808928992, 'n': 24, 'trace_an': -4}
  • id: 11890278
    {'hecke_orbit_code': 1030808928992, 'n': 25, 'trace_an': 0}
  • id: 11890279
    {'hecke_orbit_code': 1030808928992, 'n': 26, 'trace_an': -4}
  • id: 11890280
    {'hecke_orbit_code': 1030808928992, 'n': 27, 'trace_an': -4}
  • id: 11890281
    {'hecke_orbit_code': 1030808928992, 'n': 28, 'trace_an': 0}
  • id: 11890282
    {'hecke_orbit_code': 1030808928992, 'n': 29, 'trace_an': 0}
  • id: 11890283
    {'hecke_orbit_code': 1030808928992, 'n': 30, 'trace_an': 0}
  • id: 11890284
    {'hecke_orbit_code': 1030808928992, 'n': 31, 'trace_an': 0}
  • id: 11890285
    {'hecke_orbit_code': 1030808928992, 'n': 32, 'trace_an': 0}
  • id: 11890286
    {'hecke_orbit_code': 1030808928992, 'n': 33, 'trace_an': 0}
  • id: 11890287
    {'hecke_orbit_code': 1030808928992, 'n': 34, 'trace_an': 0}
  • id: 11890288
    {'hecke_orbit_code': 1030808928992, 'n': 35, 'trace_an': 0}
  • id: 11890289
    {'hecke_orbit_code': 1030808928992, 'n': 36, 'trace_an': -4}
  • id: 11890290
    {'hecke_orbit_code': 1030808928992, 'n': 37, 'trace_an': 0}
  • id: 11890291
    {'hecke_orbit_code': 1030808928992, 'n': 38, 'trace_an': 0}
  • id: 11890292
    {'hecke_orbit_code': 1030808928992, 'n': 39, 'trace_an': -4}
  • id: 11890293
    {'hecke_orbit_code': 1030808928992, 'n': 40, 'trace_an': 0}
  • id: 11890294
    {'hecke_orbit_code': 1030808928992, 'n': 41, 'trace_an': 0}
  • id: 11890295
    {'hecke_orbit_code': 1030808928992, 'n': 42, 'trace_an': 0}
  • id: 11890296
    {'hecke_orbit_code': 1030808928992, 'n': 43, 'trace_an': 0}
  • id: 11890297
    {'hecke_orbit_code': 1030808928992, 'n': 44, 'trace_an': 0}
  • id: 11890298
    {'hecke_orbit_code': 1030808928992, 'n': 45, 'trace_an': 0}
  • id: 11890299
    {'hecke_orbit_code': 1030808928992, 'n': 46, 'trace_an': 0}
  • id: 11890300
    {'hecke_orbit_code': 1030808928992, 'n': 47, 'trace_an': 0}
  • id: 11890301
    {'hecke_orbit_code': 1030808928992, 'n': 48, 'trace_an': 4}
  • id: 11890302
    {'hecke_orbit_code': 1030808928992, 'n': 49, 'trace_an': 0}
  • id: 11890303
    {'hecke_orbit_code': 1030808928992, 'n': 50, 'trace_an': 4}
  • id: 11890304
    {'hecke_orbit_code': 1030808928992, 'n': 51, 'trace_an': 0}
  • id: 11890305
    {'hecke_orbit_code': 1030808928992, 'n': 52, 'trace_an': 4}
  • id: 11890306
    {'hecke_orbit_code': 1030808928992, 'n': 53, 'trace_an': 0}
  • id: 11890307
    {'hecke_orbit_code': 1030808928992, 'n': 54, 'trace_an': -4}
  • id: 11890308
    {'hecke_orbit_code': 1030808928992, 'n': 55, 'trace_an': 0}
  • id: 11890309
    {'hecke_orbit_code': 1030808928992, 'n': 56, 'trace_an': 0}
  • id: 11890310
    {'hecke_orbit_code': 1030808928992, 'n': 57, 'trace_an': 0}
  • id: 11890311
    {'hecke_orbit_code': 1030808928992, 'n': 58, 'trace_an': 4}
  • id: 11890312
    {'hecke_orbit_code': 1030808928992, 'n': 59, 'trace_an': 0}
  • id: 11890313
    {'hecke_orbit_code': 1030808928992, 'n': 60, 'trace_an': 0}
  • id: 11890314
    {'hecke_orbit_code': 1030808928992, 'n': 61, 'trace_an': 0}
  • id: 11890315
    {'hecke_orbit_code': 1030808928992, 'n': 62, 'trace_an': -4}
  • id: 11890316
    {'hecke_orbit_code': 1030808928992, 'n': 63, 'trace_an': 0}
  • id: 11890317
    {'hecke_orbit_code': 1030808928992, 'n': 64, 'trace_an': 0}
  • id: 11890318
    {'hecke_orbit_code': 1030808928992, 'n': 65, 'trace_an': 0}
  • id: 11890319
    {'hecke_orbit_code': 1030808928992, 'n': 66, 'trace_an': 0}
  • id: 11890320
    {'hecke_orbit_code': 1030808928992, 'n': 67, 'trace_an': 0}
  • id: 11890321
    {'hecke_orbit_code': 1030808928992, 'n': 68, 'trace_an': 0}
  • id: 11890322
    {'hecke_orbit_code': 1030808928992, 'n': 69, 'trace_an': 0}
  • id: 11890323
    {'hecke_orbit_code': 1030808928992, 'n': 70, 'trace_an': 0}
  • id: 11890324
    {'hecke_orbit_code': 1030808928992, 'n': 71, 'trace_an': 4}
  • id: 11890325
    {'hecke_orbit_code': 1030808928992, 'n': 72, 'trace_an': 4}
  • id: 11890326
    {'hecke_orbit_code': 1030808928992, 'n': 73, 'trace_an': 0}
  • id: 11890327
    {'hecke_orbit_code': 1030808928992, 'n': 74, 'trace_an': 0}
  • id: 11890328
    {'hecke_orbit_code': 1030808928992, 'n': 75, 'trace_an': 4}
  • id: 11890329
    {'hecke_orbit_code': 1030808928992, 'n': 76, 'trace_an': 0}
  • id: 11890330
    {'hecke_orbit_code': 1030808928992, 'n': 77, 'trace_an': 0}
  • id: 11890331
    {'hecke_orbit_code': 1030808928992, 'n': 78, 'trace_an': 8}
  • id: 11890332
    {'hecke_orbit_code': 1030808928992, 'n': 79, 'trace_an': 0}
  • id: 11890333
    {'hecke_orbit_code': 1030808928992, 'n': 80, 'trace_an': 0}
  • id: 11890334
    {'hecke_orbit_code': 1030808928992, 'n': 81, 'trace_an': 0}
  • id: 11890335
    {'hecke_orbit_code': 1030808928992, 'n': 82, 'trace_an': 0}
  • id: 11890336
    {'hecke_orbit_code': 1030808928992, 'n': 83, 'trace_an': 0}
  • id: 11890337
    {'hecke_orbit_code': 1030808928992, 'n': 84, 'trace_an': 0}
  • id: 11890338
    {'hecke_orbit_code': 1030808928992, 'n': 85, 'trace_an': 0}
  • id: 11890339
    {'hecke_orbit_code': 1030808928992, 'n': 86, 'trace_an': 0}
  • id: 11890340
    {'hecke_orbit_code': 1030808928992, 'n': 87, 'trace_an': 4}
  • id: 11890341
    {'hecke_orbit_code': 1030808928992, 'n': 88, 'trace_an': 0}
  • id: 11890342
    {'hecke_orbit_code': 1030808928992, 'n': 89, 'trace_an': 0}
  • id: 11890343
    {'hecke_orbit_code': 1030808928992, 'n': 90, 'trace_an': 0}
  • id: 11890344
    {'hecke_orbit_code': 1030808928992, 'n': 91, 'trace_an': 0}
  • id: 11890345
    {'hecke_orbit_code': 1030808928992, 'n': 92, 'trace_an': 0}
  • id: 11890346
    {'hecke_orbit_code': 1030808928992, 'n': 93, 'trace_an': -4}
  • id: 11890347
    {'hecke_orbit_code': 1030808928992, 'n': 94, 'trace_an': 0}
  • id: 11890348
    {'hecke_orbit_code': 1030808928992, 'n': 95, 'trace_an': 0}
  • id: 11890349
    {'hecke_orbit_code': 1030808928992, 'n': 96, 'trace_an': 0}
  • id: 11890350
    {'hecke_orbit_code': 1030808928992, 'n': 97, 'trace_an': 0}
  • id: 11890351
    {'hecke_orbit_code': 1030808928992, 'n': 98, 'trace_an': 0}
  • id: 11890352
    {'hecke_orbit_code': 1030808928992, 'n': 99, 'trace_an': 0}
  • id: 11890353
    {'hecke_orbit_code': 1030808928992, 'n': 100, 'trace_an': 0}