Newform data - 3267.2.a.y

Formats: - HTML - YAML - JSON - 2026-07-02T23:07:11.492205

• 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': 13068, 'analytic_conductor': 26.087126340352302, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [11, 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': [3267, 1, [3026, 244], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 12544, 'field_disc_factorization': [[2, 8], [7, 2]], 'field_poly': [9, 0, -8, 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': 1, 'hecke_cutters': [[2, [9, 0, -8, 0, 1]], [5, [-6, 2, 1]], [7, [9, 0, -8, 0, 1]], [23, [9, 8, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090449603, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 3, 'hecke_ring_index_factorization': [[3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 11, 2, -1, 2, 0]], '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': True, 'label': '3267.2.a.y', 'level': 3267, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 11], 'level_radical': 33, 'minimal_twist': '3267.2.a.y', 'nf_label': '4.4.12544.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}+(2+\\beta _{2})q^{4}+(-1-\\beta _{2})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3267.2.a', 'trace_display': [0, 0, -4, 0], 'trace_hash': 130880370694030181, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.682', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '68.967', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1794.412', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.518', 'prec': 17}, 'traces': [4, 0, 0, 8, -4, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 12, 0, 0, 0, -36, 0, 0, -16, 0, 12, 12, 0, 0, 0, 0, -4, 0, 0, -28, 0, 0, -24, 20, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, -12, 0, 0, 0, -24, 0, 0, -28, 0, -16, 0, 0, 0, 0, 0, 24, 0, 0, -4, 0, 0, 44, 16, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, -8, 0, 0, 0, -68, 0, 0, -8, 0, -12, -60, 0, 0, 0, 0, 8, 0, 0, 80, 0, 0, 12, 84, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 44, 0, 0, 0, 28, 0, 0, 44, 0, 20, -48, 0, 0, 0, 0, -96, 0, 0, -20, 0, 0, -112, 16, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -76, 0, 0, 0, -28, 0, 0, -24, 0, 12, -60, 0, 0, 0, 0, 48, 0, 0, -52, 0, 0, 20, 140, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 20, 0, 0, 0, 52, 0, 0, 0, 0, 8, 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60, 0, 0, 196, 0, 0, -108, -232, 0, 0, 0, 0, 0, 0, 0, 0, 420, 0, 156, 0, 0, 0, 56, 0, 0, 108, 0, 48, 0, 0, 0, 0, 0, -224, 0, 0, 24, 0, 0, 60, 168, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, -8, 0, 0, 0, 120, 0, 0, -260, 0, -320, -228, 0, 0, 0, 0, 192, 0, 0, 168, 0, 0, 280, 196, 0, 0, 0, 0, 0, 0, 0, 0, -204, 0, 336, 0, 0, 0, 252, 0, 0, 408, 0, -144, 64, 0, 0, 0, 0, 108, 0, 0, -316, 0, 0, -68, -244, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, -72, 0, 0, 0, 60, 0, 0, -192, 0, -480, 184, 0, 0, 0, 0, -292, 0, 0, -28, 0, 0, 20, 48, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, -248, 0, 0, 0, 32, 0, 0, 0, 0, -168, -44, 0, 0, 0, 0, 144, 0, 0, -84, 0, 0, 192, -264, 0, 0, 0, 0, 0, 0, 0, 0, 92, 0, -16, 0, 0, 0, 84, 0, 0, 348, 0, -276, 28, 0, 0, 0, 0, 248, 0, 0, -80, 0, 0, 404, -72, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, -56, 0, 0, 0, 588, 0, 0, 92, 0, -68, -376, 0, 0, 0, 0, 292, 0, 0, 144, 0, 0, -252, -84, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 76, 0, 0, 0, -88, 0, 0, 548, 0, -116, 212, 0, 0, 0, 0, 168, 0, 0, -100, 0, 0, -28, 308, 0, 0, 0, 0, 0, 0, 0, 0, 420, 0, 200, 0, 0, 0, 552, 0, 0, -248, 0, 132, 12, 0, 0, 0, 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, 1, 0, 0], [0, 0, 0, 0], [2, 0, 1, 0], [-1, 0, -1, 0], [0, 0, 0, 0], [0, -1, 0, 0], [0, 2, 0, 1], [0, 0, 0, 0], [0, -3, 0, -1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 1, 0, 1], [-4, 0, -1, 0], [0, 0, 0, 0], [3, 0, 2, 0], [0, -2, 0, -1], [0, 0, 0, 0], [0, 1, 0, -1], [-9, 0, -3, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-4, 0, -1, 0], [0, 0, 0, 0], [3, 0, 2, 0], [3, 0, 3, 0], [0, 0, 0, 0], [0, -4, 0, -1], [0, -1, 0, 0], [0, 0, 0, 0], [-1, 0, 1, 0], [0, 3, 0, 0], [0, 0, 0, 0], [-7, 0, -4, 0], [0, 3, 0, 1], [0, 0, 0, 0], [-6, 0, -1, 0], [5, 0, -1, 0], [0, 0, 0, 0], [0, -9, 0, -1], [0, -1, 0, -2], [0, 0, 0, 0], [0, -4, 0, 1], [0, 0, 0, 0], [0, 0, 0, 0], [0, -6, 0, -1], [-7, 0, 2, 0], [0, 0, 0, 0], [-3, 0, 1, 0], [0, 7, 0, 2], [0, 0, 0, 0], [0, 7, 0, 1], [-6, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-7, 0, -4, 0], [0, 0, 0, 0], [-4, 0, -1, 0], [0, 0, 3, 0], [0, 0, 0, 0], [0, 3, 0, 1], [0, 1, 0, 1], [0, 0, 0, 0], [6, 0, -1, 0], [0, -6, 0, 0], [0, 0, 0, 0], [-1, 0, 1, 0], [0, -11, 0, -2], [0, 0, 0, 0], [11, 0, 5, 0], [4, 0, -2, 0], [0, 0, 0, 0], [0, 0, 0, 2], [0, -8, 0, -1], [0, 0, 0, 0], [0, 1, 0, 1], [0, 0, 0, 0], [0, 0, 0, 0], [0, -4, 0, -1], [-17, 0, -5, 0], [0, 0, 0, 0], [-2, 0, -5, 0], [0, -3, 0, 1], [0, 0, 0, 0], [0, 9, 0, 1], [-17, 0, -2, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-2, 0, 4, 0], [0, 0, 0, 0], [-3, 0, -3, 0], [-15, 0, -6, 0], [0, 0, 0, 0], [0, -3, 0, 2], [0, 0, 0, -2], [0, 0, 0, 0], [2, 0, 3, 0], [0, -1, 0, 1], [0, 0, 0, 0], [20, 0, 7, 0]], 'ap': [[0, 1, 0, 0], [0, 0, 0, 0], [-1, 0, -1, 0], [0, -1, 0, 0], [0, 0, 0, 0], [0, 1, 0, 1], [0, -2, 0, -1], [0, 1, 0, -1], [-4, 0, -1, 0], [0, -1, 0, 0], [-1, 0, 1, 0], [-6, 0, -1, 0], [0, -1, 0, -2], [0, -4, 0, 1], [-7, 0, 2, 0], [-6, 0, 0, 0], [0, 0, 3, 0], [0, 3, 0, 1], [-1, 0, 1, 0], [4, 0, -2, 0], [0, 0, 0, 2], [0, -4, 0, -1], [0, -3, 0, 1], [-2, 0, 4, 0], [2, 0, 3, 0], [0, 4, 0, -1], [3, 0, -5, 0], [0, -1, 0, 1], [0, -4, 0, 2], [-9, 0, 3, 0], [0, 7, 0, 1], [0, 8, 0, -2], [4, 0, -2, 0], [0, 4, 0, 1], [0, -1, 0, -3], [0, -3, 0, -3], [3, 0, 2, 0], [12, 0, -2, 0], [0, -5, 0, 3], [0, 3, 0, 3], [-13, 0, 2, 0], [5, 0, -6, 0], [-3, 0, 0, 0], [0, -3, 0, -5], [0, 1, 0, 0], [11, 0, 1, 0], [0, 5, 0, 0], [-13, 0, -3, 0], [0, -5, 0, 3], [4, 0, 9, 0], [0, -1, 0, -5], [0, 11, 0, 1], [0, -8, 0, -4], [9, 0, 0, 0], [-13, 0, -1, 0], [0, -4, 0, 4], [-13, 0, -7, 0], [0, 6, 0, -3], [0, -2, 0, -2], [0, 2, 0, 3], [0, 5, 0, 5], [0, 5, 0, 3], [0, 3, 0, -2], [-12, 0, 3, 0], [-6, 0, -4, 0], [-6, 0, -6, 0], [-3, 0, -5, 0], [0, 11, 0, -3], [0, 10, 0, 0], [0, -1, 0, 5], [-26, 0, -2, 0], [0, 3, 0, -3], [-16, 0, -6, 0], [0, 5, 0, 5], [15, 0, 1, 0], [0, 0, -6, 0], [-8, 0, 10, 0], [6, 0, -8, 0], [0, 0, 12, 0], [0, 10, 0, -2], [4, 0, -2, 0], [-17, 0, 0, 0], [0, -1, 0, 3], [-8, 0, 11, 0], [0, 0, 0, 3], [-18, 0, -6, 0], [21, 0, -3, 0], [0, 7, 0, 1], [0, -9, 0, 3], [-20, 0, -4, 0], [-26, 0, -5, 0], [0, -10, 0, -6], [-6, 0, -10, 0], [0, 6, 0, 0], [13, 0, -9, 0], [0, -6, 0, 0], [15, 0, -3, 0], [3, 0, -3, 0], [0, -12, 0, -7], [0, -8, 0, -2], [0, 6, 0, -3], [0, 6, 0, 3], [0, 10, 0, -4], [0, 5, 0, -3], [0, -5, 0, -2], [19, 0, -6, 0], [4, 0, -11, 0], [0, -4, 0, -3], [-12, 0, -3, 0], [0, 1, 0, 1], [0, -7, 0, 3], [0, 3, 0, -1], [-17, 0, 1, 0], [5, 0, -3, 0], [-9, 0, 5, 0], [33, 0, -3, 0], [-14, 0, 2, 0], [36, 0, 0, 0], [-20, 0, -8, 0], [0, -13, 0, -9], [-3, 0, -4, 0], [0, 7, 0, 5], [0, -11, 0, 0], [-7, 0, 2, 0], [-26, 0, -4, 0], [0, -8, 0, 5], [2, 0, -11, 0], [-12, 0, -6, 0], [19, 0, 9, 0], [0, -19, 0, 3], [0, 4, 0, -3], [0, -12, 0, 0], [9, 0, -1, 0], [11, 0, 10, 0], [0, 13, 0, -3], [0, -14, 0, 2], [5, 0, -1, 0], [0, 9, 0, 3], [-15, 0, 9, 0], [0, 3, 0, 6], [0, 7, 0, 2], [0, -16, 0, 1], [30, 0, 4, 0], [0, 17, 0, -3], [14, 0, 3, 0], [-8, 0, 7, 0], [0, -6, 0, 4], [0, 9, 0, 0], [33, 0, 7, 0], [-2, 0, 13, 0], [0, 4, 0, -6], [-27, 0, 3, 0], [-30, 0, 2, 0], [0, -3, 0, 9], [25, 0, 11, 0], [39, 0, 6, 0], [0, -21, 0, 4], [-6, 0, -12, 0], [0, -17, 0, 7], [0, -13, 0, -2], [22, 0, 4, 0], [0, 18, 0, -1], [0, 12, 0, -3], [0, 0, 0, 0], [-12, 0, 6, 0], [42, 0, -6, 0], [16, 0, 0, 0], [0, 0, 0, 6], [0, -15, 0, 1], [0, 0, 18, 0], [0, 5, 0, 7], [26, 0, 3, 0], [0, 13, 0, 9], [0, 11, 0, 7], [-16, 0, 6, 0], [-31, 0, -7, 0], [0, -7, 0, 3], [-33, 0, 3, 0], [0, -10, 0, -1], [0, 17, 0, -3], [-10, 0, 4, 0], [0, -2, 0, 2], [-15, 0, -16, 0], [0, -1, 0, -6], [-33, 0, -12, 0], [3, 0, -9, 0], [0, -9, 0, -11], [5, 0, -3, 0], [0, -7, 0, -11], [0, -13, 0, 3], [-27, 0, -4, 0], [0, 20, 0, 4], [-28, 0, -2, 0], [-6, 0, 12, 0], [0, 10, 0, 2], [-5, 0, -5, 0], [0, 20, 0, 4], [-22, 0, -12, 0], [0, 12, 0, -3], [0, -11, 0, -9], [0, 0, 0, 11], [0, 5, 0, -9], [0, 0, -8, 0], [0, -18, 0, -2], [51, 0, 0, 0], [-2, 0, -2, 0], [-9, 0, 13, 0], [0, 3, 0, -3], [0, -18, 0, -9], [27, 0, -1, 0], [0, 16, 0, -6], [-4, 0, 8, 0], [45, 0, -7, 0], [-24, 0, 3, 0], [0, 13, 0, 5], [-48, 0, 8, 0], [0, -11, 0, -9], [0, 9, 0, -3], [-14, 0, 16, 0], [-6, 0, 24, 0], [0, -17, 0, -3], [0, 3, 0, -4], [-23, 0, 7, 0], [9, 0, -23, 0], [0, -16, 0, -2], [0, 2, 0, 0], [34, 0, 4, 0], [-16, 0, -10, 0], [0, 22, 0, 1], [0, 16, 0, 2], [2, 0, -12, 0], [0, 11, 0, 8], [0, -2, 0, 13], [0, -7, 0, 1], [-19, 0, 13, 0], [0, 1, 0, 11], [-33, 0, 2, 0], [0, 13, 0, 2], [-54, 0, 0, 0], [52, 0, -2, 0], [10, 0, 1, 0], [0, -9, 0, -12], [50, 0, -2, 0], [-44, 0, 12, 0], [0, -17, 0, 5], [0, 9, 0, 3], [-2, 0, 0, 0], [-3, 0, 6, 0], [0, -5, 0, -2], [0, -17, 0, -9], [0, 0, 0, 4], [0, -1, 0, -9], [9, 0, 12, 0], [-24, 0, 5, 0], [0, -3, 0, 2], [0, 16, 0, 14], [-6, 0, -11, 0], [0, 31, 0, -8], [-30, 0, 6, 0], [0, 8, 0, 6], [0, -13, 0, -16], [0, 12, 0, 6], [0, 9, 0, 15], [0, -28, 0, -2], [17, 0, 5, 0], [34, 0, -12, 0], [-58, 0, 8, 0], [9, 0, -3, 0], [0, -19, 0, -10], [0, 2, 0, 1], [-20, 0, -22, 0], [2, 0, 0, 0], [-13, 0, 10, 0], [0, -9, 0, 9], [0, -23, 0, -5], [-50, 0, 6, 0], [1, 0, -20, 0], [0, -28, 0, -4], [0, -13, 0, 11], [0, -7, 0, -17], [0, -21, 0, -3], [4, 0, 0, 0], [0, -14, 0, 8], [0, 12, 0, 12], [0, 9, 0, 0], [36, 0, -3, 0], [-8, 0, -7, 0], [0, 10, 0, 3], [-47, 0, -3, 0], [0, -3, 0, 5], [-25, 0, 23, 0], [36, 0, -3, 0], [0, 3, 0, -12], [0, 18, 0, 18], [0, -9, 0, -13], [0, -23, 0, 5], [-10, 0, -14, 0], [-26, 0, -2, 0], [0, -3, 0, 3], [0, 10, 0, -9], [0, 10, 0, -4], [0, -24, 0, -3], [0, 5, 0, -5], [20, 0, 2, 0], [68, 0, -2, 0], [54, 0, -13, 0], [-32, 0, -20, 0], [-22, 0, -2, 0], [10, 0, 19, 0], [0, -26, 0, -12], [0, -1, 0, -3], [18, 0, 0, 0], [0, 8, 0, 3], [-46, 0, 10, 0], [0, 22, 0, -6], [0, 19, 0, 7], [0, 0, -15, 0], [0, -12, 0, -14], [9, 0, 20, 0], [0, 19, 0, -6], [0, 3, 0, 0], [15, 0, -22, 0], [0, -17, 0, 6], [16, 0, 18, 0], [0, 3, 0, 6], [23, 0, 12, 0], [-14, 0, -12, 0], [-35, 0, -9, 0], [0, -15, 0, 7], [0, -18, 0, -3], [0, -15, 0, 13], [-59, 0, 1, 0], [0, 4, 0, 7], [0, 14, 0, 18], [0, 3, 0, 9], [36, 0, -6, 0], [0, 0, -23, 0], [0, 21, 0, 10], [35, 0, 12, 0], [0, -9, 0, -3], [6, 0, -5, 0], [-59, 0, -11, 0], [0, -6, 0, -15], [32, 0, 6, 0], [23, 0, -1, 0], [0, -2, 0, 6], [-13, 0, 12, 0], [-33, 0, 19, 0], [0, 20, 0, 6], [38, 0, 2, 0], [0, -4, 0, -11], [-25, 0, 18, 0], [-73, 0, 5, 0], [0, -30, 0, 9], [0, 9, 0, 13], [0, 5, 0, 7], [38, 0, -16, 0], [0, -9, 0, -1], [0, 21, 0, 18], [12, 0, 24, 0], [0, -14, 0, -2], [0, 17, 0, 3], [6, 0, 15, 0], [0, -34, 0, 6], [49, 0, 15, 0], [-5, 0, -24, 0], [0, 15, 0, -12], [0, 13, 0, 14], [0, 1, 0, -11], [26, 0, 5, 0], [10, 0, 20, 0], [0, -2, 0, 8], [0, -27, 0, 6], [0, 23, 0, 17], [8, 0, -20, 0], [21, 0, 0, 0], [0, 25, 0, -3], [0, 31, 0, -3], [0, 12, 0, -7], [0, 12, 0, 6], [39, 0, -3, 0], [36, 0, -18, 0], [0, 1, 0, -1], [0, 18, 0, -9], [0, -1, 0, 0], [-3, 0, -12, 0], [-72, 0, 2, 0], [-28, 0, 12, 0], [0, -35, 0, -5], [15, 0, 12, 0], [-6, 0, -8, 0], [-43, 0, -1, 0], [-39, 0, 18, 0], [49, 0, -15, 0], [-58, 0, -10, 0], [0, -9, 0, 5], [0, 19, 0, -14], [27, 0, -9, 0], [12, 0, -14, 0], [0, -15, 0, 1], [0, 2, 0, -4], [11, 0, -19, 0], [0, 17, 0, 0], [49, 0, 7, 0], [0, -28, 0, 13], [0, -19, 0, 8], [-36, 0, -2, 0], [0, 13, 0, 6], [27, 0, -19, 0], [5, 0, -28, 0], [0, 29, 0, -7], [0, 21, 0, 12], [12, 0, 0, 0], [0, 21, 0, 24], [0, -8, 0, -12], [0, 0, 6, 0], [0, 8, 0, -12], [-4, 0, 6, 0], [7, 0, -23, 0], [0, 19, 0, 15], [-18, 0, -6, 0], [0, -2, 0, -4], [23, 0, -28, 0], [0, -27, 0, -9], [19, 0, 20, 0], [-22, 0, -4, 0], [53, 0, -10, 0], [0, 1, 0, 12], [-25, 0, 27, 0], [0, 18, 0, 0]], 'char_orbit_index': 1, 'field_poly': [9, 0, -8, 0, 1], 'hecke_orbit_code': 108086391090449603, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [4, 0, 1, 0], [0, 6, 0, 1]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [-4, 0, 1, 0], [0, -6, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '3267.2.a.y', 'level': 3267, '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': [32, 40, 40, 33], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [17, 18, 18, 18], 'ALdims_old': [53, 56, 56, 51], 'Nk2': 13068, 'analytic_conductor': 26.087126340352302, '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': [3267, 1, [3026, 244], [1, 1]], 'conrey_index': 1, 'cusp_dim': 361, 'dim': 145, 'eis_dim': 71, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5, 7, 23], 'hecke_orbit_code': 33557699, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 6, 6, 8, 8, 8, 8, 8, 8, 8, 8, 8], 'label': '3267.2.a', 'level': 3267, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 11], 'level_radical': 33, 'mf_dim': 432, 'mf_new_dim': 145, 'num_forms': 39, 'plus_dim': 65, 'prim_orbit_index': 1, 'relative_dim': 145, 'sturm_bound': 792, 'trace_bound': 31, 'trace_display': [0, 0, 0, 3], 'traces': [145, 0, 0, 142, 0, 0, 3, 0, 0, 12, 0, 0, 9, 0, 0, 124, 0, 0, -3, 0, 0, 0, 0, 0, 163, 0, 0, -6, 0, 0, 12, 0, 0, 28, 0, 0, 31, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 134, 0, 0, 42, 0, 0, 0, 0, 0, -8, 0, 0, 27, 0, 0, 148, 0, 0, -19, 0, 0, 44, 0, 0, -15, 0, 0, 90, 0, 0, -63, 0, 0, 84, 0, 0, 12, 0, 0, 0, 0, 0, -49, 0, 0, -60, 0, 0, -35, 0, 0, 190, 0, 0, -57, 0, 0, -24, 0, 0, 18, 0, 0, 48, 0, 0, -88, 0, 0, -96, 0, 0, 0, 0, 0, -16, 0, 0, -72, 0, 0, -68, 0, 0, -29, 0, 0, 20, 0, 0, -9, 0, 0, 0, 0, 0, 84, 0, 0, 66, 0, 0, 81, 0, 0, 0, 0, 0, 70, 0, 0, 132, 0, 0, -65, 0, 0, -72, 0, 0, 208, 0, 0, -84, 0, 0, -111, 0, 0, -120, 0, 0, 17, 0, 0, -108, 0, 0, 0, 0, 0, -124, 0, 0, 27, 0, 0, 0, 0, 0, 23, 0, 0, 20, 0, 0, 60, 0, 0, -48, 0, 0, 15, 0, 0, -148, 0, 0, -72, 0, 0, 0, 0, 0, -56, 0, 0, 12, 0, 0, 82, 0, 0, 60, 0, 0, 56, 0, 0, -36, 0, 0, 9, 0, 0, 150, 0, 0, 5, 0, 0, 48, 0, 0, 0, 0, 0, 112, 0, 0, 21, 0, 0, 184, 0, 0, 80, 0, 0, -158, 0, 0, -75, 0, 0, 96, 0, 0, -30, 0, 0, 224, 0, 0, 108, 0, 0, 0, 0, 0, 191, 0, 0, -42, 0, 0, 128, 0, 0, -180, 0, 0, -72, 0, 0, 288, 0, 0, 60, 0, 0, 24, 0, 0, -73, 0, 0, -174, 0, 0, 0, 0, 0, 244, 0, 0, 27, 0, 0, -20, 0, 0, 163, 0, 0, -120, 0, 0, 33, 0, 0, -12, 0, 0, 93, 0, 0, -80, 0, 0, 87, 0, 0, 0, 0, 0, -44, 0, 0, 12, 0, 0, 114, 0, 0, -58, 0, 0, -301, 0, 0, -12, 0, 0, -9, 0, 0, -216, 0, 0, 37, 0, 0, -12, 0, 0, 0, 0, 0, -30, 0, 0, -36, 0, 0, -60, 0, 0, 26, 0, 0, 288, 0, 0, -84, 0, 0, -96, 0, 0, -63, 0, 0, -398, 0, 0, -168, 0, 0, 0, 0, 0, -7, 0, 0, -288, 0, 0, -75, 0, 0, -104, 0, 0, 138, 0, 0, -156, 0, 0, -132, 0, 0, 60, 0, 0, 60, 0, 0, 336, 0, 0, 0, 0, 0, -80, 0, 0, 138, 0, 0, -136, 0, 0, -317, 0, 0, -352, 0, 0, -153, 0, 0, -252, 0, 0, -9, 0, 0, 116, 0, 0, -69, 0, 0, 0, 0, 0, -133, 0, 0, 384, 0, 0, -124, 0, 0, -400, 0, 0, -52, 0, 0, 84, 0, 0, 36, 0, 0, -84, 0, 0, -185, 0, 0, 156, 0, 0, 0, 0, 0, -60, 0, 0, -75, 0, 0, -480, 0, 0, 109, 0, 0, -110, 0, 0, 0, 0, 0, 204, 0, 0, 165, 0, 0, -156, 0, 0, -9, 0, 0, 0, 0, 0, -113, 0, 0, 78, 0, 0, -376, 0, 0, 140, 0, 0, -44, 0, 0, 72, 0, 0, -75, 0, 0, -24, 0, 0, 75, 0, 0, -12, 0, 0, 0, 0, 0, -160, 0, 0, -108, 0, 0, 192, 0, 0, -196, 0, 0, 0, 0, 0, 246, 0, 0, 42, 0, 0, -45, 0, 0, -516, 0, 0, -261, 0, 0, 0, 0, 0, -83, 0, 0, -96, 0, 0, 409, 0, 0, 312, 0, 0, 21, 0, 0, 168, 0, 0, 42, 0, 0, -36, 0, 0, -132, 0, 0, 12, 0, 0, 0, 0, 0, -322, 0, 0, -120, 0, 0, 204, 0, 0, 71, 0, 0, -196, 0, 0, 96, 0, 0, 216, 0, 0, -57, 0, 0, 376, 0, 0, 195, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, -44, 0, 0, 4, 0, 0, 176, 0, 0, -378, 0, 0, 15, 0, 0, -24, 0, 0, -67, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, -39, 0, 0, -306, 0, 0, -400, 0, 0, -468, 0, 0, -210, 0, 0, -288, 0, 0, 72, 0, 0, -224, 0, 0, 48, 0, 0, 0, 0, 0, -219, 0, 0, 228, 0, 0, -115, 0, 0, -724, 0, 0, -18, 0, 0, -240, 0, 0, 15, 0, 0, -66, 0, 0, -228, 0, 0, -288, 0, 0, 0, 0, 0, -208, 0, 0, 21, 0, 0, -212, 0, 0, -73, 0, 0, 10, 0, 0, -24, 0, 0, -96, 0, 0, -252, 0, 0, -120, 0, 0, 36, 0, 0, 0, 0, 0, 292, 0, 0, 12, 0, 0, 285, 0, 0, -240, 0, 0, 301, 0, 0, 36, 0, 0, 216, 0, 0, 48, 0, 0, 247, 0, 0, 162, 0, 0, 0, 0, 0, -220, 0, 0, -45, 0, 0, -8, 0, 0, 383, 0, 0, -148, 0, 0, -24, 0, 0, 228, 0, 0, -15, 0, 0, -152, 0, 0, 3, 0, 0, 0, 0, 0, 47, 0, 0, -216, 0, 0, 212, 0, 0, -644, 0, 0, -324, 0, 0, 420, 0, 0, 192, 0, 0, 324, 0, 0, 289, 0, 0, -48, 0, 0, 0, 0, 0, -40, 0, 0, 312, 0, 0, -300, 0, 0, 213, 0, 0, 32, 0, 0, 378, 0, 0, -24, 0, 0, 207, 0, 0, -8, 0, 0, 24, 0, 0, 0, 0, 0, 389, 0, 0, -576, 0, 0, 36, 0, 0, 148, 0, 0, 117, 0, 0, 78, 0, 0, -279, 0, 0, -12, 0, 0, 221, 0, 0, 240, 0, 0, 0, 0, 0, -132, 0, 0, -228, 0, 0, -206, 0, 0, 323, 0, 0, -420, 0, 0, -138, 0, 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: 1074362
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3267.2.a.y', 'source_level': 3267, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 25, 'target_is_minimal': True, 'target_label': '3267.2.a.y', 'target_level': 3267, 'twist_class_label': '3267.2.a.y', 'twist_class_level': 3267, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1074363
    {'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3267.2.a.y', 'source_level': 3267, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 25, 'target_is_minimal': True, 'target_label': '3267.2.a.y', 'target_level': 3267, 'twist_class_label': '3267.2.a.y', 'twist_class_level': 3267, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1074364
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3267.2.a.y', 'source_level': 3267, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 28, 'target_is_minimal': True, 'target_label': '3267.2.a.bb', 'target_level': 3267, 'twist_class_label': '3267.2.a.y', 'twist_class_level': 3267, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1074365
    {'conductor': 33, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': True, 'source_label': '3267.2.a.y', 'source_level': 3267, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 28, 'target_is_minimal': True, 'target_label': '3267.2.a.bb', 'target_level': 3267, 'twist_class_label': '3267.2.a.y', 'twist_class_level': 3267, 'twisting_char_label': '33.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3092550
    {'charpoly_factorization': [[[9, 0, -8, 0, 1], 1]], 'hecke_orbit_code': 108086391090449603, 'p': 2}
  • id: 3092551
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391090449603, 'p': 3}
  • id: 3092552
    {'charpoly_factorization': [[[-6, 2, 1], 2]], 'hecke_orbit_code': 108086391090449603, 'p': 5}
  • id: 3092553
    {'charpoly_factorization': [[[9, 0, -8, 0, 1], 1]], 'hecke_orbit_code': 108086391090449603, 'p': 7}
  • id: 3092554
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391090449603, 'p': 11}
  • id: 3092555
    {'charpoly_factorization': [[[-18, 0, 1], 2]], 'hecke_orbit_code': 108086391090449603, 'p': 13}
  • id: 3092556
    {'charpoly_factorization': [[[441, 0, -56, 0, 1], 1]], 'hecke_orbit_code': 108086391090449603, 'p': 17}
  • id: 3092557
    {'charpoly_factorization': [[[36, 0, -44, 0, 1], 1]], 'hecke_orbit_code': 108086391090449603, 'p': 19}
  • id: 3092558
    {'charpoly_factorization': [[[9, 8, 1], 2]], 'hecke_orbit_code': 108086391090449603, 'p': 23}
  • id: 3092559
    {'charpoly_factorization': [[[9, 0, -8, 0, 1], 1]], 'hecke_orbit_code': 108086391090449603, 'p': 29}
  • id: 3092560
    {'charpoly_factorization': [[[-6, 2, 1], 2]], 'hecke_orbit_code': 108086391090449603, 'p': 31}
  • id: 3092561
    {'charpoly_factorization': [[[29, 12, 1], 2]], 'hecke_orbit_code': 108086391090449603, 'p': 37}
  • id: 3092562
    {'charpoly_factorization': [[[3249, 0, -128, 0, 1], 1]], 'hecke_orbit_code': 108086391090449603, 'p': 41}
  • id: 3092563
    {'charpoly_factorization': [[[7569, 0, -176, 0, 1], 1]], 'hecke_orbit_code': 108086391090449603, 'p': 43}
  • id: 3092564
    {'charpoly_factorization': [[[21, 14, 1], 2]], 'hecke_orbit_code': 108086391090449603, 'p': 47}
  • id: 3092565
    {'charpoly_factorization': [[[6, 1], 4]], 'hecke_orbit_code': 108086391090449603, 'p': 53}
  • id: 3092566
    {'charpoly_factorization': [[[-63, 0, 1], 2]], 'hecke_orbit_code': 108086391090449603, 'p': 59}
  • id: 3092567
    {'charpoly_factorization': [[[324, 0, -92, 0, 1], 1]], 'hecke_orbit_code': 108086391090449603, 'p': 61}
  • id: 3092568
    {'charpoly_factorization': [[[-6, 2, 1], 2]], 'hecke_orbit_code': 108086391090449603, 'p': 67}
  • id: 3092569
    {'charpoly_factorization': [[[-12, -8, 1], 2]], 'hecke_orbit_code': 108086391090449603, 'p': 71}
  • id: 3092570
    {'charpoly_factorization': [[[1296, 0, -128, 0, 1], 1]], 'hecke_orbit_code': 108086391090449603, 'p': 73}
  • id: 3092571
    {'charpoly_factorization': [[[81, 0, -144, 0, 1], 1]], 'hecke_orbit_code': 108086391090449603, 'p': 79}
  • id: 3092572
    {'charpoly_factorization': [[[2916, 0, -116, 0, 1], 1]], 'hecke_orbit_code': 108086391090449603, 'p': 83}
  • id: 3092573
    {'charpoly_factorization': [[[-108, 4, 1], 2]], 'hecke_orbit_code': 108086391090449603, 'p': 89}
  • id: 3092574
    {'charpoly_factorization': [[[-59, -4, 1], 2]], 'hecke_orbit_code': 108086391090449603, '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': 25, 'label': '3267.2.a.y', 'level': 3267, 'portrait': 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2j3PE7MQ6A9tDFcvDmk00s4u+gw0XC5YHPM9g1d6rUAIQ1hKGj1qiy0PCZqAle6nJ33OHxGcPx8zMmlGL/a42XXdvnu68CX4xw40eTknOJcxtwLhsOLhudetsCvv22FzRPjnDg7ybmlKgsrLosrkqVWzEorYrmdsNiK6ZkGE1Nj+t//8+m/vf4K/6fnl5P23st/5tmGxLd0+0cN8NVWi+VVQcU3bz95+unnnz/5LnnbQ4Pn/9oPnnQWVrayuDLOcqvKUstjqeWw1ILlVsJyK2JpNeH8KhxZEsxMr/KffniJ5+2pcWpukrPzdc4uOswtGc4vxpxeSJjvxIxPDnjBFV2uvxg8WcVXPnPLFc4tOpxfFvQCiGNNxdPUKwkTYzEaOHE+pt2FHRtc6tUAYwQIj25fs31jwNKqA8ZKkdUuBDEYDMutkC2zLp2+QiiD0AHNisv2TQNWe4ITZx0S7TDVlDQqAt+FOBb0Asn5Zcm5JcPcSozvD8CNueHSLs+/TDDTrLK00uTUnM/ZRZhbjJlbjjmzDEeWDM+9dJHf+uEVNo43OXl+kvNLVRZWPBZbkuXVhJV2xEo7YbljWOwITragtbLIn/1qGD90cOruX/jxH9O7dl56t3SSXxn0faq1xrMNlWe8/aMNMt//Vx9nfGyMufmF3/7YZ27/Nx+55UH/1IKPdHp8z40eV+3qkCQuWksSLUg0aO1gjMIaKyBEghCGo0sT/KcPCX77x+e4eldIozpJvdqgWfNp1FzGm4q5JcX5FYev3lPhlrtiLtrW4+ILYpZX+lyyLeCtr9JEsUJg+Oy9FeZbFapJwPFzim63wZUXJsy3Y/YdcNmzTXLoLNywF1odCLWD74RM1+HgmSq1aoSvYsYagtUOXHdJhyOnffbs0Bw7G/DUEfv73G0DjswZxhoBy+2Qz321hhGKJEl48VU9brzacH7V5erdA3ZvdomjJr1+lX1HK5xfFCysJMyvxMwta04uC+a6IVftWeI//rMuM80JTpwbZ26pysKqy1JLstJKaHUiWt2E1Z5hpQfzfUmnF/K8y3tctWvJuWHv4EWD83/N4d7NN27eebNujjd+7eH7PsU117/+2YbMurd/lAz+vg9+jB1bN6h9h078x3Pn537t8aePqxNzIWc7DnP9hCt3zvP7PzPPVbvrzC1NsNSqsdyqsNxyWW47rHRgpZWw0o5Z7sQstuDUisCpDrjxsmXe8qKQXbN1VrtN5perLCx7LLYEyy3NUkuz0tG0+5p2YOgNYqaaEds3aEDgu4bT8y5C+uyYVezabNg822NuJeCxQw2uuchQq67w5OFJGvWQMHSZmtD0B3DJ9gEf/vo4e7fFBIFhekwSJX0aFZ+njg+ounWu2hPz+NGQuSWPLVM+uzbB9o0hSkWcXgTPNQhh2LEhZqIh6fR9uj2Xds9lua1YXoWllma5lbDYSjjfgqVBwvYtXd7y4kVuvNih4jY5t9hkcaXC4qrDcluw0tKsdiJWOgmrXcNSF853FHOrMc/be553/swie7bWWOmMMbdYY6k9gd+4IJmYmP3t8akdv9VpnU+ee+Mbnm3orLn9owL4wQMHqVQq1bNnT2+/5/4n3nzk2Nn/fOzEGRIjafdhuSeY7ynOdiKee8Ecv/czy1x5QZX5lQmWVmustK0eX2k7rLSh1dGsdmJWOjHLbcNcS3C2a0B0ecNNLV7zPM0FmyqEYY2VVoXVrkero1jpCjo9wSAwhLEhSUBJg+9C1TeMNw2zkxGOO+DIuZAnDvvouM6rrgtx3FUe2jfGzk3whftjbrrcZ77Vp+Io4iRicgLiyMVxY5aWarzg6jZfuKfBrk3w4KEAlxqvfJ4mFn2eOJJw7HQFR3psmHCYqAuqvsDzBEpArCGMDIMQOj3DalfT6WlWe5qlrqGfJOzY2uM117d4w/ND0A2WVseYX66ylJFBC1Y7Ca1uzGoK7uUenGsrFtoJz90zxzt/Zp5Ld1RZXBlnpVNjtV1htevSHxia45vxa5v+w/jMJX+3deuWk0Ew6F900d5nG0r57R8NwM+cPMTs7Ix38ODhH91/4PC77rnvEbGw3JFhDIPA0B1o2n1Y7Uvm+5JznYjnXTjPO35yiasvrLC4Os7Sap2Vts9qx2Ol47DaEbQ6xi65nZhWV7PSNcx3BOdamonxHi9/bocbLo7ZsUHRrLq0OxV8VwKKMJZoLdAGegNAaCYaAw6dMWgTcuuDdYJelQu3eNx4RY9Ir3L7w+NcdZHLofNdWitNrr+ix1cf8tkwadh3wvD/vL7NvuM+GyYlX3lYceMliuVem6OnJrlqT8jtT/SJgxo3XOqxe9uAftzlyw8pSARHTjs0aw6OgF5foo0g0YYoBqTG8TStrqHeiNi2KeD5l/R4+TUxU/UKc8tjLK1WWWnbY7PSFrS60OrEtLoxrW5Cq2dY7knOdwSLnZjr9i7w2z+5wJW7KiysjrHaqdHu+rS7Hp2+Q28g6QeCMK7o7bsuN9t37v65XRfsfv/S0kJ42SUXP9uQAv6RANzoQCZR/7UHHv/cheeXxDvvufcht90V9ENDfxDTCzS9vqYbGDp9aKUgP9uKueGSed7+kwtcs9tjtT3GwkqDVrfCasdjtevQ6ihaPeh0De1eTLub0O1rWj3DQlew0IUoCbjyoj4bJxO6PcOrrw/YuVETJxJHGsIIbnuswsn5CpsmYp48UgFd4+Ktiqv3avxKj4cO9VhYrHPZzjrN8RXuedzl2osqLPVWWVlpsnGj4f59in92c5cH9jlsnXVZ7LZYWZ7k6kt63PNkwmR1nMsu7DLfanH/0+NUnTrP3WvYs30AsstjxwSzkxFzCxG3P+YyiBRSQqINOzeFvPz6kE5XsXlCc/VFEIY1lls1lls+q12Xdk/R6kraXWj3EtrdhE4vod3TrPYMy33Jmbag1Q+4cc8Cv/UTKzz3IntxtDpV2j2fds+l23PoDBS9vqQ7ELS7CaudkCuufG7UCZxf/NEffN3hZqP6uUrF1c82tp71ILPT7dHuhj98+tgjv3/m9OHJM+daNKoSg0TINFokRgBCaAQGITRSGqR0eODgBn7lvQ6vv3GZH7h5mV1bQs4vNfG9KlXfo+a71KsOnaqk0XcZqzv0BgndfsKGQNMPDJ2Bz/JChdOnDGGsOXM+xvcNIPCUwZGCXl8hcIl7Ds/ZKdi92bB9S48g6fDFBxT7D0/wimt8rr5khQ9+0eCJGju39Hj8HsWWccV0s0dFVQkjl/kO1CsOWzcIHt0fcvWeKi+6apEPfL6P5zZ42XUG1+/xtftDvnBfnaePVblgc42dmxJmJkJ2TUdcvjNBKY2jDGCo+T4z4z5h5NLpeTx5yKU7cOj1Fd2BpNuH7sDQ7dnv3ukndPuGdt+w2oeFnmJuxVAba/Hzr1rge28MuPKCOucWm7S6FTo9n07POj7dvqI3sODuDQyD0BDFgtvufMCt1qd//977H1i++YXX/ZvBoP+BSqX6rOLrWQV4MOiBED9x4Kn73/7UY1+fTMIVpHDxfYi1QRsBKITIHBEQwnbSKGlQMsGTkscPzfDIwTqHzs7z+ud3ef6lA8YbTZZbNertCs2+Z1knPdn9gUMvcBgEhkGoCSNDFBnixN7D2MNokErgOoKKJxhvCCYasHFas3VDj+mJFl96CO54xEXqMV5xjctzLu5w19MR4aDJjc8RtPp95pfq3LBHMz3eo+r4DGLFQjtCacFz9jjUGgEPH6jwwqvHuP7KDg8fUGDGuOZSjx//7mW++mjIVx6os+9khe0zio2TVSYaNcYaUPXBdQxKgjaw75ggSQRRLAhjCCIr7wZBQj/QDAJNb6DpBZpuH9oBLHQl8x0I9ICXXrXMa5/f4gdfponjJucX67S7FTp9j27fpdtXdPqK3kDQGwj6gaE/0AyChCg2JIlhYf4cn/7slya11v/1FS+9yen2eu+t12r/5wE8CpaQKv7xs8fvfPv547fNerIDFWUPlNFoLQFh/08ohBBISQpuUMrgKIOrNFVXsNir8pGvb+Vrj7S56fJV3vbSVS7f1WVqvMbSao1O36fXd1NgK3sPBUEkiWJBHNulPrMYlTQ4DlQ8qFU1k42ILbM9YrocOhPxt7dXOHqqzrhf5dpLHW64os39B1vcem+T6y6qsH1Tjw9/XaCET7MRsdoN0AaUgJlmj3bHQ8dVXnvTPB/5Qo3dcxVec12PMFri9iemiJIKz7t0ltdc2+aibS2+9nCPx0/VeOyYx9ZJyWRTUPMFnmsvQple/NqA1oYoTi/WyBBE9kIehNAPoTMQrASC5Q4IZ8BVe1d528tXuenShKlmlZV2jVanSqfn0x24dPvFStALJP0B9LILZ5AwCDRBaIgTAcLh5NlVPviRL88utfXbX/fqm8y5udW/2LRh/P8MgP/b3/wQO3cH/H9/+rkf+d4bFt456+2bHquEuKJCEBoGkS2PsZIEhBDpXaKkg5QJSol0eda4yuA7hqojWBkolloTfPS2Ovc92eXGK1d528tWuWp3i6mkShz79AYVun2XfuAQRooolsSJ9dK1EQgMUhh8T1OrxPheiOcGnFkK+PyDksOnPY6dnkBpn92bPC7Zpbjm4jbKX+CJIw22jNe47ALYOLPCcrvJ5VsksTZ86QGfoCcZr8e88nkDPnd7xMnzDfZe6HJudcBTR122bZjgyl0L3PV4h3ueEgShx8W7Jrl4m8/FWzscObfM4TPwwP4ah47WqTkC35HUfUPFBSntcTPGXqxxAmEMYSLoBoL2QNCOINQx2gx47kVt3vbyNjddnrBp0mcwGGOpVaHT9ekOPHp9h+5A0Rso+oGgP5D0A9s3OggSBmG6MoT2AgpCQxBDEElOLbbY/4FvzC60jrzzJ1+bxCeP/OEHnajJ5ot//J8uwB+/70Ncef15fuOdG3/w/qcP/dElU/eM77nOEIxN4fTAcTxUYFJ9rZACpBRIKVFK4CiVPmocleA6As/ReK7Bdw01L2G8IugELivtCT5+R5OvPzZgw0SPN7+4xcXbBgz6XS7bZdi2URFELkmiSLTEZOCWGtdJODFnOHZesNrXfOauGmcWJzChy0RFsXnKYcdGhwu2wGW722i5yLs/V2d5eYzrLna4bHeLrz0mELHL7ISkXovpRR7SSDAS5Xi0BoK5ZcGlpsaLr+lw98NVNk97XHfZJD/23Yu8/wsdHjhQpztwWVptsGtzlb2bejxvT4fve2GHs8vLfOYun6Wez4lzLmfOeLjKHiuBQBtDoiHShiTWTExFXHFpjyCIuHhbwBtfHDA7pphs+ERRhXMLFXp9j15gV7l+DmzrlPQDwSDArgRBYgEdJBbckSEIDf0QBpGgGwpWQsWp84vcd8/T09937c4/0urq6KKr7vnrP/iTv+EXfvat//QAbtp/Cg0tzh9svOnOh/e/57YH99c0IdWKplYZYAwW0MIgpEEJYyWJlEgJSkocJXBU+ugIXCfBcwSeq6m4hmpkqIWGsUrCRFXQCyWdsM6x03Xe8deToGNEHHPNFT12bQyJY9BGY4xN4kghkErguB4HTnrsO1yhXnFoeJLpmmBmSjI76bB5RrFjU8LeHaskYok//mSTEyfHuW6Py8U7E/pxh3uf8BmvukyNGcYbIbWqlUJaS1oDxXLXsNRKaHWrvOCyVR7c12P/ScV4s8LzLh3nJ1+7xP/4FDx8uE63b1jtOMwtN9k4XWN2YsCOqQH/75t6NGstHj8GB05JXNeglA3Cwdj/NxDHsHNjwo2XxySRSxT7GFNjELqcX/ToB3ZFG4Qql2/9UDAIBIPQsnYQGgZhQhBoglAziHT6XgZw6EeCXihohYKlUGDiGCkGPHnowPi9B6fe0/nEi+Jf+Tdvvv1f/4sfmB/EJFX3H97E+98C8P/yp+/hpn+3Wf369x94wyWbTnzw+j1PVF73ggQlYoRKqFX7GJMGkNJY+SFdlDIoqVBKpXpb4jpWc3quInAlQajxw4QgMlQjTRBpwtDQjCGINEEMYSwYRJIg8YmSCvsP13lsPyTGYKFttbErwVO25qPhw2WboFmFsbpkoqGYGneYnYTtGwM2zawSmWX++JNjHDk6xtUXKC7YKtm9dYVvPBUztzTGNbskE01NxevjSx+jBHEiEcYQJyEr3QpzSy5XX1zlOXs63PVwhQ0TglqlwdV7ND//hiX+6FOap840WO1qVjuKhRWH6fE6E80qE80xmrWImXrEjqtDfDfGdWKUSpDCBhMGe1FFkWJ+wSGKFVGsCCNFEKWPoSSIJEEoGYSSIBQ2QA2FlR2hPa5BmBCGqaaP7PuDlLUHEfQiQTsULIeCbhiBGWBEwq0PCd7/hUO1F10n/nJx7lB7trH5mkG3f+p/B/b+wQH+67/7EVRcU9dvX3jjez6z/IFJd39l+6ziY1+rcOH2iL0721y2rYvEMrcFuItS2j5Kg6sMrqNwHYMbSjxX2JPgCgJPEUYW6FFkCOPEuiJx6Z5AnBiSRJNorN7W5OAWApQER4Lrgu8IKr6g5kvqNcVYTTIxJpidjNmxsUejvson7w65/YlJVhebXLFdsWOTy0XbBiRilS89UKPuOsxMKBq1AU8cgaePOly+zdALFFdeFHHFbsP5cwkLKx79QY1XXdvhzsf7HDqjqFclvtfk8gs0v/UjS9z2VJ/P3TbNUtuwYzZhpeUw3lSM1V0aNZd61VDxNb6n8Z0ER1mpJaU9B8ZgE1ZaEGtJnAjiWBDFkjAWRJEkiKzzEkaCMDKEIQRRQhhpwhJxBFH5bsHdz8AdSVYj6AcRMupy1e42b3l5n4u2JdTrMDt+xmflPOePXPwC5Wz62NmD70827/nR72yAz9YT2Q+WfuD0ybN/+uV7FytBsgtNSDTQPHYspNtzeePNbd50c5eJZkJHJTjST3W21cOu4+BGDr6jGLiWaQJXEnqCMBL25ESKKIYwktZBiAvbL040SWLdhcSkTklekCVSCWRlj+cIfE9S8SX1qqBZM4w3NBsmA2YmOsRmlY/eKXn/F6aYrVS4Yrtg+yaXnZs1Ozat8Ml7DcvLFS7eqJhoQqMWMXdcMr/i4+2CIBLMjEnGx+HQMcNKW3N+scJFOyvcfE2Hz99RYaoBvueh5DiX7xb81GvmceU8n71rgqfPVNjQjpgdjxmrKxpVRa0qqfoOvge+C45jHSYr+Uogx17YiYYkEcQJKdAhSgxhDFFkLb8o0oTZY6RT2zFzZVILMhb0I0E3ErRjQSc0hEHImN/mLa9c5E03d3nlNZrEOPziW2IwHp3uSX9laeo9iRx3ENW/wfLMdybAP/6Jz5Ik+kfuuPeJ3zt78mRz55TD8kCyGrrgGuI44ksPeNz7VJVzy0v8P9/XY7IZMfCqtHsVHOXhOi6u4+KFCaHr4IVWmoSRTaVbxhGWiVJWimOIEkgS6yRobdJqQ5P1cKbgtgC3gavAdSxAKj7UKppGNWa8ETMz3md6YpW794f81a1VDhwbZ+eYy+6NsHWjx9YNsHd7m17c5v59TarKZWZCMd6A8UbAxFiM5zkIYS+ufuCx3I5Y7Rla3Zj5FY/tGxtcf/E8tz7Q48CZJjU/wlUeQoyxe4vih162yHP3zvNXtza4/8lxlroOs82Y8VpMrSKpVhS+K/BdievaWEUpUvvQotxge1i1Jgd6nOh0dUutxVgTJxbccQRhbIp7ZF2ZQWxJpZcBO4bBIEZHfaZqHX7u+5f4d2/tUau4rHZqhJFPlLj0Bz6dXoWl1fNN3Pof1ycv8+6545b33/jC7/rOA3i320ZK+RN/99FPv/3cubNT9YpEG4NE4ytBOxJ0pU9fOawGLr/3dy77jqzw2hd2efFVHTZMh3TaVfqBj+fG+J5LEDr4nrX3MoBHkSSM7bIbxamnnZBaf6TMLdGGAtw2SZkyNzjKJkw811DxNNVKTKMSM9EM2DTdZq7V412fcfnSg5Msr9S5cEawfVawZdZj66xg1+YBjrfKR253OHqqzp4NkomGZKyeIGXAmQWD70ikAGMEYeSwY7bNAyS0e4qVtmFuucqerRW+78UtPvY1j+NzPq4TIYSLNnWiWHLNrhV2vLXNlx7u8eEvTfLQ8TpbJgTT9YR6JaHiCXxX4Lk2VnEUNnCWIq/JMNiLTBus05JYwGcgjxMr6SzYIUxsrUuYJY9iQT+GTizpxNAPNUkvYOt0mxddvcrrXtjj1dcmuKLGykqFKPYII5dB6DIIPLp9jyB0WVo4P7XR3fXO57/oe1Sr1Xnv2Ng/TE35PwjAzy2sMojVj91x+51vf+iRp2aNMThKUHFtIkIIgyMEvhJ0YklXVmiFDh/5RoXbHu9w9cVt3vqyHq+5rsXUuE9/4NMPPHzXJYxdwsjJA6U4VkSJJI4lUSKIY0mSiLRGPNXaWpCrEmOZWwqbLFJpsshzNb6XUPVjGtWA6fEu/ajP154w/O03xrj/yXEmPJfLtxg2TUo2THlsnpFs3RBywZYVHj/e5zN3zjCmHGbGBM26oFmLaPUSvnBvhYZnEMICqx84vPbGgFvuszUxra5mfsVh62yD1z+/y/37O+w75FH3Y5QUFuS6xiC0Wv+Hbm6xZ9M8H7mtzT1Pj3NypcrGpmCsYqh5moqj8VxwlEBJ0gSZ/d5Z+ZFOpZrWxQoXp0C3BAFRIoiSFNiJYBALerGgm2BjnjCkXu3x+lcs89aXtbl6T8KGSYd+v0Gr6xFGFtxB6KQgdxiEDnGiAMO50/tnjx6YfvuVV1+v43D5fY737R9V8W0F+PLyKosrXXxH/PBHPnvH737hC1+ZElEbJSVKgutAxdgTLSU4MXgSqhI60qXnKk63Pc7eV+O+J7p87IoOb7y5zytvHDA57hEGPkHsEkYuUewQpUCPE0WcpAmbpAC4Nilz68KOEsKkQaWt43Acjecm+F5E1Q9pVPsk9Pnqw5K//vo4Tx4bQ0Q+OycMm8YN0+OKmUmPjdOSzTMR2ze2ObXQ4c8+VycOqmzdKhhvODTr0KxFCDek3a8z3jAIITAGolgy6StiHdOJPDq9hJW24sxClUsvaPDT37PKO//G58RCHUdF6YXhEMcVBqFk45TPNRe2ueKCLk+dOMPffqPKrQ+Nc7ZVpe4rGh7UXYPnGFwFjrTpfCGGq+s0YLS96BItSAzEiW0eiRJBmNgkUT8R9BPox4Y4jtFRwFSlz6teusqbX9rhpssjxqoOYVxnpeUThB5RbEFtV1sndWscokiSGCsHE73I4qkvzC7O9n63MX1z3Gud/ktUk1r92zc/8dsK8G6vz/Rk/XW33fnA//jKl77S7LVbNKo2M6kkuEoApmBQYXCkwZUCT2mqiaCnfHqxy3xQ4bP31bn9yR7P+0qXf/n9HS7Z3mZ2XNGsOZYdYpc4LkCeZADXEm0kxlhJUHT4pKl+ZWwQ68T4XoyrQtr9iIV2xB9+ssKx+Qke3jeO0R5TVcHstGF6TDDVVEyNu2yYkmycitky02NqfIUvPaJ56OlxrtgqmGhIGjVJs6apV0OEG+D7Do6yf98YSBJJP3DoDyJiLej0NZ2uYbntcn6pyQ17u1x/6Sof+UqF6rLCkZEFpHGIE48wkvQDl+nxCs/d3eW5F3Z54EVnObEg+atbx5lfrXF6ycdTkror8DIZJm3gmRN5JlWwTB4bQawh0oIggUEMoTaQxBBHSBWweaLPFTvs+bj2koRm1SGO67Q6PkHkEafAtiusQxgrojxekkQpASEEriNptfo8dP9dU7suHvsf23ZdsxKF/c98OzH5bQP4vn0H2bplo/rz9/71hU88daCZBC0mGo7VnZAXStm0O0hprC2XCFxl8GJDJRHUlKCvBD3Hp5+4LIVVbn1ojLuf7lP3A/75q1tsnYrZubnPDZd1cISiUXMQwsoVm5W0tdLGlJibLIFkPXNDDDLmqWOSB/c7fP7+Bk+dbBDGNRqOYqZqmKwbJmrG+uBNh8kxh6lxwcbJmM0zfTbNrHD7kwHv/vwsm8YdZprQrCuadUGjFlP1A+4+qBiEDm7dgsoYQRhLKo7iqj197nti3BY+9RNW2y6Lqz5zixP89GvmOL24xH2PzuBKQERoyAEUhJJu32GiUWG8Wef6PT1edEWPt75kgf2nNLfcX+H+/VUOHq0TC4cgUPQihRIyL3+ALPBMcwJGE2uD0RpXJIx5IRUirr+6y65NA7ZOR7ztlQFVT1KvuoRhjVbHS1dSJyUcVXjtsSKKZBobpffSCosRRLHPaqdPL7yzubBw/sLnv/jN6tSpw8m2bRf+4wH4vn1Ps3HjpPfggw/+qOckv9fvrjDWcC1DkC6D2hBrgRB2uVRSEEuDSgwqBlcKXG3wY0NFCWqJINAwSFz6iUsvqdDpJPzuRyYwccSGmQGXbh8wNRbzxpv7bJ8NiSKR6m0JJeYm1Z9SaoQUfPy2Ko8fqSMchxNna5yZq1GpKsZ8wXjd0KxomhVoVAVjNUWzoZhoOEyNw/R4zIapAVtm2yRmlY/f2aTfrXPRVkOzpmjUJI2qplGJcd2QL91XIehJ3FmQKZiiWFKvKl71vD53PKLpBpJuP6Hdc1jtOJxfqnHJrgZvvKnNw0/VOLHcQEkNRKledokSRRDZxEx34NDqejSqNerVgEu2Drhu74BT8y2On1vFcRMeO+rwsW/UEMoWriHk8Ek0GtBgDFGYsGNDzJtv7jPdTNi7w7BhCpLYJQgbxLHLStsljhRR4qRxkGXqOLHgjlMwW1dLpHGS1fRxIvJGEmMkSaJon13Fqye/9/hjD/U2b971/oMH9oV79l7yjwPgp0+fZnFxcc+ZM6ff9cTjD8t61boaSZJG6tqgE4HSFtyJtNV6kRI4sdWJUWJwE4iVwE8MFW2r00JtCBNBoCVBIgm1S6RhodvkG49rDAmfvj9CiMSeJGNPEmQrh0W3rUiUSKWIIwepHVxH0vBh14yh7mpqvqbmQ80X1KuSRtXKobGGZKIJU2MxMxMBm2c6JKzwh5+ocNcTs+yegolayt41SaMaU6uG1Gt9qtUavpIomWpwrByIIpdBX9APEjqBojvQdPratszVPU7PjfGCSwN+/k1z/P7HHE6u+gihMSZCJ4YodgkjySCwZayNvkO94lGrVqj5NSp+RKMacs1FIZ4bce1FMW97aQ9HxWkSSCOEGRblqaTTWiKExHcV4DEIHJZWHFu3k2QxT3qPZREDxek9seDOnK04BXUci1TjW2zkzeKJIEwM9973kAxC9a5ut39nEARPfjuw+f83wG/72qcZH3eqR48cfsPhA4dF1XesjovTzGFiAZ6orLdRECuDSkAlkCgbsTuJ/XmcRfRJGtVnkb0WxWstCLUkNpJEO0TaJ0ltr/Itz1IKcISwkkhBpWqoOIaKSvBd8B2oeIaqL6h6klpVUqs4FuB1wXhDM9mMmRoPmJ3ssnl2iXd/XvPhWzewbVwx3dA064pGTVGvQa2a0KhGnFvSHDnnU/HsBQ1ZpZ9gEDrs2qjZOD2gPfDoD0zK4pLVjkOjWqFRG+dtL53n6LnzvOczW3Ckg0GT6IRYG6LYIQgV/dAWRfUqktrAoeq7VP2EVsfGGJ6b2ISZm+BI2yghpU3ni/RuS1cEIFKQC1rpxAI7ucDGN1pLYl3EOxa8WYCfPS89xiJ937K3PcclgGeOTWzLAx585DGxY6nzhi1bdxz5m7/9eP+tb/n+ZxfgG6bwOp1zv9zvnv9lTw1krWp3IlDKpF/OEGsLdC1NCm5BogxOYog1OAnpF06TD9qkr03+XvG8qJSzXq7IA6Wy5oaieEsKcKTGkaQ1LTbgdR1jfWNHUPElFU9S9RXViqJRlTRqhrF6wngjZrIZMD3RY/uGJe4/GPCR2zYzUfHZ0NA0a8KCuyqpVzT1SkyjFnD/AXhsf40LZ4rYI0ub9wPFtXsNF23v88CT4/QCQ3+Q0O07KchdapUq1co4b3nhMo8dnOe+fRvBKLRObDlsbIgjk9eT9AOH2sBQrSgqnsb3XHwvwXc0jpPgOjY7rJRtGJHSlgYjDIJCzxXBuS0h1pkjpTP7tWTFZsDWKTvnr8mBnd0tcaXgTgksSbOoUWKbTlqdjtTm7H+MTcWrVhu/DYTPGsD7/YGMw95vPnjXX/2bXuesV6l4NoEiQMWCSAriJAW0tCyuEkOitD1AyuBok7K8SKUM+fMky7iZLPNm0GkmLktWGGMoZd6HVtwsVZ0ldJRMM5aKUtGWzf75nqLiK6q+oFYVNKqGZi1hrB4z3giYGuuzeWaF+w70+c0PbODk6XEumNaM16BZVdSrinoF6pWEaiXCcwe0BrZYzFUGKYtPlmjLcFHs0axG9GJNL62z7g0SOj1Jq6qodXwqfoOdGyN+60db/MYHJffu24BBoY0mSTRxEhPGmjBSDEJF35dUA0XFk/iewfcUvqNxXev3O8qkdT5p3U8qU4Qwww26aWrfpCRi0lqWJAV8ootHS0ayxMopwNPnQ6ydATspe+6aOE5LAiI4fOy0Z1TtF//dv3y1O+j1/kOlVvtfTuf/LwPcJMsY0/3tM4e/9q9byycqFU9i0BhjDVchQcYWVEkqS5LEglyn4E5ScOvsuRZobfI0ss49WjBpC1uSloCW74wAPJXdud+uhP0cSlm7zElb0VxH4nsSz1VUfDuSoeob6hVNo5bQrEWMNUImm302z6xy3/4ev/H+aQ6cnGTHpHVYGlVJvSYte1cNtUpCrRIRJSEf+koDqRSuNChR2ITaZEu4yw+9YoUvPxTSCX16KcC7fUWnq2j5DhXPx3eb7N0W859/fIlff7/gnic3oI0k0TatHsW20CwINUHFlrv6vqDiCnzPZjY9x+QZW0dppLLxkEzLknOAFylPICURbC7Bui1pIJ8BOA0WdZ5cI2V38hU3W51t2QSFFE3rhOK0RMCWBGg0kv0Hj1f++hO3/cL3v/5l4uxC+1c2zzT/9wJ8cW4fxujr485Xq64DrlMhTgzasYxq2dOCKk5IWVyQ5OnhDNyZ/LDv6bxWomi/skAXto4iA3V24Ec+VwbwrAYjy+Rl7O04Wd2JxHWlrd/wBBXfzjyp+Qn1qgV3sx4y3uwzM97i/v09fvN9kzx1YpqtE4KpekmaVBzqFVu/Uq3EVP0Q1w04szSBqwRK6tSWK4LMJJHEsWLThK3JaUeVtFNG0x8kdAaSak9R8Vw8t4LrjHHx1pj//GML/OpfwH1Pz5JoaQGeGKI4SZlcE/iaSigZeCqXYK5rE22OMmmdirVpZeaNp4/rYNzKFVI3DJEnh3SaHMqyxdZUSJ/rQnLm8jMx+Upcjs/i2EqUOHsvgeV2wEduua966aU7ry+vfv9bAL548sNMzS7U/vqvHvGm6iJNvWZ1HRZ5tpfSkCQWZIlKv2gKdK0NiUMO9mFgZzLE5EA3mRzJnj/DZ5OiKKKyDRMiB7eSMm2UyOQJVFzwPU21Yqj6Vj/XqhHNWsh4vc/0RIuHDg349fdO8MSJGTaPK2bqmrGqoFGR1CqKWlVQrdiLw6b6Q+7bJ+gOPCqK9CKzGjxrQki0IIod6hXFDZd1uP+pJr3IypR+kNDrKzq+wvcUnuul+nmcS7Zpfucn5/mlP4d79s0SaUmkddosXfRgBp7E97Rlb7eoo3dUdieVKYWMk2mWdz2QZ0khkwE8BXySOy+su/LqNJbS2uRElhNcCvokKSo/k1SMVDyJS5ev3foFb8NlL6/91/fd0vv3P/Y/X5T1Pw3wg4eO01Y7xk8+9P4/q7iDF84v+3huCi5pl0HI5EGqvbNlS2IZO1/SQCuxPmuXAK1zYBdNwaTaOz8ZwhYUCZmCOy0yUjnAQaUVg64DnovtBPLSAis/oZrKi0Y1YKzRZ6LR5tHDAb/+3gkeOz7LxnGHmZpmrAr1iqBeVdSqilrO3gkVP6ZRG3D7Yx6rrQoTE0WaPAOMTrVplChmpxQvfU6X2x/Utosm1CWQSyqupOI6uI6H41SRUnPJNsPbf3KeX/pzwz0HZom0Q5RWANqyV8vkfiTz6kLPkThOWoQlBcrJjg3558suwkyqiKwqjSIhNHrXpUetS4/5yltarU0J2ENAN7k219p+lpovkDLh7ELvhZt6p/7i//3R7/+ZH/+eU6vTs9v+YQG+ujKH01n+pdvvXf2B3mqPjdMOWunCrVAmz1TKRKCljbCtzs6ucoFW5Fe9ndCUyRBy9h4KJEeZO0V6lpHLtbfMKugK3Z1VDDoKW5/hGFzXNhZXPE3FS6hWYmqViHoloFEbMDnW4uGDAb/859M8enQDs+Mus7WEsZpJwZ2yd0VS9S37V/yYmh8S64BO6COUxM0YPNfgImW3tEAscql7A1suEFaYyEA+SOh5lsF9T9qaeCfbgNZw+U7DO39mjn//p5p79m8g0g5BIggTnbK4oBJpfNfgubZ31UnjDkfZEmElZXp80q787LFUmJVfmOVYZwTcOQmViKkM7iKuSkGe50fK7E7+31iytAaAp1epBKd+4KknHz0SR/Gv/oMy+OryacYmNu344mf/8gqPBfwxlUfjViYZpEk1r7YJHa1BaZN2lGRFPUVNcpHRSoNJUwRiBVMUWUlTXjMz1i4Hldlym3boqDSYcpy0MygtQsqqBytukurmiGolYKLZY6ze4b59Mb/y7mkeObqBmTGHmWrCWMXQSMFdrVg7MQN31U+oeDHNesi+44bbHq7jSYmrdBrEFToyW76jRBFrhxdfE3HhBV2OnKwyUyPtUred671BysKOwnHcdB6M9a4v2wG/81OL/Oqfa+58aoZBVLXJsNhQS2u4fRcLcidbvXTe2ypVkq9wSooSwEUJ5KzRKwXIzTDA8wrFYuVdb2UeNhJMXrqbuWP2b1rToTcQPPLkaQbJA1f89E/9xI4jx06f2L1r67cf4EuL51He2M7jhx/4A0csva5R6eTBiiwFKBkgi2Ajs5ese2K/iFizpGX+sMk97RGXZI1bkjL3KLiFQarMFrRgcFTK2o7BczSuq/Fdje/FVLyYih9SqwRMjvVY6fS440n4nb/eyOOHp5lOwT1eNTSqgnpF5F65dV60ZW/PArzqB4RJwqBfoaLsRSZFaekn06wiDTQdq+WdwHamR6IEcI3nJXiug+tKO1VAujnAEXDlLsHv/MwKv/s3Mffsn+Jsq8mgLhlPDI3YUEknDviuSb3/zEkxOXtnUiUDeP550w9dxnmuENOTkq2qBbiHJaWt5iyBfQjoGasXK0JmHkhh62OiyNDutqk2ll53+x33JDfd+JxfOH3m7PGtWzZ/ewHeWjmB61avWzi3/w29lQNMND0MOmfu7BAU7JtZfiUrSYlcklhQi3RpyxI2w1KkDPD891OownxuCuVgyaTyxJSGA9myWNfR6ZiJJAe376XgnuyysNLn7R+q8Zl7Z1jsTjAzJpmppOCuWN1dSwPLqi+p+SZlcKu9K34IhHz9UY+VyGPKZ6geGzG8QiWJbX5o+g43X93jvgMhnchnLO9Y13iBrVX3HAtwRxmUdO1YuzQDefE2ye//yza33Nfnt9+3gdOLE/THHcY9QSPW1GLwIzt62VN2oJGbBZpS5EFw9lgO1MsXpsgK5yjOD4xIyDKwS/GTLoG/nMfI31uH0EQu6yQPPnqIjRtn3zDWrH+o2+0f/7YyeLfbwa/WL5o7cdu/irsPMd7UIKKcrclATcHeRoscyDYLZn+Wa+0c1JkEMYUNNcraZVmSHuiMWbJ0c+YCqAzgypbiOk7W22n7Oz03wXNjKl6E70U0qn0cp8ftjyX8xReafP6uWULdZLYpmK5YWWItwMwnV+ldpMxdZu8Ixwm4++lxeqHDplr2eUYZPFvdJFGsqLiK6y/pE2sL8H4kbNd61rkeaBscOulsmNTeE2ly3SCYHhf8wEu6NPyzvO8Lfe54eorzUZVeRdKMDXXHWJA7aRyiTBqXmBTk2TEURe24BEnB4qM7CuZSJRtRQQHcsimgs/c0Q4yelJhbG0YukjLJCZJE8aXbnuLiS/b8q9e96qZHgqBzyPf//i6gvxfgJjrIX33y4/iV8c0T7r4X7aifIPKbtmJMy7xbu0jtWnBnCQH7M5NLliKQLLN9KZkwBOyS9VC2r4QZkSZZVs5WDNrRbjqt+U7BrWwthu9GeF5ExQ2p1QZ4Xo+/vtXhHX85y5GFSVy/wsaGYNJPaPqGug/1tMO+6ttsZyVNCNn6lSRdCaw8WWwndEMPTyk8afIAk9JXyS7srHYjjF2q7oCN431Wew36kUjHrdlYwXWT1OZTqd2pLMCHAldb+fi6m7pce+kCv/NXAz78pRmW4zo936XuSpqOrcHxHfAUeTOEkyV90pVP5lKlSACVSWVYrJSBzrorcM7m2qwBdC5V1om9slgl1oIwcTiw2OHYmYdedPb0/Oalldahux87xfOf881dlb8X4IlO+KE3vmpnf+Whd6+cug+hAwahIoxc4sTJi2y0kSXWtrJkuJYhy4aJ0pcoAkyDKC1RYkSaZOA2BZvIbBBnCeDSoKSdPFswd5KCPMZzrCTxvQDf7XN8LuY9t9T51J1THJ2boFlzmazAhJ/Q8E2aes/ALVNwyzwpVEm1t+/ZC6dZD/jk3Q6HTlSppBO48nYxCpSb0sWeJJIodrh4B3z3tR3+4otTdGsOzXT2iB+mcYPSOI5Mx9ZRArlbYiO7KmyflvzKP+txxa7T/PnnJzl6fozluErPdagrQS0FuieNvXBSlylf/bLjmtmHWH1eZDrNWp88I6asdCL3zdexFXUB8qF6oiHAi7yNLkgEnViwGine8ZfHqI09990vft5LXq2X23+vVPmmAO8PIpTn8NDjd22dO/PY7lnnLBfvrOA4MAh8oth2bmTVZtmymxXnmDK4SwxfZvziahc5CxSskNG2GdKBGbDtYzbqzYLbuiYZeye4Tmw7d5wY3w/wnIBOEvKuj3q875aNnFkaR6sqk2OKSc8w5mlqKXPX8vS9TOtUUmmSeuc5uD2bvQyikEOnfbqhz4SfujhZ0ilzJbJAypRqUiKHZt1h19YQ5Q/ohA36nqCajkTznGx8hpUoTuZ6CPUMwatiZqzHT7+uxxtefJ733dLmPR+fYrFfp+9UqDiKmiOoKlt/76XdPkqKNLtJuhqa9ZmcdeTKqMPCCJOnyaFRhi6DOivFiFOARxoGiaAbC/pRgoj7NMQp4s49u+MeW19w1U3HdRIilfe/BvCjJ+eYmWjMnF1sfvStv3rKvWh2C7/zs/O88MouUmiCKEGpdL5f1iqmZXpFFtIlL9YxI8BOAV8wtsCs+0lMyQ40ObCH5IlMq+RUYgHuJDgqwXMjKl6I54a0BiF3Py7561ubfPzOKQZJA8/zmPIE456m7hlqvqHmFeCu+BLfl/ipNLGJodSZSAHuuTbzeeyc4Y6HaoSRi183awLM7DbsMNkRGK7r8NJrO3zkq10OnK7Tr9jRDIFr8GJwI40bapSS1reWAilkMdyH4ngmWhJrSc132DDe59+/pccl2wM+fGuDB/eNsdCvM1AerutQcQRVCX42YCmzV6Wx+QRBCeTDNSujxVllRs8IatQRy16XQa1NmvzLMrzGts0NEuhpiOIYFXZ5+VUL/JefabFr021udeOLPxoFq88xSWvhf5nBL9o2Lu95+NB1H/3UbWOeFDxyYoZf/JOEP/j5RW66oo/o2wlKceyQKMvkulRDXMiRYVmS3zNgpxKlzOBDhT+2R8cyeZ5S1nm5p9XdBkclFuAqyeWI40S0uhF3PSn4wBeb3PrwGMutBrJaoVFVjLuGpqepuYaaZ6h6pKxtmbvqSyqeouIJKh5phZ5Owa3xXau/lRNw8DScaVVsgiLVt8OJk6J+xvZBWpDHWhKGDhuagou29XniZEwvctNJreCFWPCpbLJulqgBOdKZk8c6qQ0ZJbY+/M0v7fPK563wtUc6fPBLTR7c12SpU6MlPbqeg6cEnhT40jaCO9LgiCyuKXpoRSn3UL6tqV8ZZfKyfcyIPCHV2mlPaGisLAm1QesYBn1ues4S7/jZFS7aUmVuyWNl8LWx5gb3uurYpV/kmwwP+qYAP3nmvF/1zJ/2V07VN9UNQeLy2IEmX3+0xYuv6uF7AoRBCU2sFVqrgsHXATgpqwPDAC8dkCFeGJImhnKBvpUlOtXcGiUTOxA/czNkxEIn5vaHHL5wV4PP3DHGfLuOqFRwGy5NB8Zc28lTdUllB1Q9kd5lWnKa6m5P4GfsnQHcifG8mIoXYkzE1x/2OXGuyvSkwJW6mI67Dtvl5aeppOgHLjs2CF56dY9P3RvSjVz6kR214cWWxYPIlFYplfvVCDkkU+xd5tLRZk0dqn7Am1/S5+XXLvHpOzvccleN2x9vMN+q0Rcefc/BcRWOELaFUEpcYVKpZVCIkjQctg/XIfMhF6xg7rTgLGXtJJMlBqJUlsQGtNagI4gDMH1eek2Hq/cYzs5XWe00OLe8XN9bl38aJmcvAfr/SwA/cOAAnW4XhwFS2sE9KMHD+z2OzXXZtSG000tFgtROCm6VyhGZSxOTd7jLfCnNKtQwArNGmIjhgLIEbCF0agdqRApwx0nwnIhKJWIQJBw4A8fPKv72K2N88cEm8yt1cCs4TZeakjRcQ8PRVF1D1YWKa8Fdce1MQltmKkt3kf7cpCDXOcg917anHTmreeKYD66bLvOmlKIXQygoB2G2XtoWrAWRy+W7Ai7d2mX/mRr9iqAWC/zIEChSa0+n7J25KZkFWWiV3GfPYyKVTh+wA3iq1YAfeVXAa29Y5csPdfm7r9Y4frbC/jM1wlWf2HcYOA5SSZvOB5z0MWPyXLpQBP9rbqZwjTJQa9KSWwMJJWliskm/mWCPQIcQReze1Oe5e0OShFSSOZw5HyIPH8H3v/kWKc8I8FOnz4pgMPhXn/jE303v2SFZGLTYN59AELDvoMOZluDCbSFObBDSQSUJ2qjU85Y5i5RZPGNthsBduuSHGMGUNJ9NalhJotNdHhJ8305SjZOE80vwlW84HDld5bb7q5xZqXLkbB18H1VzqDiKumOoO9q6CK4dnF9x7bg2C+LsLtO7SgFOqrlTcLsJvmvZ215YIccWYN/xGq4ctgdziUJRD164CamTotO+xtjl0h19Lprt8eTRmF7s0ogEgQNebGcCqhLApRQIKYeYHEYCt0wGJTLvo4wSl8D1aFZDfugVATdd0ebMSpuvP+Bx9JTPlx+ucXapQtJ30dIh8hRCSrtSpF35kjTjCblsWQ/kQ4Em5Sx15rakgCbrp01sCaKJ7T2K2Toec+neCOEbqv4qxxbqHDo9Rj85NP193/+mfzU/f/ads7Ob1w3fnhHgR/bfjU6SHxivLNQv3RZy8/VL/Mhii288pBgEAldIEmXwayFJGGMcRZL26hkj0UhMBvS0z4/SKIeivWw0sDSliL1g7VyKqATXT4gSw9FTgieOKr5yf40nj3k8faxKO/AJQh9cD9V08ZWgpqDmaKolH9h3sjqNrGzW1oX7qSzxPIXnyfQCMIX2dhObWXStzq94EUaHzC1LAuPjOBJPGpySzTZC4DnIEzPc7xjGLgKHmckQqQZ0I5eeI6zTERUFY47SQxlIKUpRbDbsCIHRsmDy0mAkN1H5+Ile4LFxImT7hohrLgjoh33++bEWTx73+Mp9FZ44VuHoyQpRrMBXGKlASBJZygblSYp1tMqQOM984OwxKz4pNYzrEsgjjdQJodHc9YjPVwLBNx5ocPh8hXEZsbh8rt78+r0/4Cj1zv8pBl89+wl63Z46cviwuGhbm6mxPltmNTc9J+C7Xxjx2+9r8m9/f4yrL4545XUDbr4qBGxja7VuQNtd0tCCOLKAzwLJIQYvX/LGApp0fonrGBAaIQ1RaOgNLKMfPy35m1t9epHi0acrHD7ls9j1CBIPHA+Ui2oqPCmoKqgpQ0Vhx5mptPBIWdb2XGGTHmVwuxIvlSW+B75H6prYlLnraDw3TjOiEdVKyPxKwlfuadDq+EyMCRyp85KBDAfrMpsuBYRaEgSK6SnFK28Y8OUH+5xs1em70soUB9zY4EaZZ5167DKxdiHlWScy/xvaOKW/YYHuJYrEUcSuHfsQRa61Ut2Iuhdx0+Ux118S8PoXDTh4SvLYPpd+qPjwV2ocO++CkPT6DkmosvJNjJMBfMQyKqdvhwAOoBGxQeh0EwJjqNZiXFcj0Nx8dcgrnxdw1cUhdz7m8fb3j9EajOHV6uyahCAMiO45JPZcdrn6gw/cGv/CP3/FtwZwIaDeqL5ry8zpK+NghYof4XoDtDF85T6PT3ytyuGTHg8+WeVjX20wMxljjOHqPRFvftkg78qYGdNcdXlIvZKuQkbkObC151zkw3laPcFjjzsstSXViuT+fS6fu7PCIFIMIsW58x5aOETGRQsXHAfhOzhS4ilBRRoqKbB9ZfCVsTXgTur5OgVze1lfZg5ulfZoipy9PVfjeVmBVpKzt+dFKBXyjUcUn7q3gfIca7cN6e9nZvDMC0+SzPFQDAYur72xz2fubvPhr4/RjSvUUx3uZjo8ypIyJu8WEkLmALN/Spa0fgng2jJ57Fgmdx1F7Dg4cWKBrhKUsoP0JyoxN+6NuWFvhBEBb3xJj0Fkx7l99k6fB/Z5VH3BYlvx2JMe7Z5MVZLgGUV5vvOEbQ286jkR0+OJrQ1PDG9+WZ+r9kQYDTMTmslJje8YNkxr7n7S59N3xgQ64kzXZ2WgaZnBlc95XvNdxvDT3xKDGzMPzDR7c3+xd6y2pER1FdeNUW7A5+9W/PJ/n+DwGR8qihDBXAvmVu0HP3jS8LlvjIHRmMQwNqG57sqQRtXW/K6bnixf6qnrsNpVPPiER7ulkI60M1GMY5lJONi5wA5IByklrhQWzNLgS40nLRA8BZ4qZvRZkIui4cGxjQBZ43EZ3Jbh07JaN2PwpHSP8Z0IY0LOLHqEQQV/TOKlaW+VVuUNZTFFfn6HrNO8O13bDPFEQ7FtOsQTA/qxTz8WVB07BDOrIckSWkqWy1tl/rfs38iSbbrInuq04bskjeI4SfMGKp3LHhPFCSqyuQRHJUgZs3VapyuG5pLtA0LTRzqaVkvw4BMOqz07g3JUkK+xENLSjXpFc/2VEWMTGhPbf19Nk025pRwr4thw4eaY//ovV0mM4ot3C4KkRiAVrhqo8yvtvb/zC29ovvHVq+0dm8e/OcCPnlhBys4777lz/0vOnlmyM0Ucw3Kvygc+3+TQ2Qr46dKELCInDDGGVrYEKUN71XDuG/XSV1wP4GX9lp4cIdDZlgukNadCFUGOlKmVlYE6TTtL0o1bM9+49OiknfSKdOs9cnDbti6Fl4Lbc8hLTC2DpyzuaLw0O+q6Eb4fcWpR81dfroPj2RmLspTgGQLfMJFl7JoNCbVgs4N1wsjlba/s8+nb+zw916CbuNRiuymtrQLMpoOBUFlOoBzsZaWLmRSSpQKv7K7zWhjHUbiJnZfipkBXskia2brx9LnQ6eCgBEcYhEmYrmm+6wUaRJLKTEBk+2esc87zGiMBWqEjJ5/JksTCbvtrssrRVNjGhl0bYt7xL5a5YueApa6LdBRaG7bW3ZcsLlz9Tl/EP/v3Mvg73nMbSgnv819JOHZyU7rbsI2YjKug6hSBxbr52pL5qQyJWwL3uvgWpd8liosm/RtCyrwFTQlwhU0r+/ngTvvakaQ1FWn3eFZI5FCag0K6M1vRVV8AXOayxfdM3tLmebo0OCfGTdnbcyKkDDlxXrDQriAcB18yJE9k+WuVTndZOgwBL3U6wthlqhmwY2Of/ecD+onDIAE/EbiJwY1THR6TO0tFCl0NdSpksZ21bbPOGVGSRhon0SRKopxs+3KVFqslSKXTlUIX1mwKcpH9beyULCFN7nplQM8csPL3zwCeZTmK+qMynkRaMlv8nij22DUb85s/ESDkwP5eDYPBIVoLn/SESNbAaw3ApX4CJQA3hMYESFMcKGE3Zh0Ftln3RQno3+yW/86it1JSpIjtVCpwhcEVKWhTCZA9z99Lyb4oBSVvsPWUsGAfAre0j14G9Cz4TMGddf84OpcormP1qedFxETccneVuYUq7pjCK9dwlB0UGFakQ8VHYiQIVAwCO8H2Nc/vcvfjA9pxhZ7jUI01YZpOV7IoiMp3pxOaonMoCzRFbkta6zCdqWIgUfZvOloQK4GTyHQXO1vLE6dAL5JpOk+wSalLiTed745XgDu1efO9YkyJz0tp3ZH3yiAvTwXOf0dsEIP80kAIWFgNefzE/nzjrWcE+Ls/dCv1Wu0Fn/v6F6+NogUavoMURT2BhmcOHUYKpf4eWOcnPa9WE6CyR2FwILfaVJoytvNNCo2rMmBLu598NgqhDOx8DorC9iOuB/As4Mx0t5PJEpPq7eFacs+N8NyQ8y3Nw4er4Hg4qTxxSgVKWbZPjCDc2qalqru8L1XmnngUuVx9YcDUeJ/WSo1erKgpcGP7XVSSDi6NygDHgjz/Q3KkUlOkfZNpQZzSJFrgakGipB3IpARxCvJy8VpWDiEzkJdAnZVMCHQK8hSMogBiUbtSQkYZzBkqTHGM8uclqzFrusglTFpzvmtz7dqLLv7eFyycfN1dM9u/Z32ACxOSROa7em3/Kj/SbK7ZTZuSUnljdlIKIBfLzCjA1wYXFNnJEsDt7sKkyYPhkWuqBPKMsZysNiKtAc9KPW1zcdapYmWJyrtXCmBnzbeWvVPN7ZDr7cwStIxdgNvNqxMjBBGfv9Pn7icbSN/Bk8LO384rCIs2uqLibzSbKYYK06wnbvMJ/YHLDZf1+e6bOrzn8w3CxKebSCqJ3U3YkUW1Yi5TpExZvPynnonJQTsybfoVObgTJVFKW0aXWUuiLpUil2uATAHyoWxzxuQZA5eQIdYhSVPgKH+rXHxXSghmmDOlXoQ40dSqjava7eC7jDZ3rcvg83NnaTbrr/zcLV/9Z268yMZxiLS2W/ClzcL5ASp/gNL4hnJWcjSsHK1bKIM7A4AsgUJS1DyURxtkzG23IMlekzI4eRvWEIun3TCuGga3Hacwwtxpz6aXtre5TtZwEJfuESERf/f1JonxUXn2shxgFn2NmbMxpMEZadfT0o7SSLJg00Hg8uabe3zoloBVHdFPKvQTgRuTs7iUBhmLvOjM2oWjtUeyZE2Waq+1IHHSrnaVgtwxKG3lih21ZysYbfZY5qXJhUVZru4sypjzppQc6CY/8esDfIgKS4AW+WPx+VMySJNXg0Cycq7PVBD+s0ufc/Ntp8+c+/LWLZuGAd4PIqQKL1xp93a32x1qvkOYGNzYFsBkzaG6dJDK4H6mSVOjNyFKTF6SJznQR8ozcy0+ojkz0JdneyglCi2eVtwNDbtJge0oUTgpuR1oO+5tY7JJmbsIMJ0Se/tuyMOHJYfOVjDKRUmJJzXOaJ1GSYCPuijZPW/rG2oWsSCPYpfdmyMuvaDLvQerRMqjHwsqEtzE4MQilW9pF06c6nCklQtDf1KUWFyUpFExyiObCekonc+RVKn0K8Cd1QKZtEygaDrPVg9RAjeimLiwLrjXuZXlSrkCNZsnPlR+kA7aH/TbJPHqbnT/QmEGX17D4CdPL1Gr9Th9rkcQ2QyeFBALY0dAZLOcs65phusMhj7YN//Yawrnh4BeArfKa74L262QLMJ2z4sC3DbIFHm3uJODWw4BvDz8x3bbkwM7z1bmzJ3gOTaxY7uCIgwRH/t6jaWlKsJ3rO9evghHa1AKYhqyCLPm23Idd+5Na0UUOUxPSt700g4PH24SJBV6yqOaWC2elbMqSQrubK3QqSeeVX9YFl/DhOm8x/JUKnuX6Sz39K5NnliSUqbfU+dtc1mXvxCyaI4YZfCRppUi3be20K5chTgUPwwRgCjNIZdUfEGzMkBHS5AM8t+WA/wzn/0cSknmF1aYaCg0AhmnWjhl8FgXAVG5JWlYljwzh2f+fyFPRh7LgC6z+NB4sYKxZZnBlSixeCZXJMoZBrjnpAOA3GzrwDTD6RjcPBWv0+fJ0N1RtnPn6RPw0VsbBNJDSZVmL4cvxNEM5uhln0u4jMVLbopOGTxOHPzE4U2vGPCBL/Z4/GiVSLn0pMRLdOoeCWRiSsfJ2PYyUV5Pdfq3hvctKjN5osHJLUQ72lqlJQEqMcWwznwui8gv6HhEj9vzWS6WK14XK/kz4ySvV6L4rGZkhctmkEex3VkvjCrsP3CCw8c+l6bNSwA/c+YcmzdvrP33d/35rpXlJWpV+x9KbFeHiAtmSkRp7sWaq+2Z+Xv4yxUllmXt/cwSReTAGR2HLEuMnQWZ2dQmx8k2eU21txoBd5a+d7PGZG1nhuQtYllPZ5zeI5QbcuiMQyf0QDmpPDEj5bGjF+7wgTEjS+9wEsZ24xSJH4e6K9i7ZcDjh0IS7dPXHpXE1mw7qQZXwm7kahNLGVtqsiCzYPJylafFgpMPNrXvZUObHE3aQWSQupgQkE3XSrLu/twAKILLPPDMSa0M8GGwPxMdltsZs/mH5fnk2b4/QSTpDyBBs2lsctfr3/hjtYXX/EhvZnajBfjCwhzdbusVWzfP/tLBA/uoVx36QXrVY+wVJQqWyPZ5zzZWXQPudZBeZu8C5DafUwZCAeyij1GVWFENDdXMQE5RI61KoFbDuxi7itQLt+C2AC6GArlleVJmb5X2dXohyx3Nf/9Eg6V+BeG7Vp5IM7SqFINzvrnmHJomkM2J0UUAlaR13M2aw899X4evPdxkKfAIpUNfSrw0rV2MfEgZvFxPLzRZGW023toYjUGOOCsiZXCTB+kZ2JUUKYNbSZTkLgq5TCl0eNFOWMiULPAsrMKhXtJRnJTYe3iVK5X/pnv/hJFMh/9Dtx+y44LJXzpy+NBdg0H/0zmDd5b2EXguhKeYGoPljiKKjN0kKh2YiRBoYS1Du2PvOvq79Lyss8sMvkamDGlwUYBcjkqU4cE0ObClQKpi/JgqgdqREieVJE4O8Exz6zyodB2dg9t1svqLYfZ2VYTnhfzt112eOlIF6SKlxM9KY0vWZr5HfPoln7GasMTm5ROYgTzWMt3kyeXy3T1ed1ObD3yxgnZ8+tLDlyJP+igpiEoB3SiTizKTl2bYlGtitAJl7KqgjbDgzqaEaUjy+SmiAHjp0YJbpBnNQp7kzkoZB3lK/xlyK2VlUFrpklIWNtYy3bAWBqHk3MKA+LETzC0LwshuDOEABDogjKDR7DA90WOxVQwbt2ny9OqT2TYchnxYzzPSU+nD5+DOCvPNmoEyQ55xHliKgs1zhvz7AC4LgKtSDbWT1qW45FLEVYVb4paGAxWa27K369ipVSstzWe/0WCx5UMldU9EKRh7BolCViNSPjalkzdk22WWoZboJHNTHCaaiu95SY/P3D1gqesTKod+IlN7UqTujSiaseVoYiXdnCB9S+dsXjhjTuasqPR5tlqn46+z414GuZCi1H2fDfFMdfeQHi/3cpo847rm4hemVKtSTiJmjetZ/U46HY1C5i61AyY2dpid6dPrpwB/7MmDbJiZ2vn5r9zz83fefZaq0HT7MUlSjCoeAmB2RUGprju94ta5Gkd97+yiGWXwIfYeOlhp4mQI2MOzv8sdLnZeIsPgznY2yJhblZh7DYNn4yaKkROOspnLY8cFB09U0PgI6eTNuUX1YDl+ECVXo/jy5VoUyidvKGVfOCpa22AT43DxjpDdmwYs7a9iEs+yeGJlilNycQr2LBd6pYI7K6MF+zrvvEpXElnMjSzHNkqn8jTdJS9PaMmCjHJwa5HOUsk0uRiRKsONy5mXIrJUZYqt8uU5OkdHpz9Q6cZizbrhOXsku3ec4cqLrvz5qY2veXRx7tBxx5GGOBpsnKjLVy7NxXheFSmSkktSMILJLq6ye1J6PWSHlV6PztLIAF1OZQ+9V+plLJwJUQo2C0BbBicdBVz2wcv3dEtrVQZ3CeTpfvVuWhqasbdKXztOhFIRt9zb4NBiFbxCnrgl63LogmXtuIj1luFiZFlpOlh5d7OsjDZ0uGA65DU39Hjg6RpoO3ipLyVukmZ3k2GpVDBn2ZJLQZ6vwiNza2T6XKariszu9tgn6YohRcrqOlthTU5MRcKn/Jw0jhMlmToiW0ar0koLXnkgVFbTJwUYaWMnx4F6tcrqyoCFJf+VtfH+xsHAHHfG6lD1YftGyY1XOhw9C+cXTenKH2bxnK3XuZXlSPFarNXdI6DOXo8GaBmgxTrAztlciVITbgnc6XzCYtsO1gLbKQYE5SPeHJ2CPLbyREVUayH3HlB8+ht1+gMPag6OFLhiWJqMfv7yd14X4DnIy5OdRhI+Kcij2GGs4fD6Fw/44t097j/gYeou/cTHE+QXmsr/fqGDyxyZgbycGrfBZ3qBKcvmibR6XJdYOwvqdRpcSi1K+luUAt3hGCoPKEtxgX1PDAN9BD/rEcIQ3oSNf4Sy40TOLkgePyiY2m6Y2WJodzTORKOD4wp2bVph88Z5bntign7X7jnjqOEPmcN2neBx+A+PXBhrAC6G2a7kmJSf51JEFKCWqrR7gxJpbUoB7gLkWdmswXGKEcpOugmTo4aB7uZsbe9K2QDT80KiMOGL99R4+mQNXBchVQqqdG5IKbgUcvikjrpGGbJz1sas8XktyGUxZya1C8PQ4ZLtMa96fpfHjlcJYo9EuvS1wksY+SyZF84Ig9tHM/JZUNnFptFKoDL/WQqMskWlmR7PV1QJUpdmGepi1ZCjAB+NSxgB/jNkOp+JHLKLNxuT3ajGuG6XLz4YceBMwPZdASutEOfBhz9ItaI4cqrN+77icPSEw64pW4Bj8p4GsQao62B96AOJ9B+XT+wazc16oM4YuxxgFjsQFNKkZBXmjJ0BvJicmkuUlLktY5ucqZ38sXjupsGloyJ8L+TJE4Iv312j1/eg7iJFVjlIyR5cJ4tZ+p6lNa1UpGZSDWyG3ZRywqdUgBVGLo1GyKtuDPjM7QMeO+qD4zHQEi/V4krbDXbL0kAk5PKAZCSDqAonx1ElA0FaNs9WlSzI18aCXeoi0SZ02U1Jz7kumH00xzEK8GcixOGjluFteB8hgZ0VI5Xmkp0RP/m9q3z9iS/xJx96ACVjnF/8Qw8pJUHQJOh5bB6zX3T0iisX7xeBU3mZKX2Y8sVQDiz/PhaXJbCXNXcOcqu3y9lMpdIKw7Si0LZzpc+d8nzwEXCndzebQpsW+DsqtncnwnUjYpPw+buq3PFkFSoOSNvQ7JZKeIdKY8v38otnWHKHp7GKUnO5SAdQyiGgBwOXF13e4zUv6PHUiQpx7GKEoi8c3IT8M4mkYPHiI6zP5OUh9kplzG3Z3L4WSC1yHZ77/RmjZ6ttyuD50M4RcA8FnDlGMskihglyCEfluYgi992FKOKHOJYsLNfYOaP4sZdHIJYAg3PVNoVSkm4vYW7JajMnresoJ1TKTsd6rDx0tY1GySUQQzFtVeRLuhg5ICPAHpIq5TR96a5GwK1Kd6fYBDUDtFsCdeacWMfEPioV4bkRjx6XfPTrDcAD6SKEyruIVLqRajnrWj5O2VHK6gmHQvFScVrB3CUNboTdEUOlox/yfeIdjHF48819vnLPgAeP2EkCkVb0EpEWfKWgSzI7zgwTUOmzGGMsi5eAnv1UpaDXMt3PJwuKM+0tUzYX9jE/h7o0sFOWLv4h/JghTKynEIrk0Ag5pnFF9jviRBBEkkT7LLV8gqhOgo9A4+zebgv/55cE7a49sFm1XiEF1rsaUyCvc8UNBxBl5i9NWR3R3YVUEWmyoLCeMoDnc/LKIE9b04rNpuzODsUA/ALcQ6xdeswaazOpolSM68ZEScxt91d54nAVXBekDS49YUqTY8uBlVgTWI3Kk0KiFE/yBohSjchQdWEi0Sp1VBKHIHS5bPeAF11nWbyfWBYPhMdAg5OIIvBLMrvQgqWQKPYDDNX2l6xLJcEogzQCZbDZTyMQRmAESCMKqVIKKgv2Ts+rLl/4pbnueU6kvOKZIVIckril/16KLHYp5skbLYkkRDGcXpR0+ike9p/TSAX9jt1W2XPLWcMSyLIPLFmzpAwHC+UPmC1JYuSLrX3fgrq8R8xI/Ykg33sn3704a74dangoti5RagTcpaH4uXuiEpRTAngqUTwn4tA5wQe/2CCIXKi5qTwhb01T5V2CyxJu6Gp/BolihoFelinlzQHy2uchLe5Q9yU//Koen7+jzoEz9uJLtKKXKFtlmKTJH4Rd4pOU8UZWkqxArgxwaQotLlONLrXBSHuOjBQW4LoUK2VMrsux1Dor29CKXrB5manLjD7qRgmRySebcMpLHdJqR1dpdm7s5MXC6o9/779tCAL1Xx96/PjFVbfoPC9PMR2y50ZturI+LsmKNRlGMfLfZ+/LbBxw+piOB86BO3LPRiaUPe780Sl0t3VQhsFd3qunKKZKd39woryZwXVCEhnygc/V+NCXx8H3QVVQyqGmDFVl0nEU5A3Obqk1rsiklhNRsnRMGQpQi1iisB2zi1ZI0sbfohdSSYMwmm0bQ84sSh56wiMWdvKAFgohbCntenHPsDEgyn0IxWtTEjWmVHNU8H5xQQ5p+HQLmuy99e7l/2YkB5CP+GO4e0znK0t5/F+p0pAi4agkTDYTLrjoxo279rz8q878/Lnxquq/elMzRkinVK2XaWQxojHLmknkjDUaBBTLihhieFl+b+R1vtSVWXuoDtwMaW+Zg6GQJKqkvVW+00NpIyplRiRJVimYsXeE60QcPCv5yNdq2Pkrlr3zzv3s7wuGxgvLMvMwzDr5ixxAI+DQw4X9WROEDTzTrKaR6ESRqFSLJw5veWmPT91WY99pF2SIEZJB4uKQ1otkxzpJIZCIEhzMsB9uTAoWOxsr+2wyBaI0II2VLZnulsb+DaNTf1ynDDu0Og+z+Xq1SMMSdzSGM+jSv5PG/n4pUrcm9+ptncryaeiJ4NWNldPjzuUXzFFVKzxcNURJ2b8sZxVHJUahqctB5hqWGGKQUgtXWZaUdawcfl4GuBTD+8gUGrzYKjDbWU2NgNtOZNXpo7UDldKozO9WMUrGqFSeJCrmc3fV2Xeo0N5SSOt95x00rHsCBaOvc24c0uDF8+EG5CFPvDSRytHC1qbIIoUfRg6XXBjw2hd0OfIRnzBRIBwS4dAXAidJ7TuyQDdzVMQQH+chsMl0uUCV0tZG2s+oyqwrTJHiF6ClBb7OZErJBy+D/Zs6c2uAvg6RChC6FNinNmWSkmAiBa1ewtzRHngtnLse95mbc+n0oFEXQwGlFCWQrgHqOmw9FFiu8+9KH3g0EbB+c8Mwa2evM9bOwJ4xdw50VWbyQnerLIjMtjiRGkcWQ/OVSnDdiKPnFH/yySYD6ZJN0Cq65tMVpFwDXfoew1H3M9/KKeescC1rYSt3rxQaXAzVpyTaIU5c/CTmZ9/Q5RO31Thy1gEVgXaIhEtfCFRSOBqyHGyOgDzz5g3gZBdc+p40Nj1vSDf6NZknrofY3KR/R0uBMGYIR2tcOJFOaXhGFl+rxctuXP7fjiSXHAljVcPlu6HRFDgmcRG4VHyF5wqKUbzrWTtlSVJm6vXYfDiRkz+XjHzpkeaGDPgjrJ0lUobBrQuJIocZ3Bnyt1MwD/ndpbu0LO46Ie1Q857PNDkz74NyUmtQpvLEDPne+fN1A6cRefZMQB/SpGt3pMv7Jo3M73kzhFQkscOWmYCffF2H3/mgRyuyAYExkkAraxsm2ecwtmMlFyYFyIv/TYOz9CpM5zcVj7JwfKQ0BYOb0rlLLUOTM/gzBJxDUnZE0vHNQb9mlUyfJ8IQCYlJPCQ+znjTJQ4dJpouSql8mRryskfckTWmfPbz8gcp/fcy+3dDnuj6zJ0Bu2DtYkprzt5pwX0B6BKTOzpldJ1LEytHdEmqZIwd54+OinD8iI9/3ufdH2sSaNfKE6FyeZI3FY9YYkO6O7/Yy7BeH+KmINCSVVgGfZayN2it8+xmsVWM3Qq84sT89Bu7HDzh8b7PWS0OikRIBtoGnDIhZ/CiACs7WaXJCCW70oK6kCzGpGwuiuDPko6x9uFQ4sfKmOxvZYDWGclRwkWGqW/C3jAC/hxnw//GGEEYCpZawpb9zk6A1JKJMbsZUqKHy2SHHtewdvnqE2s+VP48LUMerU1YW5hjRiSKKQWZ6Rbd5S0DVdl10CWpkoG5xOSyqA7MdXf+aGcNLq/AJ75WYyXIwG0B7kqrvR0xLE+GVp3MLivhOYd1Cd9lrZ1LlfQHQ1V9o1sv6pE6cSlRWqG1Q5w4jHkJb3hZj0/dVWOpo0BGoBURVo+PVhcOX3LPzOQ2D1QkhbL6lCzYNCmL54BOfXJtWMO0MiuVNXY1ybQ5wrZHllVDjrsSeZSZfg0+0+OYaFhtaxZWEmI0jusGuE6A7ZJe232SffXyH8s0NbCGuUevtlH9tCYgK7c9iUJnF8AxQ9q7sNLWBpXZcJoC3MlQgJkFmdk+N06Jvd1azOe/UeH+J6rokva2TQ2ZPBmuN8lbs0YZRax/ctbeUvbMLbRCoow2Q5T3HE2MRJnCF48TF0fHXH95yHc/r8df3eKBCkFIjBAE2kEJYbcgoZwaL1XxlTV5yQdXWY+Escc/b3SRpUIxaWe8DDG3EblnnR0bnZHYCFtbl0Ssy96jMnjY5mQNXnWalEp0TGxCnKeOGVaWDfPLmrFGwURlAOfXc/nqWfPH1z4+E6izTo8h50QWgBlthSoDu3BR0tfK4KQjxqRMHRNpUl1dkiSZYyJLEkVa98R3I46clHzw8w3Odzy737W0g96VoNixYSReWKO7y67ROuw9ehtK9JSYfc1Wi9kWjENd93b/HPtotz/ZUE/4ke/uctcTPkfmJIgIUGgkAyFLm0hZUGVnN7cxyxdcmc/zbGZ6HspsLuzzDMyZbMlWZvuzbPZ7JlOK7Goh6UrVhCOStyBUM3xIy2BPj70SgtkJxd4dgulpcBQuStgC/izdXfYqh8hmnXM2tEyMatE1DD4y3CcPOEuVb3l9dYm5VQb4EZDnM7JHnye59s5Y3MnGAasYJROc1Bb0vIgg0fzZ3za54+Gq7W2TjtXeUtquHVHMX8k/a7ayjH7XESYvH7PycVubwSxci2KP93L5bLmM1rab6cxRSTSxdFCxw4uuCfmpN7f5zT/zCOK03UVL4tRVkVqUPlta01Ee4ZBmCCl9PlUawJoVZUmZgl6aNMAU+QVgUrbO/Oq8stGMYiFj7VILW/q6DPIC2OuDMBVTiPSE2KFAHnFcwZmZUDgoVpp2s6VRyh+6rfOzUdG/NkDI+vPW12QF2Ndh79L+83I9eSJN3u1tt83WJYlSGvub6e50xnUeXMoY14v5+oMun7qjRhC66Xhoq71z9s4DW4bua5i7hOIc7Ij1j+lIYVORnSuDG4zKqgyHa8UTLZHaSpUM6HHsUK3FvOFFfW69o89XHlTWNkSCkETCoU8R6EMRAOZsLUulvKVVxlqEGajTzylBUerTTSWMEAXQs/NrRFHZKNNgpRjbV6pdH1EPw0AeSruuvSWCWECvr5lfNmgJzngDSAyTYwaDyTus1zsRz4j5IeFv1oK8FDWX5UnG2ENBZQZ2WXIsMv2b76duX+faO5+EWgDbUSNAVwW4nRTcnhux2jV8/q4aB85VrDQRtiRWZNpbUJogZdaAO5cs+fcVJaB/M7ZID6/B+mmlmvA1UmUk8TNaLy6lQmq7lWMUOOzZGPHdN3W5f59HK0zTr9rq8RBFtg+E3UlptKWtDCeb3MlxkNZ+qLSlrWDzTKqkCR9BXrRngT7cyZO1PY6u8qz3+K0cv/QDZin+fj+i1YnxKjHO7GQfTwQsNhJ6oWv3Simlk0cBvmZmM8MfZCjpUX5NKftHJk+GkyVFgFkAuwB35oMXwaXMB7ObIcYeCiizRE7ZRZG2U16T8Je3VHn3JxsY4Vjfe4i9KbT3kDW4FugMnZjSYvpN2Ht4Su+o/s6YfG0rm87S9lqjE4mW1hdXUhMlLlJpfvr1PQ6fdXn3pxyiuAC5RhAIidLZIIkU3OXWthzUqc4A0slv6XdKU/oZm5NmNoX9nSZdnU0OdHs+SWMAk0tVMUSKFujFe98KsPPsa/o8SaDVS5hvabSrcRZX+7RaAb0gBY0oHWgKNhm+Wtbe1gP0+sGmyQOQ8n7zmTzJPO6M2YuZeKn3PeKYyAzcakSejOxZr9K9Z6wGj3C9iMPnJZ+6rU6360JVrWXvvOa7tLqIIsGTfzfWPs8Co2+JgUbrU8i0eFGEpHVW71ECusyALtHSanEpHaIooVGPef2Le3zxziqHz6VJBTugmkQI+natSbOBKbhNAXaTgzp1S0iTP2QLTuakZKl7y94qBWkhT4aBboaC8SLAzcA91Lo2uqgU/DASmJcCYwMVT9AcEzQnwDkxt4FuW9HtnWFqoqCUwp4qB0Trb9w67J4MA1uWvkjRr1hmQDMkT0Q++65wT3JwZ8wtyoPZM+dED223IUuyRMrUMUmZ3HFigkhz6311vvZI1Q4Hl64F+Ah7Z0VeSojhYJhSCfEok48EmH/fLWfzPHVf3LVOs4eZk5JuRWJ1ty5kipYkQqISiRaKKHB42VUhL7u+z6kvuARapraGtNs74jAQIHVp2yohcgM7S/2o7ATnjkpaKy7IgY8QBdkbe06NSAPPIaCLIRdtbUZzuHNn6AClweZo/qAMcJ1WITSqkr1bfLZuruFcccmO1dXF4ItzLt8bJTFxkg0WL8br5jMIy1fKN2HwnMlJyz0pgD3kmpQCyvJs6TWsnQO9KBsddk6G9bfK0+9J6XmMlLZTR3oxtz/o8Y73j5EYp3BOpEIIafcBEkVafpjBy47P+uz9LSQxS1RUdlCGU/ZluaIhPy9GC7QoHJVck0vrjQvtEMcaz0v45R9tc+C0w+0PSLQnUsjaLxBpRZ+yoDIlWbKOJs+98HS1zT5vutpmOlykF4Cm1KCQnX/IPfJ89YYSKZS6n8rHTg+TwXCBmskHiMaxoRsoVrr1L+6ub11VP/kW1fXksSP1WvRTJJooVgUjlQqipI1K1imgWZtiH6oCHK0EVKXAcagyMANs2QIsJXJKAWVeUPUM4C5LFWcooWN7LU8vC97xwTHueqRuN+WRXloS6+JIQVWCL0k3uTJra7eH7mlzSD4kZ3gYUVbzLtVIw3RJ1xevRek4rnMsMzIozQFcI/XKPzMwPRXjO4b7H/dY7cuRpUbmjQFFxSG5RSfWXJ3fyrI0MgxqKM4Qa2RuXss9pBRKF355NTOlmebGzlFMkvLoZ8Ny19BOXJ44ev5HvnD7Ewecz90niRLBhmbCrmn7izMdnE86SudIy/IffEYGLy8/w1epKAWTQoz4yUPbYgxLE7mO5s52GFj3rsqBZVoKmz5PvIQPfmaMT3+jjqkoEMqiUzgIKYf6LYv+xm/SMZ9LlpKYXHvO13jgI0bVWkCMdNuPdvjodH6gSZnbGF3UqAiJ1IpEOMh+whte0ufpoy7vfK9D6MdDRr3RLgFpd1WWX09stsZgCgCmjGpIs5tpF4LJYrZMtqTluSYtD8ikfWYdivx1aX5LGS8lQK05ZkPTB7LH4j0BOI7k8r2abZsjghCc+blJ4kQQdWIqImC8YYuWIL0ysg+jMwvRsF6wuV6QOZrgKQO7cE7MmudDYM/8bpECvKS9hxhcJiUnpQzuBFmqPfnKAz7v/0KdQZJOwReZNZhmLYUZ0t7rpubLQB+5mIfkyhDY12c/kyIg857XZDRz67aoSTGylNmUJWdF2H0jtUyLs6Qm0Q6+q/nR13S55zGPrzxi7cLMG0cKtHEItG1Hy4tIRq3DVLrkUkoIFCYFdQnkEozOdHhaH57eC6CDMIWTUpYo+bErzb0sE4CBdNsXM8TmpLHBxgnBrukqm5ouYWRwLttp95KXQlP1DBU3QSmr/2ItEAkk6QmyO9SKNdbhegGmvXqHZ+WNAnsI4GV7sAxuUezspdbocD3sgY+yt0yKANOJ6AXw238xxtEzPsYpdkse0t6ZRBoC9gigWQfMOYQF5YdvJsiHJvPmLFUwfFF8Vdbja2tTtEwrDmWZxRUi0QjhIEPNBVsi/sOPt7jnF306g/TLaJl/rgSHgUk/Y1bcrQuQGwnoFNSG3GFRaUCZATtzVERak5Jr8xKAM6Bn5z+rM8kynWVMlSm8rLnz3SgSK00MqUQMNcdPaxaWjB3kf8mFTRAKE7cg6eI49qBFsUJE2SWZHnBdVH2t54evZe/hFLygYMVsjnQeYK4rUXTJBy/1JaZsnjP3kGtS2p039bwdJyJO4H98vMEj+yvW85YZcxfOiSuGZYkSw6xdLggbZe6UdigP3VyPr9cw+YhzMtxraHIm13kRVqm6UFgGz4NOLS3IE4kW6T1JpYrWXH1xxM99f4s/+NtxwiRlccijwgRFoDMtbmVKGeS5RBFFlhORJn10ic2z1rX0tUyZP0sw5Uye/nxYqohC0pkC6BnedFrtmgE8TgxhYrvptYHljqberFBpNAl1gnP1dS/DcZusLDzA0smHqVerdPoV2l0frZ18VK002CVKF0HEMLhHd0tbH+SFNVjamSu3CdeTKMP7MxbsnRS6vJzUGbqngWUl4av3+bzv4w1afdd6gKnnTdqka52TImtZLhgq6/DC6lxnBuFQWCby12IU0COsvQbvQ0AvQD7M2ulU2EySlJNAwtqIiVRIo229SqxoVjQ/8cYeDz3lc+u9CmoxeeEI9sTFWjIgiykKkBtsaSy5bWk977TCwLJ03uWeJXsK+SJLjJ4RwDCTl8gxXQXIP0d2PExpZbMSOk5gEMJKX7IaQEzEm65/Li9//pUsr3ZxDp5xmRz3+PLdLl+9LeYnXttix0xMxVP0A2foLNiryV7RxVIyLEuG9mYpLUNlzzvbW70M8NweLEmSLLGTbXhUgD0Z9rultQJlvq+6DSyljJFOzP7jDn/y0SaHl7x0bJdlbfsoC/YuNTwPgXw9eTIkTdZWYD6j4ZDJWjMC8hHdXTgLpbLUNa7COoVYRuebyopMqghjG8ojw+7JmJ99U4fj5x0OnREYpyywBEiXJAU5IyAnTQKpnN1MCeDpZ01Xsoy9s9S8oXg+NNItO1QlsAtBkVgtl/BSMLkoHbt+JOmamAt2tPjBl87zvTe3mZiGaCbB0YkH2iGJa3z1/q08dTzh518/4Dm7FHFi90IZ3QAWSt4lo3p7GNiiBOwC0GU/fJi1RcbKQ++XdLfS6evRZE4BdKUSpIzx/JjzLcFvv7fJp75ew7iqSMen0mQ99i7qvtem5Iei/Yy9R2TaUCau9O9GSHxYooy8t7YmpazDM0CXA9Cs88cyuBTZ8zT4TDQxGldaV6UVSH7p9xVzqwL8DIX2bnByJi/kSXqhZY+SdB4Jdv+eMtCFKMmS9CvpEqMPYaPUIpl66GLtIRs+vlgicrAyxXMML710wM9/X8CYP4Yn6ijhgfRwKp6kWvXPT9bFl1/93MlXrrS6HD81xmTVmgy6dKDzMKpkzpczlUUD7mhCp9i3pQzyUXtQiJLGVqNsnoI7Cy5FxtZ6yBKU0oLbdWJCNJ+7u85XH6iltSaZJShTBs/Yu9g1uDxvcN1iqpL+LqryRrT4Oidk3exY2SMesWAze87ookqvXGkoUzcl31pPCIRIEz+psyKlRBuVvicRxlYc+o7hFc8b8Nrn9/jQFyVhLGzaNmdxLMiNZKDTdVqUZcowe6uUcjOIWFmSavMsq5kDmyF2l9KkbF0M7cz1eUaepkQqpZXA/veCZl2we2aME6eb1GoN9kxVvzzh+OfD0EX96Z/8MTfeeONq1Zerzar+wYpcYeOUh1L2y+pS9F5efouiqTTZkAFUZMmLckKn7GVTbGhUepRrXpetQDME7jJzW7YuMpZS2jknidR85o4q/9+fj3HsvJ82MRQJHaSDkAJfQkXaQfZOOgYumy1eJHOK0XAqPahZAiYfcSdASpnPlLHTwYoBR7brW65Jggk5/Lo8bWC0ynJU8uWuFOkAehhKzpVX0XL5BNow2Uy45MKYU/OKQycdm/DJr8bsucytvmL8xei/Gb6ScylS/GB49Sq5jmuve1H639LiN7R6Dg+YcpSg6gm0dllYETQndqPcyX977Nix+y698gV2j56Z8RjXlSSzGl8bGvUEMPngmeLApaDN9VJW+joaLBasPfx82A4UZYkiRvZALzF3BvQC4GvBbTV3WinoJhxblLzvk3UOHPGhoXJJYhM7Vntn0iTvs2SkNn2Uuct3mZ3T0ezfCHMPvS5clPWSPZa19UjCp3BRZC4Vh9P3UoDWdtfhzBsXObPLFIvaTr0yhkQ7RIHh4t0RP/qGDg884XF8obRU5UEnGK2IkQyEDS5JR7iZ1JqzFqDJmTxzVMpMbdI+zTylj3VZ8mukJFukLG2ZJcpHzB7pPOObX1CGIDLMLUfMLUXUxgfISp8gKG1CtXfvXpRbZWZiwMr4oyRacH6pwXLLRet0H8r0C4ssZZSdeDkCblnoV1FySpR8BqCXnmc6W5Sel23BTGfLFOQyc0tEek/Ze7kj+KMPNbntkUpRJZhlLFNwK0m6Q3F5DHLhBClRZsG1TLIe8Ect8G/1Vu6uH6oqHPJ+M8liAZXLFFECfynTKYWxrWHaHn8tlH0tJAKFFpqkp3nJVQH/8m1t/vNfjLPSz4CdIkunckULYpmOdk4fSbOZRhSuihGl0RIi9c5LF7P97JbYclCn5baZVkdbgtGIfEpWtipkSaLyfHhjYLljOLeSEMWC65+/hUsvvZR2p18AfHxqA43m5lvPnfzoOx4/1f+lL94j2dios3OjpOrbvdwLXSRyrimSNyPgLuvqEpCHPPAhm3DYORll7UyLK5WkPyv53akskWm9yUAY/uyTDd778QadxE2zlWrINbGz+wrnZKioKjuYGZuXffAyU68LZgugkRX3WwJ3efhm5qKYEuDLbF7MTxHpQPpi5FvG3FoKhJb2+BpjA1AhEUIhhCbRCmJDw434qTd2mFtS/PGHmvQzWtUZm2dM7hBLkU7rsV+uSPCkTkvKqKp0IRTJnnKAaQ+mlMYGn3LkmKQgJ03+jB5HKewcSM+VVHzFNZcETE+d57anGhyfP/uO51zxlluPnThbALw5toVX/chv9KQSx5aWNmP6PWrboN0w6bZ8WdlmEVAWSY9h8KoM1GuAbYaBLSnAWwouhTQ2gBxi8CzATAoHRRVAz0BuHM3Thzz+5tYa7cgBTwEZsDPfWyJIpUl+L+RU1ia3bqayrGMpWHtNar7033wrSM/T9SMFR3mgabKdFUzpIiiclWxQkJDSgjkFubUvJVpohBC20lCYFOQGqQ1xpGlUYt76ii5fvtfj0YNWc5OBOX8EtEMsMla3PzNlySKyykFrJWaOyrpsnjK6FEVwZ6zsH5qLmHnq5cRitvGv6wqaNcVY3WfXhgmu2iPwKieO7bvv3/QuveEPCoAD/NpPfx/VWoVbv3oHDz34IOMNZUflmvIvTz9apqtHxj0UZa46/1k2x6Sst8U6uluMZCkzqVJ07SQ52OU6qXjHTXj8qMvP/c4ETxzyMa4sZEnO4LJkC5p8kM/oTg3rWYPryZShxE4pECsHVt+SXDHDT4d98VG70NZh2ExhloQrJIsdSmk9cWFIyysy4NsJWSIFeoIBYRCh4coLI971S6v81H8RPHE4DU5k6bPln9Eh1iJPzXtl+1CaFFAi1+FqRMLkBVg5oEs/K60YaIsxnaXwR63U9NhqA8tth4Mn6lxxxVXsuOD5hOEAsADPF4dd2yfZtX2anVsabJpxGWu4+G4xJzy3/krBY7nqbxTcZaDmwWHmhOR1I2bo5+XkzTCwk4LN1TBrW3BrOkbyp5+s8+g+n0SVWDvX3nYqSG4LDoG6LK0KVh6dO7gmOTEE9oJhvkn5yTCuR4BdRrjJan5KrD7M7GJEshRzDbP68GwybVafYkYmY1kL0e4cIRLJ1ZcE/IvXd2nIxKYITQw6AZOkj3F61yQaQgOBgVALIgOxFsQaYoPdfsUIkjytLor0uimKpBKdjakrSmGTckmsMXmNi61qLSW6NASRZrVjODWnWGw3Mc4siZjJj2vO4L7v4fv+4Q0zjSM7t47vjsIAzxN246ZsdEPJ+hut+FsDdLH23wixDmun72UJnsILHwa7LINdFIGl4yb0NLzvU3U++tU6QVo8VTC3k7O3TMFdbLm3zj47ZfYeZWxRAHs4mSNycK9F9t8nT0bZuyhPHdXhGoZLlkuzU/KhQdrKkozVhbFaXEuNMNJW8Rljn+tUrhhDkhg8YXjTy3rsO+Hwvk826EbYA1ZiVUp6OdGypMNF3peZNR+rVKJkBFJ2WTI2V0P/fXoUZOqHpxScpAwuTan2OzFEsUaEEMUJ1UqF2FSOOI53WMgo/4z5x920aTMHnrzvyzOTzQ9v2TSF52p81+ClQ+Xz0WilRoXyGIfCwhvpmVR6yOIbHuRemjSVsnS5BLYAd5m1s4ROjHJiOiG899N1/st7m8wvuXltd7nWxN5Fib3NmmzlcEnvsKMiGQF7+fUIaw/9THxzcGeoLhda5e8NvRQpo4+ydSllnzE2pZ9nY9+yGvJSN77WamirQjsCTrFxSvNrP97ix17foeHHtlzPxKDj4lHHltWNRhsINQw0BFoQGsvs67F5PMLmWkOsi8Ipy/YiL9MumLyoHrRNDoYou0eafj+iVh/H8Wof/to37vrypk2b1zI4gFQunl+5RRv5Otd1rrJbXBs8p9xFk3Wwr31t9fFwmetQpeAae7DkkojC9xbZxZI/z/S3Ze8c8BXDp2+p8fb3NDm/7NqgUo7q7uGMpSuKBE7GIKOe9/retxgC70j+Iq9J+Z/2CEcZvBTzFFIl5fR1U/dFtlMbYbfRFgWwhSk8cSEy1iZ9lKlpYFkc7RCFhk0TCb/2E22W2pIPf74BlRKDC9awuUESp28lWuAJO73KEan0yI55lvHMg0/yINOUfr/BluUiyWq1EZg0W5utbemhNoaK7+I66tFqtXLLKKcMGTTXXv8Sbr/9G3d1e8GDjiMti3sW5K5jRkA+MpNEFo3ATmmrjYzJVUlTFzXbuqj3VmWNnQaTI7IkCyilSFC+5vBph7/6fJ1zC14BbjFylxKRau7MOXHSKH+0U6cAebH1Xllvl62RvKyzjOlvTZXkeV6KpAAAMp5JREFUYP6mPy9532Xdua5HTsbWZS98eNybbVbO+jizx4LFE61Sva6IQ8mm6YS3fVeP3dtCCFMdbkb0uC40eVajHWoINESZLjcQp70Fcfa+Tl+n7B5rQZKMsHmm2U1W823rvuM0PIhiQxBpgsheqDqJHrzjtm/c9ZpXvXzoODqjB3bbti0IIWgt9lD07JDV9KQX2/Vlk6TsXMByl40csvmGdbco6++MxUvMXbYFRVpvImTZ+05bzzzNkbMO//Fd43z9oYptoBRq/Tsi7dRJd2OTa7X2esN8hv5NeXDRqEzJKitT6hi6MEb/vVjfJck5KmPqEoCL1+UxHoU9mLkjwojUD19blCWwEkFomSaJZMHgWuU5jcQo615g0APDS5874Ld+rsWvv2uMo+c8cEuXZinZY20Ou1JqJGFKvF76GVXqWOlUJsrUNpSpbpfZzyiSRVklJel75SvfGAt+kUAQasbGPDZt3orWeg1RrAH481/wIoRU4dGnztNbOUMQuQShHR5grcBszp8u2DkfwrO23FWUvG6RA730OpMyJaliwZ3kEkaJNJkjE5SrOT7v8Bt/OsZHb60RinQ3qpyxC1mSFfBkutsRw40M5dEV62UlR8GZA7jslIxo72e8DZ2kddg8TRCv0eJpiV5546fh3ZEztyWt1c8zm0UjhNRWm2thJYwQRS25ySxFnS37VrLEGipOzJtf3iPR8Ov/Y4wT834KclH6cOutTlayGG3n7bsINNZCtNeFQCf2PGgp8mC/SB5Z50Sl31WV8i/299sDEcT/v/a+PEqOqz73u/fW1sssPbs0o3Vk7Za827K8YIM3jP0IMTtxQiBAnARIcjBb3gPyAhiSPAIkcEgwBAjkYZY4tjEYJRhveI1XeZNly5IstIw0o5np6aWq7r3vj3tv1a3qHi22bNnk3XP6dHd19Vb91a+/3/b9gOm6xPxFAzj33HPDKI4PDvDu7gqo03HlE2xoxabdj5890hUBcJQFN4pRlsi8oSiZGpJZQJ4CO2u5CUm5uOLsqdVOHEvCwRyBbXsdfOTLnfjxfxYRUj16LWO108xlmrFMkzqOpiEt1CQBsuVsog3YrXh3PqqSzfYc3srhOpvRRD5tr8FgNQAQmQ0bmm3E4uKqboUmWVBi5GCJ1Bwcio9rsMexhOtwvOX8OhwGfPTLXdi21wNYrD5Vwsnt9A0FpDIwXBdqcQI4Ov/gmIgKzOhxfZJR5UCq3k19PyNTovh7ctwJACJwwlrg9HVzblm4YPjK8f3VgwOcuZ340jdvnJbo3nTzbT1nnHNsyIb7CApBDErsCcI8Y8VTUKe1JLbFJi1WXKT0JQG2SIBNLIAzwkEYx84Jho//Qyd+/B9FhCwH7hb+rQpzlIBPar0zjc/WbYJsJR9ggTx3aedgGmim0guHh+68g5mPi6cblTVMa090htPgLQ92bdVtyqJ6Mc1npVrOWP3pCaFcPAV6hjiWcKTAZa+uI+YEH/5yF3ZNuKnMFaRFUwxVMR9WqZHHkoATINZAdzTQOQccXYnJpEwmpwkq4ZiaFk3BTPuQUWgIPIL5gw7edg7lx53obpra9W/TvXPe0HJoKdqsmBOIsH7Fucf3PQK44Lo2wMycVDMmuZ5DydMx2I4CvZtML0ubEDLDnnIdOUk9iXYkCclabsoEuEvw9evL+OHPteWms3BuTU2SmHcuY9nWcieWOXUu28lD2PHvdvw6yWQScrj4zmYzW5I62bi3nQBKQoIgOe5thRDti6CQgmqn05J+SzqCaOqAJskgAodLvPH8Gt51yQwc4/VJ3uYSWxcOk6WR2uFsCqAugLogqEuCOidocqCpr0MORJwg5ETdFkTfR+JgKl4PMOrgoc3zHhmfaFzhsPbHti3A/+zdF+HEYyhfs3qR7OkCfI/Ddzk8L4bvxvCcWINcNRYkIGccrlZvNTqA6Twcu0DKLpiy4t9Jw4JIIydMAA7Bhl8V8P0NRTQpSwupM86kudbFVDRLTdIoibQaGmQSFszM28nTE8tS21zbBrTZoaVM9lDAbe2YoSmWVW+JmsDExfP7afUrSTKZzRZRfcuiSwvkUgt7SivTKSSDFAQel3jzeTW8el0dxASyZwO34ICI1CWJn5toi1Sxc67AXhMENUFQFwQNQdCwQR8r0Ddjgkasrpsx0IgkqnWJzp4ReccDLi8NvKHt8XVmO/DHrj0VUdT4flh9cimTO0qlQgjfU8C2dUlILo6dUo+Ua6e14+njKW0R1n5pQRUlAtQRIA5ww+0BrvxSJx5/1lecI0nmWCCnWcfSgd1ALNtkK3PtaLCaCjKYzSp5mR1aCq3agPqg4M6lMVvpiRUDh+1Y5mLiSUGS3aAsM9ciw8ehsptQvZHCjrBQFSMXJkKi76vwN8fqxRH+zwen8CEG3Hh7UVEHZs5OoUsizLcwIim6JJAYwwTl5EJx9Iio+m+W0Bc9cFfqkgqhOq4iK5QISMwb7pk57dSTv18sBLMe41kBXumdK7c8/m9fGh1dcMXM3idL5WIMIbnuHDGOmO0oZp3JBMhAAmbocJQJS2X2swEOAcIkiANcd1sBH/uHTjz+rGeBm7VacH3wiAkJEmsygwYoQx7UB6Ab7aIqyFvwWax1zhq3R/csZ4DMPtFO16f3swJMral7maS+DaCFjp6QvAMqVHWloBJEUM29lfOp0y0QYOlHDSVWLozwuT+eAiXADbcWLUeTWo6AlhwhWsww6TPTMVeTH9adQ4KoKE+swU6FATtJKCYBAY0BIoByneOi0WX7brnzsS+97/cumfVQzwpwABgaXg4ejWN3I8T0zDhGhwmqdQ9CC8YkWUoI3fiQWm9AWFEGrYBnAT4BewJwnjihhEkQBlx3uwL3o0+bRE4bamLADZ3QociIZ+YlIGzr3QJstN+WYDZnudsUD1poP3Qe3lavz1Z2ssKEiVh+sl9q6E2Xj1I1aWfNs6l+VZsikttCausNBViizy6iaYWxyiTkWL0owmf+aApSAj+5vaiC1yaaIq3bSUE5sUBuAA7rQKofSBIlPceJCjWmBW5ElQbUIyyaW4PjdWHFimMw2Nd1wGN7QIAHHXObW56dfN9371z9gw23P1x669mTePtrGohiV8VtbZpBLUtsDr/xphMAmNvadSIqJpCEDYnQdJrgxl8F+OiXO/HYsxa4QVtAnQCepjHvjEMJq+YEWeudzV4egIOnFNu6zjY+mDMge/fgEJfakrfQE1hRFaIfSEKHMmPFU46erU9Jy2WzVlyBluSsurmm+nEFeOiOIMVYVGRFCAAhx7GLInzuT6YgJPDTOwrqQxpgG0suiTK5ScF3/rjYVsKmMQwSCvDJ/ryJd1+0B68/vQHuDU8N9vL39vbOaz5vgD+2uSq6Opffu+744tQvb9lTmp7hAKbBqACQ9kaq0KBIKEtSLWCZJpmzZ0RbeNh0hQKCEdx0V4APfbETj2+xLXfqRKoDkFYJQv+tuQn3zlYL5vUFW2UgcpqD5niD5MBOMlY++xORrFW3H8xty7EQ6wGSRBzypbRZp9MCt3UyGCDn+Xc2+6mstRRC12nrMKEGvPoeFEJnNKWWhVPtivq2WaHAqoUR/vr9ypJvuDNQpSOmiSHharkDJtp/dwIV0kw6sRPjpYMIoAj8IjzaF48MkDevOH77zye23tLu1ZLFDvTgFz7/OVS6irXqxK47T1omL18+ZysrFaSWZYjgeSEcJwKnEeDEmKpJbNpGMV0DvCIH9Tm4Tv44zI57i5TO6K58A+5f3Ofjg3/ThSe2ecrTyMg82I3DZiKDArhD0ph3Ug6byBNLZKSICTIFV0mHO8nuQ6zuedPJnXatE/2ctMvb/J2mt40gkCqAyu7TpjzXum/e1/6nyctZp89r95pWN73ugWxXyw6zX8tJrFOrSXJFpk+0l5AY6BE4aWWMx551sG0H0+Ke+aoxoS663tWTHB4EHM5R9mMsGG5iZCBE3OSQDQ5XcnUSCqMjweC4PsZ2e1i2ZB0vdR77mY2Pir3HnfrOA0H4wBbcL7ioTm7B0qXzdgwPTD6zf/uvlsW8ikLAUfBDjDdj3LPRxQOPFwBKsHGLi2t/6WOwIvDa9U3MH+IIQ4l5QxznrGtgQUU5oaaAPTFyVGWuNtwd4IN/24lNW13dUZL/27I5uLlNkgylSehkC6lkQkPaWe9MWWyGnrTKrtmZS9Jm22ze50GjKbNsU/TEkjFuEyUBgLysMMlbc5iiLWWpDcURtqNJTeePgF2FKAVVowKNUKduflHvqT9DLLF0foS//9AkPvC3nfjPuwNwc8aZLyfUl6IUmN/Dcc7pDcwbjNEMgQWDHBevb2KgInDtL31s3OIClOD+x33c+0iAvQ0JEBcQAn6hEwPDxzyzfNWyxt6JKg62DkoSa9NbMbPvLlCncmZcf/RWN/opJGngkS0C3/xJGTfdV8TYblfpajAC6eiUb6yKeYkQKHTEOHVliPf+1gxOXhVheCCGayJIjvox/vMeH+//605s2uZCOrm/p5ZUvNVfqUNKPlHSxy5VjqaTlGiaa1VsZax3cm0VYGWF6UkbK592OBltFKV9ou9TgBGaiOETQjKPG52UVE8l+1mSphKSarGkc4vS4QEqSZZ2V5nKzqSnNCNzZ+nMWGoFSiHMVi/glrhpToMmp2RgSpdZkpRT/8ZwCZ7c7uD9f9OFX9ztqaypLkDxCDB3kOPk1SHe9/oaTlkZolDWxSqCQEYqDk8dAFRCEok9ewg23OvjGzeW8fDTFUzOlPCuN56GV520+Kxde6dvu/icNVi5dP4LAzgAROEMHLe4ZGLnhm9sf+ZrZ173qyl85ce92LnHT2Wh7JeSAoApq+Sq3jHkKAYcZ53QxNtfW8MbXtNAsSCxbZeDOx9w8cmvdeDJZ13dS2lf8nomNugVNfGpArengeIY8XoqE6piA90Gd4auUJsekFnBzRJaYgE7AbKqPafs8ABONcDN6MTMyUdlAvTs1GeZ2UaJTOvxE111kYKcyEwOI9NiaCuGJeJKKdhpkpDL1QmZrDMRyrp7BE886+ITXyvj7gc8bNvFUCxK/NarG3j7a+s4+/gGir6ECCl4TMGFoxJKWkHfjp66LofncOzYC3zp+wXc9sQo3v/ud9z21ovX//70TH1zZ7n4wi24WTf/6pfoLBcuu/Y/7v3B3337HtR4h1Y4RY6bGZee6+xVmGazuEpdzR+OcOW7Z3Diighfv6aA628PMLafKcuNvPWmbSy3bkGjyjL4JB23zbQylWMBOhH2aeHe7Sx6ar2z/DtnrW1wJ7etESVa3Sp7ArQCPHlfZg28opblnu2a2Nuyc43S/bIaj3bHFc0D3dZ7tBUNMtnnfH2+SAFOubLiFIBDMbaf4vrbA3z9BwWcuCLCh989g/lzYsi6TIHNHcTCBeeqLEBKqiiPjrSZ6BEhBJPVBqru+QgqZ79R8pkfLlvy6kPCrXNIewFwisvhd3beu2C+vPa8U+qvv/OhrdgfOxDQY400FxWmyF04EMRJvWcBgAqgAGx7zsGPbgjw2GYHN9wcYM9+qrpGzHliZ1cSwNuetaImDCn3zmub0My1bOPMWaMzYIUEkX7kTHKnTQ4+ddhIe1NBWm7MvizTlefkrZnJNOKWSd/bdSpSqP1Ja0RFmHi60L6Gfn4aD1epUZKk81UvZyYKA83BdXWilDo8LAHEEoP9Aq87p4F6HVi1PMb84RhiBpCc6EZnR4/bdhFxB4Lr5gtppi8brk8wVXXhFE7GkkUnX1voHr0XmDpU2B46wM88bgjbtj239V1vOPUDM7sfZE9vY5dM7OLo8Jged61+FiFVgUydE8xwR0kTSF2zAALEBIsXRvid367jlFURduxhuP4WX/E1O+hvp3ZhXesEgSmmyoJbJtftspGZoqqWbSlYbeDbzmPrvoeP40Nddo1JuzoVG9wgGsAkn9WUGZALHRdPHk+2qzcx4E6BTYAkGaRLa6El4qBrys376uwGkQKEEvAIuOs+D1+7poiTV0dY0McxOicC56b2xUEcuwhjD1HkIood1cSsk56GIgVuE4IE2DrWf/2Sk875wPi+Xdt6+0aPPMABYP78EfzbTbduW7Z67cbeO/Zegud2oFSkKOj6cEKUwxgLiSAmIBHFtHSUBy4lEEosHIzwqSum8cbzGvALEm+5sI57Hnaxc7+VurUDzUkUJd1OSFrb7SAb307CZMhZb+RCckBme2tloHWewQ7jtkExyZyWh450k+QBrNi4RinJPp6k6k3CR0dIkAE1kq52o59CDJhhAx/I9nQSpKXhBtgmimKV20LXkuuoS/oa+vdV7UAgBNg9QfG9nwZ4dJOLzdsdxJzgf//xFBb2x7oikCLmDsLIRbPpIYxdxFxRFALVa+B5EVw2g7lzKxgsrt64b+eGbf1zzz8sQ3FYAAeAzu5BrBid87mVq7YvHttff3Nc3Y8On8BhZoKWRMSJmhwNgSanaEjApxzHr63jijdM402vqcMVAGoEF54c4lsrIuy6i+n0kG3BLUsOk+RJrbeta8LaAL1da5rNgPIUZTZ6Ypvqds9vAfvzseR2XUlisTXKrXR8ckIkdMRYYstqJ/tYYEY+GaSKtARkRuBJWNREvbYOIyZW2+rez1U1mt9LAHjgcRc33esDRYImKK7ZUAQowR++YRrHL1GlG5wzNEIPtYaPZugg4kwBnKh+g4ADfjAMt7Dq+5Wh4z4HbDvsw8oO9wnf/vrfozx6TnNkwciNU889czbl9fkFX6LoA4Gnxk66jnKchACmQwKPz+DyC/fhH68cx4lLYziCKMYiJQplAc8luO0eH9Ums4pGco0MubCg6bFUDmWa0EmdyjS8lk3ypNuSE8RyLu1ICkmeR6xt9mRj0ubaJHTS+0TXp9vJn5ZsKm39N0kaMTL/MKTtSZvNspLEx0DLc22txTQZZBJCyfltnaR2tjcd3JotmEsqSpnE7hmGz3y9jAcfD1QmmqlJE49v8XHtLQX0dMZYPSoQxQVMVUuYnilgpu6i1nDQCB00I4YoZuDcA3F6b5+36Pg3To8/Ug06Ds2xtBc97GcA+NR7z8dJc0ntz95zcTg6rxPlQKK7TFHpYKiUKSplgp4y0BFIlJ0m3nHhOP7y96voKngQcYAo8sGFCyEYZBO48JQmTlwbJc2m1lFFln+n1CRJwyOVCMvSD5l5mVmtd54NAbNa9MSeJ8ixHsqtw7Lis2Z6rJvGLCO7LaN8BWSpCEjuOlcLbltkqznC3ifpxhc0cThtS55OhVBLUOC+hzz8/J5Az0JiKknDfESsgLFaJz569QC+fZOHMJao1nzsm1SX8UkP45MuJqY87J92UIv60Tf/snDnvqFa59Bbng9UD5+imLV6xSiEEPecvf7EdXf86lcFNS6bggulOBRzCc8jOHlVDe+/DHBIF6ozpodTNUMw/ZMEJY6OokjpQNasJBw8iZwgtbI2TcmkuW3LDcsKAS0WVAHSQqsFeHuTHSxpuW5DTWxH9KDYtqhJhnu3w7y09mlDU4yQn6E7QkBXrebFPBWdgObe5mQx+ipKZzw9KfI9njZVMVWCEsB0jaIxw3R5s6vDu2rwACUU1agDV13ThTAKMdJVwP6qh5gThBF09xjQWXKxbNUJ9Urf4nsyir0vFcC7ujpRrc58/OILzpbN6q4/3bPr6cB1HdSaQL2hRNznDxGsHi1jZoYAoo7AD+G5ETwnTPglJQKUC5y5NsT1twokjdGZEIb65Skxo0bys3RyYUGSdSyJZenbOZItPNxsR0o/2iHbUAP7NDC+IXK755FuwJfHvx01SfYz4De8m2T5dvp6Kg1vZrkmoE1OBGkBOnUuM9w8n8ZPwK/T9iR1LJVYv2n0U6vRILjtIQ/CLpBjHkB9OIyh6ABdLtDlMNx6TwErFzooFVTlYqMhUG9yCMGxZvXSxujyM/7Ocdy/8PyDJ3RmW8//1ABQLpfEQw/e+8nRRf2fP+2ErnD5wioGKwKBz1AIGDrLBGHkYWIqQLUWoN70EYYeotgF52kGi0mCS9Y3USjaVWjGcrfv0mHtAJ2z3K1FSVYRk3kLoJWSkNYDYwPxYPTjBfiYyW15gB2y9ePETNVOGyMs2gENZJGhHbn7IhUISrdTi5Zk+z0zF+Nk6m89U6O44Q5f1aKQlKIwxlB2CHpcid6Ao7/METgSU1WBekOi2ZQYm4jw+NYGarI3dAu9n7/9jrs+6fnFA1YLHmy9IIADwIpFY+GrTg2uKnd3/OWOyVCMz4xj516uRNGhkpfNiKERuYi0pxxzppWUmG6AVcpGKTxM7FsfJKhyWFNIldU1sTh4ZtiVzbtlWys9W0QktexZkt2OorTcsf8CDmVlgtoH3ifZhZDkth1NAbLx82wkJfeYSJM+9uRkk01s6eu0m5b1Pum1/tJS/YMxM+PG1O9TBo8SFJlE4Ej4rhqZxEwFJwWG+wXKnVUsGRVieF7vX+6Y7r/qvqdq4QvF5/OmKGbNXfI7uOWWf68H/qprh+eVPnXnxjswtidCb6cLSBW4F4KAczVklPOcZdDnWMStv7oE2ArcSdybZjOW2T7L1vBgy4W22YY0MpG8tQ3kAzibszqZEodlxpMIW26jHRZMcG7xb2i+nTqWJqMpUxpjtP+SmDfS6WcayETHwKkwpdpqbr1qeEibIsxvRmXWyUytufqAjkGVPugEWp/GDPtKJn3oJhWHYGQwRERqGBg+V84bXnxto1mrn3fuZS8Uni/cggPACSsW4ZRTVz81NGf1FYtHXyUCX/0KJvxmaoqTRAZIYnEAVVB29fUBqtPJEzKINNzbbmRI6QkynTqt9ERmxpK0WG6LY2cy7vn71klg7XLQ2wddB3VCSXLs9IDtNkJAhoi3JnSS8d+Z7ZZ2YTvKYqIlNnit/Y22YSYmri16Z4fEuy+pw5HpFySEaIWUFAUSqVKsEAKNkOLc9WeK1cuXXTFWP+spv7D0SEDzhVtwAOgYWIOf3b45vGD9uqvvf3BrkSwb+IKIxhF4Eq6byi6bhmRjhtQXFpAEeHYXA490gDtTTWjoiUzoSdrMIC1qopVikQO3frkW6442DiVmiYYQ/ZMkhUDtgUkOuqEtgrNO5QEeN2nsZL/cY0kAxUrdJ21uQsmkARIQKt6vrLmZDgGdzTShF+Mya1VaKkGSrGaa0RSUgsr0H9lxJBYOcaWUZX0JCZo4sEZIM+JqQlp1JsJUYxDVeuXP1528/upjm49wEqw5EtA8MhYcAC48Ywl2797D3/LbFz99wXlnTS8Y7kApiBB4Ap5rRIAE0vLMVO0qlBIcFNIqpkroCZDTOGnVFsyEBEnW8WxLS6xLJhVvAS2vUGWkkdsEU9Ibz8e7PNgiFpj1svs3821rZt+MbiHSYqx8qNAMskqurekQeYud6omnltseIy61fgqFhEs1H4LSEFdKs0pxNuJAGAPNEJiqRhCkhGWrTp9ee+JFT+/du+eIgRs4ggAHgEKhAIbp69euWftH69efMV6plOA5IQItGOQ66Zwd1bLG4XgCG59w8fCTPnhL17w1DS0D7jZWPENRcnUps/Jy0taiZ3BqBXYyYG53++CbD2nZMsn5j2F3gdkPpgpYxOLi+foTTVsEss6jSMGdTE4WqVOZ7CNSMCcngnE6NfCpoFhzTIjVyxtKS1mrW3Gp7oacKBGfiGCmwREUOnDmWWePr12z9o/G9k5dHwSFIwnJI0NRzOrq6gQA1GemvrN46XqHUfm5/btu6vfoHvg+T1Sw7LEkhHE8sLmI3btd5NvR8gpVDrUmDxsg5xsVbHBTtAA9pSAk61BaFj1f85UH/YHA+4KADbTSn3YOq53kMZ8/s42oqkHooapSz52ETIasCq3mQIWWKtT3TUm3OhGoUksQVDXJE5mo06aDrTRVIcqCc+FgaDDCcUtC3LNRN71QjkgyNLhSkpWSIOQSlbkVXHrx2WMXnLf+w2EYfWfhwpEjCUcAR9iCm1UodQIk/ObCY9Z9dOHihWO93VX0dlbhu3HaIUJUtVi1Ctx0RwHT3Ek7dnQdudL1zlvvNDxod+gkzcUkLRtvATfSqAnNWWSbcrRVNLFD9EdptY8i5kKGsP8BclbdSsmb6JawHMis5U7vZ6x57pIOtkoHWpUowYWn19FRjoBIaRRKTVOqEcWuKYK9MxRLVy0fu+DVZ3y00Yi/WenuelGO2YsCcADw/C6I6e9dXe5wrmyQgfGHt0ZoRkiaVz03Rig4vvmzIm5/qKiaI5LpaBSUEN2KZg1spel1GvtuA+6ctc4LabYT/TnUKkAb/Ic0g+cFrgwTOehJRrJ8PFNaS9KIigVyaYNctAM5ta7NNAgCLqi+sISfcw10SIYz10b4vYumEbAQiDkIJFwC+C7HyoUTOHlN37hXLFz56at/dnVvT+eLdvyOKEXJL7/vPdix84nvovv0j9z5yxt7mjObsGReA+VSHUJG+MZ1BXz2293YV/cAx7SkKYA7JJVgy/ZUphWD7cB9IDmGxHLn6UeeX9t0xQCGHFXjnXw05IoBEq1wKwir4uqKr+S2JpLepvtRAnrmpqqa1MFvtTuDDowbDkNgeIwgavaOIGk0RQgGLgSi2EWlIPGxy6chCMXV1/toxgV0FghG+2Jc8db502PR4J/Uwur//fAfvPNFPWYvKsABoLtvWew34ndVujYvKnaQf6Lk3oCggW/c6OKvvlXBnv0FVWObzLVMS2KV5ZZJWazdkGtrnrBZQoHtJJAzMXD92+cdzAzfJrNwY6jajpfCimffEwdMJCU5oORGGkOn6R2AKOFLpXdixfgJkJBzDus/nurnKU7OiaojJ1IPoNXTJLhQOoaNJkF/d4S/uHwaUlJ882c+mqGPtSsWNhYND777zad0/GhsR1N8+EU+Xi86wEsukQ/edc0dCwePuWt04e66S+f8y7c2TAaf/m4/xqpFoGDCggT2TB3TrG8SPOa2AXfSoGtbbtreah+oYycBbtsQySzoeQlX/u3s86n9xyFJp48JjBO7SpCkIv26yUxHqUky0kSn6SC15JpMpKho8pkIkUohmUgIqjXHqYqPqzg3RTzjolKM8dG31dBo/hrPjJ/WcMpD7yiyOdd+9V/G+RV/8LYX/fi96AAHgONOexPCPX/H3f7Gj7/6nRWX/+T+wX+erO0sukUGAV33IGJldjR4XSLVxeLdNrjzalUG6CmIyQGpiJ2at7DRaqXNz5pEKSQORNbtKN7hngsE2SeTtjtIKzafe29pnbBJBaKO31uCnQTqvn2MDC1Lys4ldFZZ6nIKob8bTU8OAlCu6InUEspESyXHsQMuGGoN9Vv+r3ctqm0e6/q917zm8h9P8+/Jr3/q7S8S2rLrJQE4AHgDH8RbP/yv8i3zNv3guNFFDovpVx94cmeXBFAXErwZIpYSkSSgcDJW22EyY72dtp06xnpngU31D56x2AYvFsgTbOeRacA2G1oPhOTnafFbfILDeF27vtzg28TJieYu6hwlWrZbghKSyAdSHWoEtRNEOs2pA48JbyEAJRRM1xYpWYkIQhA0ogKaTU+Fgr3Fk64/+of33+3+QE58CaTygSOEqoOvw25ZeyFr4x0/wqIz3okmZRsHB7p+vXLx0FkBrxaXDEzhonX7UC7U8MyOIlzXQdlRlWcek3AdwGXIWnJm0RXjcGaUp7KlsS0THHIW3Fh9O7Np83XYJw5IZrs5sUxs3dYgbN/GZn0O63O1TUgh/fztklXUdoqTz5tTuc0sbX9lWg+UhBMTD9vaN8mapq4pdBLJZHcZlXCcGMWggZsfFPjJnR2YnK6gWJiDoXlr9vX3d36wu6/53ZFBB5UFV7yUkHvpLLhZn/3Y7wIAdo9NfNt1HOe22++6qjb2i/5zTtiDH99Rxy/uE/CohO+oi8cUuPOREkJSR9P0TNrilAYYs642VlBCafe1oykk95Q8U8nXiRyy4TbPm+1Js1KV1rukzb4Z2QmRfr7keSSrmCupkZrQoUaKpJteyX4zCCGU6JMFcI8zMCpww10lXLNhLt726h6sOf6cscrIKR+JefxtElReMHaez3rJAW7WYH8FzUb9GxeedybZsUV+VkQ7+htRFZQylB2g4EgEDuA5Uo3BzFnUNLlDWpI7thOZrFwthzwIAmej2plqVbQCv4W0H2yRA98m9ge39FyymVfZ/jWs72Ksbnrfeor5V6J6Wpvxa+zDRnQsXU9+iKnUcW/luLqOizh2IESE3oEyzj7rrLHRZes+Wm/iG+VyxwtEy/NfRw3gAOAHBfB4+uoFS06O9++Z+sIz+26ulIsMnR5HyQcKrqIn1Hj22lGimgYkDqbVFZ/527Z+oNYfV1p/v3ZBk/4T1u+ZcS6TAiwloUDaIhzPi3u3K8Vt8RHMiWudfATZE98+IdIYuJ4XlcTMM18/fQ+h/w2pUa5ND5DUxkONDVfXlEq4jqErAlNeBy46vYRTTz934pyzTvtQGONbla7n3252JNZRBTgAMKcD9UbjO033nPGYTY/+7qXk87fecpdb8imKPtXWmyDmElGsmlJtXuokOn7E4tkkhzeZVM+lG3UzQK54Kf1dNaDNXzUsCmJb9wTMps45b3MNxLKon40+tdAM0nqdNE8DMPreCbjtz2W4tchXFNpFWfb7qroVKpSPkxwGNTYTAhJCEIQxRczVG3kOQxgRxDFHZejV0QXrZ64szznhaULdnxByZAunns866gAHgEIQiP964InrP/G+S72HNj5Vm9tNv/LAgw+RKGzSQsDAKMHEtEAj5KrzxBKtZMwWtrQpioGV1Klodc9EdDNWzLZmtlWGFTMwQLesqMyFXQzwdbAiqc8+UMUhsW60i5y0OLywrHXSGSNbTgxpQoN2M0SmktBUD+r30Z+BaSsupZJvNuFAU+RGCBA1KManGBgFAo+jUOgQQ/NPk37Hkj8uDhzzz1MTY2F338DRhhWAlwnAAeDE45fjoYcfCxcvHPwORfhLwRtv3Ldv7K/q03sx2Mcg5AR+epcPBpL08jFtuR2W1eg2UQ1bwowDSa2ykMjSF7TyUjsdmKpKacDo4IIZQWOe32rVD2Ml3F2/fUtoMisWajh4Vsgn+3r2uWorVwkBcE7ArcZk888gKAEzdSxQsXL1z6jq+imLcPODEaJmCT0dEksXD6J/qP9/lbsW/8AN5mwf27M3nDOy/GjDKVkvG4ADwNo1KwGg/u3v/WhTR/+Cq+YOdHs8rHx8oPwk8wt78N3bRtBFKYpEOZ4OI3AcLVTPLC1uklILVTwkkigAzzub0rR1pdsJdMkoVNVi0m9o8XgCmegAtuvKOVx826ny9GZWJBQZQOvZlXp7MrLE+m5q5o71uaG+KxcEsdBTgzU3N6pdgupICjPSEEraQ0gCzxVw3Gn84kGKgXIBrz17Me/qHfr0q07vv+q+h8f4slWnH20ItayXFcDNuvxtv43rrrueX3rpmz4xNTnu8Onr/vyam6o+jxmoL+A5FJ5L4Dka1EzPPNcgZywFOOcSUUxVaMtEG4gFbpEDuEUrUv6dOpVJ+Mzazy5XNZb+cCIoNs1Op88hC/ZcrDsrl5GCPgkJGoolYF41+aBCAHFMEMZKzUBIm/JJCEbgSFUnLjTFYUwiioCOEsN56wrwOtY13/qWc/+2r6/3Ez//2Q04/8L/cbRh03a9LAEOAJdeegmajWl4/r6Py46L6IIlK9aNzv05rQT1dVF9wil4Lhwn1f2jVFlzl1E4DgWjqsYijiWk5Kos2by4Za2FBXIAyhoCaW2Rqa1OTgqphyzZL2WT8yO0MiDPyl7ADNOlaT+qaQE0MXUDzIxjjZR5RZyg3gSiWJ2MjAIOA1ztZUsoS09iIIwIwlCiVOqLvULXnR967+tEla+8c+dk9PH9+6fR3X30woCHcBhfGetfr7kOjuN01Goz/7hzx/Y3jY+P0Vqtrn4EoiiK51L4HoPvEnh6AFszkti3P8ZkNUIYA5AyAXQUS4SxsvIGCCYT2TqFwZ64RjKhyey2dIRJOuXhECY8WN1KyeNM5qY+2KNMZHLfsaY7UP0vxQVBzCnCiCKK07Y0KZXlnpgi2LdfoBkJUELguhSeSxF4gOcCrqNA3mhwuF4Bw3MHxKKFI9eUy6X3RFE8ffwprz3akDik9bK14Pn11jddii1bnp0OguBPdu/aufnhRx5avXvPxOsfe+IpuI4Dh7lwGIXvEpQKEqVAoqMkUK1zbNohMDklUfBkwtNNOCXmCuTJtDqi/o4dk443FlymlXaApa2d494mZny4KxNNSax0ej+9SGTneipgO0wkw6gIkeCCACE0PVOd7IQAriPQWRKgJMITW5USVblIUAwYJBw4DoUHQEoBKWKMzFsE5nZde+za4zbOGRr6YqPZnB4enn/4X/AorVcMwAFg0aKFALD36We2/c/zL7hkwaZNm9DV3fv6+x96FLX6DApBgMCjKBclejpiDA/UMV6bxs7bA0xNFDDSC7gB4OnkRCME9s8QRFxZR4cCLpOpMyeJGtxLkOGwid4f0vuGx0ibfx8CFbcdw3wik1j0xKoU0TUgIp0zRBW4XYfDdYx6ARD5DupNB/UmhQTguQKuIzHUW4fj78ez42XMTBYw0qf+1RhV/3zEi9FbKWHuvJUYmTd67cLFSz5Yr9W2VnoHjzYEDnu9ogBu1uji+di3b9/W49au+lBQKHxn0eLFH9i65emz9uzaApdNo6MA9HY10d89ibufqmPTrwsY0gk116EoFRgKPkWxHGN31MDeMQeOoOjwha66U7xW0nTGZOaiubgN6AzVlZkrHAoTzBZLpU8x3DsT785odGt6wwRcRyDwIxSDCFI28dwYw7bdHmoNF0WfoKMo9SwkiWNGGli8QGLDHQEKPsAoByMcPd09WLFqKZYtG72VuaUv9vUverjRjLdWeo98Q/BLsV6RAAeA3t5eANgspdwMYOOtTM454bgVXxvfs2lJffJ+VumoYe/UDH5yd4B6w0exW6WVA5+iXHLQ302wdEEdZ5+yB5/9XhFPbe8BoRQOFXCZDgXmHLRkRjysiIlNYXIa3llYk9xrWTcsMJs9syn4XLgw9yJKOkNZ8MCL0NdVxVM76/jitX2IZySOGY7R2+3AYRSlgkCtyTDseXjdqVXc/WgZuycDdBYZzj7hBH7S8cs3OzR+7+iy03YC2PRSdywd6fWKBbhZ+gfYNLl/YpMQ4oLuTne4VDj2h2Lq+s57Hm+UNu8ooL9IUPAEfJei4DN0ligqnRwdRYm1w8DFp+zH57cVUQ0LKLtWXFhHaAAkQBY6+WFb9KReBanFVx8Oral22JQmX/SVypuZTKXNvWkuHa8k1aTu1FHOZ8GPwNgMbrg3wF2Pd2JFv8RkNYLvEgSeg1KToN50MDFVxuKBOpYtICBk6cwHLn/VFCPxZYsXL9jBGNv6Sge2Wa94gJvV1V2BEHJrd6Vne6NeWxX0nXXamvJZ//TeN22PH35gc09YH+8IfIJiQFAK1FBahTIX551UxY33zeCZ5woQRZLOoHRU6AxIQ4k2lcgotuY+T5ICRxura9W3mNdquSD7fKpj1Ga0HueqpxKgYMI0MUgEXozHtgEb7i2BSAcESp54eiZC4BN0lhii2EUo5093V9aPf/CdS50d+/w/WLNyyV0dncVJSCkIfdHEFl7y9ZvzTaBCdYQQEQQ7JuAP3xQUKkv/5uvXjH7sz97+6QvOPfXRkeGhB+cOdjT6enz4TgxKOJohxTHDAqNzQnChrKTDlCMauIDvEjhUWeWYm+yfzKb2NVptmWLABmfaFGHojZDZE8TeP8lamu3aOjtMwHGUVY85RSNUlyiiiLhSoHKYwJZdDE9sD+BRIIwEak0OQXwQWmqUO/sfHJp/6qOja9/x6U0Pf3O00tW9dOmioZu2/Hr3BCHkNwrcwG+QBbcXoUsBFQisPfnUs3Ac5/OOwz5/xmkrWU+l9BUq60unJp4+o159jlUbANh+hA0OJgVcpjKkBZ+gVKDwPYp6U2JiX4xmJBE4BNQHXJiCpzQFDj22j+lKPlXHkZYPqMo+ZYEJSeuugdRKG2EjQP1rGFriMAnfEwg8jmbIMDHlo9akCDx1eniuQBxTcA4QxCgFFAMlB4tHClgwMoevXL7w9kpXcROPaldQwrnjFHD6Rd+Vld4FtaP9e72Y6zcS4PZadsxCIDWScdiYfI/r+5Xdu9d+5mc/3+CVSs/wfePBCR3dpRMHKxEgpkAJQeB56Cgy9HY7CPwm9tVDPLvNRX9ZTZEDlKVnVBUvCaFCbcQBRNKAaxWDEVXqG0lAcKGntSlV13RfJQ9DofaNNUF3XQLGJMqFCD1dVTy5neCxZ3vgMg9KM4eAEYHAFahHXVg+Oog3vKrrv/buLtz/9kvmsuNOuiD0C/0f43FzYmig+2j/JC/p+o0HeH55QRcATAD4QwD41FduAoCzlq2Q569ZVr+M8pllVDawc8cWdJUIhip1rFi0H25hAg9v78P+ehndJQHXISgEDC6jqNY4ag0BR1c5mg4kUz4QuAq4YQTU6gJhxOE4FAQUjKq/AEqUlQ48NSt+usZQrRG4DuA4yi/oLIXg2I9/v9PBAxsDHLdYoBh0QMDD0PzV6Ks4CLqdJ4/tlz/8h/X4OSRuJeytR/uQH9X13w7g+fWJKy4AgFt37Rm/FcBtPI5HJybGxbXX7hNLFvUtWj7a8ZEO9wlcOq+Kmx+dwn0P1jG3U3X+d5VczOmT2DYW4tFtwGAnASUUnqv+MBhTAA18id4ujkYUYtNzEmGDotIpQSlRA3GhmzeYQMGLMdhbw60PMmzdGWCg4oAgRmcxgkOnsWOqAw22BsuWulh3yggcOXUVk5NbRpedTrsr3dRxnKclcBOhPUf70L4s1n97gJs1NNADADeZ+/WZPWDM767PPHdndTzE3IFa9FsX9P3pa073zusvExQDYN/ORzCvfzcaiLC/WcSI58JxYtTqIRzmorOkatAJBHo6GqjxSWwb9yDqAQoeA6MSgscIPApGBAj1UCpRjAyNY0Z42LGvgKGBbpx4ygno6QL6KjUUGs0NPQ8EXxjplu7xx6/EkkVzb603mvtHhl8eDQYvt/X/AT7LKpQGAGA/gOsAYOOm53DyWjzhEDkYuERAxnig/gzKRQLXAyhjaEYiuuySdZ/c/uvJ1xV8Ec3tdxBGagL0nMEGGrKKk47zgdDDSD9F4FE0I4k5fRR9FeI2edcNtH7PJwOfuMxl4NKB5xexaPFKFIsMgc9pv893f/Uj2EK8xfiLo32QXgHrNyOa/zJZ9//XPaCEDN7/6HNdvhPJ4QGGWp3Ac4E5fSEiWcPND7hA6GKwR1Xv1RpcAbyHkoYYngTk7nWnrTvaX+U3Zv0/CWXOBXOUvJkAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMjA6MjQ6MTErMDA6MDCZ1POlAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDIwOjI0OjExKzAwOjAw6IlLGQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 66337453
    {'hecke_orbit_code': 108086391090449603, 'n': 1, 'trace_an': 4}
  • id: 66337454
    {'hecke_orbit_code': 108086391090449603, 'n': 2, 'trace_an': 0}
  • id: 66337455
    {'hecke_orbit_code': 108086391090449603, 'n': 3, 'trace_an': 0}
  • id: 66337456
    {'hecke_orbit_code': 108086391090449603, 'n': 4, 'trace_an': 8}
  • id: 66337457
    {'hecke_orbit_code': 108086391090449603, 'n': 5, 'trace_an': -4}
  • id: 66337458
    {'hecke_orbit_code': 108086391090449603, 'n': 6, 'trace_an': 0}
  • id: 66337459
    {'hecke_orbit_code': 108086391090449603, 'n': 7, 'trace_an': 0}
  • id: 66337460
    {'hecke_orbit_code': 108086391090449603, 'n': 8, 'trace_an': 0}
  • id: 66337461
    {'hecke_orbit_code': 108086391090449603, 'n': 9, 'trace_an': 0}
  • id: 66337462
    {'hecke_orbit_code': 108086391090449603, 'n': 10, 'trace_an': 0}
  • id: 66337463
    {'hecke_orbit_code': 108086391090449603, 'n': 11, 'trace_an': 0}
  • id: 66337464
    {'hecke_orbit_code': 108086391090449603, 'n': 12, 'trace_an': 0}
  • id: 66337465
    {'hecke_orbit_code': 108086391090449603, 'n': 13, 'trace_an': 0}
  • id: 66337466
    {'hecke_orbit_code': 108086391090449603, 'n': 14, 'trace_an': -16}
  • id: 66337467
    {'hecke_orbit_code': 108086391090449603, 'n': 15, 'trace_an': 0}
  • id: 66337468
    {'hecke_orbit_code': 108086391090449603, 'n': 16, 'trace_an': 12}
  • id: 66337469
    {'hecke_orbit_code': 108086391090449603, 'n': 17, 'trace_an': 0}
  • id: 66337470
    {'hecke_orbit_code': 108086391090449603, 'n': 18, 'trace_an': 0}
  • id: 66337471
    {'hecke_orbit_code': 108086391090449603, 'n': 19, 'trace_an': 0}
  • id: 66337472
    {'hecke_orbit_code': 108086391090449603, 'n': 20, 'trace_an': -36}
  • id: 66337473
    {'hecke_orbit_code': 108086391090449603, 'n': 21, 'trace_an': 0}
  • id: 66337474
    {'hecke_orbit_code': 108086391090449603, 'n': 22, 'trace_an': 0}
  • id: 66337475
    {'hecke_orbit_code': 108086391090449603, 'n': 23, 'trace_an': -16}
  • id: 66337476
    {'hecke_orbit_code': 108086391090449603, 'n': 24, 'trace_an': 0}
  • id: 66337477
    {'hecke_orbit_code': 108086391090449603, 'n': 25, 'trace_an': 12}
  • id: 66337478
    {'hecke_orbit_code': 108086391090449603, 'n': 26, 'trace_an': 12}
  • id: 66337479
    {'hecke_orbit_code': 108086391090449603, 'n': 27, 'trace_an': 0}
  • id: 66337480
    {'hecke_orbit_code': 108086391090449603, 'n': 28, 'trace_an': 0}
  • id: 66337481
    {'hecke_orbit_code': 108086391090449603, 'n': 29, 'trace_an': 0}
  • id: 66337482
    {'hecke_orbit_code': 108086391090449603, 'n': 30, 'trace_an': 0}
  • id: 66337483
    {'hecke_orbit_code': 108086391090449603, 'n': 31, 'trace_an': -4}
  • id: 66337484
    {'hecke_orbit_code': 108086391090449603, 'n': 32, 'trace_an': 0}
  • id: 66337485
    {'hecke_orbit_code': 108086391090449603, 'n': 33, 'trace_an': 0}
  • id: 66337486
    {'hecke_orbit_code': 108086391090449603, 'n': 34, 'trace_an': -28}
  • id: 66337487
    {'hecke_orbit_code': 108086391090449603, 'n': 35, 'trace_an': 0}
  • id: 66337488
    {'hecke_orbit_code': 108086391090449603, 'n': 36, 'trace_an': 0}
  • id: 66337489
    {'hecke_orbit_code': 108086391090449603, 'n': 37, 'trace_an': -24}
  • id: 66337490
    {'hecke_orbit_code': 108086391090449603, 'n': 38, 'trace_an': 20}
  • id: 66337491
    {'hecke_orbit_code': 108086391090449603, 'n': 39, 'trace_an': 0}
  • id: 66337492
    {'hecke_orbit_code': 108086391090449603, 'n': 40, 'trace_an': 0}
  • id: 66337493
    {'hecke_orbit_code': 108086391090449603, 'n': 41, 'trace_an': 0}
  • id: 66337494
    {'hecke_orbit_code': 108086391090449603, 'n': 42, 'trace_an': 0}
  • id: 66337495
    {'hecke_orbit_code': 108086391090449603, 'n': 43, 'trace_an': 0}
  • id: 66337496
    {'hecke_orbit_code': 108086391090449603, 'n': 44, 'trace_an': 0}
  • id: 66337497
    {'hecke_orbit_code': 108086391090449603, 'n': 45, 'trace_an': 0}
  • id: 66337498
    {'hecke_orbit_code': 108086391090449603, 'n': 46, 'trace_an': 0}
  • id: 66337499
    {'hecke_orbit_code': 108086391090449603, 'n': 47, 'trace_an': -28}
  • id: 66337500
    {'hecke_orbit_code': 108086391090449603, 'n': 48, 'trace_an': 0}
  • id: 66337501
    {'hecke_orbit_code': 108086391090449603, 'n': 49, 'trace_an': -12}
  • id: 66337502
    {'hecke_orbit_code': 108086391090449603, 'n': 50, 'trace_an': 0}
  • id: 66337503
    {'hecke_orbit_code': 108086391090449603, 'n': 51, 'trace_an': 0}
  • id: 66337504
    {'hecke_orbit_code': 108086391090449603, 'n': 52, 'trace_an': 0}
  • id: 66337505
    {'hecke_orbit_code': 108086391090449603, 'n': 53, 'trace_an': -24}
  • id: 66337506
    {'hecke_orbit_code': 108086391090449603, 'n': 54, 'trace_an': 0}
  • id: 66337507
    {'hecke_orbit_code': 108086391090449603, 'n': 55, 'trace_an': 0}
  • id: 66337508
    {'hecke_orbit_code': 108086391090449603, 'n': 56, 'trace_an': -28}
  • id: 66337509
    {'hecke_orbit_code': 108086391090449603, 'n': 57, 'trace_an': 0}
  • id: 66337510
    {'hecke_orbit_code': 108086391090449603, 'n': 58, 'trace_an': -16}
  • id: 66337511
    {'hecke_orbit_code': 108086391090449603, 'n': 59, 'trace_an': 0}
  • id: 66337512
    {'hecke_orbit_code': 108086391090449603, 'n': 60, 'trace_an': 0}
  • id: 66337513
    {'hecke_orbit_code': 108086391090449603, 'n': 61, 'trace_an': 0}
  • id: 66337514
    {'hecke_orbit_code': 108086391090449603, 'n': 62, 'trace_an': 0}
  • id: 66337515
    {'hecke_orbit_code': 108086391090449603, 'n': 63, 'trace_an': 0}
  • id: 66337516
    {'hecke_orbit_code': 108086391090449603, 'n': 64, 'trace_an': 24}
  • id: 66337517
    {'hecke_orbit_code': 108086391090449603, 'n': 65, 'trace_an': 0}
  • id: 66337518
    {'hecke_orbit_code': 108086391090449603, 'n': 66, 'trace_an': 0}
  • id: 66337519
    {'hecke_orbit_code': 108086391090449603, 'n': 67, 'trace_an': -4}
  • id: 66337520
    {'hecke_orbit_code': 108086391090449603, 'n': 68, 'trace_an': 0}
  • id: 66337521
    {'hecke_orbit_code': 108086391090449603, 'n': 69, 'trace_an': 0}
  • id: 66337522
    {'hecke_orbit_code': 108086391090449603, 'n': 70, 'trace_an': 44}
  • id: 66337523
    {'hecke_orbit_code': 108086391090449603, 'n': 71, 'trace_an': 16}
  • id: 66337524
    {'hecke_orbit_code': 108086391090449603, 'n': 72, 'trace_an': 0}
  • id: 66337525
    {'hecke_orbit_code': 108086391090449603, 'n': 73, 'trace_an': 0}
  • id: 66337526
    {'hecke_orbit_code': 108086391090449603, 'n': 74, 'trace_an': 0}
  • id: 66337527
    {'hecke_orbit_code': 108086391090449603, 'n': 75, 'trace_an': 0}
  • id: 66337528
    {'hecke_orbit_code': 108086391090449603, 'n': 76, 'trace_an': 0}
  • id: 66337529
    {'hecke_orbit_code': 108086391090449603, 'n': 77, 'trace_an': 0}
  • id: 66337530
    {'hecke_orbit_code': 108086391090449603, 'n': 78, 'trace_an': 0}
  • id: 66337531
    {'hecke_orbit_code': 108086391090449603, 'n': 79, 'trace_an': 0}
  • id: 66337532
    {'hecke_orbit_code': 108086391090449603, 'n': 80, 'trace_an': -68}
  • id: 66337533
    {'hecke_orbit_code': 108086391090449603, 'n': 81, 'trace_an': 0}
  • id: 66337534
    {'hecke_orbit_code': 108086391090449603, 'n': 82, 'trace_an': -8}
  • id: 66337535
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  • id: 66337541
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  • id: 66337542
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