Newform data - 5160.2.a.i

Formats: - HTML - YAML - JSON - 2025-09-22T09:18:59.861272

• 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': 20640, 'analytic_conductor': 41.20280744298068, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [5, 1], [43, 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': [5160, 1, [3871, 2581, 1721, 3097, 4561], [1, 1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[7, [4, 1]], [11, [-4, 1]], [13, [2, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052523560, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '5160.2.a.i', 'level': 5160, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 43], 'level_radical': 1290, 'minimal_twist': '5160.2.a.i', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}-q^{5}-4q^{7}+q^{9}+4q^{11}-2q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/5160/i'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '5160.2.a', 'trace_display': [0, 1, -1, -4], 'trace_hash': 653600390306882082, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.010', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.045', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.161', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.512', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.015', 'prec': 17}, 'traces': [1, 0, 1, 0, -1, 0, -4, 0, 1, 0, 4, 0, -2, 0, -1, 0, 6, 0, -8, 0, -4, 0, 0, 0, 1, 0, 1, 0, 2, 0, -8, 0, 4, 0, 4, 0, -2, 0, -2, 0, 2, 0, -1, 0, -1, 0, 8, 0, 9, 0, 6, 0, 6, 0, -4, 0, -8, 0, 12, 0, 10, 0, -4, 0, 2, 0, 4, 0, 0, 0, 0, 0, -2, 0, 1, 0, -16, 0, 0, 0, 1, 0, 0, 0, -6, 0, 2, 0, -10, 0, 8, 0, -8, 0, 8, 0, 10, 0, 4, 0, 10, 0, -8, 0, 4, 0, -8, 0, -10, 0, -2, 0, 14, 0, 0, 0, -2, 0, -24, 0, 5, 0, 2, 0, -1, 0, 16, 0, -1, 0, 12, 0, 32, 0, -1, 0, 6, 0, 4, 0, 8, 0, -8, 0, -2, 0, 9, 0, -6, 0, -8, 0, 6, 0, 8, 0, -2, 0, 6, 0, 0, 0, 12, 0, -4, 0, 8, 0, -9, 0, -8, 0, 6, 0, -4, 0, 12, 0, -4, 0, 6, 0, 10, 0, 2, 0, 24, 0, -4, 0, 8, 0, 18, 0, 2, 0, -2, 0, 8, 0, 4, 0, -8, 0, -2, 0, 0, 0, -32, 0, -16, 0, 0, 0, 1, 0, 32, 0, -2, 0, 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0, 4, 0, -54, 0, -8, 0, -48, 0, -16, 0, 0, 0, 26, 0, -96, 0, 48, 0, 22, 0, 16, 0, 112, 0, 54, 0, 20, 0, 24, 0, -8, 0, 0, 0, -36, 0, -8, 0, -48, 0, -16, 0, -56, 0, 88, 0, -38, 0, -25, 0, 10, 0, -180, 0, 18, 0, -36, 0, -36, 0, 9, 0, -12, 0, 64, 0, -20, 0, 16, 0, -26, 0, 12, 0, 42, 0, -80, 0, 0, 0, -8, 0, -82, 0, 54, 0, 4, 0, 88, 0, 8, 0, -48, 0, -32, 0, -34, 0, 0, 0, -8, 0, 8, 0, 36, 0, -20, 0, -8, 0, -32, 0, -16, 0, -24, 0, -60, 0, -86, 0, -6, 0, 54, 0, 0, 0, 19, 0, -48, 0, -30, 0, 0, 0, 6, 0, -24, 0, -8, 0, -12, 0, -58, 0, 10, 0, 10, 0, -10, 0, 4, 0, 0, 0, 16, 0, 46, 0, 6, 0, 48, 0, 30, 0, 16, 0, -32, 0, 34, 0, 23, 0, -88, 0, 36, 0, 104, 0, 144, 0, -12, 0, 78, 0, 68, 0, 56, 0, 96, 0, 4, 0, -64, 0, -12, 0, -32, 0, 4, 0, -8, 0, 54, 0, -64, 0, -96, 0, -44, 0, 4, 0, 0, 0, -46, 0, 0, 0, 66, 0, -36, 0, -16, 0, 36, 0, 4, 0, 36, 0, 34, 0, -20, 0, 4, 0, -88, 0, 26, 0, -6, 0, 64, 0, 16, 0, -28, 0, -40, 0, -10, 0, 10, 0, 6, 0, 104, 0, -8, 0, -20, 0, 0, 0, 0, 0, 10, 0, 32, 0, -10, 0, 8, 0, -58, 0, -48, 0, 94, 0, 16, 0, 8, 0, 80, 0, 48, 0, 28, 0, 0, 0, -72, 0, 0, 0, 72, 0, 96, 0, -2, 0, 6, 0, 72, 0, -8, 0, 0, 0, 34, 0, 30, 0, 90, 0, -48, 0, -72, 0, -2, 0, -50, 0, 12, 0, 10, 0, 20, 0, -24, 0, -72, 0, -17, 0, -2, 0, 20, 0, 24, 0, -26, 0, -84, 0, -64, 0, 42, 0, 14, 0, 56, 0, 0, 0, 48, 0, 34, 0, 4, 0, 10, 0, 48, 0, 8, 0, -60, 0, -2, 0, 4, 0, 32, 0, -52, 0, 6, 0, -40, 0, -58, 0, -26, 0, -14, 0, -40, 0, -8, 0, 80, 0, 64, 0, 8, 0, -54, 0, 0, 0, -24, 0, -44, 0, -4, 0, 33, 0, -14, 0, 16, 0, -8, 0, 108, 0, -64, 0, -18, 0, -50, 0, 40, 0, -16, 0, 88, 0, 0, 0, -48, 0, -62, 0, 0, 0, 28, 0, -24, 0, 102, 0, -16, 0, 0, 0, 0, 0, -2, 0, -24, 0, 20, 0, -42, 0, 48, 0, -12, 0, -40, 0, -44, 0, 36, 0, -10, 0, -64, 0, 152, 0, 16, 0, -56, 0, -82, 0, 2, 0, 26, 0, -120, 0, -32, 0, 12, 0, 18, 0, 0, 0, 78, 0, -4, 0, 32, 0, -24, 0, -44, 0, -24, 0, 0, 0, 16, 0, -8, 0, -16, 0, 90, 0, -10, 0, -4, 0, 20, 0, -2, 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], [1], [0], [-1], [0], [-4], [0], [1], [0], [4], [0], [-2], [0], [-1], [0], [6], [0], [-8], [0], [-4], [0], [0], [0], [1], [0], [1], [0], [2], [0], [-8], [0], [4], [0], [4], [0], [-2], [0], [-2], [0], [2], [0], [-1], [0], [-1], [0], [8], [0], [9], [0], [6], [0], [6], [0], [-4], [0], [-8], [0], [12], [0], [10], [0], [-4], [0], [2], [0], [4], [0], [0], [0], [0], [0], [-2], [0], [1], [0], [-16], [0], [0], [0], [1], [0], [0], [0], [-6], [0], [2], [0], [-10], [0], [8], [0], [-8], [0], [8], [0], [10], [0], [4], [0]], 'ap': [[0], [1], [-1], [-4], [4], [-2], [6], [-8], [0], [2], [-8], [-2], [2], [-1], [8], [6], [12], [10], [4], [0], [-2], [0], [0], [-10], [10], [10], [-8], [-8], [-10], [14], [16], [12], [6], [4], [-6], [-8], [-2], [12], [8], [6], [-4], [6], [8], [18], [-2], [8], [-16], [-20], [28], [22], [22], [4], [26], [12], [14], [-16], [-30], [0], [22], [18], [12], [30], [28], [12], [-26], [6], [-24], [2], [-12], [-14], [-34], [12], [8], [6], [-36], [24], [10], [-18], [18], [10], [-12], [-38], [-12], [-26], [-24], [-24], [6], [22], [-6], [-28], [20], [-12], [0], [-12], [-16], [16], [26], [30], [12], [-34], [20], [-34], [-24], [2], [40], [14], [12], [-18], [-20], [2], [-4], [22], [-42], [-44], [-32], [14], [-36], [-32], [26], [-4], [22], [-26], [42], [40], [-8], [26], [-34], [4], [-36], [30], [-16], [-8], [-40], [-10], [22], [18], [42], [-12], [-26], [2], [-32], [18], [40], [-48], [26], [-56], [54], [-34], [8], [-24], [46], [34], [36], [56], [-28], [-8], [8], [30], [-2], [42], [8], [-26], [-16], [28], [-42], [16], [32], [-10], [-6], [22], [-36], [34], [-56], [-6], [-16], [18], [-48], [-22], [24], [-14], [4], [60], [-10], [-42], [48], [10], [-10], [-52], [-54], [-24], [-46], [-60], [44], [2], [28], [-10], [-62], [-2], [6], [16], [-30], [-8], [-18], [-46], [28], [2], [40], [24], [-10], [4], [-18], [-54], [16], [48], [-40], [-38], [68], [6], [48], [54], [18], [-16], [-34], [16], [60], [62], [46], [48], [36], [-12], [-26], [20], [0], [-18], [4], [-8], [50], [46], [28], [28], [68], [56], [-16], [6], [-2], [20], [-12], [-12], [-20], [-48], [62], [42], [-8], [-46], [-6], [36], [66], [60], [-54], [18], [-28], [-68], [30], [14], [-50], [-24], [-14], [-22], [76], [-26], [-42], [52], [62], [-16], [-62], [-20], [16], [18], [10], [-44], [8], [56], [-24], [26], [-52], [-48], [2], [-6], [8], [50], [-30], [8], [6], [68], [-18], [42], [64], [-66], [44], [-44], [34], [-78], [40], [24], [48], [-18], [72], [-6], [56], [-74], [-80], [-38], [10], [68], [72], [42], [44], [12], [-54], [22], [-68], [70], [66], [-40], [-74], [-30], [-72], [-4], [-40], [-30], [50], [-90], [-16], [36], [-36], [-40], [-46], [14], [26], [76], [22], [54], [26], [48], [54], [68], [50], [28], [72], [6], [-84], [78], [74], [-60], [6], [6], [-24], [-36], [78], [56], [70], [22], [0], [60], [-4], [86], [-54], [24], [-38], [-36], [64], [16], [42], [-80], [-82], [36], [-60], [-86], [6], [-58], [10], [6], [-88], [78], [68], [96], [-32], [54], [-44], [0], [-46], [66], [36], [-20], [-88], [26], [16], [6], [104], [10], [-58], [94], [-72], [6], [90], [-48], [-50], [10], [20], [-84], [34], [10], [-60], [-52], [-58], [-14], [-44], [16], [-50], [88], [-62], [102], [-24], [-44], [-82], [26], [12], [78], [-4], [-24]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 36028797052523560, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '5160.2.a.i', 'level': 5160, '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': [6, 4, 7, 4, 7, 3, 4, 7, 5, 6, 6, 4, 6, 5, 7, 3], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'ALdims_old': [49, 71, 64, 56, 50, 71, 64, 54, 57, 63, 67, 52, 53, 65, 69, 52], 'Nk2': 20640, 'analytic_conductor': 41.20280744298068, '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': [5160, 1, [3871, 2581, 1721, 3097, 4561], [1, 1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1041, 'dim': 84, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13], 'hecke_orbit_code': 33559592, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 3, 3, 4, 4, 4, 4, 5, 5, 6, 6, 6, 7, 7], 'label': '5160.2.a', 'level': 5160, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 43], 'level_radical': 1290, 'mf_dim': 1072, 'mf_new_dim': 84, 'num_forms': 30, 'plus_dim': 38, 'prim_orbit_index': 1, 'relative_dim': 84, 'sturm_bound': 2112, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [84, 0, 0, 0, 0, 0, 0, 0, 84, 0, 8, 0, 8, 0, 0, 0, 16, 0, 8, 0, 0, 0, 0, 0, 84, 0, 0, 0, 16, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -24, 0, -12, 0, 0, 0, -24, 0, 76, 0, 0, 0, -48, 0, 0, 0, 8, 0, 0, 0, -32, 0, 0, 0, -24, 0, -8, 0, 0, 0, -48, 0, 16, 0, 0, 0, -32, 0, -8, 0, 84, 0, -32, 0, 0, 0, 16, 0, -24, 0, 16, 0, 16, 0, 0, 0, 16, 0, 8, 0, -16, 0, -16, 0, 0, 0, -8, 0, 0, 0, 16, 0, 48, 0, 8, 0, 8, 0, 0, 0, 92, 0, 0, 0, 0, 0, 32, 0, 0, 0, -24, 0, 16, 0, 0, 0, 32, 0, 72, 0, 0, 0, 8, 0, 16, 0, 32, 0, 64, 0, 48, 0, 16, 0, 16, 0, 32, 0, 16, 0, 16, 0, 32, 0, 8, 0, -16, 0, 108, 0, 8, 0, -72, 0, 0, 0, 0, 0, 104, 0, 40, 0, 16, 0, -24, 0, 24, 0, 0, 0, -64, 0, 16, 0, -24, 0, 72, 0, -32, 0, 32, 0, -32, 0, 0, 0, 0, 0, -16, 0, -56, 0, 16, 0, 0, 0, 0, 0, 48, 0, -72, 0, -48, 0, 84, 0, 80, 0, 32, 0, -48, 0, -64, 0, 24, 0, -48, 0, 40, 0, -40, 0, 0, 0, 32, 0, 80, 0, 32, 0, -72, 0, -40, 0, 0, 0, -32, 0, 96, 0, 16, 0, 96, 0, -8, 0, -8, 0, 0, 0, 16, 0, 16, 0, 8, 0, -48, 0, 0, 0, -72, 0, -56, 0, 0, 0, -128, 0, 132, 0, 48, 0, -8, 0, -48, 0, 0, 0, -24, 0, 0, 0, -32, 0, 0, 0, 56, 0, 0, 0, -32, 0, -32, 0, 8, 0, -16, 0, 0, 0, -48, 0, -80, 0, 8, 0, 64, 0, -48, 0, -24, 0, 0, 0, 32, 0, 64, 0, -32, 0, 40, 0, -48, 0, 8, 0, 48, 0, -80, 0, 0, 0, 80, 0, -32, 0, 48, 0, 48, 0, 92, 0, 64, 0, 0, 0, 72, 0, -24, 0, -160, 0, 144, 0, 0, 0, -48, 0, 88, 0, 32, 0, -80, 0, -32, 0, -12, 0, -32, 0, -104, 0, 8, 0, 0, 0, -64, 0, 48, 0, 104, 0, 152, 0, 0, 0, -64, 0, 24, 0, 16, 0, -80, 0, 0, 0, -16, 0, -40, 0, 112, 0, -24, 0, 16, 0, -16, 0, 48, 0, 104, 0, -96, 0, 16, 0, -80, 0, 40, 0, 76, 0, -88, 0, 32, 0, 0, 0, 104, 0, -104, 0, -24, 0, -72, 0, 80, 0, 0, 0, 56, 0, 0, 0, 16, 0, 32, 0, 48, 0, 0, 0, 0, 0, 8, 0, -48, 0, -40, 0, 32, 0, 32, 0, 32, 0, -24, 0, 32, 0, 40, 0, -96, 0, 0, 0, 48, 0, 24, 0, 64, 0, -144, 0, 0, 0, 64, 0, -32, 0, -72, 0, 8, 0, 56, 0, 64, 0, -128, 0, -8, 0, 112, 0, 0, 0, -8, 0, 76, 0, 0, 0, 72, 0, 32, 0, 56, 0, 56, 0, 32, 0, 64, 0, 16, 0, -136, 0, -32, 0, -152, 0, 128, 0, 0, 0, -240, 0, 0, 0, -96, 0, -288, 0, 72, 0, 0, 0, -168, 0, 136, 0, 80, 0, 0, 0, -128, 0, 96, 0, -16, 0, -120, 0, -24, 0, 32, 0, -32, 0, 16, 0, 0, 0, -64, 0, 104, 0, -72, 0, -40, 0, -8, 0, -96, 0, 0, 0, 96, 0, -208, 0, -48, 0, 0, 0, 112, 0, 128, 0, 0, 0, -48, 0, 84, 0, -32, 0, 16, 0, -256, 0, -40, 0, 8, 0, 200, 0, -48, 0, 104, 0, -16, 0, 8, 0, -240, 0, 112, 0, 112, 0, 96, 0, 24, 0, 16, 0, -152, 0, 112, 0, -32, 0, 0, 0, 144, 0, 0, 0, 80, 0, 48, 0, 0, 0, -32, 0, -224, 0, 96, 0, -96, 0, -24, 0, 0, 0, -152, 0, -56, 0, -32, 0, -48, 0, 120, 0, 64, 0, 40, 0, 96, 0, 24, 0, -96, 0, 144, 0, -8, 0, 24, 0, 64, 0, 112, 0, 96, 0, -128, 0, 80, 0, 16, 0, -256, 0, 84, 0, 0, 0, 208, 0, 0, 0, -152, 0, -72, 0, 64, 0, -208, 0, 16, 0, -32, 0, -176, 0, 80, 0, -48, 0, -80, 0, -144, 0, -48, 0, -88, 0, 176, 0, 0, 0, 16, 0, 96, 0, -96, 0, -64, 0, 0, 0, 32, 0, 304, 0, -64, 0, 16, 0, 56, 0, -112, 0, 32, 0, -232, 0, -128, 0, 8, 0, -136, 0, 80, 0, -24, 0, -304, 0, -64, 0, 48, 0, 160, 0, 120, 0, 0, 0, 64, 0, 24, 0, 16, 0, 64, 0, -224, 0, 0, 0, 104, 0, -96, 0, -32, 0, -128, 0, 24, 0, 16, 0, 16, 0, 148, 0, 112, 0, 96, 0, 224, 0, -16, 0, -256, 0, -56, 0, 0, 0, -136, 0, 88, 0, -96, 0, 144, 0, -40, 0, 64, 0, 96, 0, 16, 0, 16, 0, 8, 0, 24, 0, 96, 0, -56, 0, -200, 0, -24, 0, -272, 0, 288, 0, 8, 0, -32, 0, 32, 0, 64, 0, -64, 0, -24, 0, 0, 0, 64, 0, 232, 0, -16, 0, -48, 0, 8, 0, 0, 0, 160, 0, -96, 0, 16, 0, 0, 0, 0, 0, -16, 0, 24, 0, -56, 0, -64, 0, 32, 0, -224, 0, 64, 0, 0, 0, -72, 0, 0, 0, 112, 0, 192, 0, -64, 0, -144, 0, -48, 0, 80, 0, 8, 0, 4, 0, -8, 0, 48, 0, -80, 0, 64, 0, -264, 0, -80, 0, 0, 0, -56, 0, 64, 0, 0, 0, -368, 0, 24, 0, -32, 0, 0, 0, -160, 0, -56, 0, -48, 0, 64, 0, 16, 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

  
  {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '5160.2.a.i', 'source_level': 5160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '5160.2.a.i', 'target_level': 5160, 'twist_class_label': '5160.2.a.i', 'twist_class_level': 5160, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3814275
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 2}
  • id: 3814276
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 3}
  • id: 3814277
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 5}
  • id: 3814278
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 7}
  • id: 3814279
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 11}
  • id: 3814280
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 13}
  • id: 3814281
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 17}
  • id: 3814282
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 19}
  • id: 3814283
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 23}
  • id: 3814284
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 29}
  • id: 3814285
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 31}
  • id: 3814286
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 37}
  • id: 3814287
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 41}
  • id: 3814288
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 43}
  • id: 3814289
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 47}
  • id: 3814290
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 53}
  • id: 3814291
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 59}
  • id: 3814292
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 61}
  • id: 3814293
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 67}
  • id: 3814294
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 71}
  • id: 3814295
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 73}
  • id: 3814296
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 79}
  • id: 3814297
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 83}
  • id: 3814298
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 36028797052523560, 'p': 89}
  • id: 3814299
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 36028797052523560, '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': 9, 'label': '5160.2.a.i', 'level': 5160, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHFQc5oa+FyAAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P153GxZXd+Lv9dae6rpmc889uk+5/RITzTd0NDQCIigEWVSicYoaGLMeJMYExONv3hVEq/RRKKigkRREBBkhm5oep7n4czzfJ6x5j2tdf9Ye6p6nkbj5f5azK0X1TWcw6mqvT/7sz7fz3dYgv/v9i27feKz9yCl2PDMgROTJjVm86yL50oeO9rltpfNiFuubC7c/XjK5tnF2RuvOG2eOrCFwJNsmO3TbKRCy90rYM7Pbn4NwCZgGRgIIV7qn/Zte3Ne6i/w7XI7dOwcwCVapxsMQvcHEZ/81J+ze/MZdm5aJFAeR059Kl4yN/zCoLf03Y4w8elzHhtmBHF/SHcl8U6fnv/9k6cFIh3++MmJXnT2/DybZuHEMGKimbrD5NjnfvMP9/3C86c+Lf7rf3zvr54/ffTPguSpx3or+5XBByGkku554GitufmlPiTfFrf/jxpe5PbCoYsYEUy55uht/aWnUULGp5cm/3l3KN8ohSGKEx5//EmatWUu29xmuas4eaEGOiSJE6Zbhv0nPa66JOXsRcn0REKr4XP4rEOqY+aagjMLMVfv0hw8KZmZ0HieRxA4HL0oWe7BnvUJu7dPs/eKl2FwcRT0I+er+44Ofz01qXv7q6/msp1b7saEy0Kuf6kP2d/I2/8H8Oy2tDwP8J3NRnjp0WNd/R9/8+P6Pd85cUkvXP9vep3DNAKPYyfP0eksEMUOS31JajwC19DyDRc6CQfPDtk8EzBZUygRMzfhsXuboj8EIUNOX3QYRnBmQaDwGIQxl24zbJjuIZE06hEb13XZf3yGxeUajSDFd2L6Q027p4iShKnpORrNzSgn5Krdl/DU/oVfuXnPuaNbd/+IjMSk3DznHMbw5YnJ2Zf6kP6NuP1vD/AXnrkHKcRtiyvxm549vPCOKy65uDfsefz+pw5wy9XLzF90OTHfZ8usou7D3KTm9JKPkgYpNJumUk5cCGjUDY8dDumHgsCDhRW4ZM6hXvPZMJdw29Udnj86wWP7BC+cSHjlVSmbZzWNhmDbhmXmlxWBD4PQ8MT+WZo1yZELHhunh0gBnko5t6iYaCRIUjavj5lfaDIwmtdd2+DE0pUEzZRXv2xy//mldZ+IEvkVIbj7O9/42pf6EL+kt//tAN7rtqnV/Olz5+b/z9/+yFe8Q6deSH/ie4IblpYnbvyTL55nw7rjvP7aBnc+OslAr/DGGxzufSpg19YBvYHL2SVFGAt8J+GKrSnrp0MWu5KnjkwQJ4Ldm4dc6Cqu2TXg4DGXztAhCuGmK3ocOFWnVYvYd9rh5j2SKA7pDB2eOi65bkdKu+ty6ZaIKJY8c1Sw0A3YOAV7t3XxHEkUw7kll26YcNkml288ZXj9jT3CwSRffKjPa1++wrWXbOWRg5tZGPQfe/ftC49vWvcyNb31u6J6c+bfpkm0ND018VKfgv+/3v7WB5lHjh7Hcx3xyc/ey2tvChX9r3zg0FFnz6NPnn316ROn1bmLHQ6dOMWGZovNMw2eODzLbdctccPeCb78SJNHD/fZsdFw9qLDpnWG/hlDbAxh7HJqXrJ+JkQIw+4tIS8cdfC9Abs2epyfd5lqCW6+IubpQ5pnjrTox122b4h4mTvBmQV46mCNPdsTts3CkQuCmh+DUBw87WCIkSZi65yhWQMlIlzl0h7A1nWK42cFN+7tMlVv8NVnBa2JmFde2eLx5+Hex4+wdWv3RhM5Nz6/7xhnHvzz1G9uvaKdBgc++NGP/9RrrjDpum23YXRi5tZve6lP0f+rt7+VAO8sn0VKJcNhO/j0n/xCeNtbf+5fpmn6wz//O8fin/3Bg5cHYiLoLvs0fRj2JU8chB9+Q4+rL21ydjHgjsd8vv/VK1y7a4avPelx6dY+GyabHD+bcNPeiP2nPCYbMSB57nidTdOaxWWH+59Puf8QXLPdcMVWyVJXcO8LktuviplsKJa7TU6dc1jpGJQb8SNvXubE+RYrXcH1e4Zcc+k8LlOcX5jj1DxcsUMziCTHzvtM1R32nZbs2QrdrmTP9gV2bgr42qMexxcHvP02zYWFKfYdg3aYct1lEULXOHB0wHNH9qvDF4+9tjXVv/k//2T9Jq1vcMNw+D/f/P0/+1+eff6QPzM9MYyTRO/Y9rfPmflbJVGSVCOlkGm8PNlZPHJLGIsPHjp0NLn/oYMzT75wvvXcyYSpuQV+7gdCTLqZpw/WeOpgzMHzA970yja3Xt7g6QOT3P1MxORMj+97leTZ/U3ufW7A5bsStkzXwAwQjsCVDofPOaxrpbRDQzMIOXEx5flTKU01xRtf3mN5pcnDLxiu2im4bFtKmghOzrukqeayLYIrL4l5+HnBUq/PG26U1BpnOXC8yfFzU9R9QbfvMjuRcOSch+eEKKkw2mHrhiWu3K6458kpHjsa8723tVnfmOSeJwKePNbn5muXecvLPQ6fmOOpA5qnj8T0ZY+fe89FNk2u49CpWZYG6zv1iZ2LOy+51EmQ77vmyl0PrpturYDRQsiX+lR+y25/axj8/IUFzl9Y2HHvkye27NigP7HZ/cLEyVPtxrGTmjhyadVh06Th6eNT3L/vPG+7ZZmtbYd2z6Ez8PnE1xrMNDtcs9thGDW47znDp+/v8/ZXtwmCJk8cctk002Om5XHqgkNnkNLvD2isd4m1w3RDsWlK8pqrBjx5KMGRAt9L8OsJjx1VNJouW2YjwgQ2z8B1e+Zp9x3CZIpYOzx7XPL0we34KsD3UpzJkEEIE60BO4FOz+PUxZSZyT5zE02+8rDHsycj3vbaHlsmW9z/dMAzx4ZcsWuZH3xdysHjUxw5LTh9MeFcO+Wtr+1w5bYa+441uLAkOH72fOvE2eOtTvQIU5u2/Nn7/+WwHan0HVrtOT3oLx6v1Wde6lP6Lbl92wPcGAOw53Nf/MYm6bi/c+8D+y/7hQfvU7/3z08x21zHcmuGbt+lN3AYhJqdQ/jDr0yzcWaRW3Y79IezhLHLIKrz8AsRUbzMNbvB9+o8sl/xqXvaXLVjhVdf0+DQqRbzK0NqXsLclGb3ZsW5RcVSW9LppjRrIb7nsmUu4th5F0cOeNurHB4/4HL59hUmJzt84Yk6nYHP7ESDJw56XHFJl5kJl+MXBZvnXIIgZipIcR2JlILH9k0z0ehT80Iu3arwZI37njHU6yu8/bXQdCf5+qMe+08PuGbvEtftglNnN7DvqMvxszHPnzbcePUyP/qGmNMXN3J+MWBhGZbbCZ0BPH92wGTv4cby8Tsacu7Nd+NzKIzSnzTGnAUOfLtnUb9tAd7rLuI4zmWHDjz7sqXl3j89evTIbfc89AIHTnRYHPr87ucb/Kt3tdk4F9APFYPQIwxdBqGhd7bGFx5u8MorF7lujwKmMMblqcNTfPhAj7ff3uGWy2NmJxs8tm+Krz48ZOPskL3bBesmHI6cdekPY3p9aPcEjmPYPJuCkkgZMehLzi0HoGusm4i4dHOf+5/xCUn4vltj0qjO4dOSuSmHzTMCrRPmlx06w5BB7NHteWydDZlpDVFK4jiCOHY4chrmpvrcfE3CpimHgycmuG8/nF3qcuM1XX7gtSmnzm7gyQM+B04kPHk0JRZd3nrTkOFgltMX6pxflMwvxyy2E04vSWQw5KfftkzDCzh++DHVGZ7cG0xcdddyN7hbOsFvLCytPJ0kyaEN6749fXX1Un+Bv85tZekkruvvOH96//917Ni+n7/n3gd37D9wlDCMUFIxDBXPnXDZsqHDq66IiWOPOHXQRmGMwEFz8rzH8QXNjo0dNkxB3Q8IXAeFw1NHFOdXhrRaEVfu1OzZ4tPtBZyeF3hOTGwUZ5ddzs5rOpHAcRzWTyZcWNYcP+cx1ZQIHNZNxyx1DVfvGCJlnXOLdXZv9jl4wufUguGKHSEXliRx4jKIFHu2xghh6PYl6ycT5qZD1k1HuBLafYXvw+4tguXlJl97vMahs0Omp9u87oYBN+/xOXJyHU8d8Hj+aMLR+YjmZJsf+84eV26f4MS5SU6edzk7n3JhMebkouDgvOF7b73Aj39nQr8/zcXlJhcWDQcOn+O5fcd2rHTidw/DdPuGDXMP/oN/+I9WfvM3fv2lPvX/y7dvq/Wn3z6I4wZz3ZUz//T08SeuXlnpvu3goRPML/sstgWLKzELKwkXVgzHlgUzs21+9l0LvGJ3g2NnZzh5vs7pi4qzF1NOno85Oq9x6j3e/uoeb73J4+T5GfYd8zl8WrPvZEwqh2xdF/HKqzXb10lOnm9w6oJkqaMZJhopYaoJcxMJSx2HTk8x1YpwhMNUKyXwYx7e53PJBs3cVMK5hRqu0pxZ1KybMlyyMeKhfT6ep5hpglIxsw1Y7gkWe4J1Lc10K0ZKCCPFUsfhxAWHk/MJ2zcMueXqhC1zDqR19h+rc+S04YUTKScWQ77zVct8/6tDamqK4+emOH7W4ezFlLMLMSfnDQfnDS+/cp6feWeH9RNTnJ2f5PxCwMVll4UVuLAYcnZ+wNZtu5iYmP70a1798md37tj8G/3BcP6Gq3a+1FD4K9++bRjcrPwWrnOspftP/4+l84//g6X5E1d02/OAj0aRaokxAmM0AoM0cPx8wGOHBZdtaXPFdg24gEJKB0dJfGW4uOCy/7RiqAfs3d5h12bN3JTDhikPT/gstn1OnRccOyd45jgcPxcxvxzS7qYMY5fA85hrGjavixEiZRA67NgQ4ypDrAVx6rHYkQxCF88RCKOZm9TMTqQsdXw6A8EwcVnuCzZMaBbbmpMXFIHrsWEatsxFrJ8Zsm4mZMNMyJb1hm0bFJdvdampBsdOtnjoOY8nDiY8cyImVV3ecmubt73SUFMzHDwxybGzDmcuppzPwH14wXDjlfP8+/css3V2grMXJ7mwHLDYdllqS5a7KZ1+Sj8UHDm5yPEzK5c/cWj+1QdPXthx9NSFr9z8Hd8f3f/VT7zUkPgr3f5GM/jiUhtPGlLDLz/w1JFX/qtf/7T8vlcceuU/+TvnnPmV9ax0Gyy3AxbbHotth8W2YKmdstSOWVxJOb8CRxYFc7Mr/McfXuTlu+ucujDN2YsNzi44XFg0nF9IOD2fcrGbMDk95FVX93jFXvBkDV/5XFgKOLfgcH5J0A8hSTSBp2kEKVMTCRo4cT6h04Pt610atRBjBAiP3kCzbUPI4ooDxkqRlR6ECRgMS+2IzetcugOFUAahQ1qBy7aNQ1b6ghNnHVLtMNOSNAOB70KSCPqh5PyS5Nyi4cJygu8PwU24+Yoer7xSMNeqsbjc4tQFn7MLcGEh4cJSwpklOLJouOGKBX7xh5fZMNni5Plpzi/WmF/2WGhLllZSljsxS52U5a5mqSc41xMsLPb4tX82TN71+sYDzuRPaK+594EkET9bqxk8/29udvRvLIN/4Pc+yW23Xs9P/7N/+Uuf+uxd/+KP/+xrl+470d6x/3Rf3np1h12bUtKKrjZGgpGABARCGBxh8CScXazxyGHJ1buW2Lt1SD0A15F4rsLzHBo1Sd2V9HsuB44H3PmEx4mLIZ0k5sCpkPUzS7z1VctcfWmXG/a2Ob6QsNAX1P0hR88a2p0GV10iWRmm7DuuaNYdnj8Bl20yDKOUYerhODFTTdh/ykc5Ka5McFwYhJKX7+0z6EuuvjSlM0g5cbbJzg2KRj1iJTSsm+yz3Ovw8bvgqWMpzxwbsn3TItfs6TA1HfHmm7t8/2sMuzY0SeNJjp2Z4Mhpl1PnNacvxpy+mHLkouDkSszLds/zH3+4y/rJSU6dn+bCYp35FY/FtmS5ndLuxqz0UlZ6huWe4HxfsdBJuGHvAv/guxekg9px8uTZncMwuml23ZZaUJv+2v6nP8V//x8fe6khs+btbySDf/iPPsXLX7ZZffnuQ//h5OkL/+6FA8fVUjticeByqmu4fNt5fv0n57l2V50Li1MstusstQOW2i5LHYflLiy3U5Y7CUvdhIU2nFoWOLUht1y5xLteE7FzXYOVXouLSzXmlzwW2oKltpUIy11NZ6DphIb+MGGmFbNtvQYEvms4fdFFSJ/t6xQ7Nxk2retzYTnk6UNNrr/MUK8t89zhaZqNiChymZnSDIZw+bYhH71rkj1bE8LQMDshidMBzcDn+eNDam6Da3cnPHM04sKix+YZn50bYduGCKViTi+A5xqEMGxfnzDVlHQHPr2+S6fvstRRLK3AYluz1E5ZaKecb8PiMGXb5h7vum2BW/Y6BG6LcwstFpYDFlYcljqC5bZmpRuz3LXgXuzB+a7iwkrCy/ec51d/cpFdG1vML0+w1A6IkgaNyZ1po7X+l+YHl//ihHcivfGWt73U0Fl1+xsF8IMHDxIEQe38uTPbHnrs2XfuO3jmPx04fBqEYhhDeyC42Fec6SRcf8kFfu0nF7nmkhoXl6dYXKmz3AlY6rgsdxyWO9Duala6CcvdhKWO4UJbcLZnQPR4261t3vxyzSUbA6KoznI7YKXn0e4qlnuCbl8wDA1RYkhTUNLgu1DzDZMtw7rpGMcdcuRcxLOHfXTS4E03RTjuCo/vm2DHRvjSIwm3XuVzsT0gcBRJGjM9BUns4rgJi4t1XnVdhy892GTnRnjsUIhLnTe+XJOIAc8eSTl2OsCRHuunHKYagpov8DyBEpBoiGLDMIJu37DS03T7mpW+ZrFnGKQp27f0efMr2rztlRHoJosrE1xcqlm93XFYbsNKN6XdS1jJwL3Uh3MdxXwn5YbdF3j/T17kiu01Li5NsdKp0+l79ENFFBn8xhZwNv3c9Por/mz7ts0nh8Ph4LLLdr/UUCpuf2MAfuzoYdbNzXmHDh/+0UOHD33g8cefEufnu3IQGgahph8aekNYGVqQn+vGvPzSi/zqexe57tKAhZVJFlcaLHd8Vroey12Hla6g3TW0eykr3YR2T7PcM1zsCs61NVOTfb7jhi43703Yvl7Rqrl0ugG+KwFFlEi0FmgD/SEgNFPNIYfOGLSJuOOxBmG/xqWbPW65uk+sV7jniUmuvczl0Pke7eUWr7i6z9ce91k/bdh3wvCPvrfDvuM+66cldz6huOVyxVK/w9FT01y7O+KeZwckYZ2br/DYtXXIIOnx1ccVpIIjpx1adQdHQH8g0UaQakOcAFLjeJp2z9BoxmzdGPLKy/t8x/UJM42AC0sTLK7UWO7YY7PcEbR70O4mtHsJ7V5Ku29Y6kvOdwUL3YSb9szzS++d55qdAfPLE6z06nR6Pt2+S3/o0B9KOn3BIKrpXZddbXbuuvSndu7c9eHFxYVoz+7LXmpIAX9DAG50KHXSe+vRfX9x6ZFT/vsffOhxdxjZ2ujeIGEw1PZ5qOkOhGXygeRsO+Hmyy/yy++d5/pdHiudCeaXm7R7AStdj5WeQ7uraPeh2zN0+gmdXkpvoGn3DfM9wXwP4jTkmssGbJhO6fUN3/mKkB0bNEkqcaQhiuHupwNOXgzYOJXw3JEAdJ29WxTX7dH4QZ/HD/WZX2hw5Y4GrcllHnzG5cbLAhb7Kywvt9iwwfDIPsUPva7Ho/sctqxzWei1WV6a5rrL+zz4XMp0bZIrL+1xsd3mkRcmqTkNbthj2L1tCLLH08cE66ZjLszH3PO0yzBWSAmpNuzYGPEdr4jo9hSbpjTXXQZRVGepXWep7bPSc+n0Fe2epNODTj+l00vp9lM6fc1K37A0kJzpCNqDkFt2z/OLP77MDZfZi6PdrdHpW3B3Bw79oaI3kHQHgk4vpT9IuOplN8Rnl9W//okf+e7DE83a5+uBq19qbL3kmczhsM9gGP7w+ZNP/Pr8+UPT508NmWopugMbKAJIkSCkBiEQWA0qpUFKh0cPrudnf9/he29Z4t2vW2Ln5ojziy18r0bN96j7Lo2aQ7cmaQ5cJhoO/WFKb5CyPrQXTnfoszQfcPqUIUo0Z84n+L4BBJ4yOFLQHygELknf4WU7BLs2GbZt7hOmXb78qGL/4SnecL3PdZcv85EvGzxRZ8fmPs88qNg8qZht9QlUjSh2udiFRuCwZb3gqf0R1+2u8ZprF/jDLwzw3Cavv8ng+n2+/kjElx5u8MKxGpdsqrNjY8rcVMTO2ZirdqQopXGUAQx132du0ieKXbp9j+cOufSGDv2BojeU9AbQGxp6ffvbu4OU3sDQGRhWBjDfV1xYNtQn2vz0m+b5O7eEXHNJg3MLLdq9gG4BblWAuzcU9IeGMDIMQsOddz3ips7Mr99z3yNLb3jtTf+82+v/YbNR/98X4EnUA/jxU8cf/OXDL3xtethv47s+9UCgjfW1QSEEIFKkAClsJ42SBiVTPCl55tAcTx5scOjsRb73lT1eecWQyWaLpXadRiegNfDo9R262ckeDB36ocMwNAwjTRQb4tiQpPYeJR5Gg1QC1xEEnmCyKZhqwoZZzZb1fWan2nzlcbj3SRepJ3jD9S4v29vl/hdiomGLW14maA8GXFxscPNuzexkn5rjM0wU850YpQUv2+1Qb4Y8cSDg1ddN8IprujxxQIGZ4PorPH7sLUt87amIOx9tsO9kwLY5xYbpGlPNOhNNqPngOgYlQRvYd0yQpoI4EUQJhDH2N4Ypg1AzDDX9oaYfanoD6IQw35Nc7EKoh9x+7RJvfWWbH3y9JklanF9o0OkFdAcevYFLb6DoDRT9oaA3FAxCY/+9Ycow0oSRZmXxHB/75Fem40j/5+/5rlc77U7/9ydaLx3IXzKAdzttwlj82Nnj9/3ymaN3rNNJB6lcXAcCT6O1wNZRCYRQCCFQkgzcoJTBUQZXaWquYKFf42N3beHrT3a49aoV3nP7Clft7DEzWWdxpU534NMfuBmwbTp/GAnCWBIngiSxS739TBtUOg4EHtRrmulmzOZ1fRJ6HDoT8/F7Ao6eajDp17jxCoebr+7wyME2dzzU4qbLArZt7PPRuwRK+LSaMSu9EG1ACZhr9el0PXRS4623XuRjX6qz60LAm2/qE8WL3PPsDHEa8PIr1vHmGztctrXN15/o88ypOk8f89gyLZluCeq+wHPtRSgFCGHQBrQ2xEl2scaGMLYX8jCCQQTdoWA5FCx1QThDrt2zwnu+Y4Vbr0iZadVY7tRpd2t0+z69oS1Uy1eCfigZDKGfXzjDlEGkGUaGVIPrKi7Mt/nTP79jnVLml7/7Ta8yS0vLfzA9PfW/B8Df/JMf4Iu/3WD++Cd+pN9L33/+xOFZnSzjewqZpBgDqQZj85EIAVIIpJAo6SBlilIiW541rjL4jqHmCJaHisX2FJ+4u8HDz/W45ZoV3vP6Fa7d1WYmrZEkPv1hQG/gMggdolgRJ5IklaRaoI2VQFIYfE9TDxJ8L8JzQ84shnzhMcnh0x7HTk+htM+ujR6X71Rcv7eD8ud59kiTzZN1rrwENswts9RpcdVmSaINX3nUJ+xLJhsJb3z5kM/fE3PyfJM9l7qcWxny/FGXreunuGbnPPc/0+XB5wVh5LF35zR7t/rs3dLlyLklDp+BR/fXOXS0Qd0R+I6k4RsCF6S0QZU9hoYkhSiBKBX0QkFnKOjEEOkEbYbccFmH93xHh1uvStk47TMcTrDYDuj2fHpDj/7AoTe0kmQQCgZDySC0sdEwTBlG5coQRtZxihLQSC7Mt/mTT9217skDF94vG43k1h+99yP3/u4dCO8X/vYCfPn0f2Zqi+SdQecHb9m9/zf/zo2nJmeaDQaRS5JoHKmQWdgrBBZsUiKlzECtUErgKI2jUlxH4DkazzX4rqHupUwGgm7ostyZ4lP3trjr6SHrp/q887Y2e7cOGQ56XLnTsHWDIoxd0rRM89vP07hOyokLhmPnBSsDzWfvr3NmYQoTuUwFik0zDts3OFyyGa7c1UHLBT74+QZLSxPctNfhyl1tvv60QCQu66YkjXpCP/aQWTJKOR7toeDCkuAKU+e267s88ESNTbMeN105zd9/ywIf/lKXRw806A1dFlea7NxUY8/GPi/f3eX7Xt3l7NISn73fZ7Hvc+Kcy5kzHq4SSCkRCLSxjBprQ5popmZirr6iTxjG7N0a8vbbQtZNKKabPnEccG4+oD/w6Id2lRsUwJYW3KFgGGJXgjBlGGqbxIoMw8jq8GEMw0QQxRCnDk8c7vLQkftmf/Z97m/e+d9mYtw/+JN/+ksf5Df+3fv+9gH8qSd+g//58JvEuSN//o4nXjj2e53lF+rrplyGITiDgCh2CZWDlGUQKYR1CaQElYHcURJHCRxH4DopniPwXE3gGmqxoR4ZJoKUqZqgH0m6UYNjpxv86p9Mg04QScL1V/fZuSEiSUAbjTE2iSOFQCqB43ocOOmx73BAI3BoepLZumBuRrJu2mHTnGL7xpQ921dIxSL/7dMtTpyc5KbdLnt3pAySLg896zNZc5mZMEw2I+o1K4W0lrSHiqWeYbGd0u7VeNWVKzy2r8/+k4rJVsDLr5jkvW9d5Lc+A08cbtAbGFa6DheWWmyYrbNuasj2mSH/8h19WvU2zxyDA6ckrmtQyiCEBoz9n4EkgR0bUm65KiGNXeLEx5g6w8jl/ILHILQr2jBShXwbRIJhKBhGlrXDyGZlw9Bq7WGss/eyewzDWDCMYZAIurFkOYQojvjyXUcnT5zc/Xux+NfJf/25qz+xY/1vm3/xvn/wtwfgP/9//Sm/86kd6rJtd7/tk1+f/8jdD50I+oMGe7b22L21jVQpg4GPozyU0kilUdLNAkmDUirT2xLXsZrTcxWhKwkjjR+lhLGhFmvCWBNFhlYCYawJE4gSwTCWhKlPnAbsP9zg6f2QGoOFttXGrgRP2ZqPpg9XboRWDSYakqmmYmbSYd00bNsQsnFuhdgs8d8+PcGRoxNcd4niki2SXVuW+cbzCRcWJ7h+p2SqpQm8Ab70MUqQpBJhDEkasdwLuLDoct3eGi/b3eX+JwLWTwnqQZPrdmt++m2L/OZnNM+fabLS06x0FfPLDrOTDaZaNaZaE7TqMXONmO3XRfhuguskKJUiMwfKYC+qOFZcnHeIE0WcKKJYEcbZYyQJY0kYSYaRJIyEDVAjQRgZwsge1zBKiaJM08f2/WFUAXYs6MWCTiJoh4ZkOORlO5Z533cPWFp5qt5N1Ufuvwf9z9+799Pvuu0P0617/963P8A//7mPsXHWV08dOPj2Lz+w/Iefu28QDNOdpHEfIxb4xfe2uXyLxlUJvWGKUimO9HCkQSkHJQ2uMriOwnUMbiTxXGFPgisIPUUUW6DHsSFKUuuKJJV7CklqSFNNqrF6W1OAWwhQEhwJrgu+Iwh8Qd2XNOqKibpkakKwbjph+4Y+zcYKn34g4p5np1lZaHH1NsX2jS6XbR2SihW+8midhuswN6Vo1oc8ewReOOpw1VZDP1Rcc1nM1bsM58+lzC97DIZ13nRjl/ueGXDojKJRk/hei6su0fzijyxy9/MDPn/3LIsdw/Z1Kctth8mWYqLh0qy7NGqGwNf4nsZ3UhxlpZbMWiuNwSastCDRkiQVJIkgTiRRIohjSRhb5yWKBVFsiCII45Qo1kQV4gjj6t2CexBDP7as3UmgH6YQ97lu+zK/8OMLvPUVmmFYZ6VzJFiOpv/o63e233fTrT90dJj8yP2Bk12J364AX+oO5cJK993zF8//9tkTJ4PtMw7n+oqVyOFzDyqiyOHtt7V5++s6TLcSuv0AJVOUk+I4Lq6T4joObuzgO4qhm7GNK4k8QRQLe3JiRZxAFEvrICSl7ZekmjS17kJqMqckO6xCiEwCWdnjOQLfkwS+pFETtOqGyaZm/XTI3FSXxKzwifskH/7SDOuCgKu3CbZtdNmxSbN94zKffsiwtBSwd4NiqgXNesyF45KLyz7eTghjwdyEZHISDh0zLHc05xcCLtsR8Lrru3zh3oCZJvieh5KTXLVL8L43X8SVF/nc/VO8cCZgfSdm3WTCREPRrCnqNUnNd/A98F1wHOswWVu1AnLshZ1qSFNBkpIBHeLUBohxnFpSiDVR/hhrohjCJHdlMgsyEZa1E0EnlnRjTTSMmfA7vOuNC7zjth63XytY6UzQHdRZ6TY4e/FsMB/N/s+zpw/vd13vGiD+tgX4f/u9z7DQ1j/y/AvP/drZMydbQjgEjmHa0xgcOqLJVx5VPPRcwLnlBf7R9/WYasUEvs04uirBdVxcx8WLUiLXwYsVYSyJXJtKt4wjLBNlrJQkEKeQptZJ0NoGXFqbvIczA7cFuNX2AtexAAl8qAeaZi1hspkwNzlgdmqFB/ZH/NEdNQ4cm2THhMuuDbBlg8eW9bBnW4d+0uGRfS1qymVuSjHZhMlmyNREguc5CGEvrkHosdSJWekb2r2Ei8se2zY0ecXei9zxaJ8DZ1rU/RhXeQgxwa7Nir/7+gVu2HORP7qjySPPTbLYc1jXSpisJ9QDSS1Q+K7AdyWua2MVpcjsQ4tyg+1h1ZoC6Emqs9UtsxYTTZJacCcxmTOS3WPrygwTSyr9RNCNBd0UBoMEnQyYqXX5qe9f5P/4gT4132Ol3WAwDBgMfaLYwXUVbv85zh66uO6SS656z8kDn/zwtj1v//YD+PJKGyXlj/+PP/jzX35239kZYxxkJgPqrkEbjRCSbqtOe6j4tT9z2Xdkmbe+usdt13ZZPxvS6dYYhj6em+B7LmHk4MfW3os8C/A4lkSJXXbjJPO0UzLrj4y5JdpQgtsmKTPmBkfZhInnGgJPUwsSmkHCVCtk42yHC+0+H/isy1cem2ZpucGlc4Jt6wSb13lsWSfYuWmI463wsXscjp5qsHu9ZKopmWikSBlyZt7gOxIpwBhBFDtsX9fhUVI6fcVyx3BhqcbuLQHfd1ubT37d4/gFH9eJEcJFmwZxIrl+5zLbf6DDV57o89GvTPP48QabpwSzjZRGkBJ4At8VeK6NVRyVWaxSFDUZBnuRaYN1WlIL+BzkSWolnQU7RKmtdYny5FEiGCTQTSS9BAaRJulHbJnt8JrrlvmeV/d50w0aR9RZXq4xjDyGkU8YO6SpdcA2zYAJL8y0O5e9f/fV36+Gg87vB7XWtw/AjZkH9N///Jcf+OWnn3lhXeCarDAIHGXwDNSNZVBHCDoioBO5fOwbPnc/0+W6vR1+4HZbBTcz6TMY+gxCD991iRKXKHaKQClJFHEqSRJJnAqSRJKmglSLUmtrQaFKss+VwiaLVJYs8lyN76XU/IRmLWR2sscgHvD1Zw0f/8YEjzw3yZTnctVmw8ZpyfoZj01zki3rIy7ZvMwzxwd89r45JpTD3ISg1RC06jHtfsqXHgpoegYhLLAGocNbbwn54sO2Jqbd01xcdtiyrsn3vrLHI/u77Dvk0fATlBQW5LrOMLJa/+++rs3ujRf52N0dHnxhkpPLNTa0BBOBoe5pAkfjueCoLDkmcyaHvPxIZ1JN63KFSzKgW4KAOBXEaQbsVDBMLGv3UmzME0U0an3e9YYl3v36DtfvTlk/5dIfNmh3faLYI4xcwsiesyRVaC1IU0mSwqkTB9ZF5oFfXr/9lfrk2eUPbds09Tcb4MvLKxw/0+fU2eCHjx2987/82V98Y+bEmQGBL5Gm1IMYUzgXjjB4QtBVDn23wemOz9mH6zz8bI9PXt3l7a8b8MZbhkxPekShT5i4RLFLnDjEGdCTVJGkWcImLQGuTcbcuqwpE8JkQaWt43Acjeem+F5MzY9o1gakDPjaE5I/uWuS545NIGKfHVOGjZOG2UnF3LTHhlnJprmYbRs6nJrv8jufb5CENbZsEUw2HVoNaNVjhBvRGTSYbBqEsNnZOJFM+4pEJ3Rjj24/ZbmjODNf44pLmvzEd6/w/j/1OTHfwFFxdmE4JEnAMJJsmPG5/tIOV1/S4/kTZ/j4N2rc8fgkZ9s1Gr6i6UHDNXiOwVXYgF3muYXypgGj7UWXakFqIEktEcWpIEptkmiQCgYpDBJDkiToOGQmGPCm21d45+1dbr0qZqLmEsUNlts+YewRxRbU+d26N5I4q9A0RqDSi5w4/BfrumH/v7zm1tclJjn1P/vDCRrNb12H0LcU4IPBgF1b69/zjXsf/q2PfPy+1rkLA2qe9a0xkMoy8LHywBTuhZdqAiXoK49+4nAxDPjcww3uea7Py+/s8Y+/v8vl2zqsm1S06g5R7BElLklSgjzNAa5lVstC1u2TgztL9Stjk0VOgu8luCqiM4iZ78T8xqcDjl2c4ol9kxjtMVMTrJs1zE4IZlqKmUmX9TOSDTMJm+f6zEwu85UnNY+/MMnVWwRTTUmzLmnVNY1ahHBDfN/BUfbzjYE0lQxCh8EwJtGC7kDT7RmWOi7nF1vcvKfHK65Y4WN3BtSWFI60cZg2DknqEcW2x3N2MuCGXT1uuLTHo685y4l5yR/dMcnFlTqnF308JWm4Ai+XYdnxL4g8lypYJk+MINEQa0GYwjCBSBtIE0hipArZNDXg6u32fNx4eUqr5pAklrHD2CNOnIyArIGQ25JxIokr5IMB43jUnZDhxftm9j87+Vubt9+wHMf9z34rMfktA/jJE4fZuHGD+uQn/uzSp5890BJJl/XTDkYbDPZAKi1IJcjM33YkOFJYjzsx+KmgrgQDR9B3fAapy2JU447HJ3jghQENP+TvfWebLTMJOzYNuPnKLo6wLWJCWLlis5K2VtoWa2XgxiCkQQnrmRsSkAnPH5M8tt/hC480ef5kkyip03QUczXDdMMwVTfWB285TE84zEwKNkwnbJobsHFumXueC/ngF9axcdJhrgWthqLVEDTrCTU/5IGDimHk4DYsqIwRRIkkcBTX7h7w8LOTtvBpkLLScVlY8bmwMMVPvPkCpxcWefipOVwJiBgNJBmAwkjSGzhMNQMmWw1esbvPa67u8wOvnWf/Kc0XHwl4ZH+Ng0cbJMIhDBX9WKGERAgxFnhmOQGjSbTBaI0rUia8iICYV1zXY+fGIVtmY97zxpCaJ2nUXKKoTrtr2TpJVEY4qvTaE0Ucy2J1TbJYyep/gYnAaJfeIOLUhQdbc0cuXvo9f+ft6sCBQ+mePd+aevJvCcD37XsB6TS9Z5957EeVSn9tOFhhesIjjK1dl2qTLYN5d4zAkZAog0oNKgFXCjxt8BNDkArqTsYiqcsgdemnAd1uyn/52BQmiVk/N+SKbUNmJhLe/roB29ZFxLHI9LaECnOT6U8pNUIKPnV3jWeONBCOw4mzdc5cqBPUFBO+YLJhaAWaVgDNmmCirmg1FVNNh5lJmJ1MWD8zZPO6DqlZ4VP3tRj0Gly2xdCqK5p1SbOmaQYJrhvxlYcDwr7EXWe7RXOJ0qgp3vTyAfc+qemFkt4gpdN3WOk6nF+sc/nOJm+/tcMTz9c5sdRESQ3EmV52iVPrJg0jSW/o0O55NGt1GrWQy7cMuWnPkFMX2xw/t4Ljpjx91OGT36gjlC1cY3z+oNGABmOIo5Tt6xPe+boBs62UPdsN62cgTVzCqEmSuCx3XJJYEaflChrH2WOispgoL2TLAK6t/66zXESqrfM1CB3a84v4zW2/9uijj/avvPySDx888EK0e88VfzMAfuLESTzvwu6LF85+4OmnHpdCCILAFkYlypBog04NiRak0uAoG8yoVOBIqxPj1OCmkCiBnxoCbUhSQaQNUSoItSRMJZF2iTXM91p84xmNIeUvHrEjGzA6u+dZvMwiE3lFokQqRRI7SO3gOpKmDzvnDA1XU/c1dR/qvqBRkzRrVg5NNCVTLZiZSJibCtk01yVlmd/484D7n13HrhmYqmfsXZc0awn1WkSjPqBWq+MriZKZBsfKgTh2GQ4EgzClGyp6Q013oG3LXMPj9IUJXnVFyE+/4wK//kmHkys+QmiMidGpIU5colgyDG0Za3Pg0Ag86rWAul8n8GOatYjrL4vw3JgbL0t4z+19HJVkSSBt6+2rojyTdFpLhJD4rgI8hqHD4rJj63bSPObJ7oksY6BEFmCO0zyhlD1m9zQVFgcpmfMlCCNr6T7xxKOyXlMfkIT3DQbD574V2Px/DPBPfPLTGOHUDh46/LZjRw8Lo62v7BmBQNlgTpsM0IZUCdLUoBQ4ae7FgpNF72ke0aeCRJsystdWH9q7INKSxEhS7RBrnzSzvaq3IkuZuTWOBFdBUDMEjiFQKb4LvgOBZ6j5gponqdck9cCxAG8IJpua6VbCzGTIuukem9Yt8sEvaD56x3q2Tipmm5pWQ9GsKxp1qNdSmrWYc4uaI+d8As/GG5BX+gmGkcPODZoNs0M6Q4/B0GQsLlnpOjRrAc36JO+5/SJHz53n9z67GUc6GDSpTkm0IU4cwkgxiGxRVD+Q1IcONd+l5qe0uzbG8NzUJszcFEfaRgkpbTpfZHdbuiIAkYFc0NZZlaW2cU2aSrSWJLqMdyxw8wDfOiRx8Z5l7FRXwZ0FsgXAIU6sZPFchwP7nxPo8G3btu048vWvfnZw+xu/56UF+PoZ32t3Fv9Ne3n+32Bi6bnWuRBCZlpbkKQ2sEszrzVV4GhRJGIcZf3qNE8+6OzvaSp3U6bZs0q5XMvlgVJVcwOVBglwpLaaX9kVw1UC1zHWN3YEgS8JPEnNV9QCRbMmadYNE42UyWbCdCtkdqrPtvWLPHIw5GN3b2Iq8Fnf1LTqwoK7JmkEmkaQ0KyHPHIAnt5f59I5k+neMm0+CBU37jFctm3Ao89N0g8Ng2FKb+BkIHepBzVqwSTvevUSTx+8yMP7NoBRaJ3actjEkMSmqCcZhA71oaEWKAJP43suvpfiOxrHSXEdW2KslG0YkdKWBiNscXJOC2VwbkuIde5I6dx+rVixGbCTAsSyAHL6Iqydk5rNpGYefLbwrrSH8uTp8/8hMYHnB/VfAqKXDODDwUBG0eAX7vzyn/7zJLzgTTYdq7VTC8RECgvyxDbHJiqrB8mSC6kyOKnJwCsKjW5ZI88+Ytk5A7nOMnF5ssIYQyXzPrLijjo2mfZXwgK8KNqy2T/fUwS+ouYL6jVBs2Zo1VMmGgmTzZCZiQGb5pZ5+MCAX/jD9Zw8Pckls5rJOrRqikZN0QigEaTUghjPHdIeGpRUuMogZfnNLKNJ4sSjVYvpJ5p+VmfdH6Z0+5J2TVHv+gR+kx0bYn7xR9v8/EckD+1bj0GhjSZNNUmaECWaKFYMI8XAl9RCReBJfM/gewrf0biu9fsdZSzAlQW4ymSKEGa0QTdL7Zs8IMxqWdIM8KkuH+05k0UJQAFwLbLX+W8uiSxJS8/d1ghZGasNvHDgpNePvH/93r//d91+r/9z9Ub9r93b+dcGuDFLGNP/pQsn7vinMj4SbJixWa0otstSkpagSqWVG7lE0QWo80xaCfIqsHXh0YLRWbIoKwGt3hkDeCa7s8DSShQlhZVFiiwtL3Adie/ZAUCBb0cy1HxDI9A06ymtesxEM2K6NWDT3AoP7+/z8x+e5cDJabZPW4elWZM06tKyd81QD1LqQUycRvzxnU2kUrjSoERpE2qTL+Euf/cNy3z18Yhu5NPPAN4bKLo9Rdt3CDwf322xZ2vCf/qxRf79hwUPPrcebSSptmn1OLGFZmGkCQNb7ur7gsAV+J7NbHqOKTK2jtJIZbIOKWMbJXKAlylPICMRbC7Bui1ZIF8JFLUBXSTXMpAXK68oV+fKY75KJxnh5XVDcWz7ZB9+8mjgfOLuf/but71enL7Q+dkt6/96mc6/NsCPHn0BjH5F++IdtekWpGmzqNuOJKgUVGJBlaSgUmH1dxXUqUErCrDrCkNrXbZfWaALW0eRgzo/8GPfKwd4XoOhinpyUdSRW4BLXFfa+g1PEPh25kndT2nULLhbjYjJ1oC5yTaP7O/zCx+a5vkTs2yZEsw0KtIkcGgEtn6lFiTU/AjXDTmzOIWrBErqzJYrg8w0lSSJYuOUIUliOnGQdcpoBsOU7lBS6ysCz8VzA1xngr1bEv7T35/n3/4BPPzCOlItLcBTQ5ykGZNrQl8TRJKhpwoJ5rrgOlai2ToVa9PK3BvPHtfAuJUrZEkhRJEc0llyKM8Wp2nl/aq8LIBd1gSleQ2MNqRZYVyc2Iu0FxrOLUV88Rv31V5z0+ZXKPnX33HirwXw5578Mhsm/Pp//p0vejs3aHZvUjYbmNirXAiBTDINnlqQpaqULqnMmNqhAPsosHMZYgqgm1yO5M9f5LtJURZR2WYJUYBbSZk1SuTyBAIXfE9TCww13+rnei2mVY+YbAyYnWrz+KEh//73p3j2xBybJhVzDc1ETdAMJPVAUa8JaoG9OGyqP+LhfYLe0CNQZBeZ1eB5E4K1yBwageLmK7s88nyLfmxlyiBM6Q8UXV/hewrP9TL9PMnlWzW/8t6L/MzvwoP71hFrSax11ixd9mCGnsT3tGVvt6yjd1R+J5MppYyTWZZ3LZDnSSGTAzwDfFo4L2UBV3Xl1ZlxUK7SowSXZMBPElvglVcsGgQbm21eeOJLXnPDW+of++QX++9++3f9vw/wY8dO05jYPPncC3/+O9deEr+65gQMhvaIOI7BM/moB7ssJ5n+TbMkT6ohdfIlDbQSa7N2BdC6AHbZFEymvYuTIWxBkZAZuLMiI1UAHFRWMeg64LnYTiAvK7DyU2qZvGjWQiaaA6aaHZ46HPLvf3+Kp4+vY8Okw1xdM1GDRiBo1BT1mqJesHdK4Cc060PuedpjpR0wNVWmyXPA6Eybxqli3Yzi9pf1uOcxbbtoIl0BuSRwJYHr4DoejlNDSs3lWw2//N6L/MzvGh48sI5YO8RZBaAte7VM7seyqC70HInjZEVYUqCc/NhQfL/8Isylisir0igTQuN3XXnUuvJYrLyV1dpUAZ4zekWeZJocoOHDuXMO9z4evfpVtxz7g7//w+/4ydeeObmycfP/2q5w/8sAT8NT9JbO/8zChePvTqMFUqkwmcGkpK1DxpB5rQKVWpDboLLUZVpVdXYG9iw5k7P3SCA5ztwZ0vOMXKG9ZV5BV+ruvGLQUdj6DMfguraxOPA0gZdSCxLqQUwjCGnWh0xPtHniYMi/+d1Znjq6nnWTLuvqKRN1k4E7Y+9AUvMt+wd+Qt2PSHRIN/IRSuLmDF5ocJGxW1YgFrs0vKEtF4gCpnKQD1P6nmVw35O2Jt7JN6A1XLXD8P6fvMC/+m3Ng/vXE2uHMBVEqc5YXBDEGt81eK7tXXWyuMNR1sq1bYD2OFmZIioroD2qxYVZjXXGwF2QUIWYquDOwV4yeVnglWpT0eDZucfauVIITp1d4OCh4+9+4OEnj0RR/G//X2XwlaXTBM3N208+99+vbrrHEHUg81BzgBtl9aZILYum0h5MG1hm2sxUwJ0FKUU3vSkDsZIpyqykqa6ZOWtXg8p8uc1qXFQWTDlO1hmUFSHl1YOBm2a6OaYWhEy1+kw0ujy8L+FnPzjLk0fXMzfhMFdLmQgMzQzctcDaiTm4a35K4CW0GhH7jhvufqKBJyWu0lkQV3oU+fIdp4pEO9x2fcyll/Q4crLGXJ2yzzFM6Q8zFnYUjlO28QlhuHI7/Mr7Fvi3v6u57/k5hnHNJsMSQz2r4fZdLMidfPXSmUSRSJUWK5ySogJwUQE5q/RKCXIzCnBTysr8vbXiqSKznZavk4pWz4nM4kTyyDNnGJpHrv6/fvF9248cO31i184t33qAp9FJpNvcsXju3v8ah0vfI0UXz/VJdTa6ONdvAoS2AMslidZZgmfMHak+lnYURe3KiEuyyi3JmHsc3MIgVe7gmGJVcTPm9hyN62p8V+N7CYGXEPgR9SBkeqLPcrfPvc/Br/zJBp45PMtsBu7JmqFZEzQCUXjl1nnRlr09C/CaHxKlKcNBQKDsRSaFGKnkyxMpNtB0rJZ3QjshKhYVgGs8L8VzHVxX4ihV9KrmWchrdgp+5SeX+S9/mvDg/hnOtlsMG5LJ1NBMDEE2ccB3Teb9506KKdg7lyo5wIvvm33pKs4LhZidlHJlrZTfVsFeeS8/z2laAj6t6PWc0fMg1mBX+053wLmLy9/zqS8+mL7ypmv+2XMHzx6/avemby3A73roJMqp39Sef+5tXniAVq2ZlZ0au6uCERhhEFKgco9UiiKiLj1UCpvJJmnM6HMzqvdGWXtUFeYnwY57yNnblJWKxXAgWxbrOjobM5EW4Pa9DNzTPeaXB/zyH9f57ENzLPSmmJuQzAUZuAOru+tZYFnzJXXfZAxutXfgR0DEXU95LMceMz4j9diI0RUqTW3zQ8t3eN11fR4+ENGNfSaKjnWNF9padc+xAHeUQUkXIU2xeu7dKvn1f9zhiw8P+KUPref0whSDSYdJT9BMNPUE/NiOXvaUHWjk5oGmFEUQnD9WA/XqhSlE0StSsnhxripgr7hduiI1SyavavWS0UfJrvwM11EcPnaAzvL02wLt/XFDDo5/Sxm81+tTr9cuu/OuB//JPfcd54rtU+zYmOtsa9bJ3ErKM1/aVg/qSmKgiLarj4UEMSPSZIS1q7IkO9A5s+Tp5twFUDnAlcGRFtiOsuB2nRTPTfHchMCL8b2YZm2A4/S55+mUP/hSiy/cv45It1jXEswGVpZYCzD3yVV2FxlzV9k7xnFCHnhhkn7ksLGef59xBs+tNEmcKAJX8YrLByTaAnwQC9u1nneuh9oGh47IWNxeyCKLfQyC2UnBu1/bo+mf5UNfGnDvCzOcj2v0A0krMTQcY0HuZHGIMllcYjKQ58dQlLXjEiQli1d3FKyekoLNx1beahxl6/IZZXSzejWvEhxYYqh7sH7Wp3vxCPOLV/+T3Zff+uRwODgUBLX/5wAfdI7xwrPfoNlsbWJ45DXbZgfUfJ8kjfAV2XIJoDO/NGPnHNwjoBaVQFKMam1KrV0Cu2I9VO0rYcakSZ6VsxedHe2ms5rvDNzK1mL4boznxQRuRL0+xPP6/MkdDr/6P9dxZH4a1w/Y0BRM+ykt39DwoZF12Nd8m+0MsoSQrV9Js5XAypOFTkov8vCUwpOmCDCp/JT8wk6zmo0ocam5QzZMDljpNxnEIhu3ZmMF100zm09ldqfK5sZUA1db+fg9t/a48Yp5fuWPhnz0K3MsJQ36vkvDlbQcW4PjO+ApimYIJ0/6ZCufLKRKmQCqksqoWFmLzVkD7FS0+dh9JDNdKRoQ9h92HYNOFY881Ub4+15z+GS0qdPuHHr+wEmu3PPNXZW/AoOnXHv9jTsWL+z74Hn9FJdui3HdBD+rbbBVaeUPLWoYdHngi0BSl/UNefBYXrVVcFdKXSs3kUWzpR1oSt2dz1DJVpWSudMM5AmeYyWJ74X47oDjFxJ+74sNPnPfDEcvTNGqu0wHMOWnNH2Tpd5zcMsM3LJICgWZ9vY9e+G0GiGffsDh0IkaQTaBq2gXo0R5McbBZMVJicPe7fCWG7v8wZdn6NUdWtnsET/K4galcZx8whcVkLsVWrWrwrZZyc/+UJ+rd57md78wzdHzEywlNfquQ0MJ6hnQPWnshZO5TMXqlx/X3D7E6vMy02lW++Q56+alExWZscpW1KMANyP1ROU/KgToLPu02E5ZRDP/9Rf48W17P3jLq171nUvLnb9UqnxTgMfRAMcN6C3es0UPHt013ThD3auj8+UjL9YpfmwG0oKpRQni/D1y9hYlY+dsXbEBTXbCyBm7clXnwLaP+ShlC27rmuTsneI6ie3ccRJ8P8RzQrppxAc+4fGhL27gzOIkWtWYnlBMe4YJT1PPmLtepO9lVqeSSZPMOy/A7dnsZRhHHDrt04t8pvzMxcmTTrkrkWdhTaUmJXZoNRx2bolQ/pBu1GTgCWqxHYnmZfLKzSSKk7seQr1I8KqYm+jzE9/T5223nedDX+zwe5+aYWHQYOAEBI6i7ghqytbfe1m3T16nn5c3yEoH1giTMypXCnCvxeaMgbtCasUjpT2YE19+k8IQZscwNQ6L5zt88f59u/C9Ld/3HTcej5MhrhP89QB+6Pg8nj85tzgffOLk/q+7t10DK11tN1XVo+tuycBVdi5BXG0hK3R29mNLxhaYNb+JqdiBpgD2iDyRWZWcSi3AnRRHpXhuTOBFeG5EexjxwDOSP7mjxafum2GYNvE8jxlPMOlpGp6h7hvqXgnuwJf4vsTPpIlNDGXORAZwz7WZz2PnDPc+XieKXfyGWRVg5rcynW1LUaNY4boOt9/Y5WNf63HgdINBYEczhK7BS8CNNW6kUUpa31ragaTFcB9K8KRakmhJ3XdYPzngX72rz+XbQj56R5PH9k0wP2gwVB6u6xA4gpoEPx+wlNur0mRDT6mAfLRmZbw4q8roOUHlrDzC6qs89PLvVVk/u5QwWQ3SQAsW+w5nzn3dvXH3VZ+AxZfpqDP/12bwuZlA3vPo/ps+/Mn7JlpKcOvVbSZbmkHok6aqKI4vGJgKgPUYg5O9Rylj8ouiqEWuMPhI4Y/t0bFMXqSUdbGCWN1tcJSdjKVUWsgRx4lp92Luf07wh19ucccTEyy1m8haQLOmmHQNLU9Tdw11z1DzyFjbMnfNlwSeIvAEgUdWoaczcGt81+pv5YQcPA1n2oFNrGT6djRxUtbPWNbKaqW1JIoc1rcEl20d8OzJhH7sEmYzvr0ICz6VT9bNEzUgxzpz8osntyHj1NaHv/P2AW98+TJff7LLR77S4rF9LRa7ddrSo+c5eErgSYEvsT2c0u5Sp0R5kSqRlf2uweCr6lfGmTwnN0ZBXLSv5c+pPtq/H2uItGAYpzS8Fb7v5rM04s9NpP3vvMmr7/lydjj/1wH+zKF5P0r1bz/89InGpPI5cTHh2l19QNst/LLm3qocqdYRj7yXA1uXF4KpaO0RSVIctao0MVQL9K0s0Znm1nYalkzxcjdDxsx3E+553OFL9zf57L0TXOw0EEGA23RpOTDh2k6emksmO6Dmiewus5LTTHd7Aj9n7xzgToLnJQRehDExdz3hc+JcjdlpgSt1pmNF2ehbYTszUm6qGIQu29cLbr+uz2ceiujFLoNYELgGL7EsHsamskqpwq9GyBGZkm+rWDQqaOu31/yQd752wHfcuMhf3Nfli/fXueeZJhfbdQbCY+A5OK7CEQJXClwpcYXJpJZBISrScNQ+XIPMi3OrK48GUQC8qFkhK9rKgJ0aW9SVmKqFGEM/ZM+eNrdeN8Tj+Ybg9b9NfOZyYPDXAvhDTx5kaanHwqklprcnOK5GeUOCCBLlZEXwqtDUVobIUZbWVbYWFb1dBXrFJskOUXUZFBVgC6EzO1AjMoA7TornxARBzDBMOXAGjp9VfPzOCb78WIuLyw1wA5yWS11Jmq6h6WhqrqHmQuBacAeunUloy0xl5S6yPzcZyHUBcs+17WlHzmqePeaD62bLvKmk6MUICqrsVdRPp3ac81U7Q67Y0mP/mTqDQFBPBH5sCBWZtacz9s7dlNyCLLVK4bNnVqTWKps+4DKMXGq1kB95U8hbb17hq4/3+LOv1Tl+NmD/mTrRik/iOwwdB6mkTecDTvaYM3khXSiD/1VMXnVTECPMXGQq88eKPLHeedYjqjWYBEwMSUgSJxgnpVW7wNLC4Ul/9od+cDAwf1CrCda6vSjAo/4xEYaDf/IXn/3d2R/7vgssdGwxkPQi6hOaNHKIIodUq0oXu8xkiFzF6FWAU+l4N8V/ykOT20Ol5rNJDStJdLbLQ4rv20mqSZpyfhHu/IbDkdM17n6kxpnlGkfONsD3UXWHwFE0HEPD0dZFcO3g/MC149osiPO7zO4qAziZ5s7A7ab4rmVve2FFHJuHfcfruHLUHiwkCmU9eOkmZE6KzvoaE5crtg+4bF2f544m9BOXZiwIHfASOxNQVQAupUBIOcLkOVOWiRRRBLN5H2WcuoSuR6sW8XffEHLr1R3OLHe461GPo6d8vvpEnbOLAenARUuH2FMIKe1KkXXlS7KMJxSyJSekcWcll2V5QEnxqItxcsWVWfTV5gBPIEptX1uaUPc1zx50+MYjPhfaxyd/5N3dn3bd6ENjH/uXA1x3/hzHpO9+0437GrffssQHP17n5/97i3d8l8PubTGbpjSX7hgSGEEaZ1JFy0yTVwBvSkBbnS0KvZ1f82OOaiViL1m7kCIqxfVT4tRw9JTg2aOKOx+p89wxjxeO1eiEPmHkg+uhWi6+EtQV1B1NreID+05ep5GXzdq6cD+TJZ6n8DyZXQCm1N5uajOLrtX5gRdjdMSFJUlofBxH4kmDU7HZxgi8AHlqRvsdo8RF4DA3HSHVkF7s0neEdTrismDMUXokAylzkxogH3aEwGhZMnllMJKbqmL8RD/02DAVsW19zPWXhAyiAX/vWJvnjnvc+XDAs8cCjp4MiBMFvsJIBUKSyko2qKDvF9Eq1QxXwWh5c7gpwVzk6LMG8ljjoNm1I2LzdMzu7RHv+K4+9zzm87t/OkXqnefE8mdxnBevF18T4Onyn5LEbdVdfFJMNgccOif46qMB9z1e44mjNSZczbYtMVftjXjDDSGvuy4Ck+I6hloTjLZjG9CSJMm32bahYsHgrD4Ydlc1O7/EdQwIjZCGODL0h5bRj5+W/OkdPv1Y8dQLAYdP+Sz0PMLUA8cD5aJaCk8KagrqyhAo7DgzlRUeKcvanits0qMKblfiZbLE98D3yFwTmzJ3HY3nJllGNKYWRFxcTrnzwSbtrs/UhMDJvPi86EussXrmZFUEhFoShorZGcUbbx7y1ccGnGw3GLjSyhQH3MTgxrlnnXnsMrV2IdVZJ7L4DG2cymdYoHupInUUiZuNfYhda6W6MQ0v5tarEl5xecj3vmbIwVOSp/e5DCLFR++sc+y8C0LSHzikkcrLNzFODvAxyygH+EhaWhfPRaIR2mCw4K41bEJOoHnddSFvuCHkyj0R27ckTLgwN5PiA3/25ZhjZ1Iee+GsuP0Vl6tf+u0vJf/uH7z5rwbwOAXkxAeiaP6av3gUPvCZOR56voGpKbu3pDYcW0p58DnNJ76WMDeVYLTmut0R73z90FaFJYa5Sc21V0U0guwiNTbhYVYfAvI/EdLQ7guefsZhsSOpBZJH9rl8/r6AYawYxopz5z20cIiNixYuOA7Cd3CkxFOCQBqCDNi+MvjK2BpwJ/N8nZK5vbwvswC3yno0RcHenqvxvLxAKy3Y2/NilIr4xpOKzzzURHmOtdtG9PeLM3juhZfd6Irh0OWttwz47AMdPnrXBL0koJHpcDfX4XGelDFFt5AQsgCY/ShZ0foVgOtsRoljmdx1FInj4CSpBbpKUcoO0p8KEm7Zk3DznhgjQt7+2j7D2I5z+9x9Po/u86j5goWO4unnPDp9makkseYZLpMAVpY0AsO1LwuZnUxtAVZqeOfrh1x7WYzRMDdpmJ6ywS1CYVJJ1HO4+QrNb/4fS/zWpzSHzrWu2Tjb+IDA/MRficEXlzr4U83WRz/90T2fu7OmvnLvFpajgNStVu1rtNGEOuVCW3NhRYNJOXjS8Plv2OXGpIaJqZSbro5o1mwJ5ZrpyeplnrkOKz3FY896dNoK6Ug7E8U4lpmEg50L7IB0kFLiSmHBLA2+1HjSAsFT4KlyRp8FuSgbHhzbCJA3HlfBbRk+K6t1cwZPK/cE34kxJuLMgkcUBvgTEi9LeytB4SMXWUxRnN+RfEDRna4VUewy1VRsnY3wxJBB4jNIBDXHDsHMa0jyhJaS1fJWWXyW/QyZWbm6zJ5qnfVMltIoSdIsb6Cy/Y8S4iRFxTaX4KgUKRO2zOpsxdBcvm1IZAZIR9NuCx571mGlL1GFYhkNqqtkjrHND43A8IprYiYmNSa1MramBAowRlnZG1tPP9VZOGvs/qmvulJz9SUrPPDcSbVj14U9L3/Fj7T++d/rdFxvtHdzFcBPnlng3MXl93/yywuv/dIDLYxSuAEoymjXVAMBozPNZEjQtPP3pKGzbDj3jaozuhbAq/otOzlCoPOhhWQ1p0KVQY6UmZWVgzpLO0uyjVtz37jy6GSd9Ips6z0KcNu2LoWXgdtzKEpMLYNnLO5ovCw76roxvh9zakHzR19tgOPZ6VyykuAZAd8okeXsmg8JtWCzg3Wi2OU9bxzwF/cMeOFCk17qUk/sprS2CtCUnTgqzwlUg728dDGXQrJS4JXfdVEL4zgKN7XzUtwM6EqWSTNbN549FzorsktxhEGYlNm65rtepUGkxea9iHz/DLP6fBeQEBjtoJNyGlkSC+JitmQ+qDN/LYpYLzcmXrlXg3/stcPeifcbk/zDv5TB//DP7kRK6S2cP8uOSTuVKtR2WYqMHcwYa0ViFJq8RFKXopLqoyF1q8A2Y7+3cuaFIDedqsGLkLJoQVMCXGHTyr6w1YKutK8dSVZTkXWP54VEDpU5KGQ7s5Vd9SXAZSFbfM8ULW2epyuDcxLcjL09J0bKiBPnBfOdAOE4+JIReVKk5ysW2oijUCk8KwNBO+NvphWyfcOA/edDBqnDMAU/FbipwU0yHZ5QOEvlYVQjnQp5TGfzFaYsXS6kkcZJNamSKCffvlxlxWpptl9SeRdSozKQi/yz0WNWrimAnjtg5cVdFDvbx6J6dNR5y00KnScTtSTNvf3cEUrsjHjpLBLrL3hmDQJdBfDliycQQtBy+5iWIYy1rW5LDJEWxDrPLGXTSA0W7AUrmaJ8coS5X0ydCGGX1XwpLyyo3HMFR4ArDK7IQJtJgPx58V5G9mUpKEWDraeEBfsIuKV99HKg58FnBu68+8fRhURxHatPPS8mIeaLD9S4MF/DnVB41RqOqoPCmCIdT1OPJX2GoZ1g++ZX9njgmSGdJKDvONQSTZSl05UsC6LygjMhNGXnUB5oVrKEBpu3MJrUkDWhCBwtSJTASWW2i52t5UkyoJfJNF0k2KTUlcSbHknCldZuxSN7kUC7WGmoADvPelcArkcklSJKHIaRw2DoECaSi8vzayqEEYA/eP83qNdrr/rKnffcaKJllBB0B3nNhx0F4WobhHpSkBpjAZ5VC6ZU6goqGas1cZ3f82SBsDJIZIkEBwqrTWUpYyXKkcv587xuwpGiGIVQBXYxB0Vh+xHXAngecOa628llicn09mgtuefGeG7E+bbmicM1cDycTJ44lQKlPNsnxhBuT2al6q7oS5WFJx7HLtddGjIzOaC9XKefKOoK3MT+FpWNwlNxFeBYkBcfJMcqNUXWN2mXfq00qRa4WpAqSao0qRIkGcirxWt5OUTeAyBzUFcmZAksq5clzQVPr65dKRb0Sh1SUXxXjo8rvqu2MYotTlOEkUNv6NLuuiy0Xdxa68bdV9z8qju/9pr7v+P1t68N8KnGEMdJvuuSTebai+chjBRRbD1nbewCWzBrNohHGzv3u8xCiUr2quTwKrDHAS7yf7fC3PnINVUBec5YTl4bkdWA56Wetrk471SxskQV3SslsPPmW8vemeZ2KPR2bglaxi7B7RbViTGCmC/c5/PAc02k7+BJYedvFxWEZRtdWfE3ns2s1syXJzHVisHQ5eYrB7zl1i6/94UmUerTSyVBaggTspWrWvWnMzmnxy6oF2Ny0I7MGoFFAe5USZTSltGlzEZL6EopcrUGyJQgX4PBS9lkxgBgGNHiMALs/PtqLUePTeblR9lo5ihWdAcOx88m4EbXtub63xUnyf1rMvjDz5xi4LXeePTQZ38oNQdp1n3ixH4HmckBo0SxQ4IUouzKWKs8sorsFynMycGdA0BWQCEpax6qow1y5rZbkOSvyRicog1rhMWzbhhXjYLbjlMYY+6sZ9PL2ttcJ284SCr3mIiYP7urRWp8VJG9rAaYZV9j7myMaHDG2vW0tKM00jzYdBC4vPN1ff74iyErOmaQBgxSgZtQsLiUBpmIoujM2oXjtUeyYk2KCsgFqWPKnlmlSR2D0laupMqgUlvBaLPHsihNLi3KanVnWcZcNKVUgP7i63ml2C4DeLWWKa0weZ6s0sYeX9fVhEnKyYvHeP3tG37oO173lrt/0Bz5qhC7RgEeqIRWLbz0qX3prk99JWbKd/FFeULyvSRzgCqRg1uUoDbYupJKeraKakEWb1TiylyeFEAfK88sVowxzZmDvjrbQylRavGs4m5k2E0GbEeJ0kkp7EDbcW8bk03G3GWA6VTY23cjnjgsOXQ2wCgXJSWe1DjjdRoVAT7uouT3ouNppL3PgjxOXHZtirnikh4PHawRK49BIggkuKnBSUQm37IunCTT4UgrF8YAVLK4qEijvC8yd1dsvUuaz27PpF8J7rwWyGRlAjmTU6weogJuRDkxixGwjx6OvGG1yHabtVY4Udl2HVwnZW4y5S2vGmBYZsdsuCsOzaVJLL66isHTaIUkDJFJTNxz6SVgfCsByNjVCANZZ0deODPewTFyRa6+RivMXXleBXoF3EqU+r/Y0ruQLMJ2z4sS3DbIFEW3uFOAW44AvDr8x3bbUwC7yFYWzJ3iOTaxY7uCYgwxn7yrzuJiDeE71nevXoTjNSjVpataKqpHWXXEm9aKOHaYnZa84/YuTxxuEaYBfeVRS60Wz8tZlSQDd75W6MwTr2QNkSOa10oAU7nAqp3tEqXzFckUzy3AZfY7ddE2l3f5CyHL5ogRkJdFc8WhGNv/dbQ2SYzEDsXwz0p3GCKfDGCoBwKjG3Q6cPrMMmlSFhcWAH/u2T+lEQiOnR5ihIPnZCejEihJCcLYAynNi0sSs8ZyVD3JpfYee6wCusriI+PFSsaWVQZXosLiuVyRKGcU4J6TDQBy860DswynY3CLVLzOnqcjd0fZzp0XTsAn7mgSSg8lVZa9HL0QxzOYqy/3/MSyiqV0xuBJ6uCnDu94w5A//HKfZ47WiJVLX0q8VGfukUCmpnKc7GSDvOzB3nT2WaP7FlWZPNXgFBainfqrspIAlZpyWGcxl0UUF3QypsdzMFcbJPLnJcBHMVLt4inLOagEx6IYkZ3/3fzYxrEdXf3C4Sd5+EsnCdx0FOAnT51l65aN9Z97/2/uPHjyKIFjNffIGC+TsXj25cd7J83o9111qy5NI1f2GHuvLVFEAZzxcciywth5kJlPbXKcfJPXTHurMXDn6Xs3b0zWdmZI0SKW93Qm2T1GuRGHzjh0Iw+Uk8kTM1YeO37hjiJ8dKDRmBeuy8xdrsUbrmDP5iHPHIpItc9AewSprdl2Mg2uhB1eaRNL+WqpyYPMksnzIri8lRCcYrCpyPZSsjNtHE3WQWSQupwQkE/XyvdbKnpjZRlcCmkrj8pm5VEtvpZUqeaFqiAfZ/Tyzwwmm9Qbxopt6yO2bpvYeevr/mX9X/30P+1Pz2ywAF9cuEAUdt5w6cbNP/OIPoDXXAOr+fJaTUTlnyZGWSl/MQLqCnuXILf5nCoQSmCXfYyqwopqZKhmDnLKGmlVAXXxPEvyKDIv3ILbArgcCuRW5UmVvVXW1+lFLHU1//3PmywOAoTvWnkizciqUg7OWbsiYwTo2LJZkzdpVxyDNKvjbtUdfur7unz9iRaLoUckHQZS4mU9lOXIh4zB84qfTBfnZbQGnYFbV0qay64aJxvSlAfpOdiVFBmDW0mUFi4KhUwpdXjZTljKlDzwzI9H+b6pYCPHjVnjOFVZvtrOpjWAZBgFhJFgbuuunzl46PD9aTz4i4LBjx3fT+B7dFZOM9lI6UcOcWKDyJEPHAfyN2HsPDCt2oLFDxxjt9JFESXI5bhEGR1MUwBbCqQqx4+pCqgdKXEySeIUAM81ty6CStfRBbhdJ6+/GGVvV8V4XsTH73J5/kgNpIuUEj8vja1Ym8Ue8dmPfNFqwgqbFztVVGRKom3LWZK4XLWrz/fc2uEPvxygHZ+B9PClKJI+SgriIqBbzeSiyuTVDqtKTYxWoIxdFbQRFtz5lDCNHcNXjJUoZ9GUk2ltH6eQowDPHbEqsTEC+LXQUwGdWftPctBrbXeuu7ComR+cZHoR0tRuDOEAnFiwTbWnFqEfWu2lJWUSsqLFS/R+c3bKZc0oqEvtZLfOEGuydxlYipLNC4b8ywAuS4CrSg21k9WluBRSxFWlW+JWhgOVmtuyt+vYqVXLbc3nvtFkoe1DkLknohKMvYhEyX/n+Fla07arZO50mrspDlMtxXe/ts9nHxiy2POJlMMglZk9KTL3RpTN2LJkyxzYxpRdP7pg87Lb3cmdFZU9z4am6mz8dX7cqyAX2S4ehZTM5IldncebxUtw2/LeKlyqYDEVuSLK31GRMJnpArmNqAWNIGXT5ogNmyKS2O4t6jz97EHWz03t+NLXH/3pQ4fPoqQaCYwMFRlRZeIRa2A14EeCq7WYO/+BBbDFN5UoYgTYo7O/qx0udrg7o+DOdzbImVtVmHsVg+fjJsqRE46ymctjxwUHTwRofIR0iubcsnqwGj+IiqtRHpBqLUrJ5JXMXTE8XpbtZqkDxmHv9ohdG4cs7q9hUs+yeGplilNxccrgrlroldcIydLCNRmbm9In11IU1mE1tlHZvEmdzZwsElqyJKMC3FpY/S1zAiv3KBKUbk9pF5uRMmoxtuRVSmvK45k5Kflv0QYcx0FHi9SDa3563aWveGrxwqHjjqMMURxvmG2JN87Ve6Q1j/nlhESXALXyoWSicZCPfB0xdiFUv+SINMkWzRHmFmPyRFScCVEJNktAWwYnGwVc9cGr92xLa1UFdwXk2X71blYamrO3yl47ToxSMV98qMmhhRp4pTxxK9blask1fnDGl9fq+IRKoVF1d7O8jDZyuGQ24s0393n0hTpolyS1WtxNs+xuOiqVCmAV0MltQ2lLBapTD/LnMnsus1VF5neRDVQ1xeqZSpA6X2HLBOCIVKGUnowA3aJUZEAZtY7H3ZaMxyurQB5rSGEQypAkkvmOz7HTAxpz8o2t2XDDYGiOO5NNCALDlvWCN7wiYXkQ8um7HXpDRc2r7HEuxKrld5yZX/RqG5Mio+6CKFyU8QAtB7RYA9gFmytRacKtgDubT1hu28FqYDvlgKBixJujM5AnVp6omFo94qEDir/4RoPB0IO6gyMFrhiVJuPfv3pBrwlwxvT3mGVY9cXjxGGi6fC9tw358gN9HjngYRoug9THExQXmio+v9TBo+GcBXk1T2HysXtGYJRl81RaPa4rrJ0H9VrmQaWo6G9RCXQzktIWlEUHfkVClbgYdVTy1b2YqDASpJZd/QhbuySl3RcpTkMefMHlzDnDpVdrNm3XdDoax1FdtBHMTi3hXnaCzz5c5/jCeuoSAjMKtKp19+IgL7XVuJNQvhajbDdy8ZTPCykiSlBLVdm9QYmsNqUEdwnyvGzW4DjlCGUn24TJUaNAdwu2tnelbIDpeRFxlPLlB+u8cLIOrouQKgNVNjekElwKOXYhj5y4EtkFa+clxyOJjLLuWVfswihyuHxbwpte2ePp4zXCxCOVLgOt8FLGvotgpGR1DORm7Lug8otNo5VA5dacFBgF0pR6vFhRJUhdmWWoqbD36o6mVeRGfr7LALQEesUJojy2Jj/OgFHZFpGOZuv6LlOTMV96vMappZCrwpD2cIjzrp/5DFI6hMNlOp1p2r0Wnlb4DV18yeqEpmIpHgPyyEkcYS6x6oetBnmVtfODVw0wyx0ISmlSsQoLxs4BXk5OLSRKxtyWsU3B1E7xWD53s+DSUTG+F/HcCcFXH6jTH3jQcJEirxykYg+ukcXMf1tVv+XMXfFdRwfJjyV8KgVYUezSbEa86ZaQz94z5OmjPjgeQy3xMi2utK36LOtCQKSlPCCtgr0EtjF25Suki7Rsnq8qeZCvjQW71GWiTeiqm5KtulWw57GWHI0LVmOlio9RE0ILgTD2N+WxshD2u0WxoFlzee9bh3zfbRfYvPFTTHEnU40EZ+HiECkFw1Aw7M/Q8qFVtxk+t6jpqG7DIVZfjfkXrZzMVV94TKaAWAWEQo6IPKgcZ3Crt6vZTKWyCkOVb6GSA73C3KrC3Dm4s7ubT6HNCvwdldi7E+O6MYlJ+cL9Ne59rgaBA9I2NLuVEt6R0tjqvfriRTR4dRqryTcAqMxTT6u10FoRDl1ec1WfN7+qz/MnApLExQjFQDi4KcV3EmnJ4uVXWJvJy883KJUzt2Vz+1ogtSh0eEF4OaPnpJSDWpYrf05aCIPUa6zuY47KqHwdjWWkAC0osujlCuCw0g1o1CTrJ2ro0GFxPgIMzhXr7VXYHxpWOmnmRIyBO9O749lGUbk6V2vx1cw9+r6oLOli5ICIcWCPSJVqmr5yV2PgVpW7U26CmgParYA6d06sY2IflYrx3Jinjks+cVcT8EC6CKGKLiKVbaS6SroV3nch2sYAxkhBWsncFQ1uBDq1rXt2Cq0q0vfGOLzzdQPufHDIY0fsJIFYK/qpyAq+MtClGWtX64BGIgC7eqDGSi6yP1UZ6LXM9vPJg2JdySxnGW5ZlbO6BG8ZfFcmfIncTVlNmFTeH78QcmcttzJ1nn3VdvvwQeiCqWFEHYRnAT7dsl/WdwXSiEJSyOqVWejLF2Pv8grMnZFxK1BQ/kiqP3jkR2YsnWu4/LNz5si/VxXkWWtaudmULcApB+CX4B5h7cpj3libSxWlElw3IU4T7n6kxrOHa+C6IG1w6QlTmRzLyPFZ5YOPyZNSopRPigaISo3ISHVhKtEqc1RShzByuXLXkNfcZFl8kFoWD4XHUIOT5sFcVqeCKAKzUqLYL1Attahal0pmGtcIlMFmP43IdvIAaUQpVfKgsiJhCwLUlQt/xBcfNx7WAHaxCpqSEPPPysoJkkQQK5CRrWxMtcEIrwR4vvmQ69jNlay0N2to50p0TslQ1fdGZErxpcUYm+c15aPvS1lugiSzPxupPxEUe+8UuxfnzbcjDQ/l1iVKjYG7MhS/cE9UinIqAM8kiufEHDon+MiXm4SxC3U3kycUrWmquktwdVkdEZcvIlHMKNCrMqW6OYA2a2lxh4Yv+eE39fnCvQ0OnLEXX6oV/VTZKsM0S/7kjkSaORZjK0leGFcFuJUA9oKTmUaX2mCyc2SkJUOpK7FSzuSagiBXrfh63FyoALtqFY6Auww4C7mj8xU/+//G5WFNtcb3ba2/MaB+93d+c309cP/z6VMn97pK4Lpl/bSqWnCq4jtXAj0lK67GeAKmch+VG9U9LGX2b2djgbPxwAVwx+75yISqx108OqXutjJrFNzVvXrKYqps9wcnLpoZXCcilRF/+Pk6f/zVSfB9UAFKOdSVoaZMNo6CQs7lks7N9uMsjqEsi7/KybCMBKhlLFHajvlFKyRZ42/ZC6mkQRjN1g0RZxYkjz/rkQgJQqGFQghbSrtKJuYkVF1VTPGsfG0qoiYDe3kxUDo/MKbhbVFAtQRhZCpb9V4pFR6ZRIxgVRmDrvj0eqw+PBXEKcSxJIxtwBlGsGXndRt27X3l15yLF05Pogff2ayBxiVOdDGEJQ88Rg6JGH9cvaSM6qcKoxeypCpJqho8W36qrD1SB25GtLcswFBKElXR3qrY6aGyEZUyY5IkrxTM2TvGdWIOnpV87Ot17PwVy95F574sg+7qeGFZPQ5rBEyIKoDGwFE9ibkll5/4PKtpJDpVpCrT4qnDu27v85m76+w77YKMMEIyTF2cLAlSxDVpBs80T/zkUK1Ip6zhwNghDsV3y4M6aUAaK1ty3S2N/QyjM39cZwHqmDM2/hwxLmdXO2wFzsaH7+f/MXkWU6JTu2V8kgp6g4jWbPs7w+TkpNPwhkT1iNlJwSBSDEJBktiODrunyuqh9CMBZVVLjb0eTfCstgXl2EGo6reRGvAsmVDdR6bU4OVWgfnOamoM3HYiq84erR2olEblfrdKUDJBZfIkVQmfv7/BvkOl9pZCWu+76KBhzROYR/3VkzWqwEcLhsYbkEc88cpEKkcLW5siyxR+FDtcfmnIW1/V48jHfKJUgXBIhcNACJw0s+/IA93cUREjfFyEwCbX5QKVFyBhpYkxJtPieW2SKVP8ArS0wNe5TKn44LpCYDoHqRwrk14D7KXKG1t58sWlwvCphii2e4wurcRcXByQ0MfZvG5IoELOtDS6Y1uXhJDI1O5AW4yBGAd5VYMXgC+/yOjAm3EHRmS6ewwk48w9xtr565y1c7DnzF0AXVWZvNTdKg8i8y1OpMaR5dB8pVJcN+boOcX/+HSLoXTJJ2iVXfPZClKtga78tlGaefHb6PItitLjka1fdFWDi5H6lFQ7JKmLnyb8w7f1+PO76xw564CKQTvEwmUg7E7TRRlrNdgcA3nuzRvAMWWNh0EgjT3mOZtLk3vieoTNdaaLtcw969H6oiqrC2OLBkb1eAXUFQavvh45htlxTDP2jhJDFKV0eikXVwyxBOf0RYeVFYf+0H64o0bHPRTzu0cqGEfH5eZSZZUdOCZT8gj4xZatKrDFGGvniZRRcOtSoshRBndG/O0MzCN+d+UuLYu7TkQn0vzeZ1ucueiDcjJrUGbyxIz43sXz8RM1fpF/M6BT1Zt540G1RzNP4cviXjRDSEWaOGyeC3nv93T5lY94tGMbEBgjCbWytmFaFjqRCkqFXYK8/K/9E5VdhcaQMbdl9ZzNjbESqGBwY8+TycArRPY8Y+3Vq514UeYeBzfjx3BEnlDIE7vBrCHwJXNTDnOzLs75BZ9Ox6U3tLXTZAyrBAhVHvj8EIjKp42DeTT6LUFd+J+yfL4K3LIqUaqsbSrWYFlkr0QV0BUmd3TG6LqQJlaO6FVSRamkeHRUjOPHfOoLPh/8ZItQu1aeCFXIk6KpeDyrW9XdhYYUY2dkbRbPcVVahVXQ5yl7g9a6yG6Wg3DsVuCBk/ATb+9x8ITHhz5vtTgoUiEZahtwypSCwcsCrPxkmQqhlXalBXcpWYzJ2FzklYc5mxtrHxaJn0yXy/KzcvdsXJsXQBZiBD+jMnhUnhRoLHz5smhNYDfrXTepWD8tcS7dGrG8HNNbSun2Haq/O98EtFLbteqDqp73+JKymtFWW0ejHupYk3EV3PkW3dUtA1XVddAVqZKDuMLksqwOHH1MMt87ZmkZ/vzrdZbDHNwW4K602tsRo/Jk5LvmdlkFz+OasbqsjpbLVk7WiDyh3HpRj9WJS4nSCq0dktRhwkt52+v7fOb+OotdBTIGrYixejyvMiwAN3KpvTiT2zxQmRTK61PyYNNI+55lbwt0nV/8Zo16lDXAjrDltVV5W1x7VZUwDvD8uGVP8r+/0k05cT6hlyQ4frCI67XROiaMfZLMvikyYCL/uRXmRqx5ha0KENYA95rSZC1gi1FpIovAstpgMBpU5sNpSnCnI6xdMnfO2iV7u/WEL3wj4JFna+iK9rZNDbk8Ga03qVbGrfW7q1b42iSesWfhg5cSZbwZorrnaGokypS+eJK6ODrhFVdFvOXlff7oix6oCITECEGoHZSwU1uLQFNUV+VRkOfWoDGiGBVich2e187ISqGYtFnFakWlMWZEpqx5L46ZsTJmzD1ZjbEK8MePpLCWtedKHCclNl2G2sX54kMey4uKk4dT1s+k2ZAXskSL/dclq4H84l9i9Qle6yoeyXjJUcCMsrcpLMJio9IKwKUyONmIMSkzx0SaTFfn4E5Lx0Tqcjc2ad0T3405clLykS80Od/17H7X0g56V4Jyx4axeGH1SRMjgB9n7/HbSKKnwuwje4hWgk0z0nVv98+xj3b7k/WNlB95S4/7n/U5ckFiMyAKjWQoZGUTKRt05qAubMzqBVfl8yKbmZ2HKptXwZwXY+VZVAF6rDZ8NNFX3UW50mI3HuMJkYFfVwA+mjyUQiAcCJTghr2K629ImJkJcXwxgUNsBxrGGg8BqrJf+VpMPAbyAuxjz0dkCaYsJWXcFqxUvlUAXdiDKgf8GMiLGdnjz9NiaGTO4o6s6G6Z4mS2oOfFhKnmdz7e4t4nara3TTpWe0tpu3ZEOX+l+K75yjL+e8eYvIrzKtZXZzBL16Lc471aPlsto7XtZjp3VFJNIh1U4vCa6yPe984Ov/A7HmEibQZKS5LMVbE12vl3yzPWFQfB2JY0Kt/PvhaV2CDrrje5PWglWn4B5KxtsoveSpfKMcqzvzljr9LeeQ1NiR3W+rvCrhZkF5Ej7fBUJV2SaIpoOI1z2VaHCd9h/qwqlqJ8MVhdWzCqu6ssvubr/AqVo0xedptUdWw5RKYKfCtLdMnmY3dZ2IPlBNSR4FKWssTJZlwXwaVMcL2Eux5z+cy9dcLIhZpTaO+CvfMAd0SerMHcFRQXYK8su+P0XS1sKkeXVcENRpXZvmqteKolUlupkgM9SRxq9YS3vWbAHfcOuPMxZW1DJAhJLBwG+XkAhMlayypyxe42M6rJ7b1SlyKz75k1RRSvRVZaK9YCen4scrBXGXstHI2Wi6wGvcUm2Xeo1rEttBWHTzu0Oi7OiSXD4rKhN0hpNexs6aIcVVVsuzVYnHHQ55puLQZfQ55Y8JvVQWW24asSo66JLPZTz1yUIrmTA1lXmLsC9Mow90J7SzsldqVn+ML9dQ6cC6w0EbYkVuTaW1CZIGVWgbu4aKmexL+CPsnBbSxr5pbc6L3cinH1cKCyRkVKhdQpUjvEocPuDTFvubXHI/s82lGWftVWj0co8n0gRsFd0eDZdzfY5E5xQUrrthSgxgaWEitVtLD/5jjQdSGNzCjQq/HKi6mCilQZVwjVYD0HvxTQrKVsmBkwOdXFOXQqob0Us9xNadbH0uMyb/hd7fUW2o01voQYt4DM2LJSCdAq7L1qFMEYmHOGzyWJLAaz5yA3Y+DOdiaoPObgdp0ETcr//GKND366iRGO9b1H2JtSe49Yg6uBPmqdVkD+Tdh7pJKPcf2dM/nqVrZiA16t0alES+uLK6mJUxepND/xvX0On3X54Gcc4qQEuUYQConS+SCJDNzV1rYC1ML6gFimLN/OdXhxbWKyi58M/FKUQBdYth8p2DMlITACfkoNvhbGKveCuDOtb7LRD9OtlEu3xszOxjg7plMWjKF/IZ/bl++EUKn5yDTnWsb72ledWXW15T9MAuV23KUUyYPLfGqSKEYRl9pbiNWOiczBrcblyeie9Srbe8Zq8BjXizl8XvKZuxv0ei7U1Gr2Lmq+K86OKBM8IzHJ2POR5fUvZfAK6KGixcWIe2KypoMC6LKyfaO0WlxKhzhOaTYSvve2Pl++r8bhc9mJtAOqSYVggChWG6EzcJsS7KYAdeaWkCV/8nOdOymi/M5aUFQwGjFKbrYryIyt6mIMK6JQAiPAruCrMC6ktRlVwRQCkYCTCDp9hzPzdfpJE2fDbB2HAYuTHvWaws+mruZVe6sdkApbFR9uRr5E9e/J/AvLqmQZHW+wirWzITKqwuL5RFP7naqD2Sv6u7LdhqzIEikzxyRjcsdJCGPNHQ83+PqTNTscXLoW4GPsXTg4QowGw1RqnseZvLLs/lVuxTlao/JOa2vD5TLFZFuRWN2tS5miJamQqFSihSIOHV5/bcTrXzHg1JdcQp0txbYSigSHocB22ZDJSyFyGwSTTVJVxZnOHZXsWhFZVaG0yDZ59lLmBVhlbsDGgZZhq6t4ztDlqlexLavSpfId8mOvs+6hVNgKTW1StLG/L44FK90ajt/A2bZt24oS8ZeX5oK/I4Wu7OBV1d+jHzx+W8XilS9SAtuMMHlVqows+9Xh6gWwc6CXZaNV50TK1Xq7agfmqXgpbaeO9BLueczjVz88QWqc0jmRCiGk3QdIlGn5UQavOj5rs/cIuL8Z0MeSPeMp+6pc0eRTr7JiLFE6KoUml9YbF9ohSTSel/JvfrTDgdMO9zwq0Z7IIGt/QKwVAyjzGlQ0hxKj44Izd8d64dlqy6g8kVnSxGQpe53XcDNavw1Ws4+6IpV0YjXRU376yDEtCdQU+w0lWS2K5zoI1fjy+vVbV9Ttr9zcS8KFIzWf9wniYiuPctzC2Ny9akGUGHtdZPkqzQqFO1JN1uQ235i/XXxWNYAcS+ZkNd6lLagr223oTGvriixJKwkd22t5eknwqx+Z4P4nG9ZXkl5WEuviSEFNgi/JNrkyq2u3R+5ZA3QxJGd0GFFe855P3yoapivHrnwtCvlW2qSjFZV2R+3K3JOK3Ct3Wyh17uxMgu8YHnnGY2Ugx5YaWUwRFxWgFwBbdXX+VZalSjFuRXoBIxPLqxncUpJVL/q80M9kya/KXed3sk21jC2V1YYo1qTG4fipCz/y8GPPHXAclW154WpMYAqnoNTZpvJFymmyL/7zoLo/y4gPXjCfGQk0q8wtxgLMqv9daO6cxUeAXXVSqoFlVgqbPU+9lI98doK/+EYDEygQyqJTOAgpR/oty/7Gb9IxX/y+kYO26qBU366cxyqRj53g0W778Q4fnc0PNBlzG6PLGhUhkVqRCgc5SHnbawe8cNTl/b/vEPlJCXAhMNolJKudyaPGtKrF8w4vrCbXWXYzY/cyyMxYW1hf3GTyZNQqNGOWYa7nK7pbjB0cVh+oMhGlyxgZSw5WK+UXhsYZhHZveYkgcFM8m8Ar/sF8KM0qC4u1v8hqHV6CWFSZphJgVplnHNgFoEXue5ddLdXt7XLmLp7LMqkji5qTlDsf9fnwlxoM0yySFrk1mGUthRnR3mum5qtAr17E44HnCNjXZj+TBXe597wqo4lZVUJrZCWzKSvOilCW2WRWnCU1qXbwXc2PvrnHg0973PmktQtzbxwp0MYhTLOgM9filOn4THBngWVuDwpUZglWQS5FfiFkBVcjAK8cuwqgq0H5WhxhRli9esFXwZ5XmxpaTagF9pg4zVpi/3FifJXgebbopRhdoKXdmlvLSl1EdekZ56bxE7wa4FVLUIwAvBJwiiyJI8qdvdQqHb4Gi1fZW6ZlgOnE9EP4pT+Y4OgZH+OUuyWPaO9cIokxKVYFMGuAGSqLfeWwfBNBPjJbHUpwZ8/L4quqHl9dm6JlVnEoqyyuEKlGCAcZaS7ZHPNzP9bmwX/t0x1mP0bL4nul0u7FaYWt/RI2M56DHdAZqMkxb/s+TRZcZqMOLYnmxVeZNjeV4zden2L/OcOLLYBVKVN0OxlIdb7vZ/aZ2HPn+5pUp2itcXbtqCGEQxq3ScIeSpWb/cSJJE4UcSIQaWW0b2UZXYvGq67KeLRcnR1dLaTKgS5HmFyXEiXvSxRrgHvENanszpt53o4Tk6TwW59q8uT+wHreMmfu0jlxxagsUWKUtUUV7GPMnaUGqQ7dXPtUidVvVVipbICgLGYy5YZfI9WGwjJ4EXRqaUGeSrTI7mkmVbTmur0xP/X9bf7rxyeJ0oxqIUcjKYpQV4JOCW5uIWJKiZKB0WQn2WSMXbC5tBdHPoWqmCmYSTpj31rlzFUrBqpSZQTgugR2nNgtLeOsL9NWXxrqk00aQZM0SXEuv+bNSKfFcOUR2ueeQoiAOHboDX0GocswBIFECNvvJoREGPtDjTCrzts4c69O9FRrOaobGK12T8pNR1+EvTM5IquyZOSeBZZBytce9vnQp5q0B671ADPPm6xJ1zonZdayWspb1eHlaLY1ZhCOhGWieD0C6TVYexXeR4BegnyUtfOpsHnwVZUq1kZMpUIabetVEkUr0Pz42/s8/rzPHQ8pqCe5cLYfLgWJlgzJYwprGaIrWjxDo032UADdCFFkOo0uZUl+HyW37NiZyrGrsPn4galKEm0MaZoBO4F+LOhGgnYoGKTQGyR839tfzlteezULyz2c9lDg+4qzi5rn9vVAaLavh80zAYKW3bZN51ve2eVLVDNYVXBXrsacyV8M2KNRf+a0VABut4xeA+RCFyw9wtzKAl1WqgSlTJBOwv7jDv/jEy0OL3rW4BcV7Z1VDLrZrJPC2VgrqGT0ZJTSZKybqXIMVi9vFdYeX4IrunsksGetND4jYC8KsYwuNpUVuVQRxkqV2LBrOuEfvqPL8fMOh84IjFMVWAKkS5qBnDGQ5/LFaDvkkwqTm0yymApjMwbwvE5cUtaj5JK/CvZVfFD8XpNJE3uPU0E3lFwcGDaua3P9hgG9wZBLtgyYnRLWKt53ImB22uUL90/wH39jO9INuOnyFX72h7psn0uQwqeYxi+NHdeVBSMmX2+qJ6/qgVcBXrWvxGrWFiLfmm7UOSllyuiW0uPJnJzN88YGKRM8P+F8W/BLv9/iM3fVMa4q0/HfhL3Luu/VKflVCa8x5hkJlETluIixkzYuUcbeW12TUtXhOaBNkeE0uQ7PGFyK/HkWfApNkmpcaV2Vdij5mV9XXFgR2P0iy7vBITGSYUWDj4BclHLFSFC5PMmAjrDlsQYrgvJHkbF7nl4vYrLin12jMK0oaygv8vymDUSp4aqdK/zcey5y0x7FYBAxuTUmmNRsmUqRrcBjotE4v37C/+obb9jEdVtdzpyf4+Nfn2V+xSdJbdCSr05i5MRnu2qNZRvLzUIZ8bCreyyWciPX2OXmolUAv6gdOJaplDJFqiR7bmtNIjSff6DG1x6tZ7UmqgD2KHuXuwZX5w2uWUwlqsdhLJZcpUcq4F/L+qrWoowF79l2TqPzQyrMXcwSQWSMXdn2uhgeJCvvlRWHwkje8PIhb31lH0+kkCSgK3eTYrTdpn2oIdSCWENsBIm2W7cn2rqJab7HZh78Ze+Xm2pR8avLP8//v9W9OrU22c7L1RocK8FG5qxgj70jYf1Eyrtvi9k0tZ7HXtjKobPXsbAy/VVD83wY11G/+9u/ya2vumWlVRMrE/X0B4kW2LXRZ9NsnammA9kByjuuRXbW8iBkNHgst9EY6cZ50eaFsp9ytLakUttd8bzlWsxd6YgvdLeTkErNZ++t8f/74ATHzvlZE0OZ0LE1JwJfQiDtIHsnGwOXzxYvkznlaDj7/cvB/MWUWwFSSoptVcTokH7bQCJHEze5Uzd+rwa01Rp0MU4wWYBOpc5Drr3i5FeaEJb6plspl18ac+qi4tBJx27VXgwtKa9YI+z2fWV8UZlqNpJfLOvFxzXZi3gRIxf3qthkLBGU/1lRJpGVuk/WBA2vzsLyJKcvKFTtMrSY+RdHjx1/+Iqrb7V79KyfTnBdSbTBoPsurucwUTdEkUGSolTuiuRWzmpLp9SfelSiiNHH0ZJYM+aDj2puq7dH5UkZUJbMnQM7f3TdlGMLkg/9eYMDh31oqsItKRI7UhbSpOizZLQ2/UU75kcsLjFy0Yux4zF6fMqAZa1kjyURPZbwGQs2KV/n6XspQGs7my/3xkXG4kKUOlyKvCvfIQ4Ney9J+NHv7fLosx7H53MTu2CxQoYkUjA02JqTTE8YaSDbgc0mTGxyJ9cOhV8OCJ0XZZlCqoy4KNV4xpRAXiXdspvMzB8l7VbsJ84pltqaOI6J5JBEDoiiyiZUe/dchuvVmGyEOMkhwjjGZMUvaTFPLp8/WGlYHTkeFb3NamCLAjimwkil7be6BkVTdU2svKmCuwr6FCWsNHGclKWu4Df/uMXdT9XKKsEC2KU08cR4O1rZpaMqB3+VLcg3sQphXKX8pbdqd/1IVaGpPmYMmYFMZ7MBjcj6IUe8cZkVIhmEttZlbhsKoexlJDRpX/Pa60L+8Xs6/Kc/kCznGwRLkReT2MIro0i0YJj/8MxVKaoOMwdFWarPisNKf1xW6NdU3RQKo7K49PP7SGi3xnHNB7ICDKOU/jBlEGpedsNmLr/8Cnp9+2MkwOTUBmbWX37HRHD8Vy/bMWRuaoDnlJUDpbAf7cAo2HckKDNlS1K1pjvX6BWWVuMOiSpZuipLpByvDtRFhjJn7jyhMxSG3/l0g9//VJNunBVS5QDPdLed3WdT8vkoiGKuNqMgHvHBc6aunIlRMJddJ39VpI931+eTxEbsQhgLOKvDOSvArjgrdu9NGz/l7W35AE9t8sFBDk0H3vf2Lj/xti41ndghI4UWT0DHoBOMqWhyM6bJjdXhVp/n2lqMaO9cd2tDtpNcqcmrmfJ8i/hxx2iczYsLwUAcw4Vlw+lujccOLv7qjdftvWPL5g0lwGutLex/7Mf72uw/9uDBIfc9bwhjO5c6/9dWL8/jyZsS2IULItYKPEtZUg0gq0FnHlCW7D7K3LIAd56tTJAqAVfzwhGXP72jTifOan6pBpXKApxMmhTMXWFvWdG7FbCPPK88MvZ3i+M1gu9vjvSyXW3MMswDTVPuZVleBJWm5KLrR1bALirBZf5aFaDXWmK0IokVTcfwA2/ocfllITJNwaQZuDOQmxR0WoA81BBlIE+qIDeiCB5tEFruGldulZgDPguOTTWgXDsNv6pEBAorVQjwPMHNV/e59YY2R86fOPaGv/8z/csu2QxU9qoP/Z/ErfucX36A46eeZ9OkYqKZjDB1NStlT1upxUX2Z1azlrUlltUqkqTa0JBp7Or7I4xd2INp5f3RNHz+2nE1zxxx+alfneLZQz7GlaUsybV3xt6eLH1vp8LeL95zubYkGUnsCCqvSmr/K8kVM/p01BcfZ2/rLEidJVeKaVjZLgzCBrja2IScMMY+11njQS5ThHUsEAYRGa65NOYDP7PC+/5Pkc1Dp/T4tCieGxQJIttPNlttKpnMXMebXJePSxaRt11QBK/ocsPY/BjkSqEafObHUmf/yc9ZI1Bsngl49a0vY3bLq0mTAXs//P6SwQFazU3U61vYuWmaLbNqbLZfaePlOnp1fXferVNN3oxlKqsgFlWbsBpAjvncq8CtiwBTCZvQcdyUrhH89mcaPPWCT6rGkjkyz1pKK01E1szAN2FvQWXH3vw+NhZiLEiicgH8VcjbjAG7inBjVrP6amZfLVlMztiVybRFi5updABpiTYq68pXiFRy3eUh/+B7ezRlYmehmUyymIp0MZbJYwOhgUhDrAVxZhUmFfYuZEkuWV6UrSs1NqzB3Pl1ZkrL0a4Sxn5eqjl13mWxM8f6uc1MT20ujmvB4PWaS1DzD2/d1Dxi+vVdjaBLI9BZL2R+GYmRk5G/Kk56BfyjxVWmwtR6DOgVkAs98rzqnMi8WlBkzC2yKkE3pa/hQ59p8ImvNQhzMMsqe1s/TmbgdoWhOqFqzazlizko+Q+vPs8NtDXB/JfJk3H2zq03s0qHayhGGVcHA8lCspjCOZEZqwsjEFoihLbBpm2Bz94zCDI2Tw2eMLzj9X32nXD40Keb9GLsAdM55eYmNJAzeU6p2Y+3LG6K90yeFCJfCUZ9kTKcsXSdxbVl91yFCEzlgKUiG5ecGOIkwfPqDCL/iFTeYW3KifgFwDdu3MSJA5/76q5t7kfXBc7PpcNF4tQnjBVpWk0eiPJDq/pUVoFdYfV87INYA+BijMHFWuBOS2bPwZ2l4h2V0I3gQ19o8H/+fouLy9nOWaIaWJYZy5y9lbDjyEY7dKpVj6sj/XEXZZUmF6tPmBDfHNz5WRv3gqtOCjnoqwyeS5LKiAmhrTTJ0/oj7xXMbuu1rRmpyvOkJQKHJDVsmEn4dz/WASP48OebdOPsgOUgz680AQhFUkgSilIOdFmXojIJYrIDmbtA+U5puYTI5YocB3l2UKvBeL4CJKkgTATtfkIwNUMvqX30Tz99z1ff+3ffUhxeWT3W9RpMNP0vxnSeOt/tImSbRhDhOhU5kbP5yFJtKie9lC9yJOjMQCvGgsxxcMs1wK0q2cqieSFFBoa/uKfGL/9+i/M5uOVYtjKTJrkt6AizaoB9MVmLb8LcFZ97rbrlgoUqMvyvfBtjqFFJIsY88WpWM5ch+RJekSYjKX2RuSliDbliXZX8eRwqNk6l/Lsfb/N3butDWEoTK1MqQaixJXxJJlesZBHExmY708I9EUUNia44LONSZbSicjVrlxJF2DqUSDAQMZu29HGD4VPCaXwxFd7IoVXVF+//9Y9yUW88+fAL7k2fu4/rt85GbJxxSFJZyJP8VFYXmmrXfTX7lmvx/OIQVSdFVeWIGfW21Ri4RbW2O7MGA83hMw6/8qEJntwXgJ973PlcQbcAeB5YWt+7kq0spArlbnKiknEV1YtgbM+gkdflZlki/7Ms2Cs21pLVpmlyjQAAMeNJREFUbVwqF1X1mI2NsxNCrB43LSndqlXTx0YtzWrgNvLn1dWncoUWm1Vpw8SEphYYHnzGZWk5O0jVmxjHg6A03crkV/kgRq99sbruJK8dr9b45H8lX+VyOzQ1EKWCvbtC/vW7Yq691P9CXTz/Wz/wrn848m86jN32brscIQWELp2uT7uXFF3rBlmMqyXza4Uoej5KNh/JTGqE1KP2YfZ6bfa2wBZiHNxJ9ncSlKc5ctbhP3xgkrseDyCQJWuP6W4q0sTJe0JFmcxZa8b3qsE++WSuKrOPs3Z+Mqv3Me2e16aNuyT5aa/uhTOmWEp/3OSFR7n+tku6MHZjqLWKskReuyJkkSSysiQ7V8agdSZZMrclHSbcfsOQX/ypNv/+AxMcPYd1VjIHxTLbKFemWhDJ/DtXhPSIw5LTcXbsshKDPJ1vxi68av04lCuBAKZrhmkVsNLexLbtezFGM35bBfD3vPP1SKmie+4aEHY7xLEm8Cy4olgQJ7a7x3ZQmKL3Lg+PRjX4KLCLDOWYHWhfpxnwXwzcWZ2Jqzl+0eHn/8cEn7ijTiRyv3tUc+cgrwaW1aTOah9/FJBUHgsWWkNzj8QhfJNb9Q/H8s+FBq88VmXJSLKHDA3Zi9JtMRmIBTrLXtpdzSzwc00uhA0u89njNtOZg9wGnWREFTiGd35Hn1TDv/+tSU7MixIx3wzkgnKchMyDNVOANE8YCmN/i8jKZ3X+XnasqjU5ufZODYSJwJGGum/o9wWnlzbx6jd8R5QkyV8O8NnZWfyg/q8vu3TrFRdPHXltq77MZHOARmN6Ddo9nyixyRIlDQhdfFG7G2jFSckH+chR5n5RcOcB5prgtnvrnJh3+Df/bYJP3VknktnWa5XG4VHPOwP3iwzvWVU1yGgj9Kpg8v9u78vD5Djqs9+q6mPOnd2VVtJqJe3qPiz5kmzL8hXjCzvkM/DZQBIckhBykDgQEggOD4EAAUwOrmASiCGJw/PhzzZx4mB/2AGMT4wPsJElWfe5Wl2rPWbn6O6q+v6oqu7qnllpJR+yndTzzO5M9/T0TPfbv37r/V2xoU5uvbaqkvb2nPywSykbZcUgPyWdGXVFKgueVlSQsuIwikpsvY1RMmpKvCd1DgVDGEm4jOMdV9ThMOCmL1ew+7CXENvJQG6svAZ53N9EKyqxwK0vXiO8WNON2IiYgDe1lcRInWC4qX5bJCR6OnOYMXPOj3p7ez80NlZtOZY0uyCXL2Lz898fLxb9zdO7OJ/WNYIXBsdw87cFtg1yjIx7qNUdBCFV6orQfJyYCaU1sbSlQJKhJTH3Tiw307Em1FJLDLipw7H/KMNHvmLA7STgJlnrrahJMrFEugOwdaexI/VSpdisg9xWQbGOWfJcHt+SHxPZrRYcGQsOEO3KTiaQNt0RGWDHpZdjJYXG26lwWjKJTs6Up5MzOBy47rI6PvneMczqClVTnHiSmYTYqmURIKXiyAIIpNbJ9WTThNnaXkxDt2wlyTAaRgHPISj4BJUiw/y+AB++YR8W9Q9jf5VjPHC55+c33/XvD4xXKuWWQ+pMdqyj8Oh7m7Jxzh0PyzPv+NFMjI4UQAMHywdcdHcIFHN6MhafcBlTlRZwWxY8C+6Yb+tsHKWFc52Rk8SccAf4x3uKuPP+AgITu9pCSdLUxNOeSockOZZZj2UKuFZ5unblIcyRb6eNJwwcbSdQx8R1JtYi7eRozehBxooLGSeYpb2dMquoaEtvNHBJQKSaV6k/JpBOZwFJ3eObSzgQuP7KGjbvdHDzN8uIgGTi2WLJCVRdcoIga8n13YhALePQIR4yo/EjseCuAxR8ikrZxYoFDBctb2LV3BHc9UgNR2pdPx8eHX3vtM5K22PbFuBLV16OL9z6dR6Eq+SXbifoLhAs7wU8h6ERAEFEkNNyVHzFTRZ30ibctcWJQxIrnoDbOHMEiAM88Fgetz9QQJO2oSMpdzxJqIkBN2w6YmfpJC7iVMXbNiAHsmC2dAG9osWLORVwT7aQWOAHMrSFWBPV1lIThoMLKa2wWRKXT4sr1sbCtlKgFYuQCvSCJV+GMhABeJzj7VfU8NQmB/c/XoAkUVrIToFcwhTfb4qEkxu6QgxdkUTvk2jnFFLJ7KaQvuMQ+B5BM/SwZXc3+nsd/OnbRzGCGVJiiJ9+9vVTBzgAXHDuL6JWa9y+7qmDS8LqweL0TgelggPHSVrRtSvck3W5t8Ryk3SEYHpZQkso4WCOAHUk/vPRPD705Qo27vB1wrBNTWynTqKaJE2j0mUgjHs+BnqMT2k9t0BtwBxPOjM8pQ2g0wLaMcDdxlWfYSbJ+0hy0lviU+JyDXaCskz9j72aUgGNgOr5E42pDRHaAZT5LUTjlxGJlQsC/O37R/FBCtz7aAFgvA0nT1+2EhSBMDErhouT2DNqFCpOEpAn+ri6AKWUiCKJ8QngwLALITsgnb6JM9ddfbvj5gDc2PYYM0wyvv7Vv8Gbrr7imflzKu8eObKv0tnholxkKBUkCr5AzhPwXQHXVe2wHd3JzDR+sitNpQDPWj2UbcHNBKgn8R+P5HHTVzqwYWdOgZsmpR4SR44TW29GoTVvE0xlpaPF5dCMhzWtQbd9bfTumNYQ6w5AMssS3ZtYr007mGS9pXnTNF2K/1v6OmnRu5P62q1auL4zmWsiplEkdbGm7jj2xWypReolSa0jApjRzXHG0gh7DlBs3uFMfiVntHJhroFYHzd3PtKiUFHrODm6/Tml6vtEgqLWJJjVt2bo8OHqDX3zzgkxyZjUggPAuWtWYHx8HPv3boAI6ygVJIo5gZwv4Lki7gFvyhe3FJ1vk4ljKAqxgqbUpNKiK44AcZSX8s++0oHntxtwZ+lIEuMNooCYkgTRJoEYFlhh0RCkD3AqgCoDiqwTIuvVtONTJh02DUHWmtsKCpTPwbLOcZxKrJZYLnwNSsPDScy97RorJOHiJiWYanoi1L1M6NeKmrPYPU8AIARWDoT49O+PQUrgu48U0uYy5t2wlBNlySOz3sSuWAdD6T9JSWXKVTuVIAJoAD1fixBxAUlK6OhehFK5dWI5ZYDPmDGz2ahP/O7AvNl3HD6wuVjKA3lfIO9z+B6H53K4LofL1CNula0Do7JRgkoDt60317w7PbGEA9z7WB43/V0HNuz0E3CTbPICU0eSUBBtrU1XhlR2vA3qbMRgO5Wkzf8W/IKkgZ0B9ZS5uEGxBfbsuiyVkaaGYGbymYorJzZF0RNRSUGksEAOHVZrllFdzcrem77kqKpHEi8LgFUDIW6+cQxCAvc9lk9mijGIoTm31OtUg9qIqL72QlgXKZLydTC6ObR1j3+nCgoLAo4F82dNSJDfnTFjRvOkAV6tjore2fOe9FyMPfHQlqLvBvA9Cc/R4HYEXIfDdSLVKpsmILe5NbEATnTQFIl1byu2m3FIRvC9H+fwwS9WsDEF7smst6IDdqxJHCEY3/7bu7DbOXriTHlzW09dAMm9PL4rZy15isBmiHwG0y2AtvVhtPJwqR08qRxNazJqQEviSMJ0U1dj0YmlqkBPQFXxH5oUsMwoLCYcmnOL1QbAiv4Qf/WHY5CS4IHHc+CAlaOGxJoDGugMEiq7qEGUZOhTTV9sqRNIXZxcSIQcCEKJUsHFugsuHJs/0P/k6OhYq/tyqgDv6p4OSt3DY0eD65YvX/bg6MHHXOawWC1xHA7X4Zl2IRlerUNgSWy97eW25i0gGcEPnvLxgc934IVdXhrcVqEeWzEBJelAKqJ+FCMyife2gG4nLqTAnJUB2wDWtuqtDCQTa4F2L44zjMUmk09A7YeR/RKDbns3E3d+mp6obSAoCERcXF+16FaBUNCVzISljBANVApdfD4GucSK/hCf/6NR/EEEPPiUDXKNcCEBahi4UlcAlYgREKWHh5LAlxKRIPCZ1KBO4r4dSkACgEcR/tc5Z4cT9fC6jkrH4Vw+f8xDSo+1kjEPtbEdmD5jYF/v3PnbOzuBjmIV+VyIXC5AzgvhuaqZk3koa65LpumKrnYWTjYbR1luAekQPPATHzf+dQWbd+WSyMBYCjTgtoCuyzd4JFMV1i6r0KZ4T5qiJKBPp6qlowfbGeN48kZODMfHwHYLRbETH5JIQxM+m+XgifVLnDtW1KFRXLKRhtn6KSmHUJLPaRxCpgGt0J2WRUCxZG6Iv/uTUVx2bgOM87QzKE6Y4DrHM4zT4aTgiIREgwNVTlDlBOMRwUREUIsI6iFBLSSYCAgOViVIqYzTVi7bvnjh/H3rN+2C73vHPK7HBDgAEEpxx/97YNcPnw3fM1hfCYIArhPBcyL4XoCc14TvNeG7gQZ4AJeFcFkYlzCOe+PoLguxd5JwMFdAOsD3n/Tx/r/txObdOt1sUnCzFLiNKz6WBIkVCUhtDi6nNKm0rXO7+O92E8z4f1sTfgIIbwP45LmlfeudtEiLsVZuA7/1tfE+x95Nq1BQ8h4L9KkMIJPEzBLQC6ZAPifEFz4wikvPbYByAYQC6oqyvZwmkTlQ/2UAiABShIg4R50LjEfASEgwGiqw1yOCgBPUQ4Ebru3HOSuG37N//727GGM43nCO94ZCeQDViQl4ucL+w3tyDx/cue0iRxxF3o/ge01tqXkcWBU/kI5LUTNjw8MVRWGexO4jFI8/m8PHv9aBzbsmAzebFNwpvZskcSbtAN1qxeWk4DUWO44Psiz65AiWsc3IJkAcC9N2fcdkZaKW2G/WmZUp546x9IamGMoSZ/lkqIzJ/DHKiaEoSjGhCaUQipMLqIadxFZHKACRAIxCYXfpvBBf+sAoPvY1gSd+lsPuwwA8gdhdaaI8JQEITw66UcOJKnHRJBQBYWgIipKkqDghFveWMTD7zIfnDVywf1bvBPxc6cUDHABKxSIGdz2xlTrdXypUzryINu7DjK46XK8J6oSgRMBUbIlCgEfpezYhIgnNNDEpvsTmfS4+d2sJ9zyWx6ERNwPurEPHgFu54ZPcShnHmrR0Ic7QlBbFxJb9kFmP1vW2XtwuNiWruBz7YpgE8LEKknbLg6TBrMM5kYRJZd35ltfTkhETK59MTAHEnFxA3/J0QJaAOuyKkFtpONkMHwP0AFg6N8SXPziCex7N43O3lrFlrwv45kcasJNkhmwGJ0CI2E8vCUNAfYw4HmRO4Fd/aQV6ustfuv8HT2y96rK1UzqmUwI4ABQ6+kGdrid9dvTu9es3vPmxDT+F60MFPIFCCgnfEVizLMS8Xg4REAie/gwFboD6wNZBB5/4+zLu+q8CGpxlJpS29ba9lHb4a7qed5xfaTtlsskCaGO9bUUlxiNpQ1uMfGVjNku+NaRl6uUxYR6D1wgobRSX7H+bbhiLbU9OTT1xEi8zk0tVfdZ8R2F0b21QhY4pN1gmOgqRCqoMezy5VJJfyj1vgzwCZnZyvPOaGnxP4i++0oFtgwA8qYEt0paASyAE5vaGWLMsQM4RKuMfFKYyV8+ss7Hq9GV3r1m14MkDR8anCtupA7yzaxaaE1t3ebPOe99tt/yEff+hkV+q1UNQSgHJIXkAhwZYtqiBt19Ww7UXNjGtwhXIRQIO6hJs2+fg4wbcoKrjE2knAWbATVvBbVtu00ve7mPZWtevjQVu8z+LSFP5NKbZ7Xj48dB8rDGZFo60KpJY7jTghdRttomx1JbljvM0TTitKT1BYkaiLDIFhJq7SF2GGYICVEAKdfwTnVykgE2oUjzi794EfEfgusvqgAQ+/tUObB901AmzMz+4RFcnx5svVLhZtjCCSxhE5Oh4GAHCcog8ec8R77z3bdg3uPvMxX1TPqzHZ+nW+NSnv4TZp79pdEH/wlUbt09ctGNfDaEsYqSZw1jDxegEwba9DI8+7eNnL7hocIKBuRwFT90WqU+w84CDP/9KGXc+UEATVPnR28VzU7fVctNWcMcVYWk65iRFTaz8S7uYZcriG5d31jVvillSO33MWHjTopokKWb2MttVn1rWXtVJLdOgmTTTCPYyPT8wZdL0MsDW/+1+njJFp7LafTahI76jtdzBko2zXS3UYgGPSixbyNEzTeCZ5x2MjhKFOiHRleN42xV1fPjXx/Duaydwej9HyXfgshwoKQKiBEpcdHQuwcw5b/xOb3HLd3p7zzohuzFlC27GWcv6sHjRnJt3btm+oJMMv33fgTEM1RgON32IkANc4kid4LuPUTz0Uw+7Bhlu/NUaCp7EM8+6+OqdBdzxQB6BiYWMU8uy1ntq4E719YE9mbR4OGxwpLN3kpOYACY5S8nyhGNnaUlGkTmRg2noScunydSytHoCxa8J4vfZnF0SHVClaUBsxYnF0Y3ltiaNlNqWXlluSgEhjKVOLLkE0rQk5uQy0cl1uC2POHxH4u2XNwAB3HJnAT/d4KKQA278lQm8/1eqKOcEKKdohh6CwEcjyGN8oogjowWATcPs4um3l/Pn3RzW9pwoXE/MggPA12/5PBYvXdvsnTXrXifYd0mzUZs3OCJQDaF+pb6FCiLRaAJPPueiVBDYttvBb3+qjKc2eQihM3wn49s0AfjxwJ2lJQbIaU9m5nm7ZTSxhql1lmVPW+1kGbXWEZpY6ala8OwjbZ2t5dRcSJZ2bwdbpax0O/pl0SySfFY7idS23K2vjdVOX5ipz9WXJtEXIiMSyxdyvOXSAAdGKC5aHeDP3l1FhycgI4KIu4i4Cy4dSMnQbPrYtrcbQyOzHjln9RnXD+7ZWJ3We/4JA/y4Oni78Vs3XI21pxVqv/HONwXnnpnHsv7DKJAJZUaom+jWkoAI4MgIxdAwxUiVIjR1qOPi4tp6I2vFlTfNOUFwKyoiWyy3su6yPf+OH5nmUbFFJrD/mZMb3+YzpPlkKHg7372cdF3SrzSVjIzsJDSjjbdbF9c1TDJ/7EyglB6eKT/BRaZSll3sUz+krpcohTqHlbLAzGkC0zqFihEngJQUnDuqwhYAoI7n94xh1xEHS1a+Mfj5tkpt3pI3ncxRPXGKYsbM3vmAFD959/VnnH/9pc/n33dLgPuf7gUcFyKUgAywqDfCL10ygQ+/awKRAL7zQx/PbPAAzyBjMoqipUCqums4RMZdGOzMHGKB25Q7TsWdtA0lTVOKlpF5TwxmcuxtXsqROHlIiqwk0YWIqU2ioOisfC2xxe8x8iASsJu8A/vCgExq/lE9tzRSIBFU0x0RB1MRrZMDiCkK0VIx0VcP0U2ypFQyMRjw3EYHt/5bHlwoAe7aS+pY0A0I6SAIfXiuxEPPCXzoH2fj3W+9qL54Uf9PGD0pOxx/tZMahWIJuTz7SM/cN3whICsbkD6mFygqHgMkxdrlNXz5pmF8+vfG0FWKUClx/M61dRR8c0RJBuSJzk0scHtE6lomluatJ5QOydISmaIcaQdPm8x5tFdRbNDGy7LSRotEmF51wqPNnQB6vylgp8orGyKQbJtNSkb8P2vF06Ul7FDaFktuWWaue6cKzpKenMLK7RS6iq1lvc0BqQUEX7s7j9FxhuGqi4/cUsEffKYTT2x0QEExUS9ieLSCZiOPdWctavzymy/5giT+R8odHScL0xPn4Pb4i098Wr71LWc+vGVvB9uw2T9/mjfBHCaxYM4Y/vLdR/CG1aEKq4lU3/tCWeKx53wMDrlJtzNqPYgDQlVTKD+btDCJFGjTkpi30gw9ySQWZ9uEpDl2+nNbeLeOO084dlpVSQr9ZBIejsXBkSg99rIsv27Zps06o4LEaopFr+JJMtJ3I+Ojzd6diP0sdeUTtF7F9ufKWKI13muWk/jpJg9f/lYJB0ZdwHHAhYtt+wrYvD+H+bMJoqAbOwcrWNg/L+jpnXfz+u2Dn7xw9RmttSBOYJw0RTHjmfW5wPVmfvbqdSI4NFT9xODhJj3/dBerBkqoVR0wFoKxAA6PMHNahLOWhHhyg44Aszm4PsOMJBk5rs7EiXtXtngoNa+2wZqR1to92p2qFG1JTazs5/Ypj2ER/5R2Y7LlQCa4ynbX255Lklk32XuhLLChCaoDnowL6SDm4mqPxgGkVqkPEVpNARKBJO7EIwBJVJsUQGgVJ00AYnDr8FohCag5sgJ45gUXB464iUFjLkB8PL2lG//4702cuziPWlARIrfgE2tXzfvbg4fHgheLz5MnN3r85ruuw+oVjfpVl/bffd45K+Xsboq+aQWMT5TQDD1E3AHnLnjkoNMDrryggWKJ6/hjQ1GS+oE+BXwNbodKFUhladxxqTVjmamVUGyBO1YZkMZr1kUPG/QZ2hK/ytIV672pE5ydpJ7gaIkmtJbH6+3JZLvlllveID/JzkdMGVq6tlmBWKZDREI5dBc3YTq6majC5CHswCuZUBopVTzLeJXigUdzONrUhZqoAxAP1PFRyrsYOpDH3gMUc+avlA226O6HnuX1s9e+5cXC88VbcADont6HmbM7tozVOt97wTry1ZJ8kBZydTDGISUBFw4IJDyPY0aFw9VNrWzrTQiBT4CcBnccIaiBbdMOu/Kr7RSJX9sTwja6d1sD3WKtMzfjdhud0Ehv2C6+yl5nB2KZOWO7N0miKrK27kta+1GWmwCpWHNp3QZM71OdjpwUkJUJHVNaurLOUkpIKhSIU7uWIETlDAhJ1T6Iatp6aJRBSu3Eo66auAqO8QZwtAEsXXG2WLVi4XvdjvlbmtVDLwKRyXjRFhwAZvWdjcF9JBg4/dxbT1s48scbh1zc/qMaIlkHo0AUuQi5B8EdyEhLXJnEBY8Cvm7n52mrbR4sTh42vX6OoWen+GnScbedkhLDzrbQ7allqo96+/eQlm2OObLhsbL98tT7U+8hLdumC8ZnSi5by6SOMUmsvh03DtgF9IX9sKw1FxScs+Q/t9Zxu02KlosJQBydNM589RAEnWwM11+8Hdf8ArDtkPjjNavX3OqL4eC8s5e/FNB8aSw4APTNWYjx0V28Z8HbtpFnnx3/h2/fV55obMY7L6NwmAvXaSLnRZBxcXKiwE0pHEqQo1JNLDXImQa5PYFsGzOC9svjiQ4ykh+s3RvwA8eYYE224DjLp2rqtRfyxVKbdns0oCZairEpvTAUThLEUVmZ+4opchln8eudKG+pVB2VJQGTIskJ1YMKCSpETFWUjkgB6oOyHDzGkMs1ccOlo/jA2yrwp101HngXbtszOMiXL1vyIo5GerxkAAcAwkp4akN0z+UXr/390XHyhccfo93PzB7B0v4Q5SLARQOQEYiVvEAo1bxbg5vpWoI0LftNBmqgHdDblE3IgCgN+DQ0JsXyVIx0u0nhlA7e1LbTSmH8PF4uFYWISYfUE2BilHTdft3sKK6GZQLhrFBGnbAcfyWtrasJvf4UDXrThZhZciAhEpQzMMrBTZKEINoR6KDgUsz0BRbNkrhyzQAqvVcNd/Rc8H5KRu8Zq528JNhuvKQAL5WmAQCGh0dve9db1zlLZ9ObD+97qGdkfBD5XB0AAXUICKWxROgZ680kPA1uh0o1D7HVERwDYDF4M/Wvs5SDtP+MrJJyooMc5/UJbWyGPMY2GTDHi00ctUwahRkOr56nexPbwAd0uxFprL41UY2/KrGOoa5aZhImmEjdSQgASh1QKsCFAyEiSK7e4VOJrgLH4rnTMb3vDYfKPev+NAjD2/KF/pM4+sceLynAzejurqBarX5z3brz6aZnhz4jq7t7HBaBS44te100ohzgeHAoQ55K5BgUuJmEx9IdGNpZX3N2ksMvWxSQrMcyRVMsC/hiqMFxN54qF5/kfe0zfdLLpqAgmvCgWE5M3y50Bn4Ma7Nl8gNkdpHm1MJk21Np5YAaKy5AKQOlDoLQg8dCLJrTxBObIzQjVbx+0ZJlh1aeft5NE7Xwm+0KZ74U4yWZZLYbpVIJB3fff2t3l/+h3t6u4UKuhj0HBf71/jLqzSKY66HAgAJTV7RHFbhdDfTsw2HSmmRaHd+otMJYMxdEO06C9EVwomMq9OXlGpm55Ql968lUmNgzapWSkCKRC+OHlgWjiCLiFGFEEEYUYcgQhuY/QxQx9Z7IQagfjcCD7/r41SvrGJgxgUY9RGXWnGHmFj/0r3f8160vF7iBl8mCmzF/+ZtRHfziv1D0BiKo//3PntxYfmpTN7x8DnmXoMAUNfGZhOfI2Iq7pnisDUKZaTOXcUcDGRmQtFrvkwW1PchJrpvqaKuDtw2rndo+Uxbd/gArSozoiaZx6afuECmlJWn3B825lVJFwHSpB/WJjt6FplGSYLRKcPaScSxbUEXH9DPG5wzMvfGZweDb3/zY21+Cozb5eFkBDgB5nwpa6bp9eN9ANCYK/yxFPTezg4BAaK9lAm7fUeB2HENR1K3QFK2JWz8THcvc5hbeVq5+USQ5PSZlFJkVJ7uLl+sCir2c2aCXjIBiKE2ynQ7QEnZsCrSMqO+cVIJxCeGQuNMgIQxEB2ZFnKLe9FDME1x+7oLGz4dm/NZIOP0uJxoVU/v2Jz9edoCzaTfiwYdv4ZdcWL6Lo5O/5eKRf31u485cPXIgZFLB32MSngt4DuAyVUQzdhtrbTbiQEQkwBF3AyCyFXQtqkrm+bHG8Xi5PM72LdTIfJ+MVWy3k2POK63Pnyyx4ngJF3bCBCz1RL3SlbCsu2Ac0Wg8mFw9Iq69mRqelCoK6Zo2kwb0jEJQCcEJxicY6mJ54/TF0965dxx3XzxvO/+1d/weXu7xooKtpjr+6ZvfxbRZ75SXrl2zaXR07AWHsV/cNTTiNjiFx4CCC+TiB4HvAb5H4DlU0xV15tJdDKwTa+8sIx+21c5bliXob3UMkZbnqTQxE0jVJtEhG4TV+hlqXy15opZ6ZM8rmHk/sj09oauHoW3UZGuSw+TrWie1piWKctdHEUUQUQQBRTMiCDlFxBMLb5IqGJPwPQ7HCRCEEtRfWmNe/7t6Zl9414pZw+LKq37jlYDeKwNwALjvu3dh0WkX4H9fuGcD8+ftuHD12OX7R0Zyhw656CxK5D0g7xPkfIK8R+Hrh+tQMKZuh9y0iRa6CJjMzvfbaeJpbt4O4LBAbINbgYlY26QBTqkFcJJk8yjQtsvsaQW4eY7MstSFlAU8TYCs2jWmJ9n0GJPuFkAb6c86DvGxsg6shGo+FkYUjSZDrUnRbFIEIUHEqU44Vm82parLhSY27m7ix1sWjnZ2LvqdT/7DhtsvO1ti5Tm//ErB7pUDOAB8797v4OIr34V3vOXw+oV9XYNNMXDx/v21AhN1lAoUBZ8g71Pkcwx5nyGfY8h5DK5DEHKJZqBK6XKetuItAEYrwLNWqnXiaZVqM+9pseKkBXipdLVU+OzUAW6+R9aStwc84iBMO6HaXma3Ppz895P0bzTHrt0d0IBcAmFEUa05GJmgmGgAzYAgjJIYcsCkxXGUSh1wOlYfWT84+/3r98lvXXfxdFxy+Q2vJORekon/SY0Dh0bguc5v3vfAo5+973s/6Gk2qigXnATYPkXOI3Ad5XDYc6CJTbsjNAMZT2TMD7BBTa3nqdf6TxbgiTUnKQsYJ1GYIvgazJQmE2BTID+eEFOSWm6eJwXwkwvCqER27meS4S+T1yb+narbfvI66WJnOG9CVZJmYEgdn+S1+u0mt9OmNUkeZQLuJJy20WTYsCOH3UPqvLgOhe8R5HyKQg4o5CTyXohp3QWcdsZFh+YuWPdhIaJv+LmuU4Kzl32SOdmY2dOJierEN6695iJSzJHP/PDBH/U06uPI+RSlAkO5IFHKC5QKHF3lAHN6j+LBjR2gEYPvZPrsIJ0Nn7LEbf7bMdSJh1rGt1iTpU6Q8P4WHwhaX7flsFMcJ7JZS1SkVeQ/CTCTbd+bOgRSp8TZkqFem2RBJT4Hz+Eo5AM8srGAsREf3SWgkKMo5hlKkQMpCaKIw+uuYGDJRYf6Bs6/iQv5jVzu5dO5jzdOGcABoFgqojoxceslF58XlUve5x955NGuoDGGjqJEdwdHZzlEZ7mJgd4R3P3jKvaPl9GpewS5FCqUHERXEEvc0y3xJ6TNCU555vQy47KGxe8tDhpjwR5tUE3I5OtaRip3EqnKVnb+Zfza3gfJWl5roolkecsutWdTJn9SX9VsZ9qxM6ra0uT8EDl/DN3dNTy2vg8LZ0h0FTnCSEIKCdfxMKOnB6efff7RBYvP+qCU8p9z+cIrBae245QCHFB1D8MwvG312WcNDw0NLSzlxeeG9//E7ekMMb2rib6eMVSbR/F/HpyGRtMBcWQcAipkUpJj0hgTeznJaLyw3NgwObY6NlrVm0zlQ9qNSltGylKStncQe2TjvGVmnZTtd9HKj2USH0/tWHkrHiX+YBJfL3G0uLlTaZnQGIcWqqMdQXmP4R2/UMV/PTWKF4YqmNtN0GhGCMIIa9euDnu6cx9atuLMba6f+67nuq80nFrGKQc4ALiuK3bt3HrPpW+4xpsYeaFWm81vkbXHSME/QvcN1/A3/9aJTbu7MT1PUHCF6tyNxLNJESd7t5+Q6f20gMhaTmDVr4GEIKqATpwdo2/jcRnjdrf+yVA9iRFPxYqYi08HTGWCbdKTP4tOEAuQ1FZWSHpH9m+PnTGapwm9faKBJ+EQpu13FFE04WJsooAlfRwfveEQPn8Xx96RDjhuUVx57ulyYP7iPzh39bJ/2rXnQLB0yeJTjCo1XhUAB4D+gUUYObQhKM6YftuoM//BWfN3Xf/Dp5qf+sRXHWzaNxMzChSVvIDPFJFohgShrr6ruqglt9o4qx6wLJQF9IzLH9AAM5NSXek3VZ7Y+q6JFSXxtlo/sOTHRKWYdJjvYcBN2qSi2e+1pB+7XHXSeDfh4jGt0Vdja6Z9EjxrgE70rYpQCcoEHKq+QRQxNEMXjQBohg5KoYMrzxrH3J6D+NYjPRgaWfLnK5YM3DF9+ow9z27YF5y3esWphlM8XjUAB4DOnhUAUJf1L21GLvzsz/ev9eb0j30EYh9z0dTOHwLOgf2jBMMN1e6i4MrYqtvtAO0cSXVypfVcFTWVFoqo5vWmtgeVrcBosdwxb22t6XccbLdOemX60W6jLE2x2wwyHUdvKIXJ2uECgEhn7Sgsq09KKU1M/XeYQN4LwZjAyHgeI1UPnFO4DsdY1UG1XsKCeav47721+y/XrrvmszNnPcL/5eqLTzWEWsarCuBmkPwf4pN/fwf/6O9e/7GhA4ed++5/6I8ff+IZv14bh8skOjsYVuareHBThM07S3AoQR4ydvs7jKRUlYQKqC7AgObwPAE5AeJW0qY9uYA6+a1e0+TDbaeQeUdCi2xGnhnWJDa+mxhOLo8NdtvpQ80kkKoepao/kowpj6lZkngj0VJPhUPXJjReYxfwHIFysYYNu0P8+LkcfMdFR4GgkHfR3VlEYfqZzVmLL/ibReXpH9v9QhHzlv7WqYZNeyyd6i9wrDE+NoaJJofLyGe2btt+/r3fvY8SROd35EadN5xzGM/tGcaHv9ELNyqgryNCMQfkPKIK1pL2bn0hgSiSaEZAI1TJsFIirrni6Hh0Vyd/u4zA0SfecQCHEjDdmJRRoi6mWBen2oIm+nfKUYS0pc96M+0GtIxAN9VNLLPjSDAdcek4Ai4TcB2lcJhmvI6jm+8SlYgQcoZGwNAMVBgrN7lq+gIz4bGEqN+e8yOU8iFmdNcgyDA++s081r/QgwuXO1i1dEbUVck9fuElV4jZff2PM8pvCiIfxeLxOy2cqvGqtOBmWBWNbrr3vntx/vnnloPmxNfCiV1vy/lVWs5x+IwDEeA7QN4jyPvK8SIlEHIdmIW0Rw4gGG8Ao3UKrq23S6XO9ldZ6sK0njYW3pYc9XO7GFAWzG1nh5lhy4AGbDH3ty5QavTq9KcmKgqV6mJwBDzd+Y4xFQmlGkXlMFFTMSTqYlYWXkgVOGU8kS5T3So9R/XNDCKJkTEKz81j3rw+sXDJgjs7K+Xf3rFzcHzBojNONTymNF7VALfHNVdfg717do8Tlr8xmJi3teIEK58/VH4zjw6jyCIUcgSlPEUxT+EwikZTIKxxCG2+GQVcR1ncnAQE4TgSBNhzxEXBoyi5QEEa2Y2ACgmmQa6GQmIyz7OrVpHY8hqQ23XDgTTG03HZUJ32tAU3XRSE3gcVUl1oSCs/QGL5lYVXVtxzI/heCN8LkfebGDzi4WjVx9GqA0iiov4cZfkpkSCcot5kqDfVHSLiDhwmUatTcEicc+ZC7Byaf/fll61ev3TR7C+OVxvjAwMDpxoOUx6vGYADwJy58wDgsJQbPwpc318Z2om3Xb3jzc//bAM8Mo6Ooo+uiodSHiCkgQ07AgwfclHwFdXwHIJCnqGjyHDRnBrgHsLf/ZuH53d3Iip7uuCnogOumVyanWvC3DZSLwY1aQF3ouSkzbh9ZzDzhTgEwVhyDfxsyxL9keq/VlJUK3UOz42QzzUxrXMcm/ZyfPE7RTjcwfyZFJUiQakgdO93gUKOY+/hCJv3uCCSoZinaBYVf+mqdGNO/xrccO2yu/dVV7+fs9Fd06bPOtUQOOHxmgK4GYQsx4YdI7vmzV3zwTec33XbpWsWv2/vzq0XDx/egbwzjnmzBKZPG8YLBxmGtvqY080VN3cISnkHPV0UAzMdLBtg6CkP4xPf4vj53hnIMQafEXi6M1nW0hr5L7ba9oOaWJQkUQOkdXops5ojdIdi0x6E2BYcuqe8BKWKpmQdQ0YDV95GDs8NUcrX8fyuEJ/6Vg+eXt+N02YTlD0ORl34nvpGnsMxo6uOzfvr+NHzZfSWPMyoSPTP6cJpc85A/7L5D5U7/C8OTF/w3HIEuwjpP9Wn/aTGaxLgALBificAbJVSbgWw/pGHZW+lY8U/TIxsWFTEg2z7wSN4autM1WMxUhlBjBJ4LoHvAs2QYmyiiMvXjGHz0Cg2/HMF9bCAsmtp42ZnluSYiuaLHwrkjNrRhK0OpnQz12SZqueHONQ23rnu1STMXEC0qiqxlq2B7rkchDRx5/dzuP+JLiyYTuG7AkEoEIRS1TqhEp4r4HsBzlp0FHeUQmw9PAsXX3AWP3/N8q2+w39n7oJ1+wFsJmSSCcRrZLxmAW6GPgGbx8eObpZSXBVM0L4mX3HnF++/v+PA+EjREw00QyDiAGQS/UcABBEFpItyrgmKCFwCqpJ1gvDEiZNWPJiJEIxVlSTxgZIM54btYLFBGgfB6DuDhKAkrt0NqH1xQcCETICeckIZv6aOG2GqD+lYw4WEA89Ra7mQqnOZVBq350YAAiztL+HLf9I/MUreMVYdJ9ctXjx3H2Ns12sd2Ga85gFuRrmjC1LyXehYvefQ8Mhpb/wFZ+0Vl5CvP/2zF6ItGzZ3h7UjZaljNECsGAwLbHFAFbJaM5I6/YZva8vtMJWQYbT3tFqjhpTpBI24X2WKqqgXalIZ+xfV/nW7d6Fb/AndyNWu5Z34oaR29CT7lhLgXIBzlSBcyAGVrunjXb3nDBenLXWW9eE93J//YzhdoxAQOff1AW7gdQRwACCEAYBYv23o6BnL5n5v8NDYkr/67HeaT//o03/y0MNP3DB8aHdYKUbL8rkwR9AAoxEIDRFxCQkKiqRjm6nNkqrPYvh3DG5luY1WblQU2zgDmoZYXlMDUpnmGrGcSTV4ARrHjqsk36RTg5BI8iM5geA0zp2EpPBoCCEiBJGDiHPk80UUCoVGZ1dhU9/AHHfBktW3DT73zr/unPENH053g/Kq8PzuU30KX/LxugK4GSsXzgKU0ayt37QTrut8znHY585bcxrrrJRucWh9CZpbLywXN7KNexzc92QBYV0FcjGqHEUOAzyH6Ax/EheQSSy4BrdDdKI0YkkwlW2kt+OmIoAEIi5ij6oZScljxeFF7Ean4CzDu7VHEpFaHzKGSHAIQRFFAIHAVWubeGJLAzzoxcoVM/l5Zy14ZFpXcXMU1N5LaJ0zJ4++M26Xfnl+7VSfr5dzvC4Bbo+VywaAxJ5GE9XR3yY01yXCVZ+eOBR59zwV8aGxWWevXuWtHh4eQxiMI3IlXMeB7yoAm/g9oRusUqLCARxHTVh9D1pXViAOIw1AktwRjCMnqgk0m1xFQWoOT6A4chQJcN0jx+VqI0pInJNqRwpyThBGQBRREKLkwdALIVAE9afj6nXh0+v3OM/sPLyQvefX3xjMnzPtzyZqzaPd3Z2n+pS8ouP1Q7ZOcnzhX+4DIbi42uBXymZwXVirL5VRDfv2bEUpJ8GjJg4ON1FvSvieg3LRQbngoFhwUMgRFHygkBfI+wrgzZCgWqNohgqoviuRz0nkfYHRqsRzWyKMTQjkPIq8T+F5FAQEQShQq0cIIuVo8j2Syk0tF4BKUaCQC0EQYaJBMVJ1UcjnMKObYOnSeah0OMjnvBe6OnEnc5z7pcRDTuXlLazzah+vewt+vPH+X7saAB46cHD4IQAPN4No4eEjR8S3bz8oVi7tmT9rZuXDjz61C+M1B3v3HcB4dRSlnOr76DAHrgMUcxzdHQG6yk0cOurh8EgBtQaB7xLkPKBc4FjYV8XR2hj+7yMlVEdzWNirQO45DJ6reP32A8ChEYHpJaCrpONZIBFFIRgoukoRZkwvotQxE4dHBDoxD7Xq6GeZc2TH7P6LaKnSRSlxt0ngeyz/+uPTJzP+2wPcjJkzugHge+a1lPsA+J1DBwYfPzgCjFTd8IxVy/+o4OOKSonCcwS2bn4OzUYVlXKIvpkT2DYU4IkNBIcPTYAQlavoOQyV4gSOThzBw88HOGtpE48+V8HQsI/uMlApEhTzAGMc03pCPLsT2LUnj05KUcgzdFbKOGfN2SgWHHR3SFRK/IEwbHye+Nx1yytQKM9+SPDmSE/vzFN9CF+V438APskgpA8ARgD8BwBs37kfADZRImZ6LoQUIfbv244waMDzBAoFYMeBRnjeOZd9fPee2ptGq0Houwzz+lz0z5/Akeoo3HwF154botQpMDZSwGkDHhb2AZ7LEXLm1qPcfx6q/eDj2/d2uMyh8DyGUqmEFSuWI5fzkPdBfY8cALBjcXn2qT5Er4nx356Dv5Rj15ZHQSlmPvzUUOXA4ab0XIL5vS6WL6jhaLWKR5/rwYUrAzy6sYHRsTyWzXWxoE/CoRwTTZccrc8aBeSBq6+86FT/lNfN+P/Bn/hDnRfu+QAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QyMTowNzo1NyswMDowMBCDEyIAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMjE6MDc6NTcrMDA6MDBh3queAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 50894347
    {'hecke_orbit_code': 36028797052523560, 'n': 1, 'trace_an': 1}
  • id: 50894348
    {'hecke_orbit_code': 36028797052523560, 'n': 2, 'trace_an': 0}
  • id: 50894349
    {'hecke_orbit_code': 36028797052523560, 'n': 3, 'trace_an': 1}
  • id: 50894350
    {'hecke_orbit_code': 36028797052523560, 'n': 4, 'trace_an': 0}
  • id: 50894351
    {'hecke_orbit_code': 36028797052523560, 'n': 5, 'trace_an': -1}
  • id: 50894352
    {'hecke_orbit_code': 36028797052523560, 'n': 6, 'trace_an': 0}
  • id: 50894353
    {'hecke_orbit_code': 36028797052523560, 'n': 7, 'trace_an': -4}
  • id: 50894354
    {'hecke_orbit_code': 36028797052523560, 'n': 8, 'trace_an': 0}
  • id: 50894355
    {'hecke_orbit_code': 36028797052523560, 'n': 9, 'trace_an': 1}
  • id: 50894356
    {'hecke_orbit_code': 36028797052523560, 'n': 10, 'trace_an': 0}
  • id: 50894357
    {'hecke_orbit_code': 36028797052523560, 'n': 11, 'trace_an': 4}
  • id: 50894358
    {'hecke_orbit_code': 36028797052523560, 'n': 12, 'trace_an': 0}
  • id: 50894359
    {'hecke_orbit_code': 36028797052523560, 'n': 13, 'trace_an': -2}
  • id: 50894360
    {'hecke_orbit_code': 36028797052523560, 'n': 14, 'trace_an': 0}
  • id: 50894361
    {'hecke_orbit_code': 36028797052523560, 'n': 15, 'trace_an': -1}
  • id: 50894362
    {'hecke_orbit_code': 36028797052523560, 'n': 16, 'trace_an': 0}
  • id: 50894363
    {'hecke_orbit_code': 36028797052523560, 'n': 17, 'trace_an': 6}
  • id: 50894364
    {'hecke_orbit_code': 36028797052523560, 'n': 18, 'trace_an': 0}
  • id: 50894365
    {'hecke_orbit_code': 36028797052523560, 'n': 19, 'trace_an': -8}
  • id: 50894366
    {'hecke_orbit_code': 36028797052523560, 'n': 20, 'trace_an': 0}
  • id: 50894367
    {'hecke_orbit_code': 36028797052523560, 'n': 21, 'trace_an': -4}
  • id: 50894368
    {'hecke_orbit_code': 36028797052523560, 'n': 22, 'trace_an': 0}
  • id: 50894369
    {'hecke_orbit_code': 36028797052523560, 'n': 23, 'trace_an': 0}
  • id: 50894370
    {'hecke_orbit_code': 36028797052523560, 'n': 24, 'trace_an': 0}
  • id: 50894371
    {'hecke_orbit_code': 36028797052523560, 'n': 25, 'trace_an': 1}
  • id: 50894372
    {'hecke_orbit_code': 36028797052523560, 'n': 26, 'trace_an': 0}
  • id: 50894373
    {'hecke_orbit_code': 36028797052523560, 'n': 27, 'trace_an': 1}
  • id: 50894374
    {'hecke_orbit_code': 36028797052523560, 'n': 28, 'trace_an': 0}
  • id: 50894375
    {'hecke_orbit_code': 36028797052523560, 'n': 29, 'trace_an': 2}
  • id: 50894376
    {'hecke_orbit_code': 36028797052523560, 'n': 30, 'trace_an': 0}
  • id: 50894377
    {'hecke_orbit_code': 36028797052523560, 'n': 31, 'trace_an': -8}
  • id: 50894378
    {'hecke_orbit_code': 36028797052523560, 'n': 32, 'trace_an': 0}
  • id: 50894379
    {'hecke_orbit_code': 36028797052523560, 'n': 33, 'trace_an': 4}
  • id: 50894380
    {'hecke_orbit_code': 36028797052523560, 'n': 34, 'trace_an': 0}
  • id: 50894381
    {'hecke_orbit_code': 36028797052523560, 'n': 35, 'trace_an': 4}
  • id: 50894382
    {'hecke_orbit_code': 36028797052523560, 'n': 36, 'trace_an': 0}
  • id: 50894383
    {'hecke_orbit_code': 36028797052523560, 'n': 37, 'trace_an': -2}
  • id: 50894384
    {'hecke_orbit_code': 36028797052523560, 'n': 38, 'trace_an': 0}
  • id: 50894385
    {'hecke_orbit_code': 36028797052523560, 'n': 39, 'trace_an': -2}
  • id: 50894386
    {'hecke_orbit_code': 36028797052523560, 'n': 40, 'trace_an': 0}
  • id: 50894387
    {'hecke_orbit_code': 36028797052523560, 'n': 41, 'trace_an': 2}
  • id: 50894388
    {'hecke_orbit_code': 36028797052523560, 'n': 42, 'trace_an': 0}
  • id: 50894389
    {'hecke_orbit_code': 36028797052523560, 'n': 43, 'trace_an': -1}
  • id: 50894390
    {'hecke_orbit_code': 36028797052523560, 'n': 44, 'trace_an': 0}
  • id: 50894391
    {'hecke_orbit_code': 36028797052523560, 'n': 45, 'trace_an': -1}
  • id: 50894392
    {'hecke_orbit_code': 36028797052523560, 'n': 46, 'trace_an': 0}
  • id: 50894393
    {'hecke_orbit_code': 36028797052523560, 'n': 47, 'trace_an': 8}
  • id: 50894394
    {'hecke_orbit_code': 36028797052523560, 'n': 48, 'trace_an': 0}
  • id: 50894395
    {'hecke_orbit_code': 36028797052523560, 'n': 49, 'trace_an': 9}
  • id: 50894396
    {'hecke_orbit_code': 36028797052523560, 'n': 50, 'trace_an': 0}
  • id: 50894397
    {'hecke_orbit_code': 36028797052523560, 'n': 51, 'trace_an': 6}
  • id: 50894398
    {'hecke_orbit_code': 36028797052523560, 'n': 52, 'trace_an': 0}
  • id: 50894399
    {'hecke_orbit_code': 36028797052523560, 'n': 53, 'trace_an': 6}
  • id: 50894400
    {'hecke_orbit_code': 36028797052523560, 'n': 54, 'trace_an': 0}
  • id: 50894401
    {'hecke_orbit_code': 36028797052523560, 'n': 55, 'trace_an': -4}
  • id: 50894402
    {'hecke_orbit_code': 36028797052523560, 'n': 56, 'trace_an': 0}
  • id: 50894403
    {'hecke_orbit_code': 36028797052523560, 'n': 57, 'trace_an': -8}
  • id: 50894404
    {'hecke_orbit_code': 36028797052523560, 'n': 58, 'trace_an': 0}
  • id: 50894405
    {'hecke_orbit_code': 36028797052523560, 'n': 59, 'trace_an': 12}
  • id: 50894406
    {'hecke_orbit_code': 36028797052523560, 'n': 60, 'trace_an': 0}
  • id: 50894407
    {'hecke_orbit_code': 36028797052523560, 'n': 61, 'trace_an': 10}
  • id: 50894408
    {'hecke_orbit_code': 36028797052523560, 'n': 62, 'trace_an': 0}
  • id: 50894409
    {'hecke_orbit_code': 36028797052523560, 'n': 63, 'trace_an': -4}
  • id: 50894410
    {'hecke_orbit_code': 36028797052523560, 'n': 64, 'trace_an': 0}
  • id: 50894411
    {'hecke_orbit_code': 36028797052523560, 'n': 65, 'trace_an': 2}
  • id: 50894412
    {'hecke_orbit_code': 36028797052523560, 'n': 66, 'trace_an': 0}
  • id: 50894413
    {'hecke_orbit_code': 36028797052523560, 'n': 67, 'trace_an': 4}
  • id: 50894414
    {'hecke_orbit_code': 36028797052523560, 'n': 68, 'trace_an': 0}
  • id: 50894415
    {'hecke_orbit_code': 36028797052523560, 'n': 69, 'trace_an': 0}
  • id: 50894416
    {'hecke_orbit_code': 36028797052523560, 'n': 70, 'trace_an': 0}
  • id: 50894417
    {'hecke_orbit_code': 36028797052523560, 'n': 71, 'trace_an': 0}
  • id: 50894418
    {'hecke_orbit_code': 36028797052523560, 'n': 72, 'trace_an': 0}
  • id: 50894419
    {'hecke_orbit_code': 36028797052523560, 'n': 73, 'trace_an': -2}
  • id: 50894420
    {'hecke_orbit_code': 36028797052523560, 'n': 74, 'trace_an': 0}
  • id: 50894421
    {'hecke_orbit_code': 36028797052523560, 'n': 75, 'trace_an': 1}
  • id: 50894422
    {'hecke_orbit_code': 36028797052523560, 'n': 76, 'trace_an': 0}
  • id: 50894423
    {'hecke_orbit_code': 36028797052523560, 'n': 77, 'trace_an': -16}
  • id: 50894424
    {'hecke_orbit_code': 36028797052523560, 'n': 78, 'trace_an': 0}
  • id: 50894425
    {'hecke_orbit_code': 36028797052523560, 'n': 79, 'trace_an': 0}
  • id: 50894426
    {'hecke_orbit_code': 36028797052523560, 'n': 80, 'trace_an': 0}
  • id: 50894427
    {'hecke_orbit_code': 36028797052523560, 'n': 81, 'trace_an': 1}
  • id: 50894428
    {'hecke_orbit_code': 36028797052523560, 'n': 82, 'trace_an': 0}
  • id: 50894429
    {'hecke_orbit_code': 36028797052523560, 'n': 83, 'trace_an': 0}
  • id: 50894430
    {'hecke_orbit_code': 36028797052523560, 'n': 84, 'trace_an': 0}
  • id: 50894431
    {'hecke_orbit_code': 36028797052523560, 'n': 85, 'trace_an': -6}
  • id: 50894432
    {'hecke_orbit_code': 36028797052523560, 'n': 86, 'trace_an': 0}
  • id: 50894433
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  • id: 50894434
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  • id: 50894435
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  • id: 50894436
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  • id: 50894437
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  • id: 50894438
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  • id: 50894439
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  • id: 50894440
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  • id: 50894441
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  • id: 50894442
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  • id: 50894443
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  • id: 50894444
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  • id: 50894445
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  • id: 50894446
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  • id: 50894447
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  • id: 50894448
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  • id: 50894449
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  • id: 50894450
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  • id: 50894451
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  • id: 50894452
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  • id: 50894453
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  • id: 50894454
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  • id: 50894455
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  • id: 50894456
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  • id: 50894457
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  • id: 50894458
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  • id: 50894459
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  • id: 50894460
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  • id: 50894461
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  • id: 50894462
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  • id: 50894463
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  • id: 50894464
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  • id: 50894465
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  • id: 50894466
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  • id: 50894467
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  • id: 50894468
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  • id: 50894469
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  • id: 50894470
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  • id: 50894471
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  • id: 50894472
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  • id: 50894473
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  • id: 50894474
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  • id: 50894475
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  • id: 50894476
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  • id: 50894477
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  • id: 50894478
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  • id: 50894479
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  • id: 50894480
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  • id: 50894481
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  • id: 50894482
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  • id: 50894483
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  • id: 50894484
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  • id: 50894485
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  • id: 50894486
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  • id: 50894487
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  • id: 50894488
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  • id: 50894489
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  • id: 50894490
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  • id: 50894491
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  • id: 50894492
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  • id: 50894493
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  • id: 50894494
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  • id: 50894495
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  • id: 50894496
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  • id: 50894497
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  • id: 50894498
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  • id: 50894499
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  • id: 50894500
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  • id: 50894501
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  • id: 50894502
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  • id: 50894503
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  • id: 50894504
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  • id: 50894505
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  • id: 50894506
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  • id: 50894507
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  • id: 50894508
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  • id: 50894509
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  • id: 50894510
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  • id: 50894511
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  • id: 50894512
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  • id: 50894513
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  • id: 50894514
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  • id: 50894515
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  • id: 50894516
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  • id: 50894517
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  • id: 50894518
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  • id: 50894519
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  • id: 50894520
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  • id: 50894521
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  • id: 50894522
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  • id: 50894523
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  • id: 50894524
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  • id: 50894525
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  • id: 50894526
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  • id: 50894527
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  • id: 50894528
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  • id: 50894529
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  • id: 50894530
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  • id: 50894531
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  • id: 50894532
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  • id: 50894533
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  • id: 50894534
    {'hecke_orbit_code': 36028797052523560, 'n': 557, 'trace_an': -34}
  • id: 50894535
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  • id: 50894536
    {'hecke_orbit_code': 36028797052523560, 'n': 569, 'trace_an': 2}
  • id: 50894537
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  • id: 50894538
    {'hecke_orbit_code': 36028797052523560, 'n': 577, 'trace_an': 14}
  • id: 50894539
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  • id: 50894540
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  • id: 50894541
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  • id: 50894542
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  • id: 50894543
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  • id: 50894544
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  • id: 50894545
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  • id: 50894546
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  • id: 50894547
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  • id: 50894548
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  • id: 50894549
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  • id: 50894550
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  • id: 50894551
    {'hecke_orbit_code': 36028797052523560, 'n': 647, 'trace_an': -32}
  • id: 50894552
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  • id: 50894553
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  • id: 50894554
    {'hecke_orbit_code': 36028797052523560, 'n': 661, 'trace_an': 22}
  • id: 50894555
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  • id: 50894556
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  • id: 50894557
    {'hecke_orbit_code': 36028797052523560, 'n': 683, 'trace_an': 40}
  • id: 50894558
    {'hecke_orbit_code': 36028797052523560, 'n': 691, 'trace_an': -8}
  • id: 50894559
    {'hecke_orbit_code': 36028797052523560, 'n': 701, 'trace_an': 26}
  • id: 50894560
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  • id: 50894561
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  • id: 50894562
    {'hecke_orbit_code': 36028797052523560, 'n': 727, 'trace_an': -36}
  • id: 50894563
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  • id: 50894564
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  • id: 50894565
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  • id: 50894566
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  • id: 50894567
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  • id: 50894568
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  • id: 50894569
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  • id: 50894570
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  • id: 50894571
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  • id: 50894572
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  • id: 50894573
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  • id: 50894574
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  • id: 50894575
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  • id: 50894576
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  • id: 50894577
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  • id: 50894578
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  • id: 50894579
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  • id: 50894580
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  • id: 50894581
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  • id: 50894582
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  • id: 50894583
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  • id: 50894584
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  • id: 50894585
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  • id: 50894586
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  • id: 50894587
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  • id: 50894588
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  • id: 50894589
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  • id: 50894590
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  • id: 50894591
    {'hecke_orbit_code': 36028797052523560, 'n': 911, 'trace_an': -8}
  • id: 50894592
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  • id: 50894593
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  • id: 50894594
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  • id: 50894595
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  • id: 50894596
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  • id: 50894597
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  • id: 50894598
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  • id: 50894599
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  • id: 50894600
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  • id: 50894601
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  • id: 50894602
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  • id: 50894603
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  • id: 50894604
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