Newform data - 2070.2.a.g

Formats: - HTML - YAML - JSON - 2026-08-12T14:24:28.527368

• 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': 8280, 'analytic_conductor': 16.52903321840504, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [5, -1], [23, 1]], 'atkin_lehner_string': '+--+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2070, 1, [461, 1657, 1891], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[7, [0, 1]], [11, [2, 1]], [13, [0, 1]], [17, [6, 1]], [29, [0, 1]]], 'hecke_orbit': 7, 'hecke_orbit_code': 27021597797779478, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2070.2.a.g', 'level': 2070, '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, 23], 'level_radical': 690, 'minimal_twist': '690.2.a.i', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}+q^{4}+q^{5}-q^{8}-q^{10}-2q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/2070/g'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2070.2.a', 'trace_display': [-1, 0, 1, 0], 'trace_hash': 1298827711297470595, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.007', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.022', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.016', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.143', 'prec': 10}, {'__RealLiteral__': 0, 'data': '5.008', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.024', 'prec': 7}, 'traces': [1, -1, 0, 1, 1, 0, 0, -1, 0, -1, -2, 0, 0, 0, 0, 1, -6, 0, 4, 1, 0, 2, -1, 0, 1, 0, 0, 0, 0, 0, -8, -1, 0, 6, 0, 0, -6, -4, 0, -1, 2, 0, -2, -2, 0, 1, -4, 0, -7, -1, 0, 0, 2, 0, -2, 0, 0, 0, 0, 0, -2, 8, 0, 1, 0, 0, -2, -6, 0, 0, 10, 0, -10, 6, 0, 4, 0, 0, 0, 1, 0, -2, 4, 0, -6, 2, 0, 2, -4, 0, 0, -1, 0, 4, 4, 0, 16, 7, 0, 1, 0, 0, -16, 0, 0, -2, -8, 0, 2, 2, 0, 0, -10, 0, -1, 0, 0, 0, 0, 0, -7, 2, 0, -8, 1, 0, 6, -1, 0, 0, 4, 0, 0, 2, 0, 6, -2, 0, 12, 0, 0, -10, 0, 0, 0, 10, 0, -6, -10, 0, -20, -4, 0, 0, -8, 0, -6, 0, 0, -1, 0, 0, -8, 2, 0, -4, -8, 0, -13, 6, 0, -2, -6, 0, 0, -2, 0, 4, 24, 0, 6, 0, 0, 1, -6, 0, 12, -4, 0, -4, 8, 0, -14, -16, 0, -7, -14, 0, 24, -1, 0, 0, 0, 0, 2, 16, 0, 0, -8, 0, -20, 2, 0, 8, -2, 0, 0, -2, 0, -2, 0, 0, -14, 0, 0, 10, -8, 0, -14, 1, 0, 0, -22, 0, -4, 0, 0, 0, 26, 0, 2, 7, 0, -2, -7, 0, 0, 8, 0, -1, 18, 0, 2, -6, 0, 1, -6, 0, 0, 0, 0, -4, -16, 0, 2, 0, 0, -2, -28, 0, -8, -6, 0, 2, -2, 0, 24, -12, 0, 0, -12, 0, 10, 10, 0, 0, 0, 0, 19, 0, 0, -10, -22, 0, 0, 6, 0, 10, 0, 0, 0, 20, 0, 4, -2, 0, 12, 0, 0, 8, 2, 0, -20, 6, 0, 0, 6, 0, 0, 1, 0, 0, -24, 0, 0, 8, 0, -2, 0, 0, 4, 4, 0, 8, -2, 0, 28, 13, 0, -6, 16, 0, 0, 2, 0, 6, 4, 0, 26, 0, 0, 2, 6, 0, 10, -4, 0, -24, 32, 0, -3, -6, 0, 0, -10, 0, 16, -1, 0, 6, 0, 0, -6, -12, 0, 4, 0, 0, -8, 4, 0, -8, -16, 0, 0, 14, 0, 16, 18, 0, 6, 7, 0, 14, 0, 0, 8, -24, 0, 1, 0, 0, 0, 0, 0, 0, 12, 0, 22, -2, 0, -16, 0, 0, 4, 0, 0, 8, 6, 0, 22, 20, 0, -2, -6, 0, 0, -8, 0, 2, 40, 0, 32, 0, 0, 2, -4, 0, -12, 2, 0, 0, -36, 0, -4, 14, 0, 0, 2, 0, -4, -10, 0, 8, 0, 0, -8, 14, 0, -1, -32, 0, 34, 0, 0, 22, 4, 0, 0, 4, 0, 0, 4, 0, 4, 0, 0, -26, 0, 0, 0, -2, 0, -7, 16, 0, 2, 2, 0, 7, 12, 0, 0, 0, 0, -8, 0, 0, -36, 1, 0, -18, 24, 0, 0, -2, 0, 6, 0, 0, 0, -1, 0, 6, -16, 0, 8, 0, 0, 0, -36, 0, 34, 4, 0, 16, 48, 0, 1, -2, 0, 0, 0, 0, -8, 2, 0, 28, 14, 0, 26, 8, 0, 6, 2, 0, 20, -2, 0, 2, 0, 0, 0, -24, 0, 12, 30, 0, 0, 0, 0, 12, -4, 0, -10, -10, 0, -10, 0, 0, -16, 0, 0, 0, -1, 0, -2, -19, 0, 0, 0, 0, -4, 10, 0, 22, 28, 0, -32, 0, 0, -6, 42, 0, 0, -10, 0, 0, -26, 0, 22, 0, 0, -20, -7, 0, -22, -4, 0, 2, 0, 0, -10, -12, 0, 0, 42, 0, 20, -8, 0, -2, 0, 0, 1, 20, 0, -6, 36, 0, -16, 0, 0, -6, 6, 0, 0, 0, 0, -1, -4, 0, -14, 0, 0, 24, 36, 0, 0, 0, 0, -8, 14, 0, 4, 2, 0, 0, -18, 0, 10, -4, 0, -4, 0, 0, 0, -8, 0, 2, 4, 0, -10, -28, 0, -13, 6, 0, 0, 6, 0, -16, -20, 0, -2, 0, 0, -2, 0, 0, 20, -6, 0, -4, 12, 0, -12, -26, 0, 0, 18, 0, -24, -2, 0, -6, 0, 0, -38, -10, 0, 4, 8, 0, 0, 24, 0, -32, 22, 0, 0, 3, 0, 6, 0, 0, -28, 0, 0, 10, 12, 0, -30, -16, 0, 1, 4, 0, 36, -6, 0, 0, 24, 0, -10, 6, 0, 12, 0, 0, 32, -4, 0, 0, -20, 0, -42, 8, 0, -4, 14, 0, 0, 8, 0, 16, 0, 0, -42, 0, 0, -14, -38, 0, -8, -16, 0, -18, 8, 0, -20, -6, 0, -7, -6, 0, 18, -14, 0, 0, 0, 0, 0, -8, 0, 24, -42, 0, 24, -1, 0, 0, 20, 0, 0, 0, 0, 0, 6, 0, 20, 0, 0, -12, -8, 0, -8, -22, 0, 2, -44, 0, -10, 16, 0, 0, 32, 0, -6, -4, 0, 0, 42, 0, -8, -8, 0, -6, -12, 0, -29, -22, 0, -20, -13, 0, 0, 2, 0, 6, 6, 0, -16, 0, 0, 8, -18, 0, -20, -2, 0, -40, 12, 0, -6, -32, 0, 0, 0, 0, 0, -2, 0, 4, 0, 0, 32, 12, 0, -2, -36, 0, 8, 0, 0, 36, 28, 0, 0, 4, 0, -14, -16, 0, 24, 0, 0, -2, 0, 0, -12, 4, 0, 10, 6, 0, 38, -8, 0, 0, -20, 0, -8, 8, 0, -14, 0, 0, 48, 1, 0, 32, 0, 0, -6, -34, 0, 0, 18, 0, -28, -22, 0, -4, 12, 0, 40, 0, 0, -4, 38, 0, -2, 0, 0, -4, -52, 0, 0, -4, 0, 0, 22, 0, 8, 26, 0, 0, 0, 0, 33, 0, 0, 2, -14, 0, -38, 7, 0, -16, -6, 0, 0, -2, 0, -2, -38, 0, 8, -7, 0, -12, -24, 0, -14, 0, 0, 0, 2, 0, -36, 8, 0, 0, 24, 0, -16, 36, 0, -1, 0, 0, 0, 18, 0, -24, 8, 0, 26, 0, 0, 2, -38, 0, 0, -6, 0, 0, -30, 0, 30, 0, 0, 1, 2, 0, 0, -6, 0, 16, 32, 0, -32, -8, 0, 0, 12, 0, 4, 0, 0, 36, 0, 0, -8, -34, 0, -4, -24, 0, 36, -16, 0, -48, -20, 0, 0, -1, 0, 2, -52, 0, 12, 0, 0, 0, -32, 0, -46, 8, 0, -2, 0, 0, -2, -28, 0, -14, 0, 0, 4, -26, 0, -8, 0, 0, 10, -6, 0, -2, -22, 0, -56, -20, 0, 2, -6, 0, 0, -2, 0, 0, -56, 0, 0, 0, 0, 24, -54, 0, 0, -12, 0, -30, -14, 0, -40, 0, 0, 0, 0, 0, 30, -12, 0, 4, 7, 0, 6, 10, 0, 10, 32, 0, -8, 10, 0, 0, 12, 0, 0, 16, 0, 0, -14, 0, 48, 0, 0, 1, -42, 0, 58, 2, 0, 19, 0, 0, -8, 0, 0, 0, -36, 0, -22, 4, 0, -10, 0, 0, 8, -22, 0, -28, -4, 0, 16, 32, 0, 0, -8, 0, 0, 6, 0, -42, 60, 0, 0, 0, 0, 10, 54, 0, 26, 0, 0, 26, -4, 0, 14, -22, 0, 0, 2, 0, -60, 20, 0, 7, 0, 0, 50, 22, 0, 4, 46, 0, -2, -2, 0, 0, -44, 0, -7, 10, 0, 12, -46, 0, 12, 0, 0, -42, 0, 0, 44, -20, 0, 8, 60, 0, 20, 2, 0, 0, 0, 0, 10, -1, 0, -20, 0, 0, 18, 6, 0, -36, -14, 0, 0, 16, 0, 0, 2, 0, 0, 6, 0, -6, -16, 0, -8, 0, 0, 0, 2, 0, -32, 1, 0, 4, 20, 0, -6, 14, 0, 0, 22, 0, -44, -24, 0, -36, 0, 0, -42, 0, 0, 0, 0, 0, 32, 8, 0, -14, -12, 0, 0, -4, 0, -2, 0, 0, -16, 0, 0, 18, 50, 0, -58, -10, 0, 4, 2, 0, -2, 4, 0, 0, 36, 0, 16, 0, 0, 8, 0, 0, 0, -2, 0, -4, 0, 0, -28, 10, 0, 28, 40, 0, 0, 13, 0, -6, -8, 0, 0, 0, 0, -6, -42, 0, 0, 16, 0, 20, 8, 0, -1, 2, 0, 0, -2, 0, -2, 2, 0, 0, 0, 0, -10, -20, 0, 6, 24, 0, -40, 4, 0, -12, 0, 0, 0, 12, 0, 26, -12, 0, 8, 0, 0, -18, 2, 0, -12, 24, 0, 2, -2, 0, -24, 6, 0, 0, 10, 0, 0, 38, 0, 10, 0, 0, -20, -4, 0, -8, -36, 0, -50, 0, 0, -24, 54, 0, 0, 32, 0, -22, -34, 0, -8, 0, 0, -3, 19, 0, 56, -6, 0, 0, 32, 0, 36, 28, 0, 0, 32, 0, 0, -10, 0, -12, 0, 0, -22, 30, 0, 16, 0, 0, -72, -1, 0, -4, 0, 0, 0, -36, 0, 6, 50, 0, 10, 0, 0, -24, 0, 0, -26, 10, 0, -6, 42, 0, 0, -12, 0, 0, -48, 0, 0, -32, 0, 4, 0, 0, 4, 0, 0, 20, -10, 0, 24, 42, 0, -8, -12, 0, 56, 4, 0, -14, 60, 0, -2, 0, 0, -8, -24, 0, -36, -16, 0, 0, 12, 0, 0, 42, 0, 0, 2, 0, -2, 14, 0, 38, 0, 0, 10, 8, 0, 16, 66, 0, 2, 18, 0, -8, -10, 0, 0, 20, 0, 6, -20, 0, -34, 7, 0, 6, -58, 0, 0, -18, 0, 14, 16, 0, 20, 0, 0, 0, 0, 0, 6, 0, 0, 8, 0, 0, 12, -24, 0, 42, 0, 0, 22, -24, 0, 1, -20, 0, 0, 0, 0, -20, 40, 0, 46, 0, 0, 0, -26, 0, -24, 0, 0, -6, 60, 0, -70, -20, 0, 0, 0, 0, 26, 12, 0, 8, 0, 0, -10, 8, 0, 22, -18, 0, 20, -2, 0, 44, -16, 0, 0, 10, 0, -16, -96, 0, 0, 0, 0, -32, 4, 0, -38, 6, 0, 4, 40, 0, 32, 0, 0, -42, -48, 0, 54, 8, 0, 8, 0, 0, -2, 6, 0, 12, 10, 0, -37, 29, 0, 22, 28, 0, 0, 20, 0, 13, -16, 0, 78, 0, 0, -2, -66, 0, 56, -6, 0, -6, 0, 0, 16, 16, 0, 0, -6, 0, 0, -8, 0, 18, 0, 0, 0, 20, 0, 2, -28, 0, 62, 40, 0, -12, 12, 0, 0, 6, 0, 32, -74, 0, 4, 0, 0, 0, 24, 0, -10, 0, 0, 2, 26, 0, -22, -4, 0, 0, 96, 0, 8, -32, 0, -12, 0, 0, -64, 2, 0, 36, -4, 0, 6, -8, 0, 0, 0, 0, 0, -36, 0, -28, 10, 0, 70, 0, 0, -4, 0, 0, -42, 14, 0, 16, -28, 0, 58, -24, 0, 0, 16, 0, 32, 2, 0, 0, 0, 0, -50, 12, 0, -4, -3, 0, 0, -10, 0, -6, 42, 0, 42, -38, 0, 8, 0, 0, 48, 0, 0, 20, 32, 0, -10, 8, 0, -8, 0, 0, -32, 14, 0, 0, 16, 0, 16, -48, 0, -1, 0, 0, 64, -32, 0, 0, 48, 0, -39, 6, 0, 34, -12, 0, 0, 0, 0, -18, 26, 0, 70, 28, 0, 22, -6, 0, 8, 4, 0, -12, -46, 0, 68, -40, 0, 0, -6, 0, 12, 4, 0, -38, 0, 0, 0, 2, 0, 0, 42, 0, 16, 4, 0, 52, -8, 0, 0, 0, 0, 4, -50, 0, 12, 0, 0, -22, -24, 0, -4, -8, 0, -26, 62, 0, -16, 0, 0, 0, 0, 0, 60, -33, 0, 0, 0, 0, -8, -2, 0, 14, 2, 0, -60, 38, 0, -7, 0, 0, 0, 16, 0, 6, 0, 0, 18, 0, 0, 2, -66, 0, -56, 2, 0, 38, 6, 0, -64, -8, 0, 7, -12, 0, 0, 12, 0, 24, 0, 0, -48, 14, 0, 0, 10, 0, 0, 0, 0, -2, -48, 0, 0, 36, 0, -8, 8, 0, -12, 0, 0, -24, -12, 0, -84, 16, 0, -36, -18, 0, 80, 1, 0, 0, -52, 0, 0, 0, 0, -18, -14, 0, 76, 24, 0, -8, 0, 0, 22, -26, 0, 0, 8, 0, 0, -2, 0, 38, -12, 0, -22, 0, 0, 6, -32, 0, 12, 0, 0, 30, -36, 0, 0, -30, 0, 0, 22, 0, 4, -1, 0, -2, 0, 0, -76, 0, 0, 6, 42, 0, 0, -16, 0, -32, -12, 0, 0, 32, 0, 8, 62, 0, 8, 0, 0, -12, 4, 0, 16, -4, 0, 0, 20, 0, -76, -36, 0, 0, 48, 0, 66, 8, 0, 34, 0, 0, 6, 4, 0, 24, 68, 0, -16, -36, 0, 16, 22, 0, 14, 48, 0, 20, -42, 0, 80, 0, 0, 1, 0, 0, 0, -2, 0, 52, 28, 0, -6, -12, 0, 0, 6, 0, 28, 0, 0, 32, 0, 0, 12, 46, 0, -8, -20, 0, -10, 2, 0, 0, -40, 0, 0, 2, 0, 28, -46, 0, 40, 14, 0, 0, -36, 0, -14, -4, 0, 26, 32, 0, 28, 8, 0, 0, 0, 0, 4, -10, 0, 6, 0, 0, -20, 2, 0, 22, 0, 0, -4, 56, 0, 20, -48, 0, 0, -2, 0, 6, -12, 0, 0, 0, 0, 2, -80, 0, -68, 0, 0, 56, 24, 0, -31, 0, 0, 0, 30, 0, -36, -24, 0, 54, 0, 0, 6, 0, 0, 12, -4, 0, -24, 30, 0, 14, -16, 0, 0, 40, 0, 0, -82, 0, -4, 0, 0, 0, 92, 0, 2, -30, 0, 12, 0, 0, -60, -4, 0, -7, -4, 0, 12, -6, 0, -10, 0, 0, 80, -10, 0, -32, -52, 0, -34, 8, 0, -10, -22, 0, 0, 0, 0, -12, -4, 0, -82, 0, 0, -16, -8, 0, -20, 0, 0, 14, 0, 0, -52, -48, 0, 0, 90, 0, -28, -1, 0, 42, 28, 0, -32, -58, 0, -2, -48, 0, -48, -19, 0, 0, 34, 0, 0, 8, 0, 0, 40, 0, 0, 0, 0, 36, 0, 0, 12, 22, 0, -4, 46, 0, 4, 10, 0, 0, -80, 0, 94, -8, 0, 22, 0, 0, -24, 28, 0, 4, -60, 0, 0, -16, 0, -32, -42, 0, 0, 0, 0, 8, -72, 0, 4, 0, 0, -6, 16, 0, -68, 42, 0, -60, 4, 0, 34, 0, 0, 0, -80, 0, -44, -10, 0, -54, 0, 0, -26, -26, 0, 0, 14, 0, 0, -26, 0, 4, -12, 0, 49, -14, 0, 22, 0, 0, 0, 0, 0, -2, -18, 0, 24, 60, 0, -20, -86, 0, 0, -7, 0, 0, -24, 0, 16, -50, 0, -22, 0, 0, 0, -4, 0, -46, 2, 0, -58, 2, 0, 2, 82, 0, 0, 0, 0, 44, -16, 0, 0, 7, 0, -10, 28, 0, 12, -12, 0, 46, 42, 0, 8, -12, 0, 0, 0, 0, 4, 42, 0, 0, 0, 0, 14, -44, 0, 20, -58, 0, 12, -8, 0, -60, 0, 0, 0, -20, 0, -2, 16, 0, -8, 0, 0, 0, -36, 0, 16, -10, 0, 1, -4, 0, 24, 20, 0, 0, -2, 0, 0, -18, 0, -6, 0, 0, 24, 36, 0, 14, 28, 0, 30, 0, 0, -16, 0, 0, 0, 0, 0, -2, -28, 0, 60, 0, 0, -6, 0, 0, -68, 6, 0, 16, 32, 0, 0, 8, 0, 0, -6, 0, -80, 0, 0, -2, 0, 0, 44, 32, 0, -1, 0, 0, 44, -4, 0, -20, 120, 0, 0, 6, 0, -14, -32, 0, -16, 0, 0, -22, 100, 0, 0, 44, 0, 24, 8, 0, 0, 36, 0, 0, -60, 0, -20, 42, 0, 0, -14, 0, 10, 0, 0, 0, -8, 0, -36, -32, 0, -8, 12, 0, 0, 14, 0, 12, 34, 0, -10, 0, 0, 4, 66, 0, 4, 2, 0, 0, -60, 0, -52, 16, 0, 0, 14, 0, 48, -18, 0, -50, 0, 0, 48, 58, 0, 10, 1, 0, -62, -4, 0, -2, -4, 0, 0, 2, 0, -4, 14, 0, -32, 0, 0, -36, 12, 0, 0, -16, 0, 0, 36, 0, -44, -8, 0, 0, -8, 0, 24, 0, 0, 2, 0, 0, -98, 4, 0, 0, -80, 0, 38, 28, 0, -10, 70, 0, 14, -28, 0, -40, -60, 0, 60, 0, 0, -13, 26, 0, -52, 6, 0, 8, -40, 0, -44, 0, 0, 0, 0, 0, 40, 6, 0, 42, 0, 0, 2, 0, 0, -16, 24, 0, -40, -20, 0, -8, 20, 0, 0, 1, 0, -2, -24, 0, 0, 0, 0, 2, -4, 0, -34, 2, 0, -2, 26, 0, 0, 0, 0, 0, 32, 0, -36, 10, 0, 20, 0, 0, 28, -6, 0, -24, 48, 0, 0, 40, 0, -4, 78, 0, 0, 12, 0, 0, 7, 0, 30, 0, 0, -12, 0, 0, 28, -26, 0, 12, 0, 0, 22, -8, 0, 0, -66, 0, -86, 18, 0, -2, 0, 0, -49, 12, 0, -24, 0, 0, -4, -2, 0, 2, 0, 0, 0, 24, 0, -6, -10, 0, 12, 0, 0, -10, -40, 0, -86, 0, 0, -38, 26, 0, 48, -10, 0, 0, -12, 0, 0, 20, 0, 4, 0, 0, -12, 8, 0, 36, -16, 0, 52, 50, 0, 0, -92, 0, 0, 24, 0, -54, 8, 0, -80, 0, 0, -32, 78, 0, -1, 22, 0, 34, 66, 0, 4, 8, 0, 0, -2, 0, -18, 3, 0, -19, 0, 0, 32, -56, 0, 6, -42, 0, 0, 0, 0, -32, 0, 0, 0, -36, 0, -28, -78, 0, 20, 0, 0, -32, -4, 0, -30, 0, 0, 10, -6, 0, 0, 12, 0, 0, 0, 0, 0, 22, 0, -30, 0, 0, 28, -16, 0, 0, 96, 0, 36, 72, 0, 1, -32, 0, 0, 4, 0, 0, 0, 0, 74, 0, 0, 36, 18, 0, 56, -6, 0, -50, -80, 0, 42, -10, 0, 0, 22, 0, 44, 24, 0, 0, 0, 0, 0, 26, 0, -10, 16, 0, -24, 6, 0, -42, 0, 0, 14, 0, 0, 12, -20, 0, -26, 0, 0, 48, -42, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1], [-1], [0], [1], [1], [0], [0], [-1], [0], [-1], [-2], [0], [0], [0], [0], [1], [-6], [0], [4], [1], [0], [2], [-1], [0], [1], [0], [0], [0], [0], [0], [-8], [-1], [0], [6], [0], [0], [-6], [-4], [0], [-1], [2], [0], [-2], [-2], [0], [1], [-4], [0], [-7], [-1], [0], [0], [2], [0], [-2], [0], [0], [0], [0], [0], [-2], [8], [0], [1], [0], [0], [-2], [-6], [0], [0], [10], [0], [-10], [6], [0], [4], [0], [0], [0], [1], [0], [-2], [4], [0], [-6], [2], [0], [2], [-4], [0], [0], [-1], [0], [4], [4], [0], [16], [7], [0], [1]], 'ap': [[-1], [0], [1], [0], [-2], [0], [-6], [4], [-1], [0], [-8], [-6], [2], [-2], [-4], [2], [0], [-2], [-2], [10], [-10], [0], [4], [-4], [16], [0], [-16], [-8], [2], [-10], [6], [4], [-2], [12], [-10], [-20], [-6], [-8], [-8], [-6], [24], [6], [8], [-14], [-14], [24], [-20], [-14], [-8], [-14], [-22], [26], [2], [18], [-6], [-16], [-28], [-8], [24], [-12], [10], [-22], [12], [2], [-20], [6], [4], [28], [4], [26], [6], [32], [16], [-6], [-8], [-16], [18], [8], [0], [22], [6], [22], [40], [32], [-12], [-36], [2], [-8], [-32], [34], [4], [0], [2], [12], [-36], [24], [0], [-36], [34], [26], [20], [30], [-4], [0], [-16], [-2], [28], [42], [-26], [22], [-22], [-10], [42], [20], [-16], [-4], [-14], [36], [14], [-18], [10], [-10], [6], [-20], [20], [18], [-38], [22], [-28], [-30], [36], [24], [32], [-42], [14], [-42], [-38], [18], [-42], [6], [20], [-44], [-10], [32], [-6], [-12], [-16], [-18], [-20], [12], [32], [-36], [8], [28], [38], [-20], [48], [18], [40], [38], [-52], [22], [-38], [-6], [-38], [-24], [-36], [-16], [26], [-38], [-30], [30], [32], [-32], [4], [-24], [36], [-52], [12], [-46], [10], [-22], [-56], [-6], [-56], [-54], [-40], [30], [6], [-42], [58], [-36], [8], [-8], [60], [54], [14], [50], [46], [-44], [-46], [12], [44], [10], [-14], [2], [-32], [20], [22], [-44], [-42], [0], [32], [-12], [50], [-58], [-2], [-42], [8], [-2], [-10], [8], [-2], [-20], [-36], [-50], [54], [-34], [56], [32], [36], [0], [-72], [50], [10], [0], [-26], [42], [-48], [-10], [60], [-36], [-2], [10], [66], [-10], [-34], [-58], [20], [0], [22], [-20], [40], [46], [-26], [60], [-70], [26], [-18], [-38], [32], [-48], [54], [78], [-66], [56], [-6], [-28], [62], [-74], [-10], [-22], [8], [-64], [70], [-42], [-28], [58], [-50], [42], [32], [-32], [48], [70], [8], [-46], [68], [-6], [12], [42], [-50], [-24], [62], [2], [-60], [-66], [-56], [10], [-48], [-12], [-84], [-18], [80], [-52], [76], [22], [-12], [-22], [-36], [-76], [-12], [62], [20], [-76], [48], [66], [68], [-42], [80], [6], [28], [12], [-20], [-10], [-46], [-14], [-20], [-68], [24], [30], [6], [-82], [-4], [92], [-60], [-52], [-34], [-22], [-82], [-20], [-52], [90], [-48], [-48], [46], [-80], [94], [-24], [-60], [-42], [-68], [34], [-80], [-44], [-26], [14], [-12], [-18], [-86], [-24], [-58], [82], [-16], [42], [4], [14], [-58], [24], [30], [-28], [-68], [32], [-6], [-80], [44], [100], [-60], [-20], [12], [-10], [66], [14], [-62], [14], [-32], [12], [-44], [24], [-98], [-80], [38], [70], [-60], [-52], [-40], [-44], [40], [24], [-40], [-24], [-34], [26], [28], [78], [0], [28], [22], [-66], [-86], [0], [-86], [26], [-12], [-12], [52], [-92], [66], [-18], [-42], [0], [-78], [-30], [0], [96], [74], [18], [-80], [22], [44], [-42]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 27021597797779478, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '2070.2.a.g', 'level': 2070, 'maxp': 2999, '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

  
  {'ALdims': [2, 1, 1, 2, 4, 2, 2, 4, 2, 1, 1, 2, 1, 4, 4, 1], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'ALdims_old': [19, 29, 29, 22, 25, 22, 23, 22, 26, 23, 25, 24, 25, 21, 20, 28], 'Nk2': 8280, 'analytic_conductor': 16.52903321840504, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2070, 1, [461, 1657, 1891], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 417, 'dim': 34, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13, 17, 29], 'hecke_orbit_code': 33556502, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3], 'label': '2070.2.a', 'level': 2070, '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, 23], 'level_radical': 690, 'mf_dim': 448, 'mf_new_dim': 34, 'num_forms': 26, 'plus_dim': 12, 'prim_orbit_index': 1, 'relative_dim': 34, 'sturm_bound': 864, 'trace_bound': 13, 'trace_display': [-2, 0, 0, 0], 'traces': [34, -2, 0, 34, 0, 0, 0, -2, 0, 0, -12, 0, 4, 8, 0, 34, 4, 0, 12, 0, 0, 20, 0, 0, 34, 0, 0, 0, 4, 0, -12, -2, 0, 12, 0, 0, -32, 4, 0, 0, 8, 0, -12, -12, 0, 0, 24, 0, 46, -2, 0, 4, 32, 0, 0, 8, 0, 4, 24, 0, 24, 0, 0, 34, -8, 0, 44, 4, 0, 4, -20, 0, 28, 32, 0, 12, 56, 0, 24, 0, 0, 20, 20, 0, 32, -4, 0, 20, 20, 0, 32, 0, 0, -8, 8, 0, -4, -18, 0, 34, -28, 0, -8, 0, 0, -8, 4, 0, 8, -4, 0, 0, -28, 0, 2, 4, 0, 32, 32, 0, 22, 48, 0, -12, 0, 0, -56, -2, 0, -16, -24, 0, -8, 28, 0, 12, 52, 0, -32, 0, 0, -16, 8, 0, -16, 4, 0, -32, 0, 0, 36, 4, 0, 8, -32, 0, -16, 8, 0, 0, 4, 0, -56, 8, 0, 36, 16, 0, -38, -4, 0, -12, -4, 0, 0, -12, 0, 20, 40, 0, -56, 8, 0, 0, -12, 0, 16, 24, 0, -12, 8, 0, 36, 4, 0, 46, 44, 0, -40, -2, 0, 4, 48, 0, -32, -40, 0, 4, 16, 0, 56, 32, 0, -44, 12, 0, -40, 64, 0, 0, -40, 0, -16, 8, 0, 12, 44, 0, -152, -10, 0, 4, -20, 0, -8, 24, 0, 8, 32, 0, -20, -26, 0, 24, 16, 0, -48, 0, 0, 0, -60, 0, -12, 0, 0, 34, -76, 0, -72, -8, 0, 32, 56, 0, -4, -44, 0, 44, -108, 0, -68, 4, 0, 28, -12, 0, -20, -40, 0, 4, -28, 0, 4, -20, 0, -32, -128, 0, 18, 24, 0, 28, -96, 0, 8, 32, 0, -8, 16, 0, -64, 56, 0, 12, -40, 0, -24, 56, 0, -40, -16, 0, -68, -96, 0, 24, -28, 0, 120, 0, 0, 8, -88, 0, 4, 36, 0, 20, 0, 0, 80, 20, 0, -104, 20, 0, -12, -62, 0, 32, -48, 0, 48, -4, 0, -32, 24, 0, -76, 8, 0, 20, -52, 0, -32, 20, 0, 72, -120, 0, -10, 16, 0, 32, -16, 0, -24, 0, 0, 4, 64, 0, 32, 20, 0, -8, -240, 0, -60, 8, 0, -72, 80, 0, -16, -108, 0, -4, -24, 0, 4, -18, 0, -72, 0, 0, -36, -8, 0, 34, -92, 0, 56, -28, 0, 24, 128, 0, -64, -32, 0, -8, -96, 0, 20, 0, 0, -16, -84, 0, 48, -32, 0, -8, 4, 0, -64, 4, 0, -4, 0, 0, -20, 56, 0, 8, -20, 0, -20, -4, 0, -104, -8, 0, -32, 24, 0, 0, -48, 0, 48, -28, 0, -76, -28, 0, -140, -72, 0, 2, 52, 0, -64, 4, 0, -68, -76, 0, -96, 48, 0, 32, 120, 0, 12, 32, 0, -104, 136, 0, -104, -76, 0, 22, -8, 0, 136, 48, 0, 16, 136, 0, -88, 64, 0, -12, 112, 0, 96, 0, 0, -52, -176, 0, 8, 0, 0, -56, -100, 0, 48, -2, 0, 4, -40, 0, 64, 16, 0, -16, 4, 0, 76, -24, 0, -72, 48, 0, 34, -36, 0, -8, 144, 0, -36, 28, 0, -164, -196, 0, -108, -24, 0, 12, 24, 0, 64, 52, 0, 20, 192, 0, 40, -60, 0, -32, -24, 0, 152, 0, 0, 84, -20, 0, -72, -52, 0, -16, -4, 0, -108, 8, 0, 24, 0, 0, 44, -86, 0, -16, -32, 0, 72, 4, 0, -80, 16, 0, 48, 32, 0, -32, 52, 0, -8, 0, 0, 8, 124, 0, -16, -80, 0, 36, 32, 0, 0, 4, 0, -36, -48, 0, -312, -12, 0, 8, -180, 0, -28, -32, 0, 104, 72, 0, 34, 36, 0, -16, -96, 0, -112, 8, 0, -88, 72, 0, -148, 40, 0, 0, 124, 0, -60, 4, 0, 96, 8, 0, -240, 0, 0, -56, 12, 0, 48, 8, 0, 48, 140, 0, -168, -152, 0, 36, 80, 0, -8, 16, 0, -36, -196, 0, 108, -36, 0, -38, 112, 0, 96, -4, 0, -32, -128, 0, -24, 136, 0, -12, 104, 0, -144, -4, 0, 84, 64, 0, 112, -140, 0, 0, -40, 0, 104, -12, 0, -68, 64, 0, 96, 16, 0, 20, 8, 0, 56, 40, 0, 88, -4, 0, 0, 38, 0, -56, 4, 0, 80, 8, 0, -24, 160, 0, -32, 8, 0, 0, -128, 0, 112, -12, 0, 48, 8, 0, -24, -144, 0, 16, 120, 0, -16, 24, 0, 80, -72, 0, 184, 4, 0, -12, 56, 0, -216, 8, 0, -112, 120, 0, 124, 16, 0, 36, -72, 0, -12, 4, 0, -48, -176, 0, 32, -16, 0, 46, 60, 0, 276, 44, 0, 16, 152, 0, 48, 64, 0, -40, -24, 0, 104, -2, 0, -84, 168, 0, 8, 100, 0, 4, 16, 0, 8, 48, 0, 24, 56, 0, 80, -228, 0, -32, 196, 0, 128, -40, 0, -56, -76, 0, -100, 20, 0, 4, -52, 0, -8, 16, 0, -44, 160, 0, -50, 24, 0, 56, 48, 0, 152, 32, 0, 12, 20, 0, 100, -24, 0, -44, -4, 0, 48, 12, 0, 72, -8, 0, -32, -188, 0, -40, 296, 0, -16, 64, 0, -8, 0, 0, -252, 8, 0, 0, -164, 0, 112, -40, 0, 132, -32, 0, 184, 24, 0, -16, 48, 0, 40, 8, 0, 68, 8, 0, 24, 80, 0, 12, -56, 0, 148, 44, 0, -24, 64, 0, 24, -4, 0, -152, 16, 0, 208, -10, 0, -84, 112, 0, -32, 40, 0, 4, 212, 0, 180, -20, 0, 44, 56, 0, -12, 88, 0, -8, 32, 0, -32, 24, 0, 88, -8, 0, 208, 4, 0, 8, -12, 0, -40, 32, 0, 144, -236, 0, -34, -96, 0, -20, -32, 0, 192, -26, 0, 44, -236, 0, -144, 32, 0, 24, -108, 0, -40, 16, 0, -40, -128, 0, 0, -24, 0, -48, 28, 0, 220, 0, 0, -64, -24, 0, 76, 176, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 869437
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2070.2.a.g', 'source_level': 2070, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '690.2.a.i', 'target_level': 690, 'twist_class_label': '690.2.a.i', 'twist_class_level': 690, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 869438
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2070.2.a.g', 'source_level': 2070, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '2070.2.a.g', 'target_level': 2070, 'twist_class_label': '690.2.a.i', 'twist_class_level': 690, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 869439
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2070.2.a.g', 'source_level': 2070, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3450.2.a.c', 'target_level': 3450, 'twist_class_label': '690.2.a.i', 'twist_class_level': 690, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 869440
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2070.2.a.g', 'source_level': 2070, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '3450.2.d.r', 'target_level': 3450, 'twist_class_label': '690.2.a.i', 'twist_class_level': 690, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 869441
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2070.2.a.g', 'source_level': 2070, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '5520.2.a.d', 'target_level': 5520, 'twist_class_label': '690.2.a.i', 'twist_class_level': 690, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2403875
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 2}
  • id: 2403876
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 3}
  • id: 2403877
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 5}
  • id: 2403878
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 7}
  • id: 2403879
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 11}
  • id: 2403880
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 13}
  • id: 2403881
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 17}
  • id: 2403882
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 19}
  • id: 2403883
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 23}
  • id: 2403884
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 29}
  • id: 2403885
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 31}
  • id: 2403886
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 37}
  • id: 2403887
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 41}
  • id: 2403888
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 43}
  • id: 2403889
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 47}
  • id: 2403890
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 53}
  • id: 2403891
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 59}
  • id: 2403892
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 61}
  • id: 2403893
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 67}
  • id: 2403894
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 71}
  • id: 2403895
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 73}
  • id: 2403896
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 79}
  • id: 2403897
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 83}
  • id: 2403898
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 89}
  • id: 2403899
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 27021597797779478, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 7, 'label': '2070.2.a.g', 'level': 2070, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHFAkWlT//KAAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13oGTZVd+Lf3Y451S6uXNPh+nJSZqgGeWIEghZAkkEYzAmPmPsZ7/nZ4RtnjEPLMAYMDwwWSCDQEIICaE8ozAzGo0m5+nu6ZzDjZXrhL1/f+x9QtW9Lenx8G8QfgVHVbe6p2/VOd+z9nd913etLfj/Hn9rjw997B6kFFufPHhixmbW7lgICAPJw0e7vOoF8+Il17eW7n4kY8fC8sJt1522jx/cSS2UbF3o02pmwsir1sCeX9jxSoDtwCowEEI831/tG/ahn+8P8I3yOHTsHMDlxmRbLcL0BzF/8eG/5KodZ9i7fZmaCjly6sPJir31pwe9lW/Vwianz4VsnRck/SHdtTQ8fXrx90+eFohs+IMnp3vx2fOLbF+AE8OY6VYWDNNjf/1rf7T/p5859RHxq//xh37h/Omjf15LH3+4t3ZAWSIQQioZnAeO1ls7nu9T8g3x+P9CwyUe+w9dBFGb1fboq3orT6CETE6vzPyr7lC+QQpLnKQ88shjtOqrXLmjzWpXcfJCHcyINEmZm7IcOBlyw+UZZy9K5qZTppoRh89qMpOwqSU4s5Rw4z7Dcycl89OGMAyp1TRHL0pWe3D1lpSrds9xzXUvwBKgFfRj/dn9R4e/kloTvPblN3DV5TvvxoxWhdryfJ+yv5OP/w/g/rG6ugjwpmZzdMWxY13zM7/+QfPdb5y+vDfa8u5e5zDNWsjxk+dod5aIE81KX5LZkFpgmYosFzopz50dsmO+xkxdoUTCpumQq3Yp+kMQcsTpi5phDGeWBIqQwSjhil2WrXM9JJJmI2bb5i4Hjs+zvFqnWcuIdEJ/aGj3FHGaMju3iWZrB0rH3HDVXh4/sPTzd1x5/uiua75XJmJGbt+kDwOfnp5eeL5P6d+Jx//0AH/q8XuRQrxqrR2/8ZmjS++8Zu/Fa0bdkD/4yEFefMMaixc1Jxb77FxQNCLYNGM4vRKhpEUKw/bZjBMXajQblocPj+iPBLUQltbg8k2aRj1i66aUV93Y4Zmj0zy8X/DsiZSX3pCxY8HQbAp2bV1lcVVRi2Awsjx6YIFWXXLkQsi2uSFSQKgyzi0rppspkowdmxMWl1sMrOHVL2hxcu06ao2Ml79g5sDF1c0fSo38jBDc/fpvevXzfYqf18f/dADvdNao1WpzFy8u/qf3vv+z4f7jz2bf/y21W9dWpm77wGfOs2XzcV77giaff2iGvlnjDbdq7n28xr7LBvQGAWdXFKNEEOmU6y7L2DI3YrkrefzINEkquGrHkAtdxU37Bjx3LKAz1MQjuP26HgdPNZiqx+w/rXnx1ZI4GdEZah4/Lrl5T0a7G3DFzpg4kTx5VLDUrbFtFq7Z1SXUkjiBcysB3VHKldsDvviY5XUv6jEazPDJB/q86tY1Xnj5Lh45vJ2VYf/hb3vlyiMLcy9U2y5/Yzw1Pf9v0zRemZ2Zfr4vwf9fH3/vAX78+AmCQIu/+uS9vPSFI7VvV+M3T53VVz/8xNlX3P3AKXX0whLf+U1rbGlN8bmHmjx2bMA/e8cqnfYWPv2gYdfOPltbdS6spGzfDE8cViQWBIqdcxm3Xt1lpSvoDWs8e1Rzw74OQRjS7UukEFxzmeGJQ4bFTp1+0uWF+2J6g2lWOoLHn5NcvTvFCMFa31CPLC/YI3n6qGYQJ6x2FLdeZdk6n6BESpoFPHok5LLNlotLioW5Dnu2NPnsAwHteJV/9nbFw0/P8OkHh+za1eP73qBZaV/GYndrVpveee9qUjs4XWv/2Iv2iWzn5a/AmNRu237Z832J/oc+/l6qKEuL55FKyUG/U/u93/qZ0ff+k3/7r7Ms+96f+70jyb/6jkPXBnam1l0JqWvodyWPHYJ/9PoeN17R4uxyjTsfDvn2V6zxwn3zfO6xkCsu67N1psXxsym3XxNz4FTITDMBJE8fb7B9zrC8qrnvmYz7DsFNuy3XXSZZ6QrufVby2hsSZpqK1W6LU+c0ax2LCmK+782rnDg/xVpXcMvVQ266YpGAWc4vbeLUIly3xzCIJcfOR8w2NPtPS66+DLpdydW7l9i7vcbnHgo5vjzgHa8yXFia5cAJaI8yXrBvhLI1jpzo8eyx/erI4tFXN6YHL/5PP9i6PTO3BqPR8L//yD//iV86ePBQNDszPUyz1OzY8fdPmfl7FcFTY5BCSJOtziyfP/qS3lD97qFDR9LHnjg4//TBc1NPHk+Zml3mJ79rhM228+RzdR5/LuG5CwPe+JI2L7+2yRMHZ7j7yZiZ+R7f9jLJUwda3Pv0gGv3peycq4MdILQgkJrD5zSbpzLaI0urNuLExYxnTmW01CxveFGP1bUWDzxruWGv4MpdGVkqOLkYkGWGK3cKrr884YFnBCu9Pq+/TVJvnuXg8RbHz83SiATdfsDCdMqRcyGhHqGkwhrNZVtXuH634p7HZnn4aMLbXtVmS3OGex6t8dixPi9+4Srf8qKQwyc28fhBw5NHE4ayx7v/4SKbm1s4cGITvWShs7Bl7/Ley6/Qo1T+8DXX7Lt/6/zUGlgjhHy+L+Xf2uPvTQS/eHGJCxcW99z76Mmdu7eZD22Vn5o+dKTbPHIyY9iT1APY0rI8fnyG+/af5+0vWWWlrWn3NJ1BxIc+12S+1eGmqzTDuMmXnrZ85L4+73hFm1qtxaOHArbP95ifCjl1QdMZZPT7A5pbAhKjmWsqts9KXnnDgMcOpWgpiMKUqJHy8FFFsxWwcyFmlMKOebj56kXafc0onSUxmqeOS554bjeRqhGFGXpmxGAE01MD9gKdXsipixnzM302Tbf4zAMhT52Mefure+ycmeK+J2o8eWzIdftW+e7XZDx3fJYjpwWnL6acXct4y6s7XL+rzrNHGqx2DKcvnJ+6/5ETU73kIWqbdvz5e/63YXuksndm6prT/d7K8UZz7vm+pH8rj294gFtrAa6+5557t8eZ/O37vnLgyv9w35fU7/zLM2yf20KvN0uaRQxGmu7QsGcA7/vMHNvnl3nJVZr+cIFREjCIGzzwbEycrHLTVRCFDR48oPjwPW1u2LPGK25qcujUFItrQ+phyqZZw1U7FOeWFSttSaeb0aqPiMKAnZtijp0P0HLA21+meeRgwLW715iZ6fCJRxt0BhEL000efS7kusu7zE8HHL8o2LEpoFZLmK1lBFoipeDh/XNMN/vUwxFXXKYIZZ0vPWlpNNZ4x6uhFczw+YdCDpwecNM1K9y8D06d3cr+owHHzyY8c9py242rfP/rE85c3MaFlYiVNqx2UlY6lmfP9mkuP9hcPXZX086/+e4sUIdW2tmPWmvPAge/0auo37AAX15ZQSt95bPPPv2Cbrf3vx45evRV933lGR5/bpV2N+L3PtHkf3/XGju3hIwSxTAOGI4CBiNL72ydTzzQ5KXXL3Pz1QqYxdqAxw/P8ocHe7zjtR1ecm3CwkyTh/fP8tkHhmxbGHLNbsHmac2RswH9YUKvD+2eQGvLjoUMlETKmEFfcm61BqbO5umYK3b0ue/JiBEp3/byhCxucPi0ZNOsZse8wJiUxVVNZzhikIR0eyGXLYyYnxqilERrQZJojpyGTbN9XnxTyvZZzXMnpvnSATi70uW2m7p816szTp3dymMHIw6eSHnsaEYiurzl9iHDwQKnLzS4sCJZWktYamecXBYQjfixt61S13UOH3xUnV89e01j9tovIIK7o6j+X7udzhNJmh6am/vGjOjq+f4Af5PH2bOnicJwz7EjB3/5yOED/+Er9395z4HnjtIfxCAkg5HiqeMBO7eu8bLrE5I0Ik0VxmqsFWgMJ8+HHF8y7NnWYessNKIatUCj0Dx+RHF+bcjUVMz1ew1X74zo9mqcXhSEOiGxirOrAWcXDZ1YoLVmy0zKhVXD8XMhsy2JQLN5LmGla7lxzxApG5xbbnDVjojnTkScWrJct2fEhRVJkgYMYsXVlyUIYen2JVtmUjbNjdg8FxNIaPcVUQRX7RSsrrb43CN1Dp0dMjfX5jW3Dnjx1RFHTm7m8YMhzxxNOboY05pp8wNv6nH97mlOnJvh5PmAs4sZF5YTTi7Bcxct3/ryC/zAmwzd3hwXVqZYWjEcPX6W5w4d3xMn2XdmxuzetGnh/h//5/987Zd/+Zef70v///jxDbX+DDsHCYLapvba2f/18MEnbjx5tv/2w4eOMUoDegNY7SQsraWcX7UcXRbML7R593cscftVTY6fXeDk+TqnLyrOXsw4eT7h6KJBN3q84xU93nJ7yMnz8+w/FnH4tGH/yYRMDrlsc8xLbzTs3iw5eb7JqQuSlY5hmBqkhNkWbJpOWeloOj3F7FSMFprZqYxalPDA/ojLtxo2zaacW6oTKMOZZcPmWcvl22K+sj8iDBXzLVAqYaEJqz3Bck+wecowN5UgJYxixUpHc+KC5uRiyu6tQ15yY8rOTRqyBgeONThy2vLsiYwTyyPe9LJVvv0VI+pqluPnZjl+VnP2YsbZpYRTi5aDi5YXXb/IT7yrw+bpWU5fmOXcUo3FVe0pTEK3N2LX7ssR4fRH7rj9RU/t3bPjv/YHw8Xbbtz7fEPh6358w0Rws/JbaHlyKu0/+d9Wzz/8vywtnryu215GBwFCSIyVGCMwxoI1SAPHL9R4+LDgyp1trtudAQGgkFKjlSRSlotLAQdOK4ZmwDW7O+zbYdg0q9k6GxKKiOV2xKnzgmPnBE8eh+PnYhZXR7S7GcMkoBaGbGpZdmxOECJjMNLs2ZoQKEtiBEkWstyRDEYBoRYIa9g0Y1iYzljpRHQGgmEasNoXbJ02LLcNJy8oakHI1jnYuSlmy/yQzfMjts6P2LnFsmur4trLAuqqybGTU3zl6ZBHn0t58kRCprp8y8vbvP2llrqa57kTMxw7qzlzMeP8UsLJRcvhJctt1y/yU9+zymXz05xZnOXiao2Vtma1K2n3MnqDjN4QDh1b4vDJtWsfOrj4ikOnFvccPbP4mRd/0zvj+z775883JL6ux9/pCL621maYWLTkPfc/fuSlP/lrH5Vvu/3wS//FPzirLy5vZbndYqVTY7UTsNpRrHZhpZ2x2k5YbmecW4MjS4JNm9b4j9+7zIuubHDqwhxnLzY5u6S5sGw5v5RyejHjYjdlZm7Iy27sccc1EMo6kYq4sFLj3JLm/IqgP4I0NdRCQ7OWMTudYoAT51M6Pdi9JaBZH2GtABHSGxh2bR2xvKbBOiqy1oNRChbLSjtmx+aA7kAhlEWYEVO1gF3bhqz1BSfOajKjmZ+StGqCKIA0FfRHkvMrknPLlgurKVE0hCDlxdf1eOn1gk1TdZZXpzh1IeLsElxYSrmwknJmBY4sW269bomf+d5Vts5McfL8HOeXGiyuBiy1JSvtjHY3Ya2X0e5ZVnpwpi04v9znl/7lKP2O1zS/XFv4QRO1rv6yxPxkSkC9PvV8Q+WSj7+zEfwzn/prbrjxJt79b/71z/3lx77wv/3RBz93xcETa3sOnunLl93QYd/2jMxo3D0qAIlFAtL9LCxaWCIJZ1dqPHBIceO+Fa65bEijBoGWhIEiDDXNuqQRSPq9gIPHa9z1aMiJiyM6acLBUyO2zK/wlpetcuMVXW69ps3xpZSlvqARDTl61tLuNLnhcsnaMGP/cUWroXnmBFy53TKMM4ZZiNYJsy04cCpC6YxApugABiPJi67pM+hLbrwiozPIOHG2xd6timYjZm1k2TzTZ7XX4YNfgMePZTx5bMju7cvcdHWH2bmYN7+4y7e/0rJva4ssmeHYmWmOnA44dd5w+mLC6YsZRy4KTq4lvOCqRf7j93bZMjPDqfNznF9usLQWsNwRrHYM7V5COwd3F873JBfbhluuXuJH37IoAyH3nDl9em+nl91em95bb7VmP/exj/01f/qn73++IbPh4+9kBP/whz+CkTMqZOn/PHri3L/7yiOH1ckLIy52Fac6cNVlF/nlH73IC/Y2OL88y0q74SO5ZqWjWe3AaidzUlg3ZakNp1YFuj7kJdev8B2vjNm7uclab4qLK3UWV0KW2oKVtqMIq11DZ2DojCz9Ycr8VMKuLQYQRIHl9MUAISN2b1bs3W7ZvrnPhdURTxxqccuVlkZ9lacPz9FqxsRxwPysYTCEa3cNef8XZrj6spTRyLIwLUmyAa1axDPHh9SDJi+8KuXJozEXlkN2zEfs3Qa7tsYolXB6CcLAIoRl95aU2ZakO4jo9QM6/YCVjmJlDZbbhpV2xlI743wblocZu3b0+I5XLfGSazS1YIpzS1MsrdZYWtMsdwRrbcOaj9xrXRe5L/Qk59cybr36Aj//wytcvm2KiyvTXFyps7Q2Q6r3ZlF908+95uXbf+aJZ5ay133T255v6Kx7/J0C+HPPPUetXqufPn1615NPPPOuleWLP3v85BlWuobVjmW5C+e6kpPtjJsvv8gv/fASN13e4OLqDMtrDVa7OV1xIG93DWvdlNWu03wvtAVnexZEj7e/vM2bX2S4fFuNOG6w2q6x1gtpdxWrPUG3LxiOLHFqyTJQ0hIFUI8sM1OWzXMJOhhy5FzMU4cjTNrkjbfH6GCNR/ZPs2cbfOrBlJffEHGxPaCmFWmWMDcLaRKgg5Tl5QYvu7nDp+5vsXcbPHxoRECDN7zIkIoBTx3JOHa6hpYhW2Y1s01BPRKEoUAJSA3EiWUYQ7dvWesZun3DWt+w3LMMsozdO/u8+Y42b39pDKbF8poD6HI7cMGgDWvdjHYvZa2bsdazrPbhfFdxsZNxy5UX+IUfWeTaXQ0urMyytNZkZa3G0lrA2UXLzNw2dmzf8u937Lrmz7dv33FyNBwOrrzq6ucbSsXj7wzAF88/x8KWhfDAs0e//5n9h3/zwYceF91uXxoD3YGh4y/cak9woac43U247YqL/MIPLHPzlTWWVmdYajdZ7US0uyGrXc1aV9DuWtq9jLVuSrtnWO1ZLnYF59qG2Zk+33Rrlxdfk7J7i2KqHtDp1ogCCSji1CeuFvpDQBhmW0MOnbEYG3Pnw01G/TpX7Ah5yY19ErPGPY/O8MIrAw6d79FeneKOG/t87pGILXOW/Scs/+xtHfYfj9gyJ7nrUcVLrlWs9DscPTXHC6+KueepAemowYuvC9l32ZBB2uOzjyjIBEdOa6YaGi2gP5AYK8iMJUkBadChod2zNFsJl20b8dJr+3zTLSnzzRoXVqZZXquz2nHnZrUjaPeg3U3p9FLWeoZ237DSl5zvCpa6GbdffZGf/aFFbtxT4+LqLKvtJmvdiNVOyFpP0+0L4gSUjsyefTfYnZdd/mPbd+77w7XVpfjmF1zzfEMK+DsC8OEwkf3+4C2f+ewnr5htZr/40MOPBv0hJCmM4ozByNAbeNowsKz1BRf7itPtjBdfc4H3/NASt1westadYnG1RbtXY63rLkK7q2j3oduzdPopnV5Gb2Bo9y2LPcFiD5JsxE1XDtg6l9HrW950x4g9Ww1pJtHSEidw9xM1Tl6ssW025ekjNTANrtmpuPlqQ1Tr88ihPotLTa7f02RqZpX7nwy47coay/01Vlen2LrV8uB+xT98TY+H9mt2bg5Y6rVZXZnj5mv73P90xlx9huuv6HGx3ebBZ2eo6ya3Xm25atcQZI8njgk2zyVcWEy454mAYaKQEjJj2bMt5pvuiOn2FNtnDTdfCXHccPStHbHWC+j0Fe2epNODTj+j08vo9jMfPCwrA8mZjqA9iHnJVYv8Xz+4wi1X1ji/PMNqp0G7F9HpBXT6mk5f0R8KhjEMhhndfsLNN9+WbNtS/zeve+2bDodR7eNSBeb5xtbzXskcDPqk6fB7n33m8V85fuzI3LFklUBL6pFASIsFjHEXMTPCleatRYgMKRQPHdrCT/5+wNtessJ3vmaFvTtizi9PEYV16lFIIwpo1jXduqQ1CJhuavpDJ4NtGRkGI0t3GLGyWOP0KUucGs6cT4kiCwhCZdFS0B8oBAFpX/OCPYJ92y27dvQZZV0+/ZDiwOFZXn9LxM3XrvK+T1tC0WDPjj5P3q/YMaNYmOpTU3XiJOBiF5o1zc4tgscPxNx8VZ1XvnCJP/rEgDBo8brbLUHU5/MPxnzqgSbPHqtz+fYGe7ZlbJqN2buQcMOeDKUMWlnA0ogiNs1ExElAtx/y9KGA3lDTHyh6Q0lvAL2hpdd33707yOgNLJ2BpT2Axb7i/KqlMd3mx9+0yD94ccyNe5ucXZqi3a3T6UV0+wG9gaI/kgxjwSiGUQxpBiB58snHgs7uzb8yPb1l5YUvvPlf9fv9P2o0Gv/zAnw06gPiBw8fePA9zzxx9xxJh0BrKPwPAqwEa7FYrM01E4sUFiUyQiV5+vACjz3X4NDZi7ztpT1eet2QmdYUK+0GzU6NqUFIr6/p+os9GGr6I81wZBnGhjixJIklzdwRpyHWgFSCQAtqoWCmJZhtwdYFw84tfRZm23zmEbj3sQBppnn9LQEvuKbLfc8mxMMpXvICQXsw4OJykxdfZViY6VPXEcNUsdhJUEbwgqs0jdaIRw/WeMXN09xxU5dHDyqw09xyXcgPfMsKn3s85q6Hmuw/WWPXJsXWuTqzrQbTLahHEGiLkmAs7D8myDJBkgriFEYJ7juO3Co4HBn6Q0N/ZOgNoDOCxZ5ksQdDM+S1L1zhLS9t892vsyRJi/NLLTr9Gt1+SKev6Q00vaGkP5QMRzCMLaPYkKQGYyFLDM8ePMPxU5+eW1od/ec3vO4Vutft/36z9fyB/HkDeDxcQYrsB84c+9J7Th++e3Mz7BMsBCSZJU0tiRJIKRBCIIQCIXzUBildFVEpS6Ayalqy1K/zgS/s5POPdXj5DWt8z2vXuGFvj/mZBstrDbqDiP4g8MBW7ogFo0SSpII0dauE8265pFJrqIXQqBvmWgk7NvdJ6XHoTMIH76lx9FSTmajObddpXnxjhwefa3PnV6a4/coau7b1ef8XBEpETLUS1nojjAUlYNNUn043xKR13vLyi3zgUw32Xajx5tv7xMky9zw1T5LVeNF1m3nzbR2uvKzN5x/t8+SpBk8cC9k5J5mbEjQiQRi4m1AKEMJiLBhjSVJ/syaWUeJu5GEMgxi6Q8HqSLDSBaGHvOCqNb7nm9Z42XUZC62659p1eoOQ3iDwwFb0BpL+SDIY5TeOYZRkxIkh9cl4ksH55RXO/MWdmzsD+563vPFl9vzF1T/Yunn2fw6AJxd+kbXhLobLf/l9w8HwF1fPPbcQqh5zUzUGcUqcSOJEECcSpUBJB3QplQO3yN8zaGUIlCXUhpoWrA4VK+1ZPnR3kwee7vGSm9b4ntet8cJ9beazOmka0R/W6A0CBiNNnCiSVJJmkswIjBXF6hCFhkYtJQpjwmDEmeURn3hYcvh0yLHTsygTsW9byLV7Fbdc00FFizx1pMWOmQbXXw5bN62y0pnihh2S1Fg+81DEqC+Zaaa84UVDPn5PwsnzLa6+IuDc2pBnjgZctmWWm/Yuct+TXe5/RjCKQ67ZO8c1l0Vcs7PLkXMrHD4DDx1ocOhok4YWRFrSjCy1AKR0K5y17mZNM4hTiDNBbyToDAWdBGKTYuyQW6/s8D3f1OHlN2Rsm4sYDKdZbtfo9iN6w5C+B3Z/qBiMBP1hBdxxxig2xIk7ksSSZPibSXB2uc3vf+ALmx84cPEXw2Yz/enf+sT79h++wJ/95+//+wvwf/2e30BvvovsiP1uE5/4tVH77EykImZaNYJAEIw0o5FipBUjZdFKoqRAKeGepXKvlUGpjEALwsAQBpYosDTCjJmaoDsKWO3M8uF7p/jCE0O2zPZ516vaXHPZkOGgx/V7LZdtVYySgCxTZEZic3BLQ6AzTlywHDsvWBsYPnZfgzNLs9g4YLam2D6v2b1Vc/kOuH5fByOX+N2PN1lZmeb2azTX72vz+ScEIg3YPCtpNlL6SYi0EqxE6ZD2UHBhRXCdbfCqW7p8+dE62xdCbr9+jn/yLUv84ae6PHSwSW8YsLzWYu/2Oldv6/Oiq7p82yu6nF1Z4WP3RSz3I06cCzhzJiRQAiklAoGxlsxAYixZapidT7jxuj6jUcI1l414x6tGbJ5WzLUikqTGucUavUHIYBTQH2oGoxzYksFIMBgJT0sMozhjOHLAHiVulYhTt1KMEhjGgn6iOHWmwyPHHli46vKtv/aSmzcnf/afX/CnKyd/nrld7/77B/Aff88HufLV7xLf+2/UO7e3nv6973j5E41rd9cRwiKEoxtaGgKl0YlFK4XW1ttFJUqCVgKtJNpz4yAwhDpzETyw1BNLI7ZM1zJm64J+LOnGTY6dbvILfzoHJkWkKbfc2Gfv1pg0BWMN1roijhQCqQQ6CDl4MmT/4RrNmqYVShYagk3zks1zmu2bFLu3ZVy9e41MLPPrH5nixMkZbr8q4Jo9GYO0y1eeipipB8xPW2ZaMY26o0LGSNpDxUrPstzOaPfqvOz6NR7e3+fAScXMVI0XXTfDD71lmd/4KDx6uElvYFnrai6sTLF1ocHm2SG754f863f2mWq0efIYHDwlCQKLUhYhDGDd/1tIU9izNeMlN6RkSUCSRljbYBgHnF9yoB6MNMNYFfRtEAuGHtzDGEZxJWrHpshdcoCPUhgmMEoEvVjQjgXLsaDfi4k7j8685Zb53/vVixfSpeQnP7R8YtbO7/5f/v4A/F+95wPs2TqtHvjkH7/98Mm19/3xg2u1Jw5M8ws/2uHKnY5qlFE5RMeGQCmCWKGVItASrSShlg7YWrgyeyAZBZIozhgllnpiGCWGOLZMpTBKDKMU4lQwTCSjLCLJahw43OSJA5BZi4O248aBhFA5z0crguu3wVQdppuS2ZZifkazeQ52bR2xbdMaiV3h1z8yzZGj09x8ueLynZJ9O1f54jMpF5anuWWvZHbKUAsHRDLCKkGaSYS1pFnMaq/GheWAm6+p84Krutz3aI0ts4JGrcXNVxl+/O3L/NpHDc+cabHWM6x1FYurmoWZJrNTdWanpplqJGxqJuy+OSYKUgKdolSGFC6ZsLibKkkUFxc1SapIUkWcKEaJf44lo0QyiiXDWDKKRRGJRz6RdOe1PL+jpHKkMEwEwwT6saCdSFZHltFwyAt2L/OffuQir772bGNttf4+pX/dyGj3R5aP/242v+eHv/EB/rO/+mfMtEJ18uyFd5w4fu6PHn32ZE21Zvj0Qw6sP/NDa1y9w6BV5gCuMrQOCHRAoDWBtgSxItCWkbbeQyIYxoIoEIxCRZxIl80nljjNnCqSVo4M0sySZYbM4Pi2oQC3ELgVQkIQQKQFtUjQiCTNhmK6IZmdFmyeS9m9tU+rucZHvhxzz1NzrC1NceMuxe5tAVdeNiQTa3zmoQbNQLNpVtFqDHnqCK7j/jJLf6S46cqEG/dZzp/LWFwNGQwbvPG2Ll96csChM4pmXRKFU9xwueFnvm+Zu58Z8PG7F1juWHZvzlhta2amFNPNgFYjoFm31CJDFBoinaGVLRJxcFHcOS0FqZGkmSBNBUkqiVNBkkhGiVNeXP5jiWOKBDLOA0cereOckvionQr6iaCXCNqJoDMy2KTPzbtW+OkfXOINt0GnO0N/eLQmotofM6z9YyM2/cWJZ/97tvu67/3GBnhDG9ltt7/z7Okzv3X88MnatqZmNZF0mOKvv6KIY8W3v6rDO1/dYX4qoavrBDok0JkHeUYQaMJYEWpFFLhoE4X+ohSHIkkhTqRTENJS9kszQ5Y5dSGzXinxaokQwikyUqC1INSCKJTUIkmzLphqWGZahi1zIzbNdkntGh/6kuQPPzXP5lqNG3cJdm0L2LPdsHvbKh/5imVlpcY1WxWzU9BqJFw4Lrm4GhHudUv4pmnJzAwcOmZZ7RjOL9W4ck+N19zS5RP31phvQRSGKDnDDfsEP/zmiwTyIn993yzPnqmxpZOweSZluqlo1RWNuqQeaaIQogC0tg7kPikvQI7wNQXIMkGa4YEOSWaJU0iSzAUFD+gkNcSpIU6ocG0vQaaCUQq9RNJJBN0EBsOEqbDDd3zzEu98ZY/XvlCw1m3RH9QYxhHDtVM1wubvBfW6FjL8M1yc+cYE+J9+8K/IMvN99z34zH85efzk1EJL0Y8tShikULRlk888rPjKMzXOry7xz97eY24qYRjV6fQzAp0RBgFhnBFqTRTkS6skTlwpPU4EcepAnviolKZOrsoypyQY4xIuY2zew+nB7QCulPC83gGkFkGjZmjVU2ZaKZtmBizMrvHlAzF/fGedg8dm2DMdsG8r7NwasnMLXL2rQz/t8OD+KeoqYNOsYqYFM60Rs9MpYagRwt1cg1HISidhrW9p91Iurobs2trijmsucudDfQ6emaIRJQQqRIhp9u1Q/KPXLXHr1Rf54ztbPPj0DMs9zeaplJlGSqMmqdcUUSCIAkkQuFxFKbx86FBucT2sxlAAPc2MX928tJga0swQp84CkKS2WBHj1Kkyw1QwSgSDFLqJpJtBb2AwyYD5eocf+/Zl/vfvHFALI9Y6DfrDGsNRxGAU0h8GdJfOTtVa4a9PL1wfPvrAJ/7wlju+5RsP4O12BynlD/7Zn3/kPYvnz8w36xIVWw8qECJDC0l7qk57qPkvfx6y/8gKb3lFj1e9oMOWhRGdbp3BKCQMQqJQEyf5oQqAJ4kkTt2ym6Re087w0h8+ckuMpQS3K1L6yA1auYJJGFhqoaFeS2nVUmanRmxb6HCh3ec3PxbwmYfnWFltcsUmwa7Ngh2bQ3ZuFuzdPkSHa3zgHs3RU02u2iKZbUmmmxlSjjizaIm0RAqwVhAnmt2bOzxERqevWO1YLqzUuWpnjW97VZu/+HzI8QsRgU4QIsDYJkkquWXvKru/q8NnHu3z/s/M8cjxJjtmBQvNjGYtoxY62hYGjv5phUucpSg8GXnBzFic0pI5wOcgTzNH6ZyOTgXYvniUOWD3E0k3hX5iSHsxOxc6vPKWNd768h5vvNUiabK8WmcUO2C7ftiA/ihgGCuWTp+fJ7j8F+94xbeqXq/7+81m6xsH4J1OhyDQ/+TBB+5/z7EjBzfXaxJXdHcRVOD1bGHQQtCRId3RLB+4O+LupzrcfHWH73rtgDffscbCTER/6E5SkgTEaUCc6CJRSlOnZSdZzi0lWSbIjCi5thEUrMS6G0x65cYViwxhYIjCjHqU0qqPWJjpMUgGfP4pywe/OM2DT88wGwbcsMOybU6yZT5k+ybJzi0xl+9Y5cnjAz72pU1MK82macFUUzDVSGj3Mz71lRqt0N3cxsJgpHnLS0Z88gHniWn3DBdXNTs3t3jbS3s8eKDL/kMhzShFSeFAbhoMY8f1/9Fr2ly17SIfuLvD/c/OcHK1ztYpwXTN0ggNNW0IA6c6KeluZCnyArGDuvFUzZhyhUs90F2AgCQTJFkJ7GEq6KWCfobLeeKYZr3Pd7x+le98XZtbrjJsng3o9eusdSPiOKo0ewcMR5rBSNMfKroDydPPHNxsg6+858V3vMS02533Tk//7TdO/K0C/OjJZfZeNsKk2fc+89SDv/TIQ/fOD3pdolCSZcZTBEEeQoWwSAmBNIRS0g2anO5EnH2gyQNP9fiLGzu84zV93vCSIfMzIaOR81rEaUCSBIUikGaKNJWkRpJlJcCN9ZHblJ6yQpaUzsehtSEMMqIwoR7FtOoDMgZ87lHJn35hhqePTSOSiD2zlm0zloUZxaa5kK0Lku2bEnZt7XBqsctvf7xJOqqzc6dgpqWZasJUI0EEMZ1Bk5mWRQiBtZCkkrlIkZqUbhLS7WesdhRnFutcd3mLH/nWNX7xzyJOLDbRKvE3hiZNawxjydb5iFuu6HDj5T2eOXGGD36xzp2PzHC2XacZKVohNANLqC2BAi1dOV+IcXedAaxxN11mBJmFNBNOP88EceaKRINMMMhgmFmSNMXEMfO1Pm987Rrvem2Xl9+QMlXTJGmTlbWIUeyu0ygOGMWaYawduGPlVJpEEieS5bU17rrrC5u7veyX7rjj9vShRy/899tuFgix+e8mwLv9AYeON976+FP3/cbZI5+fiocWqZSrOGrhTp612BzcQnhPCQTKEklBVwYMUsXFUcRfP9Dgnqf7vOiuHv/827tcu6vD5hnFlNTESUicBqSpLkDuwC3JjOvRdL4sUZTfXeQ2TnNXBq1TojAlUDGdQcJiJ+G/fqTGsYuzPLp/BmtC5uuCzQuWhWnB/JRifiZgy7xk63zKjk195mdW+cxjhkeeneHGnYLZlqTVkEw1DM16jAhGRJFGO7eBqzJmksFIMxgmpEbQHRi6PctKJ+D88hQvvrrHHdet8YG7atRXFFomDpBWk2YhceJ6PBdmaty6r8etV/R46JVnObEo+eM7Z7i41uD0ckSoJM1AEOY0TLrEswjkOVXBRfLUClIDiRGMMhimEBsLWQppglIjdswOuGG3ux63XZsxVdekaZN2L2IUhySJZpS4VXaUBIxiJ0eOYkUcSy8CCLIMpJQsXuzwla/89fz1V/V+47abX7Gapb2P/W1i8m8N4M89d4grr9yhfunX33/Fg48dmDKjHpfvaJJlxunMCgKdg80iCpA7HhykEEqoa8MgFfSCkEEasBw3uPORab787IBmNOIfv6nNZfMpu7cPePH1XbRwLWJCOLriqpLOK+1WCw9uLEI6g9YosVhSkCnPHJM8fEDziQdbPHOyRZw2aGnFprplrmmZbVing09p5qY18zOCrXMp2zcN2LZplXueHvG7n9jMthnNpimYaiqmmoJWI6Uejfjyc4phrAmaDlTWCuJUUtOKF1414IGnZpzxaZCx1glYWou4sDTLj7z5AqeXlnng8U0EEhAJBkhT7aOjpDfQzLZqzEw1ueOqPq+8sc93vXqRA6cMn3ywxoMH6jx3tEkqXIW4nyiUkN7fU008fU3AGlJjscYQiIzpMKZGwh0399i7bcjOhYTvecOIeqho1jRx0qDdDYmTgCTRfmVVXtHShc4eJ15nT1SRI1lAKcHOLQG7trS5ePyBqWGnc8X1t36POnH8SLZ7z76/OwB/dv8zTM9Oh48++vD3b5m1/6Up11DNgGHszFEuoRNo7U6mJXcE+kQvtQRSoJUlzCyREjQyGGrBINP+qNHtZvzSB2axacKWTUOu2zVkfjrlHa8ZsGtzTJIIz7clVCI3nn9KaRBS8OG76zx5pInQmhNnG5y50KBWV0xHgpmmZapmmKpBqy6YbiimWorZlmZ+BhZmUrbMD9mxuUNm1/jwl6YY9JpcudMy1VC0GpJW3dCqpQRBzGceqDHqS4LNrls0pyjNuuKNLxpw72OG3kjSG2R0+pq1rub8coNr97Z4x8s7PPpMgxMrLZQ0QOL5ckCSOTVpGEt6Q027F9KqN2jWR1y7c8jtVw85dbHN8XNr6CDjiaOav/hiA6GUA/fk/EFrAAPWksQZu7ekvOs1AxamMq7ebdkyD1kaMIpbpKnrmkpSd6SpJskUSaJIMg/wRBL7/MgpXV5zT4W3PbskOAwE/eEUTzybsHOv+i+xfKS/7/Jdf3j40LPxFVde93cD4CdOnOL8+cWrLpw/85vPPPWonJnSDlx+OZR+iSwyPZ/kSQkydRxRK4tOHQdMtMvk6xm0MkucCUZGMMoCRiYgNbDYm+KLTxosGX/1oBvZgDX+yKt4XiLzjkQhJFIp0kQjjSbQklYEezdZmoGhERkaETQiQbMuadUVUw3NdEsyOwXz0ymbZkds39QlY5X/+pc17ntqM/vmYbbho3dD0qqnNOoxzcaAer1BpCRKeg6OowNJEjAcCAajjO5I0RsaugPjWuaaIacvTPOy60b8+Dsv8Ct/oTm5FiGEwdoEk1mSNCBOJMOR82i3BppmLaRRr9GIGtSihFY95pYrY8Ig4bYrU77ntX20Sn0RyCCEHSflntIZIxFCEgUKCBmONMur2vl2sjzncc+OHjrDWpK6XChP+nNVq3x2BSYn3eZ0DboDSWYsx7/8sLw9k79p0sGXhsPh038b2Px/DfC7P/dR5uaC+oHnjrx9/7OHhNYKqZwGnVs3xx6iVDFymS5J80qidS1YWZ7RuyMzltQIUmNJPEdMjSSxksxoEhORedlr4le5hFKAFsJVKhXU6paattRURhRApKEWWuqRoB5KGnVJo6YdwJuCmZZhbiplfmbE5rke2zcv87ufMLz/zi1cNqNYaBmmmopWQ9FsQKOe0aonnFs2HDkXUQud/RZyp59gGGv2bjVsXRjSGYYMhtZHcclaV9Oq12g1Zvie117k6Lnz/N7HdqClxmLITObORaoZxYpB7ExR/ZqkMdTUo4B6lNHuuhwjDDJfMMvQ0jVKSOnK+cIfzrri3fbWrYRt412WxuU1Lr8pc5208pxmwilZXrJ1gBdevnVqTJrbkjPH9XM93lj3nrGCJ594Siyv9N++eduuIx/8878cfMe7vu35BfhNV8bhavvUu5U59+5GFEslJHEKqbSYDDJpMcYiMuMGOhR0wdEW5TP8zORghsBLVZmXr7K8o8efiCwvVlgwVhSJUpVzg7+JPM/X0qAlaOWUhUAJAm2dbqwFtUhSCyX1SFGvKVp1SathmW5mzLRS5qZGLMz22bVlmQefG/GBu7czW4vY0jJMNYQDd13SrBmatZRWY8SDB+GJAw2u2GQ97y3L5oOR4rarLVfuGvDQ0zP0R5bBMKM30B7kAY1anXpthu94xQpPPHeRB/ZvBaswJnM3fWpJE1v4SQYjTWNoqdcUtdAQhQFRmBFpg9YZga74fqRFSmcNRlgEJZ8rk3Phz28OctdQUbw2woNcFKAuX08eeBmXoj6RjRWcLGkK5y525Ur/9P85u1wLg6j1c0D8vAH8/HJfDtP+T6+c/G//KrBnwkZt2i09OGqQCZBGkAmDFJJMWIRxJzaTFiUtmRLozPooDSaD1LhmWpOfBEtRiXTJUClvWWtLjZvxFVdOrBRK+oqlT3idactV/6JQUYsU9UjQqAtadctUI2O6mTLTGjE/PWD7plUeODjgp/9oCydPz3D5gmGmAVN1RbOuaNagWcuo1xLCYEh7aFFSESiLlOUny4GRpCFT9YR+auiP3P48/WFGty9p1xWNbkQtarFna8LPfH+b//A+yVf2b8GiMNaQZYY0S30pXTGMFYNIUh8paqEkCi1RqIi0IQic3q+V9cY2dx2UpylC2HUNusbnMcaUUT33zWdGYIp6g1OGUuPUERehS2BnmXs/rQA7D1qmCGTOFjBKDM88fSq88vrav/mln/re4N0/3v73Qkz/jcv5f2OAd9ptjIl/7o/+6p7/9bEnztZedZ0mSUvjEtaBKzMgjcR4YCsP5kxaMmUxmSVT7qJr4382FB3jxTJmbBmtvQ00P5gAeFkt9eD2TRJKuVygsNtq52kJA0UtciMZ6pGlWTO0GhlTjYTpVszc1IDtm9Z44ECf//CHCxw8OcfuOaewtOqSZkO66F23NGoZjVpCksX8yV0tpFIE0kmhRQS3wi/rAf/o9at89pGYbhzR9wDvDRTdnqIdaWphRBRMcfVlKT/7A8v81B8K7n96C8ZKMuPK6knqjGaj2DCqObtrFAlqgSAKXWUz1Lao2GplkMqtnFJYRP5cjRA2BzlFRM8nDJj8tTeuZb6YlmWi9Ln49/JVeTJiGw9qU3ltresB2LY54vZ9z9Uunrj7X+o9bxL9XvcnG3/DSuffGOCHDh/FGHvH4f2P1QdriudO1phqiiJqCuVOjpQU1URpBEZalLWl+UnZype1Y74RdyKtT0hEEbGND9nVyJ0/coBLAUK6+SGyEr21zn0nkiCQzr8RCmqRm3nSiDKadQfuqWbMzNSATTNtHjzQ56ffO8czJxbYOSuYb1aoSU3TrDn/Sr2WUo9igmDEmeVZAiVQ0nhZrkwys0ySpopts5Y0TegkNQa+DWwwzOgOJfW+ohYGhEGNQE9zzc6Un/0ni/zbP4AHnt1MZqQDeGZJ0sxHcsMoMtRiyTBUBQULAgi0o2jOp2LREqS0PhDYwpg1gXFHV8hXTQ9yf02ygkf76G1FsfJWAZ35SJ3nZfl1dRVV328rnItzy3yAyiQPPri//iJ9zR3/b3ac+BsB/POfv5MotI0PffiToTR9dm6JkFK5nkNfGrYWpL/7jcyTq9K2aaQls8Ino9advBzoNge19dXPCh3xy6a9xGeTojRRlTxf+LK1m7Vd0hOoBRCFhnrNUo8cf27UE6YaMTPNAQuzbR45NOSnfn+Wp05sYvuMYlPTMF0XtGqSRk3RqAvqNXdzuFJ/zAP7Bb1hSE3l58Rx8LwJITOCJNU0a4oXX9/lwWem6CeOpgxGGf2BohspolARBqHnzzNce5nh53/oIj/xO3D//s0kRpIY45ulyx7MUSiJQuOid1D66LXKDzxNqShavsq7MchziVdU6CFkvlJsjHttKsCuRmtTAXfe+1oGqxLgSjp6c+ZiSLjWZ3j3Z8LrX/i6xuc+d2f/da97/f94gJ8/d4ItW3fMfOZTH//tKEhf0awLgkD5xA3vYMsVgzJiWQvKVIBuvU9E+epmEQmqoB5/ttYWkRvPvYuLIZyhSEgPbm8yUgXAXWEh0C6ShQGEgaEWeoNVlFH39KJVHzHdGjDb6vD44RE/9fuzPHF8M1tnNJsahuk6NGuCZl3RqCsaRfTOqEUprcaQe54IWWvXmJ0ty+Q5YPLlPMkUm+cVr31Bj3seNq6LJjYVkEtqgaQWaNcIoutIabj2Mst7fugiP/E7lvsPbiYxmiR3AGa2iORRIgt3YahdZ1SgBVoKlM7PDcXnK25C8rK+LaCeF4QmD1N5rqoi1QhdAjz3v9gK9SkbvR1uJMNRRppK1DDFMHjFzKnjf/CWb33rjx47dmJt797d/2MBvrp8nm57+SfWVo5/p7KrzE4FZQTIS8HFxbRFObjkcZWTYUv6UnJrUUTv3AyUO+DGIrc/K3lFLvdZOD5ZeryVKh2DWuH8GdoSBK6xuBYaamFGvZbSqCU0ayNajSFz020efW7Eu39ngcePbmHzTMDmRsZ0w3pw++hdk9QjF/1rUUojiknNiG4cIZR0N33F7JRTrcw4SS1JAprh0NkF4hqzOciHGf3QRfAolL75I9+A1nLDHssv/ugF/o/fMtx/YAuJ0YwyQZzlrWSCWmKIAksYCEJt/OrlWv6UX9GKxm5P6WQlf3F+obHTXRjWrB3PhdwqbMdopDHle9VV2lSAbYt/1P3OzGSkmZugIIRgaeUCRhz5zst2PXkkSZJ/+z80gg+7J4ma23bfc+d/vzHun2OmJTC2THBFBdz52ci/hM359NgdX+Vz49GgoCLGL4v5CbaVfzyP2tWksrjZXIeO8smU1pZAOWCH2hbuwVqQed6cUK+NmJ3qM93s8sD+lJ/83QUeO7qFTdOaTfWM6Zql5cFdrzk5MQd3PcqohSlTzZj9xy13P9oklJJAuc6a6l43uSqUZIrUaF51S8IVl/c4crLOpoabNzKM3TyT/tBHYa3QOvCyqtOur98NP//DS/zb3zF86ZlNDJM6o0wSp5ZG6ihLFOBArvPVyxS9rVJlxQqnpKgAXIxfywm+UoK8EnjGVtsKxcyv6TqqWVkVKr/G3Vc2t8qQZXD46FmCex+68cf+6Q/t3n/o9Ilrr9z5tw/wU2cusDKY2TM48/CvCrP01kh3UY2AzJgi6atArxhfkGvTxtpCdrKVCF58acPYn08uidV/252MSuSugltYpMplQQcGrXzU1m7ERBAYosAQhSm1MKUWxTRqI+am+6x2+9z7NPz8n27lycMLLHhwz9QtrbqgWROFVu6UF+Oid+gAXo9GxFnGcFCjptxNJnPA5N8hl9wySZpqx+X1iFFsGSSiAnBDGGaEgSYIJFoplAwKgCPgpr2Cn//RVX7pz1LuPzDP2fYUw6ZkJrO0UkvNTxyIAuu1/1xJsUX0zqlKDvDi8/oPXcW5rV6HMaDa8WheAX4ewDYCOHbi3ywudLkK9Nd6tM6svPWBrzyQvfZVL/iXy4vnj89v2vq3C/B++wRBUL/9/Nnn3r6yeJhGLSRJM6+N+irY5Ie2AlOhKRRKSA5mW742ZSVyEuDlY6wcUVwEN+4hlyitpyfWuwZd5NbaEGhDWNhjHbij0IN7rsfi6oD3/EmDj31lE0u9WTZNSzbVPLhrjnc3fGJZjySNyPoI7rh3LYqBmC88HrKahMxHjPmxEdUL7Xh4nGimIs1rbu7zwMGYbhIxnRjfxW4IR86rHmoHcK0sSgYI6Qo0WLjmMsmv/PMOn3xgwM+9dwunl2YZzGhmQkErNTRSiBI3ejlUbqBRkCeaUhRJcP5cTdSLG1OUAC+AXrlOsJ5Xbwz4iRtiDC/jUT0HeGokTzxziMv3bH37/EzjT7q9wfGvF7dfF8DTpIvSzSvPn7jnX6Tdx6jXBEK4okEu/lepyFjGXeHfRVHGisqXFlhjK4AWlZM2CfCcd1OJ3o6T5iqA9JVRJ4M5YDu7rvEtcBlhkFILE6IwoVUfoHWfe57I+INPTfGJ+zYTmyk2TwkWao6WOAkw18mVP4SP3NXonaD1iC8/O0M/1mxrWH/DTUZwn2ga59+oBYo7rh2QGgfwQSIY5mpI7EauBTqXOJUHoqs+OrAJFmYE3/nqHq3oLO/91IB7n53nfFKnX5NMpZamtg7k2uchyvq8xHqQ+8Dg85fcjyUpo/jkjoLjEXicdjAJ7krAWg/26r9V7TiqyIxW8dm7n+LyfVf+i7d988seW+v0D81Mfe2RcF8T4KPeEXoXP4IOZ7Yzeu6VregsoWr6Rt6yZJsDO6cZVOS8MephxTogT94MJbDF+LpVANtOUBNbJLhKGg9w4z3fHtzKeTGiICEME2pBTKMxJAz7/Omdml/475s5sjhHENXY2hLMRRlTkaUZQdN32NcjV+2s+YKQ869kfiVw9GSpk9GLQ0KlCKUtEsz8s+fnI/dfpJkkTgPqwZCtMwPW+i0GifATolyuEASZl/mUlztVoV+XiatzPr715T1uu26Rn//jIe//zCZW0ib9KKAZSKa08+BEGkKveuVGt3ylyW/Iop6Rn+sNAD4G9sp1s5PPY4DeAPD+xEwW8DKbg1uQZoozJzp8/N4DrzzdzrYvLrUPPb7/FC+89rL/lxHcZjQX3rhn0H7id4edJ6lFFikT5yirjDyz+fMkiK3r5t7ofSrgL06OFV/14+QlZScH2pJ3e76tpEFWI7fKHMiDlFA7ShKFI6JgwPELKb/3ySYf/dI8Ry/MMtUImKvBbJTRiqwvvefglh7csigK1Tz3jkJ340w1R3zky5pDJ+rUlHAVw1xBKVOocoyDdTw8STXX7IZvua3LH3x6nl5DM5VYhoklin3eoIwbgKRyZSgHeVC5Vm5V2LUg+cl/2OfGvaf5nU/McfT8NCtpnX6gaSpBwwM9lNbdOF5lKqN4aWUWwm8KU5UQJyEy8UNBQSijuWE8sucUZCOw55S1ALhxnUUJmi8+cJBX3nHd737rt73sTReXO1+TqnxVgFs7AGoknS/sNIMH90m7RBA0ECJFZQZddM+I0q9Q0A5RicpiPX2pvDceATYGuBAlPcmBXdITP23WeyyUzKN3RqBS17kTpETRiFCP6GYxv/mhkPd+citnlmcwqs7ctGIutEyHhoaP3I2ifC+9T8VTE6+dF+AOXfVylMQcOh3RiyNmI6/i5EWnXJWoXOTCk5JoppqavTtjVDSkG7cYhIK6n0ESenoVeIqic9VDqEskr4pN031+5K193v6q87z3kx1+78PzLA2aDHSNmlY0tKCuLFFqXTSXjqpoWcqa+apYRHLG6eHGmKmAfgPwrgd0RXioKmz+SH2OFxtBiuTkhQ6fvO/ZfUEU7PyuN992vDeMadbCvxnAh92LCDW9KU0bHxqsPhBIqQi0s1kqKcmUB7gRRRdN0eBrxbqI7UBdqURWo3c1Sa0CGwrZyFW7rU8qJ6N3OR1LSQdurTLCIKEWxoRBTHsY8+UnJX965xQf/tI8w6xFGIbMh4KZ0NAMLY3I0ghLcNciSRRJIk9NXGHIKxMe4GHgKp/HzlnufaRBnARETbsuwcwfuUSaW1HjRBEEmtfe1uUDn+tx8HSTQc2NZhgFljCFIDEEsUH5eY2ORshyuE8OcOs1diNpRJotMwP+j+/oc+2uEe+/s8XD+6dZHDQZqpAg0NS0oC4hkl5GzeVVmbcUMnawEdA3ULnGgV7S0Wokz19XQW+s8NZn30ZnBIl1FunYCIwO+KvPPxF831tu/dDKytoLFld6i3/jCF5rtWR/9cDtF07cNS1iQRQapEgKcOc+4ZyeGOtfA9bIDYCeA1lU7vBK581GkXsM4BVjkDBl9JbGy4FuOpZSWUFHtE5o9xLue1rwR5+e4s5Hp1lpt5D1Gq26YiawTIWGRmBphJZ6iI/aLnLXI0ktVNRCQS3EO/SMB7dxK0OYovSI507DmXbNFVY8vx0vnBQB3PdBesupkcSxZsuU4MrLBjx1MqWfBIz8jO8wdj2rgco8RckLNSAnfBpFfcHLkEnm/OHveu2AN7xolc8/1uV9n5ni4f1TLHcbtGVIL9SEShBKQSRd66CWbpc6JSoRXXjbL1ySl9vKiyrYC549FsXFGOjNBMDzHtHYCtcH4P+70Bj+5MP3TCcZt99845Wf5qsMD/qqAM+GJ6JA9X9rOnq0adSw8JgYK9E5uIvI7QA/5iVmPIpXvcbjd/n4War+lFOTqjlfjAHb+OcMJTPCXM2QCYvdlHse0XzqvhYfu3eai50molYjaAVMaZgOXCdPPcDTDqiHwh/SW0497w4FUR69c4DrlDBMqYUx1iZ84dGIE+fqLMwJAmn8Mi/KRt/qxTel/TTLFINRwO4tgtfe3OejX4npJQGDRFALLGHqovgosZVVShV6NUKO0RR3lAHIVU019WjEu1494JtuW+avvtTlk/c1uOfJFhfbDQYiZBBqdKDQQhBIQSAlgbCealmnsFChiBWAb8RYqgA3FdBXV5uci2ce3AZILSQe6KmBtDBkuf+6Zy13PXK0+bZvvuO3jp04eS0w+BsB/HP3PYYWbfZOn2bXNkk60sVoBmOVB7TvYPdUpQC1740sK5FiYrkqT0kO9OKd4qTZkpZ4vu2eHbCFB7jWGaFOqNUShqOMg2fg+FnFB++a5tMPT3FxtQlBDT0V0FCSVmBpaUM9sNQDqAUO3LXAudmczVRWDuH/3HqQmwLkYeDa046cNTx1LIIg8Mu8rZTox0u85XKce6WdSjBKAm7YO+K6nT0OnGkwqAkaqSBKLCOFl/bM2DjpUoIsuUqx1Hsp0hjlpw8EDOOAen3E971xxFtevMZnH+nx559rcPxsjQNnGsRrEWmkGWqNVNKV8wEtpXNmUiahSlTqERsEp8kInq/ghrybv7RoZFBSE2vJrPHeo7wNMXPNAsZgRhmqfhYzemrmqsu/+7sX2/YPNk1vnBRcEuDZ6LDoD/r/4ld/51cX/nK5xve8acit+wZoKZBKkiWaOC672KuR3P0sygNRidrV6F0aefKBPEVMF9XE0pRRWxgP8IwocpNU0yzj/DLc9UXNkdN17n6wzpnVOkfONiGKUA1NTSua2tLUxqkIgSXSbnB8FOBBnB/SH8oDHM+5PbiDjChw0dvdWDHHFmH/8QaBHJcHC4pC6Qcvq7d584D0fY4B1+0ecOXmPk8fTemnAa1EMNIQ+pmAqgJwKQVCyrFIDuMackGDMv87MkWSBYyCkKl6zD96/YiX39jhzGqHLzwUcvRUxGcfbXB2uUY2CDBSk4QKIaVbKYT/feQVz1If2siJWKUsBtYnmjgTVl4VdY3PHtD5c2wgyRA6RaqUF1034rve2GHQe3ym0/3WH1dq9N7qr/q6AP5vf+M+0iz9zrs+328ePL7A3Y/EXL9nxCtvHXLd3pRtswlX7BmhrCSNHagzK8ky5S2VbpksOHcF4LZ6GvKPNQlu7FhC6aiIn0AbZSSZ5egpwVNHFXc92ODpYyHPHqvTGbnBMwQhaipwHfoKGtpQr+jAkc59Grlt1vnCI09LwlARhtLfALbk3kHmh+47nl8LE6yJubAiGdkIrSWhtOiKzDbp0Sl13vF+xzgNEGg2zcVINaSXBPS1cEpHUhrGtDJjFUgpqkK7H3aEcKtqHskrPZRBporxE/1RyNbZmF1bEm65fMQgHvCPj7V5+njIXQ/UeOpYjaMnaySpgkhhpcIIyVg1KId4btAqvmnuR7QU3s8i+arISTmo8ZqgzdzrxKBtxr69MTtmU67ZO+JVtwy5YW/GFTssh848Syv5Y2R66Q27NwT4ez/wGc4tddVffO4Z8eypeUZmxONHY548nPDZBxOmw5RdO2JuuCbmDbeOePXNMdYIwsBSb+EM4AgwkjRxJ7mkJnK92TgHuM0jt0FrN8dESEMSW/pD92fHT0v+7M6IfqJ4/Nkah09FLPVCRlkIOgQVoKYUoRTUFTSUpaZw48yUNx4pF7XDQLiiRxXcgST0tCQKIQrxqokrmQfaEAapr4gm1GsxF1cz7rq/RbsbMTst0F6LlxUcTD7y1bdICI1kNFIszCve8OIhn314wMl2k0EgHU3REKSWIMk1a6+xy8zJhVRnncjidxirK7/DAT3MFJlWpIEiyTRJEngpNaEZJrz8hpQ7rh3xtlcOee6U5In9AYNY8f67Ghw7H4CQ9AeaLFa+3CmxugS4HWsNyjFtS4NSIYZbRGoRxnjnaUa9kRGEBmEzXvPSEa+/dcT1V8fs3pExrWFhSmCMGyq0Z5MmHh0XSfBSdeK5T6a7r/rmrw/gxsKWueZvinhwkwgUyDoYjTEpi4OUxW7KsRXD/c9k/MXnEhZmU6wx3HxVzLteNyTzGxJtmjG88IYhzZpbjjdkSUUEd3qTlNDuC554TLPcca69B/cHfPxLNYaJYpgozp0PMUKT2AAjAtAaEWm0lIRKUJeWmrJECiJliZR1HnDtNV9dRu4w78sswK18j6YooncYGMIwN2hlRfQOwwSlYr74mOKjX2mhQu3ktjH+fekInmvhjodLkkwxHAa85SUDPvblDu//wjS9tEbT8/Ag5+FJXpSxRbeQEPmdlJ9nWeH6FYAb3wWvXSQPtCLVGp1mDugqQyk3SH+2lvKSq1NefHWCFSPe8eo+w8QVXf76SxEP7Q+pR4KljuKJZ0I6PYmY1EQ3vODORtusWV74gpiFmcw1vmSGd71uyAuuTLHG4WduBhQCcGMr+gPtqVbAcBTSj7ObGptnflNgf+TriuBnF1fZtjAz9e5f/curT62kyrWdKYwQIDVIAzbFmIyRNZxvG86vOb703EnDx7/olhebWaZnDbffFNOqubmEX1UP9EuclIK1nuLhp0I6bYXUkpGRjKx2kUlo31WhEVIjpSSQgppyWm4kDaGsgFmWM/ocyEXZ8KBdI0DeeFwFt4vw3lYb5BE8qxwpkU6wNubMUkg8qhFNS0Jf9lbelTdWxcw7eijL6yXI3UiGOAmYbSkuW4gJxZBBGjFIBXXthmDmHpK8oKVk1d4qi9+Vr5au+GPK6qkxvneypEZpmvmimPIWh5QkzVCJGzOhVYZUKTsXjF8xDNfuGhLbAVIb2m3Bw08FrPUdbRqzIF4C5MZAs2a446aE6RmLTR2NrStQwn3uzISY1OUO+Tg+45PmLFMIYZluLqvp1tmrG1t/YMqapY6QC18d4KfOLnNhsf2LX3ni6KvPrvVpBAoNpJ5jG2EBvT7DtYbUWto5l1KWzprh3Ber5pJLAXzcfGyFxORbLuCfhSqTHClRws3ci6QrOYfS+i1IrJ9/Uka8HNyBdh31bus9CnC7ti63JUoUCkJNYTF1EdxHce32BAp0ShAkRFHCqSXDH3+2CTokkKJMMAt6ItZF8GqFLx8S6sDmLlycBHzPGwb81T0Dnr3QopcFNFK3Ka1zAdqyE8fvyVP8rmI1FCUT8PJtGcUFmQd6mkm0VgRZRqJcxdQZupwcWUiwKivUK+nzIS0swmYsNCzf/DIDwhS5E8XzRvxMFM82C8gSr7hZv9tEXk/JxYoc3BPvO7rRIRs+++p0ePQXsck//ZoR/A/+7AsoJcIzp5eZ1oJI2cLmmVpBaoXrpbTO4VV22+SAz5MGC8qSBdVk4qtFb1F5lr6ZwWVqebauBQTCR2XhqICWVJ7zptqKkUhTmYPiQB7qsqu+BLgsaEsU2qKlLQxNZXBOSuCjd6gTpIw5cV6w2KkhtCaSjNETWfla/ltWdODxsQxlIqiI04D5qRG7tw44cH7EINMMM4gyQZBZgtTz8JRCWSori2o8WPgbygHEFn2xJTUy6MyQKYnS+fbleSTPhwRVgW3cBgbSFMW2XOUqhggJnwWIS1/zMdHBK20Uq1pZGc/1fFv9M19EBEiFIFlZoTP8RLhRvWcdwB945hRCwGgwYDpwFysfGmm85zfzxxjYqYwr9hE7z5w3srzmF6CqfeeJUm7wcROpQAvrDw9aTwHy18WzbzDQhRWUosE2VG42YjAGbumewxzoefJJsT1h6JskcooSaMdPwzAhJeGTX65zYbFOMK0Ic2oi7biCMhnHKhy8HMFQFn2GIzfB9s0v7fHlJ4d00hp9ramnhtiX05UsDVFlldFQdg7liaagrBKCMX6mioVMCT+uQ5Aqgc6k38XO2R5yoI8X1Gwx9k0K4w1ftgJ2dwuXStj4zV0C3N+AY+qaN+1VaimmIjmX4C9vECEkyowQ4mCp1FwK4L/3/juZmaq97Lc+eN9tSxfcWDNZGTlWCPR2fEZJKdSL4nVeycz1z/XQziNOCYB1hQQoqmjSV9J04XjzuxHL/FkUoxCqwC7moChcP+JGAM8Tzpx365yWWM+3x73kYZAQBjHn24ZHD9dBh2hPT3TFoDRW7asmmVS98ZWxC3nVMVMkScDNV4yYnxnQXm3QTxUNBUHqvovK3IwZlVQB7msGxS+SE4Ym4XskfVFOGTIjCIxwviJlyJQg9SBPZWlek14Zyt2a0gNcSDtWZR6blFVQ8clKHhW7Rvns0rRxi0du4rO5FaRSKXcPN9QorNdvay5888sunnjzfZt3v2VjgAsbMxrab97aSF64qEdopSs+AVsBed6wYAuAW7/5aB7B86hRBXb+RRDF4lnaMfPXBTCsT9SoWDhL7ilF3pJWmoOUAp130EtHS1TRvVICO2++ddHbc25NwbdzSdBF7BLcgeffWicIEj7xpYgvP91CRppQCjd/u3AQlt+nrPRNVjOro9FyTVyRGcVgGPDi6wd8y8u7/N4nWsRZRC+T1DK3bZ+WpVuxoClS+ihe/VWXiuRgtPTzaASZMi6K5+BWAi2lHxBURu4C5GOWCd98UQCdCsDHo/hYoNvAk1QtDJZRfMKpOvFzp5cxyBov3NQYfbPJ7H0bRvCLF84yNdV8wyc/9fl/aEfLzDSFH5Xms2+8bks+CmDCv2vthJFm3DI5tj7nX9Z/42qkqwK96kuW1feKUWw50PERnGI8hJaVKO67YQI1Dm43TmEicvuezdC3twU6bzhIK0dCTMKff2GKzEaoonpZTTDLvsZc2Rjj4D4gFMN0jHSj0LI82dQIAt71mj5/8skRayZhkNUYZIIgpYjiUlpkKrzxzHi5cJKLSkppsrLyGkGm3UiHVAkCZci0dbQlk2TSIpVx5XppXHKfA7qoKpfOzhLkeHtFtclw48eYfQMBJh81Uto78shdWrLL3MUYySgJObvcp50m//CGm1999+kz5z67c8e2cYC3+zFG6CvOLnf3La52ibT23RSUrf8ypx6VRmFgvOG0hLBdB+6NKMp4x4gz11Ps4zPpSy47T8p963Ow53vSKE9LlJoYduOBrZUolZRCDnQd964x2frIXSaYuhK9oyDm0cOSQ2drWBWgpCSUBl29Kb1MWCiEkyYNfxTzYYyo6NUO5EkasG97wnWX9/jKc3USFTJIBTXpBpTqVHgTlO/CST0PR+IJYuVXru+6qo7u0D4PUMZ6quJv2Ey4qK3kWPR2kVuWvvyci1dsFu47lyv1pRBeUBL/zNjnLKlKMVYkj96mpHU2XSWQi/uU6F2hZf+z6yL44RPLtJp9Dp3s0+5ZZlseSLYC5ipVsWClWEdJysYFO74cbQTwilxaLYrkU2hzXikrkbqkLKLsnhcUnS55JM/3vaxu/50DvDr8x3XbUwC7qFYWkTvz24X75FInWBL+4gsNlpfriEgTSqfuqEn+PZlgjung5biMqo+70KaNIkk0C3OSd762y6OHpxhlNfoqpJ45Lj5mZ00rVlaM18S9ouWj+CQVKMfjlb2P2uCpUr4iueZtZfLmEjlGV8rrZMeuWRXg5fefyMImAmCZaJaAN2Yc7GPNNX71A5ibTtky20WZRUJRmgsLgH/4Lz6GVJLFpTZzLY1WZXpgjMXKkr+Vd7+t0JSJ5WaCf28E8BLkdgNw+ypwBSxqbKhPOXPQRe3y2YHcj2vT4wAPtR8AFORbB/qikLYERSne+NfZ2KGV69x59gR86M4WIxmipPLVy/GZLJMVzMkAVnXajfNwz8UzRZppokzzztcP+aNP93nyaJ1EBfSlJMyMV48EMqsGAuvby6p1B+N/1/i+RdVIXoLbDT3VJs93DDLLR0yU3VNF36ascPEquIuobS95DorzkN94+evCSisqFK4KcAqA57dPmjZ47tBpjp/8a2xlVo8GOHPmLNu3b2v8yn/97b3D7gqmLiaicnmXF4mknGgSJX9tL8G9JwAuyucx/i03ArkYoye5z7oYd1AZf1Cd2qR1DnTPvdUEuPPyfZA3Jhs3M6RoEfOFD536I0EFMYfOaLpxCEp7emIn7LET32tSRanwYVvhk0Up3VQLP5pmILh6x5AnD8VkJmJgQmqZ82xrz8GVcJu1Opk1v+yGPMksI7koK5x+ZdZ5DuVnDCo/LNPlMy5iZ8ZSmrtyn03ZMlhEb8rGFFEFd4WurAN5xWFaKigVJSW/GYtBUb7RvTJLJzUCMxBs2rJ575vf+gONxYs/2N+0easD+Okz51hZWXv95s3zP5GlMfVIjrXs50mlMRXOWAHzJMirxvaNInfxXPpzismmuX86B8r4cMiygcDZRSvPlcgtK7SkuotxoPBauAO3A3A5FCiP4IGeiN55X2cYs9I1/N9/2WJ5UENEgaMnsqLuVAf9fI2KdXHOTLkslxHcKSppqplqaH7s27p8/tEplkchsdQMpCQseiirN5ff4CtXMYQpbLQW48FtisphtZNGS3etlXHJubHOmaGlKJq6x4Fdgr3aJ5uDvQD2mKpy6fNQTmIY790tp6BV8hW/7WF1RnmSxuxpzf/EqROH7otHg78qIvgTTz5LFIUcO3YSazOiMCymgLoh5YJMlnPlSoC7XwierlQjdwXk1S81XtipRjsxtqyvA3hlWuwYwNX4kE1VAbWWEu0piS4AnnNuUySVgTYVcGeuE1+NR+9AJYRhzAe/EPDMkTrIACklkazImWKcg+df8JJuwkpwMNUL6UGeGtdylqYBN+zr89aXd/ijT9cwOmIgQyIpyqLPBNgmI7moRvKxJvCKKqFAWbcqGCtQxiXsxuc5mRRIP8w/T6ZFUXDyG/zKcZqCp505/xawDuXr+nIr9GmsGFZEb9YP4DeCNIlZuniKMJAkidsYQgM0mxFhGNFshDRqCh3IYmvnLHPD6mWGBzkYYSmG98jyQ4x9WJtbDvI47quWdjxiTy7lJcCrUVxU+G0V4I6eyCq4pSwBXhR6coBbNyfbU5FAVQCu1kdurVz0DrSbWrXaNvz1F1sstSOoBRP05NIUBTHhpKyeo0nZrtqJ4ylKkmpmpxTf+uo+H/vykOVeRKw0g0x6eVKULWVFBJ0osvjonb9limheBitlPQ9XAu1Vs8yUu2NI6aK7lJZMiFLdkpVVV1ok1rsK8/NgiwprCfA89NmKTEj5ukI/TCWhLIbu5zuBVLZHiWPnqTeEZP5r6/NnDzM1PbPn6Scf+/ETh5eZm6mRpJCkrpKVSpCZ39PSgBH+mLzLfMhen1yW+u8YRanQk2p5vgS5WEdLRH6iRZWeiLLDxUdtVQW2Kvei13nkrgJ7A3qidbWok6KVq1weOy547kQNQ4SQTj3RorQOjCso490ueRgvFMIqyKlU7aqbPvk+1zTTYDXX7I7Zt23I8oE6NgtdFM+85l9RcQpQUTV6ecKd22jxKLKCMvkslTHjo7eSAiPB+FUiq1IxU1lZiwSz3MHafe3yc5SnwYPblueFCi1xjKCkTzn3zrdmz/z2KJnfbjxNIU5hMJQ8uf8szbl9P37rrS9//Jn9h47rQMVgBlunm/EbGsESrUaDwciPG0vyE+X4k9uZwN2N0lYSTgvSjss+tvI92ADcG0fvcsRZNVqXYB8fal88qzKC60IHrx5+S2tVBXcJcq0qQ4JUGb2V/1nrBKUSPvmVFoeW6hCW9KSqnoiJ6P21rNFVadVOyGDVzvjMKOJYc/lCzJtf3OehZxtgAtLMcfEg80M+s3GqVFCVarT0iWe5mcB4hTCvdRSqmcwPUfDv/HVRkKsqR+BUnKw6O7IqG1ZWcw+KdbNUqmMmirmVZeQ2RpD4vX/iFOIEYj8J7PiZC1xzQ/qGTm+0tT/MjuthLBFK0BtIBkPHWYMsv5skPjYDzmMigEw4Pi4QxS4Ohe791Yo7Vbloknf7E1ON4iU1EQXIi5kgG0RwVQW3n09YbtvBOmAHxdzCrJJcGg/y1NETlVBvxHzloOKvvthkMAyhodFSEIhxajKZYFbzjA0BXrmIpa9nouDjE84k1Uy3NG971ZBPf7nPgwdDbDNgkEWEwjkplfD1gUqyJ0QV3CXIq5MMXPLpFR3lonkmHR/PAV5Gbvee9HNThHA76anK915nNBOXuv4TwC5u/PEpw1Xubfz+P/mObUlxODrdiCSNmvDSL+iVtYxRnHJh2bLUlkw3IQjyEy0LrXvy0kiRLyF2jDuNyYOVCD6ZXBYRPKcnE8lmldfJAtTjP7sE0xd3ZL6k5iDPbbMW7ccFl4epjFQuZxe6aO0OpVyCGYYxSZzx6fsbPHuyAUGAkMqDKk8wy61AxOTFrX7XynkpfRe+lmDWa+H5kcuFcay5dlfKG1/a44njdUZpSCYDBkYRZpSfpUIV/OK/DuR24rOg8pvNYJRA5SCTAqvcdjTG+D2X8tU1H3hqHOiL723suJLkacpGIB+72ys3fVVNyeXMckc3z8GzEtxJajAG5mc0M01BpA1paNAP3v9ZpFQMBl3mphRBYBGJv2OyyhcpgO4+eD7QXIwBu7wTqjeFqPzPRnd1tSkgPzG5lyPfimQS6NWRv6qI2DnAy8mpBUXR+Zxw45UU4wFtKsD20dsnl1olRGHM0ycEn/1yg/4ghGaAFLlzsOqJ2aCKWVmiq7e548CVBGvM6jC5N2VpwIqTgFYr5o0vGfGxe4Y8cTQCHTI0kjDn4q4BvSLbgcjw3hDhvBfVrEiVgNKKkrpIF83zVaUorlWAnleUhQRpbHmDIyqvKwnmpHQqKp9kInertvVZKnUYLw9WN7lK/ZYtSeIkvfvuf5innj5ImmXoXZuc/ztJMrrNjMFI0+4rkjRPknzSIBwvyy9KdQRCuXfOxmtx9W514BYTMqEoqpZlRHfJZLkliahEjdJ/4lSUcnik9j/nkVsV88HzkcE5yE0xoLM8XLVSK1fUCYKE1GZ84r469z5dh5oG6Rqaw7xMXgU1E0f1h40oyrpCmSiapEpFRY4BfTQMeOUNfd78sj7PnKiRpgFWKAZCE2Tl5xGmFAfWf4zxSF7+fotSVf7rRlRYm++QNw50aXw0N1UVpSIZmvJ6jq1i1T05xdjtNuZNGbM12Py8UPTVuAKZJc0Mw1FGt2/oDQ1nVpeRqgPWom+55gxSCuKRYWVNsdRucfRMk3bXJyJjeog3EGEdmEU547t6960D9zpqUonk/o4XFUqSbyJV8HA5nmQWRitFBei2EsknKEkB7grvriSWuXLiFBP3rFRCGCQ8flzyoS+0gBBkgBCKQORNFrbUg8cid35Rc2lMVGK3GL+QVCK3qVJDg8kERvnRD8U+8RprNe96zYC77h/y8BE3SSAxin4mvOHLnx9PJYvQM9ZCNh7Jq0DPbz6VF/OUn4No8wguSiXFMv79TdVJ6SN4xTyXX382wEV15a8mntXVrarGVZP7dt9y9DxcaAtiCUL7fTfvPxAjhCBJUrq9hN7AsLwS0O5LkqTcvzK/A8ENRbfCL6+i8oE2iFTVt4r/PgdAZQmvbptRRO4xajKesVctszklybctcdtzlODOd/fNo3agxp91zr9Vzr9TgiAlyVLufrDOU4frLjGRutLYMH5hXfQa38RpPGqOx09beVE0QFQri1V3YeZ6VJ2VVjOKA67fN+SVt7soPshcFB+JkKEBneV6uFMz8Ksw2cRN5l87EE+AW4JVtuDiUhr/2l1za0URxcvI7b93BfQCgTDleap6Uy5V2VwP9vFZ8vjAqIBICKRQbN8yQje7bBuOkDpE6QBrDfqn37sLJSW94Yjldo9WqNi3ybiu7iCfXppzqPKOF6IqC9pLfshSA51YqnJuKsrIjAf3uDRYqWZWdizLdznIKUnZzVOCW40llBUqosvxylplKF0BuKcooU44dE7wvk+3GCUBNAJPTyha09RY5bCinFRlgktRFDsO9CpNqTroNubimmYk+d439vnEvU0OnnE3X2YU/Uw5l2Hmq40e3CIT5DtCiAmQj0VN5SJ38Zl8gqmsxZoKVbT+yHVvKzwlWa+k5MqY2QAHX9cjl80rAM/xEAYwNyW4dath944etbAPTOG6Qg3qZ//zr22Rsvafn33m7DXaBkyFmlbotrqQsgSo9J8ml+zyeXti4pCVQxXRuPIshfcR58liPg5YjmvaE6pI0cyQg1kzkUjigVtJLAvd2xR0ZdxrUtn9wTcy5EcmY/7o4w3+5LMzEEWgaiilaShLXbm9bnJnYr5HaN4aV1ZS11dYS1tvZQUqcolSdszde0Limw5yi6p7Lazhsq0xZ5YkjzwVkgoFQmGFwjVo23EqKKrBZqP1dT3iitV5HY2xE5Rm3DsydsNW+PKk87QK2LG/Y9kgPyFP/4rvoxUEgaVRM7TqgnoQEKgQJUO27rxj6869r/2cPnTo5Ey33X5TQw1YmNXUI2jW/He146ehqgxU76zJO22CYsFEtC4CXCWhrN751Q6esSiet66N7aKW8+9KyXyMf+fgzrczsUW0zqXAnJZor5wEOua5s5IPfL6BmwXjonfRuV/NA6qfsQDS+iJW8UNBS8Z5b+GBtmUlMW8IziO4sb58rzwXzzTf8do+H727wf7TIfixaiMToIWz0Rbn1teuRVZN6WwRz3Mg24qqozx9UTZ/BisqVErkyab7PcafB+vpmrBl5M6/fl78Kha2CVVlPOMc/7mKw+ofGyvo9hXYGvV+QCPq0ZrrvUnK0zN6Sg4ZhDGbpi0zTfymoa6tq1pJHE+eKspI8fP43S8qn6Z6oYX/RiXfHk/QigpZpfwtCkNR1QdeAfcEsKsbUJU0xXFu5aVBVaEoDtglyDOV8vH7muw/VHJvKaTTvn0HzWRX+2QFsxo1J2OlHXs90YA8qYkXo6kFJpNkMi/hO6py7RUj3vKyHkc+EBFnEoR2FU4EiooujkBiSYoLV7aWkZucfCh1tWv3mfJCnsor1qJ8LaRPQr3CJnLQ++Rzowq1qZyrKk7ExEnaKHfL42luAs697EkiGAhJZgKGsaKnDfXlkFai0DsWFIFVXFzQBIEqJLiykFLRpRmX+KqfZvIyViP9mPZdTSwnwCErgC6jth1LLse3CSz3whwDuKwUd2TJvfPSe7HFSWWuuFJuUm0QJBw9p/hvH5liKAMfwceTy/G5J+MbYo1fsUs/iuW5KJPbyutqY211rIQfvmQUmdGkWUCUpfzTt/f4y7sbHDmrQSVYo4llwMAIVJbfcNbvmFbVITz/VuPqjqro88pllN6M5cFsrVdUSnAb61cL6Y141esqS3m4lArHQb5hdK7kwtXT6nf89hZ3dzNmRjKKLT0pybII3aozNaqjF2Y1ZAFb5kOMVWSZ8f/4JH2oGnfEJT9MEaErwK8CfbwIMiExreuKsSUFmAS3ZAzYeSTXqqKayPVat1ITqsmY9h3TiQ2/97EpzlyMQGkvDcpiwNCkqWqMmkwqKNULeimg50cBass6/7PNB/dUNPFMkUlFlmp2bBrxQ2/t8vPvC2knLiGwRjJCOdkwEwXIq8lmlYcWvJpcsbAoyhtQ5TegHNemlSjBbX3ktvmN7xmAtbkUbNedm8koPqawVIuFlfelIPeJFR6VHJeZgW5fUpuBkQE92wITw/yMYhgrRrH0sqCdoBeVGD32epxDlR9SrIvccgMQVE075WauHtwF4Kv0xI5FbeknWFUBXgW38j8rXUbtPJrnUVt5x2AQJbz/ExG/+xdTjEzg6IlQBT3Jm4qr3pPJCmwZDMYW2UtG8SKaV6J6taPFgdpijFlfwjduK/CaTvmRd/R47kTIez8egIwBRSYkQ+PVlCxPMvPKoq2sunb8Q1XqGlY6oOefR+I5ubSuii1tAWprKXi4EFWwe8DbarC0ExFcFPdbla5UGFXx2jLO7fNHZiGOLavtlPlOigxSdD00tOqGmabBFqN2Jwo8OWA3+MXl0jJJTyZoCV9H9K7YLovy94bRu+wuqQJb+kE1BbhlnlAatMwK3q2qSaZKUdLNGlxZhb/8fIPVUQ5uB/BAQugna1XL8pM3pvArp6gck/jeSD3In02FrlQ7x8c6fYwsuLgyCmMc554OM97+uj4fva/BcleBTMAoEjQjIcZ9KtXrWkVQ8RkdDy/lQuc5zwt8OahlHs2Fq4sYWwG1rII7P1e5Jj/Bz4GiulnJ06qnTmyEu8p3sbg2uzgxdHopvaGlPgId2yGxGZKkCakJKb28479hPEqLDd6biOAi7+TYIAFbF/1Krl0oKZX5J8X+8/mOaspeknvnG8C615nfEaEsxavKUSaWCUEj5RNfrPHgU3VMhXsrKSvGKjtBTypLbhUwlWMMQ+seFR5cKfiUu49dwmVoJaqii6dZgDYpd9wQ8y0v6vPHnwxBxSAkVgiGRrvcyt+AUHb8rPsslKQl/9C2Yhap+sYL1UW4xpecjuTqSg70/DoXgLd2A7tGVYCwRcTOpUr3US9NjfPAoZQgCC0q8BH88UOS5SXBocMZC3OGQMmxoe2XvC5fA+CTMtlGlKTo35MVwFTlwEpUV0UUHwe2rHbUTIDbvS65d7HFYE5PpDuiIOHIScn7PtHifDcvArhB70rgumaEqw6OeU/WHWIM8Jc+gZWLQg7uSYpSHe/gaYo1xc+Z8SDPJEq67U+2NDO+71t63PdUxJELEkQCKAySoZAoqpXW3OF3CU0uj+Q2H4nsVRRZyoY5m8npiZXlv517yp1U6ABdAH4MF9YLOe78OmY8ToHLJ8u6j1wBvRSCRk1y4z7F9dfCzKxFZ7EmGWnHvTPrxm97YI1diQ3+XVH9FZcA9CQIxhtT3RcuK4Lj0TsHdtnwWvl5XRTfANyqyrcr4JYZWqYo5YZojjLDb39winsfrbveNqkd95bSd+1UGnsrPYjrEsyJSD6p14rJUzpRyCiSvGL2TMU+ayv825oKyJ0wkEqNSjWvvCXmh9/V4ad/O2SUSleBMpJUBAxEWW10+VUuT1wC5LlOCIztaSqs18gdR7eiTEyLxFJ4mbHCua2gUsavFqLcH9j879qKNcRH7qqikvcelB/SFxB9fSTUAaGKCGWEDrWlHsFUIx9G6SpE1Ysz1sQweS6qF/US0XvcOjlJUyp6ckUSFKLk3DLXndWEelK8d2lwF3JgIRFWkkuZEoQpX3g44KP3NhjFAdS1495SFdG72EavWoAai+KiAuwy+rhj46bjye4n62vR4422ngrk72XCce9MYmQO9nIofJpq6o2Ut79ywJ33DrjrYQUqcSffSBKhGVEqKm5cfk5Fvkok90DORwkp7yotgO35t5IOnFZWTHmi7BMdA/rY+w74trjp8vcq/KR6sqr2Av+/MvOuRynpDASDkaSWSvR0U2MSzeyUptVwI4Zz11e1XFpMrdrgYm2UUI5roOuBXdzFhbeksj13EbXxW3RQUBJV3ASmIg/mU1DXg1upDOmjdw5u7cEdBglrPcsn7qtz8FzNURPhLLGiKOxQTpCqeqw3SpQrUemrEO9xnDuEFFpz1RueN0QUU50Y94rnUVwKhcwMUrrV+OqtCd/y8h4P7g9px9IBHM/HcaV8BePgtutBnjdjFBRlgpdb6ZNOf00xnorkf5YXgyrgnozouZfFeZvKnMbaEuwTlbGyScTid2hzfyQzQZJaRiPLakcgQ4Gem5FoIekvQBiWiUQxE8V3UQgP8rGOnQq4vy5gF382PompWq0UFbBLv9FSlXtPcvB88qmL4lXaUs61HivN55Fbpxgy/vsn6/zuR6awQjvd2ysnLno7ejJmGah8flFJovIClsyj9sQqt1H0HrOEwgT/tmOBJW9ItoVUaPzAToWRpqArSRYgleFH3tbn8NmA3/2oJkm9x8BIDIKRkORbxxZcXFiEmUCTFSVFqUTLnJfntMRW+jilsCC9+uMTyvwGyHl4NaJbMY4RPPURono7lfykCuxijEnmBvvndCUzKYurKUJn6G3zQ1rBkKwbk1lR6XWTJP6OwAvosvgnxgFeAH0jjj3xflnQKdu8qpORCp6bg1ngaIiogFtV9qeXZTleyirvLrm3rlYrfWIZhAmHz0s+eneTXi+AuvLRW5fRe2wcxPh4udIOOn5jV9/4WkWeyVVy/KhUMWXVo+L31szdfEYgjURKx8WlcDMNW82Mt72qz6e/VOfwOS9H4aJ5agRDvBnOUNICD6bCnVKoaQ5s+WZ9VuRQF5UEs4zm1t84eYSm8p6TFn0gsJNAL2mLrQaJSbrkwZ0ZSFNLmrmpXqkHerefsG0xIZMJestCRqsWk/X69IYwSlyxZxgDI1no4kIINmIo61USu8HybSfmDNoxmjKumpRz7taBvYjiptS9ZQnuKi1xJXjjN1Aq35MyQ+mEUWK484Emn3+sDpHyiaV2yokso3euH+cqSrXvcsynM3le+H/+sBMHY0pKpXSfjzEzouTiRpIJhTTuSEaK170w5nV3DDj1qYCRkSBUscVjKjQDU+YJVSBV1ZU8P9BjiWcONutyBF82t1gPcFGYqpyEKHyfpi8W+ShfjtXwNgKcRCrwieYGNG+svc84UA9jyyg2xAmMUstiW7AyiqindfT85u1rUnQ/PdXiH2g9JE40g1GAAJJUQFIdyjIBbP/7q9JTmVBORudK5K6oECKP0sW2H7ZMLJWtJJ7GJ5QlyF3F0hbgVlVwjwE99Ymlny8Yptz7cMgv/OE0mdWgA+8Y1Ag5YaoqpMFcA7djA/vHVqqJG766wl0qelejeA6gfKjSeOHH0xTpgS38XjU5VTESI5w2Lo0mTd3+Qu/+/g4HT2vueUhiwjKKWyNIUAypyHOmCmwxVuwDX6731EThU4ecv0u/wosK8P25sXlnkb/e4FrzqpyciUQ0p3t2zFbgn61/z7oxJqPY0BnAIIZhApmIiJpTn965d9ea+t5/MNsbdpePKGV/uFnvsGk2plVPiRPNajdgGDvaknP5Sb5dpR7VJLKMvtUSe9VHQqGKSFVG6XK3hnFKUsqCuVqSm6VsoXfnhZ11xqq8FU0laJVwelXwC++b5r7Hmm5THhkWANfSzd+OKtbYdd7tscOb0xTe214ZZyErnnc12Vc60bwhvKFtrII7sQGAzxerwWHsGuT+8XycsbUszKdE2vLgkyFrg0rVxcdN4yWL/KaVlYi53gm5/m4Vl/ipTF/FxB+L8b8/Ro3yG77cLW4cb6XhLy8cxYnl/Krl6KLkbFvSTQRT9RoXzi1934MPPntQHzjVZpQodm/pMj+1zJeeiYizOoNug05HEGflLy6qjlVaIteDez3g1yskY1pyVQosLnAlsVS5RdVvoZEDuvo6r1pWHYITvFuplCzKeN/HpvmrLzaxtZJ3V6N3MY6t+L7rO+ar9GSsvCyoXLRLXdjxP6zOlMm18arLcFLJynn5+MzsKlWRyEyRCY0cZLz91QOePRrwi3+giceyYtfvOTKCcofNKkTzz11ycmuEcxtSVhlz3l1Ih6Kk71JaR1+ki9qyws2ldBNt8+plVVUxQji3IuMWkXK7xHxTMYmuDZjf1iYxCY/sj2hNp1y1WzEYWfT7Pu+icz3ULLdnePLINFNhwFWbFXu2ZDQb/h/xUUqI8u6szoHeUNcuKpXj761/thVQj8+hLqTByv4wY+AuAF4CXVaAnnu9tde+73o44g8/1WSY+Sn4sizsKE9NCu4tJ7Xv9cnzusJWBSTrcT3BJyswysdIbNThMpZoVmlKDnTj9i/NjERmEiMUmTAIY5BGEwWG7//mHvc/EXLXY04uzKkKQIZmWLDxaqa1HuRWlD+vA7ivdCKFBzWF6096M3khKeJq+jmwldemDflAqTxpHZ+pUnSC+d07ppuwd4dgz44hrUaHpw4bUtFkdiYkSy1Sa8t0M+H4hRqff2QbKmlRJ8CkgsEwYxQb0tTt1VP1MOcXstp5Mwnujayt6xPGir9ETUbnCt/OQazMxN+bOCqqiVQpUmZImaJ0Qn8EP/f70xw9E2FzcAsHbiGE34OTQr2pboK1vnN+PbDHutbLNycgvR7hl6xqFlp4qapstHHVWKUzL/xYVfjGs1hz+faMf/8DbZq1BLIUbAImdYc1pMbZS0dGEBtIjCA1fopUPg/QlPNIsmJeYOUofs6b1SkPS/lelr9f7vWUmXIMYLlq5Rss2GKVFB7ggZbUQkE9AiVCsnQOYTfxipsa7FywtNspSZKilztXo5SCrMe1mxaZb1maNUGr7t1ihsovLqkK6y70+irkOiqy7n1TKcmPR3KlqrSlup1dVR4sd92VsvSayLyg4xNMrRPSDH7jwy0eO1BzmrfvYXTLkvecCOsLOxNJ5UbUrBqxi5+rG0+VvFJwaYzn71W1cJOXwX2nj6lMwCp32ZgEu8R6PVwIiTASKXyLm9BIY7j5moQf+/Y2v/rBGeIsj+LCu6MgtYqhyXX89XbaPKKWH9tZcXMVpRrNx5JNj6MicuN1cokbBepHTRjjonzerVPUCvKjSCHK6WfWQLungAbtbsBUI2LHljpX7K6RGYP+j//sHzDVavLwo0/xoQ//Nc1GiFaCKBAoJdf7KYpIVrWMVrpuKiCuFm1yrl4CuUxCx4AtbKGWSL/hURXccgLcWlXBPX7InKLUMj73QI33frhFexBAqFxBRwYgNEIIz73L6F1tmduoc2d8nrkob/jiZE028Y2v9uOl5srroqqZR223vFtPTYqt9WTFKy7Ljh8hLFZKrJcNhbBOokszpmqGH3xHn0eeibjzKwoaqW91z5NOQSKl34lb+Gfr/07Ow0W5P6T/nnmEtTgQeq3Pv/arWpW35WqKqUQJPGMyzs9ifNlcFC10ldXOP4xx02UHI4Uxgu5AcWFZML39TWzedgOjUQ+9ZS6k2QzZtTXkql0Ro1STZgYlHccp+jKpRC0xqQVziQh9Cb5dBfRGSWUB5LKgk7+nK+Auq5WOlshc587L8ypF6pQDxzX/7UMtDi8F3mhTieBCui3CK7SkLMmX/umxBHPiXFTzyzGgT1zUySBePFcTy8rPVZpS3fyr2LNGeNB7Dp7fBJmP3lKWPpVMaGRi2TeX8k/f2eX4ec2hMwKrcyS6D25NQFysPHlmtzHILe58WQRItyVifo/io2sB8sK34ri5NFA4r/xJKGYcWm+39TYF4SXF3N2Y2xqMdbMJhRDEqSTLBEurGdv2hcxtjej1UnQQ+MlPoaHWsMhYMRq5/6ic5Do5o2TcIJXLgOKS4K468aoAn6xajgN6o+cquKuatywSzVL7DqOE823Bz/3+NB/9QsPxbjWeWEofuUO/uhRToSrc+5JJpWQd1b6UVrIhNdmAnoyZsDaobMqNdj7wc0ry3ZKFsGRCIjIXwY2xLppnhkAa3v7qAe2h4Cd+VXFhTUKUuF9q3Je1RhOPp8rrQZ5b/XIgIypgLu+DYlHyM1qKCJ+7VY2jMXjAuw0QffQuklQPaOPw4b6nLfIC4UE+jC39YZ80HWJMhjEpcrEj6Cfh+SMX+Oz53hS9fuK9AFCd4LpRslXtuFkfuccdgFUgl3ZXQ9U7kieOuRT4VcE9dowXdKTn3TGGj3+5zuceqle8JrmhysmCebdOsR3h1wC2i95iw4hdjeaVFbwCbrEBJxl/XSacoqxk5mAvdv0tRy6XG4T5ra7XJZyuKcL47p8s1Qgref3tQ97y0j6hSCFNwaaVpDPFWEvsE88i6bQUiadLKMVEcunfs6x739gyqawOzszfz4rVyY4loHnBy4z9G8b9N1n5vhBQCw0vummKfZcln928IM9vWchQv/2bv87tL33RWrNm14a9+LuPHjtPPdKE+aapWhabN7kBPJUxaZX5JE6rhlIhoRKVGaMfahLs1epkUeQx456TSVpSRO/yWcuyDS2TGX99b53/63enOXYucnt1C9+po/woiEpRJ7fFaumG2qvCmlv1gle381i/raESkrEB/WK84JMXc/KCjSoKN+t/Loo6E6tmtbgzVkEtLBKTXf6TU7dcUjc3lXHtFQmnLioOndQYO7kcOQpkhCiqijAxc7HydzeSQ8X4j4XEXLw5udxVCjsUeU0ZTMa/R6moKAG1CGaaAzZtuYxMTP9vJ08cfuC6G1/v9uh57mRCFAlOXkgZxT4ZVPlGquVkqXXDLqtOP0GhfIwBWkxE70nFpFBLTOXvlQ5Bl2ReAtwTVCWXBIMw5fSS5L0faXLwSATNMmrn1EQIgcaX5GWFllS494aqSYWT5z/nc0cucZ0v+ahSkTJqm405OdWNoypJqHE3UqmoSGTe02kEQkofBZ2y4hJPQzoyXHN5yve/rctDT4UcX6wkDq5jwUnVRjEipy7+AxeqidewC8Da4s9sztMnmc5GyWfl3ytVDU9TqjVR4TZfEEAm3F5AqfDbrBiohZZt80M2bemTpgngN6F6xW3XUa/XmQktD3ZOEUXKNz+IogFCF93rG4DbA75KUcqqpGFDDl7cANUizvqCTlU5WQ/ubJyeSDf+YaUr+LU/meLux+q+gaGSWEpdyoLeUDVuqmKsU6fcuWwc1EXgqlxA4bWsiWv61UFedafCWEdPtbKZJ5gyL/T4xFNUZMK8Muiirks8pbEYLJnrwfFVQkMqLPQtr755xD//ng4/+wczrOalfCsqGyQLMqMYTn6hSjGnUFWKJofy71gsk0WfUm2p8u/8v8m5fgny3FuYiUpY8ONNcrVDCVjt1hDRNcxtvoHRcFjci1y9bxsvfdF1d0ay8wt7dk4z1ZDUa4IooNjmujrzb11/5Jgpan1D8EbUpKqWyCotqXi5vxa4pfKqScG/E0bS8tsfafL7H27RTTyvEhXuLdxcxFCU3HsM2IWt4FI8/BJD/CeW3a8H3NVQP1amHwN7eRQR3VC4CceUlgr/tpWkM8tnqvgjM9px80zR1PDD7+jyI9/WoW5TVwQyk5w8wxgYFoUgQWIgtY6Dl89+57Mq9/Zzzsv5LkzwcFvw9YJr+/eqrzPjd/wzlPbY1BAnGcNRxlo3Y6ld49nnOr8wNX/dnbq2A/Cry6/88i9z3RWtJNKjKyOdfqsgcfTEg7sYfKkqEbw4qqBmDNDjCWWVn08klhMuQVmJ3uPgLmXBMaegTy5FaHjqcMh/+sMZTl4M/dg1z7tF4JNMN2OwNFSV3Htsx4Y86awknNVdJYp55YWa5Lh2qT7lf+6HjVY4+STHXvdcvbnk+A22ERcvuXelDUyWk2Rz81VpWrLl6mOhFmRsnjXc92TAhSVVluPHMmenk5vKDTyuflbv7A3o2jrTVWX1u8Sf5z9U43l1tXNjNVzVdDBKibOAdi/9k7s+d8+Xv/Ut31xGcICXv+qNvOp1b+WqKy+nHiZEgd+/3e9zU0RxWXax57sqTNKUyShe0BBRrUhmlYhdAruU+y4F7qrako+ASNGh4ZkjAT/2C7M8dSjCBrnOXTFU5V5vUXLvYphPBTzrxkJUePZGttixriYxcYG+WiivWmQpDyiLPLb6Z3mkxlcCbb7dXnULwvzn0nxlrMTmikqlhzM/slhx4xUJv/nuVa7fN3R7oEyoKnlJPzMQ20okt76cn0fvipqSVpUUW5b38/L9WJm/iNQTf55Z0szNPHH78ljSNH82JKklTgztTsyevft41zvfzj9467cUp1jnL2qNOaKojtQ1LC7qCqoD58ebECadf+ukwA3K7+WfmXUUpUg0c/AKu3HklhlKeH+JTJHCTYftWvitjzZ5/NmITHmuLSsAF7L0m4jxgk7VT7POcwKXTDRLerI+YuW+ia9FViYbuottrKsNB0X9u0wuy0mwjgYI4cAj/MZhwriCuxS+2ulL7EJIDMonbLaodKrMcvO1Mf/L23q8+1cDuqlw6MhDdqFfa1KTm7/z94RPECiHolQSzTHt27jBQUC+6fKGSWbRRCHcuXCDiMpRFdLmilTpDZ9qNti6ZYF+r78e4MYGWBEdNqJ5ROnWPpMNUVq6zhlxiRK7B3Ex/VWY8eLNhgnluMdkXDkpo7hTT9aDu6hWyrIrvp/Bez/a4kOfazKaBHbxs/Ruwcre8mMgn/CcMN6iNqaYbJhgVgD/tXG9LpLbiWhe2mZFAWxDuW2jsflrW9wExlq/Wa+f1+55uPBcHGGRVpJZ5xXPVRXXOWAJRcI7X9tn/wnNez/SopfgTpgVRRHIfTgPcnA7GudCNHYMxMqwLvHMd4ewlS6u8SS0/D5W5pXS3NeCH7pv/QB+i/Yna25uivm55pFmIzpsTVqc2oKibN26nacef+CzUTT1/npzgSzzOyNUdibLj4IzV7raq4aoSTfgGHALfdtUIngJZClyKrMxuKseb60zujH8/sea/Kc/mObicugnyVeTSgduKT24CztsCei8uFM1UG04GqIC3HV7fALj8wj/nz8KimKpgHaifF9x2VX3th/r4/QFnzGveIW2WFN1HObPmjTVbJ23/Lsf6PBP3tajFU0mnYmzAtqscCAODYysILauGJR492FaKQKlxYZaEwWg6nuTBSBfyKm+n+YUJT9SS2rcZlk7tm1idnb6/V+67/7Pbt++fX0Ez6O4lrVPIuRbo0i/MNQZgbbFMlC0ovkoXA7tMWN6txAbRO2CdlTK8WIc6CoHuC+5l1XLEtxSlhZYGRn+6vMN3vP7U5xfDZzXtahUlhw8pybhBOdeR1GqUXoiuSu2pGaCruTFD1HoKOsqmWPdVhNgXYdwKn9nHbAnozcFVXGeDdcaZo1rGBCm3HXD+BJ+/uxGPFiEpyv5jtZJbNk2m/LvfrDNckfy/k+0oJaW4TDP7nxozIxkBBVJsKQoTjt355rK3yk9KjhvunBf1Moykud4wk90sMKV7vNFIe/xNNbSrAcopR6fmW5+st8fjJ1SVf3hve/9Q775dVecjHRye6iGt9SjhDDwgy3H7KsbqCWqUuCZmDpV1bnLiD4R7ccSTHNJcBezTWoZh88G/Px7p3lsf81VKvPdGES+K0OpmkSSYuvtcm/3smg1ppoU36V6lOrHeEXSKyliYmc4kc9Wr6gnefVtgu/nO8wVN1Wuuxd/R6x7j7EZLXaDxLcyh6TAV87DJ3KJSVXDWqanM+o1y/1PBqysCvwglfG/WLS+Cbe/VZF3VG746rJn87Vv4lH9EBvf8/nHIt8zMzPWbwRrkUohpf7E408d+o0f/eF/PPbf68l/cO+eLQghGawtY9IBaaa9U0sWunvZ2FBKUBvxbnfhWxNrBwAAMP5JREFUq1TErova5c9l1N4Y3CU90WHGkTMB/+d/m+ELj9Shlvu6q8UcF71lRTUZ83lLO0ZBJhunCxchFfdgwa8rbXzVsC0sQkj+xo+qzXDdEKAyeAoLwghXyBmL6C5iWlE+5wlokXx6epBHcXySabAFH8+ERQwtr71lxM/80zV+6r/NcPScgADKRJIx05Qxkrjg0TkfF0U1Mx/WmfNy9xXtWDJphGuHy+cd5vlr/rM71+4kZRnEGYwSkGGNTVsvwxiz7pSuA/h1N70aIXV87shR4s5RuoNpVjv14mSXWuwkqHNwTALdjP8szIYAL8Ftvzq4g4zjFxX/4bem+dCdDWKpymKOHLfCCuEidamcbEBNpC1AXHYmTVQsKzaNMT9ENRqWcC/5+teL62qBZ9JdiF/6K67CgppQdRbagpIIi5vF7emIKCynfviapyz4ymZGDnQQGIRQpFginfKu1w/IrOCnfmOGE4thOQmpQjOqdMUUqoinI8IlnDYHtvQ2W38j5F5y41dPjPD5rC3njnvqkif71jqev9IXXOwbLrtmG2976xvjOE359//H1wB4vTUPYu7ffOrx664bLR979dXbQKDc7LkxmmLHIriqcO+yW8cWEVxUAK7GAO6NVMJMRPIc8CXvVirjxEXFu//vGT58V5NYVuyvFZegA7jwXToUDcS5cpInluNbkeTFkvWKSTWhrAbsKu/eSAP/ejC+obnQrufgBqcg2Pz/rIuWRniOWm1tM3h/Sh7VJUYaB3QrXcTOo3q+9Z/JP68uPniaWjSW73pDH63gJ399hhOL/jOOSX8lyC2SOI/IvgOo6ASSoIx/L78O/s/y7hzlz2M+c7xQSP0JlZQmt4VZy1tePeL73zX3xYUdO/9NMux97Qgu5Dzv/bPPdCI9f/DLz+x6xdryUF29G1r1dLxHMjdW+SgoJpLJ9aC/FC2pqCcFoPMEMy2jt045t6r4d785zYfvqkbuauuZ8gR2vWry/2vvy+PkOOp7v1XV1xy7s5d2tStpdcs6bcu25AMbAr444sQEbMd5wTicLxyPBAKBXJg8wNi8xx0g8LhM3icRRzA2GHzFjhGRD7BsLMuWZOu0Lmu1987R3VWVP6qqu7pnVocv2ST1+czOTM9MT0/vt379re/vMvUFbTmwqXwzbaYjeVd9tpODxXctUGcWmccBbtt6J0BPrDxJKEZaWjmrrAiTbkZ0ooCWAglR4JZC1TdUKW16Usp04Un0zogwcSsMnEs44Hjj+TXEnOAvv1jBgZHpQC4BOBCgiKDjxA1NseiKSTA2C05mJiOx6ownIEdyBQNV/2ZKCYoBwSkDLs5d1sHb/N6t4cFbJ2YtfHXTOW5JGCkBENfedcayzkfaS46KayFpvZK0e7CV2W4lC5tCPHbsdus47jyouaWeGHDHoIyDu8D/u7mEH9xWUuA2gKa2HGgcOkjKP7hUgTupRZKoJrLZeqMVqJvzKm1LnjEO9oOjcRQLydJGdcK/kaEg2cJA1k2kyoqy4nZHiGwTq6RNeCIbWh5Pbnk+jZeTOyppmTOwGLjsoireeskkHONWFJbHM+P5FBBSeTdNInOkb7HMJjLzRFZMZcM4f+MkIzsC6v84VSd4cl/nI4eG6+8SovX5bgnwN19xEeb2Sb5s6TzZ1Q4UPA7PUTfX4XBNW5BM1wSRUUWy0YFp1k2qe9ugzmvdKbgZ4yAucPuGAtbdXkSDGi+lBWyr7FoiCRp6YuhIK1nQkgdbtQPMhMa2eA257bZakDndLc69ROvRyoJLnSiRLc6ZrThrL0KT53ZicvI+KyBLUOU+t9qjyCQgiyUd3RTYGTwuccWFNZx/dg2E8xaufK2RmwAtKRFJoCFV0kQSpKXd+JHUgVqSaL3c0s+51r01yCMOXSsTCGOJeigwWZPo7p0jH9/B+ZzFF7c8n8405xmrTzsTcVRfh8aWJYj2lQpBDNdJeXXKWdPCmea5WVASkuXh6j05j6UGN6FCu+AtOdDhoA7wk18G+NAXO/DYDk/XEczTEnNTEpyx2gbUjKbgzvSqaQVoG9QgOSBnSyPbC0uz6rS5esanPw24k5LUxADZctFbDxIPYO71bOF82xGkXfdC6feSaHoCc+xa0pNUL0oVXeHcmD5DVaw1BpdYuSDCZ/5sDB+kwC2/LKZCc4ammNheBxIUkYllh46hoRICBEykigkjWhUiaRCbys20PMrGmnNFx/pndk6dccYZ64rFYDoYY1pNq6tnQFbHNn5h0aI5hwdmjKOjrYZioYHAi+C63GqiKtLSablgKFvztgOpsuDW9yTnhmcc1AVuWh/gw1+q4LGdXq5IZt5bmS4qM8V7rBsjaBmxlw+RJdPdLINsx6og9/pxxsqmQLcWlgmwbb6tN5taIoklTwKvUrpigq4yFlvSlMrkArTsNDeeoypcWoFZDYZlgzGue884fvfcKpJIqMSSa9qSsepS0ZXEmpPEehvKEmmKEufqsYRCVVdrxAS1iGCiQTBUZdgxRDC4YMnhu/7j0S8Mzpk13QVxegsOAHPmLUatOoKHnwqxqH8StUYRYeSquAZrl8pipV5MY8XJNJabEBvcHJQYxSS13MRR4P6rf6jg0e2+KvVALa6dseKKd7s69cwlSLsyWNTETmBIExtkE4jtsmyJPJiz8DnDnT7OgTtTKzwPavteZre3lAuTYKNmjVzoXpFS6M9QJAkR0NaZ6BIRRC80tTqo7hMVRa3mEhpmZo4qt6kOM5RYOT/EJ989Dgngp+uL6QkwCRBJUrE5eQxcLxoFBTxLTVH6NyCFTGT25Gqpj1FCAX4qJqiGEc5eCaxYuRAd7R1HNBxHBDj1+xvbtk/+zxt+sfL7a+euL712bS3RT20zZbp1EZIHuK2a8Ix6op4LUJLl45RxwAFu2RDgI1+qYPMOA247MtBKYoAF7kQxaebbzQoKEq9h4qIHpqctFuCNoydv1W3KQlqAvSXIZXo6M0VuiNX92HotTVlr0Q1CAoLIpFkBEaZ+t0VZEre+nn6EqBJqaRQOCNGYFskKIDdpAR4Cq+aHuO494xAC+NmGIpKwPlMcyKSwJT9KNcSKLMeOoFK1BtfPKYFuA579XgmgwSmmeIxLzjqAD129cLzYGb+zKmY3njHANz4Wifa2VQ9c8qrS+Lrv7SytmjuB3g4Topj+iJRymvgGqQv9WIDWQVSKawtt0S1gkxiUCcABfn5vgA9+voLHbHBb3snUoaO8Mo6hJjTn0LG4t+25zBcsyoDdBjNpBmpWD08rWeUBkIfE0bCeEVFyz81EsF9LaYsBrpYJjbRmnD8JqKHiOhLebaRDqq19ik0i0qNKJ65s+m0yBJbPi/Dp941DguD2ewvKZW/zcbtERLJXikiq/EoOlV0loR1u2gFKZPacGWu+oCfGa88oxP3djStmLR6/DfwLze5La7Ajvfilz16Hns6g2pg4sGHxbO8qGu1jvq+K7+Q177yTJxPvTWxawq1gKk1NNLilA9z1Kx9/9pkOPL7b14UCbQ+lUU3clHdTwCdpVrxrg9ty8GRiTWgaQWj0b7t7cZoB3yL2xCyCqD0RSPI5E3uSWv00/iR9noYC2Hp7k4qTXF2y7dTTkF07ASPnjLKz6WHek8ai2GC1VaCMscoATFOgzHvUZOjt4jhjeYTNOxl276VqWrSa0Tkul5nIRKflIXVscT1PhH5f4EiUCMcpK87jjrf6k5s21YZOWva2IxqOI1pw13MwPLQb8+bP29tTmdw+suf+k3xnEoyZaZ4elH0SbfUkpSmW3m09ZoSDOhySEdxxvwL31l1HAne6qKQa3G6id1teSgvomUJFCRVpXlgmIIQFMhs8ucdNqon1ueMdqVXW1ERbYSvXIaEphmpkOLn2bgqhJobQpdfUc6kttL1NaeJEqhbhBOp8KvpCIMzs0gV5jFVnVGXag1iWPpJYMhjhS38xhvd9BrjzvkC5/63EBh00k9IWqdZOAgQNqPgYlyBVeozsqX87BRBHAjM7K5g996TtK1YurR8emTjqeT1qZBClFHLiJ7vaimNv7+6bD2AcxUINnhslBeZpnnNbMScZGmKB22TmMI9DOgR3PhAocO/2IV3agnPbQCdNQVQ2qLOFeyxqAjRZzHzsyZG8mHmlJMO/M+bu6ECX+SeyxeuWgoIMyLPVrWwFJaOR2y1PMooKIFq8J91mxY3n098ylWt19VrhQIYUS2ZH+Nz7x/DKtXVQI15LW12xdXKjsKhVMZdKF4+0g8jo53UO1LjEVMRR53WsOnUJnhoTb//i9+/dxdhR4XtkCw4AHV2zUa9PwPfL+zc+4fziF+sfOO/i0w/hpDkeag1PH5zO7kgWmCnvJhnrLax0MwXu3cMMGx4u4JqvtWHrLhvcTjPIdYFyQlNHjrHcqSveZBo1y4TEej2fktbEvdHKOtuvk9zrJOOyTz9joT6H4LRwvA3q9JZcHA1widQWzsp6kTIBvTK2MjGU9iSw1RKp64iki2JT6kLbT6p5exI51WqyprNS5zCDxsBJgxG+8P4xfPQfBe57OMDuwwA8WxtvrehJUBgJXvu1VKa9kEDUwNJZw/jDixle/9rZvzh52bn7p2pVlIulowKcHfUdAD7+8WvRveSi4fGwa+LBbbg8qm7Gy1YKhLGDmDNIDfC0nJvSv43zppWnkgUCW/e5+OTX2vH5dWXsPujlwJ13wTOAUhBqeypTV7yjrbZDpWXBrXYpRkmhsgW/tni24eTGutt8nKRl7Aht5uEmbttwcXt7lpe3vjIkVxP7CnAkVSc36WBNvKbPGTWEpLcm2TNZMJMW702VM9trq9Z+6UwnXKKnk+MVpzcws5/j8SccDI/QLNKsz6uR/nBi/k/Q9IQLoN7A684+iI+9ezXmzj/pLyA2r/f95ccC3aNbcDN+Z+1CBEH3A3N7D93o11dc+vjuR9DVBnDu6KIzAqBxwsEJUWpJPtaEEg4WSDyx38Xff7UdP7yjiDpnunaxbanzFEW54R1YWfEE2ShBC8jTuuVzFCa17rlsHWoAkwOB/g9nF285imJ5J4867Pfa6mvy2LLS+rXEcpNUpiY6Jlxo8mqkQlh82wSvEBPDooOyAChJEVR9nopEM1eaobbwlCseLyx+DnX+Odf0iQIs5ujr5Pjj11ThuxIf+3IFT+71AONwTMorG2tO9OVKnWgH+sosAO5F6OkYh1c+DQfHzrqxMvPUB8BHcKzjmAF+8uKZkHLzrsWz17zvc19/kG16pH7JJWdFWDIHcF3VNZjpSDY71zIfSMU8gSf3ubjmq20K3GDKQ5mR/1qAW9cj8WBFCNIskJM6iNOAO99PqBXvzigc2hpmlQwbu5knWauLVJMgObBnwGoBPbOgJNnteWCboCxYlVeNypGCXuvLMgV9oocDEFbGPEm0Qt3IjxLtLQIIFdr/kRvaqaNkYaQSOCeQDcB3BN54fg2QwDVfacf2/V6aNGGATg3AlRUnIHCIRIlJBD6wcLbElReVUOnpunnTgYvft+mpp3a/4YLB5x7g6h+1HD+9/b7dyxefv2nysHfJ04efxMyuBiptVXhObC0y05iSTGRgILHzgIOPfqUNP7ijiAZYWq87E+7aAtwktdx22Ye0IqxMQd6Kext3PLVAbF4DyeZh5oBv47j15d/m3iRzdyyjJaBluj1RTGDxaqRWmsKKVUHq/DGx3gKWemIgbD6UbJNJnKpxBikZgybyYpJ9IKyfpy05I+qqwKV6CwAgihG4ApdfUAMI8LdfbMeuAy7gy2aQ631LnbrjMqCzINDtM5SCVTjvjPM2RdF/7O6f+7LjgezxARwATls2C53ds64ryt0LaqNDV1Cyr3X2jV5IUqo07khK3Pewj6/8sITv31FCSAy48zeaATcMuGkO3HT6LmjNVCQbCkstkGaBPp3GbNOQLD2xgdxELY8G9KxDOAU0TGKDJRXmAq7MNuPGTuLFYcWvQIGaGplQA51qJ5BJPUucQca7aaOPQlESYnlszLnIF+OkiVHXi1lARhyuI3D5q6oAB778wxI2bgnQ4NAuS7NYVXlVnLgIJUEsJEIuAacDIZm3rrt/zXV7dh88XrgeXSbMj/7Zs/HEY7ePVboXvWXOQLS+o72BwAvhulHSh9JhUVKnmzkcNQDfvqWESz/YhXV36HhupxWwdWsR46XUCzyzoMzLgTbQ2XRAp1lg54GeUUOmsdiJ5bafm+hBIENBjhffLTfKbHxKPibcbm8iJMm8bjybafhsc0CWKnnWoqlVsl/TTZmmMeNWoFYmptyqlMUF0yUrKLhkkIJBSAYeM7iC4IoLqrjp/wzjza+bRInEmribsNsQEA2AR2hwidGQYKzhYLRRWL9s8ey3/OBHPxsbnDvzuAF+3BYcAFaedhHqY+urUr4urB38OuJGFb7HEQQNOCwCJRwSAmASU5zgOzeV8Ddfa8PohKuLYLey3NnIQANuU6jHgNtpQUuOZMVth04z1yZZC64B25y1QxKFIbHSJAve7CTIv3IUlJOUlyehKJblNrtLA6/ylj2NT1FdEFLXfN56m2AsQVPfC3RILaVAmrerM/mF6rlgLLuA8lSnMUnas2T9HklV301o+gfKAQ4wytFT5rj2T8fBqMQNN5UxFUqdoKl9l4yD+wVMEIb+rna8/arXhHtGSfWyP3gtnsl4RgAHAL9tKSDF/aJx7tl09CcFxibx6G6BagQUfIr5fRKHqww/vruAa7/RhtFJ17La04G8Gdw+sUutockN3yrOpFWGfFOCg3kPzVp2A85WMl7TItN6vzHjeXXlaMO+QCdgtkCfgBimIZP6ziTgynBuklrtJNOH2qG2KdATPZyk70vWl5qyCJ3qpo5LWW5uFraCquBsHUsuINQ26B+iFRjlYeXq+6lxNnF0lTn+9zsnELgSN91VwOEqw/w+joIPVEMHjz0VgxW68fsXr66decq8+xl95pUKnjHACe1BFE79tVe5VNYmHvvzH971cPCZdT0YGpWY2VnHhWfV8MhWF3c/pBpbwdEqCabj3DQDbpMN71gUZLoya03x3faistVNa9pNxX3yIDbSYQ6siUW33p+g2gL/0YBNrCemLILNtYkh2ARNfDx5L3Jg18+FmSFJGW0NYuhoQ8Aq/6BJtKWEUGiVJVmMUlAItd/kM0hiZtAEcqRXBJNlr41AHHF0FTk+8acTuPCcEI9sdXDRWQ30VoChYQef/KcahsWK+nv/6PzPlUvFv2kvB3im41kU8QBcryRo7UfX7Bqed/269WvDHft7MTTegfYiwKjAtt0OGnU7892UM3ZzcSbpgtJY7unc8CzjyEnbFDJiW+XWXDx9ng1aIvZ2GNUlr6K0yKy3UJ/Bcw7cLbGed823IORN1a0sCTDppQkrVDa55eqG6wWkyt+08zORcdsnLQqFxctNUkTGZW/lepqIRJlz6yeJE7o3kHCSey4c8Jih4AssmRMhFgSjUwyVUgmzuztwzdvmhK89u/P6L/zTHde0l4MjRgsebRyTJ/NIY6j4J/yxfYP3OZKFgx0Tv3PR2knyvy4bwZUXTmL9oz4e3xWoOt3J4tEu7WBCYbOW2wa3Q5rLPqSeyWzygt2ns1WXYlPfm7R4zebjNPc+Yk2KJHLQPDbc3PJ0tvJu5iMCM4tW/T3mebo9R5f0bGlNg3Kqj7WzDI1KYrWtfduzkACmY3O6gE4XHNljz12yrGMx92axLI0jx9wDcJjA3b/28d7P9eA32zsxdLgLcTxLLJy3+JoLLuj+9PnLJht/f/1Nzwqfz5iimPHlj74Bt956W42yk25sTBU/VojvxIq5HhxKQRlR1jqx3NpSJ33S0/9csqBsstzIRAXmpcF8s9am5GF7AZm33ECTJU/AmPk3kfRQk/+jzVly97nPHGnYEYOGduQ/k1hqov5I2E4dBdiUwqQUhepyDUpD184gqKqtQsgk6hCApUdDeTWpTLVwCUtSpJp+iCRC0XDyxMOp6YoJ2ZVE96SXqhuz0Hq3x4UuqOnikSc6QRsUJy1aIw/V5ty4/Zf12svOu/LZwvPZAxwAFi8aRIxZ23x47/L48Fck/zH95i0B7t1UBhwfYJ4GOs1qahoUNrhtlSTfUjsTTEWarXQTH7e3N1nkZuCTlpOD2AasaeIgNxlyOD+2kdfDLVCb/ZltxGDKOHj0q4kWrtthm+ZNKhGCAFSqHpSJuqL5sbHWtiMo6eGeHhGhFFIItUl3Q5Y61FZp5eo+SaCAVB2aqbloSJWKJlT0qWAUjQg4Z0WEN79mFP//30pYe+bLRV//wnctX7Z422NPHHguoPncAHzBwqWoj28K/ba137jl5xuKd90/97P//LMR7BttBzwfhDkgJG0LrpWpxII6RB0IheJMDNlgqXzXs3xyQOs6J0cHtw1gOyblSLKibb1bA/u44a3OieXNzO7BxA6ma0YqrYhC/R4BCbvnO6UkUU7SBaPZAckU7DHx4vYEACgI1R3fhF5eslxmkFAFlqQUKt0sUWtIGqoiaKIMmclICMAEhxQUPRWCD185jgvO7AUrjn3gla9Y841f/mobP3fNshcPwAEgaF+J32zZy1edctWTjx54cCJyb2sDm4LjOCgyFV8AAJFUGdUmS4NocDdp3GhluVMgZ0GZRgja1julHK0kRAVYwOaVuTQpK6qOJJwmu/iENVGeObxzQ8ICrzmWnAtfbzd4ta08kFVjhE4HU20FkVAYE1KbaN9WilnirjfJCjqPk1Lt6hcEhEqkGfp6QujWx0mZY6tGi1mEAgAlAq5LwYVEb1cv/uCk359w2s97Mop28nPXLHmuYPnsVJT8KBTKiHh485t/78x3f+BPLhie1dOGEji6fIFOX6LNlQiYVN3NDLdGawucpJDBvm/VcsQCPHJANgs/kgW7vWhsXjDmF5XKsqVrrfwUsJ5lI7GOe9ilIwAb4KQJvHkPZjbxQfW0FML2TqaRh8L2amoVRSTeTgNYpCpJJlnC7rRsbzOVtfSCUt/s44s5QyN0Ua0FqNYDNBoMhHXB73rjsFO64N1RNbrZdcvPJSSfOwsOAIsHKwCAvU+Pfvdtb3iZQ4Hr/vWmf58RTY6CElXTosFVARoT3G6oicFFk87dIrS1lQueNgE4q1g0hcYeK7hpLoWtiYOrjcRaKNrNqo4J2AmMkZhic3Wzow0JslZdQLXzMMAXIKDKhwzoRabSrWXaA95cBuzeO5r7qAhCZGaYcfoYQq6uAHoC6QluHEqmXQqxjsk0TSCa6jRCD5M1H4BAZ0cXurtefqjQffFfShF+122f9VzCMcHXcz5m9XZgaHj8W297wzlUThy89r57759BCMHm/cBkDNRMFJy24gSWdxE59zvSx03OHGsbyYPfJCpMx7mPAO6EdtCUwuS9PXahhWQB2nQmjt2Um3calz1Buqg0b8hI5caaC1V6weAUdHqQE6guEKZWt523qWiJTKMLKUljyoFE6iGa+6jjy3dfTi156klOs7wIkRid9LFzXwGUErTNOO1QoevVH4kj8S3X73k+oPjsdfDpxvXXXYtTV5+5sb3kHuqp8JcvmztScINR3PuYWaUrz5bRvu2uC2n2TS5y0M7OodlE4iThIZd5k9G2j9Fym4wdg+l8UFZeXUkXqnmtmzS/P6eDZwK8rKuEvb2la5RM+yRRdsxrZnVA7P1Y78mk2pnvTp7IpmNL1yX6I8nVVMWGU2p6dabVzhwnRqk0hR+u9/Hvvyqjr3dwuK9v1gefPrj7W7Pnrnq+YPjccvD8uPKK30dvh7hh6ZJZ75WFromnhkLIWgjUq6qhUVJUX2ZOXjr7LYDRrKXOU49mIFnvmQ7cdtpajpbY3wUb3Mha76wPf7ozcWyWPO/MzHd3yFebzXg5bb5reLWwEowTDyWszsPNSciJN9Pw9pbl3VJObmf7p95WYo4WhEo4LEKpUEepGKK3cwJrV5cmiu29792ys3HDaWtf93xC8PmhKPa4/4lDIvDZutHxgXhgpvedV5/zYLBjH8GW/Z1AwVHWFqkSkFksIkdNaKsowlaad/NjG9w2gI0VNyEWhOZbdectbnYhmacpx8pKZKu3ymk+n5FTUueOPUy8H0kUk/T4pS5yaVKLKZXgIJp/6B8urIon+UBBaT2HOmdp6Yq0wRU1mrw0GaCKjxeCCDsPRti0PcC8gVPra0+d8bZy+/APw4Z4Vm74YxnPG0Ux485bfoI3vOFN8jfbVz1+9atHNl/16sbvLerf42x8soCRiSIKLoFvATfvkmdU0ZeUnkiwPIAT2kJaAtx2r2fBnaUlmdcoaXE1yIGf5BegFg3JP291hQGaHjdRFYXRLPBzrk6ZeUCaXs8rP+ku7MmaUpjMkoOkrtXk+Kx9pM2AAbtDhhkFn2P3oQh/99UK7t9xdr3UvvCPX/uapT/avInyVae/9fmG3/NvwQHgHVdfDjn1DxzFc/5VDE9e5T3Bvi3pSNGnFGXdHtzOQklOnkVT7AI+rZSRVp0XjgTuDCXJce58j528zp1wz2P8/ce+1MwO26AneZwJms1BWKK53mRKuFEik545xHxYWJ+lUtclhHLNa2cQMS54aV6X2ZBa/f2UEOXgSRN9kkOMOYMQBGHEUaszLF6ytLr98Lyrb7jvf/zr+s03yu9/9rLnH3h4ASy4GR/75C14xx+vQmX2/M39J7fvODxeuCCqTQQVj4OCoiFUXQwCveA0N2YsuGy2zokFJ7lFZovFpm3dqcW/KbFeM63/chYepKVVtS3ZkSw4jsOC28/t+KWMNdf3xouZKbIm7YdqZ7ae3sSlMtY7PVbYv9ey8pkoi+Qc6c4fzFQPJogiF7WGAyEJ+nrnj522YvCdb/mjf1m3fSvD1/7+2ceYHOt4psblGY83/eUNmDfYhaladJUbTX1mx5bN3U8dGsHjhyimQgdlD6i4EkVXwnckXJatdZL3VLIceNmRAG1x7sSCWwtQ809T96nFNg/Sx9nXEoAm/L01NcmHDQDZxXOyBqFZ4aQJ5PnHmeOWzfsiKY1QVyvTnl0bjqR/qTEkUjWMtluzG8kvoSQK0I7D4bscvheh4DVQCEJUGwTbdnXCcfuxaMn8w10d5P2x8G5wyWGUBv78BcXbCw5wM4YOj8Bx2Fs2bHjgU4f2/nTGhsd24F/u6kSINvQVJMqeRMGRcJ20qI9t2WwrnS2cqbm4DXRLKbEVlSTMVe/Tro0y/RlLX8wDXGnQ03PvVnExgBVWoPczHcBzX591EAG5K0HWR6BonkwBnylMqhr5mm4YNujtnqd2mWwFcAnX4Qi8GIUgRFtxCoxN4Du3F7Bn/3JcfdnFh04+9cwPcx5/s1iqnBCcvSAcvNXo6e5E1Kh984JXvYyMHqhf+8rTb5hRDQ/ge3cXQYsUHpXwHAnXsVrLWf/QvC6b4dMWL7c5ejbOm2SAl1FKrEt2y0SEaX6TyaM8HqtxTCqj/d0ZCoLUta/Jb34dIa1OchBKgaF6RhMqswoJJdqRoxUSIM31hC6mD50+x1XIrZRq4viCwnVi/PNdAt+4bSH+4k0XHFq68qyPNCJ8s73txIAbOIEABwDXLyAKJ7/ROfOcmLfXPvvK02/p/PEvJAImEHgSgQu4jrLQQqr2zRlhyb4U50Cd1blTcNtWNFtSLaUl0PtMY7PTWiP6a/Prulxoq0G6XWx4+mGLJPmrh/00cSrmYlbsA7GvQMqfpn6z1KGrkqRHbBaeRtcXkDCNZPPVtMzXCEEQcyUPMirBuS7W43AIwXBwYhHeesXvjlz6mrUfFALfqbQXcSLHCQU4ALheGVLWvitLrxhu69y/8OpLy9ff/x/3uUWXoBgweK4CYBRL1ENdWAaWhyq/IKQ5Lq7BzawFZNI33tAVpLKfPQiBdkZZSQYZlCFZ4JmJME3M6zGNpvUcsYSTXARWNpUt3Z5QOKQTVOrfCQBJxGCyZ2P6iU520BxeIqmspsInTNIEQSNkiGIKQiV8RyCKJeLYQd+sC6M1p8gPnbHmjCeZW/xppf2Ew+vEAxwACCmIBzZuvXntmjd55dLj1cEu9uVfP/gwkSKkxYDBcQgmqwKjkwIxVwsfhwFMImN9iQVqo2Xb4M6qJSbuJOtyt01yEqNtMmEMqKW0LLYJLEqBnWDbCpqa9rebz9jottcb1nuMypdEDQpkPJpAuh/zvWZSSmp5Q4lMv59AF/1JLbm5IkptwilVvVFVyWsHh0Y9TFQpXEci8AgqbYEY6F8hSWHRey59zaJvj48eCDsqS080rAC8SAAOAGtWL8HDv9kcLpjb910Rh3cT2bhsdGTo4+NjT6Or4qGjXMWGLVU8tLWISqAWOZnFZkb2m/6e5a33NBQFsNzeVFk2aVlPO2Y7uwiUaWD/Ucy4LccBWbqVm2vJ8Zh7FQ6bJhojtw9h7aepiD61rHcT2JG0PDFXLkolfDdGudjAxm0c92/uQjlwUS4C8wdnotLd83cdXfO/7xX69xzYfzgcmPPiADfwIgI4AJxy8nIAqK37/o+2zluw6FP1yYpXr3b8tSd2spMXDWNM1PFvDxVRdIDAtVz6hoaQbAwJS0BNMwBX/Lw5YTivUEihOCk4EqsnpdTFc5rSEaDqlaRbDEJb5Vm2iI9KwhRICwueXAk0SLmefFzkryj2AjOlKKZSm3F8SO1GJ0LfSxVpCL2d6yudI9VVynUE2ss1PLQjwp0PlnD2MoYFCxbynr6+T6xaPutTW3YM8YVLj69u4AsxXlQAN+OKy16Pm266mV/5h5d/dHRk2Dm8798+4MfD/lS9jogry80owBwCxoiiKy3kQKWTKzAzZi80SYsFZxZUgAoZVWWBtZdPp4AJKTOUwNhskzIGZBOJW4281U5uiSQqsxNOI9xkQgkBxEJCcF1n0N63rShRlUpmzo3ambrjRHkp1YTQKomQiEGSY2eEgruq7w4lHB1lgY7OTqw5a23j8tef9397eno+euvPf4KLX33JiYbNEc/zi3LUqhMICg1Izq7dvfvRs9/5iR/Tw097Z9PakNNTYSgVKDyH6rxNS2/WlppRAoeZSUAtLp7Vo+3kiTyoIg5EkUQjEghDgSgWiTwG+zuTiZWfSMhcMcz3skSPNlcbS8dPHCrp8UiprHUUEzRCoBFJhJFEzCVMu0FYx5Lc01QpMotvpktDqptUBoLlc1qVJu57AkU/QqVcxax+L67z2oZx751i/pzlG2oN8pHuikRHpf1EQ2Xa8aIGuD0++48/huN6bVOTE1/bs2vn5eMjByhkA77nACBpDWzj1GAEDiVwHArH0QBnJGPpUyuXi0LUjhYhgTgGag2JqZpAtR4jimRiwe0JlVAka0HLbNWmBcCzzikLgHZxI6oXsgC4IAgjYKpOMFWTqDc44lgki18D5mzYgaX764lvwO06UI40Bu25VFcNw78B1Viks+JhcE6XGJg18L1CofiOOI4nBha9MLEkz3a8ZAAOAJsf345CIejZ89S+923cuHFlWJ+8dOfOHeCCggvdz0X/KMYIHIfAcyg8l8FxFeAZy8ePW6G4TIHLYcqbBwCcE0xMERwaiTE6ESmAI7W+jBBQll4xGFMgSygRIdMD3AKxQ6H3owFHobyL2uNo1JBGRDEyQXBoOMZkNQbXv9lMKPU5kqw1bKeP+X6HUXgu9E050xyaeiqFIKg1BKo1jrnz5qNvRtuNy1ecvKm7u//zYVgf6uiZf6KhcMzjRcnBpxvLly4AgKF9+/b+7SkrF819fMs2LF0849JHNj2ELU9OAcTLxZRoS+oQeA6Ba5pI2DslOjRXX66NVXMdoZ9LtJcE9jwtcHBEwmXSusyrIjrMxGGbRablEZ3OhCTSnkXGs5RFavqgbkyDvcuRqEfA/mGBel17eqlyiDkOgctIspBMKU7K0ZnOnySEgqnu3KqigaOugHEsEfMQU3EJcxevwMnLF984OG/Rn9Wq1V3F9v4TDYHjHi8pgJsxMDALTx8a2bVg4bIPDvbT786dO/t9M3698+UH923GI1vGIOGh6FN4ngRjCtyBDw0GqTsRkMQramIzHAfwXAHfEyh4AoHP0dXegCQT+NnGAE8eLGGgQ3lYPVfr4rogrqBWLx3j/AGSwKumocGd12IIdJwIk8kE81wBzxUIPI6Z3VUcmmzg8f1tcISLrrJA4BH4QsKXaY95UxclzZ5XjykFHO3McR3lLnMdiYLPUW+EGK5WcOqqk9E+Y8E9XJY/v2LZgt/Uw3hX1+znPiH4hRgvSYADQO+MTgB4Qkr5xMzZ2DQ6zvovOn/gH2/++c5Fd9z9KBMiRiFw4TAC3wdKgYTvKY+cWaiFGuTm8u1QBaaCx1EqcJSLIXo6JgE6gkhWcGiyjHKg+L6p5EqIBDWaNDXWM80cNleSPMYTC54LbLE9sQ6T8BwB3+Uo+BylQoiu9il43hQOTPpwuK/c5UInAusoQEem4bpCSnAuEEYSEVfavDoPauITSBT8COUiRf/gaj4DC5+Y0cHeuWbtOfsBbCXkJcVim8ZLFuBm6H/AVim3b41jcfEZp1VmrT517Q9+fvs97WH16ZLrhCj5Ah1ljrZiDEKBsUkXYcwQN3STAUfxUaYDvAKfoxhEKBcaKBer2Dsc4ulhglAQ1CICj8ncolB5Va2jsgK6ssFcxtmSFNDRLvG05EQ2Ws9xlPX2PA7fi+E4MWZ2hugs17HrYBltPgUlXHF1hiS0gTG1uOZcIgoFpuoC41PKcpcLRFtwwPHKmD04Y2rpinPHJ2vRG8f4zL2E0F0vdWCb8ZIHuBmELIAQYteZaxbuGR6ZWOE5OMt18PX9e7fHU6Pbutr9fW29XSNoxA1U690gKGOyKhBGQLlIEXhqUeg6Ar7HUQgiFAohAr+O+zZT3LPJR3tRIuIEESdwhQTnEoJZLUOkcZTkU+FSL6miRUpXN7q7MMCHpigkVVMMB3cZh+twRDFwzsoQZy2fwOanOjAWump94Uh4ji6qSQh8j6CtSNGIBKo1oBZJ7ByNILmDwW6Gwdk9E2tOXzq8fNlipxiQt/f0zbu3z20bg5SCPIuC8y+28dvzSwBQSkEIEVE4NTJv7qxb29vbl6z73i0LX37+ZZ9YserkR7tmBA996/aZ9W1PVTCjcxIHRsex+2CIekMkYZ+eJ1DwYxT8EEW/DtdpqIZJuoW4kEAsoKqiak+i4bdJ20FqtPdUhzeYkZDgAoi50rB5so9sPInNwx0mwKiqL6JoDUXgxIBoYDwEJkKKekgQxlI3nSIIPII5fTFmdE9g30iEtSvb8ZGrvHr3zPaHTjvzrEffevWVn7jzth8vLJXalrR19N96eKQ6Qgj5rQI38Ftkwe0xc2Y/oBhAdeTwLhDiXs8ZvX7Dk69ka1Z3f3nujMaSkrv53PqDB1ktUgDjPILjcBT9GOViiK72GkqFGg6MxLhrYxsAD66W0lToLgEXiv+agvMgtlynVA2TMC0lEEHp6jFXE0oFNCmPD+OAcFKXvEqulmBMgDGhZEtJEHMKKV2cf1odt2yYws7hABAOXELhuxyNUCAMI7iOh64KR6nDwbxFC/jq1UvWn3oS2zo4d/xdt/+a8EIhwPs/9HE5b97c6on+fz2f47cS4Pbo7J4LpEu5WIrhd4D4nQcOnfLJgf47vBHs5rMG2k/r6SSnVwp70VY4hKI/hoOjIRaVaxieJNiyK4BHHZS0Xmw8nE6s+jnaaowBtusSeK56nRndrg5UY4F6g+twAwJHqOBfRmjaLRha7XAEXH0jRIILijDyEHMfSwcb6CnG2H1oHL0dFPtGfUQxQVelhDmDMzGjy/u1548/eNKCLrb23EtCyWb+VSTrI6/4HZV88PEPnOj/zAszfusBnh+EdgHACIA/BYD771sPgLyckvCizuKcN7YVhk4aHh/Cp/9pG/7koho8dxyccxQQoeIRAAzjdQrfBQgEXEfq5kyGmlC4DkXgqYWrq9PuSoHAZI1j536BqZpEwSdwHQKXUb3oVM9NjW5GlRZv0sF8V6Ba8zA2SRF4U5isCcAJcNHpBbzj0nHcs+0MUNmNBTODLYvmVH5QLvm3CSHvWXLqeQDec6JP+wkb/+UAnh9rzzwXAO4J60P3APgFo+HCwzsPinu3/ki8/hVd8xf2lz581uqnEDc6UWH7MDQ6jG2HYuzY56K33YPDJAJXQgSqJqDDgMADioFEwVcLPkaBvq4QpXACe+/3EE55GOgCBAcahKPApQY4RRRLSCnAGIfnxigGNbQVhrFtr4sde3vQ3jYTvX0LEbQN4U2XrYYTTX7qwnMe2rH6zHNpJGfTcoE9CeDWgb6uE31qXxTjvzzAzfCCHgC41TyX8X6ABR179uzesHp5gCgsRa84dcmfex6/cGQqxC8fJbjpzkdAwzG4HkGxSNHW5iLwJBwaoRzE6GyvY/cBB1x4mNtXh+eNYmSqDFmlCGYyxFLiqadjdJYYAI4gKII6ARw3RrEAlAoxKpVOVPpeBTlZQZdTRNlntwfl0c/G7gz3/LNPhVtYeM/e8PLRpQuen+KVL/Xx3wCfZhCnHwBGAdwEAFFtHyDxOHPjPohYtHVz3P2rHYhHqnAcwPcYhBDRmjVnXCPiyd+tFGtRnU9hdL+L+X1FdPY20E6Gcc7pAWhcxsp5DubNmsSGzRL1qo++7sDt7mz/yZ6dj1xDmeO6rgPHZXCDMrz2M9HV24EuEFoq4OCIxI5lKwZO9Cl6SYz/BvgxDrcwAAA79K3lePjh+0CAd4yOPF0pB1XZmPAQUw/l9gKCQgTJHPT3+mCiiN5eB0sWMOyfIBgaKqCnJyAD/f1jA7PnHDzvZWfn9nztif75L9nxn01PtsHqS51CAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDIwOjA5OjIyKzAwOjAwiyHcqgAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QyMDowOToyMiswMDowMPp8ZBYAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', '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: 45273301
    {'hecke_orbit_code': 27021597797779478, 'n': 1, 'trace_an': 1}
  • id: 45273302
    {'hecke_orbit_code': 27021597797779478, 'n': 2, 'trace_an': -1}
  • id: 45273303
    {'hecke_orbit_code': 27021597797779478, 'n': 3, 'trace_an': 0}
  • id: 45273304
    {'hecke_orbit_code': 27021597797779478, 'n': 4, 'trace_an': 1}
  • id: 45273305
    {'hecke_orbit_code': 27021597797779478, 'n': 5, 'trace_an': 1}
  • id: 45273306
    {'hecke_orbit_code': 27021597797779478, 'n': 6, 'trace_an': 0}
  • id: 45273307
    {'hecke_orbit_code': 27021597797779478, 'n': 7, 'trace_an': 0}
  • id: 45273308
    {'hecke_orbit_code': 27021597797779478, 'n': 8, 'trace_an': -1}
  • id: 45273309
    {'hecke_orbit_code': 27021597797779478, 'n': 9, 'trace_an': 0}
  • id: 45273310
    {'hecke_orbit_code': 27021597797779478, 'n': 10, 'trace_an': -1}
  • id: 45273311
    {'hecke_orbit_code': 27021597797779478, 'n': 11, 'trace_an': -2}
  • id: 45273312
    {'hecke_orbit_code': 27021597797779478, 'n': 12, 'trace_an': 0}
  • id: 45273313
    {'hecke_orbit_code': 27021597797779478, 'n': 13, 'trace_an': 0}
  • id: 45273314
    {'hecke_orbit_code': 27021597797779478, 'n': 14, 'trace_an': 0}
  • id: 45273315
    {'hecke_orbit_code': 27021597797779478, 'n': 15, 'trace_an': 0}
  • id: 45273316
    {'hecke_orbit_code': 27021597797779478, 'n': 16, 'trace_an': 1}
  • id: 45273317
    {'hecke_orbit_code': 27021597797779478, 'n': 17, 'trace_an': -6}
  • id: 45273318
    {'hecke_orbit_code': 27021597797779478, 'n': 18, 'trace_an': 0}
  • id: 45273319
    {'hecke_orbit_code': 27021597797779478, 'n': 19, 'trace_an': 4}
  • id: 45273320
    {'hecke_orbit_code': 27021597797779478, 'n': 20, 'trace_an': 1}
  • id: 45273321
    {'hecke_orbit_code': 27021597797779478, 'n': 21, 'trace_an': 0}
  • id: 45273322
    {'hecke_orbit_code': 27021597797779478, 'n': 22, 'trace_an': 2}
  • id: 45273323
    {'hecke_orbit_code': 27021597797779478, 'n': 23, 'trace_an': -1}
  • id: 45273324
    {'hecke_orbit_code': 27021597797779478, 'n': 24, 'trace_an': 0}
  • id: 45273325
    {'hecke_orbit_code': 27021597797779478, 'n': 25, 'trace_an': 1}
  • id: 45273326
    {'hecke_orbit_code': 27021597797779478, 'n': 26, 'trace_an': 0}
  • id: 45273327
    {'hecke_orbit_code': 27021597797779478, 'n': 27, 'trace_an': 0}
  • id: 45273328
    {'hecke_orbit_code': 27021597797779478, 'n': 28, 'trace_an': 0}
  • id: 45273329
    {'hecke_orbit_code': 27021597797779478, 'n': 29, 'trace_an': 0}
  • id: 45273330
    {'hecke_orbit_code': 27021597797779478, 'n': 30, 'trace_an': 0}
  • id: 45273331
    {'hecke_orbit_code': 27021597797779478, 'n': 31, 'trace_an': -8}
  • id: 45273332
    {'hecke_orbit_code': 27021597797779478, 'n': 32, 'trace_an': -1}
  • id: 45273333
    {'hecke_orbit_code': 27021597797779478, 'n': 33, 'trace_an': 0}
  • id: 45273334
    {'hecke_orbit_code': 27021597797779478, 'n': 34, 'trace_an': 6}
  • id: 45273335
    {'hecke_orbit_code': 27021597797779478, 'n': 35, 'trace_an': 0}
  • id: 45273336
    {'hecke_orbit_code': 27021597797779478, 'n': 36, 'trace_an': 0}
  • id: 45273337
    {'hecke_orbit_code': 27021597797779478, 'n': 37, 'trace_an': -6}
  • id: 45273338
    {'hecke_orbit_code': 27021597797779478, 'n': 38, 'trace_an': -4}
  • id: 45273339
    {'hecke_orbit_code': 27021597797779478, 'n': 39, 'trace_an': 0}
  • id: 45273340
    {'hecke_orbit_code': 27021597797779478, 'n': 40, 'trace_an': -1}
  • id: 45273341
    {'hecke_orbit_code': 27021597797779478, 'n': 41, 'trace_an': 2}
  • id: 45273342
    {'hecke_orbit_code': 27021597797779478, 'n': 42, 'trace_an': 0}
  • id: 45273343
    {'hecke_orbit_code': 27021597797779478, 'n': 43, 'trace_an': -2}
  • id: 45273344
    {'hecke_orbit_code': 27021597797779478, 'n': 44, 'trace_an': -2}
  • id: 45273345
    {'hecke_orbit_code': 27021597797779478, 'n': 45, 'trace_an': 0}
  • id: 45273346
    {'hecke_orbit_code': 27021597797779478, 'n': 46, 'trace_an': 1}
  • id: 45273347
    {'hecke_orbit_code': 27021597797779478, 'n': 47, 'trace_an': -4}
  • id: 45273348
    {'hecke_orbit_code': 27021597797779478, 'n': 48, 'trace_an': 0}
  • id: 45273349
    {'hecke_orbit_code': 27021597797779478, 'n': 49, 'trace_an': -7}
  • id: 45273350
    {'hecke_orbit_code': 27021597797779478, 'n': 50, 'trace_an': -1}
  • id: 45273351
    {'hecke_orbit_code': 27021597797779478, 'n': 51, 'trace_an': 0}
  • id: 45273352
    {'hecke_orbit_code': 27021597797779478, 'n': 52, 'trace_an': 0}
  • id: 45273353
    {'hecke_orbit_code': 27021597797779478, 'n': 53, 'trace_an': 2}
  • id: 45273354
    {'hecke_orbit_code': 27021597797779478, 'n': 54, 'trace_an': 0}
  • id: 45273355
    {'hecke_orbit_code': 27021597797779478, 'n': 55, 'trace_an': -2}
  • id: 45273356
    {'hecke_orbit_code': 27021597797779478, 'n': 56, 'trace_an': 0}
  • id: 45273357
    {'hecke_orbit_code': 27021597797779478, 'n': 57, 'trace_an': 0}
  • id: 45273358
    {'hecke_orbit_code': 27021597797779478, 'n': 58, 'trace_an': 0}
  • id: 45273359
    {'hecke_orbit_code': 27021597797779478, 'n': 59, 'trace_an': 0}
  • id: 45273360
    {'hecke_orbit_code': 27021597797779478, 'n': 60, 'trace_an': 0}
  • id: 45273361
    {'hecke_orbit_code': 27021597797779478, 'n': 61, 'trace_an': -2}
  • id: 45273362
    {'hecke_orbit_code': 27021597797779478, 'n': 62, 'trace_an': 8}
  • id: 45273363
    {'hecke_orbit_code': 27021597797779478, 'n': 63, 'trace_an': 0}
  • id: 45273364
    {'hecke_orbit_code': 27021597797779478, 'n': 64, 'trace_an': 1}
  • id: 45273365
    {'hecke_orbit_code': 27021597797779478, 'n': 65, 'trace_an': 0}
  • id: 45273366
    {'hecke_orbit_code': 27021597797779478, 'n': 66, 'trace_an': 0}
  • id: 45273367
    {'hecke_orbit_code': 27021597797779478, 'n': 67, 'trace_an': -2}
  • id: 45273368
    {'hecke_orbit_code': 27021597797779478, 'n': 68, 'trace_an': -6}
  • id: 45273369
    {'hecke_orbit_code': 27021597797779478, 'n': 69, 'trace_an': 0}
  • id: 45273370
    {'hecke_orbit_code': 27021597797779478, 'n': 70, 'trace_an': 0}
  • id: 45273371
    {'hecke_orbit_code': 27021597797779478, 'n': 71, 'trace_an': 10}
  • id: 45273372
    {'hecke_orbit_code': 27021597797779478, 'n': 72, 'trace_an': 0}
  • id: 45273373
    {'hecke_orbit_code': 27021597797779478, 'n': 73, 'trace_an': -10}
  • id: 45273374
    {'hecke_orbit_code': 27021597797779478, 'n': 74, 'trace_an': 6}
  • id: 45273375
    {'hecke_orbit_code': 27021597797779478, 'n': 75, 'trace_an': 0}
  • id: 45273376
    {'hecke_orbit_code': 27021597797779478, 'n': 76, 'trace_an': 4}
  • id: 45273377
    {'hecke_orbit_code': 27021597797779478, 'n': 77, 'trace_an': 0}
  • id: 45273378
    {'hecke_orbit_code': 27021597797779478, 'n': 78, 'trace_an': 0}
  • id: 45273379
    {'hecke_orbit_code': 27021597797779478, 'n': 79, 'trace_an': 0}
  • id: 45273380
    {'hecke_orbit_code': 27021597797779478, 'n': 80, 'trace_an': 1}
  • id: 45273381
    {'hecke_orbit_code': 27021597797779478, 'n': 81, 'trace_an': 0}
  • id: 45273382
    {'hecke_orbit_code': 27021597797779478, 'n': 82, 'trace_an': -2}
  • id: 45273383
    {'hecke_orbit_code': 27021597797779478, 'n': 83, 'trace_an': 4}
  • id: 45273384
    {'hecke_orbit_code': 27021597797779478, 'n': 84, 'trace_an': 0}
  • id: 45273385
    {'hecke_orbit_code': 27021597797779478, 'n': 85, 'trace_an': -6}
  • id: 45273386
    {'hecke_orbit_code': 27021597797779478, 'n': 86, 'trace_an': 2}
  • id: 45273387
    {'hecke_orbit_code': 27021597797779478, 'n': 87, 'trace_an': 0}
  • id: 45273388
    {'hecke_orbit_code': 27021597797779478, 'n': 88, 'trace_an': 2}
  • id: 45273389
    {'hecke_orbit_code': 27021597797779478, 'n': 89, 'trace_an': -4}
  • id: 45273390
    {'hecke_orbit_code': 27021597797779478, 'n': 90, 'trace_an': 0}
  • id: 45273391
    {'hecke_orbit_code': 27021597797779478, 'n': 91, 'trace_an': 0}
  • id: 45273392
    {'hecke_orbit_code': 27021597797779478, 'n': 92, 'trace_an': -1}
  • id: 45273393
    {'hecke_orbit_code': 27021597797779478, 'n': 93, 'trace_an': 0}
  • id: 45273394
    {'hecke_orbit_code': 27021597797779478, 'n': 94, 'trace_an': 4}
  • id: 45273395
    {'hecke_orbit_code': 27021597797779478, 'n': 95, 'trace_an': 4}
  • id: 45273396
    {'hecke_orbit_code': 27021597797779478, 'n': 96, 'trace_an': 0}
  • id: 45273397
    {'hecke_orbit_code': 27021597797779478, 'n': 97, 'trace_an': 16}
  • id: 45273398
    {'hecke_orbit_code': 27021597797779478, 'n': 98, 'trace_an': 7}
  • id: 45273399
    {'hecke_orbit_code': 27021597797779478, 'n': 99, 'trace_an': 0}
  • id: 45273400
    {'hecke_orbit_code': 27021597797779478, 'n': 100, 'trace_an': 1}