Newform data - 145.2.b.a

Formats: - HTML - YAML - JSON - 2026-08-10T00:56:01.003357

• 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': 580, 'analytic_conductor': 1.1578308293085655, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [145, 2, [117, 31], [1, 2]], 'cm_discs': [], 'conrey_index': 59, 'dim': 4, 'field_disc': 1089, 'field_disc_factorization': [[3, 2], [11, 2]], 'field_poly': [9, -3, -2, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [3, 0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 68753031313, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '145.2.b.a', 'level': 145, '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': True, 'level_primes': [5, 29], 'level_radical': 145, 'minimal_twist': '145.2.b.a', 'nf_label': '4.0.1089.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{2}q^{2}+(-\\beta _{1}-\\beta _{3})q^{3}-q^{4}+(-1+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '145.2.b', 'trace_display': [0, 0, -3, 0], 'trace_hash': 1694452507344737291, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '3.995', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '81.438', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '2264.216', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.519', 'prec': 10}, 'traces': [4, 0, 0, -4, -3, -6, 0, 0, -2, 9, 14, 0, 0, -12, -1, -20, 0, 0, -16, 3, 16, 0, 0, -6, 1, 18, 0, 0, 4, 21, -2, 0, 0, -12, 20, 2, 0, 0, -2, 9, 4, 0, 0, -14, 18, 24, 0, 0, -28, 3, -28, 0, 0, 18, -27, -12, 0, 0, 20, 1, 24, 0, 0, -4, -19, -54, 0, 0, 12, -24, 4, 0, 0, 24, -15, 16, 0, 0, -34, 15, -8, 0, 0, -16, -2, -18, 0, 0, -20, 12, 40, 0, 0, 18, 12, 18, 0, 0, -40, -1, -36, 0, 0, 18, -12, 18, 0, 0, 30, 15, 56, 0, 0, 24, -18, -4, 0, 0, 32, 21, 38, 0, 0, 2, -36, -60, 0, 0, 46, 3, -16, 0, 0, 36, -19, -12, 0, 0, -12, -20, -46, 0, 0, 10, -3, -48, 0, 0, 50, -51, 8, 0, 0, 24, -15, 2, 0, 0, -2, -27, 24, 0, 0, -4, 13, 24, 0, 0, 14, 42, 8, 0, 0, -6, 36, -70, 0, 0, -44, -18, 2, 0, 0, 24, 4, -30, 0, 0, 40, -36, -64, 0, 0, 48, -15, 28, 0, 0, -8, 3, 40, 0, 0, 28, -36, 24, 0, 0, -56, 36, -10, 0, 0, 12, 41, 18, 0, 0, -24, 27, -4, 0, 0, 36, -50, -84, 0, 0, 28, -18, 56, 0, 0, 24, -41, -20, 0, 0, -44, 5, 38, 0, 0, -24, -45, -72, 0, 0, 100, 0, 18, 0, 0, -24, 54, 76, 0, 0, -64, 19, -2, 0, 0, -54, -19, 48, 0, 0, -48, 3, 22, 0, 0, -48, 53, -12, 0, 0, -32, -24, 6, 0, 0, -4, 4, 30, 0, 0, 12, 9, 24, 0, 0, -90, 18, 24, 0, 0, -36, 15, -128, 0, 0, 80, -18, 72, 0, 0, 12, -21, 16, 0, 0, -96, 56, 34, 0, 0, 14, 3, -16, 0, 0, 8, -21, -78, 0, 0, 128, 123, 58, 0, 0, -24, -16, -80, 0, 0, -20, 2, 26, 0, 0, -18, -42, 120, 0, 0, -50, 96, -38, 0, 0, 36, 30, 20, 0, 0, 90, 12, -12, 0, 0, -40, 36, -36, 0, 0, -68, -84, 40, 0, 0, -108, 44, 18, 0, 0, 40, -12, -12, 0, 0, 42, 4, 48, 0, 0, -12, -21, 24, 0, 0, -96, 9, 40, 0, 0, -64, -5, -18, 0, 0, 36, 39, -12, 0, 0, -16, -24, -24, 0, 0, -12, 26, -54, 0, 0, -76, 12, 8, 0, 0, 18, -30, 60, 0, 0, 26, -69, -68, 0, 0, 72, -1, -30, 0, 0, -52, 15, -118, 0, 0, -56, 48, -72, 0, 0, 0, 48, 80, 0, 0, -48, 36, 24, 0, 0, -4, 18, 64, 0, 0, -20, 17, -54, 0, 0, -8, 69, -48, 0, 0, 18, -4, -32, 0, 0, 30, -63, 8, 0, 0, -38, -36, 132, 0, 0, -6, -129, -82, 0, 0, -72, 96, 10, 0, 0, -44, 36, 76, 0, 0, -60, 60, 84, 0, 0, 34, -30, -48, 0, 0, -18, -18, -46, 0, 0, 16, 3, -46, 0, 0, 16, 4, 126, 0, 0, 44, 3, 56, 0, 0, 96, -20, 36, 0, 0, 34, 19, 116, 0, 0, 36, 27, 72, 0, 0, -12, -39, -16, 0, 0, 48, -108, 12, 0, 0, 82, -100, -164, 0, 0, 46, 74, 120, 0, 0, 72, -84, 112, 0, 0, 120, -6, 2, 0, 0, 24, 3, -152, 0, 0, -48, -40, -84, 0, 0, 8, 78, -136, 0, 0, 30, -24, -50, 0, 0, -18, -51, -52, 0, 0, -8, -144, 120, 0, 0, 16, 54, -82, 0, 0, 6, 32, 24, 0, 0, -114, 15, -36, 0, 0, 10, 49, -42, 0, 0, 112, 12, -44, 0, 0, 132, 18, 2, 0, 0, 64, -63, -32, 0, 0, -24, -51, 48, 0, 0, 4, -45, -8, 0, 0, 54, 12, -20, 0, 0, 62, -13, -112, 0, 0, 24, -80, -144, 0, 0, -36, -60, 84, 0, 0, -60, -21, -14, 0, 0, 48, 42, -68, 0, 0, -8, 36, 264, 0, 0, -38, -6, 112, 0, 0, 0, 42, -6, 0, 0, -82, -36, -34, 0, 0, -14, 51, -120, 0, 0, 14, 42, -16, 0, 0, -48, -17, 44, 0, 0, -36, -90, 24, 0, 0, -2, 1, -288, 0, 0, 64, 36, 92, 0, 0, 72, 73, -72, 0, 0, -50, -4, 8, 0, 0, -30, -87, 66, 0, 0, 56, 54, 56, 0, 0, 18, 60, -40, 0, 0, 108, -36, 16, 0, 0, 64, -32, -60, 0, 0, 8, -84, 90, 0, 0, -156, 49, 48, 0, 0, -16, 15, -52, 0, 0, 140, 72, 24, 0, 0, 118, -93, -128, 0, 0, 30, -15, 8, 0, 0, -92, -9, 76, 0, 0, -40, 48, -42, 0, 0, -28, 15, -80, 0, 0, 216, 75, 140, 0, 0, 112, 36, 58, 0, 0, 24, -69, -192, 0, 0, -104, -150, 24, 0, 0, 84, 62, 56, 0, 0, 66, 36, 4, 0, 0, 10, -60, 156, 0, 0, 148, -102, -48, 0, 0, -72, -72, 12, 0, 0, -126, -41, 16, 0, 0, -54, -112, -192, 0, 0, -86, 21, -32, 0, 0, -96, -88, 24, 0, 0, -108, 135, 56, 0, 0, 4, -38, 96, 0, 0, -24, -12, -94, 0, 0, -174, 66, 84, 0, 0, -2, 50, -4, 0, 0, -84, 81, 120, 0, 0, 84, 156, -70, 0, 0, -120, -6, -28, 0, 0, -140, -18, 102, 0, 0, -56, 60, -96, 0, 0, 144, 39, 112, 0, 0, 126, 26, 24, 0, 0, 34, 41, 90, 0, 0, -100, 36, 102, 0, 0, 72, -12, 44, 0, 0, 24, 48, 44, 0, 0, -48, 1, -90, 0, 0, -38, -36, 96, 0, 0, 112, -36, 64, 0, 0, 132, 49, -120, 0, 0, -136, 45, 84, 0, 0, -72, 28, -12, 0, 0, 36, -24, 92, 0, 0, -144, -60, -100, 0, 0, 8, 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, 0, 0, 0], [0, 0, 1, 0], [0, -1, 0, -1], [-1, 0, 0, 0], [-1, 0, -1, -1], [-2, 1, 0, -1], [0, 2, 2, 2], [0, 0, 1, 0], [-1, 1, 0, -1], [2, 2, 0, 1], [4, -1, 0, 1], [0, 1, 0, 1], [0, -1, -2, -1], [-2, -2, 0, 2], [0, 1, -1, 2], [-5, 0, 0, 0], [0, -2, 0, -2], [0, 3, 1, 3], [-4, 0, 0, 0], [1, 0, 1, 1], [4, 0, 0, 0], [0, -3, 2, -3], [0, 0, -2, 0], [-2, 1, 0, -1], [1, -3, -1, 0], [4, 1, 0, -1], [0, -1, -2, -1], [0, -2, -2, -2], [1, 0, 0, 0], [6, -3, -1, 0], [0, -1, 0, 1], [0, 0, -3, 0], [0, -5, 2, -5], [-4, 2, 0, -2], [4, 2, 2, -2], [1, -1, 0, 1], [0, 4, 0, 4], [0, 0, -4, 0], [0, -1, 0, 1], [2, 2, 0, 1], [2, -2, 0, 2], [0, 0, 4, 0], [0, 5, 4, 5], [-4, 1, 0, -1], [5, -3, -2, -1], [6, 0, 0, 0], [0, -5, -4, -5], [0, 5, 0, 5], [-5, -4, 0, 4], [0, -3, -2, -6], [-8, 2, 0, -2], [0, 1, 2, 1], [0, -1, -2, -1], [4, 1, 0, -1], [-8, 3, -1, -2], [-2, -2, 0, 2], [0, 4, 0, 4], [0, 0, 1, 0], [4, 2, 0, -2], [0, -1, 1, -2], [6, 0, 0, 0], [0, -3, -2, -3], [0, 2, 6, 2], [-1, 0, 0, 0], [-4, -3, -1, 0], [-16, 5, 0, -5], [0, 2, -2, 2], [0, 2, 0, 2], [4, -2, 0, 2], [-6, 6, 8, 6], [0, 2, 0, -2], [0, 3, 1, 3], [0, 0, 4, 0], [8, -4, 0, 4], [-4, -2, 3, -3], [4, 0, 0, 0], [0, 4, 0, 4], [0, -3, -2, -3], [-8, -1, 0, 1], [5, 0, 5, 5], [-3, 2, 0, -2], [0, -6, -2, -6], [0, 8, 2, 8], [-4, 0, 0, 0], [0, 2, -2, 4], [-2, -5, 0, 5], [0, -1, 0, -1], [0, -3, 2, -3], [-6, 2, 0, -2], [2, -1, 3, -5], [8, 4, 0, -4], [0, 0, 2, 0], [0, -1, 2, -1], [2, 5, 0, -5], [4, 0, 4, 4], [6, -3, 0, 3], [0, 0, -4, 0], [0, -12, -13, -12], [-12, 4, 0, -4], [-1, 3, 1, 0]], 'ap': [[0, 0, 1, 0], [0, -1, 0, -1], [-1, 0, -1, -1], [0, 2, 2, 2], [4, -1, 0, 1], [0, -1, -2, -1], [0, -2, 0, -2], [-4, 0, 0, 0], [0, 0, -2, 0], [1, 0, 0, 0], [0, -1, 0, 1], [0, 4, 0, 4], [2, -2, 0, 2], [0, 5, 4, 5], [0, -5, -4, -5], [0, -1, -2, -1], [4, 2, 0, -2], [6, 0, 0, 0], [0, 2, -2, 2], [0, 2, 0, -2], [0, 0, 4, 0], [-8, -1, 0, 1], [0, 8, 2, 8], [-6, 2, 0, -2], [0, 0, -4, 0], [-10, 2, 0, -2], [0, 0, -2, 0], [0, -2, -2, -2], [6, 3, 0, -3], [0, 2, 8, 2], [0, 0, 2, 0], [-4, 0, 0, 0], [0, 0, 4, 0], [-4, 2, 0, -2], [14, -3, 0, 3], [0, 4, 0, -4], [0, 0, 8, 0], [0, 3, 8, 3], [0, 8, 6, 8], [0, -4, -12, -4], [-12, 2, 0, -2], [-2, 5, 0, -5], [-16, 0, 0, 0], [0, 0, -4, 0], [0, -8, 4, -8], [0, -4, 0, 4], [-4, 3, 0, -3], [0, 0, 6, 0], [0, -4, 2, -4], [6, 2, 0, -2], [0, -5, 2, -5], [-8, -6, 0, 6], [10, -1, 0, 1], [4, 1, 0, -1], [0, 9, 6, 9], [0, 5, -8, 5], [-10, -4, 0, 4], [8, -5, 0, 5], [0, 0, -4, 0], [2, -1, 0, 1], [0, 8, -6, 8], [0, -6, 4, -6], [0, 9, 4, 9], [0, 8, 0, -8], [0, 5, 6, 5], [0, -2, -12, -2], [12, 5, 0, -5], [0, -10, 0, -10], [0, -12, -6, -12], [-10, -5, 0, 5], [0, -4, 8, -4], [24, -3, 0, 3], [0, 0, -6, 0], [0, -9, -10, -9], [12, -4, 0, 4], [0, -6, 2, -6], [-2, -2, 0, 2], [0, -7, -6, -7], [-6, 3, 0, -3], [2, -12, 0, 12], [-20, 2, 0, -2], [-2, 8, 0, -8], [-16, -2, 0, 2], [0, 8, 20, 8], [-16, 6, 0, -6], [0, -4, -10, -4], [-6, 12, 0, -12], [0, 12, 16, 12], [14, 4, 0, -4], [0, -4, 6, -4], [0, 13, -4, 13], [8, -1, 0, 1], [0, -6, -14, -6], [-20, -1, 0, 1], [-12, 2, 0, -2], [0, -13, 4, -13], [6, 5, 0, -5], [-14, 5, 0, -5], [0, 6, 6, 6], [30, -2, 0, 2], [0, 6, 6, 6], [0, -4, 12, -4], [0, -5, -8, -5], [18, 0, 0, 0], [28, 0, 0, 0], [0, -2, -8, -2], [0, 16, 2, 16], [0, 7, 2, 7], [0, -9, 0, 9], [-14, 2, 0, -2], [0, -13, -4, -13], [0, -17, -2, -17], [0, -4, -20, -4], [-28, -1, 0, 1], [-8, -6, 0, 6], [-6, -4, 0, 4], [0, 6, 6, 6], [0, 4, -10, 4], [0, 4, 16, 4], [20, -9, 0, 9], [-26, -4, 0, 4], [0, 11, 18, 11], [0, -14, -20, -14], [0, -14, -2, -14], [28, 0, 0, 0], [-10, 3, 0, -3], [-2, 11, 0, -11], [-8, -2, 0, 2], [0, -4, -6, -4], [0, 0, -16, 0], [-12, -1, 0, 1], [0, 0, 10, 0], [8, 12, 0, -12], [0, -2, -20, -2], [10, -12, 0, 12], [2, 0, 0, 0], [0, 4, -24, 4], [0, -4, 2, -4], [0, -10, -12, -10], [-6, -2, 0, 2], [-20, 0, 0, 0], [14, 1, 0, -1], [0, 20, 10, 20], [0, 5, -12, 5], [-26, 0, 0, 0], [16, 1, 0, -1], [0, -6, -12, -6], [0, -5, 10, -5], [-28, -7, 0, 7], [0, -4, -2, -4], [0, -15, 2, -15], [10, 8, 0, -8], [0, 6, -2, 6], [0, -21, -12, -21], [0, -20, -10, -20], [-16, -3, 0, 3], [-32, -6, 0, 6], [34, 4, 0, -4], [0, -8, -24, -8], [22, 1, 0, -1], [0, -19, -4, -19], [0, -9, 10, -9], [0, 9, 16, 9], [20, -8, 0, 8], [0, 13, 14, 13], [0, -25, -4, -25], [24, -2, 0, 2], [0, 12, 16, 12]], 'char_orbit_index': 2, 'field_poly': [9, -3, -2, -1, 1], 'hecke_orbit_code': 68753031313, 'hecke_ring_character_values': [[117, [-1, 0, 0, 0]], [31, [1, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 3, 3], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [1, 0, 1, -1], [4, 2, 1, 2]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [-6, -2, 2, 1], [-3, -2, -1, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '145.2.b.a', 'level': 145, 'maxp': 997, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 580, 'analytic_conductor': 1.1578308293085655, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [145, 2, [117, 31], [1, 2]], 'conrey_index': 59, 'cusp_dim': 14, 'dim': 14, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 68753031313, 'hecke_orbit_dims': [4, 4, 6], 'label': '145.2.b', 'level': 145, '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': True, 'level_primes': [5, 29], 'level_radical': 145, 'mf_dim': 18, 'mf_new_dim': 14, 'num_forms': 3, 'prim_orbit_index': 2, 'relative_dim': 14, 'sturm_bound': 30, 'trace_bound': 4, 'trace_display': [0, 0, 0, 0], 'traces': [14, 0, 0, -18, 0, 4, 0, 0, -10, 2, -8, 0, 0, 8, -2, 18, 0, 0, -12, 4, 0, 0, 0, -28, 16, -4, 0, 0, 6, 34, -8, 0, 0, -28, 8, -10, 0, 0, 36, 34, 4, 0, 0, 0, -26, -40, 0, 0, -22, 14, 24, 0, 0, -20, -26, 16, 0, 0, -40, 26, 20, 0, 0, -26, 18, 4, 0, 0, 32, 48, 16, 0, 0, 4, -6, -20, 0, 0, -40, -64, -18, 0, 0, 40, -20, -36, 0, 0, 12, -24, 56, 0, 0, 20, -4, 28, 0, 0, -68, -68, -52, 0, 0, 116, -32, 92, 0, 0, 16, 62, 96, 0, 0, -24, -28, -18, 0, 0, 24, -22, 50, 0, 0, -40, -42, -176, 0, 0, 84, 30, 4, 0, 0, 120, -46, 52, 0, 0, -48, -16, -36, 0, 0, 74, 0, -132, 0, 0, -8, 10, 0, 0, 0, 56, -10, -180, 0, 0, 20, -46, 48, 0, 0, -52, -14, 72, 0, 0, -70, 64, 100, 0, 0, 12, 72, -176, 0, 0, 8, 94, -40, 0, 0, 152, 40, -20, 0, 0, 96, -80, -68, 0, 0, -44, 50, 66, 0, 0, -16, -114, -8, 0, 0, 48, 12, 24, 0, 0, -80, -16, 16, 0, 0, 8, 34, 44, 0, 0, -8, -70, -16, 0, 0, -112, -66, -76, 0, 0, -36, 44, -56, 0, 0, 136, -2, 192, 0, 0, -32, 58, 80, 0, 0, -84, -80, -120, 0, 0, 40, -56, 104, 0, 0, 120, 116, 258, 0, 0, 24, 46, -18, 0, 0, -68, -62, 80, 0, 0, 84, -130, -152, 0, 0, -4, 62, 8, 0, 0, -68, -160, 88, 0, 0, -8, -96, -92, 0, 0, 78, 10, -104, 0, 0, -204, -84, -28, 0, 0, -64, 166, -80, 0, 0, 4, -136, 76, 0, 0, -64, -34, 60, 0, 0, -204, 80, 176, 0, 0, 16, 244, -64, 0, 0, -138, 118, -20, 0, 0, 192, 262, 32, 0, 0, -16, 40, -96, 0, 0, -128, -20, 4, 0, 0, 12, -84, 80, 0, 0, 16, 160, 4, 0, 0, -32, 12, -84, 0, 0, 32, 88, 14, 0, 0, -24, 80, -16, 0, 0, -68, -132, -120, 0, 0, -120, -32, -44, 0, 0, 20, -68, 64, 0, 0, 140, 0, 116, 0, 0, 60, -42, -32, 0, 0, 192, 30, 316, 0, 0, -40, 72, 56, 0, 0, -148, 4, -16, 0, 0, -36, -72, 112, 0, 0, -136, 36, -308, 0, 0, -112, 200, -20, 0, 0, 36, -60, 112, 0, 0, 100, -226, -48, 0, 0, -64, 14, -336, 0, 0, -56, -74, -46, 0, 0, -88, 100, -192, 0, 0, 92, 32, 32, 0, 0, -128, 96, 80, 0, 0, -8, 148, 148, 0, 0, 26, 138, -196, 0, 0, -16, -14, 8, 0, 0, 68, 28, -32, 0, 0, 72, -158, -56, 0, 0, -46, -48, 104, 0, 0, 92, -170, 0, 0, 0, 136, 100, 240, 0, 0, -80, -18, -112, 0, 0, 184, 60, 280, 0, 0, -112, -20, 128, 0, 0, 12, -108, -284, 0, 0, -88, -42, -72, 0, 0, 28, -104, 236, 0, 0, 58, 142, 176, 0, 0, -16, -72, -184, 0, 0, -96, -34, 148, 0, 0, -84, 82, 448, 0, 0, 100, 2, -52, 0, 0, 120, -112, 336, 0, 0, 12, -232, -304, 0, 0, -84, 92, 240, 0, 0, -28, -200, 64, 0, 0, 168, -44, -402, 0, 0, 112, 28, -216, 0, 0, -44, -120, -164, 0, 0, -200, 180, -416, 0, 0, 12, -16, 240, 0, 0, 48, -134, -12, 0, 0, -72, -66, 320, 0, 0, 0, 36, -172, 0, 0, -100, 32, -192, 0, 0, 24, 258, 8, 0, 0, -100, -72, -300, 0, 0, 96, -128, 192, 0, 0, 172, 12, 188, 0, 0, 40, 138, -84, 0, 0, 136, 138, 72, 0, 0, 176, -186, 72, 0, 0, 100, 172, -116, 0, 0, 64, -82, -92, 0, 0, 0, -24, -28, 0, 0, 48, -48, 88, 0, 0, -20, -18, 226, 0, 0, 16, -8, -272, 0, 0, -4, 88, 232, 0, 0, 36, 28, 200, 0, 0, -96, 12, -36, 0, 0, -68, -88, -96, 0, 0, 184, 86, -248, 0, 0, 72, 60, -132, 0, 0, 72, -138, -152, 0, 0, 8, -350, -208, 0, 0, -8, 8, -424, 0, 0, 146, -116, 88, 0, 0, 192, 146, -464, 0, 0, -32, 16, 240, 0, 0, -108, -74, 188, 0, 0, 24, 212, 92, 0, 0, -52, 160, -352, 0, 0, 112, -24, -84, 0, 0, 44, 32, -128, 0, 0, 76, -120, 44, 0, 0, 176, 22, 332, 0, 0, 32, -322, -48, 0, 0, 294, 104, 264, 0, 0, 148, 6, -224, 0, 0, -132, 34, 200, 0, 0, -40, 230, 84, 0, 0, 48, 88, -252, 0, 0, -180, -10, 24, 0, 0, 160, -10, 280, 0, 0, -216, 36, 232, 0, 0, 280, -154, -344, 0, 0, -140, -148, 232, 0, 0, -264, 132, 328, 0, 0, -24, 64, 14, 0, 0, -328, -298, 352, 0, 0, 128, -176, -144, 0, 0, -376, 36, 64, 0, 0, -208, -170, 112, 0, 0, 252, -168, 44, 0, 0, -20, 58, -24, 0, 0, -232, -192, -192, 0, 0, -160, 394, -188, 0, 0, 288, -108, 56, 0, 0, -32, -136, -8, 0, 0, -188, 116, 488, 0, 0, 48, 142, -128, 0, 0, -52, -18, -184, 0, 0, 52, 344, -240, 0, 0, -472, 36, -84, 0, 0, -176, -268, 132, 0, 0, 184, -24, 192, 0, 0, 12, 70, 84, 0, 0, 356, 124, 64, 0, 0, 396, 10, 136, 0, 0, -376, 232, -116, 0, 0, -40, -168, -168, 0, 0, -152, -140, -56, 0, 0, 72, -22, -54, 0, 0, 168, -104, 88, 0, 0, -88, 36, 20, 0, 0, 80, 258, 380, 0, 0, -376, 260, 148, 0, 0, -120, 104, -36, 0, 0, 192, 32, 24, 0, 0, -152, -128, -192, 0, 0, 48, 216], '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: 123265
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '145.2.b.a', 'source_level': 145, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '145.2.b.a', 'target_level': 145, 'twist_class_label': '145.2.b.a', 'twist_class_level': 145, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 123266
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '145.2.b.a', 'source_level': 145, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '145.2.b.a', 'target_level': 145, 'twist_class_label': '145.2.b.a', 'twist_class_level': 145, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 123267
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '145.2.b.a', 'source_level': 145, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '725.2.a.g', 'target_level': 725, 'twist_class_label': '145.2.b.a', 'twist_class_level': 145, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 123268
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '145.2.b.a', 'source_level': 145, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '1305.2.c.e', 'target_level': 1305, 'twist_class_label': '145.2.b.a', 'twist_class_level': 145, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 123269
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '145.2.b.a', 'source_level': 145, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '1305.2.c.e', 'target_level': 1305, 'twist_class_label': '145.2.b.a', 'twist_class_level': 145, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 123270
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '145.2.b.a', 'source_level': 145, 'target_char_orbit': 4, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '2320.2.d.c', 'target_level': 2320, 'twist_class_label': '145.2.b.a', 'twist_class_level': 145, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 123271
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '145.2.b.a', 'source_level': 145, 'target_char_orbit': 4, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '2320.2.d.c', 'target_level': 2320, 'twist_class_label': '145.2.b.a', 'twist_class_level': 145, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 123272
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '145.2.b.a', 'source_level': 145, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 37, 'target_is_minimal': False, 'target_label': '6525.2.a.bk', 'target_level': 6525, 'twist_class_label': '145.2.b.a', 'twist_class_level': 145, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 388150
    {'charpoly_factorization': [[[3, 0, 1], 2]], 'hecke_orbit_code': 68753031313, 'p': 2}
  • id: 388151
    {'charpoly_factorization': [[[4, 0, 7, 0, 1], 1]], 'hecke_orbit_code': 68753031313, 'p': 3}
  • id: 388152
    {'charpoly_factorization': [[[25, 15, 4, 3, 1], 1]], 'hecke_orbit_code': 68753031313, 'p': 5}
  • id: 388153
    {'charpoly_factorization': [[[64, 0, 28, 0, 1], 1]], 'hecke_orbit_code': 68753031313, 'p': 7}
  • id: 388154
    {'charpoly_factorization': [[[4, -7, 1], 2]], 'hecke_orbit_code': 68753031313, 'p': 11}
  • id: 388155
    {'charpoly_factorization': [[[16, 0, 19, 0, 1], 1]], 'hecke_orbit_code': 68753031313, 'p': 13}
  • id: 388156
    {'charpoly_factorization': [[[64, 0, 28, 0, 1], 1]], 'hecke_orbit_code': 68753031313, 'p': 17}
  • id: 388157
    {'charpoly_factorization': [[[4, 1], 4]], 'hecke_orbit_code': 68753031313, 'p': 19}
  • id: 388158
    {'charpoly_factorization': [[[12, 0, 1], 2]], 'hecke_orbit_code': 68753031313, 'p': 23}
  • id: 388159
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 68753031313, 'p': 29}
  • id: 388160
    {'charpoly_factorization': [[[-8, 1, 1], 2]], 'hecke_orbit_code': 68753031313, 'p': 31}
  • id: 388161
    {'charpoly_factorization': [[[1024, 0, 112, 0, 1], 1]], 'hecke_orbit_code': 68753031313, 'p': 37}
  • id: 388162
    {'charpoly_factorization': [[[-32, -2, 1], 2]], 'hecke_orbit_code': 68753031313, 'p': 41}
  • id: 388163
    {'charpoly_factorization': [[[3844, 0, 151, 0, 1], 1]], 'hecke_orbit_code': 68753031313, 'p': 43}
  • id: 388164
    {'charpoly_factorization': [[[3844, 0, 151, 0, 1], 1]], 'hecke_orbit_code': 68753031313, 'p': 47}
  • id: 388165
    {'charpoly_factorization': [[[16, 0, 19, 0, 1], 1]], 'hecke_orbit_code': 68753031313, 'p': 53}
  • id: 388166
    {'charpoly_factorization': [[[-8, -10, 1], 2]], 'hecke_orbit_code': 68753031313, 'p': 59}
  • id: 388167
    {'charpoly_factorization': [[[-6, 1], 4]], 'hecke_orbit_code': 68753031313, 'p': 61}
  • id: 388168
    {'charpoly_factorization': [[[256, 0, 76, 0, 1], 1]], 'hecke_orbit_code': 68753031313, 'p': 67}
  • id: 388169
    {'charpoly_factorization': [[[-32, -2, 1], 2]], 'hecke_orbit_code': 68753031313, 'p': 71}
  • id: 388170
    {'charpoly_factorization': [[[48, 0, 1], 2]], 'hecke_orbit_code': 68753031313, 'p': 73}
  • id: 388171
    {'charpoly_factorization': [[[64, 17, 1], 2]], 'hecke_orbit_code': 68753031313, 'p': 79}
  • id: 388172
    {'charpoly_factorization': [[[26896, 0, 376, 0, 1], 1]], 'hecke_orbit_code': 68753031313, 'p': 83}
  • id: 388173
    {'charpoly_factorization': [[[-8, 10, 1], 2]], 'hecke_orbit_code': 68753031313, 'p': 89}
  • id: 388174
    {'charpoly_factorization': [[[48, 0, 1], 2]], 'hecke_orbit_code': 68753031313, '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': 2, 'hecke_orbit': 1, 'label': '145.2.b.a', 'level': 145, 'portrait': 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XYiYaUd0O4LBrHHak+wZcKw3DKcuaSoeD5bpmHHXMjmmQGbZoZsmRmyY7Nl1xbFVTs9qqrOyTNN7n/K59FnY548HZGoDm98WYu3vMRSVTM8e3qSkxc05xcS5lNwH1uy3HzNIj/3favsnJ3gwsIkC6sVllseKy1Jq5PQ7iZ0B/DsyWWOnWtd9cTxxZcfO7e458T5xc/d+i1vC+/93Eeeb0j8hW5/rRl8ZbVFb2DxNO984PHjL/n3v/EJ+aYXHXvJv3jzOb3U2sRqu8HyWo3lls9yS7PcgpVWwkorYnktYX4Nji8L5mbX+I/vWOZF+2ucvTTNhYU6F5Y0l5Yt80sx5xYTFjoxk9MDXnpdlxdfCb6sEqiASysVLi5p5lcEvSHEsaHiG+qVhKmJGAOcno9pd2H3Zo96dYi1AoRPt2/YtWXI8poG66TIWheGMVgsK62Q7Zs8On2FUBZhhjQrHru2DljrCU5f0CRGM9OUNCqCwIM4FvSGkvkVycVly6XVmCAYgBdz69VdXnKNYK5ZZXm1ydlLAReW4NJSzKWVmPMrcHzZ8sKrl/iFd6yyZbLJmflp5perLK76LLUkK2sJq+2I1XbCSsew1JGc78DKapf/9i/C+O23N75W2/wPTKV54GtKJD8bmYCg0ny+ofKct7+2DP6eD/wJL7vtJn7qX/+rX/zDP/3yv3zvH33p8sNnWnuePd+VL7u2zb5tCUmisVZhrWNvrAQkIBDCooXFl3BhucqDxyTX7Vvhyp0DahXwtMT3FL6vqVclNU/S63ocOVXhC4/6nF4Y0o4jjpwdsnlmhTe9dJXrLu/wwitbnFqKWeoJasGAExcsrXaday+TrA0SDp1SNGqap0/DFdssgzBhkPhoHTHVgMNnA5RO8GSM9qA/lLzoyh79nuS6yxPa/YTTFxrs3aKo10LWhpZNkz1Wu20+/GV4/GTCkycH7N62zPUH2kxNh7zh1g7f+QrLvi0NkmiSk+cnOH7O4+y84dxCxLmFhOMLgjNrES/Yv8h/fEeHzZOTnJ2f5tJyjcU1n+WWZLWV0OpErHUTVruWla7gUk+x0o65+cpFfvxNC7Li2T3LC6f3DobRLV59X7Vam/riwYc/zrt/+4+fb8hsePtryeAf/ZOPc/uL96qP3PHUvz9+av7fPvb0abW4FrIy0JzvG67bdYlf/bFFbthX49LyFMutGiutCistj5W2ZrUDq62E1XbMSidmqQVnVwW6OuC2a1b4rleE7N1UZ63bZGGlyuKKz1JLsNJyEmG1Y2j3De2hpTeImWlG7NpsAEHgWc4teAgZsHuTYu82y7ZNPS6tDnniaIObrrDUqqs8dWyaRj0kDD1mpgz9AVy1a8AffnmSAztjhkPL7IQkSvo0KgFPnxpQ9ercsD/myRMhl5Z9ts8E7N0Ku7aEKBVxbgl8zyKEZffmmKmGpNMP6PY82j2PlbZiZQ2WW4aVVsJSK2G+BcuDhF3bu3zX7UvcdqWm4jW5uNRkabXC0ppmpS1YbRnWOhGrnYS1rmW5C/MdxaW1mBcdmOddP7bM5dvrLK81aXUD+mETr7ov8Spbf/HZi1f+wvapM8mrXvt3n2/orLv9tQL4saNHCIJKdfHS+V2PHzz09iPHzv+npw6fYRBJekNY6wsWeooLnZgXXjbPf/2xFa6/rMrC6hTLazVW2xVW2h6rbc1qG1odw1onZrUTs9K2XGoJLnQtiC5veVmLN7zIcNnWCmFYY7VVYa3r0+ooVruCTk8wGFrC2JIkoKQl8KAaWCablk3TEdobcPxiyMFjASau8/pbQrS3xiOHJtizFT7zYMzLrg1YaPWpaEWcRExPQRx5aC9mebnGS29s85n7GuzdCg8fHeJR43UvMsSiz8HjCSfPVdDSZ/OUZqouqAYC3xcoAbGBMLIMQuj0LGtdQ6dnWOsZlruWfpKwe0ePN7y4xVteEoJpsLw2wcJK1enttma1BWudhFY3Zi0F90oPLrYVi+2EF+6/xLt+bIGrd1dZXJ1krVOj3fPpdD1aHYEIdiC9Lf9u5+79H9mze+eZ/mDQP3DgwPMNpfz21wbgzz57lJnZOf/E8aM/eOrksXc/8/RT4tJSR7a6Md2+oTOwdPrCgbwvudiJeNHlC/zyDy9z4+UVltYmWV6rs9oOWOv4rHY0ax1Bq2NpdRPWOjGtrmG1a1noCC62DFOTPb7lhR1uvTJm92ZFs+rR7lQIPAkowlhijMBY6A0AYZhqDDh63mJsyJ0P1xn2qly+3ee263pEZo27H53khis8js53aa02efF1Pb74SMDmacuh05Z//OY2h04FbJ6WfOFRxW1XKVZ6bU6cneaG/SF3H+wTD2vcerXPvp0D+nGXzz+iIBEcP6dp1jRaQK8vMVaQGEsUA9KgfUOra6k3InZuHfKSq3p8y00xM/UKl1YmWF6rstp2x2a1LWh1odWJaXVjWt2EVs+y0pPMdwRLnZhbDizyiz+8yPV7KyyuTThwdwM6PY92T9PualbaMIgCc+2119kDB674iX2X7//A4uJCuHfv5c83pIC/JgCP40hGYf9Njz7w6csvLiXvuv/+hz2lJGEMvV5Md5DQHRi6KchbKcgvtGJuvWqBd/7wIjft81lrT7C42qDVrbDW8VnralodRasHna6l3YudO9A3tHqWxa5gsQtRMuT6K/psmU7o9izf+uIhe7YY4kSipSWM4K4nKpxZqLB1Kuap4xUwNa7cobjxgCGo9HjkaI/FpTrX7KnTnFzlvic9br6iwnJvjdXVJlu2WB48pPh7r+ry0CHNjk0eS90WqyvT3HhVj/ueSpiuTnLN5V0WWi0efGaSqq7zwgOW/bsGILs8cVKwaTri0mLE3U94DCKFlJAYy56tId/y4pBOV7FtynDjFRCGNVZaNVZaAWtdj3ZP0epK2l1o95xT0ukltHuGtZ5lpS853xa0+kNu27/IL/zQKi+8wl0crU6Vds+Bu9PTdPqKTl/S6Qt6fQMYrn/BC6N2n596+3d+27FGvfopz/PM842t5z2TGUcdTNJ9x8Uzj/zq8sLR6fNn1piZ1ISxQAwtpqKw+b92FqAQFiktUmoeenYzP/s+zZtvW+G7X7XC3u0h88tNAr9KNfCpBR71qqZTlTT6HhN1TW+Q0O0nbB4a+kNLZxCwsljh3FlLGBvOz8cEgQUEvrJoKej1FQKPuKd5wR7Bvm2WXdt7DJMOn31IcfjYFK+9KeDGq1b54GctvqixZ3uPJ+9TbJ9UzDZ7VFSVMPJY6EC9otmxWfD44ZAb91d5xQ1L/O4dfXyvwWtusXhBjy89GPKZB+o8c7LKZdtq7NmaMDcVsnc24to9CUoZtLKApRYEzE0GhJFHp+fz1FHPlSj0Fd2BpNuH7sDS7bnf3ukndPuWdt+y1ofFnuLSqqU20eInX7/I371tyPWX1bm41KTVrdDJwN1XdPuKbl/SGwiGoSWKLcPI8MW7HvC8YOpXZ2YfXHnlK275F6ut3u9OTdSeV3w9rwAfDnsYww9dPH3fO88c/eL0sNenWQuQUtIfClwdRGH0CAFSuE4aJS1KJvhS8uTROR57ts7RCwu8+SVdXnL1gMlGk5VWjXq7QrPv001ZpzuQ9Aea3lAzGFoGoSGMLFFkiRN3D2Mfa0AqgacFFV8w2RBMNWDLrGHH5h6zUy0+9wh89TEPaSZ47U0eL7iyw73PRISDJre9QNDq91lYrnPrfsPsZI+qDhjEisV2hDKCF+zX1BpDHj1S4eU3TvDi6zs8ekSBneCmq33+4RtX+OLjIV94qM6hMxV2zSm2TFeZatSYaEA1AE9blARj4dBJQZIIolgQxjCMcL9xmNAfGgZDQ29g6A0N3T60h7DYlSx0YGgGvPqGFd70khbf+xpDHDeZX6rT7lbo9H26fY9uX9HpK3oDQW8g6A8t/YFhMEwYhO6iWbt4kQ9+6HPTg9D8l+9408t1t9t7X73+/IH8eQN4HC4hZfQPF8/d9c75U1/aZKIO1UoFSwKAFCCERCAQQiGEQEpScINSFq0snjJUPcFSr8qHvryDLz3W5mXXrvF9r17j2r1dZiZrLK/V6PQDen0vBbZy91AwjCRRLIhjt9TbdLlQ0qI1VHyoVQ3TjYjtm3rEdDl6PuLDd1c4cbbOZFDl5qs1t17X5sFnW9x5f5Nbrqiwa2uPP/yyQImAZiNirTvEWFAC5po92h0fE1d508sW+NBnauy7VOENt/QIo2XuPjhDlFR40dWbeMPNba7Y2eJLj/Z48myNJ0767JiWTDcFtUDge+4idMfLYiwY41g1TixhZBlG7kIehNAPoTMQrA4FKx0QesANB9b4vm9Z42VXJ8w0q6y2a7Q6VTq9gO7Ao9svVoLeUNIfQC+9cAYDQ3+YMAgtwxAMioWlFh/88Bc29UL7zu9840vt+Uurv7N989T/GQAfzv8Kpy9dycWTn/8BYVvv6q0+PqtoE/gVjE2wFqwVCAFkIBcCISRKaqRMUEqky7PBU5ZAW6pasDpQLLem+OhddR54qstt16/xfa9Z44Z9LWaSKnEc0BtU6PY9+kNNGCmiWBInksQIjBUuCyosgW+oVWICP8T3hpxfHnLHw5Jj53xOnptCmYB9W32u2qu46co2Kljk4PEG2ydrXHMZbJlbZaXd5NrtkthYPvdQwLAnmazHvO5FAz51d8SZ+QYHLve4uDbg6RMeOzdPcf3eRe59ssN9TwuGoc+Ve6e5cmfAlTs6HL+4wrHz8NDhGkdP1KlpQaAl9cBS8UBKF1RZ6y7WOIEwhjARdIeC9kDQjiA0McYOeOEVbb7vW9q87NqErdMBg8EEy60KnW5Ad+DT62u6A0VvoOgPBf2BpD90faMZaw+GhsHQ0g8N/dA5OolVnL7Y4n0f+sqm46cuvWtuuhZ/8Pc+8cFPPtHmI//l+//2Avz/edf78Tf/Ds3Om79XxWd+rbN2flIYSTXwECJK/5WjUCkUQuDYWgqUEmil0keDVgmeFvja4HuWwLPU/ITJiqAz9FhtT/Gxrzb58hMDNk/1ePvtLa7cOWDQ73LNXsvOLYph5JEkRZpfYJHS4OmE05csJ+cFa33DJ++tcX5pCht6TFUU22Y0u7doLtsO1+xrY+QS7/lUnZWVCW65UnPNvhZfekIgYo9NU5J6LaYX+UgrwUqU9mkNBJdWBFfbGrff1OFrj1bZNutzyzXT/IM3LvGBz3R46Eid7sBjea3B3m1VDmzt8aL9Hb7j5R0urKzwyXsDlnsBpy96nD/v4ymBlG7VM9aSGIiMJYkNUzMR113dYziMuHLnkLfePmTThGK6ERBFFS4uVuj1fXpDt8r1c2A7udgfCgZD3EowTBiEhmGYOAkU2RTk0I8EvVAQGs3J+Tbv+fiDs5ft3fZrL7p+a/SR/7Lvj+ZP/He2XPbP//YB/J++88PcdPMbxTt+VrxtS+2p9779tidq1+7xafcrDEODEBaRLrNCOq0tpEVJhZQSJSVaCbRKH7XA0wm+FvieoeJZqpGlFlomKglTVUEvlHTCOifP1fnlP5oGEyPimJuu67F3S0gcg7EGa10SRwqBVALt+Rw543PoWIV6RdPwJbM1wdyMZNO0ZtucYvfWhAO710jEMr/+8Sanz0xyy36PK/ck9OMO9x8MmKx6zExYJhshtaqTQsZIWgPFStey3Epodau89Jo1Hj7U4/AZxWSzwouunuSH37TMb3wCHj1Wp9u3rHU0l1aabJmtsWlqwO6ZAf/qbT2atRZPnoQjZyWeZ1HKIoRxRGEdm8cx7NmScNu1MUnkEcUB1tYYhB7zSz79oVvRBqHK5Vs/FAyGgkHoWHsYuqzscGgYhoZBZNL3srsDdz8SdCJBOxK0Ioj6Edtbj01+242b3vurFxZiEfzAR5dOVe3snh/72wPw//yrf8w1O5vqK/d87C1nzix88PfvX6o8eajOu36sxf5dMb1e1Y1hkAYpfKS0KKlRyrpgUqlUb0s87TSn7ymGnmQYGoIwYRhZqpFhGBnC0NKMYRgZhjGEsWAQSYZJQJRUOHyszhOHIbEWB22njT0JvnI1H40ArtkKzSpM1CVTDcXMpGbTNOzaMmTr3BqRXeHXPz7B8RMT3HiZ4rIdkn07VvnK0zGXlie4aa9kqmmo+H0CGWCVIE4kwlriJGS1W+HSsseNV1Z5wf4O9z5aYfOUoFZpcON+w0++ZZlf+4Th6fMN1rqGtY5icVUzO1lnqlllqjlBsxYxV4/YfWNI4MV4OkapBCncSmhxF1UUKRYWNVGsiGJFGCmGUfoYSoaRZBhKBqFkGAoXoIbOJRmG7rgOw4QwTDV95N4fhDCIBIMIepGgEwrWIkEnNJjhgBfsXuE//8gir7rqQm1tNfhgxJ+aYXLg46ee/v1kzzV/9XLlrxzgP/nOD7NgK+qzTy2+9cLpi7/79OFTFV2v87mH5vC15Rd+pMVVOxK0SpCy4sCtjLtLB3BPWTyt8LTFCyW+J9xJ8ARDXxFGDuhRZAnjxLkicemeQJxYksSQGJzeNuTgzqSQluB5EGhBJRDUAkm9ppioSaYmBJumY3Zv6dGor/Hxr4XcfXCataUm1+1S7N7qccXOAYlY43MP1ah7mrkpRaM24OBxeOaE5tqdlt5Qcf0VEdfts8xfTFhc9ekParz+5g73PNnn6HlFvSoJ/CbXXmb4hR9Y5q6n+3zqrlmW25bdmxJWW5rJpmKi7tGoedSrlkpgCHxDoBO0Sskiba20FpewMoLYSOJEEMeCKJaEsSCKJMPIOS9hJAgjSxjCMEoII0NYIo5hVL47cPdTcLcjSSuC/jBGxD1u3L3Kz//wMq+/GdbaTVqtUxVZqf7+xFT89+uN+p+snvmtZGrXXy2T/5UDfE8jkd3B2ncfPH7+Nw8+c7oSeJoKgq5t8Of3CcKh4q2vbPO2V3WYasZ0eglaBqnOdnrY0xov0gRaMfAc0ww9SegLwki4kxMpohjCSDoHIS5svzgxJIlzFxKbOiWpW5K5M0o62eNrQeBLKoGkXhU0a5bJhmHz9JC5qQ6xXeOj90g+8JkZNlUqXLdLsGurx55tht1bV/n4/ZaVlQpXblFMNaFRi7h0SrKwGuDvhWEkmJuQTE7C0ZOW1bZhfqnCFXsqvOqmDnd8tcJMAwLfR8lJrt0n+JE3LODJBf783imeOV9hczti02TMRF3RqCpqVUk10AQ+BB5o7RwmKZwblYMcd2EnBpJEECekQIcosYQxRFHiSCEyhNljZFLbMXNlUgsydpKkGwnasaQTGcJByETQ5rtev8zbbu/y6hug3W0wCAOE0MT9w5WBF713pX1AG9v4YxzP/M0E+L/79U+yYswPnDnx1H89f/Jsc7KqiBJLU4O1mj51Pvew5P6nK1xcXeYfv6XHVDNmGES0exW09vG0h6c9/DAh9DR+6KRJGLlUumMc4ZgoZaU4hiiBJHFOgjEu4DLGZj2cKbgdwF3gKvC0A0glgFrF0KjGTDZi5ib7zE6t8bXDIb9/Z5UjJyfZM+Gxbwvs2OKzYzMc2NWmF7d58FCTqvKYm1JMNmCyMWRqIsb3NUK4i6s/9FlpR6z1LK1uzMKqz64tDV585QJ3PtTjyPkmtSDCUz5CTLBvu+L7X7PECw8s8Pt3NnjwqUmWu5pNzZjJWkytIqlWFIEnCDyJ57lYRanMbnUot7geVmPIgR4nJl3dUmsxNsSJA3ccQRjb4h45V2YQO1LpRYJ2LOjEMBjEmLjPTLXDT3znMv/P9/SoBR7tdo1BWGEYeUSJIk58OhcvNq1X+/Urrtjjr537vQ9M7njH3zyALy630Er+0C+9++PvfPb4uZlmVbiDJNOEDc4p6ak6awPNf/2Ix6Hjq7zp5T1uv6HL5tmQTrtKX/v4nk/gewxDTeA7ey8DeBRJwtgtu1GcetoJqfVHytwSYynA7ZKUKXODVi5h4nuWim+oVmIalZip5pCts20utXq8+5Men3t4mpXVOpfPCXZtEmzf5LNjk2DvtgHaX+NDd2tOnK2zf7NkqiGZqCdIOeT8oiXQEimcBRpGmt2b2jxEQrunWG1bLq1U2b+jwnfc3uJPvuRz6lKApyOE8DC2ThRLbtq7yu7vafO5R3v84eemeeRUne1Tgtl6Qr2SUPEFgSfwPReraIULnKXIazIs7iIzFue0JA7wGcjjxEk6B3YIE1frEmbJo1jQj6ETSzox9END0huyY7bDK25c5dtf3uNbbzZoUWVlrUoY+QxDnzDSRLFOtb/EDs7NdDrb3rXtiu9VUbj2Ps+f/JsD8JXVNXxf/4NPfvrudx566qlNWliEEmmK3TkkSgqUFPixoCMqtELNh75S4a4nO9x4ZZvveU2PN9zSYmYyoD8I6A99As8jjL30YDmQx7EiSiRxLIkSQRxLkkSQGFFobSPIVYnNMqIuWaTSZJHvGQI/oRrENKpDZie79KM+Xzpo+fBXJnjwqUmmfI9rt1u2Tks2z/hsm5Ps2Bxy2fZVnjzV55P3zDGhNHMTgmZd0KxFtHoJn7m/QsN3LpGx0B9q3nTbkE8/4GpiWl3Dwqpmx6YGb35JlwcPdzh01KcexCgpHMhNjUHotP73v6rF/q0LfOiuNvc9M8mZ1SpbmoKJiqXmGyra4HuglUBJ0mPufndWfmRSqWZMscLFKdAdQUCUCKIkBXYiGMSCXizoJriYJwypV3u8+bUrfPdr2ty0P2HzlEd/UKfd9VNwu3MWRYowDXDjWIC1nD55bFPIve/cte8Vpt9rvb9a++aPlfumArzdajG/2MZa8Y5Pf+6rv/LJO7440++0aFQkiYVYgpYWlQV1AnwJgYSO9Oh5inPtgAsP1HjgYJc/ua7DW1/V53W3DZie9AmHAcPYI4w8olgTpUCPE0WcpAmbpAC4sSlzm6KmLLMjlXR1HFobfC8h8COqQUij2iehzxcflfzRlyd56uQEIgrYM2XZOmmZnVTMTftsmZVsm4vYtaXN2cUOv/WpOvGwyo4dgsmGplmHZi1CeCHtfp3JhkUIgbUQxZLpQBGbmE7k0+klrLYV5xerXH1Zgx/9tjXe9ccBpxfraBWlF4YmjisMQsmWmYCbLm9z3WVdnj59ng9/pcqdj0xyoVWlHigaPtQ9i68tnkqPebpylqvrDGCNu+gSI9w5SoTzzxNBmLgkUT8R9BPox5Y4jjHRkJlKn9e/eo23v7rDy66NmKh6hFGd1VbAMPJTtvbS2EinAHdElCXWWt0Oq+27NiVG/cruy2+Ju+1zv2do0mx+84D+TQX4cNBn+5aJb//afQ//xp1f+FJz2G/TrCuSjBGkRaeyQMXuwOvEFTP5ylBNBD3l04s1C8MKf/5Anbuf6vGiL3T5J9/Z4apdbTZNKpo1TRj5hLFHHBcgTzKAG4mxMs+K2jygTFP9yrogVscEfoynQtr9iMV2xP/4eIWTC1M8emgSa3xmqoJNs5bZCcFMUzEz6bF5RrJlJmb7XI+ZyVU+95jhkWcmuW6HYKohadQkzZqhXg0R3pAg0GjlPt9aSBJJf6jpDyJiI+j0DZ2uZaXtMb/c5NYDXV589Rof+kKF6opCS5cEM1YTJz5h5Ho8ZycrvHBflxde3uWhV1zg9KLk9++cZGGtxrnlAF9J6p7Az2SYdIFnTuSZVMExeWwFsYHICIYJDGIIjYUkhjhCqiHbpvpct9udj5uvSmhWNXFcp9VxwI5TYLsVNrMlZcremYPjQB7Fgrjb5eEH7prp9r3f2HvFjatR2P/kNxOT3zSAz184yuymzerLd/7J5c88c7SpbI+ppk8YGeLYEiUWlUbuKnb2n05AJwJPWfzYUkkENSXoK0FPB/QTj+Wwyp2PTPC1Z/rUgyF//1tb7JiJ2bOtz63XdNDCtYgJ4eSKy0q6WmlrS8xNmjgSzjO3xCBjnj4pefiw5o4HGzx9pkEY12hoxVzVMl23TNWs88GbmukJzcykYMt0zLa5PlvnVrn7qSHvuWMTWyc1c01o1hXNuqBRi6kGQ772rGIQary6A5W1gjCWVLTihv19Hjg46Qqf+glrbY+ltYBLS1P86BsucW5pmQcen8OTgIgwkANoGEq6fc1Uo8Jks86L9/d4xXU9vueVixw+a/j0gxUePFzl2RN1YqEZDhW9SKHy0ody4JnmBKwhNhZrDJ5ImPBDKkS8+MYue7cO2DEb8X2vG1L1JfWqRxjWaHX8dCXVKeGo3GvPwJ3dMxmZxUpRLBhGmtX5Licv3tPc9vT5y//+O75bHXz6SHLdNd+cpolvCsDvf/xpDs5P+FtXHvpBJcL/Ouit0Kj7yH6CFBBKg0xAxqTetnAMrlIGj8GTAs9YgsRSUYJaIhgaGCQe/cSjl1TodBJ+5UNT2Dhi89yAq3cNmJmIeeur+uzaFBJFItXbEkrMTao/pTQIKfjYXVWePF5HaM3pCzXOX6pRqSomAsFk3dKsGJoVaFQFEzVFs6GYamhmJmF2MmbzzIDtm9okdo2P3dOk361zxQ5Ls6Zo1CSNqqFRifG8kM89UGHYk3ibXGCdSZR6VfH6F/X56mOG7lDS7Se0e5q1jmZ+ucZVexu89WVtHn26xumVBkoaIEr1snMkhpFLzHQHmlbXp1GtUa8OuWrHgFsODDi70OLUxTW0l/DECc2ffKWGUK5wjfH5g9bVdGMtUZiwe3PM21/VZ7aZcGC3ZfMMJLHHMGwQxx6rbY84UkSJTuOgTF9nj5IoyYAt0jjJPUZRqu0jkRe8LS8uMDG9/b/e/8DXere+eNMHLp59ONy68+a/HgB/5shphLq0/1T/3Lu7Fx+Wg9BDK5c6tmSJFFfEpKXT4rG0xEagY6cTo8TiJU4DBtpSSSxxIgiNJUwEQyMZJpLQeEQGFrtNvvKkwZLwZw+6kQ1Yk96zLF5qkYmsIlEilSKONNJoPC1pBLB3zlL3DLXAUAugFgjqVUmj6uTQREMy1YSZiZi5qSHb5jokrPI//rTCvQc3sW8Gpmope9ckjWpMrRpSr/WpVmsESqJkqsFxciCKPAZ9QX+Y0BkqugNDp29cy1zd59ylCV569ZCffNslfvVPNGfWAoQwWBthEksUe4SRZDB0ZayNvqZe8alVK9SCGpUgolENuemKEN+LuPmKmO97dQ+t4jQJ5MojRkR5KumMkQghCTwF+AyGmuVV7ep2kizmSe+xLGKgVHpk4M6crSyxFKdBa5yydxhBGIGxAs+TPPjQQ3L/7uTd86fX7ml3hk99M7D5vw3w933gI0z5onrwyOG3HDt+TGyddD4sWLSU2PQTXIOCs6FUYlEJqMRpwzgBnbjexziL6JM0qs8ieyOK10YQGklsJYnRRCYgSW2v8i3PUgrQQrhMpYJK1VLRlopKCDwINFR8SzUQVH1JrSqpVbQDeF0w2TBMN2NmJodsmu6ybdMy77nD8Id3bmbnpGK2YWjWFY2aol6DWjWhUY24uGw4fjGg4rsLHLJKP8Eg1OzdYtgyO6A98OkPbMrikrWOplGt0KhN8n2vXuDExXne+8ntaKmxGBKTEBtLFGuGoaIfuqKoXkVSG2iqgUc1SGh1XIzhe4lLmHkJWrpGCSldOl+kd1e64ko4HcgFLZNWWRoX1ySJxBhJbIp4J05EKcDPnpce47RGPRHp+2lyKXEJpjhxZyrwFTs3V7h0/rA4XjVvmZm74vijD3y8f9OL3/L8Anx6suKvrC7/TGt54WcqMpRx4iFVlkAhZU9JnAJcSUsinT2nE0tsQCfOr06y5IOx6Wubv1c8LyrlnJcr8kCprLmBNJPnAistDVqS1rSApwSets431oJKIKn4kmqgqFYUjaqkUbNM1BMmGzHTzSGzUz12bV7mwWeHfOiubUxVAjY3DM2acOCuSuoVQ70S06gNefAIPHG4xuVzNtW9Rdq8P1TcfMByxa4+Dz01SW9o6Q8Sun2dgtyjVqlSrUzyXS9f4YlnF3jg0BawCmMSVw4bW+LI5vUk/aGmNrBUK4qKbwh8j8BPCLRB6wRPu+xwVgYh01UVYREUeq4Izl0JsckcKZPZryUrNgO2cQAuXmfZ0uKepCt0ZkPG6Xm31snWwFNcWrKyUl3+92Gy6Ht+4xeB8HkDeDjsyf5g8PMf/tAf/YtwsORPNny0dt4raQZNGplWBVpiaUmUSyioxD3Xxr12B85iEvLnSZZxs1nmzWLSTFyWrLDWUsq8j6y4Wao6S+gomWYsFaWiLZf9C3xFJVBUA0GtKmhULc1awkQ9ZrIxZGaiz7a5VR440ufnf3czZ85NctmsYbIGzaqiXlXUK1CvJFQrEb43oDVw1ZCeskhZfLPEiNRF8GlWI3qxoZfWWfcGCZ2epFVV1DoBlaDBni0Rv/CDLf7DByX3H9qMRWGsIUkMcRITxoYwUgxCRT+QVIeKii8JfEvgKwJt8Dzn92uV1fqkhJPKFCHsaINumtq3KYnYtJYlSQGfmOLRkZFMH0UB8Ox5UpQGZKtzmcCMcZ89wP396SPz/vZu46e+462v8brd3r+r12t/6XT+XxrgcbiGtcNfPHf8K/9MRGcrOzb7RHEa2OVM5dhKGUGSMkZiLCYDegpukz03AmNsnkY2uUcL1ljXRZ6WgJbvjAE8ld1pYEnqu7sVRSvStLzA05LAdwOAKoEbyVANLPWKoVFLaNYiJhoh080+2+bWeOBwj//wgVmOnJlm97RzWBpVSb0mHXtXLbVKQq0SESUhf/CFBlIpvNT7zxncZku4x/e/dpXPPxLSCQN6KcC7fUWnq2gFmoofEHhNDuyM+U//cJmf+4Dgvqc2Y6wkMS6tHsWu0GwYGoYVV+4aBIKKJwh8l9n0tc0ztloZpHLeuEyTbznAi5QnkJIILpfg3JY0kM8AnE4dMHlyjZTdyVfcpAxsQ0poWYLJpmGThcjSx2VRz146XrH+V/75m7/tNWJxuf2zczN/uelZf2mAX7p4Eqx58fnTj1Yr3oCJukcYuR/hljVGgBonLnOZ5OnhDNzZlezeM3mtRNF+5YAuXB1FBurswI99rwzgWQ1GlsnL2FvrrO5E4nnS1W/4gkrgZp7UgoR61YG7WQ+ZbPaZm2zx4OEeP//+aZ4+PcuOKcFMvSRNKpp6xdWvVCsx1SDE84acX57CUwIlTWrLFUFmkkjiWLF1yhLHEe2oknbKGPqDhM5AUu0pKr6H71Xw9ARX7oj5T/9gkX/zO/DAM5tIjHQATyxRnKRMbhgGhkooGfgql2CeB55OnSslnUSUaWwkQKSPG2DcyRXSpBAiTw6ZNDmUEVmSlN43heQ0aTyVlQVk5zo/56VznRgII0O7O+Qr9zxcvfrKvS+W/xs7TvylAH7+2J8x01yrffGL9/jDXgfPE1SsQckikDD5Fe6eK5WdWEEiHVMnmhzso8DOZEjx420mR7Lnz/HdpCiKqKQEmZYEuLS1TBslMnkCFQ8C31CtWKqB08+1akSzFjJZ7zM71eKRowN+7n1THDw9x7ZJxVzdMFEVNCqSWkVRqwqqFXdxuFR/yAOHBN2BT0WRXmRpG54tAs0o1tQriluv6fDg0016kZMp/WFCr6/oBIrAV/ien+rnSa7aafilH17gp38b7ju0ichIImPSZumiB3PoSwLfOPb2ijp6rbI7qUwpZJxMs7wbgTxLCtkM4Cngk9x5YcOV1yTrAV1m7/HXceJiC2MFnfYaf/yRT/ov/5Y31H7z9z7d+0fv+Dt/9QC39hlgx+SFox//rcn66stXwgiLBmtQQhLljkhxFRtbLFuOsYur3CixMWuXAG1yYBdNwaTaOz8ZwhUUCZmCOy0yUjnAQaUVg54G38N1AvlpgVWQUE3lRaM6ZKLRZ6rR5vFjQ37ufVM8cWoTWyY1czXDRBXqFUG9qqhVFbWcvRMqQUyjNuDuJ3zWWhWmpoo0eQYYYzJnQbFpRvHqF3S5+2HjumhCUwK5pOJJKp7G0z5aV5HScNVOyzt/eIGf/m3LfUc2ERlNlFYAurJXx+RBJPPqQl9LtE6LsKRA6ezYkH+/7CLMpIrIqtIoEkLjd1N6NKb0mK+8G7C1Ka/aBbiTtG4/SuthBmHCmUuDlx86cup3vvd73/Zjn3/gzNrrXvy/tivc/zLAT5+YB7Hy02HryHdre5HAb4IwCCRCGKQUxFKQ5Iyd6jZVChpNccVn8iPJZQg5e48EkuPMnSI9y8jl2ltmFXSF7s4qBrXC1Wdoi+e5xuKKb6j4CdVKTK0SUa8MadQGTE+0ePTZIT/z27M8fmIzmyY9NtUSJmo2BXfK3hVJNXDsXwliakFIbIZ0wgChJF7G4LkGFym7pX5x5FH3B65cIKwwlYF8kNDzHYMHvnQ18TrI8wnX7rG868cu8a9/03Df4c1ERjNMBGFiUhYXVCJD4Fl8z/Wu6jTu0MqVCCsp0+OTduVnj6XCrPzCLMc6Y+DOSahETGVw56AuE1n6bwtjIbOHs2ZpZw0fPb2Mqp/87tecfui4GUT/5q+UwS9evMCWLVt3v+/33nvdlsoam5p+WrQk0io9kfZP2jwASVQWOIqCuUs1ydloNJsFk7YIxAqmKLKStrxmZqxdDiqz5Tbt0FFpMKV12hmUFiFl1YMVL0l1c0S1MmSq2WOi3uGBQzE/+55ZHjuxmbkJzVw1YaJiaaTgrlacnZiBuxokVPyYZj3k0CnLXY/W8aXEUyYN4gqPIlu+o0QRG83tN0VcflmX42eqzNUo+hyHCb1BysJaobWXdzkJYblmN/zSjyzxb37bcM/TcwyiqkuGxZZaWsMdeDiQ62z1Mnlvq1RJvsIpKUoAFyWQs06vFCC3owDPKxSLlXejlbn8XlJm9DwYtbnTUvEUtneOS6ceuO47vvMndp+/cO709m07vvkAt+F58Bp7zp+677/vmW59e9hJGEYKKZ395CZOSaR0siNOMlBndpJNwWxzUJeXtMwftrmnPeaSrHNLUuYeB7ewSJXZgmnNi0pZW1t8bfA8Q+AZAj+m4sdUgpBaZcj0RI/VTo+vPgW/9EdbePLYLLMpuCerlkZVUK+I3Ct3zotx7O07gFeDIWGSMOhXqCh3kUlRWvrJNKtIA03ttLweMgwt/UiUAG7w/QTf03iedFMFpJcDHAHX7xX80o+t8it/HHPf4RkutJoM6pLJxNKILZV04kDg2dT7z5wUm7N3JlUygOffN/3SZZznCjE9KdmqWoB7VFK6as4S2MeAXgB8NN8RpwFrxYe11SH3P9b79trU/cl1193wz586Mn/q2gNbvrkAP3LiOFJVbxmuPv6WuniCoFHNG1uFMHlQl6TAVrIEblvUZWeSxIFapEtblrAZlSJlgGeHuKwKs5Pgxj1k7G1TeWJLw4FcWaynTTpmIsnBHfgpuKe7LK72eecf1Pjk/XMsdaeYm5DMVVJwV5zurqWBZTWQ1AKbMrjT3pUgBEK+/LjPauQzEzBSj53Zp9kKlSSu+aEZaF51Y48HjoR0ooCJvGPd4A9drbqvHcC1sijpIaRL0GDhyp2SX/0nbT79QJ9ffP9mzi1N0Z/UTPqCRmyoxRBEbvSyr9xAIy8LNKXIg+DssRyoly9MIfJekfz8wJiELAO7FD+ZMvjLQWjJPcmBbgtpCzCIJHfcdZTa9Oxbtm/3/6DVHpz6pjJ4q9OhUa9fcfDgl/7p6uIDbJ0Oafc1SeIyXDJxQZ0yliQFtsrBLYumg7LWzkGdSRBb2FDjrF2WJemBzpglSzcXjRQpwJV15bg66+10/Z2+l+B7MRU/IvAjGtU+Wve4+4mE3/lMkzvu3URommxqCmYrTpY4CzDzyVV6Fylzl9k7QushX3tmkl6o2VrLvs84g2dBtiSKFRVP8eKr+sTGAbwfCde1nnWuD40LDnU6Gya190SaXLcIZicF3/3KLo3gAu//TJ+vPjPDfFSlV5E0Y0tdWwdyncYhyqZxSdZ8kh1DUdSOS5AULD6+o2AuVbIRFYxr83L3UFF7bjM9XgZ+2Va0hf2YpI7TysDjKw8f5DUv2/dPb7/tlY9FUeeo5zX+9wF+5sx5fv13P4H2Z7Ztbxx8xa275xFyEl/HJEK6JUYIlC0DW+bsba3Jp0aZ9HFEjmRamzSZMALskvVQtq/yGSqleYVpMkXKbLSbSWu+U3ArV4sReBG+H1HxQmq1Ab7f44/u1Pzy723i+OI0XlBhS0MwHSQ0A0s9gHraYV8NXLazkiaEXP1Kkq4ETp4stRO6oY+vFL60eYBJ6adkF3ZWuxHGHlVvwJbJPmu9Bv1IpOPWXKzgeUlq86nU7nTSMPv9WUp9oqb49pd1ufnqRX7p9wf84efmWInr9AKPuidpaleDE2jwFXkzhM6SPunKJ3OpUiSAyqQyKlbKQGdkBTZ2VGoW2pw8YZeD2xYre1Ji9yStQRJK8vCRLhfnH3kF8eK2wcrq0YsXzrN129fffvwbAtzahH/8996054mnDr/nqcfOoi6rYCxolTjmNCavU1B5zYILMjPHINPi1hT1DVnwmB8EREmSiDFpkoHbFmySZt9kGeDSoqRBjjB3koI8xtdOkgT+kMDrc+pSzHs/XecT98xw4tIUzZrHdAWmgoRGYNPUewZumYJb5kmhSqq9A99dOM36kI9/TXP0dJVKOoErbxejQHk+xsE6HR7Fmit3wxtv7vA7n52hW9M009kjQZjGDcqgtUzH1lECuVc6WW5V2DUr+dm/1+O6vef47TumOTE/wUpcpedp6kpQS4HuS+sunNRlyle/7LiW+mdF1tcpICvLKtbU0kqblU7kvvl6S9HmgC7VEpkC+FmMlssV6y64QGjuu/8M1+277T3bdrzuW+Ow9Q2lytcFeBTFaK04f/qRHTWe2rdvc5/+sIHvxShlENK6GgVrUvmRVaJlg+NlKQs5Cnibv5cdBJGzQMEKGW3bER2YAds92rxSUUmTuiYZeyd4OnadOzomCIb4ekgnCXn3R33e/+ktnF+exKgq0xOKad8y4RtqKXPX8vS9TOtUUmmSeuc5uH2XvRxGIUfPBXTDgKkgdXGypFPmSmRZ2IydEkkUaZp1zd4dISoY0Akb9H1BNbIMM4DrJE3UKOdjy6wEeKPgVTE30eNHv73HW26f5/2fbvPej82w1K/T1xUqWlHTgqqyBLF1bJ7W6WtZlDdkWc51TM4GcmXcYQFGYqlMb5eILAd0CdQj2rxUSCeFZaYqeeCxPps3Hd730lsrO25/6U2noijG854bxl8X4MKcAtucm54MP9o68xXP30w6oMext7ICK0nbwzIGd7IkkyQ5Y+d/KwE7/QEFYwvsht/EluxAmwN7RJ7ItEpOJQ7g2g0T8r2Iih/ieyGtQcjXnpT80Z1NPnbPDIOkge/7zPiCSd9Q9y21wFLzC3BXAkkQSIJUmrjEUOpMpAD3PZf5PHnR8tVHaoSRR1C36wLM7FZe1YxxIzA8T/Pqmzt86Itdjpyr06+40QxDz+LH4EUGLzQoJZ1vLQUyda0yYI147EZSCzSbJ/v86+/qcdWuIX94Z4OHD02w2K8zUD6ep6loQVVCkA1YyuxVaV0+QVAC+WjNynhxVpnRM4Iad8Sy1wVrixKbl+RbOXNKFm/BYkfz/k887t1w040fPX9p+QUra93FvzSDr3Yuk5594BY9/PDEZH2JMK4CTudmv8JSZmd3wjYCdVmW5PcM2On/p8zgI4U/rkfHMXmeUjZ5uafT3RatEgdwleRyROuIVjfi3qcEv/vZJnc+OsFKq4GsVmhUFZOepekbap6l5luqPilrO+auBpKKr6j4gopPWqFnUnAbAs/pb6WHPHsOzrcqLrGS6tvRxElRP+P6IEWqMSVhqNncFFyxs8/BMzG9yGOYzvj2Qxz4VDZZN0vUwHidRs6GqQ0ZJa4+/O2v7vO6F63ypcc6fPBzTR4+1GS5U6Mlfbq+xlcCXwoC6RrBtXS71ClRXKRKpGW/GzD4uvqVcSYvEZqhFHhaQULB3AkilybZv7Pp5/WNAKvoDmP+++9+euJf/4PX3fLal173Wb7O8KCvC3CPE4GJ1W8uXlyqBxqqwWCUYUtAdWxdAvcIsEvvmUyHlgBeOiAjvDAiTexIgb6UGbBN+pi4gfiZmyEjFjsxdz+i+cy9DT751QkW2nVEpYLX8GhqmPBcJ0/VI5UdUPVFepdpyWmqu31BkLF3BnAd4/sxFT/E2ogvPxpw+mKV2WmBJ02qY0XR6Ftiu7z8NJUU/aHH7s2CV9/Y4xP3h3Qjj34kqHiuX9VPJ0sVq5TK/WqEHJEp7i6LRgXj/PZqMOTtr+zzLTcv82f3dPj0vTXufrLBQqtGX/j0fY32FFoI10IoJV7ahaWERSFK0nDUPtyAzPNza0qPJi3cKlhapDobYusAHpedlzLr5bCTnDy7XDdG/+Zjz5y/Cuj/LwN8uWWIk/73dte+PDnZmMdXJq3HBmtkKShMnxuBQW4gReQI2EdOQnaRbFATOBJQloAthEntQINIAa51gq8jKpWIwTDhyHk4dUHx4S9M8NmHmyys1sGroJseNSVpeJaGNlQ9S9WDiufAXfHcTEJXZipLd5H+3aYgNznIfc+1px2/YDh4MgDPS5d5W0rRixEUlIOwJMlqpt0452v3Drl6R5fD52v0K4JaLAgiy1CRWnsmZe/MTcksyEKr5D57akUao9LpAx6D0KNaHfIDrx/yplvX+PwjXT7yxRqnLlQ4fL5GuBYQB5qB1kjlpvoqQKePGZPn0oUi+F93K7splNlb5AydlOSI+1vmNKTCPftBmILOE8mZ00MeePIJ5ma+/u4RzwnwlbWWCKPwJ3/rw0cmL59NuPmKkBfuj1yWUEtMJAkjxxKWjLll6pTIERli8tcOvKPgZt0VKrJIPdd8LqnhJIlJd3lICAI3STVOEuaX4Qtf0Rw/V+WuB6ucX61y/EIdggBV01S0oq4tdW2ci+C5wfkVz41rcyDO7jK9qxTgpJo7BbeXEHiOvd2FFXJyEQ6dquHJUXswlygU9eC5o5A5KSbta4w9rt7d54pNPZ46EdOLPRqRYKjBj91MQFUCuJQCIeUIkxdMWSpjNVn9ueujjBKPoefTrIZ8/2uHvOy6NudX23z5IZ8TZwM+/2iNC8sVkr6HkZrIVwgp3UqRduW7yWSZXBFjkrKE8bGAs9DkmduSvmvLQE4boEl7bEPXqyi0QeqEFx0Y8qLLI27Yeffs6173L//pjwxPvUsHezYM354T4B/52KcJo4Q//HSPYX8Heza3uHZPn1fcNODqvTFbpxIu3xOiEcShTGWKyqWKGQO5kybFKIeivWw8sLSliL1g7VyKqAQvSIgSy4mzgoMnFF94sMZTJ32eOVmlPQwYhgF4PqrpEShBTUFNG6olHzjQWZ1GVjbr6sKDVJb4vsL3ZXoB2EJ7e4nLLHpO51f8CGtCLq1IhjZAa4kvLbpks40ReH4uEzva7xjGHgLN3HSIVAO6kUdPC+d0REXBmFZmJAMpM5MaIBt2hMAaWTB5aTCSl6h8/ERv6LNlKmTX5oibLhvSD/v8/ZMtnjrl84UHKhw8WeHEmQpRrCBQWKlASBJZygblSYoNtMqIOC+zcwnYZEyd1tdmtktk0Bj27Q3ZPhVx5d6I228acs2ehB2zml5/tX7uxMPfDfpd/0sM/kvv+RSra21130OHRGco6YVNnjihOXh8wOcfHDLhxezaHnHtlUNee/OQV90QggVPx1TrFmvSH20EceTmlOQBKaJg7vIlbx2gSeeXeNq6KkVpiUJLb+AY/dQ5yR/fGdCLFI8/U+HY2YClrs8w8UH7oDxUU+FLQVVBTVkqCjfOTKWFR8qxtu8Jl/Qog9uT+KksCXwIfFLXxKXMPW3wvTjNiEZUKyELqwlfuK9BqxMwNSHQqRefFX2J52I2UwoIjWQ4VMzOKF5364DPP9znTKtO35NOpmjwYosXZZ516rHLxNmFlGedyPwzjNWlz3BA9xNFohWx58Y+RJHnrFQvou5HvOzamBdfNeTNrxjw7FnJE4c8+qHiD79Q4+S8B0LS62uSUGXlm665PL/QynFU6QePABywBpFYhLHYVIJU6zGeZxAYXnWDw9c1B0J2b49paslsQxInPoNhhUgnKPuAmNp8vRos/VFcmf3evxjABTA12Xz3yfnh9cPYInyFVVWMUSz2fBaTiJPLCfc9lfDRL8bMTUVYY7lxf8jbXzNwdQSJZW7CcMO1IfVKJqdEngMTG3xqNpyn1RM88aRmuS2pViQPHvL41D0VBpFiECkuzvsYoYmshxEeaI0INFpKfCWoSEslBXagLIGyrgZcp56vLpjbz/oyc3CrtEdT5Oztewbfzwq0kpy9fT9CqZCvPKb4xP0NlK+d3Taiv5+bwTMvPEkyx0MxGHi86bY+n/xamz/88gTduEI91eFepsOjLClj824hIWQOMPdRsqT1SwA36WgH7Zjc04pYa3ScOKCrBKXcIP2pSsxtB2JuPRBhxZC3vrLHIHLj3P78noCHDvlUA8FSW/HEUz7tnkxVkuA5RXm+84RrDbzhhpDZycR1AyWGt79mwA1XRFgDc5OW6SmLQmKtR5xoun0XS8SxhxAx9crC9dprvtta8aN/IQa/tNhi02yz+V9+888O1LVQ075laCU94WpPEAqsxpiEoUm41Eq4tOr00rNnDJ/6itNNNrFMTBluuT6kUXX1vxumJ8uXVeo6rHUVDx/0abcUUks3E8Vqx0xCu/YgqUFqpJR4UjgwS0sgDb50QPAV+KqY0edALoqGB+0aAbLG4zK4HcOnZbVexuBJ6R4T6AhrQ84v+YTDCsGExE/T3iqtyhvJYgoK8ipZp3l3ulGEkcdUQ7FzNsQXA/pxQD8WVLUbgpnVkGQJLSXL5a0y/yz3GWlsZEyRPTUmbT4ppFEcJ2neQKVz2WOiOEFFLpfgch8xO2ZNumIYrto1ILR9pDa0WoKHD2rWejJvOC8D3I6eZbCua6tesbz4+oiJKYON3cpeVaBc+RzGKJJIERmVSjlFkug8YI5iQXdYV01PHthy2Xc1TfLtbanqXx/gnfYKg377XavzJ1/ZFB2iiqITWUQs6KOIhcRaDTINAExMFgzE1tLKIl9laK9ZLn6lXvqJGwG8rN/SkyMEJttygbTmVKgiyJEytbIyUKdpZ0m6cWvmG5ceddpJr0i33iMHt2vrUvgpuH1NXmLqGDxlcW3w0+yo50UEQcTZJcPvf74O2seToggwc3ki1jF42R/OhoQ6sLnBOmHk8X2v6/Nnd/d55lKDbuJRi92mtK4K0BadOCrLCZSDvax0MZNCslTgld1NXgujtcJL3LwULwW6kkXSzNWNp8+FSQcHJWhhETZhtmb4Oy81IJJUZgIi2z9jvUNWwEGA0ZiI3KiII0GUxXD5AFWJTQEe546QZjD0WVqT2JVLr5T18+8yJvnxb8jga+fvRCrhT1Uu4nmgBi6NW02HRw6FcFcUykXAUo8GDOXnypJ4I9UKG/zejN0ygI8GL0LKvAVNCfCE+z6BcNWCnnSvtSStqUi7x7NCIk1pDgrpzmxFV30BcJnLlsC3eUub75vS4JwYL2VvX0dIGXJ6XrDYriC0JpCMyBNZ/lml012WDiPAS52OMPaYaQ7ZvaXP4fkh/UQzSCBIBF5i8eJUh8fkzlKRQlcjnQpZbOeAkpWlipI0MujEkCiJ0tn25SotVkuQyqQrhSms2RTkIvts0k3EpM1drwzomQNWQKBogaMUj9kxC7kwKdI5k7mnr1IicLFdGEkePDjPXU9+3t8oD74O4GH4GEoKQtnhQqfqZjnjgIUELSyRTKdMITBW5fZkFkCMl7d+XWkihFtW815AgaRIEbupVOAJiydS0KYSIHuev5eSfVEKSt5g6yvhwD4Cbuke/QzoWfCZgjvr/tEmlyiedvrU9yNiIj79tSqXFqt4Ewq/XMNRdlAYU6Tl1HVWZVlK+gyGboLtG17S5WtPDmjHFXpaU40NYZpOV7IoiMoKzrK6fHfLAk2R25LOOkxnqlhIlPtMbQSxEuhEprvYuVqeOAV6kUwzeYLNbRg2mpsQsgzu1ObN94p5jvM/ksUezXBbI9PalcIRcnVOjvx8L2bT9IBWf8DhY1GxejwXwO/96udpNqov/Y2PfuHmzz88ZKmnaOhsrohFWNAIfGNIhEuxJqVaAuuu5cL7fG5Y5yc9r1YTbtNukSYSNORWm0pTxtn3yDSuyscxuxHM2SiEMrDzOSgK14+4EcCzgDPT3TqTJTbV26O15L4X4Xsh8y3Do8eqoH03AlraPD2fMzijLO7OqSj5wOW+VJl74lHkcePlQ2Ym+7RWa/RiRU2BF7vforIReFEZ4GnzSf5BcqxSU6R9k2kxnHKlzJ4RJEqSKEOiBHEK8nLxWlYOITOQl0CdlUwITApy0pLmLBNdJO1GLAZbHI/1QF9fBpJJlowvpUyYbIZ8x+19Vofbb65Ove2l/+wH3nTvK29/5cYAH0YtOv3e3zm/JG44etpjri5ycGWri8VihIuCnWlvC/N+DNzjIBfpbyubSdlVnmXFCnDYnMHHSzh1VhuR1oBnpZ6uuTjrVHGyROXdKwWws+Zbx96p5tbkejuzBB1jF+D28urECEHEHfcEfO2pBjLQ+FK4+dt5BWHRRldU/I1nM9P6nZzF0yXYKPoDj1uv6fPGl3V47x0NwiSgm0gqiWUYk65c5ao/k8o5M3ZBPReTg9EybyXMwJ0oiVLGMbqU6WiJbMc7UwJ4CdhytIyikCnZIl2KwcR6Mrdl2TKWDBwvzhuZv2Wcu7JrLsLvDm9YTub/jhThvRsy+NPHzjM92Xjdez/02b/32KElNtXdLgFKZq5q6cTkgKb0Rdxf8y9ZdgxKx7s8dyMDdwYAWQKFpKh5KI82yJjbbUFCsVtEaXJVNiYiZ/G0G8ZTo+B24xTGmDvt2fTT9jZPZw0HcekeERLxkS83SWyAyrOX5QCz6GvMnI0RDc5Yu56RbjpUkgWbGoHH21/V4w8+PWTNRPSTCv1E4MXkLC6lRcYiLzpzduF47ZGksCZFCeSCRKdjHVQKcm1RxsmVRFlU4ioYXfZY5qXJhUVZru4sypjzppQc6IVUWSfXxtb2olCrnP0evRAEpbR/UmEiOM+2ufm/N7vjO+4adE9/vlLfPQpwG4fE4eDyuDfcp4d9tjR8Z/eNfIlCxpvc0rQjX/TryZIM4DmTl+RJDvSx8sxci49pzgz05dkeSolCi6cVdyPDblJgayUKJyW3A13HvWtMtilzFwGmLrF34IU8ekxy9EIFqzyUlPjSoMfrNEoCfNxFye7FFDBR8qsdyKPYY9+2iKsv63L/s1Ui5dOPBRUJXmLRcbbCpl04carDkalYLH+kKLG4KEmj8pAm1xyulUnBnbazKVsCd1YLZNMygYzJyVcPUQI3IpuYtTF7b3TLyjjyQ1XOfo9dEDZWYH2SJERU2TcRhZcnkfn8OgYfdNdQNmTCH7J7xs3lHsaiGOVAVjdQ/hLjBuDX+/rFvyiXW4pxoJfArfKa78J2KySLcHUxogC3CzJF3i2uc3DLEYCXh/+4bntyYOfZypy5E3ztEjuuKyjCEvEnX66xvFxFBNr57uWLcLwGpSCnEYvQmFFWHfGmjSKKNLPTkre9usOjx5oMkwo95VNNnBbPylmVJAV3tlaY1BPP0uCOxUf0rU3HeYxNpXJ3iTLZimTz5w7gMv2dJm+by7r8hZBFc8Q4g481rYws88/B4KM4K3T76G9wjdurrYC+FOjGGlE0yP9vOcAPPvpZPK0YtleYnfJYark5F5Eot5KV4Go3Yuuvz9+Z/1/Ik7HHMqDLLD4yXqxgbFlmcCVKLJ7JFYnSowD3dToAyMu2DkwznNri5al4kz5PRu5auc6dZ07DR+9sMJQ+Sqo0ezl6IY5nMMVzHKncSSm5KSZl8DjRBInmba8d8Luf7fHkiSqR8uhJiZ+Y1D0SyMSWjpN17WWivJ6a9LNG9y0qM3liQOcWohttrdKSAJXYYlhnPpdF5Bd0PKbH3fksF8tRYvIM5N9orU/BPgZ09yDy1c9NJpCs9TwO3n+cL953aaS6SQMcP3WBLbu31g7d+6t7Ly2v0R64vRHBMWTZmy+uog1uNv9e606qEOPP12vv55YoIgfO+DhkWWLsLMjMpjZpnW3ymmpvNQbuLH3vZY3Jxs0MyVvEsp7OOL1HKC/k6HlNJ/RB6VSe2LHy2PELd/RgjA40GvPC026cIvGjqXuCA9sHPHk0JDEBfeNTSVzNtk41uBJuI1eXWMr4zkAeQZn85BR1+y5Xp/PBpu49ZSCRDvAq3Z1CmmJCQDZdK8m6+3MDoAgu88Bz7HznEB0BxwYOy3NR5wbOi9aWifqA1RMRqjaz950/989q/+qffX+vPrHDAfzs2QssLbVe+/iJuZ/+gy89ydpKjdm6yPXVyBJbArgY//DR7+wWoPIyXdJgOQDkKBAKYBd9jKrEimpkqGYGcooaaVUCdf48TfIoUi/cgdsBuBgK5JXlSZm9VdrX6YesdAz/7582WO5XEIHn5Im0I6tKMTjnG4i2vOZIpCOEywyeZu5iTbOm+Ynv6PClR5ssD31CqelLiZ/2UBYjH1IGL9fTC5OX0VpMCm6TZw4LZ0WkDG7zID0Du5IiZXAniZLcRSGXKYUOL9oJC5mSBZ4FkMszEMfJcANYPzfGhCvyu2JXn4lmi9rsC396ZeHIvcNh988gZfD5iw8zWfd47JnzHD9bYdukxBrryj6yIGkMoBt92HP9YR3Ax9it0OCiALkclyijg2lyYEuBVMX4MVUCtZYSnUoSnQM809wmDyo9bXJwezqrvxhlb09F+H7Ih7/s8fTxKkgPKSVBVhpbsjbzPeLTH/mc1YQUbF50lxcgj41MN3nyuHZfj29/WZvf/WwFowP60ieQIk/6KCmISgHdOJOLMpOPWXC5VFGgrFsVjBUO3NmUMANJPj9FFAAvPTpwizSjWciT3FkpERsjgC/jpRzNjf61TLTZBazSz41jxfYZxaXeSe5+sIoWTodrgE7sIWIfIyTNwFDRxUy/kZTz2IdkNL4RuNdLEsgMM9IDMQ708vKetXvlbJ4z5DcCuCwAnid6MoBbNyc7lSKeKtwSrzQcqNDcjr097aZWrbYMf/6VBkutACqpeyJKwdhzSBSEGD1GpQTvOtuulK0zSeamaKaaim97ZY9Pfm3AcjcgVJp+IlN7UqTujSiasWV52XfAtrbo+jE5mxe9kTpzVlT6XKavJSSK/LiXQS6kKHXfZ0M8U2kyosfLw48s68bCCZsu93Y9hsrJ0DxgdZ/ryqwlw0hjrCbwYa4eI2ziAP7MoaNs3TS158/vfOgnjx15gs0NScU3zq1QZU+6QLfYYF0RpceyLLGMneyMqccYfIS9Rw5WmjgZAfbo7O9yh4sb7s4ouLOdDTLmViXmXsfg2biJYuSEVi5zefKU4NnTFQwBQuq8ObeoHiwTgii5GsWPL+cRCiYXJXkicicjbzdLNFjNlbtD9m0dsHy4ik18x+KJkym65OIU7Fku9EoFd1ZGC+513laYriSymFNSjm2UcReNkaTaOzsvBRnl4DYinaWSafKyZLP5BV8Qn81flKmg3KhdSN7id0njJHQ2X0bJSfygy5bNcz85s/XWxy+ef/UpDYbeINzSrNjXVewKcxMesSmPaRgFY+m7jDD5xow99rr0mM8KYRTko/JElJwJUQo2C0A7BicdBVz2wcv3dEtrVQZ3CeTpfvVeWhqasbdKX2sdoVTEp+9vcHSpCn4hT7ySdTlywbJ+XMT4bXTMWSktXd7dLCujDTWXzYa84dYeDz1TA+Pqo/tS4iVpdjcZlUo5c45YcinIrR2ZVZM/l+lzma4qMrunsyfTFUOKlNVNtsLanJiKhE/5ecq8pfa2vO0lB3dZEWycGCr++1QOmaz2RWCMx9K5ED2pXjcxN9wSRvaUzgIjz3P9iMQgzehVtI6Bx2l7g/fKzLVOd4+BOns9HqBlgBYbADtncyVKTbglcKfzCYttO1gPbF0MCMpHvGmTgjx28kRFVGsh9x9R/NlX6vQHPtQ0Wgo8MSpNxr8/Y8dtHcAZ099jlmHZF49izURD8+bbB3z2az0ePOJj6x79JMAX5Beayj+/0MEjejIFeTnl7YLP9AJTjs0T6fS4KbF2FtSbbOsTI0r6W5QC3dEYqtDdRVzg3hM50MUIiIq/jWOrfFGUfyc2254RwliQxG6Ap15phySELK5FrHRtuqfjBkAc+ZD16B4/hyNsvQ7gYpTtSo5J+XkuRUQBaqlKuzcokdamFOAuQJ6VzVq0LkYo63QTJq1Gge7lbO3uSrkA0/dDojDhs/fVeOZMDTwPIVUKqnRuSCm4FHL0mJVXsfwYlVk7rb60pUymsdlUMJl74kmiCUPNVbtiXv+SLk+cqjKMfRLp0TcKP2Hsu2ReOGMM7h7t2HdBZRebwSg3a9JasFJgFUhb6PF8RZWZTEjPjSlWDTkO8I2IMn+dyYAxHI2zdwlYxYUiShczzExETNb7BF4fYfro//Qbd6CUottp0x9KAq+o8RjVTuOftNHVNQ7w9eN3N2LuUVBnjF0OMIsdCAppUrIKc8bOAF5MTs0lSsrcjrFtztQ6fyyee2lwqVVE4Ic8dVrw+a/V6PV9qHtIkVUOUrIHN8hiln5n+WhltSgOXWll4Qbls6ZcA512+zQaIa+/bcgn7x7wxIkAtM/ASPxUiyvjNtgtSwORkMsDkrEMoiqcHK0opIt0bJ6tKlmQb6wDuzRFok2YspuSnnNTMPt4jmMd+Y2BfhTQG2Mt+7eZFFLSndPJSYMc3E37wsMkSYK+ML+ERaBsRNNzSRNPjV2BY5+24Yq7IcDHAstvxOKyBPay5s5BLtLAt1x/klYYphWFrp0rfa7L88HHwJ3evWwKbVrgr1Xs7jrC8yJim3DHvVW++lQVKhqka2j2SiW8I6Wx5Xv5xQa3kZnaZOWs5M3Iic3mmhRAHw48XnFtjze8tMfTpyvEsYcVir7QeAn5dxJJweLFV9iYyculGEplzO3Y3L0WSCNyHZ77/RmjZ6ttyuD50M4xcI8HnAXIi8Dz6wJ7DPlZUikLfoVw+x4N+h2E7bjs7PYJ9x+YBKR1Q2+0FrnN9Fz6cd1nli6vcUlSsLd7IcsAL7V1lXcWGAH2iFQpp+lLdzUGblW662IT1AzQXgnUmXPiHBP3qFSE70U8fkry0S83AB+khxAq7yJS6Uaq5axr2REqCEGMAYyR4rSCuUsa3ApM4lr3nEug8vS9tZq3v6rPF+4b8PBxN0kgMopeItKCrxR0ic2X/xHwlL6LtdaxeAno2V9VCnoj0/18sqA4094yZXPhHvNzaEoDO2Xp4l/nppQkypik+7oAH/VV0mSgW/WwHp6nqAw1xlj01pl0q+1YEoWuGKk4Qdn/rDghY+9+He0t8tcF4EtTVsd0dyFVRJosKKynDOD5nLwyyNPWtGKzKbezQzEAvwD3CGuXHrPG2kyqKBXjeTFREnPXg1UOHquC54F0waUvbGlybDmwEusCq3F5kh07W3qSN0CUakRGqgsTiVGpo5JohqHHNfsGvOIWx+L9xLH4UPgMDOhEFIFfktlqDlCFRHFfoFzrUbYulQSrLNIKlMVlP61AWIEVjgxzqVIKKgv2Ts+rKV/4pbnuiBESLONtIwYfwV5pbnx26QoBMhL0hpphEuB5GmstestsgJSSMBT0eib/gYUuLC1jpU95LoCPpmNL7WilHybWATu98jNApx7ySP2JIN97J9+9OGu+HWl4KLYuUWoM3KWh+Ll7ohKULgE8lSi+jjh6UfDBzzYYRh7UvFSekLemqfIuwfmFW8QfI3plAxIqA70sU8qbAxi7kRbX1APJO17f446v1jly3l18iVH0EuWqDJM0+YNw+jsRhVtRWklsBvQSwGV+/p0ktNYFk1a6c2SlcAA3pVgpY3JTjqVG7+W9ikZdpjKoxQiL55fi2IWY16KUrNYsWdbua7R2AFe/+97/tnmyqf/L6tL5K11jgMztt0wiFH50BryCaXMwZs7GiKwo7VW57n2ZWnvZOODsc+WI5Td+z0YmlD3u/FEXuts5KKPgLu/VUxRTpbs/6ChvZvB0SCJDfvdTNf7g85MQBKAqKKWpKUtV2XQcBXmDs1dqjSsyqeVElKSYDMtIgFrEEoXtmF20QpI2/ha9kK590LBzS8j5JckjB31i4SYPGKEQwpXSbhT3jMZKYjRLmL0eL0+1tnQxUDg/I4BLQYYYIcTyvJ+N9l8qe/C5F8/YxOIRdykLwN1GVXEMUTqFdzC0dPuGtXbEZZdft+Wa62/5ou6unZ4M1Nq3zk72qQQBvb5gEArCyBLLdLttUdpCO7+ayoUwo7p7VJqIkedyhLlHX+dLXZm1R+rA7Yj2ljkYCkmiStpb5Ts9lDaiUnZMkmSVghl7R3g64tkLkg99qYabv+LYO+/czz5flGSTKDdvjAaaovwiB9AYOEy5NqSYK5g13CbGjU8wiSJRqRZPNN/16h6fuKvGoXMeyBArJIPEQ5PWi2THOknPV5IlfjKolqSTda8trosr+24yPffSgrROtmS6W1r3Gdak/rhJA9SR1XnURdlImoxIuuy9MbUwciGVatjjGMLYMAwTeoOEldaQ2Qtr3xomZyd1JViCxjI7N3W5uKKxRuXTYbMPTozLGI3sNDwSjZe+0Jjmzh6fU5aUdawcfV4GuOsiyfR36XkG5KzaLdPgJXC7iawmfXR2oFIGlfndKkbJGJXKk0TFfOreOoeOFtpbCum877yDhg1PoGD8tRg5WaPUUNLfZdYbY6us890kbiZglsIPI81Vlw9500u7HP9QQJgoEJpEaPpCoJPUviMLdDNHpaxqc3oq2g6tQNm0NgQnTay1qRZP78IWKX4BRjrgm0ymlFy4MtjLK8o42MsY2gjglI5RDu4EotgQRgn9YUK7Zzi7aJhbGZIEffT7PysJhGVXM6ThG7rpds+JKYn5EpyzJWf0KxRXYaGdynbQ+A9cnwjYuLlhlLWz1xlrZ2DPmDsHuiozeaG7VRZEZlucSIOWxdB8pRI8L+LERcX//HiTgfTIJmgVXfPpClKugS79jvXp3o1vo8t36mbYse1eTFmDi5H6lMRo4sQjSGJ+/C1d/vSuGscvaFARGE0kPPpCoJLC0ZDlYHMM5Jk3bwGdXXDpe9K69LzFpqydeeJmhM1t+jlGCoQtVo/1ZkIK/BIhjrP5xgdtXG9nG8i6Wvg4sQyGlrm5iO98VZtrL9fo7RN1lleHPH1iihv3yRGQuf7VtM6AtGZhJKQtGHx0qRmPkEtJndR+3IgB5dhnl1k7S6SMgtsUEkWOMrge8bdTMI/43aW7dCzu6ZB2aHjvJ5ucXwhA6dQalKk8sSO+d/68dIJGWWo00fUc56zE3lnjQblHM0vhy/yeN0NIRRJrts8N+eFv7/BLH/RpRS4gsFYyNMrZhkn2PSwkgpL3kJ9MO3Y+VXoVpvObikdZOD5S2oLBbencpZahzRl8o9VOjGFmNPAcJ808GKckUWy2c1uhLnxPcNUOjUimuLQ4h75hv6LTlpw/41hblAAsSh+OdNaQHVElY9q7/FgGdQnc42AYZ+4M2AVrF1Nac/ZOC+4LQJeYXJuU0U0uTZwcMSWpkjF2nD9qFaGDiI/dEfCeP2kyNJ6TJ0Ll8iRvKh6zxEZ0d756jZym52Rx8hNXymjmoC92rTPG5NnNPIVv3FbgFR3zo2/t8uxpn/d/ymlxUCRCMjAu4JQJOYMXBVjkJ7zQuYVd6UBdSBZrUzYXBYs60rHOPhxJ/KSVf6L8mSnYM5IbkShiHYOXsTi+8mUO3zhbKGk5eloz9Yxi82aJ3rF5hWhihVl/hYXVKc5cCtw+4abYeiLXbOVlZB2wR5l8PAu6TquWmLDQa3ZMothSkJlu0V3eMlCVXQdTkioZmEtMLovqwFx3549u1uDKKvzpl2qsDjNwO4B70mlvLUblyciqk9llJTyXeGCUsccC9oydRqr6jMiTKuVOn7xOXEqUURijiRPNhJ/wltf0+MS9NZY7CmQERhHh9Ph4deGYuHxOJnd5oCIplNWnZMGmTVk8B3Tqkxu7/pzLlNqdSkqlTA7uclPyKJbGn5dhnbl6WkkshqUWnFwwzOwaknh99PmVFkm4Qr+/wFo/YK0T0BsUGqd8DGTp08oRb/lxPJBg3Y8cCzTKbU85YEojIqQd0d6FlbY+qMyG0xTgTkYCzCzIzPa50SX29moxd3ylwoMHq5iS9nZNDZk8Ga03yVuzGP29I5546Titv6XsmdtnhUQZb4aw5aDTSpQtfPE48dAm5sXXhrzxRT1+/9M+qBCExArB0GiUEG4LEooipQwq43IlswatdXZtxuxKFjLKylKhmHQzXkaY27oL3pYK90xGYukbsrSIjCaA7Hps2QJ3pGuOEKm9Kpy1LIDVYZ9GtMbmTSts3STRh057nDxX4bN3T7JrSrNlMqIWaLQS+eaf6wKE5wD0uvdKf8u2uyuYZH0GrNyNUm6FKgO7cFHS18qi0xFjUqaOibSpri5JkswxkSWJIp17EngRx89IPnhHg/mO7/a7lm7QuxIUOzaMxQvrfmfZd96AvcdvI4mekeV3bKvFbN+jka57t3+Oe3Tbn2yuJ/zAG7vcezDg+CUJIgIUBslAyNImUu4cZKDObczyBVfm8zybmZ6HMpsL9zwDcyZbspXY/a2QKVKASZ+bsdY6h7cshT+m0YXTRRvhUWpXUbplFl58Q8L0xBqNmT7aj9DnL01x8ZJhbWmSKamo6wQpIPBU3v5VBu36Gt/nsH/GgF4G9ojmFkWJp9PpttDeGXOrDPBjIM9nZI8/T3LtnbG4zsYBqxglE3RqC/p+xDAx/NaHm3z10arrbZPaaW8pXdeOKOav5N81W1nGV60xJi/jXIyBezSDWbgWxR7vYwmOXJO7djOTOSqJIZYaFWtecVPIj7y9zc//ls8wli4DZSRx6qpII0rfzYF8ZISDdZV5lL6fey1KsUHaXW/BSpsGmCK/APKgMwdisfJZsRExpMfIFlo9uyAyGZK/FsVxzBjcU24njmYNpmsV5hqbmJqaxgua6O1TVXRUYXWPRDvSIk6cxSZldgAKu0c+xxccB3nx3I4Wv1P2u8uDfTZg79L+83IjeSJt3u3tts02JYlSGvub6e50xnUeXMoYz4/58sMen/hqjWHoQVXn2jtn7zywZeS+kbdf1t/uvnHTcbm2JwN2IQ2K4iurUkY3o7XiiZFI46RKBvQ41lRrMW95RZ87v9rnCw8rZxsiQUgioelnq2j6LbMKv5ytZeax2NJ3I7UIM1Cn31O6YfVCFK9tKk0yoIsc2CJl7lKwu0HfwTrJkv090/TSbS6rMiyJbHSfc1IWVj0uLE6zI5qm2ZxGX3c5LE7B0rzg7Hx53SyxjxhddsosvA7UZWBvqL/H3h8ZyVbylmXJscj0b76funuda+98EmoBbK3GgK4KcOsU3L4Xsda13HFvjSMXK06aCFcSKzLtLShNkLLrwJ2vQtkxyAD93MJ7FOfWsWZmyY3ei71F1w8HKmpUpFRIkyCNJhpq9m+JeOPLujx4yKcVpulX4/R4iCLbB8Ltjzfe0lasORaX3MkvSOnclmyH64LNM6mSJnxEWkOeA73UlECJxe16/Z359FIU8qmMM0y2WoxmYXNzQ8LJC4blyDI5adCzU6ucX1jloWc71LwJNvklRipVx41nFjcKGIXYGNgZ4Ms6PCtSGmFvkQWVBbDLYBaCkeBS5oPZ7QhjjwSUWSKn7KJI1ylvSPi9T1d5z8cbWKGd7z3C3hTaW27wvctLrCgf6NGCoedi75ECIsZAnTP5+lY2k6XtjcEkEiOdL66kIUo8pDL86Jt7HLvg8Z5PaKK4ALlBMBQSZbJBEim4y61tOahFEQnK8tuZDqcAunBAltl/JjKpUoyYyOSHzaXqev2dHU9bwpW1BQaL4+wqFbPxd5lrM1GPedG1Fzm6tpMLnQb6vXdIzp7XXFgKuGoHIzXYead6uch9RDuTXm0l8V+62qQYzfKNMHg5qCy9l3ncGbMXmy255tJxx0Rm4FZj8mRsz3qV7j3jNHiE50ccm5d84q463a6H28JijL3zmu/S6iKKBE/+m1n/HL5xkqdg8BLoS5JldIv0rN6jBHSZAV1ipNPiUmqiKKFRj3nz7T0+e0+VYxfTE+gGVJMIQT9N3gsBwqTgtgXYbQ7q1C0hTf5kF3HupGSpe8feKgVfIU9KQJeFgyNT3ZG9FrY8fLVgfGwxCqN8QWXcUUwhcMckjgU7t3jc+IIufnUZvWNmChVGLMxJmjW325ibvJrN8ytVu43IFPt19HimtcpypnwRlBnQrpMn2TgwVWLxcmJHivJg9sw5MSPbbciSLJEydUxSJtc6ZhgZ7nygzpceq7rh4NJzAB9j76zISwnBSDCcadmyu1QI741193OBfBzopbsxafYw30HabUXidLcpZIqRJEKiEokRimioec0NIa95cZ+zn/EYGqfD00ooYjQDAdKUtq0SIqfCLPWjcihljkp6rQhy4CNEQfbWnVOb6uURoNsio2pkpsXL5kOJ4WUhWcpaPtVK6feRZElFKWGgBGtdDRen8BvbaJhN6Kv371rzxPCz81urf9fXUA3cZkyeJ9PST1cSul5WbKC7ZXmS0ZhrMiJfMieC0vKVgb6YP10AOwN6UTY66pyM6m+Vp9+T0vMYKV2njvRj7n7Y55c/MEFideGcSIUQ0u0DJIq0/CiDlx2fjdl7BNziGyA7Y8B1MsWOyBUDeZmoNQIjCkcl1+TSeePCaOLY4PsJP/ODbY6c09z9kMT4IoWs+wGRUfRHBJUtyZINNHnuhaerbfZ9U8LKdLiQKaNnGjpn9NI8SitKUmVMrgicj04RiLr/h3NslDRpSW02DaDYdDhOJFHcZEcy89nNzd1rat+eHd1ue/l4vaJ+xNeWatVtpeenyTytixEM450048VQ+QAc6QLCjQqmlCwFi6rQ1EVlYNkCLCVySgFlXlD1HOAuSxU9ktBxvZbnVgS//MEJ7n2s7jblka4dDemhpaAqIUgjc0/a9bXbI/e0ATofkjM6jCireZdqrGG6tBoWr0Xporfr4p6cDEpzAMW41Cv/zcLsTEygLQ8+6bPWl2NLjcyniBcVhw5hYgT4f5GrtXQhjMmvwusvD7cvXq+vLS9tqpCVh4wE3iW3ybj97ZPEEseCYWQxVDg/v/oDB586ekTPTLqt+eLYEEXuJKxn3rKOHv0b6ZIz+t6ofMk1+siARkZPzsi2GKPSRG6gubMdBja8q3JgmZbCps8TP+GDn5zgz75Sx1YUCOXQKTRCypF+y6K/8et0zJccgBGTdgwX5bfHjapxQLjno9324x0+Jp3oZFPmttYUNSpCIo0iERrZT3jLK/s8c8LjXe/ThEFcAFwIrPEYZlZwFqklzsS22AKUaQLGkmY30zoOW9bGIpUXODbPfO9iQUgdF0qMnWEkoXBPSqOWs6SQzZhdutVMmHQGIgIRF3LRWksYa3wfrLHozbNuY884ihkMTF6llV1V2YnZ0C0hP07rLwrsyL8tJ0dGPfBCcxepeTsiVYriKpP63mMAVyYFcAbyMrgTZKn25AsPBXzgM3UGSToFX2TWYJq1FHZEe2+Ymi8DnVECEGPH6huxn02Du8x7XpfRxK4robWylNmUJWdFKFeYJdPiLGlIjCbwDD/4hi73PeHzhcecXZh540iBsZqhcZnr3I4Ytw5TpOZMKwQKm4K6BPKs6UFk9iD5v8niWCFBWjtCEhmAM9mSXQSk+DG5dHHHUggLSWpm5q6UK5vthSGe53xxvXtLGylhODSsrBkGodtBNsn0XolqRrOXduQkui58O3ayy7OiNwJ2Bv5iIyM5skRnzQWmAPqIDjejHvg4e8ukCDB1RG8Iv/g7E5w4H2B1sVvyiPbOJNIIsMcAzQZgziEsRvH8dQT5yHD3kSXa3Yviq7IeX1+bYmRacSjLLK4QiUEIjQwNl22P+Hf/sMV9PxXQGaQ/xsj8eyVoBil48uJuU4DcSsCkoE7jO4vr+7QiBXe2Y4XIdHgKVpE2QqRAz+dsjuBIbEiiBe4ysJdFULayuf0/o9jSH1ritnFXGRa9aa6JlJJ+v4tJ1lB9wWCoiBMH8vFm4xzg2bkbGcWVvt4gqFwvcUbliBCFFVhIFFNK8pT6ElM2z5l7xDUp7c6bet5aR8QJ/MbHGjx2uOI8b5kxd+GceGJUlqix7z6SzR1j7izdVh66uRFfr2PyMeekaICgKGayrphpXbWhcAyeB51GOpAnEiPSe5JKFWO48cqIn/jOFv/9w5OEScrikEeFCYqhybR4mmsvgTyXKKKU5RRug15bZnMJwmR+OCBtCuoiI54DnFFGJwswM57Ij3Ve2jrCCtZmnT2WQQRrHcPEzATNiSZJnKB3XP53UX6D9uJjDDqfJE48jAEhJCKR+WZTI4ttmaTG5Ihj8/FtLMaAnbN6eQOjUVlS6O/R/RkL9k4KXV5O6ozc08CykvDFBwLe/7EGrb7nPMDU8yZt0nXOSZG1LJfylnV4MZptgxmEI2GZyF+PQHoD1l6H9xGg21JwVWbt1D3IJEk5CSScjZhIhbTG1avEimbF8ENv7fHI0wF33q+gFqdMnZ04QWwkA7KYogC5xZXGktuWzvNOY1VX1ptJGJPJjUK+uF6AUaCX0/DlGpUsg1ngS6xfDLPVzlpi4xqPw8iy0Db83bfczKtfej2rrQ46th4Yn8RKpIpTn9n9Lp0W0oycidKHjF5lo5p7o/fKwC5APyZLSpKkkCnFDrsO4Mmo3y2dFSjzfdVdYClljNQxh09p/udHmxxb9p3nmfrd7lEW7F1KZI2AfCN5MiJNxqY1jR2nUXYosXb50I7p7lHnYaM0/tiQoKwQy5p8U1mRSRVhEVIjI8u+6Zgff1uHU/Oao+cFVpcFlgDpkaQgZwzkKb2mwE6li3DrgErZPQs0MwMiA7koSZcM6DlJrAP4eBxjR49rOQNsC2kUJ4LYGCq+YKKuiCOFPn5B4vuK+XOW+dOGqYaTJxkTS77+rfhCdlS2CPK9Lkd1uC2x9Rhzp1pcpTKkYPKS7lYmfT2ezCmArlSClDF+EDPfEvzi+5p84ss1rKeKdHwqTTZi76Lue31KvgzujZI6ZUYvdPgo4EdYewzs2Xvra1LKOjwDdDkAzTp/HINLkT1Pg8/EEGPwpHNVWkPJT/+q4tKagKBMtwKLzpm8DHJrXOBoU01ujXNUrLF5AGmzupRSgiaTKlaCSMb0d/bcijHWLh3n5wRf8VQrNyH5wK4h118+4PLtEbONCN3ueUyoyvy5hfrnT1+4/HXbpofUq26rj4xpv+FnZMK/pJc2kibl/VtG2HskPW9GnJPy1tEqqxjMAF7KVMrUNXHPXa1JiOFTX6vzxYdqaa2JymXJKHsXuwaX5w2W3ZJ1ZbElLU7pb+NnJD9+doODN85EJfcq94JNUaVXrjSUqZuS6fFEuAllzj1x70kpMVal70mEdRWHgba89kUD3vSSHn/wWUkYC5e2zb68BItHbAWDrDMYB243Zrasyd3IZpsm5NKZ+g7kKVtnKjebcmUdB465UZkGzzp+SkTxDQhWCAfwuablxmu3s2dT8HmvGszP0ke9/z3/L29+4+1rE3VvzZP2e9utBWoViacz1iySEeUga6T4f6RBoeRhlwumRp6XEzvFHowjZbAjVqAtwD3G3OWOeJ2CW+uYRBo++dUq/7/fnuDkfJA2MRQJHVdzIggkVKQbZK/TMXBalpNOWeKpnMgqBvPnU24FSCnJt1URo0P6XTpZjiZuMqdu/F4OaMs16CXSKHc/Zdt55AHb2L/NgZOByFimmwlXXR5zdkFx9IzG5BFhhiwHeCtceWoRX4z/m/ErefwiT/8/owtWcY2PJXlG3ssv+CLxY0ZWNhcbCAGeFvgqYe+e/Qg99y+feurMA9dc/wq3R08cD50Xa+ORbfWULDzJkeDIsu7HjDO3O5i29N7YdnOiFFyWmLuQJqlMUYVrIktSJAO3LAWUmSXoeQknlyTv/3idI8cDaKhckuSJHSlzaZL3WVICTQagMnOX7zI7p+PZv/Xnu3hduCgbJXvciTRjCZ/CRZH5iR9N30sBxrhdhzNvXOTMntVrWDf1yjpvPBpartwX8YNv6fDQQZ9Ti7L4wSbT406GxFIwyICWjnCzxuYuii3pcivGHJVMg2f1Krl1OLoaFlKlrL2zg1eAz5YOmE0vnSQjXyxhFBHGIVEcAukmVPv3H8Dzqsw3Ii6dPky95oJNMXKAodida/2FOxL9jgSYJTCPOSbj+rsMbJEHl4bCTckKp0qyJHtPZOydsNIR/NofNLnrsUpRJZgDu5AmvmRsDHIRvStRZsH1J2Ij4I9b4H/Rmx2jt9G0dTn4TN0KYQuZIkrgL2U6pXATybItPjLbUAjlLiNhSHqGV94w5J98X5v/9DuS1X76PTIdkW6zaY0mTvWCzQLOzF0RlPR5OrTTpEAvjZUoXBUxsrLkoB6LbcoypXyxZ4+mxPACCGNLHEtmN2/nqiuvotPtFwDfvHkzkzNb7pTdT/zylOr/dDiM3PZ1SbZHjMy7vNcFRDCiw8sAp8zSKcAFYwmeESswA70ZAXtZlri/lfxuWWQrlYoZCMtvfbzB+z7WoJN4abZyVHe72X2FczJSVEVxoMezlyNMvSGYLULIsQPzFwN3efhm5qLYseM9Xi+ebX0iSyPfMuY2UiCMdMfTWoyxKZsrhDAkRkFsaXgRP/LWDpeWFb/+B036mfQwGZuXQC7daAjS1HkOYuN6IsHFDEqQB6E2Lb3N6v8y/V0GOuMgzyzvErjLxyqrkU+McPMJDfRC8CpV7nly6Zd/8Pv333n23EUgrYb85Xf9CnqiGz16tH/FhaXWt+2aW2GyoTDGgaHM1hstK3kDhBzT4flWhOtrTHLdrUr7oIsx3S1LgWXqnuSsrYqUvEz7K4VnOHjM5z9/YIIzC0GRis90t0p7LYWgIlMGl5nuLrR3ZhcWfZjloqixYqm8eGpshrkoDS6VkmITLbFeb2/QWCIyrV+qjyrHOaJUgTmSMClLwvw8pVIRMXLByhQ1Fd+waSrh3qc8Li3KNK0uMtairMmNKPp/ig2hRvQEduTCHqeA0mKVZU43sJhGirJKj2VwRwkMEljuKUR1wJteMeCmA70/uP/hz3ztta96m1uMsv/vdde/g9tu/WHOrt7MI8+6aau+F5dsuLJmLkCsxgCbNyDkYxbKNSVmJIgsF0iVg0pZvpfcE1nOUo6l4rWX8PQJj5/4pSkOHg2wnixkSc7gsmQL2nyQz/hODRtZgxvJlJHEjqD0qgj//0JyxY4+HfXFx+3CYgvukU1cS32b+cAgK3N/3JYmYxmj0vFvisRqTKi4/vKId//0GtfsG0KUgInBlu+RezSW2MLAwsBAaIVLtBhBbCHOmNU4Zs2aERJLcTfF3J3idTELpvy3vGPHlAHumhwiA4NIMjRw/WUdfvjv7ucHv+sH+cG3fU9+PHX25Kb9M3h+jcpgmmrcwNeG2IuIYkksVH74RzcMKluDZaYoB5zlDGZZhmTWoBl5X0lTeq/Q3XLEGkxyO9CB29Cxkt/8eJ3HDwUkKpMjpXS8dFNBlEhZewTUpdUlI65SsFncx8ZCjIB9dJV7DgLbUJ6MYLyUxcz7NEfez4LRDWrGrZvbbUwx0tpmmU2RhrBCplIy1ePGkmDQwnLjVUP+0Zu7/Mx/9+jEAjzIi0gMRfmoUSRCEKYSxgqBl9qHVliKTqDSLzNFkJklh6AkTdLjUU7+iFTejBxCF8WmKXrBIBaEETx9eIL7D+5k7xXb6fR76wE+OaHRXnBs9/bq8bVLlX2X1hZpVn2kCPJ9YsrJzHHHpCjAGg0uRzxvASKVIaMgtzlbjzgoGWNnwWYGbpGgRIwSCdpL6Bl4/yfqfPSLdYYZmGWZvZ0fJ1PXpAgsN9hnp8ze44xdWrFHkzkiB/d6ZH99Dt/YSXGvxnW4gXyU8WhtdAF4B27pdHe6I4NIa1SEla41zFr33FgELtOZJBZfWN72mh6HTmve//EG3Qh3wFIdnj8CoEiMA3ke/Mq0KtLYPKZBuPelzZI9rj2tcFfSuCcDepYwFZSSP6UBS8INDsq2UwmJmJ0cMFlv0BnUjhvrHRtGiuJbprdfftd/5Qffcf1xv6I2/fk9S7f/zp8P8KVHLagTRrpoNxJjOq/MzmUdXvK7R+pLxh0TNVrrncuSsnQp1ZpIUViDWsd0I/idP6/zn983waUVv9Sdk2Urs9cSLVwjg5/WfGfjIHT+fcv7/5RyANkFIIupuPnrkffLOru8eUBp04CyBh+TQiMtgUU1q2vIHfm3GxSxZRejLP09u+hKRDSqzUuklJYETDYTXnh1SLsnePq4dkmgET1evmbdf2lEKZleYoAiRhzT2ePe+JjWzv5Fzt7p52fWbHkWyouuGfDDb1zg+qs2MTF9+W88c+zoe29/yYvXMzjAQ89O0WxWPv3AU3PfvnApvuHBgwKNx+xkTDXI9q8pgVx+PcYuHTxZckzKj7LsfZv8vdweHLcFRan8VSXIiuXPPl3jne9tMr/igT/O3AWDZxlLT5SALMb22UkP6Mbed+Fzj5/vkVP6FxLdz83mI9WbJakC48xdGpJpXI+jY+tUmqT6XNjCExciZW1Bbh8KUqlirRu7HFq2TiX82x9qs9yW/OEdDaikS0fO5Ja82x7nwYep8eLqUWxuCToWL17nf0t7Lm3O3LaIc8rWYvqRMkW82xcVqr5gZkJx6+VNrtjsMzFdf7y+WX/aJNHIMVXlFx/74z9gy6Z9ZyYCe8vmyfim2UmPRlVSCbLtQdyAy4x1R6v/yBND6xhdmELryoK980C0HGSKAtijGjx7nXbnVAzHzmt+6f0TPHY4SLf4K5fAlmu9BZ50JRdZx062t/tG7WjjjQ4qczrKzDvyurzFC5S3eHkuBhfllSB3ZMZZXZR6EksMnTkosvQe47Kx5JRkABkvgsv+m+zfpFITY5mYMFQrlvue9FhZlSWkjDN5ftmXkldfL8Iu2Hwk7mAsx7JBaUNW2elpCHxBoyZB+PSHDYZJ844L5y7+xktf9SMj/40e/59cf80ehJBcungCX3apVZO8iYhg/QAAMQZJREFUa32kbSxn7NGKwSzZI0f+vj7AHNHiJZ2daW6xDtylMljfcPyC5t+/e5IvP1KByniNSdn7dp53NgZCj6XCy+UHYoPXsgSgDSsLyQb9iJHTt95xKRhp3CXJTnx5L5x1I91KSbaMvR2R2tz/ls9RlCVwe24KI9MkkUQYFw8JI7OQlUQoMO67JoOYV79wwC/8RIufe/cEJy76bgmEEpOXriDAIonz52kwmAoNgxvFnHvkiLSVrWRUZAM7U7hnK2p+iIyzORPjtunuDwyLKyG1WoMde3dhR6bFPgfA3/iGV6OUDh+4589YXniWZs1QDWICz23apJTJwS3TZWq0WKbsopSqBEeAbkZAXrYENwZ3xugxyjOcWtD8h/85wUfvrBGKdCcoyv2VBbjHA8tyI0N5dMVGWclxcOYALv2bkVIFvs6t/McxdsoAnzkJ64rFs+RP7qiM1omTgX4ks1k0QkiTaeUi+eMyoRngiyg2c1gwkoo2vP1beiQGfu43Jji9IJyzMgJyOwZyQWQFSVp4pbNUfn4QbV6QRSZpSmDOJIrrryyI0wg3gD/bgSFrgIjimF17prnx5leGcRwzflsH8Lm5GbTX+Km9e3dc7dkTr9SiTSUw+DpJp0sV95R3cpBTAnYGbpe5LIKbstYuXJMkBVwG7iS3BmWerXRp+NOLHj/z6xN87As1wmxfwQ2ZO81YUhqemYGa9Z534XOXOpJKyB33v0dAPU7bf4nbOK5HMpqsL0DKGN+mGBNlR6WU1RQlLZ7ZhwXIJVl6WpCNeVDp3iJucydPJXzP6/poBT/765OcXvBJ5zCPuitZ8IJyTqIRDFNdngvoEmKy3yZtVnloi/8FJTcl/a1CQCIsUeq5RwkMI8Mmv8b2Hbu/snPH9p9aWW1/Y4B7fpNTRz7TbtT9I5tnkpd7oqeENDkB2TQw2Og2GmymzM1zBZcmB3X+WKoxKSRL+lobLqwo/u1vTPCxO2uE2b6CeQFVJk4zWzBlbznapbMRe2dgLmcR89/D+vtGAWZxdIpdL/5X0D0eYI774sWbbuxwUXviZEpWnyHGwZ6zerqJq8mYPOs4cj65++9cSt+VfLmalRiLxvC2b+kTJ4Kf/vVJLq6UDkTZOsx8TDQI990iQOQeejEhS1G8BmczrvO91+UJRMlpcRInqPmJ59eO/MFHPt/+/9r77jhLivvOb1V1emne5Nnd2d3ZMJsRLEtashBJMhJCEmBbwufTnSXrkBVtJGGf7pB8ttLZSJaMsU4ogC0JCyQMCgYMIhkwCJGXzWxgdzZMnnm5u8p/VFV3Vb83G4BlQb76fN681N2vp/vbv/7W95euuPyCgwNcjygcv1Kw6KR6OLG6rxhCCBf1houIs6S9nbB7BSQRhM1ANy23/ZkGu0FFiAF0pZiEDsG37sjjlruyqDMau93t7JzWmrfpsUzzbptXixjErcpDmPp3K34dezIJOVx8N8dcWE4dYaknyXfau6ckOVNZMWLH05Y84eLKQmplRWnkkdowkaVtQSLAQYTLLihj4zYHX/pOQXJtPfG0QK64lnKscRDUoTyvlMAxQA0QaO+KrsuSduzE7El5NmucoBoCQB39nSEK3e6zIxNTV3YVCy2PbUuADyx9K6777vVRGC4RP79vL957/jguObWKqVIBjVBYIOecJLtkOHos3m14JglNWWxNS0hk0BY92YxAGQccgrsfzuDmu7Oo6YpCxHTiGJYcspGWnljaHkupFCRAT/Tipqwd87P4dNhc2wS0XiDNUA4GdJFa0KIpgCENmlTFKKAjzFIT2tmjLkohkwe4IR2a7cIT0FO5jtqyZB1MvWcy+Z4L+Jzjt88v41frHdz1SEZFErYAeQx0aas1yCMOeJTANa9mkiRYmw6fNLhDTlDnwHRE0KiV8O7ThvFf3xahd94xAmRPdPKJ7zl0gAPAmuPfjlK5evOtd40u/cXDL+YuXLMLgFRR9LUnS/dCzf4T8m+FyRrgprH1PjC4KQ1BSQjmRiAOwU8fyuBTXy/ihRd9lTBsAtuxAW5Qk8RqixbeyuZ0tCYPJpLXMXVJ8RbLdZ8C9UHBnXJjNtMTkmjgMCeWKU1cZ9E0WfBEVbEBDSBWT2RnYQIi3fiK6xAiwDlTsqEyXhFwzKIG/vrjk7iKAT9/KKP5htzrNMjjIQs1RwDqBl2JvzXe6tf6AuccCIUEd10pSTk3xEUn5LBqYHZp/rHn3kydzIzHmM30xbeu/2tcdsmFv16zrPjf89hTnNVJ4Xsyc0ZypcQiGBdjKu6Et+bcM4LbSF5wOKhLcPuDGVz9t21Yty2Q4Ka6CmyKmlAJekql5fapiFPRdPMoh9jeSluDbi6VRqgR0RcvTwx6oz2M5nPSv11r4Gb7c2Ksb0YP2tQp3Uc0ySBKKJOI17fuPNqTCVsNMs+POWlOLlRDwdbaeBx3ROLYEHCB3q4Ixy0NsXMvw8YXWeoKJy2u7OSS18BNl9Yw+9ibX3AhgV3mBDUuPdFzCgwByaKn//Q9e/eUf29gwSkNzDBmtOAAcNIJK1CvTqLbfwyBF6GYL8NhIco1D6UKM3i43idbIrQ4uMm5DwBuybk54AC3P5TBn/5tG57faoJ7podNTRiaIwQTp4loSUlacWvrFKUAYprq5nM6Q2eH9BBomrSn3dYmPYmL5SOZ8JspXLGiQmzenqgrFERl3mturj/XlhuCKisPEMJUe0CWlFmuRzhmYQN/+eFJCAH87KGsMpc6sAqGqpL+36QlD1UhexpTIsUBUndEAmXBGxF4vYEqZZh2KHaOZJFvX4zOjrYDHt4DAjzfNqdWo2MfWrww/6Mdu8Zy1/3cQ8YjeN9bQrRngUrE1ATHCLYiQu60BriiJYQcDNw6YVhy7p8/HODqr7dhnaYlLdzv5nuiuLadHZ/KkIdNQ9KUxJpApsBuGhai/lqqIEk+M5c5BHzHIDbfx8BO2F+ih8OkHyZHJ4YDiRigT7g4IQbYtWyosoAIhVJRFOCoDN5SPBQQLKmhUgPetKCBL31kElwAv3g4ow5qiJhgzEBZtEOIcMSF72USkfxHk1RBGVgl6gJzO6fx/vP2wvcIvn9vEUH34lI1JB9aNL+v9rIBXirv4R0dA49v2fNbkx/++q7c0IgDh3IUvBIuPpWgHjpxvLbm5rHHwrLcKZ07BrftfqcsAmcU//JogKu+1oYXtvlJfEmTxdYURR4NQtKRgjaozfqCFu9GMtlMRwzG9U7iC8BuyKWhTJAs22TN0wQ9Of3Nn5khsqJ5+fRkssnKx1xcS4gijvewrThAdI1DxcUpRTLhFEJydJI4gDT8ImLsex1YtaCBr3x0EkIQ3P1IgAi246elpqxkywakqshAEAlhZVMxlQhOCYdDCS5aC1xxbhaECJy3po6exadNZgoLHh+eHG12XxrjgGVPhDMHrtc1PLSPXvrWtac0FrVxrOn3UCt3Y+vuDkxXPDRCpagYLj1b9+YzgFu7/yW4CeXgjOLeX/n45LVteGG7dwBw22GwGtwOaeHUiRWdVrLeDJNLC+TNnxnn6fA174OMJuAb6G5ycAIw5dpkXmReCEQpEUbxzriYflJTxSoJx6l6rbpHCKYeFEKwuMsy5wxRjWLlQAPXfmICbz6pCsZ1X5EIMkEiUq/Nh6wbKCATJEJ9gRrHlVHAZQL5ABjsEcjRdjy/ZS627+pCR/f5jfYsv7Svqzg8p6/7gMfzgACf1elhw+ZtOGX1wK5z1i7bumygDfN6KXKBh3KFod5giDhVc/FW3JsbtU4SeiLBLfk2pREI4xAOwd2P+fjIV4rYuE2lmx2QliTgdtC67Jrl1IFtvU26ooFsA7257Foa+DBfxws3E/KDqiktkJ0EHpEWfFvXzDbjU7QmDgvonNveTav/ZrxMkqwsoLOBjMwgTmXihOoNpEGuu7vxOsXSeQ18408mcO7JVbBItcqOQR42A1zdgeIsIKhsHeOYMQp4jkA2IJguU2x5ycVEpRde7titfm7prvGRHSAk+/IBDgAOY3jwwUe3CxF94IxTVqKrSFDMy9IScQAVJMfW4bGmxY6fm5w4qsyDyyEc4J7HfXz8r9qxcacP0dJyU6SdOVBAdhS4HQXcplbbM1lpPW8wwGta5FYTzrTVtsErrOXk9zPDWzS9UG/jmItmjp4Qcp1ln56MJlY7seq2tbfKMQuquiUoS6+st4gbXZmNr5gFcmnFbZB/9ZMTOOfkKqjOKRMK6DNY8gTkMiAr7uys/x8uM+YnSyGG9jfgF5ajWuMfWPfcY9sJmVEETPB7sAUGF81HpVJGEGSGnn0meNDjW8/M+RMo5EIEXhg3eGJmxSmagJsSFd9NImtCKaMCI+wYZXjk6QDXfLMNG3eoXMoDgls7eqDqeavaJsYjseAtaiNa1lo0U5LURRAPYnLs5sx6zcOT+IkWKswBRszL1aQyUU0Ql15ojgdXy2qrTGBxeLOGIYlBY+vjEkREdXpQ8xmVlQ8uPcIyZEWo6EEWTx4plKGGamfSAJbNb+BvPjmB//1Njn9/KsCOEQJ4hrpiRSHKgxwJgrpA3PmNEgEWyXNZDQlYBRC8gUymDcXuwQeXrjplqFKpIpvN4GDjoBYcADKZLF568fHN3R25vzlxzQBmd4+hvVBBNlNH4MnkZMeRXkc79czwXlJb52Z+hI1DLj5/XREf/Uo7Nmw/FHDTWPjVkmDsjoc9ibSazGpAowXnBlry86YkY8ON38RP0uglqecDWfG0swe2QW81GdXrWS2/gRSwSephWvGkcKfNw2ls4bX1Tu4CmpKQJkvODUsu6hTL5jXw9avG8dkPT2BJfw2ozcTJw8SKc6CuNO9aRFCNCMoNgukawWgJeHFfiL65y+F52b+59/7HNh8KuIFDsOB69Pb1g7ntjxcy+24rBpsuKU1sBWMUjgJwXN+E2NZbx3JbsSUBx+bdLj5/fRtu/dcsqhE7gBSYttwk5t0O7LxKBmErJmhhqWPL3CLdK8aiMWGOL4JmYp1gmxzcRL+MkbjjScryxgzGDtIyFRSoUsUi2YZW7ogxEeXWikRZbxnrSqBDMRQdpJLTy26szZZcDxoCfe0RrnhbGb4r8Lnritiyy5OZQWr1mF/yCKAEHDI7ngNoEIKaIHCIgB8BIgqxetUglixfetvypYsf3zsyecjH8JAB7uf6Ieobtue7135sevQJFgQ73+E5k2A0cQVD6L7kZpZOEhHIaAjH49iy28U117fh1nuyqIJJ9xQ5DHATwIPqpWPKf3H1sebMlrT1phZ4zeekRonGbis1Jc3DbVpziGhPRRbFvkRNPzQ1sb5vfoY5ASVKn+BEFe1EHFSlEypiyqIvGiQuf05JEqkIzU+4QvdBQB5LioCoAb4joxAhgGuuL2LrkKfiySVWkrYP8txySJd8A1AXmLxr9haymN3bccc73nrKxzZs2b3jxBXzDhngh0RR4sPoLUN57OEdxd61zxU7isgGw8hmJ5DLlOAoF37y4JblZrQBJ+DYppMV7s6iCt0nRyUIU+fg4AaMFttmL8sURYkBZ+iraXAaQE4nOyC1TpqWpLdjHafDtOaJYtKsf+sX1vc6RCIdhJUOzEqtz+MsA6OWSlNmvk1bJCUxn+mMdEXWWnEQRQ44dxA2GAIBXH5eBdd8aAIDvTWgFhrKiqmuiPh/5pxD1Esg9VGEpf1YOreIt5+35rnb73zssMANHIYF1yObnw24i75050NPLfqnu6q/vW9kCh971zhOWSa1UUo5KCIjqCoCYw2E4HjsGR9/9+M8fvSvWdSJasAZKyIGuEEPCG4GNRGBjh0RTWpJq3BYE/Rpy22B2niOQZ1g+wAqyssEuemtJCY4iRVcKszvDa4NVaAv1nAM17206iYl0RvTpRdkrZv4e2ivJwUoB41VGFW6D60tudARi0SVdVbLhA0C1wlx+bllgAtcd2seT24IUNNdpQSVHlJ1CFx11znn+Al8+B2T8IJ2OPnizZ0L13ypXtp2uHDFwXWW1Pjcn1+H4vyVtfb23p//9IHa2dOjbD4Ps1g+4IASkpQyVn0pXbeBKjhu/FkOf/iFdjyxIUCD6r7wzVk4ZmuRJs5NtDve4N3UTGYQcck1871ZjsGkMrHltxKAjUTfdIIxQZx8bCcEJ2UjkgArva0kwCru32MoOUhdlFa4LrUvNqoy0UmrdQDrLtSkDKVomkSUMGiVeh9fyCJ1sZuxNSR1ERumIH5JoafmQshztnJRiHe/uYrRSYr1mxw0NEVRRVE9SlF0BXqzApefKXDswg4snt/10JLlKy8rkoenlwyee+QBDgB33v5jfOSPPt244NSlVwThzoVL+znyGQLfC+E5svi879YRBDVURITv3ZHDn/19O0anPfC4ME8a4Cmwpzi3fmhw66x4C8yG1TZrCsagP1AmO03AbUbuxWDW4CYGqBX44wg/agIZdjSh8VkaiHQGENpqDmlaNmmFjcQx1QLk9nsCGLRNYzMugmkAOkasAeTWIE/4ntaaDM0JgFRnKIB8wHHGcTWMTAMvbHDQCHV4pwOPMbR7Ar05gVolA+r2Y/nqyzfX61039M696OVA9fApih6rjxmEEPyxQKw+dfil+zI6N5NSDtcJ4bl1bNkH3P5gHl/4ThHj07o/TtorqSgKbAeOjvvQE0oJ6gTc1DhJLWsKQrQ+2cYJT8t5rSalgL1+swQ40+tD5ygmBzc/i7/T7w2ObU5Am2hKzGGIoaxobq4mlnoVVWVKln1LVuUQCT1RlbEA+ZrSpD+y4EqSpQIikmHBghAZNKfS5YTgMvlZUHAeoT0X4c8/MInAEbjjQYHN+ylAXHDHkf8XF5iuUHT0valSaF/8GKWHNVV8dQCez+cRhaU/O3b1aeKZ+uZPoPZU4LkNBF4d2UwVj60n+Ny3OnD/s1nUQrOMMZ0B1My4pypAw6QmylOpJ44a0FCqCRIANxXOjIEtmkEMG8zNbvaZXfZpR8/hQxsJ/zY4uP48HU1oVm0109fSvJwTKCkwJSmmLgquNkpj4KdCBPTFAcSqDKCK7VOuesZSgAoQzuXxUBWJhVCJxIqX6y7EnDBwEaE9E+Ev/nAKF5xWwzU3RPj3dQx16qLkOpiqcqxdOL/65jef8VVQ9j8LhdzLBvjLvzQAMCfHN6x75JpsvvfLPT3d9a62KRRyJTy2Hvj09Z246/EO1KIc4GYA5sFqIWIqJ5TFaKTUdOCgKZ/SzM4hxHboSBqRAjLQ+nadfg3SvE4KvfbEMwXmFt8drjbeKsoQsJO8Y0kvXt6QCI0Zatz2Q4NZFwM04lKSC6XZ0WPGr8gYFmrl4mo1JVFUdBBW8j6K1IM7iLiDMHIQRi7C0Ee1HoASH+efGOHLHxrD2pVjEJVpjE2E6Jkzpz5vbt+Xf/nLf7umWMjxgx23A42XbcH1mNe7rx5ker84OtJef+ZF8vn7n2L01gc78dTWNiDrycx3fZ8ElOU2zKvBI3WSAotfJ+GurXrGt1ROUtQkLv+gw3jRGuQxnNLfoZWFN9CcMt3aEOskWr1NS+9O6d9NQDetdSvXPWm1rDzGiYU2Eh6QWHKhNXGiqE3KcgtCEo+qSGJeJGWRTa40Y9BJCkTokHEZYiviyauK5xYcspqtviTl9usNH6we4aTlDXz9YxO4+b4Knt4ym88dWPn5WmbeXz+9a3/9leLzMG1M6/Hdf/oHFAuZVb9+dvvT137nUVYSXfAyLiiV1iAUQGSRTBKDQQdLacmPQR4YhoRemPp2bMlhAD6tgacf1FjfKIVmrUtJ6r2pjthKSvy5mmAyNRG1inGSJHUtLsZJ7HX0RJYZz7HsaU2AhaH4mH1FYZTQ03Kpfs2NMnS6XAesknuEJH2YzAJNSR6tXfKDUKEMiFnrRk9OVa2c+K6aesTfy6tLW3qAgFGOfLaCejiJEXJR1GDLjiMoPb9iyftfMTZfsQUHgDpZiZB1bert77vy3Re3/92d9z9FA6VNN7jAdEgwFcki6Pqq0pNFCW6jNknKaiaZHUaLERg0xFi+qQyEOeFEijOTGR6ARU/SljzZgGkhzEL41heHNHQFp/g9Emud5t+mxzIdiKWSHeMVk6QIopqx2tY6qR5lJE8oy27kO8efg+s4KSIzfyiHriFL1B1E3QBiZ591gRDtSaVoNBzUQhdRyAAIlCoBeueexwe7V10Jf9EmYN+rAc1XxsH1+OBla9DZ0aj/0XtPv2FRr//Hpy3rQHfQQG+Oo8OXyb9EHSkCpYxQ2b7PpwIeTdqJxBKgBrQhBcagt6y4EW+Swt+BgKwXJPEaxsrmdykqYurYrVY9HB7epJxokOn38XPCs+MNmsvGobWp+HB7I0auZ6sgLWUGNP/WfDvepikBqrBWM7SWJwFZkX5EuouECswyqB3nDNPlDMamchge9zFWXox9Y71/DP+3bqhNhXVCzn41oPnqWHAAOPekQezYORR97P0XbbnngVlTP/zxXQVen8ZwWWBXqY4olBNKQgg8KrPetQVPDltr0FiRfbAtsrbmdAYgx6BLWWHrdXr7LUBLUvuF1LaaTbx+9XJYoLbCtnW3wKstOIyHGXSl3yv1QlpwkoTUakstEotrpcCp9YievBrcWc+bZCtD4yhYp1DRFRXvAsoVJeLwvDoiHmF0ooC9IwH6ujswb+55U739J26ZmtgXtbW/6dWC5asHcAAo5DPYO1K648zTT/iw64ivrn/2wc7A242zSvvwzZ/nsa/UAUYdeESoUsa6KGPqZJkHqgl8M+vbGhr2Q9jgTlnxtL6dMAxiWfr0ts15RNPFk1rvgMMI5rM064RpND+rjevJYzONIXFtP2FOPJFMMJOJpkFxFJWR2xCxe54au2ruNCFofRdS1l7TE6Y2yhiBwyJMVyv4+58G2DNEsKi/HcedePbo/IVrPh7WJ+6AW3w1IfnqAryjox0AMDU1ddN5bznDWb6Af8mv3tZTrk7jzsccDE+LuMtCwAQcpsrpIgkG0mlLqSnpzHSjlUPHBLFplYmNOWIgO83RrfWSxWwlptVBSF0MBxvCWM3CbwsACtLCimuuTUjMseMLxnqtLgiDYxO1XuITEtpfFPN2iKSbsDD31kr3N2iPke8JyMkup/KKkvq5wM5h4MZ/zaEj14cLLzh9/+CK0z49VW7cVCweXiDVoYxXhYOnR6FQQNarfGfp8rVX980d2P+j+x08tyUH4jBkmECGCQSOQMaRdet9R7akYNTOuonxYlATq8wubAtuW1h7faAVuNH0BWm1nukGTy9v3gqsyeYMv6WGpW234Mstn9OfidR21A+bkYdJ0JZeyODppm7ObetrcfNYCyew4nfNo6ZAHXGKMKKohwy1hoNa3UW94aDRcBCGDLW6i1ULBd77llGsWbNw/1vefPrV49P17xRnqC34SscRATgAEKcD1fHv3VAJg089tOnY0ZBkkGEUOSYQuAIZVyDrcWQ9jowj4ClrTmKLYB2+pue0VTepR/IwetWY2zOtbIrqwNym8Tsmss3fjpdvsf2DjTTI9f9tOXNi6mYC1+ymkIAQ1vL6S3tSal5IpoNIW+Dkc7tqWbw5JPuT/lTfhRuhg1rdQaXqolJzUa27qDUcNCIHjdBDVA9w5bv6Rgdnk099/cZbbpjVfeDiPa9kvJwZ0GGN933mRsqj8HfG9u27ft3mHQUiHHRlOfK+gOdIXbgRCpRrMj2pGhGZq6pOQrqmCUu9P1CIbOzl1DqzuVyqFJsZZBVr1vFydpNX0vTe1L610tIcjGW+py32hZj7pTRsvYzVWsXSyXUEpYDZAEwux41ljAJIsfbNjeOUbDvdvCDuhGfp5IhlQH2RcU5RazgoV3yUqzKQihLA8yLkM3W05Suo1hsodiycmjOn80OuR39I2q96RZ7Kg41XlYO3GsfM8bgQxZu9hSRcvqDxve//bFeQ63BQzBIEPgGjBLU6R60hE0wrUeJGlmGdrTLVmy24qaJYmiSSdeJtGKqE+X2a7ug/TZNNkrbgNgey1z/wSMVFNXFtS0GBac2bJ5ixzqFnk5Yao2LLiVat7e/1pFW3oSd6nXTN7vhYJcDXEi3nHAIEUyWCsWkf1RoFowLZIAIhQHthHENTS6p1b/Ef5Mtdt07sLR9RcAMvM1z2cMY9v7gFf/rpC8T7LgvWP7feX+dT72JRG3e6ig7aCw46Cg66ii6Gqw3sLkUYrTJEhkKhgdRcsNLQx00LiGbQp2sTJt/rMFjjOyPW27K4lqeTxMuZRTiteG+aDo+dOVy2KWpRvafqhb6gKEmFxAJGTPoME3E0O7/MbSakK4GvRdXU13bcj9kSUnpDHRbC9xpoRDW8tN/F+hcLmCpT1OuSkwMcHV0LqtSfdcWNv5z1k0plLDrn3N8/0vA78gAHgBu/989wiu8RG6ZXrV8zr7qhu8O7yEHZ7elw0dvBMDgvwmXn7Ed7fhj3PRGgzpwYPDpHMulVmeohT5uB3XRSqQ345GH3gk8uBmJdBEkgF7HATwygx8tSYlw8rUBtlJ9Izx9gf97E81s80gkP+pi16riW/q34bpbeN9PA6LtovIzd55RRAcYiuE6IQm4aX/sJxXW3d4NXgTDkqNaBekjQ1TNQzhfn/v5Jp2duPaanws8+5/2vBfSO3CQzPT77yffirP7N4uxVtR+tWjbvD1YfM29iXh/HnJ4a5nRXMaergY5sHSSqQwgR9zznhlcuseg2t27KuSTigPti0RBru/bJNVcwa6HIxVpbZrk4afq9ppFSQNRHifvd8DI2LW/NIu3XrSeBB+dKtkcTSfkIs5uHoRI2VTGjHNRpYLxMsWfUwdBYhKH9dQztr8PxeyeoN+sPPveNHT966L5ADKw88pZbj9cM4ADw337/d/HSeBtOPz7zgzXHLfzo8ccfP9LTlUVbtoRMUMFEhUIwD5TIxhYNyExtbpxAe4KYmljCAPch8N94zLAsSV8Fxudprq4vDmudGX6iST1JgdqKBQdJAT6pWgUDkHo5c4gZ36B5QUO1kcCGUdVKAT3+XySoWdyHSbrteeSimAlRazSwf5LDC9pw/AknjfTOXvzR3WP+D9578QKcec578FqOIz7JTI9L3v07AIDS9MSNhDrO3h3dX6yN3dJzz5MN/OD+PmSyARgFpmsEFSIgXFl91NOuX0NVYMS0qOKQ94E0vUhe24FWxAKyZaXN2zsSCoLUsul6KnriaE7cLGdP7DpPQE6MBWMPpzEZ1dtI+HTKpJPEsh/wuheJSCtAYm8noLqycaGSGJRCwyL4bgQCinI1QMQZLj2rhKdf3I/h8UG88+3n7L/4rad9pt4Ib+zsbD/CyGo9XnOA65HLFyH49LcXLDuDPP/sxBe++pN7e3bvJljQyZHLRCB+BVv2UOyfzsAPZEF2nWTsUMT95dOWsSXMU2fWojsz7J+lgsRATsAL9ZzQFgPQBtjN9VvtlvkiiQNJHIVxTRMYVp7YLCUdeWhdOeSAu2D8s8kqghPjK5U5BBnTzVQxREoEsn4dU5U6Nu/Kw2cFZDyBniLBFz/oYOPk6fvPO+Osq6uR+HZ3Z/5Vx8+hjqMGcAAgNI/nt07cEAXnhe+7pOva++59oKNRHsPgPIHz1k7hoecr+Mbts9CIcoCHGNgOU7WjKWJVjBumLOauJDnnpmVEsugMO2a8JAmQTZTYmfJIWXzjAiAzAMu4GE0pEOa+mrSEmD0zCSyPDgEOev+y7i7NqXsALB7ODc5NuYjvJJzJYp2eE6Ee1vDdf/Hw4NNFnHtcAcvmEUR0DlYcc8rYcb0nXUXI9PcI6T7Ynh3RcVQBDgCrFhURheFNA70njUZTQ4uLOXy5NPIrd3BWgEhM4Yf31rBnPCd77DABz5EOIofqLBJVNoxLvh4DIOURFQe4N7ey5k2T0BispqMmaeOdVkkscBvPepgATjdC0LjVgU5Jo1dhUZPEitv/78HAHs9V4vowRhiVdrlH0u0ulLXmyqozSsEdAsYERqc5/u35AjZty2FuG8dxx57S8PL0U07hzVvCMPMzzzvq8Dr6AAcA5jh846bNd7zz4nd4pbFN5eokrvP8ewmhglLG4DMZnOU7Ar4L+A6BwyTIuJDldXlsyUk8OaMQCXhM/nqQCagJRtPiJ3KbDWidntYEcrVS+ucsHm7cgXQqmIBKLEhREzQ9y3+oVchKExc398WSGEVcMkKH13IBGU/SoIi46lrnSCcOpQKO4yAMXTRCBzwUyGQCftzxx4muviV/dNwJK767fefe+sKFg0cbVgBeJwAHgKVLBjG6d129Y073TaX8gvucaOFl6x/L/J/JSg1tvkDWEwhcIOMR+C7gOVLDDiNACIFaAwgjIsv5Km+cLF8g4gkb0DpOyHzTCvuJhpyy3kgDOql/YgGbNG/ZlNz0RWeUAEzATbSyoSmQmNlCH8R0Jxec6YrXTQrUbkQJuEtVB2FIwKiA5xLVf1OAMYGpsg8Ghref3Ymntw/8r4ULFv6o2N6984lndtZPWrPyaMMpHq8bgANAZ99KAKhseO66jUtX8S/unTrZO2v1yJ/t3LaDuWggcCkyHpAJKAKPwnUoOBeoRyHKkwJV1UzOjN+QZRGENXFrGvFnIqUf24uYDpMkvsSIT9GOH71OyzBCQFiUQE/k1B2JQ+ZlG33gCU2seLr+oN6m9W/E/0sz5pPw4sRhw5gCOgHgRCAQGJ3wMDLOZPNWRyDwVQgFESCI4Dh59PQORpee3/kXnzhz1RePXbkpetfbzzjaEGoar4kn83DHN677GcqZj4qvfOZ377vzn//RD1ycPD097oiojsAD2vIO2nIuOtoc9PdSRKjgyZ0ck1V1vYpkqmcGOhFDPzdd7UACWpqy0nHwVcsHwIwE48SNTyxvqB3/YswNmhBIml628j5a1bes4KzmKgNmRSyqVChKVb9QJsAYh6Menhchl6nBdafx5EaKjdt9RBEQquRgSgRcl8ILOjF7/qm1uUsu/UrnrHM+O735HHH2me8/2rBpOQ7HHfKaj5HRSTg0AhfkC8+/sPXUf7z5pzTnN04Fn3a6ih7aCwL9vXX0dQ/hT75F8eiGbnQFFFlHwFVKi8cEPAa4joDDkskpM+sNms4jSoxmsZLrMyqDwhhTD+N97J7XZdvUUU1r3InlFTZdMr2DMC5IA7iMqUa26rXDpNXVE2+mYuml29yMGBQpUAs4joDDIngOh+tEcJwIDuNwWQTXDVHIlfGrTXVcff1c9BeymN1FUMgy5LMEiwfaw/4+9siq49/GO7oXPRJGuDrjE7j+kQt3faXjdUVR0qOrMz5wV99+x89w0YWnFOrV8jenJl66HI0h6rMSuosVDPaXUMwFiIRAJGS7aC4IBJN1ORyWaA3p+I14tPQiIrn9E7PGoI45Max5fFdIfqfJ3Q77M91nHoYzR/6G+lxr6jyZUFNje4lH1cxRTe4QOuPd1NJ1kKXk0hLkrhPGsSWUcEyUgA1DDC4Al9ZBaA7z5s/lc+YvuKWtmP/glhf3TJ01cPzRhschjdc1wM1x8Tsuwq6Xdkw5bvCR6Yndm4d2PnEMotFL8s5jeHR9AzuGu9HhUzgAhksUvge0eQIO5RYg4jjulDMmSRiI3XcpxUUkt3uqLT1J7gRm0BYQqxIQkk5z6zfk73AuLCsu6YhOP1MyiprMcrVtwREXttf7J2mLjgtROrfarp5TyN6YAKcq/FUB3HNDBH4dvitQqngoVbKY213GCUvHsG1nO9YeO4i5s9pvO+2ME55btKD/a+VydWrhggVHGw6HPN4wAAeA/rnzAWB4dP9Ln+3svnRA1J7F0JB3yd/etA67dwMLOyL0dHL4bdO484kA45UsAjXLiN37ioLEzpVU0JO0dgLUiM0wlRIag1o+GLP5rwa4Bi6PRW2da6qKUXIBHlefSnZA1vJT2nQs3ic8mlNYCoym92YSSMz5499P4lkooeBMhmHLgjtVMDaNO3+VQzHIoysP9HZE+Ox/YXh484k4dtmxt1145pKPD4+Wtvf1zjraEDjs8YYCuB6dPXMhxN7twIqrdow5N13+jhM+dvzghrNGhjZj0ewJnHFCFYtnTeHbd/WhEfmya64DeKqhBKXSvHKhnEMikeYA5bHjMhQgjvAwJ6AK5A5T/JipuBiaAM4EuJYuJW2RljviIga56dWkELISKzXyKNVvx+A2HFlEhSywWA0R8cXLQcDjBBKi/h8BShkiLrl3xCv41p0BfvzLLqwd9HHG6nZ0zT4Jp5+24IE5g4Wvebljntk1Wt++fOH8o33aX9Z4QwIcAAjpA4DNQojNx63Acz8NGrP7zl/197XJDYMZPMyuOHcnntsxiWfX90qZywUCnyYOIk7QiARCLjt8QQhEQFzigBIRO42ECfJ4ggk4DtQkVJdfS8CVAJyAqFZ7EugK4CFXF1dSj4RANkQlRN5BmFC3Ha2AcGLJg0mrdAlyh0mgQ/ejD9X/GVJVCRYIQ7kBz6XwXOCRdRQ3/qIdBSePZctWRytWL9/s5up/mO0+c2hlFzY6lBzyOXk9jjcswPVQWvPGqanxjZxHF44P+/3Fwptu2fvSbW2dheFclkXIekA+Q5HxqXTvQ1poXuUII4F6Q4JM9muXUNOURpdR0BNMzbtdJisBSJAnXSPMISmOAI/khC8M5fYbIUcj5HIf0m5IQ9WR5YqlIE4JQUSTJql6WUoksKVKxNW+6CZWDOUqQblGVcdjuXwYAQ5zUK4wMNaNs05YVXrfOy+cDNzw0v55A7uYQ7cz8sYGth5veIDrUSi0I4zE9nxb506KiVU79l+89or3kP+3etnGcNf2TZ2iMVnIBsBUOQQA+B4DSIhdoxHCUAGaCbgMkLdxAsZVVSbNww3r7TqA52r5UUp2sdZt9qMGIBxJYxohQRQKVGscjSiRCzWUuNBqj6QTnBn1RRjA4hJpcnm5z5Ayn8PhuRFcxsGY7FPqexRDwwwjkwSuI1cqVynaQwcdHd1Tfufa0XNXLnZWrmYfCNoWP7pgTm4CACe/IeAGfoMADgAOIwDAn3phzxjzFtxZbJtYes1f/aD21N3X/sn6dU/+3sTI1sYjz0wsL2YRzOupYqJWwZ3PAFnHh88kYDOuBIK85ZPY+xlPUhmB62iAC/iegOvISq4AEEWIQUi1Ps1E3GJl6y6OsclIafGJHi8EFCcHIOQdwXFIXJKYqjBhnqo4oLVtz40QeBECvwHP4WAshO9N4cf3d2Jysg3HLW/D7G5eXb8jt75/waB7wqkn3rTtV1f+3/mLrvWXdxeriMY4IUcvrPWIYeJo78CRGKtXzALkvb28bdsOMOZ82WHsyyKzhK09LXddT76xtOhvPmPH0PPM9QgCl4A5ZUxXPQjOQCC5refEbR8BNfFjNAF34HFkfA7fldQg4gTVOkWjIZUQlwn4XoSMH6G7WIOfreInjwYYHXHR0wYEnix65DgABEEYAfWGphDygoPgMWWJHBn8xFUjVULk7/puBN+LkA0aYKyE8ekQhWwOmQxFSWTQNWthdMyxix9aOkA3Di4tXbljD4tcN8DCk74p/Py88tE+X0dy/EYC3BwLFswHEtoalqYnP0hIpoOJVX8ZPVH3FvRPRmevzKzp7pk+4ft3TmHPrjomK0BPG4PnAFlfKBkuUU5cR1rujM+Ry4TIBREygbScQ8MZ7KkEYKpybuBxtOXq6O2cRlVMYKzSiT2TPnxXAtdliGXHkWlgzzjgOwI5TyDjC0j+LcAcATfiKk81cecwFiHj11DITIMSgkro4pmXBtDf2fbEivyeXy9buoS97Zx31ZcN9P7pVLk6Nn9p8Wifktd0/MYDPD1y+TYAGAPwPwBgaOv9YJSetWt08gLiVi7dP1pZtn24ik3rN8P36wDqaIQReCSribgOg+cCvssRKIB3FSvoLE5iwy5gw0sMjXqAtjxFLiN5cT5bQ0dHCfsrJaCSx/AkQTFHkXEjCF/OB9pyDrJtNYzzMra85KMvx9AjdEkGAScUysJHMrrP4eA+hed6KLZxzO5fglK9CzmR3TAQtd0yWWq/69e7+ANXfehMXIWPHu3DftTGfzqAp8fsRWcDwAOjI6MPDAzgwVK1sfiFHaP8K9/Yy9+0vGPh4IKezwwN7UIh76E0OYKwPg5GInhOBM8BckENXcUxPPliFV+7tQduw8GqAQ7fcyAEEPgRcpkKtg6VsXFnhKUDE5gUPibKbWgPCDoJge9RdHcwrFoscP7J4/jabQ6e3tSl4t4jhGEDUUjA4KCzvRsD8/oQeBHmzZ0DJvZ+Mci++GJx1nk0hzk04sGW3nm4s9DWfrQP7eti/OZMl1/lsW/vPvi+375r99BZzz6/DtmM22jLZz/hMH5+LojgOg3s3vEkOnNDGC6N4Qs3FzA0VMSizjrmdgsMzPawcE4Dg/MmsG3/CL70/QC9bSE+8K4pdLQRfP4f+rDvpQKWzALmzfKxcI6DFYsjLFswjR3D4/jCD7swMZLDqvkFnHXGGuQyDvIZB57L7o6i6rWew91Fg8vR2TXrgUajPt7RcXRTw16v4z+9BZ9p9Pb1AsA4gNsBYN/evQCwXiDqcxnnEA3sG9oMQoexazTApl1F5AkaF51/yjXglbd3FESjvydCZ+8UtpWrWLGsHWsG66BZgaUL67jkHIJ1m/KY20nR2+lg7izf7e0JfhqG91xz7CLXXdwPPD/loLOjgJNPfBMygQvPodRx2F4AL/b1vfHc5kdj/H8L/iqOu+95CCCkb2R4XzEfRKKvS6CvaxrPbg/x9MYiVg9WMVYOcNJgHb/eUsWGbVn0tVF0FRlm9wZk9qyeCQGxd3DZqUf7X/mNGf8BIGraepf8VmEAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTY6NTI6MjkrMDA6MDDcFSXjAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE2OjUyOjI5KzAwOjAwrUidXwAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', '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: 4437373
    {'hecke_orbit_code': 68753031313, 'n': 1, 'trace_an': 4}
  • id: 4437374
    {'hecke_orbit_code': 68753031313, 'n': 2, 'trace_an': 0}
  • id: 4437375
    {'hecke_orbit_code': 68753031313, 'n': 3, 'trace_an': 0}
  • id: 4437376
    {'hecke_orbit_code': 68753031313, 'n': 4, 'trace_an': -4}
  • id: 4437377
    {'hecke_orbit_code': 68753031313, 'n': 5, 'trace_an': -3}
  • id: 4437378
    {'hecke_orbit_code': 68753031313, 'n': 6, 'trace_an': -6}
  • id: 4437379
    {'hecke_orbit_code': 68753031313, 'n': 7, 'trace_an': 0}
  • id: 4437380
    {'hecke_orbit_code': 68753031313, 'n': 8, 'trace_an': 0}
  • id: 4437381
    {'hecke_orbit_code': 68753031313, 'n': 9, 'trace_an': -2}
  • id: 4437382
    {'hecke_orbit_code': 68753031313, 'n': 10, 'trace_an': 9}
  • id: 4437383
    {'hecke_orbit_code': 68753031313, 'n': 11, 'trace_an': 14}
  • id: 4437384
    {'hecke_orbit_code': 68753031313, 'n': 12, 'trace_an': 0}
  • id: 4437385
    {'hecke_orbit_code': 68753031313, 'n': 13, 'trace_an': 0}
  • id: 4437386
    {'hecke_orbit_code': 68753031313, 'n': 14, 'trace_an': -12}
  • id: 4437387
    {'hecke_orbit_code': 68753031313, 'n': 15, 'trace_an': -1}
  • id: 4437388
    {'hecke_orbit_code': 68753031313, 'n': 16, 'trace_an': -20}
  • id: 4437389
    {'hecke_orbit_code': 68753031313, 'n': 17, 'trace_an': 0}
  • id: 4437390
    {'hecke_orbit_code': 68753031313, 'n': 18, 'trace_an': 0}
  • id: 4437391
    {'hecke_orbit_code': 68753031313, 'n': 19, 'trace_an': -16}
  • id: 4437392
    {'hecke_orbit_code': 68753031313, 'n': 20, 'trace_an': 3}
  • id: 4437393
    {'hecke_orbit_code': 68753031313, 'n': 21, 'trace_an': 16}
  • id: 4437394
    {'hecke_orbit_code': 68753031313, 'n': 22, 'trace_an': 0}
  • id: 4437395
    {'hecke_orbit_code': 68753031313, 'n': 23, 'trace_an': 0}
  • id: 4437396
    {'hecke_orbit_code': 68753031313, 'n': 24, 'trace_an': -6}
  • id: 4437397
    {'hecke_orbit_code': 68753031313, 'n': 25, 'trace_an': 1}
  • id: 4437398
    {'hecke_orbit_code': 68753031313, 'n': 26, 'trace_an': 18}
  • id: 4437399
    {'hecke_orbit_code': 68753031313, 'n': 27, 'trace_an': 0}
  • id: 4437400
    {'hecke_orbit_code': 68753031313, 'n': 28, 'trace_an': 0}
  • id: 4437401
    {'hecke_orbit_code': 68753031313, 'n': 29, 'trace_an': 4}
  • id: 4437402
    {'hecke_orbit_code': 68753031313, 'n': 30, 'trace_an': 21}
  • id: 4437403
    {'hecke_orbit_code': 68753031313, 'n': 31, 'trace_an': -2}
  • id: 4437404
    {'hecke_orbit_code': 68753031313, 'n': 32, 'trace_an': 0}
  • id: 4437405
    {'hecke_orbit_code': 68753031313, 'n': 33, 'trace_an': 0}
  • id: 4437406
    {'hecke_orbit_code': 68753031313, 'n': 34, 'trace_an': -12}
  • id: 4437407
    {'hecke_orbit_code': 68753031313, 'n': 35, 'trace_an': 20}
  • id: 4437408
    {'hecke_orbit_code': 68753031313, 'n': 36, 'trace_an': 2}
  • id: 4437409
    {'hecke_orbit_code': 68753031313, 'n': 37, 'trace_an': 0}
  • id: 4437410
    {'hecke_orbit_code': 68753031313, 'n': 38, 'trace_an': 0}
  • id: 4437411
    {'hecke_orbit_code': 68753031313, 'n': 39, 'trace_an': -2}
  • id: 4437412
    {'hecke_orbit_code': 68753031313, 'n': 40, 'trace_an': 9}
  • id: 4437413
    {'hecke_orbit_code': 68753031313, 'n': 41, 'trace_an': 4}
  • id: 4437414
    {'hecke_orbit_code': 68753031313, 'n': 42, 'trace_an': 0}
  • id: 4437415
    {'hecke_orbit_code': 68753031313, 'n': 43, 'trace_an': 0}
  • id: 4437416
    {'hecke_orbit_code': 68753031313, 'n': 44, 'trace_an': -14}
  • id: 4437417
    {'hecke_orbit_code': 68753031313, 'n': 45, 'trace_an': 18}
  • id: 4437418
    {'hecke_orbit_code': 68753031313, 'n': 46, 'trace_an': 24}
  • id: 4437419
    {'hecke_orbit_code': 68753031313, 'n': 47, 'trace_an': 0}
  • id: 4437420
    {'hecke_orbit_code': 68753031313, 'n': 48, 'trace_an': 0}
  • id: 4437421
    {'hecke_orbit_code': 68753031313, 'n': 49, 'trace_an': -28}
  • id: 4437422
    {'hecke_orbit_code': 68753031313, 'n': 50, 'trace_an': 3}
  • id: 4437423
    {'hecke_orbit_code': 68753031313, 'n': 51, 'trace_an': -28}
  • id: 4437424
    {'hecke_orbit_code': 68753031313, 'n': 52, 'trace_an': 0}
  • id: 4437425
    {'hecke_orbit_code': 68753031313, 'n': 53, 'trace_an': 0}
  • id: 4437426
    {'hecke_orbit_code': 68753031313, 'n': 54, 'trace_an': 18}
  • id: 4437427
    {'hecke_orbit_code': 68753031313, 'n': 55, 'trace_an': -27}
  • id: 4437428
    {'hecke_orbit_code': 68753031313, 'n': 56, 'trace_an': -12}
  • id: 4437429
    {'hecke_orbit_code': 68753031313, 'n': 57, 'trace_an': 0}
  • id: 4437430
    {'hecke_orbit_code': 68753031313, 'n': 58, 'trace_an': 0}
  • id: 4437431
    {'hecke_orbit_code': 68753031313, 'n': 59, 'trace_an': 20}
  • id: 4437432
    {'hecke_orbit_code': 68753031313, 'n': 60, 'trace_an': 1}
  • id: 4437433
    {'hecke_orbit_code': 68753031313, 'n': 61, 'trace_an': 24}
  • id: 4437434
    {'hecke_orbit_code': 68753031313, 'n': 62, 'trace_an': 0}
  • id: 4437435
    {'hecke_orbit_code': 68753031313, 'n': 63, 'trace_an': 0}
  • id: 4437436
    {'hecke_orbit_code': 68753031313, 'n': 64, 'trace_an': -4}
  • id: 4437437
    {'hecke_orbit_code': 68753031313, 'n': 65, 'trace_an': -19}
  • id: 4437438
    {'hecke_orbit_code': 68753031313, 'n': 66, 'trace_an': -54}
  • id: 4437439
    {'hecke_orbit_code': 68753031313, 'n': 67, 'trace_an': 0}
  • id: 4437440
    {'hecke_orbit_code': 68753031313, 'n': 68, 'trace_an': 0}
  • id: 4437441
    {'hecke_orbit_code': 68753031313, 'n': 69, 'trace_an': 12}
  • id: 4437442
    {'hecke_orbit_code': 68753031313, 'n': 70, 'trace_an': -24}
  • id: 4437443
    {'hecke_orbit_code': 68753031313, 'n': 71, 'trace_an': 4}
  • id: 4437444
    {'hecke_orbit_code': 68753031313, 'n': 72, 'trace_an': 0}
  • id: 4437445
    {'hecke_orbit_code': 68753031313, 'n': 73, 'trace_an': 0}
  • id: 4437446
    {'hecke_orbit_code': 68753031313, 'n': 74, 'trace_an': 24}
  • id: 4437447
    {'hecke_orbit_code': 68753031313, 'n': 75, 'trace_an': -15}
  • id: 4437448
    {'hecke_orbit_code': 68753031313, 'n': 76, 'trace_an': 16}
  • id: 4437449
    {'hecke_orbit_code': 68753031313, 'n': 77, 'trace_an': 0}
  • id: 4437450
    {'hecke_orbit_code': 68753031313, 'n': 78, 'trace_an': 0}
  • id: 4437451
    {'hecke_orbit_code': 68753031313, 'n': 79, 'trace_an': -34}
  • id: 4437452
    {'hecke_orbit_code': 68753031313, 'n': 80, 'trace_an': 15}
  • id: 4437453
    {'hecke_orbit_code': 68753031313, 'n': 81, 'trace_an': -8}
  • id: 4437454
    {'hecke_orbit_code': 68753031313, 'n': 82, 'trace_an': 0}
  • id: 4437455
    {'hecke_orbit_code': 68753031313, 'n': 83, 'trace_an': 0}
  • id: 4437456
    {'hecke_orbit_code': 68753031313, 'n': 84, 'trace_an': -16}
  • id: 4437457
    {'hecke_orbit_code': 68753031313, 'n': 85, 'trace_an': -2}
  • id: 4437458
    {'hecke_orbit_code': 68753031313, 'n': 86, 'trace_an': -18}
  • id: 4437459
    {'hecke_orbit_code': 68753031313, 'n': 87, 'trace_an': 0}
  • id: 4437460
    {'hecke_orbit_code': 68753031313, 'n': 88, 'trace_an': 0}
  • id: 4437461
    {'hecke_orbit_code': 68753031313, 'n': 89, 'trace_an': -20}
  • id: 4437462
    {'hecke_orbit_code': 68753031313, 'n': 90, 'trace_an': 12}
  • id: 4437463
    {'hecke_orbit_code': 68753031313, 'n': 91, 'trace_an': 40}
  • id: 4437464
    {'hecke_orbit_code': 68753031313, 'n': 92, 'trace_an': 0}
  • id: 4437465
    {'hecke_orbit_code': 68753031313, 'n': 93, 'trace_an': 0}
  • id: 4437466
    {'hecke_orbit_code': 68753031313, 'n': 94, 'trace_an': 18}
  • id: 4437467
    {'hecke_orbit_code': 68753031313, 'n': 95, 'trace_an': 12}
  • id: 4437468
    {'hecke_orbit_code': 68753031313, 'n': 96, 'trace_an': 18}
  • id: 4437469
    {'hecke_orbit_code': 68753031313, 'n': 97, 'trace_an': 0}
  • id: 4437470
    {'hecke_orbit_code': 68753031313, 'n': 98, 'trace_an': 0}
  • id: 4437471
    {'hecke_orbit_code': 68753031313, 'n': 99, 'trace_an': -40}
  • id: 4437472
    {'hecke_orbit_code': 68753031313, 'n': 100, 'trace_an': -1}