Embedded newform data - 1584.2.o.g.703.2

Formats: - HTML - YAML - JSON - 2024-10-12T07:04:18.153091

• 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': 6336, 'analytic_conductor': 12.648303680170812, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 44, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 15, 'char_orbit_label': 'o', 'char_order': 2, 'char_parity': 1, 'char_values': [1584, 2, [991, 1189, 353, 145], [1, 2, 2, 1]], 'cm_discs': [], 'conrey_index': 703, 'dim': 8, 'field_disc': 454201344, 'field_disc_factorization': [[2, 12], [3, 4], [37, 2]], 'field_poly': [169, -182, 128, -12, -25, 24, -4, -2, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [-2, 2, 1]], [83, [2368, 0, -128, 0, 1]]], 'hecke_orbit': 7, 'hecke_orbit_code': 27022559870453296, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 256, 'hecke_ring_index_factorization': [[2, 8]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 11, 2, -1, 2, 0], [1, 1, 44, 3, 1, 2, 0], [1, 1, 4, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1584.2.o.g', 'level': 1584, '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, 11], 'level_radical': 66, 'minimal_twist': '528.2.o.b', 'nf_label': '8.0.454201344.7', 'prim_orbit_index': 3, 'qexp_display': 'q+(-1-\\beta _{1})q^{5}+\\beta _{6}q^{7}+(\\beta _{3}-\\beta _{5}+\\cdots)q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1584.2.o', 'trace_display': [0, 0, -8, 0], 'trace_hash': 955860584202084183, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.053', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.046', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.658', 'prec': 17}, {'__RealLiteral__': 0, 'data': '465.566', 'prec': 24}, {'__RealLiteral__': 0, 'data': '701.281', 'prec': 24}, {'__RealLiteral__': 0, 'data': '41165.218', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.759', 'prec': 17}, 'traces': [8, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, -16, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 232, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -736, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, -464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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], [-1.2218102647414413, 0.0], [0.0, 0.0], [-1.9417335717421342, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5669614693387458, 0.8237443124448571], [0.0, 0.0], [0.0, -1.4248429021478193], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9121272337540539], [0.0, 0.0], [0.8627859873520194, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.2643856829139167], [0.0, 0.0], [0.4928203230275509, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.3592106040535498], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.3724300093476014, 0.0], [0.0, 0.0], [0.08810115176992976, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.6046367219120379], [0.0, 0.0], [0.5735161549487386, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.6120717374619725], [0.0, 0.0], [2.770329263630466, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.4741605512536444, 0.0], [0.0, 0.0], [0.6927193429509696, -1.0064592564675074], [0.0, 0.0], [0.0, 0.0], 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• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 6336, 'analytic_conductor': 12.648303680170812, 'char_conductor': 44, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 15, 'char_orbit_label': 'o', 'char_order': 2, 'char_parity': 1, 'char_values': [1584, 2, [991, 1189, 353, 145], [1, 2, 2, 1]], 'conrey_index': 703, 'cusp_dim': 264, 'dim': 30, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 83], 'hecke_orbit_code': 962106230320, 'hecke_orbit_dims': [2, 4, 4, 4, 4, 4, 8], 'label': '1584.2.o', 'level': 1584, '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, 11], 'level_radical': 66, 'mf_dim': 312, 'mf_new_dim': 30, 'num_forms': 7, 'prim_orbit_index': 3, 'relative_dim': 30, 'sturm_bound': 576, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -276, 0, 0, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, -300, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -138, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 324, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 174, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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: 45925795
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 27022559870453296, 'source_is_minimal': False, 'source_label': '1584.2.o.g.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27022559870453296, 'target_is_minimal': False, 'target_label': '1584.2.o.g.703.2', 'target_level': 1584, 'twist_class_label': '528.2.o.b.175.3', 'twist_class_level': 528, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 45925796
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 27022559870453296, 'source_is_minimal': False, 'source_label': '1584.2.o.g.703.2', 'source_level': 1584, 'target_conrey_index': 175, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4504561733599760, 'target_is_minimal': True, 'target_label': '528.2.o.b.175.3', 'target_level': 528, 'twist_class_label': '528.2.o.b.175.3', 'twist_class_level': 528, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 45925797
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 27022559870453296, 'source_is_minimal': False, 'source_label': '1584.2.o.g.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27022559870453296, 'target_is_minimal': False, 'target_label': '1584.2.o.g.703.3', 'target_level': 1584, 'twist_class_label': '528.2.o.b.175.3', 'twist_class_level': 528, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 45925798
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 27022559870453296, 'source_is_minimal': False, 'source_label': '1584.2.o.g.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 27022559870453296, 'target_is_minimal': False, 'target_label': '1584.2.o.g.703.4', 'target_level': 1584, 'twist_class_label': '528.2.o.b.175.3', 'twist_class_level': 528, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 45925799
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 27022559870453296, 'source_is_minimal': False, 'source_label': '1584.2.o.g.703.2', 'source_level': 1584, 'target_conrey_index': 175, 'target_dim': 8, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4504561733599760, 'target_is_minimal': True, 'target_label': '528.2.o.b.175.8', 'target_level': 528, 'twist_class_label': '528.2.o.b.175.3', 'twist_class_level': 528, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 45925800
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 27022559870453296, 'source_is_minimal': False, 'source_label': '1584.2.o.g.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 18015360615712832, 'target_is_minimal': False, 'target_label': '2112.2.o.e.703.5', 'target_level': 2112, 'twist_class_label': '528.2.o.b.175.3', 'twist_class_level': 528, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 45925801
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 27022559870453296, 'source_is_minimal': False, 'source_label': '1584.2.o.g.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015360615712832, 'target_is_minimal': False, 'target_label': '2112.2.o.e.703.2', 'target_level': 2112, 'twist_class_label': '528.2.o.b.175.3', 'twist_class_level': 528, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 45925802
    {'conductor': 33, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 27022559870453296, 'source_is_minimal': False, 'source_label': '1584.2.o.g.703.2', 'source_level': 1584, 'target_conrey_index': 175, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4504561733599760, 'target_is_minimal': True, 'target_label': '528.2.o.b.175.4', 'target_level': 528, 'twist_class_label': '528.2.o.b.175.3', 'twist_class_level': 528, 'twisting_char_label': '33.32', 'twisting_conrey_index': 32, 'weight': 2}
  • id: 45925803
    {'conductor': 44, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 27022559870453296, 'source_is_minimal': False, 'source_label': '1584.2.o.g.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27022559870453296, 'target_is_minimal': False, 'target_label': '1584.2.o.g.703.1', 'target_level': 1584, 'twist_class_label': '528.2.o.b.175.3', 'twist_class_level': 528, 'twisting_char_label': '44.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 45925804
    {'conductor': 132, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 27022559870453296, 'source_is_minimal': False, 'source_label': '1584.2.o.g.703.2', 'source_level': 1584, 'target_conrey_index': 175, 'target_dim': 8, 'target_embedding_index': 7, 'target_hecke_orbit_code': 4504561733599760, 'target_is_minimal': True, 'target_label': '528.2.o.b.175.7', 'target_level': 528, 'twist_class_label': '528.2.o.b.175.3', 'twist_class_level': 528, 'twisting_char_label': '132.131', 'twisting_conrey_index': 131, 'weight': 2}
  • id: 45925805
    {'conductor': 264, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 27022559870453296, 'source_is_minimal': False, 'source_label': '1584.2.o.g.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18015360615712832, 'target_is_minimal': False, 'target_label': '2112.2.o.e.703.1', 'target_level': 2112, 'twist_class_label': '528.2.o.b.175.3', 'twist_class_level': 528, 'twisting_char_label': '264.131', 'twisting_conrey_index': 131, 'weight': 2}
  • id: 45925806
    {'conductor': 264, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 27022559870453296, 'source_is_minimal': False, 'source_label': '1584.2.o.g.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 18015360615712832, 'target_is_minimal': False, 'target_label': '2112.2.o.e.703.6', 'target_level': 2112, 'twist_class_label': '528.2.o.b.175.3', 'twist_class_level': 528, 'twisting_char_label': '264.197', 'twisting_conrey_index': 197, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2055200
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 27022559870453296, 'p': 2}
  • id: 2055201
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 27022559870453296, 'p': 3}
  • id: 2055202
    {'charpoly_factorization': [[[-2, 2, 1], 4]], 'hecke_orbit_code': 27022559870453296, 'p': 5}
  • id: 2055203
    {'charpoly_factorization': [[[148, 0, -32, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 7}
  • id: 2055204
    {'charpoly_factorization': [[[14641, 0, -1452, 0, 86, 0, -12, 0, 1], 1]], 'hecke_orbit_code': 27022559870453296, 'p': 11}
  • id: 2055205
    {'charpoly_factorization': [[[148, 0, 32, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 13}
  • id: 2055206
    {'charpoly_factorization': [[[592, 0, 56, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 17}
  • id: 2055207
    {'charpoly_factorization': [[[592, 0, -56, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 19}
  • id: 2055208
    {'charpoly_factorization': [[[36, 0, 24, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 23}
  • id: 2055209
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 27022559870453296, 'p': 29}
  • id: 2055210
    {'charpoly_factorization': [[[4, 0, 1], 4]], 'hecke_orbit_code': 27022559870453296, 'p': 31}
  • id: 2055211
    {'charpoly_factorization': [[[4, -8, 1], 4]], 'hecke_orbit_code': 27022559870453296, 'p': 37}
  • id: 2055212
    {'charpoly_factorization': [[[2368, 0, 128, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 41}
  • id: 2055213
    {'charpoly_factorization': [[[592, 0, -56, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 43}
  • id: 2055214
    {'charpoly_factorization': [[[676, 0, 56, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 47}
  • id: 2055215
    {'charpoly_factorization': [[[78, -18, 1], 4]], 'hecke_orbit_code': 27022559870453296, 'p': 53}
  • id: 2055216
    {'charpoly_factorization': [[[576, 0, 96, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 59}
  • id: 2055217
    {'charpoly_factorization': [[[1332, 0, 240, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 61}
  • id: 2055218
    {'charpoly_factorization': [[[108, 0, 1], 4]], 'hecke_orbit_code': 27022559870453296, 'p': 67}
  • id: 2055219
    {'charpoly_factorization': [[[6084, 0, 168, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 71}
  • id: 2055220
    {'charpoly_factorization': [[[2368, 0, 128, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 73}
  • id: 2055221
    {'charpoly_factorization': [[[148, 0, -32, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 79}
  • id: 2055222
    {'charpoly_factorization': [[[2368, 0, -128, 0, 1], 2]], 'hecke_orbit_code': 27022559870453296, 'p': 83}
  • id: 2055223
    {'charpoly_factorization': [[[-108, 0, 1], 4]], 'hecke_orbit_code': 27022559870453296, 'p': 89}
  • id: 2055224
    {'charpoly_factorization': [[[-8, -4, 1], 4]], 'hecke_orbit_code': 27022559870453296, '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': 15, 'hecke_orbit': 7, 'label': '1584.2.o.g', 'level': 1584, 'portrait': 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sb4yhBrQZwGLHYkg5FP4AmE0cxNadZNpix1QjoDwTDxWe4LNk5qFtuaY2cVNT9g4wxsnYvYMDtk/eyIjbMjtm4wbN+ouHybT101OXxsgi8/F/DEvoRnjsakqss33drmna801NUs+45OcfiUx8lzKWcycB9YMNx45Tw//55ltq2b5NS5Kc4t11hs+yy1JSvdlE4vpTeE/UcW2X+ic/lT+86++vCx0xccOXn2sze/4VujB+766EsNia/q9g+awZeW2ySJQUp+5f4nDrzyZ/7738h3v+rwK//1t5705pc2stSeYLHdYLEdsNj2WGzDUjtlqR2zuJJyZgUOLgrm1q3wi9+7yMsva3D87AynzjU5teBxdtFwZiHhxHzKuW7C1MyQV13d4xW7IJB1QhVydqnG6QWPM0uC/giSRFMLNM1ayvRkggaOnkno9GDHBp9mfYQxAkRAb6DZvnHE4ooHxkqRlR6MEjAYltoRW9b7dAcKoQxCj5io+WzfNGSlLzh6yiPVHrMTklZNEPqQJIL+SHJmSXJ60XB2OSEMh+An3HxFj1deKZibqLO4PMHxsyGnFuDsQsLZpYSTS3Bw0XDDFQv80vcus3FqgmNnZjizWGd+OWChLVlaSVnuxCx3Upa6moWu5HgHVpY6/Pf/e5C85821B9XMP9N+/coHhTE/a6QirE281FA57+0fLIO/948/yq23XM+/+Tf/zy9/+ONf/L/f95dfuOS5o+0LDpzqyVddNeCizSmp9jBGYYxlb4wEJCAQwuAJQyDh1GKdRw5Irr54iV3bhjRq4HuSwFcEgUezLmn4kn7PZ++RGnc/EXD03IhOErP3+IgNs0u87VXLXH1Jlxt2tTmykLDQFzTCIYdOGdqdJlddJFkZpuw+omg1PJ4/CpduNgyjlGEa4Hkx0y3YczxEeSm+TPB8GIwkL9/VZ9CXXH1JSmeQcvRUiws3KpqNiJWRYf1Un+Veh7/+Ijx1OOWZw0N2bF7kmp0dpmci3npzl2+7zXDxxhZpPMXhk5McPOFz/IzmxLmYE+dSDp4THFuJedll8/zi93bZMDXF8TMznF1sML8SsNiWLLdT2t2YlV7Kcs+w1BOc7SuWOwk3Xr7AP/+WeVlT4oIzp05c2O+nNzWmLqjXG9Off/axj/N7f/RXLzVk1rz9g2TwD//Nx3nlDTvU7Xe98B8OHzvzc0+/cFSdWYyYHypO9w1X7zjLb/7oPNde3ODs4jSL7QZL7RpLbZ+ljsdyF5bbKcudhKVuwkIbji8LvPqQW65c4jtui7hwfZOV3gTnlurMLwUstAVLbSsRlruazkDTGRn6w4TZiZjtGzQgCH3DiXM+QobsWK+4cLNh8/o+Z5dHPL2/xfWXGhr1ZZ47MEOrGRFFPrPTmsEQLt8+5C++OMXObQmjkWHdpCROB7RqIc8fGVL3m1x7WcIzhyLOLgZsmQ25cBNs3xihVMyJBQh8gxCGHRsSpluS7iCk1/fp9H2WOoqlFVhsa5baKQvtlDNtWBymbN/S4ztes8Atuzxq/gSnFyZYWK6xsOKx1BEstzUr3ZjlbspKz7DYgzNdxdmVhJfvPMOv/+gil25psNieZKldoz+aJGxelAb1jb98amXXL800jqW3vf5bXmrorLr9gwL4vn37qNVq9dOnTmx/6pkX3n3g0Mn/tHvfcYaJpD+ElYFllFPdhBsuOsN//dElrrmozrnlaRZXGix3aix1fJY7HssdaHc1K92E5W7CUsdwti041TMgerzz1jZvfbnmok01oqjBcrvGSi+g3VUs9wTdvmA4MkSJIU1BSUPoQz00TE0Y1s/EeP6Qg6cjnj0QopMmb74pwvNXeHz3JBdsgs88knDrVSHn2gNqniJJY2amIYl9PD9hcbHBq67r8JmHWly4CR7bP8KnwZterknEgGcPphw+UcOTARumPaabgnooCAKBEpBoiGLDMIJu37DS03T7mpW+ZrFnGKQpO7b2eesr2rzzlRHoFosrk5xbqlu93fFYbsNKN6XdS1jJwL3Uh9MdxXwn5YbLzvLrP3qOK3bUmV+eYqXboN0L6fY92l2BX9uKX9/47zdv3/U327dtPTYcDgeXXnrZSw2l4vYPBuCHDx1gbm4u2H/gwPcfOLD/95588mmxsNSV/YGmN9R0h4buAFYGknMDyeluzMsvOcev/dAi111SY2FlisWVJsudkJVuwHLXY6UraHcN7V7KSjeh3dMs9wznuoLTbc30VJ9vuKHLzbsSdmxQTNR9Ot0aoS8BRZRItBZoA/0hIDTTrSH7Txq0ibjrsSajfp1LtgTccnWfWK9w7xNTXHupz/4zPdrLE7zi6j6ffzxkw4xh91HDj7+jw+4jIRtmJHc/objlcsVSv8Oh4zNce1nEvc8OSEYNbr4i4OJtQwZJj889riAVHDzhMdHw8AT0BxJtBKk2xAkgNV6gafcMzVbMtk0jXnl5n2+4PmG2WePs0iSLK3WWO/bYLHcE7R60uwntXkK7l9LuG5b6kjNdwUI34aad8/zyD81zzYU15lcmWek26PRCOn2fbt+zIO9BpGv6sp1Xm4suuvjHLrr4kj9eWJiPLvsHAvJ/EABPklhG0eBtj3/5M5csd9Jff+SRx/0ogSiG/iChP0zpDTW9oaE7ELQHgnMDyal2ws2Xn+NXfmie6y8OWOlMMr/cot2rsdINWOl5tLuKdh+6PUOnn1h3YKBp9w3zPcF8D+J0xDWXDtg4k9LrG97yihEXbNQkqcSThiiGe56ucexcjU3TCc8drIFusGur4rqdmrDW5/H9feYXmlx5QZOJqWUeesbnxktrLPZXWF6eYONGwyO7Fd/9uh6P7vbYut5noddmeWmG6y7v89BzKTP1Ka68pMe5dptHXpii7jW5Yafhsu1DkD2ePixYPxNzdj7m3qd9hrFCSki14YJNEd/wiohuT7F5WnPdpRBFDZbaDZbaISs9n05f0e5JOj3o9K1T0u2ndPqalb5haSA52RG0ByNuuWyeX/rBZW641F4c7W6dTj+k2/fpDjy6fUV3IOkNBb1+ynCUcu11N8RRIn/q27/tmw80G/VPBYGvX2psveSZzHjUI43733v66GO/uXh238yJUytMNiWDSCCFwWiFKX7bWoBCGKQ0SOnx6L4N/Oz7Pd5xyxLf+bolLtwScWZxgjCoUw8DGqFPs+7RrUtaA5/JpmcvmEHKhpFmMDJ0hyFL8zVOHDdEiebkmYQwNIAgUAZPCvoDhcAn6Xu87ALBxZsN27f0GaVd7nxUsefANG+8PuS6y5f50zsNgWhwwZY+zzyk2DKlWDfRp6bqRLHPuS40ax5bNwie2hNx3WV1brt2gT+5Y0Dgt3jDTQY/7POFRyI+83CTFw7XuWhzgws2pcxNR1y4LuaqC1KU0njKAIZGGDI3FRLFPt1+wHP7fVuiMFD0hpLeAHpDQ69vv3t3kNIbGDoDw8oA5vuKs8uGxmSbn3jzPN9yy4hrLmpyemGCdq9GtwC3opf9m4ORYDCyBDCKDffc96hfb07/5uzcI0uvv+2mf93p9P9kYqLxkuLrJQV4NOxjED948siXf+XQns/PjPo9GrUQhMTWQAhAgbDPhAApbCeNkgYlUwIpeWb/HE/ua7L/1Dne8coer7xiyFRrgqV2g2anxsQgoNf37MkZSgZDj/7IYzgyDCNNFBvi2JCk9h4lAUaDVALfE9QCwVRLMN2Cjes0Wzf0WTfd5rOPw31P+kg9yRuv93nZri4PvBATDSe45WWC9mDAucUmN1+mWTfVp+6FDBPFfCdGacHLLvNotEY8sbfGq6+b5BXXdHlirwIzyfVXBPzANy3x+aci7n60ye5jNbbPKTbO1JluNZhsQT0E3zMoCdrA7sOCNBXEiSBKYBRjv+MoZTDSDEea/lDTH2l6A+iMYL4nOdeFkR7y+muXeNsr2/yTN2iSZIIzC006vRrdQUBv4NMbKLoDRX8o6A8tuIdDzWCUMhxZKXlq/jSn/vrOmShK/8u3fONtXrfbf3+r9dKB/CUD+Gi4hJDpD5w5et+vnDr8+fU67lKv+yBSyKCNkAgEQiiEEEhJBm5QyuApg680dV+w0K/z4S9u5QtPdrj1qhXe8/oVrrqwx+xUg8WVBt1BSH/gZ8BW9h4JRrEkTgRJYpd6ky0XSho8D2oBNOqamVbMlvV9EnrsPxnz1/fWOHS8yVRY58YrPG6+usMj+9rc9eUJbrq0xvZNff7iiwIlQiZaMSu9EdqAEjA30afTDdBJnbfdeo4Pf6bBxWdrvPWmPlG8yL3PzhKnNV5+xXreemOHS7e1+cITfZ453uDpwwFbZyQzE4JGKAh8exFKAUIYtAGtDXGSXayxYRTbC3kYwSCC7lCwPBIsdUF4Q67ducJ7vmGFW69ImZ2os9xp0O7W6fZDekOf3qBcCfojyWAI/ezCGQ5TBpFmODKMYjB4nF3o8OcfuXv9KOFX3vHWV5mz55Y+sGH9zD9+gLd7hlYDIRCmffKvvi+No1/vndu3zhNd6rUQEaVYPSLICVxkbC6EREkPKVOUEtnyrPGVIfQMdU+wPFQstqf5yD1NHn6uxy3XrPCeN6xw7cVtZtM6SRLSH9boDXwGI48oVsSJJEklqRZoI2wWVBjCQNOoJYRBROCPOLk44o7HJAdOBBw+MY3SIRdvCrj8QsX1uzqocJ5nD7bYMtXgyotg49wyS50JrtoiSbThs4+GjPqSqWbCm14+5FP3xhw702LnJT6nV4Y8f8hn24Zprrlwngee6fLQ84JRFLDrwhl2bQvZtbXLwdNLHDgJj+5psP9Qk4YnCD1JMzTUfJDSEoMx9mJNUogSiFJBbyToDAWdGCKdoM2QGy7t8J5v6HDrVSmbZkKGw0kW2zW6vZDeMKA/8OgNFf2hsnJkKBmMbN/ocJRaj39kwT2INMPIOjqxVhw51eYP/vJL6x/afebXZ2b85I0/fueffvAnH2T7rl/4xwtwzBBjarc+8PiTHzhz+LdmXr3rxLqG3yJtNBhFwupqYRCCjLWxbC0FSgk8pbJHjadSfE8QeJrAN4S+oRGkTNUE3ZHPcmeaj903wRefHrJhus+7X9Nm17Yhw0GPKy80bNuoGMU+aVqm+QUGKTW+l3L0rOHwGcHKQHP7Aw1OLkxjIp/pmmLzrMeOjR4XbYErL+6g5QLv/VSTpaVJbtrlceXFbb7wtEAkPuunJc1GQj8OkEaCkSgvoD0UnF0SXGEavOb6Lg8+UWfzuoCbrpzhn37TAn/8mS6P7m3SG/osrrS4cHOdnZv6vPyyLt/66i6nlpa4/YGQxX7I0dM+J08G+EogpV31tDGkGmJtSBPN9GzM1Vf0GY1idm0b8a7XjFg/qZhphcRxjdPzNfqDgP7IrnKDAti51hYMR9iVYJQyjDSjKLUSKDYZyGEYC/qxoJv4HDnW4Zkj96z7ye8If/v3/9n6eNvOv/vLf/urv8t/+Zkf/8cH8Kef+A1WOneIw3sPX5gsH7zsoo3PMzER0BM+qZEoYTKdbUqtLa1UkFKipMRTAk9lj57A91ICTxD4mppvqMeGRmSYrKVM1wX9SNKNmhw+0eTX/nIGdIJIEq6/us+FGyOSBLTRGGOTOFIIpBJ4fsDeYwG7D9Ro1jxagWRdQzA3K1k/47F5TrFjU8rOHSukYpHf+fgER49NcdNlPrsuSBkkXb78bMhU3Wd20jDVimjUrRTSWtIeKpZ6hsV2SrtX51VXrvDY7j57jimmJmq8/Iopfuhti/zuJ+CJA016A8NK1+Ps0gQb1zVYPz1kx+yQ/+fb+0w02jxzGPYel/i+QSmDEBow9n8GkgQu2Jhyy1UJaewTJyHGNBhGPmcWAgYju6INI1XIt0EkGI4Ew8iy9iiyWdnRSDOKNMNYZ++ZgrkHsWAQC7qxYDkSdNMU0x9x++dOTA2G+n1b7vvu5F2vveEj29/3O+Ynf+hf/OMB+I//8l/xf//xJeotVz78zqWFY+/90CcPcd1l0/ziD3W5fHuvALSQGinDLID0UcqgpEIpleltie9ZzRn4ipEvGUWaMEoZxYZ6rBnFmigyTCQwijWjBKJEMIwlozQkTmvsOdDk6T2QGoOFttXGvoRA2ZqPVghXboKJOkw2JdMtxeyUx/oZ2L5xxKa5FWKzxO98fJKDhya57iLFRVslF29d5kvPJ5xdnOT6CyXTE5paMCCUIUYJklQijCFJI5Z7Nc4u+ly3q87LLuvywBM1NkwLGrUW112m+Yl3LvLbn9A8f7LFSk+z0lXML3usm2oyPVFnemKSiUbMXDNmx3URoZ/gewlKpUhhgwmDvajiWHFu3iNOFHGiiGLFKM4eI8kolowiyTCSjCJhA9RIMIoMo8ge11GUEkWZpo/t+8OMtYcxlrkjwXIs6Y0S9KjPtRd2+IUf6nLFBY819p/Rfyq10f/iBy/5+Pe/9ffTyW3//Osf4L/8m3/FzESo6uaFd33yS90/ue/Rbi2Vmzh63xBtFL/0w20u39pFyRSpNFIalPJRSttHafCVwfcUvmfwI0ngC3sSfMEoUESxBXocG6Ikta5I4txTSFJDmmpSjdXbmgLcuRTyJPg+hJ6gFgoaoaTZUEw2JNOTgvUzCTs29mk1V/j4gxH3PjvDysIEV29X7Njkc+m2IalY4bOPNmj6HnPTilZjyLMH4YVDHldtM/RHimsujbn6YsOZ0ynzywGDYYM339jl/mcG7D+paNYlYTDBVRdpfun7Frnn+QGfumcdix3DjvUpy22PqQnFZNOn1fBp1g21UBMGmtBL8ZSVWjJrrTQGm7DSgkRLklSQJII4kUSJII4lo9g6L1EsiGJDFMEoToliTeQQxyh27xbcgwzcnVjSjqE/ipFxj+suWOYXf3iRt78yYRTV2TS1tzYSzQ8d3z35fyVm40ePvPBn6QVXfO/XN8CboZbtTvs7Tx47+QcHDhyvTUy16CaaxAv45IMe0Ujxrtd2+fbX95ieSOlKjSfTTGdbPex7Hn7sEXqKoW+ZZuRLokAQxcKenFgRJxDF0joISWn7JakmTa27kJrMKcncktydUdLKnsAThIGkFkqadcFEwzDV0myYGTE33SUxK3zkfskff2aW9bUaV28XbN/kc8FmzY5Ny3z8y4alpRq7NiqmJ6DViDl7RHJuOSS4EEaxYG5SMjUF+w8bljuaMws1Lr2gxuuu73LHfTVmWxAGAUpOcdXFgh9+6zl8eY5PPjDNCydrbOjErJ9KmGwqWnVFoy6phx5hAKEPnmcdJilACgfk2As71ZCmgiQlAzrEqSFKII5TSwqxJsofY53Zjrkrk1mQiZUkvVjQSSTdWBMNIybDDt/x5kW+/TU9vuF6Q7vXYhiFDEc1+oMTtVRNvQ+/4SH8v8LyzNcnwD/woU+Qpvr7nttz6L8ePHR8Yl1DEUYaXwo6MmQkFZ991OfLz9c5vbzIj39rn+mJhFFYo9Ov4akA3/PxPZ8gSol8jyCy0iSKbSrdMo6wTJSxUpJAnEKaWidBaxtwaW3yHs4M3BbgNnAV+J4FSC2ERk3TqidMtRLmpgasm17hwT0RH7qrzt7DU1ww6XPxRti6MWDrBti5vUM/6fDI7gnqymduWjHVgqnWiOnJhCDwEMJeXINRwFInZqVvaPcSzi0HbN/Y4hW7znHXo332npygEcb4KkCISS7eovieNyxww85zfOiuFo88N8Viz2P9RMJUI6FRk9RritAXhL7E922sohSZfWhRbrA9rFpTAD1Jdba6ZdZioklSC+4khigx5T22rswwsaTSjwWdRNBNYDhM0MmA2XqHH/u2Jf7Nd/VohAHtbp1hFDKKQoaRz2AU0O0fn/Dq/u/Mbrgy2P3U7X98+bVv//oD+MJSG6XUD/7hBz/2KwcOnpz1lUADGsssnhB0hM9ASlZGHv/1b3x2H1zmba/u8Zpru2xYF9Ht1BmMQgI/IQx8RpFHGFh7Lwd4HEuixC67cZJ52imZ9UfG3BJtKMFtk5QZc4OnbMIk8A21QFOvJbRqCdMTIzat63C23ef3bvf57GMzLC03uWROsH29YMv6gK3rBRduHuIFK3z4Xo9Dx5tctkEy3ZJMNlOkHHFy3hB6EinAGEEUe+xY3+FRUjp9xXLHcHapzmVba3zra9p89AsBR86G+F6MED7aNIkTyfUXLrPjuzp89ok+f/HZGR4/0mTLtGBdM6VZS6kFgtAXBL6NVTyFDZylKGoyDPYi0wbrtKQW8DnIk9RKOgt2iFJb6xLlyaNEMEigm0i6CQwiTdofsXVdl9uuW+btr+7zlhs1nmiwvFJjFNvs6iiy5y+Kbetgr318dnp226/vfNm3qmjYfn9Q+98zcet/C8AXl1YIAu+f3v7pe3/l0cefXy8weJ7AZIGPxCClwJeCnpR0ZY125PHhL9W455ku1+3q8F1v6PPWm9rMToUMhiGDUUDo+0SJTxR7RaCUJIo4lSSJJE4FSSJJU0GqRam1taBQJSbPiNpkkcqSRYGvCYOUepjQqo9YN9VjEA/4wrOGv/7SJI88N8V04HPVFsOmGcmG2YDNc5KtGyIu2rLMM0cG3H7/HJPKY25SMNEUTDRi2v2Uz3y5Riuw7pA2MBh5vO2WEZ9+2NbEtHuac8seW9e3eMcrezyyp8vu/QHNMEFJYUGuGwwjq/W/53VtLtt0jg/f0+GhF6Y4tlxn44RgsmZoBJqapwl88JRASbIEmf3eefmRzqSa1uUKl2RAtwQBcSqI0wzYqWCYCPqJoJdiY54oolnv8443LvGdb+hw/WUpG6Z9BsMmnV5AFAeMIp8otufMkpIiSSVGw7lTL6yvtzb+yvaLb9PDQfuDtfrXHuRfU4CvrLRZWemgpPjeuz5//2/c8ZkvzHbbK4SBItWO/SdAJuAJCCSEErrSp+8rTnRCTj3c4OFne3z06i7vet2AN90yZGYqIBqFjBJ7wOLEI86AnqT2oCWpJE1LgGuTMbcua8pyG1JJW8fheZrATwmDmHoY0aoPSBnw+Sckf/nFKZ47PImIQy6YNmyaMqybUszNBGxcJ9k8F7N9Y4fj813+8FNNklGdrVsFUy2PiSZMNGKEH9EZNJlqGYQQGANxIpkJFYlO6MYB3X7Kckdxcr7OFRe1+JFvXuHX/yrk6HwTT8XZheGRJDWGkWTjbMj1l3S4+qIezx89yV9/qc5dj09xql2nGSpaATR9Q+AZfAWetOl8IarVdRow2l50qRakBpJUWP88FUSpTRINUsEghUFiSJIEHY+YrQ148+tXePfru9x6Vcxk3SeKmyy3Q0ZxQJx4GbAVsQvuRBJn56i/1KH71D3rhyPvNy649KZkafHUn/l+k9bE1w7oX1OADwYDpqcn3v7II0/87t13f2EiGnZoNbwsq2ZrmGNRBj+eNHipLWYKlKaeCvoqoJ94nBvV+OTDTe59rs/L7+7xL76ty+XbO6yfUkw0PKI4IEp8kqQEeZoDXEu0kRhjJYEpAsos1a+MDWK9hDBI8FVEZxAz34n5rY/XOHxumid2T2F0wGxdsH6dYd2kYHZCMTvls2FWsnE2Yctcn9mpZT77pObxF6a4eqtguiVpNSQTDU2zHiH8EWHo4Sn7942BNJUMRh6DYUyiBd2BptszLHV8zixOcPPOHq+4YoUP312jvqTwZGwBaTySNCCKbY/nuqkaN1zc44ZLejx62ymOzks+dNcU51YanFgMCZSk6QuCXIZJe+wLIs+lCpbJEyNINMRaMEphmECkDaQJJDFSjdg8PeDqHfZ83Hh5ykTdI0matLsW2EkGbLvCeplstOCOY1lZbdPUY6XXZ/Hhe2aHkf+7l+66dnk4HNz+tcTk1wzghw8dYOPGDepjH/vIJbt375sYDTo0G16h5VSetEkFKjG21iMFLxX4yhAkhloqaCjBQAn6Xsgg9VmM6tz1+CQPvjCgGY74v97SZutswgWbB9x8ZRdP2BYxIaxcsVlJWyttjMPcGIQ0KGE9c0MCMuH5w5LH9njc8UiL54+1iJIGLU8xVzfMNA3TDWN98AmPmUmP2SnBxpmEzXMDNs0tc+9zI957x3o2TXnMTcBEUzHRFLQaCfVwxIP7FMPIw29aUBkjiBJJzVNce9mAh5+dsoVPg5SVjs/CSsjZhWl+5K1nObGwyMNPzeFLQMRoKAA0iiS9gcd0q8bURJNXXNbntqv7fNdr59lzXPPpR2o8sqfOvkNNEuExGin6sUIVpQ9u4JnlBIwm0QajNb5ImQwiasS84roeF24asnVdzHveNKIeSJp1nyhq0O4G2UrqZYSjCq/d3uWqe5JJnySxBkF3pcNDX35w4tiJs5d8yzu+TR04cCC95JJL/uEAfM+e3TRa08HTTz3+/UYn/7XdXqZe94liW/knBVl5q03He1KgEqxESA1eAr4U+NoQpoaaEjRSwUjDMPUZpD79tEa3m/IbH57GJDEb5oZcsX3I7GTCu143YPv6iDgWmd6W4DA3mf6UUiOk4GP31HnmYBPheRw91eDk2Qa1umIyFEw1DRM1zUQNWnXBZEMx0VJMtzxmp2DdVMKG2SFb1ndIzQofu3+CQa/JpVsNEw1FqyFp1TWtWoLvR3z24RqjvsRfb7tFc4nSrCve/PIB9z2p6Y0kvUFKp++x0vU4s9jg8gtbvOvWDk883+DoUgslNRBnetknThWj2CZmekOPdi+gVW/QrI+4fOuQm3YOOX6uzZHTK3h+ytOHPD76pQZC2cI1xucPGmsBYAxxlLJjQ8K7Xzdg3UTKzh2GDbOQJj6jqEWS+Cx3fJJYEadeFgdZQOcAz6VIvMoAENnPyKoeLZOfO7fIurnt//Xxxx/vX3jRhX+8Z8/uaNeuy/9hAPz48eOcOzd/2ZnTJ3/viScek0JIfE8Cpe622UmDJyHJ2DzRAi+xOjFODX5qNWDoGWqplTWRNkSpYKQlo1QSaZ9Yw3xvgi89ozGk/N0jdmQDRmf3PIuXWWQir0iUSKVIYg+pPXxP0grhwjlD09c0Qk0jhEYoaNYlrbqVQ5MtyfQEzE4mzE2P2DzXJWWZ3/rbGg88u56LZ2G6kbF3Q9KqJzTqEc3GgHq9QagkSmYaHCsH4thnOBAMRindkbJdSwNtW+aaASfOTvKqK0b8xLef5Tc/6nFsJUQIjTExOjXEiU8US4YjW8baGng0awGNeo1G2KAWxrTqEddfGhH4MTdemvCe1/fxVJIlgTRCmKoozySd1hIhJKGvgIDhyGNx2bN1O2ke82T3RJYxUFa4loM7B3aeWCqYu0g0UbheqTY89vhjUnnq9+JoeP9wOHzua4HN/2WAf+ITn0BKWT9wYP87Dx48IIwRKCkwSmKMRiCzuhLrWCSJQSqDSkGlVhsmKXip7X1M8og+zaL6PLLXonytBZGWJEaSao9Yh6SZ7eXeiixlZkt6EnwFtbqh5hlqKiX0IfSgFhjqoaAeSBp1SaPmWYA3BVMtzcxEwuzUiPUzPTavX+S9d2j+4q4NbJtSrGtpJpqKVkPRbECjntKqx5xe1Bw8HVIL7AUNeaWfYBh5XLhRs3HdkM4wYDA0GYtLVroerXqNVmOK97z+HIdOn+F9t2/Bkx4GTapTEm2IE49RpBhEtiiqX5M0hh710KceprS7NsYI/NQmzPwUT9pGCSnTrLDN3m3pii3htCAXtHVWZaltXJOmEq0liS7jnSQVToCfP3ceE5G9n4Ob7Od5osnmLIyx3v2e3c+KNB6+c8f2Cw7e+enbB2/5xv81j/x/GeDNehC0VxZ/ZnHx3M+k8Uj6Xt6BI7IsoUZIC/BUZ7XcqSDN5EmiwUutX53myQdtstemeK98XlbKWS9XFIGSq7mBLJjNfHep8SRZTQv4SuB7xvrGnqAWSmqBpB4q6jVFqy5pNQyTzZSpVsLMxIh10322b1jkkX0jPnzPZqZrIRtamomGsOCuS5o1TbOW0GqMeGQvPL2nwSVzJtO9Zdp8MFLcuNNw6fYBjz43RX9kGAxTegMvA7lPo1anXpviO169xNP7zvHw7o1gFFqnNnBPDElsinqSwcijMTTUa4paoAkDnzBICT2N56X4ns0OK6WzIjZbvYkwCEo9VwbntoRY546Uzu1Xx4rNga0taMvXFMDO75bAMsbOrMj8udYGg6DbG8qTp8/8Bz9oBPVG45eB6CUD+HDQl6PR8Bdu/8SH/3Vn+WxQr9kxK9rYoDJNBamUFtzS2AOiDCpLKqTK4OnsubYNtDqleJ7mGTeTZ94MOsvE5ckKYwxO5r2y4uZuTZ7QUTLLWCqcoi2b/QsDRS1U1ENBoy5o1Q0TjZTJZsJUa8Ts5IDNc8s8vHfAL/zJBo6dmOKidZqpBkzUFc26olmDZi2lXosJ/CHtoS0W85WNP/Jbqi3DxUnARD2mn2j6WZ11f5jS7UvadUWjG1ILW1ywMeaXvr/Nf/xTyZd3b8Cg0EaTppokTYgSTRQrhpFiEErqI0UtkISBIQwUoafxfev3e8pkdT7ZqprJFJFVcxa3LLVvMhIxWS1LmgE+1eWjJSOZPYoS4NnztGBtitXZJuFKItPaNmtgDIcPnwiUqv/Ue97z3X6/3//3jUbj753O/3sDfNDvoHX8y3ueu/9fdleO1SZbMguARJkKlvaKVVKQqBzIBi0tuNMM3Dp/roX9ohlr68KjBaON7SLPSkDdO2MAz2R3FlhaiWJryq0k8rJWNN+ThIEdAFQL7UiGemho1jStRspEI2ayFTEzMWDz3AoP7+nzH/94HXuPzbBjxjosrbqk2ZCWveuGRi2lUYuJ04g/v7uFVApfGpQobUJt8iXc53veuMznHo/oRiH9DOC9gaLbU7RDj1oQEvoT7NyW8J9+YJGf/2PBQ89tQBtJqm1aPU5sodko0oxqttw1DAU1XxAGNrMZeKbI2HpKW5koy7LkAuBlyrMgK4PNJVi3JQvkcwBnUwd0kVzLiK1YeUWxOleAXQDc1gfpHORZ9vmFvYdrd951z7/6xje/XqysdH52aurvNz3r7w3wxfmDGKNfcfLo4/XAGyGFLXbKv2AOUpUBXWlBKgVpkR7OwZ3Lj/wqNkV2LW+/skAXto4iB3V+4Mc+V9m7mdWZSMpiqqyO3AJc4vvS1m8EglpoZ540wpRm3YJ7ohkxNTFgbqrNI3v6/MIHZ3j+6Dq2Tgtmm440qXk0a7Z+pV5LqIcRvj/i5OI0vhIoqYse0zzITFNJkig2TRuSJKYT17JOGc1gmNIdSup9RS3wCfwavjfJrq0J/+mfzvPvPgAPv7CeVEsL8NQQJ2nG5JpRqKlFkmGgCgnm++B7mXOlpM0FyMzdElgZKcpj6JKGMVkmWGesnsvDLDmUZ4vT1Hlfl5IzdYCtdXm+CxzoHA/Zz1LNMBrypfsere/YseMVUv79d5z4ewH82P5P0gh7jWcfvysQepl6KIgSbZk6hUSa8kumglRmJ1Xlry1Tpx7Fl6wCO5ch5dJlcjmSPz/PZ5OiLKKSEqQUBbiVlFmjRC5PoOZDGGjqNUM9tPq5UY+ZaERMNQesm27z+P4hP//+aZ49OsfmKcVcUzNZF7RqkkZN0agL6jV7cdhUf8TDuwW9YUBNkV1kWRueKQPNOPFo1hQ3X9nlkecn6MdWpgxGKf2BohsqwkAR+EGmn6e4fJvmV3/oHD/9R/DQ7vXEWhJrnTVLlz2Yo0ASBtqyt1/W0Xsqv5PJlFLG5d1Ua4E8TwqZHOAZ4NPCeWHNlVc7EqQEssl+7gIdUq0zOWPrX06dXeH9f/bJ4Fvf8Y2N9/3Zp/s/9L3f+L8f4L2VQzQmt00dev4jfyjov9qTCYFvK+VcvVssTypfdizgLWOXV7lWYm3WdgCtC2CXTcFk2rs4GcIWFAmZgTsrMlIFwEFlFYO+B4GP7QQKsgKrMKWeyYtWfcRka8B0q8NTB0b8/PunefrIejZOecw1NJN1aNYEzbqiUVc0CvZOqYUJrcaQe58OWGnXmJ4u0+Q5YHSmTeNUsX5W8fqX9bj3MW27aCLtgFxS8yU138P3AjyvjpSay7cZfuWHzvHTf2R4aO96Yu0RZxWAtuzVMnkYy6K6MPAknpcVYUmB8vJjQ/H58oswlyoir0qjTAiN37XzqLXzWKy8VXC7lZ3p+OuiDsYWfA1HKcvtwav37Dv0gZ/80Xf96C03HVm5+vIL/vcCvLN8ml5n4adXFg5/57C/iFQ1fGMAnUkCQSKduuPc+VBO0Ojo9Fx+pIUMoWDvSiA5ztwZ0vOMXKG9ZV5BV+ruvGLQU9j6DM/g+7axuBZoakFKvZbQqMU0ayNajSEzk22e2DfiZ/5oHU8d2sD6KZ/1jZTJhsnAnbF3TVIPLfvXwoRGGJHoEd0oRCiJnzN4ocFFxl6ZXxz7NIOhLReIakznIB+m9APL4GEgbU28l29Aa7jqAsOv/+hZ/u0faB7as4FYe4xSQZTqjMUFtVgT+obAt72rXhZ3eMqWCCsps+OTdeXnj05hVnFhurHOGLgLEnKIyQV3oa1N+byMtXKgl26ZLfSyf//02UV27zv8nfc/+OTBURT/u/+tDL60cJKJqc07nnjg/VevzJ/DGB8pbNBiexolaZaxLC2lPHAUBbhTpyY5H41m8mDSlIFYyRRlVtK4a2bO2m5QmS+3WYeOyoIpz8s6g7IipLx6sOanmW6OqddGTE/0mWx2eXh3ws++dx1PHtrA3KTHXD1lsmZoZeCu16ydmIO7HqbUgoSJZsTuI4Z7nmgSSImvdBbElR5FvnzHqSLRHq+5PuaSi3ocPFZnrkHZ5zhK6Q8zFvYUnucXCTMhDFfugF/94QX+3R9p7n9+jmFct8mwxNDIarhDHwtyL1+9dNHbKlVarHBKCgfgwgE5q/RKCXJTBXhRoViuvGutzCW744DbIcBc1hgIA8WZU6e578HHrv75n/rhHYePnjh64Y6tX3uAryydJqxNXnD80MP/fdBffnscD/E8m8QRGAR2EpXUMpMohoqdZAw6zeWIWLWk5f6wKTztMZdklVuSMfc4uIVBqrL2RclsfkrG3IGn8X1N6GvCIKEWJNTCiEZtxMxkn+Vun/ueg1/9y408c2Ad6zJwT9UNrbqgWROFV26dF23ZO7AAr4cjojRlOKhRU/Yik0JUKvnyRIoNND2r5b0Ro8gwiIUDcE0QpAS+h+9LO1VA+gXAEXDNhYJf/dFlfuOvEh7aM8up9gTDpmQqNbQSQy2bOBD6JvP+cyfFFOydS5Uc4MXnzT60i/NCIWYnJV9VS3BXJaWt5nTAXgF6CfDcDi7kSvbfSSHo9fssLCy9/e4vPpTefNPL/tXR46eO7Ni2+WsL8O7KUUb9+k0rC7vf2V3eRxgqpLD2pJEgjbBOyRiwtWslKVFIEgtqkS1tecKmKkVcgOeH2FWF+Umw4x5wal4ycBfDgWxZrO/pbMxEWoA7DDJwz/SYXx7wK3/e4PYvz7HQm2ZuUjJXy8Bds7q7kQWW9VDSCE3G4FZ718IIiPjiUwHLccBsSKUeG1FdodLUNj9MhB6vu67Pw3sjunHIZNGxrglGtlY98CzAPWUbsoW0CRoM7Nom+c1/0eHTDw/45Q9u4MTCNIMpj6lA0Eo0jQTC2I5eDpQdaOTngaYURRCcP7qBunthClH0ihTnB8YkpAtsJ37SDvjdPEaZ36gGqPnv2AtM8dhTB9i0ccM7G43mn3d7gyNfUwaPoh6+37j09NH7fnKw8iQTjayhVeRf1EkEaFEA2DK3LOSJcbV2AepcgpjShhpnbVeWZAc6Z5Y83Zy7ACoHuDK2HNfLezttf2fgpwR+Qi2ICYOYVn2A5/W59+mUD3xmgjseWE+kJ1g/IVhXs7LEWoC5T66yu8iY22XvGM8b8eALU/Qjj02N/POMM3geZNtS0pqveMXlAxJtAT6Ihe1azzvXR9oGh142Gyaz90SWXDcI1k0JvvO1PVrhKT74mQH3vTDLmbhOvyaZSAxNz1iQe1kcokwWl5gM5PkxFGXtuARJyeLjOwoWUiUfUQFj2tztHiprz3NGT9cITt1YLCc6AaRa8YUHnufKK3b+5Ld846ue7HT7+ye+ipFwXxHgUf8ASyc+hR9ObY67e28L5FmCRogxugiY3JSuMiVza+1KkpK9K3Ik/zJkyYQKsB3rwbWviuFAzrzCLJkiZT7aTWc13xm4la3FCP2YIIip+RGNxpAg6POXd3n82p+t5+D8DH5YY2NLMBOmTISGZgjNrMO+HtpsZy1LCNn6lTRbCaw8Weik9KKAQCkCaYoAE+er5Bd2XrsRJT51f8jGqQEr/RaDWGTj1mys4PtpZvOpzO5UFuCVwNVWPr791h43XjHPr35oyF98do6lpEk/9Gn6kgnP1uCEHgSKohnCy5M+xRwaUWSBRTGvBkeuuGLFBToVYOoKq7vafOzumA0F0FddLB4HT3b4/EN7blvup5sXFtv7H999nBsu3/a/yOAmZW7ray8YtJ96rxk+RrORonVU1CaU4LX1CsZJ5xpTlShGl/UNprgw8gMiHEkixqRJDm5TskmWfZMuwKVBSTt6omTuNAN5QuBZSRIGI0J/wJGzCe/7dJNP3D/LobPTTDR8ZmowHaa0QpOl3nNwywzcskgK1TLtHQb2wplojvj4gx77j9apZRO4inYxSpQXYxyM1eFx4rFrB3zTjV0+cOcsvYbHRDZ7JIyyuEFpPE9mY+twQO4758quCtvXSX72u/tcfeEJ/uiOGQ6dmWQpqdP3PZpK0MiAHkhjL5zMZSpWP8fyFSLbFCbv6xSQl2WVa6qz0ualE4VvvtpSLLqIjLuK5+xdBXvO8qkWDFKPT96/l2uvv+K97/zmV71lfrHzFaXKiwLcmB7QQPfu3qqihy6ueaeQtaYdw5BXl+VAr4BaFuPQSpdEFIDOf8+47G1EwQIlK+S0bSo6MAe2fcxHKVtwW9ckZ+8U30ts546XEIYjAm9EN434vY8EfPDTGzm5OIVWdWYmFTOBYTLQNDLmbhTpe5nVqWTSJPPOC3AHNns5iiP2nwjpRSHTYebi5Emn3JXIs7DGqUmJPSaaHhdujVDhkG7UYhAI6rFhlAPcS7NEjbI+tsxLgNcKXhVzk31+5O193vmaM3zw0x3e97FZFgZNBl6NmqdoeIK6MoSJsWwurVTxZFnekGc5VzE5a8iVcYcFqMRSOXgdIssBXILbAbW2ZQFJ9rORFvS1x5lTK3z23qcvVkJs/b533HzkxNmYrRt8znd7UYAfO30WI6bmZBx+pNa9y280PORoSJz4pKlHqmQBZpfBtdFVwOca3YwBO/tCJWMLzJqfxDh2oCmAXZEnMquSU6kFuJfiqZTAj6kFEYEf0R5GPPiM5C/vmuBj988yTFsEQcBsIJgKNM3A0AgNjaAEdy2UhKEkzKSJTQxlzkQG8MC3mc/Dpw33Pd4gin3CplkVYOa3Mp1tySCKFb7v8fobu3z48z32nmgyqNnRDCPfECTgxxo/0iglrW8trS1bDPehPJ6pliRa0gg9NkwN+Lff0efy7SP+4q4Wj+2eZH7QZKgCfN+j5gnqEsJ8wFJur0pj8wkCB+TVmpXx4iyX0XOCGnfE8tcuUxda3JSvU2PrmGINI2ObX5I0xZiIL977Bf9fv+eaj5DOvywQnfm/N4NPtjbIO+/ffdMHP/qlydt2Kv7Ndw3BWJ2bpGk2uFKhdNYilj3qDPClHKnKkuKeAzuTKC6DVwp/bI+OZfIipayLck+ruw2eSi3AVVrIEc+LafdiHnhO8Cd3TnDXE5MstVvIeo1WXTHlGyYCTcM3NAJDPSBjbcvc9VBSCxS1QFALyCr0dAZuTehb/a28EftOwMl2zSZWMn1bTZyU9TO2D9KCPNGSKPLYMCG4dNuAZ48l9GOfUTbjO4iw4FP5ZN08UQNyrDMnv3hyGzJObX34u18/4E0vX+YLT3b5089O8NjuCRa7DdoyoBd4BEoQSEEobSO4J+0udUqUF6kSWdnvGgy+qn5lnMkdQtM4gacRpGRJHpOxtobYQGwEceaVmzQBPUTFA77nTWfZue7DkyZ6101TU9ffyYsMD3pRgD/2wqkwSfmDh5882RzM1/nuNwzYtn4EQ9u8m0oLcKNlNnukBLgL7spznetQB+DOAanwQkWaGNwCfStLdKa5NUqmdiB+7mbImPluwr2Pe3zmgRa33zfJuU4TUavht3wmPJj0bSdP3SeTHVAPRHaXWclpprsDQZizdw5wLyEIEmpBhDExX3wi5OjpOutmBL7MW/VE2ejrsJ3rOqWpYjDy2bFB8Prr+nziyxG92GcQC2q+7VcNsslS5SqlCr/azlGnPK5G2L7UvFFBW7+9Ho5492sHfMONi/zd/V0+/UCDe59pca7dYCACBoGH5ys8YUd6+FLiC5NJLYNCONKwah+uQeYVF6xkblEEoKnD2Elxz2SJsYNRbcFLAiaCUcS2TQPeeuuIOvubGPMHvj5yOTD4ewH8ieceY3GhR/foIqdTj/mu4IKtMV4sEEKjjELrrNHXAXjR9KtFsYdlDvLKSQDbO7lGTWAloHSALYTO7ECNyADueSmBF1OrxQxHKXtPwpFTir++e5I7H5vg3HIT/BrehE9DSVq+oeVp6r6h7kPNt+Cu+XYmoS0zlc5dZD83Gch1AfLAt+1pB09pnj0cgu9ny7xxUvSiggI3CLP10oIkteOcr7pwxBVbe+w52WBQEzQSQRgbRorM2tMZe+duSm5Bllql8NkzK1JrlU0f8BlGPvX6iO9784i33bzC5x7v8Tefb3DkVI09JxtEKyFJ6DH0PKSyU30V4GWPOZMX0oUy+F91K9yUEtQaR5ZAIUe0gRRjJ/3mot0ktlrLJGBiiBPWt2K2XZwQNs9x7tyzU/7M9/+T5Y7+wPTE2hWH5wW4iQ6IOO7/5N13/5d13X+ywOyMZroFQmlqEyN0lBBHnmWJbDNWXYxrGAe2dAJKkYEa53EM3nmkXmg+m9SwkkRnuzykhKGdpJqkKWcW4e4veRw8UeeeR+qcXK5z8FQTwhDV8Kh5iqZnaHraugi+HZxf8+24Ngvi/C6zu8oATqa5M3D7KaFv2dteWBGH52H3kQa+rNqDhUShrAcvHIXcSdFZX2Pic8WOAZeu7/PcoYR+4tOKBSMPgsTOBFQOwKUUCCkrTA7j9psogtm8jzJOfUZ+wEQ94nveOOLWqzucXO7wxUcDDh0P+dwTDU4t1kgHPlp6xIFCSJltLWO78iVZxhMK2bIWyCuBJm6WOndbsncLUGswqb2TWoBHOitOSVjsGv78Ew3mpgyHzu6f+tHv7f5E4EcfXI2irwDw4dInwSTf+ZqrjzavuWzAH/5Nk5/5rUneeOuIXRfGbJnSXHLBiMAIdCzRRmVsIR1QS0eKZMB2WDxn6+onM07EXrJ2IUVUih+mxKnh0HHBs4cUdz/S4LnDAS8crtMZ2Tl4+AFqwidUgoaChqepOz5w6OV1GnnZrK0LDzNZEgSKIJDZBWBK7e2nNrPoW51fC2KMjji7JBmZEM+TBNLgOTbbGIEXIE8dxynN/HCBx9xMhFRDerFP3xPW6YjLgjFP6UoGUgonis2HHVHGRHlrWT4YyU9VMX6iPwrYOB2xfUPM9ReNGEQD/q/DbZ47EnD3wzWePVzj0LEacaIgVBipQEhS6WSDiiTFGlqlIs5zHzh/1M7j2F2nEGs8DBdfMGLzTMKuiyLe9KoRz+33+dU/mqCbLLAS34HvnX/D7jUBbqIPYOK2SpefEiMz4v1/2+D3PzzBQk/xpafqTAaa7VsTrtoV8cYbR7zu2ghMgu8b6k0ynS1BC5LYAj0PJCsM7l7yxgKabH6J7xkQtp8zjgz9oWX0Iyckf3VXSD9WPPVCjQPHQxZ6AaM0AC8A5aMmFIEU1BU0lKGmsOPMVFZ4pCxrB76wSQ8X3L4kyGRJGEAYkLkmNmXue5rAT7KMaEy9FnFuOeXuh1q0uyHTkwIv8+Lzoi9xPmbTTkCoJaORYt2s4k03D/ncYwOOtZsMfGlligd+YvDj3LPOPHaZWrsQd9aJLP6GNl6lZCJNJUGqSD1F4tuxD3HsWyvVj2kGMbdelfCKy0e847Yh+45Lnt7tM4gUf3F3g8NnfBCS/sAjjVRevonxcoCPWUZu+rYCcMBoRGoQOpcmmnozxfc1wmhed92IN9444sqdETu2JkwGhnVTmtfdMCKJJL/zVw3uefSAePMtu9R/+K2PJb/0L7/tqwN4nAgQk7/3+J6la/7mrjof+PgUSyMfAsl8D+a7hsNLhoee1Xzk7pS5mQSjDdddFvHuNwyLXru5Sc21V0U0a/ZkYkSRA1t9zkUxnKfdFzz9jMdiR1KvSR7Z7fOp+2sMY8UwVpw+E6CFR2x8tPDB8xChhyclgRLUpKGWATtUhlAZWwPuZZ6vVzJ3kPdlFuBWWY+mKNg78DVBkBdopQV7B0GMUhFfelLxiS+3UIFn7baK/j4/g+deeJrmjodiOPR52y0Dbn+ww198cZJeUqOZ6XA/1+FxnpQxRbeQELIAmP1T0tH6bnVnNtrBs0zue4rE8/CS1AJdpShlB+lP1xJu2Zlw884YI0a867V9hrEd5/bJ+0Me3R1QDwULHcXTzwV0+jJTSYLzivJi5wnbGnjttTHrplLb9JAa3v2GAddeGmM0zM1oZqYMHjbRpLUkHUpmA82//p4OrWbKl57xr9kyd/3vIcyPfFUMfmZhGb8+NfFnH/uTnb/xvim1+0CdSATWO0KAstyrDYyM5mxbc3bFLjP7jjX41JfslWhSw+S05qZrIlp1Wwe8ZnrSvdQz12Glp3js2YBOWyE9aWeiGM8yk/Cwc4E9kB5SSnwpLJilIZSaQFogBAoCVc7osyAXZcODZxsB8sZjF9yW4bOyWj9n8NS5J4RejDERJxcColGNcFISZGlvlVXlVbKYeUcP4FqnRXe6VkSxz3RLsW1dRCCGDJKQQSKoe3YIZl5Dkie0lHTLW2Xxt+zfyJNtusyeap01n5TSKEnSLG+gsrnsCXGSomKbS/BUipQJW9fpbMXQXL59SGQGSE/Tbgsee9ZjpW8rSccF+SoLISvGatY0r7gmZnJaYxK7steVPXb2syt0IokysyK/JamhKVN+4tv6vPt1Z1SH+Z3X3vgjE//+R5c6wpt5cYAfObnIqXPtX//AJ86+9umDIQSNNa5IU96LQTuGxGja+RKkNJ0Vw+kvNZ2vuBbAXf2WnRwh0PmWC2Q1p0KVQY6UmZWVgzpLO0uyjVtz39h59LJOekW29R4FuG1blyLIwB14FCWmlsEzFvc0QZYd9f2YMIw5vqD50Oea4AX4UpQBZiFPxCoGd/3hfEioBZsdrBPFPu9504C/u3fAC2db9FKfRmI3pbVVgKbsxFF5TsAN9vLSxVwKSafAK7/rohbG8xR+auel+BnQlSyTZrZuPHsudDY4KMUTBmFS1jU03/gqDSLNZCYg8v0z1jjnRY2RAK1IY498HksSS2KqJkWRI3FH8WWJvg2TMZvre14bDw79OsSr9kRZBfDf//MvoqQMDp9cQdYaCClX1WKXQ+RdTaXHXhtQhtR3f3ctfOfslgO8GrwIKYsWNCXAFzatHApbLehL+9qTZDUVWfd4Xkjk4cxBIduZreyqLwEuC9kSBqZoaQsC7QzOSfAz9g68GCkjjp4RzHdqCM8jlFTkiXS/lnO6XelQAV7mdESJz+zEiB0bB+w5M2KQegxTCFOBnxr8JNPhCYWzVKbQVaVTIY/trIWbNxUIRxppvFSTKony8u3LVVasZreVUbK8C6lRGchF/rexU7KENIXrlQM9d8DWAniZ3HMfS1PCNSiMc8GW30vYor/hIl70d3b33q8E8L37j9sTMxqwLrSp1kTnw+szzxJRKaRxQW8qMuQryRKyrhynsF4IJGWK2E6lAl8YfJGBNpMA+fPivYzsy1JQigbbQAkL9gq47Yi5IMiBngefGbjz7h9PFxLF96w+DYKYhJhPP1jn7Hwdf1IRuDUcroPCmCJ1U9dO9WWe9BmO7ATbt76yx4PPDOkkNfqeRz3RRFk6XcmyICovOBNCU3YO5YFmXrWZW4fZTBUDqbJ/09OCRAm8VGa72NlaniQDeplM00WCTUrtJN6y59IFd2bzFnvFnOf8O4V2UGVrF/hu7qSwn/MybFJUsnbdVQXgH/qbu5ho1V/1oY/de+PiuQTlmyzLZKylZexsEgt0+8fSMTM//xBfaVJLIUjyZIEAlT8KG1jkVpvKUsZ2vkmpcfNZhyof6JnJExfYxRwUhe1HXAvgecCZ624vlyUm09vVWvLAjwn8iDNtzRMH6uAFdgS0NEV6vmBwqiyeM1fpA7t9qbLwxOPY57pLRsxODWgvN+gnioYCP7HfRaV2gJKKXYBjQV78ITlWqSmyvsmsdkhpUi3wtSBVklRpUiVIMpC7xWt5OYTMQe6AutjfFJ2BnKykOc9El0m7SjFGRRmsZnMXzGVMURaVaZNN2Eo9PKZunNn0xlcd3/+ND2y79M1rAzyKIrpd842BTK+VZkQjCOxGonknRgFyuxWJa+Lr4gPZf0uzWpGIzD5xzaT8Ks+zYiU4TMHg4yWcXl4bkdWA56Wetrk471SxskQV3SslsPPmW8vemeb2KPR2bglaxi7B7RfViTGCmDvuD3nwuRYy9AiksPO3iwrCso2urPgbz2ZmVZgFG9lAM9WKwdDn5isHfNOtXd53R4soDemlklpqGCVkK5db9aczOafHLqjzMTloT5YdWBm4UyVRSltGlzIbLaGdUmS3BsiUIK9km3MmzxdpR6aK1WTuauuyhiWLx/QYgxcVqWUZwmikqUl5bRz3v9Ho+IE1Gfzg4RNMTbbe9Dcfv/u75+fnaYQKbQxSl2MetDFFoUxZ2J5XBOYSpbL6rBqp5s7dyMGdA0A6oJCUNQ/uaIOcue0WJPlrMganaMOqsHjWDeOrKrjtOIUx5s56NoOsvc338oaDxLnHRMT8zRcnSE2IKrKXboBZ9jXmzkZFgzPWrqelnQ6V5sGmh8Dn3a/r8+efHrGiYwZpjUEq8BMKFpfSIBNRFJ1Zu3B8/ZTl+coBkmt/LxvdoDKQewalrVyxY/ZsBaPNHsuiNLm0KN3qzrKMuWhKKYBeSpXVAK+u7RWQFyRaBsp5YV+iy3r60coSjZned1+w8xvu6ayc/NzE1JYqwNMkJhqNLhkO+hcPBz1qgU+cGkQqSAWkwpSakTL1mhe4n2/S1PhNCIfJHXlSAH2sPLPQ4mOaMwe9O9tDKVFq8azirjLsJgO2p0TppBR2oO24t43JJmPuMsD0HPYO/YgnDkj2n6phlI+SkkBqvPE6DUeAj7so+d1t7yv9agvyOPG5eHPMFRf1+PK+OrEKGCSCmgQ/NXiJyORb1oWTZDocaeVC5U8Kh8WFI43KUR75TEhP6WKGpMqkXwnuvBbIZGUCOZNTrB7CATcin5i1NnuvdatUljp6vLxAs9XOmWzb6w+Y6g0ujqPokjhOPreKwecXlukPhgyHAzyVOTgayOZaS1HOKNGOdqoytnjRj10wt8vk40B3wK2Kmu/Sdisli7Dd86IEtw0yRdEt7hXglhWAu8N/bLc9BbCLbGXB3CmBZxM7tisoxhDz0S82WFysI0LP+u7uRTheg1KSU8UizBtr3TruwpvWdm+bdTOSb399lycOTDBKa/RVQD21WjwvZ1WSDNz5WqEzT9yNhpxscqFjjXOBuXNsJEqXM93z57LYVj3T4DLf7yiXJrJsjhhn8LGmlTLdt7rQroIpU2X0SpdYQQZ2R73RaES/u0gcD4v/vgD4hz58O0pJFhZW8JQiMfbAQWbMi2oj6FqDL78Sf+f+fylPxh5dQLssXhkvVjK2dBlcCYfFc7kiUV4V4IGXDQDy860DswynZ/CLVLzOnqeVu6ds584LR+Ejd7UYyQAlVZa9rF6I4xnMVctycQIZ0+E5OymS1CNMPb79jUP+5M4+zxyqEyufvpQEqc7cI4FMjXOcjG0vE+56mk0/GNu3yGXyVINXWIh2tLXKSgJUasphncVcFlFc0MmYHrfn0y2Ww2HyHOQvjpWKLjdUHJSy16CcpaOU4tzp/awsnbNpfxfgJjkBakvjv/zm71144uQ82giEKcFlJZWpZOHyP3w+aI+fUCHGn6/W3ueXKKIAzvg4ZOkwdh5k5lObPC/f5DXT3moM3Hn63s8bk7WdGVK0iOU9nUl2j1F+xP6THt0oAOVl8sSMlceOX7jVA1IdaDTmhWfdOGXix6PpC3ZuGfLM/ohUhwx0QC21NdtepsGVsBu52sRSzpaaPMgsmbxMouQd7l4x2NS+lw9M9TRZB5FB6nJCQD5dK827+wsDoAwui8Bz7HznaFnVMJHnftZggaoWF4W0y48hwmZ2UxMjg+kLr3rjDzeeeuH7+9desckC/MCh00y2Vt64adO6n15YeTYribTnRAnQAqRxWaek7uJCc9h8PKAcZ+/8ZwKbz3GBUAK77GNUDiuqylDNHOSUNdLKAXXxPEvyKDIv3ILbArgcCuS78sRlb5X1dQYRS13N//jbFouDGiL0rTyRprKqlINzXlxzVqYJ6JKddLHs2qq/iYbHj31rly88McHiKCCSHgMpCbIeynLkQ8bgbj290EUZrUFn4NYYJFVnRWQMboogPQe7kiJjcCuJ0sJFoZAppQ4v2wlLmZIHnqVVWDk2ziq3NsDL41UBfCZbhMiGGekO9dbET5/e88IDOh38XcHgn7hrN/VawJPPHqPdS5loytLqcoHqJiO/UjQ5Dmj39Ri7lRpclCCX4xKlOpimALYUSFWOH1MOqD0p8TJJ4hUAzzW3LoJK39MFuH0vr7+osrevYoIg4q+/6PP8wTpIHyklYV4a61ibxR7x2Zc8bzWhw+blyIQS5ImW2SZPPldd3Oftt3b4kztraC9kIANCKYqkj5Ki2KLRAqjK5MJl8vGESQ50BcrYVUEbYcGdTwnTkBbzU0QJcOfRgltkGc1SnhTOikNsVAD/1d/WnLaQk6AaEpoD+LHG6BEFwIcjHyHsdnD5P+BKBxesjiP4lYHtuCX27bww36waKFPxjIvAUpRsXjDkVwK4LAGunBpqL6tL8SmkiK9Kt8R3hgOVmtuyt+/ZqVXLbc0nv9RioR1CLXNPnA22zidRyGtExplpLduu6GmV6DR3UzymJxTf/No+tz84ZLEXEimPQSoze1Jk7o0om7HleGJFlwVLBnTB5mVvpJc7Kyp7no291tKOvs6Puwtyke2cV0jJTJ7Y1dnV42JMrogqwIVBmBeBuyiPWUmY2XfNLCkpYaLpMz0Tkib297xHntzPxvUzF9xx9yM/cfT4aWqhqjSa2s+xNgud73MYxz0wrF4J8n+vehdrS5Q8cVIBdnX2t9vhYoe7UwV3vrNBztzKYe5VDJ6PmyhHTnjKZi4PHxHsO1pDEyKkVzTnltWDbvwgHFej/PJuLUoBctzUsyicjKLdLPXAeOzaEXHxpiGLe+qYNLAsnlqZ4jkuTsmebqFXXi8ki89gdZFwgk/Qshy+48Y2SltMaEmmvfPzUpJRAW4tslkquSYXY1JFjOHBFC/GFG/lvXHWxlkptZBoGdDrnGJ67oqfWL/jtqe6y7uPeMKkRKPhRk+kb1peXmSqGVRH6p5HS4qvdLGN6e3xx2JWCFWQV+WJcJwJ4QSbJaAtg5ONAnZ9cPeebWmtXHA7IM/2q/ez0tCcvVX22vNilIr59Jdb7F+oQ1DKE9+xLsXY8RofFzF+q05ucjJ17u5meRlt5HHRuoi33tzn0RcaoH2S1GpxP82yu2lVKpXM6VpyGciNqWQGi+cyey6zVUXmd3vs02zFkCJjdZ2vsKYgpjLh4z7PGVc4+Mhli6jg5nygtizvYEsIdLZygQbhs7LcYS4Sb4qieGMcmyNebid5CupZPYZ0gLVKh7/YBxj7ef4hVunuMVDnr8cDtBzQYg1gF2yuhNOE64A7m09YbtvBamB75YCgYsSbpzOQJ1aeqJh6I+LLexV/96Umg2EADQ9PCnxRlSbjn5/xYzcOcMb095hl6PriceIx2fJ4x2uG3Plgn0f2BpimzyANCQTFhaaKv1/qYGctLUDu5ixs8JldYMqyeSqtHtcOa+dBvc6CS6mFo7+FE+hWYyjhANIdIFQW2Y3tD+Q+rRy7sYsjw4gWJis5Nghj9+7Mu6W8NIlJ4hhMSi2wpaTjenj1lVX+VSGqzsk4w7v/vfvFxuWJXON5IUVECWqpnN0blMhqU0pwlyDPy2YNnleOUPayTZg8VQW6X7C1vStlA8wgiIijlDsfavDCsQb4PkKqDFTZ3BAnuBSyetzcVaw4Ri5r5zU9lRF4+bZ9svDE09Qjijwu357w5lf2ePpInVESkEqfgVYEKWOfJffCGWNw+2jGPgsqv9g0WtkZk8aAkQKjrIuW6/FiRZUgtTPLUJerhhwH+Hhcwhjwz5PpXGUnOv9XXix2BUkFGOMRJYYkSUiSBO/DH7kDz1OstDu0Gh6eKvVwBahrsPT4+6u97tXjd9di7iqo8w/sBpjlDgSlNHGswoKxc4CXk1MLiZIxt2VsUzC1VzyWz/0suPRUTBhEPHdU8LkHG/QHATR9pMgrB3HswTWymM73dI9WXouS+6zVQfJjCR+nACuKfVqtiDffMuL2e4c8fSgEL2CoJUGmxZW2G+y60kCkFPKAdCyDqEonx1OU0kVaNs9XlTzI18aCXeoy0Sa066Zk51yXzD6e41gF8DHQn4/Bx9+rXiz5HkgBh/Y/yakT+9FpitfpLCKEII4TaqHM9Mx5rpzxf/3FAJ6z9tgHeFEWlw7YXc1dgNzqbTebqVRWYZhVFNp2ruy5584HHwN3dvfzKbRZgb+nEnv3Ynw/JjEpdzxQ577n6lDzQNqGZt8p4a2Uxrp398Uat8pMbfJyVorlNTWimFSQA3009Lntqj5vfVWf54/WSBIfIxQD4eGnFJ9JpCWLlx9hbSZ3h9grlTO3ZXP7WiC1KHR44ffnjJ6vthmDF0M7x8BdCTgrIDe4O2CIrwBqzveeAGMUydIA2Y7BGLwwyNrA0KSxjfy/KotbnO89sYqxy+f2hXQB7rR1uTsLVIBdkSpumt65qzFwK+fulZug5oD2HVDnzol1TOyjUjGBH/PUEclHvtgCApA+Qqiii0hlG6m6WVfXESoFnRgDGJXitJK5HQ1uhN0RQ2WjH4p94j2M8Xj36wbc/dCQxw7aSQKxVvRTkRV8ZaBLc+A4dSDl5QXY1QNFBej5T1UGei2z/XzyoDjX3jJjc2Efi3OonYGd0rn4KwmwUpJUFMOaYD6fZ179NiCyHZMlCoUxGs9X0u7CqwWpb9vD3GL86j/wla+skrnLlaDU4M6U1THdXUoVkSULSuspB3hhX7ogz1rTys2m7M4O5QD8EtwV1nYe88baXKooleD7CXGacM8jdZ49UAffB2mDy0AYZ3KsG1itdp7EeU6GcZ4UDRBOjUilujCVaJU5KqnHKPK58uIht91kWXyQWhYfiYChBi8VZeCX5nahBUkpUewHcOuJXOtSSTDK2J07DOTz4IURGAHSiFKqOEFlyd7ZedXuhe/MdV8jD2KP0hpgHmNTR2BVqg7zjRWMEFn5gcCr11QGKtuEaq+CavNCURJ73uun6pO7Zn7xRZwvVthXY45JdY+YsfoTQbH3TrF7cd58W2l4KLcuUWoM3M5Q/MI9USnKcwCeSZTAi9l/WvCnd7YYxT40/EyeULSmKXeX4OLCLVeyil4Zv5kq0F2Z4m4OUJSGVrS4RzOUfO+b+9xxX5O9J+3Fl2pFP1W2yjDNkj8Iq79TUboVzkpicqA751uaUovLTKNLbTDSniMjhQW4dmKlnMm1G0utsbI5gHY9epcEqwmgtXFXzSNQ7sSsDamwbXjGSNT/+J3f3BAE/n85eeLELnAM+5xJHbngMqxynhfyoSIpxvaqHP9Z/r7MxwFnj9l44AK4Y/d8ZILrcRePXqm7rYNSBbe7V09ZTJXt/uDFRTOD70WkMuJPPtXgzz83BWEIqoZSHg1lqCuTjaOgaHD2nda4MpPqJqIk5WRYKgFqGUuUtmN+0QpJ1vhb9kIqaRBGs21jxMkFyePPBiTCTh7QQiGELaVdK+6psqNw+xDK18YRNaasPSrli9PN5YLMVDu71ry7/43jJhVTiHHKB3BHbbtlDWv0smZbhScpRLHhsl0v2/iy627+vHf61Imp4bD3FkxC4Cs7gEWaYrsJ4ywBLyZTCrW5lgXkPC8TAK57MlaD4rJ2pQ7cVLS3LMBQShLlaG9V7PTgbESlzJgkySsFc/aO8b2YfackH/5CAzt/xbJ30bmf/31BJesrne/tBprCfWGAtcCh3dqQcq6gybpX0ny4aapIVabFU4/veH2fT9zTYPcJH2SEEZJh6uOR1YvkxzrNzl6aJ35yqDrSyZisF9LOxso/m8xwIA1IY2VLrrulsX/D6Mwf11mAWlmdq2y+pjSpXIircbXGAlgFfL5rRCoYjkasLHfeclwdn/KGgxFxFKOUKHr60iwCL/c+PI8N4AJ9zH2pMoYbTY/JElfHyupzF+C2iyTX387zHMh5tVuuwR1w24msOnu0dqBSGpX73SpByQSVyZNUJXzqgSa795faWwppve+ig4Y1T6Bg/PXqU2Qqz6sxT8UTd4r7PS1sbYosU/hR7HH5JSPe9qoeBz8cEqUKhEcqPAZC4KWZfUce6OaOiqtiTRkCZ0xmjECZvFTUShNjTKbFs7swZYpfgJYW+DqXKY4P7oLdBfIqsLugXjOoXBvg5aReSDQkiSFOYuI4wptsSZJYUA+y+CMDs9bYXery8cbnY/AiOKguf1U7aPwLrk4ErN3cUGXt/HXO2jnYc+YugK5cJi91t8qDyHyLE6nxZDk0X6kU3485dFrx+x+fYCh98glaZdd8toK4NdCunlwzcbDGCcoTLEWa3Dh1zk5tipO6d+tTUu2RpD5hmvDP39njb+9pcPCUByoG7RELn4EQqLR0NKQbbI6BPPfmDeDlF1z2njQ2PW8wGWvnnriusLnJ/o6WAmHK1WO1mZAB3wGyC/ZxcK/l2BXN7dlxTLMNZJPUbr/YH6TUBileHm5ImS1DUhSBh9b2gORF5WtTt8NSwr0Sq4mc4rks/94qcDvAFmOsnSdSquDWpUSRVQb3Kv52BuaK3+3cpWVx34voRJr33T7ByXMhKC+zBmUmT0zF9y6eu9+9wlLVRNd5magAfN544PZo5ppTFveiGUIq0sRjy9yIH3p7l1/904B2bAMCYyQjraxtmOafw0AqKBV2CfLy/+1PVIaibH5T+ShLx0dKUzK4cc5dZhmagsHPE3A6q73Ogexi6EUA7pJEdQ9Og3bsPy9JBEkqyqq/YumwVt24XVghJ1EepuLDFc9FZenJwT0OhnHmzoFdsnY5pbVg76zgvgS0w+SezhhdF9LEyhHtSJWcsZPi0VMxXhjzsTtC3vvRCUbat/JEqEKeFE3FY5ZYRXcXkkysdcTWZKGqVeiCPk/ZG7TWRXazSOFruxV4zUv4kXf12Hc04IOfslocFKmQDLUNOGVKweBlAVZ+skqXzLUrLahLyWJMxuaiBJYlHVvqaiqJHytjirr0DA/aJbkKZkQVP+7j2CEUOLg0VbmS/7xoeplsxsTDBCkMiS7/ibKOYfxyGge58wHHAT0WRJy3NU06y2hFohgnyMy26Ha3DFSu66AdqZKD2WFyWVYHFrq7eLSzBpeW4W+/0GB5lIPbAtyXVnt7oipPKqtObped5xhVGNs5GW4QX6nqG996UY/ViUuJ0gqtPZLUYzJIeecb+nzigQaLXQUyBq2IsXp8vLqwesmdn8ltHqhMCuX1KXmwaTIWLwCd+eTarD7nMi+VNXY10dIdoG/WxNJ54FcQcmmElEVcxkB/ZAgGGs8YTao1o7jK1kUGbJx83MBp7ErLM1bFB5Wrwb4qIHPbngrAOCMipKlo79JKWx1U5sNpSnCnlQAzDzLzfW48h739RsIdX6rxyLN1tKO9bVNDLk+q9SZFa9b4KiaqJ2ecgcaB5c6YcbfBdpsh3M12UyNRpvTFk9TH0wmvuCrim17e50OfDkBFICRGCEbaQwlhtyDBOCAylB/N0eSOD543nhtjj3+xK7V0CsWkNSQqzG3sBW8cDOicxHK2NvnPSkvTJckKUTi4y4/rKmUhbG1M4Jc70XnPHVKsrEhWupp6rZppkrIK5ApDO3+oKk1Wg7qQPflFIE0pVcYYW4gx9hZVYJcuSvZaGbxsxJiUmWMiTaarHUmSOybSkSjSuiehH3PwmORP72hxphvY/a6lHfSuBOWODWPxwird7frOa7D3+K2S6HGYfdVWi8Wwm2rPppL5o93+ZEMz5fu+qccDz4YcPCtBxIBCIxkK6WwiBW4ZrXBPqONxF/9fZDOz8+CyubDPczDnsiVfie3P8tnv2fgRdyUpYrT8czjPEWNgz/67/PO5sQ6iqOScakku3aZZvz7Bs/OiNaPIDptUKrtOHH1ZAfYaV5kL6PxnLqAROEtkVXfnS1dx4Iv6aoe5VQ74MZAXM7LHn6eF9s5Z3MvHAasEJVO8zBYMgphRqvnDv57gvifqtrdNelZ7S2m7dkQ5f6X4rPnK4l7MazC5i3MX66szmKVrUe7x7pbPumW0tt1M545Kqkmkh0o8brs+4off3eEX/jBglEibgdKSJHNVpBbOZzO4ctR+MNuShvP57GvhxAZZd70BI00WYIriAiiCzuKiN2NOy+qA0sVPqc1NJZZbpRpMLgvLPT1VlnSz07gU3lRLkoxkcbXlnyD/R12mGgd65b2xC8D9kOPF7yULuoN91mBvZ/95uZY8kabo9rbbZmtHojhjf3Pdnc24LoJLmeAHCV98zOcT9zUYRT7UvUJ7F+xdBLZU7mt5++6yau/nafdzbNcc2KU0KIuvjMoYXVdrxVMtkdpKlRzoSeJRbyS887YBd9034O7HlLUNkSAksfAY5Kto9inLSr6MrWXusRjns5FZhDmos88pQWXfL39tctBlQM/PrxEiY24n2JVrY6lgZ5dEc4ni1IDnq1Dhbme/l2pBt+/hBT5ekhiS1JRxtPOh1urqcf/oqtreCsjNGoBezeLC1duutywdxyLXv8V+6vZ1ob2LSaglsD01BnRVgtvLwB34MSs9wx0PNNh7umalibAlsSLX3gJngpRZBe7iu1GehOqS/+I3k58dpyZ8lVQZS/yM14tLqZA6RWqPeORx2caYb7q1xyO7A9pRln7VVo9HKPJ9ICSZN14poy3XHIPJN/SwF5+0KFFZS1vJ5rlUyRI+IqshL4AucEdIFCxuSqBWgbwGrsZf50GsxJF69urIy6c9D7w4NaTafsFq36Nj3a1xQl8M1Kv0KRQOSc7ueZFShb1FHlSWwC7BnfvgZXApi8HspsLYlYAyT+S4Loq0nfKalD/7dJ33fryFEZ71vSvsTam95Rqfe2y5LZdQp8nhRdi7UsnHGKgLJl/dylZsuqs1OpVoaX1xJTVx6iOV5kfe0efAKZ/3fsIjTkqQawQjIVE6HySRgdttbStAnekK7CJQwF9kKf2czckym8L+myZbnU0B9Dzzm+VQhaO9K4xMFew5Y48TrHtRaBvkorM9OKX18FXewTXRkMRDuy+knWJUrbeusm3JVIX8WENHle+ZNS6OsTFjrlRxPO6c2cuZeJn3PeaYyBzcakyejO1Zr7K9Z6wGj/GDmANnJJ+4p0mv50NdrWbvoubbWV1EmeApvjOrn1cCpK/I4A7oHcnizi3ROq/3cIAuc6BLtLRaXEqPOE5pNRPe8Zo+d95f58Dp7GTaAdWkQjBAFKuNyAjOfhiRATgHdeaWkCV/igUnd1Ly1L1lb5WBtZQnVaDnAJVjq3xx7ArZIio/z2MFQTX/YPLVE5vDElqQJNDuGpSv8YIwJAgCfE85DQMlWyk5DlyzSq6cF9S44DZOv6LLgKYiT0Qx+650Twpw58wt3MHsuXOiK9ttSEeWSJk5JhmTe17CKNbc9XCTLzxZt8PBpW8BPsbeeZGXrZ50gmHcIGqMyZ1V7qu5uUkLxmSKzhgqlykm24rE6m5dyhQtSYVEpRItFPHI4w3XRrzhFQOOf8ZnpK0OzyqhSPAYCpDa2bZKiMLAziWrKpah3FHJasUFBfCNECXZG3tOjcgCzwrQy4yqLpI95awcIbBlveNM7joulK6NdWWqAXF+HJXn4wU1vHXrNq30+8M76/XgW6RIs/LOaqHTOHBzh+QrA3tch5eMPZ61LEHvMHYB7BzoZdlo1Tmp6m9VpN9T53mClLZTRwYJ9z4W8Gt/PElqvNI5kQohpN0HSJRp+SqDm8qKthZ7V8D9YkAfS/aMp+xduaLJp15lxViidFQKTS6tNy60R5JogiDlZ76/w94THvc+KtGByCBrv0CsFYOKoDKOLFlDkxdeeEZ++efNAspch4vsAtCFZBVFnUpxnHKffKwJojIBy7kg1nJchFMmoER5vILAY2qydeclF25dUVddvqPXbS8e9BQ/jE7wPYHbnV4UOwkq8mU801ip/MuDseJCcctc3WCx1NRlZaBrATqJHCegLAqqzgNuV6p4lYSO7bU8sST4tT+d5IEnm3ZTHmnb0ZA+nhTUJYSSbJMrs7p2u3LPGqCLITnVYUR5zbtUYw3Tjq4vXwvnojerj2tOBs4cQDEu9dyfGVg3mxB6hkeeCVgZuN6vDTPzKeJlxaFFkKgA/6u5Wp0LYUx+uXWLuT3q/u64VVoOvHR/JrLXZSFYufqV3r02msAPOXN24fueenb3Xk+pbClQBuGbgr0r1t6YVqqwN2sFAePauxzl5SYaqvaguy1GVZrINTR3vsPAmnflBpZZKWz2PA1S/vT2Sf7uS01MTYFQFp3CQ0hZ6bcs+xtfpGPeYR/G88oOLty33RPknm/j/MANNKvzC7MgM5sfaDLmNkaXNSpCIrUiFR5ykPLO1w544ZDPr7/fIwoTJ4gSGO0zIuuuyvPrqTWxDaYEZcaihiy7mQ2JzwwgG2zmjJzJFinGFoTs3No0u6iu8KkjR7KLc9yaNvl72d8oE0aZ0tD2/STVyFSjtcFr1uwvJQmMRtXky7gtmDslq1LyYy1bctVF4U4ezZf3qiRxAV8Be87wIgO4o70rDC5Tx0lxwZ0indqTux8N+ePPNBmm2RR8kVuDWdZSmIr2XjM17wJ9lVQbd5ZenP1MFtzl3vOqjCZmVQmtkU5mUzrOilC2MEtmxVlSk2qP0Nd8/1t7PPR0wN1PWrsw98aRAm08Rtq2oxVFJOPWYYbUQkoJgSKXJg7I86YHR3Pnv5NLiiq+ROF9u+AtflbgzKyBRSfw1BbHBsNgmJJoidEGL/B1xlAao8fGbLEWwEtQV5h8TR1uKmCuJnccPS7LjYxkZYnOmwt0CfSKDtdVD3ycvWVaBpheTH8Ev/yBSQ6dDDFeuVtyRXvnEqkC7DFAswaYCwg7Byk/QOcB+fgGAtWMplt85erx1bUpWmYVh9JlcYVINUJ4yEhz0ZaYf/8DbR76qZDuMPsyWhafK8VjmGdYpCNu8wtPAjoDtaFwWFQWUBpJsSewEbkON06Sp7r6lRnNMnisEIODJxgHe/lzxs6DwSAiTaJTjDF49cYsQirEsEMaD1BKOoLeSf6Mna8S9KbCVm4g4TYDuDOjSzZ3Ru+uKVG044M7fYkZmxfMXXFNnN15M8/b82KSFH73Yy2e3FOznrfMmbt0TnxRlSVKjK1kLtjHLm5yUhDl0M21+HoVk485J2UDBGUxk7O7XaXaUFgGL4JOLS3IU2mHUYqsxU14SK25blfMj31bm//+11NEacbiUESFKYqRzrV4lmt3QF5IFOFkOYXdoNe4bC5B6JK5ZTZltshyCipZzgLohUu5uvCq3EF5NVUUElEYjNFsWD/B9NSE3aL85lvfRFhrcuLIczz92Gfw/WDsVOT8Yr+k+4fLf3zsShpj6TVlyhigS8CbMZlS3Z+xZO+01OVuUqdyzwLLWsrnHw754MdatAe+9QAzz5usSdc6J2XW0i3ldXV4aXWuMYOwEpaJ4nUF0muw9iq8V4BucBNAJWtnU2FzSeImgYS1EVOpkEbbepVEMVHT/OC7+jz+fMhdX1bQSDKmzj6hFCRaMiSPKUqQG2xpLIVtaT3vLFa1Zb25hNElS+fypQiGzwP06orouCZZcFkshIIXIQ+IopgbbriOl99wDZ1OD68WKsJQUa8J6rUUKXWlRjn/V3PvkTFWrzD5Gpp8HOwVvS1M1Qd3QF3Zrk6UO+xagKdVv1taK1AW+6rbwFLKBOkl7Dni8fsfmeDAYmBzuJnfbR9lyd6OI1QB+VrypCJNxqY1jVOMe8tl7VgtSsniZWKlaIRgrTT+2JCgvBDL6GJTWZFLFWEQ0kPGhotnEv75t3c5csZj/0mB8VyBJUD6pBnIGQN5Rq8ZsDNBIOw6oDJ2zwPNvBapYHFHuqwF9CpB4gSZawzmFKW8c48fwGBkSLVCKh8hPbz8UwhhxywoT2fbIzu7XRVBUPlPun/UZW4ExR6XFYBLF+ilPKkwdyZVVCZDSiZ3dLfS2evxZE4JdKVSpEwIwoQzbcEvv3+CT3yxgfFVmY7PpMla7K2cC3C1c1KNS8aTOi6jl7queoIqrD0G9vy91TUprg7PAe0GoHnnj8xGCufPs+Az1SRofGldlfZI8tO/qTi7IiB06VZg8AomL+VJdqHljxlrKwlG5/KF0g8XZbFVEWRK65YYp8FFZCW34wG7i6sC1A4/YKqPOSnHicE99J5BgayfQcjPTU5NvSkadjBKlVF6FniYVWfBucLW0N+uFCklytogL8A9HlC6bC4ycOfBpcjZ2mYqZeaa2Oe21iRC86kHm3z+0UZWa5JbgjJj8Jy9y12D3XmDrkZcVRbraHHcEyPWOkasOnbue1XnxEnVY8GTV+m5lYYyc1OKbfWEQIgs8ZM5K1JKtFHZezIbLewReoY3vnzI217Z58/vlESJsGnb/MNLMPgkRjDMOoONcGWKq8ntyGaTMXt5ndiCLOlUJcpMl+ePggz0xnFU8oWCYsEoH0u+LR7zY6eNIY41s7OzKCU/12qGZwaDAXLj5ks4feRzRzw5+B/TMxtsnYZnKkMpS4+5HD5TyTIKtz4kkxUqqxERVmK49SOVbpxKal07/4YDZlkFdylFHNdE5a6JrTdJhOb2e+r8+gcmOLHgQ6AsczuBpcjAXWQtxyoaKwFQZfaJo7RdRs//fywQcnX5ONDXwj3usBvEKklSsHo+AUtLpzFCYnRZo2JJynb+6NS2uMUjxbZZzU//QIe3v7aPLxLQCZjsMXtutCYxMDQQGUGkIdHCjmbQgsSIcm/NyvPsXtlgNt8xm+rvVfbnNNnW4obUjG9Uy9i/YX83SfM7DEYJmzZvpN2L/sdffOwLR6684jK7R08cJ5m9lOArjVCpnYOX99gVy6Mh91ZEti3dKvYeCygLNnclylqBpRjbAz2XKap0TaQjRXJwSyegzC1B3085vCD54Meb7D0YQksVoLaJHau9c2lS9FkyVps+ztzuXebffTz7N8bcY6udG7qPJ3ssa+uxhE/pokgnq+em76WwIJfCFN64KJg9d8W0nXplrDcejwy7Lo75/nd2efTZgCPzzlKlHSbXggTBUJBV7ZkiyCzrUEpdXtSoVFWPTdfLzMYza1iGUL4PiCxjOX4cx1e8fK9MbSBOBUmSEscxcRxbiQKweetOpNegWRtwJnqBUZzaP56K7D8u53aYsT9VCQwKibLaEnSDSSEdieJYhK4NKIrgUlO6KboIMAtZUrxn2dtTKUtdwW//+QT3PFkrqwTzjGUGbiXJdih2xyCXEks5J2AtW3At4K9lYX01N7e7vlJV6OpLk0sWC6hCpggH/E6mUwpjM33aHmstVJb5U/YyEpq0r3nttSP+xXs6/KcPTLE8KN0Ua8SLDOQeSVaS6oIcbYFMDviMLPLP6Ox5VcwVN0JkNdymmEjr3g1lgJmDfjwNXMqSktXjFIapx9btO3j5DVfR6Q7yaxRaUxuZnrvyLpOc+bUwDLKaacfJcIujXBuvmFHyYnft1JKUs/UqciZPvyvXLRnryllVHZg/TyoJnaE0/OHHm7z/Yy26sW8LqXLmzlwTO7uvdE4qRVWUB3c8e1lh6jXBXJ1z/dUgfbWeFBWAV9wWxy4sJYtrIY5PprVSJW9vywd4alPuwdny4Iff1eVH3tmlrhPQaSZVUjCxI1cMiYGRhpEWxNk9MYI4lyjGypdSspSv87r2inQxTr27Xn1P9Ro/M6vvqYEogSCsc+j44q+94vrL79q2dVMJ8LCxg1PP/kQ/lIcPB4E9nGXg57KzIzlEXtY6ll4vakdKYI/bfoUcqbSWlYzt6nKZA1ql2X+XJ3KqzC1lAr7mhYM+f3VXg06cTcYkB7ZXBJiCTJoUd1PR3uN7hBYmmvNeITvE6vcrFupXgfSyXW3MMqQcQFlo7+IicJqSXf29qvNHOoBXVp9rhTYKoxVJrGh5hu96Y4/LLx0hU1ePu2BPS5AbiDTEGbgTk+tyC9ykoq1FRW/rio4u9XkF6EW2luIiqK5mY3ZpFotIBfuPnjz8mnf/fP/yS7aUEgWgtfl7UV6dfnoPYuURhKhVT0/uz4gx1yR/rOhvU5UnzsVSlSWl7haua+L43pXAUjhZyrFUvOenPHPI58d+dZpn94cYX5aypGBw6diCphjkM75Tw1rW4FoypZLYETivSnvlq5IrY55u1RcftwutYyCzOdg6G8aTSxYtbFeWNrLYgl0bmf2OnZAltPXGU4w9n5Hhmktifu+nV/jh/yx49kAWnMj8w4hyOcnkisGCMXDtw7ylLZMo+apoHAmTZfnLR1Pq88JNoXrPj8tahlQuf0ZRwutevYt3vf1Wer0hb/nIfyoZHEB661D+eiKtGCajVayRn6yKxVewN5XiJ1lxQkzBkKUDstqVUWOOSbVCMF0F7twOtODWdI3kDz7e5KndIalyWFuU9Sbg2IIVUFedk5yVx+cOrhoLUQF7yeovUn6ypjypnDQniznO6quZfbVkcffbzCfT5vUpZmwylrUQ7c4RIpVcd/mIf/aOHi2ZzSFeg8UxKWhDqiHK2DzOWLtwWEwpWapuCqvclFxi6ELmlEzutuzlQHbBXUn1BwkzcwE7tqxn25bZ4ncKBl/u1Zho1g88um/9we65TRdfuikCJFpX/8HiJOJ62mW9gZBVrzt3UEodr8cukoy9M29bOIGmyrOTGXtL5YBdJCiR4vkpfQ0f/ESTj3y+ySgH8xhzI+zkgKKg6jzs/aKVgo4/W03mVO3BKrK/kjwZZ++yPHVch2soRhm7jF5KlnyepCxYXRiByGpUhJEIY7K7zAJQhTCGNDUEwvDtb+iz+6jHBz/eohdjD5jOqDB/tDxNqmUZSGapek2+y4I9tjhJn9wbzzO1eXazKKvNSKQo0nIZ2MWfQy4AgUp53ZV13nJT7eC6mdqBZi0u/pviv9+2dTuPP/XA57ZtnPqLHZvnGAwhiiRpapnc/SNrgbuUF6bC4sU+Nq715wSgUo1nIx3Wdq1BB9yFg+IldCN4/981+c/vn+Dcol/Udru1JvYuHPY2q7KVq2a2uEVjjIHdfT3G2pWfiRcHd45qt9CqeK/yUmSMPs7Wjj+eMzbOz7XAdVaqulxVtiq0I+AUG2c1P/cDbf7pO7q0wsSObDWpw+SxfTQpGJv1jjQMNUTaavJYV9k8WZPNRemXrwo2S/Wg3QvaOWx5o0joCTylCWsbSHXrLx5+6POfW7du62oGB9hzyoCUn/ba3tvrpn5to2Z3JVPk/ZTGWZbdAFOvYQm6XrcuNbart0WZpRSVCyDX4WnFHszBnfdXyprh7z7d4FfeN8GZpSyZs4q9qxlLX+RdQ6VzUvG8c0CPM7fjc1fS8Q5Pr5rj+D95c4OoEvyieGPt1H2Z7dRG2G20RQlsYUpPXIictckeZUZWlsXRHnFk2DSd8nM/2GGxI/mLO1pQy+h2FZPbm0YSAybX5EXduGVzleHGTeHn81dk/sXyVrjsPGhtUSwzTx2crGZ2V9JunTg9GbJto3zqFdfEn15ujyrH1F0B+Gff9c1s4YEHNk4ljwWByrTSah1ebU7QlddVC7BsBi6YW63lkuT1J66/fX5wS5miQs2BEx4fuqPJ6fmgBLcYu0uJyDR37px4WWJivFPHbYReFeiMRT3FNFQX01+dKinA/KI/d7zvcRZb5ZFTZjWrrko5MMg2K+d9nPljyeKp47AkkWTTupT3fGOfi7dFEOX6O3dY0tJpyZjcmNJhGWlBbCjuick0uqvNKxlNUdXjhTviWqFlLJKTTH6ujJEcOqYf+1e/8PQDc9u+6/wAB7jhZQ1uvLbB1IQshL4x7qzvtZjbVN2OimWYpeuVU0Oyqgy2WjhltXhpEZbgzrriA83BUx7/4fem+OLjNdtAWfG6q9LEExRjIDy5WmuvNcyn8jtFB/gaMoW8K1w4TL6W41ImMsZdkvyqqMxJMeOP43vWVJdxbao/c4uyDBZUJk/p59JkzCtPjU3la63QQ8HrbxjySz/W5qItkc2kGFeupE5aPwVjVoE80qV9aCVL6YsnZlym2NdFWn4M5JVjMe5sqQDRmEU2ZsfhXJUoABMbvg0pVSSC20nSA/heyTdV7Z2NdnA6ctyA0k3Di0yKVCzE/OKoyJJctpRMXn2doHzNkXMe//EPJvnIXQ0ike1GJar9lTm4JZa9yzrvNbbfFmaVJGENcDIG3AqjfyXidn84Rt8uM41rcfvolMzmr506cXuxmCyDmGc2y0YIqS3ItbABpygyodJmRbVxFh8rWRINNS/h3d/QJ9Xw8787ydFzAvzsFzWlnsvTlBmctBFEWeBopEBj8Mi68LPCPZn990XWs7JUGkwmg/LOfZ0fnzEWV9Kw65KtvOe7vyVKk5Tf/k//4sUBbuQWWlPhT01OX3TF/LlTr9WmW3jZZYo9B4rJJk6t4WVX0vG64ofLAuClBs91tygY3E3sZGl4L+XovM/P/M4kH7u7QSSzQS5irbubsXSG12cab01pwliw6SB33P+ugHqctv8et3Fcu3Xhq9P2OeObQsKIMfbO3xOOFrc63AV5Ng62KIa24M4bipPE4HspnkLCUwAAKwFJREFU3/XmAZ6Cn/2dKY6eC8jmMFcvQo0Vydmx10giLBtXdLnBaUjOhunn2lyWF4HE0fwG0NmOEnmnEGCMZnq6yVVXXPSlyy7a/lPRcLDquK6SKNPTNZ587AudoFbf26yrNPB0Wbqas3fW/DteHOV62G7Ndtk8XKbcSymTVsAtc3A7hVVSJkiVcmpJ8XO/O8nH7loD3KtsQXsQfVnt0lmLvXMwu6PqYFyKjPnfa5KzqYL+fwLd4wHmuC9evmnL3FyZkssdTXWIfllxWG7TV8w5zLV5XnnopPRNlunURpEkEi+Fb/+GAf+/H2uzaTZ2PPExf7y460yXZ2l0R7JEmS5PM20emywDmunwRJeSxa010c57+YZTUQzaeGmjXt97x2fu6oT1xlcGeHFck/aPbZiTzwT+WF1JUUuSg1wXtdoFuMeDzFVBpa4EkgVTC/e9FCXjzDHRpL7gfbe3+MhnG0TKBbQ39uiAW6zOWI7r7qquLgG61ngI1/9eS1+XA9rF/yy+q9nMVUmdqu/tJoAKS5DVDF4tsS07f6wWL4Fd6PGKFi9T+jqVeKnh3W/u84Nv7+GlaWkfmmQs4KwC3Ri7c8hIl0mh3ErM7cTUlDrdrV9xrcWiPsXg6HRBIpvPLCx1f+x8x3ZNgF//8jcQxaPU+DtNknpIme1/49R5561kZa22GQNwHlBq1Fjln6wEmmXZq1SODZgXUSkNnuBzD9T58OcajKTKqNYFtMPelNKk3FfHATQu0PNxvlDZb0eMgdxhaldru4DOf2FVmexXA27nFysyxWH1Va4JuS/O2AWQTb9yga1FldXHQO8WY1kGz8Cds7m2IA+14Tvf1OcbXjlApLr0xt068lV3nQWgFtBDAyMjiHL2NrampXBanKxnkpZFWQWzZxeANlALFbfdtNMkqU7f9o1vWvP4euc78Bfveg1pMvywGe3dmYxONytOiJOSryRwxoPJXHI4wWWZyXSDy5K1heuceBrhwSfvq/FTvzPFC4fCrGF4DWAXr0tpolYFltVETnUchKkAusRsdSu8cd1SSd2PgforgnssjblanjgeOG5gOeaJ57q00qBsKo+6oscBnXng2N2FBVnAaSRoe/FrrWxgJ7D12SlcfXHMf/tXbf6tgjvua2SjXMcvWTP2ps1JFm6OhBTwjCDNVlkt8s4gbOudEHi55iZjodSusGl2LKZn1vVed9uNH2416+c9xueVKBs2bDbDlad+e/2myxYw1sv2sp7NQo6ovA9yrOum6LDRa7N6Lk9y5s4CzhzcStghPsKDv7u3zs/8j0leOJyBe5XXXZUmQmZBJc7ODLn+ZhzULyI31nJVWH13b+N++It63eZF3h+rUcmdEvf1uF6vpOxhlfYus4OOHne1t1u34tiHeYdQmjN5JLnigphf+4k233xb31Kr1mvIE4fdc/mSsbnO5Mkoy4AOc30+lgWNc2sxK41JMnmTd/9ce/WuhS/e/9xvb92y5byH+rwMDtCavYZ4tIIXPIYnl4sWtkqP5JjlV7L1GHML7bB6/lqX4HZ0uJUl8Hf31fl3vzvJcwfPB25ZMjc2oeMX0mT18J68C6cyQPMrgd3F7JiFuEbxoIP2r16Hm7HTU7C18/OyLsWyepEprLC5KR0VsRab51WGuprlzFKLIvsjwkhrpGTNErZ5q6ySIYKrL4r5zz/exhj41HmZPLdAlPM6s2CMtS0Nls0TA15W6akyN8XT9jwakSe8su8hNZvnmtx8w07WzU7+v+19abgdVZnuu1YNezr7zAM5ZDyZQyAhEwkQCIogIjQKardtC8+Vwetw7UbBtr3cRrQV9baz2NoXW6W9j7Yg0VxBRBkSJIwmMiVkJBOZz7DPtPeuqrXujzXUWlX7nJyEQIDu9Tzn7Jr23rWr3vXVu77v/b416rUdFeDZQmeFh6UPt7Z1/KLSf6DgOMSSsjopYDOYPnJSA9wEhouQKAqjgC4oClyCex7N4jPfrscLL/m1wY2E9aZJrYlKYDA0J7Ctd4qSWAPGBJiTYIed+KB6gL16ZIirktwpeoIYuNoBrF2HJv0wOXrsUYmtPNe0xJzYV1l1kegrvSvSsa1/AxU+clCAcBHZVg5FUuU4dUqAL3+8BMaBex/NxX5xdfKExxgncp0rV6I4WAWvqkTqVoiYcNYlBB7lCCXoXS5KWIccICFw8oQJg5zQD0+ddFJltOs7KsB9sp9lWyc+WcitKB3cuq4QhmI7dUz+LHk3uKUUBGzrrTUqelnRkjigQygHdwh++1gWN3yzHhu2yxC8aak1oKkFbkrigI7pDkzrvG3rXTPQAwX2ZDkxYll5BWUN+JF4S2JbgoUYO4g210kprT3oNMBtdgZmfITM4ySIgW75yFWNQ8nFhWNaWHHGubTscvoGycmVRoQoFUk1wimTA3z1f5TAOcH9a7OI9G9W7h71C6jxJx3cXN1X8d2MyIEnAaoE8LgAd0RE1QNPEHAwJ4PLL11RmjVj0pPbXu5jGKXR0Xb6+Q64fvMhoHpFrmlJwHmgSxJ7rqwaZc4YbOhIVG1uqn3akfWnvSQk0oNMTgkeeCqD679Wjw07lL6k1mDS5N3C4tgBHbO2SSLtzLTeqG3JbZCnt2nsJo4ztx9t44k/vd3YmApwwvB5a424Xb9Qp8CZHhVm8vC0d4Vxg4ez2D8u+LrUr3DFyQnmTArw9b/rw4rFZThJvzgbaVl5XwKYGf2cMzAu9OYVBgxGwEAEDEeCo5eDEBevODUYroZXtLfUH5o0vn3U6zoqwAnJYbBvO2hmzh43v2Cb4zXCdarw3BCeGwiQu6EsMB9IwIe68A6lZnKCvaxC70IyCzCH4v4nM/j4VxuwaYcPXWbKcP9Z4NbzHEL7vJWIyrbaZvSylvUeibKky67VBLQJ/GQPiA85Irhrhe91xBJJvq384aaPPA5px0CPXYYcZv6m6UZE7A83g0OMGoNSBWg7IKTch7xKMGNigO98qg9vXVKGEykwszSwaw1CmQJ6ALAqEFUBFoBHIRhjqDKOoQjoDzjaW4q4cNnMbWfPm7Tn+Y07Uch6o17bUQEu7o6DSs99OxxavqapbSYK2X5k/YoEuPhz3QCuK+e/UTMpUNP/HcaWmjBQEoKoZZ+DuQR/eCqLv/3nBmza5YPXHFAqUJuRS2Jl6IxUzzsdjjcts11F18RoirYgbclt8HLrOLF/ZHjz1IJcNcy4SUHib+Qx8FmCpliCLNS06FY5ZhPYSe+JDgSZoqwk4IVF5xWCGRMCfOP6Ppy3pAwaSZeIab2RCAzpAJEENzdBXonBHlURhVWUB8pYfPoMlMrhNf9619odnntk+LpHOqCuYRKiqARKi3v7D1XX9PQ8vLzgl5DPOHIAJPh0fKvtGoYCQGKAIYQ8Bh/3OXZ2e1i7zsfN3y9i0w4f3K/l405QFBmVUTJYnwAuTO6twvLpGom2tU6WvUhTlbijxxxbF9U06YrROQhPg38sVlxbcvlB3ODjMbe2ObgYoBLjGOk7dmKrLwaT6qlg+8cFd1cDTOFmNQegIlOHSkGWKEVh6cElA6YEIAHDrEkBvnV9Cf/4fY7H12ew87AL+PJ3MS7unym+jlVWtTmg9Lhk3SqmdGVxwVmT1vz1pcv39vYPoam+8MoBDgCOU48NG363hdDWb5WDs5b77q+Qq4+H/lEVYNFItzCulaIGHoQANANs2u3hKz8sYtUjWRzscxPgpiMAXU22YVpt6TWRHcqscWKKqxQox+I9SSUZy6CIfQ+I5WVJmfXk9lpXhxu7JUgVzs1XJNaTnhKLqhBAKw6JMeAkcedQGhairT6V7xdz/oBSECPBQRRlFZZcny9NnxStAjMnBvj2jX1Y9WgWX/k/RWze7QG+6o0sBi5q/Tj5hIogRpqACErVBfjLdy7B6TNz31r79B+2nLno/LFAd2wAB4CJJ88C3OYnSevAymdf2HPZfU8/A88FXIfjgoVVNDYwrWlUTyWr6XQMAe4tezzc8i9F3HV/DuVITopDjFF1atmsKyh5N+zCPSm1INJekpG22fLXGKh6c40YfGx7CI5ooo+ipUCdikzaHcF2J0qrDa69cpzIwA9Roj8z3U28kRgRT4q4EwifuuFDZ5BWXnUskXCgXhljoCFHR3OED7xjGBkP+Nx3i9i6xxVFPpXVJolfySSo5SOroYHhguVVuA4HWIRCyyJMmHDGyokTTnty76HSmK/lmAFeqJ+IyuC2HX7zeZ+4c80Lzto/9V2ye08PwirF4nkhGgoRsh7DhcsqOG9xBQ15Bl41b5ZAE/WArXtc3Py9Otz1+xzKMMFtgDlFS2KzGw8qZUBAWVxa22tiWeN4bJp+lUC2NChJC1+Dq+vDiAH4sSI5daiwYJbGZASrriiNmt1MHMs17eDUsOqQfJ3G1hvSHaimSYEOEimLzjRdAaXSksc0hzEKXU8OiPczDlbmyHgMV5w/DHDg5u/VYdvLHuAqS65/KlAF6usirFhcwYVLK8h5DPV1DEvmBSgPA4e6W1HXWFxF2s74xPaX9+w8bfr44w9wAMgUuvDss4/svPIvznrufctfuuSTXz+Eh/9UxO7VAHgEFxF+vTrA2QsquPrSYZw1v4K8xzV9oT7w0l4H/3hbEXfen0MFVKBzRGAbA0rE1KRWsXqHJDg4YnFV2sfNNWhpckCp+mIC3ClaYkIySbaP0pproBrLxljS8otr74myoNIYWgEfkoiGys8RD9ikX9z20DAm6QNlUkNOJaiZZckVmHXVBZOTU4CSCAg5ci7Dey8YBghw07frsGOvC3ji+iMAch7HWcuq+NA7h7B8QQUdTQyuHCgTCty7wcWv1i7Ehz94wXPlg2t3Llt85lFd26MCOADMndsBYMqXf33Pn7oGwN+HwpB284Q8wMvdFL+838VTz/j41JUDeNe5ZbQ3cwQMeHq9h+/dmccv7s+iSiQaiRG+tf4MmqJdhDKnEslSxwLESe6dHDSaXDyp+07y8BQFSW4zOXyiHQtb0UC0LLZCuQHu2PhCJSWL0sam+1AcoOePR8wQdWaM9q4YwSA1e4PhRhRfHCdMKEuuaj5Qk7+Da+vPmAgEspAj4zK8723DAANuuzOHdS94CBhBayvD5SvK+OTfDGBiRwiPAWHooBJ5CCMPQehg2oQ2/EX+5J/vrSz8MqnsPerr6hztGz73uW+jMH5excuNu2fH1sPnHiyFE8uR+YwXyrCeAeDBtR7Wb/ZwyowQv1mTwXVfLOLpF3wEmnKYvHsEy63X42COst6uSmYw6pyoOT2psa7n+ZTcW09RrimNOh0ik6cT+ymJkyHkMpHLojOpGR6IpDjqeGJsi/fX7IA0vY1Su9OJdfv9MZ0iqQ5tUjTAeFrRxDGI753u8LKrxt6keN4c/WRLdHJzv9geR6gcAsyeGuHd51VxuETAQuBbn+7HNVcMo73AQCIgDF1EzEMYeghCH4PlegxXuh5ZcsbM94zLPj4wd87yowb4MQ+N7nnwKTDG//Dpr9z1lud39wOoArwKRNKfGYVAwFCfZXjrmRU8tM5HTx+J50xX7j7QmIKYVWCVUpAKa64ksD4xpvqjxgCT2lk7jp7MSk0JaLsOk9sVIO11NZW53C71Lhq8+jOI/hN5ggbAqQC8Q83jjO8wziOeZNc4d2tCWHt6cz3VYWJuUVESg9nrUsbsUFW515xcIE4C12mGjlmIKU4rdKxUQ7Mwk4h7EDOPVsY+COW6hxKXoLuX4OF1Ps4/s4L6LAOvckQhRRR5CJkHFrkIQheMtiPbft0DAHlrseXoqIlqR/aUj9DmzZ2JeXNnPHHlu5YMnzoxBOURQHyRiCAHLNM6I1x7xTD+59WDuHBpBY6VC2aYAZOOWH9EWw6XCK+JKPdgW2VVFXbUgA4EfVFfSVHbApGRtie5uF63bUTSYpAR99jN1pokw/EGT+cGPdH77UGAXd4tzu5BkqvrlDYzshnLbVWwhzM7EKS3GRFTxc2FR8WWD5gRLcY4fvtYBp+/vYDv35XHlr2uvr6iSL8LkAg7DxYwTN8+XGic+URd06xjhemxA/zktiLGNbmf/dgHzv7GjR9oKxc8Ap9mgKoDhBxLT6ng25/txef/ez8WzAzwuWsH0TUhlK4gJNwapnAqsS4B6xIRvXcprxGtTCYTc4t+WGA1+5eBO0rS6kDZvdIh++TFSOwkpOZRo4J7RAWWgXRbo1JLE06szqCjoYbaUFXIYtYAM1lJyox2xoGfOLVNgpfFenEuo5ycJ5e1yBaEAlt2ubj5B3VYv8HDTbcV8bEvNGDtBh/U48j6QBDm0NefweoXTy17TRd9Y2Co/rOENuNY21FzcLPd8vkv8o9cPWtNNSw4g/2ZZVPbepzOth5M7BjEFz7ch/MXV4SeN+TIFTh6eynWrMtImkISQDaoCY21Jo6kJSPzbjOZ2Jj3PcWxOawZ1LQ2XC2TWC9u8mFqbieGO5Lo9ymervk14mWTl8fr6QFwLQ6ujk9r1+PPMDtmLcEYMXp27f21PUbpp5V93pY3ST4ZY4mDWXXYUJW6BN+9q4DfPpJFQCmiiGLrLh+b97iY0hli854M1r/YDurNqfazyV9+/Lldn3/LsnnhK8HoUXtRku3hx5uq1ajl1ve+dWMV4Uu3/OyhYTqts4IVp0UIhl0QiEydvMdw+dvKWPVIDn/e5MROfw10Et9pxKF45ed2aUL6CltANZLsNakBNyWttWiM7RO3l/WbRiAelmYluXMMrZaaELB94Rhpn0qEINC0RITnpT5GuxANlyAgZzkTH8IZFeUdOIv3acrDtSU33YhxFJTHoi5GQRzl4xQUhbrA+hc93P37HIYCR+pfKeA6WL3Ox+o/BxjXxvHbtQ3s7aTrlktXTPvatt091VeKz2OmKKq9/6/ejRVL9g+/Zfm4laSwiL+0pwPTxjWhXC4iCDKIIhecOSAR0NEeoavTpCkJDm65B6GFVI6hErRlsIpb2x4F0+Kpu5vSm9QCfaoTGIjldjJD0qNgNWIvJHXivBYVsVBbW4hlUhBd9Eceo0pJmD3B4togsEVY8THM4OE6SKRLNBgSWmbQDnM7TDoifqwlw4WwVFtfdrD/gEoadwDqAW4GyNTjhZc6MLGxCZe/fR5n+YkrVz3ZO3zmuZe+Uni+cgsOAJHbhWJ7YXNDU/tHbryq8L3O/AN0YHgYGV8Iq8AAyhl4xI1yzOquJ33dos/FFaniSKUDrpctfzcAYvBw9emp/EvTIqvjamzT0ByhA+hjJMpHMtRjMeCWWpDAim6aFt2y4okAECcy1E4SA1WiwG1GRmOJrazvI4rvSCutfN9UW2ThHxfT2lOAS8vNqLDylBmWP7bk0GCPmxhemdRUzFnquB42bm9GX7iQnbFg5keGvM7NpNJzPKD5yi04AEztWoR9uzPV2WedcfuyU4c/Oa7TQRANgHOCSNa640LeloZAyotie02Sk7OawNWUhaZ13slKVSmVoDXQTPPYWtFKs1MYvwCAPYW3+TKWNqJFr6G4sgpwJrcZyclIrEuZm/UEUB0kPbBMTH1Sa8BpHau8K/YgE3Lduu+EIJ7pzgOhgIseZOvyeGq7/8mp08+43S1H1VNnzTse0Dw+FhwAxk3oQn/vzqiu611bf/Pg5P5d2+4uXrxoBxoKITgHPCWAB7dNYjJiCUPjTWNwu8Tk3zw1Mau1bg2G0gMrmN9uWmkY4Dfuh9m01bbIdmrxmFsMRG5Y8lg6KyWB2oprg29FOQUYCWKrrjQnthUX90JZb+ujSfw58RNATQwcW3IRylfCLCqnTFHLTNRITF51QgQ9QQYFj+NDF7Xg2r88p7+h46ytO/bsi+bMnnK8YHl8LLhuTh32H6Krzlx01kcvfssl3b1D7SgNuogiV+gXTCgkfd5yYKlcgh7l6bIPpFYyQ2y9aw0okwKpdAeI0WyDmdgdBGlQ18B4OnQ/CupT2fTJ9cQ20yduUZGEjsU6zuTW2j9uWHyjgrBVAUtPgZIoO6FfqcXPuZEMYVlyyc9tS0AB4sP3gDldRSw4/dLuqVPP/qjPhlY11Y9c4+RY2nGz4ABQLAp/5eGe7jsaxy13N+4Kvoyhe9qaG7bB90OQinHHLWriaGQk59CxopUmuGka7Gkg25YeCcDWDDcb++IbYiwmtluWvgaYj8mq1xBbpV615NTYIfUnmo9rr4kUZcljTaAzomQl3Bjcyn1aD06FrkR2Nqo4ORPeFKVVITKBmRMaV7jVdEX+MM6BqrDpi2Y14GufWnJw0cKlnw7C4I72ceOOJxwBHGeAq9bS1IxqZeDfzjv7Atq9a+eX7n18Z1sh5+KU6YF4xMukBe33Nnze5tTadm2TkcGtwGX7i+1UNAU208FRc2Bp7ktwclifY8+wZh5CyAi9Y5Rmlo/Qg0XY69bxyf2JV8LViSsSHtdKIYgFWlBgl2AWL1wCn9ggB4PyEupOxkTSN1MJIXoWCS54PCWgMiuHcw7HC/G2pX3I+SG6Ziw7OHvWBZ/pK7F/a2k59mDOaO34UhSj+Zk6VHp+fLvjuTfevXZR96PPNYNTKqaurOE5UdP7+ZKaCK2JPVnUSOAmqWVuc3CTkliWPubT2opLS2djNJ2iNlI4k4wNz3FLDCBrbVfrybB9PMok9nvkATUpSipRWUUwE649FicpmxPLmrO46XWdp2lXxooHnMKgRREBIg+Lpru46UOd3S1N7o3/fMeq21taiq8WDF8dC65aXceHceM/rfzJKVObqhctDP7l6ecfKz7zUkbWOokjmISqYplcDi7NGdDGCG4oDwtPURXAWEeMTY5YYZeiL4n3KzOexvXIqB8L2I/kEtcHqRGgSVUU5UDSohM5sDQHqrAqXgkrLgei8nNEjR9inZPOtq1FV5i6ItS4dmruH4BRCXhCEVZczJ0UYfY0hp3dS/ozuc6PX3ch+1n7tL8+7rgz26sKcAC44a/6WOuEws8f/eOk8K7V+PGWXXuy4noQTU8o5Lzx1KjnbYDcBLaeNIrGLsNYTsptYJPa1lu82oNI3RJelNR+pF2JpMZBR2PIObc7QxydTNAV9UdMj4h8L1cnFPsFTT+49rjwmF0k9S2AmI1BwTaGrswtVvV6GBUF6s2kTbMiljQygqJQrVuZ1Ebx1etPLq9+ruPqr/1i8l3jWrpHLdpzPNoxjYGOtr3nEz/Cmufbnesu2nHZSfVb/v2eNRuzq9Z2APkCKHWQoUCOcglyroVVjikJTQwmk25BmsyQRy3qYi7HGg9Tvqr3yQ5kyWVN/YnWjpjbpC5F6lpiPXisY1GSWlPvYo4t7PNRc4vCvg5a/gp7OvXUK9fGgViz3ikQcvk7FaUzXhFLbK1tesIDe/oZc2IxVRzKcSK4boCGwiDuXsNxcGhx+awzxn1g/jyyEkEUEf/GVx17r0hsNdb2wuMr8eTKM/kVl128scHf8uL+Q9mLV6+vejSTQdYhyDkC3C7lsf9b6qNtL4otlqpViq2moCgBJrGf2AKnJLhJEsCIExyoKTyyRVXmcVpoRZPHpV2WyafNEf9whHXjSaQEWkBi3GE5/8Xe+DX9DFPvjWUEyffF56JlspzDc6vYVZoztGHfjCv7wivv+sOanWz50o++FtB7bQAOAN/93j247OIJmLtg0QtzzvW3Ezd7fqV/IJshDK4qnCkpikMNC66BHicIxBbP4OOwb7S62GOy4BYwEhk3SVAbCkKdAaSX02CmlNToCOkBcLJMBWr8pmStxFq/WakWzc/WdMqkaRq0an8a3BqkhGhvi9m40W1UIwavjyKKiLkg/rS+CeMmXXfJO/7w80efCHDDtVe/VrB7bSiK2f7mH36ExZNb0FcOPjjQP/S1+x/d2LJjXy9yPkWGAp7D4clHsGmpTVpCE6lVtcLoSauWtPJJgFspadY2g2LUoiUW7YhT02yaUuNY81xM7ToxOzJPyXrVtjQ1gUVJrEwfwuW5xHTDVl9yY0zBrc6lhWoJGqNojzmLtStnrXadCA6tAk47svWnH/b9/PVBlPtJMbsNxfE3vKZ4e80BrtqBg73I+u5/+8Ev1976nZ8+1FYp9aIhS8Ugk9oJC7GV5LaFToAaiXU9+KzxiFcAT/PwJDcnOgeDEpKgMLYl11ZcWeqxAjx1DjFgkx3ATk8baRtPcfEkwC13qgFqO6jFE9dZXv8kvycxwF2HIeMNo1CXR137JQezTRf+PefBD7O5phOCs1fdizJSa29rxMHeoR9e9e6zCQH50v/9xe/bhkq98DwHrkM0MBWwa2Xm6JYEuPFqgv+Ivdk4WD/G1fepwEny+42nR+06J2Nr6qstRSBEPe9an6vmmzR/XK1gUFKdiNhzqD0pioJoF4vab0hvzcuh3I2Mx08Pxh1EEUFII2SyzSh2XHCw2Pa2zwDsh8Q5MeAGTiDAAaCtMY++0tDtH7x0SdhaIF9fde/qpgMHDiMIuaQBaZ93LfzwGiu1fNBJnIyIRQPEMUdNrOtgkDloS34MOdI3xedmufvit4wcqYThCky8f4SvM3+LeYx6L08EjGz7Lbao38kIF5JaAnApaAkjH4W6k9Aw7uyeXNPSG6KI/Nj1X70gzljaCQU4ADTU5xFUq3dccv7C7kP7907tH57ylZ+tetxrygG+Ry0+SFNWTL4aAv6kJUv6mJPvtwZqGOHJkHh6wHyPgZrkQDL5MdZ31zhfHZcxgQxDWZjQlqSCREaNlBHbKOfFE9bbDOXH74i9VkxeGA8RCtlh5FvODRjP3ljfduZWQnO/cb3RSxu/Fu2EAxwAPN9n657ZtOojV13s3/vHTUPDoXPb839eT3hYplWZkafKLgCxOF/dEBUtsG8QNDATRrF2GwHMltVD2g1nHTOGjz/S9mTwxlLIKsttG1Vwy/QfuZnnm+TdAHQZN52YzM3oJgElHI6cdme4QlGsy7COCQt5XdOMj0Xegh8NlPZU206aMebzeTXb6wLgAHD6aTPw0GMbquM7O+7oK1Uf6modfs/W3fu/sObJPci5FLkMjW+0vvgqvKwKv8tm6jUAqACfhQ1yZEgQ458AvYFyJLYnLLrp704286miOqXFLiwLXoOmqPfVOKb2+ZuAlgNKQ9Ig1eCxMeAqVQ2p9DXOxZO04AYAGUKVT8Ywn/C/mlrH/yJb174rCDZX863zTzScdHvVxFbH0lYsnY0lp00entR0cNO118y71W/uumXazBlRQzGDQgbIegSeK2bwFr5xIwhjclbjM1MaamPbmFvisa7/jO+NfdcJvcoI/MjUSpnraS23+FZbiKVgaXPmUc8/mdkE6SUhMeDNj2Nc5GpGeio/giAkGK5Q9PYTlKsZTJg4JTp9XvMt3/nVVbf+/o/lTV5+5nC+Yf6rAY1jbq9ZoOdo2o/v+DnClov4P33ifQ/du/KnmZZ6ZwkLB9zDvWUwFhfbNyN0qrhNrZQu1WxgmqUX4m2pKldWxau4wpUd9TTKs6nADmpHLgEyOs0xOw1gvTdejmdoJmbUFbbcIHYHGlFfI3RvuQqJtOBKSchEWQdNVxiBmISMYqDaiIlTl1ZOWXDZV0+acN5Na1d28kXL3n+iYVOzHaNT67VpvX0l1GUJqiH/0gubti277YeraHO+smz7rsPuUJmikBOPz0qVoRJAz3HOYmNk+5lJwtdMiB0lJcRaTgLcoYkATqo+So3aJ7Dpi70v7Z8f0S+uAzywfN6O+UoAxzHLtTFdts3RvmuOeDZq1ZnEs4BxIWkNGUWl6qBcccA4kM8G6CkxMNoWTjmZrB0//Z2spX3q2nKZf6ap0UEud2I9JaO11zXAzfbomnuQ8b1ib6n0g0fXbXnvk+v207ZigMEqwaHeCCwS4A6iGt4RAl1wUwFEDVoVoFWNwVgSIJcNq5205nH00gzNx1w9CebkNiANdBPcNYM8ukNKQFMx4KNKgWkA3JH1BnUHcLie21QU9jXEVLLuSRhShIwiYsCBww56+l3MnEzQH7Yw5s38D89vvJaxSv8Vl110oiExpva6GWQeqZ25/B14ed/m/hl12Y/XNY/f4jrPzp3YWrps3Yb12Nvtw0EWpTJBxES4XwFZPMo5wAQw4oI4sAejCZe1+QSIeSuxrTKp5Rq0wV3L8W4OLIF4cGjGWax64MTm5LpEsvw+M0E51fSAkms64ugwfhzZdCiH5zKEoYe+AReE9GHjrgANTYtR11S/smvC3OfcXOc3eVTunzpl+omGw5jbGwbgANB50nQAOHTwwMs3TbvqlElseD1yDZnLduzbgqJXxZzGQTz85xyqAUUGhoeBEoCKKT2oydVN14Xl4067P5K82VQZgowsqDK9NmYzU9TULkbiUb8GOJNqayXEUTmVajoTmF9grvH4KYH4XBRNUSBXx/lehCAaxgPrfGQdHzO6mnDa/OnIFBasPG3J7L/t7hnYMXni2GdWeL20NxTAVWtr70RU3beDNs+6oWF75o6r3j//E5lo8zlh8CCe2DiMMCqI+SEBgIipoSHD3kw6DkRLxLGT3hJj8GlyaktvkjomWcPP/Ex7Qy1Pjp1CYFtude7WALrG4NoEe9whYyvuUA7XUdOnA5w7CAIHPQNVPPFiAW9duhBz509bXSg43yxFs5/pLlV3TJ70xgO3uhJv6MYFSmbs2vLwuG0Ho+8/sGb7tD3bn3MGwwE8+nwWdZ6wtFmPI+NyeA4sCa7jECHNdcQg0nQ/6ldH1fg2+XiyyH3shVHLo56z8fRQwDddnqmBsTEYjmXEkn/LdZdyOI7Y5lImlwWYHapoSISMFyGTCUEIkPGqePCZLFw0YenirijKdW3Zsi173eWXnLsXwKbRfscbob0hLbjZ5A3Y9PCfejYxL7rwnDOaTu66fOGdD629r377ge5ChvThQMlBJaTIeUZU0Ix6Wh+I2FVX09uRtNq2e9DUYyebOeWfmSCssiIZs7k7pWnubddCUQWBxI9K/g7xMbE7EBCeEs+LwFDG/kM+OtvrwTNTBk9feFGptaVyRUdn+555pzg73ujANm/nm6ZJa06BvoZ1z2xdGlTID3bv21D303s2N+7Y2o2OeoahCkMQAlmfwHeFddYJFg6B69gW3NHr0oI7BA6JLbiVqkZN/3zMeswBLWM8FYwybwaRnUXnn1peHjPIxeVy/OpK6+05TCxTDsdh8D0G3wsRBATlqo/OtmFki7R/V9/S7uld892Is2vcwrTHpnQW+yoBWNZ/88DizfNLjLZz58ug1KWbn7mPzD/z3Vce7u2/fuWvf1ftPrCL7OkuzdqyO8pm+SAynjDFlAK+S+C5BK5juA4pEfRELVOq16kGeQxus0aL9pDIfyoQxRiXyzzFwXWAiMafF/vlFaWCdgc6VMxTatIWzxXeEM+VhU85R8aP0NEG7DqYLVeDjo2zZoz3ps6cf8fbr/z4//7J12/PtLcWykEQsYbmk070rTvu7U0JcNVKAwEopejp6yO/vPtezJruOsX6/G1r10czDu996ewDBw44ew4MAjyCQ0Lksw4yvmNl7biOAr0CO9EW3QS3Q2ENLk3LrcAdMQHwyAC5GiSmoqvG5zsGB9cgd8R4QgFc+cldGsF3QxTrCFyXoH+4iNa29mhaV/sjz+7Mb6qWyx/p6uDRjDlnIIpCnq+feqJv06va3tQAr9UOHeqF5/tNpb7uL95z3wP+fWu2Re1NmQW5DF/Y39eNSmVIcgsKSgl8z4HvUXgu0UEdqqlKHAByKQy3ISwOInQdQBgCYcQRRgLkFm9WA07J4x2HxgNaYlhuuew6kJZapI1VggiMC/lxR3sTivnwad/t+1P38Axn/qILqm2tzf9QqVR7cvmGE30LXtP2nw7gyfbr3zwIEJwTBsEFQXXoimq1PLNUGsRT6zeBIgRBANfhyPgOfNcBkcB3XaqtraAGAnRqEKvr+MkrHEUE5SpHNeAoVxkixiw/uZm04DgEnkut9DbXFU+OKGTgPETG5yjmHTTUe8jnHNQ1TQd18qiry77YWJ+7M5PxfgeO1VNnn3OiL/EJbf/pAa5ad3cPQHBhFIZT9x04zL77r//BpkxonTK+s+3vD+x/GXV5Hy9u24tDBw+jud5DU4OoylUaBPJZgvo84LpytgQQRFI6kPU5XJdj32GGauCgLgeE4TD2HQYcR1AiFnFEjAn6EnG4LkEx7yGXpSj1B6gEIRrrXbTUR8gX6kD98ch4ESZOPBlh5dCtiA5uP2XBFTSba6au52wFcF99fdOJvqSvi/aGdxMer9bc3AQA96n1/QcOwPf9xr17963d9KKHYsEPvMYpf5d12Nuaiw4aChG2b30Ev38sRGMxg/YWhnw2xO4DQMapYH93iN4BF1PGEdQXBvHAMyF8VsB5Czgc9zD+vCWPpkIO7U1AaaCKw71AY0MOpTJBDkAul8HkzgjrdzRgxfKFaG300doYIpet3v/cJvfr+SzzpkybhbbWk1ZXg2pvU1Prib6Er8v2XwAfoXW0twNAL4BfA8DTG3ajcTw21nm8oy5HWc6voNTzGIKQwXVdFHIR8tnBYPrMs29uzPe889ntQ0GmN4PJkynaWgYxt8ThBHnMnMkQkH7M6s7ipPosZk/hOFQaxvaX67zpkxr+37/f/djN2aaM53kuGuoYaDaPOXPmoKUhg0IhonV1wf6ps7Cd0Df34PB4tf+iKMexPf3UEwBIR87Z2bBuyyDv68tg9iQHbS1DWPMcwKs5nDEnwjAbxmPP+jip3sfsKQwHS0PYtqeRLJrb2cc437906dIT/VPeNO3/A1N8IuzGnq1MAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE3OjU4OjIxKzAwOjAwJU4iyAAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxNzo1ODoyMSswMDowMFQTmnQAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 47634775
    {'hecke_orbit_code': 27022559870453296, 'n': 1, 'trace_an': 8}
  • id: 47634776
    {'hecke_orbit_code': 27022559870453296, 'n': 2, 'trace_an': 0}
  • id: 47634777
    {'hecke_orbit_code': 27022559870453296, 'n': 3, 'trace_an': 0}
  • id: 47634778
    {'hecke_orbit_code': 27022559870453296, 'n': 4, 'trace_an': 0}
  • id: 47634779
    {'hecke_orbit_code': 27022559870453296, 'n': 5, 'trace_an': -8}
  • id: 47634780
    {'hecke_orbit_code': 27022559870453296, 'n': 6, 'trace_an': 0}
  • id: 47634781
    {'hecke_orbit_code': 27022559870453296, 'n': 7, 'trace_an': 0}
  • id: 47634782
    {'hecke_orbit_code': 27022559870453296, 'n': 8, 'trace_an': 0}
  • id: 47634783
    {'hecke_orbit_code': 27022559870453296, 'n': 9, 'trace_an': 0}
  • id: 47634784
    {'hecke_orbit_code': 27022559870453296, 'n': 10, 'trace_an': 0}
  • id: 47634785
    {'hecke_orbit_code': 27022559870453296, 'n': 11, 'trace_an': 0}
  • id: 47634786
    {'hecke_orbit_code': 27022559870453296, 'n': 12, 'trace_an': 0}
  • id: 47634787
    {'hecke_orbit_code': 27022559870453296, 'n': 13, 'trace_an': 0}
  • id: 47634788
    {'hecke_orbit_code': 27022559870453296, 'n': 14, 'trace_an': 0}
  • id: 47634789
    {'hecke_orbit_code': 27022559870453296, 'n': 15, 'trace_an': 0}
  • id: 47634790
    {'hecke_orbit_code': 27022559870453296, 'n': 16, 'trace_an': 0}
  • id: 47634791
    {'hecke_orbit_code': 27022559870453296, 'n': 17, 'trace_an': 0}
  • id: 47634792
    {'hecke_orbit_code': 27022559870453296, 'n': 18, 'trace_an': 0}
  • id: 47634793
    {'hecke_orbit_code': 27022559870453296, 'n': 19, 'trace_an': 0}
  • id: 47634794
    {'hecke_orbit_code': 27022559870453296, 'n': 20, 'trace_an': 0}
  • id: 47634795
    {'hecke_orbit_code': 27022559870453296, 'n': 21, 'trace_an': 0}
  • id: 47634796
    {'hecke_orbit_code': 27022559870453296, 'n': 22, 'trace_an': 0}
  • id: 47634797
    {'hecke_orbit_code': 27022559870453296, 'n': 23, 'trace_an': 0}
  • id: 47634798
    {'hecke_orbit_code': 27022559870453296, 'n': 24, 'trace_an': 0}
  • id: 47634799
    {'hecke_orbit_code': 27022559870453296, 'n': 25, 'trace_an': -8}
  • id: 47634800
    {'hecke_orbit_code': 27022559870453296, 'n': 26, 'trace_an': 0}
  • id: 47634801
    {'hecke_orbit_code': 27022559870453296, 'n': 27, 'trace_an': 0}
  • id: 47634802
    {'hecke_orbit_code': 27022559870453296, 'n': 28, 'trace_an': 0}
  • id: 47634803
    {'hecke_orbit_code': 27022559870453296, 'n': 29, 'trace_an': 0}
  • id: 47634804
    {'hecke_orbit_code': 27022559870453296, 'n': 30, 'trace_an': 0}
  • id: 47634805
    {'hecke_orbit_code': 27022559870453296, 'n': 31, 'trace_an': 0}
  • id: 47634806
    {'hecke_orbit_code': 27022559870453296, 'n': 32, 'trace_an': 0}
  • id: 47634807
    {'hecke_orbit_code': 27022559870453296, 'n': 33, 'trace_an': 0}
  • id: 47634808
    {'hecke_orbit_code': 27022559870453296, 'n': 34, 'trace_an': 0}
  • id: 47634809
    {'hecke_orbit_code': 27022559870453296, 'n': 35, 'trace_an': 0}
  • id: 47634810
    {'hecke_orbit_code': 27022559870453296, 'n': 36, 'trace_an': 0}
  • id: 47634811
    {'hecke_orbit_code': 27022559870453296, 'n': 37, 'trace_an': 32}
  • id: 47634812
    {'hecke_orbit_code': 27022559870453296, 'n': 38, 'trace_an': 0}
  • id: 47634813
    {'hecke_orbit_code': 27022559870453296, 'n': 39, 'trace_an': 0}
  • id: 47634814
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  • id: 47634815
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  • id: 47634816
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  • id: 47634817
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  • id: 47634818
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  • id: 47634819
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  • id: 47634820
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  • id: 47634821
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  • id: 47634822
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  • id: 47634823
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  • id: 47634824
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  • id: 47634825
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  • id: 47634826
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  • id: 47634827
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  • id: 47634828
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  • id: 47634829
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  • id: 47634830
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  • id: 47634831
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  • id: 47634832
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  • id: 47634833
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  • id: 47634834
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  • id: 47634835
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  • id: 47634836
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  • id: 47634837
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  • id: 47634838
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  • id: 47634839
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  • id: 47634840
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  • id: 47634841
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  • id: 47634842
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  • id: 47634843
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  • id: 47634844
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  • id: 47634845
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  • id: 47634846
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  • id: 47634847
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  • id: 47634848
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  • id: 47634849
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  • id: 47634850
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  • id: 47634851
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  • id: 47634852
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  • id: 47634853
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  • id: 47634854
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  • id: 47634855
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  • id: 47634856
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  • id: 47634857
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  • id: 47634858
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  • id: 47634859
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  • id: 47634860
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  • id: 47634861
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  • id: 47634862
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  • id: 47634863
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  • id: 47634864
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  • id: 47634865
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  • id: 47634866
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  • id: 47634867
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  • id: 47634868
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  • id: 47634869
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  • id: 47634870
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  • id: 47634871
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  • id: 47634872
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  • id: 47634873
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  • id: 47634874
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  • id: 47634875
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  • id: 47634876
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  • id: 47634877
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  • id: 47634878
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  • id: 47634879
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  • id: 47634880
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  • id: 47634881
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  • id: 47634882
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  • id: 47634883
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  • id: 47634884
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  • id: 47634885
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  • id: 47634886
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  • id: 47634887
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  • id: 47634888
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  • id: 47634889
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  • id: 47634890
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  • id: 47634891
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  • id: 47634892
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  • id: 47634893
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  • id: 47634894
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  • id: 47634895
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  • id: 47634896
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  • id: 47634897
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  • id: 47634898
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  • id: 47634899
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  • id: 47634900
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  • id: 47634901
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  • id: 47634902
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  • id: 47634903
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  • id: 47634904
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  • id: 47634905
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  • id: 47634906
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  • id: 47634907
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  • id: 47634908
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  • id: 47634909
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  • id: 47634910
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  • id: 47634911
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  • id: 47634912
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  • id: 47634913
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  • id: 47634914
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  • id: 47634915
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  • id: 47634916
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  • id: 47634917
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  • id: 47634918
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  • id: 47634919
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  • id: 47634920
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  • id: 47634921
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  • id: 47634922
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  • id: 47634923
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  • id: 47634924
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  • id: 47634925
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  • id: 47634926
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  • id: 47634927
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  • id: 47634928
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  • id: 47634929
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  • id: 47634930
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  • id: 47634931
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  • id: 47634932
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  • id: 47634933
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  • id: 47634934
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  • id: 47634935
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  • id: 47634936
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  • id: 47634937
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  • id: 47634938
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  • id: 47634939
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  • id: 47634940
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  • id: 47634941
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  • id: 47634942
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  • id: 47634943
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  • id: 47634944
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  • id: 47634945
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  • id: 47634946
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  • id: 47634947
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  • id: 47634948
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  • id: 47634949
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  • id: 47634950
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  • id: 47634951
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  • id: 47634952
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  • id: 47634953
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  • id: 47634954
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  • id: 47634955
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  • id: 47634956
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  • id: 47634957
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  • id: 47634958
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  • id: 47634959
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  • id: 47634960
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  • id: 47634961
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  • id: 47634962
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  • id: 47634963
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  • id: 47634964
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  • id: 47634965
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  • id: 47634966
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  • id: 47634967
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  • id: 47634968
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  • id: 47634969
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  • id: 47634970
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  • id: 47634971
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  • id: 47634972
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  • id: 47634973
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  • id: 47634974
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  • id: 47634975
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  • id: 47634976
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  • id: 47634977
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  • id: 47634978
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  • id: 47634979
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  • id: 47634980
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  • id: 47634981
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  • id: 47634982
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  • id: 47634983
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  • id: 47634984
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  • id: 47634985
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  • id: 47634986
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  • id: 47634987
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  • id: 47634988
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  • id: 47634989
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  • id: 47634990
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  • id: 47634991
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  • id: 47634992
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  • id: 47634993
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  • id: 47634994
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  • id: 47634995
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  • id: 47634996
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  • id: 47634997
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  • id: 47634998
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  • id: 47634999
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  • id: 47635000
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  • id: 47635001
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  • id: 47635002
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  • id: 47635003
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  • id: 47635004
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  • id: 47635005
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  • id: 47635006
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  • id: 47635007
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  • id: 47635008
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  • id: 47635009
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  • id: 47635010
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  • id: 47635011
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  • id: 47635012
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  • id: 47635013
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  • id: 47635014
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  • id: 47635015
    {'hecke_orbit_code': 27022559870453296, 'n': 881, 'trace_an': 16}
  • id: 47635016
    {'hecke_orbit_code': 27022559870453296, 'n': 883, 'trace_an': 0}
  • id: 47635017
    {'hecke_orbit_code': 27022559870453296, 'n': 887, 'trace_an': 0}
  • id: 47635018
    {'hecke_orbit_code': 27022559870453296, 'n': 907, 'trace_an': 0}
  • id: 47635019
    {'hecke_orbit_code': 27022559870453296, 'n': 911, 'trace_an': 0}
  • id: 47635020
    {'hecke_orbit_code': 27022559870453296, 'n': 919, 'trace_an': 0}
  • id: 47635021
    {'hecke_orbit_code': 27022559870453296, 'n': 929, 'trace_an': 16}
  • id: 47635022
    {'hecke_orbit_code': 27022559870453296, 'n': 937, 'trace_an': 0}
  • id: 47635023
    {'hecke_orbit_code': 27022559870453296, 'n': 941, 'trace_an': 0}
  • id: 47635024
    {'hecke_orbit_code': 27022559870453296, 'n': 947, 'trace_an': 0}
  • id: 47635025
    {'hecke_orbit_code': 27022559870453296, 'n': 953, 'trace_an': 0}
  • id: 47635026
    {'hecke_orbit_code': 27022559870453296, 'n': 961, 'trace_an': 216}
  • id: 47635027
    {'hecke_orbit_code': 27022559870453296, 'n': 967, 'trace_an': 0}
  • id: 47635028
    {'hecke_orbit_code': 27022559870453296, 'n': 971, 'trace_an': 0}
  • id: 47635029
    {'hecke_orbit_code': 27022559870453296, 'n': 977, 'trace_an': 128}
  • id: 47635030
    {'hecke_orbit_code': 27022559870453296, 'n': 983, 'trace_an': 0}
  • id: 47635031
    {'hecke_orbit_code': 27022559870453296, 'n': 991, 'trace_an': 0}
  • id: 47635032
    {'hecke_orbit_code': 27022559870453296, 'n': 997, 'trace_an': 0}