Embedded newform data - 1872.2.c.i.1585.1

Formats: - HTML - YAML - JSON - 2025-09-13T03:50:30.557146

• 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': 7488, 'analytic_conductor': 14.947995258383688, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 13, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [1872, 2, [703, 469, 209, 145], [2, 2, 2, 1]], 'cm_discs': [], 'conrey_index': 1585, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [16, 0, 1]], [7, [4, 0, 1]], [11, [4, 0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028934491473744, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 13, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1872.2.c.i', 'level': 1872, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'minimal_twist': '312.2.c.c', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+2\\beta q^{5}-\\beta q^{7}-\\beta q^{11}+(-\\beta+3)q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1872.2.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 278727556673792469, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.031', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.933', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.230', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.829', 'prec': 20}, {'__RealLiteral__': 0, 'data': '3.287', 'prec': 17}, {'__RealLiteral__': 0, 'data': '142.978', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.519', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 12, 0, 0, 0, 0, 0, 16, 0, -22, 0, 0, 0, -12, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 6, 0, 0, 0, 20, 0, 16, 0, 0, 0, 0, 0, -4, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, -16, 0, 0, 0, 0, 0, -12, 0, -16, 0, 0, 0, -8, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 32, 0, 0, 0, -24, 0, 8, 0, 0, 0, 0, 0, 8, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, -28, 0, 0, 0, 0, 0, 8, 0, 28, 0, 0, 0, -32, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 24, 0, 0, 0, 0, 0, -40, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -8, 0, 0, 0, 0, 0, -4, 0, 16, 0, 0, 0, -48, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, 0, -112, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 8, 0, 0, 0, 0, 0, -16, 0, -44, 0, 0, 0, -40, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 30, 0, 0, 0, -64, 0, -32, 0, 0, 0, 0, 0, -36, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 16, 0, 0, 0, 0, 0, 56, 0, -48, 0, 0, 0, -24, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -48, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, -72, 0, 0, 0, -24, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 8, 0, 0, 0, -36, 0, 8, 0, 0, 0, 0, 0, 82, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 8, 0, 0, 0, 0, 0, 12, 0, -56, 0, 0, 0, -176, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 96, 0, 0, 0, 48, 0, -28, 0, 0, 0, 0, 0, 64, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 82, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, -20, 0, 0, 0, 0, 0, -48, 0, 56, 0, 0, 0, -44, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 52, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 64, 0, 0, 0, 0, 0, 132, 0, 48, 0, 0, 0, 48, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -32, 0, 0, 0, 16, 0, -20, 0, 0, 0, 0, 0, -16, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -76, 0, 0, 0, 0, 0, 32, 0, 128, 0, 0, 0, -36, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -4, 0, 0, 0, 36, 0, -80, 0, 0, 0, 0, 0, 14, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -96, 0, 0, 0, 0, 0, 28, 0, -104, 0, 0, 0, 80, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 48, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 12, 0, 0, 0, 0, 0, 64, 0, -138, 0, 0, 0, 128, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 64, 0, 64, 0, 0, 0, 0, 0, 12, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -24, 0, 96, 0, 0, 0, 80, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, -88, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 4, 0, 0, 0, 0, 0, 208, 0, 44, 0, 0, 0, -56, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 8, 0, 0, 0, 224, 0, 80, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -88, 0, 0, 0, 0, 0, -84, 0, 240, 0, 0, 0, -16, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 160, 0, 0, 0, -16, 0, -66, 0, 0, 0, 0, 0, -96, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, -124, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -92, 0, 0, 0, 84, 0, -80, 0, 0, 0, 0, 0, -48, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -220, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, -64, 0, 0, 0, -176, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -96, 0, 0, 0, -48, 0, 12, 0, 0, 0, 0, 0, -32, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -36, 0, 0, 0, 0, 0, 104, 0, 108, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -116, 0, 0, 0, 40, 0, -136, 0, 0, 0, 0, 0, 96, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -40, 0, 0, 0, 0, 0, 64, 0, 64, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, -56, 0, 0, 0, 240, 0, -120, 0, 0, 0, 0, 0, 80, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42, 0, 0, 0, -24, 0, 0, 0, 0, 0, 64, 0, -96, 0, 0, 0, -40, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 4, 0, 0, 0, -108, 0, -96, 0, 0, 0, 0, 0, -100, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -92, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 48, 0, 0, 0, 0, 0, -8, 0, -96, 0, 0, 0, -56, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 82, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -8, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -140, 0, 0, 0, 0, 0, -16, 0, 28, 0, 0, 0, 160, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -64, 0, 0, 0, 24, 0, -64, 0, 0, 0, 0, 0, 20, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 96, 0, 0, 0, 0, 0, 280, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, -54, 0, 0, 0, 0, 0, 160, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 60, 0, 0, 0, 0, 0, -208, 0, 88, 0, 0, 0, 36, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 72, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, -64, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -32, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.7888543819998317], [0.0, 0.0], [0.0, 0.7559289460184545], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.6030226891555273], [0.0, 0.0], [0.8320502943378437, 0.5547001962252291], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.4552137502179978, 0.0], [0.0, 0.0], [0.0, -0.45883146774112354], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.6681153124565982, 0.0], [0.0, 0.0], [-2.2, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.1141720290623112, 0.0], [0.0, 0.0], [0.0, 1.796053020267749], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3522468075656264, 0.0], [0.0, 0.0], [0.0, -0.6575959492214292], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6099942813304187, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.2917299829957891], [0.0, 0.0], [0.42857142857142855, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3736056394868903, 0.0], [0.0, 0.0], [1.0787197799411874, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 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'conrey_index': 1585, 'dual_conrey_index': 1585, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 9, 'hecke_orbit_code': 36028934491473744, 'label': '1872.2.c.i.1585.1', 'level': 1872, 'weight': 2}
• 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': 7488, 'analytic_conductor': 14.947995258383688, 'char_conductor': 13, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [1872, 2, [703, 469, 209, 145], [2, 2, 2, 1]], 'conrey_index': 1585, 'cusp_dim': 312, 'dim': 34, 'eis_dim': 48, 'eis_new_dim': 2, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 137472509776, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 8], 'label': '1872.2.c', 'level': 1872, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'mf_dim': 360, 'mf_new_dim': 36, 'num_forms': 12, 'prim_orbit_index': 2, 'relative_dim': 34, 'sturm_bound': 672, 'trace_bound': 17, 'trace_display': [0, 0, 0, 0], 'traces': [34, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 4, 0, 0, 0, 0, 0, -8, 0, -34, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -30, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 24, 0, 0, 0, 0, 0, -16, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 32, 0, 0, 0, -84, 0, 16, 0, 0, 0, 0, 0, 20, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 24, 0, 0, 0, 0, 0, 52, 0, -28, 0, 0, 0, -20, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -24, 0, 0, 0, -48, 0, 52, 0, 0, 0, 0, 0, 40, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, -48, 0, 0, 0, 0, 0, 20, 0, -52, 0, 0, 0, -48, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -48, 0, 0, 0, 128, 0, 34, 0, 0, 0, 0, 0, -8, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26, 0, 0, 0, -44, 0, 0, 0, 0, 0, -160, 0, 24, 0, 0, 0, -48, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 30, 0, 0, 0, -88, 0, 104, 0, 0, 0, 0, 0, 20, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 144, 0, 0, 0, 0, 0, 24, 0, -40, 0, 0, 0, 52, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, -96, 0, 0, 0, 0, 0, 164, 0, 48, 0, 0, 0, 20, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 40, 0, 0, 0, 84, 0, 16, 0, 0, 0, 0, 0, 66, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, -140, 0, 0, 0, 0, 0, -52, 0, -252, 0, 0, 0, -176, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -292, 0, 0, 0, 200, 0, 80, 0, 0, 0, 0, 0, -16, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -110, 0, 0, 0, 88, 0, 0, 0, 0, 0, -296, 0, -72, 0, 0, 0, 32, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 8, 0, 0, 0, 88, 0, 32, 0, 0, 0, 0, 0, -16, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 144, 0, 0, 0, 0, 0, 48, 0, 104, 0, 0, 0, 76, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 56, 0, 0, 0, -284, 0, 100, 0, 0, 0, 0, 0, 132, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 8, 0, 0, 0, 0, 0, 320, 0, -40, 0, 0, 0, -92, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -132, 0, 0, 0, -104, 0, -192, 0, 0, 0, 0, 0, -26, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, -244, 0, 0, 0, 0, 0, -28, 0, 84, 0, 0, 0, -112, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, -228, 0, 0, 0, 304, 0, 88, 0, 0, 0, 0, 0, 120, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, -172, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -36, 0, 0, 0, 0, 0, -328, 0, 6, 0, 0, 0, -8, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, -20, 0, 0, 0, -136, 0, 240, 0, 0, 0, 0, 0, 36, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 46607759
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 1585, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028934491473744, 'target_is_minimal': False, 'target_label': '1872.2.c.i.1585.1', 'target_level': 1872, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46607760
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 337, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007336727249520, 'target_is_minimal': False, 'target_label': '624.2.c.c.337.2', 'target_level': 624, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46607761
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007336727249832, 'target_is_minimal': False, 'target_label': '936.2.c.c.649.1', 'target_level': 936, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46607762
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 25, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007336727249208, 'target_is_minimal': True, 'target_label': '312.2.c.c.25.2', 'target_level': 312, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46607763
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 1585, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028934491473744, 'target_is_minimal': False, 'target_label': '1872.2.c.i.1585.2', 'target_level': 1872, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 2}
  • id: 46607764
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 961, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525334864103872, 'target_is_minimal': False, 'target_label': '2496.2.c.h.961.1', 'target_level': 2496, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46607765
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 961, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137472510400, 'target_is_minimal': False, 'target_label': '2496.2.c.a.961.1', 'target_level': 2496, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46607766
    {'conductor': 39, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444119984, 'target_is_minimal': False, 'target_label': '8112.2.a.p.1.1', 'target_level': 8112, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '39.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46607767
    {'conductor': 39, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33562544, 'target_is_minimal': False, 'target_label': '8112.2.a.a.1.1', 'target_level': 8112, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '39.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 46607768
    {'conductor': 39, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 337, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007336727249520, 'target_is_minimal': False, 'target_label': '624.2.c.c.337.1', 'target_level': 624, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '39.38', 'twisting_conrey_index': 38, 'weight': 2}
  • id: 46607769
    {'conductor': 52, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007336727249832, 'target_is_minimal': False, 'target_label': '936.2.c.c.649.2', 'target_level': 936, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '52.51', 'twisting_conrey_index': 51, 'weight': 2}
  • id: 46607770
    {'conductor': 156, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307263448, 'target_is_minimal': False, 'target_label': '4056.2.a.k.1.1', 'target_level': 4056, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '156.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 46607771
    {'conductor': 156, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 76561193698856920, 'target_is_minimal': False, 'target_label': '4056.2.a.r.1.1', 'target_level': 4056, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '156.83', 'twisting_conrey_index': 83, 'weight': 2}
  • id: 46607772
    {'conductor': 156, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 25, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007336727249208, 'target_is_minimal': True, 'target_label': '312.2.c.c.25.1', 'target_level': 312, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '156.155', 'twisting_conrey_index': 155, 'weight': 2}
  • id: 46607773
    {'conductor': 312, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 961, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525334864103872, 'target_is_minimal': False, 'target_label': '2496.2.c.h.961.2', 'target_level': 2496, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '312.77', 'twisting_conrey_index': 77, 'weight': 2}
  • id: 46607774
    {'conductor': 312, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1585, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491473744, 'source_is_minimal': False, 'source_label': '1872.2.c.i.1585.1', 'source_level': 1872, 'target_conrey_index': 961, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 137472510400, 'target_is_minimal': False, 'target_label': '2496.2.c.a.961.2', 'target_level': 2496, 'twist_class_label': '312.2.c.c.25.1', 'twist_class_level': 312, 'twisting_char_label': '312.155', 'twisting_conrey_index': 155, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2267750
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36028934491473744, 'p': 2}
  • id: 2267751
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36028934491473744, 'p': 3}
  • id: 2267752
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 36028934491473744, 'p': 5}
  • id: 2267753
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 36028934491473744, 'p': 7}
  • id: 2267754
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 36028934491473744, 'p': 11}
  • id: 2267755
    {'charpoly_factorization': [[[13, -6, 1], 1]], 'hecke_orbit_code': 36028934491473744, 'p': 13}
  • id: 2267756
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 36028934491473744, 'p': 17}
  • id: 2267757
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 36028934491473744, 'p': 19}
  • id: 2267758
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 36028934491473744, 'p': 23}
  • id: 2267759
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 36028934491473744, 'p': 29}
  • id: 2267760
    {'charpoly_factorization': [[[100, 0, 1], 1]], 'hecke_orbit_code': 36028934491473744, 'p': 31}
  • id: 2267761
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 36028934491473744, 'p': 37}
  • id: 2267762
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36028934491473744, 'p': 41}
  • id: 2267763
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 36028934491473744, 'p': 43}
  • id: 2267764
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 36028934491473744, 'p': 47}
  • id: 2267765
    {'charpoly_factorization': [[[-10, 1], 2]], 'hecke_orbit_code': 36028934491473744, 'p': 53}
  • id: 2267766
    {'charpoly_factorization': [[[196, 0, 1], 1]], 'hecke_orbit_code': 36028934491473744, 'p': 59}
  • id: 2267767
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 36028934491473744, 'p': 61}
  • id: 2267768
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 36028934491473744, 'p': 67}
  • id: 2267769
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 36028934491473744, 'p': 71}
  • id: 2267770
    {'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 36028934491473744, 'p': 73}
  • id: 2267771
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36028934491473744, 'p': 79}
  • id: 2267772
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 36028934491473744, 'p': 83}
  • id: 2267773
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36028934491473744, 'p': 89}
  • id: 2267774
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36028934491473744, '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': 3, 'hecke_orbit': 9, 'label': '1872.2.c.i', 'level': 1872, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHEgMF7+MqzgAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13vG1nfd+Jv5+y1tr1tHtur7oqVxUJJCHRezEEgw24hNhxXMeOJzPJJC5xPHH8i4NNknEb4wIGg21sMMZgTBGIJgkh1Lvuvbq9l1N336s8z/zxrLrPEWCH/GR7Zr/Y7HKO7tl7rc/6PJ/v51sewf93+7bdPvrJO5FSbH7s4Ilpm1i7bYOH70keONrjpc+ZE7de3Vq848GEbRuWNtx41Wn7yMHt1HzJ5g0DWs1EGHn5KtjzG7a9BGArsAIMhRDP9lf7B3vTz/YH+IdyO3TsHMAlxiSbLcIMhiF/+bG/4vJtZ9izdYma8jly6mPRsn3eLw37y/9ECxudPuezeU4QDUb0VmP/9OmFPzx5WiCS0Y+cnOqHZ88vsHUDnBiFTLUSbxQf+5vf+sD+X3ry1MfFb/ynH/2186eP/kUtfuSB/uoBZQlACKmkdx44Wm9te7YPyT+I2/9HDc9we+rQRayozXj26EsHy4+ihIxOL0//695IvkYKSxjFPPjgw7TqK1y2rcNKT3HyQh3MmDiKmW1bDpz0ueaShLMXJbNTMe1mwOGzmsREzLcEZxYjrt1rePqkZG7K4Ps+tZrm6EXJSh+u2BRz+a5Z9l31HCweWsEg1J/ff3T064lNvFe8+Fou27P9Dux4RchNz/Yh+3t5+/8Ant5WVhaw8LpWc3zp0WM9859+6yPmHa+buqQ/3vRz/e5hmjWfYyfP0e0uEkaa5YEksT41z9IOLBe6MU+fHbFtrsZ0XaFExPyUz+U7FYMRCDnm9EXNKIQziwKFz3AccelOy+bZPhJJsxGyZWOPA8fnWFqp06wlBDpiMDJ0+oowjpmZnafZ2obSY665/BIeObD4q7dcce7ojst/UIZiWm7bqA8Dt021Nzzbh/Tvxe3/9QB/6rG7kEK8dGk1fO3jhxffdtUlF/eN+z5/+LGD3HrtCgsXPU4sDNi+QdEIYH7acHo5QEmLFIatMwknLtRoNiwPHB4zGAtqPiyuwiXzmkY9YPN8zEuv7fLk0Ske2C946kTMC65J2LbB0GwKdm5eYWFFUQtgOLY8dGADrbrkyAWfLbMjpABfJZxbUkw1YyQJ2zZFLCy2GFrDy69vcmL5amqthBc/Z/rA+eWNHw1j+TkhuON1r3nZs32In9Xb/+sA3ut1qNeC2XPnF/7LH/zx5/ynTz6V/Pibas9bXpm68c8+c57NG4/zyuubfOH+aYZmldc8T3PXIzX27hjSH3qcXVaMI0GgY67akbBpdsxST/LIkSmiWHD5thEXeorr9g55+phHd6QJx3DzVX0OnmrQrofsP6255QpJGI3pjjSPHJfcsDuh0/O4dHtIGEkeOypY7NXYMgP7dvbwtSSM4NyyR28cc9lWj688YnnljX3Gw2k+8/UBL7txlev37uC+p7exOBw88L2vWHxw8/z1asPO14eN1ty/T+JweXZm6tk+Bf9/vf2jDzKPHD2O72nx0U/excufP1ZieNu7Dx/VV9z30LkXnzpxWp270OXQiVNsbrXZNtfk4cMbeOkNyzxv3xS33dfi/sMDdm+xnL2o2brRMjhjiaxlHHmcWpBsmhsjhOXy7WOeOqoJ/CF7t/icX/CYaQtuuSri0UOGx460GUQ9dm0OeY43xZlFeOTpOlfsitm5AY5cENSDCITi6dMaS4S0ITvmLa06KBHiKY/OEHZsVBw/K7hxX4+ZRpPPPy5oT0W84Jo2Dz4Jdz14hB07ejfaUN+4/8Axzn79rxK/teOq1Tg4+J4PffinXnIVyfyOl2JNbDdu3vlsn6L/qbd/lABfXTmLkkqOht3aX/zJfxq/5s2/8G+TJPmBX/zdY9Ev/NODV9bEdK2/EtDyYTSQPPQ0/MCr+1x7aYuzSzVufyDgu1+8yvV75/jiwz6X7hiwebrF8bMxN+8LOXDKZ7oZAZInjjfYOmtYWtHc/WTC3Yfgul2Wq3ZIlnuCu56SvOKaiOmmYqXX4tQ5zWrXoryQH3z9CifOt1ntCZ57xYjrLl3AY4bzi/OcWoCrdhuGoeTY+YCZhmb/ackVO6DXk1yxa5E9W2t88X6f40tD3vpSw4XFGfYfh8444YZLQ4Spc+DogCePHFCHLh59WWtmcMv/9ZONmxPzPG88Hv/xm7//5/7bE08eCmZmp0ZxHJvdO//xOTP/qCRKnBiEFNLGK9Pd5cO3DkfyPU8/fTS+5/5Dc488da79+ImYmflF/sP3jbHJNh59us4jT0c8fX7Ia1/Q4UVXNnn04DR3PBYyPdfnu14oefxAi7ueGHLl3pjts3WwQ4QWeFJz+JxmYzuhM7a0amNOXEx48lRCS83wmpv6rKy2uPcpyzV7BJftTEhiwckFjyQxXLZdcPUlEfc+KVjuD3j1jZJ68ywHj7c4fm6GRiDoDTw2TMUcOefj6zFKKqzR7Ni8zNW7FHc+PMMDRyPe/NIOm5rT3PlQjYePDbjl+hXecJPP4RPzPHLQ8OiRiIHs8wv/7CLbpjdy8MQGVoabuq2ZPUt7LrlUj4z6seuu3nvPlrnWKlgjhHy2T+W37faPhsHPnV/i7Lml3V99+Pj2S7YmH91R+9TU8RPd5vFjEI00rTpsmbY8dnyGr+4/z3fdusKOjqbT13SHAR/9YpO5VpfrLteMwiZffcLy8bsHvPXFHWq1Fg8d8tg612eu7XPqgqY7TBgMhjQ3eURGM9tUbJ2RvOSaIQ8fitFSEPgxQSPmgaOKZstj+4aQcQzb5uCGKxboDDTjeIbIaB4/Lnn06V0EqkbgJ+jpMcMxTLWH7AG6fZ9TFxPmpgfMT7X43L0+j58MecvL+myfbnP3ozUeOzbiqr0rfP/LE54+PsOR04LTF2POdRLe+LIu1+yss/9ok4UVwYmz59snzh1vr4zvo7l5+1/8xs8MOrEXvy3RV54eD5eOB/W5Z/uUfltu/+ABbq0FuOK2z39la2K937/jawcu+6Wv36Xe93+cYkNrE0vTc/RHmsFIMxwbuiP44Odm2Tq3xK2XawajDYwjj2HY4N6nQsJohesuh8BvcN8Bxcfu7HDN7lVefF2TQ6faLKyOqPsx8zOGy7cpzi0pljuSbi+hVR8T+B7b50OOnffQcshbXqh58KDHlbtWmZ7u8umHGnSHARummjz0tM9Vl/SYm/I4flGwbd6jVouYqSV4WiKl4IH9s0w1B9T9MZfuUPiyzlcfszQaq7z1ZdDypvnS/T4HTg+5bt8yN+yFU2c3s/+ox/GzEU+ettx47Qo/9OqI0xe2cH6pxuIKLHdiOgN46syQqd69ze7JzzUXhq+7I/HloW7P/oS19ixw8B96FvUfLMC7q8sorS87eOCJ56yu9v+3o0ePvvQrX3uSx4/2WBrV+P2/afHvvqfD1vkaw7FiOPYZjT2GY0v/bJ1P39vkBVcvccMVCpjBWo9HDs/wRwf7vPUVXW69MmLDdJMH9s/w+XtHbNkwYt8uwcYpzZGzHoNRRH8Anb5Aa8u2DQkoiZQhw4Hk3EoNTJ2NUyGXbhtw92MBY2K+60URSdjg8GnJ/Ixm25zAmJiFFU13NGYY+fT6Pjs2jJlrj1BKorUgijRHTsP8zIBbrovZOqN5+sQUXz0AZ5d73Hhdj+97WcKps5t5+GDAwRMxDx9NiESPN948YjTcwOkLDc4vSRZWIpY6MaeXJao24l991woNz+f44QfVYu/sPr91zZf7Y/8Oz6v95srK6qNxHB+an/+H6aurZ/sD/F1uSwsn8QNv95mTB/+vY0cO/Me77r5n94GDRxiPQ5SUjMeKJ054bN/U5YVXR0SRT5RojFVYK9AYTp73Ob5o2L2ly+YZaAQ1ap5GoXnkiOL86oh2O+TqPYYrtgf0+jVOLwh8HRFZxdkVj7MLhm4o0FqzaTrmworh+DmfmZZEoNk4G7Hcs1y7e4SUDc4tNbh8W8DTJwJOLVqu2j3mwrIkij2GoeKKHRFCWHoDyabpmPnZMRtnQzwJnYEiCODy7YKVlRZffLDOobMjZmc7vPx5Q265IuDIyY08ctDnyaMxRxdCWtMdfvh1fa7eNcWJc9OcPO9xdiHhwlLEySXB0wuWN7/oAj/y+ph+f5YLy1NcWLQcOnKO/QeO7+71o+8Nw2TXxk0b7/nJn/zp1d/8zV9/tk/93/r2D2r9GfcPoHR9ftA9/b+dPvbQtecvDt9y8OmTLHd9Vrqw1IlYXI25sGI5tiKY29Dh579nkedf3uTY2TlOnm9w+qLi7MWEk+cjji4YdKPPW1/c5403+5w8P8f+YwGHTxv2n4xI5IgdG0NecK1h10bJyfNNTl2QLHcNo9ggJcy0YH4qZrmr6fYVM+0QLTQz7YRaEHHv/oBLNhvmZ2LOLdbxlOHMkmHjjOWSLSFf3x/g+4q5FigVsaEJK33BUl+wsW2YbUdICeNQsdzVnLigObkQs2vziFuvjdk+ryFpcOBYgyOnLU+dSDixNOZ1L1zhu188pq5mOH5uhuNnNWcvJpxdjDi5YHl6wXLT1Qv87Nu7bJqa4czCNBcWa1xc8VhchYvLYxaWRmzdsRe/PvPxF734psf3XrL9NweD4cIt1+15tqHwLd/+wTC4XX03Sp5sm8Ejv9tduPd/WV08cVVvdQmEh0WRGIm1AmsMAou0cPx8jQcOCy7b3uGqXQbwAIWUGq0kgbJcXPQ4cFoxMkP27eqyd5thfkazecbHFwFLnYBT5wXHzgkeOw7Hz4UsrIzp9BJGkUfN95lvWbZtjBAiYTjW7N4c4SlLZARR4rPUlQzHHr4WCGuYnzZsmEpY7gZ0h4JR7LEyEGyeMix1DCcvKGqez+ZZ2D4fsmluxMa5MZvnxmzfZNm5WXHlDo+6anLsZJuvP+Hz0NMxj52ISFSPN7yow1teYKmrOZ4+Mc2xs5ozFxPOp+A+vGi58eoFfvEdK+zYMMXZi9NcXKmx1PFY7khWegm9fkJ/JHj6+CKHTnWufPTQxRcfO31h9/GzFz93y6veGt79+Y8+25D4lm5/rxl8eaVDGFqU4p1fffjoC37+Nz8m3/aCQy/4N285oxdWNrHcabPUabDU8VnqaJY6sNxJWO5ELK0mnF+FI0uC+Q2r/KcfWOKmyxucujDL2YtNzi5qLixZzi/GnF5IuNiLmZ4d8cJr+zx/H/iyTqACLizXOLeoOb8sGIwhjg0139CsJcxMxRjgxPmYbh92bfJo1sdYK0D49IeGnZvHLK1qsE6KrPZhHIPFstwJ2bbRozdUCGURZky75rFzy4jVgeDEWU1iNHNtSasmCDyIY8FgLDm/LDm3ZLmwEhMEI/BibrmqzwuuFsy36yyttDl1IeDsIlxYjLmwHHNmGY4sWZ531SK//AMrbJ5uc/L8LOeX6iys+Cx2JMurCSvdiJVuwnLPsNiTnOrC6nKXX/83Yfz9r659zd/w48ZvXPk1ifn5BI+g1n62ofKMt7+3DP7+P/5LXnDLc/m3//bf/sqHPvblf/PeP/vipftPdHYfPjuQL7ymzyVbExKjsVZhrWNvrAQkIBDCooXFl3B2qc59hyXX7l1m344RjRp4WuJ7Ct/XNOuShicZ9D0OHq/xhYd8Tlwc040jDp4as2lumTe+cIVrL+3xvH0dji/GLA4EjWDE0bOWTrfJNZdIVkcJ+48rWg3Nkyfgsq2WUZgwSny0jphpwYFTAUoneDJGezAcS27aN2A4kFx7aUJ3mHDibIs9mxXNRsjq2LJxesBKv8tHvgyPHEt47NiIXVuXuO6KLjOzIa+/pcd3v8Syd3OLJJrm2Jkpjpz2OHXecPpixOmLCUcuCk6uRjzn8gX+0w/02DQ9zanzs1xYarCw6rPUkax0Ejq9iNV+wkrfstwXXBgoVroxN+5b5KfedFHWtdh98fyJPcNhfHPQvqReb8x88eF7P8HvvefPn23IrHv7e8ngH/7wX/GcK3eor9x78P88dvL8Lzz4+Al1fjlkaaQ4O7Bcu+sCv/4TC1y/t8GFpRmWOg2WOzWWOx7LXc1KD1Y6CSvdmOVezGIHTq0IdH3ErVcv8z0vCdmzsclqv83F5ToLyz6LHcFyx0mElZ6hOzR0x5bBKGauHbFzkwEEgWc5fdFDyIBdGxV7tlq2bhxwYWXMo4daPPcyS6O+whOHZ2k1Q8LQY27GMBzBlTtHfOjL01yxI2Y8tmyYkkTJkFYt4MnjI+pek+svj3nsaMiFJZ9tcwF7tsDOzSFKRZxeBN+zCGHZtSlmpiXpDQP6A4/uwGO5q1hehaWOYbmTsNhJON+BpVHCzm19vueli9y6T1Pz2pxbbLO4UmNxVbPcFax0DKu9iJVewmrfstSH8z3FhdWYm644z7t+YonLtjVZ6rRZ6dbojdro2qVJ0Nj8Kz172S/XOJ28+GXf+WxDZ83t7xXADz79NPVarX7mzOmdDz/y5NuPnTjznw8eOs0wkvRHsDp0jHK2F/O8S87z339imesuqXNxZYal1QYr3RrLXY+VrmalC52eYbUXs9KLWe5aLnQEZ/sWRJ+3vKjD628yXLKlRhg2WOnUWO37dHqKlb6gNxCMxpYwtiQJKGkJPKgHlum2ZeNshPZGHDkX8vjhABM3ee3NIdpb5cH9U+zeAp+9L+ZF1wRc7AypaUWcRMzOQBx5aC9maanBC2/o8tl7WuzZAg8cGuPR4DU3GWIx5PEjCcdO19DSZ9OMZqYpqAcC3xcoAbGBMLKMQugNLKt9Q29gWB0YlvqWYZKwa/uA1z+/w1teEIJpsbQ6xcXlutPbXc1KB1Z7CZ1+zGoK7uUBnOsqFroJz7v8Au/6iYtctavOwso0q70GnX5At+/R6Qn8xnZqzU3/Ycv2K/9i+/ZtJ0ej0fCyyy5/tqGU3/7eAPzEscPMz8/7hw4f/qGnDx169wMPPiKWlvtyNDb0R4beyNIbwupQcnEoOdeLuOnSi/zajy5xw6U1FlenWVptstINWO35rPQ0qz1Bp2fp9BNWezGdvmGlb7nYE5zrGGamB7zqeT1u2Reza5OiXffo9moEngQUYSwxRmAsDEaAMMy0Rhw6YzE25PYHmowHdS7d5nPrtQMis8qdD01z/WUeh8736ay0ef61A774YMCmWcv+E5Z/+eYu+48HbJqVfOEhxa1XKpYHXY6emuX6y0PufHxIPG5wy1U+e3eMGMZ9Pv+ggkRw5LSm3dBoAYOhxFhBYixRDEiD9g2dvqXZitixZcwLrhzwqufGzDVrXFieYmm1zkrXHZuVrqDTh04vptOP6fQTOgPL8kByvidY7MXcfMUCv/KjC1y3p8bC6hSrvQbdfkB34NEbaHoDRW8oiEzN7L3sWrt7z96f2nPJpX+0tLgQ7rvi7wfI/14API4jGY6Hb7z/67dd2u/H77rvgQe90RhGoWU4ShiMEvojQ39k6Q0FnaHg4lBythNzy5UXeeePLvDcvT6r3SkWVlp0+jVWez6rfU2np+gMoNe3dAcx3X5Cf2joDCwLfcFCH6JkzHWXDdk8m9AfWF73/DG7NxviRKKlJYzgjkdrnLxYY8tMzBNHamAa7NuuuOEKQ1Ab8OChAQuLTa7e3aQ9vcI9j3nceFmNpcEqKyttNm+23Ldf8U9f3uf+/ZrtGz0W+x1Wlme54coB9zyRMFuf5upL+1zsdLjvqWnqusnzrrBcvnMEss+jxwQbZyMuLETc+ajHKFJICYmx7N4S8qrnh/T6iq0zhhsugzBssNxpsNwJWO17dAeKTl/S7UN3kNDtJ/QGCd2BYXVgWR5KznQFneGYWy9f4Jd/ZIXnXeYujk6vTncQ0Bt49Iaa7kDRH0kGQ0FvkDAYxjznhudF1uqfeet3v/Fws1H/lOd55tnG1rOeyRyPBkTh8AdOHXvg1xfOPT174eIKrbpESRco4v6X3pwFKIRFSouUmvuf3sTP/6Hmzbcu870vX2bPtpDzS20Cv0498GkEHs26pleXtIYeU03tLphhwqaxYTi29EYByws1Tp+yhLHhzPmYILCAwFcWLQWDoULgEQ80z9kt2LvVsnPbgHHS47b7FQcOz/Dq5wbccOUKH7zN4osGu7cNeOwexbZpxYb2gJqqE0YeF3vQrGm2bxI8ciDkhsvrvOT6RT7w6SG+1+KVN1u8YMCX7gv57L1NnjpW55KtDXZvSZifCdmzIeKa3QlKGbSygKURBMxPB4SRR2/g88Qhz5UoDB0Q+0Pojyz9gfvuvWFCf2jpDi2rQ1gYKC6sWBpTHX76tQt8561jrrukybnFNp1+jV4ObkV/qBiMJMORYDh2BBDGcNfd93vt9uyvz2/ctPyyF9/8r3v9wQdazcaziq9nFeBR2AfBj5w9fs87jx340mw47FMPfGzqhFgEoEC4pUYIkMJ10ihpUTLBl5LHDs3z8NNNDp29yJtf0OcFV42YbrVZ7jRodmu0hz79gXYnZyQZjjSDsWY0toxCQxhZosgSJ+4exj7WgFQCTwtqvmC6JZhpweYNhu2bBmyY6fC5B+Guhz2kmeLVz/V4zr4edz8VEY7a3PocQWc45OJSk1suN2yYHlDXAaNYsdCNUEbwnMs1jdaYhw7WePENUzz/uh4PHVRgp3juVT4//IZlvvhIyBfub7L/ZI2d84rNs3VmWg2mWlAPwNMWJcFY2H9MkCSCKBaEMYwj3HccJwzHhtHYMBgZBmNDfwjdMSz0JRd7MDYjXnH9Mm98QYfvf6UhjtucX2zS7dfoDX36Q4/+UNEbKgYjwSAF93BkGI4TxqFhODZcXDrH2b/43Gx/ZP7rd77+xbrbG/xhu/XsgfxZA3g4XkKI5IcXTt/5zgsnvrhRmD7NRoAcu1VNAAiJQCCEQgiBlKTgBqUsWlk8Zah7gsVBnQ9/eTtferjLi65Z5R2vWOWaPX3mphssrTboDQMGQy8FtnL3UDCOJFEsiGO31Nt0uVDSojXUfGjUDbOtiG0bB8T0OXQm4iN31jh6qsl0UOfGqzS3XNvlvqc73P71NjdfVmPnlgEf+rJAiYB2K2K1P8ZYUALm2wO6PR8T13njiy7y4c822HuhxutvHhBGS9z5+BxRUuOmqzby+hu7XLajw5ceGvDYqQaPHvPZPiuZbQsagcD33EUoBQhhMRaMsURxerFGlnHkLuRRCMMQeiPByliw3AOhR1x/xSrveNUqL7oqYa5dZ6XboNOr0xsE9Ece/WGxEgzGkuEIBumFMxolDEPDaGwZhxBbxdkLHT7w4S9sHIztO7/rDS+0Zy8sv2/rptn/dwDcrvwnLqxcxXDx4z8YjYfv6l54coOmR7MeIGSc8rZGCIdyISRCCISQKKmRMkEpkS7PBk9ZAm2pa8HKSLHUmeGjdzS594k+t163yjteucr1ezvMJXXiOGAwqtEfegzHmjBSRLEkTiSJERgrXBZUWALf0KjFBH6I7405szTm0w9IDp/2OXZ6BmUC9m7xuXKP4rn7uqhggcePtNg23eDqS2Dz/ArL3TbXbJPExvK5+wPGA8l0M+Y1N4341J0RJ8+3uOJSj3OrI5486rFj0wzX7Vng7sd63POkYBz67Nszy74dAfu29zhybpnDZ+D+Aw0OHW3S0IJAS5qBpeaBlI4YrHUXa5w46RAmgv5Y0B0JuhGEJsbYEc+7rMs7XtXlRdckbJkNGI2mWOrU6PUD+iOfwVDTHykGI8VwLBiOJMOx6xsdjRPn8Y8duIehYRQ6RydMFAvnOvzBn39l40OHLr6r1W7G//kPPvfBR588zEd+4yf/8QL8//i198H0v0d3/uX3e/HR3xp1L0x7IqBRryHSsyOFRQhS1saxtRQoJdBKpY8GrRI8LfC1wfcsgWdp+AnTNUFv7LHSneFjd7X58qMjNs0MePtLO+zbMWI07HP1HsuOzYpx5JEkRZpfYJHS4OmEExcsx84LVoeGT97d4MziDDb0mKkpts5pdm3WXLINrt7bxchF3vOpJsvLU9y8T3P13g5felQgYo+NM5JmI2YQ+UgrwUqU9umMBBeWBVfZBi99bo+vPVRn6wafm6+e5V+8YZE/+myP+w826Y88llZb7Nla54otA266vMd3vbjH2eVlPnl3wNIg4MQ5jzNnfDwlkNKtesZaEgORsSSxYWYu4tqrBozHEft2jHnrS8dsnFLMtgKiqMa5hRqDoc9g7Fa5YQ5s6cA9FrjA36TgNozDxEmgyKYgh2EkGISCYaI5c6bHY3/1tQ1X7579reffsDn6yG+IP7tw7NfZtOdf/+MD+I//0vuY2XmdeMe/++W3bZt66r3f+6IDjWsu8VMwy/SxALgUFimdVJBSoqREK4FW6aMWeDrB1wLfM9Q8Sz2yNELLVC1hpi4YhJJe2OTY6Sa/9mezYGJEHPPcawfs2RwSx2CswVqXxJFCIJVAez4HT/rsP1yjWdO0fMmGhmB+TrJxVrN1XrFrS8IVu1ZJxBK//fE2J05Oc/PlHvt2JwzjHl9/PGC67jE3ZZluhTTqTgoZI+mMFMt9y1InodOv88KrV3lg/4ADJxXT7Ro3XTXNj75xid/5BDx0uEl/aFntaS4st9m8ocHGmRG75kb827cNaDc6PHYMDp6SeJ5FKYsQhiw6txbiGHZvTrj1mpgk8ojiAGsbjEKP84s+w7Fb0UahyuXbMBSMxoJR6Fh7HLqs7HhsGIeGUWTS92zO3MNIMIwEvVCwEgl6sSEZDIkGp6ffdPPie397YXusNtz40fDif7X+xn/3jwfg//pXP8Le7VvUA48//pZDR89+8EMPnKk9tn+KX/vJLvt29JHSnRQhDFIESGlR0kMpi5IKpVSqtyWedprT9xRjTzIODUGYMI4s9cgwjgxhaGnHMI4M4xjCWDCKJOMkIEpqHDjc5NEDkFiLg7bTxp4EX7maj1YAV2+Bdh2mmpKZlmJuWrNxFnZuHrNlfpXILvPbH5/iyNEpbrhEccl2yd7tK3zlyZgLS1M8d49kpm2o+UMCGWCVIE4kwlriJGSlX+PCkscN++o85/Iedz9UY9OMoFFrccPlhp9+yxK/9QnDk2darPYNqz3Fwopmw3STmXadmfYU7UbEfDNi1w0hgRfj6RilEqRwwYTFXVRRpLi4oIliRRQrwkgxjtLHUDKOJONQMgol41C4ADUUjEPLOHTHdRwmhGGq6SP3/iiEUSQYRTDIwS3phzFmNOA5u1d4508u8prrzjTG/fiD8cA3/eTajy8e/4Nkw+4f/4cP8F/8bx9mquGrw0ePv/X4iYUPPHjgQo3WDLfd5+NpyS//6CpX7uihZIJUxoFbeShl3KO0eMriaYWnLV4o8T3hToInGPuKMHJAjyJLGCfOFYlL9wTixJIkhsTg9LYhB3cmhbQEz4NAC2qBoBFImg3FVEMyMyXYOBuza/OAVnOVj38t5M7HZ1ldbHPtTsWuLR6X7RiRiFU+d3+DpqeZn1G0GiMePwJPHdVcs8MyGCuuuyzi2r2W8+cSFlZ8hqMGr72xx1cfG3LojKJZlwR+m2suMfzyDy5xx5NDPnXHBpa6ll0bE1Y6mum2Yqrp0Wp4NOuWWmAIfEOgE7RyUkumrZXW4hJWRhAbSZwI4lgQxZIwFkSRZBw55yWMBGFkCUMYRwlhZAhLxDGOyncH7mEK7m4k6UQwGEfIqM8Nu1f4pR9b5nU3GfqDKQajUzXrzfyJ8I/+80ht+Mtzh96fbLnsX/zDBnhDG9nrdb73+LEzv7f/wMnadEPTiTWRUPzNPZJwrHjry7q87RV9ZtoJPWnQMkl1ttPDntZ4kSbQipHnmGbsSUJfEEbCnZxIEcUQRtI5CHFh+8WJIUmcu5DY1ClJ3ZLMnVHSyR5fCwJfUgskzbqg3bBMtwybZsfMz/SI7Sof/arkjz47x8ZajWt3CnZu8di91bBrywof/7plebnGvs2KmTa0GhEXjksurgT4e2AcCeanJNPTcOiYZaVrOL9Y47LdNV7+3B6fvqvGXAsC30fJaa7ZK/ix11/Ekxf5m7tneOpMjU3diI3TMVNNRauuaNQl9UAT+BB4oLVzmKQAKUogx13YiYEkEcQJKdAhSixhDFGUOFKIDGH2GJnUdsxcmdSCjJ0k6UeCbizpRYZwFDIVdPme1y7xtpf2eeUN0O23GI4DxmHAuHespmrBe4Vf1wjvz3E88w8T4L/7vk+QJOYHH3/q6H8/cuRUe6ahGMUWKQRd4TEWLT53v+brT9Y4t7LEv/yuATPtmHFQozuooZWPpz087eGHCaGn8UMnTcLIpdId4wjHRCkrxTFECSSJcxKMcQGXMTbr4UzB7QDuAleBpx1AagE0aoZWPWa6FTM/PWTDzCpfOxDyJ7fXOXhsmt1THns3w/bNPts3wRU7uwziLvftb1NXHvMziukWTLfGzEzF+L5GCHdxDcc+y92I1YGl04+5uOKzc3OL5++7yO33Dzh4pk0jiPCUjxBT7N2m+GevXOR5V1zkT25vcd8T0yz1NRvbMdONmEZNUq8pAk8QeBLPc7GKUqT2oUO5xfWwGkMO9Dgx6eqWWouxIU4cuOMIwtgW9zShM4odqQwiQTcW9GIYjWJMPGSu3uWnvnuZ/+P7+jQCn06v7oAd+owjjzDyGPVOt/2G99vT89f4R5/6+B9dctVb/uEBfGWlg1LqR37vfR9758mTp+cagUAnFiWc3tUpyIdSsjrW/Pe/8Nh/ZIU3vrjPS6/vsWlDSK9bZzgO8L2YwPcYh5rAd/ZeBvAokoSxW3ajOPW0E1Lrj5S5JcZSgNslKVPmBq1cwsT3LDXfUK/FtGoxM+0xWzZ0udAZ8O5PenzugVmWV5pcOi/YuVGwbaPP9o2CPVtHaH+VD9+pOXqqyeWbJDMtyVQzQcoxZxYsgZZIAdYKwkiza2OX+0noDhQrXcuF5TqXb6/xXS/t8Jdf8jl+IcDTEUJ4GNskiiXP3bPCru/r8rmHBnzoc7M8eLzJthnBhmZCs5ZQ8wWBJ/A9F6tohQucpchrMizuIjMW57QkDvAZyOPESToHdggTV+sSZsmjWDCMoRdLejEMQ0MyGLN9Q4+X3LDCm1484HU3GrRosLJaYxwFhKEDdhhpwlT/DxbPzuna3ndd/pzvUsNh9w/r9f85NeX/UwC+vNLB871/8Znb7nznI489uTHwLEoJZOyWTZeFFHhS0JeSnqzRCTUf/kqNOx7rccO+Lt/3ygGvv7nD3HTAcBQwHPsEnkcYuwOVBUpxrIgSSRxLokQQx5IkESRGFFrbCHJVYjO3xiWLVJos8j1D4CfUg5hWfcyG6T7DaMiXHrd85CtT3PfENDO+xzXbLFtmJZvmfLbOS7ZvCrlk2wqPHR/yya/OM6U081OCdlPQbkR0Bgmf/XqNlu/cIWNhONa88dYxn7nX1cR0+oaLK5rtG1u8+QV97jvQY/8hn2YQpyULHsY0GIVO6/+zl3e4fMtFPnxHl3uemubkSp3NbcFUzdLwDTVt8D3QSqAkaYLMfe+s/MikUs2YYoWLU6A7goAoEURJCuxEMIoFg1jQT3AxTxjSrA9486uX+d5Xdnnu5QmbZjyGoybdvk8Y+YzD4pyFkQt2HUEJTp88sNGv3/POPVe8yAz63fc3mt9+kH9bAb68ssqg10cKfuBLX77rv332c1+c66yuEvgKlaTgFi61LAVoAb6EQEJPegw8xeluwNl7G9z7eJ+/vLbHW18+5DW3jpid9gnHAePYsUEUa6IU6HGiiJM0YZMUADc2ZW5T1JSJ1IZU0tVxaG3wvYTAj6gHIa36kIQhX3xI8mdfnuaJY1OIKGD3jGXLtGXDtGJ+1mfzBsnW+Yidm7ucWujx+59qEo/rbN8umG5p2k1oNyKEF9IdNpluWYQQWAtRLJkNFLGJ6UU+vUHCSldxZqHOVZe0+PF/ssq7/jzgxEITraL0wtDEcY1RKNk8F/DcS7tce0mfJ0+c4SNfqXP7g9Oc7dRpBoqWD03P4muLp0BLd8yFqFbXGcAad9ElRpBYiBPh/PNEECYuSTRMBMMEhrEljmNMNGauNuS1r1jl7a/o8aJrIqbqHmHUZKUTMI58olinrK3S54owVsWKG0vGgw6PPXzHxlEk/9tl+26MFxfO/nG93qTR/PbNT/y2Anw4HNJsNd90z70P/M5nP/fF9qDfpVHTRInNl8nM35bCHXiduGImXxnqiWCgfAax5uK4xt/c2+TOJwbc9IU+/+t397hyZ5eN04p2QxNGPmHsEccFyJMM4EZirMRaJwlsHlCmqX5lXRCrYwI/xlMh3WHEQjfiNz9e49jFGR7aP401PnN1wcYNlg1Tgrm2Ym7aY9OcZPNczLb5AXPTK3zuYcODT01z7XbBTEvSakjaDUOzHiK8MUGg0cr9fWshSSTDsWY4ioiNoDc09PqW5a7H+aU2t1zR5/lXrfLhL9SoLyu0jBwgrSZOfMLI9XhumK7xvL19nndpn/tfcpYTC5I/uX2ai6sNTi8F+ErS9AR+JsOkI5mcyDOpgmPy2ApiA5ERjBMYxRAaC0kMcYRUY7bODLl2lzsfN16Z0K5r4rhJp+eAHafAdiusTmVjAe4okemji5l6gy6PPPCVOSH071x6+fUr49Hwk99OTH7bAH706GG2btmsPvRnH7n0qf0H2/1el1qgiZMimlfCEiUCFVtX65GATgSesvixpZYIGkowVIKBDhgmHkthndsfnOJrTw1pBmP++es6bJ+L2b11yC1X99DCtYgJ4eSKy0q6WmlrS8yNRUiLEs4zt8QgY548JnnggObT97V48mSLMG7Q0or5umW2aZlpWOeDtzWzU5q5acHm2Zit80O2zK9w5xNj3vPpjWyZ1sy3od1UtJuCViOmHoz52tOKUajxmg5U1grCWFLTiusvH3Lv49Ou8GmYsNr1WFwNuLA4w4+//gKnF5e495F5PAmICAM5gMahpD/UzLRqTLebPP/yAS+5dsD3vWyBA6cMn7mvxn0H6jx9tEksNOOxYhApVF76UA4805yANcTGYo3BEwlTfkiNiOff0GfPlhHbN0S84zVj6r6kWfcIwwadnp+upDolHJV77e4u195zm1IQG0F/tcsD99/dPnv2/KWv/Y63qsOHDyeXXnrp3x+AP/XUU7Ta0/4DDzzwQ9jkv/e7K9RrHomxRYZSOhaX0jG2inESIbHoGDwp8IwlSCw1JWgkgrGBUeIxTDwGSY1eL+G/fXgGG0dsmh9x1c4Rc1Mxb335kJ0bQ6JIpHpbQom5yT+DQUjBx+6o89iRJkJrTpxtcOZCg1pdMRUIppuWds3QrkGrLphqKNotxUxLMzcNG6ZjNs2N2LaxS2JX+dhX2wz7TS7bbmk3FK2GpFU3tGoxnhfyuXtrjAcSb6PrFs0kSrOueO1NQ+562NAfS/rDhO5As9rTnF9qcOWeFm99UZeHnmxwYrmFkgaIUr3sESWKceQSM/2RptP3adUbNOtjrtw+4uYrRpy62OH4uVW0l/DoUc1ffqWBUK5wjcn5g9YABqwlChN2bYp5+8uHbGgnXLHLsmkOkthjHLaIY4+VrkccKaJEp3GQA3QGcBcTybTWp2wAFEZAFIvUrtScP7/MzIbovz/26IODnTt3/dGhp/eHl11+5d8PgF84f5rO6uLlJ0+efvd9998nlVIEyJS9HVvH0qbghjhNwcdGoGOnE6PE4iVOAwbaUksscSIIjSVMBGMjGSeS0HhEBhb6bb7ymMGS8Nf3uZENWJPesyxeapGJrCJRIpUijjTSaDwtaQWwZ97S9AyNwNAIoBEImnVJq+7k0FRLMtOGuamY+ZkxW+d7JKzwm39V4+7HN7J3DmYaKXs3JK16TKMe0mwMqdcbBEqiZKrBcXIgijxGQ8FwnNAbK9e1NDSuZa7pc/rCFC+8asxPv+0Cv/6XmpOrAUIYrI0wiSWKPcJIMhq7MtbWUNOs+TTqNRpBg1oQ0aqHPPeyEN+LuPGymHe8YoBWcZoEMq7evizKU0lnjEQISeApwGc01iytaFe3k2QxT3qPZREDpYVrGbgzYGeJpTgNWovX7ny7gNby6MMPSmvlu1c7/a+G4/ET3w5s/g8D/G8++dckRtePHD78lpMnDotm3XOtVNKkrF2AWymXgJHKohJQidOGcQI6cb2PcRbRJ2lUn0X2RhSvjSA0kthKEqOJTECS2l7lW56lTG1JLcFTUKtbatpSUwmBB4GGmm+pB4K6L2nUJY2adgBvCqZbhtl2zNz0mI2zfbZuXOI9nzZ86PZN7JhWbGgZ2k1Fq6FoNqBRT2jVI84tGY6cC6j57oKGrNJPMAo1ezYbNm8Y0R35DEc2ZXHJak/TqtdoNaZ5xysucvTced77yW1oqbEYEpMQG0sUa8ahYhi6oqhBTdIYaeqBRz1I6PRcjOF7iUuYeQlaukYJKZO07seWGktcCacDuaBj0ipL4+KaJJEYI4lNEe84gGYBfva89JizdAZul2SKEkGSZPkKB/QwggcefFTs2zd8y2WXXXLk05/+6+Eb3vA/1sj8PwzwuRnP7/UWfm5l+eLPheFY1gKXaImlzAEupSWRlsSktdyJIEnlSWxAp18yyZIPxqavbf5e8byolHNersgDpbLmBlLtb9OA1qAlaU0LeErgaet8Yy2oBZKaL6kHinpN0apLWg3LVDNhuhUz2x6zYWbAzk1L3Pf0mA/fsZWZWsCmlqHdEA7cdUmzZmjWYlqNMfcdhEcPNLh03qa6t0ibD8eKG6+wXLZzyP1PTDMYu/a8/lCnIPdo1OrUa9N8z4uXefTpi9y7fzNYhTGJK4eNLXFk83qS4VjTGFnqNUXNNwS+R+AnBNqgdYKnXXZYKZMWsbkVFmERFHquCM5dCbHJHCmT2a8lKzYDtnEgLl6TAzu7OwJLH0v3JE3KJQmE4UieOXv+/1Re3a/XG78ChM8awIfDgQzD0S994bMf/tf97jk/8DWJSYGVCBIhSCoAd8BWaVIhURZt0ufGNdCahPx5kmXcbJZ5s5g0E5clK6y1lDLvlRU3C26zhI6SacZSUSractm/wFfUAkU9EDTqglbd0m4kTDVjpltj5qaGbJ1f4d6DQ37pA5s4eXqaSzYYphvQriuadUWzBs1aQr0W4XsjOiNXLOYpF39kt8RkWtSnXY8YxIZBWmc9GCX0BpJOXdHoBdSCFrs3R/zyD3X4jx+UfH3/JiwKYw1JYoiTmDA2hJFiFCqGgaQ+VtR8SeBbAl8RaIPnOb9fK5vW+aSraipThLDVBt00tW9TErFpLUuSAj4xxaMjI5k+igLg6fOkJEWy5Ju7AFLSSsspTGJJjOXo0VO+kLWf+dEf/mfecDj4D/V64++czv87A3w07GJt9CtPPXr3/7Z08WStHsiUeQVxmlxIpLtilRTEKgOyxUgH7iQFt8meG4ExNk8jm9yjBWuskz5pCWj5zgTAs8BWZOAWWU25k0Q6bUXztCTw3QCgWuBGMtQDS7NmaDUS2o2IqVbIbHvI1vlV7j0w4D/+0QYOnpxl16xzWFp1SbMhHXvXLY1aQqMWESUhf/qFFlIpPOkyuDmD22wJ9/hnr17h8w+G9MKAQQrw/lDR6ys6gabmBwRemyt2xPznH17iF/9IcM8TmzBWkhiXVo9iV2g2Dg3jmit3DQJBzRMEvsts+trmGVutjJOJsrBtc4AXKU8gJRFcLsG5LWkgnwE4nTpg8uQaKbuTr7jZ6lwA3JYebfUxMSRWcvjoidrnv3Dn//6617xCrK52f356+u+WBPo7A/zcmaNYa59//MjDdWtDN8/aWAfuhJS9QRnSR0EiBUmeHs7AnckP957JayWK9isHdOHqKDJQZwd+4nMVvZtpnYmkKKZK68gdwCWeJ139hi+oBW7mSSNIaNYduNvNkOn2kPnpDvcdGPBL75/lyRMb2D4jmGuWpElN06y5+pV6LaYehHjemDNLM3hKoKRJbbkiyEwSSRwrtsxY4jiiG9XSThnDcJTQG0nqA0XN9/C9Gp6eYt/2mP/8Lxb49++De5/aSGKkA3hiieIkZXLDODDUQsnIV7kE8zzwdOpcKelyATJ1twSI9HEdjDu5QpoUQuTJIZMmh7JscZKU3jeF5ExKwDamON85DiZAboxlNB5z9z0P1Pdesvv5UspvisdvK8DPH/sr5ucvNj7z2Xv9OFol8FyAFycgU0AnKtNWDujGZO85oBtjSTT5F6oCO5MhNge6zeRI9vwZPpsURRGVlCClyMGtpEwbJTJ5AjUPAt9Qr1nqgdPPjXpEuxEy3RyyYabDg4dG/OIfzvD4iXm2Tivmm4apuqBVkzRqikZdUK+5i8Ol+kPu3S/oj3xqivQicxo8a0JIjCCKNc2a4pare9z3ZJtB5GTKcJwwGCp6gSLwFb7np/p5mit3GH71Ry/ys38A9+zfSGQkkTFps3TRgzn2JYFvHHt7RR29VtmdVKYUMi5rNlkP5FlSyGYATwGf5M4L6668Jo2lTInEksSmP18P6NnvCy4urPInH/4b/6aXvL7xf//RZwc//UOv/58P8LNnTuI1d0wfPvJnv9/wuy8eeyGR0CTG6czKFSud5jalZcsxdnGVGyXWZ+0SoE0O7KIpmFR75ydDuEypkCm40yIjlQMcVFox6GnwPVwnkJ8WWAUJ9VRetOpjplpDZlpdHjk85hf/cIZHj29k87RmvmGYqkOzJmjWFY26opGzd0ItiGk1Rtz5qM9qp8bMTJEmzwBjUm0aJYqNc4pXPKfPnQ8Y10UTmhLIJTVPUvM0nvbRuo6Uhit3WN75oxf52T+w3HNwI5HRRGkFoCt7dUweRDKvLvS1ROu0CEsKlM6ODfnnyy7CTKqIrCqNIiE0eTelR2NKj/nKWwV3ubIzKb0u4q+C5cdRQrwwfPHFM8fe92/+l7f+xJtecWJ19+5d/3MBPh6cIR5f/Nnjx899b2d5Fa09hDR5MOE09sQSZUSqs7OrvLjiM/mR5DKEnL0rgeQkc6dIzzJyufaWWQVdobuzikGtcPUZ2uJ5rrG45htqfkK9FtOoRTRrY1qNEbNTHR56eszP/cEGHjm6iY3THhsbCVMNm4I7Ze+apB449q8FMY0gJDZjemGAUBIvY/Bcg4uUvVK/OPJo+iNXLhDWmMlAPkoY+I7BA1+6mnidbUBruWa35V0/cYF/93uGew5sIjKacSIIE5OyuKAWGQLP4nuud1WncYdWrkRYSZken7QrP3ssFWblF2Y51pkAd05CJWIqgzuPq2zxvPxeVqufs3pKkNZKuiuLnDt17Hu/es/DR8Iw+vf/Uxn8gcdPsmh27LLnfvdanxM06wJjTCoF3LCeLNBQxhZBSLrkZOBOSjXJ2Wg0mwWTtgjECqYospK2vGZmrF0OKrPlNu3QUWkwpXXaGZQWIWXVgzUvSXVzRL02ZqY9YKrZ4979MT//ng08fHQT81Oa+XrCVM3SSsFdrzk7MQN3PUio+THtZsj+45Y7HmriS4mnTBrEFR5FtnxHiSI2mpc+N+LSS/ocOVlnvkHR5zhOGIxSFtYKrb20EtN511fvgl/9sUX+/R8YvvrkPKOo7pJhsaWR1nAHHg7kOlu9TN7bKlWSr3BKihLARQnkrNErBchtFeB5hWKx8q63MhfsTpXBSzInSX8WG8Uj+8/QnLrv2v/4Mz+8yybHTwi1+9sP8HHvAn5zavd999/3G8tLq29qiC6BH1QtPln4pHngkdtLFpNkckSsWdIyf9jmnvaES7LGLUmZexLcwiJVZgumNS8qZW1t8bXB8wyBZwj8mJofUwtCGrUxs1MDVnoD7noCfvXPNvPY4Q1sSME9Xbe06oJmTeReuXNejGNv3wG8HowJk4TRsEZNuYtMClGp5MsSKS7Q1E7L6zHj0DKMRAngBt9P8D2N50k3VUB6OcARcN0ewa/+xAr/7c9j7jkwx9lOm1FTMp1YWrGllk4cCDybev+Zk2Jz9s6kSgbw/POmH7qM81whpiclW1ULcFclpavmLIG9AvTM+i1W86QEepMWfg37I0aD5Tc9+sh9yezGm/73pw9fOH75pZu+vQA/cORptFe/edx99C2MnkY1tWsSlsI5JKbsj9r8tSlbSUrkksSBWqRLW5awqUqRMsCzQ1xWhdlJcOMeMvYuuvGL4UCuLNbTJh0zkeTgDvwU3LN9FlaGvPNPG3zy6/Ms9meYn5LM11Jw15zubqSBZT2QNAKbMrjT3rUgBEK+/IjPSuQzF1Cpx0ZUV6gkcc0P7UDz8hsG3HswpBcFTOUd6wZ/7GrVfe0ArpVryBbSJWiwsG+H5Nf/1y6fuXfIr7x/E6cXZxhOa6Z9QSs2NGIIIjd62VduoJGXBZpS5EFw9lgO1MsXphB5r0h+fmBCQpaBXYqfTAn85TzGJMiTcoBqnC2plOIr9xxhx7b5t7z2Ff6fdnuj499WBu/2erSazcsefviL/6q/ch/bNyWMQokx1oHbClSSpnSzzFfG4GkGLAN0rrVzUGcSxBY21CRrl2VJeqAzZsnSzZkLoDKAK+vKcXXW2+n6O30vwfdian5E4Ee06kO0HnDnownv+2ybT9+9kdC02dgWbKg5WeIswMwnV+ldpMxdZu8Ircd87alpBqFmSyP7PJMMnq1urpS05imef+WQ2DiADyPhutazzvWxccGhTmfDpPZeNtzOItgwLfjel/VpBWd5/2eH3PXUHOejOoOapB1bmto6kOs0DlE2jUtsCvLsGIqidlyCpGDxyR0Fc6mSjahgUpuXu4eK2vOM0ZN1gtOkRICJJc97dAceX/r6Yzz/eXv/1c03veLhOOwd0n7rfxzgvdUThCt/Tbc/s3W+duAlcmYZJWv4XpyfJGUERkoSY1G2YG5jypKkYO+KHMm0NmkyoQLskvVQtq+EnZAmWVbOVQy60W4mrflOwa1cLUbgRfh+RM0LaTRG+P6AP7td82t/vJEjC7N4QY3NLcFskNAOLM0AmmmHfT1w2c5amhBy9StJuhI4ebLYTeiHPr5S+LJo7qD0VbILO6vdCGOPujdi8/SQ1UGLYSTScWsuVvC8JLX5VGp3qnTURjlwdZWPb3pRnxuvWuBX/2TEhz43z3LcZBB4ND1JW7sanECDr8ibIXSW9Mnn0Ig8C5wlgMqkUhUrZaBTWYGNrUrNQptP3NeYDeXstfPakZL7nxzxR5889pKHj9619eJS59DBQye54rKd/4MMbhNqM6/fPe4+8h4zeJRWA+IkQQiTMnb6aAzayEo619qqRLGmqG/Igsf8ICBKkkRMSJMM3LZgkzT7JssAlxaVFnkVzJ2kII/xtZMkgT8m8IYcvxDz3s80+cRX5zh6YYZ2w2O2BjNBQiuwaeo9A7dMwS3zpFAt1d6B7y6cdnPMx7+mOXSiTi2dwJW3i1GgPB/jYJ0Oj2LNvl3whht7vO+2OfoNTTudPRKEadygDFrLdGwdJZB7pXPlCGfnBsnP/9MB1+45zR98epaj56dYjusMPE1TCRop0H1p3YWTukz56pcd18w+xOnzItNp1/rkGTFlpRO5b77WUrRlENuqyZDLkxTsSZoziC0MYp/bvvo0L735yvd891tvfd2Fxd43lSrfEODWjoCA/tLd28Pew3vjaAWlNEJGrpE3kY6xcxkii+Kc8vNK8Q45+G2Zva2ojEq26QkjY+wM5KIAtnssCrqUNKlrkrF3gqdj17mjY4JgjK/H9JKQd3/U5/2f2cyZpWmMqjM7pZj1LVO+oZEydyNP38u0TiWVJql3noPbd9nLcRRy6HRAPwyYCVIXJ0s6Za5EloXNTlwiiSJNu6nZsz1EBSN6YYuhL6hHlnEGcJ2kiRrlfGyZlQCvF7wq5qcG/PibBrzlped5/2e6vPdjcywOmwx1jZpWNLSgrixBbB2bp32yWhblDVmWcw2Ts45cmXRYoBpLZTKkRGRlFs/jNJu5KCKXKLGByAoSIbm41OEL9xzcK3V9+9tff8PxM4uGbRueOdP5DQF+6sw5kO15QvlR2b/Ta9QMxkauY8ZIEinz+uGsB9JmcqTM4lmxjp0Adgr4grHFM2QobckOtDmwK/JEplVyKnEA1wlaJfheRM0P8b2Qzijka49J/uz2Nh/76hyjpIXv+8z5gmnf0PQtjcDS8Atw1wJJEEiCVJq4xFDqTKQA9z2X+Tx2znLXgw3CyCNo2jUBZnYr0tnu2IWRwvM0r7ixx4e/2Ofg6SbDmhvNMPYsfgxeZPBCg1LOjnUyQhbDfSiOZ2IksZE0As2m6SH/7nsGXLlzzIdub/HA/ikWhk1GysfzNDUtqEsIsgFLmb0q3XiPvGBNlI5/yuSTxVllRs8IatIRy14X2luU2Jy83iguMXeYAjy2YNF8+PaHvX/x1us+il14jk9/4e/M4Du27JR33vfYzZ/94menvvOmZa7e7TGOdMrOEm1UHkiqdIClSQFfAfeELMnvGbBTiVJm8ErhTzoxHGHTRI5NHZyMwU1qByYO4CrJ5YjWEZ1+xN1PCD5wW5vbH5piudNC1mu06oppz9L2DQ3P0vAtdZ+UtR1z1wNJzVfUfEHNJ63QMym4DYHn9LfSY54+DWc6NZdYSfVtNXFS1M+4PkgH8thIwlCzqS24bMeQx0/GDCKPcTrj2w9x4FPZZN0sUQNyojMnu3gyGzJKXH34218x5DU3rfClh3t88HNtHtjfZqnXoCN9+r7GVwJfCgLpGsG1dLvUKVFcpEqkZb/rMPia+pVJJi8RmqEUeFpBQuF9Z8wdpaCOcvCny0AUs2PzEvHyX0xdOP1dN8vgxtv4BsODviHAlxZPBHu3mN+75dJjzVqQ4GmLtSbtVnd1ycYItC03+jqAl8FdeW4yHVoCeOmAVHihIk1spUDfyRKTam6DkokbiJ+5GTJioRdz54Oaz97d4pN3TXGx20TUangtj7aGKc918tQ9UtkBdV+kd5mWnKa62xcEGXtnANcxvh9T80OsjfjyQwEnztXZMCvwpEl1rCgafUtsZ0sWapIohmOPXZsEr7hhwCe+HtKPPIaRoOa5flU/nSxVrFIq96vdHHWK42pFscqm9zjW1IMxb3/ZkFfduMRff7XHZ+5ucOdjLS52GgyFz9DXaE+hhRvp4UmJJ2wqtSwKUZKGVftwHTKvuGAFc4s8AE0mGNvdi9cmvzKybq0YTIyNE979F53mv/zB4Pdmpk9eCQz/1gBf6hhMMvr+cPjl6dfdcho/SIjHCb5ISBKVNvbKlM2Vc1KszPeszGRJ9jp7r3ISwPVOrlMTWAkoS8B2AzqdJBEpwLVO8HVErRYxGiccPAPHzyo+8oUpbnugzcWVJng1dNujoSQtz9LShrpnqXtQ8xy4a56bSejKTGXpLtKf2xTkJge577n2tCNnDY8fC8Dz0mXellL0ooKCchDmShwEceLGOV+zZ8xV2/scONNgWBM0YkEQWcaK1NozKXtnbkpmQRZaJffZ86SbSqcPeIxCj3p9zA++dswbb1nl8w/2+YsvNjh+tsaBMw3C1YA40Iy0Rio31VcBOn3MmDyXLhTB/5pb7qYUoDYUoDYUVqD7mWt8zkW7TdIsYAwkud3y1NMNjh2KuP7ax9i44RvvHvGMAF9Z7YgwCn/6vX95YHr3nOCmy+HGfRGehpoGEynCUGGMcmyesUYO6DKwZaG7ESmoKT1OwDuL1HPN55IaTpKYdJeHhCBwk1TjJOH8EnzhK5ojp+vccV+dMyt1jpxtQhCgGpqaVjS1pamNcxE8Nzi/5rlxbQ7E2V2md5UCnFRzp+D2EgLPsbe7sEKOLcD+4w08WbUHc4lCUQ+eOwqZk2LSvsbY46pdQy7bOOCJozGD2KMVCcYa/NjNBFQlgEspEFJWmBwm7TeRB7NZH2WUeIw9n3Y95J+9esyLru1yZqXLl+/3OXoq4PMPNTi7VCMZehipiXyVzm+X+YYEkjTjCblsWQ/klUCTcpY6c1syjWpK95SxM1BHCUQG4RmkSrjpORE3XWq4astXN7z+df/6X/3w+OS7ZLBz3fDtGQH+hS/cxjhM+OCneowGG9mzqcc1e8a85HkjrtwTsW3WcOnuMcpKkkhWlsQq0DMpkgK7xOIZW1c/mS1F7AVr51JEJXhBQpRYjp4SPH5U8YX7GjxxzOepY3W66ZBHPB/V9giUoKGgoQ31kg8c6KxOIyubdXXhQSpLfF/h+zK9AGyhvb3EZRY9p/NrfoQ1IReWJWMboLXElxZdstkmCDwHeZIH6K6/MYw9BJr52RCpRvQjj4EWzumIioIxrUwlAylFKYrNhh0hsEYWTF4ajOQlKh8/MRj7bJ4J2bkp4rmXjBmGQ/75sQ5PHPf5wr01Hj9W4+jJGlGsIFBYqUA4gyHPBuVJinW0SkWcZz5w9mhKjxN3l6dHk7B3T8S22Zh9eyJe+rwR1+yJ2LFBMRj6zUcfvv97LfpdfysG/7U/vI2xXFW7Nzwknr/vIp/5asCjR1o8frjG5+9rMuXF7Nwec82+kFffOObl14dgXVtUvUmqsyUYQZyCPwskKwxevuStAzTp/BJPWxAGIS1RaBmMHKMfPy3589sDBpHikadqHD4VsNj3GSc+aB+Uh2orfCmoK2goS03hxpmptPBIOdb2PeGSHmVwexI/lSWBD4FP6pq4lLmnDb4XpxnRiHot5OJKwhfuadHpBcxMCXTecF2AfF1mM6WA0EjGY8WGOcVrbhnx+QeGnOw0GXrSyRQNXmzxosyzzorcEmcXUp51IvO/YayulEwkicRPFIlWxJ4b+xBFnrNSvYimH/Gia2Kef+WYN79kxNOnJI/u9xiGig99ocGx8x4IyWCoSUKVlW9idQbwCcuonL6tABywBpFYhHGxHdZQbyZ4nkFYw8tvGPPqG0dcfUXEru0xUx5saFuEUcQJfPHBEV958oD4ye+5VPUv/kXc3Pj2b53B+9H0u3/5jwfXHTtrMVqA8DBGsdD3WDCGY8uGe54wfPQLMfOzMdZYbrg85O2vHOUNpPNThuuvCWnW0hXHijwHtvaci3w4T2cgePQxzVJXUq9J7tvv8amv1hhFilGkOHfexwhNZD2M8EBrRKDRUuIrQU1aaimwA2UJlHU14Dr1fHXB3H7Wl5mDW6U9miJnb98z+H5WoJXk7O37EUqFfOVhxSe+3kL52tltFf39zAyeeeFJkjkeitHI4423Dvnk17p86MtT9OMazVSHe5kOj7KkjM27hYSQOcDcn5IlrV8CuElHO2jH5J5WxFqj48QBXSUo5Qbpz9Ribr0i5pYrIqwY89aXDRhFbpzb33w14P79PvVAsNhVPPqET3cgU5UkeEZRnu884VoDr78+YsN04poeEsPbXzni+ssirIH5GcvsjEG7ogxMIglHzrlDwM1Xdrh+3/7rdmy/7t3AutP01wB8dbXP1FSj/R9/+5NXnFpoqos9Azo9G9K4WQ/pFKSxMVzoGC6suqExT59s8KmvuCvRJpapGcPN14W06q4OeN30ZPlST12H1b7igcd9uh2F1NLNRLHaMZPQuLnAGqRGSoknhQOztATS4EsHBF+Br4oZfQ7komh40K4RIGs8LoPbMXxaVutlDJ6U7jGBjrA25MyiTziuEUxJ/DTtrdKqvEoWU1CQV8k6zbvTjSKMPGZaih0bQnwxYhgHDGNBXbshmFkNSZbQUrJc3irzv+X+RuZqmSJ7atLa/ZI0iuMkzRuodC57TBQnqMjlErRKkDJm+waTrhiGK3eOCO0QqQ2djuCBxzWrA4nKFUs1qK6c6bQYq1kzPP+6iKkZg43dyl5X7tjZzKmLPEKbSd8stnNj+aYbEFupwtH4iva2d7RHg3631mh+Y4AfPXUeT+t3PfXU0Zd1ByO0H6RD421VL00GBhhia+lkS5AydFct577SLH3F9QBe1m/pyRECk225QFpzKlQR5EiZWlkZqNO0syTduDXzjUuPOu2kV6Rb75GD27V1KfwU3L4mLzF1DJ6yuDb4aXbU8yKCIOLUouFPPt8E7eNJUQSYuTwRaxi87A9nCTIHNjdYJ4w83vGaIX9955CnLrToJx6N2G1K66oAbdGJo7KcQDnYy0oXMykkSwVe2d3ktTBaK7zEzUvxUqArWSTNXN14+lyYdHBQghYWYRM2NAzf8UIDIkllJiCy/TPWOed5jZEAo0giTTaPJY4kEZnN6R5B5CZGblykF2gUhYztkZc1Zo+9Cxuv2cJtDcB/9T1/g5TCf/zwaYI0UREaQZzVDKDSeoPSOpuBHUrgt6AsiVcC97r4ztgtA3g1eBFS5i1oSoAnXFo5EK5a0JPutZakNRVp93hWSKQpzUEh3Zmt6KovAC5z2RL4Nm9p831TGpwT46Xs7esIKUNOnBcsdGsIrQkkFXkiy1+rdLrL0qECvNTpCGOPufaYXZuHHDg/ZphoRgkEicBLLF6c6vCY3FkqUuiq0qmQxXYud5HVWYuSNDLoxJAoidLZ9uUqLVZz28ooWdyFNKgU5CL727gpWULa3PXKgJ45YOsBvEjuFXFZZkpQyZ/INGh2P3MWtEyJAWR0FNv7gG/XUQhrAP7w0+cRwEI3RAqnZ33hIv448yzTP5JbPmTqIwN+maq+kSwh7copFdYLgaRIEbupVOAJiydS0KYSIHuev5eSfVEKSt5g6yvhwF4Bt3SPfgb0LPhMwZ11/2iTSxRPO33q+xExEZ/5Wp0LC3W8KYVfruEoOyhMKNJy6rpUfZklfUZjN8H29S/o87XHRnTjGgOtqceGME2nK1kURGUFZ24jr+wvZYFmVrWZWYfpTBULiXJ/UxtBrAQ6kekudq6WJ06BXiTTTJ5gk9KUEm/pc1kGd2rz5nvFPMP5LxXakZsQVNy3at1SkTB0G7tbsH0GnZPrrhYVgD/24GfZMFN74b//zXtu/MoDPSJbmuWByWsFMvM+gUrqNf/jfPONV3JBkiULBKjsUVg05FabEsXOEEoWGldlwM4GeqbypAzsfA6KwvUjrgfwLODMdLfOZIlN9Xa1ltz3Inwv5HzH8NDhOmjfjYCWNk/P5wxOlcUz5ip84HKpqMw98SjyuOHSMXPTQzorDQaxoqHAi913UYkboKSiMsBxIM//kJyo1BRp32RaHKcMiRF4RpAoSaIMiRLEKcjLxWtZOYTMQF4CdVYyITApyElLmrNMdJG0qxRjVOpXymxe+sw8A8BLbYy9SHF6edeNZ8M3vvCTn/3nd7/p9S9bH+DdcEjSib4jqIXXJ3FIoD0EaYCS/8G0phdbYW+TBzbu3zLrXE8itU/KZlJ2lWdZsQIcNmfwyRJOndVGpDXgWamnay7OOlWcLFF590oB7Kz51rF3qrk1ud7OLEHH2AW4vbw6MUIQ8emvBnztiRYy0PhSuPnbeQVheT5LuY66OKl57U6pAjMxisQohiOPW64e8oYX9Xjvp1uESUA/kdQSyzgmXbnKVX8mlXNm4oJ6JiYHo2U+oiEDd6IkShnH6FKmoyVMqRS5XANkC5BXss0Zk2eLdEmmirVkXh65V9SwZDJlsqyjCnYBxElIdzS6XuqL32FtdPe6DH7k2Glmplqv+dDHb/+nDz+5TN2T+cBIk8mPyaxU+sGyn0NVkVgq12v6ZUsMnoI7A4AsgUJS1DyURxtkzO22IMlekzI4eRtWhcXTbhhPVcHtxilMMHfas+mn7W2ezhoO4tI9IiTiL77cJrEBKs9elgPMoq8xczYqGpyJdj0j3XSoJAs2NQKPt798wJ9+ZsyqiRgmNYaJwIvJWVxKi4xFXnTm7MLJ9VNSWJOiBHJBotPRDSoFuXZdWjqR6Zg9V8HossfVeZMqnVBbrhPKalXyppQc6IVUWQvw6tpeAXn281J5R/nR/Z7PTLDA7s2r/3TXZW+4o7t6+vPt6e1VgAsS4iS6VCXjvUE8YLruESWloTulP5oVz2TF7eWl5psobvelMyYvyZMc6BPlmbkWn9CcGejLsz2UEoUWTyvuKsNuUmBrJQonJbcDXce9a0y2KXMXAaYusXfghTx0WHLobA2rPJSU+NKgJ+s0SgJ80kXJ7nmnkxElv9qBPIo99m6NuOqSPl9/uk6kfIaxoCbBSyw6Fql8S7tw4lSHI51cqPxJUWJxUZJGpc6ZtHlcK5PPkFSp9CvAndUC2bRMIGNy8tVDlMCNyCZmrc/e691s1rxKCchQkiWlcmsjiBOfxRVB7LF34yi6NArN59cweNM7S1PXmG52CHwIR44lygC3JSbPriw7+cG+wcfOmbvM5JNAL4Fb5TXfhe1WSBbhuudFAW4XZIq8W1zn4JYVgJeH/7hue3Jg59nKnLkTfO0SO64rKMIS8ZdfbrC0VEcE2vnu5YtwsgalYJGKRZg135bruHNv2iiiSLNhVvK2V/R46HCbcVJjoHzqidPiWTmrkqTgztYKk3ri5WhIVgjKgcOWLrDyHBuJMtmKZPPnMt9WPdXgMtvvKJMmsmiOmGTwiaaVIt23ttBuUgWUa5bKnx/IrcQwTjhxdgXTOEsSF8WFOcA/8JE/oV4TfPG+iOMLitlWlqwos/eEBKkECfDN+Dvz/wt5MvFYBnSZxSvjxQrGlmUGV6LE4plckShdBbiv0wFAXrZ1YJrh1BYvT8Wb9HlSuWvlOneeOgEfvb3FWPooqdLsZfVCnMxgrlmWS8ewqsNTLZ4o4kQTJJq3vXrEB24b8NjROpHyGEiJn5jUPRLIxJaOk3XtZaK8npr0b1X3LSozeWJA5xaiG22t0pIAldhiWGc+l0XkF3Q8ocfd+SwXy1Fi8gzk32ytLzN3Cvwy5ko/k8Jy+c4hZztf48H7D+CppArwJw+d4apLtzb+9//wu3sWLx5iuj7K3YAqiEtX1xr2XgfM5ddi8vla7f3MEkXkwJkchyxLjJ0FmdnUJq2zTV5T7a0mwJ2l772sMdm4mSF5i1jW0xmn9wjlhRw6o+mFPiidyhM7UR47eeFWD0h1oNGEF5524xSJH03TE1yxbcRjh0ISEzA0PrXE1WzrVIMr4TZydYmljC0NWZBZMHmRMMk63HU+2NS9lw1M1Ya0g8giTTEhIJuulWTd/bkBUASXeeA5cb4ztKxpmKi4TFVgVV2WCYDjAN7p15mq1XjVjXv3XHXzTzd+9Af+7UDXdzmAnzp9juXl1Vfv3Db3s489MqRdl2uL1tP/X8PgpVXmmQLK/D1R/ZnA5XPKQCiAXfQxqhIrqspQzQzkFDXSqgTq/Hma5FGkXrgDtwNwMRTIK8uTMnurtK/TD1nuGf7vv2qxNKwhAs/JE2krq0oxOOcba87KNIFsTkzO4M5RiWNNu6H5qe/q8aWH2iyNfUKpGUqJn/ZQFiMfUgYv19MLk5fRWkwKboNFUnVWRMrgNg/SM7ArKVIGd5IoyV0UcplS6PCinbCQKVngWViFlWMzscqtD/AJPJYADgJjNGZgmNsy/7O95SfujsLhX0PK4EcPHSQIAlYWztCsGQyKOB11W0myryNPvuFt4gRXBztOsDZFWtvNyZuUKNXBNDmwpUCqYvyYKoFaS4lOJYnOAZ5pbpMHlZ42Obg9ndVfVNnbUxG+H/KRL3s8eaQO0kNKSZCVxpaszXyP+PRLPmM1IQWb5ztVlGRKbGS6yZPHNXsHvOlFXT5wWw2jA4bSJ5AiT/ooKYhKAd0kk4syk5fdiFJNjFGgrFsVjBUO3NmUsHSYajFWophFU0ymdX2cQlblSe6sVDBQvP5WbmvxV0iUbN56pxdjjpxntR8QR25jCA1w87WSZl0gY8lT+yVhnA1ktBX9nf0NYdNs6zOBPPsSJbfEvZ0V5ts1A2UqnnEeWIqCzXOG/GYAlwXAVamGWqd1KR65FPFU4ZZ4peFAheZ27O1pN7VqpWP4m6+0WOwEUEvdE1EKxp5BoiBElcnLQfqkbZf3tLrqOeemaGbain/ysgGf/NqIpX5AqDTDRKb2pEjdG1E0Y8vJxIpJ6zrcWyZn86I3UmfOikqfp2OvTToOOzvuZZCLdOe8XEqm8sStzmU9LibkiqgCXFiEfWa0O7xlwKsGn1n8Mo7g8FnFyW6QV47oux44SDAzu/uuB+/96U/ddZrlvqDhuwNU+cdKzPONbiL9zzICs0yc7BLQq3exvkTJEicVYFdnf5c7XNxwd6rgznY2yJhblZh7DYNn4yaKkRNauczlseOCp0/UMAQIqfPm3KJ6sBw/iJKrUXz5ci1KweSiJE9E7mTk7WaJBqvZtytk75YRSwfq2MR3LJ44maJLLk7BnuVCr6xeSBZ2rk3Z3BY+uZHF3MhybKOMw4RJd+7IE1qyIKMc3Eaks1QyTS4mpIqYwIPNX6wnU4r3RFGoVfqdLNDcOh8jvKfYd83Wn77kihc+8iNve/y4rilDIMebzZjXHD2ywsapIA/kJkV1BdyTgnvyA03o7cnHfFYIVZBX5YkoOROiFGwWgHYMTjoKuOyDl+/pltaqDO4SyNP96r20NDRjb5W+1jpCqYjPfL3FocU6+IU88UrWZeWCZe24iDWsZEs2bLlBu7y7WVZGG2ou2RDy+lsG3P9UA4xHnDgt7iVpdjepSqWCOcvBUgpya0sSpSRXZPpcpquKzO4i3ZbG5uOWE+UqqN15sTkxFQmf8vOUpUvtbXnbSxnc38R1WvsiJQxp8YSHTw9p/df0O8nmaKyO66mGpBEIts5KrtyuidIJsKJ0KX0rcnvycisz1zPag9lBoKq1C5ki8jLQSWDnbK5EqQm3BO50PmGxbQdrga2LAUH5iDdtUpDHTp6oiHoj5OsHFX/9lSbDkQ8NjZYCT1SlyeTnL3/ndQHOhP6esAzLvngUa6Zamje/dMRtXxtw30Ef2/QYJgG+IL/QVP73Cx1cWktzkJdzFi74TC8w5dg8kU6PmxJrZ0G9ybY+MaKkv0Up0K3GUIXuLuIC957IgV4G9zPw5vo4TL9WkgjGoWJ5dYr6phrBtGI0VOhOP8KIiP7IgHDd41Gy/ui09Ujbsv6HqbD1GoBPSpTqRNMiuBQ5aPJ5eaq0e4MSaW1KAe4C5FnZrEXrYoSyTjdh0qoKdC9na3dXygWYvh8ShQm33dPgqZMN8DyEVCmo0rkhpeBSyOpJnXSNctLIayzSEohSJtPk08Jk7okniSYMNVfujHntC/o8erzOOPZJpMfQKPyEic+SeeFMMLh7tBOfJa2CxliDUQKV1XtIgVUgbaHH8xVVgjSlWYamWDXkJMAn4xImgP+3yHSuTxRuT06wBHpEoAcYPUL/wQf+Bqk0g16XMHYDb7Qq6k6+ZfpexzEBUTmxazQ364E6Y+xygFnsQFBIk5JVmDN2BvBicmouUVLmdoxtc6bW+WPx3EuDS60iAj/kiROCz3+twWDoQ9NDiqxykJI9uE4Ws/Q9y9SQ1aI4dKWVhWU3pZzwKRVghZFHqxXy2lvHfPLOEY8eDUD7jIzET7W4SpuuytJAJOTywE2yLDkEqnBytKKQLtKxebaqZEG+sQ7s0hSJNmHKbkp6zk3B7JM5jjUAnwD9JEl+Q3BnxX3pd5hqKbqLD3Bk/JSrdW+qVZd+DUJsKBECrBBrvO1nwHT19eQSU/kyonIFr8visgT2subOQe70djmbqVRaYZhWFLp2rvS5Ls8HnwB3eveyKbRpgb9WsbvrCM+LiG3Cp++uc9cTdTcvQ7qGZq9UwlspjS3fyy+e4eRU56GLUlO5c1QSIytAH488XnLNgNe/cMCTJ2rEsYcViqHQeAn5ZxJJweLFR1ifyctD7JXKmNuxuXstkEbkOjz3+zNGz1bblMHzoZ0T4K4EnBWQF67KesD+RjifzNcMRoqDRxMQQ8Ci201ndylpGA5Fvmz+bW+i9H+TjF08dy9kGeCltq7yzgIVYFekSjlNX7qrCXCr0l0Xm6BmgPZKoM6cE+eYuEelInwv4pHjko9+uQX4ID2EUHkXkUo3UpUT7JR9n+zUiPyYlARdBirKzF3S4Fa4HTFUOvoh3ydeY63m7S8f8oV7RjxwxE0SiIxikIi04CsFXZIBp1QHUoGGWz1Q1SrR7KcqBb2R6X4+WVCcaW+Zsrlwj/k5NKWBnbJ08VcSYIUkKY7XNw40v1m+3Fq3F2eYCAzOJdHnFkMQkiSOMCYb1v7N1waxzt8oAstSZFzR4KUpqxO6u5AqIk0WFNZTBvB8Tl4Z5GlrWrHZlNvZoRiAX4C7wtqlx6yxNpMqSsV4XkyUxNxxX53HD9fB80C64NIXtjQ5thxYiTWBlVh7xEo2XQZ0UXI1qGrxtJXNqNRRSTTj0OPqvSNecrNj8WHiWHwsfEYGdCKKwC/J7EIHqEKiuA9QzlSXrUslwSqLtAJlcdlPKxBWYAVIKwqpUgoqC/ZOz6spX/ilue7r5EHcUVqrxcV6YFsPk8LhYb6d4PvumOootiAMJq1PKTZMWp/FRfX/iv9fo6cyS0jkUqWQJtlSVXVMqnvETNSfCPK9d/Ldi7Pm20rDQ7F1iVIT4C4Nxc/dE5WgdAngqUTxdcShc4IP3tZiHHnQ8FJ5Qt6apsq7BJedk0pU/QznxVaBXpYp5c0BjF1Pi2uageQHXjvg03c1OXjGXXyJUQwS5aoMkzT5g3D6OxGFW1FaSfISjBLApS20uEw1ujQWK905slI4gJtSrJQxuSnHUuusbCVAlz36MglWAP4tBJ7ZBeAuMOMGOfmpl/+xP//tTTNt/78eP3Fyn6BkxYlnuK/3sxyEZUkxsVfl5M+y92U2Djh9TMcD58CduGcjE8oed/6oC93tHJQquMt79RTFVOnuDzrKmxk8HZLIkA98qsGffn4aggBUDaU0DWWpK5uOoyBvcPZKrXFFJrWciJIUk2GpBKhFLFHYjtlFKyRp42/RC6mkRVjDjs0hZxYlDz7uEws3ecAIhRCulHa9uKcKmCLWEuXXtiRqUrAXFwOF8wMTGr7a2bXuvfzflNykfAox1ce8ucZQMT7MM/3bVjAcQXv++s0btt/6RX3n149NX1xYed1oFNKoe99UnqwbAOTLS0lLlS2g0vMiAVB2TyZqUMqsXakDtxXtLXMwFJJElbS3ynd6KG1EpeyEJMkqBTP2jvB0xNNnJR/+UgM3f8Wxd965n/19QWW8sCx973KgKcovcgBNgMOUa0OKuYI27SDPpveaRJGoVIsnmu95xYBP3NFg/2kPZIgVklHioUnrRbJjnaTwTLLETwbVknSy7rXFzcbKPptMASQtSOtkS6a7pXV/w5rUHzdpgFpZnatsvq40Kb1Xxtnai/KZgAkYhyUlQlq11dc11YlpbUyIFAmNutt/JttHxV0ptvIPTFRUrGPpTAJc5P9dxTYry5KyjpXV52WAuy6STH+XnmdAzqrdMg1eArebyGrSR2cHKmVQmd+tYpSMUak8SVTMp+5usv9Qob2lkM77zjtoWPcECiZfl6VcToql59UG5IonXppIpY1wtSmySOGHkebKS8e88YV9jnw4IEwUCE0iNEMh0Elq32XkQ+aolCWozT9j0dAiUHndh5Mm1tpUi2clIbZI8Qsw0gHfZDKl5IOXwV4G8hqwl8lyjeStgrlyPEuxQ1bT0+tZPN+g9+2WrExLop6i01eMQ+NAnn7RQgtNhEvf5Eqr2kGTX3BtImD95oYqa2evM9bOwJ4xdw50VWbyQnerLIjMtjiRBi2LoflKJXhexNFzit/9eJuR9MgmaBVd8+kKUq6BLuvJih3wzLfKSJnUC89a2IqUfVmDi0p9SmI0ceIRJDE/+ZY+f3VHgyNnNagIjCYSHkMhUEnhaMhysDkB8sybt4DOLrj0PWldet5iU9bOPHFTYXOb/h0jBcIWq8daMyEFfgmsZbB/ozKP9cg1WxETA+PQcmExxm8b5voWPTPdQdCl3Ryw0p124YfEVXatw9Br/vEyS4nylVhN5OTP0yq39RiwDGwxwdpZIqUKblNIFFllcF3xt1MwV/zu0l06Fvd0SDc0vPeTbc5cDEDp1BqUqTyxFd87f17+7hWWqia61gU6ZU2aNR6UezSzFL7M73kzhFQksWbb/JgffVOPX/2gTydyAYG1krFRzjZMss9hIREUCrsAefH/7icqvQrT+U3FoywcHyltweC2dO5Sy9DmDP4MAWcJvCbDVRlDE1hbk2dZ56YEdMcR53shUS1Gf/SOOhcvDji8H/ZuifB9mUfGkwHJmshWFO+Xfz9jsspSlF44k2CYZO4M2AVrF1Nac/ZOC+4LQJeYXJuU0U0uTZwcMSWpkjF2nD9qFaGDiI99OuA9f9lmbDwnT4TK5UneVDxhiVV0dy7JJljgGVi8YKBSRjMHfZaytxhjis298uSP2wq8pmN+/K19nj7h8/5POS0OikRIRsYFnDIhZ/CiACs7WUXmo2xXOlAXksXalM1FIQcc6bhSV1tJ/DgZk9elp3gwZZKrYEZU8UMJ6OssipPAz0hzqi34zhcl7LtqTGtqhN5Ul4iGZKHm/mruhGRALqG6cpomlpNJ33utFbS2NmFtYY6dkCi2FGSmW3SXtwxUZdfBlKRKBuYSk8uiOjDX3fmjmzW4vAJ/9aUGK+MM3A7gnnTaW4uqPKmsOpldtt4JKR24stbOQF51BsryhGLrRTNRJy4lyiiM0cSJZspPeMsrB3zi7gZLPQUyAqOIcHp8srpwIpp6RiZ3eaAiKZTVp2TBpk1ZPAd06pMbywRju/OJEI7hSaUMFBfcOliqyJVJ7JUwmh13a2G112ClM41hCj07pbCxZuOcTy3QeSPBJPlUr6SqVKkAuAx6uRbsawKycttTDpjSiAhpK9q7sNLWBpXZcJoC3EklwMyCzGyfG11ib68R8+mv1Ljv8TqmpL1dU0MmT6r1JnlrVom9y55/2Qpfn8RT9sxtrkKiTDZD2HLQaaXbeCD1xePEQ5uY518T8oabBvzJZ3xQLoFnhWBsNEoItwVJFmiWch2TciWzBq11dm3G7EoWMsrKUqGYdBWoFea27oK3JQyYjMQytrbZzwpL8xmZW6zFXfl5Qlo6kEB/oJhdVkRI9Oy0QhjFxpl0cv+E3/hMprtY88fXypRJYOcXgbSFVJlgbCEm2FtUgV24KOlrZdHpiDEpU8dE2lRXlyRJ5pjIkkSRzj0JvIgjJyUf/HSL8z3f7Xct3aB3JSh2bJiIF9bo7rLvvA57T94qiZ4Ss6/ZajHbgrHSde/2z3GPbvuTTc2EH3xDn7sfDzhyQYKIAIVBMhKytImUA1UGalG5CksuWvb/eTYzPQ9lNhfueQbmTLZkK7H7WTb7XaR6O32e9WaK4jnl52U2B/LRExOqInP8XPO2ZTSOWVyJsdKg59oJnk1Y3ZDQG2mGY0GSZNOqJoh8grEnwV2+AsuARlBaIqu6O1u68gOf11eXmFtlgJ8AeT4je/J5kmvvjMV1Ng5YxSiZoFNb0Pcjxonh9z/S5q6H6q63TWqnvaV0XTuimL+Sf9ZsZSlfzOswefn4lbG+NoNZuBbFHu/l8tlyGa1rNzOZo5IYYqlRseYlzw35sbd3+aXf9xnHMh1uI4lTV0Wmw+OzDCKZs5J/MJFPNMs+n3stSrFB2l1vwUqbBpgivwDyoDO/6G2lXkWk7F0OKCel7HpkOunSFRegiyKSxDIeGxZXQjauxgg/QbdbPQRdptoDhmHg/mOZRtGTAJ9YNipLSvmDVtjcril+L1iwPNhnHfYu7T8v15Mn0ubd3m7bbFOSKKWxv5nuTmdc58GljPH8mC8/4PGJuxqMQw/qOtfeOXvngS2V+3refuX4kAWc69N3ubCpmKpaBjdYlVUZVmvFEyORxkmVDOhxrKk3Yt7ykiG33zXkCw8oZxsiQUgioRlmq2jOgLYKFlkq5S2tMs4izECdfk4JKv1+2WubSpMM6Nn5tUJg8u0H08Az6xudwI8tvQd2gsUn8DhxS4xlZZiwNErQ4wT9kTsUFy5qjh6S3LDHEARqTc1uju1vgbkL4Nt1AL2WxUVZb5e9ZVlyLDL9m++n7l7n2jufhFoAW6sJoKsC3DoFt+9FrPYtn767wcFzNSdNhCuJFZn2FpQmSNk14M6/W/79RQno30CfZOC2jjWzJXYyhZ2De81woKJGRUqFNAnSaKKx5vLNEW94UZ/79vt0wjT9apweD1Fk+0BIUm+8UkZbMJnFJXfyC1I6t0WlLW0Fm2dSJU34iLSGPAe6yM+7oXT8bMHwk0CvBpx2Aocio4SKqpBSsGmDxwuvT7juOX3aUwF6tuZj6j4rgSY2At8WunjStimzdRnQOVM/g/7OAokseC0stmqypAgwC2AX4M588CK4lPlgdlth7EpAmSVyyi6KdJ3yhoQ//kyd93y8hRXa+d4V9qbQ3nKdz136jlX5JtaseOuxd6WSj0n9nTH52la2bKdpYwwmkRjpfHElDVHiIZXhx9884PBZj/d8QhPFBcgNgrGQKJMNksi0QgnkOahTXYFbBHL4izSln7E5aWZTuH/TpquzzYGeZX5TzSxK2lsUQW8RG5SO48TW4SLV/Pnv2OJ3s5qmTq/N6uosiFn0ZdsUG+oaM/DRWuYTWydlB5U/UjD0JHNXgV3N8lUYvBxUlt7LPO6M2YuZeKn3PeGYyAzcakKeTOxZr9K9Z5wGj/D8iMPnJZ+4o0m/70FdrWXvvOa7tLqIIsFTkWQTz+GbJ3kKBi+BHkpaXFTcE5s2HeRAl6XNeKXT4lJqoiih1Yx580sH3PbVOofPpUkFN6CaRAiGbq1xn9Gk4LYF2G0O6tQtoZCtNpckpcIq4dhbZSAsydAy0DNgy4lVPj92knWZuwzytY/u346toT+wrHYsqimYnQV92W5YbFmWL1qGYbFKTVo1pCy85g9Mgnu9D52BOE+MlBnQVuSJyGffFe5JDu6MuUV5MHvmnJjKdhuyJEukTB2TlMm1jhlHhtvvbfKlh+tuOLj0HMAn2Dsr8lJCUAmG86W2mn7OEC6+GbKrhF4FeuluTJo9zJyUdCsSp7tNIVOMJBESlUiMUERjzSuvD3nl84ec+qzH2DgdnlZCEaMZCZCmtG2VELmBnaV+VA6vIqBTMgV5luIXoiB7686pTSVDFehFRtXkyZ5iVo4QuLJekX2ecjwn0kXG5juiZOAWWEx6wRDBSjdiehkiqdF7ds+vjkbD24QMvtPTxZcof631rhqxBuR2DajLddJV/Z2BmdLylYG+xNg5sDOgF2WjVeekqr9Vnn5PSs9jpHSdOtKPufMBn1/7oykSqwvnRCqEkG4fIFGk5asMXnZ81mfvbyGJWSA7Y0AmZYqtyBVDNvUqLcYShaOSa3LpvHFhNHFs8P2En/uhLgdPa+68X2J8kULWfYHIKIaUBZUtyZJ1NHnuhaerbfZ504Ay0+EivQAMxSgJW8YDFD75miaIUtd9JXloKxgsPnUVrMYaGvWAZnvqtg2bd66qnTsv7Z8+vXpECH5Miohsm+Y1QdQ6RVBCrtWnleSMWlswVS6SKlLvmR1YpOLVZHVgKaDMC6qeAdxlqaIrCR3Xa3l6WfBrH5zi7oebblMe6drRkB5aCuoSAkm6yZVdW7tduacN0PmQnOowoqzmXaqJhunScStei9JFb9ce14wMSnMAxaTUK//Mwoa5mEBb7nvMZ3VYqi1Iw8xsinhRcZixYiWS+Bau1tKFkF0uJenloDi5dXtJ4pSItTq9qpwvKKY9TGaD3aoGUWxpNALGg6UfPHNi/0G9b1cHpQS9geHsBQgjV/JoKstA8dXKLO1e2wqbl5m6nKJ1+spW2LziJ1e2xahKE7mO5s52GFj3rsqBZVoKmz5P/IQPfnKKv/5KE1tTIJRDp9AIKSv9lkV/4zfomC+zTyUrVsVF+e38hFWJvJApUAk0q/ML0yAznR9oU+a21hQ1KkIijSIRGjlMeMvLhjx11ONdf6gJg7gAuBBY4zEm7a7K8uuJM7EttgBlyqCWNLuZAiQ1gFywmTEyjs2dPVgsCNn5t5QCzAwjSYYfkcuQ/GPateyeH1pRBfk4NCxdiInTTQD0Q0+7H/gKajo1jEpBVAbyIqCsaqNCpkyOQy6D3E5IlLJzYpkcwVsBe+Z3ixTgJe1dYXCZlJyUMrgTZKn25Av3B/zRZ5uMknQKvsiswTRrKWxFe6+bmi8DvXzRTxyXqg5fn/2y3Qwy73lNRhO7poTWylJmU5acFeHq+Y1Mi7OkITGawDP80Ov73POozxcednZh5o0jBcZqxsa1o+VFJJPWYYrUXEoJgSKTJiWQZ00PJc2d/U4GWiFBWlshiQx3tgziSmY4y+tTSvGLihMFbhW8dDtMTRmSxKKPnw5IDDRqhs2zCbV0LmH1RJWtm+r72VUmJ9i8osGz1Px6zkkG8LI9WAa3KHb2Umt0uKl64JPsLZMiwNQRgzH8yvumOHomwOpit+SK9s4kUgXYE4BmHTDnEM4O0gTFrAPyyZNTzWiWi6/KenxtbYqRacWhLLO4QiQGITQyNFyyLeI//HCHe34moDdKv4yR+edK0IyyDEtW3G0KkFsJmBTUltxhUWlAaSVpV1IK5rQmpUjylORu9jtl0ktZs5ootEXRX/bzSbItnQMpBa2GYtuGgLkZjzi26N07N4KQJNEAmyxSzOUu/cdlpk6vJJl/iPWck2JmdEWmTLB5ZfTuuhLFlHzwUl9iyuY5c1dck9LuvKnnrXVEnMDvfKzFwwdqzvOWGXMXzoknqrJEiSpr56vPOsydRk6Uh26ux9drmHzCOSkaICiKmawrZlpTbSgcg+dBp5EO5InEiPSepFLFGG7YF/FT393hNz4yTZikLA55VJigGJtMi6e59hLIc4kiSllO4TbotWU2lyBMwdwynTJrbSFbJo+pzWWJyJNAlJhdCFt43rb6O6K86FiLUG2UN4URCfot3/laglqTU8ef4NEHbkMqH2PKV1EJwJRPqK2+pjrZdO2ogEkHpQroAvB2QqZU92cs2DspdHk5qVO5p4FlLeGL9wa8/2MtOkPPeYCp503apOuckyJrWS7lVZXPvVZ/58xSCctE/lpMAnqCtdfgvQJ0SzkBVLB2OhU2kyTlJJBwNmIiFdIaV68SK9o1w4+8dcCDTwbc/nUFjThl6vQTSkFsJCOymKIAucWVxpLbls7zTmNVV9abSRiTyY1CvmSrtwWkrVqr+TRiCcKWsSaqJJuDuqTRS2CPE0unF/KqS67jxuddS7fbR0+1LF4g2Dgbsnmuy1J3rqgnmADxJKtDVXcj7Lr6u5rMKeltYas+eAnUle3qRLHDrgN4UvW7pbMCZb6vugsspYyROubAcc3vfrTN4SXftcGnfrd7lAV7lxqeKyBfT55UpMnEtKa1aqSqUta4C2UWLxIreSME66XxJ4YEZYVY1uSbyopMqgiLkBoZWfbOxvzk23ocP685dEZgdVlgCZAeSQpyJkCe0aXKpVfqd0PK4iIPNLNMeM7iE9LFwaU8JwdEMhnf2PxTZB1mleNvC0yC21vo7IpheQiJVYwTiV7sWhoJHDmb8OBBw4YpSc23KF2e3D8RTGb/5ARjV+tPJphbloFeyJMKc6dSRaUypGDyku5WJn09mcwpgK5UgpQxfhBzviP4lT9s84kvN7CeKtLxqTRZj71V6QJc65xUJdtkUqfM6NUofQ2JVyXKxHtra1LKOjwDdDkAzTp/ZFrUlD1Pg8/EEGPwpHNVOmPJz/664sKqgKBMtwKLzpm8kCfphZY9pqytJFiTypfcTRFpkFllciGdW2JLDS62LEtS0NrSMV6PTHMbsyRxtIJ2Q/OcK0Iu2WGZaqfYWe3WGIWN82cvtj/fGe5hFNrSdNaiHaxcqlotVy22mJt8nb+nio1DZfnnwlT+nYpDogprMK87ySoGJzxvmQWTKk6fu1qTEMOnvlbni/c30lqTzBKUKYNn7F3sGlyeN1jJA0wyd0mLV1a1CebOwT+pRSbkytrZIenuvqYM8oK5s06fTI8nJkv8lFL7VmKsSt9zz+NYI6zk1TeNeOMLBvgihjgGk90jsDHWWmILIwNjIwgNREYQW4jzIf0Qp3tsxsa5i8VWhOluFWlQnKRZ2fzRkJdluwvTTuzbWfx7k+8bY0mMK49NkvQzWIeRGy7bwp754PObZurnN017qD/4vd/iu//Ji1bnpuTqXDv6fuILtBpulnZeFyLKA86zJE+x21Y+y6TcT5mBWhTvlQfbrHdBVMpgK1agLcA9wdzljnidglvrmEQaPnlXnf/fH0xx7HyQNjEUCR2kRkhBIKEm3SB7nY6By2aLF8mcYjScsw+Lwfz5lFsBUkrybVVEdUi/O4ZyIiFG9diVJFJxrCeypxMriwvgRB7IrS1NtpVVRQjAWGbbCVdeGnPqouLQSe0SPvnVWFytmQNSjL+Y/J3JK3nyIk//nbWLVtX/n+CBrHy48nNblXNm4mIZjSLm5ndj5fS/eeTxI/feePOL3R4989NdpPLxki5Tqo9QPuNQEUVuXEHm0lZsQmEqVmH+vJR2LyrFbFWirBdYiok90DOZogrXRJakSAZuWQooM0vQ8xKOLUre//EmB48E0FK5JHGJHae9M2mS91ky6dGzfsd8KdjMT7moBpRiXSYvXJT1kj2Otc1EwqdwUWSe8aum76UAY9yuw5k3LjJmT+sJhDBu6pV13ng0tuzbG/FDb+lx/+M+xxdKS1UedDoZEiMYCRdcko5ws6Zch1Lo8rxGpap6XLpeup8JW1yEuYyBiW78apVh5qCUp15ktTpRAuNY0B/C/PmQ1tyQ0ai0CdXO3ZcjZJNwbpnBzBm6vWnOLcwSJ9IZSVl8USm2mnRHJhwTqkDPgstMj1f2Ni9tD50BW+TBZabHDUXhVEmW5O+l7K0SlnuC3/rTNnc8XCuqBLOMZQpuJUl3KC6PQS4u1nJF5Xq24HrAn7TAv9VbmaEqVYW2LF/StLZxgDLpbEArSuAvZTqlsBhhEcYdZyOUey1UWpxkSAaGl10/5n99R5f//L5pVoYZsFPEGZGCXBNLkTsoGcgxDshkgE/JIvuM+Z5XWYlLekGI9CIod/jYiWNc1IxX29dy/JXk3TiGUysxS/0xr9q0ledefx2r3UEB8EZrC6q26/b/68Of/bXHntzxs1fvsFy+w8PZ7+V9D8uMnfrhsuy0FD8rAD/B3s/wOndORMHmOWtnAFdJ+rOS352m4TP2HknL73+8xR9+rEUv8dJspaq4Jm52X+GcVIqqsu+SsXmlGKjE1OuC2SJEqWP7W0D6ZHd92UVZU8tRsgvLG7fK0si3jLmNFAgj3fG1TuMmaewhhCExCmJLy4v4sbf2uLCk+O0/bTPMpIfJ2JwKyG06wCTLCdk0yNRpj6I16ViJ9HfzZA+FfZglfzI3RZbYWzARaIryz0qTudKfKQFTDcEbrki4+VrB3PypX3vuTf/09qOHzmWLEOj6bn7sX/3nwf7942PxaI5zF6dYWPaJYpEvrxV/uhwYimoQqkpMXA0w1/rbstJaVjB22QKUGUNXwO3+2zJzSxmDZ3jqiMef396gG6WTMcmAnfneEkEqTfK7LXRtGjesm6ks61gK1l6Tmi/9N98K0ot2tQnLMAs08+GU5Yug1JSc927K6ut81ET2nsKm7W3GKqxRxJGipS3f9+o+V142RiZpsGlj16KePyZY4wLPscUFnVYQGYitCzLzgHNNsFm8NpXHbHfnNPi01YDSTPx+MQSpGPvsadgwpdg83aJd20pbJ8fu+dR/GVxz+daCwQH+1Y99J0FQ49GHv86Jow8T+OuVrq4nQ6rM7S4GsyZrWU302FyWlO3BQoebEquXwC5KWcqJVLz2Eh476vFTvzrD44cCrCcLWZIzuCzZgjYf5DO5U8N61uB6MqWS2CkFYoVP+C3KlYkgq+qLT9qF7gS7eg8HXGkLyWKEC3CNlY75rMVYmf6Om5AljPPGEywIiwgt110a8e6fXeXH/ovg8cNpcCKzDyOK5SRjchzg/JJ9aLKWtlSiZKui88eLOpbsn820eFGzYiuMncljkf758rlAuu0KjYFxZDh6KmbXJdfz3KteyHA4An6hCvBd22fwvDqjFYkfDUAEqb9YADzT1WvT83ZdMOc73ebJHVt9vg7Q5YQsyYJKkXnfqgC2TBM62jP0rOT3Pt7kkf0BiSqxtijqTaBkC1ZAXa5oLFh5cu7gmrEQFbAXrF4JML8BwtdzD4rUvTurlREea5jdrpEsMmXvbDMBm2U2RRrCCpmeO+n0uLEkGLSw3HDlmP/lzX1+7jc8erEAD/IikqyZEgFGkQhBmLWxGeEyOemjxTUjZwn9XNYIcn88DzJLEiXr3czIJAd1KRWfqyfrOohMLIj6hnMLIVd3NF5thnEyyI9rDvAgkCgvOLx5ozkSdsze5dUQ0DnYKktv6gg8E0vnTJ6/N8nUkyBPJY0w+XMXdCYlwCdpPUrimFzEKJGgvYSBgfd/oslHv9hknIF5grkRzqLLC6qegb2rmbR13JMMtOXnmYVWAbOYePym5F1yUlJgQEWHG8hHGVe98QLwDtwyZ3VhnRY30iCsdEGbte65SYNO6zxlX1je9soB+09o3v/xFv0Id8BSHZ4/phBOjCwCyTRV72pkHJCVyGpVClBPJoHKtSkO6NUuoBzc2WFPD5gRIAwkwhInhljWCUVwxPODwwyj/Jjm0yF+5b/8Om/4jluPdAbNjWfPD15qog6NmtsZuPDDi/qMSmNwyRkpplBl+puqBq/InrT8VZUrBO06GrworJKisAa1julH8L6/afJf/nCKC8t+qTsny1ZmryVauEYGv9LIkKXoy80XWVwxkbaX1b0gJ7dYqWwSILPdDyY2Dsh+V66VQuUmCFFUs+YDcybreyYD4KJWxhaAqcQJdq20JAvenNSYbic876qQ7kDw5BFNGIvSP5JphuIqtwhnV1KWaKULWxQrTvVnE40RlFaq7L8rxRrZ72X+d6bprRVolfCCG7bx0ufv/Z1TJ4++99abb1zL4AArvQ0I2fiMFPvfNNWS1081RxgjiBI3QSnvZk59mrIdWJYl5RR8dlDL0kRMuCVygrmlmAgwM1tQlMpfVYKsWf76Mw3e+d4255c98NU67F3NWLrNW6sD7CueNzyD91343JXzXTll4psR9jdl83KnSlmqlE9wNXXvnAs3VUq4bbRFEZgKW3jiQmSsTfqYyRXH4hhNFFq2zCT8wo90WepKPvTpFtTSpWMNk6dsiiTCuSS+KBVdpZnYjMFJ2dsId/zz/X7yIqySXZju7eNKYURRSZgeh9i4/VzjBGZbAVJ4j+zeMvuZTndQOablKYR8x+tewrb6B+/evfXUA5vmF5luLzDT7uEpUwJw4VtPBqE5EwsnNybtvvUag6vgToGsMo29PrilTFCB4fBpzZ98usm5Bb8At5i4S7c1ohaFc6LTxMRkp065EToHMxXCKogppc2y/v4WVUnBVt/o5yXvu7JdR/lCoKTJzXquSjEwyKXty+n8zE0pJtVmDkscSrZsSHjHdwzYuyOE0LkozlGJ3fPMabEJWJOn9p3Dkqb087tzUrLnxk6m9kXhtkxkKIvZjNV7nMCFgeXCcMT5YcxDx3sP/Mt3/vXdz3v+yyrHUU8e2E8/eglSCB58IkbbZX7kdTGBdnor18yVQqpJDb7e64zBTamqMEvolAJKUQa9KTS4KGcsE5RvOHJW83++e5ovP1hzuqPidZe9b+d5Z2MgtFyrtdeVCuXfyTvAq1o8Y21RBCbVC2Py98X6Lkl2VZT3wlkz0i1L9Fhy9nYeuM39b/kMRVkCVxcijEyTRBJhcNloI7OQlUQotw0IFjOyvOJ5I375pzr84runOHrOdwwBVY88W/JQWARx+vmNKdyqrCFZ5ro8zWxmQSdZUFl1U7JEUB6UpudASUugBXs2RbzjtR12bG4yt2kKrOG2D1bxvAbgr33pm9FahUePfIyTxw9x/xOaq/YYmvUYTycp25bkxkSAWQ4sK+BmnQBTmrUAr4A7KcmV1DXxDMcvav7j703x0dsbhCLdjSpnbFUBt8Sxd1Hnvc7225VE1oRurQTWVeBWGP2bEXf5hxP0nQE+cw7WFItnyZ/cUanWiZOBgZmCnAAALbxJREFUvpLZLBohpEm1siiSP85WzABfRLGZZImNpaZj3v6qAYmBX/ydKU5cTJ0VJsBdkSzuYspS9KS9nYbCWcm6gvJOfGnz5I6zEEUqV4pEEBTSUSuYbliu2F1nc9Pjkm2XcNUNbw2NiYGf+cYAv2L3Rpqt5s+8/sWXXvXY1OLLmrUhiYlcdnIiWfPNLEEhTOGLl7T4esztfpbkrzNrsJKG1wknFjx+7ren+NgXGoQy3XpNrHcvZyxLw+vTg7iuNKEcwE04JhXAV9l6DW3/HW6TuK5kNCcZ3RaMn0kYUXZUSllNUdLimX1YgDwdB5uGgCYFd9ZQHMfg6YTve+0QreDnf3uaExd90jnM1YvQWCec02yxQRDipIYnBV7lu6TBOU4q2rSeJvu+hRYvgJ53ClnQ1gX23Z5h/8lZNu256iteY/fPDPqjNcd1DcBb7RZf/9qXuls2NQ/2tusX13Wk2o2IwE83b5JmLbArtSfluhP3GlEElaIsV+Ra5s50uBCFBy5ljFQJZ5cVv/A7U3zs9gahmgD3GlvQHTRPVrt01mPvfPkryReYlCIT/ve65GyL5M/fBudrwLvWFy/eFBjKtSdOptg0BhSTYM9ZPd3E1WRMnnUcOZ88TwoZi0ClBG1dXyOGt71qSJwIfva3pzm3XPp+EwGnu2WTyKWTLFlSKl1JrUhnqqTOTTZfRZSCUFkGuk17OvMMpqA3tAgSGk2bjKLg4Odv/2L3ta951TcHeHZipe381LWXRzeLuHODVomzZLJvlWeVUldF2HWliVgH7BmQhai6JmVwywnmVsoQe4L3frLFRz+XgluWNXf5sQRusTZjOam7q7q6CC7XGw9R9r/X09e5TSbE3xbf1WzmmqSOrbgn5bR+Vh/u5E15t2R3EVSclJIv7qRJ6iunBVmZT56k/7Bwo20RCWgS3v7aAQePaX7t/W3iDMfPCPLsuzmQGwuJTPfRtKmTIkCJwkmZlCflTnwn4QRhAv1QsNQH3bUE07XHzi90f2rzfHvdv7/ux3r+ra9g6/z5ZGbjNvv4iS4xS8xM9Qm8ON89Ia/XzsamTdSqyLJWX+Nrl73uagCZ24DZXRnQgs/fXefDn28wliql2jKgS+xNIU2KfXVKgKYM9MIvruy3IyZAnl34pbt7XaL69BfWlMl+K+Au/WJFpjDhHlAGvSAbhFP8XtYAUbgpxc7JYk3wWTxmTop7zOtVjMQa5Z4nksBYvvc1A171giEiMUWtio1Krko84bAkkAbCkXE1LGMriKxzWqL/p70vD5Ojqtd+z6mt956efTIzmSSTPQQIWSQi+6aCChcUFz795FH0ivuuXK/Ifa7icsUV1EdcQL0fAi4B4YLKLmETFFmykkxC9kxm7a2Wc74/Tp2qU9U1k0kIBPCe5+np7tp6uvqtX72/97ccRV1x1UIHTkRhBUeguDgMqLoEuyscjlnGwgVlzF04k6/dVffOPOPUxPOrT3TibfNMjIxXr//+LQNzTzji2ewlb7ADb5uoYXvEHc2oNacqDw9UlLhqEkYsCZHOpQeqMxAduOX+FD793SKe2WT5BcMJwFYdSyKjlXHHUrXgsXK0IAMy7lRGgyxx3hIJ3cdAvV9wx8KYjfSEhBo4VMcyponLCnYetfTqM4tYcQCBeiJmFSYIFRYxoSoHY5q4MxBBX7gHHDHLwTc/OopPacCt92eEFQ8sOZccSXmt+SdITJ7iQBh84dMS6JAtmX2HE/AnlxXnlvlmxM8QEc4xHPyfk8u4+NxCOd999PUgWfznx5LP8QQ3FmBm3wz+2N82fedtZywfHNnXhS07W2G7esinacinqaJpR/JJlGBNNHjTCG5CvADcGhFNfIgOrLovjc9+r4BnNvvgbtC6o9SEUN+phDIzg+TfiIN6ErqRpKqg8ZForWPWeHLTnbA8lqMilRL1fZyvR0L2QDh5ldpmIma9uT8todTIuZzkSnbPkut9nZwxDcymWNDn4KsfHMXZx1eEeWVMsdaTPUT9nccAW2rmnMBhJLDkwoKTQDv3FKvOAaR1hv4WgqLRgsHyqYM7tz77nVJpxoSnekILDgCnv2Y+qpUxtBmPw7Zt8KwTdH4NmiHGopmB9ZY6N8KLgSgFDISEICeBBRfgphoDdGDV/Wl8/vsFPPXsROCmoSX3La0RUJPG5j2yCideAjYp2FXMxiTEhORBBe1T5+E89vME1lpZH+alCKseRAoj1jzUxMVMxHFrLrMMWQM3h599CD9PhSncXMzYGmbJwAaOmOngy5eMgnPgD3FLnjgY1I0YI0HHCo8ABvz6TRmEQ6iLCwvOASpUSpMSrNlSwCnGfJi5wqTndlKA55um1XW65v3HHFm4QXM2ZIOJP7n8ySejJ1E6QqSCEoBayoOqlfdAqODctz6Qwue+W8DTm81kcCNmvf26yGh1vO/LK06Mar0bKEnEYYyBOQ52eeuMXQHRt/uHuGzJ3UBPEALXP9WhHg6VfqgcnSgBJKKAXtASIRMqYJeyoVRXfNU5+A5UqCqgAOFaVGiwORbPdPDVD42CceC2B9KhLt74LWMrRJ9yDmGlud+xVpNAB4fu7yWdTA6CqguMOwT7Khxz53eVKzZ//+Lu9vpk55dOvnIXa+voe8RoPnH0niercNkwsumaIhWqllvJI4nkc3sKiNW87jAcr1purhPc9mAKn/p2AU8/6/cxSQzBR8FNSRjQUeXAxjzveAEv0BDogQQ7iYE92q5AQjkA/ES8JbYsxkKUFSRYGU+ljTqdiuVWLwaGCDdn0iFt0MiJMv+mUhCh0JWwz4oW0BXuv/aY6JjFbGDRDAdf//AoXruyBs3zGulK3OGMhfilA2orD9d3QD3/5sG4cE5H64BmjuP0Vw/iX9+1cnRO/4xHtu7cxw4a4JrVCc1o2nvfE/T8e9af6Vy1SoeuueB+5QgAxSorcp8aZlc4t0biXNxXT3zLzTWCOx+18PFvFvDMgMwv8WcmIHHnUnKOsEJHzfOOzmnZCOAgsINGSx4FeeOyALux7dTlBzp47BEsVxY2BDgRglat/lH7F4YhfkVRYSoPb1RXQqDTkIsrIOdM85UXDcwmWNjn4MqPjeCk5TVoTAV5XE1Jesh/1ldKFJB7/nekvlTrMQcXv3Y7rvzEQufoeePnd7QV987qa530vE4K8GzKwt+eGsCJS2dvO2XFkmdttx879uZQrZvw/MaNMsJJlHIzNXijqQ6l6nCS0HoT33L/8WELH/p6EesGTARtpsgETiUk2BGlJohX56jRyyTrPRFlaWy7lghoFfjxKyDcZL/gTgrfBxFLxPk2Cfh4XEqMWu1QMuQ+x1UBz4KLQTqU/n6MxhzTqCUPAO/Lh9wmmDvdwfc+OYJTV/iWPJARPf9ZlRUntuYS5I5MQ4AwWk0mw/Q8Q197HzLZ454l2uJttfKzICR98AAHANPQcOfdfxkwYb932YJj8PTGFtRs03cAQu4datrqs8KxVUD7D40waCYH1wn+/IiFj/5XEeu2muCJnDtmxWkU3BpJ7ue937IzNT86htFEZzNmyaPgjXb9EusnhjdveOG/Vcy4SkHCT+Ah8FmMpkCx2sqFEW/cGYKcItqeOVRRuLTkwRSGWrA8BLzISOR1grm9Dr718RGcvKIG6nminwNnIZiRpKo0qiw8AnLxG+UMhvkdBB3tK1Cpau99du3qAc4ndSHFxbG/DRbN60W1UkEqnd6x9unUfc+tf+r4jDUC03AjJWVqFmCof8t88BDkRHEwqcWxZVDH6r+ZuOyHeawbMMHNSTRuabVpmEgVUBOgoTpnQpoCmbjDEwCPRp4t+XfgiMYcTEQvDqUAKrJ+shFgmocHikQtSQh81cEUDipRtuGKLq5EOgMlhochfCq5u3QwhcwqrTv8/HJOKRgDAAaihaoLxCIAvvFwGOb3OfjOx0fwxR8xPPS4hS2DAEyE26pdBwJlxXcgFAPGCIVNRccAuARemWHGtDzypfn3tfeu3FForSGdmdx6A1Ow4ACQzmTw1FP3b9At8zv73D48snYfCK0Fkz+pMwfLiGQoA6pW3Q/gEAbN4li33cDlV+Xx4a8XsXbLfsCtyoK+Q6cFwOZKy4do22M1uUqCcirqSYO1V8L4cX6iOpwRNMeXJwE7HuxRAK8+I75c5dixXBZxoSjcWs7tg/BiYDzOw6XFDqvxucK/Q2suo5xazAkNLfm86Q6++6kRfOGSUczpdoB6grVm6jIlx5zZon0c8+BxoOYR1OBi4dw9uPC8XrS2Wt959LH7N0wF3MAULLgcNfQglyk8MuSM/G777p3n9O1Yg/4eMW12OmWDEE9ISsHvHlpvkSbr0xNw0BSwYbuOy6/O46Y/plHzKGDtD9xqX0Fx3Uem2SYJ2YJoVEkmWhZNfyXK9wg5eWREqAvBfk30AYwGUDdEJiGnsYkmaREJbD8zMGL95XIoyVgiZ4UgPL6IFIZFzH4pjr+PAH5QFq/moEgtgwDUZeho9nDhWRVYJseXvl/Axu0ALMVbJsF/738GC+VQ5ufgWiYo1TCjVMcl5/bhnNf1/w6p6Y8Aw1M+l1Oy4ACw7IiZKI85A68/5aSPHDm7/2bbnQbPI8hmatixr46qXYdp2oETSYhCRfwoJSEM1AQ2bjNw2dUF3PSnDGo4cHBLSVA4lEpuCVXoCGJ0Qz5TRHh1nH/LORyTCowbOHmcohAF8AeDZGXfeMGDunlURYk6lcGyhPwTWfXDVMvP/ZpK1aJD5qcoDqdiyeUsEoE1j1tyRuHVCCzGcf6pVXzxA6OY1e2IZJJAYWGKBfdfMxdwbBTT45jeNgxSrcEkDL1NeQyNzLoZqdd9xC7bA4TMOfQAB4BF8zpBqw9vWbliyZM93W0YHi/jx7dqeMeXW/DvP82jXBezmklXSEY0CfHETMUWwebdOr54dR43/tEHtz4RuGn4oCEqKUF0im1ErbdaYxnUiMbAKRMb5HZoWN8I7gZaokIyTrYP0JpL7h3h4bFntfAWCkDV9Q3daXn0eHFdPAB1rFMt80EdKi9qmRtV6IwCeBXkUkZ0gTQY3nJaFZd9YBR97Y5S/hY6lcE3ZwyFdA1fevde/OLSXXjv2TuRs0aRL03D7LmvevKOOx/eYuW6D+jcTpmiyFEstQPGjK82p/4y69+u6rng2tuAsZqFseFR7D6vjFmd4upHUMggwG1ziseeMHD1jVnc8KcM7AC4dGJgy20U1GiQeSaNPQXjPb0bStEQgrgh71t9rYA8YpFj1jvuaKoYP9ARADFCP+Q9WwE3USREycMJj/Br7m8QzB8PhBFBH/SME2hB3xVZvAzRck3pscIhJp6l4ILGEPVuQXwpjwafI64k8UQp4LkeLI3jgtOqAAOuujGLx9eYqEt6E5x40WSlvcRw6lINncU8PvNWF0sXcDy5s+P64487+qvPrN1ywOf1gCw4AOSKM5G2rxmx2psvemZT7/0zmzNYPp3ijBUclp5FpZYWfe98eYdqHFUQ/OwPGZzzyWZcH4A7yXITRPJLqCoPRguH5awCWiwsr1IJKlMJ1FRY8AZgh9JerO9gAjWJOJWJUmF03ymjO7ZxY89C+V5poxDZgUTuAKpFD46jWvgGSqIGhGjUkvtWPG7J47QlDBYplpxp8FwCwxMgX/WNIbzrrDKy1A8IQTYs1EHMLIbqzbj1L514Yt007BrswXGLOu8f8Xouuux7N40snN93wADXDngPAJdfsQpnvu4LzmuWzbtwbHBgZmfRwYoFFprzGjSNQ9dEA3rTclHhwM9XZXHpD/LYN6aDEb8ShyaBeyKagrBw2KcmOpHz2of9RNSqnYbJVpVtiLI8+kzChCwaXm/BxFw05OdyCmoZZQv7oITrCCF+TxMSbBfpjhWjU0kzSYTLlM9DdFljFiQJLmR1Wfyijt65eOTClQYiesUDSTnw4TNJUJTEPY9DZHNmUwzHHeVgcJzgmXUGHMefdUOzkLZSaEsZgJMB81LgWjvmLT5vw2lLMte88YxTDgaqB05R5DhiYT8YYw+Pnrxs5cCG1elsugzb0eF5fgcpzcWGXRSr7k3jKz/JY3hM95thyMbaauh9cnAHTqVisVVAy0KGqATIEyywwr0R+6EneU7k4sH7qOmNW20y4ZroiOaaJKgkPltR1wEKJydhOVdAJRBGNwn3CU+CssKJUqUPqaWL6QkpY+I4NLTykMEjX11hEFVCsgBZowAIA+N+lb5grKIbFedoznn4j4tHkdI5br43hw17NUATweu0DpQrHrbsNrFk2ZJqU+ushyMde18sgBcKedSq1UtPOP44/mR6/cdQ35bKpBykTAdpq46H11Jcdk0B9/w9jbqrCYSCBld0lGsnAVv8ihTJud00FsSJNO4JLG9cIYm+VnEXpychrhNC9vGTkehkTp2Jy6y5JKoSLGsAtgSyuluYZst5bN84qBlEgx4Z6KF+zaM8NoHCuQVnFxsxUIiZlQFBVwT8mFBcqIjSCzmWgUET4PYb/RDCwR2GUgb48vtHccZxdVz2Y4aHnrFQNyyM2hSb99iYPWda7ZhlK79Fqf5vmUzmoAF+8JcGgFQ6zYZ3/vmy7q7i1zo7m+1cpoZCtoyH1wKf/kEz7ni4hLqXBnQ5dUiCE5noXApkSsstk6iiabAhmBtv7dHaygbdW902CezxZRM5oKRhE/Ge48BHArCDFNgY3tVQvLSmcY4dLo8VOSDKwyMcnNNoHouSWRgoLfE5gFiYnBUtptCUds5+6RsXhROuZ8B2TGjUxOlLPXzt/UNYuWAf7GoFQxWOUke3nSu1f+1Xv73vskwmw/Z36iYbB23B5TD0sk2sjiuoucfetXPL5df8j05/90Ab/rYxD2QNiA6JMqnGL1aKgJs2PvwfNUyBDfO6G8rNEAWuOv1IkpOoprROSEviF0Ac8EnEgzQCfUpGXLHa8UzCYBPVeidQlMAyyyuLEzDOQEjYeiII+qggJzxyUcjqdw7h/4n8/2iyFwMF5cyv1IcfFBLLASjTrAiZRDalZTy8VDkn8JiOWl0HIcDSOS6u/NAYbrjXxm1/ncV6ezou7+vu/OZzu4ft54vPqd9HJxmb1/8S7SVr0W1/2f73d33xca3qZJFNaaAUqHpA3bEBtyK0z4CeKJabKq99pMgkKlmdE86CFu0IG8k3iU/BrQR+GpzK+HaKA6kF9EZptuk3zRQpAuHraANO/7XvdEoHlRA5IVV4nAYHN7LMn8iLht+LNryW28iiEv9cBOuifd0jjU/V9cprkeYgGzIltbtmkcxRteV1mH+k9nhXk+3Ea4CDcw22Y6FaT8NxdFDKkU3XUa7W8cCWN3q7K/OOsrTxpy5+6788b2w+bwsOAHXMRbolv97Kdn3gwrOLV//hzsdozvBg6QR7KgR7ay48x4FLuS/9QZEoksEtFZNI+B080iCTxpSChqaZSHiNqKUlJOTZ8j0i6xp5efxdgxYe3CGU9XHHULHawQuCBosun+NWXOXWxBe4BV8OeXlosXmUlpCQpwvHz5/MioqSMXAiGuxTwcMB/y7hW2sQmbvChOTNKChlkH2omDD/gP/EOfMb+YjUDk496MzAeCWDkfE0dM1DpWah1LGSnbTsyA9s2DdjfWt6z6GA5qEB+Lw5y/HXv6+3zzr11dfc/dBAZtGM0pW1kZ1oLpg4qaeOns49qNnjuGpVHtsH06LFcUBH5CNqudUkqmjTnpBTR7tU8QYAJzqYMQoSAaRKMyZYpwK6QRJreD31wSdZTlTQK5mFPGEZIuoIfOAr0U2EvVMC6gJxPiMUBggDPpBOqexRHhY2gwIcoi84KJWkBIwxEBpq6OAcms6wc4jhB78vYKRaRG+phP5OC1mrium97eCwPtHec8I1Zmq9V2pbdiigeWgADgBLj5qDjZt3eJ947+s3PvhQ59hdd/45nzaqWDKP4FWLTZRabejGGD53dcafXiTuVMbBHZ+YNca1404lQTJ/TipHk1BMcDQbUmKVh1gftdqx6+DgRpJFV5bLImQE1pNHZEMiX5PGPCZGAM1fEVpyxdJzBEpJUK8JcSymWnKiWHM/fwWgoIwLcQVMxG1UkCseLYXoBf/dG7P44U2dyBSKeM0cisoYQX9fB+a1nDjW1nfUxlp5h1dqm3uoYPn8VJT4KOTToKxy88nHL73k/HNP2ze/v4BizoZOgcoYxZ2PpcAj04vIHoIhLZGSoK4GccAbqnSSqEhSoCTJWYzuRxoscoNhjltsdbs4fTkIxKspsOJ9NAVW3S58H6v08WP40XwUhDkuKkWRz5GkK7/SXY2AKgoLm6DMjSmKS7idfE3hebJxkAbmajjlGAfpPIPHCPaNOBirpTFr3on7pk1fesmuPfbNmn7wkmDSOGQWHADaWpoAAOXy2HXLV6zUO5vdr9rDN7eN1sZxz6Mp3PdUM2BmEMyZ40uBMmFKzRCkUDrckRjvRtR6S6oicRWuj27boJ4k8W1/gyT+jfj7BKA34HoSoAfWt2FFbL8Efh6oKTGdXOavRPPEZRs0QbiTrbi4a4W5KuGdIKQwJKRCkBcmhywt8xVyMCanKOGgMpLJAV5P49iFdZy9chh3/c2Aa3bhuNecsGf5imM/Y9vOdV3TOg8lHAEcYoDLkc3m4dgjP+2ft5KuXv3MV771851tD6zNAyQDw6DwZOKUpCCIqSJoTJZq6OUNNbc7yWJHU2Yl1qJUhUS2UelJsANiB5HHCY6A6IqGhQc4YiAOkqti2/hYVQvxg2CRBKQ8RNzZJCBB9FKVCBkN57QkHKL1sh/8kU6oTKqikH1bwgho8HmA6HNIAE78HiyMwnEMUJrCZ97q4OSlezDKX7XntJOO+1y54vy0tWXy/iYHO14QgAOAYRbxpe9ed43nFb3R6lH/VdK2N6fzBLsrFDXOg66vqiqiZvpFHEnSqJpMNBNDMg1ppCpQlvm/k/o04YWhjgldS06U4x0Y2lUwS3BGOLYC7lBJ8S0zFE4NYbkJiVtrXy9XqYu/TaCVy/+BcwTtfuRnq63k1LuJ/5L535/4nyFabwi5kTEdIyNpVGsaTlrSuq+p3f00sX/2s1LHJS8UDA8u2Wqq4+7bfos3nX3BE7O681unt9EzRkf2WrsrNjymIUsJUn5FTtwiy+eopi3m1gmtOI/kfqt6cuTCiFv+4Bgksiz6msSWh8lTwR2DKolOsYQqSpVkKzXxSnlO6oOYFGFNyosJ18USt/yVUZ8jvMSovyK4A8V8E4AEd7/Q0eaRbcU2SbM9q7eecEpxxoUJ06kLxutYN5DDqHvkmJ6afcl4OffLnrkXHUzcd8rjBbPgckzv0BlI7vq+DuquWFz/+YZtj6S+cVMvTM+ApTE4jMD2RA8MebJktDK01kroXXlABYH6Y8UfSduoGyB8PZX+3lFLPrFZJ5McQw71152Ik0sqEGwdmHSEFEa17HFZEQLowZz2iFlx37JDUVkC1YUo/cj9fyNUXkKN3Cc+ynehcF3hZBo6Q9118M3/p6O9dU7t6AXd76nUW27aPVR5XmH4qYxDqqIkjfPf/GYsmlXz3nTiopumTWu5sM4X1fLEQ1feQ8ESVlhOQydPTxzMjQpJtKA4CuKowhIJocdoSeQCgILNyMVCGraFul0M7AdDw/kkK1SFRaoicmEkqSrYJto/peEz1KIIyO1V7VvNTYm1XkajigKESkxwFvxuCoxRjFct7BnOoVyxcMKK2bWmluYL126dc9NDTw55r339G18o2AXjBaUocnz/hzegecExfOHJZM2Tf21f29NsnZXVxgwQYPsYMFwncEFCJYWq9EOZnUGGoZOoxySUpNFZJY3bxqiLSj+SaEkY2g9zxYlKTegUKYrid+yXqsgLNrY8cIz9Cx4N+wfkQqE5JHqhE+Viji2PXLg+hYnSKx4AW/SM92AZLlyPYPOOPJ59LoNMfk5l7qzud3XOf+6mBV172bnnXPRiQO/FATgA3L7qZszpfTs+8+6xp22nc1N7CzntmDk7UpnsXqzdTFB2DVgaheln1oZUJQrSeA5JNPjDk4FO4xcAie0XgjsS+qfhMnUdVfk3ieacNII5GeD7fSAB1LEHMMHxlOWQfFkBb+R1ZBvlYpEAD5aFzwTwKwmVIgl/pa55SJk2OMr49b0Etz+YQ1tr94ie7nvfmz40dP37Xt+PI5e958WC3QvPwdXx0Uvejnl9v8IDm9h/F6we4+Qji9887di7WzjfgWv/NAM6sWBJqSoWrKCq9aYJTlh4moORvLzxxwsdqCigooQ6gaIo7zmS/4epjkaaQhqXqjq2/J8VqTBYL1UTHn7HQHTxVRR59IZtfDmRAEHGoAznU7+OUigzLCjYFtmBooZT1xgAF7/4M8GP75iND79l4eBbTnU+3lra9d+1ejsWL3/roQfWJONFBTgAvO7stwMA6rWhawFD1+uFK05c8pu239zlIqcbKFgMtkcwVqfgAAwtljGnghsq0HkEYHEOHixX1qvrVD4dAWpwnKgHqN76g205olfVgQyevF9SLor4LF/XJsnrI4lVXIJSglyAN8yulduQQN3m0pskBPDTaKUHS4kodqD+RAWAhkrNgFsnwW+xZls3Lnjja/dc+ObjPlutu9eSYvFFw5g6XnSAy2GlSuB8+CewXkcKHeZXOlofaNPr4+goaDBTwMBIHRt3mWgyCUxN8HDdB7gcEQUCE9/iVTrRKKNFrXUU1CrY46YbDe8nUk2mEq0kmBDjUZXE3zgaDxIWO7KOqCF6qXj41jlyhySKJh5yayDqiIKLEjWN+zPncUFHMukaNu80sGtvHoamo5Rn6OrsxMVvO2vPtN7jPzda4T/p7Tw84AYOI8ABgJAmPLu9es2cOae7n7ioeOV999xbssgYjpxjw8wN4tu/z2LrtiKKlrDkpi5oCudimgsV4XHrnCQbyu0aFir7qAGayD7SgBPSQEvUyOdUpMEJRyyY0yAbBtmCCtBjFEMNDEH5P1UrHkiC8CctVj/XvyDUImRJQTgn8KjQu3SNIGV52LTTxvd/m0aKGDhqtoWFc1qRbXvV0IyeZZ8itP5zQpoOB7SCcVgBDgCzpqXhOvZ1HWcu3WeP7ervasXXst49xsyeMu58HNi8pQhTB1Imh6WL38zxAOZyMT21PFDgdE2kPJCIVU4Cf+xQU1r2vPDM93dBkMCqRvbxP1xNUQmPFRYdy0gkAVd0a0lDSJhOK6XF4IpW5kIF4DIC16VwPAoCCmYKrm1owDNbCP74uIVZJQ8nHXeUkykan863HbfRY5k/GNqLpmFMOA47wAFAN0y2dcvGm88++1zTLf+jYnpjV9336BBZ/UyKFtIcWZMjnyZIm+LHHK8AVVsAnfrUJYmiADG+TSYHaiJgYysSHclJQPq8LLo/Ajqh0oeEj1UyapPXA0H+iuTiYV5KqKmLcyZbYosvOF6hGK0YAAcyKQ+UAGMVE0vnjuLkZYT1dB7Lu3vnfnD5sfN+tnHzTnvB/Km3V3shxwse6Jnq6J3ej1Jqvd3e3nJd55zuhY8+d+y/5wv9yOgO8mmOpixFW5OB3nYTXPOwZYRj3Kai3Z3v6atKSDQcThoin+JNVCYL5bhYvxGE3N3fLDoSIjVyn/2NiFq0340R5oYAUFNdZVBHDf5Esv6C9Fd1P781m08/5Hp5nnSdIW3Z6GgZBiMVDOzUsWufgX2jBkbLBobHKHo6ZuEz75z578XW/oXNLR3XrX58+0sG3MBLxILLkWk6EgCqF//Hjeu28GVXnL58q1keyl9aHnpOy6cZ2koGejoYFs+vYOR2F+u3tmAaJWKSRQXUMiik5noDMQkxQRqcbBA+yTYRLB9oehUiIXeiLONTu0bCw8RoinQmpTqiHkv0DOeQ02fDF0lk51kCDp0yFHMVrNtRwa/+nIXuOuhq01GzCXQ9g+6e6Z6nF/7zmFfVr1gy9+8ebX71oQHCIRyHnyQljL/e9Wu857yz+eWfvODuW37zSyuX1VaAlfVS3kZvRwXLFw5DMyq487EiiikgZYgenjoVTbOE2kIigSAgSVWRQSASCQapSUxBlLLBuofFw2F0crLAzuSBHiT9nxP8z5E7ibKPGrCRQE+cZItAUVeiVjsMcAGGwZDP1HDVKopbH2pCSmNIGQSlpmYsOGJF/chlb/h6c9fxX7j4He/kxZ53H27YJI6XlAVXx2c/eB5GRkahaeTSU085iS6aP2PlmidupdM67JXb9ozrv76rCWmDIGMymHo001DTCHT/PeNQmr+HuS1ACIKJqEfcskcc1bh3i4llvqmMifYLdG0SUo2AQwNBEYOqsKgKjKQi4XQz4XFFxp8vn2ph1bzrib4mlIr+JeedMIR7/jEOZvS62Xx69RlnnsVmz565um6zSyuVcWQyucOKlcnGSxbgAFAsBknwnxvccj1OOn5Bvlpt+9HTD5G37B6yaXvaRSlLQAmB7QLwq38MDTB0AUbP46gzhM35KQnoRmAhEdW7o7hO7nglRySC+XwQnnRw9TMiwrcP6tg24HHr7KspUFIYqB/I4QSuQ+F4MnebQdNIsK5S1VGt6yBwMHsaxzvO6mV19+gbC9nSxf+z+rmxzx9z9IsBgec9XtIAV0fL9AuwcdMzY03FxR9qmbZww8nL/3FEQRs+Z2j3AKhGsG47B/cILAMwDYJMikKjBGMVhnqFwfXErdcAh0ajdEHN9VDVkjiwk0ZDEOkgv19Ev0ajajLRPiq9EPuFGrc6I4ScDc/QxbQzjqthvGJgtEKhUQ6eBiyTIW258JiHdVsycB2CzOJFSBfo7973luVPOrTv24RXxqZ1zj/MaJj6eNkAHAD6Zy4AgL2bNm35wlc+Obdv/foN2LNr4zle9VGsvWEvhkazaMlrSFsUxZyOUoFivFrHln0MlQpFMcMjof6Grq6qtZ6K40ni70mDeQ8ML9n/MVQ6QuT+hIgurxMMmSsuc7N9ew0m92HEz+0hoITBNDwUcnWMVxgeWweMlVMo5QkIocilCXLpCp4bHMHqNfNx1klHob13zu+aeud8tFIpD7S3Hljz+ZfCeFkBXI6ZM6djaGhoYPHiRZ/a15W5Lp/q+sjqgadPePChTSCkjFzaRHNRx/QOhv7eETimjVX3tMCyKdImExKYRqDTqMqCuDWfoj2OSI8NgwflYJFgVEyuDLdW2Idv0RssOUE0SKREHwOe7rd2kAlRmiZoTcr0kDIruO0RB7esttDfTsGYAV2jyKUYiJ7H/AUL8IbM8ffO7Mx9e3pf/xPVmjvQ8jIEN/AyBTgAlEolANjgeHyDTvHkjD6364Rjjvrh1oENs3c9t0ZrLrhoKdYxt3ccc7e5YGiCy3RQSmDoBKZOoGtCQfAYF85W5BNCJQWQmnJYvhVupfxV7gThPtKCNxL0OP+PO5RJlD5Uu5X/i0T3l86158nvJ1J8PSboCIiLjduADdsoCpYLy2DIpLM4une51zFzxoZSfvB9sxcftwPAOrI/jvYSHy9bgMthCMdo3a7dg+s8zzuzqzXTXThx2Y3Pbby3UEytzdpuDdv2mvAYgamLcH/a8jm6RmE7DG5dtDoI+wZG802CFxJ4ivUMg0okCu6ATMsGmIoch2hNpvo5MmgFYEKrH/cNuHJg4juS3COwHYK6Q6BrgisZBoXtUhQp0NHqwNEc2GhG38zu8r+84eTRlOGdny/1bGNUG3i5A1uOlz3A5ehobwFjbKCrs21reby8qCnnHFvKH/Ojpzf8I/f05i1NaTqKXNpDyoTg6HkD2TTBeMXGyHYPjkuRssQJ8fvuAwgTkMSbsC5RHUERBFX28WvwuI9SWSsZgJSG9AHwpUwp9Pj/g3pByGeZNiw/hynHFU0/GVIWg+tybNujYbRMkE2LiVw1jWA8baC9OYWL3pAb655x7L5pHUv19ia8d+bMGQ9ms7kRgLPn03D+pTZeGZdpbNQrWwEY1EzdQEbK737X7r3lj//qxjvs3dsHSFqvz8+kkMql6pjdUwXR9+CXt2cwPJxDRxNHOkVh6OK0eAxwXB5IjJQSaFQARb7WNQJdo9A1CurLbK7H4LoMnhcGTnSNwtApdJ3A0EVgSjq8LgMcF/D8ymtKEWyja4CmCedYfDYXNAOAxwgch8D1p7kxdY5MiqGj2cG+8VH84g4AbgYzO01M7y6gpUmvTe/S1/TPmmZMm7n0utKx7//GrT++1prVnavVbZfN7Z92uH+6Qz5eMRZcHVamFwDYaNmBrtOfpCznp4au4YSVi7TmUv4q7tlz3erAa1qza7X7nyJYt91Aq+WAUA2WSWEaopS5Znuo1RkcT+jIBkSEFACCiVkhIp0CuIKmVOsUNdeD7TJQIpbLNF8CAVRDA3RdWGNiE9RtoGYLB9jQRbtlaGEUEgDgpyCYulhmuwTVGlC1BTFiprggHMfFvOl1zJ5JsWZjDp3d3d6RR/ffX8yn1zF3/AMgox6lWQw9+FOeys2qHO7f64Ucr0iAy1HIGvKlvNu7Y2OjFxNqlZi958uD2xxz5DHm9XZ1HTOnE0vhDkEjNtIWh2lqqNYYdu5jGB4HSllAT/s9T+BPEMZ5UJ9pGATZFJBJMQyPedi6ywNjDJYho4Lczw8Rlt80OFIWQ8rk8DyGnYPA8BhHOkWQTes+yMNpRLk/hyohYr9SwcbgCMHADhPlKgG4B8sEzI4srFw7WlpKf50/a/gxLTVHu+DNr7Vn9LZ8vlypDzU1NR3un+VFHa9IinIg47e33AUCnMCYc4ZB6+eD1edxr4rxoXUgqOPhtXtx+0McLWkTMzoNNBcteAwYK7tgnCOT0lDI6SjlNbQUGXo7atg9WsYPf28hp1M05wlyaYpMSkMmrSObosikgWyKIZ/10FK0kU6N46pVJoYHTXS3UpQKBkp5HcU8Ry7NwBjByDiBxwmKWQc9bWUUC4O467EM1m9pRco0sXzJXBQKWTQ3Zdb2dKZvTKf0OzjHvTPnnXi4T/FhHa9oCz6Vce7ZJwPAvaOjw/cCuM9z3f7y+D629m9bWWtL18yjjpn/2Z7eTdg40IycNojm7Bg8XsfDa1wU0yY6mjlyaQpDI8ilXXQ2V2BjCHsrLeCGhXyaw/UEn+eMg/hW2dABy+AoZB3kcqPYV8li15CJQtpDNiXaSmcshvZSFZYxht/cnYbnWliysBldPV14anMzMm3z0W6PXzE2Orhp5atX0rbWZmoaxkYAt/sy6j/9+KcHuByFQhMA3C7fu7VdAEk3adi42gPDnWbJOaJ/8cdai97pnFRhtDP86d6/w2HjMK0UcjmKYoEgn3WgD4/DruVR8TS4LuA4DGPMhUYN5LMMBuVwXQ7H8UBQB0UF5RrFmNMMqunQdB3plIGWpjpmTM+gvftY7NMKoNxCe7P+x2Lz0JXjG9uMIxYsxTvP77t3rFwbntXXerhP4Uty/C/AJxh6qgMAhgGsAoDBvbvAgTWm5nSA2OwEneEvf90E4tZg6DpMUwNjdaerb8Vlo2T32SeuLDgFw0JPC4FhUFRqDKWCjs5mDc1FD+UahaVzNLVVkE5144Rji8bgeO8tIxsfukzT04au60hZLnI5A4W2JVhyVA4adJpJ67s4x6Z//b+HvtXwK3H803PwQznY2B9ACOlY8+yW4rV3pHnBMNFVotA0gtGyh1JBR3szRUvBw/C4BkMDulqrsKwh/GZ1kXBr7gg42/WRt730CgderuP/A+AIo5+dVZz2AAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE4OjAzOjA1KzAwOjAwPeODJgAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxODowMzowNSswMDowMEy+O5oAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 51944149
    {'hecke_orbit_code': 36028934491473744, 'n': 1, 'trace_an': 2}
  • id: 51944150
    {'hecke_orbit_code': 36028934491473744, 'n': 2, 'trace_an': 0}
  • id: 51944151
    {'hecke_orbit_code': 36028934491473744, 'n': 3, 'trace_an': 0}
  • id: 51944152
    {'hecke_orbit_code': 36028934491473744, 'n': 4, 'trace_an': 0}
  • id: 51944153
    {'hecke_orbit_code': 36028934491473744, 'n': 5, 'trace_an': 0}
  • id: 51944154
    {'hecke_orbit_code': 36028934491473744, 'n': 6, 'trace_an': 0}
  • id: 51944155
    {'hecke_orbit_code': 36028934491473744, 'n': 7, 'trace_an': 0}
  • id: 51944156
    {'hecke_orbit_code': 36028934491473744, 'n': 8, 'trace_an': 0}
  • id: 51944157
    {'hecke_orbit_code': 36028934491473744, 'n': 9, 'trace_an': 0}
  • id: 51944158
    {'hecke_orbit_code': 36028934491473744, 'n': 10, 'trace_an': 0}
  • id: 51944159
    {'hecke_orbit_code': 36028934491473744, 'n': 11, 'trace_an': 0}
  • id: 51944160
    {'hecke_orbit_code': 36028934491473744, 'n': 12, 'trace_an': 0}
  • id: 51944161
    {'hecke_orbit_code': 36028934491473744, 'n': 13, 'trace_an': 6}
  • id: 51944162
    {'hecke_orbit_code': 36028934491473744, 'n': 14, 'trace_an': 0}
  • id: 51944163
    {'hecke_orbit_code': 36028934491473744, 'n': 15, 'trace_an': 0}
  • id: 51944164
    {'hecke_orbit_code': 36028934491473744, 'n': 16, 'trace_an': 0}
  • id: 51944165
    {'hecke_orbit_code': 36028934491473744, 'n': 17, 'trace_an': 12}
  • id: 51944166
    {'hecke_orbit_code': 36028934491473744, 'n': 18, 'trace_an': 0}
  • id: 51944167
    {'hecke_orbit_code': 36028934491473744, 'n': 19, 'trace_an': 0}
  • id: 51944168
    {'hecke_orbit_code': 36028934491473744, 'n': 20, 'trace_an': 0}
  • id: 51944169
    {'hecke_orbit_code': 36028934491473744, 'n': 21, 'trace_an': 0}
  • id: 51944170
    {'hecke_orbit_code': 36028934491473744, 'n': 22, 'trace_an': 0}
  • id: 51944171
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  • id: 51944373
    {'hecke_orbit_code': 36028934491473744, 'n': 773, 'trace_an': 0}
  • id: 51944374
    {'hecke_orbit_code': 36028934491473744, 'n': 787, 'trace_an': 0}
  • id: 51944375
    {'hecke_orbit_code': 36028934491473744, 'n': 797, 'trace_an': -76}
  • id: 51944376
    {'hecke_orbit_code': 36028934491473744, 'n': 809, 'trace_an': -36}
  • id: 51944377
    {'hecke_orbit_code': 36028934491473744, 'n': 811, 'trace_an': 0}
  • id: 51944378
    {'hecke_orbit_code': 36028934491473744, 'n': 821, 'trace_an': 0}
  • id: 51944379
    {'hecke_orbit_code': 36028934491473744, 'n': 823, 'trace_an': -48}
  • id: 51944380
    {'hecke_orbit_code': 36028934491473744, 'n': 827, 'trace_an': 0}
  • id: 51944381
    {'hecke_orbit_code': 36028934491473744, 'n': 829, 'trace_an': -4}
  • id: 51944382
    {'hecke_orbit_code': 36028934491473744, 'n': 839, 'trace_an': 0}
  • id: 51944383
    {'hecke_orbit_code': 36028934491473744, 'n': 841, 'trace_an': 14}
  • id: 51944384
    {'hecke_orbit_code': 36028934491473744, 'n': 853, 'trace_an': 0}
  • id: 51944385
    {'hecke_orbit_code': 36028934491473744, 'n': 857, 'trace_an': 76}
  • id: 51944386
    {'hecke_orbit_code': 36028934491473744, 'n': 859, 'trace_an': -56}
  • id: 51944387
    {'hecke_orbit_code': 36028934491473744, 'n': 863, 'trace_an': 0}
  • id: 51944388
    {'hecke_orbit_code': 36028934491473744, 'n': 877, 'trace_an': 0}
  • id: 51944389
    {'hecke_orbit_code': 36028934491473744, 'n': 881, 'trace_an': 28}
  • id: 51944390
    {'hecke_orbit_code': 36028934491473744, 'n': 883, 'trace_an': -104}
  • id: 51944391
    {'hecke_orbit_code': 36028934491473744, 'n': 887, 'trace_an': 80}
  • id: 51944392
    {'hecke_orbit_code': 36028934491473744, 'n': 907, 'trace_an': -24}
  • id: 51944393
    {'hecke_orbit_code': 36028934491473744, 'n': 911, 'trace_an': 0}
  • id: 51944394
    {'hecke_orbit_code': 36028934491473744, 'n': 919, 'trace_an': 48}
  • id: 51944395
    {'hecke_orbit_code': 36028934491473744, 'n': 929, 'trace_an': 0}
  • id: 51944396
    {'hecke_orbit_code': 36028934491473744, 'n': 937, 'trace_an': 20}
  • id: 51944397
    {'hecke_orbit_code': 36028934491473744, 'n': 941, 'trace_an': 0}
  • id: 51944398
    {'hecke_orbit_code': 36028934491473744, 'n': 947, 'trace_an': 0}
  • id: 51944399
    {'hecke_orbit_code': 36028934491473744, 'n': 953, 'trace_an': 12}
  • id: 51944400
    {'hecke_orbit_code': 36028934491473744, 'n': 961, 'trace_an': -138}
  • id: 51944401
    {'hecke_orbit_code': 36028934491473744, 'n': 967, 'trace_an': 0}
  • id: 51944402
    {'hecke_orbit_code': 36028934491473744, 'n': 971, 'trace_an': -104}
  • id: 51944403
    {'hecke_orbit_code': 36028934491473744, 'n': 977, 'trace_an': 0}
  • id: 51944404
    {'hecke_orbit_code': 36028934491473744, 'n': 983, 'trace_an': 0}
  • id: 51944405
    {'hecke_orbit_code': 36028934491473744, 'n': 991, 'trace_an': 64}
  • id: 51944406
    {'hecke_orbit_code': 36028934491473744, 'n': 997, 'trace_an': 12}