Newform data - 2800.1.z.b

Formats: - HTML - YAML - JSON - 2025-12-18T06:31:50.254463

• 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': 2800, 'analytic_conductor': 1.3973820353724067, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 112, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 26, 'char_orbit_label': 'z', 'char_order': 4, 'char_parity': -1, 'char_values': [2800, 4, [351, 2101, 2577, 801], [4, 1, 4, 2]], 'cm_discs': [-7], 'conrey_index': 1301, 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[11, [1, 2, 2, -2, 1]], [37, [1, 2, 2, -2, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505317631068912, '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, 7, 2, -1, 2, -7], [1, 1, 16, 5, 1, 4, 0], [1, 1, 112, 12, -1, 4, 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': '2800.1.z.b', 'level': 2800, '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, 5, 7], 'level_radical': 70, 'minimal_twist': '2800.1.z.b', 'nf_label': '4.0.144.1', 'prim_orbit_index': 12, 'projective_field': [9800, 0, 5600, 0, 1640, 0, 72, 0, 82, 0, 4, 0, 1], 'projective_image': 'D12', 'projective_image_type': 'Dn', 'qexp_display': 'q+\\zeta_{12}^{5}q^{2}-\\zeta_{12}^{4}q^{4}-\\zeta_{12}^{3}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'self_twist_discs': [-7], 'self_twist_type': 1, 'space_label': '2800.1.z', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1925293809506758205, 'trace_moments': [{'__RealLiteral__': 0, 'data': '-0.004', 'prec': 20}, {'__RealLiteral__': 0, 'data': '3.883', 'prec': 17}, {'__RealLiteral__': 0, 'data': '-0.482', 'prec': 20}, {'__RealLiteral__': 0, 'data': '116.763', 'prec': 24}, {'__RealLiteral__': 0, 'data': '-31.813', 'prec': 24}, {'__RealLiteral__': 0, 'data': '5852.016', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.692', 'prec': 17}, 'traces': [4, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, -2, 0, -2, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -2, -2, 0, 0, 0, 0, -4, 0, 0, 0, 4, 0, 0, 4, 0, 2, 0, 0, 0, 0, 4, -4, 0, 0, -2, 0, 0, 0, 0, -4, 0, 4, 0, 0, -2, 0, 0, 0, -4, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 4, 0, -2, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 4, -2, 0, 0, 0, 0, 4, 0, 0, 0, -6, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -4, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 2, -4, 0, 0, 0, 0, 2, 0, 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0, 0, -8, 0, 0, 0, 0, 0, 0, 2, 0, 0, -2, 0, -2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, -2, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, -4, 2, 6, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 4, 0, 0, 0, 0, 0, 4, 0, 0, 4, 0, 0, 0, 2, -6, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, -2, 0, 4, 0, 0, 0, 0, 2, 2, 0, 0, 0, 0, 0, 0, 4, 0, 0, -2, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 2, 0, 0, 2, 0, 0, 0, 4, 0, 0, -4, 0, 8, 0, 0, 0, 0, 0, -2, 4, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 4, 0, 0, -2, 0, 0, 2, 0, 0, 0, -2, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, -2, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, -4, -2, 0, 0, 6, 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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, 5]], [], [[-1, 4]], [], [], [[-1, 3]], [[1, 3]], [[1, 3]], [], [[-1, 4], [-1, 5]], [], [], [[1, 2]], [], [[-1, 2]], [], [[-1, 2]], [], [], [], [[1, 3], [1, 4]], [[-1, 2], [-1, 4]], [], [], [], [], [[-1, 1]], [[-1, 4], [1, 5]], [], [], [[1, 1]], [], [], [], [[1, 1]], [[-1, 1], [1, 2]], [], [], [], [], [], [[1, 4], [1, 5]], [[-1, 2], [-1, 3]], [], [[1, 1], [1, 3]], [], [], [[-1, 0]], [], [], [], [[1, 0], [-1, 3]], [], [], [[1, 0]], [], [[1, 3], [-1, 4]], [], [], [], [], [[1, 0]], [[-1, 0]], [], [], [[1, 4], [-1, 5]], [], [], [], [[-1, 3]], [[-1, 0]], [], [[1, 0], [-1, 1]], [], [], [[-1, 1], [-1, 2]], [], [[1, 1], [-1, 5]], [], [[-1, 0]], [], [], [], [], [[-1, 3], [-1, 4]], [], [[1, 1], [1, 2]], [], [], [], [[-1, 0], [-1, 2]], [], [], [], [], [], [[-1, 5]], [[1, 1], [1, 2]], []], 'ap': [[[1, 5]], [], [], [[-1, 3]], [[-1, 4], [-1, 5]], [], [], [], [[-1, 2], [-1, 4]], [[-1, 4], [1, 5]], [], [[-1, 1], [1, 2]], [], [[1, 4], [1, 5]], [], [[1, 0], [-1, 3]], [], [], [[1, 4], [-1, 5]], [[-1, 3]], [], [[1, 1], [-1, 5]], [], [], [], [], [], [[1, 0], [-1, 3]], [[-1, 1], [-1, 2]], [[1, 1], [-1, 5]], [[1, 0]], [], [], [], [[1, 4], [1, 5]], [[1, 2], [1, 4]], [], [[-1, 0], [-1, 3]], [], [], [[-1, 0], [-1, 3]], [], [], [[1, 1], [-1, 5]], [[-1, 4], [-1, 5]], [], [[1, 0], [1, 3]], [], [], [], [[1, 2], [1, 4]], [[1, 0], [1, 0]], [], [], [], [[1, 3]], [], [], [[-1, 0], [1, 3]], [[1, 2], [1, 4]], [], [], [], [], [], [[-1, 4], [1, 5]], [[-1, 1], [1, 2]], [], [[1, 4], [1, 5]], [], [], [[-1, 2], [-1, 4]], [], [[-1, 1], [1, 2]], [[-1, 1], [1, 2]], [], [[-1, 1], [1, 2]], [], [[-1, 1], [1, 5]], [], [], [[1, 4], [1, 5]], [[-1, 0], [-1, 0]], [], [], [[-1, 0], [1, 3]], [[1, 0]], [[1, 3]], [], [], [], [], [[-1, 2], [-1, 4]], [[1, 1], [-1, 2]], [[-1, 0], [-1, 3]], [], [], [], [], [[1, 4], [-1, 5]], [[1, 1], [1, 2]], [[1, 4], [-1, 5]], [], [[-1, 3]], [[1, 1], [-1, 2]], [], [], [], [[-1, 3]], [], [], [[1, 4], [1, 5]], [[1, 3]], [], [[1, 3]], [[1, 1], [-1, 5]], [], [], [[1, 0], [1, 3]], [[1, 0], [1, 3]], [], [[-1, 0], [-1, 0]], [], [[1, 1], [-1, 2]], [], [[1, 0], [1, 3]], [[1, 0], [-1, 3]], [], [], [], [[-1, 4], [1, 5]], [], [[1, 0], [1, 0]], [[1, 4], [1, 5]], [], [], [], [], [], [[1, 3]], [], [[-1, 0], [1, 3]], [[-1, 3]], [[-1, 1], [1, 2]], [], [], [], [], [], [[1, 1], [-1, 5]], [[-1, 0], [-1, 3]], [], [[1, 4], [-1, 5]], [], [[-1, 0], [1, 3]], [[-1, 0]], [[1, 3]], [], [], [], [[1, 0], [1, 3]], [[-1, 2], [-1, 4]], [], [], [[-1, 0]], [], [[-1, 1], [1, 5]], [], [[1, 1], [-1, 5]], [], [[-1, 4], [-1, 5]], [], [[1, 3]], [], [], [], [[-1, 4], [-1, 5]], [[1, 0], [-1, 3]], [], [], [[-1, 0]], [], [[1, 1], [-1, 2]], [], [[1, 0]], [], [[1, 1], [1, 2]], [], [[1, 2], [1, 4]], [], [], [[-1, 4], [-1, 5]], [[1, 1], [1, 2]], [], [[-1, 1], [-1, 2]], [], [[1, 1], [-1, 5]], [[1, 4], [-1, 5]], [], [], [[-1, 0], [-1, 3]], [], [], [], [], [], [], [[-1, 0], [-1, 3]], [[1, 3]], [], [[1, 1], [-1, 5]], [], [[1, 2], [1, 4]], [], [], [], [[-1, 1], [1, 5]], [], [[-1, 3]], [[-1, 4], [1, 5]], [[-1, 4], [-1, 5]], [], [[1, 0]], [[-1, 0]], [], [[-1, 0], [1, 3]], [], [[-1, 0]], [], [[1, 4], [1, 5]], [[-1, 1], [-1, 2]], [], [], [[1, 2], [1, 4]], [], [], [], [[1, 4], [1, 5]], [[1, 1], [-1, 2]], [], [[-1, 1], [-1, 2]], [], [], [[1, 4], [-1, 5]], [], [], [], [], [[-1, 0], [1, 3]], [], [[-1, 0], [-1, 3]], [], [[1, 3], [1, 3]], [], [], [[1, 0], [1, 3]], [[-1, 1], [1, 2]], [], [], [], [[-1, 0], [-1, 0]], [[-1, 4], [1, 5]], [], [], [], [], [[1, 4], [-1, 5]], [], [[1, 1], [-1, 2]], [[-1, 1], [1, 2]], [], [[-1, 0], [-1, 3]], [], [[1, 0]], [], [], [[-1, 4], [-1, 5]], [[1, 0], [1, 3]], [[-1, 3]], [], [], [[-1, 3], [-1, 3]], [], [], [], [[1, 0]], [[1, 0]], [[1, 1], [-1, 2]], [], [], [[-1, 1], [-1, 2]], [], [[1, 3]], [], [[1, 1], [1, 2]], [], [], [], [], [], [], [[1, 0], [1, 3]], [[-1, 1], [1, 5]]], 'char_orbit_index': 26, 'field_poly': [1, 0, -1, 0, 1], 'hecke_orbit_code': 4505317631068912, 'hecke_ring_character_values': [[351, [[1, 0]]], [2101, [[-1, 3]]], [2577, [[1, 0]]], [801, [[-1, 0]]]], 'hecke_ring_cyclotomic_generator': 12, 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '2800.1.z.b', 'level': 2800, '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': 2800, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 1.3973820353724067, 'char_conductor': 112, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 26, 'char_orbit_label': 'z', 'char_order': 4, 'char_parity': -1, 'char_values': [2800, 4, [351, 2101, 2577, 801], [4, 1, 4, 2]], 'conrey_index': 1301, 'cusp_dim': 16, 'dihedral_dim': 10, 'dim': 10, 'eis_dim': 24, 'eis_new_dim': 12, 'hecke_orbit_code': 1718003698416, 'hecke_orbit_dims': [2, 4, 4], 'label': '2800.1.z', 'level': 2800, '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, 5, 7], 'level_radical': 70, 'mf_dim': 40, 'mf_new_dim': 22, 'num_forms': 3, 'prim_orbit_index': 12, 'relative_dim': 5, 's4_dim': 0, 'sturm_bound': 480, 'trace_bound': 18, 'trace_display': [0, 0, 0, 0], 'traces': [10, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, -2, 0, -2, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -2, -2, 0, 0, 0, 0, -10, 0, 0, 0, -2, 0, 0, 10, 0, 2, 0, 0, 0, 0, -2, -10, 0, 0, -2, 0, 0, 0, 0, 2, 0, 10, 0, 0, -2, 0, 0, 0, -10, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, -2, 0, -2, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -2, -2, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -10, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 2, 2, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 10, 2, 0, 2, 0, 0, 0, -2, 0, 0, 0, 0, 0, 2, 0, -12, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 20, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -2, 0, 0, -2, 0, -2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 10, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, -4, 0, 0, 0, 0, -2, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -2, 0, 0, -2, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, -12, -2, 0, 2, 0, 0, 0, 0, -2, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, -2, -2, 0, 10, 0, 0, 0, 2, 0, 0, -20, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -4, 0, -10, 0, 0, 0, 0, 0, 0, 12, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 2, 0, 0, 0, -8, 0, 0, -14, 0, 0, 0, 0, 0, 0, 2, 0, 0, -2, 0, -2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, -2, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 2, 2, 12, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, -2, 0, 0, 0, 0, 0, 10, 0, 0, -2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, -2, 0, -2, 0, 0, 0, 0, 2, 2, 0, 0, 0, 0, 0, 0, 10, 0, 0, -2, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 2, 0, 0, 2, 0, 0, 0, 10, 0, 0, -10, 0, 20, 0, 0, 0, 0, 0, -2, -2, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, -2, 0, 0, -8, 0, 0, 2, 0, 0, 0, -2, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, -8, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 2, -2, 0, 0, 12, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, -2, 0, 0, -2, 0, 0, 0, 0, -2, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -4, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -4, -2, 0, 0, 0, 0, 0, 0, -2, 0, 4, 0, 0, 0, 0, 10, 0, -2, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 2, 2, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 2, 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: 1000444
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 26, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '2800.1.z.b', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 1}
  • id: 1000445
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -7, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 26, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '2800.1.z.b', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 1000446
    {'conductor': 16, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 26, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '2800.1.z.b', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 1}
  • id: 1000447
    {'conductor': 112, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 26, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '2800.1.z.b', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '112.l', 'twisting_char_orbit': 12, 'weight': 1}
  • id: 1000448
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 26, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '2800.1.z.c', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 1000449
    {'conductor': 35, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 26, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '2800.1.z.c', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '35.c', 'twisting_char_orbit': 3, 'weight': 1}
  • id: 1000450
    {'conductor': 80, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 26, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '2800.1.z.c', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '80.q', 'twisting_char_orbit': 17, 'weight': 1}
  • id: 1000451
    {'conductor': 560, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 26, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '2800.1.z.c', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '560.bf', 'twisting_char_orbit': 32, 'weight': 1}
  • id: 1000452
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 32, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '2800.1.bf.c', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 1}
  • id: 1000453
    {'conductor': 35, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 32, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '2800.1.bf.c', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '35.f', 'twisting_char_orbit': 6, 'weight': 1}
  • id: 1000454
    {'conductor': 80, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 32, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '2800.1.bf.c', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '80.t', 'twisting_char_orbit': 20, 'weight': 1}
  • id: 1000455
    {'conductor': 560, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 32, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '2800.1.bf.c', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '560.r', 'twisting_char_orbit': 18, 'weight': 1}
  • id: 1000456
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 32, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '2800.1.bf.d', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 1}
  • id: 1000457
    {'conductor': 35, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 32, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '2800.1.bf.d', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '35.f', 'twisting_char_orbit': 6, 'weight': 1}
  • id: 1000458
    {'conductor': 80, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 32, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '2800.1.bf.d', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '80.i', 'twisting_char_orbit': 9, 'weight': 1}
  • id: 1000459
    {'conductor': 560, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 26, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2800.1.z.b', 'source_level': 2800, 'target_char_orbit': 32, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '2800.1.bf.d', 'target_level': 2800, 'twist_class_label': '2800.1.z.b', 'twist_class_level': 2800, 'twisting_char_label': '560.bn', 'twisting_char_orbit': 40, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2855675
    {'charpoly_factorization': [[[1, 0, -1, 0, 1], 1]], 'hecke_orbit_code': 4505317631068912, 'p': 2}
  • id: 2855676
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, 'p': 3}
  • id: 2855677
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, 'p': 5}
  • id: 2855678
    {'charpoly_factorization': [[[1, 0, 1], 2]], 'hecke_orbit_code': 4505317631068912, 'p': 7}
  • id: 2855679
    {'charpoly_factorization': [[[1, 2, 2, -2, 1], 1]], 'hecke_orbit_code': 4505317631068912, 'p': 11}
  • id: 2855680
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, 'p': 13}
  • id: 2855681
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, 'p': 17}
  • id: 2855682
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, 'p': 19}
  • id: 2855683
    {'charpoly_factorization': [[[3, 0, 1], 2]], 'hecke_orbit_code': 4505317631068912, 'p': 23}
  • id: 2855684
    {'charpoly_factorization': [[[1, 2, 2, -2, 1], 1]], 'hecke_orbit_code': 4505317631068912, 'p': 29}
  • id: 2855685
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, 'p': 31}
  • id: 2855686
    {'charpoly_factorization': [[[1, 2, 2, -2, 1], 1]], 'hecke_orbit_code': 4505317631068912, 'p': 37}
  • id: 2855687
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, 'p': 41}
  • id: 2855688
    {'charpoly_factorization': [[[1, -2, 2, 2, 1], 1]], 'hecke_orbit_code': 4505317631068912, 'p': 43}
  • id: 2855689
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, 'p': 47}
  • id: 2855690
    {'charpoly_factorization': [[[2, -2, 1], 2]], 'hecke_orbit_code': 4505317631068912, 'p': 53}
  • id: 2855691
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, 'p': 59}
  • id: 2855692
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, 'p': 61}
  • id: 2855693
    {'charpoly_factorization': [[[1, -2, 2, 2, 1], 1]], 'hecke_orbit_code': 4505317631068912, 'p': 67}
  • id: 2855694
    {'charpoly_factorization': [[[1, 0, 1], 2]], 'hecke_orbit_code': 4505317631068912, 'p': 71}
  • id: 2855695
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, 'p': 73}
  • id: 2855696
    {'charpoly_factorization': [[[-3, 0, 1], 2]], 'hecke_orbit_code': 4505317631068912, 'p': 79}
  • id: 2855697
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, 'p': 83}
  • id: 2855698
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, 'p': 89}
  • id: 2855699
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505317631068912, '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': 26, 'hecke_orbit': 2, 'label': '2800.1.z.b', 'level': 2800, 'portrait': 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sb4yhBrQZwGLHYkg5FP4AmE0cxNadZNpix1QjoDwTDxWe4LNk5qFtua4+cUNT9g4wxsnYvYMDtk/eyIjbMjtm4wbN+ouGybT101OXJ8gq8+EfDQ/oTHjsWkqsu3vajNm15gqKtZ9h+b4shpj1PnU846cB9cMFx/xTy/8PZltq2b5PT5Kc4v11hs+yy1JcvdlG4/pTcU7D+6wL7j7cse3X/uxUdOnLng6Klzn7/xlW+O7rrlo882JL6u2z9pBl9abhNFBqV4150PHXzBz/7OR+R3vvDwC/7zm09555c2stSZYHGlwWI7YLHtsdiGpXbKUjtmcSXl7AocWhTMrVvhl79vkedd3ODEuRlOn29yesHj3KLh7ELCyfmU892EqZkhL7yqx/MvhUDWCVXIuaUaZxY8zi4J+iNIEk0t0DRrKdOTCRo4djah04MdG3ya9RHGCBABvYFm+8YRiyseGCtFVnowSsBgWGpHbFnv0x0ohDIIPWKi5rN905CVvuDYaY9Ue8xOSFo1QehDkgj6I8nZJcmZRcO55YQwHIKfcOPlPV5whWBuos7i8gQnzoWcXoBzCwnnlhJOLcGhRcNzL1/gV75vmY1TExw/O8PZxTrzywELbcnSSspyJ2a5k7LUNSx0BSc6sLLU4bf/8zD53teGd6uZH9N+/Yq7JfpnU3zC2sSzDZWnvf2TZfC/+MDHuOn51/KTP/mTv/pXf3vbf/6TD922+8nj7QsOne7LF1zZ58LNKWnqYYzCGMveGAlIQCCEwROGQMLpxTr3HZRctWuJS7cNadTA9ySBrwgCj2Zd0vAl/Z7PvqM1vvBQwLHzIzpJzL4TIzbMLvH6Fy5z1e4uz720zdGFhIW+oBEOOXza0O40ufJCycowZc9RRavh8eQxuGizYRilDNMAz4uZbsHeEyHKS/FlgufDYCR53qV9Bn3JVbtTOoOUY6db7NyoaDYiVkaG9VN9lnsd/vo2eORIymNHhuzYvMjVl3SYnol43Y1dvuMlhl0bW6TxFEdOTXLopM+Js5qT52NOnk85dF5wfCXmORfP88vf12XD1BQnzs5wbrHB/ErAYluy3E5pd2NWeinLPcNSD871FcudhOsvW+Ad/+K8rHnigvNnTuzs9dMbaq2d9Xpz+osP3vNJ/vhPP/RsQ2bN2z9JBv/LD32Mi3dtUg89duS/Hj1+9uceevyoOr0YMT/0ONPXXLXjHL/1Y/Ncs6vBucVpFtsNlto1lto+Sx2P5S4st1OWOwlL3YSFNpxYFnj1ITddscR3viRi5/omK70Jzi/VmV8KWGgLltpWIix3NZ2BpjMy9IcJsxMx2zdoQBD6hpPnfYQM2bFesXOzYfP6PueWRzx6oMV1Fxka9WWeODhDqxkRRT6z05rBEC7bPuSDt01xybaE0ciwblISpwNatZAnjw6p+02uuTjhscMR5xYDtsyG7NwE2zdGKBVzcgEC3yCEYceGhOmWpDsI6fV9On2fpY5iaQUW25qldspCO+VsGxaHKdu39PjOly5w06UeNX+CMwsTLCzXWFjxWOoIltualW7McjdlpWdY7MHZruLcSsLzLjnLu39skYu2NlhcmWCpXaczmMKr7UprzY2/KhsX/ooenk5f8JJ/8WxDZ9XtnxTA9+/bT61eq58+dXL7Aw898bYjx07/t/2HThIlks4AlgeC833F6W7Ccy88y//4sSWuvrDO+eVpFlcaLHdqLHV8ljseyx1odzUr3YTlbsJSx3CuLTjdMyB6vOlFbV73PM2Fm2pEUYPldo2VXkC7q1juCbp9wXBkiBJDmoKShtCHemiYmjCsn4nx/CGHzkQ8fjBEJ01ec0OE56/w4J5JLtgEn70v4UVXhpxvD6h5iiSNmZmGJPbx/ITFxQYvvLbDZ+9psXMTPHBghE+DVz9Pk4gBjx9KOXKyhicDNkx7TDcF9VAQBAIlINEQxYZhBN2+YaWn6fY1K33NYs8wSFN2bO3zuue3edMLItAtFlcmOb9Ut3q747HchpVuSruXsOLAvdSHMx3FfCfluRef490/dp7Ld9RZWJ5iudug3Qtpd306XUGttYVaa+PPb9h06d9s3brl+Gg4HOy++JJnG0r57Z8MwI8fO8D69euCA/sP/cC+/Qf/4L4HHhaLSz05jAz9oaY3NHQGsDKQnB9IznRjnrf7PL/xw4tcu7vGwsoUiytNljshK92A5a7HSlfQ7hravZSVbkK7p1nuGc53BWfamumpPt/y3C43XpqwY4Niou7T6dYIfQkookSitUAb6A8BoZluDTlwyqBNxK0PNBn16+zeEnDTVX1ivcIdD01xzUU+B872aC9P8Pyr+nzxwZANM4Y9xwz/9o0d9hwN2TAj+cJDipsuUyz1Oxw+McM1F0fc8fiAZNTgxssDdm0bMkh63PKgglRw6KTHRMPDE9AfSLQRpNoQJ4DUeIGm3TM0WzHbNo14wWV9vuW6hNlmjXNLkyyu1Fnu2HOz3BG0e9DuJrR7Ce1eSrtvWOpLznYFC92EGy6Z51d/eJ6rd9aYX5lkpdug0wvp9AI6fY/+UNIbCGJd0xfsutJccMGud1y4a/efLyzMR5dd+k8D5P8kAJ4kiYxGg9c/dN9ndvf66bvvu+9BvzcEC+6EwVDTG2h6I0N3IGgPBOcHktPthBsvO8+7fnie63YFrHQmmV9u0e7VWOkGrPQ82l1Fuw/dnqHTT+j0UnoDTbtvmO8J5nsQpyOuvmjAxpmUXt/w2uePuGCjJkklnjREMdz+aI3j52tsmk544lANdINLtyquvUQT1vo8eKDP/EKTKy5oMjG1zD2P+Vx/UY3F/grLyxNs3Gi4b4/iX768x/17PLau91notVlemuHay/rc80TKTH2KK3b3ON9uc99TU9S9Js+9xHDx9iHIHo8eEayfiTk3H3PHoz7DWCElpNpwwaaIb3l+RLen2DytufYiiKIGS+0GS+2QlZ5Pp69o9ySdHnT6KZ2edUs6fc1K37A0kJzqCNqDETddPM+v/NAyz73IXhztbp1OP6Tb9+kOPLp9RW8o6Q0F3V5KpxdzzbXPjY3xfvptb/n2g81m/dO+7+tnG1vPeiZzNOwTRf3vO3b4od86d/rAzPz8Mo26BGEDRTBg7HUohLUAhTBIaZDS4/79G/jZ93q88aYlvuvlS+zcEnF2cYIwqFMPAxqhT7Pu0a1LWgOfyaZHf5jSG6RsGGkGI0N3GLI0X+PkCUOUaE6dTQhDAwgCZfCkoD9QCHySvsdzLhDs2mzYvqXPKO3yufsVew9O86rrQq69bJn3f84QiAYXbOnz2D2KLVOKdRN9aqpOFPuc70Kz5rF1g+CRvRHXXlznJdcs8Bc3Dwj8Fq+8weCHfb50X8Rn723y1JE6F25ucMGmlLnpiJ3rYq68IEUpjafsOWqEIXNTIVHs0+0HPHHAtyUKAwfEAfSGhl7f/u3dQUpvYOgMDCsDmO8rzi0bGpNtfuI18/yLm0ZcfWGTMwsTtHs1ujm4FT33M/tDwWBoGMWGJBXcedf9/uTU7G9t2nT/0otf9Lz/1O32/6LVavyfC/B41APBD504/NV3HXzytplhr0Pg+9S1wi4uwr3FFCFwh+2kUdKgZEogJY8dmOPh/U0OnD7PG1/Q4wWXD5lqTbDUbtDs1JgYBPT6nv1whpLB0KM/8hiODMNIE8WGODYkqT2iJMBokErge4JaIJhqCaZbsHGdZuuGPuum23z+QbjzYR+pJ3nVdT7PubTLXU/FRMMJbnqOoD0YcH6xyY0Xa9ZN9al7IcNEMd+JUVrwnIs9Gq0RD+2r8eJrJ3n+1V0e2qfATHLd5QE/+G1LfPGRiC/c32TP8Rrb5xQbZ+pMtxpMtqAegu8ZlARtYM8RQZoK4kQQJTCKsX/jKGUw0gxHmv5Q0x9pegPojGC+JznfhZEe8oprlnj9C9p8zys1STLB2YUmnV6N7iCgN/DpDRTdgaI/FDm4+yPNcJgyijWjyHDk2Bn+6qOfm+mPkv/++te+xOv0+u+daD57IH/WAB6NFhEi/cH5k3e869zRL6336NFsBKjIANnKlll+CiEEUuLADUoZPGXwlabuCxb6dT5821a+9HCHF125wttfscKVO3vMTjVYXGnQHYT0B74DtrJHJBjFkjgRJIld6m3tlg0qPQ9qATTqmplWzJb1fRJ6HDgV89d31Dh8oslUWOf6yz1uvKrDffvb3PrVCW64qMb2TX0+eJtAiZCJVsxKb4Q2oATMTfTpdAN0Uuf1LzrPhz/bYNe5Gq+7oU8UL3LH47PEaY3nXb6e113f4aJtbb70UJ/HTjR49EjA1hnJzISgEQoC316E0l382oDWhjhxF2tsGXYYaYYRDCLoDgXLI8FSF4Q35JpLVnj7t6zwostTZifqLHcatLt1uv2Q3tCnNyhWgv5IMhhC3104w6G7eCLDKIbUKE6ebfMXH/7C+u6Qd33Ht77QnD239GcbN8z8nwFw0/kFBt1d0PnQ9/cG8bt75/etC2SPVrOGGib2g4KcsRESIQRCSJT0kDJFKeGWZ42vDKFnqHuC5aFisT3NR25vcu8TPW66eoW3v3KFa3a1mU3rJElIf1ijN/AZjDyiWBEnkiSVpFqgjbBZUGEIA02jlhAGEYE/4tTiiJsfkBw8GXDk5DRKh+zaFHDZTsV1l3ZQ4TyPH2qxZarBFRfCxrllljoTXLlFkmjD5+8PGfUlU82EVz9vyKfviDl+tsUlu33OrAx58rDPtg3TXL1znrse63LPk4JRFHDpzhku3RZy6dYuh84scfAU3L+3wYHDTRqeIPQkzdBQ80FKe+6MsRdrkkKUQJQKeiNBZyjoxBDpBG2GPPeiDm//lg4vujJl00zIcDjJYrtGtxfSGwb0Bx69oaI/VAxGgsFQMhjZvtHhKLUev5N5w1i7FRGGieLsqQ5/8MEvr79nz9l3t5p+8vP/65Pv37fvCH/9u//+ny/Af/LXfg9av89g5Tu/p8Wh39Xdc1OBbNJsNJCjyGlry0RCKKSwH5qSAqUEnlLuXuOpFN8TBJ4m8A2hb2gEKVM1QXfks9yZ5mN3TnDbo0M2TPd520vbXLptyHDQ44qdhm0bFaPYJ02LNL/AIKXG91KOnTMcOStYGWg+dVeDUwvTmMhnuqbYPOuxY6PHhVvgil0dtFzgPZ9usrQ0yQ2Xelyxq82XHhWIxGf9tKTZSOjHAdJIMBLlBbSHgnNLgstNg5de1+Xuh+psXhdwwxUz/OtvW+DPP9vl/n1NekOfxZUWOzfXuWRTn+dd3OXNL+5yemmJT90VstgPOXbG59SpAF8JpJQIBNoYUg2xNqSJZno25qrL+4xGMZduG/GWl45YP6mYaYXEcY0z8zX6g4D+yK5ygxzY0oJ7JBiOsCvBKGUYaUZR6kBtGMaGQQSDSNCPBIPU4/ipDk8cuXPdlTunfvfG526O//p3Gx9aOvEuZrb97D8/gP/oL/4xrd2vFN/7n/Vbt04/9aff9fL9jSt3BqTawyAtqMnA7SMd2G0wKVFS4imBp9y9J/C9lMATBL6m5hvqsaERGSZrKdN1QT+SdKMmR042+Y0PzYBOEEnCdVf12bkxIklAG40xNokjhUAqgecH7DsesOdgjWbNoxVI1jUEc7OS9TMem+cUOzalXLJjhVQs8nsfn+DY8SluuNjn0gtSBkmXrz4eMlX3mZ00TLUiGnUrhbSWtIeKpZ5hsZ3S7tV54RUrPLCnz97jiqmJGs+7fIoffv0iv/8JeOhgk97AsNL1OLc0wcZ1DdZPD9kxO+Qn39pnotHmsSOw74TE9w1KGYTQ2ODcsnmSwAUbU266MiGNfeIkxJgGw8jn7ELAYGRXtGGkcvk2iATDkWAYWdYeRTYrOxppRpFm6DT3MD9gGAv6saATCZZjST9J0MMR8eCpqTfetPCnv7+8NWHqNR9JFn7deOt+5p8PwP/N//tXbN66Ve1/8Etv2n/k7Pv/8oGztUf2zPIb72hz6fZ+CdgGKQMXQPooZVBSoZRyelvie1ZzBr5i5EtGkSaMUkaxoR5rRrEmigwTCTbwSSBKBMNYMkpD4rTG3oNNHt0LqTFYaFtt7EsIlK35aIVwxSaYqMNkUzLdUsxOeayfge0bR2yaWyE2S/zexyc5dHiSay9UXLhVsmvrMl9+MuHc4iTX7ZRMT2hqwYBQhhglSFKJMIYkjVju1Ti36HPtpXWec3GXux6qsWFa0Ki1uPZizU+8aZHf/YTmyVMtVnqala5iftlj3VST6Yk60xOTTDRi5poxO66NCP0E30tQKkUKG0wY7EUVx4rz8x5xoogTRRQrRrG7jySjWDKKJMNIMoqEDVAjwSgyjCLtgsiUKHKaPravZ8AextCPBV0H7t4oQQ97PGfnCr/+jmVe/ZyTjbifvj/p366H6VUf75z8/XRi67/95gf4z//mh5luherIsSNvOXRs6S/uf+p8jdYsn7t3gO8JfuVH21y2tYeSGiGt/aeUdoePkgZfGXxP4XsGP5IEvrAfgi8YBYootkCPY0OUpNYVSUpHCklqSFNNqrF6W5ODWwhQEjwJvg+hJ6iFgkYoaTYUkw3J9KRg/UzCjo19Ws0VPn53xB2Pz7CyMMFV2xU7NvlctG1IKlb4/P0Nmr7H3LSi1Rjy+CF46rDHldsM/ZHi6otirtplOHsmZX45YDBs8Jrru3zlsQEHTimadUkYTHDlhZpf+f5Fbn9ywKdvX8dix7Bjfcpy22NqQjHZ9Gk1fJp1Qy3UhIEm9FI8ZaWWdK2VxmATVlqQaEmSCpJEECeSKBHEsWQUW+cligVRbIgiGMUpUayJSsQxisuHBffAgbsTS9ox9EcRMu5z7c5lfvlHFnntDSn9wRSj6HhNezMf0Or4vxqJ9R89c+B96aaL/vU3N8Bbvpbddue7Thw79Uf79x+vNVtN+qkmlT5/d49HFCne8rIub31Fj+mJhK5M8WTodLbVw77n4cceoacY+pZpRr4kCgRRLOyHEyviBKJYWgchKWy/JNWkqXUXUuOcEueWZO6Mklb2BJ4gDCS1UNKsCyYahqmWZsPMiLnpLolZ4SNfkfz5Z2dZX6tx1XbB9k0+F2zW7Ni0zMe/alhaqnHpRsX0BLQaMeeOSs4vhwQ7YRQL5iYlU1Nw4IhhuaM5u1DjogtqvPy6LjffWWO2BWEQoOQUV+4S/MjrzuPL8/zdXdM8darGhk7M+qmEyaaiVVc06pJ66BEGEPrgedZhkgKkKIEce2GnGtJUkKQ4oEOcGqIE4ji1pBBrouw+1s52zFwZZ0EmgkEs6MWCTiLoRoZoFDEZdvjO1yzy1pf2+JbrDJ1ei1EUMooDhqMTNRG0/hS/4UHwVxSW2TcfwN/3gU+Qpvr7v3LfU//jyOETE+ubin6sCRJBV4REUvH5+32++mSdM8uL/Ns3D5iZSBiGdTr9Gp4K8D0f3/MJopTI9wgiK02i2KbSLeMIy0SOlZIE4hTS1DoJWtuAS2uT9XA6cFuA28BV4HsWILUQGjVNq54w1UqYmxqwbnqFu/dGfODWOvuOTHHBpM+ujbB1Y8DWDXDJ9g79pMN9eyaoK5+5acVUC6ZaI6YnE4LAQwh7cQ1GAUudmJW+od1LOL8csH1ji+dfep5b7++z79QEjTDGVwFCTLJri+J7X7nAcy85zwdubXHfE1Ms9jzWTyRMNRIaNUm9pgh9QehLfN/GKkrh7EOLcoPtYdWaHOhJqt3q5qzFRJOkFtxJDFFiiiO2rswwsaTSz4CdwHCYoOMhs40O7/iOJf6f7+7RCANWunVGcUgUBYxin9HIZ7ByckIEtd+bmL0qeOrhT/355de+4ZsP4MsrbZSUP/Te9//tu06eODnbqglGiUEJKwUCKehIn4GUrIw8/sff+Ow5tMzrX9zjpdd02bAuotupMxiFBH5CGPiMIo8wsPZeBvA4lkSJXXbjxHnaKc76wzG3RBsKcNskpWNu8JRNmAS+oRZo6rWEVi1hemLEpnUdzrX7/MGnfD7/wAxLy012zwm2rxdsWR+wdb1g5+YhXrDCh+/wOHyiycUbJNMtyWQzRcoRp+YNoSeRAowRRLHHjvUd7iel01csdwznlupcvLXGm1/a5qNfCjh6LsT3YoTw0aZJnEiu27nMju/u8PmH+nzw8zM8eLTJlmnBumZKs5ZSCwShLwh8G6t4Chs4S5HXZBjsRaYN1mlJLeAzkCeplXQW7BClttYlypJHiWCQQDeRdBMYRJq0P2Lrug4vuXaFN7y4z2uv13iiwfJKjSgOGMUBUWw/v1Hk2YC2fWbWb1z47iuve6MaDjrvrdX/cWrK/1EAvrzcJvD8f/25L9zxrkcefXK9koZaIFwgaZ0RJQW+FHSlpCdrtCOPD3+5xu2Pdbn20g7f/co+r7uhzexUyGAYMhgFhL5PlPhEsZcHSkmiiFNJkkjiVJAkkjQVpFoUWlsLclViLHNLYZNFyiWLAl8TBin1MKFVH7FuqscgHvClxw1//eVJ7ntiiunA58othk0zkg2zAZvnJFs3RFy4ZZnHjg741FfmmFQec5OCiaZgohHT7qd89qs1WoH927WBwcjj9TeN+My9tiam3dOcX/bYur7FG1/Q4769XfYcCGiGCUoKC3LdYBhZrf+9L29z8abzfPj2Dvc8NcXx5TobJwSTNUMj0NQ8TeCDpwRK4hJkLq/goK6dVNO6WOESB3RLEBCngjh1wE4Fw0TQTwS9FBvzRBHNep83vmqJ73plh+suTtkw7TMYNun0Agdunyiyn1k5sI0Twcnje9eHja++66LLXqj7vc77Gs1vPMi/oQBfWlqh3e1h4Ptu+dKdv/npz35xdnm5TeBLd3KdUyKsa+E556ImoSt9+r7iZCfk9L0N7n28x0ev6vKWlw949U1DZqYColHIKPGJYp848Ygd0JNUkaQuYZMWANfGMbcuasqyi0xJW8fheZrATwmDmHoY0aoPSBnwxYckH7ptiieOTCLikAumDZumDOumFHMzARvXSTbPxWzf2OHEfJc//nSTZFRn61bBVMtjogkTjRjhR3QGTaZaBiEExkCcSGZCRaITunFAt5+y3FGcmq9z+YUtfvTbV3j3X4Ucm2/iqdhdGB5JUmMYSTbOhly3u8NVF/Z48tgp/vrLdW59cIrT7TrNUNEKoOkbAs/gK/CkTecLUa2u04DR9qJLtSA1kKTC+uepIEptkmiQCgYpDBJDkiToeMRsbcBrXrHC217R5UVXxkzWfaK4yXLbau048Yhi3622HnGsiBJrCESOlEaDFZ569MvrMeI3d116fbKydPp/+2GTRuMbNz/xGwrw/mDA1ETzDXfd88Dvf/ozX5zotNsEgSJJM90rkMKebOU8bi81+FIQKE09FfRVQD/xOD+q8Xf3NrnjiT7P+0KPf/cdXS7b3mH9lGKi4RHFAVHikyQFyNMM4FqijcQYKwlMHlC6VL8yNoj1EsIgwVcRnUHMfCfmdz5e48j5aR7aM4XRAbN1wfp1hnWTgtkJxeyUz4ZZycbZhC1zfWanlvn8w5oHn5riqq2C6Zak1ZBMNDTNeoTwR4Shh6fs7zcG0lQyGHkMhjGJFnQHmm7PsNTxObs4wY2X9Hj+5St8+As16ksKT8YWkMYjSQOi2PZ4rpuq8dxdPZ67u8f9LznNsXnJB26d4vxKg5OLIYGSNH1BkMkwafJMsU15OqmCZfLECBINsRaMUhgmEGkDaQJJjFQjNk8PuGqH/Tyuvyxlou6RJE3aXQvsxAHbrrCec2pUnjWOnayMU4E2im63w+OP3DaLVL+/c/e1y6Ph4FPfSEx+wwC+d99+tmzeqN7/gb/a/eRT+yf6vTa10ENr8mjeJm8syDOgx6nAV4YgMdRSQUMJBkrQ90IGqc9iVOfWBye5+6kBzXDEv3ptm62zCRdsHnDjFV08YVvEhLByxWYlba20MSXmxiCkQQnrmRsSkAlPHpE8sNfj5vtaPHm8RZQ0aHmKubphpmmYbhjrg094zEx6zE4JNs4kbJ4bsGlumTueGPGem9ezacpjbgImmoqJpqDVSKiHI+7erxhGHn7TgsoYQZRIap7imosH3Pv4lC18GqSsdHwWVkLOLUzzo687x8mFRe59ZA5fAiJGQw6gUSTpDTymWzWmJpo8/+I+L7mqz3e/bJ69JzSfua/GfXvr7D/cJBEeo5GiHytUXvpQDjxdTsBoEm0wWuOLlMkgokbM86/tsXPTkK3rYt7+6hH1QNKs+0RRg3Y3cCup5whH5V67PeQah7BWZSrQWrG41OHhB+6eOHvm3O5XvPot6sSxQ+m2Hbv+6QB8756n2Dg3E9x///0/YEz6PzrtJRp1H6PtiSsyksKythSoBCsRUoOXgC8FvjaEiaGmBI1UMNIwTH0GqU8/rdHtpvzmh6cxScyGuSGXbx8yO5nwlpcP2L4+Io6F09sSSsyN059SaoQUfOz2Oo8daiI8j2OnG5w616BWV0yGgqmmYaKmmahBqy6YbCgmWorplsfsFKybStgwO2TL+g6pWeFjX5lg0Gty0VbDREPRakhadU2rluD7EZ+/t8aoL/HX29KxTKI064rXPG/AnQ9reiNJb5DS6XusdD3OLja4bGeLt7yow0NPNji21EJJDcROL/vEqWIU28RMb+jR7gW06g2a9RGXbR1ywyVDTpxvc/TMCp6f8uhhj49+uYFQtnCN8fmDRgMajCGOUnZsSHjbywesm0i5ZIdhwyykic8oapEkPssdnyRWxKnn4iBFHNuVNE6Ui4mkq/UpGwDW5coAnmpBmkrOnV9ial3yPx5/7KH+hs07/nz//j3RxRdf9k8D4KdOnWRxceHikydP/sGjDz8oQ1/iKVvwk2pDKo3LTho8CYm01XqxFniJ1YlxavBTSJQgTA01bWuMI22IUsFIS0apJNI+sYb53gRffkxjSPnkfXZkA0a7I8viOYtMZBWJEqkUSewhtYfvSVoh7JwzNH1NI9Q0QmiEgmZd0qpbOTTZkkxPwOxkwtz0iM1zXVKW+Z2/rXHX4+vZNQvTDcfeDUmrntCoRzQbA+r1BqGSKOk0OFYOxLHPcCAYjFK6I0VvqOkOtG2ZawacPDfJCy8f8RNvPcdvfdTj+EqIEBpjYnRqiBOfKJYMR7aMtTXwaNYCGvUajbBBLYxp1SOuuygi8GOuvyjh7a/o46nEJYG0rbcvi3In6bSWCCEJfQUEDEcei8uerdtJs5jHHYksYqDEHakFdwbsLLGUgTrJPPgc5JAmhvvvf0BGsfyDdqf/ldFo+MQ3Apv/nwH+pS98kskJr3706ME3HTxwUDRqnvNXTW49pbIAeSINUhlUCiqFVNmI3Utt72OSRfSpi+qzn6VF8VwLIi1JjCTVHrEOSZ3tVb7lWUoBnhA2U6mgVjfUPENNpYQ+hB7UAkM9FNQDSaMuadQ8C/CmYKqlmZlImJ0asX6mx+b1i7znZs0Hb93AtinFupZmoqloNRTNBjTqKa16zJlFzaEzIbXAXtCQVfoJhpHHzo2ajeuGdIYBg6FxLC5Z6Xq06jVajSne/orzHD5zlj/91BY86WHQpDol0YY48RhFikFki6L6NUlj6FEPfephSrtrY4zAT23CzE/xpG2UkNKm87MSCVu6YmvwLcgFbe2qLLWNa9JUorUk0UW8Y0GaBfjZ49J9Itzr1pFJM2Dr7DF5wimK4YGHHhUX7uy+afuOCw595KN/O3jrW9787AK8XvOCleX5n2kvn/sZYYayVpPECcjUoCog16QSlAKVClInTxINXmr96jRLPmjjnpv8teJxUSlnvVyRB0plzQ0l3S/AkxpP4mpawFcC3zPWN/YEtVBSCyT1UFGvKVp1SathmGymTLUSZiZGrJvus33DIvftH/Hh2zczXQvZ0NJMNIQFd13SrGmatYRWY8R9++DRvQ12zxmne4u0+WCkuP4Sw0XbB9z/xBT9kWEwTOkNPAdyn0atTr02xXe+eIlH95/n3j0bwSi0Tm05bGJIYpPXkwxGHo2hoV5T1AJNGPiEQUroaTwvxfdsdlgp2zAipY2FEAZBoeeK4NyWEOvMkdKZ/VqyYjNga8fG+XNyYOdMnZIDOwe3xmWdbVHYqN+TJ06d+a9+2AiazcavAtGzBvBo1JdRNPylL33+r/5TZ/lMEPhe4TFLQSKs5rYMbkGdagv8NDUW5No91raBVqfkj9Ms42ayzJtBu0xclqwwxlDKvFdW3Dy4da6Nki5jqSgVbdnsXxgoaqGiHgoadUGrbphopEw2E6ZaI2YnB2yeW+befQN+6S82cPzkFBeu00w1YKKuaNYVzRo0ayn1WkzgD2kPbbGYr2z8kd1SbRkuTgIm6jH9RNN3ddb9YUq3L2nXFY1uSC1sccHGmF/5gTa/+H7JV/dswKDQRpOmmiRNiBJNFCuGkWIQSuojRS2QhIEhDBShp/F96/d7Kqv1cXU/TqZk1Zz5zaX2jSMR42pZUgf4VBf3loykuxcFwN3jnLVT59ak5Ku8/Zp2mVRNouHosVOBHzR++kd+6Pv8bq//861m4x+czv8HA3zQ75Ak8a/ue/LO/7CyeKwWhpa5rdftum8kyFSgpSBRGZANWpoc7Glq0NljLdDa5GlknXu0YLSxXeSuBLR8MAbwor3NgVtkNeXWLvNcK5rvScLADgCqhXYkQz00NGuaViNlohEz2YqYmRiweW6Fe/f2+cU/X8e+4zPsmLEOS6suaTakZe+6oVFLadRi4jTiL7/QQiqFL20GN2dwky3hPt/7qmVueTCiG4X0HcB7A0W3p2iHHrUgJPQnuGRbwn/7wUV+4c8F9zyxAW0kqbZp9TixhWajSDOq2XLXMBTUfEEY2Mxm4Jk8Y+spbWWiJC9LzgFepDwBRyLYXIJ1W1wgnwHYTR3QeXINx+7kK26aA5oia6ptKUXqiuDKdUPaSPbtP1r77C23/8c3fNsrxUq787NTk/+wJNA/GODnzx7GGPP8wwcfqadJjKdkngq3LC4ck2OliRaWxfP0cAbuIhjVJYa2j8kBb20/41ibrNwZM/a+BEWmUogik5ext+dldScS35e2fiMQ1EI786QRpjTrFtwTzYipiQFzU23u29vnl943w5PH1rF1WjDbLEmTmkezZutX6rWEehjh+yNOLU7jK2ErJYXTt7jVKJUkiWLTtCFJYjpxzXXKaAbDlO5QUu8raoFP4NfwvUku3Zrw3/71PP/lz+Dep9aTamkBnhriJHVMrhmFmlokGQYql2C+D77nnCslbS4gc7cEtpJTFOewTBrGuEywdqyeyUOXHMqyxWlael0XkjOXn6nJV+JUF4Q3DnStIYoj7v7qg/VLLtr5fCkl/9DbPwjgjz1wC2kcNx57+JZg2G+jlEAY49LgmSzBjTQQDsTuD00t0LU2pB452KvAzmSIyYFuMjmSPX6a9yZFUURlVxGRg1tJ6RolMnkCNR/CQFOvGeqh1c+NesxEI2KqOWDddJsHDwz5hfdO8/ixOTZPKeaamsm6oFWTNGqKRl1Qr9mLw6b6I+7dI+gNA2oqS2pZDZ41IaRaECcezZrixiu63PfkBP3YypTBKKU/UHRDRRgoAj9w+nmKy7Zpfv2Hz/POP4F79qwn1pJYa9csXfRgjgJJGGjL3n5RR++p7MDJlELGSZflXQvkWVLIZAB3gE9z54U1V17tYimdgVqb0mdeYvH8a/b7EZLlpTYf/pu/C77jja9tfPRvP9N/y5u/9R8f4Ivzx5hZt2Xqwbs/+cdpMnyxIEEqidAgPJDGAVnYDzWrc7DAJgd7dpVrJdZm7RKgdQ7soikYp73zD0PYgiIhHbhdkZHKAQ7KVQz6HgQ+thMocAVWYUrdyYtWfcRka8B0q8MjB0f8wnunefToejZOecw1NJN1aNYEzbqiUVc0cvZOqYUJrcaQOx4NWGnXmJ4u0uQZYLTTpnGqWD+reMVzetzxgLZdNJEugVxS8yU138P3AjyvjpSay7YZ3vXD53nnnxju2beeWHvErgLQlr1aJg9jmVcXBp7E81wRlhQoLzs35O8vuwgzqSKyqjSKhND4oUv3Wpfu85W3ALfOgU7pOaRajzG860TSCd3e4MV7Dxz5sx/43rf82IGDR1cu2n3BPy7AOytn6HcX3rmydOS74uECge+DMWhp/zCpDUoIJ0sKHWZ1dnaVF1d8Jj/SXIaQs3clkBxn7lwOiRzkWf5Clmq8lSoqBj2Frc/wDL5vG4trgaYWpNRrCY1aTLM2otUYMjPZ5qH9I37mT9bxyOENrJ/yWd9ImWwYB27H3jVJPbTsXwsTGmFEokd0oxChJH7G4LkGF47dXIFY7NMMhrZcIKoxnYF8mNIPLIOHgbQ18V62Aa3hygsM7/6xc/zUH2nu2buBWHuMUkGUasfiglqsCX1D4NveVc/FHZ6yJcJKSnd+XFd+dl8qzMovzHKsMwbunIRKxFQGdw5kUzwuwJ2B3xFf/n8BIzh5ZpGn9h75rnvuffhQFMX/5R+VwZcXTzI5vWXHfXe896ph9zS1UIBInSazlpJyzKy0KYIQbVxHSVbUY0oAF/mJyq7cPHLPT2CRlTTlNTNj7XJQmS23rkNHuWDK81xnkCtCyqoHa37qdHNMvTZieqLPZLPLvXsSfvY963j48AbmJj3m6imTNUPLgbtes3ZiBu56mFILEiaaEXuOGm5/qEkgJb7SLogrPIps+Y5TRaI9XnpdzO4Lexw6XmeuQdHnOErpDx0LewrP8/OEmRCGK3bAr//IAv/lTzRfeXKOYVy3ybDE0HA13KGPBbmXrV46722VKs1XOCVFCeCiBHJW6ZUC5KYK8LxCsVh511qZC3ZnjNHJCS4PblEcPnqGL93xwFU//9M/suPwkZPHLty59RsP8O7KaYLa5AVnjt3z2yZZfIMUPcJAFfXFuW0Eysgi8MjtJYNOMzkiVi1p2c8wuac95pKsckuyaVdj4BYGqTJb0GVPlWNtzxB4Gt/XhL4mDBJqQUItjGjURsxM9lnu9rnzCfj1D23ksYPrWOfAPVU3tOqCZk3kXrl1XrRl78ACvB6OiNKU4aBGTdmLTApRqeTLEik20PSslvdGjCLDIBYlgGuCICXwPXxf2qkC0s8BjoCrdwp+/ceW+c2/Srhn7yyn2xMMm5Kp1NBKDDU3cSD0jfP+MyfF5OydSZUM4Pn7dW+6jPNcIboPJVtVC3BXJaWt5qwycwH0zPotr+bF92SyaLDS59TZpTd85tZ70hfd+Jz/ePjY6aMX7tj8jQX4qH+QNG7c0G8/9qa49xSNWmjfdOaRmqL22jK0zJk7t5KUyCWJBbVwS1u2AlSlSBng2Skuq8LsQ7DjHjL2Nk6emNJwIFsW63vajZlIc3CHgQP3TI/55QHv+ssGn/rqHAu9aeYmJXM1B+6a1d0NF1jWQ0kjNI7BrfauhREQcdsjActxwGxIpR4bUV2h0tQ2P0yEHi+/ts+9+yK6cchk3rGuCUa2Vj3wLMA9ZRuyhbQJGgxcuk3yW/+uw2fuHfCr79vAyYVpBlMeU4GglWgaCYSxHb0cKDvQyM8CTSnyIDi7Lwfq5QtTiLxXJP98YExCloFdip90CfzlPMYqkJsx0jOgteKuBw4yM7fxTWG9+Zfd3uDoN5TBk7iL8poXLZ/50r+POw/SbNgEQ6plztxaF1mv1Ah0agrQO0Y3Za2dgzqTIKawocZZuyxLyAYC2RMt8258XIWiA7gyeNIC2/Z22v7OwE8J/IRaEBMGMa36AM/rc8ejKX/22Qluvms9kZ5g/YRgXc3KEmsBZj65codwzF1m7xjPG3H3U1P0I49Njez9jDN4trpJ4kRR8xXPv2xAoi3AB7GwXetZ5/pI2+DQc7NhnL0nXHLdIFg3Jfiul/Vohad532cH3PnULGfjOv2aZCIxND1jQe65OEQZF5cYB/LsHIqidlyCpGDx8R0Fc6mSjaiAMW1e7h4qas8zRs9yGhXXJX/uYpVMzhmPz9/xJM+56pJ//11veMHD7W7/wOTXMffwawI8Hhxg6dSn8YLpzYP2npegFwiDGiqN89oEm3QYA7oqg74MdlGVI5nWxiUTKsAuWQ9l+0qYMWmSZeVsxaAd7aZdzbcDt7K1GKEfEwQxNT+i0RgSBH0+dKvHb/zv9Ryan8EPa2xsCWbClInQ0Ayh6Trs66HNdtZcQsjWr6RuJbDyZKGT0osCAqUIpMkDTEp/Sv7huZqNKPGp+0M2Tg1Y6bcYxMKNW7Oxgu+nzuZTzu5UFuCVwNVWPr7hRT2uv3yeX//AkA9+fo6lpEk/9Gn6kgnP1uCEHgSKvBnCy5I+buWTuVQpEkBlUqmKlTLQqazAusLqZW1ePTK7MZeuDtRp1oihIdaKE+c63P7VvS8ZRcnm84vtAw8+dYLnXr7t/yODm5TZLS+7YNR+5D394f3UAk2iE5SUpMo1F5SKcspMXnlssmyYKAWQRYBpECVJIsakSQZuU7CJzAZxlgAuDUpqW5LrFV35FuQJgWclSRiMCP0BR88l/OlnmnziK7McPjfNRMNnpgbTYUorNC71noFbOnDLPClUc9o7DOyFM9Ec8fG7PQ4cq1NzE7jydjEKlOcxi7E6PE48Lt0B33Z9lz/73Cy9hseEmz0SRi5uUBrPk25sHSWQ+6XPyq4K29dJfvZf9rlq50n+5OYZDp+dZCmp0/c9mkrQcEAPpLEXjnOZ8tUvO6+ZfYjV50Wm06z2yTNiMqbK5JRlmXtcliKl7HRaej3VWbrfNmLEGkZ4fPKuvVx//WXvecvrX/ja84udrylVnhHgxvSBOrp361YZ3b0rVKcQYQuVQKpc6aQDeKa1s3LLbBxa4ZKIHNDafZ8ps7cROQsUrJDRtqnowAzYwjVOyGyeitTONcnYO8X3Etu54yWE4YjAG9FNI/7gIwHv+8xGTi1OoVWdmUnFTGCYDDQNx9yNPH0vXZ2KkybOO8/BHdjs5SiOOHAypBeFTIfOxcmSTpkrkWVhsw8xlcSxx0TTY+fWCBUO6UYtBoGgHhtGGcC91CVqlPWxZVYCvFbwqpib7POjb+jzppee5X2f6fCnH5tlYdBk4NWoeYqGJ6grW38fuG4fJYXLbuJWQ7M2k7OGXBl3WIBKLJWBt0RkmQTJzkX23FqKrnrUuH5QDUMjWT69yK13PrTL98TW73vDjUdPzydsnnt6GD8jwM+cP40RU3O+Dj4yObzVD4IARIQULq0qNcqBWafSsbVEG50zd87YOmPuErAd4AvGFpg134kp2YEmB3ZFnshsWFBqAe6leCol8GNqQUTgR7SHEXc/JvnQrRN87CuzDNMWQRAwGwimAk0zMDRCQyMowF0LJWEoCZ00sYkh50w4gAe+zXweOWO488EGUewTNs2qADO7Felse76iWOH7Hq+4vsuHv9hj38kmg5odzTDyDUECfqzxI41S0vrWUiCFLIb7UJzPVEsSLWmEHhumBvzUd/a5bPuID97a4oE9k8wPmgxVgO971DxBXUKYDVjK7FVp8nKLAuTVmpXx4qwyo2cENe6IZc/X0tr23vWGurLokYGRtn0BOrVdWB///Ff8f/Od130kTeafQ9qZ/wcz+FJvs7z34UdvePyxT0/+1+8e4iuBMXaOoFQeMtWkqbS2oMr0eCFVCjlSlSX5kQHbSZQyg1cKf2yPjmXyPKWs83JPq7sNnkotwFWayxHPi2n3Yu56QvAXn5vg1ocmWWq3kPUarbpiyjdMBJqGb2gEhnqAY23L3PVQUgsUtUBQC3AVetqBWxP6Vn8rb8T+k3CqXbOJFadvq4mTon7G9kEKtxRLoshjw4Tgom0DHj+e0I99Rm7GdxBhwaeyybpZogbkWGdOdvFkNmSc2vrwt71iwKuft8yXHu7y/s9P8MCeCRa7DdoyoBd4BEoQSEEosT2c0u5Sp0RxkSrhyn7XYPBV9SvjTF4iNE1VomhKmtvJkcRAZASRtvMjbc4/Ah2T0qee/tWk4g03bNpw3ed4huFBzwhwmR4KL90e/dH+x/Y2PQ+kTPCNQApNojVSKJSUaKMcqF0vpJZjwC6xt850aAngpRNS4YWKNDGUC/StLNFOc2uUTO1A/MzNkDHz3YQ7HvT47F0tPnXnJOc7TUStht/ymfBg0redPHUfJzugHgh3SFdy6nR3IAgz9s4A7iUEQUItiDAm5raHQo6dqbNuRuBL7XSsKBp9S2yXl586STEY+ezYIHjFtX0+8dWIXuwziAU13/arBm6yVLFKqdyvRsiKTLGHzKWizZp61MMRb3vZgG+5fpFPfqXLZ+5qcMdjLc63GwxEwCDw8HyFJ+xID19KfGGc1DIoREkaVu3DNci84oIVzC3yADQtM7Z7nhjhHhu0dh1aOgETg47BxGgN9zxyuLluq/qjMDx5GTD4ewP8/JLB6P731PUXp37y+09QqwuIEyQGkWqE0CipchdFa/vYglmWAC1zSaKNrH4IYHsn16gJrASUJWALoZ0dqBEO4J6XEngxtVrMcJSy7xQcPa346y9M8rkHJji/3AS/hjfh01CSlm9oeZq6b6j7UPMtuGu+nUloy0xl6RDu68aBXOcgD3zbnnbotObxIyH4vlvmTSlFLyooKAdhtl5akKR2nPOVO0dcvrXH3lMNBjVBIxGEsWGkcNaeduyduSmZBVloldxnd1ak1spNH/AZRj71+ojvf82I19+4wi0P9vibLzY4errG3lMNopWQJPQYeh5S2am+CvDcfcbkuXShCP5X3XI3pQC1xpXc5o+LQxuDIWs71GBSy9wmsSDXCaQJSQw//1vQTZ9ibl3rmTj66QHe7y+JKB79xB9+aP/UhVta3LA75vpLYlRgta2OE+JIWWAb5UCejWsQ+easGeBzeYJwoKZ0PwbvfIZKpvlsUsNKEu12eUgJQztJNUlTzi7CF77scehkndvvq3Nquc6h000IQ1TDo+Ypmp6h6WnrIvh2cH7Nt+PaLIizQ7pDOYDjNLcDt58S+pa97YUVcWQe9hxt4MuqPZhLFIp68NxRyJwU7foaE5/Ldwy4aH2fJw4n9BOfViwYeRAkdiagKgFcSoGQssLkUFr+S9lkW3/umoJTn5EfMFGP+N5XjXjRVR1OLXe47f6AwydCbnmowenFGunAR0uPOFAIKd1mBLYrX+IynpDLlrVAXgk0KWepM7fFvZr10mbALh+xhihFeClSpTzv6ogbdsVct+POdS9+6c/8++/rHnx3vbV7zfDtaQGetN/DcJDyNzefZKU9zc6tCVfuSnjJc0dctjNmy7Rm9wURgRHo2MqUzDIsxjbIkhRxwDaFRMnYuvrOzNiscONWCydFVIofpsSp4fAJweOHFV+4r8ETRwKeOlKnMwoZRSH4AWrCJ1SChoKGp6mXfODQy+o0srJZWxceOlkSBIogkO4CMIX29lObWfStzq8FMUZHnFuSjEyI50kCafBKNtsYgecgT0uOU+r8cIHH3EyEVEN6sU/fE9bpiIuCMU/pSgZSilIUmw07opCKWWtZNhjJT1U+fqI/Ctg4HbF9Q8x1F44YRAP+1ZE2TxwN+MK9NR4/UuPw8RpxoiBUGKlASFJZygblSYo1tEpFnGc+cHavS/djh7bA9tDs2hmxZSbh0p0xL33ukCt3JezcnDAc9Jvv+ZsvfVeceu/+ezH4u/7wI9xy34K6etuXRZomtIc+jx7wefyg4Zav1pkMNNu3Jlx5acSrrh/x8msiMAm+b6g3cTpbghYksQV8FkhWGLx8yRvyXdWEtHUjCDtSOY4M/aFl9KMnJX91a0g/VjzyVI2DJ0IWegGjNAAvAOWjJhSBFNQVNJShprDjzJQrPFKWtQNf2KRHGdy+JHCyJAwgDHCuiU2Z+54m8BOXEY2p1yLOL6d84Z4W7W7I9KTAc158VvQlno7ZdCkg1JLRSLFuVvHqG4fc8sCA4+0mA19ameKBnxj8OPOsnccuU2sXUp51IvPfoY1X+h0W6EGqSD1F4tuxD3HsWyvVj2kGMS+6MuH5l41440uG7D8heXSPzyBSfPALDY6c9UFI+gOPNFJZ+SbGywA+ZhmV07cVgANGI1KD0AbjgF1vpvi+RhjNy68d8arrR1xxScSOrQmTgWHdhI1tMIZ+L+Gxp54Q7/yhq9VPdf48kRM/8PUz+GJ33R/8u3d7V59teza/i0QD8z3DfNdwZMlwz+Oaj3whZW4mwWjDtRdHvO2VQ1fEDnOTmmuujGjW7IeJEXkObPVnLvLhPO2+4NHHPBY7knpNct8en09/pcYwVgxjxZmzAVp4xMZHCx88DxF6eFISKEFNGmoO2KEyhMrYGnDPeb5ewdxB1peZg1u5Hk2Rs3fga4IgK9BKc/YOghilIr78sOITX22hAs/abRX9/fQMnvm/aZo5Horh0Of1Nw341N0dPnjbJL2kRtPpcD/T4XGWlDF5t5AQMgeY/VWypPVLANeWyRPPMrnvKRLPw0tSC3SVopQdpD9dS7jpkoQbL4kxYsRbXtZnGNtxbn/3lZD79wTUQ8FCR/HoEwGdvnQqSfC0ojzfecK2Bl5zTcy6qdTWgqeGt71ywDUXxRgNczOamSmDvXbsapdEKifD2WbCr/3Isas3bn/BHwA/+nUx+Ln5Jdavm55453//wCUnzymVmhooC3Bb/GG5VxvDyGjOtTXnVuwys/94g09/2V6JJjVMTmtuuDqiVbd1wGumJ8uXunMdVnqKBx4P6LQV0pN2JoqxW50gPNuaLz2QHlJKfCksmKUhlJpAWiAECgJVzOizIBdFw4NnGwGyxuMyuC3Du7JaP2PwtHQkhF6MMRGnFgKiUY1wUhK4tLcqte3lWcysowcoW6d5d7pWRLHPdEuxbV1EIIYMkpBBIqh7dghmVkOSJbSULJe3yvx32d+RJdt0qeJTu57JQholSeryBsrNZU+IkxQV23jLUylSJmxdp92Kobls+5DIDJCept0WPPC4x0pfonLFUg2qK5+0K8Zq1jTPvzpmclpjEruy15U9d/a9K3QiibSVu/ZnieyvQ0rJ+olYmaR7iZz+iQmTvqEj1LpnBvjhU0ucPN9+9z2PHX/Z2b6BoFnVWZUrsayjDInRtLPXlKGzYjjz5WbpT1wL4GX95j4cIdDZlgu4mlOhiiBHSmdlZaB2aWeJ27g1841L957rpFe4rffIwW3buhSBA3fgkZeYWgZ3LO5pApcd9f2YMIw5saD5wC1N8AI7Y1GWEjwV8FVPX8au2ZBQCzabHY5in7e/esAn7xjw1LkWvdSnkdhNaW0VYDHfUagsJ1AO9rLSxUwKyVKBV3bovBbG8xR+auel+A7oShZJM1s37h4L7QYHpXjCIEzKuobmW1+oQaROZgIi2z9jjc88rzESoBU69vI4LYklMVWTIo/b3N9U8KEmSWJ8uf9lfv3AuzHJj39NBv+dD9yGkjI4dKIDfguhJIY1Pp3ScuOMXRgPIpQh9c3Y/xvHd8ZuGcCrwYuQMm9BUwJ8YdPKobDVgr60zz2Jq6lw3eNZIZFHaQ4Kbme2oqu+ALjMZUsYmLylLQh0aXBOgu/YO/BipIw4dlYw36khPI9QUpEnsvxnlT7usnSoAM85HVHiMzsxYsfGAXvPjhikHsMUwlTgpwY/cTo8IXeWihS6qnQqZB+PtW6zripRkkYaL9WkSqK8bPty5YrVUqTSbqXQhTXrQC6y342dkiWkyV2vDOiZA1b++xkDbPl+3GkrAF6dNVncfIbJIir6ZGDWyPesAvihAycQAtIoohkojCjVi2S/sPQhmfxN2z/CVGTI15IluK6cUmG9EEiKFHE+ZlkYfOFA6yRA9jh/zZF9UQpK3mAbKGHBXgG3tPdBBvQs+HTgzrp/PJ1LFN+z+jQIYhJiPnN3nXPzdfxJRVCu4Sg7KIwp0nLqulSYliV9hiM7wfZ1L+hx92NDOkmNvudRTzSRS6crWRREZQVnQmiKzqFyzqFsHbqZKgZSZX+npwWJEnipdLvY2VqexAG9SKbpPMEmpS4l3txjWQa3s3nzvWJMic+r5kIF4O4CKJKA4zmT7IcUEwoMGjE6zloMWgH4H33gC0y06i/84N/ecf1pYqb8DMgmN+sN5UlSLu1aAr52V9nXmtSSC5IsWSBAZffCBhaZ1aZcytjONyk0bjbrUGUDPZ08KQM7n4OisP2IawE8Czgz3e1lssQ4vV2tJQ/8mMCPONvWPHSwDl6A5+SJVypQKm9qW/1MRckHLvelytwTj2Ofa3ePmJ0a0F5u0E8UDQV+Yv8W5SaHqbgMcCzI818kxyo1heubdFWfSpNqga+FrQxVmlQJEgfycvFaVg4hM5CXQJ2VTAi0A7kDdJ6JLpJ2FY1RqV9ZzeaU8FSwOBW2z9L9Qb1x/czmV71w4cSr71q37dvXBvhgFKON+dYk1dekcUwj8Fx2qfyB2IWgWi22NquvDi4ospMlgNvdhXHJg+rINVUCecZYXlYb4WrAs1JP21ycdapYWaLy7pUC2FnzrWVvp7k9cr2dWYKWsQtw+3l1Yowg5uavhNz9RAsZegRS2PnbeQVh0UZXVPyNZzNF3suq8xmAilQrBkOfG68Y8G0v6vKnN7eI0pBeKqmlhlGCW7nKVX/ayTk9dkE9HZOD9qTrhRQ5uFMlUUpbRpfSjZbQpVLkcg2QKUBeyTZnTJ4t0iWZOl62kIM3e1xQoCkB3YzlUMryxegYv6av0Wn3WzHxXWsy+L5DJ5mZar76fR/+0r88f36eZmgjYu1APZ6RqgC7NM21jOoyyMfrFsrgzgAgS6CQFDUP5dEGGXPbLUiy5zgGJ2/DqrC464bxVRXcdpzCGHO7ns3Atbf5XtZwkJSOmIiYv7ltgtSEqDx7WQ4wi77GzNmoaHDG2vW0tNOh0izY9BD4vO3lff7yMyNWdMwgrTFIBX5CzuJSGmQi8qIzaxeOr5+SwpoUJZALUs+NclAO5J5BaStXUmVQqa1gtNljmZcmFxZlubqzKGPOm1JyoJv8g18N8PEXhJXppdWnYO8C+FkMgxHo7iK1yf6/XLftW2/vd07c0pjYVgV4EscMh9HuaNDblQw6tGpBMZ8kA7YpSRH3zsqgXou1x29ClJi8JE9yoI+VZ+ZafExzZqAvz/ZQShRa3FXcVYbdOGB7ShROSm4H2o5725hsHHMXAaZXYu/Qj3jooOTA6RpG+SgpCaTGG6/TKAnwcRclO8q9rIVfbUEeJz67NsdcfmGPr+6vE6uAQSKoSfBTg5cIJ99cF07idDjSyoXKrxQlFhclaVSM8shmQnpKO3C7djZlSuDOaoGMKxPImJx89RAlcCOyiVlrs/datxxDJabOLoRqH0FRhp30I2pTo10zyWh3miS3rGLwpcVlRsMhaTygWQOpTD6aK68j0ORd9PnnVGFs8TXfdlma5IAvA70EbpXXfBe2WyFZhO2eFwW4bZAp8m5xLwe3rAC8PPzHdtuTAzvPVubMnRJ4NrFju4JiDDEfva3B4mIdEXrWdy9fhOM1KPnVnbFSob3LrFrxprUijj3WzUje+oouDx2cYJTW6KuAemq1eFbOqiQO3NlaoZ0nnlMRICuMaMZbCcuj1rRE6WKme/a42FbdaXCZ7XeUSRNZNEeMM/hY00qR7ltdaFfBVBnclAFe5BC0EYxG0O3FdDtLJPEw//85wD/w4U+ilGR+foVGqFyNrkHqQr8ZOVY8UwkS4Gvxd+b/F/Jk7L4M6DKLV8aLFYwtywyuRInFM7kiUV4V4IHnBgD52daBLsPpGfw8Fa/d47RyeMp27jx1DD5ya4uRDFBSuexl9UIcz2CuWpbzD5AxHe60eKpIUo8w9Xjrq4b8xef6PHa4Tqx8+lISpNq5RwKZmtJ5Mra9TJTXU+1+V3XfojKTpxq83EK0o62VKwlQqSmGdeZzWUR+QSdjetx+nuViOUpMnoH8mbFSeN+OFCq6uwB6mheTKU6fPMj8+QWb9i8D/NjxU2zftrnxK7/+hztPn1lAKVEJ+PIxAKVlIvvtY6ZgFczl52L88Wrt/fQSpTStNmNwB25ZYuwsyMymNnletsmr095qDNxZ+t7PGpO1nRmSt4hlPZ2JO2KUH3HglEc3CkB5Tp6YsfLY8Qu3ekKqA43GvHDXjVMkfjyavuCSLUMeOxCR6pCBDqiltmbbcxpcCbuRq00s5R4EWZBZMHmRRMkafr18sKl9TWk7MNXTuA4iYyeWuYbkbLpWmnX35wZAEVzmgefY550hZVXDRAGpyoOKb15agbIusWKMMxiTMtWc2fnCb/mRxvLSD/SnZzY7gJ84w8LSyqvWz82+czAc4Sn7hxZd2+PMbdYG9hjCRfVp5bUcALIKhALYRR+jKrGiqgzVzEBOUSOtSqBW1V2MfYXzwi24LYCLoUB+WZ6U2Vu5vs4gYqmr+V9/22JxUEOEvpUn0lRWlWJwzjNrzso0gWxOTM7g1lFJEo+Jhsc73tzlSw9NsDgKiKTHQEoC10NZjHxwDF6upxc6L6M1aAdujaFcp28B47kpVFmQnoFdSeEY3EqiNHdRyGVKocOLdsJCpmSBZ2EVVs5NaZVbE+Bj4K60PLqxJDaBNaQ5MfPOc6f33RVHg0/mDP7gw09RCwMOHjpOmiSEQeA6Loxj8KIjehVrf+3yksoVukqmVDS4KEAuxyVKdTBNDmwpkKoYP6ZKoPakxHOSxMsBnmlunQeVvqdzcPteVn9RZW9fxQRBxF/f5vPkoTpIHyklYVYaW7I28z3i3R/5tNWEJTbPd6ooyZRES7fJk8+Vu/q84UUd/uJzNbQXMpABoRR50kdJQVwK6MaZXJSZfMxmy6WKAmXsqmDH8JHPdrSsLijGShSzaIrJtLaPU8iqPMmdlTIOxp4/LQmUwV5icl2SWVmAniQRywsnkFKRJnZjCA+g2fAJw4B6zcP3bPCGBlEa62B3CDNUA4CC4ddk7pJbYr+UFeabVQNlKp5xHliKgs1zhvxaAJcFwFWphtpzdSk+uRTxVeGW+KXhQIXmtuzte3Zq1XJb83dfbrHQDqHm3BNRCsaeRqIgRJXJTXH+Vtl2eU+rbeS2borH9ITi21/W51N3D1nshUTKY5BKZ08K596IohlbjidWdF6whAGds3lGXgIvc1aUe+wGqmpp91LKznsZ5MLtnJdLSSdP7Opc1uNiTK6IKsCFQYyl4o17ncrEBbGKFLJWyCSRpMbHiJBs719v3/4DzM5OX3D33Q/8xML5c4SByoGnszKCsYRO9tvX0tz5pAeKJafyYZeAXj3E2hIlS5xUgF2d/V3ucLHD3amCO9vZIGNuVWLuVQyejZsoRk54ymYujxwV7D9WQxMipJc35xbVg+X4QZRcjeKPLyfECiYXJXkicicjbzdLPTAel+6I2LVpyOLeOiYNLIunVqZ4JRenYM9yoZcT3FkZLdjneWOKA40s5kaWYxul7UWj3YYGeUJLFmSUg1sLN0sl0+RiTKqIMTyY/MnqYFzkwMoDzhIWqzMtPc6dO8/U+st+YvclL3jkxPFDR704Thn0RxvjJH31+YVFPM/630h38VQ+iIKVn0majDsH47M0MkCXU9mV10q9jIUzIUrBZgFoy+C4UcBlH7x8uC2tVRncJZC7/ep9Vxqasbdyzz0vRqmYz3y1xYGFOgSFPPFL1mXlgmX1uIjxW3XMWWF/lQcp5WW0kceF6yJed2Of+59qgPZJUqvF/dRld9OqVCqYs2zJOZAbU5IoJbki3WPpVhWZHfbcp27FkMKxus5WWJMTU5HwKT92LF1qb8vbXsrgXut8jScPS4mfMpuDpNddQqJfnerRRkF61Mv2RolTQ5za0u+s5844nZSDeYy110Z3CdgOzU9rD2YngarWLmSKyMtAx4Gds7kSpSbcErjdfMJi2w5WA9srBgTlI9487UCeWHmiYuqNiK/uU3zyy00GwwAaHp4U+KIqTcbff/lvXhPgVJfaYte4UsLHgTxOPCZbHm986ZDP3d3nvn0BpukzSEMCQX6hqfz3Fzq4tJbmIC/nLGzw6S4wZdk8lVaP6xJrZ0G9dsGl1KKkv0Up0K3GUHlAWYoL7GtiDOhfC1xjmjyvW3EYFcU2LcpZl16axCRJjE5TxmvVRfFgrYupjOnq8zFLcDXAxyVKdaJpEVyKHDT5vDxV2r1BCVebUoC7AHlWNmvwvGKEsuc2YfJUFeh+ztb2UMoGmEEQEUcpn7unwVPHG+D7CKkcqNzckFJwKWT1Qx13jXKiyL1dVwZRGXOXbdsnc088TT2iyOOy7QmveUGPR4/WGSUBqfQZaEWQMvZeMi+cMQa392bsvaCyi02jlUDluQ+BUbbPJdPj+Yoq7YYH+Weji1VDjgN8PC5hDPh/j0znWlgs++ZpmpIkMWmS4P3tJz6L5ymWVzr4vpcDdnyn56/nF6/2uleP312Luaugzhi7HGAWOxAU0qRkFeaMnQG8mJyaSxTH3JaxTc7UXn5fPPZdcOmpmDCIeOKY4Ja7G/QHATR9pMgqBynZg2tkMUt/Z/ksZrUoFl2C6iD5sYRPqQArin1arYjX3DTiU3cMefRwCF7AUEsCp8WVthvslqWBSMnlAelYBlEVy7ynKKSLtGyerSpZkK+NBbvURaJN6LKb4j5zXTD7eI5jFcDHQF/B29eJ+OzbpPQ4uO8Rjh87hNEJ3vFT80ghiOLYnvRVAWHxE1aFAWto7ez05aydv3FRuYLXZHFZAntZc+cgt3q7nM1UylUYuopC287lHnvl+eBj4HaHn02hdQX+nkrs4cX4fkxiUm6+q86dT9Sh5oG0Dc1+qYS3UhpbPspP1mKgkobMA6esqdw5KsVwUwv00dDnJVf2ed0L+zx5rEaS+BihGAgPPyV/TyItWLx4C2szefH7DUoVWWtttHsukFrkOjz3+zNGz1Zbx+D50M4xcFcCzgrIS67KOK7WOHf29aL0o0yeUoJO2sTDPsYYvGFkvytN7NWZNUdLsbrVai2NtCZrj/3S4rF9IssAL7V1lXcWqAC7IlXKafrSocbArUqHV2yCmgHaL4E6c06sY2LvlYoJ/JhHjko+clsLCED6CKHyLiLlNlItZ13LjlBBCWIMYBTakTJzlzS4EXZHDOVGP+T7xHsY4/G2lw/4wj1DHjhkJwnEWtFPhSv4cqBLM+CU6kCKywtcGTSKCtCzryoHei3dfj5ZUJxpb+nYXNj7/DPUpYGdsnTxVxJghSQZH7TP2OPxKqfKuc3OPUWZR6NmO7G0Nniecj/Q2IGH+TJTzjCO/danu8qqzF16A/l/L01ZHdPdhVQR+e/PtV3GHFkgVwa5a00rNpuyOzsUA/ALcFdYu3SfNdZmUkWpBN9PiNOE2++r8/jBOvg+SBtcBsKUJseWAyuxKrAalycZeEzpQV5vv0byIpsxqJVzVFKPUeRzxa4hL7nBsvggtSw+EgFDDV4qisAvzexCC6hCotg3sFbhnDH2XBplkEagDDb7aQTClbJKIwqpUgoqC/Z2n6suX/ilue5r5EFyII/FbWUwV+4dk8uMNd1rSSrsBsQavEbNjhyIY8HQFAmUikaugNtUg9CxN1u8gbKZLyp/WG5fjTkm1T1ixupPBPneO/nuxVnzbaXhodi6RKkxcJeG4ufuiUpRXgngTqIEXsyBM4L3f67FKPah4Tt5Qt6apsq7BOcXbolhnkmimCrQyzKlvDmANmtpcY9mKPm+1/S5+c4m+07Ziy/Vin6qbJVh6pI/jr1E6sZyjK0kJgN6CeDSFFpcOo0utcFI+xkZKSzAdSlWyphcl2OpNVa2EqArwC6v/qsAPg7q7DX79xlhfSHpzt1gZDf3Msag/vD3f3tDLfT++7FjJy7NM4MlSZCzUn6Fypxlc10sWKWVyz61zbSV5Ub5a9k4YHfvxgPnwB07spEJZY87v/cK3W0dlCq4y3v1FMVUbvcHL86bGXwvIpURf/HpBn95yxSEIagaSnk0lKGujBtHQd7g7Jda44pMajkRJSkmw1IJUItYorAds4tWSFzjb9ELqaRBGM22jRGnFiQPPh6QCDt5QAuFELaUdq24p+pUiFyTiPJzU06wUG1ooSiZLkusXGpRJGDWPMr/p+xhZz481cnDq35WeaUpf692DooWxAls23ntxt2XvvCL3slTJ6eGw95rISbwvLHM49MEnWMBQVmCrGkBlR4XCYCyezJWg1Jm7UoduKlob5mDoZAkqqS9Vb7TQ2kjKmXGJElWKZixd4zvxew/LfnwlxrY+SuWvfPO/ez3CyrjhWX53EGFrfIn5cxwGRx5WXJpB7pso4Asq2kkOlWkymnx1OM7X9HnE7c32HPSBxlhhGSY+ni4epHsXKcOFWmW+MmgWpJOWXsixpVm2Pcms3INA9JYpsx0tzT2dxjt/HHtAtTK6lxl83FpIiBPrY9L2jVZfGxGeYal1ABGEMcxyyu91xpOTnnD4Yg4jiu1H5Q/mLLVV9JEq/TQmkuMqFwsVb09ntSp6rdKDbhLJpT3kSk0eLFVYLazmhoDt53Iqt29tQOV0qjM71YJSiYoJ09SlfDpu5rsOVBobymk9b7zDhrW/AAF48/LKjInxdLjagNyxRMvTaTytLC1KbJI4Uexx2W7R7z+hT0OfTgkShUIj1R4DITAS519RxboZo6KqPBxHgI7vWSMQBlXA4KVJsYYp8XdIUyR4hegpZMImUwp+eBlsJdXlCIeG4vfxsD7TDizAayp/L9UQ5LERHGEF8V2f/NU288yY9UKSEu/gAysa7B39Y2I1RdJ6UMfTwSs3dxQZe3secbaGdgz5s6BrspMXuhulQWR2RYnUuPJYmi+Uim+H3P4jOIPPz7BUPpkE7SKrnm3gpRroMt6cpW/uvYtbxjJ0+SWLnUlZV/W4KJSn5JqjyT1CdOEH39Tj7+9vcGh0x6oGLRHLHwGQqDSwtGQ5WBzDOSZN28AL7vg3GvS2PS8wTjWzjxxXWFz436PlgJhitVjtZnggF8B6dODu0y442yuS0xf7hWohdCog6e1bXy1zFNob8bBOQbk8aUjX07WuDAqwYVkFetVmhsy4I+xdpZIqYJbFxJFVhncq/jbDswVv7t0SMvivhfRiTR/+qkJTp0Pbd2C9BFCOnliKr53/rj8AVRYasz+WgvolHVm1nhQ7tHMUvgyP/JmCKlIE48tcyN++A1dfv39Ae3YBgTGSEZaWdswzd6HgVRQKOwC5MW/9ivKXYVuflNxLwvHR0pTMLgpfXbOMjQ5gz9NwFkB6RiblzBXIc4xNs9xKfKiQxfw2pXWs7uG2UHvnicoZk2XmHqNpWH8tfE3VwZ41qpU9UTXZu4M2AVrF1Nac/Z2BfcFoEtM7mnH6DqXJlaO6JJUyRg7ye89FeOFMR+7OeQ9H51gpH23pKlcnuRNxWOWWEV3iywWKcN6bYhXa3xKGc0c9FnK3u52kGU38xS+tm5BzUv40bf02H8s4H2ftlocFKmQDLUNOGVKzuBFAVb2YRWp+7JdaUFdSBZjHJuLolDMko4tdTWVxI+VMdnvygCtM5JjXI8LxplbPAO4GT/n2c/WVuINRpJwJPF8z87k890QnEqd7qoloZR2XrWcFP+v/EuFAzasrk1YXZhjxiSKKQWZbovu8paBquw66JJUycBcYnJZVAfmuju/t7MGl5bhb7/UYHmUgdsC3JdWe3uiKk8qq05ml5UJYA18l7V2BvLMKqxU9Y1vvajH6sSlRGmF1h5J6jEZpLzplX0+cVeDxa4CGYNWxFg9Pl5dWL3knp7JbR6oSApl9SlZsGkci+eAdj551hFWXaldqayxq4mW5QH6Zk0sVTC4Bu7WYvI0gSi2h5d1nQeewvdk/j8qY+nHlwvEqh+cA7gM+rF2tDUDsnLbUw6Y0ogIaSrau7DSVgeV2XCaAtxpJcDMgsxsnxuvxN5+I+HmL9e47/E6uqS9bVNDJk+q9SZ5a1aZXSp6vBo8rb459swtsEKijDdDmHLQaezGX5kvnqQ+nk54/pUR3/a8Ph/4TAAqAiExQjDSHkoIuwVJFmiKAtTjciWzBo2xdm3G7EoWMsrIUqGYtDNeKsxt7AVvShjQGYllbG2yrxUMP87Ya8V5azkr5e9PEnukGjzp/GXft2MWqn8wq37gqh8qWPPKGtekmUzJiuJz3TrG2EKMsbeoArtwUdxzZfDciDEpnWMijdPVJUmSOSayJFGkdU9CP+bQccn7b25xthvYeejSDnpXgmLHhrF4YZXuLrtGa7D3+K2S6Ckx+6qtFrMtGCtd93b/HHtvtz/Z0Ez5/m/rcdfjIYfOSRAxoNBIhkKWNpGyoMpAnduY5QuuzOd5NtN9DmU2F/ZxBuZMtuRgN6VVQ2YypSxdMkmXvY/xysIy8Ku1rGLVubUvJLEh0cZOB/CkHY4T2DnyleVz1X9f42opn5vCNRkDdOmkjuvubOnKvy+vry4xt8oAPwbyfEb2+OM0194Zi3vZOGCVoGSK52zBIIgZpZo//usJ7nyobk+C9Kz2ltJ27Yhi/kr+XrOVpXwxr8Hk5fNV/jxWZzAL16LY471cPlsuo7XtZjpzVFJNIj1U4vGS6yJ+5G0dfumPA0aJtBkoLUmcqyJdRGffm3EAKn3gxrakUXp/9nl5PJ/rrjdgpHEBpsgvAOPY2tanFE0P7sdU7cEyIQJrNkWUYsG1SCNfe5z7kyQpSWJIU4OXDbypWbmZD6OpfBBjoC7/jvIbHI+Ay6Be2/QvD/ZZg71L+8/LteSJNHm3t902W5ckSmnsb6a73YzrPLiUCX6QcNsDPp+4s8Eo8qHu5do7Z+88sKVyrGJuUT0/9li76bjcPJKXz+bSoCi+MiqrMqzWiqdaIrXbo7S0k1q9kfCmlwy49c4BX3hAWdsQCUISC48BJSlJEQDmbC1LpbylVcZQqktxzGwkKPf3Zc+NkyYZ0LPP1whhmRv7uGDsMQyVCKNMql/XiujO3SjSxIk9vHrNENXsJksG6yJVBvqMsfm4PFkb5CVtKouvyxLgy4xdCSozsMuSY5Hp33w/dfs81975JNQC2J4aA7oqwO05cAd+zErPcPNdDfadqVlpImxJrMi0t6A0QcqsAne+GuXnQZSA/gyfRv6h4PytkhYflypjiZ/xenEpFVKnSO0Rjzwu3hjzbS/qcd+egHbk0q/a6vEIRbYPhMR545Uy2gJJBpvcyS9IaTGiXEtbwebkY7a1O0c688elqQBauD+37H+LIvQjW1GqctdUzmUZg2UyzmY9juKUwShlMLLj9Iorzv0Y/TQMPn4lFSxuKlfaWsGlwJ4IKFts1WRJEWAWwC7AnfngRXAp88HspsLYlYAyS+SUXRRpO+U1Kf/7M3Xe8/EWRniuX6/M3hTaW67xvsuyrMI44pkZZ1VNxbgXXpYpq1vZir1Jtd1CXVpfXElNnPpIpfnRN/Y5eNrnPZ/wiJMC5BrBSEiUzgZJuE+93NqWgzrTFeAmv7m/KZs4TAF0YYEss/8mnFQxxYiJTHoYhxeTSQ9T9HMWhVdj57Jc/y2q57EAe0ES2Re83sDQH0CcCHzfFfeUgJ01eOYR99Pp8LHlJQP1ankyNmasLFVKHnfG7MVMPOd9jzkmMgO3GpMnY3vWK7f3jNXgMX4Qc/Cs5BO3N+n1fKir1eyd13yXVhdRJHgqcmzscRYcfS0ON4UGKMmBUiFRCdjGNR3kQJcZ0CVaWi0upUccp7SaCW98aZ/PfaXOwTMuqWDnlZEKwcCuNfY9agduU4Dd5KB2bgku+UO24GROSpa6t+xtZ7yLkjypAr0ajJfxIWynaEmylN28VbhjHNzFY0/JfN9TDxFihG8DBGHZtyxNzPj/Hv9lYhzcpsrelPS2LL5HlgAvx4K3bJijKrF4ObEjRXkwe+ac6Mp2G7IkS6R0joljcs9LGMWaW+9t8qWH63Y4uPQtwMfYOyvyUkJUg2Gy919NP2cIF18L2eUPZxzo5Uo77bKHmZPitiKxulsXMkVLUiFRqUQLRTzyeOU1Ea98/oATn/UZaek+XGm3d8RjKEDq0rZVQuQGdpb6UTmkMkfF1YoLcuAjREH2xn6mRrjAswL0ErDzVV6M4UYUWMrclIp6EtUzV2ZxQ16sV6+HtJp1vM2bt65gRp9rNIJ/IUya/4Iqg6++jWvurxVgVvW3yS+mYvkqRh2sYu0c6EXZaNU5qepvlaff09LjBCltp44MEu54IOA3/nyS1HiFcyIVQki7D5Ao0vJVBi87Pmuz99eRxKxQ0Ooy0nIDhPPGyaZeuWIsUTgquSaX1hsX2iNJNEGQ8jM/0GHfSY877pfoQDjI2j8g1ooBZUFlSrJkDU2ee+Futc3er1ttMx0u3AWQMbLMGb0Um2XB6KomCFM9h2MOSub4VHBpSrlYbfB9n3q9+bktW7euqBc/f3Nv0Js/5CvzI8bErmt9dSC16sgsvtJ9uTgqa1AYL5gqF0kVqffMDixS8Wq8OrAUUOYFVU8D7rJU8SoJHdtreXJJ8Bvvn+Suh5t2Ux5p29GQPp4U1CWEErfJlVldu105XAN0PiSnOowoq3mXaqxhunTOiueidNGPZXXLZFCaAyjGpV75awbWzSaEnuG+xwJWBqXaAhdmZlPEi4rDAlRi1dX59SxLokqOFbdofOv2ksQpg9aUXKWxnzP+2MYpxRjoJDV4XsDpM/Pf/9DDT+zzQt/uq6KE9Qe10aWOEih2xBr7M8eutHLCp3JVZs8hn1mXSxNRdlHK22JUpYlcQ3NnOwyseahyYOlKYd3jNEh5/6cm+eSXm5iast6otPpbSFnptyz6G5+hY77MPuMZsdIJG1tYx0pmq4Cwj6vd9uMdPtrNDzSOuY3RRY2KkEitSIWHHKS86WUDnjrs8+73ekRhUlp6BUb7jHDdVVl+PbV61WAKULpV2uCym86JcAaQDTaFCyCxbG5ZvVgQss/fkJ27Ek7SrDYlS99XtXdVppQvhOz8GLSxM35EZHFsjMZr1hOEEMQqxWhNkipS7MkT7j+ueZ1WgF1q2aIqR8qau6K/ZUmujI3grYA987uFA3hJe1cYXKYlJ6UM7hRZqj35wv0hf/7ZJsPUTcEXmTXospbCVLT3mqn5MtChcjGPy7SvxX7GBXeZ97wqo+k+i3KNipGlzKYsOStC2cIs6YqzpCbVHqGv+YHX9bjn0YAvPGztwswbRwq08Rhp272VF5GMW4cOqbmUEgKFcaAugTxreihp7ux7sipDKUGY8YAzsw/LMZzIzJM1Y5pysizbIjGKDUbYTKYx4LXqI5QUDEaa0chgXO8d2r7BcStG5P+sFUxWLZ4KS1PYkdUkjwN42R4sg1sUO3upVTpcVz3wcfaWaRFgejH9Efzqn01y+FSI8YrdkivaO5NIa8iyNR2T8mtlIJc05NOBvJJvgOpyTbn4qqzHV9emaOkqDmWZxRUi1QjhISPNhVtifv4H29zz0yHdoftjtMzfV4rHMHPMsuJuXYDcSEA7UBtyh0W5gNJIXFeSA7OrSSmSPMV5zIa2lokQB+YqOZSI07238ZUwKy3I6ndSDaOBsVcZBk94G0EpTNQjTRfz/o6MmbMrb/yzKkuSit1TAnqhB8vsV50jnQeYa0oUXfLBS32Jjs1z5q64JqXdeZ3n7XkxSQq//7EWD++tWc9bZsxdOCe+qMoSJdaSW6tLfgv3pNRM/TR8vYrJx5yTogGCopjJCKczqTC5FpbB86BTSwvyVKKFO1InVbTm2ktj3vEdbX77r6eIUsfikEeFKYqRzrS4s9VKIM8lShboZUwu3HvN2DpncUf8sqg/z8AtBDnoK4aECz4zWz6/L5HqWiyeV/9i2LR+glZrgjRN8XZe9nrCWpMTR5/kxMnP4vlVMGfTa8clyaqiKveadOer7JiU/4BqLUd5A6OqLCkAX92fsWDvtNDl5aRO5XCBZS3li/eGvO9jLdoD33qAzvPGNela56TIWpZLeVXlfa/W30VNTnWKVbG/2iraqbD2KrxXgF6AvMrabipsJknKSSBhbcRUKqTRtl4lUUzUND/0lj4PPhly61cVNBLywhEAKUi0ZJhzZQFygy2NJbctreftYlVb1ptJGF2AN5MvZUbPQSwKbJUZPXMss+9z0LKqao21MDuHQoASKa95+fVc/9yr6XS6eIgAIQO08Uiy4ZvlH/B0S0YJ7KsCyooGH0/mlPT2WNSvSqCubFcnih12LcDTqt8trRUo833VbWApZYL0EvYe9fjDj0xwcDGwbfDO77b3smDvUsNzBeRryZOKNBmb1jT+CZRv2XI7VotSsHiRWMkbIVgrjT82JCgrxDI631RWZFJFGIT0kLFh10zCj7+1y9GzHgdOCYxXFlgCpE/qQM4YyDNKVTkDOr8bHIuLQke7H5ezuCnYPR+MT0mWZGCvrIym6A7CzljJvmfNU+v0fRB4hGFAFAV4eUOBKhpp8+wtBagp/+JSiaUQ5FOFnhHYFUvLVAA/vqmocjKkYPKS7lbaPR9P5hRAVypFyoQgTDjbFvzqeyf4xG0NjK+KdLyTJmuxtypdgKudk6o8G0/qlBm9Qjel76mw9hjYs9dW16SUdXgG6HIAmnX+WAaXInvsgs9Uk6DxpXVV2iPJO39LcW5FQFhCohEYvJzJC3niLrTs3rG2kmB0Jl+yH2GTYqaUFc9ZPJubIshT9tIU9TtZyxul854ljyzYRXEhlM5xdnpTt2Ncdg6lUhLfD896St4yNTUFJi1JjpJrIMtgdEt3HgRScTyqR9nzLsuMUnnr2GuFJ55p7RK4pV6jgKpwTaS04Pa9hAjNp++u88X7G67WJLMEpWPwjL2LXYPL8wbLbsmqstiSFi9f/OP0koN/LTOqXItSBjQZc4sicCu1kWUOSlmP2+30ZGUils16KveafZwkHsJIXvW8Ia9/QZ9AuO4AXTpMgjGaxMBQw0gLIg2xFiQGknxIv52Glmrh7suHIE1FDrjUFLu5lbcstF8zpC7GSLPvNfY+1UVGV5usoKq6MXF2DpNEMzMzA0LcEobBWSklcuPm3Rx86rajwgz/18zsBrROi5KE/IM0pUq/LABbQzOXZcWY67EmqFURLBbANSXNXfa2i+eFFNGOrVP3PHXZyoREaD51e513/9kEJxd8CJRl7lJgKRy486zlWEVjJQCqzD4RFQDnjJ79O8YqZV0+DvQ1TdgSmIuNlwpJkgM+y1doWWqMkBhd1KjYFL/t/NGpbXGLR4pts5p3/mCHN7ysjy8KYKNj99jZxgaGBiJjQZ44MCdakJgC6GnlcenId497GnCXHtsVyOT7dmal26kuXJKi+Ky6858AkiRh86aN9AbR//rEzbcdveLyi+0ePUvtFM9PWekYRpGkFtplopwlW1tfZ4/XSOBUJMrYVnNrBZZibA/0TKaowjWRJSlSBncWUGaWoO+nHFmQvO/jTfYdCqGlclDbxI7V3pk0yfssGatNH2fu8pHJuVXZvzHmrjwvXJS1kj2WtfVYwqdwUWT+gVbT91JYkEthcm9cZMzu6gmE0HbqlTGk2iMeGS7dFfMDb+py/+MBR+dLS1UedFoZkiAYCgr72AWZmYtiSro8r1Gpqh6brpf2a5LCvMhIpPxYMCZHyitlxYgq6lekhMAXhL4hUBqjUsBtQrVp62UEQZ04Mpw9cyxvO6rUkkjzNCA3awJ73A4sF1UJWejwItAsMXemxYUugJ6zd1FAVX6csbenUpa6gt/9ywluf7hWVAlmGUsHbiVxOxSXxyAXtRKqBOa1bMG1gD+uB7/eWzlFXakqrGTqXFpbW0BpNxvQiBL4S5lOKYxtMND2XGuhXKuYRKDQQpP2NS+7ZsS/e3uH//ZnUywPMmC7lUYLB3KPRIrcQaGSK7Hfb9xjJYv3mO15lV/aqbsgMoJzr5cBXz3n9u/K2sPyrS3JDc5C9xuohT4X797O9dddQb8/yK5RmJvbwK7dF906GCz+Rr0eWjYt/zJZtfjKQeG4hl4lT5TLPqpCdpT/X9Ehb+2+wi0Z68pZVR2YPU4qCZ2hNPzxx5u892MturHrw8uY27kmdnZf4ZxUiqoonURRXcEqTL0mmIuBo18v0se763MgZ18ruy0lu7CQLGULcXwyrZUqprRbhNbKdQRZPd7y4Efe0uVH39SlrhPQqZMqKZi40OTakBgYOU0euyMxgjiTKKakxY1Ypc31GrJF66ruzsbWleVOLlsqDlJZstj+yyAIOXN24TcuvviSWzdu3FgAfP2GTXzyb97dT6PFI826cFOgChCu8q+zjppx7S1WA/3pgkspXfKmDGJR1d35BZE5I6LE4KrK3FIm4GueOuTzV7c26MRuMiYZsL08wBQ4aZIfpqK9VQnQT5e9zGWHWP06pf/z9SC9aFcbswyzQLOsvfOLoNSUXNbfqzp/isAz1aoEcoXRiiRWtDzDd7+qx2UXjZBpWY+XwZ4WIDfYoNOBOzGZLi80ejnYTHQRMFZ192qgF8FkAeA00+dmNcizCyJONKlRnDyzeOT/eeev9jdv3lwAHOB5N76Wm170BnZccCG+iov2rLXqQlxLWVGrUQV3AVBTmmNSdUwyQJe/V64CdhF8ViTJGql4z0958rDPO359mscPhBhfFrIkZ3BZsgVNPshnfKeGtazBtWRKJbEjKD0Tfz+5YqoPq774uF1YbMFd2cS11LeZDwwyMvfHTWkyltbKjX9TpMZDR4qrd8f8wTtXuGLXCOK0AHl+xA7shkTbwHOoIdIO5M5hscFlAfhKAGrGHBJTBXrZbRkPNLUpBaElYGcXRn+YctHFF/H27/kO3vId356fzxzgzdY0zYlZ/KBefJCOvStgHwN65VBVth4HeSFZMskx7paYNaSJA3LmfasC2NIldDxf0zWSP/p4k0f2hKSqxNqiqDeBki1YAXXVOcn9fWnGdPbYWIgK2AtWf4bykzXlSQXjpSzmOKuvZvbVkqW832Y2mTaTJ2ZsMpa1EO3OESKVXHvZiH/zxh4tmUKSrsni9nCFTY7NYy2ITclhMYVkyUD8dG6KHgN9mcG1qX49+1rqJEu1McTQqNfZsH4dc3Mz+Xn18vMqApDhQSGbh1TQ2qXTYZFqLoFbiGwJr1YBZoHiuHsyHkiWvy9fHZyDIkoZy3IyR44HlyJFucPzU/oa3veJJh/5YpNRBuYx5kZIZGYLykKarNpnpxLNf40ETw7gqj1YRfbXkifj7F2Up47rcA35KOOqN54B3qC13dBAmqwiVCBcjYow0lbxGWMfa4PInJXUEAjDW1/ZZ88xj/d9vEUvxp4w7agwu3cNbKmWRU9mFvxK15Thzq2tVSm7Ki4AdU5U1kmWOy2iSACVu/KzxI92u5BkSScAnWpmplvMTDUPNevhwTSJVzP4zOwWjh2455Z6o/XB1sQsRqclD7iksce877V0tipJC6WK0Q7l+pLCGsz09JjvPS5TSuDO2dtL6Ebw3k82+bX3TnB+0c9ru8u1JvYQJfY2q7KVq2a2lBwVyRjYy8/HWLvyNfHM4M5QPd4oW3ZSyECfZRkrbF3yxzPGpipZys5KVZerylaFdgScYuOs5ud+sM2/fmOXVphAmjF4ySc3iWNyjdZWj2cJoXhcixun0TM2L7G7HpctObNnMUOJtddg8uycpWnKhvXrmJhoffAzt9x5y47tW1YzOIBSPkFQ+wzINwgZXANpJdFTaQgeT7vnzFz1t8U4k+ev6wqDi7L37RhcuvqScXBn/ZWyZvjkZxq8608nOLvkkjmr2LuasfRFqYtIjO2zQwnQq7xvUQHveBODfUl8LcL+mmxeGbyUSxXH6Wum7nElzhbUQtsBqhmwhSk8cSEy1sbdS1d2YVkc7RFHhk3TKT/3Qx0WO5IP3tyCWsbgYozJs7cpiSkxeV43bkGsxthcu/Ne1IsXM1Qym9u4HZTtzzQ5yxv3AQnnnggBtZqP58lHGo3aZ8bPqSw/ueSqV/LYI1+6azCMH3AddyXQlXW2Wc20ohpgqgykwlSDyDwjaVYztChbgE8PbilTVKg5eNLjAzc3OTMfFOAWY4eUCKe5M+fEc4mJ8U6dciN0DmaqsiQPHh19l/X316lKcjA/49dL3nfZOVjTI6fIalZdlXLgWQSceeq+xOKpVk6vK5JIsmldytu/tc+ubRFEmfbOmDwtpfUtkxtTOCwjLYgMVpebqrOS5HbieFC6drazrN/1GgxuDPieRxJHD/zdzV+86y1vfHXlPHrjJ3Z23TYQgsVzA0wyyguxvJIsKevnqhYvafJV7K5Xfa/9ms41uAVyxuiF9q4wt0xRgebQaY//+gdT3PZgzTZQVrzuqjTxBPkYCE+u1tpP14Oaf09p3O/TVRJmGqVyYYx/v1jbJcmuivJeOKtGumX+uCFnb7spq3UVhLEbQ61VlCWwoBJauiSRRGib3RRaukImQ2oUaJtg0UPDK5475Ffe0eYX/mCSw2cC8N2708JSaIXNFQZB4l7S2uppL9PfLrZQuqTHtaiyt1mtwaVglc5HAml2ng2Neo3dF+5Aa72KKFYB/LKrX46UXvTYAyu0F5cotgepptJXA7uatRyXKZXXs2xlKagsvl87QGfgLgFdpihfc/S8xy/+0SQfubVBJNxuVKLaX5mBW2LZu6jzXmP7bWFWSRLWAGcO4NL3lO3AZyTu8hfXqkdx9RTjWtzel0pms+elOnEy0Fcym0UjhNRWm2shckDbTKgDvDalxcdKlkRDzUt427f0STX8wu9Pcux86EAuLHR06kBuLODdiqmNIBL2OgiknXfiuT9HG5HHP5lM0aIkQbAbWdnyWpNXDlaCVDcmzqYPDFu2bOJNb3hVlCQp/89/+BoAb7bWEdaaP71h447L0+HRlwnTyXc2G9fca6XjV2vycXYvM3nVNcmYWwmNkGlFskiZ4HmaY/MeP/N7k3zsCw2ibDSuWOsoZyyplsHC2tKEsWCzhNxx/7sC6nHa/gfcxnFdrgtfnbYvGD+TMMJUbcPsNVHS4rqkzzOv3HWWl0qjVd5QnCQG30v57tcM8BT87O9Ncex8YPcKL+fKy3+FtufeIEnANT/YljXtcg8GNwErG7mcuSfS5B0/duyEyDe6soOFKL7fQJpqZqeb7N6988s7L9j20+1Od9V5leMv1Ootju3/XKdeD/c16iINg5TQT/G9dPW8v0pSp9TxrqouSNURMXniRpVZehzclZR8glQpp5ckP/f7k3zs1jXA6uzyyQAAKMFJREFUvcoWtEVIvrTsnY1gyy3OEntnYC7vGwSMSZEx/3tNcjZV0P890D0eYI774sWLAp1/r3Bb8Dk3heoQ/aLicLy0tnBU8srDUkrfuEynLa+VeCm89VsG/L/vaLNpNi554uP+eHZop8sp0vvGZj4jQ+G0OHclKWt157YUSaJMwwuS1OagohRGCQwTgRF+Wqs19v3l39zSmZqcWHVqvac75zppv2Nq0rsh6ifX5lMLXYNmMYVoLUYvWLvK3CUGl8XjQp6U5YhGiEJzS6VJfMGffqrFRz7fIFJlQHtj9yVwi9UZy7WDygzMBUDXGg9R9r/X0tfFgHbx98V3NZu5KqlTblszlQRQZglm8qawEW2hUtlJoeSLWy1ulQWuICvzyVON/ZxRIA0iBY+Ut72mz74jHr/xvgkSsJv24CI/WVl/yEwKjEQLax9qAZ5jc+VkizS4qWFl2egqJE1BRLbQKptkm50ugQiaj80vdd8xN9Na89zKtV684JLX0ax10pm5nabViKj5cWlofJW51Vg9ScbGVuvqCmiLYqsscMwSOsVwTFmq6c7AjSe45a46H76lwUgqR7VlQJfuKaRJsa9OCdCYUkODySsDK/vtiDGQl5i6rLXLgM6+YVWZ7NcD7tI3jsNkVSNEKZOZ141Xvs8lWvI0fskjHws+i3tZyXCaPJ3v2FwrdCoJteG7Xt3nW14wQGR2R9ldWXVkbG5yNo9NVsvimihKbkucMbW2idS0/Nyxepxa370fCbqJx+WX7Tbn2kn6vd/5mjXP79My+MzmV2DS/odV/OAl7ZWlpomrO7tICtausDWlbKZjZzGmv0UmSSpa3LJ2xTnxNMKDv7uzxk//3hRPHQ5dw3AZ2ONHIU0K1jZrZCvH2tEwFUAXmK1uhTeuWyqp+zFQf01wj6UxV8sTUXjglAPLMU8862A3VaYv3+uKHge088CxuwsLCofFNnMZtFZ5gCeMwaRw1a6Y//kf2/yUgpvvbFiiVuW/VI3/le41GxWmxjJ4KiBB4JnS5l5kzcoiJyNp7POMiBBWtgxS2LBhpvfGb33+hyebNX7tp9Y+x5Knufn1XWbQfuh3Zf26hSS1J82yWtHJ/nSZx2y6a5W505L1V/RTZuWuZXArYYf4CA8+eUedn/lfkzx1xIF7ldddlSZCumwlpZ0ZMv3NOKifQW6s5aqw+ijfxNiDZ/S6zTO8Plajkjkl5efjer2SsodKFrOyDUrpNVPW3qZcp1Ia0ew6hNKMySPJ5RfE/MZPtPn2l/Qtra6pwx2z50eaV05lXTqx0+a2cEsQGcHIZO1xhSYv63HjXEKJ4dU3XbLwhbue+N3nXLL1aU/10zI4gN98HkQrRMmjGN3B88qZRmfv4fxUkd0XDJ4/xmUqKXzvXHdLnf+/DNxWlsAn76zzX35/kicOBtbrXiNDWZUmRULHW0NzF3t0mjGN/QxgL2N2zEJco3iwhPavX4ePDw/L2br09aIuxbJ6XrdSYfPCE7c7EY+zuXVOhOu8L7ssGGmZ3dWpaDeqSmTRa6lKhshw1YUxv/Zv2xgDn86ZfPxKlcWLWdcxEoxdaQ02oNQCEmFliCUku5NEUS9kN9DyHEF5QrNzQ5NX3Xgpc7OT/OIznNtnBHh9YstodL73b2S462/i3iPNTHZkWruwAnUBaCdRqMiVwuu2UkCXgJ5JEoMQluXxBDffVeNnf2+SJ488TZaSMfaWwo1eGwN3ztpFS9paGnt1wDgG5nGwU218yK6A6tOvDfGs/3WVPKEAbt76kluHZflR1uiFo1KwfDGGz6brS2DXbkhRidmtdCn+Bo1xqXFlG4Dh/9fel8fZVdV5fs+5y3v1aq/UkqWSCkkISYAkQAggCQQabMSmQUyDg7bjTKN2QzuoKGq30yKjbD2KTDvY2A3CCB9RAy3EsVVQMUGCxiBbhuxLhaSyVmpJVb16791z+o97zzm/c959lcpGAc75fF7Vfffet9z7vvd3v7/vbzkAPLBCCaefVMRdn+iDkMC/P18Fu9RGJOoWBbeXLCfgj3tImPyZBOTKIMX0hWkVDDyevhBMYv6sSQOhz/56Wkfb8Ejnd0SADw70iaq6GasnTmN9eza8Uu0lLYk5iT5qqw1jsaHaSCQW2wI6E8TSmwCOumCkx/DTF7L47L11eH2rAjex1BrQ3AI3Z3ZAh2YLuv0F3ahlWZvn5NfV/U402Jl1MSgYaMBX4i3OOoeFkA1GInBTaW2nk4CbXAwxkGXSUzIO+DAYoFsauepxmHBxhU7GkxwPpZMnH8xkwpGTSCdjHlCIcOrUIv7xv/VBSoanV2UR6WPm5IqlR8CdBzP/ZRyoiiQQIbbqHEDAGUJmesUEQYilV17YN//UqasPHuwVGGHwkTZWVbcik63f77H80vqWM4qcDSftiEvw/aRrlFXdblQTz6rCIUCm/QJ5yVJUJGf45e8z+PTX6/D6dgruxEnRlMSPrUGctB7H1RTAgVSHMlUhASxLrgDJLJDbr6NgdfejmD7SIZ2HXk9WugFOtV1xb23lLSvOCG8nM0WQzERXYbE5Ockplxwy0ceF5uQMczqKuOdTvVhydh6ecPRw+txaJlVDgvB08lop4nYS+Qg4FDEMRgz9wxEuXjS3OJCPlo5rrNvfPql1xPM6IsA5z2CobwuCqlN2VtXN3ZLJ1iD0hxAGBQR+Me7Yykl7YjKLggvoWDqMtIJitglwDxAex9OrM/jEP9Zjw/YQus2URUscK54kiSjrHZAQcFnzHhzGesOlLOVt11IBTYFfQT4ZtVToAl5FLOHybQNMODxcJFTFOJfmAtBBIDgyonY26XQp3HJEY1CTdSrlNuKQBYaZU4r45md68ScL8/CiqDKwKzmiQrWsoI+CXhZRhMFCCQ2Ntbhw4SlbFs7t2Pnq652oygRHD/D41/EgB5/aHgaHPtrYejJqq/uQqxpG4Bfg+0VtyXVQRv1PLLOpxrHLzBRN8UIJ4TP84vdZfPJr9diwI4RMVUs825JzIgkS1cS3wF2eRFVJJXErdYCU9Si35DZ4pSEsentleKdGK0GsNlltOLoi5EmmobD3Ubnj7sXgNu40IOeWuqJ1cLpeRT1BS+E8UxUkOeQww8zJRXzj0724aGEeXMkkMgKQKCiIHEtNaz9dPT0BeFQAojxQGAL6+rBo/lQcGBz+6De/v3K77x8evv7hdsjVTYWI+sB4bddgN1u5ZduqxVn/ICa3JFd0ckKNJ6SQoLiasj+qHQRRTQKg86CPVX8Icev9tdiwPYQMR9K4SWeqBDo+TMTSzQK0gW5Xx8c53yQttoJUqFFMoplpTTXpxZFmyEdjxTVdTd7IiloyA3zKwWMHlZF94qn0pGesfuxMqruCNCF8bof8mTT9yJHkj+sKGhmXhZXlgycMmDOAFQVmdRTxvz7dhy/dL/HblzLoPOADodqXGW6uI+MseRPnbNFwLgTaG4cweVYN3nPBjJV/edWSrp7+ATTW1eBwwzvsHgC+fNsduOiyJd0Dhab+R58Ortm563UsmlfQP43tbNLQPFVKKLgBngE27PRx+7drce/3atC5N4h7BzJeAeC+DfDEcqveJtp6c9UKIi7K0A4nmQ7EdLEy/qslIyZTk9jTh5gAhJqSmqkpR3hCaZJH3GGXJfupQBEj+6SoOdwUWqSl85b9B2DNMMHtC9NN7QWhYrHKZS5GO7jFyi5u26k2WNTpCfrqlmACaG6McOGCAsZPiLBuk4/ugxx6wk3qdDLX81BXc2L1lVUvFHHNn+zD129ZgIntsz9zoHvdc+0TZo8Guoe34PpKqDoNufqm1c2t+R+x4U1XdXW/gAmNJaDEoXhg/N+kmdmqitQnlmeATTsD3PbPtXj86Srko2RSHHaYB7d5ty5eIBbbI6AxsiBRSSqss4M6hn8YC19OrI0VP5yXOQq3U5rdXE5eHpmEmlnGKCsiVt2gKYlSU0ByrxNbScvdmEwsd9IwiAttwcFjHTzOOjSWPNboeSxBMgaetHGWycwSvCTR1hThQ5cPIRMAX/7ftdi8MwAyArrDD7g5CJU+qD1pAviSwLi6IZy/YA6mzz7jR8Cpq4EDo4XtKDh4MhbPb0F/z7btH3jv4pvypdblXT0NQCDgV0XwfNptqqQdSKacykQDBwd4wLB5Z4Bbv1WLx5+pQh4U3MoUpae/qq/LAT0LsYoUe8z0D/S0bJnCvdXHIOV/AmTa/Cc1wQpkG4EwY6OCsg3qssESUFNH097dylehuSnaIU1TRkgvQ8W3HYdVWPtxw9GFsy3h6brPijQV+toBzQMZKbD0kiF86YZ+TGsvxpxcmGxDSIG4XZbKaSG8vFSK4/GFCKdOzWLmlMblwOU3QXZtZ2zq8Qc4ACw4fTqioZ92XnvFBa+dPGUK9uyT+Ncna/DGfh8yUBU/RB1RwE5MKg8Ztu318aX7arHs51XISx7zCpeWKI3U1b4TBHnMaN4+scrplfHlEmGZcuKAFyngdmUTV12x8XlEMC9LsHKR7PYqpMXHar+yHBWtmpiLRSksrjxohfEFI/swopxQB5NbiopSXCjIpWSQRaBKClxz6RBuvaEfHW3FuNeEBWhnWQh4pQiTWor4q/cdQlNDHrmq6ZDZy197esWznYzPPKJzO2qKosbUjnYA0+5a/pNXp/3r48Vrn3uhH/88NcJHLh/Ax68chM8FsToGNQXB8OLLIb61LIcfPl2Fgpo6wQm3W3o3aIpfTE10AQNIjgkvlwLLCxnMhaBAWZZvgnKQawrirrN4qz2OpubBAqumH8Zx19ackWUFUia1Zda0RKpe3mTfBOQMVF2hwaDkwlDFxZIlBTs8iYQansKYsvIqki/BIZKKorgrOGcCIpLIeALXXjIECIn7luXwh9dDDAvNB835lfGkvh+/egD/+fJBTJ1cwPVXTkBvccr3e8WiuxjffsTndVROJh1f/vK30DD5tOG25o6fPPzvuy/c31Oa8kYXw7ZtHO+5II9xDcKEl5PkpyHJ8H9+nMPHb6/DmtdDFFlS1q5BPIJywo31jqNaTp530mpNdYhVTqJWUVSDf5YycxplRQzg1LFUjp9ar9cx41Tq64+R/8xkw1HHk2xPcwLL1rnUCsn3hf16dcFyZpxDt5c55/bF6zqk1p2N2iXn7ga1j5O7oJxN10jom5mMi7xnT49w9ZJhdPcxrNsYoKjFk+QKjBimTSzh67f0Yn5HCYHMor2t+bn6iRf9RUf9ykNzT734iAF+RBRFjU9dfx3yaBm86+YPFjomTQQYR+uECNVVRpRljIEHwIBgeOjJHL5wXw329XooWplK1IkkFhyEk5MrvCxSyZFexABbFlQ/uCXhVeDhVOMrs+TMyTUh366S0jASW6kYsk822klYaZTErHPpiU1NEn6e/HejmEIYPi4szk7pibLYvKxKyPRjUZ9D9HFFV4SELyVa6gXuuPEQPnzlIKo9GSefaNAAA0MM+7o4SiWGfGkKSjU3Fhpy9YNNE/7qaKB65BRFjQvOOhmREL9732ULznviid1V11+xB21NAlERqksaNu728dSvsrjjgRr09FFKQk2EbquTopYYSVBZYLs6h1jj5IbuJlDZcpy0rVMlZzMN9GVc3KEvyU4unlnKkgIkvSBorkmZokISrrQqQvanNEUrLYSeKOWFISm+SRQXnUvOTZW+x8yySswSIjk29Rpm+LmZcpBp+sKTDHPJYqUF4GCIez0IAE21Av/jrw8hGwDLn81g0x4/CUd72L3fx/1P1mJaRwnjmpcM8ezc3x2lHQZwFBRFjbvvuh2f/fwXfzV/dnuuvrrz7EtP3+7nAh7nn4QSq9Zm8Ll76vDg8hz6hxS4FaBdCbBCbSVMIpVSTXzVuEeBnTs538qyc2PR6XLZ1OMshYZY2+nU5oQeUC3coR/l6xihEMy+wAgVcauKyiiKdWEyez/13nAvYLVffJWU0w16B5LJenLzhHkfN6RrOfH0c5NLs2zZUG3kMsCSBQXMmVnCpk4PO3cnPSTDKuzYX43ZHfPyc8+87hthJvii79dJHOU4+ksDQGtTtZC9L9x61fntd2er5xQi4cPzgd+8EuJz/1SHn6/KYrhAK3mVKXQsOH3QLLPkB4tzge1MQZpjYlXC84SeOCdc/RAAAQ7IVwJ5uFTD4ZauNbfkwcTSjshN6JBkd+dnLM8TJxKg3t3JCYex+rSXikg817JqoApUI61gOf3BrYdWV2DoiaZH5LYjhUQ2FPjT8/K4+xN9OG9uPk4hlCFmTDmlsLlr9t0PPrLmVsbqR8wWPNw4aoqiRk32QCFibXdWsbbC3v2bbvveMsGX/boWL20IgTCJVulfykUOSZdkacCHzjWxmmQ6dZVWnrcbkidvScFoBX7oV7O2s3TQpxxNaoh+lBhPHVoxSUL2Fd7LagxEaIpgiNst6BA+07RIrVNFx1JTkZhKxPRFGi6vw/pJSJ/F0xWqlFtKWxSYVfBIJmoLmCpdN3xLFAFWAhafNoxv3tyL7/1iGMtfqBHTp4y7bWL7+K+/sedAYbSnq9I4lp9Ajx2bHkJLU+bUn6zc+fJffuH33sBwCHhFxD2lI0I43chkpW5Udm1lTE/iELzSv3XWIJ1221o2lIWp9Q4tKaMi3KExdF2yHKubzCgsah/OwBNqEm9Xr40pisfpfvZ3pEoP7btu0gsk2df0hbRmvlPHz2FPCaMDYGbiAqYnNkj+O1M5muaoZhIx0wUhLlnU5Yd6H5XTbwrJOeltw1Q2KRfGuiTNioTwwbmH3kMCz268OurqnzUv4w+s/egHrj1mbB4TRVFjQM5GpnHeRpY954alf36ZyNTUgMGHX5IIihJeBOd+61hvi7pwze84U6pJ+Tw6tEqHOQ5nmpV2lC3zcTC8mO7gOpuWo4nKVpqlrx7VkM5CWQDI3VFvMJ9qB4VInjh5rlURTR1SKInT65BmKlpKi0N1oOtCHcqjo63x1xUeEAUMwgdKwkN3bz2CmqvFRefMu2HenNM3LlnQcTygeewUBQBmnXwOVq7ZVLjq3YseWPPKG7mzpjffk/V24r3v6kN1VuKljQEefiqHoTJRzAG2Bnv812eAz2UqNRmpnzeVCxVlAdK1ZztM7wCaflMKbk13mPW8fJDtZB8dJ0gbzjb9lGQUUjqr3s/appQU2OuAuGbTg8lpScotVVzHABYkGCRix9miQ0pG5ICUIqFFps7T0BbEXWTJL5uXHA/9Ww4vbwxQnRW4eH4Rp588FQN9zTdPPfWSB87IvB7VNJ57PKB5fAAOAIvPmoE3du6JbvzwFZuvu6yhv6rw/2rHNx8CywJrNwT41YsBNnRySJVVZqHFOJXKeiuVhMOZnBW2zh3TCcd6pzy4A1DjMDL7OtNGxqm5JMGrSkB2n47Gilv53ixlI0v5T7bRmk0X0JZ0mDjZMRCT3oVlrzGAj/flcfIUN2BX6bSmsNlIhh6TtpMqmX2+mATzgO07fPzLEzVYuz4L6TE8+1ILbvvklf1/tuTczX0Hd0f1TXOOFyyPD0VRo662CuNb31g+a87ZN048aWl3qdQODDDMnlHAhWcU4EWOk0l5gwa6sd46HI/yELxxIGW5ZQZxOJECeLoPynGbSj8c0FKnVR/CkagnFYZMXed8ERrcSZ7T9plWIMhSWZxt1naaEUomnXWeW60nSCDIpSKmRsA+ksiT+PWLIdZvDFAMOFomTcI1V/9595nzFt74/Os9yz0/dzwhefwsOADU1dUBAEqFg9/1a6/whZB38aFHWwrF3egbjBvL2EOdBJMGyxi0M2lxb9CkKmkcQVCwOxY7FfSupU5Ztix8+WsqYphVWD7MSA36EKtKlQ9KExg9n852dR0YSsOS9FbE1huJdRdIJo6VSR6KBOeU4ijJT9hRUsEgNK9hukiZqbReZni7OSqASYa6nATzBSa2jsPffuSyfX9z7ZLPDQ0Xv3v+vCnHE44AjjPA9ZuGjRClA9/JNr6HF7Hxjkd/8IuWFb8P4xNCDtbmBfGDOY6l3bMuiVgyWBmEWhIEpSPl1hswYI8/upyeJN/CfD21vzT7qTEatnIkwwBd8RF3B3MAViRTGXWyzAh/0dFKQFftGM4evyDm2dC0R9EVRiKdlnTIbAdT0xaZRC+VBZfGpwLiKOris4Zw3RUhosycfR97//lfyA/nvzOhueFEQPH4UhTrjf1xGD746AOHhhtv+cFvzuiGBDxP6Ha95gc0ziVjZgY03Q0WROe2qmsI2KnlhnEsR6zBBNG4U7BkB3tYOpjV5pFOxAgbpcToRloAqEwtST6M0Awa+CmnI6aFhKuW0Dl/4o61tF6TTDibkm9e1gcx+f6MSXAPKJYYokjg1o+1dU9vr77lnx5+4oHxJwjcwDGE6kczvnL3T7ApWvrKpLb6HR+7cujdhwZ2ZzbtCADwpPWxmuLPBziHz+LaBzWPjjVZK9WCXatuheWpjIjyZR1YZanbtP5trTO6t8oM5Ixm9anMQkZeS0L3ZcuHoVT0bkLuMDrVF9DvBZh97W3xgnXHou+nlh1nOg7Jk7sf7O8DcgwMJLdHfzg9JqWRx/OYcg946nkfz76yoP/sM6feeNmiwUcvWvSJow7Dj2acEIpCx7Kv7BeoyXz/1ZemlM7b6T187uxXs8ufb8CajSGQYVD9TXR1vOLdIOoI4du0gNgFN11fETjmZ3ToivmB6Y/ljtFYa8lwxEzF4uE071u9rSTvS2gKg7HUOtdDvR8M/4aiF0nBsMoN50i4dpIDLpAoLNB98JMJn9R3S3LOBYPkMTcXOtEq/nAu4lI25bj6vsSLGwIs+3WIhXNPHhb+ydd/4EuTH5/S0ndMYfjRjBMOcFb7OXzm9m9F9yw7+fFf3sOjk9uGH9nTvS27Zl093NmHabtjBXLFp131pNzikaQfmH1Rth+zrKJr/dKAzVKWyp+RcTQId8Bt3sveRh1GBntfrTkrMCf1j/Ezw72VpMiU0wgb2Ka+E7qPOFezp6lMQ0J3BHjircZdaqOkBjdiHFxyeB6w8hUPq7eeO3zdf/pw/9VXT3z+poGhqLZm/ImG34kHOAD8z7/7G8ihr0XIdjxx/yP+hzfubXyI+105AQ7GOUIOZLlEyOyU2PLGPSZ6WZYD7oIetsqSKhMScJXlnuhHBaQye7mCwR/1kM5ynGR6+NfQfimMmdwTZdmVu6qrhBKEq5I2jjiFNZ4WJJkSBfELuFJLGMA8Mm2hlBD6FpNU/YikLYCQ5m7CAF+UkM8zfOjyaYNzT2/8iAxnrQSwzwvrTiDizDhhTqY7WNXNuO7mfvnUL7b9sG385OvPnDO1N+f7yHIgxyUyzEw3wlMSpmzt2+bTVnFDGpdlBqw2R8XowUkQaGUPmrXpx32E50mWLcCR25yN5INM0MiE7O2MQ/c/dTipo2n6qWjHUpD9hMkOpOF91X45EhylyEOh4KFQDCHDU3rHtXRcv7DxDz+cN/723YyxKBceizkY/TihTqY7Xlv1Y5xzyYcwfcbs1yZNbNl1+ozxF/T39OUOHRpC1mdJPxOnMockJNFeJyY5qXIXq3IuzqyLxtqmnURi/Rl0brd2MHWhEXNoj3EiVdJVmnNZycl0v1Oqlq+XlSdRfgGr9VoGhX2RGTXIKTGzCL69rzEIhAZylTuuKkdN+mx8QQkwvwWZukUHeDjtkwNDkx6tbZXw6v/hzYTcMYbdjmHs3teDTOj/14f+bdWd33nsVy19Pb0IA09P9gnEt0/O48CPqrn0LIBLktXnAIW7gCHtIFIAZNU0pqzn9AJg9nJcy2lqNbm+KMiyrvdMUhGcwovydVI/Nw61JJ9JHWoS+NKONrmrcXedLN9Xv7dZZ00ArCfvpdO2qzba8e+lrD+TJWRztWiadNm+6nGXfF7K4oOZbNOY4OxN4eBpY3xLAw72DT74X96/iOV83PHY48+07NnfixLz41o+QLtGsXVyZcEUcCuA83LLVmbtXHpCnTX9lJF1Rzax1PEYI6WnWMNxNBmSAI6qy9dcnJF3kPq5AAMTAHjsaIJJCKVJqsJg3WZZgKvQqjqnitNHDPlhwA9b0Np26b661ou+AMgHPX9swA2MIcABoLEuh76+gQeWXr6w1FjN7/nBkysaX9ncHc8cDYaAx9XYoLSF5kKnOZdlt36nFRlgqsqT97ZuxcDY3daOdkjDv5PApA5eKQ4ukoAZOQuQBOxIJEShzoGQRniPYsFLzR4hpLkbKksuJBBxDulNRlP7xQfrWs/+rBDs4SCsHtNTM6YAB4C6umqIUuG7f3rxgu6tnbunj59SuPvbT6wKgiBEfcZD4Jli4jQe7iokleoWLV6NcjATamqB/u0w1J3OHIDUwDboT0DOzDoBBk4rbKznSedalkiGkUkBYDrqFIM7mxmExwtg1e8pdvc13jJu/MLNYLn/G4RvqouXOsYc4ADA/VA8v2bd8ive+75wV9fvBmd0HLrvgSfXsx1vgNcExmJ7ScWKxytYbYwC3Mpaqz+ar5Rb7qMFOQ3ayNGSm6P9LOelVlmJsuJMyYYmmSoRwVX9e3y+Em2SSfu8Shlr4J7O75E6rB8EJezrD0XeWyQn1p36t7PPPPuhwd7thUzmtGMHxnEYbwmAA8C7zpqF0sBzhdnTa787Z+r4Z9du9f+iPnvgK7t27IQXcgScwfeSvvjKgJSBmigHI4Hb5d8p/98K44i/i5uzklzFTBptOg3khqaYeXwU4NW50vMFJREgjwsILgB/MuqbWv5hy45TfjgUTNqxcffGwiXvOmusT50ebxmAA4BfvQgAhv77PU9smDtv3p2NVdvCXa3Vf79t63ZPimEEnFvKgpUfgXihjE9TcLscWwEAsNB0dCAnrulRvAEbqcrnCL+BRVlUYl+yPCLImeqfEhN5cnNLushKSBF3n/X8LBrqp0VhdctXm1om3FlbeyBqmTrr2A7gBIy3ksGyxlfufQJfvOlqvLFr/1eX/3TFzSt+sybT29MHKSJ4Hk8tDFAHRJ1Ki6cnO5j/rMJdIIXmcDsJq1wmRFxozKgsyMzrDiMTUqdZFR575EJWMqG7TBObYH13e7sOFVnHmMiLTt8Scj2Q8yohIeD7HqpztZjYccZwx4zFX8vkWv5+95ZHMH7ah8YaMhXx8JYd3Qf7EDfLYHesfX3LeY88tpwXhvPn7d3X7Xu+D4A0lyQHdDhwM/Kk0na1D70DaK08DewEyBbA1XIKwI12nQJ0bieOebQ0j1O9GonKRGW7eLt9vAb4I4GcDhPdlIiiCLnqplJVVbhqzvzLRWPztFVC4AuBzxBm35yw+9GMtzTA6Xj0sacQBn5tb/+hb2/ctP2aN3Z18f7+ITDm2SBPoSbM+aFdKqNPRBogaPSTp1htAnzaOqIM7CMAXLeLUABXOr8FfmlZd6Us0cCN/s5IAJ5yTGaf8kCQpjXKQRYMhaIA96rQ0NQmxjV3/CCTrflYFBX755393rGGxKjG2wbgALB+41ZUVWWbd+zYddOq3645bffeg1e9unYzfN+H58XTCaq4hN3fxDif1sG7vJuZE+LSFDeSaegHtewEyCnWXPVFYUTmdL8nBbi9jQDcAqUBOL1YFS0BOS4qJJoIpsmhZzr4A0gRQYgIDc0z4IcNPzppxvzXGsdNuLdYyO9vbp061lAY9XhbAVyNTVs6UV9X0/GHV9Z94+VXN1y15sW16Ovvg+epWdiSdFsvnmvHstayTGyokKvhcO20ggenQKKMnhxJ4x8KZieYpaysCXbZYfo0/myOJT5a2h9F7cSZhOdJPa8RmESpJFGKBGpratDWPgfNbTN/1DJh5icLwwPbG5vax/qnP+LxtgQ4AOzZux9BEMxYu27L3IFDgzet37D+glWr12H3vl5UZX1kfIbAB3zPLjejpVwVTwC5IOKIHbHWJPnKoiPayTTOptlndJ2tKIAtq04Brri4k3tS6VgUVaF9CmUiq3AeAzz0BTKBAGcFSN6AmsY5mHrS9BVhJndvY/NJr4iotKm6dtxY/+RHNd5SMuGRjLbWZgDYJKXcBOA13ytNmDbjlPtXv7huxu9Wv+wJUYLHuQVwIYEokhUVGDWsPGoAUBM1uQgi0l5565Ik/O08p4MB5ahkFdbRp8onINl9FgdJGyyuSYhEMjksWNxGWUj4XCITApOmnBXVt8za1N3DPt4x47wuABvSqN3baby9vz0ZO7oOICpFHRs2d07KZfxlz/zy13X79nZVDw0OxnovgGJJolCUiJJCKQ0OMqT+A81dteVljgW2aIirpig6E3Nxj/Qv1O2dnbbO6Rbapiye6kfITUGI/f2ZqdiB7YBGEUO+yFAoai8S1TU5TG4fP3DavPP7OApL65sm72Tc2x5kWsb6Jz0u421rwd0xecI4CCG2d7S37DjY039qNmTnAuJf1m/YWNq0cVNTX9/B2u6+IgYPFcEB+D63sgoBQl9IDwbGkliIaiqf0oKKVo6DUAFj/A4TxWH296hkNK1UVxjaoj8l6XOiVSVLDhTwPYmBYR8D+QAtzU39HR3TutunTPd9n320sXnqC0FY2wtIwfRkrW//8c45EgCcczDGxHB+4GDH5Ik/a6ivm/m9x5ZN/+AHP/DVd198ztqGlvEvIajLV+WqIEQEIYRuaaYsppqYqSSASEgIIa3ZykYaZq54qZ9LVdSbsj/V4KkuXf7GjvMIlZedOIie1I6nhKrEiWcmljKeu7KqqgoT2jL5ttbcS+1Tz1h76WXv/+rKZ5+cnsvVzqxvnPiz3t7Bg4yxdxS41Tl+R4/Ozk54ns/WvfZbbNglvepc7j5E+ZmbN29btHPXbq9UHAYgUCgUISRHMQJKERAJJG0oAN8DPI/B95hWZtRMyCxBJpUXOWfwGAP3ErriMfMaTVdgEsc8M0FWWtBJJ5p5cTNS349BrR6cSUSSoVhiyA8z5IcFPC9AGHJU5zKob2iNWsZPea6hLtgwONh/w8vreXTxknehVCrJiZMmj/VPdELHOx7g7jjQ3YNsNtO4Z+/+259a/kzYuaMzaqzPnSmEPGtr5x7s7+5H3xDA4CEMGLIhQxhwBB7g+zFIfS9WZzjpnG9oilFYPE8BOl6mAI8vlBi8vmeH5k1tpfEBfE/C94HAiwEeeBJBECETRAj9CIVihN5DISSvBQ9aALA1Hh96ceKEdm/OvIsL1bVNf1cqFQ5WV9eP9U/wpo4/OoC7Y+XKlWAMFwwOFd69Z1/f0kMDg6ds7RrCitUbUB8W4ck8OBPwPaAq4yOT8RH4jAA8BmIkkLQsU4Bk8DyugV0J4PHdIQawp0u/kFCM+OfxuETgA0Eg4fEIHisi8CWqsgyN9R6aGgoIqk9D70AT/DC3PpI1y8DDn0PKFeecu2isT/GYjneMk3m0Y/HixQCwYt/+7hUAVkal0vT1nd3i+bW7xWkzG0+aMWXc57d17kAY+Ni3dw96enqAkINnPIRBAAAoluIJTwulOI4aBjymFYDjX6YL1pzFQA+8uMFlocQQRUChFPNoj5UgQgkmBWoaG9Dc0gKIEppbJ8GTe+6sz27ZOu6k8/kETOSB728G8LPqmoaxPrVvifFHb8Erja6uvchmMw2dO7ouWPPSa/A4L9bX5T4lpbg05t8C69e/ir7efvQNRCiVJPoGI+TzRQReEVUZjiDg8DmH7yeAJyH72GonwA4karISjfUeGA/Q0++hWGLo6RfIVtVgwYL5yIYcgQ9wzp6WYugeKUQwccps1DdOWFEqDvfU1b8zZL3jPf7oLXilMWFCKwD0AHgKAHbu6gKAdaVS1MYZRBSVsHf3NhTyeQwVODiXGO4pFhcvWnhrqTDwZz6LitzjCT3hRqmBSeBS9IRBor7WC5qbcj/etvnFWz0/E0jGABYhzOQwfcZsZDI+PAbOmLcHwNam5hPfFeqdMP6/BT+O4+fPPAcw1rZ/3956jqLUQR4/aexPErgAwPdjHi6lQH1twMaPb+2VUu6ZNvO8sT6Ud8z4D+pnYCtL/QvqAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE3OjQ0OjI4KzAwOjAwa2RYVQAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxNzo0NDoyOCswMDowMBo54OkAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 1}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25019785
    {'hecke_orbit_code': 4505317631068912, 'n': 1, 'trace_an': 4}
  • id: 25019786
    {'hecke_orbit_code': 4505317631068912, 'n': 2, 'trace_an': 0}
  • id: 25019787
    {'hecke_orbit_code': 4505317631068912, 'n': 3, 'trace_an': 0}
  • id: 25019788
    {'hecke_orbit_code': 4505317631068912, 'n': 4, 'trace_an': 2}
  • id: 25019789
    {'hecke_orbit_code': 4505317631068912, 'n': 5, 'trace_an': 0}
  • id: 25019790
    {'hecke_orbit_code': 4505317631068912, 'n': 6, 'trace_an': 0}
  • id: 25019791
    {'hecke_orbit_code': 4505317631068912, 'n': 7, 'trace_an': 0}
  • id: 25019792
    {'hecke_orbit_code': 4505317631068912, 'n': 8, 'trace_an': 0}
  • id: 25019793
    {'hecke_orbit_code': 4505317631068912, 'n': 9, 'trace_an': 0}
  • id: 25019794
    {'hecke_orbit_code': 4505317631068912, 'n': 10, 'trace_an': 0}
  • id: 25019795
    {'hecke_orbit_code': 4505317631068912, 'n': 11, 'trace_an': 2}
  • id: 25019796
    {'hecke_orbit_code': 4505317631068912, 'n': 12, 'trace_an': 0}
  • id: 25019797
    {'hecke_orbit_code': 4505317631068912, 'n': 13, 'trace_an': 0}
  • id: 25019798
    {'hecke_orbit_code': 4505317631068912, 'n': 14, 'trace_an': 2}
  • id: 25019799
    {'hecke_orbit_code': 4505317631068912, 'n': 15, 'trace_an': 0}
  • id: 25019800
    {'hecke_orbit_code': 4505317631068912, 'n': 16, 'trace_an': -2}
  • id: 25019801
    {'hecke_orbit_code': 4505317631068912, 'n': 17, 'trace_an': 0}
  • id: 25019802
    {'hecke_orbit_code': 4505317631068912, 'n': 18, 'trace_an': -2}
  • id: 25019803
    {'hecke_orbit_code': 4505317631068912, 'n': 19, 'trace_an': 0}
  • id: 25019804
    {'hecke_orbit_code': 4505317631068912, 'n': 20, 'trace_an': 0}
  • id: 25019805
    {'hecke_orbit_code': 4505317631068912, 'n': 21, 'trace_an': 0}
  • id: 25019806
    {'hecke_orbit_code': 4505317631068912, 'n': 22, 'trace_an': -2}
  • id: 25019807
    {'hecke_orbit_code': 4505317631068912, 'n': 23, 'trace_an': 0}
  • id: 25019808
    {'hecke_orbit_code': 4505317631068912, 'n': 24, 'trace_an': 0}
  • id: 25019809
    {'hecke_orbit_code': 4505317631068912, 'n': 25, 'trace_an': 0}
  • id: 25019810
    {'hecke_orbit_code': 4505317631068912, 'n': 26, 'trace_an': 0}
  • id: 25019811
    {'hecke_orbit_code': 4505317631068912, 'n': 27, 'trace_an': 0}
  • id: 25019812
    {'hecke_orbit_code': 4505317631068912, 'n': 28, 'trace_an': 0}
  • id: 25019813
    {'hecke_orbit_code': 4505317631068912, 'n': 29, 'trace_an': 2}
  • id: 25019814
    {'hecke_orbit_code': 4505317631068912, 'n': 30, 'trace_an': 0}
  • id: 25019815
    {'hecke_orbit_code': 4505317631068912, 'n': 31, 'trace_an': 0}
  • id: 25019816
    {'hecke_orbit_code': 4505317631068912, 'n': 32, 'trace_an': 0}
  • id: 25019817
    {'hecke_orbit_code': 4505317631068912, 'n': 33, 'trace_an': 0}
  • id: 25019818
    {'hecke_orbit_code': 4505317631068912, 'n': 34, 'trace_an': 0}
  • id: 25019819
    {'hecke_orbit_code': 4505317631068912, 'n': 35, 'trace_an': 0}
  • id: 25019820
    {'hecke_orbit_code': 4505317631068912, 'n': 36, 'trace_an': 0}
  • id: 25019821
    {'hecke_orbit_code': 4505317631068912, 'n': 37, 'trace_an': 2}
  • id: 25019822
    {'hecke_orbit_code': 4505317631068912, 'n': 38, 'trace_an': 0}
  • id: 25019823
    {'hecke_orbit_code': 4505317631068912, 'n': 39, 'trace_an': 0}
  • id: 25019824
    {'hecke_orbit_code': 4505317631068912, 'n': 40, 'trace_an': 0}
  • id: 25019825
    {'hecke_orbit_code': 4505317631068912, 'n': 41, 'trace_an': 0}
  • id: 25019826
    {'hecke_orbit_code': 4505317631068912, 'n': 42, 'trace_an': 0}
  • id: 25019827
    {'hecke_orbit_code': 4505317631068912, 'n': 43, 'trace_an': -2}
  • id: 25019828
    {'hecke_orbit_code': 4505317631068912, 'n': 44, 'trace_an': -2}
  • id: 25019829
    {'hecke_orbit_code': 4505317631068912, 'n': 45, 'trace_an': 0}
  • id: 25019830
    {'hecke_orbit_code': 4505317631068912, 'n': 46, 'trace_an': 0}
  • id: 25019831
    {'hecke_orbit_code': 4505317631068912, 'n': 47, 'trace_an': 0}
  • id: 25019832
    {'hecke_orbit_code': 4505317631068912, 'n': 48, 'trace_an': 0}
  • id: 25019833
    {'hecke_orbit_code': 4505317631068912, 'n': 49, 'trace_an': -4}
  • id: 25019834
    {'hecke_orbit_code': 4505317631068912, 'n': 50, 'trace_an': 0}
  • id: 25019835
    {'hecke_orbit_code': 4505317631068912, 'n': 51, 'trace_an': 0}
  • id: 25019836
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  • id: 25019837
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  • id: 25019838
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  • id: 25019839
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  • id: 25019840
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  • id: 25019841
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  • id: 25019842
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  • id: 25019843
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  • id: 25019844
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  • id: 25019845
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  • id: 25019846
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  • id: 25019847
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  • id: 25019848
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  • id: 25019849
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  • id: 25019850
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  • id: 25019851
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  • id: 25019852
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  • id: 25019853
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  • id: 25019854
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  • id: 25019855
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  • id: 25019856
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  • id: 25019857
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  • id: 25019858
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  • id: 25019859
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  • id: 25019860
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  • id: 25019861
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  • id: 25019862
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  • id: 25019863
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  • id: 25019864
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  • id: 25019865
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  • id: 25019866
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  • id: 25019867
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  • id: 25019868
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  • id: 25019869
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  • id: 25019870
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  • id: 25019871
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  • id: 25019872
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  • id: 25019873
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  • id: 25019874
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  • id: 25019875
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  • id: 25019876
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  • id: 25019877
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  • id: 25019878
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  • id: 25019879
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  • id: 25019880
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  • id: 25019881
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  • id: 25019882
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  • id: 25019883
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  • id: 25019884
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  • id: 25019885
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  • id: 25019886
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  • id: 25019887
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  • id: 25019888
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  • id: 25019889
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  • id: 25019890
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  • id: 25019891
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  • id: 25019892
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  • id: 25019893
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  • id: 25019894
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  • id: 25019895
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  • id: 25019896
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  • id: 25019897
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  • id: 25019898
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  • id: 25019899
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  • id: 25019900
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  • id: 25019901
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  • id: 25019902
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  • id: 25019903
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  • id: 25019904
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  • id: 25019905
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  • id: 25019906
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  • id: 25019907
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  • id: 25019908
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  • id: 25019909
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  • id: 25019910
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  • id: 25019911
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  • id: 25019912
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  • id: 25019913
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  • id: 25019914
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  • id: 25019915
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  • id: 25019916
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  • id: 25019917
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  • id: 25019918
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  • id: 25019919
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  • id: 25019920
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  • id: 25019921
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  • id: 25019922
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  • id: 25019923
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  • id: 25019924
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  • id: 25019925
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  • id: 25019926
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  • id: 25019927
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  • id: 25019928
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  • id: 25019929
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  • id: 25019930
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  • id: 25019931
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  • id: 25019932
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  • id: 25019933
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  • id: 25019934
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  • id: 25019935
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  • id: 25019936
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  • id: 25019937
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  • id: 25019938
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  • id: 25019939
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  • id: 25019940
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  • id: 25019941
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  • id: 25019942
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  • id: 25019943
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  • id: 25019944
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  • id: 25019945
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  • id: 25019946
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  • id: 25019947
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  • id: 25019948
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  • id: 25019949
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  • id: 25019950
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  • id: 25019951
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  • id: 25019952
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  • id: 25019953
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  • id: 25019954
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  • id: 25019955
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  • id: 25019956
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  • id: 25019957
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  • id: 25019958
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  • id: 25019959
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  • id: 25019960
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  • id: 25019961
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  • id: 25019962
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  • id: 25019963
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  • id: 25019964
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  • id: 25019965
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  • id: 25019966
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  • id: 25019967
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  • id: 25019968
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  • id: 25019969
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  • id: 25019970
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  • id: 25019971
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  • id: 25019972
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  • id: 25019973
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  • id: 25019974
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  • id: 25019975
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  • id: 25019976
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  • id: 25019977
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  • id: 25019978
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  • id: 25019979
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  • id: 25019980
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  • id: 25019981
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  • id: 25019982
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  • id: 25019983
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  • id: 25019984
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  • id: 25019985
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  • id: 25019986
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  • id: 25019987
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  • id: 25019988
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  • id: 25019989
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  • id: 25019990
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  • id: 25019991
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  • id: 25019992
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  • id: 25019993
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  • id: 25019994
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  • id: 25019995
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  • id: 25019996
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  • id: 25019997
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  • id: 25019998
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  • id: 25019999
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  • id: 25020000
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  • id: 25020001
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  • id: 25020002
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  • id: 25020003
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  • id: 25020004
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  • id: 25020005
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  • id: 25020006
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  • id: 25020007
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  • id: 25020008
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  • id: 25020009
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  • id: 25020010
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  • id: 25020011
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  • id: 25020012
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  • id: 25020013
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  • id: 25020014
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  • id: 25020015
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  • id: 25020016
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  • id: 25020017
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  • id: 25020018
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  • id: 25020019
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  • id: 25020020
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  • id: 25020021
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  • id: 25020022
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  • id: 25020023
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  • id: 25020024
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  • id: 25020025
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  • id: 25020026
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  • id: 25020027
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  • id: 25020028
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  • id: 25020029
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  • id: 25020030
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  • id: 25020031
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  • id: 25020032
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  • id: 25020033
    {'hecke_orbit_code': 4505317631068912, 'n': 941, 'trace_an': 0}
  • id: 25020034
    {'hecke_orbit_code': 4505317631068912, 'n': 947, 'trace_an': 4}
  • id: 25020035
    {'hecke_orbit_code': 4505317631068912, 'n': 953, 'trace_an': 0}
  • id: 25020036
    {'hecke_orbit_code': 4505317631068912, 'n': 961, 'trace_an': 4}
  • id: 25020037
    {'hecke_orbit_code': 4505317631068912, 'n': 967, 'trace_an': 0}
  • id: 25020038
    {'hecke_orbit_code': 4505317631068912, 'n': 971, 'trace_an': 0}
  • id: 25020039
    {'hecke_orbit_code': 4505317631068912, 'n': 977, 'trace_an': -4}
  • id: 25020040
    {'hecke_orbit_code': 4505317631068912, 'n': 983, 'trace_an': 0}
  • id: 25020041
    {'hecke_orbit_code': 4505317631068912, 'n': 991, 'trace_an': 0}
  • id: 25020042
    {'hecke_orbit_code': 4505317631068912, 'n': 997, 'trace_an': 0}