Embedded newform data - 2790.2.d.h.559.1

Formats: - HTML - YAML - JSON - 2026-09-20T14:52:26.856510

• 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': 11160, 'analytic_conductor': 22.278262163937228, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [2790, 2, [2171, 1117, 1801], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 559, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [4, 0, 1]], [11, [-4, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31525403583580902, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2790.2.d.h', 'level': 2790, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 31], 'level_radical': 930, 'minimal_twist': '2790.2.d.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q-i q^{2}-q^{4}+(-i+2)q^{5}+2 i q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2790.2.d', 'trace_display': [0, 0, 4, 0], 'trace_hash': 1218259297271303076, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.003', 'prec': 4}, {'__RealLiteral__': 0, 'data': '1.827', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.154', 'prec': 10}, {'__RealLiteral__': 0, 'data': '14.229', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.475', 'prec': 14}, {'__RealLiteral__': 0, 'data': '141.405', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.523', 'prec': 10}, 'traces': [2, 0, 0, -2, 4, 0, 0, 0, 0, -2, 8, 0, 0, 4, 0, 2, 0, 0, -8, -4, 0, 0, 0, 0, 6, 4, 0, 0, 4, 0, 2, 0, 0, -12, 4, 0, 0, 0, 0, 2, 0, 0, 0, -8, 0, 0, 0, 0, 6, -8, 0, 0, 0, 0, 16, -4, 0, 0, 28, 0, 20, 0, 0, -2, 4, 0, 0, 0, 0, 8, 12, 0, 0, -4, 0, 8, 0, 0, 8, 4, 0, 0, 0, 0, -12, 8, 0, 0, 12, 0, -8, 0, 0, 0, -16, 0, 0, 0, 0, -6, -8, 0, 0, -4, 0, 4, 0, 0, 4, -8, 0, 0, 0, 0, 0, -4, 0, 0, 24, 0, 10, 0, 0, -2, 4, 0, 0, 0, 0, 8, -12, 0, 0, -4, 0, 12, 0, 0, -8, -4, 0, 0, 0, 0, 8, -12, 0, 0, -8, 0, 24, 0, 0, 16, 4, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 24, 0, 0, 18, -24, 0, 0, 0, 0, 16, 8, 0, 0, 8, 0, -44, 0, 0, 0, -4, 0, 0, 0, 0, 8, -44, 0, 0, -24, 0, -6, 0, 0, -8, 8, 0, 0, 0, 0, 0, 4, 0, 0, -32, 0, -8, 0, 0, 8, 8, 0, 0, 0, 0, -16, 24, 0, 0, 4, 0, -4, 0, 0, -28, 0, 0, 0, 0, 0, 0, -28, 0, 0, 24, 0, 36, 0, 0, -20, 12, 0, 0, 0, 0, -22, 40, 0, 0, -16, 0, 2, 0, 0, 8, -4, 0, 0, 0, 0, 4, -16, 0, 0, 20, 0, -32, 0, 0, -4, 24, 0, 0, 0, 0, -8, -24, 0, 0, -12, 0, 16, 0, 0, -38, -4, 0, 0, 0, 0, 56, 4, 0, 0, 0, 0, -16, 0, 0, -8, 40, 0, 0, 0, 0, -2, 20, 0, 0, 16, 0, -8, 0, 0, 16, -4, 0, 0, 0, 0, 16, -28, 0, 0, 0, 0, 0, 0, 0, -24, -4, 0, 0, 0, 0, 12, 8, 0, 0, -8, 0, 36, 0, 0, -44, 12, 0, 0, 0, 0, 24, -12, 0, 0, -36, 0, -6, 0, 0, 8, -12, 0, 0, 0, 0, -8, -8, 0, 0, -48, 0, 0, 0, 0, 40, 16, 0, 0, 0, 0, 16, -8, 0, 0, -28, 0, 0, 0, 0, 20, 16, 0, 0, 0, 0, 6, 28, 0, 0, 8, 0, 8, 0, 0, -76, 0, 0, 0, 0, 0, 24, 4, 0, 0, -12, 0, -28, 0, 0, -4, -48, 0, 0, 0, 0, 16, 20, 0, 0, 4, 0, -4, 0, 0, -64, 8, 0, 0, 0, 0, 24, 8, 0, 0, -60, 0, 0, 0, 0, -24, -16, 0, 0, 0, 0, 0, 36, 0, 0, 4, 0, -20, 0, 0, 8, 0, 0, 0, 0, 0, -24, -24, 0, 0, 84, 0, 8, 0, 0, -10, -24, 0, 0, 0, 0, -6, 48, 0, 0, -16, 0, 2, 0, 0, -24, -4, 0, 0, 0, 0, -16, 0, 0, 0, -68, 0, 24, 0, 0, -4, 4, 0, 0, 0, 0, -8, 0, 0, 0, 12, 0, 56, 0, 0, 46, 8, 0, 0, 0, 0, 8, 4, 0, 0, 24, 0, -36, 0, 0, -12, 8, 0, 0, 0, 0, -32, -16, 0, 0, -44, 0, 8, 0, 0, -16, 4, 0, 0, 0, 0, -4, 4, 0, 0, -60, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, -8, -48, 0, 0, 12, 0, 44, 0, 0, -8, -28, 0, 0, 0, 0, 48, 8, 0, 0, 60, 0, -36, 0, 0, -24, 20, 0, 0, 0, 0, -20, 0, 0, 0, 52, 0, -16, 0, 0, -80, -4, 0, 0, 0, 0, -14, -60, 0, 0, -24, 0, -16, 0, 0, -68, -16, 0, 0, 0, 0, 2, -52, 0, 0, 0, 0, 48, 0, 0, 112, 12, 0, 0, 0, 0, -24, 0, 0, 0, 84, 0, -76, 0, 0, -24, -16, 0, 0, 0, 0, -8, 80, 0, 0, 20, 0, -18, 0, 0, 48, 24, 0, 0, 0, 0, -4, 40, 0, 0, -8, 0, -24, 0, 0, -48, -16, 0, 0, 0, 0, -16, 64, 0, 0, -8, 0, -68, 0, 0, 52, -12, 0, 0, 0, 0, 16, -8, 0, 0, -48, 0, -8, 0, 0, 44, 12, 0, 0, 0, 0, -24, 48, 0, 0, 24, 0, 0, 0, 0, -32, 4, 0, 0, 0, 0, -16, -16, 0, 0, -16, 0, 48, 0, 0, 8, 48, 0, 0, 0, 0, -8, 12, 0, 0, 44, 0, 48, 0, 0, 28, 32, 0, 0, 0, 0, 6, 24, 0, 0, 0, 0, 48, 0, 0, 6, 16, 0, 0, 0, 0, -8, 8, 0, 0, 72, 0, 8, 0, 0, 0, -8, 0, 0, 0, 0, 0, 4, 0, 0, 52, 0, -40, 0, 0, -16, -28, 0, 0, 0, 0, 0, -52, 0, 0, -4, 0, 56, 0, 0, 92, 48, 0, 0, 0, 0, -24, 32, 0, 0, 60, 0, -50, 0, 0, 8, 36, 0, 0, 0, 0, -36, 0, 0, 0, 40, 0, -8, 0, 0, 72, -8, 0, 0, 0, 0, 36, 68, 0, 0, 32, 0, 8, 0, 0, 0, 44, 0, 0, 0, 0, 16, -60, 0, 0, -24, 0, 8, 0, 0, 32, -12, 0, 0, 0, 0, 16, -4, 0, 0, 4, 0, 24, 0, 0, 4, -88, 0, 0, 0, 0, 8, 48, 0, 0, -4, 0, 28, 0, 0, -80, 0, 0, 0, 0, 0, -16, 48, 0, 0, -20, 0, -24, 0, 0, 56, -48, 0, 0, 0, 0, 0, -84, 0, 0, 28, 0, 32, 0, 0, 24, 32, 0, 0, 0, 0, -88, -24, 0, 0, 8, 0, 2, 0, 0, -36, -8, 0, 0, 0, 0, -48, -116, 0, 0, -48, 0, 20, 0, 0, 48, -12, 0, 0, 0, 0, 20, -24, 0, 0, 0, 0, -96, 0, 0, 24, -16, 0, 0, 0, 0, 22, -32, 0, 0, -40, 0, 32, 0, 0, 44, 8, 0, 0, 0, 0, 8, 16, 0, 0, 0, 0, -52, 0, 0, -2, 0, 0, 0, 0, 0, 8, 92, 0, 0, 0, 0, -8, 0, 0, -112, 4, 0, 0, 0, 0, -64, 40, 0, 0, -92, 0, -8, 0, 0, -12, -16, 0, 0, 0, 0, -4, 0, 0, 0, 16, 0, 0, 0, 0, -12, 16, 0, 0, 0, 0, 32, -20, 0, 0, -48, 0, 0, 0, 0, 32, 4, 0, 0, 0, 0, -4, -88, 0, 0, -68, 0, 4, 0, 0, -32, -24, 0, 0, 0, 0, 48, 16, 0, 0, -60, 0, -32, 0, 0, 28, 8, 0, 0, 0, 0, 8, -112, 0, 0, 24, 0, 8, 0, 0, -92, -8, 0, 0, 0, 0, -24, 12, 0, 0, -24, 0, 56, 0, 0, -16, -56, 0, 0, 0, 0, 0, 60, 0, 0, 64, 0, 38, 0, 0, -80, 4, 0, 0, 0, 0, -20, 16, 0, 0, 48, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -56, -60, 0, 0, -4, 0, 76, 0, 0, 0, -24, 0, 0, 0, 0, 48, 0, 0, 0, 16, 0, -116, 0, 0, 16, 72, 0, 0, 0, 0, -10, -72, 0, 0, 28, 0, 8, 0, 0, 0, -40, 0, 0, 0, 0, 18, 44, 0, 0, 104, 0, 16, 0, 0, -36, -16, 0, 0, 0, 0, 2, -72, 0, 0, -20, 0, 24, 0, 0, 124, -48, 0, 0, 0, 0, 80, -16, 0, 0, 132, 0, 48, 0, 0, 8, 0, 0, 0, 0, 0, -32, 0, 0, 0, 12, 0, -16, 0, 0, 96, 4, 0, 0, 0, 0, -4, 8, 0, 0, -72, 0, 8, 0, 0, 56, 16, 0, 0, 0, 0, -16, 60, 0, 0, 28, 0, 36, 0, 0, 96, 12, 0, 0, 0, 0, 56, 0, 0, 0, -96, 0, -60, 0, 0, 0, 16, 0, 0, 0, 0, -32, -48, 0, 0, 0, 0, 24, 0, 0, -8, 4, 0, 0, 0, 0, 40, 28, 0, 0, -48, 0, 16, 0, 0, 12, -64, 0, 0, 0, 0, -12, -96, 0, 0, -8, 0, -24, 0, 0, 66, -8, 0, 0, 0, 0, 16, 8, 0, 0, -40, 0, -52, 0, 0, -36, -44, 0, 0, 0, 0, 8, -16, 0, 0, 0, 0, 44, 0, 0, 80, -12, 0, 0, 0, 0, -48, 16, 0, 0, 8, 0, 144, 0, 0, -16, 4, 0, 0, 0, 0, -24, 12, 0, 0, 12, 0, 0, 0, 0, 36, 32, 0, 0, 0, 0, 0, 36, 0, 0, -96, 0, -48, 0, 0, 6, -76, 0, 0, 0, 0, -16, -60, 0, 0, 4, 0, -8, 0, 0, -40, 12, 0, 0, 0, 0, 44, -88, 0, 0, 8, 0, -48, 0, 0, -16, 84, 0, 0, 0, 0, 8, -60, 0, 0, 8, 0, 40, 0, 0, 132, 8, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, -32, 0, 0, 0, -32, 0, 0, 0, 0, -24, 88, 0, 0, 76, 0, -40, 0, 0, 6, -16, 0, 0, 0, 0, 60, 8, 0, 0, -32, 0, -40, 0, 0, 56, 52, 0, 0, 0, 0, -16, 0, 0, 0, 8, 0, -12, 0, 0, -4, -8, 0, 0, 0, 0, 40, 28, 0, 0, -92, 0, -16, 0, 0, 0, -60, 0, 0, 0, 0, 32, 64, 0, 0, 64, 0, -20, 0, 0, 72, -16, 0, 0, 0, 0, -68, 40, 0, 0, 48, 0, 16, 0, 0, 4, 32, 0, 0, 0, 0, -6, -32, 0, 0, -28, 0, -48, 0, 0, 44, 0, 0, 0, 0, 0, 48, -8, 0, 0, 36, 0, 20, 0, 0, -8, 44, 0, 0, 0, 0, -56, 40, 0, 0, -32, 0, 76, 0, 0, -32, 0, 0, 0, 0, 0, 0, 32, 0, 0, -144, 0, 32, 0, 0, 56, 0, 0, 0, 0, 0, -24, 96, 0, 0, -4, 0, -36, 0, 0, -12, -48, 0, 0, 0, 0, -16, 12, 0, 0, 0, 0, -82, 0, 0, 28, 20, 0, 0, 0, 0, -18, -48, 0, 0, 20, 0, 4, 0, 0, 120, 48, 0, 0, 0, 0, 16, -24, 0, 0, 104, 0, 56, 0, 0, -20, 40, 0, 0, 0, 0, -16, 136, 0, 0, -20, 0, -56, 0, 0, 32, 72, 0, 0, 0, 0, -48, -4, 0, 0, 0, 0, 84, 0, 0, 4, -88, 0, 0, 0, 0, 8, 24, 0, 0, -24, 0, 64, 0, 0, 112, -8, 0, 0, 0, 0, -68, 16, 0, 0, 40, 0, 0, 0, 0, -16, 36, 0, 0, 0, 0, -24, 8, 0, 0, -8, 0, 0, 0, 0, -20, -8, 0, 0, 0, 0, -72, 60, 0, 0, 8, 0, -20, 0, 0, 0, -12, 0, 0, 0, 0, 44, 16, 0, 0, -44, 0, 24, 0, 0, 48, 16, 0, 0, 0, 0, -48, 96, 0, 0, 28, 0, -160, 0, 0, -24, 24, 0, 0, 0, 0, 0, -112, 0, 0, -36, 0, 24, 0, 0, 54, -12, 0, 0, 0, 0, -16, -4, 0, 0, 72, 0, -84, 0, 0, 20, -16, 0, 0, 0, 0, -96, 16, 0, 0, 24, 0, -8, 0, 0, -96, 0, 0, 0, 0, 0, 8, 0, 0, 0, -132, 0, 20, 0, 0, 56, 80, 0, 0, 0, 0, 24, 96, 0, 0, 24, 0, 4, 0, 0, 0, 44, 0, 0, 0, 0, 48, -84, 0, 0, 32, 0, -24, 0, 0, -8, 64, 0, 0, 0, 0, -16, 108, 0, 0, -104, 0, 10, 0, 0, 88, 24, 0, 0, 0, 0, -56, -16, 0, 0, -12, 0, -56, 0, 0, 76, 0, 0, 0, 0, 0, 6, 8, 0, 0, -48, 0, -8, 0, 0, 32, 40, 0, 0, 0, 0, 24, 16, 0, 0, -96, 0, -8, 0, 0, -2, 72, 0, 0, 0, 0, 8, -176, 0, 0, -48, 0, 24, 0, 0, -160, 4], '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, -0.7071067811865476], [0.0, 0.0], [-0.5, 0.0], [0.8944271909999159, -0.4472135954999579], [0.0, 0.0], [0.0, 0.7559289460184545], [0.0, 0.3535533905932738], [0.0, 0.0], [-0.31622776601683794, -0.6324555320336759], [1.2060453783110545, 0.0], [0.0, 0.0], [0.0, 0.5547001962252291], [0.5345224838248488, 0.0], [0.0, 0.0], [0.25, 0.0], [0.0, -1.4552137502179978], [0.0, 0.0], [-0.9176629354822471, 0.0], [-0.4472135954999579, 0.22360679774997896], [0.0, 0.0], [0.0, -0.8528028654224418], [0.0, 0.0], [0.0, 0.0], [0.6, -0.8], [0.3922322702763681, 0.0], [0.0, 0.0], [0.0, -0.37796447300922725], [0.3713906763541037, 0.0], [0.0, 0.0], [0.1796053020267749, 0.0], [0.0, -0.1767766952966369], [0.0, 0.0], [-1.028991510855053, 0.0], [0.3380617018914066, 0.6761234037828132], [0.0, 0.0], [0.0, -0.3287979746107146], [0.0, 0.6488856845230502], [0.0, 0.0], [0.15811388300841897, 0.31622776601683794], [0.0, 0.0], [0.0, 0.0], [0.0, 0.6099942813304187], [-0.6030226891555273, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.42857142857142855, 0.0], [-0.565685424949238, -0.4242640687119285], [0.0, 0.0], [0.0, -0.2773500981126146], [0.0, 0.27472112789737807], [0.0, 0.0], [1.0787197799411874, -0.5393598899705937], [-0.2672612419124244, 0.0], [0.0, 0.0], [0.0, -0.2626128657194451], [1.8226447537315342, 0.0], [0.0, 0.0], [1.2803687993289596, 0.0], [0.0, -0.1270001270001905], [0.0, 0.0], [-0.125, 0.0], [0.2480694691784169, 0.4961389383568338], [0.0, 0.0], [0.0, -0.24433888871261045], [0.0, 0.7276068751089989], [0.0, 0.0], [0.47809144373375745, -0.23904572186687872], [0.712068994916312, 0.0], [0.0, 0.0], [0.0, -0.7022468831767834], [-0.23249527748763857, 0.0], [0.0, 0.0], [0.45883146774112354, 0.0], [0.0, 0.9116846116771036], [0.0, 0.0], [0.4500351603704096, 0.0], [0.22360679774997896, -0.11180339887498948], [0.0, 0.0], [0.0, 0.0], [0.0, 1.317171119876284], [0.0, 0.0], [-0.6507913734559685, -1.301582746911937], [0.43133109281375365, 0.0], [0.0, 0.0], [0.0, 0.4264014327112209], [0.635998728003816, 0.0], [0.0, 0.0], [-0.4193139346887673, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8207826816681233, 0.41039134083406165], [0.0, 0.0], [0.0, -1.218415398160343], [0.0, -0.30304576336566325], [0.0, 0.0], [-0.3, 0.4]], 'angles': [None, None, None, 0.061687928607212464, -0.1469814168498227, 0.04472809375551671, -0.3703162684952307, -0.3258659164556367, 0.0, -0.2202731255008241, None, -0.4737157716443733, -0.25, 0.04932775522852062, 0.0, 0.02193095029179386, -0.06753128152458954, -0.13942896918815223, -0.48050743342333524, -0.19206427871893264, -0.4428998743900459, -0.21387802238104772, 0.11442246823452998, -0.19849450565556323, -0.395743787574741, -0.2818858964416066, 0.015707489436289246, 0.030967204107095008, -0.23473231515373721, -0.4850057913155361, -0.44225020350001343, -0.29220936457191626, -0.48638587898776947, -0.277129888445529, -0.27619506982779357, -0.16881350308530776, 0.05171292321642755, -0.4076409660411811, -0.4231540650132851, 0.11993674514573828, -0.22611888968768726, -0.40235446048651635, -0.3965093901375388, -0.47700766076062295, 0.057969913883866304, -0.2726406742097889, -0.27198319018085865, 0.021379850282151995, -0.43481160332125174, -0.326536846763679, -0.4468866716764547, -0.18656442120159403, -0.1515768736864534, -0.14128250415046184, -0.49006573784722957, 0.16579593810013185, -0.2006959348307442, -0.3307659488970918, -0.3850818641648447, -0.30825867787608285, 0.009466359950997285, 0.11107771670728826, 0.1330492287346175, -0.20424822092018682, -0.3389483283817131, -0.2980264716521812, -0.25, 0.04390329715806084, -0.38859652031327363, -0.3502029677248659, -0.32000312123743074, -0.32877630374113903, 0.05070008271013459, -0.46679674924017933, -0.16414362057362836, 0.10505324340465759, -0.30774494211758346, 0.17946626920099867, -0.19316497760417464, -0.44435001798688323, -0.273410005758187, -0.3054097499301102, -0.21128829670842547, 0.15217335286613135, -0.38829445555594033, 0.015146211069946245, -0.3751772328225702, -0.4925523279474752, -0.18116024960593305, 0.09415558105261666, 0.11216430665139275, -0.045442388374984544, -0.4084978338017868, -0.15891838505254885, -0.2932799738897881, 0.058049485582393534, -0.3858208314828487, -0.25, 0.07202719972530204, -0.31323401269457335], 'char_orbit_index': 4, 'conrey_index': 559, 'dual_conrey_index': 559, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 8, 'hecke_orbit_code': 31525403583580902, 'label': '2790.2.d.h.559.1', 'level': 2790, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 11160, 'analytic_conductor': 22.278262163937228, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [2790, 2, [2171, 1117, 1801], [2, 1, 2]], 'conrey_index': 559, 'cusp_dim': 560, 'dim': 76, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 206191987430, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 6, 6, 8, 8, 12, 16], 'label': '2790.2.d', 'level': 2790, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 31], 'level_radical': 930, 'mf_dim': 592, 'mf_new_dim': 76, 'num_forms': 15, 'prim_orbit_index': 2, 'relative_dim': 76, 'sturm_bound': 1152, 'trace_bound': 11, 'trace_display': [0, 0, -4, 0], 'traces': [76, 0, 0, -76, -4, 0, 0, 0, 0, 0, 12, 0, 0, 8, 0, 76, 0, 0, 16, 4, 0, 0, 0, 0, -12, -12, 0, 0, -4, 0, 0, 0, 0, 8, -8, 0, 0, 0, 0, 0, -16, 0, 0, -12, 0, -16, 0, 0, -92, 16, 0, 0, 0, 0, 36, -8, 0, 0, -32, 0, -36, 0, 0, -76, 28, 0, 0, 0, 0, 0, -32, 0, 0, 4, 0, -16, 0, 0, 24, -4, 0, 0, 0, 0, -12, 20, 0, 0, 72, 0, -64, 0, 0, 32, 24, 0, 0, 0, 0, 12, -24, 0, 0, 12, 0, 4, 0, 0, 56, 56, 0, 0, 0, 0, -28, 4, 0, 0, 16, 0, 84, 0, 0, 0, 44, 0, 0, 0, 0, -32, -104, 0, 0, -32, 0, -8, 0, 0, -76, 8, 0, 0, 0, 0, -20, 16, 0, 0, 24, 0, 56, 0, 0, 56, 0, 0, 0, 0, 0, 0, -80, 0, 0, 16, 0, -28, 0, 0, 4, -20, 0, 0, 0, 0, -16, 12, 0, 0, -12, 0, 52, 0, 0, 16, 36, 0, 0, 0, 0, -40, -64, 0, 0, -24, 0, 92, 0, 0, 32, -16, 0, 0, 0, 0, 16, -24, 0, 0, -48, 0, -24, 0, 0, 8, 92, 0, 0, 0, 0, -36, -40, 0, 0, 8, 0, 48, 0, 0, 4, -28, 0, 0, 0, 0, 24, 32, 0, 0, -40, 0, -64, 0, 0, 36, 28, 0, 0, 0, 0, -24, -84, 0, 0, 40, 0, 76, 0, 0, 88, -28, 0, 0, 0, 0, -20, -128, 0, 0, 36, 0, 24, 0, 0, 88, 60, 0, 0, 0, 0, 0, -40, 0, 0, 32, 0, -48, 0, 0, -196, 32, 0, 0, 0, 0, -168, -4, 0, 0, 224, 0, 160, 0, 0, 16, 4, 0, 0, 0, 0, 0, 112, 0, 0, 56, 0, -24, 0, 0, -96, 4, 0, 0, 0, 0, -40, -72, 0, 0, -80, 0, 52, 0, 0, -32, 104, 0, 0, 0, 0, 12, -28, 0, 0, -20, 0, 56, 0, 0, 32, 16, 0, 0, 0, 0, -16, -72, 0, 0, 64, 0, 204, 0, 0, 64, -68, 0, 0, 0, 0, -8, 32, 0, 0, 56, 0, -32, 0, 0, -72, -24, 0, 0, 0, 0, -184, 112, 0, 0, -156, 0, 32, 0, 0, -124, -48, 0, 0, 0, 0, -12, 224, 0, 0, 24, 0, -96, 0, 0, 64, -80, 0, 0, 0, 0, 20, -12, 0, 0, 144, 0, -64, 0, 0, -4, 88, 0, 0, 0, 0, 8, 80, 0, 0, 24, 0, -56, 0, 0, -80, -56, 0, 0, 0, 0, 80, 0, 0, 0, -96, 0, 120, 0, 0, 40, -96, 0, 0, 0, 0, 28, -188, 0, 0, -4, 0, -96, 0, 0, -48, 96, 0, 0, 0, 0, -40, -16, 0, 0, -272, 0, -24, 0, 0, -84, -112, 0, 0, 0, 0, -40, -28, 0, 0, -168, 0, 0, 0, 0, 180, -44, 0, 0, 0, 0, 168, -128, 0, 0, -196, 0, -192, 0, 0, -24, -80, 0, 0, 0, 0, 32, -24, 0, 0, 104, 0, -16, 0, 0, -44, 144, 0, 0, 0, 0, -24, 32, 0, 0, 396, 0, -104, 0, 0, 8, 24, 0, 0, 0, 0, 136, 112, 0, 0, -44, 0, 76, 0, 0, 208, -8, 0, 0, 0, 0, 40, -8, 0, 0, -80, 0, -276, 0, 0, 128, 72, 0, 0, 0, 0, 20, 216, 0, 0, -16, 0, 88, 0, 0, 8, 8, 0, 0, 0, 0, -64, -24, 0, 0, 48, 0, 56, 0, 0, -56, 100, 0, 0, 0, 0, 8, -240, 0, 0, -120, 0, -56, 0, 0, 132, 0, 0, 0, 0, 0, -44, 96, 0, 0, 312, 0, -56, 0, 0, 176, -196, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, -56, 0, 0, 112, 28, 0, 0, 0, 0, 32, -16, 0, 0, 24, 0, 40, 0, 0, 28, -136, 0, 0, 0, 0, -8, -96, 0, 0, -112, 0, -4, 0, 0, -176, 20, 0, 0, 0, 0, -92, 128, 0, 0, 216, 0, 176, 0, 0, -84, 60, 0, 0, 0, 0, 16, 160, 0, 0, -12, 0, 24, 0, 0, 68, 80, 0, 0, 0, 0, 192, 12, 0, 0, 176, 0, -304, 0, 0, -52, -268, 0, 0, 0, 0, -124, -56, 0, 0, -48, 0, -16, 0, 0, 12, -36, 0, 0, 0, 0, 248, -56, 0, 0, 0, 0, 224, 0, 0, -136, -104, 0, 0, 0, 0, 40, 48, 0, 0, 64, 0, -88, 0, 0, 112, -80, 0, 0, 0, 0, 16, 24, 0, 0, -64, 0, -120, 0, 0, -92, -24, 0, 0, 0, 0, 16, -144, 0, 0, 16, 0, -32, 0, 0, 192, 16, 0, 0, 0, 0, -208, -28, 0, 0, -64, 0, -168, 0, 0, 224, -224, 0, 0, 0, 0, -16, 172, 0, 0, 24, 0, 0, 0, 0, -276, 16, 0, 0, 0, 0, 76, 48, 0, 0, -64, 0, 76, 0, 0, 24, -44, 0, 0, 0, 0, 72, 448, 0, 0, -128, 0, -8, 0, 0, 12, -92, 0, 0, 0, 0, -8, 0, 0, 0, -352, 0, 192, 0, 0, 40, 32, 0, 0, 0, 0, 36, 72, 0, 0, 40, 0, 144, 0, 0, 48, 32, 0, 0, 0, 0, -252, -8, 0, 0, 52, 0, -136, 0, 0, -48, -220, 0, 0, 0, 0, -24, -80, 0, 0, 104, 0, -4, 0, 0, -176, 28, 0, 0, 0, 0, 208, 96, 0, 0, -336, 0, -32, 0, 0, -40, 128, 0, 0, 0, 0, -24, 372, 0, 0, -32, 0, 136, 0, 0, -168, -104, 0, 0, 0, 0, -112, 40, 0, 0, -432, 0, 76, 0, 0, 64, 176, 0, 0, 0, 0, 8, -280, 0, 0, -96, 0, -36, 0, 0, -104, -28, 0, 0, 0, 0, 100, 216, 0, 0, -80, 0, -288, 0, 0, -352, 272, 0, 0, 0, 0, 24], '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: 46255065
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 559, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525403583580902, 'source_is_minimal': True, 'source_label': '2790.2.d.h.559.1', 'source_level': 2790, 'target_conrey_index': 559, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525403583580902, 'target_is_minimal': True, 'target_label': '2790.2.d.h.559.1', 'target_level': 2790, 'twist_class_label': '2790.2.d.a.559.1', 'twist_class_level': 2790, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46255066
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 559, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525403583580902, 'source_is_minimal': True, 'source_label': '2790.2.d.h.559.1', 'source_level': 2790, 'target_conrey_index': 559, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 206191987430, 'target_is_minimal': True, 'target_label': '2790.2.d.a.559.2', 'target_level': 2790, 'twist_class_label': '2790.2.d.a.559.1', 'twist_class_level': 2790, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46255067
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 559, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525403583580902, 'source_is_minimal': True, 'source_label': '2790.2.d.h.559.1', 'source_level': 2790, 'target_conrey_index': 559, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525403583580902, 'target_is_minimal': True, 'target_label': '2790.2.d.h.559.2', 'target_level': 2790, 'twist_class_label': '2790.2.d.a.559.1', 'twist_class_level': 2790, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46255068
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 559, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525403583580902, 'source_is_minimal': True, 'source_label': '2790.2.d.h.559.1', 'source_level': 2790, 'target_conrey_index': 559, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 206191987430, 'target_is_minimal': True, 'target_label': '2790.2.d.a.559.1', 'target_level': 2790, 'twist_class_label': '2790.2.d.a.559.1', 'twist_class_level': 2790, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2852075
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 31525403583580902, 'p': 2}
  • id: 2852076
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525403583580902, 'p': 3}
  • id: 2852077
    {'charpoly_factorization': [[[5, -4, 1], 1]], 'hecke_orbit_code': 31525403583580902, 'p': 5}
  • id: 2852078
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 31525403583580902, 'p': 7}
  • id: 2852079
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 31525403583580902, 'p': 11}
  • id: 2852080
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 31525403583580902, 'p': 13}
  • id: 2852081
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 31525403583580902, 'p': 17}
  • id: 2852082
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 31525403583580902, 'p': 19}
  • id: 2852083
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525403583580902, 'p': 23}
  • id: 2852084
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 31525403583580902, 'p': 29}
  • id: 2852085
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 31525403583580902, 'p': 31}
  • id: 2852086
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 31525403583580902, 'p': 37}
  • id: 2852087
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525403583580902, 'p': 41}
  • id: 2852088
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 31525403583580902, 'p': 43}
  • id: 2852089
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525403583580902, 'p': 47}
  • id: 2852090
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 31525403583580902, 'p': 53}
  • id: 2852091
    {'charpoly_factorization': [[[-14, 1], 2]], 'hecke_orbit_code': 31525403583580902, 'p': 59}
  • id: 2852092
    {'charpoly_factorization': [[[-10, 1], 2]], 'hecke_orbit_code': 31525403583580902, 'p': 61}
  • id: 2852093
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 31525403583580902, 'p': 67}
  • id: 2852094
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 31525403583580902, 'p': 71}
  • id: 2852095
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 31525403583580902, 'p': 73}
  • id: 2852096
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 31525403583580902, 'p': 79}
  • id: 2852097
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 31525403583580902, 'p': 83}
  • id: 2852098
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 31525403583580902, 'p': 89}
  • id: 2852099
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 31525403583580902, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
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ljpCTZNGJZahlMXFBXPZ9M0bJsL2TgzYMPMkE0zQ7ZttOzYpLhiu0dV1Tl+qslDz/k8cSjmmZMRierw9a9q8Y5XWKpqhkMnJzl+TnP2YsJ8Cu4ji5Ybr1rgp969wvbZCc5dnOTiSoWllsdyS7LaSWh3EzoDOHh8kSOnW1c8d2Lx1YdOL+06fHbps7e84V3hfZ/9k682JL6i299pBl9abrPU61P19M89+czxV/zMb/ylfOMNR1/xr//Rab3SnmG53WRptcZSy2eppVlqwXIrYbkVsbSaML8KR5cEc7Or/OfvXOKmvTVOX5jm3MU65xY1F5Ys84sxZxYSLnZiJqcHvPKaLi+7HHxZJVABF5YrnF/UzC8LekOIY0PFN9QrCVMTMQY4OR/T7sLOjR716hBrBQifbt+wY9OQpVUN1kmR1S4MY7BYllshWzd4dPoKoSzCDGlWPHZsHrDaE5w8p0mMZqYpaVQEgQdxLOgNJfPLkvNLlgsrMUEwAC/m5Vd2ecVVgrlmlaWVJqcvBJxbhAuLMReWY84uw9Ely0uvXORnvnOFTZNNTs1PM79UZWHFZ7ElWV5NWGlHrLQTljuGhY7kXEewvNrlv/+rMH77q6YemNr2btOYuvQB5PDHo3ASP2h+taHyore/s0Hmh//oz5mZbnJ+fvE97/ujL/zIX975RHDoXIeLyzFvusHwkkvaGKtJEkViBIkBYzTWKpyxAkIkCGE5tjTFf/4DwXu+5wLX7w5pVKepVxs0awGNmsdkU3FhSTG/ovn8gxU+dX/MZdt7XH5JzPJKnyu2D/nWNxmiWCGw/OVDFS62KlSTISfOK7rdBtdemnCxHbP/oMfe7ZLD5+Dl+6DVgdBoAh0yW4dDZ6vUqhGBiploCFY7cPMVHY6eCdi703D83JDnj7p/z9s+4OgFy0RjyHI75JOfr2GFIkkSbr2uxy3XW+ZXPa7fM2DPFo84atLrV9l/rML8omBhJeHiSsyFZcOpZcGFbsh1e5f4j9/eZa45xcnzk1xYqrKw6rHUkqy0ElqdiFY3YbVnWekJFvqS1U7ETVcs86orVrWNhq9ZOPb7DDfcckt19q2m3mj+xIP3foJbXv22rzZk1r39nWTwP/3Ix7jskq3qyWeP/MfDx87/xP2Pn1AXVkLakeZc33D1jgv80g9e5Lo9dS4sTbHUqrHcqrDc8lhua1Y6sNJKWGnHLHdiFltwekWgqwNuuWqZb35NyO4NdVa7TS4uV1lY9llsCZZbTiKsdAztvqE9tPQGMTPNiB0bDSAIPMuZix5CBuzcoNi9xbJlQ48LK0OePtzghsssteoKzx2ZplEPCUOPmSlDfwBX7Bjw4S9Osm97zHBomZ2QREmfRiXg+RMDql6d6/bGPHMs5MKSz9aZgN2bYcemEKUiziyC71mEsOzcGDPVkHT6Ad2eR7vnsdxWLK/CUsuw3EpYbCXMt2BpkLBja5dvvnWRWy7XVLwm5xebLK5UWFzVLLcFKy3DaidipZOw2rUsdWG+o7iwGnPTvnne+4NLXLq1zlKrSbfn0xs2ieS+RPqb3xPUL/mZaHAuufW2v3sg/zsF8EMHD1KpVqpnzpzZ8fQzL7zr1OlzP3vg8Bk6A0G7L2gNYKGnONeJueGSeX7xB5e59pIqF1emWFqtsdKusNz2WGlrVtrQ6hhWOzErnZjltuVCS3Cua0F0ecerWrzlJsMlmyuEYY2VVoXVrk+ro1jpCjo9wWBoCWNLkoCSlsCDamCZbFo2TEdob8DR8yHPHgkwcZ033RyivVUe3z/Brs3w6UdiXnV1wMVWn4pWxEnE9BTEkYf2YpaWarzy+jaffrDB7s3w2OEhHjXeeJMhFn2ePZpw/EwFLX02Tmmm6oJqIPB9gRIQGwgjyyCETs+y2jV0eobVnmGpa+knCTu39XjLy1q84xUhmAZLqxNcXK46vd3WrLRgtZPQ6saspuBe7sH5tmKhnfDSvRd47w9e5MqdVRZWJml1arR7Pqsdn6UVgVfbTmNi409u277vT7ds3XpqOBj0L92776sNpfz2dwbgp04cZm7DnH/k8JHvPnjo8K8/8ujTYqXVlf2hpTswdPqGTl+w2hdc7EvOdyJuuvQiv/B9S1x/aYXF1UmWVuustANWOz4rHc1qR9DqWLfkdmJaXcNK13KxIzjfMkxN9vi6l3Z4+eUxOzcqmlWPdqdC4ElAEcYSYwTGQm8ACMNUY8DhsxZjQ+54rM6wV+XSrT63XNMjMqvc88Qk113mcXi+S2ulycuu6fH5xwM2Tlv2n7T887e32X8iYOO05M4nFLdcoVjutTl2eprr9obc82yfeFjj5Vf67Nk+oB93+dzjChLB0TOaZk2jBfT6EmMFibFEMSAN2je0upZ6I2L75iGvuKLH190QM1OvcGF5gqXVKittd2xW2oJWF1qdmFY3ptVNaPUsyz3JfEew2Im5ed8C7/m+Ba7dXWFhdYLVTo12N6DT82n3nGvU6YOhYnbvudru3LXnh/bsufR3FxcXwssv/7sB8r8TAB+GsRwO+m994N7PXGqS6L2PP/641x3AMITeIKY3SOgODN2BpdMXtFKQn2vFvPyKi/zc9y1wwx6f1fYECysNWt0Kqx2f1a6m1VG0etDpWtq9mHY3ods3tHqWha5goQtRMuTay/psmk7o9ixvftmQXZsMcSLR0hJGcPfTFU5drLB5Kua5oxUwNS7fprh+nyGo9Hj8cI+FxTpX7arTnFzhwWc8bryswlJvlZWVJps2WR7Zr/j213V5dL9m2waPxW6LleVprr+ix4PPJUxXJ7nq0i4XWy0eeWGSqq7z0n2WvTsGILs8fVywYTriwkLEPU97DCKFlJAYy67NIV/3spBOV7FlynD9ZRCGNZZbNZZbAatdj3ZP0epK2l1o91KnpJfQ7hlWe5blvuRsW9DqD7ll7wI/870rvPQyd3G0OlXavYBOz6PT07T7im5f0hsIOr2ETjfihhtujPzA//dvf9s/OFKtVT+plGe+2tj6qgeZYdglSXrfefr447908fzh6dXVZSoViRUCISx2xMl0FqAQFiktUmoePbSRH3+/5u23LPMtr1tm99aQ+aUmgV+lGvjUAo96VdOpShp9j4m6dhdMP2Hj0NAfWjqDgOWFCmdOW8LYcHY+JggsIPCVRUtBr68QeMQ9zUt2CfZssezY2mOYdPjMo4oDR6Z4ww0B11+xwgc/Y/FFjV1bezzzoGLrpGK22aOiqoSRx8UO1CuabRsFTx0IuX5vlddct8jv3d7H9xq8/maLF/T4wiMhn364zgvHq1yypcauzQlzUyG7ZyOu3pWglEErC1hqQcDcZEAYeXR6Ps8d9ugONL2+ojuQdPvQHVi6PffdO/2Ebt/S7ltW+076XVix1CZa/PCbFvhHtwy59pI65xebtLoVOhm4+4puX9EbSHpDQW/oCCAxgvsfesybnZ35panpDcuvfMVNP9Lu9H6v2ah9VfH1VQW4SdqA/d6F0/f+3Jkjd08T96kGHlJIBAK3wBQAFwKkcJ00SlqUTPCl5JnDczx5qM7hcxd5+yu6vOLKAZONJsutGvV2hWbfp9vT7uQMJP2BpjfUDIaWQWgII0sUWeLE3cPYxxqQSuBpQcUXTDYEUw3YNGvYtrHH7FSLzz4O9z7pIc0Eb7jB4yWXd7j/hYhw0OSWlwha/T4Xl+q8fK9hdrJHVQcMYsVCO0IZwUv2amqNIU8crPDq6yd42bUdnjiowE5ww5U+3/P1y3z+qZA7H62z/1SFHXOKTdNVpho1JhpQDcDTFiXBWNh/XJAkgigWhDEMI9x3HCb0h4bB0NAbGHpDQ7cP7SEsdCUXOzA0A267bpm3vqLFt73eEMdN5hfrtLsVOn2fbt+j21d0+oreQNAbCPpDy2Bg6A8TBpH79xcOn+PI6c9MX1yN/+s3vvXVerXVff/kRP3/PoCHg2XiWHxPuPKpn2vPf35DoGKmJqr0+gYlHZhJgS6EQgiBlKTgBqUsWlk8Zah6gsVelT/+4ja+8GSbV129yrtvW+Xq3V1mJmssrdbo9AN6fS8FtnL3UDCMJFEsiGO31GcWo5IWraHiQ61qmG5EbN3QI6bL4bMRf3JPhWOn60wGVW68UvPya9o8cqjFHQ81ufmyCjs29/jwFwVKBDQbEavdIcaCEjDX7NHu+Ji4yltfdZE//nSNPRcqvOXmHmG0xD3PzhAlFW66cgNvubHNZdtbfOGJHs+crvH0cZ9t05LppqAWCHzPXYRSgBAWY8EYSxSnF2tkGUbuQh6E0A+hMxCsDAXLHRB6wHX7Vnn3163yqisTZppVVto1Wp0qnV5Ad+DR7RcrQW8o6Q+gl144g4GhHyYMQusupkiyuNTi1z70+Q0Xe+bnvv+dr7bzF1d+Z9OGqf87AL587Ne40N7J2WN3fFcSdd5rBw/PmmiZStAgTmIAhNApwEEIiRACISRKaqRMUEqky7PBU5ZAW6pasDJQLLWm+MjddR5+rsst167y7tevct2eFjNJlTgO6A0qdPse/aEmjBRRLIkTSWIExgqXBRWWwDfUKjGBH+J7Q84uDbn9McmRMz7Hz0yhTMCezT5X7FbccHkbFSzw7NEGWydrXHUJbJpbYbnd5OqtkthYPvtowLAnmazHvPGmAZ+8J+LUfIN9l3qcXx3w/DGP7RunuHb3Avc/0+HB5wXD0Ofy3dNcvj3g8m0djp5f5shZePRAjcPH6tS0INCSemCpeCClW/OsdRdrnEAYQ5gIukNBeyBoRxCaGGMHvPSyNu/+ujavujph83TAYDDBUqtCpxvQHfj0+pruQNEbKPpDQX8g6Q9d3+hgmDAIEwZDw2Bo6YeGQWhdMswoLlxs80d/fs+G3uLF905O1uPf+4OPf/C+F9r81s9+x99fgP+bX/hdpnbfwcrz9tsYnP6VfuvMpJIJQmoCLyapuJhXAFIohMCxtRQoJdBKpY8GrRI8LfC1wfcsgWep+QmTFUFn6LHSnuKj9zb54tMDNk71eNetLS7fPmDQ73LVbsv2TYph5KWJIpfmF1ikNHg64eQFy/F5wWrf8In7a5xdnMKGHlMVxZYZzc5Nmku2wlV72hi5yPs+WWd5eYKbL9dctafFF54WiNhjw5SkXovpRT7SSrASpX1aA8GFZcGVtsatN3R44IkqW2Z9br5qmn/y9Yv87qc7PHqwTnfgsbTaYPeWKvs297hpb4dveHWHc8vLfOL+gKVewMnzHmfP+nhKIKVb9Yy1JAYiY0liw9RMxDVX9hgOIy7fPuSdtw7ZMKGYbgREUYXzCxV6fZ/e0K1y/RzY0oF7KBgMcSvBMGEQGoZhkrK2TUEOvUgwjAWeliwstvjQXzw8e8nurb9y/TVbot/62Uv+cP7YL7Ppkn/19w/g/+V//BE//o2vFd/7k3zTVPDCb3/DTU/UrtoV0B96RLFOA8pUeUuntYW0KKmQUqKkRCuBVumjFng6wdcC3zNUPEs1stRCy0QlYaoq6IWSTljn+Jk6v/CH02BiRBxzwzU9dm8KiWMw1mCtS+JIIZBKoD2fg6d89h+pUK9oGr5ktiaYm5FsmNZsmVPs3Jywb+cqiVjiVz/W5OSpSW7e63H5roR+3OGhZwMmqx4zE5bJRkit6qSQMZLWQLHctSy1ElrdKq+8apXH9vc4cEox2axw05WTfN9bl/i1j8MTR+p0+5bVjubCcpNNszU2TA3YOTPg335Tj2atxTPH4eBpiedZlLIIYQDr/rMQx7BrU8ItV8ckkUcUB1hbYxB6zC/69IduRRuEKpdv/VAwGAoGoWPtYWgZhAnDoWEYGgaRSd/L7tCPBP1I0I0FnUgwSATDYUKt+dzkrVfN//ZPnl6OHz/6rz9y7PlZe8lV/2eY/P8IwH/tt/6IS3dMqff8yWffsXj+wgc/cP9i5dn9VX7hB1bYt8Oj26+gBhWEMEjhI6VFSY1S1gWTSqV6W+Jppzl9TzH0JMPQEIQJw8hSjQzDyBCGlmYMw8gwjCGMBYNIMkwCoqTCgSN1nj4AibU4aDtt7Enwlav5aARw1WZoVmGiLplqKGYmNRumYcemIZvnVonsMr/6sQmOHpvg+ksUl2yT7Nm2wl3Px1xYmuCG3ZKppqHi9wlkgFWCOJEIa4mTkJVuhQtLHtdfXuUlezvc/0SFjVOCWqXB9XsNP/yOJX7l44bnzzZY7RpWO4qFFc3sZJ2pZpWp5gTNWsRcPWLn9SGBF+PpGKUSpHDBhMVdVFGkuLigiWJFFCvCSDGM0sdQMowkw1AyCCXDULgANRQMQ8swdMd1GCaEYarpI/f+IIRBJBhEjr07oWA1knQjQzIc8pKdy/zs9y5yy56Ltfn5iQ9uqP2eudja87GnHv7T5LqXvetrH+CrJz/AxI5IPXbvqXeeP7/0e8/vP1Fp1mp89rEN+L+T8DPfv8oVW2M8mSBlxYFbGXeXDuCesnha4WmLF0p8T7iT4AmGviKMHNCjyBLGiXNF4tI9gTixJIkhMc7SMoYc3JkU0hI8DwItqASCWiCp1xQTNcnUhGDDdMzOTT0a9VU+9kDIPc9Os7rY5Jodip2bPS7bPiARq3z20Rp1TzM3pWjUBjx7FF44prl6u6U3VFx7WcQ1eyzz5xMWVnz6gxpvurHDfc/0OXxWUa9KAr/J1ZcYfua7lrj7+T6fvHuWpbZl54aElZZmsqmYqHs0ah71qqUSGALfEOgErZzUktKdA2txCSsjiI0kTgRxLIhiSRgLokgyjJzzEkaCMLKEIQyjhDAyhCXiGEbluwN3PwV3O5K0IugPI0Tc5/ody/z09y7xhusVi6t1OsvHKu249qHnzla//1u/5RuPDRJ7f0WlV+LXKsA/fJeVVa/7LU3vxG88/PxKxQoPTwlUpcpfPriRMJS889Y23/S6DlPNmE4vQcsg1dlOD3ta40WaQCsGnmOaoScJfUEYCXdyIkUUQxhJ5yDEhe0XJ4Ykce5CYlOnJC/Icu6Mkk72+FoQ+JJKIKlXBc2aZbJh2Dg9ZG6qQ2xX+ch9kt/99AwbKhWu2SHYsdlj1xbDzs0rfOwhy/Jyhcs3Kaaa0KhFXDghubgS4O+GYSSYm5BMTsLh45aVtmF+scJluyq87oYOt99bYaYBge+j5CRX7xF8/1su4smL/OX9U7xwtsLGdsSGyZiJuqJRVdSqkmqgCXwIPNDaOUxSgBQlkOMu7MRAkgjihBToECWWMIYoShwpRIYwe4xMajtmrkxqQcapJIkE7VjSiQzhIGQiaPPNb1rim27tctt1klanRhRrfB+Gq89XLixEv3/x/P4D1UpwLRB9zQL8l9/3cfo98113P/3ML566cL55brWBBgIJVU/Ro85nH5U89FyF8ytL/PN39JhqxgyDiHavgtY+nvbwtIcfJoSexg+dNAkjl0p3jCMcE6WsFMcQJZAkzkkwxqbVhjbr4UzB7QDuAleBpx1AKgHUKoZGNWayETM32Wd2apUHDoR86I4qB49PsmvCY88m2LbJZ9tG2LejTS9u88j+JlXlMTelmGzAZGPI1ESM76dxhoX+0Ge5HbHas7S6MRdXfHZsavCyyy9yx6M9Dp5tUgsiPOUjxAR7tiq+4/WLvHTfRT50R4NHnptkqavZ0IyZrMXUKpJqRRF4gsCTeJ6LVZQitQ8dyi2uh9UYcqDHiUlXt9RajA1x4sAdRxDGtrhHzpUZxI5UepGgHQs6MQwGMSbuM1Pt8EPfuMi/+dYetSCg1a4xCH2SRKKkZcemkOvjx2mdam2obb3p3WcOfeR3t+39pq89gC+vtFBSfu+v/Paf/9zzz1+YaQ2a1D1HnUqk0gBFr1ljdaD4xT/12H90hbe+uset13XZOBvSaVfpax/f8wl8j2GoCXxn72UAjyJJGLtlN4pTTzshtf5ImVtiLAW4XZIyZW7QyiVMfM9S8Q3VSkyjEjPVHLJ5ts2FVo9f/4THZx+bZnmlzqVzgh0bBFs3+GzbINi9ZYD2V/njezTHTtfZu1Ey1ZBM1BOkHHJ2wRJoiRRgrSCMNDs3tHmUhHZPsdK2XFiusndbhW+4tcWffcHnxIUAT0cI4WFsnSiW3LB7hZ3f2uazT/T48GenefxEna1Tgtl6Qr2SUPEFgSfwPReraIULnKXIazIs7iIzFue0JA7wGcjjxEk6B3YIE1frEmbJo1jQj6ETSzox9END0huybbbDa65f4W2v7vHmGw1a1FlerRBGPsPQJ4q0c6tQXL6tQqe/PNPtDt57yVXvVMNB6/1B5W9n4tbfCsBbrRa+5/2Tz955788deOGFDTN1Q7NiCdNlMTKghEuB+7GgIyq0Qs0f31Xh7mc6XH95m299fY+33NxiZjKgPwjoD30CzyOMPcJI54FSHCuiRBLHkigRxLEkSURaI55qbSPIVYnNMqIuWaTSZJHvGQI/oRrENKpDZie79KM+X3jW8id3TfDIc5NM+R5Xb7VsnpZsnPHZMifZtjHkkq0rPHOizyfum2NCaeYmBM26oFmLaPUSPv1QhYZvEcIBqz/UvPWWIZ962NXEtLqGiyuabRsavP0VXR450GH/YZ96EKOkcCA3NQah0/rf8boWezdf5I/vbvPgC5OcWqmyqSmYqFhqvqGiDb4HWgmUJE2QpcmzFOomlWrGFCtcnALdEQREiSBKUmAngkEs6MWCboKLecKQerXH29+wzLe8vs0NexM2Tnn0B3XaXZ8wChiGHmGsiGJNnOYcotgFthdXD28Y2od/bu+VrzCdTvsDjcbffOPE3yjAF5dWMXEPIfjOBx588L/dddddM/3uCs2qZBhbvNimes8FdDp2j4GEjvToeYoz7YBzD9d4+Nkuf3ZNh3e+rs8bbxkwPekTDgOGsUcYOWsxSoEeJ4o4SRM2SQFwY1PmNkVNmRA2DSpdHYfWBt9LCPyIahDSqPZJ6PP5JyR/+MVJnjs+gYgCdk1ZNk9aZicVc9M+m2YlW+Yidmxqc3qhw29+sk48rLJtm2CyoWnWoVmLEF5Iu19nsmERQmAtRLFkOlDEJqYT+XR6CSttxdmFKlde0uAH/uEq7/2jgJMLdbSK0gtDE8cVBqFk00zADZe2ueaSLs+fPMuf3FXljscnOdeqUg8UDR/qnsXXFk+BljbPDper6wxgjbvoEiNILMSJax6JEkGYuCRRPxH0E+jHljiOMdGQmUqfN922yrtu6/CqqyMmqh5hVGelFTCMfKJYE0ZeGhtl7o10gW3q3LS6Hc5cuGdDpyf/27XXvTQ+c+bc78/O1KlU/+bY/G8U4P1+n1qt9rZ773/s1+64887maqtFteK0p0hZREuLTiwqFvlzTwp8Zagmgp7y6cWai8MKf/lwnXue63HTnV3+xTd2uGJHmw2TimZNE0Y+YewRxwXIkwzgRmKsxFonCYoOnzTVr6wLYnVM4Md4KqTdj1hoR/zyxyocvzjFE/snscZnpirYMGuZnRDMNBUzkx4bZySbZmK2zvWYmVzhs08aHn9hkmu2CaYakkZN0qwZ6tUQ4Q0JAo1W7vdbC0ki6Q81/UFEbIQrBe5altse80tNXr6vy8uuXOWP76xQXVZo6eIwYzVx4hNGrsdzdrLCS/d0eemlXR59zTlOLkg+dMckF1drnFkK8JWk7gn8TIZJF3jmRJ5JFRyTx1YQG4iMYJjAIIbQWEhiiCOkGrJlqs81O935uPGKhGZVE8d1Wh0H7DgFtlthC2CHsSKKJFEiCSN3jxNJp9fh2afumployl+7dO/1K4NB/xN/k5j8GwP4M88dZNvWTepDf/DHl+4/cKi5vLSC1hqtXJbRuRWWKBao2Nl/OgGdCDxl8WNLJRHUlKCvBD0d0E88lsIqdzw+wQMv9KkHQ/7xm1tsm4nZtaXPy6/qoIWiUdMI4eSKy0q6WmlrS8xNmjgSzjO3xCBjnj8ueeyA5vZHGjx/qkEY12hoxVzVMl23TNWs88GbmukJzcykYNN0zJa5PpvnVrjnuSHvu30Dmyc1c01o1hXNuqBRi6kGQx44pBiEGq/uQGWtIIwlFa24bm+fh5+ddIVP/YTVtsfiasCFxSl+4C0XOLO4xMNPzeFJQEQYyAE0DCXdvmaqUWGyWedle3u85poe3/raBQ6cNnzqkQqPHKhy6FidWGiGQ0UvUqi89KEceKY5AWuIjcUagycSJvyQChEvu77L7s0Dts1GvPuNQ6q+pF71CMMarY6frqQ6JRyVe+1l1h69uxqgJHHBfb/b4rGHH2ieO3fh0je8+Z3q4vlDyYbNe//uAPyFF15g+7Y5/4EHH/nuwTD8xeXlJSoVD2OyXyDSuhKXodRSoBLQiWNwHYMnBZ6xBImlogS1RDA0MEg8+olHL6nQ6ST8tz+ewsYRG+cGXLljwMxEzDtf12fHhpAoEqnellBi7vx3S4OQgo/eXeWZo3WE1pw8V+PshRqVqmIiEEzWLc2KoVmBRlUwUVM0G4qphmZmEmYnYzbODNi6oU1iV/nofU363TqXbbM0a4pGTdKoGhqVGM8L+ezDFYY9ibcBZAqmKJbUq4o33dTn3icN3aGk209o9zSrHc38Uo0rdjd456vaPPF8jZPLDZQ0QJTqZY8oUQwjl5jpDjStrk+jWqNeHXLFtgE37xtw+mKLE+dX0V7C08c0f3ZXDaFc4RpCjp5EawAD1hKFCTs3xrzrdX1mmwn7dlo2zkASewzDBnHssdL2iCNFlOg0DnKAzgDuYiKZuloijZMKIyCKnb5PDCRWs7S8xNbtO3/xwAuP9xrTl/zuoUMHwr17L/+7AfAL82dory7uPXP69K8//dTj0tOujiQxFplkBVMWmeruWIFKLHEi0LHTiVFi8RKnAQNtqaQ/D40LTodGMkwkofGIDCx0m9z1jMGS8BePuJENWJPesyxeapGJrCJRIpUijjTSaDwtaQSwe85S9wy1wFALoBYI6lVJo+rk0ERDMtWEmYmYuakhW+Y6JKzwy39e4f5nN7BnBqZqKXvXJI1qTK0aUq/1qVZrBMpZZEK4YNcYiCKPQV/QHyZ0hirvWmp1FCt1nzMXJnjllUN++Jsu8Et/pjm1GiCEwdoIk1ii2COMJIOhK2Nt9DX1ik+tWqEW1KgEEY1qyA2XhfhexI2Xxbz7th5axWkSyCCEHRXlqaQzRiKEJPAU4DMYapZW0gbvJIt50nssixgoDSIzcGfOVp5YKj8maQVnCnJrLY888rhs9+Svz23s3ReFw+f+JrD5vw3we7/4MZpNUT196vA7zpw4IqaavrsyE4M0rjJPphlJJS2xsChj0yIqpw3jlM2TBOIsok/SqD6L7I0oXhtBaCSxlSRGE5mAJLW9yrc8SylAC+EylQoqVUtFWyoqIfAg0FDxLdVAUPUltaqkVtEO4HXBZMMw3YyZmRyyYbrLlg1LvO92w4fv2Mj2ScVsw9CsKxo1Rb0GtWpCoxpxfslw9HxAxXflt5BV+gkGoWb3JsOm2QHtgU9/YFMWl6x2NI1qhUZtknffdpFj5+f57U9sRUuNxZCYhNhYolgzDBX90BVF9SqS2kBTDTyqQUKr42IM30tcwsxL0NI1Skjp0vkivbvSFWfeOpALWiatsjQurkkSiTGS2BTxTpyIUoCfPS89ximY8zsjz5P0HhvBcAgPPPSUuGRP5x27du86+kd/8tH+t37zN351AS6l51+4uPhj8xcu/JhJhrISSFTsluHYpKBOMqC7Wu4kES7QSyyxAZ190Sz5YGz62ubvFc+LSjnn5Yo8UCprbiDN5Nk0uDXOuVFuxfCUwNPW+cZaUAkkFV9SDRTViqJRlTRqlol6wmQjZro5ZHaqx46NSzxyaMgf372FqUrAxoahWRMO3FVJvWKoV2IatSGPHISnD9S4dM6murdIm/eHihv3WS7b0efR5ybpDS39QUK3r1OQe9QqVaqVSb751cs8fegiD+/fBFZhTOLKYWNLHNnclegPNbWBpVpRVHxD4HsEfkKgDVoneNplh7MyCCndeUFYBIWeK4JzV0JsMkfKZPZryYrNgG0caIvXWba0uCcZuNP8RGZHJmkpRZRYer2eXFi48B8nmw2/Vq+9Bwi/agDv93syHPZ/+ot3/NGPLC3O+1J66PRfFEKgEkGSHshEWndAlEsoqMSSKIs27rU7cBaTkD9PsoybzTJvFpNm4rJkhbWWUuZ9ZMXNUtVZQkfJNGOpKBVtuexf4CsqgaIaCGpVQaNqadYSJuoxk40hMxN9tsyt8PDBPj/9exs5dWaSS2YNkzVoVhX1qqJegXoloVqJ8L0BrYGrhvSURcrikyVGpH6wT7Ma0YsNvbTOujdI6PQkraqi1gmoBA12bYr4me9u8Z8+KHlo/0YsCmMNSWKIk5gwNoSRYhAq+oGkOlRUfEngWwJfEWiD5zm/X6us1iddWVOZIoQdbdBNU/s2JRGb1rIkKeATUzw6MpLpoygAnj1PitKAbHV2STibP8aJIY4tUgnOnD7na6/273/w+77T6/f7P1mtVv/avZ1/bYC3222iKHrPAw8+8K9Onz5TCXxFYiw6LXmVEhLplh4lBbHKgGwx0oE7ScFtsudGYIzN08gm92jBGuu6yNMS0PKdMYCnsjsNLJ1EcTXlThLptBXN05LAl/ieohK4kQzVwFKvGBq1hGYtYqIRMt3ss2VulYcP9PhPvzvLwVPT7Jx2DkujKqnXpGPvqqVWSahVIqIk5A/ubCCVwpNp9jZjcJst4R7f8YYVPvd4SCcM6KUA7/YVna6iFWgqfkDgNdm3PeZnv2eJn/pdwYPPbcRYSWJcWj2KXaHZMDQMK67cNQgEFU8Q+C6z6WubZ2y1MkjlZKJMY6Mc4EXKE0hJBJdLcG5LGshnAE6nDpg8uVbo6iQH+YsDOzElXKRZVYPgzJnTlYceuv9f3/qaW0W32/nxer3xfxbgJ08exxj7sheee7qahDGVIEsN21yGJBKUIX0UJFKQ5OnhDNyZ/HDvmbxWomi/ckAXro4iA3V24Mc+VwbwrAYjy+Rl7K11Vnci8Tzp6jd8QSVwM09qQUK96sDdrIdMNvvMTbZ45ECPn/7ANM+fnGXblGCmXpImFU294upXqpWYahDieUPOLk25wjJpUluuCDKTRBLHis1TljiOaEeVtFPG0B8kdAaSak9R8T18r4KnJ7h8W8zP/pMF/sPvwMMvbCAx0gE8sURxkjK5YRgYKqFk4KtcgnkeeNpJNFenYtGSVKaASB/XwbiTK6RJIUSeHDJpcijLFidJ6X1TSE6TxlNZWUB2vnMcZOc+PedCCEwS8eQTT1Z37tz5Mvm/MaP8rwXwA09/mg0zvdpffPJuX9oWfgBKOwbIvqCU1oE7BboxkKjstWPqRJN/yVFgZzKk+NI2kyPZ8xf5bFIURVRSgpQiB7eSMm2UyOQJVDwIfEO1YqkGTj/XqhHNWshkvc/sVIvHDw/4qfdP8ezJObZMKubqhomqoFGR1CqKWlVQrbiLw6X6Qx7eL+gOfCqK9CJzGjxrQkiMIIo19Yri5Vd1eOT5Jr3IyZT+MKHXV3QCReArfM9P9fMkV2w3/Pz3XeRHfwse3L+ByEgiY9Jm6aIHc+hLAt849vaKOnqtsjupTClknEyzvOuBPEsK2QzgKeCT3Hlh3ZXXpLFUGchJYtOfZ69Jz3nRE2sknDm3zJ999JP+jbe8vvbhP/1U79vf9Q/+9gG+unSCieltk88//ue/OV3vvFrEoRvtYCkV8aRFTtZpblNathxjF1e5UWJ91i4B2uTALg4AqfbOT4YouoGEEHmRkcoBDiqtGPQ0+B6uE8hPC6yChGoqLxrVIRONPlONNk8dGfJT75/i6RMb2DSpmasZJqpQrwjqVUWtqqjl7J1QCWIatQH3PO2z2qowNVWkyTPAmFSbRoliw4zitpd0uecx47poQlMCuaTiSSqextM+WleR0nDFdsvPfd9FfvS3LA8e3EBkNFFaAejKXh2TB5HMqwt9LdE6LcKSAqWzY0P++bKLMJMqIqtKo0gIjd9N+byb0mO+8q5l6ayyMzFrSa28Qrd7QwZJ+9Wzx0/8zg/+k3f+4I0HT6xevm/X3y7Ah70zLA0v/Oigc+RbNPNMNCrEsXXpcZNpNOuAm0bLiRWpzs6u8uKKz+RHkssQcvYeCSTHmTtFepaRy7W3zCroCt2d2ZFa4eoztMXzXGNxxTdU/IRqJaZWiahXhjRqA6YnWjxxaMiP/dYsTx3byIZJjw21hImaTcGdsndFUg0c+1eCmFoQEpshnTBAKImXMXiuwUXKXqlfHHnU/YErFwgrTGUgHyT0fMfggS9dTbzONqC1XL3L8t4fvMC/+w3Dgwc2EhnNMBGEiUlZXFCJDIFn8T3Xu6rTuEMrVyKspEyPT9qVnz2WCrPyC7Mc64yBOyehEjGVwZ3HVWUiM2UWp/RniudxAvOLi0j/+Ld88b4njw7D6D/8rTJ4e/UMlfrWnSef/Z/XmPAUjRoMozgtV7VFkVMaLDrXJAscRcHcpZrkbDSazYJJWwRiBVMUWUlbXjMz1i4Hldlym3boqDSY0jrtDEqLkLLqwYqXpLo5oloZMtXsMVHv8PD+mB9/3yxPHtvI3IRmrpowUbE0UnBXK85OzMBdDRIqfkyzHrL/hOXuJ+r4UuIpkwZxhY7Mlu8oUcRGc+sNEZde0uXoqSpzNYo+x2FCb5CysFZo7eX5BCEsV+2En//+Rf7Dbxnue36OQVR1ybDYUktruAMPB3KdrV4m722VKslXOCVFCeCiBHLW6JUC5HYU4HmFYrHyrrcyj7+XZBdD4gCeBaRRYgmN4oUj5/nknY9d80s/8/07jxw9c/LSPdv+5gFu7RHA3zVcvfN/aDH/Nk+2qAZBypSKKM08umhalmRIZifZFMw2B3V5Scv8YZt72mMuyRq3JGXucXALi1SZLZjWvKiUtbXF1wbPMwSeIfBjKn5MJQipVYZMT/RY6fS49zn4+T/cxDNHZplNwT1ZtTSqgnpF5F65c16MY2/fAbwaDAmThEG/QkW5i0yK0tJPpllFGmhqp+X1kGFo6UeiBHCD7yf4nsbzpJsqIL0c4Ai4drfg539whf/2RzEPHpjhXKvJoC6ZTCyN2FJJJw4Enk29/8xJsTl7Z1IlA3j+edMPXcZ5rhDTk5KtqgW4RyWlq+ZkRIKUgZ4zuC30e1aTHsauQ7/dGXD4zOrbPvDRB5PbXnn1v37k+TMnbr7qKwP5VwzwO+45g1QrN7cXn37H5uARNs1M0e6kU6eERcYKJaVzSnLGLnmmeV9gmpwx2XJt0wMgSgdmVPMVt1FVmJ0EN+4hY2+bXnS2NBzIlcV62qRjJpIc3IGfgnu6y8JKn5/7gxqfeGiOxe4UcxOSuUoK7orT3bU0sKwGklpgUwZ32rsShEDIF5/yWYl8ZgJG6rERoytUkrjmh2aged31PR4+GNKJAibyjnWDP3S16r52ANfKoqSHkC5Bg4XLt0t+6V+0+dTDfd7zgY2cWZyiP6mZ9AWN2FCLIYjc6GVfuYFGXhZoSpEHwdljOVAvX5hC5L0i+fmBMQlZBnYpfjJl8JcBnbF4BvjUccnq0HuRYHmoefboM3xz4r9jxhN/oGq9E3+jDN7p9KjXq5f92Sfv/5fv+Y3jfNsbNP/4jQPCUJMYgRXuoChpiZXAJCUGt7JoOihr7RzUmQSxhQ01ztplWUI29Sqbn2LzOhdnUaYAV9aV4+qst9P1d/pegu/FVPyIwI9oVPto3eOepxN+59NNbr9/A6FpsqEpmK04WeIswMwnV+ldpMxdZu8IrYc88MIkvVCzuZZ9nnEGz1Y3V/xf8RQvu6JPbBzA+5FwXetZ5/rQuOBQp7NhUntPpMl1i2B2UvAtr+3SCM7xgU/3ufeFGeajKr2KpBlb6to6kOs0DlE2jUtsCvLsGIqidlyCpGDxcbculyrZiArGtXm5e6ioPbeZHh9bxbOmi8SInMF7kaQVGd5+U4eX7XiccPDSf7lj121PhmH/sO9X//cBvrx4mvvuu5vpqYkt7YWjr5kJhniiRhzHCOGSBtYmSCyxtGn20qRBp8Bak0+NMunjiBzJtDZpMmEE2CXroWxfCTsmTbKsHHk5QDb5KmNuT7lajMCL8P2IihdSqw3w/R5/eIfmF35/A0cXpvGCCpsagukgoRlY6gHU0w77auCynZU0IeTqV5J0JXDyZLGd0A19fKXwpc0DTEpfJbuws9qNMPaoegM2TfZZ7TXoRyIdt+ZiBc9LUptPpXancgAfCVxd5ePbXtXlxisX+PkPDfjwZ+dYjuv0Ao+6J2lqV4MTaPAVeTOEzpI+6conc6lSJIDKpDIqVspAZ2QFNnZUahbanDxhl9uLtjAfsnqjKAW/L0HaGs8fBHXuxGvmNqkt/X778JFjp7j0kh3/mwxuE177mpt3nT516H06Osh3vilg364Gvf4AawVSGrR2B0Iai5FZRsvmjkEmU6wp6huy4DE/CIiSJBFj0iQDty3YJM2+yTLApUVJgxxh7iQFeYyvnSQJ/CGB1+fEhZjf/lSdj983w7ELUzRrHtMVmAoSGoFNU+8ZuGUKbpknhSqp9g58d+E060M+9oDm8MkqlXQCV94uRoHyfIyDdTo8ijWX74Svv7HD73xmhm5N00xnjwRhGjcog9YyHVtHCeRe6Vy5VWHHrOTHv73HNbvP8Fu3T3NsfoLluErP09SVoJYC3ZfWXTipy5SvftlxzexDnD4vMp12rU+eEVNWOpH75mstxcw/H6klMkWAaUyW6nefZSoQPP7sFK2LlunJZ3nnN+5539XX3vTmVqv9ZaXKlwS4tX2gQnvh/m30n9qzaeoCvq8IPHdSHFuatGLPkhiDsQJlJCZ9XrC2GAG8zd/LDoLIWaBghYy27YgOzIDtHrNRyg7czjXJ2DvB07Hr3NExQTDE10M6Scivf8TnA5/axNmlSYyqMj2hmPYtE76hljJ3LU/fy7ROJZUmqXeeg9t32cthFHL4TEA3DJgKUhcnSzplrkSWhbWlmpRI06xrdm8LUcGATtig7wuqkWWYAVwnaaJGOR9bZiXA6wWvirmJHj/wth7vuHWeD3yqzW9/dIbFfp2+rlDRipoWVJUliK1jc+mkipZFeUOW5VzD5KwjV8YdFmAklsqkSInIMibP47MU4EkWozg+o6IgigRnFuHU/DLNe5/f00v8bW/7uhtPdAch9Yr/1wN4e3UR5TXmwrj6kZWLj3uTTYGSbnqSSEHl2gssVgpUDugC3DljjwG9zOAFYwvsup/EluxAmwN7RJ7ItEpOJQ7gOkGrBN+LqPghvhfSGoQ88IzkD+9o8tH7ZhgkDXzfZ8YXTPqGum+pBZaaX4C7EkiCQBKk0sQlhlJnIgW477nM5/HzlnsfrxFGHkHdrgkws1t5VTPG9Sh6nua2Gzv88ee7HDxTp19xoxmGnsWPwYsMXmhQSjrfWgqkkMVwH4rjmRhJbCS1QLNxss+/++YeV+wY8uE7Gjy2f4KFfp2B8vE8TUULqhKCbMBSZq9K6/IJghLIR2tWxouzyoyeEdS4I5a9LvS3KLF5Sb6lF4dM/7EwhnYflPT4/L1PeV//dTd9ZHll9SUrrc7CX5vBm5NNefHckZuP7r93IuoLJhqRW/JVVlNs0lkfIpcZJh1kOQ7qsizJ7xmw079bZvCRwh/Xo+OYPE8pm7zc060kNv1c7p7JEa0jWt2I+58T/N5nmtzxxATLrQayWqFRVUx6lqZvqHmWmm+p+qSs7Zi7GkgqvqLiCyo+aYWeScFtCDynv5UecugMnG1VXGIl1bejiZOifsb1QTqQx0YShpqNTcFl2/s8eyqmF3kM0xnffogDn8om62aJGpBjnTmFW5XKn8TVh7/rtj5vvGmFLzzZ4YOfbfLY/iZLnRot6dP1Nb4S+FIQSKd5tbRokcU16RQCkZb9rsPga+pXxpm8RGiGUuBpBQmFq5LkFYzuz0lAp4CPjKvdr4uE2z9914SEm6+8Yu9n0sP5Vwd43D8TNKqD35gMnq9b3XMF8ypJJYFBklpViBHgmnWe5++ZTIeWAF46ICO8MCJN7EiBfvYZVNqdomTiBuJnboaMWOjE3PO45tP3N/jEvRNcbNcRlQpew6OpYcJznTxVj1R2QNUX6V2mJaep7vYFQcbeGcB1jO/HVPwQayO++ETAyfNVZqcFnjSpjhVFo2+J7WzJQk0SRX/osXOj4Lbre3z8oZBu5NGPBBXP9av66WSpYpVSuV/t5qhTHFcrXF9q1qhgnN9eDYa867V9vu7GJf7ivg6fur/GPc80uNiq0Rc+fV+jPYUWwrUQSoknbCq1LApRkoaj9uE6ZF7UlZQeTVq4VcgTx+CJhTiVMBl7m1Si6LQaVAtLEEM3hDsePVe/5dX8xvNH568A+n9lgK+0DO2w/23D5bsnd2w6TBK7Tp3sahTpSLnMpnLvyzUAz97L3h85CeB6J9epCRwJKEvAdgM6nSQRKcC1TvB1RKUSMRgmHDwLJ84p/uTOCT7zWJOLK3XwKuimR01JGp6loQ1Vz1L1oOI5cFc8N5PQlZnK0l2kP7cpyE0Oct9z7WlHzxmePR6A56XLvC2l6MUICspBWJJkNdNunPPVu4dcua3LgbM1+hVBLRYEkWWoSK09k7J35qZkFmShVXKfPbUijVHp9AGPQehRrQ75rjcNeevLV/nc413+9PM1TpyrcOBsjXA1IA40A62Ryk31VYBOHzMmz6ULRfC/5lZ2UyizdypLIAd30bRic9sxu1SGOe1ZlHV/aX5+iceffYrZmS+9RcqLAnxxtSXCcPjDv/GhI5OXbYCXXtrjhstiN15YC5JYEoYZC48CeeQ5Ih3hUNLZI+AuXfIjjGBLms+tFE6SmHSXh4QgcJNU4yRhfgnuvEtz9EyVux+pcnalytFzdQgCVE1T0Yq6ttS1cS6C5wbnVzw3rs2BOLvL9K5SgJNq7hTcXkLgOfZ2F1bI8QXYf6KGJ0ftwVyiUNSD545C5qSYtK8x9rhyZ5/LNvR47lhML/ZoRIKhBj92MwFVCeBSCoSUI0xeMGWpjNVk9eeujzJKPIaeT7Ma8h1vGPKqa9qcXWnzxUd9jp0O+NwTNc4tVUj6HkZqIl8hpHQrRdqVL0kznpDLlvVAPhJoUs5SZ25LplGzXloz9txCDDayCM9gVMxNe/u8bM+AV176xdk3vOHf/Mt//e6j7xXennXDtxcF+G986FNEccLv3z4gjnawe2OHq3Z2ufWGPlfuitg8FbNnV4JGkEQyXxJdkCDXgNxJk2KUQ9FeNh5Y2lLEXrB2LkVUghckRInl2GnBs8cUdz5S47njPi8cr9IeBgzDADwf1fQIlKCmoKYN1ZIPHOisTiMrm3V14UEqS3xf4fsyvQBsob29xGUWPafzK36ENSEXliVDG6C1xJcWXbLZxgg8B3liR/sdw9hDoJmbDpFqQDfy6GnhnI6oKBjTyoxkIGVmUgNkw44QWCMLJi8NRvISlY+f6A19Nk2F7NgYccMlQ/phn398vMVzJ3zufLjCs8crHDtVIYoVBAorFQhJIkvZoDxJsY5WGRHnmQ9sRwFM0dHvUtzpPbZoDHt2hWydjrh8V8it14dcsdOydVZhkpX66vz934LQ7/0rMfgnb/8sFxY76va7nheTWjA/nODpE1WePdbgjkd7TOiQHVtDrt435I03Dnnt9SHYBM+Dat1iTfqljSBOwZ8Fki6YzEAtRg6Gkz1ufomnLQiDkJYotPQGjtFPnJH80R0BvUjx1AsVjpwOWOz6DBMftA/KQzUVvhRUFdSUpaJw48xUWnikHGv7nnBJjzK4PYmfypLAh8AndU1cytzTBt+L04xoRLUScnEl4c4HG7Q6AVMTAp168VnRl3gxZjOlgNBIhkPF7IzijS8f8LnH+pxq1el70skUDV5s8aLMs049dpk4u5DyrBOZ/w5jdel3OKD7iSLRithzYx+iyHNWqhdR9yNedXXMy64Y8vbXDDh0WvL0fo9+qPjwnTWOz3sgJL2+JglVVr6J1RnAxyyjcvp2BOCANYjEIozF4nzEat0l5ASG110/5A0vHXLVvpCdWwwNJZmqaaK4QqdXY7XTYNg+Lai8VD3x6BfiG2667SsDuLEwN934dZV0r53wE2KjQPn0IsVC32MhDjm+HPLg8wl/9oWI2akIayzX7w151+sHaae0ZW7CcN3VIfWKO5lYkefA1p5zkQ/nafUETz+jWWpLqhXJI/s9PnlfhUGkGESK8/M+Rmgi62GEB1ojAo2WEl8JKtJSSYEdKEugrKsB16nnqwvm9rO+zBzcKu3RFDl7+57B97MCrSRnb9+PUCrkricVH3+ogfK1s9tG9PeLM3jmhSdJ5ngoBgOPt97S5xMPtPnwFyfoxhXqqQ73Mh0eZUkZm3cLCZHv3JUeW1nS+iWAm3S0g3ZM7mlFrDU6ThzQVYJSzgqeqsTcsi/m5fsirBjyztf2GERunNtf3hfw6H6faiBYbCuefs6n3ZOpShK8qCjPd55wrYHXXRcyO5m4JojE8q7XD7jusghrYG7KMjUJyiqM9Ykij3YvYBAG9PoVOj2P1V5y7YadE78O9ge+IgafX2yzcabR/OXf/vi++ZVIgaWqLU1jMSgGsgJaY4zH0MTMtxLmV2OwhkOnDJ+8yy01NjFMTBluvjakUXX1v+umJ8uXeuo6rHYVjz3r024ppJZuJorVjpmExs0F1iA1Uko8KRyYpSWQBl86IPgKfFXM6HMgF0XDg3aNAFnjcRncjuHTslovY/CkdI8JdIS1IWcXfcJhhWBC4qdpb5VW5Y1kMQUFeZWs07w73SjCyGOqodg+G+KLAf04oB8LqtoVH2U1JFlCS8lyeWux/aL7HWnQb0yRPTUmLWsupFEcJ2neQKVz2WOiOEFFzjVzzlnMtlmTrhiGK3YMCG0fqQ2tluCxZzWrPYnKFctoUD1C6NY1ONQrlpddGzExZbCxW9krSqABY5XrO43cUKE41sSJl8479IgTBVgm6m013Vjat3PfO5smWWlLNfWlAX7x4iIrKyvvffb5469dbXXRSuEZqCpX8QWSIZ7TYjZxPUnWDd2JraFl0/1hlKW9ajh/V730FdcDeFm/pSdHCEy25QJpzalQRZAjZWplZaBO086SdOPWzDcuPeq0k16Rbr1HDm7X1qXwU3D7mrzE1DF4yuLa4KfZUc+LCIKI04uGD32uDtp3MxZlKcEzAr5RIsvYNRsS6sDmBuuEkce739jnL+7p88KFBt3Eoxa7TWldFWAxV0aoLCdQDvay0sVMCslSgVd2N3ktjNYKL3G5DS8FupJF0szVjafPhUkHByVoYRE2YbZm+AevNCCS3F1DZPtnrHXICjgIMJokKuKzJJJEaTw3anUWTlA2j9JahUm69FaPvrbbOv1eY+J/9mUZ/HOf+zxSCj/snGemDr3IzSnxDFRM5k0KQuOuMCu1CwxGIuEigEi8kWqFdb5vxm4ZwEeDFyFl3oKmBHjCpZUD4aoFPelea0laU5F2j2eFRJrSHBTSndmKrvoC4DKXLYFv85Y23zelwTkxXsrevo6QMuTkvGChXUFoTSAZkSey/LVKp7ssHUaAlzodYewx0xyyc1OfA/ND+olmkECQCLzE4sWpDo/JnaUiha5GOhWy2M5N2rUjdfpJOqBJJ4ZESZTOti9XabFaglQmXSlMYc2mIBfZ78akA1Zt7noVNnKWKymBOod9EY+NJv+ynInML35jyhO1ZEoEmnZPsdBus9C6y3ebiX0ZgHdb5xFCMFU39JqaaNW4AAbHGAFO3XlCEFlBbAVGpHqvpK9GGPtLSROR/ut5L6BAUqSI3VQq8ITFEyloUwmQPc/fS8m+KAUlb7D1lXBgHwG3dI9+BvQs+EzBnXX/aJNLFE87fer7ETERn3qgyoWFKt6Ewi/XcJQdFMYUaTl1nZU3lJI+g6GbYPuWV3R54JkB7bhCT2uqsSFM0+lKFgVRWcGZEIaicygLNEuZQQvGpDNVLCTK/U5tBLES6ESmu9i5Wp44BXqRTDNFkk+aUuLN5LviFeBObd58r5gXOf95FjtLABVGRJ4VNwWTZ+9ZIIoVy62AxdUEf+HsujgbAfjBZ+8kCCqvfPzxh26crllaQzh6wXVVGOtAp4VFSIHCEmTZpzzdKvIJUxlTvSius3uWLBBu0+6scEtDbrWpNGWsRNalUzzP6ia0FPkohDKw8zkoCtePuB7As4Az0906kyU21dujteS+F+F7IfMtwxNHqqB9N8xf2jw9nzM4oyzuzqko+cDlvlSZe+JR5HH9pUNmJvu0Vmr0YkVNgRe776LS4UkqKgMcB/L8F8mxSk2R9k26UmajXCmzZwSJkiTKkChBnIK8XLyWlUPIDOQlUGclEwKTgpy0pDnLRBdJuxGLwRbHg/LnzAA+lhE3qdQSwuLrmFp1wGrX8uwR2LiRG1/16le98s//4o77v+EfvWF9gE/We0gZ/YO9O1avu2zjWVaiiE8/tQFt3HQmSBlKuYySteClH9GMfMDRew7q9LuVzaTsKs+yYgU4bM7g4yWcOquNSGvAs1JP11ycdao4WaLy7pUC2FnzrWPvVHNrcr2dWYKOsQtwe3l1YoQg4vb7Ah54roEMNL4Ubv52XkFYtNEVFX/j2cz0xOUs7rRmYhT9gcfLr+rz9a/q8Nu3NwiTgG4iqSSWYbpxgC6vGMKkcs6MXVAvxuRgtCy6r1JwJ0qilHGMLmU6WiLb8c6UAF4CthwtoyhkSrZIl1Z0sZbMbVm2lLPdlKRLBnzcnBnfS6gEbQ6e19z+2Bw3X2uu23Vx+A+GYXL/ugz+4FMnOT2YeOPJIx/99m3Vp1hpdfjcQ1Ms9QVT3iioyicIiiwVWdI9u0hLYB+vWyiDOwOALIFCUtQ8lEcbZMzttiDJXpMyOHkb1giLp90wnhoFtxunMMbcac+mn7a3eTprOIhL94iQiD/9YpPEBqg8e1kOMIu+xszZGNHgjLXrGen6WZMs2NQIPN71uh5/8Kkhqyain1ToJwIvJmdxKS0yFnnRmbMLx7WoLFmTogRyQaLTUQ4qBbm2KOPkSqIsKnEVjC57LPPS5MKiLFd3FmXMeVNKDvRCqqyRa2Nruy0zO2XlUbQnKpVQq4S89ZUtHjoE55YH7N624dvfcOtb7/7n//jQ54TYOwpwKRLqQXjp3U+y5xN3BBgxwamFOr6n8mU3r45LP2h5U6cvJ0nyjyhKTF6SJznQx8ozcy0+pjkz0JdneyglCi2eVtyNDLtJga2VKJyU3A50HfeuMdmmzF0EmLrE3oEX8sQRyeFzFazyUFLiS+OKgsp1GiUBPu6iZPesPzWrm8+SPkmiiGKPPVsirryky0OHqkTKpx8LKhK8xKJjkcq3tAsnTnU40smFkV8pSiwuStKoGOWRNapoZVJwp+1sypbAndUC2bRMIGNy8tVDlMCNyCZmrc/eL3YbYfMc3tnFY1xbZOxz42Ux7/uRZbq9C+zeec0emySXJrH53BoG77dX0XZIMjRcWJ4B5dOsOnuwkroTqqQrRyLj/Nd/2Y88Ik1ywJeBXgK3ymu+C9utkCzCdc+LAtwuyBR5t7jOwS1HAF4e/uO67cmBnWcrc+ZO8LVL7LiuoAhLxJ99scbSUhURaOe7ly/C8RqU8iEqWYTZNIFyHXfuTRtFFGlmpyXfdFuHJ440GSYVesqnmjgtnpWzKkkK7mytMKknnqXBHYuP6Nxsfs3YVCp3l+mI6/RubJ5YctuqpxpcZvsdZdJEFs0R4ww+1rQyssyvixYx8kfK5RtFMjQgShTTNUNNG/odj6XFNiYpigtzgP/GBz+BVpJz8y22TkiS9MDkwV2q9ca7rMcB/CXZO/1fIU/GHsuALrP4yHixgrFlmcGVKLF4JlckSo8C3NfpACAv2zowzXBqi5en4k36PBm5a+U6d144CR+5o8FQ+iip0uzl6IU4nsFcozuzx4zFS26KSRk8TjRBovmmNwz4vc/0eOZYlUh59KTET0zqHglkYkvHyZkAmZPhbib9XaP7FpWZPDGgcwsx3UcpLQlQiS2GdeZzWUR+QcdjejwD4miDRDH7kIyJ/4q3rMFFpJIuTq1CEESRYNg+wvyFZSAZBfjRE2e5ZOeW2vf829/Yvdhewlfui6zLsBlIsyvrS6BZvMjrkWpB1qa010oUkQNnfByyLDF2FmRmU5u0zjZ5TbW3GgN3lr73ssZk42aG5C1iWU9nnN4jlBdy+KymE/qgdCpP7Fh57PiFO4rw0YFGY1542o1TJH40dU+wb+uAZw6HJCagb3wqiavZ1qkGV8Jt5OoSSxlbZi0DBcidxpX5qmEN6HywqXsvG5iqDWkHkeu3zRqSs+laSdbdnxsARXCZB55j53s9cBdE+WJFHHaUGIV0F5Uo3rfWUKv0mJzZtnvH1f+21m39YK8+sdUB/PjJ8ywurb7hil3TP/rkE30CzwEqPy9lu6vUcPqlVEn2d61Y++/kFw4un1MGQgHsoo9RlVhRjQzVzEBOUSOtSqDOn6dJHkXqhTtwOwAXQ4G8sjwps7dK+zr9kOWO4X/+eYOlfgUReE6eSDuyqhSDc760cBuZJpDNickZvMjeNWuaH/qGDl94osnS0CeUmr6U+GkPZTHyIWW4cj29MGRltBaTgtu4RsMRZ0WkDG7zID0Du5IiZXAniZLcRSlW9UKHF+2EhUzJtHNhFZbJcn0ojddQlzE0Knuyfz/uJtRntv7o8sUD98dx7y9yBn/w0ReoVnwOHTmJJqLm+yP0PP7L16uO+3JMPgLwMXYrVghRgFyOS5TRwTQ5sKVAqmL8mCqBWkuJTiWJzgGeaW6TB5WeNjm4s5a8oiPfgdtTEb4f8idf9Hj+aBWkh5SSICuNFYW1me8Rn37JF60mpGDzoru8AHlsZLrJk8fVe3q87VVtfu8zFYwO6EufQIo86aOkICoFdONMLspMPmbB5VJFgbJuVXDN4+SzHR2rC4qxEsUsmmIyrevjFHJUnuTOSonYEC8SdOafeT0mH3teWgmEAGsSVpdPY4VHEg/JAV4JPILAp+LrvOg/a///697KJ7XQoSL/YJnDsB57F4GlKNg8Z8gvB3BZADxP9GQAt25OdipFPFW4JV5pOFChuR17e9pNrVppGf7yrgaLrQAqqXsiSsHYi0gUshqRHN0lkI/bdqXMnUkyN0Uz1VT8w9f2+MQDA5a6AaHS9BOZ2pMidW9E0Ywty4kVB2xri64fk7N50RupM2dFpc/TsddGutHX2XEvg1xIUeq+z4Z4psw6osfLw48sa8bCCZsu9yXUvVjgMkIUxeVgbYK1Hkr62FRi6xf2H2ZudnrXXfc+8sMPLs8z1dQoWfTOjY9Pe7HZ3KL0WJYllrGTTeYNjzL4CHuPHKw0cTIC7NHZ3+UOFzfcnVFwZzsbZMytSsy9hsGzcRPFyAmtXOby+AnBoZMVDAFC6rw5t6geLMcPouRqFF++XItSHE9RkicidzKKGgwNVnP5zpA9mwcsHahiE9+xeOJkii65OAV7lgu9UsGdldFCWjskSsEnGFnMKSnHNsq4i8akO3fkCS1ZkFEObiPSWSqZJi9LNptf8AXx2fzFCBWsA3BbeswdoWxglKlw+uwSwcQ1P7x992ueOn/2yAkthGEYDjcFHm80UYuphucmxZYmgI7MnRu/otaTK2PSZnyWRgbocip75L1SL2PhTIhSsFkA2jE46Sjgsg9evqdbWqsyuEsgT/er99LS0GJyQCpXdIRSEZ96qMHhxSr4hTzxStblyAXL2nERa9mnPP2plJYu726WldGGmktmQ97y8h6PvlAD4xEnTot76dboMhmVSjlzjlhyKcitLUmUklyR6XOZrioyu4t0Wxqbj1tOFEiTrbA2J6Yi4VN+7lbucntb3vaSgftFsG3HjllOCqU5l4kRxLGms9Bh407xxmEYbgpDe0Lr1F6rBJKpCVdnOwzdthj5tH6TsU4pU/litxK4M+Zao7vHQJ29Hg/QMkCLdYCds7kSpSbcErjT+YTFth2sBbYuBgTlI960SUEeO3miIqq1kIcOKv7irjr9gQ81jZYCT4xKk/HPPxqcrwNwxvT3mGVY9sWjWDPR0Lz91gGfeaDHIwd9bN2jnwT4gvxCU/nvL3RwaS3NQV7ecsoFn+kFphybJ9LpcVNi7SyoN2lwKY0o6W9RCnRHY6hCdxdxgXtP5EAfP0ZfEuBkDpBIRy27jWWHoWC5JekPIE7HR2stI5SIqPhur8feICtoMW7TIAFW2tJVzpe9jevvtQAXo2xXckzKz3MpIgpQS1XavUGJtDalAHcB8qxs1qJ1MUJZp5swaTUKdC9na3dXygWYvh8ShQmfebDGC6dq4HkIqVJQZckvO3Ji16siHHFUyqyNzZfZ8iQwk/W4luzCMNRcsSPmTa/o8vSJKsPYJ5EefaPwE8Y+S+aFM8bg7tGOfRZUdrEZjHJDnKwFKwVWgbSFHs9XVInbCzU7N6ZYNeQ4wMfjEsaA/yVMjVFCKE3GKgF8GAn6oaDds7S6Id3ekG53iL7/3k+itKLT7uN7HsPIdW1nGhxhsUYgLfnJeDESH4lyU1SPJ4bWY+5RUGeMXQ4wix0ICmlSsgpzxs4AXkxOzSVKytyOsW3O1Dp/LJ57aXCpVUTghzx3UvC5B2r0+j7UPaTIKgcp2YPrZDFL37N8hDL96NCVVhauUz5bLvbPun0ajZA33TLkE/cMePpYANpnYCR+qsWVAZVkdl36GRJyeeC6VkRxBlWx7GtFIV2kY/NsVcmCfGMd2KUpEm3ClN2U9JybgtnHcxxrAD4G+he7jc+wzKVJugdnkgBC8cQTj3Lw4POYJEE//HQLYyHQhiD9spQ+DFJghc0ZZ72ehfU+2FrdLUau4HVZXJbAXtbcOcid3i5nM5VKKwzTikLXzpU+1+X54GPgTu9eNoU2LfDXKnZ3HeF5EbFNuP3+Kvc+V4WKBukamr1SCe9IaWz5Xn7xYiesFNvYdKx01oycWJHXQGdAHw48XnN1j7e8ssfzJyvEsYcVir7QeEmRdRZJweLFR1ifyctD7JXKmNuxuXstkEbkOjz3+zNGz1bblMHzoZ1j4B4POAuQF4FnTgNi7bEqPy/a/QoJLQT4WjFZHTBVH7odtF91XYznCS4uGV44bIgig01HEUnpXJtihmDxm0bKYEc+0FrNXbC3eyHLAC+1dZV3FhgB9ohUKafpS3c1Bm5VuutiE9QM0F4J1Jlz4hwT96hUhO9FPHVC8pEvNgAfpIcQKu8iUulGqnKMnbLvkx2U3B4dq4UuOyp5TUi5hDZxrXtuCq3K0/fWat71uj53PjjgsaNukkBkFL1EpAVfKeiSlLVLirusvMGtHukeYiMmQqpaXIZTpvv5ZEFxpr1lyubCPebn0JQGdsrSxb/GTSneH8mXrANwxpRDOTjPMOV7bjOww6ehO3QZWL3cW6HiW+aXJWcWNJM1OaaNwApbsifFWnCvy9xFZFwAvjRldUx3F1JFpMmCwnrKAJ7PySuDPG1NKzabcjs7FAPwC3CPsHbpMWuszaSKUjGeFxMlMXc/UuXZI1XwPJAuuPSFLU2OLQdWYk1gJdY5UoVNlwFdlFwNRrV42spmVOqoJJph6HHVngGvudmxeD9xLD4UPgMDOhFF4JdkdmGqcZPSRTYmOcvWpZJglUVakdb+u0BUWIEVIK0opEopqCzYOz2vpnzhl+a6I0ZIcNQyXB9fZYNjdNx2ce5nJ2PQQxZa6aYBn7qvjhCCOIrRNiQxLnhL1UnqvYsxJK8Nece1VJ5Ny75I6YsVxv+oYzK6R8xY/Ykg33sn3704a74daXgoti5RagzcpaH4uXuiEpQuATyVKL6OOHxe8MHPNBhGHtS8VJ6Qt6ap8i7BZedkZAlbhwXGGJwxmVLeHMDY9bS4ph5IvvNNPW6/t87Bs+7iS4yilyhXZZikyR+E099JOpZjbCXJ1uMywKUttLhMZas0boKwkE6fy1S25LFSxuSmHEutv7KV5Zt7bkdIsAyxLyHJ82OY/R6dzrt5+VU+vu+qJdWH3v+rGyfrwX89e/rM5bWKK65xU7pECYSj93IwVZj8YvSxdHeZthd5X2bjgNPHdDxwDtyxezYyoexx54+60N3OQRkFd3mvnqKYKt39QUd5M4OnQxIZ8nufrPEHn5uEIABVQSlNTVmqyqbjKMgbnL1Sa1yRSS0noiTFZFhGAtQilihsx+yiFZK08bfohVTSIqxh+6aQs4uSx5/1iYWbPGCEQghXSrte3DOaHhflPoTitS2JGlvU/RfypbT5FKNlB4bRBOG699LPjYVye5qhyAdQep6z9To5mbIjFMaCYegxtfGWTXPbXv95vbp8drIe9N+8fQMMIo8wMvn1XZYp65D2GIOLNUye//3Sc1m+ksde50tdmbVH6sDtiPaWORgKSaJK2lvlOz2UNqJSdkySZJWCGXtHeDri0DnJH3+hhpu/4tg779zPfr9gZLxwueKyHGiK8oscQGPgMOXakGKuYNZdnqQd5iZRJCrV4onmm2/r8fG7a+w/44EMsUIySDw0ab1IdqyTFAZJlvjJoFqSTta9trjZWNlnkymgpAVpnWzJdLe07ndYk/rjJg1QR1bnUTYflyaG0fdyfI1fjCMKoaQYrFsFEisI+4oT50ISr/Xmlc6JSb1hagmfVeY3xpyarxDFJj0543sljtZTrMk6jWWjRhmjHE2PyZKyjpWjz8sAd10kmf4uPc+AnFW7ZRq8BG43kdWkj84OVMqgMr9bxSgZo1J5kqiYT95fZ//hQntLIZ33nXfQsO4JzKTdiNYcI4SRxEWmv8usZ8RYwsd1vpvEzQTMUvhhpLni0iFvfWWXo38cECYKhCYRmr4Q6CS177LzmXc1Csr8l4fAqV6yVqBsWhuCkybWFn247ke2SPELMNIB32QypeSDl8FeXlHGwb4WP+MkuhZ/+b+ZBptRYjm32EefbbMyCNAfuTvi3PyQ557tcMU2ReBnU0sLABb/6BiIS2duLYOXL5DxL7g2EbB+c8Moa2evM9bOwJ4xdw50VWbyQnerLIjMtjiRBi2LoflKJXhexLHziv/1sSYD6ZFN0Cq65tMVpFwDXfoeowfnxW+jS27qZuT2V6k2pZS6L9enJMZNegqSmH/2ji5/fneNo+c0qAiMJhIefSFQSeFoyHKwOQbyvLYD0NkFl74nrUvPW2zK2pknbkbY3Ka/x0iBsMXqsdZMWMvcZbB/KTCPsDYFZkR6LjZMWV521RKX7r1IpQ46UHWqeoAvfMLY4KUbHRX12KUgcXyZKIOb0Ss0Y/w1SZ20ym09BiwDW4yxdpZIGQW3KSSKHGVwPeJvp2Ae8btLd+lY3NMh7dDw259ocvZiAEqn1qBM5Ykd8b3z5+XvPsJSYi0TjQOdsibNGg/KPZpZCl/m97wZQiqSWLN1bsj3va3Dz3/QpxW5gMBaydAoZxsm2eewLjVNuSS1rK+L4FOlV6G15MytssxmFoBKWzC4LZ271DK0OYO/eMCZ4cZkuCpj6MUAPo41AyLNhwSeJQyn6Q/mEHoGPdcAM4ANk26yky6VnmbWV3FFjXrc2f9E+cPlz0ugLoF7HAzjzJ0Bu2DtYkprzt5pwX0B6BKTa5MyusmliZMjpiRVMsaO80etInQQ8dHbA973Z02GxnPyRKhcnuRNxWOW2IjuziXZyCl6URbPcFVYhWXQZyl76zb1MqVS2mycmdFUdMwPvLPLoZM+H/ik0+KgSIRkYFzAKRNyBi8KsAo6LNIcdiSoU7aQLNambC6KANGRjmsjsyOJn9ReFuXfmYI9I7kRzIhR/JSwM+6olH+eOX0Wpzj6Q8GF5Qr15SqNpIoOAkktkDTrilpFoZREq6wWW4xdPSUdPracjPveI8s2jF29JcbOQU2eBSuY3JaCzHSL7vKWgarsOpiSVMnAXGJyWVQH5ro7f3SzBpdX4M+/UGNlmIHbAdyTTntrMSpPRladzC5b54SU8V3W2hnIM6twpKrPFAVF5U6fvE5cSpRRGKOJE82En/CO1/f4+P01ljoKZARGEeH0+Hh14egl9+JM7vJARVIoq0/Jgk2bsngO6NQnN3btOZcptTuVlEqZbKUbT/yMkWaJT0ces9Uhr5UxksFQ0e0rdCDQ9apiWNdMNDwCX49Ww42frHUkSflRjoNergX7moCs3PaUA6Y0IkLaEe1dWGlrg8psOE0B7mQkwMyCzGyfG11ib68Wc/tdFR55toopaW/X1JDJk9F6k7w1q8TeZc9/JDu3Lomn7JnbXoVEGW+GsOWg00qULXzxOPHQJuZlV4d8/U09PvQpH1QIQmKFYGg0Sgi3BUkWaIoC1ONyJbMGrXV2bcbsShYyyspSoZh0M15GmNs6HNkSBkxGYhlbW16UDNcw93oSuYzB9HkYOaC3ugLlC3S9KolqiqmGRKrSgJgXOR3r/cOj0mTth84j5uwikLaQKmOMLcQYe4tRYBcuSvpaWXQ6YkzK1DGRNtXVJUmSOSayJFGkc08CL+LoKckHb28w3/HdftfSDXpXgmLHhrF4YY3uLvvO6x20sdtIoqfE7Gu2Wsx2qxvpunf757hHt/3JxnrCd319l/ufDTh6QYKIAIVBMhCytImUA1oGajFyFdrS+U//n2cz0/NQZnPhnmdgzmRLthK7n2Wz393vN+WVRDg7s2Ds7P0MZ8Xlt3ZUSXFZFgkzSxgmdHoJfsWgmzWLCQ1TTffhorQqq9zoMHZ9vyi4x+VIBmgEpSVyVHdnS1d+4PP66hJzqwzwYyDPZ2SPP09y7Z2xuM7GAasYJRN0agv6fsQwMfzmnzS594mq622T2mlvKV3Xjijmr+SfNVtZyhfzOkxePhFlrK/NYBauRbHHe7l8tlxG69rNTOaoJIZYalSsec0NId//rjY//Zs+w1i6DJSRxKmrIo0ofTYH8pEudyvy6WXZ53OvRSk2SLvrLXkptZQivwDyoDO/6O2Y01I+RhYzZkm/qKOyHlnkCSNLkljixNDvR7R7CUHVoAPfUKsYJhsJYawYDAWhKEfv67PPmmBgLEAoPqQdLX5nFNiFjl2HvUv7z8v15Im0ebe3VsUE1Dy4zMb+Zro7nXGdB5cyxvNjvviYx8fvrTEMPajqXHvn7J0HtqMZ3PW8/fKy6u7rNx2XqzIzYBfSoCi+siqrMhytFU+MRBonVTKgx7GmWot5x2v63HFvnzsfU842RIKQRELTz1bR9FNmLJqztcw8Flv6bKQWYQbq9HNKUOn3y17bVJpkQC8CQZEydynYleuTo82APSaBxzFexC6WxFii2DAMLe2uoT8wDEODnmqE+GJIf3rAclsTJ4os6SVSz/NF5UqJqdcEl6Wlb3RZH2VxUdbbZW9ZlhyLTP/m+6m717n2ziehFsDWagzoqgC3TsHtexGrXcvt99c4eL7ipIlwJbEi096C0gQpuwbc+XfLj4EoAf1L6JPsJKWp6sySG70Xe4uuHQ5U1KhIqZAmQRpNNNTs3RTx9a/q8sh+n1aYpl+N0+MhimwfCEnqjY+U0RZn2JJu25ddkNK5LSptaSvYPJMqacJHkE8jdkAXlEdI5CxuC4bP44J1tgwX4ksfP2vd9idJbOkPDBdXDUsdS1AHLdUqSi8j1SqJqWGMyi2c7Nivy+DjAWW65K2rTykckozdsyKlEfbOA8wC2AW4Mx+8CC5lPpjdjjD2SECZJXLKLkq6Hbkh4fc/VeV9H2tghXa+9wh7U2hvuc7nHltuC7YRX35ZpZB/a73wskxZ28pmsrS9cTP6jHS+uJKGKPGQyvADb+9x5JzH+z6uieIC5AbBUEiUyQZJpOAut7bloE51BW4RyOEvbFHNlwFdOCDL7K+JTKoUIyYyq9DmxWmj4C5fBHlQWX5v/UNZFImltUxDmTAQQ0IxQP/eZ5vMXwg5enCSl12hmJ0Y6ykcvahH2Ls8GTZbUuQYqNc6KGNjxspSpeRxZ8xezMRLve8xx0Rm4FZj8mRsz3qV7j3jNHiE50ccmZd8/O463a4HVbWWvfOa79LqIhiZ0bjWAy8t/1/ixIwyeAn0+X18NnZW71ECusyALjHSaXEpNVGU0KjHvP3WHp+5r8qR82lSwQ2oJhGCvltr3Gc0KbhtAXabgzp1S0iTP/mCkzkpWeresbdKwVrIkxLQZQFmJ2HXAXcG/LS+JO2FKEhDMLrW2NTFF+B5ir1zgm+8zXLVVSG1Rojet7nBjB4gVn102qKkZbZAldCcXy9r5cha5yTTWiVwy2LpESNLvV0jT7JxYKrE4uXEjhTlweyZc2JGttuQJVkiZeqYpEyudcwwMtzxcJ0vPFl1w8Gl5wA+xt5ZkZcSgpFgmHIQNcbkX2ZZfVEWGq+WS71dKwuZYtOtSJzuNoVMMZJESFQiMUIRDTWvvy7k9S/rc/rTHkPjdHhaCUWMZiBAmtK2VULkBnaW+lE5pWWOSlorLsiBjxAF2afAtCINPMtAt0VDtBFpKUiJCBl7PSL5Mslr14qp7KYkRLHk2JlJJmY3MR3Noq/Yt3P1XD3+jB3U/5HbcHU0gi4De1z4Zye5SK+OM7YdY+9sec+cCErLVwb6EmPnwM6AXpSNjjono/pb5en3pPQ8RkrXqSP9mHse8/mF350gsbpwTqRCCOn2ARJFWn6UwcuOz/rs/RUkMUcO65rSU1ukw/P0PdnUq7QYSxSOSq7JpfPGhdHEscH3E37su9scPKO551GJ8UUKWfcFIqPoF9yYnvQMqeto8twLT1fb7POmhJXpcJFeACaXrCKvU5EZGwv39wpiHOu4Tw9ief5g+SIYXwWtddne5Zah09fsHkx8ZuvErlX1zjdv6Hp2/uhkw3y/FBEi3fwpW61kulSNd22Uq/zGB2MW1l4pWZOXuZaCRVVo6qIysGwBlhI5pYAyL6h6EXCXpYoeSei4Xsszy4Jf+OAE9z9ZdxXy0rWjIT20FFQlBJJ0kyu7tnZ75J42QOdDckaHEWU171KNNUyXdH3xWpQu+rGsbpkMSnMAxbjUK//MwuxMTKAtjzzjs9ov1RakYWY2RbyoOCwx6RoofSXLUqkYtyS9Ug4elRal4VL59W5L/0b+d0Xxdxj/N7OVzjKMDK1OQjfUHDh64bvueeCZg3rfzgWUhF7fcuqc5vxSnTgZDZJyLztdPorno5Kk/Ho0YznqHed/ZiS5U94WY1SayHU0d7bDwLp3VQ4s01LY9HniJ3zwExP8xV11bEXhqnSc/hZSjvRbFv2NX6JjvrSU5lSz9pyvsbfs2OsyINzz0W778Q4fk84PtClzW2uKGhUhkUaRCI3sJ7zjtX1eOObx3vdrwiAu6UqBNR5D0rKMLL+eOBPbYkugdOfdkmY3U/84NYBcsCnSABLH5lmdSL4g5ExP3mmUHU+bpNpdgrAlPNkxfZ6WAowc5vT4RLFlftWyPLQY5S5w/YsfVUSJYLYRcfmmGJtAHJfijTGgjsuN9QLItRKlPHl0XIcXmrtIzdsRqVIUV5nU9x4DuDIpgDOQl8GdIEu1J3c+GvC7n64zSNIp+CKzBtOspbAj2nvd1PyaYHrcMVpHqrwI+9k0uMu85zUZTeyaElorS5lNWXJWhHKFWTItzpKGxGgCz/Ddb+ny4NM+dz7p7MLMG0cKjNUMjWtHy4tIxq3DFKm5lBJuIzIrxkCeNT2IzB4k/zP5+MFMnqSZ0BFTIq9hKQ0wsmUyKVVCjpwLgZSKzXMRb7lmhS0bJWFo0YePNEis4LwX0V9O2LJBuqHqsijqzxaNfE5gOZDM9DNrQZ8DusTc5eW00N7FRkZyZInOmgtMAfQRHW5GPfBx9pZJEWDqiN4Q3vM7Exw7G2B1sVvyiPbOJNIIsMcAzTpgziEsRvH8JQT5+IyZ0YxmufiqrMfX1qYYmVYcyjKLK0RiEEIjQ8MlWyN+8ntaPPjvAzqD9MsYmX+uBM0gcxWylKMpQG4lYFJQW3KHRaUBpZXk26RakenwNIUv0kaIEhFkWl3akmVoSz8XdhToaWNGVsyWH16KqWezgWTzXJXrd1eYmRBEMeg337IFpRTdboeVlWV6A0HFd/tJlkV/uQFhBNjjYKYEcrnOz8uPJTkiRLZzQFmimJIPXupLTNk8Z+4R16S0O2/qeWsdESfwax9t8OSBivO8ZcbchXPiiVFZosQoa4sy2MeY271RaqZ+Eb5ew+RjzknRAEFRzGRdMdOaakPhGDwPOo10IE8kRqT3JJUqxnD95RE/9I0t/sefTBImKYtDHhUmKIYm0+Jprr0E8lyiiFKWU7gNem2ZzSUIk/nhTpqU2TqTKWVGzzFjR12pEaCnBog0rooxY3W3XY0k8CX9geDo2VkutBskSYL+rm9/HdVqg0MHn+UvPnEH/bCZ74SQ884I6LJgZu2ynUsYaUfYel25Mqa5xZgsKfT36P6MBXsnhS4vJ3VG7mlgWUn4/MMBH/hog1bfcx5g6nmTNuk656TIWpZLecs6vBjNts4MwpGwTOSvx/XiOGuvwfsI0C3lBFDB2ulU2EySlJNAwtmIiVRIa1y9SqxoVgzf+84ejz8fcMdDCmpxytTpJ5SC2EgGZDFFAXKLAxW5bek87zRWdWW9mYQxGTgL+eJ6AV4E6OMytyRJbP7nXKlAauW7/Exm7gkX1AeeZLHVY991V3PVVVfT63bRF5Z9GpHPsXOSI2diNs0aTDpHOvuluRdcKl8tTzAazeyVNiD6EsAufjYmS0qSpJApxQ67DuDJqN8tnRUo833VXWApZYzUMQdOaP7XR5ocWfLdlZv63e5RFuxdcoNGQL6ePBmRJmPTml5ccheydswJYEx3F25BqSx13CO36xRiWZNvKisyqSIsQmpkZNkzHfPPvqnDiXnN4bMCq8sCS4D0SFKQMwZy0sBQ5dIr9bshZXGRB5qZMbFGf78I0IVI17fsz5SkSxnkWaziJI0tEq3CzYO/bJvlil2SnZs0g75CD0ONH7nto6NIjXa0C1yKXJXsv5I2Lzsg2eu89oT1gF1cAOMavLyJkUplSMHkJd2tTPp6PJlTAF2pBClj/CBmviV4z/ubfPyLNayninR8Kk3WY++i7nttSr4M7vWSOmVGLwnFEcCPsPYY2LP31taklHV4BuhyAJp1/jgGlyJ7ngafiSHG4EnnqrSGkh/9JcWFVQFBmW4FFp0zeRnk1rjA0aaa3BrnqFiTypfcTUnH/eUy48VlSeafj8Q0lpJmL/6MTN2bomnaveeOgyWxbuOxqqeoeAoba2S1omjUK/OTDf25yy7ZkO+CoNOB8Vple8FnDb2jo9HKqXOZtY3lO+OOetgjtSNrEjZ21CFRhTWY152UKgaVHM1UytQ1cc9drUmI4ZMPVPn8o7W01kTlsmSUvYtdg8vzBsvssqYstqTFKf1snLlz8K+XeivXopQBTcbcogjcylNVUwelrMcTkyV+Sql9KzFWpe+553GsEVbyhpsGvPUVPXwRO9vMZPcIbIy1ltjCwMDQCCIDkREkFuJ8SD/E2QBM49zFYivCdLcKW3o/DZCzP1NsXWjzuxn/WZL9DlcO636nTX+WlsjGljg29PsxoZml3fc+Z2VlPko06n/+z1/hda979aqn5aoUybf1Oos0qtJta51t+6FNPpI4b/rNtpUbG+cgxph+xOqTpWrAbNCNKi6OkTLYESvQjoC7zNzljnidglvrmEQaPnFvlf//b01wfD5ImxiKhI6rOREEEirSDbIvLuZy0ilLPGXtamlRj8i+s3vt3pfk26qI0SH9zsaSaxJlQo6+Lk8bGK+yLMu+cveTcxKybUNY82eLDGD63FimmwlXXBpz+qLi8CmNySNCSsuScA7ISHwx/mfGr+Txi3x0ntbI43j9zTpJoXLwna9uY4SR/TiOY7Zt30WtPvH/O3z42MM33fwKt0ePEiFSQODFNGuGWjWbJ8IIO4t0+S5nz0Y3/aTYgAiba+yy3i4ndTInxf18bA/0TKaowjWRJSmSgVuWAsrMEvS8hOOLkg98rM7BowE0VC5J8sSOlLk0yfssGXOKxpm7fM8t1PHs39rzXbwuXJT1kj3upJqxhE/homSly+PpeylcL6IUNvfGRcbsaT2Bq/9QCOu88WhouXxPxHe/o8Ojz/qcWJDFFzaZHncyJJaCQRYPpCPcrLG5i2JLujyvUSnr70xilPR5vs1Ndl1lx1pmOZiyK1f0ecpcwmTTBzJ2B2xMpzek2xswDEMg3YRq7959eH6FWhBjB0fQOilYZCSoHHdH1m76WfjFmR4fBfZIcFn2v8eALfLgMtPjhqJwqiRLsvdExt4Jyx3Br/xBk7ufrBRVgjmwC2niS8bGIBcXqhJlFlxrC64H/HEL/Cu9lbvrR6oKbVm+ZPvQOECZdDagFSXwlzKdUljXYGBsCm6nx4VQ7jIShqRneO11Q/7Fu9v87O9IVrINgrNa6XSbTWs0cRpYWFlCmnFALvR5WohlimCzrL9tKWgsF+RlSUUD+ZTakaBT2HyshJTOL5fCSRgpLCIGIRIEgg0bt3LllVfS7fYLgM/MbmR6ZtMdy2c++wtbN/Kj/UGIMYVPOMrCY74ldvR1ylRrbcNxcGcXzWhA6X5mRsBeliXuZyW/WxbZSqViBsLymx9r8P6PNugkXpqtHNXdbnZf4ZyMFFVlBzVj8xEbtMTU64LZIoQsXn4FSB/vri+7KGtqOUp2YXnjVlka+ZYxt5ECYaQ7ntZijE3ZXCGEITEKYkvDi/j+d3a4sKT41T9o0h9xVMZALl1MgBB5r4CV1m0mm8oba9KxEilrZ9ZhHhbaAugFkxc9mGYdMhl5bUaz6dktii3aq/D84YVf+Mffse+OM2fPlwG+mUMP//teMxDH7WQMNiZOIN+iTZTLZNcCuthMyH2D4gMVYCZj7Jzp7RqpIoUpMXcxbNKVx5oSuJ33nYM7tQTRhhcO+/zRHTXakQZfARmwM99bIkilSX4vKhyzNrl1M5Wl94rvu/Z9Sn/nK0F6nq4vFxPlFmEWWDrrrLgICmclGxQkpHRgTkHu7EuJEcbZakalzO6sQ2kscWRoVGK+9Q1dPveQz1OHXNYxLQdMmVqkLK2IM52e/4w0y5kyeApqSVptmK445arTDOi5U0KRhs/rv+3oMZdjxzo//unxGUQWhebpIyvH3/Id7+l95g9+sgA4wNyud6F1lfjEPayuPoqvZX4wx3eULcoX7cgvKu9Lvv7F4H5eliFyXKpIM8bghXsiRSlLKUdrvbWX8Mwxjx/6+SmePRxgPVnIkpzBZckWtPkgn/GdGtazBteTKSOJHUHpVXEWviK5sk7AtNYqLJwUY21a7+EkSQZqmWY0pXCuibAgrMXYDPhuQpYwDuAJ1p2r0HLtpRG//qOrfP9/ETx7JA1OZPZhRLGcZExOWqsuBB52hK1VCurCB09twzRBkx/bjM3TXyFFRqjlY7e2qSYnD1GscMNhwutv2cs73voaur0BawAu9AaEXyOxDYwB3zcjx744dXYkgM5DJjH6gXLA58AukjpFTbhFlCSKSOWIWEd35963KmpMZJrQ0Z6hYyW/8bE6T+0PSFSJtUVRbwKpLVhuZhCMsHeZKcbnDq4ZCzG2jOarXBnVXwLhdgzYZYTbcp/myPslC3G8Zty6ud3GZGOu3WRak+lxnBYXqZQSQiGMJcGgheX6K4b807d3+bH/4dGJBXgUNJsxNgKMIhGCMJuZYgSedJRshaXoBHJDg7IA2qSaOWPwDORl7zs/rvnhWwf0ecFVRsDuB7NTVXZvm6Xd7eXHtQC49JGycsTza0drtdoeYXsg5MhJKOvr8duoSzTG8iPBZkmWlNl7DXNnEmUdcIsEJWKUSNBeQs/ABz5e5yOfrzPMwCzL7O38OJkSUxFYrrPPTpm9YQzgJeYoPx87CeOU8KVu6zsp7tW4Ds+CsHFGL0sWB+5CqgjrtLiRBmGlK0W11j03FkHK5onFF5Zven2P/Sc1H/hYg26EO2CpDs8fsYAmMQ7kefAr00yjsXlM49yTovzBloPMMZCX+mrWHrkSwMtj8ayFxBgmGg2ajdrRWtU7EkY5rPMNzJmc3kr74p2fm5ysfHjTpjq1Si/dENVJhGIH4NL+kqXO9XICpkizF152Adixn2dVgOOypBRIjoM7d1B0TCeE9/9Fnf/y/iYXl7y8trtIx2d3USR1xNps5ZqZLSVHRTIG9vLr0vsl7OeM/2VvY4VW+XsjL9OB8CMVhS+S+EGseS+vIS914xujXBIoHzvhJipsmjH8xPe0+Cdv79AIYpdpsQmYBGyRCMImYF3CJbQwtC4RFFmIrCC2gthmyZ1sQ63U1rOlRJBZm/yJ03tkIMzuiZvZExn3mP2ZMIGlrqUyMYdXbX74Q3/+wOd279y2lsHBNW0qXf3UYjR8m9Rcl21bkYEvkxqkQUgR3YuxdHN51tyoX17W26Lsfee/w4x43s4CdPo7A3fWXykrlr/4VI2f++0m88ueCyrluO52DJ6B2xNFAidjmRHPG17E+xYj4C0vowWwxZcj7C/L5uVhS2WpAuPMXRqSaSxGkrJ1Kk1SYAtbeOJCyNyFyOxDQSpVrNPXUWjZPJXwE9/bZqkt+fDtDaikS4exhU8uM8pVGCMJhQs2fVOk6XNfXGSMLjDYYl+ftB4lg9R6x6L8vEwo2QiP2IAOFLV68lS1UvtUYvoj/44qv/iF//6HzGzedurAcf9mm4gbAo/S/u3FlKgyK5dtw1H2K9qn8irEbICPKNWXiILJZSljOQLukSRP2p1TMRw5q/n5D0zw5IEg3eKvXAJbrvUWeNKVXGQdO9ne7uu1o403Org92cf2DBp5XWyWlXm1+WZaYr3tXShVY5YylnJUKgkh8oTSSB9oFsfI0nuMO1vkPjNk8nks+M/+Tr6cp0gzlokJQ7ViefAZj+WVtAGzrM1K0ix7w+SrzmiEXQ7Gbfoqc+iKuKK4l0dlxFYQm+Ke2OLvagEVz3LFDo+vu9G7vdc68mv//Pu/dwTgIwwOsGPrVSAEw+EBhtEFalWb7l3jqvUEtlj2suUtWw7XKbhYw94j+tuU9PeoPBGZNBGmFFCmssU3HD2n+Y+/PskXH69AZbzGpCxPnOedjYHQcq3WHndN1uhxWVhVa2QK2aAfUTrV6zkuhUU21hbM/wAAMGdJREFU7pJkMCjvhbNmpFupf7FsD2buiEgDzPWKsgQOGMLINEkkEQaEMM4rT5V/IpSbtQ0kg5jbXjrgZ36oxU/9+gTHzvtuCYR0cn36JWVxzi2SuDjzIzl1SzqRNnVm3LEojXEumeWWYuioA3gqddI/4kl3yrWEhjZsnKqxcW4vxhjGb2sA/sY3vAYpVXjw6YuI4WkqQUjFD/F1hFRux01jJLFx+zYmwrogBncwi29eznKO+t9CmKLCMAd3kgNajLgnSRFsyhjlGU5c1Pyn/zXBR+6oEYq0Ioxyf2UB7vHAstzIMFriOwpI1gFnDuDSnxkJfvgSt/IPx3ggw4FgrRZ3j6WS2ex1qU6cDPQjmc2iEUIaB2EjiuSPsxUzwBdRbOawYCQVbXjX1/VIDPzUr01w8mLqrGQgz3ozpSh9lxLI86A0+5lIW+JyLKe9menhyWMKB+jYCkIDA+MeTXqglICacheBElBtbuSmW24L4zj58gCfmppGec1/f+mlG64cLEWv9dQqgR+hZYxN63CTRDOMfKJIQ+yln1Q60z/1TIukjy2V0ZZS8enzEc29LriTXJponXBywePHfnWCj95ZI8z2FVyXudOMJaXhmRmoWet5j3cj5ZWC42AXJeuK0T8zmu35q93GcT2S0WQ8be9+aba3T8bgo40RFPp7RIeXQS6zbc6cMsEiUhYHV2ToqYRvfWMfreDHf3WSkwt+IVdykIsxJhdE1m1K5TqPilLkMvll31WWv3sOcAfqbiIYJBYbR5CE+NIQWcmy9GgPFNKvM7d19127d27790sr7S8PcO1PEK38fntq0h5M6Lx6Yaml5i9YlrqS54953HLVkE2TEY2qwZpqOqNa5kuMsLYABWPsnSd4SjUmYhTccoy5s3S81IZzy4qf+LUJPnpHjTDbVzAvoMrEaWYLpuwtR7t01mPvDMzlSj74/9r78ig5rvrc7y5V1XvPohlJI402a7MkWwbZWN63GMUEEpNgkseDkJNATCAkkAQH8iCYkAAmhCWEPQZikpMYs/jYwAObxbaMbdkGIjBetFibtY5mn+7pruXe98e9t+pWdY00si3LJu+e06e7uqu6q6u++tV3v9+WpSJpQGcnmMmpze9Kdzx0ZyeYWV08eVNP1OLYE+3hNLfwLNhjq66buApjyU3GkdLJY6eQMCFfKmYlhASHwKuumEYYEfz1J+s4NIpk9pZryRlAlFLSJsalb+mAIIrvI8mlsO2C+cuhBNpCgoQt9JUnMLe7ifPW+PjlLgdHJx0MjXkI/L6IcGy74fO3Tb7z2t86PsDViZVotcbfvOdw7ZwP3xSe9c0HagDx0PYJOPHxyvNH8P4/bKBectHySXzl2bfedBEgYVEVA+x8cGelQKoVk5AT/OvtFXztjhJ8RnXiQjY7J1/ztj2WWd6dLW9hQJxXHiI1x8qhMEkTU3Ki+E57MzucOjKlnqQmZnoypuiN3X4kqVKbteQJF1cXBIyyojXySH8xUaVtQSKAI8I1L21i226OG75UVTSkA+S2JVcgF5LA1//PqFMRAEgCu3qafbyMwgIAIhBYWJvC+//oCF5xXgiAo+37ICTEt7e4uHVL/y/GJyfeXK/Wco9tLsB5/ffx8S99MfL9C+V3tmyFFAQepygUgFYbuPOnHJtesh+bNpj61EoqMglFiTtfpm/5WllRIJ+BltAo/oyRSPF+TnDnfUXcfGcJ7VwZ0HpAtSI3E8u0x1IpBYykrbehLFnQ2g4fJPju8LLZBL0jTHY24LZWTNEUZFz1sEFvLgK71IRx9uiLUqrIO2FJh7aOnoCeqm30NyufTlyJEERbaDcS+N0rm3j4cY477i/GkYRpkCNjyZW6EkkghEozsw0CgYzrfhIo+2R+15MEHpc4f900Lj+LI/C70GxzUKKEj1dsjHDuhqVSyMnorLN/f/YAB4DzN1yFRrN18/rlh1YOHT5c9ngERhTxl6yAkfFuHB2jEMKJLYgJmlLnKwPyFC1JQN7BuU1AFQlBnQiUA9+6t4jrPlnHY7s8nTB8DIBrauKmqInM8VbKDlB3eDCRvI6pS4a3pFz3GVAfF9wZN2YnPSGJBg57YpnRxIVZNWvB7YAsG9AABI33W2hqJQjVerg6l0I/E83JGQmxblmAj75tAu+gwHd+XAJYiLjGcoqu2H+OqHBbABAqO54gHeoCpMMmHKrOYdmV6CqXsO9QBZQUlbufSjg8Qr2rt7Fm/UtvZrwI4C25x5hhhvGFz/wTLr7kip8unV/7o0P7d9frZYJ6CeitECyfz7FiQQmcuSrs0kQdxuc/Xf6BpAr42N5M48G0KYlQ4OYRqAPctrmId32qhkd3F9Q/Np5KmqEmOlKQUmW5TdsRbuJODOBjrTurQXeWSiMUObq13crcJM3az0n/dqOBm/cSXdy60Gj2wrMzeWB9D6wk76TaU6rTG0Gskcfz3eycIjNpTi5US8G2t9eaXnwnE0B/T4T1q0LsO0yxbRfrnFzHE5X0vS8mL6ljmPxXU4+GU8BlEmVXorsIFFgJjNYQBB4a0w6m2xxT0xz1/o2HJsYmXzdn3rnBTDie0YIDwIXnrsH4+ASeePS/0Ww24boUxQJDV5Wj0QLGJtuoVwLANQdQhWAml40ieYnVti25stwkx5FDWQTCFbj/5lM1/PJJG9yZ7BxbNaEJNWHojBBMnCYyl5Lkcevcc2aDw7yfPXiGtx9vyIwlh2WtzbJFT+Ji+fF6tjVPNHHViTjr9TRRhiLFzc37RgM3F4OatTIQoXmz2aMAWLckwAfeMgEpgW/fWwKQY8llFuAEEVGTRypNZSytqsSRpspf4XDlxKmXgJLLcGiYoeVTlAoSLotQLNVQrK5GsZTPvc2gx/pwwcC8tuuwN61aOdioVRi6ay56ag66KkDBjSAlEEZE91HXzh/tpbLd2dkJZloiNPHcEShRz4QD37mviHf9Sw2/NLQkx/2efg0r1kRmYr21dxVpGpKlJKkJZAbsMcjj53Tig7kCsuvMAt8xiO3lGNgpUm765KR7WSYcnVjxKtm4FRObkizHza10rIpKUk6WE0ceVVGJgsWPyKc4Y0mAG946gasuaKpYFaHjVkzsigiTZUQAZKxxC636JLqKZXz0XZYzdbdq+wLjUyFGxiOMjAMjkxReeWEjkvRNXT397WMd32Na8ImJCbFkyZKHGKcTw0NPlYuuRKkgUSoIFFyVMExgOxzSJ1RRFQvUsYs+iuO7afw6BGUCkhN894EC3vGJOh7bnQNunXKWUk100m/SS96SA5HVuzMJvPEFmLHcZhKUugBICvjmXxIk63ZY8yxBN1jNAXoqRFZ2rp+dTKaSdCUsLm4kRO0rjK07SSREU+NQezJV+QU94ZRSl3UzrhgTgwKYKEcAgA+sWRzgH/9sAlIS3Hl/ARFIYjbNHQd6W6qaGIZEGXsu08chc1NUBlRXjW00Qwgh4QcUtbKH9S+6YGJgYPChqcmJTvelNY5pwfv65qBerx3lJHrVxrPXBvWyj3pZoFIUKHgRXK6KYZq46URUMPHfBgyae+tJJSEWuElkgRv44cMe/uJjNTy2x8233MhKgorPcYJ8p46x3jNNIvPeT4G88734hOS890xHB/AtdHc4OJE4dpIYcduym8+SiMS4U0TKytNUCQoR35GNVWeJJdevI2PNfYI1iwN87O3juPScFpgIM5Y8syxFUkpCJi55mQG7SSgOQqDlA82WwGQzwtDoNBYuWRU0p/1XlSvVo93dc455PI8JcMdxMXJ0LwYXDe5fteq0J+f3F1EuBqiUQpS8EK6jgq9iQGsuZS5B2zVPqO3ISfIqKQ21FAh8/0EPb/1IF7btKaj2d3lyIE3r3UYSdEha604iBW0pUOZSEAPkNNA7y65lgQ/7dbxyJyE/rpqSg+wkmo7k8G0S8/GslCgkUkAXAgmwzbYwFt6sk4TUqjgQqkFv05QE2AbkJsxW+BQrBwP8y1+N44qXtMCi0KIsFk2REQABKSVCKKMe76/1/+I4FKEau077Eo2WxORUCMoqWLJk+ZMLFy7av2PnHjiuc8xje0yAAwClFLu3P7BHROEbFwwuR9FroVIMUC6E8NwIji6KmZSLgBUOa2XsWLq37cjhbgQ4wA8eKuBtH+3Ctr063SwX3E4K3NBA5kgcOqqMmEypEnlSYCoOxQa9hcjsBDQL8k7wytR66vOZ4S07XuhF69beydEJjNtYQtMSa50Y3EgD3bb2Qtggp/G8SQKai1vx5XYLcQvYUjJEMuHk0qdYuTDAx/9iHJe9ZBo0DFXgtjRx5Maai9iKBzl83AA9kkAQEbRDgmYbaLSAiUaINWtWIQjDN975w/v2UHpc+B6bgwNAd+8g/HYTjls8eHAP2cyCn11UdEZACMN0myGM7B+RseW2M3Zsqx3Hc9MQjhdi7wjF/VuLuP7zVWzbkwduWwZMg9vwbm5Z7LQFl7lAThw7spOSZK27QTGxOXZnZn3KgCc3sXjMxorHlpzYqokGLrGXEw4Oklh0qYlrauJJdEIyga7tZ7nwqeHuRHd6UAeH6Kx8FWSuwpyNymK4uIokVwfB7DsNgVWLfHzi7eO4/vMSW7YWsHfYVXHKegKsLLqiRSYxQpj/krmgQwmEEdAIGMIwwtJ5XVi7ZvXmq156/sFGYxqVSum4AD/+JQDA9UqYHNq8o14r/nP/gtPQjo4CbByOE6Zuf4ARg2zrbUmAxCQrhHAKIbYf4Pi7T9fxZ//YhSf2epCuVbPbzqU0yzngjt3xyORXWrzbnmhmOXWeNEhy15UdFj4h6RkYp6WUY8K7w9mTA/y85XQJiRyvp82xQTrWT3NwElOSdCi0bjor6QyWXCsqgiGKOETEINoMqxeF+OQ7xvCet4xjxYI20A41sHV5OBnGVjxEYsXNBU4MvQTQighaaMMnEzjzRavBi7V/vuU7D+2YDbiBWVhwM6rdiwFef2jPkfFbb3346NViehcuWluA53At+UkdX2BAIaxkBV2YR9cucQohdhxkeN/navj690toCa4nlFl9O6OWWLSks2CmcsOnXO/xvuSEw1qTYLsWSpZ/JBdBJ7FOsE1wXBN9AiM1mezQsmVi0ZEJ0rKsudAu8LTVN659m++qCNFYZdEF9VUBFPWssvUpCNU1IjI5mlQAghhKRSCDCHO7I7z2qiY8B3jfp+vYeYAABZLErIBCEopAEIQk+V/GuDhMglKCcgl40Rof571oEHMWnXbr/AWrHmq3Rmd9LGcNcOIsxrfuPbynf95lf95q7WbTY+ErnnzKx0BfhErRB2fqVkViKTA9mWQsBKcBXDfEzgMc13+uhq//oIwWYaqN34ygzuHcFh2xJcG4mZOteSPHMtsWOvM5AUlFFMaePqCTk2cpSrzdLNEu06vGvkRzy7aA3AH89NmxKImW8WwKYoNZkvg747hxDXpIQIDEkYoxnQHR9IdCCgFhAkbiKlbKSxsfCUnhtwg8J8KrLm8CQuL6z9Xx5EFPOwWJOp+CIQSHT4FCfPdSBsthQLkI9HURrJg3FysWLLn9xRs3/Dmwdy8hy2cN8FlRFDNefuFc0NGH9v6vV7zokTXLBzDdAlq+6tMImI62uhuDLkrP4y4LPtxiiN1HGd772Tq+9v0KWoQD3LHoCLcmkvm0xCEq5t5BRjWZyeVtKyQxiM1cweLR9rL1XkolMQDMgjxr3E/QmieKSaf+bV6kPjdpWx1xKZnALCTbdFAay6qLDtkwkQ7jyrQmgdlIiLGKwmLaYqiKkhAdBD6HJwhe/WvTuP5NY1jc7wPtQCUu64eUkUoqlqZCrjp4jKkGeJwIMGcAxa6Nj/z8v584IXADJ2DBzZg7bz765w7ccOjAnmWHnxr9XcgRxE1aqUxqdNMQnAXgzIfj+BAkwn2/cPCZb1Rxyw8qSSZOdjIZAzrp55j2UpqHDe6c+O4Y0DMoKglWO0DdoarkUJZ8FcUC+Yke2EQcscCZTgOU9uc2SI1b3trYDpmVJKE4sRWXlkeUpL2hRl4EJaBQvTi1J0gdT02BTFAWdI1wVXfQXCBCFekMKDgP8erLpwFB8OlvVPCzJ4poh/pEEoqQULQEgSckPKOsCEAIgVq9F/MGFt58+tp1NxzYv/9Ej+qJWXAAGBwcxEMP/HC8b+6iP6xWvXs9l8BxVMli7oRx62zOVfsQx/HhkwBf/k4BV183Bzd/vwqfOYBj+lOah2NNJrXl1oFOjjWhVM4cGdcRjL2VSE8EcyXADC2hHe+lkxVmdP7YVwfS320DdjZsJVZOZpxNZi18MqHPcwqlvZ6J1p030cy69BMPKElZ+ERIsKy47rAcxU4fmkw4BUcYcYSRg1A48EMHNHTw6stbuO2GYbz+ZZMokzYQtgHRhhQhWpHEdETgRwR+CPghICUD5e69y5ct/sM77rhzfMHCwRMG+AlbcAC48OIr8dSerc25vS/19z7xVXh0FEUvhOcEcHkAx/Hhch+FYhstEeLfvlXGuz9fx1jDU4kKmQZQKgg4ThePQWQCpjgS72QyocyUPCZpipLlxdmUtKwFz7Xq9rJGfIaaW5NPkvrcwnk+sDW/tj+3pUFNxS3LrpMd9HKHy96aqNkSITLLxpFCUpZbxl2K4+JCxpIrGw5AWVWiy6+pY0a1uGBaBqp8TklVLUQhVYtxxigglFOvtxLig28aB6cS/3Z7DY2WmnxGKKBBHLAAIKAQMsK8/jp+++rf8KfatLlp06anA9WnB3AA6J+7FJDiQR6tO681srfIWQuUhnCdAJ7rw3Pb2DUU4bbNZXzwy90K3E66fYjtbgeSfi0U1gTSANhKVKDQtAT2ZDHHeqeoyswWOXeyiM51Uhb5WJY513TPvIFtoePlzOsUn+5QUDRSiU1T1Iop+mGBPFFULEutlaXkglG/KUBBiZL1iEmmMHKwlHEnNOPRFlKtr3rWKw1dEArKlGe0XgzxvjdMwOMCt2+uYsdRAJLAJwTjYGiHFLWSg7NfsmF69cplD87GofOsA9wt1CDCyf/Tu/AKeaCx9e2txn8XersoOA9QLExjy2ME77uxG3f/vIK28ADX0eDuLKdGLFDHzxrUBrA2mA24OxIVjgViDZe8SWVsibOTTiBx6thQzYA8Nam0uPQJjex2Fihtq518TrTltC4Ek9FDtIW2JMXslROvn2PFzYVkJ8ULQUFVxU9IkxNqrLYEQCz/h4SuRa5LgwgBQVX3ZcEYhOCoFQL8/bUNvPT8Nq6/McKWX6ofDoSHYsHHi89c03rNKy/+OGHuu7vrs9O888bTvzQAUF4Vh44MfyAo/dbI0PRyOCxCqdDClscI/voz3bjjoS60oxLAiwArAtwDYS4o4+CMwmNAgQJFKlGiQFG3E/GoqpNnkhVMwoIJis/Skphrm0eqGi5SFwOQLx/atKQDsBnQZ97u2OaEsC2PtwLptO6xKz75PB0zbnFuWLw6dslneDeQWgbSKkvCw00NHJo4gjQPN3EqSkmhiCKGMGIIQsXFg9BBELrwAxd+4KHlF0CJhyvPDvHhPxnBeWvHAb8F4oe4amO3f/mL6x/+/j13Xd9TL4njHaFjjadtwc2o969pt1vt68KJ+1Y+NXzw3bfcJeg376nhZzvLQMEDmAdQrpp1UqI9jjKmH3FsdpzilgETsawuErDG9QIhUxY764FMTSRnsvQzPVsBV9m47zzrnb0ATtSK27TDtuQdrvuslUcnTZFSxGXRUm0ISfrOIK07gV1cSF868Xdk95NIos6N7X6Eff5k/EyEXV2YgVIJHqlc3jBk2Hi6j0++bQL/9aMA33roNDHQP/h3F53R/dEn9k76zxSfJ3ojzR27t/0H+roLa7/74/1bX//en7Cppq4TyF1lqSlJ94C3yoV1UNqsJczsYQfIbYtO04FWTFt+ldqlOXw2VS2+O5Ck6Wuc+UM6S7XZ71PTaVddDHFzKv2aUGJtmy7vlkqb60ihk+n37H23mvEm68rkv9PkPWb8EqneR6ZpmOLIzPrcbkSQlI4WKX7dqfHnVxuOzxeRqdeEmM7VSk7mPITLfXhuhOFx4Me7fzs60ly53uONX77xd1/5jLH5jC04AARkJUpzqtsL1YE3v/pllc/c9K0tNCQuipyhzCQKTCjJ07KO8ji3ZntSlQW4fVV08O34YHby6bTrPV8tyZP+shGFnWYh3eH4eBr5jP+TzG49e6IZ/5Lh0Ja1NvW2ba6tvkPp34TIFE3pnGBa4DU6e3a/4qhHkt7R+ABk/5jUxkdXKxaqgngkCMo9m8RFvWe++cnRxdt7i0OzOHrHH88KwFesOAc/2brDf9nlG2+89e4nSssW9n9s91MjqDsUFS5UaLc52EgC3LPHIzlodpxw5zpZ/hurHFn6AfNadtIU2M+kE9DmlpsFPumMJEydz9yFYw8pkbKCnXKhogNqPe38yTp9SHqbGPS2I4hkaYr6LL0fCWWJSUe8gxLp+UBGT8+eUIKYT9n6OqALn0YRhKCA9OHUBuA4+MuJeRfduKa4PeruO/vZgOazA3AA2LB+OR7deTB6359evfOr3/vZ5CdvurMqG+OoFwi4Ll6p2t6pQHZTPbQD4PoECD2zV0HxpJObmpVnsJZpUCbPthU+3gSzQwvP8KkMHc/fkRMYiTauwYQEWzYwSR6gbSePFV8ipUxdKAmPNxsQ63dl/LvWNdJxjI0UmYBWu9hzrLztPIqipFEtIRKcCUSugOv1w6n/1qTXddHO+e2nIqdv5TOFYzyeNYADQHethEOjjdt/Z9OGt7gk/Phtt/2gZ7oxBtdhkKaoeQSQiCCKVLBPjAvLGpnOYZEEpDC32eQIp3CeAX1s3TOgtGsNdkQOZi8EZIGfph2xZSMzXFjHfCMZtuXOXS3l6Mk8x5aZxBKfqfwb0xTbwhtKAnV8mdne2heT4Z7dfZKzf+p77NiURJmxj5X57UhQ+CFFEKgcAlWDM0R3vY75cy4dKfec9zYRjt0uWfezhkfgWQb4/L46AGB4ZPwrr7v6At5fFjd89867+0bHxiElQduXaPqqkr8kafCZIxKnLAmpe76YqqL27D5t6dKHvRMwndr28dUT+0vsi2bGO0YeCnBMfKdGjAubmlif5VEMkgWxtV6yMjq4efzdVpJzcueyjqmEcmvqHYsFldjyJ5Y5DpSyJB7jbJM6kMoPGJotB602RRgBxVIPlgxcNFSfd8Fft4PgK4XismcTjgCeZYCb0dtTx/jExJc2XXkBnRwf/uCWBx/sC0OJyWmJiWmJIFIHlVqqhQG5SVcKYSx8ksIUA5wg1UDUPjXm8+zkMEsjUjJgZv2O7zAc355MZuiOPdGcVeuSzEgFUiFNTeyJXkxHCCwKojk6bJDbcd8yva3Fv+2eQEDm9+Ljl+6SJyHjkFkhCMKIKqusE19iidYUeCISDhPwKTDR4BifoghC4IzBtUOLTzvvXb4ffqlcrs3mMJ3weEaOnmONeq2Gu++6+8benup1a1YNjnTVGFYs4ujrDzHWBvxIHUVGVXC7wyQ8LuE56llNTNXBVz1ddDF0TV1MQfTEsaHPSZau2NbbHPiMJU9tl5msWoQk+d4UT0+DuRPbJzLbzF+Og6VgLoC0YhFP2mNpxQ6ySnNlk+BrNreDuMz3JUbBkg6pyDykVmEUwP2AoR0wtAMOP2AIQoooUq0MXSdCudTE/uEmHt8jcGREwinOGyG8ct2WLZtvLJerJwuGJw/gAPDyl/8GKFo3DS5c8NbVKxdNblzXwO9cPoQ2QrRDXe6BSbgc8ByCgktQdAkKLuBydQDDiKAVEUxHBG3dmMiUG0h57wwmYqRDWyBpWeCM1bXUF8BYbZK25Oi8SLKv4xVxPLDnDJt2zfxxiq9kKUmcsWPez3ojc9e3jlXOD6ezoJIkFs4i3ZwsBKWqkI8fMEy3OaZbHK02Q9tn8ENl1SNJ4HABSpv4xmYf925tod49f7Kvb/5bR8caN1162a+fTAieHIqS+gHOhR913Xz6ijCcW+v+tx/9dF8hiCiqXFltlwMuJ3A5wJlytkiprOxIk2CkTdCIVEoUhW5fAQmXEH2AVaJFcmI6KYm9nMiE5JicPAZ+DOhjUBDSie8T4d4pdQ8Wj9YrJPEmikubaqyxZp3yVHZGGMacXhCAac8mkEh4M8QLJMnjOoElLpIqAYeAc4GW76DZcjDZ5HFhTM4kXKHv0ExZcs8FCGugNndN2yn3v2Ggr/r1gyPTz8gNPyv8newf+PWXvRLj+z4X1RbWvv6DHwxED2wv/DsLjhSqFQlPg7vgKgvuOgQOp+CMoFaWGPUb4K0WyLSDEC7AHYRSJUJQKlWraBspnbjrTGbInVRanNxWWZApz4Z8q0zyfv5EaLitEMWSs+LIZuKpaTZiJpKVB2MZMJEHbV+DrYcbKhMvx7vROWk3FEVZ7xCcB/CcAJKEaE0QTE0zPHWkGy2fw+HmbiwgNMApARrTAq7j4e2vGWzXFlwzWaosvi8KG9GFl/ecbPidfIADQH3wWvzVh/49mrtuwze6qjt+/9INhS8ffGpPqeBSeA5QcKmiJx5FocBQLjL0dwv83qYQlcoQvv2AwJfv7MaB0RoEL8InFC4hcMwEyhoptSNP9sNMk8sMNUnx8MxrmAtnlgU2n8FIy3iwAE90qKraIxnHk6QnoEmMSdprGWvo+h/lNhCDTU+UW91zfRwda+Om75fwzfv60cUrWD0g0FuXKBcpSgUg9HQZOL0/YcRRrq1pLl3Y9wcDK5dsBpyhuGLrSR4nlYPb4yPvfC1aT+yRFw3uv+W89QvecNaaReMOI+BMKnAXKEoljlqZo7cGzOmKUC06GOwr4Z2vb+HlG8fgyBYgwniSmfKGZieXsGf/x7DmJG3ZE06eE2gVb3js/zob0MvjvpG/kQEoZuDU8UMYydWabML2OqarSaV/n1jHSBd10hacUh//d4uDD3xpHnYf6kKzyTA8HmJ0IsBEQ2CqCTRbFNM+gR8AYURB3aXjjXD5Gz70hfItex79z0OEkOjpKE1PZ7Bn/hWzHz+64+u4+KrXQ7D6I7293QcGF8692G9PlYj0USk7KBcZqkWJWkWgXolQKfkoeiEqno8l81v45l1FTPkuCOXglKgi9/qR6nNJOjN8TPCSCYwimUAnU4PbrGsvx69NUFaG0tB4HZKhOiTzOkODsooNOcadw/rN+H3Y65j308VAc+lXvM+W/EeTZWrXc9cNChwWwXECTE37+ItPdeHQZBeqRRddnqKa3LRJMqZFCnTV61ixct3wvPlz3janx/mPgT6J9ee+9rmE3HNDUezx5mtVq4nh4bGbOOf8vvsf+NCDW+7tC4MGSh5QLEgUPQHPicCYKuglJUXJ093aslJWniGYAUCxZbaAb+hJdjkPcDbzSbOgBG3PyDBlnDkEMBGw5uNUUJSAmmDbyQmxpGgFUqmqsZl0Nticm6SoXkpcsSw7IRICEo02i/95KAA/lGj5Em5bURkhIhSKdSw//aKhNevPeWcUhTeVyl3PNdQAPIcUJTt6e7vguvSLl116wbt+7YpLh+Z0V8FoCM8RKLhC1T3kpndmhF0HlavXiNipDB9ix4fna+E2TaHHuADsddV32nx9BvSSzPMzGTlUIeurTfXoESSmI0nVKns5p9psXHsw2SauKw7rIpGdD5cBywYCSEj4AmiHBO0AaAcSbT9Cc9qH45Wx4ZwLh9acufFdkWBfPFXgBk4hwAGgWCwBUt541lkb3nH+hZeN9vb2weHKMeC5ITwnhOME4F6Ab9xTxPi0qpnCCYGr452ZSYjoyMHMlI/ATPQgXQM8vU5Gc0yZ7meG5hPdOgVy44LX7wuLS8cVY+PSxFbBzYwFz9PUVfirvgDimig6WydiqBQZfueiJmTgox1JTIcE7UCFYYSCoL+/H1dccfnohg1nv0MKcWOpVDyVEHvuKUp2FIolhEHwldPXrB8ZHzt8WqUw8OHG8Gan6LXhuT6q5Rb2H42w9ckiAhRAGUeRIebflHZ6JmNM6hczFQSy++3E1ARpcNuSoRnPEsZnN2wZT0uFeaqHoSUxaHWVNVPjhLDEupuemLRDVlTcx2TdC0ERRRKUUISUIQgdeK6LM5b6WNw3hX1jRUw6LgotCUYibLr8nKCny7tuw4tftLNUKn7bcZwT+acnZZxygAMAdxxx6MD229ef/etuMPVI0+9tf9qfvJ/UytP00EgL7/liFb/YVQOcAoqcoswkPCbhULs+igW4jOVWb6W7M3RORJOJZ1YP7+TxJ3Fkvt92zKbS1YynRw8BAEJxcmGargr9TIlKGzO8HkDSHtx8T7Js9PRIElVhNuLaUAi02h7WLA3wD9cO493/6uLgWA/6qyVx2aVnytPXrPzTi16y8ss79xzyz1y36jlGUf54XgAcAOYNrEBj9Oc+65nzlQZfepdbHbrm0FH593/7pRBf+1EPQl5EschQ5wJlR8KxLTfNJDQAHWAmxwB00hUtUUlAbCudQV2W5JthxTSdMAchyAW3eTvrsieAzpfMgBwExLQyUanvqoOxVO9TAh2hqS047Lhxk0yhSrcJISAl00nFCviUStScANdc0kSzdRA337sQ3d3L/3bN6qW39M+du+/hXx72L9m4+lTDKR7PG4ADQLn7TACY9oc+u80ZqH/oh3ed54bO8P+ZP7CNHRoBqlyiy5MocAVo0wkgHrGSIa3X1oPakp6hN4kEmOXj5kuzKsrxhgRir+PxLL79Wx3UJ+setT2e5jc0yOPoQ3MB6yquxAojJETTFWIC2WRaW7d/Sk80hY4SJIQjDBkoFeCM4OhkDVdsXB+tOX3RP1x4yRUfWjDv4eh/v/LCUwmf3PG8ArgZbt+b8P5/viV6z59d897xycP88Ue/+Zfv+ex2b//uEHUvRMEliCKCqbaKMgRyJC3YFMOSBqmliRMSg7yTgpAO4OWOLEe23lYyn5wxfPZ4lp6Q9HfFvyPT70skkfHGu0lhCLsBN9FljqF628OOUszAmyStaISgaLQchCGBywOAEAxNlbBt5ML2pRdc/U8XnNX73sO7voy5S//guYTIrMdzMU162kPKEQjRAiH8gz9+eM95n/3X71CHtM9rTo1xUIp9wxJDE1R1xWUSnCmHA6e6pgoz7egIOFMleRkj8XsmM9526KQOCEk9qdf6ysleQGYyazeCjS8cSpKLiZKMgymd5Z91xhjL23lnyb87pFQkquvIUBW1yZgKhHK4ShfjXIJToV4zoT/XEYOOkmiHx13sOViF7wPz+mthbw+5f/6yq0TgrLxfRsG7mFPGsgWVUw2VGcfzGuD2+K9bbgPnvNpsNj4/PLT/1VVnL9155CD+86464HuoFyI43Hg2ZdxnkVOAcwKHAZwDDiMJyE1pB5qviuRl/s8G4LH3M747EDBqAdz2olrP2TkDOQ7A1afpfTV3hbh0BpVg+qJnOoLT4QIul+BcqAdNwM2YgMsjVEoB2mED/3GHi/GJRTh3/aBYsXzwq9VK+Y+DIJzcsPGqUw2JWY3nJUXJG793zW9i1+49k9wpvHV89NCOCu5Z17eLXv1fdx1FEHF1MmOrl44TN8CghMTufM4s0FmSoB1Lbb4pG2+u6osnSJNI+lHaxMGUa9BLSEmNGYXG9poiY6VnkiVT+rX5aT2EPhaxI4cDiFTtFBN8pY5NUhpCTUR1uWQpMNX0Ib1VIKUlt5614dxHFi8a+ESz2ZpcsHDRqYbDrMcLBuAAsHTJYgA4KuUv3gNctXhfcy+u2bTn6h/d+xjaU+OgDgWlLNZ+BdHKAkniUBgjmrIoS05p0kwJMICRKqNfGMdHmqUmUhsSL72R8KwPpEafifiztzcvcgO+siOHlqRqCIpE47a3oQRgAhBM7Q+BRMQIhDCT0qRQEIH6niiUgIwQyjrmLTwfrxk4/dajrTPeNhlO7Onu6T/VEDjh8YKhKNnx5N5RuA5f/ovHdp452Zj680ceeeLixx57HPsOTkASDkBHKjpA0SMoesSKOSfgjGoeboW86pgOKSSEkIiEArndBSytixOLSmhXvmWZKTV3CfUwv2cCk8xFZzurrLAW2Fk1adqSOHAiQRAJUzA+bkastzcXNXSstkoJLHgCRS9CqRCi6IXgTFWObbcl2qIXg4tOw7wFK+5xvconqj0rfg4R7iC891Sf8qc1XlAW3B7LFnUDwA4p5Q4Aj7gkmH/JxtWf27zl8eXfvfvn7OhEiJKrJpYEUtVGZCqhwuFJYoWa9JHYckdCVWcFNLBhLLlCTaKTp8ENJC70+G4gEbfTNsuJ4ykn4jFrnbUzx44spFoCtburCaHa7SnAJ5TFAJwLwDQIoxRwIrUtYwLKYxyg0aqgb+HZkVddt8OhrWt7By45CGDbcxXWerLGCxbgZugTsG1sdGRbGEabKPcWXHDB2V/7yL/fU9u366lyK5hEV4XAYUSlxjkG5ArojClVwxQkIhGBIEp7jASBFBJRJONuZKAKsEnFWqIsv7HyWqBOSmEQUKGLWAJpC29Rp6TEglpJxDHaiYZtFBGlZ0vdlluB2wA8jKDvPGp/OSMQ3IoqhASnKv+V0xDdXRTVrmUNp+s3J6ZbeFWhvHQ/oWzPCx3YMT5O9Q48m0NKAYDQodGp+l0/eXIjQ/SFJ5/YFh7Yu72nOTVadR3AcygYJXBdppKbHQWYIFT9kYJQ0xIhMd2KMNmM0PYjbfHMXSDh8RrfiKKE0hhLSSlJOD+ncBhNKzpcqxyWZKhAqgojGSuspD1FMxwt90mpGoBNNCiaLcQ0JQgF/EAgDFXRTMeh8BwGztXvlAoEtTLF3P765OmrB0cGFy3hnMs30sIZDzCnNi4lBKW/OrB4wVtwexBVq0Ns3X5gdN2K+d8bHp5Y+dqPfrW99bv/+FdbHnzodYcO7g0c2l49PhkURDSNchGoFNWJb7YphseVK9DlSlpkVODIaISJpipj4TkKvDGX5gSMqoCkKIoQhhJhlFhmzrUyQ0nKWxjzaiNlMoAxZaXDCAgFQaAtcqzyQAHbcwU8V8DhAmNTDAeGGJotgHMKpgOqppoRmq0QlADFAgWtSFTKFfghbVVq5ceXL1/irD1jw1e2P/AnH1ly2kc87tVbUo4IQuqn+hQ+6+NXCuBmrF8xAKj5VnPXrj3gnH+YMfbhs1+8mlUr5U8fPjq9cmToqQuL7ACrFCZQcAPsO+Tj8d1FcOZhThdDX7dAV7WBI1MtbN1dwUCX4gycaatKAddh8FylSrTHIzRbApHQoOVGGzeqhZHlrMkfUd/ncqVNc66qrLbbQGOaQAjAc5W06UFp2QVXoFIKMK+niR89IrF1ZxldJY45XQ5qZYZKMcAT+6YxMsFRK3HML5awdOnCaOWKJff6obutNd14M6UicpwCVp3/BelVB5un+nydzPErCXB7LF26GEiMZzg2Nv7Hq9YWuluNox84uPu7rmxvj7rrlRcHPNgwtKWFAmmhv9tBbz3C4vmT8B5tY/94GZUCgaNVGUBZTHW7J+it+zgwPIntB1wQQVEpAp5U3D6iUtUBNAnSJmxAqxucSbiOQMETqBRDSPj46XaCg0dc9FQZqmXVDUNKdeEUvAjVso/5c8bQCAi2HfSwtFcBf8EchoULJfY25sHfV/gJkdM/XbRkMXv5Kzb5A/Pm/E2z1R6tVU9OBann6/iVB3h2dHXVAWAUwJ8AwNSRb4NTcnHLab/0ysvEqzjCVf31Nqr85/A8Dn+6gdZUG0cKDA4lqBQ5KCFwHYpygaC3HmLtsgl4lTEcvnsO3EjxXUoFWEjBqNKhO51Oym3OuYDDJQpuhO6aD9AxbD/Mse+pOtYOSjCmJE4FcImi10bRnQRnkyh4RXC3CMEcrF+/GiuXVNA3hz0R1dyvnbG2egcl8p5rX3MZ/va6U33UT934Hwfw7Kj0/wYA3DM8PHLP1S/D5iiKTov8ETG8e7ughZVL1505951XjA+hWHQxMnQIjekx1MsCUgCew1Er++ipNeCMTGOiFaEkoSrnCqVmhJFV3kIm6gmLLThAmUrwLbg+KG8iDIoYmgDGpiKUCgRNV6BcAITwUa8V0Ns/Dz4bxJUXLsGOQ+GHDuwb33XB+efTwQVzqOOwnctW4nuVavepPrTPi/E/HuBm9Pb2AMD3zPLDjx5CoeB2LV9x4P7zG4/AlzwYvPD0t9cK8spKSclsR/b/DN31wyAceOypElqyjAoHiGyDEoLRSamoDedoSQIpIxQ95WkNQqBGQxScEJMNDkYiEErQ1+3g3HURdhxiCOCgp6eOyy85B7UyQ70q0FUN7ix5Rz/WahNn5eBafOr9C+4B2mOELD3Vh/B5Of4/wGcYZ6+ZBwBjAG4DgF27DwLA40A0l3MIyAhTY9vhuUcRSYoDIwUMTyL409e95HqPNF5eLYngF/sE+koS/d0cQSjAKMG8OQyMqk6+83tDdFUbeGRnGT1zXKfc63yrWrrl+iULPKdYpgB1UKlUsHr16SgWXLiOpI5DDgPY1V0bONWH6AUxfnUEz+fB+Pb3NgMgc8dHh+rVciQf3CkwtyQwr4djuq106YE+BkokptsE8+eE6KpO4uFHK1gwt0QGF8wZl1IeHjztglP9V35lxv8DKzxWtw8AtkYAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTg6MzE6MjMrMDA6MDCBAQddAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE4OjMxOjIzKzAwOjAw8Fy/4QAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 49859509
    {'hecke_orbit_code': 31525403583580902, 'n': 1, 'trace_an': 2}
  • id: 49859510
    {'hecke_orbit_code': 31525403583580902, 'n': 2, 'trace_an': 0}
  • id: 49859511
    {'hecke_orbit_code': 31525403583580902, 'n': 3, 'trace_an': 0}
  • id: 49859512
    {'hecke_orbit_code': 31525403583580902, 'n': 4, 'trace_an': -2}
  • id: 49859513
    {'hecke_orbit_code': 31525403583580902, 'n': 5, 'trace_an': 4}
  • id: 49859514
    {'hecke_orbit_code': 31525403583580902, 'n': 6, 'trace_an': 0}
  • id: 49859515
    {'hecke_orbit_code': 31525403583580902, 'n': 7, 'trace_an': 0}
  • id: 49859516
    {'hecke_orbit_code': 31525403583580902, 'n': 8, 'trace_an': 0}
  • id: 49859517
    {'hecke_orbit_code': 31525403583580902, 'n': 9, 'trace_an': 0}
  • id: 49859518
    {'hecke_orbit_code': 31525403583580902, 'n': 10, 'trace_an': -2}
  • id: 49859519
    {'hecke_orbit_code': 31525403583580902, 'n': 11, 'trace_an': 8}
  • id: 49859520
    {'hecke_orbit_code': 31525403583580902, 'n': 12, 'trace_an': 0}
  • id: 49859521
    {'hecke_orbit_code': 31525403583580902, 'n': 13, 'trace_an': 0}
  • id: 49859522
    {'hecke_orbit_code': 31525403583580902, 'n': 14, 'trace_an': 4}
  • id: 49859523
    {'hecke_orbit_code': 31525403583580902, 'n': 15, 'trace_an': 0}
  • id: 49859524
    {'hecke_orbit_code': 31525403583580902, 'n': 16, 'trace_an': 2}
  • id: 49859525
    {'hecke_orbit_code': 31525403583580902, 'n': 17, 'trace_an': 0}
  • id: 49859526
    {'hecke_orbit_code': 31525403583580902, 'n': 18, 'trace_an': 0}
  • id: 49859527
    {'hecke_orbit_code': 31525403583580902, 'n': 19, 'trace_an': -8}
  • id: 49859528
    {'hecke_orbit_code': 31525403583580902, 'n': 20, 'trace_an': -4}
  • id: 49859529
    {'hecke_orbit_code': 31525403583580902, 'n': 21, 'trace_an': 0}
  • id: 49859530
    {'hecke_orbit_code': 31525403583580902, 'n': 22, 'trace_an': 0}
  • id: 49859531
    {'hecke_orbit_code': 31525403583580902, 'n': 23, 'trace_an': 0}
  • id: 49859532
    {'hecke_orbit_code': 31525403583580902, 'n': 24, 'trace_an': 0}
  • id: 49859533
    {'hecke_orbit_code': 31525403583580902, 'n': 25, 'trace_an': 6}
  • id: 49859534
    {'hecke_orbit_code': 31525403583580902, 'n': 26, 'trace_an': 4}
  • id: 49859535
    {'hecke_orbit_code': 31525403583580902, 'n': 27, 'trace_an': 0}
  • id: 49859536
    {'hecke_orbit_code': 31525403583580902, 'n': 28, 'trace_an': 0}
  • id: 49859537
    {'hecke_orbit_code': 31525403583580902, 'n': 29, 'trace_an': 4}
  • id: 49859538
    {'hecke_orbit_code': 31525403583580902, 'n': 30, 'trace_an': 0}
  • id: 49859539
    {'hecke_orbit_code': 31525403583580902, 'n': 31, 'trace_an': 2}
  • id: 49859540
    {'hecke_orbit_code': 31525403583580902, 'n': 32, 'trace_an': 0}
  • id: 49859541
    {'hecke_orbit_code': 31525403583580902, 'n': 33, 'trace_an': 0}
  • id: 49859542
    {'hecke_orbit_code': 31525403583580902, 'n': 34, 'trace_an': -12}
  • id: 49859543
    {'hecke_orbit_code': 31525403583580902, 'n': 35, 'trace_an': 4}
  • id: 49859544
    {'hecke_orbit_code': 31525403583580902, 'n': 36, 'trace_an': 0}
  • id: 49859545
    {'hecke_orbit_code': 31525403583580902, 'n': 37, 'trace_an': 0}
  • id: 49859546
    {'hecke_orbit_code': 31525403583580902, 'n': 38, 'trace_an': 0}
  • id: 49859547
    {'hecke_orbit_code': 31525403583580902, 'n': 39, 'trace_an': 0}
  • id: 49859548
    {'hecke_orbit_code': 31525403583580902, 'n': 40, 'trace_an': 2}
  • id: 49859549
    {'hecke_orbit_code': 31525403583580902, 'n': 41, 'trace_an': 0}
  • id: 49859550
    {'hecke_orbit_code': 31525403583580902, 'n': 42, 'trace_an': 0}
  • id: 49859551
    {'hecke_orbit_code': 31525403583580902, 'n': 43, 'trace_an': 0}
  • id: 49859552
    {'hecke_orbit_code': 31525403583580902, 'n': 44, 'trace_an': -8}
  • id: 49859553
    {'hecke_orbit_code': 31525403583580902, 'n': 45, 'trace_an': 0}
  • id: 49859554
    {'hecke_orbit_code': 31525403583580902, 'n': 46, 'trace_an': 0}
  • id: 49859555
    {'hecke_orbit_code': 31525403583580902, 'n': 47, 'trace_an': 0}
  • id: 49859556
    {'hecke_orbit_code': 31525403583580902, 'n': 48, 'trace_an': 0}
  • id: 49859557
    {'hecke_orbit_code': 31525403583580902, 'n': 49, 'trace_an': 6}
  • id: 49859558
    {'hecke_orbit_code': 31525403583580902, 'n': 50, 'trace_an': -8}
  • id: 49859559
    {'hecke_orbit_code': 31525403583580902, 'n': 51, 'trace_an': 0}
  • id: 49859560
    {'hecke_orbit_code': 31525403583580902, 'n': 52, 'trace_an': 0}
  • id: 49859561
    {'hecke_orbit_code': 31525403583580902, 'n': 53, 'trace_an': 0}
  • id: 49859562
    {'hecke_orbit_code': 31525403583580902, 'n': 54, 'trace_an': 0}
  • id: 49859563
    {'hecke_orbit_code': 31525403583580902, 'n': 55, 'trace_an': 16}
  • id: 49859564
    {'hecke_orbit_code': 31525403583580902, 'n': 56, 'trace_an': -4}
  • id: 49859565
    {'hecke_orbit_code': 31525403583580902, 'n': 57, 'trace_an': 0}
  • id: 49859566
    {'hecke_orbit_code': 31525403583580902, 'n': 58, 'trace_an': 0}
  • id: 49859567
    {'hecke_orbit_code': 31525403583580902, 'n': 59, 'trace_an': 28}
  • id: 49859568
    {'hecke_orbit_code': 31525403583580902, 'n': 60, 'trace_an': 0}
  • id: 49859569
    {'hecke_orbit_code': 31525403583580902, 'n': 61, 'trace_an': 20}
  • id: 49859570
    {'hecke_orbit_code': 31525403583580902, 'n': 62, 'trace_an': 0}
  • id: 49859571
    {'hecke_orbit_code': 31525403583580902, 'n': 63, 'trace_an': 0}
  • id: 49859572
    {'hecke_orbit_code': 31525403583580902, 'n': 64, 'trace_an': -2}
  • id: 49859573
    {'hecke_orbit_code': 31525403583580902, 'n': 65, 'trace_an': 4}
  • id: 49859574
    {'hecke_orbit_code': 31525403583580902, 'n': 66, 'trace_an': 0}
  • id: 49859575
    {'hecke_orbit_code': 31525403583580902, 'n': 67, 'trace_an': 0}
  • id: 49859576
    {'hecke_orbit_code': 31525403583580902, 'n': 68, 'trace_an': 0}
  • id: 49859577
    {'hecke_orbit_code': 31525403583580902, 'n': 69, 'trace_an': 0}
  • id: 49859578
    {'hecke_orbit_code': 31525403583580902, 'n': 70, 'trace_an': 8}
  • id: 49859579
    {'hecke_orbit_code': 31525403583580902, 'n': 71, 'trace_an': 12}
  • id: 49859580
    {'hecke_orbit_code': 31525403583580902, 'n': 72, 'trace_an': 0}
  • id: 49859581
    {'hecke_orbit_code': 31525403583580902, 'n': 73, 'trace_an': 0}
  • id: 49859582
    {'hecke_orbit_code': 31525403583580902, 'n': 74, 'trace_an': -4}
  • id: 49859583
    {'hecke_orbit_code': 31525403583580902, 'n': 75, 'trace_an': 0}
  • id: 49859584
    {'hecke_orbit_code': 31525403583580902, 'n': 76, 'trace_an': 8}
  • id: 49859585
    {'hecke_orbit_code': 31525403583580902, 'n': 77, 'trace_an': 0}
  • id: 49859586
    {'hecke_orbit_code': 31525403583580902, 'n': 78, 'trace_an': 0}
  • id: 49859587
    {'hecke_orbit_code': 31525403583580902, 'n': 79, 'trace_an': 8}
  • id: 49859588
    {'hecke_orbit_code': 31525403583580902, 'n': 80, 'trace_an': 4}
  • id: 49859589
    {'hecke_orbit_code': 31525403583580902, 'n': 81, 'trace_an': 0}
  • id: 49859590
    {'hecke_orbit_code': 31525403583580902, 'n': 82, 'trace_an': 0}
  • id: 49859591
    {'hecke_orbit_code': 31525403583580902, 'n': 83, 'trace_an': 0}
  • id: 49859592
    {'hecke_orbit_code': 31525403583580902, 'n': 84, 'trace_an': 0}
  • id: 49859593
    {'hecke_orbit_code': 31525403583580902, 'n': 85, 'trace_an': -12}
  • id: 49859594
    {'hecke_orbit_code': 31525403583580902, 'n': 86, 'trace_an': 8}
  • id: 49859595
    {'hecke_orbit_code': 31525403583580902, 'n': 87, 'trace_an': 0}
  • id: 49859596
    {'hecke_orbit_code': 31525403583580902, 'n': 88, 'trace_an': 0}
  • id: 49859597
    {'hecke_orbit_code': 31525403583580902, 'n': 89, 'trace_an': 12}
  • id: 49859598
    {'hecke_orbit_code': 31525403583580902, 'n': 90, 'trace_an': 0}
  • id: 49859599
    {'hecke_orbit_code': 31525403583580902, 'n': 91, 'trace_an': -8}
  • id: 49859600
    {'hecke_orbit_code': 31525403583580902, 'n': 92, 'trace_an': 0}
  • id: 49859601
    {'hecke_orbit_code': 31525403583580902, 'n': 93, 'trace_an': 0}
  • id: 49859602
    {'hecke_orbit_code': 31525403583580902, 'n': 94, 'trace_an': 0}
  • id: 49859603
    {'hecke_orbit_code': 31525403583580902, 'n': 95, 'trace_an': -16}
  • id: 49859604
    {'hecke_orbit_code': 31525403583580902, 'n': 96, 'trace_an': 0}
  • id: 49859605
    {'hecke_orbit_code': 31525403583580902, 'n': 97, 'trace_an': 0}
  • id: 49859606
    {'hecke_orbit_code': 31525403583580902, 'n': 98, 'trace_an': 0}
  • id: 49859607
    {'hecke_orbit_code': 31525403583580902, 'n': 99, 'trace_an': 0}
  • id: 49859608
    {'hecke_orbit_code': 31525403583580902, 'n': 100, 'trace_an': -6}