Newform data - 2664.2.a.l

Formats: - HTML - YAML - JSON - 2026-09-06T06:34:29.928278

• 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': 10656, 'analytic_conductor': 21.272147098469095, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [37, 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': [2664, 1, [1999, 1333, 2369, 1297], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [2, -4, 1]], [7, [-4, 4, 1]], [11, [-8, 0, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539595934632552, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2664.2.a.l', 'level': 2664, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'minimal_twist': '888.2.a.g', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(2+\\beta )q^{5}+(-2+2\\beta )q^{7}+2\\beta q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2664.2.a', 'trace_display': [0, 0, 4, -4], 'trace_hash': 2157679683428430963, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.039', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.005', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.252', 'prec': 10}, {'__RealLiteral__': 0, 'data': '10.011', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.782', 'prec': 14}, {'__RealLiteral__': 0, 'data': '70.485', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.036', 'prec': 7}, 'traces': [2, 0, 0, 0, 4, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 8, 0, 2, 0, 0, 0, 12, 0, -8, 0, 0, 0, 0, 0, -2, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 20, 0, 8, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 4, 0, 0, 0, -16, 0, 16, 0, 0, 0, 16, 0, 16, 0, 0, 0, -16, 0, 4, 0, 0, 0, 12, 0, 24, 0, 0, 0, -16, 0, 4, 0, 0, 0, -4, 0, -8, 0, 0, 0, -16, 0, -12, 0, 0, 0, 12, 0, 12, 0, 0, 0, -16, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 4, 0, 12, 0, 0, 0, 16, 0, 36, 0, 0, 0, 28, 0, 16, 0, 0, 0, -8, 0, 0, 0, 0, 0, -24, 0, -16, 0, 0, 0, 8, 0, -2, 0, 0, 0, -4, 0, 28, 0, 0, 0, 16, 0, 32, 0, 0, 0, -4, 0, -8, 0, 0, 0, -24, 0, 4, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -32, 0, -8, 0, 0, 0, 8, 0, 32, 0, 0, 0, -16, 0, 16, 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110, 0, 0, 0, 144, 0, -4, 0, 0, 0, -32, 0, -160, 0, 0, 0, -4, 0, 120, 0, 0, 0, 64, 0, -56, 0, 0, 0, -4, 0, -44, 0, 0, 0, -48, 0, 84, 0, 0, 0, -16, 0, -144, 0, 0, 0, 48, 0, 28, 0, 0, 0, 108, 0, 56, 0, 0, 0, -128, 0, 128, 0, 0, 0, 28, 0, -16, 0, 0, 0, 120, 0, -16, 0, 0, 0, -104, 0, -116, 0, 0, 0, 96, 0, -48, 0, 0, 0, -44, 0, -64, 0, 0, 0, -72, 0, -48, 0, 0, 0, 36, 0, -96, 0, 0, 0, 48, 0, 20, 0, 0, 0, -32, 0, -16, 0, 0, 0, 56, 0, 120, 0, 0, 0, -96, 0, 60, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 104, 0, 0, 0, -88, 0, 28, 0, 0, 0, 36, 0, -32, 0, 0, 0, -24, 0, -152, 0, 0, 0, -36, 0, -8, 0, 0, 0, 80, 0, -8, 0, 0, 0, 112, 0, 64, 0, 0, 0, -96, 0, 276, 0, 0, 0, 96, 0, -64, 0, 0, 0, 24, 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], [0, 0], [2, 1], [0, 0], [-2, 2], [0, 0], [0, 0], [0, 0], [0, 2], [0, 0], [-2, 2], [0, 0], [0, 0], [0, 0], [2, -1], [0, 0], [0, -4], [0, 0], [0, 0], [0, 0], [4, -1], [0, 0], [1, 4], [0, 0], [0, 0], [0, 0], [6, 3], [0, 0], [-4, 2], [0, 0], [0, 0], [0, 0], [0, 2], [0, 0], [-1, 0], [0, 0], [0, 0], [0, 0], [6, -4], [0, 0], [0, 2], [0, 0], [0, 0], [0, 0], [0, 4], [0, 0], [5, -8], [0, 0], [0, 0], [0, 0], [10, -2], [0, 0], [4, 4], [0, 0], [0, 0], [0, 0], [0, -3], [0, 0], [2, -8], [0, 0], [0, 0], [0, 0], [0, 2], [0, 0], [2, -2], [0, 0], [0, 0], [0, 0], [-8, 0], [0, 0], [8, 0], [0, 0], [0, 0], [0, 0], [8, -4], [0, 0], [8, -4], [0, 0], [0, 0], [0, 0], [-8, -6], [0, 0], [2, 0], [0, 0], [0, 0], [0, 0], [6, -5], [0, 0], [12, -8], [0, 0], [0, 0], [0, 0], [-8, -8], [0, 0], [2, 10], [0, 0], [0, 0], [0, 0]], 'ap': [[0, 0], [0, 0], [2, 1], [-2, 2], [0, 2], [-2, 2], [2, -1], [0, -4], [4, -1], [6, 3], [-4, 2], [-1, 0], [6, -4], [0, 2], [0, 4], [10, -2], [0, -3], [2, -8], [2, -2], [-8, 0], [8, 0], [8, -4], [-8, -6], [6, -5], [2, 10], [-2, 12], [-4, -4], [-8, 0], [-6, 2], [6, -1], [0, 8], [0, -1], [2, -6], [6, 6], [14, -4], [8, -8], [0, -4], [-8, -6], [4, 15], [-2, 6], [8, -1], [16, 0], [-12, -9], [2, -12], [-2, -8], [0, 6], [-4, 4], [8, -4], [-8, -15], [2, 0], [10, -8], [-4, 3], [6, 2], [16, -9], [6, 15], [-4, -6], [10, -4], [10, 14], [2, 10], [6, 15], [-12, 4], [-22, 2], [4, -12], [20, 3], [10, 8], [18, -2], [-4, 4], [-2, -8], [0, 13], [-28, -4], [-6, 13], [8, -6], [8, -16], [-28, -4], [-14, -6], [-12, -15], [26, -1], [16, -4], [-6, -17], [-26, -6], [28, 2], [-6, 10], [-12, -5], [0, 0], [-8, -14], [16, -12], [-30, -3], [-2, -14], [-6, -17], [-32, 2], [8, 9], [-20, -5], [-12, 16], [16, 10], [12, -2], [12, -15], [18, -10], [-14, -8], [-8, 2], [-14, -2], [-16, -14], [-10, 9], [0, -1], [14, 7], [18, -6], [-34, 8], [8, 7], [-34, -4], [-4, -12], [28, 0], [-24, 0], [6, -16], [-10, 10], [4, 0], [-20, -16], [-6, 8], [28, -4], [12, -15], [14, 9], [0, -30], [18, 12], [-36, 0], [2, -6], [8, 9], [18, 10], [-2, -7], [-6, -26], [-4, 22], [-28, 14], [-34, -8], [12, -12], [-32, -6], [14, -6], [10, -10], [18, -2], [14, 4], [-18, 16], [52, 0], [26, -15], [38, -3], [6, 6], [-10, -22], [0, 4], [0, -13], [18, -2], [-12, 14], [-18, 0], [-34, -9], [0, 26], [4, 22], [0, -12], [-30, 6], [20, 8], [28, 10], [-4, -14], [-4, -27], [-32, -12], [38, -12], [30, -16], [30, 6], [0, 11], [2, 26], [0, -14], [8, 30], [-30, 7], [-40, -14], [24, 18], [34, -12], [14, 4], [-18, -17], [32, -11], [-42, 0], [-4, -5], [-2, 8], [-10, 22], [18, -29], [4, 16], [-38, -8], [-24, -12], [14, 24], [-4, 16], [40, 15], [18, 22], [22, 3], [20, 10], [-34, -18], [-14, -12], [32, 12], [-18, 10], [-4, 40], [-10, -22], [0, 8], [36, -14], [-26, 2], [-56, 4], [34, -14], [-2, 12], [-18, 26], [-22, -24], [-4, 5], [14, 39], [40, 8], [10, -24], [-40, 0], [-16, -16], [6, -23], [34, 2], [40, -8], [-30, 5], [50, -10], [-30, 4], [14, -15], [-20, -36], [16, 10], [-36, 13], [-4, -16], [24, 12], [-2, -7], [52, -15], [18, -10], [12, 20], [-32, -24], [30, 12], [-36, -14], [-4, 10], [-10, 24], [2, 14], [16, 2], [-14, -22], [-24, -11], [12, -4], [44, 4], [-8, -32], [-22, 2], [-12, -4], [12, 14], [-18, -12], [-30, -27], [56, -5], [36, -17], [48, 3], [20, -10], [-30, 22], [42, 20], [18, 34], [4, 3], [24, -30], [32, 25], [26, 26], [36, -3], [6, -10], [-26, -34], [40, -6], [-6, -26], [-30, -11], [-20, -6], [24, 16], [2, -30], [10, 26], [54, 12], [-8, 34], [24, -1], [-42, 20], [50, -8], [46, -11], [-14, -14], [2, 18], [-22, 35], [-14, -30], [2, -19], [38, 20], [-8, -36], [34, 2], [-8, -32], [18, 20], [16, 12], [20, 36], [14, 36], [-14, 32], [-32, 25], [12, -2], [68, 4], [-32, 30], [26, 8], [-20, 44], [-16, 22], [-50, -18], [-50, 0], [8, -44], [2, -3], [2, 1], [8, 27], [-22, -6], [8, -18], [-52, 4], [-2, -48], [54, 2], [6, 14], [-32, -23], [-34, -18], [-62, -4], [10, 26], [26, -14], [-40, -17], [64, -6], [18, 14], [48, -15], [-18, -26], [-20, 40], [-30, 32], [-20, -28], [-6, 38], [-6, -34], [-10, 14], [-44, 17], [22, 2], [28, 2], [4, 13], [-66, -12], [22, 29], [28, -30], [-54, 8], [14, -23], [30, 6], [10, -10], [-14, 2], [-20, 40], [24, -46], [12, -25], [26, -8], [-24, -16], [2, 51], [24, -12], [0, -45], [16, 14], [24, -12], [12, -36], [-6, 8], [58, -26], [10, 38], [-18, -16], [34, -28], [6, 23], [-36, 4], [-18, -35], [-24, 17], [8, -24], [26, 38], [36, 23], [-10, -44], [-20, 4], [6, -8], [46, -17], [-16, -10], [-78, 8], [50, 6], [-36, -21], [16, 11], [-6, -20], [-4, 25], [26, 36], [62, 2], [4, 27], [-40, 37], [-44, 16], [6, -40], [34, -27], [48, -28], [46, 28], [-24, 21], [56, 24], [-60, 2], [14, -24], [16, 4], [-16, 48], [20, 8], [12, -36], [0, -32], [-14, 45], [-6, 44], [14, 55], [-38, 15], [-36, 2], [-30, 14], [12, 30], [0, 54], [48, -32], [66, -2], [-32, 0], [-36, 25], [-88, 0], [22, 1], [-24, -3], [40, 28], [80, 8], [-12, 28], [-12, 42], [14, -10], [-60, -8], [46, -32], [4, 52], [50, 23], [-52, -6], [18, 57], [-34, 25], [24, 20], [-2, 10], [-26, 16], [-46, -38], [-16, -6], [-28, 16], [-2, -4], [-24, 33], [-72, -16], [14, -10], [54, 2], [60, -28], [-58, -2], [-22, 18], [-36, -37], [18, -19], [10, 12], [28, -44], [0, 8], [14, 32], [18, -28], [-12, -18], [-18, 58], [-4, 4], [12, -7]], 'char_orbit_index': 1, 'field_poly': [-2, 0, 1], 'hecke_orbit_code': 49539595934632552, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '2664.2.a.l', 'level': 2664, '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': [4, 5, 8, 5, 4, 5, 6, 8], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [3, 4, 4, 4, 4, 4, 4, 4], 'ALdims_old': [47, 55, 47, 50, 56, 45, 49, 47], 'Nk2': 10656, 'analytic_conductor': 21.272147098469095, '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': [2664, 1, [1999, 1333, 2369, 1297], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 441, 'dim': 45, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 33557096, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 5, 5], 'label': '2664.2.a', 'level': 2664, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'mf_dim': 472, 'mf_new_dim': 45, 'num_forms': 20, 'plus_dim': 20, 'prim_orbit_index': 1, 'relative_dim': 45, 'sturm_bound': 912, 'trace_bound': 11, 'trace_display': [0, 0, -2, -4], 'traces': [45, 0, 0, 0, -2, 0, -4, 0, 0, 0, -2, 0, 2, 0, 0, 0, 6, 0, 0, 0, 0, 0, -16, 0, 57, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 4, 0, -8, 0, 0, 0, -8, 0, 73, 0, 0, 0, -18, 0, 16, 0, 0, 0, -8, 0, -2, 0, 0, 0, 24, 0, 6, 0, 0, 0, 28, 0, -28, 0, 0, 0, 16, 0, -4, 0, 0, 0, -16, 0, -28, 0, 0, 0, -6, 0, -28, 0, 0, 0, 20, 0, -10, 0, 0, 0, -2, 0, 28, 0, 0, 0, -34, 0, -6, 0, 0, 0, 10, 0, 20, 0, 0, 0, 4, 0, 19, 0, 0, 0, 12, 0, -4, 0, 0, 0, 44, 0, -36, 0, 0, 0, 28, 0, 14, 0, 0, 0, -12, 0, 24, 0, 0, 0, 30, 0, 36, 0, 0, 0, -30, 0, -6, 0, 0, 0, -16, 0, 16, 0, 0, 0, 76, 0, 41, 0, 0, 0, -30, 0, 32, 0, 0, 0, 24, 0, -66, 0, 0, 0, -8, 0, -16, 0, 0, 0, -8, 0, -18, 0, 0, 0, -2, 0, -20, 0, 0, 0, 72, 0, -8, 0, 0, 0, 44, 0, 30, 0, 0, 0, 76, 0, 36, 0, 0, 0, 16, 0, -4, 0, 0, 0, 8, 0, -26, 0, 0, 0, 20, 0, -48, 0, 0, 0, -16, 0, -26, 0, 0, 0, -30, 0, 40, 0, 0, 0, -24, 0, 24, 0, 0, 0, 2, 0, -12, 0, 0, 0, 28, 0, 48, 0, 0, 0, -22, 0, -60, 0, 0, 0, 62, 0, 110, 0, 0, 0, 86, 0, 44, 0, 0, 0, -8, 0, 71, 0, 0, 0, -26, 0, 4, 0, 0, 0, -78, 0, -4, 0, 0, 0, 90, 0, 70, 0, 0, 0, -28, 0, 10, 0, 0, 0, 58, 0, -144, 0, 0, 0, 8, 0, 22, 0, 0, 0, 12, 0, -84, 0, 0, 0, -44, 0, -52, 0, 0, 0, 40, 0, 4, 0, 0, 0, -16, 0, 38, 0, 0, 0, -70, 0, 132, 0, 0, 0, -132, 0, 49, 0, 0, 0, 48, 0, -76, 0, 0, 0, -44, 0, -42, 0, 0, 0, -106, 0, -34, 0, 0, 0, 44, 0, 20, 0, 0, 0, -70, 0, -20, 0, 0, 0, 60, 0, 46, 0, 0, 0, -38, 0, 16, 0, 0, 0, 0, 0, 14, 0, 0, 0, -72, 0, -140, 0, 0, 0, -50, 0, 122, 0, 0, 0, -86, 0, -108, 0, 0, 0, -96, 0, -68, 0, 0, 0, -16, 0, 16, 0, 0, 0, -14, 0, 64, 0, 0, 0, -94, 0, 4, 0, 0, 0, -64, 0, 10, 0, 0, 0, 22, 0, -104, 0, 0, 0, 44, 0, -28, 0, 0, 0, 100, 0, -84, 0, 0, 0, -80, 0, 8, 0, 0, 0, -136, 0, 88, 0, 0, 0, -22, 0, -88, 0, 0, 0, -60, 0, 48, 0, 0, 0, 12, 0, -188, 0, 0, 0, 70, 0, -200, 0, 0, 0, -38, 0, 84, 0, 0, 0, 110, 0, -48, 0, 0, 0, -144, 0, -61, 0, 0, 0, -64, 0, -8, 0, 0, 0, -246, 0, 94, 0, 0, 0, 32, 0, -24, 0, 0, 0, 16, 0, -44, 0, 0, 0, -38, 0, -156, 0, 0, 0, 32, 0, 96, 0, 0, 0, -122, 0, -102, 0, 0, 0, -28, 0, -106, 0, 0, 0, 180, 0, 64, 0, 0, 0, -96, 0, -44, 0, 0, 0, -24, 0, 48, 0, 0, 0, 132, 0, -48, 0, 0, 0, -142, 0, -20, 0, 0, 0, 144, 0, -182, 0, 0, 0, 60, 0, 42, 0, 0, 0, -52, 0, 13, 0, 0, 0, -18, 0, -100, 0, 0, 0, 232, 0, 54, 0, 0, 0, 28, 0, 108, 0, 0, 0, 92, 0, -36, 0, 0, 0, 130, 0, 140, 0, 0, 0, 26, 0, -22, 0, 0, 0, -40, 0, 94, 0, 0, 0, 36, 0, -200, 0, 0, 0, 82, 0, -24, 0, 0, 0, -72, 0, 76, 0, 0, 0, -116, 0, 4, 0, 0, 0, -104, 0, -120, 0, 0, 0, -38, 0, 0, 0, 0, 0, 180, 0, 18, 0, 0, 0, -112, 0, 10, 0, 0, 0, -4, 0, 56, 0, 0, 0, 158, 0, -12, 0, 0, 0, -16, 0, -38, 0, 0, 0, -126, 0, 186, 0, 0, 0, -140, 0, -136, 0, 0, 0, 92, 0, 100, 0, 0, 0, 164, 0, -90, 0, 0, 0, 200, 0, -36, 0, 0, 0, -168, 0, -158, 0, 0, 0, -74, 0, 176, 0, 0, 0, 120, 0, -24, 0, 0, 0, -96, 0, -48, 0, 0, 0, 232, 0, -56, 0, 0, 0, 34, 0, -92, 0, 0, 0, -82, 0, 144, 0, 0, 0, 158, 0, 42, 0, 0, 0, 16, 0, -120, 0, 0, 0, 2, 0, 88, 0, 0, 0, 108, 0, 30, 0, 0, 0, -150, 0, 238, 0, 0, 0, -56, 0, -71, 0, 0, 0, 74, 0, 60, 0, 0, 0, 30, 0, -82, 0, 0, 0, -142, 0, -68, 0, 0, 0, -76, 0, -36, 0, 0, 0, -68, 0, 8, 0, 0, 0, -164, 0, -22, 0, 0, 0, -72, 0, 164, 0, 0, 0, 140, 0, 44, 0, 0, 0, -44, 0, -100, 0, 0, 0, -16, 0, 72, 0, 0, 0, 52, 0, 72, 0, 0, 0, 168, 0, -132, 0, 0, 0, 156, 0, -104, 0, 0, 0, 156, 0, 7, 0, 0, 0, -32, 0, -356, 0, 0, 0, 156, 0, 32, 0, 0, 0, -2, 0, -12, 0, 0, 0, -232, 0, 8, 0, 0, 0, -104, 0, 38, 0, 0, 0, 44, 0, 99, 0, 0, 0, 148, 0, 96, 0, 0, 0, -34, 0, -228, 0, 0, 0, -78, 0, 160, 0, 0, 0, -244, 0, 96, 0, 0, 0, -92, 0, -100, 0, 0, 0, -40, 0, 166, 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: 981682
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '2664.2.a.l', 'source_level': 2664, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 7, 'target_is_minimal': True, 'target_label': '888.2.a.g', 'target_level': 888, 'twist_class_label': '888.2.a.g', 'twist_class_level': 888, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 981683
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '2664.2.a.l', 'source_level': 2664, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '1776.2.a.l', 'target_level': 1776, 'twist_class_label': '888.2.a.g', 'twist_class_level': 888, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 981684
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '2664.2.a.l', 'source_level': 2664, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '2664.2.a.l', 'target_level': 2664, 'twist_class_label': '888.2.a.g', 'twist_class_level': 888, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 981685
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '2664.2.a.l', 'source_level': 2664, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 35, 'target_is_minimal': False, 'target_label': '5328.2.a.bi', 'target_level': 5328, 'twist_class_label': '888.2.a.g', 'twist_class_level': 888, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 981686
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '2664.2.a.l', 'source_level': 2664, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 34, 'target_is_minimal': False, 'target_label': '7104.2.a.bh', 'target_level': 7104, 'twist_class_label': '888.2.a.g', 'twist_class_level': 888, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 981687
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '2664.2.a.l', 'source_level': 2664, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 40, 'target_is_minimal': False, 'target_label': '7104.2.a.bn', 'target_level': 7104, 'twist_class_label': '888.2.a.g', 'twist_class_level': 888, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2783775
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 49539595934632552, 'p': 2}
  • id: 2783776
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 49539595934632552, 'p': 3}
  • id: 2783777
    {'charpoly_factorization': [[[2, -4, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 5}
  • id: 2783778
    {'charpoly_factorization': [[[-4, 4, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 7}
  • id: 2783779
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 11}
  • id: 2783780
    {'charpoly_factorization': [[[-4, 4, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 13}
  • id: 2783781
    {'charpoly_factorization': [[[2, -4, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 17}
  • id: 2783782
    {'charpoly_factorization': [[[-32, 0, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 19}
  • id: 2783783
    {'charpoly_factorization': [[[14, -8, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 23}
  • id: 2783784
    {'charpoly_factorization': [[[18, -12, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 29}
  • id: 2783785
    {'charpoly_factorization': [[[8, 8, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 31}
  • id: 2783786
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 49539595934632552, 'p': 37}
  • id: 2783787
    {'charpoly_factorization': [[[4, -12, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 41}
  • id: 2783788
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 43}
  • id: 2783789
    {'charpoly_factorization': [[[-32, 0, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 47}
  • id: 2783790
    {'charpoly_factorization': [[[92, -20, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 53}
  • id: 2783791
    {'charpoly_factorization': [[[-18, 0, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 59}
  • id: 2783792
    {'charpoly_factorization': [[[-124, -4, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 61}
  • id: 2783793
    {'charpoly_factorization': [[[-4, -4, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 67}
  • id: 2783794
    {'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 49539595934632552, 'p': 71}
  • id: 2783795
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 49539595934632552, 'p': 73}
  • id: 2783796
    {'charpoly_factorization': [[[32, -16, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 79}
  • id: 2783797
    {'charpoly_factorization': [[[-8, 16, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 83}
  • id: 2783798
    {'charpoly_factorization': [[[-14, -12, 1], 1]], 'hecke_orbit_code': 49539595934632552, 'p': 89}
  • id: 2783799
    {'charpoly_factorization': [[[-196, -4, 1], 1]], 'hecke_orbit_code': 49539595934632552, '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': 12, 'label': '2664.2.a.l', 'level': 2664, 'portrait': 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0xZ7gR0BoJh4rHSF2yaNCy1DSfOK2qez6YZ2DYfsXF2yIbZkE2zIds2WnZsUlyx3aOumhw9McE3nvF57EDCU8djUtXlba9sc+vLLXU1y4HjUxw9ozl9IeVcBu5Di5YbrlrgF967wva5Sc5cmOLCSo2ltsdyW7LSTen2U3pDwf6jixw42b7iqcMLrzp4auGiI6cXvnzzG94d3fflP32hIfFt3f5GM/jycpuFoaWh+ZWHnzj88l/8rc/I77zp0Mv/xa2n9NLqPMudCZZWGyy1fZbamqU2LLdTltsxS6sp51bh8JJgfm6Vf/f9S9y4p8HJ8zOcudDkzKLm/JLl3GLCqYWUC92EqZkhr7imx0svB1/WCVTA+eUaZxc155YF/RCSxFDzDc1ayvRkggGOn0vo9GDnRo9mPcRaAcKnNzDs2BSytKrBOimy2oMwAYtluR2xdYNHd6AQyiJMyETNY8fmIat9wfEzmtRoZickrZog8CBJBP1Qcm5ZcnbJcn4lIQiG4CXcfGWPl18lmJ+os7QywcnzAWcW4fxiwvnlhNPLcHjJ8pIrF/ml719h09QEJ87NcG6pzsKKz2JbsryastKJWemkLHcti13BqQ6srPT4jX8ZJe++pXV/a9M/NPXJy+4XMv7ZOGniBxMvNFSe9/Y3lsE/+Wef5oaXXMcv/NS/+uU/+MTX/uUH/uSrl+w/uXrRwdNd+cqrO1y8xZCmGmsV1jr2xkpAAgIhLFpYfAlnluo8dEhyze5lLt8+pFEDT0t8T+H7mmZd0vAk/Z7H/mM17nzM5/iFkE4Ss/9kyMbZZd7+ihWuuaTLSy5vc2wxYbEvaARDjpyxtDtNrr5YsjpM2XtM0Wponj0Ol26xDKOUYeqjdcx0C/adDFA6xZMJ2oNBKLnx8j6DvuSaS1I6g5TjZ1rs2qRoNiJWQ8uGqT4rvQ6fuAueOJry1NEhO7csce1lHaZnIt56c5e/92rL7k0t0niKo6cnOXzK4+Q5w6kLMacupBy+IDixGvOiPQv8u+/vsnFqipPnZji/1GBh1WepLVlpp7S7Mau9lJWeZbkH5/uK5U7CDVcs8I+/84Kse+ai1aUju+I4ukkEl9frjemv3H3X5/jQhz/2QkNm3dvfSAb/yB9/isbkvOqtnPo3R46d+7n7Hj2qTi9GrESas33DNTvP8xs/vsB1uxucX5pmqd1guV1jue2x3NGsdGGlnbLSSVjuJiy24eSKQNeHvOyqZb771RG7NjRZ7U1wYbnOwrLPYluw3HYSYaVr6AwMndDSHybMTsTs2GgAQeBZTl3wEDJg5wbFri2WLRv6nF8JefJgixdfamnUV3jm0AytZkQUecxOGwZDuGLHkI/dNcVl2xPC0DI3KYnTAa1awLPHhtS9JtftSXjqSMT5JZ+tswG7NsOOTRFKxZxaBN+zCGHZuTFhuiXpDgJ6fY9O32O5o1hehaW2YbmdsthOOdeGpWHKjq09vvuWRV52uabmTXB2cYLFlRqLq5rljmClbVjtxqx0U1Z7lqUenOsqzq8m3HjZOd7340tcsrXJcrtFpxfQ7k8RiT2pX9/8y1dfvvmXjp1cTF/6yne80NBZc/sbBfADBw5Qq9fqZ06f2vHgw8+858TJM//h8NFTDCJJewCrA8GFvuJMN+ElF5/j1398mWsvrnNhZZql1QYrnRrLHY+VjmalA+2uYbWbsNJNWO5YzrcFZ3oWRI9bX9nmrTcaLt5cI4oarLRrrPZ82l3FSk/Q7QuGoSVKLGkKSloCD+qBZWrCsmEmRntDDp+NePpQgEmavPmmCO2t8ujeSS7aDF96KOGVVwdcaA+oaUWSxsxMQxJ7aC9haanBK67v8KUHWuzaDI8cDPFo8KYbDYkY8PThlKOnamjps3FaM90U1AOB7wuUgMRAFFuGEXT7ltWeods3rPYNSz3LIE3Zua3PW1/a5taXR2BaLK1OcmG57vR2R7PShtVuSruXsJqBe7kPZzuKhU7KS/ac530/foErd9ZZXJlipdug0wtY6fisdAStyS00Jzf9/OzGy/9027atJ8LhcHDpnsteaCgVt78xAD918iAbNsz7Bw4c+sH9+w+9/xsPPS4Wl3syii39oaE3tHQGsDqQXBhIznZjbrzkAr/2I0tcf0mNxdUpllabrHQCVrs+K13NalfQ7lravZTVbkK7Z1jpWS50BWfbhumpPm94SZebL0/YuVExUffodGsEngQUUSIxRmAs9IeAMEy3hhw8bTE24o5HmoT9Opds9XnZNX1is8o9j01x3aUeB8/1aK9M8NJr+nzl0YCNM5a9xy3/1zs67D0WsHFGcudjipddoVjudzhycobr9kTc8/SAJGxw85U+u7cPGSQ9bn9UQSo4fEoz0dBoAf2BxFhBaixxAkiD9g3tnqXZitm+OeTlV/R5w4sTZps1zi9PsrRad8DsalY6gnYP2t2Edi+h3Utp9y3Lfcm5rmCxm3DTZQv88o8scO2uGgurk6xm4O70fTo9TX8o6Q8FsamZnRdfbXfu3P0Tu3Zd8uGlpcXoyiv3vNCQAv6GAHwYxjIcDt/+8Dduu8Sa6H0PPvio1x0IBqFlECYMhoZeBvLuQNAeCC4MJGfaCTdfcYFf+ZEFXrzbZ7UzycJKi3avxmrXZ7WnaXcV7T50e5ZOP6HTS+kNDO2+ZaEnWOhBnIZce+mATTMpvb7lLS8NuWiTIUklWlqiGO5+ssaJCzU2Tyc8c7gGpsHl2xTXX2YIan0ePdhnYbHJVRc1mZha4YGnPG64tMZSf5WVlQk2bbI8tFfxD17b4+G9mm0bPBZ7bVaWZ7j+ij4PPJMyU5/iqkt6XGi3eei5Keq6yUsus+zZMQTZ48mjgg0zMecXYu550mMYK6SE1Fgu2hzxhpdGdHuKLdOG6y+FKGqw3G6w3A5Y7Xl0+op2T9LpQaef0uk5t6TTN6z2LcsDyemOoD0IedmeBX7ph1d4yaXu4mh363T6Ad2+R7ev6Q4U/aGkNxR0ek67X/uil8S1mv9T73rn2w81GvXPS6nNC42tFzyTORz2SZPh9x85+NhvnDl5cGbYX6RRV9gsUARLeR06C1AIi5QWKTUPH9jIz35Q846XLfM9r11m19aIc0sTBH6deuDTCDyadU23LmkNPCabmv4wpTdI2RgaBqGlOwxYXqhx6qQlSgynzyUEgfu7vrJoKegPFAKPpK950UWC3VssO7b2CdMutz2s2Hdomje+OOD6K1b4yG0WXzS4aGufpx5QbJ1SzE30qak6UexxoQvNmmbbRsET+yKu31Pn1dct8odfGOB7LV5/k8UL+nz1oYgvPdjkuaN1Lt7S4KLNKfPTEbvmYq6+KEUpg1buGDWCgPmpgCj26PZ9njnouRKFgaI3lPQG0Btaen333buDlN7A0hlYVgew0FecX7E0Jtv85JsX+D9eFnLtxU3OLk7Q7tXo5uAeKHrZ7+wPBf2hJYwhSeG++x/2tmzZ8Bv3P/Dw8ktvuuFf9Hr9P2w2Gy8ovl5QgJu0A5gfPnXy3l85tv/rM0nYRUlNzbdYIzJga4RIEYAQIIXrpFHSomSKLyVPHZzn8QNNDp65wDte3uPlVw6Zak2w3G7Q7NSYGPj0MtbpDSWDoaYfaoahZRgZotgSx5Ykdfco8bEGpBJ4WlDzBVMtwXQLNs0Ztm3sMzfd5suPwtcf95Bmkje+2ONFl3e577mYaDjBy14kaA8GXFhqcvMew9xUn7oOGCaKhU6MMoIX7dE0WiGP7a/xqusneem1XR7br8BO8uIrfX7obct85YmIOx9usvdEjR3zik0zdaZbDSZbUA/A0xYlwVjYe1SQpoI4EUQJhDHuO4Ypg9AwDA39oaEfGnoD6ISw0JNc6EJohrzuumXe/vI2f//1hiSZ4Nxik06vRnfg0xt49AYqY25BfygYDC390DAcpsSJO3YHj5zmzPnbZs4uJf/vd33Hq/Ryu//BmckXDuQvGMCjcIk05YcGS1/6lfbZr25oBQlM1hlGhqJaU+SWn0IIgZRk4AalLFpZPGWoe4LFfp2P37WNrz7e4ZVXr/Le161y9a4es1MNllYbdAcB/YGXAVu5eyQIY0mcCJLELfWudssFlVpDzYdG3TDTitm6oU9Cj4OnYz5xT40jJ5tMBXVuuFJz8zUdHjrQ5o5vTHDTpTV2bO7zsbsESgRMtGJWeyHGghIwP9Gn0/UxSZ23v/ICH/9Sg93na7z1pj5RvMQ9T88SpzVuvHIDb72hw6Xb23z1sT5PnWzw5FGfbTOSmQlBIxD4nrsIpQAhLMaCMbYAXBRbwthdyMMIBhF0h4KVULDcBaGHXHfZKu99wyqvvDJldqLOSqdBu1un2w/oDT16g3Il6IeSwRD62YUzHGYXT+SC3TBWnFlaZf9H79xwvmd/5Yfe+Qp79vzKH2zeOP3/DYCnC7/KgdMv4vyx23/ApJ33Jd2H50hXaTZaQIySOmNqHIELiRACISRKaqRMUUpky7PBU5ZAW+pasDJULLWn+eTdTR58psfLrl3lva9f5brdbWbTOkkS0B/W6A08BqEmihVxIklSSWoExgqXBRWWwDc0agmBH+F7IaeXQr7wiOTQKZ+jp6ZRJmD3Zp8rdilefHkHFSzw9OEWW6caXHUxbJpfYbkzwdVbJYmxfPnhgLAvmWomvOnGIZ+/J+bEuRaXXeJxdnXIs0c8tm+c5tpdC9z3VJcHnhWEkc/lu2a4fHvA5du6HD67zKHT8PC+BgePNGloQaAlzcBS80BKd8isdRdrkkKUQJQKeqGgMxR0YohMgrFDXnJph/e+ocMrr07ZPBMwHE6y1K7R7QX0hj79gaY3VPSHikEoGAwlg9D1jQ7D1Hn8oWEYWgZx9hhBmCgurLb54z/72oalc+ffNzvZSD760c995DOPXeBPf/0f/d0F+L/6lf+OnLuN+Y79+yI+/Zur7XNTxoDWmpofY43T3UJYpFAIgWNrKVBKoJXKHg1apXha4GuD71kCz9LwU6Zqgm7osdKZ5lNfn+CuJ4dsnO7znlvaXL59yHDQ46pdlu2bFGHskaZlml9gkdLg6ZTj5y1HzwlWB4bP3tfg9OI0NvKYrim2zGp2btJcvBWu2t3ByEU+8Pkmy8uT3HS55qrdbb76pEAkHhumJc1GQj/2kVaClSjt0x4Kzi8LrrQNbnlxl/sfq7Nlzuemq2b4R29b5MNf6vLw/ia9ocfSaotdW+pctrnPjXu6vPNVXc4sL/PZ+wKW+gHHz3qcPu3jKYGUEoHAWEtqIDaWNDFMz8Zcc2WfMIy5fHvIu24J2TCpmGkFxHGNsws1+gOffuhWuUEBbOnAHQqGIW4lCFOGkSGMUieBYluAexALBrFACM2p8x1+71MPze26aONv3nDNhvhPf/3Ff7Jy8j8yvf1f/90D+D//1U/w0je8R/zAT+l3b249/fvf/conG1fsrNMd1AijTBeQAzzT2tJJBSklSkq0EmiVPWqBp1N8LfA9Q82z1GNLI7JM1lKm64J+JOlGTY6eavJrfzIDJkEkCS++ps+uTRFJAsYarHVJHCkEUgm057P/hM/eQzWaNU3Ll8w1BPOzkg0zmi3zip2bUy7buUoqlvhvn57g+IkpbtrjcflFKYOkyzeeDpiqe8xOWqZaEY26k0LGSNpDxXLPstROaffqvOKqVR7Z22ffCcXURI0br5ziR96+xG99Bh471KQ3sKx2NeeXJ9g012DD9JCds0P+1bv7TDTaPHUU9p+UeJ5FKYsQBrDufxaSBC7alPKyqxPS2CNOAqxtMIw8zi36DEK3og0jVci3QSQYhoJh5Fg7jFxWNgwNYWQYxiZ7zxbyZBAL+rGgGws6iVst4kHE5tXHp269cfr3//uF88nx5Z/75MLReTu/68f+7gD8P//3P+FFFzXVbV/+o1tPnF79yB89sFp7ct8Ev/bjbS7bEdPv15GiljG3j5QWJT2UsiipUEplelviaac5fU8RepIwMgRRShhb6rEhjA1RZJlIIIwNYQJRIhjGkjANiNMa+w41eXIfpNbioO20sSfBV67moxXAVZthog6TTcl0SzE7pdkwAzs2hWyeXyW2y/y3T09y+Mgk11+suHibZPe2Fb72bML5pUlevEsyPWGo+QMCGWCVIEklwlqSNGKlV+P8ksf1l9d50Z4u9z1WY+O0oFFrcf0ew0/eusRvfsbw7OkWqz3DalexsKKZm2oyPVFnemKSiUbMfDNm5/URgZfg6QSlUqRwpGFxF1UcKy4saOJEESeKKFaEcfYYScJYEkaSYSQJI+EC1EgQRpYwcsc1jFKiKNP0sXt/GMEwFgxj6MeCTiRYjSW9KMUMB7zoohX+448v8JorzjYWFyY/QvoBc3Tlyk/vffx/pFdc/71/+wH+0Nf/iB2bpbr38XPvOnvqwh8+u/94Tbemue1hhafhl360zRXbUndSlHHgVia7eyhp8ZTF0wpPW7xI4nvCnQRPEPqKKHZAj2NLlKTOFUkq9xSS1JKmhtTg9LahAHcuhbQEz4NAC2qBoBFImg3FZEMyPSnYMJOwc1OfVnOVT98fcc/TM6wuTnDNDsXOzR6Xbh+SilW+/HCDpqeZn1a0GkOePgzPHdFcvd3SDxXXXhpzzW7LubMpCys+g2GDN9/Q5d6nBhw8rWjWJYE/wdUXG37pB5a4+9kBn797jqWOZeeGlJW2ZmpCMdn0aDU8mnVLLTAEviHQKVo5qSWzYN1aXMLKCBIjSVJBkgjiRBIlgjiWhLFzXqJYEMWWKIIwToliQ1QhjjCu3h24Bzm4Y0k7hn4YI+M+11+0wi/+yBJvvgFWO1Msr56oDe3UR8+sNH70Va/77iO9yN7X9IX9n8HXCw/w47F88Ej/e06dOP079z5+oeZrj5oV9GyTzz0AUah412s6vPt1PaYnUrrSoGWa6Wynhz2t8WJNoBVDzzFN6EkiXxDFwp2cWBEnEMXSOQhJafslqSFNnbuQ2swpyQ5r7s4o6WSPrwWBL6kFkmZdMNGwTLUMG2dC5qe7JHaVT94r+fCXZtlQq3HNDsGOzR4XbTHs3LzCp79hWV6ucfkmxfQEtBox549JLqwE+LsgjAXzk5KpKTh41LLSMZxbrHHpRTVe++IuX/h6jdkWBL6PklNcvVvwo2+9gCcv8Ln7pnnudI2NnZgNUwmTTUWrrmjUJfVAE/gQeKC1c5hkHqznIMdd2KmBNBUkKRnQIU4tUQJx7Cy/ODZE+WNsMtsxd2UyCzJxersXCzqJpBsbomHEZNDhu9+8xLtv6fG666DTazGMApRSiMGzNRvHf7R4bu8+7QXXAvHfWoC//w8+Q9ozP3DP40//+oPPnJqI0ga+sjQVGE8zoMWXH1Z849kaZ1eW+L/e2Wd6IiEManT6NbTy8bSHpz38KCXyNH7kpEkUu1S6YxzhmChjpSSBOIU0dU6CMS7gMsbmPZwZuB3AXeAq8LQDSC2ARs3QqidMtRLmpwbMTa9y/76Ij95RZ//RKS6a9Ni9CbZt8tm2ES7b0aGfdHho7wR15TE/rZhqwVQrZHoywfc1QriLaxD6LHdiVvuWdi/hworPjk0tXnr5Be54uM/+0xM0ghhP+Qgxye6tiu97/SIvuewCH72jxUPPTLHU02yYSJhqJDRqknpNEXiCwJN4notVlCKzDx3KLa6H1RgKoCepyVa3zFpMDEnqwJ3EECW2vMfOlRkmjlT6mdbuJjAcJphkwGy9w0/8vWX+7+/t0Qh8Ot0GwzAgSjSpkbQaKdvtk6yeHGyY3fCy9x597s8/vOvKd/7tA/jKahul5A//3of+/FeO7D8327B1WnUHNCVBCYESmr5sshpqfv1PPfYeXuHtr+pxy3VdNs5FdDt1BmGA7yUEvkcYaQLf2Xs5wONYEiVu2Y2TzNNOyaw/MuaWGEsJ7iw56pgbtHIJE9+z1HxDvZbQqiVMT4Rsnutwvt3n/Z/1+PIjMyyvNLlkXrBjg2DrBp9tGwS7tgzR/iofv0dz5GSTPRsl0y3JZDNFypDTC5ZAS6QAawVRrNm5ocPDpHT6ipWO5fxynT3barzzljZ/9lWfY+cDPB0jhIexTeJE8uJdK+z83g5ffqzPx748w6PHmmydFsw1U5q1lJovCDyB77lYRStc4CxFkQu2uIvMWJzTkjrA5yBPUifpHNghSl2tS5QnjxLBIIFuIukmMIgMaT9k21yXV1+/wne9qs9bbjBo0WBltU4Y+0SxRxR7JIlkYHyEbTDodmbbteH7Ln/RO1W/3/lgo/G/pqb8fwnAo2EHz/P+0VfuuvdXDh3cu2F+0tIMLWECcSrwElDCpcB9KejKGu1I8/Gv1bj7qS7XX97he1/f5603tZmdChgMAwahT+B5RIlHFOsiUEoSRZxKkkQSp4IkkaSpIDWi1NpGUKgSS+GzK+VcB08ZfM8Q+Cn1IKFVD5mb6jGIB3z1acsnvjbJQ89MMe17XL3VsnlGsnHWZ8u8ZNvGiIu3rvDUsQGfvXeeSaWZnxRMNAUTjZh2P+VL36jR8p07ZCwMQs3bXxbyxQddTUy7Z7iwotm2ocU7Xt7joX1d9h70aQYJSgoHctNgGDmt/32vbbNn8wU+fneHB56b4sRKnU0TgsmapeEbatrge6CVQEmyBJn73nnZg8mkmjHlCpdkQHcE4c5VnGbATgXDRNBPBL0UF/NEEc16n3e8cZnveX2HF+9J2TjtMRg26fRc2UAYe8SxLs5ZnEjCyGWVTy4c2tCLH/yVq6692Swstj80P/fXP1burxXgS0urnLzQ4/yK+f5nn773P919112z3fYqjcAxiJJuqVMZc3qJcy4CCV3p0fcUpzoBZx5s8ODTPf7smi7veu2AN71syMyUTxQGhIljgzjRxNlBS1JFkmYJm7QEuLEZc5uypiy3IZV0dRxaG3wvJfBj6kFEqz4gZcBXHpP8yV1TPHN0EhEHXDRt2TxlmZtSzM/4bJqTbJmP2bGpw8mFLr/7+SZJWGfbNsFUSzPRhIlGjPAiOoMmUy2LEAJrIU4kM4EiMQnd2KfbT1npKE4v1Lny4hY/9p2rvO9/BBxfaKJVnF0YmiSpMYwkm2YDXnxJh2su7vHs8dN84mt17nh0ijPtOs1A0fKh6Vl8bfEUaOmOuRCj1XUGsMZddKkRpBaSVDj/PBVEqUsSDVLBIIVBYkmSBBOHzNYGvPl1q7zndV1eeXXMZN0jipustAPC2CdOdMbcKjtXiijJDQHFMFIsrbY599DXNvh+/J9uuOnGxEbH/ihMp6nVp/5mArzbH7BjY/O77rz7kd/61F/cPkHSQWcWn+85XSClRSUWJQRaWnRq8aTAV4Z6Kugrn36iuRDW+NyDTe55ps+Nd/b4J3+vyxU7OmyYUkw0NFHsEyUeSVKCPM0BbiTGSqx1ksAWAWWW6lfWBbE6IfATPBXRGcQsdGL+66drHL0wzWN7p7DGZ7Yu2DBnmZsUzE4oZqc8Ns5KNs0mbJ3vMzu1wpcfNzz63BTXbBNMtySthmSiYWjWI4QXEgQardzftxbSVDIINYNhTGIE3YGh27MsdzzOLU1w82U9XnrlKh+/s0Z9WaGli8OM1SSpTxS7Hs+5qRov2d3jJZf0ePjVZzi+IPnoHVNcWG1wainAV5KmJ/BzGSZd4FkQeS5VcEyeWEFiIDaCMIVhApGxkCaQxEgVsmV6wDU73fm44YqUibomSZq0uw7YSQZst8KWrB0lKpOTzpZMkkxK2Tbnj901e3xG/9bGbTesJPHgs3+dmPxrA/j+/QfZsW2T+t0PfuySp545MDHsrdKse+6PKAc0ISwyEShhXa1HCjoVeMriJ5ZaKmgowUAJ+jpgkHosRXXueHSS+58b0AxC/uFb2mybTbhoy4Cbr+qihWsRE8LJFZeVdLXS1laYG4uQFiWcZ25JQCY8e1TyyD7NFx5q8eyJFlHSoKUV83XLTNMy3bDOB5/QzExqZqcEm2YStswP2Dy/wj3PhHzgCxvYPKWZn4CJpmKiKWg1EupByP0HFMNI4zUdqKwVRImkphXX7Rnw4NNTrvBpkLLa8VhcDTi/OM2PvfU8pxaXePCJeTwJiBgDBYDCSNIbaKZbNaYmmrx0T59XX9Pne1+zwL6Thi8+VOOhfXUOHGmSCE0YKvqxQhWlD9XAM8sJWENiLNYYPJEy6UfUiHnp9T12bR6ybS7mvW8KqfuSZt0jihq0u362kuqMcFThtefgrt6j2EnJOHF/X0rFhcU+Tzx2/8SG0wuXvOyW96hjRw+nF+3a/TcH4Pv37WXThln/0Ucf/cG6b389Hq4wPenhkt8gTUX3CksiBSoFnToG1wl4UuAZS5BaakrQSAWhgWHqMUg9+mmNbjflP318GpvEbJwfcuWOIbOTCe967YAdGyLiWGR6W0KFucn0p5QGIQWfurvOU4ebCK05fqbB6fMNanXFZCCYalomaoaJGrTqgsmGYqKlmG5pZqdgbiph4+yQrRs6pHaVT907waDX5NJtlomGotWQtOqGVi3B8yK+/GCNsC/xNrhu0VyiNOuKN9844OuPG3qhpDdI6fQ1q13NuaUGV+xq8a5Xdnjs2QbHl1soaYA408secaoIY5eY6Q017Z5Pq96gWQ+5YtuQmy4bcvJCm2NnV9FeypNHNH/2tQZCucI1xucPWgMYsJY4Stm5MeE9rx0wN5Fy2U7LxllIE48wapEkHisdjyRWxKnO4iAH6BzgLiaSmaslyucZuF1xW36OfDon24jA/PoTjz/W37p954f37dsbXX75FX8zAH769CkWFxf2nD59+v1PPfGobNQyuWBsdkJEVuaaOSgKVGpJUoFOnE6MU4uXOg0YaEst+3lkLFEqCI0kTCWR8YgNLPQm+NpTBkvKXzzkRjZgTXbPs3iZRSbyikSJVIok1kij8bSkFcCueUvTMzQCQyOARiBo1iWtupNDky3J9ATMTibMT4dsme+SssJ//fMa9z29gd2zMN3I2LshadUTGvWIZmNAvd4gUBIlMw2OkwNx7DEcCAZhSjdU9IaG7sC4lrmmz6nzk7ziypCffPd5fuPPNCdWA4QwWBtjUkuceESxZBi6MtbWQNOs+TTqNRpBg1oQ06pHvPjSCN+LueHShPe+ro9WSZYEMq7evirKM0lnjEQISeApwGcYapZWtKvbSfOYJ7snsoyBssK1HNy5s1UkltKsnDcVpBnAUwPGuuTSQw89IqNYvr/X798bhuEzfx3Y/J8G+Ffv+AsmWqp+9OihW/fvPyRqNe2+UGpc5jC1pMaSSoFSLgEjTRloauUidp263sckj+jTLKrPI3sjytdGEBlJYiWp0cQmIM1sr+qtyFIK0EK4TKWCWt1S05aaSgk8CDTUfEs9ENR9SaMuadS0A3hTMNUyzEwkzE6FbJjpsWXDEh/4guFjd2xk+5RirmWYaCpaDUWzAY16Sqsec3bJcPhsQM13ATbklX6CYaTZtcmwaW5IZ+gzGNqMxSWrXU2rXqPVmOK9r7vAkbPn+P3PbkVLjcWQmpTEWOJEE0aKQeSKovo1SWOoqQce9SCl3XUxhu+lLmHmpWjpGiWkdOn8vLjNla64Ek4HckHbZFWWxsU1aSoxRpKYMt5x5zoP8PPnlcdEZK/dPc1ILA9mk9RZuU62wONPPCkuWu3dun3HzsOf/LM/H7z7Xf9zHvn/NMA3z+N3e2d/Juyd+xklhrJeczsRqOILO381lab0wFNBqpw8SQzo7EumefLB2Oy1Ld4rn5eVcs7LFUWgVNXcQJbJcyuHlgYtyWpawFMCT1vnG2tBLZDUfEk9UNRrilZd0mpYJpspU62EmYmQuek+OzYu8dCBkI/fvYXpWsDGlmGiIRy465JmzdCsJbQaIQ/thyf3Nbhk3ma6t0ybD0LFDZdZLt0x4OFnpuiHlsEwpTfQGcg9GrU69doU3/2qZZ48cIEH924CqzAmdeWwiSWJbVFPMgg1jaGlXlPUfEPgewR+SqANWqd42mWHlTJZEZsrDUbYTEySATwPzl0JsckdKZPbrxUrNj/PJgdw/jrPlo6B27jHNK2QWJZ1jhPo9HsyPXb634Rp4DfqrV8GohcM4FE4kHE8+MVH7/ujfxH2z/iNms8wcsCKE0EinGuSSsfgqbGkyqJy0CuLNtlz435uUornaZ5xs3nmzWKyTFyerLDWUsm8j6y4eao6T+gomWUsFZWiLZf9C3xFLVDUA0GjLmjVLRONlMlmwlQrZHZywJb5FR7cP+AX/3AjJ05NcfGcYaoBE3VFs65o1qBZS6nXYnxvSHvoisU8ZZGy/GSpcQwXJz4T9Zh+Yuhnddb9YUq3L2nXFY1uQC1ocdGmmF/6wTb/9iOSb+zdiEVhrFshkzQhSgxR7Ky3QSCph4qaLwl8S+ArAm3wPOf3a5XX+jiAq0ymCGFHG3Sz1L7NSMRmtSxpBvjUlI+OjGT2KEqAZ89L1s7cmjTPomardmpIEkucuHqXg4dO+olp/NS/+qdv8Xq9/s83m42/cm/nXxng1i5gbeeXl07e/s+6q8dqWkt87TpKcraSOVtLQaJsIVeMdOBOM3Cb/LkRGGOLNLIpPFqwxrou8qwEtHpnDOCZ7C4/g8hryp0k0lkrmqclge8GANUCN5KhHliaNUOrkTLRiJlsRcxMDNgyv8qD+/r82w/Psf/EDDtnnMPSqkuaDenYu25p1FIatZg4jfjjO1tIpfCkRYnSJjQ2X8I9vu+NK9z+aEQ3CuhnAO8NFN2eoh1oan5A4E1w2faE//BDS/zChwUPPLMRYyWpcWn1OHGFZmFkCGuu3DUIBDVPEPjOjvO1LTK2WhmkcjIxL0suAF6mPIGMRHC5BOe2ZIF8DuBs6oApkmtk7E6x4qYFoCmzpsaVUqRZrVCSWOLU3YVUPLv/aO2Dn7jrn7/33a8XJ8+v/uz2jX81b/yvDPBHHz8G1r70sQefrteVITUeQpA1wWY1HgISCakEZRzQ0yI9nIM7lx/uPVPUSpTtVyYLRKy1GWuTlztjxz5X2buZfQZJWUyV1ZE7gEs8T7r6DV9QC9zMk0aQ0qw7cE80I6YmBsxPtXloX59f/NAMzx6fY9u0YLZZkSY1TbPm6lfqtYR6EOF5IaeXpvGUQEmT2XJlkJmmkiRRbJ62JElMJ65lnTKGwTClO5TU+4qa7+F7NTw9yeXbEv7DP1rgX/8BPPjcBlIjHcBTS5ykGZMbwsBQiyRDXxUSzPPA0+78uDoVi5ZkMgVE9rgOxp1cIUsKIYrkkMmSQ3m2OE0r75tSchbyM7XFSpyakvDSSlGctRat3CZfnQuP1sP2xS+VUvJXvf2VAP7AfXcyN6ka/+NPb/P7PcOmWZ+a75Y8nTUtSAGJAJkK0qwp1mkvB3RjLKmmAPsosHMZYgug21yO5M+f57NJURZRSQlSigLcSsqsUSKXJ1DzIPAN9ZqlHjj93KjHTDQippoD5qbbPHpwyC98cJqnj8+zZUox3zRM1gWtmqRRUzTqgnrNXRwu1R/x4F5Bb+hTU2QXmVvV8iaE1AjiRNOsKW6+qstDz07Qj8lGZaT0B4puoAh8he/5mX6e4orthl/9kQv89O/BA3s3EBtJbEzWLF32YIa+JPCNY2+vrKPXKr+TyZRSxsksy7seyPOkkM0BngE+LZwX1l15TRZLmRzUObFl5JWzeB5nGePIaGbCQ6Uxd95+p3/lta9pfOELt/Xf9ra3/K8H+IVzx5mb3zp13z2f+925yfhV9Sxoy/sBc3C7gyYy+ZEDm4yxy6vcKLE+a1cAbQpgl03BZNq7OBlC5C2cDtxZkZEqAA4qqxj0NPgerhPIzwqsgpR6Ji9a9ZDJ1oDpVocnDoX8wgenefLYBjZNaeYbhsk6NGuCZl3RqCsaBXun1IKEVmPIPU/6rLZrTE+XafIcMMbkdpliw6zidS/qcc8jxnXRRKYCcknNk9Q8jad9tK4jpeGK7ZZf+ZEL/PTvWR7Yv4HYaOKsAtCVvTomD2JZVBf6WqJ1VoQlBUrnx4bi8+UXYS5VRGVkR54QGr+byqMxlcdi5S3BbQqgs+Z1/u9t9ifT1HJuMSRKO69qzRz/g+/57lt//PCRY6u7L77ofy3AB90znBku/PSwe/h7auoCtSmv0LtUvmxauaJTUwLdVBsOiqu99EPzAqAS3M/D3LaUQjnI8/yFrNR4K1XakVrh6jO0xfNcY3HNN9T8lHotoVGLadZCWo0hM5NtHjsQ8jO/N8cTRzayYcpjQyNlsmEzcGfsXZPUA8f+tSChEUQkJqQbBQgl8XIGLzS4yI5P5hfHHk1/6MoFohrTOciHKX3fMXjgS1cTr/MNaC1XX2R534+f5//5HcMD+zYSG02YCqLUZCwuqMWGwLP4nutd1VncoZUrEVZSZscn68rPHyuFWcWFWY11xsBdkFCFmKrgLuIqWz4feS/N/m127sFVM4oILixdwMgj37PzG08cjqL4L93M+ZcC+LB3nKCxbef+R3/3Gs8eZ3bKRfGFRs4eTWHliUrgKApwp5Wa5Hw0ms2DSVsGYiVTlFlJW10zc9auBpX5cpt16KgsmNI66wzKipDy6sGal2a6OaZeC5me6DPZ7PLg3oSf/cAcjx/ZyPykZr6eMlmztDJw12vOTszBXQ9San7CRDNi7zHL3Y818aXEUyYL4kqPIieAOFUkRnPLi2MuubjH4RN15huUfY5hSn+YsbBWaO1l82Ccd33VTvjVH13kX/+e4d5n5xnGdZcMSyyNrIY78HAg1/nqZYreVqnSYoVTUlQALiogZ41eKUFuRwFeVCiWK+96K/P4e4XlOyJH3b8LE8ETz53B6kev+aVf+JGdTx84e/yaPZv/+gFu7T4guCju3PZfmsHx72rVlpCiQRibkRLVvDWqDDZyO8kWwC9/Xi5puT9sC097zCVZ45ZkzD0ObmGRKrcFs5oXlbG2tvja4HmGwDMEfkLNT6gFEY1ayMxkn5Vun68/A7/6J5t46tAccxm4p+qWVl3QrInCK3fOi3Hs7TuA14OQKE0ZDmrUlLvIpKgs/eSaVWSBpnZaXoeEkWUQiwrADb6f4nsaz5NuqoD0CoAj4Npdgl/98RX+0/9IeGDfLGfaEwybkqnU0kostWziQODZzPvPnRRbsHcuVXKAF583+9BVnBcKMTsp+apagntUUrpqzgrYx4CeVkFfkTr52IswFiz1hohjy9/10T//evrmV1z5zx96+uixm67Z9dcL8NvvOYsV3ZtU+PSt2xsPMTO5EToRSmoiqYpS1TKyLsGeVgBvCpbPl2tbMv+YFKkCPD/EVVWYnwQ37iFn77IbvxwO5MpiPW2yMRNpAe7Az8A902NhZcCv/HGDz35jnsXeNPOTkvlaBu6a092NLLCsB5JGYDMGd9q7FkRAxF1P+KzEPrMBI/XYiNEVKk1d88NEoHnt9X0e3B/RjQMmi451gx+6WnVfy6IyU0kPIV2CBguXb5f8xj/p8MUHB/zyhzZyanGawZRmyhe0EkMjgSB2o5d95QYaeXmgKUURBOeP1UC9emEKUQ7Sy88PjEnIKrAr8ZOpgn8dMBfPbem8uGZxwWooePDpp7j1dfrWDXX1xzruH/trZfBer0+jUb/0Y59+4J/efe8hfvJWwXQzoj/0wLqDoBJLqowrVa00GrjS1RLQ6bicKSSILW2ocdauypLsQOfMkqebcxdA5QBX1pXj6ry30/V3+l6K7yXU/JjAj2nVB2jd554nU/7gSxN84b4NRGaCDROCuZqTJc4CzH1yld1FxtxV9o7ROuT+56boR5rNjfzzjDN4eWziRFHzFC+9YkBiHMAHsXBd63nnemhccKiz2TCZvSey5LpFMDcl+J7X9GgFZ/jQlwZ8/blZzsV1+jXJRGJpautArrM4RNksLrEZyPNjKMracQmSksXHdxQspEo+ooJxbV7tHiprz3NGT9cJTtOsFCMfWjRIXM/nzIShkT5NEt/4T7dc9IbHh8PBwVqt/j8P8NWlEzz1+N20WpNbWhx89Ssv6zNRaxJGEpU1BYM74GkqiuKqUqrkkqRk7xE5kmttsmTCCLAr1kPVvhJ2TJrkWTlXMegKukxW852BW7lajMCL8f2YmhfRaAzx/T5/cofm1/5oA4cXZvCCGptagpkgZSKwNANoZh329cBlO2tZQsjVr6TZSuDkyWInpRf5+ErhS1sEmFS+Sn5h57UbUeJR94Zsmhqw2m8xiEU2bs3FCp6XZjafyuxO5QA+Eri6ysfvemWPG65c4Fc/OuRjX55nOWnSDzyanmRCuxqcQIOvKJohdJ70KebQiMIJyxNAVVIZFStVoDOyAhs7KjVLbT52LzLWpX+eGIiy+iNPQyec4k/viDHy0Kt37BBbut32wYOHT3Dp7h3/cwC3NuW662+66PyZfR+omWeY3+YThi1XjYZFqRSERaaSVMoRgFs7KlGsKesb8uCxOAiIiiQRY9IkB7ct2URWLckM4NKipBs9UTJ3moE8wddOkgR+SOANOHY+4fe/2OQz985y5Pw0Ew2PmRpMBymtwGap9xzcMgO3LJJCtUx7B767cCaaIZ++X3PweJ1aNoGraBejRHkxxsE6HR4nmst3wttu6PIHt83Sa2gmstkjQZTFDcqgtczG1lEBuVc5WW5V2DEn+dl/0OeaXaf4vS/McOTcJMtJnb6naSpBIwO6L627cDKXqVj98uOa24c4fV5mOu1anzwnprx0ovDN11qKRRdRtZZopCQjK6zL/vu6siipOX1O8Pk7n+NH/uHlH3j5y1/2lpXVzreUKt8U4FEU43masyce3dZZenZ3XS9QCyypkUhhsgPsyi6VtKTGZMydD46XFZdEFIDOwW+r7G1FwQIlK+S0bUd0YA5s95iPUnbgdq5Jzt4pnk5c545OCIIQX4d004j3f9LnQ1/cxOmlKYyqMzOpmPEtk76hkTF3o0jfy6xOJZMmmXdegNt32cswjjh4KqAXBUwHmYuTJ50qVmo12ZOkkjjWTDQ1u7ZFqGBIN2ox8AX12BLmANdplqhRzseWeQnwesGrYn6yz499V59bbznHh77Y4fc/NcvioMlA16hpRUML6soSJNaxuXRSRcuyvCHPcq5hctaRK+MOC4zGUrkMqRBZCfLSTUtzHZ6zuTPL8KQ7XkdPr/LAw8/trgXBtte86iXHkjhGex7Pd/umAE+jM0jbmq/X+GTYftCbmshKLlWCVGX9izQSawxK5qA2hV1YMLbJmbsC7AzwJWML7LqfxFbsQFsAe0SeyHxYUOoArlO0SvG9mJof4XsR7WHE/U9J/uSOCT517yzDtIXv+8z6ginf0PQtjcDS8Etw1wJJEEiCTJq4xFDmTGQA9z2X+Tx61vL1RxtEsUfQtGsCzPw26jC5ERiep3ndDV0+/pUe+081GdTcaIbQs/gJeLHBiwxKSedbS4EUshzuQ3k8UyNJjKQRaDZODfh/vrvPFTtCPnZHi0f2TrIwaDJUPp6nqWlBXUKQD1jK7VVpXT5BUAH5aM3KeHFWldFzghp3xPLXpfYWJciz5+kYu5epJomvPD73lSe9V73ypk+eW2i/aGW1t/BXZvD7D26V0/qJmzbJz0zOTS5ibcYYebH8GHPkrWI5g5dyZFSWFPcc2JlEqTL4SOGP69FxTF6klE1R7ul0t0UrNyFLqbSQI1rHtHsx9z0j+MPbJrjjsUmW2y1kvUarrpjyLBO+oeFZGr6l7pOxtmPueiCp+YqaL6j5ZBV6JgO3IfCc/lY65MApON2uucRKpm9HEydl/YzrgxTZciyJIs3GCcGl2wc8fSKhH3uE2YxvP8KBT+WTdfNEDcixzpzSrcrkT+rqw9/zugFvunGFrz7e5SNfnuCRvRMsdRu0pU/P1/jKTTgIJK6HU7pd6pQoL1IlsrLfdRh8Tf3KOJNXCM1Q1eDuIsjZOgd5XJE44GqZ+ilIFEnX8Dsf/8rkv/nJV9x07eWX3JYdzr88wNvLR4OujX8nlU82L9/SYxgFReFNPqa3KJDPgO2ey5F64upj3uE+AvDKARnhhRFpYqkW6DtZYjLNbVAydQPxczdDxix0E+55VPOl+1p89uuTXOg0EbUaXstjQsOk5zp56h6Z7IC6L7K7zEpOM93tC4KcvXOA6wTfT6j5EdbG3PVYwPGzdeZmBJ40RbmCXIftbMVCTVPFIPTYuVHwuuv7fOYbEb3YYxALap7rV/WzyVLlKqUKvxohR2SKu8uyUcE4v70ehLznNQPecMMSf3Fvly/e1+Cep1pcaDcYCJ+Br9GeQgvhWgilxBM2k1oWhahIw1H7cB0yH3HBSuYWRQBaBXSS3VMrSCmlC9kcF5GXDliLDSPOnn+yuW3++t+BE1cAg780wM8tW6Jo8PeffOLOqQ1bTtGc0OhBTJKqAsglSEv2tgXIy/erYB85CeB6J9epCRwJKCvAFsJkdqBBZADXOsXXMbVazDBM2X8ajp1RfOLOSW57ZIILK03waugJj4aStDxLSxvqnqXuQc1z4K55biahKzOVlbvIfm4zkJsC5L7n2tMOnzE8fTQAz8uWeVtJ0YsRFFSDsDRr40pSN8756l0hV27rse90g0FN0EgEQWwJFZm1ZzL2zt2U3IIstUrhs+c2rVHZ9AGPYeRRr4f8wJtD3n7zKrc/2uNPv9Lg2Jka+043iFYDkkAz1Bqp3FRfBejsMWfyQrpQBv9rboWbUoLaUJElVOUIGFyhnbsyqu2HFksemSYwjDh2sMN933iSzRua34yjnx/gNlkWNg1/8v7Hnp46cqTODZck3LBngOcLpJaYWBJFqsLWVYCPXgDlvykZvwR35ZIfYQRb0XwuqeEkicl2eUgJAjdJNUlTzi3BnV/THD5V5+6H6pxeqXP4TBOCANXQ1LSiqS1NbZyL4LnB+TXPjWtzIM7vMrurDOBkmjsDt5cSeI693YUVcXQB9h5r4MlRe7CQKJT14IWjkDspJutrTDyu3Dng0g19njmS0E88WrEg1OAnbiagqgBcSoGQcoTJYdx+E0Uwm/dRxqlH6PlM1CO+740hr7ymw+mVDnc97HPkZMDtjzU4s1QjHXgYqYl9hZAy24zAdeVLsownFLJlPZCPBJpUs9S525KDOYtEyTxDKs9jC4lB6AQpE268ZshNl4SE3YfmNr3oX//TM2ePv2/L5p3rhm/PC/B9z/wRUZzyyNMneODReXZsTbh6V8SrXzLkyl0JW6ZTdl8UoZGkcR5cyozd5YhMcSWWZb9fzuI5W49+MluJ2EvWLqSISvGClDi1HDkpePqI4s6HGjxz1Oe5o3U6YUAYBeD5qAmPQAkaChraUK/4wIHO6zTysllXFx5kssT3Fb4vswvAltrbS11m0XM63w3ujzi/LAltgNYSX1p0xWYbI/AC5Kkd7XeMEg+BZn4mQqohvdijr4VzOuKyYEwrM5KBlLlJDZAPO8KRTcHklcFIXqqK8RP90GfTdMSOjTEvvjhkEA34h0fbPHPM584Hazx9tMaREzXiREGgsFKBcJZwkQ0qkhTraJURcW4pg64KsMnnmWf1tTnYY4PGsHtXxNbphMt3hdzy4iHXXJyybUvCg08lza8+8LXvsej3/aUY/Pc++mXufXpV3fngI+LZfVOsJJLloylPH465/aGYSS9hx7aIqy+LeOONIa+9LgJr8DTUmxZrsi9tBEnsAJ8Hki6YzEEtRg5GvquakK5uBGEQ0hJHlv7QMfqxU5L/cUdAP1Y88VyNQycDFns+YeqD9kF5qAmFLwV1BQ1lqSncODOVFR4px9q+J1zSowpuT+JnsiTwIfDJXBOXMve0wfeSLCMaU69FXFhJufOBFu1uwPSkQGdefF70JZ6P2UwlIDSSMFTMzSredPOQ2x8ZcKLdZOBJJ1M0eInFi3PPOvPYZersQqqzTmTxN4zVIyUTaSrxU0WqFYnnxj7EseesVC+m6ce88uqEl14R8o5XDzlwUvLkXo9BpPjYnQ2OnvNASPoDTRqpvHwTq3OAj1lG1fTtCMABaxCpRZhSgtSbCZ5nEBhee33IG18SctVlETu3pkxqmJsQGOtmsFy7SzCwj4jW1KvV+WOfSzZe9J3fPoPPT02+/9x5de1SOImog01TjIlYGCQsdBOOLic88EzKJ7+aMD+dYI3l+j0R73n9MGtssMxPGq67OqJZy1YfK4oc2NpzLorhPO2+4MmnNEsdSb0meWivx+fvrTGMFcNYcfacjxGa2HoY4YHWiECjpcRXgpq01DJgB8oSKOtqwHXm+eqSuf28L7MAt8p6NEXB3r5n8P28QCst2Nv3Y5SK+Nrjis98o4XytbPbRvT38zN47oWnae54KIZDj7e/bMBn7+/wsbsm6SU1mpkO93IdHudJGVt0CwkhC4C5PyUrWr8CcJONdtCOyT2tSLRGJ6kDukpRyg3Sn64lvOyyhJsvi7Ei5F2v6TOM3Ti3z90b8PBen3ogWOwonnzGp9OXmUoSPK8oL3aecK2B110XMTeVum6g1PCe1w+57tIYa2B+2jIzZVBILJo0UfQGmiTRJKmHForAimu1nn0/sO6WEWsAvrraYXKyNfFbH/zMZS0VqfkadIyiJySpUSBjsCnGpIQm5Xw75fyK00sHThg+/zUXHNjUMjltuOnaiFbd1QGvm56sXuqZ67DaUzzytE+nrZBaupkoVjtmEtoNVpEapEZKiSeFA7O0BNLgSwcEX4Gvyhl9DuSibHjQrhEgbzyugtsxfFZW6+UMnlbuCYGOsTbi9KJPFNYIJiV+lvZWWVXeSBZTUJJXxTotutONIoo9pluK7XMRvhgySAIGiaCu3RDMvIYkT2gpWS1vlcXfcn8jC/iNKbOnxmSVn6U0SpI0yxuobC57QpykqNjlErRKkTJh25zJVgzDFTuGRHaA1IZ2W/DI05rVvkQVimU0qB4501kxVrNmeOm1MZPTBpu4lb2uQLnyOYxRpEk+pkK5YDnVJNmqMwg9hrFWth5ddtEV75wYDrqdWr31zQF+5twiFxZX3nfw0JHXxGGXiUAjYoNA0E8VsZCOjkUKsjJsB0NiDe18CVKGzqrl7Neala+4HsCr+i07OUJg8i0XyGpOhSqDHCkzKysHdZZ2lmQbt+a+ceVRZ530imzrPQpwu7YuhZ+B29cUJaaOwTMW1wY/y456XkwQxJxcNHz09iZo381YlJUEzwj4RoksZ9d8SKgDmzuRUezx3jcN+It7Bjx3vkUv9WgkblNaVwVYzpURKs8JVIO9vHQxl0KyUuCV301RC6O1wkvTorbIFXSVSTNXN549FyYbHJSihUXYlLmG4Tte4TBR5EdEvn/GOue8qDESYBRprMnjsySWxBXDwpBfpCrbMEwVgz3DyKfbj4jOH3/NzKZT77M2/cffksE/+ek7kFL4J0+edV6oAj+FunRnZigEiVEYIbFWsyZgsKZ8T1lSrwLudfGds1sO8NHgRUhZtKApAZ5waeVAuGpBT7rXWpLVVGTd43khkaYyB4VsZ7ayq74EuCxkS+DboqXN901lcE6Cl7G3r2OkjDh+TrDQqSG0JpCMyBNZ/VqV012VDiPAy5yOKPGYnQjZuWnAvnMhg1QzTCFIBV5q8ZJMhycUzlKZQlcjnQp5bOcm7eZdVaIijQw6NaRKonS+fbnKitXctjJKlnchDSoDucj/Ni7xJ6QtXK8c6LkDth7Ay+ReGZcVDlxmTOR7DJWefjlVK80GrnZXz3F43x1u995vBfCzZ08hhMCkIUoJROw8T0+6D6KwxEIQ22xGBrkFZEdKJ0tQfzNZQtaVUymsFwJJmSJ2U6nAExZPZKDNJED+vHgvI/uyFJSiwdZXwoF9BNzSPfo50PPgMwN33v2jTSFRPO30qe/HJMR88f465xfqeJMKv1rDUXVQGFOk1dS1FWNBoGIYugm2b315j/ufGtJJavS1pp4YoiydrmRZEJUXnLm6oPwv5YGmKGxJZx1mM1UspMr9TW0EiRLoVGa72LlaniQDeplMM0WCTUpTSbxlz2UV3LZMzsD6krzgvWqpxtpyjnyc3KhTl3vsknY3oTM4s+5qMQLwxx+5i3qt/or77rvvBmmXOLXsNhdKjVv6PAFSgbaWILe5KuZ9Pl0qN36+Ka7ze54sEKDyR2HRUFhtKksZu/kmpcZVObClG6afj0KoAruYg6Jw/YjrATwPOHPdrXNZYjO9PVpL7nsxvhdxrm147FAdtJ8N87dFer5gcEZZPGeu0geu9qXKwhOPY4/rLwmZnRrQXmnQTxQNBV7ivotK3QAlFVcBjgN58YdyIFTAYmxZBKcMqRF4RpAq6er5lSDJQF4tXsvLIWQO8gqo85IJgclATlbSnGeiy6TdSDHGSP2KqIBdFHFKMS+xmmuxbqBU4MfIARw4EYMObnjJjTe/4otfuvO+73jrG9YH+PxkDyGj77jxyvZ1041T3Ht4kuWFFnXtYnIlLdI64OUmfWnil2wOhbM5CurMPqmaSflVnmfFSnDYgsHHSzh1XhuR1YDnpZ6uuTjvVHGyRBXdKyWw8+Zbx96Z5tYUeju3BB1jl+D2iurEGEHMF+4NuP+ZFjLQ+FK4+dtFBWHZRldW/I1nM7MSh4LF3RKcGsVg6HHzVQPe9souv/+FFlEa0EsltdTtlKFlWa1YyBQpMxav/qnnY3IwOh+QKgpwp8rV+SdKuOylKmt9cqCXNUC2BPlItjln8nyRrshUsZbMqyP3qglAO5L5rtKi+yx1P+b8SocvPBQzNb31urkd4XeEUXLfugz+wBPHOJdMvun4wU/9g52tR+hEQ84uTBGmglq1rjnLMlYUVvbH7ZqspGXkes2+bIXBM3DnAJAVUEjKmofqaIOcud0WJPlrMganaMMaYfGsG8ZTo+B24xTGmDvr2fSz9jZP5w0HSeUeExHzp3dNkNoAVWQvqwFm2deYOxsjGpyxdj0j3XSoNA82NQKP97y2zx9/MWTVxAzSGoNsC5icxaV0M9fzojNnF46vn7JiTYoKyAWpzkY3qAzk2qKMkytuzJ6rYHTZY1mUJpcWZbW6syxjLppSCqCXUmUtwMffEE6mV4rwSpZ0ONDConXK9k19pqdTji8+x47Ns//gDbd8590//n0HbhdizxiD25i6P7zkaw8Pd3/uK5JIb2OxV6fl5QGcLWefFB/XjnzIb6G2C4AXTF6RJwXQx8ozCy0+pjlz0FdneyglSi2eVdyNDLvJgK2VKJ2Uwg50HfeuMdlmzF0GmLrC3oEX8dghycEzNazyUFLiS4Mer9OoCPBxFyW/F51ORlT8agfyOPHYvSXmyot7fONAnVj5DBJBTYKXWnS+mYDIunCSTIcjnVwY+ZOiwuKiIo3KJoN8JqRWppghqTLpV4I7rwWyWZlAzuQUq4eogBuRT8xan73Xu5U4EuWxqvyHrtkGolgxUQv49/8oJEr2svvSPbux8SU2iW9fw+DnFzuEYcz5rsfBC5uZaARM+VDXrlFVFaCz637INZnJb/IvquWWYhzoFXCroua7tN1KySJc97wowe2CTFF0i+sC3HIE4NXhP67bngLYRbayYO4UX7vEjusKirHE/NldDZaW6ohAO9+9ehGO16BUztdI76IZZdURb9oo4lgzNyN59+u6PHZogjCt0Vc+9dRp8bycVUkycOdrhck88Wo0VMkm538zm/dYnUrl7hJl8hXJFs9lsa26rTS8UHT5CyFLjIwz+FjTSona9a3jdTu6sv9OFtIOjJFMN320lNhYMOwsY9N+8d8UAP/dD38OrSRnLrS5eFbjKVOCp7K3i/iml+A35/Dc/y/lydhjFdBVFh8ZL1YytqwyuBIVFs/likTpUYD7OhsA5OVbB2YZTm3xilS8yZ6nI3etXOfOc8fhk3e0CKWPkirLXo5eiOMZTPE8R6pwUipuiskYPEk1Qap59xuH/OFtfZ46UidWHn0p8VOTuUcCmdrKcbKuvUxUBaLJ/tbovkVVJk8N6MJCdKOtVVYSoFJbDuss5rKIAhfJmB5357NaLEeFyXOwfjvrfanJq//e/Z18lTMMQh+oITonkGc/QdXi0ADHT5xmx/YtjX/587+9a3lxgdm6IR94OH6Snp+91wHzmqtv9Eoc197PL1FEAZzxcciywth5kJlPbdI63+Q1095qDNx5+t7LG5ONmxlStIjlPZ1Jdo9RXsTB05pu5IPSmTyxY+Wx4xfu6AEZHWg05oVn3Thl4kfT9ASXbR3y1MGI1AQMjE8tdTXbWpb7HsU5ixdsaciDzPKklyXMeYe7LgabuveUcQNTtSHrIMo3LbDZeAkH5jTv7i8MgDK4LALPsfOdI2ZNw8TYa/s8L0pXarSFzlqDVJLW9MZdV730nzSWl/5pf2Z2swP4yVNnWV5pv/HSi2Z/+sknh0w1pKvArZDAmjhg7M2xOGAtqLP/q/5M4PI5VSCUwC77GFWFFdXIUM0c5JQ10qoC6uJ5luRRZF64A7cDcDkUyKvKkyp7q6yv049Y7hr++5+3WBrUEIHn5Im0I6tKOTjnW4i2ouZIZKXPVQbPkhqJZqKh+Yl3dvnqYxMshT6R1AykxM96KMuRDxm7VevphSnKaC0mA7fBIsecFZExuC2C9BzsSoqMwZ0kSgsXhUKmlDq8bCcsZUoeeJZW4cixWWeVez6A5y/LVEvZtJykltrMlp8+c+rAfUk8+AvIGPzxp/YSBD7HT5xwuwF4qhxAn13lpVtSnpxveRs7waODHcdYmzKt7ebkjUuU0cE0BbClQKpy/JiqgFpLic4kiS4AnmtuUwSVnjYFuD2d11+MsrenYnw/4hN3eTx7uA7SQ0pJkJfGVqzNYo/47Es+bzUhJZuXmrIEeWJktsmTx9W7+3zXKzv84W01jA4YSJ9AiiLpo6QgrgR040wuqkxeseGqNTFGgbJuVTBWOHDnU8IMbhuaYqxEOYumnEzr+jiFHJUnhbMygoHy9bdzqxLq6ITbMgschjHeuVOkxiNJ3MYQGmCi6VMLAiaaPq2GA0yclHOdi8Et2RkpSnufP0bIpwuMOAiupNN9ufGBMiOecRFYipLNC4b8VgCXJcCLRE8OcOvmZGdSxFOlW+JVhgOVmtuxt6fd1KqVtuFzX2ux2A6glrknohKMPY9EIa8RGWOkdW07W6amTZrrTM30hOI7X9Pns/cPWeoFREozSGVmT4rMvRFlM7YcT6w49s7fMgWb5+dWoHNnRWXPZfZaQqoojnsV5EKKSvd9PsQzkw8jelyMyRUxCnBhEXYt2m3FQqmOFak6P0m2w3V/aGlGPokJSNy4HvTRo4eZnp6+6NFHH/3JYXeR6QmfOHVfIq7Mbi5nWoiRAGlN8DSm1y1jJ7sC9NG7WF+i5ImTEWCPzv6udri44e6Mgjvf2SBnblVh7jUMno+bKEdOaOUyl0ePCQ4cr2EIEFIXzbll9WA1fhAVV6P88tValJLJRUWeiMLJKNrNUg1Wc/nOiN2bhyztq2NT37F46mSKrrg4JXtWC73yOiFZLvE2Y3Nb+uRGlkt+NbZRxl00JtvQoEhoyZKMCnAbkc1SyTW5GJMqYgwPtnixNhgXGc7KzQMK1ynb+ydOJGEsGAw9Dh9bYHLu8p+86pqXPnH48OFjOk1TBoPhJmvtm4aDNhOtgMEwyawmiLMlppj8KcrlYl2VUtXZ+aNY+1jMCmEU5KPyRFScCVEJNktAOwYnGwVc9cGr92xLa1UFdwXk2X71XlYamrO3yl5rHaNUzBe/0eLgYh38Up54Fety5IJl7biINexUWRmr0wZMdXezvIw20lw8F/HWm/s8/FwDjEeSOi3upVl2Nx2VSiVzVi25DOTWjsyqKZ7L7Hm2aYGR+d0d+zRbMaTIWN3kK6wtiKlM+FSfZyxdaW8r2l6q4H4eF6MsGhsd7BrHgjARDEJBP5R0Fla4JjVvSpJok7XmmM6dhWbNMjctGEZ5jbAbWm6VIM0/WFaoXj1B3xLgI19orbtQXbrGA7Qc0GIdYBdsrkSlCbcC7mw+YbltB2uBrcsBQcWIN20ykCdOnqiYeiPiG/sVf/G1JoOhDw2NlgJPjEqT8c9f/c6sf95G9feYZVj1xeNEM9nSvOOWIbfd3+eh/T626TFIA3xBcaGp4u+XOriylhYgr2YzXPCZXWDKsXkqnR43FdbOg3qTBZfSiIr+FpVAdzSGKnV3GRe498QY0L85GUA5Cc3k0sS4rQrDSNDtW5bbMf1BSpJtAqA93UcgmZnsc9nOIUfOeHT6omRPgatgJY8LxLcMMMctwbUAH5cooxNNy+BSFKAp5uWpyu4NSmS1KSW4S5DnZbMWrcsRyjrbhEmrUaB7BVu7u1IuwPT9iDhKue2BBs+daIDnIaTKQJUnwOzIiV2vinDENaiydjYWwVYymcaO9rjmdmEUaa7YkfDml/d48lidMPFJpcfAKPyUsc9SesejDO4e1xR8qvxiMxglUHk1nxRYBdKWerxYUSVIU5llaMpVQ44DfDwuYQz430ams+rhp1ZUVj/32br9hEOnY86vhPSHQzr9Ifpn/usnCGPNjrllLtvQYbFToz9wG7naCiCltCNlvSMgX8fmERmqqyd2jeZmPVDnjF0NMMsdCEppUrEKC8bOAV5OTi0kSsbcjrFtwdS6eCyfe1lwqVVM4Ec8c1xw+/0N+gMfmh5S5JWDVOzBdbKYle9ZPUJ5LUoeqY8Okh9L+FQKsKLYo9WKePPLQj57z5AnjwSgfYZG4mdaXBlQaW7XZZ8hpZAHpGMZRFWCRCtK6SIdm+erSh7kG+vALk2ZaBOm6qZk59yUzD6e41gD8DHQj8FqRApXQZ7HgFpbmnWYnUqY2zhEmy+QLt+J7Vv0/Y/HSJly/1ARDlpctilm+4xjx9HCqG9xea334Ua+jBi5gtdlcVkBe1VzFyB3eruazVTZ/kB5RaFr58qe6+p88DFwZ3cvn0KbFfhrlbi7jvG8mMSmfOG+Ol9/pg41DdI1NHuVEt6R0tjqvfrieRmpahmKokEqd1TSsWL/cOjx6qv7vPUVfZ49XiNJPKxQDITGSyk+k0hLFi8/wvpMXh1ir1TO3I7N3WuBNKLQ4YXfnzN6vtpmDF4M7RwD90jAOQLy0lUZx9G3uklpCZRrf7t6d8QPvK2D1jHGJtQbBr1ryoFlUJMMAkVNwTAm65gZ/YBV4K4Bd+X/xhm7fO5eyCrAK21d1Z0FRoA9IlWqafrKXY2BW1XuutwENQe0VwF17pw4x8Q9KhXjezFPHJN88q4W4IP0EEIVXUQq20i1mnWtOkL5gRLFMalUDeWgosrcFQ1uBSZ1rXtuCq0q0vfWat7z2gF3PjDkkcNukkBsFP1UZAVfGejSHDiVOpDy8sLJTetYvAL0/KcqA72R2X4+eVCca2+Zsblwj8U5NJW6JVm5+EcSYKUkKY/XKL7WwGzEdSlJRCs3ryZONGcuzOH5AUL6YC068NwVh3XpWE+L0sOmevWJ4pdW//L4ByqZW1Su0Ow9KlNWx3R3KVVEliworacc4MWcvCrIs9a0crMpt7NDOQC/BPcIa1ce88baXKooleB5CXGacPdDdZ4+VAfPA+mCS1/YyuTYamAl1gRW4/IkP7S28qRogKjUiIxUF6YSozJHJdWEkcdVu4e8+ibH4oPUsXgofIYGdCrKwC/N7cJsPU8rFxnlrnXj1qWSYJUrbFLWpcKtFYislFVaUUqVSlBZsnd2Xk31wrfr4mmUQMe0+LoyRoAtmzzyzxzHkp7wqKGRymkvTebBCiGKvsV82R+RDvmVBhRZqOJDinU+SG4JiUKqlNIkX6pGHZPRPWLG6k8Exd47xe7FefPtSMNDuXWJUmPgrgzFL9wTlaJ0BeCZRPF1zMGzgo/c1iKMPWh4mTyhaE1T1V2Ciwu3jD9G9Mr4zY4CvSpTqpsDGLueFtc0A8n3v7nPF77eZP9pd/GlRtFPlasyTLPkD8Lp7zQbyzG2kuRlz1WAS1tqcZlpdGksVrpzZKVwADeVWClnclONpdZZ2aqkKSpYqZBglUjX0+jud2R/MKuhSY0gSlxTelBzlrExoH77v//Gxpqv/99DR45dXu7GJcqqvIpUKGst5Kguzpm1IimUrLgdUmQ1JKN3lS99UmRlmCKbh1dxRcbu+ciEqsddPOpSdzsHZRTc1b16ymKqbPcHHRfNDJ6OSGXEH36+wR/fPgVBAKqGUpqGstSVzcZRUDQ4e5XWuDKTWk1EScrJsIwEqGUsUdqO+UUrJFnjb9kLqaRFWMP2TRGnFyWPPu2TCDd5wAiFEK6Udr24Z9SpENU+hPK1rYiaijVcypfK5lNUL85s/nf+3nr36n9TCawLH57RycPjo99KGeX+zegF4L6cFIaNW2/YtPWiV39FHz9xYiocdt7iiZh64GUecpn+Lq2vrJqhwlAjV1lFV49KEzHyvEwAVN2TsRqUKmuP1IHbEe0tCzCUkkRVtLcqdnqobESl7JgkySsFc/aO8XTMgTOSj3+1gZu/4ti76NzP/75gZLywrDIMjLBV8aIA0NiJM9XakHKuoM3GJ6R5022qSFWmxVPNd7+uz2fubrD3lAcywgrJMPXQZPUi+bFOM3imeeInh2pFOln32uJmY+WfTWZAkxakdbIl193Sur9hTeaPmyxAHVmdR9l8XJqMLHhjeCrAW2FuIbJ0Ve6oGEakXRxHtFYHb4nN6Sk9GIYkSZwNd6+yb7UWpHRRROVqGQ8i14JeVGTJuN4eT+qM6reRGvAsmVDdR6bU4OVWgfnOamoM3G4iq8kenR2olEHlfrdKUDJBZfIkVQmfv6/J3oOl9pZCOu+76KBh3RMoGH9dcOOIBi+fjzYgj3jilYlU2ghXmyLLFH4Ua664JOTtr+hx+OMBUapAaFKhGQiBTjP7jjzQzR0VMcLHRQhsc10uULYsNrLSfUZVZWJhyxS/ACOzRoRcplR88CrYqytKGY+NxW9jgB/PoTiWdpl15+SIYne2WAokkiiKiZMQ3aorwoZmouF21c1v1UEyeVBYvcJG9lAcv9oYBTKMf8G1iYD1mxtGWTt/nbN2DvacuQugqyqTl7pb5UFkvsWJNGhZDs1XKsXzYo6cVfz2pycYSo98glbZNZ+tINUa6KqeHLEDnv9WFA4Vvq4tUtFlyr6qwcVIfUpq3PiyIE34x7f2+PO7Gxw+o0HFYDSx8BgIgUpLR0NWg80xkOfevMVNTShWGATSuvS8xWasnXviZoTNbfZ3jBQIW64ea80EChYm//nzgbsCcln5WXHRUOIm/29Nquj2NcpX6NkpD5topic8LCrbCcuuZeyqRFk3qByrgR5L5BTPJWtYb6S5IQf+GGvniZRRcJtSoshRBtcj/nYG5hG/u3KXjsU9HdGJDL//2QlOXwhA6cwalEVfatX3Lp5Xl9sRlhpNdK0L9KpUKRoPqj2aeQpfFveiGUIq0kSzdT7kR76ry69+xKcdu4DAWklolLMN0/xzWEgFpcIuQV7+v/uJyq7CbH5T+ShLx0dKWzK4rZy7zDK0BYM/T8CZHRjzvGw9CnozBvoqwDFO/hkDvQFMrVoSQE82IRq6DU7jVJKmtprIHcnEVYE8LkvGP1wV4Hmr0qgnuj5z58AuWbuc0lqwd1ZwXwK6wuTaZIxuCmni5IipSJWcsZPiUasYHcR86gsBH/izCULjOXkiVCFPiqbiMUtsRHcXkqwK6/UhbksCrViFVdDnKXvr9j0ylVLafMqT0dR0wo+9q8eB4z4f+rzT4qBIhWRoXMApUwoGLwuw8pNVnvGqXelAXUoWazM2F2WhmCMdV+pqRxI/TsbkfysHtMlJjnE9Pi6B1wd5FYvVf5sfT2OgP7R0+ynKT9CLq4aVtiGMLVoX/3kF4JXTlHvb6y4nYs0fLp5nZcjjtQlrC3PsmESxlSAz26K7umWgqroOpiJVcjBXmFyW1YGF7i4e3azB5RX48682WAlzcDuAe9Jpby1G5cnIqpPHK5XDVxy66kmgIk8oAzmKysKqPKHcetGM1YlLiTIKY9wwykk/5dbX9/nMfQ2WutmQVKOIcXp8vLpw9JJ7fiZ3eaAyKZTXp+TBps1YvAB05pMbC2tX6qxU1rrVxMjqAH27LpbWtQrHLoLic2fHMvAFMxOKmUmF7g8Ng9BiUpBe5nuOc04FzCVnj15hBYCroB9rR1s3IKu2PRWAqYyIkHZEe5dW2tqgMh9OU4I7HQkw8yAz3+dGV9jbayR84Ws1Hnq6jqlob9fUkMuT0XqTojWretBH9Pho8LT2lrFnYYeVEmW8GcJWg04rUbb0xZPUQ5uEl14d8bYb+3z0iz6oCITECkFoNEoItwVJHmiKEtTjciW3Bq11dm3O7EqWMsrKSqGYdDNeRpjbugveVjBgchLL2drmPysZfhzIowAvfzD+s+pNSagFgkZNoLfMK3yhOFsv/6viP66y9zjYK1fV+oy+FtjFRSBtqVvHGFuIMfYWo8AuXZTstbLobMSYlJljIm2mqyuSJHdMZEWiSOeeBF7M4ROSj3yhxbmu7/a7lm7QuxKUOzaMxQtrdHc18FmHvcdvI4meCrOv2Wox34JxpOve7Z/jHt32JxubKT/wth73PR1w+LwEEQMKg2QoZGUTKQeqHNSFjVm94Kp8XmQzs/NQZXMhspiNooa8avHm8Zyb/Z7JlGpLXSHp8s8xXllYbfmzIxdAeRGIkeM9HBrOL6VE1qD7Q8sgtKQpeP5aTbkW4etfPaOZqVFAF5FyZSxENdslK0u+KOqrK8ytcsCPgbyYkT3+PC20d87iOh8HrBKUTNGZLej7MWFq+N1PTPD1x+qut01qp72ldF07opy/UnzWfGVh7TGrMnn1mFWP19oMZulalHu8V8tnq2W0rt3M5I5KakikRiWaV7844kff0+EXf9cnTKTLQBlJkrkqMovo8gwiubNSfDDXzUXl87nXohIbZN31FqzM7DopigvAZmzt6lPKpofs14zag1VCBJ6vKWIExOO3SvdSXkZdMPj5pYTV1YRhZFzCTpXgHP0l3waTr/mwlWV8HeaTFcCX3dlV7V3uPy/XkyfSFt3ebttsU5EolbG/ue7OZlwXwaVM8PyEux7x+MzXG4SRB3VdaO+CvYvAlpH7et5+9Ti5+/pNx9WOqKJ8tpAGZfGVVXkyY7RWPDUSaZxUyYGeJJp6I+HWVw+44+sD7nxEOdsQCUISC82AipSkDAALtpaVUt7KKmOp1KVkzGylG1YvRPna2hxotnBRpHBMb7LKRpuzd0W+MPa4xm0V1bzletjMpA9un9P5acn8jES36po0VNQDWdShfCtra/yXV1e4UlNlDC7L37cei4uq3q56y7LiWOT6t9hP3b0utHcxCbUEtlZjQFcluHUGbt+LWe1ZvnBfg/1na06aCFcSK3LtLahMkLJrwF2sRsWFLSpA/9ZH0XnhorDkRu/l3qJrhwOVNSpSKqRJkUYTh5o9m2Le9soeD+31aUdZ+tU4PR6hyPeBkGTe+EgZbXliLS65U1yQ0rktKmtpK9k8lypZwkdkNeQF0KtyJMsfjTE8leNXTMFag0P7zQ4lQuTHxdDtQ60Oem5aoIVgddHVcaw5+Pki8Xy/O1tGRiLcdYJLQVa1SNViG02WlAFmCewS3LkPXgaXshjMbkcYeySgzBM5VRdFuk55Q8offbHOBz7dwgrtfO8R9qbU3nKdzz0WUJYsNKoJ16J6rHqPikwp9HfO5Gtb2cpZ2QaTSkw25UlJQ5x6SGX4sXf0OXTG4wOf0cRJCXKDIBQSZfJBEhm4q61tBahzXQHZ5LfsO9myViQHunBAlvl/JjKpYssRE7n0sBnYC+BTXQXLvy++KUmUlZAlVt3vjeOExdUEdIqeaiWINGW6ZbKNOCsH2uAmoFasrMohqQB87fIiKsAfZbuxMWNVqVLxuHNmL2fiZd73mGMic3CrMXkytme9yvaecRo8xvNjDp2TfObuJr2eB3W1lr2Lmu/K6iLKBE9Vjo0/z4Ojb8XhttQAFTmQa3Ex4p7YrOmgALqsDIWXTotLqYnjlFYz4R239Lnt3jqHzmZJBTegmlQIBm6tcZ/RZGfUlmC3Bagzt4Qs+UO+4OROSp66d+ytMrCW8mQU6Lmkk6IE5JqkTfF8fFUp8Vdd8cyItIP+IGGlk6D9BC1lgNaaWmABQ5KKbJuLfC6GyLZUHvVvi2urorfXA3X+oWWuucQ4A9oReSKK2Xele1KAO2duUR3MnjsnZmS7DVmRJVJmjknG5FonhLHhjgebfPXxuhsOLj0H8DH2zou8lBCjwTBljc5IgL1OgPmtbgWbF6n7SqWdybKHuZOSbUXidLcpZYqRpEKiUokRijjUvP66iNe/dMDJL3mExunwrBKKBM1QgDSVbauEKAzsPPWjijOdOypZrbigAL4VoiR7686pzQK+UaCXGVVTJHvKWTlVJif/TIwey+qxysnXGOt2SzZud78osfieR7MRoGsTO1fjOLxtelL+H2GUEMeKOBXF0J80X71yVq+cmPzvivGrkRLI67J3AWYqy1cO+gpjF8DOgV6WjY46J6P6WxXp97Ty3O2Sq1SM9BPuecTn1z48SWp16ZxIhRDS7QMkyrT8KINXHZ/12fvbSGJWqGi9MtJqA0TmjZNPvcqKsUTpqBSaXDpvXBhNkhh8P+VnfrDD/lOaex6WGF9kkHVfIDaKAVVBZSuyZB1NXnjh2Wqbf94soMx1uMguAEM5SsJW8QClT76mCcKOKQIxVp3mjkWeGDPGFlPYktQSxRaLz9TUxG1XXbZjVX3/rRM9mZ45rLX50SRJR8LXMlaqpN3zx2o13Ujlny2aE9YrmMrrSKpp98LnVpX3xqsDKwFlUVD1POCuShU9ktBxvZanlgW/9pFJ7nu86Tblka4dDemhpaAuIZBkm1zZtbXbI/esTr4YkjM6jCiveZdqrGG6ctzK16Jy0Y9ldatkUJkDKMalXvVnFuZmEwJteegpn9WBHFtqZDFFvKw4rJzvNVfnt7MsjQ6GqspaW/kZlfiuapW6n639HfnPR8Bt3fD+JM2ZG4ahxYiAA8cWf+Cr9z2zX+elmgLXjFuO+BLlcmnyksmsgKYAfr60VaXIKHMXAWYmP6r/ZsRPHtkWY1SayHU0d77DwLp3VQ0ss1LY7Hnqp3zks5P8xdea2JoCoRw6hUZIOdJvWfY3fpOO+Sr7PF9qbeztynmvEvkoIMa67cc7fEw2P9BmzG2tKWtUhEQaRSo0cpBy62sGPHfE430f1ERBUhG6Ams8QrLuqjy/nrpsjcVWQGkzSGTZzUy3ZgaQCzZzRsaxeZ4DsXnaXubBJUWnUeGJp9mKbjMWt2P24UjdDqU0ycAdJxCnkBhXFCazY6eTxGkzY1xCBEw5OaiQF6JYbmx5zkZY3i3X40FlOXymmkEbdU4s4yN4R8Ce+90iA3hFe48wuEwrTkoV3CmyUnty58MBH/5Sk2GaTcEXuTWYZS2FHdHe66bmq0BnPLAeC5i+BfvZDAG597wmo4ldU0JrZSWzKSvOinDVoEZmxVnSkBpN4Bl+8K09HnjS587HnV2Ye+NItzV2aFw7WlFEMm4dZtKlkFLC7bhnxRjI86aHTHObyvErge6+aemk5LKlKllEuRPIOg5edSZKahy448SxuR84x9caizbZERVYAj9FG7A2s5aEHF1WGD2BaxI5jLO3HWXrMWCPALxqD1bBLcqdvdQaHW5GPfBx9pZpGWDqmH4Iv/wHkxw5HWB1uVvyiPbOJdIIsMcAzTpgLiBcSrySftYHedUmLJi9osfL4quqHl9bm2JkVnEoqyyuEKlBCI2MDBdvjfn5H2rzwE8FdIfZlzGy+FwpmqHNT2pui5QgtxIwGagthcOisoDSSorOGityHW4rSZ61QHeMPQroUkFl+MjKAcYJI3+dH6c4sQxjNzS2ZrLdtq1Fz8xMARrMCjJdwKJYsg26fY8kccHmCA+tYedKQMkYsCvDINey+SigxboSxVR88EpfYsbmBXOPuCaV3Xkzz1vrmCSF3/pUi8f31ZznLXPmLp0TT4zKErXO9yzAPsbcFCelHLq5Hl+vYfIx56RsgKAsZrKumGlNtaFwDF4EnUY6kKcSI7J7mkkVY7j+8pif+Htt/ssnpojSjMWhiApTFKHJtXhWVFIBeSFRRCXLKdwGvbbK5hKEoXgtZVl/bisgFvnFUJG1MpPG+b9xiqXMUlblsBICq5w86ceCC11Bklg2bJhifq5FFKfoPVe/FaUnGbS/wclDj3DkbEAUSjqDFsNQUNaLjAcz+Yke1dXFlTnmca91UEYBXQLejsmU0f0ZS/ZOS11eTeqM3LPAspbylQcDPvSpFu2B5zzAzPMma9J1zkmZtayW8qqRz71Wf5dSbXSKVbm/2higx1h7Dd5HgF6CfJS1s6mwuSSpJoGEsxFTqZDWZHu+KyZqhh9+V59Hnw244xsKGglF4QiAFCRGMiSPKUqQW1xpLIVt6TzvLFZ1Zb25hDElOHP5kjO6Y2UxCuDKCllIFERp5gjnyEiqlqx77mn3OCv6BFN9nj2suPnlb+HNt1zH0koXPUwkU3XJs8cl//73Jji3OMt1OwN2bRI064LAdx3rIssTjDLZ2kSNWIepR/9NRW/nQ9OrsqQiSUqZUu6w6wCejvrd0lmBsthX3QWWUiZInbDvmOa3PznBoSXftcFnfrd7lCV7VxqeR0C+njwZkSZj/alr1cjo2lpxBgqQj+nu4r080bImjT82JCgvxLKm2FRW5FJFWITUyNiyeybhH7+7y7FzmoOnBVZXBZYA6ZFmIGcM5LkgVoX0yvxuyFhcFIFmEWDmLD4uXfLjZkeBXiVLREkaLkOaleFm58ntlieZn1Hs3p5y7aVt9p9aYGb7AM8TTE9Y9DNH6sxOB9z/9BTP7p/j0s01kljRG5KNj3CVY3qMgdf41/LbAXYF1CP//egmRiqTISWTV3S3Mtnr8WROCXSlUqRM8IOEc23BL39wgs/c1cB6qkzHZ9JkPfZW1e84DvIKuNdL6lQZvdTho4AfYe0xsOfvra1JqerwHNDVADTv/HEMLkX+PAs+U0OCwZPOVWmHkp/+DcX5VQFBlW4FFl0weSlPsgstf8xYW0kXzOVuic3rUkRZbJX/aiFBpqXjItZh9MJlyVAtMuauZkwtub3qAN6oS5Ro0O5s4kU7JTuvkEzMp6SRQU/WPSZbjXNbp/Xtb3jx/JviqMtUS6GUKE5KkVGiDBTHmxHWBpSjwK7u3SKL59Xfk+vwihSpsrnIwJ0HlyJna5eplJlr4p67WpMIw+fvb/KVhxtZrUluCcqMwXP2LncNrs4brC6da8piK1q8GpuMM3cB/vVqeaoecRXQlJ6xs2hH5YrJhu446zZrghACIbLET+asSCkxVmXvSYR1FYeBtrzxxiFvf3mfP75NEiXCpW3zDy/B4pFYwTDrDLaiKlOqmjzTwllCzhba2xVkSUrnRWY/yx8FlA0SOP1dZfQ8oUQx5MfpcWxlwrGFJIGVriRJfbrhHhqbJ29vzbfODeME9dvv/01uefUrVpt1uVrzzd/vdZZoNXxqvsD3KTdvqnSqjydpVMG25YZIeQNCoV9lpRJwJLFjK+9XX1etQDsC7ipzVzvidQZurRNSafjs1+v8+9+b5Oi5zDeqJHSQGiEFgYSadIPsdTYGLp8tXiZzytFwzj4shx0VU24FSCkptlURo0P63aQuOZq4yZ268XtVBlbLGCoBe7X7qZj+C1THNVRX0JGaIWOZmUi54pKEkxcUB09ol/Aprsbyas0dkHL8xfi/Gb+Sxy9yMXJ9jzhG672XOzmiYkmL8ne57zA6PEoId6F3BynNqYtATf3LQ4ePPvii61/h9uiRIkEg8bSlUVfUAqe9fT06hqEEX6UIqvCxKRi52HxoTJas53sLUcqQUf87kymqdE1kRYrk4JaVgDK3BD0v5eii5EOfbrL/cAAtVUgSl9hx2juXJsVFCiNy63k75ivBZnHKxWhAOV6LkpczVE/4eLLHsbYZS/iULooskhyj6Xsp3IaoUtjCGxcFs8sMi8ZNvbLOG49Dy+W7Y37w1i4PP+1zbKGyVBVBp5MhCYKhcMEledLPVOtQSl1e1KiMqJ6yfU3a8TrxgpxHPfJs54iiwDF/H1dXnhqQqSFOymNtUkOvn9AfRMRRZROqXRfvoVarMQwTTp44TuC5DLZfzNSuTIuqzCNxe5WPAnut/l4/jZz/TMmqJi+BLYrg0lC6KXnhVEWWFO9l7K1SlruC3/zjCe5+vFZWCeYZywzcSpLtUFwdg1zWSihRZcG1tuB6wB+3wL/dmx2jtZG6lArInWRxgCpkiqiAv5LplMK6BgPjjq8Ryr0Wyl1GwpD2Da+5LuSfvLfDf/iDKVYGObAzxBmRgVyTSFE4KDnIMQ6s5IDPyMJ9RgodXoA497QrQM9BXtiGFY/cCpv5566ftDQns3/sYF28W/MUO3ds56qrr2I4HOTXKMzNbWTPnsvu6HeXf216KqAWGOqBwffz7a2ruyOUOyTktSLFmLQRmWGoptgL9hdmHSlS1pOUbslYV86a6sD8eTKS0BlKy+9+uskHP9WiG3uukCpn7sw1cbP7SudkpKgqB27O5mOJrIKp1wXz6Jzrbwfp4931BZDzn1XdlopdWLooVQtxfDKtK6fN29vyAZ7GlntwtjT86Lu6/NitXeomAZOCzR9jMAnYBGssiYXQQGgEcXZPrCA2bseF1AqSkS3Bs4lT4/c0/1k5kSo17mfFf5+Wu/ylRb0JJCnEeWo+ccVVYWQYDhMMHucuLP7axbsvvWPTpk1AVg35n//zr3PFJa1YMbzUU/F3KhESeCLb6np0+w811uSrqgFnRYNLZUc6csrBPRX7b+R3lM6JGvG+ywvAyZg8kVOm5GXWXyk8w9OHfP7jhyc5cSEoU/G57lZZr6UQ1HIGl7nuLrV3bheWfZjVoqixYilZHVBaPubDRgvtLcthpGv0thzd4aJ8XuYhSnlX+vMjJRCM5h/GE2/5rmsj5QbZVVPzDRumU+57xuP8gsw6bsbsoOy1EWX/T9nlXl7Jds0yNk4BlcUquzhzG2PkQs5fjwXfhcQbsUsd6LX2CaP0j+/8yt33f+d3fkcpUQBe+eo34/k1Du29j6MHH0N7XsnQFTAWzkZFipQHdLSoKn9vjYtSkSGFozKiw0smrwaWUlSylGOpeO2lPHXE4yd+dZqnDwZYT5aypGBwWbEFbTHIZ3ynhvWswfVkykhipxKIlcD4NuWKHX265sSO2IWuis45EY6ppS0lixHuQjJWOkfCWoyV2b9xE7KEcd546mwJRGS59pKY9//0Kj/6HwVPH8qCE5l/GFEuJ5lcsbj6a79iHxppM0BliaCKBrfCFiMkqtnMwh8XlfLZynHOp17lTcvG2GxDLEcsqbEoY4mjhOuuu4S3vPFV9AdDfvnf/9wowJsT0/h+gyCooZXB93IZkrH1OlnHaoayCmRGGGT038oxzS1ExfMWFdYWVYCniNz7ViWwZZbQ0Z6hayW/8+kmT+wNSFUuRyrpeOmmghS24AioqxWNJWGNzx1cMxZiBOwlmX2T8pN15ckIxitZzKJrZeT9PBhdp2bcurndxuSbiLnJtCbX41iMkNm5kk6PG0uKQQvL9VeE/J/v6PEz/8WjmwjwoCgiMRnKEGAUqRBEeRtb3kKfPVpcM7J7LOcemmzfnjw5VKTqs+cO0NUZmGPFbdm+QNJAWvQJuC3Ik8RQr9XYMD9Ht9cvjqsuD7YPBIeEah6uNxq7PdlH61FJMR5E5gtS8bxY1aqgr7K6pRpgFqCuMLcYqTdJK4BPC1kiRYoSCUqkaC+lb+BDn2nyya80CXMwjzE3wll0RUHV87B31ftew9iVFXs0mSPGV+oKsr85h6/vpLhX4zq8HBk8yujlPG2bgVsWrC6sQGQ1KsJKhLXZXWYBqEJYt+GvLyzvfn2fvcc1H/p0i16MO2Bua83yMYNuaiTF5slZqt7VyDgmViKvVakGlGUAmgeW1dqUkfimUtNTEKQpz1EueaPYMDPVYnqqebjZCA6labwW4PMbtnB8/2dv37zB/5gIWz/fWVlCKc8xbLWIHih3eMj/euV1BeBQtQ1LSVI6KxUpUgG6qGQqR2WKA3fhoOiEbgQf+kKT//jBCS6seM60F2V3fAlyUWFvuyZbuWZmS8VRkYyBvfp6jLVHfia+ObhzVFcLrYr3Rl6KSn0KFbYuEz/CZIxNhc0Ll8UFnMWMQDL2zl0WJAJNklo2zSb83A+1wcKHP9+iG2cMkDkqxTZr2c0YSSQoMps6AzPV5A+uGVll06+q4yXyxozxlXGcJqpp+2qpiJQQRYbNW+cwqvWxT/zF12//ke9721qAAzQboD39xU49/a40FNdBVFb75SAW5ZFfLzlXAn1culR0+7dgbimq4E7XgDvvr5Q1y198scGv/P4E55Y98NU67D2asfREmcDJnZMRzzsH9DhzV3zukfir8p3F+Jt/yVs1o1mCXxRvrJ+6L7OdI0DPLENhS09ciJy1yR5z0DsWx2jiyLJ5OuXnfrjDUkfysS+0oEYmQewYk2cgRxIZdw34olJ0hWtcL0pqhXCjKkxVmoiCvcfxVb3Yq2+WLpfrylfCZ5iqJ4TX+GISDUaO6QjA57Z/F4/e9a/vA/GIUvI6rUJXaDVWcW4zc9PkrUVrejVzuVLq8FHdXZEp4+CWaQb6dB3mNmV3TmA4dErz0S80ObvgO797DbBd35zINLeXAVpniYnxTp1qI3QB5iqrFC8ydh7T39+mKvmm5FAe47LwKifNNb2bxaMo/PEC2LkON25bEClcs3IpTcpg03XV5/64Ioksm+dS3vsdfR540ufwaR+C7IsVTD4KcoskKRAvCpbPgV7V4kXNeDWgzH69qJDnaAmDLCVbdnylAEXKRENhkvCRT3369vv+/A9/8fkBDjA1sx2QxP0VFENXfCcsRWVb4a+6irWqN5t/sBzUFOB2cqTqppROyjqsLQxiHVlSlMH6hsNnNP/m/VPc9WjNNVCOeN1V79t53vkYCC3Xau31hvmM/JuiA3wdmULeFS4KbI/KlFEps55LUtCCrYDCjj9W977JgUzhjogswFyvKEvgPGdhZJYkkgjjVlWRSxcsqVBgHEGZoeV1Lwn5pZ9Y5RfeP8WRs75jCCrgZ/aTHwAALyxJREFULiyOHJQu62lwPne+YubsXTJ5Hk9ktuVY7ib/noZ8V2NIMk89yeORrDxFI5marrPnkh2YdC1trAH41ovfBEJH/XPHITycJQrKA5aafL9Gp+OKfWQqLF5ltFJzjzN3Bu6qYyKMO+iZc1IEl0XmMkF5hmMXNP/2tyf55B0NIpHtRiWq/ZUluCWOvcs673W23x5raigkyBg4CwBX/k3VDvymxF394dh5yAEvcoZaU6RRKZnNX1fqxMlBP5LZLBshpHEQNsKBXBSZ0BzwZRSbS5bEWGo64T1vGJAawS/81iTHL2TOSg5yQSZdcpArLA6IOZCd82KzX19OuM3twWIgW4WZyX6lyRI/sRWEBoap+93GGnc5WQtxyouu3cz3f/eboyhO+X//7bcAuF+fR+rpn9p74NIrTx196jWvvGqJwFMYIwFFnHiEsY+IPUQKCQqTF7jb/APbEtxZcJmzupRmFOAVcJePaWENjqThdcrxBY+f+W+TfOrOBpHMtl5bl7mrGcvK8PpshV1XmoysOGOOyQjgR9l6DW3/FW7juK7Wha9N27s/mjeM5ww+2hhBqb9HdHgV5DKr83bnx2TgzrLfJAl4OuV73zxAK/jZ/zbF8Qs+GUpHL8Ii+HTH31iIswvBSoHGloODbKVmZcxFqX7XxEBkBP1UMDSWNIkhifBFTGwsnor5zlcLvvMNc1+7es+2nzq33FtzXNcAXHkz/Nv3396B7fvnZOtVV+w+pw7uVRw5K3nd9SFT9YR6UGo96S7T4qCLPHlQgCXPolVrvs2agFKMATx/nYNbqpQzy4qf+61JPnVHg0hVwZ1v7FmWwSJcdtCTo10667F3DuZqFhHGpcgooMcDzPxsl6MX/nLoHg8wx33x8k3XAF7WnlC6KWRWWxXsFSdFVFhdmLzjyPnkRVLI5CVfTpMniUVjePcbBiSp4Kf/2xRnlyvfr6rFiw8ACDeSIiIfIiXwsi+iiq9V7uhWXQEteVpfEBkIjSWNI6ZrHebmerzuxQOOnpYcOCK5audk+g/erPfH7U90Ns9+z7cGOECUCLbNXPiJd9/o3fRzv7Ph+j+5e5Y4UUzXQ378bYv88/eE+Nrj/9fel0fLUd1nfneppbvf67c/6UlPetolzCIijJAwYIwxXjMhYweyOj6OtyHxlsSeOHHGhIy3cWIcO8aOM8SBzBwPCSQ2OCQy2BiEwSAbkNmF9n150tv7dddy7/xx7626t7r1tILAyT2nT1dXV1d3V331q+9+vy1OuHuibd5tXs9ES4jLuTM6UrDcjAkkHsH/vqsNt39Pg5valtt+LmjeBY9lkXe7vDqfXLYqD2Hr3634dabaWvrtceLb9WY2OXXstDVpvWdc1TrBzFJWTACWo6RYuriiJpr36oAso5OnesdElbYFSQGOFL9yVQ2btnN8/pvtakJpTHJhwokMxqq8ZwxAZo6iYhk49Z8MyE30YC6VEiSJQIXX8NF3HMK73zSN9pAhTgX+eT3HN3+w4sm3b5+6buXStpbHlrZa+dkPXYkrVw6neydWye89OhecdqKz3IGxyV48/HQ3hsdVHK6ZbNoeORvs2YTSmVi2BjebAdzgBPc8VMJt95TRyCoK2YC2LDly1STvq2MBGjbQTaIrnJgPO9jK8VIWLI0NaLNBU5js8YDb2tChKSi46mGDnsAE/ufbGREA2R0275xMmiaf+TNVHk/9kLocs1pmajmlCITEtW+o4fVrp0FSoQOy7OCs4kPoh7LIkebTKZBNGLNgscKFToziRQEqCAY6Ylx0lkRb0IUj4/1oNHrw5ovKuPaNS+X3HkVKKte2PL4tLTgA8I6rQXj9tmULJ5ZNDB+oBF6K0TJFb1cJUdKGqekAUexlFsNYb2o5g5zJJRUW/24GN2kFbi5AOPDdB0N8/CsdeHZboBOGWwDbnlgS460sTixdR45bDqIQuJRh1m2FV+QtjoOiAOpjgruo9zbRE5Jr4LAnlgVN3GTRSNfS28/CseIAMvVEyYgEVJ0zSdVkk0gIwbKfQaSETIFzFsX44kfG8TEG3P1gWZniGS25+U8UKRTI1cGU2cS6yaOpP8P03VcEAKEhDhzsw9ZyBeM1Bp+n6O3tmHrX1ZfdRlkZH39f6+9lOMr48pduxGWXXfXYsnnV3xk/vKujp51hoIti8Wwfs7oCAB7SlGVuYjcRwK1WNRMtsS23k7jABIgH3Lm+hE98tYpntocK3IaaUM+lJjoVjVBluX2SdyU2zaO47eSxogSL0X1uhg3JM2+IjhYk+TJpes77t5t4kCwDxSzbFxotXnh2Jg+s/dh3mbzedtOdx0o4sdUgYxWLClH2vjFMsJbNe1oCJkSZ3P6eFCuXJdh1gGLTNp57yLLPFy/t/JI3lroY12P31DRRnB6VCLhENZDoa+foLLWj3ihjZNzH4VEPnf1r9k9NTPzW0KLVMY4yjmrBAeCSi87G5OQ4hvc+g6mpGgKfoKcTGJ+k4KyB0I/hearvjZqkafkG9gRTtKAoBcttgqeItt5MABy488ES/virVTy9NXDBXeDbiproMgIZNWku3pP36HRTwJrc7y0ss3PCbZnQrC8evBPg4UWKl1lr6/08LkVZdcdp4rjw9SSTtLLmJspQNHFz6OhDaGeQsLi58tCzvMxylOKchTE+87vjkBL418ySa/gact/CmtuWXIUJyzxoMQO78ldwCvhMouRLdIUE+w4RNCICzoEwbMcFbcvQ1t4+47GlM73Z3z+rEfjsAyuWzZnq6wL6uoD2igJznFAkqWqCJITbmM5RT+y4btJsufPIQPUgVHHuux8q4RNfMeBu7X7PpUFl7txYE5PAYJWogMurmyiJM2FsYQFtsFtxEfYV4L48NsTthAdYJzoDtkPKjQV0e1nmHN3wcvthdU8W7uusuZVRVwp9OLPa46YBrdR8XDCkDYpzF8b4/AfH8ebX1BQHF8Li30mWLFHk5LnzBkikcgxJ6RoYxb8lPNXXFlICk7UEwyMRDh5uoNzWP5Wm+EB//6zGTMd3Rgs+PT0mBubM3+B7GG9MbKkAKTwuwLieyQtV9FFmE02DBHeCSUgR3HmcSRY4RVIQJiAZwb//OMTH/qqKZ7f5ykvZygWfWXFlnqkFblsObI7zLibw5pPNYsRgVu8kAztxToKBcgb4Ihk3h6Swzlb+3DdIZq6LobTupNPi4/bFIKxd6DxOkln5PLpQbatrHGoubqKgiFZgIIllydWvIFDltLOf1pA4e0GML3xoHFIS3PNwiBRwzWZLXq4MYgwlnTOJrLmsfSe1JdtUSEw3gDhN4Hscl1566fjChUMbjoyMipkwPKMF7+zsRblSHeY0eseyFWfFlXAaoa86lmVuZ+tE5Jp37sHMXPKOFJg2g5sqcP/gJwF+/4tVPLvDB4JCsrBDS/IHQe7MyTqiOXEmbqRgca7YMjw2A3nzuvz/utvZ6090yMIjW2+tbHJwIldO8hhxt36hUSgcRcW23C3UFTvNTVlwBimZXs+yLsvKkgOvGopx40fHcPmFdbBWlryVuqL/W6L1bqPjO3jSx1JKlarWiIGR8Rhnn3NuXKvH7+jsrA739/fPeFxnBDhlPiZHt6O7f2jPnMGlW6vtFVCSqCpXJBOr3IlKMZDKst6ZU6fAuwkTkJzgnkcDfPALHdi0w9dhr0ejJTbQ4VITFLNzbO+lVSvRBnZLytJcdq0loG3gF68A60QdC9yt3PeZxxJFvm3CZ+34FOTAhgVY4Xo385gWkkm8hoLkdIXmHZYl1VSGWjmeLshFBCybH+OvPzaG16+ug5lkSgPoJqqiQC6hAB6bGBPzG5uOgVqO4hSVShXnnr1i67IlC/c88/wOhIE347GdEeAAQCjFzs0P74ii9L3VnhVIU5GbGXN7Rz6ZJLZqYrvgrfgSo5RQkoJ5ApID398Q4CN/2YFNu3zILOyVnxC4i9bbzownrax09vsLk8qC6uDMJwuW3AWvdLZT7x8d3rJpQb+0zLhNQfJvkDnwRYGmILfazoUBWye3QU7hlmemVhk46rYS18DOQa5aiQvBIRsEywZjfOn3x/C61XXQVACx0cE1yEViWfUk4+OJVFzcJCVnVWoLRkKIFKsvWAEhkveu+/6PdjB2VBEwG/xYG7R1DCFq1OD5pX2E8vUH92+6NGpMgXMr+NzKrWQtgJ3TEZUFb2gJ81PsPMLw8MYQ13+jik07fVVejc5kuVmmjVGtmHgEmeW247tJgaY0TzBlC8C7F0F2dG0FpTjBhHtxZLHNhRM003AcHXpHjteS2B7OnIOD5BY908IdLo5M+1aglvmEk+avhVD/gNDcupt0NSIphAAAoc6N5tUUylCbf0jjFMvnx/jy74/hU98QeOSJEDsPE8AvTCj0rpRnE0glRWS4uDQZ+vkcw+QT9HR34BdWrlj/ljdcvG9yahrtbeVjAvyYFhwA/KCMLZs2bAatfjmsnovJmhVbYpV4MKXUbGUkL0hfAHeYYtM+Dzfc1IEPfaETz+8IjgPcNAM3sUCdSYJQoGXWxNEOripOXmZST5qSjEFasBDiqCxNZr24vhWwi86eAg6Kk1HHWltKiUNVAFdNMb19kF8MzRyc6ofbqtBw8ZyTN1vyVHs9hWCQEcXyeTG+8rFR/OnvjmHp3IaqNdHKkutnKaSOOSGIpXokuoyE0NbcowJXXHIuZvVVv7z+oQ2bjwfcwHFY8AzklSH4QXVDd1/921TsvZrGz4Nz6Bopqg9O1i7bqt2dW3GLloQCm/d5uOHrVdxxbxn1lBV07pktN4Htim+hmqBQ48RWSVqsM9s1cxR3Vt8C25mCckLBJ8cYTaBu8kxmvhc3SIsYYOvIQMv6A/lELg/Gsq27FUAH4lp2qryblOI4LDlAE2BWZ4rffHMNgSfxZzd1YMseHwitf1bI85S6ywQD0eeRgKfqnIq6wMqzl+CC85d/+4Lzl20YGx077mN53ACfPzgL4yO7dyxd8eoPH/YfYKPD9BeTOFLA5qlu8KQqS+Xu9rRgzVWywpa9Hq7/ersCN1ghYeFo4M7hpALdVWiyUU5s75+jeaNgmSkcXl3k38Zr6HDtVtbeQbu7nxNCctMHFMd2rLIF5uKzqRaVWW/j4MkoiHUBZOG1JJMDqZYTFdfR4Cd5tVrlwRd5iQpYdIVoDmyBPPttDSDgKgoRErj+a1Vs3eerk2ZHH5pUOEgIwlEDhUx1HD8FSCJBwhJqtOOu1asv/PC27Xt2Llo477gP8XFRFDOqXYOYOvzgznL3a54SbAFSocDt8Ri+F8PnMTiL4bFYAT5rAKUfocD2gxyf+lo7br9Hg9up130UcGfFyWHp3ci8YNSaWLr6tpVr6VhwmVEL2mJCiRbgbqIlNiSbyPaJmfNigFUrJDsOIYua2O87QVnW5BKWtYYdpFWIIbfpia225AFbFM2T0eaJp6qexZHGFKGUuObKaVx/3TiG+iOgoSmKXTlLREAaASKCSBNMJxITKUEjJUjTBOctm423v/GCp77zvUdPCNzACVjwbHgLELYNfj5s27HII/uvDf3dKId1eF4MQlLt2s3ju4mmKbGUeGRjgK/dUcE/3VvJM3FgqEceDVjMqTSIsieVxXYjufRXlAKbqYgtCdrgBppBnlGQ4jrbqhfGSengNlgzi20UE2sbYrvtNQAdt7xlrYlNS3IZUe2M6KJAhQkocWusGIuvLLfiKVT/uia6QtQdUCJVFxEFZKycg9dcUQNS4KY7Knj8+RANAXXuidTnWihlBaqeeS31gZRi/lAPfuHsodvedPn5n9+2bfcJH9cTsuAA0Ns/Dwd33j1GS8vf3dUhHqRsGrV4ErWoBo9Pw2MNMBaB81h1OeMppgH8/d0VXP2xbtx2b0Vl4pg0M1rIxqGFCWULcLtxJgWHDlyVxA4symK+W1ltINe+STOInXWFSWQrPJ8QXWkxo7QttqMHW5bblRDdkFOHmqDVa51HazmDcne+pYc7Lv1cE8+L7ucTT1P3UAqWu/Wlap/iCYJrr6zhzr84gt9+6yQqJAFSLReKWFvxOng6hf5wBLNKh1HiDdRo6cE15w29+5vfWje2aNHQCQP8xC04gAUr3orxw+trQlwTfeFvb8Ht902iqxLjf7xrGG++aBpprC2mB0wmBLfcWcEnv9GO0QlPhYk1UZJi+KsVIgc0yYHUPGyVxAG2xbkLz02eTNIMYIPaJktO7FgTx7YX3Pc20mfGtcQM7zscXcuGxAawWpelC2Y83Ep3s9dlVlwX5cksvsxBTqw4F8CadJr5YG7Jic7GUfRFdQIxk0aiM4lUzWTVyYzRFL3tKT7738bBqMSt36lgKmIA1zmPicDrL6rhk++cRuhT/GRLgHnLr4oOJ7T27l9/C05mnBTAAWAsWQkhxKMovW3tVO3B0gs7xnHLujrevHYalKnYhhcOcNz5wxCfvbmK0UluURK32qsTV2I5cQwwPWJr3TILf6WtdG6gpe5dBDTFUd5r8dySi5Mc9DmSZ+oN7L5jchGLYM+cPEWVxAY2cbdvpilFkELFc9vbW7SkSUnRX0w0X5JQvX9y0UOBnFJd61AH1SHT34mufaNOjnQkygTdbSn+/P0TCD3grh+G2HyAZxLNb7+phlcv97H/8AB+9a1XTHfMWfgoISdMNE4d4PNmVTFdm/qTD/3GZXL7lm0ffXjj4fCSs1MVSM8FHn4qwPV/0477N/poJLp9iKOKtJhYalQ7EWXQ8SWwEhhMzDmKqWW5RbfphZNQDLS03E7XNPvzaOGyP9bBOQkO7tAT+2Um/+XcXK0nmmcXvriYFKH3kTuC8lgVoq21UVQIseiPlCoj3+xDUEiqtEBFt2me6gYJIgRMorckuuqWbrFiyruZKySJU3RXUnzmunFc9Zo6rv+bKh55MgRIgPuf7MRZQwJt1eV1v/MXv9SIyp8sheHJwvToCQ/HMz796c9INnvN+o6qz644N1n7i2uOsI62Bh5+muOP/roD920IkUrd+yNruqrLGWdljS2A6+QCI/3lGfFuDUHmaN+FwCoNfrvsMW21bGLDsxhxKxFB1y5UTInkceSmzLEuk2zeN2WTzbaq3V2e9JAnPrgXknOnoAUaVZgMu+sLLcSL+8ouctLssHJet/DkFucozjVLXBrm8Ks84Mssw6g22cWXf55AleZePD/B8vmqE97u4XbsHu7G0MDi6LwVsz/fxrf+eanj1QlOYZy0BTfj1y6lUSoXf67CJqIj41tvuPWWiH7nwRKeeI4qbsVIwVIbgOcpZrbl5day01YEFkgJHBmwKbbkaNbb2s6cQCC3+OY85Ny7UK4t2y7n3xZFbi1pn+zIFBNNOUi+3l7OOblLUwRRtQBtN78sUByhAZdxc52EkIcAACbtwnynEFQntpifoCopqJQzlZIoiVpWvF9NUJkUWaoaoVJNUOMUREhcem6Er3x0At+6D1j/sw6x/dCiG57ZtuSLOx4aiU4Vn6dyCrKxfdO30NsZnn3vj/dufO8Nj7HhcQrOxiDTBpKUAcxXD9MESveGByHa1a4nj0SVjnG0a6CZWyMHuW29bV5etOBZMf6jWfTMEtvpYva6vBg9I1aDXEqs90m2L0Jdy86ywvfN39OcLmf9B/Ofsveluy6LAwJMgy9T+zHvo2RtZzX9Ill7RruFjF0E1Sr14ZQAQbYMswzAVFBwo0rdfqaqOW8MziNwL0GcEoiUQSTt2Dsc4qf73pKO1Jes9Fjt6fdc+0unjM1TtuAAkLAlqPRVX2jvmHXddde0f+2ZTffTqy87gpA3cMMtVWzc6ue8m3rIimFSw7H1yQIci2krFOo9N/Kv1S299XLzbdedTLpdi82l3zTZbLIIJNtncZwOy5HxZ4JmS0ysCWkW4aVVFR2hlE02SYvkCImMczuBWllEIrQVNzbc+kfETD7NS22ZdbEiEzqtSiQrOZHKVPN7U/yJ4InNPm64pQuEcPzS2nasXnmFWLty+XX7G3NeaGMjpwOapwfgSxZfiE3PvRBdcdnam9vItvJbVvXcOKvjIGbPjvHopgZe2NmBGlFtRCil8KiR/Sw9uwCUgubQ0r1ub+xwSrMOcIDbMg+TuPtzlBf7hxQuOKA1sN1hXQDWtq7812IUVBQywzZNwIeZSAo3Ex+qmpQwSqPt2jevDeD1uqxWINEFncxvt3+ceSI5bTNJy6ohrVZgBIFkOsRZCjQSinUPh7jz/n6EbT4gBzCN0h984Hcuvpnu3JHOG1p1OqB5egAOAMtWLMXE2P505YVv27Jz69yJw/sb7d1dT4JSBtAAoD44ZQgZEFCpK73m0t7RhimBZw6ea4EtOmN95pjyn94Zca4EC7jI1xd/G3E3yn5ZkY83bXKU4ThrNJ/OPlhcZ2JHtR7ueDYtrt5SOiSyYK3dAC73e2ygk0xiNP/fWGL1W0h2pymOvJ2koihCx39TIuEhQZoqr+irl/TgXW9/7cRr1q7asnP3gXRoaMHpguXpAzgAMF5CVK/dNWf+q3837R790k8e39f9/ccEGrSMwOMoM4lAlwOwq0xlQMjiKGA5Fiw39gygaUlP7INsW+riJLRwd0DhdxWtvP07mlSFk/HTH2XkDs4CeEk+uZMyB2AGXAfMZhbqyoTONk48ObI+OboginXNkexXSX1l2fm4dqguLGqoaiGqCFNThIhIYM0503jTaxmuvOyKI1dcuuojwyMTd3V2tJ/QMTrWOK0AL1c6AAD16cP/UJl9BX9ymH1+ePyhvmowhbIn8pxJKluCJpvNQwcGWbETBUWqecxAT1pZ8LyQTzOVIZYJLuK1SDfcN0/9GNoXeGasixZdL2cOH7ON7RDK+LUuJWFMPVzw5zq5dCz4zD5Wc77ytDe7WlZBsNeTcYk0FaCUI048xDHHymW9uPXPX39IVC7+7400+oeFQ4OnfgAL47QC3Iyw1IPdBye/ec1bXk/37B777L/d8+O+NFUH1Jb5imfWlMwVAqoDmG0VrHN8dGLabG0d8MIGPXFfw7LgKKwjpKVhntE1fwJgbwbzzADLsKgndSZASuqdCONoge21zK14Vt1KWpYdbjXb1v/Lfceciyyy0C7lJ93PqrulUlakBOI0BKtefGhw4K2fgGh8k/Cu4z9gJzBO3gd6jDHY34a7vnvPzQtnVT5+0TlzjhAiwAgQcImSpyoWmYfPJDwm4VHpFqnPboe2ZT92DIdDTwgc2gE0JxtnmCItFBV7kmlfNC2c8Me2eSc2sv0WqFt2TIrvy/wNWw2RwtwRjYU1x7MYoEWagQkU7oB5myx1GSrLbWrGJwlFkjDECUeUcEQxRxRxNCKOKGZIBUGcABGWHmnEvR/f+sx9N79Y4AZeRIADwPve9UsQaf3WJYvnfnBw/sBEksSoBKpSUeipLsqeATeX8LhKpldtC9UhFNIUaiRITQdfaWePW+fD5s5HUUoy7yRa8HZ7P9lrF8pNk87C8ulj4O7cIwMuXDe+m6dpgdpx1+fu+dxA6BgRA3zra5wvJcZQuI15TZ1JAJCCIE0VsBW4qXrEFFHCUI84puseanUfUiaYNdAz0dYx94Njk/Gti885da17pvGiUBR7PLO3JiTlty1dOCtZ0OvdcmDvzjBOCRqxzgCR+YkUOsaYJASp7kIQSyDWbZ8pdDdikOxWV1QsCsKI4yxqKpfcxNUL8Sg4vYA90XH0O4Kynba4AsuKG9lOadj2BNWKQ5GFaEOjplj0SB1Dt+WM7cVMASSpoiVxQhGnDCIl1rxJXUSpIKhHHFM1gWDhWfVSW/CewcUH74gmyYxFe07HeNEB/tXrfwc3/e1tKVjfHZ4spQf6+P/Z8PiWMNHNoQy4DTBNEFA9IYhSYCJRHbwkAI8Q+FLJjCp2JJevHJ0ahWhCB9CkaV12MluA/kQkv1MZR9t/MepQrcwEDlejRs7FXWUFOrfSytMsTESzXyHdyyovg23ybHPLzaiqcTjd8BElDI1ItbSxz4WUCuDTdQEaLqpPJf2/Sb2Obz/xs6n0F9Zc8yIf1ReZophx3XuvxezOWvqed7/hn3t7Z71zwYKhmhAis6ycAYFHUA4I2kOCakkVWIxlijiqI4oixGmKaQFM6xrTQjadiyZ5DzNY6KY4FtpsvTN925qgorDv0zVaWWvSahvZ4lm6lliIvLKVoiXNSkeeVV+gNdY358dOuexVcnmCwGugUqqhHE6Cs2nECcH4lI+JKQ+1OkcjUnxcCII0BYQQ6J89rzYw0P/O+5654p9/9Fj0koAbOMVowhMZt932j+ifswpjY3ufmT84d5sk9Mr9hyZCKSV8ThF4QMknqJQYqhWOi86Zwgd+eSe62iaw51CKySmoAB3KsvgVTvNSu5Ra0YVUReea+I3sfUqcGJQM6NRtMNrS2pvIwZYXixs5eOzlo0QJHu0B9eOOJmuCtJgYZ1o0cf9Lti/pfCaPc8ljXPLqCKpagscSeF4M36/j0FgD3/oBx413lDE+0Q6GMqKYZhZcGa4UnEvw0rwxXpr3/qee33XbVReO4fIr3/FSwe6lAzgA3P3dO3DNte/EnsnqU9093Xvnzum/bHJiohw3plEOmQJ3G8fcPg/nLCJYuSTGL18yjoHuKfz4cQ8TDdO9mMKnACcEjOY1v3Ow5+G1DrgLQVYKaKQloGwAmwmva/1ffICj8OxcbC1UHNhrLJA7VwWaLxDlkLHqyDhBWUKVBuEpPJ4gDOoYrUf4k29UcePtczFV64QvOThlIITlwW00RrVaxdDicw/PndP9kSXz5f+Nkg5cfPmvvZSQe/E5eHG8/z2/BQA4eGj0Vs/jfN29/Z/7t3U/6EuiKYQ+RaXM0NGmrOrIeAXlsI7XXzCC5YumsG9jCCkDpGA6Q9yeDLkTylZUpAncluVuGYTVEjxqWKzVWXesMJMTHk20Kf8uYi0382d1fAz3htCeT6o7sIlcSs1rGUpHasx3pS4ARlNwmuC5rQzf+0knwnIJPW0UUgiMTSYIfQqPEzAmUW3vxLzFlx6av3jtHwmR3BqUul4UPB1rvOQAN6O/rxMTE1N/97Y3XUpKAf3s939wX1/cmITPOUqBhM/VBLsRcfT3EnRWEhCZQgqRaeLAzBYwDz+1w1tzcBeTAbL92TJMYRQnxUVI5RvihJFe3NwJF2hi6dJZzAKeLKFctc7WOrgGuWMUCHQD2ULzWBjHj33R5906xqY8DI8GaOukoJCIE6ARCTRigSiS8DrbsXjFZYfmL177CUD+XVA6ve73ExlnDOAA0N5eQa1Wu/l1r70oCXx244M/eqjL4xMI/QRhoG6JjKWAkKbiLorTMXPwi86dPN46593Miu1uRUmAIqjsIa1bvvtmhuWTNOHE3ucxPts08bSVPR0LY5QXApmBlWZFdjQ3N1acQHk+SQ7qYvVaQ2OyisJUAlQgEUA9IajHEtMNgTSV6O/vxaoL144MLVn1sSiVt1TKx1di7cUaZxTgAFAul9FoRP+w+sJVRw4ePLi4v0v8r/roj7z2yjSqlTqqlWnwMFaEOjvY0J0brDIRsJMbmpMJbHDnaWe5tW7CFZn5tdQ5jM46A4RTIClE5hdpts6aXM40bE8n0T/IuMhBdDQ9lUrAtvYtCEFKoPraE5LnUpq648WgqlQAUQON6QiHaYCQSfgsxVWvWx3Pmxt+fOny87cEQfCvlPkvGm6Od5xxgANAEPhi987Nd135hrf58dTTtWSqfhPqPyS1xiitH6lj4099PLUlgNCBsU65CIeWSMty29k2Bvh2QylbVdA/ZCZfuwlk0oMgi1rNqEq2G2nWZY2qnQ1soGbG+yjotXX6Y9Gm4mvz/yRRib/ZxUcsC09Uk1bVBNYFt5DIaqNkuZYSOG9JhP/6uhE8tiVBQ7ahQXvE2ovPlwsWLfu9S1cv//stOw9EZ61Ydsbw5By/M/0D7DE18iQIK5dovH3e81se+pVbvj38P//l3j1oxDFGawTTpA3SqyL0fXRyiTZPItSxLD4HOJPwdU0hzgBOCUxDZKOiGKnQlgIBwDRbBVzAZDzU2t6RF4l1MenX6kIi1oV0fClrWennTKqzChqZ+QPyi7k48gI+7gnOtWxoZQS6UKoEZ1JJeUyo48eVYuJ7KTyewucJAj9CGEQoBdMIwykIXsfIJEVjkuG5fWfj/qfP+uSyhWv+afXKgV3jk9PTl65+1ZmGUjZeEkfP8Y5K17koVxdP37th86bzLpSfi0qrb5izbG161SUh/uKDo+ipJCCEwKeAT6VOmMhzFJ32gJTA9IxllKg2gvqZUQLGbNAZrl6gHHbgUuYIsbufWaGOsvnCOJnRStFpiqtpkUBtvtPEm6QCSFPd6CkF0pQgTQkS8ywoUqHie9LU1CTU8T56Xfa+YEhTZcnHJiV+7y978P1HBjAw6+J07Xnn3XD/pvmfG+x5ctPKVy18WYEbeJlQlOJ425vejz/84p3pX//pf/nUocPDXIwN/MH2beuCwBOgCUGZKkvtMZnp37bGrcALF9R6nZ0YbN+/hNBxMHCj94r1Sqi1DFgx2bAoynHw5aZh7xw20GUTDXOAbeiQuQCF7g1vlXjL7jK6mix0Ng6BSkSgRLnTKZXZZ4Uu45YKhiSRiClHnHAkMsDB8eXYO3l5I+l4zV92d/Z/6t933oLu+e8/07BpOV5WFKU4kmgcjKWQgnz22c3Prr32j++maV2unTp8mLeXKDwNWp8BHlc0xWMA50RFJVK1zBkBNzVXGHFUFAA6IEiqRyqRZq5uADqmw3HQWOqMybxnZh21HhmNmYGiFLytdgWAPEM+z663dX0zshh6QZCkQJJqd71WnmxViRujoCM5uY7k5EzA40IdRy+FzxVFoUyC0hQ+q6PaUU1KpfThPcl7RH//qx5OUvmJss/Q23PmZMBjjZc1wO3xuZvuhO/77WNjE994YfP2a/bt3UuPjNXBGEPgSYQeFMA50fzbAF0BnDG1PqMmmhsb7p0kAnEiESdC3dKFNGWrM4qQAdqSIIkdAqCBnXtNyXEBnBHloM3uRFRmHtli+QhiAd0MKXNgRzFBlBAkSVZ2O1OMGJVgen7iae7t8RYA5wJhkCDwEqQihUAburr7RVfv/H/0/bb3pWk80bfgV880JI5rvGIADgAbn96Gcins3bFr74d/uP4n5zyzY/TqRx7fjDldHF1tDD5HTk0YgccJPJ4vM0YzsDMNPBBFT6JYoN4QqDdSxIlEInIOXvSGksKElVKL/pwswE38jAEiBSiTTvgBobLQWEtHEUrFmaOEoNYgmK6rcGRjwWl2TNR3eFw3WDUA90RmzRmV8H2B9vI0OttGEbafhclo7rcH5l3wVGfX7L+K48ZwW+fiMw2F4x6vKICb8bPndqG3uzq0bv3GL/3kiReu3v7Cc6DJBDxOIQlVRfI5gc8JfE+Bm3MFbs4oGCPwOM0AJSUwNS0wPhljvJYgimTWkoMUrbdFR9Tn1WSWZcAmSkVhBYAzm7LAmRBn8TJ6UswtC67mD7LJqud1z9UtJhUEjYhibJJhZEKiVpeZVs8Z0VRNW29uQK7KpwW+stqUAkkiIWWCObN9vOrseejoWfFteKs/Ajm6I6gsOtOn/oTHKxLgALB5+x54Hl/y1HM7z6Mi+vCuHS9c9uMNz2L3/jFUShylgCDwKQKPwPdoBmzOKTyPINCUxvcUcJJUYNOOCDv3J0iF6853+TJxArjsyavh9yzj4QVefhwAZ9RQiRzcTIOeOsC3K1ypWJFEUOzYx/DcdiBNU1CqLnKPM/ie+t9qjqKA7nsSoS9RCgRKQQpOI8SyE+3dZ+GsFQsf6Okhf9XWteBnQLKZkPln+pSf1HhZqijHM5YsmAsAm6WUmwE89dBDYmDe0NK/2fD4c0sef+JnDDIBIwS+x+B7TFtQBUKfAyUfKAUClZJApZRisG8cW4eBXSMlVDwg9LRGzDQFgVZOqKrglCcOqDgOwCQOtHLjHGVkDiHrtVXkyCnsn10EeaQfZ1Jr2QKBn6IUNPDsbolHnq9gfjdQCgnKAUUYSIAwEMoAkwaYqt/HqKEpFAsXr0o7e1ds3ncI7x9acvE+AJuK3tpX2njFAtwMfQI27d53eFOSpm/0/GDuVZe/+vb7fvhA9eCBfRVOI5RDqpQRbZk5AwJfor0s0Nkeoatax+LBYYD7ODBZQn+Z6Cg7hTmui4YYz2UeqCSzNh9OxSfYunVrgDhJxLLV/3I9szagmY7VVk4aAd9L0VaK0dE2CSDG1gMhOOXobZOQQoASAo9LSKGiCaNYKUZxClTby5g1MHvq/FUXj3MWvaOrZ96eOfPYjlc6sM14xQPcjMGBHgghdgzN7ds1PjF5NqdyDSD/9uD+bcnIoc3dm7cfaR+fSmF8l74nUSkl6GiLMLdvAruGp7FxS4haTBCnQJwSMDsrX5vbVC8bNSXPKTXasuuUAVxJLxuW9XZyKQEn/ttYa/chnGWPCXCWIPQTrFxSQ9+sSWw70g1OU3AmEfgCYUpAKEPoA/WIgPDqxHkrVxw59+ylnHPy3u6+hT8OS5UxSAhCfz7ADbzMPJmn/GcoBSFETE5MjAwODqzr6Kgu+8E93118+Rve/umFS1Y+3V7teSIIK/UwLMFjKcphhL6uCbSVR/D9Jyie3toOT/vDsyx0ob2CQnkFzZ3AOIaEgOPCbE5wAFpRFTvhN8t213cBUxHKVluYRUfMMmU5/1blGxjOXSTxllUjqDVq2DNKMFETqEcpSuUyerur9XmDfU+87rJVT//2O3/107ff8Z3F5Ur7su7e2etqtckRQsjPFbhbH/mfs7F3zw54Hifr7vkRSqWAVdvbbvJ5Y1k8te2SarCFBf4u3PtEHTf+vyoOTHRhoErRGQiUfO0ptVQUMwn0mC0/au2dE/icwuMUnOdau7HqeVqY62QiyGU8jwOeB/hcKE3fM7q01Bq1yCgKzZIQFE0pBTEq5Tq628dxaGwCX7uzC/dvHMDszg6sOWcgXXXeogdn9VY2Neq16whppIuXr4FIEzl//tCZPkUv6vi5B3hxTEyMg9KgK2kc+syRPf/i3/2jp9Lb1s9ZFcXhBfsPDIPUx9EeAu0lCmbXd9NWlVPA94CAk8yp5Gk50veontTSTBa0y2IQmiswpiydRJ547XtA4AGBL+CbujFcwvcEAk9xbc50XW4CXddEpZX5vIFy2EBnB0dbew9SGf306/+KxyamL2Af+PU3RkODPX88VWuMdHV1nulT8JKO/3AAL45b/+l+EILLxmrxVaNjE+9IG7XlUaOG55/bhChOcHCkjkYjBaNAPeXwOUN3m0AlVF5S5RkkCH2C0KcIQ4bQZ/A8ZbmTFIhiASElOKPwufqMkFCTvVQFonqcIAwISiFQDgRCX4GbMWW920oJuqoRCIkxVSNa/+aox+0g1MOcuQtRrvhoq/jPc6/tdoHy9wD5QO/gVWf6EJ/R8XMzyTzZ8c5feS0APLDvwJEHAKxPkmTxoeHD4ubhfaKjq3thUOn8o23b9qAU+thxcB8ODR9EveGhPVRJto0ISBnAKYX0FDUJA4JyqIz/ZA2YrAkkiUApAHjIUA6AOAGm6xKTtQSEAKWAgXMKKVQNEuNdrEcE9XqKkj+N4dFRlCt96OxdAkan0d07gD376p8bOTKxbfb8y2m5vZMyzrcAWBeEPWf60L4sxn94gJsxMKsbANaZ109u3o1SGHRu3b734XLI4bEw/o23L/5obTp+w4GDPgIPuOeHP8Xu/eMgnCAIKYKQg3OJkh+jrzNCnABJyvDsnga8FBic5aGryjHQEwGkjq17PIxOCMQxQV+Xj7ZKBWHoIQgFejrq8LwUsehE9+wLUW1LsH+0gXqD39PZI24ksub1DS7FnKVzHwAao4S8ctznL+X4T4AfZZy7ZBAARgHcCQBS7gCA56anklkHhj2RpinWP/I8JJkGqPISJkkSr75k9fUlPvG2rupIvOF54ILzA4S9NTz9QgnLBzkWzKE4a8EEfrotxeCCEq5aOI5Hn2nDnJ6yN39O53f37dp4PWOeF4YxfE+gxMuYt+BVCAKKOBB0dCI4sLuGbZdcMPtMH6JXxPhPgB/nIGQIALbpR8vx+GOPACDvi6f3d7SXpYwJ0NsTYoXvY+/hNnT3MHR1UXR1McTbCTo6S1i+mGDrwQ709rSRuYNzxubMnXdgzZo1hT3/4Zn++6/Y8f8BQfXEmkxhYQ8AAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMjA6MTE6NDYrMDA6MDBrWG4KAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDIwOjExOjQ2KzAwOjAwGgXWtgAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', '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: 55809247
    {'hecke_orbit_code': 49539595934632552, 'n': 1, 'trace_an': 2}
  • id: 55809248
    {'hecke_orbit_code': 49539595934632552, 'n': 2, 'trace_an': 0}
  • id: 55809249
    {'hecke_orbit_code': 49539595934632552, 'n': 3, 'trace_an': 0}
  • id: 55809250
    {'hecke_orbit_code': 49539595934632552, 'n': 4, 'trace_an': 0}
  • id: 55809251
    {'hecke_orbit_code': 49539595934632552, 'n': 5, 'trace_an': 4}
  • id: 55809252
    {'hecke_orbit_code': 49539595934632552, 'n': 6, 'trace_an': 0}
  • id: 55809253
    {'hecke_orbit_code': 49539595934632552, 'n': 7, 'trace_an': -4}
  • id: 55809254
    {'hecke_orbit_code': 49539595934632552, 'n': 8, 'trace_an': 0}
  • id: 55809255
    {'hecke_orbit_code': 49539595934632552, 'n': 9, 'trace_an': 0}
  • id: 55809256
    {'hecke_orbit_code': 49539595934632552, 'n': 10, 'trace_an': 0}
  • id: 55809257
    {'hecke_orbit_code': 49539595934632552, 'n': 11, 'trace_an': 0}
  • id: 55809258
    {'hecke_orbit_code': 49539595934632552, 'n': 12, 'trace_an': 0}
  • id: 55809259
    {'hecke_orbit_code': 49539595934632552, 'n': 13, 'trace_an': -4}
  • id: 55809260
    {'hecke_orbit_code': 49539595934632552, 'n': 14, 'trace_an': 0}
  • id: 55809261
    {'hecke_orbit_code': 49539595934632552, 'n': 15, 'trace_an': 0}
  • id: 55809262
    {'hecke_orbit_code': 49539595934632552, 'n': 16, 'trace_an': 0}
  • id: 55809263
    {'hecke_orbit_code': 49539595934632552, 'n': 17, 'trace_an': 4}
  • id: 55809264
    {'hecke_orbit_code': 49539595934632552, 'n': 18, 'trace_an': 0}
  • id: 55809265
    {'hecke_orbit_code': 49539595934632552, 'n': 19, 'trace_an': 0}
  • id: 55809266
    {'hecke_orbit_code': 49539595934632552, 'n': 20, 'trace_an': 0}
  • id: 55809267
    {'hecke_orbit_code': 49539595934632552, 'n': 21, 'trace_an': 0}
  • id: 55809268
    {'hecke_orbit_code': 49539595934632552, 'n': 22, 'trace_an': 0}
  • id: 55809269
    {'hecke_orbit_code': 49539595934632552, 'n': 23, 'trace_an': 8}
  • id: 55809270
    {'hecke_orbit_code': 49539595934632552, 'n': 24, 'trace_an': 0}
  • id: 55809271
    {'hecke_orbit_code': 49539595934632552, 'n': 25, 'trace_an': 2}
  • id: 55809272
    {'hecke_orbit_code': 49539595934632552, 'n': 26, 'trace_an': 0}
  • id: 55809273
    {'hecke_orbit_code': 49539595934632552, 'n': 27, 'trace_an': 0}
  • id: 55809274
    {'hecke_orbit_code': 49539595934632552, 'n': 28, 'trace_an': 0}
  • id: 55809275
    {'hecke_orbit_code': 49539595934632552, 'n': 29, 'trace_an': 12}
  • id: 55809276
    {'hecke_orbit_code': 49539595934632552, 'n': 30, 'trace_an': 0}
  • id: 55809277
    {'hecke_orbit_code': 49539595934632552, 'n': 31, 'trace_an': -8}
  • id: 55809278
    {'hecke_orbit_code': 49539595934632552, 'n': 32, 'trace_an': 0}
  • id: 55809279
    {'hecke_orbit_code': 49539595934632552, 'n': 33, 'trace_an': 0}
  • id: 55809280
    {'hecke_orbit_code': 49539595934632552, 'n': 34, 'trace_an': 0}
  • id: 55809281
    {'hecke_orbit_code': 49539595934632552, 'n': 35, 'trace_an': 0}
  • id: 55809282
    {'hecke_orbit_code': 49539595934632552, 'n': 36, 'trace_an': 0}
  • id: 55809283
    {'hecke_orbit_code': 49539595934632552, 'n': 37, 'trace_an': -2}
  • id: 55809284
    {'hecke_orbit_code': 49539595934632552, 'n': 38, 'trace_an': 0}
  • id: 55809285
    {'hecke_orbit_code': 49539595934632552, 'n': 39, 'trace_an': 0}
  • id: 55809286
    {'hecke_orbit_code': 49539595934632552, 'n': 40, 'trace_an': 0}
  • id: 55809287
    {'hecke_orbit_code': 49539595934632552, 'n': 41, 'trace_an': 12}
  • id: 55809288
    {'hecke_orbit_code': 49539595934632552, 'n': 42, 'trace_an': 0}
  • id: 55809289
    {'hecke_orbit_code': 49539595934632552, 'n': 43, 'trace_an': 0}
  • id: 55809290
    {'hecke_orbit_code': 49539595934632552, 'n': 44, 'trace_an': 0}
  • id: 55809291
    {'hecke_orbit_code': 49539595934632552, 'n': 45, 'trace_an': 0}
  • id: 55809292
    {'hecke_orbit_code': 49539595934632552, 'n': 46, 'trace_an': 0}
  • id: 55809293
    {'hecke_orbit_code': 49539595934632552, 'n': 47, 'trace_an': 0}
  • id: 55809294
    {'hecke_orbit_code': 49539595934632552, 'n': 48, 'trace_an': 0}
  • id: 55809295
    {'hecke_orbit_code': 49539595934632552, 'n': 49, 'trace_an': 10}
  • id: 55809296
    {'hecke_orbit_code': 49539595934632552, 'n': 50, 'trace_an': 0}
  • id: 55809297
    {'hecke_orbit_code': 49539595934632552, 'n': 51, 'trace_an': 0}
  • id: 55809298
    {'hecke_orbit_code': 49539595934632552, 'n': 52, 'trace_an': 0}
  • id: 55809299
    {'hecke_orbit_code': 49539595934632552, 'n': 53, 'trace_an': 20}
  • id: 55809300
    {'hecke_orbit_code': 49539595934632552, 'n': 54, 'trace_an': 0}
  • id: 55809301
    {'hecke_orbit_code': 49539595934632552, 'n': 55, 'trace_an': 8}
  • id: 55809302
    {'hecke_orbit_code': 49539595934632552, 'n': 56, 'trace_an': 0}
  • id: 55809303
    {'hecke_orbit_code': 49539595934632552, 'n': 57, 'trace_an': 0}
  • id: 55809304
    {'hecke_orbit_code': 49539595934632552, 'n': 58, 'trace_an': 0}
  • id: 55809305
    {'hecke_orbit_code': 49539595934632552, 'n': 59, 'trace_an': 0}
  • id: 55809306
    {'hecke_orbit_code': 49539595934632552, 'n': 60, 'trace_an': 0}
  • id: 55809307
    {'hecke_orbit_code': 49539595934632552, 'n': 61, 'trace_an': 4}
  • id: 55809308
    {'hecke_orbit_code': 49539595934632552, 'n': 62, 'trace_an': 0}
  • id: 55809309
    {'hecke_orbit_code': 49539595934632552, 'n': 63, 'trace_an': 0}
  • id: 55809310
    {'hecke_orbit_code': 49539595934632552, 'n': 64, 'trace_an': 0}
  • id: 55809311
    {'hecke_orbit_code': 49539595934632552, 'n': 65, 'trace_an': 0}
  • id: 55809312
    {'hecke_orbit_code': 49539595934632552, 'n': 66, 'trace_an': 0}
  • id: 55809313
    {'hecke_orbit_code': 49539595934632552, 'n': 67, 'trace_an': 4}
  • id: 55809314
    {'hecke_orbit_code': 49539595934632552, 'n': 68, 'trace_an': 0}
  • id: 55809315
    {'hecke_orbit_code': 49539595934632552, 'n': 69, 'trace_an': 0}
  • id: 55809316
    {'hecke_orbit_code': 49539595934632552, 'n': 70, 'trace_an': 0}
  • id: 55809317
    {'hecke_orbit_code': 49539595934632552, 'n': 71, 'trace_an': -16}
  • id: 55809318
    {'hecke_orbit_code': 49539595934632552, 'n': 72, 'trace_an': 0}
  • id: 55809319
    {'hecke_orbit_code': 49539595934632552, 'n': 73, 'trace_an': 16}
  • id: 55809320
    {'hecke_orbit_code': 49539595934632552, 'n': 74, 'trace_an': 0}
  • id: 55809321
    {'hecke_orbit_code': 49539595934632552, 'n': 75, 'trace_an': 0}
  • id: 55809322
    {'hecke_orbit_code': 49539595934632552, 'n': 76, 'trace_an': 0}
  • id: 55809323
    {'hecke_orbit_code': 49539595934632552, 'n': 77, 'trace_an': 16}
  • id: 55809324
    {'hecke_orbit_code': 49539595934632552, 'n': 78, 'trace_an': 0}
  • id: 55809325
    {'hecke_orbit_code': 49539595934632552, 'n': 79, 'trace_an': 16}
  • id: 55809326
    {'hecke_orbit_code': 49539595934632552, 'n': 80, 'trace_an': 0}
  • id: 55809327
    {'hecke_orbit_code': 49539595934632552, 'n': 81, 'trace_an': 0}
  • id: 55809328
    {'hecke_orbit_code': 49539595934632552, 'n': 82, 'trace_an': 0}
  • id: 55809329
    {'hecke_orbit_code': 49539595934632552, 'n': 83, 'trace_an': -16}
  • id: 55809330
    {'hecke_orbit_code': 49539595934632552, 'n': 84, 'trace_an': 0}
  • id: 55809331
    {'hecke_orbit_code': 49539595934632552, 'n': 85, 'trace_an': 4}
  • id: 55809332
    {'hecke_orbit_code': 49539595934632552, 'n': 86, 'trace_an': 0}
  • id: 55809333
    {'hecke_orbit_code': 49539595934632552, 'n': 87, 'trace_an': 0}
  • id: 55809334
    {'hecke_orbit_code': 49539595934632552, 'n': 88, 'trace_an': 0}
  • id: 55809335
    {'hecke_orbit_code': 49539595934632552, 'n': 89, 'trace_an': 12}
  • id: 55809336
    {'hecke_orbit_code': 49539595934632552, 'n': 90, 'trace_an': 0}
  • id: 55809337
    {'hecke_orbit_code': 49539595934632552, 'n': 91, 'trace_an': 24}
  • id: 55809338
    {'hecke_orbit_code': 49539595934632552, 'n': 92, 'trace_an': 0}
  • id: 55809339
    {'hecke_orbit_code': 49539595934632552, 'n': 93, 'trace_an': 0}
  • id: 55809340
    {'hecke_orbit_code': 49539595934632552, 'n': 94, 'trace_an': 0}
  • id: 55809341
    {'hecke_orbit_code': 49539595934632552, 'n': 95, 'trace_an': -16}
  • id: 55809342
    {'hecke_orbit_code': 49539595934632552, 'n': 96, 'trace_an': 0}
  • id: 55809343
    {'hecke_orbit_code': 49539595934632552, 'n': 97, 'trace_an': 4}
  • id: 55809344
    {'hecke_orbit_code': 49539595934632552, 'n': 98, 'trace_an': 0}
  • id: 55809345
    {'hecke_orbit_code': 49539595934632552, 'n': 99, 'trace_an': 0}
  • id: 55809346
    {'hecke_orbit_code': 49539595934632552, 'n': 100, 'trace_an': 0}